From cd2c553737088ddc2dabfa435b127f6d3ac0788b Mon Sep 17 00:00:00 2001 From: Vladimir Mandic Date: Fri, 14 Oct 2022 08:01:39 -0400 Subject: [PATCH] update tfjs --- CHANGELOG.md | 4 +- README.md | 2 +- dist/face-api.esm-nobundle.js | 2 +- dist/face-api.esm.js | 600 +++++++++--------- dist/face-api.esm.js.map | 6 +- dist/face-api.js | 600 +++++++++--------- dist/face-api.node-gpu.js | 2 +- dist/face-api.node-wasm.js | 2 +- dist/face-api.node.js | 2 +- dist/tfjs.esm.js | 600 +++++++++--------- dist/tfjs.version.js | 2 +- package.json | 32 +- typedoc/classes/AgeGenderNet.html | 24 +- typedoc/classes/BoundingBox.html | 12 +- typedoc/classes/Box.html | 12 +- typedoc/classes/ComposableTask.html | 8 +- .../ComputeAllFaceDescriptorsTask.html | 10 +- .../ComputeFaceDescriptorsTaskBase.html | 8 +- .../ComputeSingleFaceDescriptorTask.html | 10 +- .../classes/DetectAllFaceLandmarksTask.html | 10 +- typedoc/classes/DetectAllFacesTask.html | 20 +- .../classes/DetectFaceLandmarksTaskBase.html | 8 +- typedoc/classes/DetectFacesTaskBase.html | 8 +- .../DetectSingleFaceLandmarksTask.html | 10 +- typedoc/classes/DetectSingleFaceTask.html | 20 +- typedoc/classes/Dimensions.html | 8 +- typedoc/classes/FaceDetection.html | 8 +- typedoc/classes/FaceDetectionNet.html | 20 +- typedoc/classes/FaceExpressionNet.html | 24 +- typedoc/classes/FaceExpressions.html | 12 +- typedoc/classes/FaceLandmark68Net.html | 24 +- typedoc/classes/FaceLandmark68TinyNet.html | 24 +- typedoc/classes/FaceLandmarkNet.html | 24 +- typedoc/classes/FaceLandmarks.html | 12 +- typedoc/classes/FaceLandmarks5.html | 12 +- typedoc/classes/FaceLandmarks68.html | 12 +- typedoc/classes/FaceMatch.html | 8 +- typedoc/classes/FaceMatcher.html | 8 +- typedoc/classes/FaceRecognitionNet.html | 20 +- typedoc/classes/LabeledBox.html | 12 +- typedoc/classes/LabeledFaceDescriptors.html | 8 +- typedoc/classes/NetInput.html | 8 +- typedoc/classes/NeuralNetwork.html | 20 +- typedoc/classes/ObjectDetection.html | 8 +- typedoc/classes/Point.html | 8 +- typedoc/classes/PredictedBox.html | 12 +- typedoc/classes/Rect.html | 12 +- typedoc/classes/SsdMobilenetv1.html | 20 +- typedoc/classes/SsdMobilenetv1Options.html | 8 +- typedoc/classes/TinyFaceDetector.html | 20 +- typedoc/classes/TinyFaceDetectorOptions.html | 8 +- typedoc/classes/TinyYolov2.html | 20 +- typedoc/classes/TinyYolov2Options.html | 8 +- typedoc/classes/draw.DrawBox.html | 8 +- typedoc/classes/draw.DrawBoxOptions.html | 8 +- typedoc/classes/draw.DrawFaceLandmarks.html | 8 +- .../draw.DrawFaceLandmarksOptions.html | 8 +- typedoc/classes/draw.DrawTextField.html | 8 +- .../classes/draw.DrawTextFieldOptions.html | 8 +- typedoc/enums/Gender.html | 8 +- typedoc/enums/draw.AnchorPosition.html | 8 +- typedoc/functions/allFaces.html | 8 +- typedoc/functions/allFacesSsdMobilenetv1.html | 8 +- typedoc/functions/allFacesTinyYolov2.html | 8 +- typedoc/functions/awaitMediaLoaded.html | 8 +- typedoc/functions/bufferToImage.html | 8 +- typedoc/functions/computeFaceDescriptor.html | 8 +- typedoc/functions/createCanvas.html | 8 +- typedoc/functions/createCanvasFromMedia.html | 8 +- typedoc/functions/createFaceDetectionNet.html | 8 +- .../functions/createFaceRecognitionNet.html | 8 +- typedoc/functions/createSsdMobilenetv1.html | 8 +- typedoc/functions/createTinyFaceDetector.html | 8 +- typedoc/functions/createTinyYolov2.html | 8 +- typedoc/functions/detectAllFaces.html | 8 +- typedoc/functions/detectFaceLandmarks.html | 8 +- .../functions/detectFaceLandmarksTiny.html | 8 +- typedoc/functions/detectLandmarks.html | 8 +- typedoc/functions/detectSingleFace.html | 8 +- typedoc/functions/draw.drawContour.html | 8 +- typedoc/functions/draw.drawDetections.html | 8 +- .../functions/draw.drawFaceExpressions.html | 8 +- .../functions/draw.drawFaceLandmarks-1.html | 8 +- typedoc/functions/euclideanDistance.html | 8 +- typedoc/functions/extendWithAge.html | 8 +- .../functions/extendWithFaceDescriptor.html | 8 +- .../functions/extendWithFaceDetection.html | 8 +- .../functions/extendWithFaceExpressions.html | 8 +- .../functions/extendWithFaceLandmarks.html | 10 +- typedoc/functions/extendWithGender.html | 8 +- typedoc/functions/extractFaceTensors.html | 8 +- typedoc/functions/extractFaces.html | 8 +- typedoc/functions/fetchImage.html | 8 +- typedoc/functions/fetchJson.html | 8 +- typedoc/functions/fetchNetWeights.html | 8 +- typedoc/functions/fetchOrThrow.html | 8 +- typedoc/functions/fetchVideo.html | 8 +- typedoc/functions/getContext2dOrThrow.html | 8 +- typedoc/functions/getMediaDimensions.html | 8 +- typedoc/functions/imageTensorToCanvas.html | 8 +- typedoc/functions/imageToSquare.html | 8 +- typedoc/functions/inverseSigmoid.html | 8 +- typedoc/functions/iou.html | 8 +- typedoc/functions/isMediaElement.html | 8 +- typedoc/functions/isMediaLoaded.html | 8 +- typedoc/functions/isWithAge.html | 12 +- typedoc/functions/isWithFaceDetection.html | 12 +- typedoc/functions/isWithFaceExpressions.html | 12 +- typedoc/functions/isWithFaceLandmarks.html | 12 +- typedoc/functions/isWithGender.html | 12 +- typedoc/functions/loadAgeGenderModel.html | 8 +- typedoc/functions/loadFaceDetectionModel.html | 8 +- .../functions/loadFaceExpressionModel.html | 8 +- typedoc/functions/loadFaceLandmarkModel.html | 8 +- .../functions/loadFaceLandmarkTinyModel.html | 8 +- .../functions/loadFaceRecognitionModel.html | 8 +- .../functions/loadSsdMobilenetv1Model.html | 8 +- .../functions/loadTinyFaceDetectorModel.html | 8 +- typedoc/functions/loadTinyYolov2Model.html | 8 +- typedoc/functions/loadWeightMap.html | 8 +- typedoc/functions/locateFaces.html | 8 +- typedoc/functions/matchDimensions.html | 12 +- typedoc/functions/minBbox.html | 8 +- typedoc/functions/nonMaxSuppression.html | 8 +- typedoc/functions/normalize.html | 8 +- typedoc/functions/padToSquare.html | 8 +- typedoc/functions/predictAgeAndGender.html | 8 +- .../functions/recognizeFaceExpressions.html | 8 +- typedoc/functions/resizeResults.html | 8 +- typedoc/functions/resolveInput.html | 8 +- typedoc/functions/shuffleArray.html | 8 +- typedoc/functions/sigmoid.html | 8 +- typedoc/functions/ssdMobilenetv1-1.html | 8 +- typedoc/functions/tinyFaceDetector-1.html | 8 +- typedoc/functions/tinyYolov2-1.html | 8 +- typedoc/functions/toNetInput.html | 8 +- .../utils.computeReshapedDimensions.html | 8 +- typedoc/functions/utils.getCenterPoint.html | 8 +- typedoc/functions/utils.isDimensions.html | 8 +- typedoc/functions/utils.isEven.html | 8 +- typedoc/functions/utils.isFloat.html | 8 +- typedoc/functions/utils.isTensor.html | 8 +- typedoc/functions/utils.isTensor1D.html | 8 +- typedoc/functions/utils.isTensor2D.html | 8 +- typedoc/functions/utils.isTensor3D.html | 8 +- typedoc/functions/utils.isTensor4D.html | 8 +- typedoc/functions/utils.isValidNumber.html | 8 +- .../functions/utils.isValidProbablitiy.html | 8 +- typedoc/functions/utils.range.html | 8 +- typedoc/functions/utils.round.html | 8 +- typedoc/functions/validateConfig.html | 8 +- typedoc/index.html | 8 +- typedoc/interfaces/IBoundingBox.html | 8 +- typedoc/interfaces/IDimensions.html | 8 +- typedoc/interfaces/IFaceDetecion.html | 8 +- typedoc/interfaces/IFaceLandmarks.html | 8 +- typedoc/interfaces/IFaceMatch.html | 8 +- typedoc/interfaces/IPoint.html | 8 +- typedoc/interfaces/IRect.html | 8 +- .../interfaces/ISsdMobilenetv1Options.html | 8 +- typedoc/interfaces/ITinyYolov2Options.html | 8 +- typedoc/interfaces/draw.IDrawBoxOptions.html | 8 +- .../draw.IDrawFaceLandmarksOptions.html | 8 +- .../draw.IDrawTextFieldOptions.html | 8 +- typedoc/modules/draw.html | 8 +- typedoc/modules/utils.html | 8 +- typedoc/types/AgeAndGenderPrediction.html | 10 +- typedoc/types/BatchNorm.html | 10 +- typedoc/types/ConvWithBatchNorm.html | 10 +- typedoc/types/DefaultTinyYolov2NetParams.html | 10 +- typedoc/types/Environment.html | 10 +- typedoc/types/FaceDetectionFunction.html | 8 +- typedoc/types/FaceDetectionOptions.html | 8 +- typedoc/types/FileSystem.html | 10 +- typedoc/types/ITinyFaceDetectorOptions.html | 8 +- typedoc/types/MobilenetParams.html | 10 +- typedoc/types/NetOutput.html | 10 +- typedoc/types/NetParams.html | 12 +- typedoc/types/TMediaElement.html | 8 +- typedoc/types/TNetInput.html | 8 +- typedoc/types/TNetInputArg.html | 8 +- typedoc/types/TResolvedNetInput.html | 8 +- typedoc/types/TinyYolov2Config.html | 10 +- typedoc/types/TinyYolov2NetParams.html | 8 +- typedoc/types/WithAge.html | 10 +- typedoc/types/WithFaceDescriptor.html | 10 +- typedoc/types/WithFaceDetection.html | 10 +- typedoc/types/WithFaceExpressions.html | 10 +- typedoc/types/WithFaceLandmarks.html | 10 +- typedoc/types/WithGender.html | 10 +- .../types/draw.DrawFaceExpressionsInput.html | 8 +- .../types/draw.DrawFaceLandmarksInput.html | 8 +- typedoc/types/draw.TDrawDetectionsInput.html | 8 +- typedoc/variables/FACE_EXPRESSION_LABELS.html | 8 +- typedoc/variables/env.html | 10 +- typedoc/variables/nets.html | 10 +- typedoc/variables/version.html | 8 +- types/face-api.d.ts | 96 ++- 198 files changed, 1888 insertions(+), 1826 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index fb61a16..dde133b 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,6 +1,6 @@ # @vladmandic/face-api - Version: **1.7.4** + Version: **1.7.5** Description: **FaceAPI: AI-powered Face Detection & Rotation Tracking, Face Description & Recognition, Age & Gender & Emotion Prediction for Browser and NodeJS using TensorFlow/JS** Author: **Vladimir Mandic ** @@ -9,7 +9,7 @@ ## Changelog -### **HEAD -> master** 2022/10/09 mandic00@live.com +### **1.7.5** 2022/10/09 mandic00@live.com - create funding.yml - add node-wasm demo diff --git a/README.md b/README.md index 817d1d9..1a336e8 100644 --- a/README.md +++ b/README.md @@ -469,7 +469,7 @@ but extends it with newer AI models, additional detection details, compatibility Compared to [face-api.js](https://github.com/justadudewhohacks/face-api.js) version **0.22.2**: - Compatible with `TensorFlow/JS 2.0+ & 3.0+` - Currently using **`TensorFlow/JS` 3.21.0** + Currently using **`TensorFlow/JS` 4.0** Original `face-api.js` is based on `TFJS` **1.7.4** - Compatible with `WebGL`, `CPU` and `WASM` TFJS Browser backends - Compatible with both `tfjs-node` and `tfjs-node-gpu` TFJS NodeJS backends diff --git a/dist/face-api.esm-nobundle.js b/dist/face-api.esm-nobundle.js index b3e764e..d0a36c2 100644 --- a/dist/face-api.esm-nobundle.js +++ b/dist/face-api.esm-nobundle.js @@ -4,4 +4,4 @@ author: ' */ -var lr=Object.defineProperty;var ho=Object.getOwnPropertyDescriptor;var bo=Object.getOwnPropertyNames;var go=Object.prototype.hasOwnProperty;var xo=(o=>typeof require!="undefined"?require:typeof Proxy!="undefined"?new Proxy(o,{get:(t,e)=>(typeof require!="undefined"?require:t)[e]}):o)(function(o){if(typeof require!="undefined")return require.apply(this,arguments);throw new Error('Dynamic require of "'+o+'" is not supported')});var Ve=(o,t)=>{for(var e in t)lr(o,e,{get:t[e],enumerable:!0})},fr=(o,t,e,r)=>{if(t&&typeof t=="object"||typeof t=="function")for(let a of bo(t))!go.call(o,a)&&a!==e&&lr(o,a,{get:()=>t[a],enumerable:!(r=ho(t,a))||r.enumerable});return o},v=(o,t,e)=>(fr(o,t,"default"),e&&fr(e,t,"default"));var n={};Ve(n,{version:()=>Eo});v(n,fn);v(n,ln);v(n,dn);import*as fn from"@tensorflow/tfjs/dist/index.js";import*as ln from"@tensorflow/tfjs-backend-webgl/dist/index.js";import*as dn from"@tensorflow/tfjs-backend-wasm/dist/index.js";var vo="3.21.0",yo="3.21.0",_o="3.21.0",To="3.21.0",Po="3.21.0",wo="3.21.0",Fo="3.21.0",Do="3.21.0",Eo={tfjs:vo,"tfjs-core":yo,"tfjs-data":_o,"tfjs-layers":To,"tfjs-converter":Po,"tfjs-backend-cpu":wo,"tfjs-backend-webgl":Fo,"tfjs-backend-wasm":Do};var Ar={};Ve(Ar,{AnchorPosition:()=>Ke,DrawBox:()=>ee,DrawBoxOptions:()=>de,DrawFaceLandmarks:()=>De,DrawFaceLandmarksOptions:()=>Fe,DrawTextField:()=>et,DrawTextFieldOptions:()=>kt,drawContour:()=>Z,drawDetections:()=>Ao,drawFaceExpressions:()=>Wo,drawFaceLandmarks:()=>Bo});function Z(o,t,e=!1){if(o.beginPath(),t.slice(1).forEach(({x:r,y:a},s)=>{let i=t[s];o.moveTo(i.x,i.y),o.lineTo(r,a)}),e){let r=t[t.length-1],a=t[0];if(!r||!a)return;o.moveTo(r.x,r.y),o.lineTo(a.x,a.y)}o.stroke()}var dr={};Ve(dr,{computeReshapedDimensions:()=>je,getCenterPoint:()=>yt,isDimensions:()=>ue,isEven:()=>pe,isFloat:()=>Ge,isTensor:()=>xt,isTensor1D:()=>Mo,isTensor2D:()=>Ye,isTensor3D:()=>K,isTensor4D:()=>R,isValidNumber:()=>G,isValidProbablitiy:()=>It,range:()=>U,round:()=>vt});var S=class{constructor(t,e){if(!G(t)||!G(e))throw new Error(`Dimensions.constructor - expected width and height to be valid numbers, instead have ${JSON.stringify({width:t,height:e})}`);this._width=t,this._height=e}get width(){return this._width}get height(){return this._height}reverse(){return new S(1/this.width,1/this.height)}};function xt(o,t){return o instanceof n.Tensor&&o.shape.length===t}function Mo(o){return xt(o,1)}function Ye(o){return xt(o,2)}function K(o){return xt(o,3)}function R(o){return xt(o,4)}function Ge(o){return o%1!==0}function pe(o){return o%2===0}function vt(o,t=2){let e=10**t;return Math.floor(o*e)/e}function ue(o){return o&&o.width&&o.height}function je({width:o,height:t},e){let r=e/Math.max(t,o);return new S(Math.round(o*r),Math.round(t*r))}function yt(o){return o.reduce((t,e)=>t.add(e),new b(0,0)).div(new b(o.length,o.length))}function U(o,t,e){return Array(o).fill(0).map((r,a)=>t+a*e)}function G(o){return!!o&&o!==1/0&&o!==-1/0&&!Number.isNaN(o)||o===0}function It(o){return G(o)&&o>=0&&o<=1}var b=class{constructor(t,e){this._x=t,this._y=e}get x(){return this._x}get y(){return this._y}add(t){return new b(this.x+t.x,this.y+t.y)}sub(t){return new b(this.x-t.x,this.y-t.y)}mul(t){return new b(this.x*t.x,this.y*t.y)}div(t){return new b(this.x/t.x,this.y/t.y)}abs(){return new b(Math.abs(this.x),Math.abs(this.y))}magnitude(){return Math.sqrt(this.x**2+this.y**2)}floor(){return new b(Math.floor(this.x),Math.floor(this.y))}};var w=class{static isRect(t){return!!t&&[t.x,t.y,t.width,t.height].every(G)}static assertIsValidBox(t,e,r=!1){if(!w.isRect(t))throw new Error(`${e} - invalid box: ${JSON.stringify(t)}, expected object with properties x, y, width, height`);if(!r&&(t.width<0||t.height<0))throw new Error(`${e} - width (${t.width}) and height (${t.height}) must be positive numbers`)}constructor(t,e=!0){let r=t||{},a=[r.left,r.top,r.right,r.bottom].every(G),s=[r.x,r.y,r.width,r.height].every(G);if(!s&&!a)throw new Error(`Box.constructor - expected box to be IBoundingBox | IRect, instead have ${JSON.stringify(r)}`);let[i,c,m,p]=s?[r.x,r.y,r.width,r.height]:[r.left,r.top,r.right-r.left,r.bottom-r.top];w.assertIsValidBox({x:i,y:c,width:m,height:p},"Box.constructor",e),this._x=i,this._y=c,this._width=m,this._height=p}get x(){return this._x}get y(){return this._y}get width(){return this._width}get height(){return this._height}get left(){return this.x}get top(){return this.y}get right(){return this.x+this.width}get bottom(){return this.y+this.height}get area(){return this.width*this.height}get topLeft(){return new b(this.left,this.top)}get topRight(){return new b(this.right,this.top)}get bottomLeft(){return new b(this.left,this.bottom)}get bottomRight(){return new b(this.right,this.bottom)}round(){let[t,e,r,a]=[this.x,this.y,this.width,this.height].map(s=>Math.round(s));return new w({x:t,y:e,width:r,height:a})}floor(){let[t,e,r,a]=[this.x,this.y,this.width,this.height].map(s=>Math.floor(s));return new w({x:t,y:e,width:r,height:a})}toSquare(){let{x:t,y:e,width:r,height:a}=this,s=Math.abs(r-a);return re&&(c=-f+e+r,f=e),l>t&&(m=-l+t+a,l=t),p<1&&(m=2-p,p=1),u<1&&(m=2-u,u=1),{dy:i,edy:m,dx:s,edx:c,y:u,ey:l,x:p,ex:f,w:r,h:a}}calibrate(t){return new w({left:this.left+t.left*this.width,top:this.top+t.top*this.height,right:this.right+t.right*this.width,bottom:this.bottom+t.bottom*this.height}).toSquare().round()}};var Nt=class extends w{constructor(t,e,r,a,s=!1){super({left:t,top:e,right:r,bottom:a},s)}};var ct=class{constructor(t,e,r,a,s){this._imageDims=new S(s.width,s.height),this._score=t,this._classScore=e,this._className=r,this._box=new w(a).rescale(this._imageDims)}get score(){return this._score}get classScore(){return this._classScore}get className(){return this._className}get box(){return this._box}get imageDims(){return this._imageDims}get imageWidth(){return this.imageDims.width}get imageHeight(){return this.imageDims.height}get relativeBox(){return new w(this._box).rescale(this.imageDims.reverse())}forSize(t,e){return new ct(this.score,this.classScore,this.className,this.relativeBox,{width:t,height:e})}};var E=class extends ct{constructor(t,e,r){super(t,t,"",e,r)}forSize(t,e){let{score:r,relativeBox:a,imageDims:s}=super.forSize(t,e);return new E(r,a,s)}};function hr(o,t,e=!0){let r=Math.max(0,Math.min(o.right,t.right)-Math.max(o.left,t.left)),a=Math.max(0,Math.min(o.bottom,t.bottom)-Math.max(o.top,t.top)),s=r*a;return e?s/(o.area+t.area-s):s/Math.min(o.area,t.area)}function br(o){let t=o.map(c=>c.x),e=o.map(c=>c.y),r=t.reduce((c,m)=>mmcc({score:i,boxIndex:c})).sort((i,c)=>i.score-c.score).map(i=>i.boxIndex),s=[];for(;a.length>0;){let i=a.pop();s.push(i);let c=a,m=[];for(let p=0;pm[u]<=e)}return s}function X(o,t){return n.tidy(()=>{let[e,r,a]=t,s=n.fill([...o.shape.slice(0,3),1],e,"float32"),i=n.fill([...o.shape.slice(0,3),1],r,"float32"),c=n.fill([...o.shape.slice(0,3),1],a,"float32"),m=n.concat([s,i,c],3);return n.sub(o,m)})}function xr(o,t=!1){return n.tidy(()=>{let[e,r]=o.shape.slice(1);if(e===r)return o;let a=Math.abs(e-r),s=Math.round(a*(t?.5:1)),i=e>r?2:1,c=l=>{let d=o.shape.slice();return d[i]=l,n.fill(d,0,"float32")},m=c(s),p=a-m.shape[i],f=[t&&p?c(p):null,o,m].filter(l=>!!l).map(l=>n.cast(l,"float32"));return n.concat(f,i)})}function Hn(o){let t=o.slice();for(let e=t.length-1;e>0;e--){let r=Math.floor(Math.random()*(e+1)),a=t[e];t[e]=t[r],t[r]=a}return t}function fe(o){return 1/(1+Math.exp(-o))}function Vn(o){return Math.log(o/(1-o))}var St=class extends w{constructor(t,e,r,a,s=!1){super({x:t,y:e,width:r,height:a},s)}};var Co=.5,Io=.43,No=.45,$=class{constructor(t,e,r=new b(0,0)){let{width:a,height:s}=e;this._imgDims=new S(a,s),this._shift=r,this._positions=t.map(i=>i.mul(new b(a,s)).add(r))}get shift(){return new b(this._shift.x,this._shift.y)}get imageWidth(){return this._imgDims.width}get imageHeight(){return this._imgDims.height}get positions(){return this._positions}get relativePositions(){return this._positions.map(t=>t.sub(this._shift).div(new b(this.imageWidth,this.imageHeight)))}forSize(t,e){return new this.constructor(this.relativePositions,{width:t,height:e})}shiftBy(t,e){return new this.constructor(this.relativePositions,this._imgDims,new b(t,e))}shiftByPoint(t){return this.shiftBy(t.x,t.y)}align(t,e={}){if(t){let s=t instanceof E?t.box.floor():new w(t);return this.shiftBy(s.x,s.y).align(null,e)}let{useDlibAlignment:r,minBoxPadding:a}={useDlibAlignment:!1,minBoxPadding:.2,...e};return r?this.alignDlib():this.alignMinBbox(a)}alignDlib(){let t=this.getRefPointsForAlignment(),[e,r,a]=t,s=f=>a.sub(f).magnitude(),i=(s(e)+s(r))/2,c=Math.floor(i/No),m=yt(t),p=Math.floor(Math.max(0,m.x-Co*c)),u=Math.floor(Math.max(0,m.y-Io*c));return new St(p,u,Math.min(c,this.imageWidth+p),Math.min(c,this.imageHeight+u))}alignMinBbox(t){let e=br(this.positions);return e.pad(e.width*t,e.height*t)}getRefPointsForAlignment(){throw new Error("getRefPointsForAlignment not implemented by base class")}};var vr=class extends ${getRefPointsForAlignment(){let t=this.positions;return[t[0],t[1],yt([t[3],t[4]])]}};var Lt=class extends ${getJawOutline(){return this.positions.slice(0,17)}getLeftEyeBrow(){return this.positions.slice(17,22)}getRightEyeBrow(){return this.positions.slice(22,27)}getNose(){return this.positions.slice(27,36)}getLeftEye(){return this.positions.slice(36,42)}getRightEye(){return this.positions.slice(42,48)}getMouth(){return this.positions.slice(48,68)}getRefPointsForAlignment(){return[this.getLeftEye(),this.getRightEye(),this.getMouth()].map(yt)}};var Kt=class{constructor(t,e){this._label=t,this._distance=e}get label(){return this._label}get distance(){return this._distance}toString(t=!0){return`${this.label}${t?` (${vt(this.distance)})`:""}`}};var Qt=class extends w{constructor(e,r){super(e);this._label=r}static assertIsValidLabeledBox(e,r){if(w.assertIsValidBox(e,r),!G(e.label))throw new Error(`${r} - expected property label (${e.label}) to be a number`)}get label(){return this._label}};var Q=class{constructor(t,e){if(typeof t!="string")throw new Error("LabeledFaceDescriptors - constructor expected label to be a string");if(!Array.isArray(e)||e.some(r=>!(r instanceof Float32Array)))throw new Error("LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array");this._label=t,this._descriptors=e}get label(){return this._label}get descriptors(){return this._descriptors}toJSON(){return{label:this.label,descriptors:this.descriptors.map(t=>Array.from(t))}}static fromJSON(t){let e=t.descriptors.map(r=>new Float32Array(r));return new Q(t.label,e)}};var yr=class extends Qt{constructor(e,r,a,s){super(e,r);this._score=a,this._classScore=s}static assertIsValidPredictedBox(e,r){if(Qt.assertIsValidLabeledBox(e,r),!It(e.score)||!It(e.classScore))throw new Error(`${r} - expected properties score (${e.score}) and (${e.classScore}) to be a number between [0, 1]`)}get score(){return this._score}get classScore(){return this._classScore}};function tt(o){return o.detection instanceof E}function At(o,t){return{...o,...{detection:t}}}function Ue(){let o=window.fetch;if(!o)throw new Error("fetch - missing fetch implementation for browser environment");return{Canvas:HTMLCanvasElement,CanvasRenderingContext2D,Image:HTMLImageElement,ImageData,Video:HTMLVideoElement,createCanvasElement:()=>document.createElement("canvas"),createImageElement:()=>document.createElement("img"),createVideoElement:()=>document.createElement("video"),fetch:o,readFile:()=>{throw new Error("readFile - filesystem not available for browser environment")}}}function te(){return typeof global=="object"&&typeof process!="undefined"&&process.versions!=null&&process.versions.node!=null}function le(o){let t="";if(!o&&te())try{o=xo("fs")}catch(r){t=r.toString()}return{readFile:o?r=>new Promise((a,s)=>{o.readFile(r,(i,c)=>i?s(i):a(c))}):()=>{throw new Error(`readFile - failed to require fs in nodejs environment with error: ${t}`)}}}function Xe(){let o=global.Canvas||global.HTMLCanvasElement,t=global.Image||global.HTMLImageElement,e=global.Video||global.HTMLVideoElement,r=()=>{if(o)return new o;throw new Error("createCanvasElement - missing Canvas implementation for nodejs environment")},a=()=>{if(t)return new t;throw new Error("createImageElement - missing Image implementation for nodejs environment")},s=()=>{if(e)return new e;throw new Error("createVideoElement - missing Video implementation for nodejs environment")},i=global.fetch,c=le();return{Canvas:o||class{},CanvasRenderingContext2D:global.CanvasRenderingContext2D||class{},Image:t||class{},ImageData:global.ImageData||class{},Video:global.HTMLVideoElement||class{},createCanvasElement:r,createImageElement:a,createVideoElement:s,fetch:i,...c}}function Je(){return typeof window=="object"&&typeof document!="undefined"&&typeof HTMLImageElement!="undefined"&&typeof HTMLCanvasElement!="undefined"&&typeof HTMLVideoElement!="undefined"&&typeof ImageData!="undefined"&&typeof CanvasRenderingContext2D!="undefined"}var C;function So(){if(!C)throw new Error("getEnv - environment is not defined, check isNodejs() and isBrowser()");return C}function qe(o){C=o}function Ze(){return Je()?qe(Ue()):te()?qe(Xe()):null}function Lo(o){if(C||Ze(),!C)throw new Error("monkeyPatch - environment is not defined, check isNodejs() and isBrowser()");let{Canvas:t=C.Canvas,Image:e=C.Image}=o;C.Canvas=t,C.Image=e,C.createCanvasElement=o.createCanvasElement||(()=>new t),C.createImageElement=o.createImageElement||(()=>new e),C.ImageData=o.ImageData||C.ImageData,C.Video=o.Video||C.Video,C.fetch=o.fetch||C.fetch,C.readFile=o.readFile||C.readFile}var T={getEnv:So,setEnv:qe,initialize:Ze,createBrowserEnv:Ue,createFileSystem:le,createNodejsEnv:Xe,monkeyPatch:Lo,isBrowser:Je,isNodejs:te};Ze();function Wt(o){return!T.isNodejs()&&typeof o=="string"?document.getElementById(o):o}function k(o){let{Canvas:t,CanvasRenderingContext2D:e}=T.getEnv();if(o instanceof e)return o;let r=Wt(o);if(!(r instanceof t))throw new Error("resolveContext2d - expected canvas to be of instance of Canvas");let a=r.getContext("2d");if(!a)throw new Error("resolveContext2d - canvas 2d context is null");return a}var Ke=(a=>(a.TOP_LEFT="TOP_LEFT",a.TOP_RIGHT="TOP_RIGHT",a.BOTTOM_LEFT="BOTTOM_LEFT",a.BOTTOM_RIGHT="BOTTOM_RIGHT",a))(Ke||{}),kt=class{constructor(t={}){let{anchorPosition:e,backgroundColor:r,fontColor:a,fontSize:s,fontStyle:i,padding:c}=t;this.anchorPosition=e||"TOP_LEFT",this.backgroundColor=r||"rgba(0, 0, 0, 0.5)",this.fontColor=a||"rgba(255, 255, 255, 1)",this.fontSize=s||14,this.fontStyle=i||"Georgia",this.padding=c||4}},et=class{constructor(t,e,r={}){this.text=typeof t=="string"?[t]:t instanceof et?t.text:t,this.anchor=e,this.options=new kt(r)}measureWidth(t){let{padding:e}=this.options;return this.text.map(r=>t.measureText(r).width).reduce((r,a)=>r{let g=m+f.x,_=m+f.y+(d+1)*i;r.fillText(l,g,_)})}};var de=class{constructor(t={}){let{boxColor:e,lineWidth:r,label:a,drawLabelOptions:s}=t;this.boxColor=e||"rgba(0, 0, 255, 1)",this.lineWidth=r||2,this.label=a;let i={anchorPosition:"BOTTOM_LEFT",backgroundColor:this.boxColor};this.drawLabelOptions=new kt({...i,...s})}},ee=class{constructor(t,e={}){this.box=new w(t),this.options=new de(e)}draw(t){let e=k(t),{boxColor:r,lineWidth:a}=this.options,{x:s,y:i,width:c,height:m}=this.box;e.strokeStyle=r,e.lineWidth=a,e.strokeRect(s,i,c,m);let{label:p}=this.options;p&&new et([p],{x:s-a/2,y:i},this.options.drawLabelOptions).draw(t)}};function Ao(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let a=r instanceof E?r.score:tt(r)?r.detection.score:void 0,s=r instanceof E?r.box:tt(r)?r.detection.box:new w(r),i=a?`${vt(a)}`:void 0;new ee(s,{label:i}).draw(o)})}function he(o){let{Image:t,Video:e}=T.getEnv();return o instanceof t&&o.complete||o instanceof e&&o.readyState>=3}function _r(o){return new Promise((t,e)=>{(o instanceof T.getEnv().Canvas||he(o))&&t(null);function r(s){!s.currentTarget||(s.currentTarget.removeEventListener("load",a),s.currentTarget.removeEventListener("error",r),e(s))}function a(s){!s.currentTarget||(s.currentTarget.removeEventListener("load",a),s.currentTarget.removeEventListener("error",r),t(s))}o.addEventListener("load",a),o.addEventListener("error",r)})}function Tr(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToImage - expected buf to be of type: Blob"));let r=new FileReader;r.onload=()=>{typeof r.result!="string"&&e(new Error("bufferToImage - expected reader.result to be a string, in onload"));let a=T.getEnv().createImageElement();a.onload=()=>t(a),a.onerror=e,a.src=r.result},r.onerror=e,r.readAsDataURL(o)})}function Bt(o){let{Image:t,Video:e}=T.getEnv();return o instanceof t?new S(o.naturalWidth,o.naturalHeight):o instanceof e?new S(o.videoWidth,o.videoHeight):new S(o.width,o.height)}function Rt({width:o,height:t}){let{createCanvasElement:e}=T.getEnv(),r=e();return r.width=o,r.height=t,r}function be(o,t){let{ImageData:e}=T.getEnv();if(!(o instanceof e)&&!he(o))throw new Error("createCanvasFromMedia - media has not finished loading yet");let{width:r,height:a}=t||Bt(o),s=Rt({width:r,height:a});return o instanceof e?k(s).putImageData(o,0,0):k(s).drawImage(o,0,0,r,a),s}async function Pr(o,t){let e=t||T.getEnv().createCanvasElement(),[r,a,s]=o.shape.slice(R(o)?1:0),i=n.tidy(()=>o.as3D(r,a,s).toInt());return await n.browser.toPixels(i,e),i.dispose(),e}function Qe(o){let{Image:t,Canvas:e,Video:r}=T.getEnv();return o instanceof t||o instanceof e||o instanceof r}function wr(o,t,e=!1){let{Image:r,Canvas:a}=T.getEnv();if(!(o instanceof r||o instanceof a))throw new Error("imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement");if(t<=0)return Rt({width:1,height:1});let s=Bt(o),i=t/Math.max(s.height,s.width),c=i*s.width,m=i*s.height,p=Rt({width:t,height:t}),u=o instanceof a?o:be(o),f=Math.abs(c-m)/2,l=e&&c0&&u.height>0&&k(p).drawImage(u,l,d,c,m),p}var rt=class{constructor(t,e=!1){this._imageTensors=[];this._canvases=[];this._treatAsBatchInput=!1;this._inputDimensions=[];this._inputSize=0;if(!Array.isArray(t))throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${t}`);this._treatAsBatchInput=e,this._batchSize=t.length,t.forEach((r,a)=>{if(K(r)){this._imageTensors[a]=r,this._inputDimensions[a]=r.shape;return}if(R(r)){let i=r.shape[0];if(i!==1)throw new Error(`NetInput - tf.Tensor4D with batchSize ${i} passed, but not supported in input array`);this._imageTensors[a]=r,this._inputDimensions[a]=r.shape.slice(1);return}let s=r instanceof T.getEnv().Canvas?r:be(r);this._canvases[a]=s,this._inputDimensions[a]=[s.height,s.width,3]})}get imageTensors(){return this._imageTensors}get canvases(){return this._canvases}get isBatchInput(){return this.batchSize>1||this._treatAsBatchInput}get batchSize(){return this._batchSize}get inputDimensions(){return this._inputDimensions}get inputSize(){return this._inputSize}get reshapedInputDimensions(){return U(this.batchSize,0,1).map((t,e)=>this.getReshapedInputDimensions(e))}getInput(t){return this.canvases[t]||this.imageTensors[t]}getInputDimensions(t){return this._inputDimensions[t]}getInputHeight(t){return this._inputDimensions[t][0]}getInputWidth(t){return this._inputDimensions[t][1]}getReshapedInputDimensions(t){if(typeof this.inputSize!="number")throw new Error("getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet");let e=this.getInputWidth(t),r=this.getInputHeight(t);return je({width:e,height:r},this.inputSize)}toBatchTensor(t,e=!0){return this._inputSize=t,n.tidy(()=>{let r=U(this.batchSize,0,1).map(s=>{let i=this.getInput(s);if(i instanceof n.Tensor){let c=R(i)?i:n.expandDims(i);return c=xr(c,e),(c.shape[1]!==t||c.shape[2]!==t)&&(c=n.image.resizeBilinear(c,[t,t],!1,!1)),c.as3D(t,t,3)}if(i instanceof T.getEnv().Canvas)return n.browser.fromPixels(wr(i,t,e));throw new Error(`toBatchTensor - at batchIdx ${s}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${i}`)});return n.stack(r.map(s=>n.cast(s,"float32"))).as4D(this.batchSize,t,t,3)})}};async function M(o){if(o instanceof rt)return o;let t=Array.isArray(o)?o:[o];if(!t.length)throw new Error("toNetInput - empty array passed as input");let e=a=>Array.isArray(o)?` at input index ${a}:`:"",r=t.map(Wt);return r.forEach((a,s)=>{if(!Qe(a)&&!K(a)&&!R(a))throw typeof t[s]=="string"?new Error(`toNetInput -${e(s)} string passed, but could not resolve HTMLElement for element id ${t[s]}`):new Error(`toNetInput -${e(s)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);if(R(a)){let i=a.shape[0];if(i!==1)throw new Error(`toNetInput -${e(s)} tf.Tensor4D with batchSize ${i} passed, but not supported in input array`)}}),await Promise.all(r.map(a=>Qe(a)&&_r(a))),new rt(r,Array.isArray(o))}async function re(o,t){let{Canvas:e}=T.getEnv(),r=o;if(!(o instanceof e)){let i=await M(o);if(i.batchSize>1)throw new Error("extractFaces - batchSize > 1 not supported");let c=i.getInput(0);r=c instanceof e?c:await Pr(c)}let a=k(r);return t.map(i=>i instanceof E?i.forSize(r.width,r.height).box.floor():i).map(i=>i.clipAtImageBorders(r.width,r.height)).map(({x:i,y:c,width:m,height:p})=>{let u=Rt({width:m,height:p});return m>0&&p>0&&k(u).putImageData(a.getImageData(i,c,m,p),0,0),u})}async function oe(o,t){if(!K(o)&&!R(o))throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");if(R(o)&&o.shape[0]>1)throw new Error("extractFaceTensors - batchSize > 1 not supported");return n.tidy(()=>{let[e,r,a]=o.shape.slice(R(o)?1:0);return t.map(c=>c instanceof E?c.forSize(r,e).box:c).map(c=>c.clipAtImageBorders(r,e)).filter(c=>c.width>0&&c.height>0).map(({x:c,y:m,width:p,height:u})=>n.slice3d(o.as3D(e,r,a),[m,c,0],[u,p,a]))})}async function mt(o,t){let{fetch:e}=T.getEnv(),r=await e(o,t);if(!(r.status<400))throw new Error(`failed to fetch: (${r.status}) ${r.statusText}, from url: ${r.url}`);return r}async function Mi(o){let t=await mt(o),e=await t.blob();if(!e.type.startsWith("image/"))throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${e.type}, for url: ${t.url}`);return Tr(e)}async function Fr(o){return(await mt(o)).json()}async function Li(o){return new Float32Array(await(await mt(o)).arrayBuffer())}function Dr(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToVideo - expected buf to be of type: Blob"));let r=T.getEnv().createVideoElement();r.oncanplay=()=>t(r),r.onerror=e,r.playsInline=!0,r.muted=!0,r.src=URL.createObjectURL(o),r.play()})}async function $i(o){let t=await mt(o),e=await t.blob();if(!e.type.startsWith("video/"))throw new Error(`fetchVideo - expected blob type to be of type video/*, instead have: ${e.type}, for url: ${t.url}`);return Dr(e)}function ge(o,t){let e=`${t}-weights_manifest.json`;if(!o)return{modelBaseUri:"",manifestUri:e};if(o==="/")return{modelBaseUri:"/",manifestUri:`/${e}`};let r=o.startsWith("http://")?"http://":o.startsWith("https://")?"https://":"";o=o.replace(r,"");let a=o.split("/").filter(c=>c),s=o.endsWith(".json")?a[a.length-1]:e,i=r+(o.endsWith(".json")?a.slice(0,a.length-1):a).join("/");return i=o.startsWith("/")?`/${i}`:i,{modelBaseUri:i,manifestUri:i==="/"?`/${s}`:`${i}/${s}`}}async function Er(o,t){let{manifestUri:e,modelBaseUri:r}=ge(o,t),a=await Fr(e);return n.io.loadWeights(a,r)}function ji(o,t,e=!1){let{width:r,height:a}=e?Bt(t):t;return o.width=r,o.height=a,{width:r,height:a}}var I=class{constructor(t){this._params=void 0;this._paramMappings=[];this._name=t}get params(){return this._params}get paramMappings(){return this._paramMappings}get isLoaded(){return!!this.params}getParamFromPath(t){let{obj:e,objProp:r}=this.traversePropertyPath(t);return e[r]}reassignParamFromPath(t,e){let{obj:r,objProp:a}=this.traversePropertyPath(t);r[a].dispose(),r[a]=e}getParamList(){return this._paramMappings.map(({paramPath:t})=>({path:t,tensor:this.getParamFromPath(t)}))}getTrainableParams(){return this.getParamList().filter(t=>t.tensor instanceof n.Variable)}getFrozenParams(){return this.getParamList().filter(t=>!(t.tensor instanceof n.Variable))}variable(){this.getFrozenParams().forEach(({path:t,tensor:e})=>{this.reassignParamFromPath(t,e.variable())})}freeze(){this.getTrainableParams().forEach(({path:t,tensor:e})=>{let r=n.tensor(e.dataSync());e.dispose(),this.reassignParamFromPath(t,r)})}dispose(t=!0){this.getParamList().forEach(e=>{if(t&&e.tensor.isDisposed)throw new Error(`param tensor has already been disposed for path ${e.path}`);e.tensor.dispose()}),this._params=void 0}serializeParams(){return new Float32Array(this.getParamList().map(({tensor:t})=>Array.from(t.dataSync())).reduce((t,e)=>t.concat(e)))}async load(t){if(t instanceof Float32Array){this.extractWeights(t);return}await this.loadFromUri(t)}async loadFromUri(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromUri - expected model uri`);let e=await Er(t,this.getDefaultModelName());this.loadFromWeightMap(e)}async loadFromDisk(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromDisk - expected model file path`);let{readFile:e}=T.getEnv(),{manifestUri:r,modelBaseUri:a}=ge(t,this.getDefaultModelName()),s=p=>Promise.all(p.map(u=>e(u).then(f=>f.buffer))),i=n.io.weightsLoaderFactory(s),c=JSON.parse((await e(r)).toString()),m=await i(c,a);this.loadFromWeightMap(m)}loadFromWeightMap(t){let{paramMappings:e,params:r}=this.extractParamsFromWeightMap(t);this._paramMappings=e,this._params=r}extractWeights(t){let{paramMappings:e,params:r}=this.extractParams(t);this._paramMappings=e,this._params=r}traversePropertyPath(t){if(!this.params)throw new Error("traversePropertyPath - model has no loaded params");let e=t.split("/").reduce((s,i)=>{if(!s.nextObj.hasOwnProperty(i))throw new Error(`traversePropertyPath - object does not have property ${i}, for path ${t}`);return{obj:s.nextObj,objProp:i,nextObj:s.nextObj[i]}},{nextObj:this.params}),{obj:r,objProp:a}=e;if(!r||!a||!(r[a]instanceof n.Tensor))throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${t}`);return{obj:r,objProp:a}}};function W(o,t,e){return n.tidy(()=>{let r=n.separableConv2d(o,t.depthwise_filter,t.pointwise_filter,e,"same");return r=n.add(r,t.bias),r})}function xe(o,t,e=!1){return n.tidy(()=>{let r=n.relu(e?n.add(n.conv2d(o,t.conv0.filters,[2,2],"same"),t.conv0.bias):W(o,t.conv0,[2,2])),a=W(r,t.conv1,[1,1]),s=n.relu(n.add(r,a)),i=W(s,t.conv2,[1,1]);return n.relu(n.add(r,n.add(a,i)))})}function ne(o,t,e=!1,r=!0){return n.tidy(()=>{let a=n.relu(e?n.add(n.conv2d(o,t.conv0.filters,r?[2,2]:[1,1],"same"),t.conv0.bias):W(o,t.conv0,r?[2,2]:[1,1])),s=W(a,t.conv1,[1,1]),i=n.relu(n.add(a,s)),c=W(i,t.conv2,[1,1]),m=n.relu(n.add(a,n.add(s,c))),p=W(m,t.conv3,[1,1]);return n.relu(n.add(a,n.add(s,n.add(c,p))))})}function _t(o,t,e="same",r=!1){return n.tidy(()=>{let a=n.add(n.conv2d(o,t.filters,[1,1],e),t.bias);return r?n.relu(a):a})}function L(o,t){Object.keys(o).forEach(e=>{t.some(r=>r.originalPath===e)||o[e].dispose()})}function $t(o,t){return(e,r,a,s)=>{let i=n.tensor4d(o(e*r*a*a),[a,a,e,r]),c=n.tensor1d(o(r));return t.push({paramPath:`${s}/filters`},{paramPath:`${s}/bias`}),{filters:i,bias:c}}}function ve(o,t){return(e,r,a)=>{let s=n.tensor2d(o(e*r),[e,r]),i=n.tensor1d(o(r));return t.push({paramPath:`${a}/weights`},{paramPath:`${a}/bias`}),{weights:s,bias:i}}}var ae=class{constructor(t,e,r){this.depthwise_filter=t;this.pointwise_filter=e;this.bias=r}};function Ot(o,t){return(e,r,a)=>{let s=n.tensor4d(o(9*e),[3,3,e,1]),i=n.tensor4d(o(e*r),[1,1,e,r]),c=n.tensor1d(o(r));return t.push({paramPath:`${a}/depthwise_filter`},{paramPath:`${a}/pointwise_filter`},{paramPath:`${a}/bias`}),new ae(s,i,c)}}function Ht(o){return t=>{let e=o(`${t}/depthwise_filter`,4),r=o(`${t}/pointwise_filter`,4),a=o(`${t}/bias`,1);return new ae(e,r,a)}}function B(o,t){return(e,r,a)=>{let s=o[e];if(!xt(s,r))throw new Error(`expected weightMap[${e}] to be a Tensor${r}D, instead have ${s}`);return t.push({originalPath:e,paramPath:a||e}),s}}function A(o){let t=o;function e(a){let s=t.slice(0,a);return t=t.slice(a),s}function r(){return t}return{extractWeights:e,getRemainingWeights:r}}function ye(o,t){let e=$t(o,t),r=Ot(o,t);function a(i,c,m,p=!1){let u=p?e(i,c,3,`${m}/conv0`):r(i,c,`${m}/conv0`),f=r(c,c,`${m}/conv1`),l=r(c,c,`${m}/conv2`);return{conv0:u,conv1:f,conv2:l}}function s(i,c,m,p=!1){let{conv0:u,conv1:f,conv2:l}=a(i,c,m,p),d=r(c,c,`${m}/conv3`);return{conv0:u,conv1:f,conv2:l,conv3:d}}return{extractDenseBlock3Params:a,extractDenseBlock4Params:s}}function Mr(o){let t=[],{extractWeights:e,getRemainingWeights:r}=A(o),{extractDenseBlock4Params:a}=ye(e,t),s=a(3,32,"dense0",!0),i=a(32,64,"dense1"),c=a(64,128,"dense2"),m=a(128,256,"dense3");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:s,dense1:i,dense2:c,dense3:m}}}function _e(o){return t=>{let e=o(`${t}/filters`,4),r=o(`${t}/bias`,1);return{filters:e,bias:r}}}function Te(o,t){let e=B(o,t),r=_e(e),a=Ht(e);function s(c,m=!1){let p=m?r(`${c}/conv0`):a(`${c}/conv0`),u=a(`${c}/conv1`),f=a(`${c}/conv2`);return{conv0:p,conv1:u,conv2:f}}function i(c,m=!1){let p=m?r(`${c}/conv0`):a(`${c}/conv0`),u=a(`${c}/conv1`),f=a(`${c}/conv2`),l=a(`${c}/conv3`);return{conv0:p,conv1:u,conv2:f,conv3:l}}return{extractDenseBlock3Params:s,extractDenseBlock4Params:i}}function Cr(o){let t=[],{extractDenseBlock4Params:e}=Te(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2"),dense3:e("dense3")};return L(o,t),{params:r,paramMappings:t}}var zt=class extends I{constructor(){super("FaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceFeatureExtractor - load model before inference");return n.tidy(()=>{let r=n.cast(t.toBatchTensor(112,!0),"float32"),s=X(r,[122.782,117.001,104.298]).div(255),i=ne(s,e.dense0,!0);return i=ne(i,e.dense1),i=ne(i,e.dense2),i=ne(i,e.dense3),i=n.avgPool(i,[7,7],[2,2],"valid"),i})}async forward(t){return this.forwardInput(await M(t))}getDefaultModelName(){return"face_feature_extractor_model"}extractParamsFromWeightMap(t){return Cr(t)}extractParams(t){return Mr(t)}};function se(o,t){return n.tidy(()=>n.add(n.matMul(o,t.weights),t.bias))}function Ir(o,t,e){let r=[],{extractWeights:a,getRemainingWeights:s}=A(o),c=ve(a,r)(t,e,"fc");if(s().length!==0)throw new Error(`weights remaing after extract: ${s().length}`);return{paramMappings:r,params:{fc:c}}}function Nr(o){let t=[],e=B(o,t);function r(s){let i=e(`${s}/weights`,2),c=e(`${s}/bias`,1);return{weights:i,bias:c}}let a={fc:r("fc")};return L(o,t),{params:a,paramMappings:t}}function Pe(o){let t={},e={};return Object.keys(o).forEach(r=>{let a=r.startsWith("fc")?e:t;a[r]=o[r]}),{featureExtractorMap:t,classifierMap:e}}var Vt=class extends I{constructor(e,r){super(e);this._faceFeatureExtractor=r}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return n.tidy(()=>{let a=e instanceof rt?this.faceFeatureExtractor.forwardInput(e):e;return se(a.as2D(a.shape[0],-1),r.fc)})}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:a}=this.extractClassifierParams(e);this._params=r,this._paramMappings=a}extractClassifierParams(e){return Ir(e,this.getClassifierChannelsIn(),this.getClassifierChannelsOut())}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:a}=Pe(e);return this.faceFeatureExtractor.loadFromWeightMap(r),Nr(a)}extractParams(e){let r=this.getClassifierChannelsIn(),a=this.getClassifierChannelsOut(),s=a*r+a,i=e.slice(0,e.length-s),c=e.slice(e.length-s);return this.faceFeatureExtractor.extractWeights(i),this.extractClassifierParams(c)}};var Sr=["neutral","happy","sad","angry","fearful","disgusted","surprised"],pt=class{constructor(t){this.neutral=0;this.happy=0;this.sad=0;this.angry=0;this.fearful=0;this.disgusted=0;this.surprised=0;if(t.length!==7)throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${t.length}`);Sr.forEach((e,r)=>{this[e]=t[r]})}asSortedArray(){return Sr.map(t=>({expression:t,probability:this[t]})).sort((t,e)=>e.probability-t.probability)}};var we=class extends Vt{constructor(t=new zt){super("FaceExpressionNet",t)}forwardInput(t){return n.tidy(()=>n.softmax(this.runNet(t)))}async forward(t){return this.forwardInput(await M(t))}async predictExpressions(t){let e=await M(t),r=await this.forwardInput(e),a=await Promise.all(n.unstack(r).map(async i=>{let c=i.dataSync();return i.dispose(),c}));r.dispose();let s=a.map(i=>new pt(i));return e.isBatchInput?s:s[0]}getDefaultModelName(){return"face_expression_model"}getClassifierChannelsIn(){return 256}getClassifierChannelsOut(){return 7}};function Lr(o){return o.expressions instanceof pt}function tr(o,t){return{...o,...{expressions:t}}}function Wo(o,t,e=.1,r){(Array.isArray(t)?t:[t]).forEach(s=>{let i=s instanceof pt?s:Lr(s)?s.expressions:void 0;if(!i)throw new Error("drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof");let m=i.asSortedArray().filter(f=>f.probability>e),p=tt(s)?s.detection.box.bottomLeft:r||new b(0,0);new et(m.map(f=>`${f.expression} (${vt(f.probability)})`),p).draw(o)})}function Yt(o){return tt(o)&&o.landmarks instanceof $&&o.unshiftedLandmarks instanceof $&&o.alignedRect instanceof E}function ko(o){let t=(c,m,p,u)=>Math.atan2(u-m,p-c)%Math.PI,e=c=>c*180/Math.PI,r={roll:void 0,pitch:void 0,yaw:void 0};if(!o||!o._positions||o._positions.length!==68)return r;let a=o._positions;r.roll=-t(a[36]._x,a[36]._y,a[45]._x,a[45]._y),r.pitch=t(0,Math.abs(a[0]._x-a[30]._x)/a[30]._x,Math.PI,Math.abs(a[16]._x-a[30]._x)/a[30]._x);let s=a.reduce((c,m)=>cc>m._y?c:m._y,-1/0);return r.yaw=Math.PI*(o._imgDims._height/(i-s)/1.4-1),r}function ie(o,t){let{box:e}=o.detection,r=t.shiftBy(e.x,e.y),a=r.align(),{imageDims:s}=o.detection,i=new E(o.detection.score,a.rescale(s.reverse()),s),c=ko(t);return{...o,...{landmarks:r,unshiftedLandmarks:t,alignedRect:i,angle:c}}}var Fe=class{constructor(t={}){let{drawLines:e=!0,drawPoints:r=!0,lineWidth:a,lineColor:s,pointSize:i,pointColor:c}=t;this.drawLines=e,this.drawPoints=r,this.lineWidth=a||1,this.pointSize=i||2,this.lineColor=s||"rgba(0, 255, 255, 1)",this.pointColor=c||"rgba(255, 0, 255, 1)"}},De=class{constructor(t,e={}){this.faceLandmarks=t,this.options=new Fe(e)}draw(t){let e=k(t),{drawLines:r,drawPoints:a,lineWidth:s,lineColor:i,pointSize:c,pointColor:m}=this.options;if(r&&this.faceLandmarks instanceof Lt&&(e.strokeStyle=i,e.lineWidth=s,Z(e,this.faceLandmarks.getJawOutline()),Z(e,this.faceLandmarks.getLeftEyeBrow()),Z(e,this.faceLandmarks.getRightEyeBrow()),Z(e,this.faceLandmarks.getNose()),Z(e,this.faceLandmarks.getLeftEye(),!0),Z(e,this.faceLandmarks.getRightEye(),!0),Z(e,this.faceLandmarks.getMouth(),!0)),a){e.strokeStyle=m,e.fillStyle=m;let p=u=>{e.beginPath(),e.arc(u.x,u.y,c,0,2*Math.PI),e.fill()};this.faceLandmarks.positions.forEach(p)}}};function Bo(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let a=r instanceof $?r:Yt(r)?r.landmarks:void 0;if(!a)throw new Error("drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks> or array thereof");new De(a).draw(o)})}var Wr="1.7.4";function Oo(o,t){let e=$t(o,t),r=Ot(o,t);function a(i,c,m){let p=r(i,c,`${m}/separable_conv0`),u=r(c,c,`${m}/separable_conv1`),f=e(i,c,1,`${m}/expansion_conv`);return{separable_conv0:p,separable_conv1:u,expansion_conv:f}}function s(i,c){let m=r(i,i,`${c}/separable_conv0`),p=r(i,i,`${c}/separable_conv1`),u=r(i,i,`${c}/separable_conv2`);return{separable_conv0:m,separable_conv1:p,separable_conv2:u}}return{extractConvParams:e,extractSeparableConvParams:r,extractReductionBlockParams:a,extractMainBlockParams:s}}function kr(o,t){let e=[],{extractWeights:r,getRemainingWeights:a}=A(o),{extractConvParams:s,extractSeparableConvParams:i,extractReductionBlockParams:c,extractMainBlockParams:m}=Oo(r,e),p=s(3,32,3,"entry_flow/conv_in"),u=c(32,64,"entry_flow/reduction_block_0"),f=c(64,128,"entry_flow/reduction_block_1"),l={conv_in:p,reduction_block_0:u,reduction_block_1:f},d={};U(t,0,1).forEach(h=>{d[`main_block_${h}`]=m(128,`middle_flow/main_block_${h}`)});let g=c(128,256,"exit_flow/reduction_block"),_=i(256,512,"exit_flow/separable_conv"),F={reduction_block:g,separable_conv:_};if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:e,params:{entry_flow:l,middle_flow:d,exit_flow:F}}}function Ho(o,t){let e=B(o,t),r=_e(e),a=Ht(e);function s(c){let m=a(`${c}/separable_conv0`),p=a(`${c}/separable_conv1`),u=r(`${c}/expansion_conv`);return{separable_conv0:m,separable_conv1:p,expansion_conv:u}}function i(c){let m=a(`${c}/separable_conv0`),p=a(`${c}/separable_conv1`),u=a(`${c}/separable_conv2`);return{separable_conv0:m,separable_conv1:p,separable_conv2:u}}return{extractConvParams:r,extractSeparableConvParams:a,extractReductionBlockParams:s,extractMainBlockParams:i}}function Br(o,t){let e=[],{extractConvParams:r,extractSeparableConvParams:a,extractReductionBlockParams:s,extractMainBlockParams:i}=Ho(o,e),c=r("entry_flow/conv_in"),m=s("entry_flow/reduction_block_0"),p=s("entry_flow/reduction_block_1"),u={conv_in:c,reduction_block_0:m,reduction_block_1:p},f={};U(t,0,1).forEach(_=>{f[`main_block_${_}`]=i(`middle_flow/main_block_${_}`)});let l=s("exit_flow/reduction_block"),d=a("exit_flow/separable_conv"),g={reduction_block:l,separable_conv:d};return L(o,e),{params:{entry_flow:u,middle_flow:f,exit_flow:g},paramMappings:e}}function Rr(o,t,e){return n.add(n.conv2d(o,t.filters,e,"same"),t.bias)}function er(o,t,e=!0){let r=e?n.relu(o):o;return r=W(r,t.separable_conv0,[1,1]),r=W(n.relu(r),t.separable_conv1,[1,1]),r=n.maxPool(r,[3,3],[2,2],"same"),r=n.add(r,Rr(o,t.expansion_conv,[2,2])),r}function zo(o,t){let e=W(n.relu(o),t.separable_conv0,[1,1]);return e=W(n.relu(e),t.separable_conv1,[1,1]),e=W(n.relu(e),t.separable_conv2,[1,1]),e=n.add(e,o),e}var Ee=class extends I{constructor(e){super("TinyXception");this._numMainBlocks=e}forwardInput(e){let{params:r}=this;if(!r)throw new Error("TinyXception - load model before inference");return n.tidy(()=>{let a=n.cast(e.toBatchTensor(112,!0),"float32"),i=X(a,[122.782,117.001,104.298]).div(255),c=n.relu(Rr(i,r.entry_flow.conv_in,[2,2]));return c=er(c,r.entry_flow.reduction_block_0,!1),c=er(c,r.entry_flow.reduction_block_1),U(this._numMainBlocks,0,1).forEach(m=>{c=zo(c,r.middle_flow[`main_block_${m}`])}),c=er(c,r.exit_flow.reduction_block),c=n.relu(W(c,r.exit_flow.separable_conv,[1,1])),c})}async forward(e){return this.forwardInput(await M(e))}getDefaultModelName(){return"tiny_xception_model"}extractParamsFromWeightMap(e){return Br(e,this._numMainBlocks)}extractParams(e){return kr(e,this._numMainBlocks)}};function $r(o){let t=[],{extractWeights:e,getRemainingWeights:r}=A(o),a=ve(e,t),s=a(512,1,"fc/age"),i=a(512,2,"fc/gender");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{fc:{age:s,gender:i}}}}function Or(o){let t=[],e=B(o,t);function r(s){let i=e(`${s}/weights`,2),c=e(`${s}/bias`,1);return{weights:i,bias:c}}let a={fc:{age:r("fc/age"),gender:r("fc/gender")}};return L(o,t),{params:a,paramMappings:t}}var rr=(e=>(e.FEMALE="female",e.MALE="male",e))(rr||{});var Me=class extends I{constructor(e=new Ee(2)){super("AgeGenderNet");this._faceFeatureExtractor=e}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return n.tidy(()=>{let a=e instanceof rt?this.faceFeatureExtractor.forwardInput(e):e,s=n.avgPool(a,[7,7],[2,2],"valid").as2D(a.shape[0],-1),i=se(s,r.fc.age).as1D(),c=se(s,r.fc.gender);return{age:i,gender:c}})}forwardInput(e){return n.tidy(()=>{let{age:r,gender:a}=this.runNet(e);return{age:r,gender:n.softmax(a)}})}async forward(e){return this.forwardInput(await M(e))}async predictAgeAndGender(e){let r=await M(e),a=await this.forwardInput(r),s=n.unstack(a.age),i=n.unstack(a.gender),c=s.map((p,u)=>({ageTensor:p,genderTensor:i[u]})),m=await Promise.all(c.map(async({ageTensor:p,genderTensor:u})=>{let f=p.dataSync()[0],l=u.dataSync()[0],d=l>.5,g=d?"male":"female",_=d?l:1-l;return p.dispose(),u.dispose(),{age:f,gender:g,genderProbability:_}}));return a.age.dispose(),a.gender.dispose(),r.isBatchInput?m:m[0]}getDefaultModelName(){return"age_gender_model"}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:a}=this.extractClassifierParams(e);this._params=r,this._paramMappings=a}extractClassifierParams(e){return $r(e)}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:a}=Pe(e);return this.faceFeatureExtractor.loadFromWeightMap(r),Or(a)}extractParams(e){let a=e.slice(0,e.length-1539),s=e.slice(e.length-1539);return this.faceFeatureExtractor.extractWeights(a),this.extractClassifierParams(s)}};var Gt=class extends Vt{postProcess(t,e,r){let a=r.map(({width:i,height:c})=>{let m=e/Math.max(c,i);return{width:i*m,height:c*m}}),s=a.length;return n.tidy(()=>{let i=(f,l)=>n.stack([n.fill([68],f,"float32"),n.fill([68],l,"float32")],1).as2D(1,136).as1D(),c=(f,l)=>{let{width:d,height:g}=a[f];return l(d,g)?Math.abs(d-g)/2:0},m=f=>c(f,(l,d)=>lc(f,(l,d)=>di(m(l),p(l))))).div(n.stack(Array.from(Array(s),(f,l)=>i(a[l].width,a[l].height))))})}forwardInput(t){return n.tidy(()=>{let e=this.runNet(t);return this.postProcess(e,t.inputSize,t.inputDimensions.map(([r,a])=>({height:r,width:a})))})}async forward(t){return this.forwardInput(await M(t))}async detectLandmarks(t){let e=await M(t),r=n.tidy(()=>n.unstack(this.forwardInput(e))),a=await Promise.all(r.map(async(s,i)=>{let c=Array.from(s.dataSync()),m=c.filter((u,f)=>pe(f)),p=c.filter((u,f)=>!pe(f));return new Lt(Array(68).fill(0).map((u,f)=>new b(m[f],p[f])),{height:e.getInputHeight(i),width:e.getInputWidth(i)})}));return r.forEach(s=>s.dispose()),e.isBatchInput?a:a[0]}getClassifierChannelsOut(){return 136}};var jt=class extends Gt{constructor(t=new zt){super("FaceLandmark68Net",t)}getDefaultModelName(){return"face_landmark_68_model"}getClassifierChannelsIn(){return 256}};function Hr(o){let t=[],{extractDenseBlock3Params:e}=Te(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2")};return L(o,t),{params:r,paramMappings:t}}function zr(o){let t=[],{extractWeights:e,getRemainingWeights:r}=A(o),{extractDenseBlock3Params:a}=ye(e,t),s=a(3,32,"dense0",!0),i=a(32,64,"dense1"),c=a(64,128,"dense2");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:s,dense1:i,dense2:c}}}var Ce=class extends I{constructor(){super("TinyFaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("TinyFaceFeatureExtractor - load model before inference");return n.tidy(()=>{let r=n.cast(t.toBatchTensor(112,!0),"float32"),s=X(r,[122.782,117.001,104.298]).div(255),i=xe(s,e.dense0,!0);return i=xe(i,e.dense1),i=xe(i,e.dense2),i=n.avgPool(i,[14,14],[2,2],"valid"),i})}async forward(t){return this.forwardInput(await M(t))}getDefaultModelName(){return"face_feature_extractor_tiny_model"}extractParamsFromWeightMap(t){return Hr(t)}extractParams(t){return zr(t)}};var Ie=class extends Gt{constructor(t=new Ce){super("FaceLandmark68TinyNet",t)}getDefaultModelName(){return"face_landmark_68_tiny_model"}getClassifierChannelsIn(){return 128}};var Vr=class extends jt{};function Yr(o,t){return n.add(n.mul(o,t.weights),t.biases)}function or(o,t,e,r,a="same"){let{filters:s,bias:i}=t.conv,c=n.conv2d(o,s,e,a);return c=n.add(c,i),c=Yr(c,t.scale),r?n.relu(c):c}function Gr(o,t){return or(o,t,[1,1],!0)}function nr(o,t){return or(o,t,[1,1],!1)}function Ne(o,t){return or(o,t,[2,2],!0,"valid")}function Vo(o,t){function e(c,m,p){let u=o(c),f=u.length/(m*p*p);if(Ge(f))throw new Error(`depth has to be an integer: ${f}, weights.length: ${u.length}, numFilters: ${m}, filterSize: ${p}`);return n.tidy(()=>n.transpose(n.tensor4d(u,[m,f,p,p]),[2,3,1,0]))}function r(c,m,p,u){let f=e(c,m,p),l=n.tensor1d(o(m));return t.push({paramPath:`${u}/filters`},{paramPath:`${u}/bias`}),{filters:f,bias:l}}function a(c,m){let p=n.tensor1d(o(c)),u=n.tensor1d(o(c));return t.push({paramPath:`${m}/weights`},{paramPath:`${m}/biases`}),{weights:p,biases:u}}function s(c,m,p,u){let f=r(c,m,p,`${u}/conv`),l=a(m,`${u}/scale`);return{conv:f,scale:l}}function i(c,m,p,u,f=!1){let l=s((f?.5:1)*c,m,p,`${u}/conv1`),d=s(c,m,p,`${u}/conv2`);return{conv1:l,conv2:d}}return{extractConvLayerParams:s,extractResidualLayerParams:i}}function jr(o){let{extractWeights:t,getRemainingWeights:e}=A(o),r=[],{extractConvLayerParams:a,extractResidualLayerParams:s}=Vo(t,r),i=a(4704,32,7,"conv32_down"),c=s(9216,32,3,"conv32_1"),m=s(9216,32,3,"conv32_2"),p=s(9216,32,3,"conv32_3"),u=s(36864,64,3,"conv64_down",!0),f=s(36864,64,3,"conv64_1"),l=s(36864,64,3,"conv64_2"),d=s(36864,64,3,"conv64_3"),g=s(147456,128,3,"conv128_down",!0),_=s(147456,128,3,"conv128_1"),F=s(147456,128,3,"conv128_2"),h=s(589824,256,3,"conv256_down",!0),y=s(589824,256,3,"conv256_1"),x=s(589824,256,3,"conv256_2"),D=s(589824,256,3,"conv256_down_out"),N=n.tidy(()=>n.transpose(n.tensor2d(t(256*128),[128,256]),[1,0]));if(r.push({paramPath:"fc"}),e().length!==0)throw new Error(`weights remaing after extract: ${e().length}`);return{params:{conv32_down:i,conv32_1:c,conv32_2:m,conv32_3:p,conv64_down:u,conv64_1:f,conv64_2:l,conv64_3:d,conv128_down:g,conv128_1:_,conv128_2:F,conv256_down:h,conv256_1:y,conv256_2:x,conv256_down_out:D,fc:N},paramMappings:r}}function Yo(o,t){let e=B(o,t);function r(i){let c=e(`${i}/scale/weights`,1),m=e(`${i}/scale/biases`,1);return{weights:c,biases:m}}function a(i){let c=e(`${i}/conv/filters`,4),m=e(`${i}/conv/bias`,1),p=r(i);return{conv:{filters:c,bias:m},scale:p}}function s(i){return{conv1:a(`${i}/conv1`),conv2:a(`${i}/conv2`)}}return{extractConvLayerParams:a,extractResidualLayerParams:s}}function Ur(o){let t=[],{extractConvLayerParams:e,extractResidualLayerParams:r}=Yo(o,t),a=e("conv32_down"),s=r("conv32_1"),i=r("conv32_2"),c=r("conv32_3"),m=r("conv64_down"),p=r("conv64_1"),u=r("conv64_2"),f=r("conv64_3"),l=r("conv128_down"),d=r("conv128_1"),g=r("conv128_2"),_=r("conv256_down"),F=r("conv256_1"),h=r("conv256_2"),y=r("conv256_down_out"),{fc:x}=o;if(t.push({originalPath:"fc",paramPath:"fc"}),!Ye(x))throw new Error(`expected weightMap[fc] to be a Tensor2D, instead have ${x}`);let D={conv32_down:a,conv32_1:s,conv32_2:i,conv32_3:c,conv64_down:m,conv64_1:p,conv64_2:u,conv64_3:f,conv128_down:l,conv128_1:d,conv128_2:g,conv256_down:_,conv256_1:F,conv256_2:h,conv256_down_out:y,fc:x};return L(o,t),{params:D,paramMappings:t}}function j(o,t){let e=Gr(o,t.conv1);return e=nr(e,t.conv2),e=n.add(e,o),e=n.relu(e),e}function ce(o,t){let e=Ne(o,t.conv1);e=nr(e,t.conv2);let r=n.avgPool(o,2,2,"valid"),a=n.zeros(r.shape),s=r.shape[3]!==e.shape[3];if(r.shape[1]!==e.shape[1]||r.shape[2]!==e.shape[2]){let c=[...e.shape];c[1]=1;let m=n.zeros(c);e=n.concat([e,m],1);let p=[...e.shape];p[2]=1;let u=n.zeros(p);e=n.concat([e,u],2)}return r=s?n.concat([r,a],3):r,e=n.add(r,e),e=n.relu(e),e}var Ut=class extends I{constructor(){super("FaceRecognitionNet")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceRecognitionNet - load model before inference");return n.tidy(()=>{let r=n.cast(t.toBatchTensor(150,!0),"float32"),s=X(r,[122.782,117.001,104.298]).div(255),i=Ne(s,e.conv32_down);i=n.maxPool(i,3,2,"valid"),i=j(i,e.conv32_1),i=j(i,e.conv32_2),i=j(i,e.conv32_3),i=ce(i,e.conv64_down),i=j(i,e.conv64_1),i=j(i,e.conv64_2),i=j(i,e.conv64_3),i=ce(i,e.conv128_down),i=j(i,e.conv128_1),i=j(i,e.conv128_2),i=ce(i,e.conv256_down),i=j(i,e.conv256_1),i=j(i,e.conv256_2),i=ce(i,e.conv256_down_out);let c=i.mean([1,2]);return n.matMul(c,e.fc)})}async forward(t){return this.forwardInput(await M(t))}async computeFaceDescriptor(t){var s;if((s=t==null?void 0:t.shape)!=null&&s.some(i=>i<=0))return new Float32Array(128);let e=await M(t),r=n.tidy(()=>n.unstack(this.forwardInput(e))),a=await Promise.all(r.map(i=>i.data()));return r.forEach(i=>i.dispose()),e.isBatchInput?a:a[0]}getDefaultModelName(){return"face_recognition_model"}extractParamsFromWeightMap(t){return Ur(t)}extractParams(t){return jr(t)}};function vf(o){let t=new Ut;return t.extractWeights(o),t}function ar(o,t){return{...o,...{descriptor:t}}}function Pf(o){return typeof o.age=="number"}function sr(o,t){return{...o,...{age:t}}}function Ef(o){return(o.gender==="male"||o.gender==="female")&&It(o.genderProbability)}function ir(o,t,e){return{...o,...{gender:t,genderProbability:e}}}function Go(o,t){function e(m,p){let u=n.tensor4d(o(9*m),[3,3,m,1]),f=n.tensor1d(o(m)),l=n.tensor1d(o(m)),d=n.tensor1d(o(m)),g=n.tensor1d(o(m));return t.push({paramPath:`${p}/filters`},{paramPath:`${p}/batch_norm_scale`},{paramPath:`${p}/batch_norm_offset`},{paramPath:`${p}/batch_norm_mean`},{paramPath:`${p}/batch_norm_variance`}),{filters:u,batch_norm_scale:f,batch_norm_offset:l,batch_norm_mean:d,batch_norm_variance:g}}function r(m,p,u,f,l){let d=n.tensor4d(o(m*p*u*u),[u,u,m,p]),g=n.tensor1d(o(p));return t.push({paramPath:`${f}/filters`},{paramPath:`${f}/${l?"batch_norm_offset":"bias"}`}),{filters:d,bias:g}}function a(m,p,u,f){let{filters:l,bias:d}=r(m,p,u,f,!0);return{filters:l,batch_norm_offset:d}}function s(m,p,u){let f=e(m,`${u}/depthwise_conv`),l=a(m,p,1,`${u}/pointwise_conv`);return{depthwise_conv:f,pointwise_conv:l}}function i(){let m=a(3,32,3,"mobilenetv1/conv_0"),p=s(32,64,"mobilenetv1/conv_1"),u=s(64,128,"mobilenetv1/conv_2"),f=s(128,128,"mobilenetv1/conv_3"),l=s(128,256,"mobilenetv1/conv_4"),d=s(256,256,"mobilenetv1/conv_5"),g=s(256,512,"mobilenetv1/conv_6"),_=s(512,512,"mobilenetv1/conv_7"),F=s(512,512,"mobilenetv1/conv_8"),h=s(512,512,"mobilenetv1/conv_9"),y=s(512,512,"mobilenetv1/conv_10"),x=s(512,512,"mobilenetv1/conv_11"),D=s(512,1024,"mobilenetv1/conv_12"),N=s(1024,1024,"mobilenetv1/conv_13");return{conv_0:m,conv_1:p,conv_2:u,conv_3:f,conv_4:l,conv_5:d,conv_6:g,conv_7:_,conv_8:F,conv_9:h,conv_10:y,conv_11:x,conv_12:D,conv_13:N}}function c(){let m=a(1024,256,1,"prediction_layer/conv_0"),p=a(256,512,3,"prediction_layer/conv_1"),u=a(512,128,1,"prediction_layer/conv_2"),f=a(128,256,3,"prediction_layer/conv_3"),l=a(256,128,1,"prediction_layer/conv_4"),d=a(128,256,3,"prediction_layer/conv_5"),g=a(256,64,1,"prediction_layer/conv_6"),_=a(64,128,3,"prediction_layer/conv_7"),F=r(512,12,1,"prediction_layer/box_predictor_0/box_encoding_predictor"),h=r(512,9,1,"prediction_layer/box_predictor_0/class_predictor"),y=r(1024,24,1,"prediction_layer/box_predictor_1/box_encoding_predictor"),x=r(1024,18,1,"prediction_layer/box_predictor_1/class_predictor"),D=r(512,24,1,"prediction_layer/box_predictor_2/box_encoding_predictor"),N=r(512,18,1,"prediction_layer/box_predictor_2/class_predictor"),Y=r(256,24,1,"prediction_layer/box_predictor_3/box_encoding_predictor"),q=r(256,18,1,"prediction_layer/box_predictor_3/class_predictor"),O=r(256,24,1,"prediction_layer/box_predictor_4/box_encoding_predictor"),at=r(256,18,1,"prediction_layer/box_predictor_4/class_predictor"),st=r(128,24,1,"prediction_layer/box_predictor_5/box_encoding_predictor"),it=r(128,18,1,"prediction_layer/box_predictor_5/class_predictor");return{conv_0:m,conv_1:p,conv_2:u,conv_3:f,conv_4:l,conv_5:d,conv_6:g,conv_7:_,box_predictor_0:{box_encoding_predictor:F,class_predictor:h},box_predictor_1:{box_encoding_predictor:y,class_predictor:x},box_predictor_2:{box_encoding_predictor:D,class_predictor:N},box_predictor_3:{box_encoding_predictor:Y,class_predictor:q},box_predictor_4:{box_encoding_predictor:O,class_predictor:at},box_predictor_5:{box_encoding_predictor:st,class_predictor:it}}}return{extractMobilenetV1Params:i,extractPredictionLayerParams:c}}function Xr(o){let t=[],{extractWeights:e,getRemainingWeights:r}=A(o),{extractMobilenetV1Params:a,extractPredictionLayerParams:s}=Go(e,t),i=a(),c=s(),p={extra_dim:n.tensor3d(e(5118*4),[1,5118,4])};if(t.push({paramPath:"output_layer/extra_dim"}),r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{params:{mobilenetv1:i,prediction_layer:c,output_layer:p},paramMappings:t}}function jo(o,t){let e=B(o,t);function r(p,u,f){let l=e(`${p}/Conv2d_${u}_pointwise/weights`,4,`${f}/filters`),d=e(`${p}/Conv2d_${u}_pointwise/convolution_bn_offset`,1,`${f}/batch_norm_offset`);return{filters:l,batch_norm_offset:d}}function a(p){let u=`mobilenetv1/conv_${p}`,f=`MobilenetV1/Conv2d_${p}_depthwise`,l=`${u}/depthwise_conv`,d=`${u}/pointwise_conv`,g=e(`${f}/depthwise_weights`,4,`${l}/filters`),_=e(`${f}/BatchNorm/gamma`,1,`${l}/batch_norm_scale`),F=e(`${f}/BatchNorm/beta`,1,`${l}/batch_norm_offset`),h=e(`${f}/BatchNorm/moving_mean`,1,`${l}/batch_norm_mean`),y=e(`${f}/BatchNorm/moving_variance`,1,`${l}/batch_norm_variance`);return{depthwise_conv:{filters:g,batch_norm_scale:_,batch_norm_offset:F,batch_norm_mean:h,batch_norm_variance:y},pointwise_conv:r("MobilenetV1",p,d)}}function s(){return{conv_0:r("MobilenetV1",0,"mobilenetv1/conv_0"),conv_1:a(1),conv_2:a(2),conv_3:a(3),conv_4:a(4),conv_5:a(5),conv_6:a(6),conv_7:a(7),conv_8:a(8),conv_9:a(9),conv_10:a(10),conv_11:a(11),conv_12:a(12),conv_13:a(13)}}function i(p,u){let f=e(`${p}/weights`,4,`${u}/filters`),l=e(`${p}/biases`,1,`${u}/bias`);return{filters:f,bias:l}}function c(p){let u=i(`Prediction/BoxPredictor_${p}/BoxEncodingPredictor`,`prediction_layer/box_predictor_${p}/box_encoding_predictor`),f=i(`Prediction/BoxPredictor_${p}/ClassPredictor`,`prediction_layer/box_predictor_${p}/class_predictor`);return{box_encoding_predictor:u,class_predictor:f}}function m(){return{conv_0:r("Prediction",0,"prediction_layer/conv_0"),conv_1:r("Prediction",1,"prediction_layer/conv_1"),conv_2:r("Prediction",2,"prediction_layer/conv_2"),conv_3:r("Prediction",3,"prediction_layer/conv_3"),conv_4:r("Prediction",4,"prediction_layer/conv_4"),conv_5:r("Prediction",5,"prediction_layer/conv_5"),conv_6:r("Prediction",6,"prediction_layer/conv_6"),conv_7:r("Prediction",7,"prediction_layer/conv_7"),box_predictor_0:c(0),box_predictor_1:c(1),box_predictor_2:c(2),box_predictor_3:c(3),box_predictor_4:c(4),box_predictor_5:c(5)}}return{extractMobilenetV1Params:s,extractPredictionLayerParams:m}}function Jr(o){let t=[],{extractMobilenetV1Params:e,extractPredictionLayerParams:r}=jo(o,t),a=o["Output/extra_dim"];if(t.push({originalPath:"Output/extra_dim",paramPath:"output_layer/extra_dim"}),!K(a))throw new Error(`expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have ${a}`);let s={mobilenetv1:e(),prediction_layer:r(),output_layer:{extra_dim:a}};return L(o,t),{params:s,paramMappings:t}}function H(o,t,e){return n.tidy(()=>{let r=n.conv2d(o,t.filters,e,"same");return r=n.add(r,t.batch_norm_offset),n.clipByValue(r,0,6)})}var Uo=.0010000000474974513;function Xo(o,t,e){return n.tidy(()=>{let r=n.depthwiseConv2d(o,t.filters,e,"same");return r=n.batchNorm(r,t.batch_norm_mean,t.batch_norm_variance,t.batch_norm_offset,t.batch_norm_scale,Uo),n.clipByValue(r,0,6)})}function Jo(o){return[2,4,6,12].some(t=>t===o)?[2,2]:[1,1]}function qr(o,t){return n.tidy(()=>{let e,r=H(o,t.conv_0,[2,2]);if([t.conv_1,t.conv_2,t.conv_3,t.conv_4,t.conv_5,t.conv_6,t.conv_7,t.conv_8,t.conv_9,t.conv_10,t.conv_11,t.conv_12,t.conv_13].forEach((s,i)=>{let c=i+1,m=Jo(c);r=Xo(r,s.depthwise_conv,m),r=H(r,s.pointwise_conv,[1,1]),c===11&&(e=r)}),e===null)throw new Error("mobileNetV1 - output of conv layer 11 is null");return{out:r,conv11:e}})}function qo(o,t,e){let r=o.arraySync(),a=Math.min(r[t][0],r[t][2]),s=Math.min(r[t][1],r[t][3]),i=Math.max(r[t][0],r[t][2]),c=Math.max(r[t][1],r[t][3]),m=Math.min(r[e][0],r[e][2]),p=Math.min(r[e][1],r[e][3]),u=Math.max(r[e][0],r[e][2]),f=Math.max(r[e][1],r[e][3]),l=(i-a)*(c-s),d=(u-m)*(f-p);if(l<=0||d<=0)return 0;let g=Math.max(a,m),_=Math.max(s,p),F=Math.min(i,u),h=Math.min(c,f),y=Math.max(F-g,0)*Math.max(h-_,0);return y/(l+d-y)}function Zr(o,t,e,r,a){let s=o.shape[0],i=Math.min(e,s),c=t.map((u,f)=>({score:u,boxIndex:f})).filter(u=>u.score>a).sort((u,f)=>f.score-u.score),m=u=>u<=r?1:0,p=[];return c.forEach(u=>{if(p.length>=i)return;let f=u.score;for(let l=p.length-1;l>=0;--l){let d=qo(o,u.boxIndex,p[l]);if(d!==0&&(u.score*=m(d),u.score<=a))break}f===u.score&&p.push(u.boxIndex)}),p}function Zo(o){let t=n.unstack(n.transpose(o,[1,0])),e=[n.sub(t[2],t[0]),n.sub(t[3],t[1])],r=[n.add(t[0],n.div(e[0],2)),n.add(t[1],n.div(e[1],2))];return{sizes:e,centers:r}}function Ko(o,t){let{sizes:e,centers:r}=Zo(o),a=n.unstack(n.transpose(t,[1,0])),s=n.div(n.mul(n.exp(n.div(a[2],5)),e[0]),2),i=n.add(n.mul(n.div(a[0],10),e[0]),r[0]),c=n.div(n.mul(n.exp(n.div(a[3],5)),e[1]),2),m=n.add(n.mul(n.div(a[1],10),e[1]),r[1]);return n.transpose(n.stack([n.sub(i,s),n.sub(m,c),n.add(i,s),n.add(m,c)]),[1,0])}function Kr(o,t,e){return n.tidy(()=>{let r=o.shape[0],a=Ko(n.reshape(n.tile(e.extra_dim,[r,1,1]),[-1,4]),n.reshape(o,[-1,4]));a=n.reshape(a,[r,a.shape[0]/r,4]);let s=n.sigmoid(n.slice(t,[0,0,1],[-1,-1,-1])),i=n.slice(s,[0,0,0],[-1,-1,1]);i=n.reshape(i,[r,i.shape[1]]);let c=n.unstack(a),m=n.unstack(i);return{boxes:c,scores:m}})}function Tt(o,t){return n.tidy(()=>{let e=o.shape[0],r=n.reshape(_t(o,t.box_encoding_predictor),[e,-1,1,4]),a=n.reshape(_t(o,t.class_predictor),[e,-1,3]);return{boxPredictionEncoding:r,classPrediction:a}})}function Qr(o,t,e){return n.tidy(()=>{let r=H(o,e.conv_0,[1,1]),a=H(r,e.conv_1,[2,2]),s=H(a,e.conv_2,[1,1]),i=H(s,e.conv_3,[2,2]),c=H(i,e.conv_4,[1,1]),m=H(c,e.conv_5,[2,2]),p=H(m,e.conv_6,[1,1]),u=H(p,e.conv_7,[2,2]),f=Tt(t,e.box_predictor_0),l=Tt(o,e.box_predictor_1),d=Tt(a,e.box_predictor_2),g=Tt(i,e.box_predictor_3),_=Tt(m,e.box_predictor_4),F=Tt(u,e.box_predictor_5),h=n.concat([f.boxPredictionEncoding,l.boxPredictionEncoding,d.boxPredictionEncoding,g.boxPredictionEncoding,_.boxPredictionEncoding,F.boxPredictionEncoding],1),y=n.concat([f.classPrediction,l.classPrediction,d.classPrediction,g.classPrediction,_.classPrediction,F.classPrediction],1);return{boxPredictions:h,classPredictions:y}})}var z=class{constructor({minConfidence:t,maxResults:e}={}){this._name="SsdMobilenetv1Options";if(this._minConfidence=t||.5,this._maxResults=e||100,typeof this._minConfidence!="number"||this._minConfidence<=0||this._minConfidence>=1)throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);if(typeof this._maxResults!="number")throw new Error(`${this._name} - expected maxResults to be a number`)}get minConfidence(){return this._minConfidence}get maxResults(){return this._maxResults}};var Pt=class extends I{constructor(){super("SsdMobilenetv1")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("SsdMobilenetv1 - load model before inference");return n.tidy(()=>{let r=n.cast(t.toBatchTensor(512,!1),"float32"),a=n.sub(n.div(r,127.5),1),s=qr(a,e.mobilenetv1),{boxPredictions:i,classPredictions:c}=Qr(s.out,s.conv11,e.prediction_layer);return Kr(i,c,e.output_layer)})}async forward(t){return this.forwardInput(await M(t))}async locateFaces(t,e={}){let{maxResults:r,minConfidence:a}=new z(e),s=await M(t),{boxes:i,scores:c}=this.forwardInput(s),m=i[0],p=c[0];for(let x=1;x{let[D,N]=[Math.max(0,h[x][0]),Math.min(1,h[x][2])].map(O=>O*F),[Y,q]=[Math.max(0,h[x][1]),Math.min(1,h[x][3])].map(O=>O*_);return new E(u[x],new St(Y,D,q-Y,N-D),{height:s.getInputHeight(0),width:s.getInputWidth(0)})});return m.dispose(),p.dispose(),y}getDefaultModelName(){return"ssd_mobilenetv1_model"}extractParamsFromWeightMap(t){return Jr(t)}extractParams(t){return Xr(t)}};function Qo(o){let t=new Pt;return t.extractWeights(o),t}function vl(o){return Qo(o)}var to=class extends Pt{};var eo=.4,ro=[new b(.738768,.874946),new b(2.42204,2.65704),new b(4.30971,7.04493),new b(10.246,4.59428),new b(12.6868,11.8741)],oo=[new b(1.603231,2.094468),new b(6.041143,7.080126),new b(2.882459,3.518061),new b(4.266906,5.178857),new b(9.041765,10.66308)],no=[117.001,114.697,97.404],ao="tiny_yolov2_model",so="tiny_yolov2_separable_conv_model";var Se=o=>typeof o=="number";function io(o){if(!o)throw new Error(`invalid config: ${o}`);if(typeof o.withSeparableConvs!="boolean")throw new Error(`config.withSeparableConvs has to be a boolean, have: ${o.withSeparableConvs}`);if(!Se(o.iouThreshold)||o.iouThreshold<0||o.iouThreshold>1)throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${o.iouThreshold}`);if(!Array.isArray(o.classes)||!o.classes.length||!o.classes.every(t=>typeof t=="string"))throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(o.classes)}`);if(!Array.isArray(o.anchors)||!o.anchors.length||!o.anchors.map(t=>t||{}).every(t=>Se(t.x)&&Se(t.y)))throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(o.anchors)}`);if(o.meanRgb&&(!Array.isArray(o.meanRgb)||o.meanRgb.length!==3||!o.meanRgb.every(Se)))throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(o.meanRgb)}`)}function Xt(o){return n.tidy(()=>{let t=n.mul(o,n.scalar(.10000000149011612));return n.add(n.relu(n.sub(o,t)),t)})}function ot(o,t){return n.tidy(()=>{let e=n.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=n.conv2d(e,t.conv.filters,[1,1],"valid"),e=n.sub(e,t.bn.sub),e=n.mul(e,t.bn.truediv),e=n.add(e,t.conv.bias),Xt(e)})}function nt(o,t){return n.tidy(()=>{let e=n.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=n.separableConv2d(e,t.depthwise_filter,t.pointwise_filter,[1,1],"valid"),e=n.add(e,t.bias),Xt(e)})}function tn(o,t){let e=$t(o,t);function r(i,c){let m=n.tensor1d(o(i)),p=n.tensor1d(o(i));return t.push({paramPath:`${c}/sub`},{paramPath:`${c}/truediv`}),{sub:m,truediv:p}}function a(i,c,m){let p=e(i,c,3,`${m}/conv`),u=r(c,`${m}/bn`);return{conv:p,bn:u}}let s=Ot(o,t);return{extractConvParams:e,extractConvWithBatchNormParams:a,extractSeparableConvParams:s}}function co(o,t,e,r){let{extractWeights:a,getRemainingWeights:s}=A(o),i=[],{extractConvParams:c,extractConvWithBatchNormParams:m,extractSeparableConvParams:p}=tn(a,i),u;if(t.withSeparableConvs){let[f,l,d,g,_,F,h,y,x]=r,D=t.isFirstLayerConv2d?c(f,l,3,"conv0"):p(f,l,"conv0"),N=p(l,d,"conv1"),Y=p(d,g,"conv2"),q=p(g,_,"conv3"),O=p(_,F,"conv4"),at=p(F,h,"conv5"),st=y?p(h,y,"conv6"):void 0,it=x?p(y,x,"conv7"):void 0,gt=c(x||y||h,5*e,1,"conv8");u={conv0:D,conv1:N,conv2:Y,conv3:q,conv4:O,conv5:at,conv6:st,conv7:it,conv8:gt}}else{let[f,l,d,g,_,F,h,y,x]=r,D=m(f,l,"conv0"),N=m(l,d,"conv1"),Y=m(d,g,"conv2"),q=m(g,_,"conv3"),O=m(_,F,"conv4"),at=m(F,h,"conv5"),st=m(h,y,"conv6"),it=m(y,x,"conv7"),gt=c(x,5*e,1,"conv8");u={conv0:D,conv1:N,conv2:Y,conv3:q,conv4:O,conv5:at,conv6:st,conv7:it,conv8:gt}}if(s().length!==0)throw new Error(`weights remaing after extract: ${s().length}`);return{params:u,paramMappings:i}}function en(o,t){let e=B(o,t);function r(c){let m=e(`${c}/sub`,1),p=e(`${c}/truediv`,1);return{sub:m,truediv:p}}function a(c){let m=e(`${c}/filters`,4),p=e(`${c}/bias`,1);return{filters:m,bias:p}}function s(c){let m=a(`${c}/conv`),p=r(`${c}/bn`);return{conv:m,bn:p}}let i=Ht(e);return{extractConvParams:a,extractConvWithBatchNormParams:s,extractSeparableConvParams:i}}function mo(o,t){let e=[],{extractConvParams:r,extractConvWithBatchNormParams:a,extractSeparableConvParams:s}=en(o,e),i;if(t.withSeparableConvs){let c=t.filterSizes&&t.filterSizes.length||9;i={conv0:t.isFirstLayerConv2d?r("conv0"):s("conv0"),conv1:s("conv1"),conv2:s("conv2"),conv3:s("conv3"),conv4:s("conv4"),conv5:s("conv5"),conv6:c>7?s("conv6"):void 0,conv7:c>8?s("conv7"):void 0,conv8:r("conv8")}}else i={conv0:a("conv0"),conv1:a("conv1"),conv2:a("conv2"),conv3:a("conv3"),conv4:a("conv4"),conv5:a("conv5"),conv6:a("conv6"),conv7:a("conv7"),conv8:r("conv8")};return L(o,e),{params:i,paramMappings:e}}var J=class{constructor({inputSize:t,scoreThreshold:e}={}){this._name="TinyYolov2Options";if(this._inputSize=t||416,this._scoreThreshold=e||.5,typeof this._inputSize!="number"||this._inputSize%32!==0)throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);if(typeof this._scoreThreshold!="number"||this._scoreThreshold<=0||this._scoreThreshold>=1)throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`)}get inputSize(){return this._inputSize}get scoreThreshold(){return this._scoreThreshold}};var cr=class extends I{constructor(e){super("TinyYolov2");io(e),this._config=e}get config(){return this._config}get withClassScores(){return this.config.withClassScores||this.config.classes.length>1}get boxEncodingSize(){return 5+(this.withClassScores?this.config.classes.length:0)}runTinyYolov2(e,r){let a=ot(e,r.conv0);return a=n.maxPool(a,[2,2],[2,2],"same"),a=ot(a,r.conv1),a=n.maxPool(a,[2,2],[2,2],"same"),a=ot(a,r.conv2),a=n.maxPool(a,[2,2],[2,2],"same"),a=ot(a,r.conv3),a=n.maxPool(a,[2,2],[2,2],"same"),a=ot(a,r.conv4),a=n.maxPool(a,[2,2],[2,2],"same"),a=ot(a,r.conv5),a=n.maxPool(a,[2,2],[1,1],"same"),a=ot(a,r.conv6),a=ot(a,r.conv7),_t(a,r.conv8,"valid",!1)}runMobilenet(e,r){let a=this.config.isFirstLayerConv2d?Xt(_t(e,r.conv0,"valid",!1)):nt(e,r.conv0);return a=n.maxPool(a,[2,2],[2,2],"same"),a=nt(a,r.conv1),a=n.maxPool(a,[2,2],[2,2],"same"),a=nt(a,r.conv2),a=n.maxPool(a,[2,2],[2,2],"same"),a=nt(a,r.conv3),a=n.maxPool(a,[2,2],[2,2],"same"),a=nt(a,r.conv4),a=n.maxPool(a,[2,2],[2,2],"same"),a=nt(a,r.conv5),a=n.maxPool(a,[2,2],[1,1],"same"),a=r.conv6?nt(a,r.conv6):a,a=r.conv7?nt(a,r.conv7):a,_t(a,r.conv8,"valid",!1)}forwardInput(e,r){let{params:a}=this;if(!a)throw new Error("TinyYolov2 - load model before inference");return n.tidy(()=>{let s=n.cast(e.toBatchTensor(r,!1),"float32");return s=this.config.meanRgb?X(s,this.config.meanRgb):s,s=s.div(255),this.config.withSeparableConvs?this.runMobilenet(s,a):this.runTinyYolov2(s,a)})}async forward(e,r){return this.forwardInput(await M(e),r)}async detect(e,r={}){let{inputSize:a,scoreThreshold:s}=new J(r),i=await M(e),c=await this.forwardInput(i,a),m=n.tidy(()=>n.unstack(c)[0].expandDims()),p={width:i.getInputWidth(0),height:i.getInputHeight(0)},u=await this.extractBoxes(m,i.getReshapedInputDimensions(0),s);c.dispose(),m.dispose();let f=u.map(h=>h.box),l=u.map(h=>h.score),d=u.map(h=>h.classScore),g=u.map(h=>this.config.classes[h.label]);return gr(f.map(h=>h.rescale(a)),l,this.config.iouThreshold,!0).map(h=>new ct(l[h],d[h],g[h],f[h],p))}getDefaultModelName(){return""}extractParamsFromWeightMap(e){return mo(e,this.config)}extractParams(e){let r=this.config.filterSizes||cr.DEFAULT_FILTER_SIZES,a=r?r.length:void 0;if(a!==7&&a!==8&&a!==9)throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${a} filterSizes in config`);return co(e,this.config,this.boxEncodingSize,r)}async extractBoxes(e,r,a){let{width:s,height:i}=r,c=Math.max(s,i),m=c/s,p=c/i,u=e.shape[1],f=this.config.anchors.length,[l,d,g]=n.tidy(()=>{let y=e.reshape([u,u,f,this.boxEncodingSize]),x=y.slice([0,0,0,0],[u,u,f,4]),D=y.slice([0,0,0,4],[u,u,f,1]),N=this.withClassScores?n.softmax(y.slice([0,0,0,5],[u,u,f,this.config.classes.length]),3):n.scalar(0);return[x,D,N]}),_=[],F=await d.array(),h=await l.array();for(let y=0;ya){let Y=(x+fe(h[y][x][D][0]))/u*m,q=(y+fe(h[y][x][D][1]))/u*p,O=Math.exp(h[y][x][D][2])*this.config.anchors[D].x/u*m,at=Math.exp(h[y][x][D][3])*this.config.anchors[D].y/u*p,st=Y-O/2,it=q-at/2,gt={row:y,col:x,anchor:D},{classScore:pr,label:ur}=this.withClassScores?await this.extractPredictedClass(g,gt):{classScore:1,label:0};_.push({box:new Nt(st,it,st+O,it+at),score:N,classScore:N*pr,label:ur,...gt})}}return l.dispose(),d.dispose(),g.dispose(),_}async extractPredictedClass(e,r){let{row:a,col:s,anchor:i}=r,c=await e.array();return Array(this.config.classes.length).fill(0).map((m,p)=>c[a][s][i][p]).map((m,p)=>({classScore:m,label:p})).reduce((m,p)=>m.classScore>p.classScore?m:p)}},wt=cr;wt.DEFAULT_FILTER_SIZES=[3,16,32,64,128,256,512,1024,1024];var Jt=class extends wt{constructor(t=!0){let e={withSeparableConvs:t,iouThreshold:eo,classes:["face"],...t?{anchors:oo,meanRgb:no}:{anchors:ro,withClassScores:!0}};super(e)}get withSeparableConvs(){return this.config.withSeparableConvs}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(a=>new E(a.score,a.relativeBox,{width:a.imageWidth,height:a.imageHeight}))}getDefaultModelName(){return this.withSeparableConvs?so:ao}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};function pd(o,t=!0){let e=new Jt(t);return e.extractWeights(o),e}var Le=class extends J{constructor(){super(...arguments);this._name="TinyFaceDetectorOptions"}};var V=class{async then(t){return t(await this.run())}async run(){throw new Error("ComposableTask - run is not implemented")}};async function Ft(o,t,e,r,a=({alignedRect:s})=>s){let s=o.map(m=>Yt(m)?a(m):m.detection),i=r||(t instanceof n.Tensor?await oe(t,s):await re(t,s)),c=await e(i);return i.forEach(m=>m instanceof n.Tensor&&m.dispose()),c}async function qt(o,t,e,r,a){return Ft([o],t,async s=>e(s[0]),r,a)}var po=.4,uo=[new b(1.603231,2.094468),new b(6.041143,7.080126),new b(2.882459,3.518061),new b(4.266906,5.178857),new b(9.041765,10.66308)],fo=[117.001,114.697,97.404];var Zt=class extends wt{constructor(){let t={withSeparableConvs:!0,iouThreshold:po,classes:["face"],anchors:uo,meanRgb:fo,isFirstLayerConv2d:!0,filterSizes:[3,16,32,64,128,256,512]};super(t)}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(a=>new E(a.score,a.relativeBox,{width:a.imageWidth,height:a.imageHeight}))}getDefaultModelName(){return"tiny_face_detector_model"}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};var P={ssdMobilenetv1:new Pt,tinyFaceDetector:new Zt,tinyYolov2:new Jt,faceLandmark68Net:new jt,faceLandmark68TinyNet:new Ie,faceRecognitionNet:new Ut,faceExpressionNet:new we,ageGenderNet:new Me},rn=(o,t)=>P.ssdMobilenetv1.locateFaces(o,t),Od=(o,t)=>P.tinyFaceDetector.locateFaces(o,t),Hd=(o,t)=>P.tinyYolov2.locateFaces(o,t),on=o=>P.faceLandmark68Net.detectLandmarks(o),zd=o=>P.faceLandmark68TinyNet.detectLandmarks(o),Vd=o=>P.faceRecognitionNet.computeFaceDescriptor(o),Yd=o=>P.faceExpressionNet.predictExpressions(o),Gd=o=>P.ageGenderNet.predictAgeAndGender(o),nn=o=>P.ssdMobilenetv1.load(o),jd=o=>P.tinyFaceDetector.load(o),Ud=o=>P.tinyYolov2.load(o),Xd=o=>P.faceLandmark68Net.load(o),Jd=o=>P.faceLandmark68TinyNet.load(o),qd=o=>P.faceRecognitionNet.load(o),Zd=o=>P.faceExpressionNet.load(o),Kd=o=>P.ageGenderNet.load(o),Qd=nn,th=rn,eh=on;var Ae=class extends V{constructor(e,r,a){super();this.parentTask=e;this.input=r;this.extractedFaces=a}},Dt=class extends Ae{async run(){let t=await this.parentTask,e=await Ft(t,this.input,async r=>Promise.all(r.map(a=>P.faceExpressionNet.predictExpressions(a))),this.extractedFaces);return t.map((r,a)=>tr(r,e[a]))}withAgeAndGender(){return new Mt(this,this.input)}},Et=class extends Ae{async run(){let t=await this.parentTask;if(!t)return;let e=await qt(t,this.input,r=>P.faceExpressionNet.predictExpressions(r),this.extractedFaces);return tr(t,e)}withAgeAndGender(){return new Ct(this,this.input)}},ut=class extends Dt{withAgeAndGender(){return new lt(this,this.input)}withFaceDescriptors(){return new ht(this,this.input)}},ft=class extends Et{withAgeAndGender(){return new dt(this,this.input)}withFaceDescriptor(){return new bt(this,this.input)}};var We=class extends V{constructor(e,r,a){super();this.parentTask=e;this.input=r;this.extractedFaces=a}},Mt=class extends We{async run(){let t=await this.parentTask,e=await Ft(t,this.input,async r=>Promise.all(r.map(a=>P.ageGenderNet.predictAgeAndGender(a))),this.extractedFaces);return t.map((r,a)=>{let{age:s,gender:i,genderProbability:c}=e[a];return sr(ir(r,i,c),s)})}withFaceExpressions(){return new Dt(this,this.input)}},Ct=class extends We{async run(){let t=await this.parentTask;if(!t)return;let{age:e,gender:r,genderProbability:a}=await qt(t,this.input,s=>P.ageGenderNet.predictAgeAndGender(s),this.extractedFaces);return sr(ir(t,r,a),e)}withFaceExpressions(){return new Et(this,this.input)}},lt=class extends Mt{withFaceExpressions(){return new ut(this,this.input)}withFaceDescriptors(){return new ht(this,this.input)}},dt=class extends Ct{withFaceExpressions(){return new ft(this,this.input)}withFaceDescriptor(){return new bt(this,this.input)}};var ke=class extends V{constructor(e,r){super();this.parentTask=e;this.input=r}},ht=class extends ke{async run(){let t=await this.parentTask;return(await Ft(t,this.input,r=>Promise.all(r.map(a=>P.faceRecognitionNet.computeFaceDescriptor(a))),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}))).map((r,a)=>ar(t[a],r))}withFaceExpressions(){return new ut(this,this.input)}withAgeAndGender(){return new lt(this,this.input)}},bt=class extends ke{async run(){let t=await this.parentTask;if(!t)return;let e=await qt(t,this.input,r=>P.faceRecognitionNet.computeFaceDescriptor(r),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}));return ar(t,e)}withFaceExpressions(){return new ft(this,this.input)}withAgeAndGender(){return new dt(this,this.input)}};var Be=class extends V{constructor(e,r,a){super();this.parentTask=e;this.input=r;this.useTinyLandmarkNet=a}get landmarkNet(){return this.useTinyLandmarkNet?P.faceLandmark68TinyNet:P.faceLandmark68Net}},Re=class extends Be{async run(){let t=await this.parentTask,e=t.map(i=>i.detection),r=this.input instanceof n.Tensor?await oe(this.input,e):await re(this.input,e),a=await Promise.all(r.map(i=>this.landmarkNet.detectLandmarks(i)));return r.forEach(i=>i instanceof n.Tensor&&i.dispose()),t.filter((i,c)=>a[c]).map((i,c)=>ie(i,a[c]))}withFaceExpressions(){return new ut(this,this.input)}withAgeAndGender(){return new lt(this,this.input)}withFaceDescriptors(){return new ht(this,this.input)}},$e=class extends Be{async run(){let t=await this.parentTask;if(!t)return;let{detection:e}=t,r=this.input instanceof n.Tensor?await oe(this.input,[e]):await re(this.input,[e]),a=await this.landmarkNet.detectLandmarks(r[0]);return r.forEach(s=>s instanceof n.Tensor&&s.dispose()),ie(t,a)}withFaceExpressions(){return new ft(this,this.input)}withAgeAndGender(){return new dt(this,this.input)}withFaceDescriptor(){return new bt(this,this.input)}};var Oe=class extends V{constructor(e,r=new z){super();this.input=e;this.options=r}},me=class extends Oe{async run(){let{input:t,options:e}=this,r;if(e instanceof Le)r=P.tinyFaceDetector.locateFaces(t,e);else if(e instanceof z)r=P.ssdMobilenetv1.locateFaces(t,e);else if(e instanceof J)r=P.tinyYolov2.locateFaces(t,e);else throw new Error("detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | TinyYolov2Options");return r}runAndExtendWithFaceDetections(){return new Promise((t,e)=>{this.run().then(r=>t(r.map(a=>At({},a)))).catch(r=>e(r))})}withFaceLandmarks(t=!1){return new Re(this.runAndExtendWithFaceDetections(),this.input,t)}withFaceExpressions(){return new Dt(this.runAndExtendWithFaceDetections(),this.input)}withAgeAndGender(){return new Mt(this.runAndExtendWithFaceDetections(),this.input)}},He=class extends Oe{async run(){let t=await new me(this.input,this.options),e=t[0];return t.forEach(r=>{r.score>e.score&&(e=r)}),e}runAndExtendWithFaceDetection(){return new Promise(async t=>{let e=await this.run();t(e?At({},e):void 0)})}withFaceLandmarks(t=!1){return new $e(this.runAndExtendWithFaceDetection(),this.input,t)}withFaceExpressions(){return new Et(this.runAndExtendWithFaceDetection(),this.input)}withAgeAndGender(){return new Ct(this.runAndExtendWithFaceDetection(),this.input)}};function Kh(o,t=new z){return new He(o,t)}function mr(o,t=new z){return new me(o,t)}async function an(o,t){return mr(o,new z(t?{minConfidence:t}:{})).withFaceLandmarks().withFaceDescriptors()}async function nb(o,t={}){return mr(o,new J(t)).withFaceLandmarks().withFaceDescriptors()}var ab=an;function lo(o,t){if(o.length!==t.length)throw new Error("euclideanDistance: arr1.length !== arr2.length");let e=Array.from(o),r=Array.from(t);return Math.sqrt(e.map((a,s)=>a-r[s]).reduce((a,s)=>a+s*s,0))}var ze=class{constructor(t,e=.6){this._distanceThreshold=e;let r=Array.isArray(t)?t:[t];if(!r.length)throw new Error("FaceRecognizer.constructor - expected atleast one input");let a=1,s=()=>`person ${a++}`;this._labeledDescriptors=r.map(i=>{if(i instanceof Q)return i;if(i instanceof Float32Array)return new Q(s(),[i]);if(i.descriptor&&i.descriptor instanceof Float32Array)return new Q(s(),[i.descriptor]);throw new Error("FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>")})}get labeledDescriptors(){return this._labeledDescriptors}get distanceThreshold(){return this._distanceThreshold}computeMeanDistance(t,e){return e.map(r=>lo(r,t)).reduce((r,a)=>r+a,0)/(e.length||1)}matchDescriptor(t){return this.labeledDescriptors.map(({descriptors:e,label:r})=>new Kt(r,this.computeMeanDistance(t,e))).reduce((e,r)=>e.distancet.toJSON())}}static fromJSON(t){let e=t.labeledDescriptors.map(r=>Q.fromJSON(r));return new ze(e,t.distanceThreshold)}};function Pb(o){let t=new Zt;return t.extractWeights(o),t}function sn(o,t){let{width:e,height:r}=new S(t.width,t.height);if(e<=0||r<=0)throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({width:e,height:r})}`);if(Array.isArray(o))return o.map(a=>sn(a,{width:e,height:r}));if(Yt(o)){let a=o.detection.forSize(e,r),s=o.unshiftedLandmarks.forSize(a.box.width,a.box.height);return ie(At(o,a),s)}return tt(o)?At(o,o.detection.forSize(e,r)):o instanceof $||o instanceof E?o.forSize(e,r):o}var Ab=Wr;export{Me as AgeGenderNet,Nt as BoundingBox,w as Box,V as ComposableTask,ht as ComputeAllFaceDescriptorsTask,ke as ComputeFaceDescriptorsTaskBase,bt as ComputeSingleFaceDescriptorTask,Re as DetectAllFaceLandmarksTask,me as DetectAllFacesTask,Be as DetectFaceLandmarksTaskBase,Oe as DetectFacesTaskBase,$e as DetectSingleFaceLandmarksTask,He as DetectSingleFaceTask,S as Dimensions,Sr as FACE_EXPRESSION_LABELS,E as FaceDetection,to as FaceDetectionNet,we as FaceExpressionNet,pt as FaceExpressions,jt as FaceLandmark68Net,Ie as FaceLandmark68TinyNet,Vr as FaceLandmarkNet,$ as FaceLandmarks,vr as FaceLandmarks5,Lt as FaceLandmarks68,Kt as FaceMatch,ze as FaceMatcher,Ut as FaceRecognitionNet,rr as Gender,Qt as LabeledBox,Q as LabeledFaceDescriptors,rt as NetInput,I as NeuralNetwork,ct as ObjectDetection,b as Point,yr as PredictedBox,St as Rect,Pt as SsdMobilenetv1,z as SsdMobilenetv1Options,Zt as TinyFaceDetector,Le as TinyFaceDetectorOptions,Jt as TinyYolov2,J as TinyYolov2Options,ab as allFaces,an as allFacesSsdMobilenetv1,nb as allFacesTinyYolov2,_r as awaitMediaLoaded,Tr as bufferToImage,Vd as computeFaceDescriptor,Rt as createCanvas,be as createCanvasFromMedia,vl as createFaceDetectionNet,vf as createFaceRecognitionNet,Qo as createSsdMobilenetv1,Pb as createTinyFaceDetector,pd as createTinyYolov2,mr as detectAllFaces,on as detectFaceLandmarks,zd as detectFaceLandmarksTiny,eh as detectLandmarks,Kh as detectSingleFace,Ar as draw,T as env,lo as euclideanDistance,sr as extendWithAge,ar as extendWithFaceDescriptor,At as extendWithFaceDetection,tr as extendWithFaceExpressions,ie as extendWithFaceLandmarks,ir as extendWithGender,oe as extractFaceTensors,re as extractFaces,Mi as fetchImage,Fr as fetchJson,Li as fetchNetWeights,mt as fetchOrThrow,$i as fetchVideo,k as getContext2dOrThrow,Bt as getMediaDimensions,Pr as imageTensorToCanvas,wr as imageToSquare,Vn as inverseSigmoid,hr as iou,Qe as isMediaElement,he as isMediaLoaded,Pf as isWithAge,tt as isWithFaceDetection,Lr as isWithFaceExpressions,Yt as isWithFaceLandmarks,Ef as isWithGender,Kd as loadAgeGenderModel,Qd as loadFaceDetectionModel,Zd as loadFaceExpressionModel,Xd as loadFaceLandmarkModel,Jd as loadFaceLandmarkTinyModel,qd as loadFaceRecognitionModel,nn as loadSsdMobilenetv1Model,jd as loadTinyFaceDetectorModel,Ud as loadTinyYolov2Model,Er as loadWeightMap,th as locateFaces,ji as matchDimensions,br as minBbox,P as nets,gr as nonMaxSuppression,X as normalize,xr as padToSquare,Gd as predictAgeAndGender,Yd as recognizeFaceExpressions,sn as resizeResults,Wt as resolveInput,Hn as shuffleArray,fe as sigmoid,rn as ssdMobilenetv1,n as tf,Od as tinyFaceDetector,Hd as tinyYolov2,M as toNetInput,dr as utils,io as validateConfig,Ab as version}; +var lr=Object.defineProperty;var ho=Object.getOwnPropertyDescriptor;var bo=Object.getOwnPropertyNames;var go=Object.prototype.hasOwnProperty;var xo=(o=>typeof require!="undefined"?require:typeof Proxy!="undefined"?new Proxy(o,{get:(t,e)=>(typeof require!="undefined"?require:t)[e]}):o)(function(o){if(typeof require!="undefined")return require.apply(this,arguments);throw new Error('Dynamic require of "'+o+'" is not supported')});var Ve=(o,t)=>{for(var e in t)lr(o,e,{get:t[e],enumerable:!0})},fr=(o,t,e,r)=>{if(t&&typeof t=="object"||typeof t=="function")for(let a of bo(t))!go.call(o,a)&&a!==e&&lr(o,a,{get:()=>t[a],enumerable:!(r=ho(t,a))||r.enumerable});return o},v=(o,t,e)=>(fr(o,t,"default"),e&&fr(e,t,"default"));var n={};Ve(n,{version:()=>Eo});v(n,fn);v(n,ln);v(n,dn);import*as fn from"@tensorflow/tfjs/dist/index.js";import*as ln from"@tensorflow/tfjs-backend-webgl/dist/index.js";import*as dn from"@tensorflow/tfjs-backend-wasm/dist/index.js";var vo="4.0.0",yo="4.0.0",_o="4.0.0",To="4.0.0",Po="4.0.0",wo="4.0.0",Fo="4.0.0",Do="4.0.0",Eo={tfjs:vo,"tfjs-core":yo,"tfjs-data":_o,"tfjs-layers":To,"tfjs-converter":Po,"tfjs-backend-cpu":wo,"tfjs-backend-webgl":Fo,"tfjs-backend-wasm":Do};var Ar={};Ve(Ar,{AnchorPosition:()=>Ke,DrawBox:()=>ee,DrawBoxOptions:()=>de,DrawFaceLandmarks:()=>De,DrawFaceLandmarksOptions:()=>Fe,DrawTextField:()=>et,DrawTextFieldOptions:()=>kt,drawContour:()=>Z,drawDetections:()=>Ao,drawFaceExpressions:()=>Wo,drawFaceLandmarks:()=>Bo});function Z(o,t,e=!1){if(o.beginPath(),t.slice(1).forEach(({x:r,y:a},s)=>{let i=t[s];o.moveTo(i.x,i.y),o.lineTo(r,a)}),e){let r=t[t.length-1],a=t[0];if(!r||!a)return;o.moveTo(r.x,r.y),o.lineTo(a.x,a.y)}o.stroke()}var dr={};Ve(dr,{computeReshapedDimensions:()=>je,getCenterPoint:()=>yt,isDimensions:()=>ue,isEven:()=>pe,isFloat:()=>Ge,isTensor:()=>xt,isTensor1D:()=>Mo,isTensor2D:()=>Ye,isTensor3D:()=>K,isTensor4D:()=>R,isValidNumber:()=>G,isValidProbablitiy:()=>It,range:()=>U,round:()=>vt});var S=class{constructor(t,e){if(!G(t)||!G(e))throw new Error(`Dimensions.constructor - expected width and height to be valid numbers, instead have ${JSON.stringify({width:t,height:e})}`);this._width=t,this._height=e}get width(){return this._width}get height(){return this._height}reverse(){return new S(1/this.width,1/this.height)}};function xt(o,t){return o instanceof n.Tensor&&o.shape.length===t}function Mo(o){return xt(o,1)}function Ye(o){return xt(o,2)}function K(o){return xt(o,3)}function R(o){return xt(o,4)}function Ge(o){return o%1!==0}function pe(o){return o%2===0}function vt(o,t=2){let e=10**t;return Math.floor(o*e)/e}function ue(o){return o&&o.width&&o.height}function je({width:o,height:t},e){let r=e/Math.max(t,o);return new S(Math.round(o*r),Math.round(t*r))}function yt(o){return o.reduce((t,e)=>t.add(e),new b(0,0)).div(new b(o.length,o.length))}function U(o,t,e){return Array(o).fill(0).map((r,a)=>t+a*e)}function G(o){return!!o&&o!==1/0&&o!==-1/0&&!Number.isNaN(o)||o===0}function It(o){return G(o)&&o>=0&&o<=1}var b=class{constructor(t,e){this._x=t,this._y=e}get x(){return this._x}get y(){return this._y}add(t){return new b(this.x+t.x,this.y+t.y)}sub(t){return new b(this.x-t.x,this.y-t.y)}mul(t){return new b(this.x*t.x,this.y*t.y)}div(t){return new b(this.x/t.x,this.y/t.y)}abs(){return new b(Math.abs(this.x),Math.abs(this.y))}magnitude(){return Math.sqrt(this.x**2+this.y**2)}floor(){return new b(Math.floor(this.x),Math.floor(this.y))}};var w=class{static isRect(t){return!!t&&[t.x,t.y,t.width,t.height].every(G)}static assertIsValidBox(t,e,r=!1){if(!w.isRect(t))throw new Error(`${e} - invalid box: ${JSON.stringify(t)}, expected object with properties x, y, width, height`);if(!r&&(t.width<0||t.height<0))throw new Error(`${e} - width (${t.width}) and height (${t.height}) must be positive numbers`)}constructor(t,e=!0){let r=t||{},a=[r.left,r.top,r.right,r.bottom].every(G),s=[r.x,r.y,r.width,r.height].every(G);if(!s&&!a)throw new Error(`Box.constructor - expected box to be IBoundingBox | IRect, instead have ${JSON.stringify(r)}`);let[i,c,m,p]=s?[r.x,r.y,r.width,r.height]:[r.left,r.top,r.right-r.left,r.bottom-r.top];w.assertIsValidBox({x:i,y:c,width:m,height:p},"Box.constructor",e),this._x=i,this._y=c,this._width=m,this._height=p}get x(){return this._x}get y(){return this._y}get width(){return this._width}get height(){return this._height}get left(){return this.x}get top(){return this.y}get right(){return this.x+this.width}get bottom(){return this.y+this.height}get area(){return this.width*this.height}get topLeft(){return new b(this.left,this.top)}get topRight(){return new b(this.right,this.top)}get bottomLeft(){return new b(this.left,this.bottom)}get bottomRight(){return new b(this.right,this.bottom)}round(){let[t,e,r,a]=[this.x,this.y,this.width,this.height].map(s=>Math.round(s));return new w({x:t,y:e,width:r,height:a})}floor(){let[t,e,r,a]=[this.x,this.y,this.width,this.height].map(s=>Math.floor(s));return new w({x:t,y:e,width:r,height:a})}toSquare(){let{x:t,y:e,width:r,height:a}=this,s=Math.abs(r-a);return re&&(c=-f+e+r,f=e),l>t&&(m=-l+t+a,l=t),p<1&&(m=2-p,p=1),u<1&&(m=2-u,u=1),{dy:i,edy:m,dx:s,edx:c,y:u,ey:l,x:p,ex:f,w:r,h:a}}calibrate(t){return new w({left:this.left+t.left*this.width,top:this.top+t.top*this.height,right:this.right+t.right*this.width,bottom:this.bottom+t.bottom*this.height}).toSquare().round()}};var Nt=class extends w{constructor(t,e,r,a,s=!1){super({left:t,top:e,right:r,bottom:a},s)}};var ct=class{constructor(t,e,r,a,s){this._imageDims=new S(s.width,s.height),this._score=t,this._classScore=e,this._className=r,this._box=new w(a).rescale(this._imageDims)}get score(){return this._score}get classScore(){return this._classScore}get className(){return this._className}get box(){return this._box}get imageDims(){return this._imageDims}get imageWidth(){return this.imageDims.width}get imageHeight(){return this.imageDims.height}get relativeBox(){return new w(this._box).rescale(this.imageDims.reverse())}forSize(t,e){return new ct(this.score,this.classScore,this.className,this.relativeBox,{width:t,height:e})}};var E=class extends ct{constructor(t,e,r){super(t,t,"",e,r)}forSize(t,e){let{score:r,relativeBox:a,imageDims:s}=super.forSize(t,e);return new E(r,a,s)}};function hr(o,t,e=!0){let r=Math.max(0,Math.min(o.right,t.right)-Math.max(o.left,t.left)),a=Math.max(0,Math.min(o.bottom,t.bottom)-Math.max(o.top,t.top)),s=r*a;return e?s/(o.area+t.area-s):s/Math.min(o.area,t.area)}function br(o){let t=o.map(c=>c.x),e=o.map(c=>c.y),r=t.reduce((c,m)=>mmcc({score:i,boxIndex:c})).sort((i,c)=>i.score-c.score).map(i=>i.boxIndex),s=[];for(;a.length>0;){let i=a.pop();s.push(i);let c=a,m=[];for(let p=0;pm[u]<=e)}return s}function X(o,t){return n.tidy(()=>{let[e,r,a]=t,s=n.fill([...o.shape.slice(0,3),1],e,"float32"),i=n.fill([...o.shape.slice(0,3),1],r,"float32"),c=n.fill([...o.shape.slice(0,3),1],a,"float32"),m=n.concat([s,i,c],3);return n.sub(o,m)})}function xr(o,t=!1){return n.tidy(()=>{let[e,r]=o.shape.slice(1);if(e===r)return o;let a=Math.abs(e-r),s=Math.round(a*(t?.5:1)),i=e>r?2:1,c=l=>{let d=o.shape.slice();return d[i]=l,n.fill(d,0,"float32")},m=c(s),p=a-m.shape[i],f=[t&&p?c(p):null,o,m].filter(l=>!!l).map(l=>n.cast(l,"float32"));return n.concat(f,i)})}function Hn(o){let t=o.slice();for(let e=t.length-1;e>0;e--){let r=Math.floor(Math.random()*(e+1)),a=t[e];t[e]=t[r],t[r]=a}return t}function fe(o){return 1/(1+Math.exp(-o))}function Vn(o){return Math.log(o/(1-o))}var St=class extends w{constructor(t,e,r,a,s=!1){super({x:t,y:e,width:r,height:a},s)}};var Co=.5,Io=.43,No=.45,$=class{constructor(t,e,r=new b(0,0)){let{width:a,height:s}=e;this._imgDims=new S(a,s),this._shift=r,this._positions=t.map(i=>i.mul(new b(a,s)).add(r))}get shift(){return new b(this._shift.x,this._shift.y)}get imageWidth(){return this._imgDims.width}get imageHeight(){return this._imgDims.height}get positions(){return this._positions}get relativePositions(){return this._positions.map(t=>t.sub(this._shift).div(new b(this.imageWidth,this.imageHeight)))}forSize(t,e){return new this.constructor(this.relativePositions,{width:t,height:e})}shiftBy(t,e){return new this.constructor(this.relativePositions,this._imgDims,new b(t,e))}shiftByPoint(t){return this.shiftBy(t.x,t.y)}align(t,e={}){if(t){let s=t instanceof E?t.box.floor():new w(t);return this.shiftBy(s.x,s.y).align(null,e)}let{useDlibAlignment:r,minBoxPadding:a}={useDlibAlignment:!1,minBoxPadding:.2,...e};return r?this.alignDlib():this.alignMinBbox(a)}alignDlib(){let t=this.getRefPointsForAlignment(),[e,r,a]=t,s=f=>a.sub(f).magnitude(),i=(s(e)+s(r))/2,c=Math.floor(i/No),m=yt(t),p=Math.floor(Math.max(0,m.x-Co*c)),u=Math.floor(Math.max(0,m.y-Io*c));return new St(p,u,Math.min(c,this.imageWidth+p),Math.min(c,this.imageHeight+u))}alignMinBbox(t){let e=br(this.positions);return e.pad(e.width*t,e.height*t)}getRefPointsForAlignment(){throw new Error("getRefPointsForAlignment not implemented by base class")}};var vr=class extends ${getRefPointsForAlignment(){let t=this.positions;return[t[0],t[1],yt([t[3],t[4]])]}};var Lt=class extends ${getJawOutline(){return this.positions.slice(0,17)}getLeftEyeBrow(){return this.positions.slice(17,22)}getRightEyeBrow(){return this.positions.slice(22,27)}getNose(){return this.positions.slice(27,36)}getLeftEye(){return this.positions.slice(36,42)}getRightEye(){return this.positions.slice(42,48)}getMouth(){return this.positions.slice(48,68)}getRefPointsForAlignment(){return[this.getLeftEye(),this.getRightEye(),this.getMouth()].map(yt)}};var Kt=class{constructor(t,e){this._label=t,this._distance=e}get label(){return this._label}get distance(){return this._distance}toString(t=!0){return`${this.label}${t?` (${vt(this.distance)})`:""}`}};var Qt=class extends w{constructor(e,r){super(e);this._label=r}static assertIsValidLabeledBox(e,r){if(w.assertIsValidBox(e,r),!G(e.label))throw new Error(`${r} - expected property label (${e.label}) to be a number`)}get label(){return this._label}};var Q=class{constructor(t,e){if(typeof t!="string")throw new Error("LabeledFaceDescriptors - constructor expected label to be a string");if(!Array.isArray(e)||e.some(r=>!(r instanceof Float32Array)))throw new Error("LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array");this._label=t,this._descriptors=e}get label(){return this._label}get descriptors(){return this._descriptors}toJSON(){return{label:this.label,descriptors:this.descriptors.map(t=>Array.from(t))}}static fromJSON(t){let e=t.descriptors.map(r=>new Float32Array(r));return new Q(t.label,e)}};var yr=class extends Qt{constructor(e,r,a,s){super(e,r);this._score=a,this._classScore=s}static assertIsValidPredictedBox(e,r){if(Qt.assertIsValidLabeledBox(e,r),!It(e.score)||!It(e.classScore))throw new Error(`${r} - expected properties score (${e.score}) and (${e.classScore}) to be a number between [0, 1]`)}get score(){return this._score}get classScore(){return this._classScore}};function tt(o){return o.detection instanceof E}function At(o,t){return{...o,...{detection:t}}}function Ue(){let o=window.fetch;if(!o)throw new Error("fetch - missing fetch implementation for browser environment");return{Canvas:HTMLCanvasElement,CanvasRenderingContext2D,Image:HTMLImageElement,ImageData,Video:HTMLVideoElement,createCanvasElement:()=>document.createElement("canvas"),createImageElement:()=>document.createElement("img"),createVideoElement:()=>document.createElement("video"),fetch:o,readFile:()=>{throw new Error("readFile - filesystem not available for browser environment")}}}function te(){return typeof global=="object"&&typeof process!="undefined"&&process.versions!=null&&process.versions.node!=null}function le(o){let t="";if(!o&&te())try{o=xo("fs")}catch(r){t=r.toString()}return{readFile:o?r=>new Promise((a,s)=>{o.readFile(r,(i,c)=>i?s(i):a(c))}):()=>{throw new Error(`readFile - failed to require fs in nodejs environment with error: ${t}`)}}}function Xe(){let o=global.Canvas||global.HTMLCanvasElement,t=global.Image||global.HTMLImageElement,e=global.Video||global.HTMLVideoElement,r=()=>{if(o)return new o;throw new Error("createCanvasElement - missing Canvas implementation for nodejs environment")},a=()=>{if(t)return new t;throw new Error("createImageElement - missing Image implementation for nodejs environment")},s=()=>{if(e)return new e;throw new Error("createVideoElement - missing Video implementation for nodejs environment")},i=global.fetch,c=le();return{Canvas:o||class{},CanvasRenderingContext2D:global.CanvasRenderingContext2D||class{},Image:t||class{},ImageData:global.ImageData||class{},Video:global.HTMLVideoElement||class{},createCanvasElement:r,createImageElement:a,createVideoElement:s,fetch:i,...c}}function Je(){return typeof window=="object"&&typeof document!="undefined"&&typeof HTMLImageElement!="undefined"&&typeof HTMLCanvasElement!="undefined"&&typeof HTMLVideoElement!="undefined"&&typeof ImageData!="undefined"&&typeof CanvasRenderingContext2D!="undefined"}var C;function So(){if(!C)throw new Error("getEnv - environment is not defined, check isNodejs() and isBrowser()");return C}function qe(o){C=o}function Ze(){return Je()?qe(Ue()):te()?qe(Xe()):null}function Lo(o){if(C||Ze(),!C)throw new Error("monkeyPatch - environment is not defined, check isNodejs() and isBrowser()");let{Canvas:t=C.Canvas,Image:e=C.Image}=o;C.Canvas=t,C.Image=e,C.createCanvasElement=o.createCanvasElement||(()=>new t),C.createImageElement=o.createImageElement||(()=>new e),C.ImageData=o.ImageData||C.ImageData,C.Video=o.Video||C.Video,C.fetch=o.fetch||C.fetch,C.readFile=o.readFile||C.readFile}var T={getEnv:So,setEnv:qe,initialize:Ze,createBrowserEnv:Ue,createFileSystem:le,createNodejsEnv:Xe,monkeyPatch:Lo,isBrowser:Je,isNodejs:te};Ze();function Wt(o){return!T.isNodejs()&&typeof o=="string"?document.getElementById(o):o}function k(o){let{Canvas:t,CanvasRenderingContext2D:e}=T.getEnv();if(o instanceof e)return o;let r=Wt(o);if(!(r instanceof t))throw new Error("resolveContext2d - expected canvas to be of instance of Canvas");let a=r.getContext("2d");if(!a)throw new Error("resolveContext2d - canvas 2d context is null");return a}var Ke=(a=>(a.TOP_LEFT="TOP_LEFT",a.TOP_RIGHT="TOP_RIGHT",a.BOTTOM_LEFT="BOTTOM_LEFT",a.BOTTOM_RIGHT="BOTTOM_RIGHT",a))(Ke||{}),kt=class{constructor(t={}){let{anchorPosition:e,backgroundColor:r,fontColor:a,fontSize:s,fontStyle:i,padding:c}=t;this.anchorPosition=e||"TOP_LEFT",this.backgroundColor=r||"rgba(0, 0, 0, 0.5)",this.fontColor=a||"rgba(255, 255, 255, 1)",this.fontSize=s||14,this.fontStyle=i||"Georgia",this.padding=c||4}},et=class{constructor(t,e,r={}){this.text=typeof t=="string"?[t]:t instanceof et?t.text:t,this.anchor=e,this.options=new kt(r)}measureWidth(t){let{padding:e}=this.options;return this.text.map(r=>t.measureText(r).width).reduce((r,a)=>r{let g=m+f.x,_=m+f.y+(d+1)*i;r.fillText(l,g,_)})}};var de=class{constructor(t={}){let{boxColor:e,lineWidth:r,label:a,drawLabelOptions:s}=t;this.boxColor=e||"rgba(0, 0, 255, 1)",this.lineWidth=r||2,this.label=a;let i={anchorPosition:"BOTTOM_LEFT",backgroundColor:this.boxColor};this.drawLabelOptions=new kt({...i,...s})}},ee=class{constructor(t,e={}){this.box=new w(t),this.options=new de(e)}draw(t){let e=k(t),{boxColor:r,lineWidth:a}=this.options,{x:s,y:i,width:c,height:m}=this.box;e.strokeStyle=r,e.lineWidth=a,e.strokeRect(s,i,c,m);let{label:p}=this.options;p&&new et([p],{x:s-a/2,y:i},this.options.drawLabelOptions).draw(t)}};function Ao(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let a=r instanceof E?r.score:tt(r)?r.detection.score:void 0,s=r instanceof E?r.box:tt(r)?r.detection.box:new w(r),i=a?`${vt(a)}`:void 0;new ee(s,{label:i}).draw(o)})}function he(o){let{Image:t,Video:e}=T.getEnv();return o instanceof t&&o.complete||o instanceof e&&o.readyState>=3}function _r(o){return new Promise((t,e)=>{(o instanceof T.getEnv().Canvas||he(o))&&t(null);function r(s){!s.currentTarget||(s.currentTarget.removeEventListener("load",a),s.currentTarget.removeEventListener("error",r),e(s))}function a(s){!s.currentTarget||(s.currentTarget.removeEventListener("load",a),s.currentTarget.removeEventListener("error",r),t(s))}o.addEventListener("load",a),o.addEventListener("error",r)})}function Tr(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToImage - expected buf to be of type: Blob"));let r=new FileReader;r.onload=()=>{typeof r.result!="string"&&e(new Error("bufferToImage - expected reader.result to be a string, in onload"));let a=T.getEnv().createImageElement();a.onload=()=>t(a),a.onerror=e,a.src=r.result},r.onerror=e,r.readAsDataURL(o)})}function Bt(o){let{Image:t,Video:e}=T.getEnv();return o instanceof t?new S(o.naturalWidth,o.naturalHeight):o instanceof e?new S(o.videoWidth,o.videoHeight):new S(o.width,o.height)}function Rt({width:o,height:t}){let{createCanvasElement:e}=T.getEnv(),r=e();return r.width=o,r.height=t,r}function be(o,t){let{ImageData:e}=T.getEnv();if(!(o instanceof e)&&!he(o))throw new Error("createCanvasFromMedia - media has not finished loading yet");let{width:r,height:a}=t||Bt(o),s=Rt({width:r,height:a});return o instanceof e?k(s).putImageData(o,0,0):k(s).drawImage(o,0,0,r,a),s}async function Pr(o,t){let e=t||T.getEnv().createCanvasElement(),[r,a,s]=o.shape.slice(R(o)?1:0),i=n.tidy(()=>o.as3D(r,a,s).toInt());return await n.browser.toPixels(i,e),i.dispose(),e}function Qe(o){let{Image:t,Canvas:e,Video:r}=T.getEnv();return o instanceof t||o instanceof e||o instanceof r}function wr(o,t,e=!1){let{Image:r,Canvas:a}=T.getEnv();if(!(o instanceof r||o instanceof a))throw new Error("imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement");if(t<=0)return Rt({width:1,height:1});let s=Bt(o),i=t/Math.max(s.height,s.width),c=i*s.width,m=i*s.height,p=Rt({width:t,height:t}),u=o instanceof a?o:be(o),f=Math.abs(c-m)/2,l=e&&c0&&u.height>0&&k(p).drawImage(u,l,d,c,m),p}var rt=class{constructor(t,e=!1){this._imageTensors=[];this._canvases=[];this._treatAsBatchInput=!1;this._inputDimensions=[];this._inputSize=0;if(!Array.isArray(t))throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${t}`);this._treatAsBatchInput=e,this._batchSize=t.length,t.forEach((r,a)=>{if(K(r)){this._imageTensors[a]=r,this._inputDimensions[a]=r.shape;return}if(R(r)){let i=r.shape[0];if(i!==1)throw new Error(`NetInput - tf.Tensor4D with batchSize ${i} passed, but not supported in input array`);this._imageTensors[a]=r,this._inputDimensions[a]=r.shape.slice(1);return}let s=r instanceof T.getEnv().Canvas?r:be(r);this._canvases[a]=s,this._inputDimensions[a]=[s.height,s.width,3]})}get imageTensors(){return this._imageTensors}get canvases(){return this._canvases}get isBatchInput(){return this.batchSize>1||this._treatAsBatchInput}get batchSize(){return this._batchSize}get inputDimensions(){return this._inputDimensions}get inputSize(){return this._inputSize}get reshapedInputDimensions(){return U(this.batchSize,0,1).map((t,e)=>this.getReshapedInputDimensions(e))}getInput(t){return this.canvases[t]||this.imageTensors[t]}getInputDimensions(t){return this._inputDimensions[t]}getInputHeight(t){return this._inputDimensions[t][0]}getInputWidth(t){return this._inputDimensions[t][1]}getReshapedInputDimensions(t){if(typeof this.inputSize!="number")throw new Error("getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet");let e=this.getInputWidth(t),r=this.getInputHeight(t);return je({width:e,height:r},this.inputSize)}toBatchTensor(t,e=!0){return this._inputSize=t,n.tidy(()=>{let r=U(this.batchSize,0,1).map(s=>{let i=this.getInput(s);if(i instanceof n.Tensor){let c=R(i)?i:n.expandDims(i);return c=xr(c,e),(c.shape[1]!==t||c.shape[2]!==t)&&(c=n.image.resizeBilinear(c,[t,t],!1,!1)),c.as3D(t,t,3)}if(i instanceof T.getEnv().Canvas)return n.browser.fromPixels(wr(i,t,e));throw new Error(`toBatchTensor - at batchIdx ${s}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${i}`)});return n.stack(r.map(s=>n.cast(s,"float32"))).as4D(this.batchSize,t,t,3)})}};async function M(o){if(o instanceof rt)return o;let t=Array.isArray(o)?o:[o];if(!t.length)throw new Error("toNetInput - empty array passed as input");let e=a=>Array.isArray(o)?` at input index ${a}:`:"",r=t.map(Wt);return r.forEach((a,s)=>{if(!Qe(a)&&!K(a)&&!R(a))throw typeof t[s]=="string"?new Error(`toNetInput -${e(s)} string passed, but could not resolve HTMLElement for element id ${t[s]}`):new Error(`toNetInput -${e(s)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);if(R(a)){let i=a.shape[0];if(i!==1)throw new Error(`toNetInput -${e(s)} tf.Tensor4D with batchSize ${i} passed, but not supported in input array`)}}),await Promise.all(r.map(a=>Qe(a)&&_r(a))),new rt(r,Array.isArray(o))}async function re(o,t){let{Canvas:e}=T.getEnv(),r=o;if(!(o instanceof e)){let i=await M(o);if(i.batchSize>1)throw new Error("extractFaces - batchSize > 1 not supported");let c=i.getInput(0);r=c instanceof e?c:await Pr(c)}let a=k(r);return t.map(i=>i instanceof E?i.forSize(r.width,r.height).box.floor():i).map(i=>i.clipAtImageBorders(r.width,r.height)).map(({x:i,y:c,width:m,height:p})=>{let u=Rt({width:m,height:p});return m>0&&p>0&&k(u).putImageData(a.getImageData(i,c,m,p),0,0),u})}async function oe(o,t){if(!K(o)&&!R(o))throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");if(R(o)&&o.shape[0]>1)throw new Error("extractFaceTensors - batchSize > 1 not supported");return n.tidy(()=>{let[e,r,a]=o.shape.slice(R(o)?1:0);return t.map(c=>c instanceof E?c.forSize(r,e).box:c).map(c=>c.clipAtImageBorders(r,e)).filter(c=>c.width>0&&c.height>0).map(({x:c,y:m,width:p,height:u})=>n.slice3d(o.as3D(e,r,a),[m,c,0],[u,p,a]))})}async function mt(o,t){let{fetch:e}=T.getEnv(),r=await e(o,t);if(!(r.status<400))throw new Error(`failed to fetch: (${r.status}) ${r.statusText}, from url: ${r.url}`);return r}async function Mi(o){let t=await mt(o),e=await t.blob();if(!e.type.startsWith("image/"))throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${e.type}, for url: ${t.url}`);return Tr(e)}async function Fr(o){return(await mt(o)).json()}async function Li(o){return new Float32Array(await(await mt(o)).arrayBuffer())}function Dr(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToVideo - expected buf to be of type: Blob"));let r=T.getEnv().createVideoElement();r.oncanplay=()=>t(r),r.onerror=e,r.playsInline=!0,r.muted=!0,r.src=URL.createObjectURL(o),r.play()})}async function $i(o){let t=await mt(o),e=await t.blob();if(!e.type.startsWith("video/"))throw new Error(`fetchVideo - expected blob type to be of type video/*, instead have: ${e.type}, for url: ${t.url}`);return Dr(e)}function ge(o,t){let e=`${t}-weights_manifest.json`;if(!o)return{modelBaseUri:"",manifestUri:e};if(o==="/")return{modelBaseUri:"/",manifestUri:`/${e}`};let r=o.startsWith("http://")?"http://":o.startsWith("https://")?"https://":"";o=o.replace(r,"");let a=o.split("/").filter(c=>c),s=o.endsWith(".json")?a[a.length-1]:e,i=r+(o.endsWith(".json")?a.slice(0,a.length-1):a).join("/");return i=o.startsWith("/")?`/${i}`:i,{modelBaseUri:i,manifestUri:i==="/"?`/${s}`:`${i}/${s}`}}async function Er(o,t){let{manifestUri:e,modelBaseUri:r}=ge(o,t),a=await Fr(e);return n.io.loadWeights(a,r)}function ji(o,t,e=!1){let{width:r,height:a}=e?Bt(t):t;return o.width=r,o.height=a,{width:r,height:a}}var I=class{constructor(t){this._params=void 0;this._paramMappings=[];this._name=t}get params(){return this._params}get paramMappings(){return this._paramMappings}get isLoaded(){return!!this.params}getParamFromPath(t){let{obj:e,objProp:r}=this.traversePropertyPath(t);return e[r]}reassignParamFromPath(t,e){let{obj:r,objProp:a}=this.traversePropertyPath(t);r[a].dispose(),r[a]=e}getParamList(){return this._paramMappings.map(({paramPath:t})=>({path:t,tensor:this.getParamFromPath(t)}))}getTrainableParams(){return this.getParamList().filter(t=>t.tensor instanceof n.Variable)}getFrozenParams(){return this.getParamList().filter(t=>!(t.tensor instanceof n.Variable))}variable(){this.getFrozenParams().forEach(({path:t,tensor:e})=>{this.reassignParamFromPath(t,e.variable())})}freeze(){this.getTrainableParams().forEach(({path:t,tensor:e})=>{let r=n.tensor(e.dataSync());e.dispose(),this.reassignParamFromPath(t,r)})}dispose(t=!0){this.getParamList().forEach(e=>{if(t&&e.tensor.isDisposed)throw new Error(`param tensor has already been disposed for path ${e.path}`);e.tensor.dispose()}),this._params=void 0}serializeParams(){return new Float32Array(this.getParamList().map(({tensor:t})=>Array.from(t.dataSync())).reduce((t,e)=>t.concat(e)))}async load(t){if(t instanceof Float32Array){this.extractWeights(t);return}await this.loadFromUri(t)}async loadFromUri(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromUri - expected model uri`);let e=await Er(t,this.getDefaultModelName());this.loadFromWeightMap(e)}async loadFromDisk(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromDisk - expected model file path`);let{readFile:e}=T.getEnv(),{manifestUri:r,modelBaseUri:a}=ge(t,this.getDefaultModelName()),s=p=>Promise.all(p.map(u=>e(u).then(f=>f.buffer))),i=n.io.weightsLoaderFactory(s),c=JSON.parse((await e(r)).toString()),m=await i(c,a);this.loadFromWeightMap(m)}loadFromWeightMap(t){let{paramMappings:e,params:r}=this.extractParamsFromWeightMap(t);this._paramMappings=e,this._params=r}extractWeights(t){let{paramMappings:e,params:r}=this.extractParams(t);this._paramMappings=e,this._params=r}traversePropertyPath(t){if(!this.params)throw new Error("traversePropertyPath - model has no loaded params");let e=t.split("/").reduce((s,i)=>{if(!s.nextObj.hasOwnProperty(i))throw new Error(`traversePropertyPath - object does not have property ${i}, for path ${t}`);return{obj:s.nextObj,objProp:i,nextObj:s.nextObj[i]}},{nextObj:this.params}),{obj:r,objProp:a}=e;if(!r||!a||!(r[a]instanceof n.Tensor))throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${t}`);return{obj:r,objProp:a}}};function W(o,t,e){return n.tidy(()=>{let r=n.separableConv2d(o,t.depthwise_filter,t.pointwise_filter,e,"same");return r=n.add(r,t.bias),r})}function xe(o,t,e=!1){return n.tidy(()=>{let r=n.relu(e?n.add(n.conv2d(o,t.conv0.filters,[2,2],"same"),t.conv0.bias):W(o,t.conv0,[2,2])),a=W(r,t.conv1,[1,1]),s=n.relu(n.add(r,a)),i=W(s,t.conv2,[1,1]);return n.relu(n.add(r,n.add(a,i)))})}function ne(o,t,e=!1,r=!0){return n.tidy(()=>{let a=n.relu(e?n.add(n.conv2d(o,t.conv0.filters,r?[2,2]:[1,1],"same"),t.conv0.bias):W(o,t.conv0,r?[2,2]:[1,1])),s=W(a,t.conv1,[1,1]),i=n.relu(n.add(a,s)),c=W(i,t.conv2,[1,1]),m=n.relu(n.add(a,n.add(s,c))),p=W(m,t.conv3,[1,1]);return n.relu(n.add(a,n.add(s,n.add(c,p))))})}function _t(o,t,e="same",r=!1){return n.tidy(()=>{let a=n.add(n.conv2d(o,t.filters,[1,1],e),t.bias);return r?n.relu(a):a})}function L(o,t){Object.keys(o).forEach(e=>{t.some(r=>r.originalPath===e)||o[e].dispose()})}function $t(o,t){return(e,r,a,s)=>{let i=n.tensor4d(o(e*r*a*a),[a,a,e,r]),c=n.tensor1d(o(r));return t.push({paramPath:`${s}/filters`},{paramPath:`${s}/bias`}),{filters:i,bias:c}}}function ve(o,t){return(e,r,a)=>{let s=n.tensor2d(o(e*r),[e,r]),i=n.tensor1d(o(r));return t.push({paramPath:`${a}/weights`},{paramPath:`${a}/bias`}),{weights:s,bias:i}}}var ae=class{constructor(t,e,r){this.depthwise_filter=t;this.pointwise_filter=e;this.bias=r}};function Ot(o,t){return(e,r,a)=>{let s=n.tensor4d(o(9*e),[3,3,e,1]),i=n.tensor4d(o(e*r),[1,1,e,r]),c=n.tensor1d(o(r));return t.push({paramPath:`${a}/depthwise_filter`},{paramPath:`${a}/pointwise_filter`},{paramPath:`${a}/bias`}),new ae(s,i,c)}}function Ht(o){return t=>{let e=o(`${t}/depthwise_filter`,4),r=o(`${t}/pointwise_filter`,4),a=o(`${t}/bias`,1);return new ae(e,r,a)}}function B(o,t){return(e,r,a)=>{let s=o[e];if(!xt(s,r))throw new Error(`expected weightMap[${e}] to be a Tensor${r}D, instead have ${s}`);return t.push({originalPath:e,paramPath:a||e}),s}}function A(o){let t=o;function e(a){let s=t.slice(0,a);return t=t.slice(a),s}function r(){return t}return{extractWeights:e,getRemainingWeights:r}}function ye(o,t){let e=$t(o,t),r=Ot(o,t);function a(i,c,m,p=!1){let u=p?e(i,c,3,`${m}/conv0`):r(i,c,`${m}/conv0`),f=r(c,c,`${m}/conv1`),l=r(c,c,`${m}/conv2`);return{conv0:u,conv1:f,conv2:l}}function s(i,c,m,p=!1){let{conv0:u,conv1:f,conv2:l}=a(i,c,m,p),d=r(c,c,`${m}/conv3`);return{conv0:u,conv1:f,conv2:l,conv3:d}}return{extractDenseBlock3Params:a,extractDenseBlock4Params:s}}function Mr(o){let t=[],{extractWeights:e,getRemainingWeights:r}=A(o),{extractDenseBlock4Params:a}=ye(e,t),s=a(3,32,"dense0",!0),i=a(32,64,"dense1"),c=a(64,128,"dense2"),m=a(128,256,"dense3");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:s,dense1:i,dense2:c,dense3:m}}}function _e(o){return t=>{let e=o(`${t}/filters`,4),r=o(`${t}/bias`,1);return{filters:e,bias:r}}}function Te(o,t){let e=B(o,t),r=_e(e),a=Ht(e);function s(c,m=!1){let p=m?r(`${c}/conv0`):a(`${c}/conv0`),u=a(`${c}/conv1`),f=a(`${c}/conv2`);return{conv0:p,conv1:u,conv2:f}}function i(c,m=!1){let p=m?r(`${c}/conv0`):a(`${c}/conv0`),u=a(`${c}/conv1`),f=a(`${c}/conv2`),l=a(`${c}/conv3`);return{conv0:p,conv1:u,conv2:f,conv3:l}}return{extractDenseBlock3Params:s,extractDenseBlock4Params:i}}function Cr(o){let t=[],{extractDenseBlock4Params:e}=Te(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2"),dense3:e("dense3")};return L(o,t),{params:r,paramMappings:t}}var zt=class extends I{constructor(){super("FaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceFeatureExtractor - load model before inference");return n.tidy(()=>{let r=n.cast(t.toBatchTensor(112,!0),"float32"),s=X(r,[122.782,117.001,104.298]).div(255),i=ne(s,e.dense0,!0);return i=ne(i,e.dense1),i=ne(i,e.dense2),i=ne(i,e.dense3),i=n.avgPool(i,[7,7],[2,2],"valid"),i})}async forward(t){return this.forwardInput(await M(t))}getDefaultModelName(){return"face_feature_extractor_model"}extractParamsFromWeightMap(t){return Cr(t)}extractParams(t){return Mr(t)}};function se(o,t){return n.tidy(()=>n.add(n.matMul(o,t.weights),t.bias))}function Ir(o,t,e){let r=[],{extractWeights:a,getRemainingWeights:s}=A(o),c=ve(a,r)(t,e,"fc");if(s().length!==0)throw new Error(`weights remaing after extract: ${s().length}`);return{paramMappings:r,params:{fc:c}}}function Nr(o){let t=[],e=B(o,t);function r(s){let i=e(`${s}/weights`,2),c=e(`${s}/bias`,1);return{weights:i,bias:c}}let a={fc:r("fc")};return L(o,t),{params:a,paramMappings:t}}function Pe(o){let t={},e={};return Object.keys(o).forEach(r=>{let a=r.startsWith("fc")?e:t;a[r]=o[r]}),{featureExtractorMap:t,classifierMap:e}}var Vt=class extends I{constructor(e,r){super(e);this._faceFeatureExtractor=r}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return n.tidy(()=>{let a=e instanceof rt?this.faceFeatureExtractor.forwardInput(e):e;return se(a.as2D(a.shape[0],-1),r.fc)})}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:a}=this.extractClassifierParams(e);this._params=r,this._paramMappings=a}extractClassifierParams(e){return Ir(e,this.getClassifierChannelsIn(),this.getClassifierChannelsOut())}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:a}=Pe(e);return this.faceFeatureExtractor.loadFromWeightMap(r),Nr(a)}extractParams(e){let r=this.getClassifierChannelsIn(),a=this.getClassifierChannelsOut(),s=a*r+a,i=e.slice(0,e.length-s),c=e.slice(e.length-s);return this.faceFeatureExtractor.extractWeights(i),this.extractClassifierParams(c)}};var Sr=["neutral","happy","sad","angry","fearful","disgusted","surprised"],pt=class{constructor(t){this.neutral=0;this.happy=0;this.sad=0;this.angry=0;this.fearful=0;this.disgusted=0;this.surprised=0;if(t.length!==7)throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${t.length}`);Sr.forEach((e,r)=>{this[e]=t[r]})}asSortedArray(){return Sr.map(t=>({expression:t,probability:this[t]})).sort((t,e)=>e.probability-t.probability)}};var we=class extends Vt{constructor(t=new zt){super("FaceExpressionNet",t)}forwardInput(t){return n.tidy(()=>n.softmax(this.runNet(t)))}async forward(t){return this.forwardInput(await M(t))}async predictExpressions(t){let e=await M(t),r=await this.forwardInput(e),a=await Promise.all(n.unstack(r).map(async i=>{let c=i.dataSync();return i.dispose(),c}));r.dispose();let s=a.map(i=>new pt(i));return e.isBatchInput?s:s[0]}getDefaultModelName(){return"face_expression_model"}getClassifierChannelsIn(){return 256}getClassifierChannelsOut(){return 7}};function Lr(o){return o.expressions instanceof pt}function tr(o,t){return{...o,...{expressions:t}}}function Wo(o,t,e=.1,r){(Array.isArray(t)?t:[t]).forEach(s=>{let i=s instanceof pt?s:Lr(s)?s.expressions:void 0;if(!i)throw new Error("drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof");let m=i.asSortedArray().filter(f=>f.probability>e),p=tt(s)?s.detection.box.bottomLeft:r||new b(0,0);new et(m.map(f=>`${f.expression} (${vt(f.probability)})`),p).draw(o)})}function Yt(o){return tt(o)&&o.landmarks instanceof $&&o.unshiftedLandmarks instanceof $&&o.alignedRect instanceof E}function ko(o){let t=(c,m,p,u)=>Math.atan2(u-m,p-c)%Math.PI,e=c=>c*180/Math.PI,r={roll:void 0,pitch:void 0,yaw:void 0};if(!o||!o._positions||o._positions.length!==68)return r;let a=o._positions;r.roll=-t(a[36]._x,a[36]._y,a[45]._x,a[45]._y),r.pitch=t(0,Math.abs(a[0]._x-a[30]._x)/a[30]._x,Math.PI,Math.abs(a[16]._x-a[30]._x)/a[30]._x);let s=a.reduce((c,m)=>cc>m._y?c:m._y,-1/0);return r.yaw=Math.PI*(o._imgDims._height/(i-s)/1.4-1),r}function ie(o,t){let{box:e}=o.detection,r=t.shiftBy(e.x,e.y),a=r.align(),{imageDims:s}=o.detection,i=new E(o.detection.score,a.rescale(s.reverse()),s),c=ko(t);return{...o,...{landmarks:r,unshiftedLandmarks:t,alignedRect:i,angle:c}}}var Fe=class{constructor(t={}){let{drawLines:e=!0,drawPoints:r=!0,lineWidth:a,lineColor:s,pointSize:i,pointColor:c}=t;this.drawLines=e,this.drawPoints=r,this.lineWidth=a||1,this.pointSize=i||2,this.lineColor=s||"rgba(0, 255, 255, 1)",this.pointColor=c||"rgba(255, 0, 255, 1)"}},De=class{constructor(t,e={}){this.faceLandmarks=t,this.options=new Fe(e)}draw(t){let e=k(t),{drawLines:r,drawPoints:a,lineWidth:s,lineColor:i,pointSize:c,pointColor:m}=this.options;if(r&&this.faceLandmarks instanceof Lt&&(e.strokeStyle=i,e.lineWidth=s,Z(e,this.faceLandmarks.getJawOutline()),Z(e,this.faceLandmarks.getLeftEyeBrow()),Z(e,this.faceLandmarks.getRightEyeBrow()),Z(e,this.faceLandmarks.getNose()),Z(e,this.faceLandmarks.getLeftEye(),!0),Z(e,this.faceLandmarks.getRightEye(),!0),Z(e,this.faceLandmarks.getMouth(),!0)),a){e.strokeStyle=m,e.fillStyle=m;let p=u=>{e.beginPath(),e.arc(u.x,u.y,c,0,2*Math.PI),e.fill()};this.faceLandmarks.positions.forEach(p)}}};function Bo(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let a=r instanceof $?r:Yt(r)?r.landmarks:void 0;if(!a)throw new Error("drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks> or array thereof");new De(a).draw(o)})}var Wr="1.7.5";function Oo(o,t){let e=$t(o,t),r=Ot(o,t);function a(i,c,m){let p=r(i,c,`${m}/separable_conv0`),u=r(c,c,`${m}/separable_conv1`),f=e(i,c,1,`${m}/expansion_conv`);return{separable_conv0:p,separable_conv1:u,expansion_conv:f}}function s(i,c){let m=r(i,i,`${c}/separable_conv0`),p=r(i,i,`${c}/separable_conv1`),u=r(i,i,`${c}/separable_conv2`);return{separable_conv0:m,separable_conv1:p,separable_conv2:u}}return{extractConvParams:e,extractSeparableConvParams:r,extractReductionBlockParams:a,extractMainBlockParams:s}}function kr(o,t){let e=[],{extractWeights:r,getRemainingWeights:a}=A(o),{extractConvParams:s,extractSeparableConvParams:i,extractReductionBlockParams:c,extractMainBlockParams:m}=Oo(r,e),p=s(3,32,3,"entry_flow/conv_in"),u=c(32,64,"entry_flow/reduction_block_0"),f=c(64,128,"entry_flow/reduction_block_1"),l={conv_in:p,reduction_block_0:u,reduction_block_1:f},d={};U(t,0,1).forEach(h=>{d[`main_block_${h}`]=m(128,`middle_flow/main_block_${h}`)});let g=c(128,256,"exit_flow/reduction_block"),_=i(256,512,"exit_flow/separable_conv"),F={reduction_block:g,separable_conv:_};if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:e,params:{entry_flow:l,middle_flow:d,exit_flow:F}}}function Ho(o,t){let e=B(o,t),r=_e(e),a=Ht(e);function s(c){let m=a(`${c}/separable_conv0`),p=a(`${c}/separable_conv1`),u=r(`${c}/expansion_conv`);return{separable_conv0:m,separable_conv1:p,expansion_conv:u}}function i(c){let m=a(`${c}/separable_conv0`),p=a(`${c}/separable_conv1`),u=a(`${c}/separable_conv2`);return{separable_conv0:m,separable_conv1:p,separable_conv2:u}}return{extractConvParams:r,extractSeparableConvParams:a,extractReductionBlockParams:s,extractMainBlockParams:i}}function Br(o,t){let e=[],{extractConvParams:r,extractSeparableConvParams:a,extractReductionBlockParams:s,extractMainBlockParams:i}=Ho(o,e),c=r("entry_flow/conv_in"),m=s("entry_flow/reduction_block_0"),p=s("entry_flow/reduction_block_1"),u={conv_in:c,reduction_block_0:m,reduction_block_1:p},f={};U(t,0,1).forEach(_=>{f[`main_block_${_}`]=i(`middle_flow/main_block_${_}`)});let l=s("exit_flow/reduction_block"),d=a("exit_flow/separable_conv"),g={reduction_block:l,separable_conv:d};return L(o,e),{params:{entry_flow:u,middle_flow:f,exit_flow:g},paramMappings:e}}function Rr(o,t,e){return n.add(n.conv2d(o,t.filters,e,"same"),t.bias)}function er(o,t,e=!0){let r=e?n.relu(o):o;return r=W(r,t.separable_conv0,[1,1]),r=W(n.relu(r),t.separable_conv1,[1,1]),r=n.maxPool(r,[3,3],[2,2],"same"),r=n.add(r,Rr(o,t.expansion_conv,[2,2])),r}function zo(o,t){let e=W(n.relu(o),t.separable_conv0,[1,1]);return e=W(n.relu(e),t.separable_conv1,[1,1]),e=W(n.relu(e),t.separable_conv2,[1,1]),e=n.add(e,o),e}var Ee=class extends I{constructor(e){super("TinyXception");this._numMainBlocks=e}forwardInput(e){let{params:r}=this;if(!r)throw new Error("TinyXception - load model before inference");return n.tidy(()=>{let a=n.cast(e.toBatchTensor(112,!0),"float32"),i=X(a,[122.782,117.001,104.298]).div(255),c=n.relu(Rr(i,r.entry_flow.conv_in,[2,2]));return c=er(c,r.entry_flow.reduction_block_0,!1),c=er(c,r.entry_flow.reduction_block_1),U(this._numMainBlocks,0,1).forEach(m=>{c=zo(c,r.middle_flow[`main_block_${m}`])}),c=er(c,r.exit_flow.reduction_block),c=n.relu(W(c,r.exit_flow.separable_conv,[1,1])),c})}async forward(e){return this.forwardInput(await M(e))}getDefaultModelName(){return"tiny_xception_model"}extractParamsFromWeightMap(e){return Br(e,this._numMainBlocks)}extractParams(e){return kr(e,this._numMainBlocks)}};function $r(o){let t=[],{extractWeights:e,getRemainingWeights:r}=A(o),a=ve(e,t),s=a(512,1,"fc/age"),i=a(512,2,"fc/gender");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{fc:{age:s,gender:i}}}}function Or(o){let t=[],e=B(o,t);function r(s){let i=e(`${s}/weights`,2),c=e(`${s}/bias`,1);return{weights:i,bias:c}}let a={fc:{age:r("fc/age"),gender:r("fc/gender")}};return L(o,t),{params:a,paramMappings:t}}var rr=(e=>(e.FEMALE="female",e.MALE="male",e))(rr||{});var Me=class extends I{constructor(e=new Ee(2)){super("AgeGenderNet");this._faceFeatureExtractor=e}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return n.tidy(()=>{let a=e instanceof rt?this.faceFeatureExtractor.forwardInput(e):e,s=n.avgPool(a,[7,7],[2,2],"valid").as2D(a.shape[0],-1),i=se(s,r.fc.age).as1D(),c=se(s,r.fc.gender);return{age:i,gender:c}})}forwardInput(e){return n.tidy(()=>{let{age:r,gender:a}=this.runNet(e);return{age:r,gender:n.softmax(a)}})}async forward(e){return this.forwardInput(await M(e))}async predictAgeAndGender(e){let r=await M(e),a=await this.forwardInput(r),s=n.unstack(a.age),i=n.unstack(a.gender),c=s.map((p,u)=>({ageTensor:p,genderTensor:i[u]})),m=await Promise.all(c.map(async({ageTensor:p,genderTensor:u})=>{let f=p.dataSync()[0],l=u.dataSync()[0],d=l>.5,g=d?"male":"female",_=d?l:1-l;return p.dispose(),u.dispose(),{age:f,gender:g,genderProbability:_}}));return a.age.dispose(),a.gender.dispose(),r.isBatchInput?m:m[0]}getDefaultModelName(){return"age_gender_model"}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:a}=this.extractClassifierParams(e);this._params=r,this._paramMappings=a}extractClassifierParams(e){return $r(e)}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:a}=Pe(e);return this.faceFeatureExtractor.loadFromWeightMap(r),Or(a)}extractParams(e){let a=e.slice(0,e.length-1539),s=e.slice(e.length-1539);return this.faceFeatureExtractor.extractWeights(a),this.extractClassifierParams(s)}};var Gt=class extends Vt{postProcess(t,e,r){let a=r.map(({width:i,height:c})=>{let m=e/Math.max(c,i);return{width:i*m,height:c*m}}),s=a.length;return n.tidy(()=>{let i=(f,l)=>n.stack([n.fill([68],f,"float32"),n.fill([68],l,"float32")],1).as2D(1,136).as1D(),c=(f,l)=>{let{width:d,height:g}=a[f];return l(d,g)?Math.abs(d-g)/2:0},m=f=>c(f,(l,d)=>lc(f,(l,d)=>di(m(l),p(l))))).div(n.stack(Array.from(Array(s),(f,l)=>i(a[l].width,a[l].height))))})}forwardInput(t){return n.tidy(()=>{let e=this.runNet(t);return this.postProcess(e,t.inputSize,t.inputDimensions.map(([r,a])=>({height:r,width:a})))})}async forward(t){return this.forwardInput(await M(t))}async detectLandmarks(t){let e=await M(t),r=n.tidy(()=>n.unstack(this.forwardInput(e))),a=await Promise.all(r.map(async(s,i)=>{let c=Array.from(s.dataSync()),m=c.filter((u,f)=>pe(f)),p=c.filter((u,f)=>!pe(f));return new Lt(Array(68).fill(0).map((u,f)=>new b(m[f],p[f])),{height:e.getInputHeight(i),width:e.getInputWidth(i)})}));return r.forEach(s=>s.dispose()),e.isBatchInput?a:a[0]}getClassifierChannelsOut(){return 136}};var jt=class extends Gt{constructor(t=new zt){super("FaceLandmark68Net",t)}getDefaultModelName(){return"face_landmark_68_model"}getClassifierChannelsIn(){return 256}};function Hr(o){let t=[],{extractDenseBlock3Params:e}=Te(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2")};return L(o,t),{params:r,paramMappings:t}}function zr(o){let t=[],{extractWeights:e,getRemainingWeights:r}=A(o),{extractDenseBlock3Params:a}=ye(e,t),s=a(3,32,"dense0",!0),i=a(32,64,"dense1"),c=a(64,128,"dense2");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:s,dense1:i,dense2:c}}}var Ce=class extends I{constructor(){super("TinyFaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("TinyFaceFeatureExtractor - load model before inference");return n.tidy(()=>{let r=n.cast(t.toBatchTensor(112,!0),"float32"),s=X(r,[122.782,117.001,104.298]).div(255),i=xe(s,e.dense0,!0);return i=xe(i,e.dense1),i=xe(i,e.dense2),i=n.avgPool(i,[14,14],[2,2],"valid"),i})}async forward(t){return this.forwardInput(await M(t))}getDefaultModelName(){return"face_feature_extractor_tiny_model"}extractParamsFromWeightMap(t){return Hr(t)}extractParams(t){return zr(t)}};var Ie=class extends Gt{constructor(t=new Ce){super("FaceLandmark68TinyNet",t)}getDefaultModelName(){return"face_landmark_68_tiny_model"}getClassifierChannelsIn(){return 128}};var Vr=class extends jt{};function Yr(o,t){return n.add(n.mul(o,t.weights),t.biases)}function or(o,t,e,r,a="same"){let{filters:s,bias:i}=t.conv,c=n.conv2d(o,s,e,a);return c=n.add(c,i),c=Yr(c,t.scale),r?n.relu(c):c}function Gr(o,t){return or(o,t,[1,1],!0)}function nr(o,t){return or(o,t,[1,1],!1)}function Ne(o,t){return or(o,t,[2,2],!0,"valid")}function Vo(o,t){function e(c,m,p){let u=o(c),f=u.length/(m*p*p);if(Ge(f))throw new Error(`depth has to be an integer: ${f}, weights.length: ${u.length}, numFilters: ${m}, filterSize: ${p}`);return n.tidy(()=>n.transpose(n.tensor4d(u,[m,f,p,p]),[2,3,1,0]))}function r(c,m,p,u){let f=e(c,m,p),l=n.tensor1d(o(m));return t.push({paramPath:`${u}/filters`},{paramPath:`${u}/bias`}),{filters:f,bias:l}}function a(c,m){let p=n.tensor1d(o(c)),u=n.tensor1d(o(c));return t.push({paramPath:`${m}/weights`},{paramPath:`${m}/biases`}),{weights:p,biases:u}}function s(c,m,p,u){let f=r(c,m,p,`${u}/conv`),l=a(m,`${u}/scale`);return{conv:f,scale:l}}function i(c,m,p,u,f=!1){let l=s((f?.5:1)*c,m,p,`${u}/conv1`),d=s(c,m,p,`${u}/conv2`);return{conv1:l,conv2:d}}return{extractConvLayerParams:s,extractResidualLayerParams:i}}function jr(o){let{extractWeights:t,getRemainingWeights:e}=A(o),r=[],{extractConvLayerParams:a,extractResidualLayerParams:s}=Vo(t,r),i=a(4704,32,7,"conv32_down"),c=s(9216,32,3,"conv32_1"),m=s(9216,32,3,"conv32_2"),p=s(9216,32,3,"conv32_3"),u=s(36864,64,3,"conv64_down",!0),f=s(36864,64,3,"conv64_1"),l=s(36864,64,3,"conv64_2"),d=s(36864,64,3,"conv64_3"),g=s(147456,128,3,"conv128_down",!0),_=s(147456,128,3,"conv128_1"),F=s(147456,128,3,"conv128_2"),h=s(589824,256,3,"conv256_down",!0),y=s(589824,256,3,"conv256_1"),x=s(589824,256,3,"conv256_2"),D=s(589824,256,3,"conv256_down_out"),N=n.tidy(()=>n.transpose(n.tensor2d(t(256*128),[128,256]),[1,0]));if(r.push({paramPath:"fc"}),e().length!==0)throw new Error(`weights remaing after extract: ${e().length}`);return{params:{conv32_down:i,conv32_1:c,conv32_2:m,conv32_3:p,conv64_down:u,conv64_1:f,conv64_2:l,conv64_3:d,conv128_down:g,conv128_1:_,conv128_2:F,conv256_down:h,conv256_1:y,conv256_2:x,conv256_down_out:D,fc:N},paramMappings:r}}function Yo(o,t){let e=B(o,t);function r(i){let c=e(`${i}/scale/weights`,1),m=e(`${i}/scale/biases`,1);return{weights:c,biases:m}}function a(i){let c=e(`${i}/conv/filters`,4),m=e(`${i}/conv/bias`,1),p=r(i);return{conv:{filters:c,bias:m},scale:p}}function s(i){return{conv1:a(`${i}/conv1`),conv2:a(`${i}/conv2`)}}return{extractConvLayerParams:a,extractResidualLayerParams:s}}function Ur(o){let t=[],{extractConvLayerParams:e,extractResidualLayerParams:r}=Yo(o,t),a=e("conv32_down"),s=r("conv32_1"),i=r("conv32_2"),c=r("conv32_3"),m=r("conv64_down"),p=r("conv64_1"),u=r("conv64_2"),f=r("conv64_3"),l=r("conv128_down"),d=r("conv128_1"),g=r("conv128_2"),_=r("conv256_down"),F=r("conv256_1"),h=r("conv256_2"),y=r("conv256_down_out"),{fc:x}=o;if(t.push({originalPath:"fc",paramPath:"fc"}),!Ye(x))throw new Error(`expected weightMap[fc] to be a Tensor2D, instead have ${x}`);let D={conv32_down:a,conv32_1:s,conv32_2:i,conv32_3:c,conv64_down:m,conv64_1:p,conv64_2:u,conv64_3:f,conv128_down:l,conv128_1:d,conv128_2:g,conv256_down:_,conv256_1:F,conv256_2:h,conv256_down_out:y,fc:x};return L(o,t),{params:D,paramMappings:t}}function j(o,t){let e=Gr(o,t.conv1);return e=nr(e,t.conv2),e=n.add(e,o),e=n.relu(e),e}function ce(o,t){let e=Ne(o,t.conv1);e=nr(e,t.conv2);let r=n.avgPool(o,2,2,"valid"),a=n.zeros(r.shape),s=r.shape[3]!==e.shape[3];if(r.shape[1]!==e.shape[1]||r.shape[2]!==e.shape[2]){let c=[...e.shape];c[1]=1;let m=n.zeros(c);e=n.concat([e,m],1);let p=[...e.shape];p[2]=1;let u=n.zeros(p);e=n.concat([e,u],2)}return r=s?n.concat([r,a],3):r,e=n.add(r,e),e=n.relu(e),e}var Ut=class extends I{constructor(){super("FaceRecognitionNet")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceRecognitionNet - load model before inference");return n.tidy(()=>{let r=n.cast(t.toBatchTensor(150,!0),"float32"),s=X(r,[122.782,117.001,104.298]).div(255),i=Ne(s,e.conv32_down);i=n.maxPool(i,3,2,"valid"),i=j(i,e.conv32_1),i=j(i,e.conv32_2),i=j(i,e.conv32_3),i=ce(i,e.conv64_down),i=j(i,e.conv64_1),i=j(i,e.conv64_2),i=j(i,e.conv64_3),i=ce(i,e.conv128_down),i=j(i,e.conv128_1),i=j(i,e.conv128_2),i=ce(i,e.conv256_down),i=j(i,e.conv256_1),i=j(i,e.conv256_2),i=ce(i,e.conv256_down_out);let c=i.mean([1,2]);return n.matMul(c,e.fc)})}async forward(t){return this.forwardInput(await M(t))}async computeFaceDescriptor(t){var s;if((s=t==null?void 0:t.shape)!=null&&s.some(i=>i<=0))return new Float32Array(128);let e=await M(t),r=n.tidy(()=>n.unstack(this.forwardInput(e))),a=await Promise.all(r.map(i=>i.data()));return r.forEach(i=>i.dispose()),e.isBatchInput?a:a[0]}getDefaultModelName(){return"face_recognition_model"}extractParamsFromWeightMap(t){return Ur(t)}extractParams(t){return jr(t)}};function vf(o){let t=new Ut;return t.extractWeights(o),t}function ar(o,t){return{...o,...{descriptor:t}}}function Pf(o){return typeof o.age=="number"}function sr(o,t){return{...o,...{age:t}}}function Ef(o){return(o.gender==="male"||o.gender==="female")&&It(o.genderProbability)}function ir(o,t,e){return{...o,...{gender:t,genderProbability:e}}}function Go(o,t){function e(m,p){let u=n.tensor4d(o(9*m),[3,3,m,1]),f=n.tensor1d(o(m)),l=n.tensor1d(o(m)),d=n.tensor1d(o(m)),g=n.tensor1d(o(m));return t.push({paramPath:`${p}/filters`},{paramPath:`${p}/batch_norm_scale`},{paramPath:`${p}/batch_norm_offset`},{paramPath:`${p}/batch_norm_mean`},{paramPath:`${p}/batch_norm_variance`}),{filters:u,batch_norm_scale:f,batch_norm_offset:l,batch_norm_mean:d,batch_norm_variance:g}}function r(m,p,u,f,l){let d=n.tensor4d(o(m*p*u*u),[u,u,m,p]),g=n.tensor1d(o(p));return t.push({paramPath:`${f}/filters`},{paramPath:`${f}/${l?"batch_norm_offset":"bias"}`}),{filters:d,bias:g}}function a(m,p,u,f){let{filters:l,bias:d}=r(m,p,u,f,!0);return{filters:l,batch_norm_offset:d}}function s(m,p,u){let f=e(m,`${u}/depthwise_conv`),l=a(m,p,1,`${u}/pointwise_conv`);return{depthwise_conv:f,pointwise_conv:l}}function i(){let m=a(3,32,3,"mobilenetv1/conv_0"),p=s(32,64,"mobilenetv1/conv_1"),u=s(64,128,"mobilenetv1/conv_2"),f=s(128,128,"mobilenetv1/conv_3"),l=s(128,256,"mobilenetv1/conv_4"),d=s(256,256,"mobilenetv1/conv_5"),g=s(256,512,"mobilenetv1/conv_6"),_=s(512,512,"mobilenetv1/conv_7"),F=s(512,512,"mobilenetv1/conv_8"),h=s(512,512,"mobilenetv1/conv_9"),y=s(512,512,"mobilenetv1/conv_10"),x=s(512,512,"mobilenetv1/conv_11"),D=s(512,1024,"mobilenetv1/conv_12"),N=s(1024,1024,"mobilenetv1/conv_13");return{conv_0:m,conv_1:p,conv_2:u,conv_3:f,conv_4:l,conv_5:d,conv_6:g,conv_7:_,conv_8:F,conv_9:h,conv_10:y,conv_11:x,conv_12:D,conv_13:N}}function c(){let m=a(1024,256,1,"prediction_layer/conv_0"),p=a(256,512,3,"prediction_layer/conv_1"),u=a(512,128,1,"prediction_layer/conv_2"),f=a(128,256,3,"prediction_layer/conv_3"),l=a(256,128,1,"prediction_layer/conv_4"),d=a(128,256,3,"prediction_layer/conv_5"),g=a(256,64,1,"prediction_layer/conv_6"),_=a(64,128,3,"prediction_layer/conv_7"),F=r(512,12,1,"prediction_layer/box_predictor_0/box_encoding_predictor"),h=r(512,9,1,"prediction_layer/box_predictor_0/class_predictor"),y=r(1024,24,1,"prediction_layer/box_predictor_1/box_encoding_predictor"),x=r(1024,18,1,"prediction_layer/box_predictor_1/class_predictor"),D=r(512,24,1,"prediction_layer/box_predictor_2/box_encoding_predictor"),N=r(512,18,1,"prediction_layer/box_predictor_2/class_predictor"),Y=r(256,24,1,"prediction_layer/box_predictor_3/box_encoding_predictor"),q=r(256,18,1,"prediction_layer/box_predictor_3/class_predictor"),O=r(256,24,1,"prediction_layer/box_predictor_4/box_encoding_predictor"),at=r(256,18,1,"prediction_layer/box_predictor_4/class_predictor"),st=r(128,24,1,"prediction_layer/box_predictor_5/box_encoding_predictor"),it=r(128,18,1,"prediction_layer/box_predictor_5/class_predictor");return{conv_0:m,conv_1:p,conv_2:u,conv_3:f,conv_4:l,conv_5:d,conv_6:g,conv_7:_,box_predictor_0:{box_encoding_predictor:F,class_predictor:h},box_predictor_1:{box_encoding_predictor:y,class_predictor:x},box_predictor_2:{box_encoding_predictor:D,class_predictor:N},box_predictor_3:{box_encoding_predictor:Y,class_predictor:q},box_predictor_4:{box_encoding_predictor:O,class_predictor:at},box_predictor_5:{box_encoding_predictor:st,class_predictor:it}}}return{extractMobilenetV1Params:i,extractPredictionLayerParams:c}}function Xr(o){let t=[],{extractWeights:e,getRemainingWeights:r}=A(o),{extractMobilenetV1Params:a,extractPredictionLayerParams:s}=Go(e,t),i=a(),c=s(),p={extra_dim:n.tensor3d(e(5118*4),[1,5118,4])};if(t.push({paramPath:"output_layer/extra_dim"}),r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{params:{mobilenetv1:i,prediction_layer:c,output_layer:p},paramMappings:t}}function jo(o,t){let e=B(o,t);function r(p,u,f){let l=e(`${p}/Conv2d_${u}_pointwise/weights`,4,`${f}/filters`),d=e(`${p}/Conv2d_${u}_pointwise/convolution_bn_offset`,1,`${f}/batch_norm_offset`);return{filters:l,batch_norm_offset:d}}function a(p){let u=`mobilenetv1/conv_${p}`,f=`MobilenetV1/Conv2d_${p}_depthwise`,l=`${u}/depthwise_conv`,d=`${u}/pointwise_conv`,g=e(`${f}/depthwise_weights`,4,`${l}/filters`),_=e(`${f}/BatchNorm/gamma`,1,`${l}/batch_norm_scale`),F=e(`${f}/BatchNorm/beta`,1,`${l}/batch_norm_offset`),h=e(`${f}/BatchNorm/moving_mean`,1,`${l}/batch_norm_mean`),y=e(`${f}/BatchNorm/moving_variance`,1,`${l}/batch_norm_variance`);return{depthwise_conv:{filters:g,batch_norm_scale:_,batch_norm_offset:F,batch_norm_mean:h,batch_norm_variance:y},pointwise_conv:r("MobilenetV1",p,d)}}function s(){return{conv_0:r("MobilenetV1",0,"mobilenetv1/conv_0"),conv_1:a(1),conv_2:a(2),conv_3:a(3),conv_4:a(4),conv_5:a(5),conv_6:a(6),conv_7:a(7),conv_8:a(8),conv_9:a(9),conv_10:a(10),conv_11:a(11),conv_12:a(12),conv_13:a(13)}}function i(p,u){let f=e(`${p}/weights`,4,`${u}/filters`),l=e(`${p}/biases`,1,`${u}/bias`);return{filters:f,bias:l}}function c(p){let u=i(`Prediction/BoxPredictor_${p}/BoxEncodingPredictor`,`prediction_layer/box_predictor_${p}/box_encoding_predictor`),f=i(`Prediction/BoxPredictor_${p}/ClassPredictor`,`prediction_layer/box_predictor_${p}/class_predictor`);return{box_encoding_predictor:u,class_predictor:f}}function m(){return{conv_0:r("Prediction",0,"prediction_layer/conv_0"),conv_1:r("Prediction",1,"prediction_layer/conv_1"),conv_2:r("Prediction",2,"prediction_layer/conv_2"),conv_3:r("Prediction",3,"prediction_layer/conv_3"),conv_4:r("Prediction",4,"prediction_layer/conv_4"),conv_5:r("Prediction",5,"prediction_layer/conv_5"),conv_6:r("Prediction",6,"prediction_layer/conv_6"),conv_7:r("Prediction",7,"prediction_layer/conv_7"),box_predictor_0:c(0),box_predictor_1:c(1),box_predictor_2:c(2),box_predictor_3:c(3),box_predictor_4:c(4),box_predictor_5:c(5)}}return{extractMobilenetV1Params:s,extractPredictionLayerParams:m}}function Jr(o){let t=[],{extractMobilenetV1Params:e,extractPredictionLayerParams:r}=jo(o,t),a=o["Output/extra_dim"];if(t.push({originalPath:"Output/extra_dim",paramPath:"output_layer/extra_dim"}),!K(a))throw new Error(`expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have ${a}`);let s={mobilenetv1:e(),prediction_layer:r(),output_layer:{extra_dim:a}};return L(o,t),{params:s,paramMappings:t}}function H(o,t,e){return n.tidy(()=>{let r=n.conv2d(o,t.filters,e,"same");return r=n.add(r,t.batch_norm_offset),n.clipByValue(r,0,6)})}var Uo=.0010000000474974513;function Xo(o,t,e){return n.tidy(()=>{let r=n.depthwiseConv2d(o,t.filters,e,"same");return r=n.batchNorm(r,t.batch_norm_mean,t.batch_norm_variance,t.batch_norm_offset,t.batch_norm_scale,Uo),n.clipByValue(r,0,6)})}function Jo(o){return[2,4,6,12].some(t=>t===o)?[2,2]:[1,1]}function qr(o,t){return n.tidy(()=>{let e,r=H(o,t.conv_0,[2,2]);if([t.conv_1,t.conv_2,t.conv_3,t.conv_4,t.conv_5,t.conv_6,t.conv_7,t.conv_8,t.conv_9,t.conv_10,t.conv_11,t.conv_12,t.conv_13].forEach((s,i)=>{let c=i+1,m=Jo(c);r=Xo(r,s.depthwise_conv,m),r=H(r,s.pointwise_conv,[1,1]),c===11&&(e=r)}),e===null)throw new Error("mobileNetV1 - output of conv layer 11 is null");return{out:r,conv11:e}})}function qo(o,t,e){let r=o.arraySync(),a=Math.min(r[t][0],r[t][2]),s=Math.min(r[t][1],r[t][3]),i=Math.max(r[t][0],r[t][2]),c=Math.max(r[t][1],r[t][3]),m=Math.min(r[e][0],r[e][2]),p=Math.min(r[e][1],r[e][3]),u=Math.max(r[e][0],r[e][2]),f=Math.max(r[e][1],r[e][3]),l=(i-a)*(c-s),d=(u-m)*(f-p);if(l<=0||d<=0)return 0;let g=Math.max(a,m),_=Math.max(s,p),F=Math.min(i,u),h=Math.min(c,f),y=Math.max(F-g,0)*Math.max(h-_,0);return y/(l+d-y)}function Zr(o,t,e,r,a){let s=o.shape[0],i=Math.min(e,s),c=t.map((u,f)=>({score:u,boxIndex:f})).filter(u=>u.score>a).sort((u,f)=>f.score-u.score),m=u=>u<=r?1:0,p=[];return c.forEach(u=>{if(p.length>=i)return;let f=u.score;for(let l=p.length-1;l>=0;--l){let d=qo(o,u.boxIndex,p[l]);if(d!==0&&(u.score*=m(d),u.score<=a))break}f===u.score&&p.push(u.boxIndex)}),p}function Zo(o){let t=n.unstack(n.transpose(o,[1,0])),e=[n.sub(t[2],t[0]),n.sub(t[3],t[1])],r=[n.add(t[0],n.div(e[0],2)),n.add(t[1],n.div(e[1],2))];return{sizes:e,centers:r}}function Ko(o,t){let{sizes:e,centers:r}=Zo(o),a=n.unstack(n.transpose(t,[1,0])),s=n.div(n.mul(n.exp(n.div(a[2],5)),e[0]),2),i=n.add(n.mul(n.div(a[0],10),e[0]),r[0]),c=n.div(n.mul(n.exp(n.div(a[3],5)),e[1]),2),m=n.add(n.mul(n.div(a[1],10),e[1]),r[1]);return n.transpose(n.stack([n.sub(i,s),n.sub(m,c),n.add(i,s),n.add(m,c)]),[1,0])}function Kr(o,t,e){return n.tidy(()=>{let r=o.shape[0],a=Ko(n.reshape(n.tile(e.extra_dim,[r,1,1]),[-1,4]),n.reshape(o,[-1,4]));a=n.reshape(a,[r,a.shape[0]/r,4]);let s=n.sigmoid(n.slice(t,[0,0,1],[-1,-1,-1])),i=n.slice(s,[0,0,0],[-1,-1,1]);i=n.reshape(i,[r,i.shape[1]]);let c=n.unstack(a),m=n.unstack(i);return{boxes:c,scores:m}})}function Tt(o,t){return n.tidy(()=>{let e=o.shape[0],r=n.reshape(_t(o,t.box_encoding_predictor),[e,-1,1,4]),a=n.reshape(_t(o,t.class_predictor),[e,-1,3]);return{boxPredictionEncoding:r,classPrediction:a}})}function Qr(o,t,e){return n.tidy(()=>{let r=H(o,e.conv_0,[1,1]),a=H(r,e.conv_1,[2,2]),s=H(a,e.conv_2,[1,1]),i=H(s,e.conv_3,[2,2]),c=H(i,e.conv_4,[1,1]),m=H(c,e.conv_5,[2,2]),p=H(m,e.conv_6,[1,1]),u=H(p,e.conv_7,[2,2]),f=Tt(t,e.box_predictor_0),l=Tt(o,e.box_predictor_1),d=Tt(a,e.box_predictor_2),g=Tt(i,e.box_predictor_3),_=Tt(m,e.box_predictor_4),F=Tt(u,e.box_predictor_5),h=n.concat([f.boxPredictionEncoding,l.boxPredictionEncoding,d.boxPredictionEncoding,g.boxPredictionEncoding,_.boxPredictionEncoding,F.boxPredictionEncoding],1),y=n.concat([f.classPrediction,l.classPrediction,d.classPrediction,g.classPrediction,_.classPrediction,F.classPrediction],1);return{boxPredictions:h,classPredictions:y}})}var z=class{constructor({minConfidence:t,maxResults:e}={}){this._name="SsdMobilenetv1Options";if(this._minConfidence=t||.5,this._maxResults=e||100,typeof this._minConfidence!="number"||this._minConfidence<=0||this._minConfidence>=1)throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);if(typeof this._maxResults!="number")throw new Error(`${this._name} - expected maxResults to be a number`)}get minConfidence(){return this._minConfidence}get maxResults(){return this._maxResults}};var Pt=class extends I{constructor(){super("SsdMobilenetv1")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("SsdMobilenetv1 - load model before inference");return n.tidy(()=>{let r=n.cast(t.toBatchTensor(512,!1),"float32"),a=n.sub(n.div(r,127.5),1),s=qr(a,e.mobilenetv1),{boxPredictions:i,classPredictions:c}=Qr(s.out,s.conv11,e.prediction_layer);return Kr(i,c,e.output_layer)})}async forward(t){return this.forwardInput(await M(t))}async locateFaces(t,e={}){let{maxResults:r,minConfidence:a}=new z(e),s=await M(t),{boxes:i,scores:c}=this.forwardInput(s),m=i[0],p=c[0];for(let x=1;x{let[D,N]=[Math.max(0,h[x][0]),Math.min(1,h[x][2])].map(O=>O*F),[Y,q]=[Math.max(0,h[x][1]),Math.min(1,h[x][3])].map(O=>O*_);return new E(u[x],new St(Y,D,q-Y,N-D),{height:s.getInputHeight(0),width:s.getInputWidth(0)})});return m.dispose(),p.dispose(),y}getDefaultModelName(){return"ssd_mobilenetv1_model"}extractParamsFromWeightMap(t){return Jr(t)}extractParams(t){return Xr(t)}};function Qo(o){let t=new Pt;return t.extractWeights(o),t}function vl(o){return Qo(o)}var to=class extends Pt{};var eo=.4,ro=[new b(.738768,.874946),new b(2.42204,2.65704),new b(4.30971,7.04493),new b(10.246,4.59428),new b(12.6868,11.8741)],oo=[new b(1.603231,2.094468),new b(6.041143,7.080126),new b(2.882459,3.518061),new b(4.266906,5.178857),new b(9.041765,10.66308)],no=[117.001,114.697,97.404],ao="tiny_yolov2_model",so="tiny_yolov2_separable_conv_model";var Se=o=>typeof o=="number";function io(o){if(!o)throw new Error(`invalid config: ${o}`);if(typeof o.withSeparableConvs!="boolean")throw new Error(`config.withSeparableConvs has to be a boolean, have: ${o.withSeparableConvs}`);if(!Se(o.iouThreshold)||o.iouThreshold<0||o.iouThreshold>1)throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${o.iouThreshold}`);if(!Array.isArray(o.classes)||!o.classes.length||!o.classes.every(t=>typeof t=="string"))throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(o.classes)}`);if(!Array.isArray(o.anchors)||!o.anchors.length||!o.anchors.map(t=>t||{}).every(t=>Se(t.x)&&Se(t.y)))throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(o.anchors)}`);if(o.meanRgb&&(!Array.isArray(o.meanRgb)||o.meanRgb.length!==3||!o.meanRgb.every(Se)))throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(o.meanRgb)}`)}function Xt(o){return n.tidy(()=>{let t=n.mul(o,n.scalar(.10000000149011612));return n.add(n.relu(n.sub(o,t)),t)})}function ot(o,t){return n.tidy(()=>{let e=n.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=n.conv2d(e,t.conv.filters,[1,1],"valid"),e=n.sub(e,t.bn.sub),e=n.mul(e,t.bn.truediv),e=n.add(e,t.conv.bias),Xt(e)})}function nt(o,t){return n.tidy(()=>{let e=n.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=n.separableConv2d(e,t.depthwise_filter,t.pointwise_filter,[1,1],"valid"),e=n.add(e,t.bias),Xt(e)})}function tn(o,t){let e=$t(o,t);function r(i,c){let m=n.tensor1d(o(i)),p=n.tensor1d(o(i));return t.push({paramPath:`${c}/sub`},{paramPath:`${c}/truediv`}),{sub:m,truediv:p}}function a(i,c,m){let p=e(i,c,3,`${m}/conv`),u=r(c,`${m}/bn`);return{conv:p,bn:u}}let s=Ot(o,t);return{extractConvParams:e,extractConvWithBatchNormParams:a,extractSeparableConvParams:s}}function co(o,t,e,r){let{extractWeights:a,getRemainingWeights:s}=A(o),i=[],{extractConvParams:c,extractConvWithBatchNormParams:m,extractSeparableConvParams:p}=tn(a,i),u;if(t.withSeparableConvs){let[f,l,d,g,_,F,h,y,x]=r,D=t.isFirstLayerConv2d?c(f,l,3,"conv0"):p(f,l,"conv0"),N=p(l,d,"conv1"),Y=p(d,g,"conv2"),q=p(g,_,"conv3"),O=p(_,F,"conv4"),at=p(F,h,"conv5"),st=y?p(h,y,"conv6"):void 0,it=x?p(y,x,"conv7"):void 0,gt=c(x||y||h,5*e,1,"conv8");u={conv0:D,conv1:N,conv2:Y,conv3:q,conv4:O,conv5:at,conv6:st,conv7:it,conv8:gt}}else{let[f,l,d,g,_,F,h,y,x]=r,D=m(f,l,"conv0"),N=m(l,d,"conv1"),Y=m(d,g,"conv2"),q=m(g,_,"conv3"),O=m(_,F,"conv4"),at=m(F,h,"conv5"),st=m(h,y,"conv6"),it=m(y,x,"conv7"),gt=c(x,5*e,1,"conv8");u={conv0:D,conv1:N,conv2:Y,conv3:q,conv4:O,conv5:at,conv6:st,conv7:it,conv8:gt}}if(s().length!==0)throw new Error(`weights remaing after extract: ${s().length}`);return{params:u,paramMappings:i}}function en(o,t){let e=B(o,t);function r(c){let m=e(`${c}/sub`,1),p=e(`${c}/truediv`,1);return{sub:m,truediv:p}}function a(c){let m=e(`${c}/filters`,4),p=e(`${c}/bias`,1);return{filters:m,bias:p}}function s(c){let m=a(`${c}/conv`),p=r(`${c}/bn`);return{conv:m,bn:p}}let i=Ht(e);return{extractConvParams:a,extractConvWithBatchNormParams:s,extractSeparableConvParams:i}}function mo(o,t){let e=[],{extractConvParams:r,extractConvWithBatchNormParams:a,extractSeparableConvParams:s}=en(o,e),i;if(t.withSeparableConvs){let c=t.filterSizes&&t.filterSizes.length||9;i={conv0:t.isFirstLayerConv2d?r("conv0"):s("conv0"),conv1:s("conv1"),conv2:s("conv2"),conv3:s("conv3"),conv4:s("conv4"),conv5:s("conv5"),conv6:c>7?s("conv6"):void 0,conv7:c>8?s("conv7"):void 0,conv8:r("conv8")}}else i={conv0:a("conv0"),conv1:a("conv1"),conv2:a("conv2"),conv3:a("conv3"),conv4:a("conv4"),conv5:a("conv5"),conv6:a("conv6"),conv7:a("conv7"),conv8:r("conv8")};return L(o,e),{params:i,paramMappings:e}}var J=class{constructor({inputSize:t,scoreThreshold:e}={}){this._name="TinyYolov2Options";if(this._inputSize=t||416,this._scoreThreshold=e||.5,typeof this._inputSize!="number"||this._inputSize%32!==0)throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);if(typeof this._scoreThreshold!="number"||this._scoreThreshold<=0||this._scoreThreshold>=1)throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`)}get inputSize(){return this._inputSize}get scoreThreshold(){return this._scoreThreshold}};var cr=class extends I{constructor(e){super("TinyYolov2");io(e),this._config=e}get config(){return this._config}get withClassScores(){return this.config.withClassScores||this.config.classes.length>1}get boxEncodingSize(){return 5+(this.withClassScores?this.config.classes.length:0)}runTinyYolov2(e,r){let a=ot(e,r.conv0);return a=n.maxPool(a,[2,2],[2,2],"same"),a=ot(a,r.conv1),a=n.maxPool(a,[2,2],[2,2],"same"),a=ot(a,r.conv2),a=n.maxPool(a,[2,2],[2,2],"same"),a=ot(a,r.conv3),a=n.maxPool(a,[2,2],[2,2],"same"),a=ot(a,r.conv4),a=n.maxPool(a,[2,2],[2,2],"same"),a=ot(a,r.conv5),a=n.maxPool(a,[2,2],[1,1],"same"),a=ot(a,r.conv6),a=ot(a,r.conv7),_t(a,r.conv8,"valid",!1)}runMobilenet(e,r){let a=this.config.isFirstLayerConv2d?Xt(_t(e,r.conv0,"valid",!1)):nt(e,r.conv0);return a=n.maxPool(a,[2,2],[2,2],"same"),a=nt(a,r.conv1),a=n.maxPool(a,[2,2],[2,2],"same"),a=nt(a,r.conv2),a=n.maxPool(a,[2,2],[2,2],"same"),a=nt(a,r.conv3),a=n.maxPool(a,[2,2],[2,2],"same"),a=nt(a,r.conv4),a=n.maxPool(a,[2,2],[2,2],"same"),a=nt(a,r.conv5),a=n.maxPool(a,[2,2],[1,1],"same"),a=r.conv6?nt(a,r.conv6):a,a=r.conv7?nt(a,r.conv7):a,_t(a,r.conv8,"valid",!1)}forwardInput(e,r){let{params:a}=this;if(!a)throw new Error("TinyYolov2 - load model before inference");return n.tidy(()=>{let s=n.cast(e.toBatchTensor(r,!1),"float32");return s=this.config.meanRgb?X(s,this.config.meanRgb):s,s=s.div(255),this.config.withSeparableConvs?this.runMobilenet(s,a):this.runTinyYolov2(s,a)})}async forward(e,r){return this.forwardInput(await M(e),r)}async detect(e,r={}){let{inputSize:a,scoreThreshold:s}=new J(r),i=await M(e),c=await this.forwardInput(i,a),m=n.tidy(()=>n.unstack(c)[0].expandDims()),p={width:i.getInputWidth(0),height:i.getInputHeight(0)},u=await this.extractBoxes(m,i.getReshapedInputDimensions(0),s);c.dispose(),m.dispose();let f=u.map(h=>h.box),l=u.map(h=>h.score),d=u.map(h=>h.classScore),g=u.map(h=>this.config.classes[h.label]);return gr(f.map(h=>h.rescale(a)),l,this.config.iouThreshold,!0).map(h=>new ct(l[h],d[h],g[h],f[h],p))}getDefaultModelName(){return""}extractParamsFromWeightMap(e){return mo(e,this.config)}extractParams(e){let r=this.config.filterSizes||cr.DEFAULT_FILTER_SIZES,a=r?r.length:void 0;if(a!==7&&a!==8&&a!==9)throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${a} filterSizes in config`);return co(e,this.config,this.boxEncodingSize,r)}async extractBoxes(e,r,a){let{width:s,height:i}=r,c=Math.max(s,i),m=c/s,p=c/i,u=e.shape[1],f=this.config.anchors.length,[l,d,g]=n.tidy(()=>{let y=e.reshape([u,u,f,this.boxEncodingSize]),x=y.slice([0,0,0,0],[u,u,f,4]),D=y.slice([0,0,0,4],[u,u,f,1]),N=this.withClassScores?n.softmax(y.slice([0,0,0,5],[u,u,f,this.config.classes.length]),3):n.scalar(0);return[x,D,N]}),_=[],F=await d.array(),h=await l.array();for(let y=0;ya){let Y=(x+fe(h[y][x][D][0]))/u*m,q=(y+fe(h[y][x][D][1]))/u*p,O=Math.exp(h[y][x][D][2])*this.config.anchors[D].x/u*m,at=Math.exp(h[y][x][D][3])*this.config.anchors[D].y/u*p,st=Y-O/2,it=q-at/2,gt={row:y,col:x,anchor:D},{classScore:pr,label:ur}=this.withClassScores?await this.extractPredictedClass(g,gt):{classScore:1,label:0};_.push({box:new Nt(st,it,st+O,it+at),score:N,classScore:N*pr,label:ur,...gt})}}return l.dispose(),d.dispose(),g.dispose(),_}async extractPredictedClass(e,r){let{row:a,col:s,anchor:i}=r,c=await e.array();return Array(this.config.classes.length).fill(0).map((m,p)=>c[a][s][i][p]).map((m,p)=>({classScore:m,label:p})).reduce((m,p)=>m.classScore>p.classScore?m:p)}},wt=cr;wt.DEFAULT_FILTER_SIZES=[3,16,32,64,128,256,512,1024,1024];var Jt=class extends wt{constructor(t=!0){let e={withSeparableConvs:t,iouThreshold:eo,classes:["face"],...t?{anchors:oo,meanRgb:no}:{anchors:ro,withClassScores:!0}};super(e)}get withSeparableConvs(){return this.config.withSeparableConvs}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(a=>new E(a.score,a.relativeBox,{width:a.imageWidth,height:a.imageHeight}))}getDefaultModelName(){return this.withSeparableConvs?so:ao}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};function pd(o,t=!0){let e=new Jt(t);return e.extractWeights(o),e}var Le=class extends J{constructor(){super(...arguments);this._name="TinyFaceDetectorOptions"}};var V=class{async then(t){return t(await this.run())}async run(){throw new Error("ComposableTask - run is not implemented")}};async function Ft(o,t,e,r,a=({alignedRect:s})=>s){let s=o.map(m=>Yt(m)?a(m):m.detection),i=r||(t instanceof n.Tensor?await oe(t,s):await re(t,s)),c=await e(i);return i.forEach(m=>m instanceof n.Tensor&&m.dispose()),c}async function qt(o,t,e,r,a){return Ft([o],t,async s=>e(s[0]),r,a)}var po=.4,uo=[new b(1.603231,2.094468),new b(6.041143,7.080126),new b(2.882459,3.518061),new b(4.266906,5.178857),new b(9.041765,10.66308)],fo=[117.001,114.697,97.404];var Zt=class extends wt{constructor(){let t={withSeparableConvs:!0,iouThreshold:po,classes:["face"],anchors:uo,meanRgb:fo,isFirstLayerConv2d:!0,filterSizes:[3,16,32,64,128,256,512]};super(t)}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(a=>new E(a.score,a.relativeBox,{width:a.imageWidth,height:a.imageHeight}))}getDefaultModelName(){return"tiny_face_detector_model"}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};var P={ssdMobilenetv1:new Pt,tinyFaceDetector:new Zt,tinyYolov2:new Jt,faceLandmark68Net:new jt,faceLandmark68TinyNet:new Ie,faceRecognitionNet:new Ut,faceExpressionNet:new we,ageGenderNet:new Me},rn=(o,t)=>P.ssdMobilenetv1.locateFaces(o,t),Od=(o,t)=>P.tinyFaceDetector.locateFaces(o,t),Hd=(o,t)=>P.tinyYolov2.locateFaces(o,t),on=o=>P.faceLandmark68Net.detectLandmarks(o),zd=o=>P.faceLandmark68TinyNet.detectLandmarks(o),Vd=o=>P.faceRecognitionNet.computeFaceDescriptor(o),Yd=o=>P.faceExpressionNet.predictExpressions(o),Gd=o=>P.ageGenderNet.predictAgeAndGender(o),nn=o=>P.ssdMobilenetv1.load(o),jd=o=>P.tinyFaceDetector.load(o),Ud=o=>P.tinyYolov2.load(o),Xd=o=>P.faceLandmark68Net.load(o),Jd=o=>P.faceLandmark68TinyNet.load(o),qd=o=>P.faceRecognitionNet.load(o),Zd=o=>P.faceExpressionNet.load(o),Kd=o=>P.ageGenderNet.load(o),Qd=nn,th=rn,eh=on;var Ae=class extends V{constructor(e,r,a){super();this.parentTask=e;this.input=r;this.extractedFaces=a}},Dt=class extends Ae{async run(){let t=await this.parentTask,e=await Ft(t,this.input,async r=>Promise.all(r.map(a=>P.faceExpressionNet.predictExpressions(a))),this.extractedFaces);return t.map((r,a)=>tr(r,e[a]))}withAgeAndGender(){return new Mt(this,this.input)}},Et=class extends Ae{async run(){let t=await this.parentTask;if(!t)return;let e=await qt(t,this.input,r=>P.faceExpressionNet.predictExpressions(r),this.extractedFaces);return tr(t,e)}withAgeAndGender(){return new Ct(this,this.input)}},ut=class extends Dt{withAgeAndGender(){return new lt(this,this.input)}withFaceDescriptors(){return new ht(this,this.input)}},ft=class extends Et{withAgeAndGender(){return new dt(this,this.input)}withFaceDescriptor(){return new bt(this,this.input)}};var We=class extends V{constructor(e,r,a){super();this.parentTask=e;this.input=r;this.extractedFaces=a}},Mt=class extends We{async run(){let t=await this.parentTask,e=await Ft(t,this.input,async r=>Promise.all(r.map(a=>P.ageGenderNet.predictAgeAndGender(a))),this.extractedFaces);return t.map((r,a)=>{let{age:s,gender:i,genderProbability:c}=e[a];return sr(ir(r,i,c),s)})}withFaceExpressions(){return new Dt(this,this.input)}},Ct=class extends We{async run(){let t=await this.parentTask;if(!t)return;let{age:e,gender:r,genderProbability:a}=await qt(t,this.input,s=>P.ageGenderNet.predictAgeAndGender(s),this.extractedFaces);return sr(ir(t,r,a),e)}withFaceExpressions(){return new Et(this,this.input)}},lt=class extends Mt{withFaceExpressions(){return new ut(this,this.input)}withFaceDescriptors(){return new ht(this,this.input)}},dt=class extends Ct{withFaceExpressions(){return new ft(this,this.input)}withFaceDescriptor(){return new bt(this,this.input)}};var ke=class extends V{constructor(e,r){super();this.parentTask=e;this.input=r}},ht=class extends ke{async run(){let t=await this.parentTask;return(await Ft(t,this.input,r=>Promise.all(r.map(a=>P.faceRecognitionNet.computeFaceDescriptor(a))),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}))).map((r,a)=>ar(t[a],r))}withFaceExpressions(){return new ut(this,this.input)}withAgeAndGender(){return new lt(this,this.input)}},bt=class extends ke{async run(){let t=await this.parentTask;if(!t)return;let e=await qt(t,this.input,r=>P.faceRecognitionNet.computeFaceDescriptor(r),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}));return ar(t,e)}withFaceExpressions(){return new ft(this,this.input)}withAgeAndGender(){return new dt(this,this.input)}};var Be=class extends V{constructor(e,r,a){super();this.parentTask=e;this.input=r;this.useTinyLandmarkNet=a}get landmarkNet(){return this.useTinyLandmarkNet?P.faceLandmark68TinyNet:P.faceLandmark68Net}},Re=class extends Be{async run(){let t=await this.parentTask,e=t.map(i=>i.detection),r=this.input instanceof n.Tensor?await oe(this.input,e):await re(this.input,e),a=await Promise.all(r.map(i=>this.landmarkNet.detectLandmarks(i)));return r.forEach(i=>i instanceof n.Tensor&&i.dispose()),t.filter((i,c)=>a[c]).map((i,c)=>ie(i,a[c]))}withFaceExpressions(){return new ut(this,this.input)}withAgeAndGender(){return new lt(this,this.input)}withFaceDescriptors(){return new ht(this,this.input)}},$e=class extends Be{async run(){let t=await this.parentTask;if(!t)return;let{detection:e}=t,r=this.input instanceof n.Tensor?await oe(this.input,[e]):await re(this.input,[e]),a=await this.landmarkNet.detectLandmarks(r[0]);return r.forEach(s=>s instanceof n.Tensor&&s.dispose()),ie(t,a)}withFaceExpressions(){return new ft(this,this.input)}withAgeAndGender(){return new dt(this,this.input)}withFaceDescriptor(){return new bt(this,this.input)}};var Oe=class extends V{constructor(e,r=new z){super();this.input=e;this.options=r}},me=class extends Oe{async run(){let{input:t,options:e}=this,r;if(e instanceof Le)r=P.tinyFaceDetector.locateFaces(t,e);else if(e instanceof z)r=P.ssdMobilenetv1.locateFaces(t,e);else if(e instanceof J)r=P.tinyYolov2.locateFaces(t,e);else throw new Error("detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | TinyYolov2Options");return r}runAndExtendWithFaceDetections(){return new Promise((t,e)=>{this.run().then(r=>t(r.map(a=>At({},a)))).catch(r=>e(r))})}withFaceLandmarks(t=!1){return new Re(this.runAndExtendWithFaceDetections(),this.input,t)}withFaceExpressions(){return new Dt(this.runAndExtendWithFaceDetections(),this.input)}withAgeAndGender(){return new Mt(this.runAndExtendWithFaceDetections(),this.input)}},He=class extends Oe{async run(){let t=await new me(this.input,this.options),e=t[0];return t.forEach(r=>{r.score>e.score&&(e=r)}),e}runAndExtendWithFaceDetection(){return new Promise(async t=>{let e=await this.run();t(e?At({},e):void 0)})}withFaceLandmarks(t=!1){return new $e(this.runAndExtendWithFaceDetection(),this.input,t)}withFaceExpressions(){return new Et(this.runAndExtendWithFaceDetection(),this.input)}withAgeAndGender(){return new Ct(this.runAndExtendWithFaceDetection(),this.input)}};function Kh(o,t=new z){return new He(o,t)}function mr(o,t=new z){return new me(o,t)}async function an(o,t){return mr(o,new z(t?{minConfidence:t}:{})).withFaceLandmarks().withFaceDescriptors()}async function nb(o,t={}){return mr(o,new J(t)).withFaceLandmarks().withFaceDescriptors()}var ab=an;function lo(o,t){if(o.length!==t.length)throw new Error("euclideanDistance: arr1.length !== arr2.length");let e=Array.from(o),r=Array.from(t);return Math.sqrt(e.map((a,s)=>a-r[s]).reduce((a,s)=>a+s*s,0))}var ze=class{constructor(t,e=.6){this._distanceThreshold=e;let r=Array.isArray(t)?t:[t];if(!r.length)throw new Error("FaceRecognizer.constructor - expected atleast one input");let a=1,s=()=>`person ${a++}`;this._labeledDescriptors=r.map(i=>{if(i instanceof Q)return i;if(i instanceof Float32Array)return new Q(s(),[i]);if(i.descriptor&&i.descriptor instanceof Float32Array)return new Q(s(),[i.descriptor]);throw new Error("FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>")})}get labeledDescriptors(){return this._labeledDescriptors}get distanceThreshold(){return this._distanceThreshold}computeMeanDistance(t,e){return e.map(r=>lo(r,t)).reduce((r,a)=>r+a,0)/(e.length||1)}matchDescriptor(t){return this.labeledDescriptors.map(({descriptors:e,label:r})=>new Kt(r,this.computeMeanDistance(t,e))).reduce((e,r)=>e.distancet.toJSON())}}static fromJSON(t){let e=t.labeledDescriptors.map(r=>Q.fromJSON(r));return new ze(e,t.distanceThreshold)}};function Pb(o){let t=new Zt;return t.extractWeights(o),t}function sn(o,t){let{width:e,height:r}=new S(t.width,t.height);if(e<=0||r<=0)throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({width:e,height:r})}`);if(Array.isArray(o))return o.map(a=>sn(a,{width:e,height:r}));if(Yt(o)){let a=o.detection.forSize(e,r),s=o.unshiftedLandmarks.forSize(a.box.width,a.box.height);return ie(At(o,a),s)}return tt(o)?At(o,o.detection.forSize(e,r)):o instanceof $||o instanceof E?o.forSize(e,r):o}var Ab=Wr;export{Me as AgeGenderNet,Nt as BoundingBox,w as Box,V as ComposableTask,ht as ComputeAllFaceDescriptorsTask,ke as ComputeFaceDescriptorsTaskBase,bt as ComputeSingleFaceDescriptorTask,Re as DetectAllFaceLandmarksTask,me as DetectAllFacesTask,Be as DetectFaceLandmarksTaskBase,Oe as DetectFacesTaskBase,$e as DetectSingleFaceLandmarksTask,He as DetectSingleFaceTask,S as Dimensions,Sr as FACE_EXPRESSION_LABELS,E as FaceDetection,to as FaceDetectionNet,we as FaceExpressionNet,pt as FaceExpressions,jt as FaceLandmark68Net,Ie as FaceLandmark68TinyNet,Vr as FaceLandmarkNet,$ as FaceLandmarks,vr as FaceLandmarks5,Lt as FaceLandmarks68,Kt as FaceMatch,ze as FaceMatcher,Ut as FaceRecognitionNet,rr as Gender,Qt as LabeledBox,Q as LabeledFaceDescriptors,rt as NetInput,I as NeuralNetwork,ct as ObjectDetection,b as Point,yr as PredictedBox,St as Rect,Pt as SsdMobilenetv1,z as SsdMobilenetv1Options,Zt as TinyFaceDetector,Le as TinyFaceDetectorOptions,Jt as TinyYolov2,J as TinyYolov2Options,ab as allFaces,an as allFacesSsdMobilenetv1,nb as allFacesTinyYolov2,_r as awaitMediaLoaded,Tr as bufferToImage,Vd as computeFaceDescriptor,Rt as createCanvas,be as createCanvasFromMedia,vl as createFaceDetectionNet,vf as createFaceRecognitionNet,Qo as createSsdMobilenetv1,Pb as createTinyFaceDetector,pd as createTinyYolov2,mr as detectAllFaces,on as detectFaceLandmarks,zd as detectFaceLandmarksTiny,eh as detectLandmarks,Kh as detectSingleFace,Ar as draw,T as env,lo as euclideanDistance,sr as extendWithAge,ar as extendWithFaceDescriptor,At as extendWithFaceDetection,tr as extendWithFaceExpressions,ie as extendWithFaceLandmarks,ir as extendWithGender,oe as extractFaceTensors,re as extractFaces,Mi as fetchImage,Fr as fetchJson,Li as fetchNetWeights,mt as fetchOrThrow,$i as fetchVideo,k as getContext2dOrThrow,Bt as getMediaDimensions,Pr as imageTensorToCanvas,wr as imageToSquare,Vn as inverseSigmoid,hr as iou,Qe as isMediaElement,he as isMediaLoaded,Pf as isWithAge,tt as isWithFaceDetection,Lr as isWithFaceExpressions,Yt as isWithFaceLandmarks,Ef as isWithGender,Kd as loadAgeGenderModel,Qd as loadFaceDetectionModel,Zd as loadFaceExpressionModel,Xd as loadFaceLandmarkModel,Jd as loadFaceLandmarkTinyModel,qd as loadFaceRecognitionModel,nn as loadSsdMobilenetv1Model,jd as loadTinyFaceDetectorModel,Ud as loadTinyYolov2Model,Er as loadWeightMap,th as locateFaces,ji as matchDimensions,br as minBbox,P as nets,gr as nonMaxSuppression,X as normalize,xr as padToSquare,Gd as predictAgeAndGender,Yd as recognizeFaceExpressions,sn as resizeResults,Wt as resolveInput,Hn as shuffleArray,fe as sigmoid,rn as ssdMobilenetv1,n as tf,Od as tinyFaceDetector,Hd as tinyYolov2,M as toNetInput,dr as utils,io as validateConfig,Ab as version}; diff --git a/dist/face-api.esm.js b/dist/face-api.esm.js index 5c7bc9e..217e1c0 100644 --- a/dist/face-api.esm.js +++ b/dist/face-api.esm.js @@ -4,64 +4,65 @@ author: ' */ -var K$=Object.defineProperty;var Ur=(e=>typeof require!="undefined"?require:typeof Proxy!="undefined"?new Proxy(e,{get:(t,n)=>(typeof require!="undefined"?require:t)[n]}):e)(function(e){if(typeof require!="undefined")return require.apply(this,arguments);throw new Error('Dynamic require of "'+e+'" is not supported')});var ty=(e,t)=>{for(var n in t)K$(e,n,{get:t[n],enumerable:!0})};var Oe={};ty(Oe,{Abs:()=>xl,Acos:()=>vl,Acosh:()=>wl,AdadeltaOptimizer:()=>rf,AdagradOptimizer:()=>sf,AdamOptimizer:()=>of,AdamaxOptimizer:()=>lf,Add:()=>ps,AddN:()=>mi,All:()=>kl,Any:()=>Il,ArgMax:()=>fi,ArgMin:()=>ac,Asin:()=>Sl,Asinh:()=>Tl,Atan:()=>Nl,Atan2:()=>_l,Atanh:()=>Cl,AvgPool:()=>gi,AvgPool3D:()=>rc,AvgPool3DGrad:()=>Xh,AvgPoolGrad:()=>Kh,BackendWasm:()=>hA,BatchMatMul:()=>bi,BatchToSpaceND:()=>El,Bincount:()=>Yh,BroadcastArgs:()=>Zh,BroadcastTo:()=>NI,Callback:()=>GN,CallbackList:()=>KT,Cast:()=>yi,Ceil:()=>xi,ClipByValue:()=>cs,Complex:()=>Jh,ComplexAbs:()=>sc,Concat:()=>Al,Conv2D:()=>vi,Conv2DBackpropFilter:()=>Qh,Conv2DBackpropInput:()=>wi,Conv3D:()=>ic,Conv3DBackpropFilterV2:()=>em,Conv3DBackpropInputV2:()=>tm,Cos:()=>ki,Cosh:()=>Ii,CropAndResize:()=>Fl,Cumprod:()=>$l,Cumsum:()=>Si,CustomCallback:()=>YT,DataStorage:()=>Hh,DenseBincount:()=>nm,DepthToSpace:()=>Dl,DepthwiseConv2dNative:()=>Ti,DepthwiseConv2dNativeBackpropFilter:()=>am,DepthwiseConv2dNativeBackpropInput:()=>rm,Diag:()=>sm,Dilation2D:()=>oc,Dilation2DBackpropFilter:()=>gh,Dilation2DBackpropInput:()=>fh,ENV:()=>wx,EarlyStopping:()=>HN,Einsum:()=>im,Elu:()=>Ci,EluGrad:()=>om,Environment:()=>SI,Equal:()=>Ml,Erf:()=>Rl,Exp:()=>_i,ExpandDims:()=>Pl,Expm1:()=>Ol,FFT:()=>lm,Fill:()=>lc,FlipLeftRight:()=>Ll,Floor:()=>Ei,FloorDiv:()=>Ai,FromPixels:()=>bh,FusedBatchNorm:()=>$i,FusedConv2D:()=>Qs,FusedDepthwiseConv2D:()=>ei,GPGPUContext:()=>ph,GatherNd:()=>Bl,GatherV2:()=>zl,GraphModel:()=>y0,Greater:()=>Wl,GreaterEqual:()=>Fi,History:()=>XT,IFFT:()=>um,Identity:()=>Di,Imag:()=>pm,InputSpec:()=>zt,IsFinite:()=>Vl,IsInf:()=>Ul,IsNan:()=>Gl,KernelBackend:()=>nc,LRN:()=>uc,LRNGrad:()=>dm,LayerVariable:()=>WT,LayersModel:()=>Nr,LeakyRelu:()=>Ri,Less:()=>Hl,LessEqual:()=>jl,LinSpace:()=>cm,Log:()=>Mi,Log1p:()=>ql,LogSoftmax:()=>_I,LogicalAnd:()=>Kl,LogicalNot:()=>Xl,LogicalOr:()=>Yl,LogicalXor:()=>CI,LowerBound:()=>LF,MathBackendWebGL:()=>Ff,Max:()=>Pi,MaxPool:()=>Li,MaxPool3D:()=>pc,MaxPool3DGrad:()=>mm,MaxPoolGrad:()=>hm,MaxPoolWithArgmax:()=>fm,Maximum:()=>Oi,Mean:()=>zi,Min:()=>Bi,Minimum:()=>Wi,MirrorPad:()=>Vi,Mod:()=>Zl,MomentumOptimizer:()=>uf,Multinomial:()=>gm,Multiply:()=>Ui,Neg:()=>Jl,NonMaxSuppressionV3:()=>eu,NonMaxSuppressionV4:()=>tu,NonMaxSuppressionV5:()=>nu,NotEqual:()=>Ql,OP_SCOPE_SUFFIX:()=>Tx,OneHot:()=>Gi,OnesLike:()=>au,Optimizer:()=>Ar,OptimizerConstructors:()=>Gr,Pack:()=>ru,PadV2:()=>Hi,Pool:()=>zF,Pow:()=>ji,Prelu:()=>qi,Prod:()=>Ki,RMSPropOptimizer:()=>pf,RNN:()=>cr,RaggedGather:()=>bm,RaggedTensorToTensor:()=>ym,Range:()=>cc,Rank:()=>xy,Real:()=>xm,RealDiv:()=>Ni,Reciprocal:()=>su,Reduction:()=>xn,Relu:()=>Xi,Relu6:()=>Ji,Reshape:()=>iu,ResizeBilinear:()=>Zi,ResizeBilinearGrad:()=>wm,ResizeNearestNeighbor:()=>Yi,ResizeNearestNeighborGrad:()=>vm,Reverse:()=>Qi,RotateWithOffset:()=>ku,Round:()=>eo,Rsqrt:()=>to,SGDOptimizer:()=>zc,ScatterNd:()=>ou,SearchSorted:()=>km,Select:()=>lu,Selu:()=>uu,Sequential:()=>cl,Sigmoid:()=>ao,Sign:()=>du,Sin:()=>no,Sinh:()=>cu,Slice:()=>pu,Softmax:()=>io,Softplus:()=>hu,SpaceToBatchND:()=>mu,SparseFillEmptyRows:()=>dc,SparseReshape:()=>gu,SparseSegmentMean:()=>hc,SparseSegmentSum:()=>mc,SparseToDense:()=>Im,SplitV:()=>fu,Sqrt:()=>ro,Square:()=>fc,SquaredDifference:()=>oo,Step:()=>hs,StridedSlice:()=>bu,StringNGrams:()=>gc,StringSplit:()=>bc,StringToHashBucketFast:()=>yc,Sub:()=>lo,Sum:()=>so,SymbolicTensor:()=>za,Tan:()=>uo,Tanh:()=>po,Tensor:()=>Te,TensorBuffer:()=>Ht,Tile:()=>ds,TopK:()=>yu,Transform:()=>xu,Transpose:()=>Tr,Unique:()=>Sm,Unpack:()=>vu,UnsortedSegmentSum:()=>xc,UpperBound:()=>BF,Variable:()=>es,ZerosLike:()=>wu,_FusedMatMul:()=>Js,abs:()=>Lt,acos:()=>zx,acosh:()=>Bx,add:()=>Y,addN:()=>xS,all:()=>Em,any:()=>Gp,argMax:()=>ai,argMin:()=>Wx,asin:()=>Vx,asinh:()=>Ux,atan:()=>Gx,atan2:()=>Hx,atanh:()=>jx,avgPool:()=>fa,avgPool3d:()=>Kx,backend:()=>tS,backend_util:()=>N,basicLSTMCell:()=>IS,batchNorm:()=>gs,batchNorm2d:()=>Xx,batchNorm3d:()=>Yx,batchNorm4d:()=>Zx,batchToSpaceND:()=>_c,bincount:()=>Jx,booleanMaskAsync:()=>sT,broadcastArgs:()=>SS,broadcastTo:()=>Ks,broadcast_util:()=>Iu,browser:()=>co,buffer:()=>Pe,callbacks:()=>sH,cast:()=>oe,ceil:()=>Qx,clipByValue:()=>Qt,clone:()=>ar,complex:()=>Cr,concat:()=>Ze,concat1d:()=>ev,concat2d:()=>tv,concat3d:()=>nv,concat4d:()=>av,constraints:()=>GT,conv1d:()=>Am,conv2d:()=>$t,conv2dTranspose:()=>$m,conv3d:()=>sv,conv3dTranspose:()=>iv,copyRegisteredKernels:()=>GF,cos:()=>Ec,cosh:()=>Fm,cosineWindow:()=>Qm,cumprod:()=>Hp,cumsum:()=>Dm,customGrad:()=>ir,data:()=>f2,denseBincount:()=>NS,deprecationWarn:()=>Fx,depthToSpace:()=>ov,depthwiseConv2d:()=>bs,deregisterOp:()=>lH,device_util:()=>Ic,diag:()=>CS,dilation2d:()=>lv,disableDeprecationWarnings:()=>yR,dispose:()=>$e,disposeVariables:()=>xR,div:()=>he,divNoNan:()=>uv,dot:()=>pv,dropout:()=>Ov,einsum:()=>_S,elu:()=>Su,enableDebugMode:()=>bR,enableProdMode:()=>gR,enclosingPowerOfTwo:()=>Lv,engine:()=>Ja,env:()=>H,equal:()=>Jn,erf:()=>cv,euclideanNorm:()=>mv,exp:()=>fn,expandDims:()=>hn,expm1:()=>fv,eye:()=>Rm,fft:()=>Oc,fill:()=>gn,findBackend:()=>NR,findBackendFactory:()=>CR,floor:()=>Nu,floorDiv:()=>_m,forceHalfFloat:()=>D_,fused:()=>ll,gather:()=>Cu,gatherND:()=>uT,gather_util:()=>Dx,getBackend:()=>SR,getGradient:()=>by,getKernel:()=>yh,getKernelsForBackend:()=>xh,getThreadsCount:()=>Yue,gpgpu_util:()=>c_,grad:()=>ZP,grads:()=>JP,greater:()=>Vn,greaterEqual:()=>ys,ifft:()=>ol,imag:()=>Tc,image:()=>Ir,inTopKAsync:()=>pT,initializers:()=>HT,input:()=>pN,io:()=>Ut,irfft:()=>Xm,isFinite:()=>gv,isInf:()=>bv,isNaN:()=>yv,keep:()=>Zt,kernel_impls:()=>pr,layers:()=>jT,leakyRelu:()=>Ac,less:()=>Mm,lessEqual:()=>xs,linalg:()=>Wv,linspace:()=>DS,loadGraphModel:()=>c6,loadGraphModelSync:()=>d6,loadLayersModel:()=>mU,localResponseNormalization:()=>xv,log:()=>Qn,log1p:()=>$c,logSigmoid:()=>vv,logSoftmax:()=>Om,logSumExp:()=>Lm,logicalAnd:()=>_a,logicalNot:()=>Fc,logicalOr:()=>zm,logicalXor:()=>wv,losses:()=>kT,lowerBound:()=>MS,matMul:()=>Ae,math:()=>eS,max:()=>Na,maxPool:()=>Dt,maxPool3d:()=>kv,maxPoolWithArgmax:()=>PS,maximum:()=>ur,mean:()=>Nt,memory:()=>kh,meshgrid:()=>OS,metrics:()=>WN,min:()=>jp,minimum:()=>_u,mirrorPad:()=>Iv,mod:()=>Sv,model:()=>dU,models:()=>VN,moments:()=>Dc,movingAverage:()=>iT,mul:()=>z,multiRNNCell:()=>LS,multinomial:()=>zS,neg:()=>yt,nextFrame:()=>Vv,norm:()=>Tu,notEqual:()=>ii,oneHot:()=>al,ones:()=>Yn,onesLike:()=>ea,op:()=>L,outerProduct:()=>BS,pad:()=>ga,pad1d:()=>WS,pad2d:()=>VS,pad3d:()=>US,pad4d:()=>GS,pool:()=>Tv,pow:()=>_r,prelu:()=>Mc,print:()=>Ex,prod:()=>Nv,profile:()=>vR,raggedGather:()=>HS,raggedTensorToTensor:()=>jS,rand:()=>qS,randomGamma:()=>KS,randomNormal:()=>Wm,randomStandardNormal:()=>XS,randomUniform:()=>Eu,range:()=>sl,ready:()=>IR,real:()=>rl,reciprocal:()=>Ev,registerBackend:()=>Cm,registerCallbackConstructor:()=>fU,registerGradient:()=>EI,registerKernel:()=>vc,registerOp:()=>oH,regularizers:()=>UN,relu:()=>Xe,relu6:()=>Vm,removeBackend:()=>TR,reshape:()=>B,reverse:()=>ma,reverse1d:()=>YS,reverse2d:()=>ZS,reverse3d:()=>JS,reverse4d:()=>QS,rfft:()=>Lc,round:()=>Um,rsqrt:()=>Gm,scalar:()=>ye,scatterND:()=>oT,scatter_util:()=>Rx,searchSorted:()=>Bm,selu:()=>Hm,separableConv2d:()=>vs,sequential:()=>hU,serialization:()=>ne,setBackend:()=>kR,setPlatform:()=>_R,setThreadsCount:()=>Xue,setWasmPath:()=>que,setWasmPaths:()=>Kue,setWebGLContext:()=>MC,setdiff1dAsync:()=>eT,sigmoid:()=>da,sign:()=>Av,signal:()=>wT,sin:()=>jm,sinh:()=>qm,slice:()=>We,slice1d:()=>Pc,slice2d:()=>Km,slice3d:()=>mo,slice4d:()=>il,slice_util:()=>jt,softmax:()=>ja,softplus:()=>ho,spaceToBatchND:()=>Rc,sparse:()=>IT,sparseToDense:()=>lT,spectral:()=>vT,split:()=>Ln,sqrt:()=>on,square:()=>ot,squaredDifference:()=>Ym,squeeze:()=>ws,stack:()=>Ft,step:()=>fo,stridedSlice:()=>$v,string:()=>ST,sub:()=>pe,sum:()=>fe,sumOutType:()=>Nm,tan:()=>Fv,tanh:()=>ri,tensor:()=>On,tensor1d:()=>Ke,tensor2d:()=>Ca,tensor3d:()=>Nc,tensor4d:()=>Aa,tensor5d:()=>tT,tensor6d:()=>nT,tensor_util:()=>Ba,test_util:()=>gS,tidy:()=>P,tile:()=>Pn,time:()=>wR,topk:()=>Dv,train:()=>zs,transpose:()=>Ce,truncatedNormal:()=>Zm,unique:()=>Rv,unregisterGradient:()=>UF,unregisterKernel:()=>VF,unsortedSegmentSum:()=>Jm,unstack:()=>ct,upcastType:()=>ha,upperBound:()=>aT,util:()=>v,valueAndGrad:()=>QP,valueAndGrads:()=>eO,variable:()=>Mv,variableGrads:()=>RS,version:()=>ope,version_converter:()=>m6,version_core:()=>iM,version_layers:()=>pw,version_wasm:()=>Zue,version_webgl:()=>VZ,webgl:()=>UZ,webgl_util:()=>RC,where:()=>mn,whereAsync:()=>Pv,zeros:()=>It,zerosLike:()=>je});var X$=Object.create,gx=Object.defineProperty,Y$=Object.getOwnPropertyDescriptor,Z$=Object.getOwnPropertyNames,J$=Object.getPrototypeOf,Q$=Object.prototype.hasOwnProperty,dI=(e=>typeof Ur!="undefined"?Ur:typeof Proxy!="undefined"?new Proxy(e,{get:(t,n)=>(typeof Ur!="undefined"?Ur:t)[n]}):e)(function(e){if(typeof Ur!="undefined")return Ur.apply(this,arguments);throw new Error('Dynamic require of "'+e+'" is not supported')}),Wt=(e,t)=>()=>(t||e((t={exports:{}}).exports,t),t.exports),_e=(e,t)=>{for(var n in t)gx(e,n,{get:t[n],enumerable:!0})},eF=(e,t,n,a)=>{if(t&&typeof t=="object"||typeof t=="function")for(let r of Z$(t))!Q$.call(e,r)&&r!==n&&gx(e,r,{get:()=>t[r],enumerable:!(a=Y$(t,r))||a.enumerable});return e},ls=(e,t,n)=>(n=e!=null?X$(J$(e)):{},eF(t||!e||!e.__esModule?gx(n,"default",{value:e,enumerable:!0}):n,e)),tF=Wt((e,t)=>{t.exports=a;var n=null;try{n=new WebAssembly.Instance(new WebAssembly.Module(new Uint8Array([0,97,115,109,1,0,0,0,1,13,2,96,0,1,127,96,4,127,127,127,127,1,127,3,7,6,0,1,1,1,1,1,6,6,1,127,1,65,0,11,7,50,6,3,109,117,108,0,1,5,100,105,118,95,115,0,2,5,100,105,118,95,117,0,3,5,114,101,109,95,115,0,4,5,114,101,109,95,117,0,5,8,103,101,116,95,104,105,103,104,0,0,10,191,1,6,4,0,35,0,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,126,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,127,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,128,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,129,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,130,34,4,66,32,135,167,36,0,32,4,167,11])),{}).exports}catch(S){}function a(S,M,W){this.low=S|0,this.high=M|0,this.unsigned=!!W}a.prototype.__isLong__,Object.defineProperty(a.prototype,"__isLong__",{value:!0});function r(S){return(S&&S.__isLong__)===!0}a.isLong=r;var s={},i={};function o(S,M){var W,U,G;return M?(S>>>=0,(G=0<=S&&S<256)&&(U=i[S],U)?U:(W=u(S,(S|0)<0?-1:0,!0),G&&(i[S]=W),W)):(S|=0,(G=-128<=S&&S<128)&&(U=s[S],U)?U:(W=u(S,S<0?-1:0,!1),G&&(s[S]=W),W))}a.fromInt=o;function l(S,M){if(isNaN(S))return M?w:x;if(M){if(S<0)return w;if(S>=g)return A}else{if(S<=-b)return R;if(S+1>=b)return E}return S<0?l(-S,M).neg():u(S%f|0,S/f|0,M)}a.fromNumber=l;function u(S,M,W){return new a(S,M,W)}a.fromBits=u;var p=Math.pow;function d(S,M,W){if(S.length===0)throw Error("empty string");if(S==="NaN"||S==="Infinity"||S==="+Infinity"||S==="-Infinity")return x;if(typeof M=="number"?(W=M,M=!1):M=!!M,W=W||10,W<2||360)throw Error("interior hyphen");if(U===0)return d(S.substring(1),M,W).neg();for(var G=l(p(W,8)),q=x,K=0;K>>0:this.low},F.toNumber=function(){return this.unsigned?(this.high>>>0)*f+(this.low>>>0):this.high*f+(this.low>>>0)},F.toString=function(S){if(S=S||10,S<2||36>>0,ee=Q.toString(S);if(q=Z,q.isZero())return ee+K;for(;ee.length<6;)ee="0"+ee;K=""+ee+K}},F.getHighBits=function(){return this.high},F.getHighBitsUnsigned=function(){return this.high>>>0},F.getLowBits=function(){return this.low},F.getLowBitsUnsigned=function(){return this.low>>>0},F.getNumBitsAbs=function(){if(this.isNegative())return this.eq(R)?64:this.neg().getNumBitsAbs();for(var S=this.high!=0?this.high:this.low,M=31;M>0&&(S&1<=0},F.isOdd=function(){return(this.low&1)===1},F.isEven=function(){return(this.low&1)===0},F.equals=function(S){return r(S)||(S=c(S)),this.unsigned!==S.unsigned&&this.high>>>31===1&&S.high>>>31===1?!1:this.high===S.high&&this.low===S.low},F.eq=F.equals,F.notEquals=function(S){return!this.eq(S)},F.neq=F.notEquals,F.ne=F.notEquals,F.lessThan=function(S){return this.comp(S)<0},F.lt=F.lessThan,F.lessThanOrEqual=function(S){return this.comp(S)<=0},F.lte=F.lessThanOrEqual,F.le=F.lessThanOrEqual,F.greaterThan=function(S){return this.comp(S)>0},F.gt=F.greaterThan,F.greaterThanOrEqual=function(S){return this.comp(S)>=0},F.gte=F.greaterThanOrEqual,F.ge=F.greaterThanOrEqual,F.compare=function(S){if(r(S)||(S=c(S)),this.eq(S))return 0;var M=this.isNegative(),W=S.isNegative();return M&&!W?-1:!M&&W?1:this.unsigned?S.high>>>0>this.high>>>0||S.high===this.high&&S.low>>>0>this.low>>>0?-1:1:this.sub(S).isNegative()?-1:1},F.comp=F.compare,F.negate=function(){return!this.unsigned&&this.eq(R)?R:this.not().add(I)},F.neg=F.negate,F.add=function(S){r(S)||(S=c(S));var M=this.high>>>16,W=this.high&65535,U=this.low>>>16,G=this.low&65535,q=S.high>>>16,K=S.high&65535,Z=S.low>>>16,Q=S.low&65535,ee=0,ae=0,te=0,le=0;return le+=G+Q,te+=le>>>16,le&=65535,te+=U+Z,ae+=te>>>16,te&=65535,ae+=W+K,ee+=ae>>>16,ae&=65535,ee+=M+q,ee&=65535,u(te<<16|le,ee<<16|ae,this.unsigned)},F.subtract=function(S){return r(S)||(S=c(S)),this.add(S.neg())},F.sub=F.subtract,F.multiply=function(S){if(this.isZero())return x;if(r(S)||(S=c(S)),n){var M=n.mul(this.low,this.high,S.low,S.high);return u(M,n.get_high(),this.unsigned)}if(S.isZero())return x;if(this.eq(R))return S.isOdd()?R:x;if(S.eq(R))return this.isOdd()?R:x;if(this.isNegative())return S.isNegative()?this.neg().mul(S.neg()):this.neg().mul(S).neg();if(S.isNegative())return this.mul(S.neg()).neg();if(this.lt(y)&&S.lt(y))return l(this.toNumber()*S.toNumber(),this.unsigned);var W=this.high>>>16,U=this.high&65535,G=this.low>>>16,q=this.low&65535,K=S.high>>>16,Z=S.high&65535,Q=S.low>>>16,ee=S.low&65535,ae=0,te=0,le=0,ie=0;return ie+=q*ee,le+=ie>>>16,ie&=65535,le+=G*ee,te+=le>>>16,le&=65535,le+=q*Q,te+=le>>>16,le&=65535,te+=U*ee,ae+=te>>>16,te&=65535,te+=G*Q,ae+=te>>>16,te&=65535,te+=q*Z,ae+=te>>>16,te&=65535,ae+=W*ee+U*Q+G*Z+q*K,ae&=65535,u(le<<16|ie,ae<<16|te,this.unsigned)},F.mul=F.multiply,F.divide=function(S){if(r(S)||(S=c(S)),S.isZero())throw Error("division by zero");if(n){if(!this.unsigned&&this.high===-2147483648&&S.low===-1&&S.high===-1)return this;var M=(this.unsigned?n.div_u:n.div_s)(this.low,this.high,S.low,S.high);return u(M,n.get_high(),this.unsigned)}if(this.isZero())return this.unsigned?w:x;var W,U,G;if(this.unsigned){if(S.unsigned||(S=S.toUnsigned()),S.gt(this))return w;if(S.gt(this.shru(1)))return T;G=w}else{if(this.eq(R)){if(S.eq(I)||S.eq(C))return R;if(S.eq(R))return I;var q=this.shr(1);return W=q.div(S).shl(1),W.eq(x)?S.isNegative()?I:C:(U=this.sub(S.mul(W)),G=W.add(U.div(S)),G)}else if(S.eq(R))return this.unsigned?w:x;if(this.isNegative())return S.isNegative()?this.neg().div(S.neg()):this.neg().div(S).neg();if(S.isNegative())return this.div(S.neg()).neg();G=x}for(U=this;U.gte(S);){W=Math.max(1,Math.floor(U.toNumber()/S.toNumber()));for(var K=Math.ceil(Math.log(W)/Math.LN2),Z=K<=48?1:p(2,K-48),Q=l(W),ee=Q.mul(S);ee.isNegative()||ee.gt(U);)W-=Z,Q=l(W,this.unsigned),ee=Q.mul(S);Q.isZero()&&(Q=I),G=G.add(Q),U=U.sub(ee)}return G},F.div=F.divide,F.modulo=function(S){if(r(S)||(S=c(S)),n){var M=(this.unsigned?n.rem_u:n.rem_s)(this.low,this.high,S.low,S.high);return u(M,n.get_high(),this.unsigned)}return this.sub(this.div(S).mul(S))},F.mod=F.modulo,F.rem=F.modulo,F.not=function(){return u(~this.low,~this.high,this.unsigned)},F.and=function(S){return r(S)||(S=c(S)),u(this.low&S.low,this.high&S.high,this.unsigned)},F.or=function(S){return r(S)||(S=c(S)),u(this.low|S.low,this.high|S.high,this.unsigned)},F.xor=function(S){return r(S)||(S=c(S)),u(this.low^S.low,this.high^S.high,this.unsigned)},F.shiftLeft=function(S){return r(S)&&(S=S.toInt()),(S&=63)===0?this:S<32?u(this.low<>>32-S,this.unsigned):u(0,this.low<>>S|this.high<<32-S,this.high>>S,this.unsigned):u(this.high>>S-32,this.high>=0?0:-1,this.unsigned)},F.shr=F.shiftRight,F.shiftRightUnsigned=function(S){if(r(S)&&(S=S.toInt()),S&=63,S===0)return this;var M=this.high;if(S<32){var W=this.low;return u(W>>>S|M<<32-S,M>>>S,this.unsigned)}else return S===32?u(M,0,this.unsigned):u(M>>>S-32,0,this.unsigned)},F.shru=F.shiftRightUnsigned,F.shr_u=F.shiftRightUnsigned,F.toSigned=function(){return this.unsigned?u(this.low,this.high,!1):this},F.toUnsigned=function(){return this.unsigned?this:u(this.low,this.high,!0)},F.toBytes=function(S){return S?this.toBytesLE():this.toBytesBE()},F.toBytesLE=function(){var S=this.high,M=this.low;return[M&255,M>>>8&255,M>>>16&255,M>>>24,S&255,S>>>8&255,S>>>16&255,S>>>24]},F.toBytesBE=function(){var S=this.high,M=this.low;return[S>>>24,S>>>16&255,S>>>8&255,S&255,M>>>24,M>>>16&255,M>>>8&255,M&255]},a.fromBytes=function(S,M,W){return W?a.fromBytesLE(S,M):a.fromBytesBE(S,M)},a.fromBytesLE=function(S,M){return new a(S[0]|S[1]<<8|S[2]<<16|S[3]<<24,S[4]|S[5]<<8|S[6]<<16|S[7]<<24,M)},a.fromBytesBE=function(S,M){return new a(S[4]<<24|S[5]<<16|S[6]<<8|S[7],S[0]<<24|S[1]<<16|S[2]<<8|S[3],M)}}),nF=Wt(()=>{}),aF=Wt(()=>{}),rF=Wt((e,t)=>{(function(n,a,r){function s(u){var p=this,d=l();p.next=function(){var c=2091639*p.s0+p.c*23283064365386963e-26;return p.s0=p.s1,p.s1=p.s2,p.s2=c-(p.c=c|0)},p.c=1,p.s0=d(" "),p.s1=d(" "),p.s2=d(" "),p.s0-=d(u),p.s0<0&&(p.s0+=1),p.s1-=d(u),p.s1<0&&(p.s1+=1),p.s2-=d(u),p.s2<0&&(p.s2+=1),d=null}function i(u,p){return p.c=u.c,p.s0=u.s0,p.s1=u.s1,p.s2=u.s2,p}function o(u,p){var d=new s(u),c=p&&p.state,h=d.next;return h.int32=function(){return d.next()*4294967296|0},h.double=function(){return h()+(h()*2097152|0)*11102230246251565e-32},h.quick=h,c&&(typeof c=="object"&&i(c,d),h.state=function(){return i(d,{})}),h}function l(){var u=4022871197,p=function(d){d=String(d);for(var c=0;c>>0,h-=u,h*=u,u=h>>>0,h-=u,u+=h*4294967296}return(u>>>0)*23283064365386963e-26};return p}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.alea=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),sF=Wt((e,t)=>{(function(n,a,r){function s(l){var u=this,p="";u.x=0,u.y=0,u.z=0,u.w=0,u.next=function(){var c=u.x^u.x<<11;return u.x=u.y,u.y=u.z,u.z=u.w,u.w^=u.w>>>19^c^c>>>8},l===(l|0)?u.x=l:p+=l;for(var d=0;d>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(typeof d=="object"&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xor128=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),iF=Wt((e,t)=>{(function(n,a,r){function s(l){var u=this,p="";u.next=function(){var c=u.x^u.x>>>2;return u.x=u.y,u.y=u.z,u.z=u.w,u.w=u.v,(u.d=u.d+362437|0)+(u.v=u.v^u.v<<4^(c^c<<1))|0},u.x=0,u.y=0,u.z=0,u.w=0,u.v=0,l===(l|0)?u.x=l:p+=l;for(var d=0;d>>4),u.next()}function i(l,u){return u.x=l.x,u.y=l.y,u.z=l.z,u.w=l.w,u.v=l.v,u.d=l.d,u}function o(l,u){var p=new s(l),d=u&&u.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(typeof d=="object"&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xorwow=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),oF=Wt((e,t)=>{(function(n,a,r){function s(l){var u=this;u.next=function(){var d=u.x,c=u.i,h,m,f;return h=d[c],h^=h>>>7,m=h^h<<24,h=d[c+1&7],m^=h^h>>>10,h=d[c+3&7],m^=h^h>>>3,h=d[c+4&7],m^=h^h<<7,h=d[c+7&7],h=h^h<<13,m^=h^h<<9,d[c]=m,u.i=c+1&7,m};function p(d,c){var h,m,f=[];if(c===(c|0))m=f[0]=c;else for(c=""+c,h=0;h0;--h)d.next()}p(u,l)}function i(l,u){return u.x=l.x.slice(),u.i=l.i,u}function o(l,u){l==null&&(l=+new Date);var p=new s(l),d=u&&u.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(d.x&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xorshift7=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),lF=Wt((e,t)=>{(function(n,a,r){function s(l){var u=this;u.next=function(){var d=u.w,c=u.X,h=u.i,m,f;return u.w=d=d+1640531527|0,f=c[h+34&127],m=c[h=h+1&127],f^=f<<13,m^=m<<17,f^=f>>>15,m^=m>>>12,f=c[h]=f^m,u.i=h,f+(d^d>>>16)|0};function p(d,c){var h,m,f,g,b,y=[],x=128;for(c===(c|0)?(m=c,c=null):(c=c+"\0",m=0,x=Math.max(x,c.length)),f=0,g=-32;g>>15,m^=m<<4,m^=m>>>13,g>=0&&(b=b+1640531527|0,h=y[g&127]^=m+b,f=h==0?f+1:0);for(f>=128&&(y[(c&&c.length||0)&127]=-1),f=127,g=4*128;g>0;--g)m=y[f+34&127],h=y[f=f+1&127],m^=m<<13,h^=h<<17,m^=m>>>15,h^=h>>>12,y[f]=m^h;d.w=b,d.X=y,d.i=f}p(u,l)}function i(l,u){return u.i=l.i,u.w=l.w,u.X=l.X.slice(),u}function o(l,u){l==null&&(l=+new Date);var p=new s(l),d=u&&u.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(d.X&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xor4096=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),uF=Wt((e,t)=>{(function(n,a,r){function s(l){var u=this,p="";u.next=function(){var c=u.b,h=u.c,m=u.d,f=u.a;return c=c<<25^c>>>7^h,h=h-m|0,m=m<<24^m>>>8^f,f=f-c|0,u.b=c=c<<20^c>>>12^h,u.c=h=h-m|0,u.d=m<<16^h>>>16^f,u.a=f-c|0},u.a=0,u.b=0,u.c=-1640531527,u.d=1367130551,l===Math.floor(l)?(u.a=l/4294967296|0,u.b=l|0):p+=l;for(var d=0;d>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(typeof d=="object"&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.tychei=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),pF=Wt(()=>{}),cF=Wt((e,t)=>{(function(n,a,r){var s=256,i=6,o=52,l="random",u=r.pow(s,i),p=r.pow(2,o),d=p*2,c=s-1,h;function m(I,T,C){var E=[];T=T==!0?{entropy:!0}:T||{};var A=y(b(T.entropy?[I,w(a)]:I==null?x():I,3),E),R=new f(E),F=function(){for(var S=R.g(i),M=u,W=0;S=d;)S/=2,M/=2,W>>>=1;return(S+W)/M};return F.int32=function(){return R.g(4)|0},F.quick=function(){return R.g(4)/4294967296},F.double=F,y(w(R.S),a),(T.pass||C||function(S,M,W,U){return U&&(U.S&&g(U,R),S.state=function(){return g(R,{})}),W?(r[l]=S,M):S})(F,A,"global"in T?T.global:this==r,T.state)}function f(I){var T,C=I.length,E=this,A=0,R=E.i=E.j=0,F=E.S=[];for(C||(I=[C++]);A{var n=rF(),a=sF(),r=iF(),s=oF(),i=lF(),o=uF(),l=cF();l.alea=n,l.xor128=a,l.xorwow=r,l.xorshift7=s,l.xor4096=i,l.tychei=o,t.exports=l}),hI=Wt(()=>{}),bx=Wt(()=>{}),dh=Wt(()=>{}),dF=Wt(()=>{}),hF=Wt(()=>{}),mF=Wt(()=>{}),fF=Wt((e,t)=>{var n=(()=>{var a=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(a=a||__filename),function(r){r=r||{};function s(){return ue.buffer!=ze&&it(ue.buffer),dt}function i(){return ue.buffer!=ze&&it(ue.buffer),Hn}function o(){return ue.buffer!=ze&&it(ue.buffer),Mt}function l(){return ue.buffer!=ze&&it(ue.buffer),rn}function u(){return ue.buffer!=ze&&it(ue.buffer),An}function p(){return ue.buffer!=ze&&it(ue.buffer),sa}function d(){return ue.buffer!=ze&&it(ue.buffer),$n}var c=typeof r!="undefined"?r:{},h,m;c.ready=new Promise(function(D,j){h=D,m=j});var f;typeof process!="undefined"&&process.listeners&&(f={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var g=Object.assign({},c),b=[],y="./this.program",x=(D,j)=>{throw j},w=typeof window=="object",I=typeof importScripts=="function",T=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",C=c.ENVIRONMENT_IS_PTHREAD||!1,E="";function A(D){return c.locateFile?c.locateFile(D,E):E+D}var R,F,S,M;function W(D){D instanceof Rs||Q("exiting due to exception: "+D)}if(T){I?E=dh().dirname(E)+"/":E=__dirname+"/";var U,G;typeof dI=="function"&&(U=bx(),G=dh()),R=(j,re)=>(j=G.normalize(j),U.readFileSync(j,re?void 0:"utf8")),S=j=>{var re=R(j,!0);return re.buffer||(re=new Uint8Array(re)),re},F=(j,re,ce)=>{j=G.normalize(j),U.readFile(j,function(ke,He){ke?ce(ke):re(He.buffer)})},process.argv.length>1&&(y=process.argv[1].replace(/\\/g,"/")),b=process.argv.slice(2),process.on("uncaughtException",function(j){if(!(j instanceof Rs))throw j}),process.on("unhandledRejection",function(j){throw j}),x=(j,re)=>{if(va())throw process.exitCode=j,re;W(re),process.exit(j)},c.inspect=function(){return"[Emscripten Module object]"};let D;try{D=dF()}catch(j){throw console.error('The "worker_threads" module is not supported in this node.js build - perhaps a newer version is needed?'),j}global.Worker=D.Worker}else(w||I)&&(I?E=self.location.href:typeof document!="undefined"&&document.currentScript&&(E=document.currentScript.src),typeof a!="undefined"&&a&&(E=a),E.indexOf("blob:")!==0?E=E.substr(0,E.replace(/[?#].*/,"").lastIndexOf("/")+1):E="",T||(R=D=>{var j=new XMLHttpRequest;return j.open("GET",D,!1),j.send(null),j.responseText},I&&(S=D=>{var j=new XMLHttpRequest;return j.open("GET",D,!1),j.responseType="arraybuffer",j.send(null),new Uint8Array(j.response)}),F=(D,j,re)=>{var ce=new XMLHttpRequest;ce.open("GET",D,!0),ce.responseType="arraybuffer",ce.onload=()=>{if(ce.status==200||ce.status==0&&ce.response){j(ce.response);return}re()},ce.onerror=re,ce.send(null)}),M=D=>document.title=D);T&&typeof performance=="undefined"&&(global.performance=hF().performance);var q=console.log.bind(console),K=console.warn.bind(console);T&&(q=D=>U.writeSync(1,D+` +var nF=Object.defineProperty;var Gr=(e=>typeof require!="undefined"?require:typeof Proxy!="undefined"?new Proxy(e,{get:(t,n)=>(typeof require!="undefined"?require:t)[n]}):e)(function(e){if(typeof require!="undefined")return require.apply(this,arguments);throw new Error('Dynamic require of "'+e+'" is not supported')});var ay=(e,t)=>{for(var n in t)nF(e,n,{get:t[n],enumerable:!0})};var Oe={};ay(Oe,{Abs:()=>wl,Acos:()=>kl,Acosh:()=>Il,AdadeltaOptimizer:()=>of,AdagradOptimizer:()=>lf,AdamOptimizer:()=>uf,AdamaxOptimizer:()=>pf,Add:()=>cs,AddN:()=>mi,All:()=>Sl,Any:()=>Tl,ArgMax:()=>fi,ArgMin:()=>sc,Asin:()=>Nl,Asinh:()=>Cl,Atan:()=>_l,Atan2:()=>Al,Atanh:()=>El,AvgPool:()=>gi,AvgPool3D:()=>ic,AvgPool3DGrad:()=>Yh,AvgPoolGrad:()=>Xh,BackendWasm:()=>wA,BatchMatMul:()=>bi,BatchToSpaceND:()=>$l,Bincount:()=>Zh,BroadcastArgs:()=>Jh,BroadcastTo:()=>DI,Callback:()=>ZN,CallbackList:()=>tN,Cast:()=>yi,Ceil:()=>xi,ClipByValue:()=>ds,Complex:()=>Qh,ComplexAbs:()=>oc,Concat:()=>Fl,Conv2D:()=>vi,Conv2DBackpropFilter:()=>em,Conv2DBackpropInput:()=>wi,Conv3D:()=>lc,Conv3DBackpropFilterV2:()=>tm,Conv3DBackpropInputV2:()=>nm,Cos:()=>ki,Cosh:()=>Ii,CropAndResize:()=>Rl,Cumprod:()=>Dl,Cumsum:()=>Si,CustomCallback:()=>aN,DataStorage:()=>jh,DenseBincount:()=>am,DepthToSpace:()=>Ml,DepthwiseConv2dNative:()=>Ti,DepthwiseConv2dNativeBackpropFilter:()=>rm,DepthwiseConv2dNativeBackpropInput:()=>sm,Diag:()=>im,Dilation2D:()=>uc,Dilation2DBackpropFilter:()=>gh,Dilation2DBackpropInput:()=>fh,ENV:()=>Ix,EarlyStopping:()=>JN,Einsum:()=>om,Elu:()=>Ci,EluGrad:()=>lm,Environment:()=>$I,Equal:()=>Ol,Erf:()=>Pl,Exp:()=>_i,ExpandDims:()=>Ll,Expm1:()=>zl,FFT:()=>um,Fill:()=>pc,FlipLeftRight:()=>Wl,Floor:()=>Ei,FloorDiv:()=>Ai,FromPixels:()=>bh,FusedBatchNorm:()=>$i,FusedConv2D:()=>Qs,FusedDepthwiseConv2D:()=>ei,GPGPUContext:()=>ph,GatherNd:()=>Vl,GatherV2:()=>Bl,GraphModel:()=>k0,Greater:()=>Ul,GreaterEqual:()=>Fi,History:()=>nN,IFFT:()=>pm,Identity:()=>Di,Imag:()=>cm,InputSpec:()=>zt,IsFinite:()=>Gl,IsInf:()=>Hl,IsNan:()=>jl,KernelBackend:()=>rc,LRN:()=>cc,LRNGrad:()=>hm,LayerVariable:()=>KT,LayersModel:()=>Nr,LeakyRelu:()=>Ri,Less:()=>ql,LessEqual:()=>Kl,LinSpace:()=>dm,Log:()=>Mi,Log1p:()=>Xl,LogSoftmax:()=>MI,LogicalAnd:()=>Yl,LogicalNot:()=>Zl,LogicalOr:()=>Jl,LogicalXor:()=>RI,LowerBound:()=>jF,MathBackendWebGL:()=>Rf,Max:()=>Pi,MaxPool:()=>Li,MaxPool3D:()=>dc,MaxPool3DGrad:()=>fm,MaxPoolGrad:()=>mm,MaxPoolWithArgmax:()=>gm,Maximum:()=>Oi,Mean:()=>zi,Min:()=>Wi,Minimum:()=>Bi,MirrorPad:()=>Vi,Mod:()=>Ql,MomentumOptimizer:()=>cf,Multinomial:()=>bm,Multiply:()=>Ui,Neg:()=>eu,NonMaxSuppressionV3:()=>nu,NonMaxSuppressionV4:()=>au,NonMaxSuppressionV5:()=>ru,NotEqual:()=>tu,OP_SCOPE_SUFFIX:()=>Cx,OneHot:()=>Gi,OnesLike:()=>su,Optimizer:()=>$r,OptimizerConstructors:()=>Hr,Pack:()=>iu,PadV2:()=>Hi,Pool:()=>qF,Pow:()=>ji,Prelu:()=>qi,Prod:()=>Ki,RMSPropOptimizer:()=>df,RNN:()=>dr,RaggedGather:()=>ym,RaggedRange:()=>xm,RaggedTensorToTensor:()=>vm,Range:()=>hc,Rank:()=>wy,Real:()=>wm,RealDiv:()=>Ni,Reciprocal:()=>ou,Reduction:()=>xn,Relu:()=>Xi,Relu6:()=>Ji,Reshape:()=>lu,ResizeBilinear:()=>Zi,ResizeBilinearGrad:()=>Im,ResizeNearestNeighbor:()=>Yi,ResizeNearestNeighborGrad:()=>km,Reverse:()=>Qi,RotateWithOffset:()=>Su,Round:()=>eo,Rsqrt:()=>to,SGDOptimizer:()=>Bc,ScatterNd:()=>uu,SearchSorted:()=>Sm,Select:()=>pu,Selu:()=>cu,Sequential:()=>hl,Sigmoid:()=>ao,Sign:()=>mu,Sin:()=>no,Sinh:()=>hu,Slice:()=>du,Softmax:()=>io,Softplus:()=>fu,SpaceToBatchND:()=>gu,SparseFillEmptyRows:()=>mc,SparseReshape:()=>yu,SparseSegmentMean:()=>fc,SparseSegmentSum:()=>gc,SparseToDense:()=>Tm,SplitV:()=>bu,Sqrt:()=>ro,Square:()=>bc,SquaredDifference:()=>oo,Step:()=>ms,StridedSlice:()=>xu,StringNGrams:()=>yc,StringSplit:()=>xc,StringToHashBucketFast:()=>vc,Sub:()=>lo,Sum:()=>so,SymbolicTensor:()=>Ba,Tan:()=>uo,Tanh:()=>po,Tensor:()=>Te,TensorBuffer:()=>Ht,Tile:()=>hs,TopK:()=>vu,Transform:()=>wu,Transpose:()=>Tr,Unique:()=>Nm,Unpack:()=>ku,UnsortedSegmentSum:()=>wc,UpperBound:()=>KF,Variable:()=>ts,ZerosLike:()=>Iu,_FusedMatMul:()=>Js,abs:()=>Lt,acos:()=>Bx,acosh:()=>Vx,add:()=>Y,addN:()=>NS,all:()=>$m,any:()=>qp,argMax:()=>ai,argMin:()=>Ux,asin:()=>Gx,asinh:()=>Hx,atan:()=>jx,atan2:()=>qx,atanh:()=>Kx,avgPool:()=>ga,avgPool3d:()=>Yx,backend:()=>lS,backend_util:()=>N,basicLSTMCell:()=>AS,batchNorm:()=>bs,batchNorm2d:()=>Zx,batchNorm3d:()=>Jx,batchNorm4d:()=>Qx,batchToSpaceND:()=>Ac,bincount:()=>ev,booleanMaskAsync:()=>dT,broadcastArgs:()=>$S,broadcastTo:()=>Ks,broadcast_util:()=>Tu,browser:()=>co,buffer:()=>Pe,callbacks:()=>bH,cast:()=>oe,ceil:()=>tv,clipByValue:()=>en,clone:()=>rr,complex:()=>Cr,concat:()=>Ze,concat1d:()=>nv,concat2d:()=>av,concat3d:()=>rv,concat4d:()=>sv,constraints:()=>ZT,conv1d:()=>Fm,conv2d:()=>$t,conv2dTranspose:()=>Dm,conv3d:()=>ov,conv3dTranspose:()=>lv,copyRegisteredKernels:()=>JF,cos:()=>$c,cosh:()=>Rm,cosineWindow:()=>tf,cumprod:()=>Kp,cumsum:()=>Mm,customGrad:()=>or,data:()=>k2,denseBincount:()=>Sh,deprecationWarn:()=>Rx,depthToSpace:()=>uv,depthwiseConv2d:()=>ys,deregisterOp:()=>vH,device_util:()=>Tc,diag:()=>DS,dilation2d:()=>pv,disableDeprecationWarnings:()=>NR,dispose:()=>_e,disposeVariables:()=>CR,div:()=>he,divNoNan:()=>cv,dot:()=>dv,dropout:()=>zv,einsum:()=>RS,elu:()=>Nu,enableDebugMode:()=>TR,enableProdMode:()=>SR,enclosingPowerOfTwo:()=>Wv,engine:()=>Na,env:()=>H,equal:()=>Qn,erf:()=>hv,euclideanNorm:()=>gv,exp:()=>fn,expandDims:()=>Zt,expm1:()=>bv,eye:()=>Pm,fft:()=>zc,fill:()=>gn,findBackend:()=>RR,findBackendFactory:()=>MR,floor:()=>_u,floorDiv:()=>Am,forceHalfFloat:()=>B_,fused:()=>pl,gather:()=>Eu,gatherND:()=>gT,gather_util:()=>Mx,getBackend:()=>FR,getGradient:()=>xy,getKernel:()=>yh,getKernelsForBackend:()=>xh,getThreadsCount:()=>hpe,gpgpu_util:()=>x_,grad:()=>sO,grads:()=>iO,greater:()=>Nn,greaterEqual:()=>Er,ifft:()=>ul,imag:()=>Cc,image:()=>za,inTopKAsync:()=>bT,initializers:()=>JT,input:()=>bN,io:()=>Ut,irfft:()=>Zm,isFinite:()=>yv,isInf:()=>xv,isNaN:()=>vv,keep:()=>Jt,kernel_impls:()=>cr,layers:()=>QT,leakyRelu:()=>Fc,less:()=>Om,lessEqual:()=>xs,linalg:()=>Uv,linspace:()=>zS,loadGraphModel:()=>I6,loadGraphModelSync:()=>S6,loadLayersModel:()=>yU,localResponseNormalization:()=>wv,log:()=>ea,log1p:()=>Dc,logSigmoid:()=>kv,logSoftmax:()=>zm,logSumExp:()=>Wm,logicalAnd:()=>Ea,logicalNot:()=>Rc,logicalOr:()=>Bm,logicalXor:()=>Iv,losses:()=>ET,lowerBound:()=>BS,matMul:()=>Fe,math:()=>oS,max:()=>ha,maxPool:()=>Dt,maxPool3d:()=>Sv,maxPoolWithArgmax:()=>VS,maximum:()=>pr,mean:()=>Nt,memory:()=>kh,meshgrid:()=>US,metrics:()=>KN,min:()=>il,minimum:()=>Au,mirrorPad:()=>Tv,mod:()=>Nv,model:()=>wU,models:()=>XN,moments:()=>Mc,movingAverage:()=>hT,mul:()=>z,multiRNNCell:()=>GS,multinomial:()=>HS,neg:()=>yt,nextFrame:()=>Gv,norm:()=>Cu,notEqual:()=>ii,oneHot:()=>rl,ones:()=>Zn,onesLike:()=>ta,op:()=>L,outerProduct:()=>jS,pad:()=>ba,pad1d:()=>qS,pad2d:()=>KS,pad3d:()=>XS,pad4d:()=>YS,pool:()=>Cv,pow:()=>_r,prelu:()=>Oc,print:()=>$x,prod:()=>_v,profile:()=>_R,raggedGather:()=>ZS,raggedRange:()=>JS,raggedTensorToTensor:()=>QS,rand:()=>eT,randomGamma:()=>tT,randomNormal:()=>Um,randomStandardNormal:()=>nT,randomUniform:()=>$u,range:()=>ol,ready:()=>$R,real:()=>sl,reciprocal:()=>$v,registerBackend:()=>Em,registerCallbackConstructor:()=>IU,registerGradient:()=>PI,registerKernel:()=>kc,registerOp:()=>xH,regularizers:()=>YN,relu:()=>Xe,relu6:()=>Gm,removeBackend:()=>DR,reshape:()=>W,reverse:()=>fa,reverse1d:()=>aT,reverse2d:()=>rT,reverse3d:()=>sT,reverse4d:()=>iT,rfft:()=>Wc,round:()=>Hm,rsqrt:()=>jm,scalar:()=>ye,scatterND:()=>mT,scatter_util:()=>Px,searchSorted:()=>Vm,selu:()=>qm,separableConv2d:()=>vs,sequential:()=>kU,serialization:()=>ne,setBackend:()=>AR,setPlatform:()=>PR,setThreadsCount:()=>dpe,setWasmPath:()=>ppe,setWasmPaths:()=>cpe,setWebGLContext:()=>UC,setdiff1dAsync:()=>oT,sigmoid:()=>da,sign:()=>Fv,signal:()=>_T,sin:()=>Km,sinh:()=>Xm,slice:()=>Be,slice1d:()=>Lc,slice2d:()=>Ym,slice3d:()=>mo,slice4d:()=>ll,slice_util:()=>jt,softmax:()=>Ka,softplus:()=>ho,spaceToBatchND:()=>Pc,sparse:()=>AT,sparseToDense:()=>fT,spectral:()=>CT,split:()=>zn,sqrt:()=>ln,square:()=>ot,squaredDifference:()=>Jm,squeeze:()=>ws,stack:()=>Ft,step:()=>fo,stridedSlice:()=>Dv,string:()=>$T,sub:()=>pe,sum:()=>fe,sumOutType:()=>_m,tan:()=>Rv,tanh:()=>ri,tensor:()=>kn,tensor1d:()=>Ke,tensor2d:()=>_a,tensor3d:()=>_c,tensor4d:()=>$a,tensor5d:()=>lT,tensor6d:()=>uT,tensor_util:()=>Va,test_util:()=>IS,tidy:()=>P,tile:()=>Ln,time:()=>ER,topk:()=>Mv,train:()=>zs,transpose:()=>Ee,truncatedNormal:()=>Qm,unique:()=>Pv,unregisterGradient:()=>ZF,unregisterKernel:()=>YF,unsortedSegmentSum:()=>ef,unstack:()=>ct,upcastType:()=>ma,upperBound:()=>pT,util:()=>v,valueAndGrad:()=>oO,valueAndGrads:()=>lO,variable:()=>Ov,variableGrads:()=>WS,version:()=>Spe,version_converter:()=>N6,version_core:()=>mM,version_layers:()=>dw,version_wasm:()=>mpe,version_webgl:()=>aJ,webgl:()=>rJ,webgl_util:()=>VC,where:()=>mn,whereAsync:()=>Lv,zeros:()=>It,zerosLike:()=>qe});var aF=Object.create,yx=Object.defineProperty,rF=Object.getOwnPropertyDescriptor,sF=Object.getOwnPropertyNames,iF=Object.getPrototypeOf,oF=Object.prototype.hasOwnProperty,xI=(e=>typeof Gr!="undefined"?Gr:typeof Proxy!="undefined"?new Proxy(e,{get:(t,n)=>(typeof Gr!="undefined"?Gr:t)[n]}):e)(function(e){if(typeof Gr!="undefined")return Gr.apply(this,arguments);throw new Error('Dynamic require of "'+e+'" is not supported')}),Bt=(e,t)=>()=>(t||e((t={exports:{}}).exports,t),t.exports),Ae=(e,t)=>{for(var n in t)yx(e,n,{get:t[n],enumerable:!0})},lF=(e,t,n,a)=>{if(t&&typeof t=="object"||typeof t=="function")for(let r of sF(t))!oF.call(e,r)&&r!==n&&yx(e,r,{get:()=>t[r],enumerable:!(a=rF(t,r))||a.enumerable});return e},us=(e,t,n)=>(n=e!=null?aF(iF(e)):{},lF(t||!e||!e.__esModule?yx(n,"default",{value:e,enumerable:!0}):n,e)),uF=Bt((e,t)=>{t.exports=a;var n=null;try{n=new WebAssembly.Instance(new WebAssembly.Module(new Uint8Array([0,97,115,109,1,0,0,0,1,13,2,96,0,1,127,96,4,127,127,127,127,1,127,3,7,6,0,1,1,1,1,1,6,6,1,127,1,65,0,11,7,50,6,3,109,117,108,0,1,5,100,105,118,95,115,0,2,5,100,105,118,95,117,0,3,5,114,101,109,95,115,0,4,5,114,101,109,95,117,0,5,8,103,101,116,95,104,105,103,104,0,0,10,191,1,6,4,0,35,0,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,126,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,127,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,128,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,129,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,130,34,4,66,32,135,167,36,0,32,4,167,11])),{}).exports}catch(S){}function a(S,M,B){this.low=S|0,this.high=M|0,this.unsigned=!!B}a.prototype.__isLong__,Object.defineProperty(a.prototype,"__isLong__",{value:!0});function r(S){return(S&&S.__isLong__)===!0}a.isLong=r;var s={},i={};function o(S,M){var B,U,G;return M?(S>>>=0,(G=0<=S&&S<256)&&(U=i[S],U)?U:(B=u(S,(S|0)<0?-1:0,!0),G&&(i[S]=B),B)):(S|=0,(G=-128<=S&&S<128)&&(U=s[S],U)?U:(B=u(S,S<0?-1:0,!1),G&&(s[S]=B),B))}a.fromInt=o;function l(S,M){if(isNaN(S))return M?w:x;if(M){if(S<0)return w;if(S>=g)return A}else{if(S<=-b)return R;if(S+1>=b)return E}return S<0?l(-S,M).neg():u(S%f|0,S/f|0,M)}a.fromNumber=l;function u(S,M,B){return new a(S,M,B)}a.fromBits=u;var p=Math.pow;function d(S,M,B){if(S.length===0)throw Error("empty string");if(S==="NaN"||S==="Infinity"||S==="+Infinity"||S==="-Infinity")return x;if(typeof M=="number"?(B=M,M=!1):M=!!M,B=B||10,B<2||360)throw Error("interior hyphen");if(U===0)return d(S.substring(1),M,B).neg();for(var G=l(p(B,8)),q=x,K=0;K>>0:this.low},F.toNumber=function(){return this.unsigned?(this.high>>>0)*f+(this.low>>>0):this.high*f+(this.low>>>0)},F.toString=function(S){if(S=S||10,S<2||36>>0,ee=Q.toString(S);if(q=Z,q.isZero())return ee+K;for(;ee.length<6;)ee="0"+ee;K=""+ee+K}},F.getHighBits=function(){return this.high},F.getHighBitsUnsigned=function(){return this.high>>>0},F.getLowBits=function(){return this.low},F.getLowBitsUnsigned=function(){return this.low>>>0},F.getNumBitsAbs=function(){if(this.isNegative())return this.eq(R)?64:this.neg().getNumBitsAbs();for(var S=this.high!=0?this.high:this.low,M=31;M>0&&(S&1<=0},F.isOdd=function(){return(this.low&1)===1},F.isEven=function(){return(this.low&1)===0},F.equals=function(S){return r(S)||(S=c(S)),this.unsigned!==S.unsigned&&this.high>>>31===1&&S.high>>>31===1?!1:this.high===S.high&&this.low===S.low},F.eq=F.equals,F.notEquals=function(S){return!this.eq(S)},F.neq=F.notEquals,F.ne=F.notEquals,F.lessThan=function(S){return this.comp(S)<0},F.lt=F.lessThan,F.lessThanOrEqual=function(S){return this.comp(S)<=0},F.lte=F.lessThanOrEqual,F.le=F.lessThanOrEqual,F.greaterThan=function(S){return this.comp(S)>0},F.gt=F.greaterThan,F.greaterThanOrEqual=function(S){return this.comp(S)>=0},F.gte=F.greaterThanOrEqual,F.ge=F.greaterThanOrEqual,F.compare=function(S){if(r(S)||(S=c(S)),this.eq(S))return 0;var M=this.isNegative(),B=S.isNegative();return M&&!B?-1:!M&&B?1:this.unsigned?S.high>>>0>this.high>>>0||S.high===this.high&&S.low>>>0>this.low>>>0?-1:1:this.sub(S).isNegative()?-1:1},F.comp=F.compare,F.negate=function(){return!this.unsigned&&this.eq(R)?R:this.not().add(I)},F.neg=F.negate,F.add=function(S){r(S)||(S=c(S));var M=this.high>>>16,B=this.high&65535,U=this.low>>>16,G=this.low&65535,q=S.high>>>16,K=S.high&65535,Z=S.low>>>16,Q=S.low&65535,ee=0,ae=0,te=0,le=0;return le+=G+Q,te+=le>>>16,le&=65535,te+=U+Z,ae+=te>>>16,te&=65535,ae+=B+K,ee+=ae>>>16,ae&=65535,ee+=M+q,ee&=65535,u(te<<16|le,ee<<16|ae,this.unsigned)},F.subtract=function(S){return r(S)||(S=c(S)),this.add(S.neg())},F.sub=F.subtract,F.multiply=function(S){if(this.isZero())return x;if(r(S)||(S=c(S)),n){var M=n.mul(this.low,this.high,S.low,S.high);return u(M,n.get_high(),this.unsigned)}if(S.isZero())return x;if(this.eq(R))return S.isOdd()?R:x;if(S.eq(R))return this.isOdd()?R:x;if(this.isNegative())return S.isNegative()?this.neg().mul(S.neg()):this.neg().mul(S).neg();if(S.isNegative())return this.mul(S.neg()).neg();if(this.lt(y)&&S.lt(y))return l(this.toNumber()*S.toNumber(),this.unsigned);var B=this.high>>>16,U=this.high&65535,G=this.low>>>16,q=this.low&65535,K=S.high>>>16,Z=S.high&65535,Q=S.low>>>16,ee=S.low&65535,ae=0,te=0,le=0,ie=0;return ie+=q*ee,le+=ie>>>16,ie&=65535,le+=G*ee,te+=le>>>16,le&=65535,le+=q*Q,te+=le>>>16,le&=65535,te+=U*ee,ae+=te>>>16,te&=65535,te+=G*Q,ae+=te>>>16,te&=65535,te+=q*Z,ae+=te>>>16,te&=65535,ae+=B*ee+U*Q+G*Z+q*K,ae&=65535,u(le<<16|ie,ae<<16|te,this.unsigned)},F.mul=F.multiply,F.divide=function(S){if(r(S)||(S=c(S)),S.isZero())throw Error("division by zero");if(n){if(!this.unsigned&&this.high===-2147483648&&S.low===-1&&S.high===-1)return this;var M=(this.unsigned?n.div_u:n.div_s)(this.low,this.high,S.low,S.high);return u(M,n.get_high(),this.unsigned)}if(this.isZero())return this.unsigned?w:x;var B,U,G;if(this.unsigned){if(S.unsigned||(S=S.toUnsigned()),S.gt(this))return w;if(S.gt(this.shru(1)))return T;G=w}else{if(this.eq(R)){if(S.eq(I)||S.eq(C))return R;if(S.eq(R))return I;var q=this.shr(1);return B=q.div(S).shl(1),B.eq(x)?S.isNegative()?I:C:(U=this.sub(S.mul(B)),G=B.add(U.div(S)),G)}else if(S.eq(R))return this.unsigned?w:x;if(this.isNegative())return S.isNegative()?this.neg().div(S.neg()):this.neg().div(S).neg();if(S.isNegative())return this.div(S.neg()).neg();G=x}for(U=this;U.gte(S);){B=Math.max(1,Math.floor(U.toNumber()/S.toNumber()));for(var K=Math.ceil(Math.log(B)/Math.LN2),Z=K<=48?1:p(2,K-48),Q=l(B),ee=Q.mul(S);ee.isNegative()||ee.gt(U);)B-=Z,Q=l(B,this.unsigned),ee=Q.mul(S);Q.isZero()&&(Q=I),G=G.add(Q),U=U.sub(ee)}return G},F.div=F.divide,F.modulo=function(S){if(r(S)||(S=c(S)),n){var M=(this.unsigned?n.rem_u:n.rem_s)(this.low,this.high,S.low,S.high);return u(M,n.get_high(),this.unsigned)}return this.sub(this.div(S).mul(S))},F.mod=F.modulo,F.rem=F.modulo,F.not=function(){return u(~this.low,~this.high,this.unsigned)},F.and=function(S){return r(S)||(S=c(S)),u(this.low&S.low,this.high&S.high,this.unsigned)},F.or=function(S){return r(S)||(S=c(S)),u(this.low|S.low,this.high|S.high,this.unsigned)},F.xor=function(S){return r(S)||(S=c(S)),u(this.low^S.low,this.high^S.high,this.unsigned)},F.shiftLeft=function(S){return r(S)&&(S=S.toInt()),(S&=63)===0?this:S<32?u(this.low<>>32-S,this.unsigned):u(0,this.low<>>S|this.high<<32-S,this.high>>S,this.unsigned):u(this.high>>S-32,this.high>=0?0:-1,this.unsigned)},F.shr=F.shiftRight,F.shiftRightUnsigned=function(S){if(r(S)&&(S=S.toInt()),S&=63,S===0)return this;var M=this.high;if(S<32){var B=this.low;return u(B>>>S|M<<32-S,M>>>S,this.unsigned)}else return S===32?u(M,0,this.unsigned):u(M>>>S-32,0,this.unsigned)},F.shru=F.shiftRightUnsigned,F.shr_u=F.shiftRightUnsigned,F.toSigned=function(){return this.unsigned?u(this.low,this.high,!1):this},F.toUnsigned=function(){return this.unsigned?this:u(this.low,this.high,!0)},F.toBytes=function(S){return S?this.toBytesLE():this.toBytesBE()},F.toBytesLE=function(){var S=this.high,M=this.low;return[M&255,M>>>8&255,M>>>16&255,M>>>24,S&255,S>>>8&255,S>>>16&255,S>>>24]},F.toBytesBE=function(){var S=this.high,M=this.low;return[S>>>24,S>>>16&255,S>>>8&255,S&255,M>>>24,M>>>16&255,M>>>8&255,M&255]},a.fromBytes=function(S,M,B){return B?a.fromBytesLE(S,M):a.fromBytesBE(S,M)},a.fromBytesLE=function(S,M){return new a(S[0]|S[1]<<8|S[2]<<16|S[3]<<24,S[4]|S[5]<<8|S[6]<<16|S[7]<<24,M)},a.fromBytesBE=function(S,M){return new a(S[4]<<24|S[5]<<16|S[6]<<8|S[7],S[0]<<24|S[1]<<16|S[2]<<8|S[3],M)}}),pF=Bt(()=>{}),cF=Bt(()=>{}),dF=Bt((e,t)=>{(function(n,a,r){function s(u){var p=this,d=l();p.next=function(){var c=2091639*p.s0+p.c*23283064365386963e-26;return p.s0=p.s1,p.s1=p.s2,p.s2=c-(p.c=c|0)},p.c=1,p.s0=d(" "),p.s1=d(" "),p.s2=d(" "),p.s0-=d(u),p.s0<0&&(p.s0+=1),p.s1-=d(u),p.s1<0&&(p.s1+=1),p.s2-=d(u),p.s2<0&&(p.s2+=1),d=null}function i(u,p){return p.c=u.c,p.s0=u.s0,p.s1=u.s1,p.s2=u.s2,p}function o(u,p){var d=new s(u),c=p&&p.state,h=d.next;return h.int32=function(){return d.next()*4294967296|0},h.double=function(){return h()+(h()*2097152|0)*11102230246251565e-32},h.quick=h,c&&(typeof c=="object"&&i(c,d),h.state=function(){return i(d,{})}),h}function l(){var u=4022871197,p=function(d){d=String(d);for(var c=0;c>>0,h-=u,h*=u,u=h>>>0,h-=u,u+=h*4294967296}return(u>>>0)*23283064365386963e-26};return p}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.alea=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),hF=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this,p="";u.x=0,u.y=0,u.z=0,u.w=0,u.next=function(){var c=u.x^u.x<<11;return u.x=u.y,u.y=u.z,u.z=u.w,u.w^=u.w>>>19^c^c>>>8},l===(l|0)?u.x=l:p+=l;for(var d=0;d>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(typeof d=="object"&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xor128=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),mF=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this,p="";u.next=function(){var c=u.x^u.x>>>2;return u.x=u.y,u.y=u.z,u.z=u.w,u.w=u.v,(u.d=u.d+362437|0)+(u.v=u.v^u.v<<4^(c^c<<1))|0},u.x=0,u.y=0,u.z=0,u.w=0,u.v=0,l===(l|0)?u.x=l:p+=l;for(var d=0;d>>4),u.next()}function i(l,u){return u.x=l.x,u.y=l.y,u.z=l.z,u.w=l.w,u.v=l.v,u.d=l.d,u}function o(l,u){var p=new s(l),d=u&&u.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(typeof d=="object"&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xorwow=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),fF=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this;u.next=function(){var d=u.x,c=u.i,h,m,f;return h=d[c],h^=h>>>7,m=h^h<<24,h=d[c+1&7],m^=h^h>>>10,h=d[c+3&7],m^=h^h>>>3,h=d[c+4&7],m^=h^h<<7,h=d[c+7&7],h=h^h<<13,m^=h^h<<9,d[c]=m,u.i=c+1&7,m};function p(d,c){var h,m,f=[];if(c===(c|0))m=f[0]=c;else for(c=""+c,h=0;h0;--h)d.next()}p(u,l)}function i(l,u){return u.x=l.x.slice(),u.i=l.i,u}function o(l,u){l==null&&(l=+new Date);var p=new s(l),d=u&&u.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(d.x&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xorshift7=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),gF=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this;u.next=function(){var d=u.w,c=u.X,h=u.i,m,f;return u.w=d=d+1640531527|0,f=c[h+34&127],m=c[h=h+1&127],f^=f<<13,m^=m<<17,f^=f>>>15,m^=m>>>12,f=c[h]=f^m,u.i=h,f+(d^d>>>16)|0};function p(d,c){var h,m,f,g,b,y=[],x=128;for(c===(c|0)?(m=c,c=null):(c=c+"\0",m=0,x=Math.max(x,c.length)),f=0,g=-32;g>>15,m^=m<<4,m^=m>>>13,g>=0&&(b=b+1640531527|0,h=y[g&127]^=m+b,f=h==0?f+1:0);for(f>=128&&(y[(c&&c.length||0)&127]=-1),f=127,g=4*128;g>0;--g)m=y[f+34&127],h=y[f=f+1&127],m^=m<<13,h^=h<<17,m^=m>>>15,h^=h>>>12,y[f]=m^h;d.w=b,d.X=y,d.i=f}p(u,l)}function i(l,u){return u.i=l.i,u.w=l.w,u.X=l.X.slice(),u}function o(l,u){l==null&&(l=+new Date);var p=new s(l),d=u&&u.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(d.X&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xor4096=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),bF=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this,p="";u.next=function(){var c=u.b,h=u.c,m=u.d,f=u.a;return c=c<<25^c>>>7^h,h=h-m|0,m=m<<24^m>>>8^f,f=f-c|0,u.b=c=c<<20^c>>>12^h,u.c=h=h-m|0,u.d=m<<16^h>>>16^f,u.a=f-c|0},u.a=0,u.b=0,u.c=-1640531527,u.d=1367130551,l===Math.floor(l)?(u.a=l/4294967296|0,u.b=l|0):p+=l;for(var d=0;d>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(typeof d=="object"&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.tychei=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),yF=Bt(()=>{}),xF=Bt((e,t)=>{(function(n,a,r){var s=256,i=6,o=52,l="random",u=r.pow(s,i),p=r.pow(2,o),d=p*2,c=s-1,h;function m(I,T,C){var E=[];T=T==!0?{entropy:!0}:T||{};var A=y(b(T.entropy?[I,w(a)]:I==null?x():I,3),E),R=new f(E),F=function(){for(var S=R.g(i),M=u,B=0;S=d;)S/=2,M/=2,B>>>=1;return(S+B)/M};return F.int32=function(){return R.g(4)|0},F.quick=function(){return R.g(4)/4294967296},F.double=F,y(w(R.S),a),(T.pass||C||function(S,M,B,U){return U&&(U.S&&g(U,R),S.state=function(){return g(R,{})}),B?(r[l]=S,M):S})(F,A,"global"in T?T.global:this==r,T.state)}function f(I){var T,C=I.length,E=this,A=0,R=E.i=E.j=0,F=E.S=[];for(C||(I=[C++]);A{var n=dF(),a=hF(),r=mF(),s=fF(),i=gF(),o=bF(),l=xF();l.alea=n,l.xor128=a,l.xorwow=r,l.xorshift7=s,l.xor4096=i,l.tychei=o,t.exports=l}),vI=Bt(()=>{}),xx=Bt(()=>{}),dh=Bt(()=>{}),vF=Bt(()=>{}),wF=Bt(()=>{}),kF=Bt(()=>{}),IF=Bt((e,t)=>{var n=(()=>{var a=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(a=a||__filename),function(r){r=r||{};function s(){return ue.buffer!=ze&&it(ue.buffer),dt}function i(){return ue.buffer!=ze&&it(ue.buffer),Hn}function o(){return ue.buffer!=ze&&it(ue.buffer),Mt}function l(){return ue.buffer!=ze&&it(ue.buffer),sn}function u(){return ue.buffer!=ze&&it(ue.buffer),Fn}function p(){return ue.buffer!=ze&&it(ue.buffer),ia}function d(){return ue.buffer!=ze&&it(ue.buffer),Dn}var c=typeof r!="undefined"?r:{},h,m;c.ready=new Promise(function(D,j){h=D,m=j});var f;typeof process!="undefined"&&process.listeners&&(f={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var g=Object.assign({},c),b=[],y="./this.program",x=(D,j)=>{throw j},w=typeof window=="object",I=typeof importScripts=="function",T=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",C=c.ENVIRONMENT_IS_PTHREAD||!1,E="";function A(D){return c.locateFile?c.locateFile(D,E):E+D}var R,F,S,M;function B(D){D instanceof Rs||Q("exiting due to exception: "+D)}if(T){I?E=dh().dirname(E)+"/":E=__dirname+"/";var U,G;typeof xI=="function"&&(U=xx(),G=dh()),R=(j,re)=>(j=G.normalize(j),U.readFileSync(j,re?void 0:"utf8")),S=j=>{var re=R(j,!0);return re.buffer||(re=new Uint8Array(re)),re},F=(j,re,ce)=>{j=G.normalize(j),U.readFile(j,function(ke,je){ke?ce(ke):re(je.buffer)})},process.argv.length>1&&(y=process.argv[1].replace(/\\/g,"/")),b=process.argv.slice(2),process.on("uncaughtException",function(j){if(!(j instanceof Rs))throw j}),process.on("unhandledRejection",function(j){throw j}),x=(j,re)=>{if(wa())throw process.exitCode=j,re;B(re),process.exit(j)},c.inspect=function(){return"[Emscripten Module object]"};let D;try{D=vF()}catch(j){throw console.error('The "worker_threads" module is not supported in this node.js build - perhaps a newer version is needed?'),j}global.Worker=D.Worker}else(w||I)&&(I?E=self.location.href:typeof document!="undefined"&&document.currentScript&&(E=document.currentScript.src),typeof a!="undefined"&&a&&(E=a),E.indexOf("blob:")!==0?E=E.substr(0,E.replace(/[?#].*/,"").lastIndexOf("/")+1):E="",T||(R=D=>{var j=new XMLHttpRequest;return j.open("GET",D,!1),j.send(null),j.responseText},I&&(S=D=>{var j=new XMLHttpRequest;return j.open("GET",D,!1),j.responseType="arraybuffer",j.send(null),new Uint8Array(j.response)}),F=(D,j,re)=>{var ce=new XMLHttpRequest;ce.open("GET",D,!0),ce.responseType="arraybuffer",ce.onload=()=>{if(ce.status==200||ce.status==0&&ce.response){j(ce.response);return}re()},ce.onerror=re,ce.send(null)}),M=D=>document.title=D);T&&typeof performance=="undefined"&&(global.performance=wF().performance);var q=console.log.bind(console),K=console.warn.bind(console);T&&(q=D=>U.writeSync(1,D+` `),K=D=>U.writeSync(2,D+` -`));var Z=c.print||q,Q=c.printErr||K;Object.assign(c,g),g=null,c.arguments&&(b=c.arguments),c.thisProgram&&(y=c.thisProgram),c.quit&&(x=c.quit);var ee=4,ae=Atomics.load,te=Atomics.store,le=Atomics.compareExchange,ie;c.wasmBinary&&(ie=c.wasmBinary);var be=c.noExitRuntime||!0;typeof WebAssembly!="object"&&Oo("no native wasm support detected");var ue,xe,Ie=!1,Se;function Le(D,j){D||Oo(j)}var Ve=typeof TextDecoder!="undefined"?new TextDecoder("utf8"):void 0;function tt(D,j,re){for(var ce=j+re,ke=j;D[ke]&&!(ke>=ce);)++ke;if(ke-j>16&&D.buffer&&Ve)return Ve.decode(D.buffer instanceof SharedArrayBuffer?D.slice(j,ke):D.subarray(j,ke));for(var He="";j>10,56320|oa&1023)}}return He}function st(D,j){return D?tt(i(),D,j):""}function Je(D,j,re,ce){if(!(ce>0))return 0;for(var ke=re,He=re+ce-1,Ne=0;Ne=55296&&Fe<=57343){var Ot=D.charCodeAt(++Ne);Fe=65536+((Fe&1023)<<10)|Ot&1023}if(Fe<=127){if(re>=He)break;j[re++]=Fe}else if(Fe<=2047){if(re+1>=He)break;j[re++]=192|Fe>>6,j[re++]=128|Fe&63}else if(Fe<=65535){if(re+2>=He)break;j[re++]=224|Fe>>12,j[re++]=128|Fe>>6&63,j[re++]=128|Fe&63}else{if(re+3>=He)break;j[re++]=240|Fe>>18,j[re++]=128|Fe>>12&63,j[re++]=128|Fe>>6&63,j[re++]=128|Fe&63}}return j[re]=0,re-ke}function nt(D,j,re){return Je(D,i(),j,re)}var ze,dt,Hn,Mt,ra,rn,An,sa,$n;C&&(ze=c.buffer);function it(D){ze=D,c.HEAP8=dt=new Int8Array(D),c.HEAP16=Mt=new Int16Array(D),c.HEAP32=rn=new Int32Array(D),c.HEAPU8=Hn=new Uint8Array(D),c.HEAPU16=ra=new Uint16Array(D),c.HEAPU32=An=new Uint32Array(D),c.HEAPF32=sa=new Float32Array(D),c.HEAPF64=$n=new Float64Array(D)}var Fn=c.INITIAL_MEMORY||16777216;if(C)ue=c.wasmMemory,ze=c.buffer;else if(c.wasmMemory)ue=c.wasmMemory;else if(ue=new WebAssembly.Memory({initial:Fn/65536,maximum:32768,shared:!0}),!(ue.buffer instanceof SharedArrayBuffer))throw Q("requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag"),T&&console.log("(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and also use a recent version)"),Error("bad memory");ue&&(ze=ue.buffer),Fn=ze.byteLength,it(ze);var jn,fr=[],Ro=[],Ya=[],dp=!1;function va(){return be}function Mo(){if(c.preRun)for(typeof c.preRun=="function"&&(c.preRun=[c.preRun]);c.preRun.length;)gg(c.preRun.shift());gp(fr)}function Xt(){dp=!0,!C&&gp(Ro)}function bd(){if(!C){if(c.postRun)for(typeof c.postRun=="function"&&(c.postRun=[c.postRun]);c.postRun.length;)x1(c.postRun.shift());gp(Ya)}}function gg(D){fr.unshift(D)}function bg(D){Ro.unshift(D)}function x1(D){Ya.unshift(D)}var Br=0,Po=null,gr=null;function v1(D){Br++,c.monitorRunDependencies&&c.monitorRunDependencies(Br)}function w1(D){if(Br--,c.monitorRunDependencies&&c.monitorRunDependencies(Br),Br==0&&(Po!==null&&(clearInterval(Po),Po=null),gr)){var j=gr;gr=null,j()}}function Oo(D){C?postMessage({cmd:"onAbort",arg:D}):c.onAbort&&c.onAbort(D),D="Aborted("+D+")",Q(D),Ie=!0,Se=1,D+=". Build with -sASSERTIONS for more info.";var j=new WebAssembly.RuntimeError(D);throw m(j),j}var yg="data:application/octet-stream;base64,";function yd(D){return D.startsWith(yg)}function hp(D){return D.startsWith("file://")}var bn;bn="tfjs-backend-wasm-threaded-simd.wasm",yd(bn)||(bn=A(bn));function xd(D){try{if(D==bn&&ie)return new Uint8Array(ie);if(S)return S(D);throw"both async and sync fetching of the wasm failed"}catch(j){Oo(j)}}function xg(){if(!ie&&(w||I)){if(typeof fetch=="function"&&!hp(bn))return fetch(bn,{credentials:"same-origin"}).then(function(D){if(!D.ok)throw"failed to load wasm binary file at '"+bn+"'";return D.arrayBuffer()}).catch(function(){return xd(bn)});if(F)return new Promise(function(D,j){F(bn,function(re){D(new Uint8Array(re))},j)})}return Promise.resolve().then(function(){return xd(bn)})}function vg(){var D={env:$d,wasi_snapshot_preview1:$d};function j(Ne,Fe){var Ot=Ne.exports;if(c.asm=Ot,Ag(c.asm._emscripten_tls_init),jn=c.asm.__indirect_function_table,bg(c.asm.__wasm_call_ctors),xe=Fe,!C){var oa=Ee.unusedWorkers.length;Ee.unusedWorkers.forEach(function(yr){Ee.loadWasmModuleToWorker(yr,function(){--oa||w1("wasm-instantiate")})})}}C||v1("wasm-instantiate");function re(Ne){j(Ne.instance,Ne.module)}function ce(Ne){return xg().then(function(Fe){return WebAssembly.instantiate(Fe,D)}).then(function(Fe){return Fe}).then(Ne,function(Fe){Q("failed to asynchronously prepare wasm: "+Fe),Oo(Fe)})}function ke(){return!ie&&typeof WebAssembly.instantiateStreaming=="function"&&!yd(bn)&&!hp(bn)&&!T&&typeof fetch=="function"?fetch(bn,{credentials:"same-origin"}).then(function(Ne){var Fe=WebAssembly.instantiateStreaming(Ne,D);return Fe.then(re,function(Ot){return Q("wasm streaming compile failed: "+Ot),Q("falling back to ArrayBuffer instantiation"),ce(re)})}):ce(re)}if(c.instantiateWasm)try{var He=c.instantiateWasm(D,j);return He}catch(Ne){Q("Module.instantiateWasm callback failed with error: "+Ne),m(Ne)}return ke().catch(m),{}}var wg,k1,kg={};function Rs(D){this.name="ExitStatus",this.message="Program terminated with exit("+D+")",this.status=D}function Ig(D){var j=Ee.pthreads[D];delete Ee.pthreads[D],j.terminate(),Jb(D),Ee.runningWorkers.splice(Ee.runningWorkers.indexOf(j),1),j.pthread_ptr=0}function Sg(D){var j=Ee.pthreads[D];j.postMessage({cmd:"cancel"})}function mp(D){var j=Ee.pthreads[D];Le(j),Ee.returnWorkerToPool(j)}function vd(D){var j=Ee.getNewWorker();if(!j)return 6;Ee.runningWorkers.push(j),Ee.pthreads[D.pthread_ptr]=j,j.pthread_ptr=D.pthread_ptr;var re={cmd:"run",start_routine:D.startRoutine,arg:D.arg,pthread_ptr:D.pthread_ptr};return j.runPthread=()=>{re.time=performance.now(),j.postMessage(re,D.transferList)},j.loaded&&(j.runPthread(),delete j.runPthread),0}var wd={varargs:void 0,get:function(){wd.varargs+=4;var D=l()[wd.varargs-4>>2];return D},getStr:function(D){var j=st(D);return j}};function fp(D){if(C)return Wr(1,1,D);Se=D,va()||(Ee.terminateAllThreads(),c.onExit&&c.onExit(D),Ie=!0),x(D,new Rs(D))}function I1(D,j){if(Se=D,!j&&C)throw Id(D),"unwind";fp(D)}var kd=I1;function Tg(D){if(D instanceof Rs||D=="unwind")return Se;x(1,D)}var Ee={unusedWorkers:[],runningWorkers:[],tlsInitFunctions:[],pthreads:{},init:function(){C?Ee.initWorker():Ee.initMainThread()},initMainThread:function(){for(var D=8;D--;)Ee.allocateUnusedWorker()},initWorker:function(){be=!1},setExitStatus:function(D){Se=D},terminateAllThreads:function(){for(var D of Object.values(Ee.pthreads))Ee.returnWorkerToPool(D);for(var D of Ee.unusedWorkers)D.terminate();Ee.unusedWorkers=[]},returnWorkerToPool:function(D){var j=D.pthread_ptr;delete Ee.pthreads[j],Ee.unusedWorkers.push(D),Ee.runningWorkers.splice(Ee.runningWorkers.indexOf(D),1),D.pthread_ptr=0,Jb(j)},receiveObjectTransfer:function(D){},threadInitTLS:function(){Ee.tlsInitFunctions.forEach(D=>D())},loadWasmModuleToWorker:function(D,j){D.onmessage=re=>{var ce=re.data,ke=ce.cmd;if(D.pthread_ptr&&(Ee.currentProxiedOperationCallerThread=D.pthread_ptr),ce.targetThread&&ce.targetThread!=Od()){var He=Ee.pthreads[ce.targetThread];He?He.postMessage(ce,ce.transferList):Q('Internal error! Worker sent a message "'+ke+'" to target pthread '+ce.targetThread+", but that thread no longer exists!"),Ee.currentProxiedOperationCallerThread=void 0;return}ke==="processProxyingQueue"?bp(ce.queue):ke==="spawnThread"?vd(ce):ke==="cleanupThread"?mp(ce.thread):ke==="killThread"?Ig(ce.thread):ke==="cancelThread"?Sg(ce.thread):ke==="loaded"?(D.loaded=!0,j&&j(D),D.runPthread&&(D.runPthread(),delete D.runPthread)):ke==="print"?Z("Thread "+ce.threadId+": "+ce.text):ke==="printErr"?Q("Thread "+ce.threadId+": "+ce.text):ke==="alert"?alert("Thread "+ce.threadId+": "+ce.text):ce.target==="setimmediate"?D.postMessage(ce):ke==="onAbort"?c.onAbort&&c.onAbort(ce.arg):ke&&Q("worker sent an unknown command "+ke),Ee.currentProxiedOperationCallerThread=void 0},D.onerror=re=>{var ce="worker sent an error!";throw Q(ce+" "+re.filename+":"+re.lineno+": "+re.message),re},T&&(D.on("message",function(re){D.onmessage({data:re})}),D.on("error",function(re){D.onerror(re)}),D.on("detachedExit",function(){})),D.postMessage({cmd:"load",urlOrBlob:c.mainScriptUrlOrBlob||a,wasmMemory:ue,wasmModule:xe})},allocateUnusedWorker:function(){var D=A("tfjs-backend-wasm-threaded-simd.worker.js");Ee.unusedWorkers.push(new Worker(D))},getNewWorker:function(){return Ee.unusedWorkers.length==0&&(Ee.allocateUnusedWorker(),Ee.loadWasmModuleToWorker(Ee.unusedWorkers[0])),Ee.unusedWorkers.pop()}};c.PThread=Ee;function gp(D){for(;D.length>0;)D.shift()(c)}function Ng(D){var j=Qb(),re=D();return Ld(j),re}function S1(D){return D}function T1(D){var j=/\b_Z[\w\d_]+/g;return D.replace(j,function(re){var ce=re;return re===ce?re:ce+" ["+re+"]"})}function Cg(){var D=Od(),j=l()[D+44>>2],re=l()[D+48>>2],ce=j-re;F1(j,ce),Ld(j)}c.establishStackSpace=Cg;function Id(D){if(C)return Wr(2,0,D);try{kd(D)}catch(j){Tg(j)}}var Lo=[];function _g(D){var j=Lo[D];return j||(D>=Lo.length&&(Lo.length=D+1),Lo[D]=j=jn.get(D)),j}function Eg(D,j){var re=_g(D)(j);va()?Ee.setExitStatus(re):$1(re)}c.invokeEntryPoint=Eg;function N1(){var D=new Error;if(!D.stack){try{throw new Error}catch(j){D=j}if(!D.stack)return"(no stack trace available)"}return D.stack.toString()}function Ag(D){Ee.tlsInitFunctions.push(D)}function $g(D,j){s().set(D,j)}function Fg(D){_1(D,!I,1,!w),Ee.threadInitTLS()}function Dg(D){C?postMessage({cmd:"cleanupThread",thread:D}):mp(D)}function Sd(D,j,re,ce){return C?Wr(3,1,D,j,re,ce):Td(D,j,re,ce)}function Td(D,j,re,ce){if(typeof SharedArrayBuffer=="undefined")return Q("Current environment does not support SharedArrayBuffer, pthreads are not available!"),6;var ke=[],He=0;if(C&&(ke.length===0||He))return Sd(D,j,re,ce);if(He)return He;var Ne={startRoutine:re,pthread_ptr:D,arg:ce,transferList:ke};return C?(Ne.cmd="spawnThread",postMessage(Ne,ke),0):vd(Ne)}function Rg(){return 2097152}var Mg=!0;function Pg(){return Mg}function bp(D){Atomics.store(l(),D>>2,1),Od()&&A1(D),Atomics.compareExchange(l(),D>>2,1,0)}c.executeNotifiedProxyingQueue=bp;function Og(D,j,re,ce){if(D==j)setTimeout(()=>bp(ce));else if(C)postMessage({targetThread:D,cmd:"processProxyingQueue",queue:ce});else{var ke=Ee.pthreads[D];if(!ke)return;ke.postMessage({cmd:"processProxyingQueue",queue:ce})}return 1}function Lg(D,j,re){return-1}function zg(){Oo("")}function Ms(D){Ms.shown||(Ms.shown={}),Ms.shown[D]||(Ms.shown[D]=1,T&&(D="warning: "+D),Q(D))}function Bg(){T||I||Ms("Blocking on the main thread is very dangerous, see https://emscripten.org/docs/porting/pthreads.html#blocking-on-the-main-browser-thread")}function Wg(){return Date.now()}function Nd(){return 2147483648}function Vg(){return Nd()}var zo;T?zo=()=>{var D=process.hrtime();return D[0]*1e3+D[1]/1e6}:C?zo=()=>performance.now()-c.__performance_now_clock_drift:zo=()=>performance.now();function Ug(D,j,re){i().copyWithin(D,j,j+re)}function Gg(){return T?mF().cpus().length:navigator.hardwareConcurrency}function Wr(D,j){var re=arguments.length-2,ce=arguments;return Ng(()=>{for(var ke=re,He=zd(ke*8),Ne=He>>3,Fe=0;Fe>3,ke=0;ke>>16),it(ue.buffer),1}catch(j){}}function qg(D){var j=i().length;if(D=D>>>0,D<=j)return!1;var re=Nd();if(D>re)return!1;let ce=(Ot,oa)=>Ot+(oa-Ot%oa)%oa;for(var ke=1;ke<=4;ke*=2){var He=j*(1+.2/ke);He=Math.min(He,D+100663296);var Ne=Math.min(re,ce(Math.max(D,He),65536)),Fe=jg(Ne);if(Fe)return!0}return!1}function Kg(){throw"unwind"}function Cd(D){return C?Wr(4,1,D):52}function _d(D,j,re,ce,ke){return C?Wr(5,1,D,j,re,ce,ke):70}var Xg=[null,[],[]];function Yg(D,j){var re=Xg[D];j===0||j===10?((D===1?Z:Q)(tt(re,0)),re.length=0):re.push(j)}function Ed(D,j,re,ce){if(C)return Wr(6,1,D,j,re,ce);for(var ke=0,He=0;He>2],Fe=u()[j+4>>2];j+=8;for(var Ot=0;Ot>2]=ke,0}function Ad(D){var j=c["_"+D];return j}function Zg(D,j,re,ce,ke){var He={string:la=>{var Uo=0;if(la!=null&&la!==0){var M1=(la.length<<2)+1;Uo=zd(M1),nt(la,Uo,M1)}return Uo},array:la=>{var Uo=zd(la.length);return $g(la,Uo),Uo}};function Ne(la){return j==="string"?st(la):j==="boolean"?Boolean(la):la}var Fe=Ad(D),Ot=[],oa=0;if(ce)for(var yr=0;yrNe==="number"||Ne==="boolean"),He=j!=="string";return He&&ke&&!ce?Ad(D):function(){return Zg(D,j,re,arguments,ce)}}Ee.init();var Qg=[null,fp,Id,Sd,Cd,_d,Ed],$d={__emscripten_init_main_thread_js:Fg,__emscripten_thread_cleanup:Dg,__pthread_create_js:Td,_emscripten_default_pthread_stack_size:Rg,_emscripten_get_now_is_monotonic:Pg,_emscripten_notify_task_queue:Og,_emscripten_set_offscreencanvas_size:Lg,abort:zg,emscripten_check_blocking_allowed:Bg,emscripten_date_now:Wg,emscripten_get_heap_max:Vg,emscripten_get_now:zo,emscripten_memcpy_big:Ug,emscripten_num_logical_cores:Gg,emscripten_receive_on_main_thread_js:Hg,emscripten_resize_heap:qg,emscripten_unwind_to_js_event_loop:Kg,exit:kd,fd_close:Cd,fd_seek:_d,fd_write:Ed,memory:ue||c.wasmMemory},C1=vg(),eb=c.___wasm_call_ctors=function(){return(eb=c.___wasm_call_ctors=c.asm.__wasm_call_ctors).apply(null,arguments)},tb=c._init=function(){return(tb=c._init=c.asm.init).apply(null,arguments)},nb=c._init_with_threads_count=function(){return(nb=c._init_with_threads_count=c.asm.init_with_threads_count).apply(null,arguments)},ab=c._get_threads_count=function(){return(ab=c._get_threads_count=c.asm.get_threads_count).apply(null,arguments)},rb=c._register_tensor=function(){return(rb=c._register_tensor=c.asm.register_tensor).apply(null,arguments)},sb=c._dispose_data=function(){return(sb=c._dispose_data=c.asm.dispose_data).apply(null,arguments)},ib=c._dispose=function(){return(ib=c._dispose=c.asm.dispose).apply(null,arguments)},ob=c._Abs=function(){return(ob=c._Abs=c.asm.Abs).apply(null,arguments)},lb=c._Add=function(){return(lb=c._Add=c.asm.Add).apply(null,arguments)},ub=c._AddN=function(){return(ub=c._AddN=c.asm.AddN).apply(null,arguments)},pb=c._All=function(){return(pb=c._All=c.asm.All).apply(null,arguments)},cb=c._Any=function(){return(cb=c._Any=c.asm.Any).apply(null,arguments)},db=c._ArgMax=function(){return(db=c._ArgMax=c.asm.ArgMax).apply(null,arguments)},hb=c._AvgPool=function(){return(hb=c._AvgPool=c.asm.AvgPool).apply(null,arguments)},mb=c._BatchMatMul=function(){return(mb=c._BatchMatMul=c.asm.BatchMatMul).apply(null,arguments)},fb=c._Ceil=function(){return(fb=c._Ceil=c.asm.Ceil).apply(null,arguments)},gb=c._ClipByValue=function(){return(gb=c._ClipByValue=c.asm.ClipByValue).apply(null,arguments)},bb=c._Conv2D=function(){return(bb=c._Conv2D=c.asm.Conv2D).apply(null,arguments)},yb=c._Conv2DBackpropInput=function(){return(yb=c._Conv2DBackpropInput=c.asm.Conv2DBackpropInput).apply(null,arguments)},xb=c._Cos=function(){return(xb=c._Cos=c.asm.Cos).apply(null,arguments)},vb=c._Cosh=function(){return(vb=c._Cosh=c.asm.Cosh).apply(null,arguments)},wb=c._CropAndResize=function(){return(wb=c._CropAndResize=c.asm.CropAndResize).apply(null,arguments)},kb=c._Cumprod=function(){return(kb=c._Cumprod=c.asm.Cumprod).apply(null,arguments)},Ib=c._Cumsum=function(){return(Ib=c._Cumsum=c.asm.Cumsum).apply(null,arguments)},Sb=c._DepthToSpace=function(){return(Sb=c._DepthToSpace=c.asm.DepthToSpace).apply(null,arguments)},Tb=c._DepthwiseConv2dNative=function(){return(Tb=c._DepthwiseConv2dNative=c.asm.DepthwiseConv2dNative).apply(null,arguments)},Nb=c._Elu=function(){return(Nb=c._Elu=c.asm.Elu).apply(null,arguments)},Cb=c._Equal=function(){return(Cb=c._Equal=c.asm.Equal).apply(null,arguments)},_b=c._Exp=function(){return(_b=c._Exp=c.asm.Exp).apply(null,arguments)},Eb=c._FlipLeftRight=function(){return(Eb=c._FlipLeftRight=c.asm.FlipLeftRight).apply(null,arguments)},Ab=c._Floor=function(){return(Ab=c._Floor=c.asm.Floor).apply(null,arguments)},$b=c._FloorDiv=function(){return($b=c._FloorDiv=c.asm.FloorDiv).apply(null,arguments)},Fb=c._FusedBatchNorm=function(){return(Fb=c._FusedBatchNorm=c.asm.FusedBatchNorm).apply(null,arguments)},Db=c._FusedConv2D=function(){return(Db=c._FusedConv2D=c.asm.FusedConv2D).apply(null,arguments)},Rb=c._FusedDepthwiseConv2D=function(){return(Rb=c._FusedDepthwiseConv2D=c.asm.FusedDepthwiseConv2D).apply(null,arguments)},Mb=c._Gather=function(){return(Mb=c._Gather=c.asm.Gather).apply(null,arguments)},Pb=c._GatherNd=function(){return(Pb=c._GatherNd=c.asm.GatherNd).apply(null,arguments)},Ob=c._Greater=function(){return(Ob=c._Greater=c.asm.Greater).apply(null,arguments)},Lb=c._GreaterEqual=function(){return(Lb=c._GreaterEqual=c.asm.GreaterEqual).apply(null,arguments)},zb=c._LeakyRelu=function(){return(zb=c._LeakyRelu=c.asm.LeakyRelu).apply(null,arguments)},Bb=c._Less=function(){return(Bb=c._Less=c.asm.Less).apply(null,arguments)},Wb=c._LessEqual=function(){return(Wb=c._LessEqual=c.asm.LessEqual).apply(null,arguments)},Vb=c._Log=function(){return(Vb=c._Log=c.asm.Log).apply(null,arguments)},Ub=c._LogicalAnd=function(){return(Ub=c._LogicalAnd=c.asm.LogicalAnd).apply(null,arguments)},Gb=c._LogicalNot=function(){return(Gb=c._LogicalNot=c.asm.LogicalNot).apply(null,arguments)},Hb=c._LogicalOr=function(){return(Hb=c._LogicalOr=c.asm.LogicalOr).apply(null,arguments)},jb=c._LogicalXor=function(){return(jb=c._LogicalXor=c.asm.LogicalXor).apply(null,arguments)},qb=c._Max=function(){return(qb=c._Max=c.asm.Max).apply(null,arguments)},Fd=c._MaxPool=function(){return(Fd=c._MaxPool=c.asm.MaxPool).apply(null,arguments)},Dd=c._Maximum=function(){return(Dd=c._Maximum=c.asm.Maximum).apply(null,arguments)},xp=c._Mean=function(){return(xp=c._Mean=c.asm.Mean).apply(null,arguments)},Kb=c._Min=function(){return(Kb=c._Min=c.asm.Min).apply(null,arguments)},Xb=c._Minimum=function(){return(Xb=c._Minimum=c.asm.Minimum).apply(null,arguments)},Bo=c._MirrorPad=function(){return(Bo=c._MirrorPad=c.asm.MirrorPad).apply(null,arguments)},Rd=c._Multiply=function(){return(Rd=c._Multiply=c.asm.Multiply).apply(null,arguments)},Wo=c._Neg=function(){return(Wo=c._Neg=c.asm.Neg).apply(null,arguments)},Vo=c._NonMaxSuppressionV3=function(){return(Vo=c._NonMaxSuppressionV3=c.asm.NonMaxSuppressionV3).apply(null,arguments)},Yb=c._NonMaxSuppressionV4=function(){return(Yb=c._NonMaxSuppressionV4=c.asm.NonMaxSuppressionV4).apply(null,arguments)},X=c._NonMaxSuppressionV5=function(){return(X=c._NonMaxSuppressionV5=c.asm.NonMaxSuppressionV5).apply(null,arguments)},se=c._NotEqual=function(){return(se=c._NotEqual=c.asm.NotEqual).apply(null,arguments)},we=c._OneHot=function(){return(we=c._OneHot=c.asm.OneHot).apply(null,arguments)},Ge=c._PadV2=function(){return(Ge=c._PadV2=c.asm.PadV2).apply(null,arguments)},wt=c._Pow=function(){return(wt=c._Pow=c.asm.Pow).apply(null,arguments)},kt=c._Prelu=function(){return(kt=c._Prelu=c.asm.Prelu).apply(null,arguments)},Ue=c._Prod=function(){return(Ue=c._Prod=c.asm.Prod).apply(null,arguments)},Be=c._RealDiv=function(){return(Be=c._RealDiv=c.asm.RealDiv).apply(null,arguments)},Pt=c._Relu=function(){return(Pt=c._Relu=c.asm.Relu).apply(null,arguments)},ia=c._Relu6=function(){return(ia=c._Relu6=c.asm.Relu6).apply(null,arguments)},br=c._ResizeBilinear=function(){return(br=c._ResizeBilinear=c.asm.ResizeBilinear).apply(null,arguments)},Md=c._ResizeNearestNeighbor=function(){return(Md=c._ResizeNearestNeighbor=c.asm.ResizeNearestNeighbor).apply(null,arguments)},vp=c._Reverse=function(){return(vp=c._Reverse=c.asm.Reverse).apply(null,arguments)},Zb=c._RotateWithOffset=function(){return(Zb=c._RotateWithOffset=c.asm.RotateWithOffset).apply(null,arguments)},Dn=c._Round=function(){return(Dn=c._Round=c.asm.Round).apply(null,arguments)},Vr=c._Rsqrt=function(){return(Vr=c._Rsqrt=c.asm.Rsqrt).apply(null,arguments)},Pd=c._ScatterNd=function(){return(Pd=c._ScatterNd=c.asm.ScatterNd).apply(null,arguments)},f$=c._SelectV2=function(){return(f$=c._SelectV2=c.asm.SelectV2).apply(null,arguments)},g$=c._Sigmoid=function(){return(g$=c._Sigmoid=c.asm.Sigmoid).apply(null,arguments)},b$=c._Sin=function(){return(b$=c._Sin=c.asm.Sin).apply(null,arguments)},y$=c._Softmax=function(){return(y$=c._Softmax=c.asm.Softmax).apply(null,arguments)},x$=c._SparseFillEmptyRows=function(){return(x$=c._SparseFillEmptyRows=c.asm.SparseFillEmptyRows).apply(null,arguments)},v$=c._SparseReshape=function(){return(v$=c._SparseReshape=c.asm.SparseReshape).apply(null,arguments)},w$=c._SparseSegmentReduction=function(){return(w$=c._SparseSegmentReduction=c.asm.SparseSegmentReduction).apply(null,arguments)},k$=c._Sqrt=function(){return(k$=c._Sqrt=c.asm.Sqrt).apply(null,arguments)},I$=c._Square=function(){return(I$=c._Square=c.asm.Square).apply(null,arguments)},S$=c._SquaredDifference=function(){return(S$=c._SquaredDifference=c.asm.SquaredDifference).apply(null,arguments)},T$=c._Step=function(){return(T$=c._Step=c.asm.Step).apply(null,arguments)},N$=c._StridedSlice=function(){return(N$=c._StridedSlice=c.asm.StridedSlice).apply(null,arguments)},C$=c._Sub=function(){return(C$=c._Sub=c.asm.Sub).apply(null,arguments)},_$=c._Sum=function(){return(_$=c._Sum=c.asm.Sum).apply(null,arguments)},E$=c._Tan=function(){return(E$=c._Tan=c.asm.Tan).apply(null,arguments)},A$=c._Tanh=function(){return(A$=c._Tanh=c.asm.Tanh).apply(null,arguments)},$$=c._Tile=function(){return($$=c._Tile=c.asm.Tile).apply(null,arguments)},F$=c._TopK=function(){return(F$=c._TopK=c.asm.TopK).apply(null,arguments)},D$=c._Transform=function(){return(D$=c._Transform=c.asm.Transform).apply(null,arguments)},R$=c._Transpose=function(){return(R$=c._Transpose=c.asm.Transpose).apply(null,arguments)},M$=c.__FusedMatMul=function(){return(M$=c.__FusedMatMul=c.asm._FusedMatMul).apply(null,arguments)},P$=c._malloc=function(){return(P$=c._malloc=c.asm.malloc).apply(null,arguments)},O$=c._free=function(){return(O$=c._free=c.asm.free).apply(null,arguments)},L$=c.__emscripten_tls_init=function(){return(L$=c.__emscripten_tls_init=c.asm._emscripten_tls_init).apply(null,arguments)},Od=c._pthread_self=function(){return(Od=c._pthread_self=c.asm.pthread_self).apply(null,arguments)},z$=c.___errno_location=function(){return(z$=c.___errno_location=c.asm.__errno_location).apply(null,arguments)},_1=c.__emscripten_thread_init=function(){return(_1=c.__emscripten_thread_init=c.asm._emscripten_thread_init).apply(null,arguments)},B$=c.__emscripten_thread_crashed=function(){return(B$=c.__emscripten_thread_crashed=c.asm._emscripten_thread_crashed).apply(null,arguments)},W$=c._emscripten_main_thread_process_queued_calls=function(){return(W$=c._emscripten_main_thread_process_queued_calls=c.asm.emscripten_main_thread_process_queued_calls).apply(null,arguments)},V$=c._emscripten_main_browser_thread_id=function(){return(V$=c._emscripten_main_browser_thread_id=c.asm.emscripten_main_browser_thread_id).apply(null,arguments)},E1=c._emscripten_run_in_main_runtime_thread_js=function(){return(E1=c._emscripten_run_in_main_runtime_thread_js=c.asm.emscripten_run_in_main_runtime_thread_js).apply(null,arguments)},U$=c._emscripten_dispatch_to_thread_=function(){return(U$=c._emscripten_dispatch_to_thread_=c.asm.emscripten_dispatch_to_thread_).apply(null,arguments)},A1=c.__emscripten_proxy_execute_task_queue=function(){return(A1=c.__emscripten_proxy_execute_task_queue=c.asm._emscripten_proxy_execute_task_queue).apply(null,arguments)},Jb=c.__emscripten_thread_free_data=function(){return(Jb=c.__emscripten_thread_free_data=c.asm._emscripten_thread_free_data).apply(null,arguments)},$1=c.__emscripten_thread_exit=function(){return($1=c.__emscripten_thread_exit=c.asm._emscripten_thread_exit).apply(null,arguments)},F1=c._emscripten_stack_set_limits=function(){return(F1=c._emscripten_stack_set_limits=c.asm.emscripten_stack_set_limits).apply(null,arguments)},Qb=c.stackSave=function(){return(Qb=c.stackSave=c.asm.stackSave).apply(null,arguments)},Ld=c.stackRestore=function(){return(Ld=c.stackRestore=c.asm.stackRestore).apply(null,arguments)},zd=c.stackAlloc=function(){return(zd=c.stackAlloc=c.asm.stackAlloc).apply(null,arguments)},G$=c.dynCall_iijjiiii=function(){return(G$=c.dynCall_iijjiiii=c.asm.dynCall_iijjiiii).apply(null,arguments)},H$=c.dynCall_jiji=function(){return(H$=c.dynCall_jiji=c.asm.dynCall_jiji).apply(null,arguments)};c.keepRuntimeAlive=va,c.wasmMemory=ue,c.cwrap=Jg,c.ExitStatus=Rs,c.PThread=Ee;var Bd;gr=function D(){Bd||D1(),Bd||(gr=D)};function D1(D){if(D=D||b,Br>0)return;if(C){h(c),Xt(),postMessage({cmd:"loaded"});return}if(Mo(),Br>0)return;function j(){Bd||(Bd=!0,c.calledRun=!0,!Ie&&(Xt(),h(c),c.onRuntimeInitialized&&c.onRuntimeInitialized(),bd()))}c.setStatus?(c.setStatus("Running..."),setTimeout(function(){setTimeout(function(){c.setStatus("")},1),j()},1)):j()}if(c.preInit)for(typeof c.preInit=="function"&&(c.preInit=[c.preInit]);c.preInit.length>0;)c.preInit.pop()();D1();var Wd;f&&(Wd={uncaughtException:process.listeners("uncaughtException").filter(function(D){return!f.uncaughtException.indexOf(D)>-1}),unhandledRejection:process.listeners("unhandledRejection").filter(function(D){return!f.unhandledRejection.indexOf(D)>-1})});var Vd;if(typeof WasmBackendModule!="undefined")Vd=WasmBackendModule;else if(typeof r!="undefined")Vd=r;else throw new Error("Could not find wasm module in post.js");if(Wd){var j$=Vd._dispose;Vd._dispose=function(){j$(),Wd.uncaughtException.forEach(function(D){process.removeListener("uncaughtException",D)}),Wd.unhandledRejection.forEach(function(D){process.removeListener("unhandledRejection",D)})}}return r.ready}})();typeof e=="object"&&typeof t=="object"?t.exports=n:typeof define=="function"&&define.amd?define([],function(){return n}):typeof e=="object"&&(e.WasmBackendModuleThreadedSimd=n)}),gF=Wt((e,t)=>{t.exports.wasmWorkerContents=`"use strict";var Module={};var ENVIRONMENT_IS_NODE=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string";if(ENVIRONMENT_IS_NODE){var nodeWorkerThreads=require("worker_threads");var parentPort=nodeWorkerThreads.parentPort;parentPort.on("message",data=>onmessage({data:data}));var fs=require("fs");Object.assign(global,{self:global,require:require,Module:Module,location:{href:__filename},Worker:nodeWorkerThreads.Worker,importScripts:function(f){(0,eval)(fs.readFileSync(f,"utf8"))},postMessage:function(msg){parentPort.postMessage(msg)},performance:global.performance||{now:function(){return Date.now()}}})}var initializedJS=false;var pendingNotifiedProxyingQueues=[];function threadPrintErr(){var text=Array.prototype.slice.call(arguments).join(" ");if(ENVIRONMENT_IS_NODE){fs.writeSync(2,text+" -");return}console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(" ");postMessage({cmd:"alert",text:text,threadId:Module["_pthread_self"]()})}var err=threadPrintErr;self.alert=threadAlert;Module["instantiateWasm"]=(info,receiveInstance)=>{var instance=new WebAssembly.Instance(Module["wasmModule"],info);receiveInstance(instance);Module["wasmModule"]=null;return instance.exports};self.onunhandledrejection=e=>{throw e.reason??e};self.onmessage=e=>{try{if(e.data.cmd==="load"){Module["wasmModule"]=e.data.wasmModule;Module["wasmMemory"]=e.data.wasmMemory;Module["buffer"]=Module["wasmMemory"].buffer;Module["ENVIRONMENT_IS_PTHREAD"]=true;if(typeof e.data.urlOrBlob=="string"){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}WasmBackendModuleThreadedSimd(Module).then(function(instance){Module=instance})}else if(e.data.cmd==="run"){Module["__performance_now_clock_drift"]=performance.now()-e.data.time;Module["__emscripten_thread_init"](e.data.pthread_ptr,0,0,1);Module["establishStackSpace"]();Module["PThread"].receiveObjectTransfer(e.data);Module["PThread"].threadInitTLS();if(!initializedJS){pendingNotifiedProxyingQueues.forEach(queue=>{Module["executeNotifiedProxyingQueue"](queue)});pendingNotifiedProxyingQueues=[];initializedJS=true}try{Module["invokeEntryPoint"](e.data.start_routine,e.data.arg)}catch(ex){if(ex!="unwind"){if(ex instanceof Module["ExitStatus"]){if(Module["keepRuntimeAlive"]()){}else{Module["__emscripten_thread_exit"](ex.status)}}else{throw ex}}}}else if(e.data.cmd==="cancel"){if(Module["_pthread_self"]()){Module["__emscripten_thread_exit"](-1)}}else if(e.data.target==="setimmediate"){}else if(e.data.cmd==="processProxyingQueue"){if(initializedJS){Module["executeNotifiedProxyingQueue"](e.data.queue)}else{pendingNotifiedProxyingQueues.push(e.data.queue)}}else if(e.data.cmd){err("worker.js received unknown command "+e.data.cmd);err(e.data)}}catch(ex){if(Module["__emscripten_thread_crashed"]){Module["__emscripten_thread_crashed"]()}throw ex}};`}),bF=Wt((e,t)=>{var n=(()=>{var a=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(a=a||__filename),function(r){r=r||{};var s=typeof r!="undefined"?r:{},i,o;s.ready=new Promise(function(X,se){i=X,o=se});var l;typeof process!="undefined"&&process.listeners&&(l={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var u=Object.assign({},s),p=[],d="./this.program",c=(X,se)=>{throw se},h=typeof window=="object",m=typeof importScripts=="function",f=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",g="";function b(X){return s.locateFile?s.locateFile(X,g):g+X}var y,x,w,I;function T(X){X instanceof Po||R("exiting due to exception: "+X)}if(f){m?g=dh().dirname(g)+"/":g=__dirname+"/";var C,E;typeof dI=="function"&&(C=bx(),E=dh()),y=(X,se)=>(X=E.normalize(X),C.readFileSync(X,se?void 0:"utf8")),w=X=>{var se=y(X,!0);return se.buffer||(se=new Uint8Array(se)),se},x=(X,se,we)=>{X=E.normalize(X),C.readFile(X,function(Ge,wt){Ge?we(Ge):se(wt.buffer)})},process.argv.length>1&&(d=process.argv[1].replace(/\\/g,"/")),p=process.argv.slice(2),process.on("uncaughtException",function(X){if(!(X instanceof Po))throw X}),process.on("unhandledRejection",function(X){throw X}),c=(X,se)=>{if(Hn())throw process.exitCode=X,se;T(se),process.exit(X)},s.inspect=function(){return"[Emscripten Module object]"}}else(h||m)&&(m?g=self.location.href:typeof document!="undefined"&&document.currentScript&&(g=document.currentScript.src),a&&(g=a),g.indexOf("blob:")!==0?g=g.substr(0,g.replace(/[?#].*/,"").lastIndexOf("/")+1):g="",y=X=>{var se=new XMLHttpRequest;return se.open("GET",X,!1),se.send(null),se.responseText},m&&(w=X=>{var se=new XMLHttpRequest;return se.open("GET",X,!1),se.responseType="arraybuffer",se.send(null),new Uint8Array(se.response)}),x=(X,se,we)=>{var Ge=new XMLHttpRequest;Ge.open("GET",X,!0),Ge.responseType="arraybuffer",Ge.onload=()=>{if(Ge.status==200||Ge.status==0&&Ge.response){se(Ge.response);return}we()},Ge.onerror=we,Ge.send(null)},I=X=>document.title=X);var A=s.print||console.log.bind(console),R=s.printErr||console.warn.bind(console);Object.assign(s,u),u=null,s.arguments&&(p=s.arguments),s.thisProgram&&(d=s.thisProgram),s.quit&&(c=s.quit);var F=4,S;s.wasmBinary&&(S=s.wasmBinary);var M=s.noExitRuntime||!0;typeof WebAssembly!="object"&&Ya("no native wasm support detected");var W,U=!1,G;function q(X,se){X||Ya(se)}var K=typeof TextDecoder!="undefined"?new TextDecoder("utf8"):void 0;function Z(X,se,we){for(var Ge=se+we,wt=se;X[wt]&&!(wt>=Ge);)++wt;if(wt-se>16&&X.buffer&&K)return K.decode(X.subarray(se,wt));for(var kt="";se>10,56320|ia&1023)}}return kt}function Q(X,se){return X?Z(ie,X,se):""}function ee(X,se,we,Ge){if(!(Ge>0))return 0;for(var wt=we,kt=we+Ge-1,Ue=0;Ue=55296&&Be<=57343){var Pt=X.charCodeAt(++Ue);Be=65536+((Be&1023)<<10)|Pt&1023}if(Be<=127){if(we>=kt)break;se[we++]=Be}else if(Be<=2047){if(we+1>=kt)break;se[we++]=192|Be>>6,se[we++]=128|Be&63}else if(Be<=65535){if(we+2>=kt)break;se[we++]=224|Be>>12,se[we++]=128|Be>>6&63,se[we++]=128|Be&63}else{if(we+3>=kt)break;se[we++]=240|Be>>18,se[we++]=128|Be>>12&63,se[we++]=128|Be>>6&63,se[we++]=128|Be&63}}return se[we]=0,we-wt}function ae(X,se,we){return ee(X,ie,se,we)}var te,le,ie,be,ue,xe,Ie,Se,Le;function Ve(X){te=X,s.HEAP8=le=new Int8Array(X),s.HEAP16=be=new Int16Array(X),s.HEAP32=xe=new Int32Array(X),s.HEAPU8=ie=new Uint8Array(X),s.HEAPU16=ue=new Uint16Array(X),s.HEAPU32=Ie=new Uint32Array(X),s.HEAPF32=Se=new Float32Array(X),s.HEAPF64=Le=new Float64Array(X)}var tt=s.INITIAL_MEMORY||16777216,st,Je=[],nt=[],ze=[],dt=!1;function Hn(){return M}function Mt(){if(s.preRun)for(typeof s.preRun=="function"&&(s.preRun=[s.preRun]);s.preRun.length;)An(s.preRun.shift());gr(Je)}function ra(){dt=!0,gr(nt)}function rn(){if(s.postRun)for(typeof s.postRun=="function"&&(s.postRun=[s.postRun]);s.postRun.length;)$n(s.postRun.shift());gr(ze)}function An(X){Je.unshift(X)}function sa(X){nt.unshift(X)}function $n(X){ze.unshift(X)}var it=0,Fn=null,jn=null;function fr(X){it++,s.monitorRunDependencies&&s.monitorRunDependencies(it)}function Ro(X){if(it--,s.monitorRunDependencies&&s.monitorRunDependencies(it),it==0&&(Fn!==null&&(clearInterval(Fn),Fn=null),jn)){var se=jn;jn=null,se()}}function Ya(X){s.onAbort&&s.onAbort(X),X="Aborted("+X+")",R(X),U=!0,G=1,X+=". Build with -sASSERTIONS for more info.";var se=new WebAssembly.RuntimeError(X);throw o(se),se}var dp="data:application/octet-stream;base64,";function va(X){return X.startsWith(dp)}function Mo(X){return X.startsWith("file://")}var Xt;Xt="tfjs-backend-wasm.wasm",va(Xt)||(Xt=b(Xt));function bd(X){try{if(X==Xt&&S)return new Uint8Array(S);if(w)return w(X);throw"both async and sync fetching of the wasm failed"}catch(se){Ya(se)}}function gg(){if(!S&&(h||m)){if(typeof fetch=="function"&&!Mo(Xt))return fetch(Xt,{credentials:"same-origin"}).then(function(X){if(!X.ok)throw"failed to load wasm binary file at '"+Xt+"'";return X.arrayBuffer()}).catch(function(){return bd(Xt)});if(x)return new Promise(function(X,se){x(Xt,function(we){X(new Uint8Array(we))},se)})}return Promise.resolve().then(function(){return bd(Xt)})}function bg(){var X={env:fp,wasi_snapshot_preview1:fp};function se(Ue,Be){var Pt=Ue.exports;s.asm=Pt,W=s.asm.memory,Ve(W.buffer),st=s.asm.__indirect_function_table,sa(s.asm.__wasm_call_ctors),Ro("wasm-instantiate")}fr("wasm-instantiate");function we(Ue){se(Ue.instance)}function Ge(Ue){return gg().then(function(Be){return WebAssembly.instantiate(Be,X)}).then(function(Be){return Be}).then(Ue,function(Be){R("failed to asynchronously prepare wasm: "+Be),Ya(Be)})}function wt(){return!S&&typeof WebAssembly.instantiateStreaming=="function"&&!va(Xt)&&!Mo(Xt)&&!f&&typeof fetch=="function"?fetch(Xt,{credentials:"same-origin"}).then(function(Ue){var Be=WebAssembly.instantiateStreaming(Ue,X);return Be.then(we,function(Pt){return R("wasm streaming compile failed: "+Pt),R("falling back to ArrayBuffer instantiation"),Ge(we)})}):Ge(we)}if(s.instantiateWasm)try{var kt=s.instantiateWasm(X,se);return kt}catch(Ue){R("Module.instantiateWasm callback failed with error: "+Ue),o(Ue)}return wt().catch(o),{}}var x1,Br;function Po(X){this.name="ExitStatus",this.message="Program terminated with exit("+X+")",this.status=X}function gr(X){for(;X.length>0;)X.shift()(s)}function v1(X){return X}function w1(X){var se=/\b_Z[\w\d_]+/g;return X.replace(se,function(we){var Ge=we;return we===Ge?we:Ge+" ["+we+"]"})}function Oo(){var X=new Error;if(!X.stack){try{throw new Error}catch(se){X=se}if(!X.stack)return"(no stack trace available)"}return X.stack.toString()}function yg(X,se){le.set(X,se)}function yd(){Ya("")}function hp(){return 2147483648}function bn(){return hp()}function xd(X,se,we){ie.copyWithin(X,se,se+we)}function xg(X){try{return W.grow(X-te.byteLength+65535>>>16),Ve(W.buffer),1}catch(se){}}function vg(X){var se=ie.length;X=X>>>0;var we=hp();if(X>we)return!1;let Ge=(Pt,ia)=>Pt+(ia-Pt%ia)%ia;for(var wt=1;wt<=4;wt*=2){var kt=se*(1+.2/wt);kt=Math.min(kt,X+100663296);var Ue=Math.min(we,Ge(Math.max(X,kt),65536)),Be=xg(Ue);if(Be)return!0}return!1}var wg={varargs:void 0,get:function(){wg.varargs+=4;var X=xe[wg.varargs-4>>2];return X},getStr:function(X){var se=Q(X);return se}};function k1(X){return 52}function kg(X,se,we,Ge,wt){return 70}var Rs=[null,[],[]];function Ig(X,se){var we=Rs[X];se===0||se===10?((X===1?A:R)(Z(we,0)),we.length=0):we.push(se)}function Sg(X,se,we,Ge){for(var wt=0,kt=0;kt>2],Be=Ie[se+4>>2];se+=8;for(var Pt=0;Pt>2]=wt,0}function mp(X){var se=s["_"+X];return se}function vd(X,se,we,Ge,wt){var kt={string:Dn=>{var Vr=0;if(Dn!=null&&Dn!==0){var Pd=(Dn.length<<2)+1;Vr=xp(Pd),ae(Dn,Vr,Pd)}return Vr},array:Dn=>{var Vr=xp(Dn.length);return yg(Dn,Vr),Vr}};function Ue(Dn){return se==="string"?Q(Dn):se==="boolean"?Boolean(Dn):Dn}var Be=mp(X),Pt=[],ia=0;if(Ge)for(var br=0;brUe==="number"||Ue==="boolean"),kt=se!=="string";return kt&&wt&&!Ge?mp(X):function(){return vd(X,se,we,arguments,Ge)}}var fp={abort:yd,emscripten_get_heap_max:bn,emscripten_memcpy_big:xd,emscripten_resize_heap:vg,fd_close:k1,fd_seek:kg,fd_write:Sg},I1=bg(),kd=s.___wasm_call_ctors=function(){return(kd=s.___wasm_call_ctors=s.asm.__wasm_call_ctors).apply(null,arguments)},Tg=s._init=function(){return(Tg=s._init=s.asm.init).apply(null,arguments)},Ee=s._init_with_threads_count=function(){return(Ee=s._init_with_threads_count=s.asm.init_with_threads_count).apply(null,arguments)},gp=s._get_threads_count=function(){return(gp=s._get_threads_count=s.asm.get_threads_count).apply(null,arguments)},Ng=s._register_tensor=function(){return(Ng=s._register_tensor=s.asm.register_tensor).apply(null,arguments)},S1=s._dispose_data=function(){return(S1=s._dispose_data=s.asm.dispose_data).apply(null,arguments)},T1=s._dispose=function(){return(T1=s._dispose=s.asm.dispose).apply(null,arguments)},Cg=s._Abs=function(){return(Cg=s._Abs=s.asm.Abs).apply(null,arguments)},Id=s._Add=function(){return(Id=s._Add=s.asm.Add).apply(null,arguments)},Lo=s._AddN=function(){return(Lo=s._AddN=s.asm.AddN).apply(null,arguments)},_g=s._All=function(){return(_g=s._All=s.asm.All).apply(null,arguments)},Eg=s._Any=function(){return(Eg=s._Any=s.asm.Any).apply(null,arguments)},N1=s._ArgMax=function(){return(N1=s._ArgMax=s.asm.ArgMax).apply(null,arguments)},Ag=s._AvgPool=function(){return(Ag=s._AvgPool=s.asm.AvgPool).apply(null,arguments)},$g=s._BatchMatMul=function(){return($g=s._BatchMatMul=s.asm.BatchMatMul).apply(null,arguments)},Fg=s._Ceil=function(){return(Fg=s._Ceil=s.asm.Ceil).apply(null,arguments)},Dg=s._ClipByValue=function(){return(Dg=s._ClipByValue=s.asm.ClipByValue).apply(null,arguments)},Sd=s._Conv2D=function(){return(Sd=s._Conv2D=s.asm.Conv2D).apply(null,arguments)},Td=s._Conv2DBackpropInput=function(){return(Td=s._Conv2DBackpropInput=s.asm.Conv2DBackpropInput).apply(null,arguments)},Rg=s._Cos=function(){return(Rg=s._Cos=s.asm.Cos).apply(null,arguments)},Mg=s._Cosh=function(){return(Mg=s._Cosh=s.asm.Cosh).apply(null,arguments)},Pg=s._CropAndResize=function(){return(Pg=s._CropAndResize=s.asm.CropAndResize).apply(null,arguments)},bp=s._Cumprod=function(){return(bp=s._Cumprod=s.asm.Cumprod).apply(null,arguments)},Og=s._Cumsum=function(){return(Og=s._Cumsum=s.asm.Cumsum).apply(null,arguments)},Lg=s._DepthToSpace=function(){return(Lg=s._DepthToSpace=s.asm.DepthToSpace).apply(null,arguments)},zg=s._DepthwiseConv2dNative=function(){return(zg=s._DepthwiseConv2dNative=s.asm.DepthwiseConv2dNative).apply(null,arguments)},Ms=s._Elu=function(){return(Ms=s._Elu=s.asm.Elu).apply(null,arguments)},Bg=s._Equal=function(){return(Bg=s._Equal=s.asm.Equal).apply(null,arguments)},Wg=s._Exp=function(){return(Wg=s._Exp=s.asm.Exp).apply(null,arguments)},Nd=s._FlipLeftRight=function(){return(Nd=s._FlipLeftRight=s.asm.FlipLeftRight).apply(null,arguments)},Vg=s._Floor=function(){return(Vg=s._Floor=s.asm.Floor).apply(null,arguments)},zo=s._FloorDiv=function(){return(zo=s._FloorDiv=s.asm.FloorDiv).apply(null,arguments)},Ug=s._FusedBatchNorm=function(){return(Ug=s._FusedBatchNorm=s.asm.FusedBatchNorm).apply(null,arguments)},Gg=s._FusedConv2D=function(){return(Gg=s._FusedConv2D=s.asm.FusedConv2D).apply(null,arguments)},Wr=s._FusedDepthwiseConv2D=function(){return(Wr=s._FusedDepthwiseConv2D=s.asm.FusedDepthwiseConv2D).apply(null,arguments)},yp=s._Gather=function(){return(yp=s._Gather=s.asm.Gather).apply(null,arguments)},Hg=s._GatherNd=function(){return(Hg=s._GatherNd=s.asm.GatherNd).apply(null,arguments)},jg=s._Greater=function(){return(jg=s._Greater=s.asm.Greater).apply(null,arguments)},qg=s._GreaterEqual=function(){return(qg=s._GreaterEqual=s.asm.GreaterEqual).apply(null,arguments)},Kg=s._LeakyRelu=function(){return(Kg=s._LeakyRelu=s.asm.LeakyRelu).apply(null,arguments)},Cd=s._Less=function(){return(Cd=s._Less=s.asm.Less).apply(null,arguments)},_d=s._LessEqual=function(){return(_d=s._LessEqual=s.asm.LessEqual).apply(null,arguments)},Xg=s._Log=function(){return(Xg=s._Log=s.asm.Log).apply(null,arguments)},Yg=s._LogicalAnd=function(){return(Yg=s._LogicalAnd=s.asm.LogicalAnd).apply(null,arguments)},Ed=s._LogicalNot=function(){return(Ed=s._LogicalNot=s.asm.LogicalNot).apply(null,arguments)},Ad=s._LogicalOr=function(){return(Ad=s._LogicalOr=s.asm.LogicalOr).apply(null,arguments)},Zg=s._LogicalXor=function(){return(Zg=s._LogicalXor=s.asm.LogicalXor).apply(null,arguments)},Jg=s._Max=function(){return(Jg=s._Max=s.asm.Max).apply(null,arguments)},Qg=s._MaxPool=function(){return(Qg=s._MaxPool=s.asm.MaxPool).apply(null,arguments)},$d=s._Maximum=function(){return($d=s._Maximum=s.asm.Maximum).apply(null,arguments)},C1=s._Mean=function(){return(C1=s._Mean=s.asm.Mean).apply(null,arguments)},eb=s._Min=function(){return(eb=s._Min=s.asm.Min).apply(null,arguments)},tb=s._Minimum=function(){return(tb=s._Minimum=s.asm.Minimum).apply(null,arguments)},nb=s._MirrorPad=function(){return(nb=s._MirrorPad=s.asm.MirrorPad).apply(null,arguments)},ab=s._Multiply=function(){return(ab=s._Multiply=s.asm.Multiply).apply(null,arguments)},rb=s._Neg=function(){return(rb=s._Neg=s.asm.Neg).apply(null,arguments)},sb=s._NonMaxSuppressionV3=function(){return(sb=s._NonMaxSuppressionV3=s.asm.NonMaxSuppressionV3).apply(null,arguments)},ib=s._NonMaxSuppressionV4=function(){return(ib=s._NonMaxSuppressionV4=s.asm.NonMaxSuppressionV4).apply(null,arguments)},ob=s._NonMaxSuppressionV5=function(){return(ob=s._NonMaxSuppressionV5=s.asm.NonMaxSuppressionV5).apply(null,arguments)},lb=s._NotEqual=function(){return(lb=s._NotEqual=s.asm.NotEqual).apply(null,arguments)},ub=s._OneHot=function(){return(ub=s._OneHot=s.asm.OneHot).apply(null,arguments)},pb=s._PadV2=function(){return(pb=s._PadV2=s.asm.PadV2).apply(null,arguments)},cb=s._Pow=function(){return(cb=s._Pow=s.asm.Pow).apply(null,arguments)},db=s._Prelu=function(){return(db=s._Prelu=s.asm.Prelu).apply(null,arguments)},hb=s._Prod=function(){return(hb=s._Prod=s.asm.Prod).apply(null,arguments)},mb=s._RealDiv=function(){return(mb=s._RealDiv=s.asm.RealDiv).apply(null,arguments)},fb=s._Relu=function(){return(fb=s._Relu=s.asm.Relu).apply(null,arguments)},gb=s._Relu6=function(){return(gb=s._Relu6=s.asm.Relu6).apply(null,arguments)},bb=s._ResizeBilinear=function(){return(bb=s._ResizeBilinear=s.asm.ResizeBilinear).apply(null,arguments)},yb=s._ResizeNearestNeighbor=function(){return(yb=s._ResizeNearestNeighbor=s.asm.ResizeNearestNeighbor).apply(null,arguments)},xb=s._Reverse=function(){return(xb=s._Reverse=s.asm.Reverse).apply(null,arguments)},vb=s._RotateWithOffset=function(){return(vb=s._RotateWithOffset=s.asm.RotateWithOffset).apply(null,arguments)},wb=s._Round=function(){return(wb=s._Round=s.asm.Round).apply(null,arguments)},kb=s._Rsqrt=function(){return(kb=s._Rsqrt=s.asm.Rsqrt).apply(null,arguments)},Ib=s._ScatterNd=function(){return(Ib=s._ScatterNd=s.asm.ScatterNd).apply(null,arguments)},Sb=s._SelectV2=function(){return(Sb=s._SelectV2=s.asm.SelectV2).apply(null,arguments)},Tb=s._Sigmoid=function(){return(Tb=s._Sigmoid=s.asm.Sigmoid).apply(null,arguments)},Nb=s._Sin=function(){return(Nb=s._Sin=s.asm.Sin).apply(null,arguments)},Cb=s._Softmax=function(){return(Cb=s._Softmax=s.asm.Softmax).apply(null,arguments)},_b=s._SparseFillEmptyRows=function(){return(_b=s._SparseFillEmptyRows=s.asm.SparseFillEmptyRows).apply(null,arguments)},Eb=s._SparseReshape=function(){return(Eb=s._SparseReshape=s.asm.SparseReshape).apply(null,arguments)},Ab=s._SparseSegmentReduction=function(){return(Ab=s._SparseSegmentReduction=s.asm.SparseSegmentReduction).apply(null,arguments)},$b=s._Sqrt=function(){return($b=s._Sqrt=s.asm.Sqrt).apply(null,arguments)},Fb=s._Square=function(){return(Fb=s._Square=s.asm.Square).apply(null,arguments)},Db=s._SquaredDifference=function(){return(Db=s._SquaredDifference=s.asm.SquaredDifference).apply(null,arguments)},Rb=s._Step=function(){return(Rb=s._Step=s.asm.Step).apply(null,arguments)},Mb=s._StridedSlice=function(){return(Mb=s._StridedSlice=s.asm.StridedSlice).apply(null,arguments)},Pb=s._Sub=function(){return(Pb=s._Sub=s.asm.Sub).apply(null,arguments)},Ob=s._Sum=function(){return(Ob=s._Sum=s.asm.Sum).apply(null,arguments)},Lb=s._Tan=function(){return(Lb=s._Tan=s.asm.Tan).apply(null,arguments)},zb=s._Tanh=function(){return(zb=s._Tanh=s.asm.Tanh).apply(null,arguments)},Bb=s._Tile=function(){return(Bb=s._Tile=s.asm.Tile).apply(null,arguments)},Wb=s._TopK=function(){return(Wb=s._TopK=s.asm.TopK).apply(null,arguments)},Vb=s._Transform=function(){return(Vb=s._Transform=s.asm.Transform).apply(null,arguments)},Ub=s._Transpose=function(){return(Ub=s._Transpose=s.asm.Transpose).apply(null,arguments)},Gb=s.__FusedMatMul=function(){return(Gb=s.__FusedMatMul=s.asm._FusedMatMul).apply(null,arguments)},Hb=s._malloc=function(){return(Hb=s._malloc=s.asm.malloc).apply(null,arguments)},jb=s._free=function(){return(jb=s._free=s.asm.free).apply(null,arguments)},qb=s.___errno_location=function(){return(qb=s.___errno_location=s.asm.__errno_location).apply(null,arguments)},Fd=s.stackSave=function(){return(Fd=s.stackSave=s.asm.stackSave).apply(null,arguments)},Dd=s.stackRestore=function(){return(Dd=s.stackRestore=s.asm.stackRestore).apply(null,arguments)},xp=s.stackAlloc=function(){return(xp=s.stackAlloc=s.asm.stackAlloc).apply(null,arguments)},Kb=s.dynCall_iijjiiii=function(){return(Kb=s.dynCall_iijjiiii=s.asm.dynCall_iijjiiii).apply(null,arguments)},Xb=s.dynCall_jiji=function(){return(Xb=s.dynCall_jiji=s.asm.dynCall_jiji).apply(null,arguments)};s.cwrap=wd;var Bo;jn=function X(){Bo||Rd(),Bo||(jn=X)};function Rd(X){if(X=X||p,it>0||(Mt(),it>0))return;function se(){Bo||(Bo=!0,s.calledRun=!0,!U&&(ra(),i(s),s.onRuntimeInitialized&&s.onRuntimeInitialized(),rn()))}s.setStatus?(s.setStatus("Running..."),setTimeout(function(){setTimeout(function(){s.setStatus("")},1),se()},1)):se()}if(s.preInit)for(typeof s.preInit=="function"&&(s.preInit=[s.preInit]);s.preInit.length>0;)s.preInit.pop()();Rd();var Wo;l&&(Wo={uncaughtException:process.listeners("uncaughtException").filter(function(X){return!l.uncaughtException.indexOf(X)>-1}),unhandledRejection:process.listeners("unhandledRejection").filter(function(X){return!l.unhandledRejection.indexOf(X)>-1})});var Vo;if(typeof r!="undefined")Vo=r;else if(typeof WasmBackendModuleThreadedSimd!="undefined")Vo=WasmBackendModuleThreadedSimd;else throw new Error("Could not find wasm module in post.js");if(Wo){var Yb=Vo._dispose;Vo._dispose=function(){Yb(),Wo.uncaughtException.forEach(function(X){process.removeListener("uncaughtException",X)}),Wo.unhandledRejection.forEach(function(X){process.removeListener("unhandledRejection",X)})}}return r.ready}})();typeof e=="object"&&typeof t=="object"?t.exports=n:typeof define=="function"&&define.amd?define([],function(){return n}):typeof e=="object"&&(e.WasmBackendModule=n)}),Hh=class{constructor(e,t){this.backend=e,this.dataMover=t,this.data=new WeakMap,this.dataIdsCount=0}get(e){return this.data.has(e)||this.dataMover.moveData(this.backend,e),this.data.get(e)}set(e,t){this.dataIdsCount++,this.data.set(e,t)}has(e){return this.data.has(e)}delete(e){return this.dataIdsCount--,this.data.delete(e)}numDataIds(){return this.dataIdsCount}},nc=class{refCount(e){return ua("refCount")}incRef(e){return ua("incRef")}timerAvailable(){return!0}time(e){return ua("time")}read(e){return ua("read")}readSync(e){return ua("readSync")}readToGPU(e,t){return ua("readToGPU")}numDataIds(){return ua("numDataIds")}disposeData(e,t){return ua("disposeData")}write(e,t,n){return ua("write")}move(e,t,n,a,r){return ua("move")}memory(){return ua("memory")}floatPrecision(){return ua("floatPrecision")}epsilon(){return this.floatPrecision()===32?1e-7:1e-4}dispose(){return ua("dispose")}};function ua(e){throw new Error(`'${e}' not yet implemented or not found in the registry. This kernel may not be supported by the tfjs backend you have chosen`)}function mI(e){let t=e.length,n=0;for(;t>0;)n=Math.random()*t|0,t--,hh(e,t,n)}function yF(e,t){if(e.length!==t.length)throw new Error(`Array sizes must match to be shuffled together First array length was ${e.length}Second array length was ${t.length}`);let n=e.length,a=0;for(;n>0;)a=Math.random()*n|0,n--,hh(e,n,a),hh(t,n,a)}function zp(e,t,n){return Math.max(e,Math.min(t,n))}function xF(e){return e%2===0?e:e+1}function hh(e,t,n){let a=e[t];e[t]=e[n],e[n]=a}function vF(e){let t=0;for(let n=0;nn+` Shapes ${e} and ${t} must match`)}function hi(e){$(e!=null,()=>"The input to the tensor constructor must be a non-null value.")}function Zs(e,t=[],n=!1){if(t==null&&(t=[]),Array.isArray(e)||dn(e)&&!n)for(let a=0;a0,n,a=setTimeout){return new Promise((r,s)=>{let i=0,o=()=>{if(e()){r();return}i++;let l=t(i);if(n!=null&&i>=n){s();return}a(o,l)};o()})}function _F(e,t){let n=1,a=-1;for(let s=0;s=0)n*=e[s];else if(e[s]===-1){if(a!==-1)throw Error(`Shapes can only have 1 implicit size. Found -1 at dim ${a} and dim ${s}`);a=s}else if(e[s]<0)throw Error(`Shapes can not be < 0. Found ${e[s]} at dim ${s}`);if(a===-1){if(t>0&&t!==n)throw Error(`Size(${t}) must match the product of shape ${e}`);return e}if(n===0)throw Error(`Cannot infer the missing size in [${e}] when there are 0 elements`);if(t%n!==0)throw Error(`The implicit shape can't be a fractional number. Got ${t} / ${n}`);let r=e.slice();return r[a]=t/n,r}function Ea(e,t){let n=t.length;return e=e==null?t.map((a,r)=>r):[].concat(e),$(e.every(a=>a>=-n&&a`All values in axis param must be in range [-${n}, ${n}) but got axis ${e}`),$(e.every(a=>el(a)),()=>`All values in axis param must be integers but got axis ${e}`),e.map(a=>a<0?n+a:a)}function fI(e,t){let n=[],a=[],r=t!=null&&Array.isArray(t)&&t.length===0,s=t==null||r?null:Ea(t,e).sort(),i=0;for(let o=0;oo)&&e[o]===1&&(n.push(e[o]),a.push(o)),s[i]<=o&&i++}e[o]!==1&&(n.push(e[o]),a.push(o))}return{newShape:n,keptDims:a}}function gI(e,t){let n=null;if(e==null||e==="float32")n=new Float32Array(t);else if(e==="int32")n=new Int32Array(t);else if(e==="bool")n=new Uint8Array(t);else throw new Error(`Unknown data type ${e}`);return n}function bI(e,t){let n=null;if(e==null||e==="float32")n=new Float32Array(t);else if(e==="int32")n=new Int32Array(t);else if(e==="bool")n=new Uint8Array(t);else if(e==="string")n=new Array(t);else throw new Error(`Unknown data type ${e}`);return n}function yI(e,t){for(let n=0;nt+=n.length),t}function qr(e){return typeof e=="string"||e instanceof String}function wI(e){return typeof e=="boolean"}function kI(e){return typeof e=="number"}function jh(e){return Array.isArray(e)?jh(e[0]):e instanceof Float32Array?"float32":e instanceof Int32Array||e instanceof Uint8Array||e instanceof Uint8ClampedArray?"int32":kI(e)?"float32":qr(e)?"string":wI(e)?"bool":"float32"}function Qr(e){return!!(e&&e.constructor&&e.call&&e.apply)}function mh(e,t){for(let n=t;n=0;--a)n[a]=n[a+1]*e[a+1];return n}function II(e,t,n,a=!1){let r=new Array;if(t.length===1){let s=t[0]*(a?2:1);for(let i=0;il*u)*(a?2:1);for(let l=0;lr*s)*(n?2:1);if(a===0)return[];if(a!==t.length)throw new Error(`[${e}] does not match the input size ${t.length}${n?" for a complex tensor":""}.`);return II(0,e,t,n)}function yx(e,t){let n=qh(e,t);for(let a=0;aa*r,1);if(t==null||t==="float32")return Yo(e,new Float32Array(n));if(t==="int32")return Yo(e,new Int32Array(n));if(t==="bool")return Yo(e,new Uint8Array(n));throw new Error(`Unknown data type ${t}`)}function xx(e){e.forEach(t=>{$(Number.isInteger(t)&&t>=0,()=>`Tensor must have a shape comprised of positive integers but got shape [${e}].`)})}function $F(e,t,n){if(t===0)return 0;if(t===1)return e[0];let a=e[e.length-1];for(let r=0;r{let[n,a]=t.split(":");this.urlFlags[n]=MF(n,a)})}};function DF(e){let t={};return e.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g,(n,...a)=>(RF(t,a[0],a[1]),a.join("="))),t}function RF(e,t,n){e[decodeURIComponent(t)]=decodeURIComponent(n||"")}function MF(e,t){if(t=t.toLowerCase(),t==="true"||t==="false")return t==="true";if(`${+t}`===t)return+t;throw new Error(`Could not parse value flag value ${t} for flag ${e}.`)}function H(){return wx}var wx=null;function PF(e){wx=e}var ny;function TI(){if(ny==null){let e;if(typeof window!="undefined")e=window;else if(typeof global!="undefined")e=global;else if(typeof process!="undefined")e=process;else if(typeof self!="undefined")e=self;else throw new Error("Could not find a global object");ny=e}return ny}function OF(){let e=TI();return e._tfGlobals==null&&(e._tfGlobals=new Map),e._tfGlobals}function kx(e,t){let n=OF();if(n.has(e))return n.get(e);{let a=t();return n.set(e,a),n.get(e)}}var xl="Abs",vl="Acos",wl="Acosh",ps="Add",mi="AddN",kl="All",Il="Any",fi="ArgMax",ac="ArgMin",Sl="Asin",Tl="Asinh",Nl="Atan",Cl="Atanh",_l="Atan2",gi="AvgPool",Kh="AvgPoolGrad",rc="AvgPool3D",Xh="AvgPool3DGrad",bi="BatchMatMul",El="BatchToSpaceND",Yh="Bincount",NI="BroadcastTo",Zh="BroadcastArgs",yi="Cast",xi="Ceil",cs="ClipByValue",Jh="Complex",sc="ComplexAbs",Al="Concat",vi="Conv2D",Qh="Conv2DBackpropFilter",wi="Conv2DBackpropInput",ic="Conv3D",em="Conv3DBackpropFilterV2",tm="Conv3DBackpropInputV2",ki="Cos",Ii="Cosh",$l="Cumprod",Si="Cumsum",Fl="CropAndResize",nm="DenseBincount",Dl="DepthToSpace",Ti="DepthwiseConv2dNative",am="DepthwiseConv2dNativeBackpropFilter",rm="DepthwiseConv2dNativeBackpropInput",sm="Diag",oc="Dilation2D",fh="Dilation2DBackpropInput",gh="Dilation2DBackpropFilter",Ni="RealDiv",im="Einsum",Ci="Elu",om="EluGrad",Rl="Erf",Ml="Equal",_i="Exp",Pl="ExpandDims",Ol="Expm1",lm="FFT",lc="Fill",Ll="FlipLeftRight",Ei="Floor",Ai="FloorDiv",$i="FusedBatchNorm",zl="GatherV2",Bl="GatherNd",Wl="Greater",Fi="GreaterEqual",Di="Identity",um="IFFT",pm="Imag",Vl="IsFinite",Ul="IsInf",Gl="IsNan",Ri="LeakyRelu",Hl="Less",jl="LessEqual",cm="LinSpace",Mi="Log",ql="Log1p",Kl="LogicalAnd",Xl="LogicalNot",Yl="LogicalOr",CI="LogicalXor",_I="LogSoftmax",LF="LowerBound",uc="LRN",dm="LRNGrad",Pi="Max",Oi="Maximum",Li="MaxPool",hm="MaxPoolGrad",pc="MaxPool3D",mm="MaxPool3DGrad",fm="MaxPoolWithArgmax",zi="Mean",Bi="Min",Wi="Minimum",Vi="MirrorPad",Zl="Mod",gm="Multinomial",Ui="Multiply",Jl="Neg",Ql="NotEqual",eu="NonMaxSuppressionV3",tu="NonMaxSuppressionV4",nu="NonMaxSuppressionV5",au="OnesLike",Gi="OneHot",ru="Pack",Hi="PadV2",zF="Pool",ji="Pow",qi="Prelu",Ki="Prod",bm="RaggedGather",ym="RaggedTensorToTensor",cc="Range",xm="Real",su="Reciprocal",Xi="Relu",iu="Reshape",Yi="ResizeNearestNeighbor",vm="ResizeNearestNeighborGrad",Zi="ResizeBilinear",wm="ResizeBilinearGrad",Ji="Relu6",Qi="Reverse",eo="Round",to="Rsqrt",ou="ScatterNd",km="SearchSorted",lu="Select",uu="Selu",pu="Slice",no="Sin",cu="Sinh",du="Sign",ao="Sigmoid",hu="Softplus",ro="Sqrt",so="Sum",mu="SpaceToBatchND",fu="SplitV",io="Softmax",dc="SparseFillEmptyRows",gu="SparseReshape",hc="SparseSegmentMean",mc="SparseSegmentSum",Im="SparseToDense",oo="SquaredDifference",fc="Square",bu="StridedSlice",gc="StringNGrams",bc="StringSplit",yc="StringToHashBucketFast",lo="Sub",uo="Tan",po="Tanh",ds="Tile",yu="TopK",xu="Transform",Tr="Transpose",Sm="Unique",vu="Unpack",xc="UnsortedSegmentSum",BF="UpperBound",wu="ZerosLike",hs="Step",bh="FromPixels",ku="RotateWithOffset",Js="_FusedMatMul",Qs="FusedConv2D",ei="FusedDepthwiseConv2D";function jr(...e){H().getBool("IS_TEST")||H().getBool("PROD")||console.warn(...e)}function WF(...e){H().getBool("IS_TEST")||H().getBool("PROD")||console.log(...e)}var tl=kx("kernelRegistry",()=>new Map),Bp=kx("gradRegistry",()=>new Map);function yh(e,t){let n=Ix(e,t);return tl.get(n)}function by(e){return Bp.get(e)}function xh(e){let t=tl.entries(),n=[];for(;;){let{done:a,value:r}=t.next();if(a)break;let[s,i]=r,[o]=s.split("_");o===e&&n.push(i)}return n}function vc(e){let{kernelName:t,backendName:n}=e,a=Ix(t,n);tl.has(a)&&jr(`The kernel '${t}' for backend '${n}' is already registered`),tl.set(a,e)}function EI(e){let{kernelName:t}=e;Bp.has(t)&&H().getBool("DEBUG")&&jr(`Overriding the gradient for '${t}'`),Bp.set(t,e)}function VF(e,t){let n=Ix(e,t);if(!tl.has(n))throw new Error(`The kernel '${e}' for backend '${t}' is not registered`);tl.delete(n)}function UF(e){if(!Bp.has(e))throw new Error(`The gradient '${e}' for backend is not registered`);Bp.delete(e)}function GF(e,t){xh(e).forEach(n=>{let a=Object.assign({},n,{backendName:t});vc(a)})}function Ix(e,t){return`${t}_${e}`}var v={};_e(v,{arraysEqual:()=>us,assert:()=>$,assertNonNegativeIntegerDimensions:()=>xx,assertNonNull:()=>hi,assertShapesMatch:()=>In,bytesFromStringArray:()=>vI,bytesPerElement:()=>gy,checkConversionForErrors:()=>yI,clamp:()=>zp,computeStrides:()=>yl,createScalarValue:()=>YF,createShuffledIndices:()=>NF,decodeString:()=>vh,distSquared:()=>kF,encodeString:()=>kc,fetch:()=>JF,fingerPrint64:()=>XF,flatten:()=>Zs,getArrayFromDType:()=>bI,getTypedArrayFromDType:()=>gI,hasEncodingLoss:()=>EF,hexToLong:()=>wc,indexToLoc:()=>FF,inferDtype:()=>jh,inferFromImplicitShape:()=>_F,isBoolean:()=>wI,isFunction:()=>Qr,isInt:()=>el,isNumber:()=>kI,isPromise:()=>vx,isScalarShape:()=>IF,isString:()=>qr,isTypedArray:()=>dn,isValidDtype:()=>xI,locToIndex:()=>$F,makeOnesTypedArray:()=>yx,makeZerosNestedTypedArray:()=>AF,makeZerosTypedArray:()=>qh,nearestDivisor:()=>mh,nearestLargerEven:()=>xF,now:()=>Wp,parseAxisParam:()=>Ea,randUniform:()=>wF,repeatedTry:()=>CF,rightPad:()=>Mp,shuffle:()=>mI,shuffleCombo:()=>yF,sizeFromShape:()=>mt,sizeToSquarishShape:()=>TF,squeezeShape:()=>fI,sum:()=>vF,swap:()=>hh,tanh:()=>SF,toNestedArray:()=>Yo,toTypedArray:()=>Tm});var O1=ls(tF()),Bs=O1.default||O1;function wc(e){return Bs.fromString(e,!0,16)}var AI=wc("c3a5c85c97cb3127"),Ls=wc("b492b66fbe98f273"),yn=wc("9ae16a3b2f90404f");function yy(e){return e.xor(e.shru(47))}function $I(e,t,n){let a=e.slice(t,t+n);return Bs.fromBytes(Array.from(a),!0,!0)}function ht(e,t){return $I(e,t,8)}function L1(e,t){return $I(e,t,4)}function Yt(e,t){return t===0?e:e.shru(t).or(e.shl(64-t))}function Yr(e,t,n=wc("9ddfea08eb382d69")){let a=e.xor(t).mul(n);a=a.xor(a.shru(47));let r=t.xor(a).mul(n);return r=r.xor(r.shru(47)),r=r.mul(n),r}function HF(e,t,n,a,r,s){r=r.add(e),s=Yt(s.add(r).add(a),21);let i=r;return r=r.add(t),r=r.add(n),s=s.add(Yt(r,44)),[r.add(a),s.add(i)]}function Ud(e,t,n,a){return HF(ht(e,t),ht(e,t+8),ht(e,t+16),ht(e,t+24),n,a)}function jF(e,t=e.length){if(t>=8){let n=yn.add(t*2),a=ht(e,0).add(yn),r=ht(e,t-8),s=Yt(r,37).mul(n).add(a),i=Yt(a,25).add(r).mul(n);return Yr(s,i,n)}if(t>=4){let n=yn.add(t*2),a=L1(e,0);return Yr(a.shl(3).add(t),L1(e,t-4),n)}if(t>0){let n=e[0],a=e[t>>1],r=e[t-1],s=n+(a<<8),i=t+(r<<2);return yy(yn.mul(s).xor(AI.mul(i))).mul(yn)}return yn}function qF(e,t=e.length){let n=yn.add(t*2),a=ht(e,0).mul(Ls),r=ht(e,8),s=ht(e,t-8).mul(n),i=ht(e,t-16).mul(yn);return Yr(Yt(a.add(r),43).add(Yt(s,30)).add(i),a.add(Yt(r.add(yn),18)).add(s),n)}function KF(e,t=e.length){let n=yn.add(t*2),a=ht(e,0).mul(yn),r=ht(e,8),s=ht(e,t-8).mul(n),i=ht(e,t-16).mul(yn),o=Yt(a.add(r),43).add(Yt(s,30)).add(i),l=Yr(o,a.add(Yt(r.add(yn),18)).add(s),n),u=ht(e,16).mul(n),p=ht(e,24),d=o.add(ht(e,t-32)).mul(n),c=l.add(ht(e,t-24)).mul(n);return Yr(Yt(u.add(p),43).add(Yt(d,30)).add(c),u.add(Yt(p.add(a),18)).add(d),n)}function XF(e,t=e.length){let n=Bs.fromNumber(81,!0);if(t<=32)return t<=16?jF(e,t):qF(e,t);if(t<=64)return KF(e,t);let a=n,r=n.mul(Ls).add(113),s=yy(r.mul(yn).add(113)).mul(yn),i=[Bs.UZERO,Bs.UZERO],o=[Bs.UZERO,Bs.UZERO];a=a.mul(yn).add(ht(e,0));let l=0,u=(t-1>>6)*64,p=u+(t-1&63)-63;do a=Yt(a.add(r).add(i[0]).add(ht(e,l+8)),37).mul(Ls),r=Yt(r.add(i[1]).add(ht(e,l+48)),42).mul(Ls),a=a.xor(o[1]),r=r.add(i[0]).add(ht(e,l+40)),s=Yt(s.add(o[0]),33).mul(Ls),i=Ud(e,l,i[1].mul(Ls),a.add(o[0])),o=Ud(e,l+32,s.add(o[1]),r.add(ht(e,l+16))),[s,a]=[a,s],l+=64;while(l!==u);let d=Ls.add(s.and(255).shl(1));return l=p,o[0]=o[0].add(t-1&63),i[0]=i[0].add(o[0]),o[0]=o[0].add(i[0]),a=Yt(a.add(r).add(i[0]).add(ht(e,l+8)),37).mul(d),r=Yt(r.add(i[1]).add(ht(e,l+48)),42).mul(d),a=a.xor(o[1].mul(9)),r=r.add(i[0].mul(9).add(ht(e,l+40))),s=Yt(s.add(o[0]),33).mul(d),i=Ud(e,l,i[1].mul(d),a.add(o[0])),o=Ud(e,l+32,s.add(o[1]),r.add(ht(e,l+16))),[s,a]=[a,s],Yr(Yr(i[0],o[0],d).add(yy(r).mul(AI)).add(s),Yr(i[1],o[1],d).add(a),d)}function YF(e,t){return t==="string"?kc(e):Tm([e],t)}function ZF(e,t){return e instanceof Float32Array&&t==="float32"||e instanceof Int32Array&&t==="int32"||e instanceof Uint8Array&&t==="bool"}function Tm(e,t){if(t==="string")throw new Error("Cannot convert a string[] to a TypedArray");if(Array.isArray(e)&&(e=Zs(e)),H().getBool("DEBUG")&&yI(e,t),ZF(e,t))return e;if(t==null||t==="float32"||t==="complex64")return new Float32Array(e);if(t==="int32")return new Int32Array(e);if(t==="bool"){let n=new Uint8Array(e.length);for(let a=0;a{a=n()},s,i=Wp();if(this.backendTimer.timerAvailable())s=this.backendTimer.time(r);else{r();for(let o of a)o.dataSync();s=Promise.resolve({kernelMs:Wp()-i})}if(H().getBool("CHECK_COMPUTATION_FOR_ERRORS"))for(let o=0;o{eD(u,l.dtype,e)})}return{kernelName:e,outputs:a,inputs:t,timeMs:s.then(o=>o.kernelMs),extraInfo:s.then(o=>o.getExtraProfileInfo!=null?o.getExtraProfileInfo():"")}}logKernelProfile(e){let{kernelName:t,outputs:n,timeMs:a,inputs:r,extraInfo:s}=e;n.forEach(i=>{Promise.all([i.data(),a,s]).then(o=>{this.logger.logKernelProfile(t,i,o[0],o[1],r,o[2])})})}};function eD(e,t,n){if(t!=="float32")return!1;for(let a=0;a0?m:""} `}}console.log(`%c${o} %c${i} %c${l}D ${p} %c${u} %c${d} %c${s}`,"font-weight:bold","color:red","color:blue","color: orange","color: green","color: steelblue")}};function nD(e,t,n){let a={},r={};for(let l=0;la[f.id]=!0),h=!0,r[u.id]=!0;break}if(h)break}}let s={};s[n.id]=!0;let i={};for(let l=e.length-1;l>=0;l--){let u=e[l],p=u.inputs;for(let d=0;d=0;r--){let s=t[r],i=[];if(s.outputs.forEach(l=>{let u=e[l.id];u!=null?i.push(u):i.push(null)}),s.gradient==null)throw new Error(`Cannot compute gradient: gradient function not found for ${s.kernelName}.`);let o=s.gradient(i);for(let l in s.inputs){if(!(l in o))throw new Error(`Cannot backprop through input ${l}. Available gradients found: ${Object.keys(o)}.`);let u=n(()=>o[l]());if(u.dtype!=="float32")throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input ${l} must have 'float32' dtype, but has '${u.dtype}'`);let p=s.inputs[l];if(!us(u.shape,p.shape))throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input '${l}' has shape '${u.shape}', which does not match the shape of the input '${p.shape}'`);if(e[p.id]==null)e[p.id]=u;else{let d=e[p.id];e[p.id]=a(d,u),d.dispose()}}}}var z1=20,wp=3,ay=7;function rD(e,t,n,a){let r=yl(t),s=sD(e,t,n,r),i=t.length,o=nh(e,t,n,r,s),l=["Tensor"];return a&&(l.push(` dtype: ${n}`),l.push(` rank: ${i}`),l.push(` shape: [${t}]`),l.push(" values:")),l.push(o.map(u=>" "+u).join(` +`));var Z=c.print||q,Q=c.printErr||K;Object.assign(c,g),g=null,c.arguments&&(b=c.arguments),c.thisProgram&&(y=c.thisProgram),c.quit&&(x=c.quit);var ee=4,ae=Atomics.load,te=Atomics.store,le=Atomics.compareExchange,ie;c.wasmBinary&&(ie=c.wasmBinary);var be=c.noExitRuntime||!0;typeof WebAssembly!="object"&&Lo("no native wasm support detected");var ue,xe,Ie=!1,Se;function Le(D,j){D||Lo(j)}var Ve=typeof TextDecoder!="undefined"?new TextDecoder("utf8"):void 0;function nt(D,j,re){for(var ce=j+re,ke=j;D[ke]&&!(ke>=ce);)++ke;if(ke-j>16&&D.buffer&&Ve)return Ve.decode(D.buffer instanceof SharedArrayBuffer?D.slice(j,ke):D.subarray(j,ke));for(var je="";j>10,56320|la&1023)}}return je}function st(D,j){return D?nt(i(),D,j):""}function Je(D,j,re,ce){if(!(ce>0))return 0;for(var ke=re,je=re+ce-1,Ce=0;Ce=55296&&De<=57343){var Ot=D.charCodeAt(++Ce);De=65536+((De&1023)<<10)|Ot&1023}if(De<=127){if(re>=je)break;j[re++]=De}else if(De<=2047){if(re+1>=je)break;j[re++]=192|De>>6,j[re++]=128|De&63}else if(De<=65535){if(re+2>=je)break;j[re++]=224|De>>12,j[re++]=128|De>>6&63,j[re++]=128|De&63}else{if(re+3>=je)break;j[re++]=240|De>>18,j[re++]=128|De>>12&63,j[re++]=128|De>>6&63,j[re++]=128|De&63}}return j[re]=0,re-ke}function at(D,j,re){return Je(D,i(),j,re)}var ze,dt,Hn,Mt,sa,sn,Fn,ia,Dn;C&&(ze=c.buffer);function it(D){ze=D,c.HEAP8=dt=new Int8Array(D),c.HEAP16=Mt=new Int16Array(D),c.HEAP32=sn=new Int32Array(D),c.HEAPU8=Hn=new Uint8Array(D),c.HEAPU16=sa=new Uint16Array(D),c.HEAPU32=Fn=new Uint32Array(D),c.HEAPF32=ia=new Float32Array(D),c.HEAPF64=Dn=new Float64Array(D)}var Rn=c.INITIAL_MEMORY||16777216;if(C)ue=c.wasmMemory,ze=c.buffer;else if(c.wasmMemory)ue=c.wasmMemory;else if(ue=new WebAssembly.Memory({initial:Rn/65536,maximum:32768,shared:!0}),!(ue.buffer instanceof SharedArrayBuffer))throw Q("requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag"),T&&console.log("(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and also use a recent version)"),Error("bad memory");ue&&(ze=ue.buffer),Rn=ze.byteLength,it(ze);var jn,gr=[],Mo=[],Ja=[],mp=!1;function wa(){return be}function Po(){if(c.preRun)for(typeof c.preRun=="function"&&(c.preRun=[c.preRun]);c.preRun.length;)yg(c.preRun.shift());yp(gr)}function Xt(){mp=!0,!C&&yp(Mo)}function yd(){if(!C){if(c.postRun)for(typeof c.postRun=="function"&&(c.postRun=[c.postRun]);c.postRun.length;)I1(c.postRun.shift());yp(Ja)}}function yg(D){gr.unshift(D)}function xg(D){Mo.unshift(D)}function I1(D){Ja.unshift(D)}var Br=0,Oo=null,br=null;function S1(D){Br++,c.monitorRunDependencies&&c.monitorRunDependencies(Br)}function T1(D){if(Br--,c.monitorRunDependencies&&c.monitorRunDependencies(Br),Br==0&&(Oo!==null&&(clearInterval(Oo),Oo=null),br)){var j=br;br=null,j()}}function Lo(D){C?postMessage({cmd:"onAbort",arg:D}):c.onAbort&&c.onAbort(D),D="Aborted("+D+")",Q(D),Ie=!0,Se=1,D+=". Build with -sASSERTIONS for more info.";var j=new WebAssembly.RuntimeError(D);throw m(j),j}var vg="data:application/octet-stream;base64,";function xd(D){return D.startsWith(vg)}function fp(D){return D.startsWith("file://")}var bn;bn="tfjs-backend-wasm-threaded-simd.wasm",xd(bn)||(bn=A(bn));function vd(D){try{if(D==bn&&ie)return new Uint8Array(ie);if(S)return S(D);throw"both async and sync fetching of the wasm failed"}catch(j){Lo(j)}}function wg(){if(!ie&&(w||I)){if(typeof fetch=="function"&&!fp(bn))return fetch(bn,{credentials:"same-origin"}).then(function(D){if(!D.ok)throw"failed to load wasm binary file at '"+bn+"'";return D.arrayBuffer()}).catch(function(){return vd(bn)});if(F)return new Promise(function(D,j){F(bn,function(re){D(new Uint8Array(re))},j)})}return Promise.resolve().then(function(){return vd(bn)})}function kg(){var D={env:Fd,wasi_snapshot_preview1:Fd};function j(Ce,De){var Ot=Ce.exports;if(c.asm=Ot,Fg(c.asm._emscripten_tls_init),jn=c.asm.__indirect_function_table,xg(c.asm.__wasm_call_ctors),xe=De,!C){var la=$e.unusedWorkers.length;$e.unusedWorkers.forEach(function(xr){$e.loadWasmModuleToWorker(xr,function(){--la||T1("wasm-instantiate")})})}}C||S1("wasm-instantiate");function re(Ce){j(Ce.instance,Ce.module)}function ce(Ce){return wg().then(function(De){return WebAssembly.instantiate(De,D)}).then(function(De){return De}).then(Ce,function(De){Q("failed to asynchronously prepare wasm: "+De),Lo(De)})}function ke(){return!ie&&typeof WebAssembly.instantiateStreaming=="function"&&!xd(bn)&&!fp(bn)&&!T&&typeof fetch=="function"?fetch(bn,{credentials:"same-origin"}).then(function(Ce){var De=WebAssembly.instantiateStreaming(Ce,D);return De.then(re,function(Ot){return Q("wasm streaming compile failed: "+Ot),Q("falling back to ArrayBuffer instantiation"),ce(re)})}):ce(re)}if(c.instantiateWasm)try{var je=c.instantiateWasm(D,j);return je}catch(Ce){Q("Module.instantiateWasm callback failed with error: "+Ce),m(Ce)}return ke().catch(m),{}}var Ig,N1,Sg={};function Rs(D){this.name="ExitStatus",this.message="Program terminated with exit("+D+")",this.status=D}function Tg(D){var j=$e.pthreads[D];delete $e.pthreads[D],j.terminate(),ey(D),$e.runningWorkers.splice($e.runningWorkers.indexOf(j),1),j.pthread_ptr=0}function Ng(D){var j=$e.pthreads[D];j.postMessage({cmd:"cancel"})}function gp(D){var j=$e.pthreads[D];Le(j),$e.returnWorkerToPool(j)}function wd(D){var j=$e.getNewWorker();if(!j)return 6;$e.runningWorkers.push(j),$e.pthreads[D.pthread_ptr]=j,j.pthread_ptr=D.pthread_ptr;var re={cmd:"run",start_routine:D.startRoutine,arg:D.arg,pthread_ptr:D.pthread_ptr};return j.runPthread=()=>{re.time=performance.now(),j.postMessage(re,D.transferList)},j.loaded&&(j.runPthread(),delete j.runPthread),0}var kd={varargs:void 0,get:function(){kd.varargs+=4;var D=l()[kd.varargs-4>>2];return D},getStr:function(D){var j=st(D);return j}};function bp(D){if(C)return Vr(1,1,D);Se=D,wa()||($e.terminateAllThreads(),c.onExit&&c.onExit(D),Ie=!0),x(D,new Rs(D))}function C1(D,j){if(Se=D,!j&&C)throw Sd(D),"unwind";bp(D)}var Id=C1;function Cg(D){if(D instanceof Rs||D=="unwind")return Se;x(1,D)}var $e={unusedWorkers:[],runningWorkers:[],tlsInitFunctions:[],pthreads:{},init:function(){C?$e.initWorker():$e.initMainThread()},initMainThread:function(){for(var D=8;D--;)$e.allocateUnusedWorker()},initWorker:function(){be=!1},setExitStatus:function(D){Se=D},terminateAllThreads:function(){for(var D of Object.values($e.pthreads))$e.returnWorkerToPool(D);for(var D of $e.unusedWorkers)D.terminate();$e.unusedWorkers=[]},returnWorkerToPool:function(D){var j=D.pthread_ptr;delete $e.pthreads[j],$e.unusedWorkers.push(D),$e.runningWorkers.splice($e.runningWorkers.indexOf(D),1),D.pthread_ptr=0,ey(j)},receiveObjectTransfer:function(D){},threadInitTLS:function(){$e.tlsInitFunctions.forEach(D=>D())},loadWasmModuleToWorker:function(D,j){D.onmessage=re=>{var ce=re.data,ke=ce.cmd;if(D.pthread_ptr&&($e.currentProxiedOperationCallerThread=D.pthread_ptr),ce.targetThread&&ce.targetThread!=Ld()){var je=$e.pthreads[ce.targetThread];je?je.postMessage(ce,ce.transferList):Q('Internal error! Worker sent a message "'+ke+'" to target pthread '+ce.targetThread+", but that thread no longer exists!"),$e.currentProxiedOperationCallerThread=void 0;return}ke==="processProxyingQueue"?xp(ce.queue):ke==="spawnThread"?wd(ce):ke==="cleanupThread"?gp(ce.thread):ke==="killThread"?Tg(ce.thread):ke==="cancelThread"?Ng(ce.thread):ke==="loaded"?(D.loaded=!0,j&&j(D),D.runPthread&&(D.runPthread(),delete D.runPthread)):ke==="print"?Z("Thread "+ce.threadId+": "+ce.text):ke==="printErr"?Q("Thread "+ce.threadId+": "+ce.text):ke==="alert"?alert("Thread "+ce.threadId+": "+ce.text):ce.target==="setimmediate"?D.postMessage(ce):ke==="onAbort"?c.onAbort&&c.onAbort(ce.arg):ke&&Q("worker sent an unknown command "+ke),$e.currentProxiedOperationCallerThread=void 0},D.onerror=re=>{var ce="worker sent an error!";throw Q(ce+" "+re.filename+":"+re.lineno+": "+re.message),re},T&&(D.on("message",function(re){D.onmessage({data:re})}),D.on("error",function(re){D.onerror(re)}),D.on("detachedExit",function(){})),D.postMessage({cmd:"load",urlOrBlob:c.mainScriptUrlOrBlob||a,wasmMemory:ue,wasmModule:xe})},allocateUnusedWorker:function(){var D=A("tfjs-backend-wasm-threaded-simd.worker.js");$e.unusedWorkers.push(new Worker(D))},getNewWorker:function(){return $e.unusedWorkers.length==0&&($e.allocateUnusedWorker(),$e.loadWasmModuleToWorker($e.unusedWorkers[0])),$e.unusedWorkers.pop()}};c.PThread=$e;function yp(D){for(;D.length>0;)D.shift()(c)}function _g(D){var j=ty(),re=D();return zd(j),re}function _1(D){return D}function E1(D){var j=/\b_Z[\w\d_]+/g;return D.replace(j,function(re){var ce=re;return re===ce?re:ce+" ["+re+"]"})}function Eg(){var D=Ld(),j=l()[D+44>>2],re=l()[D+48>>2],ce=j-re;P1(j,ce),zd(j)}c.establishStackSpace=Eg;function Sd(D){if(C)return Vr(2,0,D);try{Id(D)}catch(j){Cg(j)}}var zo=[];function Ag(D){var j=zo[D];return j||(D>=zo.length&&(zo.length=D+1),zo[D]=j=jn.get(D)),j}function $g(D,j){var re=Ag(D)(j);wa()?$e.setExitStatus(re):M1(re)}c.invokeEntryPoint=$g;function A1(){var D=new Error;if(!D.stack){try{throw new Error}catch(j){D=j}if(!D.stack)return"(no stack trace available)"}return D.stack.toString()}function Fg(D){$e.tlsInitFunctions.push(D)}function Dg(D,j){s().set(D,j)}function Rg(D){F1(D,!I,1,!w),$e.threadInitTLS()}function Mg(D){C?postMessage({cmd:"cleanupThread",thread:D}):gp(D)}function Td(D,j,re,ce){return C?Vr(3,1,D,j,re,ce):Nd(D,j,re,ce)}function Nd(D,j,re,ce){if(typeof SharedArrayBuffer=="undefined")return Q("Current environment does not support SharedArrayBuffer, pthreads are not available!"),6;var ke=[],je=0;if(C&&(ke.length===0||je))return Td(D,j,re,ce);if(je)return je;var Ce={startRoutine:re,pthread_ptr:D,arg:ce,transferList:ke};return C?(Ce.cmd="spawnThread",postMessage(Ce,ke),0):wd(Ce)}function Pg(){return 2097152}var Og=!0;function Lg(){return Og}function xp(D){Atomics.store(l(),D>>2,1),Ld()&&R1(D),Atomics.compareExchange(l(),D>>2,1,0)}c.executeNotifiedProxyingQueue=xp;function zg(D,j,re,ce){if(D==j)setTimeout(()=>xp(ce));else if(C)postMessage({targetThread:D,cmd:"processProxyingQueue",queue:ce});else{var ke=$e.pthreads[D];if(!ke)return;ke.postMessage({cmd:"processProxyingQueue",queue:ce})}return 1}function Wg(D,j,re){return-1}function Bg(){Lo("")}function Ms(D){Ms.shown||(Ms.shown={}),Ms.shown[D]||(Ms.shown[D]=1,T&&(D="warning: "+D),Q(D))}function Vg(){T||I||Ms("Blocking on the main thread is very dangerous, see https://emscripten.org/docs/porting/pthreads.html#blocking-on-the-main-browser-thread")}function Ug(){return Date.now()}function Cd(){return 2147483648}function Gg(){return Cd()}var Wo;T?Wo=()=>{var D=process.hrtime();return D[0]*1e3+D[1]/1e6}:C?Wo=()=>performance.now()-c.__performance_now_clock_drift:Wo=()=>performance.now();function Hg(D,j,re){i().copyWithin(D,j,j+re)}function jg(){return T?kF().cpus().length:navigator.hardwareConcurrency}function Vr(D,j){var re=arguments.length-2,ce=arguments;return _g(()=>{for(var ke=re,je=Wd(ke*8),Ce=je>>3,De=0;De>3,ke=0;ke>>16),it(ue.buffer),1}catch(j){}}function Xg(D){var j=i().length;if(D=D>>>0,D<=j)return!1;var re=Cd();if(D>re)return!1;let ce=(Ot,la)=>Ot+(la-Ot%la)%la;for(var ke=1;ke<=4;ke*=2){var je=j*(1+.2/ke);je=Math.min(je,D+100663296);var Ce=Math.min(re,ce(Math.max(D,je),65536)),De=Kg(Ce);if(De)return!0}return!1}function Yg(){throw"unwind"}function _d(D){return C?Vr(4,1,D):52}function Ed(D,j,re,ce,ke){return C?Vr(5,1,D,j,re,ce,ke):70}var Zg=[null,[],[]];function Jg(D,j){var re=Zg[D];j===0||j===10?((D===1?Z:Q)(nt(re,0)),re.length=0):re.push(j)}function Ad(D,j,re,ce){if(C)return Vr(6,1,D,j,re,ce);for(var ke=0,je=0;je>2],De=u()[j+4>>2];j+=8;for(var Ot=0;Ot>2]=ke,0}function $d(D){var j=c["_"+D];return j}function Qg(D,j,re,ce,ke){var je={string:ua=>{var Go=0;if(ua!=null&&ua!==0){var z1=(ua.length<<2)+1;Go=Wd(z1),at(ua,Go,z1)}return Go},array:ua=>{var Go=Wd(ua.length);return Dg(ua,Go),Go}};function Ce(ua){return j==="string"?st(ua):j==="boolean"?Boolean(ua):ua}var De=$d(D),Ot=[],la=0;if(ce)for(var xr=0;xrCe==="number"||Ce==="boolean"),je=j!=="string";return je&&ke&&!ce?$d(D):function(){return Qg(D,j,re,arguments,ce)}}$e.init();var tb=[null,bp,Sd,Td,_d,Ed,Ad],Fd={__emscripten_init_main_thread_js:Rg,__emscripten_thread_cleanup:Mg,__pthread_create_js:Nd,_emscripten_default_pthread_stack_size:Pg,_emscripten_get_now_is_monotonic:Lg,_emscripten_notify_task_queue:zg,_emscripten_set_offscreencanvas_size:Wg,abort:Bg,emscripten_check_blocking_allowed:Vg,emscripten_date_now:Ug,emscripten_get_heap_max:Gg,emscripten_get_now:Wo,emscripten_memcpy_big:Hg,emscripten_num_logical_cores:jg,emscripten_receive_on_main_thread_js:qg,emscripten_resize_heap:Xg,emscripten_unwind_to_js_event_loop:Yg,exit:Id,fd_close:_d,fd_seek:Ed,fd_write:Ad,memory:ue||c.wasmMemory},$1=kg(),nb=c.___wasm_call_ctors=function(){return(nb=c.___wasm_call_ctors=c.asm.__wasm_call_ctors).apply(null,arguments)},ab=c._init=function(){return(ab=c._init=c.asm.init).apply(null,arguments)},rb=c._init_with_threads_count=function(){return(rb=c._init_with_threads_count=c.asm.init_with_threads_count).apply(null,arguments)},sb=c._get_threads_count=function(){return(sb=c._get_threads_count=c.asm.get_threads_count).apply(null,arguments)},ib=c._register_tensor=function(){return(ib=c._register_tensor=c.asm.register_tensor).apply(null,arguments)},ob=c._dispose_data=function(){return(ob=c._dispose_data=c.asm.dispose_data).apply(null,arguments)},lb=c._dispose=function(){return(lb=c._dispose=c.asm.dispose).apply(null,arguments)},ub=c._Abs=function(){return(ub=c._Abs=c.asm.Abs).apply(null,arguments)},pb=c._Add=function(){return(pb=c._Add=c.asm.Add).apply(null,arguments)},cb=c._AddN=function(){return(cb=c._AddN=c.asm.AddN).apply(null,arguments)},db=c._All=function(){return(db=c._All=c.asm.All).apply(null,arguments)},hb=c._Any=function(){return(hb=c._Any=c.asm.Any).apply(null,arguments)},mb=c._ArgMax=function(){return(mb=c._ArgMax=c.asm.ArgMax).apply(null,arguments)},fb=c._AvgPool=function(){return(fb=c._AvgPool=c.asm.AvgPool).apply(null,arguments)},gb=c._BatchMatMul=function(){return(gb=c._BatchMatMul=c.asm.BatchMatMul).apply(null,arguments)},bb=c._Ceil=function(){return(bb=c._Ceil=c.asm.Ceil).apply(null,arguments)},yb=c._ClipByValue=function(){return(yb=c._ClipByValue=c.asm.ClipByValue).apply(null,arguments)},xb=c._Conv2D=function(){return(xb=c._Conv2D=c.asm.Conv2D).apply(null,arguments)},vb=c._Conv2DBackpropInput=function(){return(vb=c._Conv2DBackpropInput=c.asm.Conv2DBackpropInput).apply(null,arguments)},wb=c._Cos=function(){return(wb=c._Cos=c.asm.Cos).apply(null,arguments)},kb=c._Cosh=function(){return(kb=c._Cosh=c.asm.Cosh).apply(null,arguments)},Ib=c._CropAndResize=function(){return(Ib=c._CropAndResize=c.asm.CropAndResize).apply(null,arguments)},Sb=c._Cumprod=function(){return(Sb=c._Cumprod=c.asm.Cumprod).apply(null,arguments)},Tb=c._Cumsum=function(){return(Tb=c._Cumsum=c.asm.Cumsum).apply(null,arguments)},Nb=c._DepthToSpace=function(){return(Nb=c._DepthToSpace=c.asm.DepthToSpace).apply(null,arguments)},Cb=c._DepthwiseConv2dNative=function(){return(Cb=c._DepthwiseConv2dNative=c.asm.DepthwiseConv2dNative).apply(null,arguments)},_b=c._Elu=function(){return(_b=c._Elu=c.asm.Elu).apply(null,arguments)},Eb=c._Equal=function(){return(Eb=c._Equal=c.asm.Equal).apply(null,arguments)},Ab=c._Exp=function(){return(Ab=c._Exp=c.asm.Exp).apply(null,arguments)},$b=c._FlipLeftRight=function(){return($b=c._FlipLeftRight=c.asm.FlipLeftRight).apply(null,arguments)},Fb=c._Floor=function(){return(Fb=c._Floor=c.asm.Floor).apply(null,arguments)},Db=c._FloorDiv=function(){return(Db=c._FloorDiv=c.asm.FloorDiv).apply(null,arguments)},Rb=c._FusedBatchNorm=function(){return(Rb=c._FusedBatchNorm=c.asm.FusedBatchNorm).apply(null,arguments)},Mb=c._FusedConv2D=function(){return(Mb=c._FusedConv2D=c.asm.FusedConv2D).apply(null,arguments)},Pb=c._FusedDepthwiseConv2D=function(){return(Pb=c._FusedDepthwiseConv2D=c.asm.FusedDepthwiseConv2D).apply(null,arguments)},Ob=c._Gather=function(){return(Ob=c._Gather=c.asm.Gather).apply(null,arguments)},Lb=c._GatherNd=function(){return(Lb=c._GatherNd=c.asm.GatherNd).apply(null,arguments)},zb=c._Greater=function(){return(zb=c._Greater=c.asm.Greater).apply(null,arguments)},Wb=c._GreaterEqual=function(){return(Wb=c._GreaterEqual=c.asm.GreaterEqual).apply(null,arguments)},Bb=c._LeakyRelu=function(){return(Bb=c._LeakyRelu=c.asm.LeakyRelu).apply(null,arguments)},Vb=c._Less=function(){return(Vb=c._Less=c.asm.Less).apply(null,arguments)},Ub=c._LessEqual=function(){return(Ub=c._LessEqual=c.asm.LessEqual).apply(null,arguments)},Gb=c._Log=function(){return(Gb=c._Log=c.asm.Log).apply(null,arguments)},Hb=c._LogicalAnd=function(){return(Hb=c._LogicalAnd=c.asm.LogicalAnd).apply(null,arguments)},jb=c._LogicalNot=function(){return(jb=c._LogicalNot=c.asm.LogicalNot).apply(null,arguments)},qb=c._LogicalOr=function(){return(qb=c._LogicalOr=c.asm.LogicalOr).apply(null,arguments)},Kb=c._LogicalXor=function(){return(Kb=c._LogicalXor=c.asm.LogicalXor).apply(null,arguments)},Xb=c._Max=function(){return(Xb=c._Max=c.asm.Max).apply(null,arguments)},Dd=c._MaxPool=function(){return(Dd=c._MaxPool=c.asm.MaxPool).apply(null,arguments)},Rd=c._Maximum=function(){return(Rd=c._Maximum=c.asm.Maximum).apply(null,arguments)},wp=c._Mean=function(){return(wp=c._Mean=c.asm.Mean).apply(null,arguments)},Yb=c._Min=function(){return(Yb=c._Min=c.asm.Min).apply(null,arguments)},Zb=c._Minimum=function(){return(Zb=c._Minimum=c.asm.Minimum).apply(null,arguments)},Bo=c._MirrorPad=function(){return(Bo=c._MirrorPad=c.asm.MirrorPad).apply(null,arguments)},Md=c._Multiply=function(){return(Md=c._Multiply=c.asm.Multiply).apply(null,arguments)},Vo=c._Neg=function(){return(Vo=c._Neg=c.asm.Neg).apply(null,arguments)},Uo=c._NonMaxSuppressionV3=function(){return(Uo=c._NonMaxSuppressionV3=c.asm.NonMaxSuppressionV3).apply(null,arguments)},Jb=c._NonMaxSuppressionV4=function(){return(Jb=c._NonMaxSuppressionV4=c.asm.NonMaxSuppressionV4).apply(null,arguments)},X=c._NonMaxSuppressionV5=function(){return(X=c._NonMaxSuppressionV5=c.asm.NonMaxSuppressionV5).apply(null,arguments)},se=c._NotEqual=function(){return(se=c._NotEqual=c.asm.NotEqual).apply(null,arguments)},we=c._OneHot=function(){return(we=c._OneHot=c.asm.OneHot).apply(null,arguments)},He=c._PadV2=function(){return(He=c._PadV2=c.asm.PadV2).apply(null,arguments)},wt=c._Pow=function(){return(wt=c._Pow=c.asm.Pow).apply(null,arguments)},kt=c._Prelu=function(){return(kt=c._Prelu=c.asm.Prelu).apply(null,arguments)},Ue=c._Prod=function(){return(Ue=c._Prod=c.asm.Prod).apply(null,arguments)},We=c._RealDiv=function(){return(We=c._RealDiv=c.asm.RealDiv).apply(null,arguments)},Pt=c._Relu=function(){return(Pt=c._Relu=c.asm.Relu).apply(null,arguments)},oa=c._Relu6=function(){return(oa=c._Relu6=c.asm.Relu6).apply(null,arguments)},yr=c._ResizeBilinear=function(){return(yr=c._ResizeBilinear=c.asm.ResizeBilinear).apply(null,arguments)},Pd=c._ResizeNearestNeighbor=function(){return(Pd=c._ResizeNearestNeighbor=c.asm.ResizeNearestNeighbor).apply(null,arguments)},kp=c._Reverse=function(){return(kp=c._Reverse=c.asm.Reverse).apply(null,arguments)},Qb=c._RotateWithOffset=function(){return(Qb=c._RotateWithOffset=c.asm.RotateWithOffset).apply(null,arguments)},Mn=c._Round=function(){return(Mn=c._Round=c.asm.Round).apply(null,arguments)},Ur=c._Rsqrt=function(){return(Ur=c._Rsqrt=c.asm.Rsqrt).apply(null,arguments)},Od=c._ScatterNd=function(){return(Od=c._ScatterNd=c.asm.ScatterNd).apply(null,arguments)},I$=c._SelectV2=function(){return(I$=c._SelectV2=c.asm.SelectV2).apply(null,arguments)},S$=c._Sigmoid=function(){return(S$=c._Sigmoid=c.asm.Sigmoid).apply(null,arguments)},T$=c._Sin=function(){return(T$=c._Sin=c.asm.Sin).apply(null,arguments)},N$=c._Softmax=function(){return(N$=c._Softmax=c.asm.Softmax).apply(null,arguments)},C$=c._SparseFillEmptyRows=function(){return(C$=c._SparseFillEmptyRows=c.asm.SparseFillEmptyRows).apply(null,arguments)},_$=c._SparseReshape=function(){return(_$=c._SparseReshape=c.asm.SparseReshape).apply(null,arguments)},E$=c._SparseSegmentReduction=function(){return(E$=c._SparseSegmentReduction=c.asm.SparseSegmentReduction).apply(null,arguments)},A$=c._Sqrt=function(){return(A$=c._Sqrt=c.asm.Sqrt).apply(null,arguments)},$$=c._Square=function(){return($$=c._Square=c.asm.Square).apply(null,arguments)},F$=c._SquaredDifference=function(){return(F$=c._SquaredDifference=c.asm.SquaredDifference).apply(null,arguments)},D$=c._Step=function(){return(D$=c._Step=c.asm.Step).apply(null,arguments)},R$=c._StridedSlice=function(){return(R$=c._StridedSlice=c.asm.StridedSlice).apply(null,arguments)},M$=c._Sub=function(){return(M$=c._Sub=c.asm.Sub).apply(null,arguments)},P$=c._Sum=function(){return(P$=c._Sum=c.asm.Sum).apply(null,arguments)},O$=c._Tan=function(){return(O$=c._Tan=c.asm.Tan).apply(null,arguments)},L$=c._Tanh=function(){return(L$=c._Tanh=c.asm.Tanh).apply(null,arguments)},z$=c._Tile=function(){return(z$=c._Tile=c.asm.Tile).apply(null,arguments)},W$=c._TopK=function(){return(W$=c._TopK=c.asm.TopK).apply(null,arguments)},B$=c._Transform=function(){return(B$=c._Transform=c.asm.Transform).apply(null,arguments)},V$=c._Transpose=function(){return(V$=c._Transpose=c.asm.Transpose).apply(null,arguments)},U$=c.__FusedMatMul=function(){return(U$=c.__FusedMatMul=c.asm._FusedMatMul).apply(null,arguments)},G$=c._malloc=function(){return(G$=c._malloc=c.asm.malloc).apply(null,arguments)},H$=c._free=function(){return(H$=c._free=c.asm.free).apply(null,arguments)},j$=c.__emscripten_tls_init=function(){return(j$=c.__emscripten_tls_init=c.asm._emscripten_tls_init).apply(null,arguments)},Ld=c._pthread_self=function(){return(Ld=c._pthread_self=c.asm.pthread_self).apply(null,arguments)},q$=c.___errno_location=function(){return(q$=c.___errno_location=c.asm.__errno_location).apply(null,arguments)},F1=c.__emscripten_thread_init=function(){return(F1=c.__emscripten_thread_init=c.asm._emscripten_thread_init).apply(null,arguments)},K$=c.__emscripten_thread_crashed=function(){return(K$=c.__emscripten_thread_crashed=c.asm._emscripten_thread_crashed).apply(null,arguments)},X$=c._emscripten_main_thread_process_queued_calls=function(){return(X$=c._emscripten_main_thread_process_queued_calls=c.asm.emscripten_main_thread_process_queued_calls).apply(null,arguments)},Y$=c._emscripten_main_browser_thread_id=function(){return(Y$=c._emscripten_main_browser_thread_id=c.asm.emscripten_main_browser_thread_id).apply(null,arguments)},D1=c._emscripten_run_in_main_runtime_thread_js=function(){return(D1=c._emscripten_run_in_main_runtime_thread_js=c.asm.emscripten_run_in_main_runtime_thread_js).apply(null,arguments)},Z$=c._emscripten_dispatch_to_thread_=function(){return(Z$=c._emscripten_dispatch_to_thread_=c.asm.emscripten_dispatch_to_thread_).apply(null,arguments)},R1=c.__emscripten_proxy_execute_task_queue=function(){return(R1=c.__emscripten_proxy_execute_task_queue=c.asm._emscripten_proxy_execute_task_queue).apply(null,arguments)},ey=c.__emscripten_thread_free_data=function(){return(ey=c.__emscripten_thread_free_data=c.asm._emscripten_thread_free_data).apply(null,arguments)},M1=c.__emscripten_thread_exit=function(){return(M1=c.__emscripten_thread_exit=c.asm._emscripten_thread_exit).apply(null,arguments)},P1=c._emscripten_stack_set_limits=function(){return(P1=c._emscripten_stack_set_limits=c.asm.emscripten_stack_set_limits).apply(null,arguments)},ty=c.stackSave=function(){return(ty=c.stackSave=c.asm.stackSave).apply(null,arguments)},zd=c.stackRestore=function(){return(zd=c.stackRestore=c.asm.stackRestore).apply(null,arguments)},Wd=c.stackAlloc=function(){return(Wd=c.stackAlloc=c.asm.stackAlloc).apply(null,arguments)},J$=c.dynCall_iijjiiii=function(){return(J$=c.dynCall_iijjiiii=c.asm.dynCall_iijjiiii).apply(null,arguments)},Q$=c.dynCall_jiji=function(){return(Q$=c.dynCall_jiji=c.asm.dynCall_jiji).apply(null,arguments)};c.keepRuntimeAlive=wa,c.wasmMemory=ue,c.cwrap=eb,c.ExitStatus=Rs,c.PThread=$e;var Bd;br=function D(){Bd||O1(),Bd||(br=D)};function O1(D){if(D=D||b,Br>0)return;if(C){h(c),Xt(),postMessage({cmd:"loaded"});return}if(Po(),Br>0)return;function j(){Bd||(Bd=!0,c.calledRun=!0,!Ie&&(Xt(),h(c),c.onRuntimeInitialized&&c.onRuntimeInitialized(),yd()))}c.setStatus?(c.setStatus("Running..."),setTimeout(function(){setTimeout(function(){c.setStatus("")},1),j()},1)):j()}if(c.preInit)for(typeof c.preInit=="function"&&(c.preInit=[c.preInit]);c.preInit.length>0;)c.preInit.pop()();O1();var Vd;f&&(Vd={uncaughtException:process.listeners("uncaughtException").filter(function(D){return!f.uncaughtException.indexOf(D)>-1}),unhandledRejection:process.listeners("unhandledRejection").filter(function(D){return!f.unhandledRejection.indexOf(D)>-1})});var Ud;if(typeof WasmBackendModule!="undefined")Ud=WasmBackendModule;else if(typeof r!="undefined")Ud=r;else throw new Error("Could not find wasm module in post.js");if(Vd){var eF=Ud._dispose;Ud._dispose=function(){eF(),Vd.uncaughtException.forEach(function(D){process.removeListener("uncaughtException",D)}),Vd.unhandledRejection.forEach(function(D){process.removeListener("unhandledRejection",D)})}}return r.ready}})();typeof e=="object"&&typeof t=="object"?t.exports=n:typeof define=="function"&&define.amd?define([],function(){return n}):typeof e=="object"&&(e.WasmBackendModuleThreadedSimd=n)}),SF=Bt((e,t)=>{t.exports.wasmWorkerContents=`"use strict";var Module={};var ENVIRONMENT_IS_NODE=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string";if(ENVIRONMENT_IS_NODE){var nodeWorkerThreads=require("worker_threads");var parentPort=nodeWorkerThreads.parentPort;parentPort.on("message",data=>onmessage({data:data}));var fs=require("fs");Object.assign(global,{self:global,require:require,Module:Module,location:{href:__filename},Worker:nodeWorkerThreads.Worker,importScripts:function(f){(0,eval)(fs.readFileSync(f,"utf8"))},postMessage:function(msg){parentPort.postMessage(msg)},performance:global.performance||{now:function(){return Date.now()}}})}var initializedJS=false;var pendingNotifiedProxyingQueues=[];function threadPrintErr(){var text=Array.prototype.slice.call(arguments).join(" ");if(ENVIRONMENT_IS_NODE){fs.writeSync(2,text+" +");return}console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(" ");postMessage({cmd:"alert",text:text,threadId:Module["_pthread_self"]()})}var err=threadPrintErr;self.alert=threadAlert;Module["instantiateWasm"]=(info,receiveInstance)=>{var instance=new WebAssembly.Instance(Module["wasmModule"],info);receiveInstance(instance);Module["wasmModule"]=null;return instance.exports};self.onunhandledrejection=e=>{throw e.reason??e};self.onmessage=e=>{try{if(e.data.cmd==="load"){Module["wasmModule"]=e.data.wasmModule;Module["wasmMemory"]=e.data.wasmMemory;Module["buffer"]=Module["wasmMemory"].buffer;Module["ENVIRONMENT_IS_PTHREAD"]=true;if(typeof e.data.urlOrBlob=="string"){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}WasmBackendModuleThreadedSimd(Module).then(function(instance){Module=instance})}else if(e.data.cmd==="run"){Module["__performance_now_clock_drift"]=performance.now()-e.data.time;Module["__emscripten_thread_init"](e.data.pthread_ptr,0,0,1);Module["establishStackSpace"]();Module["PThread"].receiveObjectTransfer(e.data);Module["PThread"].threadInitTLS();if(!initializedJS){pendingNotifiedProxyingQueues.forEach(queue=>{Module["executeNotifiedProxyingQueue"](queue)});pendingNotifiedProxyingQueues=[];initializedJS=true}try{Module["invokeEntryPoint"](e.data.start_routine,e.data.arg)}catch(ex){if(ex!="unwind"){if(ex instanceof Module["ExitStatus"]){if(Module["keepRuntimeAlive"]()){}else{Module["__emscripten_thread_exit"](ex.status)}}else{throw ex}}}}else if(e.data.cmd==="cancel"){if(Module["_pthread_self"]()){Module["__emscripten_thread_exit"](-1)}}else if(e.data.target==="setimmediate"){}else if(e.data.cmd==="processProxyingQueue"){if(initializedJS){Module["executeNotifiedProxyingQueue"](e.data.queue)}else{pendingNotifiedProxyingQueues.push(e.data.queue)}}else if(e.data.cmd){err("worker.js received unknown command "+e.data.cmd);err(e.data)}}catch(ex){if(Module["__emscripten_thread_crashed"]){Module["__emscripten_thread_crashed"]()}throw ex}};`}),TF=Bt((e,t)=>{var n=(()=>{var a=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(a=a||__filename),function(r){r=r||{};var s=typeof r!="undefined"?r:{},i,o;s.ready=new Promise(function(X,se){i=X,o=se});var l;typeof process!="undefined"&&process.listeners&&(l={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var u=Object.assign({},s),p=[],d="./this.program",c=(X,se)=>{throw se},h=typeof window=="object",m=typeof importScripts=="function",f=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",g="";function b(X){return s.locateFile?s.locateFile(X,g):g+X}var y,x,w,I;function T(X){X instanceof Oo||R("exiting due to exception: "+X)}if(f){m?g=dh().dirname(g)+"/":g=__dirname+"/";var C,E;typeof xI=="function"&&(C=xx(),E=dh()),y=(X,se)=>(X=E.normalize(X),C.readFileSync(X,se?void 0:"utf8")),w=X=>{var se=y(X,!0);return se.buffer||(se=new Uint8Array(se)),se},x=(X,se,we)=>{X=E.normalize(X),C.readFile(X,function(He,wt){He?we(He):se(wt.buffer)})},process.argv.length>1&&(d=process.argv[1].replace(/\\/g,"/")),p=process.argv.slice(2),process.on("uncaughtException",function(X){if(!(X instanceof Oo))throw X}),process.on("unhandledRejection",function(X){throw X}),c=(X,se)=>{if(Hn())throw process.exitCode=X,se;T(se),process.exit(X)},s.inspect=function(){return"[Emscripten Module object]"}}else(h||m)&&(m?g=self.location.href:typeof document!="undefined"&&document.currentScript&&(g=document.currentScript.src),a&&(g=a),g.indexOf("blob:")!==0?g=g.substr(0,g.replace(/[?#].*/,"").lastIndexOf("/")+1):g="",y=X=>{var se=new XMLHttpRequest;return se.open("GET",X,!1),se.send(null),se.responseText},m&&(w=X=>{var se=new XMLHttpRequest;return se.open("GET",X,!1),se.responseType="arraybuffer",se.send(null),new Uint8Array(se.response)}),x=(X,se,we)=>{var He=new XMLHttpRequest;He.open("GET",X,!0),He.responseType="arraybuffer",He.onload=()=>{if(He.status==200||He.status==0&&He.response){se(He.response);return}we()},He.onerror=we,He.send(null)},I=X=>document.title=X);var A=s.print||console.log.bind(console),R=s.printErr||console.warn.bind(console);Object.assign(s,u),u=null,s.arguments&&(p=s.arguments),s.thisProgram&&(d=s.thisProgram),s.quit&&(c=s.quit);var F=4,S;s.wasmBinary&&(S=s.wasmBinary);var M=s.noExitRuntime||!0;typeof WebAssembly!="object"&&Ja("no native wasm support detected");var B,U=!1,G;function q(X,se){X||Ja(se)}var K=typeof TextDecoder!="undefined"?new TextDecoder("utf8"):void 0;function Z(X,se,we){for(var He=se+we,wt=se;X[wt]&&!(wt>=He);)++wt;if(wt-se>16&&X.buffer&&K)return K.decode(X.subarray(se,wt));for(var kt="";se>10,56320|oa&1023)}}return kt}function Q(X,se){return X?Z(ie,X,se):""}function ee(X,se,we,He){if(!(He>0))return 0;for(var wt=we,kt=we+He-1,Ue=0;Ue=55296&&We<=57343){var Pt=X.charCodeAt(++Ue);We=65536+((We&1023)<<10)|Pt&1023}if(We<=127){if(we>=kt)break;se[we++]=We}else if(We<=2047){if(we+1>=kt)break;se[we++]=192|We>>6,se[we++]=128|We&63}else if(We<=65535){if(we+2>=kt)break;se[we++]=224|We>>12,se[we++]=128|We>>6&63,se[we++]=128|We&63}else{if(we+3>=kt)break;se[we++]=240|We>>18,se[we++]=128|We>>12&63,se[we++]=128|We>>6&63,se[we++]=128|We&63}}return se[we]=0,we-wt}function ae(X,se,we){return ee(X,ie,se,we)}var te,le,ie,be,ue,xe,Ie,Se,Le;function Ve(X){te=X,s.HEAP8=le=new Int8Array(X),s.HEAP16=be=new Int16Array(X),s.HEAP32=xe=new Int32Array(X),s.HEAPU8=ie=new Uint8Array(X),s.HEAPU16=ue=new Uint16Array(X),s.HEAPU32=Ie=new Uint32Array(X),s.HEAPF32=Se=new Float32Array(X),s.HEAPF64=Le=new Float64Array(X)}var nt=s.INITIAL_MEMORY||16777216,st,Je=[],at=[],ze=[],dt=!1;function Hn(){return M}function Mt(){if(s.preRun)for(typeof s.preRun=="function"&&(s.preRun=[s.preRun]);s.preRun.length;)Fn(s.preRun.shift());br(Je)}function sa(){dt=!0,br(at)}function sn(){if(s.postRun)for(typeof s.postRun=="function"&&(s.postRun=[s.postRun]);s.postRun.length;)Dn(s.postRun.shift());br(ze)}function Fn(X){Je.unshift(X)}function ia(X){at.unshift(X)}function Dn(X){ze.unshift(X)}var it=0,Rn=null,jn=null;function gr(X){it++,s.monitorRunDependencies&&s.monitorRunDependencies(it)}function Mo(X){if(it--,s.monitorRunDependencies&&s.monitorRunDependencies(it),it==0&&(Rn!==null&&(clearInterval(Rn),Rn=null),jn)){var se=jn;jn=null,se()}}function Ja(X){s.onAbort&&s.onAbort(X),X="Aborted("+X+")",R(X),U=!0,G=1,X+=". Build with -sASSERTIONS for more info.";var se=new WebAssembly.RuntimeError(X);throw o(se),se}var mp="data:application/octet-stream;base64,";function wa(X){return X.startsWith(mp)}function Po(X){return X.startsWith("file://")}var Xt;Xt="tfjs-backend-wasm.wasm",wa(Xt)||(Xt=b(Xt));function yd(X){try{if(X==Xt&&S)return new Uint8Array(S);if(w)return w(X);throw"both async and sync fetching of the wasm failed"}catch(se){Ja(se)}}function yg(){if(!S&&(h||m)){if(typeof fetch=="function"&&!Po(Xt))return fetch(Xt,{credentials:"same-origin"}).then(function(X){if(!X.ok)throw"failed to load wasm binary file at '"+Xt+"'";return X.arrayBuffer()}).catch(function(){return yd(Xt)});if(x)return new Promise(function(X,se){x(Xt,function(we){X(new Uint8Array(we))},se)})}return Promise.resolve().then(function(){return yd(Xt)})}function xg(){var X={env:bp,wasi_snapshot_preview1:bp};function se(Ue,We){var Pt=Ue.exports;s.asm=Pt,B=s.asm.memory,Ve(B.buffer),st=s.asm.__indirect_function_table,ia(s.asm.__wasm_call_ctors),Mo("wasm-instantiate")}gr("wasm-instantiate");function we(Ue){se(Ue.instance)}function He(Ue){return yg().then(function(We){return WebAssembly.instantiate(We,X)}).then(function(We){return We}).then(Ue,function(We){R("failed to asynchronously prepare wasm: "+We),Ja(We)})}function wt(){return!S&&typeof WebAssembly.instantiateStreaming=="function"&&!wa(Xt)&&!Po(Xt)&&!f&&typeof fetch=="function"?fetch(Xt,{credentials:"same-origin"}).then(function(Ue){var We=WebAssembly.instantiateStreaming(Ue,X);return We.then(we,function(Pt){return R("wasm streaming compile failed: "+Pt),R("falling back to ArrayBuffer instantiation"),He(we)})}):He(we)}if(s.instantiateWasm)try{var kt=s.instantiateWasm(X,se);return kt}catch(Ue){R("Module.instantiateWasm callback failed with error: "+Ue),o(Ue)}return wt().catch(o),{}}var I1,Br;function Oo(X){this.name="ExitStatus",this.message="Program terminated with exit("+X+")",this.status=X}function br(X){for(;X.length>0;)X.shift()(s)}function S1(X){return X}function T1(X){var se=/\b_Z[\w\d_]+/g;return X.replace(se,function(we){var He=we;return we===He?we:He+" ["+we+"]"})}function Lo(){var X=new Error;if(!X.stack){try{throw new Error}catch(se){X=se}if(!X.stack)return"(no stack trace available)"}return X.stack.toString()}function vg(X,se){le.set(X,se)}function xd(){Ja("")}function fp(){return 2147483648}function bn(){return fp()}function vd(X,se,we){ie.copyWithin(X,se,se+we)}function wg(X){try{return B.grow(X-te.byteLength+65535>>>16),Ve(B.buffer),1}catch(se){}}function kg(X){var se=ie.length;X=X>>>0;var we=fp();if(X>we)return!1;let He=(Pt,oa)=>Pt+(oa-Pt%oa)%oa;for(var wt=1;wt<=4;wt*=2){var kt=se*(1+.2/wt);kt=Math.min(kt,X+100663296);var Ue=Math.min(we,He(Math.max(X,kt),65536)),We=wg(Ue);if(We)return!0}return!1}var Ig={varargs:void 0,get:function(){Ig.varargs+=4;var X=xe[Ig.varargs-4>>2];return X},getStr:function(X){var se=Q(X);return se}};function N1(X){return 52}function Sg(X,se,we,He,wt){return 70}var Rs=[null,[],[]];function Tg(X,se){var we=Rs[X];se===0||se===10?((X===1?A:R)(Z(we,0)),we.length=0):we.push(se)}function Ng(X,se,we,He){for(var wt=0,kt=0;kt>2],We=Ie[se+4>>2];se+=8;for(var Pt=0;Pt>2]=wt,0}function gp(X){var se=s["_"+X];return se}function wd(X,se,we,He,wt){var kt={string:Mn=>{var Ur=0;if(Mn!=null&&Mn!==0){var Od=(Mn.length<<2)+1;Ur=wp(Od),ae(Mn,Ur,Od)}return Ur},array:Mn=>{var Ur=wp(Mn.length);return vg(Mn,Ur),Ur}};function Ue(Mn){return se==="string"?Q(Mn):se==="boolean"?Boolean(Mn):Mn}var We=gp(X),Pt=[],oa=0;if(He)for(var yr=0;yrUe==="number"||Ue==="boolean"),kt=se!=="string";return kt&&wt&&!He?gp(X):function(){return wd(X,se,we,arguments,He)}}var bp={abort:xd,emscripten_get_heap_max:bn,emscripten_memcpy_big:vd,emscripten_resize_heap:kg,fd_close:N1,fd_seek:Sg,fd_write:Ng},C1=xg(),Id=s.___wasm_call_ctors=function(){return(Id=s.___wasm_call_ctors=s.asm.__wasm_call_ctors).apply(null,arguments)},Cg=s._init=function(){return(Cg=s._init=s.asm.init).apply(null,arguments)},$e=s._init_with_threads_count=function(){return($e=s._init_with_threads_count=s.asm.init_with_threads_count).apply(null,arguments)},yp=s._get_threads_count=function(){return(yp=s._get_threads_count=s.asm.get_threads_count).apply(null,arguments)},_g=s._register_tensor=function(){return(_g=s._register_tensor=s.asm.register_tensor).apply(null,arguments)},_1=s._dispose_data=function(){return(_1=s._dispose_data=s.asm.dispose_data).apply(null,arguments)},E1=s._dispose=function(){return(E1=s._dispose=s.asm.dispose).apply(null,arguments)},Eg=s._Abs=function(){return(Eg=s._Abs=s.asm.Abs).apply(null,arguments)},Sd=s._Add=function(){return(Sd=s._Add=s.asm.Add).apply(null,arguments)},zo=s._AddN=function(){return(zo=s._AddN=s.asm.AddN).apply(null,arguments)},Ag=s._All=function(){return(Ag=s._All=s.asm.All).apply(null,arguments)},$g=s._Any=function(){return($g=s._Any=s.asm.Any).apply(null,arguments)},A1=s._ArgMax=function(){return(A1=s._ArgMax=s.asm.ArgMax).apply(null,arguments)},Fg=s._AvgPool=function(){return(Fg=s._AvgPool=s.asm.AvgPool).apply(null,arguments)},Dg=s._BatchMatMul=function(){return(Dg=s._BatchMatMul=s.asm.BatchMatMul).apply(null,arguments)},Rg=s._Ceil=function(){return(Rg=s._Ceil=s.asm.Ceil).apply(null,arguments)},Mg=s._ClipByValue=function(){return(Mg=s._ClipByValue=s.asm.ClipByValue).apply(null,arguments)},Td=s._Conv2D=function(){return(Td=s._Conv2D=s.asm.Conv2D).apply(null,arguments)},Nd=s._Conv2DBackpropInput=function(){return(Nd=s._Conv2DBackpropInput=s.asm.Conv2DBackpropInput).apply(null,arguments)},Pg=s._Cos=function(){return(Pg=s._Cos=s.asm.Cos).apply(null,arguments)},Og=s._Cosh=function(){return(Og=s._Cosh=s.asm.Cosh).apply(null,arguments)},Lg=s._CropAndResize=function(){return(Lg=s._CropAndResize=s.asm.CropAndResize).apply(null,arguments)},xp=s._Cumprod=function(){return(xp=s._Cumprod=s.asm.Cumprod).apply(null,arguments)},zg=s._Cumsum=function(){return(zg=s._Cumsum=s.asm.Cumsum).apply(null,arguments)},Wg=s._DepthToSpace=function(){return(Wg=s._DepthToSpace=s.asm.DepthToSpace).apply(null,arguments)},Bg=s._DepthwiseConv2dNative=function(){return(Bg=s._DepthwiseConv2dNative=s.asm.DepthwiseConv2dNative).apply(null,arguments)},Ms=s._Elu=function(){return(Ms=s._Elu=s.asm.Elu).apply(null,arguments)},Vg=s._Equal=function(){return(Vg=s._Equal=s.asm.Equal).apply(null,arguments)},Ug=s._Exp=function(){return(Ug=s._Exp=s.asm.Exp).apply(null,arguments)},Cd=s._FlipLeftRight=function(){return(Cd=s._FlipLeftRight=s.asm.FlipLeftRight).apply(null,arguments)},Gg=s._Floor=function(){return(Gg=s._Floor=s.asm.Floor).apply(null,arguments)},Wo=s._FloorDiv=function(){return(Wo=s._FloorDiv=s.asm.FloorDiv).apply(null,arguments)},Hg=s._FusedBatchNorm=function(){return(Hg=s._FusedBatchNorm=s.asm.FusedBatchNorm).apply(null,arguments)},jg=s._FusedConv2D=function(){return(jg=s._FusedConv2D=s.asm.FusedConv2D).apply(null,arguments)},Vr=s._FusedDepthwiseConv2D=function(){return(Vr=s._FusedDepthwiseConv2D=s.asm.FusedDepthwiseConv2D).apply(null,arguments)},vp=s._Gather=function(){return(vp=s._Gather=s.asm.Gather).apply(null,arguments)},qg=s._GatherNd=function(){return(qg=s._GatherNd=s.asm.GatherNd).apply(null,arguments)},Kg=s._Greater=function(){return(Kg=s._Greater=s.asm.Greater).apply(null,arguments)},Xg=s._GreaterEqual=function(){return(Xg=s._GreaterEqual=s.asm.GreaterEqual).apply(null,arguments)},Yg=s._LeakyRelu=function(){return(Yg=s._LeakyRelu=s.asm.LeakyRelu).apply(null,arguments)},_d=s._Less=function(){return(_d=s._Less=s.asm.Less).apply(null,arguments)},Ed=s._LessEqual=function(){return(Ed=s._LessEqual=s.asm.LessEqual).apply(null,arguments)},Zg=s._Log=function(){return(Zg=s._Log=s.asm.Log).apply(null,arguments)},Jg=s._LogicalAnd=function(){return(Jg=s._LogicalAnd=s.asm.LogicalAnd).apply(null,arguments)},Ad=s._LogicalNot=function(){return(Ad=s._LogicalNot=s.asm.LogicalNot).apply(null,arguments)},$d=s._LogicalOr=function(){return($d=s._LogicalOr=s.asm.LogicalOr).apply(null,arguments)},Qg=s._LogicalXor=function(){return(Qg=s._LogicalXor=s.asm.LogicalXor).apply(null,arguments)},eb=s._Max=function(){return(eb=s._Max=s.asm.Max).apply(null,arguments)},tb=s._MaxPool=function(){return(tb=s._MaxPool=s.asm.MaxPool).apply(null,arguments)},Fd=s._Maximum=function(){return(Fd=s._Maximum=s.asm.Maximum).apply(null,arguments)},$1=s._Mean=function(){return($1=s._Mean=s.asm.Mean).apply(null,arguments)},nb=s._Min=function(){return(nb=s._Min=s.asm.Min).apply(null,arguments)},ab=s._Minimum=function(){return(ab=s._Minimum=s.asm.Minimum).apply(null,arguments)},rb=s._MirrorPad=function(){return(rb=s._MirrorPad=s.asm.MirrorPad).apply(null,arguments)},sb=s._Multiply=function(){return(sb=s._Multiply=s.asm.Multiply).apply(null,arguments)},ib=s._Neg=function(){return(ib=s._Neg=s.asm.Neg).apply(null,arguments)},ob=s._NonMaxSuppressionV3=function(){return(ob=s._NonMaxSuppressionV3=s.asm.NonMaxSuppressionV3).apply(null,arguments)},lb=s._NonMaxSuppressionV4=function(){return(lb=s._NonMaxSuppressionV4=s.asm.NonMaxSuppressionV4).apply(null,arguments)},ub=s._NonMaxSuppressionV5=function(){return(ub=s._NonMaxSuppressionV5=s.asm.NonMaxSuppressionV5).apply(null,arguments)},pb=s._NotEqual=function(){return(pb=s._NotEqual=s.asm.NotEqual).apply(null,arguments)},cb=s._OneHot=function(){return(cb=s._OneHot=s.asm.OneHot).apply(null,arguments)},db=s._PadV2=function(){return(db=s._PadV2=s.asm.PadV2).apply(null,arguments)},hb=s._Pow=function(){return(hb=s._Pow=s.asm.Pow).apply(null,arguments)},mb=s._Prelu=function(){return(mb=s._Prelu=s.asm.Prelu).apply(null,arguments)},fb=s._Prod=function(){return(fb=s._Prod=s.asm.Prod).apply(null,arguments)},gb=s._RealDiv=function(){return(gb=s._RealDiv=s.asm.RealDiv).apply(null,arguments)},bb=s._Relu=function(){return(bb=s._Relu=s.asm.Relu).apply(null,arguments)},yb=s._Relu6=function(){return(yb=s._Relu6=s.asm.Relu6).apply(null,arguments)},xb=s._ResizeBilinear=function(){return(xb=s._ResizeBilinear=s.asm.ResizeBilinear).apply(null,arguments)},vb=s._ResizeNearestNeighbor=function(){return(vb=s._ResizeNearestNeighbor=s.asm.ResizeNearestNeighbor).apply(null,arguments)},wb=s._Reverse=function(){return(wb=s._Reverse=s.asm.Reverse).apply(null,arguments)},kb=s._RotateWithOffset=function(){return(kb=s._RotateWithOffset=s.asm.RotateWithOffset).apply(null,arguments)},Ib=s._Round=function(){return(Ib=s._Round=s.asm.Round).apply(null,arguments)},Sb=s._Rsqrt=function(){return(Sb=s._Rsqrt=s.asm.Rsqrt).apply(null,arguments)},Tb=s._ScatterNd=function(){return(Tb=s._ScatterNd=s.asm.ScatterNd).apply(null,arguments)},Nb=s._SelectV2=function(){return(Nb=s._SelectV2=s.asm.SelectV2).apply(null,arguments)},Cb=s._Sigmoid=function(){return(Cb=s._Sigmoid=s.asm.Sigmoid).apply(null,arguments)},_b=s._Sin=function(){return(_b=s._Sin=s.asm.Sin).apply(null,arguments)},Eb=s._Softmax=function(){return(Eb=s._Softmax=s.asm.Softmax).apply(null,arguments)},Ab=s._SparseFillEmptyRows=function(){return(Ab=s._SparseFillEmptyRows=s.asm.SparseFillEmptyRows).apply(null,arguments)},$b=s._SparseReshape=function(){return($b=s._SparseReshape=s.asm.SparseReshape).apply(null,arguments)},Fb=s._SparseSegmentReduction=function(){return(Fb=s._SparseSegmentReduction=s.asm.SparseSegmentReduction).apply(null,arguments)},Db=s._Sqrt=function(){return(Db=s._Sqrt=s.asm.Sqrt).apply(null,arguments)},Rb=s._Square=function(){return(Rb=s._Square=s.asm.Square).apply(null,arguments)},Mb=s._SquaredDifference=function(){return(Mb=s._SquaredDifference=s.asm.SquaredDifference).apply(null,arguments)},Pb=s._Step=function(){return(Pb=s._Step=s.asm.Step).apply(null,arguments)},Ob=s._StridedSlice=function(){return(Ob=s._StridedSlice=s.asm.StridedSlice).apply(null,arguments)},Lb=s._Sub=function(){return(Lb=s._Sub=s.asm.Sub).apply(null,arguments)},zb=s._Sum=function(){return(zb=s._Sum=s.asm.Sum).apply(null,arguments)},Wb=s._Tan=function(){return(Wb=s._Tan=s.asm.Tan).apply(null,arguments)},Bb=s._Tanh=function(){return(Bb=s._Tanh=s.asm.Tanh).apply(null,arguments)},Vb=s._Tile=function(){return(Vb=s._Tile=s.asm.Tile).apply(null,arguments)},Ub=s._TopK=function(){return(Ub=s._TopK=s.asm.TopK).apply(null,arguments)},Gb=s._Transform=function(){return(Gb=s._Transform=s.asm.Transform).apply(null,arguments)},Hb=s._Transpose=function(){return(Hb=s._Transpose=s.asm.Transpose).apply(null,arguments)},jb=s.__FusedMatMul=function(){return(jb=s.__FusedMatMul=s.asm._FusedMatMul).apply(null,arguments)},qb=s._malloc=function(){return(qb=s._malloc=s.asm.malloc).apply(null,arguments)},Kb=s._free=function(){return(Kb=s._free=s.asm.free).apply(null,arguments)},Xb=s.___errno_location=function(){return(Xb=s.___errno_location=s.asm.__errno_location).apply(null,arguments)},Dd=s.stackSave=function(){return(Dd=s.stackSave=s.asm.stackSave).apply(null,arguments)},Rd=s.stackRestore=function(){return(Rd=s.stackRestore=s.asm.stackRestore).apply(null,arguments)},wp=s.stackAlloc=function(){return(wp=s.stackAlloc=s.asm.stackAlloc).apply(null,arguments)},Yb=s.dynCall_iijjiiii=function(){return(Yb=s.dynCall_iijjiiii=s.asm.dynCall_iijjiiii).apply(null,arguments)},Zb=s.dynCall_jiji=function(){return(Zb=s.dynCall_jiji=s.asm.dynCall_jiji).apply(null,arguments)};s.cwrap=kd;var Bo;jn=function X(){Bo||Md(),Bo||(jn=X)};function Md(X){if(X=X||p,it>0||(Mt(),it>0))return;function se(){Bo||(Bo=!0,s.calledRun=!0,!U&&(sa(),i(s),s.onRuntimeInitialized&&s.onRuntimeInitialized(),sn()))}s.setStatus?(s.setStatus("Running..."),setTimeout(function(){setTimeout(function(){s.setStatus("")},1),se()},1)):se()}if(s.preInit)for(typeof s.preInit=="function"&&(s.preInit=[s.preInit]);s.preInit.length>0;)s.preInit.pop()();Md();var Vo;l&&(Vo={uncaughtException:process.listeners("uncaughtException").filter(function(X){return!l.uncaughtException.indexOf(X)>-1}),unhandledRejection:process.listeners("unhandledRejection").filter(function(X){return!l.unhandledRejection.indexOf(X)>-1})});var Uo;if(typeof r!="undefined")Uo=r;else if(typeof WasmBackendModuleThreadedSimd!="undefined")Uo=WasmBackendModuleThreadedSimd;else throw new Error("Could not find wasm module in post.js");if(Vo){var Jb=Uo._dispose;Uo._dispose=function(){Jb(),Vo.uncaughtException.forEach(function(X){process.removeListener("uncaughtException",X)}),Vo.unhandledRejection.forEach(function(X){process.removeListener("unhandledRejection",X)})}}return r.ready}})();typeof e=="object"&&typeof t=="object"?t.exports=n:typeof define=="function"&&define.amd?define([],function(){return n}):typeof e=="object"&&(e.WasmBackendModule=n)}),jh=class{constructor(e,t){this.backend=e,this.dataMover=t,this.data=new WeakMap,this.dataIdsCount=0}get(e){return this.data.has(e)||this.dataMover.moveData(this.backend,e),this.data.get(e)}set(e,t){this.dataIdsCount++,this.data.set(e,t)}has(e){return this.data.has(e)}delete(e){return this.dataIdsCount--,this.data.delete(e)}numDataIds(){return this.dataIdsCount}},rc=class{refCount(e){return qn("refCount")}incRef(e){return qn("incRef")}timerAvailable(){return!0}time(e){return qn("time")}read(e){return qn("read")}readSync(e){return qn("readSync")}readToGPU(e,t){return qn("readToGPU")}numDataIds(){return qn("numDataIds")}disposeData(e,t){return qn("disposeData")}write(e,t,n){return qn("write")}move(e,t,n,a,r){return qn("move")}createTensorFromTexture(e,t,n){return qn("createTensorFromTexture")}memory(){return qn("memory")}floatPrecision(){return qn("floatPrecision")}epsilon(){return this.floatPrecision()===32?1e-7:1e-4}dispose(){return qn("dispose")}};function qn(e){throw new Error(`'${e}' not yet implemented or not found in the registry. This kernel may not be supported by the tfjs backend you have chosen`)}function wI(e){let t=e.length,n=0;for(;t>0;)n=Math.random()*t|0,t--,hh(e,t,n)}function NF(e,t){if(e.length!==t.length)throw new Error(`Array sizes must match to be shuffled together First array length was ${e.length}Second array length was ${t.length}`);let n=e.length,a=0;for(;n>0;)a=Math.random()*n|0,n--,hh(e,n,a),hh(t,n,a)}function Vp(e,t,n){return Math.max(e,Math.min(t,n))}function CF(e){return e%2===0?e:e+1}function hh(e,t,n){let a=e[t];e[t]=e[n],e[n]=a}function _F(e){let t=0;for(let n=0;nn+` Shapes ${e} and ${t} must match`)}function hi(e){$(e!=null,()=>"The input to the tensor constructor must be a non-null value.")}function Zs(e,t=[],n=!1){if(t==null&&(t=[]),Array.isArray(e)||hn(e)&&!n)for(let a=0;a0,n,a){return new Promise((r,s)=>{let i=0,o=()=>{if(e()){r();return}i++;let l=t(i);if(n!=null&&i>=n){s();return}a!=null?a(o,l):setTimeout(o,l)};o()})}function PF(e,t){let n=1,a=-1;for(let s=0;s=0)n*=e[s];else if(e[s]===-1){if(a!==-1)throw Error(`Shapes can only have 1 implicit size. Found -1 at dim ${a} and dim ${s}`);a=s}else if(e[s]<0)throw Error(`Shapes can not be < 0. Found ${e[s]} at dim ${s}`);if(a===-1){if(t>0&&t!==n)throw Error(`Size(${t}) must match the product of shape ${e}`);return e}if(n===0)throw Error(`Cannot infer the missing size in [${e}] when there are 0 elements`);if(t%n!==0)throw Error(`The implicit shape can't be a fractional number. Got ${t} / ${n}`);let r=e.slice();return r[a]=t/n,r}function Aa(e,t){let n=t.length;return e=e==null?t.map((a,r)=>r):[].concat(e),$(e.every(a=>a>=-n&&a`All values in axis param must be in range [-${n}, ${n}) but got axis ${e}`),$(e.every(a=>tl(a)),()=>`All values in axis param must be integers but got axis ${e}`),e.map(a=>a<0?n+a:a)}function kI(e,t){let n=[],a=[],r=t!=null&&Array.isArray(t)&&t.length===0,s=t==null||r?null:Aa(t,e).sort(),i=0;for(let o=0;oo)&&e[o]===1&&(n.push(e[o]),a.push(o)),s[i]<=o&&i++}e[o]!==1&&(n.push(e[o]),a.push(o))}return{newShape:n,keptDims:a}}function II(e,t){let n=null;if(e==null||e==="float32")n=new Float32Array(t);else if(e==="int32")n=new Int32Array(t);else if(e==="bool")n=new Uint8Array(t);else throw new Error(`Unknown data type ${e}`);return n}function SI(e,t){let n=null;if(e==null||e==="float32")n=new Float32Array(t);else if(e==="int32")n=new Int32Array(t);else if(e==="bool")n=new Uint8Array(t);else if(e==="string")n=new Array(t);else throw new Error(`Unknown data type ${e}`);return n}function TI(e,t){for(let n=0;nt+=n.length),t}function Kr(e){return typeof e=="string"||e instanceof String}function _I(e){return typeof e=="boolean"}function EI(e){return typeof e=="number"}function qh(e){return Array.isArray(e)?qh(e[0]):e instanceof Float32Array?"float32":e instanceof Int32Array||e instanceof Uint8Array||e instanceof Uint8ClampedArray?"int32":EI(e)?"float32":Kr(e)?"string":_I(e)?"bool":"float32"}function es(e){return!!(e&&e.constructor&&e.call&&e.apply)}function mh(e,t){for(let n=t;n=0;--a)n[a]=n[a+1]*e[a+1];return n}function AI(e,t,n,a=!1){let r=new Array;if(t.length===1){let s=t[0]*(a?2:1);for(let i=0;il*u)*(a?2:1);for(let l=0;lr*s)*(n?2:1);if(a===0)return[];if(a!==t.length)throw new Error(`[${e}] does not match the input size ${t.length}${n?" for a complex tensor":""}.`);return AI(0,e,t,n)}function vx(e,t){let n=Kh(e,t);for(let a=0;aa*r,1);if(t==null||t==="float32")return Zo(e,new Float32Array(n));if(t==="int32")return Zo(e,new Int32Array(n));if(t==="bool")return Zo(e,new Uint8Array(n));throw new Error(`Unknown data type ${t}`)}function wx(e){e.forEach(t=>{$(Number.isInteger(t)&&t>=0,()=>`Tensor must have a shape comprised of positive integers but got shape [${e}].`)})}function zF(e,t,n){if(t===0)return 0;if(t===1)return e[0];let a=e[e.length-1];for(let r=0;r{let[n,a]=t.split(":");this.urlFlags[n]=UF(n,a)})}};function BF(e){let t={};return e.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g,(n,...a)=>(VF(t,a[0],a[1]),a.join("="))),t}function VF(e,t,n){e[decodeURIComponent(t)]=decodeURIComponent(n||"")}function UF(e,t){if(t=t.toLowerCase(),t==="true"||t==="false")return t==="true";if(`${+t}`===t)return+t;throw new Error(`Could not parse value flag value ${t} for flag ${e}.`)}function H(){return Ix}var Ix=null;function GF(e){Ix=e}var ry;function FI(){if(ry==null){let e;if(typeof window!="undefined")e=window;else if(typeof global!="undefined")e=global;else if(typeof process!="undefined")e=process;else if(typeof self!="undefined")e=self;else throw new Error("Could not find a global object");ry=e}return ry}function HF(){let e=FI();return e._tfGlobals==null&&(e._tfGlobals=new Map),e._tfGlobals}function Sx(e,t){let n=HF();if(n.has(e))return n.get(e);{let a=t();return n.set(e,a),n.get(e)}}var wl="Abs",kl="Acos",Il="Acosh",cs="Add",mi="AddN",Sl="All",Tl="Any",fi="ArgMax",sc="ArgMin",Nl="Asin",Cl="Asinh",_l="Atan",El="Atanh",Al="Atan2",gi="AvgPool",Xh="AvgPoolGrad",ic="AvgPool3D",Yh="AvgPool3DGrad",bi="BatchMatMul",$l="BatchToSpaceND",Zh="Bincount",DI="BroadcastTo",Jh="BroadcastArgs",yi="Cast",xi="Ceil",ds="ClipByValue",Qh="Complex",oc="ComplexAbs",Fl="Concat",vi="Conv2D",em="Conv2DBackpropFilter",wi="Conv2DBackpropInput",lc="Conv3D",tm="Conv3DBackpropFilterV2",nm="Conv3DBackpropInputV2",ki="Cos",Ii="Cosh",Dl="Cumprod",Si="Cumsum",Rl="CropAndResize",am="DenseBincount",Ml="DepthToSpace",Ti="DepthwiseConv2dNative",rm="DepthwiseConv2dNativeBackpropFilter",sm="DepthwiseConv2dNativeBackpropInput",im="Diag",uc="Dilation2D",fh="Dilation2DBackpropInput",gh="Dilation2DBackpropFilter",Ni="RealDiv",om="Einsum",Ci="Elu",lm="EluGrad",Pl="Erf",Ol="Equal",_i="Exp",Ll="ExpandDims",zl="Expm1",um="FFT",pc="Fill",Wl="FlipLeftRight",Ei="Floor",Ai="FloorDiv",$i="FusedBatchNorm",Bl="GatherV2",Vl="GatherNd",Ul="Greater",Fi="GreaterEqual",Di="Identity",pm="IFFT",cm="Imag",Gl="IsFinite",Hl="IsInf",jl="IsNan",Ri="LeakyRelu",ql="Less",Kl="LessEqual",dm="LinSpace",Mi="Log",Xl="Log1p",Yl="LogicalAnd",Zl="LogicalNot",Jl="LogicalOr",RI="LogicalXor",MI="LogSoftmax",jF="LowerBound",cc="LRN",hm="LRNGrad",Pi="Max",Oi="Maximum",Li="MaxPool",mm="MaxPoolGrad",dc="MaxPool3D",fm="MaxPool3DGrad",gm="MaxPoolWithArgmax",zi="Mean",Wi="Min",Bi="Minimum",Vi="MirrorPad",Ql="Mod",bm="Multinomial",Ui="Multiply",eu="Neg",tu="NotEqual",nu="NonMaxSuppressionV3",au="NonMaxSuppressionV4",ru="NonMaxSuppressionV5",su="OnesLike",Gi="OneHot",iu="Pack",Hi="PadV2",qF="Pool",ji="Pow",qi="Prelu",Ki="Prod",ym="RaggedGather",xm="RaggedRange",vm="RaggedTensorToTensor",hc="Range",wm="Real",ou="Reciprocal",Xi="Relu",lu="Reshape",Yi="ResizeNearestNeighbor",km="ResizeNearestNeighborGrad",Zi="ResizeBilinear",Im="ResizeBilinearGrad",Ji="Relu6",Qi="Reverse",eo="Round",to="Rsqrt",uu="ScatterNd",Sm="SearchSorted",pu="Select",cu="Selu",du="Slice",no="Sin",hu="Sinh",mu="Sign",ao="Sigmoid",fu="Softplus",ro="Sqrt",so="Sum",gu="SpaceToBatchND",bu="SplitV",io="Softmax",mc="SparseFillEmptyRows",yu="SparseReshape",fc="SparseSegmentMean",gc="SparseSegmentSum",Tm="SparseToDense",oo="SquaredDifference",bc="Square",xu="StridedSlice",yc="StringNGrams",xc="StringSplit",vc="StringToHashBucketFast",lo="Sub",uo="Tan",po="Tanh",hs="Tile",vu="TopK",wu="Transform",Tr="Transpose",Nm="Unique",ku="Unpack",wc="UnsortedSegmentSum",KF="UpperBound",Iu="ZerosLike",ms="Step",bh="FromPixels",Su="RotateWithOffset",Js="_FusedMatMul",Qs="FusedConv2D",ei="FusedDepthwiseConv2D";function qr(...e){H().getBool("IS_TEST")||H().getBool("PROD")||console.warn(...e)}function XF(...e){H().getBool("IS_TEST")||H().getBool("PROD")||console.log(...e)}var nl=Sx("kernelRegistry",()=>new Map),Up=Sx("gradRegistry",()=>new Map);function yh(e,t){let n=Tx(e,t);return nl.get(n)}function xy(e){return Up.get(e)}function xh(e){let t=nl.entries(),n=[];for(;;){let{done:a,value:r}=t.next();if(a)break;let[s,i]=r,[o]=s.split("_");o===e&&n.push(i)}return n}function kc(e){let{kernelName:t,backendName:n}=e,a=Tx(t,n);nl.has(a)&&qr(`The kernel '${t}' for backend '${n}' is already registered`),nl.set(a,e)}function PI(e){let{kernelName:t}=e;Up.has(t)&&H().getBool("DEBUG")&&qr(`Overriding the gradient for '${t}'`),Up.set(t,e)}function YF(e,t){let n=Tx(e,t);if(!nl.has(n))throw new Error(`The kernel '${e}' for backend '${t}' is not registered`);nl.delete(n)}function ZF(e){if(!Up.has(e))throw new Error(`The gradient '${e}' for backend is not registered`);Up.delete(e)}function JF(e,t){xh(e).forEach(n=>{let a=Object.assign({},n,{backendName:t});kc(a)})}function Tx(e,t){return`${t}_${e}`}var v={};Ae(v,{arraysEqual:()=>ps,assert:()=>$,assertNonNegativeIntegerDimensions:()=>wx,assertNonNull:()=>hi,assertShapesMatch:()=>Sn,bytesFromStringArray:()=>CI,bytesPerElement:()=>yy,checkConversionForErrors:()=>TI,clamp:()=>Vp,computeStrides:()=>vl,createScalarValue:()=>rD,createShuffledIndices:()=>RF,decodeString:()=>vh,distSquared:()=>AF,encodeString:()=>Sc,fetch:()=>iD,fingerPrint64:()=>aD,flatten:()=>Zs,getArrayFromDType:()=>SI,getTypedArrayFromDType:()=>II,hasEncodingLoss:()=>OF,hexToLong:()=>Ic,indexToLoc:()=>WF,inferDtype:()=>qh,inferFromImplicitShape:()=>PF,isBoolean:()=>_I,isFunction:()=>es,isInt:()=>tl,isNumber:()=>EI,isPromise:()=>kx,isScalarShape:()=>$F,isString:()=>Kr,isTypedArray:()=>hn,isValidDtype:()=>NI,locToIndex:()=>zF,makeOnesTypedArray:()=>vx,makeZerosNestedTypedArray:()=>LF,makeZerosTypedArray:()=>Kh,nearestDivisor:()=>mh,nearestLargerEven:()=>CF,now:()=>Gp,parseAxisParam:()=>Aa,randUniform:()=>EF,repeatedTry:()=>MF,rightPad:()=>Lp,shuffle:()=>wI,shuffleCombo:()=>NF,sizeFromShape:()=>mt,sizeToSquarishShape:()=>DF,squeezeShape:()=>kI,sum:()=>_F,swap:()=>hh,tanh:()=>FF,toNestedArray:()=>Zo,toTypedArray:()=>Cm});var B1=us(uF()),Ws=B1.default||B1;function Ic(e){return Ws.fromString(e,!0,16)}var OI=Ic("c3a5c85c97cb3127"),Ls=Ic("b492b66fbe98f273"),yn=Ic("9ae16a3b2f90404f");function vy(e){return e.xor(e.shru(47))}function LI(e,t,n){let a=e.slice(t,t+n);return Ws.fromBytes(Array.from(a),!0,!0)}function ht(e,t){return LI(e,t,8)}function V1(e,t){return LI(e,t,4)}function Yt(e,t){return t===0?e:e.shru(t).or(e.shl(64-t))}function Zr(e,t,n=Ic("9ddfea08eb382d69")){let a=e.xor(t).mul(n);a=a.xor(a.shru(47));let r=t.xor(a).mul(n);return r=r.xor(r.shru(47)),r=r.mul(n),r}function QF(e,t,n,a,r,s){r=r.add(e),s=Yt(s.add(r).add(a),21);let i=r;return r=r.add(t),r=r.add(n),s=s.add(Yt(r,44)),[r.add(a),s.add(i)]}function Gd(e,t,n,a){return QF(ht(e,t),ht(e,t+8),ht(e,t+16),ht(e,t+24),n,a)}function eD(e,t=e.length){if(t>=8){let n=yn.add(t*2),a=ht(e,0).add(yn),r=ht(e,t-8),s=Yt(r,37).mul(n).add(a),i=Yt(a,25).add(r).mul(n);return Zr(s,i,n)}if(t>=4){let n=yn.add(t*2),a=V1(e,0);return Zr(a.shl(3).add(t),V1(e,t-4),n)}if(t>0){let n=e[0],a=e[t>>1],r=e[t-1],s=n+(a<<8),i=t+(r<<2);return vy(yn.mul(s).xor(OI.mul(i))).mul(yn)}return yn}function tD(e,t=e.length){let n=yn.add(t*2),a=ht(e,0).mul(Ls),r=ht(e,8),s=ht(e,t-8).mul(n),i=ht(e,t-16).mul(yn);return Zr(Yt(a.add(r),43).add(Yt(s,30)).add(i),a.add(Yt(r.add(yn),18)).add(s),n)}function nD(e,t=e.length){let n=yn.add(t*2),a=ht(e,0).mul(yn),r=ht(e,8),s=ht(e,t-8).mul(n),i=ht(e,t-16).mul(yn),o=Yt(a.add(r),43).add(Yt(s,30)).add(i),l=Zr(o,a.add(Yt(r.add(yn),18)).add(s),n),u=ht(e,16).mul(n),p=ht(e,24),d=o.add(ht(e,t-32)).mul(n),c=l.add(ht(e,t-24)).mul(n);return Zr(Yt(u.add(p),43).add(Yt(d,30)).add(c),u.add(Yt(p.add(a),18)).add(d),n)}function aD(e,t=e.length){let n=Ws.fromNumber(81,!0);if(t<=32)return t<=16?eD(e,t):tD(e,t);if(t<=64)return nD(e,t);let a=n,r=n.mul(Ls).add(113),s=vy(r.mul(yn).add(113)).mul(yn),i=[Ws.UZERO,Ws.UZERO],o=[Ws.UZERO,Ws.UZERO];a=a.mul(yn).add(ht(e,0));let l=0,u=(t-1>>6)*64,p=u+(t-1&63)-63;do a=Yt(a.add(r).add(i[0]).add(ht(e,l+8)),37).mul(Ls),r=Yt(r.add(i[1]).add(ht(e,l+48)),42).mul(Ls),a=a.xor(o[1]),r=r.add(i[0]).add(ht(e,l+40)),s=Yt(s.add(o[0]),33).mul(Ls),i=Gd(e,l,i[1].mul(Ls),a.add(o[0])),o=Gd(e,l+32,s.add(o[1]),r.add(ht(e,l+16))),[s,a]=[a,s],l+=64;while(l!==u);let d=Ls.add(s.and(255).shl(1));return l=p,o[0]=o[0].add(t-1&63),i[0]=i[0].add(o[0]),o[0]=o[0].add(i[0]),a=Yt(a.add(r).add(i[0]).add(ht(e,l+8)),37).mul(d),r=Yt(r.add(i[1]).add(ht(e,l+48)),42).mul(d),a=a.xor(o[1].mul(9)),r=r.add(i[0].mul(9).add(ht(e,l+40))),s=Yt(s.add(o[0]),33).mul(d),i=Gd(e,l,i[1].mul(d),a.add(o[0])),o=Gd(e,l+32,s.add(o[1]),r.add(ht(e,l+16))),[s,a]=[a,s],Zr(Zr(i[0],o[0],d).add(vy(r).mul(OI)).add(s),Zr(i[1],o[1],d).add(a),d)}function rD(e,t){return t==="string"?Sc(e):Cm([e],t)}function sD(e,t){return e instanceof Float32Array&&t==="float32"||e instanceof Int32Array&&t==="int32"||e instanceof Uint8Array&&t==="bool"}function Cm(e,t){if(t==="string")throw new Error("Cannot convert a string[] to a TypedArray");if(Array.isArray(e)&&(e=Zs(e)),H().getBool("DEBUG")&&TI(e,t),sD(e,t))return e;if(t==null||t==="float32"||t==="complex64")return new Float32Array(e);if(t==="int32")return new Int32Array(e);if(t==="bool"){let n=new Uint8Array(e.length);for(let a=0;a{a=n()},s,i=Gp();if(this.backendTimer.timerAvailable())s=this.backendTimer.time(r);else{r();for(let o of a)o.dataSync();s=Promise.resolve({kernelMs:Gp()-i})}if(H().getBool("CHECK_COMPUTATION_FOR_ERRORS"))for(let o=0;o{lD(u,l.dtype,e)})}return{kernelName:e,outputs:a,inputs:t,timeMs:s.then(o=>o.kernelMs),extraInfo:s.then(o=>o.getExtraProfileInfo!=null?o.getExtraProfileInfo():"")}}logKernelProfile(e){let{kernelName:t,outputs:n,timeMs:a,inputs:r,extraInfo:s}=e;n.forEach(i=>{Promise.all([i.data(),a,s]).then(o=>{this.logger.logKernelProfile(t,i,o[0],o[1],r,o[2])})})}};function lD(e,t,n){if(t!=="float32")return!1;for(let a=0;a0?m:""} `}}console.log(`%c${o} %c${i} %c${l}D ${p} %c${u} %c${d} %c${s}`,"font-weight:bold","color:red","color:blue","color: orange","color: green","color: steelblue")}};function pD(e,t,n){let a={},r={};for(let l=0;la[f.id]=!0),h=!0,r[u.id]=!0;break}if(h)break}}let s={};s[n.id]=!0;let i={};for(let l=e.length-1;l>=0;l--){let u=e[l],p=u.inputs;for(let d=0;d=0;r--){let s=t[r],i=[];if(s.outputs.forEach(l=>{let u=e[l.id];u!=null?i.push(u):i.push(null)}),s.gradient==null)throw new Error(`Cannot compute gradient: gradient function not found for ${s.kernelName}.`);let o=s.gradient(i);for(let l in s.inputs){if(!(l in o))throw new Error(`Cannot backprop through input ${l}. Available gradients found: ${Object.keys(o)}.`);let u=n(()=>o[l]());if(u.dtype!=="float32")throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input ${l} must have 'float32' dtype, but has '${u.dtype}'`);let p=s.inputs[l];if(!ps(u.shape,p.shape))throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input '${l}' has shape '${u.shape}', which does not match the shape of the input '${p.shape}'`);if(e[p.id]==null)e[p.id]=u;else{let d=e[p.id];e[p.id]=a(d,u),d.dispose()}}}}var U1=20,Ip=3,sy=7;function dD(e,t,n,a){let r=vl(t),s=hD(e,t,n,r),i=t.length,o=ah(e,t,n,r,s),l=["Tensor"];return a&&(l.push(` dtype: ${n}`),l.push(` rank: ${i}`),l.push(` shape: [${t}]`),l.push(" values:")),l.push(o.map(u=>" "+u).join(` `)),l.join(` -`)}function sD(e,t,n,a){let r=mt(t),s=a[a.length-1],i=new Array(s).fill(0),o=t.length,l=n==="complex64"?Np(e):e;if(o>1)for(let u=0;uz1){let g=wp*i,b=Array.from(e.slice(0,g)),y=Array.from(e.slice((o-wp)*i,o*i));return n==="complex64"&&(b=Np(b),y=Np(y)),["["+b.map((x,w)=>Tp(x,r[w],n)).join(", ")+", ..., "+y.map((x,w)=>Tp(x,r[o-wp+w],n)).join(", ")+"]"]}let f=n==="complex64"?Np(e):Array.from(e);return["["+f.map((g,b)=>Tp(g,r[b],n)).join(", ")+"]"]}let u=t.slice(1),p=a.slice(1),d=a[0]*i,c=[];if(o>z1){for(let f=0;f1)for(let u=0;uU1){let g=Ip*i,b=Array.from(e.slice(0,g)),y=Array.from(e.slice((o-Ip)*i,o*i));return n==="complex64"&&(b=_p(b),y=_p(y)),["["+b.map((x,w)=>Cp(x,r[w],n)).join(", ")+", ..., "+y.map((x,w)=>Cp(x,r[o-Ip+w],n)).join(", ")+"]"]}let f=n==="complex64"?_p(e):Array.from(e);return["["+f.map((g,b)=>Cp(g,r[b],n)).join(", ")+"]"]}let u=t.slice(1),p=a.slice(1),d=a[0]*i,c=[];if(o>U1){for(let f=0;f`Length of values '${a}' does not match the size inferred by the shape '${this.size}'.`)}if(t==="complex64")throw new Error("complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).");this.values=n||bI(t,this.size),this.strides=yl(e)}set(e,...t){t.length===0&&(t=[0]),$(t.length===this.rank,()=>`The number of provided coordinates (${t.length}) must match the rank (${this.rank})`);let n=this.locToIndex(t);this.values[n]=e}get(...e){e.length===0&&(e=[0]);let t=0;for(let a of e){if(a<0||a>=this.shape[t]){let r=`Requested out of range element at ${e}. Buffer shape=${this.shape}`;throw new Error(r)}t++}let n=e[e.length-1];for(let a=0;avh(n))}catch(n){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}}return e}dataToGPU(e){return this.throwIfDisposed(),Pa().readToGPU(this.dataId,e)}dataSync(){this.throwIfDisposed();let e=Pa().readSync(this.dataId);if(this.dtype==="string")try{return e.map(t=>vh(t))}catch(t){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return e}async bytes(){this.throwIfDisposed();let e=await Pa().read(this.dataId);return this.dtype==="string"?e:new Uint8Array(e.buffer)}dispose(){this.isDisposed||(Pa().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(e=!1){return qo.print(this,e)}clone(){return this.throwIfDisposed(),qo.clone(this)}toString(e=!1){let t=this.dataSync();return rD(t,this.shape,this.dtype,e)}cast(e){return this.throwIfDisposed(),qo.cast(this,e)}variable(e=!0,t,n){return this.throwIfDisposed(),Pa().makeVariable(this,e,t,n)}};Object.defineProperty(Te,Symbol.hasInstance,{value:e=>!!e&&e.data!=null&&e.dataSync!=null&&e.throwIfDisposed!=null});function J(){return kx("Tensor",()=>Te)}J();var es=class extends Te{constructor(e,t,n,a){super(e.shape,e.dtype,e.dataId,a),this.trainable=t,this.name=n}assign(e){if(e.dtype!==this.dtype)throw new Error(`dtype of the new value (${e.dtype}) and previous value (${this.dtype}) must match`);if(!us(e.shape,this.shape))throw new Error(`shape of the new value (${e.shape}) and previous value (${this.shape}) must match`);Pa().disposeTensor(this),this.dataId=e.dataId,Pa().incRef(this,null)}dispose(){Pa().disposeVariable(this),this.isDisposedInternal=!0}};Object.defineProperty(es,Symbol.hasInstance,{value:e=>e instanceof Te&&e.assign!=null&&e.assign instanceof Function});var Ba={};_e(Ba,{assertTypesMatch:()=>DI,getTensorsInContainer:()=>Sx,isTensorInList:()=>cD,makeTypesMatch:()=>_t});var xy;(function(e){e.R0="R0",e.R1="R1",e.R2="R2",e.R3="R3",e.R4="R4",e.R5="R5",e.R6="R6"})(xy||(xy={}));var vy;(function(e){e.float32="float32",e.int32="int32",e.bool="int32",e.complex64="complex64"})(vy||(vy={}));var wy;(function(e){e.float32="float32",e.int32="int32",e.bool="bool",e.complex64="complex64"})(wy||(wy={}));var ky;(function(e){e.float32="float32",e.int32="float32",e.bool="float32",e.complex64="complex64"})(ky||(ky={}));var Iy;(function(e){e.float32="complex64",e.int32="complex64",e.bool="complex64",e.complex64="complex64"})(Iy||(Iy={}));var pD={float32:ky,int32:vy,bool:wy,complex64:Iy};function ha(e,t){if(e==="string"||t==="string"){if(e==="string"&&t==="string")return"string";throw new Error(`Can not upcast ${e} with ${t}`)}return pD[e][t]}function Nm(e){return ha(e,"int32")}function _t(e,t){if(e.dtype===t.dtype)return[e,t];let n=ha(e.dtype,t.dtype);return[e.cast(n),t.cast(n)]}function DI(e,t){$(e.dtype===t.dtype,()=>`The dtypes of the first(${e.dtype}) and second(${t.dtype}) input must match`)}function cD(e,t){return t.some(n=>n.id===e.id)}function Sx(e){let t=[];return RI(e,t,new Set),t}function RI(e,t,n){if(e==null)return;if(e instanceof Te){t.push(e);return}if(!dD(e))return;let a=e;for(let r in a){let s=a[r];n.has(s)||(n.add(s),RI(s,t,n))}}function dD(e){return Array.isArray(e)||typeof e=="object"}function ry(e){return e.kernelName!=null}var B1=class{constructor(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null,get kernelNames(){return Array.from(new Set(this.kernels.map(e=>e.name)))}}}dispose(){for(let e in this.registeredVariables)this.registeredVariables[e].dispose()}},Vp=class{constructor(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new B1}async ready(){if(this.pendingBackendInit!=null)return this.pendingBackendInit.then(()=>{});if(this.backendInstance!=null)return;let e=this.getSortedBackends();for(let t=0;t{e.setupFunc!=null&&e.setupFunc(this.backendInstance)})}disposeRegisteredKernels(e){xh(e).forEach(t=>{t.disposeFunc!=null&&t.disposeFunc(this.registry[e])})}initializeBackend(e){let t=this.registryFactory[e];if(t==null)throw new Error(`Cannot initialize backend ${e}, no registration found.`);try{let n=t.factory();if(n&&!(n instanceof nc)&&typeof n.then=="function"){let a=++this.pendingBackendInitId,r=n.then(s=>a(athis.registryFactory[t].priority-this.registryFactory[e].priority)}initializeBackendsAndReturnBest(){let e=this.getSortedBackends();for(let t=0;tthis.startScope(n),()=>this.endScope(a),()=>(a=t(),a instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),a))}scopedRun(e,t,n){e();try{let a=n();return t(),a}catch(a){throw t(),a}}nextTensorId(){return Vp.nextTensorId++}nextVariableId(){return Vp.nextVariableId++}clone(e){let t=O.runKernel(Di,{x:e}),n={x:e},a=s=>({x:()=>{let i="float32",o={x:s},l={dtype:i};return O.runKernel(yi,o,l)}}),r=[];return this.addTapeNode(this.state.activeScope.name,n,[t],a,r,{}),t}runKernel(e,t,n){if(this.backendName==null&&this.backend,yh(e,this.backendName)==null)throw new Error(`Kernel '${e}' not registered for backend '${this.backendName}'`);return this.runKernelFunc({kernelName:e,inputs:t,attrs:n})}shouldCheckForMemLeaks(){return this.ENV.getBool("IS_TEST")}checkKernelForMemLeak(e,t,n){let a=this.backend.numDataIds(),r=0;n.forEach(o=>{r+=o.dtype==="complex64"?3:1});let s=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],i=a-t-r-s;if(i>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${i} data ids) after running '${e}'`)}runKernelFunc(e){let t,n=[],a=this.isTapeOn(),r=this.state.numBytes,s=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);let i;this.backendName==null&&this.backend;let o,l=ry(e)?e.kernelName:this.state.activeScope!=null?this.state.activeScope.name:"";if(ry(e)){let{kernelName:h,inputs:m,attrs:f}=e;this.backendName==null&&this.backend;let g=yh(h,this.backendName);$(g!=null,()=>`Cannot find registered kernel '${h}' for backend '${this.backendName}'`),i=()=>{let b=this.backend.numDataIds();o=g.kernelFunc({inputs:m,attrs:f,backend:this.backend});let y=Array.isArray(o)?o:[o];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(h,b,y);let x=y.map(w=>w.rank!=null?w:this.makeTensorFromTensorInfo(w));if(a){let w=this.getTensorsForGradient(h,m,x);n=this.saveTensorsForBackwardMode(w)}return x}}else{let{forwardFunc:h}=e,m=f=>{!a||(n=f.map(g=>this.keep(this.clone(g))))};i=()=>{let f=this.backend.numDataIds();o=this.tidy(()=>h(this.backend,m));let g=Array.isArray(o)?o:[o];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(l,f,g),g}}let{inputs:u,attrs:p}=e,d=ry(e)?null:e.backwardsFunc,c;return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{!this.ENV.getBool("DEBUG")&&!this.state.profiling?t=i():(c=this.profiler.profileKernel(l,u,()=>i()),this.ENV.getBool("DEBUG")&&this.profiler.logKernelProfile(c),t=c.outputs)}),a&&this.addTapeNode(l,u,t,d,n,p),this.state.profiling&&this.state.activeProfile.kernels.push({name:l,bytesAdded:this.state.numBytes-r,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-s,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(u).map(h=>u[h]!=null?u[h].shape:null),outputShapes:t.map(h=>h.shape),kernelTimeMs:c.timeMs,extraInfo:c.extraInfo}),Array.isArray(o)?t:t[0]}saveTensorsForBackwardMode(e){return e.map(t=>this.keep(this.clone(t)))}getTensorsForGradient(e,t,n){let a=by(e);if(a!=null){let r=a.inputsToSave||[],s=a.outputsToSave||[],i;a.saveAllInputs?($(Array.isArray(t),()=>"saveAllInputs is true, expected inputs to be an array."),i=Object.keys(t).map(l=>t[l])):i=r.map(l=>t[l]);let o=n.filter((l,u)=>s[u]);return i.concat(o)}return[]}makeTensor(e,t,n,a){if(e==null)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",a=a||this.backend;let r=e;n==="string"&&qr(e[0])&&(r=e.map(o=>kc(o)));let s=a.write(r,t,n),i=new Te(t,n,s,this.nextTensorId());if(this.trackTensor(i,a),n==="string"){let o=this.state.tensorInfo.get(s),l=vI(r);this.state.numBytes+=l-o.bytes,o.bytes=l}return i}makeTensorFromDataId(e,t,n,a){n=n||"float32";let r={dataId:e,shape:t,dtype:n};return this.makeTensorFromTensorInfo(r,a)}makeTensorFromTensorInfo(e,t){let{dataId:n,shape:a,dtype:r}=e,s=new Te(a,r,n,this.nextTensorId());return this.trackTensor(s,t),s}makeVariable(e,t=!0,n,a){n=n||this.nextVariableId().toString(),a!=null&&a!==e.dtype&&(e=e.cast(a));let r=new es(e,t,n,this.nextTensorId());if(this.state.registeredVariables[r.name]!=null)throw new Error(`Variable with name ${r.name} was already registered`);return this.state.registeredVariables[r.name]=r,this.incRef(r,this.backend),r}trackTensor(e,t){this.state.numTensors++,e.dtype==="string"&&this.state.numStringTensors++;let n=0;e.dtype!=="complex64"&&e.dtype!=="string"&&(n=e.size*gy(e.dtype)),this.state.numBytes+=n,this.state.tensorInfo.has(e.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:n})),e instanceof es||this.track(e)}incRef(e,t){this.trackTensor(e,t),this.backend.incRef(e.dataId)}removeDataId(e,t){this.state.tensorInfo.has(e)&&this.state.tensorInfo.get(e).backend===t&&(this.state.tensorInfo.delete(e),this.state.numDataBuffers--)}disposeTensor(e){if(!this.state.tensorInfo.has(e.dataId))return;let t=this.state.tensorInfo.get(e.dataId);if(this.state.numTensors--,e.dtype==="string"&&(this.state.numStringTensors--,this.state.numBytes-=t.bytes),e.dtype!=="complex64"&&e.dtype!=="string"){let n=e.size*gy(e.dtype);this.state.numBytes-=n}t.backend.disposeData(e.dataId)&&this.removeDataId(e.dataId,t.backend)}disposeVariables(){for(let e in this.state.registeredVariables){let t=this.state.registeredVariables[e];this.disposeVariable(t)}}disposeVariable(e){this.disposeTensor(e),this.state.registeredVariables[e.name]!=null&&delete this.state.registeredVariables[e.name]}memory(){let e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,e.reasons==null&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e}async profile(e){this.state.profiling=!0;let t=this.state.numBytes,n=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await e(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map(a=>a.totalBytesSnapshot)),this.state.activeProfile.newBytes=this.state.numBytes-t,this.state.activeProfile.newTensors=this.state.numTensors-n;for(let a of this.state.activeProfile.kernels)a.kernelTimeMs=await a.kernelTimeMs,a.extraInfo=await a.extraInfo;return this.state.activeProfile}isTapeOn(){return this.state.gradientDepth>0&&this.state.kernelDepth===0}addTapeNode(e,t,n,a,r,s){let i={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:n,saved:r},o=by(e);o!=null&&(a=o.gradFunc),a!=null&&(i.gradient=l=>(l=l.map((u,p)=>{if(u==null){let d=n[p],c=qh(d.size,d.dtype);return this.makeTensor(c,d.shape,d.dtype)}return u}),a(l.length>1?l:l[0],r,s))),this.state.activeTape.push(i)}keep(e){return e.kept=!0,e}startTape(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++}endTape(){this.state.gradientDepth--}startScope(e){let t={track:[],name:"unnamed scope",id:this.state.nextScopeId++};e&&(t.name=e),this.state.scopeStack.push(t),this.state.activeScope=t}endScope(e){let t=Sx(e),n=new Set(t.map(r=>r.id));for(let r=0;r{!r.kept&&r.scopeId===a.id&&this.track(r)})}gradients(e,t,n,a=!1){if($(t.length>0,()=>"gradients() received an empty list of xs."),n!=null&&n.dtype!=="float32")throw new Error(`dy must have 'float32' dtype, but has '${n.dtype}'`);let r=this.scopedRun(()=>this.startTape(),()=>this.endTape(),()=>this.tidy("forward",e));$(r instanceof Te,()=>"The result y returned by f() must be a tensor.");let s=nD(this.state.activeTape,t,r);if(!a&&s.length===0&&t.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",()=>{let i={};i[r.id]=n==null?hD(r.shape):n,aD(i,s,l=>this.tidy(l),mD);let o=t.map(l=>i[l.id]);return this.state.gradientDepth===0&&(this.state.activeTape.forEach(l=>{for(let u of l.saved)u.dispose()}),this.state.activeTape=null),{value:r,grads:o}})}customGrad(e){return $(Qr(e),()=>"The f passed in customGrad(f) must be a function."),(...t)=>{$(t.every(i=>i instanceof Te),()=>"The args passed in customGrad(f)(x1, x2,...) must all be tensors");let n,a={};t.forEach((i,o)=>{a[o]=i});let r=(i,o)=>(n=e(...t,o),$(n.value instanceof Te,()=>"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"),$(Qr(n.gradFunc),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."),n.value),s=(i,o)=>{let l=n.gradFunc(i,o),u=Array.isArray(l)?l:[l];$(u.length===t.length,()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."),$(u.every(d=>d instanceof Te),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.");let p={};return u.forEach((d,c)=>{p[c]=()=>d}),p};return this.runKernelFunc({forwardFunc:r,backwardsFunc:s,inputs:a})}}readSync(e){return this.state.tensorInfo.get(e).backend.readSync(e)}read(e){return this.state.tensorInfo.get(e).backend.read(e)}readToGPU(e,t){return this.state.tensorInfo.get(e).backend.readToGPU(e,t)}async time(e){let t=Wp(),n=await this.backend.time(e);return n.wallMs=Wp()-t,n}track(e){return this.state.activeScope!=null&&(e.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(e)),e}get registeredVariables(){return this.state.registeredVariables}reset(){this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new B1;for(let e in this.registry)this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null}};Vp.nextTensorId=0;Vp.nextVariableId=0;function hD(e){let t=yx(mt(e),"float32");return O.makeTensor(t,e,"float32")}function MI(){let e=TI();if(e._tfengine==null){let t=new SI(e);e._tfengine=new Vp(t)}return PF(e._tfengine.ENV),oD(()=>e._tfengine),e._tfengine}var O=MI();function mD(e,t){let n={a:e,b:t};return O.runKernel(ps,n)}var Ic={};_e(Ic,{isBrowser:()=>PI,isMobile:()=>bD,mockIsMobile:()=>gD});function fD(){return typeof navigator!="undefined"&&navigator!=null}var Sy;function gD(e){Sy=e}function bD(e){if(Sy!==void 0)return Sy;if(e||fD()){if(e||(e=navigator),e.product==="ReactNative")return!0;let t=e.userAgent||e.vendor||(typeof window!="undefined"?window.opera:"");if(!t){let n=e;return n.userAgentData&&n.userAgentData.mobile}return/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i.test(t)||/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i.test(t.substr(0,4))}return!1}function PI(){return typeof window!="undefined"&&window.document!=null||typeof WorkerGlobalScope!="undefined"}var Zn=H();Zn.registerFlag("DEBUG",()=>!1,e=>{e&&console.warn("Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.")});Zn.registerFlag("IS_BROWSER",()=>PI());Zn.registerFlag("IS_NODE",()=>typeof process!="undefined"&&typeof process.versions!="undefined"&&typeof process.versions.node!="undefined");Zn.registerFlag("IS_CHROME",()=>typeof navigator!="undefined"&&navigator!=null&&navigator.userAgent!=null&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor));Zn.registerFlag("PROD",()=>!1);Zn.registerFlag("TENSORLIKE_CHECK_SHAPE_CONSISTENCY",()=>Zn.getBool("DEBUG"));Zn.registerFlag("DEPRECATION_WARNINGS_ENABLED",()=>!0);Zn.registerFlag("IS_TEST",()=>!1);Zn.registerFlag("CHECK_COMPUTATION_FOR_ERRORS",()=>!0);Zn.registerFlag("WRAP_TO_IMAGEBITMAP",()=>!1);Zn.registerFlag("ENGINE_COMPILE_ONLY",()=>!1);Zn.registerFlag("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU",()=>!1);Zn.registerFlag("USE_SETTIMEOUTCUSTOM",()=>!1);function sr(e,t){let n=e;if(dn(e))return t==="string"?[]:[e.length];if(!Array.isArray(e))return[];let a=[];for(;Array.isArray(n)||dn(n)&&t!=="string";)a.push(n.length),n=n[0];return Array.isArray(e)&&H().getBool("TENSORLIKE_CHECK_SHAPE_CONSISTENCY")&&OI(e,a,[]),a}function OI(e,t,n){if(n=n||[],!Array.isArray(e)&&!dn(e)){$(t.length===0,()=>`Element arr[${n.join("][")}] is a primitive, but should be an array/TypedArray of ${t[0]} elements`);return}$(t.length>0,()=>`Element arr[${n.join("][")}] should be a primitive, but is an array of ${e.length} elements`),$(e.length===t[0],()=>`Element arr[${n.join("][")}] should have ${t[0]} elements, but has ${e.length} elements`);let a=t.slice(1);for(let r=0;r=0&&(r=a),W1(a,r,t,n),e==null||!dn(e)&&!Array.isArray(e)&&typeof e!="number"&&typeof e!="boolean"&&typeof e!="string"){let o=e==null?"null":e.constructor.name;throw new Error(`Argument '${t}' passed to '${n}' must be a Tensor or TensorLike, but got '${o}'`)}let s=sr(e,r);!dn(e)&&!Array.isArray(e)&&(e=[e]);let i=r!=="string"?Tm(e,r):Zs(e,[],!0);return O.makeTensor(i,s,r)}function Up(e,t,n,a="numeric"){if(!Array.isArray(e))throw new Error(`Argument ${t} passed to ${n} must be a \`Tensor[]\` or \`TensorLike[]\``);return e.map((r,s)=>_(r,`${t}[${s}]`,n,a))}var Tx="__op";function L(e){let t=Object.keys(e);if(t.length!==1)throw new Error(`Please provide an object with a single key (operation name) mapping to a function. Got an object with ${t.length} keys.`);let n=t[0],a=e[n];n.endsWith("_")&&(n=n.substring(0,n.length-1)),n=n+Tx;let r=(...s)=>{O.startScope(n);try{let i=a(...s);return vx(i)&&console.error("Cannot return a Promise inside of tidy."),O.endScope(i),i}catch(i){throw O.endScope(null),i}};return Object.defineProperty(r,"name",{value:n,configurable:!0}),r}function yD(e,t){let n=_(e,"real","complex"),a=_(t,"imag","complex");In(n.shape,a.shape,`real and imag shapes, ${n.shape} and ${a.shape}, must match in call to tf.complex().`);let r={real:n,imag:a};return O.runKernel(Jh,r)}var Cr=L({complex_:yD});function ms(e,t,n,a){if(a==null&&(a=jh(e)),a==="complex64")throw new Error("Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).");if(!dn(e)&&!Array.isArray(e)&&typeof e!="number"&&typeof e!="boolean"&&typeof e!="string")throw new Error("values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray");if(t!=null){xx(t);let r=mt(t),s=mt(n);$(r===s,()=>`Based on the provided shape, [${t}], the tensor should have ${r} values but has ${s}`);for(let i=0;i`Error creating a new Tensor. Inferred shape (${n}) does not match the provided shape (${t}). `)}}return!dn(e)&&!Array.isArray(e)&&(e=[e]),t=t||n,e=a!=="string"?Tm(e,a):Zs(e,[],!0),O.makeTensor(e,t,a)}function On(e,t,n){let a=sr(e,n);return ms(e,t,a,n)}var Ty={float32:4,float16:2,int32:4,uint16:2,uint8:1,bool:1,complex64:8},wh=4;async function xD(e,t){let n=[],a=[],r=Array.isArray(e)?e.map(i=>i.name):Object.keys(e);for(let i=0;i{let c=await l.bytes(),h=c.reduce((g,b)=>g+b.length,0)+wh*c.length,m=new Uint8Array(h),f=0;for(let g=0;g{if(t+=s.byteLength,n.push(s.byteLength===s.buffer.byteLength?s:new s.constructor(s)),!(s instanceof Float32Array||s instanceof Int32Array||s instanceof Uint8Array))throw new Error(`Unsupported TypedArray subtype: ${s.constructor.name}`)});let a=new Uint8Array(t),r=0;return n.forEach(s=>{a.set(new Uint8Array(s.buffer),r),r+=s.byteLength}),a.buffer}var Nx=typeof Buffer!="undefined"&&(typeof Blob=="undefined"||typeof atob=="undefined"||typeof btoa=="undefined");function V1(e){return Nx?Buffer.byteLength(e):new Blob([e]).size}function wD(e){if(Nx)return Buffer.from(e).toString("base64");let t=new Uint8Array(e),n="";for(let a=0,r=t.length;a{t+=r.byteLength});let n=new Uint8Array(t),a=0;return e.forEach(r=>{n.set(new Uint8Array(r),a),a+=r.byteLength}),n.buffer}function U1(e){let t="/";for(e=e.trim();e.endsWith(t);)e=e.slice(0,e.length-1);let n=e.split(t);return n[n.length-1]}function zI(e,t){let n={modelTopology:e.modelTopology,format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,weightsManifest:t};return e.signature!=null&&(n.signature=e.signature),e.userDefinedMetadata!=null&&(n.userDefinedMetadata=e.userDefinedMetadata),e.modelInitializer!=null&&(n.modelInitializer=e.modelInitializer),e.trainingConfig!=null&&(n.trainingConfig=e.trainingConfig),n}function BI(e,t,n){let a={modelTopology:e.modelTopology,format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy};if(e.trainingConfig!=null&&(a.trainingConfig=e.trainingConfig),e.weightsManifest!=null){if(!t)throw new Error("modelJSON has weightsManifest but weightSpecs is null");if(!n)throw new Error("modelJSON has weightsManifest but weightData is null");a.weightSpecs=t,a.weightData=n}return e.signature!=null&&(a.signature=e.signature),e.userDefinedMetadata!=null&&(a.userDefinedMetadata=e.userDefinedMetadata),e.modelInitializer!=null&&(a.modelInitializer=e.modelInitializer),a}async function _x(e,t){let n,a;return e.weightsManifest!=null&&([n,a]=await t(e.weightsManifest)),BI(e,n,a)}function Sc(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("Expected JSON model topology, received ArrayBuffer.");return{dateSaved:new Date,modelTopologyType:"JSON",modelTopologyBytes:e.modelTopology==null?0:V1(JSON.stringify(e.modelTopology)),weightSpecsBytes:e.weightSpecs==null?0:V1(JSON.stringify(e.weightSpecs)),weightDataBytes:e.weightData==null?0:e.weightData.byteLength}}function WI(e){let t=[];for(let n of e)t.push(...n.weights);return t}function ID(){let e=n=>{let a=n<<13,r=0;for(;(a&8388608)===0;)r-=8388608,a<<=1;return a&=-8388609,r+=947912704,a|r},t=new Uint32Array(2048);t[0]=0;for(let n=1;n<1024;n++)t[n]=e(n);for(let n=1024;n<2048;n++)t[n]=939524096+(n-1024<<13);return t}function SD(){let e=new Uint32Array(64);e[0]=0,e[31]=1199570944,e[32]=2147483648,e[63]=3347054592;for(let t=1;t<31;t++)e[t]=t<<23;for(let t=33;t<63;t++)e[t]=2147483648+(t-32<<23);return e}function TD(){let e=new Uint32Array(64);for(let t=0;t<64;t++)e[t]=1024;return e[0]=e[32]=0,e}function ND(){let e=ID(),t=SD(),n=TD();return a=>{let r=new ArrayBuffer(4*a.length),s=new Uint32Array(r);for(let i=0;i>10]+(o&1023)]+t[o>>10];s[i]=l}return new Float32Array(r)}}var At=class{constructor(){this.saveRouters=[],this.loadRouters=[]}static getInstance(){return At.instance==null&&(At.instance=new At),At.instance}static registerSaveRouter(e){At.getInstance().saveRouters.push(e)}static registerLoadRouter(e){At.getInstance().loadRouters.push(e)}static getSaveHandlers(e){return At.getHandlers(e,"save")}static getLoadHandlers(e,t){return At.getHandlers(e,"load",t)}static getHandlers(e,t,n){let a=[];return(t==="load"?At.getInstance().loadRouters:At.getInstance().saveRouters).forEach(r=>{let s=r(e,n);s!==null&&a.push(s)}),a}},CD=e=>At.registerSaveRouter(e),_D=e=>At.registerLoadRouter(e),ED=e=>At.getSaveHandlers(e),AD=(e,t)=>At.getLoadHandlers(e,t),Ny="tensorflowjs",Cy=1,Gs="models_store",Kr="model_info_store";function VI(){if(!H().getBool("IS_BROWSER"))throw new Error("Failed to obtain IndexedDB factory because the current environmentis not a web browser.");let e=typeof window=="undefined"?self:window,t=e.indexedDB||e.mozIndexedDB||e.webkitIndexedDB||e.msIndexedDB||e.shimIndexedDB;if(t==null)throw new Error("The current browser does not appear to support IndexedDB.");return t}function _y(e){let t=e.result;t.createObjectStore(Gs,{keyPath:"modelPath"}),t.createObjectStore(Kr,{keyPath:"modelPath"})}var ti=class{constructor(e){if(this.indexedDB=VI(),e==null||!e)throw new Error("For IndexedDB, modelPath must not be null, undefined or empty.");this.modelPath=e}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");return this.databaseAction(this.modelPath,e)}async load(){return this.databaseAction(this.modelPath)}databaseAction(e,t){return new Promise((n,a)=>{let r=this.indexedDB.open(Ny,Cy);r.onupgradeneeded=()=>_y(r),r.onsuccess=()=>{let s=r.result;if(t==null){let i=s.transaction(Gs,"readonly"),o=i.objectStore(Gs).get(this.modelPath);o.onsuccess=()=>{if(o.result==null)return s.close(),a(new Error(`Cannot find model with path '${this.modelPath}' in IndexedDB.`));n(o.result.modelArtifacts)},o.onerror=l=>(s.close(),a(o.error)),i.oncomplete=()=>s.close()}else{let i=Sc(t),o=s.transaction(Kr,"readwrite"),l=o.objectStore(Kr),u=l.put({modelPath:this.modelPath,modelArtifactsInfo:i}),p;u.onsuccess=()=>{p=s.transaction(Gs,"readwrite");let d=p.objectStore(Gs).put({modelPath:this.modelPath,modelArtifacts:t,modelArtifactsInfo:i});d.onsuccess=()=>n({modelArtifactsInfo:i}),d.onerror=c=>{l=o.objectStore(Kr);let h=l.delete(this.modelPath);h.onsuccess=()=>(s.close(),a(d.error)),h.onerror=m=>(s.close(),a(d.error))}},u.onerror=d=>(s.close(),a(u.error)),o.oncomplete=()=>{p==null?s.close():p.oncomplete=()=>s.close()}}},r.onerror=s=>a(r.error)})}};ti.URL_SCHEME="indexeddb://";var UI=e=>H().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(ti.URL_SCHEME)?$D(e.slice(ti.URL_SCHEME.length)):null;At.registerSaveRouter(UI);At.registerLoadRouter(UI);function $D(e){return new ti(e)}function FD(e){return e.startsWith(ti.URL_SCHEME)?e.slice(ti.URL_SCHEME.length):e}var DD=class{constructor(){this.indexedDB=VI()}async listModels(){return new Promise((e,t)=>{let n=this.indexedDB.open(Ny,Cy);n.onupgradeneeded=()=>_y(n),n.onsuccess=()=>{let a=n.result,r=a.transaction(Kr,"readonly"),s=r.objectStore(Kr).getAll();s.onsuccess=()=>{let i={};for(let o of s.result)i[o.modelPath]=o.modelArtifactsInfo;e(i)},s.onerror=i=>(a.close(),t(s.error)),r.oncomplete=()=>a.close()},n.onerror=a=>t(n.error)})}async removeModel(e){return e=FD(e),new Promise((t,n)=>{let a=this.indexedDB.open(Ny,Cy);a.onupgradeneeded=()=>_y(a),a.onsuccess=()=>{let r=a.result,s=r.transaction(Kr,"readwrite"),i=s.objectStore(Kr),o=i.get(e),l;o.onsuccess=()=>{if(o.result==null)return r.close(),n(new Error(`Cannot find model with path '${e}' in IndexedDB.`));{let u=i.delete(e),p=()=>{l=r.transaction(Gs,"readwrite");let d=l.objectStore(Gs).delete(e);d.onsuccess=()=>t(o.result.modelArtifactsInfo),d.onerror=c=>n(o.error)};u.onsuccess=p,u.onerror=d=>(p(),r.close(),n(o.error))}},o.onerror=u=>(r.close(),n(o.error)),s.oncomplete=()=>{l==null?r.close():l.oncomplete=()=>r.close()}},a.onerror=r=>n(a.error)})}},kr="/",Ko="tensorflowjs_models",GI="info",RD="model_topology",MD="weight_specs",PD="weight_data",OD="model_metadata";function HI(e){return{info:[Ko,e,GI].join(kr),topology:[Ko,e,RD].join(kr),weightSpecs:[Ko,e,MD].join(kr),weightData:[Ko,e,PD].join(kr),modelMetadata:[Ko,e,OD].join(kr)}}function jI(e){for(let t of Object.values(e))window.localStorage.removeItem(t)}function LD(e){let t=e.split(kr);if(t.length<3)throw new Error(`Invalid key format: ${e}`);return t.slice(1,t.length-1).join(kr)}function zD(e){return e.startsWith(ni.URL_SCHEME)?e.slice(ni.URL_SCHEME.length):e}var ni=class{constructor(e){if(!H().getBool("IS_BROWSER")||typeof window=="undefined"||typeof window.localStorage=="undefined")throw new Error("The current environment does not support local storage.");if(this.LS=window.localStorage,e==null||!e)throw new Error("For local storage, modelPath must not be null, undefined or empty.");this.modelPath=e,this.keys=HI(this.modelPath)}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");{let t=JSON.stringify(e.modelTopology),n=JSON.stringify(e.weightSpecs),a=Sc(e);try{this.LS.setItem(this.keys.info,JSON.stringify(a)),this.LS.setItem(this.keys.topology,t),this.LS.setItem(this.keys.weightSpecs,n),this.LS.setItem(this.keys.weightData,wD(e.weightData));let r={format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,signature:e.signature!=null?e.signature:void 0,userDefinedMetadata:e.userDefinedMetadata!=null?e.userDefinedMetadata:void 0,modelInitializer:e.modelInitializer!=null?e.modelInitializer:void 0,trainingConfig:e.trainingConfig!=null?e.trainingConfig:void 0};return this.LS.setItem(this.keys.modelMetadata,JSON.stringify(r)),{modelArtifactsInfo:a}}catch(r){throw jI(this.keys),new Error(`Failed to save model '${this.modelPath}' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=${a.modelTopologyBytes}, weightSpecsBytes=${a.weightSpecsBytes}, weightDataBytes=${a.weightDataBytes}.`)}}}async load(){let e=JSON.parse(this.LS.getItem(this.keys.info));if(e==null)throw new Error(`In local storage, there is no model with name '${this.modelPath}'`);if(e.modelTopologyType!=="JSON")throw new Error("BrowserLocalStorage does not support loading non-JSON model topology yet.");let t={},n=JSON.parse(this.LS.getItem(this.keys.topology));if(n==null)throw new Error(`In local storage, the topology of model '${this.modelPath}' is missing.`);t.modelTopology=n;let a=JSON.parse(this.LS.getItem(this.keys.weightSpecs));if(a==null)throw new Error(`In local storage, the weight specs of model '${this.modelPath}' are missing.`);t.weightSpecs=a;let r=this.LS.getItem(this.keys.modelMetadata);if(r!=null){let i=JSON.parse(r);t.format=i.format,t.generatedBy=i.generatedBy,t.convertedBy=i.convertedBy,i.signature!=null&&(t.signature=i.signature),i.userDefinedMetadata!=null&&(t.userDefinedMetadata=i.userDefinedMetadata),i.modelInitializer!=null&&(t.modelInitializer=i.modelInitializer),i.trainingConfig!=null&&(t.trainingConfig=i.trainingConfig)}let s=this.LS.getItem(this.keys.weightData);if(s==null)throw new Error(`In local storage, the binary weight values of model '${this.modelPath}' are missing.`);return t.weightData=kD(s),t}};ni.URL_SCHEME="localstorage://";var qI=e=>H().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(ni.URL_SCHEME)?BD(e.slice(ni.URL_SCHEME.length)):null;At.registerSaveRouter(qI);At.registerLoadRouter(qI);function BD(e){return new ni(e)}var WD=class{constructor(){$(H().getBool("IS_BROWSER"),()=>"Current environment is not a web browser"),$(typeof window=="undefined"||typeof window.localStorage!="undefined",()=>"Current browser does not appear to support localStorage"),this.LS=window.localStorage}async listModels(){let e={},t=Ko+kr,n=kr+GI;for(let a=0;a"scheme must not be undefined or null."),e.endsWith(Zo)&&(e=e.slice(0,e.indexOf(Zo))),$(e.length>0,()=>"scheme must not be an empty string.");let n=Rn.getInstance();$(n.managers[e]==null,()=>`A model store manager is already registered for scheme '${e}'.`),n.managers[e]=t}static getManager(e){let t=Rn.getInstance().managers[e];if(t==null)throw new Error(`Cannot find model manager for scheme '${e}'`);return t}static getSchemes(){return Object.keys(Rn.getInstance().managers)}};function ah(e){if(e.indexOf(Zo)===-1)throw new Error(`The url string provided does not contain a scheme. Supported schemes are: ${Rn.getSchemes().join(",")}`);return{scheme:e.split(Zo)[0],path:e.split(Zo)[1]}}async function KI(e,t,n=!1){$(e!==t,()=>`Old path and new path are the same: '${e}'`);let a=At.getLoadHandlers(e);$(a.length>0,()=>`Copying failed because no load handler is found for source URL ${e}.`),$(a.length<2,()=>`Copying failed because more than one (${a.length}) load handlers for source URL ${e}.`);let r=a[0],s=At.getSaveHandlers(t);$(s.length>0,()=>`Copying failed because no save handler is found for destination URL ${t}.`),$(s.length<2,()=>`Copying failed because more than one (${a.length}) save handlers for destination URL ${t}.`);let i=s[0],o=ah(e).scheme,l=ah(e).path,u=o===ah(e).scheme,p=await r.load();n&&u&&await Rn.getManager(o).removeModel(l);let d=await i.save(p);return n&&!u&&await Rn.getManager(o).removeModel(l),d.modelArtifactsInfo}async function VD(){let e=Rn.getSchemes(),t={};for(let n of e){let a=await Rn.getManager(n).listModels();for(let r in a){let s=n+Zo+r;t[s]=a[r]}}return t}async function UD(e){let t=ah(e);return Rn.getManager(t.scheme).removeModel(t.path)}async function GD(e,t){return KI(e,t,!1)}async function HD(e,t){return KI(e,t,!0)}var jD=class{constructor(){this.messageName="setTimeoutCustom",this.functionRefs=[],this.handledMessageCount=0,this.hasEventListener=!1}fetch(e,t){return fetch(e,t)}now(){return performance.now()}encode(e,t){if(t!=="utf-8"&&t!=="utf8")throw new Error(`Browser's encoder only supports utf-8, but got ${t}`);return this.textEncoder==null&&(this.textEncoder=new TextEncoder),this.textEncoder.encode(e)}decode(e,t){return new TextDecoder(t).decode(e)}setTimeoutCustom(e,t){if(!window||!H().getBool("USE_SETTIMEOUTCUSTOM")){setTimeout(e,t);return}this.functionRefs.push(e),setTimeout(()=>{window.postMessage({name:this.messageName,index:this.functionRefs.length-1},"*")},t),this.hasEventListener||(this.hasEventListener=!0,window.addEventListener("message",n=>{if(n.source===window&&n.data.name===this.messageName){n.stopPropagation();let a=this.functionRefs[n.data.index];a(),this.handledMessageCount++,this.handledMessageCount===this.functionRefs.length&&(this.functionRefs=[],this.handledMessageCount=0)}},!0))}};if(H().get("IS_BROWSER")){H().setPlatform("browser",new jD);try{Rn.registerManager(ni.URL_SCHEME,new WD)}catch(e){}try{Rn.registerManager(ti.URL_SCHEME,new DD)}catch(e){}}var qD={importFetch:()=>nF()},sy,KD=class{constructor(){this.util=aF(),this.textEncoder=new this.util.TextEncoder}fetch(e,t){return H().global.fetch!=null?H().global.fetch(e,t):(sy==null&&(sy=qD.importFetch()),sy(e,t))}now(){let e=process.hrtime();return e[0]*1e3+e[1]/1e6}encode(e,t){if(t!=="utf-8"&&t!=="utf8")throw new Error(`Node built-in encoder only supports utf-8, but got ${t}`);return this.textEncoder.encode(e)}decode(e,t){return e.length===0?"":new this.util.TextDecoder(t).decode(e)}};H().get("IS_NODE")&&!H().get("IS_BROWSER")&&H().setPlatform("node",new KD);function Pe(e,t="float32",n){return t=t||"float32",xx(e),new Ht(e,t,n)}function XD(e,t){let n=_(e,"x","cast");if(!xI(t))throw new Error(`Failed to cast to unknown dtype ${t}`);if(t==="string"&&n.dtype!=="string"||t!=="string"&&n.dtype==="string")throw new Error("Only strings can be casted to strings");let a={x:n},r={dtype:t};return O.runKernel(yi,a,r)}var oe=L({cast_:XD});function YD(e){let t={x:_(e,"x","clone","string_or_numeric")};return O.runKernel(Di,t)}var ar=L({clone_:YD});function Ex(e,t=!1){console.log(e.toString(t))}MI();var ZD={buffer:Pe,cast:oe,clone:ar,print:Ex};lD(ZD);var Ut={};_e(Ut,{browserFiles:()=>rR,browserHTTPRequest:()=>uR,concatenateArrayBuffers:()=>Cx,copyModel:()=>GD,decodeWeights:()=>LI,encodeWeights:()=>xD,fromMemory:()=>cR,fromMemorySync:()=>QI,getLoadHandlers:()=>AD,getModelArtifactsForJSON:()=>_x,getModelArtifactsForJSONSync:()=>BI,getModelArtifactsInfoForJSON:()=>Sc,getSaveHandlers:()=>ED,getWeightSpecs:()=>WI,http:()=>$x,isHTTPScheme:()=>Ey,listModels:()=>VD,loadWeights:()=>sR,moveModel:()=>HD,registerLoadRouter:()=>_D,registerSaveRouter:()=>CD,removeModel:()=>UD,weightsLoaderFactory:()=>YI,withSaveHandler:()=>dR,withSaveHandlerSync:()=>hR});var JD="model",QD=".json",eR=".weights.bin";function G1(e){return new Promise(t=>setTimeout(t)).then(e)}var nl=class{constructor(e){if(!H().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a browser.");e.startsWith(nl.URL_SCHEME)&&(e=e.slice(nl.URL_SCHEME.length)),(e==null||e.length===0)&&(e=JD),this.modelJsonFileName=e+QD,this.weightDataFileName=e+eR}async save(e){if(typeof document=="undefined")throw new Error("Browser downloads are not supported in this environment since `document` is not present");let t=window.URL.createObjectURL(new Blob([e.weightData],{type:"application/octet-stream"}));if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");{let n=[{paths:["./"+this.weightDataFileName],weights:e.weightSpecs}],a=zI(e,n),r=window.URL.createObjectURL(new Blob([JSON.stringify(a)],{type:"application/json"})),s=this.modelJsonAnchor==null?document.createElement("a"):this.modelJsonAnchor;if(s.download=this.modelJsonFileName,s.href=r,await G1(()=>s.dispatchEvent(new MouseEvent("click"))),e.weightData!=null){let i=this.weightDataAnchor==null?document.createElement("a"):this.weightDataAnchor;i.download=this.weightDataFileName,i.href=t,await G1(()=>i.dispatchEvent(new MouseEvent("click")))}return{modelArtifactsInfo:Sc(e)}}}};nl.URL_SCHEME="downloads://";var tR=class{constructor(e){if(e==null||e.length<1)throw new Error(`When calling browserFiles, at least 1 file is required, but received ${e}`);this.jsonFile=e[0],this.weightsFiles=e.slice(1)}async load(){return new Promise((e,t)=>{let n=new FileReader;n.onload=a=>{let r=JSON.parse(a.target.result),s=r.modelTopology;if(s==null){t(new Error(`modelTopology field is missing from file ${this.jsonFile.name}`));return}if(r.weightsManifest==null){t(new Error(`weightManifest field is missing from file ${this.jsonFile.name}`));return}if(this.weightsFiles.length===0){e({modelTopology:s});return}let i=_x(r,o=>this.loadWeights(o));e(i)},n.onerror=a=>t(`Failed to read model topology and weights manifest JSON from file '${this.jsonFile.name}'. BrowserFiles supports loading Keras-style tf.Model artifacts only.`),n.readAsText(this.jsonFile)})}loadWeights(e){let t=[],n=[];for(let s of e)t.push(...s.weights),n.push(...s.paths);let a=this.checkManifestAndWeightFiles(e),r=n.map(s=>this.loadWeightsFile(s,a[s]));return Promise.all(r).then(s=>[t,Cx(s)])}loadWeightsFile(e,t){return new Promise((n,a)=>{let r=new FileReader;r.onload=s=>{let i=s.target.result;n(i)},r.onerror=s=>a(`Failed to weights data from file of path '${e}'.`),r.readAsArrayBuffer(t)})}checkManifestAndWeightFiles(e){let t=[],n=this.weightsFiles.map(r=>U1(r.name)),a={};for(let r of e)r.paths.forEach(s=>{let i=U1(s);if(t.indexOf(i)!==-1)throw new Error(`Duplicate file basename found in weights manifest: '${i}'`);if(t.push(i),n.indexOf(i)===-1)throw new Error(`Weight file with basename '${i}' is not provided.`);a[s]=this.weightsFiles[n.indexOf(i)]});if(t.length!==this.weightsFiles.length)throw new Error(`Mismatch in the number of files in weights manifest (${t.length}) and the number of weight files provided (${this.weightsFiles.length}).`);return a}},nR=e=>H().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(nl.URL_SCHEME)?aR(e.slice(nl.URL_SCHEME.length)):null;At.registerSaveRouter(nR);function aR(e="model"){return new nl(e)}function rR(e){return new tR(e)}function H1(e,t,n,a){i(e),n=n==null?0:n,a=a==null?1:a,o(n,a);let r=0,s=l=>(l.then(u=>{let p=n+ ++r/e.length*(a-n);return t(p),u}),l);function i(l){$(l!=null&&Array.isArray(l)&&l.length>0,()=>"promises must be a none empty array")}function o(l,u){$(l>=0&&l<=1,()=>`Progress fraction must be in range [0, 1], but got startFraction ${l}`),$(u>=0&&u<=1,()=>`Progress fraction must be in range [0, 1], but got endFraction ${u}`),$(u>=l,()=>`startFraction must be no more than endFraction, but got startFraction ${l} and endFraction ${u}`)}return Promise.all(e.map(s))}async function XI(e,t){t==null&&(t={});let n=t.fetchFunc==null?H().platform.fetch:t.fetchFunc,a=e.map(u=>n(u,t.requestInit,{isBinary:!0})),r=0,s=.5,i=(t.onProgress==null?await Promise.all(a):await H1(a,t.onProgress,r,s)).map(u=>u.arrayBuffer()),o=.5,l=1;return t.onProgress==null?await Promise.all(i):await H1(i,t.onProgress,o,l)}async function sR(e,t="",n,a){return YI(r=>XI(r,{requestInit:a}))(e,t,n)}function YI(e){return async(t,n="",a)=>{let r=t.map(()=>!1),s={},i=a!=null?a.map(()=>!1):[],o=[];if(t.forEach((h,m)=>{let f=0;h.weights.forEach(g=>{let b="quantization"in g?g.quantization.dtype:g.dtype,y=Ty[b]*mt(g.shape),x=()=>{r[m]=!0,s[m]==null&&(s[m]=[]),s[m].push({manifestEntry:g,groupOffset:f,sizeBytes:y})};a!=null?a.forEach((w,I)=>{w===g.name&&(x(),i[I]=!0)}):x(),o.push(g.name),f+=y})}),!i.every(h=>h)){let h=a.filter((m,f)=>!i[f]);throw new Error(`Could not find weights in manifest with names: ${h.join(", ")}. -Manifest JSON has weights with names: ${o.join(", ")}.`)}let l=r.reduce((h,m,f)=>(m&&h.push(f),h),[]),u=[];l.forEach(h=>{t[h].paths.forEach(m=>{let f=n+(n.endsWith("/")?"":"/")+m;u.push(f)})});let p=await e(u),d={},c=0;return l.forEach(h=>{let m=t[h].paths.length,f=0;for(let x=0;x{let w=g.slice(x.groupOffset,x.groupOffset+x.sizeBytes),I=LI(w,[x.manifestEntry]);for(let T in I)d[T]=I[T]}),c+=m}),d}}var iR="application/octet-stream",oR="application/json",Ax=class{constructor(e,t){if(this.DEFAULT_METHOD="POST",t==null&&(t={}),this.weightPathPrefix=t.weightPathPrefix,this.onProgress=t.onProgress,this.weightUrlConverter=t.weightUrlConverter,t.fetchFunc!=null?($(typeof t.fetchFunc=="function",()=>"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"),this.fetch=t.fetchFunc):this.fetch=H().platform.fetch,$(e!=null&&e.length>0,()=>"URL path for http must not be null, undefined or empty."),Array.isArray(e)&&$(e.length===2,()=>`URL paths for http must have a length of 2, (actual length is ${e.length}).`),this.path=e,t.requestInit!=null&&t.requestInit.body!=null)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=t.requestInit||{}}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");let t=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);t.body=new FormData;let n=[{paths:["./model.weights.bin"],weights:e.weightSpecs}],a=zI(e,n);t.body.append("model.json",new Blob([JSON.stringify(a)],{type:oR}),"model.json"),e.weightData!=null&&t.body.append("model.weights.bin",new Blob([e.weightData],{type:iR}),"model.weights.bin");let r=await this.fetch(this.path,t);if(r.ok)return{modelArtifactsInfo:Sc(e),responses:[r]};throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${r.status}.`)}async load(){let e=await this.fetch(this.path,this.requestInit);if(!e.ok)throw new Error(`Request to ${this.path} failed with status code ${e.status}. Please verify this URL points to the model JSON of the model to load.`);let t;try{t=await e.json()}catch(r){let s=`Failed to parse model JSON of response from ${this.path}.`;throw this.path.endsWith(".pb")?s+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.":s+=" Please make sure the server is serving valid JSON for this request.",new Error(s)}let n=t.modelTopology,a=t.weightsManifest;if(n==null&&a==null)throw new Error(`The JSON from HTTP path ${this.path} contains neither model topology or manifest for weights.`);return _x(t,r=>this.loadWeights(r))}async loadWeights(e){let t=Array.isArray(this.path)?this.path[1]:this.path,[n,a]=lR(t),r=this.weightPathPrefix||n,s=WI(e),i=[],o=[];for(let u of e)for(let p of u.paths)this.weightUrlConverter!=null?o.push(this.weightUrlConverter(p)):i.push(r+p+a);this.weightUrlConverter&&i.push(...await Promise.all(o));let l=await XI(i,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress});return[s,Cx(l)]}};Ax.URL_SCHEME_REGEX=/^https?:\/\//;function lR(e){let t=e.lastIndexOf("/"),n=e.lastIndexOf("?"),a=e.substring(0,t),r=n>t?e.substring(n):"";return[a+"/",r]}function Ey(e){return e.match(Ax.URL_SCHEME_REGEX)!=null}var ZI=(e,t)=>{if(typeof fetch=="undefined"&&(t==null||t.fetchFunc==null))return null;{let n=!0;if(Array.isArray(e)?n=e.every(a=>Ey(a)):n=Ey(e),n)return $x(e,t)}return null};At.registerSaveRouter(ZI);At.registerLoadRouter(ZI);function $x(e,t){return new Ax(e,t)}function uR(e,t){return $x(e,t)}var iy=class{constructor(e){this.modelArtifacts=e}load(){return this.modelArtifacts}},JI=class{constructor(e){this.saveHandler=e}save(e){return this.saveHandler(e)}},pR=class{constructor(e){e.load&&(this.load=()=>Promise.resolve(e.load())),e.save&&(this.save=t=>Promise.resolve(e.save(t)))}};function cR(e,t,n,a){let r=arguments;return new pR(QI(...r))}function QI(e,t,n,a){return arguments.length===1?e.modelTopology!=null||e.weightSpecs!=null?new iy(e):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new iy({modelTopology:e})):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new iy({modelTopology:e,weightSpecs:t,weightData:n,trainingConfig:a}))}function dR(e){return new JI(e)}function hR(e){return new JI(e)}var eS={};_e(eS,{confusionMatrix:()=>RR});function mR(e,t,n=!1,a=!1){let r=_(e,"a","matMul"),s=_(t,"b","matMul");[r,s]=_t(r,s);let i={a:r,b:s},o={transposeA:n,transposeB:a};return O.runKernel(bi,i,o)}var Ae=L({matMul_:mR});function fR(e,t,n=1,a=0,r="int32"){if(t<2)throw new Error(`Error in oneHot: depth must be >=2, but it is ${t}`);let s={indices:_(e,"indices","oneHot","int32")},i={dtype:r,depth:t,onValue:n,offValue:a};return O.runKernel(Gi,s,i)}var al=L({oneHot_:fR});function gR(){H().set("PROD",!0)}function bR(){H().set("DEBUG",!0)}function yR(){H().set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")}function Fx(e){H().getBool("DEPRECATION_WARNINGS_ENABLED")&&console.warn(e+" You can disable deprecation warnings with tf.disableDeprecationWarnings().")}uD(Fx);function xR(){O.disposeVariables()}function Ja(){return O}function kh(){return O.memory()}function vR(e){return O.profile(e)}function P(e,t){return O.tidy(e,t)}function $e(e){Sx(e).forEach(t=>t.dispose())}function Zt(e){return O.keep(e)}function wR(e){return O.time(e)}function kR(e){return O.setBackend(e)}function IR(){return O.ready()}function SR(){return O.backendName}function TR(e){O.removeBackend(e)}function NR(e){return O.findBackend(e)}function CR(e){return O.findBackendFactory(e)}function Cm(e,t,n=1){return O.registerBackend(e,t,n)}function tS(){return O.backend}function _R(e,t){H().setPlatform(e,t)}function ER(e){let t={input:_(e,"input","imag")};return O.runKernel(pm,t)}var Tc=L({imag_:ER});function AR(e){let t={x:_(e,"x","neg")};return O.runKernel(Jl,t)}var yt=L({neg_:AR});function $R(e){let t={input:_(e,"input","real")};return O.runKernel(xm,t)}var rl=L({real_:$R});function FR(e,t,n){let a=_(e,"x","transpose");if(t==null&&(t=a.shape.map((i,o)=>o).reverse()),$(a.rank===t.length,()=>`Error in transpose: rank of input ${a.rank} must match length of perm ${t}.`),t.forEach(i=>{$(i>=0&&i`All entries in 'perm' must be between 0 and ${a.rank-1} but got ${t}`)}),a.rank<=1)return a.clone();let r={x:a},s={perm:t};return a.dtype==="complex64"?P(()=>{let i=rl(a),o=Tc(a);return i=O.runKernel(Tr,{x:i},s),o=O.runKernel(Tr,{x:o},s),n&&(o=yt(o)),Cr(i,o)}):O.runKernel(Tr,r,s)}var Ce=L({transpose_:FR});function DR(e,t,n){let a=_(e,"labels","confusionMatrix"),r=_(t,"predictions","confusionMatrix");$(n==null||n>0&&Number.isInteger(n),()=>`If provided, numClasses must be a positive integer, but got ${n}`),$(a.rank===1,()=>`Expected the rank of labels to be 1, but got ${a.rank}`),$(r.rank===1,()=>`Expected the rank of predictions to be 1, but got ${r.rank}`),$(a.shape[0]===r.shape[0],()=>`Mismatch in the number of examples: ${a.shape[0]} vs. ${r.shape[0]}. Labels and predictions should have the same number of elements.`),$(n>0&&Number.isInteger(n),()=>`numClasses is required to be a positive integer, but got ${n}`);let s=al(oe(a,"int32"),n),i=al(oe(r,"int32"),n),o=Ce(s),l=Ae(o,i);return oe(l,"int32")}var RR=L({confusionMatrix_:DR}),Iu={};_e(Iu,{assertAndGetBroadcastShape:()=>lt,getBroadcastDims:()=>nS,getReductionAxes:()=>Bt});function nS(e,t){let n=e.length,a=[];for(let r=0;r1&&i===1&&a.unshift(s)}return a}function Bt(e,t){let n=[];for(let a=0;a1)&&n.unshift(s)}return n}function lt(e,t){let n=[],a=Math.max(e.length,t.length);for(let r=0;rWR,fromPixelsAsync:()=>zR,toPixels:()=>BR});function Nc(e,t,n){if(hi(e),t!=null&&t.length!==3)throw new Error("tensor3d() requires shape to have three numbers");let a=sr(e,n);if(a.length!==3&&a.length!==1)throw new Error("tensor3d() requires values to be number[][][] or flat/TypedArray");if(a.length===1&&t==null)throw new Error("tensor3d() requires shape to be provided when `values` are a flat array");return ms(e,t,a,n)}var Ps;function aS(e,t=3){if(t>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");if(e==null)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");let n=!1,a=!1,r=!1,s=!1,i=!1,o=!1;if(e.data instanceof Uint8Array)n=!0;else if(typeof ImageData!="undefined"&&e instanceof ImageData)a=!0;else if(typeof HTMLVideoElement!="undefined"&&e instanceof HTMLVideoElement)r=!0;else if(typeof HTMLImageElement!="undefined"&&e instanceof HTMLImageElement)s=!0;else if(e.getContext!=null)i=!0;else if(typeof ImageBitmap!="undefined"&&e instanceof ImageBitmap)o=!0;else throw new Error(`pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was ${e.constructor.name}`);if(yh(bh,O.backendName)!=null){let c={pixels:e},h={numChannels:t};return O.runKernel(bh,c,h)}let[l,u]=r?[e.videoWidth,e.videoHeight]:[e.width,e.height],p;if(i)p=e.getContext("2d").getImageData(0,0,l,u).data;else if(a||n)p=e.data;else if(s||r||o){if(Ps==null)if(typeof document=="undefined")if(typeof OffscreenCanvas!="undefined"&&typeof OffscreenCanvasRenderingContext2D!="undefined")Ps=new OffscreenCanvas(1,1).getContext("2d");else throw new Error("Cannot parse input in current context. Reason: OffscreenCanvas Context2D rendering is not supported.");else Ps=document.createElement("canvas").getContext("2d",{willReadFrequently:!0});Ps.canvas.width=l,Ps.canvas.height=u,Ps.drawImage(e,0,0,l,u),p=Ps.getImageData(0,0,l,u).data}let d;if(t===4)d=new Int32Array(p);else{let c=l*u;d=new Int32Array(c*t);for(let h=0;h4||s===2)throw new Error(`toPixels only supports depth of size 1, 3 or 4 but got ${s}`);if(n.dtype!=="float32"&&n.dtype!=="int32")throw new Error(`Unsupported type for toPixels: ${n.dtype}. Please use float32 or int32 tensors.`);let i=await n.data(),o=n.dtype==="float32"?255:1,l=new Uint8ClampedArray(r*a*4);for(let u=0;u1)throw new Error(`Tensor values for a float32 Tensor must be in the range [0 - 1] but encountered ${h}.`)}else if(n.dtype==="int32"&&(h<0||h>255))throw new Error(`Tensor values for a int32 Tensor must be in the range [0 - 255] but encountered ${h}.`);s===1?(p[0]=h*o,p[1]=h*o,p[2]=h*o):p[c]=h*o}let d=u*4;l[d+0]=Math.round(p[0]),l[d+1]=Math.round(p[1]),l[d+2]=Math.round(p[2]),l[d+3]=Math.round(p[3])}if(t!=null){t.width=r,t.height=a;let u=t.getContext("2d"),p=new ImageData(l,r,a);u.putImageData(p,0,0)}return n!==e&&n.dispose(),l}var WR=L({fromPixels_:aS}),Dx={};_e(Dx,{prepareAndValidate:()=>rS});function rS(e,t){let n=e.shape.length,a=t.shape.length;if(n<1)throw new Error(`tf.gatherND() expects the input to be rank 1 or higher, but the rank was ${n}.`);if(a<1)throw new Error(`tf.gatherND() expects the indices to be rank 1 or higher, but the rank was ${a}.`);if(t.dtype!=="int32")throw new Error(`tf.gatherND() expects the indices to be int32 type, but the dtype was ${t.dtype}.`);if(t.shape[a-1]>n)throw new Error(`index innermost dimension length must be <= tensor rank; saw: ${t.shape[a-1]} vs. ${n}`);if(mt(e.shape)===0)throw new Error(`Requested more than 0 entries, but input is empty. Input shape: ${e.shape}.`);let r=t.shape,s=r[r.length-1],i=1;for(let d=0;dd/u),1].slice(0,s);return[l,i,u,p]}var Rx={};_e(Rx,{calculateShapes:()=>sS,validateInput:()=>Px,validateUpdateShape:()=>Mx});function Mx(e,t,n){let a=t.rank>1?t.shape[t.rank-1]:1,r=t.rank>1?t.rank-1:1,s=`Must have updates.shape = indices.shape[:batchDim] + shape[sliceDim:], got updates.shape: ${n.shape}, indices.shape: ${t.shape}, shape: ${e}, sliceDim: ${a}, and batchDim: ${r}.`;if(n.rank1?t.shape[a-1]:1,s=n.length,i=1;for(let d=r;dUR,computeFlatOffset:()=>KR,computeOutShape:()=>HR,getNormalizedAxes:()=>jR,isSliceContinous:()=>qR,maskToAxes:()=>GR,parseSliceParams:()=>mS,sliceInfo:()=>XR,startForAxis:()=>dS,startIndicesWithElidedDims:()=>uS,stopForAxis:()=>hS,stopIndicesWithElidedDims:()=>pS,stridesForAxis:()=>cS,stridesWithElidedDims:()=>iS});var Ay=-2,VR=-1;function UR(e,t,n){let a=e.shape.length;$(a===t.length,()=>`Error in slice${a}D: Length of begin ${t} must match the rank of the array (${a}).`),$(a===n.length,()=>`Error in slice${a}D: Length of size ${n} must match the rank of the array (${a}).`);for(let r=0;r`Error in slice${a}D: begin[${r}] + size[${r}] (${t[r]+n[r]}) would overflow input.shape[${r}] (${e.shape[r]})`)}function GR(e){let t=[],n=0;for(;e>0;)e&1&&t.push(n),e/=2,n++;return t}function HR(e,t,n){let a=[];for(let r=0;r0){let h=t[0],m=n+1;p=uS(i,h,m,a,e),d=pS(o,h,m,r,e),c=iS(s,h,m,e)}else for(let h=0;h-1)s[o]=0;else{let l=oS(t,n,o),u=a[l];e&1<-1)s[o]=Number.MAX_SAFE_INTEGER;else{let l=oS(t,n,o),u=a[l];e&1<0?i=Number.MIN_SAFE_INTEGER:i=Number.MAX_SAFE_INTEGER);let l=a[r];return i<0&&(i+=l),i=zp(0,i,l-1),i}function hS(e,t,n,a,r,s){let i=t[r],o=n[r]||1;(e&1<0?i=Number.MAX_SAFE_INTEGER:i=Number.MIN_SAFE_INTEGER);let l=a[r];return i<0&&(i+=l),o>0?i=zp(0,i,l):i=zp(-1,i,l-1),i}function qR(e,t,n){let a=n.length;for(let r=0;r1){a=r;break}for(let r=a+1;r0||n[r]!==e[r])return!1;return!0}function KR(e,t){let n=e.length>0?e[e.length-1]:1;for(let a=0;a{$(i!==-1,()=>"slice() does not support negative begin indexing.")});let s;return n==null?s=new Array(r).fill(-1):typeof n=="number"?s=[n,...new Array(r-1).fill(-1)]:n.lengthi>=0?i:($(i===-1,()=>`Negative size values should be exactly -1 but got ${i} for the slice() size at index ${o}.`),e.shape[o]-a[o])),[a,s]}function XR(e,t,n,a,r,s,i,o,l){let u;if(a==null?(u=new Array(t.length),u.fill(1)):u=a,i!=null&&(i&i-1)!==0)throw new Error("Multiple ellipses in slice is not allowed.");let p=!1,d={dims:u.length,numAddAxisAfterEllipsis:0,begin:t.slice(),end:n.slice(),strides:u.slice(),beginMask:r,endMask:s,ellipsisMask:i,newAxisMask:o,shrinkAxisMask:l};for(let y=0;y0?0:-1,c.strides[y]>0?w:w-1];if(x&&c.strides[y]<=0)throw Error("only stride 1 allowed on non-range indexing.");f=f&&c.strides[y]===1;let C=!!(c.beginMask&1<=w)throw Error(`slice index ${c.begin[y]} of dimension ${y} out of bounds.`)}else c.begin[y]=j1(c.begin[y],0,c.strides[y],w,I,T),c.end[y]=j1(c.end[y],1,c.strides[y],w,I,T);let R=c.strides[y]===1&&c.begin[y]===0&&c.end[y]===w;h=h&&R,m=m&&(y===0&&c.strides[y]===1||R)}else h=h&&c.strides[y]===1&&C,m=m&&(y===0&&c.strides[y]===1||C);let E,A=!1;if(c.beginValid&&c.endValid?(E=c.end[y]-c.begin[y],A=!0):x?(E=1,A=!0):C&&w>=0&&(c.strides[y]<0?E=-w:E=w,A=!0),A){let R;E===0||E<0!=c.strides[y]<0?R=0:R=Math.trunc(E/c.strides[y])+(E%c.strides[y]!==0?1:0),g.push(R)}else g.push(-1)}for(let y=0;y=0?b.push(g[x]):x===Ay&&b.push(1)}return{finalShapeSparse:b.filter((y,x)=>c.finalShapeGatherIndices[x]!==Ay),finalShape:b,isIdentity:h,sliceDim0:m,isSimpleSlice:f,begin:c.begin,end:c.end,strides:c.strides}}function YR(e,t){t.beginMask=0,t.endMask=0,t.shrinkAxisMask=0;let n=0;t.beginValid=e.begin!=null,t.endValid=e.end!=null,t.begin=new Array(t.dims),t.end=new Array(t.dims),t.strides=new Array(t.dims),t.finalShapeGatherIndices=[],t.finalShapeGatherIndicesSparse=[],t.inputShapeGatherIndicesSparse=new Array(t.dims);for(let a=0;a0?s[t]:s[t+1&1];{let i=e<0?a+e:e;return is[1]?s[1]:i}}var ne={};_e(ne,{Serializable:()=>fS,SerializationMap:()=>Ws,registerClass:()=>fs});var fS=class{getClassName(){return this.constructor.className}static fromConfig(e,t){return new e(t)}},Ws=class{constructor(){this.classNameMap={}}static getMap(){return Ws.instance==null&&(Ws.instance=new Ws),Ws.instance}static register(e){Ws.getMap().classNameMap[e.className]=[e,e.fromConfig]}};function fs(e){$(e.className!=null,()=>"Class being registered does not have the static className property defined."),$(typeof e.className=="string",()=>"className is required to be a string, but got type "+typeof e.className),$(e.className.length>0,()=>"Class being registered has an empty-string as its className, which is disallowed."),Ws.register(e)}var gS={};_e(gS,{TEST_EPSILON_FLOAT16:()=>bS,createVideoElement:()=>rM,encodeStrings:()=>yS,expectArrayBuffersEqual:()=>aM,expectArraysClose:()=>JR,expectArraysEqual:()=>eM,expectNumbersClose:()=>tM,expectPromiseToFail:()=>QR,expectValuesInRange:()=>nM,play:()=>sM,testEpsilon:()=>Ox});var ZR=.001,bS=.1;function JR(e,t,n){return n==null&&(n=Ox()),$y(e,t,(a,r)=>Lx(a,r,n))}function Ox(){return O.backend.floatPrecision()===32?ZR:bS}function $y(e,t,n){let a=!0;if((dn(e)||dn(t))&&(a=!1),dn(e)&&dn(t)&&(a=!0),a){let i=e.constructor.name,o=t.constructor.name;if(i!==o)throw new Error(`Arrays are of different type. Actual: ${i}. Expected: ${o}`)}if(Array.isArray(e)&&Array.isArray(t)){let i=sr(e),o=sr(t);if(!us(i,o))throw new Error(`Arrays have different shapes. Actual: [${i}]. Expected: [${o}]`)}let r=dn(e)?e:Zs(e),s=dn(t)?t:Zs(t);if(r.length!==s.length)throw new Error(`Arrays have different lengths actual: ${r.length} vs expected: ${s.length}. +`;return c[c.length-1]=" "+c[c.length-1]+"]"+(s?"":m),c}function _p(e){let t=[];for(let n=0;n`Length of values '${a}' does not match the size inferred by the shape '${this.size}'.`)}if(t==="complex64")throw new Error("complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).");this.values=n||SI(t,this.size),this.strides=vl(e)}set(e,...t){t.length===0&&(t=[0]),$(t.length===this.rank,()=>`The number of provided coordinates (${t.length}) must match the rank (${this.rank})`);let n=this.locToIndex(t);this.values[n]=e}get(...e){e.length===0&&(e=[0]);let t=0;for(let a of e){if(a<0||a>=this.shape[t]){let r=`Requested out of range element at ${e}. Buffer shape=${this.shape}`;throw new Error(r)}t++}let n=e[e.length-1];for(let a=0;avh(n))}catch(n){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}}return e}dataToGPU(e){return this.throwIfDisposed(),Oa().readToGPU(this.dataId,e)}dataSync(){this.throwIfDisposed();let e=Oa().readSync(this.dataId);if(this.dtype==="string")try{return e.map(t=>vh(t))}catch(t){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return e}async bytes(){this.throwIfDisposed();let e=await Oa().read(this.dataId);return this.dtype==="string"?e:new Uint8Array(e.buffer)}dispose(){this.isDisposed||(Oa().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(e=!1){return Ko.print(this,e)}clone(){return this.throwIfDisposed(),Ko.clone(this)}toString(e=!1){let t=this.dataSync();return dD(t,this.shape,this.dtype,e)}cast(e){return this.throwIfDisposed(),Ko.cast(this,e)}variable(e=!0,t,n){return this.throwIfDisposed(),Oa().makeVariable(this,e,t,n)}};Object.defineProperty(Te,Symbol.hasInstance,{value:e=>!!e&&e.data!=null&&e.dataSync!=null&&e.throwIfDisposed!=null});function J(){return Sx("Tensor",()=>Te)}J();var ts=class extends Te{constructor(e,t,n,a){super(e.shape,e.dtype,e.dataId,a),this.trainable=t,this.name=n}assign(e){if(e.dtype!==this.dtype)throw new Error(`dtype of the new value (${e.dtype}) and previous value (${this.dtype}) must match`);if(!ps(e.shape,this.shape))throw new Error(`shape of the new value (${e.shape}) and previous value (${this.shape}) must match`);Oa().disposeTensor(this),this.dataId=e.dataId,Oa().incRef(this,null)}dispose(){Oa().disposeVariable(this),this.isDisposedInternal=!0}};Object.defineProperty(ts,Symbol.hasInstance,{value:e=>e instanceof Te&&e.assign!=null&&e.assign instanceof Function});var Va={};Ae(Va,{assertTypesMatch:()=>WI,getTensorsInContainer:()=>Nx,isTensorInList:()=>xD,makeTypesMatch:()=>_t});var wy;(function(e){e.R0="R0",e.R1="R1",e.R2="R2",e.R3="R3",e.R4="R4",e.R5="R5",e.R6="R6"})(wy||(wy={}));var ky;(function(e){e.float32="float32",e.int32="int32",e.bool="int32",e.complex64="complex64"})(ky||(ky={}));var Iy;(function(e){e.float32="float32",e.int32="int32",e.bool="bool",e.complex64="complex64"})(Iy||(Iy={}));var Sy;(function(e){e.float32="float32",e.int32="float32",e.bool="float32",e.complex64="complex64"})(Sy||(Sy={}));var Ty;(function(e){e.float32="complex64",e.int32="complex64",e.bool="complex64",e.complex64="complex64"})(Ty||(Ty={}));var yD={float32:Sy,int32:ky,bool:Iy,complex64:Ty};function ma(e,t){if(e==="string"||t==="string"){if(e==="string"&&t==="string")return"string";throw new Error(`Can not upcast ${e} with ${t}`)}return yD[e][t]}function _m(e){return ma(e,"int32")}function _t(e,t){if(e.dtype===t.dtype)return[e,t];let n=ma(e.dtype,t.dtype);return[e.cast(n),t.cast(n)]}function WI(e,t){$(e.dtype===t.dtype,()=>`The dtypes of the first(${e.dtype}) and second(${t.dtype}) input must match`)}function xD(e,t){return t.some(n=>n.id===e.id)}function Nx(e){let t=[];return BI(e,t,new Set),t}function BI(e,t,n){if(e==null)return;if(e instanceof Te){t.push(e);return}if(!vD(e))return;let a=e;for(let r in a){let s=a[r];n.has(s)||(n.add(s),BI(s,t,n))}}function vD(e){return Array.isArray(e)||typeof e=="object"}function iy(e){return e.kernelName!=null}var G1=class{constructor(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null,get kernelNames(){return Array.from(new Set(this.kernels.map(e=>e.name)))}}}dispose(){for(let e in this.registeredVariables)this.registeredVariables[e].dispose()}},Hp=class{constructor(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new G1}async ready(){if(this.pendingBackendInit!=null)return this.pendingBackendInit.then(()=>{});if(this.backendInstance!=null)return;let e=this.getSortedBackends();for(let t=0;t{e.setupFunc!=null&&e.setupFunc(this.backendInstance)})}disposeRegisteredKernels(e){xh(e).forEach(t=>{t.disposeFunc!=null&&t.disposeFunc(this.registry[e])})}initializeBackend(e){let t=this.registryFactory[e];if(t==null)throw new Error(`Cannot initialize backend ${e}, no registration found.`);try{let n=t.factory();if(n&&!(n instanceof rc)&&typeof n.then=="function"){let a=++this.pendingBackendInitId,r=n.then(s=>a(athis.registryFactory[t].priority-this.registryFactory[e].priority)}initializeBackendsAndReturnBest(){let e=this.getSortedBackends();for(let t=0;tthis.startScope(n),()=>this.endScope(a),()=>(a=t(),a instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),a))}scopedRun(e,t,n){e();try{let a=n();return t(),a}catch(a){throw t(),a}}nextTensorId(){return Hp.nextTensorId++}nextVariableId(){return Hp.nextVariableId++}clone(e){let t=O.runKernel(Di,{x:e}),n={x:e},a=s=>({x:()=>{let i="float32",o={x:s},l={dtype:i};return O.runKernel(yi,o,l)}}),r=[];return this.addTapeNode(this.state.activeScope.name,n,[t],a,r,{}),t}runKernel(e,t,n){if(this.backendName==null&&this.backend,yh(e,this.backendName)==null)throw new Error(`Kernel '${e}' not registered for backend '${this.backendName}'`);return this.runKernelFunc({kernelName:e,inputs:t,attrs:n})}shouldCheckForMemLeaks(){return this.ENV.getBool("IS_TEST")}checkKernelForMemLeak(e,t,n){let a=this.backend.numDataIds(),r=0;n.forEach(o=>{r+=o.dtype==="complex64"?3:1});let s=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],i=a-t-r-s;if(i>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${i} data ids) after running '${e}'`)}runKernelFunc(e){let t,n=[],a=this.isTapeOn(),r=this.state.numBytes,s=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);let i;this.backendName==null&&this.backend;let o,l=iy(e)?e.kernelName:this.state.activeScope!=null?this.state.activeScope.name:"";if(iy(e)){let{kernelName:h,inputs:m,attrs:f}=e;this.backendName==null&&this.backend;let g=yh(h,this.backendName);$(g!=null,()=>`Cannot find registered kernel '${h}' for backend '${this.backendName}'`),i=()=>{let b=this.backend.numDataIds();o=g.kernelFunc({inputs:m,attrs:f,backend:this.backend});let y=Array.isArray(o)?o:[o];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(h,b,y);let x=y.map(w=>w.rank!=null?w:this.makeTensorFromTensorInfo(w));if(a){let w=this.getTensorsForGradient(h,m,x);n=this.saveTensorsForBackwardMode(w)}return x}}else{let{forwardFunc:h}=e,m=f=>{!a||(n=f.map(g=>this.keep(this.clone(g))))};i=()=>{let f=this.backend.numDataIds();o=this.tidy(()=>h(this.backend,m));let g=Array.isArray(o)?o:[o];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(l,f,g),g}}let{inputs:u,attrs:p}=e,d=iy(e)?null:e.backwardsFunc,c;return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{!this.ENV.getBool("DEBUG")&&!this.state.profiling?t=i():(c=this.profiler.profileKernel(l,u,()=>i()),this.ENV.getBool("DEBUG")&&this.profiler.logKernelProfile(c),t=c.outputs)}),a&&this.addTapeNode(l,u,t,d,n,p),this.state.profiling&&this.state.activeProfile.kernels.push({name:l,bytesAdded:this.state.numBytes-r,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-s,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(u).map(h=>u[h]!=null?u[h].shape:null),outputShapes:t.map(h=>h.shape),kernelTimeMs:c.timeMs,extraInfo:c.extraInfo}),Array.isArray(o)?t:t[0]}saveTensorsForBackwardMode(e){return e.map(t=>this.keep(this.clone(t)))}getTensorsForGradient(e,t,n){let a=xy(e);if(a!=null){let r=a.inputsToSave||[],s=a.outputsToSave||[],i;a.saveAllInputs?($(Array.isArray(t),()=>"saveAllInputs is true, expected inputs to be an array."),i=Object.keys(t).map(l=>t[l])):i=r.map(l=>t[l]);let o=n.filter((l,u)=>s[u]);return i.concat(o)}return[]}makeTensor(e,t,n,a){if(e==null)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",a=a||this.backend;let r=e;n==="string"&&Kr(e[0])&&(r=e.map(o=>Sc(o)));let s=a.write(r,t,n),i=new Te(t,n,s,this.nextTensorId());if(this.trackTensor(i,a),n==="string"){let o=this.state.tensorInfo.get(s),l=CI(r);this.state.numBytes+=l-o.bytes,o.bytes=l}return i}makeTensorFromDataId(e,t,n,a){n=n||"float32";let r={dataId:e,shape:t,dtype:n};return this.makeTensorFromTensorInfo(r,a)}makeTensorFromTensorInfo(e,t){let{dataId:n,shape:a,dtype:r}=e,s=new Te(a,r,n,this.nextTensorId());return this.trackTensor(s,t),s}makeVariable(e,t=!0,n,a){n=n||this.nextVariableId().toString(),a!=null&&a!==e.dtype&&(e=e.cast(a));let r=new ts(e,t,n,this.nextTensorId());if(this.state.registeredVariables[r.name]!=null)throw new Error(`Variable with name ${r.name} was already registered`);return this.state.registeredVariables[r.name]=r,this.incRef(r,this.backend),r}trackTensor(e,t){this.state.numTensors++,e.dtype==="string"&&this.state.numStringTensors++;let n=0;e.dtype!=="complex64"&&e.dtype!=="string"&&(n=e.size*yy(e.dtype)),this.state.numBytes+=n,this.state.tensorInfo.has(e.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:n})),e instanceof ts||this.track(e)}incRef(e,t){this.trackTensor(e,t),this.backend.incRef(e.dataId)}removeDataId(e,t){this.state.tensorInfo.has(e)&&this.state.tensorInfo.get(e).backend===t&&(this.state.tensorInfo.delete(e),this.state.numDataBuffers--)}disposeTensor(e){if(!this.state.tensorInfo.has(e.dataId))return;let t=this.state.tensorInfo.get(e.dataId);if(this.state.numTensors--,e.dtype==="string"&&(this.state.numStringTensors--,this.state.numBytes-=t.bytes),e.dtype!=="complex64"&&e.dtype!=="string"){let n=e.size*yy(e.dtype);this.state.numBytes-=n}t.backend.disposeData(e.dataId)&&this.removeDataId(e.dataId,t.backend)}disposeVariables(){for(let e in this.state.registeredVariables){let t=this.state.registeredVariables[e];this.disposeVariable(t)}}disposeVariable(e){this.disposeTensor(e),this.state.registeredVariables[e.name]!=null&&delete this.state.registeredVariables[e.name]}memory(){let e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,e.reasons==null&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e}async profile(e){this.state.profiling=!0;let t=this.state.numBytes,n=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await e(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map(a=>a.totalBytesSnapshot)),this.state.activeProfile.newBytes=this.state.numBytes-t,this.state.activeProfile.newTensors=this.state.numTensors-n;for(let a of this.state.activeProfile.kernels)a.kernelTimeMs=await a.kernelTimeMs,a.extraInfo=await a.extraInfo;return this.state.activeProfile}isTapeOn(){return this.state.gradientDepth>0&&this.state.kernelDepth===0}addTapeNode(e,t,n,a,r,s){let i={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:n,saved:r},o=xy(e);o!=null&&(a=o.gradFunc),a!=null&&(i.gradient=l=>(l=l.map((u,p)=>{if(u==null){let d=n[p],c=Kh(d.size,d.dtype);return this.makeTensor(c,d.shape,d.dtype)}return u}),a(l.length>1?l:l[0],r,s))),this.state.activeTape.push(i)}keep(e){return e.kept=!0,e}startTape(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++}endTape(){this.state.gradientDepth--}startScope(e){let t={track:[],name:"unnamed scope",id:this.state.nextScopeId++};e&&(t.name=e),this.state.scopeStack.push(t),this.state.activeScope=t}endScope(e){let t=Nx(e),n=new Set(t.map(r=>r.id));for(let r=0;r{!r.kept&&r.scopeId===a.id&&this.track(r)})}gradients(e,t,n,a=!1){if($(t.length>0,()=>"gradients() received an empty list of xs."),n!=null&&n.dtype!=="float32")throw new Error(`dy must have 'float32' dtype, but has '${n.dtype}'`);let r=this.scopedRun(()=>this.startTape(),()=>this.endTape(),()=>this.tidy("forward",e));$(r instanceof Te,()=>"The result y returned by f() must be a tensor.");let s=pD(this.state.activeTape,t,r);if(!a&&s.length===0&&t.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",()=>{let i={};i[r.id]=n==null?wD(r.shape):n,cD(i,s,l=>this.tidy(l),kD);let o=t.map(l=>i[l.id]);return this.state.gradientDepth===0&&(this.state.activeTape.forEach(l=>{for(let u of l.saved)u.dispose()}),this.state.activeTape=null),{value:r,grads:o}})}customGrad(e){return $(es(e),()=>"The f passed in customGrad(f) must be a function."),(...t)=>{$(t.every(i=>i instanceof Te),()=>"The args passed in customGrad(f)(x1, x2,...) must all be tensors");let n,a={};t.forEach((i,o)=>{a[o]=i});let r=(i,o)=>(n=e(...t,o),$(n.value instanceof Te,()=>"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"),$(es(n.gradFunc),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."),n.value),s=(i,o)=>{let l=n.gradFunc(i,o),u=Array.isArray(l)?l:[l];$(u.length===t.length,()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."),$(u.every(d=>d instanceof Te),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.");let p={};return u.forEach((d,c)=>{p[c]=()=>d}),p};return this.runKernelFunc({forwardFunc:r,backwardsFunc:s,inputs:a})}}readSync(e){return this.state.tensorInfo.get(e).backend.readSync(e)}read(e){return this.state.tensorInfo.get(e).backend.read(e)}readToGPU(e,t){return this.state.tensorInfo.get(e).backend.readToGPU(e,t)}async time(e){let t=Gp(),n=await this.backend.time(e);return n.wallMs=Gp()-t,n}track(e){return this.state.activeScope!=null&&(e.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(e)),e}get registeredVariables(){return this.state.registeredVariables}reset(){this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new G1;for(let e in this.registry)this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null}};Hp.nextTensorId=0;Hp.nextVariableId=0;function wD(e){let t=vx(mt(e),"float32");return O.makeTensor(t,e,"float32")}function VI(){let e=FI();if(e._tfengine==null){let t=new $I(e);e._tfengine=new Hp(t)}return GF(e._tfengine.ENV),fD(()=>e._tfengine),e._tfengine}var O=VI();function kD(e,t){let n={a:e,b:t};return O.runKernel(cs,n)}var Tc={};Ae(Tc,{isBrowser:()=>UI,isMobile:()=>TD,mockIsMobile:()=>SD});function ID(){return typeof navigator!="undefined"&&navigator!=null}var Ny;function SD(e){Ny=e}function TD(e){if(Ny!==void 0)return Ny;if(e||ID()){if(e||(e=navigator),e.product==="ReactNative")return!0;let t=e.userAgent||e.vendor||(typeof window!="undefined"?window.opera:"");if(!t){let n=e;return n.userAgentData&&n.userAgentData.mobile}return/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i.test(t)||/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i.test(t.substr(0,4))}return!1}function UI(){return typeof window!="undefined"&&window.document!=null||typeof WorkerGlobalScope!="undefined"}var Jn=H();Jn.registerFlag("DEBUG",()=>!1,e=>{e&&console.warn("Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.")});Jn.registerFlag("IS_BROWSER",()=>UI());Jn.registerFlag("IS_NODE",()=>typeof process!="undefined"&&typeof process.versions!="undefined"&&typeof process.versions.node!="undefined");Jn.registerFlag("IS_CHROME",()=>typeof navigator!="undefined"&&navigator!=null&&navigator.userAgent!=null&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor));Jn.registerFlag("PROD",()=>!1);Jn.registerFlag("TENSORLIKE_CHECK_SHAPE_CONSISTENCY",()=>Jn.getBool("DEBUG"));Jn.registerFlag("DEPRECATION_WARNINGS_ENABLED",()=>!0);Jn.registerFlag("IS_TEST",()=>!1);Jn.registerFlag("CHECK_COMPUTATION_FOR_ERRORS",()=>!0);Jn.registerFlag("WRAP_TO_IMAGEBITMAP",()=>!1);Jn.registerFlag("ENGINE_COMPILE_ONLY",()=>!1);Jn.registerFlag("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU",()=>!1);Jn.registerFlag("USE_SETTIMEOUTCUSTOM",()=>!1);function ir(e,t){let n=e;if(hn(e))return t==="string"?[]:[e.length];if(typeof e=="object"&&"texture"in e){let r=e.channels||"RGBA";return[e.height,e.width*r.length]}if(!Array.isArray(e))return[];let a=[];for(;Array.isArray(n)||hn(n)&&t!=="string";)a.push(n.length),n=n[0];return Array.isArray(e)&&H().getBool("TENSORLIKE_CHECK_SHAPE_CONSISTENCY")&&GI(e,a,[]),a}function GI(e,t,n){if(n=n||[],!Array.isArray(e)&&!hn(e)){$(t.length===0,()=>`Element arr[${n.join("][")}] is a primitive, but should be an array/TypedArray of ${t[0]} elements`);return}$(t.length>0,()=>`Element arr[${n.join("][")}] should be a primitive, but is an array of ${e.length} elements`),$(e.length===t[0],()=>`Element arr[${n.join("][")}] should have ${t[0]} elements, but has ${e.length} elements`);let a=t.slice(1);for(let r=0;r=0&&(r=a),H1(a,r,t,n),e==null||!hn(e)&&!Array.isArray(e)&&typeof e!="number"&&typeof e!="boolean"&&typeof e!="string"){let o=e==null?"null":e.constructor.name;throw new Error(`Argument '${t}' passed to '${n}' must be a Tensor or TensorLike, but got '${o}'`)}let s=ir(e,r);!hn(e)&&!Array.isArray(e)&&(e=[e]);let i=r!=="string"?Cm(e,r):Zs(e,[],!0);return O.makeTensor(i,s,r)}function jp(e,t,n,a="numeric"){if(!Array.isArray(e))throw new Error(`Argument ${t} passed to ${n} must be a \`Tensor[]\` or \`TensorLike[]\``);return e.map((r,s)=>_(r,`${t}[${s}]`,n,a))}var Cx="__op";function L(e){let t=Object.keys(e);if(t.length!==1)throw new Error(`Please provide an object with a single key (operation name) mapping to a function. Got an object with ${t.length} keys.`);let n=t[0],a=e[n];n.endsWith("_")&&(n=n.substring(0,n.length-1)),n=n+Cx;let r=(...s)=>{O.startScope(n);try{let i=a(...s);return kx(i)&&console.error("Cannot return a Promise inside of tidy."),O.endScope(i),i}catch(i){throw O.endScope(null),i}};return Object.defineProperty(r,"name",{value:n,configurable:!0}),r}function ND(e,t){let n=_(e,"real","complex"),a=_(t,"imag","complex");Sn(n.shape,a.shape,`real and imag shapes, ${n.shape} and ${a.shape}, must match in call to tf.complex().`);let r={real:n,imag:a};return O.runKernel(Qh,r)}var Cr=L({complex_:ND});function fs(e,t,n,a){if(a==null&&(a=qh(e)),a==="complex64")throw new Error("Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).");if(typeof e=="object"&&"texture"in e){if(a!=="float32"&&a!=="int32")throw new Error(`Creating tensor from texture only supports 'float32'|'int32' dtype, while the dtype is ${a}.`);return e.channels=e.channels||"RGBA",O.backend.createTensorFromTexture(e,t||n,a)}if(!hn(e)&&!Array.isArray(e)&&typeof e!="number"&&typeof e!="boolean"&&typeof e!="string")throw new Error("values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray");if(t!=null){wx(t);let r=mt(t),s=mt(n);$(r===s,()=>`Based on the provided shape, [${t}], the tensor should have ${r} values but has ${s}`);for(let i=0;i`Error creating a new Tensor. Inferred shape (${n}) does not match the provided shape (${t}). `)}}return!hn(e)&&!Array.isArray(e)&&(e=[e]),t=t||n,e=a!=="string"?Cm(e,a):Zs(e,[],!0),O.makeTensor(e,t,a)}function kn(e,t,n){let a=ir(e,n);return fs(e,t,a,n)}var Cy={float32:4,float16:2,int32:4,uint16:2,uint8:1,bool:1,complex64:8},wh=4;async function CD(e,t){let n=[],a=[],r=Array.isArray(e)?e.map(i=>i.name):Object.keys(e);for(let i=0;i{let c=await l.bytes(),h=c.reduce((g,b)=>g+b.length,0)+wh*c.length,m=new Uint8Array(h),f=0;for(let g=0;g{if(t+=s.byteLength,n.push(s.byteLength===s.buffer.byteLength?s:new s.constructor(s)),!(s instanceof Float32Array||s instanceof Int32Array||s instanceof Uint8Array))throw new Error(`Unsupported TypedArray subtype: ${s.constructor.name}`)});let a=new Uint8Array(t),r=0;return n.forEach(s=>{a.set(new Uint8Array(s.buffer),r),r+=s.byteLength}),a.buffer}var _x=typeof Buffer!="undefined"&&(typeof Blob=="undefined"||typeof atob=="undefined"||typeof btoa=="undefined");function j1(e){return _x?Buffer.byteLength(e):new Blob([e]).size}function ED(e){if(_x)return Buffer.from(e).toString("base64");let t=new Uint8Array(e),n="";for(let a=0,r=t.length;a{t+=r.byteLength});let n=new Uint8Array(t),a=0;return e.forEach(r=>{n.set(new Uint8Array(r),a),a+=r.byteLength}),n.buffer}function q1(e){let t="/";for(e=e.trim();e.endsWith(t);)e=e.slice(0,e.length-1);let n=e.split(t);return n[n.length-1]}function jI(e,t){let n={modelTopology:e.modelTopology,format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,weightsManifest:t};return e.signature!=null&&(n.signature=e.signature),e.userDefinedMetadata!=null&&(n.userDefinedMetadata=e.userDefinedMetadata),e.modelInitializer!=null&&(n.modelInitializer=e.modelInitializer),e.initializerSignature!=null&&(n.initializerSignature=e.initializerSignature),e.trainingConfig!=null&&(n.trainingConfig=e.trainingConfig),n}function qI(e,t,n){let a={modelTopology:e.modelTopology,format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy};if(e.trainingConfig!=null&&(a.trainingConfig=e.trainingConfig),e.weightsManifest!=null){if(!t)throw new Error("modelJSON has weightsManifest but weightSpecs is null");if(!n)throw new Error("modelJSON has weightsManifest but weightData is null");a.weightSpecs=t,a.weightData=n}return e.signature!=null&&(a.signature=e.signature),e.userDefinedMetadata!=null&&(a.userDefinedMetadata=e.userDefinedMetadata),e.modelInitializer!=null&&(a.modelInitializer=e.modelInitializer),e.initializerSignature!=null&&(a.initializerSignature=e.initializerSignature),a}async function Ax(e,t){let n,a;return e.weightsManifest!=null&&([n,a]=await t(e.weightsManifest)),qI(e,n,a)}function Nc(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("Expected JSON model topology, received ArrayBuffer.");return{dateSaved:new Date,modelTopologyType:"JSON",modelTopologyBytes:e.modelTopology==null?0:j1(JSON.stringify(e.modelTopology)),weightSpecsBytes:e.weightSpecs==null?0:j1(JSON.stringify(e.weightSpecs)),weightDataBytes:e.weightData==null?0:e.weightData.byteLength}}function KI(e){let t=[];for(let n of e)t.push(...n.weights);return t}function $D(){let e=n=>{let a=n<<13,r=0;for(;(a&8388608)===0;)r-=8388608,a<<=1;return a&=-8388609,r+=947912704,a|r},t=new Uint32Array(2048);t[0]=0;for(let n=1;n<1024;n++)t[n]=e(n);for(let n=1024;n<2048;n++)t[n]=939524096+(n-1024<<13);return t}function FD(){let e=new Uint32Array(64);e[0]=0,e[31]=1199570944,e[32]=2147483648,e[63]=3347054592;for(let t=1;t<31;t++)e[t]=t<<23;for(let t=33;t<63;t++)e[t]=2147483648+(t-32<<23);return e}function DD(){let e=new Uint32Array(64);for(let t=0;t<64;t++)e[t]=1024;return e[0]=e[32]=0,e}function RD(){let e=$D(),t=FD(),n=DD();return a=>{let r=new ArrayBuffer(4*a.length),s=new Uint32Array(r);for(let i=0;i>10]+(o&1023)]+t[o>>10];s[i]=l}return new Float32Array(r)}}var At=class{constructor(){this.saveRouters=[],this.loadRouters=[]}static getInstance(){return At.instance==null&&(At.instance=new At),At.instance}static registerSaveRouter(e){At.getInstance().saveRouters.push(e)}static registerLoadRouter(e){At.getInstance().loadRouters.push(e)}static getSaveHandlers(e){return At.getHandlers(e,"save")}static getLoadHandlers(e,t){return At.getHandlers(e,"load",t)}static getHandlers(e,t,n){let a=[];return(t==="load"?At.getInstance().loadRouters:At.getInstance().saveRouters).forEach(r=>{let s=r(e,n);s!==null&&a.push(s)}),a}},MD=e=>At.registerSaveRouter(e),PD=e=>At.registerLoadRouter(e),OD=e=>At.getSaveHandlers(e),LD=(e,t)=>At.getLoadHandlers(e,t),_y="tensorflowjs",Ey=1,Gs="models_store",Xr="model_info_store";function XI(){if(!H().getBool("IS_BROWSER"))throw new Error("Failed to obtain IndexedDB factory because the current environmentis not a web browser.");let e=typeof window=="undefined"?self:window,t=e.indexedDB||e.mozIndexedDB||e.webkitIndexedDB||e.msIndexedDB||e.shimIndexedDB;if(t==null)throw new Error("The current browser does not appear to support IndexedDB.");return t}function Ay(e){let t=e.result;t.createObjectStore(Gs,{keyPath:"modelPath"}),t.createObjectStore(Xr,{keyPath:"modelPath"})}var ti=class{constructor(e){if(this.indexedDB=XI(),e==null||!e)throw new Error("For IndexedDB, modelPath must not be null, undefined or empty.");this.modelPath=e}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");return this.databaseAction(this.modelPath,e)}async load(){return this.databaseAction(this.modelPath)}databaseAction(e,t){return new Promise((n,a)=>{let r=this.indexedDB.open(_y,Ey);r.onupgradeneeded=()=>Ay(r),r.onsuccess=()=>{let s=r.result;if(t==null){let i=s.transaction(Gs,"readonly"),o=i.objectStore(Gs).get(this.modelPath);o.onsuccess=()=>{if(o.result==null)return s.close(),a(new Error(`Cannot find model with path '${this.modelPath}' in IndexedDB.`));n(o.result.modelArtifacts)},o.onerror=l=>(s.close(),a(o.error)),i.oncomplete=()=>s.close()}else{let i=Nc(t),o=s.transaction(Xr,"readwrite"),l=o.objectStore(Xr),u=l.put({modelPath:this.modelPath,modelArtifactsInfo:i}),p;u.onsuccess=()=>{p=s.transaction(Gs,"readwrite");let d=p.objectStore(Gs).put({modelPath:this.modelPath,modelArtifacts:t,modelArtifactsInfo:i});d.onsuccess=()=>n({modelArtifactsInfo:i}),d.onerror=c=>{l=o.objectStore(Xr);let h=l.delete(this.modelPath);h.onsuccess=()=>(s.close(),a(d.error)),h.onerror=m=>(s.close(),a(d.error))}},u.onerror=d=>(s.close(),a(u.error)),o.oncomplete=()=>{p==null?s.close():p.oncomplete=()=>s.close()}}},r.onerror=s=>a(r.error)})}};ti.URL_SCHEME="indexeddb://";var YI=e=>H().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(ti.URL_SCHEME)?zD(e.slice(ti.URL_SCHEME.length)):null;At.registerSaveRouter(YI);At.registerLoadRouter(YI);function zD(e){return new ti(e)}function WD(e){return e.startsWith(ti.URL_SCHEME)?e.slice(ti.URL_SCHEME.length):e}var BD=class{constructor(){this.indexedDB=XI()}async listModels(){return new Promise((e,t)=>{let n=this.indexedDB.open(_y,Ey);n.onupgradeneeded=()=>Ay(n),n.onsuccess=()=>{let a=n.result,r=a.transaction(Xr,"readonly"),s=r.objectStore(Xr).getAll();s.onsuccess=()=>{let i={};for(let o of s.result)i[o.modelPath]=o.modelArtifactsInfo;e(i)},s.onerror=i=>(a.close(),t(s.error)),r.oncomplete=()=>a.close()},n.onerror=a=>t(n.error)})}async removeModel(e){return e=WD(e),new Promise((t,n)=>{let a=this.indexedDB.open(_y,Ey);a.onupgradeneeded=()=>Ay(a),a.onsuccess=()=>{let r=a.result,s=r.transaction(Xr,"readwrite"),i=s.objectStore(Xr),o=i.get(e),l;o.onsuccess=()=>{if(o.result==null)return r.close(),n(new Error(`Cannot find model with path '${e}' in IndexedDB.`));{let u=i.delete(e),p=()=>{l=r.transaction(Gs,"readwrite");let d=l.objectStore(Gs).delete(e);d.onsuccess=()=>t(o.result.modelArtifactsInfo),d.onerror=c=>n(o.error)};u.onsuccess=p,u.onerror=d=>(p(),r.close(),n(o.error))}},o.onerror=u=>(r.close(),n(o.error)),s.oncomplete=()=>{l==null?r.close():l.oncomplete=()=>r.close()}},a.onerror=r=>n(a.error)})}},Ir="/",Xo="tensorflowjs_models",ZI="info",VD="model_topology",UD="weight_specs",GD="weight_data",HD="model_metadata";function JI(e){return{info:[Xo,e,ZI].join(Ir),topology:[Xo,e,VD].join(Ir),weightSpecs:[Xo,e,UD].join(Ir),weightData:[Xo,e,GD].join(Ir),modelMetadata:[Xo,e,HD].join(Ir)}}function QI(e){for(let t of Object.values(e))window.localStorage.removeItem(t)}function jD(e){let t=e.split(Ir);if(t.length<3)throw new Error(`Invalid key format: ${e}`);return t.slice(1,t.length-1).join(Ir)}function qD(e){return e.startsWith(ni.URL_SCHEME)?e.slice(ni.URL_SCHEME.length):e}var ni=class{constructor(e){if(!H().getBool("IS_BROWSER")||typeof window=="undefined"||typeof window.localStorage=="undefined")throw new Error("The current environment does not support local storage.");if(this.LS=window.localStorage,e==null||!e)throw new Error("For local storage, modelPath must not be null, undefined or empty.");this.modelPath=e,this.keys=JI(this.modelPath)}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");{let t=JSON.stringify(e.modelTopology),n=JSON.stringify(e.weightSpecs),a=Nc(e);try{this.LS.setItem(this.keys.info,JSON.stringify(a)),this.LS.setItem(this.keys.topology,t),this.LS.setItem(this.keys.weightSpecs,n),this.LS.setItem(this.keys.weightData,ED(e.weightData));let r={format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,signature:e.signature!=null?e.signature:void 0,userDefinedMetadata:e.userDefinedMetadata!=null?e.userDefinedMetadata:void 0,modelInitializer:e.modelInitializer!=null?e.modelInitializer:void 0,initializerSignature:e.initializerSignature!=null?e.initializerSignature:void 0,trainingConfig:e.trainingConfig!=null?e.trainingConfig:void 0};return this.LS.setItem(this.keys.modelMetadata,JSON.stringify(r)),{modelArtifactsInfo:a}}catch(r){throw QI(this.keys),new Error(`Failed to save model '${this.modelPath}' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=${a.modelTopologyBytes}, weightSpecsBytes=${a.weightSpecsBytes}, weightDataBytes=${a.weightDataBytes}.`)}}}async load(){let e=JSON.parse(this.LS.getItem(this.keys.info));if(e==null)throw new Error(`In local storage, there is no model with name '${this.modelPath}'`);if(e.modelTopologyType!=="JSON")throw new Error("BrowserLocalStorage does not support loading non-JSON model topology yet.");let t={},n=JSON.parse(this.LS.getItem(this.keys.topology));if(n==null)throw new Error(`In local storage, the topology of model '${this.modelPath}' is missing.`);t.modelTopology=n;let a=JSON.parse(this.LS.getItem(this.keys.weightSpecs));if(a==null)throw new Error(`In local storage, the weight specs of model '${this.modelPath}' are missing.`);t.weightSpecs=a;let r=this.LS.getItem(this.keys.modelMetadata);if(r!=null){let i=JSON.parse(r);t.format=i.format,t.generatedBy=i.generatedBy,t.convertedBy=i.convertedBy,i.signature!=null&&(t.signature=i.signature),i.userDefinedMetadata!=null&&(t.userDefinedMetadata=i.userDefinedMetadata),i.modelInitializer!=null&&(t.modelInitializer=i.modelInitializer),i.initializerSignature!=null&&(t.initializerSignature=i.initializerSignature),i.trainingConfig!=null&&(t.trainingConfig=i.trainingConfig)}let s=this.LS.getItem(this.keys.weightData);if(s==null)throw new Error(`In local storage, the binary weight values of model '${this.modelPath}' are missing.`);return t.weightData=AD(s),t}};ni.URL_SCHEME="localstorage://";var eS=e=>H().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(ni.URL_SCHEME)?KD(e.slice(ni.URL_SCHEME.length)):null;At.registerSaveRouter(eS);At.registerLoadRouter(eS);function KD(e){return new ni(e)}var XD=class{constructor(){$(H().getBool("IS_BROWSER"),()=>"Current environment is not a web browser"),$(typeof window=="undefined"||typeof window.localStorage!="undefined",()=>"Current browser does not appear to support localStorage"),this.LS=window.localStorage}async listModels(){let e={},t=Xo+Ir,n=Ir+ZI;for(let a=0;a"scheme must not be undefined or null."),e.endsWith(Jo)&&(e=e.slice(0,e.indexOf(Jo))),$(e.length>0,()=>"scheme must not be an empty string.");let n=Pn.getInstance();$(n.managers[e]==null,()=>`A model store manager is already registered for scheme '${e}'.`),n.managers[e]=t}static getManager(e){let t=Pn.getInstance().managers[e];if(t==null)throw new Error(`Cannot find model manager for scheme '${e}'`);return t}static getSchemes(){return Object.keys(Pn.getInstance().managers)}};function rh(e){if(e.indexOf(Jo)===-1)throw new Error(`The url string provided does not contain a scheme. Supported schemes are: ${Pn.getSchemes().join(",")}`);return{scheme:e.split(Jo)[0],path:e.split(Jo)[1]}}async function tS(e,t,n=!1){$(e!==t,()=>`Old path and new path are the same: '${e}'`);let a=At.getLoadHandlers(e);$(a.length>0,()=>`Copying failed because no load handler is found for source URL ${e}.`),$(a.length<2,()=>`Copying failed because more than one (${a.length}) load handlers for source URL ${e}.`);let r=a[0],s=At.getSaveHandlers(t);$(s.length>0,()=>`Copying failed because no save handler is found for destination URL ${t}.`),$(s.length<2,()=>`Copying failed because more than one (${a.length}) save handlers for destination URL ${t}.`);let i=s[0],o=rh(e).scheme,l=rh(e).path,u=o===rh(e).scheme,p=await r.load();n&&u&&await Pn.getManager(o).removeModel(l);let d=await i.save(p);return n&&!u&&await Pn.getManager(o).removeModel(l),d.modelArtifactsInfo}async function YD(){let e=Pn.getSchemes(),t={};for(let n of e){let a=await Pn.getManager(n).listModels();for(let r in a){let s=n+Jo+r;t[s]=a[r]}}return t}async function ZD(e){let t=rh(e);return Pn.getManager(t.scheme).removeModel(t.path)}async function JD(e,t){return tS(e,t,!1)}async function QD(e,t){return tS(e,t,!0)}var eR=class{constructor(){this.messageName="setTimeoutCustom",this.functionRefs=[],this.handledMessageCount=0,this.hasEventListener=!1}fetch(e,t){return fetch(e,t)}now(){return performance.now()}encode(e,t){if(t!=="utf-8"&&t!=="utf8")throw new Error(`Browser's encoder only supports utf-8, but got ${t}`);return this.textEncoder==null&&(this.textEncoder=new TextEncoder),this.textEncoder.encode(e)}decode(e,t){return new TextDecoder(t).decode(e)}setTimeoutCustom(e,t){if(typeof window=="undefined"||!H().getBool("USE_SETTIMEOUTCUSTOM")){setTimeout(e,t);return}this.functionRefs.push(e),setTimeout(()=>{window.postMessage({name:this.messageName,index:this.functionRefs.length-1},"*")},t),this.hasEventListener||(this.hasEventListener=!0,window.addEventListener("message",n=>{if(n.source===window&&n.data.name===this.messageName){n.stopPropagation();let a=this.functionRefs[n.data.index];a(),this.handledMessageCount++,this.handledMessageCount===this.functionRefs.length&&(this.functionRefs=[],this.handledMessageCount=0)}},!0))}};if(H().get("IS_BROWSER")){H().setPlatform("browser",new eR);try{Pn.registerManager(ni.URL_SCHEME,new XD)}catch(e){}try{Pn.registerManager(ti.URL_SCHEME,new BD)}catch(e){}}var tR={importFetch:()=>pF()},oy,nR=class{constructor(){this.util=cF(),this.textEncoder=new this.util.TextEncoder}fetch(e,t){return H().global.fetch!=null?H().global.fetch(e,t):(oy==null&&(oy=tR.importFetch()),oy(e,t))}now(){let e=process.hrtime();return e[0]*1e3+e[1]/1e6}encode(e,t){if(t!=="utf-8"&&t!=="utf8")throw new Error(`Node built-in encoder only supports utf-8, but got ${t}`);return this.textEncoder.encode(e)}decode(e,t){return e.length===0?"":new this.util.TextDecoder(t).decode(e)}};H().get("IS_NODE")&&!H().get("IS_BROWSER")&&H().setPlatform("node",new nR);function Pe(e,t="float32",n){return t=t||"float32",wx(e),new Ht(e,t,n)}function aR(e,t){let n=_(e,"x","cast");if(!NI(t))throw new Error(`Failed to cast to unknown dtype ${t}`);if(t==="string"&&n.dtype!=="string"||t!=="string"&&n.dtype==="string")throw new Error("Only strings can be casted to strings");let a={x:n},r={dtype:t};return O.runKernel(yi,a,r)}var oe=L({cast_:aR});function rR(e){let t={x:_(e,"x","clone","string_or_numeric")};return O.runKernel(Di,t)}var rr=L({clone_:rR});function $x(e,t=!1){console.log(e.toString(t))}VI();var sR={buffer:Pe,cast:oe,clone:rr,print:$x};gD(sR);var Ut={};Ae(Ut,{browserFiles:()=>dR,browserHTTPRequest:()=>bR,concatenateArrayBuffers:()=>Ex,copyModel:()=>JD,decodeWeights:()=>HI,encodeWeights:()=>CD,fromMemory:()=>xR,fromMemorySync:()=>iS,getLoadHandlers:()=>LD,getModelArtifactsForJSON:()=>Ax,getModelArtifactsForJSONSync:()=>qI,getModelArtifactsInfoForJSON:()=>Nc,getSaveHandlers:()=>OD,getWeightSpecs:()=>KI,http:()=>Dx,isHTTPScheme:()=>$y,listModels:()=>YD,loadWeights:()=>hR,moveModel:()=>QD,registerLoadRouter:()=>PD,registerSaveRouter:()=>MD,removeModel:()=>ZD,weightsLoaderFactory:()=>aS,withSaveHandler:()=>vR,withSaveHandlerSync:()=>wR});var iR="model",oR=".json",lR=".weights.bin";function K1(e){return new Promise(t=>setTimeout(t)).then(e)}var al=class{constructor(e){if(!H().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a browser.");e.startsWith(al.URL_SCHEME)&&(e=e.slice(al.URL_SCHEME.length)),(e==null||e.length===0)&&(e=iR),this.modelJsonFileName=e+oR,this.weightDataFileName=e+lR}async save(e){if(typeof document=="undefined")throw new Error("Browser downloads are not supported in this environment since `document` is not present");let t=window.URL.createObjectURL(new Blob([e.weightData],{type:"application/octet-stream"}));if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");{let n=[{paths:["./"+this.weightDataFileName],weights:e.weightSpecs}],a=jI(e,n),r=window.URL.createObjectURL(new Blob([JSON.stringify(a)],{type:"application/json"})),s=this.modelJsonAnchor==null?document.createElement("a"):this.modelJsonAnchor;if(s.download=this.modelJsonFileName,s.href=r,await K1(()=>s.dispatchEvent(new MouseEvent("click"))),e.weightData!=null){let i=this.weightDataAnchor==null?document.createElement("a"):this.weightDataAnchor;i.download=this.weightDataFileName,i.href=t,await K1(()=>i.dispatchEvent(new MouseEvent("click")))}return{modelArtifactsInfo:Nc(e)}}}};al.URL_SCHEME="downloads://";var uR=class{constructor(e){if(e==null||e.length<1)throw new Error(`When calling browserFiles, at least 1 file is required, but received ${e}`);this.jsonFile=e[0],this.weightsFiles=e.slice(1)}async load(){return new Promise((e,t)=>{let n=new FileReader;n.onload=a=>{let r=JSON.parse(a.target.result),s=r.modelTopology;if(s==null){t(new Error(`modelTopology field is missing from file ${this.jsonFile.name}`));return}if(r.weightsManifest==null){t(new Error(`weightManifest field is missing from file ${this.jsonFile.name}`));return}if(this.weightsFiles.length===0){e({modelTopology:s});return}let i=Ax(r,o=>this.loadWeights(o));e(i)},n.onerror=a=>t(`Failed to read model topology and weights manifest JSON from file '${this.jsonFile.name}'. BrowserFiles supports loading Keras-style tf.Model artifacts only.`),n.readAsText(this.jsonFile)})}loadWeights(e){let t=[],n=[];for(let s of e)t.push(...s.weights),n.push(...s.paths);let a=this.checkManifestAndWeightFiles(e),r=n.map(s=>this.loadWeightsFile(s,a[s]));return Promise.all(r).then(s=>[t,Ex(s)])}loadWeightsFile(e,t){return new Promise((n,a)=>{let r=new FileReader;r.onload=s=>{let i=s.target.result;n(i)},r.onerror=s=>a(`Failed to weights data from file of path '${e}'.`),r.readAsArrayBuffer(t)})}checkManifestAndWeightFiles(e){let t=[],n=this.weightsFiles.map(r=>q1(r.name)),a={};for(let r of e)r.paths.forEach(s=>{let i=q1(s);if(t.indexOf(i)!==-1)throw new Error(`Duplicate file basename found in weights manifest: '${i}'`);if(t.push(i),n.indexOf(i)===-1)throw new Error(`Weight file with basename '${i}' is not provided.`);a[s]=this.weightsFiles[n.indexOf(i)]});if(t.length!==this.weightsFiles.length)throw new Error(`Mismatch in the number of files in weights manifest (${t.length}) and the number of weight files provided (${this.weightsFiles.length}).`);return a}},pR=e=>H().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(al.URL_SCHEME)?cR(e.slice(al.URL_SCHEME.length)):null;At.registerSaveRouter(pR);function cR(e="model"){return new al(e)}function dR(e){return new uR(e)}function X1(e,t,n,a){i(e),n=n==null?0:n,a=a==null?1:a,o(n,a);let r=0,s=l=>(l.then(u=>{let p=n+ ++r/e.length*(a-n);return t(p),u}),l);function i(l){$(l!=null&&Array.isArray(l)&&l.length>0,()=>"promises must be a none empty array")}function o(l,u){$(l>=0&&l<=1,()=>`Progress fraction must be in range [0, 1], but got startFraction ${l}`),$(u>=0&&u<=1,()=>`Progress fraction must be in range [0, 1], but got endFraction ${u}`),$(u>=l,()=>`startFraction must be no more than endFraction, but got startFraction ${l} and endFraction ${u}`)}return Promise.all(e.map(s))}async function nS(e,t){t==null&&(t={});let n=t.fetchFunc==null?H().platform.fetch:t.fetchFunc,a=e.map(u=>n(u,t.requestInit,{isBinary:!0})),r=0,s=.5,i=(t.onProgress==null?await Promise.all(a):await X1(a,t.onProgress,r,s)).map(u=>u.arrayBuffer()),o=.5,l=1;return t.onProgress==null?await Promise.all(i):await X1(i,t.onProgress,o,l)}async function hR(e,t="",n,a){return aS(r=>nS(r,{requestInit:a}))(e,t,n)}function aS(e){return async(t,n="",a)=>{let r=t.map(()=>!1),s={},i=a!=null?a.map(()=>!1):[],o=[];if(t.forEach((h,m)=>{let f=0;h.weights.forEach(g=>{let b="quantization"in g?g.quantization.dtype:g.dtype,y=Cy[b]*mt(g.shape),x=()=>{r[m]=!0,s[m]==null&&(s[m]=[]),s[m].push({manifestEntry:g,groupOffset:f,sizeBytes:y})};a!=null?a.forEach((w,I)=>{w===g.name&&(x(),i[I]=!0)}):x(),o.push(g.name),f+=y})}),!i.every(h=>h)){let h=a.filter((m,f)=>!i[f]);throw new Error(`Could not find weights in manifest with names: ${h.join(", ")}. +Manifest JSON has weights with names: ${o.join(", ")}.`)}let l=r.reduce((h,m,f)=>(m&&h.push(f),h),[]),u=[];l.forEach(h=>{t[h].paths.forEach(m=>{let f=n+(n.endsWith("/")?"":"/")+m;u.push(f)})});let p=await e(u),d={},c=0;return l.forEach(h=>{let m=t[h].paths.length,f=0;for(let x=0;x{let w=g.slice(x.groupOffset,x.groupOffset+x.sizeBytes),I=HI(w,[x.manifestEntry]);for(let T in I)d[T]=I[T]}),c+=m}),d}}var mR="application/octet-stream",fR="application/json",Fx=class{constructor(e,t){if(this.DEFAULT_METHOD="POST",t==null&&(t={}),this.weightPathPrefix=t.weightPathPrefix,this.onProgress=t.onProgress,this.weightUrlConverter=t.weightUrlConverter,t.fetchFunc!=null?($(typeof t.fetchFunc=="function",()=>"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"),this.fetch=t.fetchFunc):this.fetch=H().platform.fetch,$(e!=null&&e.length>0,()=>"URL path for http must not be null, undefined or empty."),Array.isArray(e)&&$(e.length===2,()=>`URL paths for http must have a length of 2, (actual length is ${e.length}).`),this.path=e,t.requestInit!=null&&t.requestInit.body!=null)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=t.requestInit||{}}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");let t=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);t.body=new FormData;let n=[{paths:["./model.weights.bin"],weights:e.weightSpecs}],a=jI(e,n);t.body.append("model.json",new Blob([JSON.stringify(a)],{type:fR}),"model.json"),e.weightData!=null&&t.body.append("model.weights.bin",new Blob([e.weightData],{type:mR}),"model.weights.bin");let r=await this.fetch(this.path,t);if(r.ok)return{modelArtifactsInfo:Nc(e),responses:[r]};throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${r.status}.`)}async load(){let e=await this.fetch(this.path,this.requestInit);if(!e.ok)throw new Error(`Request to ${this.path} failed with status code ${e.status}. Please verify this URL points to the model JSON of the model to load.`);let t;try{t=await e.json()}catch(r){let s=`Failed to parse model JSON of response from ${this.path}.`;throw this.path.endsWith(".pb")?s+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.":s+=" Please make sure the server is serving valid JSON for this request.",new Error(s)}let n=t.modelTopology,a=t.weightsManifest;if(n==null&&a==null)throw new Error(`The JSON from HTTP path ${this.path} contains neither model topology or manifest for weights.`);return Ax(t,r=>this.loadWeights(r))}async loadWeights(e){let t=Array.isArray(this.path)?this.path[1]:this.path,[n,a]=gR(t),r=this.weightPathPrefix||n,s=KI(e),i=[],o=[];for(let u of e)for(let p of u.paths)this.weightUrlConverter!=null?o.push(this.weightUrlConverter(p)):i.push(r+p+a);this.weightUrlConverter&&i.push(...await Promise.all(o));let l=await nS(i,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress});return[s,Ex(l)]}};Fx.URL_SCHEME_REGEX=/^https?:\/\//;function gR(e){let t=e.lastIndexOf("/"),n=e.lastIndexOf("?"),a=e.substring(0,t),r=n>t?e.substring(n):"";return[a+"/",r]}function $y(e){return e.match(Fx.URL_SCHEME_REGEX)!=null}var rS=(e,t)=>{if(typeof fetch=="undefined"&&(t==null||t.fetchFunc==null))return null;{let n=!0;if(Array.isArray(e)?n=e.every(a=>$y(a)):n=$y(e),n)return Dx(e,t)}return null};At.registerSaveRouter(rS);At.registerLoadRouter(rS);function Dx(e,t){return new Fx(e,t)}function bR(e,t){return Dx(e,t)}var ly=class{constructor(e){this.modelArtifacts=e}load(){return this.modelArtifacts}},sS=class{constructor(e){this.saveHandler=e}save(e){return this.saveHandler(e)}},yR=class{constructor(e){e.load&&(this.load=()=>Promise.resolve(e.load())),e.save&&(this.save=t=>Promise.resolve(e.save(t)))}};function xR(e,t,n,a){let r=arguments;return new yR(iS(...r))}function iS(e,t,n,a){return arguments.length===1?e.modelTopology!=null||e.weightSpecs!=null?new ly(e):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new ly({modelTopology:e})):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new ly({modelTopology:e,weightSpecs:t,weightData:n,trainingConfig:a}))}function vR(e){return new sS(e)}function wR(e){return new sS(e)}var oS={};Ae(oS,{confusionMatrix:()=>VR});function kR(e,t,n=!1,a=!1){let r=_(e,"a","matMul"),s=_(t,"b","matMul");[r,s]=_t(r,s);let i={a:r,b:s},o={transposeA:n,transposeB:a};return O.runKernel(bi,i,o)}var Fe=L({matMul_:kR});function IR(e,t,n=1,a=0,r="int32"){if(t<2)throw new Error(`Error in oneHot: depth must be >=2, but it is ${t}`);let s={indices:_(e,"indices","oneHot","int32")},i={dtype:r,depth:t,onValue:n,offValue:a};return O.runKernel(Gi,s,i)}var rl=L({oneHot_:IR});function SR(){H().set("PROD",!0)}function TR(){H().set("DEBUG",!0)}function NR(){H().set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")}function Rx(e){H().getBool("DEPRECATION_WARNINGS_ENABLED")&&console.warn(e+" You can disable deprecation warnings with tf.disableDeprecationWarnings().")}bD(Rx);function CR(){O.disposeVariables()}function Na(){return O}function kh(){return O.memory()}function _R(e){return O.profile(e)}function P(e,t){return O.tidy(e,t)}function _e(e){Nx(e).forEach(t=>t.dispose())}function Jt(e){return O.keep(e)}function ER(e){return O.time(e)}function AR(e){return O.setBackend(e)}function $R(){return O.ready()}function FR(){return O.backendName}function DR(e){O.removeBackend(e)}function RR(e){return O.findBackend(e)}function MR(e){return O.findBackendFactory(e)}function Em(e,t,n=1){return O.registerBackend(e,t,n)}function lS(){return O.backend}function PR(e,t){H().setPlatform(e,t)}function OR(e){let t={input:_(e,"input","imag")};return O.runKernel(cm,t)}var Cc=L({imag_:OR});function LR(e){let t={x:_(e,"x","neg")};return O.runKernel(eu,t)}var yt=L({neg_:LR});function zR(e){let t={input:_(e,"input","real")};return O.runKernel(wm,t)}var sl=L({real_:zR});function WR(e,t,n){let a=_(e,"x","transpose");if(t==null&&(t=a.shape.map((i,o)=>o).reverse()),$(a.rank===t.length,()=>`Error in transpose: rank of input ${a.rank} must match length of perm ${t}.`),t.forEach(i=>{$(i>=0&&i`All entries in 'perm' must be between 0 and ${a.rank-1} but got ${t}`)}),a.rank<=1)return a.clone();let r={x:a},s={perm:t};return a.dtype==="complex64"?P(()=>{let i=sl(a),o=Cc(a);return i=O.runKernel(Tr,{x:i},s),o=O.runKernel(Tr,{x:o},s),n&&(o=yt(o)),Cr(i,o)}):O.runKernel(Tr,r,s)}var Ee=L({transpose_:WR});function BR(e,t,n){let a=_(e,"labels","confusionMatrix"),r=_(t,"predictions","confusionMatrix");$(n==null||n>0&&Number.isInteger(n),()=>`If provided, numClasses must be a positive integer, but got ${n}`),$(a.rank===1,()=>`Expected the rank of labels to be 1, but got ${a.rank}`),$(r.rank===1,()=>`Expected the rank of predictions to be 1, but got ${r.rank}`),$(a.shape[0]===r.shape[0],()=>`Mismatch in the number of examples: ${a.shape[0]} vs. ${r.shape[0]}. Labels and predictions should have the same number of elements.`),$(n>0&&Number.isInteger(n),()=>`numClasses is required to be a positive integer, but got ${n}`);let s=rl(oe(a,"int32"),n),i=rl(oe(r,"int32"),n),o=Ee(s),l=Fe(o,i);return oe(l,"int32")}var VR=L({confusionMatrix_:BR}),Tu={};Ae(Tu,{assertAndGetBroadcastShape:()=>lt,getBroadcastDims:()=>uS,getReductionAxes:()=>Wt});function uS(e,t){let n=e.length,a=[];for(let r=0;r1&&i===1&&a.unshift(s)}return a}function Wt(e,t){let n=[];for(let a=0;a1)&&n.unshift(s)}return n}function lt(e,t){let n=[],a=Math.max(e.length,t.length);for(let r=0;rXR,fromPixelsAsync:()=>qR,toPixels:()=>KR});function _c(e,t,n){if(hi(e),t!=null&&t.length!==3)throw new Error("tensor3d() requires shape to have three numbers");let a=ir(e,n);if(a.length!==3&&a.length!==1)throw new Error("tensor3d() requires values to be number[][][] or flat/TypedArray");if(a.length===1&&t==null)throw new Error("tensor3d() requires shape to be provided when `values` are a flat array");return fs(e,t,a,n)}var Ps;function pS(e,t=3){if(t>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");if(e==null)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");let n=!1,a=!1,r=!1,s=!1,i=!1,o=!1;if(e.data instanceof Uint8Array)n=!0;else if(typeof ImageData!="undefined"&&e instanceof ImageData)a=!0;else if(typeof HTMLVideoElement!="undefined"&&e instanceof HTMLVideoElement)r=!0;else if(typeof HTMLImageElement!="undefined"&&e instanceof HTMLImageElement)s=!0;else if(e.getContext!=null)i=!0;else if(typeof ImageBitmap!="undefined"&&e instanceof ImageBitmap)o=!0;else throw new Error(`pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was ${e.constructor.name}`);if(yh(bh,O.backendName)!=null){let c={pixels:e},h={numChannels:t};return O.runKernel(bh,c,h)}let[l,u]=r?[e.videoWidth,e.videoHeight]:[e.width,e.height],p;if(i)p=e.getContext("2d").getImageData(0,0,l,u).data;else if(a||n)p=e.data;else if(s||r||o){if(Ps==null)if(typeof document=="undefined")if(typeof OffscreenCanvas!="undefined"&&typeof OffscreenCanvasRenderingContext2D!="undefined")Ps=new OffscreenCanvas(1,1).getContext("2d");else throw new Error("Cannot parse input in current context. Reason: OffscreenCanvas Context2D rendering is not supported.");else Ps=document.createElement("canvas").getContext("2d",{willReadFrequently:!0});Ps.canvas.width=l,Ps.canvas.height=u,Ps.drawImage(e,0,0,l,u),p=Ps.getImageData(0,0,l,u).data}let d;if(t===4)d=new Int32Array(p);else{let c=l*u;d=new Int32Array(c*t);for(let h=0;h4||s===2)throw new Error(`toPixels only supports depth of size 1, 3 or 4 but got ${s}`);if(n.dtype!=="float32"&&n.dtype!=="int32")throw new Error(`Unsupported type for toPixels: ${n.dtype}. Please use float32 or int32 tensors.`);let i=await n.data(),o=n.dtype==="float32"?255:1,l=new Uint8ClampedArray(r*a*4);for(let u=0;u1)throw new Error(`Tensor values for a float32 Tensor must be in the range [0 - 1] but encountered ${h}.`)}else if(n.dtype==="int32"&&(h<0||h>255))throw new Error(`Tensor values for a int32 Tensor must be in the range [0 - 255] but encountered ${h}.`);s===1?(p[0]=h*o,p[1]=h*o,p[2]=h*o):p[c]=h*o}let d=u*4;l[d+0]=Math.round(p[0]),l[d+1]=Math.round(p[1]),l[d+2]=Math.round(p[2]),l[d+3]=Math.round(p[3])}if(t!=null){t.width=r,t.height=a;let u=t.getContext("2d"),p=new ImageData(l,r,a);u.putImageData(p,0,0)}return n!==e&&n.dispose(),l}var XR=L({fromPixels_:pS}),Mx={};Ae(Mx,{prepareAndValidate:()=>cS});function cS(e,t){let n=e.shape.length,a=t.shape.length;if(n<1)throw new Error(`tf.gatherND() expects the input to be rank 1 or higher, but the rank was ${n}.`);if(a<1)throw new Error(`tf.gatherND() expects the indices to be rank 1 or higher, but the rank was ${a}.`);if(t.dtype!=="int32")throw new Error(`tf.gatherND() expects the indices to be int32 type, but the dtype was ${t.dtype}.`);if(t.shape[a-1]>n)throw new Error(`index innermost dimension length must be <= tensor rank; saw: ${t.shape[a-1]} vs. ${n}`);if(mt(e.shape)===0)throw new Error(`Requested more than 0 entries, but input is empty. Input shape: ${e.shape}.`);let r=t.shape,s=r[r.length-1],i=1;for(let d=0;dd/u),1].slice(0,s);return[l,i,u,p]}var Px={};Ae(Px,{calculateShapes:()=>dS,validateInput:()=>Lx,validateUpdateShape:()=>Ox});function Ox(e,t,n){let a=t.rank>1?t.shape[t.rank-1]:1,r=t.rank>1?t.rank-1:1,s=`Must have updates.shape = indices.shape[:batchDim] + shape[sliceDim:], got updates.shape: ${n.shape}, indices.shape: ${t.shape}, shape: ${e}, sliceDim: ${a}, and batchDim: ${r}.`;if(n.rank1?t.shape[a-1]:1,s=n.length,i=1;for(let d=r;dZR,computeFlatOffset:()=>nM,computeOutShape:()=>QR,getNormalizedAxes:()=>eM,isSliceContinous:()=>tM,maskToAxes:()=>JR,parseSliceParams:()=>wS,sliceInfo:()=>aM,startForAxis:()=>xS,startIndicesWithElidedDims:()=>gS,stopForAxis:()=>vS,stopIndicesWithElidedDims:()=>bS,stridesForAxis:()=>yS,stridesWithElidedDims:()=>hS});var Fy=-2,YR=-1;function ZR(e,t,n){let a=e.shape.length;$(a===t.length,()=>`Error in slice${a}D: Length of begin ${t} must match the rank of the array (${a}).`),$(a===n.length,()=>`Error in slice${a}D: Length of size ${n} must match the rank of the array (${a}).`);for(let r=0;r`Error in slice${a}D: begin[${r}] + size[${r}] (${t[r]+n[r]}) would overflow input.shape[${r}] (${e.shape[r]})`)}function JR(e){let t=[],n=0;for(;e>0;)e&1&&t.push(n),e/=2,n++;return t}function QR(e,t,n){let a=[];for(let r=0;r0){let h=t[0],m=n+1;p=gS(i,h,m,a,e),d=bS(o,h,m,r,e),c=hS(s,h,m,e)}else for(let h=0;h-1)s[o]=0;else{let l=mS(t,n,o),u=a[l];e&1<-1)s[o]=Number.MAX_SAFE_INTEGER;else{let l=mS(t,n,o),u=a[l];e&1<0?i=Number.MIN_SAFE_INTEGER:i=Number.MAX_SAFE_INTEGER);let l=a[r];return i<0&&(i+=l),i=Vp(0,i,l-1),i}function vS(e,t,n,a,r,s){let i=t[r],o=n[r]||1;(e&1<0?i=Number.MAX_SAFE_INTEGER:i=Number.MIN_SAFE_INTEGER);let l=a[r];return i<0&&(i+=l),o>0?i=Vp(0,i,l):i=Vp(-1,i,l-1),i}function tM(e,t,n){let a=n.length;for(let r=0;r1){a=r;break}for(let r=a+1;r0||n[r]!==e[r])return!1;return!0}function nM(e,t){let n=e.length>0?e[e.length-1]:1;for(let a=0;a{$(i!==-1,()=>"slice() does not support negative begin indexing.")});let s;return n==null?s=new Array(r).fill(-1):typeof n=="number"?s=[n,...new Array(r-1).fill(-1)]:n.lengthi>=0?i:($(i===-1,()=>`Negative size values should be exactly -1 but got ${i} for the slice() size at index ${o}.`),e.shape[o]-a[o])),[a,s]}function aM(e,t,n,a,r,s,i,o,l){let u;if(a==null?(u=new Array(t.length),u.fill(1)):u=a,i!=null&&(i&i-1)!==0)throw new Error("Multiple ellipses in slice is not allowed.");let p=!1,d={dims:u.length,numAddAxisAfterEllipsis:0,begin:t.slice(),end:n.slice(),strides:u.slice(),beginMask:r,endMask:s,ellipsisMask:i,newAxisMask:o,shrinkAxisMask:l};for(let y=0;y0?0:-1,c.strides[y]>0?w:w-1];if(x&&c.strides[y]<=0)throw Error("only stride 1 allowed on non-range indexing.");f=f&&c.strides[y]===1;let C=!!(c.beginMask&1<=w)throw Error(`slice index ${c.begin[y]} of dimension ${y} out of bounds.`)}else c.begin[y]=Y1(c.begin[y],0,c.strides[y],w,I,T),c.end[y]=Y1(c.end[y],1,c.strides[y],w,I,T);let R=c.strides[y]===1&&c.begin[y]===0&&c.end[y]===w;h=h&&R,m=m&&(y===0&&c.strides[y]===1||R)}else h=h&&c.strides[y]===1&&C,m=m&&(y===0&&c.strides[y]===1||C);let E,A=!1;if(c.beginValid&&c.endValid?(E=c.end[y]-c.begin[y],A=!0):x?(E=1,A=!0):C&&w>=0&&(c.strides[y]<0?E=-w:E=w,A=!0),A){let R;E===0||E<0!=c.strides[y]<0?R=0:R=Math.trunc(E/c.strides[y])+(E%c.strides[y]!==0?1:0),g.push(R)}else g.push(-1)}for(let y=0;y=0?b.push(g[x]):x===Fy&&b.push(1)}return{finalShapeSparse:b.filter((y,x)=>c.finalShapeGatherIndices[x]!==Fy),finalShape:b,isIdentity:h,sliceDim0:m,isSimpleSlice:f,begin:c.begin,end:c.end,strides:c.strides}}function rM(e,t){t.beginMask=0,t.endMask=0,t.shrinkAxisMask=0;let n=0;t.beginValid=e.begin!=null,t.endValid=e.end!=null,t.begin=new Array(t.dims),t.end=new Array(t.dims),t.strides=new Array(t.dims),t.finalShapeGatherIndices=[],t.finalShapeGatherIndicesSparse=[],t.inputShapeGatherIndicesSparse=new Array(t.dims);for(let a=0;a0?s[t]:s[t+1&1];{let i=e<0?a+e:e;return is[1]?s[1]:i}}var ne={};Ae(ne,{Serializable:()=>kS,SerializationMap:()=>Bs,registerClass:()=>gs});var kS=class{getClassName(){return this.constructor.className}static fromConfig(e,t){return new e(t)}},Bs=class{constructor(){this.classNameMap={}}static getMap(){return Bs.instance==null&&(Bs.instance=new Bs),Bs.instance}static register(e){Bs.getMap().classNameMap[e.className]=[e,e.fromConfig]}};function gs(e){$(e.className!=null,()=>"Class being registered does not have the static className property defined."),$(typeof e.className=="string",()=>"className is required to be a string, but got type "+typeof e.className),$(e.className.length>0,()=>"Class being registered has an empty-string as its className, which is disallowed."),Bs.register(e)}var IS={};Ae(IS,{TEST_EPSILON_FLOAT16:()=>SS,createVideoElement:()=>dM,encodeStrings:()=>TS,expectArrayBuffersEqual:()=>cM,expectArraysClose:()=>iM,expectArraysEqual:()=>lM,expectNumbersClose:()=>uM,expectPromiseToFail:()=>oM,expectValuesInRange:()=>pM,play:()=>hM,testEpsilon:()=>zx});var sM=.001,SS=.1;function iM(e,t,n){return n==null&&(n=zx()),Dy(e,t,(a,r)=>Wx(a,r,n))}function zx(){return O.backend.floatPrecision()===32?sM:SS}function Dy(e,t,n){let a=!0;if((hn(e)||hn(t))&&(a=!1),hn(e)&&hn(t)&&(a=!0),a){let i=e.constructor.name,o=t.constructor.name;if(i!==o)throw new Error(`Arrays are of different type. Actual: ${i}. Expected: ${o}`)}if(Array.isArray(e)&&Array.isArray(t)){let i=ir(e),o=ir(t);if(!ps(i,o))throw new Error(`Arrays have different shapes. Actual: [${i}]. Expected: [${o}]`)}let r=hn(e)?e:Zs(e),s=hn(t)?t:Zs(t);if(r.length!==s.length)throw new Error(`Arrays have different lengths actual: ${r.length} vs expected: ${s.length}. Actual: ${r}. Expected: ${s}.`);for(let i=0;it.fail(),()=>t()),typeof expect!="undefined"&&expect().nothing()}function eM(e,t){let n=typeof t=="string"||typeof t=="number"||typeof t=="boolean"?[t]:t;return qr(e)||qr(e[0])||qr(t)||qr(t[0])?$y(e,n,(a,r)=>a==r):$y(e,t,(a,r)=>Lx(a,r,0))}function tM(e,t,n){if(n==null&&(n=Ox()),!Lx(e,t,n))throw new Error(`Numbers differ: actual === ${e}, expected === ${t}`);typeof expect!="undefined"&&expect().nothing()}function Lx(e,t,n){return!isFinite(e)&&!isFinite(t)?!0:!(isNaN(e)||isNaN(t)||Math.abs(e-t)>n)}function nM(e,t,n){for(let a=0;an)throw new Error(`Value out of range:${e[a]} low: ${t}, high: ${n}`)}function aM(e,t){let n=new Float32Array(e),a=new Float32Array(t);if(n.length!==a.length)throw new Error(`Expected ArrayBuffer to be of length ${a.length}, but it was ${n.length}`);for(let r=0;r{t.addEventListener("loadeddata",a=>n(t)),t.load()})}async function sM(e){await e.play(),"requestVideoFrameCallback"in e&&await new Promise(t=>{e.requestVideoFrameCallback(t)})}var iM="3.21.0";function oM(e,t){let n=_(e,"a","add"),a=_(t,"b","add");[n,a]=_t(n,a);let r={a:n,b:a};return O.runKernel(ps,r)}var Y=L({add_:oM});function lM(e,t){let n=_(e,"a","floorDiv"),a=_(t,"b","floorDiv");[n,a]=_t(n,a);let r={a:n,b:a};return O.runKernel(Ai,r)}var _m=L({floorDiv_:lM});function uM(e,t){let n=_(e,"a","div"),a=_(t,"b","div");if([n,a]=_t(n,a),n.dtype==="int32"&&a.dtype==="int32")return _m(n,a);let r={a:n,b:a},s={};return O.runKernel(Ni,r,s)}var he=L({div_:uM});function pM(e,t){let n=_(e,"a","mul"),a=_(t,"b","mul");[n,a]=_t(n,a);let r={a:n,b:a};return O.runKernel(Ui,r)}var z=L({mul_:pM});function cM(e){let t=_(e,"x","abs");if(t.dtype==="complex64"){let n={x:t};return O.runKernel(sc,n)}else{let n={x:t};return O.runKernel(xl,n)}}var Lt=L({abs_:cM});function dM(e){let t={x:_(e,"x","acos")};return O.runKernel(vl,t)}var zx=L({acos_:dM});function hM(e){let t={x:_(e,"x","acosh")};return O.runKernel(wl,t)}var Bx=L({acosh_:hM});function mM(e){$(Array.isArray(e),()=>"The argument passed to tf.addN() must be a list of tensors"),$(e.length>=1,()=>`Must pass at least one tensor to tf.addN(), but got ${e.length}`);let t=e.map((r,s)=>_(r,`tensors${s}`,"addN")),n=t[0];t.forEach(r=>{if(r.dtype!==n.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),t.forEach(r=>{if(!us(r.shape,n.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});let a=t;return O.runKernel(mi,a)}var xS=L({addN_:mM});function fM(e,t=null,n=!1){let a={x:_(e,"x","all","bool")},r={axis:t,keepDims:n};return O.runKernel(kl,a,r)}var Em=L({all_:fM});function gM(e,t=null,n=!1){let a={x:_(e,"x","any","bool")},r={axis:t,keepDims:n};return O.runKernel(Il,a,r)}var Gp=L({any_:gM});function bM(e,t=0){let n={x:_(e,"x","argMax")},a={axis:t};return O.runKernel(fi,n,a)}var ai=L({argMax_:bM});function yM(e,t=0){let n={x:_(e,"x","argMin")},a={axis:t};return O.runKernel(ac,n,a)}var Wx=L({argMin_:yM});function xM(e){let t={x:_(e,"x","asin")};return O.runKernel(Sl,t)}var Vx=L({asin_:xM});function vM(e){let t={x:_(e,"x","asinh")};return O.runKernel(Tl,t)}var Ux=L({asinh_:vM});function wM(e){let t={x:_(e,"x","atan")};return O.runKernel(Nl,t)}var Gx=L({atan_:wM});function kM(e,t){let n=_(e,"a","atan2"),a=_(t,"b","atan2");[n,a]=_t(n,a);let r={a:n,b:a};return O.runKernel(_l,r)}var Hx=L({atan2_:kM});function IM(e){let t={x:_(e,"x","atanh")};return O.runKernel(Cl,t)}var jx=L({atanh_:IM});function SM(e,t,n,a,r="NHWC",s){let i=e[3],o=[...t,i],l=kS(r);return Cc(e,o,n,s,a,null,null,l)}function vS(e,t,n,a,r,s,i="channelsLast"){let[o,l]=Ih(t),u;if(i==="channelsLast")u=[o,l,e[3],e[3]];else if(i==="channelsFirst")u=[o,l,e[1],e[1]];else throw new Error(`Unknown dataFormat ${i}`);return Cc(e,u,n,a,r,s,!1,i)}function TM(e,t,n,a,r,s,i="NDHWC"){let[o,l,u]=Fy(t),p,d;if(i==="NDHWC")d="channelsLast",p=[o,l,u,e[4],e[4]];else if(i==="NCDHW")d="channelsFirst",p=[o,l,u,e[1],e[1]];else throw new Error(`Unknown dataFormat ${i}`);return wS(e,p,n,a,r,!1,d,s)}function Cc(e,t,n,a,r,s,i=!1,o="channelsLast"){let[l,u,p,d]=[-1,-1,-1,-1];if(o==="channelsLast")[l,u,p,d]=e;else if(o==="channelsFirst")[l,d,u,p]=e;else throw new Error(`Unknown dataFormat ${o}`);let[c,h,,m]=t,[f,g]=Ih(n),[b,y]=Ih(a),x=Jo(c,b),w=Jo(h,y),{padInfo:I,outHeight:T,outWidth:C}=_M(r,u,p,f,g,x,w,s,o),E=i?m*d:m,A;return o==="channelsFirst"?A=[l,E,T,C]:o==="channelsLast"&&(A=[l,T,C,E]),{batchSize:l,dataFormat:o,inHeight:u,inWidth:p,inChannels:d,outHeight:T,outWidth:C,outChannels:E,padInfo:I,strideHeight:f,strideWidth:g,filterHeight:c,filterWidth:h,effectiveFilterHeight:x,effectiveFilterWidth:w,dilationHeight:b,dilationWidth:y,inShape:e,outShape:A,filterShape:t}}function wS(e,t,n,a,r,s=!1,i="channelsLast",o){let[l,u,p,d,c]=[-1,-1,-1,-1,-1];if(i==="channelsLast")[l,u,p,d,c]=e;else if(i==="channelsFirst")[l,c,u,p,d]=e;else throw new Error(`Unknown dataFormat ${i}`);let[h,m,f,,g]=t,[b,y,x]=Fy(n),[w,I,T]=Fy(a),C=Jo(h,w),E=Jo(m,I),A=Jo(f,T),{padInfo:R,outDepth:F,outHeight:S,outWidth:M}=EM(r,u,p,d,b,y,x,C,E,A,o),W=s?g*c:g,U;return i==="channelsFirst"?U=[l,W,F,S,M]:i==="channelsLast"&&(U=[l,F,S,M,W]),{batchSize:l,dataFormat:i,inDepth:u,inHeight:p,inWidth:d,inChannels:c,outDepth:F,outHeight:S,outWidth:M,outChannels:W,padInfo:R,strideDepth:b,strideHeight:y,strideWidth:x,filterDepth:h,filterHeight:m,filterWidth:f,effectiveFilterDepth:C,effectiveFilterHeight:E,effectiveFilterWidth:A,dilationDepth:w,dilationHeight:I,dilationWidth:T,inShape:e,outShape:U,filterShape:t}}function NM(e,t,n,a,r){a==null&&(a=qx(e,t,n));let s=e[0],i=e[1],o=qs((s-t+2*a)/n+1,r),l=qs((i-t+2*a)/n+1,r);return[o,l]}function CM(e,t,n,a,r,s){r==null&&(r=qx(e,t,a));let i=e[0],o=e[1],l=e[2],u=qs((i-t+2*r)/a+1,s),p=qs((o-t+2*r)/a+1,s),d=qs((l-t+2*r)/a+1,s);return[u,p,d,n]}function qx(e,t,n,a=1){let r=Jo(t,a);return Math.floor((e[0]*(n-1)-n+r)/2)}function Ih(e){return typeof e=="number"?[e,e,e]:e.length===2?[e[0],e[1],1]:e}function Fy(e){return typeof e=="number"?[e,e,e]:e}function Jo(e,t){return t<=1?e:e+(e-1)*(t-1)}function _M(e,t,n,a,r,s,i,o,l){let u,p,d;if(typeof e=="number"){u={top:e,bottom:e,left:e,right:e,type:e===0?"VALID":"NUMBER"};let c=NM([t,n],s,a,e,o);p=c[0],d=c[1]}else if(e==="same"){p=Math.ceil(t/a),d=Math.ceil(n/r);let c=Math.max(0,(p-1)*a+s-t),h=Math.max(0,(d-1)*r+i-n),m=Math.floor(c/2),f=c-m,g=Math.floor(h/2),b=h-g;u={top:m,bottom:f,left:g,right:b,type:"SAME"}}else if(e==="valid")u={top:0,bottom:0,left:0,right:0,type:"VALID"},p=Math.ceil((t-s+1)/a),d=Math.ceil((n-i+1)/r);else if(typeof e=="object"){let c=l==="channelsLast"?e[1][0]:e[2][0],h=l==="channelsLast"?e[1][1]:e[2][1],m=l==="channelsLast"?e[2][0]:e[3][0],f=l==="channelsLast"?e[2][1]:e[3][1];u={top:c,bottom:h,left:m,right:f,type:c===0&&h===0&&m===0&&f===0?"VALID":"EXPLICIT"},p=qs((t-s+c+h)/a+1,o),d=qs((n-i+m+f)/r+1,o)}else throw Error(`Unknown padding parameter: ${e}`);return{padInfo:u,outHeight:p,outWidth:d}}function EM(e,t,n,a,r,s,i,o,l,u,p){let d,c,h,m;if(typeof e=="number"){d={top:e,bottom:e,left:e,right:e,front:e,back:e,type:e===0?"VALID":"NUMBER"};let f=CM([t,n,a,1],o,1,r,e,p);c=f[0],h=f[1],m=f[2]}else if(e==="same"){c=Math.ceil(t/r),h=Math.ceil(n/s),m=Math.ceil(a/i);let f=(c-1)*r+o-t,g=(h-1)*s+l-n,b=(m-1)*i+u-a,y=Math.floor(f/2),x=f-y,w=Math.floor(g/2),I=g-w,T=Math.floor(b/2),C=b-T;d={top:w,bottom:I,left:T,right:C,front:y,back:x,type:"SAME"}}else if(e==="valid")d={top:0,bottom:0,left:0,right:0,front:0,back:0,type:"VALID"},c=Math.ceil((t-o+1)/r),h=Math.ceil((n-l+1)/s),m=Math.ceil((a-u+1)/i);else throw Error(`Unknown padding parameter: ${e}`);return{padInfo:d,outDepth:c,outHeight:h,outWidth:m}}function qs(e,t){if(!t)return Math.trunc(e);switch(t){case"round":return Math.round(e);case"ceil":return Math.ceil(e);case"floor":return Math.floor(e);default:throw new Error(`Unknown roundingMode ${t}`)}}function ts(e){let[t,n,a]=Ih(e);return t===1&&n===1&&a===1}function lr(e,t){return ts(e)||ts(t)}function kS(e){if(e==="NHWC")return"channelsLast";if(e==="NCHW")return"channelsFirst";throw new Error(`Unknown dataFormat ${e}`)}function Sn(e,t,n){if(n!=null){if(typeof t=="string")throw Error(`Error in ${e}: pad must be an integer when using dimRoundingMode ${n} but got pad ${t}.`);if(typeof t=="number")$(el(t),()=>`Error in ${e}: pad must be an integer when using dimRoundingMode ${n} but got pad ${t}.`);else if(typeof t=="object")t.forEach(a=>{a.forEach(r=>{$(el(r),()=>`Error in ${e}: pad must be an integer when using dimRoundingMode ${n} but got pad ${r}.`)})});else throw Error(`Error in ${e}: Unknown padding parameter: ${t}`)}}function AM(e,t){let n={x:_(e,"x","reshape","string_or_numeric")},a={shape:t};return O.runKernel(iu,n,a)}var B=L({reshape_:AM});function $M(e,t,n,a,r){let s=_(e,"x","avgPool","float32"),i=1;$(lr(n,i),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${n} and dilations '${i}'`);let o=s,l=!1;s.rank===3&&(l=!0,o=B(s,[1,s.shape[0],s.shape[1],s.shape[2]])),$(o.rank===4,()=>`Error in avgPool: x must be rank 4 but got rank ${o.rank}.`),Sn("avgPool",a,r);let u={x:o},p={filterSize:t,strides:n,pad:a,dimRoundingMode:r},d=O.runKernel(gi,u,p);return d=oe(d,s.dtype),l?B(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var fa=L({avgPool_:$M});function FM(e,t,n,a,r,s="NDHWC"){let i=_(e,"x","avgPool3d","float32"),o=i,l=!1;i.rank===4&&(l=!0,o=B(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),$(o.rank===5,()=>`Error in avgPool3d: x must be rank 5 but got rank ${o.rank}.`),$(s==="NDHWC",()=>`Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),Sn("avgPool3d",a,r);let u={x:o},p={filterSize:t,strides:n,pad:a,dimRoundingMode:r,dataFormat:s},d=O.runKernel(rc,u,p);return d=oe(d,o.dtype),l?B(d,[d.shape[1],d.shape[2],d.shape[3],d.shape[4]]):d}var Kx=L({avgPool3d_:FM});function DM(e,t=0){$(e.length>=1,()=>"Pass at least one tensor to concat");let n=Up(e,"tensors","concat","string_or_numeric");if(n[0].dtype==="complex64"&&n.forEach(s=>{if(s.dtype!=="complex64")throw new Error(`Cannot concatenate complex64 tensors with a tensor - with dtype ${s.dtype}. `)}),n.length===1)return ar(n[0]);let a=n,r={axis:t};return O.runKernel(Al,a,r)}var Ze=L({concat_:DM});function RM(e){let t={x:_(e,"x","sigmoid","float32")};return O.runKernel(ao,t)}var da=L({sigmoid_:RM});function MM(e,t,n){let a=_(e,"x","slice","string_or_numeric");if(a.rank===0)throw new Error("Slicing scalar is not possible");let r={x:a},s={begin:t,size:n};return O.runKernel(pu,r,s)}var We=L({slice_:MM});function PM(e){let t={x:_(e,"x","tanh","float32")};return O.runKernel(po,t)}var ri=L({tanh_:PM});function OM(e,t,n,a,r,s){let i=_(e,"forgetBias","basicLSTMCell"),o=_(t,"lstmKernel","basicLSTMCell"),l=_(n,"lstmBias","basicLSTMCell"),u=_(a,"data","basicLSTMCell"),p=_(r,"c","basicLSTMCell"),d=_(s,"h","basicLSTMCell"),c=Ze([u,d],1),h=Ae(c,o),m=Y(h,l),f=m.shape[0],g=m.shape[1]/4,b=[f,g],y=We(m,[0,0],b),x=We(m,[0,g],b),w=We(m,[0,g*2],b),I=We(m,[0,g*3],b),T=Y(z(da(y),ri(x)),z(p,da(Y(i,w)))),C=z(ri(T),da(I));return[T,C]}var IS=L({basicLSTMCell_:OM});function LM(e,t,n){let a=_(e,"x","batchToSpaceND"),r=t.reduce((o,l)=>o*l);$(a.rank>=1+t.length,()=>`input rank is ${a.rank} but should be > than blockShape.length ${t.length}`),$(n.length===t.length,()=>`crops.length is ${n.length} but should be equal to blockShape.length ${t.length}`),$(a.shape[0]%r===0,()=>`input tensor batch is ${a.shape[0]} but is not divisible by the product of the elements of blockShape ${t.join(" * ")} === ${r}`);let s={x:a},i={blockShape:t,crops:n};return O.runKernel(El,s,i)}var _c=L({batchToSpaceND_:LM});function zM(e){let t;return e.rank===0||e.rank===1?t=B(e,[1,1,1,e.size]):e.rank===2?t=B(e,[1,1,e.shape[0],e.shape[1]]):e.rank===3?t=B(e,[1,e.shape[0],e.shape[1],e.shape[2]]):t=e,t}function BM(e,t,n,a,r,s){s==null&&(s=.001);let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),u;r!=null&&(u=_(r,"scale","batchNorm"));let p;a!=null&&(p=_(a,"offset","batchNorm")),$(o.rank===l.rank,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),$(p==null||o.rank===p.rank,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),$(u==null||o.rank===u.rank,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let d={x:zM(i),scale:u,offset:p,mean:o,variance:l},c={varianceEpsilon:s},h=O.runKernel($i,d,c);return B(h,i.shape)}var gs=L({batchNorm_:BM});function WM(e,t,n,a,r,s){let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),u;r!=null&&(u=_(r,"scale","batchNorm"));let p;return a!=null&&(p=_(a,"offset","batchNorm")),$(i.rank===2,()=>`Error in batchNorm2D: x must be rank 2 but got rank ${i.rank}.`),$(o.rank===2||o.rank===1,()=>`Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank ${o.rank}.`),$(l.rank===2||l.rank===1,()=>`Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank ${l.rank}.`),u!=null&&$(u.rank===2||u.rank===1,()=>`Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank ${u.rank}.`),p!=null&&$(p.rank===2||p.rank===1,()=>`Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank ${p.rank}.`),gs(i,o,l,p,u,s)}var Xx=L({batchNorm2d_:WM});function VM(e,t,n,a,r,s){let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),u;r!=null&&(u=_(r,"scale","batchNorm"));let p;return a!=null&&(p=_(a,"offset","batchNorm")),$(i.rank===3,()=>`Error in batchNorm3D: x must be rank 3 but got rank ${i.rank}.`),$(o.rank===3||o.rank===1,()=>`Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank ${o.rank}.`),$(l.rank===3||l.rank===1,()=>`Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank ${l.rank}.`),u!=null&&$(u.rank===3||u.rank===1,()=>`Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank ${u.rank}.`),p!=null&&$(p.rank===3||p.rank===1,()=>`Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank ${p.rank}.`),gs(i,o,l,p,u,s)}var Yx=L({batchNorm3d_:VM});function UM(e,t,n,a,r,s){let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),u;r!=null&&(u=_(r,"scale","batchNorm"));let p;return a!=null&&(p=_(a,"offset","batchNorm")),$(i.rank===4,()=>`Error in batchNorm4D: x must be rank 4 but got rank ${i.rank}.`),$(o.rank===4||o.rank===1,()=>`Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank ${o.rank}.`),$(l.rank===4||l.rank===1,()=>`Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank ${l.rank}.`),u!=null&&$(u.rank===4||u.rank===1,()=>`Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank ${u.rank}.`),p!=null&&$(p.rank===4||p.rank===1,()=>`Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank ${p.rank}.`),gs(i,o,l,p,u,s)}var Zx=L({batchNorm4d_:UM});function GM(e,t,n){let a=_(e,"x","bincount"),r=_(t,"weights","bincount");$(a.dtype==="int32",()=>`Error in bincount: input dtype must be int32, but got ${a.dtype}`),$(n>=0,()=>`size must be non-negative, but got ${n}.`),$(r.size===a.size||r.size===0,()=>`Error in bincount: weights must have the same size as input or0-length, but got input shape: ${a.shape}, weights shape: ${r.shape}.`);let s={x:a,weights:r},i={size:n};return O.runKernel(Yh,s,i)}var Jx=L({bincount_:GM});function HM(e,t){let n=_(e,"s0","broadcastArgs","int32"),a=_(t,"s1","broadcastArgs","int32");if(n.rank!==1)throw new Error(`broadcastArgs(): first input must be a vector (rank=1). Has rank ${n.rank}`);if(a.rank!==1)throw new Error(`broadcastArgs(): second input must be a vector (rank=1). Has rank ${a.rank}`);let r={s0:n,s1:a};return O.runKernel(Zh,r)}var SS=L({broadcastArgs_:HM});function jM(e,t){let n=_(e,"broadcastTo","x"),a=n.shape;if(t.some(l=>!(l>0)||l%1!==0))throw new Error(`broadcastTo(): Invalid broadcast shape [${t}].`);if(t.lengthn.rank){let l=n.shape.slice();for(;l.length=0;l--)if(r[l]===t[l])s[l]=1;else if(n.shape[l]!==1)throw new Error(`broadcastTo(): [${a}] cannot be broadcast to [${t}].`);if(s.map((l,u)=>l>1?u:-1).filter(l=>l>=0).length===0)return ar(n);let i={x:n},o={reps:s};return O.runKernel(ds,i,o)}var Ks=L({broadcastTo_:jM});function qM(e){let t={x:_(e,"x","ceil","float32")};return O.runKernel(xi,t)}var Qx=L({ceil_:qM});function gn(e,t,n){let a={shape:e,value:t,dtype:n};return O.runKernel(lc,{},a)}function KM(e,t,n){let a=_(e,"x","clipByValue");if($(t<=n,()=>`Error in clip: min (${t}) must be less than or equal to max (${n}).`),t===n)return gn(a.shape,t,a.dtype);let r={x:a},s={clipValueMin:t,clipValueMax:n};return O.runKernel(cs,r,s)}var Qt=L({clipByValue_:KM});function XM(e){return Ze(e,0)}var ev=L({concat1d_:XM});function YM(e,t){return Ze(e,t)}var tv=L({concat2d_:YM});function ZM(e,t){return Ze(e,t)}var nv=L({concat3d_:ZM});function JM(e,t){return Ze(e,t)}var av=L({concat4d_:JM});function QM(e,t,n,a,r="NHWC",s=[1,1],i){let o=_(e,"x","conv2d","float32"),l=_(t,"filter","conv2d","float32"),u=o,p=!1;o.rank===3&&(p=!0,u=B(o,[1,o.shape[0],o.shape[1],o.shape[2]])),$(u.rank===4,()=>`Error in conv2d: input must be rank 4, but got rank ${u.rank}.`),$(l.rank===4,()=>`Error in conv2d: filter must be rank 4, but got rank ${l.rank}.`),Sn("conv2d",a,i);let d=r==="NHWC"?u.shape[3]:u.shape[1];$(d===l.shape[2],()=>`Error in conv2d: depth of input (${d}) must match input depth for filter ${l.shape[2]}.`),$(lr(n,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${n} and dilations '${s}'`);let c={x:u,filter:l},h={strides:n,pad:a,dataFormat:r,dilations:s,dimRoundingMode:i},m=O.runKernel(vi,c,h);return p?B(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var $t=L({conv2d_:QM});function eP(e,t,n,a,r="NWC",s=1,i){let o=_(e,"x","conv1d"),l=_(t,"filter","conv1d"),u=o,p=!1;o.rank===2&&(p=!0,u=B(o,[1,o.shape[0],o.shape[1]])),$(u.rank===3,()=>`Error in conv1d: input must be rank 3, but got rank ${u.rank}.`),$(l.rank===3,()=>`Error in conv1d: filter must be rank 3, but got rank ${l.rank}.`),Sn("conv1d",a,i),$(u.shape[2]===l.shape[1],()=>`Error in conv1d: depth of input (${u.shape[2]}) must match input depth for filter ${l.shape[1]}.`),$(lr(n,s),()=>`Error in conv1D: Either stride or dilation must be 1. Got stride ${n} and dilation '${s}'`),$(r==="NWC",()=>`Error in conv1d: got dataFormat of ${r} but only NWC is currently supported.`);let d=B(l,[1,l.shape[0],l.shape[1],l.shape[2]]),c=B(u,[u.shape[0],1,u.shape[1],u.shape[2]]),h=$t(c,d,[1,n],a,"NHWC",[1,s],i);return p?B(h,[h.shape[2],h.shape[3]]):B(h,[h.shape[0],h.shape[2],h.shape[3]])}var Am=L({conv1d_:eP});function tP(e,t,n,a,r,s="NHWC",i){$(e.length===t.rank,()=>`Length of inShape (${e.length}) and rank of dy (${t.rank}) must match`);let o=e,l=t,u=!1;t.rank===3&&(u=!0,l=B(t,[1,t.shape[0],t.shape[1],t.shape[2]]),o=[1,e[0],e[1],e[2]]),$(o.length===4,()=>`Error in conv2dDerInput: inShape must be length 4, but got length ${o.length}.`),$(l.rank===4,()=>`Error in conv2dDerInput: dy must be rank 4, but got rank ${l.rank}`),$(n.rank===4,()=>`Error in conv2dDerInput: filter must be rank 4, but got rank ${n.rank}`);let p=s==="NHWC"?o[3]:o[1],d=s==="NHWC"?l.shape[3]:l.shape[1];$(p===n.shape[2],()=>`Error in conv2dDerInput: depth of input (${p}) must match input depth for filter ${n.shape[2]}.`),$(d===n.shape[3],()=>`Error in conv2dDerInput: depth of output (${d}) must match output depth for filter ${n.shape[3]}.`),Sn("conv2dDerInput",r,i);let c={dy:l,filter:n},h={strides:a,pad:r,dataFormat:s,dimRoundingMode:i,inputShape:o},m=O.runKernel(wi,c,h);return u?B(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var rv=L({conv2DBackpropInput_:tP});function nP(e,t,n,a,r,s){let i=_(e,"x","conv2dTranspose"),o=_(t,"filter","conv2dTranspose");return rv(n,i,o,a,r,"NHWC",s)}var $m=L({conv2dTranspose_:nP});function aP(e,t,n,a,r="NDHWC",s=[1,1,1]){let i=_(e,"x","conv3d"),o=_(t,"filter","conv3d"),l=i,u=!1;i.rank===4&&(u=!0,l=B(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),$(l.rank===5,()=>`Error in conv3d: input must be rank 5, but got rank ${l.rank}.`),$(o.rank===5,()=>`Error in conv3d: filter must be rank 5, but got rank ${o.rank}.`),$(l.shape[4]===o.shape[3],()=>`Error in conv3d: depth of input (${l.shape[4]}) must match input depth for filter ${o.shape[3]}.`),$(lr(n,s),()=>`Error in conv3D: Either strides or dilations must be 1. Got strides ${n} and dilations '${s}'`),$(r==="NDHWC",()=>`Error in conv3d: got dataFormat of ${r} but only NDHWC is currently supported.`);let p={x:l,filter:o},d={strides:n,pad:a,dataFormat:r,dilations:s},c=O.runKernel(ic,p,d);return u?B(c,[c.shape[1],c.shape[2],c.shape[3],c.shape[4]]):c}var sv=L({conv3d_:aP});function rP(e,t,n,a,r){$(e.length===t.rank,()=>`Length of inShape (${e.length}) and rank of dy (${t.rank}) must match`);let s=e,i=t,o=!1;t.rank===4&&(o=!0,i=B(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]]),s=[1,e[0],e[1],e[2],e[3]]);let l=s[4],u=i.shape[4];$(s.length===5,()=>`Error in conv3dDerInput: inShape must be length 5, but got length ${s.length}.`),$(i.rank===5,()=>`Error in conv3dDerInput: dy must be rank 5, but got rank ${i.rank}`),$(n.rank===5,()=>`Error in conv3dDerInput: filter must be rank 5, but got rank ${n.rank}`),$(l===n.shape[3],()=>`Error in conv3dDerInput: depth of input (${l}) must match input depth for filter ${n.shape[3]}.`),$(u===n.shape[4],()=>`Error in conv3dDerInput: depth of output (${u}) must match output depth for filter ${n.shape[4]}.`);let p={dy:i,filter:n},d={pad:r,strides:a,inputShape:s},c=O.runKernel(tm,p,d);return o?B(c,[c.shape[1],c.shape[2],c.shape[3],c.shape[4]]):c}var TS=L({conv3DBackpropInput_:rP});function sP(e,t,n,a,r){let s=_(e,"x","conv3dTranspose"),i=_(t,"filter","conv3dTranspose");return TS(n,s,i,a,r)}var iv=L({conv3dTranspose_:sP});function iP(e){let t={x:_(e,"x","cos","float32")};return O.runKernel(ki,t)}var Ec=L({cos_:iP});function oP(e){let t={x:_(e,"x","cosh","float32")};return O.runKernel(Ii,t)}var Fm=L({cosh_:oP});function lP(e,t=0,n=!1,a=!1){let r={x:_(e,"x","cumprod")},s={axis:t,exclusive:n,reverse:a};return O.runKernel($l,r,s)}var Hp=L({cumprod_:lP});function uP(e,t=0,n=!1,a=!1){let r={x:_(e,"x","cumsum")},s={axis:t,exclusive:n,reverse:a};return O.runKernel(Si,r,s)}var Dm=L({cumsum_:uP});function pP(e,t,n,a=!1){let r=_(e,"x","denseBincount"),s=_(t,"weights","denseBincount");$(r.dtype==="int32",()=>`Error in denseBincount: input dtype must be int32, but got ${r.dtype}`),$(r.rank<=2,()=>`Error in denseBincount: input must be at most rank 2, but got rank ${r.rank}.`),$(n>=0,()=>`size must be non-negative, but got ${n}.`),$(s.size===r.size||s.size===0,()=>`Error in denseBincount: weights must have the same shape as x or 0-length, but got x shape: ${r.shape}, weights shape: ${s.shape}.`);let i={x:r,weights:s},o={size:n,binaryOutput:a};return O.runKernel(nm,i,o)}var NS=L({denseBincount_:pP});function cP(e,t,n="NHWC"){let a=_(e,"x","depthToSpace","float32"),r=n==="NHWC"?a.shape[1]:a.shape[2],s=n==="NHWC"?a.shape[2]:a.shape[3],i=n==="NHWC"?a.shape[3]:a.shape[1];$(t>1,()=>`blockSize should be > 1 for depthToSpace, but was: ${t}`),$(r*t>=0,()=>`Negative dimension size caused by overflow when multiplying +Expected: ${s}.`)}typeof expect!="undefined"&&expect().nothing()}function oM(e,t){e().then(()=>t.fail(),()=>t()),typeof expect!="undefined"&&expect().nothing()}function lM(e,t){let n=typeof t=="string"||typeof t=="number"||typeof t=="boolean"?[t]:t;return Kr(e)||Kr(e[0])||Kr(t)||Kr(t[0])?Dy(e,n,(a,r)=>a==r):Dy(e,t,(a,r)=>Wx(a,r,0))}function uM(e,t,n){if(n==null&&(n=zx()),!Wx(e,t,n))throw new Error(`Numbers differ: actual === ${e}, expected === ${t}`);typeof expect!="undefined"&&expect().nothing()}function Wx(e,t,n){return!isFinite(e)&&!isFinite(t)?!0:!(isNaN(e)||isNaN(t)||Math.abs(e-t)>n)}function pM(e,t,n){for(let a=0;an)throw new Error(`Value out of range:${e[a]} low: ${t}, high: ${n}`)}function cM(e,t){let n=new Float32Array(e),a=new Float32Array(t);if(n.length!==a.length)throw new Error(`Expected ArrayBuffer to be of length ${a.length}, but it was ${n.length}`);for(let r=0;r{t.addEventListener("loadeddata",a=>n(t)),t.load()})}async function hM(e){await e.play(),"requestVideoFrameCallback"in e&&await new Promise(t=>{e.requestVideoFrameCallback(t)})}var mM="4.0.0";function fM(e,t){let n=_(e,"a","add"),a=_(t,"b","add");[n,a]=_t(n,a);let r={a:n,b:a};return O.runKernel(cs,r)}var Y=L({add_:fM});function gM(e,t){let n=_(e,"a","floorDiv"),a=_(t,"b","floorDiv");[n,a]=_t(n,a);let r={a:n,b:a};return O.runKernel(Ai,r)}var Am=L({floorDiv_:gM});function bM(e,t){let n=_(e,"a","div"),a=_(t,"b","div");if([n,a]=_t(n,a),n.dtype==="int32"&&a.dtype==="int32")return Am(n,a);let r={a:n,b:a},s={};return O.runKernel(Ni,r,s)}var he=L({div_:bM});function yM(e,t){let n=_(e,"a","mul"),a=_(t,"b","mul");[n,a]=_t(n,a);let r={a:n,b:a};return O.runKernel(Ui,r)}var z=L({mul_:yM});function xM(e){let t=_(e,"x","abs");if(t.dtype==="complex64"){let n={x:t};return O.runKernel(oc,n)}else{let n={x:t};return O.runKernel(wl,n)}}var Lt=L({abs_:xM});function vM(e){let t={x:_(e,"x","acos")};return O.runKernel(kl,t)}var Bx=L({acos_:vM});function wM(e){let t={x:_(e,"x","acosh")};return O.runKernel(Il,t)}var Vx=L({acosh_:wM});function kM(e){$(Array.isArray(e),()=>"The argument passed to tf.addN() must be a list of tensors"),$(e.length>=1,()=>`Must pass at least one tensor to tf.addN(), but got ${e.length}`);let t=e.map((r,s)=>_(r,`tensors${s}`,"addN")),n=t[0];t.forEach(r=>{if(r.dtype!==n.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),t.forEach(r=>{if(!ps(r.shape,n.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});let a=t;return O.runKernel(mi,a)}var NS=L({addN_:kM});function IM(e,t=null,n=!1){let a={x:_(e,"x","all","bool")},r={axis:t,keepDims:n};return O.runKernel(Sl,a,r)}var $m=L({all_:IM});function SM(e,t=null,n=!1){let a={x:_(e,"x","any","bool")},r={axis:t,keepDims:n};return O.runKernel(Tl,a,r)}var qp=L({any_:SM});function TM(e,t=0){let n={x:_(e,"x","argMax")},a={axis:t};return O.runKernel(fi,n,a)}var ai=L({argMax_:TM});function NM(e,t=0){let n={x:_(e,"x","argMin")},a={axis:t};return O.runKernel(sc,n,a)}var Ux=L({argMin_:NM});function CM(e){let t={x:_(e,"x","asin")};return O.runKernel(Nl,t)}var Gx=L({asin_:CM});function _M(e){let t={x:_(e,"x","asinh")};return O.runKernel(Cl,t)}var Hx=L({asinh_:_M});function EM(e){let t={x:_(e,"x","atan")};return O.runKernel(_l,t)}var jx=L({atan_:EM});function AM(e,t){let n=_(e,"a","atan2"),a=_(t,"b","atan2");[n,a]=_t(n,a);let r={a:n,b:a};return O.runKernel(Al,r)}var qx=L({atan2_:AM});function $M(e){let t={x:_(e,"x","atanh")};return O.runKernel(El,t)}var Kx=L({atanh_:$M});function FM(e,t,n,a,r="NHWC",s){let i=e[3],o=[...t,i],l=ES(r);return Ec(e,o,n,s,a,null,null,l)}function CS(e,t,n,a,r,s,i="channelsLast"){let[o,l]=Ih(t),u;if(i==="channelsLast")u=[o,l,e[3],e[3]];else if(i==="channelsFirst")u=[o,l,e[1],e[1]];else throw new Error(`Unknown dataFormat ${i}`);return Ec(e,u,n,a,r,s,!1,i)}function DM(e,t,n,a,r,s,i="NDHWC"){let[o,l,u]=Ry(t),p,d;if(i==="NDHWC")d="channelsLast",p=[o,l,u,e[4],e[4]];else if(i==="NCDHW")d="channelsFirst",p=[o,l,u,e[1],e[1]];else throw new Error(`Unknown dataFormat ${i}`);return _S(e,p,n,a,r,!1,d,s)}function Ec(e,t,n,a,r,s,i=!1,o="channelsLast"){let[l,u,p,d]=[-1,-1,-1,-1];if(o==="channelsLast")[l,u,p,d]=e;else if(o==="channelsFirst")[l,d,u,p]=e;else throw new Error(`Unknown dataFormat ${o}`);let[c,h,,m]=t,[f,g]=Ih(n),[b,y]=Ih(a),x=Qo(c,b),w=Qo(h,y),{padInfo:I,outHeight:T,outWidth:C}=PM(r,u,p,f,g,x,w,s,o),E=i?m*d:m,A;return o==="channelsFirst"?A=[l,E,T,C]:o==="channelsLast"&&(A=[l,T,C,E]),{batchSize:l,dataFormat:o,inHeight:u,inWidth:p,inChannels:d,outHeight:T,outWidth:C,outChannels:E,padInfo:I,strideHeight:f,strideWidth:g,filterHeight:c,filterWidth:h,effectiveFilterHeight:x,effectiveFilterWidth:w,dilationHeight:b,dilationWidth:y,inShape:e,outShape:A,filterShape:t}}function _S(e,t,n,a,r,s=!1,i="channelsLast",o){let[l,u,p,d,c]=[-1,-1,-1,-1,-1];if(i==="channelsLast")[l,u,p,d,c]=e;else if(i==="channelsFirst")[l,c,u,p,d]=e;else throw new Error(`Unknown dataFormat ${i}`);let[h,m,f,,g]=t,[b,y,x]=Ry(n),[w,I,T]=Ry(a),C=Qo(h,w),E=Qo(m,I),A=Qo(f,T),{padInfo:R,outDepth:F,outHeight:S,outWidth:M}=OM(r,u,p,d,b,y,x,C,E,A,o),B=s?g*c:g,U;return i==="channelsFirst"?U=[l,B,F,S,M]:i==="channelsLast"&&(U=[l,F,S,M,B]),{batchSize:l,dataFormat:i,inDepth:u,inHeight:p,inWidth:d,inChannels:c,outDepth:F,outHeight:S,outWidth:M,outChannels:B,padInfo:R,strideDepth:b,strideHeight:y,strideWidth:x,filterDepth:h,filterHeight:m,filterWidth:f,effectiveFilterDepth:C,effectiveFilterHeight:E,effectiveFilterWidth:A,dilationDepth:w,dilationHeight:I,dilationWidth:T,inShape:e,outShape:U,filterShape:t}}function RM(e,t,n,a,r){a==null&&(a=Xx(e,t,n));let s=e[0],i=e[1],o=qs((s-t+2*a)/n+1,r),l=qs((i-t+2*a)/n+1,r);return[o,l]}function MM(e,t,n,a,r,s){r==null&&(r=Xx(e,t,a));let i=e[0],o=e[1],l=e[2],u=qs((i-t+2*r)/a+1,s),p=qs((o-t+2*r)/a+1,s),d=qs((l-t+2*r)/a+1,s);return[u,p,d,n]}function Xx(e,t,n,a=1){let r=Qo(t,a);return Math.floor((e[0]*(n-1)-n+r)/2)}function Ih(e){return typeof e=="number"?[e,e,e]:e.length===2?[e[0],e[1],1]:e}function Ry(e){return typeof e=="number"?[e,e,e]:e}function Qo(e,t){return t<=1?e:e+(e-1)*(t-1)}function PM(e,t,n,a,r,s,i,o,l){let u,p,d;if(typeof e=="number"){u={top:e,bottom:e,left:e,right:e,type:e===0?"VALID":"NUMBER"};let c=RM([t,n],s,a,e,o);p=c[0],d=c[1]}else if(e==="same"){p=Math.ceil(t/a),d=Math.ceil(n/r);let c=Math.max(0,(p-1)*a+s-t),h=Math.max(0,(d-1)*r+i-n),m=Math.floor(c/2),f=c-m,g=Math.floor(h/2),b=h-g;u={top:m,bottom:f,left:g,right:b,type:"SAME"}}else if(e==="valid")u={top:0,bottom:0,left:0,right:0,type:"VALID"},p=Math.ceil((t-s+1)/a),d=Math.ceil((n-i+1)/r);else if(typeof e=="object"){let c=l==="channelsLast"?e[1][0]:e[2][0],h=l==="channelsLast"?e[1][1]:e[2][1],m=l==="channelsLast"?e[2][0]:e[3][0],f=l==="channelsLast"?e[2][1]:e[3][1];u={top:c,bottom:h,left:m,right:f,type:c===0&&h===0&&m===0&&f===0?"VALID":"EXPLICIT"},p=qs((t-s+c+h)/a+1,o),d=qs((n-i+m+f)/r+1,o)}else throw Error(`Unknown padding parameter: ${e}`);return{padInfo:u,outHeight:p,outWidth:d}}function OM(e,t,n,a,r,s,i,o,l,u,p){let d,c,h,m;if(typeof e=="number"){d={top:e,bottom:e,left:e,right:e,front:e,back:e,type:e===0?"VALID":"NUMBER"};let f=MM([t,n,a,1],o,1,r,e,p);c=f[0],h=f[1],m=f[2]}else if(e==="same"){c=Math.ceil(t/r),h=Math.ceil(n/s),m=Math.ceil(a/i);let f=(c-1)*r+o-t,g=(h-1)*s+l-n,b=(m-1)*i+u-a,y=Math.floor(f/2),x=f-y,w=Math.floor(g/2),I=g-w,T=Math.floor(b/2),C=b-T;d={top:w,bottom:I,left:T,right:C,front:y,back:x,type:"SAME"}}else if(e==="valid")d={top:0,bottom:0,left:0,right:0,front:0,back:0,type:"VALID"},c=Math.ceil((t-o+1)/r),h=Math.ceil((n-l+1)/s),m=Math.ceil((a-u+1)/i);else throw Error(`Unknown padding parameter: ${e}`);return{padInfo:d,outDepth:c,outHeight:h,outWidth:m}}function qs(e,t){if(!t)return Math.trunc(e);switch(t){case"round":return Math.round(e);case"ceil":return Math.ceil(e);case"floor":return Math.floor(e);default:throw new Error(`Unknown roundingMode ${t}`)}}function ns(e){let[t,n,a]=Ih(e);return t===1&&n===1&&a===1}function ur(e,t){return ns(e)||ns(t)}function ES(e){if(e==="NHWC")return"channelsLast";if(e==="NCHW")return"channelsFirst";throw new Error(`Unknown dataFormat ${e}`)}function Tn(e,t,n){if(n!=null){if(typeof t=="string")throw Error(`Error in ${e}: pad must be an integer when using dimRoundingMode ${n} but got pad ${t}.`);if(typeof t=="number")$(tl(t),()=>`Error in ${e}: pad must be an integer when using dimRoundingMode ${n} but got pad ${t}.`);else if(typeof t=="object")t.forEach(a=>{a.forEach(r=>{$(tl(r),()=>`Error in ${e}: pad must be an integer when using dimRoundingMode ${n} but got pad ${r}.`)})});else throw Error(`Error in ${e}: Unknown padding parameter: ${t}`)}}function LM(e,t){let n={x:_(e,"x","reshape","string_or_numeric")},a={shape:t};return O.runKernel(lu,n,a)}var W=L({reshape_:LM});function zM(e,t,n,a,r){let s=_(e,"x","avgPool","float32"),i=1;$(ur(n,i),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${n} and dilations '${i}'`);let o=s,l=!1;s.rank===3&&(l=!0,o=W(s,[1,s.shape[0],s.shape[1],s.shape[2]])),$(o.rank===4,()=>`Error in avgPool: x must be rank 4 but got rank ${o.rank}.`),Tn("avgPool",a,r);let u={x:o},p={filterSize:t,strides:n,pad:a,dimRoundingMode:r},d=O.runKernel(gi,u,p);return d=oe(d,s.dtype),l?W(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var ga=L({avgPool_:zM});function WM(e,t,n,a,r,s="NDHWC"){let i=_(e,"x","avgPool3d","float32"),o=i,l=!1;i.rank===4&&(l=!0,o=W(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),$(o.rank===5,()=>`Error in avgPool3d: x must be rank 5 but got rank ${o.rank}.`),$(s==="NDHWC",()=>`Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),Tn("avgPool3d",a,r);let u={x:o},p={filterSize:t,strides:n,pad:a,dimRoundingMode:r,dataFormat:s},d=O.runKernel(ic,u,p);return d=oe(d,o.dtype),l?W(d,[d.shape[1],d.shape[2],d.shape[3],d.shape[4]]):d}var Yx=L({avgPool3d_:WM});function BM(e,t=0){$(e.length>=1,()=>"Pass at least one tensor to concat");let n=jp(e,"tensors","concat","string_or_numeric");if(n[0].dtype==="complex64"&&n.forEach(s=>{if(s.dtype!=="complex64")throw new Error(`Cannot concatenate complex64 tensors with a tensor + with dtype ${s.dtype}. `)}),n.length===1)return rr(n[0]);let a=n,r={axis:t};return O.runKernel(Fl,a,r)}var Ze=L({concat_:BM});function VM(e){let t={x:_(e,"x","sigmoid","float32")};return O.runKernel(ao,t)}var da=L({sigmoid_:VM});function UM(e,t,n){let a=_(e,"x","slice","string_or_numeric");if(a.rank===0)throw new Error("Slicing scalar is not possible");let r={x:a},s={begin:t,size:n};return O.runKernel(du,r,s)}var Be=L({slice_:UM});function GM(e){let t={x:_(e,"x","tanh","float32")};return O.runKernel(po,t)}var ri=L({tanh_:GM});function HM(e,t,n,a,r,s){let i=_(e,"forgetBias","basicLSTMCell"),o=_(t,"lstmKernel","basicLSTMCell"),l=_(n,"lstmBias","basicLSTMCell"),u=_(a,"data","basicLSTMCell"),p=_(r,"c","basicLSTMCell"),d=_(s,"h","basicLSTMCell"),c=Ze([u,d],1),h=Fe(c,o),m=Y(h,l),f=m.shape[0],g=m.shape[1]/4,b=[f,g],y=Be(m,[0,0],b),x=Be(m,[0,g],b),w=Be(m,[0,g*2],b),I=Be(m,[0,g*3],b),T=Y(z(da(y),ri(x)),z(p,da(Y(i,w)))),C=z(ri(T),da(I));return[T,C]}var AS=L({basicLSTMCell_:HM});function jM(e,t,n){let a=_(e,"x","batchToSpaceND"),r=t.reduce((o,l)=>o*l);$(a.rank>=1+t.length,()=>`input rank is ${a.rank} but should be > than blockShape.length ${t.length}`),$(n.length===t.length,()=>`crops.length is ${n.length} but should be equal to blockShape.length ${t.length}`),$(a.shape[0]%r===0,()=>`input tensor batch is ${a.shape[0]} but is not divisible by the product of the elements of blockShape ${t.join(" * ")} === ${r}`);let s={x:a},i={blockShape:t,crops:n};return O.runKernel($l,s,i)}var Ac=L({batchToSpaceND_:jM});function qM(e){let t;return e.rank===0||e.rank===1?t=W(e,[1,1,1,e.size]):e.rank===2?t=W(e,[1,1,e.shape[0],e.shape[1]]):e.rank===3?t=W(e,[1,e.shape[0],e.shape[1],e.shape[2]]):t=e,t}function KM(e,t,n,a,r,s){s==null&&(s=.001);let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),u;r!=null&&(u=_(r,"scale","batchNorm"));let p;a!=null&&(p=_(a,"offset","batchNorm")),$(o.rank===l.rank,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),$(p==null||o.rank===p.rank,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),$(u==null||o.rank===u.rank,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let d={x:qM(i),scale:u,offset:p,mean:o,variance:l},c={varianceEpsilon:s},h=O.runKernel($i,d,c);return W(h,i.shape)}var bs=L({batchNorm_:KM});function XM(e,t,n,a,r,s){let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),u;r!=null&&(u=_(r,"scale","batchNorm"));let p;return a!=null&&(p=_(a,"offset","batchNorm")),$(i.rank===2,()=>`Error in batchNorm2D: x must be rank 2 but got rank ${i.rank}.`),$(o.rank===2||o.rank===1,()=>`Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank ${o.rank}.`),$(l.rank===2||l.rank===1,()=>`Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank ${l.rank}.`),u!=null&&$(u.rank===2||u.rank===1,()=>`Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank ${u.rank}.`),p!=null&&$(p.rank===2||p.rank===1,()=>`Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank ${p.rank}.`),bs(i,o,l,p,u,s)}var Zx=L({batchNorm2d_:XM});function YM(e,t,n,a,r,s){let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),u;r!=null&&(u=_(r,"scale","batchNorm"));let p;return a!=null&&(p=_(a,"offset","batchNorm")),$(i.rank===3,()=>`Error in batchNorm3D: x must be rank 3 but got rank ${i.rank}.`),$(o.rank===3||o.rank===1,()=>`Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank ${o.rank}.`),$(l.rank===3||l.rank===1,()=>`Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank ${l.rank}.`),u!=null&&$(u.rank===3||u.rank===1,()=>`Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank ${u.rank}.`),p!=null&&$(p.rank===3||p.rank===1,()=>`Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank ${p.rank}.`),bs(i,o,l,p,u,s)}var Jx=L({batchNorm3d_:YM});function ZM(e,t,n,a,r,s){let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),u;r!=null&&(u=_(r,"scale","batchNorm"));let p;return a!=null&&(p=_(a,"offset","batchNorm")),$(i.rank===4,()=>`Error in batchNorm4D: x must be rank 4 but got rank ${i.rank}.`),$(o.rank===4||o.rank===1,()=>`Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank ${o.rank}.`),$(l.rank===4||l.rank===1,()=>`Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank ${l.rank}.`),u!=null&&$(u.rank===4||u.rank===1,()=>`Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank ${u.rank}.`),p!=null&&$(p.rank===4||p.rank===1,()=>`Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank ${p.rank}.`),bs(i,o,l,p,u,s)}var Qx=L({batchNorm4d_:ZM});function JM(e,t,n){let a=_(e,"x","bincount"),r=_(t,"weights","bincount");$(a.dtype==="int32",()=>`Error in bincount: input dtype must be int32, but got ${a.dtype}`),$(n>=0,()=>`size must be non-negative, but got ${n}.`),$(r.size===a.size||r.size===0,()=>`Error in bincount: weights must have the same size as input or0-length, but got input shape: ${a.shape}, weights shape: ${r.shape}.`);let s={x:a,weights:r},i={size:n};return O.runKernel(Zh,s,i)}var ev=L({bincount_:JM});function QM(e,t){let n=_(e,"s0","broadcastArgs","int32"),a=_(t,"s1","broadcastArgs","int32");if(n.rank!==1)throw new Error(`broadcastArgs(): first input must be a vector (rank=1). Has rank ${n.rank}`);if(a.rank!==1)throw new Error(`broadcastArgs(): second input must be a vector (rank=1). Has rank ${a.rank}`);let r={s0:n,s1:a};return O.runKernel(Jh,r)}var $S=L({broadcastArgs_:QM});function eP(e,t){let n=_(e,"broadcastTo","x"),a=n.shape;if(t.some(l=>!(l>0)||l%1!==0))throw new Error(`broadcastTo(): Invalid broadcast shape [${t}].`);if(t.lengthn.rank){let l=n.shape.slice();for(;l.length=0;l--)if(r[l]===t[l])s[l]=1;else if(n.shape[l]!==1)throw new Error(`broadcastTo(): [${a}] cannot be broadcast to [${t}].`);if(s.map((l,u)=>l>1?u:-1).filter(l=>l>=0).length===0)return rr(n);let i={x:n},o={reps:s};return O.runKernel(hs,i,o)}var Ks=L({broadcastTo_:eP});function tP(e){let t={x:_(e,"x","ceil","float32")};return O.runKernel(xi,t)}var tv=L({ceil_:tP});function gn(e,t,n){let a={shape:e,value:t,dtype:n};return O.runKernel(pc,{},a)}function nP(e,t,n){let a=_(e,"x","clipByValue");if($(t<=n,()=>`Error in clip: min (${t}) must be less than or equal to max (${n}).`),t===n)return gn(a.shape,t,a.dtype);let r={x:a},s={clipValueMin:t,clipValueMax:n};return O.runKernel(ds,r,s)}var en=L({clipByValue_:nP});function aP(e){return Ze(e,0)}var nv=L({concat1d_:aP});function rP(e,t){return Ze(e,t)}var av=L({concat2d_:rP});function sP(e,t){return Ze(e,t)}var rv=L({concat3d_:sP});function iP(e,t){return Ze(e,t)}var sv=L({concat4d_:iP});function oP(e,t,n,a,r="NHWC",s=[1,1],i){let o=_(e,"x","conv2d","float32"),l=_(t,"filter","conv2d","float32"),u=o,p=!1;o.rank===3&&(p=!0,u=W(o,[1,o.shape[0],o.shape[1],o.shape[2]])),$(u.rank===4,()=>`Error in conv2d: input must be rank 4, but got rank ${u.rank}.`),$(l.rank===4,()=>`Error in conv2d: filter must be rank 4, but got rank ${l.rank}.`),Tn("conv2d",a,i);let d=r==="NHWC"?u.shape[3]:u.shape[1];$(d===l.shape[2],()=>`Error in conv2d: depth of input (${d}) must match input depth for filter ${l.shape[2]}.`),$(ur(n,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${n} and dilations '${s}'`);let c={x:u,filter:l},h={strides:n,pad:a,dataFormat:r,dilations:s,dimRoundingMode:i},m=O.runKernel(vi,c,h);return p?W(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var $t=L({conv2d_:oP});function lP(e,t,n,a,r="NWC",s=1,i){let o=_(e,"x","conv1d"),l=_(t,"filter","conv1d"),u=o,p=!1;o.rank===2&&(p=!0,u=W(o,[1,o.shape[0],o.shape[1]])),$(u.rank===3,()=>`Error in conv1d: input must be rank 3, but got rank ${u.rank}.`),$(l.rank===3,()=>`Error in conv1d: filter must be rank 3, but got rank ${l.rank}.`),Tn("conv1d",a,i),$(u.shape[2]===l.shape[1],()=>`Error in conv1d: depth of input (${u.shape[2]}) must match input depth for filter ${l.shape[1]}.`),$(ur(n,s),()=>`Error in conv1D: Either stride or dilation must be 1. Got stride ${n} and dilation '${s}'`),$(r==="NWC",()=>`Error in conv1d: got dataFormat of ${r} but only NWC is currently supported.`);let d=W(l,[1,l.shape[0],l.shape[1],l.shape[2]]),c=W(u,[u.shape[0],1,u.shape[1],u.shape[2]]),h=$t(c,d,[1,n],a,"NHWC",[1,s],i);return p?W(h,[h.shape[2],h.shape[3]]):W(h,[h.shape[0],h.shape[2],h.shape[3]])}var Fm=L({conv1d_:lP});function uP(e,t,n,a,r,s="NHWC",i){$(e.length===t.rank,()=>`Length of inShape (${e.length}) and rank of dy (${t.rank}) must match`);let o=e,l=t,u=!1;t.rank===3&&(u=!0,l=W(t,[1,t.shape[0],t.shape[1],t.shape[2]]),o=[1,e[0],e[1],e[2]]),$(o.length===4,()=>`Error in conv2dDerInput: inShape must be length 4, but got length ${o.length}.`),$(l.rank===4,()=>`Error in conv2dDerInput: dy must be rank 4, but got rank ${l.rank}`),$(n.rank===4,()=>`Error in conv2dDerInput: filter must be rank 4, but got rank ${n.rank}`);let p=s==="NHWC"?o[3]:o[1],d=s==="NHWC"?l.shape[3]:l.shape[1];$(p===n.shape[2],()=>`Error in conv2dDerInput: depth of input (${p}) must match input depth for filter ${n.shape[2]}.`),$(d===n.shape[3],()=>`Error in conv2dDerInput: depth of output (${d}) must match output depth for filter ${n.shape[3]}.`),Tn("conv2dDerInput",r,i);let c={dy:l,filter:n},h={strides:a,pad:r,dataFormat:s,dimRoundingMode:i,inputShape:o},m=O.runKernel(wi,c,h);return u?W(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var iv=L({conv2DBackpropInput_:uP});function pP(e,t,n,a,r,s){let i=_(e,"x","conv2dTranspose"),o=_(t,"filter","conv2dTranspose");return iv(n,i,o,a,r,"NHWC",s)}var Dm=L({conv2dTranspose_:pP});function cP(e,t,n,a,r="NDHWC",s=[1,1,1]){let i=_(e,"x","conv3d"),o=_(t,"filter","conv3d"),l=i,u=!1;i.rank===4&&(u=!0,l=W(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),$(l.rank===5,()=>`Error in conv3d: input must be rank 5, but got rank ${l.rank}.`),$(o.rank===5,()=>`Error in conv3d: filter must be rank 5, but got rank ${o.rank}.`),$(l.shape[4]===o.shape[3],()=>`Error in conv3d: depth of input (${l.shape[4]}) must match input depth for filter ${o.shape[3]}.`),$(ur(n,s),()=>`Error in conv3D: Either strides or dilations must be 1. Got strides ${n} and dilations '${s}'`),$(r==="NDHWC",()=>`Error in conv3d: got dataFormat of ${r} but only NDHWC is currently supported.`);let p={x:l,filter:o},d={strides:n,pad:a,dataFormat:r,dilations:s},c=O.runKernel(lc,p,d);return u?W(c,[c.shape[1],c.shape[2],c.shape[3],c.shape[4]]):c}var ov=L({conv3d_:cP});function dP(e,t,n,a,r){$(e.length===t.rank,()=>`Length of inShape (${e.length}) and rank of dy (${t.rank}) must match`);let s=e,i=t,o=!1;t.rank===4&&(o=!0,i=W(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]]),s=[1,e[0],e[1],e[2],e[3]]);let l=s[4],u=i.shape[4];$(s.length===5,()=>`Error in conv3dDerInput: inShape must be length 5, but got length ${s.length}.`),$(i.rank===5,()=>`Error in conv3dDerInput: dy must be rank 5, but got rank ${i.rank}`),$(n.rank===5,()=>`Error in conv3dDerInput: filter must be rank 5, but got rank ${n.rank}`),$(l===n.shape[3],()=>`Error in conv3dDerInput: depth of input (${l}) must match input depth for filter ${n.shape[3]}.`),$(u===n.shape[4],()=>`Error in conv3dDerInput: depth of output (${u}) must match output depth for filter ${n.shape[4]}.`);let p={dy:i,filter:n},d={pad:r,strides:a,inputShape:s},c=O.runKernel(nm,p,d);return o?W(c,[c.shape[1],c.shape[2],c.shape[3],c.shape[4]]):c}var FS=L({conv3DBackpropInput_:dP});function hP(e,t,n,a,r){let s=_(e,"x","conv3dTranspose"),i=_(t,"filter","conv3dTranspose");return FS(n,s,i,a,r)}var lv=L({conv3dTranspose_:hP});function mP(e){let t={x:_(e,"x","cos","float32")};return O.runKernel(ki,t)}var $c=L({cos_:mP});function fP(e){let t={x:_(e,"x","cosh","float32")};return O.runKernel(Ii,t)}var Rm=L({cosh_:fP});function gP(e,t=0,n=!1,a=!1){let r={x:_(e,"x","cumprod")},s={axis:t,exclusive:n,reverse:a};return O.runKernel(Dl,r,s)}var Kp=L({cumprod_:gP});function bP(e,t=0,n=!1,a=!1){let r={x:_(e,"x","cumsum")},s={axis:t,exclusive:n,reverse:a};return O.runKernel(Si,r,s)}var Mm=L({cumsum_:bP});function yP(e,t,n,a=!1){let r=_(e,"x","denseBincount"),s=_(t,"weights","denseBincount");$(r.dtype==="int32",()=>`Error in denseBincount: input dtype must be int32, but got ${r.dtype}`),$(r.rank<=2,()=>`Error in denseBincount: input must be at most rank 2, but got rank ${r.rank}.`),$(n>=0,()=>`size must be non-negative, but got ${n}.`),$(s.size===r.size||s.size===0,()=>`Error in denseBincount: weights must have the same shape as x or 0-length, but got x shape: ${r.shape}, weights shape: ${s.shape}.`);let i={x:r,weights:s},o={size:n,binaryOutput:a};return O.runKernel(am,i,o)}var Sh=L({denseBincount_:yP});function xP(e,t,n="NHWC"){let a=_(e,"x","depthToSpace","float32"),r=n==="NHWC"?a.shape[1]:a.shape[2],s=n==="NHWC"?a.shape[2]:a.shape[3],i=n==="NHWC"?a.shape[3]:a.shape[1];$(t>1,()=>`blockSize should be > 1 for depthToSpace, but was: ${t}`),$(r*t>=0,()=>`Negative dimension size caused by overflow when multiplying ${r} and ${t} for depthToSpace with input shape ${a.shape}`),$(s*t>=0,()=>`Negative dimension size caused by overflow when multiplying ${s} and ${t} for depthToSpace with input shape - ${a.shape}`),$(i%(t*t)===0,()=>`Dimension size must be evenly divisible by ${t*t} but is ${i} for depthToSpace with input shape ${a.shape}`);let o={x:a},l={blockSize:t,dataFormat:n};return O.runKernel(Dl,o,l)}var ov=L({depthToSpace_:cP});function dP(e,t,n,a,r="NHWC",s=[1,1],i){let o=_(e,"x","depthwiseConv2d","float32"),l=_(t,"filter","depthwiseConv2d","float32"),u=o,p=!1;o.rank===3&&(p=!0,u=B(o,[1,o.shape[0],o.shape[1],o.shape[2]])),$(u.rank===4,()=>`Error in depthwiseConv2d: input must be rank 4, but got rank ${u.rank}.`),$(l.rank===4,()=>`Error in depthwiseConv2d: filter must be rank 4, but got rank ${l.rank}.`);let d=r==="NHWC"?u.shape[3]:u.shape[1];$(d===l.shape[2],()=>`Error in depthwiseConv2d: number of input channels (${d}) must match the inChannels dimension in filter ${l.shape[2]}.`),Sn("depthwiseConv2d",a,i);let c={x:u,filter:l},h={strides:n,pad:a,dataFormat:r,dilations:s,dimRoundingMode:i},m=O.runKernel(Ti,c,h);return p?B(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var bs=L({depthwiseConv2d_:dP});function hP(e){let t={x:_(e,"x","diag")};return O.runKernel(sm,t)}var CS=L({diag_:hP});function mP(e,t,n,a,r=[1,1],s="NHWC"){let i=_(e,"x","dilation2d"),o=_(t,"filter","dilation2d");$(i.rank===3||i.rank===4,()=>`Error in dilation2d: input must be rank 3 or 4, but got rank ${i.rank}.`),$(o.rank===3,()=>`Error in dilation2d: filter must be rank 3, but got rank ${o.rank}.`),$(s==="NHWC",()=>`Error in dilation2d: Only NHWC is currently supported, but got dataFormat of ${s}`);let l=i,u=!1;i.rank===3&&(l=B(i,[1,i.shape[0],i.shape[1],i.shape[2]]),u=!0);let p={x:l,filter:o},d={strides:n,pad:a,dilations:r},c=O.runKernel(oc,p,d);return u?B(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var lv=L({dilation2d_:mP});function fP(e,t){let n=_(e,"a","equal","string_or_numeric"),a=_(t,"b","equal","string_or_numeric");[n,a]=_t(n,a),lt(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(Ml,r)}var Jn=L({equal_:fP});function gP(e,t,n){let a=_(t,"a","where"),r=_(n,"b","where"),s=_(e,"condition","where","bool"),i=lt(lt(s.shape,a.shape),r.shape),o=Ks(s,i),l=Ks(a,i),u=Ks(r,i),p={condition:o,t:l,e:u};return O.runKernel(lu,p)}var mn=L({where_:gP});function bP(e){let t={x:_(e,"x","zerosLike")};return O.runKernel(wu,t)}var je=L({zerosLike_:bP});function yP(e,t){let n=_(e,"a","div"),a=_(t,"b","div");[n,a]=_t(n,a);let r=he(n,a),s=je(r),i=Jn(a,s);return mn(i,s,r)}var uv=L({divNoNan_:yP});function xP(e,t){let n=_(e,"t1","dot"),a=_(t,"t2","dot");$((n.rank===1||n.rank===2)&&(a.rank===1||a.rank===2),()=>`Error in dot: inputs must all be rank 1 or 2, but got ranks ${n.rank} and ${a.rank}.`);let r=n.rank===1?n.size:n.shape[1],s=a.rank===1?a.size:a.shape[0];if($(r===s,()=>`Error in dot: inner dimensions of inputs must match, but got ${r} and ${s}.`),n.rank===1&&a.rank===1){let i=B(n,[1,-1]),o=B(a,[-1,1]),l=Ae(i,o);return B(l,[])}else if(n.rank===1&&a.rank===2){let i=B(n,[1,-1]),o=B(a,[a.shape[0],a.shape[1]]),l=Ae(i,o);return B(l,[l.size])}else if(n.rank===2&&a.rank===1){let i=B(a,[-1,1]),o=Ae(n,i);return B(o,[o.size])}else{let i=B(a,[a.shape[0],a.shape[1]]);return Ae(n,i)}}var pv=L({dot_:xP});function vP(e,...t){let n=t.map((r,s)=>_(r,`tensors${s}`,"einsum")),a={equation:e};return O.runKernel(im,n,a)}var _S=L({einsum_:vP});function wP(e){let t={x:_(e,"x","elu","float32")};return O.runKernel(Ci,t)}var Su=L({elu_:wP});function kP(e){let t=_(e,"x","erf");$(t.dtype==="int32"||t.dtype==="float32",()=>"Input dtype must be `int32` or `float32`."),t.dtype==="int32"&&(t=oe(t,"float32"));let n={x:t};return O.runKernel(Rl,n)}var cv=L({erf_:kP});function dv(e,t){for(let n=0;ne[s]);return[n,r]}function si(e,t){let n=t.map(a=>1);return ES(e,n,t)}function IP(e,t,n){$(dv(t,n),()=>`${e} supports only inner-most axes for now. Got axes ${t} and rank-${n} input.`)}function $S(e,t){if(dv(e,t))return null;let n=[];for(let a=0;an.push(a)),n}function hv(e){return e.map((t,n)=>[n,t]).sort((t,n)=>t[1]-n[1]).map(t=>t[0])}function SP(e,t){let n=[];for(let a=t-e;a"Axis must be <= rank of the tensor");let a={input:n},r={dim:t};return O.runKernel(Pl,a,r)}var hn=L({expandDims_:RP});function MP(e){let t={x:_(e,"x","expm1")};return O.runKernel(Ol,t)}var fv=L({expm1_:MP});function PP(e,t){let n=_(e,"x","tile","string_or_numeric");$(n.rank===t.length,()=>`Error in transpose: rank of input ${n.rank} must match length of reps ${t}.`);let a={x:n},r={reps:t};return O.runKernel(ds,a,r)}var Pn=L({tile_:PP});function OP(e,t,n,a="float32"){t==null&&(t=e);let r=Pe([e,t],a),s=e<=t?e:t;for(let o=0;o`Error in localResponseNormalization: x must be rank 3 or 4 but got - rank ${s.rank}.`),$(el(t),()=>`Error in localResponseNormalization: depthRadius must be an integer but got depthRadius ${t}.`);let i=s,o=!1;s.rank===3&&(o=!0,i=B(s,[1,s.shape[0],s.shape[1],s.shape[2]]));let l={x:i},u={depthRadius:t,bias:n,alpha:a,beta:r},p=O.runKernel(uc,l,u);return o?B(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var xv=L({localResponseNormalization_:KP});function XP(e){let t={x:_(e,"x","log","float32")};return O.runKernel(Mi,t)}var Qn=L({log_:XP});function YP(e){let t={x:_(e,"x","log1p")};return O.runKernel(ql,t)}var $c=L({log1p_:YP});function ZP(e){return $(Qr(e),()=>"The f passed in grad(f) must be a function"),(t,n)=>{let a=_(t,"x","tf.grad","string_or_numeric"),r=n!=null?_(n,"dy","tf.grad"):null;return O.tidy(()=>{let{value:s,grads:i}=O.gradients(()=>e(a),[a],r);return r!=null&&In(s.shape,r.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),Pm(i),i[0]})}}function JP(e){return $(Qr(e),()=>"The f passed in grads(f) must be a function"),(t,n)=>{$(Array.isArray(t),()=>"The args passed in grads(f)(args) must be an array of `Tensor`s or `TensorLike`s");let a=Up(t,"args","tf.grads","string_or_numeric"),r=n!=null?_(n,"dy","tf.grads"):null;return O.tidy(()=>{let{value:s,grads:i}=O.gradients(()=>e(...a),a,r);return r!=null&&In(s.shape,r.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Pm(i),i})}}function QP(e){return $(Qr(e),()=>"The f passed in valueAndGrad(f) must be a function"),(t,n)=>{$(t instanceof Te,()=>"The x passed in valueAndGrad(f)(x) must be a tensor"),$(n==null||n instanceof Te,()=>"The dy passed in valueAndGrad(f)(x, dy) must be a tensor");let{grads:a,value:r}=O.gradients(()=>e(t),[t],n);return Pm(a),{grad:a[0],value:r}}}function eO(e){return $(Qr(e),()=>"The f passed in valueAndGrads(f) must be a function"),(t,n)=>{$(Array.isArray(t)&&t.every(r=>r instanceof Te),()=>"The args passed in valueAndGrads(f)(args) must be array of tensors"),$(n==null||n instanceof Te,()=>"The dy passed in valueAndGrads(f)(args, dy) must be a tensor");let a=O.gradients(()=>e(...t),t,n);return n!=null&&In(a.value.shape,n.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Pm(a.grads),a}}function RS(e,t){$(Qr(e),()=>"The f passed in variableGrads(f) must be a function"),$(t==null||Array.isArray(t)&&t.every(u=>u instanceof es),()=>"The varList passed in variableGrads(f, varList) must be an array of variables");let n=t!=null;if(!n){t=[];for(let u in O.registeredVariables)t.push(O.registeredVariables[u])}let a=n?t.filter(u=>!u.trainable):null,r=t.length;t=t.filter(u=>u.trainable),$(t.length>0,()=>`variableGrads() expects at least one of the input variables to be trainable, but none of the ${r} variables is trainable.`);let s=!0,{value:i,grads:o}=O.gradients(e,t,null,s);$(o.some(u=>u!=null),()=>"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize()."),$(i.rank===0,()=>`The f passed in variableGrads(f) must return a scalar, but it returned a rank-${i.rank} tensor`);let l={};return t.forEach((u,p)=>{o[p]!=null&&(l[u.name]=o[p])}),a!=null&&a.forEach(u=>l[u.name]=null),{value:i,grads:l}}function ir(e){return O.customGrad(e)}function Pm(e){if(e.filter(t=>t==null).length>0)throw new Error(`Cannot compute gradient of y=f(x) with respect to x. Make sure that - the f you passed encloses all operations that lead from x to y.`)}function tO(e){let t={x:_(e,"x","softplus")};return O.runKernel(hu,t)}var ho=L({softplus_:tO});function nO(e){let t=_(e,"x","logSigmoid");return ir(n=>({value:yt(ho(yt(n))),gradFunc:a=>z(a,da(yt(n)))}))(t)}var vv=L({logSigmoid_:nO});function aO(e,t){let n=_(e,"a","sub"),a=_(t,"b","sub");[n,a]=_t(n,a);let r={a:n,b:a};return O.runKernel(lo,r)}var pe=L({sub_:aO});function rO(e,t=-1){let n=_(e,"logits","logSoftmax");if(t===-1&&(t=n.rank-1),t!==n.rank-1)throw Error(`Log Softmax along a non-last dimension is not yet supported. Logits was rank ${n.rank} and axis was ${t}`);return ir((a,r)=>{let s=Na(a,t,!0),i=pe(a,s),o=pe(oe(i,"float32"),Qn(fe(fn(i),t,!0)));return r([o]),{value:o,gradFunc:(l,u)=>{let[p]=u,d=!0,c=fn(p);return pe(l,z(fe(l,t,d),c))}}})(n)}var Om=L({logSoftmax_:rO});function sO(e,t=null,n=!1){let a=_(e,"x","logSumExp"),r=Ea(t,a.shape),s=Na(a,r,!0),i=pe(a,s),o=fn(i),l=fe(o,r),u=Qn(l),p=Y(B(s,u.shape),u);if(n){let d=si(p.shape,r);return B(p,d)}return p}var Lm=L({logSumExp_:sO});function iO(e,t){let n=_(e,"a","logicalAnd","bool"),a=_(t,"b","logicalAnd","bool");lt(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(Kl,r)}var _a=L({logicalAnd_:iO});function oO(e){let t={x:_(e,"x","logicalNot","bool")};return O.runKernel(Xl,t)}var Fc=L({logicalNot_:oO});function lO(e,t){let n=_(e,"a","logicalOr","bool"),a=_(t,"b","logicalOr","bool");lt(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(Yl,r)}var zm=L({logicalOr_:lO});function uO(e,t){let n=_(e,"a","logicalXor","bool"),a=_(t,"b","logicalXor","bool");return lt(n.shape,a.shape),_a(zm(e,t),Fc(_a(e,t)))}var wv=L({logicalXor_:uO}),Gd=2147483648;function pO(e,t,n="left"){let a=_(e,"sortedSequence","searchSorted"),r=_(t,"values","searchSorted"),s=a.shape[a.shape.length-1],i=r.shape[r.shape.length-1],o=B(a,[-1,s]),l=B(r,[-1,i]);if(o.rank<2)throw new Error("Sorted input argument must be at least 2-dimensional");if(o.shape[0]!==l.shape[0])throw new Error("Leading dimension of 'sortedSequence' and 'values' must match.");if(mt(l.shape)>=Gd)throw new Error(`values tensor size must less than ${Gd}`);if(o.shape[1]>=Gd)throw new Error(`trailing dim_size must less than ${Gd} for int32 output type, was ${o.shape[1]}`);let u={sortedSequence:o,values:l},p={side:n};return O.runKernel(km,u,p)}var Bm=L({searchSorted_:pO});function MS(e,t){return Bm(e,t,"left")}function cO(e,t,n,a,r){let s=_(e,"x","maxPool"),i=1,o=s,l=!1;s.rank===3&&(l=!0,o=B(s,[1,s.shape[0],s.shape[1],s.shape[2]])),$(o.rank===4,()=>`Error in maxPool: input must be rank 4 but got rank ${o.rank}.`),$(lr(n,i),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${n} and dilations '${i}'`),Sn("maxPool",a,r);let u={x:o},p={filterSize:t,strides:n,pad:a,dimRoundingMode:r},d=O.runKernel(Li,u,p);return l?B(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var Dt=L({maxPool_:cO});function dO(e,t=[1,1,1],n,a,r,s="NDHWC"){let i=_(e,"x","maxPool3d"),o=i,l=!1;i.rank===4&&(l=!0,o=B(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),$(o.rank===5,()=>`Error in maxPool3d: x must be rank 5 but got rank ${o.rank}.`),$(s==="NDHWC",()=>`Error in maxPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),Sn("maxPool3d",a,r);let u={x:o},p={filterSize:t,strides:n,pad:a,dimRoundingMode:r,dataFormat:s},d=O.runKernel(pc,u,p);return l?B(d,[d.shape[1],d.shape[2],d.shape[3],d.shape[4]]):d}var kv=L({maxPool3d_:dO});function hO(e,t,n,a,r=!1){let s={x:_(e,"x","maxPoolWithArgmax")},i={filterSize:t,strides:n,pad:a,includeBatchInIndex:r},o=O.runKernel(fm,s,i);return{result:o[0],indexes:o[1]}}var PS=L({maxPoolWithArgmax_:hO});function mO(e,t){let n=_(e,"a","maximum"),a=_(t,"b","maximum");[n,a]=_t(n,a),n.dtype==="bool"&&(n=oe(n,"int32"),a=oe(a,"int32")),lt(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(Oi,r)}var ur=L({maximum_:mO});function fO(e,t=null,n=!1){let a={x:_(e,"x","mean")},r={axis:t,keepDims:n};return O.runKernel(zi,a,r)}var Nt=L({mean_:fO});function It(e,t="float32"){if(t==="complex64"){let a=It(e,"float32"),r=It(e,"float32");return Cr(a,r)}let n=qh(mt(e),t);return O.makeTensor(n,e,t)}function Yn(e,t="float32"){if(t==="complex64"){let a=Yn(e,"float32"),r=It(e,"float32");return Cr(a,r)}let n=yx(mt(e),t);return O.makeTensor(n,e,t)}function OS(e,t,{indexing:n="xy"}={}){if(n!=="xy"&&n!=="ij")throw new TypeError(`${n} is not a valid third argument to meshgrid`);if(e===void 0)return[];let a=_(e,"x","meshgrid",e instanceof Te?e.dtype:"float32");if(t===void 0)return[a];let r=_(t,"y","meshgrid",t instanceof Te?t.dtype:"float32"),s=mt(a.shape),i=mt(r.shape);return n==="xy"?(a=B(a,[1,-1]),r=B(r,[-1,1]),[Ae(Yn([i,1],a.dtype),a),Ae(r,Yn([1,s],r.dtype))]):(a=B(a,[-1,1]),r=B(r,[1,-1]),[Ae(a,Yn([1,i],a.dtype)),Ae(Yn([s,1],r.dtype),r)])}function gO(e,t){let n=_(e,"a","minimum"),a=_(t,"b","minimum");[n,a]=_t(n,a),n.dtype==="bool"&&(n=oe(n,"int32"),a=oe(a,"int32")),lt(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(Wi,r)}var _u=L({minimum_:gO});function bO(e,t,n){$(n==="reflect"||n==="symmetric",()=>`Invalid mode. Mode must be either reflect or symmetric. Got ${n}.`);let a=_(e,"x","mirrorPad");if(a.rank===0)throw new Error("mirrorPad(scalar) is not defined. Pass non-scalar to mirrorPad");$(t.length===a.rank,()=>`Padding doesn't match input. Must be ${a.rank}. Got ${t.length}.`);let r=n==="reflect"?1:0;for(let o=0;o"Invalid number of paddings. Must be length of 2 each."),$(t[o][0]>=0&&t[o][0]<=a.shape[o]-r&&t[o][1]>=0&&t[o][1]<=a.shape[o]-r,()=>`Padding in dimension ${o} cannot be greater than or equal to ${a.shape[o]-r} or less than 0 for input of shape ${a.shape}`);let s={paddings:t,mode:n},i={x:a};return O.runKernel(Vi,i,s)}var Iv=L({mirrorPad_:bO});function yO(e,t){let n=_(e,"a","mod"),a=_(t,"b","mod");[n,a]=_t(n,a);let r={a:n,b:a};return O.runKernel(Zl,r)}var Sv=L({mod_:yO});function xO(e,t=null,n=!1){e=_(e,"x","moments");let a=Ea(t,e.shape),r=Nt(e,a,n),s=r.shape;n||(s=si(r.shape,a));let i=ot(pe(oe(e,"float32"),B(r,s))),o=Nt(i,a,n);return{mean:r,variance:o}}var Dc=L({moments_:xO});function vO(e,t,n,a){let r=_(t,"data","multiRNNCell"),s=Up(n,"c","multiRNNCell"),i=Up(a,"h","multiRNNCell"),o=r,l=[];for(let d=0;d2)throw new Error(`Rank of probabilities must be 1 or 2, but is ${i}`);n=n||Math.random();let o={logits:i===1?B(r,[1,-1]):r},l={numSamples:t,seed:n,normalized:a},u=O.runKernel(gm,o,l);return i===1?B(u,[u.size]):u}var zS=L({multinomial_:wO});function kO(e,t){let n=_(e,"a","notEqual","string_or_numeric"),a=_(t,"b","notEqual","string_or_numeric");[n,a]=_t(n,a),lt(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(Ql,r)}var ii=L({notEqual_:kO});function IO(e){let t={x:_(e,"x","onesLike")};return O.runKernel(au,t)}var ea=L({onesLike_:IO});function SO(e,t){let n=_(e,"v1","outerProduct"),a=_(t,"v2","outerProduct");$(n.rank===1&&a.rank===1,()=>`Error in outerProduct: inputs must be rank 1, but got ranks ${n.rank} and ${a.rank}.`);let r=B(n,[-1,1]),s=B(a,[1,-1]);return Ae(r,s)}var BS=L({outerProduct_:SO});function TO(e,t,n=0){let a=_(e,"x","pad");if(a.rank===0)throw new Error("pad(scalar) is not defined. Pass non-scalar to pad");let r={paddings:t,constantValue:n},s={x:a};return O.runKernel(Hi,s,r)}var ga=L({pad_:TO});function NO(e,t,n=0){return $(t.length===2,()=>"Invalid number of paddings. Must be length of 2."),ga(e,[t],n)}var WS=L({pad1d_:NO});function CO(e,t,n=0){return $(t.length===2&&t[0].length===2&&t[1].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),ga(e,t,n)}var VS=L({pad2d_:CO});function _O(e,t,n=0){return $(t.length===3&&t[0].length===2&&t[1].length===2&&t[2].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),ga(e,t,n)}var US=L({pad3d_:_O});function EO(e,t,n=0){return $(t.length===4&&t[0].length===2&&t[1].length===2&&t[2].length===2&&t[3].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),ga(e,t,n)}var GS=L({pad4d_:EO});function AO(e,t,n){let a=_(e,"x","spaceToBatchND");$(a.rank>=1+t.length,()=>`input rank ${a.rank} should be > than [blockShape] ${t.length}`),$(n.length===t.length,()=>`paddings.shape[0] ${n.length} must be equal to [blockShape] ${t.length}`),$(a.shape.reduce((i,o,l)=>l>0&&l<=t.length?i&&(o+n[l-1][0]+n[l-1][1])%t[l-1]===0:i,!0),()=>`input spatial dimensions ${a.shape.slice(1)} with paddings ${n.toString()} must be divisible by blockShapes ${t.toString()}`);let r={x:a},s={blockShape:t,paddings:n};return O.runKernel(mu,r,s)}var Rc=L({spaceToBatchND_:AO});function $O(e,t,n,a,r,s,i){r==null&&(r=[1,1]),s==null&&(s=1),a===0&&(a="valid");let o=_(e,"x","maxPool"),l=o,u=!1;o.rank===3&&(u=!0,l=B(o,[1,o.shape[0],o.shape[1],o.shape[2]])),$(lr(s,r),()=>`Error in pool: Either strides or dilations must be 1. Got strides ${s} and dilations '${r}'`);let p=vS(l.shape,t,s,r,a),d=[p.dilationHeight,p.dilationWidth],c;a==="same"?c=DO([p.filterHeight,p.filterWidth],d):c=[[0,0],[0,0]];let h=d[0]===1&&d[1]===1,[m,f]=FO([p.inHeight,p.inWidth],d,c),g=h?a:"valid",b=h?l:Rc(l,d,m),y=(n==="avg"?()=>fa(b,t,s,g,i):()=>Dt(b,t,s,g,i))(),x=h?y:_c(y,d,f);return u?B(x,[x.shape[1],x.shape[2],x.shape[3]]):x}function FO(e,t,n){let a=n.map(p=>p[0]),r=n.map(p=>p[1]),s=e.concat(a,r),i=t.map((p,d)=>(p-s[d]%p)%p),o=r.map((p,d)=>p+i[d]),l=t.map((p,d)=>[a[d],o[d]]),u=t.map((p,d)=>[0,i[d]]);return[l,u]}function DO(e,t){let n=e.map((s,i)=>s+(s-1)*(t[i]-1)).map(s=>s-1),a=n.map(s=>Math.floor(s/2)),r=n.map((s,i)=>s-a[i]);return n.map((s,i)=>[a[i],r[i]])}var Tv=L({pool_:$O});function RO(e,t){let n=_(e,"x","prelu"),a=_(t,"alpha","prelu"),r={x:n,alpha:a};return O.runKernel(qi,r)}var Mc=L({prelu_:RO});function MO(e,t=null,n=!1){let a=_(e,"x","prod");a.dtype==="bool"&&(a=oe(a,"int32"));let r={x:a},s={axis:t,keepDims:n};return O.runKernel(Ki,r,s)}var Nv=L({prod_:MO});function PO(e,t,n,a){let r=e.map((p,d)=>_(p,`tensors${d}`,"raggedGather","int32")),s=_(t,"paramsDenseValues","raggedGather"),i=_(n,"indices","raggedGather","int32"),o={paramsNestedSplits:r,paramsDenseValues:s,indices:i},l={outputRaggedRank:a},u=O.runKernel(bm,o,l);return{outputNestedSplits:u.slice(0,u.length-1),outputDenseValues:u[u.length-1]}}var HS=L({raggedGather_:PO});function OO(e,t,n,a,r){let s=_(e,"shape","raggedTensorToTensor","int32"),i=_(t,"values","raggedTensorToTensor"),o=_(n,"defaultValue","raggedTensorToTensor",i.dtype),l=a.map((d,c)=>_(d,`tensors${c}`,"raggedTensorToTensor","int32")),u={shape:s,values:i,defaultValue:o,rowPartitionTensors:l},p={rowPartitionTypes:r};return O.runKernel(ym,u,p)}var jS=L({raggedTensorToTensor_:OO});function LO(e,t,n){let a=mt(e),r=null;if(n==null||n==="float32")r=new Float32Array(a);else if(n==="int32")r=new Int32Array(a);else if(n==="bool")r=new Uint8Array(a);else throw new Error(`Unknown data type ${n}`);for(let s=0;s=1||s===0);let i=Math.sqrt(-2*Math.log(s)/s);e=this.mean+this.stdDev*a*i,t=this.mean+this.stdDev*r*i,(!this.truncated||this.isValidTruncated(e))&&(n=!0)}return(!this.truncated||this.isValidTruncated(t))&&(this.nextVal=this.convertValue(t)),this.convertValue(e)}convertValue(e){return this.dtype==null||this.dtype==="float32"?e:Math.round(e)}isValidTruncated(e){return e<=this.upper&&e>=this.lower}},zO=class{constructor(e,t,n,a){this.alpha=e,this.beta=1/t,this.dtype=n;let r=a||Math.random();this.randu=Cv.alea(r.toString()),this.randn=new _v(0,1,n,!1,this.randu()),e<1?this.d=e+2/3:this.d=e-1/3,this.c=1/Math.sqrt(9*this.d)}nextValue(){let e,t,n,a,r,s;for(;;){do a=this.randn.nextValue(),s=1+this.c*a;while(s<=0);if(s*=s*s,e=a*a,t=1-.331*e*e,n=.5*e+this.d*(1-s+Math.log(s)),r=this.randu(),rthis.dtype==null||this.dtype==="float32",this.min=e,this.range=t-e,this.dtype=n,a==null&&(a=Math.random()),typeof a=="number"&&(a=a.toString()),!this.canReturnFloat()&&this.range<=1)throw new Error(`The difference between ${e} - ${t} <= 1 and dtype is not float`);this.random=Cv.alea(a)}convertValue(e){return this.canReturnFloat()?e:Math.round(e)}nextValue(){return this.convertValue(this.min+this.range*this.random())}};function WO(e,t,n=1,a="float32",r){if(n==null&&(n=1),a==null&&(a="float32"),a!=="float32"&&a!=="int32")throw new Error(`Unsupported data type ${a}`);let s=new zO(t,n,a,r),i=Pe(e,a);for(let o=0;o`Error in reverse1D: x must be rank 1 but got rank ${t.rank}.`),ma(t,0)}var YS=L({reverse1d_:XO});function YO(e,t){let n=_(e,"x","reverse");return $(n.rank===2,()=>`Error in reverse2D: x must be rank 2 but got rank ${n.rank}.`),ma(n,t)}var ZS=L({reverse2d_:YO});function ZO(e,t){let n=_(e,"x","reverse");return $(n.rank===3,()=>`Error in reverse3D: x must be rank 3 but got rank ${n.rank}.`),ma(n,t)}var JS=L({reverse3d_:ZO});function JO(e,t){let n=_(e,"x","reverse");return $(n.rank===4,()=>`Error in reverse4D: x must be rank 4 but got rank ${n.rank}.`),ma(n,t)}var QS=L({reverse4d_:JO});function QO(e){let t={x:_(e,"x","round")};return O.runKernel(eo,t)}var Um=L({round_:QO});function e3(e){let t={x:_(e,"x","rsqrt","float32")};return O.runKernel(to,t)}var Gm=L({rsqrt_:e3});function t3(e){let t={x:_(e,"x","selu")};return O.runKernel(uu,t)}var Hm=L({selu_:t3});function n3(e,t,n,a,r,s=[1,1],i="NHWC"){let o=_(e,"x","separableConv2d"),l=_(t,"depthwiseFilter","separableConv2d"),u=_(n,"pointwiseFilter","separableConv2d"),p=o,d=!1;if(o.rank===3&&(d=!0,p=B(o,[1,o.shape[0],o.shape[1],o.shape[2]])),i==="NCHW")throw new Error("separableConv2d currently does not support dataFormat NCHW; only NHWC is supported");$(p.rank===4,()=>`Error in separableConv2d: input must be rank 4, but got rank ${p.rank}.`),$(l.rank===4,()=>`Error in separableConv2d: depthwise filter must be rank 4, but got rank ${l.rank}.`),$(u.rank===4,()=>`Error in separableConv2d: pointwise filter must be rank 4, but got rank ${l.rank}.`),$(u.shape[0]===1,()=>`Error in separableConv2d: the first dimension of pointwise filter must be 1, but got ${u.shape[0]}.`),$(u.shape[1]===1,()=>`Error in separableConv2d: the second dimension of pointwise filter must be 1, but got ${u.shape[1]}.`);let c=l.shape[2],h=l.shape[3];$(u.shape[2]===c*h,()=>`Error in separableConv2d: the third dimension of pointwise filter must be ${c*h}, but got ${u.shape[2]}.`);let m=bs(p,l,a,r,i,s),f=$t(m,u,1,"valid",i);return d?B(f,[f.shape[1],f.shape[2],f.shape[3]]):f}var vs=L({separableConv2d_:n3});async function a3(e,t){let n=_(e,"x","setdiff1d"),a=_(t,"y","setdiff1d");$(n.dtype===a.dtype,()=>`x and y should have the same dtype, but got x (${n.dtype}) and y (${a.dtype}).`),$(n.rank===1,()=>`x should be 1D tensor, but got x (${n.shape}).`),$(a.rank===1,()=>`y should be 1D tensor, but got y (${a.shape}).`);let r=await n.data(),s=await a.data(),i=new Set(s),o=0;for(let p=0;p`slice1d expects a rank-1 tensor, but got a rank-${a.rank} tensor`),We(a,[t],[n])}var Pc=L({slice1d_:o3});function l3(e,t,n){let a=_(e,"x","slice2d");return $(a.rank===2,()=>`slice2d expects a rank-2 tensor, but got a rank-${a.rank} tensor`),We(a,t,n)}var Km=L({slice2d_:l3});function u3(e,t,n){let a=_(e,"x","slice3d");return $(a.rank===3,()=>`slice3d expects a rank-3 tensor, but got a rank-${a.rank} tensor`),We(a,t,n)}var mo=L({slice3d_:u3});function p3(e,t,n){let a=_(e,"x","slice4d");return $(a.rank===4,()=>`slice4d expects a rank-4 tensor, but got a rank-${a.rank} tensor`),We(a,t,n)}var il=L({slice4d_:p3});function c3(e,t=-1){let n=_(e,"logits","softmax","float32");if(t===-1&&(t=n.rank-1),t!==n.rank-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${n.rank} and dim was ${t}`);let a={logits:n},r={dim:t};return O.runKernel(io,a,r)}var ja=L({softmax_:c3});function d3(e){$(e.dtype==="complex64",()=>`The dtype for tf.spectral.fft() must be complex64 but got ${e.dtype}.`);let t={input:e};return O.runKernel(lm,t)}var Oc=L({fft_:d3});function h3(e){$(e.dtype==="complex64",()=>`The dtype for tf.spectral.ifft() must be complex64 but got ${e.dtype}.`);let t={input:e};return O.runKernel(um,t)}var ol=L({ifft_:h3});function m3(e){let t=e.shape[e.shape.length-1],n=e.size/t,a;if(t<=2){let r=B(e,[n,t]);a=ol(r)}else{let r=[n,2*(t-1)],s=B(rl(e),[n,t]),i=B(Tc(e),[n,t]),o=ma(We(s,[0,1],[n,t-2]),1),l=z(ma(We(i,[0,1],[n,t-2]),1),ye(-1)),u=Ze([s,o],1),p=Ze([i,l],1),d=B(Cr(u,p),[r[0],r[1]]);a=ol(d)}if(a=rl(a),e.rank===3&&e.shape[0]!==0){let r=a,s=e.shape[0];a=B(a,[s,a.shape[0]/s,a.shape[1]]),r.dispose()}return a}var Xm=L({irfft_:m3});function f3(e,t,n=0){let a={x:_(e,"x","split")},r={numOrSizeSplits:t,axis:n};return O.runKernel(fu,a,r)}var Ln=L({split_:f3});function g3(e,t){$(e.dtype==="float32",()=>`The dtype for rfft() must be real value but got ${e.dtype}`);let n=e.shape[e.shape.length-1],a=e.size/n,r;if(t!=null&&t0),f=e.shape.map(g=>g);f[e.shape.length-1]=t,r=We(e,m,f),n=t}else if(t!=null&&t>n){let m=e.shape.map(f=>f);m[e.shape.length-1]=t-n,r=Ze([e,It(m)],e.shape.length-1),n=t}else r=e;let s=je(r),i=B(Cr(r,s),[a,n]),o=Oc(i),l=Math.floor(n/2)+1,u=rl(o),p=Tc(o),d=Ln(u,[l,n-l],u.shape.length-1),c=Ln(p,[l,n-l],p.shape.length-1),h=r.shape.slice();return h[r.shape.length-1]=l,B(Cr(d[0],c[0]),h)}var Lc=L({rfft_:g3});function b3(e,t){let n=_(e,"a","squaredDifference"),a=_(t,"b","squaredDifference");[n,a]=_t(n,a),lt(n.shape,a.shape);let r={a:n,b:a},s={};return O.runKernel(oo,r,s)}var Ym=L({squaredDifference_:b3});function y3(e,t){let n=_(e,"x","squeeze","string_or_numeric");return B(n,fI(n.shape,t).newShape)}var ws=L({squeeze_:y3});function x3(e,t=0){let n=Up(e,"tensors","stack","string_or_numeric");$(n.length>=1,()=>"Pass at least one tensor to tf.stack"),n.length>0&&$(t<=n[0].rank,()=>"Axis must be <= rank of the tensor");let a=n,r={axis:t};return O.runKernel(ru,a,r)}var Ft=L({stack_:x3});function v3(e,t=0){let n={x:_(e,"x","step")},a={alpha:t};return O.runKernel(hs,n,a)}var fo=L({step_:v3});function w3(e,t,n,a,r=0,s=0,i=0,o=0,l=0){let u={x:_(e,"x","stridedSlice","string_or_numeric")},p={begin:t,end:n,strides:a,beginMask:r,endMask:s,ellipsisMask:i,newAxisMask:o,shrinkAxisMask:l};return O.runKernel(bu,u,p)}var $v=L({stridedSlice_:w3});function k3(e){let t={x:_(e,"x","tan","float32")};return O.runKernel(uo,t)}var Fv=L({tan_:k3});function Ke(e,t){hi(e);let n=sr(e,t);if(n.length!==1)throw new Error("tensor1d() requires values to be a flat/TypedArray");return ms(e,null,n,t)}function Ca(e,t,n){if(hi(e),t!=null&&t.length!==2)throw new Error("tensor2d() requires shape to have two numbers");let a=sr(e,n);if(a.length!==2&&a.length!==1)throw new Error("tensor2d() requires values to be number[][] or flat/TypedArray");if(a.length===1&&t==null)throw new Error("tensor2d() requires shape to be provided when `values` are a flat/TypedArray");return ms(e,t,a,n)}function Aa(e,t,n){if(hi(e),t!=null&&t.length!==4)throw new Error("tensor4d() requires shape to have four numbers");let a=sr(e,n);if(a.length!==4&&a.length!==1)throw new Error("tensor4d() requires values to be number[][][][] or flat/TypedArray");if(a.length===1&&t==null)throw new Error("tensor4d() requires shape to be provided when `values` are a flat array");return ms(e,t,a,n)}function tT(e,t,n){if(hi(e),t!=null&&t.length!==5)throw new Error("tensor5d() requires shape to have five numbers");let a=sr(e,n);if(a.length!==5&&a.length!==1)throw new Error("tensor5d() requires values to be number[][][][][] or flat/TypedArray");if(a.length===1&&t==null)throw new Error("tensor5d() requires shape to be provided when `values` are a flat array");return ms(e,t,a,n)}function nT(e,t,n){if(hi(e),t!=null&&t.length!==6)throw new Error("tensor6d() requires shape to have six numbers");let a=sr(e,n);if(a.length!==6&&a.length!==1)throw new Error("tensor6d() requires values to be number[][][][][][] or flat/TypedArray");if(a.length===1&&t==null)throw new Error("tensor6d() requires shape to be provided when `values` are a flat array");return t=t||a,ms(e,t,a,n)}function I3(e,t=1,n=!0){let a=_(e,"x","topk");if(a.rank===0)throw new Error("topk() expects the input to be of rank 1 or higher");let r=a.shape[a.shape.length-1];if(t<0)throw new Error(`'k' passed to topk() must be >= 0 but got ${t}`);if(t>r)throw new Error(`'k' passed to topk() must be <= the last dimension (${r}) but got ${t}`);let s={x:a},i={k:t,sorted:n},[o,l]=O.runKernel(yu,s,i);return{values:o,indices:l}}var Dv=L({topk_:I3});function S3(e,t=0,n=1,a,r){if(a!=null&&a==="bool")throw new Error("Unsupported data type $ { dtype }");let s=new _v(t,n,a,!0,r),i=Pe(e,a);for(let o=0;o0,()=>"The input tensor must be at least 1D");let a={x:n},r={axis:t},[s,i]=O.runKernel(Sm,a,r);return{values:s,indices:i}}var Rv=L({unique_:T3});function N3(e,t,n){let a=_(e,"x","unsortedSegmentSum"),r=_(t,"segmentIds","unsortedSegmentSum","int32");$(el(n),()=>"numSegments must be of dtype int");let s={x:a,segmentIds:r},i={numSegments:n};return O.runKernel(xc,s,i)}var Jm=L({unsortedSegmentSum_:N3});function C3(e,t=0){let n=_(e,"x","unstack","string_or_numeric");$(t>=-n.shape.length&&t`Axis = ${t} is not in [-${n.shape.length}, ${n.shape.length})`);let a={value:n},r={axis:t};return O.runKernel(vu,a,r)}var ct=L({unstack_:C3});function aT(e,t){return Bm(e,t,"right")}function Mv(e,t=!0,n,a){return O.makeVariable(e,t,n,a)}function rT(e,t){let n=[];for(let s=0;s0,()=>"mask cannot be scalar"),In(o.slice(s,s+i),r.shape,"mask's shape must match the first K dimensions of tensor's shape,");let l=1;for(let f=s;f"Shape mismatch in v and x");let l=ye(1),u=pe(l,o),p=z(pe(i,s),u);if(r){$(a!=null,()=>"When using zeroDebias: true, step is required.");let d=_(a,"step","movingAverage");p=he(p,pe(l,_r(o,d)))}return Y(s,p)}var iT=L({movingAverage_:A3});function $3(e,t,n){let a=_(e,"indices","scatterND","int32"),r=_(t,"updates","scatterND");Px(r,a,n);let s={indices:a,updates:r},i={shape:n};return O.runKernel(ou,s,i)}var oT=L({scatterND_:$3});function F3(e,t,n,a){if(e.dtype!=="int32")throw new Error(`tf.sparseToDense() expects the indices to be int32 type, but the dtype was ${e.dtype}.`);if(e.rank>2)throw new Error(`sparseIndices should be a scalar, vector, or matrix, but got shape ${e.shape}.`);let r=e.rank>0?e.shape[0]:1,s=e.rank>1?e.shape[1]:1;if(n.length!==s)throw new Error(`outputShape has incorrect number of elements:, ${n.length}, should be: ${s}.`);let i=t.size;if(!(t.rank===0||t.rank===1&&i===r))throw new Error(`sparseValues has incorrect shape ${t.shape}, should be [] or [${r}]`);if(t.dtype!==a.dtype)throw new Error("sparseValues.dtype must match defaultValues.dtype")}function D3(e,t,n,a=0){let r=_(e,"sparseIndices","sparseToDense","int32"),s=_(t,"sparseValues","sparseToDense","string_or_numeric"),i=_(a,"defaultValue","sparseToDense",s.dtype);F3(r,s,n,i);let o={sparseIndices:r,sparseValues:s,defaultValue:i},l={outputShape:n};return O.runKernel(Im,o,l)}var lT=L({sparseToDense_:D3});function R3(e,t){let n=_(t,"indices","gatherND","int32"),a={params:_(e,"x","gatherND","string_or_numeric"),indices:n};return O.runKernel(Bl,a)}var uT=L({gatherND_:R3});function M3(e,t){if(t==null)return e.shape.slice();if(us(e.shape,t))return t;if(e.shape.length===t.length){let n=[];for(let a=0;a`x has to be a floating point tensor since it's going to be scaled, but got a ${r.dtype} tensor instead.`),$(t>=0&&t<1,()=>`rate must be a float in the range [0, 1), but got ${t}.`),t===0)return e instanceof Te?r.clone():r;let s=M3(r,n),i=1-t,o=he(Nu(Y(Eu(s,0,1,"float32",a),i)),i);return z(r,o)}var Ov=L({dropout_:P3});function Lv(e){return Math.floor(Math.pow(2,Math.ceil(Math.log(e)/Math.log(2))))}function Qm(e,t,n){let a=1-e%2,r=new Float32Array(e);for(let s=0;s1,()=>`inTopK() expects the predictions to be of rank 2 or higher, but got ${a.rank}`),$(a.rank-1===r.rank,()=>`predictions rank should be 1 larger than targets rank, but got predictions rank ${a.rank} and targets rank ${r.rank}`),In(a.shape.slice(0,a.shape.length-1),r.shape,"predictions's shape should be align with the targets' shape, except the last dimension.");let s=a.shape[a.shape.length-1];$(n>0&&n<=s,()=>`'k' passed to inTopK() must be > 0 && <= the predictions last dimension (${s}), but got ${n}`);let i=await a.data(),o=await r.data(),[l,u]=[i.length/s,s],p=gI("bool",l);for(let d=0;dg.value-f.value),p[d]=0;for(let f=0;fB3,depthwiseConv2d:()=>G3,matMul:()=>j3});function L3(e,t,n,a,r,s="NHWC",i){let o=e;e.rank===3&&(o=B(e,[1,e.shape[0],e.shape[1],e.shape[2]]));let l=t;l.rank===3&&(l=B(t,[1,t.shape[0],t.shape[1],t.shape[2]])),$(o.rank===4,()=>`Error in conv2dDerFilter: input must be rank 4, but got shape ${o.shape}.`),$(l.rank===4,()=>`Error in conv2dDerFilter: dy must be rank 4, but got shape ${l.shape}.`),$(n.length===4,()=>`Error in conv2dDerFilter: filterShape must be length 4, but got ${n}.`);let u=s==="NHWC"?o.shape[3]:o.shape[1],p=s==="NHWC"?l.shape[3]:l.shape[1];$(u===n[2],()=>`Error in conv2dDerFilter: depth of input ${u}) must match input depth in filter (${n[2]}.`),$(p===n[3],()=>`Error in conv2dDerFilter: depth of dy (${p}) must match output depth for filter (${n[3]}).`),Sn("conv2dDerFilter",r,i);let d={x:o,dy:l},c={strides:a,pad:r,dataFormat:s,dimRoundingMode:i,filterShape:n};return O.runKernel(Qh,d,c)}var zv=L({conv2DBackpropFilter_:L3});function ef(e,t,n){if(n==null||n==="linear")return e;if(n==="relu")return z(e,fo(t));throw new Error(`Cannot compute gradient for fused activation ${n}.`)}function tf(e,t){let n=t,a=Bt(e.shape,t.shape);return a.length>0&&(n=fe(n,a)),B(n,e.shape)}function nf(e,t,n,a){if(t==="linear")return e;if(t==="relu")return Xe(e);if(t==="elu")return Su(e);if(t==="relu6")return Vm(e);if(t==="prelu")return Mc(e,n);if(t==="leakyrelu")return Ac(e,a);if(t==="sigmoid")return da(e);throw new Error(`Unknown fused activation ${t}.`)}var af=(e,t)=>!(e>0)||t==="linear";function z3({x:e,filter:t,strides:n,pad:a,dataFormat:r="NHWC",dilations:s=[1,1],dimRoundingMode:i,bias:o,activation:l="linear",preluActivationWeights:u,leakyreluAlpha:p}){if(l=l||"linear",af(O.state.gradientDepth,l)===!1){$(r==="NHWC",()=>`Error in fused conv2d: got dataFormat of ${r} but only NHWC is currently supported for the case of gradient depth is 0 and the activation is not linear.`);let T=$t(e,t,n,a,r,s,i);return o!=null&&(T=Y(T,o)),nf(T,l,u,p)}let d=_(e,"x","conv2d","float32"),c=_(t,"filter","conv2d","float32"),h=d,m=!1;d.rank===3&&(m=!0,h=B(d,[1,d.shape[0],d.shape[1],d.shape[2]])),$(h.rank===4,()=>`Error in fused conv2d: input must be rank 4, but got rank ${h.rank}.`),$(c.rank===4,()=>`Error in fused conv2d: filter must be rank 4, but got rank ${c.rank}.`),Sn("fused conv2d",a,i);let f=r==="NHWC"?h.shape[3]:h.shape[1];$(c.shape[2]===f,()=>`Error in conv2d: depth of input (${f}) must match input depth for filter ${c.shape[2]}.`),$(lr(n,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${n} and dilations '${s}'`);let g=Cc(h.shape,c.shape,n,s,a,i),b;o!=null&&(b=_(o,"bias","fused conv2d"),[b]=_t(b,d),r==="NHWC"?lt(g.outShape,b.shape):($(b.shape.length<=1,()=>`Error in fused conv2d: only supports scalar or 1-D Tensor bias for NCHW format but got the bias of rank-${b.shape.length}.`),$(b.shape.length===0||b.shape[0]===g.outChannels||b.shape[0]===1,()=>`Error in fused conv2d: bias shape (${b.shape}) is not compatible with the number of output channels (${g.outChannels})`)));let y;if(u!=null){let T=u.shape;if($(T.length<=1||T.length===3,()=>`Error in fused conv2d: only supports scalar, 1-D Tensor or 3-D Tensor PReLU activation weights but got a tensor of rank-${T.length}.`),T.length===1)$(T[0]===1||T[0]===g.outChannels,()=>`Error in fused conv2d: PReLU activation weights (${T}) is not compatible with the number of output channels (${g.outChannels}).`);else if(T.length===3)try{lt(T,g.outShape)}catch(C){let E=`Error in fused conv2d: PReLU activation weights (${T}) is not compatible with the output shape of the conv2d (${g.outShape}).`;throw Error(E)}y=_(u,"prelu weights","fused conv2d")}let x=(T,C)=>{$(r==="NHWC",()=>`Error in gradient of fused conv2D: got dataFormat of ${r} but only NHWC is currently supported.`);let[E,A,R,F]=C,S=ef(T,R,l);$(ts(s),()=>`Error in gradient of fused conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`);let M=rv(A.shape,S,E,n,a),W=zv(A,S,E.shape,n,a),U=[M,W];if(F!=null){let G=tf(F,S);U.push(G)}return U},w={x:h,filter:c,bias:b,preluActivationWeights:y},I={strides:n,pad:a,dataFormat:r,dilations:s,dimRoundingMode:i,activation:l,leakyreluAlpha:p};return o==null?ir((T,C,E)=>{let A=O.runKernel(Qs,w,I);return E([C,T,A]),m&&(A=B(A,[A.shape[1],A.shape[2],A.shape[3]])),{value:A,gradFunc:x}})(h,c):ir((T,C,E,A)=>{let R=O.runKernel(Qs,w,I);return A([C,T,R,E]),m&&(R=B(R,[R.shape[1],R.shape[2],R.shape[3]])),{value:R,gradFunc:x}})(h,c,b)}var B3=L({fusedConv2d_:z3});function W3(e,t,n,a,r,s=[1,1],i){let o=e;e.rank===3&&(o=B(e,[1,e.shape[0],e.shape[1],e.shape[2]]));let l=t;l.rank===3&&(l=B(t,[1,t.shape[0],t.shape[1],t.shape[2]]));let u={x:o,dy:l},p={strides:a,pad:r,dimRoundingMode:i,dilations:s,filterShape:n};return O.runKernel(am,u,p)}var cT=L({depthwiseConv2dNativeBackpropFilter_:W3});function V3(e,t,n,a,r,s=[1,1],i){let o=t,l=!1;t.rank===3&&(l=!0,o=B(t,[1,t.shape[0],t.shape[1],t.shape[2]]));let u={dy:o,filter:n},p={strides:a,pad:r,dimRoundingMode:i,dilations:s,inputShape:e},d=O.runKernel(rm,u,p);return l?B(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var dT=L({depthwiseConv2dNativeBackpropInput_:V3});function U3({x:e,filter:t,strides:n,pad:a,dataFormat:r="NHWC",dilations:s=[1,1],dimRoundingMode:i,bias:o,activation:l="linear",preluActivationWeights:u,leakyreluAlpha:p}){if(af(O.state.gradientDepth,l)===!1){let I=bs(e,t,n,a,r,s,i);return o!=null&&(I=Y(I,o)),nf(I,l,u,p)}let d=_(e,"x","depthwiseConv2d","float32"),c=_(t,"filter","depthwiseConv2d","float32"),h=d,m=!1;d.rank===3&&(m=!0,h=B(d,[1,d.shape[0],d.shape[1],d.shape[2]])),$(h.rank===4,()=>`Error in fused depthwiseConv2d: input must be rank 4, but got rank ${h.rank}.`),$(c.rank===4,()=>`Error in fused depthwiseConv2d: filter must be rank 4, but got rank ${c.rank}.`),$(h.shape[3]===c.shape[2],()=>`Error in fused depthwiseConv2d: number of input channels (${h.shape[3]}) must match the inChannels dimension in filter ${c.shape[2]}.`),s==null&&(s=[1,1]),$(lr(n,s),()=>`Error in fused depthwiseConv2d: Either strides or dilations must be 1. Got strides ${n} and dilations '${s}'`),Sn("fused depthwiseConv2d",a,i);let f=Cc(h.shape,c.shape,n,s,a,i,!0),g;o!=null&&(g=_(o,"bias","fused conv2d"),[g]=_t(g,d),lt(f.outShape,g.shape));let b;u!=null&&(b=_(u,"prelu weights","fused depthwiseConv2d"));let y=(I,T)=>{$(ts(s),()=>`Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '${s}'`);let[C,E,A,R]=T,F=ef(I,A,l),S=dT(E.shape,F,C,n,a,s,i),M=cT(E,F,C.shape,n,a,s,i);if(R!=null){let W=tf(g,F);return[S,M,W]}return[S,M]},x={x:h,filter:c,bias:g,preluActivationWeights:b},w={strides:n,pad:a,dataFormat:r,dilations:s,dimRoundingMode:i,activation:l,leakyreluAlpha:p};return o==null?ir((I,T,C)=>{let E=O.runKernel(ei,x,w);return C([T,I,E]),m&&(E=B(E,[E.shape[1],E.shape[2],E.shape[3]])),{value:E,gradFunc:y}})(h,c):ir((I,T,C,E)=>{let A=O.runKernel(ei,x,w);return E([T,I,A,C]),m&&(A=B(A,[A.shape[1],A.shape[2],A.shape[3]])),{value:A,gradFunc:y}})(h,c,g)}var G3=L({fusedDepthwiseConv2d_:U3});function H3({a:e,b:t,transposeA:n=!1,transposeB:a=!1,bias:r,activation:s="linear",preluActivationWeights:i,leakyreluAlpha:o=.2}){if(af(O.state.gradientDepth,s)===!1){let R=Ae(e,t,n,a);return r!=null&&(R=Y(R,r)),nf(R,s,i,o)}let l=_(e,"a","fused matMul"),u=_(t,"b","fused matMul");[l,u]=_t(l,u);let p=n?l.shape[l.rank-2]:l.shape[l.rank-1],d=a?u.shape[u.rank-1]:u.shape[u.rank-2],c=n?l.shape[l.rank-1]:l.shape[l.rank-2],h=a?u.shape[u.rank-2]:u.shape[u.rank-1],m=l.shape.slice(0,-2),f=u.shape.slice(0,-2),g=mt(m),b=mt(f);$(p===d,()=>`Error in fused matMul: inner shapes (${p}) and (${d}) of Tensors with shapes ${l.shape} and ${u.shape} and transposeA=${n} and transposeB=${a} must match.`);let y=lt(l.shape.slice(0,-2),u.shape.slice(0,-2)).concat([c,h]),x=n?B(l,[g,p,c]):B(l,[g,c,p]),w=a?B(u,[b,h,d]):B(u,[b,d,h]),I;r!=null&&(I=_(r,"bias","fused matMul"),[I]=_t(I,l),lt(y,I.shape));let T;i!=null&&(T=_(i,"prelu weights","fused matMul"));let C=(R,F)=>{let[S,M,W,U]=F,G=ef(B(R,W.shape),W,s),q,K;if(!n&&!a?(q=Ae(G,M,!1,!0),K=Ae(S,G,!0,!1)):!n&&a?(q=Ae(G,M,!1,!1),K=Ae(G,S,!0,!1)):n&&!a?(q=Ae(M,G,!1,!0),K=Ae(S,G,!1,!1)):(q=Ae(M,G,!0,!0),K=Ae(G,S,!0,!0)),r!=null){let Z=tf(U,G);return[q,K,Z]}else return[q,K]},E={a:x,b:w,bias:I,preluActivationWeights:T},A={transposeA:n,transposeB:a,activation:s,leakyreluAlpha:o};return r==null?ir((R,F,S)=>{let M=O.runKernel(Js,E,A);return S([R,F,M]),{value:B(M,y),gradFunc:C}})(x,w):ir((R,F,S,M)=>{let W=O.runKernel(Js,E,A);return M([R,F,W,S]),{value:B(W,y),gradFunc:C}})(x,w,I)}var j3=L({fusedMatMul_:H3});function q3(e){return Qm(e,.54,.46)}var K3=L({hammingWindow_:q3});function X3(e){return Qm(e,.5,.5)}var hT=L({hannWindow_:X3});function Y3(e,t,n,a=!1,r=0){let s=0,i=[];for(;s+t<=e.size;)i.push(We(e,s,t)),s+=n;if(a)for(;s`Error in cropAndResize: image must be rank 4,but got rank ${i.rank}.`),$(o.rank===2&&o.shape[1]===4,()=>`Error in cropAndResize: boxes must be have size [${u},4] but had shape ${o.shape}.`),$(l.rank===1&&l.shape[0]===u,()=>`Error in cropAndResize: boxInd must be have size [${u}] but had shape ${o.shape}.`),$(a.length===2,()=>`Error in cropAndResize: cropSize must be of length 2, but got length ${a.length}.`),$(a[0]>=1&&a[1]>=1,()=>`cropSize must be atleast [1,1], but was ${a}`),$(r==="bilinear"||r==="nearest",()=>`method must be bilinear or nearest, but was ${r}`);let p={image:i,boxes:o,boxInd:l},d={method:r,extrapolationValue:s,cropSize:a};return O.runKernel(Fl,p,d)}var eL=L({cropAndResize_:Q3});function tL(e){let t=_(e,"image","flipLeftRight","float32");$(t.rank===4,()=>`Error in flipLeftRight: image must be rank 4,but got rank ${t.rank}.`);let n={image:t};return O.runKernel(Ll,n,{})}var nL=L({flipLeftRight_:tL});function aL(e){let t=_(e,"image","grayscaleToRGB"),n=t.rank-1,a=t.shape[n];$(t.rank>=2,()=>`Error in grayscaleToRGB: images must be at least rank 2, but got rank ${t.rank}.`),$(a===1,()=>`Error in grayscaleToRGB: last dimension of a grayscale image should be size 1, but got size ${a}.`);let r=new Array(t.rank);return r.fill(1,0,n),r[n]=3,Pn(t,r)}var rL=L({grayscaleToRGB_:aL});function sL(e,t,n=0,a=.5){let r=_(e,"image","rotateWithOffset","float32");$(r.rank===4,()=>`Error in rotateWithOffset: image must be rank 4,but got rank ${r.rank}.`);let s={image:r},i={radians:t,fillValue:n,center:a};return O.runKernel(ku,s,i)}var iL=L({rotateWithOffset_:sL});function Au(e,t,n,a,r,s){a==null&&(a=.5),r==null&&(r=Number.NEGATIVE_INFINITY),s==null&&(s=0);let i=e.shape[0];return n=Math.min(n,i),$(0<=a&&a<=1,()=>`iouThreshold must be in [0, 1], but was '${a}'`),$(e.rank===2,()=>`boxes must be a 2D tensor, but was of rank '${e.rank}'`),$(e.shape[1]===4,()=>`boxes must have 4 columns, but 2nd dimension was ${e.shape[1]}`),$(t.rank===1,()=>"scores must be a 1D tensor"),$(t.shape[0]===i,()=>`scores has incompatible shape with boxes. Expected ${i}, but was ${t.shape[0]}`),$(0<=s&&s<=1,()=>`softNmsSigma must be in [0, 1], but was '${s}'`),{maxOutputSize:n,iouThreshold:a,scoreThreshold:r,softNmsSigma:s}}function oL(e,t,n,a=.5,r=Number.NEGATIVE_INFINITY){let s=_(e,"boxes","nonMaxSuppression","float32"),i=_(t,"scores","nonMaxSuppression","float32"),o=Au(s,i,n,a,r);n=o.maxOutputSize,a=o.iouThreshold,r=o.scoreThreshold;let l={maxOutputSize:n,iouThreshold:a,scoreThreshold:r};return O.runKernel(eu,{boxes:s,scores:i},l)}var lL=L({nonMaxSuppression_:oL});function uL(e,t,n){let a=pL(e,t,n),r=a<0?-(a+1):a;e.splice(r,0,t)}function pL(e,t,n){return dL(e,t,n||cL)}function cL(e,t){return e>t?1:e>>1);let o=n(t,e[s]);o>0?a=s+1:(r=s,i=!o)}return i?a:-a-1}function fT(e,t,n,a,r){return Bv(e,t,n,a,r,0)}function gT(e,t,n,a,r,s){return Bv(e,t,n,a,r,0,!1,s,!0)}function bT(e,t,n,a,r,s){return Bv(e,t,n,a,r,s,!0)}function Bv(e,t,n,a,r,s,i=!1,o=!1,l=!1){let u=[];for(let g=0;gr&&u.push({score:t[g],boxIndex:g,suppressBeginIndex:0});u.sort(q1);let p=s>0?-.5/s:0,d=[],c=[];for(;d.length0;){let g=u.pop(),{score:b,boxIndex:y,suppressBeginIndex:x}=g;if(b=x;--I){let T=hL(e,y,d[I]);if(T>=a){w=!0;break}if(g.score=g.score*mL(a,p,T),g.score<=r)break}g.suppressBeginIndex=d.length,w||(g.score===b?(d.push(y),c.push(g.score)):g.score>r&&uL(u,g,q1))}let h=d.length,m=n-h;o&&m>0&&(d.push(...new Array(m).fill(0)),c.push(...new Array(m).fill(0)));let f={selectedIndices:d};return i&&(f.selectedScores=c),l&&(f.validOutputs=h),f}function hL(e,t,n){let a=e.subarray(t*4,t*4+4),r=e.subarray(n*4,n*4+4),s=Math.min(a[0],a[2]),i=Math.min(a[1],a[3]),o=Math.max(a[0],a[2]),l=Math.max(a[1],a[3]),u=Math.min(r[0],r[2]),p=Math.min(r[1],r[3]),d=Math.max(r[0],r[2]),c=Math.max(r[1],r[3]),h=(o-s)*(l-i),m=(d-u)*(c-p);if(h<=0||m<=0)return 0;let f=Math.max(s,u),g=Math.max(i,p),b=Math.min(o,d),y=Math.min(l,c),x=Math.max(b-f,0)*Math.max(y-g,0);return x/(h+m-x)}function mL(e,t,n){let a=Math.exp(t*n*n);return n<=e?a:0}function q1(e,t){return e.score-t.score||e.score===t.score&&t.boxIndex-e.boxIndex}async function fL(e,t,n,a=.5,r=Number.NEGATIVE_INFINITY){let s=_(e,"boxes","nonMaxSuppressionAsync"),i=_(t,"scores","nonMaxSuppressionAsync"),o=Au(s,i,n,a,r);n=o.maxOutputSize,a=o.iouThreshold,r=o.scoreThreshold;let l=await Promise.all([s.data(),i.data()]),u=l[0],p=l[1],{selectedIndices:d}=fT(u,p,n,a,r);return s!==e&&s.dispose(),i!==t&&i.dispose(),Ke(d,"int32")}var gL=fL;function bL(e,t,n,a=.5,r=Number.NEGATIVE_INFINITY,s=0){let i=_(e,"boxes","nonMaxSuppression"),o=_(t,"scores","nonMaxSuppression"),l=Au(i,o,n,a,r,s);n=l.maxOutputSize,a=l.iouThreshold,r=l.scoreThreshold,s=l.softNmsSigma;let u={boxes:i,scores:o},p={maxOutputSize:n,iouThreshold:a,scoreThreshold:r,softNmsSigma:s},d=O.runKernel(nu,u,p);return{selectedIndices:d[0],selectedScores:d[1]}}var yL=L({nonMaxSuppressionWithScore_:bL});async function xL(e,t,n,a=.5,r=Number.NEGATIVE_INFINITY,s=0){let i=_(e,"boxes","nonMaxSuppressionAsync"),o=_(t,"scores","nonMaxSuppressionAsync"),l=Au(i,o,n,a,r,s);n=l.maxOutputSize,a=l.iouThreshold,r=l.scoreThreshold,s=l.softNmsSigma;let u=await Promise.all([i.data(),o.data()]),p=u[0],d=u[1],{selectedIndices:c,selectedScores:h}=bT(p,d,n,a,r,s);return i!==e&&i.dispose(),o!==t&&o.dispose(),{selectedIndices:Ke(c,"int32"),selectedScores:Ke(h)}}var vL=xL;function wL(e,t,n,a=.5,r=Number.NEGATIVE_INFINITY,s=!1){let i=_(e,"boxes","nonMaxSuppression"),o=_(t,"scores","nonMaxSuppression"),l=Au(i,o,n,a,r,null),u=l.maxOutputSize,p=l.iouThreshold,d=l.scoreThreshold,c={boxes:i,scores:o},h={maxOutputSize:u,iouThreshold:p,scoreThreshold:d,padToMaxOutputSize:s},m=O.runKernel(tu,c,h);return{selectedIndices:m[0],validOutputs:m[1]}}var kL=L({nonMaxSuppressionPadded_:wL});async function IL(e,t,n,a=.5,r=Number.NEGATIVE_INFINITY,s=!1){let i=_(e,"boxes","nonMaxSuppressionAsync"),o=_(t,"scores","nonMaxSuppressionAsync"),l=Au(i,o,n,a,r,null),u=l.maxOutputSize,p=l.iouThreshold,d=l.scoreThreshold,[c,h]=await Promise.all([i.data(),o.data()]),{selectedIndices:m,validOutputs:f}=gT(c,h,u,p,d,s);return i!==e&&i.dispose(),o!==t&&o.dispose(),{selectedIndices:Ke(m,"int32"),validOutputs:ye(f,"int32")}}var SL=IL;function TL(e,t,n=!1,a=!1){let r=_(e,"images","resizeBilinear");$(r.rank===3||r.rank===4,()=>`Error in resizeBilinear: x must be rank 3 or 4, but got rank ${r.rank}.`),$(t.length===2,()=>`Error in resizeBilinear: new shape must 2D, but got shape ${t}.`),$(a===!1||n===!1,()=>"Error in resizeBilinear: If halfPixelCenters is true, alignCorners must be false.");let s=r,i=!1;r.rank===3&&(i=!0,s=B(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let[]=t,o={images:s},l={alignCorners:n,halfPixelCenters:a,size:t},u=O.runKernel(Zi,o,l);return i?B(u,[u.shape[1],u.shape[2],u.shape[3]]):u}var yT=L({resizeBilinear_:TL});function NL(e,t,n=!1,a=!1){let r=_(e,"images","resizeNearestNeighbor");$(r.rank===3||r.rank===4,()=>`Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank ${r.rank}.`),$(t.length===2,()=>`Error in resizeNearestNeighbor: new shape must 2D, but got shape ${t}.`),$(r.dtype==="float32"||r.dtype==="int32",()=>"`images` must have `int32` or `float32` as dtype"),$(a===!1||n===!1,()=>"Error in resizeNearestNeighbor: If halfPixelCenters is true, alignCorners must be false.");let s=r,i=!1;r.rank===3&&(i=!0,s=B(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let[]=t,o={images:s},l={alignCorners:n,halfPixelCenters:a,size:t},u=O.runKernel(Yi,o,l);return i?B(u,[u.shape[1],u.shape[2],u.shape[3]]):u}var xT=L({resizeNearestNeighbor_:NL});function CL(e,t="binary",n=!1,a=.5){let r=_(e,"image","threshold"),s=.2989,i=.587,o=.114,l=r.shape[0]*r.shape[1],u=z(Ke([a]),255),p,d,c,h;if($(r.rank===3,()=>`Error in threshold: image must be rank 3,but got rank ${r.rank}.`),$(r.shape[2]===3||r.shape[2]===1,()=>`Error in threshold: image color channel must be equal to 3 or 1but got ${r.shape[2]}.`),$(r.dtype==="int32"||r.dtype==="float32",()=>`Error in dtype: image dtype must be int32 or float32,but got dtype ${r.dtype}.`),$(t==="otsu"||t==="binary",()=>`Method must be binary or otsu, but was ${t}`),r.shape[2]===3){[p,d,c]=Ln(r,[1,1,1],-1);let f=z(p,s),g=z(d,i),b=z(c,o);h=Y(Y(f,g),b)}else h=e;if(t==="otsu"){let f=Jx(oe(Um(h),"int32"),On([]),256);u=_L(f,l)}let m=n?xs(h,u):Vn(h,u);return oe(z(m,255),"int32")}function _L(e,t){let n=Ke([-1]),a=Ke([0]),r=Ke([0]),s,i,o,l,u,p;for(let d=0;d`Error in transform: image must be rank 4,but got rank ${i.rank}.`),$(o.rank===2&&(o.shape[0]===i.shape[0]||o.shape[0]===1)&&o.shape[1]===8,()=>"Error in transform: Input transform should be batch x 8 or 1 x 8"),$(s==null||s.length===2,()=>`Error in transform: outputShape must be [height, width] or null, but got ${s}.`);let l={image:i,transforms:o},u={interpolation:n,fillMode:a,fillValue:r,outputShape:s};return O.runKernel(xu,l,u)}var $L=L({transform_:AL});function FL(e,t,n){$(t%1===0,()=>`bandPart(): numLower must be an integer, got ${t}.`),$(n%1===0,()=>`bandPart(): numUpper must be an integer, got ${n}.`);let a=_(e,"a","bandPart");$(a.rank>=2,()=>`bandPart(): Rank must be at least 2, got ${a.rank}.`);let r=a.shape,[s,i]=a.shape.slice(-2);if(!(t<=s))throw new Error(`bandPart(): numLower (${t}) must not be greater than the number of rows (${s}).`);if(!(n<=i))throw new Error(`bandPart(): numUpper (${n}) must not be greater than the number of columns (${i}).`);t<0&&(t=s),n<0&&(n=i);let o=B(sl(0,s,1,"int32"),[-1,1]),l=sl(0,i,1,"int32"),u=pe(o,l),p=_a(xs(u,ye(+t,"int32")),ys(u,ye(-n,"int32"))),d=It([s,i],a.dtype);return B(Ft(ct(B(a,[-1,s,i])).map(c=>mn(p,c,d))),r)}var DL=L({bandPart_:FL});function RL(e){let t;if(Array.isArray(e)){t=!1,$(e!=null&&e.length>0,()=>"Gram-Schmidt process: input must not be null, undefined, or empty");let r=e[0].shape[0];for(let s=1;s`Gram-Schmidt: Non-unique lengths found in the input vectors: (${e[s].shape[0]} vs. ${r})`)}else t=!0,e=Ln(e,e.shape[0],0).map(r=>ws(r,[0]));$(e.length<=e[0].shape[0],()=>`Gram-Schmidt: Number of vectors (${e.length}) exceeds number of dimensions (${e[0].shape[0]}).`);let n=[],a=e;for(let r=0;r{let s=a[r];if(r>0)for(let i=0;i=2,()=>`qr() requires input tensor to have a rank >= 2, but got rank ${e.rank}`),e.rank===2)return K1(e,t);{let n=e.shape.slice(0,e.shape.length-2).reduce((l,u)=>l*u),a=ct(B(e,[n,e.shape[e.shape.length-2],e.shape[e.shape.length-1]]),0),r=[],s=[];a.forEach(l=>{let[u,p]=K1(l,t);r.push(u),s.push(p)});let i=B(Ft(r,0),e.shape),o=B(Ft(s,0),e.shape);return[i,o]}}function K1(e,t=!1){return O.tidy(()=>{$(e.shape.length===2,()=>`qr2d() requires a 2D Tensor, but got a ${e.shape.length}D Tensor.`);let n=e.shape[0],a=e.shape[1],r=Rm(n),s=ar(e),i=Ca([[1]],[1,1]),o=ar(i),l=n>=a?a:n;for(let u=0;u{let h=We(s,[u,u],[n-u,1]),m=Tu(h),f=We(s,[u,u],[1,1]),g=mn(Vn(f,0),Ca([[-1]]),Ca([[1]])),b=pe(f,z(g,m)),y=he(h,b);y.shape[0]===1?o=ar(i):o=Ze([i,We(y,[1,0],[y.shape[0]-1,y.shape[1]])],0);let x=yt(he(Ae(g,b),m)),w=We(s,[u,0],[n-u,a]),I=z(x,o),T=Ce(o);if(u===0)s=pe(w,Ae(I,Ae(T,w)));else{let A=pe(w,Ae(I,Ae(T,w)));s=Ze([We(s,[0,0],[u,a]),A],0)}let C=Ce(I),E=We(r,[0,u],[n,r.shape[1]-u]);if(u===0)r=pe(E,Ae(Ae(E,o),C));else{let A=pe(E,Ae(Ae(E,o),C));r=Ze([We(r,[0,0],[n,u]),A],1)}return[o,s,r]}),$e([p,d,c])}return!t&&n>a&&(r=We(r,[0,0],[n,a]),s=We(s,[0,0],[a,a])),[r,s]})}var OL=L({qr_:PL}),xn;(function(e){e[e.NONE=0]="NONE",e[e.MEAN=1]="MEAN",e[e.SUM=2]="SUM",e[e.SUM_BY_NONZERO_WEIGHTS=3]="SUM_BY_NONZERO_WEIGHTS"})(xn||(xn={}));function LL(e,t,n=xn.SUM_BY_NONZERO_WEIGHTS){let a=_(e,"losses","computeWeightedLoss"),r=null;t!=null&&(r=_(t,"weights","computeWeightedLoss"));let s=r==null?a:z(a,r);if(n===xn.NONE)return s;if(n===xn.SUM)return fe(s);if(n===xn.MEAN){if(r==null)return Nt(s);{let i=a.size/r.size,o=he(fe(s),fe(r));return i>1?he(o,ye(i)):o}}if(n===xn.SUM_BY_NONZERO_WEIGHTS){if(r==null)return he(fe(s),ye(a.size));{let i=z(r,Yn(a.shape)),o=oe(fe(ii(i,ye(0))),"float32");return he(fe(s),o)}}throw Error(`Unknown reduction: ${n}`)}var Er=L({computeWeightedLoss_:LL});function zL(e,t,n,a=xn.SUM_BY_NONZERO_WEIGHTS){let r=_(e,"labels","absoluteDifference"),s=_(t,"predictions","absoluteDifference"),i=null;n!=null&&(i=_(n,"weights","absoluteDifference")),In(r.shape,s.shape,"Error in absoluteDifference: ");let o=Lt(pe(r,s));return Er(o,i,a)}var BL=L({absoluteDifference_:zL});function WL(e,t,n,a,r=xn.SUM_BY_NONZERO_WEIGHTS){let s=_(e,"labels","cosineDistance"),i=_(t,"predictions","cosineDistance"),o=null;a!=null&&(o=_(a,"weights","cosineDistance")),In(s.shape,i.shape,"Error in cosineDistance: ");let l=ye(1),u=pe(l,fe(z(s,i),n,!0));return Er(u,o,r)}var VL=L({cosineDistance_:WL});function UL(e,t,n,a=xn.SUM_BY_NONZERO_WEIGHTS){let r=_(e,"labels","hingeLoss"),s=_(t,"predictions","hingeLoss"),i=null;n!=null&&(i=_(n,"weights","hingeLoss")),In(r.shape,s.shape,"Error in hingeLoss: ");let o=ye(1);r=pe(z(ye(2),r),o);let l=Xe(pe(o,z(r,s)));return Er(l,i,a)}var GL=L({hingeLoss_:UL});function HL(e,t,n,a=1,r=xn.SUM_BY_NONZERO_WEIGHTS){let s=_(e,"labels","huberLoss"),i=_(t,"predictions","huberLoss"),o=null;n!=null&&(o=_(n,"weights","huberLoss")),In(s.shape,i.shape,"Error in huberLoss: ");let l=ye(a),u=Lt(pe(i,s)),p=_u(u,l),d=pe(u,p),c=Y(z(ye(.5),ot(p)),z(l,d));return Er(c,o,r)}var jL=L({huberLoss_:HL});function qL(e,t,n,a=1e-7,r=xn.SUM_BY_NONZERO_WEIGHTS){let s=_(e,"labels","logLoss"),i=_(t,"predictions","logLoss"),o=null;n!=null&&(o=_(n,"weights","logLoss")),In(s.shape,i.shape,"Error in logLoss: ");let l=ye(1),u=ye(a),p=yt(z(s,Qn(Y(i,u)))),d=z(pe(l,s),Qn(Y(pe(l,i),u))),c=pe(p,d);return Er(c,o,r)}var KL=L({logLoss_:qL});function XL(e,t,n,a=xn.SUM_BY_NONZERO_WEIGHTS){let r=_(e,"labels","meanSquaredError"),s=_(t,"predictions","meanSquaredError"),i=null;n!=null&&(i=_(n,"weights","meanSquaredError")),In(r.shape,s.shape,"Error in meanSquaredError: ");let o=Ym(r,s);return Er(o,i,a)}var YL=L({meanSquaredError_:XL});function ZL(e,t){let n=_(e,"labels","sigmoidCrossEntropyWithLogits"),a=_(t,"logits","sigmoidCrossEntropyWithLogits");In(n.shape,a.shape,"Error in sigmoidCrossEntropyWithLogits: ");let r=Xe(a),s=z(a,n),i=$c(fn(yt(Lt(a))));return Y(pe(r,s),i)}function JL(e,t,n,a=0,r=xn.SUM_BY_NONZERO_WEIGHTS){let s=_(e,"multiClassLabels","sigmoidCrossEntropy"),i=_(t,"logits","sigmoidCrossEntropy"),o=null;if(n!=null&&(o=_(n,"weights","sigmoidCrossEntropy")),In(s.shape,i.shape,"Error in sigmoidCrossEntropy: "),a>0){let u=ye(a),p=ye(1),d=ye(.5);s=Y(z(s,pe(p,u)),z(d,u))}let l=ZL(s,i);return Er(l,o,r)}var QL=L({sigmoidCrossEntropy_:JL});function ez(e,t,n=-1){if(n===-1&&(n=t.rank-1),n!==t.rank-1)throw Error(`Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank ${t.rank} and dim was ${n}`);return ir((a,r,s)=>{let i=Lm(r,[n],!0),o=pe(oe(r,"float32"),i);s([a,o]);let l=yt(z(o,a));return{value:fe(l,[n]),gradFunc:(u,p)=>{let[d,c]=p,h=si(u.shape,[n]);return[z(B(u,h),pe(oe(d,"float32"),fn(c))),z(B(u,h),pe(fn(c),oe(d,"float32")))]}}})(e,t)}function tz(e,t,n,a=0,r=xn.SUM_BY_NONZERO_WEIGHTS){let s=_(e,"onehotLabels","softmaxCrossEntropy"),i=_(t,"logits","softmaxCrossEntropy"),o=null;if(n!=null&&(o=_(n,"weights","softmaxCrossEntropy")),In(s.shape,i.shape,"Error in softmaxCrossEntropy: "),a>0){let u=ye(a),p=ye(1),d=ye(s.shape[1]);s=Y(z(s,pe(p,u)),he(u,d))}let l=ez(s,i);return Er(l,o,r)}var nz=L({softmaxCrossEntropy_:tz});function az(e,t,n,a){let r=_(e,"indices","sparseFillEmptyRows","int32"),s=_(t,"values","sparseFillEmptyRows"),i=_(n,"denseShape","sparseFillEmptyRows","int32"),o=_(a,"defaultValue","sparseFillEmptyRows",s.dtype);if(r.rank!==2)throw new Error(`Indices should be Tensor2D but received shape - ${r.shape}`);if(s.rank!==1)throw new Error(`Values should be Tensor1D but received shape ${s.shape}`);if(i.rank!==1)throw new Error(`Dense shape should be Tensor1D but received shape ${i.shape}`);if(o.rank!==0)throw new Error(`Default value should be a scalar but received shape ${o.shape}`);let l={indices:r,values:s,denseShape:i,defaultValue:o},u=O.runKernel(dc,l);return{outputIndices:u[0],outputValues:u[1],emptyRowIndicator:u[2],reverseIndexMap:u[3]}}var rz=L({sparseFillEmptyRows_:az});function sz(e,t,n){let a=_(e,"inputIndices","sparseReshape","int32"),r=_(t,"inputShape","sparseReshape","int32"),s=_(n,"newShape","sparseReshape","int32");if(a.rank!==2)throw new Error(`Input indices should be Tensor2D but received shape - ${a.shape}`);if(r.rank!==1)throw new Error(`Input shape should be Tensor1D but received shape ${r.shape}`);if(s.rank!==1)throw new Error(`New shape should be Tensor1D but received shape ${s.shape}`);let i={inputIndices:a,inputShape:r,newShape:s},o=O.runKernel(gu,i);return{outputIndices:o[0],outputShape:o[1]}}var iz=L({sparseReshape_:sz});function oz(e,t,n){let a=_(e,"data","sparseSegmentMean"),r=_(t,"indices","sparseSegmentMean","int32"),s=_(n,"segmentIds","sparseSegmentMean","int32");if(a.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.rank!==1)throw new Error(`Indices should be Tensor1D but received shape + ${a.shape}`),$(i%(t*t)===0,()=>`Dimension size must be evenly divisible by ${t*t} but is ${i} for depthToSpace with input shape ${a.shape}`);let o={x:a},l={blockSize:t,dataFormat:n};return O.runKernel(Ml,o,l)}var uv=L({depthToSpace_:xP});function vP(e,t,n,a,r="NHWC",s=[1,1],i){let o=_(e,"x","depthwiseConv2d","float32"),l=_(t,"filter","depthwiseConv2d","float32"),u=o,p=!1;o.rank===3&&(p=!0,u=W(o,[1,o.shape[0],o.shape[1],o.shape[2]])),$(u.rank===4,()=>`Error in depthwiseConv2d: input must be rank 4, but got rank ${u.rank}.`),$(l.rank===4,()=>`Error in depthwiseConv2d: filter must be rank 4, but got rank ${l.rank}.`);let d=r==="NHWC"?u.shape[3]:u.shape[1];$(d===l.shape[2],()=>`Error in depthwiseConv2d: number of input channels (${d}) must match the inChannels dimension in filter ${l.shape[2]}.`),Tn("depthwiseConv2d",a,i);let c={x:u,filter:l},h={strides:n,pad:a,dataFormat:r,dilations:s,dimRoundingMode:i},m=O.runKernel(Ti,c,h);return p?W(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var ys=L({depthwiseConv2d_:vP});function wP(e){let t={x:_(e,"x","diag")};return O.runKernel(im,t)}var DS=L({diag_:wP});function kP(e,t,n,a,r=[1,1],s="NHWC"){let i=_(e,"x","dilation2d"),o=_(t,"filter","dilation2d");$(i.rank===3||i.rank===4,()=>`Error in dilation2d: input must be rank 3 or 4, but got rank ${i.rank}.`),$(o.rank===3,()=>`Error in dilation2d: filter must be rank 3, but got rank ${o.rank}.`),$(s==="NHWC",()=>`Error in dilation2d: Only NHWC is currently supported, but got dataFormat of ${s}`);let l=i,u=!1;i.rank===3&&(l=W(i,[1,i.shape[0],i.shape[1],i.shape[2]]),u=!0);let p={x:l,filter:o},d={strides:n,pad:a,dilations:r},c=O.runKernel(uc,p,d);return u?W(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var pv=L({dilation2d_:kP});function IP(e,t){let n=_(e,"a","equal","string_or_numeric"),a=_(t,"b","equal","string_or_numeric");[n,a]=_t(n,a),lt(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(Ol,r)}var Qn=L({equal_:IP});function SP(e,t,n){let a=_(t,"a","where"),r=_(n,"b","where"),s=_(e,"condition","where","bool"),i=lt(lt(s.shape,a.shape),r.shape),o=Ks(s,i),l=Ks(a,i),u=Ks(r,i),p={condition:o,t:l,e:u};return O.runKernel(pu,p)}var mn=L({where_:SP});function TP(e){let t={x:_(e,"x","zerosLike")};return O.runKernel(Iu,t)}var qe=L({zerosLike_:TP});function NP(e,t){let n=_(e,"a","div"),a=_(t,"b","div");[n,a]=_t(n,a);let r=he(n,a),s=qe(r),i=Qn(a,s);return mn(i,s,r)}var cv=L({divNoNan_:NP});function CP(e,t){let n=_(e,"t1","dot"),a=_(t,"t2","dot");$((n.rank===1||n.rank===2)&&(a.rank===1||a.rank===2),()=>`Error in dot: inputs must all be rank 1 or 2, but got ranks ${n.rank} and ${a.rank}.`);let r=n.rank===1?n.size:n.shape[1],s=a.rank===1?a.size:a.shape[0];if($(r===s,()=>`Error in dot: inner dimensions of inputs must match, but got ${r} and ${s}.`),n.rank===1&&a.rank===1){let i=W(n,[1,-1]),o=W(a,[-1,1]),l=Fe(i,o);return W(l,[])}else if(n.rank===1&&a.rank===2){let i=W(n,[1,-1]),o=W(a,[a.shape[0],a.shape[1]]),l=Fe(i,o);return W(l,[l.size])}else if(n.rank===2&&a.rank===1){let i=W(a,[-1,1]),o=Fe(n,i);return W(o,[o.size])}else{let i=W(a,[a.shape[0],a.shape[1]]);return Fe(n,i)}}var dv=L({dot_:CP});function _P(e,...t){let n=t.map((r,s)=>_(r,`tensors${s}`,"einsum")),a={equation:e};return O.runKernel(om,n,a)}var RS=L({einsum_:_P});function EP(e){let t={x:_(e,"x","elu","float32")};return O.runKernel(Ci,t)}var Nu=L({elu_:EP});function AP(e){let t=_(e,"x","erf");$(t.dtype==="int32"||t.dtype==="float32",()=>"Input dtype must be `int32` or `float32`."),t.dtype==="int32"&&(t=oe(t,"float32"));let n={x:t};return O.runKernel(Pl,n)}var hv=L({erf_:AP});function mv(e,t){for(let n=0;ne[s]);return[n,r]}function si(e,t){let n=t.map(a=>1);return MS(e,n,t)}function $P(e,t,n){$(mv(t,n),()=>`${e} supports only inner-most axes for now. Got axes ${t} and rank-${n} input.`)}function OS(e,t){if(mv(e,t))return null;let n=[];for(let a=0;an.push(a)),n}function fv(e){return e.map((t,n)=>[n,t]).sort((t,n)=>t[1]-n[1]).map(t=>t[0])}function FP(e,t){let n=[];for(let a=t-e;a"Axis must be <= rank of the tensor");let a={input:n},r={dim:t};return O.runKernel(Ll,a,r)}var Zt=L({expandDims_:VP});function UP(e){let t={x:_(e,"x","expm1")};return O.runKernel(zl,t)}var bv=L({expm1_:UP});function GP(e,t){let n=_(e,"x","tile","string_or_numeric");$(n.rank===t.length,()=>`Error in transpose: rank of input ${n.rank} must match length of reps ${t}.`);let a={x:n},r={reps:t};return O.runKernel(hs,a,r)}var Ln=L({tile_:GP});function HP(e,t,n,a="float32"){t==null&&(t=e);let r=Pe([e,t],a),s=e<=t?e:t;for(let o=0;o`Error in localResponseNormalization: x must be rank 3 or 4 but got + rank ${s.rank}.`),$(tl(t),()=>`Error in localResponseNormalization: depthRadius must be an integer but got depthRadius ${t}.`);let i=s,o=!1;s.rank===3&&(o=!0,i=W(s,[1,s.shape[0],s.shape[1],s.shape[2]]));let l={x:i},u={depthRadius:t,bias:n,alpha:a,beta:r},p=O.runKernel(cc,l,u);return o?W(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var wv=L({localResponseNormalization_:nO});function aO(e){let t={x:_(e,"x","log","float32")};return O.runKernel(Mi,t)}var ea=L({log_:aO});function rO(e){let t={x:_(e,"x","log1p")};return O.runKernel(Xl,t)}var Dc=L({log1p_:rO});function sO(e){return $(es(e),()=>"The f passed in grad(f) must be a function"),(t,n)=>{let a=_(t,"x","tf.grad","string_or_numeric"),r=n!=null?_(n,"dy","tf.grad"):null;return O.tidy(()=>{let{value:s,grads:i}=O.gradients(()=>e(a),[a],r);return r!=null&&Sn(s.shape,r.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),Lm(i),i[0]})}}function iO(e){return $(es(e),()=>"The f passed in grads(f) must be a function"),(t,n)=>{$(Array.isArray(t),()=>"The args passed in grads(f)(args) must be an array of `Tensor`s or `TensorLike`s");let a=jp(t,"args","tf.grads","string_or_numeric"),r=n!=null?_(n,"dy","tf.grads"):null;return O.tidy(()=>{let{value:s,grads:i}=O.gradients(()=>e(...a),a,r);return r!=null&&Sn(s.shape,r.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Lm(i),i})}}function oO(e){return $(es(e),()=>"The f passed in valueAndGrad(f) must be a function"),(t,n)=>{$(t instanceof Te,()=>"The x passed in valueAndGrad(f)(x) must be a tensor"),$(n==null||n instanceof Te,()=>"The dy passed in valueAndGrad(f)(x, dy) must be a tensor");let{grads:a,value:r}=O.gradients(()=>e(t),[t],n);return Lm(a),{grad:a[0],value:r}}}function lO(e){return $(es(e),()=>"The f passed in valueAndGrads(f) must be a function"),(t,n)=>{$(Array.isArray(t)&&t.every(r=>r instanceof Te),()=>"The args passed in valueAndGrads(f)(args) must be array of tensors"),$(n==null||n instanceof Te,()=>"The dy passed in valueAndGrads(f)(args, dy) must be a tensor");let a=O.gradients(()=>e(...t),t,n);return n!=null&&Sn(a.value.shape,n.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Lm(a.grads),a}}function WS(e,t){$(es(e),()=>"The f passed in variableGrads(f) must be a function"),$(t==null||Array.isArray(t)&&t.every(u=>u instanceof ts),()=>"The varList passed in variableGrads(f, varList) must be an array of variables");let n=t!=null;if(!n){t=[];for(let u in O.registeredVariables)t.push(O.registeredVariables[u])}let a=n?t.filter(u=>!u.trainable):null,r=t.length;t=t.filter(u=>u.trainable),$(t.length>0,()=>`variableGrads() expects at least one of the input variables to be trainable, but none of the ${r} variables is trainable.`);let s=!0,{value:i,grads:o}=O.gradients(e,t,null,s);$(o.some(u=>u!=null),()=>"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize()."),$(i.rank===0,()=>`The f passed in variableGrads(f) must return a scalar, but it returned a rank-${i.rank} tensor`);let l={};return t.forEach((u,p)=>{o[p]!=null&&(l[u.name]=o[p])}),a!=null&&a.forEach(u=>l[u.name]=null),{value:i,grads:l}}function or(e){return O.customGrad(e)}function Lm(e){if(e.filter(t=>t==null).length>0)throw new Error(`Cannot compute gradient of y=f(x) with respect to x. Make sure that + the f you passed encloses all operations that lead from x to y.`)}function uO(e){let t={x:_(e,"x","softplus")};return O.runKernel(fu,t)}var ho=L({softplus_:uO});function pO(e){let t=_(e,"x","logSigmoid");return or(n=>({value:yt(ho(yt(n))),gradFunc:a=>z(a,da(yt(n)))}))(t)}var kv=L({logSigmoid_:pO});function cO(e,t){let n=_(e,"a","sub"),a=_(t,"b","sub");[n,a]=_t(n,a);let r={a:n,b:a};return O.runKernel(lo,r)}var pe=L({sub_:cO});function dO(e,t=-1){let n=_(e,"logits","logSoftmax");if(t===-1&&(t=n.rank-1),t!==n.rank-1)throw Error(`Log Softmax along a non-last dimension is not yet supported. Logits was rank ${n.rank} and axis was ${t}`);return or((a,r)=>{let s=ha(a,t,!0),i=pe(a,s),o=pe(oe(i,"float32"),ea(fe(fn(i),t,!0)));return r([o]),{value:o,gradFunc:(l,u)=>{let[p]=u,d=!0,c=fn(p);return pe(l,z(fe(l,t,d),c))}}})(n)}var zm=L({logSoftmax_:dO});function hO(e,t=null,n=!1){let a=_(e,"x","logSumExp"),r=Aa(t,a.shape),s=ha(a,r,!0),i=pe(a,s),o=fn(i),l=fe(o,r),u=ea(l),p=Y(W(s,u.shape),u);if(n){let d=si(p.shape,r);return W(p,d)}return p}var Wm=L({logSumExp_:hO});function mO(e,t){let n=_(e,"a","logicalAnd","bool"),a=_(t,"b","logicalAnd","bool");lt(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(Yl,r)}var Ea=L({logicalAnd_:mO});function fO(e){let t={x:_(e,"x","logicalNot","bool")};return O.runKernel(Zl,t)}var Rc=L({logicalNot_:fO});function gO(e,t){let n=_(e,"a","logicalOr","bool"),a=_(t,"b","logicalOr","bool");lt(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(Jl,r)}var Bm=L({logicalOr_:gO});function bO(e,t){let n=_(e,"a","logicalXor","bool"),a=_(t,"b","logicalXor","bool");return lt(n.shape,a.shape),Ea(Bm(e,t),Rc(Ea(e,t)))}var Iv=L({logicalXor_:bO}),Hd=2147483648;function yO(e,t,n="left"){let a=_(e,"sortedSequence","searchSorted"),r=_(t,"values","searchSorted"),s=a.shape[a.shape.length-1],i=r.shape[r.shape.length-1],o=W(a,[-1,s]),l=W(r,[-1,i]);if(o.rank<2)throw new Error("Sorted input argument must be at least 2-dimensional");if(o.shape[0]!==l.shape[0])throw new Error("Leading dimension of 'sortedSequence' and 'values' must match.");if(mt(l.shape)>=Hd)throw new Error(`values tensor size must less than ${Hd}`);if(o.shape[1]>=Hd)throw new Error(`trailing dim_size must less than ${Hd} for int32 output type, was ${o.shape[1]}`);let u={sortedSequence:o,values:l},p={side:n};return O.runKernel(Sm,u,p)}var Vm=L({searchSorted_:yO});function BS(e,t){return Vm(e,t,"left")}function xO(e,t,n,a,r){let s=_(e,"x","maxPool"),i=1,o=s,l=!1;s.rank===3&&(l=!0,o=W(s,[1,s.shape[0],s.shape[1],s.shape[2]])),$(o.rank===4,()=>`Error in maxPool: input must be rank 4 but got rank ${o.rank}.`),$(ur(n,i),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${n} and dilations '${i}'`),Tn("maxPool",a,r);let u={x:o},p={filterSize:t,strides:n,pad:a,dimRoundingMode:r},d=O.runKernel(Li,u,p);return l?W(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var Dt=L({maxPool_:xO});function vO(e,t=[1,1,1],n,a,r,s="NDHWC"){let i=_(e,"x","maxPool3d"),o=i,l=!1;i.rank===4&&(l=!0,o=W(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),$(o.rank===5,()=>`Error in maxPool3d: x must be rank 5 but got rank ${o.rank}.`),$(s==="NDHWC",()=>`Error in maxPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),Tn("maxPool3d",a,r);let u={x:o},p={filterSize:t,strides:n,pad:a,dimRoundingMode:r,dataFormat:s},d=O.runKernel(dc,u,p);return l?W(d,[d.shape[1],d.shape[2],d.shape[3],d.shape[4]]):d}var Sv=L({maxPool3d_:vO});function wO(e,t,n,a,r=!1){let s={x:_(e,"x","maxPoolWithArgmax")},i={filterSize:t,strides:n,pad:a,includeBatchInIndex:r},o=O.runKernel(gm,s,i);return{result:o[0],indexes:o[1]}}var VS=L({maxPoolWithArgmax_:wO});function kO(e,t){let n=_(e,"a","maximum"),a=_(t,"b","maximum");[n,a]=_t(n,a),n.dtype==="bool"&&(n=oe(n,"int32"),a=oe(a,"int32")),lt(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(Oi,r)}var pr=L({maximum_:kO});function IO(e,t=null,n=!1){let a={x:_(e,"x","mean")},r={axis:t,keepDims:n};return O.runKernel(zi,a,r)}var Nt=L({mean_:IO});function It(e,t="float32"){if(t==="complex64"){let a=It(e,"float32"),r=It(e,"float32");return Cr(a,r)}let n=Kh(mt(e),t);return O.makeTensor(n,e,t)}function Zn(e,t="float32"){if(t==="complex64"){let a=Zn(e,"float32"),r=It(e,"float32");return Cr(a,r)}let n=vx(mt(e),t);return O.makeTensor(n,e,t)}function US(e,t,{indexing:n="xy"}={}){if(n!=="xy"&&n!=="ij")throw new TypeError(`${n} is not a valid third argument to meshgrid`);if(e===void 0)return[];let a=_(e,"x","meshgrid",e instanceof Te?e.dtype:"float32");if(t===void 0)return[a];let r=_(t,"y","meshgrid",t instanceof Te?t.dtype:"float32"),s=mt(a.shape),i=mt(r.shape);return n==="xy"?(a=W(a,[1,-1]),r=W(r,[-1,1]),[Fe(Zn([i,1],a.dtype),a),Fe(r,Zn([1,s],r.dtype))]):(a=W(a,[-1,1]),r=W(r,[1,-1]),[Fe(a,Zn([1,i],a.dtype)),Fe(Zn([s,1],r.dtype),r)])}function SO(e,t){let n=_(e,"a","minimum"),a=_(t,"b","minimum");[n,a]=_t(n,a),n.dtype==="bool"&&(n=oe(n,"int32"),a=oe(a,"int32")),lt(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(Bi,r)}var Au=L({minimum_:SO});function TO(e,t,n){$(n==="reflect"||n==="symmetric",()=>`Invalid mode. Mode must be either reflect or symmetric. Got ${n}.`);let a=_(e,"x","mirrorPad");if(a.rank===0)throw new Error("mirrorPad(scalar) is not defined. Pass non-scalar to mirrorPad");$(t.length===a.rank,()=>`Padding doesn't match input. Must be ${a.rank}. Got ${t.length}.`);let r=n==="reflect"?1:0;for(let o=0;o"Invalid number of paddings. Must be length of 2 each."),$(t[o][0]>=0&&t[o][0]<=a.shape[o]-r&&t[o][1]>=0&&t[o][1]<=a.shape[o]-r,()=>`Padding in dimension ${o} cannot be greater than or equal to ${a.shape[o]-r} or less than 0 for input of shape ${a.shape}`);let s={paddings:t,mode:n},i={x:a};return O.runKernel(Vi,i,s)}var Tv=L({mirrorPad_:TO});function NO(e,t){let n=_(e,"a","mod"),a=_(t,"b","mod");[n,a]=_t(n,a);let r={a:n,b:a};return O.runKernel(Ql,r)}var Nv=L({mod_:NO});function CO(e,t=null,n=!1){e=_(e,"x","moments");let a=Aa(t,e.shape),r=Nt(e,a,n),s=r.shape;n||(s=si(r.shape,a));let i=ot(pe(oe(e,"float32"),W(r,s))),o=Nt(i,a,n);return{mean:r,variance:o}}var Mc=L({moments_:CO});function _O(e,t,n,a){let r=_(t,"data","multiRNNCell"),s=jp(n,"c","multiRNNCell"),i=jp(a,"h","multiRNNCell"),o=r,l=[];for(let d=0;d2)throw new Error(`Rank of probabilities must be 1 or 2, but is ${i}`);n=n||Math.random();let o={logits:i===1?W(r,[1,-1]):r},l={numSamples:t,seed:n,normalized:a},u=O.runKernel(bm,o,l);return i===1?W(u,[u.size]):u}var HS=L({multinomial_:EO});function AO(e,t){let n=_(e,"a","notEqual","string_or_numeric"),a=_(t,"b","notEqual","string_or_numeric");[n,a]=_t(n,a),lt(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(tu,r)}var ii=L({notEqual_:AO});function $O(e){let t={x:_(e,"x","onesLike")};return O.runKernel(su,t)}var ta=L({onesLike_:$O});function FO(e,t){let n=_(e,"v1","outerProduct"),a=_(t,"v2","outerProduct");$(n.rank===1&&a.rank===1,()=>`Error in outerProduct: inputs must be rank 1, but got ranks ${n.rank} and ${a.rank}.`);let r=W(n,[-1,1]),s=W(a,[1,-1]);return Fe(r,s)}var jS=L({outerProduct_:FO});function DO(e,t,n=0){let a=_(e,"x","pad");if(a.rank===0)throw new Error("pad(scalar) is not defined. Pass non-scalar to pad");let r={paddings:t,constantValue:n},s={x:a};return O.runKernel(Hi,s,r)}var ba=L({pad_:DO});function RO(e,t,n=0){return $(t.length===2,()=>"Invalid number of paddings. Must be length of 2."),ba(e,[t],n)}var qS=L({pad1d_:RO});function MO(e,t,n=0){return $(t.length===2&&t[0].length===2&&t[1].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),ba(e,t,n)}var KS=L({pad2d_:MO});function PO(e,t,n=0){return $(t.length===3&&t[0].length===2&&t[1].length===2&&t[2].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),ba(e,t,n)}var XS=L({pad3d_:PO});function OO(e,t,n=0){return $(t.length===4&&t[0].length===2&&t[1].length===2&&t[2].length===2&&t[3].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),ba(e,t,n)}var YS=L({pad4d_:OO});function LO(e,t,n){let a=_(e,"x","spaceToBatchND");$(a.rank>=1+t.length,()=>`input rank ${a.rank} should be > than [blockShape] ${t.length}`),$(n.length===t.length,()=>`paddings.shape[0] ${n.length} must be equal to [blockShape] ${t.length}`),$(a.shape.reduce((i,o,l)=>l>0&&l<=t.length?i&&(o+n[l-1][0]+n[l-1][1])%t[l-1]===0:i,!0),()=>`input spatial dimensions ${a.shape.slice(1)} with paddings ${n.toString()} must be divisible by blockShapes ${t.toString()}`);let r={x:a},s={blockShape:t,paddings:n};return O.runKernel(gu,r,s)}var Pc=L({spaceToBatchND_:LO});function zO(e,t,n,a,r,s,i){r==null&&(r=[1,1]),s==null&&(s=1),a===0&&(a="valid");let o=_(e,"x","maxPool"),l=o,u=!1;o.rank===3&&(u=!0,l=W(o,[1,o.shape[0],o.shape[1],o.shape[2]])),$(ur(s,r),()=>`Error in pool: Either strides or dilations must be 1. Got strides ${s} and dilations '${r}'`);let p=CS(l.shape,t,s,r,a),d=[p.dilationHeight,p.dilationWidth],c;a==="same"?c=BO([p.filterHeight,p.filterWidth],d):c=[[0,0],[0,0]];let h=d[0]===1&&d[1]===1,[m,f]=WO([p.inHeight,p.inWidth],d,c),g=h?a:"valid",b=h?l:Pc(l,d,m),y=(n==="avg"?()=>ga(b,t,s,g,i):()=>Dt(b,t,s,g,i))(),x=h?y:Ac(y,d,f);return u?W(x,[x.shape[1],x.shape[2],x.shape[3]]):x}function WO(e,t,n){let a=n.map(p=>p[0]),r=n.map(p=>p[1]),s=e.concat(a,r),i=t.map((p,d)=>(p-s[d]%p)%p),o=r.map((p,d)=>p+i[d]),l=t.map((p,d)=>[a[d],o[d]]),u=t.map((p,d)=>[0,i[d]]);return[l,u]}function BO(e,t){let n=e.map((s,i)=>s+(s-1)*(t[i]-1)).map(s=>s-1),a=n.map(s=>Math.floor(s/2)),r=n.map((s,i)=>s-a[i]);return n.map((s,i)=>[a[i],r[i]])}var Cv=L({pool_:zO});function VO(e,t){let n=_(e,"x","prelu"),a=_(t,"alpha","prelu"),r={x:n,alpha:a};return O.runKernel(qi,r)}var Oc=L({prelu_:VO});function UO(e,t=null,n=!1){let a=_(e,"x","prod");a.dtype==="bool"&&(a=oe(a,"int32"));let r={x:a},s={axis:t,keepDims:n};return O.runKernel(Ki,r,s)}var _v=L({prod_:UO});function GO(e,t,n,a){let r=e.map((p,d)=>_(p,`tensors${d}`,"raggedGather","int32")),s=_(t,"paramsDenseValues","raggedGather"),i=_(n,"indices","raggedGather","int32"),o={paramsNestedSplits:r,paramsDenseValues:s,indices:i},l={outputRaggedRank:a},u=O.runKernel(ym,o,l);return{outputNestedSplits:u.slice(0,u.length-1),outputDenseValues:u[u.length-1]}}var ZS=L({raggedGather_:GO});function HO(e,t,n){let a=_(e,"starts","raggedRange"),r=_(t,"limits","raggedRange",a.dtype),s=_(n,"deltas","raggedRange",a.dtype),i={starts:a,limits:r,deltas:s},o=O.runKernel(xm,i);return{rtNestedSplits:o[0],rtDenseValues:o[1]}}var JS=L({raggedRange_:HO});function jO(e,t,n,a,r){let s=_(e,"shape","raggedTensorToTensor","int32"),i=_(t,"values","raggedTensorToTensor"),o=_(n,"defaultValue","raggedTensorToTensor",i.dtype),l=a.map((d,c)=>_(d,`tensors${c}`,"raggedTensorToTensor","int32")),u={shape:s,values:i,defaultValue:o,rowPartitionTensors:l},p={rowPartitionTypes:r};return O.runKernel(vm,u,p)}var QS=L({raggedTensorToTensor_:jO});function qO(e,t,n){let a=mt(e),r=null;if(n==null||n==="float32")r=new Float32Array(a);else if(n==="int32")r=new Int32Array(a);else if(n==="bool")r=new Uint8Array(a);else throw new Error(`Unknown data type ${n}`);for(let s=0;s=1||s===0);let i=Math.sqrt(-2*Math.log(s)/s);e=this.mean+this.stdDev*a*i,t=this.mean+this.stdDev*r*i,(!this.truncated||this.isValidTruncated(e))&&(n=!0)}return(!this.truncated||this.isValidTruncated(t))&&(this.nextVal=this.convertValue(t)),this.convertValue(e)}convertValue(e){return this.dtype==null||this.dtype==="float32"?e:Math.round(e)}isValidTruncated(e){return e<=this.upper&&e>=this.lower}},KO=class{constructor(e,t,n,a){this.alpha=e,this.beta=1/t,this.dtype=n;let r=a||Math.random();this.randu=Ev.alea(r.toString()),this.randn=new Av(0,1,n,!1,this.randu()),e<1?this.d=e+2/3:this.d=e-1/3,this.c=1/Math.sqrt(9*this.d)}nextValue(){let e,t,n,a,r,s;for(;;){do a=this.randn.nextValue(),s=1+this.c*a;while(s<=0);if(s*=s*s,e=a*a,t=1-.331*e*e,n=.5*e+this.d*(1-s+Math.log(s)),r=this.randu(),rthis.dtype==null||this.dtype==="float32",this.min=e,this.range=t-e,this.dtype=n,a==null&&(a=Math.random()),typeof a=="number"&&(a=a.toString()),!this.canReturnFloat()&&this.range<=1)throw new Error(`The difference between ${e} - ${t} <= 1 and dtype is not float`);this.random=Ev.alea(a)}convertValue(e){return this.canReturnFloat()?e:Math.round(e)}nextValue(){return this.convertValue(this.min+this.range*this.random())}};function YO(e,t,n=1,a="float32",r){if(n==null&&(n=1),a==null&&(a="float32"),a!=="float32"&&a!=="int32")throw new Error(`Unsupported data type ${a}`);let s=new KO(t,n,a,r),i=Pe(e,a);for(let o=0;o`Error in reverse1D: x must be rank 1 but got rank ${t.rank}.`),fa(t,0)}var aT=L({reverse1d_:r3});function s3(e,t){let n=_(e,"x","reverse");return $(n.rank===2,()=>`Error in reverse2D: x must be rank 2 but got rank ${n.rank}.`),fa(n,t)}var rT=L({reverse2d_:s3});function i3(e,t){let n=_(e,"x","reverse");return $(n.rank===3,()=>`Error in reverse3D: x must be rank 3 but got rank ${n.rank}.`),fa(n,t)}var sT=L({reverse3d_:i3});function o3(e,t){let n=_(e,"x","reverse");return $(n.rank===4,()=>`Error in reverse4D: x must be rank 4 but got rank ${n.rank}.`),fa(n,t)}var iT=L({reverse4d_:o3});function l3(e){let t={x:_(e,"x","round")};return O.runKernel(eo,t)}var Hm=L({round_:l3});function u3(e){let t={x:_(e,"x","rsqrt","float32")};return O.runKernel(to,t)}var jm=L({rsqrt_:u3});function p3(e){let t={x:_(e,"x","selu")};return O.runKernel(cu,t)}var qm=L({selu_:p3});function c3(e,t,n,a,r,s=[1,1],i="NHWC"){let o=_(e,"x","separableConv2d"),l=_(t,"depthwiseFilter","separableConv2d"),u=_(n,"pointwiseFilter","separableConv2d"),p=o,d=!1;if(o.rank===3&&(d=!0,p=W(o,[1,o.shape[0],o.shape[1],o.shape[2]])),i==="NCHW")throw new Error("separableConv2d currently does not support dataFormat NCHW; only NHWC is supported");$(p.rank===4,()=>`Error in separableConv2d: input must be rank 4, but got rank ${p.rank}.`),$(l.rank===4,()=>`Error in separableConv2d: depthwise filter must be rank 4, but got rank ${l.rank}.`),$(u.rank===4,()=>`Error in separableConv2d: pointwise filter must be rank 4, but got rank ${l.rank}.`),$(u.shape[0]===1,()=>`Error in separableConv2d: the first dimension of pointwise filter must be 1, but got ${u.shape[0]}.`),$(u.shape[1]===1,()=>`Error in separableConv2d: the second dimension of pointwise filter must be 1, but got ${u.shape[1]}.`);let c=l.shape[2],h=l.shape[3];$(u.shape[2]===c*h,()=>`Error in separableConv2d: the third dimension of pointwise filter must be ${c*h}, but got ${u.shape[2]}.`);let m=ys(p,l,a,r,i,s),f=$t(m,u,1,"valid",i);return d?W(f,[f.shape[1],f.shape[2],f.shape[3]]):f}var vs=L({separableConv2d_:c3});async function d3(e,t){let n=_(e,"x","setdiff1d"),a=_(t,"y","setdiff1d");$(n.dtype===a.dtype,()=>`x and y should have the same dtype, but got x (${n.dtype}) and y (${a.dtype}).`),$(n.rank===1,()=>`x should be 1D tensor, but got x (${n.shape}).`),$(a.rank===1,()=>`y should be 1D tensor, but got y (${a.shape}).`);let r=await n.data(),s=await a.data(),i=new Set(s),o=0;for(let p=0;p`slice1d expects a rank-1 tensor, but got a rank-${a.rank} tensor`),Be(a,[t],[n])}var Lc=L({slice1d_:g3});function b3(e,t,n){let a=_(e,"x","slice2d");return $(a.rank===2,()=>`slice2d expects a rank-2 tensor, but got a rank-${a.rank} tensor`),Be(a,t,n)}var Ym=L({slice2d_:b3});function y3(e,t,n){let a=_(e,"x","slice3d");return $(a.rank===3,()=>`slice3d expects a rank-3 tensor, but got a rank-${a.rank} tensor`),Be(a,t,n)}var mo=L({slice3d_:y3});function x3(e,t,n){let a=_(e,"x","slice4d");return $(a.rank===4,()=>`slice4d expects a rank-4 tensor, but got a rank-${a.rank} tensor`),Be(a,t,n)}var ll=L({slice4d_:x3});function v3(e,t=-1){let n=_(e,"logits","softmax","float32");if(t===-1&&(t=n.rank-1),t!==n.rank-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${n.rank} and dim was ${t}`);let a={logits:n},r={dim:t};return O.runKernel(io,a,r)}var Ka=L({softmax_:v3});function w3(e){$(e.dtype==="complex64",()=>`The dtype for tf.spectral.fft() must be complex64 but got ${e.dtype}.`);let t={input:e};return O.runKernel(um,t)}var zc=L({fft_:w3});function k3(e){$(e.dtype==="complex64",()=>`The dtype for tf.spectral.ifft() must be complex64 but got ${e.dtype}.`);let t={input:e};return O.runKernel(pm,t)}var ul=L({ifft_:k3});function I3(e){let t=e.shape[e.shape.length-1],n=e.size/t,a;if(t<=2){let r=W(e,[n,t]);a=ul(r)}else{let r=[n,2*(t-1)],s=W(sl(e),[n,t]),i=W(Cc(e),[n,t]),o=fa(Be(s,[0,1],[n,t-2]),1),l=z(fa(Be(i,[0,1],[n,t-2]),1),ye(-1)),u=Ze([s,o],1),p=Ze([i,l],1),d=W(Cr(u,p),[r[0],r[1]]);a=ul(d)}if(a=sl(a),e.rank===3&&e.shape[0]!==0){let r=a,s=e.shape[0];a=W(a,[s,a.shape[0]/s,a.shape[1]]),r.dispose()}return a}var Zm=L({irfft_:I3});function S3(e,t,n=0){let a={x:_(e,"x","split")},r={numOrSizeSplits:t,axis:n};return O.runKernel(bu,a,r)}var zn=L({split_:S3});function T3(e,t){$(e.dtype==="float32",()=>`The dtype for rfft() must be real value but got ${e.dtype}`);let n=e.shape[e.shape.length-1],a=e.size/n,r;if(t!=null&&t0),f=e.shape.map(g=>g);f[e.shape.length-1]=t,r=Be(e,m,f),n=t}else if(t!=null&&t>n){let m=e.shape.map(f=>f);m[e.shape.length-1]=t-n,r=Ze([e,It(m)],e.shape.length-1),n=t}else r=e;let s=qe(r),i=W(Cr(r,s),[a,n]),o=zc(i),l=Math.floor(n/2)+1,u=sl(o),p=Cc(o),d=zn(u,[l,n-l],u.shape.length-1),c=zn(p,[l,n-l],p.shape.length-1),h=r.shape.slice();return h[r.shape.length-1]=l,W(Cr(d[0],c[0]),h)}var Wc=L({rfft_:T3});function N3(e,t){let n=_(e,"a","squaredDifference"),a=_(t,"b","squaredDifference");[n,a]=_t(n,a),lt(n.shape,a.shape);let r={a:n,b:a},s={};return O.runKernel(oo,r,s)}var Jm=L({squaredDifference_:N3});function C3(e,t){let n=_(e,"x","squeeze","string_or_numeric");return W(n,kI(n.shape,t).newShape)}var ws=L({squeeze_:C3});function _3(e,t=0){let n=jp(e,"tensors","stack","string_or_numeric");$(n.length>=1,()=>"Pass at least one tensor to tf.stack"),n.length>0&&$(t<=n[0].rank,()=>"Axis must be <= rank of the tensor");let a=n,r={axis:t};return O.runKernel(iu,a,r)}var Ft=L({stack_:_3});function E3(e,t=0){let n={x:_(e,"x","step")},a={alpha:t};return O.runKernel(ms,n,a)}var fo=L({step_:E3});function A3(e,t,n,a,r=0,s=0,i=0,o=0,l=0){let u={x:_(e,"x","stridedSlice","string_or_numeric")},p={begin:t,end:n,strides:a,beginMask:r,endMask:s,ellipsisMask:i,newAxisMask:o,shrinkAxisMask:l};return O.runKernel(xu,u,p)}var Dv=L({stridedSlice_:A3});function $3(e){let t={x:_(e,"x","tan","float32")};return O.runKernel(uo,t)}var Rv=L({tan_:$3});function Ke(e,t){hi(e);let n=ir(e,t);if(n.length!==1)throw new Error("tensor1d() requires values to be a flat/TypedArray");return fs(e,null,n,t)}function _a(e,t,n){if(hi(e),t!=null&&t.length!==2)throw new Error("tensor2d() requires shape to have two numbers");let a=ir(e,n);if(a.length!==2&&a.length!==1)throw new Error("tensor2d() requires values to be number[][] or flat/TypedArray");if(a.length===1&&t==null)throw new Error("tensor2d() requires shape to be provided when `values` are a flat/TypedArray");return fs(e,t,a,n)}function $a(e,t,n){if(hi(e),t!=null&&t.length!==4)throw new Error("tensor4d() requires shape to have four numbers");let a=ir(e,n);if(a.length!==4&&a.length!==1)throw new Error("tensor4d() requires values to be number[][][][] or flat/TypedArray");if(a.length===1&&t==null)throw new Error("tensor4d() requires shape to be provided when `values` are a flat array");return fs(e,t,a,n)}function lT(e,t,n){if(hi(e),t!=null&&t.length!==5)throw new Error("tensor5d() requires shape to have five numbers");let a=ir(e,n);if(a.length!==5&&a.length!==1)throw new Error("tensor5d() requires values to be number[][][][][] or flat/TypedArray");if(a.length===1&&t==null)throw new Error("tensor5d() requires shape to be provided when `values` are a flat array");return fs(e,t,a,n)}function uT(e,t,n){if(hi(e),t!=null&&t.length!==6)throw new Error("tensor6d() requires shape to have six numbers");let a=ir(e,n);if(a.length!==6&&a.length!==1)throw new Error("tensor6d() requires values to be number[][][][][][] or flat/TypedArray");if(a.length===1&&t==null)throw new Error("tensor6d() requires shape to be provided when `values` are a flat array");return t=t||a,fs(e,t,a,n)}function F3(e,t=1,n=!0){let a=_(e,"x","topk");if(a.rank===0)throw new Error("topk() expects the input to be of rank 1 or higher");let r=a.shape[a.shape.length-1];if(t<0)throw new Error(`'k' passed to topk() must be >= 0 but got ${t}`);if(t>r)throw new Error(`'k' passed to topk() must be <= the last dimension (${r}) but got ${t}`);let s={x:a},i={k:t,sorted:n},[o,l]=O.runKernel(vu,s,i);return{values:o,indices:l}}var Mv=L({topk_:F3});function D3(e,t=0,n=1,a,r){if(a!=null&&a==="bool")throw new Error("Unsupported data type $ { dtype }");let s=new Av(t,n,a,!0,r),i=Pe(e,a);for(let o=0;o0,()=>"The input tensor must be at least 1D");let a={x:n},r={axis:t},[s,i]=O.runKernel(Nm,a,r);return{values:s,indices:i}}var Pv=L({unique_:R3});function M3(e,t,n){let a=_(e,"x","unsortedSegmentSum"),r=_(t,"segmentIds","unsortedSegmentSum","int32");$(tl(n),()=>"numSegments must be of dtype int");let s={x:a,segmentIds:r},i={numSegments:n};return O.runKernel(wc,s,i)}var ef=L({unsortedSegmentSum_:M3});function P3(e,t=0){let n=_(e,"x","unstack","string_or_numeric");$(t>=-n.shape.length&&t`Axis = ${t} is not in [-${n.shape.length}, ${n.shape.length})`);let a={value:n},r={axis:t};return O.runKernel(ku,a,r)}var ct=L({unstack_:P3});function pT(e,t){return Vm(e,t,"right")}function Ov(e,t=!0,n,a){return O.makeVariable(e,t,n,a)}function cT(e,t){let n=[];for(let s=0;s0,()=>"mask cannot be scalar"),Sn(o.slice(s,s+i),r.shape,"mask's shape must match the first K dimensions of tensor's shape,");let l=1;for(let f=s;f"Shape mismatch in v and x");let l=ye(1),u=pe(l,o),p=z(pe(i,s),u);if(r){$(a!=null,()=>"When using zeroDebias: true, step is required.");let d=_(a,"step","movingAverage");p=he(p,pe(l,_r(o,d)))}return Y(s,p)}var hT=L({movingAverage_:z3});function W3(e,t,n){let a=_(e,"indices","scatterND","int32"),r=_(t,"updates","scatterND");Lx(r,a,n);let s={indices:a,updates:r},i={shape:n};return O.runKernel(uu,s,i)}var mT=L({scatterND_:W3});function B3(e,t,n,a){if(e.dtype!=="int32")throw new Error(`tf.sparseToDense() expects the indices to be int32 type, but the dtype was ${e.dtype}.`);if(e.rank>2)throw new Error(`sparseIndices should be a scalar, vector, or matrix, but got shape ${e.shape}.`);let r=e.rank>0?e.shape[0]:1,s=e.rank>1?e.shape[1]:1;if(n.length!==s)throw new Error(`outputShape has incorrect number of elements:, ${n.length}, should be: ${s}.`);let i=t.size;if(!(t.rank===0||t.rank===1&&i===r))throw new Error(`sparseValues has incorrect shape ${t.shape}, should be [] or [${r}]`);if(t.dtype!==a.dtype)throw new Error("sparseValues.dtype must match defaultValues.dtype")}function V3(e,t,n,a=0){let r=_(e,"sparseIndices","sparseToDense","int32"),s=_(t,"sparseValues","sparseToDense","string_or_numeric"),i=_(a,"defaultValue","sparseToDense",s.dtype);B3(r,s,n,i);let o={sparseIndices:r,sparseValues:s,defaultValue:i},l={outputShape:n};return O.runKernel(Tm,o,l)}var fT=L({sparseToDense_:V3});function U3(e,t){let n=_(t,"indices","gatherND","int32"),a={params:_(e,"x","gatherND","string_or_numeric"),indices:n};return O.runKernel(Vl,a)}var gT=L({gatherND_:U3});function G3(e,t){if(t==null)return e.shape.slice();if(ps(e.shape,t))return t;if(e.shape.length===t.length){let n=[];for(let a=0;a`x has to be a floating point tensor since it's going to be scaled, but got a ${r.dtype} tensor instead.`),$(t>=0&&t<1,()=>`rate must be a float in the range [0, 1), but got ${t}.`),t===0)return e instanceof Te?r.clone():r;let s=G3(r,n),i=1-t,o=he(_u(Y($u(s,0,1,"float32",a),i)),i);return z(r,o)}var zv=L({dropout_:H3});function Wv(e){return Math.floor(Math.pow(2,Math.ceil(Math.log(e)/Math.log(2))))}function tf(e,t,n){let a=1-e%2,r=new Float32Array(e);for(let s=0;s1,()=>`inTopK() expects the predictions to be of rank 2 or higher, but got ${a.rank}`),$(a.rank-1===r.rank,()=>`predictions rank should be 1 larger than targets rank, but got predictions rank ${a.rank} and targets rank ${r.rank}`),Sn(a.shape.slice(0,a.shape.length-1),r.shape,"predictions's shape should be align with the targets' shape, except the last dimension.");let s=a.shape[a.shape.length-1];$(n>0&&n<=s,()=>`'k' passed to inTopK() must be > 0 && <= the predictions last dimension (${s}), but got ${n}`);let i=await a.data(),o=await r.data(),[l,u]=[i.length/s,s],p=II("bool",l);for(let d=0;dg.value-f.value),p[d]=0;for(let f=0;fX3,depthwiseConv2d:()=>Q3,matMul:()=>tL});function q3(e,t,n,a,r,s="NHWC",i){let o=e;e.rank===3&&(o=W(e,[1,e.shape[0],e.shape[1],e.shape[2]]));let l=t;l.rank===3&&(l=W(t,[1,t.shape[0],t.shape[1],t.shape[2]])),$(o.rank===4,()=>`Error in conv2dDerFilter: input must be rank 4, but got shape ${o.shape}.`),$(l.rank===4,()=>`Error in conv2dDerFilter: dy must be rank 4, but got shape ${l.shape}.`),$(n.length===4,()=>`Error in conv2dDerFilter: filterShape must be length 4, but got ${n}.`);let u=s==="NHWC"?o.shape[3]:o.shape[1],p=s==="NHWC"?l.shape[3]:l.shape[1];$(u===n[2],()=>`Error in conv2dDerFilter: depth of input ${u}) must match input depth in filter (${n[2]}.`),$(p===n[3],()=>`Error in conv2dDerFilter: depth of dy (${p}) must match output depth for filter (${n[3]}).`),Tn("conv2dDerFilter",r,i);let d={x:o,dy:l},c={strides:a,pad:r,dataFormat:s,dimRoundingMode:i,filterShape:n};return O.runKernel(em,d,c)}var Bv=L({conv2DBackpropFilter_:q3});function nf(e,t,n){if(n==null||n==="linear")return e;if(n==="relu")return z(e,fo(t));throw new Error(`Cannot compute gradient for fused activation ${n}.`)}function af(e,t){let n=t,a=Wt(e.shape,t.shape);return a.length>0&&(n=fe(n,a)),W(n,e.shape)}function rf(e,t,n,a){if(t==="linear")return e;if(t==="relu")return Xe(e);if(t==="elu")return Nu(e);if(t==="relu6")return Gm(e);if(t==="prelu")return Oc(e,n);if(t==="leakyrelu")return Fc(e,a);if(t==="sigmoid")return da(e);throw new Error(`Unknown fused activation ${t}.`)}var sf=(e,t)=>!(e>0)||t==="linear";function K3({x:e,filter:t,strides:n,pad:a,dataFormat:r="NHWC",dilations:s=[1,1],dimRoundingMode:i,bias:o,activation:l="linear",preluActivationWeights:u,leakyreluAlpha:p}){if(l=l||"linear",sf(O.state.gradientDepth,l)===!1){$(r==="NHWC",()=>`Error in fused conv2d: got dataFormat of ${r} but only NHWC is currently supported for the case of gradient depth is 0 and the activation is not linear.`);let T=$t(e,t,n,a,r,s,i);return o!=null&&(T=Y(T,o)),rf(T,l,u,p)}let d=_(e,"x","conv2d","float32"),c=_(t,"filter","conv2d","float32"),h=d,m=!1;d.rank===3&&(m=!0,h=W(d,[1,d.shape[0],d.shape[1],d.shape[2]])),$(h.rank===4,()=>`Error in fused conv2d: input must be rank 4, but got rank ${h.rank}.`),$(c.rank===4,()=>`Error in fused conv2d: filter must be rank 4, but got rank ${c.rank}.`),Tn("fused conv2d",a,i);let f=r==="NHWC"?h.shape[3]:h.shape[1];$(c.shape[2]===f,()=>`Error in conv2d: depth of input (${f}) must match input depth for filter ${c.shape[2]}.`),$(ur(n,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${n} and dilations '${s}'`);let g=Ec(h.shape,c.shape,n,s,a,i),b;o!=null&&(b=_(o,"bias","fused conv2d"),[b]=_t(b,d),r==="NHWC"?lt(g.outShape,b.shape):($(b.shape.length<=1,()=>`Error in fused conv2d: only supports scalar or 1-D Tensor bias for NCHW format but got the bias of rank-${b.shape.length}.`),$(b.shape.length===0||b.shape[0]===g.outChannels||b.shape[0]===1,()=>`Error in fused conv2d: bias shape (${b.shape}) is not compatible with the number of output channels (${g.outChannels})`)));let y;if(u!=null){let T=u.shape;if($(T.length<=1||T.length===3,()=>`Error in fused conv2d: only supports scalar, 1-D Tensor or 3-D Tensor PReLU activation weights but got a tensor of rank-${T.length}.`),T.length===1)$(T[0]===1||T[0]===g.outChannels,()=>`Error in fused conv2d: PReLU activation weights (${T}) is not compatible with the number of output channels (${g.outChannels}).`);else if(T.length===3)try{lt(T,g.outShape)}catch(C){let E=`Error in fused conv2d: PReLU activation weights (${T}) is not compatible with the output shape of the conv2d (${g.outShape}).`;throw Error(E)}y=_(u,"prelu weights","fused conv2d")}let x=(T,C)=>{$(r==="NHWC",()=>`Error in gradient of fused conv2D: got dataFormat of ${r} but only NHWC is currently supported.`);let[E,A,R,F]=C,S=nf(T,R,l);$(ns(s),()=>`Error in gradient of fused conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`);let M=iv(A.shape,S,E,n,a),B=Bv(A,S,E.shape,n,a),U=[M,B];if(F!=null){let G=af(F,S);U.push(G)}return U},w={x:h,filter:c,bias:b,preluActivationWeights:y},I={strides:n,pad:a,dataFormat:r,dilations:s,dimRoundingMode:i,activation:l,leakyreluAlpha:p};return o==null?or((T,C,E)=>{let A=O.runKernel(Qs,w,I);return E([C,T,A]),m&&(A=W(A,[A.shape[1],A.shape[2],A.shape[3]])),{value:A,gradFunc:x}})(h,c):or((T,C,E,A)=>{let R=O.runKernel(Qs,w,I);return A([C,T,R,E]),m&&(R=W(R,[R.shape[1],R.shape[2],R.shape[3]])),{value:R,gradFunc:x}})(h,c,b)}var X3=L({fusedConv2d_:K3});function Y3(e,t,n,a,r,s=[1,1],i){let o=e;e.rank===3&&(o=W(e,[1,e.shape[0],e.shape[1],e.shape[2]]));let l=t;l.rank===3&&(l=W(t,[1,t.shape[0],t.shape[1],t.shape[2]]));let u={x:o,dy:l},p={strides:a,pad:r,dimRoundingMode:i,dilations:s,filterShape:n};return O.runKernel(rm,u,p)}var yT=L({depthwiseConv2dNativeBackpropFilter_:Y3});function Z3(e,t,n,a,r,s=[1,1],i){let o=t,l=!1;t.rank===3&&(l=!0,o=W(t,[1,t.shape[0],t.shape[1],t.shape[2]]));let u={dy:o,filter:n},p={strides:a,pad:r,dimRoundingMode:i,dilations:s,inputShape:e},d=O.runKernel(sm,u,p);return l?W(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var xT=L({depthwiseConv2dNativeBackpropInput_:Z3});function J3({x:e,filter:t,strides:n,pad:a,dataFormat:r="NHWC",dilations:s=[1,1],dimRoundingMode:i,bias:o,activation:l="linear",preluActivationWeights:u,leakyreluAlpha:p}){if(sf(O.state.gradientDepth,l)===!1){let I=ys(e,t,n,a,r,s,i);return o!=null&&(I=Y(I,o)),rf(I,l,u,p)}let d=_(e,"x","depthwiseConv2d","float32"),c=_(t,"filter","depthwiseConv2d","float32"),h=d,m=!1;d.rank===3&&(m=!0,h=W(d,[1,d.shape[0],d.shape[1],d.shape[2]])),$(h.rank===4,()=>`Error in fused depthwiseConv2d: input must be rank 4, but got rank ${h.rank}.`),$(c.rank===4,()=>`Error in fused depthwiseConv2d: filter must be rank 4, but got rank ${c.rank}.`),$(h.shape[3]===c.shape[2],()=>`Error in fused depthwiseConv2d: number of input channels (${h.shape[3]}) must match the inChannels dimension in filter ${c.shape[2]}.`),s==null&&(s=[1,1]),$(ur(n,s),()=>`Error in fused depthwiseConv2d: Either strides or dilations must be 1. Got strides ${n} and dilations '${s}'`),Tn("fused depthwiseConv2d",a,i);let f=Ec(h.shape,c.shape,n,s,a,i,!0),g;o!=null&&(g=_(o,"bias","fused conv2d"),[g]=_t(g,d),lt(f.outShape,g.shape));let b;u!=null&&(b=_(u,"prelu weights","fused depthwiseConv2d"));let y=(I,T)=>{$(ns(s),()=>`Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '${s}'`);let[C,E,A,R]=T,F=nf(I,A,l),S=xT(E.shape,F,C,n,a,s,i),M=yT(E,F,C.shape,n,a,s,i);if(R!=null){let B=af(g,F);return[S,M,B]}return[S,M]},x={x:h,filter:c,bias:g,preluActivationWeights:b},w={strides:n,pad:a,dataFormat:r,dilations:s,dimRoundingMode:i,activation:l,leakyreluAlpha:p};return o==null?or((I,T,C)=>{let E=O.runKernel(ei,x,w);return C([T,I,E]),m&&(E=W(E,[E.shape[1],E.shape[2],E.shape[3]])),{value:E,gradFunc:y}})(h,c):or((I,T,C,E)=>{let A=O.runKernel(ei,x,w);return E([T,I,A,C]),m&&(A=W(A,[A.shape[1],A.shape[2],A.shape[3]])),{value:A,gradFunc:y}})(h,c,g)}var Q3=L({fusedDepthwiseConv2d_:J3});function eL({a:e,b:t,transposeA:n=!1,transposeB:a=!1,bias:r,activation:s="linear",preluActivationWeights:i,leakyreluAlpha:o=.2}){if(sf(O.state.gradientDepth,s)===!1){let R=Fe(e,t,n,a);return r!=null&&(R=Y(R,r)),rf(R,s,i,o)}let l=_(e,"a","fused matMul"),u=_(t,"b","fused matMul");[l,u]=_t(l,u);let p=n?l.shape[l.rank-2]:l.shape[l.rank-1],d=a?u.shape[u.rank-1]:u.shape[u.rank-2],c=n?l.shape[l.rank-1]:l.shape[l.rank-2],h=a?u.shape[u.rank-2]:u.shape[u.rank-1],m=l.shape.slice(0,-2),f=u.shape.slice(0,-2),g=mt(m),b=mt(f);$(p===d,()=>`Error in fused matMul: inner shapes (${p}) and (${d}) of Tensors with shapes ${l.shape} and ${u.shape} and transposeA=${n} and transposeB=${a} must match.`);let y=lt(l.shape.slice(0,-2),u.shape.slice(0,-2)).concat([c,h]),x=n?W(l,[g,p,c]):W(l,[g,c,p]),w=a?W(u,[b,h,d]):W(u,[b,d,h]),I;r!=null&&(I=_(r,"bias","fused matMul"),[I]=_t(I,l),lt(y,I.shape));let T;i!=null&&(T=_(i,"prelu weights","fused matMul"));let C=(R,F)=>{let[S,M,B,U]=F,G=nf(W(R,B.shape),B,s),q,K;if(!n&&!a?(q=Fe(G,M,!1,!0),K=Fe(S,G,!0,!1)):!n&&a?(q=Fe(G,M,!1,!1),K=Fe(G,S,!0,!1)):n&&!a?(q=Fe(M,G,!1,!0),K=Fe(S,G,!1,!1)):(q=Fe(M,G,!0,!0),K=Fe(G,S,!0,!0)),r!=null){let Z=af(U,G);return[q,K,Z]}else return[q,K]},E={a:x,b:w,bias:I,preluActivationWeights:T},A={transposeA:n,transposeB:a,activation:s,leakyreluAlpha:o};return r==null?or((R,F,S)=>{let M=O.runKernel(Js,E,A);return S([R,F,M]),{value:W(M,y),gradFunc:C}})(x,w):or((R,F,S,M)=>{let B=O.runKernel(Js,E,A);return M([R,F,B,S]),{value:W(B,y),gradFunc:C}})(x,w,I)}var tL=L({fusedMatMul_:eL});function nL(e){return tf(e,.54,.46)}var aL=L({hammingWindow_:nL});function rL(e){return tf(e,.5,.5)}var vT=L({hannWindow_:rL});function sL(e,t,n,a=!1,r=0){let s=0,i=[];for(;s+t<=e.size;)i.push(Be(e,s,t)),s+=n;if(a)for(;s`Error in cropAndResize: image must be rank 4,but got rank ${i.rank}.`),$(o.rank===2&&o.shape[1]===4,()=>`Error in cropAndResize: boxes must be have size [${u},4] but had shape ${o.shape}.`),$(l.rank===1&&l.shape[0]===u,()=>`Error in cropAndResize: boxInd must be have size [${u}] but had shape ${o.shape}.`),$(a.length===2,()=>`Error in cropAndResize: cropSize must be of length 2, but got length ${a.length}.`),$(a[0]>=1&&a[1]>=1,()=>`cropSize must be atleast [1,1], but was ${a}`),$(r==="bilinear"||r==="nearest",()=>`method must be bilinear or nearest, but was ${r}`);let p={image:i,boxes:o,boxInd:l},d={method:r,extrapolationValue:s,cropSize:a};return O.runKernel(Rl,p,d)}var uL=L({cropAndResize_:lL});function pL(e){let t=_(e,"image","flipLeftRight","float32");$(t.rank===4,()=>`Error in flipLeftRight: image must be rank 4,but got rank ${t.rank}.`);let n={image:t};return O.runKernel(Wl,n,{})}var cL=L({flipLeftRight_:pL});function dL(e){let t=_(e,"image","grayscaleToRGB"),n=t.rank-1,a=t.shape[n];$(t.rank>=2,()=>`Error in grayscaleToRGB: images must be at least rank 2, but got rank ${t.rank}.`),$(a===1,()=>`Error in grayscaleToRGB: last dimension of a grayscale image should be size 1, but got size ${a}.`);let r=new Array(t.rank);return r.fill(1,0,n),r[n]=3,Ln(t,r)}var hL=L({grayscaleToRGB_:dL});function mL(e,t,n=0,a=.5){let r=_(e,"image","rotateWithOffset","float32");$(r.rank===4,()=>`Error in rotateWithOffset: image must be rank 4,but got rank ${r.rank}.`);let s={image:r},i={radians:t,fillValue:n,center:a};return O.runKernel(Su,s,i)}var fL=L({rotateWithOffset_:mL});function Fu(e,t,n,a,r,s){a==null&&(a=.5),r==null&&(r=Number.NEGATIVE_INFINITY),s==null&&(s=0);let i=e.shape[0];return n=Math.min(n,i),$(0<=a&&a<=1,()=>`iouThreshold must be in [0, 1], but was '${a}'`),$(e.rank===2,()=>`boxes must be a 2D tensor, but was of rank '${e.rank}'`),$(e.shape[1]===4,()=>`boxes must have 4 columns, but 2nd dimension was ${e.shape[1]}`),$(t.rank===1,()=>"scores must be a 1D tensor"),$(t.shape[0]===i,()=>`scores has incompatible shape with boxes. Expected ${i}, but was ${t.shape[0]}`),$(0<=s&&s<=1,()=>`softNmsSigma must be in [0, 1], but was '${s}'`),{maxOutputSize:n,iouThreshold:a,scoreThreshold:r,softNmsSigma:s}}function gL(e,t,n,a=.5,r=Number.NEGATIVE_INFINITY){let s=_(e,"boxes","nonMaxSuppression","float32"),i=_(t,"scores","nonMaxSuppression","float32"),o=Fu(s,i,n,a,r);n=o.maxOutputSize,a=o.iouThreshold,r=o.scoreThreshold;let l={maxOutputSize:n,iouThreshold:a,scoreThreshold:r};return O.runKernel(nu,{boxes:s,scores:i},l)}var bL=L({nonMaxSuppression_:gL});function yL(e,t,n){let a=xL(e,t,n),r=a<0?-(a+1):a;e.splice(r,0,t)}function xL(e,t,n){return wL(e,t,n||vL)}function vL(e,t){return e>t?1:e>>1);let o=n(t,e[s]);o>0?a=s+1:(r=s,i=!o)}return i?a:-a-1}function kT(e,t,n,a,r){return Vv(e,t,n,a,r,0)}function IT(e,t,n,a,r,s){return Vv(e,t,n,a,r,0,!1,s,!0)}function ST(e,t,n,a,r,s){return Vv(e,t,n,a,r,s,!0)}function Vv(e,t,n,a,r,s,i=!1,o=!1,l=!1){let u=[];for(let g=0;gr&&u.push({score:t[g],boxIndex:g,suppressBeginIndex:0});u.sort(Z1);let p=s>0?-.5/s:0,d=[],c=[];for(;d.length0;){let g=u.pop(),{score:b,boxIndex:y,suppressBeginIndex:x}=g;if(b=x;--I){let T=kL(e,y,d[I]);if(T>=a){w=!0;break}if(g.score=g.score*IL(a,p,T),g.score<=r)break}g.suppressBeginIndex=d.length,w||(g.score===b?(d.push(y),c.push(g.score)):g.score>r&&yL(u,g,Z1))}let h=d.length,m=n-h;o&&m>0&&(d.push(...new Array(m).fill(0)),c.push(...new Array(m).fill(0)));let f={selectedIndices:d};return i&&(f.selectedScores=c),l&&(f.validOutputs=h),f}function kL(e,t,n){let a=e.subarray(t*4,t*4+4),r=e.subarray(n*4,n*4+4),s=Math.min(a[0],a[2]),i=Math.min(a[1],a[3]),o=Math.max(a[0],a[2]),l=Math.max(a[1],a[3]),u=Math.min(r[0],r[2]),p=Math.min(r[1],r[3]),d=Math.max(r[0],r[2]),c=Math.max(r[1],r[3]),h=(o-s)*(l-i),m=(d-u)*(c-p);if(h<=0||m<=0)return 0;let f=Math.max(s,u),g=Math.max(i,p),b=Math.min(o,d),y=Math.min(l,c),x=Math.max(b-f,0)*Math.max(y-g,0);return x/(h+m-x)}function IL(e,t,n){let a=Math.exp(t*n*n);return n<=e?a:0}function Z1(e,t){return e.score-t.score||e.score===t.score&&t.boxIndex-e.boxIndex}async function SL(e,t,n,a=.5,r=Number.NEGATIVE_INFINITY){let s=_(e,"boxes","nonMaxSuppressionAsync"),i=_(t,"scores","nonMaxSuppressionAsync"),o=Fu(s,i,n,a,r);n=o.maxOutputSize,a=o.iouThreshold,r=o.scoreThreshold;let l=await Promise.all([s.data(),i.data()]),u=l[0],p=l[1],{selectedIndices:d}=kT(u,p,n,a,r);return s!==e&&s.dispose(),i!==t&&i.dispose(),Ke(d,"int32")}var TL=SL;function NL(e,t,n,a=.5,r=Number.NEGATIVE_INFINITY,s=0){let i=_(e,"boxes","nonMaxSuppression"),o=_(t,"scores","nonMaxSuppression"),l=Fu(i,o,n,a,r,s);n=l.maxOutputSize,a=l.iouThreshold,r=l.scoreThreshold,s=l.softNmsSigma;let u={boxes:i,scores:o},p={maxOutputSize:n,iouThreshold:a,scoreThreshold:r,softNmsSigma:s},d=O.runKernel(ru,u,p);return{selectedIndices:d[0],selectedScores:d[1]}}var CL=L({nonMaxSuppressionWithScore_:NL});async function _L(e,t,n,a=.5,r=Number.NEGATIVE_INFINITY,s=0){let i=_(e,"boxes","nonMaxSuppressionAsync"),o=_(t,"scores","nonMaxSuppressionAsync"),l=Fu(i,o,n,a,r,s);n=l.maxOutputSize,a=l.iouThreshold,r=l.scoreThreshold,s=l.softNmsSigma;let u=await Promise.all([i.data(),o.data()]),p=u[0],d=u[1],{selectedIndices:c,selectedScores:h}=ST(p,d,n,a,r,s);return i!==e&&i.dispose(),o!==t&&o.dispose(),{selectedIndices:Ke(c,"int32"),selectedScores:Ke(h)}}var EL=_L;function AL(e,t,n,a=.5,r=Number.NEGATIVE_INFINITY,s=!1){let i=_(e,"boxes","nonMaxSuppression"),o=_(t,"scores","nonMaxSuppression"),l=Fu(i,o,n,a,r,null),u=l.maxOutputSize,p=l.iouThreshold,d=l.scoreThreshold,c={boxes:i,scores:o},h={maxOutputSize:u,iouThreshold:p,scoreThreshold:d,padToMaxOutputSize:s},m=O.runKernel(au,c,h);return{selectedIndices:m[0],validOutputs:m[1]}}var $L=L({nonMaxSuppressionPadded_:AL});async function FL(e,t,n,a=.5,r=Number.NEGATIVE_INFINITY,s=!1){let i=_(e,"boxes","nonMaxSuppressionAsync"),o=_(t,"scores","nonMaxSuppressionAsync"),l=Fu(i,o,n,a,r,null),u=l.maxOutputSize,p=l.iouThreshold,d=l.scoreThreshold,[c,h]=await Promise.all([i.data(),o.data()]),{selectedIndices:m,validOutputs:f}=IT(c,h,u,p,d,s);return i!==e&&i.dispose(),o!==t&&o.dispose(),{selectedIndices:Ke(m,"int32"),validOutputs:ye(f,"int32")}}var DL=FL;function RL(e,t,n=!1,a=!1){let r=_(e,"images","resizeBilinear");$(r.rank===3||r.rank===4,()=>`Error in resizeBilinear: x must be rank 3 or 4, but got rank ${r.rank}.`),$(t.length===2,()=>`Error in resizeBilinear: new shape must 2D, but got shape ${t}.`),$(a===!1||n===!1,()=>"Error in resizeBilinear: If halfPixelCenters is true, alignCorners must be false.");let s=r,i=!1;r.rank===3&&(i=!0,s=W(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let[]=t,o={images:s},l={alignCorners:n,halfPixelCenters:a,size:t},u=O.runKernel(Zi,o,l);return i?W(u,[u.shape[1],u.shape[2],u.shape[3]]):u}var TT=L({resizeBilinear_:RL});function ML(e,t,n=!1,a=!1){let r=_(e,"images","resizeNearestNeighbor");$(r.rank===3||r.rank===4,()=>`Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank ${r.rank}.`),$(t.length===2,()=>`Error in resizeNearestNeighbor: new shape must 2D, but got shape ${t}.`),$(r.dtype==="float32"||r.dtype==="int32",()=>"`images` must have `int32` or `float32` as dtype"),$(a===!1||n===!1,()=>"Error in resizeNearestNeighbor: If halfPixelCenters is true, alignCorners must be false.");let s=r,i=!1;r.rank===3&&(i=!0,s=W(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let[]=t,o={images:s},l={alignCorners:n,halfPixelCenters:a,size:t},u=O.runKernel(Yi,o,l);return i?W(u,[u.shape[1],u.shape[2],u.shape[3]]):u}var NT=L({resizeNearestNeighbor_:ML});function PL(e,t="binary",n=!1,a=.5){let r=_(e,"image","threshold"),s=.2989,i=.587,o=.114,l=r.shape[0]*r.shape[1],u=z(Ke([a]),255),p,d,c,h;if($(r.rank===3,()=>`Error in threshold: image must be rank 3,but got rank ${r.rank}.`),$(r.shape[2]===3||r.shape[2]===1,()=>`Error in threshold: image color channel must be equal to 3 or 1but got ${r.shape[2]}.`),$(r.dtype==="int32"||r.dtype==="float32",()=>`Error in dtype: image dtype must be int32 or float32,but got dtype ${r.dtype}.`),$(t==="otsu"||t==="binary",()=>`Method must be binary or otsu, but was ${t}`),r.shape[2]===3){[p,d,c]=zn(r,[1,1,1],-1);let f=z(p,s),g=z(d,i),b=z(c,o);h=Y(Y(f,g),b)}else h=e;if(t==="otsu"){let f=ev(oe(Hm(h),"int32"),kn([]),256);u=OL(f,l)}let m=n?xs(h,u):Nn(h,u);return oe(z(m,255),"int32")}function OL(e,t){let n=Ke([-1]),a=Ke([0]),r=Ke([0]),s,i,o,l,u,p;for(let d=0;d`Error in transform: image must be rank 4,but got rank ${i.rank}.`),$(o.rank===2&&(o.shape[0]===i.shape[0]||o.shape[0]===1)&&o.shape[1]===8,()=>"Error in transform: Input transform should be batch x 8 or 1 x 8"),$(s==null||s.length===2,()=>`Error in transform: outputShape must be [height, width] or null, but got ${s}.`);let l={image:i,transforms:o},u={interpolation:n,fillMode:a,fillValue:r,outputShape:s};return O.runKernel(wu,l,u)}var WL=L({transform_:zL});function BL(e,t,n){$(t%1===0,()=>`bandPart(): numLower must be an integer, got ${t}.`),$(n%1===0,()=>`bandPart(): numUpper must be an integer, got ${n}.`);let a=_(e,"a","bandPart");$(a.rank>=2,()=>`bandPart(): Rank must be at least 2, got ${a.rank}.`);let r=a.shape,[s,i]=a.shape.slice(-2);if(!(t<=s))throw new Error(`bandPart(): numLower (${t}) must not be greater than the number of rows (${s}).`);if(!(n<=i))throw new Error(`bandPart(): numUpper (${n}) must not be greater than the number of columns (${i}).`);t<0&&(t=s),n<0&&(n=i);let o=W(ol(0,s,1,"int32"),[-1,1]),l=ol(0,i,1,"int32"),u=pe(o,l),p=Ea(xs(u,ye(+t,"int32")),Er(u,ye(-n,"int32"))),d=It([s,i],a.dtype);return W(Ft(ct(W(a,[-1,s,i])).map(c=>mn(p,c,d))),r)}var VL=L({bandPart_:BL});function UL(e){let t;if(Array.isArray(e)){t=!1,$(e!=null&&e.length>0,()=>"Gram-Schmidt process: input must not be null, undefined, or empty");let r=e[0].shape[0];for(let s=1;s`Gram-Schmidt: Non-unique lengths found in the input vectors: (${e[s].shape[0]} vs. ${r})`)}else t=!0,e=zn(e,e.shape[0],0).map(r=>ws(r,[0]));$(e.length<=e[0].shape[0],()=>`Gram-Schmidt: Number of vectors (${e.length}) exceeds number of dimensions (${e[0].shape[0]}).`);let n=[],a=e;for(let r=0;r{let s=a[r];if(r>0)for(let i=0;i=2,()=>`qr() requires input tensor to have a rank >= 2, but got rank ${e.rank}`),e.rank===2)return J1(e,t);{let n=e.shape.slice(0,e.shape.length-2).reduce((l,u)=>l*u),a=ct(W(e,[n,e.shape[e.shape.length-2],e.shape[e.shape.length-1]]),0),r=[],s=[];a.forEach(l=>{let[u,p]=J1(l,t);r.push(u),s.push(p)});let i=W(Ft(r,0),e.shape),o=W(Ft(s,0),e.shape);return[i,o]}}function J1(e,t=!1){return O.tidy(()=>{$(e.shape.length===2,()=>`qr2d() requires a 2D Tensor, but got a ${e.shape.length}D Tensor.`);let n=e.shape[0],a=e.shape[1],r=Pm(n),s=rr(e),i=_a([[1]],[1,1]),o=rr(i),l=n>=a?a:n;for(let u=0;u{let h=Be(s,[u,u],[n-u,1]),m=Cu(h),f=Be(s,[u,u],[1,1]),g=mn(Nn(f,0),_a([[-1]]),_a([[1]])),b=pe(f,z(g,m)),y=he(h,b);y.shape[0]===1?o=rr(i):o=Ze([i,Be(y,[1,0],[y.shape[0]-1,y.shape[1]])],0);let x=yt(he(Fe(g,b),m)),w=Be(s,[u,0],[n-u,a]),I=z(x,o),T=Ee(o);if(u===0)s=pe(w,Fe(I,Fe(T,w)));else{let A=pe(w,Fe(I,Fe(T,w)));s=Ze([Be(s,[0,0],[u,a]),A],0)}let C=Ee(I),E=Be(r,[0,u],[n,r.shape[1]-u]);if(u===0)r=pe(E,Fe(Fe(E,o),C));else{let A=pe(E,Fe(Fe(E,o),C));r=Ze([Be(r,[0,0],[n,u]),A],1)}return[o,s,r]}),_e([p,d,c])}return!t&&n>a&&(r=Be(r,[0,0],[n,a]),s=Be(s,[0,0],[a,a])),[r,s]})}var jL=L({qr_:HL}),xn;(function(e){e[e.NONE=0]="NONE",e[e.MEAN=1]="MEAN",e[e.SUM=2]="SUM",e[e.SUM_BY_NONZERO_WEIGHTS=3]="SUM_BY_NONZERO_WEIGHTS"})(xn||(xn={}));function qL(e,t,n=xn.SUM_BY_NONZERO_WEIGHTS){let a=_(e,"losses","computeWeightedLoss"),r=null;t!=null&&(r=_(t,"weights","computeWeightedLoss"));let s=r==null?a:z(a,r);if(n===xn.NONE)return s;if(n===xn.SUM)return fe(s);if(n===xn.MEAN){if(r==null)return Nt(s);{let i=a.size/r.size,o=he(fe(s),fe(r));return i>1?he(o,ye(i)):o}}if(n===xn.SUM_BY_NONZERO_WEIGHTS){if(r==null)return he(fe(s),ye(a.size));{let i=z(r,Zn(a.shape)),o=oe(fe(ii(i,ye(0))),"float32");return he(fe(s),o)}}throw Error(`Unknown reduction: ${n}`)}var Ar=L({computeWeightedLoss_:qL});function KL(e,t,n,a=xn.SUM_BY_NONZERO_WEIGHTS){let r=_(e,"labels","absoluteDifference"),s=_(t,"predictions","absoluteDifference"),i=null;n!=null&&(i=_(n,"weights","absoluteDifference")),Sn(r.shape,s.shape,"Error in absoluteDifference: ");let o=Lt(pe(r,s));return Ar(o,i,a)}var XL=L({absoluteDifference_:KL});function YL(e,t,n,a,r=xn.SUM_BY_NONZERO_WEIGHTS){let s=_(e,"labels","cosineDistance"),i=_(t,"predictions","cosineDistance"),o=null;a!=null&&(o=_(a,"weights","cosineDistance")),Sn(s.shape,i.shape,"Error in cosineDistance: ");let l=ye(1),u=pe(l,fe(z(s,i),n,!0));return Ar(u,o,r)}var ZL=L({cosineDistance_:YL});function JL(e,t,n,a=xn.SUM_BY_NONZERO_WEIGHTS){let r=_(e,"labels","hingeLoss"),s=_(t,"predictions","hingeLoss"),i=null;n!=null&&(i=_(n,"weights","hingeLoss")),Sn(r.shape,s.shape,"Error in hingeLoss: ");let o=ye(1);r=pe(z(ye(2),r),o);let l=Xe(pe(o,z(r,s)));return Ar(l,i,a)}var QL=L({hingeLoss_:JL});function ez(e,t,n,a=1,r=xn.SUM_BY_NONZERO_WEIGHTS){let s=_(e,"labels","huberLoss"),i=_(t,"predictions","huberLoss"),o=null;n!=null&&(o=_(n,"weights","huberLoss")),Sn(s.shape,i.shape,"Error in huberLoss: ");let l=ye(a),u=Lt(pe(i,s)),p=Au(u,l),d=pe(u,p),c=Y(z(ye(.5),ot(p)),z(l,d));return Ar(c,o,r)}var tz=L({huberLoss_:ez});function nz(e,t,n,a=1e-7,r=xn.SUM_BY_NONZERO_WEIGHTS){let s=_(e,"labels","logLoss"),i=_(t,"predictions","logLoss"),o=null;n!=null&&(o=_(n,"weights","logLoss")),Sn(s.shape,i.shape,"Error in logLoss: ");let l=ye(1),u=ye(a),p=yt(z(s,ea(Y(i,u)))),d=z(pe(l,s),ea(Y(pe(l,i),u))),c=pe(p,d);return Ar(c,o,r)}var az=L({logLoss_:nz});function rz(e,t,n,a=xn.SUM_BY_NONZERO_WEIGHTS){let r=_(e,"labels","meanSquaredError"),s=_(t,"predictions","meanSquaredError"),i=null;n!=null&&(i=_(n,"weights","meanSquaredError")),Sn(r.shape,s.shape,"Error in meanSquaredError: ");let o=Jm(r,s);return Ar(o,i,a)}var sz=L({meanSquaredError_:rz});function iz(e,t){let n=_(e,"labels","sigmoidCrossEntropyWithLogits"),a=_(t,"logits","sigmoidCrossEntropyWithLogits");Sn(n.shape,a.shape,"Error in sigmoidCrossEntropyWithLogits: ");let r=Xe(a),s=z(a,n),i=Dc(fn(yt(Lt(a))));return Y(pe(r,s),i)}function oz(e,t,n,a=0,r=xn.SUM_BY_NONZERO_WEIGHTS){let s=_(e,"multiClassLabels","sigmoidCrossEntropy"),i=_(t,"logits","sigmoidCrossEntropy"),o=null;if(n!=null&&(o=_(n,"weights","sigmoidCrossEntropy")),Sn(s.shape,i.shape,"Error in sigmoidCrossEntropy: "),a>0){let u=ye(a),p=ye(1),d=ye(.5);s=Y(z(s,pe(p,u)),z(d,u))}let l=iz(s,i);return Ar(l,o,r)}var lz=L({sigmoidCrossEntropy_:oz});function uz(e,t,n=-1){if(n===-1&&(n=t.rank-1),n!==t.rank-1)throw Error(`Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank ${t.rank} and dim was ${n}`);return or((a,r,s)=>{let i=Wm(r,[n],!0),o=pe(oe(r,"float32"),i);s([a,o]);let l=yt(z(o,a));return{value:fe(l,[n]),gradFunc:(u,p)=>{let[d,c]=p,h=si(u.shape,[n]);return[z(W(u,h),pe(oe(d,"float32"),fn(c))),z(W(u,h),pe(fn(c),oe(d,"float32")))]}}})(e,t)}function pz(e,t,n,a=0,r=xn.SUM_BY_NONZERO_WEIGHTS){let s=_(e,"onehotLabels","softmaxCrossEntropy"),i=_(t,"logits","softmaxCrossEntropy"),o=null;if(n!=null&&(o=_(n,"weights","softmaxCrossEntropy")),Sn(s.shape,i.shape,"Error in softmaxCrossEntropy: "),a>0){let u=ye(a),p=ye(1),d=ye(s.shape[1]);s=Y(z(s,pe(p,u)),he(u,d))}let l=uz(s,i);return Ar(l,o,r)}var cz=L({softmaxCrossEntropy_:pz});function dz(e,t,n,a){let r=_(e,"indices","sparseFillEmptyRows","int32"),s=_(t,"values","sparseFillEmptyRows"),i=_(n,"denseShape","sparseFillEmptyRows","int32"),o=_(a,"defaultValue","sparseFillEmptyRows",s.dtype);if(r.rank!==2)throw new Error(`Indices should be Tensor2D but received shape + ${r.shape}`);if(s.rank!==1)throw new Error(`Values should be Tensor1D but received shape ${s.shape}`);if(i.rank!==1)throw new Error(`Dense shape should be Tensor1D but received shape ${i.shape}`);if(o.rank!==0)throw new Error(`Default value should be a scalar but received shape ${o.shape}`);let l={indices:r,values:s,denseShape:i,defaultValue:o},u=O.runKernel(mc,l);return{outputIndices:u[0],outputValues:u[1],emptyRowIndicator:u[2],reverseIndexMap:u[3]}}var hz=L({sparseFillEmptyRows_:dz});function mz(e,t,n){let a=_(e,"inputIndices","sparseReshape","int32"),r=_(t,"inputShape","sparseReshape","int32"),s=_(n,"newShape","sparseReshape","int32");if(a.rank!==2)throw new Error(`Input indices should be Tensor2D but received shape + ${a.shape}`);if(r.rank!==1)throw new Error(`Input shape should be Tensor1D but received shape ${r.shape}`);if(s.rank!==1)throw new Error(`New shape should be Tensor1D but received shape ${s.shape}`);let i={inputIndices:a,inputShape:r,newShape:s},o=O.runKernel(yu,i);return{outputIndices:o[0],outputShape:o[1]}}var fz=L({sparseReshape_:mz});function gz(e,t,n){let a=_(e,"data","sparseSegmentMean"),r=_(t,"indices","sparseSegmentMean","int32"),s=_(n,"segmentIds","sparseSegmentMean","int32");if(a.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.rank!==1)throw new Error(`Indices should be Tensor1D but received shape ${r.shape}`);if(s.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape - ${s.shape}`);let i={data:a,indices:r,segmentIds:s};return O.runKernel(hc,i)}var lz=L({sparseSegmentMean_:oz});function uz(e,t,n){let a=_(e,"data","sparseSegmentSum"),r=_(t,"indices","sparseSegmentSum","int32"),s=_(n,"segmentIds","sparseSegmentSum","int32");if(a.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.rank!==1)throw new Error(`Indices should be Tensor1D but received shape + ${s.shape}`);let i={data:a,indices:r,segmentIds:s};return O.runKernel(fc,i)}var bz=L({sparseSegmentMean_:gz});function yz(e,t,n){let a=_(e,"data","sparseSegmentSum"),r=_(t,"indices","sparseSegmentSum","int32"),s=_(n,"segmentIds","sparseSegmentSum","int32");if(a.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.rank!==1)throw new Error(`Indices should be Tensor1D but received shape ${r.shape}`);if(s.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape - ${s.shape}`);let i={data:a,indices:r,segmentIds:s};return O.runKernel(mc,i)}var pz=L({sparseSegmentSum_:uz});function cz(e,t,n,a,r,s,i,o){let l=_(e,"data","stringNGrams","string");if(l.dtype!=="string")throw new Error("Data must be of datatype string");if(l.shape.length!==1)throw new Error(`Data must be a vector, saw: ${l.shape}`);let u=_(t,"dataSplits","stringNGrams");if(u.dtype!=="int32")throw new Error("Data splits must be of datatype int32");let p={separator:n,nGramWidths:a,leftPad:r,rightPad:s,padWidth:i,preserveShortSequences:o},d={data:l,dataSplits:u},c=O.runKernel(gc,d,p);return{nGrams:c[0],nGramsSplits:c[1]}}var dz=L({stringNGrams_:cz});function hz(e,t,n=!0){let a=_(e,"input","stringSplit","string"),r=_(t,"delimiter","stringSplit","string");if(a.rank!==1)throw new Error(`Input should be Tensor1D but received shape ${a.shape}`);if(r.rank!==0)throw new Error(`Delimiter should be a scalar but received shape ${r.shape}`);let s={skipEmpty:n},i={input:a,delimiter:r},o=O.runKernel(bc,i,s);return{indices:o[0],values:o[1],shape:o[2]}}var mz=L({stringSplit_:hz});function fz(e,t){let n=_(e,"input","stringToHashBucketFast","string"),a={numBuckets:t};if(t<=0)throw new Error("Number of buckets must be at least 1");let r={input:n};return O.runKernel(yc,r,a)}var gz=L({stringToHashBucketFast_:fz}),vT={fft:Oc,ifft:ol,rfft:Lc,irfft:Xm},wT={hammingWindow:K3,hannWindow:hT,frame:mT,stft:J3},Ir={flipLeftRight:nL,grayscaleToRGB:rL,resizeNearestNeighbor:xT,resizeBilinear:yT,rotateWithOffset:iL,cropAndResize:eL,nonMaxSuppression:lL,nonMaxSuppressionAsync:gL,nonMaxSuppressionWithScore:yL,nonMaxSuppressionWithScoreAsync:vL,nonMaxSuppressionPadded:kL,nonMaxSuppressionPaddedAsync:SL,threshold:EL,transform:$L},Wv={bandPart:DL,gramSchmidt:ML,qr:OL},kT={absoluteDifference:BL,computeWeightedLoss:Er,cosineDistance:VL,hingeLoss:GL,huberLoss:jL,logLoss:KL,meanSquaredError:YL,sigmoidCrossEntropy:QL,softmaxCrossEntropy:nz},IT={sparseFillEmptyRows:rz,sparseReshape:iz,sparseSegmentMean:lz,sparseSegmentSum:pz},ST={stringNGrams:dz,stringSplit:mz,stringToHashBucketFast:gz},Ar=class extends fS{minimize(e,t=!1,n){let{value:a,grads:r}=this.computeGradients(e,n);if(n!=null){let s=n.map(i=>({name:i.name,tensor:r[i.name]}));this.applyGradients(s)}else this.applyGradients(r);return $e(r),t?a:(a.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(e,t){return RS(e,t)}dispose(){this.iterations_!=null&&$e(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:"iter",tensor:ye(this.iterations_,"int32")}}async getWeights(){throw new Error("getWeights() is not implemented for this optimizer yet.")}async setWeights(e){throw new Error(`setWeights() is not implemented for this optimizer class ${this.getClassName()}`)}async extractIterations(e){return this.iterations_=(await e[0].tensor.data())[0],e.slice(1)}};Object.defineProperty(Ar,Symbol.hasInstance,{value:e=>e.minimize!=null&&e.computeGradients!=null&&e.applyGradients!=null});var rf=class extends Ar{constructor(e,t,n=null){super(),this.learningRate=e,this.rho=t,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],n==null&&(this.epsilon=O.backend.epsilon())}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=O.registeredVariables[t],r=!1;this.accumulatedGrads[n]==null&&(this.accumulatedGrads[n]={originalName:`${t}/accum_grad`,variable:P(()=>je(a).variable(r))}),this.accumulatedUpdates[n]==null&&(this.accumulatedUpdates[n]={originalName:`${t}/accum_var`,variable:P(()=>je(a).variable(r))});let s=Array.isArray(e)?e[n].tensor:e[t];if(s==null)return;let i=this.accumulatedGrads[n].variable,o=this.accumulatedUpdates[n].variable;P(()=>{let l=Y(z(i,this.rho),z(ot(s),1-this.rho)),u=z(he(on(Y(o,this.epsilon)),on(Y(i,this.epsilon))),s),p=Y(z(o,this.rho),z(ot(u),1-this.rho));i.assign(l),o.assign(p);let d=Y(z(u,-this.learningRate),a);a.assign(d)})}),this.incrementIterations()}dispose(){this.accumulatedUpdates!=null&&($e(this.accumulatedGrads.map(e=>e.variable)),$e(this.accumulatedUpdates.map(e=>e.variable)))}async getWeights(){let e=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=e.length/2,n=!1;this.accumulatedGrads=e.slice(0,t).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})),this.accumulatedUpdates=e.slice(t,t*2).map(a=>({originalName:a.name,variable:a.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.rho,t.epsilon)}};rf.className="Adadelta";fs(rf);var sf=class extends Ar{constructor(e,t=.1){super(),this.learningRate=e,this.initialAccumulatorValue=t,this.accumulatedGrads=[]}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=O.registeredVariables[t];this.accumulatedGrads[n]==null&&(this.accumulatedGrads[n]={originalName:`${t}/accumulator`,variable:P(()=>gn(a.shape,this.initialAccumulatorValue).variable(!1))});let r=Array.isArray(e)?e[n].tensor:e[t];if(r==null)return;let s=this.accumulatedGrads[n].variable;P(()=>{let i=Y(s,ot(r));s.assign(i);let o=Y(z(he(r,on(Y(i,O.backend.epsilon()))),-this.learningRate),a);a.assign(o)})}),this.incrementIterations()}dispose(){this.accumulatedGrads!=null&&$e(this.accumulatedGrads.map(e=>e.variable))}async getWeights(){return[await this.saveIterations()].concat(this.accumulatedGrads.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=!1;this.accumulatedGrads=e.map(n=>({originalName:n.name,variable:n.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}static fromConfig(e,t){return new e(t.learningRate,t.initialAccumulatorValue)}};sf.className="Adagrad";fs(sf);var of=class extends Ar{constructor(e,t,n,a=null){super(),this.learningRate=e,this.beta1=t,this.beta2=n,this.epsilon=a,this.accumulatedFirstMoment=[],this.accumulatedSecondMoment=[],P(()=>{this.accBeta1=ye(t).variable(),this.accBeta2=ye(n).variable()}),a==null&&(this.epsilon=O.backend.epsilon())}applyGradients(e){let t=Array.isArray(e)?e.map(n=>n.name):Object.keys(e);P(()=>{let n=pe(1,this.accBeta1),a=pe(1,this.accBeta2);t.forEach((r,s)=>{let i=O.registeredVariables[r],o=!1;this.accumulatedFirstMoment[s]==null&&(this.accumulatedFirstMoment[s]={originalName:`${r}/m`,variable:P(()=>je(i).variable(o))}),this.accumulatedSecondMoment[s]==null&&(this.accumulatedSecondMoment[s]={originalName:`${r}/v`,variable:P(()=>je(i).variable(o))});let l=Array.isArray(e)?e[s].tensor:e[r];if(l==null)return;let u=this.accumulatedFirstMoment[s].variable,p=this.accumulatedSecondMoment[s].variable,d=Y(z(u,this.beta1),z(l,1-this.beta1)),c=Y(z(p,this.beta2),z(ot(l),1-this.beta2)),h=he(d,n),m=he(c,a);u.assign(d),p.assign(c);let f=Y(z(he(h,Y(on(m),this.epsilon)),-this.learningRate),i);i.assign(f)}),this.accBeta1.assign(z(this.accBeta1,this.beta1)),this.accBeta2.assign(z(this.accBeta2,this.beta2))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.accBeta2.dispose(),this.accumulatedFirstMoment!=null&&$e(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedSecondMoment!=null&&$e(this.accumulatedSecondMoment.map(e=>e.variable))}async getWeights(){let e=[...this.accumulatedFirstMoment,...this.accumulatedSecondMoment];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e),P(()=>{this.accBeta1.assign(_r(this.beta1,this.iterations_+1)),this.accBeta2.assign(_r(this.beta2,this.iterations_+1))});let t=e.length/2,n=!1;this.accumulatedFirstMoment=e.slice(0,t).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})),this.accumulatedSecondMoment=e.slice(t,t*2).map(a=>({originalName:a.name,variable:a.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)}};of.className="Adam";fs(of);var lf=class extends Ar{constructor(e,t,n,a=null,r=0){super(),this.learningRate=e,this.beta1=t,this.beta2=n,this.epsilon=a,this.decay=r,this.accumulatedFirstMoment=[],this.accumulatedWeightedInfNorm=[],P(()=>{this.iteration=ye(0).variable(),this.accBeta1=ye(t).variable()}),a==null&&(this.epsilon=O.backend.epsilon())}applyGradients(e){let t=Array.isArray(e)?e.map(n=>n.name):Object.keys(e);P(()=>{let n=pe(1,this.accBeta1),a=he(-this.learningRate,Y(z(this.iteration,this.decay),1));t.forEach((r,s)=>{let i=O.registeredVariables[r],o=!1;this.accumulatedFirstMoment[s]==null&&(this.accumulatedFirstMoment[s]={originalName:`${r}/m`,variable:je(i).variable(o)}),this.accumulatedWeightedInfNorm[s]==null&&(this.accumulatedWeightedInfNorm[s]={originalName:`${r}/v`,variable:je(i).variable(o)});let l=Array.isArray(e)?e[s].tensor:e[r];if(l==null)return;let u=this.accumulatedFirstMoment[s].variable,p=this.accumulatedWeightedInfNorm[s].variable,d=Y(z(u,this.beta1),z(l,1-this.beta1)),c=z(p,this.beta2),h=Lt(l),m=ur(c,h);u.assign(d),p.assign(m);let f=Y(z(he(a,n),he(d,Y(m,this.epsilon))),i);i.assign(f)}),this.iteration.assign(Y(this.iteration,1)),this.accBeta1.assign(z(this.accBeta1,this.beta1))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.iteration.dispose(),this.accumulatedFirstMoment!=null&&$e(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedWeightedInfNorm!=null&&$e(this.accumulatedWeightedInfNorm.map(e=>e.variable))}async getWeights(){throw new Error("getWeights() is not implemented for Adamax yet.")}async setWeights(e){throw new Error("setWeights() is not implemented for Adamax yet.")}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)}};lf.className="Adamax";fs(lf);var zc=class extends Ar{constructor(e){super(),this.learningRate=e,this.setLearningRate(e)}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=Array.isArray(e)?e[n].tensor:e[t];if(a==null)return;let r=O.registeredVariables[t];P(()=>{let s=Y(z(this.c,a),r);r.assign(s)})}),this.incrementIterations()}setLearningRate(e){this.learningRate=e,this.c!=null&&this.c.dispose(),this.c=Zt(ye(-e))}dispose(){this.c.dispose()}async getWeights(){return[await this.saveIterations()]}async setWeights(e){if(e=await this.extractIterations(e),e.length!==0)throw new Error("SGD optimizer does not have settable weights.")}getConfig(){return{learningRate:this.learningRate}}static fromConfig(e,t){return new e(t.learningRate)}};zc.className="SGD";fs(zc);var uf=class extends zc{constructor(e,t,n=!1){super(e),this.learningRate=e,this.momentum=t,this.useNesterov=n,this.accumulations=[],this.m=ye(this.momentum)}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=O.registeredVariables[t];this.accumulations[n]==null&&(this.accumulations[n]={originalName:`${t}/momentum`,variable:P(()=>je(a).variable(!1))});let r=this.accumulations[n].variable,s=Array.isArray(e)?e[n].tensor:e[t];s!=null&&P(()=>{let i,o=Y(z(this.m,r),s);this.useNesterov?i=Y(z(this.c,Y(s,z(o,this.m))),a):i=Y(z(this.c,o),a),r.assign(o),a.assign(i)})}),this.incrementIterations()}dispose(){this.m.dispose(),this.accumulations!=null&&$e(this.accumulations.map(e=>e.variable))}setMomentum(e){this.momentum=e}async getWeights(){return[await this.saveIterations()].concat(this.accumulations.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=!1;this.accumulations=e.map(n=>({originalName:n.name,variable:n.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}static fromConfig(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)}};uf.className="Momentum";fs(uf);var pf=class extends Ar{constructor(e,t=.9,n=0,a=null,r=!1){if(super(),this.learningRate=e,this.decay=t,this.momentum=n,this.epsilon=a,this.accumulatedMeanSquares=[],this.accumulatedMoments=[],this.accumulatedMeanGrads=[],this.centered=r,a==null&&(this.epsilon=O.backend.epsilon()),e==null)throw new Error("learningRate for RMSPropOptimizer must be defined.")}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=O.registeredVariables[t],r=!1;this.accumulatedMeanSquares[n]==null&&(this.accumulatedMeanSquares[n]={originalName:`${t}/rms`,variable:P(()=>je(a).variable(r))}),this.accumulatedMoments[n]==null&&(this.accumulatedMoments[n]={originalName:`${t}/momentum`,variable:P(()=>je(a).variable(r))}),this.accumulatedMeanGrads[n]==null&&this.centered&&(this.accumulatedMeanGrads[n]={originalName:`${t}/mg`,variable:P(()=>je(a).variable(r))});let s=Array.isArray(e)?e[n].tensor:e[t];if(s==null)return;let i=this.accumulatedMeanSquares[n].variable,o=this.accumulatedMoments[n].variable;P(()=>{let l=Y(z(i,this.decay),z(ot(s),1-this.decay));if(this.centered){let u=this.accumulatedMeanGrads[n].variable,p=Y(z(u,this.decay),z(s,1-this.decay)),d=he(z(s,this.learningRate),on(pe(l,Y(ot(p),this.epsilon)))),c=Y(z(o,this.momentum),d);i.assign(l),u.assign(p),o.assign(c);let h=pe(a,c);a.assign(h)}else{let u=Y(z(i,this.decay),z(ot(s),1-this.decay)),p=Y(z(o,this.momentum),he(z(s,this.learningRate),on(Y(u,this.epsilon))));i.assign(u),o.assign(p);let d=pe(a,p);a.assign(d)}})}),this.incrementIterations()}dispose(){this.accumulatedMeanSquares!=null&&$e(this.accumulatedMeanSquares.map(e=>e.variable)),this.accumulatedMeanGrads!=null&&this.centered&&$e(this.accumulatedMeanGrads.map(e=>e.variable)),this.accumulatedMoments!=null&&$e(this.accumulatedMoments.map(e=>e.variable))}async getWeights(){let e=[...this.accumulatedMeanSquares,...this.accumulatedMoments];return this.centered&&e.push(...this.accumulatedMeanGrads),[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=this.centered?e.length/3:e.length/2,n=!1;this.accumulatedMeanSquares=e.slice(0,t).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})),this.accumulatedMoments=e.slice(t,t*2).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})),this.centered&&(this.accumulatedMeanGrads=e.slice(t*2,t*3).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})))}getConfig(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}}static fromConfig(e,t){return new e(t.learningRate,t.decay,t.momentum,t.epsilon,t.centered)}};pf.className="RMSProp";fs(pf);var Gr=class{static sgd(e){return new zc(e)}static momentum(e,t,n=!1){return new uf(e,t,n)}static rmsprop(e,t=.9,n=0,a=null,r=!1){return new pf(e,t,n,a,r)}static adam(e=.001,t=.9,n=.999,a=null){return new of(e,t,n,a)}static adadelta(e=.001,t=.95,n=null){return new rf(e,t,n)}static adamax(e=.002,t=.9,n=.999,a=null,r=0){return new lf(e,t,n,a,r)}static adagrad(e,t=.1){return new sf(e,t)}},zs={sgd:Gr.sgd,momentum:Gr.momentum,adadelta:Gr.adadelta,adagrad:Gr.adagrad,rmsprop:Gr.rmsprop,adamax:Gr.adamax,adam:Gr.adam},bz=(()=>typeof requestAnimationFrame!="undefined"?requestAnimationFrame:typeof setImmediate!="undefined"?setImmediate:e=>e())();function Vv(){return new Promise(e=>bz(()=>e()))}var N={};_e(N,{ERF_A1:()=>Fz,ERF_A2:()=>Dz,ERF_A3:()=>Rz,ERF_A4:()=>Mz,ERF_A5:()=>Pz,ERF_P:()=>$z,PARALLELIZE_THRESHOLD:()=>Uv,RowPartitionType:()=>Qa,SELU_SCALE:()=>NT,SELU_SCALEALPHA:()=>TT,applyActivation:()=>nf,assertAndGetBroadcastShape:()=>lt,assertAxesAreInnerMostDims:()=>IP,assertParamsConsistent:()=>yz,assignToTypedArray:()=>Vz,axesAreInnerMostDims:()=>dv,calculateShapes:()=>sS,checkEinsumDimSizes:()=>Kz,checkPadOnDimRoundingMode:()=>Sn,combineLocations:()=>ES,combineRaggedTensorToTensorShapes:()=>vz,complexWithEvenIndex:()=>zz,complexWithOddIndex:()=>Bz,computeConv2DInfo:()=>Cc,computeConv3DInfo:()=>wS,computeDefaultPad:()=>qx,computeDilation2DInfo:()=>SM,computeOptimalWindowSize:()=>Sz,computeOutAndReduceShapes:()=>AS,computeOutShape:()=>xz,computePool2DInfo:()=>vS,computePool3DInfo:()=>TM,convertConv2DDataFormat:()=>kS,decodeEinsumEquation:()=>jz,eitherStridesOrDilationsAreOne:()=>lr,expandShapeToKeepDim:()=>si,exponent:()=>Gz,exponents:()=>Uz,fromStringArrayToUint8:()=>fB,fromUint8ToStringArray:()=>mB,getAxesPermutation:()=>$S,getBroadcastDims:()=>nS,getComplexWithIndex:()=>Wz,getEinsumComputePath:()=>Xz,getEinsumPermutation:()=>qz,getFusedBiasGradient:()=>tf,getFusedDyActivation:()=>ef,getImageCenter:()=>Tz,getInnerMostAxes:()=>SP,getPermuted:()=>Cz,getRaggedRank:()=>kz,getReductionAxes:()=>Bt,getReshaped:()=>Nz,getReshapedPermuted:()=>_z,getRowPartitionTypesHelper:()=>wz,getSliceBeginCoords:()=>Ez,getSliceSize:()=>Az,getSparseFillEmptyRowsIndicesDenseShapeMismatch:()=>Qz,getSparseFillEmptyRowsNegativeIndexErrorMessage:()=>eB,getSparseFillEmptyRowsOutOfRangeIndexErrorMessage:()=>tB,getSparseReshapeEmptyTensorZeroOutputDimErrorMessage:()=>rB,getSparseReshapeInputOutputMismatchErrorMessage:()=>iB,getSparseReshapeInputOutputMultipleErrorMessage:()=>sB,getSparseReshapeMultipleNegativeOneOutputDimErrorMessage:()=>nB,getSparseReshapeNegativeOutputDimErrorMessage:()=>aB,getSparseSegmentReductionIndicesOutOfRangeErrorMessage:()=>pB,getSparseSegmentReductionNegativeSegmentIdsErrorMessage:()=>oB,getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage:()=>lB,getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage:()=>uB,getUndoAxesPermutation:()=>hv,isIdentityPermutation:()=>Yz,log:()=>WF,mergeRealAndImagArrays:()=>Oz,prepareAndValidate:()=>rS,prepareSplitSize:()=>Jz,segment_util:()=>CT,shouldFuse:()=>af,slice_util:()=>jt,splitRealAndImagArrays:()=>Lz,tupleValuesAreOne:()=>ts,upcastType:()=>ha,validateDefaultValueShape:()=>Iz,validateInput:()=>Px,validateUpdateShape:()=>Mx,warn:()=>jr});function yz(e,t){let n=e[0].length;e.forEach((r,s)=>{$(r.length===n,()=>`Error in concat${n}D: rank of tensors[${s}] must be the same as the rank of the rest (${n})`)}),$(t>=0&&t`Error in concat${n}D: axis must be between 0 and ${n-1}.`);let a=e[0];e.forEach((r,s)=>{for(let i=0;i`Error in concat${n}D: Shape of tensors[${s}] (${r}) does not match the shape of the rest (${a}) along the non-concatenated axis ${s}.`)})}function xz(e,t){let n=e[0].slice();for(let a=1;a=0)if(o>=0){if(o!==s)throw new Error(`rt input.shape and shape=${t} are incompatible: rt input.shape[${r+e}] = ${s} but shape[${r+e}] = ${o}`)}else a[i]=s}return a}function wz(e){let t={FIRST_DIM_SIZE:Qa.FIRST_DIM_SIZE,VALUE_ROWIDS:Qa.VALUE_ROWIDS,ROW_LENGTHS:Qa.ROW_LENGTHS,ROW_SPLITS:Qa.ROW_SPLITS,ROW_LIMITS:Qa.ROW_LIMITS,ROW_STARTS:Qa.ROW_STARTS},n=[];for(let a of e)if(a in t)n.push(t[a]);else break;return n}function kz(e){return e.length===0?0:e[0]===Qa.FIRST_DIM_SIZE?e.length-1:e.length}function Iz(e,t){if(e==null||t==null)return;let n=e.length,a=t.length;if(n>=a)throw new Error(`defaultValue.shape=${e} and ragged tensor flatValues.shape=${t}, are incompatible: defaultValue.rank = ${n} must be less than ragged tensor input flatValues.rank = ${a})`);for(let r=0;r=0&&i>=0&&s!==1&&s!==i)throw new Error(`defaultValue.shape=${e}, and ragged tensor input flatValues.shape=${t} are incompatible: defaultValue.shape[${r-e.length}] = ${s} but ragged tensor input.flatValues.shape[${r-e.length}] = ${i}`)}}var Uv=30;function Sz(e){return e<=Uv?e:mh(e,Math.floor(Math.sqrt(e)))}function Tz(e,t,n){let a=n*(typeof e=="number"?e:e[0]),r=t*(typeof e=="number"?e:e[1]);return[a,r]}function Nz(e,t,n,a=!0){let r=[];if(a)r=r.concat(t.slice(0)),r.push(e[0]/n),r=r.concat(e.slice(1));else{r=r.concat(e[0]);let s=t.length;for(let i=0;i=t*2+1||i%2===1?s.push(i):r.push(i);a.push(...r),a.push(0),a.push(...s)}return a}function _z(e,t,n,a=!0){let r=[];a?r.push(e[0]/n):r.push(e[0]*n);for(let s=1;s/g,X1=",",Y1="...";function jz(e,t){e=e.replace(/\s/g,"");let n=(e.length-e.replace(Hz,"").length)/oy.length;if(n<1)throw new Error("Equations without an arrow are not supported.");if(n>1)throw new Error(`Equation must contain exactly one arrow ("${oy}").`);let[a,r]=e.split(oy);$(a.indexOf(Y1)===-1,()=>`The ellipsis notation ("${Y1}") is not supported yet.`);let s=a.split(X1),i=s.length;if(t!==i)throw new Error(`Expected ${i} input tensors, received ${t}`);if(i>2)throw new Error("Support for more than 2 input tensors is not implemented yet.");let o=[];for(let c=0;cm.indexOf(h)!==-1))throw new Error(`Output subscripts contain the label ${h} not present in the input subscripts.`);o.indexOf(h)===-1&&o.push(h)}for(let c=0;cr!==-1),{permutationIndices:n,expandDims:a}}function Kz(e,t,n){let a=new Array(e);for(let r=0;r`Expected dimension ${a[t[r][i]]} at axis ${i} of input shaped ${JSON.stringify(s)}, but got dimension ${s[i]}`)}}function Xz(e,t){let n=e,a=[],r=0;e.length===0&&n.push(-1),r=e.length+1;for(let i=0;it===n)}function Zz(e,t){let n=[];for(let a=0;a"Number of splits must evenly divide the axis."),a=new Array(t).fill(e.shape[n]/t);else{let r=t.reduce((i,o)=>(o===-1&&(i+=1),i),0);$(r<=1,()=>"There should be only one negative value in split array.");let s=t.indexOf(-1);if(s!==-1){let i=t.reduce((o,l)=>l>0?o+l:o);t[s]=e.shape[n]-i}$(e.shape[n]===t.reduce((i,o)=>i+o),()=>"The sum of sizes must match the size of the axis dimension."),a=t}return a}function Qz(e){return`Received SparseTensor with denseShape[0] = 0 but - indices.shape[0] = ${e}`}function eB(e,t){return`indices(${e}, 0) is invalid: ${t} < 0`}function tB(e,t,n){return`indices(${e}, 0) is invalid: ${t} >= ${n}`}function nB(e,t){return`only one output dimension may be -1, not both ${e} and ${t}`}function aB(e,t){return`size ${e} must be non-negative, not ${t}`}function rB(){return"reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero"}function sB(e,t){let n=mt(e),a=mt(t);return`Input to reshape is a SparseTensor with ${n} - dense values, but the requested shape requires a multiple of ${a}. inputShape=${e} outputShape= ${t}`}function iB(e,t){let n=mt(e),a=mt(t);return`Input to reshape is a tensor with ${n} dense values, but the requested shape has ${a}. inputShape=${e} outputShape=${t}`}function oB(){return"segment ids must be >= 0"}function lB(){return"segment ids are not increasing"}function uB(e,t){return`Segment id ${e} out of range [0, ${t}), possibly because segmentIds input is not sorted.`}function pB(e,t,n){return`Bad: indices[${e}] == ${t} out of range [0, ${n})`}var CT={};_e(CT,{collectGatherOpShapeInfo:()=>hB,computeOutShape:()=>dB,segOpComputeOptimalWindowSize:()=>cB});function cB(e,t){let n=!1,a;for(e<=Uv?(a=e,n=!0):a=mh(e,Math.floor(Math.sqrt(e)));!n;)a>t||a===e?n=!0:a=mh(e,a+1);return a}function dB(e,t,n){let a=[],r=e.length;for(let s=0;sr))throw new Error(`Expect batchDims in the range of [-${r}, ${r}], but got ${a}`);if(a<0&&(a+=r),a>s)throw new Error(`batchDims (${a}) must be less than rank(x) ( - ${s}).`);if(nvh(t))}catch(t){throw new Error(`Failed to decode encoded string bytes into utf-8, error: ${t}`)}}function fB(e){return e.map(t=>kc(t))}var pr={};_e(pr,{nonMaxSuppressionV3Impl:()=>fT,nonMaxSuppressionV4Impl:()=>gT,nonMaxSuppressionV5Impl:()=>bT,whereImpl:()=>rT});var _T={kernelName:xl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,fo(oe(n,"float32"),-1))}}},gB={kernelName:vl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=ot(oe(n,"float32")),r=on(pe(ye(1),a));return yt(he(e,r))}}}},bB={kernelName:wl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=on(pe(ot(oe(n,"float32")),1));return he(e,a)}}}},yB={kernelName:ps,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=lt(n.shape,a.shape);return{a:()=>{let s=e,i=Bt(n.shape,r);return i.length>0&&(s=fe(s,i)),B(s,n.shape)},b:()=>{let s=e,i=Bt(a.shape,r);return i.length>0&&(s=fe(s,i)),B(s,a.shape)}}}},xB={kernelName:mi,saveAllInputs:!0,gradFunc:(e,t)=>{let n={};return t.forEach((a,r)=>{n[r]=()=>e.clone()}),n}},vB={kernelName:fi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>je(n)}}},wB={kernelName:ac,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>je(n)}}},kB={kernelName:Sl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,on(pe(ye(1),ot(oe(n,"float32")))))}}},IB={kernelName:Tl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=on(Y(ye(1),ot(oe(n,"float32"))));return he(e,a)}}}},SB={kernelName:_l,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=lt(n.shape,a.shape);return{a:()=>{let s=Y(ot(n),ot(a)),i=z(e,he(a,s)),o=Bt(n.shape,r);return o.length>0&&(i=fe(i,o)),B(i,n.shape)},b:()=>{let s=Y(ot(n),ot(a)),i=yt(z(e,he(n,s))),o=Bt(a.shape,r);return o.length>0&&(i=fe(i,o)),B(i,a.shape)}}}},TB={kernelName:Nl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,Y(ot(oe(n,"float32")),1))}}},NB={kernelName:Cl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,pe(ye(1),ot(oe(n,"float32"))))}}};function CB(e,t,n,a,r,s){let i=_(e,"dy","avgPool3dGrad"),o=_(t,"input","avgPool3dGrad"),l=i,u=o,p=!1;o.rank===4&&(p=!0,l=B(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]]),u=B(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]])),$(l.rank===5,()=>`Error in avgPool3dGrad: dy must be rank 5 but got rank ${l.rank}.`),$(u.rank===5,()=>`Error in avgPool3dGrad: input must be rank 5 but got rank ${u.rank}.`),Sn("avgPool3dGrad",r,s);let d={dy:l,input:u},c={filterSize:n,strides:a,pad:r,dimRoundingMode:s},h=O.runKernel(Xh,d,c);return p?B(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}var _B=L({avgPool3dGrad_:CB}),EB={kernelName:rc,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{filterSize:r,strides:s,pad:i,dimRoundingMode:o}=n;return{x:()=>_B(e,a,r,s,i,o)}}};function AB(e,t,n,a,r){let s=_(e,"dy","avgPoolGrad"),i=_(t,"input","avgPoolGrad");$(i.rank===s.rank,()=>`Rank of input (${i.rank}) does not match rank of dy (${s.rank})`);let o=i,l=s,u=!1;i.rank===3&&(u=!0,o=B(i,[1,i.shape[0],i.shape[1],i.shape[2]]),l=B(s,[1,s.shape[0],s.shape[1],s.shape[2]])),$(l.rank===4,()=>`Error in avgPoolGrad: dy must be rank 4 but got rank ${l.rank}.`),$(o.rank===4,()=>`Error in avgPoolGrad: input must be rank 4 but got rank ${o.rank}.`);let p={dy:l,input:o},d={filterSize:n,strides:a,pad:r},c=O.runKernel(Kh,p,d);return u?B(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var $B=L({avgPoolGrad_:AB}),FB={kernelName:gi,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{filterSize:r,strides:s,pad:i}=n;return{x:()=>$B(e,a,r,s,i)}}},DB={kernelName:bi,inputsToSave:["a","b"],gradFunc:(e,t,n)=>{let[a,r]=t,{transposeA:s,transposeB:i}=n;return!s&&!i?{a:()=>Ae(e,r,!1,!0),b:()=>Ae(a,e,!0,!1)}:!s&&i?{a:()=>Ae(e,r,!1,!1),b:()=>Ae(e,a,!0,!1)}:s&&!i?{a:()=>Ae(r,e,!1,!0),b:()=>Ae(a,e,!1,!1)}:{a:()=>Ae(r,e,!0,!0),b:()=>Ae(e,a,!0,!0)}}},RB={kernelName:El,gradFunc:(e,t,n)=>{let{blockShape:a,crops:r}=n;return{x:()=>Rc(e,a,r)}}},MB={kernelName:NI,gradFunc:(e,t,n)=>{let a=n,r=a.inputShape,s=a.shape,i=Array.from(s);for(let l=r.length-1;l>=0;l--)if(r[l]===s[l])i[l]=1;else if(r[l]!==1)throw new Error(`broadcastTo(): [${r}] cannot be broadcast to [${s}].`);let o=[];for(let l=0;l1&&o.push(l);return{x:()=>fe(e,o,!0)}}},PB={kernelName:yi,gradFunc:e=>({x:()=>e.clone()})},OB={kernelName:xi,gradFunc:e=>({x:()=>je(e)})},LB={kernelName:cs,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{clipValueMin:r,clipValueMax:s}=n;return{x:()=>mn(_a(ys(a,r),xs(a,s)),e,je(e))}}},zB={kernelName:sc,inputsToSave:["x"],gradFunc:_T.gradFunc},BB={kernelName:Al,saveAllInputs:!0,gradFunc:(e,t,n)=>{let a=t.map(o=>o.shape),{axis:r}=n,s=Ea(r,t[0].shape)[0],i=a.map(o=>o[s]);return Ln(e,i,s).map(o=>()=>o)}},WB={kernelName:vi,inputsToSave:["x","filter"],gradFunc:(e,t,n)=>{let[a,r]=t,{dilations:s,strides:i,pad:o,dataFormat:l}=n;return $(ts(s),()=>`Error in gradient of conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`),{x:()=>rv(a.shape,e,r,i,o,l),filter:()=>zv(a,e,r.shape,i,o,l)}}},VB={kernelName:wi,inputsToSave:["dy","filter"],gradFunc:(e,t,n)=>{let[a,r]=t,{strides:s,pad:i,dataFormat:o,dimRoundingMode:l}=n;return{dy:()=>$t(e,r,s,i,o,1,l),filter:()=>zv(e,a,r.shape,s,i,o,l)}}};function UB(e,t,n,a,r){let s=e;e.rank===4&&(s=B(e,[1,e.shape[0],e.shape[1],e.shape[2],e.shape[3]]));let i=t;i.rank===4&&(i=B(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]])),$(s.rank===5,()=>`Error in conv3dDerFilter: input must be rank 5, but got shape ${s.shape}.`),$(i.rank===5,()=>`Error in conv3dDerFilter: dy must be rank 5, but got shape ${i.shape}.`),$(n.length===5,()=>`Error in conv3dDerFilter: filterShape must be length 5, but got ${n}.`),$(s.shape[4]===n[3],()=>`Error in conv3dDerFilter: depth of input ${s.shape[4]}) must match input depth in filter (${n[3]}.`),$(i.shape[4]===n[4],()=>`Error in conv3dDerFilter: depth of dy (${i.shape[4]}) must match output depth for filter (${n[4]}).`);let o={x:s,dy:i},l={strides:a,pad:r,filterShape:n};return O.runKernel(em,o,l)}var GB=L({conv3DBackpropFilter_:UB}),HB={kernelName:ic,inputsToSave:["x","filter"],gradFunc:(e,t,n)=>{let{dilations:a,strides:r,pad:s}=n;$(ts(a),()=>`Error in gradient of conv3D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${a}'`);let[i,o]=t;return{x:()=>TS(i.shape,e,o,r,s),filter:()=>GB(i,e,o.shape,r,s)}}},jB={kernelName:ki,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(yt(jm(oe(n,"float32"))),e)}}},qB={kernelName:Ii,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(qm(oe(n,"float32")),e)}}},KB={kernelName:Si,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{axis:r,exclusive:s,reverse:i}=n;return{x:()=>{let o=$S([r],a.rank),l=Dm(e,r,s,!i);return o!=null&&(l=Ce(l,o)),l}}}},XB={kernelName:Ti,inputsToSave:["x","filter"],gradFunc:(e,t,n)=>{let{dilations:a,strides:r,pad:s,dimRoundingMode:i}=n,o=a==null?[1,1]:a;$(ts(o),()=>`Error in gradient of depthwiseConv2dNative: dilation rates greater than 1 are not yet supported. Got dilations '${o}'`);let[l,u]=t;return $(l.rank===4,()=>`Error in gradient of depthwiseConv2dNative: input must be rank 4, but got rank ${l.rank}.`),$(u.rank===4,()=>`Error in gradient of depthwiseConv2dNative: filter must be rank 4, but got rank ${u.rank}.`),$(l.shape[3]===u.shape[2],()=>`Error in gradient of depthwiseConv2d: number of input channels (${l.shape[3]}) must match the inChannels dimension in filter ${u.shape[2]}.`),$(lr(r,o),()=>`Error in gradient of depthwiseConv2d: Either strides or dilations must be 1. Got strides ${r} and dilations '${o}'.`),Sn("depthwiseConv2d",s,i),{x:()=>dT(l.shape,e,u,r,s,o,i),filter:()=>cT(l,e,u.shape,r,s,o,i)}}},YB={kernelName:oc,inputsToSave:["x","filter"],gradFunc:(e,t,n)=>{let[a,r]=t,s={x:a,filter:r,dy:e},i={x:a,filter:r,dy:e};return{x:()=>O.runKernel(fh,s,n),filter:()=>O.runKernel(gh,i,n)}}},ZB={kernelName:Ci,outputsToSave:[!0],gradFunc:(e,t)=>{let[n]=t,a={dy:e,y:n};return{x:()=>O.runKernel(om,a)}}},JB={kernelName:Rl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t,a=z(fn(yt(ot(n))),2/Math.sqrt(Math.PI));return{x:()=>z(e,a)}}},QB={kernelName:_i,outputsToSave:[!0],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,n)}}},eW={kernelName:Pl,inputsToSave:["input"],gradFunc:(e,t)=>{let[n]=t;return{input:()=>B(e,n.shape)}}},tW={kernelName:Ol,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,fn(n))}}},nW={kernelName:Ei,gradFunc:e=>({x:()=>je(e)})},aW={kernelName:Ai,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=lt(n.shape,a.shape);return{a:()=>{let s=he(e,oe(a,"float32")),i=Bt(n.shape,r);return i.length>0?B(fe(s,i),n.shape):s},b:()=>{let s=z(e,oe(n,"float32")),i=Bt(a.shape,r);i.length>0&&(s=B(fe(s,i),a.shape));let o=ot(a);return yt(he(s,oe(o,"float32")))}}}},rW={kernelName:$i,inputsToSave:["x","mean","variance","scale"],gradFunc:(e,t,n)=>{let{varianceEpsilon:a}=n,[r,s,i,o]=t,l=o==null?ye(1):o,u=Bt(s.shape,r.shape),p=[];if(s.rank===1){for(let f=0;fs.rank===1?B(z(z(e,Pn(B(h,[1,1,1,s.shape[0]]),p)),l),r.shape):B(z(z(e,h),l),r.shape),mean:()=>{let f=z(z(h,ye(-1)),c);return s.rank===1&&(f=fe(f,u)),B(f,s.shape)},variance:()=>{let f=z(z(m,d),c);return s.rank===1&&(f=fe(f,u)),B(f,s.shape)},scale:()=>{let f=z(d,h),g=z(e,f);return s.rank===1&&(g=fe(g,u)),B(g,s.shape)},offset:()=>{let f=e;return s.rank===1&&(f=fe(f,u)),B(f,s.shape)}}}},sW={kernelName:zl,inputsToSave:["x","indices"],gradFunc:(e,t,n)=>{let[a,r]=t,{axis:s}=n,i=Ea(s,a.shape)[0];return{x:()=>{let o=a.shape,l=r.size,u=o.slice(0,i),p=u.length,d=o.slice(s,o.length).slice(1),c=d.length,h=Z1(0,p),m=Z1(p+1,p+1+c),f=J1([u,[l],d]),g=B(e,f),b=B(r,[l]),y=J1([[p],h,m]),x=Ce(g,y),w=Jm(x,b,a.shape[i]),I=hv(y);return w=Ce(w,I),w},indices:()=>r}}};function Z1(e,t){let n=[];for(let a=e;a{let[n,a]=t;return{a:()=>je(n),b:()=>je(a)}}},oW={kernelName:Di,gradFunc:e=>({x:()=>oe(e,"float32")})},lW={kernelName:Vl,gradFunc:e=>({x:()=>je(e)})},uW={kernelName:Ul,gradFunc:e=>({x:()=>je(e)})},pW={kernelName:Gl,gradFunc:e=>({x:()=>je(e)})},cW={kernelName:Ri,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{alpha:r}=n,s=Vn(a,0);return{x:()=>mn(s,e,z(e,r))}}},dW={kernelName:ql,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,Y(n,1))}}},hW={kernelName:Mi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,oe(n,"float32"))}}},mW={kernelName:_I,inputsToSave:[],outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a]=t,{axis:r}=n;return{logits:()=>{let s=fn(a);return pe(e,z(fe(e,r,!0),s))}}}};function fW(e,t,n,a=5,r=1,s=1,i=.5){let o={x:e,y:t,dy:n},l={depthRadius:a,bias:r,alpha:s,beta:i};return O.runKernel(dm,o,l)}var gW=L({localResponseNormalizationBackprop_:fW}),bW={kernelName:uc,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a,r]=t,{depthRadius:s,bias:i,alpha:o,beta:l}=n;return{x:()=>gW(a,r,e,s,i,o,l)}}};function ET(e,t,n,a){return t.rankz(e,oe(Jn(n,t),e.dtype))}}var Q1={kernelName:Pi,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let a=n,{reductionIndices:r}=a,s=t[0],i=t[1],o=Ea(r,s.shape),l=ET(e,i,s,o);return{x:()=>l.x()}}},yW={kernelName:Oi,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t;return{a:()=>z(e,oe(ys(n,a),"float32")),b:()=>z(e,oe(Mm(n,a),"float32"))}}};function xW(e,t,n,a,r,s,i){let o=_(e,"dy","maxPool3dGrad"),l=_(t,"input","maxPool3dGrad"),u=_(n,"output","maxPool3dGrad"),p=o,d=l,c=u,h=!1;l.rank===4&&(h=!0,p=B(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]]),d=B(l,[1,l.shape[0],l.shape[1],l.shape[2],l.shape[3]]),c=B(u,[1,u.shape[0],u.shape[1],u.shape[2],u.shape[3]])),$(p.rank===5,()=>`Error in maxPool3dGrad: dy must be rank 5 but got rank ${p.rank}.`),$(d.rank===5,()=>`Error in maxPool3dGrad: input must be rank 5 but got rank ${d.rank}.`),$(c.rank===5,()=>`Error in maxPool3dGrad: output must be rank 5 but got rank ${c.rank}.`),Sn("maxPool3dGrad",s,i);let m={dy:p,input:d,output:c},f={filterSize:a,strides:r,pad:s,dimRoundingMode:i},g=O.runKernel(mm,m,f);return h?B(g,[g.shape[1],g.shape[2],g.shape[3],g.shape[4]]):g}var vW=L({maxPool3dGrad_:xW}),wW={kernelName:pc,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a,r]=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=n;return{x:()=>vW(e,a,r,s,i,o,l)}}};function kW(e,t,n,a,r,s,i){let o=_(e,"dy","maxPoolGrad"),l=_(t,"input","maxPoolGrad"),u=_(n,"output","maxPoolGrad");$(l.rank===o.rank,()=>`Rank of input (${l.rank}) does not match rank of dy (${o.rank})`),$(o.rank===4,()=>`Error in maxPoolGrad: dy must be rank 4 but got rank ${o.rank}.`),$(l.rank===4,()=>`Error in maxPoolGrad: input must be rank 4 but got rank ${l.rank}.`),Sn("maxPoolGrad",s,i);let p={dy:o,input:l,output:u},d={filterSize:a,strides:r,pad:s,dimRoundingMode:i};return O.runKernel(hm,p,d)}var IW=L({maxPoolGrad_:kW}),SW={kernelName:Li,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a,r]=t,{filterSize:s,strides:i,pad:o}=n;return{x:()=>IW(e,a,r,s,i,o)}}},TW={kernelName:zi,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{axis:r}=n,s=Ea(r,a.shape),i=AS(a.shape,s)[1],o=mt(i);return{x:()=>{let l=a.shape.slice();s.forEach(p=>{l[p]=1});let u=B(e,l);return he(z(u,Yn(a.shape,"float32")),o)}}}},NW={kernelName:Bi,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let a=n,{axis:r}=a,[s,i]=t,o=Ea(r,s.shape),l=ET(e,i,s,o);return{x:()=>l.x()}}},CW={kernelName:Wi,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t;return{a:()=>z(e,oe(xs(n,a),"float32")),b:()=>z(e,oe(Vn(n,a),"float32"))}}},_W={kernelName:Vi,inputsToSave:["x"],gradFunc:(e,t,n)=>{let a=t[0],{paddings:r}=n,s=r.map(i=>i[0]);return{x:()=>We(e,s,a.shape)}}},EW={kernelName:Zl,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=lt(n.shape,a.shape);return{a:()=>{let s=Bt(n.shape,r);return s.length>0?B(fe(e,s),n.shape):e},b:()=>{let s=z(e,yt(Nu(he(n,a)))),i=Bt(a.shape,r);return i.length>0?B(fe(s,i),a.shape):s}}}},AW={kernelName:Ui,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=lt(n.shape,a.shape);return{a:()=>{let s=z(e,oe(a,"float32")),i=Bt(n.shape,r);return i.length>0?B(fe(s,i),n.shape):s},b:()=>{let s=z(e,oe(n,"float32")),i=Bt(a.shape,r);return i.length>0?B(fe(s,i),a.shape):s}}}},$W={kernelName:Jl,gradFunc:e=>({x:()=>yt(e)})},FW={kernelName:Gi,inputsToSave:["indices"],gradFunc:(e,t)=>{let n=t[0];return{indices:()=>It(n.shape,"float32")}}},DW={kernelName:au,gradFunc:e=>({x:()=>je(e)})},RW={kernelName:ru,saveAllInputs:!0,gradFunc:(e,t,n)=>{let{axis:a}=n;return ct(e,a).map(r=>()=>r)}},ek={kernelName:Hi,inputsToSave:["x"],gradFunc:(e,t,n)=>{let a=t[0],{paddings:r}=n,s=r.map(i=>i[0]);return{x:()=>We(e,s,a.shape)}}},MW={kernelName:ji,inputsToSave:["a","b"],outputsToSave:[!0],gradFunc:(e,t)=>{let[n,a,r]=t,s=n,i=a,o=lt(s.shape,i.shape);return{a:()=>{let l=oe(i,"float32"),u=z(e,z(l,_r(s,pe(l,ye(1))))),p=Bt(s.shape,o);return p.length>0&&(u=fe(u,p)),B(u,s.shape)},b:()=>{let l=Vn(s,0),u=mn(l,Qn(s),je(s)),p=z(e,z(r,u)),d=Bt(i.shape,o);return d.length>0&&(p=fe(p,d)),B(p,i.shape)}}}},PW={kernelName:qi,inputsToSave:["x","alpha"],gradFunc:(e,t)=>{let[n,a]=t,r=Vn(n,0);return{x:()=>mn(r,e,z(e,a)),alpha:()=>{let s=mn(r,je(e),z(e,n)),i=Bt(a.shape,e.shape);return i.length>0&&(s=fe(s,i)),B(s,a.shape)}}}};function OW(e,t,n){let a=e.shape.slice();a[n]=1;let r=B(t,a),s=Hp(e,n,!0,!1),i=Hp(e,n,!0,!0),o=z(s,i);return z(r,o)}function LW(e,t,n){let a=e.shape.length,r=a-n.length,s=N.getAxesPermutation(n,a),i=e;s!=null&&(i=Ce(e,s));let o=i.shape.slice(),l=o.splice(a-n.length,n.length).reduce((d,c)=>d*c,1);o.push(l);let u=i.reshape(o),p=OW(u,t,r);if(p=p.reshape(i.shape),s!=null){let d=N.getUndoAxesPermutation(s);p=Ce(p,d)}return p}var zW={kernelName:Ki,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{axis:r}=n,s=[];return r==null?s=a.shape.map((i,o)=>o):typeof r=="number"?s=[r]:s=r,{x:()=>LW(a,e,s)}}},BW={kernelName:Ni,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=lt(n.shape,a.shape);return{a:()=>{let s=he(e,oe(a,"float32")),i=Bt(n.shape,r);return i.length>0?B(fe(s,i),n.shape):s},b:()=>{let s=z(e,oe(n,"float32")),i=Bt(a.shape,r);i.length>0&&(s=B(fe(s,i),a.shape));let o=ot(a);return yt(he(s,oe(o,"float32")))}}}},WW={kernelName:su,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,yt(ot(n)))}}},VW={kernelName:Ji,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t,a=z(xs(n,6),fo(n));return{x:()=>z(e,oe(a,"float32"))}}},UW={kernelName:Xi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,oe(fo(n),"float32"))}}},GW={kernelName:iu,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>B(e,n.shape)}}},HW={kernelName:Zi,inputsToSave:["images"],gradFunc:(e,t,n)=>{let[a]=t,r={dy:e,images:a};return{images:()=>O.runKernel(wm,r,n)}}},jW={kernelName:Yi,inputsToSave:["images"],gradFunc:(e,t,n)=>{let[a]=t,r={dy:e,images:a};return{images:()=>O.runKernel(vm,r,n)}}},qW={kernelName:Qi,gradFunc:(e,t,n)=>{let{dims:a}=n,r=Ea(a,e.shape);return{x:()=>ma(e,r)}}},KW={kernelName:eo,gradFunc:e=>({x:()=>je(e)})},XW={kernelName:to,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>yt(he(e,z(_r(n,1.5),2)))}}},YW={kernelName:lu,inputsToSave:["condition"],gradFunc:(e,t)=>{let[n]=t;return{condition:()=>oe(je(n),"float32"),t:()=>z(e,oe(n,e.dtype)),e:()=>z(e,oe(Fc(n),e.dtype))}}},ZW={kernelName:uu,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=Vn(n,ye(0)),r=ye(TT),s=ye(NT),i=z(e,s),o=z(z(e,r),fn(oe(n,"float32")));return mn(a,i,o)}}}},JW={kernelName:ao,outputsToSave:[!0],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,z(n,pe(ye(1),n)))}}},QW={kernelName:du,gradFunc:e=>({x:()=>je(e)})},e4={kernelName:no,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(Ec(oe(n,"float32")),e)}}},t4={kernelName:cu,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(Fm(oe(n,"float32")),e)}}},n4={kernelName:pu,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{begin:r,size:s}=n,i=a.shape,[o,l]=mS(a,r,s),u=[];for(let p=0;pga(e,u)}}},a4={kernelName:io,outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a]=t,{dim:r}=n,s=!0,i=z(e,a);return{logits:()=>pe(i,z(fe(i,[r],s),a))}}},r4={kernelName:hu,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,da(n))}}},tk={kernelName:mu,gradFunc:(e,t,n)=>{let{blockShape:a,paddings:r}=n;return{x:()=>_c(e,a,r)}}},nk={kernelName:fu,gradFunc:(e,t,n)=>{let{axis:a}=n;return{x:()=>Ze(e,a)}}},s4={kernelName:ro,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,z(on(oe(n,"float32")),2))}}},i4={kernelName:fc,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,z(oe(n,"float32"),2))}}},o4={kernelName:oo,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=ye(2);return{a:()=>z(e,z(r,pe(n,a))),b:()=>z(e,z(r,pe(a,n)))}}},l4={kernelName:hs,gradFunc:e=>({x:()=>je(e)})},u4={kernelName:lo,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=lt(n.shape,a.shape);return{a:()=>{let s=e,i=Bt(n.shape,r);return i.length>0&&(s=fe(s,i)),B(s,n.shape)},b:()=>{let s=e,i=Bt(a.shape,r);return i.length>0&&(s=fe(s,i)),B(yt(s),a.shape)}}}},p4={kernelName:so,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,r=a.shape.slice(),{axis:s}=n;Ea(s,a.shape).forEach(l=>{r[l]=1});let i=B(e,r),o=z(i,Yn(a.shape,"float32"));return{x:()=>o}}},c4={kernelName:uo,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,ot(Ec(n)))}}},d4={kernelName:po,outputsToSave:[!0],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(pe(ye(1),ot(n)),e)}}},h4={kernelName:ds,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{reps:r}=n;return{x:()=>{let s=je(a);if(a.rank===1)for(let i=0;i{let a=n,{perm:r}=a,s=hv(r);return{x:()=>Ce(e,s)}}},f4={kernelName:vu,gradFunc:(e,t,n)=>{let a=n,{axis:r}=a;return{value:()=>Ft(e,r)}}},g4={kernelName:xc,inputsToSave:["segmentIds"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>b4(e,n)}}};function b4(e,t){let n=ur(t,je(t)),a=Cu(e,n),r=ys(t,ye(0,"int32")),s=a.rank-r.rank;for(let o=0;o({x:()=>je(e)})},x4=[_T,gB,bB,yB,xB,vB,wB,kB,IB,SB,TB,NB,EB,FB,DB,RB,MB,PB,OB,LB,zB,BB,VB,WB,HB,jB,qB,KB,XB,YB,BW,ZB,JB,QB,eW,tW,aW,nW,rW,sW,iW,oW,lW,uW,pW,cW,dW,hW,mW,bW,Q1,Q1,yW,wW,SW,TW,NW,CW,_W,EW,AW,$W,FW,DW,RW,ek,ek,MW,PW,zW,WW,VW,UW,GW,HW,jW,qW,KW,XW,YW,ZW,JW,QW,e4,t4,n4,a4,r4,tk,tk,nk,nk,s4,o4,i4,l4,u4,p4,c4,d4,h4,m4,f4,g4,y4];for(let e of x4)EI(e);J().prototype.abs=function(){return this.throwIfDisposed(),Lt(this)};J().prototype.acos=function(){return this.throwIfDisposed(),zx(this)};J().prototype.acosh=function(){return this.throwIfDisposed(),Bx(this)};J().prototype.add=function(e){return this.throwIfDisposed(),Y(this,e)};J().prototype.all=function(e,t){return this.throwIfDisposed(),Em(this,e,t)};J().prototype.any=function(e,t){return this.throwIfDisposed(),Gp(this,e,t)};J().prototype.argMax=function(e){return this.throwIfDisposed(),ai(this,e)};J().prototype.argMin=function(e){return this.throwIfDisposed(),Wx(this,e)};J().prototype.asScalar=function(){return this.throwIfDisposed(),$(this.size===1,()=>"The array must have only 1 element."),B(this,[])};J().prototype.asType=function(e){return this.throwIfDisposed(),oe(this,e)};J().prototype.as1D=function(){return this.throwIfDisposed(),B(this,[this.size])};J().prototype.as2D=function(e,t){return this.throwIfDisposed(),B(this,[e,t])};J().prototype.as3D=function(e,t,n){return this.throwIfDisposed(),B(this,[e,t,n])};J().prototype.as4D=function(e,t,n,a){return this.throwIfDisposed(),B(this,[e,t,n,a])};J().prototype.as5D=function(e,t,n,a,r){return this.throwIfDisposed(),B(this,[e,t,n,a,r])};J().prototype.asin=function(){return this.throwIfDisposed(),Vx(this)};J().prototype.asinh=function(){return this.throwIfDisposed(),Ux(this)};J().prototype.atan=function(){return this.throwIfDisposed(),Gx(this)};J().prototype.atan2=function(e){return this.throwIfDisposed(),Hx(this,e)};J().prototype.atanh=function(){return this.throwIfDisposed(),jx(this)};J().prototype.avgPool=function(e,t,n,a){return this.throwIfDisposed(),fa(this,e,t,n,a)};J().prototype.batchToSpaceND=function(e,t){return this.throwIfDisposed(),_c(this,e,t)};J().prototype.batchNorm=function(e,t,n,a,r){return this.throwIfDisposed(),gs(this,e,t,n,a,r)};J().prototype.broadcastTo=function(e){return this.throwIfDisposed(),Ks(this,e)};J().prototype.cast=function(e){return this.throwIfDisposed(),oe(this,e)};J().prototype.ceil=function(){return this.throwIfDisposed(),Qx(this)};J().prototype.clipByValue=function(e,t){return this.throwIfDisposed(),Qt(this,e,t)};J().prototype.concat=function(e,t){return this.throwIfDisposed(),e instanceof Te&&(e=[e]),Ze([this,...e],t)};J().prototype.conv1d=function(e,t,n,a,r,s){return this.throwIfDisposed(),Am(this,e,t,n,a,r,s)};J().prototype.conv2dTranspose=function(e,t,n,a,r){return this.throwIfDisposed(),$m(this,e,t,n,a,r)};J().prototype.conv2d=function(e,t,n,a,r,s){return this.throwIfDisposed(),$t(this,e,t,n,a,r,s)};J().prototype.cos=function(){return this.throwIfDisposed(),Ec(this)};J().prototype.cosh=function(){return this.throwIfDisposed(),Fm(this)};J().prototype.cumprod=function(e,t,n){return this.throwIfDisposed(),Hp(this,e,t,n)};J().prototype.cumsum=function(e,t,n){return this.throwIfDisposed(),Dm(this,e,t,n)};J().prototype.depthToSpace=function(e,t){return this.throwIfDisposed(),ov(this,e,t)};J().prototype.depthwiseConv2d=function(e,t,n,a,r,s){return this.throwIfDisposed(),bs(this,e,t,n,a,r,s)};J().prototype.dilation2d=function(e,t,n,a,r){return this.throwIfDisposed(),lv(this,e,t,n,a,r)};J().prototype.divNoNan=function(e){return this.throwIfDisposed(),uv(this,e)};J().prototype.div=function(e){return this.throwIfDisposed(),he(this,e)};J().prototype.dot=function(e){return this.throwIfDisposed(),pv(this,e)};J().prototype.elu=function(){return this.throwIfDisposed(),Su(this)};J().prototype.equal=function(e){return this.throwIfDisposed(),Jn(this,e)};J().prototype.erf=function(){return this.throwIfDisposed(),cv(this)};J().prototype.euclideanNorm=function(e,t){return this.throwIfDisposed(),mv(this,e,t)};J().prototype.exp=function(){return this.throwIfDisposed(),fn(this)};J().prototype.expandDims=function(e){return this.throwIfDisposed(),hn(this,e)};J().prototype.expm1=function(){return this.throwIfDisposed(),fv(this)};J().prototype.fft=function(){return this.throwIfDisposed(),Oc(this)};J().prototype.flatten=function(){return this.throwIfDisposed(),B(this,[this.size])};J().prototype.floor=function(){return this.throwIfDisposed(),Nu(this)};J().prototype.floorDiv=function(e){return this.throwIfDisposed(),_m(this,e)};J().prototype.gather=function(e,t){return this.throwIfDisposed(),Cu(this,e,t)};J().prototype.greaterEqual=function(e){return this.throwIfDisposed(),ys(this,e)};J().prototype.greater=function(e){return this.throwIfDisposed(),Vn(this,e)};J().prototype.ifft=function(){return this.throwIfDisposed(),ol(this)};J().prototype.irfft=function(){return this.throwIfDisposed(),Xm(this)};J().prototype.isFinite=function(){return this.throwIfDisposed(),gv(this)};J().prototype.isInf=function(){return this.throwIfDisposed(),bv(this)};J().prototype.isNaN=function(){return this.throwIfDisposed(),yv(this)};J().prototype.leakyRelu=function(e){return this.throwIfDisposed(),Ac(this,e)};J().prototype.lessEqual=function(e){return this.throwIfDisposed(),xs(this,e)};J().prototype.less=function(e){return this.throwIfDisposed(),Mm(this,e)};J().prototype.localResponseNormalization=function(e,t,n,a){return this.throwIfDisposed(),xv(this,e,t,n,a)};J().prototype.logSigmoid=function(){return this.throwIfDisposed(),vv(this)};J().prototype.logSoftmax=function(e){return this.throwIfDisposed(),Om(this,e)};J().prototype.logSumExp=function(e,t){return this.throwIfDisposed(),Lm(this,e,t)};J().prototype.log=function(){return this.throwIfDisposed(),Qn(this)};J().prototype.log1p=function(){return this.throwIfDisposed(),$c(this)};J().prototype.logicalAnd=function(e){return this.throwIfDisposed(),_a(this,e)};J().prototype.logicalNot=function(){return this.throwIfDisposed(),Fc(this)};J().prototype.logicalOr=function(e){return this.throwIfDisposed(),zm(this,e)};J().prototype.logicalXor=function(e){return this.throwIfDisposed(),wv(this,e)};J().prototype.matMul=function(e,t,n){return this.throwIfDisposed(),Ae(this,e,t,n)};J().prototype.maxPool=function(e,t,n,a){return this.throwIfDisposed(),Dt(this,e,t,n,a)};J().prototype.max=function(e,t){return this.throwIfDisposed(),Na(this,e,t)};J().prototype.maximum=function(e){return this.throwIfDisposed(),ur(this,e)};J().prototype.mean=function(e,t){return this.throwIfDisposed(),Nt(this,e,t)};J().prototype.min=function(e,t){return this.throwIfDisposed(),jp(this,e,t)};J().prototype.minimum=function(e){return this.throwIfDisposed(),_u(this,e)};J().prototype.mirrorPad=function(e,t){return this.throwIfDisposed(),Iv(this,e,t)};J().prototype.mod=function(e){return this.throwIfDisposed(),Sv(this,e)};J().prototype.mul=function(e){return this.throwIfDisposed(),z(this,e)};J().prototype.neg=function(){return this.throwIfDisposed(),yt(this)};J().prototype.norm=function(e,t,n){return this.throwIfDisposed(),Tu(this,e,t,n)};J().prototype.notEqual=function(e){return this.throwIfDisposed(),ii(this,e)};J().prototype.oneHot=function(e,t=1,n=0){return this.throwIfDisposed(),al(this,e,t,n)};J().prototype.onesLike=function(){return this.throwIfDisposed(),ea(this)};J().prototype.pad=function(e,t){return this.throwIfDisposed(),ga(this,e,t)};J().prototype.pool=function(e,t,n,a,r,s){return this.throwIfDisposed(),Tv(this,e,t,n,a,r,s)};J().prototype.pow=function(e){return this.throwIfDisposed(),_r(this,e)};J().prototype.prelu=function(e){return this.throwIfDisposed(),Mc(this,e)};J().prototype.prod=function(e,t){return this.throwIfDisposed(),Nv(this,e,t)};J().prototype.reciprocal=function(){return this.throwIfDisposed(),Ev(this)};J().prototype.relu=function(){return this.throwIfDisposed(),Xe(this)};J().prototype.relu6=function(){return this.throwIfDisposed(),Vm(this)};J().prototype.reshapeAs=function(e){return this.throwIfDisposed(),B(this,e.shape)};J().prototype.reshape=function(e){return this.throwIfDisposed(),B(this,e)};J().prototype.resizeBilinear=function(e,t,n){return this.throwIfDisposed(),yT(this,e,t,n)};J().prototype.resizeNearestNeighbor=function(e,t,n){return this.throwIfDisposed(),xT(this,e,t,n)};J().prototype.reverse=function(e){return this.throwIfDisposed(),ma(this,e)};J().prototype.rfft=function(){return this.throwIfDisposed(),Lc(this)};J().prototype.round=function(){return this.throwIfDisposed(),Um(this)};J().prototype.rsqrt=function(){return this.throwIfDisposed(),Gm(this)};J().prototype.selu=function(){return this.throwIfDisposed(),Hm(this)};J().prototype.separableConv2d=function(e,t,n,a,r,s){return this.throwIfDisposed(),vs(this,e,t,n,a,r,s)};J().prototype.sigmoid=function(){return this.throwIfDisposed(),da(this)};J().prototype.sign=function(){return this.throwIfDisposed(),Av(this)};J().prototype.sin=function(){return this.throwIfDisposed(),jm(this)};J().prototype.sinh=function(){return this.throwIfDisposed(),qm(this)};J().prototype.slice=function(e,t){return this.throwIfDisposed(),We(this,e,t)};J().prototype.softmax=function(e){return this.throwIfDisposed(),ja(this,e)};J().prototype.softplus=function(){return this.throwIfDisposed(),ho(this)};J().prototype.spaceToBatchND=function(e,t){return this.throwIfDisposed(),Rc(this,e,t)};J().prototype.split=function(e,t){return this.throwIfDisposed(),Ln(this,e,t)};J().prototype.sqrt=function(){return this.throwIfDisposed(),on(this)};J().prototype.square=function(){return this.throwIfDisposed(),ot(this)};J().prototype.squaredDifference=function(e){return this.throwIfDisposed(),Ym(this,e)};J().prototype.squeeze=function(e){return this.throwIfDisposed(),ws(this,e)};J().prototype.stack=function(e,t){this.throwIfDisposed();let n=e instanceof Te?[this,e]:[this,...e];return Ft(n,t)};J().prototype.step=function(e){return this.throwIfDisposed(),fo(this,e)};J().prototype.stridedSlice=function(e,t,n,a,r,s,i,o){return this.throwIfDisposed(),$v(this,e,t,n,a,r,s,i,o)};J().prototype.sub=function(e){return this.throwIfDisposed(),pe(this,e)};J().prototype.sum=function(e,t){return this.throwIfDisposed(),fe(this,e,t)};J().prototype.tan=function(){return this.throwIfDisposed(),Fv(this)};J().prototype.tanh=function(){return this.throwIfDisposed(),ri(this)};J().prototype.tile=function(e){return this.throwIfDisposed(),Pn(this,e)};J().prototype.toBool=function(){return this.throwIfDisposed(),oe(this,"bool")};J().prototype.toFloat=function(){return this.throwIfDisposed(),oe(this,"float32")};J().prototype.toInt=function(){return this.throwIfDisposed(),oe(this,"int32")};J().prototype.topk=function(e,t){return this.throwIfDisposed(),Dv(this,e,t)};J().prototype.transpose=function(e){return this.throwIfDisposed(),Ce(this,e)};J().prototype.unique=function(e){return this.throwIfDisposed(),Rv(this,e)};J().prototype.unsortedSegmentSum=function(e,t){return this.throwIfDisposed(),Jm(this,e,t)};J().prototype.unstack=function(e){return this.throwIfDisposed(),ct(this,e)};J().prototype.where=function(e,t){return this.throwIfDisposed(),mn(e,this,t)};J().prototype.zerosLike=function(){return this.throwIfDisposed(),je(this)};var xr=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,xr.prototype)}},La=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,La.prototype)}},V=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,V.prototype)}},De=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,De.prototype)}},AT=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,AT.prototype)}},$T=class{constructor(e){this.maxEntries=e||100,this.cache=new Map}get(e){let t;return this.cache.has(e)&&(t=this.cache.get(e),this.cache.delete(e),this.cache.set(e,t)),t}put(e,t){if(this.cache.has(e))this.cache.delete(e);else if(this.cache.size>=this.maxEntries){let n=this.cache.keys().next().value;this.cache.delete(n)}this.cache.set(e,t)}getMaxEntries(){return this.maxEntries}setMaxEntries(e){if(e<0)throw new Error(`The maxEntries of LRU caches must be at least 0, but got ${e}.`);if(this.maxEntries>e)for(let t=0;tn.toUpperCase())}var wa={};function Gv(e){if(e==null)return null;let t={};return t.className=e.getClassName(),t.config=e.getConfig(),t}function Dy(e){if(!(e==null||typeof e!="object"))if(Array.isArray(e))e.forEach(t=>Dy(t));else{let t=Object.keys(e);for(let n of t){let a=e[n];a!=null&&typeof a=="object"&&(!Array.isArray(a)&&a.type==="ndarray"&&typeof a.value=="number"?e[n]=a.value:Dy(a))}}}function Bc(e,t={},n={},a="object",r=!1){if(typeof e=="string"){let s=e,i;if(s in n)i=n[s];else if(s in wa)i=wa[s];else if(i=t[s],i==null)throw new V(`Unknown ${a}: ${e}. This may be due to one of the following reasons: + ${s.shape}`);let i={data:a,indices:r,segmentIds:s};return O.runKernel(gc,i)}var xz=L({sparseSegmentSum_:yz});function vz(e,t,n,a,r,s,i,o){let l=_(e,"data","stringNGrams","string");if(l.dtype!=="string")throw new Error("Data must be of datatype string");if(l.shape.length!==1)throw new Error(`Data must be a vector, saw: ${l.shape}`);let u=_(t,"dataSplits","stringNGrams");if(u.dtype!=="int32")throw new Error("Data splits must be of datatype int32");let p={separator:n,nGramWidths:a,leftPad:r,rightPad:s,padWidth:i,preserveShortSequences:o},d={data:l,dataSplits:u},c=O.runKernel(yc,d,p);return{nGrams:c[0],nGramsSplits:c[1]}}var wz=L({stringNGrams_:vz});function kz(e,t,n=!0){let a=_(e,"input","stringSplit","string"),r=_(t,"delimiter","stringSplit","string");if(a.rank!==1)throw new Error(`Input should be Tensor1D but received shape ${a.shape}`);if(r.rank!==0)throw new Error(`Delimiter should be a scalar but received shape ${r.shape}`);let s={skipEmpty:n},i={input:a,delimiter:r},o=O.runKernel(xc,i,s);return{indices:o[0],values:o[1],shape:o[2]}}var Iz=L({stringSplit_:kz});function Sz(e,t){let n=_(e,"input","stringToHashBucketFast","string"),a={numBuckets:t};if(t<=0)throw new Error("Number of buckets must be at least 1");let r={input:n};return O.runKernel(vc,r,a)}var Tz=L({stringToHashBucketFast_:Sz}),CT={fft:zc,ifft:ul,rfft:Wc,irfft:Zm},_T={hammingWindow:aL,hannWindow:vT,frame:wT,stft:oL},za={flipLeftRight:cL,grayscaleToRGB:hL,resizeNearestNeighbor:NT,resizeBilinear:TT,rotateWithOffset:fL,cropAndResize:uL,nonMaxSuppression:bL,nonMaxSuppressionAsync:TL,nonMaxSuppressionWithScore:CL,nonMaxSuppressionWithScoreAsync:EL,nonMaxSuppressionPadded:$L,nonMaxSuppressionPaddedAsync:DL,threshold:LL,transform:WL},Uv={bandPart:VL,gramSchmidt:GL,qr:jL},ET={absoluteDifference:XL,computeWeightedLoss:Ar,cosineDistance:ZL,hingeLoss:QL,huberLoss:tz,logLoss:az,meanSquaredError:sz,sigmoidCrossEntropy:lz,softmaxCrossEntropy:cz},AT={sparseFillEmptyRows:hz,sparseReshape:fz,sparseSegmentMean:bz,sparseSegmentSum:xz},$T={stringNGrams:wz,stringSplit:Iz,stringToHashBucketFast:Tz},$r=class extends kS{minimize(e,t=!1,n){let{value:a,grads:r}=this.computeGradients(e,n);if(n!=null){let s=n.map(i=>({name:i.name,tensor:r[i.name]}));this.applyGradients(s)}else this.applyGradients(r);return _e(r),t?a:(a.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(e,t){return WS(e,t)}dispose(){this.iterations_!=null&&_e(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:"iter",tensor:ye(this.iterations_,"int32")}}async getWeights(){throw new Error("getWeights() is not implemented for this optimizer yet.")}async setWeights(e){throw new Error(`setWeights() is not implemented for this optimizer class ${this.getClassName()}`)}async extractIterations(e){return this.iterations_=(await e[0].tensor.data())[0],e.slice(1)}};Object.defineProperty($r,Symbol.hasInstance,{value:e=>e.minimize!=null&&e.computeGradients!=null&&e.applyGradients!=null});var of=class extends $r{constructor(e,t,n=null){super(),this.learningRate=e,this.rho=t,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],n==null&&(this.epsilon=O.backend.epsilon())}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=O.registeredVariables[t],r=!1;this.accumulatedGrads[n]==null&&(this.accumulatedGrads[n]={originalName:`${t}/accum_grad`,variable:P(()=>qe(a).variable(r))}),this.accumulatedUpdates[n]==null&&(this.accumulatedUpdates[n]={originalName:`${t}/accum_var`,variable:P(()=>qe(a).variable(r))});let s=Array.isArray(e)?e[n].tensor:e[t];if(s==null)return;let i=this.accumulatedGrads[n].variable,o=this.accumulatedUpdates[n].variable;P(()=>{let l=Y(z(i,this.rho),z(ot(s),1-this.rho)),u=z(he(ln(Y(o,this.epsilon)),ln(Y(i,this.epsilon))),s),p=Y(z(o,this.rho),z(ot(u),1-this.rho));i.assign(l),o.assign(p);let d=Y(z(u,-this.learningRate),a);a.assign(d)})}),this.incrementIterations()}dispose(){this.accumulatedUpdates!=null&&(_e(this.accumulatedGrads.map(e=>e.variable)),_e(this.accumulatedUpdates.map(e=>e.variable)))}async getWeights(){let e=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=e.length/2,n=!1;this.accumulatedGrads=e.slice(0,t).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})),this.accumulatedUpdates=e.slice(t,t*2).map(a=>({originalName:a.name,variable:a.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.rho,t.epsilon)}};of.className="Adadelta";gs(of);var lf=class extends $r{constructor(e,t=.1){super(),this.learningRate=e,this.initialAccumulatorValue=t,this.accumulatedGrads=[]}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=O.registeredVariables[t];this.accumulatedGrads[n]==null&&(this.accumulatedGrads[n]={originalName:`${t}/accumulator`,variable:P(()=>gn(a.shape,this.initialAccumulatorValue).variable(!1))});let r=Array.isArray(e)?e[n].tensor:e[t];if(r==null)return;let s=this.accumulatedGrads[n].variable;P(()=>{let i=Y(s,ot(r));s.assign(i);let o=Y(z(he(r,ln(Y(i,O.backend.epsilon()))),-this.learningRate),a);a.assign(o)})}),this.incrementIterations()}dispose(){this.accumulatedGrads!=null&&_e(this.accumulatedGrads.map(e=>e.variable))}async getWeights(){return[await this.saveIterations()].concat(this.accumulatedGrads.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=!1;this.accumulatedGrads=e.map(n=>({originalName:n.name,variable:n.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}static fromConfig(e,t){return new e(t.learningRate,t.initialAccumulatorValue)}};lf.className="Adagrad";gs(lf);var uf=class extends $r{constructor(e,t,n,a=null){super(),this.learningRate=e,this.beta1=t,this.beta2=n,this.epsilon=a,this.accumulatedFirstMoment=[],this.accumulatedSecondMoment=[],P(()=>{this.accBeta1=ye(t).variable(),this.accBeta2=ye(n).variable()}),a==null&&(this.epsilon=O.backend.epsilon())}applyGradients(e){let t=Array.isArray(e)?e.map(n=>n.name):Object.keys(e);P(()=>{let n=pe(1,this.accBeta1),a=pe(1,this.accBeta2);t.forEach((r,s)=>{let i=O.registeredVariables[r],o=!1;this.accumulatedFirstMoment[s]==null&&(this.accumulatedFirstMoment[s]={originalName:`${r}/m`,variable:P(()=>qe(i).variable(o))}),this.accumulatedSecondMoment[s]==null&&(this.accumulatedSecondMoment[s]={originalName:`${r}/v`,variable:P(()=>qe(i).variable(o))});let l=Array.isArray(e)?e[s].tensor:e[r];if(l==null)return;let u=this.accumulatedFirstMoment[s].variable,p=this.accumulatedSecondMoment[s].variable,d=Y(z(u,this.beta1),z(l,1-this.beta1)),c=Y(z(p,this.beta2),z(ot(l),1-this.beta2)),h=he(d,n),m=he(c,a);u.assign(d),p.assign(c);let f=Y(z(he(h,Y(ln(m),this.epsilon)),-this.learningRate),i);i.assign(f)}),this.accBeta1.assign(z(this.accBeta1,this.beta1)),this.accBeta2.assign(z(this.accBeta2,this.beta2))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.accBeta2.dispose(),this.accumulatedFirstMoment!=null&&_e(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedSecondMoment!=null&&_e(this.accumulatedSecondMoment.map(e=>e.variable))}async getWeights(){let e=[...this.accumulatedFirstMoment,...this.accumulatedSecondMoment];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e),P(()=>{this.accBeta1.assign(_r(this.beta1,this.iterations_+1)),this.accBeta2.assign(_r(this.beta2,this.iterations_+1))});let t=e.length/2,n=!1;this.accumulatedFirstMoment=e.slice(0,t).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})),this.accumulatedSecondMoment=e.slice(t,t*2).map(a=>({originalName:a.name,variable:a.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)}};uf.className="Adam";gs(uf);var pf=class extends $r{constructor(e,t,n,a=null,r=0){super(),this.learningRate=e,this.beta1=t,this.beta2=n,this.epsilon=a,this.decay=r,this.accumulatedFirstMoment=[],this.accumulatedWeightedInfNorm=[],P(()=>{this.iteration=ye(0).variable(),this.accBeta1=ye(t).variable()}),a==null&&(this.epsilon=O.backend.epsilon())}applyGradients(e){let t=Array.isArray(e)?e.map(n=>n.name):Object.keys(e);P(()=>{let n=pe(1,this.accBeta1),a=he(-this.learningRate,Y(z(this.iteration,this.decay),1));t.forEach((r,s)=>{let i=O.registeredVariables[r],o=!1;this.accumulatedFirstMoment[s]==null&&(this.accumulatedFirstMoment[s]={originalName:`${r}/m`,variable:qe(i).variable(o)}),this.accumulatedWeightedInfNorm[s]==null&&(this.accumulatedWeightedInfNorm[s]={originalName:`${r}/v`,variable:qe(i).variable(o)});let l=Array.isArray(e)?e[s].tensor:e[r];if(l==null)return;let u=this.accumulatedFirstMoment[s].variable,p=this.accumulatedWeightedInfNorm[s].variable,d=Y(z(u,this.beta1),z(l,1-this.beta1)),c=z(p,this.beta2),h=Lt(l),m=pr(c,h);u.assign(d),p.assign(m);let f=Y(z(he(a,n),he(d,Y(m,this.epsilon))),i);i.assign(f)}),this.iteration.assign(Y(this.iteration,1)),this.accBeta1.assign(z(this.accBeta1,this.beta1))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.iteration.dispose(),this.accumulatedFirstMoment!=null&&_e(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedWeightedInfNorm!=null&&_e(this.accumulatedWeightedInfNorm.map(e=>e.variable))}async getWeights(){throw new Error("getWeights() is not implemented for Adamax yet.")}async setWeights(e){throw new Error("setWeights() is not implemented for Adamax yet.")}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)}};pf.className="Adamax";gs(pf);var Bc=class extends $r{constructor(e){super(),this.learningRate=e,this.setLearningRate(e)}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=Array.isArray(e)?e[n].tensor:e[t];if(a==null)return;let r=O.registeredVariables[t];P(()=>{let s=Y(z(this.c,a),r);r.assign(s)})}),this.incrementIterations()}setLearningRate(e){this.learningRate=e,this.c!=null&&this.c.dispose(),this.c=Jt(ye(-e))}dispose(){this.c.dispose()}async getWeights(){return[await this.saveIterations()]}async setWeights(e){if(e=await this.extractIterations(e),e.length!==0)throw new Error("SGD optimizer does not have settable weights.")}getConfig(){return{learningRate:this.learningRate}}static fromConfig(e,t){return new e(t.learningRate)}};Bc.className="SGD";gs(Bc);var cf=class extends Bc{constructor(e,t,n=!1){super(e),this.learningRate=e,this.momentum=t,this.useNesterov=n,this.accumulations=[],this.m=ye(this.momentum)}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=O.registeredVariables[t];this.accumulations[n]==null&&(this.accumulations[n]={originalName:`${t}/momentum`,variable:P(()=>qe(a).variable(!1))});let r=this.accumulations[n].variable,s=Array.isArray(e)?e[n].tensor:e[t];s!=null&&P(()=>{let i,o=Y(z(this.m,r),s);this.useNesterov?i=Y(z(this.c,Y(s,z(o,this.m))),a):i=Y(z(this.c,o),a),r.assign(o),a.assign(i)})}),this.incrementIterations()}dispose(){this.m.dispose(),this.accumulations!=null&&_e(this.accumulations.map(e=>e.variable))}setMomentum(e){this.momentum=e}async getWeights(){return[await this.saveIterations()].concat(this.accumulations.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=!1;this.accumulations=e.map(n=>({originalName:n.name,variable:n.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}static fromConfig(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)}};cf.className="Momentum";gs(cf);var df=class extends $r{constructor(e,t=.9,n=0,a=null,r=!1){if(super(),this.learningRate=e,this.decay=t,this.momentum=n,this.epsilon=a,this.accumulatedMeanSquares=[],this.accumulatedMoments=[],this.accumulatedMeanGrads=[],this.centered=r,a==null&&(this.epsilon=O.backend.epsilon()),e==null)throw new Error("learningRate for RMSPropOptimizer must be defined.")}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=O.registeredVariables[t],r=!1;this.accumulatedMeanSquares[n]==null&&(this.accumulatedMeanSquares[n]={originalName:`${t}/rms`,variable:P(()=>qe(a).variable(r))}),this.accumulatedMoments[n]==null&&(this.accumulatedMoments[n]={originalName:`${t}/momentum`,variable:P(()=>qe(a).variable(r))}),this.accumulatedMeanGrads[n]==null&&this.centered&&(this.accumulatedMeanGrads[n]={originalName:`${t}/mg`,variable:P(()=>qe(a).variable(r))});let s=Array.isArray(e)?e[n].tensor:e[t];if(s==null)return;let i=this.accumulatedMeanSquares[n].variable,o=this.accumulatedMoments[n].variable;P(()=>{let l=Y(z(i,this.decay),z(ot(s),1-this.decay));if(this.centered){let u=this.accumulatedMeanGrads[n].variable,p=Y(z(u,this.decay),z(s,1-this.decay)),d=he(z(s,this.learningRate),ln(pe(l,Y(ot(p),this.epsilon)))),c=Y(z(o,this.momentum),d);i.assign(l),u.assign(p),o.assign(c);let h=pe(a,c);a.assign(h)}else{let u=Y(z(i,this.decay),z(ot(s),1-this.decay)),p=Y(z(o,this.momentum),he(z(s,this.learningRate),ln(Y(u,this.epsilon))));i.assign(u),o.assign(p);let d=pe(a,p);a.assign(d)}})}),this.incrementIterations()}dispose(){this.accumulatedMeanSquares!=null&&_e(this.accumulatedMeanSquares.map(e=>e.variable)),this.accumulatedMeanGrads!=null&&this.centered&&_e(this.accumulatedMeanGrads.map(e=>e.variable)),this.accumulatedMoments!=null&&_e(this.accumulatedMoments.map(e=>e.variable))}async getWeights(){let e=[...this.accumulatedMeanSquares,...this.accumulatedMoments];return this.centered&&e.push(...this.accumulatedMeanGrads),[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=this.centered?e.length/3:e.length/2,n=!1;this.accumulatedMeanSquares=e.slice(0,t).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})),this.accumulatedMoments=e.slice(t,t*2).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})),this.centered&&(this.accumulatedMeanGrads=e.slice(t*2,t*3).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})))}getConfig(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}}static fromConfig(e,t){return new e(t.learningRate,t.decay,t.momentum,t.epsilon,t.centered)}};df.className="RMSProp";gs(df);var Hr=class{static sgd(e){return new Bc(e)}static momentum(e,t,n=!1){return new cf(e,t,n)}static rmsprop(e,t=.9,n=0,a=null,r=!1){return new df(e,t,n,a,r)}static adam(e=.001,t=.9,n=.999,a=null){return new uf(e,t,n,a)}static adadelta(e=.001,t=.95,n=null){return new of(e,t,n)}static adamax(e=.002,t=.9,n=.999,a=null,r=0){return new pf(e,t,n,a,r)}static adagrad(e,t=.1){return new lf(e,t)}},zs={sgd:Hr.sgd,momentum:Hr.momentum,adadelta:Hr.adadelta,adagrad:Hr.adagrad,rmsprop:Hr.rmsprop,adamax:Hr.adamax,adam:Hr.adam},Nz=(()=>typeof requestAnimationFrame!="undefined"?requestAnimationFrame:typeof setImmediate!="undefined"?setImmediate:e=>e())();function Gv(){return new Promise(e=>Nz(()=>e()))}var N={};Ae(N,{ERF_A1:()=>Bz,ERF_A2:()=>Vz,ERF_A3:()=>Uz,ERF_A4:()=>Gz,ERF_A5:()=>Hz,ERF_P:()=>Wz,PARALLELIZE_THRESHOLD:()=>Hv,RowPartitionType:()=>er,SELU_SCALE:()=>DT,SELU_SCALEALPHA:()=>FT,applyActivation:()=>rf,assertAndGetBroadcastShape:()=>lt,assertAxesAreInnerMostDims:()=>$P,assertParamsConsistent:()=>Cz,assignToTypedArray:()=>Zz,axesAreInnerMostDims:()=>mv,calculateShapes:()=>dS,checkEinsumDimSizes:()=>aW,checkPadOnDimRoundingMode:()=>Tn,combineLocations:()=>MS,combineRaggedTensorToTensorShapes:()=>Ez,complexWithEvenIndex:()=>Kz,complexWithOddIndex:()=>Xz,computeConv2DInfo:()=>Ec,computeConv3DInfo:()=>_S,computeDefaultPad:()=>Xx,computeDilation2DInfo:()=>FM,computeOptimalWindowSize:()=>Dz,computeOutAndReduceShapes:()=>PS,computeOutShape:()=>_z,computePool2DInfo:()=>CS,computePool3DInfo:()=>DM,convertConv2DDataFormat:()=>ES,decodeEinsumEquation:()=>tW,eitherStridesOrDilationsAreOne:()=>ur,expandShapeToKeepDim:()=>si,exponent:()=>Qz,exponents:()=>Jz,fromStringArrayToUint8:()=>SW,fromUint8ToStringArray:()=>IW,getAxesPermutation:()=>OS,getBroadcastDims:()=>uS,getComplexWithIndex:()=>Yz,getEinsumComputePath:()=>rW,getEinsumPermutation:()=>nW,getFusedBiasGradient:()=>af,getFusedDyActivation:()=>nf,getImageCenter:()=>Rz,getInnerMostAxes:()=>FP,getPermuted:()=>Pz,getRaggedRank:()=>$z,getReductionAxes:()=>Wt,getReshaped:()=>Mz,getReshapedPermuted:()=>Oz,getRowPartitionTypesHelper:()=>Az,getSliceBeginCoords:()=>Lz,getSliceSize:()=>zz,getSparseFillEmptyRowsIndicesDenseShapeMismatch:()=>lW,getSparseFillEmptyRowsNegativeIndexErrorMessage:()=>uW,getSparseFillEmptyRowsOutOfRangeIndexErrorMessage:()=>pW,getSparseReshapeEmptyTensorZeroOutputDimErrorMessage:()=>hW,getSparseReshapeInputOutputMismatchErrorMessage:()=>fW,getSparseReshapeInputOutputMultipleErrorMessage:()=>mW,getSparseReshapeMultipleNegativeOneOutputDimErrorMessage:()=>cW,getSparseReshapeNegativeOutputDimErrorMessage:()=>dW,getSparseSegmentReductionIndicesOutOfRangeErrorMessage:()=>xW,getSparseSegmentReductionNegativeSegmentIdsErrorMessage:()=>gW,getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage:()=>bW,getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage:()=>yW,getUndoAxesPermutation:()=>fv,isIdentityPermutation:()=>sW,log:()=>XF,mergeRealAndImagArrays:()=>jz,prepareAndValidate:()=>cS,prepareSplitSize:()=>oW,segment_util:()=>RT,shouldFuse:()=>sf,slice_util:()=>jt,splitRealAndImagArrays:()=>qz,tupleValuesAreOne:()=>ns,upcastType:()=>ma,validateDefaultValueShape:()=>Fz,validateInput:()=>Lx,validateUpdateShape:()=>Ox,warn:()=>qr});function Cz(e,t){let n=e[0].length;e.forEach((r,s)=>{$(r.length===n,()=>`Error in concat${n}D: rank of tensors[${s}] must be the same as the rank of the rest (${n})`)}),$(t>=0&&t`Error in concat${n}D: axis must be between 0 and ${n-1}.`);let a=e[0];e.forEach((r,s)=>{for(let i=0;i`Error in concat${n}D: Shape of tensors[${s}] (${r}) does not match the shape of the rest (${a}) along the non-concatenated axis ${s}.`)})}function _z(e,t){let n=e[0].slice();for(let a=1;a=0)if(o>=0){if(o!==s)throw new Error(`rt input.shape and shape=${t} are incompatible: rt input.shape[${r+e}] = ${s} but shape[${r+e}] = ${o}`)}else a[i]=s}return a}function Az(e){let t={FIRST_DIM_SIZE:er.FIRST_DIM_SIZE,VALUE_ROWIDS:er.VALUE_ROWIDS,ROW_LENGTHS:er.ROW_LENGTHS,ROW_SPLITS:er.ROW_SPLITS,ROW_LIMITS:er.ROW_LIMITS,ROW_STARTS:er.ROW_STARTS},n=[];for(let a of e)if(a in t)n.push(t[a]);else break;return n}function $z(e){return e.length===0?0:e[0]===er.FIRST_DIM_SIZE?e.length-1:e.length}function Fz(e,t){if(e==null||t==null)return;let n=e.length,a=t.length;if(n>=a)throw new Error(`defaultValue.shape=${e} and ragged tensor flatValues.shape=${t}, are incompatible: defaultValue.rank = ${n} must be less than ragged tensor input flatValues.rank = ${a})`);for(let r=0;r=0&&i>=0&&s!==1&&s!==i)throw new Error(`defaultValue.shape=${e}, and ragged tensor input flatValues.shape=${t} are incompatible: defaultValue.shape[${r-e.length}] = ${s} but ragged tensor input.flatValues.shape[${r-e.length}] = ${i}`)}}var Hv=30;function Dz(e){return e<=Hv?e:mh(e,Math.floor(Math.sqrt(e)))}function Rz(e,t,n){let a=n*(typeof e=="number"?e:e[0]),r=t*(typeof e=="number"?e:e[1]);return[a,r]}function Mz(e,t,n,a=!0){let r=[];if(a)r=r.concat(t.slice(0)),r.push(e[0]/n),r=r.concat(e.slice(1));else{r=r.concat(e[0]);let s=t.length;for(let i=0;i=t*2+1||i%2===1?s.push(i):r.push(i);a.push(...r),a.push(0),a.push(...s)}return a}function Oz(e,t,n,a=!0){let r=[];a?r.push(e[0]/n):r.push(e[0]*n);for(let s=1;s/g,Q1=",",ek="...";function tW(e,t){e=e.replace(/\s/g,"");let n=(e.length-e.replace(eW,"").length)/uy.length;if(n<1)throw new Error("Equations without an arrow are not supported.");if(n>1)throw new Error(`Equation must contain exactly one arrow ("${uy}").`);let[a,r]=e.split(uy);$(a.indexOf(ek)===-1,()=>`The ellipsis notation ("${ek}") is not supported yet.`);let s=a.split(Q1),i=s.length;if(t!==i)throw new Error(`Expected ${i} input tensors, received ${t}`);if(i>2)throw new Error("Support for more than 2 input tensors is not implemented yet.");let o=[];for(let c=0;cm.indexOf(h)!==-1))throw new Error(`Output subscripts contain the label ${h} not present in the input subscripts.`);o.indexOf(h)===-1&&o.push(h)}for(let c=0;cr!==-1),{permutationIndices:n,expandDims:a}}function aW(e,t,n){let a=new Array(e);for(let r=0;r`Expected dimension ${a[t[r][i]]} at axis ${i} of input shaped ${JSON.stringify(s)}, but got dimension ${s[i]}`)}}function rW(e,t){let n=e,a=[],r=0;e.length===0&&n.push(-1),r=e.length+1;for(let i=0;it===n)}function iW(e,t){let n=[];for(let a=0;a"Number of splits must evenly divide the axis."),a=new Array(t).fill(e.shape[n]/t);else{let r=t.reduce((i,o)=>(o===-1&&(i+=1),i),0);$(r<=1,()=>"There should be only one negative value in split array.");let s=t.indexOf(-1);if(s!==-1){let i=t.reduce((o,l)=>l>0?o+l:o);t[s]=e.shape[n]-i}$(e.shape[n]===t.reduce((i,o)=>i+o),()=>"The sum of sizes must match the size of the axis dimension."),a=t}return a}function lW(e){return`Received SparseTensor with denseShape[0] = 0 but + indices.shape[0] = ${e}`}function uW(e,t){return`indices(${e}, 0) is invalid: ${t} < 0`}function pW(e,t,n){return`indices(${e}, 0) is invalid: ${t} >= ${n}`}function cW(e,t){return`only one output dimension may be -1, not both ${e} and ${t}`}function dW(e,t){return`size ${e} must be non-negative, not ${t}`}function hW(){return"reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero"}function mW(e,t){let n=mt(e),a=mt(t);return`Input to reshape is a SparseTensor with ${n} + dense values, but the requested shape requires a multiple of ${a}. inputShape=${e} outputShape= ${t}`}function fW(e,t){let n=mt(e),a=mt(t);return`Input to reshape is a tensor with ${n} dense values, but the requested shape has ${a}. inputShape=${e} outputShape=${t}`}function gW(){return"segment ids must be >= 0"}function bW(){return"segment ids are not increasing"}function yW(e,t){return`Segment id ${e} out of range [0, ${t}), possibly because segmentIds input is not sorted.`}function xW(e,t,n){return`Bad: indices[${e}] == ${t} out of range [0, ${n})`}var RT={};Ae(RT,{collectGatherOpShapeInfo:()=>kW,computeOutShape:()=>wW,segOpComputeOptimalWindowSize:()=>vW});function vW(e,t){let n=!1,a;for(e<=Hv?(a=e,n=!0):a=mh(e,Math.floor(Math.sqrt(e)));!n;)a>t||a===e?n=!0:a=mh(e,a+1);return a}function wW(e,t,n){let a=[],r=e.length;for(let s=0;sr))throw new Error(`Expect batchDims in the range of [-${r}, ${r}], but got ${a}`);if(a<0&&(a+=r),a>s)throw new Error(`batchDims (${a}) must be less than rank(x) ( + ${s}).`);if(nvh(t))}catch(t){throw new Error(`Failed to decode encoded string bytes into utf-8, error: ${t}`)}}function SW(e){return e.map(t=>Sc(t))}var cr={};Ae(cr,{nonMaxSuppressionV3Impl:()=>kT,nonMaxSuppressionV4Impl:()=>IT,nonMaxSuppressionV5Impl:()=>ST,whereImpl:()=>cT});var MT={kernelName:wl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,fo(oe(n,"float32"),-1))}}},TW={kernelName:kl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=ot(oe(n,"float32")),r=ln(pe(ye(1),a));return yt(he(e,r))}}}},NW={kernelName:Il,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=ln(pe(ot(oe(n,"float32")),1));return he(e,a)}}}},CW={kernelName:cs,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=lt(n.shape,a.shape);return{a:()=>{let s=e,i=Wt(n.shape,r);return i.length>0&&(s=fe(s,i)),W(s,n.shape)},b:()=>{let s=e,i=Wt(a.shape,r);return i.length>0&&(s=fe(s,i)),W(s,a.shape)}}}},_W={kernelName:mi,saveAllInputs:!0,gradFunc:(e,t)=>{let n={};return t.forEach((a,r)=>{n[r]=()=>e.clone()}),n}},EW={kernelName:fi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>qe(n)}}},AW={kernelName:sc,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>qe(n)}}},$W={kernelName:Nl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,ln(pe(ye(1),ot(oe(n,"float32")))))}}},FW={kernelName:Cl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=ln(Y(ye(1),ot(oe(n,"float32"))));return he(e,a)}}}},DW={kernelName:Al,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=lt(n.shape,a.shape);return{a:()=>{let s=Y(ot(n),ot(a)),i=z(e,he(a,s)),o=Wt(n.shape,r);return o.length>0&&(i=fe(i,o)),W(i,n.shape)},b:()=>{let s=Y(ot(n),ot(a)),i=yt(z(e,he(n,s))),o=Wt(a.shape,r);return o.length>0&&(i=fe(i,o)),W(i,a.shape)}}}},RW={kernelName:_l,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,Y(ot(oe(n,"float32")),1))}}},MW={kernelName:El,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,pe(ye(1),ot(oe(n,"float32"))))}}};function PW(e,t,n,a,r,s){let i=_(e,"dy","avgPool3dGrad"),o=_(t,"input","avgPool3dGrad"),l=i,u=o,p=!1;o.rank===4&&(p=!0,l=W(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]]),u=W(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]])),$(l.rank===5,()=>`Error in avgPool3dGrad: dy must be rank 5 but got rank ${l.rank}.`),$(u.rank===5,()=>`Error in avgPool3dGrad: input must be rank 5 but got rank ${u.rank}.`),Tn("avgPool3dGrad",r,s);let d={dy:l,input:u},c={filterSize:n,strides:a,pad:r,dimRoundingMode:s},h=O.runKernel(Yh,d,c);return p?W(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}var OW=L({avgPool3dGrad_:PW}),LW={kernelName:ic,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{filterSize:r,strides:s,pad:i,dimRoundingMode:o}=n;return{x:()=>OW(e,a,r,s,i,o)}}};function zW(e,t,n,a,r){let s=_(e,"dy","avgPoolGrad"),i=_(t,"input","avgPoolGrad");$(i.rank===s.rank,()=>`Rank of input (${i.rank}) does not match rank of dy (${s.rank})`);let o=i,l=s,u=!1;i.rank===3&&(u=!0,o=W(i,[1,i.shape[0],i.shape[1],i.shape[2]]),l=W(s,[1,s.shape[0],s.shape[1],s.shape[2]])),$(l.rank===4,()=>`Error in avgPoolGrad: dy must be rank 4 but got rank ${l.rank}.`),$(o.rank===4,()=>`Error in avgPoolGrad: input must be rank 4 but got rank ${o.rank}.`);let p={dy:l,input:o},d={filterSize:n,strides:a,pad:r},c=O.runKernel(Xh,p,d);return u?W(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var WW=L({avgPoolGrad_:zW}),BW={kernelName:gi,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{filterSize:r,strides:s,pad:i}=n;return{x:()=>WW(e,a,r,s,i)}}},VW={kernelName:bi,inputsToSave:["a","b"],gradFunc:(e,t,n)=>{let[a,r]=t,{transposeA:s,transposeB:i}=n;return!s&&!i?{a:()=>Fe(e,r,!1,!0),b:()=>Fe(a,e,!0,!1)}:!s&&i?{a:()=>Fe(e,r,!1,!1),b:()=>Fe(e,a,!0,!1)}:s&&!i?{a:()=>Fe(r,e,!1,!0),b:()=>Fe(a,e,!1,!1)}:{a:()=>Fe(r,e,!0,!0),b:()=>Fe(e,a,!0,!0)}}},UW={kernelName:$l,gradFunc:(e,t,n)=>{let{blockShape:a,crops:r}=n;return{x:()=>Pc(e,a,r)}}},GW={kernelName:DI,gradFunc:(e,t,n)=>{let a=n,r=a.inputShape,s=a.shape,i=Array.from(s);for(let l=r.length-1;l>=0;l--)if(r[l]===s[l])i[l]=1;else if(r[l]!==1)throw new Error(`broadcastTo(): [${r}] cannot be broadcast to [${s}].`);let o=[];for(let l=0;l1&&o.push(l);return{x:()=>fe(e,o,!0)}}},HW={kernelName:yi,gradFunc:e=>({x:()=>e.clone()})},jW={kernelName:xi,gradFunc:e=>({x:()=>qe(e)})},qW={kernelName:ds,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{clipValueMin:r,clipValueMax:s}=n;return{x:()=>mn(Ea(Er(a,r),xs(a,s)),e,qe(e))}}},KW={kernelName:oc,inputsToSave:["x"],gradFunc:MT.gradFunc},XW={kernelName:Fl,saveAllInputs:!0,gradFunc:(e,t,n)=>{let a=t.map(o=>o.shape),{axis:r}=n,s=Aa(r,t[0].shape)[0],i=a.map(o=>o[s]);return zn(e,i,s).map(o=>()=>o)}},YW={kernelName:vi,inputsToSave:["x","filter"],gradFunc:(e,t,n)=>{let[a,r]=t,{dilations:s,strides:i,pad:o,dataFormat:l}=n;return $(ns(s),()=>`Error in gradient of conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`),{x:()=>iv(a.shape,e,r,i,o,l),filter:()=>Bv(a,e,r.shape,i,o,l)}}},ZW={kernelName:wi,inputsToSave:["dy","filter"],gradFunc:(e,t,n)=>{let[a,r]=t,{strides:s,pad:i,dataFormat:o,dimRoundingMode:l}=n;return{dy:()=>$t(e,r,s,i,o,1,l),filter:()=>Bv(e,a,r.shape,s,i,o,l)}}};function JW(e,t,n,a,r){let s=e;e.rank===4&&(s=W(e,[1,e.shape[0],e.shape[1],e.shape[2],e.shape[3]]));let i=t;i.rank===4&&(i=W(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]])),$(s.rank===5,()=>`Error in conv3dDerFilter: input must be rank 5, but got shape ${s.shape}.`),$(i.rank===5,()=>`Error in conv3dDerFilter: dy must be rank 5, but got shape ${i.shape}.`),$(n.length===5,()=>`Error in conv3dDerFilter: filterShape must be length 5, but got ${n}.`),$(s.shape[4]===n[3],()=>`Error in conv3dDerFilter: depth of input ${s.shape[4]}) must match input depth in filter (${n[3]}.`),$(i.shape[4]===n[4],()=>`Error in conv3dDerFilter: depth of dy (${i.shape[4]}) must match output depth for filter (${n[4]}).`);let o={x:s,dy:i},l={strides:a,pad:r,filterShape:n};return O.runKernel(tm,o,l)}var QW=L({conv3DBackpropFilter_:JW}),eB={kernelName:lc,inputsToSave:["x","filter"],gradFunc:(e,t,n)=>{let{dilations:a,strides:r,pad:s}=n;$(ns(a),()=>`Error in gradient of conv3D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${a}'`);let[i,o]=t;return{x:()=>FS(i.shape,e,o,r,s),filter:()=>QW(i,e,o.shape,r,s)}}},tB={kernelName:ki,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(yt(Km(oe(n,"float32"))),e)}}},nB={kernelName:Ii,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(Xm(oe(n,"float32")),e)}}},aB={kernelName:Si,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{axis:r,exclusive:s,reverse:i}=n;return{x:()=>{let o=OS([r],a.rank),l=Mm(e,r,s,!i);return o!=null&&(l=Ee(l,o)),l}}}},rB={kernelName:Ti,inputsToSave:["x","filter"],gradFunc:(e,t,n)=>{let{dilations:a,strides:r,pad:s,dimRoundingMode:i}=n,o=a==null?[1,1]:a;$(ns(o),()=>`Error in gradient of depthwiseConv2dNative: dilation rates greater than 1 are not yet supported. Got dilations '${o}'`);let[l,u]=t;return $(l.rank===4,()=>`Error in gradient of depthwiseConv2dNative: input must be rank 4, but got rank ${l.rank}.`),$(u.rank===4,()=>`Error in gradient of depthwiseConv2dNative: filter must be rank 4, but got rank ${u.rank}.`),$(l.shape[3]===u.shape[2],()=>`Error in gradient of depthwiseConv2d: number of input channels (${l.shape[3]}) must match the inChannels dimension in filter ${u.shape[2]}.`),$(ur(r,o),()=>`Error in gradient of depthwiseConv2d: Either strides or dilations must be 1. Got strides ${r} and dilations '${o}'.`),Tn("depthwiseConv2d",s,i),{x:()=>xT(l.shape,e,u,r,s,o,i),filter:()=>yT(l,e,u.shape,r,s,o,i)}}},sB={kernelName:uc,inputsToSave:["x","filter"],gradFunc:(e,t,n)=>{let[a,r]=t,s={x:a,filter:r,dy:e},i={x:a,filter:r,dy:e};return{x:()=>O.runKernel(fh,s,n),filter:()=>O.runKernel(gh,i,n)}}},iB={kernelName:Ci,outputsToSave:[!0],gradFunc:(e,t)=>{let[n]=t,a={dy:e,y:n};return{x:()=>O.runKernel(lm,a)}}},oB={kernelName:Pl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t,a=z(fn(yt(ot(n))),2/Math.sqrt(Math.PI));return{x:()=>z(e,a)}}},lB={kernelName:_i,outputsToSave:[!0],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,n)}}},uB={kernelName:Ll,inputsToSave:["input"],gradFunc:(e,t)=>{let[n]=t;return{input:()=>W(e,n.shape)}}},pB={kernelName:zl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,fn(n))}}},cB={kernelName:Ei,gradFunc:e=>({x:()=>qe(e)})},dB={kernelName:Ai,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=lt(n.shape,a.shape);return{a:()=>{let s=he(e,oe(a,"float32")),i=Wt(n.shape,r);return i.length>0?W(fe(s,i),n.shape):s},b:()=>{let s=z(e,oe(n,"float32")),i=Wt(a.shape,r);i.length>0&&(s=W(fe(s,i),a.shape));let o=ot(a);return yt(he(s,oe(o,"float32")))}}}},hB={kernelName:$i,inputsToSave:["x","mean","variance","scale"],gradFunc:(e,t,n)=>{let{varianceEpsilon:a}=n,[r,s,i,o]=t,l=o==null?ye(1):o,u=Wt(s.shape,r.shape),p=[];if(s.rank===1){for(let f=0;fs.rank===1?W(z(z(e,Ln(W(h,[1,1,1,s.shape[0]]),p)),l),r.shape):W(z(z(e,h),l),r.shape),mean:()=>{let f=z(z(h,ye(-1)),c);return s.rank===1&&(f=fe(f,u)),W(f,s.shape)},variance:()=>{let f=z(z(m,d),c);return s.rank===1&&(f=fe(f,u)),W(f,s.shape)},scale:()=>{let f=z(d,h),g=z(e,f);return s.rank===1&&(g=fe(g,u)),W(g,s.shape)},offset:()=>{let f=e;return s.rank===1&&(f=fe(f,u)),W(f,s.shape)}}}},mB={kernelName:Bl,inputsToSave:["x","indices"],gradFunc:(e,t,n)=>{let[a,r]=t,{axis:s}=n,i=Aa(s,a.shape)[0];return{x:()=>{let o=a.shape,l=r.size,u=o.slice(0,i),p=u.length,d=o.slice(s,o.length).slice(1),c=d.length,h=tk(0,p),m=tk(p+1,p+1+c),f=nk([u,[l],d]),g=W(e,f),b=W(r,[l]),y=nk([[p],h,m]),x=Ee(g,y),w=ef(x,b,a.shape[i]),I=fv(y);return w=Ee(w,I),w},indices:()=>r}}};function tk(e,t){let n=[];for(let a=e;a{let[n,a]=t;return{a:()=>qe(n),b:()=>qe(a)}}},gB={kernelName:Di,gradFunc:e=>({x:()=>oe(e,"float32")})},bB={kernelName:Gl,gradFunc:e=>({x:()=>qe(e)})},yB={kernelName:Hl,gradFunc:e=>({x:()=>qe(e)})},xB={kernelName:jl,gradFunc:e=>({x:()=>qe(e)})},vB={kernelName:Ri,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{alpha:r}=n,s=Nn(a,0);return{x:()=>mn(s,e,z(e,r))}}},wB={kernelName:Xl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,Y(n,1))}}},kB={kernelName:Mi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,oe(n,"float32"))}}},IB={kernelName:MI,inputsToSave:[],outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a]=t,{axis:r}=n;return{logits:()=>{let s=fn(a);return pe(e,z(fe(e,r,!0),s))}}}};function SB(e,t,n,a=5,r=1,s=1,i=.5){let o={x:e,y:t,dy:n},l={depthRadius:a,bias:r,alpha:s,beta:i};return O.runKernel(hm,o,l)}var TB=L({localResponseNormalizationBackprop_:SB}),NB={kernelName:cc,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a,r]=t,{depthRadius:s,bias:i,alpha:o,beta:l}=n;return{x:()=>TB(a,r,e,s,i,o,l)}}};function PT(e,t,n,a){return t.rankz(e,oe(Qn(n,t),e.dtype))}}var ak={kernelName:Pi,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let a=n,{reductionIndices:r}=a,s=t[0],i=t[1],o=Aa(r,s.shape),l=PT(e,i,s,o);return{x:()=>l.x()}}},CB={kernelName:Oi,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t;return{a:()=>z(e,oe(Er(n,a),"float32")),b:()=>z(e,oe(Om(n,a),"float32"))}}};function _B(e,t,n,a,r,s,i){let o=_(e,"dy","maxPool3dGrad"),l=_(t,"input","maxPool3dGrad"),u=_(n,"output","maxPool3dGrad"),p=o,d=l,c=u,h=!1;l.rank===4&&(h=!0,p=W(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]]),d=W(l,[1,l.shape[0],l.shape[1],l.shape[2],l.shape[3]]),c=W(u,[1,u.shape[0],u.shape[1],u.shape[2],u.shape[3]])),$(p.rank===5,()=>`Error in maxPool3dGrad: dy must be rank 5 but got rank ${p.rank}.`),$(d.rank===5,()=>`Error in maxPool3dGrad: input must be rank 5 but got rank ${d.rank}.`),$(c.rank===5,()=>`Error in maxPool3dGrad: output must be rank 5 but got rank ${c.rank}.`),Tn("maxPool3dGrad",s,i);let m={dy:p,input:d,output:c},f={filterSize:a,strides:r,pad:s,dimRoundingMode:i},g=O.runKernel(fm,m,f);return h?W(g,[g.shape[1],g.shape[2],g.shape[3],g.shape[4]]):g}var EB=L({maxPool3dGrad_:_B}),AB={kernelName:dc,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a,r]=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=n;return{x:()=>EB(e,a,r,s,i,o,l)}}};function $B(e,t,n,a,r,s,i){let o=_(e,"dy","maxPoolGrad"),l=_(t,"input","maxPoolGrad"),u=_(n,"output","maxPoolGrad");$(l.rank===o.rank,()=>`Rank of input (${l.rank}) does not match rank of dy (${o.rank})`),$(o.rank===4,()=>`Error in maxPoolGrad: dy must be rank 4 but got rank ${o.rank}.`),$(l.rank===4,()=>`Error in maxPoolGrad: input must be rank 4 but got rank ${l.rank}.`),Tn("maxPoolGrad",s,i);let p={dy:o,input:l,output:u},d={filterSize:a,strides:r,pad:s,dimRoundingMode:i};return O.runKernel(mm,p,d)}var FB=L({maxPoolGrad_:$B}),DB={kernelName:Li,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a,r]=t,{filterSize:s,strides:i,pad:o}=n;return{x:()=>FB(e,a,r,s,i,o)}}},RB={kernelName:zi,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{axis:r}=n,s=Aa(r,a.shape),i=PS(a.shape,s)[1],o=mt(i);return{x:()=>{let l=a.shape.slice();s.forEach(p=>{l[p]=1});let u=W(e,l);return he(z(u,Zn(a.shape,"float32")),o)}}}},MB={kernelName:Wi,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let a=n,{axis:r}=a,[s,i]=t,o=Aa(r,s.shape),l=PT(e,i,s,o);return{x:()=>l.x()}}},PB={kernelName:Bi,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t;return{a:()=>z(e,oe(xs(n,a),"float32")),b:()=>z(e,oe(Nn(n,a),"float32"))}}},OB={kernelName:Vi,inputsToSave:["x"],gradFunc:(e,t,n)=>{let a=t[0],{paddings:r}=n,s=r.map(i=>i[0]);return{x:()=>Be(e,s,a.shape)}}},LB={kernelName:Ql,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=lt(n.shape,a.shape);return{a:()=>{let s=Wt(n.shape,r);return s.length>0?W(fe(e,s),n.shape):e},b:()=>{let s=z(e,yt(_u(he(n,a)))),i=Wt(a.shape,r);return i.length>0?W(fe(s,i),a.shape):s}}}},zB={kernelName:Ui,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=lt(n.shape,a.shape);return{a:()=>{let s=z(e,oe(a,"float32")),i=Wt(n.shape,r);return i.length>0?W(fe(s,i),n.shape):s},b:()=>{let s=z(e,oe(n,"float32")),i=Wt(a.shape,r);return i.length>0?W(fe(s,i),a.shape):s}}}},WB={kernelName:eu,gradFunc:e=>({x:()=>yt(e)})},BB={kernelName:Gi,inputsToSave:["indices"],gradFunc:(e,t)=>{let n=t[0];return{indices:()=>It(n.shape,"float32")}}},VB={kernelName:su,gradFunc:e=>({x:()=>qe(e)})},UB={kernelName:iu,saveAllInputs:!0,gradFunc:(e,t,n)=>{let{axis:a}=n;return ct(e,a).map(r=>()=>r)}},rk={kernelName:Hi,inputsToSave:["x"],gradFunc:(e,t,n)=>{let a=t[0],{paddings:r}=n,s=r.map(i=>i[0]);return{x:()=>Be(e,s,a.shape)}}},GB={kernelName:ji,inputsToSave:["a","b"],outputsToSave:[!0],gradFunc:(e,t)=>{let[n,a,r]=t,s=n,i=a,o=lt(s.shape,i.shape);return{a:()=>{let l=oe(i,"float32"),u=z(e,z(l,_r(s,pe(l,ye(1))))),p=Wt(s.shape,o);return p.length>0&&(u=fe(u,p)),W(u,s.shape)},b:()=>{let l=Nn(s,0),u=mn(l,ea(s),qe(s)),p=z(e,z(r,u)),d=Wt(i.shape,o);return d.length>0&&(p=fe(p,d)),W(p,i.shape)}}}},HB={kernelName:qi,inputsToSave:["x","alpha"],gradFunc:(e,t)=>{let[n,a]=t,r=Nn(n,0);return{x:()=>mn(r,e,z(e,a)),alpha:()=>{let s=mn(r,qe(e),z(e,n)),i=Wt(a.shape,e.shape);return i.length>0&&(s=fe(s,i)),W(s,a.shape)}}}};function jB(e,t,n){let a=e.shape.slice();a[n]=1;let r=W(t,a),s=Kp(e,n,!0,!1),i=Kp(e,n,!0,!0),o=z(s,i);return z(r,o)}function qB(e,t,n){let a=e.shape.length,r=a-n.length,s=N.getAxesPermutation(n,a),i=e;s!=null&&(i=Ee(e,s));let o=i.shape.slice(),l=o.splice(a-n.length,n.length).reduce((d,c)=>d*c,1);o.push(l);let u=i.reshape(o),p=jB(u,t,r);if(p=p.reshape(i.shape),s!=null){let d=N.getUndoAxesPermutation(s);p=Ee(p,d)}return p}var KB={kernelName:Ki,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{axis:r}=n,s=[];return r==null?s=a.shape.map((i,o)=>o):typeof r=="number"?s=[r]:s=r,{x:()=>qB(a,e,s)}}},XB={kernelName:Ni,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=lt(n.shape,a.shape);return{a:()=>{let s=he(e,oe(a,"float32")),i=Wt(n.shape,r);return i.length>0?W(fe(s,i),n.shape):s},b:()=>{let s=z(e,oe(n,"float32")),i=Wt(a.shape,r);i.length>0&&(s=W(fe(s,i),a.shape));let o=ot(a);return yt(he(s,oe(o,"float32")))}}}},YB={kernelName:ou,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,yt(ot(n)))}}},ZB={kernelName:Ji,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t,a=z(xs(n,6),fo(n));return{x:()=>z(e,oe(a,"float32"))}}},JB={kernelName:Xi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,oe(fo(n),"float32"))}}},QB={kernelName:lu,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>W(e,n.shape)}}},e4={kernelName:Zi,inputsToSave:["images"],gradFunc:(e,t,n)=>{let[a]=t,r={dy:e,images:a};return{images:()=>O.runKernel(Im,r,n)}}},t4={kernelName:Yi,inputsToSave:["images"],gradFunc:(e,t,n)=>{let[a]=t,r={dy:e,images:a};return{images:()=>O.runKernel(km,r,n)}}},n4={kernelName:Qi,gradFunc:(e,t,n)=>{let{dims:a}=n,r=Aa(a,e.shape);return{x:()=>fa(e,r)}}},a4={kernelName:eo,gradFunc:e=>({x:()=>qe(e)})},r4={kernelName:to,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>yt(he(e,z(_r(n,1.5),2)))}}},s4={kernelName:pu,inputsToSave:["condition"],gradFunc:(e,t)=>{let[n]=t;return{condition:()=>oe(qe(n),"float32"),t:()=>z(e,oe(n,e.dtype)),e:()=>z(e,oe(Rc(n),e.dtype))}}},i4={kernelName:cu,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=Nn(n,ye(0)),r=ye(FT),s=ye(DT),i=z(e,s),o=z(z(e,r),fn(oe(n,"float32")));return mn(a,i,o)}}}},o4={kernelName:ao,outputsToSave:[!0],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,z(n,pe(ye(1),n)))}}},l4={kernelName:mu,gradFunc:e=>({x:()=>qe(e)})},u4={kernelName:no,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z($c(oe(n,"float32")),e)}}},p4={kernelName:hu,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(Rm(oe(n,"float32")),e)}}},c4={kernelName:du,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{begin:r,size:s}=n,i=a.shape,[o,l]=wS(a,r,s),u=[];for(let p=0;pba(e,u)}}},d4={kernelName:io,outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a]=t,{dim:r}=n,s=!0,i=z(e,a);return{logits:()=>pe(i,z(fe(i,[r],s),a))}}},h4={kernelName:fu,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,da(n))}}},sk={kernelName:gu,gradFunc:(e,t,n)=>{let{blockShape:a,paddings:r}=n;return{x:()=>Ac(e,a,r)}}},ik={kernelName:bu,gradFunc:(e,t,n)=>{let{axis:a}=n;return{x:()=>Ze(e,a)}}},m4={kernelName:ro,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,z(ln(oe(n,"float32")),2))}}},f4={kernelName:bc,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,z(oe(n,"float32"),2))}}},g4={kernelName:oo,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=ye(2);return{a:()=>z(e,z(r,pe(n,a))),b:()=>z(e,z(r,pe(a,n)))}}},b4={kernelName:ms,gradFunc:e=>({x:()=>qe(e)})},y4={kernelName:lo,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=lt(n.shape,a.shape);return{a:()=>{let s=e,i=Wt(n.shape,r);return i.length>0&&(s=fe(s,i)),W(s,n.shape)},b:()=>{let s=e,i=Wt(a.shape,r);return i.length>0&&(s=fe(s,i)),W(yt(s),a.shape)}}}},x4={kernelName:so,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,r=a.shape.slice(),{axis:s}=n;Aa(s,a.shape).forEach(l=>{r[l]=1});let i=W(e,r),o=z(i,Zn(a.shape,"float32"));return{x:()=>o}}},v4={kernelName:uo,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,ot($c(n)))}}},w4={kernelName:po,outputsToSave:[!0],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(pe(ye(1),ot(n)),e)}}},k4={kernelName:hs,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{reps:r}=n;return{x:()=>{let s=qe(a);if(a.rank===1)for(let i=0;i{let a=n,{perm:r}=a,s=fv(r);return{x:()=>Ee(e,s)}}},S4={kernelName:ku,gradFunc:(e,t,n)=>{let a=n,{axis:r}=a;return{value:()=>Ft(e,r)}}},T4={kernelName:wc,inputsToSave:["segmentIds"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>N4(e,n)}}};function N4(e,t){let n=pr(t,qe(t)),a=Eu(e,n),r=Er(t,ye(0,"int32")),s=a.rank-r.rank;for(let o=0;o({x:()=>qe(e)})},_4=[MT,TW,NW,CW,_W,EW,AW,$W,FW,DW,RW,MW,LW,BW,VW,UW,GW,HW,jW,qW,KW,XW,ZW,YW,eB,tB,nB,aB,rB,sB,XB,iB,oB,lB,uB,pB,dB,cB,hB,mB,fB,gB,bB,yB,xB,vB,wB,kB,IB,NB,ak,ak,CB,AB,DB,RB,MB,PB,OB,LB,zB,WB,BB,VB,UB,rk,rk,GB,HB,KB,YB,ZB,JB,QB,e4,t4,n4,a4,r4,s4,i4,o4,l4,u4,p4,c4,d4,h4,sk,sk,ik,ik,m4,g4,f4,b4,y4,x4,v4,w4,k4,I4,S4,T4,C4];for(let e of _4)PI(e);J().prototype.abs=function(){return this.throwIfDisposed(),Lt(this)};J().prototype.acos=function(){return this.throwIfDisposed(),Bx(this)};J().prototype.acosh=function(){return this.throwIfDisposed(),Vx(this)};J().prototype.add=function(e){return this.throwIfDisposed(),Y(this,e)};J().prototype.all=function(e,t){return this.throwIfDisposed(),$m(this,e,t)};J().prototype.any=function(e,t){return this.throwIfDisposed(),qp(this,e,t)};J().prototype.argMax=function(e){return this.throwIfDisposed(),ai(this,e)};J().prototype.argMin=function(e){return this.throwIfDisposed(),Ux(this,e)};J().prototype.asScalar=function(){return this.throwIfDisposed(),$(this.size===1,()=>"The array must have only 1 element."),W(this,[])};J().prototype.asType=function(e){return this.throwIfDisposed(),oe(this,e)};J().prototype.as1D=function(){return this.throwIfDisposed(),W(this,[this.size])};J().prototype.as2D=function(e,t){return this.throwIfDisposed(),W(this,[e,t])};J().prototype.as3D=function(e,t,n){return this.throwIfDisposed(),W(this,[e,t,n])};J().prototype.as4D=function(e,t,n,a){return this.throwIfDisposed(),W(this,[e,t,n,a])};J().prototype.as5D=function(e,t,n,a,r){return this.throwIfDisposed(),W(this,[e,t,n,a,r])};J().prototype.asin=function(){return this.throwIfDisposed(),Gx(this)};J().prototype.asinh=function(){return this.throwIfDisposed(),Hx(this)};J().prototype.atan=function(){return this.throwIfDisposed(),jx(this)};J().prototype.atan2=function(e){return this.throwIfDisposed(),qx(this,e)};J().prototype.atanh=function(){return this.throwIfDisposed(),Kx(this)};J().prototype.avgPool=function(e,t,n,a){return this.throwIfDisposed(),ga(this,e,t,n,a)};J().prototype.batchToSpaceND=function(e,t){return this.throwIfDisposed(),Ac(this,e,t)};J().prototype.batchNorm=function(e,t,n,a,r){return this.throwIfDisposed(),bs(this,e,t,n,a,r)};J().prototype.broadcastTo=function(e){return this.throwIfDisposed(),Ks(this,e)};J().prototype.cast=function(e){return this.throwIfDisposed(),oe(this,e)};J().prototype.ceil=function(){return this.throwIfDisposed(),tv(this)};J().prototype.clipByValue=function(e,t){return this.throwIfDisposed(),en(this,e,t)};J().prototype.concat=function(e,t){return this.throwIfDisposed(),e instanceof Te&&(e=[e]),Ze([this,...e],t)};J().prototype.conv1d=function(e,t,n,a,r,s){return this.throwIfDisposed(),Fm(this,e,t,n,a,r,s)};J().prototype.conv2dTranspose=function(e,t,n,a,r){return this.throwIfDisposed(),Dm(this,e,t,n,a,r)};J().prototype.conv2d=function(e,t,n,a,r,s){return this.throwIfDisposed(),$t(this,e,t,n,a,r,s)};J().prototype.cos=function(){return this.throwIfDisposed(),$c(this)};J().prototype.cosh=function(){return this.throwIfDisposed(),Rm(this)};J().prototype.cumprod=function(e,t,n){return this.throwIfDisposed(),Kp(this,e,t,n)};J().prototype.cumsum=function(e,t,n){return this.throwIfDisposed(),Mm(this,e,t,n)};J().prototype.depthToSpace=function(e,t){return this.throwIfDisposed(),uv(this,e,t)};J().prototype.depthwiseConv2d=function(e,t,n,a,r,s){return this.throwIfDisposed(),ys(this,e,t,n,a,r,s)};J().prototype.dilation2d=function(e,t,n,a,r){return this.throwIfDisposed(),pv(this,e,t,n,a,r)};J().prototype.divNoNan=function(e){return this.throwIfDisposed(),cv(this,e)};J().prototype.div=function(e){return this.throwIfDisposed(),he(this,e)};J().prototype.dot=function(e){return this.throwIfDisposed(),dv(this,e)};J().prototype.elu=function(){return this.throwIfDisposed(),Nu(this)};J().prototype.equal=function(e){return this.throwIfDisposed(),Qn(this,e)};J().prototype.erf=function(){return this.throwIfDisposed(),hv(this)};J().prototype.euclideanNorm=function(e,t){return this.throwIfDisposed(),gv(this,e,t)};J().prototype.exp=function(){return this.throwIfDisposed(),fn(this)};J().prototype.expandDims=function(e){return this.throwIfDisposed(),Zt(this,e)};J().prototype.expm1=function(){return this.throwIfDisposed(),bv(this)};J().prototype.fft=function(){return this.throwIfDisposed(),zc(this)};J().prototype.flatten=function(){return this.throwIfDisposed(),W(this,[this.size])};J().prototype.floor=function(){return this.throwIfDisposed(),_u(this)};J().prototype.floorDiv=function(e){return this.throwIfDisposed(),Am(this,e)};J().prototype.gather=function(e,t){return this.throwIfDisposed(),Eu(this,e,t)};J().prototype.greaterEqual=function(e){return this.throwIfDisposed(),Er(this,e)};J().prototype.greater=function(e){return this.throwIfDisposed(),Nn(this,e)};J().prototype.ifft=function(){return this.throwIfDisposed(),ul(this)};J().prototype.irfft=function(){return this.throwIfDisposed(),Zm(this)};J().prototype.isFinite=function(){return this.throwIfDisposed(),yv(this)};J().prototype.isInf=function(){return this.throwIfDisposed(),xv(this)};J().prototype.isNaN=function(){return this.throwIfDisposed(),vv(this)};J().prototype.leakyRelu=function(e){return this.throwIfDisposed(),Fc(this,e)};J().prototype.lessEqual=function(e){return this.throwIfDisposed(),xs(this,e)};J().prototype.less=function(e){return this.throwIfDisposed(),Om(this,e)};J().prototype.localResponseNormalization=function(e,t,n,a){return this.throwIfDisposed(),wv(this,e,t,n,a)};J().prototype.logSigmoid=function(){return this.throwIfDisposed(),kv(this)};J().prototype.logSoftmax=function(e){return this.throwIfDisposed(),zm(this,e)};J().prototype.logSumExp=function(e,t){return this.throwIfDisposed(),Wm(this,e,t)};J().prototype.log=function(){return this.throwIfDisposed(),ea(this)};J().prototype.log1p=function(){return this.throwIfDisposed(),Dc(this)};J().prototype.logicalAnd=function(e){return this.throwIfDisposed(),Ea(this,e)};J().prototype.logicalNot=function(){return this.throwIfDisposed(),Rc(this)};J().prototype.logicalOr=function(e){return this.throwIfDisposed(),Bm(this,e)};J().prototype.logicalXor=function(e){return this.throwIfDisposed(),Iv(this,e)};J().prototype.matMul=function(e,t,n){return this.throwIfDisposed(),Fe(this,e,t,n)};J().prototype.maxPool=function(e,t,n,a){return this.throwIfDisposed(),Dt(this,e,t,n,a)};J().prototype.max=function(e,t){return this.throwIfDisposed(),ha(this,e,t)};J().prototype.maximum=function(e){return this.throwIfDisposed(),pr(this,e)};J().prototype.mean=function(e,t){return this.throwIfDisposed(),Nt(this,e,t)};J().prototype.min=function(e,t){return this.throwIfDisposed(),il(this,e,t)};J().prototype.minimum=function(e){return this.throwIfDisposed(),Au(this,e)};J().prototype.mirrorPad=function(e,t){return this.throwIfDisposed(),Tv(this,e,t)};J().prototype.mod=function(e){return this.throwIfDisposed(),Nv(this,e)};J().prototype.mul=function(e){return this.throwIfDisposed(),z(this,e)};J().prototype.neg=function(){return this.throwIfDisposed(),yt(this)};J().prototype.norm=function(e,t,n){return this.throwIfDisposed(),Cu(this,e,t,n)};J().prototype.notEqual=function(e){return this.throwIfDisposed(),ii(this,e)};J().prototype.oneHot=function(e,t=1,n=0){return this.throwIfDisposed(),rl(this,e,t,n)};J().prototype.onesLike=function(){return this.throwIfDisposed(),ta(this)};J().prototype.pad=function(e,t){return this.throwIfDisposed(),ba(this,e,t)};J().prototype.pool=function(e,t,n,a,r,s){return this.throwIfDisposed(),Cv(this,e,t,n,a,r,s)};J().prototype.pow=function(e){return this.throwIfDisposed(),_r(this,e)};J().prototype.prelu=function(e){return this.throwIfDisposed(),Oc(this,e)};J().prototype.prod=function(e,t){return this.throwIfDisposed(),_v(this,e,t)};J().prototype.reciprocal=function(){return this.throwIfDisposed(),$v(this)};J().prototype.relu=function(){return this.throwIfDisposed(),Xe(this)};J().prototype.relu6=function(){return this.throwIfDisposed(),Gm(this)};J().prototype.reshapeAs=function(e){return this.throwIfDisposed(),W(this,e.shape)};J().prototype.reshape=function(e){return this.throwIfDisposed(),W(this,e)};J().prototype.resizeBilinear=function(e,t,n){return this.throwIfDisposed(),TT(this,e,t,n)};J().prototype.resizeNearestNeighbor=function(e,t,n){return this.throwIfDisposed(),NT(this,e,t,n)};J().prototype.reverse=function(e){return this.throwIfDisposed(),fa(this,e)};J().prototype.rfft=function(){return this.throwIfDisposed(),Wc(this)};J().prototype.round=function(){return this.throwIfDisposed(),Hm(this)};J().prototype.rsqrt=function(){return this.throwIfDisposed(),jm(this)};J().prototype.selu=function(){return this.throwIfDisposed(),qm(this)};J().prototype.separableConv2d=function(e,t,n,a,r,s){return this.throwIfDisposed(),vs(this,e,t,n,a,r,s)};J().prototype.sigmoid=function(){return this.throwIfDisposed(),da(this)};J().prototype.sign=function(){return this.throwIfDisposed(),Fv(this)};J().prototype.sin=function(){return this.throwIfDisposed(),Km(this)};J().prototype.sinh=function(){return this.throwIfDisposed(),Xm(this)};J().prototype.slice=function(e,t){return this.throwIfDisposed(),Be(this,e,t)};J().prototype.softmax=function(e){return this.throwIfDisposed(),Ka(this,e)};J().prototype.softplus=function(){return this.throwIfDisposed(),ho(this)};J().prototype.spaceToBatchND=function(e,t){return this.throwIfDisposed(),Pc(this,e,t)};J().prototype.split=function(e,t){return this.throwIfDisposed(),zn(this,e,t)};J().prototype.sqrt=function(){return this.throwIfDisposed(),ln(this)};J().prototype.square=function(){return this.throwIfDisposed(),ot(this)};J().prototype.squaredDifference=function(e){return this.throwIfDisposed(),Jm(this,e)};J().prototype.squeeze=function(e){return this.throwIfDisposed(),ws(this,e)};J().prototype.stack=function(e,t){this.throwIfDisposed();let n=e instanceof Te?[this,e]:[this,...e];return Ft(n,t)};J().prototype.step=function(e){return this.throwIfDisposed(),fo(this,e)};J().prototype.stridedSlice=function(e,t,n,a,r,s,i,o){return this.throwIfDisposed(),Dv(this,e,t,n,a,r,s,i,o)};J().prototype.sub=function(e){return this.throwIfDisposed(),pe(this,e)};J().prototype.sum=function(e,t){return this.throwIfDisposed(),fe(this,e,t)};J().prototype.tan=function(){return this.throwIfDisposed(),Rv(this)};J().prototype.tanh=function(){return this.throwIfDisposed(),ri(this)};J().prototype.tile=function(e){return this.throwIfDisposed(),Ln(this,e)};J().prototype.toBool=function(){return this.throwIfDisposed(),oe(this,"bool")};J().prototype.toFloat=function(){return this.throwIfDisposed(),oe(this,"float32")};J().prototype.toInt=function(){return this.throwIfDisposed(),oe(this,"int32")};J().prototype.topk=function(e,t){return this.throwIfDisposed(),Mv(this,e,t)};J().prototype.transpose=function(e){return this.throwIfDisposed(),Ee(this,e)};J().prototype.unique=function(e){return this.throwIfDisposed(),Pv(this,e)};J().prototype.unsortedSegmentSum=function(e,t){return this.throwIfDisposed(),ef(this,e,t)};J().prototype.unstack=function(e){return this.throwIfDisposed(),ct(this,e)};J().prototype.where=function(e,t){return this.throwIfDisposed(),mn(e,this,t)};J().prototype.zerosLike=function(){return this.throwIfDisposed(),qe(this)};var vr=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,vr.prototype)}},Wa=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,Wa.prototype)}},V=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,V.prototype)}},Re=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,Re.prototype)}},OT=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,OT.prototype)}},LT=class{constructor(e){this.maxEntries=e||100,this.cache=new Map}get(e){let t;return this.cache.has(e)&&(t=this.cache.get(e),this.cache.delete(e),this.cache.set(e,t)),t}put(e,t){if(this.cache.has(e))this.cache.delete(e);else if(this.cache.size>=this.maxEntries){let n=this.cache.keys().next().value;this.cache.delete(n)}this.cache.set(e,t)}getMaxEntries(){return this.maxEntries}setMaxEntries(e){if(e<0)throw new Error(`The maxEntries of LRU caches must be at least 0, but got ${e}.`);if(this.maxEntries>e)for(let t=0;tn.toUpperCase())}var ka={};function jv(e){if(e==null)return null;let t={};return t.className=e.getClassName(),t.config=e.getConfig(),t}function My(e){if(!(e==null||typeof e!="object"))if(Array.isArray(e))e.forEach(t=>My(t));else{let t=Object.keys(e);for(let n of t){let a=e[n];a!=null&&typeof a=="object"&&(!Array.isArray(a)&&a.type==="ndarray"&&typeof a.value=="number"?e[n]=a.value:My(a))}}}function Vc(e,t={},n={},a="object",r=!1){if(typeof e=="string"){let s=e,i;if(s in n)i=n[s];else if(s in ka)i=ka[s];else if(i=t[s],i==null)throw new V(`Unknown ${a}: ${e}. This may be due to one of the following reasons: 1. The ${a} is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code. 2. The custom ${a} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);return i}else{let s=e;if(s.className==null||s.config==null)throw new V(`${a}: Improper config format: ${JSON.stringify(s)}. -'className' and 'config' must set.`);let i=s.className,o,l;if(i in n?[o,l]=n[i]:i in wa?[o,l]=wa.className:i in t&&([o,l]=t[i]),o==null)throw new V(`Unknown ${a}: ${i}. This may be due to one of the following reasons: +'className' and 'config' must set.`);let i=s.className,o,l;if(i in n?[o,l]=n[i]:i in ka?[o,l]=ka.className:i in t&&([o,l]=t[i]),o==null)throw new V(`Unknown ${a}: ${i}. This may be due to one of the following reasons: 1. The ${a} is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code. -2. The custom ${a} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);if(l!=null){let u={};for(let h of Object.keys(wa))u[h]=wa[h];for(let h of Object.keys(n))u[h]=n[h];let p=s.config;p.customObjects=u;let d=Object.assign({},wa);for(let h of Object.keys(n))wa[h]=n[h];Dy(s.config);let c=l(o,s.config,n,r);return wa=Object.assign({},d),c}else{let u=Object.assign({},wa);for(let d of Object.keys(n))wa[d]=n[d];let p=new o(s.config);return wa=Object.assign({},u),p}}}function v4(e,t){return et?1:0}function Hd(e,t){return-1*v4(e,t)}function Zr(e){if(e==null)return e;let t=[];for(let n of e)t.indexOf(n)===-1&&t.push(n);return t}function w4(e){if(e==null)throw new V(`Invalid value in obj: ${JSON.stringify(e)}`);for(let t in e)if(e.hasOwnProperty(t))return!1;return!0}function go(e,t,n){if(n!=null&&e.indexOf(n)<0)throw new V(`${n} is not a valid ${t}. Valid values are ${e} or null/undefined.`)}function Hv(e,t,n=0,a=1/0){return er(n>=0),er(a>=n),Array.isArray(e)&&e.length>=n&&e.length<=a&&e.every(r=>typeof r===t)}function Jt(e,t){Array.isArray(e)?(v.assert(e.length>0,()=>`${t} is unexpectedly an empty array.`),e.forEach((n,a)=>Jt(n,`element ${a+1} of ${t}`))):v.assert(Number.isInteger(e)&&e>0,()=>`Expected ${t} to be a positive integer, but got ${FT(e)}.`)}function FT(e){return e===null?"null":Array.isArray(e)?"["+e.map(t=>FT(t)).join(",")+"]":typeof e=="string"?`"${e}"`:`${e}`}function k4(e,t,n){let a=n!=null?n():v.now(),r;return(...s)=>{let i=n!=null?n():v.now();return i-a0){let n=`${e}_${t}`;return Go.set(n,1),n}else return e}var $4=new RegExp(/^[A-Za-z0-9][-A-Za-z0-9\._\/]*$/);function LT(e){return!!e.match($4)}function F4(e){return e===parseInt(e.toString(),10)}function Jr(e,t,n){t==null&&(t=0),n==null&&(n=e.length);let a=1;for(let r=t;rt&&(t=a)}return t}function Ua(e,t){if(t{if(e.shape.length!==2)throw new V(`repeat() expects a rank-2 tensor, but received a rank-${e.shape.length} tensor.`);let n=Vc(e,1);return Ry(n,[1,t,1])})}function R4(e){let t=[Jr(e.shape)];return B(e,t)}function M4(e){if(e.rank<=1)throw new V(`batchFlatten requires a minimum rank of 2. Got rank: ${e.rank}.`);let t=[e.shape[0],Jr(e.shape,1)];return B(e,t)}function Ys(e,t,n){return P(()=>{switch(e.rank){case 1:return Pc(e,t,n);case 2:return Km(e,[t,0],[n,e.shape[1]]);case 3:return mo(e,[t,0,0],[n,e.shape[1],e.shape[2]]);case 4:return il(e,[t,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3]]);case 5:return We(e,[t,0,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3],e.shape[4]]);case 6:return We(e,[t,0,0,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3],e.shape[4],e.shape[5]]);default:throw new V(`sliceAlongFirstAxis() received an unsupported tensor rank: ${e.rank}`)}})}function uy(e,t,n){return P(()=>{switch(e.rank){case 1:return Pc(e,t,n);case 2:return Km(e,[0,t],[e.shape[0],n]);case 3:return mo(e,[0,0,t],[e.shape[0],e.shape[1],n]);case 4:return il(e,[0,0,0,t],[e.shape[0],e.shape[1],e.shape[2],n]);default:throw new V(`sliceAlongLastAxis() received an unsupported tensor rank: ${e.rank}`)}})}function qd(e,t,n,a){return P(()=>{switch(e.rank){case 1:return Pc(e,t,n);case 2:switch(a){case 1:return Ys(e,t,n);case 2:return uy(e,t,n);default:throw new V(`The axis is not within the rank of the tensor ${a}`)}case 3:switch(a){case 1:return Ys(e,t,n);case 2:return mo(e,[0,t,0],[e.shape[0],n,e.shape[2]]);case 3:return uy(e,t,n);default:throw new V(`The axis is not within the rank of the tensor ${a}`)}case 4:switch(a){case 1:return Ys(e,t,n);case 2:return il(e,[0,t,0,0],[e.shape[0],n,e.shape[2],e.shape[3]]);case 3:return il(e,[0,0,t,0],[e.shape[0],e.shape[1],n,e.shape[3]]);case 4:return uy(e,t,n);default:throw new V(`The axis is not within the rank of the tensor ${a}`)}default:throw new V(`sliceAlongLastAxis() received an unsupported tensor rank: ${e.rank}`)}})}function jv(e,t=-1){let n;return t<0&&(n=e[0].rank,n!==0?t=n:t=0),t===e[0].rank&&(t=-1),Ze(e,t)}function sk(e,t){switch(e.rank){case 1:return ev([e,t]);case 2:return tv([e,t],0);case 3:return nv([e,t],0);case 4:return av([e,t],0);default:throw new V(`concatAlongFirstAxis() received an unsupported tensor rank: ${e.rank}`)}}function Ry(e,t){if(Array.isArray(t)||(t=[t]),e.rank!==t.length)throw new V(`The length of input n (${t.length}) does not match the number of dimensions in input x (${e.rank})`);return Pn(e,t)}function df(e,t=0,n=1,a,r){return Wm(e,t,n,a,r)}function rr(e,t,n,a){if(e.rank<2||t.rank<2)throw new De(`dot requires both inputs to be rank >= 2 but got x shape = ${e.shape} and y shape = ${t.shape}`);if(t.rank>=3){let r=e.shape.slice(-1)[0],s=t.shape.slice(-2)[0];if(r!==s)throw new De(`If rank y >= 3, then the second last dim of y must equal the last dim of x but got x shape = ${e.shape} and y shape = ${t.shape}`)}if(e.rank===2&&t.rank===2)return ll.matMul({a:e,b:t,transposeA:!1,transposeB:!1,bias:a?My(e.rank,a,Ga()):null,activation:n});{let r=e.shape.slice(),s=r.pop();e=B(e,[-1,s]);let i=t.shape.slice(),o=i.pop(),l=i.pop(),u=[...i,o],p=Array.from({length:t.rank},(m,f)=>f===0?t.rank-2:f<=t.rank-2?f-1:f);t=B(Ce(t,p),[l,-1]);let d=[...r,...u],c=!1,h=!1;return B(ll.matMul({a:e,b:t,transposeA:c,transposeB:h,bias:a?My(e.rank,a,Ga()):null,activation:n}),d)}}function zT(e,t,n){return P(()=>(Array.isArray(t)?t=Ke(t,"int32"):t=oe(t,"int32"),Cu(e,t,n)))}function Uc(e){return z(e,e)}function My(e,t,n){let a=t.shape;if(t.rank!==1&&t.rank!==e)throw new V(`Unexpected bias dimensions: ${t.rank}; expected it to be 1 or ${e}`);if(e===5){if(n==="channelsFirst")return a.length===1?B(t,[1,a[0],1,1,1]):B(t,[1,a[3],a[0],a[1],a[2]]);if(n==="channelsLast")return a.length===1?B(t,[1,1,1,1,a[0]]):B(t,[1].concat(a))}else if(e===4){if(n==="channelsFirst")return a.length===1?B(t,[1,a[0],1,1]):B(t,[1,a[2],a[0],a[1]]);if(n==="channelsLast")return a.length===1?B(t,[1,1,1,a[0]]):B(t,[1].concat(a))}else if(e===3){if(n==="channelsFirst")return a.length===1?B(t,[1,a[0],1]):B(t,[1,a[1],a[0]]);if(n==="channelsLast")return a.length===1?B(t,[1,1,a[0]]):B(t,[1].concat(a))}else if(e<3)return t;throw new V(`Unsupported input rank by biasAdd: ${t.rank}`)}function qa(e,t,n){return P(()=>(n==null&&(n=Ga()),Rt(n),Y(e,My(e.rank,t,n))))}function P4(e,t=1){if(t!==1)throw new De(`Support for alpha values other than 1 (${t}) is not implemented yet.`);return Su(e)}function O4(e){return P(()=>he(e,Y(Lt(e),1)))}function BT(e,t,n,a){return P(()=>Ov(e,t,n,a))}function L4(e){return P(()=>{let t=Y(.5,z(.2,e));return Qt(t,0,1)})}function Gc(e,t,n=!1){return n?e():t()}var z4=["fanIn","fanOut","fanAvg"],B4=["normal","uniform","truncatedNormal"];function W4(e){go(z4,"FanMode",e)}function V4(e){go(B4,"Distribution",e)}var $a=class extends ne.Serializable{fromConfigUsesCustomObjects(){return!1}getConfig(){return{}}},qv=class extends $a{apply(e,t){return It(e,t)}};qv.className="Zeros";ne.registerClass(qv);var hf=class extends $a{apply(e,t){return Yn(e,t)}};hf.className="Ones";ne.registerClass(hf);var Kv=class extends $a{constructor(e){if(super(),typeof e!="object")throw new V(`Expected argument of type ConstantConfig but got ${e}`);if(e.value===void 0)throw new V(`config must have value set but got ${e}`);this.value=e.value}apply(e,t){return P(()=>z(ye(this.value),Yn(e,t)))}getConfig(){return{value:this.value}}};Kv.className="Constant";ne.registerClass(Kv);var Xv=class extends $a{constructor(e){super(),this.DEFAULT_MINVAL=-.05,this.DEFAULT_MAXVAL=.05,this.minval=e.minval||this.DEFAULT_MINVAL,this.maxval=e.maxval||this.DEFAULT_MAXVAL,this.seed=e.seed}apply(e,t){return Eu(e,this.minval,this.maxval,t)}getConfig(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}}};Xv.className="RandomUniform";ne.registerClass(Xv);var Yv=class extends $a{constructor(e){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=e.mean||this.DEFAULT_MEAN,this.stddev=e.stddev||this.DEFAULT_STDDEV,this.seed=e.seed}apply(e,t){if(t=t||"float32",t!=="float32"&&t!=="int32")throw new De(`randomNormal does not support dType ${t}.`);return df(e,this.mean,this.stddev,t,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};Yv.className="RandomNormal";ne.registerClass(Yv);var Zv=class extends $a{constructor(e){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=e.mean||this.DEFAULT_MEAN,this.stddev=e.stddev||this.DEFAULT_STDDEV,this.seed=e.seed}apply(e,t){if(t=t||"float32",t!=="float32"&&t!=="int32")throw new De(`truncatedNormal does not support dType ${t}.`);return Zm(e,this.mean,this.stddev,t,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};Zv.className="TruncatedNormal";ne.registerClass(Zv);var Jv=class extends $a{constructor(e){super(),this.gain=e.gain!=null?e.gain:1}apply(e,t){return P(()=>{if(e.length!==2||e[0]!==e[1])throw new V("Identity matrix initializer can only be used for 2D square matrices.");return z(this.gain,Rm(e[0]))})}getConfig(){return{gain:this.gain}}};Jv.className="Identity";ne.registerClass(Jv);function U4(e,t="channelsLast"){let n,a;if(Rt(t),e.length===2)n=e[0],a=e[1];else if([3,4,5].indexOf(e.length)!==-1){if(t==="channelsFirst"){let r=Jr(e,2);n=e[1]*r,a=e[0]*r}else if(t==="channelsLast"){let r=Jr(e,0,e.length-2);n=e[e.length-2]*r,a=e[e.length-1]*r}}else{let r=Jr(e);n=Math.sqrt(r),a=Math.sqrt(r)}return[n,a]}var Bn=class extends $a{constructor(e){if(super(),e.scale<0)throw new V(`scale must be a positive float. Got: ${e.scale}`);this.scale=e.scale==null?1:e.scale,this.mode=e.mode==null?"fanIn":e.mode,W4(this.mode),this.distribution=e.distribution==null?"normal":e.distribution,V4(this.distribution),this.seed=e.seed}apply(e,t){let n=U4(e),a=n[0],r=n[1],s=this.scale;if(this.mode==="fanIn"?s/=Math.max(1,a):this.mode==="fanOut"?s/=Math.max(1,r):s/=Math.max(1,(a+r)/2),this.distribution==="normal"){let i=Math.sqrt(s);if(t=t||"float32",t!=="float32"&&t!=="int32")throw new De(`${this.getClassName()} does not support dType ${t}.`);return Zm(e,0,i,t,this.seed)}else{let i=Math.sqrt(3*s);return Eu(e,-i,i,t)}}getConfig(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}}};Bn.className="VarianceScaling";ne.registerClass(Bn);var mf=class extends Bn{constructor(e){super({scale:1,mode:"fanAvg",distribution:"uniform",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};mf.className="GlorotUniform";ne.registerClass(mf);var ff=class extends Bn{constructor(e){super({scale:1,mode:"fanAvg",distribution:"normal",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};ff.className="GlorotNormal";ne.registerClass(ff);var gf=class extends Bn{constructor(e){super({scale:2,mode:"fanIn",distribution:"normal",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};gf.className="HeNormal";ne.registerClass(gf);var bf=class extends Bn{constructor(e){super({scale:2,mode:"fanIn",distribution:"uniform",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};bf.className="HeUniform";ne.registerClass(bf);var yf=class extends Bn{constructor(e){super({scale:1,mode:"fanIn",distribution:"normal",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};yf.className="LeCunNormal";ne.registerClass(yf);var xf=class extends Bn{constructor(e){super({scale:1,mode:"fanIn",distribution:"uniform",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};xf.className="LeCunNormal";ne.registerClass(xf);var Qv=class extends $a{constructor(e){if(super(),this.DEFAULT_GAIN=1,this.gain=e.gain==null?this.DEFAULT_GAIN:e.gain,this.seed=e.seed,this.seed!=null)throw new De("Random seed is not implemented for Orthogonal Initializer yet.")}apply(e,t){return P(()=>{if(e.length<2)throw new De("Shape must be at least 2D.");e[0]*e[1]>2e3&&console.warn(`Orthogonal initializer is being called on a matrix with more than 2000 (${e[0]*e[1]}) elements: Slowness may result.`);let n=e[0]>e[1]?[e[1],e[0]]:e,a=df(n,0,1,"float32"),r=Wv.gramSchmidt(a);return e[0]>e[1]&&(r=Ce(r)),z(this.gain,r)})}getConfig(){return{gain:this.gain,seed:this.seed}}};Qv.className="Orthogonal";ne.registerClass(Qv);var ik={constant:"Constant",glorotNormal:"GlorotNormal",glorotUniform:"GlorotUniform",heNormal:"HeNormal",heUniform:"HeUniform",identity:"Identity",leCunNormal:"LeCunNormal",leCunUniform:"LeCunUniform",ones:"Ones",orthogonal:"Orthogonal",randomNormal:"RandomNormal",randomUniform:"RandomUniform",truncatedNormal:"TruncatedNormal",varianceScaling:"VarianceScaling",zeros:"Zeros"};function ok(e,t={}){return Bc(e,ne.SerializationMap.getMap().classNameMap,t,"initializer")}function Ct(e){return Gv(e)}function St(e){if(typeof e=="string"){let t=e in ik?ik[e]:e;if(t==="GlorotNormal")return new ff;if(t==="GlorotUniform")return new mf;if(t==="HeNormal")return new gf;if(t==="HeUniform")return new bf;if(t==="LeCunNormal")return new yf;if(t==="LeCunUniform")return new xf;{let n={};return n.className=t,n.config={},ok(n)}}else return e instanceof $a?e:ok(e)}function Py(e){return Array.isArray(e)&&Array.isArray(e[0])}function Sh(e){return e.length===0?[]:Array.isArray(e[0])?e:[e]}function Re(e){let t;if(Array.isArray(e)){if(e.length!==1)throw new V(`Expected Tensor length to be 1; got ${e.length}`);t=e[0]}else t=e;return t}function at(e){if(Array.isArray(e)&&Array.isArray(e[0])){if(e.length===1)return e=e,e[0];throw new V(`Expected exactly 1 Shape; got ${e.length}`)}else return e}function Th(e){let t=0;for(let n of e)n.shape.length===0?t+=1:t+=n.shape.reduce((a,r)=>a*r);return t}var lk="Variable",WT=class{constructor(e,t="float32",n=lk,a=!0,r=null){this.dtype=t==null?"float32":t,this.shape=e.shape,this.id=RT(),n=n==null?lk:n,this.originalName=PT(n),this.name=OT(this.originalName),this.trainable_=a,this.constraint=r,this.val=Mv(e,this.trainable_,this.name,this.dtype)}read(){return this.assertNotDisposed(),this.val}write(e){return this.assertNotDisposed(),G4(this.val,e),this.val.id!==e.id&&(this.val.assign(e),this.constraint!=null&&this.val.assign(this.constraint.apply(this.val))),this}dispose(){this.assertNotDisposed(),this.val.dispose()}assertNotDisposed(){if(this.val.isDisposed)throw new Error(`LayersVariable ${this.name} is already disposed.`)}get trainable(){return this.trainable_}set trainable(e){this.trainable_=e,this.val.trainable=e}};function G4(e,t){if(e.shape.toString()!==t.shape.toString())throw new Error("Shape mismatch: "+JSON.stringify(e.shape)+" vs. "+JSON.stringify(t.shape))}function Oy(e){return e.map(t=>t.read())}function ew(e){e.forEach(t=>{t[0].write(t[1])})}var zt=class{constructor(e){this.dtype=e.dtype,this.shape=e.shape,e.shape!=null?this.ndim=e.shape.length:this.ndim=e.ndim,this.maxNDim=e.maxNDim,this.minNDim=e.minNDim,this.axes=e.axes||{}}},za=class{constructor(e,t,n,a,r,s,i){this.dtype=e,this.shape=t,this.sourceLayer=n,this.inputs=a,this.callArgs=r,this.outputTensorIndex=i,this.id=RT(),s!=null&&(this.originalName=PT(s),this.name=OT(this.originalName)),this.rank=t.length}},H4=0,vf=class{constructor(e,t){this.callArgs=t,this.id=H4++,this.outboundLayer=e.outboundLayer,this.inboundLayers=e.inboundLayers,this.nodeIndices=e.nodeIndices,this.tensorIndices=e.tensorIndices,this.inputTensors=e.inputTensors,this.outputTensors=e.outputTensors,this.inputMasks=e.inputMasks,this.outputMasks=e.outputMasks,this.inputShapes=e.inputShapes,this.outputShapes=e.outputShapes;for(let n of e.inboundLayers)n!=null&&n.outboundNodes.push(this);e.outboundLayer.inboundNodes.push(this)}getConfig(){let e=[];for(let t of this.inboundLayers)t!=null?e.push(t.name):e.push(null);return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:e,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}}},j4=0,qe=class extends ne.Serializable{constructor(e={}){super(),this._callHook=null,this._addedWeightNames=[],this._stateful=!1,this.id=j4++,this.activityRegularizer=null,this.inputSpec=null,this.supportsMasking=!1,this._trainableWeights=[],this._nonTrainableWeights=[],this._losses=[],this._updates=[],this._built=!1,this.inboundNodes=[],this.outboundNodes=[];let t=e.name;if(!t){let n=this.getClassName();t=vr(n)+"_"+cf(n)}if(this.name=t,this.trainable_=e.trainable==null?!0:e.trainable,e.inputShape!=null||e.batchInputShape!=null){let n;if(e.batchInputShape!=null)n=e.batchInputShape;else if(e.inputShape!=null){let r=null;e.batchSize!=null&&(r=e.batchSize),n=[r].concat(e.inputShape)}this.batchInputShape=n;let a=e.dtype;a==null&&(a=e.inputDType),a==null&&(a="float32"),this.dtype=a}e.weights!=null?this.initialWeights=e.weights:this.initialWeights=null,this._refCount=null,this.fastWeightInitDuringBuild=!1}static nodeKey(e,t){return e.name+"_ib-"+t.toString()}getNodeAtIndex(e,t){if(this.inboundNodes.length===0)throw new La(`The layer has never been called and thus has no defined ${t}.`);if(this.inboundNodes.length<=e)throw new V(`Asked to get ${t} at node ${e}, but the layer has only ${this.inboundNodes.length} inbound nodes.`);return this.inboundNodes[e]}getInputAt(e){return Mn(this.getNodeAtIndex(e,"input").inputTensors)}getOutputAt(e){return Mn(this.getNodeAtIndex(e,"output").outputTensors)}get input(){if(this.inboundNodes.length>1)throw new xr(`Layer ${this.name} has multiple inbound nodes, hence the notion of "layer input" is ill-defined. Use \`getInputAt(nodeIndex)\` instead.`);if(this.inboundNodes.length===0)throw new xr(`Layer ${this.name} is not connected, no input to return.`);return Mn(this.getNodeAtIndex(0,"input").inputTensors)}get output(){if(this.inboundNodes.length===0)throw new xr(`Layer ${this.name} has no inbound nodes.`);if(this.inboundNodes.length>1)throw new xr(`Layer ${this.name} has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use \`getOutputAt(nodeIndex)\` instead.`);return Mn(this.getNodeAtIndex(0,"output").outputTensors)}get losses(){return this._losses}calculateLosses(){return this.losses.map(e=>e())}get updates(){return this._updates}get built(){return this._built}set built(e){this._built=e}get trainable(){return this.trainable_}set trainable(e){this._trainableWeights.forEach(t=>t.trainable=e),this.trainable_=e}get trainableWeights(){return this.trainable_?this._trainableWeights.filter(e=>e.trainable):[]}set trainableWeights(e){this._trainableWeights=e}get nonTrainableWeights(){return this.trainable?this._trainableWeights.filter(e=>!e.trainable).concat(this._nonTrainableWeights):this._trainableWeights.concat(this._nonTrainableWeights)}set nonTrainableWeights(e){this._nonTrainableWeights=e}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}get stateful(){return this._stateful}resetStates(){if(!this.stateful)throw new Error("Cannot call the resetStates() method of a non-stateful Layer object.")}assertInputCompatibility(e){if(e=bt(e),this.inputSpec==null||this.inputSpec.length===0)return;let t=bt(this.inputSpec);if(e.length!==t.length)throw new V(`Layer ${this.name} expects ${t.length} inputs, but it received ${e.length} input tensors. Input received: ${e}`);for(let n=0;nr.maxNDim)throw new V(`Input ${n} is incompatible with layer ${this.name}: expected max_ndim=${r.maxNDim}, found ndim=${s}`);if(r.minNDim!=null&&s=0?i[l]:i[i.length+l];if(u!=null&&[u,null].indexOf(p)===-1)throw new V(`Input ${n} is incompatible with layer ${this.name}: expected axis ${l} of input shape to have value ${u} but got shape ${i}.`)}}if(r.shape!=null)for(let i=0;i{if(!this.built){this.assertInputCompatibility(e);let s=[];for(let i of bt(e))s.push(i.shape);this.build(Mn(s)),this.built=!0,this.initialWeights&&this.setWeights(this.initialWeights),this._refCount===null&&r&&(this._refCount=1)}if(this.assertInputCompatibility(e),r){let s=this.call(e,t),i=bt(s),o=[];for(let l of i)n.indexOf(l)!==-1&&(l=l.clone()),o.push(l);if(s=Mn(o),this.activityRegularizer!=null)throw new De("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return s}else{let s=q4(e),i=this.computeOutputShape(s),o,l=K4(e);if(this.warnOnIncompatibleInputShape(Array.isArray(e)?s[0]:s),i!=null&&i.length>0&&Array.isArray(i[0])?o=i.map((u,p)=>new za(l,u,this,bt(e),t,this.name,p)):o=new za(l,i,this,bt(e),t,this.name),this.addInboundNode(e,o,null,null,s,i,t),this._refCount++,this.activityRegularizer!=null)throw new De("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return o}})}warnOnIncompatibleInputShape(e){if(this.batchInputShape!=null)if(e.length!==this.batchInputShape.length)console.warn(`The rank of the input tensor provided (shape: ${JSON.stringify(e)}) does not match that of the batchInputShape (${JSON.stringify(this.batchInputShape)}) of the layer ${this.name}`);else{let t=!1;this.batchInputShape.forEach((n,a)=>{n!=null&&e[a]!=null&&e[a]!==n&&(t=!0)}),t&&console.warn(`The shape of the input tensor (${JSON.stringify(e)}) does not match the expectation of layer ${this.name}: ${JSON.stringify(this.batchInputShape)}`)}}get outputShape(){if(this.inboundNodes==null||this.inboundNodes.length===0)throw new xr(`The layer ${this.name} has never been called and thus has no defined output shape.`);let e=[];for(let t of this.inboundNodes){let n=JSON.stringify(t.outputShapes);e.indexOf(n)===-1&&e.push(n)}if(e.length===1){let t=this.inboundNodes[0].outputShapes;return Array.isArray(t)&&Array.isArray(t[0])&&t.length===1?t[0]:t}else throw new xr(`The layer ${this.name} has multiple inbound nodes with different output shapes. Hence the notion of "output shape" is ill-defined for the layer.`)}countParams(){if(!this.built)throw new La(`You tried to call countParams() on ${this.name}, but the layer is not built yet. Build it first by calling build(batchInputShape).`);return Th(this.weights)}build(e){this.built=!0}getWeights(e=!1){return Oy(e?this.trainableWeights:this.weights)}setWeights(e){P(()=>{let t=this.weights;if(t.length!==e.length)throw new V(`You called setWeights(weights) on layer "${this.name}" with a weight list of length ${e.length}, but the layer was expecting ${t.length} weights. Provided weights: ${e}...`);if(t.length===0)return;let n=[],a=Oy(t);for(let r=0;rr.apply(u.read())),s==null&&(s=!0),s?this._trainableWeights.push(u):this._nonTrainableWeights.push(u),u}setFastWeightInitDuringBuild(e){this.fastWeightInitDuringBuild=e}addLoss(e){e==null||Array.isArray(e)&&e.length===0||(e=bt(e),this._losses!==void 0&&this._losses!==null&&this.losses.push(...e))}computeOutputShape(e){return e}computeMask(e,t){if(!this.supportsMasking){if(t!=null)if(Array.isArray(t))t.forEach(n=>{if(n!=null)throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`)});else throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`);return null}return t}addInboundNode(e,t,n,a,r,s,i=null){let o=bt(e);t=bt(t),n=bt(n),a=bt(a),r=Sh(r),s=Sh(s);let l=[],u=[],p=[];for(let d of o)l.push(d.sourceLayer),u.push(d.nodeIndex),p.push(d.tensorIndex);new vf({outboundLayer:this,inboundLayers:l,nodeIndices:u,tensorIndices:p,inputTensors:o,outputTensors:t,inputMasks:n,outputMasks:a,inputShapes:r,outputShapes:s},i);for(let d=0;de.dispose()),this.weights.length}assertNotDisposed(){if(this._refCount===0)throw new Error(`Layer '${this.name}' is already disposed.`)}dispose(){if(!this.built)throw new Error(`Cannot dispose Layer ${this.name} because it has not been built yet.`);if(this._refCount===null)throw new Error(`Cannot dispose Layer ${this.name} because it has not been used yet.`);this.assertNotDisposed();let e=0;return--this._refCount===0&&(e=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:e}}};function q4(e){e=bt(e);let t=[];for(let n of e)t.push(n.shape);return Mn(t)}function K4(e){return"float32"}function VT(e,t,n){if((t==null||n!=null&&n>0)&&(t=e.sourceLayer,n=e.nodeIndex),t.inboundNodes.length===0)return[e];{let a=t.inboundNodes[n];if(a.inboundLayers.length===0)return a.inputTensors;{let r=[];for(let s=0;sm.name),l=[],u=t.names();for(let m of o)u.indexOf(m)!==-1?l.push(t.getValue(m)):l.push(null);a!=null&&(a.maxNumTensors=-1/0,a.minNumTensors=1/0);let p=o.join(",")+"|"+t.names().sort().join(","),d=Nh.get(p),c;if(d==null){let m=Z4(i,t);d=m.sorted,c=m.recipientCounts,Nh.put(p,d),Ch.put(p,c)}c={},r||Object.assign(c,Ch.get(p));let h=new Hs(t);for(let m=0;ma.maxNumTensors&&(a.maxNumTensors=A),A0,()=>"Expected at least one fetch, got none");let n=[],a={};if(e.length===1){let r=uk(e[0],t);n=r.sorted,a=r.recipientMap}else{let r=new Set;for(let s of e){let{sorted:i,recipientMap:o}=uk(s,t);for(let l of i)r.has(l.name)||(n.push(l),r.add(l.name));for(let l in o)a[l]==null&&(a[l]=new Set),o[l].forEach(u=>a[l].add(u))}}return{sorted:n,recipientCounts:J4(a)}}function J4(e){let t={};for(let n in e)t[n]=e[n].size;return t}function uk(e,t){let n=new Set,a=[],r={};for(let o of t.names())n.add(o);let s=[],i=[];for(s.push(e);s.length>0;){let o=s[s.length-1];if(n.has(o.name)){s.pop();continue}let l=i[i.length-1]===s.length-1;if(o.inputs.length===0||l)s.pop(),a.push(o),n.add(o.name),l&&i.pop();else{i.push(s.length-1);for(let u of o.inputs)r[u.name]==null&&(r[u.name]=new Set),r[u.name].add(o.name),!n.has(u.name)&&s.push(u)}}return{sorted:a,recipientMap:r}}function Q4(e){let t;if(e.sourceLayer.inboundNodes.length===1)t=e.sourceLayer.output;else{let n=null;for(let a=0;a100,Y4);var GT={};_e(GT,{maxNorm:()=>tV,minMaxNorm:()=>rV,nonNeg:()=>aV,unitNorm:()=>nV});function tw(e,t){return P(()=>on(fe(z(e,e),t,!0)))}var Hc=class extends ne.Serializable{getConfig(){return{}}},nw=class extends Hc{constructor(e){super(),this.defaultMaxValue=2,this.defaultAxis=0,this.maxValue=e.maxValue!=null?e.maxValue:this.defaultMaxValue,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return P(()=>{let t=tw(e,this.axis),n=Qt(t,0,this.maxValue);return z(e,he(n,Y(Gt(),t)))})}getConfig(){return{maxValue:this.maxValue,axis:this.axis}}};nw.className="MaxNorm";ne.registerClass(nw);var aw=class extends Hc{constructor(e){super(),this.defaultAxis=0,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return P(()=>he(e,Y(Gt(),tw(e,this.axis))))}getConfig(){return{axis:this.axis}}};aw.className="UnitNorm";ne.registerClass(aw);var rw=class extends Hc{apply(e){return Xe(e)}};rw.className="NonNeg";ne.registerClass(rw);var sw=class extends Hc{constructor(e){super(),this.defaultMinValue=0,this.defaultMaxValue=1,this.defaultRate=1,this.defaultAxis=0,this.minValue=e.minValue!=null?e.minValue:this.defaultMinValue,this.maxValue=e.maxValue!=null?e.maxValue:this.defaultMaxValue,this.rate=e.rate!=null?e.rate:this.defaultRate,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return P(()=>{let t=tw(e,this.axis),n=Y(z(this.rate,Qt(t,this.minValue,this.maxValue)),z(1-this.rate,t));return z(e,he(n,Y(Gt(),t)))})}getConfig(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}}};sw.className="MinMaxNorm";ne.registerClass(sw);var pk={maxNorm:"MaxNorm",minMaxNorm:"MinMaxNorm",nonNeg:"NonNeg",unitNorm:"UnitNorm"};function qt(e){return Gv(e)}function ck(e,t={}){return Bc(e,ne.SerializationMap.getMap().classNameMap,t,"constraint")}function Kt(e){if(e==null)return null;if(typeof e=="string"){let t={className:e in pk?pk[e]:e,config:{}};return ck(t)}else return e instanceof Hc?e:ck(e)}function tV(e){return new nw(e)}function nV(e){return new aw(e)}function aV(){return new rw}function rV(e){return new sw(e)}var HT={};_e(HT,{constant:()=>oV,glorotNormal:()=>mV,glorotUniform:()=>hV,heNormal:()=>fV,heUniform:()=>gV,identity:()=>cV,leCunNormal:()=>bV,leCunUniform:()=>yV,ones:()=>iV,orthogonal:()=>xV,randomNormal:()=>uV,randomUniform:()=>lV,truncatedNormal:()=>pV,varianceScaling:()=>dV,zeros:()=>sV});function sV(){return new qv}function iV(){return new hf}function oV(e){return new Kv(e)}function lV(e){return new Xv(e)}function uV(e){return new Yv(e)}function pV(e){return new Zv(e)}function cV(e){return new Jv(e)}function dV(e){return new Bn(e)}function hV(e){return new mf(e)}function mV(e){return new ff(e)}function fV(e){return new gf(e)}function gV(e){return new bf(e)}function bV(e){return new yf(e)}function yV(e){return new xf(e)}function xV(e){return new Qv(e)}var jT={};_e(jT,{Layer:()=>qe,RNN:()=>cr,RNNCell:()=>Yc,activation:()=>HU,add:()=>eG,alphaDropout:()=>OG,average:()=>tG,averagePooling1d:()=>h0,averagePooling2d:()=>m0,averagePooling3d:()=>f0,avgPool1d:()=>pG,avgPool2d:()=>dG,avgPool3d:()=>mG,avgPooling1d:()=>cG,avgPooling2d:()=>hG,avgPooling3d:()=>fG,batchNormalization:()=>oG,bidirectional:()=>EG,concatenate:()=>nG,conv1d:()=>PU,conv2d:()=>OU,conv2dTranspose:()=>LU,conv3d:()=>zU,conv3dTranspose:()=>BU,convLstm2d:()=>TG,convLstm2dCell:()=>NG,cropping2D:()=>VU,dense:()=>jU,depthwiseConv2d:()=>GU,dot:()=>iG,dropout:()=>qU,elu:()=>AU,embedding:()=>QU,flatten:()=>XU,gaussianDropout:()=>PG,gaussianNoise:()=>MG,globalAveragePooling1d:()=>gG,globalAveragePooling2d:()=>bG,globalMaxPool1d:()=>$G,globalMaxPool2d:()=>FG,globalMaxPooling1d:()=>ON,globalMaxPooling2d:()=>LN,gru:()=>xG,gruCell:()=>vG,input:()=>pN,inputLayer:()=>EU,layerNormalization:()=>lG,leakyReLU:()=>FU,lstm:()=>wG,lstmCell:()=>kG,masking:()=>LG,maxPool1d:()=>DG,maxPool2d:()=>RG,maxPooling1d:()=>zN,maxPooling2d:()=>BN,maxPooling3d:()=>yG,maximum:()=>aG,minimum:()=>rG,multiply:()=>sG,permute:()=>JU,prelu:()=>DU,reLU:()=>$U,repeatVector:()=>YU,rescaling:()=>zG,reshape:()=>ZU,rnn:()=>CG,separableConv2d:()=>WU,simpleRNN:()=>IG,simpleRNNCell:()=>SG,softmax:()=>RU,spatialDropout1d:()=>KU,stackedRNNCells:()=>_G,thresholdedReLU:()=>MU,timeDistributed:()=>AG,upSampling2d:()=>UU,zeroPadding2d:()=>uG});async function Hr(e){if(e==null)return;let t=[],n=[],a=[];for(let r in e){let s=e[r];if(typeof s!="number"){let i=s;t.push(i.data()),n.push(r),a.push(i)}}if(t.length>0){let r=await Promise.all(t);for(let s=0;sY(this.totals[a],z(r,n)));this.totals[a]=i,s!=null&&s.dispose()}}}async onEpochEnd(e,t){if(t!=null)for(let n of this.params.metrics)this.totals[n]!=null&&(typeof this.totals[n]=="number"?t[n]=this.totals[n]/this.seen:P(()=>{let a=z(he(1,this.seen),this.totals[n]);t[n]=a,this.totals[n].dispose(),Zt(t[n])}))}},XT=class extends pl{async onTrainBegin(e){this.epoch=[],this.history={}}async onEpochEnd(e,t){t==null&&(t={}),this.epoch.push(e);for(let n in t)this.history[n]==null&&(this.history[n]=[]),this.history[n].push(t[n])}async syncData(){let e=[],t=[],n=[];for(let r in this.history){let s=this.history[r];for(let i=0;inew YT(n,t))}var Sa=class{constructor(){}static registerCallbackConstructor(e,t){v.assert(e>=0&&Number.isInteger(e),()=>`Verbosity level is expected to be an integer >= 0, but got ${e}`),Sa.checkForDuplicate(t),Sa.constructors[e]==null&&(Sa.constructors[e]=[]),Sa.constructors[e].push(t)}static checkForDuplicate(e){for(let t in Sa.constructors)Sa.constructors[+t].forEach(n=>{if(n===e)throw new V("Duplicate callback constructor.")})}static clear(){Sa.constructors={}}static createCallbacks(e){let t=[];for(let n in Sa.constructors){let a=+n;e>=a&&t.push(...Sa.constructors[a])}return t.map(n=>new n)}};Sa.constructors={};function JT(e,t,n,a,r,s,i,o,l){let u=new XT,p=[new wV,...Sa.createCallbacks(t)];e!=null&&p.push(...e),p.push(u);let d=new KT(p);return d.setParams({epochs:n,initialEpoch:a,samples:r,steps:s,batchSize:i,verbose:t,doValidation:o,metrics:l}),{callbackList:d,history:u}}function Wa(e,t={},n=!1){return Bc(e,ne.SerializationMap.getMap().classNameMap,t,"layer",n)}function _h(e,t){return P(()=>{e.dtype!=="float32"&&(e=oe(e,"float32"));let n=fe(Uc(e),t,!0),a=gn(n.shape,Gt()),r=on(ur(n,a));return he(e,r)})}function bo(e,t){return P(()=>Nt(Uc(pe(t,e)),-1))}function wf(e,t){return P(()=>Nt(Lt(pe(t,e)),-1))}function Fu(e,t){return P(()=>{let n=pe(e,t),a=Qt(Lt(e),Gt(),Number.MAX_VALUE),r=Lt(he(n,a));return z(100,Nt(r,-1))})}function kV(e,t){return P(()=>{let n=Qt(t,Gt(),Number.MAX_VALUE),a=Qn(Y(1,n)),r=Qt(e,Gt(),Number.MAX_VALUE),s=Qn(Y(1,r));return Nt(Uc(pe(a,s)),-1)})}function IV(e,t){return P(()=>{let n=ur(0,pe(1,z(e,t)));return Nt(Uc(n),-1)})}function SV(e,t){return P(()=>{let n=ur(0,pe(1,z(e,t)));return Nt(n,-1)})}function TV(e,t){return P(()=>{let n=fe(z(e,t),-1),a=Na(z(pe(1,e),t),-1);return ur(0,Y(1,pe(a,n)))})}function NV(e,t){return P(()=>{let n=Math.log(2),a=pe(t,e),r=pe(Y(a,ho(z(-2,a))),n);return Nt(r,-1)})}function qp(e,t,n=!1){return P(()=>{if(n)t=ja(t);else{let a=fe(t,t.shape.length-1,!0);t=he(t,a)}return t=Qt(t,Gt(),1-Gt()),yt(fe(z(oe(e,"float32"),Qn(t)),t.shape.length-1))})}function Eh(e,t,n=!1){return P(()=>{let a=oe(Nu(R4(e)),"int32");t=Qt(t,Gt(),1-Gt());let r=t.shape,s=B(al(a,r[r.length-1]),r);return qp(s,t,n)})}function CV(e,t){if(!v.arraysEqual(e.shape,t.shape))throw new V(`logits and labels must have the same shape, but got shapes ${JSON.stringify(e.shape)} and ${JSON.stringify(t.shape)}`);return P(()=>{let n=Xe(t),a=yt(Lt(t));return Y(pe(n,z(t,e)),$c(fn(a)))})}function kf(e,t){return P(()=>{let n;return n=Qt(t,Gt(),1-Gt()),n=Qn(he(n,pe(1,n))),Nt(CV(e,n),-1)})}function _V(e,t){return P(()=>{let n=Qt(e,Gt(),1),a=Qt(t,Gt(),1);return fe(z(e,Qn(he(n,a))),-1)})}function EV(e,t){return P(()=>{let n=Qn(Y(Gt(),t));return Nt(pe(t,z(e,n)),-1)})}function iw(e,t){return P(()=>{let n=_h(e,-1),a=_h(t,-1),r=z(n,a);return yt(fe(r,-1))})}var Ah={meanSquaredError:bo,meanAbsoluteError:wf,meanAbsolutePercentageError:Fu,meanSquaredLogarithmicError:kV,squaredHinge:IV,hinge:SV,categoricalHinge:TV,logcosh:NV,categoricalCrossentropy:qp,sparseCategoricalCrossentropy:Eh,binaryCrossentropy:kf,kullbackLeiblerDivergence:_V,poisson:EV,cosineProximity:iw};function py(e){if(typeof e=="string"){if(e in Ah)return Ah[e];let t=`Unknown loss ${e}`;throw e.toLowerCase().includes("softmaxcrossentropy")&&(t=`Unknown loss ${e}. Use "categoricalCrossentropy" as the string name for tf.losses.softmaxCrossEntropy`),new V(t)}else return e}function ow(e,t){return P(()=>{let n=z(.5,ea(t)),a=Wc(Vn(t,n),e.dtype);return Nt(Jn(e,a),-1)})}function lw(e,t){return P(()=>Wc(Jn(ai(e,-1),ai(t,-1)),"float32"))}function QT(e,t){return P(()=>oe(fe(_a(Jn(e,1),Jn(t,1))),"float32"))}function AV(e,t){return P(()=>oe(fe(_a(Jn(e,1),Jn(t,0))),"float32"))}function $V(e,t){return P(()=>oe(fe(_a(Jn(e,0),Jn(t,1))),"float32"))}function eN(e,t){return P(()=>{let n=QT(e,t),a=$V(e,t),r=Y(n,a);return oe(mn(Vn(r,0),he(n,r),0),"float32")})}function FV(e,t){return P(()=>{let n=QT(e,t),a=AV(e,t),r=Y(n,a);return oe(mn(Vn(r,0),he(n,r),0),"float32")})}function tN(e,t){return kf(e,t)}function nN(e,t){return e.rank===t.rank&&(e=ws(e,[e.rank-1])),t=ai(t,-1),t.dtype!==e.dtype&&(t=oe(t,e.dtype)),oe(Jn(e,t),"float32")}var DV=bo,RV=bo,MV=wf,PV=wf,OV=Fu,LV=Fu,uw=qp,zV=iw,aN=Eh,$h={binaryAccuracy:ow,categoricalAccuracy:lw,precision:eN,categoricalCrossentropy:uw,sparseCategoricalCrossentropy:aN,mse:DV,MSE:RV,mae:MV,MAE:PV,mape:OV,MAPE:LV,cosine:zV};function BV(e){if(typeof e=="string"&&e in $h)return $h[e];if(typeof e!="string"&&e!=null)return e;throw new V(`Unknown metric ${e}`)}function Kd(e){if(er(e!==null,`Unknown LossOrMetricFn ${e}`),typeof e=="string")return e;{let t;for(let n of Object.keys(Ah))if(Ah[n]===e){t=n;break}if(t!==void 0)return t;for(let n of Object.keys($h))if($h[n]===e){t=n;break}return t!==void 0?t:e.name}}function WV(e){let t={Adagrad:()=>zs.adagrad(.01),Adadelta:()=>zs.adadelta(1,.95,Gt()),Adam:()=>zs.adam(.001,.9,.999,Gt()),Adamax:()=>zs.adamax(.002,.9,.999,Gt(),0),RMSProp:()=>zs.rmsprop(.001,.9,0,Gt()),SGD:()=>zs.sgd(.01)};if(t.adagrad=t.Adagrad,t.adadelta=t.Adadelta,t.adam=t.Adam,t.adamax=t.Adamax,t.rmsprop=t.RMSProp,t.sgd=t.SGD,e in t)return t[e]();throw new V(`Unknown Optimizer ${e}`)}function hk(e,t,n=!1){if(e==null||typeof e!="object"||Object.getPrototypeOf(e)!==Object.prototype||!Ly(e))throw new Error("User-defined metadata is expected to be a JSON object, but is not.");if(n){let a=JSON.stringify(e);a.length>1048576&&console.warn(`User-defined metadata of model "${t}" is too large in size (length=${a.length} when serialized). It is not recommended to store such large objects in user-defined metadata. Please make sure its serialized length is <= ${1048576}.`)}}function Ly(e){if(e===null)return!0;if(typeof e=="object")if(Object.getPrototypeOf(e)===Object.prototype){let t=Object.keys(e);for(let n of t)if(typeof n!="string"||!Ly(e[n]))return!1;return!0}else if(Array.isArray(e)){for(let t of e)if(!Ly(t))return!1;return!0}else return!1;else{let t=typeof e;return t==="string"||t==="number"||t==="boolean"}}function VV(e,t,n,a=console.log){let r=GV(e),s=["Layer (type)","Input Shape","Output shape","Param #"];r?(t=t||90,n=n||[.32,.61,.89,1]):(t=t||115,n=n||[.24,.48,.7,.8,1]),n[n.length-1]<=1&&(n=n.map(p=>Math.floor(t*p)));let i;if(!r){s.push("Receives inputs"),i=[];for(let p in e.nodesByDepth)i.push(...e.nodesByDepth[p])}a("_".repeat(t)),Fh(s,n,a),a("=".repeat(t));let o=e.layers;for(let p=0;p1||r.length===1&&r[0].inboundLayers.length>1){t=!1;break}a.push(...r)}if(t)for(let r of e.layers){let s=!1;for(let i of r.inboundNodes)if(a.indexOf(i)!==-1)if(s){t=!1;break}else s=!0;if(!t)break}return t}function Fh(e,t,n=console.log){let a="";for(let r=0;r0&&(a=a.slice(0,a.length-1)+" "),a+=e[r],a=a.slice(0,t[r]),a+=" ".repeat(t[r]-a.length);n(a)}function HV(e,t,n){let a,r;try{r=e.inboundNodes.map(l=>JSON.stringify(l.inputShapes)).join(",")}catch(l){r="multiple"}try{a=JSON.stringify(e.outputShape)}catch(l){a="multiple"}let s=e.name,i=e.getClassName(),o=[`${s} (${i})`,r,a,e.countParams().toString()];Fh(o,t,n)}function jV(e,t,n,a){let r,s;try{s=e.inboundNodes.map(d=>JSON.stringify(d.inputShapes)).join(",")}catch(d){s="multiple"}try{r=JSON.stringify(e.outputShape)}catch(d){r="multiple"}let i=[];for(let d of e.inboundNodes)if(!(n!=null&&n.length>0&&n.indexOf(d)===-1))for(let c=0;cb.name)}`);Zr(this.outputs).length!==this.outputs.length&&console.warn(`The list of outputs passed to the model is redundant. All outputs should only appear once. Found: ${this.outputs.map(b=>b.name)}`),this.inputLayers=[],this.inputLayersNodeIndices=[],this.inputLayersTensorIndices=[],this.outputLayers=[],this.outputLayersNodeIndices=[],this.outputLayersTensorIndices=[],this.layers=[],this.internalContainerRefs=[];for(let b of this.outputs){let y=b.sourceLayer,x=b.nodeIndex,w=b.tensorIndex;this.outputLayers.push(y),this.outputLayersNodeIndices.push(x),this.outputLayersTensorIndices.push(w)}for(let b of this.inputs){let y=b.sourceLayer,x=b.nodeIndex,w=b.tensorIndex;er(x===0,"input layer has >1 nodes"),er(w===0,"input layer has >1 tensors"),this.inputLayers.push(y),this.inputLayersNodeIndices.push(x),this.inputLayersTensorIndices.push(w)}this.inputNames=[],this.outputNames=[],this.feedInputShapes=[],this.feedInputNames=[],this.feedOutputNames=[];for(let b=0;bb.shape),this.internalOutputShapes=this.outputs.map(b=>b.shape);let t={},n={},a={},r={},s={},i=[],o=(b,y,x,w,I,T)=>{(w==null||I==null||T==null)&&(w=b.sourceLayer,I=b.nodeIndex,T=b.tensorIndex);let C=w.inboundNodes[I];if(x.indexOf(C)!==-1)throw new La(`The tensor ${b.name} at layer "${w.name}" is part of a cycle.`);if(y.indexOf(C)!==-1)return;this.containerNodes.add(Za.nodeKey(w,I)),w.id in s||(s[w.id]=Object.keys(s).length),x.indexOf(C)===-1&&x.push(C);let E=C.inboundLayers.length;for(let A=0;A=0;)x.splice(x.indexOf(C),1);i.push(C)},l=[],u=[];for(let b of this.outputs)o(b,l,u);let p=i.slice().reverse();for(let b of p){n[b.id]=b,b.id in t||(t[b.id]=0);let y=t[b.id],x=a[b.outboundLayer.id]==null?0:a[b.outboundLayer.id];y=Math.max(y,x),a[b.outboundLayer.id]=y,r[b.outboundLayer.id]=b.outboundLayer,t[b.id]=y;for(let w=0;wparseInt(b,10)).sort(Hd);this.layers=[];for(let b of h){let y=c[b];y.sort((x,w)=>{let I=s[x.id],T=s[w.id];return IT?1:0});for(let x of y)x instanceof Za&&this.internalContainerRefs.push(x),this.layers.push(x)}this.layersByDepth=c,h=Object.keys(d).map(b=>parseInt(b,10)).sort(Hd);let m=this.inputs.slice(),f=[];for(let b of h)for(let y of d[b]){let x=y.outboundLayer;if(x!=null){for(let w of y.inputTensors)if(m.indexOf(w)===-1)throw new La(`Graph disconnected: cannot obtain value for tensor ${w} at layer "${x.name}". The following previous layers were accessed without issue: ${f}`);for(let w of y.outputTensors)m.push(w);f.push(x.name)}}this.nodesByDepth=d;let g=this.layers.map(b=>b.name);for(let b of g){let y=g.filter(x=>x===b).length;if(y!==1)throw new La(`The name "${b}" is used ${y} times in the model. All layer names should be unique. Layer names: `+JSON.stringify(g))}this.outboundNodes=[],this.inboundNodes=[],new vf({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:this.inputs.map(b=>null),outputMasks:this.outputs.map(b=>null),inputShapes:this.inputs.map(b=>b.shape),outputShapes:this.outputs.map(b=>b.shape)}),this.built=!0,this._refCount=1}assertNotDisposed(){if(this._refCount===0)throw new Error(`Container '${this.name}' is already disposed.`)}dispose(){this.assertNotDisposed();let e={refCountAfterDispose:null,numDisposedVariables:0};if(--this._refCount===0){for(let t of this.layers)e.numDisposedVariables+=t.dispose().numDisposedVariables;for(let t of this.internalContainerRefs)e.numDisposedVariables+=t.dispose().numDisposedVariables}return e.refCountAfterDispose=this._refCount,e}get trainable(){return this.trainable_}set trainable(e){this.layers.forEach(t=>{t._trainableWeights.forEach(n=>n.trainable=e)}),this.trainable_=e}get trainableWeights(){if(this._trainableWeights.length>0)throw new V("Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];let e=[];for(let t of this.layers)e=e.concat(t.trainableWeights);return e}get nonTrainableWeights(){let e=[];for(let t of this.layers)e.push(...t.nonTrainableWeights);if(!this.trainable){let t=[];for(let n of this.layers)t.push(...n.trainableWeights);return t.concat(e)}return e}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}loadWeights(e,t=!0){let n={},a=0;for(let s of this.layers)for(let i of s.weights){if(n[i.originalName]!=null)throw new V(`Duplicate weight name: ${i.originalName}`);n[i.originalName]=i,a++}let r=[];for(let s in e){let i=s;if(n[s]==null){let o=s.split("/");i=o.slice(0,-2).concat([o[o.length-1]]).join("/")}if(n[i]!=null)r.push([n[i],e[s]]);else if(t)throw new V(`Provided weight data has no target variable: ${s}`);delete n[i]}if(t){let s=[];for(let i in n)s.push(i);if(s.length>0)throw new V(`${s.length} of ${a} weights are not set: ${s}`)}ew(r)}updatedConfig(){let e=this.getConfig(),t={};return t.className=this.getClassName(),t.config=e,t.kerasVersion=`tfjs-layers ${pw}`,t.backend="TensorFlow.js",t}toJSON(e,t=!0){let n=zy(this.updatedConfig());return t?JSON.stringify(n):n}call(e,t){return P(()=>{e=bt(e);let n=new Hs;for(let a=0;a{e=bt(e);let n;return t==null?n=oi(null,e.length):n=bt(t),this.runInternalGraph(e,n)[1]})}computeOutputShape(e){let t=Sh(e);if(t.length!==this.inputLayers.length)throw new V(`Invalid inputShape argument ${e}: model has ${this.inputLayers.length} tensor inputs.`);let n={};for(let i=0;iparseInt(i,10)).sort(Hd);if(a.length>1)for(let i of a){let o=this.nodesByDepth[i];for(let l of o){let u=l.outboundLayer;if(this.inputLayers.map(m=>m.id).indexOf(u.id)!==-1)continue;let p=[];for(let m=0;mparseInt(o,10)).sort(Hd);for(let o of a){let l=this.nodesByDepth[o];for(let u of l){let p=u.outboundLayer,d=u.inputTensors,c=u.outputTensors,h=new Array;for(let m of d)m.id in n&&h.push(n[m.id]);if(h.length===d.length){let m={},f,g,b,y;if(u.callArgs!=null&&(m=u.callArgs),h.length===1){let[x,w]=h[0];m.mask==null&&(m.mask=w),b=bt(p.call(x,m)),y=bt(p.computeMask(x,w)),f=[x],g=[w]}else f=h.map(x=>x[0]),g=h.map(x=>x[1]),m.mask==null&&(m.mask=g),b=bt(p.call(f,m)),y=bt(p.computeMask(f,g));if(p.activityRegularizer)throw new De("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(let x=0;x{let e=[];for(let t of this.layers)for(let n=0;n0){let m=[];for(let f=0;f0&&f.apply(Mn(b),y)}function l(f){let g=f.name,b=Wa(f,t.customObjects!=null?t.customObjects:{});b.setFastWeightInitDuringBuild(a),r[g]=b,f.inboundNodes.forEach(y=>{if(!(y instanceof Array))throw new V(`Corrupted configuration, expected array for nodeData: ${y}`);i(b,y)})}let u=t.name,p=t.layers;for(let f of p)l(f);for(;!w4(s);)for(let f of p){let g=r[f.name];if(g.name in s){let b=s[g.name];delete s[g.name];for(let y of b)o(g,y)}}let d=[],c=[],h=t.inputLayers;for(let f of h){let g=f[0],b=f[1],y=f[2];er(g in r);let x=r[g].inboundNodes[b].outputTensors;d.push(x[y])}let m=t.outputLayers;for(let f of m){let g=f[0],b=f[1],y=f[2];er(g in r);let x=r[g].inboundNodes[b].outputTensors;c.push(x[y])}return new e({inputs:d,outputs:c,name:u})}get stateful(){if(this._stateful)throw new V("Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");for(let e of this.layers)if(e.stateful)return!0;return!1}resetStates(){P(()=>{this.layers.forEach(e=>{e.stateful&&e.resetStates()})})}};function qV(e,t,n){let a=t.length;if(e==null||Array.isArray(e)&&e.length===0)return t.map(r=>null);if(a===1)return Array.isArray(e)&&e.length===1?e:typeof e=="object"&&t[0]in e?[e[t[0]]]:[e];if(Array.isArray(e)){if(e.length!==a)throw new Error(`Provided ${n} is an array of ${e.length} element(s), but the model has ${a} outputs. Make sure a set of weights is provided for each model output.`);return e}else if(typeof e=="object"&&Object.keys(e).length>0&&typeof e[Object.keys(e)[0]]=="object"){let r=[];return t.forEach(s=>{s in e?r.push(e[s]):r.push(null)}),r}else throw new Error(`The model has multiple (${a}) outputs, so ${n} must be either an array with ${a} elements or an object with ${t} keys. Provided ${n} not understood: ${JSON.stringify(e)}`)}function sN(e,t){return qV(e,t,"classWeight")}async function iN(e,t,n,a){if(t!=null||a!=null)throw new Error("Support sampleWeight is not implemented yet");if(n!=null){let r=P(()=>{if(e.shape.length===1)return ar(e);if(e.shape.length===2){if(e.shape[1]>1)return ai(e,1);if(e.shape[1]===1)return B(e,[e.shape[0]]);throw new Error(`Encountered unexpected last-dimension size (${e.shape[1]}) during handling of class weights. The size is expected to be >= 1.`)}else throw new Error(`Unexpected rank of target (y) tensor (${e.rank}) during handling of class weights. The rank is expected to be 1 or 2.`)}),s=Array.from(await r.data());$e(r);let i=[];return s.forEach(o=>{if(n[o]==null)throw new Error(`classWeight must contain all classes in the training data. The class ${o} exists in the data but not in classWeight`);i.push(n[o])}),Ke(i,"float32")}else return null}function KV(e,t){return z(e,t)}var XV=32;function oN(e,t){let n,a,r=t;n=r.xs,a=r.ys,v.assert(n!=null&&a!=null,()=>`A Dataset iterator for fitDataset() is expected to generate objects of the form \`{xs: xVal, ys: yVal}\`, where the two values may be \`tf.Tensor\`, an array of Tensors, or a map of string to Tensor. The provided Dataset instead generates ${t}`);let s=mk("input",e.inputNames,n),i=mk("output",e.outputNames,a),o=s[0].shape[0];v.assert(s.length===e.inputs.length,()=>`LayersModel has ${e.inputs.length} inputs, but the dataset provides ${s.length} inputs. (Expected input keys: ${JSON.stringify(e.inputNames)})`),v.assert(i.length===e.outputs.length,()=>`LayersModel has ${e.outputs.length} outputs, but the dataset provides ${i.length} outputs. (Expected output keys: ${JSON.stringify(e.outputNames)})`);for(let l=0;l`Batch size mismatch: input ${e.inputNames[l]} has ${s[l].shape[0]}; expected ${o} based on input ${e.inputNames[0]}.`);for(let l=0;l`Batch size mismatch: output ${e.outputNames[l]} has ${i[l].shape[0]}; expected ${o} based on input ${e.inputNames[0]}.`);return{xs:s,ys:i}}function mk(e,t,n){if(n instanceof Te)return[n];if(Array.isArray(n))return v.assert(n.length===t.length,()=>`Received an array of ${n.length} Tensors, but expected ${t.length} to match the ${e} keys ${t}.`),n;{let a=[];for(let r of t){if(n[r]==null)throw new V(`The feature data generated by the dataset lacks the required ${e} key '${r}'.`);a.push(n[r])}return a}}function YV(e){if(e.length===3)throw new De("Validation with sample weights is not implemented yet.");return{xs:e[0],ys:e[1]}}async function ZV(e,t,n){let a=n.batchesPerEpoch!=null;if(v.assert(e.optimizer!=null,()=>"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig)."),v.assert(n!=null,()=>"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."),v.assert(n.epochs!=null&&n.epochs>0&&Number.isInteger(n.epochs),()=>`For fitDataset(), config.epochs is expected to be a positive integer, but got ${n.epochs}`),v.assert(!a||n.batchesPerEpoch>0&&Number.isInteger(n.batchesPerEpoch),()=>`For fitDataset(), config.batchesPerEpoch is expected to be a positive integer if specified, but got ${n.batchesPerEpoch}`),v.assert(n.validationSplit==null,()=>"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."),e.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");e.isTraining=!0;try{let r=n.validationData!=null,s,i;if(r)if(fk(n.validationData))v.assert(n.validationBatches==null||n.validationBatches>0&&Number.isInteger(n.validationBatches),()=>`For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, but got ${n.validationBatches}`);else{let g=YV(n.validationData);s=g.xs,i=g.ys}let o=e.makeTrainFunction(),l=e.getDedupedMetricsNames(),u;r?u=l.slice().concat(l.map(g=>"val_"+g)):u=l.slice();let p=ZT(n.callbacks,n.yieldEvery),d=n.verbose==null?1:n.verbose,{callbackList:c,history:h}=JT(p,d,n.epochs,null,null,JV(t,n),null,r,u);c.setModel(e),e.history=h,await c.onTrainBegin(),e.stopTraining_=!1;let m=n.initialEpoch==null?0:n.initialEpoch,f=await t.iterator();for(;m=n.batchesPerEpoch:x.done){if(r){let w;fk(n.validationData)?w=bt(await e.evaluateDataset(n.validationData,{batches:n.validationBatches})):w=bt(e.evaluate(s,i,{batchSize:n.validationBatchSize==null?XV:n.validationBatchSize,verbose:0}));for(let I=0;I0)throw new De("Verbose mode is not implemented yet.");v.assert(!a||n.batches>0&&Number.isInteger(n.batches),()=>`Test loop expects \`batches\` to be a positive integer, but received ${JSON.stringify(n.batches)}`);let i=QV(t)?t:await t.iterator(),o=0,l=0;for(;!a||l{if(u.value){let{xs:p,ys:d}=oN(e,u.value),c=p.concat(d),h=P(()=>r(c));if($e(c),l===0)for(let f=0;fY(s[f],z(m,g))),l>0&&$e(b)}$e(h),o+=m,++l}return s}),u.done){a&&console.warn(`Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least \`batches\` batches (in this case, ${n.batches} batches). You may need to use the repeat() function when building your dataset.`);break}}for(let u=0;u0&&Number.isInteger(e),()=>`batchSize is required to be a positive integer, but got ${e}`)}function _p(e,t,n){return e==null?[null]:Array.isArray(e)?e.map(a=>Ys(a,t,n-t)):Ys(e,t,n-t)}function cw(e,t){return P(()=>e==null?null:Array.isArray(e)?e.map(n=>cw(n,t)):zT(e,t.dtype==="int32"?t:oe(t,"int32")))}function Wy(e,t){let n=[],a=0,r=null;for(;a=e&&(r=e),n.push([a,r]),a=r;return n}async function tU(e,t,n,a,r,s,i,o,l,u,p,d,c,h,m){r==null&&(r=32),s==null&&(s=1),p==null&&(p=!0),c==null&&(c=0);let f=!1;if(l!=null&&u!=null&&(f=!0),m!=null&&(f=!0,h==null))throw new V("Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.");let g=e.checkNumSamples(n,r,h,"steps_per_epoch"),b;g!=null&&(b=Ua(0,g)),i==null&&(i=1);let{callbackList:y,history:x}=JT(o,i,s,c,g,h,r,f,d);y.setModel(e),e.history=x,await y.onTrainBegin(),e.stopTraining_=!1;for(let w=c;w{let R=C[E][0],F=C[E][1],S=Ys(T,R,F-R);A.batch=E,A.size=F-R;let M=cw(n,S),W=t(M);for(let U=0;U0){if(g=!0,a.validationData.length===2)l=a.validationData[0],u=a.validationData[1];else throw a.validationData.length===3?new De("validationData including sample weights is not supported yet."):new V(`When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; ${a.validationData} is invalid.`);let E=!0,A=await e.standardizeUserData(l,u,null,null,E,h);p=A[0],d=A[1],b=p.concat(d)}else if(a.validationSplit!=null&&a.validationSplit>0&&a.validationSplit<1){g=!0;let E=Math.floor(r[0].shape[0]*(1-a.validationSplit)),A=r[0].shape[0];p=_p(r,E,A),i=r,r=_p(r,0,E),d=_p(s,E,A),o=s,s=_p(s,0,E),b=p.concat(d)}else a.validationSteps!=null&&(g=!0);let y=r.concat(s).concat(c);e.checkTrainableWeightsConsistency();let x=e.makeTrainFunction(),w=e.getDedupedMetricsNames(),I,T;g?(e.makeTestFunction(),I=e.testFunction,T=w.slice().concat(w.map(E=>"val_"+E))):(I=null,b=[],T=w.slice());let C=ZT(a.callbacks,a.yieldEvery);return await tU(e,x,y,w,h,a.epochs,a.verbose,C,I,b,a.shuffle,T,a.initialEpoch,null,null)}finally{e.isTraining=!1,Oa(r,t),Oa(s,n),Oa(i,t),Oa(o,n),Oa(p,l),Oa(d,u),c!=null&&$e(c)}}function lN(e){let t=[];e instanceof Te&&(e=[e]);for(let n=0;nn.push(r.id));else if(t!=null)for(let r in t){let s=t[r];n.push(s.id)}let a=[];if(e instanceof Te)n.indexOf(e.id)===-1&&a.push(e);else if(Array.isArray(e))e.forEach(r=>{n.indexOf(r.id)===-1&&a.push(r)});else if(e!=null)for(let r in e){let s=e[r];n.indexOf(s.id)===-1&&a.push(s)}a.forEach(r=>{r.isDisposed||r.dispose()})}function aU(e){return e instanceof Te}function Vy(e){return Array.isArray(e)}function gk(e){return!aU(e)&&!Vy(e)}function bk(e,t,n,a=!0,r=""){if(t==null||t.length===0){if(e!=null){let i=!1;if(Vy(e)&&e.length>0)i=!0;else if(gk(e)){for(let o in e)if(e.hasOwnProperty(o)){i=!0;break}}else i=!0;if(i)throw new V(`Error when checking model ${r} expected no data, but got ${e}`)}return[]}if(e==null)return t.map(i=>null);let s;if(gk(e)){e=e,s=[];for(let i of t){if(e[i]==null)throw new V(`No data provided for "${i}". Need data for each key in: ${t}`);s.push(e[i])}}else if(Vy(e)){if(e=e,e.length!==t.length)throw new V(`Error when checking model ${r}: the Array of Tensors that you are passing to your model is not the size the model expected. Expected to see ${t.length} Tensor(s), but instead got the following list of Tensor(s): ${e}`);s=e}else{if(e=e,t.length>1)throw new V(`The model ${r} expects ${t.length} Tensor(s), but only received one Tensor. Found: Tensor with shape ${e.shape}`);s=[e]}if(s=lN(s),n!=null)for(let i=0;i=0&&u!==p)throw new V(`${r} expected a batch of elements where each example has shape [${n[i].slice(1,n[i].length)}] (i.e.,tensor shape [*,${n[i].slice(1,n[i].length)}]) but the ${r} received an input with ${o.shape[0]} examples, each with shape [${o.shape.slice(1,o.shape.length)}] (tensor shape [${o.shape}])`)}}return s}function rU(e,t,n){let a=Zr(e.map(s=>s.shape[0]));a.sort();let r=Zr(t.map(s=>s.shape[0]));if(r.sort(),a.length>1)throw new V(`All input Tensors (x) should have the same number of samples. Got array shapes: ${JSON.stringify(e.map(s=>s.shape))}`);if(r.length>1)throw new V(`All target Tensors (y) should have the same number of samples. Got array shapes: ${JSON.stringify(t.map(s=>s.shape))}`);if(a.length>0&&r.length>0&&!v.arraysEqual(a,r))throw new V(`Input Tensors should have the same number of samples as target Tensors. Found ${a[0]} input sample(s) and ${r[0]} target sample(s).`)}function sU(e,t,n){let a=[bo,kf,qp];for(let r=0;r1)throw new V(`The model expects ${t.length} ${r} Tensors, but only received one Tensor. Found: array with shape ${JSON.stringify(e.shape)}.`);s=[e]}if(n!=null)for(let i=0;i[]);let n;if(typeof e=="string"||typeof e=="function")n=[e];else if(Array.isArray(e)||typeof e=="object")n=e;else throw new TypeError(`Type of metrics argument not understood. Expected an string,function, Array, or Object, found: ${e}`);if(Array.isArray(n))return t.map(a=>n);{let a=[];for(let r of t){let s=n.hasOwnProperty(r)?n[r]:[];Array.isArray(s)||(s=[s]),a.push(s)}return a}}var oU="layers-model",Nr=class extends Za{constructor(e){super(e),this.isTraining=!1}summary(e,t,n=console.log){if(!this.built)throw new V("This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).");VV(this,e,t,n)}compile(e){if(e.loss==null&&(e.loss=[]),this.loss=e.loss,typeof e.optimizer=="string")this.optimizer_=WV(e.optimizer),this.isOptimizerOwned=!0;else{if(!(e.optimizer instanceof Ar))throw new V("User-defined optimizer must be an instance of tf.Optimizer.");this.optimizer_=e.optimizer,this.isOptimizerOwned=!1}let t=[];if(!Array.isArray(e.loss)&&typeof e.loss!="string"&&typeof e.loss!="function"){e.loss=e.loss;for(let s in e.loss)if(this.outputNames.indexOf(s)===-1)throw new V(`Unknown entry in loss dictionary: "${s}". Only expected the following keys: ${this.outputNames}`);for(let s of this.outputNames)e.loss[s]==null&&console.warn(`Output "${s}" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data to be passed to ${s} during training`),t.push(py(e.loss[s]))}else if(Array.isArray(e.loss)){if(e.loss.length!==this.outputs.length)throw new V(`When passing an Array as loss, it should have one entry per model output. The model has ${this.outputs.length} output(s), but you passed loss=${e.loss}.`);t=e.loss.map(s=>py(s))}else{let s=py(e.loss);this.outputs.forEach(i=>{t.push(s)})}this.lossFunctions=t,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(let s=0;s{for(let s=0;s1&&(this.metricsTensors.push([i,s]),this.metricsNames.push(this.outputNames[s]+"_loss"))}});let a=iU(e.metrics,this.outputNames),r=(s,i,o)=>{this.outputNames.length>1&&(i=this.outputNames[s]+"_"+i),this.metricsNames.push(i),this.metricsTensors.push([o,s])};Xs("metric",()=>{for(let s=0;s{let l="",u,p,d;for(let c of o){if(typeof c=="string"&&["accuracy","acc","crossentropy","ce"].indexOf(c)!==-1){let m=this.internalOutputShapes[s];m[m.length-1]===1||this.lossFunctions[s]===kf?["accuracy","acc"].indexOf(c)!==-1?p=ow:["crossentropy","ce"].indexOf(c)!==-1&&(p=tN):this.lossFunctions[s]===Eh?["accuracy","acc"].indexOf(c)!==-1?p=nN:["crossentropy","ce"].indexOf(c)!==-1&&(p=aN):["accuracy","acc"].indexOf(c)!==-1?p=lw:["crossentropy","ce"].indexOf(c)!==-1&&(p=uw);let f;["accuracy","acc"].indexOf(c)!==-1?f="acc":["crossentropy","ce"].indexOf(c)!==-1&&(f="ce"),d=p,u=l+f}else d=BV(c),u=l+Kd(c);let h;Xs(u,()=>{h=d}),r(s,u,h)}})(i)}}),this.collectedTrainableWeights=this.trainableWeights}checkTrainableWeightsConsistency(){this.collectedTrainableWeights!=null&&this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn("Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?")}evaluate(e,t,n={}){let a=n.batchSize==null?32:n.batchSize;By(a);let r=!0,s=this.standardizeUserDataXY(e,t,r,a);try{let i=s[0].concat(s[1]);this.makeTestFunction();let o=this.testFunction,l=this.testLoop(o,i,a,n.verbose,n.steps);return Mn(l)}finally{Oa(s[0],e),Oa(s[1],t)}}async evaluateDataset(e,t){return this.makeTestFunction(),eU(this,e,t)}checkNumSamples(e,t,n,a="steps"){let r;if(n!=null){if(r=null,t!=null)throw new V(`If ${a} is set, batchSize must be null or undefined.Got batchSize = ${t}`)}else if(e!=null)Array.isArray(e)?r=e[0].shape[0]:r=e.shape[0];else throw new V(`Either the input data should have a defined shape, or ${a} shoud be specified.`);return r}execute(e,t){if(Array.isArray(t)&&t.length===0)throw new V("`outputs` is an empty Array, which is not allowed.");let n=Array.isArray(t),a=n?t:[t],r=this.retrieveSymbolicTensors(a),s=new Hs;if(e instanceof Te&&(e=[e]),Array.isArray(e)){if(e.length!==this.inputs.length)throw new V(`The number of inputs provided (${e.length}) does not match the number of inputs of this model (${this.inputs.length}).`);for(let o=0;oi.name);for(let i=0;i0){let a=[];throw t.forEach((r,s)=>{r==null&&a.push(e[s])}),new V(`Cannot find SymbolicTensors for output name(s): ${JSON.stringify(a)}`)}return t}predictLoop(e,t=32,n=!1){return P(()=>{let a=this.checkNumSamples(e);if(n)throw new De("Verbose predictLoop() is not implemented yet.");let r=Wy(a,t),s=this.outputs.map(i=>[]);for(let i=0;i{let o=r[i][0],l=r[i][1],u=_p(e,o,l),p=[];if(Array.isArray(u))for(let c=0;cs[l].push(o));return Mn(s.map(i=>Ze(i,0)))})}predict(e,t={}){let n=lN(e);yk(n,this.inputNames,this.feedInputShapes,!1);try{let a=t.batchSize==null?32:t.batchSize;return By(a),this.predictLoop(n,a)}finally{Oa(n,e)}}predictOnBatch(e){yk(e,this.inputNames,this.feedInputShapes,!0);let t=(Array.isArray(e)?e[0]:e).shape[0];return this.predictLoop(e,t)}standardizeUserDataXY(e,t,n=!0,a){if(this.optimizer_==null)throw new La("You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).");let r=[];for(let s=0;s0&&e[0].shape[0]%a!==0)throw new V(`In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size ${a}. Found: ${e[0].shape[0]} sample(s).`);return[e,t]}async standardizeUserData(e,t,n,a,r=!0,s){let[i,o]=this.standardizeUserDataXY(e,t,r,s);if(n!=null)throw new Error("sample weight is not supported yet.");let l=null;if(a!=null){let u=sN(a,this.outputNames);l=[];for(let p=0;p{let s=this.checkNumSamples(t,n,r,"steps"),i=[];if(a>0)throw new De("Verbose mode is not implemented yet.");if(r!=null)throw new De("steps mode in testLoop() is not implemented yet");{let o=Wy(s,n),l=Ke(Ua(0,s));for(let u=0;u1&&(r+=`_${ak(e.slice(0,n),a)}`),t.push(r)}return t}makeTrainFunction(){return e=>{let t=[],n=e.slice(0,this.inputs.length),a=e.slice(this.inputs.length,this.inputs.length+this.outputs.length),r=e.slice(this.inputs.length+this.outputs.length,this.inputs.length+this.outputs.length*2),s=[],i=()=>{let u=[];for(let h=0;h1&&h{c=Y(c,h)}),c},o=this.collectedTrainableWeights.map(u=>u.read()),l=!0;return[this.optimizer_.minimize(i,l,o)].concat(s)}}makeTestFunction(){this.testFunction=e=>P(()=>{let t=[],n,a=e.slice(0,this.inputs.length),r=e.slice(this.inputs.length,this.inputs.length+this.outputs.length),s=[];for(let l=0;lvr(t))}else{let t=Object.keys(this.loss);e={};let n=this.loss;for(let a of t)if(typeof n[a]=="string")e[a]=vr(n[a]);else throw new Error("Serialization of non-string loss is not supported.")}return e}getMetricIdentifiers(){if(typeof this.metrics=="string"||typeof this.metrics=="function")return[vr(Kd(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map(e=>vr(Kd(e)));{let e={};for(let t in this.metrics)e[t]=vr(Kd(this.metrics[t]));return e}}getTrainingConfig(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}}loadTrainingConfig(e){if(e.weighted_metrics!=null)throw new Error("Loading weight_metrics is not supported yet.");if(e.loss_weights!=null)throw new Error("Loading loss_weights is not supported yet.");if(e.sample_weight_mode!=null)throw new Error("Loading sample_weight_mode is not supported yet.");let t=Kp(e.optimizer_config),n=Wa(t),a;if(typeof e.loss=="string")a=Vs(e.loss);else if(Array.isArray(e.loss))a=e.loss.map(s=>Vs(s));else if(e.loss!=null){a={};for(let s in e.loss)a[s]=Vs(e.loss[s])}let r;if(Array.isArray(e.metrics))r=e.metrics.map(s=>Vs(s));else if(e.metrics!=null){r={};for(let s in e.metrics)r[s]=Vs(e.metrics[s])}this.compile({loss:a,metrics:r,optimizer:n})}async save(e,t){if(typeof e=="string"){let i=Ut.getSaveHandlers(e);if(i.length===0)throw new V(`Cannot find any save handlers for URL '${e}'`);if(i.length>1)throw new V(`Found more than one (${i.length}) save handlers for URL '${e}'`);e=i[0]}if(e.save==null)throw new V("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");let n=await Ut.encodeWeights(this.getNamedWeights(t)),a=!1,r=null,s={modelTopology:this.toJSON(r,a),format:oU,generatedBy:`TensorFlow.js tfjs-layers v${pw}`,convertedBy:null};if((t==null?!1:t.includeOptimizer)&&this.optimizer!=null){s.trainingConfig=this.getTrainingConfig();let i="optimizer",{data:o,specs:l}=await Ut.encodeWeights(await this.optimizer.getWeights(),i);n.specs.push(...l),n.data=Ut.concatenateArrayBuffers([n.data,o])}return this.userDefinedMetadata!=null&&(hk(this.userDefinedMetadata,this.name,!0),s.userDefinedMetadata=this.userDefinedMetadata),s.weightData=n.data,s.weightSpecs=n.specs,e.save(s)}setUserDefinedMetadata(e){hk(e,this.name),this.userDefinedMetadata=e}getUserDefinedMetadata(){return this.userDefinedMetadata}};Nr.className="Model";ne.registerClass(Nr);var uN=class extends Nr{};uN.className="Functional";ne.registerClass(uN);async function lU(e,t){"modelTopology"in e||(e={modelTopology:e}),e=e;let n=e.modelTopology;n.model_config!=null&&(n=n.model_config);let a=Kp(n),r=Wa(a,t);if(e.weightsManifest!=null){let s=await Ut.loadWeights(e.weightsManifest,e.pathPrefix,r.weights.map(o=>o.originalName)),i={};for(let o of r.weights)i[o.originalName]=s[o.originalName];r.loadWeights(i),$e(s)}return r}async function uU(e,t){if(t==null&&(t={}),typeof e=="string"){let n=Ut.getLoadHandlers(e,t);if(n.length===0)n.push(Ut.browserHTTPRequest(e,t));else if(n.length>1)throw new V(`Found more than one (${n.length}) load handlers for URL '${e}'`);e=n[0]}return pU(e,void 0,t)}async function pU(e,t,n){if(n==null&&(n={}),e.load==null)throw new V("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let a=await e.load(),r=a.modelTopology;r.model_config!=null&&(r=r.model_config);let s=n.strict==null?!0:n.strict,i=a.weightData!=null&&a.weightSpecs!=null&&s,o=Wa(Kp(r),t,i),l=a.trainingConfig;if(l!=null&&o.loadTrainingConfig(l),a.userDefinedMetadata!=null&&o.setUserDefinedMetadata(a.userDefinedMetadata),a.weightData!=null){if(a.weightSpecs==null)throw new V("LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.");let{modelWeights:u,optimizerWeights:p}=cU(a.weightData,a.weightSpecs);o.loadWeights(u,s),o.optimizer!=null&&p.length>0&&await o.optimizer.setWeights(p),$e(u),$e(p.map(d=>d.tensor))}return o}function cU(e,t){let n=Ut.decodeWeights(e,t),a={},r=[];return t.forEach(s=>{s.group==="optimizer"?r.push({name:s.name,tensor:n[s.name]}):a[s.name]=n[s.name]}),{modelWeights:a,optimizerWeights:r}}var cl=class extends Nr{constructor(e){if(super({inputs:[],outputs:[]}),e=e||{},this.trainable=!0,this.built=!1,this.name=e.name!=null?e.name:cf("sequential_"),e.layers!=null)for(let t of e.layers)this.add(t)}checkShape(e){if(e.inboundNodes[0].outputTensors[0].shape.some(t=>t<0))throw new V(`Negative dimension size caused by adding layer ${e.name} with input shape [${e.inboundNodes[0].inputTensors[0].shape}]`)}add(e){let t=e instanceof cl||e instanceof Nr,n;if(t){if(n=e,n.outputs.length!==1)throw new V("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");if(n.inputs.length!==1)throw new V("All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.")}if(this.outputs.length===0){if(e.inboundNodes.length===0){if(e.batchInputShape==null)throw new V("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");let a=UT({batchShape:e.batchInputShape,dtype:e.dtype,name:e.name+"_input"});e.apply(a)}if(t)this.outputs=n.outputs,this.inputs=n.inputs;else{if(e.inboundNodes.length!==1)throw new V(`A layer added to a Sequential model must not already be connected somewhere else. LayersModel received layer ${e.name} which has ${e.inboundNodes.length} pre-existing inbound connections.`);if(e.inboundNodes[0].outputTensors.length!==1)throw new V("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[e.inboundNodes[0].outputTensors[0]],this.inputs=VT(this.outputs[0])}this.inboundNodes=[],new vf({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:oi(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(a=>a.shape),outputShapes:this.outputs[0].shape})}else{let a=e.apply(this.outputs[0]);if(Array.isArray(a))throw new TypeError("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[a],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(e),this.built=!1}pop(){if(this.layers.length===0)throw new TypeError("There are no layers in the model.");if(this.layers.pop(),this.layers.length===0)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{let e=this.layers.length-1;this.layers[e].outboundNodes=[],this.outputs=[this.layers[e].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}}call(e,t){return this.model==null&&this.build(),this.model.call(e,t)}build(e){if(at(e),this.inputs.length===0||this.outputs.length===0)throw new TypeError("Sequential model cannot be built: model is empty. Add some layers first.");this.model=new Nr({inputs:this.inputs,outputs:this.outputs[0],name:this.name+"_model"}),this.model.trainable=this.trainable,this.supportsMasking=this.model.supportsMasking,this.inputLayers=this.model.inputLayers,this.inputLayersNodeIndices=this.model.inputLayersNodeIndices,this.inputLayersTensorIndices=this.model.inputLayersTensorIndices,this.outputLayers=this.model.outputLayers,this.outputLayersNodeIndices=this.model.outputLayersNodeIndices,this.outputLayersTensorIndices=this.model.outputLayersTensorIndices,this.nodesByDepth=this.model.nodesByDepth,this.containerNodes=this.model.containerNodes,this.outputNames=this.model.outputNames,this.inputNames=this.model.inputNames,this.built=!0}countParams(){return this.built||this.build(),super.countParams()}summary(e,t,n=console.log){this.built||this.build(),super.summary(e,t,n)}setWeights(e){this.model==null&&this.build(),this.model.setWeights(e)}evaluate(e,t,n={}){if(!this.built)throw new La("The model needs to be compiled before being used.");return this.model.evaluate(e,t,n)}async evaluateDataset(e,t){if(!this.built)throw new La("The model needs to be compiled before being used.");return this.model.evaluateDataset(e,t)}predict(e,t={}){return this.model==null&&this.build(),this.model.predict(e,t)}predictOnBatch(e){return this.model==null&&this.build(),this.model.predictOnBatch(e)}compile(e){this.build(),this.model.compile(e),this.optimizer_=this.model.optimizer,this.isOptimizerOwned=this.model.isOptimizerOwned,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames}get optimizer(){return this.model==null?void 0:this.model.optimizer}set optimizer(e){this.model.optimizer=e}async fit(e,t,n={}){if(!this.built)throw new La("The model needs to be compiled before being used.");return this.model.fit(e,t,n)}async fitDataset(e,t){if(!this.built)throw new La("The model needs to be compiled before being used.");return this.model.fitDataset(e,t)}async trainOnBatch(e,t){return this.model.trainOnBatch(e,t)}static fromConfig(e,t,n={},a=!1){let r,s={};if(t instanceof Array){if(t[0].className==null||t[0].className==="Merge")throw new V("Legacy serialization format not supported yet.");r=t}else v.assert(t.layers!=null,()=>"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field."),r=t.layers,delete t.layers,s=t;let i=new e(s);if(!(i instanceof cl))throw new De(`Sequential.fromConfig called on non-Sequential input: ${i}`);for(let o of r){let l=Wa(o,void 0,a);a&&l.setFastWeightInitDuringBuild(!0),i.add(l)}return i}set stopTraining(e){if(this.model==null)throw new V("Cannot set the stopTraining property of a sequential model before it is compiled.");this.model.stopTraining=e}get stopTraining(){if(this.model==null)throw new V("Cannot get the stopTraining property of a sequential model before it is compiled.");return this.model.stopTraining}getConfig(){let e=[];for(let t of this.layers){let n={};n.className=t.getClassName(),n.config=t.getConfig(),e.push(n)}return{name:this.name,layers:e}}};cl.className="Sequential";ne.registerClass(cl);function dU(e){return new Nr(e)}function hU(e){return new cl(e)}function mU(e,t){return t==null&&(t={}),uU(e,t)}function pN(e){return UT(e)}function fU(e,t){Sa.registerCallbackConstructor(e,t)}var Un=class extends ne.Serializable{getConfig(){return{}}},cN=class extends Un{apply(e,t=1){return P4(e,t)}};cN.className="elu";ne.registerClass(cN);var dN=class extends Un{apply(e){return Hm(e)}};dN.className="selu";ne.registerClass(dN);var hN=class extends Un{apply(e){return Xe(e)}};hN.className="relu";ne.registerClass(hN);var mN=class extends Un{apply(e){return P(()=>_u(6,Xe(e)))}};mN.className="relu6";ne.registerClass(mN);var fN=class extends Un{apply(e){return e}};fN.className="linear";ne.registerClass(fN);var gN=class extends Un{apply(e){return da(e)}};gN.className="sigmoid";ne.registerClass(gN);var bN=class extends Un{apply(e){return L4(e)}};bN.className="hardSigmoid";ne.registerClass(bN);var yN=class extends Un{apply(e){return ho(e)}};yN.className="softplus";ne.registerClass(yN);var xN=class extends Un{apply(e){return O4(e)}};xN.className="softsign";ne.registerClass(xN);var vN=class extends Un{apply(e){return ri(e)}};vN.className="tanh";ne.registerClass(vN);var dw=class extends Un{apply(e,t=-1){return ja(e,t)}};dw.className="softmax";ne.registerClass(dw);var wN=class extends Un{apply(e,t=-1){return Om(e,t)}};wN.className="logSoftmax";ne.registerClass(wN);var kN=class extends Un{apply(e,t=1){return P(()=>z(da(z(e,t)),e))}};kN.className="swish";ne.registerClass(kN);var IN=class extends Un{apply(e){return P(()=>z(e,ri(ho(e))))}};IN.className="mish";ne.registerClass(IN);function as(e){return e.getClassName()}function cy(e,t={}){return Bc(e,ne.SerializationMap.getMap().classNameMap,t,"activation")}function rs(e){if(e==null){let t={};return t.className="linear",t.config={},cy(t)}if(typeof e=="string"){let t={};return t.className=e,t.config={},cy(t)}else return e instanceof Un?e:cy(e)}function hw(e){if(e!=null&&typeof e!="object")throw new Error(`Argument to L1L2 regularizer's constructor is expected to be an object, but received: ${e}`)}var SN=class extends ne.Serializable{},jc=class extends SN{constructor(e){super(),hw(e),this.l1=e==null||e.l1==null?.01:e.l1,this.l2=e==null||e.l2==null?.01:e.l2,this.hasL1=this.l1!==0,this.hasL2=this.l2!==0}apply(e){return P(()=>{let t=It([1]);return this.hasL1&&(t=Y(t,fe(z(this.l1,Lt(e))))),this.hasL2&&(t=Y(t,fe(z(this.l2,Uc(e))))),B(t,[])})}getConfig(){return{l1:this.l1,l2:this.l2}}static fromConfig(e,t){return new e({l1:t.l1,l2:t.l2})}};jc.className="L1L2";ne.registerClass(jc);function gU(e){return hw(e),new jc({l1:e!=null?e.l1:null,l2:0})}function bU(e){return hw(e),new jc({l2:e!=null?e.l2:null,l1:0})}var xk={l1l2:"L1L2"};function pt(e){return Gv(e)}function vk(e,t={}){return Bc(e,ne.SerializationMap.getMap().classNameMap,t,"regularizer")}function Tt(e){if(e==null)return null;if(typeof e=="string"){let t={className:e in xk?xk[e]:e,config:{}};return vk(t)}else return e instanceof SN?e:vk(e)}var mw=class extends qe{constructor(e){super(e==null?{}:e),this.supportsMasking=!0,e!=null&&(this.maxValue=e.maxValue)}call(e,t){e=Re(e);let n=Xe(e);return this.maxValue!=null&&(n=Qt(n,0,this.maxValue)),n}computeOutputShape(e){return e}getConfig(){let e={maxValue:this.maxValue},t=super.getConfig();return Object.assign(e,t),e}};mw.className="ReLU";ne.registerClass(mw);var fw=class extends qe{constructor(e){super(e==null?{}:e),this.DEFAULT_ALPHA=.3,e==null&&(e={}),this.alpha=e.alpha==null?this.DEFAULT_ALPHA:e.alpha}call(e,t){let n=Re(e);return Ac(n,this.alpha)}computeOutputShape(e){return e}getConfig(){let e={alpha:this.alpha},t=super.getConfig();return Object.assign(e,t),e}};fw.className="LeakyReLU";ne.registerClass(fw);var gw=class extends qe{constructor(e){if(super(e==null?{}:e),this.DEFAULT_ALPHA_INITIALIZER="zeros",e==null&&(e={}),this.supportsMasking=!0,this.alphaInitializer=St(e.alphaInitializer||this.DEFAULT_ALPHA_INITIALIZER),this.alphaRegularizer=Tt(e.alphaRegularizer),this.alphaConstraint=Kt(e.alphaConstraint),e.sharedAxes==null)this.sharedAxes=null;else if(Array.isArray(e.sharedAxes))this.sharedAxes=e.sharedAxes;else if(typeof e.sharedAxes=="number")this.sharedAxes=[e.sharedAxes];else throw new V(`Expected sharedAxes to be a number or an array of numbers, but got ${e.sharedAxes}`)}build(e){e=at(e);let t=e.slice(1);if(this.sharedAxes!=null)for(let a of this.sharedAxes)t[a-1]=1;this.alpha=this.addWeight("alpha",t,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);let n={};if(this.sharedAxes!=null)for(let a=1;a(Rt(t),t==="channelsFirst"?Ce(e,[0,2,3,1]):e))}function TN(e,t){return P(()=>(Rt(t),t==="channelsFirst"?Ce(e,[0,2,3,4,1]):e))}function yU(e,t,n,a=1,r="valid",s,i=1){return P(()=>{if(s==null&&(s=Ga()),Rt(s),e.shape.length!==3)throw new V(`The input of a conv1dWithBias operation should be 3, but is ${e.shape.length} instead.`);if(t.shape.length!==3)throw new V(`The kernel for a conv1dWithBias operation should be 3, but is ${t.shape.length} instead`);if(n!=null&&n.shape.length!==1)throw new V(`The bias for a conv1dWithBias operation should be 1, but is ${t.shape.length} instead`);if(s==="channelsFirst"&&(e=Ce(e,[0,2,1])),r==="causal")throw new De("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");let o=Am(e,t,a,r==="same"?"same":"valid","NWC",i);return n!=null&&(o=qa(o,n)),o})}function wk(e,t,n,a=[1,1],r="valid",s,i,o=null){return P(()=>{if(s==null&&(s=Ga()),Rt(s),e.rank!==3&&e.rank!==4)throw new V(`conv2dWithBiasActivation expects input to be of rank 3 or 4, but received ${e.rank}.`);if(t.rank!==3&&t.rank!==4)throw new V(`conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received ${e.rank}.`);let l=vw(e,s);if(r==="causal")throw new De("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return l=ll.conv2d({x:l,filter:t,strides:a,pad:r==="same"?"same":"valid",dilations:i,dataFormat:"NHWC",bias:n,activation:o}),s==="channelsFirst"&&(l=Ce(l,[0,3,1,2])),l})}function xU(e,t,n,a=[1,1,1],r="valid",s,i){return P(()=>{if(s==null&&(s=Ga()),Rt(s),e.rank!==4&&e.rank!==5)throw new V(`conv3dWithBias expects input to be of rank 4 or 5, but received ${e.rank}.`);if(t.rank!==4&&t.rank!==5)throw new V(`conv3dWithBias expects kernel to be of rank 4 or 5, but received ${e.rank}.`);let o=TN(e,s);if(r==="causal")throw new De("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return o=sv(o,t,a,r==="same"?"same":"valid","NDHWC",i),n!=null&&(o=qa(o,n)),s==="channelsFirst"&&(o=Ce(o,[0,4,1,2,3])),o})}var ww=class extends qe{constructor(e,t){if(super(t),this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",ww.verifyArgs(t),this.rank=e,Jt(this.rank,"rank"),this.rank!==1&&this.rank!==2&&this.rank!==3)throw new De(`Convolution layer for rank other than 1, 2, or 3 (${this.rank}) is not implemented yet.`);if(this.kernelSize=Qo(t.kernelSize,e,"kernelSize"),this.strides=Qo(t.strides==null?1:t.strides,e,"strides"),this.padding=t.padding==null?"valid":t.padding,ba(this.padding),this.dataFormat=t.dataFormat==null?"channelsLast":t.dataFormat,Rt(this.dataFormat),this.activation=rs(t.activation),this.useBias=t.useBias==null?!0:t.useBias,this.biasInitializer=St(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.biasConstraint=Kt(t.biasConstraint),this.biasRegularizer=Tt(t.biasRegularizer),this.activityRegularizer=Tt(t.activityRegularizer),this.dilationRate=Qo(t.dilationRate==null?1:t.dilationRate,e,"dilationRate"),this.rank===1&&Array.isArray(this.dilationRate)&&this.dilationRate.length!==1)throw new V(`dilationRate must be a number or an array of a single number for 1D convolution, but received ${JSON.stringify(this.dilationRate)}`);if(this.rank===2){if(typeof this.dilationRate=="number")this.dilationRate=[this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==2)throw new V(`dilationRate must be a number or array of two numbers for 2D convolution, but received ${JSON.stringify(this.dilationRate)}`)}else if(this.rank===3){if(typeof this.dilationRate=="number")this.dilationRate=[this.dilationRate,this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==3)throw new V(`dilationRate must be a number or array of three numbers for 3D convolution, but received ${JSON.stringify(this.dilationRate)}`)}}static verifyArgs(e){if(er("kernelSize"in e,"required key 'kernelSize' not in config"),typeof e.kernelSize!="number"&&!Hv(e.kernelSize,"number",1,3))throw new V(`BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received ${JSON.stringify(e.kernelSize)}.`)}getConfig(){let e={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:as(this.activation),useBias:this.useBias,biasInitializer:Ct(this.biasInitializer),biasRegularizer:pt(this.biasRegularizer),activityRegularizer:pt(this.activityRegularizer),biasConstraint:qt(this.biasConstraint)},t=super.getConfig();return Object.assign(e,t),e}},qc=class extends ww{constructor(e,t){super(e,t),this.kernel=null,qc.verifyArgs(t),this.filters=t.filters,Jt(this.filters,"filters"),this.kernelInitializer=St(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.kernelConstraint=Kt(t.kernelConstraint),this.kernelRegularizer=Tt(t.kernelRegularizer)}build(e){e=at(e);let t=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[t]==null)throw new V(`The channel dimension of the input should be defined. Found ${e[t]}`);let n=e[t],a=this.kernelSize.concat([n,this.filters]);this.kernel=this.addWeight("kernel",a,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:{[t]:n}}],this.built=!0}call(e,t){return P(()=>{e=Re(e);let n,a=this.bias==null?null:this.bias.read(),r=DT(this.activation.getClassName());if(r!=null&&this.rank===2)n=wk(e,this.kernel.read(),a,this.strides,this.padding,this.dataFormat,this.dilationRate,r);else{if(this.rank===1)n=yU(e,this.kernel.read(),a,this.strides[0],this.padding,this.dataFormat,this.dilationRate[0]);else if(this.rank===2)n=wk(e,this.kernel.read(),a,this.strides,this.padding,this.dataFormat,this.dilationRate);else if(this.rank===3)n=xU(e,this.kernel.read(),a,this.strides,this.padding,this.dataFormat,this.dilationRate);else throw new De("convolutions greater than 3D are not implemented yet.");this.activation!=null&&(n=this.activation.apply(n))}return n})}computeOutputShape(e){e=at(e);let t=[],n=this.dataFormat==="channelsLast"?e.slice(1,e.length-1):e.slice(2);for(let r=0;r 0 but got ${JSON.stringify(e.filters)}`)}},Kc=class extends qc{constructor(e){super(2,e),Kc.verifyArgs(e)}getConfig(){let e=super.getConfig();return delete e.rank,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!Hv(e.kernelSize,"number",1,2))throw new V(`Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received ${JSON.stringify(e.kernelSize)}.`)}};Kc.className="Conv2D";ne.registerClass(Kc);var Xc=class extends qc{constructor(e){super(3,e),Xc.verifyArgs(e)}getConfig(){let e=super.getConfig();return delete e.rank,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!(Array.isArray(e.kernelSize)&&(e.kernelSize.length===1||e.kernelSize.length===3)))throw new V(`Conv3D expects config.kernelSize to be number or [number, number, number], but received ${JSON.stringify(e.kernelSize)}.`)}};Xc.className="Conv3D";ne.registerClass(Xc);var kw=class extends Kc{constructor(e){if(super(e),this.inputSpec=[new zt({ndim:4})],this.padding!=="same"&&this.padding!=="valid")throw new V(`Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(e){if(e=at(e),e.length!==4)throw new V("Input should have rank 4; Received input shape: "+JSON.stringify(e));let t=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[t]==null)throw new V("The channel dimension of the inputs should be defined. Found `None`.");let n=e[t],a=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",a,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new zt({ndim:4,axes:{[t]:n}})],this.built=!0}call(e,t){return P(()=>{let n=Re(e);if(n.shape.length!==4)throw new V(`Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let a=n.shape,r=a[0],s,i;this.dataFormat==="channelsFirst"?(s=2,i=3):(s=1,i=2);let o=a[s],l=a[i],u=this.kernelSize[0],p=this.kernelSize[1],d=this.strides[0],c=this.strides[1],h=tr(o,d,u,this.padding),m=tr(l,c,p,this.padding),f=[r,h,m,this.filters];this.dataFormat!=="channelsLast"&&(n=Ce(n,[0,2,3,1]));let g=$m(n,this.kernel.read(),f,this.strides,this.padding);return this.dataFormat!=="channelsLast"&&(g=Ce(g,[0,3,1,2])),this.bias!=null&&(g=qa(g,this.bias.read(),this.dataFormat)),this.activation!=null&&(g=this.activation.apply(g)),g})}computeOutputShape(e){e=at(e);let t=e.slice(),n,a,r;this.dataFormat==="channelsFirst"?(n=1,a=2,r=3):(n=3,a=1,r=2);let s=this.kernelSize[0],i=this.kernelSize[1],o=this.strides[0],l=this.strides[1];return t[n]=this.filters,t[a]=tr(t[a],o,s,this.padding),t[r]=tr(t[r],l,i,this.padding),t}getConfig(){let e=super.getConfig();return delete e.dilationRate,e}};kw.className="Conv2DTranspose";ne.registerClass(kw);var Iw=class extends Xc{constructor(e){if(super(e),this.inputSpec=[new zt({ndim:5})],this.padding!=="same"&&this.padding!=="valid")throw new V(`Conv3DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(e){if(e=at(e),e.length!==5)throw new V("Input should have rank 5; Received input shape: "+JSON.stringify(e));let t=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[t]==null)throw new V("The channel dimension of the inputs should be defined. Found `None`.");let n=e[t],a=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",a,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new zt({ndim:5,axes:{[t]:n}})],this.built=!0}call(e,t){return P(()=>{let n=Re(e);if(n.shape.length!==5)throw new V(`Conv3DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let a=n.shape,r=a[0],s,i,o;this.dataFormat==="channelsFirst"?(o=2,s=3,i=4):(o=1,s=2,i=3);let l=a[o],u=a[s],p=a[i],d=this.kernelSize[0],c=this.kernelSize[1],h=this.kernelSize[2],m=this.strides[0],f=this.strides[1],g=this.strides[2],b=tr(l,m,d,this.padding),y=tr(u,f,c,this.padding),x=tr(p,g,h,this.padding),w=[r,b,y,x,this.filters];this.dataFormat!=="channelsLast"&&(n=Ce(n,[0,2,3,4,1]));let I=iv(n,this.kernel.read(),w,this.strides,this.padding);return this.dataFormat!=="channelsLast"&&(I=Ce(I,[0,4,1,2,3])),this.bias!==null&&(I=qa(I,this.bias.read(),this.dataFormat)),this.activation!==null&&(I=this.activation.apply(I)),I})}computeOutputShape(e){e=at(e);let t=e.slice(),n,a,r,s;this.dataFormat==="channelsFirst"?(n=1,a=2,r=3,s=4):(n=4,a=1,r=2,s=3);let i=this.kernelSize[0],o=this.kernelSize[1],l=this.kernelSize[2],u=this.strides[0],p=this.strides[1],d=this.strides[2];return t[n]=this.filters,t[a]=tr(t[a],u,i,this.padding),t[r]=tr(t[r],p,o,this.padding),t[s]=tr(t[s],d,l,this.padding),t}getConfig(){let e=super.getConfig();return delete e.dilationRate,e}};Iw.className="Conv3DTranspose";ne.registerClass(Iw);var NN=class extends qc{constructor(e,t){if(super(e,t),this.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",this.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",this.depthwiseKernel=null,this.pointwiseKernel=null,t.filters==null)throw new V("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(t.kernelInitializer!=null||t.kernelRegularizer!=null||t.kernelConstraint!=null)throw new V("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(t.padding!=null&&t.padding!=="same"&&t.padding!=="valid")throw new V(`SeparableConv${this.rank}D supports only padding modes: 'same' and 'valid', but received ${JSON.stringify(t.padding)}`);this.depthMultiplier=t.depthMultiplier==null?1:t.depthMultiplier,this.depthwiseInitializer=St(t.depthwiseInitializer||this.DEFAULT_DEPTHWISE_INITIALIZER),this.depthwiseRegularizer=Tt(t.depthwiseRegularizer),this.depthwiseConstraint=Kt(t.depthwiseConstraint),this.pointwiseInitializer=St(t.depthwiseInitializer||this.DEFAULT_POINTWISE_INITIALIZER),this.pointwiseRegularizer=Tt(t.pointwiseRegularizer),this.pointwiseConstraint=Kt(t.pointwiseConstraint)}build(e){if(e=at(e),e.length{e=Re(e);let n;if(this.rank===1)throw new De("1D separable convolution is not implemented yet.");return this.rank===2&&(this.dataFormat==="channelsFirst"&&(e=Ce(e,[0,2,3,1])),n=vs(e,this.depthwiseKernel.read(),this.pointwiseKernel.read(),this.strides,this.padding,this.dilationRate,"NHWC")),this.useBias&&(n=qa(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),this.dataFormat==="channelsFirst"&&(n=Ce(n,[0,3,1,2])),n})}getConfig(){let e=super.getConfig();return delete e.rank,delete e.kernelInitializer,delete e.kernelRegularizer,delete e.kernelConstraint,e.depthwiseInitializer=Ct(this.depthwiseInitializer),e.pointwiseInitializer=Ct(this.pointwiseInitializer),e.depthwiseRegularizer=pt(this.depthwiseRegularizer),e.pointwiseRegularizer=pt(this.pointwiseRegularizer),e.depthwiseConstraint=qt(this.depthwiseConstraint),e.pointwiseConstraint=qt(this.pointwiseConstraint),e}};NN.className="SeparableConv";var Sw=class extends NN{constructor(e){super(2,e)}};Sw.className="SeparableConv2D";ne.registerClass(Sw);var If=class extends qc{constructor(e){super(1,e),If.verifyArgs(e),this.inputSpec=[{ndim:3}]}getConfig(){let e=super.getConfig();return delete e.rank,delete e.dataFormat,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!Hv(e.kernelSize,"number",1,1))throw new V(`Conv1D expects config.kernelSize to be number or number[] with length 1, but received ${JSON.stringify(e.kernelSize)}.`)}};If.className="Conv1D";ne.registerClass(If);var Tw=class extends qe{constructor(e){super(e),typeof e.cropping=="number"?this.cropping=[[e.cropping,e.cropping],[e.cropping,e.cropping]]:typeof e.cropping[0]=="number"?this.cropping=[[e.cropping[0],e.cropping[0]],[e.cropping[1],e.cropping[1]]]:this.cropping=e.cropping,this.dataFormat=e.dataFormat===void 0?"channelsLast":e.dataFormat,this.inputSpec=[{ndim:4}]}computeOutputShape(e){return this.dataFormat==="channelsFirst"?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]}call(e,t){return P(()=>{if(e=Re(e),this.dataFormat==="channelsLast"){let n=qd(e,this.cropping[0][0],e.shape[1]-this.cropping[0][0]-this.cropping[0][1],2);return qd(n,this.cropping[1][0],e.shape[2]-this.cropping[1][1]-this.cropping[1][0],3)}else{let n=qd(e,this.cropping[0][0],e.shape[2]-this.cropping[0][0]-this.cropping[0][1],3);return qd(n,this.cropping[1][0],e.shape[3]-this.cropping[1][1]-this.cropping[1][0],4)}})}getConfig(){let e={cropping:this.cropping,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}};Tw.className="Cropping2D";ne.registerClass(Tw);var Nw=class extends qe{constructor(e){super(e),this.DEFAULT_SIZE=[2,2],this.inputSpec=[{ndim:4}],this.size=e.size==null?this.DEFAULT_SIZE:e.size,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Rt(this.dataFormat),this.interpolation=e.interpolation==null?"nearest":e.interpolation,E4(this.interpolation)}computeOutputShape(e){if(this.dataFormat==="channelsFirst"){let t=e[2]==null?null:this.size[0]*e[2],n=e[3]==null?null:this.size[1]*e[3];return[e[0],e[1],t,n]}else{let t=e[1]==null?null:this.size[0]*e[1],n=e[2]==null?null:this.size[1]*e[2];return[e[0],t,n,e[3]]}}call(e,t){return P(()=>{let n=Re(e),a=n.shape;if(this.dataFormat==="channelsFirst"){n=Ce(n,[0,2,3,1]);let r=this.size[0]*a[2],s=this.size[1]*a[3],i=this.interpolation==="nearest"?Ir.resizeNearestNeighbor(n,[r,s]):Ir.resizeBilinear(n,[r,s]);return Ce(i,[0,3,1,2])}else{let r=this.size[0]*a[1],s=this.size[1]*a[2];return this.interpolation==="nearest"?Ir.resizeNearestNeighbor(n,[r,s]):Ir.resizeBilinear(n,[r,s])}})}getConfig(){let e={size:this.size,dataFormat:this.dataFormat,interpolation:this.interpolation},t=super.getConfig();return Object.assign(e,t),e}};Nw.className="UpSampling2D";ne.registerClass(Nw);function vU(e,t,n=[1,1],a="valid",r,s){return P(()=>{r==null&&(r=Ga()),Rt(r);let i=vw(e,r);if(e.rank!==4)throw new V(`Input for depthwiseConv2d is required to be 4-D, but is instead ${e.rank}-D`);if(t.rank!==4)throw new V(`depthwiseKernel is required to be 4-D, but is instead ${t.rank}-D`);return i=bs(i,t,n,a==="same"?"same":"valid","NHWC",s),r==="channelsFirst"&&(i=Ce(i,[0,3,1,2])),i})}var Cw=class extends ww{constructor(e){super(2,e),this.depthwiseKernel=null,this.depthMultiplier=e.depthMultiplier==null?1:e.depthMultiplier,this.depthwiseInitializer=St(e.depthwiseInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.depthwiseConstraint=Kt(e.depthwiseConstraint),this.depthwiseRegularizer=Tt(e.depthwiseRegularizer)}build(e){if(e=at(e),e.length<4)throw new V(`Inputs to DepthwiseConv2D should have rank 4. Received input shape: ${JSON.stringify(e)}.`);let t=this.dataFormat==="channelsFirst"?1:3;if(e[t]==null||e[t]<0)throw new V(`The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not (${e[t]}).`);let n=e[t],a=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",a,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return P(()=>{e=Re(e);let n=vU(e,this.depthwiseKernel.read(),this.strides,this.padding,this.dataFormat,null);return this.useBias&&(n=qa(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),n})}computeOutputShape(e){e=at(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2],a=this.dataFormat==="channelsFirst"?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,r=Va(t,this.kernelSize[0],this.padding,this.strides[0]),s=Va(n,this.kernelSize[1],this.padding,this.strides[1]);return this.dataFormat==="channelsFirst"?[e[0],a,r,s]:[e[0],r,s,a]}getConfig(){let e=super.getConfig();return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=Ct(this.depthwiseInitializer),e.depthwiseRegularizer=pt(this.depthwiseRegularizer),e.depthwiseConstraint=qt(this.depthwiseRegularizer),e}};Cw.className="DepthwiseConv2D";ne.registerClass(Cw);function CN(e,t,n,a){if(Array.isArray(e)){if(t!=null||n!=null)throw new V("When inputs is an array, neither initialState or constants should be provided");a!=null&&(n=e.slice(e.length-a,e.length),e=e.slice(0,e.length-a)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function r(s){return s==null||Array.isArray(s)?s:[s]}return t=r(t),n=r(n),{inputs:e,initialState:t,constants:n}}function _N(e,t,n,a=!1,r,s,i=!1,o=!1){return P(()=>{let l=t.shape.length;if(l<3)throw new V(`Input should be at least 3D, but is ${l}D.`);let u=[1,0].concat(Ua(2,l));if(t=Ce(t,u),s!=null)throw new De("The rnn() functoin of the deeplearn.js backend does not support constants yet.");i&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),r!=null&&(r=oe(oe(r,"bool"),"float32"),r.rank===l-1&&(r=hn(r,-1)),r=Ce(r,u)),a&&(t=ma(t,0),r!=null&&(r=ma(r,0)));let p=[],d,c=n,h=t.shape[0],m=ct(t),f;r!=null&&(f=ct(r));for(let b=0;be(y,c));if(r==null)d=x[0],c=x[1];else{let w=P(()=>{let I=f[b],T=pe(ea(I),I),C=Y(z(x[0],I),z(c[0],T)),E=c.map((A,R)=>Y(z(x[1][R],I),z(A,T)));return{output:C,newStates:E}});d=w.output,c=w.newStates}o&&p.push(d)}let g;return o&&(g=Ft(p,1)),[d,g,c]})}var cr=class extends qe{constructor(e){super(e);let t;if(e.cell==null)throw new V("cell property is missing for the constructor of RNN.");if(Array.isArray(e.cell)?t=new Nf({cells:e.cell}):t=e.cell,t.stateSize==null)throw new V("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");this.cell=t,this.returnSequences=e.returnSequences==null?!1:e.returnSequences,this.returnState=e.returnState==null?!1:e.returnState,this.goBackwards=e.goBackwards==null?!1:e.goBackwards,this._stateful=e.stateful==null?!1:e.stateful,this.unroll=e.unroll==null?!1:e.unroll,this.supportsMasking=!0,this.inputSpec=[new zt({ndim:3})],this.stateSpec=null,this.states_=null,this.numConstants=null,this.keptStates=[]}getStates(){if(this.states_==null){let e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;return Ua(0,e).map(t=>null)}else return this.states_}setStates(e){this.states_=e}computeOutputShape(e){Py(e)&&(e=e[0]),e=e;let t=this.cell.stateSize;Array.isArray(t)||(t=[t]);let n=t[0],a;if(this.returnSequences?a=[e[0],e[1],n]:a=[e[0],n],this.returnState){let r=[];for(let s of t)r.push([e[0],s]);return[a].concat(r)}else return a}computeMask(e,t){return P(()=>{Array.isArray(t)&&(t=t[0]);let n=this.returnSequences?t:null;if(this.returnState){let a=this.states.map(r=>null);return[n].concat(a)}else return n})}get states(){if(this.states_==null){let e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,t=[];for(let n=0;ns.shape[s.shape.length-1]),r))throw new V(`An initialState was passed that is not compatible with cell.stateSize. Received stateSpec=${this.stateSpec}; However cell.stateSize is ${this.cell.stateSize}`)}else this.stateSpec=r.map(s=>new zt({shape:[null,s]}));this.stateful&&this.resetStates()}resetStates(e,t=!1){P(()=>{if(!this.stateful)throw new xr("Cannot call resetStates() on an RNN Layer that is not stateful.");let n=this.inputSpec[0].shape[0];if(n==null)throw new V("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(this.states_==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(a=>It([n,a])):this.states_=[It([n,this.cell.stateSize])];else if(e==null)$e(this.states_),this.keptStates!=null&&($e(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(a=>It([n,a])):this.states_[0]=It([n,this.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==this.states_.length)throw new V(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${e.length} state value(s). Input received: ${e}`);t===!0?this.keptStates.push(this.states_.slice()):$e(this.states_);for(let a=0;aZt(a.clone()))})}apply(e,t){let n=t==null?null:t.initialState,a=t==null?null:t.constants;t==null&&(t={});let r=CN(e,n,a,this.numConstants);e=r.inputs,n=r.initialState,a=r.constants;let s=[],i=[];if(n!=null){t.initialState=n,s=s.concat(n),this.stateSpec=[];for(let o of n)this.stateSpec.push(new zt({shape:o.shape}));i=i.concat(this.stateSpec)}if(a!=null&&(t.constants=a,s=s.concat(a),this.numConstants=a.length),s[0]instanceof za){let o=[e].concat(s),l=this.inputSpec.concat(i),u=this.inputSpec;this.inputSpec=l;let p=super.apply(o,t);return this.inputSpec=u,p}else return super.apply(e,t)}call(e,t){return P(()=>{let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;e=Re(e),r==null&&(this.stateful?r=this.states_:r=this.getInitialState(e));let s=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;if(r.length!==s)throw new V(`RNN Layer has ${s} state(s) but was passed ${r.length} initial state(s).`);this.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");let i={training:a},o=_N((c,h)=>{let m=this.cell.call([c].concat(h),i);return[m[0],m.slice(1)]},e,r,this.goBackwards,n,null,this.unroll,this.returnSequences),l=o[0],u=o[1],p=o[2];this.stateful&&this.resetStates(p,a);let d=this.returnSequences?u:l;return this.returnState?[d].concat(p):d})}getInitialState(e){return P(()=>{let t=It(e.shape);return t=fe(t,[1,2]),t=Vc(t),Array.isArray(this.cell.stateSize)?this.cell.stateSize.map(n=>n>1?Ry(t,[1,n]):t):this.cell.stateSize>1?[Ry(t,[1,this.cell.stateSize])]:[t]})}get trainableWeights(){return this.trainable?this.cell.trainableWeights:[]}get nonTrainableWeights(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),this.cell!=null&&this.cell.setFastWeightInitDuringBuild(e)}getConfig(){let e=super.getConfig(),t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};this.numConstants!=null&&(t.numConstants=this.numConstants);let n=this.cell.getConfig();return this.getClassName()===cr.className&&(t.cell={className:this.cell.getClassName(),config:n}),Object.assign({},n,e,t)}static fromConfig(e,t,n={}){let a=t.cell,r=Wa(a,n);return new e(Object.assign(t,{cell:r}))}};cr.className="RNN";ne.registerClass(cr);var Yc=class extends qe{},Sf=class extends Yc{constructor(e){super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=e.units,Jt(this.units,"units"),this.activation=rs(e.activation==null?this.DEFAULT_ACTIVATION:e.activation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=St(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=Tt(e.kernelRegularizer),this.recurrentRegularizer=Tt(e.recurrentRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.kernelConstraint=Kt(e.kernelConstraint),this.recurrentConstraint=Kt(e.recurrentConstraint),this.biasConstraint=Kt(e.biasConstraint),this.dropout=ul([1,ns([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=ul([1,ns([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.dropoutFunc=e.dropoutFunc,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){e=at(e),this.kernel=this.addWeight("kernel",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return P(()=>{if(e=e,e.length!==2)throw new V(`SimpleRNNCell expects 2 input Tensors, got ${e.length}.`);let n=e[1];e=e[0];let a=t.training==null?!1:t.training;0ea(e),rate:this.dropout,training:a,dropoutFunc:this.dropoutFunc})),0ea(n),rate:this.recurrentDropout,training:a,dropoutFunc:this.dropoutFunc}));let r,s=this.dropoutMask,i=this.recurrentDropoutMask;s!=null?r=rr(z(e,s),this.kernel.read()):r=rr(e,this.kernel.read()),this.bias!=null&&(r=qa(r,this.bias.read())),i!=null&&(n=z(n,i));let o=Y(r,rr(n,this.recurrentKernel.read()));return this.activation!=null&&(o=this.activation.apply(o)),[o,o]})}getConfig(){let e=super.getConfig(),t={units:this.units,activation:as(this.activation),useBias:this.useBias,kernelInitializer:Ct(this.kernelInitializer),recurrentInitializer:Ct(this.recurrentInitializer),biasInitializer:Ct(this.biasInitializer),kernelRegularizer:pt(this.kernelRegularizer),recurrentRegularizer:pt(this.recurrentRegularizer),biasRegularizer:pt(this.biasRegularizer),activityRegularizer:pt(this.activityRegularizer),kernelConstraint:qt(this.kernelConstraint),recurrentConstraint:qt(this.recurrentConstraint),biasConstraint:qt(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign({},e,t)}};Sf.className="SimpleRNNCell";ne.registerClass(Sf);var _w=class extends cr{constructor(e){e.cell=new Sf(e),super(e)}call(e,t){return P(()=>{this.cell.dropoutMask!=null&&($e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&($e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}static fromConfig(e,t){return new e(t)}};_w.className="SimpleRNN";ne.registerClass(_w);var Tf=class extends Yc{constructor(e){if(super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",e.resetAfter)throw new V("GRUCell does not support reset_after parameter set to true.");this.units=e.units,Jt(this.units,"units"),this.activation=rs(e.activation===void 0?this.DEFAULT_ACTIVATION:e.activation),this.recurrentActivation=rs(e.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=St(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=Tt(e.kernelRegularizer),this.recurrentRegularizer=Tt(e.recurrentRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.kernelConstraint=Kt(e.kernelConstraint),this.recurrentConstraint=Kt(e.recurrentConstraint),this.biasConstraint=Kt(e.biasConstraint),this.dropout=ul([1,ns([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=ul([1,ns([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.dropoutFunc=e.dropoutFunc,this.implementation=e.implementation,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){e=at(e);let t=e[e.length-1];this.kernel=this.addWeight("kernel",[t,this.units*3],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*3],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units*3],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return P(()=>{if(e=e,e.length!==2)throw new V(`GRUCell expects 2 input Tensors (inputs, h, c), got ${e.length}.`);let n=t.training==null?!1:t.training,a=e[1];e=e[0],0ea(e),rate:this.dropout,training:n,count:3,dropoutFunc:this.dropoutFunc})),0ea(a),rate:this.recurrentDropout,training:n,count:3,dropoutFunc:this.dropoutFunc}));let r=this.dropoutMask,s=this.recurrentDropoutMask,i,o,l;0{this.cell.dropoutMask!=null&&($e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&($e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}static fromConfig(e,t){return t.implmentation===0&&(t.implementation=1),new e(t)}};Ew.className="GRU";ne.registerClass(Ew);var Zc=class extends Yc{constructor(e){super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=e.units,Jt(this.units,"units"),this.activation=rs(e.activation===void 0?this.DEFAULT_ACTIVATION:e.activation),this.recurrentActivation=rs(e.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=St(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.unitForgetBias=e.unitForgetBias,this.kernelRegularizer=Tt(e.kernelRegularizer),this.recurrentRegularizer=Tt(e.recurrentRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.kernelConstraint=Kt(e.kernelConstraint),this.recurrentConstraint=Kt(e.recurrentConstraint),this.biasConstraint=Kt(e.biasConstraint),this.dropout=ul([1,ns([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=ul([1,ns([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.dropoutFunc=e.dropoutFunc,this.implementation=e.implementation,this.stateSize=[this.units,this.units],this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){var t;e=at(e);let n=e[e.length-1];this.kernel=this.addWeight("kernel",[n,this.units*4],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*4],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint);let a;if(this.useBias){if(this.unitForgetBias){let r=this.biasInitializer,s=this.units;a=new(t=class extends $a{apply(i,o){let l=r.apply([s]),u=new hf().apply([s]),p=r.apply([s*2]);return sk(sk(l,u),p)}},t.className="CustomInit",t)}else a=this.biasInitializer;this.bias=this.addWeight("bias",[this.units*4],null,a,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0}call(e,t){return P(()=>{let n=t.training==null?!1:t.training;if(e=e,e.length!==3)throw new V(`LSTMCell expects 3 input Tensors (inputs, h, c), got ${e.length}.`);let a=e[1],r=e[2];e=e[0],0ea(e),rate:this.dropout,training:n,count:4,dropoutFunc:this.dropoutFunc})),0ea(a),rate:this.recurrentDropout,training:n,count:4,dropoutFunc:this.dropoutFunc}));let s=this.dropoutMask,i=this.recurrentDropoutMask,o,l,u,p;0{this.cell.dropoutMask!=null&&($e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&($e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}static fromConfig(e,t){return t.implmentation===0&&(t.implementation=1),new e(t)}};Aw.className="LSTM";ne.registerClass(Aw);var Nf=class extends Yc{constructor(e){super(e),this.cells=e.cells}get stateSize(){let e=[];for(let t of this.cells.slice().reverse())Array.isArray(t.stateSize)?e.push(...t.stateSize):e.push(t.stateSize);return e}call(e,t){return P(()=>{e=e;let n=e.slice(1),a=[];for(let i of this.cells.slice().reverse())Array.isArray(i.stateSize)?a.push(n.splice(0,i.stateSize.length)):a.push(n.splice(0,1));a.reverse();let r=[],s;for(let i=0;i{Xs(`RNNCell_${a}`,()=>{n.build(e),Array.isArray(n.stateSize)?t=n.stateSize[0]:t=n.stateSize,e=[e[0],t]})}),this.built=!0}getConfig(){let e=super.getConfig(),t=a=>({className:a.getClassName(),config:a.getConfig()}),n={cells:this.cells.map(t)};return Object.assign({},e,n)}static fromConfig(e,t,n={}){let a=[];for(let r of t.cells)a.push(Wa(r,n));return new e({cells:a})}get trainableWeights(){if(!this.trainable)return[];let e=[];for(let t of this.cells)e.push(...t.trainableWeights);return e}get nonTrainableWeights(){let e=[];for(let t of this.cells)e.push(...t.nonTrainableWeights);if(!this.trainable){let t=[];for(let n of this.cells)t.push(...n.trainableWeights);return t.concat(e)}return e}getWeights(){let e=[];for(let t of this.cells)e.push(...t.weights);return Oy(e)}setWeights(e){let t=[];for(let n of this.cells){let a=n.weights.length,r=e.splice(a);for(let s=0;ss!=null?s(t(),n):BT(t(),n),o=()=>Gc(i,t,a);return!r||r<=1?Zt(o().clone()):Array(r).fill(void 0).map(o).map(l=>Zt(l.clone()))}var wU=function(e,t){var n={};for(var a in e)Object.prototype.hasOwnProperty.call(e,a)&&t.indexOf(a)<0&&(n[a]=e[a]);if(e!=null&&typeof Object.getOwnPropertySymbols=="function")for(var r=0,a=Object.getOwnPropertySymbols(e);r{if(this.cell.dropoutMask!=null&&($e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&($e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null),t&&t.constants)throw new V("ConvRNN2D cell does not support constants");let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}computeOutputShape(e){let t=this.computeSingleOutputShape(e);return this.returnSequences||(t=[t[0],...t.slice(2)]),this.returnState&&(t=[t,...Array(2).fill([e[0],...t.slice(-3)])]),t}getInitialState(e){return P(()=>{let{stateSize:t}=this.cell,n=e.shape,a=this.computeSingleOutputShape(n),r=[a[0],...a.slice(2)],s=It(r);return Array.isArray(t)?Array(t.length).fill(s):[s]})}resetStates(e,t=!1){P(()=>{if(!this.stateful)throw new xr("Cannot call resetStates() on an RNN Layer that is not stateful.");let n=this.inputSpec[0].shape,a=this.computeSingleOutputShape(n),r=[a[0],...a.slice(2)];if(n[0]==null)throw new V("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(this.getStates()==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>It(r)):this.states_=[It(r)];else if(e==null)$e(this.states_),this.keptStates!=null&&($e(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>It(r)):this.states_[0]=It(r);else{if(Array.isArray(e)||(e=[e]),e.length!==this.states_.length)throw new V(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${e.length} state value(s). Input received: ${e}`);t?this.keptStates.push(this.states_.slice()):$e(this.states_);for(let s=0;sZt(s.clone()))})}computeSingleOutputShape(e){let{dataFormat:t,filters:n,kernelSize:a,padding:r,strides:s,dilationRate:i}=this.cell,o=t==="channelsFirst",l=e[o?3:2],u=e[o?4:3],p=Va(l,a[0],r,s[0],i[0]),d=Va(u,a[1],r,s[1],i[1]);return[...e.slice(0,2),...o?[n,p,d]:[p,d,n]]}};EN.className="ConvRNN2D";var Cf=class extends Zc{constructor(e){let{filters:t,kernelSize:n,strides:a,padding:r,dataFormat:s,dilationRate:i}=e;super(Object.assign({},e,{units:t})),this.filters=t,Jt(this.filters,"filters"),this.kernelSize=Qo(n,2,"kernelSize"),this.kernelSize.forEach(o=>Jt(o,"kernelSize")),this.strides=Qo(a||1,2,"strides"),this.strides.forEach(o=>Jt(o,"strides")),this.padding=r||"valid",ba(this.padding),this.dataFormat=s||"channelsLast",Rt(this.dataFormat),this.dilationRate=Qo(i||1,2,"dilationRate"),this.dilationRate.forEach(o=>Jt(o,"dilationRate"))}build(e){var t;e=at(e);let n=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[n]==null)throw new V(`The channel dimension of the input should be defined. Found ${e[n]}`);let a=e[n],r=4,s=this.kernelSize.concat([a,this.filters*r]);this.kernel=this.addWeight("kernel",s,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);let i=this.kernelSize.concat([this.filters,this.filters*r]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",i,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){let o;if(this.unitForgetBias){let l=this.biasInitializer,u=this.filters;o=new(t=class extends $a{apply(p,d){let c=l.apply([u]),h=Yn([u]),m=l.apply([u*2]);return jv([c,h,m])}},t.className="CustomInit",t)}else o=this.biasInitializer;this.bias=this.addWeight("bias",[this.filters*r],null,o,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0}call(e,t){return P(()=>{if(e.length!==3)throw new V(`ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got ${e.length}.`);let n=t.training||!1,a=e[0],r=e[1],s=e[2],i=4;0ea(a),rate:this.dropout,training:n,count:i,dropoutFunc:this.dropoutFunc}));let o=this.dropoutMask,l=(Z,Q,ee)=>!Q||!Q[ee]?Z:z(Q[ee],Z),u=l(a,o,0),p=l(a,o,1),d=l(a,o,2),c=l(a,o,3);0ea(r),rate:this.recurrentDropout,training:n,count:i,dropoutFunc:this.dropoutFunc}));let h=this.recurrentDropoutMask,m=l(r,h,0),f=l(r,h,1),g=l(r,h,2),b=l(r,h,3),y=3,[x,w,I,T]=Ln(this.kernel.read(),i,y),[C,E,A,R]=this.useBias?Ln(this.bias.read(),i):[null,null,null,null];u=this.inputConv(u,x,C,this.padding),p=this.inputConv(p,w,E,this.padding),d=this.inputConv(d,I,A,this.padding),c=this.inputConv(c,T,R,this.padding);let[F,S,M,W]=Ln(this.recurrentKernel.read(),i,y);m=this.recurrentConv(m,F),f=this.recurrentConv(f,S),g=this.recurrentConv(g,M),b=this.recurrentConv(b,W);let U=this.recurrentActivation.apply(Y(u,m)),G=this.recurrentActivation.apply(Y(p,f)),q=Y(z(G,s),z(U,this.activation.apply(Y(d,g)))),K=z(this.recurrentActivation.apply(Y(c,b)),this.activation.apply(q));return[K,K,q]})}getConfig(){let e=super.getConfig(),{units:t}=e,n=wU(e,["units"]),a={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign({},n,a)}inputConv(e,t,n,a){let r=$t(e,t,this.strides,a||"valid",this.dataFormat==="channelsFirst"?"NCHW":"NHWC",this.dilationRate);return n?qa(r,n,this.dataFormat):r}recurrentConv(e,t){return $t(e,t,1,"same",this.dataFormat==="channelsFirst"?"NCHW":"NHWC")}};Cf.className="ConvLSTM2DCell";ne.registerClass(Cf);var $w=class extends EN{constructor(e){let t=new Cf(e);super(Object.assign({},e,{cell:t}))}static fromConfig(e,t){return new e(t)}};$w.className="ConvLSTM2D";ne.registerClass($w);var _f=class extends qe{constructor(e){super(e),this.rate=Math.max(Math.min(e.rate,1),0),this.noiseShape=e.noiseShape,this.seed=e.seed,this.supportsMasking=!0}getNoiseShape(e){if(this.noiseShape==null)return this.noiseShape;let t=e.shape,n=[];for(let a=0;a{this.invokeCallHook(e,t);let n=Re(e);if(0BT(n,this.rate,r,this.seed),()=>n,a)}return e})}getConfig(){let e={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},t=super.getConfig();return Object.assign(e,t),e}dispose(){return super.dispose()}};_f.className="Dropout";ne.registerClass(_f);var Fw=class extends _f{constructor(e){super(e),this.inputSpec=[{ndim:3}]}getNoiseShape(e){let t=e.shape;return[t[0],1,t[2]]}};Fw.className="SpatialDropout1D";ne.registerClass(Fw);var Dw=class extends qe{constructor(e){if(super(e),this.activation=null,this.useBias=!0,this.kernel=null,this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",e.batchInputShape==null&&e.inputShape==null&&e.inputDim!=null){let t=null;e.batchSize!=null&&(t=e.batchSize),this.batchInputShape=[t,e.inputDim]}this.units=e.units,Jt(this.units,"units"),this.activation=rs(e.activation),e.useBias!=null&&(this.useBias=e.useBias),this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelConstraint=Kt(e.kernelConstraint),this.biasConstraint=Kt(e.biasConstraint),this.kernelRegularizer=Tt(e.kernelRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.activityRegularizer=Tt(e.activityRegularizer),this.supportsMasking=!0,this.inputSpec=[{minNDim:2}]}build(e){e=at(e);let t=e[e.length-1];this.kernel==null&&(this.kernel=this.addWeight("kernel",[t,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:{[-1]:t}}],this.built=!0}computeOutputShape(e){e=at(e);let t=e.slice();return t[t.length-1]=this.units,t}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Re(e),a=DT(this.activation.getClassName()),r;return a!=null?r=rr(n,this.kernel.read(),a,this.bias?this.bias.read():null):(r=rr(n,this.kernel.read()),this.bias!=null&&(r=qa(r,this.bias.read())),this.activation!=null&&(r=this.activation.apply(r))),r})}getConfig(){let e={units:this.units,activation:as(this.activation),useBias:this.useBias,kernelInitializer:Ct(this.kernelInitializer),biasInitializer:Ct(this.biasInitializer),kernelRegularizer:pt(this.kernelRegularizer),biasRegularizer:pt(this.biasRegularizer),activityRegularizer:pt(this.activityRegularizer),kernelConstraint:qt(this.kernelConstraint),biasConstraint:qt(this.biasConstraint)},t=super.getConfig();return Object.assign(e,t),e}};Dw.className="Dense";ne.registerClass(Dw);var Rw=class extends qe{constructor(e){e=e||{},super(e),this.inputSpec=[{minNDim:3}],this.dataFormat=e.dataFormat}computeOutputShape(e){e=at(e);for(let t of e.slice(1))if(t==null)throw new V(`The shape of the input to "Flatten" is not fully defined (got ${e.slice(1)}). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.`);return[e[0],Jr(e,1)]}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Re(e);if(this.dataFormat==="channelsFirst"&&n.rank>1){let a=[0];for(let r=2;r{this.invokeCallHook(e,t);let n=Re(e);return this.activation.apply(n)})}getConfig(){let e={activation:as(this.activation)},t=super.getConfig();return Object.assign(e,t),e}};Mw.className="Activation";ne.registerClass(Mw);var Pw=class extends qe{constructor(e){super(e),this.n=e.n,this.inputSpec=[{ndim:2}]}computeOutputShape(e){return[e[0],this.n,e[1]]}call(e,t){return P(()=>(e=Re(e),D4(e,this.n)))}getConfig(){let e={n:this.n},t=super.getConfig();return Object.assign(e,t),e}};Pw.className="RepeatVector";ne.registerClass(Pw);var Ow=class extends qe{constructor(e){super(e),this.targetShape=e.targetShape;for(let t=0;t{this.invokeCallHook(e,t);let n=Re(e),a=n.shape,r=a.slice(0,1).concat(this.fixUnknownDimension(a.slice(1),this.targetShape));return B(n,r)})}getConfig(){let e={targetShape:this.targetShape},t=super.getConfig();return Object.assign(e,t),e}};Ow.className="Reshape";ne.registerClass(Ow);var Lw=class extends qe{constructor(e){if(super(e),e.dims==null)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(e.dims))throw new Error(`Permute constructor requires \`dims\` to be an Array, but received ${e.dims} instead.`);let t=Ua(1,e.dims.length+1);if(!v.arraysEqual(e.dims.slice().sort(),t))throw new Error("Invalid permutation `dims`: "+JSON.stringify(e.dims)+" `dims` must contain consecutive integers starting from 1.");this.dims=e.dims,this.dimsIncludingBatch=[0].concat(this.dims),this.inputSpec=[new zt({ndim:this.dims.length+1})]}computeOutputShape(e){e=at(e);let t=e.slice();return this.dims.forEach((n,a)=>{t[a+1]=e[n]}),t}call(e,t){return Ce(Re(e),this.dimsIncludingBatch)}getConfig(){let e={dims:this.dims},t=super.getConfig();return Object.assign(e,t),e}};Lw.className="Permute";ne.registerClass(Lw);var zw=class extends qe{constructor(e){super(e==null?{}:e),this.supportsMasking=!0,e!=null?this.maskValue=e.maskValue==null?0:e.maskValue:this.maskValue=0}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={maskValue:this.maskValue};return Object.assign(t,e),t}computeMask(e,t){let n=Re(e),a=-1;return Gp(ii(n,this.maskValue),a)}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Re(e),a=-1,r=!0,s=Gp(ii(n,this.maskValue),a,r);return z(n,oe(s,n.dtype))})}};zw.className="Masking";ne.registerClass(zw);var Bw=class extends qe{constructor(e){if(super(e),this.embeddings=null,this.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",e.batchInputShape==null&&e.inputShape==null){let t=null;e.batchSize!=null&&(t=e.batchSize),e.inputLength==null?this.batchInputShape=[t,null]:this.batchInputShape=[t].concat(bt(e.inputLength))}this.inputDim=e.inputDim,Jt(this.inputDim,"inputDim"),this.outputDim=e.outputDim,Jt(this.outputDim,"outputDim"),this.embeddingsInitializer=St(e.embeddingsInitializer||this.DEFAULT_EMBEDDINGS_INITIALIZER),this.embeddingsRegularizer=Tt(e.embeddingsRegularizer),this.activityRegularizer=Tt(e.activityRegularizer),this.embeddingsConstraint=Kt(e.embeddingsConstraint),this.maskZero=e.maskZero,this.supportsMasking=e.maskZero,this.inputLength=e.inputLength}build(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0}warnOnIncompatibleInputShape(e){}computeMask(e,t){return P(()=>this.maskZero?(e=Re(e),ii(e,je(e))):null)}computeOutputShape(e){if(e=at(e),this.inputLength==null)return[...e,this.outputDim];let t=bt(this.inputLength);if(t.length!==e.length-1)throw new V(`"inputLength" is ${this.inputLength}, but received input shape has shape ${e}`);{let n=0;for(let a=0;a{this.invokeCallHook(e,t);let n=Re(e);n.dtype!=="int32"&&(n=Wc(n,"int32"));let a=zT(this.embeddings.read(),B(n,[n.size]));return B(a,at(this.computeOutputShape(n.shape)))})}getConfig(){let e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:Ct(this.embeddingsInitializer),embeddingsRegularizer:pt(this.embeddingsRegularizer),activityRegularizer:pt(this.activityRegularizer),embeddingsConstraint:qt(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},t=super.getConfig();return Object.assign(e,t),e}};Bw.className="Embedding";ne.registerClass(Bw);var yo=class extends qe{constructor(e){super(e||{}),this.supportsMasking=!0}mergeFunction(e){throw new De}computeElementwiseOpOutputShape(e,t){if(e==null||t==null)return null;if(e.length1)throw new V(`Can not merge tensors with different batch sizes. Got tensors with shapes: ${JSON.stringify(e)}.`);let n=e[0]==null?null:e[0].slice(1);for(let r=1;rr.length);e.indexOf(null)===-1&&Zr(a).length===1?this.reshapeRequired=!1:this.reshapeRequired=!0}call(e,t){return P(()=>{if(e=e,this.reshapeRequired){let n=[],a=e.map(r=>r.rank);if(a.indexOf(null)===-1){let r=ns(a);for(let s of e){let i=s.rank;for(let o=0;o1){let u=Ua(1,l).concat([0]);n.push(Ce(o,u)),r=!0}else n.push(o)}let s=this.mergeFunction(n),i=s.rank;if(r){if(i==null){let o=s.shape,l=o.length,u=o[l-1],p=[u].concat(o.slice(0,o.length-1));s=B(Ce(B(s,[-1,u]),[1,0]),p)}else if(i>1){let o=[i-1].concat(Ua(0,i-1));s=Ce(s,o)}}return s}}else return this.mergeFunction(e)})}computeOutputShape(e){e=e;let t;e[0]==null?t=null:t=e[0].slice(1);for(let a=1;a{if(t==null)return null;if(!Array.isArray(t))throw new V("`mask` should be an Array");if(!Array.isArray(e))throw new V("`inputs` should be an Array");if(t.length!==e.length)throw new V(`The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths (${e.length} vs ${t.length})`);if(t.every(a=>a==null))return null;t=t.map(a=>a==null?a:hn(a,0));let n=t[0];for(let a=1;a{let t=e[0].clone();for(let n=1;n{let t=e[0].clone();for(let n=1;n{let t=e[0].clone();for(let n=1;n{let t=e[0];for(let n=1;n{let t=e[0];for(let n=1;n1)throw new V("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))}mergeFunction(e){return P(()=>jv(e,this.axis))}computeOutputShape(e){if(!(Array.isArray(e)&&Array.isArray(e[0])))throw new V("A `Concatenate` layer should be called on a list of inputs.");let t=e,n=t[0].slice(),a=this.axis<0?n.length+this.axis:this.axis;for(let r of t.slice(1)){if(n[a]==null||r[a]==null){n[a]=null;break}n[a]+=r[a]}return n}computeMask(e,t){if(t==null)return null;if(!Array.isArray(t))throw new V("`mask` should be an array for Concatenate");if(!Array.isArray(e))throw new V("`inputs` should be an array for Concatenate");if(t.length!==e.length)throw new V(`Mismatch in the length of mask (${t.length}) and the legnth of inputs (${e.length})`);return P(()=>{let n=!0;if(t.forEach(s=>{if(s!=null){n=!1;return}}),n)return null;let a=[];for(let s=0;s3||t.shape.length>3)throw new De("batchDot is not implemented for tensors of 4D or higher rank yet");if(v.assert(e.shape.length>=2,()=>`batchDot requires the rank of x to be >= 2, but got ${e.shape.length}`),v.assert(e.shape.length>=2,()=>`batchDot requires the rank of y to be >= 2, but got ${t.shape.length}`),typeof n=="number"&&(n=[n,n]),e.dtype==="complex64"||t.dtype==="complex64")throw new De("batchDot is not implemented for complex64-type Tensors yet.");let a=e.shape.length,r=t.shape.length;n==null&&(n=[a-1,r-2]);let s=n;return P(()=>{let i;if(a>r){i=a-r;let l=[];for(let u=0;ua){i=r-a;let l=[];for(let u=0;u0){let l;a>r?l=a+r-3:l=a-1;let u=[];for(let p=l;p"A `Dot` layer should be called on a list of exactly 2 inputs.");let t=e[0],n=e[1];if(t.length>3||n.length>3)throw new De("Dot layer does not support tensors of 4D or higher rank yet.");let a=this.interpretAxes(t,n);if(t[a[0]]!==n[a[1]])throw new V(`Dimension incompatibility: ${t[a[0]]} !== ${n[a[1]]}`)}mergeFunction(e){if(e.length!==2)throw new V(`A \`Dot\` layer must be called on exactly 2 inputs, but received ${e.length} input(s).`);let t=e[0],n=e[1],a;return Array.isArray(this.axes)?a=this.axes.map((r,s)=>kp(r,e[s].shape.length)):a=[kp(this.axes,t.shape.length),kp(this.axes,n.shape.length)],this.normalize&&(t=_h(t,a[0]),n=_h(n,a[1])),kU(t,n,a)}interpretAxes(e,t){let n;return Array.isArray(this.axes)?n=this.axes:n=[kp(this.axes,e.length),kp(this.axes,t.length)],n}computeOutputShape(e){v.assert(Array.isArray(e)&&e.length===2&&Array.isArray(e[0])&&Array.isArray(e[1]),()=>"A `Dot` layer should be called on a list of exactly 2 inputs.");let t=e[0].slice(),n=e[1].slice();if(t.length>3||n.length>3)throw new De("Dot layer does not support tensors of 4D or higher rank yet.");let a=this.interpretAxes(t,n);t.splice(a[0],1),n.splice(a[1],1),n.splice(0,1);let r=t.concat(n);return r.length===1&&r.push(1),r}computeMask(e,t){return null}getConfig(){let e={axes:this.axes,normalize:this.normalize},t=super.getConfig();return Object.assign(e,t),e}};qw.className="Dot";ne.registerClass(qw);var Kw=class extends qe{constructor(e){super(e),this.supportsMasking=!0,this.stddev=e.stddev}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={stddev:this.stddev};return Object.assign(t,e),t}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Re(e);return Gc(()=>Y(df(n.shape,0,this.stddev),n),()=>n,t.training||!1)})}};Kw.className="GaussianNoise";ne.registerClass(Kw);var Xw=class extends qe{constructor(e){super(e),this.supportsMasking=!0,this.rate=e.rate}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={rate:this.rate};return Object.assign(t,e),t}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Re(e);return this.rate>0&&this.rate<1?Gc(()=>{let a=Math.sqrt(this.rate/(1-this.rate));return z(n,df(n.shape,1,a))},()=>n,t.training||!1):n})}};Xw.className="GaussianDropout";ne.registerClass(Xw);var Yw=class extends qe{constructor(e){super(e),this.supportsMasking=!0,this.rate=e.rate,this.noiseShape=e.noiseShape}_getNoiseShape(e){return this.noiseShape||Re(e).shape}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={rate:this.rate};return Object.assign(t,e),t}call(e,t){return P(()=>{if(this.rate<1&&this.rate>0){let n=this._getNoiseShape(e);return Gc(()=>{let a=Re(e),r=1.6732632423543772,s=1.0507009873554805,i=-r*s,o=ys(Eu(n),this.rate);o=Wc(o,"float32");let l=((1-this.rate)*(1+this.rate*i**2))**-.5,u=-l*i*this.rate,p=Y(z(a,o),z(Y(o,-1),i));return Y(z(p,l),u)},()=>Re(e),t.training||!1)}return e})}};Yw.className="AlphaDropout";ne.registerClass(Yw);function Xp(e,t,n,a,r,s=.001){let i;if(e.rank===2)i=Xx(e,t,n,a,r,s);else if(e.rank===3)i=Yx(e,t,n,a,r,s);else if(e.rank===4)i=Zx(e,t,n,a,r,s);else throw new De(`batchNormalization is not implemented for array of rank ${e.rank} yet`);return i}function IU(e,t,n,a,r=.001){return P(()=>{let s=Dc(e,a),i=s.mean,o=s.variance;return[Xp(e,i,o,n,t,r),i,o]})}function SU(e,t,n,a,r=.001){return P(()=>{let s=Dc(e,a),i=s.mean,o=s.variance,l=[];for(let h of Ua(0,e.rank))a.indexOf(h)!==-1?l.push(1):l.push(e.shape[h]);let u=B(i,l),p=B(o,l),d=t==null?null:B(t,l),c=n==null?null:B(n,l);return[Xp(e,u,p,c,d,r),i,o]})}function TU(e,t,n,a,r=.001){return v.arraysEqual(a.slice().sort(),Ua(0,e.rank-1))?IU(e,t,n,a,r):SU(e,t,n,a,r)}var Zw=class extends qe{constructor(e){e==null&&(e={}),super(e),this.supportsMasking=!0,this.axis=e.axis==null?-1:e.axis,this.momentum=e.momentum==null?.99:e.momentum,this.epsilon=e.epsilon==null?.001:e.epsilon,this.center=e.center==null?!0:e.center,this.scale=e.scale==null?!0:e.scale,this.betaInitializer=St(e.betaInitializer||"zeros"),this.gammaInitializer=St(e.gammaInitializer||"ones"),this.movingMeanInitializer=St(e.movingMeanInitializer||"zeros"),this.movingVarianceInitializer=St(e.movingVarianceInitializer||"ones"),this.betaConstraint=Kt(e.betaConstraint),this.gammaConstraint=Kt(e.gammaConstraint),this.betaRegularizer=Tt(e.betaRegularizer),this.gammaRegularizer=Tt(e.gammaRegularizer)}build(e){e=at(e);let t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(n==null)throw new V(`Axis ${t} of input tensor should have a defined dimension but the layer received an input with shape ${JSON.stringify(e)}.`);this.inputSpec=[new zt({ndim:e.length,axes:{[t]:n}})];let a=[n];this.scale&&(this.gamma=this.addWeight("gamma",a,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",a,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",a,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",a,null,this.movingVarianceInitializer,null,!1),this.built=!0}call(e,t){return P(()=>{let n=t.training==null?!1:t.training,a=Re(e),r=a.shape,s=r.length,i=Ua(0,s),o=this.axis>=0?this.axis:this.axis+s;i.splice(o,1);let l=oi(1,s);l[o]=r[o];let u=i.slice();u.sort();let p=!v.arraysEqual(u,Ua(0,s).slice(0,s-1)),d=()=>{if(p){let g=B(this.movingMean.read(),l),b=B(this.movingVariance.read(),l),y=this.center?B(this.beta.read(),l):null,x=this.scale?B(this.gamma.read(),l):null;return Xp(a,g,b,y,x,this.epsilon)}else return Xp(a,this.movingMean.read(),this.movingVariance.read(),this.beta==null?null:this.beta.read(),this.gamma==null?null:this.gamma.read(),this.epsilon)};if(!n)return d();let[c,h,m]=TU(a,this.gamma.read(),this.beta.read(),i,this.epsilon),f=(g,b,y)=>{P(()=>{let x=1-y,w=g.read(),I=z(pe(w,b),x);g.write(pe(w,I))})};return f(this.movingMean,h,this.momentum),f(this.movingVariance,m,this.momentum),c})}getConfig(){let e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:Ct(this.betaInitializer),gammaInitializer:Ct(this.gammaInitializer),movingMeanInitializer:Ct(this.movingMeanInitializer),movingVarianceInitializer:Ct(this.movingVarianceInitializer),betaRegularizer:pt(this.betaRegularizer),gammaRegularizer:pt(this.gammaRegularizer),betaConstraint:qt(this.betaConstraint),gammaConstraint:qt(this.gammaConstraint)},t=super.getConfig();return Object.assign(e,t),e}};Zw.className="BatchNormalization";ne.registerClass(Zw);var Jw=class extends qe{constructor(e){if(e==null&&(e={}),super(e),this.axis=e.axis==null?-1:e.axis,typeof this.axis=="number"){if(!Number.isInteger(this.axis))throw new Error(`Expected axis to be an integer, but received ${this.axis}`)}else if(Array.isArray(this.axis)){for(let t of this.axis)if(!Number.isInteger(t))throw new Error(`Expected axis to be an array of integers, but received ${JSON.stringify(this.axis)}`)}else throw new Error(`Expected axis to be an integer or an array of integers, but received ${JSON.stringify(this.axis)}`);this.epsilon=e.epsilon==null?.001:e.epsilon,this.center=e.center==null?!0:e.center,this.scale=e.scale==null?!0:e.scale,this.betaInitializer=St(e.betaInitializer||"zeros"),this.gammaInitializer=St(e.gammaInitializer||"ones"),this.betaRegularizer=Tt(e.betaRegularizer),this.gammaRegularizer=Tt(e.gammaRegularizer),this.supportsMasking=!0}build(e){e=at(e);let t=e.length;typeof this.axis=="number"&&(this.axis=[this.axis]);for(let r=0;r=t)throw new Error(`Invalid axis: ${r}`);if(this.axis.length!==Zr(this.axis).length)throw new Error(`Found duplicate axes in: ${this.axis}`);let n=this.axis.map(r=>e[r]),a=!0;this.scale?this.gamma=this.addWeight("gamma",n,"float32",this.gammaInitializer,this.gammaRegularizer,a):this.gamma=null,this.center?this.beta=this.addWeight("beta",n,"float32",this.betaInitializer,this.betaRegularizer,a):this.beta=null,this.built=!0}call(e,t){let n=Re(e),a=n.shape,r=a.length;return P(()=>{let{mean:s,variance:i}=Dc(n,this.axis,!0),o=oi(1,r);for(let h of this.axis)o[h]=a[h];let l=h=>h!=null&&h.shape.length!==r?B(h,o):h,u=this.scale?l(this.gamma.read()):null,p=this.center?l(this.beta.read()):null,d=[],c=[];for(let h=0;h{if(e.rank!==4)throw new V(`temporalPadding expects input tensor to be 4-D, but received a ${e.rank}-D tensor.`);if(t==null&&(t=[[1,1],[1,1]]),t.length!==2||t[0].length!==2||t[1].length!==2)throw new V("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(n==null&&(n=Ga()),n!=="channelsLast"&&n!=="channelsFirst")throw new V(`Unknown data format: ${n}. Supported data formats are 'channelsLast' and 'channelsFirst.`);let a;return n==="channelsFirst"?a=[[0,0],[0,0],t[0],t[1]]:a=[[0,0],t[0],t[1],[0,0]],ga(e,a)})}var Qw=class extends qe{constructor(e){if(e==null&&(e={}),super(e),this.dataFormat=e.dataFormat==null?Ga():e.dataFormat,e.padding==null)this.padding=[[1,1],[1,1]];else if(typeof e.padding=="number")this.padding=[[e.padding,e.padding],[e.padding,e.padding]];else{if(e.padding=e.padding,e.padding.length!==2)throw new V(`ZeroPadding2D expects padding to be a length-2 array, but received a length-${e.padding.length} array.`);let t,n;if(typeof e.padding[0]=="number")t=[e.padding[0],e.padding[0]],n=[e.padding[1],e.padding[1]];else{if(e.padding=e.padding,e.padding[0].length!==2)throw new V(`ZeroPadding2D expects height padding to be a length-2 array, but received a length-${e.padding[0].length} array.`);if(t=e.padding[0],e.padding[1].length!==2)throw new V(`ZeroPadding2D expects width padding to be a length-2 array, but received a length-${e.padding[1].length} array.`);n=e.padding[1]}this.padding=[t,n]}this.inputSpec=[new zt({ndim:4})]}computeOutputShape(e){e=at(e);let t,n;return this.dataFormat==="channelsFirst"?(e[2]!=null&&e[2]>=0?t=e[2]+this.padding[0][0]+this.padding[0][1]:t=null,e[3]!=null&&e[3]>=0?n=e[3]+this.padding[1][0]+this.padding[1][1]:n=null,[e[0],e[1],t,n]):(e[1]!=null&&e[1]>=0?t=e[1]+this.padding[0][0]+this.padding[0][1]:t=null,e[2]!=null&&e[2]>=0?n=e[2]+this.padding[1][0]+this.padding[1][1]:n=null,[e[0],t,n,e[3]])}call(e,t){return P(()=>NU(Re(e),this.padding,this.dataFormat))}getConfig(){let e={padding:this.padding,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}};Qw.className="ZeroPadding2D";ne.registerClass(Qw);function Ef(e,t,n,a,r,s){return P(()=>{Rt(r),MT(s),ba(a),n==null&&(n=[1,1]),a==null&&(a="valid"),r==null&&(r=Ga()),s==null&&(s="max"),e=vw(e,r);let i,o=a==="same"?"same":"valid";return s==="max"?i=Dt(e,t,n,o):i=fa(e,t,n,o),r==="channelsFirst"&&(i=Ce(i,[0,3,1,2])),i})}function AN(e,t,n,a,r,s){return P(()=>{Rt(r),MT(s),ba(a),n==null&&(n=[1,1,1]),a==null&&(a="valid"),r==null&&(r=Ga()),s==null&&(s="max"),e=TN(e,r);let i,o=a==="same"?"same":"valid";return s==="max"?i=kv(e,t,n,o):i=Kx(e,t,n,o),r==="channelsFirst"&&(i=Ce(i,[0,4,1,2,3])),i})}var $N=class extends qe{constructor(e){if(e.poolSize==null&&(e.poolSize=2),super(e),typeof e.poolSize=="number")this.poolSize=[e.poolSize];else if(Array.isArray(e.poolSize)&&e.poolSize.length===1&&typeof e.poolSize[0]=="number")this.poolSize=e.poolSize;else throw new V(`poolSize for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(e.poolSize)}`);if(Jt(this.poolSize,"poolSize"),e.strides==null)this.strides=this.poolSize;else if(typeof e.strides=="number")this.strides=[e.strides];else if(Array.isArray(e.strides)&&e.strides.length===1&&typeof e.strides[0]=="number")this.strides=e.strides;else throw new V(`strides for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(e.strides)}`);Jt(this.strides,"strides"),this.padding=e.padding==null?"valid":e.padding,ba(this.padding),this.inputSpec=[new zt({ndim:3})]}computeOutputShape(e){e=at(e);let t=Va(e[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]}call(e,t){return P(()=>{this.invokeCallHook(e,t),e=Vc(Re(e),2);let n=this.poolingFunction(Re(e),[this.poolSize[0],1],[this.strides[0],1],this.padding,"channelsLast");return ws(n,[2])})}getConfig(){let e={poolSize:this.poolSize,padding:this.padding,strides:this.strides},t=super.getConfig();return Object.assign(e,t),e}},e0=class extends $N{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Rt(r),ba(a),Ef(e,t,n,a,r,"max")}};e0.className="MaxPooling1D";ne.registerClass(e0);var t0=class extends $N{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Rt(r),ba(a),Ef(e,t,n,a,r,"avg")}};t0.className="AveragePooling1D";ne.registerClass(t0);var FN=class extends qe{constructor(e){if(e.poolSize==null&&(e.poolSize=[2,2]),super(e),this.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize],e.strides==null)this.strides=this.poolSize;else if(Array.isArray(e.strides)){if(e.strides.length!==2)throw new V(`If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length ${e.strides.length}.`);this.strides=e.strides}else this.strides=[e.strides,e.strides];Jt(this.poolSize,"poolSize"),Jt(this.strides,"strides"),this.padding=e.padding==null?"valid":e.padding,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Rt(this.dataFormat),ba(this.padding),this.inputSpec=[new zt({ndim:4})]}computeOutputShape(e){e=at(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2];return t=Va(t,this.poolSize[0],this.padding,this.strides[0]),n=Va(n,this.poolSize[1],this.padding,this.strides[1]),this.dataFormat==="channelsFirst"?[e[0],e[1],t,n]:[e[0],t,n,e[3]]}call(e,t){return P(()=>(this.invokeCallHook(e,t),this.poolingFunction(Re(e),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}},n0=class extends FN{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Rt(r),ba(a),Ef(e,t,n,a,r,"max")}};n0.className="MaxPooling2D";ne.registerClass(n0);var a0=class extends FN{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Rt(r),ba(a),Ef(e,t,n,a,r,"avg")}};a0.className="AveragePooling2D";ne.registerClass(a0);var DN=class extends qe{constructor(e){if(e.poolSize==null&&(e.poolSize=[2,2,2]),super(e),this.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize,e.poolSize],e.strides==null)this.strides=this.poolSize;else if(Array.isArray(e.strides)){if(e.strides.length!==3)throw new V(`If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length ${e.strides.length}.`);this.strides=e.strides}else this.strides=[e.strides,e.strides,e.strides];Jt(this.poolSize,"poolSize"),Jt(this.strides,"strides"),this.padding=e.padding==null?"valid":e.padding,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Rt(this.dataFormat),ba(this.padding),this.inputSpec=[new zt({ndim:5})]}computeOutputShape(e){e=at(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2],a=this.dataFormat==="channelsFirst"?e[4]:e[3];return t=Va(t,this.poolSize[0],this.padding,this.strides[0]),n=Va(n,this.poolSize[1],this.padding,this.strides[1]),a=Va(a,this.poolSize[2],this.padding,this.strides[2]),this.dataFormat==="channelsFirst"?[e[0],e[1],t,n,a]:[e[0],t,n,a,e[4]]}call(e,t){return P(()=>(this.invokeCallHook(e,t),this.poolingFunction(Re(e),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}},r0=class extends DN{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Rt(r),ba(a),AN(e,t,n,a,r,"max")}};r0.className="MaxPooling3D";ne.registerClass(r0);var s0=class extends DN{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Rt(r),ba(a),AN(e,t,n,a,r,"avg")}};s0.className="AveragePooling3D";ne.registerClass(s0);var RN=class extends qe{constructor(e){super(e),this.inputSpec=[new zt({ndim:3})]}computeOutputShape(e){return[e[0],e[2]]}call(e,t){throw new De}},i0=class extends RN{constructor(e){super(e||{})}call(e,t){return P(()=>{let n=Re(e);return Nt(n,1)})}};i0.className="GlobalAveragePooling1D";ne.registerClass(i0);var o0=class extends RN{constructor(e){super(e||{})}call(e,t){return P(()=>{let n=Re(e);return Na(n,1)})}};o0.className="GlobalMaxPooling1D";ne.registerClass(o0);var MN=class extends qe{constructor(e){super(e),this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Rt(this.dataFormat),this.inputSpec=[new zt({ndim:4})]}computeOutputShape(e){return e=e,this.dataFormat==="channelsLast"?[e[0],e[3]]:[e[0],e[1]]}call(e,t){throw new De}getConfig(){let e={dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}},l0=class extends MN{call(e,t){return P(()=>{let n=Re(e);return this.dataFormat==="channelsLast"?Nt(n,[1,2]):Nt(n,[2,3])})}};l0.className="GlobalAveragePooling2D";ne.registerClass(l0);var u0=class extends MN{call(e,t){return P(()=>{let n=Re(e);return this.dataFormat==="channelsLast"?Na(n,[1,2]):Na(n,[2,3])})}};u0.className="GlobalMaxPooling2D";ne.registerClass(u0);var PN=class extends qe{constructor(e){super(e),this.layer=e.layer}build(e){this.built=!0}get trainable(){return this.layer!=null?this.layer.trainable:!1}set trainable(e){this.layer!=null&&(this.layer.trainable=e)}get trainableWeights(){return this.layer.trainableWeights}get nonTrainableWeights(){return this.layer.nonTrainableWeights}get updates(){return this.layer._updates}get losses(){return this.layer.losses}getWeights(){return this.layer.getWeights()}setWeights(e){this.layer.setWeights(e)}getConfig(){let e={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},t=super.getConfig();return Object.assign(e,t),e}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),this.layer!=null&&this.layer.setFastWeightInitDuringBuild(e)}static fromConfig(e,t,n={}){let a=t.layer,r=Wa(a,n);delete t.layer;let s={layer:r};return Object.assign(s,t),new e(s)}},p0=class extends PN{constructor(e){super(e),this.supportsMasking=!0}build(e){if(e=at(e),e.length<3)throw new V(`TimeDistributed layer expects an input shape >= 3D, but received input shape ${JSON.stringify(e)}`);this.inputSpec=[{shape:e}];let t=[e[0]].concat(e.slice(2));this.layer.built||(this.layer.build(t),this.layer.built=!0),super.build(e)}computeOutputShape(e){e=at(e);let t=[e[0]].concat(e.slice(2)),n=this.layer.computeOutputShape(t),a=e[1];return[n[0],a].concat(n.slice(1))}call(e,t){return P(()=>(e=Re(e),_N((n,a)=>[Re(this.layer.call(n,t)),[]],e,[],!1,null,null,!1,!0)[1]))}};p0.className="TimeDistributed";ne.registerClass(p0);function CU(e){go(_4,"BidirectionalMergeMode",e)}var _U="concat",c0=class extends PN{constructor(e){super(e);let t=e.layer.getConfig(),n={};n.className=e.layer.getClassName(),n.config=t,this.forwardLayer=Wa(n),t.goBackwards=t.goBackwards!==!0;let a={};if(a.className=e.layer.getClassName(),a.config=t,this.backwardLayer=Wa(a),this.forwardLayer.name="forward_"+this.forwardLayer.name,this.backwardLayer.name="backward_"+this.backwardLayer.name,this.mergeMode=e.mergeMode===void 0?_U:e.mergeMode,CU(this.mergeMode),e.weights)throw new De("weights support is not implemented for Bidirectional layer yet.");this._stateful=e.layer.stateful,this.returnSequences=e.layer.returnSequences,this.returnState=e.layer.returnState,this.supportsMasking=!0,this._trainable=!0,this.inputSpec=e.layer.inputSpec,this.numConstants=null}get trainable(){return this._trainable}set trainable(e){this._trainable=e,this.forwardLayer!=null&&(this.forwardLayer.trainable=e),this.backwardLayer!=null&&(this.backwardLayer.trainable=e)}getWeights(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())}setWeights(e){let t=e.length,n=Math.floor(t/2);this.forwardLayer.setWeights(e.slice(0,n)),this.backwardLayer.setWeights(e.slice(n))}computeOutputShape(e){let t=this.forwardLayer.computeOutputShape(e);Array.isArray(t)&&Array.isArray(t[0])||(t=[t]),t=t;let n,a,r;return this.returnState&&(r=t.slice(1)),n=t[0],n=n,this.mergeMode==="concat"?(n[n.length-1]*=2,a=[n]):this.mergeMode==null?a=[n,n.slice()]:a=[n],this.returnState?this.mergeMode==null?a.concat(r).concat(r.slice()):[n].concat(r).concat(r.slice()):Mn(a)}apply(e,t){let n=t==null?null:t.initialState,a=t==null?null:t.constants;t==null&&(t={});let r=CN(e,n,a,this.numConstants);if(e=r.inputs,n=r.initialState,a=r.constants,Array.isArray(e)&&(n=e.slice(1),e=e[0]),(n==null||n.length===0)&&a==null)return super.apply(e,t);let s=[],i=[];if(n!=null){let l=n.length;if(l%2>0)throw new V("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");t.initialState=n,s.push(...n);let u=n.map(p=>new zt({shape:p.shape}));this.forwardLayer.stateSpec=u.slice(0,l/2),this.backwardLayer.stateSpec=u.slice(l/2),i.push(...u)}if(a!=null)throw new De("Support for constants in Bidirectional layers is not implemented yet.");let o=s[0]instanceof za;for(let l of s)if(l instanceof za!==o)throw new V("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors");if(o){let l=[e].concat(s),u=this.inputSpec.concat(i),p=this.inputSpec;this.inputSpec=u;let d=super.apply(l,t);return this.inputSpec=p,d}else return super.apply(e,t)}call(e,t){return P(()=>{let n=t.initialState,a,r;if(n==null)a=this.forwardLayer.call(e,t),r=this.backwardLayer.call(e,t);else{let o=n.slice(0,n.length/2),l=n.slice(n.length/2);a=this.forwardLayer.call(e,Object.assign(t,{initialState:o})),r=this.backwardLayer.call(e,Object.assign(t,{initialState:l}))}let s;this.returnState&&(Array.isArray(a)&&(s=a.slice(1).concat(r.slice(1))),a=a[0],r=r[0]),this.returnSequences&&(r=ma(r,1));let i;return this.mergeMode==="concat"?i=jv([a,r]):this.mergeMode==="sum"?i=Y(a,r):this.mergeMode==="ave"?i=z(.5,Y(a,r)):this.mergeMode==="mul"?i=z(a,r):this.mergeMode==null&&(i=[a,r]),this.returnState?this.mergeMode==null?i.concat(s):[i].concat(s):i})}resetStates(e){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()}build(e){Xs(this.forwardLayer.name,()=>{this.forwardLayer.build(e)}),Xs(this.backwardLayer.name,()=>{this.backwardLayer.build(e)}),this.built=!0}computeMask(e,t){Array.isArray(t)&&(t=t[0]);let n;if(this.returnSequences?this.mergeMode==null?n=[t,t]:n=t:this.mergeMode==null?n=[null,null]:n=null,this.returnState){let a=this.forwardLayer.states.map(r=>null);return Array.isArray(n)?n.concat(a).concat(a):[n].concat(a).concat(a)}else return n}get trainableWeights(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)}get nonTrainableWeights(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),this.forwardLayer!=null&&this.forwardLayer.setFastWeightInitDuringBuild(e),this.backwardLayer!=null&&this.backwardLayer.setFastWeightInitDuringBuild(e)}getConfig(){let e={mergeMode:this.mergeMode},t=super.getConfig();return Object.assign(e,t),e}static fromConfig(e,t){let n=Wa(t.layer);if(delete t.layer,t.numConstants!=null)throw new De("Deserialization of a Bidirectional layer with numConstants present is not supported yet.");let a=t;return a.layer=n,new e(a)}};c0.className="Bidirectional";ne.registerClass(c0);var d0=class extends qe{constructor(e){super(e),this.scale=e.scale,e.offset?this.offset=e.offset:this.offset=0}getConfig(){let e={scale:this.scale,offset:this.offset},t=super.getConfig();return Object.assign(e,t),e}call(e,t){return P(()=>(e=Re(e),e.dtype!=="float32"&&(e=Wc(e,"float32")),Y(z(e,this.scale),this.offset)))}};d0.className="Rescaling";ne.registerClass(d0);function EU(e){return new $u(e)}function AU(e){return new bw(e)}function $U(e){return new mw(e)}function FU(e){return new fw(e)}function DU(e){return new gw(e)}function RU(e){return new xw(e)}function MU(e){return new yw(e)}function PU(e){return new If(e)}function OU(e){return new Kc(e)}function LU(e){return new kw(e)}function zU(e){return new Xc(e)}function BU(e){return new Iw(e)}function WU(e){return new Sw(e)}function VU(e){return new Tw(e)}function UU(e){return new Nw(e)}function GU(e){return new Cw(e)}function HU(e){return new Mw(e)}function jU(e){return new Dw(e)}function qU(e){return new _f(e)}function KU(e){return new Fw(e)}function XU(e){return new Rw(e)}function YU(e){return new Pw(e)}function ZU(e){return new Ow(e)}function JU(e){return new Lw(e)}function QU(e){return new Bw(e)}function eG(e){return new Ww(e)}function tG(e){return new Uw(e)}function nG(e){return new jw(e)}function aG(e){return new Gw(e)}function rG(e){return new Hw(e)}function sG(e){return new Vw(e)}function iG(e){return new qw(e)}function oG(e){return new Zw(e)}function lG(e){return new Jw(e)}function uG(e){return new Qw(e)}function h0(e){return new t0(e)}function pG(e){return h0(e)}function cG(e){return h0(e)}function m0(e){return new a0(e)}function dG(e){return m0(e)}function hG(e){return m0(e)}function f0(e){return new s0(e)}function mG(e){return f0(e)}function fG(e){return f0(e)}function gG(e){return new i0(e)}function bG(e){return new l0(e)}function ON(e){return new o0(e)}function LN(e){return new u0(e)}function zN(e){return new e0(e)}function BN(e){return new n0(e)}function yG(e){return new r0(e)}function xG(e){return new Ew(e)}function vG(e){return new Tf(e)}function wG(e){return new Aw(e)}function kG(e){return new Zc(e)}function IG(e){return new _w(e)}function SG(e){return new Sf(e)}function TG(e){return new $w(e)}function NG(e){return new Cf(e)}function CG(e){return new cr(e)}function _G(e){return new Nf(e)}function EG(e){return new c0(e)}function AG(e){return new p0(e)}var $G=ON,FG=LN,DG=zN,RG=BN;function MG(e){return new Kw(e)}function PG(e){return new Xw(e)}function OG(e){return new Yw(e)}function LG(e){return new zw(e)}function zG(e){return new d0(e)}var WN={};_e(WN,{MAPE:()=>YG,MSE:()=>QG,binaryAccuracy:()=>BG,binaryCrossentropy:()=>WG,categoricalAccuracy:()=>UG,categoricalCrossentropy:()=>GG,cosineProximity:()=>qG,mape:()=>ZG,meanAbsoluteError:()=>KG,meanAbsolutePercentageError:()=>XG,meanSquaredError:()=>JG,mse:()=>eH,precision:()=>HG,recall:()=>jG,sparseCategoricalAccuracy:()=>VG});function BG(e,t){return ow(e,t)}function WG(e,t){return tN(e,t)}function VG(e,t){return nN(e,t)}function UG(e,t){return lw(e,t)}function GG(e,t){return uw(e,t)}function HG(e,t){return eN(e,t)}function jG(e,t){return FV(e,t)}function qG(e,t){return iw(e,t)}function KG(e,t){return wf(e,t)}function XG(e,t){return Fu(e,t)}function YG(e,t){return Fu(e,t)}function ZG(e,t){return Fu(e,t)}function JG(e,t){return bo(e,t)}function QG(e,t){return bo(e,t)}function eH(e,t){return bo(e,t)}var VN={};_e(VN,{modelFromJSON:()=>lU});var UN={};_e(UN,{l1:()=>nH,l1l2:()=>tH,l2:()=>aH});function tH(e){return new jc(e)}function nH(e){return gU(e)}function aH(e){return bU(e)}var GN=class extends pl{constructor(){super(...arguments),this.model=null}setModel(e){if(!(e instanceof Nr))throw new Error("model must be a LayersModel, not some other Container");this.model=e}};function Xd(e,t){return et}var HN=class extends GN{constructor(e){if(super(),e==null&&(e={}),e.restoreBestWeights)throw new De("restoreBestWeights = True is not implemented in EarlyStopping yet.");this.monitor=e.monitor||"val_loss",this.minDelta=Math.abs(e.minDelta||0),this.patience=e.patience||0,this.verbose=e.verbose||0,this.mode=e.mode||"auto",this.baseline=e.baseline,["auto","min","max"].indexOf(this.mode)===-1&&(console.warn(`EarlyStopping mode '${this.mode}' is invalid. Falling back to mode 'auto'.`),this.mode="auto"),this.mode==="min"?this.monitorFunc=Xd:this.mode==="max"?this.monitorFunc=kk:this.monitor.indexOf("acc")!==-1?this.monitorFunc=kk:this.monitorFunc=Xd,this.monitorFunc===Xd&&(this.minDelta*=-1)}async onTrainBegin(e){this.wait=0,this.stoppedEpoch=0,this.baseline!=null?this.best=this.baseline:this.best=this.monitorFunc===Xd?1/0:-1/0}async onEpochEnd(e,t){await Hr(t);let n=this.getMonitorValue(t);n!=null&&(this.monitorFunc(n-this.minDelta,this.best)?(this.best=n,this.wait=0):(this.wait++,this.wait>=this.patience&&(this.stoppedEpoch=e,this.model.stopTraining=!0)))}async onTrainEnd(e){this.stoppedEpoch>0&&this.verbose&&console.log(`Epoch ${this.stoppedEpoch}: early stopping.`)}getMonitorValue(e){e==null&&(e={});let t=e[this.monitor];return t==null&&console.warn(`Metric for EarlyStopping ${this.monitor} is not available. Available metrics are: ${Object.keys(e)}`),t}};function rH(e){return new HN(e)}var sH={earlyStopping:rH},iH=H();iH.registerFlag("KEEP_INTERMEDIATE_TENSORS",()=>!1,e=>{e&&console.warn("Keep intermediate tensors is ON. This will print the values of all intermediate tensors during model inference. Not all models support this mode. For details, check e2e/benchmarks/ model_config.js. This significantly impacts performance.")});var Ia;(function(e){e[e.DT_INVALID=0]="DT_INVALID",e[e.DT_FLOAT=1]="DT_FLOAT",e[e.DT_DOUBLE=2]="DT_DOUBLE",e[e.DT_INT32=3]="DT_INT32",e[e.DT_UINT8=4]="DT_UINT8",e[e.DT_INT16=5]="DT_INT16",e[e.DT_INT8=6]="DT_INT8",e[e.DT_STRING=7]="DT_STRING",e[e.DT_COMPLEX64=8]="DT_COMPLEX64",e[e.DT_INT64=9]="DT_INT64",e[e.DT_BOOL=10]="DT_BOOL",e[e.DT_QINT8=11]="DT_QINT8",e[e.DT_QUINT8=12]="DT_QUINT8",e[e.DT_QINT32=13]="DT_QINT32",e[e.DT_BFLOAT16=14]="DT_BFLOAT16",e[e.DT_QINT16=15]="DT_QINT16",e[e.DT_QUINT16=16]="DT_QUINT16",e[e.DT_UINT16=17]="DT_UINT16",e[e.DT_COMPLEX128=18]="DT_COMPLEX128",e[e.DT_HALF=19]="DT_HALF",e[e.DT_RESOURCE=20]="DT_RESOURCE",e[e.DT_VARIANT=21]="DT_VARIANT",e[e.DT_UINT32=22]="DT_UINT32",e[e.DT_UINT64=23]="DT_UINT64",e[e.DT_FLOAT_REF=101]="DT_FLOAT_REF",e[e.DT_DOUBLE_REF=102]="DT_DOUBLE_REF",e[e.DT_INT32_REF=103]="DT_INT32_REF",e[e.DT_UINT8_REF=104]="DT_UINT8_REF",e[e.DT_INT16_REF=105]="DT_INT16_REF",e[e.DT_INT8_REF=106]="DT_INT8_REF",e[e.DT_STRING_REF=107]="DT_STRING_REF",e[e.DT_COMPLEX64_REF=108]="DT_COMPLEX64_REF",e[e.DT_INT64_REF=109]="DT_INT64_REF",e[e.DT_BOOL_REF=110]="DT_BOOL_REF",e[e.DT_QINT8_REF=111]="DT_QINT8_REF",e[e.DT_QUINT8_REF=112]="DT_QUINT8_REF",e[e.DT_QINT32_REF=113]="DT_QINT32_REF",e[e.DT_BFLOAT16_REF=114]="DT_BFLOAT16_REF",e[e.DT_QINT16_REF=115]="DT_QINT16_REF",e[e.DT_QUINT16_REF=116]="DT_QUINT16_REF",e[e.DT_UINT16_REF=117]="DT_UINT16_REF",e[e.DT_COMPLEX128_REF=118]="DT_COMPLEX128_REF",e[e.DT_HALF_REF=119]="DT_HALF_REF",e[e.DT_RESOURCE_REF=120]="DT_RESOURCE_REF",e[e.DT_VARIANT_REF=121]="DT_VARIANT_REF",e[e.DT_UINT32_REF=122]="DT_UINT32_REF",e[e.DT_UINT64_REF=123]="DT_UINT64_REF"})(Ia||(Ia={}));var Ik;(function(e){let t;(function(n){n[n.LEGACY=0]="LEGACY",n[n.V1=1]="V1",n[n.V2=2]="V2"})(t=e.CheckpointFormatVersion||(e.CheckpointFormatVersion={}))})(Ik||(Ik={}));var g0={};function oH(e,t){let n={tfOpName:e,category:"custom",inputs:[],attrs:[],customExecutor:t};g0[e]=n}function jN(e){return g0[e]}function lH(e){delete g0[e]}function k(e,t,n,a,r){let s=t.inputParams[e];if(s&&s.inputIndexStart!==void 0){let o=s.inputIndexStart,l=s.inputIndexEnd===0?void 0:s.inputIndexEnd===void 0?o+1:s.inputIndexEnd;if(s.type==="tensor")return vn(t.inputNames[s.inputIndexStart],n,a,r);if(s.type==="tensors")return t.inputNames.slice(o,l).map(d=>vn(d,n,a,r));let u=vn(t.inputNames.slice(o)[0],n,a,r),p=u.dataSync();return s.type==="number"?p[0]:v.toNestedArray(u.shape,p)}let i=t.attrParams[e];return i&&i.value}function vn(e,t,n,a){let[r,s]=Kn(e);if(a!=null){let o=a.getHashTableHandleByName(r);if(o!=null)return o}let i=n.currentContextIds.find(o=>!!t[Dh(r,o)]);return i!==void 0?t[Dh(r,i)][s]:void 0}function uH(e,t,n){return t[Dh(e,n.currentContextId)]}function nr(e,t){let[n,a,r]=Kn(e);return[Dh(n,t&&t.currentContextId),a,r]}function Dh(e,t){return t?`${e}-${t}`:e}function Kn(e){let t=e.split(":");if(t.length===1)return[e,0,void 0];let n=t[0],a=t.length===3?t[1]:void 0,r=Number(t[t.length-1]);return[n,r,a]}function rh(e,t,n){let a=k("pad",e,t,n);if(a==="explicit"){a=k("explicitPaddings",e,t,n);let r=[[0,0],[0,0],[0,0],[0,0]];for(let s=0;s<4;s++)r[s][0]=a[s*2],r[s][1]=a[s*2+1];return r}return a}function wr(e){return e.kept?e:ar(e)}var qN={};_e(qN,{json:()=>pH});var pH=[{tfOpName:"Add",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddV2",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddN",category:"arithmetic",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"BiasAdd",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"Sub",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"RealDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Div",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"DivNoNan",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mul",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Maximum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Minimum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Pow",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SquaredDifference",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorMod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],KN={};_e(KN,{json:()=>cH});var cH=[{tfOpName:"Abs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan2",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Ceil",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ClipByValue",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"clipValueMin",type:"number"},{start:2,name:"clipValueMax",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Complex",category:"basic_math",inputs:[{start:0,name:"real",type:"tensor"},{start:1,name:"imag",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ComplexAbs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Elu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Exp",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Floor",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Imag",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Neg",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Real",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Prelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"alpha",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu6",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Selu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sigmoid",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Rsqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Square",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sign",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Round",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Expm1",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log1p",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Reciprocal",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Softplus",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Erf",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Prod",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axes",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LeakyRelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"alpha",name:"alpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"IsNan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],XN={};_e(XN,{json:()=>dH});var dH=[{tfOpName:"EmptyTensorList",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"maxNumElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"LoopCond",category:"control",inputs:[{start:0,name:"pred",type:"tensor"}]},{tfOpName:"Switch",category:"control",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"pred",type:"tensor"}]},{tfOpName:"Merge",category:"control",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"Enter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"frame_name",name:"frameName",type:"string"},{tfName:"is_constant",name:"isConstant",type:"bool"}]},{tfOpName:"Exit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NextIteration",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayV3",category:"control",inputs:[{start:0,name:"size",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"dynamic_size",name:"dynamicSize",type:"bool"},{tfName:"clear_after_read",name:"clearAfterRead",type:"bool"},{tfName:"identical_element_shapes",name:"identicalElementShapes",type:"bool"},{tfName:"tensor_array_name",name:"name",type:"string"}]},{tfOpName:"TensorArrayWriteV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayReadV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayGatherV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"}]},{tfOpName:"TensorArrayScatterV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArrayConcatV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape_except0",name:"elementShapeExcept0",type:"shape",notSupported:!0}]},{tfOpName:"TensorArraySplitV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"tensor",type:"tensor"},{start:2,name:"lengths",type:"number[]"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArraySizeV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}]},{tfOpName:"TensorArrayCloseV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"}]},{tfOpName:"StatelessIf",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"If",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"StatelessWhile",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"While",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"TensorListScatter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListScatterV2",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"},{start:3,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGather",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListSetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListReserve",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListFromTensor",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListStack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"},{tfName:"num_elements",name:"numElements",type:"dtype"}]},{tfOpName:"TensorListSplit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"},{start:2,name:"lengths",type:"number[]"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcat",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcatV2",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPopBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPushBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListLength",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}]},{tfOpName:"TensorListResize",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"size",type:"number"}]}],YN={};_e(YN,{json:()=>hH});var hH=[{tfOpName:"AvgPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[],notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPoolWithArgmax",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"include_batch_in_index",name:"includeBatchInIndex",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AvgPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Conv1D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"stride",name:"stride",type:"number"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NWC"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"dilation",name:"dilation",type:"number",defaultValue:1}]},{tfOpName:"Conv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"useCudnnOnGpu",name:"useCudnnOnGpu",type:"bool"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"_FusedConv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"use_cudnn_on_gpu",name:"useCudnnOnGpu",type:"bool",defaultValue:!0},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2}]},{tfOpName:"Conv2DBackpropInput",category:"convolution",inputs:[{start:2,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:0,name:"outputShape",type:"number[]"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]",notSupported:!0}]},{tfOpName:"DepthwiseConv2d",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"DepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"FusedDepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]}]},{tfOpName:"Conv3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"Dilation2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"rates",name:"dilations",type:"number[]"},{tfName:"padding",name:"pad",type:"string"}]}],ZN={};_e(ZN,{json:()=>mH});var mH=[{tfOpName:"Fill",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"},{start:1,name:"value",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"LinSpace",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"num",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"OneHot",category:"creation",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"depth",type:"number"},{start:2,name:"onValue",type:"number",defaultValue:1},{start:3,name:"offValue",type:"number",defaultValue:0}],attrs:[{tfName:"axis",name:"axis",type:"number",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Ones",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"OnesLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"RandomStandardNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"RandomUniform",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"minval",name:"minval",type:"number",defaultValue:0},{tfName:"maxval",name:"maxval",type:"number",defaultValue:1},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Range",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"step",type:"number",defaultValue:0}],attrs:[{tfName:"Tidx",name:"dtype",type:"dtype"}]},{tfOpName:"TruncatedNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"means",name:"mean",type:"number",defaultValue:0},{tfName:"stddev",name:"stdDev",type:"number",defaultValue:1},{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Zeros",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"ZerosLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Multinomial",category:"creation",inputs:[{start:0,name:"logits",type:"tensor"},{start:1,name:"numSamples",type:"number"}],attrs:[{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number"},{tfName:"T",name:"dtype",type:"dtype"},{tfName:"output_dtype",name:"output_dtype",type:"dtype"}]}],JN={};_e(JN,{json:()=>fH});var fH=[{tfOpName:"NonMaxSuppressionV2",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV3",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV4",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"T_threshold",name:"threshold",type:"dtype",notSupported:!0},{tfName:"pad_to_max_output_size",name:"padToMaxOutputSize",type:"bool"}]},{tfOpName:"NonMaxSuppressionV5",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"},{start:5,name:"softNmsSigma",type:"number"}]},{tfOpName:"Where",category:"dynamic",inputs:[{start:0,name:"condition",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ListDiff",category:"dynamic",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],QN={};_e(QN,{json:()=>gH});var gH=[{tfOpName:"LowerBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"TopKV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"k",type:"number"}],attrs:[{tfName:"sorted",name:"sorted",type:"bool"}]},{tfOpName:"UpperBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"Unique",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"UniqueV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]}],e2={};_e(e2,{json:()=>bH});var bH=[{tfOpName:"PlaceholderWithDefault",category:"graph",inputs:[{start:0,name:"default",type:"tensor"}],attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Placeholder",category:"graph",attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Const",category:"graph"},{tfOpName:"Identity",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IdentityN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Snapshot",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Rank",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Size",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Shape",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"ShapeN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Print",category:"graph",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"data",type:"tensors"}],attrs:[{tfName:"message",name:"message",type:"string"},{tfName:"first_n",name:"firstN",type:"number",notSupported:!0},{tfName:"summarize",name:"summarize",type:"number",defaultValue:3}]},{tfOpName:"NoOp",category:"graph",inputs:[]},{tfOpName:"StopGradient",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"FakeQuantWithMinMaxVars",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"min",name:"min",type:"number"},{tfName:"max",name:"max",type:"number"}]}],t2={};_e(t2,{json:()=>yH});var yH=[{tfOpName:"HashTable",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"HashTableV2",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"LookupTableImport",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableImportV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFind",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFindV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableSize",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]},{tfOpName:"LookupTableSizeV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]}],n2={};_e(n2,{json:()=>xH});var xH=[{tfOpName:"ResizeBilinear",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ResizeNearestNeighbor",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"CropAndResize",category:"image",inputs:[{start:0,name:"image",type:"tensor"},{start:1,name:"boxes",type:"tensor"},{start:2,name:"boxInd",type:"tensor"},{start:3,name:"cropSize",type:"number[]"}],attrs:[{tfName:"method",name:"method",type:"string"},{tfName:"extrapolation_value",name:"extrapolationValue",type:"number"}]},{tfOpName:"ImageProjectiveTransformV3",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"transforms",type:"tensor"},{start:2,name:"outputShape",type:"number[]"},{start:3,name:"fillValue",type:"number"}],attrs:[{tfName:"interpolation",name:"interpolation",type:"string"},{tfName:"fill_mode",name:"fillMode",type:"string"}]}],a2={};_e(a2,{json:()=>vH});var vH=[{tfOpName:"Equal",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NotEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Greater",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"GreaterEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Less",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LessEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalAnd",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalNot",category:"logical",inputs:[{start:0,name:"a",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalOr",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Select",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SelectV2",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],r2={};_e(r2,{json:()=>wH});var wH=[{tfOpName:"_FusedMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMulV2",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Transpose",category:"matrices",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"perm",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Einsum",category:"matrices",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"equation",name:"equation",type:"string"},{tfName:"N",name:"n",type:"number",defaultValue:2},{tfName:"T",name:"dtype",type:"dtype"}]}],s2={};_e(s2,{json:()=>kH});var kH=[{tfOpName:"EuclideanNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",defaultValue:!1}]},{tfOpName:"FusedBatchNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV2",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV3",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"LRN",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"depth_radius",name:"radius",type:"number",defaultValue:5},{tfName:"bias",name:"bias",type:"number",defaultValue:1},{tfName:"alpha",name:"alpha",type:"number",defaultValue:1},{tfName:"beta",name:"beta",type:"number",defaultValue:.5}]},{tfOpName:"Softmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"LogSoftmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"SparseToDense",category:"normalization",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!0,notSupported:!0}]}],i2={};_e(i2,{json:()=>IH});var IH=[{tfOpName:"Bincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}]},{tfOpName:"DenseBincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}],attrs:[{tfName:"binary_output",name:"binaryOutput",type:"bool"}]},{tfOpName:"Max",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Mean",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Min",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Sum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"All",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Any",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"ArgMax",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"ArgMin",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"Prod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Cumprod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]},{tfOpName:"Cumsum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]}],o2={};_e(o2,{json:()=>SH});var SH=[{tfOpName:"ConcatV2",category:"slice_join",inputs:[{start:0,end:-1,name:"tensors",type:"tensors"},{start:-1,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"Concat",category:"slice_join",inputs:[{start:1,end:0,name:"tensors",type:"tensors"},{start:0,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"GatherV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"axis",type:"number",defaultValue:0}],attrs:[{tfName:"batch_dims",name:"batchDims",type:"number",defaultValue:0}]},{tfOpName:"Gather",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",notSupported:!0}]},{tfOpName:"Reverse",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"dims",type:"bool[]"}]},{tfOpName:"ReverseV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}]},{tfOpName:"Slice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"size",type:"number[]"}]},{tfOpName:"StridedSlice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"end",type:"number[]"},{start:3,name:"strides",type:"number[]"}],attrs:[{tfName:"begin_mask",name:"beginMask",type:"number",defaultValue:0},{tfName:"end_mask",name:"endMask",type:"number",defaultValue:0},{tfName:"new_axis_mask",name:"newAxisMask",type:"number",defaultValue:0},{tfName:"ellipsis_mask",name:"ellipsisMask",type:"number",defaultValue:0},{tfName:"shrink_axis_mask",name:"shrinkAxisMask",type:"number",defaultValue:0}]},{tfOpName:"Pack",category:"slice_join",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0}]},{tfOpName:"Unpack",category:"slice_join",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0},{tfName:"num",name:"num",type:"number",defaultValue:0,notSupported:!0}]},{tfOpName:"Tile",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"reps",type:"number[]"}]},{tfOpName:"Split",category:"slice_join",inputs:[{start:0,name:"axis",type:"number",defaultValue:0},{start:1,name:"x",type:"tensor"}],attrs:[{tfName:"num_split",name:"numOrSizeSplits",type:"number",defaultValue:1}]},{tfOpName:"SplitV",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"numOrSizeSplits",type:"number[]"},{start:2,name:"axis",type:"number",defaultValue:0}]},{tfOpName:"ScatterNd",category:"slice_join",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"shape",type:"number[]"}]},{tfOpName:"GatherNd",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}]},{tfOpName:"SparseToDense",category:"slice_join",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!1,notSupported:!0}]}],l2={};_e(l2,{json:()=>TH});var TH=[{tfOpName:"SparseFillEmptyRows",category:"sparse",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"denseShape",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}]},{tfOpName:"SparseReshape",category:"sparse",inputs:[{start:0,name:"inputIndices",type:"tensor"},{start:1,name:"inputShape",type:"tensor"},{start:2,name:"newShape",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SparseSegmentMean",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]},{tfOpName:"SparseSegmentSum",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]}],u2={};_e(u2,{json:()=>NH});var NH=[{tfOpName:"FFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"RFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]},{tfOpName:"IRFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]}],p2={};_e(p2,{json:()=>CH});var CH=[{tfOpName:"StringNGrams",category:"string",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"dataSplits",type:"tensor"}],attrs:[{tfName:"separator",name:"separator",type:"string"},{tfName:"ngram_widths",name:"nGramWidths",type:"number[]"},{tfName:"left_pad",name:"leftPad",type:"string"},{tfName:"right_pad",name:"rightPad",type:"string"},{tfName:"pad_width",name:"padWidth",type:"number"},{tfName:"preserve_short_sequences",name:"preserveShortSequences",type:"bool"}],outputs:["ngrams","ngrams_splits"]},{tfOpName:"StringSplit",category:"string",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"delimiter",type:"tensor"}],attrs:[{tfName:"skip_empty",name:"skipEmpty",type:"bool"}],outputs:["indices","values","shape"]},{tfOpName:"StringToHashBucketFast",category:"string",inputs:[{start:0,name:"input",type:"tensor"}],attrs:[{tfName:"num_buckets",name:"numBuckets",type:"number"}]}],c2={};_e(c2,{json:()=>_H});var _H=[{tfOpName:"Cast",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"SrcT",name:"sdtype",type:"dtype",notSupported:!0},{tfName:"DstT",name:"dtype",type:"dtype"}]},{tfOpName:"ExpandDims",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"MirrorPad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"mode",name:"mode",type:"string"}]},{tfOpName:"Pad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"constant_value",name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"PadV2",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"},{start:2,name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"Reshape",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}]},{tfOpName:"Squeeze",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"axis",tfDeprecatedName:"squeeze_dims",name:"axis",type:"number[]"}]},{tfOpName:"SpaceToBatchND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"paddings",type:"number[]"}]},{tfOpName:"BatchToSpaceND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"crops",type:"number[]"}]},{tfOpName:"DepthToSpace",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"block_size",name:"blockSize",type:"number"},{tfName:"data_format",name:"dataFormat",type:"string"}]},{tfOpName:"BroadcastTo",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}],attrs:[]},{tfOpName:"BroadcastArgs",category:"transformation",inputs:[{start:0,name:"s0",type:"tensor"},{start:1,name:"s1",type:"tensor"}],attrs:[]}],Sk=class{static get Instance(){return this._instance||(this._instance=new this)}constructor(){let e=[qN,KN,XN,YN,ZN,JN,QN,e2,t2,n2,a2,r2,s2,i2,o2,l2,u2,p2,c2],t=[].concat(...e.map(n=>n.json));this.opMappers=t.reduce((n,a)=>(n[a.tfOpName]=a,n),{})}transformGraph(e,t={}){let n=e.node,a=[],r=[],s=[],i=n.reduce((m,f)=>(m[f.name]=this.mapNode(f),f.op.startsWith("Placeholder")?a.push(m[f.name]):f.op==="Const"?r.push(m[f.name]):(f.input==null||f.input.length===0)&&s.push(m[f.name]),m),{}),o=[],l=[],u={},p={};t!=null&&(u=this.mapSignatureEntries(t.inputs),p=this.mapSignatureEntries(t.outputs));let d=Object.keys(i);d.forEach(m=>{let f=i[m];f.inputNames.forEach((g,b)=>{let[y,,x]=nr(g),w=i[y];if(w.outputs!=null){let I=w.outputs.indexOf(x);if(I!==-1){let T=`${y}:${I}`;f.inputNames[b]=T}}f.inputs.push(w),w.children.push(f)})}),Object.keys(p).length===0?d.forEach(m=>{let f=i[m];f.children.length===0&&l.push(f)}):Object.keys(p).forEach(m=>{let[f]=nr(m),g=i[f];g!=null&&(g.signatureKey=p[m],l.push(g))}),Object.keys(u).length>0?Object.keys(u).forEach(m=>{let[f]=nr(m),g=i[f];g&&(g.signatureKey=u[m],o.push(g))}):o=a;let c={};e.library!=null&&e.library.function!=null&&(c=e.library.function.reduce((m,f)=>(m[f.signature.name]=this.mapFunction(f),m),{}));let h={nodes:i,inputs:o,outputs:l,weights:r,placeholders:a,signature:t,functions:c};return s.length>0&&(h.initNodes=s),h}mapSignatureEntries(e){return Object.keys(e||{}).reduce((t,n)=>(t[e[n].name]=n,t),{})}mapNode(e){let t=jN(e.op)||this.opMappers[e.op]||{};e.attr==null&&(e.attr={});let n={name:e.name,op:e.op,category:t.category,inputNames:(e.input||[]).map(a=>a.startsWith("^")?a.slice(1):a),inputs:[],children:[],inputParams:{},attrParams:{},rawAttrs:e.attr,outputs:t.outputs};return t.inputs!=null&&(n.inputParams=t.inputs.reduce((a,r)=>(a[r.name]={type:r.type,inputIndexStart:r.start,inputIndexEnd:r.end},a),{})),t.attrs!=null&&(n.attrParams=t.attrs.reduce((a,r)=>{let s=r.type,i;switch(r.type){case"string":i=Uy(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Uy(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"string[]":i=Yy(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Yy(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"number":i=Hy(e.attr,r.tfName,r.defaultValue||0),i===void 0&&!!r.tfDeprecatedName&&(i=Hy(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"number[]":i=Xy(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Xy(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"bool":i=Gy(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Gy(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"bool[]":i=Jy(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Jy(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"shape":i=Ky(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Ky(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"shape[]":i=Zy(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Zy(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"dtype":i=jy(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=jy(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"dtype[]":i=qy(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=qy(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"func":i=Tk(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Tk(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"tensor":case"tensors":break;default:throw new Error(`Unsupported param type: ${r.type} for op: ${e.op}`)}return a[r.name]={value:i,type:s},a},{})),n}mapFunction(e){let t=e.nodeDef,n=[],a=[],r={};t!=null&&(r=t.reduce((u,p)=>(u[p.name]=this.mapNode(p),p.op==="Const"&&a.push(u[p.name]),u),{}));let s=[],i=[];e.signature.inputArg.forEach(u=>{let[p]=nr(u.name),d={name:p,op:"Placeholder",inputs:[],inputNames:[],category:"graph",inputParams:{},attrParams:{dtype:{value:b0(u.type),type:"dtype"}},children:[]};d.signatureKey=u.name,s.push(d),r[p]=d}),Object.keys(r).forEach(u=>{let p=r[u];p.inputNames.forEach((d,c)=>{let[h,,m]=nr(d),f=r[h];if(f.outputs!=null){let g=f.outputs.indexOf(m);if(g!==-1){let b=`${h}:${g}`;p.inputNames[c]=b}}p.inputs.push(f),f.children.push(p)})});let o=e.ret;e.signature.outputArg.forEach(u=>{let[p,d]=nr(o[u.name]),c=r[p];c!=null&&(c.defaultOutput=d,i.push(c))});let l=this.mapArgsToSignature(e);return{nodes:r,inputs:s,outputs:i,weights:a,placeholders:n,signature:l}}mapArgsToSignature(e){return{methodName:e.signature.name,inputs:e.signature.inputArg.reduce((t,n)=>(t[n.name]=this.mapArgToTensorInfo(n),t),{}),outputs:e.signature.outputArg.reduce((t,n)=>(t[n.name]=this.mapArgToTensorInfo(n,e.ret),t),{})}}mapArgToTensorInfo(e,t){let n=e.name;return t!=null&&(n=t[n]),{name:n,dtype:e.type}}};function EH(e){let t=H().global;if(typeof t.atob!="undefined")return t.atob(e);if(typeof Buffer!="undefined")return new Buffer(e,"base64").toString();throw new Error("Unable to decode base64 in this environment. Missing built-in atob() or Buffer()")}function d2(e,t){let n=Array.isArray(e)?String.fromCharCode.apply(null,e):EH(e);return t?n:n.toLowerCase()}function Uy(e,t,n,a=!1){let r=e[t];return r!=null?d2(r.s,a):n}function Gy(e,t,n){let a=e[t];return a?a.b:n}function Hy(e,t,n){let a=e[t]||{},r=a.i!=null?a.i:a.f!=null?a.f:n;return typeof r=="number"?r:parseInt(r,10)}function b0(e){switch(typeof e=="string"&&(e=Ia[e]),e){case Ia.DT_FLOAT:case Ia.DT_HALF:return"float32";case Ia.DT_INT32:case Ia.DT_INT64:case Ia.DT_INT8:case Ia.DT_UINT8:return"int32";case Ia.DT_BOOL:return"bool";case Ia.DT_DOUBLE:return"float32";case Ia.DT_STRING:return"string";default:return null}}function Tk(e,t,n){let a=e[t];return a&&a.func?a.func.name:n}function jy(e,t,n){let a=e[t];return a&&a.type?b0(a.type):n}function qy(e,t,n){let a=e[t];return a&&a.list&&a.list.type?a.list.type.map(r=>b0(r)):n}function h2(e){if(!e.unknownRank)return e.dim!=null?e.dim.map(t=>typeof t.size=="number"?t.size:parseInt(t.size,10)):[]}function Ky(e,t,n){let a=e[t];return a&&a.shape?h2(a.shape):n}function Xy(e,t,n){let a=e[t];return a?((a.list.f&&a.list.f.length?a.list.f:a.list.i)||[]).map(r=>typeof r=="number"?r:parseInt(r,10)):n}function Yy(e,t,n,a=!1){let r=e[t];return r&&r.list&&r.list.s?r.list.s.map(s=>d2(s,a)):n}function Zy(e,t,n){let a=e[t];return a&&a.list&&a.list.shape?a.list.shape.map(r=>h2(r)):n}function Jy(e,t,n){let a=e[t];return a&&a.list&&a.list.b?a.list.b:n}var AH=class{constructor(e,t,n){this.node=e,this.tensorMap=t,this.context=n,this.inputs=[],this.attrs={},this.inputs=e.inputNames.map(a=>this.getInput(a)),e.rawAttrs!=null&&(this.attrs=Object.keys(e.rawAttrs).reduce((a,r)=>(a[r]=this.getAttr(r),a),{}))}getInput(e){return vn(e,this.tensorMap,this.context)}getAttr(e,t){let n=this.node.rawAttrs[e];if(n.tensor!=null)return vn(e,this.tensorMap,this.context);if(n.i!=null||n.f!=null)return Hy(this.node.rawAttrs,e,t);if(n.s!=null)return Uy(this.node.rawAttrs,e,t);if(n.b!=null)return Gy(this.node.rawAttrs,e,t);if(n.shape!=null)return Ky(this.node.rawAttrs,e,t);if(n.type!=null)return jy(this.node.rawAttrs,e,t);if(n.list!=null){if(n.list.i!=null||n.list.f!=null)return Xy(this.node.rawAttrs,e,t);if(n.list.s!=null)return Yy(this.node.rawAttrs,e,t);if(n.list.shape!=null)return Zy(this.node.rawAttrs,e,t);if(n.list.b!=null)return Jy(this.node.rawAttrs,e,t);if(n.list.type!=null)return qy(this.node.rawAttrs,e,t)}return t}},ln={};_e(ln,{OP_SCOPE_SUFFIX:()=>Tx,abs:()=>Lt,acos:()=>zx,acosh:()=>Bx,add:()=>Y,addN:()=>xS,all:()=>Em,any:()=>Gp,argMax:()=>ai,argMin:()=>Wx,asin:()=>Vx,asinh:()=>Ux,atan:()=>Gx,atan2:()=>Hx,atanh:()=>jx,avgPool:()=>fa,avgPool3d:()=>Kx,basicLSTMCell:()=>IS,batchNorm:()=>gs,batchNorm2d:()=>Xx,batchNorm3d:()=>Yx,batchNorm4d:()=>Zx,batchToSpaceND:()=>_c,bincount:()=>Jx,booleanMaskAsync:()=>sT,broadcastArgs:()=>SS,broadcastTo:()=>Ks,buffer:()=>Pe,cast:()=>oe,ceil:()=>Qx,clipByValue:()=>Qt,clone:()=>ar,complex:()=>Cr,concat:()=>Ze,concat1d:()=>ev,concat2d:()=>tv,concat3d:()=>nv,concat4d:()=>av,conv1d:()=>Am,conv2d:()=>$t,conv2dTranspose:()=>$m,conv3d:()=>sv,conv3dTranspose:()=>iv,cos:()=>Ec,cosh:()=>Fm,cosineWindow:()=>Qm,cumprod:()=>Hp,cumsum:()=>Dm,denseBincount:()=>NS,depthToSpace:()=>ov,depthwiseConv2d:()=>bs,diag:()=>CS,dilation2d:()=>lv,div:()=>he,divNoNan:()=>uv,dot:()=>pv,dropout:()=>Ov,einsum:()=>_S,elu:()=>Su,enclosingPowerOfTwo:()=>Lv,equal:()=>Jn,erf:()=>cv,euclideanNorm:()=>mv,exp:()=>fn,expandDims:()=>hn,expm1:()=>fv,eye:()=>Rm,fft:()=>Oc,fill:()=>gn,floor:()=>Nu,floorDiv:()=>_m,fused:()=>ll,gather:()=>Cu,gatherND:()=>uT,greater:()=>Vn,greaterEqual:()=>ys,ifft:()=>ol,imag:()=>Tc,image:()=>Ir,inTopKAsync:()=>pT,irfft:()=>Xm,isFinite:()=>gv,isInf:()=>bv,isNaN:()=>yv,leakyRelu:()=>Ac,less:()=>Mm,lessEqual:()=>xs,linalg:()=>Wv,linspace:()=>DS,localResponseNormalization:()=>xv,log:()=>Qn,log1p:()=>$c,logSigmoid:()=>vv,logSoftmax:()=>Om,logSumExp:()=>Lm,logicalAnd:()=>_a,logicalNot:()=>Fc,logicalOr:()=>zm,logicalXor:()=>wv,losses:()=>kT,lowerBound:()=>MS,matMul:()=>Ae,max:()=>Na,maxPool:()=>Dt,maxPool3d:()=>kv,maxPoolWithArgmax:()=>PS,maximum:()=>ur,mean:()=>Nt,meshgrid:()=>OS,min:()=>jp,minimum:()=>_u,mirrorPad:()=>Iv,mod:()=>Sv,moments:()=>Dc,movingAverage:()=>iT,mul:()=>z,multiRNNCell:()=>LS,multinomial:()=>zS,neg:()=>yt,norm:()=>Tu,notEqual:()=>ii,oneHot:()=>al,ones:()=>Yn,onesLike:()=>ea,op:()=>L,outerProduct:()=>BS,pad:()=>ga,pad1d:()=>WS,pad2d:()=>VS,pad3d:()=>US,pad4d:()=>GS,pool:()=>Tv,pow:()=>_r,prelu:()=>Mc,print:()=>Ex,prod:()=>Nv,raggedGather:()=>HS,raggedTensorToTensor:()=>jS,rand:()=>qS,randomGamma:()=>KS,randomNormal:()=>Wm,randomStandardNormal:()=>XS,randomUniform:()=>Eu,range:()=>sl,real:()=>rl,reciprocal:()=>Ev,relu:()=>Xe,relu6:()=>Vm,reshape:()=>B,reverse:()=>ma,reverse1d:()=>YS,reverse2d:()=>ZS,reverse3d:()=>JS,reverse4d:()=>QS,rfft:()=>Lc,round:()=>Um,rsqrt:()=>Gm,scalar:()=>ye,scatterND:()=>oT,searchSorted:()=>Bm,selu:()=>Hm,separableConv2d:()=>vs,setdiff1dAsync:()=>eT,sigmoid:()=>da,sign:()=>Av,signal:()=>wT,sin:()=>jm,sinh:()=>qm,slice:()=>We,slice1d:()=>Pc,slice2d:()=>Km,slice3d:()=>mo,slice4d:()=>il,softmax:()=>ja,softplus:()=>ho,spaceToBatchND:()=>Rc,sparse:()=>IT,sparseToDense:()=>lT,spectral:()=>vT,split:()=>Ln,sqrt:()=>on,square:()=>ot,squaredDifference:()=>Ym,squeeze:()=>ws,stack:()=>Ft,step:()=>fo,stridedSlice:()=>$v,string:()=>ST,sub:()=>pe,sum:()=>fe,tan:()=>Fv,tanh:()=>ri,tensor:()=>On,tensor1d:()=>Ke,tensor2d:()=>Ca,tensor3d:()=>Nc,tensor4d:()=>Aa,tensor5d:()=>tT,tensor6d:()=>nT,tile:()=>Pn,topk:()=>Dv,transpose:()=>Ce,truncatedNormal:()=>Zm,unique:()=>Rv,unsortedSegmentSum:()=>Jm,unstack:()=>ct,upperBound:()=>aT,variable:()=>Mv,where:()=>mn,whereAsync:()=>Pv,zeros:()=>It,zerosLike:()=>je});var $H=(e,t,n,a=ln)=>{switch(e.op){case"BiasAdd":case"AddV2":case"Add":return[a.add(k("a",e,t,n),k("b",e,t,n))];case"AddN":return[a.addN(k("tensors",e,t,n))];case"FloorMod":case"Mod":return[a.mod(k("a",e,t,n),k("b",e,t,n))];case"Mul":return[a.mul(k("a",e,t,n),k("b",e,t,n))];case"RealDiv":case"Div":return[a.div(k("a",e,t,n),k("b",e,t,n))];case"DivNoNan":return[a.divNoNan(k("a",e,t,n),k("b",e,t,n))];case"FloorDiv":return[a.floorDiv(k("a",e,t,n),k("b",e,t,n))];case"Sub":return[a.sub(k("a",e,t,n),k("b",e,t,n))];case"Minimum":return[a.minimum(k("a",e,t,n),k("b",e,t,n))];case"Maximum":return[a.maximum(k("a",e,t,n),k("b",e,t,n))];case"Pow":return[a.pow(k("a",e,t,n),k("b",e,t,n))];case"SquaredDifference":return[a.squaredDifference(k("a",e,t,n),k("b",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},FH=(e,t,n,a=ln)=>{switch(e.op){case"Abs":case"ComplexAbs":return[a.abs(k("x",e,t,n))];case"Acos":return[a.acos(k("x",e,t,n))];case"Acosh":return[a.acosh(k("x",e,t,n))];case"Asin":return[a.asin(k("x",e,t,n))];case"Asinh":return[a.asinh(k("x",e,t,n))];case"Atan":return[a.atan(k("x",e,t,n))];case"Atan2":return[a.atan2(k("x",e,t,n),k("y",e,t,n))];case"Atanh":return[a.atanh(k("x",e,t,n))];case"Ceil":return[a.ceil(k("x",e,t,n))];case"Complex":return[a.complex(k("real",e,t,n),k("imag",e,t,n))];case"Cos":return[a.cos(k("x",e,t,n))];case"Cosh":return[a.cosh(k("x",e,t,n))];case"Elu":return[a.elu(k("x",e,t,n))];case"Erf":return[a.erf(k("x",e,t,n))];case"Exp":return[a.exp(k("x",e,t,n))];case"Expm1":return[a.expm1(k("x",e,t,n))];case"Floor":return[a.floor(k("x",e,t,n))];case"Log":return[a.log(k("x",e,t,n))];case"Log1p":return[a.log1p(k("x",e,t,n))];case"Imag":return[a.imag(k("x",e,t,n))];case"Neg":return[a.neg(k("x",e,t,n))];case"Reciprocal":return[a.reciprocal(k("x",e,t,n))];case"Real":return[a.real(k("x",e,t,n))];case"Relu":return[a.relu(k("x",e,t,n))];case"Round":return[a.round(k("x",e,t,n))];case"Selu":return[a.selu(k("x",e,t,n))];case"Sigmoid":return[a.sigmoid(k("x",e,t,n))];case"Sin":return[a.sin(k("x",e,t,n))];case"Sign":return[a.sign(k("x",e,t,n))];case"Sinh":return[a.sinh(k("x",e,t,n))];case"Softplus":return[a.softplus(k("x",e,t,n))];case"Sqrt":return[a.sqrt(k("x",e,t,n))];case"Square":return[a.square(k("x",e,t,n))];case"Tanh":return[a.tanh(k("x",e,t,n))];case"Tan":return[a.tan(k("x",e,t,n))];case"ClipByValue":return[a.clipByValue(k("x",e,t,n),k("clipValueMin",e,t,n),k("clipValueMax",e,t,n))];case"Relu6":return[a.relu6(k("x",e,t,n))];case"Rsqrt":return[a.rsqrt(vn(e.inputNames[0],t,n))];case"Prod":return[a.prod(k("x",e,t,n),k("axes",e,t,n))];case"LeakyRelu":return[a.leakyRelu(k("x",e,t,n),k("alpha",e,t,n))];case"Prelu":return[a.prelu(k("x",e,t,n),k("alpha",e,t,n))];case"IsNan":return[a.isNaN(vn(e.inputNames[0],t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function Ta(e,t,n=""){if(!(typeof e=="number"||typeof t=="number")){v.assert(e.length===t.length,()=>n+` Shapes ${e} and ${t} must match`);for(let a=0;an+` Shapes ${e} and ${t} must match`)}}}function Nk(e){return!(typeof e=="number"||e.some(t=>t<0))}function Ip(e,t,n){let a=Qy(e,n),r=!Nk(a);if(r&&t.length===0)throw new Error(`Tried to calculate elements of an empty list with non-fully-defined elementShape: ${a}`);if(r&&t.forEach(s=>{a=Qy(s.shape,a)}),!Nk(a))throw new Error(`Non-fully-defined elementShape: ${a}`);return a}function Qy(e,t){if(typeof e=="number")return t;if(typeof t=="number")return e;if(e.length!==t.length)throw new Error(`Incompatible ranks during merge: ${e} vs. ${t}`);let n=[];for(let a=0;a=0&&s>=0&&r!==s)throw new Error(`Incompatible shape during merge: ${e} vs. ${t}`);n[a]=r>=0?r:s}return n}var DH=class{constructor(e,t,n,a,r,s,i){this.name=e,this.dtype=t,this.maxSize=n,this.elementShape=a,this.identicalElementShapes=r,this.dynamicSize=s,this.clearAfterRead=i,this.tensors=[],this.closed_=!1,this.idTensor=ye(0),Zt(this.idTensor)}get id(){return this.idTensor.id}get closed(){return this.closed_}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.tensor.id))&&t.tensor.dispose()}),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}size(){return this.tensors.length}read(e){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||e>=this.size())throw new Error(`Tried to read from index ${e}, but array size is: ${this.size()}`);let t=this.tensors[e];if(t.cleared)throw new Error(`TensorArray ${this.name}: Could not read index ${e} twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).`);return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor}readMany(e){return e.map(t=>this.read(t))}write(e,t){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error(`Tried to write to index ${e}, but array is not resizeable and size is: ${this.maxSize}`);let n=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, - because the value dtype is ${t.dtype}, but TensorArray dtype is ${this.dtype}.`);if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=t.shape),Ta(this.elementShape,t.shape,`TensorArray ${this.name}: Could not write to TensorArray index ${e}.`),n.read)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been read.`);if(n.written)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been written.`);n.tensor=t,Zt(t),n.written=!0,this.tensors[e]=n}writeMany(e,t){if(e.length!==t.length)throw new Error(`TensorArray ${this.name}: could not write multiple tensors,because the index size: ${e.length} is not the same as tensors size: ${t.length}.`);e.forEach((n,a)=>this.write(n,t[a]))}gather(e,t){if(!!t&&t!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but gather requested dtype ${t}`);if(e)e=e.slice(0,this.size());else{e=[];for(let a=0;a=this.maxSize)throw new Error(`Max index must be < array size (${n} vs. ${this.maxSize})`);this.writeMany(e,ct(t,0))}split(e,t){if(t.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${t.dtype}`);let n=0,a=e.map(o=>(n+=o,n));if(n!==t.shape[0])throw new Error(`Expected sum of lengths to be equal to +2. The custom ${a} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);if(l!=null){let u={};for(let h of Object.keys(ka))u[h]=ka[h];for(let h of Object.keys(n))u[h]=n[h];let p=s.config;p.customObjects=u;let d=Object.assign({},ka);for(let h of Object.keys(n))ka[h]=n[h];My(s.config);let c=l(o,s.config,n,r);return ka=Object.assign({},d),c}else{let u=Object.assign({},ka);for(let d of Object.keys(n))ka[d]=n[d];let p=new o(s.config);return ka=Object.assign({},u),p}}}function E4(e,t){return et?1:0}function jd(e,t){return-1*E4(e,t)}function Jr(e){if(e==null)return e;let t=[];for(let n of e)t.indexOf(n)===-1&&t.push(n);return t}function A4(e){if(e==null)throw new V(`Invalid value in obj: ${JSON.stringify(e)}`);for(let t in e)if(e.hasOwnProperty(t))return!1;return!0}function go(e,t,n){if(n!=null&&e.indexOf(n)<0)throw new V(`${n} is not a valid ${t}. Valid values are ${e} or null/undefined.`)}function qv(e,t,n=0,a=1/0){return tr(n>=0),tr(a>=n),Array.isArray(e)&&e.length>=n&&e.length<=a&&e.every(r=>typeof r===t)}function Qt(e,t){Array.isArray(e)?(v.assert(e.length>0,()=>`${t} is unexpectedly an empty array.`),e.forEach((n,a)=>Qt(n,`element ${a+1} of ${t}`))):v.assert(Number.isInteger(e)&&e>0,()=>`Expected ${t} to be a positive integer, but got ${zT(e)}.`)}function zT(e){return e===null?"null":Array.isArray(e)?"["+e.map(t=>zT(t)).join(",")+"]":typeof e=="string"?`"${e}"`:`${e}`}function $4(e,t,n){let a=n!=null?n():v.now(),r;return(...s)=>{let i=n!=null?n():v.now();return i-a0){let n=`${e}_${t}`;return Ho.set(n,1),n}else return e}var W4=new RegExp(/^[A-Za-z0-9][-A-Za-z0-9\._\/]*$/);function HT(e){return!!e.match(W4)}function B4(e){return e===parseInt(e.toString(),10)}function Qr(e,t,n){t==null&&(t=0),n==null&&(n=e.length);let a=1;for(let r=t;rt&&(t=a)}return t}function Ha(e,t){if(t{if(e.shape.length!==2)throw new V(`repeat() expects a rank-2 tensor, but received a rank-${e.shape.length} tensor.`);let n=Uc(e,1);return Py(n,[1,t,1])})}function U4(e){let t=[Qr(e.shape)];return W(e,t)}function G4(e){if(e.rank<=1)throw new V(`batchFlatten requires a minimum rank of 2. Got rank: ${e.rank}.`);let t=[e.shape[0],Qr(e.shape,1)];return W(e,t)}function Ys(e,t,n){return P(()=>{switch(e.rank){case 1:return Lc(e,t,n);case 2:return Ym(e,[t,0],[n,e.shape[1]]);case 3:return mo(e,[t,0,0],[n,e.shape[1],e.shape[2]]);case 4:return ll(e,[t,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3]]);case 5:return Be(e,[t,0,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3],e.shape[4]]);case 6:return Be(e,[t,0,0,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3],e.shape[4],e.shape[5]]);default:throw new V(`sliceAlongFirstAxis() received an unsupported tensor rank: ${e.rank}`)}})}function cy(e,t,n){return P(()=>{switch(e.rank){case 1:return Lc(e,t,n);case 2:return Ym(e,[0,t],[e.shape[0],n]);case 3:return mo(e,[0,0,t],[e.shape[0],e.shape[1],n]);case 4:return ll(e,[0,0,0,t],[e.shape[0],e.shape[1],e.shape[2],n]);default:throw new V(`sliceAlongLastAxis() received an unsupported tensor rank: ${e.rank}`)}})}function Kd(e,t,n,a){return P(()=>{switch(e.rank){case 1:return Lc(e,t,n);case 2:switch(a){case 1:return Ys(e,t,n);case 2:return cy(e,t,n);default:throw new V(`The axis is not within the rank of the tensor ${a}`)}case 3:switch(a){case 1:return Ys(e,t,n);case 2:return mo(e,[0,t,0],[e.shape[0],n,e.shape[2]]);case 3:return cy(e,t,n);default:throw new V(`The axis is not within the rank of the tensor ${a}`)}case 4:switch(a){case 1:return Ys(e,t,n);case 2:return ll(e,[0,t,0,0],[e.shape[0],n,e.shape[2],e.shape[3]]);case 3:return ll(e,[0,0,t,0],[e.shape[0],e.shape[1],n,e.shape[3]]);case 4:return cy(e,t,n);default:throw new V(`The axis is not within the rank of the tensor ${a}`)}default:throw new V(`sliceAlongLastAxis() received an unsupported tensor rank: ${e.rank}`)}})}function Kv(e,t=-1){let n;return t<0&&(n=e[0].rank,n!==0?t=n:t=0),t===e[0].rank&&(t=-1),Ze(e,t)}function uk(e,t){switch(e.rank){case 1:return nv([e,t]);case 2:return av([e,t],0);case 3:return rv([e,t],0);case 4:return sv([e,t],0);default:throw new V(`concatAlongFirstAxis() received an unsupported tensor rank: ${e.rank}`)}}function Py(e,t){if(Array.isArray(t)||(t=[t]),e.rank!==t.length)throw new V(`The length of input n (${t.length}) does not match the number of dimensions in input x (${e.rank})`);return Ln(e,t)}function mf(e,t=0,n=1,a,r){return Um(e,t,n,a,r)}function sr(e,t,n,a){if(e.rank<2||t.rank<2)throw new Re(`dot requires both inputs to be rank >= 2 but got x shape = ${e.shape} and y shape = ${t.shape}`);if(t.rank>=3){let r=e.shape.slice(-1)[0],s=t.shape.slice(-2)[0];if(r!==s)throw new Re(`If rank y >= 3, then the second last dim of y must equal the last dim of x but got x shape = ${e.shape} and y shape = ${t.shape}`)}if(e.rank===2&&t.rank===2)return pl.matMul({a:e,b:t,transposeA:!1,transposeB:!1,bias:a?Oy(e.rank,a,ja()):null,activation:n});{let r=e.shape.slice(),s=r.pop();e=W(e,[-1,s]);let i=t.shape.slice(),o=i.pop(),l=i.pop(),u=[...i,o],p=Array.from({length:t.rank},(m,f)=>f===0?t.rank-2:f<=t.rank-2?f-1:f);t=W(Ee(t,p),[l,-1]);let d=[...r,...u],c=!1,h=!1;return W(pl.matMul({a:e,b:t,transposeA:c,transposeB:h,bias:a?Oy(e.rank,a,ja()):null,activation:n}),d)}}function jT(e,t,n){return P(()=>(Array.isArray(t)?t=Ke(t,"int32"):t=oe(t,"int32"),Eu(e,t,n)))}function Gc(e){return z(e,e)}function Oy(e,t,n){let a=t.shape;if(t.rank!==1&&t.rank!==e)throw new V(`Unexpected bias dimensions: ${t.rank}; expected it to be 1 or ${e}`);if(e===5){if(n==="channelsFirst")return a.length===1?W(t,[1,a[0],1,1,1]):W(t,[1,a[3],a[0],a[1],a[2]]);if(n==="channelsLast")return a.length===1?W(t,[1,1,1,1,a[0]]):W(t,[1].concat(a))}else if(e===4){if(n==="channelsFirst")return a.length===1?W(t,[1,a[0],1,1]):W(t,[1,a[2],a[0],a[1]]);if(n==="channelsLast")return a.length===1?W(t,[1,1,1,a[0]]):W(t,[1].concat(a))}else if(e===3){if(n==="channelsFirst")return a.length===1?W(t,[1,a[0],1]):W(t,[1,a[1],a[0]]);if(n==="channelsLast")return a.length===1?W(t,[1,1,a[0]]):W(t,[1].concat(a))}else if(e<3)return t;throw new V(`Unsupported input rank by biasAdd: ${t.rank}`)}function Xa(e,t,n){return P(()=>(n==null&&(n=ja()),Rt(n),Y(e,Oy(e.rank,t,n))))}function H4(e,t=1){if(t!==1)throw new Re(`Support for alpha values other than 1 (${t}) is not implemented yet.`);return Nu(e)}function j4(e){return P(()=>he(e,Y(Lt(e),1)))}function qT(e,t,n,a){return P(()=>zv(e,t,n,a))}function q4(e){return P(()=>{let t=Y(.5,z(.2,e));return en(t,0,1)})}function Hc(e,t,n=!1){return n?e():t()}var K4=["fanIn","fanOut","fanAvg"],X4=["normal","uniform","truncatedNormal"];function Y4(e){go(K4,"FanMode",e)}function Z4(e){go(X4,"Distribution",e)}var Fa=class extends ne.Serializable{fromConfigUsesCustomObjects(){return!1}getConfig(){return{}}},Xv=class extends Fa{apply(e,t){return It(e,t)}};Xv.className="Zeros";ne.registerClass(Xv);var ff=class extends Fa{apply(e,t){return Zn(e,t)}};ff.className="Ones";ne.registerClass(ff);var Yv=class extends Fa{constructor(e){if(super(),typeof e!="object")throw new V(`Expected argument of type ConstantConfig but got ${e}`);if(e.value===void 0)throw new V(`config must have value set but got ${e}`);this.value=e.value}apply(e,t){return P(()=>z(ye(this.value),Zn(e,t)))}getConfig(){return{value:this.value}}};Yv.className="Constant";ne.registerClass(Yv);var Zv=class extends Fa{constructor(e){super(),this.DEFAULT_MINVAL=-.05,this.DEFAULT_MAXVAL=.05,this.minval=e.minval||this.DEFAULT_MINVAL,this.maxval=e.maxval||this.DEFAULT_MAXVAL,this.seed=e.seed}apply(e,t){return $u(e,this.minval,this.maxval,t)}getConfig(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}}};Zv.className="RandomUniform";ne.registerClass(Zv);var Jv=class extends Fa{constructor(e){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=e.mean||this.DEFAULT_MEAN,this.stddev=e.stddev||this.DEFAULT_STDDEV,this.seed=e.seed}apply(e,t){if(t=t||"float32",t!=="float32"&&t!=="int32")throw new Re(`randomNormal does not support dType ${t}.`);return mf(e,this.mean,this.stddev,t,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};Jv.className="RandomNormal";ne.registerClass(Jv);var Qv=class extends Fa{constructor(e){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=e.mean||this.DEFAULT_MEAN,this.stddev=e.stddev||this.DEFAULT_STDDEV,this.seed=e.seed}apply(e,t){if(t=t||"float32",t!=="float32"&&t!=="int32")throw new Re(`truncatedNormal does not support dType ${t}.`);return Qm(e,this.mean,this.stddev,t,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};Qv.className="TruncatedNormal";ne.registerClass(Qv);var ew=class extends Fa{constructor(e){super(),this.gain=e.gain!=null?e.gain:1}apply(e,t){return P(()=>{if(e.length!==2||e[0]!==e[1])throw new V("Identity matrix initializer can only be used for 2D square matrices.");return z(this.gain,Pm(e[0]))})}getConfig(){return{gain:this.gain}}};ew.className="Identity";ne.registerClass(ew);function J4(e,t="channelsLast"){let n,a;if(Rt(t),e.length===2)n=e[0],a=e[1];else if([3,4,5].indexOf(e.length)!==-1){if(t==="channelsFirst"){let r=Qr(e,2);n=e[1]*r,a=e[0]*r}else if(t==="channelsLast"){let r=Qr(e,0,e.length-2);n=e[e.length-2]*r,a=e[e.length-1]*r}}else{let r=Qr(e);n=Math.sqrt(r),a=Math.sqrt(r)}return[n,a]}var Bn=class extends Fa{constructor(e){if(super(),e.scale<0)throw new V(`scale must be a positive float. Got: ${e.scale}`);this.scale=e.scale==null?1:e.scale,this.mode=e.mode==null?"fanIn":e.mode,Y4(this.mode),this.distribution=e.distribution==null?"normal":e.distribution,Z4(this.distribution),this.seed=e.seed}apply(e,t){let n=J4(e),a=n[0],r=n[1],s=this.scale;if(this.mode==="fanIn"?s/=Math.max(1,a):this.mode==="fanOut"?s/=Math.max(1,r):s/=Math.max(1,(a+r)/2),this.distribution==="normal"){let i=Math.sqrt(s);if(t=t||"float32",t!=="float32"&&t!=="int32")throw new Re(`${this.getClassName()} does not support dType ${t}.`);return Qm(e,0,i,t,this.seed)}else{let i=Math.sqrt(3*s);return $u(e,-i,i,t)}}getConfig(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}}};Bn.className="VarianceScaling";ne.registerClass(Bn);var gf=class extends Bn{constructor(e){super({scale:1,mode:"fanAvg",distribution:"uniform",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};gf.className="GlorotUniform";ne.registerClass(gf);var bf=class extends Bn{constructor(e){super({scale:1,mode:"fanAvg",distribution:"normal",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};bf.className="GlorotNormal";ne.registerClass(bf);var yf=class extends Bn{constructor(e){super({scale:2,mode:"fanIn",distribution:"normal",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};yf.className="HeNormal";ne.registerClass(yf);var xf=class extends Bn{constructor(e){super({scale:2,mode:"fanIn",distribution:"uniform",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};xf.className="HeUniform";ne.registerClass(xf);var vf=class extends Bn{constructor(e){super({scale:1,mode:"fanIn",distribution:"normal",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};vf.className="LeCunNormal";ne.registerClass(vf);var wf=class extends Bn{constructor(e){super({scale:1,mode:"fanIn",distribution:"uniform",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};wf.className="LeCunNormal";ne.registerClass(wf);var tw=class extends Fa{constructor(e){if(super(),this.DEFAULT_GAIN=1,this.gain=e.gain==null?this.DEFAULT_GAIN:e.gain,this.seed=e.seed,this.seed!=null)throw new Re("Random seed is not implemented for Orthogonal Initializer yet.")}apply(e,t){return P(()=>{if(e.length<2)throw new Re("Shape must be at least 2D.");e[0]*e[1]>2e3&&console.warn(`Orthogonal initializer is being called on a matrix with more than 2000 (${e[0]*e[1]}) elements: Slowness may result.`);let n=e[0]>e[1]?[e[1],e[0]]:e,a=mf(n,0,1,"float32"),r=Uv.gramSchmidt(a);return e[0]>e[1]&&(r=Ee(r)),z(this.gain,r)})}getConfig(){return{gain:this.gain,seed:this.seed}}};tw.className="Orthogonal";ne.registerClass(tw);var pk={constant:"Constant",glorotNormal:"GlorotNormal",glorotUniform:"GlorotUniform",heNormal:"HeNormal",heUniform:"HeUniform",identity:"Identity",leCunNormal:"LeCunNormal",leCunUniform:"LeCunUniform",ones:"Ones",orthogonal:"Orthogonal",randomNormal:"RandomNormal",randomUniform:"RandomUniform",truncatedNormal:"TruncatedNormal",varianceScaling:"VarianceScaling",zeros:"Zeros"};function ck(e,t={}){return Vc(e,ne.SerializationMap.getMap().classNameMap,t,"initializer")}function Ct(e){return jv(e)}function St(e){if(typeof e=="string"){let t=e in pk?pk[e]:e;if(t==="GlorotNormal")return new bf;if(t==="GlorotUniform")return new gf;if(t==="HeNormal")return new yf;if(t==="HeUniform")return new xf;if(t==="LeCunNormal")return new vf;if(t==="LeCunUniform")return new wf;{let n={};return n.className=t,n.config={},ck(n)}}else return e instanceof Fa?e:ck(e)}function Ly(e){return Array.isArray(e)&&Array.isArray(e[0])}function Th(e){return e.length===0?[]:Array.isArray(e[0])?e:[e]}function Ne(e){let t;if(Array.isArray(e)){if(e.length!==1)throw new V(`Expected Tensor length to be 1; got ${e.length}`);t=e[0]}else t=e;return t}function Qe(e){if(Array.isArray(e)&&Array.isArray(e[0])){if(e.length===1)return e=e,e[0];throw new V(`Expected exactly 1 Shape; got ${e.length}`)}else return e}function Nh(e){let t=0;for(let n of e)n.shape.length===0?t+=1:t+=n.shape.reduce((a,r)=>a*r);return t}var dk="Variable",KT=class{constructor(e,t="float32",n=dk,a=!0,r=null){this.dtype=t==null?"float32":t,this.shape=e.shape,this.id=BT(),n=n==null?dk:n,this.originalName=UT(n),this.name=GT(this.originalName),this.trainable_=a,this.constraint=r,this.val=Ov(e,this.trainable_,this.name,this.dtype)}read(){return this.assertNotDisposed(),this.val}write(e){return this.assertNotDisposed(),Q4(this.val,e),this.val.id!==e.id&&(this.val.assign(e),this.constraint!=null&&this.val.assign(this.constraint.apply(this.val))),this}dispose(){this.assertNotDisposed(),this.val.dispose()}assertNotDisposed(){if(this.val.isDisposed)throw new Error(`LayersVariable ${this.name} is already disposed.`)}get trainable(){return this.trainable_}set trainable(e){this.trainable_=e,this.val.trainable=e}};function Q4(e,t){if(e.shape.toString()!==t.shape.toString())throw new Error("Shape mismatch: "+JSON.stringify(e.shape)+" vs. "+JSON.stringify(t.shape))}function zy(e){return e.map(t=>t.read())}function nw(e){e.forEach(t=>{t[0].write(t[1])})}var zt=class{constructor(e){this.dtype=e.dtype,this.shape=e.shape,e.shape!=null?this.ndim=e.shape.length:this.ndim=e.ndim,this.maxNDim=e.maxNDim,this.minNDim=e.minNDim,this.axes=e.axes||{}}},Ba=class{constructor(e,t,n,a,r,s,i){this.dtype=e,this.shape=t,this.sourceLayer=n,this.inputs=a,this.callArgs=r,this.outputTensorIndex=i,this.id=BT(),s!=null&&(this.originalName=UT(s),this.name=GT(this.originalName)),this.rank=t.length}},eV=0,kf=class{constructor(e,t){this.callArgs=t,this.id=eV++,this.outboundLayer=e.outboundLayer,this.inboundLayers=e.inboundLayers,this.nodeIndices=e.nodeIndices,this.tensorIndices=e.tensorIndices,this.inputTensors=e.inputTensors,this.outputTensors=e.outputTensors,this.inputMasks=e.inputMasks,this.outputMasks=e.outputMasks,this.inputShapes=e.inputShapes,this.outputShapes=e.outputShapes;for(let n of e.inboundLayers)n!=null&&n.outboundNodes.push(this);e.outboundLayer.inboundNodes.push(this)}getConfig(){let e=[];for(let t of this.inboundLayers)t!=null?e.push(t.name):e.push(null);return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:e,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}}},tV=0,Ge=class extends ne.Serializable{constructor(e={}){super(),this._callHook=null,this._addedWeightNames=[],this._stateful=!1,this.id=tV++,this.activityRegularizer=null,this.inputSpec=null,this.supportsMasking=!1,this._trainableWeights=[],this._nonTrainableWeights=[],this._losses=[],this._updates=[],this._built=!1,this.inboundNodes=[],this.outboundNodes=[];let t=e.name;if(!t){let n=this.getClassName();t=wr(n)+"_"+hf(n)}if(this.name=t,this.trainable_=e.trainable==null?!0:e.trainable,e.inputShape!=null||e.batchInputShape!=null){let n;if(e.batchInputShape!=null)n=e.batchInputShape;else if(e.inputShape!=null){let r=null;e.batchSize!=null&&(r=e.batchSize),n=[r].concat(e.inputShape)}this.batchInputShape=n;let a=e.dtype;a==null&&(a=e.inputDType),a==null&&(a="float32"),this.dtype=a}e.weights!=null?this.initialWeights=e.weights:this.initialWeights=null,this._refCount=null,this.fastWeightInitDuringBuild=!1}static nodeKey(e,t){return e.name+"_ib-"+t.toString()}getNodeAtIndex(e,t){if(this.inboundNodes.length===0)throw new Wa(`The layer has never been called and thus has no defined ${t}.`);if(this.inboundNodes.length<=e)throw new V(`Asked to get ${t} at node ${e}, but the layer has only ${this.inboundNodes.length} inbound nodes.`);return this.inboundNodes[e]}getInputAt(e){return On(this.getNodeAtIndex(e,"input").inputTensors)}getOutputAt(e){return On(this.getNodeAtIndex(e,"output").outputTensors)}get input(){if(this.inboundNodes.length>1)throw new vr(`Layer ${this.name} has multiple inbound nodes, hence the notion of "layer input" is ill-defined. Use \`getInputAt(nodeIndex)\` instead.`);if(this.inboundNodes.length===0)throw new vr(`Layer ${this.name} is not connected, no input to return.`);return On(this.getNodeAtIndex(0,"input").inputTensors)}get output(){if(this.inboundNodes.length===0)throw new vr(`Layer ${this.name} has no inbound nodes.`);if(this.inboundNodes.length>1)throw new vr(`Layer ${this.name} has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use \`getOutputAt(nodeIndex)\` instead.`);return On(this.getNodeAtIndex(0,"output").outputTensors)}get losses(){return this._losses}calculateLosses(){return this.losses.map(e=>e())}get updates(){return this._updates}get built(){return this._built}set built(e){this._built=e}get trainable(){return this.trainable_}set trainable(e){this._trainableWeights.forEach(t=>t.trainable=e),this.trainable_=e}get trainableWeights(){return this.trainable_?this._trainableWeights.filter(e=>e.trainable):[]}set trainableWeights(e){this._trainableWeights=e}get nonTrainableWeights(){return this.trainable?this._trainableWeights.filter(e=>!e.trainable).concat(this._nonTrainableWeights):this._trainableWeights.concat(this._nonTrainableWeights)}set nonTrainableWeights(e){this._nonTrainableWeights=e}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}get stateful(){return this._stateful}resetStates(){if(!this.stateful)throw new Error("Cannot call the resetStates() method of a non-stateful Layer object.")}assertInputCompatibility(e){if(e=bt(e),this.inputSpec==null||this.inputSpec.length===0)return;let t=bt(this.inputSpec);if(e.length!==t.length)throw new V(`Layer ${this.name} expects ${t.length} inputs, but it received ${e.length} input tensors. Input received: ${e}`);for(let n=0;nr.maxNDim)throw new V(`Input ${n} is incompatible with layer ${this.name}: expected max_ndim=${r.maxNDim}, found ndim=${s}`);if(r.minNDim!=null&&s=0?i[l]:i[i.length+l];if(u!=null&&[u,null].indexOf(p)===-1)throw new V(`Input ${n} is incompatible with layer ${this.name}: expected axis ${l} of input shape to have value ${u} but got shape ${i}.`)}}if(r.shape!=null)for(let i=0;i{if(!this.built){this.assertInputCompatibility(e);let s=[];for(let i of bt(e))s.push(i.shape);this.build(On(s)),this.built=!0,this.initialWeights&&this.setWeights(this.initialWeights),this._refCount===null&&r&&(this._refCount=1)}if(this.assertInputCompatibility(e),r){let s=this.call(e,t),i=bt(s),o=[];for(let l of i)n.indexOf(l)!==-1&&(l=l.clone()),o.push(l);if(s=On(o),this.activityRegularizer!=null)throw new Re("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return s}else{let s=nV(e),i=this.computeOutputShape(s),o,l=aV(e);if(this.warnOnIncompatibleInputShape(Array.isArray(e)?s[0]:s),i!=null&&i.length>0&&Array.isArray(i[0])?o=i.map((u,p)=>new Ba(l,u,this,bt(e),t,this.name,p)):o=new Ba(l,i,this,bt(e),t,this.name),this.addInboundNode(e,o,null,null,s,i,t),this._refCount++,this.activityRegularizer!=null)throw new Re("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return o}})}warnOnIncompatibleInputShape(e){if(this.batchInputShape!=null)if(e.length!==this.batchInputShape.length)console.warn(`The rank of the input tensor provided (shape: ${JSON.stringify(e)}) does not match that of the batchInputShape (${JSON.stringify(this.batchInputShape)}) of the layer ${this.name}`);else{let t=!1;this.batchInputShape.forEach((n,a)=>{n!=null&&e[a]!=null&&e[a]!==n&&(t=!0)}),t&&console.warn(`The shape of the input tensor (${JSON.stringify(e)}) does not match the expectation of layer ${this.name}: ${JSON.stringify(this.batchInputShape)}`)}}get outputShape(){if(this.inboundNodes==null||this.inboundNodes.length===0)throw new vr(`The layer ${this.name} has never been called and thus has no defined output shape.`);let e=[];for(let t of this.inboundNodes){let n=JSON.stringify(t.outputShapes);e.indexOf(n)===-1&&e.push(n)}if(e.length===1){let t=this.inboundNodes[0].outputShapes;return Array.isArray(t)&&Array.isArray(t[0])&&t.length===1?t[0]:t}else throw new vr(`The layer ${this.name} has multiple inbound nodes with different output shapes. Hence the notion of "output shape" is ill-defined for the layer.`)}countParams(){if(!this.built)throw new Wa(`You tried to call countParams() on ${this.name}, but the layer is not built yet. Build it first by calling build(batchInputShape).`);return Nh(this.weights)}build(e){this.built=!0}getWeights(e=!1){return zy(e?this.trainableWeights:this.weights)}setWeights(e){P(()=>{let t=this.weights;if(t.length!==e.length)throw new V(`You called setWeights(weights) on layer "${this.name}" with a weight list of length ${e.length}, but the layer was expecting ${t.length} weights. Provided weights: ${e}...`);if(t.length===0)return;let n=[],a=zy(t);for(let r=0;rr.apply(u.read())),s==null&&(s=!0),s?this._trainableWeights.push(u):this._nonTrainableWeights.push(u),u}setFastWeightInitDuringBuild(e){this.fastWeightInitDuringBuild=e}addLoss(e){e==null||Array.isArray(e)&&e.length===0||(e=bt(e),this._losses!==void 0&&this._losses!==null&&this.losses.push(...e))}computeOutputShape(e){return e}computeMask(e,t){if(!this.supportsMasking){if(t!=null)if(Array.isArray(t))t.forEach(n=>{if(n!=null)throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`)});else throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`);return null}return t}addInboundNode(e,t,n,a,r,s,i=null){let o=bt(e);t=bt(t),n=bt(n),a=bt(a),r=Th(r),s=Th(s);let l=[],u=[],p=[];for(let d of o)l.push(d.sourceLayer),u.push(d.nodeIndex),p.push(d.tensorIndex);new kf({outboundLayer:this,inboundLayers:l,nodeIndices:u,tensorIndices:p,inputTensors:o,outputTensors:t,inputMasks:n,outputMasks:a,inputShapes:r,outputShapes:s},i);for(let d=0;de.dispose()),this.weights.length}assertNotDisposed(){if(this._refCount===0)throw new Error(`Layer '${this.name}' is already disposed.`)}dispose(){if(!this.built)throw new Error(`Cannot dispose Layer ${this.name} because it has not been built yet.`);if(this._refCount===null)throw new Error(`Cannot dispose Layer ${this.name} because it has not been used yet.`);this.assertNotDisposed();let e=0;return--this._refCount===0&&(e=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:e}}};function nV(e){e=bt(e);let t=[];for(let n of e)t.push(n.shape);return On(t)}function aV(e){return"float32"}function XT(e,t,n){if((t==null||n!=null&&n>0)&&(t=e.sourceLayer,n=e.nodeIndex),t.inboundNodes.length===0)return[e];{let a=t.inboundNodes[n];if(a.inboundLayers.length===0)return a.inputTensors;{let r=[];for(let s=0;sm.name),l=[],u=t.names();for(let m of o)u.indexOf(m)!==-1?l.push(t.getValue(m)):l.push(null);a!=null&&(a.maxNumTensors=-1/0,a.minNumTensors=1/0);let p=o.join(",")+"|"+t.names().sort().join(","),d=Ch.get(p),c;if(d==null){let m=iV(i,t);d=m.sorted,c=m.recipientCounts,Ch.put(p,d),_h.put(p,c)}c={},r||Object.assign(c,_h.get(p));let h=new Hs(t);for(let m=0;ma.maxNumTensors&&(a.maxNumTensors=A),A0,()=>"Expected at least one fetch, got none");let n=[],a={};if(e.length===1){let r=hk(e[0],t);n=r.sorted,a=r.recipientMap}else{let r=new Set;for(let s of e){let{sorted:i,recipientMap:o}=hk(s,t);for(let l of i)r.has(l.name)||(n.push(l),r.add(l.name));for(let l in o)a[l]==null&&(a[l]=new Set),o[l].forEach(u=>a[l].add(u))}}return{sorted:n,recipientCounts:oV(a)}}function oV(e){let t={};for(let n in e)t[n]=e[n].size;return t}function hk(e,t){let n=new Set,a=[],r={};for(let o of t.names())n.add(o);let s=[],i=[];for(s.push(e);s.length>0;){let o=s[s.length-1];if(n.has(o.name)){s.pop();continue}let l=i[i.length-1]===s.length-1;if(o.inputs.length===0||l)s.pop(),a.push(o),n.add(o.name),l&&i.pop();else{i.push(s.length-1);for(let u of o.inputs)r[u.name]==null&&(r[u.name]=new Set),r[u.name].add(o.name),!n.has(u.name)&&s.push(u)}}return{sorted:a,recipientMap:r}}function lV(e){let t;if(e.sourceLayer.inboundNodes.length===1)t=e.sourceLayer.output;else{let n=null;for(let a=0;a100,sV);var ZT={};Ae(ZT,{maxNorm:()=>pV,minMaxNorm:()=>hV,nonNeg:()=>dV,unitNorm:()=>cV});function aw(e,t){return P(()=>ln(fe(z(e,e),t,!0)))}var jc=class extends ne.Serializable{getConfig(){return{}}},rw=class extends jc{constructor(e){super(),this.defaultMaxValue=2,this.defaultAxis=0,this.maxValue=e.maxValue!=null?e.maxValue:this.defaultMaxValue,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return P(()=>{let t=aw(e,this.axis),n=en(t,0,this.maxValue);return z(e,he(n,Y(Gt(),t)))})}getConfig(){return{maxValue:this.maxValue,axis:this.axis}}};rw.className="MaxNorm";ne.registerClass(rw);var sw=class extends jc{constructor(e){super(),this.defaultAxis=0,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return P(()=>he(e,Y(Gt(),aw(e,this.axis))))}getConfig(){return{axis:this.axis}}};sw.className="UnitNorm";ne.registerClass(sw);var iw=class extends jc{apply(e){return Xe(e)}};iw.className="NonNeg";ne.registerClass(iw);var ow=class extends jc{constructor(e){super(),this.defaultMinValue=0,this.defaultMaxValue=1,this.defaultRate=1,this.defaultAxis=0,this.minValue=e.minValue!=null?e.minValue:this.defaultMinValue,this.maxValue=e.maxValue!=null?e.maxValue:this.defaultMaxValue,this.rate=e.rate!=null?e.rate:this.defaultRate,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return P(()=>{let t=aw(e,this.axis),n=Y(z(this.rate,en(t,this.minValue,this.maxValue)),z(1-this.rate,t));return z(e,he(n,Y(Gt(),t)))})}getConfig(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}}};ow.className="MinMaxNorm";ne.registerClass(ow);var mk={maxNorm:"MaxNorm",minMaxNorm:"MinMaxNorm",nonNeg:"NonNeg",unitNorm:"UnitNorm"};function qt(e){return jv(e)}function fk(e,t={}){return Vc(e,ne.SerializationMap.getMap().classNameMap,t,"constraint")}function Kt(e){if(e==null)return null;if(typeof e=="string"){let t={className:e in mk?mk[e]:e,config:{}};return fk(t)}else return e instanceof jc?e:fk(e)}function pV(e){return new rw(e)}function cV(e){return new sw(e)}function dV(){return new iw}function hV(e){return new ow(e)}var JT={};Ae(JT,{constant:()=>gV,glorotNormal:()=>IV,glorotUniform:()=>kV,heNormal:()=>SV,heUniform:()=>TV,identity:()=>vV,leCunNormal:()=>NV,leCunUniform:()=>CV,ones:()=>fV,orthogonal:()=>_V,randomNormal:()=>yV,randomUniform:()=>bV,truncatedNormal:()=>xV,varianceScaling:()=>wV,zeros:()=>mV});function mV(){return new Xv}function fV(){return new ff}function gV(e){return new Yv(e)}function bV(e){return new Zv(e)}function yV(e){return new Jv(e)}function xV(e){return new Qv(e)}function vV(e){return new ew(e)}function wV(e){return new Bn(e)}function kV(e){return new gf(e)}function IV(e){return new bf(e)}function SV(e){return new yf(e)}function TV(e){return new xf(e)}function NV(e){return new vf(e)}function CV(e){return new wf(e)}function _V(e){return new tw(e)}var QT={};Ae(QT,{Layer:()=>Ge,RNN:()=>dr,RNNCell:()=>Zc,activation:()=>tG,add:()=>pG,alphaDropout:()=>qG,average:()=>cG,averagePooling1d:()=>b0,averagePooling2d:()=>y0,averagePooling3d:()=>x0,avgPool1d:()=>vG,avgPool2d:()=>kG,avgPool3d:()=>SG,avgPooling1d:()=>wG,avgPooling2d:()=>IG,avgPooling3d:()=>TG,batchNormalization:()=>bG,bidirectional:()=>zG,categoryEncoding:()=>ZG,concatenate:()=>dG,conv1d:()=>jU,conv2d:()=>qU,conv2dTranspose:()=>KU,conv3d:()=>XU,conv3dTranspose:()=>YU,convLstm2d:()=>MG,convLstm2dCell:()=>PG,cropping2D:()=>JU,dense:()=>nG,depthwiseConv2d:()=>eG,dot:()=>gG,dropout:()=>aG,elu:()=>WU,embedding:()=>uG,flatten:()=>sG,gaussianDropout:()=>jG,gaussianNoise:()=>HG,globalAveragePooling1d:()=>NG,globalAveragePooling2d:()=>CG,globalMaxPool1d:()=>BG,globalMaxPool2d:()=>VG,globalMaxPooling1d:()=>GN,globalMaxPooling2d:()=>HN,gru:()=>EG,gruCell:()=>AG,input:()=>bN,inputLayer:()=>zU,layerNormalization:()=>yG,leakyReLU:()=>VU,lstm:()=>$G,lstmCell:()=>FG,masking:()=>KG,maxPool1d:()=>UG,maxPool2d:()=>GG,maxPooling1d:()=>jN,maxPooling2d:()=>qN,maxPooling3d:()=>_G,maximum:()=>hG,minimum:()=>mG,multiply:()=>fG,permute:()=>lG,prelu:()=>UU,reLU:()=>BU,repeatVector:()=>iG,rescaling:()=>XG,reshape:()=>oG,resizing:()=>YG,rnn:()=>OG,separableConv2d:()=>ZU,simpleRNN:()=>DG,simpleRNNCell:()=>RG,softmax:()=>GU,spatialDropout1d:()=>rG,stackedRNNCells:()=>LG,thresholdedReLU:()=>HU,timeDistributed:()=>WG,upSampling2d:()=>QU,zeroPadding2d:()=>xG});async function jr(e){if(e==null)return;let t=[],n=[],a=[];for(let r in e){let s=e[r];if(typeof s!="number"){let i=s;t.push(i.data()),n.push(r),a.push(i)}}if(t.length>0){let r=await Promise.all(t);for(let s=0;sY(this.totals[a],z(r,n)));this.totals[a]=i,s!=null&&s.dispose()}}}async onEpochEnd(e,t){if(t!=null)for(let n of this.params.metrics)this.totals[n]!=null&&(typeof this.totals[n]=="number"?t[n]=this.totals[n]/this.seen:P(()=>{let a=z(he(1,this.seen),this.totals[n]);t[n]=a,this.totals[n].dispose(),Jt(t[n])}))}},nN=class extends dl{async onTrainBegin(e){this.epoch=[],this.history={}}async onEpochEnd(e,t){t==null&&(t={}),this.epoch.push(e);for(let n in t)this.history[n]==null&&(this.history[n]=[]),this.history[n].push(t[n])}async syncData(){let e=[],t=[],n=[];for(let r in this.history){let s=this.history[r];for(let i=0;inew aN(n,t))}var Ta=class{constructor(){}static registerCallbackConstructor(e,t){v.assert(e>=0&&Number.isInteger(e),()=>`Verbosity level is expected to be an integer >= 0, but got ${e}`),Ta.checkForDuplicate(t),Ta.constructors[e]==null&&(Ta.constructors[e]=[]),Ta.constructors[e].push(t)}static checkForDuplicate(e){for(let t in Ta.constructors)Ta.constructors[+t].forEach(n=>{if(n===e)throw new V("Duplicate callback constructor.")})}static clear(){Ta.constructors={}}static createCallbacks(e){let t=[];for(let n in Ta.constructors){let a=+n;e>=a&&t.push(...Ta.constructors[a])}return t.map(n=>new n)}};Ta.constructors={};function sN(e,t,n,a,r,s,i,o,l){let u=new nN,p=[new AV,...Ta.createCallbacks(t)];e!=null&&p.push(...e),p.push(u);let d=new tN(p);return d.setParams({epochs:n,initialEpoch:a,samples:r,steps:s,batchSize:i,verbose:t,doValidation:o,metrics:l}),{callbackList:d,history:u}}function Ua(e,t={},n=!1){return Vc(e,ne.SerializationMap.getMap().classNameMap,t,"layer",n)}function Eh(e,t){return P(()=>{e.dtype!=="float32"&&(e=oe(e,"float32"));let n=fe(Gc(e),t,!0),a=gn(n.shape,Gt()),r=ln(pr(n,a));return he(e,r)})}function yo(e,t){return P(()=>Nt(Gc(pe(t,e)),-1))}function If(e,t){return P(()=>Nt(Lt(pe(t,e)),-1))}function Ru(e,t){return P(()=>{let n=pe(e,t),a=en(Lt(e),Gt(),Number.MAX_VALUE),r=Lt(he(n,a));return z(100,Nt(r,-1))})}function $V(e,t){return P(()=>{let n=en(t,Gt(),Number.MAX_VALUE),a=ea(Y(1,n)),r=en(e,Gt(),Number.MAX_VALUE),s=ea(Y(1,r));return Nt(Gc(pe(a,s)),-1)})}function FV(e,t){return P(()=>{let n=pr(0,pe(1,z(e,t)));return Nt(Gc(n),-1)})}function DV(e,t){return P(()=>{let n=pr(0,pe(1,z(e,t)));return Nt(n,-1)})}function RV(e,t){return P(()=>{let n=fe(z(e,t),-1),a=ha(z(pe(1,e),t),-1);return pr(0,Y(1,pe(a,n)))})}function MV(e,t){return P(()=>{let n=Math.log(2),a=pe(t,e),r=pe(Y(a,ho(z(-2,a))),n);return Nt(r,-1)})}function Xp(e,t,n=!1){return P(()=>{if(n)t=Ka(t);else{let a=fe(t,t.shape.length-1,!0);t=he(t,a)}return t=en(t,Gt(),1-Gt()),yt(fe(z(oe(e,"float32"),ea(t)),t.shape.length-1))})}function Ah(e,t,n=!1){return P(()=>{let a=oe(_u(U4(e)),"int32");t=en(t,Gt(),1-Gt());let r=t.shape,s=W(rl(a,r[r.length-1]),r);return Xp(s,t,n)})}function PV(e,t){if(!v.arraysEqual(e.shape,t.shape))throw new V(`logits and labels must have the same shape, but got shapes ${JSON.stringify(e.shape)} and ${JSON.stringify(t.shape)}`);return P(()=>{let n=Xe(t),a=yt(Lt(t));return Y(pe(n,z(t,e)),Dc(fn(a)))})}function Sf(e,t){return P(()=>{let n;return n=en(t,Gt(),1-Gt()),n=ea(he(n,pe(1,n))),Nt(PV(e,n),-1)})}function OV(e,t){return P(()=>{let n=en(e,Gt(),1),a=en(t,Gt(),1);return fe(z(e,ea(he(n,a))),-1)})}function LV(e,t){return P(()=>{let n=ea(Y(Gt(),t));return Nt(pe(t,z(e,n)),-1)})}function lw(e,t){return P(()=>{let n=Eh(e,-1),a=Eh(t,-1),r=z(n,a);return yt(fe(r,-1))})}var $h={meanSquaredError:yo,meanAbsoluteError:If,meanAbsolutePercentageError:Ru,meanSquaredLogarithmicError:$V,squaredHinge:FV,hinge:DV,categoricalHinge:RV,logcosh:MV,categoricalCrossentropy:Xp,sparseCategoricalCrossentropy:Ah,binaryCrossentropy:Sf,kullbackLeiblerDivergence:OV,poisson:LV,cosineProximity:lw};function dy(e){if(typeof e=="string"){if(e in $h)return $h[e];let t=`Unknown loss ${e}`;throw e.toLowerCase().includes("softmaxcrossentropy")&&(t=`Unknown loss ${e}. Use "categoricalCrossentropy" as the string name for tf.losses.softmaxCrossEntropy`),new V(t)}else return e}function uw(e,t){return P(()=>{let n=z(.5,ta(t)),a=bo(Nn(t,n),e.dtype);return Nt(Qn(e,a),-1)})}function pw(e,t){return P(()=>bo(Qn(ai(e,-1),ai(t,-1)),"float32"))}function iN(e,t){return P(()=>oe(fe(Ea(Qn(e,1),Qn(t,1))),"float32"))}function zV(e,t){return P(()=>oe(fe(Ea(Qn(e,1),Qn(t,0))),"float32"))}function WV(e,t){return P(()=>oe(fe(Ea(Qn(e,0),Qn(t,1))),"float32"))}function oN(e,t){return P(()=>{let n=iN(e,t),a=WV(e,t),r=Y(n,a);return oe(mn(Nn(r,0),he(n,r),0),"float32")})}function BV(e,t){return P(()=>{let n=iN(e,t),a=zV(e,t),r=Y(n,a);return oe(mn(Nn(r,0),he(n,r),0),"float32")})}function lN(e,t){return Sf(e,t)}function uN(e,t){return e.rank===t.rank&&(e=ws(e,[e.rank-1])),t=ai(t,-1),t.dtype!==e.dtype&&(t=oe(t,e.dtype)),oe(Qn(e,t),"float32")}var VV=yo,UV=yo,GV=If,HV=If,jV=Ru,qV=Ru,cw=Xp,KV=lw,pN=Ah,Fh={binaryAccuracy:uw,categoricalAccuracy:pw,precision:oN,categoricalCrossentropy:cw,sparseCategoricalCrossentropy:pN,mse:VV,MSE:UV,mae:GV,MAE:HV,mape:jV,MAPE:qV,cosine:KV};function XV(e){if(typeof e=="string"&&e in Fh)return Fh[e];if(typeof e!="string"&&e!=null)return e;throw new V(`Unknown metric ${e}`)}function Xd(e){if(tr(e!==null,`Unknown LossOrMetricFn ${e}`),typeof e=="string")return e;{let t;for(let n of Object.keys($h))if($h[n]===e){t=n;break}if(t!==void 0)return t;for(let n of Object.keys(Fh))if(Fh[n]===e){t=n;break}return t!==void 0?t:e.name}}function YV(e){let t={Adagrad:()=>zs.adagrad(.01),Adadelta:()=>zs.adadelta(1,.95,Gt()),Adam:()=>zs.adam(.001,.9,.999,Gt()),Adamax:()=>zs.adamax(.002,.9,.999,Gt(),0),RMSProp:()=>zs.rmsprop(.001,.9,0,Gt()),SGD:()=>zs.sgd(.01)};if(t.adagrad=t.Adagrad,t.adadelta=t.Adadelta,t.adam=t.Adam,t.adamax=t.Adamax,t.rmsprop=t.RMSProp,t.sgd=t.SGD,e in t)return t[e]();throw new V(`Unknown Optimizer ${e}`)}function bk(e,t,n=!1){if(e==null||typeof e!="object"||Object.getPrototypeOf(e)!==Object.prototype||!Wy(e))throw new Error("User-defined metadata is expected to be a JSON object, but is not.");if(n){let a=JSON.stringify(e);a.length>1048576&&console.warn(`User-defined metadata of model "${t}" is too large in size (length=${a.length} when serialized). It is not recommended to store such large objects in user-defined metadata. Please make sure its serialized length is <= ${1048576}.`)}}function Wy(e){if(e===null)return!0;if(typeof e=="object")if(Object.getPrototypeOf(e)===Object.prototype){let t=Object.keys(e);for(let n of t)if(typeof n!="string"||!Wy(e[n]))return!1;return!0}else if(Array.isArray(e)){for(let t of e)if(!Wy(t))return!1;return!0}else return!1;else{let t=typeof e;return t==="string"||t==="number"||t==="boolean"}}function ZV(e,t,n,a=console.log){let r=QV(e),s=["Layer (type)","Input Shape","Output shape","Param #"];r?(t=t||90,n=n||[.32,.61,.89,1]):(t=t||115,n=n||[.24,.48,.7,.8,1]),n[n.length-1]<=1&&(n=n.map(p=>Math.floor(t*p)));let i;if(!r){s.push("Receives inputs"),i=[];for(let p in e.nodesByDepth)i.push(...e.nodesByDepth[p])}a("_".repeat(t)),Dh(s,n,a),a("=".repeat(t));let o=e.layers;for(let p=0;p1||r.length===1&&r[0].inboundLayers.length>1){t=!1;break}a.push(...r)}if(t)for(let r of e.layers){let s=!1;for(let i of r.inboundNodes)if(a.indexOf(i)!==-1)if(s){t=!1;break}else s=!0;if(!t)break}return t}function Dh(e,t,n=console.log){let a="";for(let r=0;r0&&(a=a.slice(0,a.length-1)+" "),a+=e[r],a=a.slice(0,t[r]),a+=" ".repeat(t[r]-a.length);n(a)}function eU(e,t,n){let a,r;try{r=e.inboundNodes.map(l=>JSON.stringify(l.inputShapes)).join(",")}catch(l){r="multiple"}try{a=JSON.stringify(e.outputShape)}catch(l){a="multiple"}let s=e.name,i=e.getClassName(),o=[`${s} (${i})`,r,a,e.countParams().toString()];Dh(o,t,n)}function tU(e,t,n,a){let r,s;try{s=e.inboundNodes.map(d=>JSON.stringify(d.inputShapes)).join(",")}catch(d){s="multiple"}try{r=JSON.stringify(e.outputShape)}catch(d){r="multiple"}let i=[];for(let d of e.inboundNodes)if(!(n!=null&&n.length>0&&n.indexOf(d)===-1))for(let c=0;cb.name)}`);Jr(this.outputs).length!==this.outputs.length&&console.warn(`The list of outputs passed to the model is redundant. All outputs should only appear once. Found: ${this.outputs.map(b=>b.name)}`),this.inputLayers=[],this.inputLayersNodeIndices=[],this.inputLayersTensorIndices=[],this.outputLayers=[],this.outputLayersNodeIndices=[],this.outputLayersTensorIndices=[],this.layers=[],this.internalContainerRefs=[];for(let b of this.outputs){let y=b.sourceLayer,x=b.nodeIndex,w=b.tensorIndex;this.outputLayers.push(y),this.outputLayersNodeIndices.push(x),this.outputLayersTensorIndices.push(w)}for(let b of this.inputs){let y=b.sourceLayer,x=b.nodeIndex,w=b.tensorIndex;tr(x===0,"input layer has >1 nodes"),tr(w===0,"input layer has >1 tensors"),this.inputLayers.push(y),this.inputLayersNodeIndices.push(x),this.inputLayersTensorIndices.push(w)}this.inputNames=[],this.outputNames=[],this.feedInputShapes=[],this.feedInputNames=[],this.feedOutputNames=[];for(let b=0;bb.shape),this.internalOutputShapes=this.outputs.map(b=>b.shape);let t={},n={},a={},r={},s={},i=[],o=(b,y,x,w,I,T)=>{(w==null||I==null||T==null)&&(w=b.sourceLayer,I=b.nodeIndex,T=b.tensorIndex);let C=w.inboundNodes[I];if(x.indexOf(C)!==-1)throw new Wa(`The tensor ${b.name} at layer "${w.name}" is part of a cycle.`);if(y.indexOf(C)!==-1)return;this.containerNodes.add(Qa.nodeKey(w,I)),w.id in s||(s[w.id]=Object.keys(s).length),x.indexOf(C)===-1&&x.push(C);let E=C.inboundLayers.length;for(let A=0;A=0;)x.splice(x.indexOf(C),1);i.push(C)},l=[],u=[];for(let b of this.outputs)o(b,l,u);let p=i.slice().reverse();for(let b of p){n[b.id]=b,b.id in t||(t[b.id]=0);let y=t[b.id],x=a[b.outboundLayer.id]==null?0:a[b.outboundLayer.id];y=Math.max(y,x),a[b.outboundLayer.id]=y,r[b.outboundLayer.id]=b.outboundLayer,t[b.id]=y;for(let w=0;wparseInt(b,10)).sort(jd);this.layers=[];for(let b of h){let y=c[b];y.sort((x,w)=>{let I=s[x.id],T=s[w.id];return IT?1:0});for(let x of y)x instanceof Qa&&this.internalContainerRefs.push(x),this.layers.push(x)}this.layersByDepth=c,h=Object.keys(d).map(b=>parseInt(b,10)).sort(jd);let m=this.inputs.slice(),f=[];for(let b of h)for(let y of d[b]){let x=y.outboundLayer;if(x!=null){for(let w of y.inputTensors)if(m.indexOf(w)===-1)throw new Wa(`Graph disconnected: cannot obtain value for tensor ${w} at layer "${x.name}". The following previous layers were accessed without issue: ${f}`);for(let w of y.outputTensors)m.push(w);f.push(x.name)}}this.nodesByDepth=d;let g=this.layers.map(b=>b.name);for(let b of g){let y=g.filter(x=>x===b).length;if(y!==1)throw new Wa(`The name "${b}" is used ${y} times in the model. All layer names should be unique. Layer names: `+JSON.stringify(g))}this.outboundNodes=[],this.inboundNodes=[],new kf({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:this.inputs.map(b=>null),outputMasks:this.outputs.map(b=>null),inputShapes:this.inputs.map(b=>b.shape),outputShapes:this.outputs.map(b=>b.shape)}),this.built=!0,this._refCount=1}assertNotDisposed(){if(this._refCount===0)throw new Error(`Container '${this.name}' is already disposed.`)}dispose(){this.assertNotDisposed();let e={refCountAfterDispose:null,numDisposedVariables:0};if(--this._refCount===0){for(let t of this.layers)e.numDisposedVariables+=t.dispose().numDisposedVariables;for(let t of this.internalContainerRefs)e.numDisposedVariables+=t.dispose().numDisposedVariables}return e.refCountAfterDispose=this._refCount,e}get trainable(){return this.trainable_}set trainable(e){this.layers.forEach(t=>{t._trainableWeights.forEach(n=>n.trainable=e)}),this.trainable_=e}get trainableWeights(){if(this._trainableWeights.length>0)throw new V("Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];let e=[];for(let t of this.layers)e=e.concat(t.trainableWeights);return e}get nonTrainableWeights(){let e=[];for(let t of this.layers)e.push(...t.nonTrainableWeights);if(!this.trainable){let t=[];for(let n of this.layers)t.push(...n.trainableWeights);return t.concat(e)}return e}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}loadWeights(e,t=!0){let n={},a=0;for(let s of this.layers)for(let i of s.weights){if(n[i.originalName]!=null)throw new V(`Duplicate weight name: ${i.originalName}`);n[i.originalName]=i,a++}let r=[];for(let s in e){let i=s;if(n[s]==null){let o=s.split("/");i=o.slice(0,-2).concat([o[o.length-1]]).join("/")}if(n[i]!=null)r.push([n[i],e[s]]);else if(t)throw new V(`Provided weight data has no target variable: ${s}`);delete n[i]}if(t){let s=[];for(let i in n)s.push(i);if(s.length>0)throw new V(`${s.length} of ${a} weights are not set: ${s}`)}nw(r)}updatedConfig(){let e=this.getConfig(),t={};return t.className=this.getClassName(),t.config=e,t.kerasVersion=`tfjs-layers ${dw}`,t.backend="TensorFlow.js",t}toJSON(e,t=!0){let n=By(this.updatedConfig());return t?JSON.stringify(n):n}call(e,t){return P(()=>{e=bt(e);let n=new Hs;for(let a=0;a{e=bt(e);let n;return t==null?n=oi(null,e.length):n=bt(t),this.runInternalGraph(e,n)[1]})}computeOutputShape(e){let t=Th(e);if(t.length!==this.inputLayers.length)throw new V(`Invalid inputShape argument ${e}: model has ${this.inputLayers.length} tensor inputs.`);let n={};for(let i=0;iparseInt(i,10)).sort(jd);if(a.length>1)for(let i of a){let o=this.nodesByDepth[i];for(let l of o){let u=l.outboundLayer;if(this.inputLayers.map(m=>m.id).indexOf(u.id)!==-1)continue;let p=[];for(let m=0;mparseInt(o,10)).sort(jd);for(let o of a){let l=this.nodesByDepth[o];for(let u of l){let p=u.outboundLayer,d=u.inputTensors,c=u.outputTensors,h=new Array;for(let m of d)m.id in n&&h.push(n[m.id]);if(h.length===d.length){let m={},f,g,b,y;if(u.callArgs!=null&&(m=u.callArgs),h.length===1){let[x,w]=h[0];m.mask==null&&(m.mask=w),b=bt(p.call(x,m)),y=bt(p.computeMask(x,w)),f=[x],g=[w]}else f=h.map(x=>x[0]),g=h.map(x=>x[1]),m.mask==null&&(m.mask=g),b=bt(p.call(f,m)),y=bt(p.computeMask(f,g));if(p.activityRegularizer)throw new Re("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(let x=0;x{let e=[];for(let t of this.layers)for(let n=0;n0){let m=[];for(let f=0;f0&&f.apply(On(b),y)}function l(f){let g=f.name,b=Ua(f,t.customObjects!=null?t.customObjects:{});b.setFastWeightInitDuringBuild(a),r[g]=b,f.inboundNodes.forEach(y=>{if(!(y instanceof Array))throw new V(`Corrupted configuration, expected array for nodeData: ${y}`);i(b,y)})}let u=t.name,p=t.layers;for(let f of p)l(f);for(;!A4(s);)for(let f of p){let g=r[f.name];if(g.name in s){let b=s[g.name];delete s[g.name];for(let y of b)o(g,y)}}let d=[],c=[],h=t.inputLayers;for(let f of h){let g=f[0],b=f[1],y=f[2];tr(g in r);let x=r[g].inboundNodes[b].outputTensors;d.push(x[y])}let m=t.outputLayers;for(let f of m){let g=f[0],b=f[1],y=f[2];tr(g in r);let x=r[g].inboundNodes[b].outputTensors;c.push(x[y])}return new e({inputs:d,outputs:c,name:u})}get stateful(){if(this._stateful)throw new V("Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");for(let e of this.layers)if(e.stateful)return!0;return!1}resetStates(){P(()=>{this.layers.forEach(e=>{e.stateful&&e.resetStates()})})}};function nU(e,t,n){let a=t.length;if(e==null||Array.isArray(e)&&e.length===0)return t.map(r=>null);if(a===1)return Array.isArray(e)&&e.length===1?e:typeof e=="object"&&t[0]in e?[e[t[0]]]:[e];if(Array.isArray(e)){if(e.length!==a)throw new Error(`Provided ${n} is an array of ${e.length} element(s), but the model has ${a} outputs. Make sure a set of weights is provided for each model output.`);return e}else if(typeof e=="object"&&Object.keys(e).length>0&&typeof e[Object.keys(e)[0]]=="object"){let r=[];return t.forEach(s=>{s in e?r.push(e[s]):r.push(null)}),r}else throw new Error(`The model has multiple (${a}) outputs, so ${n} must be either an array with ${a} elements or an object with ${t} keys. Provided ${n} not understood: ${JSON.stringify(e)}`)}function dN(e,t){return nU(e,t,"classWeight")}async function hN(e,t,n,a){if(t!=null||a!=null)throw new Error("Support sampleWeight is not implemented yet");if(n!=null){let r=P(()=>{if(e.shape.length===1)return rr(e);if(e.shape.length===2){if(e.shape[1]>1)return ai(e,1);if(e.shape[1]===1)return W(e,[e.shape[0]]);throw new Error(`Encountered unexpected last-dimension size (${e.shape[1]}) during handling of class weights. The size is expected to be >= 1.`)}else throw new Error(`Unexpected rank of target (y) tensor (${e.rank}) during handling of class weights. The rank is expected to be 1 or 2.`)}),s=Array.from(await r.data());_e(r);let i=[];return s.forEach(o=>{if(n[o]==null)throw new Error(`classWeight must contain all classes in the training data. The class ${o} exists in the data but not in classWeight`);i.push(n[o])}),Ke(i,"float32")}else return null}function aU(e,t){return z(e,t)}var rU=32;function mN(e,t){let n,a,r=t;n=r.xs,a=r.ys,v.assert(n!=null&&a!=null,()=>`A Dataset iterator for fitDataset() is expected to generate objects of the form \`{xs: xVal, ys: yVal}\`, where the two values may be \`tf.Tensor\`, an array of Tensors, or a map of string to Tensor. The provided Dataset instead generates ${t}`);let s=yk("input",e.inputNames,n),i=yk("output",e.outputNames,a),o=s[0].shape[0];v.assert(s.length===e.inputs.length,()=>`LayersModel has ${e.inputs.length} inputs, but the dataset provides ${s.length} inputs. (Expected input keys: ${JSON.stringify(e.inputNames)})`),v.assert(i.length===e.outputs.length,()=>`LayersModel has ${e.outputs.length} outputs, but the dataset provides ${i.length} outputs. (Expected output keys: ${JSON.stringify(e.outputNames)})`);for(let l=0;l`Batch size mismatch: input ${e.inputNames[l]} has ${s[l].shape[0]}; expected ${o} based on input ${e.inputNames[0]}.`);for(let l=0;l`Batch size mismatch: output ${e.outputNames[l]} has ${i[l].shape[0]}; expected ${o} based on input ${e.inputNames[0]}.`);return{xs:s,ys:i}}function yk(e,t,n){if(n instanceof Te)return[n];if(Array.isArray(n))return v.assert(n.length===t.length,()=>`Received an array of ${n.length} Tensors, but expected ${t.length} to match the ${e} keys ${t}.`),n;{let a=[];for(let r of t){if(n[r]==null)throw new V(`The feature data generated by the dataset lacks the required ${e} key '${r}'.`);a.push(n[r])}return a}}function sU(e){if(e.length===3)throw new Re("Validation with sample weights is not implemented yet.");return{xs:e[0],ys:e[1]}}async function iU(e,t,n){let a=n.batchesPerEpoch!=null;if(v.assert(e.optimizer!=null,()=>"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig)."),v.assert(n!=null,()=>"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."),v.assert(n.epochs!=null&&n.epochs>0&&Number.isInteger(n.epochs),()=>`For fitDataset(), config.epochs is expected to be a positive integer, but got ${n.epochs}`),v.assert(!a||n.batchesPerEpoch>0&&Number.isInteger(n.batchesPerEpoch),()=>`For fitDataset(), config.batchesPerEpoch is expected to be a positive integer if specified, but got ${n.batchesPerEpoch}`),v.assert(n.validationSplit==null,()=>"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."),e.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");e.isTraining=!0;try{let r=n.validationData!=null,s,i;if(r)if(xk(n.validationData))v.assert(n.validationBatches==null||n.validationBatches>0&&Number.isInteger(n.validationBatches),()=>`For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, but got ${n.validationBatches}`);else{let g=sU(n.validationData);s=g.xs,i=g.ys}let o=e.makeTrainFunction(),l=e.getDedupedMetricsNames(),u;r?u=l.slice().concat(l.map(g=>"val_"+g)):u=l.slice();let p=rN(n.callbacks,n.yieldEvery),d=n.verbose==null?1:n.verbose,{callbackList:c,history:h}=sN(p,d,n.epochs,null,null,oU(t,n),null,r,u);c.setModel(e),e.history=h,await c.onTrainBegin(),e.stopTraining_=!1;let m=n.initialEpoch==null?0:n.initialEpoch,f=await t.iterator();for(;m=n.batchesPerEpoch:x.done){if(r){let w;xk(n.validationData)?w=bt(await e.evaluateDataset(n.validationData,{batches:n.validationBatches})):w=bt(e.evaluate(s,i,{batchSize:n.validationBatchSize==null?rU:n.validationBatchSize,verbose:0}));for(let I=0;I0)throw new Re("Verbose mode is not implemented yet.");v.assert(!a||n.batches>0&&Number.isInteger(n.batches),()=>`Test loop expects \`batches\` to be a positive integer, but received ${JSON.stringify(n.batches)}`);let i=lU(t)?t:await t.iterator(),o=0,l=0;for(;!a||l{if(u.value){let{xs:p,ys:d}=mN(e,u.value),c=p.concat(d),h=P(()=>r(c));if(_e(c),l===0)for(let f=0;fY(s[f],z(m,g))),l>0&&_e(b)}_e(h),o+=m,++l}return s}),u.done){a&&console.warn(`Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least \`batches\` batches (in this case, ${n.batches} batches). You may need to use the repeat() function when building your dataset.`);break}}for(let u=0;u0&&Number.isInteger(e),()=>`batchSize is required to be a positive integer, but got ${e}`)}function Ap(e,t,n){return e==null?[null]:Array.isArray(e)?e.map(a=>Ys(a,t,n-t)):Ys(e,t,n-t)}function hw(e,t){return P(()=>e==null?null:Array.isArray(e)?e.map(n=>hw(n,t)):jT(e,t.dtype==="int32"?t:oe(t,"int32")))}function Uy(e,t){let n=[],a=0,r=null;for(;a=e&&(r=e),n.push([a,r]),a=r;return n}async function pU(e,t,n,a,r,s,i,o,l,u,p,d,c,h,m){r==null&&(r=32),s==null&&(s=1),p==null&&(p=!0),c==null&&(c=0);let f=!1;if(l!=null&&u!=null&&(f=!0),m!=null&&(f=!0,h==null))throw new V("Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.");let g=e.checkNumSamples(n,r,h,"steps_per_epoch"),b;g!=null&&(b=Ha(0,g)),i==null&&(i=1);let{callbackList:y,history:x}=sN(o,i,s,c,g,h,r,f,d);y.setModel(e),e.history=x,await y.onTrainBegin(),e.stopTraining_=!1;for(let w=c;w{let R=C[E][0],F=C[E][1],S=Ys(T,R,F-R);A.batch=E,A.size=F-R;let M=hw(n,S),B=t(M);for(let U=0;U0){if(g=!0,a.validationData.length===2)l=a.validationData[0],u=a.validationData[1];else throw a.validationData.length===3?new Re("validationData including sample weights is not supported yet."):new V(`When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; ${a.validationData} is invalid.`);let E=!0,A=await e.standardizeUserData(l,u,null,null,E,h);p=A[0],d=A[1],b=p.concat(d)}else if(a.validationSplit!=null&&a.validationSplit>0&&a.validationSplit<1){g=!0;let E=Math.floor(r[0].shape[0]*(1-a.validationSplit)),A=r[0].shape[0];p=Ap(r,E,A),i=r,r=Ap(r,0,E),d=Ap(s,E,A),o=s,s=Ap(s,0,E),b=p.concat(d)}else a.validationSteps!=null&&(g=!0);let y=r.concat(s).concat(c);e.checkTrainableWeightsConsistency();let x=e.makeTrainFunction(),w=e.getDedupedMetricsNames(),I,T;g?(e.makeTestFunction(),I=e.testFunction,T=w.slice().concat(w.map(E=>"val_"+E))):(I=null,b=[],T=w.slice());let C=rN(a.callbacks,a.yieldEvery);return await pU(e,x,y,w,h,a.epochs,a.verbose,C,I,b,a.shuffle,T,a.initialEpoch,null,null)}finally{e.isTraining=!1,La(r,t),La(s,n),La(i,t),La(o,n),La(p,l),La(d,u),c!=null&&_e(c)}}function fN(e){let t=[];e instanceof Te&&(e=[e]);for(let n=0;nn.push(r.id));else if(t!=null)for(let r in t){let s=t[r];n.push(s.id)}let a=[];if(e instanceof Te)n.indexOf(e.id)===-1&&a.push(e);else if(Array.isArray(e))e.forEach(r=>{n.indexOf(r.id)===-1&&a.push(r)});else if(e!=null)for(let r in e){let s=e[r];n.indexOf(s.id)===-1&&a.push(s)}a.forEach(r=>{r.isDisposed||r.dispose()})}function dU(e){return e instanceof Te}function Gy(e){return Array.isArray(e)}function vk(e){return!dU(e)&&!Gy(e)}function wk(e,t,n,a=!0,r=""){if(t==null||t.length===0){if(e!=null){let i=!1;if(Gy(e)&&e.length>0)i=!0;else if(vk(e)){for(let o in e)if(e.hasOwnProperty(o)){i=!0;break}}else i=!0;if(i)throw new V(`Error when checking model ${r} expected no data, but got ${e}`)}return[]}if(e==null)return t.map(i=>null);let s;if(vk(e)){e=e,s=[];for(let i of t){if(e[i]==null)throw new V(`No data provided for "${i}". Need data for each key in: ${t}`);s.push(e[i])}}else if(Gy(e)){if(e=e,e.length!==t.length)throw new V(`Error when checking model ${r}: the Array of Tensors that you are passing to your model is not the size the model expected. Expected to see ${t.length} Tensor(s), but instead got the following list of Tensor(s): ${e}`);s=e}else{if(e=e,t.length>1)throw new V(`The model ${r} expects ${t.length} Tensor(s), but only received one Tensor. Found: Tensor with shape ${e.shape}`);s=[e]}if(s=fN(s),n!=null)for(let i=0;i=0&&u!==p)throw new V(`${r} expected a batch of elements where each example has shape [${n[i].slice(1,n[i].length)}] (i.e.,tensor shape [*,${n[i].slice(1,n[i].length)}]) but the ${r} received an input with ${o.shape[0]} examples, each with shape [${o.shape.slice(1,o.shape.length)}] (tensor shape [${o.shape}])`)}}return s}function hU(e,t,n){let a=Jr(e.map(s=>s.shape[0]));a.sort();let r=Jr(t.map(s=>s.shape[0]));if(r.sort(),a.length>1)throw new V(`All input Tensors (x) should have the same number of samples. Got array shapes: ${JSON.stringify(e.map(s=>s.shape))}`);if(r.length>1)throw new V(`All target Tensors (y) should have the same number of samples. Got array shapes: ${JSON.stringify(t.map(s=>s.shape))}`);if(a.length>0&&r.length>0&&!v.arraysEqual(a,r))throw new V(`Input Tensors should have the same number of samples as target Tensors. Found ${a[0]} input sample(s) and ${r[0]} target sample(s).`)}function mU(e,t,n){let a=[yo,Sf,Xp];for(let r=0;r1)throw new V(`The model expects ${t.length} ${r} Tensors, but only received one Tensor. Found: array with shape ${JSON.stringify(e.shape)}.`);s=[e]}if(n!=null)for(let i=0;i[]);let n;if(typeof e=="string"||typeof e=="function")n=[e];else if(Array.isArray(e)||typeof e=="object")n=e;else throw new TypeError(`Type of metrics argument not understood. Expected an string,function, Array, or Object, found: ${e}`);if(Array.isArray(n))return t.map(a=>n);{let a=[];for(let r of t){let s=n.hasOwnProperty(r)?n[r]:[];Array.isArray(s)||(s=[s]),a.push(s)}return a}}var gU="layers-model",Nr=class extends Qa{constructor(e){super(e),this.isTraining=!1}summary(e,t,n=console.log){if(!this.built)throw new V("This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).");ZV(this,e,t,n)}compile(e){if(e.loss==null&&(e.loss=[]),this.loss=e.loss,typeof e.optimizer=="string")this.optimizer_=YV(e.optimizer),this.isOptimizerOwned=!0;else{if(!(e.optimizer instanceof $r))throw new V("User-defined optimizer must be an instance of tf.Optimizer.");this.optimizer_=e.optimizer,this.isOptimizerOwned=!1}let t=[];if(!Array.isArray(e.loss)&&typeof e.loss!="string"&&typeof e.loss!="function"){e.loss=e.loss;for(let s in e.loss)if(this.outputNames.indexOf(s)===-1)throw new V(`Unknown entry in loss dictionary: "${s}". Only expected the following keys: ${this.outputNames}`);for(let s of this.outputNames)e.loss[s]==null&&console.warn(`Output "${s}" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data to be passed to ${s} during training`),t.push(dy(e.loss[s]))}else if(Array.isArray(e.loss)){if(e.loss.length!==this.outputs.length)throw new V(`When passing an Array as loss, it should have one entry per model output. The model has ${this.outputs.length} output(s), but you passed loss=${e.loss}.`);t=e.loss.map(s=>dy(s))}else{let s=dy(e.loss);this.outputs.forEach(i=>{t.push(s)})}this.lossFunctions=t,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(let s=0;s{for(let s=0;s1&&(this.metricsTensors.push([i,s]),this.metricsNames.push(this.outputNames[s]+"_loss"))}});let a=fU(e.metrics,this.outputNames),r=(s,i,o)=>{this.outputNames.length>1&&(i=this.outputNames[s]+"_"+i),this.metricsNames.push(i),this.metricsTensors.push([o,s])};Xs("metric",()=>{for(let s=0;s{let l="",u,p,d;for(let c of o){if(typeof c=="string"&&["accuracy","acc","crossentropy","ce"].indexOf(c)!==-1){let m=this.internalOutputShapes[s];m[m.length-1]===1||this.lossFunctions[s]===Sf?["accuracy","acc"].indexOf(c)!==-1?p=uw:["crossentropy","ce"].indexOf(c)!==-1&&(p=lN):this.lossFunctions[s]===Ah?["accuracy","acc"].indexOf(c)!==-1?p=uN:["crossentropy","ce"].indexOf(c)!==-1&&(p=pN):["accuracy","acc"].indexOf(c)!==-1?p=pw:["crossentropy","ce"].indexOf(c)!==-1&&(p=cw);let f;["accuracy","acc"].indexOf(c)!==-1?f="acc":["crossentropy","ce"].indexOf(c)!==-1&&(f="ce"),d=p,u=l+f}else d=XV(c),u=l+Xd(c);let h;Xs(u,()=>{h=d}),r(s,u,h)}})(i)}}),this.collectedTrainableWeights=this.trainableWeights}checkTrainableWeightsConsistency(){this.collectedTrainableWeights!=null&&this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn("Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?")}evaluate(e,t,n={}){let a=n.batchSize==null?32:n.batchSize;Vy(a);let r=!0,s=this.standardizeUserDataXY(e,t,r,a);try{let i=s[0].concat(s[1]);this.makeTestFunction();let o=this.testFunction,l=this.testLoop(o,i,a,n.verbose,n.steps);return On(l)}finally{La(s[0],e),La(s[1],t)}}async evaluateDataset(e,t){return this.makeTestFunction(),uU(this,e,t)}checkNumSamples(e,t,n,a="steps"){let r;if(n!=null){if(r=null,t!=null)throw new V(`If ${a} is set, batchSize must be null or undefined.Got batchSize = ${t}`)}else if(e!=null)Array.isArray(e)?r=e[0].shape[0]:r=e.shape[0];else throw new V(`Either the input data should have a defined shape, or ${a} shoud be specified.`);return r}execute(e,t){if(Array.isArray(t)&&t.length===0)throw new V("`outputs` is an empty Array, which is not allowed.");let n=Array.isArray(t),a=n?t:[t],r=this.retrieveSymbolicTensors(a),s=new Hs;if(e instanceof Te&&(e=[e]),Array.isArray(e)){if(e.length!==this.inputs.length)throw new V(`The number of inputs provided (${e.length}) does not match the number of inputs of this model (${this.inputs.length}).`);for(let o=0;oi.name);for(let i=0;i0){let a=[];throw t.forEach((r,s)=>{r==null&&a.push(e[s])}),new V(`Cannot find SymbolicTensors for output name(s): ${JSON.stringify(a)}`)}return t}predictLoop(e,t=32,n=!1){return P(()=>{let a=this.checkNumSamples(e);if(n)throw new Re("Verbose predictLoop() is not implemented yet.");let r=Uy(a,t),s=this.outputs.map(i=>[]);for(let i=0;i{let o=r[i][0],l=r[i][1],u=Ap(e,o,l),p=[];if(Array.isArray(u))for(let c=0;cs[l].push(o));return On(s.map(i=>Ze(i,0)))})}predict(e,t={}){let n=fN(e);kk(n,this.inputNames,this.feedInputShapes,!1);try{let a=t.batchSize==null?32:t.batchSize;return Vy(a),this.predictLoop(n,a)}finally{La(n,e)}}predictOnBatch(e){kk(e,this.inputNames,this.feedInputShapes,!0);let t=(Array.isArray(e)?e[0]:e).shape[0];return this.predictLoop(e,t)}standardizeUserDataXY(e,t,n=!0,a){if(this.optimizer_==null)throw new Wa("You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).");let r=[];for(let s=0;s0&&e[0].shape[0]%a!==0)throw new V(`In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size ${a}. Found: ${e[0].shape[0]} sample(s).`);return[e,t]}async standardizeUserData(e,t,n,a,r=!0,s){let[i,o]=this.standardizeUserDataXY(e,t,r,s);if(n!=null)throw new Error("sample weight is not supported yet.");let l=null;if(a!=null){let u=dN(a,this.outputNames);l=[];for(let p=0;p{let s=this.checkNumSamples(t,n,r,"steps"),i=[];if(a>0)throw new Re("Verbose mode is not implemented yet.");if(r!=null)throw new Re("steps mode in testLoop() is not implemented yet");{let o=Uy(s,n),l=Ke(Ha(0,s));for(let u=0;u1&&(r+=`_${ok(e.slice(0,n),a)}`),t.push(r)}return t}makeTrainFunction(){return e=>{let t=[],n=e.slice(0,this.inputs.length),a=e.slice(this.inputs.length,this.inputs.length+this.outputs.length),r=e.slice(this.inputs.length+this.outputs.length,this.inputs.length+this.outputs.length*2),s=[],i=()=>{let u=[];for(let h=0;h1&&h{c=Y(c,h)}),c},o=this.collectedTrainableWeights.map(u=>u.read()),l=!0;return[this.optimizer_.minimize(i,l,o)].concat(s)}}makeTestFunction(){this.testFunction=e=>P(()=>{let t=[],n,a=e.slice(0,this.inputs.length),r=e.slice(this.inputs.length,this.inputs.length+this.outputs.length),s=[];for(let l=0;lwr(t))}else{let t=Object.keys(this.loss);e={};let n=this.loss;for(let a of t)if(typeof n[a]=="string")e[a]=wr(n[a]);else throw new Error("Serialization of non-string loss is not supported.")}return e}getMetricIdentifiers(){if(typeof this.metrics=="string"||typeof this.metrics=="function")return[wr(Xd(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map(e=>wr(Xd(e)));{let e={};for(let t in this.metrics)e[t]=wr(Xd(this.metrics[t]));return e}}getTrainingConfig(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}}loadTrainingConfig(e){if(e.weighted_metrics!=null)throw new Error("Loading weight_metrics is not supported yet.");if(e.loss_weights!=null)throw new Error("Loading loss_weights is not supported yet.");if(e.sample_weight_mode!=null)throw new Error("Loading sample_weight_mode is not supported yet.");let t=Yp(e.optimizer_config),n=Ua(t),a;if(typeof e.loss=="string")a=Vs(e.loss);else if(Array.isArray(e.loss))a=e.loss.map(s=>Vs(s));else if(e.loss!=null){a={};for(let s in e.loss)a[s]=Vs(e.loss[s])}let r;if(Array.isArray(e.metrics))r=e.metrics.map(s=>Vs(s));else if(e.metrics!=null){r={};for(let s in e.metrics)r[s]=Vs(e.metrics[s])}this.compile({loss:a,metrics:r,optimizer:n})}async save(e,t){if(typeof e=="string"){let i=Ut.getSaveHandlers(e);if(i.length===0)throw new V(`Cannot find any save handlers for URL '${e}'`);if(i.length>1)throw new V(`Found more than one (${i.length}) save handlers for URL '${e}'`);e=i[0]}if(e.save==null)throw new V("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");let n=await Ut.encodeWeights(this.getNamedWeights(t)),a=!1,r=null,s={modelTopology:this.toJSON(r,a),format:gU,generatedBy:`TensorFlow.js tfjs-layers v${dw}`,convertedBy:null};if((t==null?!1:t.includeOptimizer)&&this.optimizer!=null){s.trainingConfig=this.getTrainingConfig();let i="optimizer",{data:o,specs:l}=await Ut.encodeWeights(await this.optimizer.getWeights(),i);n.specs.push(...l),n.data=Ut.concatenateArrayBuffers([n.data,o])}return this.userDefinedMetadata!=null&&(bk(this.userDefinedMetadata,this.name,!0),s.userDefinedMetadata=this.userDefinedMetadata),s.weightData=n.data,s.weightSpecs=n.specs,e.save(s)}setUserDefinedMetadata(e){bk(e,this.name),this.userDefinedMetadata=e}getUserDefinedMetadata(){return this.userDefinedMetadata}};Nr.className="Model";ne.registerClass(Nr);var gN=class extends Nr{};gN.className="Functional";ne.registerClass(gN);async function bU(e,t){"modelTopology"in e||(e={modelTopology:e}),e=e;let n=e.modelTopology;n.model_config!=null&&(n=n.model_config);let a=Yp(n),r=Ua(a,t);if(e.weightsManifest!=null){let s=await Ut.loadWeights(e.weightsManifest,e.pathPrefix,r.weights.map(o=>o.originalName)),i={};for(let o of r.weights)i[o.originalName]=s[o.originalName];r.loadWeights(i),_e(s)}return r}async function yU(e,t){if(t==null&&(t={}),typeof e=="string"){let n=Ut.getLoadHandlers(e,t);if(n.length===0)n.push(Ut.browserHTTPRequest(e,t));else if(n.length>1)throw new V(`Found more than one (${n.length}) load handlers for URL '${e}'`);e=n[0]}return xU(e,void 0,t)}async function xU(e,t,n){if(n==null&&(n={}),e.load==null)throw new V("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let a=await e.load(),r=a.modelTopology;r.model_config!=null&&(r=r.model_config);let s=n.strict==null?!0:n.strict,i=a.weightData!=null&&a.weightSpecs!=null&&s,o=Ua(Yp(r),t,i),l=a.trainingConfig;if(l!=null&&o.loadTrainingConfig(l),a.userDefinedMetadata!=null&&o.setUserDefinedMetadata(a.userDefinedMetadata),a.weightData!=null){if(a.weightSpecs==null)throw new V("LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.");let{modelWeights:u,optimizerWeights:p}=vU(a.weightData,a.weightSpecs);o.loadWeights(u,s),o.optimizer!=null&&p.length>0&&await o.optimizer.setWeights(p),_e(u),_e(p.map(d=>d.tensor))}return o}function vU(e,t){let n=Ut.decodeWeights(e,t),a={},r=[];return t.forEach(s=>{s.group==="optimizer"?r.push({name:s.name,tensor:n[s.name]}):a[s.name]=n[s.name]}),{modelWeights:a,optimizerWeights:r}}var hl=class extends Nr{constructor(e){if(super({inputs:[],outputs:[]}),e=e||{},this.trainable=!0,this.built=!1,this.name=e.name!=null?e.name:hf("sequential_"),e.layers!=null)for(let t of e.layers)this.add(t)}checkShape(e){if(e.inboundNodes[0].outputTensors[0].shape.some(t=>t<0))throw new V(`Negative dimension size caused by adding layer ${e.name} with input shape [${e.inboundNodes[0].inputTensors[0].shape}]`)}add(e){let t=e instanceof hl||e instanceof Nr,n;if(t){if(n=e,n.outputs.length!==1)throw new V("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");if(n.inputs.length!==1)throw new V("All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.")}if(this.outputs.length===0){if(e.inboundNodes.length===0){if(e.batchInputShape==null)throw new V("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");let a=YT({batchShape:e.batchInputShape,dtype:e.dtype,name:e.name+"_input"});e.apply(a)}if(t)this.outputs=n.outputs,this.inputs=n.inputs;else{if(e.inboundNodes.length!==1)throw new V(`A layer added to a Sequential model must not already be connected somewhere else. LayersModel received layer ${e.name} which has ${e.inboundNodes.length} pre-existing inbound connections.`);if(e.inboundNodes[0].outputTensors.length!==1)throw new V("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[e.inboundNodes[0].outputTensors[0]],this.inputs=XT(this.outputs[0])}this.inboundNodes=[],new kf({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:oi(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(a=>a.shape),outputShapes:this.outputs[0].shape})}else{let a=e.apply(this.outputs[0]);if(Array.isArray(a))throw new TypeError("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[a],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(e),this.built=!1}pop(){if(this.layers.length===0)throw new TypeError("There are no layers in the model.");if(this.layers.pop(),this.layers.length===0)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{let e=this.layers.length-1;this.layers[e].outboundNodes=[],this.outputs=[this.layers[e].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}}call(e,t){return this.model==null&&this.build(),this.model.call(e,t)}build(e){if(Qe(e),this.inputs.length===0||this.outputs.length===0)throw new TypeError("Sequential model cannot be built: model is empty. Add some layers first.");this.model=new Nr({inputs:this.inputs,outputs:this.outputs[0],name:this.name+"_model"}),this.model.trainable=this.trainable,this.supportsMasking=this.model.supportsMasking,this.inputLayers=this.model.inputLayers,this.inputLayersNodeIndices=this.model.inputLayersNodeIndices,this.inputLayersTensorIndices=this.model.inputLayersTensorIndices,this.outputLayers=this.model.outputLayers,this.outputLayersNodeIndices=this.model.outputLayersNodeIndices,this.outputLayersTensorIndices=this.model.outputLayersTensorIndices,this.nodesByDepth=this.model.nodesByDepth,this.containerNodes=this.model.containerNodes,this.outputNames=this.model.outputNames,this.inputNames=this.model.inputNames,this.built=!0}countParams(){return this.built||this.build(),super.countParams()}summary(e,t,n=console.log){this.built||this.build(),super.summary(e,t,n)}setWeights(e){this.model==null&&this.build(),this.model.setWeights(e)}evaluate(e,t,n={}){if(!this.built)throw new Wa("The model needs to be compiled before being used.");return this.model.evaluate(e,t,n)}async evaluateDataset(e,t){if(!this.built)throw new Wa("The model needs to be compiled before being used.");return this.model.evaluateDataset(e,t)}predict(e,t={}){return this.model==null&&this.build(),this.model.predict(e,t)}predictOnBatch(e){return this.model==null&&this.build(),this.model.predictOnBatch(e)}compile(e){this.build(),this.model.compile(e),this.optimizer_=this.model.optimizer,this.isOptimizerOwned=this.model.isOptimizerOwned,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames}get optimizer(){return this.model==null?void 0:this.model.optimizer}set optimizer(e){this.model.optimizer=e}async fit(e,t,n={}){if(!this.built)throw new Wa("The model needs to be compiled before being used.");return this.model.fit(e,t,n)}async fitDataset(e,t){if(!this.built)throw new Wa("The model needs to be compiled before being used.");return this.model.fitDataset(e,t)}async trainOnBatch(e,t){return this.model.trainOnBatch(e,t)}static fromConfig(e,t,n={},a=!1){let r,s={};if(t instanceof Array){if(t[0].className==null||t[0].className==="Merge")throw new V("Legacy serialization format not supported yet.");r=t}else v.assert(t.layers!=null,()=>"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field."),r=t.layers,delete t.layers,s=t;let i=new e(s);if(!(i instanceof hl))throw new Re(`Sequential.fromConfig called on non-Sequential input: ${i}`);for(let o of r){let l=Ua(o,void 0,a);a&&l.setFastWeightInitDuringBuild(!0),i.add(l)}return i}set stopTraining(e){if(this.model==null)throw new V("Cannot set the stopTraining property of a sequential model before it is compiled.");this.model.stopTraining=e}get stopTraining(){if(this.model==null)throw new V("Cannot get the stopTraining property of a sequential model before it is compiled.");return this.model.stopTraining}getConfig(){let e=[];for(let t of this.layers){let n={};n.className=t.getClassName(),n.config=t.getConfig(),e.push(n)}return{name:this.name,layers:e}}};hl.className="Sequential";ne.registerClass(hl);function wU(e){return new Nr(e)}function kU(e){return new hl(e)}function bN(e){return YT(e)}function IU(e,t){Ta.registerCallbackConstructor(e,t)}var Un=class extends ne.Serializable{getConfig(){return{}}},yN=class extends Un{apply(e,t=1){return H4(e,t)}};yN.className="elu";ne.registerClass(yN);var xN=class extends Un{apply(e){return qm(e)}};xN.className="selu";ne.registerClass(xN);var vN=class extends Un{apply(e){return Xe(e)}};vN.className="relu";ne.registerClass(vN);var wN=class extends Un{apply(e){return P(()=>Au(6,Xe(e)))}};wN.className="relu6";ne.registerClass(wN);var kN=class extends Un{apply(e){return e}};kN.className="linear";ne.registerClass(kN);var IN=class extends Un{apply(e){return da(e)}};IN.className="sigmoid";ne.registerClass(IN);var SN=class extends Un{apply(e){return q4(e)}};SN.className="hardSigmoid";ne.registerClass(SN);var TN=class extends Un{apply(e){return ho(e)}};TN.className="softplus";ne.registerClass(TN);var NN=class extends Un{apply(e){return j4(e)}};NN.className="softsign";ne.registerClass(NN);var CN=class extends Un{apply(e){return ri(e)}};CN.className="tanh";ne.registerClass(CN);var mw=class extends Un{apply(e,t=-1){return Ka(e,t)}};mw.className="softmax";ne.registerClass(mw);var _N=class extends Un{apply(e,t=-1){return zm(e,t)}};_N.className="logSoftmax";ne.registerClass(_N);var EN=class extends Un{apply(e,t=1){return P(()=>z(da(z(e,t)),e))}};EN.className="swish";ne.registerClass(EN);var AN=class extends Un{apply(e){return P(()=>z(e,ri(ho(e))))}};AN.className="mish";ne.registerClass(AN);function rs(e){return e.getClassName()}function hy(e,t={}){return Vc(e,ne.SerializationMap.getMap().classNameMap,t,"activation")}function ss(e){if(e==null){let t={};return t.className="linear",t.config={},hy(t)}if(typeof e=="string"){let t={};return t.className=e,t.config={},hy(t)}else return e instanceof Un?e:hy(e)}function fw(e){if(e!=null&&typeof e!="object")throw new Error(`Argument to L1L2 regularizer's constructor is expected to be an object, but received: ${e}`)}var $N=class extends ne.Serializable{},qc=class extends $N{constructor(e){super(),fw(e),this.l1=e==null||e.l1==null?.01:e.l1,this.l2=e==null||e.l2==null?.01:e.l2,this.hasL1=this.l1!==0,this.hasL2=this.l2!==0}apply(e){return P(()=>{let t=It([1]);return this.hasL1&&(t=Y(t,fe(z(this.l1,Lt(e))))),this.hasL2&&(t=Y(t,fe(z(this.l2,Gc(e))))),W(t,[])})}getConfig(){return{l1:this.l1,l2:this.l2}}static fromConfig(e,t){return new e({l1:t.l1,l2:t.l2})}};qc.className="L1L2";ne.registerClass(qc);function SU(e){return fw(e),new qc({l1:e!=null?e.l1:null,l2:0})}function TU(e){return fw(e),new qc({l2:e!=null?e.l2:null,l1:0})}var Ik={l1l2:"L1L2"};function pt(e){return jv(e)}function Sk(e,t={}){return Vc(e,ne.SerializationMap.getMap().classNameMap,t,"regularizer")}function Tt(e){if(e==null)return null;if(typeof e=="string"){let t={className:e in Ik?Ik[e]:e,config:{}};return Sk(t)}else return e instanceof $N?e:Sk(e)}var gw=class extends Ge{constructor(e){super(e==null?{}:e),this.supportsMasking=!0,e!=null&&(this.maxValue=e.maxValue)}call(e,t){e=Ne(e);let n=Xe(e);return this.maxValue!=null&&(n=en(n,0,this.maxValue)),n}computeOutputShape(e){return e}getConfig(){let e={maxValue:this.maxValue},t=super.getConfig();return Object.assign(e,t),e}};gw.className="ReLU";ne.registerClass(gw);var bw=class extends Ge{constructor(e){super(e==null?{}:e),this.DEFAULT_ALPHA=.3,e==null&&(e={}),this.alpha=e.alpha==null?this.DEFAULT_ALPHA:e.alpha}call(e,t){let n=Ne(e);return Fc(n,this.alpha)}computeOutputShape(e){return e}getConfig(){let e={alpha:this.alpha},t=super.getConfig();return Object.assign(e,t),e}};bw.className="LeakyReLU";ne.registerClass(bw);var yw=class extends Ge{constructor(e){if(super(e==null?{}:e),this.DEFAULT_ALPHA_INITIALIZER="zeros",e==null&&(e={}),this.supportsMasking=!0,this.alphaInitializer=St(e.alphaInitializer||this.DEFAULT_ALPHA_INITIALIZER),this.alphaRegularizer=Tt(e.alphaRegularizer),this.alphaConstraint=Kt(e.alphaConstraint),e.sharedAxes==null)this.sharedAxes=null;else if(Array.isArray(e.sharedAxes))this.sharedAxes=e.sharedAxes;else if(typeof e.sharedAxes=="number")this.sharedAxes=[e.sharedAxes];else throw new V(`Expected sharedAxes to be a number or an array of numbers, but got ${e.sharedAxes}`)}build(e){e=Qe(e);let t=e.slice(1);if(this.sharedAxes!=null)for(let a of this.sharedAxes)t[a-1]=1;this.alpha=this.addWeight("alpha",t,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);let n={};if(this.sharedAxes!=null)for(let a=1;a(Rt(t),t==="channelsFirst"?Ee(e,[0,2,3,1]):e))}function FN(e,t){return P(()=>(Rt(t),t==="channelsFirst"?Ee(e,[0,2,3,4,1]):e))}function NU(e,t,n,a=1,r="valid",s,i=1){return P(()=>{if(s==null&&(s=ja()),Rt(s),e.shape.length!==3)throw new V(`The input of a conv1dWithBias operation should be 3, but is ${e.shape.length} instead.`);if(t.shape.length!==3)throw new V(`The kernel for a conv1dWithBias operation should be 3, but is ${t.shape.length} instead`);if(n!=null&&n.shape.length!==1)throw new V(`The bias for a conv1dWithBias operation should be 1, but is ${t.shape.length} instead`);if(s==="channelsFirst"&&(e=Ee(e,[0,2,1])),r==="causal")throw new Re("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");let o=Fm(e,t,a,r==="same"?"same":"valid","NWC",i);return n!=null&&(o=Xa(o,n)),o})}function Tk(e,t,n,a=[1,1],r="valid",s,i,o=null){return P(()=>{if(s==null&&(s=ja()),Rt(s),e.rank!==3&&e.rank!==4)throw new V(`conv2dWithBiasActivation expects input to be of rank 3 or 4, but received ${e.rank}.`);if(t.rank!==3&&t.rank!==4)throw new V(`conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received ${e.rank}.`);let l=kw(e,s);if(r==="causal")throw new Re("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return l=pl.conv2d({x:l,filter:t,strides:a,pad:r==="same"?"same":"valid",dilations:i,dataFormat:"NHWC",bias:n,activation:o}),s==="channelsFirst"&&(l=Ee(l,[0,3,1,2])),l})}function CU(e,t,n,a=[1,1,1],r="valid",s,i){return P(()=>{if(s==null&&(s=ja()),Rt(s),e.rank!==4&&e.rank!==5)throw new V(`conv3dWithBias expects input to be of rank 4 or 5, but received ${e.rank}.`);if(t.rank!==4&&t.rank!==5)throw new V(`conv3dWithBias expects kernel to be of rank 4 or 5, but received ${e.rank}.`);let o=FN(e,s);if(r==="causal")throw new Re("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return o=ov(o,t,a,r==="same"?"same":"valid","NDHWC",i),n!=null&&(o=Xa(o,n)),s==="channelsFirst"&&(o=Ee(o,[0,4,1,2,3])),o})}var Iw=class extends Ge{constructor(e,t){if(super(t),this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",Iw.verifyArgs(t),this.rank=e,Qt(this.rank,"rank"),this.rank!==1&&this.rank!==2&&this.rank!==3)throw new Re(`Convolution layer for rank other than 1, 2, or 3 (${this.rank}) is not implemented yet.`);if(this.kernelSize=el(t.kernelSize,e,"kernelSize"),this.strides=el(t.strides==null?1:t.strides,e,"strides"),this.padding=t.padding==null?"valid":t.padding,ya(this.padding),this.dataFormat=t.dataFormat==null?"channelsLast":t.dataFormat,Rt(this.dataFormat),this.activation=ss(t.activation),this.useBias=t.useBias==null?!0:t.useBias,this.biasInitializer=St(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.biasConstraint=Kt(t.biasConstraint),this.biasRegularizer=Tt(t.biasRegularizer),this.activityRegularizer=Tt(t.activityRegularizer),this.dilationRate=el(t.dilationRate==null?1:t.dilationRate,e,"dilationRate"),this.rank===1&&Array.isArray(this.dilationRate)&&this.dilationRate.length!==1)throw new V(`dilationRate must be a number or an array of a single number for 1D convolution, but received ${JSON.stringify(this.dilationRate)}`);if(this.rank===2){if(typeof this.dilationRate=="number")this.dilationRate=[this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==2)throw new V(`dilationRate must be a number or array of two numbers for 2D convolution, but received ${JSON.stringify(this.dilationRate)}`)}else if(this.rank===3){if(typeof this.dilationRate=="number")this.dilationRate=[this.dilationRate,this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==3)throw new V(`dilationRate must be a number or array of three numbers for 3D convolution, but received ${JSON.stringify(this.dilationRate)}`)}}static verifyArgs(e){if(tr("kernelSize"in e,"required key 'kernelSize' not in config"),typeof e.kernelSize!="number"&&!qv(e.kernelSize,"number",1,3))throw new V(`BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received ${JSON.stringify(e.kernelSize)}.`)}getConfig(){let e={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:rs(this.activation),useBias:this.useBias,biasInitializer:Ct(this.biasInitializer),biasRegularizer:pt(this.biasRegularizer),activityRegularizer:pt(this.activityRegularizer),biasConstraint:qt(this.biasConstraint)},t=super.getConfig();return Object.assign(e,t),e}},Kc=class extends Iw{constructor(e,t){super(e,t),this.kernel=null,Kc.verifyArgs(t),this.filters=t.filters,Qt(this.filters,"filters"),this.kernelInitializer=St(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.kernelConstraint=Kt(t.kernelConstraint),this.kernelRegularizer=Tt(t.kernelRegularizer)}build(e){e=Qe(e);let t=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[t]==null)throw new V(`The channel dimension of the input should be defined. Found ${e[t]}`);let n=e[t],a=this.kernelSize.concat([n,this.filters]);this.kernel=this.addWeight("kernel",a,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:{[t]:n}}],this.built=!0}call(e,t){return P(()=>{e=Ne(e);let n,a=this.bias==null?null:this.bias.read(),r=WT(this.activation.getClassName());if(r!=null&&this.rank===2)n=Tk(e,this.kernel.read(),a,this.strides,this.padding,this.dataFormat,this.dilationRate,r);else{if(this.rank===1)n=NU(e,this.kernel.read(),a,this.strides[0],this.padding,this.dataFormat,this.dilationRate[0]);else if(this.rank===2)n=Tk(e,this.kernel.read(),a,this.strides,this.padding,this.dataFormat,this.dilationRate);else if(this.rank===3)n=CU(e,this.kernel.read(),a,this.strides,this.padding,this.dataFormat,this.dilationRate);else throw new Re("convolutions greater than 3D are not implemented yet.");this.activation!=null&&(n=this.activation.apply(n))}return n})}computeOutputShape(e){e=Qe(e);let t=[],n=this.dataFormat==="channelsLast"?e.slice(1,e.length-1):e.slice(2);for(let r=0;r 0 but got ${JSON.stringify(e.filters)}`)}},Xc=class extends Kc{constructor(e){super(2,e),Xc.verifyArgs(e)}getConfig(){let e=super.getConfig();return delete e.rank,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!qv(e.kernelSize,"number",1,2))throw new V(`Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received ${JSON.stringify(e.kernelSize)}.`)}};Xc.className="Conv2D";ne.registerClass(Xc);var Yc=class extends Kc{constructor(e){super(3,e),Yc.verifyArgs(e)}getConfig(){let e=super.getConfig();return delete e.rank,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!(Array.isArray(e.kernelSize)&&(e.kernelSize.length===1||e.kernelSize.length===3)))throw new V(`Conv3D expects config.kernelSize to be number or [number, number, number], but received ${JSON.stringify(e.kernelSize)}.`)}};Yc.className="Conv3D";ne.registerClass(Yc);var Sw=class extends Xc{constructor(e){if(super(e),this.inputSpec=[new zt({ndim:4})],this.padding!=="same"&&this.padding!=="valid")throw new V(`Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(e){if(e=Qe(e),e.length!==4)throw new V("Input should have rank 4; Received input shape: "+JSON.stringify(e));let t=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[t]==null)throw new V("The channel dimension of the inputs should be defined. Found `None`.");let n=e[t],a=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",a,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new zt({ndim:4,axes:{[t]:n}})],this.built=!0}call(e,t){return P(()=>{let n=Ne(e);if(n.shape.length!==4)throw new V(`Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let a=n.shape,r=a[0],s,i;this.dataFormat==="channelsFirst"?(s=2,i=3):(s=1,i=2);let o=a[s],l=a[i],u=this.kernelSize[0],p=this.kernelSize[1],d=this.strides[0],c=this.strides[1],h=nr(o,d,u,this.padding),m=nr(l,c,p,this.padding),f=[r,h,m,this.filters];this.dataFormat!=="channelsLast"&&(n=Ee(n,[0,2,3,1]));let g=Dm(n,this.kernel.read(),f,this.strides,this.padding);return this.dataFormat!=="channelsLast"&&(g=Ee(g,[0,3,1,2])),this.bias!=null&&(g=Xa(g,this.bias.read(),this.dataFormat)),this.activation!=null&&(g=this.activation.apply(g)),g})}computeOutputShape(e){e=Qe(e);let t=e.slice(),n,a,r;this.dataFormat==="channelsFirst"?(n=1,a=2,r=3):(n=3,a=1,r=2);let s=this.kernelSize[0],i=this.kernelSize[1],o=this.strides[0],l=this.strides[1];return t[n]=this.filters,t[a]=nr(t[a],o,s,this.padding),t[r]=nr(t[r],l,i,this.padding),t}getConfig(){let e=super.getConfig();return delete e.dilationRate,e}};Sw.className="Conv2DTranspose";ne.registerClass(Sw);var Tw=class extends Yc{constructor(e){if(super(e),this.inputSpec=[new zt({ndim:5})],this.padding!=="same"&&this.padding!=="valid")throw new V(`Conv3DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(e){if(e=Qe(e),e.length!==5)throw new V("Input should have rank 5; Received input shape: "+JSON.stringify(e));let t=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[t]==null)throw new V("The channel dimension of the inputs should be defined. Found `None`.");let n=e[t],a=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",a,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new zt({ndim:5,axes:{[t]:n}})],this.built=!0}call(e,t){return P(()=>{let n=Ne(e);if(n.shape.length!==5)throw new V(`Conv3DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let a=n.shape,r=a[0],s,i,o;this.dataFormat==="channelsFirst"?(o=2,s=3,i=4):(o=1,s=2,i=3);let l=a[o],u=a[s],p=a[i],d=this.kernelSize[0],c=this.kernelSize[1],h=this.kernelSize[2],m=this.strides[0],f=this.strides[1],g=this.strides[2],b=nr(l,m,d,this.padding),y=nr(u,f,c,this.padding),x=nr(p,g,h,this.padding),w=[r,b,y,x,this.filters];this.dataFormat!=="channelsLast"&&(n=Ee(n,[0,2,3,4,1]));let I=lv(n,this.kernel.read(),w,this.strides,this.padding);return this.dataFormat!=="channelsLast"&&(I=Ee(I,[0,4,1,2,3])),this.bias!==null&&(I=Xa(I,this.bias.read(),this.dataFormat)),this.activation!==null&&(I=this.activation.apply(I)),I})}computeOutputShape(e){e=Qe(e);let t=e.slice(),n,a,r,s;this.dataFormat==="channelsFirst"?(n=1,a=2,r=3,s=4):(n=4,a=1,r=2,s=3);let i=this.kernelSize[0],o=this.kernelSize[1],l=this.kernelSize[2],u=this.strides[0],p=this.strides[1],d=this.strides[2];return t[n]=this.filters,t[a]=nr(t[a],u,i,this.padding),t[r]=nr(t[r],p,o,this.padding),t[s]=nr(t[s],d,l,this.padding),t}getConfig(){let e=super.getConfig();return delete e.dilationRate,e}};Tw.className="Conv3DTranspose";ne.registerClass(Tw);var DN=class extends Kc{constructor(e,t){if(super(e,t),this.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",this.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",this.depthwiseKernel=null,this.pointwiseKernel=null,t.filters==null)throw new V("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(t.kernelInitializer!=null||t.kernelRegularizer!=null||t.kernelConstraint!=null)throw new V("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(t.padding!=null&&t.padding!=="same"&&t.padding!=="valid")throw new V(`SeparableConv${this.rank}D supports only padding modes: 'same' and 'valid', but received ${JSON.stringify(t.padding)}`);this.depthMultiplier=t.depthMultiplier==null?1:t.depthMultiplier,this.depthwiseInitializer=St(t.depthwiseInitializer||this.DEFAULT_DEPTHWISE_INITIALIZER),this.depthwiseRegularizer=Tt(t.depthwiseRegularizer),this.depthwiseConstraint=Kt(t.depthwiseConstraint),this.pointwiseInitializer=St(t.depthwiseInitializer||this.DEFAULT_POINTWISE_INITIALIZER),this.pointwiseRegularizer=Tt(t.pointwiseRegularizer),this.pointwiseConstraint=Kt(t.pointwiseConstraint)}build(e){if(e=Qe(e),e.length{e=Ne(e);let n;if(this.rank===1)throw new Re("1D separable convolution is not implemented yet.");return this.rank===2&&(this.dataFormat==="channelsFirst"&&(e=Ee(e,[0,2,3,1])),n=vs(e,this.depthwiseKernel.read(),this.pointwiseKernel.read(),this.strides,this.padding,this.dilationRate,"NHWC")),this.useBias&&(n=Xa(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),this.dataFormat==="channelsFirst"&&(n=Ee(n,[0,3,1,2])),n})}getConfig(){let e=super.getConfig();return delete e.rank,delete e.kernelInitializer,delete e.kernelRegularizer,delete e.kernelConstraint,e.depthwiseInitializer=Ct(this.depthwiseInitializer),e.pointwiseInitializer=Ct(this.pointwiseInitializer),e.depthwiseRegularizer=pt(this.depthwiseRegularizer),e.pointwiseRegularizer=pt(this.pointwiseRegularizer),e.depthwiseConstraint=qt(this.depthwiseConstraint),e.pointwiseConstraint=qt(this.pointwiseConstraint),e}};DN.className="SeparableConv";var Nw=class extends DN{constructor(e){super(2,e)}};Nw.className="SeparableConv2D";ne.registerClass(Nw);var Tf=class extends Kc{constructor(e){super(1,e),Tf.verifyArgs(e),this.inputSpec=[{ndim:3}]}getConfig(){let e=super.getConfig();return delete e.rank,delete e.dataFormat,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!qv(e.kernelSize,"number",1,1))throw new V(`Conv1D expects config.kernelSize to be number or number[] with length 1, but received ${JSON.stringify(e.kernelSize)}.`)}};Tf.className="Conv1D";ne.registerClass(Tf);var Cw=class extends Ge{constructor(e){super(e),typeof e.cropping=="number"?this.cropping=[[e.cropping,e.cropping],[e.cropping,e.cropping]]:typeof e.cropping[0]=="number"?this.cropping=[[e.cropping[0],e.cropping[0]],[e.cropping[1],e.cropping[1]]]:this.cropping=e.cropping,this.dataFormat=e.dataFormat===void 0?"channelsLast":e.dataFormat,this.inputSpec=[{ndim:4}]}computeOutputShape(e){return this.dataFormat==="channelsFirst"?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]}call(e,t){return P(()=>{if(e=Ne(e),this.dataFormat==="channelsLast"){let n=Kd(e,this.cropping[0][0],e.shape[1]-this.cropping[0][0]-this.cropping[0][1],2);return Kd(n,this.cropping[1][0],e.shape[2]-this.cropping[1][1]-this.cropping[1][0],3)}else{let n=Kd(e,this.cropping[0][0],e.shape[2]-this.cropping[0][0]-this.cropping[0][1],3);return Kd(n,this.cropping[1][0],e.shape[3]-this.cropping[1][1]-this.cropping[1][0],4)}})}getConfig(){let e={cropping:this.cropping,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}};Cw.className="Cropping2D";ne.registerClass(Cw);var _w=class extends Ge{constructor(e){super(e),this.DEFAULT_SIZE=[2,2],this.inputSpec=[{ndim:4}],this.size=e.size==null?this.DEFAULT_SIZE:e.size,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Rt(this.dataFormat),this.interpolation=e.interpolation==null?"nearest":e.interpolation,L4(this.interpolation)}computeOutputShape(e){if(this.dataFormat==="channelsFirst"){let t=e[2]==null?null:this.size[0]*e[2],n=e[3]==null?null:this.size[1]*e[3];return[e[0],e[1],t,n]}else{let t=e[1]==null?null:this.size[0]*e[1],n=e[2]==null?null:this.size[1]*e[2];return[e[0],t,n,e[3]]}}call(e,t){return P(()=>{let n=Ne(e),a=n.shape;if(this.dataFormat==="channelsFirst"){n=Ee(n,[0,2,3,1]);let r=this.size[0]*a[2],s=this.size[1]*a[3],i=this.interpolation==="nearest"?za.resizeNearestNeighbor(n,[r,s]):za.resizeBilinear(n,[r,s]);return Ee(i,[0,3,1,2])}else{let r=this.size[0]*a[1],s=this.size[1]*a[2];return this.interpolation==="nearest"?za.resizeNearestNeighbor(n,[r,s]):za.resizeBilinear(n,[r,s])}})}getConfig(){let e={size:this.size,dataFormat:this.dataFormat,interpolation:this.interpolation},t=super.getConfig();return Object.assign(e,t),e}};_w.className="UpSampling2D";ne.registerClass(_w);function _U(e,t,n=[1,1],a="valid",r,s){return P(()=>{r==null&&(r=ja()),Rt(r);let i=kw(e,r);if(e.rank!==4)throw new V(`Input for depthwiseConv2d is required to be 4-D, but is instead ${e.rank}-D`);if(t.rank!==4)throw new V(`depthwiseKernel is required to be 4-D, but is instead ${t.rank}-D`);return i=ys(i,t,n,a==="same"?"same":"valid","NHWC",s),r==="channelsFirst"&&(i=Ee(i,[0,3,1,2])),i})}var Ew=class extends Iw{constructor(e){super(2,e),this.depthwiseKernel=null,this.depthMultiplier=e.depthMultiplier==null?1:e.depthMultiplier,this.depthwiseInitializer=St(e.depthwiseInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.depthwiseConstraint=Kt(e.depthwiseConstraint),this.depthwiseRegularizer=Tt(e.depthwiseRegularizer)}build(e){if(e=Qe(e),e.length<4)throw new V(`Inputs to DepthwiseConv2D should have rank 4. Received input shape: ${JSON.stringify(e)}.`);let t=this.dataFormat==="channelsFirst"?1:3;if(e[t]==null||e[t]<0)throw new V(`The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not (${e[t]}).`);let n=e[t],a=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",a,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return P(()=>{e=Ne(e);let n=_U(e,this.depthwiseKernel.read(),this.strides,this.padding,this.dataFormat,null);return this.useBias&&(n=Xa(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),n})}computeOutputShape(e){e=Qe(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2],a=this.dataFormat==="channelsFirst"?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,r=Ga(t,this.kernelSize[0],this.padding,this.strides[0]),s=Ga(n,this.kernelSize[1],this.padding,this.strides[1]);return this.dataFormat==="channelsFirst"?[e[0],a,r,s]:[e[0],r,s,a]}getConfig(){let e=super.getConfig();return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=Ct(this.depthwiseInitializer),e.depthwiseRegularizer=pt(this.depthwiseRegularizer),e.depthwiseConstraint=qt(this.depthwiseRegularizer),e}};Ew.className="DepthwiseConv2D";ne.registerClass(Ew);function RN(e,t,n,a){if(Array.isArray(e)){if(t!=null||n!=null)throw new V("When inputs is an array, neither initialState or constants should be provided");a!=null&&(n=e.slice(e.length-a,e.length),e=e.slice(0,e.length-a)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function r(s){return s==null||Array.isArray(s)?s:[s]}return t=r(t),n=r(n),{inputs:e,initialState:t,constants:n}}function MN(e,t,n,a=!1,r,s,i=!1,o=!1){return P(()=>{let l=t.shape.length;if(l<3)throw new V(`Input should be at least 3D, but is ${l}D.`);let u=[1,0].concat(Ha(2,l));if(t=Ee(t,u),s!=null)throw new Re("The rnn() functoin of the deeplearn.js backend does not support constants yet.");i&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),r!=null&&(r=oe(oe(r,"bool"),"float32"),r.rank===l-1&&(r=Zt(r,-1)),r=Ee(r,u)),a&&(t=fa(t,0),r!=null&&(r=fa(r,0)));let p=[],d,c=n,h=t.shape[0],m=ct(t),f;r!=null&&(f=ct(r));for(let b=0;be(y,c));if(r==null)d=x[0],c=x[1];else{let w=P(()=>{let I=f[b],T=pe(ta(I),I),C=Y(z(x[0],I),z(c[0],T)),E=c.map((A,R)=>Y(z(x[1][R],I),z(A,T)));return{output:C,newStates:E}});d=w.output,c=w.newStates}o&&p.push(d)}let g;return o&&(g=Ft(p,1)),[d,g,c]})}var dr=class extends Ge{constructor(e){super(e);let t;if(e.cell==null)throw new V("cell property is missing for the constructor of RNN.");if(Array.isArray(e.cell)?t=new _f({cells:e.cell}):t=e.cell,t.stateSize==null)throw new V("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");this.cell=t,this.returnSequences=e.returnSequences==null?!1:e.returnSequences,this.returnState=e.returnState==null?!1:e.returnState,this.goBackwards=e.goBackwards==null?!1:e.goBackwards,this._stateful=e.stateful==null?!1:e.stateful,this.unroll=e.unroll==null?!1:e.unroll,this.supportsMasking=!0,this.inputSpec=[new zt({ndim:3})],this.stateSpec=null,this.states_=null,this.numConstants=null,this.keptStates=[]}getStates(){if(this.states_==null){let e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;return Ha(0,e).map(t=>null)}else return this.states_}setStates(e){this.states_=e}computeOutputShape(e){Ly(e)&&(e=e[0]),e=e;let t=this.cell.stateSize;Array.isArray(t)||(t=[t]);let n=t[0],a;if(this.returnSequences?a=[e[0],e[1],n]:a=[e[0],n],this.returnState){let r=[];for(let s of t)r.push([e[0],s]);return[a].concat(r)}else return a}computeMask(e,t){return P(()=>{Array.isArray(t)&&(t=t[0]);let n=this.returnSequences?t:null;if(this.returnState){let a=this.states.map(r=>null);return[n].concat(a)}else return n})}get states(){if(this.states_==null){let e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,t=[];for(let n=0;ns.shape[s.shape.length-1]),r))throw new V(`An initialState was passed that is not compatible with cell.stateSize. Received stateSpec=${this.stateSpec}; However cell.stateSize is ${this.cell.stateSize}`)}else this.stateSpec=r.map(s=>new zt({shape:[null,s]}));this.stateful&&this.resetStates()}resetStates(e,t=!1){P(()=>{if(!this.stateful)throw new vr("Cannot call resetStates() on an RNN Layer that is not stateful.");let n=this.inputSpec[0].shape[0];if(n==null)throw new V("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(this.states_==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(a=>It([n,a])):this.states_=[It([n,this.cell.stateSize])];else if(e==null)_e(this.states_),this.keptStates!=null&&(_e(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(a=>It([n,a])):this.states_[0]=It([n,this.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==this.states_.length)throw new V(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${e.length} state value(s). Input received: ${e}`);t===!0?this.keptStates.push(this.states_.slice()):_e(this.states_);for(let a=0;aJt(a.clone()))})}apply(e,t){let n=t==null?null:t.initialState,a=t==null?null:t.constants;t==null&&(t={});let r=RN(e,n,a,this.numConstants);e=r.inputs,n=r.initialState,a=r.constants;let s=[],i=[];if(n!=null){t.initialState=n,s=s.concat(n),this.stateSpec=[];for(let o of n)this.stateSpec.push(new zt({shape:o.shape}));i=i.concat(this.stateSpec)}if(a!=null&&(t.constants=a,s=s.concat(a),this.numConstants=a.length),s[0]instanceof Ba){let o=[e].concat(s),l=this.inputSpec.concat(i),u=this.inputSpec;this.inputSpec=l;let p=super.apply(o,t);return this.inputSpec=u,p}else return super.apply(e,t)}call(e,t){return P(()=>{let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;e=Ne(e),r==null&&(this.stateful?r=this.states_:r=this.getInitialState(e));let s=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;if(r.length!==s)throw new V(`RNN Layer has ${s} state(s) but was passed ${r.length} initial state(s).`);this.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");let i={training:a},o=MN((c,h)=>{let m=this.cell.call([c].concat(h),i);return[m[0],m.slice(1)]},e,r,this.goBackwards,n,null,this.unroll,this.returnSequences),l=o[0],u=o[1],p=o[2];this.stateful&&this.resetStates(p,a);let d=this.returnSequences?u:l;return this.returnState?[d].concat(p):d})}getInitialState(e){return P(()=>{let t=It(e.shape);return t=fe(t,[1,2]),t=Uc(t),Array.isArray(this.cell.stateSize)?this.cell.stateSize.map(n=>n>1?Py(t,[1,n]):t):this.cell.stateSize>1?[Py(t,[1,this.cell.stateSize])]:[t]})}get trainableWeights(){return this.trainable?this.cell.trainableWeights:[]}get nonTrainableWeights(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),this.cell!=null&&this.cell.setFastWeightInitDuringBuild(e)}getConfig(){let e=super.getConfig(),t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};this.numConstants!=null&&(t.numConstants=this.numConstants);let n=this.cell.getConfig();return this.getClassName()===dr.className&&(t.cell={className:this.cell.getClassName(),config:n}),Object.assign(Object.assign(Object.assign({},n),e),t)}static fromConfig(e,t,n={}){let a=t.cell,r=Ua(a,n);return new e(Object.assign(t,{cell:r}))}};dr.className="RNN";ne.registerClass(dr);var Zc=class extends Ge{},Nf=class extends Zc{constructor(e){super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=e.units,Qt(this.units,"units"),this.activation=ss(e.activation==null?this.DEFAULT_ACTIVATION:e.activation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=St(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=Tt(e.kernelRegularizer),this.recurrentRegularizer=Tt(e.recurrentRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.kernelConstraint=Kt(e.kernelConstraint),this.recurrentConstraint=Kt(e.recurrentConstraint),this.biasConstraint=Kt(e.biasConstraint),this.dropout=cl([1,as([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=cl([1,as([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.dropoutFunc=e.dropoutFunc,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){e=Qe(e),this.kernel=this.addWeight("kernel",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return P(()=>{if(e=e,e.length!==2)throw new V(`SimpleRNNCell expects 2 input Tensors, got ${e.length}.`);let n=e[1];e=e[0];let a=t.training==null?!1:t.training;0ta(e),rate:this.dropout,training:a,dropoutFunc:this.dropoutFunc})),0ta(n),rate:this.recurrentDropout,training:a,dropoutFunc:this.dropoutFunc}));let r,s=this.dropoutMask,i=this.recurrentDropoutMask;s!=null?r=sr(z(e,s),this.kernel.read()):r=sr(e,this.kernel.read()),this.bias!=null&&(r=Xa(r,this.bias.read())),i!=null&&(n=z(n,i));let o=Y(r,sr(n,this.recurrentKernel.read()));return this.activation!=null&&(o=this.activation.apply(o)),[o,o]})}getConfig(){let e=super.getConfig(),t={units:this.units,activation:rs(this.activation),useBias:this.useBias,kernelInitializer:Ct(this.kernelInitializer),recurrentInitializer:Ct(this.recurrentInitializer),biasInitializer:Ct(this.biasInitializer),kernelRegularizer:pt(this.kernelRegularizer),recurrentRegularizer:pt(this.recurrentRegularizer),biasRegularizer:pt(this.biasRegularizer),activityRegularizer:pt(this.activityRegularizer),kernelConstraint:qt(this.kernelConstraint),recurrentConstraint:qt(this.recurrentConstraint),biasConstraint:qt(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign(Object.assign({},e),t)}};Nf.className="SimpleRNNCell";ne.registerClass(Nf);var Aw=class extends dr{constructor(e){e.cell=new Nf(e),super(e)}call(e,t){return P(()=>{this.cell.dropoutMask!=null&&(_e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(_e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}static fromConfig(e,t){return new e(t)}};Aw.className="SimpleRNN";ne.registerClass(Aw);var Cf=class extends Zc{constructor(e){if(super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",e.resetAfter)throw new V("GRUCell does not support reset_after parameter set to true.");this.units=e.units,Qt(this.units,"units"),this.activation=ss(e.activation===void 0?this.DEFAULT_ACTIVATION:e.activation),this.recurrentActivation=ss(e.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=St(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=Tt(e.kernelRegularizer),this.recurrentRegularizer=Tt(e.recurrentRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.kernelConstraint=Kt(e.kernelConstraint),this.recurrentConstraint=Kt(e.recurrentConstraint),this.biasConstraint=Kt(e.biasConstraint),this.dropout=cl([1,as([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=cl([1,as([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.dropoutFunc=e.dropoutFunc,this.implementation=e.implementation,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){e=Qe(e);let t=e[e.length-1];this.kernel=this.addWeight("kernel",[t,this.units*3],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*3],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units*3],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return P(()=>{if(e=e,e.length!==2)throw new V(`GRUCell expects 2 input Tensors (inputs, h, c), got ${e.length}.`);let n=t.training==null?!1:t.training,a=e[1];e=e[0],0ta(e),rate:this.dropout,training:n,count:3,dropoutFunc:this.dropoutFunc})),0ta(a),rate:this.recurrentDropout,training:n,count:3,dropoutFunc:this.dropoutFunc}));let r=this.dropoutMask,s=this.recurrentDropoutMask,i,o,l;0{this.cell.dropoutMask!=null&&(_e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(_e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}static fromConfig(e,t){return t.implmentation===0&&(t.implementation=1),new e(t)}};$w.className="GRU";ne.registerClass($w);var Jc=class extends Zc{constructor(e){super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=e.units,Qt(this.units,"units"),this.activation=ss(e.activation===void 0?this.DEFAULT_ACTIVATION:e.activation),this.recurrentActivation=ss(e.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=St(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.unitForgetBias=e.unitForgetBias,this.kernelRegularizer=Tt(e.kernelRegularizer),this.recurrentRegularizer=Tt(e.recurrentRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.kernelConstraint=Kt(e.kernelConstraint),this.recurrentConstraint=Kt(e.recurrentConstraint),this.biasConstraint=Kt(e.biasConstraint),this.dropout=cl([1,as([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=cl([1,as([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.dropoutFunc=e.dropoutFunc,this.implementation=e.implementation,this.stateSize=[this.units,this.units],this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){var t;e=Qe(e);let n=e[e.length-1];this.kernel=this.addWeight("kernel",[n,this.units*4],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*4],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint);let a;if(this.useBias){if(this.unitForgetBias){let r=this.biasInitializer,s=this.units;a=new(t=class extends Fa{apply(i,o){let l=r.apply([s]),u=new ff().apply([s]),p=r.apply([s*2]);return uk(uk(l,u),p)}},t.className="CustomInit",t)}else a=this.biasInitializer;this.bias=this.addWeight("bias",[this.units*4],null,a,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0}call(e,t){return P(()=>{let n=t.training==null?!1:t.training;if(e=e,e.length!==3)throw new V(`LSTMCell expects 3 input Tensors (inputs, h, c), got ${e.length}.`);let a=e[1],r=e[2];e=e[0],0ta(e),rate:this.dropout,training:n,count:4,dropoutFunc:this.dropoutFunc})),0ta(a),rate:this.recurrentDropout,training:n,count:4,dropoutFunc:this.dropoutFunc}));let s=this.dropoutMask,i=this.recurrentDropoutMask,o,l,u,p;0{this.cell.dropoutMask!=null&&(_e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(_e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}static fromConfig(e,t){return t.implmentation===0&&(t.implementation=1),new e(t)}};Fw.className="LSTM";ne.registerClass(Fw);var _f=class extends Zc{constructor(e){super(e),this.cells=e.cells}get stateSize(){let e=[];for(let t of this.cells.slice().reverse())Array.isArray(t.stateSize)?e.push(...t.stateSize):e.push(t.stateSize);return e}call(e,t){return P(()=>{e=e;let n=e.slice(1),a=[];for(let i of this.cells.slice().reverse())Array.isArray(i.stateSize)?a.push(n.splice(0,i.stateSize.length)):a.push(n.splice(0,1));a.reverse();let r=[],s;for(let i=0;i{Xs(`RNNCell_${a}`,()=>{n.build(e),Array.isArray(n.stateSize)?t=n.stateSize[0]:t=n.stateSize,e=[e[0],t]})}),this.built=!0}getConfig(){let e=super.getConfig(),t=a=>({className:a.getClassName(),config:a.getConfig()}),n={cells:this.cells.map(t)};return Object.assign(Object.assign({},e),n)}static fromConfig(e,t,n={}){let a=[];for(let r of t.cells)a.push(Ua(r,n));return new e({cells:a})}get trainableWeights(){if(!this.trainable)return[];let e=[];for(let t of this.cells)e.push(...t.trainableWeights);return e}get nonTrainableWeights(){let e=[];for(let t of this.cells)e.push(...t.nonTrainableWeights);if(!this.trainable){let t=[];for(let n of this.cells)t.push(...n.trainableWeights);return t.concat(e)}return e}getWeights(){let e=[];for(let t of this.cells)e.push(...t.weights);return zy(e)}setWeights(e){let t=[];for(let n of this.cells){let a=n.weights.length,r=e.splice(a);for(let s=0;ss!=null?s(t(),n):qT(t(),n),o=()=>Hc(i,t,a);return!r||r<=1?Jt(o().clone()):Array(r).fill(void 0).map(o).map(l=>Jt(l.clone()))}var EU=function(e,t){var n={};for(var a in e)Object.prototype.hasOwnProperty.call(e,a)&&t.indexOf(a)<0&&(n[a]=e[a]);if(e!=null&&typeof Object.getOwnPropertySymbols=="function")for(var r=0,a=Object.getOwnPropertySymbols(e);r{if(this.cell.dropoutMask!=null&&(_e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(_e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null),t&&t.constants)throw new V("ConvRNN2D cell does not support constants");let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}computeOutputShape(e){let t=this.computeSingleOutputShape(e);return this.returnSequences||(t=[t[0],...t.slice(2)]),this.returnState&&(t=[t,...Array(2).fill([e[0],...t.slice(-3)])]),t}getInitialState(e){return P(()=>{let{stateSize:t}=this.cell,n=e.shape,a=this.computeSingleOutputShape(n),r=[a[0],...a.slice(2)],s=It(r);return Array.isArray(t)?Array(t.length).fill(s):[s]})}resetStates(e,t=!1){P(()=>{if(!this.stateful)throw new vr("Cannot call resetStates() on an RNN Layer that is not stateful.");let n=this.inputSpec[0].shape,a=this.computeSingleOutputShape(n),r=[a[0],...a.slice(2)];if(n[0]==null)throw new V("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(this.getStates()==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>It(r)):this.states_=[It(r)];else if(e==null)_e(this.states_),this.keptStates!=null&&(_e(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>It(r)):this.states_[0]=It(r);else{if(Array.isArray(e)||(e=[e]),e.length!==this.states_.length)throw new V(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${e.length} state value(s). Input received: ${e}`);t?this.keptStates.push(this.states_.slice()):_e(this.states_);for(let s=0;sJt(s.clone()))})}computeSingleOutputShape(e){let{dataFormat:t,filters:n,kernelSize:a,padding:r,strides:s,dilationRate:i}=this.cell,o=t==="channelsFirst",l=e[o?3:2],u=e[o?4:3],p=Ga(l,a[0],r,s[0],i[0]),d=Ga(u,a[1],r,s[1],i[1]);return[...e.slice(0,2),...o?[n,p,d]:[p,d,n]]}};PN.className="ConvRNN2D";var Ef=class extends Jc{constructor(e){let{filters:t,kernelSize:n,strides:a,padding:r,dataFormat:s,dilationRate:i}=e;super(Object.assign(Object.assign({},e),{units:t})),this.filters=t,Qt(this.filters,"filters"),this.kernelSize=el(n,2,"kernelSize"),this.kernelSize.forEach(o=>Qt(o,"kernelSize")),this.strides=el(a||1,2,"strides"),this.strides.forEach(o=>Qt(o,"strides")),this.padding=r||"valid",ya(this.padding),this.dataFormat=s||"channelsLast",Rt(this.dataFormat),this.dilationRate=el(i||1,2,"dilationRate"),this.dilationRate.forEach(o=>Qt(o,"dilationRate"))}build(e){var t;e=Qe(e);let n=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[n]==null)throw new V(`The channel dimension of the input should be defined. Found ${e[n]}`);let a=e[n],r=4,s=this.kernelSize.concat([a,this.filters*r]);this.kernel=this.addWeight("kernel",s,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);let i=this.kernelSize.concat([this.filters,this.filters*r]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",i,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){let o;if(this.unitForgetBias){let l=this.biasInitializer,u=this.filters;o=new(t=class extends Fa{apply(p,d){let c=l.apply([u]),h=Zn([u]),m=l.apply([u*2]);return Kv([c,h,m])}},t.className="CustomInit",t)}else o=this.biasInitializer;this.bias=this.addWeight("bias",[this.filters*r],null,o,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0}call(e,t){return P(()=>{if(e.length!==3)throw new V(`ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got ${e.length}.`);let n=t.training||!1,a=e[0],r=e[1],s=e[2],i=4;0ta(a),rate:this.dropout,training:n,count:i,dropoutFunc:this.dropoutFunc}));let o=this.dropoutMask,l=(Z,Q,ee)=>!Q||!Q[ee]?Z:z(Q[ee],Z),u=l(a,o,0),p=l(a,o,1),d=l(a,o,2),c=l(a,o,3);0ta(r),rate:this.recurrentDropout,training:n,count:i,dropoutFunc:this.dropoutFunc}));let h=this.recurrentDropoutMask,m=l(r,h,0),f=l(r,h,1),g=l(r,h,2),b=l(r,h,3),y=3,[x,w,I,T]=zn(this.kernel.read(),i,y),[C,E,A,R]=this.useBias?zn(this.bias.read(),i):[null,null,null,null];u=this.inputConv(u,x,C,this.padding),p=this.inputConv(p,w,E,this.padding),d=this.inputConv(d,I,A,this.padding),c=this.inputConv(c,T,R,this.padding);let[F,S,M,B]=zn(this.recurrentKernel.read(),i,y);m=this.recurrentConv(m,F),f=this.recurrentConv(f,S),g=this.recurrentConv(g,M),b=this.recurrentConv(b,B);let U=this.recurrentActivation.apply(Y(u,m)),G=this.recurrentActivation.apply(Y(p,f)),q=Y(z(G,s),z(U,this.activation.apply(Y(d,g)))),K=z(this.recurrentActivation.apply(Y(c,b)),this.activation.apply(q));return[K,K,q]})}getConfig(){let e=super.getConfig(),{units:t}=e,n=EU(e,["units"]),a={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign(Object.assign({},n),a)}inputConv(e,t,n,a){let r=$t(e,t,this.strides,a||"valid",this.dataFormat==="channelsFirst"?"NCHW":"NHWC",this.dilationRate);return n?Xa(r,n,this.dataFormat):r}recurrentConv(e,t){return $t(e,t,1,"same",this.dataFormat==="channelsFirst"?"NCHW":"NHWC")}};Ef.className="ConvLSTM2DCell";ne.registerClass(Ef);var Dw=class extends PN{constructor(e){let t=new Ef(e);super(Object.assign(Object.assign({},e),{cell:t}))}static fromConfig(e,t){return new e(t)}};Dw.className="ConvLSTM2D";ne.registerClass(Dw);var Af=class extends Ge{constructor(e){super(e),this.rate=Math.max(Math.min(e.rate,1),0),this.noiseShape=e.noiseShape,this.seed=e.seed,this.supportsMasking=!0}getNoiseShape(e){if(this.noiseShape==null)return this.noiseShape;let t=e.shape,n=[];for(let a=0;a{this.invokeCallHook(e,t);let n=Ne(e);if(0qT(n,this.rate,r,this.seed),()=>n,a)}return e})}getConfig(){let e={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},t=super.getConfig();return Object.assign(e,t),e}dispose(){return super.dispose()}};Af.className="Dropout";ne.registerClass(Af);var Rw=class extends Af{constructor(e){super(e),this.inputSpec=[{ndim:3}]}getNoiseShape(e){let t=e.shape;return[t[0],1,t[2]]}};Rw.className="SpatialDropout1D";ne.registerClass(Rw);var Mw=class extends Ge{constructor(e){if(super(e),this.activation=null,this.useBias=!0,this.kernel=null,this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",e.batchInputShape==null&&e.inputShape==null&&e.inputDim!=null){let t=null;e.batchSize!=null&&(t=e.batchSize),this.batchInputShape=[t,e.inputDim]}this.units=e.units,Qt(this.units,"units"),this.activation=ss(e.activation),e.useBias!=null&&(this.useBias=e.useBias),this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelConstraint=Kt(e.kernelConstraint),this.biasConstraint=Kt(e.biasConstraint),this.kernelRegularizer=Tt(e.kernelRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.activityRegularizer=Tt(e.activityRegularizer),this.supportsMasking=!0,this.inputSpec=[{minNDim:2}]}build(e){e=Qe(e);let t=e[e.length-1];this.kernel==null&&(this.kernel=this.addWeight("kernel",[t,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:{[-1]:t}}],this.built=!0}computeOutputShape(e){e=Qe(e);let t=e.slice();return t[t.length-1]=this.units,t}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ne(e),a=WT(this.activation.getClassName()),r;return a!=null?r=sr(n,this.kernel.read(),a,this.bias?this.bias.read():null):(r=sr(n,this.kernel.read()),this.bias!=null&&(r=Xa(r,this.bias.read())),this.activation!=null&&(r=this.activation.apply(r))),r})}getConfig(){let e={units:this.units,activation:rs(this.activation),useBias:this.useBias,kernelInitializer:Ct(this.kernelInitializer),biasInitializer:Ct(this.biasInitializer),kernelRegularizer:pt(this.kernelRegularizer),biasRegularizer:pt(this.biasRegularizer),activityRegularizer:pt(this.activityRegularizer),kernelConstraint:qt(this.kernelConstraint),biasConstraint:qt(this.biasConstraint)},t=super.getConfig();return Object.assign(e,t),e}};Mw.className="Dense";ne.registerClass(Mw);var Pw=class extends Ge{constructor(e){e=e||{},super(e),this.inputSpec=[{minNDim:3}],this.dataFormat=e.dataFormat}computeOutputShape(e){e=Qe(e);for(let t of e.slice(1))if(t==null)throw new V(`The shape of the input to "Flatten" is not fully defined (got ${e.slice(1)}). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.`);return[e[0],Qr(e,1)]}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ne(e);if(this.dataFormat==="channelsFirst"&&n.rank>1){let a=[0];for(let r=2;r{this.invokeCallHook(e,t);let n=Ne(e);return this.activation.apply(n)})}getConfig(){let e={activation:rs(this.activation)},t=super.getConfig();return Object.assign(e,t),e}};Ow.className="Activation";ne.registerClass(Ow);var Lw=class extends Ge{constructor(e){super(e),this.n=e.n,this.inputSpec=[{ndim:2}]}computeOutputShape(e){return[e[0],this.n,e[1]]}call(e,t){return P(()=>(e=Ne(e),V4(e,this.n)))}getConfig(){let e={n:this.n},t=super.getConfig();return Object.assign(e,t),e}};Lw.className="RepeatVector";ne.registerClass(Lw);var zw=class extends Ge{constructor(e){super(e),this.targetShape=e.targetShape;for(let t=0;t{this.invokeCallHook(e,t);let n=Ne(e),a=n.shape,r=a.slice(0,1).concat(this.fixUnknownDimension(a.slice(1),this.targetShape));return W(n,r)})}getConfig(){let e={targetShape:this.targetShape},t=super.getConfig();return Object.assign(e,t),e}};zw.className="Reshape";ne.registerClass(zw);var Ww=class extends Ge{constructor(e){if(super(e),e.dims==null)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(e.dims))throw new Error(`Permute constructor requires \`dims\` to be an Array, but received ${e.dims} instead.`);let t=Ha(1,e.dims.length+1);if(!v.arraysEqual(e.dims.slice().sort(),t))throw new Error("Invalid permutation `dims`: "+JSON.stringify(e.dims)+" `dims` must contain consecutive integers starting from 1.");this.dims=e.dims,this.dimsIncludingBatch=[0].concat(this.dims),this.inputSpec=[new zt({ndim:this.dims.length+1})]}computeOutputShape(e){e=Qe(e);let t=e.slice();return this.dims.forEach((n,a)=>{t[a+1]=e[n]}),t}call(e,t){return Ee(Ne(e),this.dimsIncludingBatch)}getConfig(){let e={dims:this.dims},t=super.getConfig();return Object.assign(e,t),e}};Ww.className="Permute";ne.registerClass(Ww);var Bw=class extends Ge{constructor(e){super(e==null?{}:e),this.supportsMasking=!0,e!=null?this.maskValue=e.maskValue==null?0:e.maskValue:this.maskValue=0}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={maskValue:this.maskValue};return Object.assign(t,e),t}computeMask(e,t){let n=Ne(e),a=-1;return qp(ii(n,this.maskValue),a)}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ne(e),a=-1,r=!0,s=qp(ii(n,this.maskValue),a,r);return z(n,oe(s,n.dtype))})}};Bw.className="Masking";ne.registerClass(Bw);var Vw=class extends Ge{constructor(e){if(super(e),this.embeddings=null,this.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",e.batchInputShape==null&&e.inputShape==null){let t=null;e.batchSize!=null&&(t=e.batchSize),e.inputLength==null?this.batchInputShape=[t,null]:this.batchInputShape=[t].concat(bt(e.inputLength))}this.inputDim=e.inputDim,Qt(this.inputDim,"inputDim"),this.outputDim=e.outputDim,Qt(this.outputDim,"outputDim"),this.embeddingsInitializer=St(e.embeddingsInitializer||this.DEFAULT_EMBEDDINGS_INITIALIZER),this.embeddingsRegularizer=Tt(e.embeddingsRegularizer),this.activityRegularizer=Tt(e.activityRegularizer),this.embeddingsConstraint=Kt(e.embeddingsConstraint),this.maskZero=e.maskZero,this.supportsMasking=e.maskZero,this.inputLength=e.inputLength}build(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0}warnOnIncompatibleInputShape(e){}computeMask(e,t){return P(()=>this.maskZero?(e=Ne(e),ii(e,qe(e))):null)}computeOutputShape(e){if(e=Qe(e),this.inputLength==null)return[...e,this.outputDim];let t=bt(this.inputLength);if(t.length!==e.length-1)throw new V(`"inputLength" is ${this.inputLength}, but received input shape has shape ${e}`);{let n=0;for(let a=0;a{this.invokeCallHook(e,t);let n=Ne(e);n.dtype!=="int32"&&(n=bo(n,"int32"));let a=jT(this.embeddings.read(),W(n,[n.size]));return W(a,Qe(this.computeOutputShape(n.shape)))})}getConfig(){let e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:Ct(this.embeddingsInitializer),embeddingsRegularizer:pt(this.embeddingsRegularizer),activityRegularizer:pt(this.activityRegularizer),embeddingsConstraint:qt(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},t=super.getConfig();return Object.assign(e,t),e}};Vw.className="Embedding";ne.registerClass(Vw);var xo=class extends Ge{constructor(e){super(e||{}),this.supportsMasking=!0}mergeFunction(e){throw new Re}computeElementwiseOpOutputShape(e,t){if(e==null||t==null)return null;if(e.length1)throw new V(`Can not merge tensors with different batch sizes. Got tensors with shapes: ${JSON.stringify(e)}.`);let n=e[0]==null?null:e[0].slice(1);for(let r=1;rr.length);e.indexOf(null)===-1&&Jr(a).length===1?this.reshapeRequired=!1:this.reshapeRequired=!0}call(e,t){return P(()=>{if(e=e,this.reshapeRequired){let n=[],a=e.map(r=>r.rank);if(a.indexOf(null)===-1){let r=as(a);for(let s of e){let i=s.rank;for(let o=0;o1){let u=Ha(1,l).concat([0]);n.push(Ee(o,u)),r=!0}else n.push(o)}let s=this.mergeFunction(n),i=s.rank;if(r){if(i==null){let o=s.shape,l=o.length,u=o[l-1],p=[u].concat(o.slice(0,o.length-1));s=W(Ee(W(s,[-1,u]),[1,0]),p)}else if(i>1){let o=[i-1].concat(Ha(0,i-1));s=Ee(s,o)}}return s}}else return this.mergeFunction(e)})}computeOutputShape(e){e=e;let t;e[0]==null?t=null:t=e[0].slice(1);for(let a=1;a{if(t==null)return null;if(!Array.isArray(t))throw new V("`mask` should be an Array");if(!Array.isArray(e))throw new V("`inputs` should be an Array");if(t.length!==e.length)throw new V(`The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths (${e.length} vs ${t.length})`);if(t.every(a=>a==null))return null;t=t.map(a=>a==null?a:Zt(a,0));let n=t[0];for(let a=1;a{let t=e[0].clone();for(let n=1;n{let t=e[0].clone();for(let n=1;n{let t=e[0].clone();for(let n=1;n{let t=e[0];for(let n=1;n{let t=e[0];for(let n=1;n1)throw new V("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))}mergeFunction(e){return P(()=>Kv(e,this.axis))}computeOutputShape(e){if(!(Array.isArray(e)&&Array.isArray(e[0])))throw new V("A `Concatenate` layer should be called on a list of inputs.");let t=e,n=t[0].slice(),a=this.axis<0?n.length+this.axis:this.axis;for(let r of t.slice(1)){if(n[a]==null||r[a]==null){n[a]=null;break}n[a]+=r[a]}return n}computeMask(e,t){if(t==null)return null;if(!Array.isArray(t))throw new V("`mask` should be an array for Concatenate");if(!Array.isArray(e))throw new V("`inputs` should be an array for Concatenate");if(t.length!==e.length)throw new V(`Mismatch in the length of mask (${t.length}) and the legnth of inputs (${e.length})`);return P(()=>{let n=!0;if(t.forEach(s=>{if(s!=null){n=!1;return}}),n)return null;let a=[];for(let s=0;s3||t.shape.length>3)throw new Re("batchDot is not implemented for tensors of 4D or higher rank yet");if(v.assert(e.shape.length>=2,()=>`batchDot requires the rank of x to be >= 2, but got ${e.shape.length}`),v.assert(e.shape.length>=2,()=>`batchDot requires the rank of y to be >= 2, but got ${t.shape.length}`),typeof n=="number"&&(n=[n,n]),e.dtype==="complex64"||t.dtype==="complex64")throw new Re("batchDot is not implemented for complex64-type Tensors yet.");let a=e.shape.length,r=t.shape.length;n==null&&(n=[a-1,r-2]);let s=n;return P(()=>{let i;if(a>r){i=a-r;let l=[];for(let u=0;ua){i=r-a;let l=[];for(let u=0;u0){let l;a>r?l=a+r-3:l=a-1;let u=[];for(let p=l;p"A `Dot` layer should be called on a list of exactly 2 inputs.");let t=e[0],n=e[1];if(t.length>3||n.length>3)throw new Re("Dot layer does not support tensors of 4D or higher rank yet.");let a=this.interpretAxes(t,n);if(t[a[0]]!==n[a[1]])throw new V(`Dimension incompatibility: ${t[a[0]]} !== ${n[a[1]]}`)}mergeFunction(e){if(e.length!==2)throw new V(`A \`Dot\` layer must be called on exactly 2 inputs, but received ${e.length} input(s).`);let t=e[0],n=e[1],a;return Array.isArray(this.axes)?a=this.axes.map((r,s)=>Sp(r,e[s].shape.length)):a=[Sp(this.axes,t.shape.length),Sp(this.axes,n.shape.length)],this.normalize&&(t=Eh(t,a[0]),n=Eh(n,a[1])),AU(t,n,a)}interpretAxes(e,t){let n;return Array.isArray(this.axes)?n=this.axes:n=[Sp(this.axes,e.length),Sp(this.axes,t.length)],n}computeOutputShape(e){v.assert(Array.isArray(e)&&e.length===2&&Array.isArray(e[0])&&Array.isArray(e[1]),()=>"A `Dot` layer should be called on a list of exactly 2 inputs.");let t=e[0].slice(),n=e[1].slice();if(t.length>3||n.length>3)throw new Re("Dot layer does not support tensors of 4D or higher rank yet.");let a=this.interpretAxes(t,n);t.splice(a[0],1),n.splice(a[1],1),n.splice(0,1);let r=t.concat(n);return r.length===1&&r.push(1),r}computeMask(e,t){return null}getConfig(){let e={axes:this.axes,normalize:this.normalize},t=super.getConfig();return Object.assign(e,t),e}};Xw.className="Dot";ne.registerClass(Xw);var Yw=class extends Ge{constructor(e){super(e),this.supportsMasking=!0,this.stddev=e.stddev}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={stddev:this.stddev};return Object.assign(t,e),t}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ne(e);return Hc(()=>Y(mf(n.shape,0,this.stddev),n),()=>n,t.training||!1)})}};Yw.className="GaussianNoise";ne.registerClass(Yw);var Zw=class extends Ge{constructor(e){super(e),this.supportsMasking=!0,this.rate=e.rate}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={rate:this.rate};return Object.assign(t,e),t}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ne(e);return this.rate>0&&this.rate<1?Hc(()=>{let a=Math.sqrt(this.rate/(1-this.rate));return z(n,mf(n.shape,1,a))},()=>n,t.training||!1):n})}};Zw.className="GaussianDropout";ne.registerClass(Zw);var Jw=class extends Ge{constructor(e){super(e),this.supportsMasking=!0,this.rate=e.rate,this.noiseShape=e.noiseShape}_getNoiseShape(e){return this.noiseShape||Ne(e).shape}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={rate:this.rate};return Object.assign(t,e),t}call(e,t){return P(()=>{if(this.rate<1&&this.rate>0){let n=this._getNoiseShape(e);return Hc(()=>{let a=Ne(e),r=1.6732632423543772,s=1.0507009873554805,i=-r*s,o=Er($u(n),this.rate);o=bo(o,"float32");let l=((1-this.rate)*(1+this.rate*i**2))**-.5,u=-l*i*this.rate,p=Y(z(a,o),z(Y(o,-1),i));return Y(z(p,l),u)},()=>Ne(e),t.training||!1)}return e})}};Jw.className="AlphaDropout";ne.registerClass(Jw);function Zp(e,t,n,a,r,s=.001){let i;if(e.rank===2)i=Zx(e,t,n,a,r,s);else if(e.rank===3)i=Jx(e,t,n,a,r,s);else if(e.rank===4)i=Qx(e,t,n,a,r,s);else throw new Re(`batchNormalization is not implemented for array of rank ${e.rank} yet`);return i}function $U(e,t,n,a,r=.001){return P(()=>{let s=Mc(e,a),i=s.mean,o=s.variance;return[Zp(e,i,o,n,t,r),i,o]})}function FU(e,t,n,a,r=.001){return P(()=>{let s=Mc(e,a),i=s.mean,o=s.variance,l=[];for(let h of Ha(0,e.rank))a.indexOf(h)!==-1?l.push(1):l.push(e.shape[h]);let u=W(i,l),p=W(o,l),d=t==null?null:W(t,l),c=n==null?null:W(n,l);return[Zp(e,u,p,c,d,r),i,o]})}function DU(e,t,n,a,r=.001){return v.arraysEqual(a.slice().sort(),Ha(0,e.rank-1))?$U(e,t,n,a,r):FU(e,t,n,a,r)}var Qw=class extends Ge{constructor(e){e==null&&(e={}),super(e),this.supportsMasking=!0,this.axis=e.axis==null?-1:e.axis,this.momentum=e.momentum==null?.99:e.momentum,this.epsilon=e.epsilon==null?.001:e.epsilon,this.center=e.center==null?!0:e.center,this.scale=e.scale==null?!0:e.scale,this.betaInitializer=St(e.betaInitializer||"zeros"),this.gammaInitializer=St(e.gammaInitializer||"ones"),this.movingMeanInitializer=St(e.movingMeanInitializer||"zeros"),this.movingVarianceInitializer=St(e.movingVarianceInitializer||"ones"),this.betaConstraint=Kt(e.betaConstraint),this.gammaConstraint=Kt(e.gammaConstraint),this.betaRegularizer=Tt(e.betaRegularizer),this.gammaRegularizer=Tt(e.gammaRegularizer)}build(e){e=Qe(e);let t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(n==null)throw new V(`Axis ${t} of input tensor should have a defined dimension but the layer received an input with shape ${JSON.stringify(e)}.`);this.inputSpec=[new zt({ndim:e.length,axes:{[t]:n}})];let a=[n];this.scale&&(this.gamma=this.addWeight("gamma",a,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",a,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",a,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",a,null,this.movingVarianceInitializer,null,!1),this.built=!0}call(e,t){return P(()=>{let n=t.training==null?!1:t.training,a=Ne(e),r=a.shape,s=r.length,i=Ha(0,s),o=this.axis>=0?this.axis:this.axis+s;i.splice(o,1);let l=oi(1,s);l[o]=r[o];let u=i.slice();u.sort();let p=!v.arraysEqual(u,Ha(0,s).slice(0,s-1)),d=()=>{if(p){let g=W(this.movingMean.read(),l),b=W(this.movingVariance.read(),l),y=this.center?W(this.beta.read(),l):null,x=this.scale?W(this.gamma.read(),l):null;return Zp(a,g,b,y,x,this.epsilon)}else return Zp(a,this.movingMean.read(),this.movingVariance.read(),this.beta==null?null:this.beta.read(),this.gamma==null?null:this.gamma.read(),this.epsilon)};if(!n)return d();let[c,h,m]=DU(a,this.gamma.read(),this.beta.read(),i,this.epsilon),f=(g,b,y)=>{P(()=>{let x=1-y,w=g.read(),I=z(pe(w,b),x);g.write(pe(w,I))})};return f(this.movingMean,h,this.momentum),f(this.movingVariance,m,this.momentum),c})}getConfig(){let e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:Ct(this.betaInitializer),gammaInitializer:Ct(this.gammaInitializer),movingMeanInitializer:Ct(this.movingMeanInitializer),movingVarianceInitializer:Ct(this.movingVarianceInitializer),betaRegularizer:pt(this.betaRegularizer),gammaRegularizer:pt(this.gammaRegularizer),betaConstraint:qt(this.betaConstraint),gammaConstraint:qt(this.gammaConstraint)},t=super.getConfig();return Object.assign(e,t),e}};Qw.className="BatchNormalization";ne.registerClass(Qw);var e0=class extends Ge{constructor(e){if(e==null&&(e={}),super(e),this.axis=e.axis==null?-1:e.axis,typeof this.axis=="number"){if(!Number.isInteger(this.axis))throw new Error(`Expected axis to be an integer, but received ${this.axis}`)}else if(Array.isArray(this.axis)){for(let t of this.axis)if(!Number.isInteger(t))throw new Error(`Expected axis to be an array of integers, but received ${JSON.stringify(this.axis)}`)}else throw new Error(`Expected axis to be an integer or an array of integers, but received ${JSON.stringify(this.axis)}`);this.epsilon=e.epsilon==null?.001:e.epsilon,this.center=e.center==null?!0:e.center,this.scale=e.scale==null?!0:e.scale,this.betaInitializer=St(e.betaInitializer||"zeros"),this.gammaInitializer=St(e.gammaInitializer||"ones"),this.betaRegularizer=Tt(e.betaRegularizer),this.gammaRegularizer=Tt(e.gammaRegularizer),this.supportsMasking=!0}build(e){e=Qe(e);let t=e.length;typeof this.axis=="number"&&(this.axis=[this.axis]);for(let r=0;r=t)throw new Error(`Invalid axis: ${r}`);if(this.axis.length!==Jr(this.axis).length)throw new Error(`Found duplicate axes in: ${this.axis}`);let n=this.axis.map(r=>e[r]),a=!0;this.scale?this.gamma=this.addWeight("gamma",n,"float32",this.gammaInitializer,this.gammaRegularizer,a):this.gamma=null,this.center?this.beta=this.addWeight("beta",n,"float32",this.betaInitializer,this.betaRegularizer,a):this.beta=null,this.built=!0}call(e,t){let n=Ne(e),a=n.shape,r=a.length;return P(()=>{let{mean:s,variance:i}=Mc(n,this.axis,!0),o=oi(1,r);for(let h of this.axis)o[h]=a[h];let l=h=>h!=null&&h.shape.length!==r?W(h,o):h,u=this.scale?l(this.gamma.read()):null,p=this.center?l(this.beta.read()):null,d=[],c=[];for(let h=0;h{if(e.rank!==4)throw new V(`temporalPadding expects input tensor to be 4-D, but received a ${e.rank}-D tensor.`);if(t==null&&(t=[[1,1],[1,1]]),t.length!==2||t[0].length!==2||t[1].length!==2)throw new V("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(n==null&&(n=ja()),n!=="channelsLast"&&n!=="channelsFirst")throw new V(`Unknown data format: ${n}. Supported data formats are 'channelsLast' and 'channelsFirst.`);let a;return n==="channelsFirst"?a=[[0,0],[0,0],t[0],t[1]]:a=[[0,0],t[0],t[1],[0,0]],ba(e,a)})}var t0=class extends Ge{constructor(e){if(e==null&&(e={}),super(e),this.dataFormat=e.dataFormat==null?ja():e.dataFormat,e.padding==null)this.padding=[[1,1],[1,1]];else if(typeof e.padding=="number")this.padding=[[e.padding,e.padding],[e.padding,e.padding]];else{if(e.padding=e.padding,e.padding.length!==2)throw new V(`ZeroPadding2D expects padding to be a length-2 array, but received a length-${e.padding.length} array.`);let t,n;if(typeof e.padding[0]=="number")t=[e.padding[0],e.padding[0]],n=[e.padding[1],e.padding[1]];else{if(e.padding=e.padding,e.padding[0].length!==2)throw new V(`ZeroPadding2D expects height padding to be a length-2 array, but received a length-${e.padding[0].length} array.`);if(t=e.padding[0],e.padding[1].length!==2)throw new V(`ZeroPadding2D expects width padding to be a length-2 array, but received a length-${e.padding[1].length} array.`);n=e.padding[1]}this.padding=[t,n]}this.inputSpec=[new zt({ndim:4})]}computeOutputShape(e){e=Qe(e);let t,n;return this.dataFormat==="channelsFirst"?(e[2]!=null&&e[2]>=0?t=e[2]+this.padding[0][0]+this.padding[0][1]:t=null,e[3]!=null&&e[3]>=0?n=e[3]+this.padding[1][0]+this.padding[1][1]:n=null,[e[0],e[1],t,n]):(e[1]!=null&&e[1]>=0?t=e[1]+this.padding[0][0]+this.padding[0][1]:t=null,e[2]!=null&&e[2]>=0?n=e[2]+this.padding[1][0]+this.padding[1][1]:n=null,[e[0],t,n,e[3]])}call(e,t){return P(()=>RU(Ne(e),this.padding,this.dataFormat))}getConfig(){let e={padding:this.padding,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}};t0.className="ZeroPadding2D";ne.registerClass(t0);function $f(e,t,n,a,r,s){return P(()=>{Rt(r),VT(s),ya(a),n==null&&(n=[1,1]),a==null&&(a="valid"),r==null&&(r=ja()),s==null&&(s="max"),e=kw(e,r);let i,o=a==="same"?"same":"valid";return s==="max"?i=Dt(e,t,n,o):i=ga(e,t,n,o),r==="channelsFirst"&&(i=Ee(i,[0,3,1,2])),i})}function ON(e,t,n,a,r,s){return P(()=>{Rt(r),VT(s),ya(a),n==null&&(n=[1,1,1]),a==null&&(a="valid"),r==null&&(r=ja()),s==null&&(s="max"),e=FN(e,r);let i,o=a==="same"?"same":"valid";return s==="max"?i=Sv(e,t,n,o):i=Yx(e,t,n,o),r==="channelsFirst"&&(i=Ee(i,[0,4,1,2,3])),i})}var LN=class extends Ge{constructor(e){if(e.poolSize==null&&(e.poolSize=2),super(e),typeof e.poolSize=="number")this.poolSize=[e.poolSize];else if(Array.isArray(e.poolSize)&&e.poolSize.length===1&&typeof e.poolSize[0]=="number")this.poolSize=e.poolSize;else throw new V(`poolSize for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(e.poolSize)}`);if(Qt(this.poolSize,"poolSize"),e.strides==null)this.strides=this.poolSize;else if(typeof e.strides=="number")this.strides=[e.strides];else if(Array.isArray(e.strides)&&e.strides.length===1&&typeof e.strides[0]=="number")this.strides=e.strides;else throw new V(`strides for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(e.strides)}`);Qt(this.strides,"strides"),this.padding=e.padding==null?"valid":e.padding,ya(this.padding),this.inputSpec=[new zt({ndim:3})]}computeOutputShape(e){e=Qe(e);let t=Ga(e[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]}call(e,t){return P(()=>{this.invokeCallHook(e,t),e=Uc(Ne(e),2);let n=this.poolingFunction(Ne(e),[this.poolSize[0],1],[this.strides[0],1],this.padding,"channelsLast");return ws(n,[2])})}getConfig(){let e={poolSize:this.poolSize,padding:this.padding,strides:this.strides},t=super.getConfig();return Object.assign(e,t),e}},n0=class extends LN{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Rt(r),ya(a),$f(e,t,n,a,r,"max")}};n0.className="MaxPooling1D";ne.registerClass(n0);var a0=class extends LN{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Rt(r),ya(a),$f(e,t,n,a,r,"avg")}};a0.className="AveragePooling1D";ne.registerClass(a0);var zN=class extends Ge{constructor(e){if(e.poolSize==null&&(e.poolSize=[2,2]),super(e),this.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize],e.strides==null)this.strides=this.poolSize;else if(Array.isArray(e.strides)){if(e.strides.length!==2)throw new V(`If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length ${e.strides.length}.`);this.strides=e.strides}else this.strides=[e.strides,e.strides];Qt(this.poolSize,"poolSize"),Qt(this.strides,"strides"),this.padding=e.padding==null?"valid":e.padding,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Rt(this.dataFormat),ya(this.padding),this.inputSpec=[new zt({ndim:4})]}computeOutputShape(e){e=Qe(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2];return t=Ga(t,this.poolSize[0],this.padding,this.strides[0]),n=Ga(n,this.poolSize[1],this.padding,this.strides[1]),this.dataFormat==="channelsFirst"?[e[0],e[1],t,n]:[e[0],t,n,e[3]]}call(e,t){return P(()=>(this.invokeCallHook(e,t),this.poolingFunction(Ne(e),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}},r0=class extends zN{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Rt(r),ya(a),$f(e,t,n,a,r,"max")}};r0.className="MaxPooling2D";ne.registerClass(r0);var s0=class extends zN{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Rt(r),ya(a),$f(e,t,n,a,r,"avg")}};s0.className="AveragePooling2D";ne.registerClass(s0);var WN=class extends Ge{constructor(e){if(e.poolSize==null&&(e.poolSize=[2,2,2]),super(e),this.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize,e.poolSize],e.strides==null)this.strides=this.poolSize;else if(Array.isArray(e.strides)){if(e.strides.length!==3)throw new V(`If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length ${e.strides.length}.`);this.strides=e.strides}else this.strides=[e.strides,e.strides,e.strides];Qt(this.poolSize,"poolSize"),Qt(this.strides,"strides"),this.padding=e.padding==null?"valid":e.padding,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Rt(this.dataFormat),ya(this.padding),this.inputSpec=[new zt({ndim:5})]}computeOutputShape(e){e=Qe(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2],a=this.dataFormat==="channelsFirst"?e[4]:e[3];return t=Ga(t,this.poolSize[0],this.padding,this.strides[0]),n=Ga(n,this.poolSize[1],this.padding,this.strides[1]),a=Ga(a,this.poolSize[2],this.padding,this.strides[2]),this.dataFormat==="channelsFirst"?[e[0],e[1],t,n,a]:[e[0],t,n,a,e[4]]}call(e,t){return P(()=>(this.invokeCallHook(e,t),this.poolingFunction(Ne(e),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}},i0=class extends WN{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Rt(r),ya(a),ON(e,t,n,a,r,"max")}};i0.className="MaxPooling3D";ne.registerClass(i0);var o0=class extends WN{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Rt(r),ya(a),ON(e,t,n,a,r,"avg")}};o0.className="AveragePooling3D";ne.registerClass(o0);var BN=class extends Ge{constructor(e){super(e),this.inputSpec=[new zt({ndim:3})]}computeOutputShape(e){return[e[0],e[2]]}call(e,t){throw new Re}},l0=class extends BN{constructor(e){super(e||{})}call(e,t){return P(()=>{let n=Ne(e);return Nt(n,1)})}};l0.className="GlobalAveragePooling1D";ne.registerClass(l0);var u0=class extends BN{constructor(e){super(e||{})}call(e,t){return P(()=>{let n=Ne(e);return ha(n,1)})}};u0.className="GlobalMaxPooling1D";ne.registerClass(u0);var VN=class extends Ge{constructor(e){super(e),this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Rt(this.dataFormat),this.inputSpec=[new zt({ndim:4})]}computeOutputShape(e){return e=e,this.dataFormat==="channelsLast"?[e[0],e[3]]:[e[0],e[1]]}call(e,t){throw new Re}getConfig(){let e={dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}},p0=class extends VN{call(e,t){return P(()=>{let n=Ne(e);return this.dataFormat==="channelsLast"?Nt(n,[1,2]):Nt(n,[2,3])})}};p0.className="GlobalAveragePooling2D";ne.registerClass(p0);var c0=class extends VN{call(e,t){return P(()=>{let n=Ne(e);return this.dataFormat==="channelsLast"?ha(n,[1,2]):ha(n,[2,3])})}};c0.className="GlobalMaxPooling2D";ne.registerClass(c0);var UN=class extends Ge{constructor(e){super(e),this.layer=e.layer}build(e){this.built=!0}get trainable(){return this.layer!=null?this.layer.trainable:!1}set trainable(e){this.layer!=null&&(this.layer.trainable=e)}get trainableWeights(){return this.layer.trainableWeights}get nonTrainableWeights(){return this.layer.nonTrainableWeights}get updates(){return this.layer._updates}get losses(){return this.layer.losses}getWeights(){return this.layer.getWeights()}setWeights(e){this.layer.setWeights(e)}getConfig(){let e={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},t=super.getConfig();return Object.assign(e,t),e}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),this.layer!=null&&this.layer.setFastWeightInitDuringBuild(e)}static fromConfig(e,t,n={}){let a=t.layer,r=Ua(a,n);delete t.layer;let s={layer:r};return Object.assign(s,t),new e(s)}},d0=class extends UN{constructor(e){super(e),this.supportsMasking=!0}build(e){if(e=Qe(e),e.length<3)throw new V(`TimeDistributed layer expects an input shape >= 3D, but received input shape ${JSON.stringify(e)}`);this.inputSpec=[{shape:e}];let t=[e[0]].concat(e.slice(2));this.layer.built||(this.layer.build(t),this.layer.built=!0),super.build(e)}computeOutputShape(e){e=Qe(e);let t=[e[0]].concat(e.slice(2)),n=this.layer.computeOutputShape(t),a=e[1];return[n[0],a].concat(n.slice(1))}call(e,t){return P(()=>(e=Ne(e),MN((n,a)=>[Ne(this.layer.call(n,t)),[]],e,[],!1,null,null,!1,!0)[1]))}};d0.className="TimeDistributed";ne.registerClass(d0);function MU(e){go(O4,"BidirectionalMergeMode",e)}var PU="concat",h0=class extends UN{constructor(e){super(e);let t=e.layer.getConfig(),n={};n.className=e.layer.getClassName(),n.config=t,this.forwardLayer=Ua(n),t.goBackwards=t.goBackwards!==!0;let a={};if(a.className=e.layer.getClassName(),a.config=t,this.backwardLayer=Ua(a),this.forwardLayer.name="forward_"+this.forwardLayer.name,this.backwardLayer.name="backward_"+this.backwardLayer.name,this.mergeMode=e.mergeMode===void 0?PU:e.mergeMode,MU(this.mergeMode),e.weights)throw new Re("weights support is not implemented for Bidirectional layer yet.");this._stateful=e.layer.stateful,this.returnSequences=e.layer.returnSequences,this.returnState=e.layer.returnState,this.supportsMasking=!0,this._trainable=!0,this.inputSpec=e.layer.inputSpec,this.numConstants=null}get trainable(){return this._trainable}set trainable(e){this._trainable=e,this.forwardLayer!=null&&(this.forwardLayer.trainable=e),this.backwardLayer!=null&&(this.backwardLayer.trainable=e)}getWeights(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())}setWeights(e){let t=e.length,n=Math.floor(t/2);this.forwardLayer.setWeights(e.slice(0,n)),this.backwardLayer.setWeights(e.slice(n))}computeOutputShape(e){let t=this.forwardLayer.computeOutputShape(e);Array.isArray(t)&&Array.isArray(t[0])||(t=[t]),t=t;let n,a,r;return this.returnState&&(r=t.slice(1)),n=t[0],n=n,this.mergeMode==="concat"?(n[n.length-1]*=2,a=[n]):this.mergeMode==null?a=[n,n.slice()]:a=[n],this.returnState?this.mergeMode==null?a.concat(r).concat(r.slice()):[n].concat(r).concat(r.slice()):On(a)}apply(e,t){let n=t==null?null:t.initialState,a=t==null?null:t.constants;t==null&&(t={});let r=RN(e,n,a,this.numConstants);if(e=r.inputs,n=r.initialState,a=r.constants,Array.isArray(e)&&(n=e.slice(1),e=e[0]),(n==null||n.length===0)&&a==null)return super.apply(e,t);let s=[],i=[];if(n!=null){let l=n.length;if(l%2>0)throw new V("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");t.initialState=n,s.push(...n);let u=n.map(p=>new zt({shape:p.shape}));this.forwardLayer.stateSpec=u.slice(0,l/2),this.backwardLayer.stateSpec=u.slice(l/2),i.push(...u)}if(a!=null)throw new Re("Support for constants in Bidirectional layers is not implemented yet.");let o=s[0]instanceof Ba;for(let l of s)if(l instanceof Ba!==o)throw new V("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors");if(o){let l=[e].concat(s),u=this.inputSpec.concat(i),p=this.inputSpec;this.inputSpec=u;let d=super.apply(l,t);return this.inputSpec=p,d}else return super.apply(e,t)}call(e,t){return P(()=>{let n=t.initialState,a,r;if(n==null)a=this.forwardLayer.call(e,t),r=this.backwardLayer.call(e,t);else{let o=n.slice(0,n.length/2),l=n.slice(n.length/2);a=this.forwardLayer.call(e,Object.assign(t,{initialState:o})),r=this.backwardLayer.call(e,Object.assign(t,{initialState:l}))}let s;this.returnState&&(Array.isArray(a)&&(s=a.slice(1).concat(r.slice(1))),a=a[0],r=r[0]),this.returnSequences&&(r=fa(r,1));let i;return this.mergeMode==="concat"?i=Kv([a,r]):this.mergeMode==="sum"?i=Y(a,r):this.mergeMode==="ave"?i=z(.5,Y(a,r)):this.mergeMode==="mul"?i=z(a,r):this.mergeMode==null&&(i=[a,r]),this.returnState?this.mergeMode==null?i.concat(s):[i].concat(s):i})}resetStates(e){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()}build(e){Xs(this.forwardLayer.name,()=>{this.forwardLayer.build(e)}),Xs(this.backwardLayer.name,()=>{this.backwardLayer.build(e)}),this.built=!0}computeMask(e,t){Array.isArray(t)&&(t=t[0]);let n;if(this.returnSequences?this.mergeMode==null?n=[t,t]:n=t:this.mergeMode==null?n=[null,null]:n=null,this.returnState){let a=this.forwardLayer.states.map(r=>null);return Array.isArray(n)?n.concat(a).concat(a):[n].concat(a).concat(a)}else return n}get trainableWeights(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)}get nonTrainableWeights(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),this.forwardLayer!=null&&this.forwardLayer.setFastWeightInitDuringBuild(e),this.backwardLayer!=null&&this.backwardLayer.setFastWeightInitDuringBuild(e)}getConfig(){let e={mergeMode:this.mergeMode},t=super.getConfig();return Object.assign(e,t),e}static fromConfig(e,t){let n=Ua(t.layer);if(delete t.layer,t.numConstants!=null)throw new Re("Deserialization of a Bidirectional layer with numConstants present is not supported yet.");let a=t;return a.layer=n,new e(a)}};h0.className="Bidirectional";ne.registerClass(h0);var m0=class extends Ge{constructor(e){super(e),this.scale=e.scale,e.offset?this.offset=e.offset:this.offset=0}getConfig(){let e={scale:this.scale,offset:this.offset},t=super.getConfig();return Object.assign(e,t),e}call(e,t){return P(()=>(e=Ne(e),e.dtype!=="float32"&&(e=bo(e,"float32")),Y(z(e,this.scale),this.offset)))}};m0.className="Rescaling";ne.registerClass(m0);var OU=["bilinear","nearest"],Nk=new Set(OU),f0=class extends Ge{constructor(e){if(super(e),this.height=e.height,this.width=e.width,e.interpolation)if(Nk.has(e.interpolation))this.interpolation=e.interpolation;else throw new V(`Invalid interpolation parameter: ${e.interpolation} is not implemented`);else this.interpolation="bilinear";this.cropToAspectRatio=Boolean(e.cropToAspectRatio)}computeOutputShape(e){e=Qe(e);let t=e[2];return[this.height,this.width,t]}getConfig(){let e={height:this.height,width:this.width,interpolation:this.interpolation,cropToAspectRatio:this.cropToAspectRatio},t=super.getConfig();return Object.assign(e,t),e}call(e,t){return P(()=>{let n=[this.height,this.width];if(this.interpolation==="bilinear")return za.resizeBilinear(e,n,!this.cropToAspectRatio);if(this.interpolation==="nearest")return za.resizeNearestNeighbor(e,n,!this.cropToAspectRatio);throw new Error(`Interpolation is ${this.interpolation} but only ${[...Nk]} are supported`)})}};f0.className="Resizing";ne.registerClass(f0);function LU(e,t,n,a){let r=Ne(e);if(r.dtype!=="int32"&&(r=bo(r,"int32")),t==="int")return r;let s=r.shape;if(r.rank===0&&(r=Zt(r,-1)),t==="oneHot"&&r.shape[r.shape.length-1]!==1&&(r=Zt(r,-1)),r.rank>2)throw new V(`When outputMode is not int, maximum output rank is 2 Received outputMode ${t} and input shape ${s} which would result in output rank ${r.rank}.`);let i=["multiHot","oneHot"].includes(t),o=r,l;if(typeof a!="undefined"&&t==="count"?l=Sh(o,a,n,i):l=Sh(o,[],n,i),t!=="tfIdf")return l;if(a)return z(l,a);throw new V("When outputMode is 'tfIdf', weights must be provided.")}var g0=class extends Ge{constructor(e){super(e),this.numTokens=e.numTokens,e.outputMode?this.outputMode=e.outputMode:this.outputMode="multiHot"}getConfig(){let e={numTokens:this.numTokens,outputMode:this.outputMode},t=super.getConfig();return Object.assign(e,t),e}computeOutputShape(e){return e=Qe(e),e==null?[this.numTokens]:this.outputMode==="oneHot"&&e[e.length-1]!==1?(e.push(this.numTokens),e):(e[e.length-1]=this.numTokens,e)}call(e,t){return P(()=>{e=Ne(e),e.dtype!=="int32"&&(e=bo(e,"int32"));let n;if(typeof t.countWeights!="undefined"){if(this.outputMode!=="count")throw new V(`countWeights is not used when outputMode !== count. + Received countWeights=${t.countWeights}`);n=Ne(t.countWeights)}let a=ha(e),r=il(e),s=Nn(this.numTokens,a).bufferSync().get(0),i=Er(r,0).bufferSync().get(0);if(!(s&&i))throw new V(`Input values must be between 0 < values <= numTokens with numTokens=${this.numTokens}`);return LU(e,this.outputMode,this.numTokens,n)})}};g0.className="CategoryEncoding";ne.registerClass(g0);function zU(e){return new Du(e)}function WU(e){return new xw(e)}function BU(e){return new gw(e)}function VU(e){return new bw(e)}function UU(e){return new yw(e)}function GU(e){return new ww(e)}function HU(e){return new vw(e)}function jU(e){return new Tf(e)}function qU(e){return new Xc(e)}function KU(e){return new Sw(e)}function XU(e){return new Yc(e)}function YU(e){return new Tw(e)}function ZU(e){return new Nw(e)}function JU(e){return new Cw(e)}function QU(e){return new _w(e)}function eG(e){return new Ew(e)}function tG(e){return new Ow(e)}function nG(e){return new Mw(e)}function aG(e){return new Af(e)}function rG(e){return new Rw(e)}function sG(e){return new Pw(e)}function iG(e){return new Lw(e)}function oG(e){return new zw(e)}function lG(e){return new Ww(e)}function uG(e){return new Vw(e)}function pG(e){return new Uw(e)}function cG(e){return new Hw(e)}function dG(e){return new Kw(e)}function hG(e){return new jw(e)}function mG(e){return new qw(e)}function fG(e){return new Gw(e)}function gG(e){return new Xw(e)}function bG(e){return new Qw(e)}function yG(e){return new e0(e)}function xG(e){return new t0(e)}function b0(e){return new a0(e)}function vG(e){return b0(e)}function wG(e){return b0(e)}function y0(e){return new s0(e)}function kG(e){return y0(e)}function IG(e){return y0(e)}function x0(e){return new o0(e)}function SG(e){return x0(e)}function TG(e){return x0(e)}function NG(e){return new l0(e)}function CG(e){return new p0(e)}function GN(e){return new u0(e)}function HN(e){return new c0(e)}function jN(e){return new n0(e)}function qN(e){return new r0(e)}function _G(e){return new i0(e)}function EG(e){return new $w(e)}function AG(e){return new Cf(e)}function $G(e){return new Fw(e)}function FG(e){return new Jc(e)}function DG(e){return new Aw(e)}function RG(e){return new Nf(e)}function MG(e){return new Dw(e)}function PG(e){return new Ef(e)}function OG(e){return new dr(e)}function LG(e){return new _f(e)}function zG(e){return new h0(e)}function WG(e){return new d0(e)}var BG=GN,VG=HN,UG=jN,GG=qN;function HG(e){return new Yw(e)}function jG(e){return new Zw(e)}function qG(e){return new Jw(e)}function KG(e){return new Bw(e)}function XG(e){return new m0(e)}function YG(e){return new f0(e)}function ZG(e){return new g0(e)}var KN={};Ae(KN,{MAPE:()=>lH,MSE:()=>cH,binaryAccuracy:()=>JG,binaryCrossentropy:()=>QG,categoricalAccuracy:()=>tH,categoricalCrossentropy:()=>nH,cosineProximity:()=>sH,mape:()=>uH,meanAbsoluteError:()=>iH,meanAbsolutePercentageError:()=>oH,meanSquaredError:()=>pH,mse:()=>dH,precision:()=>aH,recall:()=>rH,sparseCategoricalAccuracy:()=>eH});function JG(e,t){return uw(e,t)}function QG(e,t){return lN(e,t)}function eH(e,t){return uN(e,t)}function tH(e,t){return pw(e,t)}function nH(e,t){return cw(e,t)}function aH(e,t){return oN(e,t)}function rH(e,t){return BV(e,t)}function sH(e,t){return lw(e,t)}function iH(e,t){return If(e,t)}function oH(e,t){return Ru(e,t)}function lH(e,t){return Ru(e,t)}function uH(e,t){return Ru(e,t)}function pH(e,t){return yo(e,t)}function cH(e,t){return yo(e,t)}function dH(e,t){return yo(e,t)}var XN={};Ae(XN,{modelFromJSON:()=>bU});var YN={};Ae(YN,{l1:()=>mH,l1l2:()=>hH,l2:()=>fH});function hH(e){return new qc(e)}function mH(e){return SU(e)}function fH(e){return TU(e)}var ZN=class extends dl{constructor(){super(...arguments),this.model=null}setModel(e){if(!(e instanceof Nr))throw new Error("model must be a LayersModel, not some other Container");this.model=e}};function Yd(e,t){return et}var JN=class extends ZN{constructor(e){if(super(),e==null&&(e={}),e.restoreBestWeights)throw new Re("restoreBestWeights = True is not implemented in EarlyStopping yet.");this.monitor=e.monitor||"val_loss",this.minDelta=Math.abs(e.minDelta||0),this.patience=e.patience||0,this.verbose=e.verbose||0,this.mode=e.mode||"auto",this.baseline=e.baseline,["auto","min","max"].indexOf(this.mode)===-1&&(console.warn(`EarlyStopping mode '${this.mode}' is invalid. Falling back to mode 'auto'.`),this.mode="auto"),this.mode==="min"?this.monitorFunc=Yd:this.mode==="max"?this.monitorFunc=Ck:this.monitor.indexOf("acc")!==-1?this.monitorFunc=Ck:this.monitorFunc=Yd,this.monitorFunc===Yd&&(this.minDelta*=-1)}async onTrainBegin(e){this.wait=0,this.stoppedEpoch=0,this.baseline!=null?this.best=this.baseline:this.best=this.monitorFunc===Yd?1/0:-1/0}async onEpochEnd(e,t){await jr(t);let n=this.getMonitorValue(t);n!=null&&(this.monitorFunc(n-this.minDelta,this.best)?(this.best=n,this.wait=0):(this.wait++,this.wait>=this.patience&&(this.stoppedEpoch=e,this.model.stopTraining=!0)))}async onTrainEnd(e){this.stoppedEpoch>0&&this.verbose&&console.log(`Epoch ${this.stoppedEpoch}: early stopping.`)}getMonitorValue(e){e==null&&(e={});let t=e[this.monitor];return t==null&&console.warn(`Metric for EarlyStopping ${this.monitor} is not available. Available metrics are: ${Object.keys(e)}`),t}};function gH(e){return new JN(e)}var bH={earlyStopping:gH},yH=H();yH.registerFlag("KEEP_INTERMEDIATE_TENSORS",()=>!1,e=>{e&&console.warn("Keep intermediate tensors is ON. This will print the values of all intermediate tensors during model inference. Not all models support this mode. For details, check e2e/benchmarks/ model_config.js. This significantly impacts performance.")});var Sa;(function(e){e[e.DT_INVALID=0]="DT_INVALID",e[e.DT_FLOAT=1]="DT_FLOAT",e[e.DT_DOUBLE=2]="DT_DOUBLE",e[e.DT_INT32=3]="DT_INT32",e[e.DT_UINT8=4]="DT_UINT8",e[e.DT_INT16=5]="DT_INT16",e[e.DT_INT8=6]="DT_INT8",e[e.DT_STRING=7]="DT_STRING",e[e.DT_COMPLEX64=8]="DT_COMPLEX64",e[e.DT_INT64=9]="DT_INT64",e[e.DT_BOOL=10]="DT_BOOL",e[e.DT_QINT8=11]="DT_QINT8",e[e.DT_QUINT8=12]="DT_QUINT8",e[e.DT_QINT32=13]="DT_QINT32",e[e.DT_BFLOAT16=14]="DT_BFLOAT16",e[e.DT_QINT16=15]="DT_QINT16",e[e.DT_QUINT16=16]="DT_QUINT16",e[e.DT_UINT16=17]="DT_UINT16",e[e.DT_COMPLEX128=18]="DT_COMPLEX128",e[e.DT_HALF=19]="DT_HALF",e[e.DT_RESOURCE=20]="DT_RESOURCE",e[e.DT_VARIANT=21]="DT_VARIANT",e[e.DT_UINT32=22]="DT_UINT32",e[e.DT_UINT64=23]="DT_UINT64",e[e.DT_FLOAT_REF=101]="DT_FLOAT_REF",e[e.DT_DOUBLE_REF=102]="DT_DOUBLE_REF",e[e.DT_INT32_REF=103]="DT_INT32_REF",e[e.DT_UINT8_REF=104]="DT_UINT8_REF",e[e.DT_INT16_REF=105]="DT_INT16_REF",e[e.DT_INT8_REF=106]="DT_INT8_REF",e[e.DT_STRING_REF=107]="DT_STRING_REF",e[e.DT_COMPLEX64_REF=108]="DT_COMPLEX64_REF",e[e.DT_INT64_REF=109]="DT_INT64_REF",e[e.DT_BOOL_REF=110]="DT_BOOL_REF",e[e.DT_QINT8_REF=111]="DT_QINT8_REF",e[e.DT_QUINT8_REF=112]="DT_QUINT8_REF",e[e.DT_QINT32_REF=113]="DT_QINT32_REF",e[e.DT_BFLOAT16_REF=114]="DT_BFLOAT16_REF",e[e.DT_QINT16_REF=115]="DT_QINT16_REF",e[e.DT_QUINT16_REF=116]="DT_QUINT16_REF",e[e.DT_UINT16_REF=117]="DT_UINT16_REF",e[e.DT_COMPLEX128_REF=118]="DT_COMPLEX128_REF",e[e.DT_HALF_REF=119]="DT_HALF_REF",e[e.DT_RESOURCE_REF=120]="DT_RESOURCE_REF",e[e.DT_VARIANT_REF=121]="DT_VARIANT_REF",e[e.DT_UINT32_REF=122]="DT_UINT32_REF",e[e.DT_UINT64_REF=123]="DT_UINT64_REF"})(Sa||(Sa={}));var _k;(function(e){let t;(function(n){n[n.LEGACY=0]="LEGACY",n[n.V1=1]="V1",n[n.V2=2]="V2"})(t=e.CheckpointFormatVersion||(e.CheckpointFormatVersion={}))})(_k||(_k={}));var v0={};function xH(e,t){let n={tfOpName:e,category:"custom",inputs:[],attrs:[],customExecutor:t};v0[e]=n}function QN(e){return v0[e]}function vH(e){delete v0[e]}function k(e,t,n,a,r){let s=t.inputParams[e];if(s&&s.inputIndexStart!==void 0){let o=s.inputIndexStart,l=s.inputIndexEnd===0?void 0:s.inputIndexEnd===void 0?o+1:s.inputIndexEnd;if(s.type==="tensor")return vn(t.inputNames[s.inputIndexStart],n,a,r);if(s.type==="tensors")return t.inputNames.slice(o,l).map(d=>vn(d,n,a,r));let u=vn(t.inputNames.slice(o)[0],n,a,r),p=u.dataSync();return s.type==="number"?p[0]:v.toNestedArray(u.shape,p)}let i=t.attrParams[e];return i&&i.value}function vn(e,t,n,a){let[r,s]=Xn(e);if(a!=null){let o=a.getHashTableHandleByName(r);if(o!=null)return o}let i=n.currentContextIds.find(o=>!!t[Rh(r,o)]);return i!==void 0?t[Rh(r,i)][s]:void 0}function wH(e,t,n){return t[Rh(e,n.currentContextId)]}function ar(e,t){let[n,a,r]=Xn(e);return[Rh(n,t&&t.currentContextId),a,r]}function Rh(e,t){return t?`${e}-${t}`:e}function Xn(e){let t=e.split(":");if(t.length===1)return[e,0,void 0];let n=t[0],a=t.length===3?t[1]:void 0,r=Number(t[t.length-1]);return[n,r,a]}function sh(e,t,n){let a=k("pad",e,t,n);if(a==="explicit"){a=k("explicitPaddings",e,t,n);let r=[[0,0],[0,0],[0,0],[0,0]];for(let s=0;s<4;s++)r[s][0]=a[s*2],r[s][1]=a[s*2+1];return r}return a}function kr(e){return e.kept?e:rr(e)}var e2={};Ae(e2,{json:()=>kH});var kH=[{tfOpName:"Add",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddV2",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddN",category:"arithmetic",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"BiasAdd",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"Sub",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"RealDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Div",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"DivNoNan",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mul",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Maximum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Minimum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Pow",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SquaredDifference",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorMod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],t2={};Ae(t2,{json:()=>IH});var IH=[{tfOpName:"Abs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan2",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Ceil",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ClipByValue",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"clipValueMin",type:"number"},{start:2,name:"clipValueMax",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Complex",category:"basic_math",inputs:[{start:0,name:"real",type:"tensor"},{start:1,name:"imag",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ComplexAbs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Elu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Exp",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Floor",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Imag",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Neg",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Real",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Prelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"alpha",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu6",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Selu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sigmoid",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Rsqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Square",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sign",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Round",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Expm1",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log1p",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Reciprocal",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Softplus",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Erf",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Prod",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axes",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LeakyRelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"alpha",name:"alpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"IsNan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],n2={};Ae(n2,{json:()=>SH});var SH=[{tfOpName:"EmptyTensorList",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"maxNumElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"LoopCond",category:"control",inputs:[{start:0,name:"pred",type:"tensor"}]},{tfOpName:"Switch",category:"control",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"pred",type:"tensor"}]},{tfOpName:"Merge",category:"control",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"Enter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"frame_name",name:"frameName",type:"string"},{tfName:"is_constant",name:"isConstant",type:"bool"}]},{tfOpName:"Exit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NextIteration",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayV3",category:"control",inputs:[{start:0,name:"size",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"dynamic_size",name:"dynamicSize",type:"bool"},{tfName:"clear_after_read",name:"clearAfterRead",type:"bool"},{tfName:"identical_element_shapes",name:"identicalElementShapes",type:"bool"},{tfName:"tensor_array_name",name:"name",type:"string"}]},{tfOpName:"TensorArrayWriteV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayReadV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayGatherV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"}]},{tfOpName:"TensorArrayScatterV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArrayConcatV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape_except0",name:"elementShapeExcept0",type:"shape",notSupported:!0}]},{tfOpName:"TensorArraySplitV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"tensor",type:"tensor"},{start:2,name:"lengths",type:"number[]"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArraySizeV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}]},{tfOpName:"TensorArrayCloseV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"}]},{tfOpName:"StatelessIf",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"If",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"StatelessWhile",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"While",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"TensorListScatter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListScatterV2",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"},{start:3,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGather",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListSetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListReserve",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListFromTensor",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListStack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"},{tfName:"num_elements",name:"numElements",type:"dtype"}]},{tfOpName:"TensorListSplit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"},{start:2,name:"lengths",type:"number[]"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcat",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcatV2",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPopBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPushBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListLength",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}]},{tfOpName:"TensorListResize",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"size",type:"number"}]}],a2={};Ae(a2,{json:()=>TH});var TH=[{tfOpName:"AvgPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[],notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPoolWithArgmax",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"include_batch_in_index",name:"includeBatchInIndex",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AvgPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Conv1D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"stride",name:"stride",type:"number"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NWC"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"dilation",name:"dilation",type:"number",defaultValue:1}]},{tfOpName:"Conv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"useCudnnOnGpu",name:"useCudnnOnGpu",type:"bool"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"_FusedConv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"use_cudnn_on_gpu",name:"useCudnnOnGpu",type:"bool",defaultValue:!0},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2}]},{tfOpName:"Conv2DBackpropInput",category:"convolution",inputs:[{start:2,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:0,name:"outputShape",type:"number[]"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]",notSupported:!0}]},{tfOpName:"DepthwiseConv2d",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"DepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"FusedDepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]}]},{tfOpName:"Conv3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"Dilation2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"rates",name:"dilations",type:"number[]"},{tfName:"padding",name:"pad",type:"string"}]}],r2={};Ae(r2,{json:()=>NH});var NH=[{tfOpName:"Fill",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"},{start:1,name:"value",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"LinSpace",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"num",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"OneHot",category:"creation",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"depth",type:"number"},{start:2,name:"onValue",type:"number",defaultValue:1},{start:3,name:"offValue",type:"number",defaultValue:0}],attrs:[{tfName:"axis",name:"axis",type:"number",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Ones",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"OnesLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"RandomStandardNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"RandomUniform",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"minval",name:"minval",type:"number",defaultValue:0},{tfName:"maxval",name:"maxval",type:"number",defaultValue:1},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Range",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"step",type:"number",defaultValue:0}],attrs:[{tfName:"Tidx",name:"dtype",type:"dtype"}]},{tfOpName:"TruncatedNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"means",name:"mean",type:"number",defaultValue:0},{tfName:"stddev",name:"stdDev",type:"number",defaultValue:1},{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Zeros",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"ZerosLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Multinomial",category:"creation",inputs:[{start:0,name:"logits",type:"tensor"},{start:1,name:"numSamples",type:"number"}],attrs:[{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number"},{tfName:"T",name:"dtype",type:"dtype"},{tfName:"output_dtype",name:"output_dtype",type:"dtype"}]}],s2={};Ae(s2,{json:()=>CH});var CH=[{tfOpName:"NonMaxSuppressionV2",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV3",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV4",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"T_threshold",name:"threshold",type:"dtype",notSupported:!0},{tfName:"pad_to_max_output_size",name:"padToMaxOutputSize",type:"bool"}]},{tfOpName:"NonMaxSuppressionV5",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"},{start:5,name:"softNmsSigma",type:"number"}]},{tfOpName:"Where",category:"dynamic",inputs:[{start:0,name:"condition",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ListDiff",category:"dynamic",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],i2={};Ae(i2,{json:()=>_H});var _H=[{tfOpName:"LowerBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"TopKV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"k",type:"number"}],attrs:[{tfName:"sorted",name:"sorted",type:"bool"}]},{tfOpName:"UpperBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"Unique",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"UniqueV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]}],o2={};Ae(o2,{json:()=>EH});var EH=[{tfOpName:"PlaceholderWithDefault",category:"graph",inputs:[{start:0,name:"default",type:"tensor"}],attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Placeholder",category:"graph",attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Const",category:"graph"},{tfOpName:"Identity",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IdentityN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Snapshot",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Rank",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Size",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Shape",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"ShapeN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Print",category:"graph",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"data",type:"tensors"}],attrs:[{tfName:"message",name:"message",type:"string"},{tfName:"first_n",name:"firstN",type:"number",notSupported:!0},{tfName:"summarize",name:"summarize",type:"number",defaultValue:3}]},{tfOpName:"NoOp",category:"graph",inputs:[]},{tfOpName:"StopGradient",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"FakeQuantWithMinMaxVars",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"min",name:"min",type:"number"},{tfName:"max",name:"max",type:"number"}]}],l2={};Ae(l2,{json:()=>AH});var AH=[{tfOpName:"HashTable",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"HashTableV2",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"LookupTableImport",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableImportV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFind",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFindV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableSize",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]},{tfOpName:"LookupTableSizeV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]}],u2={};Ae(u2,{json:()=>$H});var $H=[{tfOpName:"ResizeBilinear",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ResizeNearestNeighbor",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"CropAndResize",category:"image",inputs:[{start:0,name:"image",type:"tensor"},{start:1,name:"boxes",type:"tensor"},{start:2,name:"boxInd",type:"tensor"},{start:3,name:"cropSize",type:"number[]"}],attrs:[{tfName:"method",name:"method",type:"string"},{tfName:"extrapolation_value",name:"extrapolationValue",type:"number"}]},{tfOpName:"ImageProjectiveTransformV3",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"transforms",type:"tensor"},{start:2,name:"outputShape",type:"number[]"},{start:3,name:"fillValue",type:"number"}],attrs:[{tfName:"interpolation",name:"interpolation",type:"string"},{tfName:"fill_mode",name:"fillMode",type:"string"}]}],p2={};Ae(p2,{json:()=>FH});var FH=[{tfOpName:"Equal",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NotEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Greater",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"GreaterEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Less",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LessEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalAnd",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalNot",category:"logical",inputs:[{start:0,name:"a",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalOr",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Select",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SelectV2",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],c2={};Ae(c2,{json:()=>DH});var DH=[{tfOpName:"_FusedMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMulV2",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Transpose",category:"matrices",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"perm",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Einsum",category:"matrices",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"equation",name:"equation",type:"string"},{tfName:"N",name:"n",type:"number",defaultValue:2},{tfName:"T",name:"dtype",type:"dtype"}]}],d2={};Ae(d2,{json:()=>RH});var RH=[{tfOpName:"EuclideanNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",defaultValue:!1}]},{tfOpName:"FusedBatchNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV2",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV3",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"LRN",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"depth_radius",name:"radius",type:"number",defaultValue:5},{tfName:"bias",name:"bias",type:"number",defaultValue:1},{tfName:"alpha",name:"alpha",type:"number",defaultValue:1},{tfName:"beta",name:"beta",type:"number",defaultValue:.5}]},{tfOpName:"Softmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"LogSoftmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"SparseToDense",category:"normalization",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!0,notSupported:!0}]}],h2={};Ae(h2,{json:()=>MH});var MH=[{tfOpName:"Bincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}]},{tfOpName:"DenseBincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}],attrs:[{tfName:"binary_output",name:"binaryOutput",type:"bool"}]},{tfOpName:"Max",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Mean",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Min",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Sum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"All",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Any",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"ArgMax",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"ArgMin",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"Prod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Cumprod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]},{tfOpName:"Cumsum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]}],m2={};Ae(m2,{json:()=>PH});var PH=[{tfOpName:"ConcatV2",category:"slice_join",inputs:[{start:0,end:-1,name:"tensors",type:"tensors"},{start:-1,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"Concat",category:"slice_join",inputs:[{start:1,end:0,name:"tensors",type:"tensors"},{start:0,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"GatherV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"axis",type:"number",defaultValue:0}],attrs:[{tfName:"batch_dims",name:"batchDims",type:"number",defaultValue:0}]},{tfOpName:"Gather",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",notSupported:!0}]},{tfOpName:"Reverse",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"dims",type:"bool[]"}]},{tfOpName:"ReverseV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}]},{tfOpName:"Slice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"size",type:"number[]"}]},{tfOpName:"StridedSlice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"end",type:"number[]"},{start:3,name:"strides",type:"number[]"}],attrs:[{tfName:"begin_mask",name:"beginMask",type:"number",defaultValue:0},{tfName:"end_mask",name:"endMask",type:"number",defaultValue:0},{tfName:"new_axis_mask",name:"newAxisMask",type:"number",defaultValue:0},{tfName:"ellipsis_mask",name:"ellipsisMask",type:"number",defaultValue:0},{tfName:"shrink_axis_mask",name:"shrinkAxisMask",type:"number",defaultValue:0}]},{tfOpName:"Pack",category:"slice_join",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0}]},{tfOpName:"Unpack",category:"slice_join",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0},{tfName:"num",name:"num",type:"number",defaultValue:0,notSupported:!0}]},{tfOpName:"Tile",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"reps",type:"number[]"}]},{tfOpName:"Split",category:"slice_join",inputs:[{start:0,name:"axis",type:"number",defaultValue:0},{start:1,name:"x",type:"tensor"}],attrs:[{tfName:"num_split",name:"numOrSizeSplits",type:"number",defaultValue:1}]},{tfOpName:"SplitV",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"numOrSizeSplits",type:"number[]"},{start:2,name:"axis",type:"number",defaultValue:0}]},{tfOpName:"ScatterNd",category:"slice_join",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"shape",type:"number[]"}]},{tfOpName:"GatherNd",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}]},{tfOpName:"SparseToDense",category:"slice_join",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!1,notSupported:!0}]}],f2={};Ae(f2,{json:()=>OH});var OH=[{tfOpName:"SparseFillEmptyRows",category:"sparse",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"denseShape",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}]},{tfOpName:"SparseReshape",category:"sparse",inputs:[{start:0,name:"inputIndices",type:"tensor"},{start:1,name:"inputShape",type:"tensor"},{start:2,name:"newShape",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SparseSegmentMean",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]},{tfOpName:"SparseSegmentSum",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]}],g2={};Ae(g2,{json:()=>LH});var LH=[{tfOpName:"FFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"RFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]},{tfOpName:"IRFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]}],b2={};Ae(b2,{json:()=>zH});var zH=[{tfOpName:"StringNGrams",category:"string",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"dataSplits",type:"tensor"}],attrs:[{tfName:"separator",name:"separator",type:"string"},{tfName:"ngram_widths",name:"nGramWidths",type:"number[]"},{tfName:"left_pad",name:"leftPad",type:"string"},{tfName:"right_pad",name:"rightPad",type:"string"},{tfName:"pad_width",name:"padWidth",type:"number"},{tfName:"preserve_short_sequences",name:"preserveShortSequences",type:"bool"}],outputs:["ngrams","ngrams_splits"]},{tfOpName:"StringSplit",category:"string",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"delimiter",type:"tensor"}],attrs:[{tfName:"skip_empty",name:"skipEmpty",type:"bool"}],outputs:["indices","values","shape"]},{tfOpName:"StringToHashBucketFast",category:"string",inputs:[{start:0,name:"input",type:"tensor"}],attrs:[{tfName:"num_buckets",name:"numBuckets",type:"number"}]}],y2={};Ae(y2,{json:()=>WH});var WH=[{tfOpName:"Cast",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"SrcT",name:"sdtype",type:"dtype",notSupported:!0},{tfName:"DstT",name:"dtype",type:"dtype"}]},{tfOpName:"ExpandDims",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"MirrorPad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"mode",name:"mode",type:"string"}]},{tfOpName:"Pad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"constant_value",name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"PadV2",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"},{start:2,name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"Reshape",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}]},{tfOpName:"Squeeze",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"axis",tfDeprecatedName:"squeeze_dims",name:"axis",type:"number[]"}]},{tfOpName:"SpaceToBatchND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"paddings",type:"number[]"}]},{tfOpName:"BatchToSpaceND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"crops",type:"number[]"}]},{tfOpName:"DepthToSpace",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"block_size",name:"blockSize",type:"number"},{tfName:"data_format",name:"dataFormat",type:"string"}]},{tfOpName:"BroadcastTo",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}],attrs:[]},{tfOpName:"BroadcastArgs",category:"transformation",inputs:[{start:0,name:"s0",type:"tensor"},{start:1,name:"s1",type:"tensor"}],attrs:[]}],Ek=class{constructor(){let e=[e2,t2,n2,a2,r2,s2,i2,o2,l2,u2,p2,c2,d2,h2,m2,f2,g2,b2,y2],t=[].concat(...e.map(n=>n.json));this.opMappers=t.reduce((n,a)=>(n[a.tfOpName]=a,n),{})}static get Instance(){return this._instance||(this._instance=new this)}transformGraph(e,t={}){let n=e.node,a=[],r=[],s=[],i=n.reduce((m,f)=>(m[f.name]=this.mapNode(f),f.op.startsWith("Placeholder")?a.push(m[f.name]):f.op==="Const"?r.push(m[f.name]):(f.input==null||f.input.length===0)&&s.push(m[f.name]),m),{}),o=[],l=[],u={},p={};t!=null&&(u=this.mapSignatureEntries(t.inputs),p=this.mapSignatureEntries(t.outputs));let d=Object.keys(i);d.forEach(m=>{let f=i[m];f.inputNames.forEach((g,b)=>{let[y,,x]=ar(g),w=i[y];if(w.outputs!=null){let I=w.outputs.indexOf(x);if(I!==-1){let T=`${y}:${I}`;f.inputNames[b]=T}}f.inputs.push(w),w.children.push(f)})}),Object.keys(p).length===0?d.forEach(m=>{let f=i[m];f.children.length===0&&l.push(f)}):Object.keys(p).forEach(m=>{let[f]=ar(m),g=i[f];g!=null&&(g.signatureKey=p[m],l.push(g))}),Object.keys(u).length>0?Object.keys(u).forEach(m=>{let[f]=ar(m),g=i[f];g&&(g.signatureKey=u[m],o.push(g))}):o=a;let c={};e.library!=null&&e.library.function!=null&&(c=e.library.function.reduce((m,f)=>(m[f.signature.name]=this.mapFunction(f),m),{}));let h={nodes:i,inputs:o,outputs:l,weights:r,placeholders:a,signature:t,functions:c};return s.length>0&&(h.initNodes=s),h}mapSignatureEntries(e){return Object.keys(e||{}).reduce((t,n)=>(t[e[n].name]=n,t),{})}mapNode(e){let t=QN(e.op)||this.opMappers[e.op]||{};e.attr==null&&(e.attr={});let n={name:e.name,op:e.op,category:t.category,inputNames:(e.input||[]).map(a=>a.startsWith("^")?a.slice(1):a),inputs:[],children:[],inputParams:{},attrParams:{},rawAttrs:e.attr,outputs:t.outputs};return t.inputs!=null&&(n.inputParams=t.inputs.reduce((a,r)=>(a[r.name]={type:r.type,inputIndexStart:r.start,inputIndexEnd:r.end},a),{})),t.attrs!=null&&(n.attrParams=t.attrs.reduce((a,r)=>{let s=r.type,i;switch(r.type){case"string":i=Hy(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Hy(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"string[]":i=Jy(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Jy(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"number":i=qy(e.attr,r.tfName,r.defaultValue||0),i===void 0&&!!r.tfDeprecatedName&&(i=qy(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"number[]":i=Zy(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Zy(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"bool":i=jy(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=jy(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"bool[]":i=ex(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=ex(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"shape":i=Yy(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Yy(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"shape[]":i=Qy(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Qy(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"dtype":i=Ky(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Ky(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"dtype[]":i=Xy(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Xy(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"func":i=Ak(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Ak(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"tensor":case"tensors":break;default:throw new Error(`Unsupported param type: ${r.type} for op: ${e.op}`)}return a[r.name]={value:i,type:s},a},{})),n}mapFunction(e){let t=e.nodeDef,n=[],a=[],r={};t!=null&&(r=t.reduce((u,p)=>(u[p.name]=this.mapNode(p),p.op==="Const"&&a.push(u[p.name]),u),{}));let s=[],i=[];e.signature.inputArg.forEach(u=>{let[p]=ar(u.name),d={name:p,op:"Placeholder",inputs:[],inputNames:[],category:"graph",inputParams:{},attrParams:{dtype:{value:w0(u.type),type:"dtype"}},children:[]};d.signatureKey=u.name,s.push(d),r[p]=d}),Object.keys(r).forEach(u=>{let p=r[u];p.inputNames.forEach((d,c)=>{let[h,,m]=ar(d),f=r[h];if(f.outputs!=null){let g=f.outputs.indexOf(m);if(g!==-1){let b=`${h}:${g}`;p.inputNames[c]=b}}p.inputs.push(f),f.children.push(p)})});let o=e.ret;e.signature.outputArg.forEach(u=>{let[p,d]=ar(o[u.name]),c=r[p];c!=null&&(c.defaultOutput=d,i.push(c))});let l=this.mapArgsToSignature(e);return{nodes:r,inputs:s,outputs:i,weights:a,placeholders:n,signature:l}}mapArgsToSignature(e){return{methodName:e.signature.name,inputs:e.signature.inputArg.reduce((t,n)=>(t[n.name]=this.mapArgToTensorInfo(n),t),{}),outputs:e.signature.outputArg.reduce((t,n)=>(t[n.name]=this.mapArgToTensorInfo(n,e.ret),t),{})}}mapArgToTensorInfo(e,t){let n=e.name;return t!=null&&(n=t[n]),{name:n,dtype:e.type}}};function BH(e){let t=H().global;if(typeof t.atob!="undefined")return t.atob(e);if(typeof Buffer!="undefined")return new Buffer(e,"base64").toString();throw new Error("Unable to decode base64 in this environment. Missing built-in atob() or Buffer()")}function x2(e,t){let n=Array.isArray(e)?String.fromCharCode.apply(null,e):BH(e);return t?n:n.toLowerCase()}function Hy(e,t,n,a=!1){let r=e[t];return r!=null?x2(r.s,a):n}function jy(e,t,n){let a=e[t];return a?a.b:n}function qy(e,t,n){let a=e[t]||{},r=a.i!=null?a.i:a.f!=null?a.f:n;return typeof r=="number"?r:parseInt(r,10)}function w0(e){switch(typeof e=="string"&&(e=Sa[e]),e){case Sa.DT_FLOAT:case Sa.DT_HALF:return"float32";case Sa.DT_INT32:case Sa.DT_INT64:case Sa.DT_INT8:case Sa.DT_UINT8:return"int32";case Sa.DT_BOOL:return"bool";case Sa.DT_DOUBLE:return"float32";case Sa.DT_STRING:return"string";default:return null}}function Ak(e,t,n){let a=e[t];return a&&a.func?a.func.name:n}function Ky(e,t,n){let a=e[t];return a&&a.type?w0(a.type):n}function Xy(e,t,n){let a=e[t];return a&&a.list&&a.list.type?a.list.type.map(r=>w0(r)):n}function v2(e){if(!e.unknownRank)return e.dim!=null?e.dim.map(t=>typeof t.size=="number"?t.size:parseInt(t.size,10)):[]}function Yy(e,t,n){let a=e[t];return a&&a.shape?v2(a.shape):n}function Zy(e,t,n){let a=e[t];return a?((a.list.f&&a.list.f.length?a.list.f:a.list.i)||[]).map(r=>typeof r=="number"?r:parseInt(r,10)):n}function Jy(e,t,n,a=!1){let r=e[t];return r&&r.list&&r.list.s?r.list.s.map(s=>x2(s,a)):n}function Qy(e,t,n){let a=e[t];return a&&a.list&&a.list.shape?a.list.shape.map(r=>v2(r)):n}function ex(e,t,n){let a=e[t];return a&&a.list&&a.list.b?a.list.b:n}var VH=class{constructor(e,t,n){this.node=e,this.tensorMap=t,this.context=n,this.inputs=[],this.attrs={},this.inputs=e.inputNames.map(a=>this.getInput(a)),e.rawAttrs!=null&&(this.attrs=Object.keys(e.rawAttrs).reduce((a,r)=>(a[r]=this.getAttr(r),a),{}))}getInput(e){return vn(e,this.tensorMap,this.context)}getAttr(e,t){let n=this.node.rawAttrs[e];if(n.tensor!=null)return vn(e,this.tensorMap,this.context);if(n.i!=null||n.f!=null)return qy(this.node.rawAttrs,e,t);if(n.s!=null)return Hy(this.node.rawAttrs,e,t);if(n.b!=null)return jy(this.node.rawAttrs,e,t);if(n.shape!=null)return Yy(this.node.rawAttrs,e,t);if(n.type!=null)return Ky(this.node.rawAttrs,e,t);if(n.list!=null){if(n.list.i!=null||n.list.f!=null)return Zy(this.node.rawAttrs,e,t);if(n.list.s!=null)return Jy(this.node.rawAttrs,e,t);if(n.list.shape!=null)return Qy(this.node.rawAttrs,e,t);if(n.list.b!=null)return ex(this.node.rawAttrs,e,t);if(n.list.type!=null)return Xy(this.node.rawAttrs,e,t)}return t}},un={};Ae(un,{OP_SCOPE_SUFFIX:()=>Cx,abs:()=>Lt,acos:()=>Bx,acosh:()=>Vx,add:()=>Y,addN:()=>NS,all:()=>$m,any:()=>qp,argMax:()=>ai,argMin:()=>Ux,asin:()=>Gx,asinh:()=>Hx,atan:()=>jx,atan2:()=>qx,atanh:()=>Kx,avgPool:()=>ga,avgPool3d:()=>Yx,basicLSTMCell:()=>AS,batchNorm:()=>bs,batchNorm2d:()=>Zx,batchNorm3d:()=>Jx,batchNorm4d:()=>Qx,batchToSpaceND:()=>Ac,bincount:()=>ev,booleanMaskAsync:()=>dT,broadcastArgs:()=>$S,broadcastTo:()=>Ks,buffer:()=>Pe,cast:()=>oe,ceil:()=>tv,clipByValue:()=>en,clone:()=>rr,complex:()=>Cr,concat:()=>Ze,concat1d:()=>nv,concat2d:()=>av,concat3d:()=>rv,concat4d:()=>sv,conv1d:()=>Fm,conv2d:()=>$t,conv2dTranspose:()=>Dm,conv3d:()=>ov,conv3dTranspose:()=>lv,cos:()=>$c,cosh:()=>Rm,cosineWindow:()=>tf,cumprod:()=>Kp,cumsum:()=>Mm,denseBincount:()=>Sh,depthToSpace:()=>uv,depthwiseConv2d:()=>ys,diag:()=>DS,dilation2d:()=>pv,div:()=>he,divNoNan:()=>cv,dot:()=>dv,dropout:()=>zv,einsum:()=>RS,elu:()=>Nu,enclosingPowerOfTwo:()=>Wv,equal:()=>Qn,erf:()=>hv,euclideanNorm:()=>gv,exp:()=>fn,expandDims:()=>Zt,expm1:()=>bv,eye:()=>Pm,fft:()=>zc,fill:()=>gn,floor:()=>_u,floorDiv:()=>Am,fused:()=>pl,gather:()=>Eu,gatherND:()=>gT,greater:()=>Nn,greaterEqual:()=>Er,ifft:()=>ul,imag:()=>Cc,image:()=>za,inTopKAsync:()=>bT,irfft:()=>Zm,isFinite:()=>yv,isInf:()=>xv,isNaN:()=>vv,leakyRelu:()=>Fc,less:()=>Om,lessEqual:()=>xs,linalg:()=>Uv,linspace:()=>zS,localResponseNormalization:()=>wv,log:()=>ea,log1p:()=>Dc,logSigmoid:()=>kv,logSoftmax:()=>zm,logSumExp:()=>Wm,logicalAnd:()=>Ea,logicalNot:()=>Rc,logicalOr:()=>Bm,logicalXor:()=>Iv,losses:()=>ET,lowerBound:()=>BS,matMul:()=>Fe,max:()=>ha,maxPool:()=>Dt,maxPool3d:()=>Sv,maxPoolWithArgmax:()=>VS,maximum:()=>pr,mean:()=>Nt,meshgrid:()=>US,min:()=>il,minimum:()=>Au,mirrorPad:()=>Tv,mod:()=>Nv,moments:()=>Mc,movingAverage:()=>hT,mul:()=>z,multiRNNCell:()=>GS,multinomial:()=>HS,neg:()=>yt,norm:()=>Cu,notEqual:()=>ii,oneHot:()=>rl,ones:()=>Zn,onesLike:()=>ta,op:()=>L,outerProduct:()=>jS,pad:()=>ba,pad1d:()=>qS,pad2d:()=>KS,pad3d:()=>XS,pad4d:()=>YS,pool:()=>Cv,pow:()=>_r,prelu:()=>Oc,print:()=>$x,prod:()=>_v,raggedGather:()=>ZS,raggedRange:()=>JS,raggedTensorToTensor:()=>QS,rand:()=>eT,randomGamma:()=>tT,randomNormal:()=>Um,randomStandardNormal:()=>nT,randomUniform:()=>$u,range:()=>ol,real:()=>sl,reciprocal:()=>$v,relu:()=>Xe,relu6:()=>Gm,reshape:()=>W,reverse:()=>fa,reverse1d:()=>aT,reverse2d:()=>rT,reverse3d:()=>sT,reverse4d:()=>iT,rfft:()=>Wc,round:()=>Hm,rsqrt:()=>jm,scalar:()=>ye,scatterND:()=>mT,searchSorted:()=>Vm,selu:()=>qm,separableConv2d:()=>vs,setdiff1dAsync:()=>oT,sigmoid:()=>da,sign:()=>Fv,signal:()=>_T,sin:()=>Km,sinh:()=>Xm,slice:()=>Be,slice1d:()=>Lc,slice2d:()=>Ym,slice3d:()=>mo,slice4d:()=>ll,softmax:()=>Ka,softplus:()=>ho,spaceToBatchND:()=>Pc,sparse:()=>AT,sparseToDense:()=>fT,spectral:()=>CT,split:()=>zn,sqrt:()=>ln,square:()=>ot,squaredDifference:()=>Jm,squeeze:()=>ws,stack:()=>Ft,step:()=>fo,stridedSlice:()=>Dv,string:()=>$T,sub:()=>pe,sum:()=>fe,tan:()=>Rv,tanh:()=>ri,tensor:()=>kn,tensor1d:()=>Ke,tensor2d:()=>_a,tensor3d:()=>_c,tensor4d:()=>$a,tensor5d:()=>lT,tensor6d:()=>uT,tile:()=>Ln,topk:()=>Mv,transpose:()=>Ee,truncatedNormal:()=>Qm,unique:()=>Pv,unsortedSegmentSum:()=>ef,unstack:()=>ct,upperBound:()=>pT,variable:()=>Ov,where:()=>mn,whereAsync:()=>Lv,zeros:()=>It,zerosLike:()=>qe});var UH=(e,t,n,a=un)=>{switch(e.op){case"BiasAdd":case"AddV2":case"Add":return[a.add(k("a",e,t,n),k("b",e,t,n))];case"AddN":return[a.addN(k("tensors",e,t,n))];case"FloorMod":case"Mod":return[a.mod(k("a",e,t,n),k("b",e,t,n))];case"Mul":return[a.mul(k("a",e,t,n),k("b",e,t,n))];case"RealDiv":case"Div":return[a.div(k("a",e,t,n),k("b",e,t,n))];case"DivNoNan":return[a.divNoNan(k("a",e,t,n),k("b",e,t,n))];case"FloorDiv":return[a.floorDiv(k("a",e,t,n),k("b",e,t,n))];case"Sub":return[a.sub(k("a",e,t,n),k("b",e,t,n))];case"Minimum":return[a.minimum(k("a",e,t,n),k("b",e,t,n))];case"Maximum":return[a.maximum(k("a",e,t,n),k("b",e,t,n))];case"Pow":return[a.pow(k("a",e,t,n),k("b",e,t,n))];case"SquaredDifference":return[a.squaredDifference(k("a",e,t,n),k("b",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},GH=(e,t,n,a=un)=>{switch(e.op){case"Abs":case"ComplexAbs":return[a.abs(k("x",e,t,n))];case"Acos":return[a.acos(k("x",e,t,n))];case"Acosh":return[a.acosh(k("x",e,t,n))];case"Asin":return[a.asin(k("x",e,t,n))];case"Asinh":return[a.asinh(k("x",e,t,n))];case"Atan":return[a.atan(k("x",e,t,n))];case"Atan2":return[a.atan2(k("x",e,t,n),k("y",e,t,n))];case"Atanh":return[a.atanh(k("x",e,t,n))];case"Ceil":return[a.ceil(k("x",e,t,n))];case"Complex":return[a.complex(k("real",e,t,n),k("imag",e,t,n))];case"Cos":return[a.cos(k("x",e,t,n))];case"Cosh":return[a.cosh(k("x",e,t,n))];case"Elu":return[a.elu(k("x",e,t,n))];case"Erf":return[a.erf(k("x",e,t,n))];case"Exp":return[a.exp(k("x",e,t,n))];case"Expm1":return[a.expm1(k("x",e,t,n))];case"Floor":return[a.floor(k("x",e,t,n))];case"Log":return[a.log(k("x",e,t,n))];case"Log1p":return[a.log1p(k("x",e,t,n))];case"Imag":return[a.imag(k("x",e,t,n))];case"Neg":return[a.neg(k("x",e,t,n))];case"Reciprocal":return[a.reciprocal(k("x",e,t,n))];case"Real":return[a.real(k("x",e,t,n))];case"Relu":return[a.relu(k("x",e,t,n))];case"Round":return[a.round(k("x",e,t,n))];case"Selu":return[a.selu(k("x",e,t,n))];case"Sigmoid":return[a.sigmoid(k("x",e,t,n))];case"Sin":return[a.sin(k("x",e,t,n))];case"Sign":return[a.sign(k("x",e,t,n))];case"Sinh":return[a.sinh(k("x",e,t,n))];case"Softplus":return[a.softplus(k("x",e,t,n))];case"Sqrt":return[a.sqrt(k("x",e,t,n))];case"Square":return[a.square(k("x",e,t,n))];case"Tanh":return[a.tanh(k("x",e,t,n))];case"Tan":return[a.tan(k("x",e,t,n))];case"ClipByValue":return[a.clipByValue(k("x",e,t,n),k("clipValueMin",e,t,n),k("clipValueMax",e,t,n))];case"Relu6":return[a.relu6(k("x",e,t,n))];case"Rsqrt":return[a.rsqrt(vn(e.inputNames[0],t,n))];case"Prod":return[a.prod(k("x",e,t,n),k("axes",e,t,n))];case"LeakyRelu":return[a.leakyRelu(k("x",e,t,n),k("alpha",e,t,n))];case"Prelu":return[a.prelu(k("x",e,t,n),k("alpha",e,t,n))];case"IsNan":return[a.isNaN(vn(e.inputNames[0],t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function Ca(e,t,n=""){if(!(typeof e=="number"||typeof t=="number")){v.assert(e.length===t.length,()=>n+` Shapes ${e} and ${t} must match`);for(let a=0;an+` Shapes ${e} and ${t} must match`)}}}function $k(e){return!(typeof e=="number"||e.some(t=>t<0))}function Tp(e,t,n){let a=tx(e,n),r=!$k(a);if(r&&t.length===0)throw new Error(`Tried to calculate elements of an empty list with non-fully-defined elementShape: ${a}`);if(r&&t.forEach(s=>{a=tx(s.shape,a)}),!$k(a))throw new Error(`Non-fully-defined elementShape: ${a}`);return a}function tx(e,t){if(typeof e=="number")return t;if(typeof t=="number")return e;if(e.length!==t.length)throw new Error(`Incompatible ranks during merge: ${e} vs. ${t}`);let n=[];for(let a=0;a=0&&s>=0&&r!==s)throw new Error(`Incompatible shape during merge: ${e} vs. ${t}`);n[a]=r>=0?r:s}return n}var HH=class{constructor(e,t,n,a,r,s,i){this.name=e,this.dtype=t,this.maxSize=n,this.elementShape=a,this.identicalElementShapes=r,this.dynamicSize=s,this.clearAfterRead=i,this.tensors=[],this.closed_=!1,this.idTensor=ye(0),Jt(this.idTensor)}get id(){return this.idTensor.id}get closed(){return this.closed_}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.tensor.id))&&t.tensor.dispose()}),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}size(){return this.tensors.length}read(e){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||e>=this.size())throw new Error(`Tried to read from index ${e}, but array size is: ${this.size()}`);let t=this.tensors[e];if(t.cleared)throw new Error(`TensorArray ${this.name}: Could not read index ${e} twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).`);return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor}readMany(e){return e.map(t=>this.read(t))}write(e,t){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error(`Tried to write to index ${e}, but array is not resizeable and size is: ${this.maxSize}`);let n=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, + because the value dtype is ${t.dtype}, but TensorArray dtype is ${this.dtype}.`);if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=t.shape),Ca(this.elementShape,t.shape,`TensorArray ${this.name}: Could not write to TensorArray index ${e}.`),n.read)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been read.`);if(n.written)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been written.`);n.tensor=t,Jt(t),n.written=!0,this.tensors[e]=n}writeMany(e,t){if(e.length!==t.length)throw new Error(`TensorArray ${this.name}: could not write multiple tensors,because the index size: ${e.length} is not the same as tensors size: ${t.length}.`);e.forEach((n,a)=>this.write(n,t[a]))}gather(e,t){if(!!t&&t!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but gather requested dtype ${t}`);if(e)e=e.slice(0,this.size());else{e=[];for(let a=0;a=this.maxSize)throw new Error(`Max index must be < array size (${n} vs. ${this.maxSize})`);this.writeMany(e,ct(t,0))}split(e,t){if(t.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${t.dtype}`);let n=0,a=e.map(o=>(n+=o,n));if(n!==t.shape[0])throw new Error(`Expected sum of lengths to be equal to tensor.shape[0], but sum of lengths is - ${n}, and tensor's shape is: ${t.shape}`);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${e.length}), and the TensorArray is not marked as dynamically resizeable`);let r=n===0?0:t.size/n,s=[];P(()=>{t=B(t,[1,n,r]);for(let o=0;o{if(n!==r.dtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${r.dtype}`);Ta(t,r.shape,"TensorList shape mismatch: "),Zt(r)}),this.idTensor=ye(0),this.maxNumElements=a,Zt(this.idTensor)}get id(){return this.idTensor.id}copy(){return new dl([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.id))&&t.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(e,t,n=-1){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(n!==-1&&this.tensors.length!==n)throw new Error(`Operation expected a list with ${n} elements but got a list with ${this.tensors.length} elements.`);Ta(e,this.elementShape,"TensorList shape mismatch: ");let a=Ip(this.elementShape,this.tensors,e);return P(()=>{let r=this.tensors.map(s=>B(s,a));return Ft(r,0)})}popBack(e,t){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(this.size()===0)throw new Error("Trying to pop from an empty list.");let n=Ip(this.elementShape,this.tensors,e),a=this.tensors.pop();return a.kept=!1,Ta(a.shape,e,"TensorList shape mismatch: "),B(a,n)}pushBack(e){if(e.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`);if(Ta(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");Zt(e),this.tensors.push(e)}resize(e){if(e<0)throw new Error(`TensorListResize expects size to be non-negative. Got: ${e}`);if(this.maxNumElements!==-1&&e>this.maxNumElements)throw new Error(`TensorListResize input size ${e} is greater maxNumElement ${this.maxNumElements}.`);let t=new dl([],this.elementShape,this.elementDtype,this.maxNumElements);t.tensors.length=e;for(let n=0;nthis.tensors.length)throw new Error(`Trying to access element ${e} in a list with ${this.tensors.length} elements.`);if(this.tensors[e]==null)throw new Error(`element at index ${e} is null.`);Ta(this.tensors[e].shape,t,"TensorList shape mismatch: ");let a=Ip(this.elementShape,this.tensors,t);return B(this.tensors[e],a)}setItem(e,t){if(t.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t.dtype}, but list elements ${this.elementDtype}`);if(e<0||this.maxNumElements!==-1&&e>=this.maxNumElements)throw new Error(`Trying to set element ${e} in a list with max ${this.maxNumElements} elements.`);Ta(this.elementShape,t.shape,"TensorList shape mismatch: "),Zt(t),this.tensors[e]!=null&&(this.tensors[e].kept=!1),this.tensors[e]=t}gather(e,t,n){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);Ta(this.elementShape,n,"TensorList shape mismatch: "),e=e.slice(0,this.size());let a=Ip(this.elementShape,this.tensors,n);return e.length===0?On([],[0].concat(a)):P(()=>{let r=e.map(s=>B(this.tensors[s],a));return Ft(r,0)})}concat(e,t){if(!!e&&e!==this.elementDtype)throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${e}`);Ta(this.elementShape,t,"TensorList shape mismatch: ");let n=Ip(this.elementShape,this.tensors,t);return this.size()===0?On([],[0].concat(n)):P(()=>{let a=this.tensors.map(r=>B(r,n));return Ze(a,0)})}};function RH(e,t,n){let a=e.dtype;if(e.shape.length<1)throw new Error(`Tensor must be at least a vector, but saw shape: ${e.shape}`);if(e.dtype!==n)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${n}`);let r=e.shape.slice(1);Ta(r,t,"TensorList shape mismatch: ");let s=ct(e);return new dl(s,t,a)}function MH(e,t,n,a){return new dl([],e,t,a)}function PH(e,t,n,a){if(t.length!==e.shape[0])throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${t.length} vs. ${e.shape[0]}`);let r=Math.max(...t);if(a!=null&&a!==-1&&r>=a)throw new Error(`Max index must be < array size (${r} vs. ${a})`);let s=new dl([],n,e.dtype,a),i=ct(e,0);return t.forEach((o,l)=>{s.setItem(o,i[l])}),s}function OH(e,t,n){let a=0,r=t.map(p=>(a+=p,a));if(a!==e.shape[0])throw new Error(`Expected sum of lengths to be equal to + ${n}, and tensor's shape is: ${t.shape}`);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${e.length}), and the TensorArray is not marked as dynamically resizeable`);let r=n===0?0:t.size/n,s=[];P(()=>{t=W(t,[1,n,r]);for(let o=0;o{if(n!==r.dtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${r.dtype}`);Ca(t,r.shape,"TensorList shape mismatch: "),Jt(r)}),this.idTensor=ye(0),this.maxNumElements=a,Jt(this.idTensor)}get id(){return this.idTensor.id}copy(){return new ml([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.id))&&t.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(e,t,n=-1){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(n!==-1&&this.tensors.length!==n)throw new Error(`Operation expected a list with ${n} elements but got a list with ${this.tensors.length} elements.`);Ca(e,this.elementShape,"TensorList shape mismatch: ");let a=Tp(this.elementShape,this.tensors,e);return P(()=>{let r=this.tensors.map(s=>W(s,a));return Ft(r,0)})}popBack(e,t){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(this.size()===0)throw new Error("Trying to pop from an empty list.");let n=Tp(this.elementShape,this.tensors,e),a=this.tensors.pop();return a.kept=!1,Ca(a.shape,e,"TensorList shape mismatch: "),W(a,n)}pushBack(e){if(e.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`);if(Ca(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");Jt(e),this.tensors.push(e)}resize(e){if(e<0)throw new Error(`TensorListResize expects size to be non-negative. Got: ${e}`);if(this.maxNumElements!==-1&&e>this.maxNumElements)throw new Error(`TensorListResize input size ${e} is greater maxNumElement ${this.maxNumElements}.`);let t=new ml([],this.elementShape,this.elementDtype,this.maxNumElements);t.tensors.length=e;for(let n=0;nthis.tensors.length)throw new Error(`Trying to access element ${e} in a list with ${this.tensors.length} elements.`);if(this.tensors[e]==null)throw new Error(`element at index ${e} is null.`);Ca(this.tensors[e].shape,t,"TensorList shape mismatch: ");let a=Tp(this.elementShape,this.tensors,t);return W(this.tensors[e],a)}setItem(e,t){if(t.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t.dtype}, but list elements ${this.elementDtype}`);if(e<0||this.maxNumElements!==-1&&e>=this.maxNumElements)throw new Error(`Trying to set element ${e} in a list with max ${this.maxNumElements} elements.`);Ca(this.elementShape,t.shape,"TensorList shape mismatch: "),Jt(t),this.tensors[e]!=null&&(this.tensors[e].kept=!1),this.tensors[e]=t}gather(e,t,n){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);Ca(this.elementShape,n,"TensorList shape mismatch: "),e=e.slice(0,this.size());let a=Tp(this.elementShape,this.tensors,n);return e.length===0?kn([],[0].concat(a)):P(()=>{let r=e.map(s=>W(this.tensors[s],a));return Ft(r,0)})}concat(e,t){if(!!e&&e!==this.elementDtype)throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${e}`);Ca(this.elementShape,t,"TensorList shape mismatch: ");let n=Tp(this.elementShape,this.tensors,t);return this.size()===0?kn([],[0].concat(n)):P(()=>{let a=this.tensors.map(r=>W(r,n));return Ze(a,0)})}};function jH(e,t,n){let a=e.dtype;if(e.shape.length<1)throw new Error(`Tensor must be at least a vector, but saw shape: ${e.shape}`);if(e.dtype!==n)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${n}`);let r=e.shape.slice(1);Ca(r,t,"TensorList shape mismatch: ");let s=ct(e);return new ml(s,t,a)}function qH(e,t,n,a){return new ml([],e,t,a)}function KH(e,t,n,a){if(t.length!==e.shape[0])throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${t.length} vs. ${e.shape[0]}`);let r=Math.max(...t);if(a!=null&&a!==-1&&r>=a)throw new Error(`Max index must be < array size (${r} vs. ${a})`);let s=new ml([],n,e.dtype,a),i=ct(e,0);return t.forEach((o,l)=>{s.setItem(o,i[l])}),s}function XH(e,t,n){let a=0,r=t.map(p=>(a+=p,a));if(a!==e.shape[0])throw new Error(`Expected sum of lengths to be equal to tensor.shape[0], but sum of lengths is - ${a}, and tensor's shape is: ${e.shape}`);let s=e.shape.slice(1),i=Qy(s,n),o=a===0?0:e.size/a,l=P(()=>{let p=[];e=B(e,[1,a,o]);for(let d=0;d{switch(e.op){case"If":case"StatelessIf":{let a=k("thenBranch",e,t,n),r=k("elseBranch",e,t,n),s=k("cond",e,t,n),i=k("args",e,t,n);return(await s.data())[0]?n.functionMap[a].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap):n.functionMap[r].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap)}case"While":case"StatelessWhile":{let a=k("body",e,t,n),r=k("cond",e,t,n),s=k("args",e,t,n),i=await n.functionMap[r].executeFunctionAsync(s,n.tensorArrayMap,n.tensorListMap),o=s.map(p=>p.id),l=await i[0].data();i.forEach(p=>{!p.kept&&o.indexOf(p.id)===-1&&p.dispose()});let u=s;for(;l[0];){let p=u;u=await n.functionMap[a].executeFunctionAsync(u,n.tensorArrayMap,n.tensorListMap);let d=u.map(h=>h.id);p.forEach(h=>{!h.kept&&o.indexOf(h.id)===-1&&d.indexOf(h.id)===-1&&h.dispose()});let c=await n.functionMap[r].executeFunctionAsync(u,n.tensorArrayMap,n.tensorListMap);l=await c[0].data(),c.forEach(h=>{!h.kept&&o.indexOf(h.id)===-1&&d.indexOf(h.id)===-1&&h.dispose()})}return u}case"LoopCond":{let a=k("pred",e,t,n);return[wr(a)]}case"Switch":{let a=k("pred",e,t,n),r=k("data",e,t,n);return r.kept||(r=wr(r)),(await a.data())[0]?[void 0,r]:[r,void 0]}case"Merge":{let a=e.inputNames.find(r=>vn(r,t,n)!==void 0);if(a){let r=vn(a,t,n);return[wr(r)]}return}case"Enter":{let a=k("frameName",e,t,n),r=k("tensor",e,t,n);return n.enterFrame(a),[wr(r)]}case"Exit":{let a=k("tensor",e,t,n);return n.exitFrame(),[wr(a)]}case"NextIteration":{let a=k("tensor",e,t,n);return n.nextIteration(),[wr(a)]}case"TensorArrayV3":{let a=k("size",e,t,n),r=k("dtype",e,t,n),s=k("elementShape",e,t,n),i=k("dynamicSize",e,t,n),o=k("clearAfterRead",e,t,n),l=k("identicalElementShapes",e,t,n),u=k("name",e,t,n),p=new DH(u,r,a,s,l,i,o);return n.addTensorArray(p),[p.idTensor,ye(1)]}case"TensorArrayWriteV3":{let a=k("tensorArrayId",e,t,n),r=k("index",e,t,n),s=k("tensor",e,t,n),i=n.getTensorArray(a.id);return i.write(r,s),[i.idTensor]}case"TensorArrayReadV3":{let a=k("tensorArrayId",e,t,n),r=k("index",e,t,n);return[n.getTensorArray(a.id).read(r)]}case"TensorArrayGatherV3":{let a=k("tensorArrayId",e,t,n),r=k("indices",e,t,n),s=k("dtype",e,t,n);return[n.getTensorArray(a.id).gather(r,s)]}case"TensorArrayScatterV3":{let a=k("tensorArrayId",e,t,n),r=k("indices",e,t,n),s=k("tensor",e,t,n),i=n.getTensorArray(a.id);return i.scatter(r,s),[i.idTensor]}case"TensorArrayConcatV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id),s=k("dtype",e,t,n);return[r.concat(s)]}case"TensorArraySplitV3":{let a=k("tensorArrayId",e,t,n),r=k("tensor",e,t,n),s=k("lengths",e,t,n),i=n.getTensorArray(a.id);return i.split(s,r),[i.idTensor]}case"TensorArraySizeV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id);return[ye(r.size(),"int32")]}case"TensorArrayCloseV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id);return r.clearAndClose(),[r.idTensor]}case"TensorListSetItem":{let a=k("tensorListId",e,t,n),r=k("index",e,t,n),s=k("tensor",e,t,n),i=n.getTensorList(a.id);return i.setItem(r,s),[i.idTensor]}case"TensorListGetItem":{let a=k("tensorListId",e,t,n),r=k("index",e,t,n),s=k("elementShape",e,t,n),i=k("elementDType",e,t,n);return[n.getTensorList(a.id).getItem(r,s,i)]}case"TensorListScatterV2":case"TensorListScatter":{let a=k("indices",e,t,n),r=k("tensor",e,t,n),s=k("elementShape",e,t,n),i=k("numElements",e,t,n),o=PH(r,a,s,i);return n.addTensorList(o),[o.idTensor]}case"TensorListReserve":case"EmptyTensorList":{let a=k("elementShape",e,t,n),r=k("elementDType",e,t,n),s;e.op==="TensorListReserve"?s="numElements":s="maxNumElements";let i=k(s,e,t,n),o=e.op==="TensorListReserve"?-1:i,l=MH(a,r,i,o);return n.addTensorList(l),[l.idTensor]}case"TensorListGather":{let a=k("tensorListId",e,t,n),r=k("indices",e,t,n),s=k("elementShape",e,t,n),i=k("elementDType",e,t,n);return[n.getTensorList(a.id).gather(r,i,s)]}case"TensorListStack":{let a=k("tensorListId",e,t,n),r=k("elementShape",e,t,n),s=k("elementDType",e,t,n),i=k("numElements",e,t,n);return[n.getTensorList(a.id).stack(r,s,i)]}case"TensorListFromTensor":{let a=k("tensor",e,t,n),r=k("elementShape",e,t,n),s=k("elementDType",e,t,n),i=RH(a,r,s);return n.addTensorList(i),[i.idTensor]}case"TensorListConcat":case"TensorListConcatV2":{let a=k("tensorListId",e,t,n),r=n.getTensorList(a.id),s=k("dtype",e,t,n),i=k("elementShape",e,t,n);return[r.concat(s,i)]}case"TensorListPushBack":{let a=k("tensorListId",e,t,n),r=k("tensor",e,t,n),s=n.getTensorList(a.id);return s.pushBack(r),[s.idTensor]}case"TensorListPopBack":{let a=k("tensorListId",e,t,n),r=k("elementShape",e,t,n),s=k("elementDType",e,t,n);return[n.getTensorList(a.id).popBack(r,s)]}case"TensorListSplit":{let a=k("tensor",e,t,n),r=k("elementShape",e,t,n),s=k("lengths",e,t,n),i=OH(a,s,r);return n.addTensorList(i),[i.idTensor]}case"TensorListLength":{let a=k("tensorListId",e,t,n),r=n.getTensorList(a.id);return[ye(r.size(),"int32")]}case"TensorListResize":{let a=k("tensorListId",e,t,n),r=k("size",e,t,n),s=n.getTensorList(a.id).resize(r);return n.addTensorList(s),[s.idTensor]}default:throw TypeError(`Node type ${e.op} is not implemented`)}};function Ck(e,t,n){let[a,r]=k("fusedOps",e,t,n),s=a==="biasadd",i=!s,o=r==="prelu",l=a==="fusedbatchnorm",u=k("numArgs",e,t,n);if(s){if(o&&u!==2)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!o&&s&&u!==1)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(l)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported");let p=k("strides",e,t,n),d=rh(e,t,n),c=k("dataFormat",e,t,n).toUpperCase(),h=k("dilations",e,t,n),[m,f]=k("args",e,t,n);i&&(f=m,m=void 0);let g=k("leakyreluAlpha",e,t,n);return{stride:p,pad:d,dataFormat:c,dilations:h,biasArg:m,preluArg:f,activationFunc:r,leakyreluAlpha:g}}var zH=(e,t,n,a=ln)=>{switch(e.op){case"Conv1D":{let r=k("stride",e,t,n),s=k("pad",e,t,n),i=k("dataFormat",e,t,n).toUpperCase(),o=k("dilation",e,t,n);return[a.conv1d(k("x",e,t,n),k("filter",e,t,n),r,s,i,o)]}case"Conv2D":{let r=k("strides",e,t,n),s=rh(e,t,n),i=k("dataFormat",e,t,n).toUpperCase(),o=k("dilations",e,t,n);return[a.conv2d(k("x",e,t,n),k("filter",e,t,n),[r[1],r[2]],s,i,[o[1],o[2]])]}case"_FusedConv2D":{let{stride:r,pad:s,dataFormat:i,dilations:o,biasArg:l,preluArg:u,activationFunc:p,leakyreluAlpha:d}=Ck(e,t,n);return[a.fused.conv2d({x:k("x",e,t,n),filter:k("filter",e,t,n),strides:[r[1],r[2]],pad:s,dataFormat:i,dilations:[o[1],o[2]],bias:l,activation:p,preluActivationWeights:u,leakyreluAlpha:d})]}case"FusedDepthwiseConv2dNative":{let{stride:r,pad:s,dataFormat:i,dilations:o,biasArg:l,preluArg:u,activationFunc:p,leakyreluAlpha:d}=Ck(e,t,n);return[a.fused.depthwiseConv2d({x:k("x",e,t,n),filter:k("filter",e,t,n),strides:[r[1],r[2]],pad:s,dataFormat:i,dilations:[o[1],o[2]],bias:l,activation:p,preluActivationWeights:u,leakyreluAlpha:d})]}case"Conv2DBackpropInput":case"Conv2dTranspose":{let r=k("outputShape",e,t,n),s=k("strides",e,t,n),i=rh(e,t,n);return[a.conv2dTranspose(k("x",e,t,n),k("filter",e,t,n),r,[s[1],s[2]],i)]}case"DepthwiseConv2dNative":case"DepthwiseConv2d":{let r=k("strides",e,t,n),s=rh(e,t,n),i=k("dilations",e,t,n),o=k("dataFormat",e,t,n).toUpperCase();return[a.depthwiseConv2d(k("input",e,t,n),k("filter",e,t,n),[r[1],r[2]],s,o,[i[1],i[2]])]}case"Conv3D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("dataFormat",e,t,n).toUpperCase(),o=k("dilations",e,t,n);return[a.conv3d(k("x",e,t,n),k("filter",e,t,n),[r[1],r[2],r[3]],s,i,[o[1],o[2],o[3]])]}case"AvgPool":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.avgPool(k("x",e,t,n),[i[1],i[2]],[r[1],r[2]],s)]}case"MaxPool":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.maxPool(k("x",e,t,n),[i[1],i[2]],[r[1],r[2]],s)]}case"MaxPoolWithArgmax":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n),o=k("includeBatchInIndex",e,t,n),{result:l,indexes:u}=a.maxPoolWithArgmax(k("x",e,t,n),[i[1],i[2]],[r[1],r[2]],s,o);return[l,u]}case"AvgPool3D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.avgPool3d(k("x",e,t,n),[i[1],i[2],i[3]],[r[1],r[2],r[3]],s)]}case"MaxPool3D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.maxPool3d(k("x",e,t,n),[i[1],i[2],i[3]],[r[1],r[2],r[3]],s)]}case"Dilation2D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("dilations",e,t,n),o=r[1],l=r[2],u=i[1],p=i[2];return[a.dilation2d(k("x",e,t,n),k("filter",e,t,n),[o,l],s,[u,p],"NHWC")]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},BH=(e,t,n,a=ln)=>{switch(e.op){case"Fill":{let r=k("shape",e,t,n),s=k("dtype",e,t,n),i=k("value",e,t,n);return[a.fill(r,i,s)]}case"LinSpace":{let r=k("start",e,t,n),s=k("stop",e,t,n),i=k("num",e,t,n);return[a.linspace(r,s,i)]}case"Multinomial":{let r=k("logits",e,t,n),s=k("numSamples",e,t,n),i=k("seed",e,t,n);return[a.multinomial(r,s,i)]}case"OneHot":{let r=k("indices",e,t,n),s=k("depth",e,t,n),i=k("onValue",e,t,n),o=k("offValue",e,t,n),l=k("dtype",e,t,n);return[a.oneHot(r,s,i,o,l)]}case"Ones":return[a.ones(k("shape",e,t,n),k("dtype",e,t,n))];case"OnesLike":return[a.onesLike(k("x",e,t,n))];case"RandomStandardNormal":return[a.randomStandardNormal(k("shape",e,t,n),k("dtype",e,t,n),k("seed",e,t,n))];case"RandomUniform":return[a.randomUniform(k("shape",e,t,n),k("minval",e,t,n),k("maxval",e,t,n),k("dtype",e,t,n))];case"Range":{let r=k("start",e,t,n),s=k("stop",e,t,n),i=k("step",e,t,n);return[a.range(r,s,i,k("dtype",e,t,n))]}case"TruncatedNormal":{let r=k("shape",e,t,n),s=k("mean",e,t,n),i=k("stdDev",e,t,n),o=k("seed",e,t,n);return[a.truncatedNormal(r,s,i,k("dtype",e,t,n),o)]}case"Zeros":return[a.zeros(k("shape",e,t,n),k("dtype",e,t,n))];case"ZerosLike":return[a.zerosLike(k("x",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function dy(e,t,n){let a=k("boxes",e,t,n),r=k("scores",e,t,n),s=k("maxOutputSize",e,t,n),i=k("iouThreshold",e,t,n),o=k("scoreThreshold",e,t,n),l=k("softNmsSigma",e,t,n);return{boxes:a,scores:r,maxOutputSize:s,iouThreshold:i,scoreThreshold:o,softNmsSigma:l}}var WH=async(e,t,n,a,r=ln)=>{switch(e.op){case"NonMaxSuppressionV5":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u,softNmsSigma:p}=dy(e,t,n),d=await r.image.nonMaxSuppressionWithScoreAsync(s,i,o,l,u,p);return[d.selectedIndices,d.selectedScores]}case"NonMaxSuppressionV4":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u}=dy(e,t,n),p=k("padToMaxOutputSize",e,t,n),d=await r.image.nonMaxSuppressionPaddedAsync(s,i,o,l,u,p);return[d.selectedIndices,d.validOutputs]}case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u}=dy(e,t,n);return[await r.image.nonMaxSuppressionAsync(s,i,o,l,u)]}case"Where":{let s=r.cast(k("condition",e,t,n),"bool"),i=[await r.whereAsync(s)];return s.dispose(),i}case"ListDiff":return r.setdiff1dAsync(k("x",e,t,n),k("y",e,t,n));default:throw TypeError(`Node type ${e.op} is not implemented`)}},VH=(e,t,n,a=ln)=>{switch(e.op){case"LowerBound":{let r=k("sortedSequence",e,t,n),s=k("values",e,t,n);return[a.lowerBound(r,s)]}case"TopKV2":{let r=k("x",e,t,n),s=k("k",e,t,n),i=k("sorted",e,t,n),o=a.topk(r,s,i);return[o.values,o.indices]}case"UpperBound":{let r=k("sortedSequence",e,t,n),s=k("values",e,t,n);return[a.upperBound(r,s)]}case"Unique":{let r=k("x",e,t,n),s=a.unique(r);return[s.values,s.indices]}case"UniqueV2":{let r=k("x",e,t,n),s=k("axis",e,t,n),i=a.unique(r,s);return[i.values,i.indices]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},UH=(e,t,n,a=ln)=>{switch(e.op){case"Const":return t[e.name];case"PlaceholderWithDefault":let r=k("default",e,t,n);return[vn(e.name,t,n)||r];case"Placeholder":return[vn(e.name,t,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":{let p=k("x",e,t,n);return[wr(p)]}case"IdentityN":return k("x",e,t,n).map(p=>wr(p));case"Snapshot":let s=k("x",e,t,n);return[wr(s)];case"Shape":return[a.tensor1d(k("x",e,t,n).shape,"int32")];case"ShapeN":return k("x",e,t,n).map(p=>a.tensor1d(p.shape));case"Size":return[a.scalar(k("x",e,t,n).size,"int32")];case"Rank":return[a.scalar(k("x",e,t,n).rank,"int32")];case"NoOp":return[a.scalar(1)];case"Print":let i=k("x",e,t,n),o=k("data",e,t,n),l=k("message",e,t,n),u=k("summarize",e,t,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(l);for(let p=0;pe.dispose()),this.tensorMap.clear(),this.handle.dispose()}size(){return this.tensorMap.size}tensorSize(){return ye(this.size(),"int32")}async import(e,t){this.checkKeyAndValueTensor(e,t);let n=await e.data();return this.tensorMap.forEach(a=>a.dispose()),this.tensorMap.clear(),P(()=>{let a=ct(t),r=n.length,s=a.length;v.assert(r===s,()=>`The number of elements doesn't match, keys has ${r} elements, the values has ${s} elements.`);for(let i=0;i{let a=[];for(let r=0;r{switch(e.op){case"HashTable":case"HashTableV2":{let r=k("keyDType",e,t,n),s=k("valueDType",e,t,n),i=new GH(r,s);return a.addHashTable(e.name,i),[i.handle]}case"LookupTableImport":case"LookupTableImportV2":{let r=k("tableHandle",e,t,n,a),s=k("keys",e,t,n),i=k("values",e,t,n);return[await a.getHashTableById(r.id).import(s,i)]}case"LookupTableFind":case"LookupTableFindV2":{let r=k("tableHandle",e,t,n,a),s=k("keys",e,t,n),i=k("defaultValue",e,t,n);return[await a.getHashTableById(r.id).find(s,i)]}case"LookupTableSize":case"LookupTableSizeV2":{let r=k("tableHandle",e,t,n,a);return[a.getHashTableById(r.id).tensorSize()]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},jH=(e,t,n,a=ln)=>{switch(e.op){case"ResizeBilinear":{let r=k("images",e,t,n),s=k("size",e,t,n),i=k("alignCorners",e,t,n),o=k("halfPixelCenters",e,t,n);return[a.image.resizeBilinear(r,[s[0],s[1]],i,o)]}case"ResizeNearestNeighbor":{let r=k("images",e,t,n),s=k("size",e,t,n),i=k("alignCorners",e,t,n),o=k("halfPixelCenters",e,t,n);return[a.image.resizeNearestNeighbor(r,[s[0],s[1]],i,o)]}case"CropAndResize":{let r=k("image",e,t,n),s=k("boxes",e,t,n),i=k("boxInd",e,t,n),o=k("cropSize",e,t,n),l=k("method",e,t,n),u=k("extrapolationValue",e,t,n);return[a.image.cropAndResize(r,s,i,o,l,u)]}case"ImageProjectiveTransformV3":{let r=k("images",e,t,n),s=k("transforms",e,t,n),i=k("outputShape",e,t,n),o=k("fillValue",e,t,n),l=k("interpolation",e,t,n),u=k("fillMode",e,t,n);return[a.image.transform(r,s,l.toLowerCase(),u.toLowerCase(),o,i)]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},qH=(e,t,n,a=ln)=>{switch(e.op){case"Equal":return[a.equal(k("a",e,t,n),k("b",e,t,n))];case"NotEqual":return[a.notEqual(k("a",e,t,n),k("b",e,t,n))];case"Greater":return[a.greater(k("a",e,t,n),k("b",e,t,n))];case"GreaterEqual":return[a.greaterEqual(k("a",e,t,n),k("b",e,t,n))];case"Less":return[a.less(k("a",e,t,n),k("b",e,t,n))];case"LessEqual":return[a.lessEqual(k("a",e,t,n),k("b",e,t,n))];case"LogicalAnd":return[a.logicalAnd(k("a",e,t,n),k("b",e,t,n))];case"LogicalNot":return[a.logicalNot(k("a",e,t,n))];case"LogicalOr":return[a.logicalOr(k("a",e,t,n),k("b",e,t,n))];case"Select":case"SelectV2":return[a.where(k("condition",e,t,n),k("a",e,t,n),k("b",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},KH=(e,t,n,a=ln)=>{switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[a.matMul(k("a",e,t,n),k("b",e,t,n),k("transposeA",e,t,n),k("transposeB",e,t,n))];case"Einsum":return[a.einsum(k("equation",e,t,n),...k("tensors",e,t,n))];case"Transpose":return[a.transpose(k("x",e,t,n),k("perm",e,t,n))];case"_FusedMatMul":let[r,s]=k("fusedOps",e,t,n),i=r==="biasadd",o=s==="prelu",l=k("numArgs",e,t,n),u=k("leakyreluAlpha",e,t,n);if(i){if(o&&l!==2)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!o&&l!==1)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}let[p,d]=k("args",e,t,n);return[a.fused.matMul({a:k("a",e,t,n),b:k("b",e,t,n),transposeA:k("transposeA",e,t,n),transposeB:k("transposeB",e,t,n),bias:p,activation:s,preluActivationWeights:d,leakyreluAlpha:u})];default:throw TypeError(`Node type ${e.op} is not implemented`)}},XH=(e,t,n,a=ln)=>{switch(e.op){case"EuclideanNorm":return[a.euclideanNorm(k("x",e,t,n),k("axis",e,t,n),k("keepDims",e,t,n))];case"FusedBatchNorm":case"FusedBatchNormV2":return[a.batchNorm(k("x",e,t,n),k("mean",e,t,n),k("variance",e,t,n),k("offset",e,t,n),k("scale",e,t,n),k("epsilon",e,t,n))];case"FusedBatchNormV3":return[a.batchNorm(k("x",e,t,n),k("mean",e,t,n),k("variance",e,t,n),k("offset",e,t,n),k("scale",e,t,n),k("epsilon",e,t,n))];case"LRN":return[a.localResponseNormalization(k("x",e,t,n),k("radius",e,t,n),k("bias",e,t,n),k("alpha",e,t,n),k("beta",e,t,n))];case"Softmax":return[a.softmax(k("x",e,t,n))];case"LogSoftmax":return[a.logSoftmax(k("x",e,t,n))];case"SparseToDense":return[a.sparseToDense(k("sparseIndices",e,t,n),k("outputShape",e,t,n),k("sparseValues",e,t,n),k("defaultValue",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},YH=(e,t,n,a=ln)=>{switch(e.op){case"Max":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.max(k("x",e,t,n),o,l)]}case"Mean":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.mean(k("x",e,t,n),o,l)]}case"Min":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.min(k("x",e,t,n),o,l)]}case"Sum":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.sum(k("x",e,t,n),o,l)]}case"All":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.all(k("x",e,t,n),o,l)]}case"Any":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.any(k("x",e,t,n),o,l)]}case"ArgMax":{let o=k("axis",e,t,n);return[a.argMax(k("x",e,t,n),o)]}case"ArgMin":{let o=k("axis",e,t,n);return[a.argMin(k("x",e,t,n),o)]}case"Prod":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.prod(k("x",e,t,n),o,l)]}case"Cumprod":{let o=k("axis",e,t,n),l=k("exclusive",e,t,n),u=k("reverse",e,t,n);return[a.cumprod(k("x",e,t,n),o,l,u)]}case"Cumsum":{let o=k("axis",e,t,n),l=k("exclusive",e,t,n),u=k("reverse",e,t,n);return[a.cumsum(k("x",e,t,n),o,l,u)]}case"Bincount":let r=k("x",e,t,n),s=k("weights",e,t,n),i=k("size",e,t,n);return[a.bincount(r,s,i)];case"DenseBincount":{let o=k("x",e,t,n),l=k("weights",e,t,n),u=k("size",e,t,n),p=k("binaryOutput",e,t,n);return[a.denseBincount(o,l,u,p)]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},ZH=(e,t,n,a=ln)=>{switch(e.op){case"ConcatV2":case"Concat":{let r=k("n",e,t,n),s=k("axis",e,t,n),i=k("tensors",e,t,n);return i=i.slice(0,r),[a.concat(i,s)]}case"Gather":{let r=k("x",e,t,n),s=k("indices",e,t,n);return[a.gather(r,a.cast(s,"int32"),0)]}case"GatherV2":{let r=k("axis",e,t,n),s=k("batchDims",e,t,n),i=k("x",e,t,n),o=k("indices",e,t,n);return[a.gather(i,a.cast(o,"int32"),r,s)]}case"Reverse":{let r=k("dims",e,t,n),s=[];for(let o=0;o{let r=k("axis",e,t,n),s=k("tensors",e,t,n),i=s[0].shape,o=a.squeeze(s[0]).shape,l=s.map(u=>{let p=v.arraysEqual(u.shape,i);if(!p&&!v.arraysEqual(a.squeeze(u).shape,o))throw new Error("the input tensors shape does not match");return p?u:a.reshape(u,i)});return[a.stack(l,r)]});case"Unpack":{let r=k("axis",e,t,n),s=k("tensor",e,t,n);return a.unstack(s,r)}case"Tile":{let r=k("reps",e,t,n);return[a.tile(k("x",e,t,n),r)]}case"Split":case"SplitV":{let r=k("axis",e,t,n),s=k("numOrSizeSplits",e,t,n),i=k("x",e,t,n);return a.split(i,s,r)}case"ScatterNd":{let r=k("indices",e,t,n),s=k("values",e,t,n),i=k("shape",e,t,n);return[a.scatterND(r,s,i)]}case"GatherNd":{let r=k("x",e,t,n),s=k("indices",e,t,n);return[a.gatherND(r,s)]}case"SparseToDense":{let r=k("sparseIndices",e,t,n),s=k("outputShape",e,t,n),i=k("sparseValues",e,t,n),o=k("defaultValue",e,t,n);return[a.sparseToDense(r,i,s,i.dtype===o.dtype?o:a.cast(o,i.dtype))]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},JH=(e,t,n,a=ln)=>{switch(e.op){case"SparseFillEmptyRows":{let{outputIndices:r,outputValues:s,emptyRowIndicator:i,reverseIndexMap:o}=a.sparse.sparseFillEmptyRows(k("indices",e,t,n),k("values",e,t,n),k("denseShape",e,t,n),k("defaultValue",e,t,n));return[r,s,i,o]}case"SparseReshape":{let{outputIndices:r,outputShape:s}=a.sparse.sparseReshape(k("inputIndices",e,t,n),k("inputShape",e,t,n),k("newShape",e,t,n));return[r,s]}case"SparseSegmentMean":return[a.sparse.sparseSegmentMean(k("data",e,t,n),k("indices",e,t,n),k("segmentIds",e,t,n))];case"SparseSegmentSum":return[a.sparse.sparseSegmentSum(k("data",e,t,n),k("indices",e,t,n),k("segmentIds",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},QH=(e,t,n,a=ln)=>{switch(e.op){case"FFT":return[a.fft(k("x",e,t,n))];case"IFFT":return[a.ifft(k("x",e,t,n))];case"RFFT":return[a.rfft(k("x",e,t,n))];case"IRFFT":return[a.irfft(k("x",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},e6=(e,t,n,a=ln)=>{switch(e.op){case"StringNGrams":{let{nGrams:r,nGramsSplits:s}=a.string.stringNGrams(k("data",e,t,n),k("dataSplits",e,t,n),k("separator",e,t,n),k("nGramWidths",e,t,n),k("leftPad",e,t,n),k("rightPad",e,t,n),k("padWidth",e,t,n),k("preserveShortSequences",e,t,n));return[r,s]}case"StringSplit":{let{indices:r,values:s,shape:i}=a.string.stringSplit(k("input",e,t,n),k("delimiter",e,t,n),k("skipEmpty",e,t,n));return[r,s,i]}case"StringToHashBucketFast":return[a.string.stringToHashBucketFast(k("input",e,t,n),k("numBuckets",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},t6=(e,t,n,a=ln)=>{switch(e.op){case"Cast":return[a.cast(k("x",e,t,n),k("dtype",e,t,n))];case"ExpandDims":{let r=k("axis",e,t,n);return[a.expandDims(k("x",e,t,n),r)]}case"Squeeze":{let r=k("axis",e,t,n);return[a.squeeze(k("x",e,t,n),r)]}case"Reshape":return[a.reshape(k("x",e,t,n),k("shape",e,t,n))];case"MirrorPad":return[a.mirrorPad(k("x",e,t,n),k("padding",e,t,n),k("mode",e,t,n))];case"PadV2":case"Pad":return[a.pad(k("x",e,t,n),k("padding",e,t,n),k("constantValue",e,t,n))];case"SpaceToBatchND":{let r=k("blockShape",e,t,n),s=k("paddings",e,t,n);return[a.spaceToBatchND(k("x",e,t,n),r,s)]}case"BatchToSpaceND":{let r=k("blockShape",e,t,n),s=k("crops",e,t,n);return[a.batchToSpaceND(k("x",e,t,n),r,s)]}case"DepthToSpace":{let r=k("blockSize",e,t,n),s=k("dataFormat",e,t,n).toUpperCase();return[a.depthToSpace(k("x",e,t,n),r,s)]}case"BroadcastTo":return[a.broadcastTo(k("x",e,t,n),k("shape",e,t,n))];case"BroadcastArgs":return[a.broadcastArgs(k("s0",e,t,n),k("s1",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function _k(e,t,n,a,r=P){let s=((i,o,l)=>{switch(i.category){case"arithmetic":return r(()=>$H(i,o,l));case"basic_math":return r(()=>FH(i,o,l));case"control":return LH(i,o,l);case"convolution":return r(()=>zH(i,o,l));case"creation":return r(()=>BH(i,o,l));case"dynamic":return WH(i,o,l);case"evaluation":return r(()=>VH(i,o,l));case"image":return r(()=>jH(i,o,l));case"graph":return r(()=>UH(i,o,l));case"logical":return r(()=>qH(i,o,l));case"matrices":return r(()=>KH(i,o,l));case"normalization":return r(()=>XH(i,o,l));case"reduction":return r(()=>YH(i,o,l));case"slice_join":return r(()=>ZH(i,o,l));case"sparse":return r(()=>JH(i,o,l));case"spectral":return r(()=>QH(i,o,l));case"string":return r(()=>e6(i,o,l));case"transformation":return r(()=>t6(i,o,l));case"hash_table":return HH(i,o,l,a);case"custom":let u=jN(i.op);if(u&&u.customExecutor)return u.customExecutor(new AH(i,o,l));throw TypeError(`Custom op ${i.op} is not registered.`);default:throw TypeError(`Unknown op '${i.op}'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()`)}})(e,t,n);return v.isPromise(s)?s.then(i=>[].concat(i)):[].concat(s)}var Ek=class{constructor(e={},t={},n={},a={}){this.weightMap=e,this.tensorArrayMap=t,this.tensorListMap=n,this.functionMap=a,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}newFrame(e,t){return{id:e,frameName:t,iterationId:0}}set currentContext(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())}get currentContext(){return this.contexts}get currentContextId(){return this._currentContextIds[0]}get currentContextIds(){return this._currentContextIds}generateCurrentContextIds(){let e=[];for(let t=0;tt.id===0&&t.iterationId===0?"":`${t.frameName}-${t.iterationId}`).join("/"):""}enterFrame(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}exitFrame(){if(this.contexts&&this.contexts.length>1)this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift();else throw new Error("Cannot exit frame, the context is empty")}nextIteration(){if(this.contexts&&this.contexts.length>0){this.contexts=this.contexts.slice(),this.lastId++;let e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}else throw new Error("Cannot increase frame iteration, the context is empty")}getWeight(e){return this.weightMap[e]}addTensorArray(e){this.tensorArrayMap[e.id]=e}getTensorArray(e){return this.tensorArrayMap[e]}addTensorList(e){this.tensorListMap[e.id]=e}getTensorList(e){return this.tensorListMap[e]}dispose(e){for(let t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(let t in this.tensorListMap)this.tensorListMap[t].clearAndClose(e)}};function Ak(e,t,n,a){let r=new Set,s=[],i=null,o=null,l=new Set,u=Object.keys(e).map(c=>Kn(c)[0]),p=[];a!=null&&(p=a.map(c=>Kn(c.name)[0]));let d=[...t];for(;d.length>0;){let c=d.pop();if((m2(c)||i6(c)||o6(c))&&i==null&&(i=c,o=i.children.map(h=>h.name).filter(h=>r.has(h))),r.add(c.name),n[c.name]==null&&u.indexOf(c.name)===-1&&p.indexOf(c.name)===-1){if(c.inputs.length===0){s.push(c.name);continue}c.inputs.forEach(h=>{l.has(h.name)||(l.add(h.name),d.push(h))})}}return{inputs:e,outputs:t,usedNodes:r,missingInputs:s,dynamicNode:i,syncInputs:o}}function n6(e,t,n){let{usedNodes:a,inputs:r}=n,s=[],i=Object.keys(r).map(p=>Kn(p)[0]).map(p=>e.nodes[p]),o=e.initNodes;i.forEach(p=>{a.has(p.name)&&s.push(p)}),e.weights.forEach(p=>{a.has(p.name)&&s.push(p)}),o!=null&&o.forEach(p=>{a.has(p.name)&&s.push(p)});let l=new Set,u=[];for(;s.length>0;){let p=s.pop();l.add(p.name),t[p.name]||u.push(p),p.children.forEach(d=>{!l.has(d.name)&&a.has(d.name)&&d.inputs.every(c=>l.has(c.name))&&s.push(d)})}return u}var a6=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],r6=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"],s6=["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2","LookupTableSize","LookupTableSizeV2"];function m2(e){return a6.indexOf(e.op)>=0}function i6(e){return r6.indexOf(e.op)>=0}function o6(e){return s6.indexOf(e.op)>=0}var ex=class{constructor(e,t){this.graph=e,this.parent=t,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._functions={},this._functionExecutorMap={},this.intermediateTensors={},this.keepTensorForDebug=!1,this._outputs=e.outputs,this._inputs=e.inputs,this._initNodes=e.initNodes,this._signature=e.signature,this._functions=e.functions,e.functions!=null&&Object.keys(e.functions).forEach(n=>{this._functionExecutorMap[n]=new ex(e.functions[n],this)})}get weightIds(){return this.parent?this.parent.weightIds:this._weightIds}get functionExecutorMap(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}get weightMap(){return this.parent?this.parent.weightMap:this._weightMap}set weightMap(e){let t=Object.keys(e).map(n=>e[n].map(a=>a.id));this._weightIds=[].concat(...t),this._weightMap=e}set resourceManager(e){this._resourceManager=e}get inputs(){return this._inputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get outputs(){return this._outputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get inputNodes(){return this._inputs.map(e=>e.signatureKey||e.name)}get outputNodes(){return this._outputs.map(e=>{let t=e.signatureKey||e.name;return e.defaultOutput?`${t}:${e.defaultOutput}`:t})}get functions(){return Object.keys(this._functions).reduce((e,t)=>(e[t]=this._functions[t].signature,e),{})}getCompilationKey(e,t){let n=e.map(r=>r.name).sort(),a=t.map(r=>r.name).sort();return n.join(this.SEPERATOR)+"--"+a.join(this.SEPERATOR)}compile(e,t){let n=Ak(e,t,this.weightMap,this._initNodes),{missingInputs:a,dynamicNode:r,syncInputs:s}=n;if(r!=null)throw new Error(`This execution contains the node '${r.name}', which has the dynamic op '${r.op}'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs [${s}]`);if(a.length>0){let i=t.map(l=>l.name),o=Object.keys(e);throw new Error(`Cannot compute the outputs [${i}] from the provided inputs [${o}]. Missing the following inputs: [${a}]`)}return n6(this.graph,this.weightMap,n)}execute(e,t){e=this.mapInputs(e);let n=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);let a=n.map(p=>this.graph.nodes[Kn(p)[0]]),r=t.map(p=>Kn(p)[0]),s=r.map(p=>this.graph.nodes[p]);this.resetIntermediateTensors(),s.length===0&&(s=this._outputs);let i=this.getCompilationKey(a,s),o=this.compiledMap.get(i);o==null&&(o=this.compile(e,s),this.compiledMap.set(i,o));let l={},u={};return P(()=>{let p=new Ek(this.weightMap,l,u,this.functionExecutorMap),d=Object.assign({},this.weightMap);Object.keys(e).forEach(m=>{let[f,g]=Kn(m),b=[];b[g]=e[m],d[f]=b});let c=this.getFrozenTensorIds(d),h={};for(let m=0;mvn(m,d,p))})}getFrozenTensorIds(e){let t=[].concat.apply([],Object.keys(e).map(n=>e[n]).map(n=>n.map(a=>a.id)));return new Set(t)}checkTensorForDisposal(e,t,n,a,r,s,i){t.category==="control"||s.indexOf(e)!==-1||(n[e].forEach(o=>{o!=null&&(i[o.id]=(i[o.id]||0)+t.children.length)}),t.inputs.forEach(o=>{if(o.category!=="control"){let l=uH(o.name,n,a);l!=null&&l.forEach(u=>{if(u&&!u.kept&&!r.has(u.id)){let p=i[u.id];if(p===1){if(!this.keepTensorForDebug)u.dispose();else{let[d,c]=nr(t.name,a);this.intermediateTensors[d]?this.intermediateTensors[d][c]=u:(this.intermediateTensors[d]=[],this.intermediateTensors[d][c]=u)}delete i[u.id]}else p!=null&&i[u.id]--}})}}))}async executeAsync(e,t){return this._executeAsync(e,t)}disposeIntermediateTensors(){!this.intermediateTensors||(Object.keys(this.intermediateTensors).forEach(e=>this.intermediateTensors[e].forEach(t=>t.dispose())),this.disposeTensorsMap())}disposeTensorsMap(){!this.tensorsMap||Object.keys(this.tensorsMap).forEach(e=>{this.tensorsMap[e].forEach(t=>{t&&!t.kept&&!t.isDisposed&&!this.keepIds.has(t.id)&&t.dispose()})})}getIntermediateTensors(){return this.tensorsMap}resetIntermediateTensors(){for(let e in this.intermediateTensors)this.intermediateTensors[e].forEach(t=>t.dispose()),delete this.intermediateTensors[e]}async _executeAsync(e,t,n=!1,a={},r={}){n||(e=this.mapInputs(e),this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t));try{this.keepTensorForDebug=H().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(u){console.warn(u.message)}this.resetIntermediateTensors();let s=new Ek(this.weightMap,a,r,this.functionExecutorMap);this.tensorsMap=await this.executeWithControlFlow(e,s,t,n);let i=t.map(u=>vn(u,this.tensorsMap,s)),o=i.map(u=>u.id),l=Object.keys(e).map(u=>e[u].id);return this.keepIds=new Set([...o,...l,...this.weightIds]),this.keepTensorForDebug||this.disposeTensorsMap(),this.parent==null&&s.dispose(this.keepIds),i}async executeFunctionAsync(e,t,n){let a=e.reduce((r,s,i)=>(r[this.inputs[i].name]=s,r),{});return this._executeAsync(a,this.outputNodes,!0,t,n)}async executeWithControlFlow(e,t,n,a){let r=Object.keys(e),s=r.map(y=>this.graph.nodes[Kn(y)[0]]),i=n.map(y=>Kn(y)[0]),o=i.map(y=>this.graph.nodes[y]);o.length===0&&(o=this._outputs);let{usedNodes:l,missingInputs:u,dynamicNode:p,syncInputs:d}=Ak(e,o,this.weightMap,this._initNodes),c=[...s,...this.graph.weights,...this._initNodes||[]].map(y=>({node:y,contexts:t.currentContext})),h=Object.assign({},this.weightMap);Object.keys(e).forEach(y=>{let[x,w]=Kn(y),I=[];I[w]=e[y],h[x]=I});let m={},f=this.getFrozenTensorIds(h),g={};for(;c.length>0;){let y=this.processStack(s,c,t,h,g,f,i,m,l);await Promise.all(y)}p==null&&!a&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead.");let b=o.filter(y=>!m2(y)&&!vn(y.name,h,t)).map(y=>y.name);if(b.length>0){let y="";throw p!=null&&(y=`Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs [${d}]`),new Error(`Cannot compute the outputs [${b}] from the provided inputs [${r}]. Consider providing the following inputs: [${u}]. ${y}`)}return h}processStack(e,t,n,a,r,s,i,o,l){let u=[];for(;t.length>0;){let p=t.pop();n.currentContext=p.contexts;let d="";if(p.node.op==="Enter"&&k("isConstant",p.node,a,n)&&([d]=nr(p.node.name,n)),a[p.node.name]==null){let c=_k(p.node,a,n,this._resourceManager);d||([d]=nr(p.node.name,n));let h=n.currentContext;v.isPromise(c)?u.push(c.then(m=>(a[d]=m,n.currentContext=h,this.checkTensorForDisposal(d,p.node,a,n,s,i,o),this.processChildNodes(p.node,t,n,a,r,l),m))):(a[d]=c,this.checkTensorForDisposal(d,p.node,a,n,s,i,o),this.processChildNodes(p.node,t,n,a,r,l))}else this.processChildNodes(p.node,t,n,a,r,l)}return u}processChildNodes(e,t,n,a,r,s){e.children.forEach(i=>{let[o]=nr(i.name,n);r[o]||!s.has(i.name)||(i.op==="Merge"?i.inputNames.some(l=>!!vn(l,a,n))&&(r[o]=!0,t.push({contexts:n.currentContext,node:i})):i.inputNames.every(l=>!!vn(l,a,n))&&(r[o]=!0,t.push({contexts:n.currentContext,node:i})))})}dispose(){Object.keys(this.weightMap).forEach(e=>this.weightMap[e].forEach(t=>t.dispose()))}checkInputShapeAndType(e){Object.keys(e).forEach(t=>{let n=e[t],[a]=Kn(t),r=this.graph.nodes[a];if(r.attrParams.shape&&r.attrParams.shape.value){let s=r.attrParams.shape.value,i=s.length===n.shape.length&&n.shape.every((o,l)=>s[l]===-1||s[l]===o);v.assert(i,()=>`The shape of dict['${r.name}'] provided in model.execute(dict) must be [${s}], but was [${n.shape}]`)}r.attrParams.dtype&&r.attrParams.dtype.value&&v.assert(n.dtype===r.attrParams.dtype.value,()=>`The dtype of dict['${r.name}'] provided in model.execute(dict) must be ${r.attrParams.dtype.value}, but was ${n.dtype}`)})}mapInputs(e){let t={};for(let n in e)if(this._signature!=null&&this._signature.inputs!=null&&this._signature.inputs[n]!=null){let a=this._signature.inputs[n];t[a.name]=e[n]}else t[n]=e[n];return t}checkInputs(e){let t=Object.keys(e).filter(n=>{let[a]=Kn(n);return this.graph.nodes[a]==null});if(t.length>0)throw new Error(`The dict provided in model.execute(dict) has keys: [${t}] that are not part of graph`)}mapOutputs(e){return e.map(t=>this._signature!=null&&this._signature.outputs!=null&&this._signature.outputs[t]!=null?this._signature.outputs[t].name:t,{})}checkOutputs(e){e.forEach(t=>{let[n]=Kn(t);if(!this.graph.nodes[n])throw new Error(`The output '${t}' is not found in the graph`)})}},l6=class{constructor(e={},t={}){this.hashTableNameToHandle=e,this.hashTableMap=t}addHashTable(e,t){this.hashTableNameToHandle[e]=t.handle,this.hashTableMap[t.id]=t}getHashTableHandleByName(e){return this.hashTableNameToHandle[e]}getHashTableById(e){return this.hashTableMap[e]}dispose(){for(let e in this.hashTableMap)this.hashTableMap[e].clearAndClose(),delete this.hashTableMap[e];for(let e in this.hashTableNameToHandle)this.hashTableNameToHandle[e].dispose(),delete this.hashTableNameToHandle[e]}},u6="?tfjs-format=file",p6="model.json",y0=class{constructor(e,t={},n=Ut){this.modelUrl=e,this.loadOptions=t,this.version="n/a",this.io=n,t==null&&(this.loadOptions={}),this.resourceManager=new l6}get modelVersion(){return this.version}get inputNodes(){return this.executor.inputNodes}get outputNodes(){return this.executor.outputNodes}get inputs(){return this.executor.inputs}get outputs(){return this.executor.outputs}get weights(){return this.executor.weightMap}get metadata(){return this.artifacts.userDefinedMetadata}get modelSignature(){return this.signature}get modelStructuredOutputKeys(){return this.structuredOutputKeys}findIOHandler(){let e=this.modelUrl;if(e.load!=null)this.handler=e;else if(this.loadOptions.requestInit!=null)this.handler=this.io.browserHTTPRequest(e,this.loadOptions);else{let t=this.io.getLoadHandlers(e,this.loadOptions);if(t.length===0)t.push(this.io.browserHTTPRequest(e,this.loadOptions));else if(t.length>1)throw new Error(`Found more than one (${t.length}) load handlers for URL '${[e]}'`);this.handler=t[0]}}load(){if(this.findIOHandler(),this.handler.load==null)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let e=this.handler.load();return v.isPromise(e)?e.then(t=>this.loadSync(t)):this.loadSync(e)}loadSync(e){this.artifacts=e;let t=this.artifacts.modelTopology,n=this.artifacts.signature;if(this.artifacts.userDefinedMetadata!=null){let r=this.artifacts.userDefinedMetadata;r.signature!=null&&(n=r.signature),r.structuredOutputKeys!=null&&(this.structuredOutputKeys=r.structuredOutputKeys)}this.signature=n,this.version=`${t.versions.producer}.${t.versions.minConsumer}`;let a=this.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new ex(Sk.Instance.transformGraph(t,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(a),this.executor.resourceManager=this.resourceManager,e.modelInitializer!=null&&e.modelInitializer.node!=null){let r=Sk.Instance.transformGraph(e.modelInitializer);this.initializer=new ex(r),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializer.executeAsync({},[])}return!0}async save(e,t){if(typeof e=="string"){let n=this.io.getSaveHandlers(e);if(n.length===0)throw new Error(`Cannot find any save handlers for URL '${e}'`);if(n.length>1)throw new Error(`Found more than one (${n.length}) save handlers for URL '${e}'`);e=n[0]}if(e.save==null)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return e.save(this.artifacts)}predict(e,t){let n=this.execute(e,this.outputNodes);if(this.structuredOutputKeys){let a=n instanceof Te?[n]:n,r={};return a.forEach((s,i)=>r[this.structuredOutputKeys[i]]=s),r}return n}normalizeInputs(e){if(!(e instanceof Te)&&!Array.isArray(e))return e;if(e=Array.isArray(e)?e:[e],e.length!==this.inputNodes.length)throw new Error(`Input tensor count mismatch,the graph model has ${this.inputNodes.length} placeholders, while there are ${e.length} input tensors.`);return this.inputNodes.reduce((t,n,a)=>(t[n]=e[a],t),{})}normalizeOutputs(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]}execute(e,t){e=this.normalizeInputs(e),t=this.normalizeOutputs(t);let n=this.executor.execute(e,t);return n.length>1?n:n[0]}async executeAsync(e,t){e=this.normalizeInputs(e),t=this.normalizeOutputs(t);let n=await this.executor.executeAsync(e,t);return n.length>1?n:n[0]}getIntermediateTensors(){return this.executor.getIntermediateTensors()}disposeIntermediateTensors(){this.executor.disposeIntermediateTensors()}convertTensorMapToTensorsMap(e){return Object.keys(e).reduce((t,n)=>(t[n]=[e[n]],t),{})}dispose(){this.executor.dispose(),this.initializer&&this.initializer.dispose(),this.resourceManager.dispose()}};async function c6(e,t={},n=Ut){if(e==null)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");t==null&&(t={}),t.fromTFHub&&typeof e=="string"&&(e=h6(e));let a=new y0(e,t,n);return await a.load(),a}function d6(e){if(e==null)throw new Error("modelUrl in loadGraphModelSync() cannot be null. Please provide model artifacts or an IOHandler that loads the model");let t;if(e instanceof Array){let[a,r]=e;if(!a)throw new Error("modelJSON must be the first element of the array");if(!r||!(r instanceof ArrayBuffer))throw new Error("An ArrayBuffer of weights must be the second element of the array");if(!("modelTopology"in a))throw new Error("Model JSON is missing 'modelTopology'");if(!("weightsManifest"in a))throw new Error("Model JSON is missing 'weightsManifest'");let s=Ut.getWeightSpecs(a.weightsManifest),i=Ut.getModelArtifactsForJSONSync(a,s,r);t=Ut.fromMemorySync(i)}else if("load"in e)t=e;else if("modelTopology"in e&&"weightSpecs"in e&&"weightData"in e)t=Ut.fromMemorySync(e);else throw new Error("Unknown model format");let n=new y0(t);return n.load(),n}function h6(e){return e.endsWith("/")||(e=e+"/"),`${e}${p6}${u6}`}var m6="3.21.0",f2={};_e(f2,{CSVDataset:()=>S2,Dataset:()=>Du,FileDataSource:()=>$2,TextLineDataset:()=>I2,URLDataSource:()=>F2,array:()=>O6,csv:()=>K6,func:()=>X6,generator:()=>Y6,microphone:()=>J6,version_data:()=>Q6,webcam:()=>Z6,zip:()=>L6});var f6=ls(Gh()),g6=ls(Gh());function b6(e,t){return Rh(e,t)}function Rh(e,t,n=new Map,a=new Set){if(e==null)return null;if(typeof Blob=="function"&&e instanceof Blob)return e.slice();if(a.has(e))throw new Error("Circular references are not supported.");if(n.has(e))return n.get(e);let r=t(e);if(r.recurse&&r.value!==null)throw new Error("A deep map function may not return both a value and recurse=true.");if(r.recurse)if(hl(e)){let s=Array.isArray(e)?[]:{};a.add(e);for(let i in e){let o=e[i],l=Rh(o,t,n,a);s[i]=l}return a.delete(e),e.__proto__&&(s.__proto__=e.__proto__),s}else throw new Error(`Can't recurse into non-iterable type: ${e}`);else return n.set(e,r.value),r.value}function y6(e,t=b2){return g2(e,t)}function g2(e,t,n=new Set){let a=e[0];if(n.has(a))throw new Error("Circular references are not supported.");let r=t(e);if(r.recurse&&r.value!==null)throw new Error("A deep zip function may not return both a value and recurse=true.");if(r.recurse)if(hl(a)){let s=Array.isArray(a)?[]:{};n.add(a);for(let i in a){let o=e.map(u=>u[i]),l=g2(o,t,n);s[i]=l}return n.delete(a),s}else throw new Error(`Can't recurse into non-iterable type: ${a}`);else return r.value}function b2(e){return e===null?null:hl(e[0])?{value:null,recurse:!0}:{value:e,recurse:!1}}async function y2(e,t){let n=new Map;Rh(e,t,n);for(let a of Array.from(n.keys())){let r=n.get(a);if(v.isPromise(r)){let s=await r;n.set(a,s)}}return Rh(e,t,n)}function hl(e){let t=!1;if(H().get("IS_BROWSER"))t=e instanceof TextDecoder;else{let{StringDecoder:n}=hI();t=e instanceof n}return e!=null&&!ArrayBuffer.isView(e)&&(Array.isArray(e)||typeof e=="object"&&!(e instanceof Te)&&!(e instanceof Promise)&&!t)}function x6(e){return e==null||v6(e)||Array.isArray(e)||typeof e=="object"&&e instanceof Te||v.isTypedArray(e)}function v6(e){return e===null||typeof e!="object"&&typeof e!="function"}function w6(e){return b6(e,k6)}function k6(e){return e instanceof Te?{value:e.clone(),recurse:!1}:hl(e)?{value:null,recurse:!0}:{value:e,recurse:!1}}var x2=class{constructor(e){if(this.capacity=e,this.begin=0,this.end=0,e==null)throw new RangeError("Can't create a ring buffer of unknown capacity.");if(e<1)throw new RangeError("Can't create ring buffer of capacity < 1.");this.data=new Array(e),this.doubledCapacity=2*e}wrap(e){for(;e<0;)e+=this.doubledCapacity;return e%this.doubledCapacity}get(e){if(e<0)throw new RangeError("Can't get item at a negative index.");return this.data[e%this.capacity]}set(e,t){if(e<0)throw new RangeError("Can't set item at a negative index.");this.data[e%this.capacity]=t}length(){let e=this.end-this.begin;return e<0&&(e=this.doubledCapacity+e),e}isFull(){return this.length()===this.capacity}isEmpty(){return this.length()===0}push(e){if(this.isFull())throw new RangeError("Ring buffer is full.");this.set(this.end,e),this.end=this.wrap(this.end+1)}pushAll(e){for(let t of e)this.push(t)}pop(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");this.end=this.wrap(this.end-1);let e=this.get(this.end);return this.set(this.end,void 0),e}unshift(e){if(this.isFull())throw new RangeError("Ring buffer is full.");this.begin=this.wrap(this.begin-1),this.set(this.begin,e)}shift(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");let e=this.get(this.begin);return this.set(this.begin,void 0),this.begin=this.wrap(this.begin+1),e}shuffleExcise(e){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");let t=this.wrap(this.begin+e),n=this.get(t);return this.set(t,this.pop()),n}},x0=class extends x2{constructor(){super(x0.INITIAL_CAPACITY)}isFull(){return!1}push(e){super.isFull()&&this.expand(),super.push(e)}unshift(e){super.isFull()&&this.expand(),super.unshift(e)}expand(){let e=this.capacity*2,t=new Array(e),n=this.length();for(let a=0;at===!0)}rowMajorBatch(e,t=!0){return new A6(this,e,t)}columnMajorBatch(e,t=!0,n=b2){return this.rowMajorBatch(e,t).map(a=>y6(a,n))}concatenate(e,t){return new w2(v2([this,e]),t)}take(e){return e<0||e==null?this:new E6(this,e)}skip(e){return e<0||e==null?this:new _6(this,e)}prefetch(e){return new k2(this,e)}shuffle(e,t){return new P6(this,e,t)}serial(){return new C6(this)}},T6=class extends en{constructor(e){super(),this.items=e,this.trav=0}summary(){return`Array of ${this.items.length} items`}async next(){if(this.trav>=this.items.length)return{value:null,done:!0};let e=this.items[this.trav];return this.trav++,{value:w6(e),done:!1}}},N6=class extends en{constructor(e){super(),this.nextFn=e}summary(){return"Function call"}async next(){try{return this.nextFn()}catch(e){throw e.message=`Error thrown while iterating through a dataset: ${e.message}`,e}}},C6=class extends en{constructor(e){super(),this.upstream=e,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Serial`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){return this.upstream.next()}},_6=class extends en{constructor(e,t){super(),this.upstream=e,this.maxCount=t,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Skip`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.count++ Take`}async next(){return this.count++>=this.maxCount?{value:null,done:!0}:this.upstream.next()}},A6=class extends en{constructor(e,t,n=!0){super(),this.upstream=e,this.batchSize=t,this.enableSmallLastBatch=n,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> RowMajorBatch`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){let e=[];for(;e.length0?{value:e,done:!1}:{value:null,done:!0};e.push(t.value)}return{value:e,done:!1}}},$6=class extends en{constructor(e,t){super(),this.upstream=e,this.predicate=t,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Filter`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;){let e=await this.upstream.next();if(e.done||this.predicate(e.value))return e;$e(e.value)}}},F6=class extends en{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> Map`}async next(){let e=await this.upstream.next();if(e.done)return{value:null,done:!0};let t=Ba.getTensorsInContainer(e.value),n=this.transform(e.value),a=Ba.getTensorsInContainer(n);for(let r of t)Ba.isTensorInList(r,a)||r.dispose();return{value:n,done:!1}}},D6=class extends en{constructor(e,t){super(),this.upstream=e,this.handler=t,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> handleErrors`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;)try{return await this.upstream.next()}catch(e){if(!this.handler(e))return{value:null,done:!0}}}},$k=class extends en{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> AsyncMap`}async next(){let e=await this.upstream.next();if(e.done)return{value:null,done:!0};let t=Ba.getTensorsInContainer(e.value),n=await this.transform(e.value),a=Ba.getTensorsInContainer(n);for(let r of t)Ba.isTensorInList(r,a)||r.dispose();return{value:n,done:!1}}},w0=class extends en{constructor(){super(),this.outputQueue=new x0,this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.outputQueue.length()===0;)if(!await this.pump())return{value:null,done:!0};return{value:this.outputQueue.shift(),done:!1}}},R6=class extends w0{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> Flatmap`}async pump(){let e=await this.upstream.next();if(e.done)return!1;let t=Ba.getTensorsInContainer(e.value),n=this.transform(e.value),a=Ba.getTensorsInContainer(n);this.outputQueue.pushAll(n);for(let r of t)Ba.isTensorInList(r,a)||r.dispose();return!0}},w2=class extends en{constructor(e,t){super(),this.baseErrorHandler=t,this.lastRead=null,this.iterator=null,this.moreIterators=e}summary(){return"TODO: fill in upstream of chained summaries -> Chained"}async next(){return this.lastRead=this.readFromChain(this.lastRead),this.lastRead}async readFromChain(e){if(await e,this.iterator==null){let n=await this.moreIterators.next();if(n.done)return{value:null,done:!0};this.iterator=n.value,this.baseErrorHandler!=null&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler))}let t=await this.iterator.next();return t.done?(this.iterator=null,this.readFromChain(e)):t}},Xr;(function(e){e[e.FAIL=0]="FAIL",e[e.SHORTEST=1]="SHORTEST",e[e.LONGEST=2]="LONGEST"})(Xr||(Xr={}));var M6=class extends en{constructor(e,t=Xr.FAIL){super(),this.iterators=e,this.mismatchMode=t,this.count=0,this.currentPromise=null}summary(){return"{TODO: fill in upstream of zip summaries} -> Zip"}async nextState(e){await e;let t=0,n=0;function a(s){return s instanceof en?{value:s.next().then(i=>(t++,i.done&&n++,i.value)),recurse:!1}:{value:null,recurse:!0}}let r=await y2(this.iterators,a);if(t===n)return{value:null,done:!0};if(n>0)switch(this.mismatchMode){case Xr.FAIL:throw new Error(`Zipped streams should have the same length. Mismatched at element ${this.count}.`);case Xr.SHORTEST:return{value:null,done:!0};case Xr.LONGEST:default:}return this.count++,{value:r,done:!1}}async next(){return this.currentPromise=this.nextState(this.currentPromise),this.currentPromise}},k2=class extends en{constructor(e,t){super(),this.upstream=e,this.bufferSize=t,this.buffer=new x2(t)}summary(){return`${this.upstream.summary()} -> Prefetch`}refill(){for(;!this.buffer.isFull();){let e=this.upstream.next();this.buffer.push(e)}}next(){return this.refill(),this.buffer.shift()}},P6=class extends k2{constructor(e,t,n){super(e,t),this.upstream=e,this.windowSize=t,this.upstreamExhausted=!1,this.random=g6.alea(n||v.now().toString()),this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}randomInt(e){return Math.floor(this.random()*e)}chooseIndex(){return this.randomInt(this.buffer.length())}async serialNext(){for(this.upstreamExhausted||this.refill();!this.buffer.isEmpty();){let e=this.chooseIndex(),t=await this.buffer.shuffleExcise(e);if(t.done)this.upstreamExhausted=!0;else return this.refill(),t}return{value:null,done:!0}}},Du=class{constructor(){this.size=null}batch(e,t=!0){let n=this;v.assert(e>0,()=>`batchSize needs to be positive, but it is - ${e}`);let a;return this.size===1/0||this.size==null?a=this.size:t?a=Math.ceil(this.size/e):a=Math.floor(this.size/e),qn(async()=>(await n.iterator()).columnMajorBatch(e,t,z6),a)}concatenate(e){let t=this,n;return this.size===1/0||e.size===1/0?n=1/0:this.size!=null&&e.size!=null?n=this.size+e.size:n=null,qn(async()=>(await t.iterator()).concatenate(await e.iterator()),n)}filter(e){let t=this,n;return this.size===1/0?n=1/0:n=null,qn(async()=>(await t.iterator()).filter(a=>P(()=>e(a))),n)}async forEachAsync(e){return(await this.iterator()).forEachAsync(e)}map(e){let t=this;return qn(async()=>(await t.iterator()).map(n=>P(()=>e(n))),this.size)}mapAsync(e){let t=this;return qn(async()=>(await t.iterator()).mapAsync(e),this.size)}prefetch(e){if(e==null)throw new RangeError("`Dataset.prefetch()` requires bufferSize to be specified.");let t=this;return qn(async()=>(await t.iterator()).prefetch(e),this.size)}repeat(e){let t=this,n;return this.size!=null&&e>0?n=this.size*e:e===0?n=0:this.size!=null&&(e===void 0||e<0)?n=1/0:n=null,qn(async()=>{let a=v0(async()=>({value:await t.iterator(),done:!1}));return I6(a.take(e))},n)}skip(e){let t=this,n;return this.size!=null&&e>=0&&this.size>=e?n=this.size-e:this.size!=null&&(this.size(await t.iterator()).skip(e),n)}shuffle(e,t,n=!0){if(e==null||e<0)throw this.size==null?new RangeError("`Dataset.shuffle()` requires bufferSize to be specified."):new RangeError(`\`Dataset.shuffle()\` requires bufferSize to be specified. If your data fits in main memory (for regular JS objects), and/or GPU memory (for \`tf.Tensor\`s), consider setting bufferSize to the dataset size (${this.size} elements)`);let a=this,r=f6.alea(t||v.now().toString());return qn(async()=>{let s=r.int32();return n&&(s+=r.int32()),(await a.iterator()).shuffle(e,s.toString())},this.size)}take(e){let t=this,n;return this.size!=null&&this.size>e?n=e:this.size!=null&&this.size<=e?n=this.size:n=null,qn(async()=>(await t.iterator()).take(e),n)}async toArray(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArray()}async toArrayForTest(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArrayForTest()}};Du.MAX_BUFFER_SIZE=1e4;function qn(e,t=null){return new class extends Du{constructor(){super(...arguments),this.size=t}async iterator(){return e()}}}function O6(e){return qn(async()=>v2(e),e.length)}function L6(e){if(!hl(e))throw new Error("The argument to zip() must be an object or array.");let t;if(Array.isArray(e))for(let n=0;n{let n=await y2(e,a=>{if(a instanceof Du)return{value:a.iterator(),recurse:!1};if(hl(a))return{value:null,recurse:!0};throw new Error("Leaves of the structure passed to zip() must be Datasets, not primitives.")});return S6(n,Xr.SHORTEST)},t)}function z6(e){if(e===null)return null;let t=e[0];return x6(t)?{value:B6(e),recurse:!1}:{value:null,recurse:!0}}function B6(e){if(e.length===0)throw new Error("Can't make a batch of zero elements.");return e[0]instanceof Te?Ft(e):On(e)}var I2=class extends Du{constructor(e){super(),this.input=e}async iterator(){return(await this.input.iterator()).decodeUTF8().split(` -`).map(e=>(e.endsWith("\r")&&(e=e.slice(0,-1)),e))}},Yd='"',Sp=Symbol("out"),Fk=Symbol("field"),Zd=Symbol("quote"),hy=Symbol("quoteafterquote"),Dk=Symbol("quoteinquote"),S2=class extends Du{constructor(e,t){super(),this.input=e,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=",",this.delimWhitespace=!1,this.base=new I2(e),t||(t={}),this.hasHeader=t.hasHeader!==!1,this.fullColumnNames=t.columnNames,this.columnConfigs=t.columnConfigs,this.configuredColumnsOnly=t.configuredColumnsOnly,t.delimWhitespace?(v.assert(t.delimiter==null,()=>"Delimiter should not be provided when delimWhitespace is true."),this.delimWhitespace=!0,this.delimiter=" "):this.delimiter=t.delimiter?t.delimiter:","}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){let e=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!e)throw new Error("Column names must be provided if there is no header line.");this.fullColumnNames&&e&&v.assert(e.length===this.fullColumnNames.length,()=>"The length of provided columnNames ("+this.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+e.length.toString()+")."),this.fullColumnNames||(this.fullColumnNames=e);let t=this.fullColumnNames.reduce((a,r)=>(a[r]=a[r]+1||1,a),{}),n=Object.keys(t).filter(a=>t[a]>1);if(v.assert(n.length===0,()=>"Duplicate column names found: "+n.toString()),this.columnConfigs){for(let a of Object.keys(this.columnConfigs))if(this.fullColumnNames.indexOf(a)===-1)throw new Error('The key "'+a+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").")}this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){let e=await(await this.base.iterator()).next();if(e.done)throw new Error("No data was found for CSV parsing.");let t=e.value;return this.parseRow(t,!1)}else return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let e=await this.base.iterator();return this.hasHeader&&(e=e.skip(1)),e.map(t=>this.makeDataElement(t))}makeDataElement(e){let t=this.parseRow(e),n={},a={};for(let r=0;r14||!Number.isInteger(t))throw new Error(`Invalid fftSize: it must be a power of 2 between 2 to 4 and 2 to 14, but got ${this.fftSize}`);if(this.numFrames=e.numFramesPerSpectrogram||43,this.sampleRateHz=e.sampleRateHz,this.columnTruncateLength=e.columnTruncateLength||this.fftSize,this.audioTrackConstraints=e.audioTrackConstraints,this.smoothingTimeConstant=e.smoothingTimeConstant||0,this.includeSpectrogram=e.includeSpectrogram!==!1,this.includeWaveform=e.includeWaveform===!0,!this.includeSpectrogram&&!this.includeWaveform)throw new Error("Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.")}summary(){return"microphone"}static async create(e={}){if(!H().get("IS_BROWSER"))throw new Error("microphone API is only supported in browser environment.");let t=new T2(e);return await t.start(),t}async start(){try{this.stream=await navigator.mediaDevices.getUserMedia({audio:this.audioTrackConstraints==null?!0:this.audioTrackConstraints,video:!1})}catch(n){throw new Error(`Error thrown while initializing video stream: ${n.message}`)}if(!this.stream)throw new Error("Could not obtain audio from microphone.");let e=window.AudioContext||window.webkitAudioContext;if(this.audioContext=new e,!this.sampleRateHz)this.sampleRateHz=this.audioContext.sampleRate;else if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error(`Mismatch in sampling rate: Expected: ${this.sampleRateHz}; Actual: ${this.audioContext.sampleRate}`);let t=this.audioContext.createMediaStreamSource(this.stream);this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=this.fftSize*2,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,t.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize)}async next(){if(this.isClosed)return{value:null,done:!0};let e,t,n=await this.getAudioData();if(this.includeSpectrogram){let a=this.flattenQueue(n.freqDataQueue);e=this.getTensorFromAudioDataArray(a,[this.numFrames,this.columnTruncateLength,1])}if(this.includeWaveform){let a=this.flattenQueue(n.timeDataQueue);t=this.getTensorFromAudioDataArray(a,[this.numFrames*this.fftSize,1])}return{value:{spectrogram:e,waveform:t},done:!1}}async capture(){return(await this.next()).value}async getAudioData(){let e=[],t=[],n=0;return new Promise(a=>{let r=setInterval(()=>{this.includeSpectrogram&&(this.analyser.getFloatFrequencyData(this.freqData),this.freqData[0]===-1/0&&a({freqDataQueue:e,timeDataQueue:t}),e.push(this.freqData.slice(0,this.columnTruncateLength))),this.includeWaveform&&(this.analyser.getFloatTimeDomainData(this.timeData),t.push(this.timeData.slice())),++n===this.numFrames&&(clearInterval(r),a({freqDataQueue:e,timeDataQueue:t}))},this.fftSize/this.sampleRateHz*1e3)})}stop(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),this.stream!=null&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())}toArray(){throw new Error("Can not convert infinite audio stream to array.")}getSampleRate(){return this.sampleRateHz}flattenQueue(e){let t=e[0].length,n=new Float32Array(e.length*t);return e.forEach((a,r)=>n.set(a,r*t)),n}getTensorFromAudioDataArray(e,t){let n=new Float32Array(v.sizeFromShape(t));return n.set(e,n.length-e.length),On(n,t)}},N2=class extends en{constructor(e,t){if(super(),this.webcamVideoElement=e,this.webcamConfig=t,this.isClosed=!0,this.resize=!1,this.needToResize())if(this.resize=!0,this.cropSize=[this.webcamConfig.resizeHeight,this.webcamConfig.resizeWidth],this.cropBoxInd=Ke([0],"int32"),this.webcamConfig.centerCrop){let n=this.webcamConfig.resizeWidth*1/this.webcamVideoElement.width,a=this.webcamConfig.resizeHeight*1/this.webcamVideoElement.height,r=(1-n)/2,s=(1-a)/2,i=r+n,o=a+s;this.cropBox=Ca([s,r,o,i],[1,4])}else this.cropBox=Ca([0,0,1,1],[1,4])}summary(){return"webcam"}static async create(e,t={}){if(!H().get("IS_BROWSER"))throw new Error("tf.data.webcam is only supported in browser environment.");if(!e){if(e=document.createElement("video"),!t.resizeWidth||!t.resizeHeight)throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");e.width=t.resizeWidth,e.height=t.resizeHeight}let n=new N2(e,t);return await n.start(),n}async start(){this.webcamConfig.facingMode&&v.assert(this.webcamConfig.facingMode==="user"||this.webcamConfig.facingMode==="environment",()=>`Invalid webcam facing mode: ${this.webcamConfig.facingMode}. Please provide 'user' or 'environment'`);try{this.stream=await navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:"user",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}})}catch(e){throw e.message=`Error thrown while initializing video stream: ${e.message}`,e}if(!this.stream)throw new Error("Could not obtain video from webcam.");try{this.webcamVideoElement.srcObject=this.stream}catch(e){console.log(e),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,new Promise(e=>{this.webcamVideoElement.onloadedmetadata=()=>{e()}})}async next(){if(this.isClosed)return{value:null,done:!0};let e;try{e=co.fromPixels(this.webcamVideoElement)}catch(t){throw new Error(`Error thrown converting video to pixels: ${JSON.stringify(t)}`)}if(this.resize)try{return{value:this.cropAndResizeFrame(e),done:!1}}catch(t){throw new Error(`Error thrown cropping the video: ${t.message}`)}finally{e.dispose()}else return{value:e,done:!1}}needToResize(){return!!(this.webcamConfig.resizeWidth&&this.webcamConfig.resizeHeight&&(this.webcamVideoElement.width!==this.webcamConfig.resizeWidth||this.webcamVideoElement.height!==this.webcamConfig.resizeHeight))}cropAndResizeFrame(e){return P(()=>{let t=hn(oe(e,"float32"),0),n;n=Ir.cropAndResize(t,this.cropBox,this.cropBoxInd,this.cropSize,"bilinear");let a=n.shape;return B(n,a.slice(1))})}async capture(){return(await this.next()).value}stop(){this.stream.getTracks().forEach(e=>e.stop());try{this.webcamVideoElement.srcObject=null}catch(e){console.log(e),this.webcamVideoElement.src=null}this.isClosed=!0}toArray(){throw new Error("Can not convert infinite video stream to array.")}},C2=class{},_2=class extends en{split(e){return new W6(this,e)}},W6=class extends _2{constructor(e,t){super(),this.upstream=e,this.impl=new V6(e,t)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},V6=class extends w0{constructor(e,t){super(),this.upstream=e,this.separator=t,this.carryover=""}summary(){return`${this.upstream.summary()} -> Split('${this.separator}')`}async pump(){let e=await this.upstream.next();if(e.done)return this.carryover===""?!1:(this.outputQueue.push(this.carryover),this.carryover="",!0);let t=e.value.split(this.separator);t[0]=this.carryover+t[0];for(let n of t.slice(0,-1))this.outputQueue.push(n);return this.carryover=t[t.length-1],!0}},U6=class extends en{decodeUTF8(){return new G6(this)}},G6=class extends _2{constructor(e){super(),this.upstream=e,this.impl=new H6(e)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},H6=class extends w0{constructor(e){if(super(),this.upstream=e,H().get("IS_BROWSER"))this.decoder=new TextDecoder("utf-8");else{let{StringDecoder:t}=hI();this.decoder=new t("utf8")}}summary(){return`${this.upstream.summary()} -> Utf8`}async pump(){let e=await this.upstream.next(),t;if(e.done)return!1;t=e.value;let n;return H().get("IS_BROWSER")?n=this.decoder.decode(t,{stream:!0}):n=this.decoder.write(Buffer.from(t.buffer)),this.outputQueue.push(n),!0}},E2=class extends U6{constructor(e,t={}){super(),this.file=e,this.options=t,v.assert(e instanceof Uint8Array||(H().get("IS_BROWSER")?e instanceof File||e instanceof Blob:!1),()=>"FileChunkIterator only supports File, Blob and Uint8Array right now."),this.offset=t.offset||0,this.chunkSize=t.chunkSize||1024*1024}summary(){return`FileChunks ${this.file}`}async next(){return this.offset>=(this.file instanceof Uint8Array?this.file.byteLength:this.file.size)?{value:null,done:!0}:{value:await new Promise((e,t)=>{let n=this.offset+this.chunkSize;if(this.file instanceof Uint8Array)e(new Uint8Array(this.file.slice(this.offset,n)));else{let a=new FileReader;a.onload=s=>{let i=a.result;if(i instanceof ArrayBuffer&&(i=new Uint8Array(i)),!(i instanceof Uint8Array))return t(new TypeError("FileReader returned unknown type."));e(i)},a.onabort=s=>t(new Error("Aborted")),a.onerror=s=>t(new Error(s.type));let r=this.file.slice(this.offset,n);a.readAsArrayBuffer(r)}this.offset=n}),done:!1}}};async function j6(e,t={},n){let a,r;typeof e=="string"?a=e:(a=e.url,r=q6(e));let s=await(n||v.fetch)(a,r);if(s.ok){let i=new Uint8Array(await s.arrayBuffer());return new E2(i,t)}else throw new Error(s.statusText)}var q6=e=>({method:e.method,headers:e.headers,body:e.body,mode:e.mode,credentials:e.credentials,cache:e.cache,redirect:e.redirect,referrer:e.referrer,integrity:e.integrity});function A2(e){return typeof e=="string"&&e.slice(0,7)==="file://"}var $2=class extends C2{constructor(e,t={}){super(),this.input=e,this.options=t}async iterator(){if(A2(this.input)&&H().get("IS_NODE")){let e=bx();this.input=e.readFileSync(this.input.slice(7))}return new E2(this.input,this.options)}},F2=class extends C2{constructor(e,t={}){super(),this.url=e,this.fileOptions=t}async iterator(){return A2(this.url)?new $2(this.url,this.fileOptions).iterator():j6(this.url,this.fileOptions)}};function K6(e,t={}){return new S2(new F2(e),t)}function X6(e){let t=v0(e);return qn(async()=>t)}function Y6(e){return qn(async()=>{let t=await e();return v0(()=>t.next())})}async function Z6(e,t){return N2.create(e,t)}async function J6(e){return T2.create(e)}var Q6="3.21.0";function ge(e,t){Array.isArray(e)||(e=[e]),e.forEach(n=>{n!=null&&v.assert(n.dtype!=="complex64",()=>`${t} does not support complex64 tensors in the CPU backend.`)})}var ej=pr.whereImpl,k0=class extends nc{constructor(){super(),this.blockSize=48,this.firstUse=!0,this.data=new Hh(this,Ja())}nextDataId(){return k0.nextDataId++}write(e,t,n){this.firstUse&&(this.firstUse=!1,H().get("IS_NODE")&&N.warn(` + ${a}, and tensor's shape is: ${e.shape}`);let s=e.shape.slice(1),i=tx(s,n),o=a===0?0:e.size/a,l=P(()=>{let p=[];e=W(e,[1,a,o]);for(let d=0;d{switch(e.op){case"If":case"StatelessIf":{let a=k("thenBranch",e,t,n),r=k("elseBranch",e,t,n),s=k("cond",e,t,n),i=k("args",e,t,n);return(await s.data())[0]?n.functionMap[a].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap):n.functionMap[r].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap)}case"While":case"StatelessWhile":{let a=k("body",e,t,n),r=k("cond",e,t,n),s=k("args",e,t,n),i=await n.functionMap[r].executeFunctionAsync(s,n.tensorArrayMap,n.tensorListMap),o=s.map(p=>p.id),l=await i[0].data();i.forEach(p=>{!p.kept&&o.indexOf(p.id)===-1&&p.dispose()});let u=s;for(;l[0];){let p=u;u=await n.functionMap[a].executeFunctionAsync(u,n.tensorArrayMap,n.tensorListMap);let d=u.map(h=>h.id);p.forEach(h=>{!h.kept&&o.indexOf(h.id)===-1&&d.indexOf(h.id)===-1&&h.dispose()});let c=await n.functionMap[r].executeFunctionAsync(u,n.tensorArrayMap,n.tensorListMap);l=await c[0].data(),c.forEach(h=>{!h.kept&&o.indexOf(h.id)===-1&&d.indexOf(h.id)===-1&&h.dispose()})}return u}case"LoopCond":{let a=k("pred",e,t,n);return[kr(a)]}case"Switch":{let a=k("pred",e,t,n),r=k("data",e,t,n);return r.kept||(r=kr(r)),(await a.data())[0]?[void 0,r]:[r,void 0]}case"Merge":{let a=e.inputNames.find(r=>vn(r,t,n)!==void 0);if(a){let r=vn(a,t,n);return[kr(r)]}return}case"Enter":{let a=k("frameName",e,t,n),r=k("tensor",e,t,n);return n.enterFrame(a),[kr(r)]}case"Exit":{let a=k("tensor",e,t,n);return n.exitFrame(),[kr(a)]}case"NextIteration":{let a=k("tensor",e,t,n);return n.nextIteration(),[kr(a)]}case"TensorArrayV3":{let a=k("size",e,t,n),r=k("dtype",e,t,n),s=k("elementShape",e,t,n),i=k("dynamicSize",e,t,n),o=k("clearAfterRead",e,t,n),l=k("identicalElementShapes",e,t,n),u=k("name",e,t,n),p=new HH(u,r,a,s,l,i,o);return n.addTensorArray(p),[p.idTensor,ye(1)]}case"TensorArrayWriteV3":{let a=k("tensorArrayId",e,t,n),r=k("index",e,t,n),s=k("tensor",e,t,n),i=n.getTensorArray(a.id);return i.write(r,s),[i.idTensor]}case"TensorArrayReadV3":{let a=k("tensorArrayId",e,t,n),r=k("index",e,t,n);return[n.getTensorArray(a.id).read(r)]}case"TensorArrayGatherV3":{let a=k("tensorArrayId",e,t,n),r=k("indices",e,t,n),s=k("dtype",e,t,n);return[n.getTensorArray(a.id).gather(r,s)]}case"TensorArrayScatterV3":{let a=k("tensorArrayId",e,t,n),r=k("indices",e,t,n),s=k("tensor",e,t,n),i=n.getTensorArray(a.id);return i.scatter(r,s),[i.idTensor]}case"TensorArrayConcatV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id),s=k("dtype",e,t,n);return[r.concat(s)]}case"TensorArraySplitV3":{let a=k("tensorArrayId",e,t,n),r=k("tensor",e,t,n),s=k("lengths",e,t,n),i=n.getTensorArray(a.id);return i.split(s,r),[i.idTensor]}case"TensorArraySizeV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id);return[ye(r.size(),"int32")]}case"TensorArrayCloseV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id);return r.clearAndClose(),[r.idTensor]}case"TensorListSetItem":{let a=k("tensorListId",e,t,n),r=k("index",e,t,n),s=k("tensor",e,t,n),i=n.getTensorList(a.id);return i.setItem(r,s),[i.idTensor]}case"TensorListGetItem":{let a=k("tensorListId",e,t,n),r=k("index",e,t,n),s=k("elementShape",e,t,n),i=k("elementDType",e,t,n);return[n.getTensorList(a.id).getItem(r,s,i)]}case"TensorListScatterV2":case"TensorListScatter":{let a=k("indices",e,t,n),r=k("tensor",e,t,n),s=k("elementShape",e,t,n),i=k("numElements",e,t,n),o=KH(r,a,s,i);return n.addTensorList(o),[o.idTensor]}case"TensorListReserve":case"EmptyTensorList":{let a=k("elementShape",e,t,n),r=k("elementDType",e,t,n),s;e.op==="TensorListReserve"?s="numElements":s="maxNumElements";let i=k(s,e,t,n),o=e.op==="TensorListReserve"?-1:i,l=qH(a,r,i,o);return n.addTensorList(l),[l.idTensor]}case"TensorListGather":{let a=k("tensorListId",e,t,n),r=k("indices",e,t,n),s=k("elementShape",e,t,n),i=k("elementDType",e,t,n);return[n.getTensorList(a.id).gather(r,i,s)]}case"TensorListStack":{let a=k("tensorListId",e,t,n),r=k("elementShape",e,t,n),s=k("elementDType",e,t,n),i=k("numElements",e,t,n);return[n.getTensorList(a.id).stack(r,s,i)]}case"TensorListFromTensor":{let a=k("tensor",e,t,n),r=k("elementShape",e,t,n),s=k("elementDType",e,t,n),i=jH(a,r,s);return n.addTensorList(i),[i.idTensor]}case"TensorListConcat":case"TensorListConcatV2":{let a=k("tensorListId",e,t,n),r=n.getTensorList(a.id),s=k("dtype",e,t,n),i=k("elementShape",e,t,n);return[r.concat(s,i)]}case"TensorListPushBack":{let a=k("tensorListId",e,t,n),r=k("tensor",e,t,n),s=n.getTensorList(a.id);return s.pushBack(r),[s.idTensor]}case"TensorListPopBack":{let a=k("tensorListId",e,t,n),r=k("elementShape",e,t,n),s=k("elementDType",e,t,n);return[n.getTensorList(a.id).popBack(r,s)]}case"TensorListSplit":{let a=k("tensor",e,t,n),r=k("elementShape",e,t,n),s=k("lengths",e,t,n),i=XH(a,s,r);return n.addTensorList(i),[i.idTensor]}case"TensorListLength":{let a=k("tensorListId",e,t,n),r=n.getTensorList(a.id);return[ye(r.size(),"int32")]}case"TensorListResize":{let a=k("tensorListId",e,t,n),r=k("size",e,t,n),s=n.getTensorList(a.id).resize(r);return n.addTensorList(s),[s.idTensor]}default:throw TypeError(`Node type ${e.op} is not implemented`)}};function Fk(e,t,n){let[a,r]=k("fusedOps",e,t,n),s=a==="biasadd",i=!s,o=r==="prelu",l=a==="fusedbatchnorm",u=k("numArgs",e,t,n);if(s){if(o&&u!==2)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!o&&s&&u!==1)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(l)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported");let p=k("strides",e,t,n),d=sh(e,t,n),c=k("dataFormat",e,t,n).toUpperCase(),h=k("dilations",e,t,n),[m,f]=k("args",e,t,n);i&&(f=m,m=void 0);let g=k("leakyreluAlpha",e,t,n);return{stride:p,pad:d,dataFormat:c,dilations:h,biasArg:m,preluArg:f,activationFunc:r,leakyreluAlpha:g}}var ZH=(e,t,n,a=un)=>{switch(e.op){case"Conv1D":{let r=k("stride",e,t,n),s=k("pad",e,t,n),i=k("dataFormat",e,t,n).toUpperCase(),o=k("dilation",e,t,n);return[a.conv1d(k("x",e,t,n),k("filter",e,t,n),r,s,i,o)]}case"Conv2D":{let r=k("strides",e,t,n),s=sh(e,t,n),i=k("dataFormat",e,t,n).toUpperCase(),o=k("dilations",e,t,n);return[a.conv2d(k("x",e,t,n),k("filter",e,t,n),[r[1],r[2]],s,i,[o[1],o[2]])]}case"_FusedConv2D":{let{stride:r,pad:s,dataFormat:i,dilations:o,biasArg:l,preluArg:u,activationFunc:p,leakyreluAlpha:d}=Fk(e,t,n);return[a.fused.conv2d({x:k("x",e,t,n),filter:k("filter",e,t,n),strides:[r[1],r[2]],pad:s,dataFormat:i,dilations:[o[1],o[2]],bias:l,activation:p,preluActivationWeights:u,leakyreluAlpha:d})]}case"FusedDepthwiseConv2dNative":{let{stride:r,pad:s,dataFormat:i,dilations:o,biasArg:l,preluArg:u,activationFunc:p,leakyreluAlpha:d}=Fk(e,t,n);return[a.fused.depthwiseConv2d({x:k("x",e,t,n),filter:k("filter",e,t,n),strides:[r[1],r[2]],pad:s,dataFormat:i,dilations:[o[1],o[2]],bias:l,activation:p,preluActivationWeights:u,leakyreluAlpha:d})]}case"Conv2DBackpropInput":case"Conv2dTranspose":{let r=k("outputShape",e,t,n),s=k("strides",e,t,n),i=sh(e,t,n);return[a.conv2dTranspose(k("x",e,t,n),k("filter",e,t,n),r,[s[1],s[2]],i)]}case"DepthwiseConv2dNative":case"DepthwiseConv2d":{let r=k("strides",e,t,n),s=sh(e,t,n),i=k("dilations",e,t,n),o=k("dataFormat",e,t,n).toUpperCase();return[a.depthwiseConv2d(k("input",e,t,n),k("filter",e,t,n),[r[1],r[2]],s,o,[i[1],i[2]])]}case"Conv3D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("dataFormat",e,t,n).toUpperCase(),o=k("dilations",e,t,n);return[a.conv3d(k("x",e,t,n),k("filter",e,t,n),[r[1],r[2],r[3]],s,i,[o[1],o[2],o[3]])]}case"AvgPool":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.avgPool(k("x",e,t,n),[i[1],i[2]],[r[1],r[2]],s)]}case"MaxPool":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.maxPool(k("x",e,t,n),[i[1],i[2]],[r[1],r[2]],s)]}case"MaxPoolWithArgmax":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n),o=k("includeBatchInIndex",e,t,n),{result:l,indexes:u}=a.maxPoolWithArgmax(k("x",e,t,n),[i[1],i[2]],[r[1],r[2]],s,o);return[l,u]}case"AvgPool3D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.avgPool3d(k("x",e,t,n),[i[1],i[2],i[3]],[r[1],r[2],r[3]],s)]}case"MaxPool3D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.maxPool3d(k("x",e,t,n),[i[1],i[2],i[3]],[r[1],r[2],r[3]],s)]}case"Dilation2D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("dilations",e,t,n),o=r[1],l=r[2],u=i[1],p=i[2];return[a.dilation2d(k("x",e,t,n),k("filter",e,t,n),[o,l],s,[u,p],"NHWC")]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},JH=(e,t,n,a=un)=>{switch(e.op){case"Fill":{let r=k("shape",e,t,n),s=k("dtype",e,t,n),i=k("value",e,t,n);return[a.fill(r,i,s)]}case"LinSpace":{let r=k("start",e,t,n),s=k("stop",e,t,n),i=k("num",e,t,n);return[a.linspace(r,s,i)]}case"Multinomial":{let r=k("logits",e,t,n),s=k("numSamples",e,t,n),i=k("seed",e,t,n);return[a.multinomial(r,s,i)]}case"OneHot":{let r=k("indices",e,t,n),s=k("depth",e,t,n),i=k("onValue",e,t,n),o=k("offValue",e,t,n),l=k("dtype",e,t,n);return[a.oneHot(r,s,i,o,l)]}case"Ones":return[a.ones(k("shape",e,t,n),k("dtype",e,t,n))];case"OnesLike":return[a.onesLike(k("x",e,t,n))];case"RandomStandardNormal":return[a.randomStandardNormal(k("shape",e,t,n),k("dtype",e,t,n),k("seed",e,t,n))];case"RandomUniform":return[a.randomUniform(k("shape",e,t,n),k("minval",e,t,n),k("maxval",e,t,n),k("dtype",e,t,n))];case"Range":{let r=k("start",e,t,n),s=k("stop",e,t,n),i=k("step",e,t,n);return[a.range(r,s,i,k("dtype",e,t,n))]}case"TruncatedNormal":{let r=k("shape",e,t,n),s=k("mean",e,t,n),i=k("stdDev",e,t,n),o=k("seed",e,t,n);return[a.truncatedNormal(r,s,i,k("dtype",e,t,n),o)]}case"Zeros":return[a.zeros(k("shape",e,t,n),k("dtype",e,t,n))];case"ZerosLike":return[a.zerosLike(k("x",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function my(e,t,n){let a=k("boxes",e,t,n),r=k("scores",e,t,n),s=k("maxOutputSize",e,t,n),i=k("iouThreshold",e,t,n),o=k("scoreThreshold",e,t,n),l=k("softNmsSigma",e,t,n);return{boxes:a,scores:r,maxOutputSize:s,iouThreshold:i,scoreThreshold:o,softNmsSigma:l}}var QH=async(e,t,n,a,r=un)=>{switch(e.op){case"NonMaxSuppressionV5":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u,softNmsSigma:p}=my(e,t,n),d=await r.image.nonMaxSuppressionWithScoreAsync(s,i,o,l,u,p);return[d.selectedIndices,d.selectedScores]}case"NonMaxSuppressionV4":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u}=my(e,t,n),p=k("padToMaxOutputSize",e,t,n),d=await r.image.nonMaxSuppressionPaddedAsync(s,i,o,l,u,p);return[d.selectedIndices,d.validOutputs]}case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u}=my(e,t,n);return[await r.image.nonMaxSuppressionAsync(s,i,o,l,u)]}case"Where":{let s=r.cast(k("condition",e,t,n),"bool"),i=[await r.whereAsync(s)];return s.dispose(),i}case"ListDiff":return r.setdiff1dAsync(k("x",e,t,n),k("y",e,t,n));default:throw TypeError(`Node type ${e.op} is not implemented`)}},e6=(e,t,n,a=un)=>{switch(e.op){case"LowerBound":{let r=k("sortedSequence",e,t,n),s=k("values",e,t,n);return[a.lowerBound(r,s)]}case"TopKV2":{let r=k("x",e,t,n),s=k("k",e,t,n),i=k("sorted",e,t,n),o=a.topk(r,s,i);return[o.values,o.indices]}case"UpperBound":{let r=k("sortedSequence",e,t,n),s=k("values",e,t,n);return[a.upperBound(r,s)]}case"Unique":{let r=k("x",e,t,n),s=a.unique(r);return[s.values,s.indices]}case"UniqueV2":{let r=k("x",e,t,n),s=k("axis",e,t,n),i=a.unique(r,s);return[i.values,i.indices]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},t6=(e,t,n,a=un)=>{switch(e.op){case"Const":return t[e.name];case"PlaceholderWithDefault":let r=k("default",e,t,n);return[vn(e.name,t,n)||r];case"Placeholder":return[vn(e.name,t,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":{let p=k("x",e,t,n);return[kr(p)]}case"IdentityN":return k("x",e,t,n).map(p=>kr(p));case"Snapshot":let s=k("x",e,t,n);return[kr(s)];case"Shape":return[a.tensor1d(k("x",e,t,n).shape,"int32")];case"ShapeN":return k("x",e,t,n).map(p=>a.tensor1d(p.shape));case"Size":return[a.scalar(k("x",e,t,n).size,"int32")];case"Rank":return[a.scalar(k("x",e,t,n).rank,"int32")];case"NoOp":return[a.scalar(1)];case"Print":let i=k("x",e,t,n),o=k("data",e,t,n),l=k("message",e,t,n),u=k("summarize",e,t,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(l);for(let p=0;pe.dispose()),this.tensorMap.clear(),this.handle.dispose()}size(){return this.tensorMap.size}tensorSize(){return ye(this.size(),"int32")}async import(e,t){this.checkKeyAndValueTensor(e,t);let n=await e.data();return this.tensorMap.forEach(a=>a.dispose()),this.tensorMap.clear(),P(()=>{let a=ct(t),r=n.length,s=a.length;v.assert(r===s,()=>`The number of elements doesn't match, keys has ${r} elements, the values has ${s} elements.`);for(let i=0;i{let a=[];for(let r=0;r{switch(e.op){case"HashTable":case"HashTableV2":{let r=a.getHashTableHandleByName(e.name);if(r!=null)return[r];{let s=k("keyDType",e,t,n),i=k("valueDType",e,t,n),o=new n6(s,i);return a.addHashTable(e.name,o),[o.handle]}}case"LookupTableImport":case"LookupTableImportV2":{let r=k("tableHandle",e,t,n,a),s=k("keys",e,t,n),i=k("values",e,t,n);return[await a.getHashTableById(r.id).import(s,i)]}case"LookupTableFind":case"LookupTableFindV2":{let r=k("tableHandle",e,t,n,a),s=k("keys",e,t,n),i=k("defaultValue",e,t,n);return[await a.getHashTableById(r.id).find(s,i)]}case"LookupTableSize":case"LookupTableSizeV2":{let r=k("tableHandle",e,t,n,a);return[a.getHashTableById(r.id).tensorSize()]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},r6=(e,t,n,a=un)=>{switch(e.op){case"ResizeBilinear":{let r=k("images",e,t,n),s=k("size",e,t,n),i=k("alignCorners",e,t,n),o=k("halfPixelCenters",e,t,n);return[a.image.resizeBilinear(r,[s[0],s[1]],i,o)]}case"ResizeNearestNeighbor":{let r=k("images",e,t,n),s=k("size",e,t,n),i=k("alignCorners",e,t,n),o=k("halfPixelCenters",e,t,n);return[a.image.resizeNearestNeighbor(r,[s[0],s[1]],i,o)]}case"CropAndResize":{let r=k("image",e,t,n),s=k("boxes",e,t,n),i=k("boxInd",e,t,n),o=k("cropSize",e,t,n),l=k("method",e,t,n),u=k("extrapolationValue",e,t,n);return[a.image.cropAndResize(r,s,i,o,l,u)]}case"ImageProjectiveTransformV3":{let r=k("images",e,t,n),s=k("transforms",e,t,n),i=k("outputShape",e,t,n),o=k("fillValue",e,t,n),l=k("interpolation",e,t,n),u=k("fillMode",e,t,n);return[a.image.transform(r,s,l.toLowerCase(),u.toLowerCase(),o,i)]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},s6=(e,t,n,a=un)=>{switch(e.op){case"Equal":return[a.equal(k("a",e,t,n),k("b",e,t,n))];case"NotEqual":return[a.notEqual(k("a",e,t,n),k("b",e,t,n))];case"Greater":return[a.greater(k("a",e,t,n),k("b",e,t,n))];case"GreaterEqual":return[a.greaterEqual(k("a",e,t,n),k("b",e,t,n))];case"Less":return[a.less(k("a",e,t,n),k("b",e,t,n))];case"LessEqual":return[a.lessEqual(k("a",e,t,n),k("b",e,t,n))];case"LogicalAnd":return[a.logicalAnd(k("a",e,t,n),k("b",e,t,n))];case"LogicalNot":return[a.logicalNot(k("a",e,t,n))];case"LogicalOr":return[a.logicalOr(k("a",e,t,n),k("b",e,t,n))];case"Select":case"SelectV2":return[a.where(k("condition",e,t,n),k("a",e,t,n),k("b",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},i6=(e,t,n,a=un)=>{switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[a.matMul(k("a",e,t,n),k("b",e,t,n),k("transposeA",e,t,n),k("transposeB",e,t,n))];case"Einsum":return[a.einsum(k("equation",e,t,n),...k("tensors",e,t,n))];case"Transpose":return[a.transpose(k("x",e,t,n),k("perm",e,t,n))];case"_FusedMatMul":let[r,s]=k("fusedOps",e,t,n),i=r==="biasadd",o=s==="prelu",l=k("numArgs",e,t,n),u=k("leakyreluAlpha",e,t,n);if(i){if(o&&l!==2)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!o&&l!==1)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}let[p,d]=k("args",e,t,n);return[a.fused.matMul({a:k("a",e,t,n),b:k("b",e,t,n),transposeA:k("transposeA",e,t,n),transposeB:k("transposeB",e,t,n),bias:p,activation:s,preluActivationWeights:d,leakyreluAlpha:u})];default:throw TypeError(`Node type ${e.op} is not implemented`)}},o6=(e,t,n,a=un)=>{switch(e.op){case"EuclideanNorm":return[a.euclideanNorm(k("x",e,t,n),k("axis",e,t,n),k("keepDims",e,t,n))];case"FusedBatchNorm":case"FusedBatchNormV2":return[a.batchNorm(k("x",e,t,n),k("mean",e,t,n),k("variance",e,t,n),k("offset",e,t,n),k("scale",e,t,n),k("epsilon",e,t,n))];case"FusedBatchNormV3":return[a.batchNorm(k("x",e,t,n),k("mean",e,t,n),k("variance",e,t,n),k("offset",e,t,n),k("scale",e,t,n),k("epsilon",e,t,n))];case"LRN":return[a.localResponseNormalization(k("x",e,t,n),k("radius",e,t,n),k("bias",e,t,n),k("alpha",e,t,n),k("beta",e,t,n))];case"Softmax":return[a.softmax(k("x",e,t,n))];case"LogSoftmax":return[a.logSoftmax(k("x",e,t,n))];case"SparseToDense":return[a.sparseToDense(k("sparseIndices",e,t,n),k("outputShape",e,t,n),k("sparseValues",e,t,n),k("defaultValue",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},l6=(e,t,n,a=un)=>{switch(e.op){case"Max":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.max(k("x",e,t,n),o,l)]}case"Mean":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.mean(k("x",e,t,n),o,l)]}case"Min":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.min(k("x",e,t,n),o,l)]}case"Sum":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.sum(k("x",e,t,n),o,l)]}case"All":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.all(k("x",e,t,n),o,l)]}case"Any":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.any(k("x",e,t,n),o,l)]}case"ArgMax":{let o=k("axis",e,t,n);return[a.argMax(k("x",e,t,n),o)]}case"ArgMin":{let o=k("axis",e,t,n);return[a.argMin(k("x",e,t,n),o)]}case"Prod":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.prod(k("x",e,t,n),o,l)]}case"Cumprod":{let o=k("axis",e,t,n),l=k("exclusive",e,t,n),u=k("reverse",e,t,n);return[a.cumprod(k("x",e,t,n),o,l,u)]}case"Cumsum":{let o=k("axis",e,t,n),l=k("exclusive",e,t,n),u=k("reverse",e,t,n);return[a.cumsum(k("x",e,t,n),o,l,u)]}case"Bincount":let r=k("x",e,t,n),s=k("weights",e,t,n),i=k("size",e,t,n);return[a.bincount(r,s,i)];case"DenseBincount":{let o=k("x",e,t,n),l=k("weights",e,t,n),u=k("size",e,t,n),p=k("binaryOutput",e,t,n);return[a.denseBincount(o,l,u,p)]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},u6=(e,t,n,a=un)=>{switch(e.op){case"ConcatV2":case"Concat":{let r=k("n",e,t,n),s=k("axis",e,t,n),i=k("tensors",e,t,n);return i=i.slice(0,r),[a.concat(i,s)]}case"Gather":{let r=k("x",e,t,n),s=k("indices",e,t,n);return[a.gather(r,a.cast(s,"int32"),0)]}case"GatherV2":{let r=k("axis",e,t,n),s=k("batchDims",e,t,n),i=k("x",e,t,n),o=k("indices",e,t,n);return[a.gather(i,a.cast(o,"int32"),r,s)]}case"Reverse":{let r=k("dims",e,t,n),s=[];for(let o=0;o{let r=k("axis",e,t,n),s=k("tensors",e,t,n),i=s[0].shape,o=a.squeeze(s[0]).shape,l=s.map(u=>{let p=v.arraysEqual(u.shape,i);if(!p&&!v.arraysEqual(a.squeeze(u).shape,o))throw new Error("the input tensors shape does not match");return p?u:a.reshape(u,i)});return[a.stack(l,r)]});case"Unpack":{let r=k("axis",e,t,n),s=k("tensor",e,t,n);return a.unstack(s,r)}case"Tile":{let r=k("reps",e,t,n);return[a.tile(k("x",e,t,n),r)]}case"Split":case"SplitV":{let r=k("axis",e,t,n),s=k("numOrSizeSplits",e,t,n),i=k("x",e,t,n);return a.split(i,s,r)}case"ScatterNd":{let r=k("indices",e,t,n),s=k("values",e,t,n),i=k("shape",e,t,n);return[a.scatterND(r,s,i)]}case"GatherNd":{let r=k("x",e,t,n),s=k("indices",e,t,n);return[a.gatherND(r,s)]}case"SparseToDense":{let r=k("sparseIndices",e,t,n),s=k("outputShape",e,t,n),i=k("sparseValues",e,t,n),o=k("defaultValue",e,t,n);return[a.sparseToDense(r,i,s,i.dtype===o.dtype?o:a.cast(o,i.dtype))]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},p6=(e,t,n,a=un)=>{switch(e.op){case"SparseFillEmptyRows":{let{outputIndices:r,outputValues:s,emptyRowIndicator:i,reverseIndexMap:o}=a.sparse.sparseFillEmptyRows(k("indices",e,t,n),k("values",e,t,n),k("denseShape",e,t,n),k("defaultValue",e,t,n));return[r,s,i,o]}case"SparseReshape":{let{outputIndices:r,outputShape:s}=a.sparse.sparseReshape(k("inputIndices",e,t,n),k("inputShape",e,t,n),k("newShape",e,t,n));return[r,s]}case"SparseSegmentMean":return[a.sparse.sparseSegmentMean(k("data",e,t,n),k("indices",e,t,n),k("segmentIds",e,t,n))];case"SparseSegmentSum":return[a.sparse.sparseSegmentSum(k("data",e,t,n),k("indices",e,t,n),k("segmentIds",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},c6=(e,t,n,a=un)=>{switch(e.op){case"FFT":return[a.fft(k("x",e,t,n))];case"IFFT":return[a.ifft(k("x",e,t,n))];case"RFFT":return[a.rfft(k("x",e,t,n))];case"IRFFT":return[a.irfft(k("x",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},d6=(e,t,n,a=un)=>{switch(e.op){case"StringNGrams":{let{nGrams:r,nGramsSplits:s}=a.string.stringNGrams(k("data",e,t,n),k("dataSplits",e,t,n),k("separator",e,t,n),k("nGramWidths",e,t,n),k("leftPad",e,t,n),k("rightPad",e,t,n),k("padWidth",e,t,n),k("preserveShortSequences",e,t,n));return[r,s]}case"StringSplit":{let{indices:r,values:s,shape:i}=a.string.stringSplit(k("input",e,t,n),k("delimiter",e,t,n),k("skipEmpty",e,t,n));return[r,s,i]}case"StringToHashBucketFast":return[a.string.stringToHashBucketFast(k("input",e,t,n),k("numBuckets",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},h6=(e,t,n,a=un)=>{switch(e.op){case"Cast":return[a.cast(k("x",e,t,n),k("dtype",e,t,n))];case"ExpandDims":{let r=k("axis",e,t,n);return[a.expandDims(k("x",e,t,n),r)]}case"Squeeze":{let r=k("axis",e,t,n);return[a.squeeze(k("x",e,t,n),r)]}case"Reshape":return[a.reshape(k("x",e,t,n),k("shape",e,t,n))];case"MirrorPad":return[a.mirrorPad(k("x",e,t,n),k("padding",e,t,n),k("mode",e,t,n))];case"PadV2":case"Pad":return[a.pad(k("x",e,t,n),k("padding",e,t,n),k("constantValue",e,t,n))];case"SpaceToBatchND":{let r=k("blockShape",e,t,n),s=k("paddings",e,t,n);return[a.spaceToBatchND(k("x",e,t,n),r,s)]}case"BatchToSpaceND":{let r=k("blockShape",e,t,n),s=k("crops",e,t,n);return[a.batchToSpaceND(k("x",e,t,n),r,s)]}case"DepthToSpace":{let r=k("blockSize",e,t,n),s=k("dataFormat",e,t,n).toUpperCase();return[a.depthToSpace(k("x",e,t,n),r,s)]}case"BroadcastTo":return[a.broadcastTo(k("x",e,t,n),k("shape",e,t,n))];case"BroadcastArgs":return[a.broadcastArgs(k("s0",e,t,n),k("s1",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function Dk(e,t,n,a,r=P){let s=((i,o,l)=>{switch(i.category){case"arithmetic":return r(()=>UH(i,o,l));case"basic_math":return r(()=>GH(i,o,l));case"control":return YH(i,o,l);case"convolution":return r(()=>ZH(i,o,l));case"creation":return r(()=>JH(i,o,l));case"dynamic":return QH(i,o,l);case"evaluation":return r(()=>e6(i,o,l));case"image":return r(()=>r6(i,o,l));case"graph":return r(()=>t6(i,o,l));case"logical":return r(()=>s6(i,o,l));case"matrices":return r(()=>i6(i,o,l));case"normalization":return r(()=>o6(i,o,l));case"reduction":return r(()=>l6(i,o,l));case"slice_join":return r(()=>u6(i,o,l));case"sparse":return r(()=>p6(i,o,l));case"spectral":return r(()=>c6(i,o,l));case"string":return r(()=>d6(i,o,l));case"transformation":return r(()=>h6(i,o,l));case"hash_table":return a6(i,o,l,a);case"custom":let u=QN(i.op);if(u&&u.customExecutor)return u.customExecutor(new VH(i,o,l));throw TypeError(`Custom op ${i.op} is not registered.`);default:throw TypeError(`Unknown op '${i.op}'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()`)}})(e,t,n);return v.isPromise(s)?s.then(i=>[].concat(i)):[].concat(s)}var Rk=class{constructor(e={},t={},n={},a={}){this.weightMap=e,this.tensorArrayMap=t,this.tensorListMap=n,this.functionMap=a,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}newFrame(e,t){return{id:e,frameName:t,iterationId:0}}set currentContext(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())}get currentContext(){return this.contexts}get currentContextId(){return this._currentContextIds[0]}get currentContextIds(){return this._currentContextIds}generateCurrentContextIds(){let e=[];for(let t=0;tt.id===0&&t.iterationId===0?"":`${t.frameName}-${t.iterationId}`).join("/"):""}enterFrame(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}exitFrame(){if(this.contexts&&this.contexts.length>1)this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift();else throw new Error("Cannot exit frame, the context is empty")}nextIteration(){if(this.contexts&&this.contexts.length>0){this.contexts=this.contexts.slice(),this.lastId++;let e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}else throw new Error("Cannot increase frame iteration, the context is empty")}getWeight(e){return this.weightMap[e]}addTensorArray(e){this.tensorArrayMap[e.id]=e}getTensorArray(e){return this.tensorArrayMap[e]}addTensorList(e){this.tensorListMap[e.id]=e}getTensorList(e){return this.tensorListMap[e]}dispose(e){for(let t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(let t in this.tensorListMap)this.tensorListMap[t].clearAndClose(e)}};function Mk(e,t,n,a){let r=new Set,s=[],i=null,o=null,l=new Set,u=Object.keys(e).map(c=>Xn(c)[0]),p=[];a!=null&&(p=a.map(c=>Xn(c.name)[0]));let d=[...t];for(;d.length>0;){let c=d.pop();if((w2(c)||y6(c)||x6(c))&&i==null&&(i=c,o=i.children.map(h=>h.name).filter(h=>r.has(h))),r.add(c.name),n[c.name]==null&&u.indexOf(c.name)===-1&&p.indexOf(c.name)===-1){if(c.inputs.length===0){s.push(c.name);continue}c.inputs.forEach(h=>{l.has(h.name)||(l.add(h.name),d.push(h))})}}return{inputs:e,outputs:t,usedNodes:r,missingInputs:s,dynamicNode:i,syncInputs:o}}function m6(e,t,n){let{usedNodes:a,inputs:r}=n,s=[],i=Object.keys(r).map(p=>Xn(p)[0]).map(p=>e.nodes[p]),o=e.initNodes;i.forEach(p=>{a.has(p.name)&&s.push(p)}),e.weights.forEach(p=>{a.has(p.name)&&s.push(p)}),o!=null&&o.forEach(p=>{a.has(p.name)&&s.push(p)});let l=new Set,u=[];for(;s.length>0;){let p=s.pop();l.add(p.name),t[p.name]||u.push(p),p.children.forEach(d=>{!l.has(d.name)&&a.has(d.name)&&d.inputs.every(c=>l.has(c.name))&&s.push(d)})}return u}var f6=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],g6=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"],b6=["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2","LookupTableSize","LookupTableSizeV2"];function w2(e){return f6.indexOf(e.op)>=0}function y6(e){return g6.indexOf(e.op)>=0}function x6(e){return b6.indexOf(e.op)>=0}var nx=class{constructor(e,t){this.graph=e,this.parent=t,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._functions={},this._functionExecutorMap={},this.intermediateTensors={},this.keepTensorForDebug=!1,this._outputs=e.outputs,this._inputs=e.inputs,this._initNodes=e.initNodes,this._signature=e.signature,this._functions=e.functions,e.functions!=null&&Object.keys(e.functions).forEach(n=>{this._functionExecutorMap[n]=new nx(e.functions[n],this)})}get weightIds(){return this.parent?this.parent.weightIds:this._weightIds}get functionExecutorMap(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}get weightMap(){return this.parent?this.parent.weightMap:this._weightMap}set weightMap(e){let t=Object.keys(e).map(n=>e[n].map(a=>a.id));this._weightIds=[].concat(...t),this._weightMap=e}set resourceManager(e){this._resourceManager=e}get inputs(){return this._inputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get outputs(){return this._outputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get inputNodes(){return this._inputs.map(e=>e.signatureKey||e.name)}get outputNodes(){return this._outputs.map(e=>{let t=e.signatureKey||e.name;return e.defaultOutput?`${t}:${e.defaultOutput}`:t})}get functions(){return Object.keys(this._functions).reduce((e,t)=>(e[t]=this._functions[t].signature,e),{})}getCompilationKey(e,t){let n=e.map(r=>r.name).sort(),a=t.map(r=>r.name).sort();return n.join(this.SEPERATOR)+"--"+a.join(this.SEPERATOR)}compile(e,t){let n=Mk(e,t,this.weightMap,this._initNodes),{missingInputs:a,dynamicNode:r,syncInputs:s}=n;if(r!=null)throw new Error(`This execution contains the node '${r.name}', which has the dynamic op '${r.op}'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs [${s}]`);if(a.length>0){let i=t.map(l=>l.name),o=Object.keys(e);throw new Error(`Cannot compute the outputs [${i}] from the provided inputs [${o}]. Missing the following inputs: [${a}]`)}return m6(this.graph,this.weightMap,n)}execute(e,t){e=this.mapInputs(e);let n=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);let a=n.map(p=>this.graph.nodes[Xn(p)[0]]),r=t.map(p=>Xn(p)[0]),s=r.map(p=>this.graph.nodes[p]);this.resetIntermediateTensors(),s.length===0&&(s=this._outputs);let i=this.getCompilationKey(a,s),o=this.compiledMap.get(i);o==null&&(o=this.compile(e,s),this.compiledMap.set(i,o));let l={},u={};return P(()=>{let p=new Rk(this.weightMap,l,u,this.functionExecutorMap),d=Object.assign({},this.weightMap);Object.keys(e).forEach(m=>{let[f,g]=Xn(m),b=[];b[g]=e[m],d[f]=b});let c=this.getFrozenTensorIds(d),h={};for(let m=0;mvn(m,d,p))})}getFrozenTensorIds(e){let t=[].concat.apply([],Object.keys(e).map(n=>e[n]).map(n=>n.map(a=>a.id)));return new Set(t)}checkTensorForDisposal(e,t,n,a,r,s,i){t.category==="control"||s.indexOf(e)!==-1||(n[e].forEach(o=>{o!=null&&(i[o.id]=(i[o.id]||0)+t.children.length)}),t.inputs.forEach(o=>{if(o.category!=="control"){let l=wH(o.name,n,a);l!=null&&l.forEach(u=>{if(u&&!u.kept&&!r.has(u.id)){let p=i[u.id];if(p===1){if(!this.keepTensorForDebug)u.dispose();else{let[d,c]=ar(t.name,a);this.intermediateTensors[d]?this.intermediateTensors[d][c]=u:(this.intermediateTensors[d]=[],this.intermediateTensors[d][c]=u)}delete i[u.id]}else p!=null&&i[u.id]--}})}}))}async executeAsync(e,t){return this._executeAsync(e,t)}disposeIntermediateTensors(){!this.intermediateTensors||(Object.keys(this.intermediateTensors).forEach(e=>this.intermediateTensors[e].forEach(t=>t.dispose())),this.disposeTensorsMap())}disposeTensorsMap(){!this.tensorsMap||Object.keys(this.tensorsMap).forEach(e=>{this.tensorsMap[e].forEach(t=>{t&&!t.kept&&!t.isDisposed&&!this.keepIds.has(t.id)&&t.dispose()})})}getIntermediateTensors(){return this.tensorsMap}resetIntermediateTensors(){for(let e in this.intermediateTensors)this.intermediateTensors[e].forEach(t=>t.dispose()),delete this.intermediateTensors[e]}async _executeAsync(e,t,n=!1,a={},r={}){n||(e=this.mapInputs(e),this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t));try{this.keepTensorForDebug=H().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(u){console.warn(u.message)}this.resetIntermediateTensors();let s=new Rk(this.weightMap,a,r,this.functionExecutorMap);this.tensorsMap=await this.executeWithControlFlow(e,s,t,n);let i=t.map(u=>vn(u,this.tensorsMap,s)),o=i.map(u=>u.id),l=Object.keys(e).map(u=>e[u].id);return this.keepIds=new Set([...o,...l,...this.weightIds]),this.keepTensorForDebug||this.disposeTensorsMap(),this.parent==null&&s.dispose(this.keepIds),i}async executeFunctionAsync(e,t,n){let a=e.reduce((r,s,i)=>(r[this.inputs[i].name]=s,r),{});return this._executeAsync(a,this.outputNodes,!0,t,n)}async executeWithControlFlow(e,t,n,a){let r=Object.keys(e),s=r.map(y=>this.graph.nodes[Xn(y)[0]]),i=n.map(y=>Xn(y)[0]),o=i.map(y=>this.graph.nodes[y]);o.length===0&&(o=this._outputs);let{usedNodes:l,missingInputs:u,dynamicNode:p,syncInputs:d}=Mk(e,o,this.weightMap,this._initNodes),c=[...s,...this.graph.weights,...this._initNodes||[]].map(y=>({node:y,contexts:t.currentContext})),h=Object.assign({},this.weightMap);Object.keys(e).forEach(y=>{let[x,w]=Xn(y),I=[];I[w]=e[y],h[x]=I});let m={},f=this.getFrozenTensorIds(h),g={};for(;c.length>0;){let y=this.processStack(s,c,t,h,g,f,i,m,l);await Promise.all(y)}p==null&&!a&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead.");let b=o.filter(y=>!w2(y)&&!vn(y.name,h,t)).map(y=>y.name);if(b.length>0){let y="";throw p!=null&&(y=`Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs [${d}]`),new Error(`Cannot compute the outputs [${b}] from the provided inputs [${r}]. Consider providing the following inputs: [${u}]. ${y}`)}return h}processStack(e,t,n,a,r,s,i,o,l){let u=[];for(;t.length>0;){let p=t.pop();n.currentContext=p.contexts;let d="";if(p.node.op==="Enter"&&k("isConstant",p.node,a,n)&&([d]=ar(p.node.name,n)),a[p.node.name]==null){let c=Dk(p.node,a,n,this._resourceManager);d||([d]=ar(p.node.name,n));let h=n.currentContext;v.isPromise(c)?u.push(c.then(m=>(a[d]=m,n.currentContext=h,this.checkTensorForDisposal(d,p.node,a,n,s,i,o),this.processChildNodes(p.node,t,n,a,r,l),m))):(a[d]=c,this.checkTensorForDisposal(d,p.node,a,n,s,i,o),this.processChildNodes(p.node,t,n,a,r,l))}else this.processChildNodes(p.node,t,n,a,r,l)}return u}processChildNodes(e,t,n,a,r,s){e.children.forEach(i=>{let[o]=ar(i.name,n);r[o]||!s.has(i.name)||(i.op==="Merge"?i.inputNames.some(l=>!!vn(l,a,n))&&(r[o]=!0,t.push({contexts:n.currentContext,node:i})):i.inputNames.every(l=>!!vn(l,a,n))&&(r[o]=!0,t.push({contexts:n.currentContext,node:i})))})}dispose(){Object.keys(this.weightMap).forEach(e=>this.weightMap[e].forEach(t=>t.dispose()))}checkInputShapeAndType(e){Object.keys(e).forEach(t=>{let n=e[t],[a]=Xn(t),r=this.graph.nodes[a];if(r.attrParams.shape&&r.attrParams.shape.value){let s=r.attrParams.shape.value,i=s.length===n.shape.length&&n.shape.every((o,l)=>s[l]===-1||s[l]===o);v.assert(i,()=>`The shape of dict['${r.name}'] provided in model.execute(dict) must be [${s}], but was [${n.shape}]`)}r.attrParams.dtype&&r.attrParams.dtype.value&&v.assert(n.dtype===r.attrParams.dtype.value,()=>`The dtype of dict['${r.name}'] provided in model.execute(dict) must be ${r.attrParams.dtype.value}, but was ${n.dtype}`)})}mapInputs(e){let t={};for(let n in e)if(this._signature!=null&&this._signature.inputs!=null&&this._signature.inputs[n]!=null){let a=this._signature.inputs[n];t[a.name]=e[n]}else t[n]=e[n];return t}checkInputs(e){let t=Object.keys(e).filter(n=>{let[a]=Xn(n);return this.graph.nodes[a]==null});if(t.length>0)throw new Error(`The dict provided in model.execute(dict) has keys: [${t}] that are not part of graph`)}mapOutputs(e){return e.map(t=>this._signature!=null&&this._signature.outputs!=null&&this._signature.outputs[t]!=null?this._signature.outputs[t].name:t,{})}checkOutputs(e){e.forEach(t=>{let[n]=Xn(t);if(!this.graph.nodes[n])throw new Error(`The output '${t}' is not found in the graph`)})}},v6=class{constructor(e={},t={}){this.hashTableNameToHandle=e,this.hashTableMap=t}addHashTable(e,t){this.hashTableNameToHandle[e]=t.handle,this.hashTableMap[t.id]=t}getHashTableHandleByName(e){return this.hashTableNameToHandle[e]}getHashTableById(e){return this.hashTableMap[e]}dispose(){for(let e in this.hashTableMap)this.hashTableMap[e].clearAndClose(),delete this.hashTableMap[e];for(let e in this.hashTableNameToHandle)this.hashTableNameToHandle[e].dispose(),delete this.hashTableNameToHandle[e]}},w6="?tfjs-format=file",k6="model.json",k0=class{constructor(e,t={},n=Ut){this.modelUrl=e,this.loadOptions=t,this.version="n/a",this.io=n,t==null&&(this.loadOptions={}),this.resourceManager=new v6}get modelVersion(){return this.version}get inputNodes(){return this.executor.inputNodes}get outputNodes(){return this.executor.outputNodes}get inputs(){return this.executor.inputs}get outputs(){return this.executor.outputs}get weights(){return this.executor.weightMap}get metadata(){return this.artifacts.userDefinedMetadata}get modelSignature(){return this.signature}get modelStructuredOutputKeys(){return this.structuredOutputKeys}findIOHandler(){let e=this.modelUrl;if(e.load!=null)this.handler=e;else if(this.loadOptions.requestInit!=null)this.handler=this.io.browserHTTPRequest(e,this.loadOptions);else{let t=this.io.getLoadHandlers(e,this.loadOptions);if(t.length===0)t.push(this.io.browserHTTPRequest(e,this.loadOptions));else if(t.length>1)throw new Error(`Found more than one (${t.length}) load handlers for URL '${[e]}'`);this.handler=t[0]}}load(){if(this.findIOHandler(),this.handler.load==null)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let e=this.handler.load();return v.isPromise(e)?e.then(t=>this.loadSync(t)):this.loadSync(e)}loadSync(e){this.artifacts=e;let t=this.artifacts.modelTopology,n=this.artifacts.signature;if(this.artifacts.userDefinedMetadata!=null){let r=this.artifacts.userDefinedMetadata;r.signature!=null&&(n=r.signature),r.structuredOutputKeys!=null&&(this.structuredOutputKeys=r.structuredOutputKeys)}this.signature=n,this.version=`${t.versions.producer}.${t.versions.minConsumer}`;let a=this.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new nx(Ek.Instance.transformGraph(t,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(a),this.executor.resourceManager=this.resourceManager,e.modelInitializer!=null&&e.modelInitializer.node!=null){let r=Ek.Instance.transformGraph(e.modelInitializer);this.initializer=new nx(r),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializerSignature=e.initializerSignature}return!0}async save(e,t){if(typeof e=="string"){let n=this.io.getSaveHandlers(e);if(n.length===0)throw new Error(`Cannot find any save handlers for URL '${e}'`);if(n.length>1)throw new Error(`Found more than one (${n.length}) save handlers for URL '${e}'`);e=n[0]}if(e.save==null)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return e.save(this.artifacts)}predict(e,t){let n=this.execute(e,this.outputNodes);if(this.structuredOutputKeys){let a=n instanceof Te?[n]:n,r={};return a.forEach((s,i)=>r[this.structuredOutputKeys[i]]=s),r}return n}normalizeInputs(e){if(!(e instanceof Te)&&!Array.isArray(e)){if(this.signature!=null&&this.signature.inputs!=null)for(let a in this.signature.inputs){let r=this.signature.inputs[a];r.resourceId!=null&&(e[a]=this.resourceIdToCapturedInput[r.resourceId])}return e}e=Array.isArray(e)?e:[e];let t=Object.keys(this.resourceIdToCapturedInput).length;if(e.length+t!==this.inputNodes.length)throw new Error(`Input tensor count mismatch, the graph model has ${this.inputNodes.length-t} non-resource placeholders, while there are ${e.length} input tensors provided.`);let n=0;return this.inputNodes.reduce((a,r)=>{let s=this.signature?this.signature.inputs[r]:null;return s!=null&&s.resourceId!=null?a[r]=this.resourceIdToCapturedInput[s.resourceId]:a[r]=e[n++],a},{})}normalizeOutputs(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]}executeInitializerGraph(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.execute({},[]):this.initializer.execute({},Object.keys(this.initializerSignature.outputs))}async executeInitializerGraphAsync(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.executeAsync({},[]):this.initializer.executeAsync({},Object.keys(this.initializerSignature.outputs))}setResourceIdToCapturedInput(e){if(this.resourceIdToCapturedInput={},this.initializerSignature){let t=Object.keys(this.initializerSignature.outputs);for(let n=0;n1?n:n[0]}async executeAsync(e,t){this.resourceIdToCapturedInput==null&&this.setResourceIdToCapturedInput(await this.executeInitializerGraphAsync()),e=this.normalizeInputs(e),t=this.normalizeOutputs(t);let n=await this.executor.executeAsync(e,t);return n.length>1?n:n[0]}getIntermediateTensors(){return this.executor.getIntermediateTensors()}disposeIntermediateTensors(){this.executor.disposeIntermediateTensors()}convertTensorMapToTensorsMap(e){return Object.keys(e).reduce((t,n)=>(t[n]=[e[n]],t),{})}dispose(){this.executor.dispose(),this.initializer&&(this.initializer.dispose(),this.resourceIdToCapturedInput&&_e(this.resourceIdToCapturedInput)),this.resourceManager.dispose()}};async function I6(e,t={},n=Ut){if(e==null)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");t==null&&(t={}),t.fromTFHub&&typeof e=="string"&&(e=T6(e));let a=new k0(e,t,n);return await a.load(),a}function S6(e){if(e==null)throw new Error("modelUrl in loadGraphModelSync() cannot be null. Please provide model artifacts or an IOHandler that loads the model");let t;if(e instanceof Array){let[a,r]=e;if(!a)throw new Error("modelJSON must be the first element of the array");if(!r||!(r instanceof ArrayBuffer))throw new Error("An ArrayBuffer of weights must be the second element of the array");if(!("modelTopology"in a))throw new Error("Model JSON is missing 'modelTopology'");if(!("weightsManifest"in a))throw new Error("Model JSON is missing 'weightsManifest'");let s=Ut.getWeightSpecs(a.weightsManifest),i=Ut.getModelArtifactsForJSONSync(a,s,r);t=Ut.fromMemorySync(i)}else if("load"in e)t=e;else if("modelTopology"in e&&"weightSpecs"in e&&"weightData"in e)t=Ut.fromMemorySync(e);else throw new Error("Unknown model format");let n=new k0(t);return n.load(),n}function T6(e){return e.endsWith("/")||(e=e+"/"),`${e}${k6}${w6}`}var N6="4.0.0",k2={};Ae(k2,{CSVDataset:()=>$2,Dataset:()=>Mu,FileDataSource:()=>L2,TextLineDataset:()=>A2,URLDataSource:()=>z2,array:()=>X6,csv:()=>ij,func:()=>oj,generator:()=>lj,microphone:()=>pj,version_data:()=>cj,webcam:()=>uj,zip:()=>Y6});var C6=us(Hh()),_6=us(Hh());function E6(e,t){return Mh(e,t)}function Mh(e,t,n=new Map,a=new Set){if(e==null)return null;if(typeof Blob=="function"&&e instanceof Blob)return e.slice();if(a.has(e))throw new Error("Circular references are not supported.");if(n.has(e))return n.get(e);let r=t(e);if(r.recurse&&r.value!==null)throw new Error("A deep map function may not return both a value and recurse=true.");if(r.recurse)if(fl(e)){let s=Array.isArray(e)?[]:{};a.add(e);for(let i in e){let o=e[i],l=Mh(o,t,n,a);s[i]=l}return a.delete(e),e.__proto__&&(s.__proto__=e.__proto__),s}else throw new Error(`Can't recurse into non-iterable type: ${e}`);else return n.set(e,r.value),r.value}function A6(e,t=S2){return I2(e,t)}function I2(e,t,n=new Set){let a=e[0];if(n.has(a))throw new Error("Circular references are not supported.");let r=t(e);if(r.recurse&&r.value!==null)throw new Error("A deep zip function may not return both a value and recurse=true.");if(r.recurse)if(fl(a)){let s=Array.isArray(a)?[]:{};n.add(a);for(let i in a){let o=e.map(u=>u[i]),l=I2(o,t,n);s[i]=l}return n.delete(a),s}else throw new Error(`Can't recurse into non-iterable type: ${a}`);else return r.value}function S2(e){return e===null?null:fl(e[0])?{value:null,recurse:!0}:{value:e,recurse:!1}}async function T2(e,t){let n=new Map;Mh(e,t,n);for(let a of Array.from(n.keys())){let r=n.get(a);if(v.isPromise(r)){let s=await r;n.set(a,s)}}return Mh(e,t,n)}function fl(e){let t=!1;if(H().get("IS_BROWSER"))t=e instanceof TextDecoder;else{let{StringDecoder:n}=vI();t=e instanceof n}return e!=null&&!ArrayBuffer.isView(e)&&(Array.isArray(e)||typeof e=="object"&&!(e instanceof Te)&&!(e instanceof Promise)&&!t)}function $6(e){return e==null||F6(e)||Array.isArray(e)||typeof e=="object"&&e instanceof Te||v.isTypedArray(e)}function F6(e){return e===null||typeof e!="object"&&typeof e!="function"}function D6(e){return E6(e,R6)}function R6(e){return e instanceof Te?{value:e.clone(),recurse:!1}:fl(e)?{value:null,recurse:!0}:{value:e,recurse:!1}}var N2=class{constructor(e){if(this.capacity=e,this.begin=0,this.end=0,e==null)throw new RangeError("Can't create a ring buffer of unknown capacity.");if(e<1)throw new RangeError("Can't create ring buffer of capacity < 1.");this.data=new Array(e),this.doubledCapacity=2*e}wrap(e){for(;e<0;)e+=this.doubledCapacity;return e%this.doubledCapacity}get(e){if(e<0)throw new RangeError("Can't get item at a negative index.");return this.data[e%this.capacity]}set(e,t){if(e<0)throw new RangeError("Can't set item at a negative index.");this.data[e%this.capacity]=t}length(){let e=this.end-this.begin;return e<0&&(e=this.doubledCapacity+e),e}isFull(){return this.length()===this.capacity}isEmpty(){return this.length()===0}push(e){if(this.isFull())throw new RangeError("Ring buffer is full.");this.set(this.end,e),this.end=this.wrap(this.end+1)}pushAll(e){for(let t of e)this.push(t)}pop(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");this.end=this.wrap(this.end-1);let e=this.get(this.end);return this.set(this.end,void 0),e}unshift(e){if(this.isFull())throw new RangeError("Ring buffer is full.");this.begin=this.wrap(this.begin-1),this.set(this.begin,e)}shift(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");let e=this.get(this.begin);return this.set(this.begin,void 0),this.begin=this.wrap(this.begin+1),e}shuffleExcise(e){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");let t=this.wrap(this.begin+e),n=this.get(t);return this.set(t,this.pop()),n}},I0=class extends N2{constructor(){super(I0.INITIAL_CAPACITY)}isFull(){return!1}push(e){super.isFull()&&this.expand(),super.push(e)}unshift(e){super.isFull()&&this.expand(),super.unshift(e)}expand(){let e=this.capacity*2,t=new Array(e),n=this.length();for(let a=0;at===!0)}rowMajorBatch(e,t=!0){return new V6(this,e,t)}columnMajorBatch(e,t=!0,n=S2){return this.rowMajorBatch(e,t).map(a=>A6(a,n))}concatenate(e,t){return new _2(C2([this,e]),t)}take(e){return e<0||e==null?this:new B6(this,e)}skip(e){return e<0||e==null?this:new W6(this,e)}prefetch(e){return new E2(this,e)}shuffle(e,t){return new K6(this,e,t)}serial(){return new z6(this)}},O6=class extends tn{constructor(e){super(),this.items=e,this.trav=0}summary(){return`Array of ${this.items.length} items`}async next(){if(this.trav>=this.items.length)return{value:null,done:!0};let e=this.items[this.trav];return this.trav++,{value:D6(e),done:!1}}},L6=class extends tn{constructor(e){super(),this.nextFn=e}summary(){return"Function call"}async next(){try{return this.nextFn()}catch(e){throw e.message=`Error thrown while iterating through a dataset: ${e.message}`,e}}},z6=class extends tn{constructor(e){super(),this.upstream=e,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Serial`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){return this.upstream.next()}},W6=class extends tn{constructor(e,t){super(),this.upstream=e,this.maxCount=t,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Skip`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.count++ Take`}async next(){return this.count++>=this.maxCount?{value:null,done:!0}:this.upstream.next()}},V6=class extends tn{constructor(e,t,n=!0){super(),this.upstream=e,this.batchSize=t,this.enableSmallLastBatch=n,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> RowMajorBatch`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){let e=[];for(;e.length0?{value:e,done:!1}:{value:null,done:!0};e.push(t.value)}return{value:e,done:!1}}},U6=class extends tn{constructor(e,t){super(),this.upstream=e,this.predicate=t,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Filter`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;){let e=await this.upstream.next();if(e.done||this.predicate(e.value))return e;_e(e.value)}}},G6=class extends tn{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> Map`}async next(){let e=await this.upstream.next();if(e.done)return{value:null,done:!0};let t=Va.getTensorsInContainer(e.value),n=this.transform(e.value),a=Va.getTensorsInContainer(n);for(let r of t)Va.isTensorInList(r,a)||r.dispose();return{value:n,done:!1}}},H6=class extends tn{constructor(e,t){super(),this.upstream=e,this.handler=t,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> handleErrors`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;)try{return await this.upstream.next()}catch(e){if(!this.handler(e))return{value:null,done:!0}}}},Pk=class extends tn{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> AsyncMap`}async next(){let e=await this.upstream.next();if(e.done)return{value:null,done:!0};let t=Va.getTensorsInContainer(e.value),n=await this.transform(e.value),a=Va.getTensorsInContainer(n);for(let r of t)Va.isTensorInList(r,a)||r.dispose();return{value:n,done:!1}}},T0=class extends tn{constructor(){super(),this.outputQueue=new I0,this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.outputQueue.length()===0;)if(!await this.pump())return{value:null,done:!0};return{value:this.outputQueue.shift(),done:!1}}},j6=class extends T0{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> Flatmap`}async pump(){let e=await this.upstream.next();if(e.done)return!1;let t=Va.getTensorsInContainer(e.value),n=this.transform(e.value),a=Va.getTensorsInContainer(n);this.outputQueue.pushAll(n);for(let r of t)Va.isTensorInList(r,a)||r.dispose();return!0}},_2=class extends tn{constructor(e,t){super(),this.baseErrorHandler=t,this.lastRead=null,this.iterator=null,this.moreIterators=e}summary(){return"TODO: fill in upstream of chained summaries -> Chained"}async next(){return this.lastRead=this.readFromChain(this.lastRead),this.lastRead}async readFromChain(e){if(await e,this.iterator==null){let n=await this.moreIterators.next();if(n.done)return{value:null,done:!0};this.iterator=n.value,this.baseErrorHandler!=null&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler))}let t=await this.iterator.next();return t.done?(this.iterator=null,this.readFromChain(e)):t}},Yr;(function(e){e[e.FAIL=0]="FAIL",e[e.SHORTEST=1]="SHORTEST",e[e.LONGEST=2]="LONGEST"})(Yr||(Yr={}));var q6=class extends tn{constructor(e,t=Yr.FAIL){super(),this.iterators=e,this.mismatchMode=t,this.count=0,this.currentPromise=null}summary(){return"{TODO: fill in upstream of zip summaries} -> Zip"}async nextState(e){await e;let t=0,n=0;function a(s){return s instanceof tn?{value:s.next().then(i=>(t++,i.done&&n++,i.value)),recurse:!1}:{value:null,recurse:!0}}let r=await T2(this.iterators,a);if(t===n)return{value:null,done:!0};if(n>0)switch(this.mismatchMode){case Yr.FAIL:throw new Error(`Zipped streams should have the same length. Mismatched at element ${this.count}.`);case Yr.SHORTEST:return{value:null,done:!0};case Yr.LONGEST:default:}return this.count++,{value:r,done:!1}}async next(){return this.currentPromise=this.nextState(this.currentPromise),this.currentPromise}},E2=class extends tn{constructor(e,t){super(),this.upstream=e,this.bufferSize=t,this.buffer=new N2(t)}summary(){return`${this.upstream.summary()} -> Prefetch`}refill(){for(;!this.buffer.isFull();){let e=this.upstream.next();this.buffer.push(e)}}next(){return this.refill(),this.buffer.shift()}},K6=class extends E2{constructor(e,t,n){super(e,t),this.upstream=e,this.windowSize=t,this.upstreamExhausted=!1,this.random=_6.alea(n||v.now().toString()),this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}randomInt(e){return Math.floor(this.random()*e)}chooseIndex(){return this.randomInt(this.buffer.length())}async serialNext(){for(this.upstreamExhausted||this.refill();!this.buffer.isEmpty();){let e=this.chooseIndex(),t=await this.buffer.shuffleExcise(e);if(t.done)this.upstreamExhausted=!0;else return this.refill(),t}return{value:null,done:!0}}},Mu=class{constructor(){this.size=null}batch(e,t=!0){let n=this;v.assert(e>0,()=>`batchSize needs to be positive, but it is + ${e}`);let a;return this.size===1/0||this.size==null?a=this.size:t?a=Math.ceil(this.size/e):a=Math.floor(this.size/e),Kn(async()=>(await n.iterator()).columnMajorBatch(e,t,Z6),a)}concatenate(e){let t=this,n;return this.size===1/0||e.size===1/0?n=1/0:this.size!=null&&e.size!=null?n=this.size+e.size:n=null,Kn(async()=>(await t.iterator()).concatenate(await e.iterator()),n)}filter(e){let t=this,n;return this.size===1/0?n=1/0:n=null,Kn(async()=>(await t.iterator()).filter(a=>P(()=>e(a))),n)}async forEachAsync(e){return(await this.iterator()).forEachAsync(e)}map(e){let t=this;return Kn(async()=>(await t.iterator()).map(n=>P(()=>e(n))),this.size)}mapAsync(e){let t=this;return Kn(async()=>(await t.iterator()).mapAsync(e),this.size)}prefetch(e){if(e==null)throw new RangeError("`Dataset.prefetch()` requires bufferSize to be specified.");let t=this;return Kn(async()=>(await t.iterator()).prefetch(e),this.size)}repeat(e){let t=this,n;return this.size!=null&&e>0?n=this.size*e:e===0?n=0:this.size!=null&&(e===void 0||e<0)?n=1/0:n=null,Kn(async()=>{let a=S0(async()=>({value:await t.iterator(),done:!1}));return M6(a.take(e))},n)}skip(e){let t=this,n;return this.size!=null&&e>=0&&this.size>=e?n=this.size-e:this.size!=null&&(this.size(await t.iterator()).skip(e),n)}shuffle(e,t,n=!0){if(e==null||e<0)throw this.size==null?new RangeError("`Dataset.shuffle()` requires bufferSize to be specified."):new RangeError(`\`Dataset.shuffle()\` requires bufferSize to be specified. If your data fits in main memory (for regular JS objects), and/or GPU memory (for \`tf.Tensor\`s), consider setting bufferSize to the dataset size (${this.size} elements)`);let a=this,r=C6.alea(t||v.now().toString());return Kn(async()=>{let s=r.int32();return n&&(s+=r.int32()),(await a.iterator()).shuffle(e,s.toString())},this.size)}take(e){let t=this,n;return this.size!=null&&this.size>e?n=e:this.size!=null&&this.size<=e?n=this.size:n=null,Kn(async()=>(await t.iterator()).take(e),n)}async toArray(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArray()}async toArrayForTest(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArrayForTest()}};Mu.MAX_BUFFER_SIZE=1e4;function Kn(e,t=null){return new class extends Mu{constructor(){super(...arguments),this.size=t}async iterator(){return e()}}}function X6(e){return Kn(async()=>C2(e),e.length)}function Y6(e){if(!fl(e))throw new Error("The argument to zip() must be an object or array.");let t;if(Array.isArray(e))for(let n=0;n{let n=await T2(e,a=>{if(a instanceof Mu)return{value:a.iterator(),recurse:!1};if(fl(a))return{value:null,recurse:!0};throw new Error("Leaves of the structure passed to zip() must be Datasets, not primitives.")});return P6(n,Yr.SHORTEST)},t)}function Z6(e){if(e===null)return null;let t=e[0];return $6(t)?{value:J6(e),recurse:!1}:{value:null,recurse:!0}}function J6(e){if(e.length===0)throw new Error("Can't make a batch of zero elements.");return e[0]instanceof Te?Ft(e):kn(e)}var A2=class extends Mu{constructor(e){super(),this.input=e}async iterator(){return(await this.input.iterator()).decodeUTF8().split(` +`).map(e=>(e.endsWith("\r")&&(e=e.slice(0,-1)),e))}},Zd='"',Np=Symbol("out"),Ok=Symbol("field"),Jd=Symbol("quote"),fy=Symbol("quoteafterquote"),Lk=Symbol("quoteinquote"),$2=class extends Mu{constructor(e,t){super(),this.input=e,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=",",this.delimWhitespace=!1,this.base=new A2(e),t||(t={}),this.hasHeader=t.hasHeader!==!1,this.fullColumnNames=t.columnNames,this.columnConfigs=t.columnConfigs,this.configuredColumnsOnly=t.configuredColumnsOnly,t.delimWhitespace?(v.assert(t.delimiter==null,()=>"Delimiter should not be provided when delimWhitespace is true."),this.delimWhitespace=!0,this.delimiter=" "):this.delimiter=t.delimiter?t.delimiter:","}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){let e=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!e)throw new Error("Column names must be provided if there is no header line.");this.fullColumnNames&&e&&v.assert(e.length===this.fullColumnNames.length,()=>"The length of provided columnNames ("+this.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+e.length.toString()+")."),this.fullColumnNames||(this.fullColumnNames=e);let t=this.fullColumnNames.reduce((a,r)=>(a[r]=a[r]+1||1,a),{}),n=Object.keys(t).filter(a=>t[a]>1);if(v.assert(n.length===0,()=>"Duplicate column names found: "+n.toString()),this.columnConfigs){for(let a of Object.keys(this.columnConfigs))if(this.fullColumnNames.indexOf(a)===-1)throw new Error('The key "'+a+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").")}this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){let e=await(await this.base.iterator()).next();if(e.done)throw new Error("No data was found for CSV parsing.");let t=e.value;return this.parseRow(t,!1)}else return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let e=await this.base.iterator();return this.hasHeader&&(e=e.skip(1)),e.map(t=>this.makeDataElement(t))}makeDataElement(e){let t=this.parseRow(e),n={},a={};for(let r=0;r14||!Number.isInteger(t))throw new Error(`Invalid fftSize: it must be a power of 2 between 2 to 4 and 2 to 14, but got ${this.fftSize}`);if(this.numFrames=e.numFramesPerSpectrogram||43,this.sampleRateHz=e.sampleRateHz,this.columnTruncateLength=e.columnTruncateLength||this.fftSize,this.audioTrackConstraints=e.audioTrackConstraints,this.smoothingTimeConstant=e.smoothingTimeConstant||0,this.includeSpectrogram=e.includeSpectrogram!==!1,this.includeWaveform=e.includeWaveform===!0,!this.includeSpectrogram&&!this.includeWaveform)throw new Error("Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.")}summary(){return"microphone"}static async create(e={}){if(!H().get("IS_BROWSER"))throw new Error("microphone API is only supported in browser environment.");let t=new F2(e);return await t.start(),t}async start(){try{this.stream=await navigator.mediaDevices.getUserMedia({audio:this.audioTrackConstraints==null?!0:this.audioTrackConstraints,video:!1})}catch(n){throw new Error(`Error thrown while initializing video stream: ${n.message}`)}if(!this.stream)throw new Error("Could not obtain audio from microphone.");let e=window.AudioContext||window.webkitAudioContext;if(this.audioContext=new e,!this.sampleRateHz)this.sampleRateHz=this.audioContext.sampleRate;else if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error(`Mismatch in sampling rate: Expected: ${this.sampleRateHz}; Actual: ${this.audioContext.sampleRate}`);let t=this.audioContext.createMediaStreamSource(this.stream);this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=this.fftSize*2,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,t.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize)}async next(){if(this.isClosed)return{value:null,done:!0};let e,t,n=await this.getAudioData();if(this.includeSpectrogram){let a=this.flattenQueue(n.freqDataQueue);e=this.getTensorFromAudioDataArray(a,[this.numFrames,this.columnTruncateLength,1])}if(this.includeWaveform){let a=this.flattenQueue(n.timeDataQueue);t=this.getTensorFromAudioDataArray(a,[this.numFrames*this.fftSize,1])}return{value:{spectrogram:e,waveform:t},done:!1}}async capture(){return(await this.next()).value}async getAudioData(){let e=[],t=[],n=0;return new Promise(a=>{let r=setInterval(()=>{this.includeSpectrogram&&(this.analyser.getFloatFrequencyData(this.freqData),this.freqData[0]===-1/0&&a({freqDataQueue:e,timeDataQueue:t}),e.push(this.freqData.slice(0,this.columnTruncateLength))),this.includeWaveform&&(this.analyser.getFloatTimeDomainData(this.timeData),t.push(this.timeData.slice())),++n===this.numFrames&&(clearInterval(r),a({freqDataQueue:e,timeDataQueue:t}))},this.fftSize/this.sampleRateHz*1e3)})}stop(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),this.stream!=null&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())}toArray(){throw new Error("Can not convert infinite audio stream to array.")}getSampleRate(){return this.sampleRateHz}flattenQueue(e){let t=e[0].length,n=new Float32Array(e.length*t);return e.forEach((a,r)=>n.set(a,r*t)),n}getTensorFromAudioDataArray(e,t){let n=new Float32Array(v.sizeFromShape(t));return n.set(e,n.length-e.length),kn(n,t)}},D2=class extends tn{constructor(e,t){if(super(),this.webcamVideoElement=e,this.webcamConfig=t,this.isClosed=!0,this.resize=!1,this.needToResize())if(this.resize=!0,this.cropSize=[this.webcamConfig.resizeHeight,this.webcamConfig.resizeWidth],this.cropBoxInd=Ke([0],"int32"),this.webcamConfig.centerCrop){let n=this.webcamConfig.resizeWidth*1/this.webcamVideoElement.width,a=this.webcamConfig.resizeHeight*1/this.webcamVideoElement.height,r=(1-n)/2,s=(1-a)/2,i=r+n,o=a+s;this.cropBox=_a([s,r,o,i],[1,4])}else this.cropBox=_a([0,0,1,1],[1,4])}summary(){return"webcam"}static async create(e,t={}){if(!H().get("IS_BROWSER"))throw new Error("tf.data.webcam is only supported in browser environment.");if(!e){if(e=document.createElement("video"),!t.resizeWidth||!t.resizeHeight)throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");e.width=t.resizeWidth,e.height=t.resizeHeight}let n=new D2(e,t);return await n.start(),n}async start(){this.webcamConfig.facingMode&&v.assert(this.webcamConfig.facingMode==="user"||this.webcamConfig.facingMode==="environment",()=>`Invalid webcam facing mode: ${this.webcamConfig.facingMode}. Please provide 'user' or 'environment'`);try{this.stream=await navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:"user",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}})}catch(e){throw e.message=`Error thrown while initializing video stream: ${e.message}`,e}if(!this.stream)throw new Error("Could not obtain video from webcam.");try{this.webcamVideoElement.srcObject=this.stream}catch(e){console.log(e),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,new Promise(e=>{this.webcamVideoElement.onloadedmetadata=()=>{e()}})}async next(){if(this.isClosed)return{value:null,done:!0};let e;try{e=co.fromPixels(this.webcamVideoElement)}catch(t){throw new Error(`Error thrown converting video to pixels: ${JSON.stringify(t)}`)}if(this.resize)try{return{value:this.cropAndResizeFrame(e),done:!1}}catch(t){throw new Error(`Error thrown cropping the video: ${t.message}`)}finally{e.dispose()}else return{value:e,done:!1}}needToResize(){return!!(this.webcamConfig.resizeWidth&&this.webcamConfig.resizeHeight&&(this.webcamVideoElement.width!==this.webcamConfig.resizeWidth||this.webcamVideoElement.height!==this.webcamConfig.resizeHeight))}cropAndResizeFrame(e){return P(()=>{let t=Zt(oe(e,"float32"),0),n;n=za.cropAndResize(t,this.cropBox,this.cropBoxInd,this.cropSize,"bilinear");let a=n.shape;return W(n,a.slice(1))})}async capture(){return(await this.next()).value}stop(){this.stream.getTracks().forEach(e=>e.stop());try{this.webcamVideoElement.srcObject=null}catch(e){console.log(e),this.webcamVideoElement.src=null}this.isClosed=!0}toArray(){throw new Error("Can not convert infinite video stream to array.")}},R2=class{},M2=class extends tn{split(e){return new Q6(this,e)}},Q6=class extends M2{constructor(e,t){super(),this.upstream=e,this.impl=new ej(e,t)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},ej=class extends T0{constructor(e,t){super(),this.upstream=e,this.separator=t,this.carryover=""}summary(){return`${this.upstream.summary()} -> Split('${this.separator}')`}async pump(){let e=await this.upstream.next();if(e.done)return this.carryover===""?!1:(this.outputQueue.push(this.carryover),this.carryover="",!0);let t=e.value.split(this.separator);t[0]=this.carryover+t[0];for(let n of t.slice(0,-1))this.outputQueue.push(n);return this.carryover=t[t.length-1],!0}},tj=class extends tn{decodeUTF8(){return new nj(this)}},nj=class extends M2{constructor(e){super(),this.upstream=e,this.impl=new aj(e)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},aj=class extends T0{constructor(e){if(super(),this.upstream=e,H().get("IS_BROWSER"))this.decoder=new TextDecoder("utf-8");else{let{StringDecoder:t}=vI();this.decoder=new t("utf8")}}summary(){return`${this.upstream.summary()} -> Utf8`}async pump(){let e=await this.upstream.next(),t;if(e.done)return!1;t=e.value;let n;return H().get("IS_BROWSER")?n=this.decoder.decode(t,{stream:!0}):n=this.decoder.write(Buffer.from(t.buffer)),this.outputQueue.push(n),!0}},P2=class extends tj{constructor(e,t={}){super(),this.file=e,this.options=t,v.assert(e instanceof Uint8Array||(H().get("IS_BROWSER")?e instanceof File||e instanceof Blob:!1),()=>"FileChunkIterator only supports File, Blob and Uint8Array right now."),this.offset=t.offset||0,this.chunkSize=t.chunkSize||1024*1024}summary(){return`FileChunks ${this.file}`}async next(){return this.offset>=(this.file instanceof Uint8Array?this.file.byteLength:this.file.size)?{value:null,done:!0}:{value:await new Promise((e,t)=>{let n=this.offset+this.chunkSize;if(this.file instanceof Uint8Array)e(new Uint8Array(this.file.slice(this.offset,n)));else{let a=new FileReader;a.onload=s=>{let i=a.result;if(i instanceof ArrayBuffer&&(i=new Uint8Array(i)),!(i instanceof Uint8Array))return t(new TypeError("FileReader returned unknown type."));e(i)},a.onabort=s=>t(new Error("Aborted")),a.onerror=s=>t(new Error(s.type));let r=this.file.slice(this.offset,n);a.readAsArrayBuffer(r)}this.offset=n}),done:!1}}};async function rj(e,t={},n){let a,r;typeof e=="string"?a=e:(a=e.url,r=sj(e));let s=await(n||v.fetch)(a,r);if(s.ok){let i=new Uint8Array(await s.arrayBuffer());return new P2(i,t)}else throw new Error(s.statusText)}var sj=e=>({method:e.method,headers:e.headers,body:e.body,mode:e.mode,credentials:e.credentials,cache:e.cache,redirect:e.redirect,referrer:e.referrer,integrity:e.integrity});function O2(e){return typeof e=="string"&&e.slice(0,7)==="file://"}var L2=class extends R2{constructor(e,t={}){super(),this.input=e,this.options=t}async iterator(){if(O2(this.input)&&H().get("IS_NODE")){let e=xx();this.input=e.readFileSync(this.input.slice(7))}return new P2(this.input,this.options)}},z2=class extends R2{constructor(e,t={}){super(),this.url=e,this.fileOptions=t}async iterator(){return O2(this.url)?new L2(this.url,this.fileOptions).iterator():rj(this.url,this.fileOptions)}};function ij(e,t={}){return new $2(new z2(e),t)}function oj(e){let t=S0(e);return Kn(async()=>t)}function lj(e){return Kn(async()=>{let t=await e();return S0(()=>t.next())})}async function uj(e,t){return D2.create(e,t)}async function pj(e){return F2.create(e)}var cj="4.0.0";function ge(e,t){Array.isArray(e)||(e=[e]),e.forEach(n=>{n!=null&&v.assert(n.dtype!=="complex64",()=>`${t} does not support complex64 tensors in the CPU backend.`)})}var dj=cr.whereImpl,N0=class extends rc{constructor(){super(),this.blockSize=48,this.firstUse=!0,this.data=new jh(this,Na())}nextDataId(){return N0.nextDataId++}write(e,t,n){this.firstUse&&(this.firstUse=!1,H().get("IS_NODE")&&N.warn(` ============================ Hi, looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, visit https://github.com/tensorflow/tfjs-node for more details. -============================`));let a={id:this.nextDataId()};return this.data.set(a,{values:e,dtype:n,refCount:1}),a}makeTensorInfo(e,t,n){let a;if(t==="string"&&n!=null&&n.length>0&&v.isString(n[0])){let r=n.map(s=>v.encodeString(s));a=this.write(r,e,t)}else a=this.write(n,e,t);return{dataId:a,shape:e,dtype:t}}refCount(e){return this.data.has(e)?this.data.get(e).refCount:0}incRef(e){let t=this.data.get(e);t.refCount++}decRef(e){if(this.data.has(e)){let t=this.data.get(e);t.refCount--}}move(e,t,n,a,r){this.data.set(e,{values:t,dtype:a,refCount:r})}numDataIds(){return this.data.numDataIds()}async read(e){return this.readSync(e)}readSync(e){let{dtype:t,complexTensorInfos:n}=this.data.get(e);if(t==="complex64"){let a=this.readSync(n.real.dataId),r=this.readSync(n.imag.dataId);return N.mergeRealAndImagArrays(a,r)}return this.data.get(e).values}bufferSync(e){let t=this.readSync(e.dataId);if(e.dtype==="string")try{let n=t.map(a=>v.decodeString(a));return Pe(e.shape,e.dtype,n)}catch(n){throw new Error("Failed to decode encoded string bytes into utf-8")}return Pe(e.shape,e.dtype,t)}makeOutput(e,t,n){return Ja().makeTensorFromTensorInfo(this.makeTensorInfo(t,n,e),this)}disposeData(e,t=!1){if(this.data.has(e)){if(this.data.get(e).refCount--,!t&&this.data.get(e).refCount>0)return!1;let{complexTensorInfos:n}=this.data.get(e);n!=null&&(this.disposeData(n.real.dataId,!0),this.disposeData(n.imag.dataId,!0)),this.data.delete(e)}return!0}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}async time(e){let t=v.now();return e(),{kernelMs:v.now()-t}}memory(){return{unreliable:!0,reasons:["The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less."]}}where(e){ge([e],"where");let t=this.readSync(e.dataId);return ej(e.shape,t)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}};k0.nextDataId=0;var D2={};_e(D2,{addImpl:()=>P2,bincountImpl:()=>S0,bincountReduceImpl:()=>O2,castImpl:()=>M2,ceilImpl:()=>L2,concatImpl:()=>T0,equalImpl:()=>z2,expImpl:()=>W2,expm1Impl:()=>U2,floorImpl:()=>G2,gatherNdImpl:()=>H2,gatherV2Impl:()=>j2,greaterEqualImpl:()=>K2,greaterImpl:()=>q2,lessEqualImpl:()=>Y2,lessImpl:()=>X2,linSpaceImpl:()=>Z2,logImpl:()=>J2,maxImpl:()=>Q2,maximumImpl:()=>eC,minimumImpl:()=>tC,multiplyImpl:()=>N0,negImpl:()=>nC,notEqualImpl:()=>aC,prodImpl:()=>rC,raggedGatherImpl:()=>sC,raggedTensorToTensorImpl:()=>iC,rangeImpl:()=>_0,rsqrtImpl:()=>oC,scatterImpl:()=>Xo,sigmoidImpl:()=>Kj,simpleAbsImpl:()=>R2,sliceImpl:()=>Ph,sparseFillEmptyRowsImpl:()=>uC,sparseReshapeImpl:()=>pC,sparseSegmentReductionImpl:()=>E0,sqrtImpl:()=>Zj,squaredDifferenceImpl:()=>cC,stridedSliceImpl:()=>dC,stringNGramsImpl:()=>A0,stringSplitImpl:()=>$0,stringToHashBucketFastImpl:()=>F0,subImpl:()=>hC,tileImpl:()=>mC,topKImpl:()=>gC,transposeImpl:()=>C0,uniqueImpl:()=>bC});function R2(e){let t=new Float32Array(e.length);for(let n=0;n{let{x:t}=e.inputs,n=e.backend;ge(t,"abs");let a=new Float32Array(v.sizeFromShape(t.shape)),r=n.data.get(t.dataId).values;return a=R2(r),n.makeOutput(a,t.shape,t.dtype)},nj={kernelName:xl,backendName:"cpu",kernelFunc:tj};function Vt(e){return(t,n,a,r,s)=>{let i=N.assertAndGetBroadcastShape(t,n),o=i.length,l=v.computeStrides(i),u=v.sizeFromShape(i),p=v.getTypedArrayFromDType(s,u),d=t.length,c=n.length,h=v.computeStrides(t),m=v.computeStrides(n),f=N.getBroadcastDims(t,i),g=N.getBroadcastDims(n,i);if(f.length+g.length===0)for(let b=0;bx[C]=0);let w=v.locToIndex(x,d,h),I=y.slice(-c);g.forEach(C=>I[C]=0);let T=v.locToIndex(I,c,m);p[b]=e(a[w],r[T])}return[p,i]}}function Xn(e){let{inputs:t,backend:n}=e,{real:a,imag:r}=t,s=n.data.get(a.dataId).values,i=n.data.get(r.dataId).values,o=n.makeTensorInfo(a.shape,"complex64"),l=n.data.get(o.dataId);return l.complexTensorInfos={real:n.makeTensorInfo(a.shape,"float32",s),imag:n.makeTensorInfo(r.shape,"float32",i)},o}var aj={kernelName:Jh,backendName:"cpu",kernelFunc:Xn};function Mh(e,t,n="float32"){if(n==="complex64"){let r=Mh(e,t,"float32"),s=Mh(e,t,"float32");return Xn({inputs:{real:r,imag:s},backend:e})}let a=v.makeZerosTypedArray(v.sizeFromShape(t),n);return e.makeTensorInfo(t,n,a)}function or(e){let{inputs:t,backend:n}=e,{x:a}=t;return n.incRef(a.dataId),{dataId:a.dataId,shape:a.shape,dtype:a.dtype}}var rj={kernelName:Di,backendName:"cpu",kernelFunc:or};function li(e){let{inputs:t,backend:n}=e,{input:a}=t,r=n.data.get(a.dataId).complexTensorInfos.real,s=n.data.get(r.dataId).values;return n.makeTensorInfo(r.shape,r.dtype,s)}var sj={kernelName:xm,backendName:"cpu",kernelFunc:li};function M2(e,t,n,a){if(a==="int32"){let r=Int32Array.from(e);return[t,"int32",r]}if(a==="bool"){let r=v.toTypedArray([0],n),[s,i]=Vt((o,l)=>o!==l?1:0)(t,[],e,r,"bool");return[i,"bool",s]}throw new Error(`Error in Cast: failed to cast ${n} to ${a}`)}function is(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dtype:s}=a;if(s==="complex64"){if(r.dtype==="complex64")return or({inputs:{x:r},backend:n});let p=Mh(n,r.shape,r.dtype),d=is({inputs:{x:r},backend:n,attrs:{dtype:"float32"}}),c=Xn({inputs:{real:d,imag:p},backend:n});return n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(d),c}if(r.dtype==="complex64"){let p=li({inputs:{input:r},backend:n}),d=is({inputs:{x:p},backend:n,attrs:{dtype:s}});return n.disposeIntermediateTensorInfo(p),d}if(!v.hasEncodingLoss(r.dtype,s)){let p=or({inputs:{x:r},backend:n});return{dataId:p.dataId,shape:p.shape,dtype:s}}let i=n.data.get(r.dataId).values,[o,l,u]=M2(i,r.shape,r.dtype,s);return n.makeTensorInfo(o,l,u)}var ij={kernelName:yi,backendName:"cpu",kernelFunc:is};function tn(e,t,n,a){return n==null?({inputs:r,backend:s})=>{let{a:i,b:o}=r,l=s;ge([i,o],e);let u=l.data.get(i.dataId).values,p=l.data.get(o.dataId).values,d=i.dtype==="string"?N.fromUint8ToStringArray(u):u,c=i.dtype==="string"?N.fromUint8ToStringArray(p):p,h=a||i.dtype,[m,f]=t(i.shape,o.shape,d,c,h);return l.makeTensorInfo(f,h,m)}:({inputs:r,backend:s})=>{let{a:i,b:o}=r,l=s;if(i.dtype==="complex64"||o.dtype==="complex64"){let u=is({inputs:{x:i},backend:l,attrs:{dtype:"complex64"}}),p=l.data.get(u.dataId),d=p.complexTensorInfos.real,c=p.complexTensorInfos.imag,h=l.data.get(d.dataId).values,m=l.data.get(c.dataId).values,f=is({inputs:{x:o},backend:l,attrs:{dtype:"complex64"}}),g=l.data.get(f.dataId),b=g.complexTensorInfos.real,y=g.complexTensorInfos.imag,x=l.data.get(b.dataId).values,w=l.data.get(y.dataId).values,[I,T,C]=n(i.shape,o.shape,h,m,x,w),E=l.makeTensorInfo(C,"float32",I),A=l.makeTensorInfo(C,"float32",T),R=Xn({inputs:{real:E,imag:A},backend:l});return l.disposeIntermediateTensorInfo(u),l.disposeIntermediateTensorInfo(f),l.disposeIntermediateTensorInfo(E),l.disposeIntermediateTensorInfo(A),R}else{let u=l.data.get(i.dataId).values,p=l.data.get(o.dataId).values,d=a||i.dtype,[c,h]=t(i.shape,o.shape,u,p,d);return l.makeTensorInfo(h,d,c)}}}function I0(e){return(t,n,a,r,s,i)=>{let o=N.assertAndGetBroadcastShape(t,n),l=v.sizeFromShape(o),u=o.length,p=v.computeStrides(o),d=v.getTypedArrayFromDType("float32",l),c=v.getTypedArrayFromDType("float32",l),h=N.getBroadcastDims(t,o),m=N.getBroadcastDims(n,o),f=N.mergeRealAndImagArrays(a,r),g=N.mergeRealAndImagArrays(s,i),b=t.length,y=v.computeStrides(t),x=n.length,w=v.computeStrides(n);if(h.length+m.length===0)for(let I=0;IC[S]=0);let E=v.locToIndex(C,b,y),A=T.slice(-x);m.forEach(S=>A[S]=0);let R=v.locToIndex(A,x,w),F=e(f[E*2],f[E*2+1],g[R*2],g[R*2+1]);d[I]=F.real,c[I]=F.imag}return[d,c,o]}}var P2=Vt((e,t)=>e+t),oj=I0((e,t,n,a)=>({real:e+n,imag:t+a})),ml=tn(ps,P2,oj),lj={kernelName:ps,backendName:"cpu",kernelFunc:ml};function S0(e,t,n,a,r){let s=v.sizeFromShape(a),i=v.makeZerosTypedArray(r,n);for(let o=0;o=r||(s>0?i[l]+=t[o]:i[l]+=1)}return i}function O2(e,t,n,a=!1){let r=e.shape[0],s=e.shape[1],i=Pe([r,n],t.dtype);for(let o=0;o=n||(a?i.set(1,o,u):t.size>0?i.set(i.get(o,u)+t.get(o,l),o,u):i.set(i.get(o,u)+1,o,u))}return i}function ks(e){return(t,n,a)=>{let r=v.getTypedArrayFromDType(n,t.length);for(let s=0;s{let{x:i}=a;if(ge(i,e),i.dtype==="string"||n==="string")throw new Error("unaryKernelFunc does not support string input/output");let o=s,l=o.data.get(i.dataId).values,u=v.sizeFromShape(i.shape),p=n||i.dtype,d=v.getArrayFromDType(p,u);for(let c=0;c{let{x:i}=a;if(ge(i,e),i.dtype==="string"||n==="string")throw new Error("unaryKernelFunc does not support string input/output");let o=s,l=o.data.get(i.dataId).values,u=n||i.dtype,p=t(l,u,r);return o.makeTensorInfo(i.shape,u,p)}}var L2=ks(e=>Math.ceil(e)),uj=Ru(xi,L2),pj={kernelName:xi,backendName:"cpu",kernelFunc:uj};function T0(e,t,n,a){let r=v.getArrayFromDType(n,v.sizeFromShape(t));if(a&&n!=="string"){let s=0;e.forEach(i=>{let o=v.sizeFromShape(i.shape);r.set(i.vals,s),s+=o})}else{let s=0;e.forEach(i=>{let o=n==="string"?N.fromUint8ToStringArray(i.vals):i.vals,l=0;for(let u=0;ue===t?1:0),B2=tn(Ml,z2,null,"bool"),cj={kernelName:Ml,backendName:"cpu",kernelFunc:B2},W2=ks(e=>Math.exp(e)),V2=Ru(_i,W2,"float32"),dj={kernelName:_i,backendName:"cpu",kernelFunc:V2},U2=ks(e=>Math.expm1(e)),hj=Ru(Ol,U2),mj={kernelName:Ol,backendName:"cpu",kernelFunc:hj},G2=ks(e=>Math.floor(e)),fj=Ru(Ei,G2),gj={kernelName:Ei,backendName:"cpu",kernelFunc:fj};function H2(e,t,n,a,r,s,i,o,l){let u=Pe([a,s],n);for(let p=0;p=l/s)throw new Error(`Invalid indices: ${d} does not index into ${o}`);for(let h=0;he>t?1:0),bj=tn(Wl,q2,null,"bool"),yj={kernelName:Wl,backendName:"cpu",kernelFunc:bj},K2=Vt((e,t)=>e>=t?1:0),xj=tn(Fi,K2,null,"bool"),vj={kernelName:Fi,backendName:"cpu",kernelFunc:xj},X2=Vt((e,t)=>ee<=t?1:0),Ij=tn(jl,Y2,null,"bool"),Sj={kernelName:jl,backendName:"cpu",kernelFunc:Ij};function Z2(e,t,n){let a=(t-e)/(n-1),r=v.makeZerosTypedArray(n,"float32");r[0]=e;for(let s=1;sMath.log(e)),Tj=Ru(Mi,J2),Nj={kernelName:Mi,backendName:"cpu",kernelFunc:Tj};function Q2(e,t,n,a){let r=v.getTypedArrayFromDType(a,v.sizeFromShape(n));for(let s=0;so)&&(o=u)}r[s]=o}return r}var eC=Vt((e,t)=>Math.max(e,t)),Cj=tn(Oi,eC),_j={kernelName:Oi,backendName:"cpu",kernelFunc:Cj},tC=Vt((e,t)=>Math.min(e,t)),Ej=tn(Wi,tC),Aj={kernelName:Wi,backendName:"cpu",kernelFunc:Ej},N0=Vt((e,t)=>e*t),$j=I0((e,t,n,a)=>({real:e*n-t*a,imag:e*a+t*n})),Af=tn(Ui,N0,$j),Fj={kernelName:Ui,backendName:"cpu",kernelFunc:Af};function nC(e,t,n){let a=v.createScalarValue(-1,n);return N0([],t,a,e,n)}function Dj(e){let{inputs:t,backend:n}=e,{x:a}=t;ge(a,"neg");let r=n.data.get(a.dataId).values,[s,i]=nC(r,a.shape,a.dtype);return n.makeTensorInfo(i,a.dtype,s)}var Rj={kernelName:Jl,backendName:"cpu",kernelFunc:Dj},aC=Vt((e,t)=>e!==t?1:0),Mj=tn(Ql,aC,null,"bool"),Pj={kernelName:Ql,backendName:"cpu",kernelFunc:Mj};function C0(e,t,n,a,r){let s=t.length,i=v.sizeFromShape(t),o=v.computeStrides(t),l=v.computeStrides(r),u=v.getTypedArrayFromDType(n,v.sizeFromShape(r));for(let p=0;pn.disposeIntermediateTensorInfo(y)),n.makeTensorInfo(b,g,m)}var zj={kernelName:Ki,backendName:"cpu",kernelFunc:Lj};function Bj(e,t,n){e.forEach((a,r)=>{if(a<0||a>=n){let s=v.indexToLoc(r,t.length,v.computeStrides(t)).join(",");throw new Error(`indices[${s}] = ${a} is not in [0, ${n})`)}})}function Wj(e,t){for(let n=0;nr)throw new Error("Ragged splits must not point past values");for(let s=1;sa[s])throw new Error("Ragged splits must be sorted in ascending order")}}function Vj(e,t,n,a){let r=[],s=0,i=t.length-1+n.length,o=new Array(i).fill(null).map(()=>[0]);Wj(n,a);let l=1;for(let u=0;u=0){let f=o[m],g=f[f.length-1]-h[p];for(let b=p;br[i]=s)}return t}function Rk(e,t){let n=e.slice(0,t);for(;n.lengthn&&(n=r)}return n}static getMaxWidthValueRowID(e){let t=e.length;if(t===0)return 0;let n=0,a=e[0],r=0;for(let s=1;s"Final length of result must be equal to firstDimension."),r}calculateOutputIndexRowSplit(e,t,n,a){let r=e.length,s=[];for(let i=0;i0&&s.length!==e[r-1])throw new Error("Invalid row split size.");return s}calculateOutputIndexValueRowID(e,t,n,a){let r=e.length,s=[];if(r===0)return[];let i=0,o=e[0];if(o>=t.length)throw new Error(`Got currentValueRowId=${o}, which is not less than ${t.length}`);let l=t[o];s.push(l);for(let u=1;u=0&&(++i,i=t.length)throw new Error(`Got nextValueRowId=${p} which is not less than ${t.length}`);l=t[p]}s.push(l)}if(s.length!==e.length)throw new Error("Invalid row ids.");return s}calculateOutputIndex(e,t,n,a){let r=this.getRowPartitionTensor(e),s=this.getRowPartitionTypeByDimension(e);switch(s){case ka.VALUE_ROWIDS:return this.calculateOutputIndexValueRowID(r,t,n,a);case ka.ROW_SPLITS:if(r.length-1>t.length)throw new Error(`Row partition size is greater than output size: ${r.length-1} > ${t.length}`);return this.calculateOutputIndexRowSplit(r,t,n,a);default:throw new Error(`Unsupported partition type: ${ka[s]}`)}}getFirstDimensionSize(){let e=this.rowPartitionValues[0];if(this.rowPartitionTypes.length===0)throw new Error("No row_partition_types given.");let t=this.rowPartitionTypes[0];switch(t){case ka.FIRST_DIM_SIZE:return e[0];case ka.VALUE_ROWIDS:throw new Error("Cannot handle VALUE_ROWIDS in first dimension.");case ka.ROW_SPLITS:return this.rowPartitionValuesShapes[0][0]-1;default:throw new Error(`Cannot handle type ${ka[t]}`)}}compute(){if(this.rowPartitionValues[0].length<=0)throw new Error("Invalid first partition input. Tensor requires at least one element.");let e=this.getFirstDimensionSize(),t=this.calculateOutputSize(e),n=new Array(this.raggedRank+1);n[n.length-1]=1;for(let s=n.length-2;s>=0;--s)n[s]=n[s+1]*t[s+1];let a=Pk(t,!1),r=v.getArrayFromDType(this.valuesDType,v.sizeFromShape(a));if(n[0]*t[0]>0){let s=this.calculateFirstParentOutputIndex(e,n[0],t[0]);for(let i=1;i<=this.raggedRank;++i)s=this.calculateOutputIndex(i-1,s,n[i],t[i]);this.setOutput(this.raggedRank,s,r,a)}return[a,r]}setOutput(e,t,n,a){if(n.length===0)return;let r=this.values,s=n,i=a.slice();i=i.slice(e+1);let o=v.sizeFromShape(i),l=t.length,u=this.defaultValue;if(u.length!==o&&u.length!==1){let h=this.defaultValueShape;P(()=>{let m=B(u,h);u=Ks(m,i).dataSync()})}let p=0,d=0,c=0;for(let h=0;h<=l;++h){let m=h=l){let f=n.length;m=Math.floor(f/o)}if(m>c)if(this.defaultValue.length===1)s.subarray(c*o,m*o).fill(this.defaultValue[0]),c=m;else for(;m>c;){let f=s.slice(c*o);Mk(f,u,o),++c}m<0?(p=h+1,d=c):(p=h,d=c,c=d+1)}}};function Mk(e,t,n){for(let a=0;a= 0`);if(a<-1)throw new Error(`Dimension ${a} must be >= -1`);a=-1}n.push(a)}return n}function iC(e,t,n,a,r,s,i,o,l,u){return new tx(e,t,n,a,r,s,i,o,l,u).compute()}function _0(e,t,n,a){let r=e===t,s=e1;if(r||s||i)return v.makeZerosTypedArray(0,a);let o=Math.abs(Math.ceil((t-e)/n)),l=v.makeZerosTypedArray(o,a);t1/Math.sqrt(e)),jj=Ru(to,oC),qj={kernelName:to,backendName:"cpu",kernelFunc:jj};function Xo(e,t,n,a,r,s,i,o,l,u){let p=[a/r,r],d=e.values,c=t.values;if(a===0)return Pe(n,t.dtype);let h=Pe(p,t.dtype);typeof l=="string"||typeof l=="number"?h.values.fill(l):typeof l=="boolean"&&h.values.fill(+l);for(let m=0;m=a/r)throw new Error(`Invalid indices: ${f} does not index into ${n}`);for(let b=0;b1/(1+Math.exp(-e))),lC=rt(ao,e=>1/(1+Math.exp(-e))),Xj={kernelName:ao,backendName:"cpu",kernelFunc:lC};function Ph(e,t,n,a,r){let s=jt.isSliceContinous(a,t,n),i=v.sizeFromShape(n),o=v.computeStrides(a);if(s){let d=jt.computeFlatOffset(t,o);return r==="string"?e.slice(d,d+i):e.subarray(d,d+i)}let l=r==="string"?N.fromUint8ToStringArray(e):e,u=Pe(a,r,l),p=Pe(n,r);for(let d=0;dm+t[f]);p.set(u.get(...h),...c)}return r==="string"?N.fromStringArrayToUint8(p.values):p.values}function ui(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{begin:s,size:i}=a;ge(r,"slice");let[o,l]=jt.parseSliceParams(r,s,i);jt.assertParamsValid(r,o,l);let u=n.data.get(r.dataId).values,p=Ph(u,o,l,r.shape,r.dtype);return n.makeTensorInfo(l,r.dtype,p)}var Yj={kernelName:pu,backendName:"cpu",kernelFunc:ui};function uC(e,t,n,a,r,s,i){let o=t[0],l=s[0],u=new Array(l),p=new Array(o),d=t[1];if(l===0){if(o!==0)throw new Error(N.getSparseFillEmptyRowsIndicesDenseShapeMismatch(o));let g=v.getArrayFromDType(n,0),b=v.getArrayFromDType(r,0);return[g,[0,d],b,u,p]}let c=!0,h=0,m=new Array(l).fill(0);for(let g=0;g=l)throw new Error(N.getSparseFillEmptyRowsOutOfRangeIndexErrorMessage(g,b,l));++m[b],c=c&&b>=h,h=b}let f=!0;for(let g=0;g0&&(m[g]+=m[g-1])}if(f&&c){let g=e,b=a;for(let y=0;y0){c[d-1]=1;for(let f=d-2;f>=0;--f)c[f]=c[f+1]*a[f+1]}let h=[];if(o>0){h[o-1]=1;for(let f=o-2;f>=0;--f)h[f]=h[f+1]*l[f+1]}let m=v.getArrayFromDType(n,i*o);for(let f=0;f0?r[o-1]+1:0;if(p<0)throw new Error(N.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let d=t.slice();d[0]=p;let c=d.reduce((y,x)=>y*x,1),h=v.getArrayFromDType(n,c);if(o===0)return p>0&&h.fill(i),[h,d];if(p<=0)throw new Error(N.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let m=0,f=1,g=0,b=r[m];for(;;){let y=0;if(f=y)throw new Error(N.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage())}if(b<0||b>=p)throw new Error(N.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(b,p));b>g&&h.fill(i,g*u,b*u);for(let x=m;x=l[0])throw new Error(N.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(x,a[x],l[0]));for(let I=0;Io)break}return gMath.sqrt(e)),Jj=rt(ro,e=>Math.sqrt(e)),Qj={kernelName:ro,backendName:"cpu",kernelFunc:Jj},cC=Vt((e,t)=>{let n=e-t;return n*n}),eq=tn(oo,cC),tq={kernelName:oo,backendName:"cpu",kernelFunc:eq};function dC(e,t,n,a){let r=Pe(e,t.dtype);for(let s=0;s0?0:i-o),c=0;c+=l*this.leftPad.length;for(let g=0;gg.forEach(b=>h[m++]=b);for(let g=0;g0){f(e[d+p-1]);for(let g=0;g0){let o=t[0];if(o!==0)throw new Error(`First split value must be 0, got ${o}`);for(let l=1;l=o;if(u=u&&t[l]<=n,!u)throw new Error(`Invalid split value ${t[l]}, must be in [${o}, ${n}]`);o=t[l]}if(o!==n)throw new Error(`Last split value must be data size. Expected ${n}, got ${o}`)}let r=a-1,s=v.getArrayFromDType("int32",a);if(n===0||a===0){let o=new Array(n);for(let l=0;l<=r;++l)s[l]=0;return[o,s]}s[0]=0;for(let o=1;o<=r;++o){let l=t[o]-t[o-1],u=0;this.nGramWidths.forEach(p=>{u+=this.getNumNGrams(l,p)}),this.preserveShort&&l>0&&u===0&&(u=1),s[o]=s[o-1]+u}let i=new Array(s[r]);for(let o=0;o{let d=t[o+1]-t[o],c=this.getNumNGrams(d,p);this.createNGrams(e,l,i,u,c,p),u+=c}),this.preserveShort&&u===s[o]){let p=t[o+1]-t[o];if(p===0)continue;let d=p+2*this.padWidth,c=1;this.createNGrams(e,l,i,u,c,d)}}return[i,s]}};function A0(e,t,n,a,r,s,i,o){return new nq(n,a,r,s,i,o).compute(e,t)}function aq(e,t,n,a){if(!e.length)return;if(t.length===0){for(let s=0;se-t),rq=I0((e,t,n,a)=>({real:e-n,imag:t-a})),D0=tn(lo,hC,rq),sq={kernelName:lo,backendName:"cpu",kernelFunc:D0};function mC(e,t){let n=new Array(e.rank);for(let r=0;r{let n=t.value-e.value;return n===0?e.index-t.index:n};function fC(e,t,n=0,a=e.length-1){for(;a>n;){if(a-n>600){let o=a-n+1,l=t-n+1,u=Math.log(o),p=.5*Math.exp(2*u/3),d=.5*Math.sqrt(u*p*(o-p)/o)*Math.sign(l-o/2),c=Math.max(n,Math.floor(t-l*p/o+d)),h=Math.min(a,Math.floor(t+(o-l)*p/o+d));fC(e,t,c,h)}let r=e[t],s=n,i=a;for(v.swap(e,n,t),Ep(e[a],r)>0&&v.swap(e,n,a);s0;)i=i-1}Ep(e[n],r)===0?v.swap(e,n,i):(i=i+1,v.swap(e,i,a)),i<=t&&(n=i+1),t<=i&&(a=i-1)}}function gC(e,t,n,a,r){let s=t[t.length-1],[i,o]=[e.length/s,s],l=v.getTypedArrayFromDType(n,i*a),u=v.getTypedArrayFromDType("int32",i*a);for(let d=0;dm[x]={value:y,index:x}),a{for(let g=0;gnew k0,1);var yC=rt(Ci,e=>e>=0?e:Math.exp(e)-1),iq={kernelName:Ci,backendName:"cpu",kernelFunc:yC};function xC(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{alpha:s}=a;ge([r],"leakyRelu");let i=v.sizeFromShape(r.shape),o=n.data.get(r.dataId).values,l=v.getTypedArrayFromDType("float32",i);for(let u=0;ue<0?t*e:e);function vC(e){let{inputs:t,backend:n}=e,{x:a,alpha:r}=t;ge([a,r],"prelu");let s=n.data.get(a.dataId).values,i=n.data.get(r.dataId).values,[o,l]=lq(a.shape,r.shape,s,i,"float32");return n.makeTensorInfo(l,"float32",o)}var uq={kernelName:qi,backendName:"cpu",kernelFunc:vC},wC=rt(Xi,e=>Math.max(0,e)),pq={kernelName:Xi,backendName:"cpu",kernelFunc:wC},kC=rt(Ji,e=>Math.min(Math.max(0,e),6)),cq={kernelName:Ji,backendName:"cpu",kernelFunc:kC};function Oh(e,t,n,a,r){if(n==="linear")return or({inputs:{x:t},backend:e});if(n==="relu")return wC({inputs:{x:t},backend:e});if(n==="elu")return yC({inputs:{x:t},backend:e});if(n==="relu6")return kC({inputs:{x:t},backend:e});if(n==="prelu")return vC({inputs:{x:t,alpha:a},backend:e});if(n==="leakyrelu")return xC({inputs:{x:t},backend:e,attrs:{alpha:r}});if(n==="sigmoid")return lC({inputs:{x:t},backend:e});throw new Error(`Activation ${n} has not been implemented for the CPU backend.`)}function ft(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{shape:s}=a,i=v.sizeFromShape(r.shape),o=v.inferFromImplicitShape(s,i),l=v.sizeFromShape(o);v.assert(i===l,()=>`The new shape (${o}) has ${l} elements and the old shape (${r.shape}) has ${i} elements. The new shape and old shape must have the same number of elements.`),n.incRef(r.dataId);let u=n.data.get(r.dataId);if(u.complexTensorInfos!=null){let p=u.complexTensorInfos.real,d=u.complexTensorInfos.imag;p.shape=o,d.shape=o}return{dataId:r.dataId,shape:o,dtype:r.dtype}}var dq={kernelName:iu,backendName:"cpu",kernelFunc:ft};function IC(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s}=t,{transposeA:i,transposeB:o}=a;ge([r,s],"matMul");let l=r.shape.length,u=s.shape.length,p=i?r.shape[l-2]:r.shape[l-1],d=o?s.shape[u-1]:s.shape[u-2],c=i?r.shape[l-1]:r.shape[l-2],h=o?s.shape[u-2]:s.shape[u-1],m=r.shape.slice(0,-2),f=s.shape.slice(0,-2),g=v.sizeFromShape(m),b=v.sizeFromShape(f),y=Iu.assertAndGetBroadcastShape(r.shape.slice(0,-2),s.shape.slice(0,-2)).concat([c,h]);v.assert(p===d,()=>`Error in matMul: inner shapes (${p}) and (${d}) of Tensors with shapes ${r.shape} and ${s.shape} and transposeA=${i} and transposeB=${o} must match.`);let x=i?[g,p,c]:[g,c,p],w=o?[b,h,d]:[b,d,h],I=ft({inputs:{x:r},backend:n,attrs:{shape:x}}),T=ft({inputs:{x:s},backend:n,attrs:{shape:w}}),C=i?I.shape[1]:I.shape[2],E=i?I.shape[2]:I.shape[1],A=o?T.shape[1]:T.shape[2],R=Math.max(g,b),F=n.data.get(I.dataId).values,S=n.data.get(T.dataId).values,M=v.computeStrides(I.shape),W=v.computeStrides(T.shape),[U,G,q]=i?[M[0],1,M[1]]:[M[0],M[1],1],[K,Z,Q]=o?[1,W[1],W[0]]:[W[1],1,W[0]],ee=E*A,ae=Pe([R,E,A],I.dtype),te=ae.values,le=n.blockSize;for(let ie=0;ieMath.acos(e)),bq={kernelName:vl,backendName:"cpu",kernelFunc:gq},yq=rt(wl,e=>Math.acosh(e)),xq={kernelName:wl,backendName:"cpu",kernelFunc:yq};function vq(e){let{inputs:t,backend:n}=e,a=t;ge(t,"addN");let r=a.map(o=>n.data.get(o.dataId).values),s=Pe(a[0].shape,a[0].dtype),i=s.values;for(let o=0;oy&&(y=I,x=w)}h[g]=x}return u.forEach(g=>n.disposeIntermediateTensorInfo(g)),n.makeTensorInfo(p,"int32",h)}var Cq={kernelName:fi,backendName:"cpu",kernelFunc:Nq};function _q(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s}=a;ge(r,"argMin");let i=v.parseAxisParam(s,r.shape),o=N.getAxesPermutation(i,r.shape.length),l=r,u=[];o!=null&&(l=Wn({inputs:{x:r},backend:n,attrs:{perm:o}}),u.push(l),i=N.getInnerMostAxes(i.length,l.shape.length)),i=[i[0]],N.assertAxesAreInnerMostDims("argMin",i,l.shape.length);let[p,d]=N.computeOutAndReduceShapes(l.shape,i),c=v.sizeFromShape(p),h=v.makeZerosTypedArray(c,"int32"),m=v.sizeFromShape(d),f=n.data.get(l.dataId).values;for(let g=0;gn.disposeIntermediateTensorInfo(g)),n.makeTensorInfo(p,"int32",h)}var Eq={kernelName:ac,backendName:"cpu",kernelFunc:_q},Aq=rt(Sl,e=>Math.asin(e)),$q={kernelName:Sl,backendName:"cpu",kernelFunc:Aq},Fq=rt(Tl,e=>Math.asinh(e)),Dq={kernelName:Tl,backendName:"cpu",kernelFunc:Fq},Rq=rt(Nl,e=>Math.atan(e)),Mq={kernelName:Nl,backendName:"cpu",kernelFunc:Rq},Pq=Vt((e,t)=>Math.atan2(e,t)),Oq=tn(_l,Pq),Lq={kernelName:_l,backendName:"cpu",kernelFunc:Oq},zq=rt(Cl,e=>Math.atanh(e)),Bq={kernelName:Cl,backendName:"cpu",kernelFunc:zq};function R0(e,t,n,a,r,s){let i=r.strideHeight,o=r.strideWidth,l=r.dilationHeight,u=r.dilationWidth,p=r.effectiveFilterHeight,d=r.effectiveFilterWidth,c=r.padInfo.top,h=r.padInfo.left,m=s==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,f=Pe(r.outShape,n),g=f.values,b=r.outShape[1]*r.outShape[2]*r.outShape[3],y=r.outShape[2]*r.outShape[3],x=r.outShape[3];for(let w=0;wq?q=ie:s==="avg"&&(K+=ie,Z++)}if(isNaN(q))break}let Q=S+M*x+C;g[Q]=s==="avg"?K/Z:q}}}return f}function SC(e,t,n,a,r=!1,s=!1){let i=Pe(a.outShape,"int32"),o=a.strideHeight,l=a.strideWidth,u=a.dilationHeight,p=a.dilationWidth,d=a.effectiveFilterHeight,c=a.effectiveFilterWidth,h=a.padInfo.top,m=a.padInfo.left,f=Pe(t,n,e);for(let g=0;gR&&(R=G,r?F=s?((g*a.inHeight+S)*a.inWidth+W)*a.inChannels+b:(S*a.inWidth+W)*a.inChannels+b:F=M*c+U)}}i.set(F,g,y,T,b)}}return i}function TC(e,t,n,a,r,s){let i=r.strideDepth,o=r.strideHeight,l=r.strideWidth,u=r.dilationDepth,p=r.dilationHeight,d=r.dilationWidth,c=r.effectiveFilterDepth,h=r.effectiveFilterHeight,m=r.effectiveFilterWidth,f=r.padInfo.front,g=r.padInfo.top,b=r.padInfo.left,y=s==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,x=Pe(r.outShape,n),w=x.values,I=r.outShape[1]*r.outShape[2]*r.outShape[3]*r.outShape[4],T=r.outShape[2]*r.outShape[3]*r.outShape[4],C=r.outShape[3]*r.outShape[4],E=r.outShape[4];for(let A=0;Axe?xe=dt:s==="avg"&&(Ie+=dt,Se++),isNaN(xe))break}if(isNaN(xe))break}if(isNaN(xe))break}let Le=ue+S;w[Le]=s==="avg"?Ie/Se:xe}}}}return x}function Wq(e,t){let n=Pe(t.outShape,"int32"),a=t.strideDepth,r=t.strideHeight,s=t.strideWidth,i=t.dilationDepth,o=t.dilationHeight,l=t.dilationWidth,u=t.effectiveFilterDepth,p=t.effectiveFilterHeight,d=t.effectiveFilterWidth,c=t.padInfo.front,h=t.padInfo.top,m=t.padInfo.left;for(let f=0;f=M&&(M=ee,W=G*p*d+K*p+Q)}}}n.set(W,f,b,I,A,g)}}}return n}function Vq(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t;ge(r,"avgPool");let{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=a,u=1;v.assert(N.eitherStridesOrDilationsAreOne(i,u),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${u}'`);let p=N.computePool2DInfo(r.shape,s,i,u,o,l),d;if(p.filterWidth===1&&p.filterHeight===1&&v.arraysEqual(p.inShape,p.outShape))d=or({inputs:{x:r},backend:n});else{let c=n.data.get(r.dataId).values,h=v.computeStrides(r.shape),m=R0(c,r.shape,r.dtype,h,p,"avg");d=n.makeTensorInfo(p.outShape,r.dtype,m.values)}return d}var Uq={kernelName:gi,backendName:"cpu",kernelFunc:Vq};function Gq(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l,dataFormat:u}=a;ge(r,"avgPool3d");let p=N.computePool3DInfo(r.shape,s,i,1,o,l,u),d=n.data.get(r.dataId).values,c=TC(d,r.shape,r.dtype,v.computeStrides(r.shape),p,"avg");return n.makeTensorInfo(c.shape,"float32",c.values)}var Hq={kernelName:rc,backendName:"cpu",kernelFunc:Gq};function jq(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,{filterSize:i,strides:o,pad:l,dimRoundingMode:u}=a;ge([r,s],"avgPool3DGrad");let p=N.computePool3DInfo(s.shape,i,o,1,l,u),d=p.strideDepth,c=p.strideHeight,h=p.strideWidth,m=p.filterDepth,f=p.filterHeight,g=p.filterWidth,b=p.dilationDepth,y=p.dilationHeight,x=p.dilationWidth,w=p.effectiveFilterDepth,I=p.effectiveFilterHeight,T=p.effectiveFilterWidth,C=w-1-p.padInfo.front,E=T-1-p.padInfo.left,A=I-1-p.padInfo.top,R=Pe(s.shape,"float32"),F=1/(m*f*g),S=n.bufferSync(r);for(let M=0;M=p.outDepth||Math.floor(te)!==te))for(let le=0;le=p.outHeight||Math.floor(ie)!==ie))for(let be=0;be=p.outWidth||Math.floor(ue)!==ue||(ee+=S.get(M,te,ie,ue,W))}}}R.set(ee*F,M,U,G,q,W)}return n.makeTensorInfo(R.shape,R.dtype,R.values)}var qq={kernelName:Xh,backendName:"cpu",kernelFunc:jq};function Kq(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,i=s;ge([r,s],"avgPoolGrad");let{filterSize:o,strides:l,pad:u}=a,p=N.computePool2DInfo(i.shape,o,l,1,u),d=p.strideHeight,c=p.strideWidth,h=p.filterHeight,m=p.filterWidth,f=p.dilationHeight,g=p.dilationWidth,b=p.effectiveFilterHeight,y=p.effectiveFilterWidth,x=y-1-p.padInfo.left,w=b-1-p.padInfo.top,I=Pe(i.shape,"float32"),T=1/(h*m),C=n.data.get(r.dataId).values,E=Pe(r.shape,"float32",C);for(let A=0;A=p.outHeight||Math.floor(q)!==q))for(let K=0;K=p.outWidth||Math.floor(Z)!==Z||(U+=E.get(A,q,Z,R))}}I.set(U*T,A,F,S,R)}return n.makeTensorInfo(I.shape,I.dtype,I.values)}var Xq={kernelName:Kh,backendName:"cpu",kernelFunc:Kq};function Yq(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,scale:s,offset:i,mean:o,variance:l}=t;v.assert(o.shape.length===l.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),v.assert(i==null||o.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),v.assert(s==null||o.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks."),ge([r,o,l,s,i],"batchNorm");let{varianceEpsilon:u}=a;u==null&&(u=.001);let p=n.data.get(r.dataId).values,d=n.data.get(o.dataId).values,c=n.data.get(l.dataId).values,h=s?n.data.get(s.dataId).values:new Float32Array([1]),m=i?n.data.get(i.dataId).values:new Float32Array([0]),f=new Float32Array(p.length),g=m.length,b=h.length,y=c.length,x=d.length,w=0,I=0,T=0,C=0;for(let E=0;E=g&&(w=0),I>=x&&(I=0),T>=b&&(T=0),C>=y&&(C=0);return n.makeTensorInfo(r.shape,r.dtype,f)}var Zq={kernelName:$i,backendName:"cpu",kernelFunc:Yq};function Jq(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockShape:s,crops:i}=a;ge([r],"batchToSpaceND");let o=s.reduce((b,y)=>b*y),l=N.getReshaped(r.shape,s,o),u=N.getPermuted(l.length,s.length),p=N.getReshapedPermuted(r.shape,s,o),d=N.getSliceBeginCoords(i,s.length),c=N.getSliceSize(p,i,s.length),h=ft({inputs:{x:r},backend:n,attrs:{shape:l}}),m=Wn({inputs:{x:h},backend:n,attrs:{perm:u}}),f=ft({inputs:{x:m},backend:n,attrs:{shape:p}}),g=ui({inputs:{x:f},backend:n,attrs:{begin:d,size:c}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(f),g}var Qq={kernelName:El,backendName:"cpu",kernelFunc:Jq};function e5(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,weights:s}=t,{size:i}=a,o=n.data.get(r.dataId).values,l=n.data.get(s.dataId).values,u=S0(o,l,s.dtype,s.shape,i);return n.makeTensorInfo([i],s.dtype,u)}var t5={kernelName:Yh,backendName:"cpu",kernelFunc:e5};function n5(e){let{inputs:t,backend:n}=e,{s0:a,s1:r}=t,s=n.data.get(a.dataId).values,i=n.data.get(r.dataId).values,o=N.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return n.makeTensorInfo([o.length],"int32",Int32Array.from(o))}var a5={kernelName:Zh,backendName:"cpu",kernelFunc:n5},r5=rt(cs,(e,t)=>{let n=t;return e>n.clipValueMax?n.clipValueMax:e{let{x:t}=e.inputs,n=e.backend,a=new Float32Array(v.sizeFromShape(t.shape)),r=n.data.get(t.dataId),s=r.complexTensorInfos.real,i=r.complexTensorInfos.imag,o=n.data.get(s.dataId).values,l=n.data.get(i.dataId).values;for(let u=0;uf.shape);N.assertParamsConsistent(i,s);let o=N.computeOutShape(t.map(f=>f.shape),s);if(v.sizeFromShape(o)===0)return n.makeTensorInfo(o,t[0].dtype,[]);let l=t.filter(f=>v.sizeFromShape(f.shape)>0);if(l.length===1)return or({inputs:{x:l[0]},backend:n});if(l[0].dtype==="complex64"){let f=l.map(w=>li({inputs:{input:w},backend:n})),g=l.map(w=>fl({inputs:{input:w},backend:n})),b=gl({inputs:f,backend:n,attrs:{axis:s}}),y=gl({inputs:g,backend:n,attrs:{axis:s}}),x=Xn({inputs:{real:b,imag:y},backend:n});return f.forEach(w=>n.disposeIntermediateTensorInfo(w)),g.forEach(w=>n.disposeIntermediateTensorInfo(w)),n.disposeIntermediateTensorInfo(b),n.disposeIntermediateTensorInfo(y),x}let u=l.map(f=>{let g=v.sizeFromShape(f.shape.slice(s));return ft({inputs:{x:f},backend:n,attrs:{shape:[-1,g]}})}),p=u.map(f=>({vals:n.data.get(f.dataId).values,shape:f.shape}));o=N.computeOutShape(u.map(f=>f.shape),1);let d=u[0].shape[0]===1,c=T0(p,o,t[0].dtype,d),h=N.computeOutShape(l.map(f=>f.shape),s),m=n.makeTensorInfo(h,t[0].dtype,c);return u.forEach(f=>n.disposeIntermediateTensorInfo(f)),m}var u5={kernelName:Al,backendName:"cpu",kernelFunc:gl};function NC(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dataFormat:l,dilations:u,dimRoundingMode:p}=a;ge([r,s],"conv2d");let d=N.convertConv2DDataFormat(l),c=N.computeConv2DInfo(r.shape,s.shape,i,u,o,p,!1,d),h=c.filterHeight,m=c.filterWidth,f=c.dilationHeight,g=c.dilationWidth,b=c.padInfo.left,y=c.padInfo.top,x=c.dataFormat==="channelsLast",w=new Ht(c.outShape,r.dtype),I=v.computeStrides(r.shape),T=v.computeStrides(s.shape),C=I[0],E=x?I[1]:I[2],A=x?I[2]:1,R=x?1:I[1],F=w.strides[0],S=x?w.strides[1]:w.strides[2],M=x?w.strides[2]:1,W=x?1:w.strides[1],U=n.data.get(r.dataId).values,G=n.data.get(s.dataId).values,q=w.values;for(let K=0;K=c.inHeight)continue;let be=le*T[0],ue=Z+ie*E;for(let xe=0;xe=c.inWidth)continue;let tt=be+Le*T[1],st=ue+Ve*A,Je=tt;for(let nt=0;nt=u.inDepth)continue;let K=G*A[0],Z=F+q*E[1];for(let Q=0;Q=u.inHeight)continue;let ie=K+te*A[1],be=Z+le*E[2];for(let ue=0;ue=u.inWidth)continue;let Ve=ie+Se*A[2],tt=be+Le*u.inChannels,st=Ve;for(let Je=0;JeMath.cos(e)),k5={kernelName:ki,backendName:"cpu",kernelFunc:w5},I5=rt(Ii,e=>Math.cosh(e)),S5={kernelName:Ii,backendName:"cpu",kernelFunc:I5};function T5(e){let{inputs:t,backend:n,attrs:a}=e,{image:r,boxes:s,boxInd:i}=t,{cropSize:o,method:l,extrapolationValue:u}=a,[p,d,c,h]=r.shape,m=s.shape[0],[f,g]=o,b=Pe([m,f,g,h],"float32"),y=n.data.get(s.dataId).values,x=n.data.get(i.dataId).values,w=n.data.get(r.dataId).values,I=v.computeStrides(r.shape),T=v.computeStrides(b.shape);for(let C=0;C=p)continue;let W=f>1?(F-A)*(d-1)/(f-1):0,U=g>1?(S-R)*(c-1)/(g-1):0;for(let G=0;G1?A*(d-1)+G*W:.5*(A+F)*(d-1);if(q<0||q>d-1){for(let K=0;K1?R*(c-1)+ee*U:.5*(R+S)*(c-1);if(ae<0||ae>c-1){for(let be=0;be1?R*(c-1)+K*U:.5*(R+S)*(c-1);if(Z<0||Z>c-1){for(let ae=0;aeb+m-y-1:(b,y)=>b+y;for(let b=0;bb+m-y-1:(b,y)=>b+y;for(let b=0;b`Only NHWC dataFormat supported on CPU for depthToSpace. Got ${i}`);let o=r.shape[0],l=r.shape[1],u=r.shape[2],p=r.shape[3],d=l*s,c=u*s,h=p/(s*s),m=n.data.get(r.dataId).values,f=new Float32Array(o*d*c*h),g=0;for(let b=0;b`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${c}'`);let h=N.computeConv2DInfo(r.shape,s.shape,i,c,o,u,!0),{filterHeight:m,filterWidth:f,dilationHeight:g,dilationWidth:b,padInfo:y}=h,x=y.left,w=y.top,I=h.outChannels/h.inChannels,T=new Ht(h.outShape,r.dtype),C=n.data.get(r.dataId).values,E=n.data.get(s.dataId).values,A=T.values;for(let R=0;R=h.inHeight)continue;let K=G*d[0],Z=F+q*p[1];for(let Q=0;Q=h.inWidth)continue;let ie=K+te*d[1],be=Z+le*h.inChannels,ue=ee,xe=ie;for(let Ie=0;Ie{let{x:a,filter:r}=e,{strides:s,pad:i,dilations:o}=n,l=t,u=l.data.get(a.dataId).values,p=a.shape.length,d=l.data.get(r.dataId).values,c=r.shape.length,{batchSize:h,inHeight:m,inWidth:f,inChannels:g,outHeight:b,outWidth:y,padInfo:x,strideHeight:w,strideWidth:I,filterHeight:T,filterWidth:C,dilationHeight:E,dilationWidth:A,outShape:R}=N.computeDilation2DInfo(a.shape,r.shape,s,i,"NHWC",o),F=v.sizeFromShape(R),S=R.length,M=v.getArrayFromDType(a.dtype,F);for(let W=0;W=0&&te=0&&ieQ&&(Q=xe)}}}let ee=v.locToIndex([W,U,q,Z],S,v.computeStrides(R));M[ee]=Q}}}return{dataId:l.write(v.toTypedArray(M,a.dtype),R,a.dtype),shape:R,dtype:a.dtype}}},U5={kernelName:gh,backendName:"cpu",kernelFunc:({inputs:e,backend:t,attrs:n})=>{let{x:a,filter:r,dy:s}=e,{strides:i,pad:o,dilations:l}=n,u=t,p=v.toNestedArray(a.shape,u.data.get(a.dataId).values),d=v.toNestedArray(r.shape,u.data.get(r.dataId).values),{batchSize:c,inHeight:h,inWidth:m,inChannels:f,outHeight:g,outWidth:b,padInfo:y,strideHeight:x,strideWidth:w,filterHeight:I,filterWidth:T,dilationHeight:C,dilationWidth:E,outShape:A}=N.computeDilation2DInfo(a.shape,r.shape,i,o,"NHWC",l);v.assert(s.rank===A.length,()=>`Error in ${gh}, dy must have the same rank as output ${A.length}, but got ${s.rank}`);let R=v.toNestedArray(A,u.data.get(s.dataId).values),F=v.makeZerosNestedTypedArray(r.shape,r.dtype);for(let S=0;S=0&&ae=0&&leK&&(K=ie,Z=ee,Q=te)}}}F[Z][Q][q]+=R[S][M][U][q]}}}return{dataId:u.write(v.toTypedArray(F,a.dtype),r.shape,r.dtype),shape:r.shape,dtype:r.dtype}}},G5={kernelName:fh,backendName:"cpu",kernelFunc:({inputs:e,backend:t,attrs:n})=>{let{x:a,filter:r,dy:s}=e,{strides:i,pad:o,dilations:l}=n,u=t,p=v.toNestedArray(a.shape,u.data.get(a.dataId).values),d=v.toNestedArray(r.shape,u.data.get(r.dataId).values),{batchSize:c,inHeight:h,inWidth:m,inChannels:f,outHeight:g,outWidth:b,padInfo:y,strideHeight:x,strideWidth:w,filterHeight:I,filterWidth:T,dilationHeight:C,dilationWidth:E,outShape:A}=N.computeDilation2DInfo(a.shape,r.shape,i,o,"NHWC",l);v.assert(s.rank===A.length,()=>`Error in ${fh}, dy must have the same rank as output ${A.length}, but got ${s.rank}`);let R=v.toNestedArray(A,u.data.get(s.dataId).values),F=v.makeZerosNestedTypedArray(a.shape,a.dtype);for(let S=0;S=0&&ae=0&&leK&&(K=ie,Z=ae,Q=le)}}}F[S][Z][Q][q]+=R[S][M][U][q]}}}return{dataId:u.write(v.toTypedArray(F,a.dtype),a.shape,a.dtype),shape:a.shape,dtype:a.dtype}}};function Jc(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a;ge(r,"sum");let o;r.dtype==="bool"?o=is({inputs:{x:r},backend:n,attrs:{dtype:"int32"}}):o=or({inputs:{x:r},backend:n});let l=o.shape.length,u=v.parseAxisParam(s,o.shape),p=N.getAxesPermutation(u,l),d=u,c=o;p!=null&&(c=Wn({inputs:{x:o},backend:n,attrs:{perm:p}}),d=N.getInnerMostAxes(d.length,l)),N.assertAxesAreInnerMostDims("sum",d,c.shape.length);let[h,m]=N.computeOutAndReduceShapes(c.shape,d),f=N.upcastType(c.dtype,"int32"),g=Mh(n,h,f),b=v.sizeFromShape(m),y=n.data.get(g.dataId).values,x=n.data.get(c.dataId).values;for(let w=0;w=0&&(c=Jc({inputs:{x:c},backend:n,attrs:{axis:u[f]-(i.length-h),keepDims:!1}}),m.push(c)),h--)}for(let f of m)f!==c&&n.disposeIntermediateTensorInfo(f);return c}var q5={kernelName:im,backendName:"cpu",kernelFunc:j5};function K5(e){let{inputs:t,backend:n}=e,{dy:a,y:r}=t;ge([a,r],"eluGrad");let s=new Float32Array(v.sizeFromShape(r.shape)),i=n.data.get(r.dataId).values,o=n.data.get(a.dataId).values;for(let l=0;l=1?s[l]=o[l]:s[l]=o[l]*(u+1)}return n.makeTensorInfo(r.shape,"float32",s)}var X5={kernelName:om,backendName:"cpu",kernelFunc:K5},Y5=N.ERF_P,Z5=N.ERF_A1,J5=N.ERF_A2,Q5=N.ERF_A3,e8=N.ERF_A4,t8=N.ERF_A5,n8=rt(Rl,e=>{let t=Math.sign(e),n=Math.abs(e),a=1/(1+Y5*n);return t*(1-((((t8*a+e8)*a+Q5)*a+J5)*a+Z5)*a*Math.exp(-n*n))}),a8={kernelName:Rl,backendName:"cpu",kernelFunc:n8};function Lh(e){let{inputs:t,backend:n,attrs:a}=e,{input:r}=t,{dim:s}=a,i=r.shape.length,o=r.shape.slice(),l=s;return s<0&&(v.assert(-(i+1)<=s,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),l=i+s+1),o.splice(l,0,1),ft({inputs:{x:r},backend:n,attrs:{shape:o}})}var r8={kernelName:Pl,backendName:"cpu",kernelFunc:Lh},s8=Vt((e,t)=>e/t),M0=tn(Ni,s8),nx={kernelName:Ni,backendName:"cpu",kernelFunc:M0};function _C(e,t,n){let a=e.shape,r=a[0],s=a[1],i=n.data.get(e.dataId),o=i.complexTensorInfos.real,l=i.complexTensorInfos.imag,u=[r,s],p=v.sizeFromShape(u),d=v.getTypedArrayFromDType("float32",p),c=v.getTypedArrayFromDType("float32",p);for(let g=0;g{let{image:a}=e,r=n,s=v.getTypedArrayFromDType(a.dtype,v.sizeFromShape(a.shape)),[i,o,l,u]=a.shape,p=r.data.get(a.dataId).values;for(let d=0;d=0&&yMath.floor(e/t)),f8=tn(Ai,m8,null,"int32"),g8={kernelName:Ai,backendName:"cpu",kernelFunc:f8};function b8(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dataFormat:p,dilations:d,dimRoundingMode:c,activation:h,leakyreluAlpha:m}=a,f=NC({inputs:{x:r,filter:s},backend:n,attrs:{strides:l,pad:u,dataFormat:p,dilations:d,dimRoundingMode:c}});if(i){let g=f;if(p==="NCHW"&&i.shape.length===1&&i.shape[0]!==1){let b=ft({inputs:{x:i},backend:n,attrs:{shape:[i.shape[0],1,1]}});f=ml({inputs:{a:f,b},backend:n}),n.disposeIntermediateTensorInfo(b)}else f=ml({inputs:{a:f,b:i},backend:n});n.disposeIntermediateTensorInfo(g)}if(h){let g=f;if(p==="NCHW"&&h==="prelu"&&o.shape.length===1&&o.shape[0]!==1){let b=ft({inputs:{x:o},backend:n,attrs:{shape:[o.shape[0],1,1]}});f=Oh(n,f,h,b,m),n.disposeIntermediateTensorInfo(b)}else f=Oh(n,f,h,o,m);n.disposeIntermediateTensorInfo(g)}return f}var y8={kernelName:Qs,backendName:"cpu",kernelFunc:b8};function x8(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dataFormat:p,dilations:d,dimRoundingMode:c,activation:h,leakyreluAlpha:m}=a,f=CC({inputs:{x:r,filter:s},backend:n,attrs:{strides:l,pad:u,dataFormat:p,dilations:d,dimRoundingMode:c}});if(i){let g=f;f=ml({inputs:{a:f,b:i},backend:n}),n.disposeIntermediateTensorInfo(g)}if(h){let g=f;f=Oh(n,f,h,o,m),n.disposeIntermediateTensorInfo(g)}return f}var v8={kernelName:ei,backendName:"cpu",kernelFunc:x8};function w8(e){let{inputs:t,backend:n}=e,{params:a,indices:r}=t,s=v.sizeFromShape(a.shape),i=r.shape,o=i[i.length-1],[l,u,p,d]=N.prepareAndValidate(a,r);if(u===0)return n.makeTensorInfo(l,a.dtype,[]);let c=n.data.get(r.dataId).values,h=n.bufferSync(a),m=H2(c,h,a.dtype,u,o,p,d,a.shape,s);return n.makeTensorInfo(l,a.dtype,m.values)}var k8={kernelName:Bl,backendName:"cpu",kernelFunc:w8};function I8(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,indices:s}=t,{axis:i,batchDims:o}=a;ge([r,s],"gatherV2");let l=v.parseAxisParam(i,r.shape)[0],u=n.data.get(s.dataId).values,p=r.shape[l];for(let w=0;w=0,()=>`GatherV2: the index value ${I} is not in [0, ${p-1}]`)}let d=o;o==null&&(d=0);let c=v.sizeFromShape(s.shape),h=N.segment_util.collectGatherOpShapeInfo(r,s,l,d),m=ft({inputs:{x:r},backend:n,attrs:{shape:[h.batchSize,h.outerSize,h.dimSize,h.sliceSize]}}),f=ft({inputs:{x:s},backend:n,attrs:{shape:[h.batchSize,c/h.batchSize]}}),g=[h.batchSize,h.outerSize,c/h.batchSize,h.sliceSize],b=n.bufferSync(f),y=n.bufferSync(m),x=j2(y,b,g);return n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(f),n.makeTensorInfo(h.outputShape,x.dtype,x.values)}var S8={kernelName:zl,backendName:"cpu",kernelFunc:I8};function T8(e){let{inputs:t,backend:n}=e,{input:a}=t,r=v.sizeFromShape(a.shape),s=a.shape[a.shape.length-1],i=r/s,o=ft({inputs:{x:a},backend:n,attrs:{shape:[i,s]}}),l=_C(o,!0,n),u=ft({inputs:{x:l},backend:n,attrs:{shape:a.shape}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(l),u}var N8={kernelName:um,backendName:"cpu",kernelFunc:T8},C8=rt(Vl,e=>Number.isFinite(e)?1:0,"bool"),_8={kernelName:Vl,backendName:"cpu",kernelFunc:C8},E8=rt(Ul,e=>Math.abs(e)===1/0?1:0,"bool"),A8={kernelName:Ul,backendName:"cpu",kernelFunc:E8},$8=rt(Gl,e=>Number.isNaN(e)?1:0,"bool"),F8={kernelName:Gl,backendName:"cpu",kernelFunc:$8};function D8(e){let{backend:t,attrs:n}=e,{start:a,stop:r,num:s}=n,i=Z2(a,r,s);return t.makeTensorInfo([i.length],"float32",i)}var R8={kernelName:cm,backendName:"cpu",kernelFunc:D8},M8=rt(ql,e=>Math.log1p(e)),P8={kernelName:ql,backendName:"cpu",kernelFunc:M8},O8=Vt((e,t)=>e&&t),L8=tn(Kl,O8,null,"bool"),z8={kernelName:Kl,backendName:"cpu",kernelFunc:L8},B8=rt(Xl,e=>e?0:1,"bool"),W8={kernelName:Xl,backendName:"cpu",kernelFunc:B8},V8=Vt((e,t)=>e||t),U8=tn(Yl,V8,null,"bool"),G8={kernelName:Yl,backendName:"cpu",kernelFunc:U8};function H8(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{depthRadius:s,bias:i,alpha:o,beta:l}=a;ge(r,"LRN");let u=r.shape[3],p=u-1,d=n.data.get(r.dataId).values,c=v.sizeFromShape(r.shape),h=new Float32Array(c);function m(f){let g=f%u,b=f-g+Math.max(0,g-s),y=f-g+Math.min(g+s,p),x=0;for(;b<=y;b++){let w=d[b];x+=w*w}return x}for(let f=0;f`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${u}'`);let p=N.computePool2DInfo(r.shape,s,i,u,o,l),d;if(p.filterWidth===1&&p.filterHeight===1&&v.arraysEqual(p.inShape,p.outShape))d=or({inputs:{x:r},backend:n});else{let c=n.data.get(r.dataId).values,h=v.computeStrides(r.shape),m=R0(c,r.shape,r.dtype,h,p,"max");d=n.makeTensorInfo(p.outShape,r.dtype,m.values)}return d}var Z8={kernelName:Li,backendName:"cpu",kernelFunc:Y8};function J8(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l,dataFormat:u}=a;ge(r,"maxPool3d");let p=N.computePool3DInfo(r.shape,s,i,1,o,l,u),d=n.data.get(r.dataId).values,c=TC(d,r.shape,r.dtype,v.computeStrides(r.shape),p,"max");return n.makeTensorInfo(c.shape,"float32",c.values)}var Q8={kernelName:pc,backendName:"cpu",kernelFunc:J8};function eK(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,{filterSize:i,strides:o,pad:l,dimRoundingMode:u}=a;ge([r,s],"maxPool3DGrad");let p=N.computePool3DInfo(s.shape,i,o,1,l,u),d=n.bufferSync(s),c=Wq(d,p),h=p.strideDepth,m=p.strideHeight,f=p.strideWidth,g=p.dilationDepth,b=p.dilationHeight,y=p.dilationWidth,x=p.effectiveFilterDepth,w=p.effectiveFilterHeight,I=p.effectiveFilterWidth,T=x-1-p.padInfo.front,C=I-1-p.padInfo.left,E=w-1-p.padInfo.top,A=Pe(s.shape,"float32"),R=n.bufferSync(r);for(let F=0;F=p.outDepth||Math.floor(ee)!==ee))for(let ae=0;ae=p.outHeight||Math.floor(te)!==te))for(let le=0;le=p.outWidth||Math.floor(ie)!==ie)continue;let be=x*w*I-1-c.get(F,ee,te,ie,S),ue=Q*w*I+ae*I+le,xe=be===ue?1:0;xe!==0&&(Z+=R.get(F,ee,te,ie,S)*xe)}}}A.set(Z,F,M,W,U,S)}return n.makeTensorInfo(A.shape,A.dtype,A.values)}var tK={kernelName:mm,backendName:"cpu",kernelFunc:eK};function nK(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s,output:i}=t,o=s;ge([s,i],"maxPoolGrad");let{filterSize:l,strides:u,pad:p,dimRoundingMode:d}=a,c=N.computePool2DInfo(o.shape,l,u,1,p,d),h=n.data.get(o.dataId).values,m=Pe(c.outShape,o.dtype,SC(h,o.shape,o.dtype,c).values),f=c.strideHeight,g=c.strideWidth,b=c.dilationHeight,y=c.dilationWidth,x=c.effectiveFilterHeight,w=c.effectiveFilterWidth,I=w-1-c.padInfo.left,T=x-1-c.padInfo.top,C=Pe(o.shape,"float32"),E=n.data.get(r.dataId).values,A=Pe(r.shape,"float32",E);for(let R=0;R=c.outHeight||Math.floor(K)!==K))for(let Z=0;Z=c.outWidth||Math.floor(Q)!==Q)continue;let ee=x*w-1-m.get(R,K,Q,F),ae=q*w+Z,te=ee===ae?1:0;te!==0&&(G+=A.get(R,K,Q,F)*te)}}C.set(G,R,S,M,F)}return n.makeTensorInfo(C.shape,C.dtype,C.values)}var aK={kernelName:hm,backendName:"cpu",kernelFunc:nK};function rK(e,t,n,a,r){let s=v.computeStrides(t),i=R0(e,t,n,s,r,"max"),o=SC(e,t,n,r,!0,a);return[i.values,o.values]}var sK={kernelName:fm,backendName:"cpu",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:a}=e,{filterSize:r,strides:s,pad:i,includeBatchInIndex:o}=t,l=n;ge(a,"MaxPoolWithArgmax");let u=l.data.get(a.dataId).values,p=N.computePool2DInfo(a.shape,r,s,[1,1],i),[d,c]=rK(u,a.shape,a.dtype,o,p),h=l.write(d,p.outShape,a.dtype),m=l.write(c,p.outShape,a.dtype);return[{dataId:h,shape:p.outShape,dtype:a.dtype},{dataId:m,shape:p.outShape,dtype:"int32"}]}};function iK(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=v.parseAxisParam(s,r.shape),l=N.computeOutAndReduceShapes(r.shape,o)[1],u=v.sizeFromShape(l),p=[],d=n.makeTensorInfo([],"float32",new Float32Array([u]));p.push(d);let c=is({inputs:{x:r},backend:n,attrs:{dtype:"float32"}});p.push(c);let h=M0({inputs:{a:c,b:d},backend:n});p.push(h);let m=Jc({inputs:{x:h},backend:n,attrs:{axis:s,keepDims:i}});return p.forEach(f=>n.disposeIntermediateTensorInfo(f)),m}var oK={kernelName:zi,backendName:"cpu",kernelFunc:iK};function lK(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a;ge(r,"min");let o=v.parseAxisParam(s,r.shape),l=o,u=N.getAxesPermutation(l,r.shape.length),p=r;u!=null&&(p=Wn({inputs:{x:r},backend:n,attrs:{perm:u}}),l=N.getInnerMostAxes(l.length,r.shape.length)),N.assertAxesAreInnerMostDims("min",l,p.shape.length);let[d,c]=N.computeOutAndReduceShapes(p.shape,l),h=v.sizeFromShape(c),m=v.makeZerosTypedArray(v.sizeFromShape(d),p.dtype),f=n.data.get(p.dataId).values;for(let b=0;by[0]+r.shape[x]+y[1]),l=s.map(y=>y[0]),u=s.map((y,x)=>y[0]+r.shape[x]),p=i==="reflect"?0:1,d=n.data.get(r.dataId).values,c=r.shape.length,h=v.computeStrides(r.shape),m=v.sizeFromShape(o),f=o.length,g=v.computeStrides(o),b=v.getTypedArrayFromDType(r.dtype,m);for(let y=0;y=u[I]&&(x[I]=(u[I]-1)*2-x[I]+p);x=x.map((I,T)=>I-l[T]);let w=v.locToIndex(x,c,h);b[y]=d[w]}return{dataId:n.write(b,o,r.dtype),shape:o,dtype:r.dtype}}var cK={kernelName:Vi,backendName:"cpu",kernelFunc:pK},dK=Vt((e,t)=>{let n=e%t;return e<0&&t<0||e>=0&&t>=0?n:(n+t)%t}),hK=tn(Zl,dK),mK={kernelName:Zl,backendName:"cpu",kernelFunc:hK},fK=ls(Gh());function AC(e){let{inputs:t,backend:n,attrs:a}=e,{logits:r}=t,{dim:s}=a,i=r.shape.length,o=s;if(o===-1&&(o=i-1),o!==i-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${i} and dim was ${o}`);let l=v.parseAxisParam([o],r.shape),u=EC({inputs:{x:r},backend:n,attrs:{reductionIndices:l,keepDims:!1}}),p=N.expandShapeToKeepDim(u.shape,l),d=ft({inputs:{x:u},backend:n,attrs:{shape:p}}),c=D0({inputs:{a:r,b:d},backend:n}),h=V2({inputs:{x:c},backend:n}),m=Jc({inputs:{x:h},backend:n,attrs:{axis:l,keepDims:!1}}),f=ft({inputs:{x:m},backend:n,attrs:{shape:p}}),g=M0({inputs:{a:h,b:f},backend:n});return n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(f),g}var gK={kernelName:io,backendName:"cpu",kernelFunc:AC};function bK(e){let{inputs:t,backend:n,attrs:a}=e,{logits:r}=t,{numSamples:s,seed:i,normalized:o}=a;ge(r,"multinomial");let l=o?r:AC({inputs:{logits:r},backend:n,attrs:{dim:-1}}),u=l.shape[0],p=l.shape[1],d=n.data.get(l.dataId).values,c=[u,s],h=v.makeZerosTypedArray(v.sizeFromShape(c),"int32");for(let m=0;m=0&&d[c]{v.assertShapesMatch(s,p.shape,"All tensors passed to stack must have matching shapes"),v.assert(i===p.dtype,()=>"All tensors passed to stack must have matching dtypes")});let o=[],l=t.map(p=>{let d=Lh({inputs:{input:p},backend:n,attrs:{dim:r}});return o.push(d),d}),u=gl({inputs:l,backend:n,attrs:{axis:r}});return o.forEach(p=>n.disposeIntermediateTensorInfo(p)),u}var FK={kernelName:ru,backendName:"cpu",kernelFunc:FC};function DK(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{paddings:s,constantValue:i}=a;ge(r,"pad");let o=s.map((b,y)=>b[0]+r.shape[y]+b[1]),l=s.map(b=>b[0]),u=n.data.get(r.dataId).values,p=v.sizeFromShape(r.shape),d=r.shape.length,c=v.computeStrides(r.shape),h=v.sizeFromShape(o),m=o.length,f=v.computeStrides(o),g=v.getTypedArrayFromDType(r.dtype,h);i!==0&&g.fill(i);for(let b=0;bw+l[I]),x=v.locToIndex(y,m,f);g[x]=u[b]}return{dataId:n.write(g,o,r.dtype),shape:o,dtype:r.dtype}}var DC={kernelName:Hi,backendName:"cpu",kernelFunc:DK},RK=Vt((e,t)=>Math.pow(e,t)),MK=tn(ji,RK),PK={kernelName:ji,backendName:"cpu",kernelFunc:MK};function OK(e){let{inputs:t,backend:n,attrs:a}=e,{paramsNestedSplits:r,paramsDenseValues:s,indices:i}=t,{outputRaggedRank:o}=a,l=r.map(b=>n.data.get(b.dataId).values),u=r.map(b=>b.shape),p=n.data.get(s.dataId).values,d=n.data.get(i.dataId).values,[c,h,m]=sC(l,u,p,s.shape,s.dtype,d,i.shape,o),f=c.map(b=>n.makeTensorInfo([b.length],"int32",b)),g=n.makeTensorInfo(m,s.dtype,h);return f.concat([g])}var LK={kernelName:bm,backendName:"cpu",kernelFunc:OK};function zK(e){let{inputs:t,backend:n,attrs:a}=e,{shape:r,values:s,defaultValue:i,rowPartitionTensors:o}=t,{rowPartitionTypes:l}=a,u=n.data.get(r.dataId).values,p=n.data.get(s.dataId).values,d=n.data.get(i.dataId).values,c=o.map(g=>n.data.get(g.dataId).values),h=o.map(g=>g.shape),[m,f]=iC(u,r.shape,p,s.shape,s.dtype,d,i.shape,c,h,l);return n.makeTensorInfo(m,s.dtype,f)}var BK={kernelName:ym,backendName:"cpu",kernelFunc:zK};function WK(e){let{backend:t,attrs:n}=e,{start:a,stop:r,dtype:s,step:i}=n,o=_0(a,r,i,s);return t.makeTensorInfo([o.length],s,o)}var VK={kernelName:cc,backendName:"cpu",kernelFunc:WK},UK=rt(su,e=>1/e),GK={kernelName:su,backendName:"cpu",kernelFunc:UK};function HK(e){let{inputs:t,backend:n,attrs:a}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=a;ge(r,"resizeBilinear");let l=v.computeStrides(r.shape),[u,p]=o,[d,c,h,m]=r.shape,f=n.data.get(r.dataId).values,g=new Float32Array(v.sizeFromShape([d,u,p,m])),b=[s&&u>1?c-1:c,s&&p>1?h-1:h],y=[s&&u>1?u-1:u,s&&p>1?p-1:p],x=0,w=b[0]/y[0],I=b[1]/y[1];for(let T=0;T1?u-1:u,i&&h>1?p-1:p],g=[i&&c>1?c-1:c,i&&h>1?h-1:h],b=f[0]/g[0],y=f[1]/g[1],x=n.data.get(s.dataId).values,w=0;for(let I=0;I1?c-1:c,s&&p>1?h-1:h],y=[s&&u>1?u-1:u,s&&p>1?p-1:p],x=b[0]/y[0],w=b[1]/y[1],I=0;for(let T=0;T1?p-1:p,i&&m>1?d-1:d],y=[i&&h>1?h-1:h,i&&m>1?m-1:m],x=b[0]/y[0],w=b[1]/y[1],I=1/x,T=1/w,C=Math.ceil(I)*2+2,E=Math.ceil(T)*2+2;for(let A=0;A=h)continue;let te=R+ae*l[1],le=ae*x,ie=Math.min(p-1,i?Math.round(le):Math.floor(le));if(F===ie)for(let be=0;be=m)continue;let xe=te+ue*l[2],Ie=ue*w,Se=Math.min(d-1,i?Math.round(Ie):Math.floor(Ie));U===Se&&(Q+=g[xe+Z])}}f[G+Z]=Q}}}}return n.makeTensorInfo(r.shape,r.dtype,f)}var JK={kernelName:vm,backendName:"cpu",kernelFunc:ZK};function QK(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dims:s}=a;ge(r,"reverse");let i=r.shape.length,o=v.parseAxisParam(s,r.shape);if(i===0)return or({inputs:{x:r},backend:n});let l=new Ht(r.shape,r.dtype),u=n.bufferSync(r);for(let p=0;pc[h]=r.shape[h]-1-c[h]),l.set(u.get(...c),...d)}return n.makeTensorInfo(l.shape,l.dtype,l.values)}var eX={kernelName:Qi,backendName:"cpu",kernelFunc:QK},tX={kernelName:ku,backendName:"cpu",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{image:a}=e,{radians:r,fillValue:s,center:i}=t,o=n,l=v.getTypedArrayFromDType(a.dtype,v.sizeFromShape(a.shape)),[u,p,d,c]=a.shape,[h,m]=N.getImageCenter(i,p,d),f=255,g=Math.sin(r),b=Math.cos(r),y=o.data.get(a.dataId).values;for(let x=0;x=0&&M=0&&W{let t=Math.floor(e);return e-t<.5?Math.floor(e):e-t>.5?Math.ceil(e):t%2===0?t:t+1}),aX={kernelName:eo,backendName:"cpu",kernelFunc:nX};function rX(e){let{inputs:t,backend:n,attrs:a}=e,{indices:r,updates:s}=t,{shape:i}=a,{sliceRank:o,numUpdates:l,sliceSize:u,strides:p,outputSize:d}=N.calculateShapes(s,r,i),c=!0,h=n.bufferSync(r),m=n.bufferSync(s),f=Xo(h,m,i,d,u,l,o,p,0,c);return n.makeTensorInfo(i,f.dtype,f.values)}var sX={kernelName:ou,backendName:"cpu",kernelFunc:rX};function iX(e,t){let n=0,a=e.length,r=0;for(;n1||r.shape.length===1?1:v.sizeFromShape(r.shape.slice(1));for(let m=0;me>=0?mX*e:hX*(Math.exp(e)-1)),gX={kernelName:uu,backendName:"cpu",kernelFunc:fX},bX=rt(du,e=>e<0?-1:e>0?1:0),yX={kernelName:du,backendName:"cpu",kernelFunc:bX},xX=rt(no,e=>Math.sin(e)),vX={kernelName:no,backendName:"cpu",kernelFunc:xX},wX=rt(cu,e=>Math.sinh(e)),kX={kernelName:cu,backendName:"cpu",kernelFunc:wX},IX=11920928955078125e-23,Ok=Math.log(IX)+2,SX=rt(hu,e=>{let t=e>-Ok,n=e0&&v.isString(n[0])){let r=n.map(s=>v.encodeString(s));a=this.write(r,e,t)}else a=this.write(n,e,t);return{dataId:a,shape:e,dtype:t}}refCount(e){return this.data.has(e)?this.data.get(e).refCount:0}incRef(e){let t=this.data.get(e);t.refCount++}decRef(e){if(this.data.has(e)){let t=this.data.get(e);t.refCount--}}move(e,t,n,a,r){this.data.set(e,{values:t,dtype:a,refCount:r})}numDataIds(){return this.data.numDataIds()}async read(e){return this.readSync(e)}readSync(e){let{dtype:t,complexTensorInfos:n}=this.data.get(e);if(t==="complex64"){let a=this.readSync(n.real.dataId),r=this.readSync(n.imag.dataId);return N.mergeRealAndImagArrays(a,r)}return this.data.get(e).values}bufferSync(e){let t=this.readSync(e.dataId);if(e.dtype==="string")try{let n=t.map(a=>v.decodeString(a));return Pe(e.shape,e.dtype,n)}catch(n){throw new Error("Failed to decode encoded string bytes into utf-8")}return Pe(e.shape,e.dtype,t)}makeOutput(e,t,n){return Na().makeTensorFromTensorInfo(this.makeTensorInfo(t,n,e),this)}disposeData(e,t=!1){if(this.data.has(e)){if(this.data.get(e).refCount--,!t&&this.data.get(e).refCount>0)return!1;let{complexTensorInfos:n}=this.data.get(e);n!=null&&(this.disposeData(n.real.dataId,!0),this.disposeData(n.imag.dataId,!0)),this.data.delete(e)}return!0}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}async time(e){let t=v.now();return e(),{kernelMs:v.now()-t}}memory(){return{unreliable:!0,reasons:["The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less."]}}where(e){ge([e],"where");let t=this.readSync(e.dataId);return dj(e.shape,t)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}};N0.nextDataId=0;var W2={};Ae(W2,{addImpl:()=>U2,bincountImpl:()=>_0,bincountReduceImpl:()=>G2,castImpl:()=>V2,ceilImpl:()=>H2,concatImpl:()=>E0,equalImpl:()=>j2,expImpl:()=>K2,expm1Impl:()=>Y2,floorImpl:()=>Z2,gatherNdImpl:()=>J2,gatherV2Impl:()=>Q2,greaterEqualImpl:()=>tC,greaterImpl:()=>eC,lessEqualImpl:()=>aC,lessImpl:()=>nC,linSpaceImpl:()=>rC,logImpl:()=>sC,maxImpl:()=>iC,maximumImpl:()=>oC,minimumImpl:()=>lC,multiplyImpl:()=>A0,negImpl:()=>uC,notEqualImpl:()=>pC,prodImpl:()=>cC,raggedGatherImpl:()=>dC,raggedRangeImpl:()=>hC,raggedTensorToTensorImpl:()=>mC,rangeImpl:()=>F0,rsqrtImpl:()=>fC,scatterImpl:()=>Yo,sigmoidImpl:()=>iq,simpleAbsImpl:()=>B2,sliceImpl:()=>Oh,sparseFillEmptyRowsImpl:()=>bC,sparseReshapeImpl:()=>yC,sparseSegmentReductionImpl:()=>D0,sqrtImpl:()=>uq,squaredDifferenceImpl:()=>xC,stridedSliceImpl:()=>vC,stringNGramsImpl:()=>R0,stringSplitImpl:()=>M0,stringToHashBucketFastImpl:()=>P0,subImpl:()=>wC,tileImpl:()=>kC,topKImpl:()=>SC,transposeImpl:()=>$0,uniqueImpl:()=>TC});function B2(e){let t=new Float32Array(e.length);for(let n=0;n{let{x:t}=e.inputs,n=e.backend;ge(t,"abs");let a=new Float32Array(v.sizeFromShape(t.shape)),r=n.data.get(t.dataId).values;return a=B2(r),n.makeOutput(a,t.shape,t.dtype)},mj={kernelName:wl,backendName:"cpu",kernelFunc:hj};function Vt(e){return(t,n,a,r,s)=>{let i=N.assertAndGetBroadcastShape(t,n),o=i.length,l=v.computeStrides(i),u=v.sizeFromShape(i),p=v.getTypedArrayFromDType(s,u),d=t.length,c=n.length,h=v.computeStrides(t),m=v.computeStrides(n),f=N.getBroadcastDims(t,i),g=N.getBroadcastDims(n,i);if(f.length+g.length===0)for(let b=0;bx[C]=0);let w=v.locToIndex(x,d,h),I=y.slice(-c);g.forEach(C=>I[C]=0);let T=v.locToIndex(I,c,m);p[b]=e(a[w],r[T])}return[p,i]}}function Yn(e){let{inputs:t,backend:n}=e,{real:a,imag:r}=t,s=n.data.get(a.dataId).values,i=n.data.get(r.dataId).values,o=n.makeTensorInfo(a.shape,"complex64"),l=n.data.get(o.dataId);return l.complexTensorInfos={real:n.makeTensorInfo(a.shape,"float32",s),imag:n.makeTensorInfo(r.shape,"float32",i)},o}var fj={kernelName:Qh,backendName:"cpu",kernelFunc:Yn};function Ph(e,t,n="float32"){if(n==="complex64"){let r=Ph(e,t,"float32"),s=Ph(e,t,"float32");return Yn({inputs:{real:r,imag:s},backend:e})}let a=v.makeZerosTypedArray(v.sizeFromShape(t),n);return e.makeTensorInfo(t,n,a)}function lr(e){let{inputs:t,backend:n}=e,{x:a}=t;return n.incRef(a.dataId),{dataId:a.dataId,shape:a.shape,dtype:a.dtype}}var gj={kernelName:Di,backendName:"cpu",kernelFunc:lr};function li(e){let{inputs:t,backend:n}=e,{input:a}=t,r=n.data.get(a.dataId).complexTensorInfos.real,s=n.data.get(r.dataId).values;return n.makeTensorInfo(r.shape,r.dtype,s)}var bj={kernelName:wm,backendName:"cpu",kernelFunc:li};function V2(e,t,n,a){if(a==="int32"){let r=Int32Array.from(e);return[t,"int32",r]}if(a==="bool"){let r=v.toTypedArray([0],n),[s,i]=Vt((o,l)=>o!==l?1:0)(t,[],e,r,"bool");return[i,"bool",s]}throw new Error(`Error in Cast: failed to cast ${n} to ${a}`)}function os(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dtype:s}=a;if(s==="complex64"){if(r.dtype==="complex64")return lr({inputs:{x:r},backend:n});let p=Ph(n,r.shape,r.dtype),d=os({inputs:{x:r},backend:n,attrs:{dtype:"float32"}}),c=Yn({inputs:{real:d,imag:p},backend:n});return n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(d),c}if(r.dtype==="complex64"){let p=li({inputs:{input:r},backend:n}),d=os({inputs:{x:p},backend:n,attrs:{dtype:s}});return n.disposeIntermediateTensorInfo(p),d}if(!v.hasEncodingLoss(r.dtype,s)){let p=lr({inputs:{x:r},backend:n});return{dataId:p.dataId,shape:p.shape,dtype:s}}let i=n.data.get(r.dataId).values,[o,l,u]=V2(i,r.shape,r.dtype,s);return n.makeTensorInfo(o,l,u)}var yj={kernelName:yi,backendName:"cpu",kernelFunc:os};function nn(e,t,n,a){return n==null?({inputs:r,backend:s})=>{let{a:i,b:o}=r,l=s;ge([i,o],e);let u=l.data.get(i.dataId).values,p=l.data.get(o.dataId).values,d=i.dtype==="string"?N.fromUint8ToStringArray(u):u,c=i.dtype==="string"?N.fromUint8ToStringArray(p):p,h=a||i.dtype,[m,f]=t(i.shape,o.shape,d,c,h);return l.makeTensorInfo(f,h,m)}:({inputs:r,backend:s})=>{let{a:i,b:o}=r,l=s;if(i.dtype==="complex64"||o.dtype==="complex64"){let u=os({inputs:{x:i},backend:l,attrs:{dtype:"complex64"}}),p=l.data.get(u.dataId),d=p.complexTensorInfos.real,c=p.complexTensorInfos.imag,h=l.data.get(d.dataId).values,m=l.data.get(c.dataId).values,f=os({inputs:{x:o},backend:l,attrs:{dtype:"complex64"}}),g=l.data.get(f.dataId),b=g.complexTensorInfos.real,y=g.complexTensorInfos.imag,x=l.data.get(b.dataId).values,w=l.data.get(y.dataId).values,[I,T,C]=n(i.shape,o.shape,h,m,x,w),E=l.makeTensorInfo(C,"float32",I),A=l.makeTensorInfo(C,"float32",T),R=Yn({inputs:{real:E,imag:A},backend:l});return l.disposeIntermediateTensorInfo(u),l.disposeIntermediateTensorInfo(f),l.disposeIntermediateTensorInfo(E),l.disposeIntermediateTensorInfo(A),R}else{let u=l.data.get(i.dataId).values,p=l.data.get(o.dataId).values,d=a||i.dtype,[c,h]=t(i.shape,o.shape,u,p,d);return l.makeTensorInfo(h,d,c)}}}function C0(e){return(t,n,a,r,s,i)=>{let o=N.assertAndGetBroadcastShape(t,n),l=v.sizeFromShape(o),u=o.length,p=v.computeStrides(o),d=v.getTypedArrayFromDType("float32",l),c=v.getTypedArrayFromDType("float32",l),h=N.getBroadcastDims(t,o),m=N.getBroadcastDims(n,o),f=N.mergeRealAndImagArrays(a,r),g=N.mergeRealAndImagArrays(s,i),b=t.length,y=v.computeStrides(t),x=n.length,w=v.computeStrides(n);if(h.length+m.length===0)for(let I=0;IC[S]=0);let E=v.locToIndex(C,b,y),A=T.slice(-x);m.forEach(S=>A[S]=0);let R=v.locToIndex(A,x,w),F=e(f[E*2],f[E*2+1],g[R*2],g[R*2+1]);d[I]=F.real,c[I]=F.imag}return[d,c,o]}}var U2=Vt((e,t)=>e+t),xj=C0((e,t,n,a)=>({real:e+n,imag:t+a})),gl=nn(cs,U2,xj),vj={kernelName:cs,backendName:"cpu",kernelFunc:gl};function _0(e,t,n,a,r){let s=v.sizeFromShape(a),i=v.makeZerosTypedArray(r,n);for(let o=0;o=r||(s>0?i[l]+=t[o]:i[l]+=1)}return i}function G2(e,t,n,a=!1){let r=e.shape[0],s=e.shape[1],i=Pe([r,n],t.dtype);for(let o=0;o=n||(a?i.set(1,o,u):t.size>0?i.set(i.get(o,u)+t.get(o,l),o,u):i.set(i.get(o,u)+1,o,u))}return i}function ks(e){return(t,n,a)=>{let r=v.getTypedArrayFromDType(n,t.length);for(let s=0;s{let{x:i}=a;if(ge(i,e),i.dtype==="string"||n==="string")throw new Error("unaryKernelFunc does not support string input/output");let o=s,l=o.data.get(i.dataId).values,u=v.sizeFromShape(i.shape),p=n||i.dtype,d=v.getArrayFromDType(p,u);for(let c=0;c{let{x:i}=a;if(ge(i,e),i.dtype==="string"||n==="string")throw new Error("unaryKernelFunc does not support string input/output");let o=s,l=o.data.get(i.dataId).values,u=n||i.dtype,p=t(l,u,r);return o.makeTensorInfo(i.shape,u,p)}}var H2=ks(e=>Math.ceil(e)),wj=Pu(xi,H2),kj={kernelName:xi,backendName:"cpu",kernelFunc:wj};function E0(e,t,n,a){let r=v.getArrayFromDType(n,v.sizeFromShape(t));if(a&&n!=="string"){let s=0;e.forEach(i=>{let o=v.sizeFromShape(i.shape);r.set(i.vals,s),s+=o})}else{let s=0;e.forEach(i=>{let o=n==="string"?N.fromUint8ToStringArray(i.vals):i.vals,l=0;for(let u=0;ue===t?1:0),q2=nn(Ol,j2,null,"bool"),Ij={kernelName:Ol,backendName:"cpu",kernelFunc:q2},K2=ks(e=>Math.exp(e)),X2=Pu(_i,K2,"float32"),Sj={kernelName:_i,backendName:"cpu",kernelFunc:X2},Y2=ks(e=>Math.expm1(e)),Tj=Pu(zl,Y2),Nj={kernelName:zl,backendName:"cpu",kernelFunc:Tj},Z2=ks(e=>Math.floor(e)),Cj=Pu(Ei,Z2),_j={kernelName:Ei,backendName:"cpu",kernelFunc:Cj};function J2(e,t,n,a,r,s,i,o,l){let u=Pe([a,s],n);for(let p=0;p=l/s)throw new Error(`Invalid indices: ${d} does not index into ${o}`);for(let h=0;he>t?1:0),Ej=nn(Ul,eC,null,"bool"),Aj={kernelName:Ul,backendName:"cpu",kernelFunc:Ej},tC=Vt((e,t)=>e>=t?1:0),$j=nn(Fi,tC,null,"bool"),Fj={kernelName:Fi,backendName:"cpu",kernelFunc:$j},nC=Vt((e,t)=>ee<=t?1:0),Mj=nn(Kl,aC,null,"bool"),Pj={kernelName:Kl,backendName:"cpu",kernelFunc:Mj};function rC(e,t,n){let a=(t-e)/(n-1),r=v.makeZerosTypedArray(n,"float32");r[0]=e;for(let s=1;sMath.log(e)),Oj=Pu(Mi,sC),Lj={kernelName:Mi,backendName:"cpu",kernelFunc:Oj};function iC(e,t,n,a){let r=v.getTypedArrayFromDType(a,v.sizeFromShape(n));for(let s=0;so)&&(o=u)}r[s]=o}return r}var oC=Vt((e,t)=>Math.max(e,t)),zj=nn(Oi,oC),Wj={kernelName:Oi,backendName:"cpu",kernelFunc:zj},lC=Vt((e,t)=>Math.min(e,t)),Bj=nn(Bi,lC),Vj={kernelName:Bi,backendName:"cpu",kernelFunc:Bj},A0=Vt((e,t)=>e*t),Uj=C0((e,t,n,a)=>({real:e*n-t*a,imag:e*a+t*n})),Ff=nn(Ui,A0,Uj),Gj={kernelName:Ui,backendName:"cpu",kernelFunc:Ff};function uC(e,t,n){let a=v.createScalarValue(-1,n);return A0([],t,a,e,n)}function Hj(e){let{inputs:t,backend:n}=e,{x:a}=t;ge(a,"neg");let r=n.data.get(a.dataId).values,[s,i]=uC(r,a.shape,a.dtype);return n.makeTensorInfo(i,a.dtype,s)}var jj={kernelName:eu,backendName:"cpu",kernelFunc:Hj},pC=Vt((e,t)=>e!==t?1:0),qj=nn(tu,pC,null,"bool"),Kj={kernelName:tu,backendName:"cpu",kernelFunc:qj};function $0(e,t,n,a,r){let s=t.length,i=v.sizeFromShape(t),o=v.computeStrides(t),l=v.computeStrides(r),u=v.getTypedArrayFromDType(n,v.sizeFromShape(r));for(let p=0;pn.disposeIntermediateTensorInfo(y)),n.makeTensorInfo(b,g,m)}var Zj={kernelName:Ki,backendName:"cpu",kernelFunc:Yj};function Jj(e,t,n){e.forEach((a,r)=>{if(a<0||a>=n){let s=v.indexToLoc(r,t.length,v.computeStrides(t)).join(",");throw new Error(`indices[${s}] = ${a} is not in [0, ${n})`)}})}function Qj(e,t){for(let n=0;nr)throw new Error("Ragged splits must not point past values");for(let s=1;sa[s])throw new Error("Ragged splits must be sorted in ascending order")}}function eq(e,t,n,a){let r=[],s=0,i=t.length-1+n.length,o=new Array(i).fill(null).map(()=>[0]);Qj(n,a);let l=1;for(let u=0;u=0){let f=o[m],g=f[f.length-1]-h[p];for(let b=p;br[i]=s)}return t}function zk(e,t){let n=e.slice(0,t);for(;n.length1)throw new Error("starts must be a scalar or vector");if(r.length>1)throw new Error("limits must be a scalar or vector");if(i.length>1)throw new Error("deltas must be a scalar or vector");let o=t.length===0,l=r.length===0,u=i.length===0,p=[];o||p.push(t[0]),l||p.push(r[0]),u||p.push(i[0]);for(let g=1;g0&&yb)w=0;else if(w=Math.ceil(Math.abs((y-b)/x)),w>Wk)throw new Error(`Requires ((limit - start) / delta) <= ${Wk}`);c[g+1]=c[g]+w}let h=c[d],m=v.getArrayFromDType(n,h),f=0;for(let g=0;gn&&(n=r)}return n}static getMaxWidthValueRowID(e){let t=e.length;if(t===0)return 0;let n=0,a=e[0],r=0;for(let s=1;s"Final length of result must be equal to firstDimension."),r}calculateOutputIndexRowSplit(e,t,n,a){let r=e.length,s=[];for(let i=0;i0&&s.length!==e[r-1])throw new Error("Invalid row split size.");return s}calculateOutputIndexValueRowID(e,t,n,a){let r=e.length,s=[];if(r===0)return[];let i=0,o=e[0];if(o>=t.length)throw new Error(`Got currentValueRowId=${o}, which is not less than ${t.length}`);let l=t[o];s.push(l);for(let u=1;u=0&&(++i,i=t.length)throw new Error(`Got nextValueRowId=${p} which is not less than ${t.length}`);l=t[p]}s.push(l)}if(s.length!==e.length)throw new Error("Invalid row ids.");return s}calculateOutputIndex(e,t,n,a){let r=this.getRowPartitionTensor(e),s=this.getRowPartitionTypeByDimension(e);switch(s){case Ia.VALUE_ROWIDS:return this.calculateOutputIndexValueRowID(r,t,n,a);case Ia.ROW_SPLITS:if(r.length-1>t.length)throw new Error(`Row partition size is greater than output size: ${r.length-1} > ${t.length}`);return this.calculateOutputIndexRowSplit(r,t,n,a);default:throw new Error(`Unsupported partition type: ${Ia[s]}`)}}getFirstDimensionSize(){let e=this.rowPartitionValues[0];if(this.rowPartitionTypes.length===0)throw new Error("No row_partition_types given.");let t=this.rowPartitionTypes[0];switch(t){case Ia.FIRST_DIM_SIZE:return e[0];case Ia.VALUE_ROWIDS:throw new Error("Cannot handle VALUE_ROWIDS in first dimension.");case Ia.ROW_SPLITS:return this.rowPartitionValuesShapes[0][0]-1;default:throw new Error(`Cannot handle type ${Ia[t]}`)}}compute(){if(this.rowPartitionValues[0].length<=0)throw new Error("Invalid first partition input. Tensor requires at least one element.");let e=this.getFirstDimensionSize(),t=this.calculateOutputSize(e),n=new Array(this.raggedRank+1);n[n.length-1]=1;for(let s=n.length-2;s>=0;--s)n[s]=n[s+1]*t[s+1];let a=Vk(t,!1),r=v.getArrayFromDType(this.valuesDType,v.sizeFromShape(a));if(n[0]*t[0]>0){let s=this.calculateFirstParentOutputIndex(e,n[0],t[0]);for(let i=1;i<=this.raggedRank;++i)s=this.calculateOutputIndex(i-1,s,n[i],t[i]);this.setOutput(this.raggedRank,s,r,a)}return[a,r]}setOutput(e,t,n,a){if(n.length===0)return;let r=this.values,s=n,i=a.slice();i=i.slice(e+1);let o=v.sizeFromShape(i),l=t.length,u=this.defaultValue;if(u.length!==o&&u.length!==1){let h=this.defaultValueShape;P(()=>{let m=W(u,h);u=Ks(m,i).dataSync()})}let p=0,d=0,c=0;for(let h=0;h<=l;++h){let m=h=l){let f=n.length;m=Math.floor(f/o)}if(m>c)if(this.defaultValue.length===1)s.subarray(c*o,m*o).fill(this.defaultValue[0]),c=m;else for(;m>c;){let f=s.slice(c*o);Bk(f,u,o),++c}m<0?(p=h+1,d=c):(p=h,d=c,c=d+1)}}};function Bk(e,t,n){for(let a=0;a= 0`);if(a<-1)throw new Error(`Dimension ${a} must be >= -1`);a=-1}n.push(a)}return n}function mC(e,t,n,a,r,s,i,o,l,u){return new ax(e,t,n,a,r,s,i,o,l,u).compute()}function F0(e,t,n,a){let r=e===t,s=e1;if(r||s||i)return v.makeZerosTypedArray(0,a);let o=Math.abs(Math.ceil((t-e)/n)),l=v.makeZerosTypedArray(o,a);t1/Math.sqrt(e)),rq=Pu(to,fC),sq={kernelName:to,backendName:"cpu",kernelFunc:rq};function Yo(e,t,n,a,r,s,i,o,l,u){let p=[a/r,r],d=e.values,c=t.values;if(a===0)return Pe(n,t.dtype);let h=Pe(p,t.dtype);typeof l=="string"||typeof l=="number"?h.values.fill(l):typeof l=="boolean"&&h.values.fill(+l);for(let m=0;m=a/r)throw new Error(`Invalid indices: ${f} does not index into ${n}`);for(let b=0;b1/(1+Math.exp(-e))),gC=rt(ao,e=>1/(1+Math.exp(-e))),oq={kernelName:ao,backendName:"cpu",kernelFunc:gC};function Oh(e,t,n,a,r){let s=jt.isSliceContinous(a,t,n),i=v.sizeFromShape(n),o=v.computeStrides(a);if(s){let d=jt.computeFlatOffset(t,o);return r==="string"?e.slice(d,d+i):e.subarray(d,d+i)}let l=r==="string"?N.fromUint8ToStringArray(e):e,u=Pe(a,r,l),p=Pe(n,r);for(let d=0;dm+t[f]);p.set(u.get(...h),...c)}return r==="string"?N.fromStringArrayToUint8(p.values):p.values}function ui(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{begin:s,size:i}=a;ge(r,"slice");let[o,l]=jt.parseSliceParams(r,s,i);jt.assertParamsValid(r,o,l);let u=n.data.get(r.dataId).values,p=Oh(u,o,l,r.shape,r.dtype);return n.makeTensorInfo(l,r.dtype,p)}var lq={kernelName:du,backendName:"cpu",kernelFunc:ui};function bC(e,t,n,a,r,s,i){let o=t[0],l=s[0],u=new Array(l),p=new Array(o),d=t[1];if(l===0){if(o!==0)throw new Error(N.getSparseFillEmptyRowsIndicesDenseShapeMismatch(o));let g=v.getArrayFromDType(n,0),b=v.getArrayFromDType(r,0);return[g,[0,d],b,u,p]}let c=!0,h=0,m=new Array(l).fill(0);for(let g=0;g=l)throw new Error(N.getSparseFillEmptyRowsOutOfRangeIndexErrorMessage(g,b,l));++m[b],c=c&&b>=h,h=b}let f=!0;for(let g=0;g0&&(m[g]+=m[g-1])}if(f&&c){let g=e,b=a;for(let y=0;y0){c[d-1]=1;for(let f=d-2;f>=0;--f)c[f]=c[f+1]*a[f+1]}let h=[];if(o>0){h[o-1]=1;for(let f=o-2;f>=0;--f)h[f]=h[f+1]*l[f+1]}let m=v.getArrayFromDType(n,i*o);for(let f=0;f0?r[o-1]+1:0;if(p<0)throw new Error(N.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let d=t.slice();d[0]=p;let c=d.reduce((y,x)=>y*x,1),h=v.getArrayFromDType(n,c);if(o===0)return p>0&&h.fill(i),[h,d];if(p<=0)throw new Error(N.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let m=0,f=1,g=0,b=r[m];for(;;){let y=0;if(f=y)throw new Error(N.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage())}if(b<0||b>=p)throw new Error(N.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(b,p));b>g&&h.fill(i,g*u,b*u);for(let x=m;x=l[0])throw new Error(N.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(x,a[x],l[0]));for(let I=0;Io)break}return gMath.sqrt(e)),pq=rt(ro,e=>Math.sqrt(e)),cq={kernelName:ro,backendName:"cpu",kernelFunc:pq},xC=Vt((e,t)=>{let n=e-t;return n*n}),dq=nn(oo,xC),hq={kernelName:oo,backendName:"cpu",kernelFunc:dq};function vC(e,t,n,a){let r=Pe(e,t.dtype);for(let s=0;s0?0:i-o),c=0;c+=l*this.leftPad.length;for(let g=0;gg.forEach(b=>h[m++]=b);for(let g=0;g0){f(e[d+p-1]);for(let g=0;g0){let o=t[0];if(o!==0)throw new Error(`First split value must be 0, got ${o}`);for(let l=1;l=o;if(u=u&&t[l]<=n,!u)throw new Error(`Invalid split value ${t[l]}, must be in [${o}, ${n}]`);o=t[l]}if(o!==n)throw new Error(`Last split value must be data size. Expected ${n}, got ${o}`)}let r=a-1,s=v.getArrayFromDType("int32",a);if(n===0||a===0){let o=new Array(n);for(let l=0;l<=r;++l)s[l]=0;return[o,s]}s[0]=0;for(let o=1;o<=r;++o){let l=t[o]-t[o-1],u=0;this.nGramWidths.forEach(p=>{u+=this.getNumNGrams(l,p)}),this.preserveShort&&l>0&&u===0&&(u=1),s[o]=s[o-1]+u}let i=new Array(s[r]);for(let o=0;o{let d=t[o+1]-t[o],c=this.getNumNGrams(d,p);this.createNGrams(e,l,i,u,c,p),u+=c}),this.preserveShort&&u===s[o]){let p=t[o+1]-t[o];if(p===0)continue;let d=p+2*this.padWidth,c=1;this.createNGrams(e,l,i,u,c,d)}}return[i,s]}};function R0(e,t,n,a,r,s,i,o){return new mq(n,a,r,s,i,o).compute(e,t)}function fq(e,t,n,a){if(!e.length)return;if(t.length===0){for(let s=0;se-t),gq=C0((e,t,n,a)=>({real:e-n,imag:t-a})),O0=nn(lo,wC,gq),bq={kernelName:lo,backendName:"cpu",kernelFunc:O0};function kC(e,t){let n=new Array(e.rank);for(let r=0;r{let n=t.value-e.value;return n===0?e.index-t.index:n};function IC(e,t,n=0,a=e.length-1){for(;a>n;){if(a-n>600){let o=a-n+1,l=t-n+1,u=Math.log(o),p=.5*Math.exp(2*u/3),d=.5*Math.sqrt(u*p*(o-p)/o)*Math.sign(l-o/2),c=Math.max(n,Math.floor(t-l*p/o+d)),h=Math.min(a,Math.floor(t+(o-l)*p/o+d));IC(e,t,c,h)}let r=e[t],s=n,i=a;for(v.swap(e,n,t),$p(e[a],r)>0&&v.swap(e,n,a);s0;)i=i-1}$p(e[n],r)===0?v.swap(e,n,i):(i=i+1,v.swap(e,i,a)),i<=t&&(n=i+1),t<=i&&(a=i-1)}}function SC(e,t,n,a,r){let s=t[t.length-1],[i,o]=[e.length/s,s],l=v.getTypedArrayFromDType(n,i*a),u=v.getTypedArrayFromDType("int32",i*a);for(let d=0;dm[x]={value:y,index:x}),a{for(let g=0;gnew N0,1);var NC=rt(Ci,e=>e>=0?e:Math.exp(e)-1),yq={kernelName:Ci,backendName:"cpu",kernelFunc:NC};function CC(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{alpha:s}=a;ge([r],"leakyRelu");let i=v.sizeFromShape(r.shape),o=n.data.get(r.dataId).values,l=v.getTypedArrayFromDType("float32",i);for(let u=0;ue<0?t*e:e);function _C(e){let{inputs:t,backend:n}=e,{x:a,alpha:r}=t;ge([a,r],"prelu");let s=n.data.get(a.dataId).values,i=n.data.get(r.dataId).values,[o,l]=vq(a.shape,r.shape,s,i,"float32");return n.makeTensorInfo(l,"float32",o)}var wq={kernelName:qi,backendName:"cpu",kernelFunc:_C},EC=rt(Xi,e=>Math.max(0,e)),kq={kernelName:Xi,backendName:"cpu",kernelFunc:EC},AC=rt(Ji,e=>Math.min(Math.max(0,e),6)),Iq={kernelName:Ji,backendName:"cpu",kernelFunc:AC};function Lh(e,t,n,a,r){if(n==="linear")return lr({inputs:{x:t},backend:e});if(n==="relu")return EC({inputs:{x:t},backend:e});if(n==="elu")return NC({inputs:{x:t},backend:e});if(n==="relu6")return AC({inputs:{x:t},backend:e});if(n==="prelu")return _C({inputs:{x:t,alpha:a},backend:e});if(n==="leakyrelu")return CC({inputs:{x:t},backend:e,attrs:{alpha:r}});if(n==="sigmoid")return gC({inputs:{x:t},backend:e});throw new Error(`Activation ${n} has not been implemented for the CPU backend.`)}function ft(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{shape:s}=a,i=v.sizeFromShape(r.shape),o=v.inferFromImplicitShape(s,i),l=v.sizeFromShape(o);v.assert(i===l,()=>`The new shape (${o}) has ${l} elements and the old shape (${r.shape}) has ${i} elements. The new shape and old shape must have the same number of elements.`),n.incRef(r.dataId);let u=n.data.get(r.dataId);if(u.complexTensorInfos!=null){let p=u.complexTensorInfos.real,d=u.complexTensorInfos.imag;p.shape=o,d.shape=o}return{dataId:r.dataId,shape:o,dtype:r.dtype}}var Sq={kernelName:lu,backendName:"cpu",kernelFunc:ft};function $C(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s}=t,{transposeA:i,transposeB:o}=a;ge([r,s],"matMul");let l=r.shape.length,u=s.shape.length,p=i?r.shape[l-2]:r.shape[l-1],d=o?s.shape[u-1]:s.shape[u-2],c=i?r.shape[l-1]:r.shape[l-2],h=o?s.shape[u-2]:s.shape[u-1],m=r.shape.slice(0,-2),f=s.shape.slice(0,-2),g=v.sizeFromShape(m),b=v.sizeFromShape(f),y=Tu.assertAndGetBroadcastShape(r.shape.slice(0,-2),s.shape.slice(0,-2)).concat([c,h]);v.assert(p===d,()=>`Error in matMul: inner shapes (${p}) and (${d}) of Tensors with shapes ${r.shape} and ${s.shape} and transposeA=${i} and transposeB=${o} must match.`);let x=i?[g,p,c]:[g,c,p],w=o?[b,h,d]:[b,d,h],I=ft({inputs:{x:r},backend:n,attrs:{shape:x}}),T=ft({inputs:{x:s},backend:n,attrs:{shape:w}}),C=i?I.shape[1]:I.shape[2],E=i?I.shape[2]:I.shape[1],A=o?T.shape[1]:T.shape[2],R=Math.max(g,b),F=n.data.get(I.dataId).values,S=n.data.get(T.dataId).values,M=v.computeStrides(I.shape),B=v.computeStrides(T.shape),[U,G,q]=i?[M[0],1,M[1]]:[M[0],M[1],1],[K,Z,Q]=o?[1,B[1],B[0]]:[B[1],1,B[0]],ee=E*A,ae=Pe([R,E,A],I.dtype),te=ae.values,le=n.blockSize;for(let ie=0;ieMath.acos(e)),Eq={kernelName:kl,backendName:"cpu",kernelFunc:_q},Aq=rt(Il,e=>Math.acosh(e)),$q={kernelName:Il,backendName:"cpu",kernelFunc:Aq};function Fq(e){let{inputs:t,backend:n}=e,a=t;ge(t,"addN");let r=a.map(o=>n.data.get(o.dataId).values),s=Pe(a[0].shape,a[0].dtype),i=s.values;for(let o=0;oy&&(y=I,x=w)}h[g]=x}return u.forEach(g=>n.disposeIntermediateTensorInfo(g)),n.makeTensorInfo(p,"int32",h)}var zq={kernelName:fi,backendName:"cpu",kernelFunc:Lq};function Wq(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s}=a;ge(r,"argMin");let i=v.parseAxisParam(s,r.shape),o=N.getAxesPermutation(i,r.shape.length),l=r,u=[];o!=null&&(l=Vn({inputs:{x:r},backend:n,attrs:{perm:o}}),u.push(l),i=N.getInnerMostAxes(i.length,l.shape.length)),i=[i[0]],N.assertAxesAreInnerMostDims("argMin",i,l.shape.length);let[p,d]=N.computeOutAndReduceShapes(l.shape,i),c=v.sizeFromShape(p),h=v.makeZerosTypedArray(c,"int32"),m=v.sizeFromShape(d),f=n.data.get(l.dataId).values;for(let g=0;gn.disposeIntermediateTensorInfo(g)),n.makeTensorInfo(p,"int32",h)}var Bq={kernelName:sc,backendName:"cpu",kernelFunc:Wq},Vq=rt(Nl,e=>Math.asin(e)),Uq={kernelName:Nl,backendName:"cpu",kernelFunc:Vq},Gq=rt(Cl,e=>Math.asinh(e)),Hq={kernelName:Cl,backendName:"cpu",kernelFunc:Gq},jq=rt(_l,e=>Math.atan(e)),qq={kernelName:_l,backendName:"cpu",kernelFunc:jq},Kq=Vt((e,t)=>Math.atan2(e,t)),Xq=nn(Al,Kq),Yq={kernelName:Al,backendName:"cpu",kernelFunc:Xq},Zq=rt(El,e=>Math.atanh(e)),Jq={kernelName:El,backendName:"cpu",kernelFunc:Zq};function L0(e,t,n,a,r,s){let i=r.strideHeight,o=r.strideWidth,l=r.dilationHeight,u=r.dilationWidth,p=r.effectiveFilterHeight,d=r.effectiveFilterWidth,c=r.padInfo.top,h=r.padInfo.left,m=s==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,f=Pe(r.outShape,n),g=f.values,b=r.outShape[1]*r.outShape[2]*r.outShape[3],y=r.outShape[2]*r.outShape[3],x=r.outShape[3];for(let w=0;wq?q=ie:s==="avg"&&(K+=ie,Z++)}if(isNaN(q))break}let Q=S+M*x+C;g[Q]=s==="avg"?K/Z:q}}}return f}function FC(e,t,n,a,r=!1,s=!1){let i=Pe(a.outShape,"int32"),o=a.strideHeight,l=a.strideWidth,u=a.dilationHeight,p=a.dilationWidth,d=a.effectiveFilterHeight,c=a.effectiveFilterWidth,h=a.padInfo.top,m=a.padInfo.left,f=Pe(t,n,e);for(let g=0;gR&&(R=G,r?F=s?((g*a.inHeight+S)*a.inWidth+B)*a.inChannels+b:(S*a.inWidth+B)*a.inChannels+b:F=M*c+U)}}i.set(F,g,y,T,b)}}return i}function DC(e,t,n,a,r,s){let i=r.strideDepth,o=r.strideHeight,l=r.strideWidth,u=r.dilationDepth,p=r.dilationHeight,d=r.dilationWidth,c=r.effectiveFilterDepth,h=r.effectiveFilterHeight,m=r.effectiveFilterWidth,f=r.padInfo.front,g=r.padInfo.top,b=r.padInfo.left,y=s==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,x=Pe(r.outShape,n),w=x.values,I=r.outShape[1]*r.outShape[2]*r.outShape[3]*r.outShape[4],T=r.outShape[2]*r.outShape[3]*r.outShape[4],C=r.outShape[3]*r.outShape[4],E=r.outShape[4];for(let A=0;Axe?xe=dt:s==="avg"&&(Ie+=dt,Se++),isNaN(xe))break}if(isNaN(xe))break}if(isNaN(xe))break}let Le=ue+S;w[Le]=s==="avg"?Ie/Se:xe}}}}return x}function Qq(e,t){let n=Pe(t.outShape,"int32"),a=t.strideDepth,r=t.strideHeight,s=t.strideWidth,i=t.dilationDepth,o=t.dilationHeight,l=t.dilationWidth,u=t.effectiveFilterDepth,p=t.effectiveFilterHeight,d=t.effectiveFilterWidth,c=t.padInfo.front,h=t.padInfo.top,m=t.padInfo.left;for(let f=0;f=M&&(M=ee,B=G*p*d+K*p+Q)}}}n.set(B,f,b,I,A,g)}}}return n}function e5(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t;ge(r,"avgPool");let{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=a,u=1;v.assert(N.eitherStridesOrDilationsAreOne(i,u),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${u}'`);let p=N.computePool2DInfo(r.shape,s,i,u,o,l),d;if(p.filterWidth===1&&p.filterHeight===1&&v.arraysEqual(p.inShape,p.outShape))d=lr({inputs:{x:r},backend:n});else{let c=n.data.get(r.dataId).values,h=v.computeStrides(r.shape),m=L0(c,r.shape,r.dtype,h,p,"avg");d=n.makeTensorInfo(p.outShape,r.dtype,m.values)}return d}var t5={kernelName:gi,backendName:"cpu",kernelFunc:e5};function n5(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l,dataFormat:u}=a;ge(r,"avgPool3d");let p=N.computePool3DInfo(r.shape,s,i,1,o,l,u),d=n.data.get(r.dataId).values,c=DC(d,r.shape,r.dtype,v.computeStrides(r.shape),p,"avg");return n.makeTensorInfo(c.shape,"float32",c.values)}var a5={kernelName:ic,backendName:"cpu",kernelFunc:n5};function r5(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,{filterSize:i,strides:o,pad:l,dimRoundingMode:u}=a;ge([r,s],"avgPool3DGrad");let p=N.computePool3DInfo(s.shape,i,o,1,l,u),d=p.strideDepth,c=p.strideHeight,h=p.strideWidth,m=p.filterDepth,f=p.filterHeight,g=p.filterWidth,b=p.dilationDepth,y=p.dilationHeight,x=p.dilationWidth,w=p.effectiveFilterDepth,I=p.effectiveFilterHeight,T=p.effectiveFilterWidth,C=w-1-p.padInfo.front,E=T-1-p.padInfo.left,A=I-1-p.padInfo.top,R=Pe(s.shape,"float32"),F=1/(m*f*g),S=n.bufferSync(r);for(let M=0;M=p.outDepth||Math.floor(te)!==te))for(let le=0;le=p.outHeight||Math.floor(ie)!==ie))for(let be=0;be=p.outWidth||Math.floor(ue)!==ue||(ee+=S.get(M,te,ie,ue,B))}}}R.set(ee*F,M,U,G,q,B)}return n.makeTensorInfo(R.shape,R.dtype,R.values)}var s5={kernelName:Yh,backendName:"cpu",kernelFunc:r5};function i5(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,i=s;ge([r,s],"avgPoolGrad");let{filterSize:o,strides:l,pad:u}=a,p=N.computePool2DInfo(i.shape,o,l,1,u),d=p.strideHeight,c=p.strideWidth,h=p.filterHeight,m=p.filterWidth,f=p.dilationHeight,g=p.dilationWidth,b=p.effectiveFilterHeight,y=p.effectiveFilterWidth,x=y-1-p.padInfo.left,w=b-1-p.padInfo.top,I=Pe(i.shape,"float32"),T=1/(h*m),C=n.data.get(r.dataId).values,E=Pe(r.shape,"float32",C);for(let A=0;A=p.outHeight||Math.floor(q)!==q))for(let K=0;K=p.outWidth||Math.floor(Z)!==Z||(U+=E.get(A,q,Z,R))}}I.set(U*T,A,F,S,R)}return n.makeTensorInfo(I.shape,I.dtype,I.values)}var o5={kernelName:Xh,backendName:"cpu",kernelFunc:i5};function l5(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,scale:s,offset:i,mean:o,variance:l}=t;v.assert(o.shape.length===l.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),v.assert(i==null||o.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),v.assert(s==null||o.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks."),ge([r,o,l,s,i],"batchNorm");let{varianceEpsilon:u}=a;u==null&&(u=.001);let p=n.data.get(r.dataId).values,d=n.data.get(o.dataId).values,c=n.data.get(l.dataId).values,h=s?n.data.get(s.dataId).values:new Float32Array([1]),m=i?n.data.get(i.dataId).values:new Float32Array([0]),f=new Float32Array(p.length),g=m.length,b=h.length,y=c.length,x=d.length,w=0,I=0,T=0,C=0;for(let E=0;E=g&&(w=0),I>=x&&(I=0),T>=b&&(T=0),C>=y&&(C=0);return n.makeTensorInfo(r.shape,r.dtype,f)}var u5={kernelName:$i,backendName:"cpu",kernelFunc:l5};function p5(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockShape:s,crops:i}=a;ge([r],"batchToSpaceND");let o=s.reduce((b,y)=>b*y),l=N.getReshaped(r.shape,s,o),u=N.getPermuted(l.length,s.length),p=N.getReshapedPermuted(r.shape,s,o),d=N.getSliceBeginCoords(i,s.length),c=N.getSliceSize(p,i,s.length),h=ft({inputs:{x:r},backend:n,attrs:{shape:l}}),m=Vn({inputs:{x:h},backend:n,attrs:{perm:u}}),f=ft({inputs:{x:m},backend:n,attrs:{shape:p}}),g=ui({inputs:{x:f},backend:n,attrs:{begin:d,size:c}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(f),g}var c5={kernelName:$l,backendName:"cpu",kernelFunc:p5};function d5(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,weights:s}=t,{size:i}=a,o=n.data.get(r.dataId).values,l=n.data.get(s.dataId).values,u=_0(o,l,s.dtype,s.shape,i);return n.makeTensorInfo([i],s.dtype,u)}var h5={kernelName:Zh,backendName:"cpu",kernelFunc:d5};function m5(e){let{inputs:t,backend:n}=e,{s0:a,s1:r}=t,s=n.data.get(a.dataId).values,i=n.data.get(r.dataId).values,o=N.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return n.makeTensorInfo([o.length],"int32",Int32Array.from(o))}var f5={kernelName:Jh,backendName:"cpu",kernelFunc:m5},g5=rt(ds,(e,t)=>{let n=t;return e>n.clipValueMax?n.clipValueMax:e{let{x:t}=e.inputs,n=e.backend,a=new Float32Array(v.sizeFromShape(t.shape)),r=n.data.get(t.dataId),s=r.complexTensorInfos.real,i=r.complexTensorInfos.imag,o=n.data.get(s.dataId).values,l=n.data.get(i.dataId).values;for(let u=0;uf.shape);N.assertParamsConsistent(i,s);let o=N.computeOutShape(t.map(f=>f.shape),s);if(v.sizeFromShape(o)===0)return n.makeTensorInfo(o,t[0].dtype,[]);let l=t.filter(f=>v.sizeFromShape(f.shape)>0);if(l.length===1)return lr({inputs:{x:l[0]},backend:n});if(l[0].dtype==="complex64"){let f=l.map(w=>li({inputs:{input:w},backend:n})),g=l.map(w=>bl({inputs:{input:w},backend:n})),b=yl({inputs:f,backend:n,attrs:{axis:s}}),y=yl({inputs:g,backend:n,attrs:{axis:s}}),x=Yn({inputs:{real:b,imag:y},backend:n});return f.forEach(w=>n.disposeIntermediateTensorInfo(w)),g.forEach(w=>n.disposeIntermediateTensorInfo(w)),n.disposeIntermediateTensorInfo(b),n.disposeIntermediateTensorInfo(y),x}let u=l.map(f=>{let g=v.sizeFromShape(f.shape.slice(s));return ft({inputs:{x:f},backend:n,attrs:{shape:[-1,g]}})}),p=u.map(f=>({vals:n.data.get(f.dataId).values,shape:f.shape}));o=N.computeOutShape(u.map(f=>f.shape),1);let d=u[0].shape[0]===1,c=E0(p,o,t[0].dtype,d),h=N.computeOutShape(l.map(f=>f.shape),s),m=n.makeTensorInfo(h,t[0].dtype,c);return u.forEach(f=>n.disposeIntermediateTensorInfo(f)),m}var w5={kernelName:Fl,backendName:"cpu",kernelFunc:yl};function RC(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dataFormat:l,dilations:u,dimRoundingMode:p}=a;ge([r,s],"conv2d");let d=N.convertConv2DDataFormat(l),c=N.computeConv2DInfo(r.shape,s.shape,i,u,o,p,!1,d),h=c.filterHeight,m=c.filterWidth,f=c.dilationHeight,g=c.dilationWidth,b=c.padInfo.left,y=c.padInfo.top,x=c.dataFormat==="channelsLast",w=new Ht(c.outShape,r.dtype),I=v.computeStrides(r.shape),T=v.computeStrides(s.shape),C=I[0],E=x?I[1]:I[2],A=x?I[2]:1,R=x?1:I[1],F=w.strides[0],S=x?w.strides[1]:w.strides[2],M=x?w.strides[2]:1,B=x?1:w.strides[1],U=n.data.get(r.dataId).values,G=n.data.get(s.dataId).values,q=w.values;for(let K=0;K=c.inHeight)continue;let be=le*T[0],ue=Z+ie*E;for(let xe=0;xe=c.inWidth)continue;let nt=be+Le*T[1],st=ue+Ve*A,Je=nt;for(let at=0;at=u.inDepth)continue;let K=G*A[0],Z=F+q*E[1];for(let Q=0;Q=u.inHeight)continue;let ie=K+te*A[1],be=Z+le*E[2];for(let ue=0;ue=u.inWidth)continue;let Ve=ie+Se*A[2],nt=be+Le*u.inChannels,st=Ve;for(let Je=0;JeMath.cos(e)),R5={kernelName:ki,backendName:"cpu",kernelFunc:D5},M5=rt(Ii,e=>Math.cosh(e)),P5={kernelName:Ii,backendName:"cpu",kernelFunc:M5};function O5(e){let{inputs:t,backend:n,attrs:a}=e,{image:r,boxes:s,boxInd:i}=t,{cropSize:o,method:l,extrapolationValue:u}=a,[p,d,c,h]=r.shape,m=s.shape[0],[f,g]=o,b=Pe([m,f,g,h],"float32"),y=n.data.get(s.dataId).values,x=n.data.get(i.dataId).values,w=n.data.get(r.dataId).values,I=v.computeStrides(r.shape),T=v.computeStrides(b.shape);for(let C=0;C=p)continue;let B=f>1?(F-A)*(d-1)/(f-1):0,U=g>1?(S-R)*(c-1)/(g-1):0;for(let G=0;G1?A*(d-1)+G*B:.5*(A+F)*(d-1);if(q<0||q>d-1){for(let K=0;K1?R*(c-1)+ee*U:.5*(R+S)*(c-1);if(ae<0||ae>c-1){for(let be=0;be1?R*(c-1)+K*U:.5*(R+S)*(c-1);if(Z<0||Z>c-1){for(let ae=0;aeb+m-y-1:(b,y)=>b+y;for(let b=0;bb+m-y-1:(b,y)=>b+y;for(let b=0;b`Only NHWC dataFormat supported on CPU for depthToSpace. Got ${i}`);let o=r.shape[0],l=r.shape[1],u=r.shape[2],p=r.shape[3],d=l*s,c=u*s,h=p/(s*s),m=n.data.get(r.dataId).values,f=new Float32Array(o*d*c*h),g=0;for(let b=0;b`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${c}'`);let h=N.computeConv2DInfo(r.shape,s.shape,i,c,o,u,!0),{filterHeight:m,filterWidth:f,dilationHeight:g,dilationWidth:b,padInfo:y}=h,x=y.left,w=y.top,I=h.outChannels/h.inChannels,T=new Ht(h.outShape,r.dtype),C=n.data.get(r.dataId).values,E=n.data.get(s.dataId).values,A=T.values;for(let R=0;R=h.inHeight)continue;let K=G*d[0],Z=F+q*p[1];for(let Q=0;Q=h.inWidth)continue;let ie=K+te*d[1],be=Z+le*h.inChannels,ue=ee,xe=ie;for(let Ie=0;Ie{let{x:a,filter:r}=e,{strides:s,pad:i,dilations:o}=n,l=t,u=l.data.get(a.dataId).values,p=a.shape.length,d=l.data.get(r.dataId).values,c=r.shape.length,{batchSize:h,inHeight:m,inWidth:f,inChannels:g,outHeight:b,outWidth:y,padInfo:x,strideHeight:w,strideWidth:I,filterHeight:T,filterWidth:C,dilationHeight:E,dilationWidth:A,outShape:R}=N.computeDilation2DInfo(a.shape,r.shape,s,i,"NHWC",o),F=v.sizeFromShape(R),S=R.length,M=v.getArrayFromDType(a.dtype,F);for(let B=0;B=0&&te=0&&ieQ&&(Q=xe)}}}let ee=v.locToIndex([B,U,q,Z],S,v.computeStrides(R));M[ee]=Q}}}return{dataId:l.write(v.toTypedArray(M,a.dtype),R,a.dtype),shape:R,dtype:a.dtype}}},t8={kernelName:gh,backendName:"cpu",kernelFunc:({inputs:e,backend:t,attrs:n})=>{let{x:a,filter:r,dy:s}=e,{strides:i,pad:o,dilations:l}=n,u=t,p=v.toNestedArray(a.shape,u.data.get(a.dataId).values),d=v.toNestedArray(r.shape,u.data.get(r.dataId).values),{batchSize:c,inHeight:h,inWidth:m,inChannels:f,outHeight:g,outWidth:b,padInfo:y,strideHeight:x,strideWidth:w,filterHeight:I,filterWidth:T,dilationHeight:C,dilationWidth:E,outShape:A}=N.computeDilation2DInfo(a.shape,r.shape,i,o,"NHWC",l);v.assert(s.rank===A.length,()=>`Error in ${gh}, dy must have the same rank as output ${A.length}, but got ${s.rank}`);let R=v.toNestedArray(A,u.data.get(s.dataId).values),F=v.makeZerosNestedTypedArray(r.shape,r.dtype);for(let S=0;S=0&&ae=0&&leK&&(K=ie,Z=ee,Q=te)}}}F[Z][Q][q]+=R[S][M][U][q]}}}return{dataId:u.write(v.toTypedArray(F,a.dtype),r.shape,r.dtype),shape:r.shape,dtype:r.dtype}}},n8={kernelName:fh,backendName:"cpu",kernelFunc:({inputs:e,backend:t,attrs:n})=>{let{x:a,filter:r,dy:s}=e,{strides:i,pad:o,dilations:l}=n,u=t,p=v.toNestedArray(a.shape,u.data.get(a.dataId).values),d=v.toNestedArray(r.shape,u.data.get(r.dataId).values),{batchSize:c,inHeight:h,inWidth:m,inChannels:f,outHeight:g,outWidth:b,padInfo:y,strideHeight:x,strideWidth:w,filterHeight:I,filterWidth:T,dilationHeight:C,dilationWidth:E,outShape:A}=N.computeDilation2DInfo(a.shape,r.shape,i,o,"NHWC",l);v.assert(s.rank===A.length,()=>`Error in ${fh}, dy must have the same rank as output ${A.length}, but got ${s.rank}`);let R=v.toNestedArray(A,u.data.get(s.dataId).values),F=v.makeZerosNestedTypedArray(a.shape,a.dtype);for(let S=0;S=0&&ae=0&&leK&&(K=ie,Z=ae,Q=le)}}}F[S][Z][Q][q]+=R[S][M][U][q]}}}return{dataId:u.write(v.toTypedArray(F,a.dtype),a.shape,a.dtype),shape:a.shape,dtype:a.dtype}}};function Qc(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a;ge(r,"sum");let o;r.dtype==="bool"?o=os({inputs:{x:r},backend:n,attrs:{dtype:"int32"}}):o=lr({inputs:{x:r},backend:n});let l=o.shape.length,u=v.parseAxisParam(s,o.shape),p=N.getAxesPermutation(u,l),d=u,c=o;p!=null&&(c=Vn({inputs:{x:o},backend:n,attrs:{perm:p}}),d=N.getInnerMostAxes(d.length,l)),N.assertAxesAreInnerMostDims("sum",d,c.shape.length);let[h,m]=N.computeOutAndReduceShapes(c.shape,d),f=N.upcastType(c.dtype,"int32"),g=Ph(n,h,f),b=v.sizeFromShape(m),y=n.data.get(g.dataId).values,x=n.data.get(c.dataId).values;for(let w=0;w=0&&(c=Qc({inputs:{x:c},backend:n,attrs:{axis:u[f]-(i.length-h),keepDims:!1}}),m.push(c)),h--)}for(let f of m)f!==c&&n.disposeIntermediateTensorInfo(f);return c}var s8={kernelName:om,backendName:"cpu",kernelFunc:r8};function i8(e){let{inputs:t,backend:n}=e,{dy:a,y:r}=t;ge([a,r],"eluGrad");let s=new Float32Array(v.sizeFromShape(r.shape)),i=n.data.get(r.dataId).values,o=n.data.get(a.dataId).values;for(let l=0;l=1?s[l]=o[l]:s[l]=o[l]*(u+1)}return n.makeTensorInfo(r.shape,"float32",s)}var o8={kernelName:lm,backendName:"cpu",kernelFunc:i8},l8=N.ERF_P,u8=N.ERF_A1,p8=N.ERF_A2,c8=N.ERF_A3,d8=N.ERF_A4,h8=N.ERF_A5,m8=rt(Pl,e=>{let t=Math.sign(e),n=Math.abs(e),a=1/(1+l8*n);return t*(1-((((h8*a+d8)*a+c8)*a+p8)*a+u8)*a*Math.exp(-n*n))}),f8={kernelName:Pl,backendName:"cpu",kernelFunc:m8};function zh(e){let{inputs:t,backend:n,attrs:a}=e,{input:r}=t,{dim:s}=a,i=r.shape.length,o=r.shape.slice(),l=s;return s<0&&(v.assert(-(i+1)<=s,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),l=i+s+1),o.splice(l,0,1),ft({inputs:{x:r},backend:n,attrs:{shape:o}})}var g8={kernelName:Ll,backendName:"cpu",kernelFunc:zh},b8=Vt((e,t)=>e/t),z0=nn(Ni,b8),rx={kernelName:Ni,backendName:"cpu",kernelFunc:z0};function PC(e,t,n){let a=e.shape,r=a[0],s=a[1],i=n.data.get(e.dataId),o=i.complexTensorInfos.real,l=i.complexTensorInfos.imag,u=[r,s],p=v.sizeFromShape(u),d=v.getTypedArrayFromDType("float32",p),c=v.getTypedArrayFromDType("float32",p);for(let g=0;g{let{image:a}=e,r=n,s=v.getTypedArrayFromDType(a.dtype,v.sizeFromShape(a.shape)),[i,o,l,u]=a.shape,p=r.data.get(a.dataId).values;for(let d=0;d=0&&yMath.floor(e/t)),C8=nn(Ai,N8,null,"int32"),_8={kernelName:Ai,backendName:"cpu",kernelFunc:C8};function E8(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dataFormat:p,dilations:d,dimRoundingMode:c,activation:h,leakyreluAlpha:m}=a,f=RC({inputs:{x:r,filter:s},backend:n,attrs:{strides:l,pad:u,dataFormat:p,dilations:d,dimRoundingMode:c}});if(i){let g=f;if(p==="NCHW"&&i.shape.length===1&&i.shape[0]!==1){let b=ft({inputs:{x:i},backend:n,attrs:{shape:[i.shape[0],1,1]}});f=gl({inputs:{a:f,b},backend:n}),n.disposeIntermediateTensorInfo(b)}else f=gl({inputs:{a:f,b:i},backend:n});n.disposeIntermediateTensorInfo(g)}if(h){let g=f;if(p==="NCHW"&&h==="prelu"&&o.shape.length===1&&o.shape[0]!==1){let b=ft({inputs:{x:o},backend:n,attrs:{shape:[o.shape[0],1,1]}});f=Lh(n,f,h,b,m),n.disposeIntermediateTensorInfo(b)}else f=Lh(n,f,h,o,m);n.disposeIntermediateTensorInfo(g)}return f}var A8={kernelName:Qs,backendName:"cpu",kernelFunc:E8};function $8(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dataFormat:p,dilations:d,dimRoundingMode:c,activation:h,leakyreluAlpha:m}=a,f=MC({inputs:{x:r,filter:s},backend:n,attrs:{strides:l,pad:u,dataFormat:p,dilations:d,dimRoundingMode:c}});if(i){let g=f;f=gl({inputs:{a:f,b:i},backend:n}),n.disposeIntermediateTensorInfo(g)}if(h){let g=f;f=Lh(n,f,h,o,m),n.disposeIntermediateTensorInfo(g)}return f}var F8={kernelName:ei,backendName:"cpu",kernelFunc:$8};function D8(e){let{inputs:t,backend:n}=e,{params:a,indices:r}=t,s=v.sizeFromShape(a.shape),i=r.shape,o=i[i.length-1],[l,u,p,d]=N.prepareAndValidate(a,r);if(u===0)return n.makeTensorInfo(l,a.dtype,[]);let c=n.data.get(r.dataId).values,h=n.bufferSync(a),m=J2(c,h,a.dtype,u,o,p,d,a.shape,s);return n.makeTensorInfo(l,a.dtype,m.values)}var R8={kernelName:Vl,backendName:"cpu",kernelFunc:D8};function M8(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,indices:s}=t,{axis:i,batchDims:o}=a;ge([r,s],"gatherV2");let l=v.parseAxisParam(i,r.shape)[0],u=n.data.get(s.dataId).values,p=r.shape[l];for(let w=0;w=0,()=>`GatherV2: the index value ${I} is not in [0, ${p-1}]`)}let d=o;o==null&&(d=0);let c=v.sizeFromShape(s.shape),h=N.segment_util.collectGatherOpShapeInfo(r,s,l,d),m=ft({inputs:{x:r},backend:n,attrs:{shape:[h.batchSize,h.outerSize,h.dimSize,h.sliceSize]}}),f=ft({inputs:{x:s},backend:n,attrs:{shape:[h.batchSize,c/h.batchSize]}}),g=[h.batchSize,h.outerSize,c/h.batchSize,h.sliceSize],b=n.bufferSync(f),y=n.bufferSync(m),x=Q2(y,b,g);return n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(f),n.makeTensorInfo(h.outputShape,x.dtype,x.values)}var P8={kernelName:Bl,backendName:"cpu",kernelFunc:M8};function O8(e){let{inputs:t,backend:n}=e,{input:a}=t,r=v.sizeFromShape(a.shape),s=a.shape[a.shape.length-1],i=r/s,o=ft({inputs:{x:a},backend:n,attrs:{shape:[i,s]}}),l=PC(o,!0,n),u=ft({inputs:{x:l},backend:n,attrs:{shape:a.shape}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(l),u}var L8={kernelName:pm,backendName:"cpu",kernelFunc:O8},z8=rt(Gl,e=>Number.isFinite(e)?1:0,"bool"),W8={kernelName:Gl,backendName:"cpu",kernelFunc:z8},B8=rt(Hl,e=>Math.abs(e)===1/0?1:0,"bool"),V8={kernelName:Hl,backendName:"cpu",kernelFunc:B8},U8=rt(jl,e=>Number.isNaN(e)?1:0,"bool"),G8={kernelName:jl,backendName:"cpu",kernelFunc:U8};function H8(e){let{backend:t,attrs:n}=e,{start:a,stop:r,num:s}=n,i=rC(a,r,s);return t.makeTensorInfo([i.length],"float32",i)}var j8={kernelName:dm,backendName:"cpu",kernelFunc:H8},q8=rt(Xl,e=>Math.log1p(e)),K8={kernelName:Xl,backendName:"cpu",kernelFunc:q8},X8=Vt((e,t)=>e&&t),Y8=nn(Yl,X8,null,"bool"),Z8={kernelName:Yl,backendName:"cpu",kernelFunc:Y8},J8=rt(Zl,e=>e?0:1,"bool"),Q8={kernelName:Zl,backendName:"cpu",kernelFunc:J8},eK=Vt((e,t)=>e||t),tK=nn(Jl,eK,null,"bool"),nK={kernelName:Jl,backendName:"cpu",kernelFunc:tK};function aK(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{depthRadius:s,bias:i,alpha:o,beta:l}=a;ge(r,"LRN");let u=r.shape[3],p=u-1,d=n.data.get(r.dataId).values,c=v.sizeFromShape(r.shape),h=new Float32Array(c);function m(f){let g=f%u,b=f-g+Math.max(0,g-s),y=f-g+Math.min(g+s,p),x=0;for(;b<=y;b++){let w=d[b];x+=w*w}return x}for(let f=0;f`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${u}'`);let p=N.computePool2DInfo(r.shape,s,i,u,o,l),d;if(p.filterWidth===1&&p.filterHeight===1&&v.arraysEqual(p.inShape,p.outShape))d=lr({inputs:{x:r},backend:n});else{let c=n.data.get(r.dataId).values,h=v.computeStrides(r.shape),m=L0(c,r.shape,r.dtype,h,p,"max");d=n.makeTensorInfo(p.outShape,r.dtype,m.values)}return d}var uK={kernelName:Li,backendName:"cpu",kernelFunc:lK};function pK(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l,dataFormat:u}=a;ge(r,"maxPool3d");let p=N.computePool3DInfo(r.shape,s,i,1,o,l,u),d=n.data.get(r.dataId).values,c=DC(d,r.shape,r.dtype,v.computeStrides(r.shape),p,"max");return n.makeTensorInfo(c.shape,"float32",c.values)}var cK={kernelName:dc,backendName:"cpu",kernelFunc:pK};function dK(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,{filterSize:i,strides:o,pad:l,dimRoundingMode:u}=a;ge([r,s],"maxPool3DGrad");let p=N.computePool3DInfo(s.shape,i,o,1,l,u),d=n.bufferSync(s),c=Qq(d,p),h=p.strideDepth,m=p.strideHeight,f=p.strideWidth,g=p.dilationDepth,b=p.dilationHeight,y=p.dilationWidth,x=p.effectiveFilterDepth,w=p.effectiveFilterHeight,I=p.effectiveFilterWidth,T=x-1-p.padInfo.front,C=I-1-p.padInfo.left,E=w-1-p.padInfo.top,A=Pe(s.shape,"float32"),R=n.bufferSync(r);for(let F=0;F=p.outDepth||Math.floor(ee)!==ee))for(let ae=0;ae=p.outHeight||Math.floor(te)!==te))for(let le=0;le=p.outWidth||Math.floor(ie)!==ie)continue;let be=x*w*I-1-c.get(F,ee,te,ie,S),ue=Q*w*I+ae*I+le,xe=be===ue?1:0;xe!==0&&(Z+=R.get(F,ee,te,ie,S)*xe)}}}A.set(Z,F,M,B,U,S)}return n.makeTensorInfo(A.shape,A.dtype,A.values)}var hK={kernelName:fm,backendName:"cpu",kernelFunc:dK};function mK(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s,output:i}=t,o=s;ge([s,i],"maxPoolGrad");let{filterSize:l,strides:u,pad:p,dimRoundingMode:d}=a,c=N.computePool2DInfo(o.shape,l,u,1,p,d),h=n.data.get(o.dataId).values,m=Pe(c.outShape,o.dtype,FC(h,o.shape,o.dtype,c).values),f=c.strideHeight,g=c.strideWidth,b=c.dilationHeight,y=c.dilationWidth,x=c.effectiveFilterHeight,w=c.effectiveFilterWidth,I=w-1-c.padInfo.left,T=x-1-c.padInfo.top,C=Pe(o.shape,"float32"),E=n.data.get(r.dataId).values,A=Pe(r.shape,"float32",E);for(let R=0;R=c.outHeight||Math.floor(K)!==K))for(let Z=0;Z=c.outWidth||Math.floor(Q)!==Q)continue;let ee=x*w-1-m.get(R,K,Q,F),ae=q*w+Z,te=ee===ae?1:0;te!==0&&(G+=A.get(R,K,Q,F)*te)}}C.set(G,R,S,M,F)}return n.makeTensorInfo(C.shape,C.dtype,C.values)}var fK={kernelName:mm,backendName:"cpu",kernelFunc:mK};function gK(e,t,n,a,r){let s=v.computeStrides(t),i=L0(e,t,n,s,r,"max"),o=FC(e,t,n,r,!0,a);return[i.values,o.values]}var bK={kernelName:gm,backendName:"cpu",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:a}=e,{filterSize:r,strides:s,pad:i,includeBatchInIndex:o}=t,l=n;ge(a,"MaxPoolWithArgmax");let u=l.data.get(a.dataId).values,p=N.computePool2DInfo(a.shape,r,s,[1,1],i),[d,c]=gK(u,a.shape,a.dtype,o,p),h=l.write(d,p.outShape,a.dtype),m=l.write(c,p.outShape,a.dtype);return[{dataId:h,shape:p.outShape,dtype:a.dtype},{dataId:m,shape:p.outShape,dtype:"int32"}]}};function yK(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=v.parseAxisParam(s,r.shape),l=N.computeOutAndReduceShapes(r.shape,o)[1],u=v.sizeFromShape(l),p=[],d=n.makeTensorInfo([],"float32",new Float32Array([u]));p.push(d);let c=os({inputs:{x:r},backend:n,attrs:{dtype:"float32"}});p.push(c);let h=z0({inputs:{a:c,b:d},backend:n});p.push(h);let m=Qc({inputs:{x:h},backend:n,attrs:{axis:s,keepDims:i}});return p.forEach(f=>n.disposeIntermediateTensorInfo(f)),m}var xK={kernelName:zi,backendName:"cpu",kernelFunc:yK};function vK(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a;ge(r,"min");let o=v.parseAxisParam(s,r.shape),l=o,u=N.getAxesPermutation(l,r.shape.length),p=r;u!=null&&(p=Vn({inputs:{x:r},backend:n,attrs:{perm:u}}),l=N.getInnerMostAxes(l.length,r.shape.length)),N.assertAxesAreInnerMostDims("min",l,p.shape.length);let[d,c]=N.computeOutAndReduceShapes(p.shape,l),h=v.sizeFromShape(c),m=v.makeZerosTypedArray(v.sizeFromShape(d),p.dtype),f=n.data.get(p.dataId).values;for(let b=0;by[0]+r.shape[x]+y[1]),l=s.map(y=>y[0]),u=s.map((y,x)=>y[0]+r.shape[x]),p=i==="reflect"?0:1,d=n.data.get(r.dataId).values,c=r.shape.length,h=v.computeStrides(r.shape),m=v.sizeFromShape(o),f=o.length,g=v.computeStrides(o),b=v.getTypedArrayFromDType(r.dtype,m);for(let y=0;y=u[I]&&(x[I]=(u[I]-1)*2-x[I]+p);x=x.map((I,T)=>I-l[T]);let w=v.locToIndex(x,c,h);b[y]=d[w]}return{dataId:n.write(b,o,r.dtype),shape:o,dtype:r.dtype}}var IK={kernelName:Vi,backendName:"cpu",kernelFunc:kK},SK=Vt((e,t)=>{let n=e%t;return e<0&&t<0||e>=0&&t>=0?n:(n+t)%t}),TK=nn(Ql,SK),NK={kernelName:Ql,backendName:"cpu",kernelFunc:TK},CK=us(Hh());function LC(e){let{inputs:t,backend:n,attrs:a}=e,{logits:r}=t,{dim:s}=a,i=r.shape.length,o=s;if(o===-1&&(o=i-1),o!==i-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${i} and dim was ${o}`);let l=v.parseAxisParam([o],r.shape),u=OC({inputs:{x:r},backend:n,attrs:{reductionIndices:l,keepDims:!1}}),p=N.expandShapeToKeepDim(u.shape,l),d=ft({inputs:{x:u},backend:n,attrs:{shape:p}}),c=O0({inputs:{a:r,b:d},backend:n}),h=X2({inputs:{x:c},backend:n}),m=Qc({inputs:{x:h},backend:n,attrs:{axis:l,keepDims:!1}}),f=ft({inputs:{x:m},backend:n,attrs:{shape:p}}),g=z0({inputs:{a:h,b:f},backend:n});return n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(f),g}var _K={kernelName:io,backendName:"cpu",kernelFunc:LC};function EK(e){let{inputs:t,backend:n,attrs:a}=e,{logits:r}=t,{numSamples:s,seed:i,normalized:o}=a;ge(r,"multinomial");let l=o?r:LC({inputs:{logits:r},backend:n,attrs:{dim:-1}}),u=l.shape[0],p=l.shape[1],d=n.data.get(l.dataId).values,c=[u,s],h=v.makeZerosTypedArray(v.sizeFromShape(c),"int32");for(let m=0;m=0&&d[c]{v.assertShapesMatch(s,p.shape,"All tensors passed to stack must have matching shapes"),v.assert(i===p.dtype,()=>"All tensors passed to stack must have matching dtypes")});let o=[],l=t.map(p=>{let d=zh({inputs:{input:p},backend:n,attrs:{dim:r}});return o.push(d),d}),u=yl({inputs:l,backend:n,attrs:{axis:r}});return o.forEach(p=>n.disposeIntermediateTensorInfo(p)),u}var GK={kernelName:iu,backendName:"cpu",kernelFunc:WC};function HK(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{paddings:s,constantValue:i}=a;ge(r,"pad");let o=s.map((b,y)=>b[0]+r.shape[y]+b[1]),l=s.map(b=>b[0]),u=n.data.get(r.dataId).values,p=v.sizeFromShape(r.shape),d=r.shape.length,c=v.computeStrides(r.shape),h=v.sizeFromShape(o),m=o.length,f=v.computeStrides(o),g=v.getTypedArrayFromDType(r.dtype,h);i!==0&&g.fill(i);for(let b=0;bw+l[I]),x=v.locToIndex(y,m,f);g[x]=u[b]}return{dataId:n.write(g,o,r.dtype),shape:o,dtype:r.dtype}}var BC={kernelName:Hi,backendName:"cpu",kernelFunc:HK},jK=Vt((e,t)=>Math.pow(e,t)),qK=nn(ji,jK),KK={kernelName:ji,backendName:"cpu",kernelFunc:qK};function XK(e){let{inputs:t,backend:n,attrs:a}=e,{paramsNestedSplits:r,paramsDenseValues:s,indices:i}=t,{outputRaggedRank:o}=a,l=r.map(b=>n.data.get(b.dataId).values),u=r.map(b=>b.shape),p=n.data.get(s.dataId).values,d=n.data.get(i.dataId).values,[c,h,m]=dC(l,u,p,s.shape,s.dtype,d,i.shape,o),f=c.map(b=>n.makeTensorInfo([b.length],"int32",b)),g=n.makeTensorInfo(m,s.dtype,h);return f.concat([g])}var YK={kernelName:ym,backendName:"cpu",kernelFunc:XK};function ZK(e){let{inputs:t,backend:n}=e,{starts:a,limits:r,deltas:s}=t,i=n.data.get(a.dataId).values,o=n.data.get(r.dataId).values,l=n.data.get(s.dataId).values,[u,p]=hC(i,a.shape,a.dtype,o,r.shape,l,s.shape),d=n.makeTensorInfo([u.length],"int32",u),c=n.makeTensorInfo([p.length],a.dtype,p);return[d,c]}var JK={kernelName:xm,backendName:"cpu",kernelFunc:ZK};function QK(e){let{inputs:t,backend:n,attrs:a}=e,{shape:r,values:s,defaultValue:i,rowPartitionTensors:o}=t,{rowPartitionTypes:l}=a,u=n.data.get(r.dataId).values,p=n.data.get(s.dataId).values,d=n.data.get(i.dataId).values,c=o.map(g=>n.data.get(g.dataId).values),h=o.map(g=>g.shape),[m,f]=mC(u,r.shape,p,s.shape,s.dtype,d,i.shape,c,h,l);return n.makeTensorInfo(m,s.dtype,f)}var eX={kernelName:vm,backendName:"cpu",kernelFunc:QK};function tX(e){let{backend:t,attrs:n}=e,{start:a,stop:r,dtype:s,step:i}=n,o=F0(a,r,i,s);return t.makeTensorInfo([o.length],s,o)}var nX={kernelName:hc,backendName:"cpu",kernelFunc:tX},aX=rt(ou,e=>1/e),rX={kernelName:ou,backendName:"cpu",kernelFunc:aX};function sX(e){let{inputs:t,backend:n,attrs:a}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=a;ge(r,"resizeBilinear");let l=v.computeStrides(r.shape),[u,p]=o,[d,c,h,m]=r.shape,f=n.data.get(r.dataId).values,g=new Float32Array(v.sizeFromShape([d,u,p,m])),b=[s&&u>1?c-1:c,s&&p>1?h-1:h],y=[s&&u>1?u-1:u,s&&p>1?p-1:p],x=0,w=b[0]/y[0],I=b[1]/y[1];for(let T=0;T1?u-1:u,i&&h>1?p-1:p],g=[i&&c>1?c-1:c,i&&h>1?h-1:h],b=f[0]/g[0],y=f[1]/g[1],x=n.data.get(s.dataId).values,w=0;for(let I=0;I1?c-1:c,s&&p>1?h-1:h],y=[s&&u>1?u-1:u,s&&p>1?p-1:p],x=b[0]/y[0],w=b[1]/y[1],I=0;for(let T=0;T1?p-1:p,i&&m>1?d-1:d],y=[i&&h>1?h-1:h,i&&m>1?m-1:m],x=b[0]/y[0],w=b[1]/y[1],I=1/x,T=1/w,C=Math.ceil(I)*2+2,E=Math.ceil(T)*2+2;for(let A=0;A=h)continue;let te=R+ae*l[1],le=ae*x,ie=Math.min(p-1,i?Math.round(le):Math.floor(le));if(F===ie)for(let be=0;be=m)continue;let xe=te+ue*l[2],Ie=ue*w,Se=Math.min(d-1,i?Math.round(Ie):Math.floor(Ie));U===Se&&(Q+=g[xe+Z])}}f[G+Z]=Q}}}}return n.makeTensorInfo(r.shape,r.dtype,f)}var dX={kernelName:km,backendName:"cpu",kernelFunc:cX};function hX(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dims:s}=a;ge(r,"reverse");let i=r.shape.length,o=v.parseAxisParam(s,r.shape);if(i===0)return lr({inputs:{x:r},backend:n});let l=new Ht(r.shape,r.dtype),u=n.bufferSync(r);for(let p=0;pc[h]=r.shape[h]-1-c[h]),l.set(u.get(...c),...d)}return n.makeTensorInfo(l.shape,l.dtype,l.values)}var mX={kernelName:Qi,backendName:"cpu",kernelFunc:hX},fX={kernelName:Su,backendName:"cpu",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{image:a}=e,{radians:r,fillValue:s,center:i}=t,o=n,l=v.getTypedArrayFromDType(a.dtype,v.sizeFromShape(a.shape)),[u,p,d,c]=a.shape,[h,m]=N.getImageCenter(i,p,d),f=255,g=Math.sin(r),b=Math.cos(r),y=o.data.get(a.dataId).values;for(let x=0;x=0&&M=0&&B{let t=Math.floor(e);return e-t<.5?Math.floor(e):e-t>.5?Math.ceil(e):t%2===0?t:t+1}),bX={kernelName:eo,backendName:"cpu",kernelFunc:gX};function yX(e){let{inputs:t,backend:n,attrs:a}=e,{indices:r,updates:s}=t,{shape:i}=a,{sliceRank:o,numUpdates:l,sliceSize:u,strides:p,outputSize:d}=N.calculateShapes(s,r,i),c=!0,h=n.bufferSync(r),m=n.bufferSync(s),f=Yo(h,m,i,d,u,l,o,p,0,c);return n.makeTensorInfo(i,f.dtype,f.values)}var xX={kernelName:uu,backendName:"cpu",kernelFunc:yX};function vX(e,t){let n=0,a=e.length,r=0;for(;n1||r.shape.length===1?1:v.sizeFromShape(r.shape.slice(1));for(let m=0;me>=0?_X*e:CX*(Math.exp(e)-1)),AX={kernelName:cu,backendName:"cpu",kernelFunc:EX},$X=rt(mu,e=>e<0?-1:e>0?1:0),FX={kernelName:mu,backendName:"cpu",kernelFunc:$X},DX=rt(no,e=>Math.sin(e)),RX={kernelName:no,backendName:"cpu",kernelFunc:DX},MX=rt(hu,e=>Math.sinh(e)),PX={kernelName:hu,backendName:"cpu",kernelFunc:MX},OX=11920928955078125e-23,Uk=Math.log(OX)+2,LX=rt(fu,e=>{let t=e>-Uk,n=eNumber(g)))),n.makeTensorInfo([f.length],a.dtype,new Int32Array(f))]}var EX={kernelName:dc,backendName:"cpu",kernelFunc:_X};function AX(e){let{inputs:t,backend:n}=e,{inputIndices:a,inputShape:r,newShape:s}=t;if(a.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape + ${i.shape}`);let o=n.data.get(a.dataId).values,l=n.data.get(r.dataId).values,u=n.data.get(s.dataId).values,p=n.data.get(i.dataId).values[0],[d,c,h,m,f]=bC(o,a.shape,a.dtype,l,r.dtype,u,p);return[n.makeTensorInfo(c,a.dtype,d),n.makeTensorInfo([c[0]],r.dtype,h),n.makeTensorInfo([m.length],"bool",new Uint8Array(m.map(g=>Number(g)))),n.makeTensorInfo([f.length],a.dtype,new Int32Array(f))]}var UX={kernelName:mc,backendName:"cpu",kernelFunc:VX};function GX(e){let{inputs:t,backend:n}=e,{inputIndices:a,inputShape:r,newShape:s}=t;if(a.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape ${a.shape}`);if(r.shape.length!==1)throw new Error(`Input shape should be a vector but received shape - ${r.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=Array.from(n.data.get(r.dataId).values),o=n.data.get(a.dataId).values,l=Array.from(n.data.get(s.dataId).values),[u,p,d]=pC(o,a.shape,a.dtype,i,l);return[n.makeTensorInfo(p,a.dtype,u),n.makeTensorInfo([d.length],s.dtype,new Int32Array(d))]}var $X={kernelName:gu,backendName:"cpu",kernelFunc:AX};function FX(e){let{inputs:t,backend:n}=e,{data:a,indices:r,segmentIds:s}=t;if(a.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape + ${r.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=Array.from(n.data.get(r.dataId).values),o=n.data.get(a.dataId).values,l=Array.from(n.data.get(s.dataId).values),[u,p,d]=yC(o,a.shape,a.dtype,i,l);return[n.makeTensorInfo(p,a.dtype,u),n.makeTensorInfo([d.length],s.dtype,new Int32Array(d))]}var HX={kernelName:yu,backendName:"cpu",kernelFunc:GX};function jX(e){let{inputs:t,backend:n}=e,{data:a,indices:r,segmentIds:s}=t;if(a.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape ${r.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape - ${s.shape}`);if(r.shape[0]!==s.shape[0])throw new Error("segmentIds and indices should have same size.");let i=n.data.get(a.dataId).values,o=n.data.get(r.dataId).values,l=n.data.get(s.dataId).values,[u,p]=E0(i,a.shape,a.dtype,o,l,!0);return n.makeTensorInfo(p,a.dtype,u)}var DX={kernelName:hc,backendName:"cpu",kernelFunc:FX};function RX(e){let{inputs:t,backend:n}=e,{data:a,indices:r,segmentIds:s}=t;if(a.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape + ${s.shape}`);if(r.shape[0]!==s.shape[0])throw new Error("segmentIds and indices should have same size.");let i=n.data.get(a.dataId).values,o=n.data.get(r.dataId).values,l=n.data.get(s.dataId).values,[u,p]=D0(i,a.shape,a.dtype,o,l,!0);return n.makeTensorInfo(p,a.dtype,u)}var qX={kernelName:fc,backendName:"cpu",kernelFunc:jX};function KX(e){let{inputs:t,backend:n}=e,{data:a,indices:r,segmentIds:s}=t;if(a.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape ${r.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape - ${s.shape}`);if(r.shape[0]!==s.shape[0])throw new Error("segmentIds and indices should have same size.");let i=n.data.get(a.dataId).values,o=n.data.get(r.dataId).values,l=n.data.get(s.dataId).values,[u,p]=E0(i,a.shape,a.dtype,o,l);return n.makeTensorInfo(p,a.dtype,u)}var MX={kernelName:mc,backendName:"cpu",kernelFunc:RX};function PX(e){let{inputs:t,backend:n,attrs:a}=e,{sparseIndices:r,sparseValues:s,defaultValue:i}=t,{outputShape:o}=a,{sliceRank:l,numUpdates:u,sliceSize:p,strides:d,outputSize:c}=N.calculateShapes(s,r,o),h=!1,m=n.bufferSync(r),f;switch(s.dtype){case"bool":{let g=n.bufferSync(s),b=Boolean(n.data.get(i.dataId).values[0]);f=Xo(m,g,o,c,p,u,l,d,b,h);break}case"float32":{let g=n.bufferSync(s),b=n.data.get(i.dataId).values[0];f=Xo(m,g,o,c,p,u,l,d,b,h);break}case"int32":{let g=n.bufferSync(s),b=n.data.get(i.dataId).values[0];f=Xo(m,g,o,c,p,u,l,d,b,h);break}case"string":{let g=n.bufferSync(s),b=v.decodeString(n.data.get(i.dataId).values[0]);f=Xo(m,g,o,c,p,u,l,d,b,h);break}default:throw new Error(`Unsupported type ${s.dtype}`)}return n.makeTensorInfo(o,f.dtype,f.values)}var OX={kernelName:Im,backendName:"cpu",kernelFunc:PX};function LX(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=a,o=v.parseAxisParam(i,r.shape)[0],l=N.prepareSplitSize(r,s,o),u=new Array(r.shape.length).fill(0),p=r.shape.slice();return l.map(d=>{let c=[...p];c[o]=d;let h=ui({inputs:{x:r},backend:n,attrs:{begin:u,size:c}});return u[o]+=d,h})}var zX={kernelName:fu,backendName:"cpu",kernelFunc:LX},BX={kernelName:fc,backendName:"cpu",kernelFunc:({inputs:e,backend:t})=>{let{x:n}=e,a=t;ge(n,"square");let r=a.data.get(n.dataId).values,s=new Float32Array(r.length);for(let i=0;i{let n=t;return isNaN(e)?NaN:e>0?1:n.alpha}),VX={kernelName:hs,backendName:"cpu",kernelFunc:WX};function UX(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:p,newAxisMask:d,shrinkAxisMask:c}=a;ge(r,"stridedSlice");let{finalShapeSparse:h,finalShape:m,isIdentity:f,sliceDim0:g,isSimpleSlice:b,begin:y,end:x,strides:w}=jt.sliceInfo(r.shape,s,i,o,l,u,p,d,c),I;if(f)I=ft({inputs:{x:r},backend:n,attrs:{shape:m}});else if(g||b){v.assert(r.shape.length>=1,()=>`Input must have rank at least 1, got: ${r.shape.length}`);let T=jt.computeOutShape(y,x,w),C=ui({inputs:{x:r},backend:n,attrs:{begin:y,size:T}});I=ft({inputs:{x:C},backend:n,attrs:{shape:m}}),n.disposeIntermediateTensorInfo(C)}else{let T=n.bufferSync(r),C=dC(h,T,w,y);I=n.makeTensorInfo(m,C.dtype,C.values)}return I}var GX={kernelName:bu,backendName:"cpu",kernelFunc:UX};function HX(e){let{inputs:t,backend:n,attrs:a}=e,{separator:r,nGramWidths:s,leftPad:i,rightPad:o,padWidth:l,preserveShortSequences:u}=a,{data:p,dataSplits:d}=t,c=n.data.get(p.dataId).values,h=n.data.get(d.dataId).values,[m,f]=A0(c,h,r,s,i,o,l,u);return[n.makeTensorInfo([m.length],"string",m),n.makeTensorInfo(d.shape,"int32",f)]}var jX={kernelName:gc,backendName:"cpu",kernelFunc:HX};function qX(e){let{inputs:t,backend:n,attrs:a}=e,{skipEmpty:r}=a,{input:s,delimiter:i}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(i.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${i.shape}`);let o=n.data.get(s.dataId).values,l=n.data.get(i.dataId).values[0],[u,p,d]=$0(o,l,r),c=p.length;return[n.makeTensorInfo([c,2],"int32",u),n.makeTensorInfo([c],"string",p),n.makeTensorInfo([2],"int32",new Int32Array(d))]}var KX={kernelName:bc,backendName:"cpu",kernelFunc:qX};function XX(e){let{inputs:t,backend:n,attrs:a}=e,{numBuckets:r}=a,{input:s}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(r<=0)throw new Error("Number of buckets must be at least 1");let i=n.data.get(s.dataId).values,o=F0(i,r);return n.makeTensorInfo(s.shape,"int32",o)}var YX={kernelName:yc,backendName:"cpu",kernelFunc:XX},ZX=rt(uo,e=>Math.tan(e)),JX={kernelName:uo,backendName:"cpu",kernelFunc:ZX},QX=rt(po,e=>Math.tanh(e)),eY={kernelName:po,backendName:"cpu",kernelFunc:QX};function tY(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{reps:s}=a;ge(r,"tile");let i=mC(n.bufferSync(r),s);return n.makeTensorInfo(i.shape,i.dtype,i.values)}var nY={kernelName:ds,backendName:"cpu",kernelFunc:tY};function aY(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{k:s,sorted:i}=a;ge(r,"topk");let o=n.data.get(r.dataId).values,[l,u]=gC(o,r.shape,r.dtype,s,i);return[n.makeTensorInfo(l.shape,l.dtype,l.values),n.makeTensorInfo(u.shape,u.dtype,u.values)]}var rY={kernelName:yu,backendName:"cpu",kernelFunc:aY};function sY(e){let{inputs:t,attrs:n,backend:a}=e,{image:r,transforms:s}=t,{interpolation:i,fillMode:o,fillValue:l,outputShape:u}=n,[p,d,c,h]=r.shape,[m,f]=u!=null?u:[d,c],g=[p,m,f,h],b=v.computeStrides(r.shape),y=b[0],x=b[1],w=b[2],I=v.computeStrides(g),T=I[0],C=I[1],E=I[2],A=v.getTypedArrayFromDType(r.dtype,v.sizeFromShape(g));A.fill(l);let R=a.data.get(r.dataId).values,F=a.data.get(s.dataId).values;for(let S=0;St-1)if(t<=1)n=0;else{let a=2*t;n-=a*Math.trunc(n/a),n>=t&&(n=a-n-1)}return v.clamp(0,n,t-1)}function lY(e,t){let n=e;if(n<0)if(t<=1)n=0;else{let a=t-1;n+=t*(Math.trunc(-n/a)+1)}else if(n>t-1)if(t<=1)n=0;else{let a=t-1;n-=t*Math.trunc(n/a)}return v.clamp(0,n,t-1)}function uY(e,t){return e}function pY(e,t){return v.clamp(0,e,t-1)}function Ap(e,t,n,a,r,s,i,o,l,u,p){let d=i*a+o*r+l*s+u;return 0<=o&&on.disposeIntermediateTensorInfo(m)),h}var yY={kernelName:xc,backendName:"cpu",kernelFunc:bY},xY=[fq,nj,bq,xq,lj,wq,Iq,Tq,Cq,Eq,$q,Dq,Mq,Lq,Bq,Uq,Hq,qq,Xq,hq,Zq,Qq,t5,a5,ij,pj,s5,aj,o5,u5,p5,d5,m5,g5,y5,v5,k5,S5,N5,_5,A5,F5,R5,M5,O5,z5,W5,V5,U5,G5,q5,iq,X5,cj,a8,dj,r8,mj,p8,c8,h8,gj,g8,y8,v8,k8,S8,yj,vj,rj,N8,l5,_8,A8,F8,oq,kj,Sj,R8,Nj,P8,z8,W8,G8,j8,K8,X8,_j,Z8,Q8,tK,aK,sK,oK,uK,Aj,cK,mK,yK,Fj,Rj,wK,SK,CK,Pj,EK,$K,FK,DC,PK,uq,zj,LK,BK,VK,sj,nx,GK,pq,cq,dq,jK,KK,YK,JK,eX,tX,aX,qj,sX,pX,dX,gX,Xj,yX,vX,kX,Yj,gK,TX,CX,EX,$X,DX,MX,OX,zX,Qj,BX,tq,VX,GX,jX,KX,YX,sq,H5,JX,eY,nY,rY,iY,Oj,mY,gY,yY,AK];for(let e of xY)vc(e);var RC={};_e(RC,{assertNotComplex:()=>Pu,bindCanvasToFramebuffer:()=>AY,bindColorTextureToFramebuffer:()=>ih,bindTextureToProgramUniformSampler:()=>YC,bindTextureUnit:()=>qC,bindVertexBufferToProgramAttribute:()=>rx,callAndCheck:()=>me,canBeRepresented:()=>PC,createFragmentShader:()=>zC,createFramebuffer:()=>jC,createProgram:()=>BC,createStaticIndexBuffer:()=>UC,createStaticVertexBuffer:()=>VC,createTexture:()=>GC,createVertexShader:()=>LC,getBatchDim:()=>pi,getExtensionOrThrow:()=>$p,getFramebufferErrorMessage:()=>ZC,getMaxTexturesInShader:()=>t_,getNumChannels:()=>_Y,getProgramUniformLocation:()=>XC,getProgramUniformLocationOrThrow:()=>KC,getRowsCols:()=>ci,getShapeAs3D:()=>oh,getTextureShapeFromLogicalShape:()=>QC,getWebGLDisjointQueryTimerVersion:()=>n_,getWebGLErrorMessage:()=>OC,getWebGLMaxTextureSize:()=>e_,hasExtension:()=>ca,isCapableOfRenderingToFloatTexture:()=>a_,isDownloadFloatTextureEnabled:()=>r_,isReshapeFree:()=>Zp,isWebGLFenceEnabled:()=>s_,isWebGLVersionEnabled:()=>ix,linkProgram:()=>WC,logShaderSourceAndInfoLog:()=>L0,resetMaxTextureSize:()=>$Y,resetMaxTexturesInShader:()=>FY,unbindColorTextureFromFramebuffer:()=>sx,unbindTextureUnit:()=>EY,validateFramebuffer:()=>Fp,validateProgram:()=>sh,validateTextureSize:()=>HC});var Us={},Jd={alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0};function MC(e,t){Us[e]=t}function Ha(e,t){if(!(e in Us)||t!=null){let a=wY(e,t);if(a!==null)Us[e]=a;else return console.log("Could not get context for WebGL version",e),null}let n=Us[e];return n==null||n.isContextLost()?(delete Us[e],Ha(e)):(n.disable(n.DEPTH_TEST),n.disable(n.STENCIL_TEST),n.disable(n.BLEND),n.disable(n.DITHER),n.disable(n.POLYGON_OFFSET_FILL),n.disable(n.SAMPLE_COVERAGE),n.enable(n.SCISSOR_TEST),n.enable(n.CULL_FACE),n.cullFace(n.BACK),Us[e])}function vY(e){if(typeof OffscreenCanvas!="undefined"&&e===2)return new OffscreenCanvas(300,150);if(typeof document!="undefined")return document.createElement("canvas");throw new Error("Cannot create a canvas in this context")}function wY(e,t){if(e!==1&&e!==2)throw new Error("Cannot get WebGL rendering context, WebGL is disabled.");let n=t==null?vY(e):t;return n.addEventListener("webglcontextlost",a=>{a.preventDefault(),delete Us[e]},!1),H().getBool("SOFTWARE_WEBGL_ENABLED")&&(Jd.failIfMajorPerformanceCaveat=!1),e===1?n.getContext("webgl",Jd)||n.getContext("experimental-webgl",Jd):n.getContext("webgl2",Jd)}var Yp;(function(e){e[e.DENSE=0]="DENSE",e[e.SHARED_BATCH=1]="SHARED_BATCH"})(Yp||(Yp={}));var pa;(function(e){e[e.RENDER=0]="RENDER",e[e.UPLOAD=1]="UPLOAD",e[e.PIXELS=2]="PIXELS",e[e.DOWNLOAD=3]="DOWNLOAD"})(pa||(pa={}));var sn;(function(e){e[e.UNPACKED_FLOAT16=0]="UNPACKED_FLOAT16",e[e.UNPACKED_FLOAT32=1]="UNPACKED_FLOAT32",e[e.PACKED_4X1_UNSIGNED_BYTE=2]="PACKED_4X1_UNSIGNED_BYTE",e[e.PACKED_2X2_FLOAT32=3]="PACKED_2X2_FLOAT32",e[e.PACKED_2X2_FLOAT16=4]="PACKED_2X2_FLOAT16"})(sn||(sn={}));function Qc(e,t){return[t,e]}function kY(e,t){return e*t}function Qd(e){let t=v.sizeFromShape(e),n=Math.ceil(t/4);return v.sizeToSquarishShape(n)}function Mu(e,t){return[Math.max(1,Math.ceil(t/2)),Math.max(1,Math.ceil(e/2))]}function IY(e,t){let[n,a]=Mu(e,t);return n*a*4}function O0(e,t){let n=e,a,r,s,i,o,l,u,p,d,c;return H().getNumber("WEBGL_VERSION")===2?(a=n.R32F,r=n.R16F,s=n.RGBA16F,i=n.RGBA32F,o=n.RED,u=4,p=1,d=n.HALF_FLOAT,c=n.FLOAT,l=n.RGBA8):(a=e.RGBA,r=e.RGBA,s=e.RGBA,i=n.RGBA,o=e.RGBA,u=4,p=4,d=t!=null?t.HALF_FLOAT_OES:null,c=e.FLOAT,l=e.RGBA),{internalFormatFloat:a,internalFormatHalfFloat:r,internalFormatPackedHalfFloat:s,internalFormatPackedFloat:i,textureFormatFloat:o,downloadTextureFormat:l,downloadUnpackNumChannels:u,defaultNumChannels:p,textureTypeHalfFloat:d,textureTypeFloat:c}}function me(e,t){let n=t();return H().getBool("DEBUG")&&SY(e),n}function SY(e){let t=e.getError();if(t!==e.NO_ERROR)throw new Error("WebGL Error: "+OC(e,t))}var TY=596e-10,NY=65504;function PC(e){return!!(H().getBool("WEBGL_RENDER_FLOAT32_ENABLED")||e===0||TYe.getExtension(t),'Extension "'+t+'" not supported on this browser.')}function LC(e,t){let n=$r(e,()=>e.createShader(e.VERTEX_SHADER),"Unable to create vertex WebGLShader.");if(me(e,()=>e.shaderSource(n,t)),me(e,()=>e.compileShader(n)),e.getShaderParameter(n,e.COMPILE_STATUS)===!1)throw console.log(e.getShaderInfoLog(n)),new Error("Failed to compile vertex shader.");return n}function zC(e,t){let n=$r(e,()=>e.createShader(e.FRAGMENT_SHADER),"Unable to create fragment WebGLShader.");if(me(e,()=>e.shaderSource(n,t)),me(e,()=>e.compileShader(n)),H().get("ENGINE_COMPILE_ONLY"))return n;if(e.getShaderParameter(n,e.COMPILE_STATUS)===!1)throw L0(t,e.getShaderInfoLog(n)),new Error("Failed to compile fragment shader.");return n}var CY=/ERROR: [0-9]+:([0-9]+):/g;function L0(e,t){let n=CY.exec(t);if(n==null){console.log(`Couldn't parse line number in error: ${t}`),console.log(e);return}let a=+n[1],r=e.split(` + ${s.shape}`);if(r.shape[0]!==s.shape[0])throw new Error("segmentIds and indices should have same size.");let i=n.data.get(a.dataId).values,o=n.data.get(r.dataId).values,l=n.data.get(s.dataId).values,[u,p]=D0(i,a.shape,a.dtype,o,l);return n.makeTensorInfo(p,a.dtype,u)}var XX={kernelName:gc,backendName:"cpu",kernelFunc:KX};function YX(e){let{inputs:t,backend:n,attrs:a}=e,{sparseIndices:r,sparseValues:s,defaultValue:i}=t,{outputShape:o}=a,{sliceRank:l,numUpdates:u,sliceSize:p,strides:d,outputSize:c}=N.calculateShapes(s,r,o),h=!1,m=n.bufferSync(r),f;switch(s.dtype){case"bool":{let g=n.bufferSync(s),b=Boolean(n.data.get(i.dataId).values[0]);f=Yo(m,g,o,c,p,u,l,d,b,h);break}case"float32":{let g=n.bufferSync(s),b=n.data.get(i.dataId).values[0];f=Yo(m,g,o,c,p,u,l,d,b,h);break}case"int32":{let g=n.bufferSync(s),b=n.data.get(i.dataId).values[0];f=Yo(m,g,o,c,p,u,l,d,b,h);break}case"string":{let g=n.bufferSync(s),b=v.decodeString(n.data.get(i.dataId).values[0]);f=Yo(m,g,o,c,p,u,l,d,b,h);break}default:throw new Error(`Unsupported type ${s.dtype}`)}return n.makeTensorInfo(o,f.dtype,f.values)}var ZX={kernelName:Tm,backendName:"cpu",kernelFunc:YX};function JX(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=a,o=v.parseAxisParam(i,r.shape)[0],l=N.prepareSplitSize(r,s,o),u=new Array(r.shape.length).fill(0),p=r.shape.slice();return l.map(d=>{let c=[...p];c[o]=d;let h=ui({inputs:{x:r},backend:n,attrs:{begin:u,size:c}});return u[o]+=d,h})}var QX={kernelName:bu,backendName:"cpu",kernelFunc:JX},eY={kernelName:bc,backendName:"cpu",kernelFunc:({inputs:e,backend:t})=>{let{x:n}=e,a=t;ge(n,"square");let r=a.data.get(n.dataId).values,s=new Float32Array(r.length);for(let i=0;i{let n=t;return isNaN(e)?NaN:e>0?1:n.alpha}),nY={kernelName:ms,backendName:"cpu",kernelFunc:tY};function aY(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:p,newAxisMask:d,shrinkAxisMask:c}=a;ge(r,"stridedSlice");let{finalShapeSparse:h,finalShape:m,isIdentity:f,sliceDim0:g,isSimpleSlice:b,begin:y,end:x,strides:w}=jt.sliceInfo(r.shape,s,i,o,l,u,p,d,c),I;if(f)I=ft({inputs:{x:r},backend:n,attrs:{shape:m}});else if(g||b){v.assert(r.shape.length>=1,()=>`Input must have rank at least 1, got: ${r.shape.length}`);let T=jt.computeOutShape(y,x,w),C=ui({inputs:{x:r},backend:n,attrs:{begin:y,size:T}});I=ft({inputs:{x:C},backend:n,attrs:{shape:m}}),n.disposeIntermediateTensorInfo(C)}else{let T=n.bufferSync(r),C=vC(h,T,w,y);I=n.makeTensorInfo(m,C.dtype,C.values)}return I}var rY={kernelName:xu,backendName:"cpu",kernelFunc:aY};function sY(e){let{inputs:t,backend:n,attrs:a}=e,{separator:r,nGramWidths:s,leftPad:i,rightPad:o,padWidth:l,preserveShortSequences:u}=a,{data:p,dataSplits:d}=t,c=n.data.get(p.dataId).values,h=n.data.get(d.dataId).values,[m,f]=R0(c,h,r,s,i,o,l,u);return[n.makeTensorInfo([m.length],"string",m),n.makeTensorInfo(d.shape,"int32",f)]}var iY={kernelName:yc,backendName:"cpu",kernelFunc:sY};function oY(e){let{inputs:t,backend:n,attrs:a}=e,{skipEmpty:r}=a,{input:s,delimiter:i}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(i.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${i.shape}`);let o=n.data.get(s.dataId).values,l=n.data.get(i.dataId).values[0],[u,p,d]=M0(o,l,r),c=p.length;return[n.makeTensorInfo([c,2],"int32",u),n.makeTensorInfo([c],"string",p),n.makeTensorInfo([2],"int32",new Int32Array(d))]}var lY={kernelName:xc,backendName:"cpu",kernelFunc:oY};function uY(e){let{inputs:t,backend:n,attrs:a}=e,{numBuckets:r}=a,{input:s}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(r<=0)throw new Error("Number of buckets must be at least 1");let i=n.data.get(s.dataId).values,o=P0(i,r);return n.makeTensorInfo(s.shape,"int32",o)}var pY={kernelName:vc,backendName:"cpu",kernelFunc:uY},cY=rt(uo,e=>Math.tan(e)),dY={kernelName:uo,backendName:"cpu",kernelFunc:cY},hY=rt(po,e=>Math.tanh(e)),mY={kernelName:po,backendName:"cpu",kernelFunc:hY};function fY(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{reps:s}=a;ge(r,"tile");let i=kC(n.bufferSync(r),s);return n.makeTensorInfo(i.shape,i.dtype,i.values)}var gY={kernelName:hs,backendName:"cpu",kernelFunc:fY};function bY(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{k:s,sorted:i}=a;ge(r,"topk");let o=n.data.get(r.dataId).values,[l,u]=SC(o,r.shape,r.dtype,s,i);return[n.makeTensorInfo(l.shape,l.dtype,l.values),n.makeTensorInfo(u.shape,u.dtype,u.values)]}var yY={kernelName:vu,backendName:"cpu",kernelFunc:bY};function xY(e){let{inputs:t,attrs:n,backend:a}=e,{image:r,transforms:s}=t,{interpolation:i,fillMode:o,fillValue:l,outputShape:u}=n,[p,d,c,h]=r.shape,[m,f]=u!=null?u:[d,c],g=[p,m,f,h],b=v.computeStrides(r.shape),y=b[0],x=b[1],w=b[2],I=v.computeStrides(g),T=I[0],C=I[1],E=I[2],A=v.getTypedArrayFromDType(r.dtype,v.sizeFromShape(g));A.fill(l);let R=a.data.get(r.dataId).values,F=a.data.get(s.dataId).values;for(let S=0;St-1)if(t<=1)n=0;else{let a=2*t;n-=a*Math.trunc(n/a),n>=t&&(n=a-n-1)}return v.clamp(0,n,t-1)}function kY(e,t){let n=e;if(n<0)if(t<=1)n=0;else{let a=t-1;n+=t*(Math.trunc(-n/a)+1)}else if(n>t-1)if(t<=1)n=0;else{let a=t-1;n-=t*Math.trunc(n/a)}return v.clamp(0,n,t-1)}function IY(e,t){return e}function SY(e,t){return v.clamp(0,e,t-1)}function Fp(e,t,n,a,r,s,i,o,l,u,p){let d=i*a+o*r+l*s+u;return 0<=o&&on.disposeIntermediateTensorInfo(m)),h}var FY={kernelName:wc,backendName:"cpu",kernelFunc:$Y},DY=[Cq,mj,Eq,$q,vj,Dq,Mq,Oq,zq,Bq,Uq,Hq,qq,Yq,Jq,t5,a5,s5,o5,Tq,u5,c5,h5,f5,yj,kj,b5,fj,x5,w5,k5,S5,N5,_5,A5,F5,R5,P5,L5,W5,V5,G5,j5,q5,X5,Z5,Q5,e8,t8,n8,s8,yq,o8,Ij,f8,Sj,g8,Nj,k8,I8,T8,_j,_8,A8,F8,R8,P8,Aj,Fj,gj,L8,v5,W8,V8,G8,xq,Rj,Pj,j8,Lj,K8,Z8,Q8,nK,rK,iK,oK,Wj,uK,cK,hK,fK,bK,xK,wK,Vj,IK,NK,AK,Gj,jj,DK,PK,zK,Kj,BK,UK,GK,BC,KK,wq,Zj,YK,JK,eX,nX,bj,rx,rX,kq,Iq,Sq,iX,lX,pX,dX,mX,fX,bX,sq,xX,SX,NX,AX,oq,FX,RX,PX,lq,_K,zX,BX,UX,HX,qX,XX,ZX,QX,cq,eY,hq,nY,rY,iY,lY,pY,bq,a8,dY,mY,gY,yY,vY,Xj,_Y,AY,FY,VK];for(let e of DY)kc(e);var VC={};Ae(VC,{assertNotComplex:()=>Lu,bindCanvasToFramebuffer:()=>GY,bindColorTextureToFramebuffer:()=>oh,bindTextureToProgramUniformSampler:()=>r_,bindTextureUnit:()=>t_,bindVertexBufferToProgramAttribute:()=>ix,callAndCheck:()=>me,canBeRepresented:()=>GC,createFragmentShader:()=>qC,createFramebuffer:()=>e_,createProgram:()=>KC,createStaticIndexBuffer:()=>ZC,createStaticVertexBuffer:()=>YC,createTexture:()=>JC,createVertexShader:()=>jC,getBatchDim:()=>pi,getExtensionOrThrow:()=>Dp,getFramebufferErrorMessage:()=>s_,getMaxTexturesInShader:()=>u_,getNumChannels:()=>VY,getProgramUniformLocation:()=>a_,getProgramUniformLocationOrThrow:()=>n_,getRowsCols:()=>ci,getShapeAs3D:()=>Mp,getTextureShapeFromLogicalShape:()=>o_,getWebGLDisjointQueryTimerVersion:()=>p_,getWebGLErrorMessage:()=>HC,getWebGLMaxTextureSize:()=>l_,hasExtension:()=>ca,isCapableOfRenderingToFloatTexture:()=>c_,isDownloadFloatTextureEnabled:()=>d_,isReshapeFree:()=>Qp,isWebGLFenceEnabled:()=>h_,isWebGLVersionEnabled:()=>lx,linkProgram:()=>XC,logShaderSourceAndInfoLog:()=>V0,resetMaxTextureSize:()=>HY,resetMaxTexturesInShader:()=>jY,unbindColorTextureFromFramebuffer:()=>ox,unbindTextureUnit:()=>UY,validateFramebuffer:()=>Rp,validateProgram:()=>ih,validateTextureSize:()=>QC});var Us={},Qd={alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0};function UC(e,t){Us[e]=t}function qa(e,t){if(!(e in Us)||t!=null){let a=MY(e,t);if(a!==null)Us[e]=a;else return console.log("Could not get context for WebGL version",e),null}let n=Us[e];return n==null||n.isContextLost()?(delete Us[e],qa(e)):(n.disable(n.DEPTH_TEST),n.disable(n.STENCIL_TEST),n.disable(n.BLEND),n.disable(n.DITHER),n.disable(n.POLYGON_OFFSET_FILL),n.disable(n.SAMPLE_COVERAGE),n.enable(n.SCISSOR_TEST),n.enable(n.CULL_FACE),n.cullFace(n.BACK),Us[e])}function RY(e){if(typeof OffscreenCanvas!="undefined"&&e===2)return new OffscreenCanvas(300,150);if(typeof document!="undefined")return document.createElement("canvas");throw new Error("Cannot create a canvas in this context")}function MY(e,t){if(e!==1&&e!==2)throw new Error("Cannot get WebGL rendering context, WebGL is disabled.");let n=t==null?RY(e):t;return n.addEventListener("webglcontextlost",a=>{a.preventDefault(),delete Us[e]},!1),H().getBool("SOFTWARE_WEBGL_ENABLED")&&(Qd.failIfMajorPerformanceCaveat=!1),e===1?n.getContext("webgl",Qd)||n.getContext("experimental-webgl",Qd):n.getContext("webgl2",Qd)}var Jp;(function(e){e[e.DENSE=0]="DENSE",e[e.SHARED_BATCH=1]="SHARED_BATCH"})(Jp||(Jp={}));var pa;(function(e){e[e.RENDER=0]="RENDER",e[e.UPLOAD=1]="UPLOAD",e[e.PIXELS=2]="PIXELS",e[e.DOWNLOAD=3]="DOWNLOAD"})(pa||(pa={}));var on;(function(e){e[e.UNPACKED_FLOAT16=0]="UNPACKED_FLOAT16",e[e.UNPACKED_FLOAT32=1]="UNPACKED_FLOAT32",e[e.PACKED_4X1_UNSIGNED_BYTE=2]="PACKED_4X1_UNSIGNED_BYTE",e[e.PACKED_2X2_FLOAT32=3]="PACKED_2X2_FLOAT32",e[e.PACKED_2X2_FLOAT16=4]="PACKED_2X2_FLOAT16"})(on||(on={}));function ed(e,t){return[t,e]}function PY(e,t){return e*t}function eh(e){let t=v.sizeFromShape(e),n=Math.ceil(t/4);return v.sizeToSquarishShape(n)}function Ou(e,t){return[Math.max(1,Math.ceil(t/2)),Math.max(1,Math.ceil(e/2))]}function OY(e,t){let[n,a]=Ou(e,t);return n*a*4}function B0(e,t){let n=e,a,r,s,i,o,l,u,p,d,c;return H().getNumber("WEBGL_VERSION")===2?(a=n.R32F,r=n.R16F,s=n.RGBA16F,i=n.RGBA32F,o=n.RED,u=4,p=1,d=n.HALF_FLOAT,c=n.FLOAT,l=n.RGBA8):(a=e.RGBA,r=e.RGBA,s=e.RGBA,i=n.RGBA,o=e.RGBA,u=4,p=4,d=t!=null?t.HALF_FLOAT_OES:null,c=e.FLOAT,l=e.RGBA),{internalFormatFloat:a,internalFormatHalfFloat:r,internalFormatPackedHalfFloat:s,internalFormatPackedFloat:i,textureFormatFloat:o,downloadTextureFormat:l,downloadUnpackNumChannels:u,defaultNumChannels:p,textureTypeHalfFloat:d,textureTypeFloat:c}}function me(e,t){let n=t();return H().getBool("DEBUG")&&LY(e),n}function LY(e){let t=e.getError();if(t!==e.NO_ERROR)throw new Error("WebGL Error: "+HC(e,t))}var zY=596e-10,WY=65504;function GC(e){return!!(H().getBool("WEBGL_RENDER_FLOAT32_ENABLED")||e===0||zYe.getExtension(t),'Extension "'+t+'" not supported on this browser.')}function jC(e,t){let n=Fr(e,()=>e.createShader(e.VERTEX_SHADER),"Unable to create vertex WebGLShader.");if(me(e,()=>e.shaderSource(n,t)),me(e,()=>e.compileShader(n)),e.getShaderParameter(n,e.COMPILE_STATUS)===!1)throw console.log(e.getShaderInfoLog(n)),new Error("Failed to compile vertex shader.");return n}function qC(e,t){let n=Fr(e,()=>e.createShader(e.FRAGMENT_SHADER),"Unable to create fragment WebGLShader.");if(me(e,()=>e.shaderSource(n,t)),me(e,()=>e.compileShader(n)),H().get("ENGINE_COMPILE_ONLY"))return n;if(e.getShaderParameter(n,e.COMPILE_STATUS)===!1)throw V0(t,e.getShaderInfoLog(n)),new Error("Failed to compile fragment shader.");return n}var BY=/ERROR: [0-9]+:([0-9]+):/g;function V0(e,t){let n=BY.exec(t);if(n==null){console.log(`Couldn't parse line number in error: ${t}`),console.log(e);return}let a=+n[1],r=e.split(` `),s=r.length.toString().length+2,i=r.map((d,c)=>v.rightPad((c+1).toString(),s)+d),o=0;for(let d=0;de.createProgram(),"Unable to create WebGLProgram.")}function WC(e,t){if(me(e,()=>e.linkProgram(t)),!H().get("ENGINE_COMPILE_ONLY")&&e.getProgramParameter(t,e.LINK_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Failed to link vertex and fragment shaders.")}function sh(e,t){if(me(e,()=>e.validateProgram(t)),e.getProgramParameter(t,e.VALIDATE_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Shader program validation failed.")}function VC(e,t){let n=$r(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return me(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),me(e,()=>e.bufferData(e.ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function UC(e,t){let n=$r(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return me(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,n)),me(e,()=>e.bufferData(e.ELEMENT_ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function _Y(){return H().getNumber("WEBGL_VERSION")===2?1:4}function GC(e){return $r(e,()=>e.createTexture(),"Unable to create WebGLTexture.")}function HC(e,t){let n=H().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(e<=0||t<=0){let a=`[${e}x${t}]`;throw new Error("Requested texture size "+a+" is invalid.")}if(e>n||t>n){let a=`[${e}x${t}]`,r=`[${n}x${n}]`;throw new Error("Requested texture size "+a+" greater than WebGL maximum on this browser / GPU "+r+".")}}function jC(e){return $r(e,()=>e.createFramebuffer(),"Unable to create WebGLFramebuffer.")}function rx(e,t,n,a,r,s,i){let o=e.getAttribLocation(t,n);return o===-1?!1:(me(e,()=>e.bindBuffer(e.ARRAY_BUFFER,a)),me(e,()=>e.vertexAttribPointer(o,r,e.FLOAT,!1,s,i)),me(e,()=>e.enableVertexAttribArray(o)),!0)}function qC(e,t,n){JC(e,n),me(e,()=>e.activeTexture(e.TEXTURE0+n)),me(e,()=>e.bindTexture(e.TEXTURE_2D,t))}function EY(e,t){JC(e,t),me(e,()=>e.activeTexture(e.TEXTURE0+t)),me(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function KC(e,t,n){return $r(e,()=>e.getUniformLocation(t,n),'uniform "'+n+'" not present in program.')}function XC(e,t,n){return e.getUniformLocation(t,n)}function YC(e,t,n,a){me(e,()=>qC(e,t,a)),me(e,()=>e.uniform1i(n,a))}function AY(e){me(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,null)),me(e,()=>e.viewport(0,0,e.canvas.width,e.canvas.height)),me(e,()=>e.scissor(0,0,e.canvas.width,e.canvas.height))}function ih(e,t,n){me(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,n)),me(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0))}function sx(e,t){me(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,t)),me(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,null,0))}function Fp(e){let t=e.checkFramebufferStatus(e.FRAMEBUFFER);if(t!==e.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+ZC(e,t))}function ZC(e,t){switch(t){case e.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_ATTACHMENT";case e.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT";case e.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return"FRAMEBUFFER_INCOMPLETE_DIMENSIONS";case e.FRAMEBUFFER_UNSUPPORTED:return"FRAMEBUFFER_UNSUPPORTED";default:return`unknown error ${t}`}}function $r(e,t,n){let a=me(e,()=>t());if(a==null)throw new Error(n);return a}function JC(e,t){let n=e.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,a=t+e.TEXTURE0;if(an){let r=`[gl.TEXTURE0, gl.TEXTURE${n}]`;throw new Error(`textureUnit must be in ${r}.`)}}function pi(e,t=2){return v.sizeFromShape(e.slice(0,e.length-t))}function ci(e){if(e.length===0)throw Error("Cannot get rows and columns of an empty shape array.");return[e.length>1?e[e.length-2]:1,e[e.length-1]]}function oh(e){let t=[1,1,1];return e.length===0||e.length===1&&e[0]===1||(t=[pi(e),...ci(e)]),t}function QC(e,t=!1){let n=H().getNumber("WEBGL_MAX_TEXTURE_SIZE"),a=H().getNumber("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE");a===1/0&&H().getBool("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE")&&(a=n/2),t&&(n=n*2,a=a*2,e=e.map((o,l)=>l>=e.length-2?v.nearestLargerEven(e[l]):e[l]),e.length===1&&(e=[2,e[0]])),e.length!==2&&(e=v.squeezeShape(e).newShape);let r=v.sizeFromShape(e),s=null;e.length<=1&&r<=n?s=[1,r]:e.length===2&&e[0]<=n&&e[1]<=n?s=e:e.length===3&&e[0]*e[1]<=n&&e[2]<=n?s=[e[0]*e[1],e[2]]:e.length===3&&e[0]<=n&&e[1]*e[2]<=n?s=[e[0],e[1]*e[2]]:e.length===4&&e[0]*e[1]*e[2]<=n&&e[3]<=n?s=[e[0]*e[1]*e[2],e[3]]:e.length===4&&e[0]<=n&&e[1]*e[2]*e[3]<=n&&(s=[e[0],e[1]*e[2]*e[3]]);let i=s!=null&&Math.max(...s)>a&&Math.min(...s)<=(t?2:1)&&Math.min(...s)>0;if(s==null||i)if(t){let o=pi(e),l=2,u=2;e.length&&([l,u]=ci(e)),r=o*(l/2)*(u/2),s=v.sizeToSquarishShape(r).map(p=>p*2)}else s=v.sizeToSquarishShape(r);return s}function eh(e){return e%2===0}function Zp(e,t){if(e=e.slice(-2),t=t.slice(-2),v.arraysEqual(e,t)||!e.length||!t.length||e[0]===0||e[1]===0||t[0]===0||t[1]===0)return!0;if(e.length!==t.length){let n=e.slice(-1)[0],a=t.slice(-1)[0];if(n===a||eh(n)&&eh(a)&&(e[0]===1||t[0]===1))return!0}return e[1]===t[1]&&eh(e[0])&&eh(t[0])}var lh,uh;function e_(e){if(lh==null){let t=Ha(e);lh=t.getParameter(t.MAX_TEXTURE_SIZE)}return lh}function $Y(){lh=null}function FY(){uh=null}function t_(e){if(uh==null){let t=Ha(e);uh=t.getParameter(t.MAX_TEXTURE_IMAGE_UNITS)}return Math.min(16,uh)}function n_(e){if(e===0)return 0;let t,n=Ha(e);return ca(n,"EXT_disjoint_timer_query_webgl2")&&e===2?t=2:ca(n,"EXT_disjoint_timer_query")?t=1:t=0,t}function ca(e,t){return e.getExtension(t)!=null}function ix(e){try{if(Ha(e)!=null)return!0}catch(t){return console.log("Error when getting WebGL context: ",t),!1}return!1}function a_(e){if(e===0)return!1;let t=Ha(e);if(e===1){if(!ca(t,"OES_texture_float"))return!1}else if(!ca(t,"EXT_color_buffer_float"))return!1;return ox(t)}function r_(e){if(e===0)return!1;let t=Ha(e);if(e===1){if(!ca(t,"OES_texture_float")||!ca(t,"WEBGL_color_buffer_float"))return!1}else{if(ca(t,"EXT_color_buffer_float"))return ox(t);let n="EXT_color_buffer_half_float";if(ca(t,n)){let a=t.getExtension(n);return DY(t,a)}return!1}return ox(t)}function ox(e){let t=O0(e),n=e.createTexture();e.bindTexture(e.TEXTURE_2D,n);let a=1,r=1;e.texImage2D(e.TEXTURE_2D,0,t.internalFormatFloat,a,r,0,t.textureFormatFloat,t.textureTypeFloat,null);let s=e.createFramebuffer();e.bindFramebuffer(e.FRAMEBUFFER,s),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,n,0);let i=e.checkFramebufferStatus(e.FRAMEBUFFER)===e.FRAMEBUFFER_COMPLETE;return e.bindTexture(e.TEXTURE_2D,null),e.bindFramebuffer(e.FRAMEBUFFER,null),e.deleteTexture(n),e.deleteFramebuffer(s),i}function DY(e,t){let n=O0(e,t),a=e.createTexture();e.bindTexture(e.TEXTURE_2D,a);let r=1,s=1;e.texImage2D(e.TEXTURE_2D,0,n.internalFormatHalfFloat,r,s,0,n.textureFormatFloat,n.textureTypeHalfFloat,null);let i=e.createFramebuffer();e.bindFramebuffer(e.FRAMEBUFFER,i),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,a,0);let o=e.checkFramebufferStatus(e.FRAMEBUFFER)===e.FRAMEBUFFER_COMPLETE;return e.bindTexture(e.TEXTURE_2D,null),e.bindFramebuffer(e.FRAMEBUFFER,null),e.deleteTexture(a),e.deleteFramebuffer(i),o}function s_(e){return e!==2?!1:Ha(e).fenceSync!=null}function Pu(e,t){Array.isArray(e)||(e=[e]),e.forEach(n=>{n!=null&&v.assert(n.dtype!=="complex64",()=>`${t} does not support complex64 tensors in the WebGL backend.`)})}var ve=H();ve.registerFlag("HAS_WEBGL",()=>ve.getNumber("WEBGL_VERSION")>0);ve.registerFlag("WEBGL_VERSION",()=>ix(2)?2:ix(1)?1:0);ve.registerFlag("WEBGL_CHECK_NUMERICAL_PROBLEMS",()=>!1);ve.registerFlag("WEBGL_BUFFER_SUPPORTED",()=>ve.get("WEBGL_VERSION")===2);ve.registerFlag("WEBGL_CPU_FORWARD",()=>!0);ve.registerFlag("WEBGL_FORCE_F16_TEXTURES",()=>!1);ve.registerFlag("WEBGL_PACK",()=>ve.getBool("HAS_WEBGL"));ve.registerFlag("WEBGL_PACK_NORMALIZATION",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_CLIP",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_DEPTHWISECONV",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_BINARY_OPERATIONS",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_UNARY_OPERATIONS",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_ARRAY_OPERATIONS",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_IMAGE_OPERATIONS",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_REDUCE",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_LAZILY_UNPACK",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_CONV_IM2COL",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_MAX_TEXTURE_SIZE",()=>e_(ve.getNumber("WEBGL_VERSION")));ve.registerFlag("WEBGL_MAX_TEXTURES_IN_SHADER",()=>t_(ve.getNumber("WEBGL_VERSION")));ve.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION",()=>{let e=ve.getNumber("WEBGL_VERSION");return e===0?0:n_(e)});ve.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE",()=>ve.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0&&!Ic.isMobile());ve.registerFlag("WEBGL_RENDER_FLOAT32_CAPABLE",()=>a_(ve.getNumber("WEBGL_VERSION")));ve.registerFlag("WEBGL_RENDER_FLOAT32_ENABLED",()=>ve.getBool("WEBGL_FORCE_F16_TEXTURES")?!1:ve.getBool("WEBGL_RENDER_FLOAT32_CAPABLE"));ve.registerFlag("WEBGL_DOWNLOAD_FLOAT_ENABLED",()=>r_(ve.getNumber("WEBGL_VERSION")));ve.registerFlag("WEBGL_FENCE_API_ENABLED",()=>s_(ve.getNumber("WEBGL_VERSION")));ve.registerFlag("WEBGL_SIZE_UPLOAD_UNIFORM",()=>ve.getBool("WEBGL_RENDER_FLOAT32_ENABLED")?4:0);ve.registerFlag("WEBGL_DELETE_TEXTURE_THRESHOLD",()=>-1,e=>{if(e<0&&e!==-1)throw new Error(`WEBGL_DELETE_TEXTURE_THRESHOLD must be -1 (indicating never delete) or at least 0, but got ${e}.`)});ve.registerFlag("WEBGL_FLUSH_THRESHOLD",()=>Ic.isMobile()?1:-1,e=>{if(e<0&&e!==-1)throw new Error(`WEBGL_FLUSH_THRESHOLD must be -1 (indicating never manual flush) or at least 0, but got ${e}.`)});ve.registerFlag("CPU_HANDOFF_SIZE_THRESHOLD",()=>128);ve.registerFlag("WEBGL_USE_SHAPES_UNIFORMS",()=>!1);ve.registerFlag("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD",()=>1e5);ve.registerFlag("TOPK_K_CPU_HANDOFF_THRESHOLD",()=>128);ve.registerFlag("WEBGL_EXP_CONV",()=>!1);ve.registerFlag("SOFTWARE_WEBGL_ENABLED",()=>ve.getBool("IS_TEST"));ve.registerFlag("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE",()=>1/0);ve.registerFlag("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE",()=>!1);ve.registerFlag("WEBGL2_ISNAN_CUSTOM",()=>!1);function Tn(){let e,t,n,a,r,s,i,o,l,u;return H().getNumber("WEBGL_VERSION")===2?(e="#version 300 es",t="in",n="out",a="in",r="texture",s="outputColor",i="out vec4 outputColor;",o=H().getBool("WEBGL2_ISNAN_CUSTOM")?` +`))}function KC(e){return Fr(e,()=>e.createProgram(),"Unable to create WebGLProgram.")}function XC(e,t){if(me(e,()=>e.linkProgram(t)),!H().get("ENGINE_COMPILE_ONLY")&&e.getProgramParameter(t,e.LINK_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Failed to link vertex and fragment shaders.")}function ih(e,t){if(me(e,()=>e.validateProgram(t)),e.getProgramParameter(t,e.VALIDATE_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Shader program validation failed.")}function YC(e,t){let n=Fr(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return me(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),me(e,()=>e.bufferData(e.ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function ZC(e,t){let n=Fr(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return me(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,n)),me(e,()=>e.bufferData(e.ELEMENT_ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function VY(){return H().getNumber("WEBGL_VERSION")===2?1:4}function JC(e){return Fr(e,()=>e.createTexture(),"Unable to create WebGLTexture.")}function QC(e,t){let n=H().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(e<=0||t<=0){let a=`[${e}x${t}]`;throw new Error("Requested texture size "+a+" is invalid.")}if(e>n||t>n){let a=`[${e}x${t}]`,r=`[${n}x${n}]`;throw new Error("Requested texture size "+a+" greater than WebGL maximum on this browser / GPU "+r+".")}}function e_(e){return Fr(e,()=>e.createFramebuffer(),"Unable to create WebGLFramebuffer.")}function ix(e,t,n,a,r,s,i){let o=e.getAttribLocation(t,n);return o===-1?!1:(me(e,()=>e.bindBuffer(e.ARRAY_BUFFER,a)),me(e,()=>e.vertexAttribPointer(o,r,e.FLOAT,!1,s,i)),me(e,()=>e.enableVertexAttribArray(o)),!0)}function t_(e,t,n){i_(e,n),me(e,()=>e.activeTexture(e.TEXTURE0+n)),me(e,()=>e.bindTexture(e.TEXTURE_2D,t))}function UY(e,t){i_(e,t),me(e,()=>e.activeTexture(e.TEXTURE0+t)),me(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function n_(e,t,n){return Fr(e,()=>e.getUniformLocation(t,n),'uniform "'+n+'" not present in program.')}function a_(e,t,n){return e.getUniformLocation(t,n)}function r_(e,t,n,a){me(e,()=>t_(e,t,a)),me(e,()=>e.uniform1i(n,a))}function GY(e){me(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,null)),me(e,()=>e.viewport(0,0,e.canvas.width,e.canvas.height)),me(e,()=>e.scissor(0,0,e.canvas.width,e.canvas.height))}function oh(e,t,n){me(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,n)),me(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0))}function ox(e,t){me(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,t)),me(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,null,0))}function Rp(e){let t=e.checkFramebufferStatus(e.FRAMEBUFFER);if(t!==e.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+s_(e,t))}function s_(e,t){switch(t){case e.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_ATTACHMENT";case e.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT";case e.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return"FRAMEBUFFER_INCOMPLETE_DIMENSIONS";case e.FRAMEBUFFER_UNSUPPORTED:return"FRAMEBUFFER_UNSUPPORTED";default:return`unknown error ${t}`}}function Fr(e,t,n){let a=me(e,()=>t());if(a==null)throw new Error(n);return a}function i_(e,t){let n=e.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,a=t+e.TEXTURE0;if(an){let r=`[gl.TEXTURE0, gl.TEXTURE${n}]`;throw new Error(`textureUnit must be in ${r}.`)}}function pi(e,t=2){return v.sizeFromShape(e.slice(0,e.length-t))}function ci(e){if(e.length===0)throw Error("Cannot get rows and columns of an empty shape array.");return[e.length>1?e[e.length-2]:1,e[e.length-1]]}function Mp(e){let t=[1,1,1];return e.length===0||e.length===1&&e[0]===1||(t=[pi(e),...ci(e)]),t}function o_(e,t=!1){let n=H().getNumber("WEBGL_MAX_TEXTURE_SIZE"),a=H().getNumber("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE");a===1/0&&H().getBool("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE")&&(a=n/2),t&&(n=n*2,a=a*2,e=e.map((o,l)=>l>=e.length-2?v.nearestLargerEven(e[l]):e[l]),e.length===1&&(e=[2,e[0]])),e.length!==2&&(e=v.squeezeShape(e).newShape);let r=v.sizeFromShape(e),s=null;e.length<=1&&r<=n?s=[1,r]:e.length===2&&e[0]<=n&&e[1]<=n?s=e:e.length===3&&e[0]*e[1]<=n&&e[2]<=n?s=[e[0]*e[1],e[2]]:e.length===3&&e[0]<=n&&e[1]*e[2]<=n?s=[e[0],e[1]*e[2]]:e.length===4&&e[0]*e[1]*e[2]<=n&&e[3]<=n?s=[e[0]*e[1]*e[2],e[3]]:e.length===4&&e[0]<=n&&e[1]*e[2]*e[3]<=n&&(s=[e[0],e[1]*e[2]*e[3]]);let i=s!=null&&Math.max(...s)>a&&Math.min(...s)<=(t?2:1)&&Math.min(...s)>0;if(s==null||i)if(t){let o=pi(e),l=2,u=2;e.length&&([l,u]=ci(e)),r=o*(l/2)*(u/2),s=v.sizeToSquarishShape(r).map(p=>p*2)}else s=v.sizeToSquarishShape(r);return s}function th(e){return e%2===0}function Qp(e,t){if(e=e.slice(-2),t=t.slice(-2),v.arraysEqual(e,t)||!e.length||!t.length||e[0]===0||e[1]===0||t[0]===0||t[1]===0)return!0;if(e.length!==t.length){let n=e.slice(-1)[0],a=t.slice(-1)[0];if(n===a||th(n)&&th(a)&&(e[0]===1||t[0]===1))return!0}return e[1]===t[1]&&th(e[0])&&th(t[0])}var lh,uh;function l_(e){if(lh==null){let t=qa(e);lh=t.getParameter(t.MAX_TEXTURE_SIZE)}return lh}function HY(){lh=null}function jY(){uh=null}function u_(e){if(uh==null){let t=qa(e);uh=t.getParameter(t.MAX_TEXTURE_IMAGE_UNITS)}return Math.min(16,uh)}function p_(e){if(e===0)return 0;let t,n=qa(e);return ca(n,"EXT_disjoint_timer_query_webgl2")&&e===2?t=2:ca(n,"EXT_disjoint_timer_query")?t=1:t=0,t}function ca(e,t){return e.getExtension(t)!=null}function lx(e){try{if(qa(e)!=null)return!0}catch(t){return console.log("Error when getting WebGL context: ",t),!1}return!1}function c_(e){if(e===0)return!1;let t=qa(e);if(e===1){if(!ca(t,"OES_texture_float"))return!1}else if(!ca(t,"EXT_color_buffer_float"))return!1;return ux(t)}function d_(e){if(e===0)return!1;let t=qa(e);if(e===1){if(!ca(t,"OES_texture_float")||!ca(t,"WEBGL_color_buffer_float"))return!1}else{if(ca(t,"EXT_color_buffer_float"))return ux(t);let n="EXT_color_buffer_half_float";if(ca(t,n)){let a=t.getExtension(n);return qY(t,a)}return!1}return ux(t)}function ux(e){let t=B0(e),n=e.createTexture();e.bindTexture(e.TEXTURE_2D,n);let a=1,r=1;e.texImage2D(e.TEXTURE_2D,0,t.internalFormatFloat,a,r,0,t.textureFormatFloat,t.textureTypeFloat,null);let s=e.createFramebuffer();e.bindFramebuffer(e.FRAMEBUFFER,s),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,n,0);let i=e.checkFramebufferStatus(e.FRAMEBUFFER)===e.FRAMEBUFFER_COMPLETE;return e.bindTexture(e.TEXTURE_2D,null),e.bindFramebuffer(e.FRAMEBUFFER,null),e.deleteTexture(n),e.deleteFramebuffer(s),i}function qY(e,t){let n=B0(e,t),a=e.createTexture();e.bindTexture(e.TEXTURE_2D,a);let r=1,s=1;e.texImage2D(e.TEXTURE_2D,0,n.internalFormatHalfFloat,r,s,0,n.textureFormatFloat,n.textureTypeHalfFloat,null);let i=e.createFramebuffer();e.bindFramebuffer(e.FRAMEBUFFER,i),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,a,0);let o=e.checkFramebufferStatus(e.FRAMEBUFFER)===e.FRAMEBUFFER_COMPLETE;return e.bindTexture(e.TEXTURE_2D,null),e.bindFramebuffer(e.FRAMEBUFFER,null),e.deleteTexture(a),e.deleteFramebuffer(i),o}function h_(e){return e!==2?!1:qa(e).fenceSync!=null}function Lu(e,t){Array.isArray(e)||(e=[e]),e.forEach(n=>{n!=null&&v.assert(n.dtype!=="complex64",()=>`${t} does not support complex64 tensors in the WebGL backend.`)})}var ve=H();ve.registerFlag("HAS_WEBGL",()=>ve.getNumber("WEBGL_VERSION")>0);ve.registerFlag("WEBGL_VERSION",()=>lx(2)?2:lx(1)?1:0);ve.registerFlag("WEBGL_CHECK_NUMERICAL_PROBLEMS",()=>!1);ve.registerFlag("WEBGL_BUFFER_SUPPORTED",()=>ve.get("WEBGL_VERSION")===2);ve.registerFlag("WEBGL_CPU_FORWARD",()=>!0);ve.registerFlag("WEBGL_FORCE_F16_TEXTURES",()=>!1);ve.registerFlag("WEBGL_PACK",()=>ve.getBool("HAS_WEBGL"));ve.registerFlag("WEBGL_PACK_NORMALIZATION",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_CLIP",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_DEPTHWISECONV",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_BINARY_OPERATIONS",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_UNARY_OPERATIONS",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_ARRAY_OPERATIONS",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_IMAGE_OPERATIONS",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_REDUCE",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_LAZILY_UNPACK",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_CONV_IM2COL",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_MAX_TEXTURE_SIZE",()=>l_(ve.getNumber("WEBGL_VERSION")));ve.registerFlag("WEBGL_MAX_TEXTURES_IN_SHADER",()=>u_(ve.getNumber("WEBGL_VERSION")));ve.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION",()=>{let e=ve.getNumber("WEBGL_VERSION");return e===0?0:p_(e)});ve.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE",()=>ve.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0&&!Tc.isMobile());ve.registerFlag("WEBGL_RENDER_FLOAT32_CAPABLE",()=>c_(ve.getNumber("WEBGL_VERSION")));ve.registerFlag("WEBGL_RENDER_FLOAT32_ENABLED",()=>ve.getBool("WEBGL_FORCE_F16_TEXTURES")?!1:ve.getBool("WEBGL_RENDER_FLOAT32_CAPABLE"));ve.registerFlag("WEBGL_DOWNLOAD_FLOAT_ENABLED",()=>d_(ve.getNumber("WEBGL_VERSION")));ve.registerFlag("WEBGL_FENCE_API_ENABLED",()=>h_(ve.getNumber("WEBGL_VERSION")));ve.registerFlag("WEBGL_SIZE_UPLOAD_UNIFORM",()=>ve.getBool("WEBGL_RENDER_FLOAT32_ENABLED")?4:0);ve.registerFlag("WEBGL_DELETE_TEXTURE_THRESHOLD",()=>-1,e=>{if(e<0&&e!==-1)throw new Error(`WEBGL_DELETE_TEXTURE_THRESHOLD must be -1 (indicating never delete) or at least 0, but got ${e}.`)});ve.registerFlag("WEBGL_FLUSH_THRESHOLD",()=>Tc.isMobile()?1:-1,e=>{if(e<0&&e!==-1)throw new Error(`WEBGL_FLUSH_THRESHOLD must be -1 (indicating never manual flush) or at least 0, but got ${e}.`)});ve.registerFlag("CPU_HANDOFF_SIZE_THRESHOLD",()=>128);ve.registerFlag("WEBGL_USE_SHAPES_UNIFORMS",()=>!1);ve.registerFlag("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD",()=>1e5);ve.registerFlag("TOPK_K_CPU_HANDOFF_THRESHOLD",()=>128);ve.registerFlag("WEBGL_EXP_CONV",()=>!1);ve.registerFlag("SOFTWARE_WEBGL_ENABLED",()=>ve.getBool("IS_TEST"));ve.registerFlag("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE",()=>1/0);ve.registerFlag("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE",()=>!1);ve.registerFlag("WEBGL2_ISNAN_CUSTOM",()=>!1);function Cn(){let e,t,n,a,r,s,i,o,l,u;return H().getNumber("WEBGL_VERSION")===2?(e="#version 300 es",t="in",n="out",a="in",r="texture",s="outputColor",i="out vec4 outputColor;",o=H().getBool("WEBGL2_ISNAN_CUSTOM")?` bool isnan_custom(float val) { uint floatToUint = floatBitsToUint(val); return (floatToUint & 0x7fffffffu) > 0x7f800000u; @@ -107,15 +108,15 @@ Hi, looks like you are running TensorFlow.js in Node.js. To speed things up dram ivec4 round(vec4 value) { return ivec4(floor(value + vec4(0.5))); } - `),{version:e,attribute:t,varyingVs:n,varyingFs:a,texture2D:r,output:s,defineOutput:i,defineSpecialNaN:o,defineSpecialInf:l,defineRound:u}}function xo(e,t,n="index"){let a=v.computeStrides(t);return a.map((r,s)=>{let i=`int ${e[s]} = ${n} / ${r}`,o=s===a.length-1?`int ${e[s+1]} = ${n} - ${e[s]} * ${r}`:`index -= ${e[s]} * ${r}`;return`${i}; ${o};`}).join("")}function $f(e,t,n="index"){let a=v.computeStrides(t);return a.map((r,s)=>{let i=`int ${e[s]} = ${n} / outShapeStrides[${s}]`,o=s===a.length-1?`int ${e[s+1]} = ${n} - ${e[s]} * outShapeStrides[${s}]`:`index -= ${e[s]} * outShapeStrides[${s}]`;return`${i}; ${o};`}).join("")}function RY(e,t){let n=e.length,a=e.map(s=>`${t}[${s}]`),r=new Array(n-1);r[n-2]=a[n-1];for(let s=n-3;s>=0;--s)r[s]=`(${r[s+1]} * ${a[s+1]})`;return r}function MY(e,t,n="index"){let a=e.map((s,i)=>i),r=RY(a,t);return r.map((s,i)=>{let o=`int ${e[i]} = ${n} / ${r[i]}`,l=i===r.length-1?`int ${e[i+1]} = ${n} - ${e[i]} * ${r[i]}`:`index -= ${e[i]} * ${r[i]}`;return`${o}; ${l};`}).join("")}function z0(e){let t=v.computeStrides(e).map(n=>n.toString());return` + `),{version:e,attribute:t,varyingVs:n,varyingFs:a,texture2D:r,output:s,defineOutput:i,defineSpecialNaN:o,defineSpecialInf:l,defineRound:u}}function vo(e,t,n="index"){let a=v.computeStrides(t);return a.map((r,s)=>{let i=`int ${e[s]} = ${n} / ${r}`,o=s===a.length-1?`int ${e[s+1]} = ${n} - ${e[s]} * ${r}`:`index -= ${e[s]} * ${r}`;return`${i}; ${o};`}).join("")}function Df(e,t,n="index"){let a=v.computeStrides(t);return a.map((r,s)=>{let i=`int ${e[s]} = ${n} / outShapeStrides[${s}]`,o=s===a.length-1?`int ${e[s+1]} = ${n} - ${e[s]} * outShapeStrides[${s}]`:`index -= ${e[s]} * outShapeStrides[${s}]`;return`${i}; ${o};`}).join("")}function KY(e,t){let n=e.length,a=e.map(s=>`${t}[${s}]`),r=new Array(n-1);r[n-2]=a[n-1];for(let s=n-3;s>=0;--s)r[s]=`(${r[s+1]} * ${a[s+1]})`;return r}function XY(e,t,n="index"){let a=e.map((s,i)=>i),r=KY(a,t);return r.map((s,i)=>{let o=`int ${e[i]} = ${n} / ${r[i]}`,l=i===r.length-1?`int ${e[i+1]} = ${n} - ${e[i]} * ${r[i]}`:`index -= ${e[i]} * ${r[i]}`;return`${o}; ${l};`}).join("")}function U0(e){let t=v.computeStrides(e).map(n=>n.toString());return` int getFlatIndex(ivec3 coords) { return coords.x * ${t[0]} + coords.y * ${t[1]} + coords.z; } -`}function B0(){return` +`}function G0(){return` int getFlatIndex(ivec3 coords) { return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z; } -`}var i_=` +`}var m_=` const float FLOAT_MAX = 1.70141184e38; const float FLOAT_MIN = 1.17549435e-38; @@ -154,22 +155,22 @@ Hi, looks like you are running TensorFlow.js in Node.js. To speed things up dram return c / 255.0; } -`,{getBroadcastDims:o_}=N;function PY(e,t,n){let a=[];if(e.forEach(c=>{let h=v.sizeFromShape(c.shapeInfo.logicalShape);if(c.shapeInfo.isUniform?a.push(`uniform float ${c.name}${h>1?`[${h}]`:""};`):(a.push(`uniform sampler2D ${c.name};`),a.push(`uniform int offset${c.name};`)),n.enableShapeUniforms){let{uniformShape:m}=W0(n.packedInputs,c.shapeInfo.logicalShape,c.shapeInfo.texShape);switch(m.length){case 1:a.push(`uniform int ${c.name}Shape;`);break;case 2:a.push(`uniform ivec2 ${c.name}Shape;`);break;case 3:a.push(`uniform ivec3 ${c.name}Shape;`);break;case 4:a.push(`uniform ivec4 ${c.name}Shape;`);break;default:break}a.push(`uniform ivec2 ${c.name}TexShape;`)}}),n.enableShapeUniforms){switch(t.logicalShape.length){case 1:a.push("uniform int outShape;");break;case 2:a.push("uniform ivec2 outShape;"),a.push("uniform int outShapeStrides;");break;case 3:a.push("uniform ivec3 outShape;"),a.push("uniform ivec2 outShapeStrides;");break;case 4:a.push("uniform ivec4 outShape;"),a.push("uniform ivec3 outShapeStrides;");break;default:break}a.push("uniform ivec2 outTexShape;")}n.customUniforms&&n.customUniforms.forEach(c=>{a.push(`uniform ${c.type} ${c.name}${c.arrayIndex?`[${c.arrayIndex}]`:""};`)});let r=a.join(` -`),s=e.map(c=>OY(c,t,n.packedInputs,n.enableShapeUniforms)).join(` -`),i=t.texShape,o=Tn(),l=BY(o),u,p,d=UY(o);return t.isPacked?(u=LY(t.logicalShape,i,n.enableShapeUniforms),p=VY(o)):(u=zY(t.logicalShape,i,n.enableShapeUniforms),p=WY(o)),n.packedInputs&&(d+=qY),[d,l,p,r,u,s,n.userCode].join(` -`)}function Ou(e,t=!1){let n=e.shapeInfo.logicalShape;switch(n.length){case 0:return s7(e,t);case 1:return o7(e,t);case 2:return u7(e,t);case 3:return c7(e,t);case 4:return h7(e,t);case 5:return m7(e);case 6:return f7(e);default:throw new Error(`${n.length}-D input sampling is not yet supported`)}}function l_(e,t){switch(e.shapeInfo.logicalShape.length){case 0:return r7(e);case 1:return i7(e,t);case 2:return l7(e,t);case 3:return p7(e,t);default:return d7(e,t)}}function OY(e,t,n=!1,a){let r="";n?r+=l_(e,a):r+=Ou(e,a);let s=e.shapeInfo.logicalShape,i=t.logicalShape;return s.length<=i.length&&(n?r+=g7(e,t):r+=b7(e,t)),r}function LY(e,t,n){switch(e.length){case 0:return u_();case 1:return KY(e,t,n);case 2:return n7(e,t,n);case 3:return YY(e,t,n);default:return JY(e,t,n)}}function zY(e,t,n){switch(e.length){case 0:return u_();case 1:return XY(e,t,n);case 2:return a7(e,t,n);case 3:return ZY(e,t,n);case 4:return QY(e,t,n);case 5:return e7(e,t);case 6:return t7(e,t);default:throw new Error(`${e.length}-D output sampling is not yet supported`)}}function BY(e){return` +`,{getBroadcastDims:f_}=N;function YY(e,t,n){let a=[];if(e.forEach(c=>{let h=v.sizeFromShape(c.shapeInfo.logicalShape);if(c.shapeInfo.isUniform?a.push(`uniform float ${c.name}${h>1?`[${h}]`:""};`):(a.push(`uniform sampler2D ${c.name};`),a.push(`uniform int offset${c.name};`)),n.enableShapeUniforms){let{uniformShape:m}=H0(n.packedInputs,c.shapeInfo.logicalShape,c.shapeInfo.texShape);switch(m.length){case 1:a.push(`uniform int ${c.name}Shape;`);break;case 2:a.push(`uniform ivec2 ${c.name}Shape;`);break;case 3:a.push(`uniform ivec3 ${c.name}Shape;`);break;case 4:a.push(`uniform ivec4 ${c.name}Shape;`);break;default:break}a.push(`uniform ivec2 ${c.name}TexShape;`)}}),n.enableShapeUniforms){switch(t.logicalShape.length){case 1:a.push("uniform int outShape;");break;case 2:a.push("uniform ivec2 outShape;"),a.push("uniform int outShapeStrides;");break;case 3:a.push("uniform ivec3 outShape;"),a.push("uniform ivec2 outShapeStrides;");break;case 4:a.push("uniform ivec4 outShape;"),a.push("uniform ivec3 outShapeStrides;");break;default:break}a.push("uniform ivec2 outTexShape;")}n.customUniforms&&n.customUniforms.forEach(c=>{a.push(`uniform ${c.type} ${c.name}${c.arrayIndex?`[${c.arrayIndex}]`:""};`)});let r=a.join(` +`),s=e.map(c=>ZY(c,t,n.packedInputs,n.enableShapeUniforms)).join(` +`),i=t.texShape,o=Cn(),l=eZ(o),u,p,d=aZ(o);return t.isPacked?(u=JY(t.logicalShape,i,n.enableShapeUniforms),p=nZ(o)):(u=QY(t.logicalShape,i,n.enableShapeUniforms),p=tZ(o)),n.packedInputs&&(d+=oZ),[d,l,p,r,u,s,n.userCode].join(` +`)}function zu(e,t=!1){let n=e.shapeInfo.logicalShape;switch(n.length){case 0:return xZ(e,t);case 1:return wZ(e,t);case 2:return IZ(e,t);case 3:return TZ(e,t);case 4:return CZ(e,t);case 5:return _Z(e);case 6:return EZ(e);default:throw new Error(`${n.length}-D input sampling is not yet supported`)}}function g_(e,t){switch(e.shapeInfo.logicalShape.length){case 0:return yZ(e);case 1:return vZ(e,t);case 2:return kZ(e,t);case 3:return SZ(e,t);default:return NZ(e,t)}}function ZY(e,t,n=!1,a){let r="";n?r+=g_(e,a):r+=zu(e,a);let s=e.shapeInfo.logicalShape,i=t.logicalShape;return s.length<=i.length&&(n?r+=AZ(e,t):r+=$Z(e,t)),r}function JY(e,t,n){switch(e.length){case 0:return b_();case 1:return lZ(e,t,n);case 2:return gZ(e,t,n);case 3:return pZ(e,t,n);default:return dZ(e,t,n)}}function QY(e,t,n){switch(e.length){case 0:return b_();case 1:return uZ(e,t,n);case 2:return bZ(e,t,n);case 3:return cZ(e,t,n);case 4:return hZ(e,t,n);case 5:return mZ(e,t);case 6:return fZ(e,t);default:throw new Error(`${e.length}-D output sampling is not yet supported`)}}function eZ(e){return` float sampleTexture(sampler2D textureSampler, vec2 uv) { return ${e.texture2D}(textureSampler, uv).r; } - `}function WY(e){return` + `}function tZ(e){return` void setOutput(float val) { ${e.output} = vec4(val, 0, 0, 0); } - `}function VY(e){return` + `}function nZ(e){return` void setOutput(vec4 val) { ${e.output} = val; } - `}function UY(e){return`${e.version} + `}function aZ(e){return`${e.version} precision highp float; precision highp int; precision highp sampler2D; @@ -224,10 +225,10 @@ Hi, looks like you are running TensorFlow.js in Node.js. To speed things up dram return fract((p3.x + p3.y) * p3.z); } - ${GY} - ${HY} - ${jY} - `}var GY=` + ${rZ} + ${sZ} + ${iZ} + `}var rZ=` vec2 uvFromFlat(int texNumR, int texNumC, int index) { int texR = index / texNumC; int texC = index - texR * texNumC; @@ -239,7 +240,7 @@ vec2 packedUVfrom1D(int texNumR, int texNumC, int index) { int texC = texelIndex - texR * texNumC; return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); } -`,HY=` +`,sZ=` vec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR, int texNumC, int row, int col) { int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2); @@ -247,7 +248,7 @@ vec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR, int texC = texelIndex - texR * texNumC; return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); } -`,jY=` +`,iZ=` vec2 packedUVfrom3D(int texNumR, int texNumC, int texelsInBatch, int texelsInLogicalRow, int b, int row, int col) { @@ -256,7 +257,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, int texC = index - texR * texNumC; return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); } -`,qY=` +`,oZ=` float getChannel(vec4 frag, vec2 innerDims) { vec2 modCoord = mod(innerDims, 2.); return modCoord.x == 0. ? @@ -267,11 +268,11 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, float modCoord = mod(float(dim), 2.); return modCoord == 0. ? frag.r : frag.g; } -`;function u_(){return` +`;function b_(){return` int getOutputCoords() { return 0; } - `}function KY(e,t,n){let a=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return a[0]===1?n?` + `}function lZ(e,t,n){let a=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return a[0]===1?n?` int getOutputCoords() { return 2 * int(resultUV.x * ceil(float(outTexShape[1]) / 2.0)); } @@ -300,7 +301,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2(${a[0]}, ${a[1]})); return 2 * (resTexRC.x * ${a[1]} + resTexRC.y); } - `}function XY(e,t,n){return t[0]===1?n?` + `}function uZ(e,t,n){return t[0]===1?n?` int getOutputCoords() { return int(resultUV.x * float(outTexShape[1])); } @@ -328,7 +329,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2(${t[0]}, ${t[1]})); return resTexRC.x * ${t[1]} + resTexRC.y; } - `}function YY(e,t,n){if(n)return` + `}function pZ(e,t,n){if(n)return` ivec3 getOutputCoords() { ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0)); int texelsInLogicalRow = int(ceil(float(outShape[2]) / 2.0)); @@ -359,15 +360,15 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, return ivec3(b, r, c); } - `}function ZY(e,t,n){if(n)return` + `}function cZ(e,t,n){if(n)return` ivec3 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1])); int index = resTexRC.x * outTexShape[1] + resTexRC.y; - ${$f(["r","c","d"],e)} + ${Df(["r","c","d"],e)} return ivec3(r, c, d); } -`;let a=xo(["r","c","d"],e);return` +`;let a=vo(["r","c","d"],e);return` ivec3 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(${t[0]}, ${t[1]})); @@ -375,7 +376,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ${a} return ivec3(r, c, d); } - `}function JY(e,t,n){if(n)return` + `}function dZ(e,t,n){if(n)return` ivec4 getOutputCoords() { ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0)); ivec2 resTexRC = ivec2(resultUV.yx * @@ -416,15 +417,15 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, return ivec${e.length}(${l}); } - `}function QY(e,t,n){if(n)return` + `}function hZ(e,t,n){if(n)return` ivec4 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1])); int index = resTexRC.x * outTexShape[1] + resTexRC.y; - ${$f(["r","c","d","d2"],e)} + ${Df(["r","c","d","d2"],e)} return ivec4(r, c, d, d2); } - `;let a=xo(["r","c","d","d2"],e);return` + `;let a=vo(["r","c","d","d2"],e);return` ivec4 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(${t[0]}, ${t[1]})); @@ -432,7 +433,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ${a} return ivec4(r, c, d, d2); } - `}function e7(e,t){let n=xo(["r","c","d","d2","d3"],e);return` + `}function mZ(e,t){let n=vo(["r","c","d","d2","d3"],e);return` ivec5 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(${t[0]}, ${t[1]})); @@ -444,7 +445,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ivec5 outShape = ivec5(r, c, d, d2, d3); return outShape; } - `}function t7(e,t){let n=xo(["r","c","d","d2","d3","d4"],e);return` + `}function fZ(e,t){let n=vo(["r","c","d","d2","d3","d4"],e);return` ivec6 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(${t[0]}, ${t[1]})); @@ -455,7 +456,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ivec6 result = ivec6(r, c, d, d2, d3, d4); return result; } - `}function n7(e,t,n){let a=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(v.arraysEqual(e,t))return n?` + `}function gZ(e,t,n){let a=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(v.arraysEqual(e,t))return n?` ivec2 getOutputCoords() { ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0)); return 2 * ivec2(resultUV.yx * vec2(packedTexShape[0], packedTexShape[1])); @@ -488,7 +489,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, return ivec2(r, c); } - `}function a7(e,t,n){return v.arraysEqual(e,t)?n?` + `}function bZ(e,t,n){return v.arraysEqual(e,t)?n?` ivec2 getOutputCoords() { return ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1])); } @@ -542,15 +543,15 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, int c = index - r * ${e[1]}; return ivec2(r, c); } - `}function vo(e){return`offset${e}`}function r7(e){let t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),a=Tn();return` + `}function wo(e){return`offset${e}`}function yZ(e){let t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),a=Cn();return` vec4 ${n}() { return ${a.texture2D}(${t}, halfCR); } - `}function s7(e,t){let n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return`float ${a}() {return ${n};}`;let[r,s]=e.shapeInfo.texShape;if(r===1&&s===1)return` + `}function xZ(e,t){let n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return`float ${a}() {return ${n};}`;let[r,s]=e.shapeInfo.texShape;if(r===1&&s===1)return` float ${a}() { return sampleTexture(${n}, halfCR); } - `;let i=vo(n);if(t)return` + `;let i=wo(n);if(t)return` float ${a}() { vec2 uv = uvFromFlat(${n}TexShape[0], ${n}TexShape[1], ${i}); return sampleTexture(${n}, uv); @@ -560,7 +561,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2 uv = uvFromFlat(${o}, ${l}, ${i}); return sampleTexture(${n}, uv); } - `}function i7(e,t){let n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),r=e.shapeInfo.texShape,s=Tn();if(t)return` + `}function vZ(e,t){let n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),r=e.shapeInfo.texShape,s=Cn();if(t)return` vec4 ${a}(int index) { ivec2 packedTexShape = ivec2(ceil(float(${n}TexShape[0]) / 2.0), ceil(float(${n}TexShape[1]) / 2.0)); vec2 uv = packedUVfrom1D( @@ -573,15 +574,15 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ${i[0]}, ${i[1]}, index); return ${s.texture2D}(${n}, uv); } - `}function o7(e,t){let n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return` + `}function wZ(e,t){let n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return` float ${a}(int index) { - ${Lu(e)} + ${Wu(e)} } `;let r=e.shapeInfo.texShape,s=r[0],i=r[1];if(i===1&&s===1)return` float ${a}(int index) { return sampleTexture(${n}, halfCR); } - `;let o=vo(n);return i===1?t?` + `;let o=wo(n);return i===1?t?` float ${a}(int index) { vec2 uv = vec2(0.5, (float(index + ${o}) + 0.5) / float(${n}TexShape[0])); return sampleTexture(${n}, uv); @@ -611,7 +612,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2 uv = uvFromFlat(${s}, ${i}, index + ${o}); return sampleTexture(${n}, uv); } - `}function l7(e,t){let n=e.shapeInfo.logicalShape,a=e.name,r="get"+a.charAt(0).toUpperCase()+a.slice(1),s=e.shapeInfo.texShape,i=s[0],o=s[1],l=Tn();if(s!=null&&v.arraysEqual(n,s))return t?` + `}function kZ(e,t){let n=e.shapeInfo.logicalShape,a=e.name,r="get"+a.charAt(0).toUpperCase()+a.slice(1),s=e.shapeInfo.texShape,i=s[0],o=s[1],l=Cn();if(s!=null&&v.arraysEqual(n,s))return t?` vec4 ${r}(int row, int col) { vec2 uv = (vec2(col, row) + halfCR) / vec2(${a}TexShape[1], ${a}TexShape[0]); @@ -635,7 +636,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2 uv = packedUVfrom2D(${p}, ${u[0]}, ${u[1]}, row, col); return ${l.texture2D}(${a}, uv); } - `}function u7(e,t){let n=e.shapeInfo.logicalShape,a=e.name,r="get"+a.charAt(0).toUpperCase()+a.slice(1),s=e.shapeInfo.texShape;if(s!=null&&v.arraysEqual(n,s)){if(t)return` + `}function IZ(e,t){let n=e.shapeInfo.logicalShape,a=e.name,r="get"+a.charAt(0).toUpperCase()+a.slice(1),s=e.shapeInfo.texShape;if(s!=null&&v.arraysEqual(n,s)){if(t)return` float ${r}(int row, int col) { vec2 uv = (vec2(col, row) + halfCR) / vec2(${a}TexShape[1], ${a}TexShape[0]); return sampleTexture(${a}, uv); @@ -645,17 +646,17 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2 uv = (vec2(col, row) + halfCR) / vec2(${h}.0, ${c}.0); return sampleTexture(${a}, uv); } - `}let{newShape:i,keptDims:o}=v.squeezeShape(n),l=i;if(l.length=1?p="coords = 0;":p=o.map(g=>`coords.${d[g+u]} = 0;`).join(` + `}function AZ(e,t){let n=e.name,a=n.charAt(0).toUpperCase()+n.slice(1),r="get"+a+"AtOutCoords",s=e.shapeInfo.logicalShape.length,i=t.logicalShape.length,o=f_(e.shapeInfo.logicalShape,t.logicalShape),l=gt(i),u=i-s,p,d=["x","y","z","w","u","v"];s===0?p="":i<2&&o.length>=1?p="coords = 0;":p=o.map(g=>`coords.${d[g+u]} = 0;`).join(` `);let c="";i<2&&s>0?c="coords":c=e.shapeInfo.logicalShape.map((g,b)=>`coords.${d[b+u]}`).join(", ");let h="return outputValue;",m=v.sizeFromShape(e.shapeInfo.logicalShape)===1,f=v.sizeFromShape(t.logicalShape)===1;if(s===1&&!m&&!f)h=` return vec4(outputValue.xy, outputValue.xy); `;else if(m&&!f)i===1?h=` @@ -972,20 +973,20 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec4 outputValue = get${a}(${c}); ${h} } - `}function b7(e,t){let n=e.name,a=n.charAt(0).toUpperCase()+n.slice(1),r="get"+a+"AtOutCoords",s=t.texShape,i=e.shapeInfo.texShape,o=e.shapeInfo.logicalShape.length,l=t.logicalShape.length;if(!e.shapeInfo.isUniform&&o===l&&e.shapeInfo.flatOffset==null&&v.arraysEqual(i,s))return` + `}function $Z(e,t){let n=e.name,a=n.charAt(0).toUpperCase()+n.slice(1),r="get"+a+"AtOutCoords",s=t.texShape,i=e.shapeInfo.texShape,o=e.shapeInfo.logicalShape.length,l=t.logicalShape.length;if(!e.shapeInfo.isUniform&&o===l&&e.shapeInfo.flatOffset==null&&v.arraysEqual(i,s))return` float ${r}() { return sampleTexture(${n}, resultUV); } - `;let u=gt(l),p=o_(e.shapeInfo.logicalShape,t.logicalShape),d=l-o,c,h=["x","y","z","w","u","v"];o===0?c="":l<2&&p.length>=1?c="coords = 0;":c=p.map(f=>`coords.${h[f+d]} = 0;`).join(` + `;let u=gt(l),p=f_(e.shapeInfo.logicalShape,t.logicalShape),d=l-o,c,h=["x","y","z","w","u","v"];o===0?c="":l<2&&p.length>=1?c="coords = 0;":c=p.map(f=>`coords.${h[f+d]} = 0;`).join(` `);let m="";return l<2&&o>0?m="coords":m=e.shapeInfo.logicalShape.map((f,g)=>`coords.${h[g+d]}`).join(", "),` float ${r}() { ${u} coords = getOutputCoords(); ${c} return get${a}(${m}); } - `}function gt(e){if(e<=1)return"int";if(e===2)return"ivec2";if(e===3)return"ivec3";if(e===4)return"ivec4";if(e===5)return"ivec5";if(e===6)return"ivec6";throw Error(`GPU for rank ${e} is not yet supported`)}function W0(e,t,n){let{newShape:a,keptDims:r}=v.squeezeShape(t),s=t.length,i=e&&s===3&&t[0]===1,o=i?t.slice(1):a,l=!e&&s>1&&!v.arraysEqual(t,n)&&a.lengthe[n]).join(", ")}function y7(e,t,n,a){let r=n.map((p,d)=>{let c={logicalShape:p.shape,texShape:p.isUniform?null:p.texData.texShape,isUniform:p.isUniform,isPacked:p.isUniform?!1:p.texData.isPacked,flatOffset:null};return p.texData!=null&&p.texData.slice!=null&&p.texData.slice.flatOffset>0&&(c.flatOffset=p.texData.slice.flatOffset),{name:t.variableNames[d],shapeInfo:c}}),s=r.map(p=>p.shapeInfo),i={logicalShape:a.shape,texShape:a.texData.texShape,isUniform:!1,isPacked:a.texData.isPacked,flatOffset:null},o=PY(r,i,t),l=zC(e.gl,o),u=e.createProgram(l);return H().get("ENGINE_COMPILE_ONLY")?{program:t,fragmentShader:l,source:o,webGLProgram:u,inShapeInfos:s,outShapeInfo:i,uniformLocations:null,customUniformLocations:null,infLoc:null,nanLoc:null,inShapesLocations:null,inTexShapesLocations:null,outShapeLocation:null,outShapeStridesLocation:null,outTexShapeLocation:null}:Object.assign({program:t,fragmentShader:l,source:o,webGLProgram:u,inShapeInfos:s,outShapeInfo:i},p_(e,t,u))}function p_(e,t,n){let a={},r={},s={},i=[],o,l,u,p=null,d=null;d=e.getUniformLocation(n,"NAN",!1),H().getNumber("WEBGL_VERSION")===1&&(p=e.getUniformLocation(n,"INFINITY",!1));let c=!1;for(let h=0;h{i[m]=e.getUniformLocation(n,h.name,c)}),{uniformLocations:a,customUniformLocations:i,infLoc:p,nanLoc:d,inShapesLocations:r,inTexShapesLocations:s,outShapeLocation:o,outShapeStridesLocation:u,outTexShapeLocation:l}}function zk(e,t){if(e.length!==t.length)throw Error(`Binary was compiled with ${e.length} inputs, but was executed with ${t.length} inputs`);e.forEach((n,a)=>{let r=n.logicalShape,s=t[a],i=s.shape;if(!v.arraysEqual(r,i))throw Error(`Binary was compiled with different shapes than the current args. Shapes ${r} and ${i} must match`);if(n.isUniform&&s.isUniform)return;let o=n.texShape,l=s.isUniform?null:s.texData.texShape;if(!v.arraysEqual(o,l))throw Error(`Binary was compiled with different texture shapes than the current args. Shape ${o} and ${l} must match`)})}function x7(e,t,n,a,r){t.program.enableShapeUniforms||(zk(t.inShapeInfos,n),zk([t.outShapeInfo],[a]));let s=a.texData.texture,i=a.texData.texShape;a.texData.isPacked?e.setOutputPackedMatrixTexture(s.texture,i[0],i[1]):e.setOutputMatrixTexture(s.texture,i[0],i[1]),e.setProgram(t.webGLProgram),H().getNumber("WEBGL_VERSION")===1&&t.infLoc!==null&&e.gl.uniform1f(t.infLoc,1/0),t.nanLoc!==null&&e.gl.uniform1f(t.nanLoc,NaN),n.forEach((l,u)=>{let p=t.program.variableNames[u],d=t.uniformLocations[p],c=t.uniformLocations[`offset${p}`],h=t.inShapesLocations[`${p}Shape`],m=t.inTexShapesLocations[`${p}TexShape`];if(h){let{uniformShape:f}=W0(t.program.packedInputs,l.shape,l.texData.texShape);switch(f.length){case 1:e.gl.uniform1iv(h,new Int32Array(f));break;case 2:e.gl.uniform2iv(h,new Int32Array(f));break;case 3:e.gl.uniform3iv(h,new Int32Array(f));break;case 4:e.gl.uniform4iv(h,new Int32Array(f));break;default:break}}if(m&&e.gl.uniform2i(m,l.texData.texShape[0],l.texData.texShape[1]),d!=null){if(l.isUniform){if(v.sizeFromShape(l.shape)<2)e.gl.uniform1f(d,l.uniformValues[0]);else{let f=l.uniformValues;f instanceof Float32Array||(f=new Float32Array(f)),e.gl.uniform1fv(d,f)}return}l.texData.slice!=null&&c!=null&&e.gl.uniform1i(c,l.texData.slice.flatOffset),e.setInputMatrixTexture(l.texData.texture.texture,d,u)}});let o=t.outShapeLocation;if(o)switch(a.shape.length){case 1:e.gl.uniform1iv(o,new Int32Array(a.shape));break;case 2:e.gl.uniform2iv(o,new Int32Array(a.shape));break;case 3:e.gl.uniform3iv(o,new Int32Array(a.shape));break;case 4:e.gl.uniform4iv(o,new Int32Array(a.shape));break;default:break}if(t.outShapeStridesLocation){let l=v.computeStrides(a.shape);switch(a.shape.length){case 2:e.gl.uniform1iv(t.outShapeStridesLocation,new Int32Array(l));break;case 3:e.gl.uniform2iv(t.outShapeStridesLocation,new Int32Array(l));break;case 4:e.gl.uniform3iv(t.outShapeStridesLocation,new Int32Array(l));break;default:break}}t.outTexShapeLocation&&e.gl.uniform2i(t.outTexShapeLocation,a.texData.texShape[0],a.texData.texShape[1]),t.program.customUniforms&&r&&t.program.customUniforms.forEach((l,u)=>{let p=t.customUniformLocations[u],d=r[u];if(l.type==="float")e.gl.uniform1fv(p,d);else if(l.type==="vec2")e.gl.uniform2fv(p,d);else if(l.type==="vec3")e.gl.uniform3fv(p,d);else if(l.type==="vec4")e.gl.uniform4fv(p,d);else if(l.type==="int")e.gl.uniform1iv(p,d);else if(l.type==="ivec2")e.gl.uniform2iv(p,d);else if(l.type==="ivec3")e.gl.uniform3iv(p,d);else if(l.type==="ivec4")e.gl.uniform4iv(p,d);else throw Error(`uniform type ${l.type} is not supported yet.`)}),e.executeProgram()}function v7(e,t,n){let a="";t.concat(n).forEach(i=>{let o=i.texData!=null&&i.texData.slice!=null&&i.texData.slice.flatOffset>0;if(e.enableShapeUniforms&&!i.isUniform){let l=i.texData.texShape,{useSqueezeShape:u,uniformShape:p,keptDims:d}=W0(e.packedInputs,i.shape,l),c="",h="",m="";if(p.length===1&&e.packedInputs){let I=[Math.ceil(l[0]/2),Math.ceil(l[1]/2)];c=`${I[0]>1}_${I[1]>1}`}else if(p.length===2&&!e.packedInputs)h=`${p[0]>1}_${p[1]>1}`;else if(p.length>2&&!e.packedInputs){let I=v.computeStrides(p);m=`${I[0]===l[1]}_${I[I.length-1]===l[1]}`}let f=i.shape.length,g=p.length===2&&v.arraysEqual(i.shape,l),b=v.sizeFromShape(i.shape)===1,y=N.getBroadcastDims(i.shape,n.shape),x=!e.packedInputs&&f===n.shape.length&&v.arraysEqual(l,n.texData.texShape),w=e.packedInputs||p.length>2?"":`${l[0]>1}_${l[1]>1}`;a+=`${f}_${x}_${u?d:""}_${p.length}_${b}_${y}_${g}_${c}_${h}_${m}_${w}_${o}`}else{let l=i.isUniform?"uniform":i.texData.texShape;a+=`${i.shape}_${l}_${o}`}});let r=e.userCode,s=e.constructor.name;return s+="_"+a+"_"+r+`${H().getNumber("WEBGL_VERSION")}`,s}function Nn(e){return H().getBool("WEBGL_USE_SHAPES_UNIFORMS")&&e<=4}var w7=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=Yp.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];let t=Tn();this.outputShape=e,this.enableShapeUniforms=Nn(this.outputShape.length),this.userCode=` + `}function gt(e){if(e<=1)return"int";if(e===2)return"ivec2";if(e===3)return"ivec3";if(e===4)return"ivec4";if(e===5)return"ivec5";if(e===6)return"ivec6";throw Error(`GPU for rank ${e} is not yet supported`)}function H0(e,t,n){let{newShape:a,keptDims:r}=v.squeezeShape(t),s=t.length,i=e&&s===3&&t[0]===1,o=i?t.slice(1):a,l=!e&&s>1&&!v.arraysEqual(t,n)&&a.lengthe[n]).join(", ")}function FZ(e,t,n,a){let r=n.map((p,d)=>{let c={logicalShape:p.shape,texShape:p.isUniform?null:p.texData.texShape,isUniform:p.isUniform,isPacked:p.isUniform?!1:p.texData.isPacked,flatOffset:null};return p.texData!=null&&p.texData.slice!=null&&p.texData.slice.flatOffset>0&&(c.flatOffset=p.texData.slice.flatOffset),{name:t.variableNames[d],shapeInfo:c}}),s=r.map(p=>p.shapeInfo),i={logicalShape:a.shape,texShape:a.texData.texShape,isUniform:!1,isPacked:a.texData.isPacked,flatOffset:null},o=YY(r,i,t),l=qC(e.gl,o),u=e.createProgram(l);return H().get("ENGINE_COMPILE_ONLY")?{program:t,fragmentShader:l,source:o,webGLProgram:u,inShapeInfos:s,outShapeInfo:i,uniformLocations:null,customUniformLocations:null,infLoc:null,nanLoc:null,inShapesLocations:null,inTexShapesLocations:null,outShapeLocation:null,outShapeStridesLocation:null,outTexShapeLocation:null}:Object.assign({program:t,fragmentShader:l,source:o,webGLProgram:u,inShapeInfos:s,outShapeInfo:i},y_(e,t,u))}function y_(e,t,n){let a={},r={},s={},i=[],o,l,u,p=null,d=null;d=e.getUniformLocation(n,"NAN",!1),H().getNumber("WEBGL_VERSION")===1&&(p=e.getUniformLocation(n,"INFINITY",!1));let c=!1;for(let h=0;h{i[m]=e.getUniformLocation(n,h.name,c)}),{uniformLocations:a,customUniformLocations:i,infLoc:p,nanLoc:d,inShapesLocations:r,inTexShapesLocations:s,outShapeLocation:o,outShapeStridesLocation:u,outTexShapeLocation:l}}function Hk(e,t){if(e.length!==t.length)throw Error(`Binary was compiled with ${e.length} inputs, but was executed with ${t.length} inputs`);e.forEach((n,a)=>{let r=n.logicalShape,s=t[a],i=s.shape;if(!v.arraysEqual(r,i))throw Error(`Binary was compiled with different shapes than the current args. Shapes ${r} and ${i} must match`);if(n.isUniform&&s.isUniform)return;let o=n.texShape,l=s.isUniform?null:s.texData.texShape;if(!v.arraysEqual(o,l))throw Error(`Binary was compiled with different texture shapes than the current args. Shape ${o} and ${l} must match`)})}function DZ(e,t,n,a,r){t.program.enableShapeUniforms||(Hk(t.inShapeInfos,n),Hk([t.outShapeInfo],[a]));let s=a.texData.texture,i=a.texData.texShape;a.texData.isPacked?e.setOutputPackedMatrixTexture(s.texture,i[0],i[1]):e.setOutputMatrixTexture(s.texture,i[0],i[1]),e.setProgram(t.webGLProgram),H().getNumber("WEBGL_VERSION")===1&&t.infLoc!==null&&e.gl.uniform1f(t.infLoc,1/0),t.nanLoc!==null&&e.gl.uniform1f(t.nanLoc,NaN),n.forEach((l,u)=>{let p=t.program.variableNames[u],d=t.uniformLocations[p],c=t.uniformLocations[`offset${p}`],h=t.inShapesLocations[`${p}Shape`],m=t.inTexShapesLocations[`${p}TexShape`];if(h){let{uniformShape:f}=H0(t.program.packedInputs,l.shape,l.texData.texShape);switch(f.length){case 1:e.gl.uniform1iv(h,new Int32Array(f));break;case 2:e.gl.uniform2iv(h,new Int32Array(f));break;case 3:e.gl.uniform3iv(h,new Int32Array(f));break;case 4:e.gl.uniform4iv(h,new Int32Array(f));break;default:break}}if(m&&e.gl.uniform2i(m,l.texData.texShape[0],l.texData.texShape[1]),d!=null){if(l.isUniform){if(v.sizeFromShape(l.shape)<2)e.gl.uniform1f(d,l.uniformValues[0]);else{let f=l.uniformValues;f instanceof Float32Array||(f=new Float32Array(f)),e.gl.uniform1fv(d,f)}return}l.texData.slice!=null&&c!=null&&e.gl.uniform1i(c,l.texData.slice.flatOffset),e.setInputMatrixTexture(l.texData.texture.texture,d,u)}});let o=t.outShapeLocation;if(o)switch(a.shape.length){case 1:e.gl.uniform1iv(o,new Int32Array(a.shape));break;case 2:e.gl.uniform2iv(o,new Int32Array(a.shape));break;case 3:e.gl.uniform3iv(o,new Int32Array(a.shape));break;case 4:e.gl.uniform4iv(o,new Int32Array(a.shape));break;default:break}if(t.outShapeStridesLocation){let l=v.computeStrides(a.shape);switch(a.shape.length){case 2:e.gl.uniform1iv(t.outShapeStridesLocation,new Int32Array(l));break;case 3:e.gl.uniform2iv(t.outShapeStridesLocation,new Int32Array(l));break;case 4:e.gl.uniform3iv(t.outShapeStridesLocation,new Int32Array(l));break;default:break}}t.outTexShapeLocation&&e.gl.uniform2i(t.outTexShapeLocation,a.texData.texShape[0],a.texData.texShape[1]),t.program.customUniforms&&r&&t.program.customUniforms.forEach((l,u)=>{let p=t.customUniformLocations[u],d=r[u];if(l.type==="float")e.gl.uniform1fv(p,d);else if(l.type==="vec2")e.gl.uniform2fv(p,d);else if(l.type==="vec3")e.gl.uniform3fv(p,d);else if(l.type==="vec4")e.gl.uniform4fv(p,d);else if(l.type==="int")e.gl.uniform1iv(p,d);else if(l.type==="ivec2")e.gl.uniform2iv(p,d);else if(l.type==="ivec3")e.gl.uniform3iv(p,d);else if(l.type==="ivec4")e.gl.uniform4iv(p,d);else throw Error(`uniform type ${l.type} is not supported yet.`)}),e.executeProgram()}function RZ(e,t,n){let a="";t.concat(n).forEach(i=>{let o=i.texData!=null&&i.texData.slice!=null&&i.texData.slice.flatOffset>0;if(e.enableShapeUniforms&&!i.isUniform){let l=i.texData.texShape,{useSqueezeShape:u,uniformShape:p,keptDims:d}=H0(e.packedInputs,i.shape,l),c="",h="",m="";if(p.length===1&&e.packedInputs){let I=[Math.ceil(l[0]/2),Math.ceil(l[1]/2)];c=`${I[0]>1}_${I[1]>1}`}else if(p.length===2&&!e.packedInputs)h=`${p[0]>1}_${p[1]>1}`;else if(p.length>2&&!e.packedInputs){let I=v.computeStrides(p);m=`${I[0]===l[1]}_${I[I.length-1]===l[1]}`}let f=i.shape.length,g=p.length===2&&v.arraysEqual(i.shape,l),b=v.sizeFromShape(i.shape)===1,y=N.getBroadcastDims(i.shape,n.shape),x=!e.packedInputs&&f===n.shape.length&&v.arraysEqual(l,n.texData.texShape),w=e.packedInputs||p.length>2?"":`${l[0]>1}_${l[1]>1}`;a+=`${f}_${x}_${u?d:""}_${p.length}_${b}_${y}_${g}_${c}_${h}_${m}_${w}_${o}`}else{let l=i.isUniform?"uniform":i.texData.texShape;a+=`${i.shape}_${l}_${o}`}});let r=e.userCode,s=e.constructor.name;return s+="_"+a+"_"+r+`${H().getNumber("WEBGL_VERSION")}`,s}function _n(e){return H().getBool("WEBGL_USE_SHAPES_UNIFORMS")&&e<=4}var MZ=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=Jp.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];let t=Cn();this.outputShape=e,this.enableShapeUniforms=_n(this.outputShape.length),this.userCode=` ivec3 outCoordsFromFlatIndex(int index) { - ${this.enableShapeUniforms?$f(["r","c","d"],e):xo(["r","c","d"],e)} + ${this.enableShapeUniforms?Df(["r","c","d"],e):vo(["r","c","d"],e)} return ivec3(r, c, d); } @@ -1003,9 +1004,9 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ${t.output} = result; } - `}},k7=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=Yp.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];let t=Tn();this.outputShape=e,this.enableShapeUniforms=Nn(this.outputShape.length),this.userCode=` + `}},PZ=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=Jp.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];let t=Cn();this.outputShape=e,this.enableShapeUniforms=_n(this.outputShape.length),this.userCode=` ivec3 outCoordsFromFlatIndex(int index) { - ${this.enableShapeUniforms?$f(["r","c","d"],e):xo(["r","c","d"],e)} + ${this.enableShapeUniforms?Df(["r","c","d"],e):vo(["r","c","d"],e)} return ivec3(r, c, d); } @@ -1023,52 +1024,45 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ${t.output} = result; } - `}},I7=class{constructor(e){this.variableNames=["A"],this.outTexUsage=pa.DOWNLOAD;let t=Tn();this.outputShape=e,this.userCode=` - ${i_} + `}},OZ=class{constructor(e){this.variableNames=["A"],this.outTexUsage=pa.DOWNLOAD;let t=Cn();this.outputShape=e,this.userCode=` + ${m_} void main() { float x = getAAtOutCoords(); ${t.output} = encode_float(x); } - `}},S7=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=pa.DOWNLOAD;let t=Tn();this.outputShape=e,this.userCode=` - ${i_} + `}},LZ=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=pa.DOWNLOAD;let t=Cn();this.outputShape=e,this.userCode=` + ${m_} void main() { ivec3 coords = getOutputCoords(); float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z)); ${t.output} = encode_float(x); } - `}},T7=class{constructor(e,t=!1){this.variableNames=["A"],this.customUniforms=[{name:"texShape",type:"ivec2"}];let n=Tn();this.outputShape=e,this.enableShapeUniforms=Nn(this.outputShape.length);let a="result";t&&(a="floor(result * 255. + 0.5)"),this.userCode=` - ${this.enableShapeUniforms?B0():z0(e)} + `}},zZ={R:0,G:1,B:2,A:3},jk=class{constructor(e,t=!1,n="RGBA"){this.variableNames=["A"],this.customUniforms=[{name:"texShape",type:"ivec2"}];let a=Cn();this.outputShape=e,this.enableShapeUniforms=_n(this.outputShape.length);let r="result";t&&(r="floor(result * 255. + 0.5)");let s="";for(let i=0;iv_,createBufferFromOutputTexture:()=>I_,createFloat16MatrixTexture:()=>g_,createFloat16PackedMatrixTexture:()=>x_,createFloat32MatrixTexture:()=>f_,createIndexBuffer:()=>m_,createPackedMatrixTexture:()=>y_,createUnsignedBytesMatrixTexture:()=>b_,createVertexBuffer:()=>h_,createVertexShader:()=>d_,downloadByteEncodedFloatMatrixFromOutputTexture:()=>T_,downloadFloat32MatrixFromBuffer:()=>S_,downloadMatrixFromPackedOutputTexture:()=>C_,downloadPackedMatrixFromBuffer:()=>N_,getInternalFormatForFloat16MatrixTexture:()=>U0,getInternalFormatForFloat16PackedMatrixTexture:()=>j0,getInternalFormatForFloat32MatrixTexture:()=>V0,getInternalFormatForPackedMatrixTexture:()=>H0,getInternalFormatForUnsignedBytesMatrixTexture:()=>G0,uploadDenseMatrixToTexture:()=>w_,uploadPixelDataToTexture:()=>k_});function d_(e){let t=Tn(),n=`${t.version} + `}},x_={};Ae(x_,{bindVertexProgramAttributeStreams:()=>__,createBufferFromOutputTexture:()=>$_,createFloat16MatrixTexture:()=>S_,createFloat16PackedMatrixTexture:()=>C_,createFloat32MatrixTexture:()=>I_,createIndexBuffer:()=>k_,createPackedMatrixTexture:()=>N_,createUnsignedBytesMatrixTexture:()=>T_,createVertexBuffer:()=>w_,createVertexShader:()=>v_,downloadByteEncodedFloatMatrixFromOutputTexture:()=>D_,downloadFloat32MatrixFromBuffer:()=>F_,downloadMatrixFromPackedOutputTexture:()=>M_,downloadPackedMatrixFromBuffer:()=>R_,getInternalFormatForFloat16MatrixTexture:()=>q0,getInternalFormatForFloat16PackedMatrixTexture:()=>Y0,getInternalFormatForFloat32MatrixTexture:()=>j0,getInternalFormatForPackedMatrixTexture:()=>X0,getInternalFormatForUnsignedBytesMatrixTexture:()=>K0,uploadDenseMatrixToTexture:()=>E_,uploadPixelDataToTexture:()=>A_});function v_(e){let t=Cn(),n=`${t.version} precision highp float; ${t.attribute} vec3 clipSpacePos; ${t.attribute} vec2 uv; @@ -1121,7 +1115,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, void main() { gl_Position = vec4(clipSpacePos, 1); resultUV = uv; - }`;return LC(e,n)}function h_(e){let t=new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]);return VC(e,t)}function m_(e){let t=new Uint16Array([0,1,2,2,1,3]);return UC(e,t)}function ed(e,t,n,a,r,s){HC(t,n);let i=GC(e),o=e.TEXTURE_2D;return me(e,()=>e.bindTexture(o,i)),me(e,()=>e.texParameteri(o,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)),me(e,()=>e.texParameteri(o,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)),me(e,()=>e.texParameteri(o,e.TEXTURE_MIN_FILTER,e.NEAREST)),me(e,()=>e.texParameteri(o,e.TEXTURE_MAG_FILTER,e.NEAREST)),H().getNumber("WEBGL_VERSION")===1?me(e,()=>e.texImage2D(o,0,a,t,n,0,r,s,null)):me(e,()=>e.texStorage2D(o,1,a,t,n)),me(e,()=>e.bindTexture(e.TEXTURE_2D,null)),{texture:i,texShape:[n,t]}}function V0(e){return e.internalFormatFloat}function f_(e,t,n,a){let[r,s]=Qc(t,n);return ed(e,r,s,V0(a),a.textureFormatFloat,e.FLOAT)}function U0(e){return e.internalFormatHalfFloat}function g_(e,t,n,a){let[r,s]=Qc(t,n);return ed(e,r,s,U0(a),a.textureFormatFloat,a.textureTypeHalfFloat)}function G0(e){return e.downloadTextureFormat}function b_(e,t,n,a){let[r,s]=Qc(t,n);return ed(e,r,s,G0(a),e.RGBA,e.UNSIGNED_BYTE)}function H0(e){return e.internalFormatPackedFloat}function y_(e,t,n,a){let[r,s]=Mu(t,n);return ed(e,r,s,H0(a),e.RGBA,e.FLOAT)}function j0(e){return e.internalFormatPackedHalfFloat}function x_(e,t,n,a){let[r,s]=Mu(t,n);return ed(e,r,s,j0(a),e.RGBA,a.textureTypeHalfFloat)}function v_(e,t,n){return me(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),rx(e,t,"clipSpacePos",n,3,20,0)&&rx(e,t,"uv",n,2,20,12)}function w_(e,t,n,a,r,s){me(e,()=>e.bindTexture(e.TEXTURE_2D,t));let i,o,l;r instanceof Uint8Array?(i=new Uint8Array(n*a*4),o=e.UNSIGNED_BYTE,l=e.RGBA):(i=new Float32Array(n*a*4),o=e.FLOAT,l=s.internalFormatPackedFloat),i.set(r),H().getNumber("WEBGL_VERSION")===2?me(e,()=>e.texSubImage2D(e.TEXTURE_2D,0,0,0,n,a,e.RGBA,o,i)):me(e,()=>e.texImage2D(e.TEXTURE_2D,0,l,n,a,0,e.RGBA,o,i)),me(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function k_(e,t,n){me(e,()=>e.bindTexture(e.TEXTURE_2D,t)),n.data instanceof Uint8Array?H().getNumber("WEBGL_VERSION")===2?me(e,()=>e.texSubImage2D(e.TEXTURE_2D,0,0,0,n.width,n.height,e.RGBA,e.UNSIGNED_BYTE,n.data)):me(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,n.width,n.height,0,e.RGBA,e.UNSIGNED_BYTE,n.data)):H().getNumber("WEBGL_VERSION")===2?me(e,()=>e.texSubImage2D(e.TEXTURE_2D,0,0,0,e.RGBA,e.UNSIGNED_BYTE,n)):me(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,n)),me(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function I_(e,t,n,a){let r=e.createBuffer();me(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,r));let s=4*4*t*n;return me(e,()=>e.bufferData(e.PIXEL_PACK_BUFFER,s,e.STREAM_READ)),me(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,0)),me(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,null)),r}function S_(e,t,n){let a=e,r=new Float32Array(n);return a.bindBuffer(a.PIXEL_PACK_BUFFER,t),a.getBufferSubData(a.PIXEL_PACK_BUFFER,0,r),a.bindBuffer(a.PIXEL_PACK_BUFFER,null),r}function T_(e,t,n,a){let[r,s]=Qc(t,n),i=4,o=new Uint8Array(kY(t*n,i));return me(e,()=>e.readPixels(0,0,r,s,a.downloadTextureFormat,e.UNSIGNED_BYTE,o)),new Float32Array(o.buffer)}function N_(e,t,n,a,r,s,i,o){let l=e,u=new Float32Array(IY(s,i));return l.bindBuffer(l.PIXEL_PACK_BUFFER,t),l.getBufferSubData(l.PIXEL_PACK_BUFFER,0,u),l.bindBuffer(l.PIXEL_PACK_BUFFER,null),u}function C_(e,t,n){let a=new Float32Array(t*n*4);return me(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,a)),a}var ph=class{constructor(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];let t=H().getNumber("WEBGL_VERSION");e!=null?(this.gl=e,MC(t,e)):this.gl=Ha(t);let n="WEBGL_color_buffer_float",a="EXT_color_buffer_half_float";if(this.parallelCompilationExtension=this.gl.getExtension("KHR_parallel_shader_compile"),H().getNumber("WEBGL_VERSION")===1){let r="OES_texture_float",s="OES_texture_half_float";if(this.textureFloatExtension=$p(this.gl,r),ca(this.gl,s))this.textureHalfFloatExtension=$p(this.gl,s);else if(H().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(n),ca(this.gl,a))this.colorBufferHalfFloatExtension=$p(this.gl,a);else if(H().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(n="EXT_color_buffer_float",ca(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else if(ca(this.gl,a))this.colorBufferHalfFloatExtension=this.gl.getExtension(a);else throw new Error("GL context does not support color renderable floats");this.vertexBuffer=h_(this.gl),this.indexBuffer=m_(this.gl),this.framebuffer=jC(this.gl),this.textureConfig=O0(this.gl,this.textureHalfFloatExtension)}get debug(){return H().getBool("DEBUG")}dispose(){if(this.disposed)return;this.program!=null&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),this.outputTexture!=null&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture. This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");let e=this.gl;me(e,()=>e.finish()),me(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,null)),me(e,()=>e.deleteFramebuffer(this.framebuffer)),me(e,()=>e.bindBuffer(e.ARRAY_BUFFER,null)),me(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null)),me(e,()=>e.deleteBuffer(this.indexBuffer)),this.disposed=!0}createFloat32MatrixTexture(e,t){return this.throwIfDisposed(),f_(this.gl,e,t,this.textureConfig)}createFloat16MatrixTexture(e,t){return this.throwIfDisposed(),g_(this.gl,e,t,this.textureConfig)}createUnsignedBytesMatrixTexture(e,t){return this.throwIfDisposed(),b_(this.gl,e,t,this.textureConfig)}uploadPixelDataToTexture(e,t){this.throwIfDisposed(),k_(this.gl,e,t)}uploadDenseMatrixToTexture(e,t,n,a){this.throwIfDisposed(),w_(this.gl,e,t,n,a,this.textureConfig)}createFloat16PackedMatrixTexture(e,t){return this.throwIfDisposed(),x_(this.gl,e,t,this.textureConfig)}createPackedMatrixTexture(e,t){return this.throwIfDisposed(),y_(this.gl,e,t,this.textureConfig)}deleteMatrixTexture(e){this.throwIfDisposed(),this.outputTexture===e&&(sx(this.gl,this.framebuffer),this.outputTexture=null),me(this.gl,()=>this.gl.deleteTexture(e))}downloadByteEncodedFloatMatrixFromOutputTexture(e,t,n){return this.downloadMatrixDriver(e,()=>T_(this.gl,t,n,this.textureConfig))}downloadPackedMatrixFromBuffer(e,t,n,a,r,s){return N_(this.gl,e,t,n,a,r,s,this.textureConfig)}downloadFloat32MatrixFromBuffer(e,t){return S_(this.gl,e,t)}createBufferFromTexture(e,t,n){this.bindTextureToFrameBuffer(e);let a=I_(this.gl,t,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),a}createAndWaitForFence(){let e=this.createFence(this.gl);return this.pollFence(e)}createFence(e){let t,n;if(H().getBool("WEBGL_FENCE_API_ENABLED")){let a=e,r=a.fenceSync(a.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),n=()=>{let s=a.clientWaitSync(r,0,0);return s===a.ALREADY_SIGNALED||s===a.CONDITION_SATISFIED},t=r}else H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(t=this.beginQuery(),this.endQuery(),n=()=>this.isQueryAvailable(t,H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))):n=()=>!0;return{query:t,isFencePassed:n}}downloadMatrixFromPackedTexture(e,t,n){return this.downloadMatrixDriver(e,()=>C_(this.gl,t,n))}createProgram(e){this.throwIfDisposed();let t=this.gl;this.vertexShader==null&&(this.vertexShader=d_(t));let n=BC(t);return me(t,()=>t.attachShader(n,this.vertexShader)),me(t,()=>t.attachShader(n,e)),WC(t,n),this.debug&&sh(t,n),this.vertexAttrsAreBound||(this.setProgram(n),this.vertexAttrsAreBound=v_(t,this.program,this.vertexBuffer)),n}deleteProgram(e){this.throwIfDisposed(),e===this.program&&(this.program=null),e!=null&&me(this.gl,()=>this.gl.deleteProgram(e))}setProgram(e){this.throwIfDisposed(),this.program=e,this.program!=null&&this.debug&&sh(this.gl,this.program),me(this.gl,()=>this.gl.useProgram(e))}getUniformLocation(e,t,n=!0){return this.throwIfDisposed(),n?KC(this.gl,e,t):XC(this.gl,e,t)}getAttributeLocation(e,t){return this.throwIfDisposed(),me(this.gl,()=>this.gl.getAttribLocation(e,t))}getUniformLocationNoThrow(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)}setInputMatrixTexture(e,t,n){this.throwIfDisposed(),this.throwIfNoProgram(),YC(this.gl,e,t,n)}setOutputMatrixTexture(e,t,n){this.setOutputMatrixTextureDriver(e,n,t)}setOutputPackedMatrixTexture(e,t,n){this.throwIfDisposed();let[a,r]=Mu(t,n);this.setOutputMatrixTextureDriver(e,a,r)}setOutputMatrixWriteRegion(e,t,n,a){this.setOutputMatrixWriteRegionDriver(n,e,a,t)}setOutputPackedMatrixWriteRegion(e,t,n,a){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")}debugValidate(){this.program!=null&&sh(this.gl,this.program),Fp(this.gl)}executeProgram(){this.throwIfDisposed(),this.throwIfNoProgram();let e=this.gl;this.debug&&this.debugValidate(),me(e,()=>e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0))}blockUntilAllProgramsCompleted(){this.throwIfDisposed(),me(this.gl,()=>this.gl.finish())}getQueryTimerExtension(){return this.disjointQueryTimerExtension==null&&(this.disjointQueryTimerExtension=$p(this.gl,H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension}getQueryTimerExtensionWebGL2(){return this.getQueryTimerExtension()}getQueryTimerExtensionWebGL1(){return this.getQueryTimerExtension()}beginQuery(){if(H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){let n=this.gl,a=this.getQueryTimerExtensionWebGL2(),r=n.createQuery();return n.beginQuery(a.TIME_ELAPSED_EXT,r),r}let e=this.getQueryTimerExtensionWebGL1(),t=e.createQueryEXT();return e.beginQueryEXT(e.TIME_ELAPSED_EXT,t),t}endQuery(){if(H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){let t=this.gl,n=this.getQueryTimerExtensionWebGL2();t.endQuery(n.TIME_ELAPSED_EXT);return}let e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}async waitForQueryAndGetTime(e){return await v.repeatedTry(()=>this.disposed||this.isQueryAvailable(e,H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))),this.getQueryTime(e,H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}getQueryTime(e,t){if(t===0)return null;if(t===2){let n=this.gl;return n.getQueryParameter(e,n.QUERY_RESULT)/1e6}else{let n=this.getQueryTimerExtensionWebGL1();return n.getQueryObjectEXT(e,n.QUERY_RESULT_EXT)/1e6}}isQueryAvailable(e,t){if(t===0)return!0;if(t===2){let n=this.gl,a=this.getQueryTimerExtensionWebGL2(),r=n.getQueryParameter(e,n.QUERY_RESULT_AVAILABLE);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(a.GPU_DISJOINT_EXT)),r&&!this.disjoint}else{let n=this.getQueryTimerExtensionWebGL1(),a=n.getQueryObjectEXT(e,n.QUERY_RESULT_AVAILABLE_EXT);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(n.GPU_DISJOINT_EXT)),a&&!this.disjoint}}pollFence(e){return new Promise(t=>{this.addItemToPoll(()=>e.isFencePassed(),()=>t())})}pollItems(){let e=C7(this.itemsToPoll.map(t=>t.isDoneFn));for(let t=0;t<=e;++t){let{resolveFn:n}=this.itemsToPoll[t];n()}this.itemsToPoll=this.itemsToPoll.slice(e+1)}addItemToPoll(e,t){if(this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),this.itemsToPoll.length>1)return;let n;"setTimeoutCustom"in H().platform&&(n=H().platform.setTimeoutCustom.bind(H().platform)),v.repeatedTry(()=>(this.pollItems(),this.itemsToPoll.length===0),()=>0,null,n)}bindTextureToFrameBuffer(e){this.throwIfDisposed(),ih(this.gl,e,this.framebuffer),this.debug&&Fp(this.gl)}unbindTextureToFrameBuffer(){this.outputTexture!=null?(ih(this.gl,this.outputTexture,this.framebuffer),this.debug&&Fp(this.gl)):sx(this.gl,this.framebuffer)}downloadMatrixDriver(e,t){this.bindTextureToFrameBuffer(e);let n=t();return this.unbindTextureToFrameBuffer(),n}setOutputMatrixTextureDriver(e,t,n){this.throwIfDisposed();let a=this.gl;ih(a,e,this.framebuffer),this.debug&&Fp(a),this.outputTexture=e,me(a,()=>a.viewport(0,0,t,n)),me(a,()=>a.scissor(0,0,t,n))}setOutputMatrixWriteRegionDriver(e,t,n,a){this.throwIfDisposed(),me(this.gl,()=>this.gl.scissor(e,t,n,a))}throwIfDisposed(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")}throwIfNoProgram(){if(this.program==null)throw new Error("No GPU program is currently set.")}};function C7(e){let t=0;for(;t`${e}.${n}`)}function wn(e,t){return t===1?[e]:$_(e,t)}function gZ(e,t){if(e===1)return"rc";let n="";for(let a=0;ae.bindTexture(o,i)),me(e,()=>e.texParameteri(o,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)),me(e,()=>e.texParameteri(o,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)),me(e,()=>e.texParameteri(o,e.TEXTURE_MIN_FILTER,e.NEAREST)),me(e,()=>e.texParameteri(o,e.TEXTURE_MAG_FILTER,e.NEAREST)),H().getNumber("WEBGL_VERSION")===1?me(e,()=>e.texImage2D(o,0,a,t,n,0,r,s,null)):me(e,()=>e.texStorage2D(o,1,a,t,n)),me(e,()=>e.bindTexture(e.TEXTURE_2D,null)),{texture:i,texShape:[n,t]}}function j0(e){return e.internalFormatFloat}function I_(e,t,n,a){let[r,s]=ed(t,n);return td(e,r,s,j0(a),a.textureFormatFloat,e.FLOAT)}function q0(e){return e.internalFormatHalfFloat}function S_(e,t,n,a){let[r,s]=ed(t,n);return td(e,r,s,q0(a),a.textureFormatFloat,a.textureTypeHalfFloat)}function K0(e){return e.downloadTextureFormat}function T_(e,t,n,a){let[r,s]=ed(t,n);return td(e,r,s,K0(a),e.RGBA,e.UNSIGNED_BYTE)}function X0(e){return e.internalFormatPackedFloat}function N_(e,t,n,a){let[r,s]=Ou(t,n);return td(e,r,s,X0(a),e.RGBA,e.FLOAT)}function Y0(e){return e.internalFormatPackedHalfFloat}function C_(e,t,n,a){let[r,s]=Ou(t,n);return td(e,r,s,Y0(a),e.RGBA,a.textureTypeHalfFloat)}function __(e,t,n){return me(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),ix(e,t,"clipSpacePos",n,3,20,0)&&ix(e,t,"uv",n,2,20,12)}function E_(e,t,n,a,r,s){me(e,()=>e.bindTexture(e.TEXTURE_2D,t));let i,o,l;r instanceof Uint8Array?(i=new Uint8Array(n*a*4),o=e.UNSIGNED_BYTE,l=e.RGBA):(i=new Float32Array(n*a*4),o=e.FLOAT,l=s.internalFormatPackedFloat),i.set(r),H().getNumber("WEBGL_VERSION")===2?me(e,()=>e.texSubImage2D(e.TEXTURE_2D,0,0,0,n,a,e.RGBA,o,i)):me(e,()=>e.texImage2D(e.TEXTURE_2D,0,l,n,a,0,e.RGBA,o,i)),me(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function A_(e,t,n){me(e,()=>e.bindTexture(e.TEXTURE_2D,t)),n.data instanceof Uint8Array?H().getNumber("WEBGL_VERSION")===2?me(e,()=>e.texSubImage2D(e.TEXTURE_2D,0,0,0,n.width,n.height,e.RGBA,e.UNSIGNED_BYTE,n.data)):me(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,n.width,n.height,0,e.RGBA,e.UNSIGNED_BYTE,n.data)):H().getNumber("WEBGL_VERSION")===2?me(e,()=>e.texSubImage2D(e.TEXTURE_2D,0,0,0,e.RGBA,e.UNSIGNED_BYTE,n)):me(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,n)),me(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function $_(e,t,n,a){let r=e.createBuffer();me(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,r));let s=4*4*t*n;return me(e,()=>e.bufferData(e.PIXEL_PACK_BUFFER,s,e.STREAM_READ)),me(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,0)),me(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,null)),r}function F_(e,t,n){let a=e,r=new Float32Array(n);return a.bindBuffer(a.PIXEL_PACK_BUFFER,t),a.getBufferSubData(a.PIXEL_PACK_BUFFER,0,r),a.bindBuffer(a.PIXEL_PACK_BUFFER,null),r}function D_(e,t,n,a){let[r,s]=ed(t,n),i=4,o=new Uint8Array(PY(t*n,i));return me(e,()=>e.readPixels(0,0,r,s,a.downloadTextureFormat,e.UNSIGNED_BYTE,o)),new Float32Array(o.buffer)}function R_(e,t,n,a,r,s,i,o){let l=e,u=new Float32Array(OY(s,i));return l.bindBuffer(l.PIXEL_PACK_BUFFER,t),l.getBufferSubData(l.PIXEL_PACK_BUFFER,0,u),l.bindBuffer(l.PIXEL_PACK_BUFFER,null),u}function M_(e,t,n){let a=new Float32Array(t*n*4);return me(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,a)),a}var ph=class{constructor(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];let t=H().getNumber("WEBGL_VERSION");e!=null?(this.gl=e,UC(t,e)):this.gl=qa(t);let n="WEBGL_color_buffer_float",a="EXT_color_buffer_half_float";if(this.parallelCompilationExtension=this.gl.getExtension("KHR_parallel_shader_compile"),H().getNumber("WEBGL_VERSION")===1){let r="OES_texture_float",s="OES_texture_half_float";if(this.textureFloatExtension=Dp(this.gl,r),ca(this.gl,s))this.textureHalfFloatExtension=Dp(this.gl,s);else if(H().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(n),ca(this.gl,a))this.colorBufferHalfFloatExtension=Dp(this.gl,a);else if(H().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(n="EXT_color_buffer_float",ca(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else if(ca(this.gl,a))this.colorBufferHalfFloatExtension=this.gl.getExtension(a);else throw new Error("GL context does not support color renderable floats");this.vertexBuffer=w_(this.gl),this.indexBuffer=k_(this.gl),this.framebuffer=e_(this.gl),this.textureConfig=B0(this.gl,this.textureHalfFloatExtension)}get debug(){return H().getBool("DEBUG")}dispose(){if(this.disposed)return;this.program!=null&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),this.outputTexture!=null&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture. This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");let e=this.gl;me(e,()=>e.finish()),me(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,null)),me(e,()=>e.deleteFramebuffer(this.framebuffer)),me(e,()=>e.bindBuffer(e.ARRAY_BUFFER,null)),me(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null)),me(e,()=>e.deleteBuffer(this.indexBuffer)),this.disposed=!0}createFloat32MatrixTexture(e,t){return this.throwIfDisposed(),I_(this.gl,e,t,this.textureConfig)}createFloat16MatrixTexture(e,t){return this.throwIfDisposed(),S_(this.gl,e,t,this.textureConfig)}createUnsignedBytesMatrixTexture(e,t){return this.throwIfDisposed(),T_(this.gl,e,t,this.textureConfig)}uploadPixelDataToTexture(e,t){this.throwIfDisposed(),A_(this.gl,e,t)}uploadDenseMatrixToTexture(e,t,n,a){this.throwIfDisposed(),E_(this.gl,e,t,n,a,this.textureConfig)}createFloat16PackedMatrixTexture(e,t){return this.throwIfDisposed(),C_(this.gl,e,t,this.textureConfig)}createPackedMatrixTexture(e,t){return this.throwIfDisposed(),N_(this.gl,e,t,this.textureConfig)}deleteMatrixTexture(e){this.throwIfDisposed(),this.outputTexture===e&&(ox(this.gl,this.framebuffer),this.outputTexture=null),me(this.gl,()=>this.gl.deleteTexture(e))}downloadByteEncodedFloatMatrixFromOutputTexture(e,t,n){return this.downloadMatrixDriver(e,()=>D_(this.gl,t,n,this.textureConfig))}downloadPackedMatrixFromBuffer(e,t,n,a,r,s){return R_(this.gl,e,t,n,a,r,s,this.textureConfig)}downloadFloat32MatrixFromBuffer(e,t){return F_(this.gl,e,t)}createBufferFromTexture(e,t,n){this.bindTextureToFrameBuffer(e);let a=$_(this.gl,t,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),a}createAndWaitForFence(){let e=this.createFence(this.gl);return this.pollFence(e)}createFence(e){let t,n;if(H().getBool("WEBGL_FENCE_API_ENABLED")){let a=e,r=a.fenceSync(a.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),n=()=>{let s=a.clientWaitSync(r,0,0);return s===a.ALREADY_SIGNALED||s===a.CONDITION_SATISFIED},t=r}else H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(t=this.beginQuery(),this.endQuery(),n=()=>this.isQueryAvailable(t,H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))):n=()=>!0;return{query:t,isFencePassed:n}}downloadMatrixFromPackedTexture(e,t,n){return this.downloadMatrixDriver(e,()=>M_(this.gl,t,n))}createProgram(e){this.throwIfDisposed();let t=this.gl;this.vertexShader==null&&(this.vertexShader=v_(t));let n=KC(t);return me(t,()=>t.attachShader(n,this.vertexShader)),me(t,()=>t.attachShader(n,e)),XC(t,n),this.debug&&ih(t,n),this.vertexAttrsAreBound||(this.setProgram(n),this.vertexAttrsAreBound=__(t,this.program,this.vertexBuffer)),n}deleteProgram(e){this.throwIfDisposed(),e===this.program&&(this.program=null),e!=null&&me(this.gl,()=>this.gl.deleteProgram(e))}setProgram(e){this.throwIfDisposed(),this.program=e,this.program!=null&&this.debug&&ih(this.gl,this.program),me(this.gl,()=>this.gl.useProgram(e))}getUniformLocation(e,t,n=!0){return this.throwIfDisposed(),n?n_(this.gl,e,t):a_(this.gl,e,t)}getAttributeLocation(e,t){return this.throwIfDisposed(),me(this.gl,()=>this.gl.getAttribLocation(e,t))}getUniformLocationNoThrow(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)}setInputMatrixTexture(e,t,n){this.throwIfDisposed(),this.throwIfNoProgram(),r_(this.gl,e,t,n)}setOutputMatrixTexture(e,t,n){this.setOutputMatrixTextureDriver(e,n,t)}setOutputPackedMatrixTexture(e,t,n){this.throwIfDisposed();let[a,r]=Ou(t,n);this.setOutputMatrixTextureDriver(e,a,r)}setOutputMatrixWriteRegion(e,t,n,a){this.setOutputMatrixWriteRegionDriver(n,e,a,t)}setOutputPackedMatrixWriteRegion(e,t,n,a){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")}debugValidate(){this.program!=null&&ih(this.gl,this.program),Rp(this.gl)}executeProgram(){this.throwIfDisposed(),this.throwIfNoProgram();let e=this.gl;this.debug&&this.debugValidate(),me(e,()=>e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0))}blockUntilAllProgramsCompleted(){this.throwIfDisposed(),me(this.gl,()=>this.gl.finish())}getQueryTimerExtension(){return this.disjointQueryTimerExtension==null&&(this.disjointQueryTimerExtension=Dp(this.gl,H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension}getQueryTimerExtensionWebGL2(){return this.getQueryTimerExtension()}getQueryTimerExtensionWebGL1(){return this.getQueryTimerExtension()}beginQuery(){if(H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){let n=this.gl,a=this.getQueryTimerExtensionWebGL2(),r=n.createQuery();return n.beginQuery(a.TIME_ELAPSED_EXT,r),r}let e=this.getQueryTimerExtensionWebGL1(),t=e.createQueryEXT();return e.beginQueryEXT(e.TIME_ELAPSED_EXT,t),t}endQuery(){if(H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){let t=this.gl,n=this.getQueryTimerExtensionWebGL2();t.endQuery(n.TIME_ELAPSED_EXT);return}let e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}async waitForQueryAndGetTime(e){return await v.repeatedTry(()=>this.disposed||this.isQueryAvailable(e,H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))),this.getQueryTime(e,H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}getQueryTime(e,t){if(t===0)return null;if(t===2){let n=this.gl;return n.getQueryParameter(e,n.QUERY_RESULT)/1e6}else{let n=this.getQueryTimerExtensionWebGL1();return n.getQueryObjectEXT(e,n.QUERY_RESULT_EXT)/1e6}}isQueryAvailable(e,t){if(t===0)return!0;if(t===2){let n=this.gl,a=this.getQueryTimerExtensionWebGL2(),r=n.getQueryParameter(e,n.QUERY_RESULT_AVAILABLE);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(a.GPU_DISJOINT_EXT)),r&&!this.disjoint}else{let n=this.getQueryTimerExtensionWebGL1(),a=n.getQueryObjectEXT(e,n.QUERY_RESULT_AVAILABLE_EXT);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(n.GPU_DISJOINT_EXT)),a&&!this.disjoint}}pollFence(e){return new Promise(t=>{this.addItemToPoll(()=>e.isFencePassed(),()=>t())})}pollItems(){let e=BZ(this.itemsToPoll.map(t=>t.isDoneFn));for(let t=0;t<=e;++t){let{resolveFn:n}=this.itemsToPoll[t];n()}this.itemsToPoll=this.itemsToPoll.slice(e+1)}addItemToPoll(e,t){if(this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),this.itemsToPoll.length>1)return;let n;"setTimeoutCustom"in H().platform&&(n=H().platform.setTimeoutCustom.bind(H().platform)),v.repeatedTry(()=>(this.pollItems(),this.itemsToPoll.length===0),()=>0,null,n)}bindTextureToFrameBuffer(e){this.throwIfDisposed(),oh(this.gl,e,this.framebuffer),this.debug&&Rp(this.gl)}unbindTextureToFrameBuffer(){this.outputTexture!=null?(oh(this.gl,this.outputTexture,this.framebuffer),this.debug&&Rp(this.gl)):ox(this.gl,this.framebuffer)}downloadMatrixDriver(e,t){this.bindTextureToFrameBuffer(e);let n=t();return this.unbindTextureToFrameBuffer(),n}setOutputMatrixTextureDriver(e,t,n){this.throwIfDisposed();let a=this.gl;oh(a,e,this.framebuffer),this.debug&&Rp(a),this.outputTexture=e,me(a,()=>a.viewport(0,0,t,n)),me(a,()=>a.scissor(0,0,t,n))}setOutputMatrixWriteRegionDriver(e,t,n,a){this.throwIfDisposed(),me(this.gl,()=>this.gl.scissor(e,t,n,a))}throwIfDisposed(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")}throwIfNoProgram(){if(this.program==null)throw new Error("No GPU program is currently set.")}};function BZ(e){let t=0;for(;t`${e}.${n}`)}function wn(e,t){return t===1?[e]:z_(e,t)}function $7(e,t){if(e===1)return"rc";let n="";for(let a=0;a= ${this.enableShapeUniforms?"outShape":this.outputShape[0]} ? 0. : getA(rc + 1)), 0, 0`:`getA(${t[0]}), cEdge ? 0. : getA(${t[1]}), rEdge ? 0. : getA(${t[2]}), - rEdge || cEdge ? 0. : getA(${t[3]})`}},F_=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=e,this.enableShapeUniforms=Nn(this.outputShape.length);let n="";for(let a=0;a<4;a++){let r="thisRC = rc;";a%2===1&&(r+="thisRC.z += 1;"),a>1&&(r+="thisRC.y += 1;"),n+=` + rEdge || cEdge ? 0. : getA(${t[3]})`}},W_=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=e,this.enableShapeUniforms=_n(this.outputShape.length);let n="";for(let a=0;a<4;a++){let r="thisRC = rc;";a%2===1&&(r+="thisRC.z += 1;"),a>1&&(r+="thisRC.y += 1;"),n+=` ${r} ${a>0?"if(thisRC.y < rows && thisRC.z < cols){":""} int flatIndex = getFlatIndex(thisRC); @@ -1160,8 +1154,8 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims); ${a>0?"}":""} `}this.userCode=` - ${yZ(t,this.enableShapeUniforms)} - ${this.enableShapeUniforms?B0():z0(e)} + ${D7(t,this.enableShapeUniforms)} + ${this.enableShapeUniforms?G0():U0(e)} void main() { ivec3 rc = getOutputCoords(); @@ -1176,12 +1170,12 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, setOutput(result); } - `}};function yZ(e,t){return` + `}};function D7(e,t){return` ivec3 inputCoordsFromReshapedOutCoords(int index) { - ${t?MY(["r","c","d"],"inputShape"):xo(["r","c","d"],e)} + ${t?XY(["r","c","d"],"inputShape"):vo(["r","c","d"],e)} return ivec3(r, c, d); } - `}var xZ=class{constructor(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}acquireTexture(e,t,n){let a=Wk(t,n),r=Vk(e,a,n);r in this.freeTextures||(this.freeTextures[r]=[]),r in this.usedTextures||(this.usedTextures[r]=[]);let s=Bk(e,a,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[r].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=s,this.log();let o=this.freeTextures[r].shift();return this.usedTextures[r].push(o),o}let i;return a===sn.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):a===sn.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):a===sn.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):a===sn.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):a===sn.PACKED_4X1_UNSIGNED_BYTE&&(i=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[r].push(i),this.numUsedTextures++,this._numBytesAllocated+=s,this.log(),i}releaseTexture(e,t,n,a){if(this.freeTextures==null)return;let r=Wk(n,a),s=Vk(t,r,a);s in this.freeTextures||(this.freeTextures[s]=[]);let i=Bk(t,r,this.gpgpu.gl,this.gpgpu.textureConfig,a),o=H().get("WEBGL_DELETE_TEXTURE_THRESHOLD");o!==-1&&this._numBytesAllocated>o?(this.gpgpu.deleteMatrixTexture(e.texture),this._numBytesAllocated-=i):(this.freeTextures[s].push(e),this.numFreeTextures++,this._numBytesFree+=i),this.numUsedTextures--;let l=this.usedTextures[s],u=l.indexOf(e);if(u<0)throw new Error("Cannot release a texture that was never provided by this texture manager");l.splice(u,1),this.log()}log(){if(!this.logEnabled)return;let e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",`${this.numFreeTextures} / ${this.numUsedTextures}`,`(${e})`);let t=this._numBytesFree/this._numBytesAllocated;console.log(`Bytes allocated: ${this._numBytesAllocated}`),console.log(`Bytes unused: ${this._numBytesFree} (${Math.round(100*t)}%)`)}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(this.freeTextures!=null){for(let e in this.freeTextures)this.freeTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t.texture)});for(let e in this.usedTextures)this.usedTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t.texture)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}};function vZ(e,t){let n=e;if(t===n.R32F)return 4;if(t===n.R16F)return 2;if(t===n.RGBA32F||t===e.RGBA)return 16;if(t===n.RGBA16F)return 8;if(t===n.RGBA8)return 4;throw new Error(`Unknown internal format ${t}`)}function Bk(e,t,n,a,r){let s=wZ(t,a),i;if(r){let[l,u]=Mu(e[0],e[1]);i=l*u}else{let[l,u]=Qc(e[0],e[1]);i=l*u}let o=vZ(n,s);return i*o}function wZ(e,t){switch(e){case sn.PACKED_2X2_FLOAT32:return H0(t);case sn.PACKED_2X2_FLOAT16:return j0(t);case sn.UNPACKED_FLOAT32:return V0(t);case sn.UNPACKED_FLOAT16:return U0(t);case sn.PACKED_4X1_UNSIGNED_BYTE:return G0(t);default:throw new Error(`Unknown physical texture type ${e}`)}}function kZ(e){return H().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?sn.PACKED_2X2_FLOAT32:sn.UNPACKED_FLOAT32:e?sn.PACKED_2X2_FLOAT16:sn.UNPACKED_FLOAT16}function Wk(e,t){if(e===pa.UPLOAD)return sn.PACKED_2X2_FLOAT32;if(e===pa.RENDER||e==null)return kZ(t);if(e===pa.DOWNLOAD||e===pa.PIXELS)return sn.PACKED_4X1_UNSIGNED_BYTE;throw new Error(`Unknown logical texture type ${e}`)}function Vk(e,t,n){return`${e[0]}_${e[1]}_${t}_${n}`}var Sr=class{constructor(e,t){this.variableNames=["A"],this.outputShape=e,this.enableShapeUniforms=Nn(this.outputShape.length),this.userCode=` + `}var R7=class{constructor(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}acquireTexture(e,t,n){let a=Kk(t,n),r=Xk(e,a,n);r in this.freeTextures||(this.freeTextures[r]=[]),r in this.usedTextures||(this.usedTextures[r]=[]);let s=qk(e,a,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[r].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=s,this.log();let o=this.freeTextures[r].shift();return this.usedTextures[r].push(o),o}let i;return a===on.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):a===on.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):a===on.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):a===on.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):a===on.PACKED_4X1_UNSIGNED_BYTE&&(i=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[r].push(i),this.numUsedTextures++,this._numBytesAllocated+=s,this.log(),i}releaseTexture(e,t,n,a){if(this.freeTextures==null)return;let r=Kk(n,a),s=Xk(t,r,a);s in this.freeTextures||(this.freeTextures[s]=[]);let i=qk(t,r,this.gpgpu.gl,this.gpgpu.textureConfig,a),o=H().get("WEBGL_DELETE_TEXTURE_THRESHOLD");o!==-1&&this._numBytesAllocated>o?(this.gpgpu.deleteMatrixTexture(e.texture),this._numBytesAllocated-=i):(this.freeTextures[s].push(e),this.numFreeTextures++,this._numBytesFree+=i),this.numUsedTextures--;let l=this.usedTextures[s],u=l.indexOf(e);if(u<0)throw new Error("Cannot release a texture that was never provided by this texture manager");l.splice(u,1),this.log()}log(){if(!this.logEnabled)return;let e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",`${this.numFreeTextures} / ${this.numUsedTextures}`,`(${e})`);let t=this._numBytesFree/this._numBytesAllocated;console.log(`Bytes allocated: ${this._numBytesAllocated}`),console.log(`Bytes unused: ${this._numBytesFree} (${Math.round(100*t)}%)`)}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(this.freeTextures!=null){for(let e in this.freeTextures)this.freeTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t.texture)});for(let e in this.usedTextures)this.usedTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t.texture)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}};function M7(e,t){let n=e;if(t===n.R32F)return 4;if(t===n.R16F)return 2;if(t===n.RGBA32F||t===e.RGBA)return 16;if(t===n.RGBA16F)return 8;if(t===n.RGBA8)return 4;throw new Error(`Unknown internal format ${t}`)}function qk(e,t,n,a,r){let s=P7(t,a),i;if(r){let[l,u]=Ou(e[0],e[1]);i=l*u}else{let[l,u]=ed(e[0],e[1]);i=l*u}let o=M7(n,s);return i*o}function P7(e,t){switch(e){case on.PACKED_2X2_FLOAT32:return X0(t);case on.PACKED_2X2_FLOAT16:return Y0(t);case on.UNPACKED_FLOAT32:return j0(t);case on.UNPACKED_FLOAT16:return q0(t);case on.PACKED_4X1_UNSIGNED_BYTE:return K0(t);default:throw new Error(`Unknown physical texture type ${e}`)}}function O7(e){return H().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?on.PACKED_2X2_FLOAT32:on.UNPACKED_FLOAT32:e?on.PACKED_2X2_FLOAT16:on.UNPACKED_FLOAT16}function Kk(e,t){if(e===pa.UPLOAD)return on.PACKED_2X2_FLOAT32;if(e===pa.RENDER||e==null)return O7(t);if(e===pa.DOWNLOAD||e===pa.PIXELS)return on.PACKED_4X1_UNSIGNED_BYTE;throw new Error(`Unknown logical texture type ${e}`)}function Xk(e,t,n){return`${e[0]}_${e[1]}_${t}_${n}`}var Sr=class{constructor(e,t){this.variableNames=["A"],this.outputShape=e,this.enableShapeUniforms=_n(this.outputShape.length),this.userCode=` float unaryOperation(float x) { ${t} } @@ -1192,11 +1186,11 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, setOutput(y); } - `}},Fa="if (isnan(x)) return x;",IZ="return x;",Uk="return abs(x);",SZ="return (x >= 0.0) ? x : (exp(x) - 1.0);",TZ=Fa+` + `}},Da="if (isnan(x)) return x;",L7="return x;",Yk="return abs(x);",z7="return (x >= 0.0) ? x : (exp(x) - 1.0);",W7=Da+` return (x < 0.0) ? 0.0 : x; -`,NZ=Fa+` +`,B7=Da+` return (x < 0.0) ? 0.0 : min(6.0, x); -`,Ho="return x;",CZ="return 1.0 / (1.0 + exp(-1.0 * x));",_Z="return x;",EZ=` +`,jo="return x;",V7="return 1.0 / (1.0 + exp(-1.0 * x));",U7="return x;",G7=` vec4 result; result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0); @@ -1205,7 +1199,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0); return result; -`,AZ=` +`,H7=` vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0))); bvec4 isNaN = isnan(x); @@ -1215,7 +1209,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, result.a = isNaN.a ? x.a : result.a; return result; -`,$Z=` +`,j7=` vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0))); bvec4 isNaN = isnan(x); @@ -1225,7 +1219,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, result.a = isNaN.a ? x.a : result.a; return result; -`,FZ="return 1.0 / (1.0 + exp(-1.0 * x));",js=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.enableShapeUniforms=Nn(this.outputShape.length),this.userCode=` +`,q7="return 1.0 / (1.0 + exp(-1.0 * x));",js=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.enableShapeUniforms=_n(this.outputShape.length),this.userCode=` vec4 unaryOperation(vec4 x) { ${t} } @@ -1236,17 +1230,17 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, setOutput(y); } - `}},DZ=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e,this.enableShapeUniforms=Nn(this.outputShape.length);let t=e.length,n=wn("rc",t),a=gt(t),r=gZ(t,n),s=n.slice(-2),i=t<=1?"rc":`vec2(${s.join(",")})`;this.userCode=` + `}},K7=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e,this.enableShapeUniforms=_n(this.outputShape.length);let t=e.length,n=wn("rc",t),a=gt(t),r=$7(t,n),s=n.slice(-2),i=t<=1?"rc":`vec2(${s.join(",")})`;this.userCode=` void main() { ${a} rc = getOutputCoords(); vec4 packedInput = getA(${r}); setOutput(getChannel(packedInput, ${i})); } - `}},RZ=pr.whereImpl,MZ=1e-7,PZ=1e-4,my={};function OZ(e){return e in my||(my[e]={}),my[e]}var LZ=H().getNumber("CPU_HANDOFF_SIZE_THRESHOLD"),zZ=600;function BZ(){return H().global.screen==null?1024:H().global.screen.height*H().global.screen.width*window.devicePixelRatio*zZ/1024/1024}var Ff=class extends nc{constructor(e){if(super(),this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.lastGlFlushTime=0,this.warnedAboutMemory=!1,this.pendingDeletes=0,this.disposed=!1,!H().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");let t;if(e!=null){if(e instanceof ph)t=e;else{let n=Ha(H().getNumber("WEBGL_VERSION"),e);t=new ph(n)}this.binaryCache={},this.gpgpuCreatedLocally=!1}else{let n=Ha(H().getNumber("WEBGL_VERSION"));t=new ph(n),this.binaryCache=OZ(H().getNumber("WEBGL_VERSION")),this.gpgpuCreatedLocally=!0}this.gpgpu=t,this.canvas=this.gpgpu.gl.canvas,this.textureManager=new xZ(this.gpgpu),this.numMBBeforeWarning=BZ(),this.texData=new Hh(this,Ja())}nextDataId(){return Ff.nextDataId++}numDataIds(){return this.texData.numDataIds()-this.pendingDeletes}write(e,t,n){if((H().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||H().getBool("DEBUG"))&&this.checkNumericalProblems(e),n==="complex64"&&e!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");let a={id:this.nextDataId()};return this.texData.set(a,{shape:t,dtype:n,values:e,usage:pa.UPLOAD,refCount:1}),a}refCount(e){return this.texData.has(e)?this.texData.get(e).refCount:0}incRef(e){let t=this.texData.get(e);t.refCount++}decRef(e){if(this.texData.has(e)){let t=this.texData.get(e);t.refCount--}}move(e,t,n,a,r){if(H().getBool("DEBUG")&&this.checkNumericalProblems(t),a==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:n,dtype:a,values:t,usage:pa.UPLOAD,refCount:r})}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}readSync(e){let t=this.texData.get(e),{values:n,dtype:a,complexTensorInfos:r,slice:s,shape:i,isPacked:o}=t;if(s!=null){let d;o?d=new js(i,Ho):d=new Sr(i,Ho);let c=this.runWebGLProgram(d,[{dataId:e,shape:i,dtype:a}],a),h=this.readSync(c.dataId);return this.disposeIntermediateTensorInfo(c),h}if(n!=null)return this.convertAndCacheOnCPU(e);if(a==="string")return n;let l=this.activeTimers!=null,u;l&&(u=v.now());let p;if(a==="complex64"){let d=this.readSync(r.real.dataId),c=this.readSync(r.imag.dataId);p=N.mergeRealAndImagArrays(d,c)}else p=this.getValuesFromTexture(e);return l&&(this.downloadWaitMs+=v.now()-u),this.convertAndCacheOnCPU(e,p)}async read(e){if(this.pendingRead.has(e)){let h=this.pendingRead.get(e);return new Promise(m=>h.push(m))}let t=this.texData.get(e),{values:n,shape:a,slice:r,dtype:s,complexTensorInfos:i,isPacked:o}=t;if(r!=null){let h;o?h=new js(a,Ho):h=new Sr(a,Ho);let m=this.runWebGLProgram(h,[{dataId:e,shape:a,dtype:s}],s),f=this.read(m.dataId);return this.disposeIntermediateTensorInfo(m),f}if(n!=null)return this.convertAndCacheOnCPU(e);if(H().getBool("DEBUG")&&!H().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&H().getNumber("WEBGL_VERSION")===2)throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");let l=null,u;if(s!=="complex64"&&H().get("WEBGL_BUFFER_SUPPORTED")){u=this.decode(e);let h=this.texData.get(u.dataId);l=this.gpgpu.createBufferFromTexture(h.texture.texture,...Qd(a))}this.pendingRead.set(e,[]),s!=="complex64"&&await this.gpgpu.createAndWaitForFence();let p;if(s==="complex64"){let h=await Promise.all([this.read(i.real.dataId),this.read(i.imag.dataId)]),m=h[0],f=h[1];p=N.mergeRealAndImagArrays(m,f)}else if(l==null)p=this.getValuesFromTexture(e);else{let h=v.sizeFromShape(a);p=this.gpgpu.downloadFloat32MatrixFromBuffer(l,h)}if(u!=null&&this.disposeIntermediateTensorInfo(u),l!=null){let h=this.gpgpu.gl;me(h,()=>h.deleteBuffer(l))}let d=this.convertAndCacheOnCPU(e,p),c=this.pendingRead.get(e);return this.pendingRead.delete(e),c.forEach(h=>h(d)),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)&&Ja().removeDataId(e,this),this.pendingDeletes--),d}readToGPU(e,t={}){let n=this.texData.get(e),{values:a,shape:r,slice:s,dtype:i,isPacked:o,texture:l}=n;if(i==="complex64")throw new Error("Does not support reading texture for complex64 dtype.");if(s!=null){let c;o?c=new js(r,Ho):c=new Sr(r,Ho);let h=this.runWebGLProgram(c,[{dataId:e,shape:r,dtype:i}],i),m=this.readToGPU(h,t);return this.disposeIntermediateTensorInfo(h),m}if(l==null)throw a!=null?new Error("Data is not on GPU but on CPU."):new Error("There is no data on GPU or CPU.");let u=this.decode(e,t.customTexShape),p=Ja().makeTensorFromTensorInfo(u),d=this.texData.get(u.dataId);return Object.assign({tensorRef:p},d.texture)}bufferSync(e){let t=this.readSync(e.dataId);if(e.dtype==="string")try{let n=t.map(a=>v.decodeString(a));return Pe(e.shape,e.dtype,n)}catch(n){throw new Error("Failed to decode encoded string bytes into utf-8")}return Pe(e.shape,e.dtype,t)}checkNumericalProblems(e){if(e!=null)for(let t=0;t0}time(e){let t=this.activeTimers,n=[],a=!1;this.programTimersStack==null?(this.programTimersStack=n,a=!0):this.activeTimers.push(n),this.activeTimers=n,e();let r=v.flatten(this.activeTimers.map(o=>o.query)).filter(o=>o!=null),s=v.flatten(this.activeTimers.map(o=>o.name)).filter(o=>o!=null);this.activeTimers=t,a&&(this.programTimersStack=null);let i={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};return(async()=>{if(H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0){let o=await Promise.all(r);i.kernelMs=v.sum(o),i.getExtraProfileInfo=()=>o.map((l,u)=>({name:s[u],ms:l})).map(l=>`${l.name}: ${l.ms}`).join(", ")}else i.kernelMs={error:"WebGL query timers are not supported in this environment."};return this.uploadWaitMs=0,this.downloadWaitMs=0,i})()}memory(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}startTimer(){return H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:v.now(),endMs:null}}endTimer(e){return H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=v.now(),e)}async getQueryTime(e){if(H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)return this.gpgpu.waitForQueryAndGetTime(e);let t=e;return t.endMs-t.startMs}disposeData(e,t=!1){if(this.pendingDisposal.has(e))return!1;if(!this.texData.has(e))return!0;if(t?this.texData.get(e).refCount=0:this.texData.get(e).refCount--,!t&&this.texData.get(e).refCount>0)return!1;if(this.pendingRead.has(e))return this.pendingDisposal.add(e),this.pendingDeletes++,!1;this.releaseGPUData(e);let{complexTensorInfos:n}=this.texData.get(e);return n!=null&&(this.disposeData(n.real.dataId,t),this.disposeData(n.imag.dataId,t)),this.texData.delete(e),!0}releaseGPUData(e){let{texture:t,dtype:n,texShape:a,usage:r,isPacked:s,slice:i}=this.texData.get(e),o=i&&i.origDataId||e,l=this.dataRefCount.get(o);l>1?this.dataRefCount.set(o,l-1):(this.dataRefCount.delete(o),t!=null&&(this.numBytesInGPU-=this.computeBytes(a,n),this.textureManager.releaseTexture(t,a,r,s)));let u=this.texData.get(e);u.texture=null,u.texShape=null,u.isPacked=!1,u.slice=null}getTexture(e){return this.uploadToGPU(e),this.texData.get(e).texture.texture}getDataInfo(e){return this.texData.get(e)}shouldExecuteOnCPU(e,t=LZ){return H().getBool("WEBGL_CPU_FORWARD")&&e.every(n=>this.texData.get(n.dataId).texture==null&&v.sizeFromShape(n.shape)0&&v.isString(n[0])){let r=n.map(s=>v.encodeString(s));a=this.write(r,e,t)}else a=this.write(n,e,t);return this.texData.get(a).usage=null,{dataId:a,shape:e,dtype:t}}makeOutput(e,t,n){return Ja().makeTensorFromTensorInfo(this.makeTensorInfo(e,t,n),this)}unpackTensor(e){let t=new DZ(e.shape);return this.runWebGLProgram(t,[e],e.dtype)}packTensor(e){let t=new bZ(e.shape),n=!0;return this.runWebGLProgram(t,[e],e.dtype,null,n)}packedReshape(e,t){let n=[pi(e.shape),...ci(e.shape)],a={dtype:e.dtype,shape:n,dataId:e.dataId},r=[pi(t),...ci(t)],s=new F_(r,n),i=!0,o=[n],l=this.runWebGLProgram(s,[a],e.dtype,o,i);return{dataId:l.dataId,shape:t,dtype:l.dtype}}decode(e,t){let n=this.texData.get(e),{isPacked:a,shape:r,dtype:s}=n;if(t!=null){let d=v.sizeFromShape(r),c=t[0]*t[1]*4;v.assert(d<=c,()=>"customTexShape is too small. Row * Column * 4 should be equal or larger than the size of the tensor data.")}let i=oh(r),o;a?o=new k7(i):o=new w7(i);let l=!0,u=[t!=null?t:Qd(i)],p=this.runWebGLProgram(o,[{shape:i,dtype:s,dataId:e}],s,u,l,t);return{dtype:s,shape:r,dataId:p.dataId}}runWebGLProgram(e,t,n,a,r=!1,s){let i=this.makeTensorInfo(e.outputShape,n),o=this.texData.get(i.dataId);if(e.packedOutput&&(o.isPacked=!0),e.outPackingScheme===Yp.DENSE){let g=s!=null?s:Qd(e.outputShape);o.texShape=g.map(b=>b*2)}if(e.outTexUsage!=null&&(o.usage=e.outTexUsage),v.sizeFromShape(i.shape)===0)return o.values=v.getTypedArrayFromDType(i.dtype,0),i;let l=[],u=t.map(g=>{if(g.dtype==="complex64")throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");let b=this.texData.get(g.dataId);if(b.texture==null){if(!e.packedInputs&&v.sizeFromShape(g.shape)<=H().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:g.shape,texData:null,isUniform:!0,uniformValues:b.values};e.packedInputs&&(b.isPacked=!0,b.shape=g.shape)}if(this.uploadToGPU(g.dataId),!!b.isPacked!=!!e.packedInputs)g=b.isPacked?this.unpackTensor(g):this.packTensor(g),l.push(g),b=this.texData.get(g.dataId);else if(b.isPacked&&!Zp(b.shape,g.shape)){let y=g,x=g.shape;g.shape=b.shape,g=this.packedReshape(g,x),l.push(g),b=this.texData.get(g.dataId),y.shape=x}return{shape:g.shape,texData:b,isUniform:!1}});this.uploadToGPU(i.dataId);let p={shape:i.shape,texData:o,isUniform:!1},d=v7(e,u,p),c=this.getAndSaveBinary(d,()=>y7(this.gpgpu,e,u,p)),h=this.activeTimers!=null,m;h&&(m=this.startTimer()),H().get("ENGINE_COMPILE_ONLY")||x7(this.gpgpu,c,u,p,a),l.forEach(g=>this.disposeIntermediateTensorInfo(g)),h&&(m=this.endTimer(m),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(m)}));let f=H().get("WEBGL_FLUSH_THRESHOLD");if(f>0){let g=v.now();g-this.lastGlFlushTime>f&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=g)}if(!H().getBool("WEBGL_LAZILY_UNPACK")&&o.isPacked&&r===!1){let g=this.unpackTensor(i);return this.disposeIntermediateTensorInfo(i),g}return i}compileAndRun(e,t,n,a,r=!1){return n=n||t[0].dtype,this.runWebGLProgram(e,t,n,a,r)}getAndSaveBinary(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]}getTextureManager(){return this.textureManager}dispose(){this.disposed||(H().getBool("IS_TEST")||Object.keys(this.binaryCache).forEach(e=>{this.gpgpu.deleteProgram(this.binaryCache[e].webGLProgram),delete this.binaryCache[e]}),this.textureManager.dispose(),this.canvas!=null&&typeof HTMLCanvasElement!="undefined"&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0)}floatPrecision(){return this.floatPrecisionValue==null&&(this.floatPrecisionValue=P(()=>{if(!H().get("WEBGL_RENDER_FLOAT32_ENABLED")){let e=H().getBool("DEBUG");H().set("DEBUG",!1);let t=this.abs(ye(1e-8)).dataSync()[0];if(H().set("DEBUG",e),t>0)return 32}return 16})),this.floatPrecisionValue}epsilon(){return this.floatPrecision()===32?MZ:PZ}uploadToGPU(e){let t=this.texData.get(e),{shape:n,dtype:a,values:r,texture:s,usage:i,isPacked:o}=t;if(s!=null)return;let l=this.activeTimers!=null,u;l&&(u=v.now());let p=t.texShape;if(p==null&&(p=QC(n,o),t.texShape=p),r!=null){let d=oh(n),c,h=p[1],m=p[0],f=r instanceof Uint8Array||r instanceof Uint8ClampedArray;(o||!f)&&([h,m]=Mu(p[0],p[1])),o?c=new N7(d,f):c=new T7(d,f);let g=f?[m,h]:p,b=this.makeTensorInfo(g,a),y=this.texData.get(b.dataId);f?y.usage=pa.PIXELS:y.usage=pa.UPLOAD,y.texShape=g,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(b.dataId),h,m,r);let x=[[m,h]],w=!0,I=this.runWebGLProgram(c,[b],a,x,w),T=this.texData.get(I.dataId);t.texShape=T.texShape,t.isPacked=T.isPacked,t.usage=T.usage,H().get("ENGINE_COMPILE_ONLY")?this.disposeData(I.dataId):(t.texture=T.texture,t.values=null,this.texData.delete(I.dataId)),this.disposeIntermediateTensorInfo(b),l&&(this.uploadWaitMs+=v.now()-u)}else{let d=this.acquireTexture(p,i,a,o);t.texture=d}}convertAndCacheOnCPU(e,t){let n=this.texData.get(e),{dtype:a}=n;return this.releaseGPUData(e),t!=null&&(n.values=WZ(t,a)),n.values}acquireTexture(e,t,n,a){if(this.numBytesInGPU+=this.computeBytes(e,n),!this.warnedAboutMemory&&this.numBytesInGPU>this.numMBBeforeWarning*1024*1024){let r=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn(`High memory usage in GPU: ${r} MB, most likely due to a memory leak`)}return this.textureManager.acquireTexture(e,t,a)}computeBytes(e,t){return e[0]*e[1]*v.bytesPerElement(t)}checkCompileCompletion(){for(let[,e]of Object.entries(this.binaryCache))this.checkCompletion_(e)}async checkCompileCompletionAsync(){let e=[];if(this.gpgpu.parallelCompilationExtension){for(let[,t]of Object.entries(this.binaryCache))e.push(this.checkCompletionAsync_(t));return Promise.all(e)}else{for(let[,t]of Object.entries(this.binaryCache)){let n=new Promise(a=>{try{this.checkCompletion_(t),a(!0)}catch(r){throw r}});e.push(n)}return Promise.all(e)}}async checkCompletionAsync_(e){return this.gpgpu.gl.getProgramParameter(e.webGLProgram,this.gpgpu.parallelCompilationExtension.COMPLETION_STATUS_KHR)?this.checkCompletion_(e):(await Vv(),this.checkCompletionAsync_(e))}checkCompletion_(e){if(this.gpgpu.gl.getProgramParameter(e.webGLProgram,this.gpgpu.gl.LINK_STATUS)===!1)throw console.log(this.gpgpu.gl.getProgramInfoLog(e.webGLProgram)),this.gpgpu.gl.getShaderParameter(e.fragmentShader,this.gpgpu.gl.COMPILE_STATUS)===!1?(L0(e.source,this.gpgpu.gl.getShaderInfoLog(e.fragmentShader)),new Error("Failed to compile fragment shader.")):new Error("Failed to link vertex and fragment shaders.");return!0}getUniformLocations(){for(let[,e]of Object.entries(this.binaryCache)){let{uniformLocations:t,customUniformLocations:n,infLoc:a,nanLoc:r,inShapesLocations:s,inTexShapesLocations:i,outShapeLocation:o,outShapeStridesLocation:l,outTexShapeLocation:u}=p_(this.gpgpu,e.program,e.webGLProgram);e.uniformLocations=t,e.customUniformLocations=n,e.infLoc=a,e.nanLoc=r,e.inShapesLocations=s,e.inTexShapesLocations=i,e.outShapeLocation=o,e.outShapeStridesLocation=l,e.outTexShapeLocation=u}}};Ff.nextDataId=0;function WZ(e,t){if(t==="float32"||t==="complex64")return e;if(t==="int32"||t==="bool"){let n=t==="int32"?new Int32Array(e.length):new Uint8Array(e.length);for(let a=0;anew Ff,2);var UZ={forceHalfFloat:D_},K0=` + `}},X7=cr.whereImpl,Y7=1e-7,Z7=1e-4,gy={};function J7(e){return e in gy||(gy[e]={}),gy[e]}var Q7=H().getNumber("CPU_HANDOFF_SIZE_THRESHOLD"),eJ=600;function tJ(){return H().global.screen==null?1024:H().global.screen.height*H().global.screen.width*window.devicePixelRatio*eJ/1024/1024}var Rf=class extends rc{constructor(e){if(super(),this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.lastGlFlushTime=0,this.warnedAboutMemory=!1,this.pendingDeletes=0,this.disposed=!1,!H().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");let t;if(e!=null){if(e instanceof ph)t=e;else{let n=qa(H().getNumber("WEBGL_VERSION"),e);t=new ph(n)}this.binaryCache={},this.gpgpuCreatedLocally=!1}else{let n=qa(H().getNumber("WEBGL_VERSION"));t=new ph(n),this.binaryCache=J7(H().getNumber("WEBGL_VERSION")),this.gpgpuCreatedLocally=!0}this.gpgpu=t,this.canvas=this.gpgpu.gl.canvas,this.textureManager=new R7(this.gpgpu),this.numMBBeforeWarning=tJ(),this.texData=new jh(this,Na())}nextDataId(){return Rf.nextDataId++}numDataIds(){return this.texData.numDataIds()-this.pendingDeletes}writeTexture(e,t,n,a,r,s){let i=this.makeTensorInfo(t,n),o=this.texData.get(i.dataId);o.isPacked=!1,o.texture={texture:e,texShape:[a,r]},o.texShape=[a,r];let l=Mp(t),u=new jk(l,!1,s),p=this.runWebGLProgram(u,[i],n,[[a,r]]);return p.shape=t,o.texture=null,this.disposeIntermediateTensorInfo(i),p.dataId}write(e,t,n){if((H().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||H().getBool("DEBUG"))&&this.checkNumericalProblems(e),n==="complex64"&&e!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");let a={id:this.nextDataId()};return this.texData.set(a,{shape:t,dtype:n,values:e,usage:pa.UPLOAD,refCount:1}),a}refCount(e){return this.texData.has(e)?this.texData.get(e).refCount:0}incRef(e){let t=this.texData.get(e);t.refCount++}decRef(e){if(this.texData.has(e)){let t=this.texData.get(e);t.refCount--}}move(e,t,n,a,r){if(H().getBool("DEBUG")&&this.checkNumericalProblems(t),a==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:n,dtype:a,values:t,usage:pa.UPLOAD,refCount:r})}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}readSync(e){let t=this.texData.get(e),{values:n,dtype:a,complexTensorInfos:r,slice:s,shape:i,isPacked:o}=t;if(s!=null){let d;o?d=new js(i,jo):d=new Sr(i,jo);let c=this.runWebGLProgram(d,[{dataId:e,shape:i,dtype:a}],a),h=this.readSync(c.dataId);return this.disposeIntermediateTensorInfo(c),h}if(n!=null)return this.convertAndCacheOnCPU(e);if(a==="string")return n;let l=this.activeTimers!=null,u;l&&(u=v.now());let p;if(a==="complex64"){let d=this.readSync(r.real.dataId),c=this.readSync(r.imag.dataId);p=N.mergeRealAndImagArrays(d,c)}else p=this.getValuesFromTexture(e);return l&&(this.downloadWaitMs+=v.now()-u),this.convertAndCacheOnCPU(e,p)}async read(e){if(this.pendingRead.has(e)){let h=this.pendingRead.get(e);return new Promise(m=>h.push(m))}let t=this.texData.get(e),{values:n,shape:a,slice:r,dtype:s,complexTensorInfos:i,isPacked:o}=t;if(r!=null){let h;o?h=new js(a,jo):h=new Sr(a,jo);let m=this.runWebGLProgram(h,[{dataId:e,shape:a,dtype:s}],s),f=this.read(m.dataId);return this.disposeIntermediateTensorInfo(m),f}if(n!=null)return this.convertAndCacheOnCPU(e);if(H().getBool("DEBUG")&&!H().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&H().getNumber("WEBGL_VERSION")===2)throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");let l=null,u;if(s!=="complex64"&&H().get("WEBGL_BUFFER_SUPPORTED")){u=this.decode(e);let h=this.texData.get(u.dataId);l=this.gpgpu.createBufferFromTexture(h.texture.texture,...eh(a))}this.pendingRead.set(e,[]),s!=="complex64"&&await this.gpgpu.createAndWaitForFence();let p;if(s==="complex64"){let h=await Promise.all([this.read(i.real.dataId),this.read(i.imag.dataId)]),m=h[0],f=h[1];p=N.mergeRealAndImagArrays(m,f)}else if(l==null)p=this.getValuesFromTexture(e);else{let h=v.sizeFromShape(a);p=this.gpgpu.downloadFloat32MatrixFromBuffer(l,h)}if(u!=null&&this.disposeIntermediateTensorInfo(u),l!=null){let h=this.gpgpu.gl;me(h,()=>h.deleteBuffer(l))}let d=this.convertAndCacheOnCPU(e,p),c=this.pendingRead.get(e);return this.pendingRead.delete(e),c.forEach(h=>h(d)),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)&&Na().removeDataId(e,this),this.pendingDeletes--),d}readToGPU(e,t={}){let n=this.texData.get(e),{values:a,shape:r,slice:s,dtype:i,isPacked:o,texture:l}=n;if(i==="complex64")throw new Error("Does not support reading texture for complex64 dtype.");if(s!=null){let c;o?c=new js(r,jo):c=new Sr(r,jo);let h=this.runWebGLProgram(c,[{dataId:e,shape:r,dtype:i}],i),m=this.readToGPU(h,t);return this.disposeIntermediateTensorInfo(h),m}if(l==null)throw a!=null?new Error("Data is not on GPU but on CPU."):new Error("There is no data on GPU or CPU.");let u=this.decode(e,t.customTexShape),p=Na().makeTensorFromTensorInfo(u),d=this.texData.get(u.dataId);return Object.assign({tensorRef:p},d.texture)}bufferSync(e){let t=this.readSync(e.dataId);if(e.dtype==="string")try{let n=t.map(a=>v.decodeString(a));return Pe(e.shape,e.dtype,n)}catch(n){throw new Error("Failed to decode encoded string bytes into utf-8")}return Pe(e.shape,e.dtype,t)}checkNumericalProblems(e){if(e!=null)for(let t=0;t0}time(e){let t=this.activeTimers,n=[],a=!1;this.programTimersStack==null?(this.programTimersStack=n,a=!0):this.activeTimers.push(n),this.activeTimers=n,e();let r=v.flatten(this.activeTimers.map(o=>o.query)).filter(o=>o!=null),s=v.flatten(this.activeTimers.map(o=>o.name)).filter(o=>o!=null);this.activeTimers=t,a&&(this.programTimersStack=null);let i={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};return(async()=>{if(H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0){let o=await Promise.all(r);i.kernelMs=v.sum(o),i.getExtraProfileInfo=()=>o.map((l,u)=>({name:s[u],ms:l})).map(l=>`${l.name}: ${l.ms}`).join(", ")}else i.kernelMs={error:"WebGL query timers are not supported in this environment."};return this.uploadWaitMs=0,this.downloadWaitMs=0,i})()}memory(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}startTimer(){return H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:v.now(),endMs:null}}endTimer(e){return H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=v.now(),e)}async getQueryTime(e){if(H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)return this.gpgpu.waitForQueryAndGetTime(e);let t=e;return t.endMs-t.startMs}disposeData(e,t=!1){if(this.pendingDisposal.has(e))return!1;if(!this.texData.has(e))return!0;if(t?this.texData.get(e).refCount=0:this.texData.get(e).refCount--,!t&&this.texData.get(e).refCount>0)return!1;if(this.pendingRead.has(e))return this.pendingDisposal.add(e),this.pendingDeletes++,!1;this.releaseGPUData(e);let{complexTensorInfos:n}=this.texData.get(e);return n!=null&&(this.disposeData(n.real.dataId,t),this.disposeData(n.imag.dataId,t)),this.texData.delete(e),!0}releaseGPUData(e){let{texture:t,dtype:n,texShape:a,usage:r,isPacked:s,slice:i}=this.texData.get(e),o=i&&i.origDataId||e,l=this.dataRefCount.get(o);l>1?this.dataRefCount.set(o,l-1):(this.dataRefCount.delete(o),t!=null&&(this.numBytesInGPU-=this.computeBytes(a,n),this.textureManager.releaseTexture(t,a,r,s)));let u=this.texData.get(e);u.texture=null,u.texShape=null,u.isPacked=!1,u.slice=null}getTexture(e){return this.uploadToGPU(e),this.texData.get(e).texture.texture}getDataInfo(e){return this.texData.get(e)}shouldExecuteOnCPU(e,t=Q7){return H().getBool("WEBGL_CPU_FORWARD")&&e.every(n=>this.texData.get(n.dataId).texture==null&&v.sizeFromShape(n.shape)0&&v.isString(n[0])){let r=n.map(s=>v.encodeString(s));a=this.write(r,e,t)}else a=this.write(n,e,t);return this.texData.get(a).usage=null,{dataId:a,shape:e,dtype:t}}makeOutput(e,t,n){return Na().makeTensorFromTensorInfo(this.makeTensorInfo(e,t,n),this)}unpackTensor(e){let t=new K7(e.shape);return this.runWebGLProgram(t,[e],e.dtype)}packTensor(e){let t=new F7(e.shape),n=!0;return this.runWebGLProgram(t,[e],e.dtype,null,n)}packedReshape(e,t){let n=[pi(e.shape),...ci(e.shape)],a={dtype:e.dtype,shape:n,dataId:e.dataId},r=[pi(t),...ci(t)],s=new W_(r,n),i=!0,o=[n],l=this.runWebGLProgram(s,[a],e.dtype,o,i);return{dataId:l.dataId,shape:t,dtype:l.dtype}}decode(e,t){let n=this.texData.get(e),{isPacked:a,shape:r,dtype:s}=n;if(t!=null){let d=v.sizeFromShape(r),c=t[0]*t[1]*4;v.assert(d<=c,()=>"customTexShape is too small. Row * Column * 4 should be equal or larger than the size of the tensor data.")}let i=Mp(r),o;a?o=new PZ(i):o=new MZ(i);let l=!0,u=[t!=null?t:eh(i)],p=this.runWebGLProgram(o,[{shape:i,dtype:s,dataId:e}],s,u,l,t);return{dtype:s,shape:r,dataId:p.dataId}}runWebGLProgram(e,t,n,a,r=!1,s){let i=this.makeTensorInfo(e.outputShape,n),o=this.texData.get(i.dataId);if(e.packedOutput&&(o.isPacked=!0),e.outPackingScheme===Jp.DENSE){let g=s!=null?s:eh(e.outputShape);o.texShape=g.map(b=>b*2)}if(e.outTexUsage!=null&&(o.usage=e.outTexUsage),v.sizeFromShape(i.shape)===0)return o.values=v.getTypedArrayFromDType(i.dtype,0),i;let l=[],u=t.map(g=>{if(g.dtype==="complex64")throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");let b=this.texData.get(g.dataId);if(b.texture==null){if(!e.packedInputs&&v.sizeFromShape(g.shape)<=H().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:g.shape,texData:null,isUniform:!0,uniformValues:b.values};e.packedInputs&&(b.isPacked=!0,b.shape=g.shape)}if(this.uploadToGPU(g.dataId),!!b.isPacked!=!!e.packedInputs)g=b.isPacked?this.unpackTensor(g):this.packTensor(g),l.push(g),b=this.texData.get(g.dataId);else if(b.isPacked&&!Qp(b.shape,g.shape)){let y=g,x=g.shape;g.shape=b.shape,g=this.packedReshape(g,x),l.push(g),b=this.texData.get(g.dataId),y.shape=x}return{shape:g.shape,texData:b,isUniform:!1}});this.uploadToGPU(i.dataId);let p={shape:i.shape,texData:o,isUniform:!1},d=RZ(e,u,p),c=this.getAndSaveBinary(d,()=>FZ(this.gpgpu,e,u,p)),h=this.activeTimers!=null,m;h&&(m=this.startTimer()),H().get("ENGINE_COMPILE_ONLY")||DZ(this.gpgpu,c,u,p,a),l.forEach(g=>this.disposeIntermediateTensorInfo(g)),h&&(m=this.endTimer(m),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(m)}));let f=H().get("WEBGL_FLUSH_THRESHOLD");if(f>0){let g=v.now();g-this.lastGlFlushTime>f&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=g)}if(!H().getBool("WEBGL_LAZILY_UNPACK")&&o.isPacked&&r===!1){let g=this.unpackTensor(i);return this.disposeIntermediateTensorInfo(i),g}return i}compileAndRun(e,t,n,a,r=!1){return n=n||t[0].dtype,this.runWebGLProgram(e,t,n,a,r)}getAndSaveBinary(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]}getTextureManager(){return this.textureManager}dispose(){this.disposed||(H().getBool("IS_TEST")||Object.keys(this.binaryCache).forEach(e=>{this.gpgpu.deleteProgram(this.binaryCache[e].webGLProgram),delete this.binaryCache[e]}),this.textureManager.dispose(),this.canvas!=null&&typeof HTMLCanvasElement!="undefined"&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0)}floatPrecision(){return this.floatPrecisionValue==null&&(this.floatPrecisionValue=P(()=>{if(!H().get("WEBGL_RENDER_FLOAT32_ENABLED")){let e=H().getBool("DEBUG");H().set("DEBUG",!1);let t=this.abs(ye(1e-8)).dataSync()[0];if(H().set("DEBUG",e),t>0)return 32}return 16})),this.floatPrecisionValue}epsilon(){return this.floatPrecision()===32?Y7:Z7}uploadToGPU(e){let t=this.texData.get(e),{shape:n,dtype:a,values:r,texture:s,usage:i,isPacked:o}=t;if(s!=null)return;let l=this.activeTimers!=null,u;l&&(u=v.now());let p=t.texShape;if(p==null&&(p=o_(n,o),t.texShape=p),r!=null){let d=Mp(n),c,h=p[1],m=p[0],f=r instanceof Uint8Array||r instanceof Uint8ClampedArray;(o||!f)&&([h,m]=Ou(p[0],p[1])),o?c=new WZ(d,f):c=new jk(d,f);let g=f?[m,h]:p,b=this.makeTensorInfo(g,a),y=this.texData.get(b.dataId);f?y.usage=pa.PIXELS:y.usage=pa.UPLOAD,y.texShape=g,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(b.dataId),h,m,r);let x=[[m,h]],w=!0,I=this.runWebGLProgram(c,[b],a,x,w),T=this.texData.get(I.dataId);t.texShape=T.texShape,t.isPacked=T.isPacked,t.usage=T.usage,H().get("ENGINE_COMPILE_ONLY")?this.disposeData(I.dataId):(t.texture=T.texture,t.values=null,this.texData.delete(I.dataId)),this.disposeIntermediateTensorInfo(b),l&&(this.uploadWaitMs+=v.now()-u)}else{let d=this.acquireTexture(p,i,a,o);t.texture=d}}convertAndCacheOnCPU(e,t){let n=this.texData.get(e),{dtype:a}=n;return this.releaseGPUData(e),t!=null&&(n.values=nJ(t,a)),n.values}acquireTexture(e,t,n,a){if(this.numBytesInGPU+=this.computeBytes(e,n),!this.warnedAboutMemory&&this.numBytesInGPU>this.numMBBeforeWarning*1024*1024){let r=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn(`High memory usage in GPU: ${r} MB, most likely due to a memory leak`)}return this.textureManager.acquireTexture(e,t,a)}computeBytes(e,t){return e[0]*e[1]*v.bytesPerElement(t)}checkCompileCompletion(){for(let[,e]of Object.entries(this.binaryCache))this.checkCompletion_(e)}async checkCompileCompletionAsync(){let e=[];if(this.gpgpu.parallelCompilationExtension){for(let[,t]of Object.entries(this.binaryCache))e.push(this.checkCompletionAsync_(t));return Promise.all(e)}else{for(let[,t]of Object.entries(this.binaryCache)){let n=new Promise(a=>{try{this.checkCompletion_(t),a(!0)}catch(r){throw r}});e.push(n)}return Promise.all(e)}}async checkCompletionAsync_(e){return this.gpgpu.gl.getProgramParameter(e.webGLProgram,this.gpgpu.parallelCompilationExtension.COMPLETION_STATUS_KHR)?this.checkCompletion_(e):(await Gv(),this.checkCompletionAsync_(e))}checkCompletion_(e){if(this.gpgpu.gl.getProgramParameter(e.webGLProgram,this.gpgpu.gl.LINK_STATUS)===!1)throw console.log(this.gpgpu.gl.getProgramInfoLog(e.webGLProgram)),this.gpgpu.gl.getShaderParameter(e.fragmentShader,this.gpgpu.gl.COMPILE_STATUS)===!1?(V0(e.source,this.gpgpu.gl.getShaderInfoLog(e.fragmentShader)),new Error("Failed to compile fragment shader.")):new Error("Failed to link vertex and fragment shaders.");return!0}getUniformLocations(){for(let[,e]of Object.entries(this.binaryCache)){let{uniformLocations:t,customUniformLocations:n,infLoc:a,nanLoc:r,inShapesLocations:s,inTexShapesLocations:i,outShapeLocation:o,outShapeStridesLocation:l,outTexShapeLocation:u}=y_(this.gpgpu,e.program,e.webGLProgram);e.uniformLocations=t,e.customUniformLocations=n,e.infLoc=a,e.nanLoc=r,e.inShapesLocations=s,e.inTexShapesLocations=i,e.outShapeLocation=o,e.outShapeStridesLocation=l,e.outTexShapeLocation=u}}createTensorFromTexture(e,t,n){let{texture:a,height:r,width:s,channels:i}=e,o=Na().backend;if(!o.gpgpu.gl.isTexture(a))throw new Error("The texture is invalid. Also, please make sure the texture and the TFJS WebGL backend are using the same canvas. If you want to use your own custom canvas, you have to create and use the custom TFJS WebGL backend created from the canvas through 'new tf.MathBackendWebGL(customCanvas)'.");let l=o.writeTexture(a,t,n,r,s,i);return Na().makeTensorFromDataId(l,t,n,o)}};Rf.nextDataId=0;function nJ(e,t){if(t==="float32"||t==="complex64")return e;if(t==="int32"||t==="bool"){let n=t==="int32"?new Int32Array(e.length):new Uint8Array(e.length);for(let a=0;anew Rf,2);var rJ={forceHalfFloat:B_},J0=` if (isnan(a)) return a; if (isnan(b)) return b; -`,bl=class{constructor(e,t,n){this.variableNames=["A","B"],this.outputShape=N.assertAndGetBroadcastShape(t,n),this.enableShapeUniforms=Nn(this.outputShape.length),this.userCode=` +`,xl=class{constructor(e,t,n){this.variableNames=["A","B"],this.outputShape=N.assertAndGetBroadcastShape(t,n),this.enableShapeUniforms=_n(this.outputShape.length),this.userCode=` float binaryOperation(float a, float b) { ${e} } @@ -1256,12 +1250,12 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, float b = getBAtOutCoords(); setOutput(binaryOperation(a, b)); } - `}},td=` + `}},nd=` result.r = isNaN.r ? NAN : result.r; result.g = isNaN.g ? NAN : result.g; result.b = isNaN.b ? NAN : result.b; result.a = isNaN.a ? NAN : result.a; -`,nd=class{constructor(e,t,n,a=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=N.assertAndGetBroadcastShape(t,n);let r=this.outputShape.length;this.enableShapeUniforms=Nn(r);let s="";if(a)if(r===0||v.sizeFromShape(this.outputShape)===1)s=` +`,ad=class{constructor(e,t,n,a=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=N.assertAndGetBroadcastShape(t,n);let r=this.outputShape.length;this.enableShapeUniforms=_n(r);let s="";if(a)if(r===0||v.sizeFromShape(this.outputShape)===1)s=` result.y = 0.; result.z = 0.; result.w = 0.; @@ -1305,13 +1299,13 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, setOutput(result); } - `}};function ta(e){let{inputs:t,backend:n}=e,{x:a}=t;return n.incRef(a.dataId),{dataId:a.dataId,shape:a.shape,dtype:a.dtype}}var GZ={kernelName:Di,backendName:"webgl",kernelFunc:ta};function Is(e){let{inputs:t,backend:n}=e,{real:a,imag:r}=t,s=n.makeTensorInfo(a.shape,"complex64"),i=n.texData.get(s.dataId),o=ta({inputs:{x:a},backend:n}),l=ta({inputs:{x:r},backend:n});return i.complexTensorInfos={real:o,imag:l},s}var HZ={kernelName:Jh,backendName:"webgl",kernelFunc:Is},R_="return (a < 0.) ? b * a : a;",M_=` + `}};function na(e){let{inputs:t,backend:n}=e,{x:a}=t;return n.incRef(a.dataId),{dataId:a.dataId,shape:a.shape,dtype:a.dtype}}var sJ={kernelName:Di,backendName:"webgl",kernelFunc:na};function Is(e){let{inputs:t,backend:n}=e,{real:a,imag:r}=t,s=n.makeTensorInfo(a.shape,"complex64"),i=n.texData.get(s.dataId),o=na({inputs:{x:a},backend:n}),l=na({inputs:{x:r},backend:n});return i.complexTensorInfos={real:o,imag:l},s}var iJ={kernelName:Qh,backendName:"webgl",kernelFunc:Is},V_="return (a < 0.) ? b * a : a;",U_=` vec4 aLessThanZero = vec4(lessThan(a, vec4(0.))); return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a); -`;function jZ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{alpha:s}=a,i=n.makeTensorInfo([],"float32",v.createScalarValue(s,"float32")),o=H().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new nd(M_,r.shape,i.shape):new bl(R_,r.shape,i.shape),l=n.runWebGLProgram(o,[r,i],"float32");return n.disposeIntermediateTensorInfo(i),l}var qZ={kernelName:Ri,backendName:"webgl",kernelFunc:jZ},P_="return (a < 0.) ? b * a : a;",O_=` +`;function oJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{alpha:s}=a,i=n.makeTensorInfo([],"float32",v.createScalarValue(s,"float32")),o=H().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new ad(U_,r.shape,i.shape):new xl(V_,r.shape,i.shape),l=n.runWebGLProgram(o,[r,i],"float32");return n.disposeIntermediateTensorInfo(i),l}var lJ={kernelName:Ri,backendName:"webgl",kernelFunc:oJ},G_="return (a < 0.) ? b * a : a;",H_=` vec4 aLessThanZero = vec4(lessThan(a, vec4(0.))); return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a); -`;function KZ(e){let{inputs:t,backend:n}=e,{x:a,alpha:r}=t,s=H().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new nd(O_,a.shape,r.shape):new bl(P_,a.shape,r.shape);return n.runWebGLProgram(s,[a,r],"float32")}var XZ={kernelName:qi,backendName:"webgl",kernelFunc:KZ},Wu="if (isnan(x)) return x;";function Ye({opSnippet:e,packedOpSnippet:t,cpuKernelImpl:n,dtype:a}){return({inputs:r,backend:s})=>{let{x:i}=r,o=s,l=a||i.dtype;if(o.shouldExecuteOnCPU([i])&&n!=null){let d=o.texData.get(i.dataId),c=n(d.values,l);return o.makeTensorInfo(i.shape,l,c)}let u=H().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&t!=null,p;return u?p=new js(i.shape,t):p=new Sr(i.shape,e),o.runWebGLProgram(p,[i],l)}}function un({opSnippet:e,packedOpSnippet:t,checkOutOfBounds:n=!1,supportsComplex:a=!1,cpuKernelImpl:r,dtype:s}){return({inputs:i,backend:o})=>{let{a:l,b:u}=i,p=o;if(a&&l.dtype==="complex64"){let m=p.texData.get(l.dataId),f=p.texData.get(u.dataId),[g,b]=[[m.complexTensorInfos.real,f.complexTensorInfos.real],[m.complexTensorInfos.imag,f.complexTensorInfos.imag]].map(x=>{let[w,I]=x,T={dataId:w.dataId,dtype:w.dtype,shape:l.shape},C={dataId:I.dataId,dtype:I.dtype,shape:u.shape},E=new bl(e,l.shape,u.shape);return p.runWebGLProgram(E,[T,C],ha(w.dtype,I.dtype))}),y=Is({inputs:{real:g,imag:b},backend:p});return p.disposeIntermediateTensorInfo(g),p.disposeIntermediateTensorInfo(b),y}let d=s||ha(l.dtype,u.dtype);if((l.dtype==="string"||u.dtype==="string"||p.shouldExecuteOnCPU([l,u]))&&r!=null){let m=p.texData.get(l.dataId).values,f=p.texData.get(u.dataId).values,g=l.dtype==="string"?N.fromUint8ToStringArray(m):m,b=l.dtype==="string"?N.fromUint8ToStringArray(f):f,[y,x]=r(l.shape,u.shape,g,b,d),w=p.makeTensorInfo(x,d),I=p.texData.get(w.dataId);return I.values=y,w}let c=H().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&t!=null,h;return c?h=new nd(t,l.shape,u.shape,n):h=new bl(e,l.shape,u.shape),p.runWebGLProgram(h,[l,u],d)}}function Jp(e,t=!1){if(e==="linear")return t?_Z:IZ;if(e==="relu")return t?AZ:TZ;if(e==="elu")return t?EZ:SZ;if(e==="relu6")return t?$Z:NZ;if(e==="prelu")return t?O_:P_;if(e==="leakyrelu")return t?M_:R_;if(e==="sigmoid")return t?FZ:CZ;throw new Error(`Activation ${e} has not been implemented for the WebGL backend.`)}var L_=class{constructor(e,t,n,a=!1,r=!1,s=!1,i=null,o=!1,l=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n,this.enableShapeUniforms=Nn(this.outputShape.length);let u=a?e[1]:e[2],p=Math.ceil(u/2),d=a?"i * 2, rc.y":"rc.y, i * 2",c=r?"rc.z, i * 2":"i * 2, rc.z",h=a?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],m=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],f="",g="";i&&(o?f=`vec4 activation(vec4 a) { +`;function uJ(e){let{inputs:t,backend:n}=e,{x:a,alpha:r}=t,s=H().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new ad(H_,a.shape,r.shape):new xl(G_,a.shape,r.shape);return n.runWebGLProgram(s,[a,r],"float32")}var pJ={kernelName:qi,backendName:"webgl",kernelFunc:uJ},Uu="if (isnan(x)) return x;";function Ye({opSnippet:e,packedOpSnippet:t,cpuKernelImpl:n,dtype:a}){return({inputs:r,backend:s})=>{let{x:i}=r,o=s,l=a||i.dtype;if(o.shouldExecuteOnCPU([i])&&n!=null){let d=o.texData.get(i.dataId),c=n(d.values,l);return o.makeTensorInfo(i.shape,l,c)}let u=H().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&t!=null,p;return u?p=new js(i.shape,t):p=new Sr(i.shape,e),o.runWebGLProgram(p,[i],l)}}function pn({opSnippet:e,packedOpSnippet:t,checkOutOfBounds:n=!1,supportsComplex:a=!1,cpuKernelImpl:r,dtype:s}){return({inputs:i,backend:o})=>{let{a:l,b:u}=i,p=o;if(a&&l.dtype==="complex64"){let m=p.texData.get(l.dataId),f=p.texData.get(u.dataId),[g,b]=[[m.complexTensorInfos.real,f.complexTensorInfos.real],[m.complexTensorInfos.imag,f.complexTensorInfos.imag]].map(x=>{let[w,I]=x,T={dataId:w.dataId,dtype:w.dtype,shape:l.shape},C={dataId:I.dataId,dtype:I.dtype,shape:u.shape},E=new xl(e,l.shape,u.shape);return p.runWebGLProgram(E,[T,C],ma(w.dtype,I.dtype))}),y=Is({inputs:{real:g,imag:b},backend:p});return p.disposeIntermediateTensorInfo(g),p.disposeIntermediateTensorInfo(b),y}let d=s||ma(l.dtype,u.dtype);if((l.dtype==="string"||u.dtype==="string"||p.shouldExecuteOnCPU([l,u]))&&r!=null){let m=p.texData.get(l.dataId).values,f=p.texData.get(u.dataId).values,g=l.dtype==="string"?N.fromUint8ToStringArray(m):m,b=l.dtype==="string"?N.fromUint8ToStringArray(f):f,[y,x]=r(l.shape,u.shape,g,b,d),w=p.makeTensorInfo(x,d),I=p.texData.get(w.dataId);return I.values=y,w}let c=H().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&t!=null,h;return c?h=new ad(t,l.shape,u.shape,n):h=new xl(e,l.shape,u.shape),p.runWebGLProgram(h,[l,u],d)}}function ec(e,t=!1){if(e==="linear")return t?U7:L7;if(e==="relu")return t?H7:W7;if(e==="elu")return t?G7:z7;if(e==="relu6")return t?j7:B7;if(e==="prelu")return t?H_:G_;if(e==="leakyrelu")return t?U_:V_;if(e==="sigmoid")return t?q7:V7;throw new Error(`Activation ${e} has not been implemented for the WebGL backend.`)}var j_=class{constructor(e,t,n,a=!1,r=!1,s=!1,i=null,o=!1,l=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n,this.enableShapeUniforms=_n(this.outputShape.length);let u=a?e[1]:e[2],p=Math.ceil(u/2),d=a?"i * 2, rc.y":"rc.y, i * 2",c=r?"rc.z, i * 2":"i * 2, rc.z",h=a?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],m=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],f="",g="";i&&(o?f=`vec4 activation(vec4 a) { vec4 b = getPreluActivationWeightsAtOutCoords(); ${i} }`:l?f=`vec4 activation(vec4 a) { @@ -1350,7 +1344,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, setOutput(result); } - `}},Gk={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"},Hk=class{constructor(e,t,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=N.assertAndGetBroadcastShape(t,n),this.userCode=` + `}},Zk={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"},Jk=class{constructor(e,t,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=N.assertAndGetBroadcastShape(t,n),this.userCode=` float binaryOpComplex( float areal, float aimag, float breal, float bimag) { ${e} @@ -1363,7 +1357,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, float bimag = getBImagAtOutCoords(); setOutput(binaryOpComplex(areal, aimag, breal, bimag)); } - `}},jk="return a * b;";function X0(e){let{inputs:t,backend:n}=e,{a,b:r}=t,s=N.upcastType(a.dtype,r.dtype);if(a.dtype==="complex64"){let o=n.texData.get(a.dataId),l=n.texData.get(r.dataId),u=new Hk(Gk.REAL,a.shape,r.shape),p=new Hk(Gk.IMAG,a.shape,r.shape),d=[{dataId:o.complexTensorInfos.real.dataId,dtype:o.complexTensorInfos.real.dtype,shape:a.shape},{dataId:o.complexTensorInfos.imag.dataId,dtype:o.complexTensorInfos.imag.dtype,shape:a.shape},{dataId:l.complexTensorInfos.real.dataId,dtype:l.complexTensorInfos.real.dtype,shape:r.shape},{dataId:l.complexTensorInfos.imag.dataId,dtype:l.complexTensorInfos.imag.dtype,shape:r.shape}],c=n.runWebGLProgram(u,d,"float32"),h=n.runWebGLProgram(p,d,"float32"),m=Is({inputs:{real:c,imag:h},backend:n});return n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(h),m}if(n.shouldExecuteOnCPU([a,r])){let o=n.texData.get(a.dataId),l=n.texData.get(r.dataId),[u,p]=K7(a.shape,r.shape,o.values,l.values,s),d=n.makeTensorInfo(p,s),c=n.texData.get(d.dataId);return c.values=u,d}let i;return H().getBool("WEBGL_PACK_BINARY_OPERATIONS")?i=new nd(jk,a.shape,r.shape):i=new bl(jk,a.shape,r.shape),n.runWebGLProgram(i,[a,r],s)}var YZ={kernelName:Ui,backendName:"webgl",kernelFunc:X0};function ZZ(e,t,n){let a=[pi(e.shape),...ci(e.shape)],r={dtype:e.dtype,shape:a,dataId:e.dataId},s=[pi(t),...ci(t)],i=new F_(s,a),o=!0,l=[a],u=n.runWebGLProgram(i,[r],e.dtype,l,o);return{dataId:u.dataId,shape:t,dtype:u.dtype}}function de(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{shape:s}=a,i=n,o=v.sizeFromShape(r.shape),l=v.inferFromImplicitShape(s,o),u=v.sizeFromShape(l);v.assert(o===u,()=>`The new shape (${l}) has ${u} elements and the old shape (${r.shape}) has ${o} elements. The new shape and old shape must have the same number of elements.`);let p=i.texData.get(r.dataId);return p.isPacked&&!Zp(r.shape,l)&&!(p.texture!==null&&Zp(p.shape,l))?ZZ(r,l,i):(i.incRef(r.dataId),{dataId:r.dataId,shape:l,dtype:r.dtype})}var JZ={kernelName:iu,backendName:"webgl",kernelFunc:de},qk=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:a,inSize:r,outSize:s}=e;this.outputShape=[a,s];let i=Math.floor(n/4)*4,o=n%4,l="sumValue += dot(values, ones);";if(t!=null){let p=1/t;l=`sumValue += dot(values * ${v.isInt(p)?p.toPrecision(2):p}, ones);`}let u="";r%n>0&&(u=` + `}},Qk="return a * b;";function Q0(e){let{inputs:t,backend:n}=e,{a,b:r}=t,s=N.upcastType(a.dtype,r.dtype);if(a.dtype==="complex64"){let o=n.texData.get(a.dataId),l=n.texData.get(r.dataId),u=new Jk(Zk.REAL,a.shape,r.shape),p=new Jk(Zk.IMAG,a.shape,r.shape),d=[{dataId:o.complexTensorInfos.real.dataId,dtype:o.complexTensorInfos.real.dtype,shape:a.shape},{dataId:o.complexTensorInfos.imag.dataId,dtype:o.complexTensorInfos.imag.dtype,shape:a.shape},{dataId:l.complexTensorInfos.real.dataId,dtype:l.complexTensorInfos.real.dtype,shape:r.shape},{dataId:l.complexTensorInfos.imag.dataId,dtype:l.complexTensorInfos.imag.dtype,shape:r.shape}],c=n.runWebGLProgram(u,d,"float32"),h=n.runWebGLProgram(p,d,"float32"),m=Is({inputs:{real:c,imag:h},backend:n});return n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(h),m}if(n.shouldExecuteOnCPU([a,r])){let o=n.texData.get(a.dataId),l=n.texData.get(r.dataId),[u,p]=l7(a.shape,r.shape,o.values,l.values,s),d=n.makeTensorInfo(p,s),c=n.texData.get(d.dataId);return c.values=u,d}let i;return H().getBool("WEBGL_PACK_BINARY_OPERATIONS")?i=new ad(Qk,a.shape,r.shape):i=new xl(Qk,a.shape,r.shape),n.runWebGLProgram(i,[a,r],s)}var cJ={kernelName:Ui,backendName:"webgl",kernelFunc:Q0};function dJ(e,t,n){let a=[pi(e.shape),...ci(e.shape)],r={dtype:e.dtype,shape:a,dataId:e.dataId},s=[pi(t),...ci(t)],i=new W_(s,a),o=!0,l=[a],u=n.runWebGLProgram(i,[r],e.dtype,l,o);return{dataId:u.dataId,shape:t,dtype:u.dtype}}function de(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{shape:s}=a,i=n,o=v.sizeFromShape(r.shape),l=v.inferFromImplicitShape(s,o),u=v.sizeFromShape(l);v.assert(o===u,()=>`The new shape (${l}) has ${u} elements and the old shape (${r.shape}) has ${o} elements. The new shape and old shape must have the same number of elements.`);let p=i.texData.get(r.dataId);return p.isPacked&&!Qp(r.shape,l)&&!(p.texture!==null&&Qp(p.shape,l))?dJ(r,l,i):(i.incRef(r.dataId),{dataId:r.dataId,shape:l,dtype:r.dtype})}var hJ={kernelName:lu,backendName:"webgl",kernelFunc:de},eI=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:a,inSize:r,outSize:s}=e;this.outputShape=[a,s];let i=Math.floor(n/4)*4,o=n%4,l="sumValue += dot(values, ones);";if(t!=null){let p=1/t;l=`sumValue += dot(values * ${v.isInt(p)?p.toPrecision(2):p}, ones);`}let u="";r%n>0&&(u=` if (inIdx < 0 || inIdx >= ${r}) { return 0.0; } @@ -1416,7 +1410,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, } setOutput(sumValue); } - `}},QZ=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:a,inSize:r,outSize:s}=e;this.outputShape=[a,s];let i="0.0",o="";t==="prod"?i="1.0":t==="min"?(i="1.0 / 1e-20",o="min"):t==="max"&&(i="-1.0 / 1e-20",o="max");let l=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="sum"?l="sumValue":t==="prod"?l="prodValue":t==="all"?l="allValue":t==="any"&&(l="anyValue");let u=Math.floor(n/4)*4,p=n%4,d=` + `}},mJ=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:a,inSize:r,outSize:s}=e;this.outputShape=[a,s];let i="0.0",o="";t==="prod"?i="1.0":t==="min"?(i="1.0 / 1e-20",o="min"):t==="max"&&(i="-1.0 / 1e-20",o="max");let l=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="sum"?l="sumValue":t==="prod"?l="prodValue":t==="all"?l="allValue":t==="any"&&(l="anyValue");let u=Math.floor(n/4)*4,p=n%4,d=` if (${t==="sum"}) { sumValue += dot(values, ones); } else if (${t==="prod"}) { @@ -1508,12 +1502,12 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, } setOutput(${l}); } - `}};function eJ(e){let t=[];for(;t.length===0||t[t.length-1].outSize!==1;){let n=t.length?t[t.length-1].outSize:e[1],a=N.computeOptimalWindowSize(n);t.push({inSize:n,windowSize:a,outSize:Math.ceil(n/a)})}return t}function wo(e,t,n,a){let r=eJ(e.shape),s=e;for(let i=0;i6)throw Error(`Transpose for rank ${t} is not yet supported`);let n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],a=new Array(t);for(let r=0;r6)throw Error(`Packed transpose for rank ${this.rank} is not yet supported.`);let a=gt(this.rank),r=$_("rc",this.rank),s=new Array(this.rank);for(let u=0;u6)throw Error(`Transpose for rank ${t} is not yet supported`);let n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],a=new Array(t);for(let r=0;r6)throw Error(`Packed transpose for rank ${this.rank} is not yet supported.`);let a=gt(this.rank),r=z_("rc",this.rank),s=new Array(this.rank);for(let u=0;u`Error in matMul: inner shapes (${d}) and (${c}) of Tensors with shapes ${e.shape} and ${t.shape} and transposeA=${n} and transposeB=${a} must match.`);let w=n?[b,d,h]:[b,h,d],I=a?[y,m,c]:[y,c,m],T=de({inputs:{x:e},backend:r,attrs:{shape:w}}),C=de({inputs:{x:t},backend:r,attrs:{shape:I}}),E=[T,C],A=Math.max(b,y),R=n?T.shape[1]:T.shape[2],F=s!=null,S=i!=null,M=l==="leakyrelu",W=l!=null?Jp(l,!0):null,U=F||S||M||W!=null,G;if((h===1||m===1)&&R>z_&&U===!1){let K=T,Z=C;n&&(K=kn({inputs:{x:T},backend:r,attrs:{perm:[0,2,1]}}),E.push(K)),a&&(Z=kn({inputs:{x:C},backend:r,attrs:{perm:[0,2,1]}}),E.push(Z));let Q=m!==1,ee=m===1,ae=K;Q&&(ae=de({inputs:{x:K},backend:r,attrs:{shape:[A,R,1]}}),E.push(ae));let te=m===1?2:1,le=Z;ee&&(le=de({inputs:{x:Z},backend:r,attrs:{shape:[A,1,R]}}),E.push(le));let ie=X0({inputs:{a:ae,b:le},backend:r});G=Rf({inputs:{x:ie},backend:r,attrs:{axis:te,keepDims:!0}}),E.push(ie)}else{let K=ha(e.dtype,t.dtype),Z=new L_(w,I,[A,h,m],n,a,F,W,S,M),Q=[T,C];if(s!=null&&Q.push(s),S&&Q.push(i),M){let ee=r.makeTensorInfo([],"float32",v.createScalarValue(o,"float32"));Q.push(ee),E.push(ee)}G=r.runWebGLProgram(Z,Q,K)}let q=de({inputs:{x:G},backend:r,attrs:{shape:x}});E.push(G);for(let K of E)r.disposeIntermediateTensorInfo(K);return q}function oJ(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s,bias:i,preluActivationWeights:o}=t,{transposeA:l,transposeB:u,activation:p,leakyreluAlpha:d}=a;return Bh({a:r,b:s,transposeA:l,transposeB:u,backend:n,bias:i,preluActivationWeights:o,leakyreluAlpha:d,activation:p})}var lJ={kernelName:Js,backendName:"webgl",kernelFunc:oJ},Kk="return abs(x);";function uJ(e){let{inputs:t,backend:n}=e,{x:a}=t;if(n.shouldExecuteOnCPU([a])&&a.dtype!=="complex64"){let s=n.texData.get(a.dataId),i=E_(s.values);return n.makeTensorInfo(a.shape,a.dtype,i)}let r;return H().getBool("WEBGL_PACK_UNARY_OPERATIONS")?r=new js(a.shape,Kk):r=new Sr(a.shape,Kk),n.runWebGLProgram(r,[a],a.dtype)}var pJ={kernelName:xl,backendName:"webgl",kernelFunc:uJ},cJ=Fa+` + `}};function Mf(e,t,n){let a=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new yJ(e.shape,t):new gJ(e.shape,t);return n.runWebGLProgram(a,[e],e.dtype)}function xJ(e,t,n,a){let r=t,s=e.shape.length,i=v.parseAxisParam(r,e.shape),o=i,l=N.getAxesPermutation(o,s),u=l!=null,p=e;u&&(p=Mf(e,l,a),o=N.getInnerMostAxes(o.length,s)),N.assertAxesAreInnerMostDims("sum",o,s);let[d,c]=N.computeOutAndReduceShapes(p.shape,o),h=d;n&&(h=N.expandShapeToKeepDim(d,i));let m=v.sizeFromShape(c),f=v.sizeFromShape(e.shape)/m,g=de({inputs:{x:p},attrs:{shape:[f,m]},backend:a}),b=_m(e.dtype),y=ko(g,b,"sum",a),x=de({inputs:{x:y},attrs:{shape:h},backend:a});return a.disposeIntermediateTensorInfo(g),a.disposeIntermediateTensorInfo(y),u&&a.disposeIntermediateTensorInfo(p),x}function Pf(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a;return xJ(r,s,i,n)}var vJ={kernelName:so,backendName:"webgl",kernelFunc:Pf};function In(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{perm:s}=a,i=n,o=r.shape.length,l=new Array(o);for(let p=0;p`Error in matMul: inner shapes (${d}) and (${c}) of Tensors with shapes ${e.shape} and ${t.shape} and transposeA=${n} and transposeB=${a} must match.`);let w=n?[b,d,h]:[b,h,d],I=a?[y,m,c]:[y,c,m],T=de({inputs:{x:e},backend:r,attrs:{shape:w}}),C=de({inputs:{x:t},backend:r,attrs:{shape:I}}),E=[T,C],A=Math.max(b,y),R=n?T.shape[1]:T.shape[2],F=s!=null,S=i!=null,M=l==="leakyrelu",B=l!=null?ec(l,!0):null,U=F||S||M||B!=null,G;if((h===1||m===1)&&R>q_&&U===!1){let K=T,Z=C;n&&(K=In({inputs:{x:T},backend:r,attrs:{perm:[0,2,1]}}),E.push(K)),a&&(Z=In({inputs:{x:C},backend:r,attrs:{perm:[0,2,1]}}),E.push(Z));let Q=m!==1,ee=m===1,ae=K;Q&&(ae=de({inputs:{x:K},backend:r,attrs:{shape:[A,R,1]}}),E.push(ae));let te=m===1?2:1,le=Z;ee&&(le=de({inputs:{x:Z},backend:r,attrs:{shape:[A,1,R]}}),E.push(le));let ie=Q0({inputs:{a:ae,b:le},backend:r});G=Pf({inputs:{x:ie},backend:r,attrs:{axis:te,keepDims:!0}}),E.push(ie)}else{let K=ma(e.dtype,t.dtype),Z=new j_(w,I,[A,h,m],n,a,F,B,S,M),Q=[T,C];if(s!=null&&Q.push(s),S&&Q.push(i),M){let ee=r.makeTensorInfo([],"float32",v.createScalarValue(o,"float32"));Q.push(ee),E.push(ee)}G=r.runWebGLProgram(Z,Q,K)}let q=de({inputs:{x:G},backend:r,attrs:{shape:x}});E.push(G);for(let K of E)r.disposeIntermediateTensorInfo(K);return q}function kJ(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s,bias:i,preluActivationWeights:o}=t,{transposeA:l,transposeB:u,activation:p,leakyreluAlpha:d}=a;return Bh({a:r,b:s,transposeA:l,transposeB:u,backend:n,bias:i,preluActivationWeights:o,leakyreluAlpha:d,activation:p})}var IJ={kernelName:Js,backendName:"webgl",kernelFunc:kJ},tI="return abs(x);";function SJ(e){let{inputs:t,backend:n}=e,{x:a}=t;if(n.shouldExecuteOnCPU([a])&&a.dtype!=="complex64"){let s=n.texData.get(a.dataId),i=O_(s.values);return n.makeTensorInfo(a.shape,a.dtype,i)}let r;return H().getBool("WEBGL_PACK_UNARY_OPERATIONS")?r=new js(a.shape,tI):r=new Sr(a.shape,tI),n.runWebGLProgram(r,[a],a.dtype)}var TJ={kernelName:wl,backendName:"webgl",kernelFunc:SJ},NJ=Da+` if (abs(x) > 1.) { return NAN; } return acos(x); -`,dJ=Ye({opSnippet:cJ}),hJ={kernelName:vl,backendName:"webgl",kernelFunc:dJ},mJ=Fa+` +`,CJ=Ye({opSnippet:NJ}),_J={kernelName:kl,backendName:"webgl",kernelFunc:CJ},EJ=Da+` if (x < 1.0) return NAN; -return log(x + sqrt(x * x - 1.0));`,fJ=Ye({opSnippet:mJ}),gJ={kernelName:wl,backendName:"webgl",kernelFunc:fJ},Xk="return a + b;",bJ=un({opSnippet:Xk,packedOpSnippet:Xk,supportsComplex:!0,cpuKernelImpl:_7}),yJ={kernelName:ps,backendName:"webgl",kernelFunc:bJ},xJ=class{constructor(e,t){this.outputShape=[],this.outputShape=e,this.variableNames=t.map((r,s)=>`T${s}`);let n=[];this.variableNames.forEach(r=>{n.push(`float v${r} = get${r}AtOutCoords();`)});let a=this.variableNames.map(r=>`v${r}`).join(" + ");this.userCode=` +return log(x + sqrt(x * x - 1.0));`,AJ=Ye({opSnippet:EJ}),$J={kernelName:Il,backendName:"webgl",kernelFunc:AJ},nI="return a + b;",FJ=pn({opSnippet:nI,packedOpSnippet:nI,supportsComplex:!0,cpuKernelImpl:VZ}),DJ={kernelName:cs,backendName:"webgl",kernelFunc:FJ},RJ=class{constructor(e,t){this.outputShape=[],this.outputShape=e,this.variableNames=t.map((r,s)=>`T${s}`);let n=[];this.variableNames.forEach(r=>{n.push(`float v${r} = get${r}AtOutCoords();`)});let a=this.variableNames.map(r=>`v${r}`).join(" + ");this.userCode=` void main() { ${n.join(` `)} @@ -1545,7 +1539,7 @@ return log(x + sqrt(x * x - 1.0));`,fJ=Ye({opSnippet:mJ}),gJ={kernelName:wl,back float result = ${a}; setOutput(result); } - `}},vJ=class{constructor(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map((r,s)=>`T${s}`);let n=[];this.variableNames.forEach(r=>{n.push(`vec4 v${r} = get${r}AtOutCoords();`)});let a=this.variableNames.map(r=>`v${r}`).join(" + ");this.userCode=` + `}},MJ=class{constructor(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map((r,s)=>`T${s}`);let n=[];this.variableNames.forEach(r=>{n.push(`vec4 v${r} = get${r}AtOutCoords();`)});let a=this.variableNames.map(r=>`v${r}`).join(" + ");this.userCode=` void main() { ${n.join(` `)} @@ -1553,7 +1547,7 @@ return log(x + sqrt(x * x - 1.0));`,fJ=Ye({opSnippet:mJ}),gJ={kernelName:wl,back vec4 result = ${a}; setOutput(result); } - `}};function ch(e){let{inputs:t,backend:n}=e,a=t;if(a.length===1)return ta({inputs:{x:a[0]},backend:n});if(a.length>H().get("WEBGL_MAX_TEXTURES_IN_SHADER")){let o=Math.floor(a.length/2),l=ch({inputs:a.slice(0,o),backend:n}),u=ch({inputs:a.slice(o),backend:n});return ch({inputs:[l,u],backend:n})}let r=a.map(o=>o.dtype).reduce((o,l)=>ha(o,l)),s=a.map(o=>o.shape),i=H().getBool("WEBGL_PACK")?new vJ(a[0].shape,s):new xJ(a[0].shape,s);return n.runWebGLProgram(i,a,r)}var wJ={kernelName:mi,backendName:"webgl",kernelFunc:ch};function kJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=v.parseAxisParam(s,r.shape),u=l,p=N.getAxesPermutation(u,o),d=r;p!=null&&(d=kn({inputs:{x:r},backend:n,attrs:{perm:p}}),u=N.getInnerMostAxes(u.length,o)),N.assertAxesAreInnerMostDims("all",u,o);let[c,h]=N.computeOutAndReduceShapes(d.shape,u),m=v.sizeFromShape(h),f=de({inputs:{x:d},backend:n,attrs:{shape:[-1,m]}}),g=wo(f,f.dtype,"all",n),b;if(i){let y=N.expandShapeToKeepDim(c,l);b=de({inputs:{x:g},backend:n,attrs:{shape:y}})}else b=de({inputs:{x:g},backend:n,attrs:{shape:c}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(g),p!=null&&n.disposeIntermediateTensorInfo(d),b}var IJ={kernelName:kl,backendName:"webgl",kernelFunc:kJ};function SJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=v.parseAxisParam(s,r.shape),u=l,p=N.getAxesPermutation(u,o),d=r;p!=null&&(d=kn({inputs:{x:r},backend:n,attrs:{perm:p}}),u=N.getInnerMostAxes(u.length,o)),N.assertAxesAreInnerMostDims("any",u,o);let[c,h]=N.computeOutAndReduceShapes(d.shape,u),m=v.sizeFromShape(h),f=de({inputs:{x:d},backend:n,attrs:{shape:[-1,m]}}),g=wo(f,f.dtype,"any",n),b;if(i){let y=N.expandShapeToKeepDim(c,l);b=de({inputs:{x:g},backend:n,attrs:{shape:y}})}else b=de({inputs:{x:g},backend:n,attrs:{shape:c}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(g),p!=null&&n.disposeIntermediateTensorInfo(d),b}var TJ={kernelName:Il,backendName:"webgl",kernelFunc:SJ},NJ=class{constructor(e,t,n){this.variableNames=["A"];let{windowSize:a,batchSize:r,outSize:s}=e;n||this.variableNames.push("bestIndicesA"),this.outputShape=[r,s];let i=t==="max"?">":"<",o=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode=` + `}};function ch(e){let{inputs:t,backend:n}=e,a=t;if(a.length===1)return na({inputs:{x:a[0]},backend:n});if(a.length>H().get("WEBGL_MAX_TEXTURES_IN_SHADER")){let o=Math.floor(a.length/2),l=ch({inputs:a.slice(0,o),backend:n}),u=ch({inputs:a.slice(o),backend:n});return ch({inputs:[l,u],backend:n})}let r=a.map(o=>o.dtype).reduce((o,l)=>ma(o,l)),s=a.map(o=>o.shape),i=H().getBool("WEBGL_PACK")?new MJ(a[0].shape,s):new RJ(a[0].shape,s);return n.runWebGLProgram(i,a,r)}var PJ={kernelName:mi,backendName:"webgl",kernelFunc:ch};function OJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=v.parseAxisParam(s,r.shape),u=l,p=N.getAxesPermutation(u,o),d=r;p!=null&&(d=In({inputs:{x:r},backend:n,attrs:{perm:p}}),u=N.getInnerMostAxes(u.length,o)),N.assertAxesAreInnerMostDims("all",u,o);let[c,h]=N.computeOutAndReduceShapes(d.shape,u),m=v.sizeFromShape(h),f=de({inputs:{x:d},backend:n,attrs:{shape:[-1,m]}}),g=ko(f,f.dtype,"all",n),b;if(i){let y=N.expandShapeToKeepDim(c,l);b=de({inputs:{x:g},backend:n,attrs:{shape:y}})}else b=de({inputs:{x:g},backend:n,attrs:{shape:c}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(g),p!=null&&n.disposeIntermediateTensorInfo(d),b}var LJ={kernelName:Sl,backendName:"webgl",kernelFunc:OJ};function zJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=v.parseAxisParam(s,r.shape),u=l,p=N.getAxesPermutation(u,o),d=r;p!=null&&(d=In({inputs:{x:r},backend:n,attrs:{perm:p}}),u=N.getInnerMostAxes(u.length,o)),N.assertAxesAreInnerMostDims("any",u,o);let[c,h]=N.computeOutAndReduceShapes(d.shape,u),m=v.sizeFromShape(h),f=de({inputs:{x:d},backend:n,attrs:{shape:[-1,m]}}),g=ko(f,f.dtype,"any",n),b;if(i){let y=N.expandShapeToKeepDim(c,l);b=de({inputs:{x:g},backend:n,attrs:{shape:y}})}else b=de({inputs:{x:g},backend:n,attrs:{shape:c}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(g),p!=null&&n.disposeIntermediateTensorInfo(d),b}var WJ={kernelName:Tl,backendName:"webgl",kernelFunc:zJ},BJ=class{constructor(e,t,n){this.variableNames=["A"];let{windowSize:a,batchSize:r,outSize:s}=e;n||this.variableNames.push("bestIndicesA"),this.outputShape=[r,s];let i=t==="max"?">":"<",o=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode=` void main() { ivec2 coords = getOutputCoords(); int batch = coords[0]; @@ -1573,7 +1567,7 @@ return log(x + sqrt(x * x - 1.0));`,fJ=Ye({opSnippet:mJ}),gJ={kernelName:wl,back } setOutput(float(bestIndex)); } - `}},CJ=class{constructor(e,t,n,a){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,v.assert(e.length>2,()=>`Packed arg${n.charAt(0).toUpperCase()+n.slice(1)} supports only inputs with rank above 2.`);let r=e[e.length-1],s=Math.ceil(r/t);this.outputShape=e.slice(0,-1),s>1&&this.outputShape.push(s),a||this.variableNames.push("bestIndicesA");let i=this.outputShape,o=i.length,l=gt(o),u=wn("coords",o),p,d;if(s===1){d=o+1;let C=gt(d);p=` + `}},VJ=class{constructor(e,t,n,a){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,v.assert(e.length>2,()=>`Packed arg${n.charAt(0).toUpperCase()+n.slice(1)} supports only inputs with rank above 2.`);let r=e[e.length-1],s=Math.ceil(r/t);this.outputShape=e.slice(0,-1),s>1&&this.outputShape.push(s),a||this.variableNames.push("bestIndicesA");let i=this.outputShape,o=i.length,l=gt(o),u=wn("coords",o),p,d;if(s===1){d=o+1;let C=gt(d);p=` ${C} sourceLocR = ${C}(${u.join()}, 0); ++${u[o-1]}; ${C} sourceLocG = ${C}(${u.join()}, 0); @@ -1635,25 +1629,25 @@ return log(x + sqrt(x * x - 1.0));`,fJ=Ye({opSnippet:mJ}),gJ={kernelName:wl,back } setOutput(bestIndex); } - `}};function B_(e,t,n,a=null){let r=t.shape[0],s=t.shape[1];a!=null&&(r=a.shape[0],s=a.shape[1]);let i=N.computeOptimalWindowSize(s),o={windowSize:i,inSize:s,batchSize:r,outSize:Math.ceil(s/i)},l=new NJ(o,n,a==null),u=[t];a!=null&&u.push(a);let p=e.runWebGLProgram(l,u,"int32");if(p.shape[1]===1)return p;let d=B_(e,t,n,p);return e.disposeIntermediateTensorInfo(p),d}function W_(e,t,n,a=null){let r=a!=null?a.shape:t.shape,s=r[r.length-1],i=N.computeOptimalWindowSize(s),o=new CJ(r,i,n,a==null),l=a==null?[t]:[t,a],u=e.runWebGLProgram(o,l,"int32");if(u.shape.length===t.shape.length){let p=W_(e,t,n,u);return e.disposeIntermediateTensorInfo(u),p}return u}function V_(e,t,n,a){let r=[n];if(N.assertAxesAreInnerMostDims("arg"+a.charAt(0).toUpperCase()+a.slice(1),r,t.shape.length),!H().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){let s=[],i=e.texData.get(t.dataId),o=i!==null&&i.isPacked,l=t;o&&(l=e.unpackTensor(t),s.push(l));let[u,p]=N.computeOutAndReduceShapes(l.shape,r),d=v.sizeFromShape(p),c=de({inputs:{x:l},backend:e,attrs:{shape:[-1,d]}});s.push(c);let h=B_(e,c,a);s.push(h);let m=de({inputs:{x:h},backend:e,attrs:{shape:u}});return s.forEach(f=>e.disposeIntermediateTensorInfo(f)),m}return W_(e,t,a)}function _J(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s}=a,i=v.parseAxisParam(s,r.shape),o=N.getAxesPermutation(i,r.shape.length),l=r,u=[];o!=null&&(l=kn({inputs:{x:r},backend:n,attrs:{perm:o}}),u.push(l),i=N.getInnerMostAxes(i.length,l.shape.length)),N.assertAxesAreInnerMostDims("argMax",[i[0]],l.shape.length);let p=V_(n,l,i[0],"max");return u.forEach(d=>n.disposeIntermediateTensorInfo(d)),p}var EJ={kernelName:fi,backendName:"webgl",kernelFunc:_J};function AJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s}=a,i=v.parseAxisParam(s,r.shape),o=N.getAxesPermutation(i,r.shape.length),l=r,u=[];o!=null&&(l=kn({inputs:{x:r},backend:n,attrs:{perm:o}}),u.push(l),i=N.getInnerMostAxes(i.length,l.shape.length)),N.assertAxesAreInnerMostDims("argMin",[i[0]],l.shape.length);let p=V_(n,l,i[0],"min");return u.forEach(d=>n.disposeIntermediateTensorInfo(d)),p}var $J={kernelName:ac,backendName:"webgl",kernelFunc:AJ},FJ=Fa+` + `}};function K_(e,t,n,a=null){let r=t.shape[0],s=t.shape[1];a!=null&&(r=a.shape[0],s=a.shape[1]);let i=N.computeOptimalWindowSize(s),o={windowSize:i,inSize:s,batchSize:r,outSize:Math.ceil(s/i)},l=new BJ(o,n,a==null),u=[t];a!=null&&u.push(a);let p=e.runWebGLProgram(l,u,"int32");if(p.shape[1]===1)return p;let d=K_(e,t,n,p);return e.disposeIntermediateTensorInfo(p),d}function X_(e,t,n,a=null){let r=a!=null?a.shape:t.shape,s=r[r.length-1],i=N.computeOptimalWindowSize(s),o=new VJ(r,i,n,a==null),l=a==null?[t]:[t,a],u=e.runWebGLProgram(o,l,"int32");if(u.shape.length===t.shape.length){let p=X_(e,t,n,u);return e.disposeIntermediateTensorInfo(u),p}return u}function Y_(e,t,n,a){let r=[n];if(N.assertAxesAreInnerMostDims("arg"+a.charAt(0).toUpperCase()+a.slice(1),r,t.shape.length),!H().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){let s=[],i=e.texData.get(t.dataId),o=i!==null&&i.isPacked,l=t;o&&(l=e.unpackTensor(t),s.push(l));let[u,p]=N.computeOutAndReduceShapes(l.shape,r),d=v.sizeFromShape(p),c=de({inputs:{x:l},backend:e,attrs:{shape:[-1,d]}});s.push(c);let h=K_(e,c,a);s.push(h);let m=de({inputs:{x:h},backend:e,attrs:{shape:u}});return s.forEach(f=>e.disposeIntermediateTensorInfo(f)),m}return X_(e,t,a)}function UJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s}=a,i=v.parseAxisParam(s,r.shape),o=N.getAxesPermutation(i,r.shape.length),l=r,u=[];o!=null&&(l=In({inputs:{x:r},backend:n,attrs:{perm:o}}),u.push(l),i=N.getInnerMostAxes(i.length,l.shape.length)),N.assertAxesAreInnerMostDims("argMax",[i[0]],l.shape.length);let p=Y_(n,l,i[0],"max");return u.forEach(d=>n.disposeIntermediateTensorInfo(d)),p}var GJ={kernelName:fi,backendName:"webgl",kernelFunc:UJ};function HJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s}=a,i=v.parseAxisParam(s,r.shape),o=N.getAxesPermutation(i,r.shape.length),l=r,u=[];o!=null&&(l=In({inputs:{x:r},backend:n,attrs:{perm:o}}),u.push(l),i=N.getInnerMostAxes(i.length,l.shape.length)),N.assertAxesAreInnerMostDims("argMin",[i[0]],l.shape.length);let p=Y_(n,l,i[0],"min");return u.forEach(d=>n.disposeIntermediateTensorInfo(d)),p}var jJ={kernelName:sc,backendName:"webgl",kernelFunc:HJ},qJ=Da+` if (abs(x) > 1.) { return NAN; } return asin(x); -`,DJ=Ye({opSnippet:FJ}),RJ={kernelName:Sl,backendName:"webgl",kernelFunc:DJ},MJ=Fa+"return log(x + sqrt(x * x + 1.0));",PJ=Ye({opSnippet:MJ}),OJ={kernelName:Tl,backendName:"webgl",kernelFunc:PJ},LJ=Fa+` +`,KJ=Ye({opSnippet:qJ}),XJ={kernelName:Nl,backendName:"webgl",kernelFunc:KJ},YJ=Da+"return log(x + sqrt(x * x + 1.0));",ZJ=Ye({opSnippet:YJ}),JJ={kernelName:Cl,backendName:"webgl",kernelFunc:ZJ},QJ=Da+` return atan(x); -`,zJ=Ye({opSnippet:LJ}),BJ={kernelName:Nl,backendName:"webgl",kernelFunc:zJ},WJ=K0+` +`,e9=Ye({opSnippet:QJ}),t9={kernelName:_l,backendName:"webgl",kernelFunc:e9},n9=J0+` return atan(a, b); -`,VJ=` +`,a9=` vec4 result = atan(a, b); bvec4 isNaNA = isnan(a); bvec4 isNaNB = isnan(b); bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w); - `+td+` + `+nd+` return result; -`,UJ=un({opSnippet:WJ,packedOpSnippet:VJ}),GJ={kernelName:_l,backendName:"webgl",kernelFunc:UJ},HJ=Fa+` +`,r9=pn({opSnippet:n9,packedOpSnippet:a9}),s9={kernelName:Al,backendName:"webgl",kernelFunc:r9},i9=Da+` if ((x < -1.0) || (x > 1.0)) return NAN; -return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelName:Cl,backendName:"webgl",kernelFunc:jJ},Qp=class{constructor(e,t,n,a=!1,r=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let s=e.filterWidth,i=e.strideHeight,o=e.strideWidth,l=e.dilationHeight,u=e.dilationWidth,p=e.effectiveFilterHeight,d=e.effectiveFilterWidth,c=e.padInfo.top,h=e.padInfo.left;this.outputShape=e.outShape;let m=t==="avg",f=`((batch * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + d`,g=`(xR * ${e.inWidth} + xC) * ${e.inChannels} + d`,b="0.0";if(m||(b="-1.0 / 1e-20"),n){let C=">=";this.userCode=` +return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,o9=Ye({opSnippet:i9}),l9={kernelName:El,backendName:"webgl",kernelFunc:o9},tc=class{constructor(e,t,n,a=!1,r=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let s=e.filterWidth,i=e.strideHeight,o=e.strideWidth,l=e.dilationHeight,u=e.dilationWidth,p=e.effectiveFilterHeight,d=e.effectiveFilterWidth,c=e.padInfo.top,h=e.padInfo.left;this.outputShape=e.outShape;let m=t==="avg",f=`((batch * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + d`,g=`(xR * ${e.inWidth} + xC) * ${e.inChannels} + d`,b="0.0";if(m||(b="-1.0 / 1e-20"),n){let C=">=";this.userCode=` const ivec2 strides = ivec2(${i}, ${o}); const ivec2 pads = ivec2(${c}, ${h}); @@ -1794,7 +1788,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam } setOutput(${x}); } - `}},Y0=class{constructor(e,t,n,a=!1,r=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let s=e.filterWidth,i=e.strideDepth,o=e.strideHeight,l=e.strideWidth,u=e.dilationDepth,p=e.dilationHeight,d=e.dilationWidth,c=e.effectiveFilterDepth,h=e.effectiveFilterHeight,m=e.effectiveFilterWidth,f=e.padInfo.front,g=e.padInfo.top,b=e.padInfo.left;this.outputShape=e.outShape;let y=t==="avg",x="0.0";if(y||(x="-1.0 / 1e-20"),n){let A=">=";this.userCode=` + `}},e1=class{constructor(e,t,n,a=!1,r=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let s=e.filterWidth,i=e.strideDepth,o=e.strideHeight,l=e.strideWidth,u=e.dilationDepth,p=e.dilationHeight,d=e.dilationWidth,c=e.effectiveFilterDepth,h=e.effectiveFilterHeight,m=e.effectiveFilterWidth,f=e.padInfo.front,g=e.padInfo.top,b=e.padInfo.left;this.outputShape=e.outShape;let y=t==="avg",x="0.0";if(y||(x="-1.0 / 1e-20"),n){let A=">=";this.userCode=` const ivec3 strides = ivec3(${i}, ${o}, ${l}); const ivec3 pads = ivec3(${f}, ${g}, ${b}); @@ -1957,7 +1951,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam setOutput(${I}); } } - `}};function KJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t;Pu(r,"avgPool");let{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=a,u=1;v.assert(N.eitherStridesOrDilationsAreOne(i,u),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${u}'`);let p=N.computePool2DInfo(r.shape,s,i,u,o,l);if(p.filterWidth===1&&p.filterHeight===1&&v.arraysEqual(p.inShape,p.outShape))return ta({inputs:{x:r},backend:n});let d=new Qp(p,"avg",!1);return n.runWebGLProgram(d,[r],"float32")}var XJ={kernelName:gi,backendName:"webgl",kernelFunc:KJ};function YJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l,dataFormat:u}=a,p=[1,1,1],d=N.computePool3DInfo(r.shape,s,i,p,o,l,u),c=new Y0(d,"avg",!1);return n.runWebGLProgram(c,[r],"float32")}var ZJ={kernelName:rc,backendName:"webgl",kernelFunc:YJ},JJ=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,a=e.strideHeight,r=e.strideWidth,s=e.dilationHeight,i=e.dilationWidth,o=e.effectiveFilterHeight,l=e.effectiveFilterWidth,u=o-1-e.padInfo.top,p=l-1-e.padInfo.left,d=1/(t*n);this.userCode=` + `}};function u9(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t;Lu(r,"avgPool");let{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=a,u=1;v.assert(N.eitherStridesOrDilationsAreOne(i,u),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${u}'`);let p=N.computePool2DInfo(r.shape,s,i,u,o,l);if(p.filterWidth===1&&p.filterHeight===1&&v.arraysEqual(p.inShape,p.outShape))return na({inputs:{x:r},backend:n});let d=new tc(p,"avg",!1);return n.runWebGLProgram(d,[r],"float32")}var p9={kernelName:gi,backendName:"webgl",kernelFunc:u9};function c9(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l,dataFormat:u}=a,p=[1,1,1],d=N.computePool3DInfo(r.shape,s,i,p,o,l,u),c=new e1(d,"avg",!1);return n.runWebGLProgram(c,[r],"float32")}var d9={kernelName:ic,backendName:"webgl",kernelFunc:c9},h9=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,a=e.strideHeight,r=e.strideWidth,s=e.dilationHeight,i=e.dilationWidth,o=e.effectiveFilterHeight,l=e.effectiveFilterWidth,u=o-1-e.padInfo.top,p=l-1-e.padInfo.left,d=1/(t*n);this.userCode=` const ivec2 pads = ivec2(${u}, ${p}); const float avgMultiplier = float(${d}); @@ -1999,7 +1993,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam } setOutput(dotProd); } - `}},QJ=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,a=e.filterWidth,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,l=e.dilationHeight,u=e.dilationWidth,p=e.effectiveFilterDepth,d=e.effectiveFilterHeight,c=e.effectiveFilterWidth,h=p-1-e.padInfo.front,m=d-1-e.padInfo.top,f=c-1-e.padInfo.left,g=1/(t*n*a);this.userCode=` + `}},m9=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,a=e.filterWidth,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,l=e.dilationHeight,u=e.dilationWidth,p=e.effectiveFilterDepth,d=e.effectiveFilterHeight,c=e.effectiveFilterWidth,h=p-1-e.padInfo.front,m=d-1-e.padInfo.top,f=c-1-e.padInfo.left,g=1/(t*n*a);this.userCode=` const ivec3 pads = ivec3(${h}, ${m}, ${f}); const float avgMultiplier = float(${g}); @@ -2055,7 +2049,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam } setOutput(dotProd); } - `}};function e9(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,i=s,{filterSize:o,strides:l,pad:u,dimRoundingMode:p}=a,d=[1,1,1],c=N.computePool3DInfo(i.shape,o,l,d,u,p),h=new QJ(c);return n.runWebGLProgram(h,[r],i.dtype)}var t9={kernelName:Xh,backendName:"webgl",kernelFunc:e9};function n9(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,i=s;Pu([r,s],"avgPoolGrad");let{filterSize:o,strides:l,pad:u}=a,p=N.computePool2DInfo(i.shape,o,l,1,u),d=new JJ(p);return n.runWebGLProgram(d,[r],i.dtype)}var a9={kernelName:Kh,backendName:"webgl",kernelFunc:n9};function r9(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s}=t,{transposeA:i,transposeB:o}=a;return Bh({a:r,b:s,transposeA:i,transposeB:o,backend:n})}var s9={kernelName:bi,backendName:"webgl",kernelFunc:r9},i9=class{constructor(e,t,n,a,r,s){this.outputShape=[],this.variableNames=["x","mean","variance"],N.assertAndGetBroadcastShape(e,t),N.assertAndGetBroadcastShape(e,n);let i="0.0";a!=null&&(N.assertAndGetBroadcastShape(e,a),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="1.0";r!=null&&(N.assertAndGetBroadcastShape(e,r),this.variableNames.push("scale"),o="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=` + `}};function f9(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,i=s,{filterSize:o,strides:l,pad:u,dimRoundingMode:p}=a,d=[1,1,1],c=N.computePool3DInfo(i.shape,o,l,d,u,p),h=new m9(c);return n.runWebGLProgram(h,[r],i.dtype)}var g9={kernelName:Yh,backendName:"webgl",kernelFunc:f9};function b9(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,i=s;Lu([r,s],"avgPoolGrad");let{filterSize:o,strides:l,pad:u}=a,p=N.computePool2DInfo(i.shape,o,l,1,u),d=new h9(p);return n.runWebGLProgram(d,[r],i.dtype)}var y9={kernelName:Xh,backendName:"webgl",kernelFunc:b9};function x9(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s}=t,{transposeA:i,transposeB:o}=a;return Bh({a:r,b:s,transposeA:i,transposeB:o,backend:n})}var v9={kernelName:bi,backendName:"webgl",kernelFunc:x9},w9=class{constructor(e,t,n,a,r,s){this.outputShape=[],this.variableNames=["x","mean","variance"],N.assertAndGetBroadcastShape(e,t),N.assertAndGetBroadcastShape(e,n);let i="0.0";a!=null&&(N.assertAndGetBroadcastShape(e,a),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="1.0";r!=null&&(N.assertAndGetBroadcastShape(e,r),this.variableNames.push("scale"),o="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=` void main() { float x = getXAtOutCoords(); float mean = getMeanAtOutCoords(); @@ -2065,7 +2059,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam float inv = scale * inversesqrt(variance + float(${s})); setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1))); } - `}},o9=class{constructor(e,t,n,a,r,s){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],N.assertAndGetBroadcastShape(e,t),N.assertAndGetBroadcastShape(e,n);let i="vec4(0.0)";a!=null&&(N.assertAndGetBroadcastShape(e,a),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="vec4(1.0)";r!=null&&(N.assertAndGetBroadcastShape(e,r),this.variableNames.push("scale"),o="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=` + `}},k9=class{constructor(e,t,n,a,r,s){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],N.assertAndGetBroadcastShape(e,t),N.assertAndGetBroadcastShape(e,n);let i="vec4(0.0)";a!=null&&(N.assertAndGetBroadcastShape(e,a),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="vec4(1.0)";r!=null&&(N.assertAndGetBroadcastShape(e,r),this.variableNames.push("scale"),o="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=` void main() { vec4 offset = ${i}; vec4 scale = ${o}; @@ -2078,7 +2072,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam setOutput((x - mean) * inv + offset); } - `}},l9=({inputs:e,backend:t,attrs:n})=>{let{x:a,mean:r,variance:s,offset:i,scale:o}=e;v.assert(r.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),v.assert(i==null||r.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),v.assert(o==null||r.shape.length===o.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let{varianceEpsilon:l}=n;l==null&&(l=.001);let u=[a,r,s],p=null;i!=null&&(p=i.shape,u.push(i));let d=null;o!=null&&(d=o.shape,u.push(o));let c=H().getBool("WEBGL_PACK_NORMALIZATION")?new o9(a.shape,r.shape,s.shape,p,d,l):new i9(a.shape,r.shape,s.shape,p,d,l);return t.runWebGLProgram(c,u,u[0].dtype)},u9={kernelName:$i,backendName:"webgl",kernelFunc:l9},p9=class{constructor(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;let t=gt(this.rank);this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let n=c9(this.rank),a,r=e.map((s,i)=>`sourceLoc.${lx[i]} = start[${i}] + coords.${lx[i]};`);a=` + `}},I9=({inputs:e,backend:t,attrs:n})=>{let{x:a,mean:r,variance:s,offset:i,scale:o}=e;v.assert(r.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),v.assert(i==null||r.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),v.assert(o==null||r.shape.length===o.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let{varianceEpsilon:l}=n;l==null&&(l=.001);let u=[a,r,s],p=null;i!=null&&(p=i.shape,u.push(i));let d=null;o!=null&&(d=o.shape,u.push(o));let c=H().getBool("WEBGL_PACK_NORMALIZATION")?new k9(a.shape,r.shape,s.shape,p,d,l):new w9(a.shape,r.shape,s.shape,p,d,l);return t.runWebGLProgram(c,u,u[0].dtype)},S9={kernelName:$i,backendName:"webgl",kernelFunc:I9},T9=class{constructor(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;let t=gt(this.rank);this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let n=N9(this.rank),a,r=e.map((s,i)=>`sourceLoc.${px[i]} = start[${i}] + coords.${px[i]};`);a=` ${t} sourceLoc; ${t} coords = getOutputCoords(); ${r.join(` @@ -2088,7 +2082,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam ${a} setOutput(getSource(${n})); } - `}},lx=["x","y","z","w","u","v"];function c9(e){if(e===1)return"sourceLoc";if(e<=6)return lx.slice(0,e).map(t=>"sourceLoc."+t).join(",");throw Error(`Slicing for rank ${e} is not yet supported`)}var d9=class{constructor(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length,this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let t=gt(this.rank),n=wn("coords",this.rank),a=wn("sourceLoc",this.rank),r=this.rank===1?"sourceLoc":`vec2(${a.slice(-2).join()})`,s=`getChannel(getSource(${a.join()}), ${r})`,i=` + `}},px=["x","y","z","w","u","v"];function N9(e){if(e===1)return"sourceLoc";if(e<=6)return px.slice(0,e).map(t=>"sourceLoc."+t).join(",");throw Error(`Slicing for rank ${e} is not yet supported`)}var C9=class{constructor(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length,this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let t=gt(this.rank),n=wn("coords",this.rank),a=wn("sourceLoc",this.rank),r=this.rank===1?"sourceLoc":`vec2(${a.slice(-2).join()})`,s=`getChannel(getSource(${a.join()}), ${r})`,i=` result.x = ${s}; if (++${n[this.rank-1]} < ${e[this.rank-1]}) { ++${a[this.rank-1]}; @@ -2117,7 +2111,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam ${o} setOutput(result); } - `}};function h9(e,t,n,a){let r=a.texData.get(e.dataId),s=a.makeTensorInfo(n,e.dtype),i=a.texData.get(s.dataId);Object.assign(i,r),i.refCount=1,i.shape=n,i.dtype=e.dtype;let o=jt.computeFlatOffset(t,v.computeStrides(e.shape));r.slice&&(o+=r.slice.flatOffset),i.slice={flatOffset:o,origDataId:r.slice&&r.slice.origDataId||e.dataId};let l=a.dataRefCount.get(i.slice.origDataId)||1;return a.dataRefCount.set(i.slice.origDataId,l+1),s}function Vu(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{begin:s,size:i}=a,[o,l]=jt.parseSliceParams(r,s,i);if(jt.assertParamsValid(r,o,l),v.sizeFromShape(l)===0)return n.makeTensorInfo(l,r.dtype,[]);if(n.shouldExecuteOnCPU([r])||r.dtype==="string"){let d=n.texData.get(r.dataId),c=rZ(d.values,o,l,r.shape,r.dtype);return n.makeTensorInfo(l,r.dtype,c)}let{isPacked:u}=n.texData.get(r.dataId),p=jt.isSliceContinous(r.shape,o,l);if(u||!p){let d=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new d9(l):new p9(l),c=[o];return n.runWebGLProgram(d,[r],r.dtype,c)}return n.uploadToGPU(r.dataId),h9(r,o,l,n)}var m9={kernelName:pu,backendName:"webgl",kernelFunc:Vu},f9=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockShape:s,crops:i}=a;v.assert(r.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");let o=s.reduce((y,x)=>y*x),l=N.getReshaped(r.shape,s,o),u=N.getPermuted(l.length,s.length),p=N.getReshapedPermuted(r.shape,s,o),d=N.getSliceBeginCoords(i,s.length),c=N.getSliceSize(p,i,s.length),h=[],m=de({inputs:{x:r},backend:n,attrs:{shape:l}}),f=kn({inputs:{x:m},backend:n,attrs:{perm:u}}),g=de({inputs:{x:f},backend:n,attrs:{shape:p}}),b=Vu({inputs:{x:g},backend:n,attrs:{begin:d,size:c}});return h.push(m),h.push(f),h.push(g),h.forEach(y=>n.disposeIntermediateTensorInfo(y)),b},g9={kernelName:El,backendName:"webgl",kernelFunc:f9};function b9(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,weights:s}=t,{size:i}=a,o=n.readSync(r.dataId),l=n.readSync(s.dataId),u=__(o,l,s.dtype,s.shape,i);return n.makeTensorInfo([i],s.dtype,u)}var y9={kernelName:Yh,backendName:"webgl",kernelFunc:b9};function x9(e){let{inputs:t,backend:n}=e,{s0:a,s1:r}=t,s=n.readSync(a.dataId),i=n.readSync(r.dataId),o=N.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return n.makeTensorInfo([o.length],"int32",Int32Array.from(o))}var v9={kernelName:Zh,backendName:"webgl",kernelFunc:x9},w9="return float(a != b);",U_=un({opSnippet:w9,cpuKernelImpl:Y7,dtype:"bool"}),k9={kernelName:Ql,backendName:"webgl",kernelFunc:U_};function ad(e){let{inputs:t,backend:n}=e,{input:a}=t,r=n.texData.get(a.dataId);return ta({inputs:{x:r.complexTensorInfos.real},backend:n})}var I9={kernelName:xm,backendName:"webgl",kernelFunc:ad},S9="return float(int(x));";function T9(e,t){let n=new Sr(e.shape,S9),a=t.runWebGLProgram(n,[e],"int32");return{dataId:a.dataId,shape:a.shape,dtype:a.dtype}}function ux(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dtype:s}=a;if(s==="complex64"){if(r.dtype==="complex64")return ta({inputs:{x:r},backend:n});let i=It(r.shape),o=ux({inputs:{x:r},backend:n,attrs:{dtype:"float32"}}),l=Is({inputs:{real:o,imag:i},backend:n});return i.dispose(),n.disposeIntermediateTensorInfo(o),l}if(r.dtype==="complex64"){let i=ad({inputs:{input:r},backend:n}),o=ux({inputs:{x:i},backend:n,attrs:{dtype:s}});return n.disposeIntermediateTensorInfo(i),o}if(!v.hasEncodingLoss(r.dtype,s)){let i=ta({inputs:{x:r},backend:n});return{dataId:i.dataId,shape:i.shape,dtype:s}}if(n.shouldExecuteOnCPU([r])){let i=n.texData.get(r.dataId).values,[o,l,u]=A7(i,r.shape,r.dtype,s);return n.makeTensorInfo(o,l,u)}if(s==="int32")return T9(r,n);if(s==="bool"){let i=n.makeTensorInfo([],"bool",v.getTypedArrayFromDType("bool",1)),o=U_({inputs:{a:r,b:i},backend:n});return n.disposeIntermediateTensorInfo(i),o}throw new Error(`Error in Cast: failed to cast ${r.dtype} to ${s}`)}var N9={kernelName:yi,backendName:"webgl",kernelFunc:ux},Yk="return ceil(x);",C9=Ye({opSnippet:Yk,packedOpSnippet:Yk,cpuKernelImpl:$7}),_9={kernelName:xi,backendName:"webgl",kernelFunc:C9},E9=class{constructor(e){this.variableNames=["A"],this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=e,this.userCode=` + `}};function _9(e,t,n,a){let r=a.texData.get(e.dataId),s=a.makeTensorInfo(n,e.dtype),i=a.texData.get(s.dataId);Object.assign(i,r),i.refCount=1,i.shape=n,i.dtype=e.dtype;let o=jt.computeFlatOffset(t,v.computeStrides(e.shape));r.slice&&(o+=r.slice.flatOffset),i.slice={flatOffset:o,origDataId:r.slice&&r.slice.origDataId||e.dataId};let l=a.dataRefCount.get(i.slice.origDataId)||1;return a.dataRefCount.set(i.slice.origDataId,l+1),s}function Gu(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{begin:s,size:i}=a,[o,l]=jt.parseSliceParams(r,s,i);if(jt.assertParamsValid(r,o,l),v.sizeFromShape(l)===0)return n.makeTensorInfo(l,r.dtype,[]);if(n.shouldExecuteOnCPU([r])||r.dtype==="string"){let d=n.texData.get(r.dataId),c=x7(d.values,o,l,r.shape,r.dtype);return n.makeTensorInfo(l,r.dtype,c)}let{isPacked:u}=n.texData.get(r.dataId),p=jt.isSliceContinous(r.shape,o,l);if(u||!p){let d=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new C9(l):new T9(l),c=[o];return n.runWebGLProgram(d,[r],r.dtype,c)}return n.uploadToGPU(r.dataId),_9(r,o,l,n)}var E9={kernelName:du,backendName:"webgl",kernelFunc:Gu},A9=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockShape:s,crops:i}=a;v.assert(r.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");let o=s.reduce((y,x)=>y*x),l=N.getReshaped(r.shape,s,o),u=N.getPermuted(l.length,s.length),p=N.getReshapedPermuted(r.shape,s,o),d=N.getSliceBeginCoords(i,s.length),c=N.getSliceSize(p,i,s.length),h=[],m=de({inputs:{x:r},backend:n,attrs:{shape:l}}),f=In({inputs:{x:m},backend:n,attrs:{perm:u}}),g=de({inputs:{x:f},backend:n,attrs:{shape:p}}),b=Gu({inputs:{x:g},backend:n,attrs:{begin:d,size:c}});return h.push(m),h.push(f),h.push(g),h.forEach(y=>n.disposeIntermediateTensorInfo(y)),b},$9={kernelName:$l,backendName:"webgl",kernelFunc:A9};function F9(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,weights:s}=t,{size:i}=a,o=n.readSync(r.dataId),l=n.readSync(s.dataId),u=P_(o,l,s.dtype,s.shape,i);return n.makeTensorInfo([i],s.dtype,u)}var D9={kernelName:Zh,backendName:"webgl",kernelFunc:F9};function R9(e){let{inputs:t,backend:n}=e,{s0:a,s1:r}=t,s=n.readSync(a.dataId),i=n.readSync(r.dataId),o=N.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return n.makeTensorInfo([o.length],"int32",Int32Array.from(o))}var M9={kernelName:Jh,backendName:"webgl",kernelFunc:R9},P9="return float(a != b);",Z_=pn({opSnippet:P9,cpuKernelImpl:p7,dtype:"bool"}),O9={kernelName:tu,backendName:"webgl",kernelFunc:Z_};function rd(e){let{inputs:t,backend:n}=e,{input:a}=t,r=n.texData.get(a.dataId);return na({inputs:{x:r.complexTensorInfos.real},backend:n})}var L9={kernelName:wm,backendName:"webgl",kernelFunc:rd},z9="return float(int(x));";function W9(e,t){let n=new Sr(e.shape,z9),a=t.runWebGLProgram(n,[e],"int32");return{dataId:a.dataId,shape:a.shape,dtype:a.dtype}}function cx(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dtype:s}=a;if(s==="complex64"){if(r.dtype==="complex64")return na({inputs:{x:r},backend:n});let i=It(r.shape),o=cx({inputs:{x:r},backend:n,attrs:{dtype:"float32"}}),l=Is({inputs:{real:o,imag:i},backend:n});return i.dispose(),n.disposeIntermediateTensorInfo(o),l}if(r.dtype==="complex64"){let i=rd({inputs:{input:r},backend:n}),o=cx({inputs:{x:i},backend:n,attrs:{dtype:s}});return n.disposeIntermediateTensorInfo(i),o}if(!v.hasEncodingLoss(r.dtype,s)){let i=na({inputs:{x:r},backend:n});return{dataId:i.dataId,shape:i.shape,dtype:s}}if(n.shouldExecuteOnCPU([r])){let i=n.texData.get(r.dataId).values,[o,l,u]=GZ(i,r.shape,r.dtype,s);return n.makeTensorInfo(o,l,u)}if(s==="int32")return W9(r,n);if(s==="bool"){let i=n.makeTensorInfo([],"bool",v.getTypedArrayFromDType("bool",1)),o=Z_({inputs:{a:r,b:i},backend:n});return n.disposeIntermediateTensorInfo(i),o}throw new Error(`Error in Cast: failed to cast ${r.dtype} to ${s}`)}var B9={kernelName:yi,backendName:"webgl",kernelFunc:cx},aI="return ceil(x);",V9=Ye({opSnippet:aI,packedOpSnippet:aI,cpuKernelImpl:HZ}),U9={kernelName:xi,backendName:"webgl",kernelFunc:V9},G9=class{constructor(e){this.variableNames=["A"],this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=e,this.userCode=` void main() { float value = getAAtOutCoords(); @@ -2128,7 +2122,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam setOutput(clamp(value, minVal, maxVal)); } - `}},A9=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=e,this.userCode=` + `}},H9=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=e,this.userCode=` void main() { vec4 value = getAAtOutCoords(); @@ -2139,7 +2133,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam setOutput(clamp(value, vec4(minVal), vec4(maxVal))); } - `}};function $9(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{clipValueMin:s,clipValueMax:i}=a,o;H().getBool("WEBGL_PACK_CLIP")?o=new A9(r.shape):o=new E9(r.shape);let l=[[s],[i]];return n.runWebGLProgram(o,[r],r.dtype,l)}var F9={kernelName:cs,backendName:"webgl",kernelFunc:$9},D9=class{constructor(e){this.variableNames=["real","imag"],this.outputShape=e,this.userCode=` + `}};function j9(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{clipValueMin:s,clipValueMax:i}=a,o;H().getBool("WEBGL_PACK_CLIP")?o=new H9(r.shape):o=new G9(r.shape);let l=[[s],[i]];return n.runWebGLProgram(o,[r],r.dtype,l)}var q9={kernelName:ds,backendName:"webgl",kernelFunc:j9},K9=class{constructor(e){this.variableNames=["real","imag"],this.outputShape=e,this.userCode=` void main() { float re = abs(getRealAtOutCoords()); float im = abs(getImagAtOutCoords()); @@ -2152,7 +2146,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx)) ); } - `}};function Zk(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}}function R9(e){let{inputs:t,backend:n}=e,{x:a}=t,r=n.texData.get(a.dataId),s=new D9(a.shape),i=[Zk(a,r.complexTensorInfos.real),Zk(a,r.complexTensorInfos.imag)];return n.runWebGLProgram(s,i,i[0].dtype)}var M9={kernelName:sc,backendName:"webgl",kernelFunc:R9},P9=class{constructor(e){this.outputShape=[],this.outputShape=N.computeOutShape(e,1),this.variableNames=e.map((s,i)=>`T${i}`);let t=new Array(e.length-1);t[0]=e[0][1];for(let s=1;s`T${i}`);let t=new Array(e.length-1);t[0]=e[0][1];for(let s=1;s`T${f}`);let o=new Array(e.length-1);o[0]=e[0][t];for(let m=1;m`T${f}`);let o=new Array(e.length-1);o[0]=e[0][t];for(let m=1;m= ${o[m-1]}) { return getChannel( - getT${m}(${th(i,l,f)}), - vec2(${th(u,l,f)})); + getT${m}(${nh(i,l,f)}), + vec2(${nh(u,l,f)})); }`}let c=o.length,h=o[o.length-1];d+=` return getChannel( - getT${c}(${th(i,l,h)}), - vec2(${th(u,l,h)}));`,this.userCode=` + getT${c}(${nh(i,l,h)}), + vec2(${nh(u,l,h)}));`,this.userCode=` float getValue(${i.map(m=>"int "+m)}) { ${d} } @@ -2198,7 +2192,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam } setOutput(result); } - `}};function th(e,t,n){let a=e.indexOf(t);return e.map((r,s)=>s===a?`${r} - ${n}`:r).join()}function Mf(e){let{inputs:t,backend:n}=e,{input:a}=t,r=n.texData.get(a.dataId);return ta({inputs:{x:r.complexTensorInfos.imag},backend:n})}var L9={kernelName:pm,backendName:"webgl",kernelFunc:Mf};function Dp(e,t,n){let a=e[0].dtype;if(a==="complex64"){let d=e.map(g=>ad({inputs:{input:g},backend:n})),c=e.map(g=>Mf({inputs:{input:g},backend:n})),h=Dp(d,t,n),m=Dp(c,t,n),f=Is({inputs:{real:h,imag:m},backend:n});return d.forEach(g=>n.disposeIntermediateTensorInfo(g)),c.forEach(g=>n.disposeIntermediateTensorInfo(g)),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(m),f}let r=n.shouldExecuteOnCPU(e);if(a==="string"&&(r=!0),r){let d=e.map(y=>{let x=v.sizeFromShape(y.shape.slice(t));return de({inputs:{x:y},backend:n,attrs:{shape:[-1,x]}})}),c=d.map(y=>({vals:n.readSync(y.dataId),shape:y.shape})),h=N.computeOutShape(d.map(y=>y.shape),1),m=d[0].shape[0]===1,f=F7(c,h,a,m),g=N.computeOutShape(e.map(y=>y.shape),t),b=n.makeTensorInfo(g,a,f);return d.forEach(y=>n.disposeIntermediateTensorInfo(y)),b}let s=H().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER");if(e.length>s){let d=[];for(let h=0;h1){let d=new O9(e.map(c=>c.shape),t);return n.runWebGLProgram(d,e,a)}let{tensors2D:i,outShape:o}=z9(e,t,n),l=new P9(i.map(d=>d.shape)),u=n.runWebGLProgram(l,i,a);i.forEach(d=>n.disposeIntermediateTensorInfo(d));let p=de({inputs:{x:u},attrs:{shape:o},backend:n});return n.disposeIntermediateTensorInfo(u),p}function z9(e,t,n){let a=N.computeOutShape(e.map(r=>r.shape),t);return{tensors2D:e.map(r=>de({inputs:{x:r},attrs:{shape:[-1,v.sizeFromShape(r.shape.slice(t))]},backend:n})),outShape:a}}function G_(e){let{inputs:t,backend:n,attrs:a}=e,{axis:r}=a,s=v.parseAxisParam(r,t[0].shape)[0],i=t.map(u=>u.shape);N.assertParamsConsistent(i,s);let o=N.computeOutShape(t.map(u=>u.shape),s);if(v.sizeFromShape(o)===0)return n.makeTensorInfo(o,t[0].dtype,[]);let l=t.filter(u=>v.sizeFromShape(u.shape)>0);return l.length===1?ta({inputs:{x:l[0]},backend:n}):Dp(l,s,n)}var B9={kernelName:Al,backendName:"webgl",kernelFunc:G_},H_=class{constructor(e,t=!1,n=null,a=!1,r=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;let s=e.padInfo.top,i=e.padInfo.left,o=e.strideHeight,l=e.strideWidth,u=e.dilationHeight,p=e.dilationWidth,d=e.filterHeight,c=e.filterWidth,h=Math.floor(e.inChannels/4)*4,m=e.inChannels%4,f=e.dataFormat==="channelsLast",g=f?1:2,b=f?2:3,y=f?3:1,x="",w="";n&&(a?x=`float activation(float a) { + `}};function nh(e,t,n){let a=e.indexOf(t);return e.map((r,s)=>s===a?`${r} - ${n}`:r).join()}function Of(e){let{inputs:t,backend:n}=e,{input:a}=t,r=n.texData.get(a.dataId);return na({inputs:{x:r.complexTensorInfos.imag},backend:n})}var Q9={kernelName:cm,backendName:"webgl",kernelFunc:Of};function Pp(e,t,n){let a=e[0].dtype;if(a==="complex64"){let d=e.map(g=>rd({inputs:{input:g},backend:n})),c=e.map(g=>Of({inputs:{input:g},backend:n})),h=Pp(d,t,n),m=Pp(c,t,n),f=Is({inputs:{real:h,imag:m},backend:n});return d.forEach(g=>n.disposeIntermediateTensorInfo(g)),c.forEach(g=>n.disposeIntermediateTensorInfo(g)),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(m),f}let r=n.shouldExecuteOnCPU(e);if(a==="string"&&(r=!0),r){let d=e.map(y=>{let x=v.sizeFromShape(y.shape.slice(t));return de({inputs:{x:y},backend:n,attrs:{shape:[-1,x]}})}),c=d.map(y=>({vals:n.readSync(y.dataId),shape:y.shape})),h=N.computeOutShape(d.map(y=>y.shape),1),m=d[0].shape[0]===1,f=jZ(c,h,a,m),g=N.computeOutShape(e.map(y=>y.shape),t),b=n.makeTensorInfo(g,a,f);return d.forEach(y=>n.disposeIntermediateTensorInfo(y)),b}let s=H().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER");if(e.length>s){let d=[];for(let h=0;h1){let d=new J9(e.map(c=>c.shape),t);return n.runWebGLProgram(d,e,a)}let{tensors2D:i,outShape:o}=eQ(e,t,n),l=new Z9(i.map(d=>d.shape)),u=n.runWebGLProgram(l,i,a);i.forEach(d=>n.disposeIntermediateTensorInfo(d));let p=de({inputs:{x:u},attrs:{shape:o},backend:n});return n.disposeIntermediateTensorInfo(u),p}function eQ(e,t,n){let a=N.computeOutShape(e.map(r=>r.shape),t);return{tensors2D:e.map(r=>de({inputs:{x:r},attrs:{shape:[-1,v.sizeFromShape(r.shape.slice(t))]},backend:n})),outShape:a}}function J_(e){let{inputs:t,backend:n,attrs:a}=e,{axis:r}=a,s=v.parseAxisParam(r,t[0].shape)[0],i=t.map(u=>u.shape);N.assertParamsConsistent(i,s);let o=N.computeOutShape(t.map(u=>u.shape),s);if(v.sizeFromShape(o)===0)return n.makeTensorInfo(o,t[0].dtype,[]);let l=t.filter(u=>v.sizeFromShape(u.shape)>0);return l.length===1?na({inputs:{x:l[0]},backend:n}):Pp(l,s,n)}var tQ={kernelName:Fl,backendName:"webgl",kernelFunc:J_},Q_=class{constructor(e,t=!1,n=null,a=!1,r=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;let s=e.padInfo.top,i=e.padInfo.left,o=e.strideHeight,l=e.strideWidth,u=e.dilationHeight,p=e.dilationWidth,d=e.filterHeight,c=e.filterWidth,h=Math.floor(e.inChannels/4)*4,m=e.inChannels%4,f=e.dataFormat==="channelsLast",g=f?1:2,b=f?2:3,y=f?3:1,x="",w="";n&&(a?x=`float activation(float a) { float b = getPreluActivationWeightsAtOutCoords(); ${n} }`:r?x=`float activation(float a) { @@ -2332,7 +2326,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam ${w} setOutput(result); } - `}},W9=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let t=e.padInfo.front,n=e.padInfo.top,a=e.padInfo.left,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,l=e.dilationHeight,u=e.dilationWidth,p=e.filterDepth,d=e.filterHeight,c=e.filterWidth,h=Math.floor(e.inChannels/4)*4,m=e.inChannels%4;this.userCode=` + `}},nQ=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let t=e.padInfo.front,n=e.padInfo.top,a=e.padInfo.left,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,l=e.dilationHeight,u=e.dilationWidth,p=e.filterDepth,d=e.filterHeight,c=e.filterWidth,h=Math.floor(e.inChannels/4)*4,m=e.inChannels%4;this.userCode=` const ivec3 strides = ivec3(${r}, ${s}, ${i}); const ivec3 pads = ivec3(${t}, ${n}, ${a}); @@ -2420,7 +2414,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam } setOutput(dotProd); } - `}},j_=class{constructor(e,t=!1,n=null,a=!1,r=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=Nn(this.outputShape.length);let s=e.padInfo.left,i=e.strideWidth,o=e.dilationWidth,l=e.filterHeight,u=e.filterWidth,p=u,d=` + `}},eE=class{constructor(e,t=!1,n=null,a=!1,r=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=_n(this.outputShape.length);let s=e.padInfo.left,i=e.strideWidth,o=e.dilationWidth,l=e.filterHeight,u=e.filterWidth,p=u,d=` int xR; int xC; int xCOffset; vec4 wTexel; vec4 previous; vec4 final;`;for(let f=0;f=3?t?[...e.slice(0,-3),e[n-3]*e[n-2],e[n-1]]:[...e.slice(0,-3),e[n-3],e[n-2]*e[n-1]]:!t&&n===1&&e[0]>1?[e[0],1]:null}function q_({x:e,filter:t,convInfo:n,backend:a,bias:r=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let l=e.shape,u=a.texData.get(e.dataId),p=n.inChannels,d=l[0]*l[1]*l[2],c=n.outChannels,h=n.dataFormat==="channelsLast",m=!1,f=!1,g,b=[];if(s!=null){let y=Wh(s.shape,h);y!=null&&(s=de({inputs:{x:s},backend:a,attrs:{shape:y}}),b.push(s))}if(r!=null){let y=Wh(r.shape,h);y!=null&&(r=de({inputs:{x:r},backend:a,attrs:{shape:y}}),b.push(r))}if(!((d===1||c===1)&&p>z_)&&u.isPacked&&h&&u.texture!=null&&l[2]%2!==0&&v.arraysEqual(u.shape.slice(-3),l.slice(-3))){let y=l[0]*l[1]*(l[2]+1),x={dataId:e.dataId,shape:[1,y,n.inChannels],dtype:e.dtype},w=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,v.assert(Zp(u.shape,x.shape),()=>`packed reshape ${u.shape} to ${x.shape} isn't free`);let I=de({inputs:{x:t},backend:a,attrs:{shape:[1,n.inChannels,n.outChannels]}});b.push(I);let T=Bh({a:x,b:I,backend:a,transposeA:m,transposeB:f,bias:r,activation:o,preluActivationWeights:s,leakyreluAlpha:i}),C=a.texData.get(T.dataId);v.assert(C.isPacked,()=>"batchMatMul result is expected to be packed"),u.shape=w,C.shape=n.outShape,g=ta({inputs:{x:T},backend:a}),g.shape=n.outShape,b.push(T)}else{let y=n.outHeight*n.outWidth,x=de({inputs:{x:e},backend:a,attrs:{shape:h?[n.batchSize,y,n.inChannels]:[n.batchSize,n.inChannels,y]}}),w=de({inputs:{x:t},backend:a,attrs:{shape:[1,n.inChannels,n.outChannels]}}),I=Bh({a:h?x:w,b:h?w:x,transposeA:!h,transposeB:f,backend:a,bias:r,activation:o,preluActivationWeights:s,leakyreluAlpha:i});g=de({inputs:{x:I},backend:a,attrs:{shape:n.outShape}}),b.push(x),b.push(w),b.push(I)}for(let y of b)a.disposeIntermediateTensorInfo(y);return g}function K_({x:e,filter:t,convInfo:n,backend:a,bias:r=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let{filterWidth:l,filterHeight:u,inChannels:p,outWidth:d,outHeight:c,dataFormat:h}=n,m=h==="channelsLast",f=l*u*p,g=c*d,b=[n.batchSize,f,g],y=!0,x=!1,w=[];if(s!=null){let K=Wh(s.shape,m);K!=null&&(s=de({inputs:{x:s},backend:a,attrs:{shape:K}}),w.push(s))}if(r!=null){let K=Wh(r.shape,m);K!=null&&(r=de({inputs:{x:r},backend:a,attrs:{shape:K}}),w.push(r))}let I=de({inputs:{x:t},backend:a,attrs:{shape:[1,f,v.sizeFromShape(t.shape)/f]}});w.push(I);let T=new V9(b,n),C=[e.shape,[n.padInfo.top,n.padInfo.left],[n.strideHeight,n.strideWidth],[n.dilationHeight,n.dilationWidth],[n.inChannels],[n.filterWidth*n.inChannels],[n.outWidth]],E=a.runWebGLProgram(T,[e],"float32",C),A=de({inputs:{x:E},backend:a,attrs:{shape:b}});w.push(E),w.push(A);let R=r!=null,F=s!=null,S=o==="leakyrelu",M=o?Jp(o,!0):null,W=new L_(m?A.shape:I.shape,m?I.shape:A.shape,m?[n.batchSize,g,n.outChannels]:[n.batchSize,n.outChannels,g],y,x,R,M,F,S),U=m?[A,I]:[I,A];if(r&&U.push(r),F&&U.push(s),S){let K=a.makeTensorInfo([],"float32",v.createScalarValue(i,"float32"));U.push(K),w.push(K)}let G=a.runWebGLProgram(W,U,"float32"),q=de({inputs:{x:G},backend:a,attrs:{shape:n.outShape}});w.push(G);for(let K of w)a.disposeIntermediateTensorInfo(K);return q}function U9(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dataFormat:l,dilations:u,dimRoundingMode:p}=a,d=N.convertConv2DDataFormat(l),c=N.computeConv2DInfo(r.shape,s.shape,i,u,o,p,!1,d),h;if(c.filterHeight===1&&c.filterWidth===1&&c.dilationHeight===1&&c.dilationWidth===1&&c.strideHeight===1&&c.strideWidth===1&&(c.padInfo.type==="SAME"||c.padInfo.type==="VALID"))h=q_({x:r,filter:s,convInfo:c,backend:n});else if(c.strideWidth<=2&&d==="channelsLast"&&H().getBool("WEBGL_EXP_CONV")){let f=new j_(c),g=[[c.padInfo.top,c.padInfo.left],[c.strideHeight,c.strideWidth],[c.dilationHeight,c.dilationWidth],[c.inHeight,c.inWidth]];h=n.runWebGLProgram(f,[r,s],"float32",g)}else if(H().getBool("WEBGL_CONV_IM2COL"))h=K_({x:r,filter:s,convInfo:c,backend:n});else{let f=new H_(c);h=n.runWebGLProgram(f,[r,s],"float32")}let m=de({inputs:{x:h},backend:n,attrs:{shape:c.outShape}});return n.disposeIntermediateTensorInfo(h),m}var G9={kernelName:vi,backendName:"webgl",kernelFunc:U9},H9=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,a=e.padInfo.top,r=e.padInfo.left,s=e.dataFormat==="channelsLast";this.userCode=` + `}};function Vh(e,t){let n=e.length;return n>=3?t?[...e.slice(0,-3),e[n-3]*e[n-2],e[n-1]]:[...e.slice(0,-3),e[n-3],e[n-2]*e[n-1]]:!t&&n===1&&e[0]>1?[e[0],1]:null}function tE({x:e,filter:t,convInfo:n,backend:a,bias:r=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let l=e.shape,u=a.texData.get(e.dataId),p=n.inChannels,d=l[0]*l[1]*l[2],c=n.outChannels,h=n.dataFormat==="channelsLast",m=!1,f=!1,g,b=[];if(s!=null){let y=Vh(s.shape,h);y!=null&&(s=de({inputs:{x:s},backend:a,attrs:{shape:y}}),b.push(s))}if(r!=null){let y=Vh(r.shape,h);y!=null&&(r=de({inputs:{x:r},backend:a,attrs:{shape:y}}),b.push(r))}if(!((d===1||c===1)&&p>q_)&&u.isPacked&&h&&u.texture!=null&&l[2]%2!==0&&v.arraysEqual(u.shape.slice(-3),l.slice(-3))){let y=l[0]*l[1]*(l[2]+1),x={dataId:e.dataId,shape:[1,y,n.inChannels],dtype:e.dtype},w=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,v.assert(Qp(u.shape,x.shape),()=>`packed reshape ${u.shape} to ${x.shape} isn't free`);let I=de({inputs:{x:t},backend:a,attrs:{shape:[1,n.inChannels,n.outChannels]}});b.push(I);let T=Bh({a:x,b:I,backend:a,transposeA:m,transposeB:f,bias:r,activation:o,preluActivationWeights:s,leakyreluAlpha:i}),C=a.texData.get(T.dataId);v.assert(C.isPacked,()=>"batchMatMul result is expected to be packed"),u.shape=w,C.shape=n.outShape,g=na({inputs:{x:T},backend:a}),g.shape=n.outShape,b.push(T)}else{let y=n.outHeight*n.outWidth,x=de({inputs:{x:e},backend:a,attrs:{shape:h?[n.batchSize,y,n.inChannels]:[n.batchSize,n.inChannels,y]}}),w=de({inputs:{x:t},backend:a,attrs:{shape:[1,n.inChannels,n.outChannels]}}),I=Bh({a:h?x:w,b:h?w:x,transposeA:!h,transposeB:f,backend:a,bias:r,activation:o,preluActivationWeights:s,leakyreluAlpha:i});g=de({inputs:{x:I},backend:a,attrs:{shape:n.outShape}}),b.push(x),b.push(w),b.push(I)}for(let y of b)a.disposeIntermediateTensorInfo(y);return g}function nE({x:e,filter:t,convInfo:n,backend:a,bias:r=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let{filterWidth:l,filterHeight:u,inChannels:p,outWidth:d,outHeight:c,dataFormat:h}=n,m=h==="channelsLast",f=l*u*p,g=c*d,b=[n.batchSize,f,g],y=!0,x=!1,w=[];if(s!=null){let K=Vh(s.shape,m);K!=null&&(s=de({inputs:{x:s},backend:a,attrs:{shape:K}}),w.push(s))}if(r!=null){let K=Vh(r.shape,m);K!=null&&(r=de({inputs:{x:r},backend:a,attrs:{shape:K}}),w.push(r))}let I=de({inputs:{x:t},backend:a,attrs:{shape:[1,f,v.sizeFromShape(t.shape)/f]}});w.push(I);let T=new aQ(b,n),C=[e.shape,[n.padInfo.top,n.padInfo.left],[n.strideHeight,n.strideWidth],[n.dilationHeight,n.dilationWidth],[n.inChannels],[n.filterWidth*n.inChannels],[n.outWidth]],E=a.runWebGLProgram(T,[e],"float32",C),A=de({inputs:{x:E},backend:a,attrs:{shape:b}});w.push(E),w.push(A);let R=r!=null,F=s!=null,S=o==="leakyrelu",M=o?ec(o,!0):null,B=new j_(m?A.shape:I.shape,m?I.shape:A.shape,m?[n.batchSize,g,n.outChannels]:[n.batchSize,n.outChannels,g],y,x,R,M,F,S),U=m?[A,I]:[I,A];if(r&&U.push(r),F&&U.push(s),S){let K=a.makeTensorInfo([],"float32",v.createScalarValue(i,"float32"));U.push(K),w.push(K)}let G=a.runWebGLProgram(B,U,"float32"),q=de({inputs:{x:G},backend:a,attrs:{shape:n.outShape}});w.push(G);for(let K of w)a.disposeIntermediateTensorInfo(K);return q}function rQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dataFormat:l,dilations:u,dimRoundingMode:p}=a,d=N.convertConv2DDataFormat(l),c=N.computeConv2DInfo(r.shape,s.shape,i,u,o,p,!1,d),h;if(c.filterHeight===1&&c.filterWidth===1&&c.dilationHeight===1&&c.dilationWidth===1&&c.strideHeight===1&&c.strideWidth===1&&(c.padInfo.type==="SAME"||c.padInfo.type==="VALID"))h=tE({x:r,filter:s,convInfo:c,backend:n});else if(c.strideWidth<=2&&d==="channelsLast"&&H().getBool("WEBGL_EXP_CONV")){let f=new eE(c),g=[[c.padInfo.top,c.padInfo.left],[c.strideHeight,c.strideWidth],[c.dilationHeight,c.dilationWidth],[c.inHeight,c.inWidth]];h=n.runWebGLProgram(f,[r,s],"float32",g)}else if(H().getBool("WEBGL_CONV_IM2COL"))h=nE({x:r,filter:s,convInfo:c,backend:n});else{let f=new Q_(c);h=n.runWebGLProgram(f,[r,s],"float32")}let m=de({inputs:{x:h},backend:n,attrs:{shape:c.outShape}});return n.disposeIntermediateTensorInfo(h),m}var sQ={kernelName:vi,backendName:"webgl",kernelFunc:rQ},iQ=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,a=e.padInfo.top,r=e.padInfo.left,s=e.dataFormat==="channelsLast";this.userCode=` void main() { ivec4 coords = getOutputCoords(); int wR = coords.x; @@ -2705,7 +2699,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam } setOutput(dotProd); } - `}},j9=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,a=e.strideHeight,r=e.strideWidth,s=e.dataFormat==="channelsLast",i=t-1-e.padInfo.top,o=n-1-e.padInfo.left,l=s?1:2,u=s?2:3,p=s?3:1;this.userCode=` + `}},oQ=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,a=e.strideHeight,r=e.strideWidth,s=e.dataFormat==="channelsLast",i=t-1-e.padInfo.top,o=n-1-e.padInfo.left,l=s?1:2,u=s?2:3,p=s?3:1;this.userCode=` const ivec2 pads = ivec2(${i}, ${o}); void main() { @@ -2758,7 +2752,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam } setOutput(dotProd); } - `}},q9=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideDepth,n=e.strideHeight,a=e.strideWidth,r=e.padInfo.front,s=e.padInfo.top,i=e.padInfo.left;this.userCode=` + `}},lQ=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideDepth,n=e.strideHeight,a=e.strideWidth,r=e.padInfo.front,s=e.padInfo.top,i=e.padInfo.left;this.userCode=` void main() { ivec5 coords = getOutputCoords(); int wF = coords.x; @@ -2800,7 +2794,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam } setOutput(dotProd); } - `}},K9=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,a=e.filterWidth,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=t-1-e.padInfo.front,l=n-1-e.padInfo.top,u=a-1-e.padInfo.left;this.userCode=` + `}},uQ=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,a=e.filterWidth,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=t-1-e.padInfo.front,l=n-1-e.padInfo.top,u=a-1-e.padInfo.left;this.userCode=` const ivec3 pads = ivec3(${o}, ${l}, ${u}); void main() { @@ -2857,12 +2851,12 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam } setOutput(dotProd); } - `}};function X9(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,dy:s}=t,{strides:i,pad:o,dataFormat:l,dimRoundingMode:u,filterShape:p}=a,d=N.convertConv2DDataFormat(l),c=N.computeConv2DInfo(r.shape,p,i,1,o,u,!1,d),h=new H9(c);return n.runWebGLProgram(h,[r,s],"float32")}var Y9={kernelName:Qh,backendName:"webgl",kernelFunc:X9};function Z9(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,filter:s}=t,{inputShape:i,strides:o,pad:l,dataFormat:u,dimRoundingMode:p}=a,d=N.convertConv2DDataFormat(u),c=N.computeConv2DInfo(i,s.shape,o,1,l,p,!1,d),h=new j9(c);return n.runWebGLProgram(h,[r,s],"float32")}var J9={kernelName:wi,backendName:"webgl",kernelFunc:Z9};function Q9(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l}=a,u=N.computeConv3DInfo(r.shape,s.shape,i,l,o),p=new W9(u);return n.runWebGLProgram(p,[r,s],"float32")}var eQ={kernelName:ic,backendName:"webgl",kernelFunc:Q9};function tQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,dy:s}=t,{strides:i,pad:o,filterShape:l}=a,u=N.computeConv3DInfo(r.shape,l,i,1,o),p=new q9(u);return n.runWebGLProgram(p,[r,s],"float32")}var nQ={kernelName:em,backendName:"webgl",kernelFunc:tQ};function aQ(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,filter:s}=t,{pad:i,strides:o,inputShape:l}=a,u=N.computeConv3DInfo(l,s.shape,o,1,i),p=new K9(u);return n.runWebGLProgram(p,[r,s],"float32")}var rQ={kernelName:tm,backendName:"webgl",kernelFunc:aQ},sQ=Wu+` + `}};function pQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,dy:s}=t,{strides:i,pad:o,dataFormat:l,dimRoundingMode:u,filterShape:p}=a,d=N.convertConv2DDataFormat(l),c=N.computeConv2DInfo(r.shape,p,i,1,o,u,!1,d),h=new iQ(c);return n.runWebGLProgram(h,[r,s],"float32")}var cQ={kernelName:em,backendName:"webgl",kernelFunc:pQ};function dQ(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,filter:s}=t,{inputShape:i,strides:o,pad:l,dataFormat:u,dimRoundingMode:p}=a,d=N.convertConv2DDataFormat(u),c=N.computeConv2DInfo(i,s.shape,o,1,l,p,!1,d),h=new oQ(c);return n.runWebGLProgram(h,[r,s],"float32")}var hQ={kernelName:wi,backendName:"webgl",kernelFunc:dQ};function mQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l}=a,u=N.computeConv3DInfo(r.shape,s.shape,i,l,o),p=new nQ(u);return n.runWebGLProgram(p,[r,s],"float32")}var fQ={kernelName:lc,backendName:"webgl",kernelFunc:mQ};function gQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,dy:s}=t,{strides:i,pad:o,filterShape:l}=a,u=N.computeConv3DInfo(r.shape,l,i,1,o),p=new lQ(u);return n.runWebGLProgram(p,[r,s],"float32")}var bQ={kernelName:tm,backendName:"webgl",kernelFunc:gQ};function yQ(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,filter:s}=t,{pad:i,strides:o,inputShape:l}=a,u=N.computeConv3DInfo(l,s.shape,o,1,i),p=new uQ(u);return n.runWebGLProgram(p,[r,s],"float32")}var xQ={kernelName:nm,backendName:"webgl",kernelFunc:yQ},vQ=Uu+` return cos(x); -`,iQ=Ye({opSnippet:sQ}),oQ={kernelName:ki,backendName:"webgl",kernelFunc:iQ},lQ=` +`,wQ=Ye({opSnippet:vQ}),kQ={kernelName:ki,backendName:"webgl",kernelFunc:wQ},IQ=` float e2x = exp(-x); return (e2x + 1.0 / e2x) / 2.0; -`,uQ=Ye({opSnippet:lQ}),pQ={kernelName:Ii,backendName:"webgl",kernelFunc:uQ},cQ=class{constructor(e,t,n,a,r){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];let[s,i,o,l]=e,[u]=t,[p,d]=n;this.outputShape=[u,p,d,l];let c=a==="bilinear"?1:0,[h,m]=[`${i-1}.0`,`${o-1}.0`],[f,g,b]=p>1?[`${(i-1)/(p-1)}`,"(y2-y1) * height_ratio",`y1*${h} + float(y)*(height_scale)`]:["0.0","0.0",`0.5 * (y1+y2) * ${h}`],[y,x,w]=d>1?[`${(o-1)/(d-1)}`,"(x2-x1) * width_ratio",`x1*${m} + float(x)*(width_scale)`]:["0.0","0.0",`0.5 * (x1+x2) * ${m}`];this.userCode=` +`,SQ=Ye({opSnippet:IQ}),TQ={kernelName:Ii,backendName:"webgl",kernelFunc:SQ},NQ=class{constructor(e,t,n,a,r){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];let[s,i,o,l]=e,[u]=t,[p,d]=n;this.outputShape=[u,p,d,l];let c=a==="bilinear"?1:0,[h,m]=[`${i-1}.0`,`${o-1}.0`],[f,g,b]=p>1?[`${(i-1)/(p-1)}`,"(y2-y1) * height_ratio",`y1*${h} + float(y)*(height_scale)`]:["0.0","0.0",`0.5 * (y1+y2) * ${h}`],[y,x,w]=d>1?[`${(o-1)/(d-1)}`,"(x2-x1) * width_ratio",`x1*${m} + float(x)*(width_scale)`]:["0.0","0.0",`0.5 * (x1+x2) * ${m}`];this.userCode=` const float height_ratio = float(${f}); const float width_ratio = float(${y}); void main() { @@ -2923,20 +2917,20 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam setOutput(newValue); } } - `}},dQ=e=>{let{inputs:t,backend:n,attrs:a}=e,{image:r,boxes:s,boxInd:i}=t,{cropSize:o,method:l,extrapolationValue:u}=a,p=new cQ(r.shape,s.shape,o,l,u);return n.runWebGLProgram(p,[r,s,i],"float32")},hQ={kernelName:Fl,backendName:"webgl",kernelFunc:dQ},ec;(function(e){e.Prod="*",e.Sum="+"})(ec||(ec={}));var Jk=class{constructor(e,t,n,a){this.op=e,this.outputShape=t,this.variableNames=["x"],this.customUniforms=[{name:"index",type:"float"}];let r=this.outputShape.length,s=this.op===ec.Prod?"1.0":"0.0",i=n?s:`getX(${Qk(r,"coords",this.op)})`,o=this.outputShape[this.outputShape.length-1],l="",u="";n?(l=a?`end != ${o-1}`:"end != 0",u=a?"end + 1":"end - 1"):(l=a?`end + pow2 < ${o}`:"end >= pow2",u=a?"end + pow2":"end - pow2"),this.userCode=` + `}},CQ=e=>{let{inputs:t,backend:n,attrs:a}=e,{image:r,boxes:s,boxInd:i}=t,{cropSize:o,method:l,extrapolationValue:u}=a,p=new NQ(r.shape,s.shape,o,l,u);return n.runWebGLProgram(p,[r,s,i],"float32")},_Q={kernelName:Rl,backendName:"webgl",kernelFunc:CQ},nc;(function(e){e.Prod="*",e.Sum="+"})(nc||(nc={}));var sI=class{constructor(e,t,n,a){this.op=e,this.outputShape=t,this.variableNames=["x"],this.customUniforms=[{name:"index",type:"float"}];let r=this.outputShape.length,s=this.op===nc.Prod?"1.0":"0.0",i=n?s:`getX(${iI(r,"coords",this.op)})`,o=this.outputShape[this.outputShape.length-1],l="",u="";n?(l=a?`end != ${o-1}`:"end != 0",u=a?"end + 1":"end - 1"):(l=a?`end + pow2 < ${o}`:"end >= pow2",u=a?"end + pow2":"end - pow2"),this.userCode=` void main() { ${gt(r)} coords = getOutputCoords(); - int end = ${eI(r,"coords",this.op)}; + int end = ${oI(r,"coords",this.op)}; float val = ${i}; int pow2 = int(pow(2.0, index)); if (${l}) { int idx = ${u}; - ${eI(r,"coords",this.op)} = idx; - val ${this.op}= getX(${Qk(r,"coords",this.op)}); + ${oI(r,"coords",this.op)} = idx; + val ${this.op}= getX(${iI(r,"coords",this.op)}); } setOutput(val); } - `}};function Qk(e,t,n){if(e===1)return`${t}`;if(e===2)return`${t}.x, ${t}.y`;if(e===3)return`${t}.x, ${t}.y, ${t}.z`;if(e===4)return`${t}.x, ${t}.y, ${t}.z, ${t}.w`;throw new Error(`Cumulative ${n} for rank ${e} is not yet supported`)}function eI(e,t,n){if(e===1)return`${t}`;if(e===2)return`${t}.y`;if(e===3)return`${t}.z`;if(e===4)return`${t}.w`;throw new Error(`Cumulative ${n} for rank ${e} is not yet supported`)}function X_(e,t,n,a,r,s){let i=t.shape.length,o=N.getAxesPermutation([a],i),l=t;o!=null&&(l=kn({inputs:{x:t},backend:n,attrs:{perm:o}}));let u=N.getInnerMostAxes(1,i)[0];if(u!==i-1)throw new Error(`WebGL cumprod shader expects an inner-most axis=${t.shape.length-1} but got axis=${a}`);let p=l.shape[u],d=ta({inputs:{x:l},backend:n});for(let c=0;c<=Math.ceil(Math.log2(p))-1;c++){let h=new Jk(e,l.shape,!1,s),m=[[c]],f=d;d=n.runWebGLProgram(h,[d],d.dtype,m),n.disposeIntermediateTensorInfo(f)}if(r){let c=new Jk(e,l.shape,r,s),h=d;d=n.runWebGLProgram(c,[d],d.dtype),n.disposeIntermediateTensorInfo(h)}if(o!=null){let c=N.getUndoAxesPermutation(o),h=kn({inputs:{x:d},backend:n,attrs:{perm:c}});return n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(l),h}return d}function mQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=a;return X_(ec.Prod,r,n,s,i,o)}var fQ={kernelName:$l,backendName:"webgl",kernelFunc:mQ};function gQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=a;return X_(ec.Sum,r,n,s,i,o)}var bQ={kernelName:Si,backendName:"webgl",kernelFunc:gQ};function yQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,weights:s}=t,{size:i,binaryOutput:o}=a;if(r.shape.length===1){let l=n.readSync(r.dataId),u=n.readSync(s.dataId),p=__(l,u,s.dtype,s.shape,i);return n.makeTensorInfo([i],s.dtype,p)}else if(r.shape.length===2){let l=n.bufferSync(r),u=n.bufferSync(s),p=E7(l,u,i,o);return n.makeTensorInfo(p.shape,s.dtype,p.values)}throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank${r.shape.length}.`)}var xQ={kernelName:nm,backendName:"webgl",kernelFunc:yQ},vQ=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=n,this.userCode=` + `}};function iI(e,t,n){if(e===1)return`${t}`;if(e===2)return`${t}.x, ${t}.y`;if(e===3)return`${t}.x, ${t}.y, ${t}.z`;if(e===4)return`${t}.x, ${t}.y, ${t}.z, ${t}.w`;throw new Error(`Cumulative ${n} for rank ${e} is not yet supported`)}function oI(e,t,n){if(e===1)return`${t}`;if(e===2)return`${t}.y`;if(e===3)return`${t}.z`;if(e===4)return`${t}.w`;throw new Error(`Cumulative ${n} for rank ${e} is not yet supported`)}function aE(e,t,n,a,r,s){let i=t.shape.length,o=N.getAxesPermutation([a],i),l=t;o!=null&&(l=In({inputs:{x:t},backend:n,attrs:{perm:o}}));let u=N.getInnerMostAxes(1,i)[0];if(u!==i-1)throw new Error(`WebGL cumprod shader expects an inner-most axis=${t.shape.length-1} but got axis=${a}`);let p=l.shape[u],d=na({inputs:{x:l},backend:n});for(let c=0;c<=Math.ceil(Math.log2(p))-1;c++){let h=new sI(e,l.shape,!1,s),m=[[c]],f=d;d=n.runWebGLProgram(h,[d],d.dtype,m),n.disposeIntermediateTensorInfo(f)}if(r){let c=new sI(e,l.shape,r,s),h=d;d=n.runWebGLProgram(c,[d],d.dtype),n.disposeIntermediateTensorInfo(h)}if(o!=null){let c=N.getUndoAxesPermutation(o),h=In({inputs:{x:d},backend:n,attrs:{perm:c}});return n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(l),h}return d}function EQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=a;return aE(nc.Prod,r,n,s,i,o)}var AQ={kernelName:Dl,backendName:"webgl",kernelFunc:EQ};function $Q(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=a;return aE(nc.Sum,r,n,s,i,o)}var FQ={kernelName:Si,backendName:"webgl",kernelFunc:$Q};function DQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,weights:s}=t,{size:i,binaryOutput:o}=a;if(r.shape.length===1){let l=n.readSync(r.dataId),u=n.readSync(s.dataId),p=P_(l,u,s.dtype,s.shape,i);return n.makeTensorInfo([i],s.dtype,p)}else if(r.shape.length===2){let l=n.bufferSync(r),u=n.bufferSync(s),p=UZ(l,u,i,o);return n.makeTensorInfo(p.shape,s.dtype,p.values)}throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank${r.shape.length}.`)}var RQ={kernelName:am,backendName:"webgl",kernelFunc:DQ},MQ=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=n,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; @@ -2955,7 +2949,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam float result = ${this.getInputSamplingString()}; setOutput(result); } - `}getHeightCoordString(){return this.dataFormat==="NHWC"?"coords[1]":"coords[2]"}getWidthCoordString(){return this.dataFormat==="NHWC"?"coords[2]":"coords[3]"}getDepthCoordString(){return this.dataFormat==="NHWC"?"coords[3]":"coords[1]"}getOutputDepthSize(){return this.dataFormat==="NHWC"?this.outputShape[3]:this.outputShape[1]}getInputSamplingString(){return this.dataFormat==="NHWC"?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}};function wQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockSize:s,dataFormat:i}=a,o=r.shape[0],l=i==="NHWC"?r.shape[1]:r.shape[2],u=i==="NHWC"?r.shape[2]:r.shape[3],p=i==="NHWC"?r.shape[3]:r.shape[1],d=l*s,c=u*s,h=p/(s*s),m=i==="NHWC"?[o,d,c,h]:[o,h,d,c],f=new vQ(m,s,i);return n.runWebGLProgram(f,[r],r.dtype)}var kQ={kernelName:Dl,backendName:"webgl",kernelFunc:wQ},Y_=class{constructor(e,t=!1,n=null,a=!1,r=!1){this.variableNames=["x","W"],this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=Nn(this.outputShape.length);let s=e.filterHeight,i=e.filterWidth,o=e.outChannels/e.inChannels,l="",u="";n&&(a?l=`float activation(float a) { + `}getHeightCoordString(){return this.dataFormat==="NHWC"?"coords[1]":"coords[2]"}getWidthCoordString(){return this.dataFormat==="NHWC"?"coords[2]":"coords[3]"}getDepthCoordString(){return this.dataFormat==="NHWC"?"coords[3]":"coords[1]"}getOutputDepthSize(){return this.dataFormat==="NHWC"?this.outputShape[3]:this.outputShape[1]}getInputSamplingString(){return this.dataFormat==="NHWC"?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}};function PQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockSize:s,dataFormat:i}=a,o=r.shape[0],l=i==="NHWC"?r.shape[1]:r.shape[2],u=i==="NHWC"?r.shape[2]:r.shape[3],p=i==="NHWC"?r.shape[3]:r.shape[1],d=l*s,c=u*s,h=p/(s*s),m=i==="NHWC"?[o,d,c,h]:[o,h,d,c],f=new MQ(m,s,i);return n.runWebGLProgram(f,[r],r.dtype)}var OQ={kernelName:Ml,backendName:"webgl",kernelFunc:PQ},rE=class{constructor(e,t=!1,n=null,a=!1,r=!1){this.variableNames=["x","W"],this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=_n(this.outputShape.length);let s=e.filterHeight,i=e.filterWidth,o=e.outChannels/e.inChannels,l="",u="";n&&(a?l=`float activation(float a) { float b = getPreluActivationWeightsAtOutCoords(); ${n} }`:r?l=`float activation(float a) { @@ -3008,7 +3002,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam ${u} setOutput(result); } - `}},Z_=class{constructor(e,t=!1,n=null,a=!1,r=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=Nn(this.outputShape.length);let s=e.outChannels/e.inChannels,i=e.padInfo.left,o=e.strideWidth,l=e.dilationWidth,u=e.filterHeight,p=e.filterWidth,d=p,c=` + `}},sE=class{constructor(e,t=!1,n=null,a=!1,r=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=_n(this.outputShape.length);let s=e.outChannels/e.inChannels,i=e.padInfo.left,o=e.strideWidth,l=e.dilationWidth,u=e.filterHeight,p=e.filterWidth,d=p,c=` int xR; int xC; int xCOffset; vec4 wTexel; vec4 previous; vec4 final;`;for(let g=0;g`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${p}'`);let d=N.computeConv2DInfo(r.shape,s.shape,i,p,o,u,!0),c;H().getBool("WEBGL_PACK_DEPTHWISECONV")&&d.strideWidth<=2&&d.outChannels/d.inChannels===1?c=new Z_(d):c=new Y_(d);let h=[[d.padInfo.top,d.padInfo.left],[d.strideHeight,d.strideWidth],[d.dilationHeight,d.dilationWidth],[d.inHeight,d.inWidth]];return n.runWebGLProgram(c,[r,s],"float32",h)}var SQ={kernelName:Ti,backendName:"webgl",kernelFunc:IQ},TQ=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,a=e.padInfo.top,r=e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode=` + `}};function LQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l,dimRoundingMode:u}=a,p=l;p==null&&(p=[1,1]),v.assert(N.eitherStridesOrDilationsAreOne(i,p),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${p}'`);let d=N.computeConv2DInfo(r.shape,s.shape,i,p,o,u,!0),c;H().getBool("WEBGL_PACK_DEPTHWISECONV")&&d.strideWidth<=2&&d.outChannels/d.inChannels===1?c=new sE(d):c=new rE(d);let h=[[d.padInfo.top,d.padInfo.left],[d.strideHeight,d.strideWidth],[d.dilationHeight,d.dilationWidth],[d.inHeight,d.inWidth]];return n.runWebGLProgram(c,[r,s],"float32",h)}var zQ={kernelName:Ti,backendName:"webgl",kernelFunc:LQ},WQ=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,a=e.padInfo.top,r=e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode=` void main() { ivec4 coords = getOutputCoords(); int wR = coords.x; @@ -3232,7 +3226,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam } setOutput(dotProd); } - `}},NQ=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,a=e.strideHeight,r=e.strideWidth,s=t-1-e.padInfo.top,i=n-1-e.padInfo.left,o=e.outChannels/e.inChannels;this.userCode=` + `}},BQ=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,a=e.strideHeight,r=e.strideWidth,s=t-1-e.padInfo.top,i=n-1-e.padInfo.left,o=e.outChannels/e.inChannels;this.userCode=` const ivec2 pads = ivec2(${s}, ${i}); void main() { @@ -3277,13 +3271,13 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam } setOutput(dotProd); } - `}};function CQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,dy:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:u,filterShape:p}=a,d=N.computeConv2DInfo(r.shape,p,i,o,l,u,!0),c=new TQ(d);return n.runWebGLProgram(c,[r,s],"float32")}var _Q={kernelName:am,backendName:"webgl",kernelFunc:CQ};function EQ(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,filter:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:u,inputShape:p}=a,d=N.computeConv2DInfo(p,s.shape,i,o,l,u,!0),c=new NQ(d);return n.runWebGLProgram(c,[r,s],"float32")}var AQ={kernelName:rm,backendName:"webgl",kernelFunc:EQ},$Q=class{constructor(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode=` + `}};function VQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,dy:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:u,filterShape:p}=a,d=N.computeConv2DInfo(r.shape,p,i,o,l,u,!0),c=new WQ(d);return n.runWebGLProgram(c,[r,s],"float32")}var UQ={kernelName:rm,backendName:"webgl",kernelFunc:VQ};function GQ(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,filter:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:u,inputShape:p}=a,d=N.computeConv2DInfo(p,s.shape,i,o,l,u,!0),c=new BQ(d);return n.runWebGLProgram(c,[r,s],"float32")}var HQ={kernelName:sm,backendName:"webgl",kernelFunc:GQ},jQ=class{constructor(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode=` void main() { ivec2 coords = getOutputCoords(); float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0; setOutput(val); } - `}};function FQ(e){let{inputs:t,backend:n}=e,{x:a}=t,r=[...a.shape,...a.shape],s=v.sizeFromShape(a.shape),i=de({inputs:{x:a},backend:n,attrs:{shape:[s]}}),o=new $Q(s),l=n.runWebGLProgram(o,[i],i.dtype),u=de({inputs:{x:l},backend:n,attrs:{shape:r}});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(l),u}var DQ={kernelName:sm,backendName:"webgl",kernelFunc:FQ},RQ=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let{inHeight:t,inWidth:n,padInfo:a,strideHeight:r,strideWidth:s,filterHeight:i,filterWidth:o,dilationHeight:l,dilationWidth:u}=e,{top:p,left:d}=a;this.userCode=` + `}};function qQ(e){let{inputs:t,backend:n}=e,{x:a}=t,r=[...a.shape,...a.shape],s=v.sizeFromShape(a.shape),i=de({inputs:{x:a},backend:n,attrs:{shape:[s]}}),o=new jQ(s),l=n.runWebGLProgram(o,[i],i.dtype),u=de({inputs:{x:l},backend:n,attrs:{shape:r}});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(l),u}var KQ={kernelName:im,backendName:"webgl",kernelFunc:qQ},XQ=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let{inHeight:t,inWidth:n,padInfo:a,strideHeight:r,strideWidth:s,filterHeight:i,filterWidth:o,dilationHeight:l,dilationWidth:u}=e,{top:p,left:d}=a;this.userCode=` const ivec2 strides = ivec2(${r}, ${s}); const ivec2 pads = ivec2(${p}, ${d}); const float neg_infinity = -3.4e38; @@ -3321,7 +3315,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam float result = curVal; setOutput(result); } - `}};function MQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l}=a,u=N.computeDilation2DInfo(r.shape,s.shape,i,o,"NHWC",l),p,d=new RQ(u);p=n.runWebGLProgram(d,[r,s],"float32");let c=de({inputs:{x:p},backend:n,attrs:{shape:u.outShape}});return n.disposeIntermediateTensorInfo(p),c}var PQ={kernelName:oc,backendName:"webgl",kernelFunc:MQ};function OQ(e){let{inputs:t,backend:n,attrs:a}=e,{equation:r}=a,s=t,{allDims:i,summedDims:o,idDims:l}=N.decodeEinsumEquation(r,s.length);N.checkEinsumDimSizes(i.length,l,s);let{path:u,steps:p}=N.getEinsumComputePath(o,l),d=p.length,c=null,h=i.length,m=[];for(let f=0;f=0&&(c=Rf({inputs:{x:c},backend:n,attrs:{axis:u[f]-(i.length-h),keepDims:!1}}),m.push(c)),h--)}for(let f of m)f!==c&&n.disposeIntermediateTensorInfo(f);return c}var LQ={kernelName:im,backendName:"webgl",kernelFunc:OQ},zQ="return (x >= 0.0) ? x : (exp(x) - 1.0);",BQ=` + `}};function YQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l}=a,u=N.computeDilation2DInfo(r.shape,s.shape,i,o,"NHWC",l),p,d=new XQ(u);p=n.runWebGLProgram(d,[r,s],"float32");let c=de({inputs:{x:p},backend:n,attrs:{shape:u.outShape}});return n.disposeIntermediateTensorInfo(p),c}var ZQ={kernelName:uc,backendName:"webgl",kernelFunc:YQ};function JQ(e){let{inputs:t,backend:n,attrs:a}=e,{equation:r}=a,s=t,{allDims:i,summedDims:o,idDims:l}=N.decodeEinsumEquation(r,s.length);N.checkEinsumDimSizes(i.length,l,s);let{path:u,steps:p}=N.getEinsumComputePath(o,l),d=p.length,c=null,h=i.length,m=[];for(let f=0;f=0&&(c=Pf({inputs:{x:c},backend:n,attrs:{axis:u[f]-(i.length-h),keepDims:!1}}),m.push(c)),h--)}for(let f of m)f!==c&&n.disposeIntermediateTensorInfo(f);return c}var QQ={kernelName:om,backendName:"webgl",kernelFunc:JQ},eee="return (x >= 0.0) ? x : (exp(x) - 1.0);",tee=` vec4 result; result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0); @@ -3330,12 +3324,12 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0); return result; -`,WQ=Ye({opSnippet:zQ,packedOpSnippet:BQ}),VQ={kernelName:Ci,backendName:"webgl",kernelFunc:WQ},UQ="return (b >= 1.0) ? a : a * (b + 1.0);",GQ=` +`,nee=Ye({opSnippet:eee,packedOpSnippet:tee}),aee={kernelName:Ci,backendName:"webgl",kernelFunc:nee},ree="return (b >= 1.0) ? a : a * (b + 1.0);",see=` vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.))); return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0)))); -`,HQ=e=>{let{inputs:t,backend:n}=e,{dy:a,y:r}=t,s=H().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new nd(GQ,a.shape,r.shape):new bl(UQ,a.shape,r.shape);return n.runWebGLProgram(s,[a,r],a.dtype)},jQ={kernelName:om,backendName:"webgl",kernelFunc:HQ},qQ=` +`,iee=e=>{let{inputs:t,backend:n}=e,{dy:a,y:r}=t,s=H().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new ad(see,a.shape,r.shape):new xl(ree,a.shape,r.shape);return n.runWebGLProgram(s,[a,r],a.dtype)},oee={kernelName:lm,backendName:"webgl",kernelFunc:iee},lee=` return vec4(equal(a, b)); -`,KQ="return float(a == b);",XQ=un({opSnippet:KQ,packedOpSnippet:qQ,dtype:"bool",cpuKernelImpl:D7}),YQ={kernelName:Ml,backendName:"webgl",kernelFunc:XQ},ZQ=` +`,uee="return float(a == b);",pee=pn({opSnippet:uee,packedOpSnippet:lee,dtype:"bool",cpuKernelImpl:qZ}),cee={kernelName:Ol,backendName:"webgl",kernelFunc:pee},dee=` // Error function is calculated approximately with elementary function. // See "Handbook of Mathematical Functions with Formulas, // Graphs, and Mathematical Tables", Abramowitz and Stegun. @@ -3350,9 +3344,9 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam x = abs(x); float t = 1.0 / (1.0 + p * x); return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x)); -`,JQ=Ye({opSnippet:ZQ}),QQ={kernelName:Rl,backendName:"webgl",kernelFunc:JQ},eee=Wu+` +`,hee=Ye({opSnippet:dee}),mee={kernelName:Pl,backendName:"webgl",kernelFunc:hee},fee=Uu+` return exp(x); -`,tee=` +`,gee=` vec4 result = exp(x); bvec4 isNaN = isnan(x); result.r = isNaN.r ? x.r : result.r; @@ -3361,7 +3355,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam result.a = isNaN.a ? x.a : result.a; return result; -`,J_=Ye({opSnippet:eee,packedOpSnippet:tee,cpuKernelImpl:R7,dtype:"float32"}),nee={kernelName:_i,backendName:"webgl",kernelFunc:J_};function px(e){let{inputs:t,attrs:n,backend:a}=e,{dim:r}=n,{input:s}=t,i=s.shape.length,o=s.shape.slice(),l=r;return r<0&&(v.assert(-(i+1)<=r,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),l=i+r+1),o.splice(l,0,1),de({inputs:{x:s},backend:a,attrs:{shape:o}})}var aee={kernelName:Pl,backendName:"webgl",kernelFunc:px},tI="return exp(x) - 1.0;",ree=Ye({opSnippet:tI,packedOpSnippet:tI,cpuKernelImpl:M7}),see={kernelName:Ol,backendName:"webgl",kernelFunc:ree},nI=class{constructor(e,t,n){this.variableNames=["real","imag"];let a=t[1];this.outputShape=t;let r=n?`2.0 * ${Math.PI}`:`-2.0 * ${Math.PI}`,s=n?`${a}.0`:"1.0",i;if(e==="real")i="return real * expR - imag * expI;";else if(e==="imag")i="return real * expI + imag * expR;";else throw new Error(`FFT component must be either "real" or "imag", got ${e}.`);this.userCode=` +`,iE=Ye({opSnippet:fee,packedOpSnippet:gee,cpuKernelImpl:KZ,dtype:"float32"}),bee={kernelName:_i,backendName:"webgl",kernelFunc:iE};function dx(e){let{inputs:t,attrs:n,backend:a}=e,{dim:r}=n,{input:s}=t,i=s.shape.length,o=s.shape.slice(),l=r;return r<0&&(v.assert(-(i+1)<=r,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),l=i+r+1),o.splice(l,0,1),de({inputs:{x:s},backend:a,attrs:{shape:o}})}var yee={kernelName:Ll,backendName:"webgl",kernelFunc:dx},lI="return exp(x) - 1.0;",xee=Ye({opSnippet:lI,packedOpSnippet:lI,cpuKernelImpl:XZ}),vee={kernelName:zl,backendName:"webgl",kernelFunc:xee},uI=class{constructor(e,t,n){this.variableNames=["real","imag"];let a=t[1];this.outputShape=t;let r=n?`2.0 * ${Math.PI}`:`-2.0 * ${Math.PI}`,s=n?`${a}.0`:"1.0",i;if(e==="real")i="return real * expR - imag * expI;";else if(e==="imag")i="return real * expI + imag * expR;";else throw new Error(`FFT component must be either "real" or "imag", got ${e}.`);this.userCode=` const float exponentMultiplier = ${r}; float unaryOpComplex(float real, float expR, float imag, float expI) { @@ -3394,12 +3388,12 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam ivec2 coords = getOutputCoords(); setOutput(mulMatDFT(coords[0], coords[1])); } - `}};function Q_(e,t,n){let a=n.texData.get(e.dataId),r=v.sizeFromShape(e.shape),s=e.shape[e.shape.length-1],i=r/s,o=de({inputs:{x:e},backend:n,attrs:{shape:[i,s]}}),l=o.shape,u=new nI("real",l,t),p=new nI("imag",l,t),d=[{dataId:a.complexTensorInfos.real.dataId,dtype:a.complexTensorInfos.real.dtype,shape:l},{dataId:a.complexTensorInfos.imag.dataId,dtype:a.complexTensorInfos.imag.dtype,shape:l}],c=n.runWebGLProgram(u,d,"float32"),h=n.runWebGLProgram(p,d,"float32"),m=Is({inputs:{real:c,imag:h},backend:n});n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(h);let f=de({inputs:{x:m},backend:n,attrs:{shape:e.shape}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(m),f}function iee(e){let{inputs:t,backend:n}=e,{input:a}=t;return Q_(a,!1,n)}var oee={kernelName:lm,backendName:"webgl",kernelFunc:iee},lee=class{constructor(e,t){this.outputShape=[],this.customUniforms=[{name:"value",type:"float"}],this.variableNames=["x"],this.outputShape=e,this.userCode=` + `}};function oE(e,t,n){let a=n.texData.get(e.dataId),r=v.sizeFromShape(e.shape),s=e.shape[e.shape.length-1],i=r/s,o=de({inputs:{x:e},backend:n,attrs:{shape:[i,s]}}),l=o.shape,u=new uI("real",l,t),p=new uI("imag",l,t),d=[{dataId:a.complexTensorInfos.real.dataId,dtype:a.complexTensorInfos.real.dtype,shape:l},{dataId:a.complexTensorInfos.imag.dataId,dtype:a.complexTensorInfos.imag.dtype,shape:l}],c=n.runWebGLProgram(u,d,"float32"),h=n.runWebGLProgram(p,d,"float32"),m=Is({inputs:{real:c,imag:h},backend:n});n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(h);let f=de({inputs:{x:m},backend:n,attrs:{shape:e.shape}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(m),f}function wee(e){let{inputs:t,backend:n}=e,{input:a}=t;return oE(a,!1,n)}var kee={kernelName:um,backendName:"webgl",kernelFunc:wee},Iee=class{constructor(e,t){this.outputShape=[],this.customUniforms=[{name:"value",type:"float"}],this.variableNames=["x"],this.outputShape=e,this.userCode=` void main() { // Input can be obtained from uniform value. setOutput(value); } - `}};function rd(e){let{backend:t,attrs:n}=e,{shape:a,value:r}=n,{dtype:s}=n;if(s=s||v.inferDtype(r),s==="string"){let i=v.getArrayFromDType(s,v.sizeFromShape(a));return i.fill(r),t.makeTensorInfo(a,s,i)}else{let i=new lee(a,r),o=[[r]];return t.runWebGLProgram(i,[],s,o)}}var uee={kernelName:lc,backendName:"webgl",kernelFunc:rd},pee=class{constructor(e){this.variableNames=["Image"],this.outputShape=[];let t=e[2];this.outputShape=e,this.userCode=` + `}};function sd(e){let{backend:t,attrs:n}=e,{shape:a,value:r}=n,{dtype:s}=n;if(s=s||v.inferDtype(r),s==="string"){let i=v.getArrayFromDType(s,v.sizeFromShape(a));return i.fill(r),t.makeTensorInfo(a,s,i)}else{let i=new Iee(a,r),o=[[r]];return t.runWebGLProgram(i,[],s,o)}}var See={kernelName:pc,backendName:"webgl",kernelFunc:sd},Tee=class{constructor(e){this.variableNames=["Image"],this.outputShape=[];let t=e[2];this.outputShape=e,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int x = coords[2]; @@ -3413,7 +3407,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam } setOutput(outputValue); } - `}},cee={kernelName:Ll,backendName:"webgl",kernelFunc:({inputs:e,backend:t})=>{let{image:n}=e,a=t,r=new pee(n.shape);return a.runWebGLProgram(r,[n],n.dtype)}},aI="return floor(x);",dee=Ye({opSnippet:aI,packedOpSnippet:aI,cpuKernelImpl:P7}),hee={kernelName:Ei,backendName:"webgl",kernelFunc:dee},mee=` + `}},Nee={kernelName:Wl,backendName:"webgl",kernelFunc:({inputs:e,backend:t})=>{let{image:n}=e,a=t,r=new Tee(n.shape);return a.runWebGLProgram(r,[n],n.dtype)}},pI="return floor(x);",Cee=Ye({opSnippet:pI,packedOpSnippet:pI,cpuKernelImpl:YZ}),_ee={kernelName:Ei,backendName:"webgl",kernelFunc:Cee},Eee=` float s = sign(a) * sign(b); int ia = round(a); int ib = round(b); @@ -3423,7 +3417,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam } else { return NAN; } -`,fee=` +`,Aee=` ivec4 ia = round(a); ivec4 ib = round(b); bvec4 cond = notEqual(ib, ivec4(0)); @@ -3444,7 +3438,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam result[3] = idiv(ia[3], ib[3], s[3]); } return vec4(result); -`,gee=un({opSnippet:mee,packedOpSnippet:fee,dtype:"int32"}),bee={kernelName:Ai,backendName:"webgl",kernelFunc:gee},yee=class{constructor(e){this.variableNames=["A"];let t=Tn(),[n,a]=e;this.outputShape=e,this.userCode=` +`,$ee=pn({opSnippet:Eee,packedOpSnippet:Aee,dtype:"int32"}),Fee={kernelName:Ai,backendName:"webgl",kernelFunc:$ee},Dee=class{constructor(e){this.variableNames=["A"];let t=Cn(),[n,a]=e;this.outputShape=e,this.userCode=` void main() { ivec3 coords = getOutputCoords(); int texR = coords[0]; @@ -3466,7 +3460,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam setOutput(floor(value * 255.0 + 0.5)); } - `}},xee=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let t=Tn(),[n,a]=e;this.outputShape=e,this.userCode=` + `}},Ree=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let t=Cn(),[n,a]=e;this.outputShape=e,this.userCode=` void main() { ivec3 coords = getOutputCoords(); int texR = coords[0]; @@ -3500,7 +3494,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam ${t.output} = result; } - `}},vee={kernelName:bh,backendName:"webgl",kernelFunc:wee},jo,fy=H().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");function wee(e){let{inputs:t,backend:n,attrs:a}=e,{pixels:r}=t,{numChannels:s}=a,i=typeof HTMLVideoElement!="undefined"&&r instanceof HTMLVideoElement,o=typeof HTMLImageElement!="undefined"&&r instanceof HTMLImageElement,[l,u]=i?[r.videoWidth,r.videoHeight]:[r.width,r.height],p=[u,l],d=[u,l,s];if(o||i){let f=H().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");(jo==null||f!==fy)&&(fy=f,jo=document.createElement("canvas").getContext("2d",{willReadFrequently:fy})),jo.canvas.width=l,jo.canvas.height=u,jo.drawImage(r,0,0,l,u),r=jo.canvas}let c=n.makeTensorInfo(p,"int32");n.texData.get(c.dataId).usage=pa.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(c.dataId),r);let h=H().getBool("WEBGL_PACK")?new xee(d):new yee(d),m=n.runWebGLProgram(h,[c],"int32");return n.disposeData(c.dataId),m}function kee(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dataFormat:p,dilations:d,dimRoundingMode:c,activation:h,leakyreluAlpha:m}=a,f=N.convertConv2DDataFormat(p),g=N.computeConv2DInfo(r.shape,s.shape,l,d,u,c,!1,f),b,y=[],x=i!=null,w=o!=null,I=h==="leakyrelu",T=()=>{let E=[r,s],A=(R,F)=>{if(F==="NCHW"&&R.shape.length===1&&R.shape[0]!==1){let S=de({inputs:{x:R},backend:n,attrs:{shape:[R.shape[0],1,1]}});return y.push(S),S}return R};if(x&&E.push(A(i,p)),w&&E.push(A(o,p)),I){let R=n.makeTensorInfo([],"float32",v.createScalarValue(m,"float32"));E.push(R),y.push(R)}return E};if(g.filterHeight===1&&g.filterWidth===1&&g.dilationHeight===1&&g.dilationWidth===1&&g.strideHeight===1&&g.strideWidth===1&&(g.padInfo.type==="SAME"||g.padInfo.type==="VALID"))b=q_({x:r,filter:s,convInfo:g,backend:n,bias:i,activation:h,preluActivationWeights:o,leakyreluAlpha:m});else if(g.strideWidth<=2&&f==="channelsLast"&&H().getBool("WEBGL_EXP_CONV")){let E=h?Jp(h,!0):null,A=new j_(g,x,E,w,I),R=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],F=T();b=n.runWebGLProgram(A,F,"float32",R)}else if(H().getBool("WEBGL_CONV_IM2COL"))b=K_({x:r,filter:s,convInfo:g,backend:n,bias:i,activation:h,preluActivationWeights:o,leakyreluAlpha:m});else{let E=h?Jp(h,!1):null,A=new H_(g,x,E,w,I),R=T();b=n.runWebGLProgram(A,R,"float32")}let C=de({inputs:{x:b},backend:n,attrs:{shape:g.outShape}});return y.push(b),y.forEach(E=>n.disposeIntermediateTensorInfo(E)),C}var Iee={kernelName:Qs,backendName:"webgl",kernelFunc:kee};function See(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dilations:p,dimRoundingMode:d,activation:c,leakyreluAlpha:h}=a,m=[],f=p;f==null&&(f=[1,1]),v.assert(N.eitherStridesOrDilationsAreOne(l,f),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${l} and dilations '${f}'`);let g=N.computeConv2DInfo(r.shape,s.shape,l,f,u,d,!0),b=H().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels===1,y=c?Jp(c,b):null,x=[r,s],w=i!=null,I=o!=null,T=c==="leakyrelu";if(w&&x.push(i),I&&x.push(o),T){let R=n.makeTensorInfo([],"float32",v.createScalarValue(h,"float32"));x.push(R),m.push(R)}let C;b?C=new Z_(g,w,y,I,T):C=new Y_(g,w,y,I,T);let E=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],A=n.runWebGLProgram(C,x,"float32",E);return m.forEach(R=>n.disposeIntermediateTensorInfo(R)),A}var Tee={kernelName:ei,backendName:"webgl",kernelFunc:See},Nee=class{constructor(e,t,n,a){this.sliceDim=e,this.strides=t,this.paramsShape=a,this.variableNames=["x","indices"],this.outputShape=n;let r=gt(n.length),s=` + `}},Mee={kernelName:bh,backendName:"webgl",kernelFunc:Pee},qo,by=H().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");function Pee(e){let{inputs:t,backend:n,attrs:a}=e,{pixels:r}=t,{numChannels:s}=a,i=typeof HTMLVideoElement!="undefined"&&r instanceof HTMLVideoElement,o=typeof HTMLImageElement!="undefined"&&r instanceof HTMLImageElement,[l,u]=i?[r.videoWidth,r.videoHeight]:[r.width,r.height],p=[u,l],d=[u,l,s];if(o||i){let f=H().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");(qo==null||f!==by)&&(by=f,qo=document.createElement("canvas").getContext("2d",{willReadFrequently:by})),qo.canvas.width=l,qo.canvas.height=u,qo.drawImage(r,0,0,l,u),r=qo.canvas}let c=n.makeTensorInfo(p,"int32");n.texData.get(c.dataId).usage=pa.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(c.dataId),r);let h=H().getBool("WEBGL_PACK")?new Ree(d):new Dee(d),m=n.runWebGLProgram(h,[c],"int32");return n.disposeData(c.dataId),m}function Oee(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dataFormat:p,dilations:d,dimRoundingMode:c,activation:h,leakyreluAlpha:m}=a,f=N.convertConv2DDataFormat(p),g=N.computeConv2DInfo(r.shape,s.shape,l,d,u,c,!1,f),b,y=[],x=i!=null,w=o!=null,I=h==="leakyrelu",T=()=>{let E=[r,s],A=(R,F)=>{if(F==="NCHW"&&R.shape.length===1&&R.shape[0]!==1){let S=de({inputs:{x:R},backend:n,attrs:{shape:[R.shape[0],1,1]}});return y.push(S),S}return R};if(x&&E.push(A(i,p)),w&&E.push(A(o,p)),I){let R=n.makeTensorInfo([],"float32",v.createScalarValue(m,"float32"));E.push(R),y.push(R)}return E};if(g.filterHeight===1&&g.filterWidth===1&&g.dilationHeight===1&&g.dilationWidth===1&&g.strideHeight===1&&g.strideWidth===1&&(g.padInfo.type==="SAME"||g.padInfo.type==="VALID"))b=tE({x:r,filter:s,convInfo:g,backend:n,bias:i,activation:h,preluActivationWeights:o,leakyreluAlpha:m});else if(g.strideWidth<=2&&f==="channelsLast"&&H().getBool("WEBGL_EXP_CONV")){let E=h?ec(h,!0):null,A=new eE(g,x,E,w,I),R=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],F=T();b=n.runWebGLProgram(A,F,"float32",R)}else if(H().getBool("WEBGL_CONV_IM2COL"))b=nE({x:r,filter:s,convInfo:g,backend:n,bias:i,activation:h,preluActivationWeights:o,leakyreluAlpha:m});else{let E=h?ec(h,!1):null,A=new Q_(g,x,E,w,I),R=T();b=n.runWebGLProgram(A,R,"float32")}let C=de({inputs:{x:b},backend:n,attrs:{shape:g.outShape}});return y.push(b),y.forEach(E=>n.disposeIntermediateTensorInfo(E)),C}var Lee={kernelName:Qs,backendName:"webgl",kernelFunc:Oee};function zee(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dilations:p,dimRoundingMode:d,activation:c,leakyreluAlpha:h}=a,m=[],f=p;f==null&&(f=[1,1]),v.assert(N.eitherStridesOrDilationsAreOne(l,f),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${l} and dilations '${f}'`);let g=N.computeConv2DInfo(r.shape,s.shape,l,f,u,d,!0),b=H().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels===1,y=c?ec(c,b):null,x=[r,s],w=i!=null,I=o!=null,T=c==="leakyrelu";if(w&&x.push(i),I&&x.push(o),T){let R=n.makeTensorInfo([],"float32",v.createScalarValue(h,"float32"));x.push(R),m.push(R)}let C;b?C=new sE(g,w,y,I,T):C=new rE(g,w,y,I,T);let E=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],A=n.runWebGLProgram(C,x,"float32",E);return m.forEach(R=>n.disposeIntermediateTensorInfo(R)),A}var Wee={kernelName:ei,backendName:"webgl",kernelFunc:zee},Bee=class{constructor(e,t,n,a){this.sliceDim=e,this.strides=t,this.paramsShape=a,this.variableNames=["x","indices"],this.outputShape=n;let r=gt(n.length),s=` int index;`;for(let i=0;i= 0) && (index < ${e[2]}) ? 1.0 : 0.0; setOutput(inBounds * getA(${a})); } - `}};function Aee(e,t){let n=["resRC.x","resRC.y","resRC.z","resRC.w"],a=[];for(let r=0;r=0,()=>`GatherV2: the index value ${I} is not in [0, ${x-1}]`)}}let u=N.segment_util.collectGatherOpShapeInfo(r,s,l,o),p=v.sizeFromShape(s.shape),d=[],c=de({inputs:{x:r},backend:n,attrs:{shape:[u.batchSize,u.outerSize,u.dimSize,u.sliceSize]}}),h=de({inputs:{x:s},backend:n,attrs:{shape:[u.batchSize,p/u.batchSize]}});d.push(c),d.push(h);let m=[u.batchSize,u.outerSize,p/u.batchSize,u.sliceSize];if(n.shouldExecuteOnCPU([r,s])||r.dtype==="string"){let y=n.bufferSync(h),x=n.bufferSync(c),w=L7(x,y,m);return d.forEach(I=>n.disposeIntermediateTensorInfo(I)),n.makeTensorInfo(u.outputShape,w.dtype,w.values)}let f=new Eee(c.shape,m),g=n.runWebGLProgram(f,[c,h],c.dtype);d.push(g);let b=de({inputs:{x:g},backend:n,attrs:{shape:u.outputShape}});return d.forEach(y=>n.disposeIntermediateTensorInfo(y)),b}var $ee={kernelName:zl,backendName:"webgl",kernelFunc:eE},Fee="return float(a > b);",Dee=` + `}};function Hee(e,t){let n=["resRC.x","resRC.y","resRC.z","resRC.w"],a=[];for(let r=0;r=0,()=>`GatherV2: the index value ${I} is not in [0, ${x-1}]`)}}let u=N.segment_util.collectGatherOpShapeInfo(r,s,l,o),p=v.sizeFromShape(s.shape),d=[],c=de({inputs:{x:r},backend:n,attrs:{shape:[u.batchSize,u.outerSize,u.dimSize,u.sliceSize]}}),h=de({inputs:{x:s},backend:n,attrs:{shape:[u.batchSize,p/u.batchSize]}});d.push(c),d.push(h);let m=[u.batchSize,u.outerSize,p/u.batchSize,u.sliceSize];if(n.shouldExecuteOnCPU([r,s])||r.dtype==="string"){let y=n.bufferSync(h),x=n.bufferSync(c),w=JZ(x,y,m);return d.forEach(I=>n.disposeIntermediateTensorInfo(I)),n.makeTensorInfo(u.outputShape,w.dtype,w.values)}let f=new Gee(c.shape,m),g=n.runWebGLProgram(f,[c,h],c.dtype);d.push(g);let b=de({inputs:{x:g},backend:n,attrs:{shape:u.outputShape}});return d.forEach(y=>n.disposeIntermediateTensorInfo(y)),b}var jee={kernelName:Bl,backendName:"webgl",kernelFunc:lE},qee="return float(a > b);",Kee=` return vec4(greaterThan(a, b)); -`,Ree=un({opSnippet:Fee,packedOpSnippet:Dee,cpuKernelImpl:z7,dtype:"bool"}),Mee={kernelName:Wl,backendName:"webgl",kernelFunc:Ree},Pee="return float(a >= b);",Oee=` +`,Xee=pn({opSnippet:qee,packedOpSnippet:Kee,cpuKernelImpl:QZ,dtype:"bool"}),Yee={kernelName:Ul,backendName:"webgl",kernelFunc:Xee},Zee="return float(a >= b);",Jee=` return vec4(greaterThanEqual(a, b)); -`,Lee=un({opSnippet:Pee,packedOpSnippet:Oee,dtype:"bool",cpuKernelImpl:B7}),zee={kernelName:Fi,backendName:"webgl",kernelFunc:Lee};function Bee(e){let{inputs:t,backend:n}=e,{input:a}=t;return Q_(a,!0,n)}var Wee={kernelName:um,backendName:"webgl",kernelFunc:Bee},Vee="return float(!isnan(x) && !isinf(x));",Uee=Ye({opSnippet:Vee,dtype:"bool"}),Gee={kernelName:Vl,backendName:"webgl",kernelFunc:Uee},Hee="return float(isinf(x));",jee=Ye({opSnippet:Hee,dtype:"bool"}),qee={kernelName:Ul,backendName:"webgl",kernelFunc:jee},Kee="return float(isnan(x));",Xee=Ye({opSnippet:Kee,dtype:"bool"}),Yee={kernelName:Gl,backendName:"webgl",kernelFunc:Xee},Zee="return float(a < b);",Jee=` +`,Qee=pn({opSnippet:Zee,packedOpSnippet:Jee,dtype:"bool",cpuKernelImpl:e7}),ete={kernelName:Fi,backendName:"webgl",kernelFunc:Qee};function tte(e){let{inputs:t,backend:n}=e,{input:a}=t;return oE(a,!0,n)}var nte={kernelName:pm,backendName:"webgl",kernelFunc:tte},ate="return float(!isnan(x) && !isinf(x));",rte=Ye({opSnippet:ate,dtype:"bool"}),ste={kernelName:Gl,backendName:"webgl",kernelFunc:rte},ite="return float(isinf(x));",ote=Ye({opSnippet:ite,dtype:"bool"}),lte={kernelName:Hl,backendName:"webgl",kernelFunc:ote},ute="return float(isnan(x));",pte=Ye({opSnippet:ute,dtype:"bool"}),cte={kernelName:jl,backendName:"webgl",kernelFunc:pte},dte="return float(a < b);",hte=` return vec4(lessThan(a, b)); -`,Qee=un({opSnippet:Zee,packedOpSnippet:Jee,cpuKernelImpl:W7,dtype:"bool"}),ete={kernelName:Hl,backendName:"webgl",kernelFunc:Qee},tte="return float(a <= b);",nte=` +`,mte=pn({opSnippet:dte,packedOpSnippet:hte,cpuKernelImpl:t7,dtype:"bool"}),fte={kernelName:ql,backendName:"webgl",kernelFunc:mte},gte="return float(a <= b);",bte=` return vec4(lessThanEqual(a, b)); -`,ate=un({opSnippet:tte,packedOpSnippet:nte,cpuKernelImpl:V7,dtype:"bool"}),rte={kernelName:jl,backendName:"webgl",kernelFunc:ate};function ste(e){let{backend:t,attrs:n}=e,{start:a,stop:r,num:s}=n,i=U7(a,r,s);return t.makeTensorInfo([i.length],"float32",i)}var ite={kernelName:cm,backendName:"webgl",kernelFunc:ste},ote=Wu+` +`,yte=pn({opSnippet:gte,packedOpSnippet:bte,cpuKernelImpl:n7,dtype:"bool"}),xte={kernelName:Kl,backendName:"webgl",kernelFunc:yte};function vte(e){let{backend:t,attrs:n}=e,{start:a,stop:r,num:s}=n,i=a7(a,r,s);return t.makeTensorInfo([i.length],"float32",i)}var wte={kernelName:dm,backendName:"webgl",kernelFunc:vte},kte=Uu+` return x < 0.0 ? 0./0. : log(x); -`,lte=` +`,Ite=` vec4 result = log(x); bvec4 isNaN = isnan(x); result.r = isNaN.r ? x.r : (x.r < 0.0 ? 0./0. : result.r); @@ -3540,18 +3534,18 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam result.b = isNaN.b ? x.b : (x.b < 0.0 ? 0./0. : result.b); result.a = isNaN.a ? x.a : (x.a < 0.0 ? 0./0. : result.a); return result; -`,ute=Ye({opSnippet:ote,packedOpSnippet:lte,cpuKernelImpl:G7}),pte={kernelName:Mi,backendName:"webgl",kernelFunc:ute},cte=Wu+` +`,Ste=Ye({opSnippet:kte,packedOpSnippet:Ite,cpuKernelImpl:r7}),Tte={kernelName:Mi,backendName:"webgl",kernelFunc:Ste},Nte=Uu+` return log(1.0 + x); -`,dte=Ye({opSnippet:cte}),hte={kernelName:ql,backendName:"webgl",kernelFunc:dte},mte="return float(a >= 1.0 && b >= 1.0);",fte=` +`,Cte=Ye({opSnippet:Nte}),_te={kernelName:Xl,backendName:"webgl",kernelFunc:Cte},Ete="return float(a >= 1.0 && b >= 1.0);",Ate=` return vec4( vec4(greaterThanEqual(a, vec4(1.0))) * vec4(greaterThanEqual(b, vec4(1.0)))); -`,gte=un({opSnippet:mte,packedOpSnippet:fte,dtype:"bool"}),bte={kernelName:Kl,backendName:"webgl",kernelFunc:gte},yte="return float(!(x >= 1.0));",xte=Ye({opSnippet:yte}),vte={kernelName:Xl,backendName:"webgl",kernelFunc:xte},wte="return float(a >= 1.0 || b >= 1.0);",kte=` +`,$te=pn({opSnippet:Ete,packedOpSnippet:Ate,dtype:"bool"}),Fte={kernelName:Yl,backendName:"webgl",kernelFunc:$te},Dte="return float(!(x >= 1.0));",Rte=Ye({opSnippet:Dte}),Mte={kernelName:Zl,backendName:"webgl",kernelFunc:Rte},Pte="return float(a >= 1.0 || b >= 1.0);",Ote=` return min( vec4(greaterThanEqual(a, vec4(1.0))) + vec4(greaterThanEqual(b, vec4(1.0))), vec4(1.0)); -`,Ite=un({opSnippet:wte,packedOpSnippet:kte,dtype:"bool"}),Ste={kernelName:Yl,backendName:"webgl",kernelFunc:Ite},Tte=class{constructor(e,t,n,a,r){this.variableNames=["x"],this.outputShape=[];let s=t,i=e[3]-1;this.outputShape=e;let o,l=`float(${n}) + float(${a}) * sum`;r===.5?o=`inversesqrt(${l})`:r===1?o=`1.0/(${l})`:o=`exp(log(${l}) * float(-${r}));`,this.userCode=` +`,Lte=pn({opSnippet:Pte,packedOpSnippet:Ote,dtype:"bool"}),zte={kernelName:Jl,backendName:"webgl",kernelFunc:Lte},Wte=class{constructor(e,t,n,a,r){this.variableNames=["x"],this.outputShape=[];let s=t,i=e[3]-1;this.outputShape=e;let o,l=`float(${n}) + float(${a}) * sum`;r===.5?o=`inversesqrt(${l})`:r===1?o=`1.0/(${l})`:o=`exp(log(${l}) * float(-${r}));`,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; @@ -3570,7 +3564,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam float val = x * ${o}; setOutput(val); } - `}},Nte=class{constructor(e,t,n,a,r){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let s=t,i=e[3]-1;this.outputShape=e;let o,l=`float(${n}) + float(${a}) * sum`;r===.5?o=`inversesqrt(${l})`:r===1?o=`1.0/(${l})`:o=`exp(log(${l}) * float(-${r}));`,this.userCode=` + `}},Bte=class{constructor(e,t,n,a,r){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let s=t,i=e[3]-1;this.outputShape=e;let o,l=`float(${n}) + float(${a}) * sum`;r===.5?o=`inversesqrt(${l})`:r===1?o=`1.0/(${l})`:o=`exp(log(${l}) * float(-${r}));`,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords.x; @@ -3632,7 +3626,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam vec4 result = xAtOutputCoords * ${o}; setOutput(result); } - `}},Cte=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{depthRadius:s,bias:i,alpha:o,beta:l}=a,u=H().getBool("WEBGL_PACK_NORMALIZATION")?new Nte(r.shape,s,i,o,l):new Tte(r.shape,s,i,o,l);return n.runWebGLProgram(u,[r],r.dtype)},_te={kernelName:uc,backendName:"webgl",kernelFunc:Cte},Ete=class{constructor(e,t,n,a,r){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=a,this.beta=r,this.userCode=` + `}},Vte=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{depthRadius:s,bias:i,alpha:o,beta:l}=a,u=H().getBool("WEBGL_PACK_NORMALIZATION")?new Bte(r.shape,s,i,o,l):new Wte(r.shape,s,i,o,l);return n.runWebGLProgram(u,[r],r.dtype)},Ute={kernelName:cc,backendName:"webgl",kernelFunc:Vte},Gte=class{constructor(e,t,n,a,r){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=a,this.beta=r,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; @@ -3687,16 +3681,16 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam } setOutput(result); } - `}},Ate=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r,y:s,dy:i}=t,{depthRadius:o,bias:l,alpha:u,beta:p}=a,d=new Ete(r.shape,o,l,u,p);return n.runWebGLProgram(d,[r,s,i],r.dtype)},$te={kernelName:dm,backendName:"webgl",kernelFunc:Ate};function Fte(e,t,n,a){let r=v.sizeFromShape(t),s=v.sizeFromShape(e.shape)/r,i=de({inputs:{x:e},attrs:{shape:[s,r]},backend:a}),o=wo(i,e.dtype,"max",a),l=de({inputs:{x:o},attrs:{shape:n},backend:a});return a.disposeIntermediateTensorInfo(i),a.disposeIntermediateTensorInfo(o),l}function tE(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{reductionIndices:s,keepDims:i}=a,o=r.shape.length,l=v.parseAxisParam(s,r.shape),u=l,p=N.getAxesPermutation(u,o),d=p!=null,c=n.shouldExecuteOnCPU([r]),h=r;if(d){if(c){let y=n.texData.get(h.dataId).values,x=new Array(o);for(let T=0;T{let{inputs:t,backend:n,attrs:a}=e,{x:r,y:s,dy:i}=t,{depthRadius:o,bias:l,alpha:u,beta:p}=a,d=new Gte(r.shape,o,l,u,p);return n.runWebGLProgram(d,[r,s,i],r.dtype)},jte={kernelName:hm,backendName:"webgl",kernelFunc:Hte};function qte(e,t,n,a){let r=v.sizeFromShape(t),s=v.sizeFromShape(e.shape)/r,i=de({inputs:{x:e},attrs:{shape:[s,r]},backend:a}),o=ko(i,e.dtype,"max",a),l=de({inputs:{x:o},attrs:{shape:n},backend:a});return a.disposeIntermediateTensorInfo(i),a.disposeIntermediateTensorInfo(o),l}function uE(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{reductionIndices:s,keepDims:i}=a,o=r.shape.length,l=v.parseAxisParam(s,r.shape),u=l,p=N.getAxesPermutation(u,o),d=p!=null,c=n.shouldExecuteOnCPU([r]),h=r;if(d){if(c){let y=n.texData.get(h.dataId).values,x=new Array(o);for(let T=0;T`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${u}'`);let p=N.computePool2DInfo(r.shape,s,i,u,o,l);if(p.filterWidth===1&&p.filterHeight===1&&v.arraysEqual(p.inShape,p.outShape))return ta({inputs:{x:r},backend:n});let d=new Qp(p,"max",!1);return n.runWebGLProgram(d,[r],r.dtype)}var zte={kernelName:Li,backendName:"webgl",kernelFunc:Lte};function Bte(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dataFormat:l,dimRoundingMode:u}=a,p=[1,1,1],d=N.computePool3DInfo(r.shape,s,i,p,o,u,l),c=new Y0(d,"max",!1);return n.runWebGLProgram(c,[r],r.dtype)}var Wte={kernelName:pc,backendName:"webgl",kernelFunc:Bte},Vte=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideHeight,n=e.strideWidth,a=e.dilationHeight,r=e.effectiveFilterHeight,s=e.effectiveFilterWidth,i=r-1-e.padInfo.top,o=s-1-e.padInfo.left,l=r*s-1;this.userCode=` +`,Zte=pn({opSnippet:Xte,packedOpSnippet:Yte,cpuKernelImpl:i7}),Jte={kernelName:Oi,backendName:"webgl",kernelFunc:Zte};function Qte(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t;Lu(r,"maxPool");let{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=a,u=1;v.assert(N.eitherStridesOrDilationsAreOne(i,u),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${u}'`);let p=N.computePool2DInfo(r.shape,s,i,u,o,l);if(p.filterWidth===1&&p.filterHeight===1&&v.arraysEqual(p.inShape,p.outShape))return na({inputs:{x:r},backend:n});let d=new tc(p,"max",!1);return n.runWebGLProgram(d,[r],r.dtype)}var ene={kernelName:Li,backendName:"webgl",kernelFunc:Qte};function tne(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dataFormat:l,dimRoundingMode:u}=a,p=[1,1,1],d=N.computePool3DInfo(r.shape,s,i,p,o,u,l),c=new e1(d,"max",!1);return n.runWebGLProgram(c,[r],r.dtype)}var nne={kernelName:dc,backendName:"webgl",kernelFunc:tne},ane=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideHeight,n=e.strideWidth,a=e.dilationHeight,r=e.effectiveFilterHeight,s=e.effectiveFilterWidth,i=r-1-e.padInfo.top,o=s-1-e.padInfo.left,l=r*s-1;this.userCode=` const ivec2 pads = ivec2(${i}, ${o}); void main() { @@ -3742,7 +3736,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam } setOutput(dotProd); } - `}},Ute=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideDepth,n=e.strideHeight,a=e.strideWidth,r=e.dilationDepth,s=e.dilationHeight,i=e.dilationWidth,o=e.effectiveFilterDepth,l=e.effectiveFilterHeight,u=e.effectiveFilterWidth,p=o-1-e.padInfo.front,d=l-1-e.padInfo.top,c=u-1-e.padInfo.left,h=o*l*u-1;this.userCode=` + `}},rne=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideDepth,n=e.strideHeight,a=e.strideWidth,r=e.dilationDepth,s=e.dilationHeight,i=e.dilationWidth,o=e.effectiveFilterDepth,l=e.effectiveFilterHeight,u=e.effectiveFilterWidth,p=o-1-e.padInfo.front,d=l-1-e.padInfo.top,c=u-1-e.padInfo.left,h=o*l*u-1;this.userCode=` const ivec3 pads = ivec3(${p}, ${d}, ${c}); void main() { @@ -3806,16 +3800,16 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam } setOutput(dotProd); } - `}};function Gte(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,i=s,{filterSize:o,strides:l,pad:u,dimRoundingMode:p}=a,d=[1,1,1],c=N.computePool3DInfo(i.shape,o,l,d,u,p),h=new Y0(c,"max",!0),m=n.runWebGLProgram(h,[i],i.dtype),f=new Ute(c),g=n.runWebGLProgram(f,[r,m],i.dtype);return n.disposeIntermediateTensorInfo(m),g}var Hte={kernelName:mm,backendName:"webgl",kernelFunc:Gte};function jte(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s,output:i}=t,o=s;Pu([s,i],"maxPoolGrad");let{filterSize:l,strides:u,pad:p,dimRoundingMode:d}=a,c=N.computePool2DInfo(o.shape,l,u,1,p,d),h=!0,m=new Qp(c,"max",h),f=n.runWebGLProgram(m,[o],o.dtype),g=new Vte(c),b=n.runWebGLProgram(g,[r,f],o.dtype);return n.disposeIntermediateTensorInfo(f),b}var qte={kernelName:hm,backendName:"webgl",kernelFunc:jte};function Kte(e,t,n,a){let r=new Qp(n,"max",!1),s=a.runWebGLProgram(r,[e],"float32");r=new Qp(n,"max",!0,!0,t);let i=a.runWebGLProgram(r,[e],"float32");return[s,i]}var Xte={kernelName:fm,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:a}=e,{filterSize:r,strides:s,pad:i,includeBatchInIndex:o}=t,l=n;v.assert(a.shape.length===4,()=>`Error in maxPool: input must be rank 4 but got rank ${a.shape.length}.`);let u=[1,1];v.assert(N.eitherStridesOrDilationsAreOne(s,u),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${u}'`);let p=N.computePool2DInfo(a.shape,r,s,u,i),[d,c]=Kte(a,o,p,l);return[d,c]}};function Yte(e,t,n,a){let r=v.sizeFromShape(t),s=v.sizeFromShape(e.shape)/r,i=de({inputs:{x:e},attrs:{shape:[s,r]},backend:a}),o=wo(i,"float32","mean",a),l=de({inputs:{x:o},attrs:{shape:n},backend:a});return a.disposeIntermediateTensorInfo(i),a.disposeIntermediateTensorInfo(o),l}var Zte={kernelName:zi,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:a}=e,{keepDims:r,axis:s}=t,i=n,o=a.shape.length,l=v.parseAxisParam(s,a.shape),u=l,p=N.getAxesPermutation(u,o),d=p!=null,c=i.shouldExecuteOnCPU([a]),h=[],m=a;if(d){if(c){let x=i.texData.get(m.dataId).values,w=new Array(o);for(let C=0;C{let{x:a}=e,{filterSize:r,strides:s,pad:i,includeBatchInIndex:o}=t,l=n;v.assert(a.shape.length===4,()=>`Error in maxPool: input must be rank 4 but got rank ${a.shape.length}.`);let u=[1,1];v.assert(N.eitherStridesOrDilationsAreOne(s,u),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${u}'`);let p=N.computePool2DInfo(a.shape,r,s,u,i),[d,c]=une(a,o,p,l);return[d,c]}};function cne(e,t,n,a){let r=v.sizeFromShape(t),s=v.sizeFromShape(e.shape)/r,i=de({inputs:{x:e},attrs:{shape:[s,r]},backend:a}),o=ko(i,"float32","mean",a),l=de({inputs:{x:o},attrs:{shape:n},backend:a});return a.disposeIntermediateTensorInfo(i),a.disposeIntermediateTensorInfo(o),l}var dne={kernelName:zi,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:a}=e,{keepDims:r,axis:s}=t,i=n,o=a.shape.length,l=v.parseAxisParam(s,a.shape),u=l,p=N.getAxesPermutation(u,o),d=p!=null,c=i.shouldExecuteOnCPU([a]),h=[],m=a;if(d){if(c){let x=i.texData.get(m.dataId).values,w=new Array(o);for(let C=0;Cu[0]+e[p]+u[1]);let a=e.length,r=gt(a),s=t.map(u=>u[0]).join(","),i=t.map((u,p)=>u[0]+e[p]).join(","),o=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,a),l=n==="reflect"?0:1;if(a===1){this.userCode=` +`,bne=pn({opSnippet:fne,packedOpSnippet:gne,cpuKernelImpl:o7}),yne={kernelName:Bi,backendName:"webgl",kernelFunc:bne},xne=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=t.map((u,p)=>u[0]+e[p]+u[1]);let a=e.length,r=gt(a),s=t.map(u=>u[0]).join(","),i=t.map((u,p)=>u[0]+e[p]).join(","),o=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,a),l=n==="reflect"?0:1;if(a===1){this.userCode=` int start = ${s}; int end = ${i}; @@ -3844,7 +3838,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam ${r} coords = outC - start; setOutput(getX(${o})); } - `}},sne=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((h,m)=>h[0]+e[m]+h[1]);let a=e.length,r=gt(a),s=t.map(h=>h[0]).join(","),i=t.map((h,m)=>h[0]+e[m]).join(","),o=wn("rc",a),l=wn("source",a),u=`${o[a-1]} < ${this.outputShape[a-1]}`,p=a===1?"source":`vec2(${l.slice(-2).join()})`,d=n==="reflect"?0:1,c="";if(a===1){let h=` + `}},vne=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((h,m)=>h[0]+e[m]+h[1]);let a=e.length,r=gt(a),s=t.map(h=>h[0]).join(","),i=t.map((h,m)=>h[0]+e[m]).join(","),o=wn("rc",a),l=wn("source",a),u=`${o[a-1]} < ${this.outputShape[a-1]}`,p=a===1?"source":`vec2(${l.slice(-2).join()})`,d=n==="reflect"?0:1,c="";if(a===1){let h=` ${r} source = rc; if (source < start) { source = start * 2 - source - ${d}; @@ -3900,13 +3894,13 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam ${c} setOutput(result); } - `}},ine=({inputs:e,backend:t,attrs:n})=>{let{x:a}=e,{paddings:r,mode:s}=n,i=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new sne(a.shape,r,s):new rne(a.shape,r,s);return t.runWebGLProgram(i,[a],a.dtype)},one={kernelName:Vi,backendName:"webgl",kernelFunc:ine},lne=`if (b == 0.0) return NAN; - return mod(a, b);`,une=` + `}},wne=({inputs:e,backend:t,attrs:n})=>{let{x:a}=e,{paddings:r,mode:s}=n,i=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new vne(a.shape,r,s):new xne(a.shape,r,s);return t.runWebGLProgram(i,[a],a.dtype)},kne={kernelName:Vi,backendName:"webgl",kernelFunc:wne},Ine=`if (b == 0.0) return NAN; + return mod(a, b);`,Sne=` vec4 result = mod(a, b); bvec4 isNaN = equal(b, vec4(0.0)); - `+td+` + `+nd+` return result; -`,pne=un({opSnippet:lne,packedOpSnippet:une}),cne={kernelName:Zl,backendName:"webgl",kernelFunc:pne},dne=class{constructor(e,t,n){this.variableNames=["probs"],this.customUniforms=[{name:"seed",type:"float"}],this.outputShape=[e,n],this.userCode=` +`,Tne=pn({opSnippet:Ine,packedOpSnippet:Sne}),Nne={kernelName:Ql,backendName:"webgl",kernelFunc:Tne},Cne=class{constructor(e,t,n){this.variableNames=["probs"],this.customUniforms=[{name:"seed",type:"float"}],this.outputShape=[e,n],this.userCode=` void main() { ivec2 coords = getOutputCoords(); int batch = coords[0]; @@ -3926,11 +3920,11 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jJ=Ye({opSnippet:HJ}),qJ={kernelNam // If no other event happened, last event happened. setOutput(float(${t-1})); } - `}},hne=` + `}},_ne=` if (a == b) { return 1.0; }; -return a / b;`,mne=` +return a / b;`,Ene=` // vec4 one = vec4(equal(a, b)); // return one + (vec4(1.0) - one) * a / b; vec4 result = a / b; @@ -3948,9 +3942,9 @@ return a / b;`,mne=` } return result; -`,nE=un({opSnippet:hne,packedOpSnippet:mne,checkOutOfBounds:!0}),fne={kernelName:Ni,backendName:"webgl",kernelFunc:nE},rI="return a - b;",aE=un({opSnippet:rI,packedOpSnippet:rI,supportsComplex:!0,cpuKernelImpl:dZ}),gne={kernelName:lo,backendName:"webgl",kernelFunc:aE};function rE(e){let{inputs:t,backend:n,attrs:a}=e,{logits:r}=t,{dim:s}=a,i=v.parseAxisParam([s],r.shape),o=tE({inputs:{x:r},backend:n,attrs:{reductionIndices:i,keepDims:!1}}),l=N.expandShapeToKeepDim(o.shape,i),u=de({inputs:{x:o},backend:n,attrs:{shape:l}}),p=aE({inputs:{a:r,b:u},backend:n}),d=J_({inputs:{x:p},backend:n}),c=Rf({inputs:{x:d},backend:n,attrs:{axis:i,keepDims:!1}}),h=de({inputs:{x:c},backend:n,attrs:{shape:l}}),m=nE({inputs:{a:d,b:h},backend:n});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(h),m}var bne={kernelName:io,backendName:"webgl",kernelFunc:rE};function yne(e){let{inputs:t,backend:n,attrs:a}=e,{logits:r}=t,{numSamples:s,seed:i,normalized:o}=a,l=o?r:rE({inputs:{logits:r},backend:n,attrs:{dim:r.shape.length-1}}),u=l.shape[0],p=l.shape[1],d=new dne(u,p,s),c=[[i]],h=n.runWebGLProgram(d,[l],"int32",c);return o||n.disposeIntermediateTensorInfo(l),h}var xne={kernelName:gm,backendName:"webgl",kernelFunc:yne},vne=Fa+` +`,pE=pn({opSnippet:_ne,packedOpSnippet:Ene,checkOutOfBounds:!0}),Ane={kernelName:Ni,backendName:"webgl",kernelFunc:pE},cI="return a - b;",cE=pn({opSnippet:cI,packedOpSnippet:cI,supportsComplex:!0,cpuKernelImpl:C7}),$ne={kernelName:lo,backendName:"webgl",kernelFunc:cE};function dE(e){let{inputs:t,backend:n,attrs:a}=e,{logits:r}=t,{dim:s}=a,i=v.parseAxisParam([s],r.shape),o=uE({inputs:{x:r},backend:n,attrs:{reductionIndices:i,keepDims:!1}}),l=N.expandShapeToKeepDim(o.shape,i),u=de({inputs:{x:o},backend:n,attrs:{shape:l}}),p=cE({inputs:{a:r,b:u},backend:n}),d=iE({inputs:{x:p},backend:n}),c=Pf({inputs:{x:d},backend:n,attrs:{axis:i,keepDims:!1}}),h=de({inputs:{x:c},backend:n,attrs:{shape:l}}),m=pE({inputs:{a:d,b:h},backend:n});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(h),m}var Fne={kernelName:io,backendName:"webgl",kernelFunc:dE};function Dne(e){let{inputs:t,backend:n,attrs:a}=e,{logits:r}=t,{numSamples:s,seed:i,normalized:o}=a,l=o?r:dE({inputs:{logits:r},backend:n,attrs:{dim:r.shape.length-1}}),u=l.shape[0],p=l.shape[1],d=new Cne(u,p,s),c=[[i]],h=n.runWebGLProgram(d,[l],"int32",c);return o||n.disposeIntermediateTensorInfo(l),h}var Rne={kernelName:bm,backendName:"webgl",kernelFunc:Dne},Mne=Da+` return -x; -`,wne=` +`,Pne=` vec4 result = -x; bvec4 isNaN = isnan(x); @@ -3960,14 +3954,14 @@ return a / b;`,mne=` result.a = isNaN.a ? x.a : result.a; return result; -`;function kne(e){let{inputs:t,backend:n}=e,{x:a}=t;if(n.shouldExecuteOnCPU([a])){let s=n.texData.get(a.dataId),[i,o]=X7(s.values,a.shape,a.dtype);return n.makeTensorInfo(o,a.dtype,i)}let r;return H().getBool("WEBGL_PACK_UNARY_OPERATIONS")?r=new js(a.shape,wne):r=new Sr(a.shape,vne),n.runWebGLProgram(r,[a],a.dtype)}var Ine={kernelName:Jl,backendName:"webgl",kernelFunc:kne},Sne=pr.nonMaxSuppressionV3Impl;function Tne(e){N.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:a}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l}=a,u=n.readSync(r.dataId),p=n.readSync(s.dataId),{selectedIndices:d}=Sne(u,p,i,o,l);return n.makeTensorInfo([d.length],"int32",new Int32Array(d))}var Nne={kernelName:eu,backendName:"webgl",kernelFunc:Tne},Cne=pr.nonMaxSuppressionV4Impl;function _ne(e){N.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:a}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,padToMaxOutputSize:u}=a,p=n.readSync(r.dataId),d=n.readSync(s.dataId),{selectedIndices:c,validOutputs:h}=Cne(p,d,i,o,l,u);return[n.makeTensorInfo([c.length],"int32",new Int32Array(c)),n.makeTensorInfo([],"int32",new Int32Array([h]))]}var Ene={kernelName:tu,backendName:"webgl",kernelFunc:_ne},Ane=pr.nonMaxSuppressionV5Impl;function $ne(e){N.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:a}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,softNmsSigma:u}=a,p=n.readSync(r.dataId),d=n.readSync(s.dataId),c=i,h=o,m=l,f=u,{selectedIndices:g,selectedScores:b}=Ane(p,d,c,h,m,f);return[n.makeTensorInfo([g.length],"int32",new Int32Array(g)),n.makeTensorInfo([b.length],"float32",new Float32Array(b))]}var Fne={kernelName:nu,backendName:"webgl",kernelFunc:$ne},Dne=class{constructor(e,t,n,a){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode=` +`;function One(e){let{inputs:t,backend:n}=e,{x:a}=t;if(n.shouldExecuteOnCPU([a])){let s=n.texData.get(a.dataId),[i,o]=u7(s.values,a.shape,a.dtype);return n.makeTensorInfo(o,a.dtype,i)}let r;return H().getBool("WEBGL_PACK_UNARY_OPERATIONS")?r=new js(a.shape,Pne):r=new Sr(a.shape,Mne),n.runWebGLProgram(r,[a],a.dtype)}var Lne={kernelName:eu,backendName:"webgl",kernelFunc:One},zne=cr.nonMaxSuppressionV3Impl;function Wne(e){N.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:a}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l}=a,u=n.readSync(r.dataId),p=n.readSync(s.dataId),{selectedIndices:d}=zne(u,p,i,o,l);return n.makeTensorInfo([d.length],"int32",new Int32Array(d))}var Bne={kernelName:nu,backendName:"webgl",kernelFunc:Wne},Vne=cr.nonMaxSuppressionV4Impl;function Une(e){N.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:a}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,padToMaxOutputSize:u}=a,p=n.readSync(r.dataId),d=n.readSync(s.dataId),{selectedIndices:c,validOutputs:h}=Vne(p,d,i,o,l,u);return[n.makeTensorInfo([c.length],"int32",new Int32Array(c)),n.makeTensorInfo([],"int32",new Int32Array([h]))]}var Gne={kernelName:au,backendName:"webgl",kernelFunc:Une},Hne=cr.nonMaxSuppressionV5Impl;function jne(e){N.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:a}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,softNmsSigma:u}=a,p=n.readSync(r.dataId),d=n.readSync(s.dataId),c=i,h=o,m=l,f=u,{selectedIndices:g,selectedScores:b}=Hne(p,d,c,h,m,f);return[n.makeTensorInfo([g.length],"int32",new Int32Array(g)),n.makeTensorInfo([b.length],"float32",new Float32Array(b))]}var qne={kernelName:ru,backendName:"webgl",kernelFunc:jne},Kne=class{constructor(e,t,n,a){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode=` void main() { ivec2 coords = getOutputCoords(); int index = round(getIndices(coords.x)); setOutput(mix(float(${a}), float(${n}), float(index == coords.y))); } - `}},Rne=e=>{let{inputs:t,backend:n,attrs:a}=e,{indices:r}=t,{dtype:s,depth:i,onValue:o,offValue:l}=a,u=v.sizeFromShape(r.shape),p=new Dne(u,i,o,l),d=de({inputs:{x:r},backend:n,attrs:{shape:[u]}}),c=n.runWebGLProgram(p,[d],s);n.disposeIntermediateTensorInfo(d);let h=[...r.shape,i],m=de({inputs:{x:c},backend:n,attrs:{shape:h}});return n.disposeIntermediateTensorInfo(c),m},Mne={kernelName:Gi,backendName:"webgl",kernelFunc:Rne};function Vh(e){let{inputs:t,backend:n}=e,{x:a}=t;if(a.dtype==="complex64"){let r=ad({inputs:{input:a},backend:n}),s=Vh({inputs:{x:r},backend:n}),i=Mf({inputs:{input:a},backend:n}),o=Vh({inputs:{x:i},backend:n}),l=Is({inputs:{real:s,imag:o},backend:n});return n.disposeIntermediateTensorInfo(r),n.disposeIntermediateTensorInfo(s),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),l}else return rd({attrs:{shape:a.shape,dtype:a.dtype,value:a.dtype==="string"?"":0},backend:n})}var Pne={kernelName:wu,backendName:"webgl",kernelFunc:Vh};function sE(e){let{inputs:t,backend:n}=e,{x:a}=t;if(a.dtype==="string")throw new Error("onesLike is not supported under string dtype");if(a.dtype==="complex64"){let r=ad({inputs:{input:a},backend:n}),s=sE({inputs:{x:r},backend:n}),i=Mf({inputs:{input:a},backend:n}),o=Vh({inputs:{x:i},backend:n}),l=Is({inputs:{real:s,imag:o},backend:n});return n.disposeIntermediateTensorInfo(r),n.disposeIntermediateTensorInfo(s),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),l}else return rd({attrs:{shape:a.shape,dtype:a.dtype,value:1},backend:n})}var One={kernelName:au,backendName:"webgl",kernelFunc:sE};function Lne(e){let{inputs:t,backend:n,attrs:a}=e,{axis:r}=a;if(t.length===1)return px({inputs:{input:t[0]},backend:n,attrs:{dim:r}});let s=t[0].shape,i=t[0].dtype;t.forEach(p=>{v.assertShapesMatch(s,p.shape,"All tensors passed to stack must have matching shapes"),v.assert(i===p.dtype,()=>"All tensors passed to stack must have matching dtypes")});let o=[],l=t.map(p=>{let d=px({inputs:{input:p},backend:n,attrs:{dim:r}});return o.push(d),d}),u=G_({inputs:l,backend:n,attrs:{axis:r}});return o.forEach(p=>n.disposeIntermediateTensorInfo(p)),u}var zne={kernelName:ru,backendName:"webgl",kernelFunc:Lne},Bne=class{constructor(e,t,n){this.variableNames=["x"],this.customUniforms=[{name:"value",type:"float"}],this.outputShape=t.map((l,u)=>l[0]+e[u]+l[1]);let a=e.length,r=gt(a),s=t.map(l=>l[0]).join(","),i=t.map((l,u)=>l[0]+e[u]).join(","),o=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,a);if(a===1){this.userCode=` + `}},Xne=e=>{let{inputs:t,backend:n,attrs:a}=e,{indices:r}=t,{dtype:s,depth:i,onValue:o,offValue:l}=a,u=v.sizeFromShape(r.shape),p=new Kne(u,i,o,l),d=de({inputs:{x:r},backend:n,attrs:{shape:[u]}}),c=n.runWebGLProgram(p,[d],s);n.disposeIntermediateTensorInfo(d);let h=[...r.shape,i],m=de({inputs:{x:c},backend:n,attrs:{shape:h}});return n.disposeIntermediateTensorInfo(c),m},Yne={kernelName:Gi,backendName:"webgl",kernelFunc:Xne};function Uh(e){let{inputs:t,backend:n}=e,{x:a}=t;if(a.dtype==="complex64"){let r=rd({inputs:{input:a},backend:n}),s=Uh({inputs:{x:r},backend:n}),i=Of({inputs:{input:a},backend:n}),o=Uh({inputs:{x:i},backend:n}),l=Is({inputs:{real:s,imag:o},backend:n});return n.disposeIntermediateTensorInfo(r),n.disposeIntermediateTensorInfo(s),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),l}else return sd({attrs:{shape:a.shape,dtype:a.dtype,value:a.dtype==="string"?"":0},backend:n})}var Zne={kernelName:Iu,backendName:"webgl",kernelFunc:Uh};function hE(e){let{inputs:t,backend:n}=e,{x:a}=t;if(a.dtype==="string")throw new Error("onesLike is not supported under string dtype");if(a.dtype==="complex64"){let r=rd({inputs:{input:a},backend:n}),s=hE({inputs:{x:r},backend:n}),i=Of({inputs:{input:a},backend:n}),o=Uh({inputs:{x:i},backend:n}),l=Is({inputs:{real:s,imag:o},backend:n});return n.disposeIntermediateTensorInfo(r),n.disposeIntermediateTensorInfo(s),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),l}else return sd({attrs:{shape:a.shape,dtype:a.dtype,value:1},backend:n})}var Jne={kernelName:su,backendName:"webgl",kernelFunc:hE};function Qne(e){let{inputs:t,backend:n,attrs:a}=e,{axis:r}=a;if(t.length===1)return dx({inputs:{input:t[0]},backend:n,attrs:{dim:r}});let s=t[0].shape,i=t[0].dtype;t.forEach(p=>{v.assertShapesMatch(s,p.shape,"All tensors passed to stack must have matching shapes"),v.assert(i===p.dtype,()=>"All tensors passed to stack must have matching dtypes")});let o=[],l=t.map(p=>{let d=dx({inputs:{input:p},backend:n,attrs:{dim:r}});return o.push(d),d}),u=J_({inputs:l,backend:n,attrs:{axis:r}});return o.forEach(p=>n.disposeIntermediateTensorInfo(p)),u}var eae={kernelName:iu,backendName:"webgl",kernelFunc:Qne},tae=class{constructor(e,t,n){this.variableNames=["x"],this.customUniforms=[{name:"value",type:"float"}],this.outputShape=t.map((l,u)=>l[0]+e[u]+l[1]);let a=e.length,r=gt(a),s=t.map(l=>l[0]).join(","),i=t.map((l,u)=>l[0]+e[u]).join(","),o=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,a);if(a===1){this.userCode=` int start = ${s}; int end = ${i}; @@ -3992,7 +3986,7 @@ return a / b;`,mne=` setOutput(getX(${o})); } } - `}},Wne=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"value",type:"float"}],this.outputShape=t.map((m,f)=>m[0]+e[f]+m[1]);let a=e.length,r=gt(a),s=t.map(m=>m[0]).join(","),i=t.map((m,f)=>m[0]+e[f]).join(","),o=wn("rc",a),l=wn("source",a),u=`${o[a-1]} < ${this.outputShape[a-1]}`,p=a===1?"source":`vec2(${l.slice(-2).join()})`,d=[`${r} rc = outputLoc;`,`${o[a-1]} += 1; + `}},nae=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"value",type:"float"}],this.outputShape=t.map((m,f)=>m[0]+e[f]+m[1]);let a=e.length,r=gt(a),s=t.map(m=>m[0]).join(","),i=t.map((m,f)=>m[0]+e[f]).join(","),o=wn("rc",a),l=wn("source",a),u=`${o[a-1]} < ${this.outputShape[a-1]}`,p=a===1?"source":`vec2(${l.slice(-2).join()})`,d=[`${r} rc = outputLoc;`,`${o[a-1]} += 1; if(${u}) { `,a===1?"":`} rc = outputLoc; @@ -4016,7 +4010,7 @@ return a / b;`,mne=` ${h} setOutput(result); } - `}},iE=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{paddings:s,constantValue:i}=a;if(v.sizeFromShape(r.shape)===0){let u=s.map((p,d)=>p[0]+r.shape[d]+p[1]);return rd({backend:n,attrs:{shape:u,value:i,dtype:r.dtype}})}let o=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Wne(r.shape,s,i):new Bne(r.shape,s,i),l=[[i]];return n.runWebGLProgram(o,[r],r.dtype,l)},Vne={kernelName:Hi,backendName:"webgl",kernelFunc:iE},Une=` + `}},mE=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{paddings:s,constantValue:i}=a;if(v.sizeFromShape(r.shape)===0){let u=s.map((p,d)=>p[0]+r.shape[d]+p[1]);return sd({backend:n,attrs:{shape:u,value:i,dtype:r.dtype}})}let o=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new nae(r.shape,s,i):new tae(r.shape,s,i),l=[[i]];return n.runWebGLProgram(o,[r],r.dtype,l)},aae={kernelName:Hi,backendName:"webgl",kernelFunc:mE},rae=` if(a < 0.0 && floor(b) < b){ return NAN; } @@ -4025,7 +4019,7 @@ return a / b;`,mne=` } return (round(mod(b, 2.0)) != 1) ? pow(abs(a), b) : sign(a) * pow(abs(a), b); -`,Gne=` +`,sae=` // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise. vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1))); vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1); @@ -4041,11 +4035,11 @@ return a / b;`,mne=` bvec4 isNaN1 = lessThan(a, vec4(0.0)); bvec4 isNaN2 = lessThan(floor(b), b); bvec4 isNaN = bvec4(isNaN1.x && isNaN2.x, isNaN1.y && isNaN2.y, isNaN1.z && isNaN2.z, isNaN1.w && isNaN2.w); - `+td+` + `+nd+` return result; -`,Hne=un({opSnippet:Une,packedOpSnippet:Gne}),jne={kernelName:ji,backendName:"webgl",kernelFunc:Hne};function qne(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=[],u=v.parseAxisParam(s,r.shape),p=u,d=N.getAxesPermutation(p,o),c=r;d!=null&&(c=kn({inputs:{x:r},backend:n,attrs:{perm:d}}),p=N.getInnerMostAxes(p.length,o),l.push(c)),N.assertAxesAreInnerMostDims("prod",p,o);let h;if(n.shouldExecuteOnCPU([c])){let m=n.texData.get(c.dataId).values,{outVals:f,outShape:g,outDtype:b}=Z7(c.shape,c.dtype,m,p);h=n.makeTensorInfo(g,b,f)}else{let[m,f]=N.computeOutAndReduceShapes(c.shape,p),g=v.sizeFromShape(f),b=de({inputs:{x:c},backend:n,attrs:{shape:[-1,g]}}),y=Nm(r.dtype),x=wo(b,y,"prod",n);h=de({inputs:{x},backend:n,attrs:{shape:m}}),l.push(b),l.push(x)}if(i){l.push(h);let m=N.expandShapeToKeepDim(h.shape,u);h=de({inputs:{x:h},backend:n,attrs:{shape:m}})}return l.forEach(m=>n.disposeIntermediateTensorInfo(m)),h}var Kne={kernelName:Ki,backendName:"webgl",kernelFunc:qne};function Xne(e){let{inputs:t,backend:n,attrs:a}=e,{paramsNestedSplits:r,paramsDenseValues:s,indices:i}=t,{outputRaggedRank:o}=a,l=r.map(b=>n.readSync(b.dataId)),u=r.map(b=>b.shape),p=n.readSync(s.dataId),d=n.readSync(i.dataId),[c,h,m]=J7(l,u,p,s.shape,s.dtype,d,i.shape,o),f=c.map(b=>n.makeTensorInfo([b.length],"int32",b)),g=n.makeTensorInfo(m,s.dtype,h);return f.concat([g])}var Yne={kernelName:bm,backendName:"webgl",kernelFunc:Xne};function Zne(e){let{inputs:t,backend:n,attrs:a}=e,{shape:r,values:s,defaultValue:i,rowPartitionTensors:o}=t,{rowPartitionTypes:l}=a,u=n.readSync(r.dataId),p=n.readSync(s.dataId),d=n.readSync(i.dataId),c=o.map(g=>n.readSync(g.dataId)),h=o.map(g=>g.shape),[m,f]=Q7(u,r.shape,p,s.shape,s.dtype,d,i.shape,c,h,l);return n.makeTensorInfo(m,s.dtype,f)}var Jne={kernelName:ym,backendName:"webgl",kernelFunc:Zne},oE=e=>{let{backend:t,attrs:n}=e,{start:a,stop:r,step:s,dtype:i}=n,o=eZ(a,r,s,i);return t.makeTensorInfo([o.length],i,o)},Qne={kernelName:cc,backendName:"webgl",kernelFunc:oE},eae="return 1.0 / x;",tae=Ye({opSnippet:eae}),nae={kernelName:su,backendName:"webgl",kernelFunc:tae},aae=Fa+` +`,iae=pn({opSnippet:rae,packedOpSnippet:sae}),oae={kernelName:ji,backendName:"webgl",kernelFunc:iae};function lae(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=[],u=v.parseAxisParam(s,r.shape),p=u,d=N.getAxesPermutation(p,o),c=r;d!=null&&(c=In({inputs:{x:r},backend:n,attrs:{perm:d}}),p=N.getInnerMostAxes(p.length,o),l.push(c)),N.assertAxesAreInnerMostDims("prod",p,o);let h;if(n.shouldExecuteOnCPU([c])){let m=n.texData.get(c.dataId).values,{outVals:f,outShape:g,outDtype:b}=c7(c.shape,c.dtype,m,p);h=n.makeTensorInfo(g,b,f)}else{let[m,f]=N.computeOutAndReduceShapes(c.shape,p),g=v.sizeFromShape(f),b=de({inputs:{x:c},backend:n,attrs:{shape:[-1,g]}}),y=_m(r.dtype),x=ko(b,y,"prod",n);h=de({inputs:{x},backend:n,attrs:{shape:m}}),l.push(b),l.push(x)}if(i){l.push(h);let m=N.expandShapeToKeepDim(h.shape,u);h=de({inputs:{x:h},backend:n,attrs:{shape:m}})}return l.forEach(m=>n.disposeIntermediateTensorInfo(m)),h}var uae={kernelName:Ki,backendName:"webgl",kernelFunc:lae};function pae(e){let{inputs:t,backend:n,attrs:a}=e,{paramsNestedSplits:r,paramsDenseValues:s,indices:i}=t,{outputRaggedRank:o}=a,l=r.map(b=>n.readSync(b.dataId)),u=r.map(b=>b.shape),p=n.readSync(s.dataId),d=n.readSync(i.dataId),[c,h,m]=d7(l,u,p,s.shape,s.dtype,d,i.shape,o),f=c.map(b=>n.makeTensorInfo([b.length],"int32",b)),g=n.makeTensorInfo(m,s.dtype,h);return f.concat([g])}var cae={kernelName:ym,backendName:"webgl",kernelFunc:pae};function dae(e){let{inputs:t,backend:n}=e,{starts:a,limits:r,deltas:s}=t,i=n.readSync(a.dataId),o=n.readSync(r.dataId),l=n.readSync(s.dataId),[u,p]=h7(i,a.shape,a.dtype,o,r.shape,l,s.shape),d=n.makeTensorInfo([u.length],"int32",u),c=n.makeTensorInfo([p.length],a.dtype,p);return[d,c]}var hae={kernelName:xm,backendName:"webgl",kernelFunc:dae};function mae(e){let{inputs:t,backend:n,attrs:a}=e,{shape:r,values:s,defaultValue:i,rowPartitionTensors:o}=t,{rowPartitionTypes:l}=a,u=n.readSync(r.dataId),p=n.readSync(s.dataId),d=n.readSync(i.dataId),c=o.map(g=>n.readSync(g.dataId)),h=o.map(g=>g.shape),[m,f]=m7(u,r.shape,p,s.shape,s.dtype,d,i.shape,c,h,l);return n.makeTensorInfo(m,s.dtype,f)}var fae={kernelName:vm,backendName:"webgl",kernelFunc:mae},fE=e=>{let{backend:t,attrs:n}=e,{start:a,stop:r,step:s,dtype:i}=n,o=f7(a,r,s,i);return t.makeTensorInfo([o.length],i,o)},gae={kernelName:hc,backendName:"webgl",kernelFunc:fE},bae="return 1.0 / x;",yae=Ye({opSnippet:bae}),xae={kernelName:ou,backendName:"webgl",kernelFunc:yae},vae=Da+` return (x < 0.0) ? 0.0 : x; -`,rae=` +`,wae=` vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0))); bvec4 isNaN = isnan(x); @@ -4055,9 +4049,9 @@ return a / b;`,mne=` result.a = isNaN.a ? x.a : result.a; return result; -`,sae=Ye({opSnippet:aae,packedOpSnippet:rae}),iae={kernelName:Xi,backendName:"webgl",kernelFunc:sae},oae=Fa+` +`,kae=Ye({opSnippet:vae,packedOpSnippet:wae}),Iae={kernelName:Xi,backendName:"webgl",kernelFunc:kae},Sae=Da+` return (x < 0.0) ? 0.0 : min(6.0, x); -`,lae=` +`,Tae=` vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0))); bvec4 isNaN = isnan(x); @@ -4067,7 +4061,7 @@ return a / b;`,mne=` result.a = isNaN.a ? x.a : result.a; return result; -`,uae=Ye({opSnippet:oae,packedOpSnippet:lae}),pae={kernelName:Ji,backendName:"webgl",kernelFunc:uae},cae=class{constructor(e,t,n,a,r){this.variableNames=["A"],this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let u=[a&&t>1?i-1:i,a&&n>1?o-1:o],p=[a&&t>1?t-1:t,a&&n>1?n-1:n],d;r?d="(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":d="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` +`,Nae=Ye({opSnippet:Sae,packedOpSnippet:Tae}),Cae={kernelName:Ji,backendName:"webgl",kernelFunc:Nae},_ae=class{constructor(e,t,n,a,r){this.variableNames=["A"],this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let u=[a&&t>1?i-1:i,a&&n>1?o-1:o],p=[a&&t>1?t-1:t,a&&n>1?n-1:n],d;r?d="(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":d="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` const vec2 effectiveInputOverOutputRatioRC = vec2( ${u[0]/p[0]}, ${u[1]/p[1]}); @@ -4100,7 +4094,7 @@ return a / b;`,mne=` setOutput(newValue); } - `}},dae=class{constructor(e,t,n,a,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let u=[a&&t>1?i-1:i,a&&n>1?o-1:o],p=[a&&t>1?t-1:t,a&&n>1?n-1:n],d;r?d="(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":d="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` + `}},Eae=class{constructor(e,t,n,a,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let u=[a&&t>1?i-1:i,a&&n>1?o-1:o],p=[a&&t>1?t-1:t,a&&n>1?n-1:n],d;r?d="(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":d="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` const vec3 effectiveInputOverOutputRatioRC = vec3( ${u[0]/p[0]}, ${u[1]/p[1]}, @@ -4177,7 +4171,7 @@ return a / b;`,mne=` setOutput(newValue); } - `}};function hae(e){let{inputs:t,backend:n,attrs:a}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,u]=o,p=H().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new dae(r.shape,l,u,s,i):new cae(r.shape,l,u,s,i);return n.runWebGLProgram(p,[r],"float32")}var mae={kernelName:Zi,backendName:"webgl",kernelFunc:hae},fae=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,a,r]=t,[,s,i]=e,o=[n&&s>1?a-1:a,n&&i>1?r-1:r],l=[n&&s>1?s-1:s,n&&i>1?i-1:i],u=o[0]/l[0],p=o[1]/l[1],d=1/u,c=1/p,h=Math.ceil(d)*2+2,m=Math.ceil(c)*2+2;this.userCode=` + `}};function Aae(e){let{inputs:t,backend:n,attrs:a}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,u]=o,p=H().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new Eae(r.shape,l,u,s,i):new _ae(r.shape,l,u,s,i);return n.runWebGLProgram(p,[r],"float32")}var $ae={kernelName:Zi,backendName:"webgl",kernelFunc:Aae},Fae=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,a,r]=t,[,s,i]=e,o=[n&&s>1?a-1:a,n&&i>1?r-1:r],l=[n&&s>1?s-1:s,n&&i>1?i-1:i],u=o[0]/l[0],p=o[1]/l[1],d=1/u,c=1/p,h=Math.ceil(d)*2+2,m=Math.ceil(c)*2+2;this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; @@ -4258,7 +4252,7 @@ return a / b;`,mne=` setOutput(accumulator); } - `}};function gae(e){let{inputs:t,backend:n,attrs:a}=e,{images:r,dy:s}=t,{alignCorners:i}=a,o=new fae(s.shape,r.shape,i);return n.runWebGLProgram(o,[s],s.dtype)}var bae={kernelName:wm,backendName:"webgl",kernelFunc:gae},yae=class{constructor(e,t,n,a,r){this.variableNames=["A"],this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let u=[a&&t>1?i-1:i,a&&n>1?o-1:o],p=[a&&t>1?t-1:t,a&&n>1?n-1:n],d=a?"0.5":"0.0",c;r?c="max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":c="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` + `}};function Dae(e){let{inputs:t,backend:n,attrs:a}=e,{images:r,dy:s}=t,{alignCorners:i}=a,o=new Fae(s.shape,r.shape,i);return n.runWebGLProgram(o,[s],s.dtype)}var Rae={kernelName:Im,backendName:"webgl",kernelFunc:Dae},Mae=class{constructor(e,t,n,a,r){this.variableNames=["A"],this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let u=[a&&t>1?i-1:i,a&&n>1?o-1:o],p=[a&&t>1?t-1:t,a&&n>1?n-1:n],d=a?"0.5":"0.0",c;r?c="max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":c="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` const vec2 effectiveInputOverOutputRatioRC = vec2( ${u[0]/p[0]}, ${u[1]/p[1]}); @@ -4280,7 +4274,7 @@ return a / b;`,mne=` setOutput(newValue); } - `}},xae=class{constructor(e,t,n,a,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let u=[a&&t>1?i-1:i,a&&n>1?o-1:o],p=[a&&t>1?t-1:t,a&&n>1?n-1:n],d=a?"0.5":"0.0",c;r?c="max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))":c="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` + `}},Pae=class{constructor(e,t,n,a,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let u=[a&&t>1?i-1:i,a&&n>1?o-1:o],p=[a&&t>1?t-1:t,a&&n>1?n-1:n],d=a?"0.5":"0.0",c;r?c="max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))":c="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` const vec3 effectiveInputOverOutputRatioRC = vec3( ${u[0]/p[0]}, ${u[1]/p[1]}, @@ -4321,7 +4315,7 @@ return a / b;`,mne=` setOutput(newValue); } - `}};function vae(e){let{inputs:t,backend:n,attrs:a}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,u]=o,p=H().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new xae(r.shape,l,u,s,i):new yae(r.shape,l,u,s,i);return n.runWebGLProgram(p,[r],r.dtype)}var wae={kernelName:Yi,backendName:"webgl",kernelFunc:vae},kae=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,a,r]=t,[,s,i]=e,o=[n&&s>1?a-1:a,n&&i>1?r-1:r],l=[n&&s>1?s-1:s,n&&i>1?i-1:i],u=o[0]/l[0],p=o[1]/l[1],d=1/u,c=1/p,h=Math.ceil(d)*2+2,m=Math.ceil(c)*2+2;this.userCode=` + `}};function Oae(e){let{inputs:t,backend:n,attrs:a}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,u]=o,p=H().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new Pae(r.shape,l,u,s,i):new Mae(r.shape,l,u,s,i);return n.runWebGLProgram(p,[r],r.dtype)}var Lae={kernelName:Yi,backendName:"webgl",kernelFunc:Oae},zae=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,a,r]=t,[,s,i]=e,o=[n&&s>1?a-1:a,n&&i>1?r-1:r],l=[n&&s>1?s-1:s,n&&i>1?i-1:i],u=o[0]/l[0],p=o[1]/l[1],d=1/u,c=1/p,h=Math.ceil(d)*2+2,m=Math.ceil(c)*2+2;this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; @@ -4391,7 +4385,7 @@ return a / b;`,mne=` setOutput(accumulator); } - `}};function Iae(e){let{inputs:t,backend:n,attrs:a}=e,{images:r,dy:s}=t,{alignCorners:i}=a,o=new kae(s.shape,r.shape,i);return n.runWebGLProgram(o,[s],s.dtype)}var Sae={kernelName:vm,backendName:"webgl",kernelFunc:Iae},Tae=class{constructor(e,t){this.variableNames=["x"];let n=e.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);if(this.outputShape=e,n===1){this.userCode=` + `}};function Wae(e){let{inputs:t,backend:n,attrs:a}=e,{images:r,dy:s}=t,{alignCorners:i}=a,o=new zae(s.shape,r.shape,i);return n.runWebGLProgram(o,[s],s.dtype)}var Bae={kernelName:km,backendName:"webgl",kernelFunc:Wae},Vae=class{constructor(e,t){this.variableNames=["x"];let n=e.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);if(this.outputShape=e,n===1){this.userCode=` void main() { int coord = getOutputCoords(); setOutput(getX(${e[0]} - coord - 1)); @@ -4401,7 +4395,7 @@ return a / b;`,mne=` ${s} coords = getOutputCoords(); setOutput(getX(${r})); } - `}},Nae=class{constructor(e,t){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;let n=e.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);this.outputShape=e;let a=wn("rc",n),r=`${a[n-1]} + 1 < ${this.outputShape[n-1]}`,s=`${a[n-2]} + 1 < ${this.outputShape[n-2]}`,i=gt(n);n===1?this.userCode=` + `}},Uae=class{constructor(e,t){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;let n=e.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);this.outputShape=e;let a=wn("rc",n),r=`${a[n-1]} + 1 < ${this.outputShape[n-1]}`,s=`${a[n-2]} + 1 < ${this.outputShape[n-2]}`,i=gt(n);n===1?this.userCode=` void main(){ int rc = getOutputCoords(); vec4 result = vec4(0.); @@ -4429,7 +4423,7 @@ return a / b;`,mne=` } setOutput(result); } - `;function o(h){return d(h)}function l(h){return h[n-1]="("+h[n-1]+" + 1)",d(h)}function u(h){return h[n-2]="("+h[n-2]+" + 1)",d(h)}function p(h){return h[n-1]="("+h[n-1]+" + 1)",h[n-2]="("+h[n-2]+" + 1)",d(h)}function d(h){let m=e.map((b,y)=>c(y,h)),f=m.join(","),g=m.slice(-2).join(",");return`getChannel(getX(${f}), vec2(${g}))`}function c(h,m){return t.indexOf(h)!==-1&&e[h]!==1?`${e[h]} - ${m[h]} - 1`:`${m[h]}`}}};function Cae(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dims:s}=a,i=r.shape.length,o=v.parseAxisParam(s,r.shape);if(i===0)return ta({inputs:{x:r},backend:n});let l=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Nae(r.shape,o):new Tae(r.shape,o);return n.runWebGLProgram(l,[r],r.dtype)}var _ae={kernelName:Qi,backendName:"webgl",kernelFunc:Cae},Eae=class{constructor(e,t){this.variableNames=["Image"],this.outputShape=[],this.customUniforms=[{name:"params",type:"vec4"}];let n=e[1],a=e[2];this.outputShape=e;let r="";typeof t=="number"?r=`float outputValue = ${t.toFixed(2)};`:r=` + `;function o(h){return d(h)}function l(h){return h[n-1]="("+h[n-1]+" + 1)",d(h)}function u(h){return h[n-2]="("+h[n-2]+" + 1)",d(h)}function p(h){return h[n-1]="("+h[n-1]+" + 1)",h[n-2]="("+h[n-2]+" + 1)",d(h)}function d(h){let m=e.map((b,y)=>c(y,h)),f=m.join(","),g=m.slice(-2).join(",");return`getChannel(getX(${f}), vec2(${g}))`}function c(h,m){return t.indexOf(h)!==-1&&e[h]!==1?`${e[h]} - ${m[h]} - 1`:`${m[h]}`}}};function Gae(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dims:s}=a,i=r.shape.length,o=v.parseAxisParam(s,r.shape);if(i===0)return na({inputs:{x:r},backend:n});let l=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Uae(r.shape,o):new Vae(r.shape,o);return n.runWebGLProgram(l,[r],r.dtype)}var Hae={kernelName:Qi,backendName:"webgl",kernelFunc:Gae},jae=class{constructor(e,t){this.variableNames=["Image"],this.outputShape=[],this.customUniforms=[{name:"params",type:"vec4"}];let n=e[1],a=e[2];this.outputShape=e;let r="";typeof t=="number"?r=`float outputValue = ${t.toFixed(2)};`:r=` vec3 fill = vec3(${t.join(",")}); float outputValue = fill[coords[3]];`,this.userCode=` void main() { @@ -4448,7 +4442,7 @@ return a / b;`,mne=` } setOutput(outputValue); } - `}},Aae={kernelName:ku,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{image:a}=e,{radians:r,fillValue:s,center:i}=t,o=n,l=new Eae(a.shape,s),[u,p]=N.getImageCenter(i,a.shape[1],a.shape[2]),d=[[u,p,Math.sin(r),Math.cos(r)]];return o.runWebGLProgram(l,[a],a.dtype,d)}},$ae=` + `}},qae={kernelName:Su,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{image:a}=e,{radians:r,fillValue:s,center:i}=t,o=n,l=new jae(a.shape,s),[u,p]=N.getImageCenter(i,a.shape[1],a.shape[2]),d=[[u,p,Math.sin(r),Math.cos(r)]];return o.runWebGLProgram(l,[a],a.dtype,d)}},Kae=` // OpenGL ES does not support round function. // The algorithm is based on banker's rounding. float base = floor(x); @@ -4463,7 +4457,7 @@ return a / b;`,mne=` return base + 1.0; } } -`,Fae=Ye({opSnippet:$ae}),Dae={kernelName:eo,backendName:"webgl",kernelFunc:Fae},Rae="return inversesqrt(x);",Mae=Ye({opSnippet:Rae,cpuKernelImpl:tZ}),Pae={kernelName:to,backendName:"webgl",kernelFunc:Mae},lE=class{constructor(e,t,n,a,r,s,i=!0){this.variableNames=["updates","indices","defaultValue"],this.outputShape=s;let o=gt(r.length),l=gt(s.length),u="";n===1?u="i":n===2&&(u="i, j");let p=`getIndices(${u})`,d="";a===1?d="i":a===2&&(d="i, coords[1]");let c=`getUpdates(${d})`,h=t>1?"strides[j]":"strides";this.userCode=` +`,Xae=Ye({opSnippet:Kae}),Yae={kernelName:eo,backendName:"webgl",kernelFunc:Xae},Zae="return inversesqrt(x);",Jae=Ye({opSnippet:Zae,cpuKernelImpl:g7}),Qae={kernelName:to,backendName:"webgl",kernelFunc:Jae},gE=class{constructor(e,t,n,a,r,s,i=!0){this.variableNames=["updates","indices","defaultValue"],this.outputShape=s;let o=gt(r.length),l=gt(s.length),u="";n===1?u="i":n===2&&(u="i, j");let p=`getIndices(${u})`,d="";a===1?d="i":a===2&&(d="i, coords[1]");let c=`getUpdates(${d})`,h=t>1?"strides[j]":"strides";this.userCode=` ${o} strides = ${o}(${r}); void main() { @@ -4483,7 +4477,7 @@ return a / b;`,mne=` } setOutput(mix(getDefaultValue(), sum, float(found))); } - `}};function Oae(e){let{inputs:t,backend:n,attrs:a}=e,{indices:r,updates:s}=t,{shape:i}=a,{sliceRank:o,numUpdates:l,sliceSize:u,strides:p,outputSize:d}=N.calculateShapes(s,r,i),c=[d/u,u];if(d===0)return n.makeTensorInfo(i,r.dtype);let h=de({inputs:{x:r},backend:n,attrs:{shape:[l,o]}}),m=de({inputs:{x:s},backend:n,attrs:{shape:[l,u]}}),f=n.makeTensorInfo([],"float32",new Float32Array([0])),g=new lE(l,o,h.shape.length,m.shape.length,p,c),b=n.runWebGLProgram(g,[m,h,f],m.dtype),y=de({inputs:{x:b},backend:n,attrs:{shape:i}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(b),n.disposeIntermediateTensorInfo(f),y}var Lae={kernelName:ou,backendName:"webgl",kernelFunc:Oae},zae=class{constructor(e,t,n,a){this.variableNames=["sortedSequence","values"],this.customUniforms=[{name:"numInputs",type:"int"}],this.outputShape=[e,n];let r="while (left < right) {",s=`for (int i = 0; i < ${Math.ceil(Math.log2(t+1))}; ++i) { if (left >= right) break;`,i=H().getNumber("WEBGL_VERSION")===2?r:s,o=a==="left"?"<":"<=";this.userCode=` + `}};function ere(e){let{inputs:t,backend:n,attrs:a}=e,{indices:r,updates:s}=t,{shape:i}=a,{sliceRank:o,numUpdates:l,sliceSize:u,strides:p,outputSize:d}=N.calculateShapes(s,r,i),c=[d/u,u];if(d===0)return n.makeTensorInfo(i,r.dtype);let h=de({inputs:{x:r},backend:n,attrs:{shape:[l,o]}}),m=de({inputs:{x:s},backend:n,attrs:{shape:[l,u]}}),f=n.makeTensorInfo([],"float32",new Float32Array([0])),g=new gE(l,o,h.shape.length,m.shape.length,p,c),b=n.runWebGLProgram(g,[m,h,f],m.dtype),y=de({inputs:{x:b},backend:n,attrs:{shape:i}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(b),n.disposeIntermediateTensorInfo(f),y}var tre={kernelName:uu,backendName:"webgl",kernelFunc:ere},nre=class{constructor(e,t,n,a){this.variableNames=["sortedSequence","values"],this.customUniforms=[{name:"numInputs",type:"int"}],this.outputShape=[e,n];let r="while (left < right) {",s=`for (int i = 0; i < ${Math.ceil(Math.log2(t+1))}; ++i) { if (left >= right) break;`,i=H().getNumber("WEBGL_VERSION")===2?r:s,o=a==="left"?"<":"<=";this.userCode=` int findBound(int batch, float value) { int left = 0; int right = numInputs; @@ -4508,7 +4502,7 @@ return a / b;`,mne=` setOutput(float(findBound(batch, value))); } - `}};function Bae(e){let{inputs:t,backend:n,attrs:a}=e,{sortedSequence:r,values:s}=t,{side:i}=a,o=new zae(r.shape[0],r.shape[1],s.shape[1],i),l=[[r.shape[1]]];return n.runWebGLProgram(o,[r,s],"int32",l)}var Wae={kernelName:km,backendName:"webgl",kernelFunc:Bae},Vae=class{constructor(e,t,n){this.variableNames=["c","a","b"],this.outputShape=t;let a,r;if(n>4)throw Error(`Where for rank ${n} is not yet supported`);if(n===1)r="resRC",a="resRC";else{let i=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],l=[];for(let u=0;u4)throw Error(`Where for rank ${n} is not yet supported`);if(n===1)r="resRC",a="resRC";else{let i=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],l=[];for(let u=0;u= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0); -`,jae=Ye({opSnippet:Hae}),qae={kernelName:uu,backendName:"webgl",kernelFunc:jae},Kae=Wu+` +`,ure=Ye({opSnippet:lre}),pre={kernelName:cu,backendName:"webgl",kernelFunc:ure},cre=Uu+` return 1.0 / (1.0 + exp(-1.0 * x)); -`,Xae=` +`,dre=` vec4 result = 1.0 / (1.0 + exp(-1.0 * x)); bvec4 isNaN = isnan(x); @@ -4536,15 +4530,15 @@ return a / b;`,mne=` result.a = isNaN.a ? x.a : result.a; return result; -`,Yae=Ye({opSnippet:Kae,packedOpSnippet:Xae,cpuKernelImpl:aZ}),Zae={kernelName:ao,backendName:"webgl",kernelFunc:Yae},Jae=` +`,hre=Ye({opSnippet:cre,packedOpSnippet:dre,cpuKernelImpl:y7}),mre={kernelName:ao,backendName:"webgl",kernelFunc:hre},fre=` if (isnan(x)) { return 0.0; } return sign(x); -`,Qae=Ye({opSnippet:Jae}),ere={kernelName:du,backendName:"webgl",kernelFunc:Qae},tre=Wu+` +`,gre=Ye({opSnippet:fre}),bre={kernelName:mu,backendName:"webgl",kernelFunc:gre},yre=Uu+` return sin(x); -`,nre=Ye({opSnippet:tre}),are={kernelName:no,backendName:"webgl",kernelFunc:nre},rre=` +`,xre=Ye({opSnippet:yre}),vre={kernelName:no,backendName:"webgl",kernelFunc:xre},wre=` float e2x = exp(x); return (e2x - 1.0 / e2x) / 2.0; -`,sre=Ye({opSnippet:rre}),ire={kernelName:cu,backendName:"webgl",kernelFunc:sre},ore=` +`,kre=Ye({opSnippet:wre}),Ire={kernelName:hu,backendName:"webgl",kernelFunc:kre},Sre=` float epsilon = 1.1920928955078125e-7; float threshold = log(epsilon) + 2.0; @@ -4564,17 +4558,17 @@ return a / b;`,mne=` result = log(exp_x + 1.0); } return result; -`,lre=Ye({opSnippet:ore}),ure={kernelName:hu,backendName:"webgl",kernelFunc:lre},pre=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockShape:s,paddings:i}=a;v.assert(r.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");let o=s.reduce((b,y)=>b*y),l=[[0,0]];l.push(...i);for(let b=1+s.length;bn.disposeIntermediateTensorInfo(b)),g},cre={kernelName:mu,backendName:"webgl",kernelFunc:pre};function dre(e){let{inputs:t,backend:n}=e,{indices:a,values:r,denseShape:s,defaultValue:i}=t;if(s.shape.length!==1)throw new Error(`Dense shape must be a vector, saw: +`,Tre=Ye({opSnippet:Sre}),Nre={kernelName:fu,backendName:"webgl",kernelFunc:Tre},Cre=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockShape:s,paddings:i}=a;v.assert(r.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");let o=s.reduce((b,y)=>b*y),l=[[0,0]];l.push(...i);for(let b=1+s.length;bn.disposeIntermediateTensorInfo(b)),g},_re={kernelName:gu,backendName:"webgl",kernelFunc:Cre};function Ere(e){let{inputs:t,backend:n}=e,{indices:a,values:r,denseShape:s,defaultValue:i}=t;if(s.shape.length!==1)throw new Error(`Dense shape must be a vector, saw: ${s.shape}`);if(a.shape.length!==2)throw new Error(`Indices must be a matrix, saw: ${a.shape}`);if(r.shape.length!==1)throw new Error(`Values must be a vector, saw: ${r.shape}`);if(i.shape.length!==0)throw new Error(`Default value must be a scalar, saw: - ${i.shape}`);let o=n.readSync(a.dataId),l=n.readSync(r.dataId),u=n.readSync(s.dataId),p=n.readSync(i.dataId)[0],[d,c,h,m,f]=sZ(o,a.shape,a.dtype,l,r.dtype,u,p);return[n.makeTensorInfo(c,a.dtype,d),n.makeTensorInfo([c[0]],r.dtype,h),n.makeTensorInfo([m.length],"bool",new Uint8Array(m.map(g=>Number(g)))),n.makeTensorInfo([f.length],a.dtype,new Int32Array(f))]}var hre={kernelName:dc,backendName:"webgl",kernelFunc:dre};function mre(e){let{inputs:t,backend:n}=e,{inputIndices:a,inputShape:r,newShape:s}=t;if(a.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape ${a.shape}`);if(r.shape.length!==1)throw new Error(`Input shape should be a vector but received shape ${r.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=Array.from(n.readSync(r.dataId)),o=n.readSync(a.dataId),l=Array.from(n.readSync(s.dataId)),[u,p,d]=iZ(o,a.shape,a.dtype,i,l);return[n.makeTensorInfo(p,a.dtype,u),n.makeTensorInfo([d.length],s.dtype,new Int32Array(d))]}var fre={kernelName:gu,backendName:"webgl",kernelFunc:mre};function gre(e){let{inputs:t,backend:n}=e,{data:a,indices:r,segmentIds:s}=t;if(a.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape + ${i.shape}`);let o=n.readSync(a.dataId),l=n.readSync(r.dataId),u=n.readSync(s.dataId),p=n.readSync(i.dataId)[0],[d,c,h,m,f]=v7(o,a.shape,a.dtype,l,r.dtype,u,p);return[n.makeTensorInfo(c,a.dtype,d),n.makeTensorInfo([c[0]],r.dtype,h),n.makeTensorInfo([m.length],"bool",new Uint8Array(m.map(g=>Number(g)))),n.makeTensorInfo([f.length],a.dtype,new Int32Array(f))]}var Are={kernelName:mc,backendName:"webgl",kernelFunc:Ere};function $re(e){let{inputs:t,backend:n}=e,{inputIndices:a,inputShape:r,newShape:s}=t;if(a.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape ${a.shape}`);if(r.shape.length!==1)throw new Error(`Input shape should be a vector but received shape ${r.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=Array.from(n.readSync(r.dataId)),o=n.readSync(a.dataId),l=Array.from(n.readSync(s.dataId)),[u,p,d]=w7(o,a.shape,a.dtype,i,l);return[n.makeTensorInfo(p,a.dtype,u),n.makeTensorInfo([d.length],s.dtype,new Int32Array(d))]}var Fre={kernelName:yu,backendName:"webgl",kernelFunc:$re};function Dre(e){let{inputs:t,backend:n}=e,{data:a,indices:r,segmentIds:s}=t;if(a.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape ${r.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape - ${s.shape}`);let i=n.readSync(a.dataId),o=n.readSync(r.dataId),l=n.readSync(s.dataId),[u,p]=A_(i,a.shape,a.dtype,o,l,!0);return n.makeTensorInfo(p,a.dtype,u)}var bre={kernelName:hc,backendName:"webgl",kernelFunc:gre};function yre(e){let{inputs:t,backend:n}=e,{data:a,indices:r,segmentIds:s}=t;if(a.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape + ${s.shape}`);let i=n.readSync(a.dataId),o=n.readSync(r.dataId),l=n.readSync(s.dataId),[u,p]=L_(i,a.shape,a.dtype,o,l,!0);return n.makeTensorInfo(p,a.dtype,u)}var Rre={kernelName:fc,backendName:"webgl",kernelFunc:Dre};function Mre(e){let{inputs:t,backend:n}=e,{data:a,indices:r,segmentIds:s}=t;if(a.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape ${r.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape - ${s.shape}`);let i=n.readSync(a.dataId),o=n.readSync(r.dataId),l=n.readSync(s.dataId),[u,p]=A_(i,a.shape,a.dtype,o,l);return n.makeTensorInfo(p,a.dtype,u)}var xre={kernelName:mc,backendName:"webgl",kernelFunc:yre};function vre(e){let{inputs:t,backend:n,attrs:a}=e,{sparseIndices:r,sparseValues:s,defaultValue:i}=t,{outputShape:o}=a,{sliceRank:l,numUpdates:u,sliceSize:p,strides:d,outputSize:c}=N.calculateShapes(s,r,o),h=!1;if(s.dtype==="string"){let b=n.bufferSync(r),y=n.bufferSync(s),x=v.decodeString(n.readSync(i.dataId)[0]),w=nZ(b,y,o,c,p,u,l,d,x,h);return n.makeTensorInfo(o,w.dtype,w.values)}let m=new lE(u,l,r.shape.length,s.shape.length,d,[c,1],h),f=n.runWebGLProgram(m,[s,r,i],s.dtype),g=de({inputs:{x:f},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(f),g}var wre={kernelName:Im,backendName:"webgl",kernelFunc:vre};function kre(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=a,o=v.parseAxisParam(i,r.shape)[0],l=N.prepareSplitSize(r,s,o),u=r.shape.length,p=new Array(u).fill(0),d=r.shape.slice();return l.map(c=>{let h=[...d];h[o]=c;let m=Vu({inputs:{x:r},backend:n,attrs:{begin:p,size:h}});return p[o]+=c,m})}var Ire={kernelName:fu,backendName:"webgl",kernelFunc:kre},sI="return sqrt(x);",Sre=Ye({opSnippet:sI,packedOpSnippet:sI,cpuKernelImpl:oZ}),Tre={kernelName:ro,backendName:"webgl",kernelFunc:Sre},Nre="return x * x;",Cre=Ye({opSnippet:Nre}),_re={kernelName:fc,backendName:"webgl",kernelFunc:Cre},iI="return (a - b) * (a - b);",Ere=un({opSnippet:iI,packedOpSnippet:iI}),Are={kernelName:oo,backendName:"webgl",kernelFunc:Ere};function $re({inputs:e,attrs:t,backend:n}){let{x:a}=e,r=Fa+` + ${s.shape}`);let i=n.readSync(a.dataId),o=n.readSync(r.dataId),l=n.readSync(s.dataId),[u,p]=L_(i,a.shape,a.dtype,o,l);return n.makeTensorInfo(p,a.dtype,u)}var Pre={kernelName:gc,backendName:"webgl",kernelFunc:Mre};function Ore(e){let{inputs:t,backend:n,attrs:a}=e,{sparseIndices:r,sparseValues:s,defaultValue:i}=t,{outputShape:o}=a,{sliceRank:l,numUpdates:u,sliceSize:p,strides:d,outputSize:c}=N.calculateShapes(s,r,o),h=!1;if(s.dtype==="string"){let b=n.bufferSync(r),y=n.bufferSync(s),x=v.decodeString(n.readSync(i.dataId)[0]),w=b7(b,y,o,c,p,u,l,d,x,h);return n.makeTensorInfo(o,w.dtype,w.values)}let m=new gE(u,l,r.shape.length,s.shape.length,d,[c,1],h),f=n.runWebGLProgram(m,[s,r,i],s.dtype),g=de({inputs:{x:f},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(f),g}var Lre={kernelName:Tm,backendName:"webgl",kernelFunc:Ore};function zre(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=a,o=v.parseAxisParam(i,r.shape)[0],l=N.prepareSplitSize(r,s,o),u=r.shape.length,p=new Array(u).fill(0),d=r.shape.slice();return l.map(c=>{let h=[...d];h[o]=c;let m=Gu({inputs:{x:r},backend:n,attrs:{begin:p,size:h}});return p[o]+=c,m})}var Wre={kernelName:bu,backendName:"webgl",kernelFunc:zre},dI="return sqrt(x);",Bre=Ye({opSnippet:dI,packedOpSnippet:dI,cpuKernelImpl:k7}),Vre={kernelName:ro,backendName:"webgl",kernelFunc:Bre},Ure="return x * x;",Gre=Ye({opSnippet:Ure}),Hre={kernelName:bc,backendName:"webgl",kernelFunc:Gre},hI="return (a - b) * (a - b);",jre=pn({opSnippet:hI,packedOpSnippet:hI}),qre={kernelName:oo,backendName:"webgl",kernelFunc:jre};function Kre({inputs:e,attrs:t,backend:n}){let{x:a}=e,r=Da+` return x > 0.0 ? 1.0 : float(${t.alpha}); - `,s=new Sr(a.shape,r);return n.runWebGLProgram(s,[a],a.dtype)}var Fre={kernelName:hs,backendName:"webgl",kernelFunc:$re},Dre=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=n;let a=n.length,r=gt(n.length),s=gt(n.length),i="";if(a===1)i="coords * strides + begin";else{let o=0;i=n.map((l,u)=>(o++,n.length===1?`coords * strides[${u}] + begin[${u}]`:`coords[${o-1}] * strides[${u}] + begin[${u}]`)).join(",")}this.userCode=` + `,s=new Sr(a.shape,r);return n.runWebGLProgram(s,[a],a.dtype)}var Xre={kernelName:ms,backendName:"webgl",kernelFunc:Kre},Yre=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=n;let a=n.length,r=gt(n.length),s=gt(n.length),i="";if(a===1)i="coords * strides + begin";else{let o=0;i=n.map((l,u)=>(o++,n.length===1?`coords * strides[${u}] + begin[${u}]`:`coords[${o-1}] * strides[${u}] + begin[${u}]`)).join(",")}this.userCode=` ${r} begin = ${r}(${e}); ${r} strides = ${r}(${t}); @@ -4582,15 +4576,15 @@ return a / b;`,mne=` ${s} coords = getOutputCoords(); setOutput(getX(${i})); } - `}};function Rre(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:p,newAxisMask:d,shrinkAxisMask:c}=a,{finalShapeSparse:h,finalShape:m,isIdentity:f,sliceDim0:g,isSimpleSlice:b,begin:y,end:x,strides:w}=jt.sliceInfo(r.shape,s,i,o,l,u,p,d,c),I;if(f)I=de({inputs:{x:r},backend:n,attrs:{shape:m}});else if(g||b){v.assert(r.shape.length>=1,()=>`Input must have rank at least 1, got: ${r.shape.length}`);let C=jt.computeOutShape(y,x,w),E=Vu({inputs:{x:r},backend:n,attrs:{begin:y,size:C}});I=de({inputs:{x:E},backend:n,attrs:{shape:m}}),n.disposeIntermediateTensorInfo(E)}else if(n.shouldExecuteOnCPU([r])){let C=n.readSync(r.dataId),E=Pe(r.shape,r.dtype,C),A=lZ(h,E,w,y);I=n.makeTensorInfo(m,r.dtype,A.values)}else{let C=new Dre(y,w,h);I=n.runWebGLProgram(C,[r],r.dtype)}let T=de({inputs:{x:I},backend:n,attrs:{shape:m}});return n.disposeIntermediateTensorInfo(I),T}var Mre={kernelName:bu,backendName:"webgl",kernelFunc:Rre};function Pre(e){let{inputs:t,backend:n,attrs:a}=e,{separator:r,nGramWidths:s,leftPad:i,rightPad:o,padWidth:l,preserveShortSequences:u}=a,{data:p,dataSplits:d}=t,c=n.readSync(p.dataId),h=n.readSync(d.dataId),[m,f]=uZ(c,h,r,s,i,o,l,u);return[n.makeTensorInfo([m.length],"string",m),n.makeTensorInfo(d.shape,"int32",f)]}var Ore={kernelName:gc,backendName:"webgl",kernelFunc:Pre};function Lre(e){let{inputs:t,backend:n,attrs:a}=e,{skipEmpty:r}=a,{input:s,delimiter:i}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(i.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${i.shape}`);let o=n.readSync(s.dataId),l=n.readSync(i.dataId)[0],[u,p,d]=pZ(o,l,r),c=p.length;return[n.makeTensorInfo([c,2],"int32",u),n.makeTensorInfo([c],"string",p),n.makeTensorInfo([2],"int32",new Int32Array(d))]}var zre={kernelName:bc,backendName:"webgl",kernelFunc:Lre};function Bre(e){let{inputs:t,backend:n,attrs:a}=e,{numBuckets:r}=a,{input:s}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(r<=0)throw new Error("Number of buckets must be at least 1");let i=n.readSync(s.dataId),o=cZ(i,r);return n.makeTensorInfo(s.shape,"int32",o)}var Wre={kernelName:yc,backendName:"webgl",kernelFunc:Bre},Vre="return tan(x);",Ure=Ye({opSnippet:Vre}),Gre={kernelName:uo,backendName:"webgl",kernelFunc:Ure},Hre=` + `}};function Zre(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:p,newAxisMask:d,shrinkAxisMask:c}=a,{finalShapeSparse:h,finalShape:m,isIdentity:f,sliceDim0:g,isSimpleSlice:b,begin:y,end:x,strides:w}=jt.sliceInfo(r.shape,s,i,o,l,u,p,d,c),I;if(f)I=de({inputs:{x:r},backend:n,attrs:{shape:m}});else if(g||b){v.assert(r.shape.length>=1,()=>`Input must have rank at least 1, got: ${r.shape.length}`);let C=jt.computeOutShape(y,x,w),E=Gu({inputs:{x:r},backend:n,attrs:{begin:y,size:C}});I=de({inputs:{x:E},backend:n,attrs:{shape:m}}),n.disposeIntermediateTensorInfo(E)}else if(n.shouldExecuteOnCPU([r])){let C=n.readSync(r.dataId),E=Pe(r.shape,r.dtype,C),A=I7(h,E,w,y);I=n.makeTensorInfo(m,r.dtype,A.values)}else{let C=new Yre(y,w,h);I=n.runWebGLProgram(C,[r],r.dtype)}let T=de({inputs:{x:I},backend:n,attrs:{shape:m}});return n.disposeIntermediateTensorInfo(I),T}var Jre={kernelName:xu,backendName:"webgl",kernelFunc:Zre};function Qre(e){let{inputs:t,backend:n,attrs:a}=e,{separator:r,nGramWidths:s,leftPad:i,rightPad:o,padWidth:l,preserveShortSequences:u}=a,{data:p,dataSplits:d}=t,c=n.readSync(p.dataId),h=n.readSync(d.dataId),[m,f]=S7(c,h,r,s,i,o,l,u);return[n.makeTensorInfo([m.length],"string",m),n.makeTensorInfo(d.shape,"int32",f)]}var ese={kernelName:yc,backendName:"webgl",kernelFunc:Qre};function tse(e){let{inputs:t,backend:n,attrs:a}=e,{skipEmpty:r}=a,{input:s,delimiter:i}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(i.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${i.shape}`);let o=n.readSync(s.dataId),l=n.readSync(i.dataId)[0],[u,p,d]=T7(o,l,r),c=p.length;return[n.makeTensorInfo([c,2],"int32",u),n.makeTensorInfo([c],"string",p),n.makeTensorInfo([2],"int32",new Int32Array(d))]}var nse={kernelName:xc,backendName:"webgl",kernelFunc:tse};function ase(e){let{inputs:t,backend:n,attrs:a}=e,{numBuckets:r}=a,{input:s}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(r<=0)throw new Error("Number of buckets must be at least 1");let i=n.readSync(s.dataId),o=N7(i,r);return n.makeTensorInfo(s.shape,"int32",o)}var rse={kernelName:vc,backendName:"webgl",kernelFunc:ase},sse="return tan(x);",ise=Ye({opSnippet:sse}),ose={kernelName:uo,backendName:"webgl",kernelFunc:ise},lse=` float e2x = exp(-2.0 * abs(x)); return sign(x) * (1.0 - e2x) / (1.0 + e2x); -`,jre=Ye({opSnippet:Hre}),qre={kernelName:po,backendName:"webgl",kernelFunc:jre},Kre=class{constructor(e,t){this.variableNames=["A"];let n=new Array(e.length);for(let s=0;s5)throw Error(`Tile for rank ${t} is not yet supported`);if(t===1)return`imod(resRC, ${e[0]})`;let n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],a=[];for(let r=0;r5){let o=n.readSync(r.dataId),l=r.dtype==="string"?o.map(d=>v.decodeString(d)):o,u=Pe(r.shape,r.dtype,l),p=hZ(u,s);return n.makeTensorInfo(p.shape,p.dtype,p.values)}let i=new Kre(r.shape,s);return n.runWebGLProgram(i,[r],r.dtype)}var Yre={kernelName:ds,backendName:"webgl",kernelFunc:uE},Zre=class{constructor(e){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"negativeInf",type:"float"},{name:"dir",type:"int"},{name:"inc",type:"int"}],this.outputShape=e,this.userCode=` + `}};function dse(e){let t=e.length;if(t>5)throw Error(`Tile for rank ${t} is not yet supported`);if(t===1)return`imod(resRC, ${e[0]})`;let n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],a=[];for(let r=0;r5){let o=n.readSync(r.dataId),l=r.dtype==="string"?o.map(d=>v.decodeString(d)):o,u=Pe(r.shape,r.dtype,l),p=_7(u,s);return n.makeTensorInfo(p.shape,p.dtype,p.values)}let i=new cse(r.shape,s);return n.runWebGLProgram(i,[r],r.dtype)}var hse={kernelName:hs,backendName:"webgl",kernelFunc:bE},mse=class{constructor(e){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"negativeInf",type:"float"},{name:"dir",type:"int"},{name:"inc",type:"int"}],this.outputShape=e,this.userCode=` void main() { ivec2 coords = getOutputCoords(); int batch = coords[0]; @@ -4630,7 +4624,7 @@ return a / b;`,mne=` setOutput(float(i1)); } } - `}},Jre=class{constructor(e){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"k",type:"int"}],this.outputShape=e,this.userCode=` + `}},fse=class{constructor(e){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"k",type:"int"}],this.outputShape=e,this.userCode=` void main() { // Takes max of indices (0, k), (1, k + 1), (2, k + 2) ... ivec2 coords = getOutputCoords(); @@ -4664,7 +4658,7 @@ return a / b;`,mne=` setOutput(x0 >= x1 ? float(i0) : float(i1)); } - `}};function Os(e,t){t!==null&&e.disposeIntermediateTensorInfo(t)}function oI(e){let t=1;for(;tl){let A=n.readSync(r.dataId),[R,F]=mZ(A,u,r.dtype,s,i);return[n.makeTensorInfo(R.shape,R.dtype,R.values),n.makeTensorInfo(F.shape,F.dtype,F.values)]}if(s===0)return u[u.length-1]=0,[n.makeTensorInfo(u,r.dtype,[]),n.makeTensorInfo(u,"int32",[])];if(p===1)return[r,rd({attrs:{shape:u,dtype:"int32",value:0},backend:n})];let d=n.texData.get(r.dataId),c=d!==null&&d.isPacked,h=c?n.unpackTensor(r):r,m=v.sizeFromShape(u)/p,f=de({inputs:{x:h},attrs:{shape:[m,p]},backend:n});c&&Os(n,h);let g=oI(s),b=oI(p),y=null,x=()=>y===null?[f,f]:[f,y],w=(A,R,F)=>{let S=x(),M=new Zre(F),W=[[p],[y===null?1:0],[Number.NEGATIVE_INFINITY],[A],[R]],U=y;y=n.runWebGLProgram(M,S,"int32",W),Os(n,U)};for(let A=1;A=1;F/=2)w(R,F,[m,b])}for(let A=b;A>g;A/=2){let R=x(),F=new Jre([m,A/2]),S=[[p],[y===null?1:0],[g]],M=y;y=n.runWebGLProgram(F,R,"int32",S),Os(n,M);let W=g/2,U=W*2;for(let G=W;G>=1;G/=2)w(U,G,y.shape)}let I=y;y=Vu({inputs:{x:y},backend:n,attrs:{begin:0,size:[m,s]}}),Os(n,I);let T=eE({inputs:{x:f,indices:y},backend:n,attrs:{axis:1,batchDims:1}});Os(n,f);let C=u.slice(0,-1);C.push(s),I=y,y=de({inputs:{x:y},attrs:{shape:C},backend:n}),Os(n,I);let E=T;return T=de({inputs:{x:T},attrs:{shape:C},backend:n}),Os(n,E),[T,y]}var ese={kernelName:yu,backendName:"webgl",kernelFunc:Qre},tse=class{constructor(e,t,n,a,r,s){this.variableNames=["Image","Transforms"],this.outputShape=s;let i=n==="nearest"?1:2,o;switch(a){case"constant":o=1;break;case"reflect":o=2;break;case"wrap":o=3;break;case"nearest":o=4;break;default:o=1;break}this.userCode=` + `}};function Os(e,t){t!==null&&e.disposeIntermediateTensorInfo(t)}function mI(e){let t=1;for(;tl){let A=n.readSync(r.dataId),[R,F]=E7(A,u,r.dtype,s,i);return[n.makeTensorInfo(R.shape,R.dtype,R.values),n.makeTensorInfo(F.shape,F.dtype,F.values)]}if(s===0)return u[u.length-1]=0,[n.makeTensorInfo(u,r.dtype,[]),n.makeTensorInfo(u,"int32",[])];if(p===1)return[r,sd({attrs:{shape:u,dtype:"int32",value:0},backend:n})];let d=n.texData.get(r.dataId),c=d!==null&&d.isPacked,h=c?n.unpackTensor(r):r,m=v.sizeFromShape(u)/p,f=de({inputs:{x:h},attrs:{shape:[m,p]},backend:n});c&&Os(n,h);let g=mI(s),b=mI(p),y=null,x=()=>y===null?[f,f]:[f,y],w=(A,R,F)=>{let S=x(),M=new mse(F),B=[[p],[y===null?1:0],[Number.NEGATIVE_INFINITY],[A],[R]],U=y;y=n.runWebGLProgram(M,S,"int32",B),Os(n,U)};for(let A=1;A=1;F/=2)w(R,F,[m,b])}for(let A=b;A>g;A/=2){let R=x(),F=new fse([m,A/2]),S=[[p],[y===null?1:0],[g]],M=y;y=n.runWebGLProgram(F,R,"int32",S),Os(n,M);let B=g/2,U=B*2;for(let G=B;G>=1;G/=2)w(U,G,y.shape)}let I=y;y=Gu({inputs:{x:y},backend:n,attrs:{begin:0,size:[m,s]}}),Os(n,I);let T=lE({inputs:{x:f,indices:y},backend:n,attrs:{axis:1,batchDims:1}});Os(n,f);let C=u.slice(0,-1);C.push(s),I=y,y=de({inputs:{x:y},attrs:{shape:C},backend:n}),Os(n,I);let E=T;return T=de({inputs:{x:T},attrs:{shape:C},backend:n}),Os(n,E),[T,y]}var bse={kernelName:vu,backendName:"webgl",kernelFunc:gse},yse=class{constructor(e,t,n,a,r,s){this.variableNames=["Image","Transforms"],this.outputShape=s;let i=n==="nearest"?1:2,o;switch(a){case"constant":o=1;break;case"reflect":o=2;break;case"wrap":o=3;break;case"nearest":o=4;break;default:o=1;break}this.userCode=` float mapCoord(float outCoord, float len) { float inCoord = outCoord; if(${o} == 2) { @@ -4776,7 +4770,7 @@ return a / b;`,mne=` } setOutput(outputValue); } - `}};function nse(e){let{inputs:t,backend:n,attrs:a}=e,{image:r,transforms:s}=t,{interpolation:i,fillMode:o,fillValue:l,outputShape:u}=a,[p,d,c,h]=r.shape,[m,f]=u!=null?u:[d,c],g=[p,m,f,h],b=new tse(d,c,i,o,l,g);return n.runWebGLProgram(b,[r,s],"float32")}var ase={kernelName:xu,backendName:"webgl",kernelFunc:nse};function rse(e){let{inputs:t,attrs:n,backend:a}=e,{axis:r}=n,{x:s}=t;Pu(s,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");let i=a.readSync(s.dataId),{outputValues:o,outputShape:l,indices:u}=fZ(i,r,s.shape,s.dtype);return[a.makeTensorInfo(l,s.dtype,o),a.makeTensorInfo([u.length],"int32",u)]}var sse={kernelName:Sm,backendName:"webgl",kernelFunc:rse};function ise(e){let{inputs:t,backend:n,attrs:a}=e,{value:r}=t,{axis:s}=a;s<0&&(s+=r.shape.length);let i=r,o=i.shape.length,l=r.shape[s],u=new Array(o-1),p=0;for(let f=0;fn.disposeIntermediateTensorInfo(f)),m}var ose={kernelName:vu,backendName:"webgl",kernelFunc:ise},lse=class{constructor(e,t){this.variableNames=["x","segmentIds"];let n=e.windowSize,a=e.batchSize,r=e.inSize,s=e.numSegments,i=s*Math.ceil(r/n);this.outputShape=[a,i];let o="0.0",l="sumValue",u=Math.floor(n/4)*4,p=n%4,d=` + `}};function xse(e){let{inputs:t,backend:n,attrs:a}=e,{image:r,transforms:s}=t,{interpolation:i,fillMode:o,fillValue:l,outputShape:u}=a,[p,d,c,h]=r.shape,[m,f]=u!=null?u:[d,c],g=[p,m,f,h],b=new yse(d,c,i,o,l,g);return n.runWebGLProgram(b,[r,s],"float32")}var vse={kernelName:wu,backendName:"webgl",kernelFunc:xse};function wse(e){let{inputs:t,attrs:n,backend:a}=e,{axis:r}=n,{x:s}=t;Lu(s,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");let i=a.readSync(s.dataId),{outputValues:o,outputShape:l,indices:u}=A7(i,r,s.shape,s.dtype);return[a.makeTensorInfo(l,s.dtype,o),a.makeTensorInfo([u.length],"int32",u)]}var kse={kernelName:Nm,backendName:"webgl",kernelFunc:wse};function Ise(e){let{inputs:t,backend:n,attrs:a}=e,{value:r}=t,{axis:s}=a;s<0&&(s+=r.shape.length);let i=r,o=i.shape.length,l=r.shape[s],u=new Array(o-1),p=0;for(let f=0;fn.disposeIntermediateTensorInfo(f)),m}var Sse={kernelName:ku,backendName:"webgl",kernelFunc:Ise},Tse=class{constructor(e,t){this.variableNames=["x","segmentIds"];let n=e.windowSize,a=e.batchSize,r=e.inSize,s=e.numSegments,i=s*Math.ceil(r/n);this.outputShape=[a,i];let o="0.0",l="sumValue",u=Math.floor(n/4)*4,p=n%4,d=` sumValue += dot(values, segFilter); `,c="";r%n>0&&(c=` if (inIdx < 0 || inIdx >= ${r}) { @@ -4882,7 +4876,7 @@ return a / b;`,mne=` } setOutput(${l}); } - `}};function use(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,segmentIds:s}=t,{numSegments:i}=a,o=r.shape.length,l=[],u=0,p=N.getAxesPermutation([u],o),d=r;p!=null&&(d=kn({inputs:{x:r},backend:n,attrs:{perm:p}}),l.push(d),u=N.getInnerMostAxes(1,o)[0]);let c=N.segment_util.computeOutShape(d.shape,u,i),h=v.sizeFromShape([d.shape[u]]),m=de({inputs:{x:d},backend:n,attrs:{shape:[-1,h]}});l.push(m);let f=Nm(r.dtype),g=(w,I,T,C,E)=>{let A=w.shape[0],R=w.shape[1],F=N.segment_util.segOpComputeOptimalWindowSize(R,E),S={windowSize:F,inSize:R,batchSize:A,numSegments:E},M=new lse(S,I),W=n.compileAndRun(M,[w,T],C);if(l.push(W),W.shape[1]===E)return W;let U=oE({backend:n,attrs:{start:0,stop:E,step:1,dtype:"float32"}}),G=uE({inputs:{x:U},backend:n,attrs:{reps:[R/F]}});return l.push(U),l.push(G),g(W,I,G,C,E)},b=g(m,"unsortedSegmentSum",s,f,i),y=de({inputs:{x:b},backend:n,attrs:{shape:c}}),x=y;if(p!=null){l.push(y);let w=N.getUndoAxesPermutation(p);x=kn({inputs:{x},backend:n,attrs:{perm:w}})}return l.forEach(w=>n.disposeIntermediateTensorInfo(w)),x}var pse={kernelName:xc,backendName:"webgl",kernelFunc:use},cse=[lJ,pJ,hJ,gJ,yJ,wJ,IJ,TJ,EJ,$J,RJ,OJ,BJ,GJ,qJ,XJ,ZJ,t9,a9,s9,u9,g9,y9,v9,N9,_9,F9,HZ,M9,B9,G9,Y9,J9,eQ,nQ,rQ,oQ,pQ,hQ,fQ,bQ,xQ,kQ,SQ,_Q,AQ,DQ,PQ,LQ,VQ,jQ,YQ,QQ,nee,aee,see,oee,uee,cee,hee,bee,vee,Iee,Tee,_ee,$ee,Mee,zee,GZ,Wee,L9,Gee,qee,Yee,qZ,ete,rte,ite,pte,hte,bte,vte,Ste,_te,$te,Dte,Ote,zte,Wte,Hte,qte,Xte,Zte,Qte,ane,one,cne,xne,YZ,Ine,Nne,Ene,Fne,k9,Mne,One,zne,Vne,jne,XZ,Kne,Yne,Jne,Qne,I9,fne,nae,iae,pae,JZ,mae,bae,wae,Sae,_ae,Aae,Dae,Pae,Lae,Wae,Gae,qae,Zae,ere,are,ire,m9,bne,ure,cre,hre,fre,bre,xre,wre,Ire,Tre,_re,Are,Fre,Mre,Ore,zre,Wre,gne,sJ,Gre,qre,Yre,ese,ase,iJ,sse,ose,pse,Pne];for(let e of cse)vc(e);var Et;(function(e){e[e.float32=0]="float32",e[e.int32=1]="int32",e[e.bool=2]="bool",e[e.string=3]="string",e[e.complex64=4]="complex64"})(Et||(Et={}));var tc;(function(e){e[e.linear=0]="linear",e[e.relu=1]="relu",e[e.relu6=2]="relu6",e[e.prelu=3]="prelu",e[e.leakyrelu=4]="leakyrelu",e[e.sigmoid=5]="sigmoid",e[e.elu=6]="elu"})(tc||(tc={}));var pE;function dse(e){pE=e.wasm.cwrap(Js,null,["number","array","number","number","array","number","number","number","number","number","number","number","number"])}function hse(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s,bias:i,preluActivationWeights:o}=t;if(r.dtype!=="float32"||s.dtype!=="float32")throw new Error("_FusedMatMul for non non-float32 tensors not yet supported.");let{transposeA:l,transposeB:u,activation:p,leakyreluAlpha:d}=a,c=n.dataIdMap.get(r.dataId).id,h=n.dataIdMap.get(s.dataId).id,m=0;if(i!=null){let E=n.dataIdMap.get(i.dataId);if(E.shape.length!==1)throw new Error(`_FusedMatMul only supports rank-1 bias but got rank ${E.shape.length}.`);m=E.id}let f=o==null?0:n.dataIdMap.get(o.dataId).id,g=tc[p];if(g==null)throw new Error(`${p} activation not yet supported for FusedConv2D in the wasm backend.`);let b=l?r.shape[2]:r.shape[1],y=u?s.shape[1]:s.shape[2],x=Iu.assertAndGetBroadcastShape(r.shape.slice(0,-2),s.shape.slice(0,-2)),w=n.makeOutput([...x,b,y],r.dtype),I=n.dataIdMap.get(w.dataId).id,T=new Uint8Array(new Int32Array(r.shape).buffer),C=new Uint8Array(new Int32Array(s.shape).buffer);return pE(c,T,r.shape.length,h,C,s.shape.length,l,u,g,m,f,d||0,I),w}var mse={kernelName:Js,backendName:"wasm",setupFunc:dse,kernelFunc:hse};function nn(e,t){let n;function a(s){n=s.wasm.cwrap(e,null,["number","number","number"])}function r(s){let{backend:i,inputs:{x:o}}=s,l=i.dataIdMap.get(o.dataId).id,u=i.makeOutput(o.shape,t||o.dtype),p=i.dataIdMap.get(u.dataId).id;return v.sizeFromShape(u.shape)===0||n(l,Et[o.dtype],p),u}return{kernelName:e,backendName:"wasm",setupFunc:a,kernelFunc:r}}var fse=nn(xl);function pn(e,t,n){let a;function r(i){a=i.wasm.cwrap(e,null,["number","array","number","number","array","number","number","number"])}function s(i){let{backend:o,inputs:l}=i,{a:u,b:p}=l,d=o.dataIdMap.get(u.dataId).id,c=o.dataIdMap.get(p.dataId).id,h=n!=null?n:u.dtype,m=N.assertAndGetBroadcastShape(u.shape,p.shape),f=o.makeOutput(m,h);if(v.sizeFromShape(m)===0)return f;let g=new Uint8Array(new Int32Array(u.shape).buffer),b=new Uint8Array(new Int32Array(p.shape).buffer),y=o.dataIdMap.get(f.dataId).id;return a(d,g,u.shape.length,c,b,p.shape.length,Et[u.dtype],y),f}return{kernelName:e,backendName:"wasm",setupFunc:r,kernelFunc:s}}var gse=!0,bse=pn(ps,gse),cE;function yse(e){cE=e.wasm.cwrap(mi,null,["array","number","number","number"])}function xse(e){let{inputs:t,backend:n}=e,a=n.makeOutput(t[0].shape,t[0].dtype);if(v.sizeFromShape(a.shape)===0)return a;let r=t.map(o=>n.dataIdMap.get(o.dataId).id),s=new Uint8Array(new Int32Array(r).buffer),i=n.dataIdMap.get(a.dataId).id;return cE(s,r.length,Et[a.dtype],i),a}var vse={kernelName:mi,backendName:"wasm",setupFunc:yse,kernelFunc:xse};function Pf(e){let{inputs:{x:t},backend:n}=e,a=n.makeOutput(t.shape,t.dtype),r=n.typedArrayFromHeap(t);return n.typedArrayFromHeap(a).set(r),a}var wse={kernelName:Di,backendName:"wasm",kernelFunc:Pf},dE;function kse(e){dE=e.wasm.cwrap(Tr,null,["number","array","number","number","number","array","number"])}function os(e){let{inputs:t,backend:n,attrs:a}=e,[r,s]=Sse(t.x.shape,a.perm),i=!0;for(let m=0;m=r&&(s===-1||a[s]>a[i])&&(s=i);a[s]=r}return[n,a]}var Tse={kernelName:Tr,backendName:"wasm",kernelFunc:os,setupFunc:kse};function Ss(e,t,n){let a=e.shape,r=e.shape.length,s=v.parseAxisParam(t,a),i=s,o=N.getAxesPermutation(i,r),l=null,u=!1;if(o!=null){let p=new Array(r);for(let c=0;c`new shape: ${i}, old shape: ${a.shape}. New shape and old shape must have the same number of elements.`),e.backend.incRef(a.dataId),{dataId:a.dataId,shape:i,dtype:a.dtype}}var Lse={kernelName:iu,backendName:"wasm",kernelFunc:zn},bE;function zse(e){bE=e.wasm.cwrap(bi,null,["number","array","number","number","array","number","number","number","number"])}function Bse(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s}=t,{transposeA:i,transposeB:o}=a;if(r.dtype!=="float32"||s.dtype!=="float32")throw new Error("BatchMatMul for non non-float32 tensors not yet supported.");let l=r.shape.length,u=s.shape.length,p=i?r.shape[l-2]:r.shape[l-1],d=o?s.shape[u-1]:s.shape[u-2],c=i?r.shape[l-1]:r.shape[l-2],h=o?s.shape[u-2]:s.shape[u-1],m=r.shape.slice(0,-2),f=s.shape.slice(0,-2),g=v.sizeFromShape(m),b=v.sizeFromShape(f),y=Iu.assertAndGetBroadcastShape(r.shape.slice(0,-2),s.shape.slice(0,-2)).concat([c,h]);v.assert(p===d,()=>`Error in matMul: inner shapes (${p}) and (${d}) of Tensors with shapes ${r.shape} and ${s.shape} and transposeA=${i} and transposeB=${o} must match.`);let x=i?[g,p,c]:[g,c,p],w=o?[b,h,d]:[b,d,h],I=zn({inputs:{x:r},backend:n,attrs:{shape:x}}),T=zn({inputs:{x:s},backend:n,attrs:{shape:w}}),C=n.dataIdMap.get(I.dataId).id,E=n.dataIdMap.get(T.dataId).id,A=i?I.shape[2]:I.shape[1],R=o?T.shape[1]:T.shape[2],F=Math.max(g,b),S=n.makeOutput([F,A,R],I.dtype),M=n.dataIdMap.get(S.dataId).id,W=new Uint8Array(new Int32Array(I.shape).buffer),U=new Uint8Array(new Int32Array(T.shape).buffer);return bE(C,W,I.shape.length,E,U,T.shape.length,i,o,M),n.disposeData(I.dataId),n.disposeData(T.dataId),S.shape=y,S}var Wse={kernelName:bi,backendName:"wasm",setupFunc:zse,kernelFunc:Bse};function di(e){let{inputs:{x:t},attrs:{begin:n,size:a},backend:r}=e,[s,i]=jt.parseSliceParams(t,n,a),o=jt.isSliceContinous(t.shape,s,i),l=r.readSync(t.dataId),u=r.makeOutput(i,t.dtype),p=v.computeStrides(t.shape),d=r.dataIdMap.get(u.dataId);if(o){let m=jt.computeFlatOffset(s,p);return t.dtype==="string"?d.stringBytes=l.slice(m,m+v.sizeFromShape(i)):r.typedArrayFromHeap(u).set(l.subarray(m,m+v.sizeFromShape(i))),u}if(t.dtype==="string"){let m=Ph(l,s,i,t.shape,t.dtype);return d.stringBytes=m,u}let c=r.typedArrayFromHeap(u),h=t.shape.length;if(h===2)Vse(l,p[0],c,s,i);else if(h===3)Use(l,p[0],p[1],c,s,i);else if(h===4)Gse(l,p[0],p[1],p[2],c,s,i);else{let m=Ph(l,s,i,t.shape,t.dtype);c.set(m)}return u}function Vse(e,t,n,a,r){let s=0,i=a[0],o=a[1],l=i+r[0];for(let u=i;ub*y),l=N.getReshaped(r.shape,s,o),u=N.getPermuted(l.length,s.length),p=N.getReshapedPermuted(r.shape,s,o),d=N.getSliceBeginCoords(i,s.length),c=N.getSliceSize(p,i,s.length),h=zn({inputs:{x:r},backend:n,attrs:{shape:l}}),m=os({inputs:{x:h},backend:n,attrs:{perm:u}}),f=zn({inputs:{x:m},backend:n,attrs:{shape:p}}),g=di({inputs:{x:f},backend:n,attrs:{begin:d,size:c}});return n.disposeData(h.dataId),n.disposeData(m.dataId),n.disposeData(h.dataId),g}var qse={kernelName:El,backendName:"wasm",kernelFunc:jse};function Uu(e){let{inputs:{x:t},attrs:{dtype:n},backend:a}=e,r=a.makeOutput(t.shape,n),s=a.typedArrayFromHeap(t);return a.typedArrayFromHeap(r).set(s),r}var Kse={kernelName:yi,backendName:"wasm",kernelFunc:Uu},Xse=nn(xi),yE;function Yse(e){yE=e.wasm.cwrap(cs,null,["number","number","number","number"])}function Zse(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{clipValueMin:s,clipValueMax:i}=a,o=n.dataIdMap.get(r.dataId).id,l=n.makeOutput(r.shape,r.dtype),u=n.dataIdMap.get(l.dataId).id;return yE(o,s,i,u),l}var Jse={kernelName:cs,backendName:"wasm",setupFunc:Yse,kernelFunc:Zse};function xE(e){let{inputs:t,backend:n}=e,a=v.parseAxisParam(e.attrs.axis,t[0].shape)[0],r=t.map(h=>h.shape);N.assertParamsConsistent(r,a);let s=N.computeOutShape(t.map(h=>h.shape),a),i=t.filter(h=>v.sizeFromShape(h.shape)>0);if(i.length===1)return Pf({inputs:{x:i[0]},backend:n});let o=n.makeOutput(s,t[0].dtype);if(v.sizeFromShape(s)===0)return o;if(i[0].dtype==="string"){let h=i.map(x=>{let w=v.sizeFromShape(x.shape.slice(a));return zn({inputs:{x},backend:n,attrs:{shape:[-1,w]}})}),m=h.map(x=>({vals:n.readSync(x.dataId),shape:x.shape}));s=N.computeOutShape(h.map(x=>x.shape),1);let f=h[0].shape[0]===1,g=T0(m,s,t[0].dtype,f),b=N.computeOutShape(i.map(x=>x.shape),a);o.shape=b;let y=n.dataIdMap.get(o.dataId);return y.stringBytes=N.fromStringArrayToUint8(g),h.forEach(x=>n.disposeData(x.dataId)),o}let l=v.sizeFromShape(i[0].shape.slice(0,a)),u=0,p=i.map(h=>{let m=v.sizeFromShape(h.shape.slice(a));return u+=m,m}),d=i.map(h=>n.typedArrayFromHeap(h)),c=n.typedArrayFromHeap(o);for(let h=0;h`cumprod does not support ${r.dtype} tensors in the WASM backend`);let u=N.getAxesPermutation([s],l),p=r;u!==null&&(p=os({inputs:{x:r},attrs:{perm:u},backend:n}));let d=N.getInnerMostAxes(1,l)[0];N.assertAxesAreInnerMostDims("cumprod",[d],l);let c=n.makeOutput(p.shape,p.dtype),h=p.shape[d],m=n.dataIdMap.get(p.dataId).id,f=n.dataIdMap.get(c.dataId).id;IE(m,i?1:0,o?1:0,h,f,Et[r.dtype]);let g=c;if(u!==null){let b=N.getUndoAxesPermutation(u);g=os({inputs:{x:c},attrs:{perm:b},backend:n}),n.disposeData(p.dataId),n.disposeData(c.dataId)}return g}var hie={kernelName:$l,backendName:"wasm",setupFunc:cie,kernelFunc:die},SE;function mie(e){SE=e.wasm.cwrap(Si,null,["number","number","number","number","number","number"])}function fie(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=a,l=r.shape.length;v.assert(r.dtype==="float32"||r.dtype==="int32",()=>`cumsum does not support ${r.dtype} tensors in the WASM backend`);let u=N.getAxesPermutation([s],l),p=r;u!==null&&(p=os({inputs:{x:r},attrs:{perm:u},backend:n}));let d=N.getInnerMostAxes(1,l)[0];N.assertAxesAreInnerMostDims("cumsum",[d],l);let c=n.makeOutput(p.shape,p.dtype),h=p.shape[d],m=n.dataIdMap.get(p.dataId).id,f=n.dataIdMap.get(c.dataId).id;SE(m,i?1:0,o?1:0,h,f,Et[r.dtype]);let g=c;if(u!==null){let b=N.getUndoAxesPermutation(u);g=os({inputs:{x:c},attrs:{perm:b},backend:n}),n.disposeData(p.dataId),n.disposeData(c.dataId)}return g}var gie={kernelName:Si,backendName:"wasm",setupFunc:mie,kernelFunc:fie},TE;function bie(e){TE=e.wasm.cwrap(Dl,null,["number","number","number","array","number","array","array","number","number"])}function yie(e){let{backend:t,inputs:n,attrs:a}=e,{x:r}=n,{blockSize:s,dataFormat:i}=a,o=r.shape[0],l=i==="NHWC"?r.shape[1]:r.shape[2],u=i==="NHWC"?r.shape[2]:r.shape[3],p=i==="NHWC"?r.shape[3]:r.shape[1],d=l*s,c=u*s,h=p/(s*s),m=i==="NHWC"?[o,d,c,h]:[o,h,d,c],f=t.makeOutput(m,"float32"),g=t.dataIdMap.get(r.dataId).id,b=new Uint8Array(new Int32Array(v.computeStrides(r.shape)).buffer),y=new Uint8Array(new Int32Array(m).buffer),x=new Uint8Array(new Int32Array(v.computeStrides(m)).buffer),w=t.dataIdMap.get(f.dataId).id;return TE(g,s,i==="NHWC"?1:0,b,r.shape.length-1,y,x,m.length,w),f}var xie={kernelName:Dl,backendName:"wasm",setupFunc:bie,kernelFunc:yie},NE;function vie(e){NE=e.wasm.cwrap(Ti,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function wie(e){let{inputs:t,attrs:n,backend:a}=e,{x:r,filter:s}=t,i=a.dataIdMap.get(r.dataId).id,o=a.dataIdMap.get(s.dataId).id,{strides:l,dilations:u,pad:p,dimRoundingMode:d}=n,c=u==null?[1,1]:u,h=N.computeConv2DInfo(r.shape,s.shape,l,c,p,d,!0),m=h.filterHeight,f=h.filterWidth,g=h.padInfo.top,b=h.padInfo.right,y=h.padInfo.bottom,x=h.padInfo.left,w=h.dilationHeight,I=h.dilationWidth,T=h.strideHeight,C=h.strideWidth,E=h.inChannels,A=h.outChannels,R=h.padInfo.type==="SAME"?1:0;if(h.dataFormat!=="channelsLast")throw new Error(`wasm backend DepthwiseConv2dNative does not support dataFormat:'${h.dataFormat}'. Please use 'channelsLast'.`);let F=a.makeOutput(h.outShape,"float32"),S=a.dataIdMap.get(F.dataId).id;return NE(i,r.shape[0],r.shape[1],r.shape[2],o,m,f,g,b,y,x,R,w,I,T,C,E,A,S),F}var kie={kernelName:Ti,backendName:"wasm",setupFunc:vie,kernelFunc:wie},Iie=nn(Ci),Sie=!1,Tie=pn(Ml,Sie,"bool"),Nie=nn(_i,"float32");function dx(e){let{inputs:t,attrs:n,backend:a}=e,{input:r}=t,{dim:s}=n,i=r.shape.length,o=r.shape.slice(),l=s;return s<0&&(v.assert(-(i+1)<=s,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),l=i+s+1),o.splice(l,0,1),zn({inputs:{x:r},backend:a,attrs:{shape:o}})}var Cie={kernelName:Pl,backendName:"wasm",kernelFunc:dx};function CE(e){let{attrs:{shape:t,value:n,dtype:a},backend:r}=e,s=r.makeOutput(t,a);return r.typedArrayFromHeap(s).fill(n),s}var _ie={kernelName:lc,backendName:"wasm",kernelFunc:CE},_E;function Eie(e){_E=e.wasm.cwrap(Ll,null,["number","number","number","number","number","number"])}function Aie(e){let{inputs:t,backend:n}=e,{image:a}=t,r=n.makeOutput(a.shape,a.dtype),s=n.dataIdMap.get(a.dataId).id,i=n.dataIdMap.get(r.dataId).id,[o,l,u,p]=a.shape;return _E(s,o,l,u,p,i),r}var $ie={kernelName:Ll,backendName:"wasm",kernelFunc:Aie,setupFunc:Eie},Fie=nn(Ei),Die=!1,Rie=pn(Ai,Die),EE;function Mie(e){EE=e.wasm.cwrap($i,null,["number","number","number","number","number","number","number"])}function Pie(e){let{backend:t,inputs:n,attrs:a}=e,{varianceEpsilon:r}=a,{x:s,mean:i,variance:o,offset:l,scale:u}=n,p=t.dataIdMap.get(s.dataId).id,d=t.dataIdMap.get(i.dataId).id,c=t.dataIdMap.get(o.dataId).id,h=l!=null?t.dataIdMap.get(l.dataId).id:0,m=u!=null?t.dataIdMap.get(u.dataId).id:0,f=t.makeOutput(s.shape,s.dtype);if(v.sizeFromShape(s.shape)===0)return f;let g=t.dataIdMap.get(f.dataId).id;return EE(p,d,c,h,m,r,g),f}var Oie={kernelName:$i,backendName:"wasm",setupFunc:Mie,kernelFunc:Pie},AE;function Lie(e){AE=e.wasm.cwrap(Qs,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function zie(e){let{inputs:t,attrs:n,backend:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dilations:p,dataFormat:d,dimRoundingMode:c,activation:h,leakyreluAlpha:m}=n,f=N.computeConv2DInfo(r.shape,s.shape,l,p,u,c),g=tc[h];if(g==null)throw new Error(`${h} activation not yet supported for FusedConv2D in the wasm backend.`);let b=a.dataIdMap.get(r.dataId).id,y=a.dataIdMap.get(s.dataId).id,x=f.outChannels,w=0;if(i!=null){let te=a.dataIdMap.get(i.dataId);if(te.shape.length!==1)throw new Error(`FusedConv2D only supports rank-1 bias but got rank ${te.shape.length}.`);if(te.shape[0]!==x)throw new Error(`FusedConv2D bias shape (${te.shape}) does not match the number of output channels (${x})`);w=te.id}let I=f.filterHeight,T=f.filterWidth,C=f.padInfo.top,E=f.padInfo.right,A=f.padInfo.bottom,R=f.padInfo.left,F=f.dilationHeight,S=f.dilationWidth,M=f.strideHeight,W=f.strideWidth,U=f.inChannels,G=f.padInfo.type==="SAME"?1:0,q=f.batchSize,K=f.inHeight,Z=f.inWidth;if(d!=="NHWC")throw new Error(`wasm backend FusedConv2D does not support dataFormat:'${d}'. Please use 'NHWC'.`);let Q=a.makeOutput(f.outShape,"float32"),ee=a.dataIdMap.get(Q.dataId).id,ae=o==null?0:a.dataIdMap.get(o.dataId).id;return AE(b,q,K,Z,y,I,T,w,C,E,A,R,G,F,S,M,W,U,x,g,ae,m||0,ee),Q}var Bie={kernelName:Qs,backendName:"wasm",setupFunc:Lie,kernelFunc:zie},$E;function Wie(e){$E=e.wasm.cwrap(ei,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function Vie(e){let{inputs:t,attrs:n,backend:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dilations:p,dataFormat:d,dimRoundingMode:c,activation:h,leakyreluAlpha:m}=n,f=N.computeConv2DInfo(r.shape,s.shape,l,p,u,c,!0),g=tc[h];if(g==null)throw new Error(`${h} activation not yet supported for FusedDepthwiseConv2D in the wasm backend.`);let b=a.dataIdMap.get(r.dataId).id,y=a.dataIdMap.get(s.dataId).id,x=f.outChannels,w=0;if(i!=null){let te=a.dataIdMap.get(i.dataId);if(te.shape.length!==1)throw new Error(`FusedDepthwiseConv2D only supports rank-1 bias but got rank ${te.shape.length}.`);if(te.shape[0]!==x)throw new Error(`FusedDepthwiseConv2D bias shape (${te.shape}) does not match the number of output channels (${x})`);w=te.id}let I=f.filterHeight,T=f.filterWidth,C=f.padInfo.top,E=f.padInfo.right,A=f.padInfo.bottom,R=f.padInfo.left,F=f.dilationHeight,S=f.dilationWidth,M=f.strideHeight,W=f.strideWidth,U=f.inChannels,G=f.padInfo.type==="SAME"?1:0,q=f.batchSize,K=f.inHeight,Z=f.inWidth;if(d!=="NHWC")throw new Error(`wasm backend FusedDepthwiseConv2D does not support dataFormat:'${d}'. Please use 'NHWC'.`);let Q=a.makeOutput(f.outShape,"float32"),ee=a.dataIdMap.get(Q.dataId).id,ae=o==null?0:a.dataIdMap.get(o.dataId).id;return $E(b,q,K,Z,y,I,T,w,C,E,A,R,G,F,S,M,W,U,x,g,ae,m||0,ee),Q}var Uie={kernelName:ei,backendName:"wasm",setupFunc:Wie,kernelFunc:Vie},FE;function Gie(e){FE=e.wasm.cwrap(Bl,null,["number","number","number","number","number","number","array","number"])}function Hie(e){let{backend:t,inputs:n}=e,{params:a,indices:r}=n,[s,i,o,l]=Dx.prepareAndValidate(a,r),u=t.makeOutput(s,a.dtype);if(i===0)return u;let p=r.shape,d=p[p.length-1],c=t.dataIdMap.get(a.dataId).id,h=t.dataIdMap.get(r.dataId).id,m=new Uint8Array(new Int32Array(l).buffer),f=t.dataIdMap.get(u.dataId).id;return FE(c,Et[a.dtype],h,i,d,o,m,f),u}var jie={kernelName:Bl,backendName:"wasm",setupFunc:Gie,kernelFunc:Hie},DE;function qie(e){DE=e.wasm.cwrap("Gather",null,["number","number","array","number","number","number","array","number"])}function Kie(e){let{backend:t,inputs:n,attrs:a}=e,{x:r,indices:s}=n,{axis:i,batchDims:o}=a,l=v.parseAxisParam(i,r.shape)[0],u=t.readSync(s.dataId),p=r.shape[l];for(let C=0;C=0,()=>`GatherV2: the index value ${E} is not in [0, ${p-1}]`)}let d=N.segment_util.collectGatherOpShapeInfo(r,s,l,o),c=zn({inputs:{x:r},attrs:{shape:[d.batchSize,d.outerSize,d.dimSize,d.sliceSize]},backend:t}),h=v.sizeFromShape(s.shape),m=zn({inputs:{x:s},attrs:{shape:[d.batchSize,h/d.batchSize]},backend:t}),f=[d.batchSize,d.outerSize,h/d.batchSize,d.sliceSize],g=t.makeOutput(f,r.dtype);if(v.sizeFromShape(r.shape)===0)return g;let b=c.shape.length-1,y=t.dataIdMap.get(c.dataId).id,x=t.dataIdMap.get(m.dataId).id,w=t.dataIdMap.get(g.dataId).id,I=new Uint8Array(new Int32Array(v.computeStrides(c.shape)).buffer),T=new Uint8Array(new Int32Array(v.computeStrides(f)).buffer);return DE(y,Et[r.dtype],I,b,x,d.batchSize,T,w),t.disposeData(c.dataId),t.disposeData(m.dataId),g.shape=d.outputShape,g}var Xie={kernelName:zl,backendName:"wasm",setupFunc:qie,kernelFunc:Kie},Yie=!1,Zie=pn(Wl,Yie,"bool"),Jie=!1,Qie=pn(Fi,Jie,"bool"),RE;function eoe(e){RE=e.wasm.cwrap(Ri,null,["number","number","number","number"])}function toe(e){let{inputs:{x:t},attrs:{alpha:n},backend:a}=e,r=a.dataIdMap.get(t.dataId).id,s=a.makeOutput(t.shape,"float32");if(v.sizeFromShape(t.shape)!==0){let i=a.dataIdMap.get(s.dataId).id;RE(r,Et[t.dtype],n,i)}return s}var noe={kernelName:Ri,backendName:"wasm",setupFunc:eoe,kernelFunc:toe},aoe=!1,roe=pn(Hl,aoe,"bool"),soe=!1,ioe=pn(jl,soe,"bool"),ooe=nn(Mi),loe=!1,uoe=pn(Kl,loe,"bool"),poe=nn(Xl),coe=!1,doe=pn(Yl,coe,"bool"),hoe=!1,moe=pn(CI,hoe,"bool"),ME;function foe(e){ME=e.wasm.cwrap(Pi,null,["number","number","number","number"])}function goe(e){let{backend:t,inputs:n,attrs:a}=e,{reductionIndices:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=i,{transposed:u,axes:p,originalAxes:d,inputWasTransposed:c}=Ss(i,r,t);if(c){let y=t.dataIdMap.get(u.dataId).id;l=u,o=y}let h=l.shape.length;N.assertAxesAreInnerMostDims("max",p,h);let[m,f]=N.computeOutAndReduceShapes(l.shape,p),g=v.sizeFromShape(f),b=t.makeOutput(m,i.dtype);if(v.sizeFromShape(l.shape)!==0){let y=t.dataIdMap.get(b.dataId).id;ME(o,Et[i.dtype],g,y)}if(c&&t.disposeData(u.dataId),s){let y=N.expandShapeToKeepDim(b.shape,d);b.shape=y}return b}var boe={kernelName:Pi,backendName:"wasm",setupFunc:foe,kernelFunc:goe},yoe=!1,xoe=pn(Oi,yoe),PE;function voe(e){PE=e.wasm.cwrap(Li,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function woe(e){let{inputs:t,attrs:n,backend:a}=e,r=t.x,s=a.dataIdMap.get(r.dataId).id;v.assert(r.dtype==="float32",()=>`Error in MaxPool: only float32 input is supported. Got ${r.dtype}.`);let{filterSize:i,strides:o,pad:l,dimRoundingMode:u}=n,p=N.computePool2DInfo(r.shape,i,o,1,l,u),d=p.filterHeight,c=p.filterWidth,h=p.padInfo.top,m=p.padInfo.right,f=p.padInfo.bottom,g=p.padInfo.left,b=p.dilationHeight,y=p.dilationWidth,x=p.strideHeight,w=p.strideWidth,I=p.inChannels,T=p.outChannels;if(p.dataFormat!=="channelsLast")throw new Error(`wasm backend does not support dataFormat:'${p.dataFormat}'. Please use 'channelsLast'.`);let C=a.makeOutput(p.outShape,"float32"),E=a.dataIdMap.get(C.dataId).id;return PE(s,r.shape[0],r.shape[1],r.shape[2],d,c,h,m,f,g,b,y,x,w,I,T,E),C}var koe={kernelName:Li,backendName:"wasm",setupFunc:voe,kernelFunc:woe},OE;function Ioe(e){OE=e.wasm.cwrap(zi,null,["number, number, number"])}function Soe(e){let{backend:t,inputs:n,attrs:a}=e,{axis:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:d,originalAxes:c,inputWasTransposed:h}=Ss(i,r,t),m=d;if(h){let w=t.dataIdMap.get(p.dataId).id;w!==o&&(u=p,l=w,m=N.getInnerMostAxes(m.length,u.shape.length))}N.assertAxesAreInnerMostDims("mean",m,u.shape.length);let[f,g]=N.computeOutAndReduceShapes(u.shape,m),b=v.sizeFromShape(g),y=u;u.dtype!=="float32"&&(y=Uu({backend:t,inputs:{x:u},attrs:{dtype:"float32"}}),l=t.dataIdMap.get(y.dataId).id);let x=t.makeOutput(f,"float32");if(v.sizeFromShape(u.shape)!==0){let w=t.dataIdMap.get(x.dataId).id;OE(l,b,w)}if(h&&t.disposeData(p.dataId),s){let w=N.expandShapeToKeepDim(x.shape,c);x.shape=w}return u.dtype!=="float32"&&t.disposeData(y.dataId),x}var Toe={kernelName:zi,backendName:"wasm",setupFunc:Ioe,kernelFunc:Soe},LE;function Noe(e){LE=e.wasm.cwrap(Bi,null,["number","number","number","number"])}function Coe(e){let{backend:t,inputs:n,attrs:a}=e,{axis:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:d,originalAxes:c,inputWasTransposed:h}=Ss(i,r,t);if(h){let x=t.dataIdMap.get(p.dataId).id;x!==o&&(u=p,l=x)}let m=u.shape.length;N.assertAxesAreInnerMostDims("min",d,m);let[f,g]=N.computeOutAndReduceShapes(u.shape,d),b=v.sizeFromShape(g),y=t.makeOutput(f,u.dtype);if(v.sizeFromShape(u.shape)!==0){let x=t.dataIdMap.get(y.dataId).id;LE(l,Et[i.dtype],b,x)}if(h&&t.disposeData(p.dataId),s){let x=N.expandShapeToKeepDim(y.shape,c);y.shape=x}return y}var _oe={kernelName:Bi,backendName:"wasm",setupFunc:Noe,kernelFunc:Coe},Eoe=!1,Aoe=pn(Wi,Eoe),hx;(function(e){e[e.reflect=0]="reflect",e[e.symmetric=1]="symmetric"})(hx||(hx={}));var zE;function $oe(e){zE=e.wasm.cwrap(Vi,null,["number","array","number","number","array","array","number","number"])}function Foe(e){let{inputs:{x:t},backend:n,attrs:{paddings:a,mode:r}}=e,s=a.map((m,f)=>m[0]+t.shape[f]+m[1]),i=n.dataIdMap.get(t.dataId).id,o=n.makeOutput(s,t.dtype),l=n.dataIdMap.get(o.dataId).id,u=new Uint8Array(new Int32Array(t.shape).buffer),p=a.map(m=>m[0]),d=a.map(m=>m[1]),c=new Uint8Array(new Int32Array(p).buffer),h=new Uint8Array(new Int32Array(d).buffer);return zE(i,u,t.shape.length,Et[t.dtype],c,h,hx[r],l),o}var Doe={kernelName:Vi,backendName:"wasm",kernelFunc:Foe,setupFunc:$oe},Roe=!0,Moe=pn(Ui,Roe),Poe=nn(Jl);function Z0(e,t){let n=new Int32Array(e.wasm.HEAPU8.buffer,t,4),a=n[0],r=n[1],s=n[2],i=n[3];return e.wasm._free(t),{pSelectedIndices:a,selectedSize:r,pSelectedScores:s,pValidOutputs:i}}var BE;function Ooe(e){BE=e.wasm.cwrap(eu,"number",["number","number","number","number","number"])}function Loe(e){let{backend:t,inputs:n,attrs:a}=e,{iouThreshold:r,maxOutputSize:s,scoreThreshold:i}=a,{boxes:o,scores:l}=n,u=t.dataIdMap.get(o.dataId).id,p=t.dataIdMap.get(l.dataId).id,d=BE(u,p,s,r,i),{pSelectedIndices:c,selectedSize:h,pSelectedScores:m,pValidOutputs:f}=Z0(t,d);return t.wasm._free(m),t.wasm._free(f),t.makeOutput([h],"int32",c)}var zoe={kernelName:eu,backendName:"wasm",setupFunc:Ooe,kernelFunc:Loe},WE;function Boe(e){WE=e.wasm.cwrap(tu,"number",["number","number","number","number","number","bool"])}function Woe(e){let{backend:t,inputs:n,attrs:a}=e,{iouThreshold:r,maxOutputSize:s,scoreThreshold:i,padToMaxOutputSize:o}=a,{boxes:l,scores:u}=n,p=t.dataIdMap.get(l.dataId).id,d=t.dataIdMap.get(u.dataId).id,c=WE(p,d,s,r,i,o),{pSelectedIndices:h,selectedSize:m,pSelectedScores:f,pValidOutputs:g}=Z0(t,c);t.wasm._free(f);let b=t.makeOutput([m],"int32",h),y=t.makeOutput([],"int32",g);return[b,y]}var Voe={kernelName:tu,backendName:"wasm",setupFunc:Boe,kernelFunc:Woe},VE;function Uoe(e){VE=e.wasm.cwrap(nu,"number",["number","number","number","number","number","number"])}function Goe(e){let{backend:t,inputs:n,attrs:a}=e,{iouThreshold:r,maxOutputSize:s,scoreThreshold:i,softNmsSigma:o}=a,{boxes:l,scores:u}=n,p=t.dataIdMap.get(l.dataId).id,d=t.dataIdMap.get(u.dataId).id,c=VE(p,d,s,r,i,o),{pSelectedIndices:h,selectedSize:m,pSelectedScores:f,pValidOutputs:g}=Z0(t,c);t.wasm._free(g);let b=t.makeOutput([m],"int32",h),y=t.makeOutput([m],"float32",f);return[b,y]}var Hoe={kernelName:nu,backendName:"wasm",setupFunc:Uoe,kernelFunc:Goe},joe=!1,qoe=pn(Ql,joe,"bool"),UE;function Koe(e){UE=e.wasm.cwrap(Gi,null,["number","number","number","number","number"])}function Xoe(e){let{inputs:t,backend:n,attrs:a}=e,{indices:r}=t,{dtype:s,depth:i,onValue:o,offValue:l}=a,u=n.makeOutput([...r.shape,i],s),p=n.dataIdMap.get(u.dataId).id,d=n.dataIdMap.get(r.dataId).id;return UE(d,i,o,l,p),u}var Yoe={kernelName:Gi,backendName:"wasm",setupFunc:Koe,kernelFunc:Xoe};function Zoe(e){let{inputs:{x:t},backend:n}=e,a=n.makeOutput(t.shape,t.dtype);return n.typedArrayFromHeap(a).fill(1),a}var Joe={kernelName:au,backendName:"wasm",kernelFunc:Zoe};function Qoe(e){let{inputs:t,backend:n,attrs:a}=e,{axis:r}=a;if(t.length===1)return dx({inputs:{input:t[0]},backend:n,attrs:{dim:r}});let s=t[0].shape,i=t[0].dtype;t.forEach(p=>{v.assertShapesMatch(s,p.shape,"All tensors passed to stack must have matching shapes"),v.assert(i===p.dtype,()=>"All tensors passed to stack must have matching dtypes")});let o=[],l=t.map(p=>{let d=dx({inputs:{input:p},backend:n,attrs:{dim:r}});return o.push(d),d}),u=xE({inputs:l,backend:n,attrs:{axis:r}});return o.forEach(p=>n.disposeData(p.dataId)),u}var ele={kernelName:ru,backendName:"wasm",kernelFunc:Qoe},GE;function tle(e){GE=e.wasm.cwrap(Hi,null,["number","array","number","number","array","array","number","number"])}function nle(e){let{inputs:{x:t},backend:n,attrs:{paddings:a,constantValue:r}}=e,s=a.map((m,f)=>m[0]+t.shape[f]+m[1]);if(v.sizeFromShape(t.shape)===0)return CE({backend:n,attrs:{shape:s,value:r,dtype:t.dtype}});let i=n.dataIdMap.get(t.dataId).id,o=n.makeOutput(s,t.dtype),l=n.dataIdMap.get(o.dataId).id,u=new Uint8Array(new Int32Array(t.shape).buffer),p=a.map(m=>m[0]),d=a.map(m=>m[1]),c=new Uint8Array(new Int32Array(p).buffer),h=new Uint8Array(new Int32Array(d).buffer);return GE(i,u,t.shape.length,Et[t.dtype],c,h,r,l),o}var HE={kernelName:Hi,backendName:"wasm",kernelFunc:nle,setupFunc:tle},ale=!1,rle=pn(ji,ale),jE;function sle(e){jE=e.wasm.cwrap(qi,null,["number","number","number"])}function ile(e){let{inputs:t,backend:n}=e,{x:a,alpha:r}=t,s=n.dataIdMap.get(a.dataId).id,i=n.dataIdMap.get(r.dataId).id,o=s,l=a,u=l;l.dtype!=="float32"&&(u=Uu({backend:n,inputs:{x:a},attrs:{dtype:"float32"}}),o=n.dataIdMap.get(u.dataId).id);let p=n.makeOutput(a.shape,"float32"),d=n.dataIdMap.get(p.dataId).id;return jE(o,i,d),l.dtype!=="float32"&&n.disposeData(u.dataId),p}var ole={kernelName:qi,backendName:"wasm",setupFunc:sle,kernelFunc:ile},qE;function lle(e){qE=e.wasm.cwrap(Ki,null,["number","number","number","number"])}function ule(e){let{backend:t,inputs:n,attrs:a}=e,{axis:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:d,originalAxes:c,inputWasTransposed:h}=Ss(i,r,t),m=d;if(h){let x=t.dataIdMap.get(p.dataId).id;x!==o&&(u=p,l=x,m=N.getInnerMostAxes(m.length,u.shape.length))}N.assertAxesAreInnerMostDims("prod",m,u.shape.length);let[f,g]=N.computeOutAndReduceShapes(u.shape,m),b=v.sizeFromShape(g),y=t.makeOutput(f,u.dtype);if(v.sizeFromShape(u.shape)!==0){let x=t.dataIdMap.get(y.dataId).id;qE(l,b,Et[y.dtype],x)}if(h&&t.disposeData(p.dataId),s){let x=N.expandShapeToKeepDim(y.shape,c);y.shape=x}return y}var ple={kernelName:Ki,backendName:"wasm",setupFunc:lle,kernelFunc:ule},cle=e=>{let{backend:t,attrs:n}=e,{start:a,stop:r,step:s,dtype:i}=n,o=_0(a,r,s,i),l=t.makeOutput([o.length],i);return t.typedArrayFromHeap(l).set(o),l},dle={kernelName:cc,backendName:"wasm",kernelFunc:cle},hle=!0,mle=pn(Ni,hle),fle=nn(Xi),gle=nn(Ji),KE;function ble(e){KE=e.wasm.cwrap(Zi,null,["number","number","number","number","number","number","number","number","number","number"])}function yle(e){let{backend:t,inputs:n,attrs:a}=e,{images:r}=n,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,u]=o,[p,d,c,h]=r.shape,m=[p,l,u,h],f=t.dataIdMap.get(r.dataId),g;f.dtype!=="float32"&&(g=Uu({backend:t,inputs:{x:r},attrs:{dtype:"float32"}}),f=t.dataIdMap.get(g.dataId));let b=f.id,y=t.makeOutput(m,"float32");if(v.sizeFromShape(r.shape)===0)return y;let x=t.dataIdMap.get(y.dataId).id;return KE(b,p,d,c,h,l,u,s?1:0,i?1:0,x),g!=null&&t.disposeData(g.dataId),y}var xle={kernelName:Zi,backendName:"wasm",setupFunc:ble,kernelFunc:yle},XE;function vle(e){XE=e.wasm.cwrap(Yi,null,["number","number","number","number","number","number","number","number","number","number"])}function wle(e){let{backend:t,inputs:n,attrs:a}=e,{images:r}=n,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,u]=o,[p,d,c,h]=r.shape,m=[p,l,u,h],f=t.makeOutput(m,"float32");if(v.sizeFromShape(r.shape)===0)return f;let g=t.dataIdMap.get(r.dataId),b;g.dtype!=="float32"&&(b=Uu({backend:t,inputs:{x:r},attrs:{dtype:"float32"}}),g=t.dataIdMap.get(b.dataId));let y=g.id,x=t.dataIdMap.get(f.dataId).id;return XE(y,p,d,c,h,l,u,s?1:0,i?1:0,x),b!=null&&t.disposeData(b.dataId),f}var kle={kernelName:Yi,backendName:"wasm",setupFunc:vle,kernelFunc:wle},YE;function Ile(e){YE=e.wasm.cwrap(Qi,null,["number","array","number","array","number","number"])}function Sle(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dims:s}=a,i=v.parseAxisParam(s,r.shape);if(r.shape.length===0)return Pf({inputs:{x:r},backend:n});let o=n.makeOutput(r.shape,r.dtype),l=n.dataIdMap.get(r.dataId).id,u=n.dataIdMap.get(o.dataId).id,p=new Uint8Array(new Int32Array(i).buffer),d=new Uint8Array(new Int32Array(r.shape).buffer);YE(l,p,i.length,d,r.shape.length,u);let c=zn({inputs:{x:o},attrs:{shape:r.shape},backend:n});return n.disposeData(o.dataId),c}var Tle={kernelName:Qi,backendName:"wasm",kernelFunc:Sle,setupFunc:Ile},ZE;function Nle(e){ZE=e.wasm.cwrap(ku,null,["number","number","number","number","number","number","number","number","array","number","number"])}function Cle(e){let{inputs:t,backend:n,attrs:a}=e,{image:r}=t,{radians:s,fillValue:i,center:o}=a,l=n.makeOutput(r.shape,r.dtype),u=n.dataIdMap.get(r.dataId).id,p=n.dataIdMap.get(l.dataId).id,[d,c,h,m]=r.shape,[f,g]=N.getImageCenter(o,c,h),b=i===0,y=255,x=typeof i=="number"?[i,i,i,b?0:y]:[...i,y],w=new Uint8Array(new Int32Array(x).buffer);return ZE(u,d,c,h,m,s,f,g,w,x.length,p),l}var _le={kernelName:ku,backendName:"wasm",kernelFunc:Cle,setupFunc:Nle},Ele=nn(eo),Ale=nn(to),JE;function $le(e){JE=e.wasm.cwrap(ou,null,["number","number","number","number","number","number","array","number","number"])}function Fle(e){let{backend:t,inputs:n,attrs:a}=e,{indices:r,updates:s}=n,{shape:i}=a,o=t.makeOutput(i,s.dtype);if(v.sizeFromShape(i)===0)return o;let{sliceRank:l,numUpdates:u,sliceSize:p,strides:d,outputSize:c}=Rx.calculateShapes(s,r,i),h=t.dataIdMap.get(r.dataId).id,m=t.dataIdMap.get(s.dataId).id,f=new Uint8Array(new Int32Array(d).buffer),g=t.dataIdMap.get(o.dataId).id;return JE(h,m,Et[s.dtype],l,u,p,f,c,g),o}var Dle={kernelName:ou,backendName:"wasm",setupFunc:$le,kernelFunc:Fle},QE;function Rle(e){QE=e.wasm.cwrap("SelectV2",null,["number","number","number","number","number"])}function Mle(e){let{inputs:t,backend:n}=e,{condition:a,t:r,e:s}=t,i=n.dataIdMap.get(a.dataId).id,o=n.dataIdMap.get(r.dataId).id,l=n.dataIdMap.get(s.dataId).id,u=n.makeOutput(r.shape,r.dtype),p=n.dataIdMap.get(u.dataId).id,d=a.shape.length,c=r.shape.length,h=d===0||d>1||c===1?1:v.sizeFromShape(r.shape.slice(1));return QE(i,o,l,h,p),u}var Ple={kernelName:lu,backendName:"wasm",kernelFunc:Mle,setupFunc:Rle},eA;function Ole(e){eA=e.wasm.cwrap(ao,null,["number","number"])}function Lle(e){let{backend:t,inputs:{x:n}}=e,a=t.dataIdMap.get(n.dataId).id,r=t.makeOutput(n.shape,n.dtype),s=t.dataIdMap.get(r.dataId).id;return v.sizeFromShape(r.shape)===0||eA(a,s),r}var zle={kernelName:"Sigmoid",backendName:"wasm",setupFunc:Ole,kernelFunc:Lle},Ble=nn(no),tA;function Wle(e){tA=e.wasm.cwrap(io,null,["number","number","number","number"])}function Vle(e){let{backend:t,inputs:{logits:n},attrs:{dim:a}}=e,r=t.dataIdMap.get(n.dataId).id,s=t.makeOutput(n.shape,n.dtype),i=t.dataIdMap.get(s.dataId).id,o=n.shape[a],l=v.sizeFromShape(n.shape)/o;return v.sizeFromShape(s.shape)===0||tA(r,i,o,l),s}var Ule={kernelName:io,backendName:"wasm",setupFunc:Wle,kernelFunc:Vle};function Gle(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockShape:s,paddings:i}=a,o=v.sizeFromShape(s),l=[[0,0]];l.push(...i);for(let g=1+s.length;g{let A=w.shape[0],R=w.shape[1],F=N.segment_util.segOpComputeOptimalWindowSize(R,E),S={windowSize:F,inSize:R,batchSize:A,numSegments:E},M=new Tse(S,I),B=n.compileAndRun(M,[w,T],C);if(l.push(B),B.shape[1]===E)return B;let U=fE({backend:n,attrs:{start:0,stop:E,step:1,dtype:"float32"}}),G=bE({inputs:{x:U},backend:n,attrs:{reps:[R/F]}});return l.push(U),l.push(G),g(B,I,G,C,E)},b=g(m,"unsortedSegmentSum",s,f,i),y=de({inputs:{x:b},backend:n,attrs:{shape:c}}),x=y;if(p!=null){l.push(y);let w=N.getUndoAxesPermutation(p);x=In({inputs:{x},backend:n,attrs:{perm:w}})}return l.forEach(w=>n.disposeIntermediateTensorInfo(w)),x}var Cse={kernelName:wc,backendName:"webgl",kernelFunc:Nse},_se=[IJ,TJ,_J,$J,DJ,PJ,LJ,WJ,GJ,jJ,XJ,JJ,t9,s9,l9,p9,d9,g9,y9,v9,S9,$9,D9,M9,B9,U9,q9,iJ,Y9,tQ,sQ,cQ,hQ,fQ,bQ,xQ,kQ,TQ,_Q,AQ,FQ,RQ,OQ,zQ,UQ,HQ,KQ,ZQ,QQ,aee,oee,cee,mee,bee,yee,vee,kee,See,Nee,_ee,Fee,Mee,Lee,Wee,Uee,jee,Yee,ete,sJ,nte,Q9,ste,lte,cte,lJ,fte,xte,wte,Tte,_te,Fte,Mte,zte,Ute,jte,Kte,Jte,ene,nne,ine,lne,pne,dne,mne,yne,kne,Nne,Rne,cJ,Lne,Bne,Gne,qne,O9,Yne,Jne,eae,aae,oae,pJ,uae,cae,hae,fae,gae,L9,Ane,xae,Iae,Cae,hJ,$ae,Rae,Lae,Bae,Hae,qae,Yae,Qae,tre,rre,ore,pre,mre,bre,vre,Ire,E9,Fne,Nre,_re,Are,Fre,Rre,Pre,Lre,Wre,Vre,Hre,qre,Xre,Jre,ese,nse,rse,$ne,vJ,ose,pse,hse,bse,vse,wJ,kse,Sse,Cse,Zne];for(let e of _se)kc(e);var Et;(function(e){e[e.float32=0]="float32",e[e.int32=1]="int32",e[e.bool=2]="bool",e[e.string=3]="string",e[e.complex64=4]="complex64"})(Et||(Et={}));var ac;(function(e){e[e.linear=0]="linear",e[e.relu=1]="relu",e[e.relu6=2]="relu6",e[e.prelu=3]="prelu",e[e.leakyrelu=4]="leakyrelu",e[e.sigmoid=5]="sigmoid",e[e.elu=6]="elu"})(ac||(ac={}));var yE;function Ese(e){yE=e.wasm.cwrap(Js,null,["number","array","number","number","array","number","number","number","number","number","number","number","number"])}function Ase(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s,bias:i,preluActivationWeights:o}=t;if(r.dtype!=="float32"||s.dtype!=="float32")throw new Error("_FusedMatMul for non non-float32 tensors not yet supported.");let{transposeA:l,transposeB:u,activation:p,leakyreluAlpha:d}=a,c=n.dataIdMap.get(r.dataId).id,h=n.dataIdMap.get(s.dataId).id,m=0;if(i!=null){let E=n.dataIdMap.get(i.dataId);if(E.shape.length!==1)throw new Error(`_FusedMatMul only supports rank-1 bias but got rank ${E.shape.length}.`);m=E.id}let f=o==null?0:n.dataIdMap.get(o.dataId).id,g=ac[p];if(g==null)throw new Error(`${p} activation not yet supported for FusedConv2D in the wasm backend.`);let b=l?r.shape[2]:r.shape[1],y=u?s.shape[1]:s.shape[2],x=Tu.assertAndGetBroadcastShape(r.shape.slice(0,-2),s.shape.slice(0,-2)),w=n.makeOutput([...x,b,y],r.dtype),I=n.dataIdMap.get(w.dataId).id,T=new Uint8Array(new Int32Array(r.shape).buffer),C=new Uint8Array(new Int32Array(s.shape).buffer);return yE(c,T,r.shape.length,h,C,s.shape.length,l,u,g,m,f,d||0,I),w}var $se={kernelName:Js,backendName:"wasm",setupFunc:Ese,kernelFunc:Ase};function an(e,t){let n;function a(s){n=s.wasm.cwrap(e,null,["number","number","number"])}function r(s){let{backend:i,inputs:{x:o}}=s,l=i.dataIdMap.get(o.dataId).id,u=i.makeOutput(o.shape,t||o.dtype),p=i.dataIdMap.get(u.dataId).id;return v.sizeFromShape(u.shape)===0||n(l,Et[o.dtype],p),u}return{kernelName:e,backendName:"wasm",setupFunc:a,kernelFunc:r}}var Fse=an(wl);function cn(e,t,n){let a;function r(i){a=i.wasm.cwrap(e,null,["number","array","number","number","array","number","number","number"])}function s(i){let{backend:o,inputs:l}=i,{a:u,b:p}=l,d=o.dataIdMap.get(u.dataId).id,c=o.dataIdMap.get(p.dataId).id,h=n!=null?n:u.dtype,m=N.assertAndGetBroadcastShape(u.shape,p.shape),f=o.makeOutput(m,h);if(v.sizeFromShape(m)===0)return f;let g=new Uint8Array(new Int32Array(u.shape).buffer),b=new Uint8Array(new Int32Array(p.shape).buffer),y=o.dataIdMap.get(f.dataId).id;return a(d,g,u.shape.length,c,b,p.shape.length,Et[u.dtype],y),f}return{kernelName:e,backendName:"wasm",setupFunc:r,kernelFunc:s}}var Dse=!0,Rse=cn(cs,Dse),xE;function Mse(e){xE=e.wasm.cwrap(mi,null,["array","number","number","number"])}function Pse(e){let{inputs:t,backend:n}=e,a=n.makeOutput(t[0].shape,t[0].dtype);if(v.sizeFromShape(a.shape)===0)return a;let r=t.map(o=>n.dataIdMap.get(o.dataId).id),s=new Uint8Array(new Int32Array(r).buffer),i=n.dataIdMap.get(a.dataId).id;return xE(s,r.length,Et[a.dtype],i),a}var Ose={kernelName:mi,backendName:"wasm",setupFunc:Mse,kernelFunc:Pse};function Lf(e){let{inputs:{x:t},backend:n}=e;if(t.dtype==="string")return kn(n.readSync(t.dataId),t.shape,t.dtype);let a=n.makeOutput(t.shape,t.dtype),r=n.typedArrayFromHeap(t);return n.typedArrayFromHeap(a).set(r),a}var Lse={kernelName:Di,backendName:"wasm",kernelFunc:Lf},vE;function zse(e){vE=e.wasm.cwrap(Tr,null,["number","array","number","number","number","array","number"])}function ls(e){let{inputs:t,backend:n,attrs:a}=e,[r,s]=Bse(t.x.shape,a.perm),i=!0;for(let m=0;m=r&&(s===-1||a[s]>a[i])&&(s=i);a[s]=r}return[n,a]}var Vse={kernelName:Tr,backendName:"wasm",kernelFunc:ls,setupFunc:zse};function Ss(e,t,n){let a=e.shape,r=e.shape.length,s=v.parseAxisParam(t,a),i=s,o=N.getAxesPermutation(i,r),l=null,u=!1;if(o!=null){let p=new Array(r);for(let c=0;c`new shape: ${i}, old shape: ${a.shape}. New shape and old shape must have the same number of elements.`),e.backend.incRef(a.dataId),{dataId:a.dataId,shape:i,dtype:a.dtype}}var tie={kernelName:lu,backendName:"wasm",kernelFunc:Wn},TE;function nie(e){TE=e.wasm.cwrap(bi,null,["number","array","number","number","array","number","number","number","number"])}function aie(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s}=t,{transposeA:i,transposeB:o}=a;if(r.dtype!=="float32"||s.dtype!=="float32")throw new Error("BatchMatMul for non non-float32 tensors not yet supported.");let l=r.shape.length,u=s.shape.length,p=i?r.shape[l-2]:r.shape[l-1],d=o?s.shape[u-1]:s.shape[u-2],c=i?r.shape[l-1]:r.shape[l-2],h=o?s.shape[u-2]:s.shape[u-1],m=r.shape.slice(0,-2),f=s.shape.slice(0,-2),g=v.sizeFromShape(m),b=v.sizeFromShape(f),y=Tu.assertAndGetBroadcastShape(r.shape.slice(0,-2),s.shape.slice(0,-2)).concat([c,h]);v.assert(p===d,()=>`Error in matMul: inner shapes (${p}) and (${d}) of Tensors with shapes ${r.shape} and ${s.shape} and transposeA=${i} and transposeB=${o} must match.`);let x=i?[g,p,c]:[g,c,p],w=o?[b,h,d]:[b,d,h],I=Wn({inputs:{x:r},backend:n,attrs:{shape:x}}),T=Wn({inputs:{x:s},backend:n,attrs:{shape:w}}),C=n.dataIdMap.get(I.dataId).id,E=n.dataIdMap.get(T.dataId).id,A=i?I.shape[2]:I.shape[1],R=o?T.shape[1]:T.shape[2],F=Math.max(g,b),S=n.makeOutput([F,A,R],I.dtype),M=n.dataIdMap.get(S.dataId).id,B=new Uint8Array(new Int32Array(I.shape).buffer),U=new Uint8Array(new Int32Array(T.shape).buffer);return TE(C,B,I.shape.length,E,U,T.shape.length,i,o,M),n.disposeData(I.dataId),n.disposeData(T.dataId),S.shape=y,S}var rie={kernelName:bi,backendName:"wasm",setupFunc:nie,kernelFunc:aie};function di(e){let{inputs:{x:t},attrs:{begin:n,size:a},backend:r}=e,[s,i]=jt.parseSliceParams(t,n,a),o=jt.isSliceContinous(t.shape,s,i),l=r.readSync(t.dataId),u=r.makeOutput(i,t.dtype),p=v.computeStrides(t.shape),d=r.dataIdMap.get(u.dataId);if(o){let m=jt.computeFlatOffset(s,p);return t.dtype==="string"?d.stringBytes=l.slice(m,m+v.sizeFromShape(i)):r.typedArrayFromHeap(u).set(l.subarray(m,m+v.sizeFromShape(i))),u}if(t.dtype==="string"){let m=Oh(l,s,i,t.shape,t.dtype);return d.stringBytes=m,u}let c=r.typedArrayFromHeap(u),h=t.shape.length;if(h===2)sie(l,p[0],c,s,i);else if(h===3)iie(l,p[0],p[1],c,s,i);else if(h===4)oie(l,p[0],p[1],p[2],c,s,i);else{let m=Oh(l,s,i,t.shape,t.dtype);c.set(m)}return u}function sie(e,t,n,a,r){let s=0,i=a[0],o=a[1],l=i+r[0];for(let u=i;ub*y),l=N.getReshaped(r.shape,s,o),u=N.getPermuted(l.length,s.length),p=N.getReshapedPermuted(r.shape,s,o),d=N.getSliceBeginCoords(i,s.length),c=N.getSliceSize(p,i,s.length),h=Wn({inputs:{x:r},backend:n,attrs:{shape:l}}),m=ls({inputs:{x:h},backend:n,attrs:{perm:u}}),f=Wn({inputs:{x:m},backend:n,attrs:{shape:p}}),g=di({inputs:{x:f},backend:n,attrs:{begin:d,size:c}});return n.disposeData(h.dataId),n.disposeData(m.dataId),n.disposeData(h.dataId),g}var pie={kernelName:$l,backendName:"wasm",kernelFunc:uie};function Hu(e){let{inputs:{x:t},attrs:{dtype:n},backend:a}=e,r=a.makeOutput(t.shape,n),s=a.typedArrayFromHeap(t);return a.typedArrayFromHeap(r).set(s),r}var cie={kernelName:yi,backendName:"wasm",kernelFunc:Hu},die=an(xi),NE;function hie(e){NE=e.wasm.cwrap(ds,null,["number","number","number","number"])}function mie(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{clipValueMin:s,clipValueMax:i}=a,o=n.dataIdMap.get(r.dataId).id,l=n.makeOutput(r.shape,r.dtype),u=n.dataIdMap.get(l.dataId).id;return NE(o,s,i,u),l}var fie={kernelName:ds,backendName:"wasm",setupFunc:hie,kernelFunc:mie};function CE(e){let{inputs:t,backend:n}=e,a=v.parseAxisParam(e.attrs.axis,t[0].shape)[0],r=t.map(h=>h.shape);N.assertParamsConsistent(r,a);let s=N.computeOutShape(t.map(h=>h.shape),a),i=t.filter(h=>v.sizeFromShape(h.shape)>0);if(i.length===1)return Lf({inputs:{x:i[0]},backend:n});let o=n.makeOutput(s,t[0].dtype);if(v.sizeFromShape(s)===0)return o;if(i[0].dtype==="string"){let h=i.map(x=>{let w=v.sizeFromShape(x.shape.slice(a));return Wn({inputs:{x},backend:n,attrs:{shape:[-1,w]}})}),m=h.map(x=>({vals:n.readSync(x.dataId),shape:x.shape}));s=N.computeOutShape(h.map(x=>x.shape),1);let f=h[0].shape[0]===1,g=E0(m,s,t[0].dtype,f),b=N.computeOutShape(i.map(x=>x.shape),a);o.shape=b;let y=n.dataIdMap.get(o.dataId);return y.stringBytes=N.fromStringArrayToUint8(g),h.forEach(x=>n.disposeData(x.dataId)),o}let l=v.sizeFromShape(i[0].shape.slice(0,a)),u=0,p=i.map(h=>{let m=v.sizeFromShape(h.shape.slice(a));return u+=m,m}),d=i.map(h=>n.typedArrayFromHeap(h)),c=n.typedArrayFromHeap(o);for(let h=0;h`cumprod does not support ${r.dtype} tensors in the WASM backend`);let u=N.getAxesPermutation([s],l),p=r;u!==null&&(p=ls({inputs:{x:r},attrs:{perm:u},backend:n}));let d=N.getInnerMostAxes(1,l)[0];N.assertAxesAreInnerMostDims("cumprod",[d],l);let c=n.makeOutput(p.shape,p.dtype),h=p.shape[d],m=n.dataIdMap.get(p.dataId).id,f=n.dataIdMap.get(c.dataId).id;$E(m,i?1:0,o?1:0,h,f,Et[r.dtype]);let g=c;if(u!==null){let b=N.getUndoAxesPermutation(u);g=ls({inputs:{x:c},attrs:{perm:b},backend:n}),n.disposeData(p.dataId),n.disposeData(c.dataId)}return g}var Aie={kernelName:Dl,backendName:"wasm",setupFunc:_ie,kernelFunc:Eie},FE;function $ie(e){FE=e.wasm.cwrap(Si,null,["number","number","number","number","number","number"])}function Fie(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=a,l=r.shape.length;v.assert(r.dtype==="float32"||r.dtype==="int32",()=>`cumsum does not support ${r.dtype} tensors in the WASM backend`);let u=N.getAxesPermutation([s],l),p=r;u!==null&&(p=ls({inputs:{x:r},attrs:{perm:u},backend:n}));let d=N.getInnerMostAxes(1,l)[0];N.assertAxesAreInnerMostDims("cumsum",[d],l);let c=n.makeOutput(p.shape,p.dtype),h=p.shape[d],m=n.dataIdMap.get(p.dataId).id,f=n.dataIdMap.get(c.dataId).id;FE(m,i?1:0,o?1:0,h,f,Et[r.dtype]);let g=c;if(u!==null){let b=N.getUndoAxesPermutation(u);g=ls({inputs:{x:c},attrs:{perm:b},backend:n}),n.disposeData(p.dataId),n.disposeData(c.dataId)}return g}var Die={kernelName:Si,backendName:"wasm",setupFunc:$ie,kernelFunc:Fie},DE;function Rie(e){DE=e.wasm.cwrap(Ml,null,["number","number","number","array","number","array","array","number","number"])}function Mie(e){let{backend:t,inputs:n,attrs:a}=e,{x:r}=n,{blockSize:s,dataFormat:i}=a,o=r.shape[0],l=i==="NHWC"?r.shape[1]:r.shape[2],u=i==="NHWC"?r.shape[2]:r.shape[3],p=i==="NHWC"?r.shape[3]:r.shape[1],d=l*s,c=u*s,h=p/(s*s),m=i==="NHWC"?[o,d,c,h]:[o,h,d,c],f=t.makeOutput(m,"float32"),g=t.dataIdMap.get(r.dataId).id,b=new Uint8Array(new Int32Array(v.computeStrides(r.shape)).buffer),y=new Uint8Array(new Int32Array(m).buffer),x=new Uint8Array(new Int32Array(v.computeStrides(m)).buffer),w=t.dataIdMap.get(f.dataId).id;return DE(g,s,i==="NHWC"?1:0,b,r.shape.length-1,y,x,m.length,w),f}var Pie={kernelName:Ml,backendName:"wasm",setupFunc:Rie,kernelFunc:Mie},RE;function Oie(e){RE=e.wasm.cwrap(Ti,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function Lie(e){let{inputs:t,attrs:n,backend:a}=e,{x:r,filter:s}=t,i=a.dataIdMap.get(r.dataId).id,o=a.dataIdMap.get(s.dataId).id,{strides:l,dilations:u,pad:p,dimRoundingMode:d}=n,c=u==null?[1,1]:u,h=N.computeConv2DInfo(r.shape,s.shape,l,c,p,d,!0),m=h.filterHeight,f=h.filterWidth,g=h.padInfo.top,b=h.padInfo.right,y=h.padInfo.bottom,x=h.padInfo.left,w=h.dilationHeight,I=h.dilationWidth,T=h.strideHeight,C=h.strideWidth,E=h.inChannels,A=h.outChannels,R=h.padInfo.type==="SAME"?1:0;if(h.dataFormat!=="channelsLast")throw new Error(`wasm backend DepthwiseConv2dNative does not support dataFormat:'${h.dataFormat}'. Please use 'channelsLast'.`);let F=a.makeOutput(h.outShape,"float32"),S=a.dataIdMap.get(F.dataId).id;return RE(i,r.shape[0],r.shape[1],r.shape[2],o,m,f,g,b,y,x,R,w,I,T,C,E,A,S),F}var zie={kernelName:Ti,backendName:"wasm",setupFunc:Oie,kernelFunc:Lie},Wie=an(Ci),Bie=!1,Vie=cn(Ol,Bie,"bool"),Uie=an(_i,"float32");function mx(e){let{inputs:t,attrs:n,backend:a}=e,{input:r}=t,{dim:s}=n,i=r.shape.length,o=r.shape.slice(),l=s;return s<0&&(v.assert(-(i+1)<=s,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),l=i+s+1),o.splice(l,0,1),Wn({inputs:{x:r},backend:a,attrs:{shape:o}})}var Gie={kernelName:Ll,backendName:"wasm",kernelFunc:mx};function ME(e){let{attrs:{shape:t,value:n,dtype:a},backend:r}=e,s=r.makeOutput(t,a);return r.typedArrayFromHeap(s).fill(n),s}var Hie={kernelName:pc,backendName:"wasm",kernelFunc:ME},PE;function jie(e){PE=e.wasm.cwrap(Wl,null,["number","number","number","number","number","number"])}function qie(e){let{inputs:t,backend:n}=e,{image:a}=t,r=n.makeOutput(a.shape,a.dtype),s=n.dataIdMap.get(a.dataId).id,i=n.dataIdMap.get(r.dataId).id,[o,l,u,p]=a.shape;return PE(s,o,l,u,p,i),r}var Kie={kernelName:Wl,backendName:"wasm",kernelFunc:qie,setupFunc:jie},Xie=an(Ei),Yie=!1,Zie=cn(Ai,Yie),OE;function Jie(e){OE=e.wasm.cwrap($i,null,["number","number","number","number","number","number","number"])}function Qie(e){let{backend:t,inputs:n,attrs:a}=e,{varianceEpsilon:r}=a,{x:s,mean:i,variance:o,offset:l,scale:u}=n,p=t.dataIdMap.get(s.dataId).id,d=t.dataIdMap.get(i.dataId).id,c=t.dataIdMap.get(o.dataId).id,h=l!=null?t.dataIdMap.get(l.dataId).id:0,m=u!=null?t.dataIdMap.get(u.dataId).id:0,f=t.makeOutput(s.shape,s.dtype);if(v.sizeFromShape(s.shape)===0)return f;let g=t.dataIdMap.get(f.dataId).id;return OE(p,d,c,h,m,r,g),f}var eoe={kernelName:$i,backendName:"wasm",setupFunc:Jie,kernelFunc:Qie},LE;function toe(e){LE=e.wasm.cwrap(Qs,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function noe(e){let{inputs:t,attrs:n,backend:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dilations:p,dataFormat:d,dimRoundingMode:c,activation:h,leakyreluAlpha:m}=n,f=N.computeConv2DInfo(r.shape,s.shape,l,p,u,c),g=ac[h];if(g==null)throw new Error(`${h} activation not yet supported for FusedConv2D in the wasm backend.`);let b=a.dataIdMap.get(r.dataId).id,y=a.dataIdMap.get(s.dataId).id,x=f.outChannels,w=0;if(i!=null){let te=a.dataIdMap.get(i.dataId);if(te.shape.length!==1)throw new Error(`FusedConv2D only supports rank-1 bias but got rank ${te.shape.length}.`);if(te.shape[0]!==x)throw new Error(`FusedConv2D bias shape (${te.shape}) does not match the number of output channels (${x})`);w=te.id}let I=f.filterHeight,T=f.filterWidth,C=f.padInfo.top,E=f.padInfo.right,A=f.padInfo.bottom,R=f.padInfo.left,F=f.dilationHeight,S=f.dilationWidth,M=f.strideHeight,B=f.strideWidth,U=f.inChannels,G=f.padInfo.type==="SAME"?1:0,q=f.batchSize,K=f.inHeight,Z=f.inWidth;if(d!=="NHWC")throw new Error(`wasm backend FusedConv2D does not support dataFormat:'${d}'. Please use 'NHWC'.`);let Q=a.makeOutput(f.outShape,"float32"),ee=a.dataIdMap.get(Q.dataId).id,ae=o==null?0:a.dataIdMap.get(o.dataId).id;return LE(b,q,K,Z,y,I,T,w,C,E,A,R,G,F,S,M,B,U,x,g,ae,m||0,ee),Q}var aoe={kernelName:Qs,backendName:"wasm",setupFunc:toe,kernelFunc:noe},zE;function roe(e){zE=e.wasm.cwrap(ei,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function soe(e){let{inputs:t,attrs:n,backend:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dilations:p,dataFormat:d,dimRoundingMode:c,activation:h,leakyreluAlpha:m}=n,f=N.computeConv2DInfo(r.shape,s.shape,l,p,u,c,!0),g=ac[h];if(g==null)throw new Error(`${h} activation not yet supported for FusedDepthwiseConv2D in the wasm backend.`);let b=a.dataIdMap.get(r.dataId).id,y=a.dataIdMap.get(s.dataId).id,x=f.outChannels,w=0;if(i!=null){let te=a.dataIdMap.get(i.dataId);if(te.shape.length!==1)throw new Error(`FusedDepthwiseConv2D only supports rank-1 bias but got rank ${te.shape.length}.`);if(te.shape[0]!==x)throw new Error(`FusedDepthwiseConv2D bias shape (${te.shape}) does not match the number of output channels (${x})`);w=te.id}let I=f.filterHeight,T=f.filterWidth,C=f.padInfo.top,E=f.padInfo.right,A=f.padInfo.bottom,R=f.padInfo.left,F=f.dilationHeight,S=f.dilationWidth,M=f.strideHeight,B=f.strideWidth,U=f.inChannels,G=f.padInfo.type==="SAME"?1:0,q=f.batchSize,K=f.inHeight,Z=f.inWidth;if(d!=="NHWC")throw new Error(`wasm backend FusedDepthwiseConv2D does not support dataFormat:'${d}'. Please use 'NHWC'.`);let Q=a.makeOutput(f.outShape,"float32"),ee=a.dataIdMap.get(Q.dataId).id,ae=o==null?0:a.dataIdMap.get(o.dataId).id;return zE(b,q,K,Z,y,I,T,w,C,E,A,R,G,F,S,M,B,U,x,g,ae,m||0,ee),Q}var ioe={kernelName:ei,backendName:"wasm",setupFunc:roe,kernelFunc:soe},WE;function ooe(e){WE=e.wasm.cwrap(Vl,null,["number","number","number","number","number","number","array","number"])}function loe(e){let{backend:t,inputs:n}=e,{params:a,indices:r}=n,[s,i,o,l]=Mx.prepareAndValidate(a,r),u=t.makeOutput(s,a.dtype);if(i===0)return u;let p=r.shape,d=p[p.length-1],c=t.dataIdMap.get(a.dataId).id,h=t.dataIdMap.get(r.dataId).id,m=new Uint8Array(new Int32Array(l).buffer),f=t.dataIdMap.get(u.dataId).id;return WE(c,Et[a.dtype],h,i,d,o,m,f),u}var uoe={kernelName:Vl,backendName:"wasm",setupFunc:ooe,kernelFunc:loe},BE;function poe(e){BE=e.wasm.cwrap("Gather",null,["number","number","array","number","number","number","array","number"])}function coe(e){let{backend:t,inputs:n,attrs:a}=e,{x:r,indices:s}=n,{axis:i,batchDims:o}=a,l=v.parseAxisParam(i,r.shape)[0],u=t.readSync(s.dataId),p=r.shape[l];for(let C=0;C=0,()=>`GatherV2: the index value ${E} is not in [0, ${p-1}]`)}let d=N.segment_util.collectGatherOpShapeInfo(r,s,l,o),c=Wn({inputs:{x:r},attrs:{shape:[d.batchSize,d.outerSize,d.dimSize,d.sliceSize]},backend:t}),h=v.sizeFromShape(s.shape),m=Wn({inputs:{x:s},attrs:{shape:[d.batchSize,h/d.batchSize]},backend:t}),f=[d.batchSize,d.outerSize,h/d.batchSize,d.sliceSize],g=t.makeOutput(f,r.dtype);if(v.sizeFromShape(r.shape)===0)return g;let b=c.shape.length-1,y=t.dataIdMap.get(c.dataId).id,x=t.dataIdMap.get(m.dataId).id,w=t.dataIdMap.get(g.dataId).id,I=new Uint8Array(new Int32Array(v.computeStrides(c.shape)).buffer),T=new Uint8Array(new Int32Array(v.computeStrides(f)).buffer);return BE(y,Et[r.dtype],I,b,x,d.batchSize,T,w),t.disposeData(c.dataId),t.disposeData(m.dataId),g.shape=d.outputShape,g}var doe={kernelName:Bl,backendName:"wasm",setupFunc:poe,kernelFunc:coe},hoe=!1,moe=cn(Ul,hoe,"bool"),foe=!1,goe=cn(Fi,foe,"bool"),VE;function boe(e){VE=e.wasm.cwrap(Ri,null,["number","number","number","number"])}function yoe(e){let{inputs:{x:t},attrs:{alpha:n},backend:a}=e,r=a.dataIdMap.get(t.dataId).id,s=a.makeOutput(t.shape,"float32");if(v.sizeFromShape(t.shape)!==0){let i=a.dataIdMap.get(s.dataId).id;VE(r,Et[t.dtype],n,i)}return s}var xoe={kernelName:Ri,backendName:"wasm",setupFunc:boe,kernelFunc:yoe},voe=!1,woe=cn(ql,voe,"bool"),koe=!1,Ioe=cn(Kl,koe,"bool"),Soe=an(Mi),Toe=!1,Noe=cn(Yl,Toe,"bool"),Coe=an(Zl),_oe=!1,Eoe=cn(Jl,_oe,"bool"),Aoe=!1,$oe=cn(RI,Aoe,"bool"),UE;function Foe(e){UE=e.wasm.cwrap(Pi,null,["number","number","number","number"])}function Doe(e){let{backend:t,inputs:n,attrs:a}=e,{reductionIndices:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=i,{transposed:u,axes:p,originalAxes:d,inputWasTransposed:c}=Ss(i,r,t);if(c){let y=t.dataIdMap.get(u.dataId).id;l=u,o=y}let h=l.shape.length;N.assertAxesAreInnerMostDims("max",p,h);let[m,f]=N.computeOutAndReduceShapes(l.shape,p),g=v.sizeFromShape(f),b=t.makeOutput(m,i.dtype);if(v.sizeFromShape(l.shape)!==0){let y=t.dataIdMap.get(b.dataId).id;UE(o,Et[i.dtype],g,y)}if(c&&t.disposeData(u.dataId),s){let y=N.expandShapeToKeepDim(b.shape,d);b.shape=y}return b}var Roe={kernelName:Pi,backendName:"wasm",setupFunc:Foe,kernelFunc:Doe},Moe=!1,Poe=cn(Oi,Moe),GE;function Ooe(e){GE=e.wasm.cwrap(Li,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function Loe(e){let{inputs:t,attrs:n,backend:a}=e,r=t.x,s=a.dataIdMap.get(r.dataId).id;v.assert(r.dtype==="float32",()=>`Error in MaxPool: only float32 input is supported. Got ${r.dtype}.`);let{filterSize:i,strides:o,pad:l,dimRoundingMode:u}=n,p=N.computePool2DInfo(r.shape,i,o,1,l,u),d=p.filterHeight,c=p.filterWidth,h=p.padInfo.top,m=p.padInfo.right,f=p.padInfo.bottom,g=p.padInfo.left,b=p.dilationHeight,y=p.dilationWidth,x=p.strideHeight,w=p.strideWidth,I=p.inChannels,T=p.outChannels;if(p.dataFormat!=="channelsLast")throw new Error(`wasm backend does not support dataFormat:'${p.dataFormat}'. Please use 'channelsLast'.`);let C=a.makeOutput(p.outShape,"float32"),E=a.dataIdMap.get(C.dataId).id;return GE(s,r.shape[0],r.shape[1],r.shape[2],d,c,h,m,f,g,b,y,x,w,I,T,E),C}var zoe={kernelName:Li,backendName:"wasm",setupFunc:Ooe,kernelFunc:Loe},HE;function Woe(e){HE=e.wasm.cwrap(zi,null,["number, number, number"])}function Boe(e){let{backend:t,inputs:n,attrs:a}=e,{axis:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:d,originalAxes:c,inputWasTransposed:h}=Ss(i,r,t),m=d;if(h){let w=t.dataIdMap.get(p.dataId).id;w!==o&&(u=p,l=w,m=N.getInnerMostAxes(m.length,u.shape.length))}N.assertAxesAreInnerMostDims("mean",m,u.shape.length);let[f,g]=N.computeOutAndReduceShapes(u.shape,m),b=v.sizeFromShape(g),y=u;u.dtype!=="float32"&&(y=Hu({backend:t,inputs:{x:u},attrs:{dtype:"float32"}}),l=t.dataIdMap.get(y.dataId).id);let x=t.makeOutput(f,"float32");if(v.sizeFromShape(u.shape)!==0){let w=t.dataIdMap.get(x.dataId).id;HE(l,b,w)}if(h&&t.disposeData(p.dataId),s){let w=N.expandShapeToKeepDim(x.shape,c);x.shape=w}return u.dtype!=="float32"&&t.disposeData(y.dataId),x}var Voe={kernelName:zi,backendName:"wasm",setupFunc:Woe,kernelFunc:Boe},jE;function Uoe(e){jE=e.wasm.cwrap(Wi,null,["number","number","number","number"])}function Goe(e){let{backend:t,inputs:n,attrs:a}=e,{axis:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:d,originalAxes:c,inputWasTransposed:h}=Ss(i,r,t);if(h){let x=t.dataIdMap.get(p.dataId).id;x!==o&&(u=p,l=x)}let m=u.shape.length;N.assertAxesAreInnerMostDims("min",d,m);let[f,g]=N.computeOutAndReduceShapes(u.shape,d),b=v.sizeFromShape(g),y=t.makeOutput(f,u.dtype);if(v.sizeFromShape(u.shape)!==0){let x=t.dataIdMap.get(y.dataId).id;jE(l,Et[i.dtype],b,x)}if(h&&t.disposeData(p.dataId),s){let x=N.expandShapeToKeepDim(y.shape,c);y.shape=x}return y}var Hoe={kernelName:Wi,backendName:"wasm",setupFunc:Uoe,kernelFunc:Goe},joe=!1,qoe=cn(Bi,joe),fx;(function(e){e[e.reflect=0]="reflect",e[e.symmetric=1]="symmetric"})(fx||(fx={}));var qE;function Koe(e){qE=e.wasm.cwrap(Vi,null,["number","array","number","number","array","array","number","number"])}function Xoe(e){let{inputs:{x:t},backend:n,attrs:{paddings:a,mode:r}}=e,s=a.map((m,f)=>m[0]+t.shape[f]+m[1]),i=n.dataIdMap.get(t.dataId).id,o=n.makeOutput(s,t.dtype),l=n.dataIdMap.get(o.dataId).id,u=new Uint8Array(new Int32Array(t.shape).buffer),p=a.map(m=>m[0]),d=a.map(m=>m[1]),c=new Uint8Array(new Int32Array(p).buffer),h=new Uint8Array(new Int32Array(d).buffer);return qE(i,u,t.shape.length,Et[t.dtype],c,h,fx[r],l),o}var Yoe={kernelName:Vi,backendName:"wasm",kernelFunc:Xoe,setupFunc:Koe},Zoe=!0,Joe=cn(Ui,Zoe),Qoe=an(eu);function t1(e,t){let n=new Int32Array(e.wasm.HEAPU8.buffer,t,4),a=n[0],r=n[1],s=n[2],i=n[3];return e.wasm._free(t),{pSelectedIndices:a,selectedSize:r,pSelectedScores:s,pValidOutputs:i}}var KE;function ele(e){KE=e.wasm.cwrap(nu,"number",["number","number","number","number","number"])}function tle(e){let{backend:t,inputs:n,attrs:a}=e,{iouThreshold:r,maxOutputSize:s,scoreThreshold:i}=a,{boxes:o,scores:l}=n,u=t.dataIdMap.get(o.dataId).id,p=t.dataIdMap.get(l.dataId).id,d=KE(u,p,s,r,i),{pSelectedIndices:c,selectedSize:h,pSelectedScores:m,pValidOutputs:f}=t1(t,d);return t.wasm._free(m),t.wasm._free(f),t.makeOutput([h],"int32",c)}var nle={kernelName:nu,backendName:"wasm",setupFunc:ele,kernelFunc:tle},XE;function ale(e){XE=e.wasm.cwrap(au,"number",["number","number","number","number","number","bool"])}function rle(e){let{backend:t,inputs:n,attrs:a}=e,{iouThreshold:r,maxOutputSize:s,scoreThreshold:i,padToMaxOutputSize:o}=a,{boxes:l,scores:u}=n,p=t.dataIdMap.get(l.dataId).id,d=t.dataIdMap.get(u.dataId).id,c=XE(p,d,s,r,i,o),{pSelectedIndices:h,selectedSize:m,pSelectedScores:f,pValidOutputs:g}=t1(t,c);t.wasm._free(f);let b=t.makeOutput([m],"int32",h),y=t.makeOutput([],"int32",g);return[b,y]}var sle={kernelName:au,backendName:"wasm",setupFunc:ale,kernelFunc:rle},YE;function ile(e){YE=e.wasm.cwrap(ru,"number",["number","number","number","number","number","number"])}function ole(e){let{backend:t,inputs:n,attrs:a}=e,{iouThreshold:r,maxOutputSize:s,scoreThreshold:i,softNmsSigma:o}=a,{boxes:l,scores:u}=n,p=t.dataIdMap.get(l.dataId).id,d=t.dataIdMap.get(u.dataId).id,c=YE(p,d,s,r,i,o),{pSelectedIndices:h,selectedSize:m,pSelectedScores:f,pValidOutputs:g}=t1(t,c);t.wasm._free(g);let b=t.makeOutput([m],"int32",h),y=t.makeOutput([m],"float32",f);return[b,y]}var lle={kernelName:ru,backendName:"wasm",setupFunc:ile,kernelFunc:ole},ule=!1,ple=cn(tu,ule,"bool"),ZE;function cle(e){ZE=e.wasm.cwrap(Gi,null,["number","number","number","number","number"])}function dle(e){let{inputs:t,backend:n,attrs:a}=e,{indices:r}=t,{dtype:s,depth:i,onValue:o,offValue:l}=a,u=n.makeOutput([...r.shape,i],s),p=n.dataIdMap.get(u.dataId).id,d=n.dataIdMap.get(r.dataId).id;return ZE(d,i,o,l,p),u}var hle={kernelName:Gi,backendName:"wasm",setupFunc:cle,kernelFunc:dle};function mle(e){let{inputs:{x:t},backend:n}=e,a=n.makeOutput(t.shape,t.dtype);return n.typedArrayFromHeap(a).fill(1),a}var fle={kernelName:su,backendName:"wasm",kernelFunc:mle};function gle(e){let{inputs:t,backend:n,attrs:a}=e,{axis:r}=a;if(t.length===1)return mx({inputs:{input:t[0]},backend:n,attrs:{dim:r}});let s=t[0].shape,i=t[0].dtype;t.forEach(p=>{v.assertShapesMatch(s,p.shape,"All tensors passed to stack must have matching shapes"),v.assert(i===p.dtype,()=>"All tensors passed to stack must have matching dtypes")});let o=[],l=t.map(p=>{let d=mx({inputs:{input:p},backend:n,attrs:{dim:r}});return o.push(d),d}),u=CE({inputs:l,backend:n,attrs:{axis:r}});return o.forEach(p=>n.disposeData(p.dataId)),u}var ble={kernelName:iu,backendName:"wasm",kernelFunc:gle},JE;function yle(e){JE=e.wasm.cwrap(Hi,null,["number","array","number","number","array","array","number","number"])}function xle(e){let{inputs:{x:t},backend:n,attrs:{paddings:a,constantValue:r}}=e,s=a.map((m,f)=>m[0]+t.shape[f]+m[1]);if(v.sizeFromShape(t.shape)===0)return ME({backend:n,attrs:{shape:s,value:r,dtype:t.dtype}});let i=n.dataIdMap.get(t.dataId).id,o=n.makeOutput(s,t.dtype),l=n.dataIdMap.get(o.dataId).id,u=new Uint8Array(new Int32Array(t.shape).buffer),p=a.map(m=>m[0]),d=a.map(m=>m[1]),c=new Uint8Array(new Int32Array(p).buffer),h=new Uint8Array(new Int32Array(d).buffer);return JE(i,u,t.shape.length,Et[t.dtype],c,h,r,l),o}var QE={kernelName:Hi,backendName:"wasm",kernelFunc:xle,setupFunc:yle},vle=!1,wle=cn(ji,vle),eA;function kle(e){eA=e.wasm.cwrap(qi,null,["number","number","number"])}function Ile(e){let{inputs:t,backend:n}=e,{x:a,alpha:r}=t,s=n.dataIdMap.get(a.dataId).id,i=n.dataIdMap.get(r.dataId).id,o=s,l=a,u=l;l.dtype!=="float32"&&(u=Hu({backend:n,inputs:{x:a},attrs:{dtype:"float32"}}),o=n.dataIdMap.get(u.dataId).id);let p=n.makeOutput(a.shape,"float32"),d=n.dataIdMap.get(p.dataId).id;return eA(o,i,d),l.dtype!=="float32"&&n.disposeData(u.dataId),p}var Sle={kernelName:qi,backendName:"wasm",setupFunc:kle,kernelFunc:Ile},tA;function Tle(e){tA=e.wasm.cwrap(Ki,null,["number","number","number","number"])}function Nle(e){let{backend:t,inputs:n,attrs:a}=e,{axis:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:d,originalAxes:c,inputWasTransposed:h}=Ss(i,r,t),m=d;if(h){let x=t.dataIdMap.get(p.dataId).id;x!==o&&(u=p,l=x,m=N.getInnerMostAxes(m.length,u.shape.length))}N.assertAxesAreInnerMostDims("prod",m,u.shape.length);let[f,g]=N.computeOutAndReduceShapes(u.shape,m),b=v.sizeFromShape(g),y=t.makeOutput(f,u.dtype);if(v.sizeFromShape(u.shape)!==0){let x=t.dataIdMap.get(y.dataId).id;tA(l,b,Et[y.dtype],x)}if(h&&t.disposeData(p.dataId),s){let x=N.expandShapeToKeepDim(y.shape,c);y.shape=x}return y}var Cle={kernelName:Ki,backendName:"wasm",setupFunc:Tle,kernelFunc:Nle},_le=e=>{let{backend:t,attrs:n}=e,{start:a,stop:r,step:s,dtype:i}=n,o=F0(a,r,s,i),l=t.makeOutput([o.length],i);return t.typedArrayFromHeap(l).set(o),l},Ele={kernelName:hc,backendName:"wasm",kernelFunc:_le},Ale=!0,$le=cn(Ni,Ale),Fle=an(Xi),Dle=an(Ji),nA;function Rle(e){nA=e.wasm.cwrap(Zi,null,["number","number","number","number","number","number","number","number","number","number"])}function Mle(e){let{backend:t,inputs:n,attrs:a}=e,{images:r}=n,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,u]=o,[p,d,c,h]=r.shape,m=[p,l,u,h],f=t.dataIdMap.get(r.dataId),g;f.dtype!=="float32"&&(g=Hu({backend:t,inputs:{x:r},attrs:{dtype:"float32"}}),f=t.dataIdMap.get(g.dataId));let b=f.id,y=t.makeOutput(m,"float32");if(v.sizeFromShape(r.shape)===0)return y;let x=t.dataIdMap.get(y.dataId).id;return nA(b,p,d,c,h,l,u,s?1:0,i?1:0,x),g!=null&&t.disposeData(g.dataId),y}var Ple={kernelName:Zi,backendName:"wasm",setupFunc:Rle,kernelFunc:Mle},aA;function Ole(e){aA=e.wasm.cwrap(Yi,null,["number","number","number","number","number","number","number","number","number","number"])}function Lle(e){let{backend:t,inputs:n,attrs:a}=e,{images:r}=n,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,u]=o,[p,d,c,h]=r.shape,m=[p,l,u,h],f=t.makeOutput(m,"float32");if(v.sizeFromShape(r.shape)===0)return f;let g=t.dataIdMap.get(r.dataId),b;g.dtype!=="float32"&&(b=Hu({backend:t,inputs:{x:r},attrs:{dtype:"float32"}}),g=t.dataIdMap.get(b.dataId));let y=g.id,x=t.dataIdMap.get(f.dataId).id;return aA(y,p,d,c,h,l,u,s?1:0,i?1:0,x),b!=null&&t.disposeData(b.dataId),f}var zle={kernelName:Yi,backendName:"wasm",setupFunc:Ole,kernelFunc:Lle},rA;function Wle(e){rA=e.wasm.cwrap(Qi,null,["number","array","number","array","number","number"])}function Ble(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dims:s}=a,i=v.parseAxisParam(s,r.shape);if(r.shape.length===0)return Lf({inputs:{x:r},backend:n});let o=n.makeOutput(r.shape,r.dtype),l=n.dataIdMap.get(r.dataId).id,u=n.dataIdMap.get(o.dataId).id,p=new Uint8Array(new Int32Array(i).buffer),d=new Uint8Array(new Int32Array(r.shape).buffer);rA(l,p,i.length,d,r.shape.length,u);let c=Wn({inputs:{x:o},attrs:{shape:r.shape},backend:n});return n.disposeData(o.dataId),c}var Vle={kernelName:Qi,backendName:"wasm",kernelFunc:Ble,setupFunc:Wle},sA;function Ule(e){sA=e.wasm.cwrap(Su,null,["number","number","number","number","number","number","number","number","array","number","number"])}function Gle(e){let{inputs:t,backend:n,attrs:a}=e,{image:r}=t,{radians:s,fillValue:i,center:o}=a,l=n.makeOutput(r.shape,r.dtype),u=n.dataIdMap.get(r.dataId).id,p=n.dataIdMap.get(l.dataId).id,[d,c,h,m]=r.shape,[f,g]=N.getImageCenter(o,c,h),b=i===0,y=255,x=typeof i=="number"?[i,i,i,b?0:y]:[...i,y],w=new Uint8Array(new Int32Array(x).buffer);return sA(u,d,c,h,m,s,f,g,w,x.length,p),l}var Hle={kernelName:Su,backendName:"wasm",kernelFunc:Gle,setupFunc:Ule},jle=an(eo),qle=an(to),iA;function Kle(e){iA=e.wasm.cwrap(uu,null,["number","number","number","number","number","number","array","number","number"])}function Xle(e){let{backend:t,inputs:n,attrs:a}=e,{indices:r,updates:s}=n,{shape:i}=a,o=t.makeOutput(i,s.dtype);if(v.sizeFromShape(i)===0)return o;let{sliceRank:l,numUpdates:u,sliceSize:p,strides:d,outputSize:c}=Px.calculateShapes(s,r,i),h=t.dataIdMap.get(r.dataId).id,m=t.dataIdMap.get(s.dataId).id,f=new Uint8Array(new Int32Array(d).buffer),g=t.dataIdMap.get(o.dataId).id;return iA(h,m,Et[s.dtype],l,u,p,f,c,g),o}var Yle={kernelName:uu,backendName:"wasm",setupFunc:Kle,kernelFunc:Xle},oA;function Zle(e){oA=e.wasm.cwrap("SelectV2",null,["number","number","number","number","number"])}function Jle(e){let{inputs:t,backend:n}=e,{condition:a,t:r,e:s}=t,i=n.dataIdMap.get(a.dataId).id,o=n.dataIdMap.get(r.dataId).id,l=n.dataIdMap.get(s.dataId).id,u=n.makeOutput(r.shape,r.dtype),p=n.dataIdMap.get(u.dataId).id,d=a.shape.length,c=r.shape.length,h=d===0||d>1||c===1?1:v.sizeFromShape(r.shape.slice(1));return oA(i,o,l,h,p),u}var Qle={kernelName:pu,backendName:"wasm",kernelFunc:Jle,setupFunc:Zle},lA;function eue(e){lA=e.wasm.cwrap(ao,null,["number","number"])}function tue(e){let{backend:t,inputs:{x:n}}=e,a=t.dataIdMap.get(n.dataId).id,r=t.makeOutput(n.shape,n.dtype),s=t.dataIdMap.get(r.dataId).id;return v.sizeFromShape(r.shape)===0||lA(a,s),r}var nue={kernelName:"Sigmoid",backendName:"wasm",setupFunc:eue,kernelFunc:tue},aue=an(no),uA;function rue(e){uA=e.wasm.cwrap(io,null,["number","number","number","number"])}function sue(e){let{backend:t,inputs:{logits:n},attrs:{dim:a}}=e,r=t.dataIdMap.get(n.dataId).id,s=t.makeOutput(n.shape,n.dtype),i=t.dataIdMap.get(s.dataId).id,o=n.shape[a],l=v.sizeFromShape(n.shape)/o;return v.sizeFromShape(s.shape)===0||uA(r,i,o,l),s}var iue={kernelName:io,backendName:"wasm",setupFunc:rue,kernelFunc:sue};function oue(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockShape:s,paddings:i}=a,o=v.sizeFromShape(s),l=[[0,0]];l.push(...i);for(let g=1+s.length;g0?l+1:0;if(u<0)throw new Error(N.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let p=r.shape.slice();p[0]=u;let d=n.dataIdMap.get(r.dataId).id,c=n.dataIdMap.get(s.dataId).id,h=n.dataIdMap.get(i.dataId).id,m=n.makeOutput(p,r.dtype),f=n.dataIdMap.get(m.dataId).id,g=n.makeOutput([4],"int32"),b=n.dataIdMap.get(g.dataId).id;rA(d,Et[r.dtype],r.shape[0],c,h,f,b,t,0);let y=n.readSync(g.dataId),x;switch(y[0]){case 0:{x=N.getSparseSegmentReductionNegativeSegmentIdsErrorMessage();break}case 1:{x=N.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage();break}case 2:x=N.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(y[1],y[2]);break;case 3:x=N.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(y[1],y[2],y[3]);break;default:x=""}if(n.disposeData(g.dataId),x)throw n.disposeData(m.dataId),new Error(x);return m}function Jle(e){return iA(e,!0)}var Qle={kernelName:hc,backendName:"wasm",setupFunc:sA,kernelFunc:Jle};function eue(e){return iA(e,!1)}var tue={kernelName:mc,backendName:"wasm",setupFunc:sA,kernelFunc:eue};function nue(e){let{inputs:t,attrs:n,backend:a}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=n,o=v.parseAxisParam(i,r.shape)[0],l=N.prepareSplitSize(r,s,o),u=new Array(r.shape.length).fill(0),p=r.shape.slice();return l.map(d=>{let c=[...p];c[o]=d;let h=di({inputs:{x:r},attrs:{begin:u,size:c},backend:a});return u[o]+=d,h})}var aue={kernelName:fu,backendName:"wasm",kernelFunc:nue},rue=nn(ro),sue=nn(fc),iue=!0,oue=pn(oo,iue),oA;function lue(e){oA=e.wasm.cwrap(hs,null,["number","number","number","number"])}function uue(e){let{backend:t,inputs:n,attrs:a}=e,{alpha:r}=a,{x:s}=n,i=t.dataIdMap.get(s.dataId).id,o=t.makeOutput(s.shape,s.dtype),l=t.dataIdMap.get(o.dataId).id;return oA(i,r,Et[s.dtype],l),o}var pue={kernelName:hs,backendName:"wasm",setupFunc:lue,kernelFunc:uue},lA;function cue(e){lA=e.wasm.cwrap(bu,null,["number","array","number","array","array","array","array","array","number","number"])}function due(e){let{backend:t,inputs:n,attrs:a}=e,{x:r}=n,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:p,newAxisMask:d,shrinkAxisMask:c}=a,{finalShapeSparse:h,finalShape:m,isIdentity:f,sliceDim0:g,isSimpleSlice:b,begin:y,end:x,strides:w}=jt.sliceInfo(r.shape,s,i,o,l,u,p,d,c),I;if(f)I=zn({inputs:{x:r},backend:t,attrs:{shape:m}});else if(g||b){v.assert(r.shape.length>=1,()=>`Input must have rank at least 1, got: ${r.shape.length}`);let T=jt.computeOutShape(y,x,w),C=di({inputs:{x:r},backend:t,attrs:{begin:y,size:T}});I=zn({inputs:{x:C},backend:t,attrs:{shape:m}}),t.disposeData(C.dataId)}else{let T=t.makeOutput(h,"float32"),C=t.dataIdMap.get(r.dataId).id,E=new Uint8Array(new Int32Array(v.computeStrides(r.shape)).buffer),A=new Uint8Array(new Int32Array(y).buffer),R=new Uint8Array(new Int32Array(x).buffer),F=new Uint8Array(new Int32Array(w).buffer),S=new Uint8Array(new Int32Array(h).buffer),M=new Uint8Array(new Int32Array(v.computeStrides(h)).buffer),W=t.dataIdMap.get(T.dataId).id;lA(C,E,r.shape.length,A,R,F,S,M,h.length,W),I=zn({inputs:{x:T},backend:t,attrs:{shape:m}}),t.disposeData(T.dataId)}return I}var hue={kernelName:bu,backendName:"wasm",setupFunc:cue,kernelFunc:due};function mue(e){let{backend:t,inputs:n,attrs:a}=e,{data:r,dataSplits:s}=n,{separator:i,nGramWidths:o,leftPad:l,rightPad:u,padWidth:p,preserveShortSequences:d}=a,c=t.readSync(r.dataId),h=t.readSync(s.dataId),[m,f]=A0(c,h,i,o,l,u,p,d),g=t.makeOutput([m.length],"string"),b=t.dataIdMap.get(g.dataId);b.stringBytes=m;let y=t.makeOutput(s.shape,"int32");return t.typedArrayFromHeap(y).set(f),[g,y]}var fue={kernelName:gc,backendName:"wasm",kernelFunc:mue};function gue(e){let{backend:t,inputs:n,attrs:a}=e,{input:r,delimiter:s}=n,{skipEmpty:i}=a,o=t.readSync(r.dataId),l=t.readSync(s.dataId),[u,p,d]=$0(o,l[0],i),c=p.length,h=t.makeOutput([c,2],"int32");t.typedArrayFromHeap(h).set(u);let m=t.makeOutput([c],"string"),f=t.dataIdMap.get(m.dataId);f.stringBytes=p;let g=t.makeOutput([2],"int32");return t.typedArrayFromHeap(g).set(d),[h,m,g]}var bue={kernelName:bc,backendName:"wasm",kernelFunc:gue};function yue(e){let{backend:t,inputs:n,attrs:a}=e,{input:r}=n,{numBuckets:s}=a,i=t.readSync(r.dataId),o=F0(i,s),l=t.makeOutput(r.shape,"int32");return t.typedArrayFromHeap(l).set(o),l}var xue={kernelName:yc,backendName:"wasm",kernelFunc:yue},vue=!0,wue=pn(lo,vue),uA;function kue(e){uA=e.wasm.cwrap(so,null,["number","number","number","number"])}function Iue(e){let{backend:t,inputs:n,attrs:a}=e,{axis:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:d,originalAxes:c,inputWasTransposed:h}=Ss(i,r,t),m=d;if(h){let x=t.dataIdMap.get(p.dataId).id;x!==o&&(u=p,l=x,m=N.getInnerMostAxes(m.length,u.shape.length))}N.assertAxesAreInnerMostDims("sum",m,u.shape.length);let[f,g]=N.computeOutAndReduceShapes(u.shape,m),b=v.sizeFromShape(g),y=t.makeOutput(f,u.dtype);if(v.sizeFromShape(u.shape)!==0){let x=t.dataIdMap.get(y.dataId).id;uA(l,b,Et[y.dtype],x)}if(h&&t.disposeData(p.dataId),s){let x=N.expandShapeToKeepDim(y.shape,c);y.shape=x}return y}var Sue={kernelName:so,backendName:"wasm",setupFunc:kue,kernelFunc:Iue},Tue=nn(uo),Nue=nn(po),pA;function Cue(e){pA=e.wasm.cwrap(ds,null,["number","array","number","array","number","number"])}function _ue(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,s=n.dataIdMap.get(r.dataId).id,{reps:i}=a,o=new Array(r.shape.length);for(let c=0;c{let{x:a}=e,{k:r,sorted:s}=n,i=t.dataIdMap.get(a.dataId).id,o=new Uint8Array(new Int32Array(a.shape).buffer),l=a.shape.slice();l[l.length-1]=r;let u=t.makeOutput(l,a.dtype),p=t.dataIdMap.get(u.dataId).id,d=t.makeOutput(l,"int32"),c=t.dataIdMap.get(d.dataId).id;return cA(i,o,a.shape.length,Et[a.dtype],r,s,p,c),[u,d]},Fue={kernelName:yu,backendName:"wasm",setupFunc:Aue,kernelFunc:$ue},dA;function Due(e){dA=e.wasm.cwrap(xu,null,["number","number","bool","number","number","number","number","number","number","array","number","array","number","number","number","number","number"])}function Rue(e){let{backend:t,inputs:n,attrs:a}=e,{image:r,transforms:s}=n,{interpolation:i,fillMode:o,fillValue:l,outputShape:u}=a,[p,d,c,h]=r.shape,[m,f]=u!=null?u:[d,c],g=[p,m,f,h],b=new Uint8Array(new Int32Array(v.computeStrides(r.shape)).buffer),y=new Uint8Array(new Int32Array(v.computeStrides(g)).buffer),x=t.makeOutput(g,r.dtype),w=t.dataIdMap.get(x.dataId).id,I=t.dataIdMap.get(r.dataId).id,T=t.dataIdMap.get(s.dataId).id,C=i==="nearest"?1:2,E;switch(o){case"constant":E=1;break;case"reflect":E=2;break;case"wrap":E=3;break;case"nearest":E=4;break;default:E=1;break}return dA(I,T,s.shape[0]>1,p,m,f,h,c,d,b,r.shape.length-1,y,g.length-1,C,E,l,w),x}var Mue={kernelName:xu,backendName:"wasm",setupFunc:Due,kernelFunc:Rue};function Pue(e){let{inputs:t,backend:n,attrs:a}=e,{value:r}=t,{axis:s}=a;s<0&&(s+=r.shape.length);let i=r.shape[s],o=r.shape.length,l=new Array(o-1),u=0;for(let h=0;h({dataId:h,dtype:m,shape:l}))}var Oue={kernelName:vu,backendName:"wasm",kernelFunc:Pue};function Lue(e){let{inputs:{x:t},backend:n}=e,a=n.makeOutput(t.shape,t.dtype);return n.typedArrayFromHeap(a).fill(0),a}var zue={kernelName:wu,backendName:"wasm",kernelFunc:Lue},Bue=[mse,fse,bse,vse,_se,$se,Rse,Ose,Wse,qse,Kse,Xse,Jse,Qse,nie,sie,iie,oie,pie,hie,gie,xie,kie,Iie,Tie,Nie,Cie,_ie,$ie,Fie,Rie,Oie,Bie,Uie,jie,Xie,Zie,Qie,wse,noe,roe,ioe,ooe,uoe,poe,doe,moe,boe,xoe,koe,Toe,_oe,Aoe,Doe,Moe,Poe,zoe,Voe,Hoe,qoe,Yoe,Joe,ele,HE,rle,ole,ple,dle,mle,fle,gle,Lse,xle,kle,Tle,_le,Ele,Ale,Dle,Ple,zle,Ble,Hse,Ule,Hle,Kle,Zle,Qle,tue,aue,rue,sue,oue,pue,hue,fue,bue,xue,wue,Sue,Tue,Nue,Eue,Fue,Mue,Tse,Oue,zue];for(let e of Bue)vc(e);var mx=H();mx.registerFlag("WASM_HAS_SIMD_SUPPORT",async()=>{try{return WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,10,9,1,7,0,65,0,253,15,26,11]))}catch(e){return!1}});mx.registerFlag("WASM_HAS_MULTITHREAD_SUPPORT",async()=>{if(mx.get("IS_NODE"))return!1;try{return new MessageChannel().port1.postMessage(new SharedArrayBuffer(1)),WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,5,4,1,3,1,1,10,11,1,9,0,65,0,254,16,2,0,26,11]))}catch(e){return!1}});var lI=ls(fF()),Wue=ls(gF()),uI=ls(bF()),pI=lI.default||lI,Vue=uI.default||uI,hA=class extends nc{constructor(e){super(),this.wasm=e,this.dataIdNextNumber=1,this.wasm.tfjs.initWithThreadsCount(mA),fx=this.wasm.tfjs.getThreadsCount(),this.dataIdMap=new Hh(this,Ja())}write(e,t,n){let a={id:this.dataIdNextNumber++};return this.move(a,e,t,n,1),a}numDataIds(){return this.dataIdMap.numDataIds()}async time(e){let t=v.now();return e(),{kernelMs:v.now()-t}}move(e,t,n,a,r){let s=this.dataIdNextNumber++;if(a==="string"){let u=t;this.dataIdMap.set(e,{id:s,stringBytes:u,shape:n,dtype:a,memoryOffset:null,refCount:r});return}let i=v.sizeFromShape(n),o=i*v.bytesPerElement(a),l=this.wasm._malloc(o);this.dataIdMap.set(e,{id:s,memoryOffset:l,shape:n,dtype:a,refCount:r}),this.wasm.tfjs.registerTensor(s,i,l),t!=null&&this.wasm.HEAPU8.set(new Uint8Array(t.buffer,t.byteOffset,o),l)}async read(e){return this.readSync(e)}readSync(e,t,n){let{memoryOffset:a,dtype:r,shape:s,stringBytes:i}=this.dataIdMap.get(e);if(r==="string")return(t==null||t===0)&&(n==null||n>=i.length)?i:i.slice(t,n);t=t||0,n=n||v.sizeFromShape(s);let o=v.bytesPerElement(r),l=this.wasm.HEAPU8.slice(a+t*o,a+n*o);return Hue(l.buffer,r)}disposeData(e,t=!1){if(this.dataIdMap.has(e)){let n=this.dataIdMap.get(e);if(n.refCount--,!t&&n.refCount>0)return!1;this.wasm._free(n.memoryOffset),this.wasm.tfjs.disposeData(n.id),this.dataIdMap.delete(e)}return!0}refCount(e){return this.dataIdMap.has(e)?this.dataIdMap.get(e).refCount:0}incRef(e){let t=this.dataIdMap.get(e);t!=null&&t.refCount++}floatPrecision(){return 32}getMemoryOffset(e){return this.dataIdMap.get(e).memoryOffset}dispose(){this.wasm.tfjs.dispose(),"PThread"in this.wasm&&this.wasm.PThread.terminateAllThreads(),this.wasm=null}memory(){return{unreliable:!1}}makeOutput(e,t,n){let a;if(n==null)a=this.write(null,e,t);else{let r=this.dataIdNextNumber++;a={id:r},this.dataIdMap.set(a,{id:r,memoryOffset:n,shape:e,dtype:t,refCount:1});let s=v.sizeFromShape(e);this.wasm.tfjs.registerTensor(r,s,n)}return{dataId:a,shape:e,dtype:t}}typedArrayFromHeap({shape:e,dtype:t,dataId:n}){let a=this.wasm.HEAPU8.buffer,{memoryOffset:r}=this.dataIdMap.get(n),s=v.sizeFromShape(e);switch(t){case"float32":return new Float32Array(a,r,s);case"int32":return new Int32Array(a,r,s);case"bool":return new Uint8Array(a,r,s);default:throw new Error(`Unknown dtype ${t}`)}}};function Uue(e){return(t,n)=>(v.fetch(e,{credentials:"same-origin"}).then(a=>{a.ok||t.env.a(`failed to load wasm binary file at '${e}'`),a.arrayBuffer().then(r=>{WebAssembly.instantiate(r,t).then(s=>{n(s.instance,s.module)})})}),{})}function cI(e,t,n){if(Uh!=null)return Uh;let a="tfjs-backend-wasm.wasm";return e&&t?a="tfjs-backend-wasm-threaded-simd.wasm":e&&(a="tfjs-backend-wasm-simd.wasm"),Op!=null&&Op[a]!=null?Op[a]:n+a}async function Gue(){let[e,t]=await Promise.all([H().getAsync("WASM_HAS_SIMD_SUPPORT"),H().getAsync("WASM_HAS_MULTITHREAD_SUPPORT")]);return new Promise((n,a)=>{let r={};r.locateFile=(o,l)=>{if(o.endsWith(".worker.js")){let u=Wue.wasmWorkerContents.replace(/\n/g,"\\n"),p=new Blob([u],{type:"application/javascript"});return URL.createObjectURL(p)}return o.endsWith(".wasm")?cI(e,t,Rp!=null?Rp:l):l+o},J0&&(r.instantiateWasm=Uue(cI(e,t,Rp!=null?Rp:"")));let s=!1;r.onAbort=()=>{s||Lp||(Lp=!0,a({message:"Make sure the server can serve the `.wasm` file relative to the bundled js file. For more details see https://github.com/tensorflow/tfjs/blob/master/tfjs-backend-wasm/README.md#using-bundlers"}))};let i;t&&e&&Uh==null?(r.mainScriptUrlOrBlob=new Blob(["var WasmBackendModuleThreadedSimd = "+pI.toString()],{type:"text/javascript"}),i=pI(r)):i=Vue(r),i.then(o=>{s=!0,Lp=!1;let l=null;o.tfjs={init:o.cwrap("init",null,[]),initWithThreadsCount:o.cwrap("init_with_threads_count",null,["number"]),getThreadsCount:o.cwrap("get_threads_count","number",[]),registerTensor:o.cwrap("register_tensor",null,["number","number","number"]),disposeData:o.cwrap("dispose_data",l,["number"]),dispose:o.cwrap("dispose",l,[])},n({wasm:o})}).catch(a)})}function Hue(e,t){switch(t){case"float32":return new Float32Array(e);case"int32":return new Int32Array(e);case"bool":return new Uint8Array(e);default:throw new Error(`Unknown dtype ${t}`)}}var jue=["tfjs-backend-wasm.wasm","tfjs-backend-wasm-simd.wasm","tfjs-backend-wasm-threaded-simd.wasm"],Uh=null,Rp=null,Op={},Lp=!1,J0=!1;function que(e,t=!1){if(Fx("setWasmPath has been deprecated in favor of setWasmPaths and will be removed in a future release."),Lp)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPath()` before you call `tf.setBackend()` or `tf.ready()`");Uh=e,J0=t}function Kue(e,t=!1){if(Lp)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPaths()` before you call `tf.setBackend()` or `tf.ready()`");if(typeof e=="string")Rp=e;else{Op=e;let n=jue.filter(a=>Op[a]==null);if(n.length>0)throw new Error(`There were no entries found for the following binaries: ${n.join(",")}. Please either call setWasmPaths with a map providing a path for each binary, or with a string indicating the directory where all the binaries can be found.`)}J0=t}var mA=-1,fx=-1;function Xue(e){mA=e}function Yue(){if(fx===-1)throw new Error("WASM backend not initialized.");return fx}var Zue="3.21.0",Jue=2;Cm("wasm",async()=>{let{wasm:e}=await Gue();return new hA(e)},Jue);var Que="3.21.0",epe="3.21.0",tpe="3.21.0",npe="3.21.0",ape="3.21.0",rpe="3.21.0",spe="3.21.0",ipe="3.21.0",ope={tfjs:Que,"tfjs-core":epe,"tfjs-data":tpe,"tfjs-layers":npe,"tfjs-converter":ape,"tfjs-backend-cpu":rpe,"tfjs-backend-webgl":spe,"tfjs-backend-wasm":ipe};var MA={};ty(MA,{AnchorPosition:()=>o1,DrawBox:()=>ld,DrawBoxOptions:()=>Wf,DrawFaceLandmarks:()=>Qf,DrawFaceLandmarksOptions:()=>Jf,DrawTextField:()=>Pr,DrawTextFieldOptions:()=>Yu,drawContour:()=>Fr,drawDetections:()=>mpe,drawFaceExpressions:()=>fpe,drawFaceLandmarks:()=>bpe});function Fr(e,t,n=!1){if(e.beginPath(),t.slice(1).forEach(({x:a,y:r},s)=>{let i=t[s];e.moveTo(i.x,i.y),e.lineTo(a,r)}),n){let a=t[t.length-1],r=t[0];if(!a||!r)return;e.moveTo(a.x,a.y),e.lineTo(r.x,r.y)}e.stroke()}var fA={};ty(fA,{computeReshapedDimensions:()=>t1,getCenterPoint:()=>So,isDimensions:()=>Lf,isEven:()=>Of,isFloat:()=>e1,isTensor:()=>ko,isTensor1D:()=>lpe,isTensor2D:()=>Q0,isTensor3D:()=>Dr,isTensor4D:()=>ya,isValidNumber:()=>Ka,isValidProbablitiy:()=>Gu,range:()=>dr,round:()=>Io});var Cn=class{constructor(t,n){if(!Ka(t)||!Ka(n))throw new Error(`Dimensions.constructor - expected width and height to be valid numbers, instead have ${JSON.stringify({width:t,height:n})}`);this._width=t,this._height=n}get width(){return this._width}get height(){return this._height}reverse(){return new Cn(1/this.width,1/this.height)}};function ko(e,t){return e instanceof Te&&e.shape.length===t}function lpe(e){return ko(e,1)}function Q0(e){return ko(e,2)}function Dr(e){return ko(e,3)}function ya(e){return ko(e,4)}function e1(e){return e%1!==0}function Of(e){return e%2===0}function Io(e,t=2){let n=10**t;return Math.floor(e*n)/n}function Lf(e){return e&&e.width&&e.height}function t1({width:e,height:t},n){let a=n/Math.max(t,e);return new Cn(Math.round(e*a),Math.round(t*a))}function So(e){return e.reduce((t,n)=>t.add(n),new Me(0,0)).div(new Me(e.length,e.length))}function dr(e,t,n){return Array(e).fill(0).map((a,r)=>t+r*n)}function Ka(e){return!!e&&e!==1/0&&e!==-1/0&&!Number.isNaN(e)||e===0}function Gu(e){return Ka(e)&&e>=0&&e<=1}var Me=class{constructor(t,n){this._x=t,this._y=n}get x(){return this._x}get y(){return this._y}add(t){return new Me(this.x+t.x,this.y+t.y)}sub(t){return new Me(this.x-t.x,this.y-t.y)}mul(t){return new Me(this.x*t.x,this.y*t.y)}div(t){return new Me(this.x/t.x,this.y/t.y)}abs(){return new Me(Math.abs(this.x),Math.abs(this.y))}magnitude(){return Math.sqrt(this.x**2+this.y**2)}floor(){return new Me(Math.floor(this.x),Math.floor(this.y))}};var ut=class{static isRect(t){return!!t&&[t.x,t.y,t.width,t.height].every(Ka)}static assertIsValidBox(t,n,a=!1){if(!ut.isRect(t))throw new Error(`${n} - invalid box: ${JSON.stringify(t)}, expected object with properties x, y, width, height`);if(!a&&(t.width<0||t.height<0))throw new Error(`${n} - width (${t.width}) and height (${t.height}) must be positive numbers`)}constructor(t,n=!0){let a=t||{},r=[a.left,a.top,a.right,a.bottom].every(Ka),s=[a.x,a.y,a.width,a.height].every(Ka);if(!s&&!r)throw new Error(`Box.constructor - expected box to be IBoundingBox | IRect, instead have ${JSON.stringify(a)}`);let[i,o,l,u]=s?[a.x,a.y,a.width,a.height]:[a.left,a.top,a.right-a.left,a.bottom-a.top];ut.assertIsValidBox({x:i,y:o,width:l,height:u},"Box.constructor",n),this._x=i,this._y=o,this._width=l,this._height=u}get x(){return this._x}get y(){return this._y}get width(){return this._width}get height(){return this._height}get left(){return this.x}get top(){return this.y}get right(){return this.x+this.width}get bottom(){return this.y+this.height}get area(){return this.width*this.height}get topLeft(){return new Me(this.left,this.top)}get topRight(){return new Me(this.right,this.top)}get bottomLeft(){return new Me(this.left,this.bottom)}get bottomRight(){return new Me(this.right,this.bottom)}round(){let[t,n,a,r]=[this.x,this.y,this.width,this.height].map(s=>Math.round(s));return new ut({x:t,y:n,width:a,height:r})}floor(){let[t,n,a,r]=[this.x,this.y,this.width,this.height].map(s=>Math.floor(s));return new ut({x:t,y:n,width:a,height:r})}toSquare(){let{x:t,y:n,width:a,height:r}=this,s=Math.abs(a-r);return an&&(o=-d+n+a,d=n),c>t&&(l=-c+t+r,c=t),u<1&&(l=2-u,u=1),p<1&&(l=2-p,p=1),{dy:i,edy:l,dx:s,edx:o,y:p,ey:c,x:u,ex:d,w:a,h:r}}calibrate(t){return new ut({left:this.left+t.left*this.width,top:this.top+t.top*this.height,right:this.right+t.right*this.width,bottom:this.bottom+t.bottom*this.height}).toSquare().round()}};var Hu=class extends ut{constructor(t,n,a,r,s=!1){super({left:t,top:n,right:a,bottom:r},s)}};var Ts=class{constructor(t,n,a,r,s){this._imageDims=new Cn(s.width,s.height),this._score=t,this._classScore=n,this._className=a,this._box=new ut(r).rescale(this._imageDims)}get score(){return this._score}get classScore(){return this._classScore}get className(){return this._className}get box(){return this._box}get imageDims(){return this._imageDims}get imageWidth(){return this.imageDims.width}get imageHeight(){return this.imageDims.height}get relativeBox(){return new ut(this._box).rescale(this.imageDims.reverse())}forSize(t,n){return new Ts(this.score,this.classScore,this.className,this.relativeBox,{width:t,height:n})}};var xt=class extends Ts{constructor(t,n,a){super(t,t,"",n,a)}forSize(t,n){let{score:a,relativeBox:r,imageDims:s}=super.forSize(t,n);return new xt(a,r,s)}};function gA(e,t,n=!0){let a=Math.max(0,Math.min(e.right,t.right)-Math.max(e.left,t.left)),r=Math.max(0,Math.min(e.bottom,t.bottom)-Math.max(e.top,t.top)),s=a*r;return n?s/(e.area+t.area-s):s/Math.min(e.area,t.area)}function bA(e){let t=e.map(o=>o.x),n=e.map(o=>o.y),a=t.reduce((o,l)=>lloo({score:i,boxIndex:o})).sort((i,o)=>i.score-o.score).map(i=>i.boxIndex),s=[];for(;r.length>0;){let i=r.pop();s.push(i);let o=r,l=[];for(let u=0;ul[p]<=n)}return s}function hr(e,t){return P(()=>{let[n,a,r]=t,s=gn([...e.shape.slice(0,3),1],n,"float32"),i=gn([...e.shape.slice(0,3),1],a,"float32"),o=gn([...e.shape.slice(0,3),1],r,"float32"),l=Ze([s,i,o],3);return pe(e,l)})}function xA(e,t=!1){return P(()=>{let[n,a]=e.shape.slice(1);if(n===a)return e;let r=Math.abs(n-a),s=Math.round(r*(t?.5:1)),i=n>a?2:1,o=c=>{let h=e.shape.slice();return h[i]=c,gn(h,0,"float32")},l=o(s),u=r-l.shape[i],d=[t&&u?o(u):null,e,l].filter(c=>!!c).map(c=>oe(c,"float32"));return Ze(d,i)})}function obe(e){let t=e.slice();for(let n=t.length-1;n>0;n--){let a=Math.floor(Math.random()*(n+1)),r=t[n];t[n]=t[a],t[a]=r}return t}function zf(e){return 1/(1+Math.exp(-e))}function ube(e){return Math.log(e/(1-e))}var ju=class extends ut{constructor(t,n,a,r,s=!1){super({x:t,y:n,width:a,height:r},s)}};var upe=.5,ppe=.43,cpe=.45,xa=class{constructor(t,n,a=new Me(0,0)){let{width:r,height:s}=n;this._imgDims=new Cn(r,s),this._shift=a,this._positions=t.map(i=>i.mul(new Me(r,s)).add(a))}get shift(){return new Me(this._shift.x,this._shift.y)}get imageWidth(){return this._imgDims.width}get imageHeight(){return this._imgDims.height}get positions(){return this._positions}get relativePositions(){return this._positions.map(t=>t.sub(this._shift).div(new Me(this.imageWidth,this.imageHeight)))}forSize(t,n){return new this.constructor(this.relativePositions,{width:t,height:n})}shiftBy(t,n){return new this.constructor(this.relativePositions,this._imgDims,new Me(t,n))}shiftByPoint(t){return this.shiftBy(t.x,t.y)}align(t,n={}){if(t){let s=t instanceof xt?t.box.floor():new ut(t);return this.shiftBy(s.x,s.y).align(null,n)}let{useDlibAlignment:a,minBoxPadding:r}={useDlibAlignment:!1,minBoxPadding:.2,...n};return a?this.alignDlib():this.alignMinBbox(r)}alignDlib(){let t=this.getRefPointsForAlignment(),[n,a,r]=t,s=d=>r.sub(d).magnitude(),i=(s(n)+s(a))/2,o=Math.floor(i/cpe),l=So(t),u=Math.floor(Math.max(0,l.x-upe*o)),p=Math.floor(Math.max(0,l.y-ppe*o));return new ju(u,p,Math.min(o,this.imageWidth+u),Math.min(o,this.imageHeight+p))}alignMinBbox(t){let n=bA(this.positions);return n.pad(n.width*t,n.height*t)}getRefPointsForAlignment(){throw new Error("getRefPointsForAlignment not implemented by base class")}};var vA=class extends xa{getRefPointsForAlignment(){let t=this.positions;return[t[0],t[1],So([t[3],t[4]])]}};var qu=class extends xa{getJawOutline(){return this.positions.slice(0,17)}getLeftEyeBrow(){return this.positions.slice(17,22)}getRightEyeBrow(){return this.positions.slice(22,27)}getNose(){return this.positions.slice(27,36)}getLeftEye(){return this.positions.slice(36,42)}getRightEye(){return this.positions.slice(42,48)}getMouth(){return this.positions.slice(48,68)}getRefPointsForAlignment(){return[this.getLeftEye(),this.getRightEye(),this.getMouth()].map(So)}};var sd=class{constructor(t,n){this._label=t,this._distance=n}get label(){return this._label}get distance(){return this._distance}toString(t=!0){return`${this.label}${t?` (${Io(this.distance)})`:""}`}};var id=class extends ut{constructor(n,a){super(n);this._label=a}static assertIsValidLabeledBox(n,a){if(ut.assertIsValidBox(n,a),!Ka(n.label))throw new Error(`${a} - expected property label (${n.label}) to be a number`)}get label(){return this._label}};var Rr=class{constructor(t,n){if(typeof t!="string")throw new Error("LabeledFaceDescriptors - constructor expected label to be a string");if(!Array.isArray(n)||n.some(a=>!(a instanceof Float32Array)))throw new Error("LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array");this._label=t,this._descriptors=n}get label(){return this._label}get descriptors(){return this._descriptors}toJSON(){return{label:this.label,descriptors:this.descriptors.map(t=>Array.from(t))}}static fromJSON(t){let n=t.descriptors.map(a=>new Float32Array(a));return new Rr(t.label,n)}};var wA=class extends id{constructor(n,a,r,s){super(n,a);this._score=r,this._classScore=s}static assertIsValidPredictedBox(n,a){if(id.assertIsValidLabeledBox(n,a),!Gu(n.score)||!Gu(n.classScore))throw new Error(`${a} - expected properties score (${n.score}) and (${n.classScore}) to be a number between [0, 1]`)}get score(){return this._score}get classScore(){return this._classScore}};function Mr(e){return e.detection instanceof xt}function Ku(e,t){return{...e,...{detection:t}}}function n1(){let e=window.fetch;if(!e)throw new Error("fetch - missing fetch implementation for browser environment");return{Canvas:HTMLCanvasElement,CanvasRenderingContext2D,Image:HTMLImageElement,ImageData,Video:HTMLVideoElement,createCanvasElement:()=>document.createElement("canvas"),createImageElement:()=>document.createElement("img"),createVideoElement:()=>document.createElement("video"),fetch:e,readFile:()=>{throw new Error("readFile - filesystem not available for browser environment")}}}function od(){return typeof global=="object"&&typeof process!="undefined"&&process.versions!=null&&process.versions.node!=null}function Bf(e){let t="";if(!e&&od())try{e=Ur("fs")}catch(a){t=a.toString()}return{readFile:e?a=>new Promise((r,s)=>{e.readFile(a,(i,o)=>i?s(i):r(o))}):()=>{throw new Error(`readFile - failed to require fs in nodejs environment with error: ${t}`)}}}function a1(){let e=global.Canvas||global.HTMLCanvasElement,t=global.Image||global.HTMLImageElement,n=global.Video||global.HTMLVideoElement,a=()=>{if(e)return new e;throw new Error("createCanvasElement - missing Canvas implementation for nodejs environment")},r=()=>{if(t)return new t;throw new Error("createImageElement - missing Image implementation for nodejs environment")},s=()=>{if(n)return new n;throw new Error("createVideoElement - missing Video implementation for nodejs environment")},i=global.fetch,o=Bf();return{Canvas:e||class{},CanvasRenderingContext2D:global.CanvasRenderingContext2D||class{},Image:t||class{},ImageData:global.ImageData||class{},Video:global.HTMLVideoElement||class{},createCanvasElement:a,createImageElement:r,createVideoElement:s,fetch:i,...o}}function r1(){return typeof window=="object"&&typeof document!="undefined"&&typeof HTMLImageElement!="undefined"&&typeof HTMLCanvasElement!="undefined"&&typeof HTMLVideoElement!="undefined"&&typeof ImageData!="undefined"&&typeof CanvasRenderingContext2D!="undefined"}var an;function dpe(){if(!an)throw new Error("getEnv - environment is not defined, check isNodejs() and isBrowser()");return an}function s1(e){an=e}function i1(){return r1()?s1(n1()):od()?s1(a1()):null}function hpe(e){if(an||i1(),!an)throw new Error("monkeyPatch - environment is not defined, check isNodejs() and isBrowser()");let{Canvas:t=an.Canvas,Image:n=an.Image}=e;an.Canvas=t,an.Image=n,an.createCanvasElement=e.createCanvasElement||(()=>new t),an.createImageElement=e.createImageElement||(()=>new n),an.ImageData=e.ImageData||an.ImageData,an.Video=e.Video||an.Video,an.fetch=e.fetch||an.fetch,an.readFile=e.readFile||an.readFile}var Qe={getEnv:dpe,setEnv:s1,initialize:i1,createBrowserEnv:n1,createFileSystem:Bf,createNodejsEnv:a1,monkeyPatch:hpe,isBrowser:r1,isNodejs:od};i1();function Xu(e){return!Qe.isNodejs()&&typeof e=="string"?document.getElementById(e):e}function na(e){let{Canvas:t,CanvasRenderingContext2D:n}=Qe.getEnv();if(e instanceof n)return e;let a=Xu(e);if(!(a instanceof t))throw new Error("resolveContext2d - expected canvas to be of instance of Canvas");let r=a.getContext("2d");if(!r)throw new Error("resolveContext2d - canvas 2d context is null");return r}var o1=(r=>(r.TOP_LEFT="TOP_LEFT",r.TOP_RIGHT="TOP_RIGHT",r.BOTTOM_LEFT="BOTTOM_LEFT",r.BOTTOM_RIGHT="BOTTOM_RIGHT",r))(o1||{}),Yu=class{constructor(t={}){let{anchorPosition:n,backgroundColor:a,fontColor:r,fontSize:s,fontStyle:i,padding:o}=t;this.anchorPosition=n||"TOP_LEFT",this.backgroundColor=a||"rgba(0, 0, 0, 0.5)",this.fontColor=r||"rgba(255, 255, 255, 1)",this.fontSize=s||14,this.fontStyle=i||"Georgia",this.padding=o||4}},Pr=class{constructor(t,n,a={}){this.text=typeof t=="string"?[t]:t instanceof Pr?t.text:t,this.anchor=n,this.options=new Yu(a)}measureWidth(t){let{padding:n}=this.options;return this.text.map(a=>t.measureText(a).width).reduce((a,r)=>a{let m=l+d.x,f=l+d.y+(h+1)*i;a.fillText(c,m,f)})}};var Wf=class{constructor(t={}){let{boxColor:n,lineWidth:a,label:r,drawLabelOptions:s}=t;this.boxColor=n||"rgba(0, 0, 255, 1)",this.lineWidth=a||2,this.label=r;let i={anchorPosition:"BOTTOM_LEFT",backgroundColor:this.boxColor};this.drawLabelOptions=new Yu({...i,...s})}},ld=class{constructor(t,n={}){this.box=new ut(t),this.options=new Wf(n)}draw(t){let n=na(t),{boxColor:a,lineWidth:r}=this.options,{x:s,y:i,width:o,height:l}=this.box;n.strokeStyle=a,n.lineWidth=r,n.strokeRect(s,i,o,l);let{label:u}=this.options;u&&new Pr([u],{x:s-r/2,y:i},this.options.drawLabelOptions).draw(t)}};function mpe(e,t){(Array.isArray(t)?t:[t]).forEach(a=>{let r=a instanceof xt?a.score:Mr(a)?a.detection.score:void 0,s=a instanceof xt?a.box:Mr(a)?a.detection.box:new ut(a),i=r?`${Io(r)}`:void 0;new ld(s,{label:i}).draw(e)})}function Vf(e){let{Image:t,Video:n}=Qe.getEnv();return e instanceof t&&e.complete||e instanceof n&&e.readyState>=3}function kA(e){return new Promise((t,n)=>{(e instanceof Qe.getEnv().Canvas||Vf(e))&&t(null);function a(s){!s.currentTarget||(s.currentTarget.removeEventListener("load",r),s.currentTarget.removeEventListener("error",a),n(s))}function r(s){!s.currentTarget||(s.currentTarget.removeEventListener("load",r),s.currentTarget.removeEventListener("error",a),t(s))}e.addEventListener("load",r),e.addEventListener("error",a)})}function IA(e){return new Promise((t,n)=>{e instanceof Blob||n(new Error("bufferToImage - expected buf to be of type: Blob"));let a=new FileReader;a.onload=()=>{typeof a.result!="string"&&n(new Error("bufferToImage - expected reader.result to be a string, in onload"));let r=Qe.getEnv().createImageElement();r.onload=()=>t(r),r.onerror=n,r.src=a.result},a.onerror=n,a.readAsDataURL(e)})}function Zu(e){let{Image:t,Video:n}=Qe.getEnv();return e instanceof t?new Cn(e.naturalWidth,e.naturalHeight):e instanceof n?new Cn(e.videoWidth,e.videoHeight):new Cn(e.width,e.height)}function Ju({width:e,height:t}){let{createCanvasElement:n}=Qe.getEnv(),a=n();return a.width=e,a.height=t,a}function Uf(e,t){let{ImageData:n}=Qe.getEnv();if(!(e instanceof n)&&!Vf(e))throw new Error("createCanvasFromMedia - media has not finished loading yet");let{width:a,height:r}=t||Zu(e),s=Ju({width:a,height:r});return e instanceof n?na(s).putImageData(e,0,0):na(s).drawImage(e,0,0,a,r),s}async function SA(e,t){let n=t||Qe.getEnv().createCanvasElement(),[a,r,s]=e.shape.slice(ya(e)?1:0),i=P(()=>e.as3D(a,r,s).toInt());return await co.toPixels(i,n),i.dispose(),n}function l1(e){let{Image:t,Canvas:n,Video:a}=Qe.getEnv();return e instanceof t||e instanceof n||e instanceof a}function TA(e,t,n=!1){let{Image:a,Canvas:r}=Qe.getEnv();if(!(e instanceof a||e instanceof r))throw new Error("imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement");if(t<=0)return Ju({width:1,height:1});let s=Zu(e),i=t/Math.max(s.height,s.width),o=i*s.width,l=i*s.height,u=Ju({width:t,height:t}),p=e instanceof r?e:Uf(e),d=Math.abs(o-l)/2,c=n&&o0&&p.height>0&&na(u).drawImage(p,c,h,o,l),u}var Or=class{constructor(t,n=!1){this._imageTensors=[];this._canvases=[];this._treatAsBatchInput=!1;this._inputDimensions=[];this._inputSize=0;if(!Array.isArray(t))throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${t}`);this._treatAsBatchInput=n,this._batchSize=t.length,t.forEach((a,r)=>{if(Dr(a)){this._imageTensors[r]=a,this._inputDimensions[r]=a.shape;return}if(ya(a)){let i=a.shape[0];if(i!==1)throw new Error(`NetInput - tf.Tensor4D with batchSize ${i} passed, but not supported in input array`);this._imageTensors[r]=a,this._inputDimensions[r]=a.shape.slice(1);return}let s=a instanceof Qe.getEnv().Canvas?a:Uf(a);this._canvases[r]=s,this._inputDimensions[r]=[s.height,s.width,3]})}get imageTensors(){return this._imageTensors}get canvases(){return this._canvases}get isBatchInput(){return this.batchSize>1||this._treatAsBatchInput}get batchSize(){return this._batchSize}get inputDimensions(){return this._inputDimensions}get inputSize(){return this._inputSize}get reshapedInputDimensions(){return dr(this.batchSize,0,1).map((t,n)=>this.getReshapedInputDimensions(n))}getInput(t){return this.canvases[t]||this.imageTensors[t]}getInputDimensions(t){return this._inputDimensions[t]}getInputHeight(t){return this._inputDimensions[t][0]}getInputWidth(t){return this._inputDimensions[t][1]}getReshapedInputDimensions(t){if(typeof this.inputSize!="number")throw new Error("getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet");let n=this.getInputWidth(t),a=this.getInputHeight(t);return t1({width:n,height:a},this.inputSize)}toBatchTensor(t,n=!0){return this._inputSize=t,P(()=>{let a=dr(this.batchSize,0,1).map(s=>{let i=this.getInput(s);if(i instanceof Te){let o=ya(i)?i:hn(i);return o=xA(o,n),(o.shape[1]!==t||o.shape[2]!==t)&&(o=Ir.resizeBilinear(o,[t,t],!1,!1)),o.as3D(t,t,3)}if(i instanceof Qe.getEnv().Canvas)return co.fromPixels(TA(i,t,n));throw new Error(`toBatchTensor - at batchIdx ${s}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${i}`)});return Ft(a.map(s=>oe(s,"float32"))).as4D(this.batchSize,t,t,3)})}};async function vt(e){if(e instanceof Or)return e;let t=Array.isArray(e)?e:[e];if(!t.length)throw new Error("toNetInput - empty array passed as input");let n=r=>Array.isArray(e)?` at input index ${r}:`:"",a=t.map(Xu);return a.forEach((r,s)=>{if(!l1(r)&&!Dr(r)&&!ya(r))throw typeof t[s]=="string"?new Error(`toNetInput -${n(s)} string passed, but could not resolve HTMLElement for element id ${t[s]}`):new Error(`toNetInput -${n(s)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);if(ya(r)){let i=r.shape[0];if(i!==1)throw new Error(`toNetInput -${n(s)} tf.Tensor4D with batchSize ${i} passed, but not supported in input array`)}}),await Promise.all(a.map(r=>l1(r)&&kA(r))),new Or(a,Array.isArray(e))}async function ud(e,t){let{Canvas:n}=Qe.getEnv(),a=e;if(!(e instanceof n)){let i=await vt(e);if(i.batchSize>1)throw new Error("extractFaces - batchSize > 1 not supported");let o=i.getInput(0);a=o instanceof n?o:await SA(o)}let r=na(a);return t.map(i=>i instanceof xt?i.forSize(a.width,a.height).box.floor():i).map(i=>i.clipAtImageBorders(a.width,a.height)).map(({x:i,y:o,width:l,height:u})=>{let p=Ju({width:l,height:u});return l>0&&u>0&&na(p).putImageData(r.getImageData(i,o,l,u),0,0),p})}async function pd(e,t){if(!Dr(e)&&!ya(e))throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");if(ya(e)&&e.shape[0]>1)throw new Error("extractFaceTensors - batchSize > 1 not supported");return P(()=>{let[n,a,r]=e.shape.slice(ya(e)?1:0);return t.map(o=>o instanceof xt?o.forSize(a,n).box:o).map(o=>o.clipAtImageBorders(a,n)).filter(o=>o.width>0&&o.height>0).map(({x:o,y:l,width:u,height:p})=>mo(e.as3D(n,a,r),[l,o,0],[p,u,r]))})}async function Ns(e,t){let{fetch:n}=Qe.getEnv(),a=await n(e,t);if(!(a.status<400))throw new Error(`failed to fetch: (${a.status}) ${a.statusText}, from url: ${a.url}`);return a}async function Kxe(e){let t=await Ns(e),n=await t.blob();if(!n.type.startsWith("image/"))throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${n.type}, for url: ${t.url}`);return IA(n)}async function NA(e){return(await Ns(e)).json()}async function Qxe(e){return new Float32Array(await(await Ns(e)).arrayBuffer())}function CA(e){return new Promise((t,n)=>{e instanceof Blob||n(new Error("bufferToVideo - expected buf to be of type: Blob"));let a=Qe.getEnv().createVideoElement();a.oncanplay=()=>t(a),a.onerror=n,a.playsInline=!0,a.muted=!0,a.src=URL.createObjectURL(e),a.play()})}async function sve(e){let t=await Ns(e),n=await t.blob();if(!n.type.startsWith("video/"))throw new Error(`fetchVideo - expected blob type to be of type video/*, instead have: ${n.type}, for url: ${t.url}`);return CA(n)}function Gf(e,t){let n=`${t}-weights_manifest.json`;if(!e)return{modelBaseUri:"",manifestUri:n};if(e==="/")return{modelBaseUri:"/",manifestUri:`/${n}`};let a=e.startsWith("http://")?"http://":e.startsWith("https://")?"https://":"";e=e.replace(a,"");let r=e.split("/").filter(o=>o),s=e.endsWith(".json")?r[r.length-1]:n,i=a+(e.endsWith(".json")?r.slice(0,r.length-1):r).join("/");return i=e.startsWith("/")?`/${i}`:i,{modelBaseUri:i,manifestUri:i==="/"?`/${s}`:`${i}/${s}`}}async function _A(e,t){let{manifestUri:n,modelBaseUri:a}=Gf(e,t),r=await NA(n);return Ut.loadWeights(r,a)}function dve(e,t,n=!1){let{width:a,height:r}=n?Zu(t):t;return e.width=a,e.height=r,{width:a,height:r}}var cn=class{constructor(t){this._params=void 0;this._paramMappings=[];this._name=t}get params(){return this._params}get paramMappings(){return this._paramMappings}get isLoaded(){return!!this.params}getParamFromPath(t){let{obj:n,objProp:a}=this.traversePropertyPath(t);return n[a]}reassignParamFromPath(t,n){let{obj:a,objProp:r}=this.traversePropertyPath(t);a[r].dispose(),a[r]=n}getParamList(){return this._paramMappings.map(({paramPath:t})=>({path:t,tensor:this.getParamFromPath(t)}))}getTrainableParams(){return this.getParamList().filter(t=>t.tensor instanceof es)}getFrozenParams(){return this.getParamList().filter(t=>!(t.tensor instanceof es))}variable(){this.getFrozenParams().forEach(({path:t,tensor:n})=>{this.reassignParamFromPath(t,n.variable())})}freeze(){this.getTrainableParams().forEach(({path:t,tensor:n})=>{let a=On(n.dataSync());n.dispose(),this.reassignParamFromPath(t,a)})}dispose(t=!0){this.getParamList().forEach(n=>{if(t&&n.tensor.isDisposed)throw new Error(`param tensor has already been disposed for path ${n.path}`);n.tensor.dispose()}),this._params=void 0}serializeParams(){return new Float32Array(this.getParamList().map(({tensor:t})=>Array.from(t.dataSync())).reduce((t,n)=>t.concat(n)))}async load(t){if(t instanceof Float32Array){this.extractWeights(t);return}await this.loadFromUri(t)}async loadFromUri(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromUri - expected model uri`);let n=await _A(t,this.getDefaultModelName());this.loadFromWeightMap(n)}async loadFromDisk(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromDisk - expected model file path`);let{readFile:n}=Qe.getEnv(),{manifestUri:a,modelBaseUri:r}=Gf(t,this.getDefaultModelName()),s=u=>Promise.all(u.map(p=>n(p).then(d=>d.buffer))),i=Ut.weightsLoaderFactory(s),o=JSON.parse((await n(a)).toString()),l=await i(o,r);this.loadFromWeightMap(l)}loadFromWeightMap(t){let{paramMappings:n,params:a}=this.extractParamsFromWeightMap(t);this._paramMappings=n,this._params=a}extractWeights(t){let{paramMappings:n,params:a}=this.extractParams(t);this._paramMappings=n,this._params=a}traversePropertyPath(t){if(!this.params)throw new Error("traversePropertyPath - model has no loaded params");let n=t.split("/").reduce((s,i)=>{if(!s.nextObj.hasOwnProperty(i))throw new Error(`traversePropertyPath - object does not have property ${i}, for path ${t}`);return{obj:s.nextObj,objProp:i,nextObj:s.nextObj[i]}},{nextObj:this.params}),{obj:a,objProp:r}=n;if(!a||!r||!(a[r]instanceof Te))throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${t}`);return{obj:a,objProp:r}}};function Gn(e,t,n){return P(()=>{let a=vs(e,t.depthwise_filter,t.pointwise_filter,n,"same");return a=Y(a,t.bias),a})}function Hf(e,t,n=!1){return P(()=>{let a=Xe(n?Y($t(e,t.conv0.filters,[2,2],"same"),t.conv0.bias):Gn(e,t.conv0,[2,2])),r=Gn(a,t.conv1,[1,1]),s=Xe(Y(a,r)),i=Gn(s,t.conv2,[1,1]);return Xe(Y(a,Y(r,i)))})}function cd(e,t,n=!1,a=!0){return P(()=>{let r=Xe(n?Y($t(e,t.conv0.filters,a?[2,2]:[1,1],"same"),t.conv0.bias):Gn(e,t.conv0,a?[2,2]:[1,1])),s=Gn(r,t.conv1,[1,1]),i=Xe(Y(r,s)),o=Gn(i,t.conv2,[1,1]),l=Xe(Y(r,Y(s,o))),u=Gn(l,t.conv3,[1,1]);return Xe(Y(r,Y(s,Y(o,u))))})}function To(e,t,n="same",a=!1){return P(()=>{let r=Y($t(e,t.filters,[1,1],n),t.bias);return a?Xe(r):r})}function _n(e,t){Object.keys(e).forEach(n=>{t.some(a=>a.originalPath===n)||e[n].dispose()})}function Qu(e,t){return(n,a,r,s)=>{let i=Aa(e(n*a*r*r),[r,r,n,a]),o=Ke(e(a));return t.push({paramPath:`${s}/filters`},{paramPath:`${s}/bias`}),{filters:i,bias:o}}}function jf(e,t){return(n,a,r)=>{let s=Ca(e(n*a),[n,a]),i=Ke(e(a));return t.push({paramPath:`${r}/weights`},{paramPath:`${r}/bias`}),{weights:s,bias:i}}}var dd=class{constructor(t,n,a){this.depthwise_filter=t;this.pointwise_filter=n;this.bias=a}};function ep(e,t){return(n,a,r)=>{let s=Aa(e(9*n),[3,3,n,1]),i=Aa(e(n*a),[1,1,n,a]),o=Ke(e(a));return t.push({paramPath:`${r}/depthwise_filter`},{paramPath:`${r}/pointwise_filter`},{paramPath:`${r}/bias`}),new dd(s,i,o)}}function tp(e){return t=>{let n=e(`${t}/depthwise_filter`,4),a=e(`${t}/pointwise_filter`,4),r=e(`${t}/bias`,1);return new dd(n,a,r)}}function aa(e,t){return(n,a,r)=>{let s=e[n];if(!ko(s,a))throw new Error(`expected weightMap[${n}] to be a Tensor${a}D, instead have ${s}`);return t.push({originalPath:n,paramPath:r||n}),s}}function En(e){let t=e;function n(r){let s=t.slice(0,r);return t=t.slice(r),s}function a(){return t}return{extractWeights:n,getRemainingWeights:a}}function qf(e,t){let n=Qu(e,t),a=ep(e,t);function r(i,o,l,u=!1){let p=u?n(i,o,3,`${l}/conv0`):a(i,o,`${l}/conv0`),d=a(o,o,`${l}/conv1`),c=a(o,o,`${l}/conv2`);return{conv0:p,conv1:d,conv2:c}}function s(i,o,l,u=!1){let{conv0:p,conv1:d,conv2:c}=r(i,o,l,u),h=a(o,o,`${l}/conv3`);return{conv0:p,conv1:d,conv2:c,conv3:h}}return{extractDenseBlock3Params:r,extractDenseBlock4Params:s}}function EA(e){let t=[],{extractWeights:n,getRemainingWeights:a}=En(e),{extractDenseBlock4Params:r}=qf(n,t),s=r(3,32,"dense0",!0),i=r(32,64,"dense1"),o=r(64,128,"dense2"),l=r(128,256,"dense3");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:t,params:{dense0:s,dense1:i,dense2:o,dense3:l}}}function Kf(e){return t=>{let n=e(`${t}/filters`,4),a=e(`${t}/bias`,1);return{filters:n,bias:a}}}function Xf(e,t){let n=aa(e,t),a=Kf(n),r=tp(n);function s(o,l=!1){let u=l?a(`${o}/conv0`):r(`${o}/conv0`),p=r(`${o}/conv1`),d=r(`${o}/conv2`);return{conv0:u,conv1:p,conv2:d}}function i(o,l=!1){let u=l?a(`${o}/conv0`):r(`${o}/conv0`),p=r(`${o}/conv1`),d=r(`${o}/conv2`),c=r(`${o}/conv3`);return{conv0:u,conv1:p,conv2:d,conv3:c}}return{extractDenseBlock3Params:s,extractDenseBlock4Params:i}}function AA(e){let t=[],{extractDenseBlock4Params:n}=Xf(e,t),a={dense0:n("dense0",!0),dense1:n("dense1"),dense2:n("dense2"),dense3:n("dense3")};return _n(e,t),{params:a,paramMappings:t}}var np=class extends cn{constructor(){super("FaceFeatureExtractor")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("FaceFeatureExtractor - load model before inference");return P(()=>{let a=oe(t.toBatchTensor(112,!0),"float32"),s=hr(a,[122.782,117.001,104.298]).div(255),i=cd(s,n.dense0,!0);return i=cd(i,n.dense1),i=cd(i,n.dense2),i=cd(i,n.dense3),i=fa(i,[7,7],[2,2],"valid"),i})}async forward(t){return this.forwardInput(await vt(t))}getDefaultModelName(){return"face_feature_extractor_model"}extractParamsFromWeightMap(t){return AA(t)}extractParams(t){return EA(t)}};function hd(e,t){return P(()=>Y(Ae(e,t.weights),t.bias))}function $A(e,t,n){let a=[],{extractWeights:r,getRemainingWeights:s}=En(e),o=jf(r,a)(t,n,"fc");if(s().length!==0)throw new Error(`weights remaing after extract: ${s().length}`);return{paramMappings:a,params:{fc:o}}}function FA(e){let t=[],n=aa(e,t);function a(s){let i=n(`${s}/weights`,2),o=n(`${s}/bias`,1);return{weights:i,bias:o}}let r={fc:a("fc")};return _n(e,t),{params:r,paramMappings:t}}function Yf(e){let t={},n={};return Object.keys(e).forEach(a=>{let r=a.startsWith("fc")?n:t;r[a]=e[a]}),{featureExtractorMap:t,classifierMap:n}}var ap=class extends cn{constructor(n,a){super(n);this._faceFeatureExtractor=a}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(n){let{params:a}=this;if(!a)throw new Error(`${this._name} - load model before inference`);return P(()=>{let r=n instanceof Or?this.faceFeatureExtractor.forwardInput(n):n;return hd(r.as2D(r.shape[0],-1),a.fc)})}dispose(n=!0){this.faceFeatureExtractor.dispose(n),super.dispose(n)}loadClassifierParams(n){let{params:a,paramMappings:r}=this.extractClassifierParams(n);this._params=a,this._paramMappings=r}extractClassifierParams(n){return $A(n,this.getClassifierChannelsIn(),this.getClassifierChannelsOut())}extractParamsFromWeightMap(n){let{featureExtractorMap:a,classifierMap:r}=Yf(n);return this.faceFeatureExtractor.loadFromWeightMap(a),FA(r)}extractParams(n){let a=this.getClassifierChannelsIn(),r=this.getClassifierChannelsOut(),s=r*a+r,i=n.slice(0,n.length-s),o=n.slice(n.length-s);return this.faceFeatureExtractor.extractWeights(i),this.extractClassifierParams(o)}};var DA=["neutral","happy","sad","angry","fearful","disgusted","surprised"],Cs=class{constructor(t){this.neutral=0;this.happy=0;this.sad=0;this.angry=0;this.fearful=0;this.disgusted=0;this.surprised=0;if(t.length!==7)throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${t.length}`);DA.forEach((n,a)=>{this[n]=t[a]})}asSortedArray(){return DA.map(t=>({expression:t,probability:this[t]})).sort((t,n)=>n.probability-t.probability)}};var Zf=class extends ap{constructor(t=new np){super("FaceExpressionNet",t)}forwardInput(t){return P(()=>ja(this.runNet(t)))}async forward(t){return this.forwardInput(await vt(t))}async predictExpressions(t){let n=await vt(t),a=await this.forwardInput(n),r=await Promise.all(ct(a).map(async i=>{let o=i.dataSync();return i.dispose(),o}));a.dispose();let s=r.map(i=>new Cs(i));return n.isBatchInput?s:s[0]}getDefaultModelName(){return"face_expression_model"}getClassifierChannelsIn(){return 256}getClassifierChannelsOut(){return 7}};function RA(e){return e.expressions instanceof Cs}function u1(e,t){return{...e,...{expressions:t}}}function fpe(e,t,n=.1,a){(Array.isArray(t)?t:[t]).forEach(s=>{let i=s instanceof Cs?s:RA(s)?s.expressions:void 0;if(!i)throw new Error("drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof");let l=i.asSortedArray().filter(d=>d.probability>n),u=Mr(s)?s.detection.box.bottomLeft:a||new Me(0,0);new Pr(l.map(d=>`${d.expression} (${Io(d.probability)})`),u).draw(e)})}function rp(e){return Mr(e)&&e.landmarks instanceof xa&&e.unshiftedLandmarks instanceof xa&&e.alignedRect instanceof xt}function gpe(e){let t=(o,l,u,p)=>Math.atan2(p-l,u-o)%Math.PI,n=o=>o*180/Math.PI,a={roll:void 0,pitch:void 0,yaw:void 0};if(!e||!e._positions||e._positions.length!==68)return a;let r=e._positions;a.roll=-t(r[36]._x,r[36]._y,r[45]._x,r[45]._y),a.pitch=t(0,Math.abs(r[0]._x-r[30]._x)/r[30]._x,Math.PI,Math.abs(r[16]._x-r[30]._x)/r[30]._x);let s=r.reduce((o,l)=>oo>l._y?o:l._y,-1/0);return a.yaw=Math.PI*(e._imgDims._height/(i-s)/1.4-1),a}function md(e,t){let{box:n}=e.detection,a=t.shiftBy(n.x,n.y),r=a.align(),{imageDims:s}=e.detection,i=new xt(e.detection.score,r.rescale(s.reverse()),s),o=gpe(t);return{...e,...{landmarks:a,unshiftedLandmarks:t,alignedRect:i,angle:o}}}var Jf=class{constructor(t={}){let{drawLines:n=!0,drawPoints:a=!0,lineWidth:r,lineColor:s,pointSize:i,pointColor:o}=t;this.drawLines=n,this.drawPoints=a,this.lineWidth=r||1,this.pointSize=i||2,this.lineColor=s||"rgba(0, 255, 255, 1)",this.pointColor=o||"rgba(255, 0, 255, 1)"}},Qf=class{constructor(t,n={}){this.faceLandmarks=t,this.options=new Jf(n)}draw(t){let n=na(t),{drawLines:a,drawPoints:r,lineWidth:s,lineColor:i,pointSize:o,pointColor:l}=this.options;if(a&&this.faceLandmarks instanceof qu&&(n.strokeStyle=i,n.lineWidth=s,Fr(n,this.faceLandmarks.getJawOutline()),Fr(n,this.faceLandmarks.getLeftEyeBrow()),Fr(n,this.faceLandmarks.getRightEyeBrow()),Fr(n,this.faceLandmarks.getNose()),Fr(n,this.faceLandmarks.getLeftEye(),!0),Fr(n,this.faceLandmarks.getRightEye(),!0),Fr(n,this.faceLandmarks.getMouth(),!0)),r){n.strokeStyle=l,n.fillStyle=l;let u=p=>{n.beginPath(),n.arc(p.x,p.y,o,0,2*Math.PI),n.fill()};this.faceLandmarks.positions.forEach(u)}}};function bpe(e,t){(Array.isArray(t)?t:[t]).forEach(a=>{let r=a instanceof xa?a:rp(a)?a.landmarks:void 0;if(!r)throw new Error("drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks> or array thereof");new Qf(r).draw(e)})}var PA="1.7.4";function vpe(e,t){let n=Qu(e,t),a=ep(e,t);function r(i,o,l){let u=a(i,o,`${l}/separable_conv0`),p=a(o,o,`${l}/separable_conv1`),d=n(i,o,1,`${l}/expansion_conv`);return{separable_conv0:u,separable_conv1:p,expansion_conv:d}}function s(i,o){let l=a(i,i,`${o}/separable_conv0`),u=a(i,i,`${o}/separable_conv1`),p=a(i,i,`${o}/separable_conv2`);return{separable_conv0:l,separable_conv1:u,separable_conv2:p}}return{extractConvParams:n,extractSeparableConvParams:a,extractReductionBlockParams:r,extractMainBlockParams:s}}function OA(e,t){let n=[],{extractWeights:a,getRemainingWeights:r}=En(e),{extractConvParams:s,extractSeparableConvParams:i,extractReductionBlockParams:o,extractMainBlockParams:l}=vpe(a,n),u=s(3,32,3,"entry_flow/conv_in"),p=o(32,64,"entry_flow/reduction_block_0"),d=o(64,128,"entry_flow/reduction_block_1"),c={conv_in:u,reduction_block_0:p,reduction_block_1:d},h={};dr(t,0,1).forEach(b=>{h[`main_block_${b}`]=l(128,`middle_flow/main_block_${b}`)});let m=o(128,256,"exit_flow/reduction_block"),f=i(256,512,"exit_flow/separable_conv"),g={reduction_block:m,separable_conv:f};if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:n,params:{entry_flow:c,middle_flow:h,exit_flow:g}}}function wpe(e,t){let n=aa(e,t),a=Kf(n),r=tp(n);function s(o){let l=r(`${o}/separable_conv0`),u=r(`${o}/separable_conv1`),p=a(`${o}/expansion_conv`);return{separable_conv0:l,separable_conv1:u,expansion_conv:p}}function i(o){let l=r(`${o}/separable_conv0`),u=r(`${o}/separable_conv1`),p=r(`${o}/separable_conv2`);return{separable_conv0:l,separable_conv1:u,separable_conv2:p}}return{extractConvParams:a,extractSeparableConvParams:r,extractReductionBlockParams:s,extractMainBlockParams:i}}function LA(e,t){let n=[],{extractConvParams:a,extractSeparableConvParams:r,extractReductionBlockParams:s,extractMainBlockParams:i}=wpe(e,n),o=a("entry_flow/conv_in"),l=s("entry_flow/reduction_block_0"),u=s("entry_flow/reduction_block_1"),p={conv_in:o,reduction_block_0:l,reduction_block_1:u},d={};dr(t,0,1).forEach(f=>{d[`main_block_${f}`]=i(`middle_flow/main_block_${f}`)});let c=s("exit_flow/reduction_block"),h=r("exit_flow/separable_conv"),m={reduction_block:c,separable_conv:h};return _n(e,n),{params:{entry_flow:p,middle_flow:d,exit_flow:m},paramMappings:n}}function zA(e,t,n){return Y($t(e,t.filters,n,"same"),t.bias)}function p1(e,t,n=!0){let a=n?Xe(e):e;return a=Gn(a,t.separable_conv0,[1,1]),a=Gn(Xe(a),t.separable_conv1,[1,1]),a=Dt(a,[3,3],[2,2],"same"),a=Y(a,zA(e,t.expansion_conv,[2,2])),a}function kpe(e,t){let n=Gn(Xe(e),t.separable_conv0,[1,1]);return n=Gn(Xe(n),t.separable_conv1,[1,1]),n=Gn(Xe(n),t.separable_conv2,[1,1]),n=Y(n,e),n}var eg=class extends cn{constructor(n){super("TinyXception");this._numMainBlocks=n}forwardInput(n){let{params:a}=this;if(!a)throw new Error("TinyXception - load model before inference");return P(()=>{let r=oe(n.toBatchTensor(112,!0),"float32"),i=hr(r,[122.782,117.001,104.298]).div(255),o=Xe(zA(i,a.entry_flow.conv_in,[2,2]));return o=p1(o,a.entry_flow.reduction_block_0,!1),o=p1(o,a.entry_flow.reduction_block_1),dr(this._numMainBlocks,0,1).forEach(l=>{o=kpe(o,a.middle_flow[`main_block_${l}`])}),o=p1(o,a.exit_flow.reduction_block),o=Xe(Gn(o,a.exit_flow.separable_conv,[1,1])),o})}async forward(n){return this.forwardInput(await vt(n))}getDefaultModelName(){return"tiny_xception_model"}extractParamsFromWeightMap(n){return LA(n,this._numMainBlocks)}extractParams(n){return OA(n,this._numMainBlocks)}};function BA(e){let t=[],{extractWeights:n,getRemainingWeights:a}=En(e),r=jf(n,t),s=r(512,1,"fc/age"),i=r(512,2,"fc/gender");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:t,params:{fc:{age:s,gender:i}}}}function WA(e){let t=[],n=aa(e,t);function a(s){let i=n(`${s}/weights`,2),o=n(`${s}/bias`,1);return{weights:i,bias:o}}let r={fc:{age:a("fc/age"),gender:a("fc/gender")}};return _n(e,t),{params:r,paramMappings:t}}var c1=(n=>(n.FEMALE="female",n.MALE="male",n))(c1||{});var tg=class extends cn{constructor(n=new eg(2)){super("AgeGenderNet");this._faceFeatureExtractor=n}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(n){let{params:a}=this;if(!a)throw new Error(`${this._name} - load model before inference`);return P(()=>{let r=n instanceof Or?this.faceFeatureExtractor.forwardInput(n):n,s=fa(r,[7,7],[2,2],"valid").as2D(r.shape[0],-1),i=hd(s,a.fc.age).as1D(),o=hd(s,a.fc.gender);return{age:i,gender:o}})}forwardInput(n){return P(()=>{let{age:a,gender:r}=this.runNet(n);return{age:a,gender:ja(r)}})}async forward(n){return this.forwardInput(await vt(n))}async predictAgeAndGender(n){let a=await vt(n),r=await this.forwardInput(a),s=ct(r.age),i=ct(r.gender),o=s.map((u,p)=>({ageTensor:u,genderTensor:i[p]})),l=await Promise.all(o.map(async({ageTensor:u,genderTensor:p})=>{let d=u.dataSync()[0],c=p.dataSync()[0],h=c>.5,m=h?"male":"female",f=h?c:1-c;return u.dispose(),p.dispose(),{age:d,gender:m,genderProbability:f}}));return r.age.dispose(),r.gender.dispose(),a.isBatchInput?l:l[0]}getDefaultModelName(){return"age_gender_model"}dispose(n=!0){this.faceFeatureExtractor.dispose(n),super.dispose(n)}loadClassifierParams(n){let{params:a,paramMappings:r}=this.extractClassifierParams(n);this._params=a,this._paramMappings=r}extractClassifierParams(n){return BA(n)}extractParamsFromWeightMap(n){let{featureExtractorMap:a,classifierMap:r}=Yf(n);return this.faceFeatureExtractor.loadFromWeightMap(a),WA(r)}extractParams(n){let r=n.slice(0,n.length-1539),s=n.slice(n.length-1539);return this.faceFeatureExtractor.extractWeights(r),this.extractClassifierParams(s)}};var sp=class extends ap{postProcess(t,n,a){let r=a.map(({width:i,height:o})=>{let l=n/Math.max(o,i);return{width:i*l,height:o*l}}),s=r.length;return P(()=>{let i=(d,c)=>Ft([gn([68],d,"float32"),gn([68],c,"float32")],1).as2D(1,136).as1D(),o=(d,c)=>{let{width:h,height:m}=r[d];return c(h,m)?Math.abs(h-m)/2:0},l=d=>o(d,(c,h)=>co(d,(c,h)=>hi(l(c),u(c))))).div(Ft(Array.from(Array(s),(d,c)=>i(r[c].width,r[c].height))))})}forwardInput(t){return P(()=>{let n=this.runNet(t);return this.postProcess(n,t.inputSize,t.inputDimensions.map(([a,r])=>({height:a,width:r})))})}async forward(t){return this.forwardInput(await vt(t))}async detectLandmarks(t){let n=await vt(t),a=P(()=>ct(this.forwardInput(n))),r=await Promise.all(a.map(async(s,i)=>{let o=Array.from(s.dataSync()),l=o.filter((p,d)=>Of(d)),u=o.filter((p,d)=>!Of(d));return new qu(Array(68).fill(0).map((p,d)=>new Me(l[d],u[d])),{height:n.getInputHeight(i),width:n.getInputWidth(i)})}));return a.forEach(s=>s.dispose()),n.isBatchInput?r:r[0]}getClassifierChannelsOut(){return 136}};var ip=class extends sp{constructor(t=new np){super("FaceLandmark68Net",t)}getDefaultModelName(){return"face_landmark_68_model"}getClassifierChannelsIn(){return 256}};function VA(e){let t=[],{extractDenseBlock3Params:n}=Xf(e,t),a={dense0:n("dense0",!0),dense1:n("dense1"),dense2:n("dense2")};return _n(e,t),{params:a,paramMappings:t}}function UA(e){let t=[],{extractWeights:n,getRemainingWeights:a}=En(e),{extractDenseBlock3Params:r}=qf(n,t),s=r(3,32,"dense0",!0),i=r(32,64,"dense1"),o=r(64,128,"dense2");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:t,params:{dense0:s,dense1:i,dense2:o}}}var ng=class extends cn{constructor(){super("TinyFaceFeatureExtractor")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("TinyFaceFeatureExtractor - load model before inference");return P(()=>{let a=oe(t.toBatchTensor(112,!0),"float32"),s=hr(a,[122.782,117.001,104.298]).div(255),i=Hf(s,n.dense0,!0);return i=Hf(i,n.dense1),i=Hf(i,n.dense2),i=fa(i,[14,14],[2,2],"valid"),i})}async forward(t){return this.forwardInput(await vt(t))}getDefaultModelName(){return"face_feature_extractor_tiny_model"}extractParamsFromWeightMap(t){return VA(t)}extractParams(t){return UA(t)}};var ag=class extends sp{constructor(t=new ng){super("FaceLandmark68TinyNet",t)}getDefaultModelName(){return"face_landmark_68_tiny_model"}getClassifierChannelsIn(){return 128}};var GA=class extends ip{};function HA(e,t){return Y(z(e,t.weights),t.biases)}function d1(e,t,n,a,r="same"){let{filters:s,bias:i}=t.conv,o=$t(e,s,n,r);return o=Y(o,i),o=HA(o,t.scale),a?Xe(o):o}function jA(e,t){return d1(e,t,[1,1],!0)}function h1(e,t){return d1(e,t,[1,1],!1)}function rg(e,t){return d1(e,t,[2,2],!0,"valid")}function Ipe(e,t){function n(o,l,u){let p=e(o),d=p.length/(l*u*u);if(e1(d))throw new Error(`depth has to be an integer: ${d}, weights.length: ${p.length}, numFilters: ${l}, filterSize: ${u}`);return P(()=>Ce(Aa(p,[l,d,u,u]),[2,3,1,0]))}function a(o,l,u,p){let d=n(o,l,u),c=Ke(e(l));return t.push({paramPath:`${p}/filters`},{paramPath:`${p}/bias`}),{filters:d,bias:c}}function r(o,l){let u=Ke(e(o)),p=Ke(e(o));return t.push({paramPath:`${l}/weights`},{paramPath:`${l}/biases`}),{weights:u,biases:p}}function s(o,l,u,p){let d=a(o,l,u,`${p}/conv`),c=r(l,`${p}/scale`);return{conv:d,scale:c}}function i(o,l,u,p,d=!1){let c=s((d?.5:1)*o,l,u,`${p}/conv1`),h=s(o,l,u,`${p}/conv2`);return{conv1:c,conv2:h}}return{extractConvLayerParams:s,extractResidualLayerParams:i}}function qA(e){let{extractWeights:t,getRemainingWeights:n}=En(e),a=[],{extractConvLayerParams:r,extractResidualLayerParams:s}=Ipe(t,a),i=r(4704,32,7,"conv32_down"),o=s(9216,32,3,"conv32_1"),l=s(9216,32,3,"conv32_2"),u=s(9216,32,3,"conv32_3"),p=s(36864,64,3,"conv64_down",!0),d=s(36864,64,3,"conv64_1"),c=s(36864,64,3,"conv64_2"),h=s(36864,64,3,"conv64_3"),m=s(147456,128,3,"conv128_down",!0),f=s(147456,128,3,"conv128_1"),g=s(147456,128,3,"conv128_2"),b=s(589824,256,3,"conv256_down",!0),y=s(589824,256,3,"conv256_1"),x=s(589824,256,3,"conv256_2"),w=s(589824,256,3,"conv256_down_out"),I=P(()=>Ce(Ca(t(256*128),[128,256]),[1,0]));if(a.push({paramPath:"fc"}),n().length!==0)throw new Error(`weights remaing after extract: ${n().length}`);return{params:{conv32_down:i,conv32_1:o,conv32_2:l,conv32_3:u,conv64_down:p,conv64_1:d,conv64_2:c,conv64_3:h,conv128_down:m,conv128_1:f,conv128_2:g,conv256_down:b,conv256_1:y,conv256_2:x,conv256_down_out:w,fc:I},paramMappings:a}}function Spe(e,t){let n=aa(e,t);function a(i){let o=n(`${i}/scale/weights`,1),l=n(`${i}/scale/biases`,1);return{weights:o,biases:l}}function r(i){let o=n(`${i}/conv/filters`,4),l=n(`${i}/conv/bias`,1),u=a(i);return{conv:{filters:o,bias:l},scale:u}}function s(i){return{conv1:r(`${i}/conv1`),conv2:r(`${i}/conv2`)}}return{extractConvLayerParams:r,extractResidualLayerParams:s}}function KA(e){let t=[],{extractConvLayerParams:n,extractResidualLayerParams:a}=Spe(e,t),r=n("conv32_down"),s=a("conv32_1"),i=a("conv32_2"),o=a("conv32_3"),l=a("conv64_down"),u=a("conv64_1"),p=a("conv64_2"),d=a("conv64_3"),c=a("conv128_down"),h=a("conv128_1"),m=a("conv128_2"),f=a("conv256_down"),g=a("conv256_1"),b=a("conv256_2"),y=a("conv256_down_out"),{fc:x}=e;if(t.push({originalPath:"fc",paramPath:"fc"}),!Q0(x))throw new Error(`expected weightMap[fc] to be a Tensor2D, instead have ${x}`);let w={conv32_down:r,conv32_1:s,conv32_2:i,conv32_3:o,conv64_down:l,conv64_1:u,conv64_2:p,conv64_3:d,conv128_down:c,conv128_1:h,conv128_2:m,conv256_down:f,conv256_1:g,conv256_2:b,conv256_down_out:y,fc:x};return _n(e,t),{params:w,paramMappings:t}}function Xa(e,t){let n=jA(e,t.conv1);return n=h1(n,t.conv2),n=Y(n,e),n=Xe(n),n}function fd(e,t){let n=rg(e,t.conv1);n=h1(n,t.conv2);let a=fa(e,2,2,"valid"),r=It(a.shape),s=a.shape[3]!==n.shape[3];if(a.shape[1]!==n.shape[1]||a.shape[2]!==n.shape[2]){let o=[...n.shape];o[1]=1;let l=It(o);n=Ze([n,l],1);let u=[...n.shape];u[2]=1;let p=It(u);n=Ze([n,p],2)}return a=s?Ze([a,r],3):a,n=Y(a,n),n=Xe(n),n}var op=class extends cn{constructor(){super("FaceRecognitionNet")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("FaceRecognitionNet - load model before inference");return P(()=>{let a=oe(t.toBatchTensor(150,!0),"float32"),s=hr(a,[122.782,117.001,104.298]).div(255),i=rg(s,n.conv32_down);i=Dt(i,3,2,"valid"),i=Xa(i,n.conv32_1),i=Xa(i,n.conv32_2),i=Xa(i,n.conv32_3),i=fd(i,n.conv64_down),i=Xa(i,n.conv64_1),i=Xa(i,n.conv64_2),i=Xa(i,n.conv64_3),i=fd(i,n.conv128_down),i=Xa(i,n.conv128_1),i=Xa(i,n.conv128_2),i=fd(i,n.conv256_down),i=Xa(i,n.conv256_1),i=Xa(i,n.conv256_2),i=fd(i,n.conv256_down_out);let o=i.mean([1,2]);return Ae(o,n.fc)})}async forward(t){return this.forwardInput(await vt(t))}async computeFaceDescriptor(t){var s;if((s=t==null?void 0:t.shape)!=null&&s.some(i=>i<=0))return new Float32Array(128);let n=await vt(t),a=P(()=>ct(this.forwardInput(n))),r=await Promise.all(a.map(i=>i.data()));return a.forEach(i=>i.dispose()),n.isBatchInput?r:r[0]}getDefaultModelName(){return"face_recognition_model"}extractParamsFromWeightMap(t){return KA(t)}extractParams(t){return qA(t)}};function Lke(e){let t=new op;return t.extractWeights(e),t}function m1(e,t){return{...e,...{descriptor:t}}}function Vke(e){return typeof e.age=="number"}function f1(e,t){return{...e,...{age:t}}}function jke(e){return(e.gender==="male"||e.gender==="female")&&Gu(e.genderProbability)}function g1(e,t,n){return{...e,...{gender:t,genderProbability:n}}}function Tpe(e,t){function n(l,u){let p=Aa(e(9*l),[3,3,l,1]),d=Ke(e(l)),c=Ke(e(l)),h=Ke(e(l)),m=Ke(e(l));return t.push({paramPath:`${u}/filters`},{paramPath:`${u}/batch_norm_scale`},{paramPath:`${u}/batch_norm_offset`},{paramPath:`${u}/batch_norm_mean`},{paramPath:`${u}/batch_norm_variance`}),{filters:p,batch_norm_scale:d,batch_norm_offset:c,batch_norm_mean:h,batch_norm_variance:m}}function a(l,u,p,d,c){let h=Aa(e(l*u*p*p),[p,p,l,u]),m=Ke(e(u));return t.push({paramPath:`${d}/filters`},{paramPath:`${d}/${c?"batch_norm_offset":"bias"}`}),{filters:h,bias:m}}function r(l,u,p,d){let{filters:c,bias:h}=a(l,u,p,d,!0);return{filters:c,batch_norm_offset:h}}function s(l,u,p){let d=n(l,`${p}/depthwise_conv`),c=r(l,u,1,`${p}/pointwise_conv`);return{depthwise_conv:d,pointwise_conv:c}}function i(){let l=r(3,32,3,"mobilenetv1/conv_0"),u=s(32,64,"mobilenetv1/conv_1"),p=s(64,128,"mobilenetv1/conv_2"),d=s(128,128,"mobilenetv1/conv_3"),c=s(128,256,"mobilenetv1/conv_4"),h=s(256,256,"mobilenetv1/conv_5"),m=s(256,512,"mobilenetv1/conv_6"),f=s(512,512,"mobilenetv1/conv_7"),g=s(512,512,"mobilenetv1/conv_8"),b=s(512,512,"mobilenetv1/conv_9"),y=s(512,512,"mobilenetv1/conv_10"),x=s(512,512,"mobilenetv1/conv_11"),w=s(512,1024,"mobilenetv1/conv_12"),I=s(1024,1024,"mobilenetv1/conv_13");return{conv_0:l,conv_1:u,conv_2:p,conv_3:d,conv_4:c,conv_5:h,conv_6:m,conv_7:f,conv_8:g,conv_9:b,conv_10:y,conv_11:x,conv_12:w,conv_13:I}}function o(){let l=r(1024,256,1,"prediction_layer/conv_0"),u=r(256,512,3,"prediction_layer/conv_1"),p=r(512,128,1,"prediction_layer/conv_2"),d=r(128,256,3,"prediction_layer/conv_3"),c=r(256,128,1,"prediction_layer/conv_4"),h=r(128,256,3,"prediction_layer/conv_5"),m=r(256,64,1,"prediction_layer/conv_6"),f=r(64,128,3,"prediction_layer/conv_7"),g=a(512,12,1,"prediction_layer/box_predictor_0/box_encoding_predictor"),b=a(512,9,1,"prediction_layer/box_predictor_0/class_predictor"),y=a(1024,24,1,"prediction_layer/box_predictor_1/box_encoding_predictor"),x=a(1024,18,1,"prediction_layer/box_predictor_1/class_predictor"),w=a(512,24,1,"prediction_layer/box_predictor_2/box_encoding_predictor"),I=a(512,18,1,"prediction_layer/box_predictor_2/class_predictor"),T=a(256,24,1,"prediction_layer/box_predictor_3/box_encoding_predictor"),C=a(256,18,1,"prediction_layer/box_predictor_3/class_predictor"),E=a(256,24,1,"prediction_layer/box_predictor_4/box_encoding_predictor"),A=a(256,18,1,"prediction_layer/box_predictor_4/class_predictor"),R=a(128,24,1,"prediction_layer/box_predictor_5/box_encoding_predictor"),F=a(128,18,1,"prediction_layer/box_predictor_5/class_predictor");return{conv_0:l,conv_1:u,conv_2:p,conv_3:d,conv_4:c,conv_5:h,conv_6:m,conv_7:f,box_predictor_0:{box_encoding_predictor:g,class_predictor:b},box_predictor_1:{box_encoding_predictor:y,class_predictor:x},box_predictor_2:{box_encoding_predictor:w,class_predictor:I},box_predictor_3:{box_encoding_predictor:T,class_predictor:C},box_predictor_4:{box_encoding_predictor:E,class_predictor:A},box_predictor_5:{box_encoding_predictor:R,class_predictor:F}}}return{extractMobilenetV1Params:i,extractPredictionLayerParams:o}}function XA(e){let t=[],{extractWeights:n,getRemainingWeights:a}=En(e),{extractMobilenetV1Params:r,extractPredictionLayerParams:s}=Tpe(n,t),i=r(),o=s(),u={extra_dim:Nc(n(5118*4),[1,5118,4])};if(t.push({paramPath:"output_layer/extra_dim"}),a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{params:{mobilenetv1:i,prediction_layer:o,output_layer:u},paramMappings:t}}function Npe(e,t){let n=aa(e,t);function a(u,p,d){let c=n(`${u}/Conv2d_${p}_pointwise/weights`,4,`${d}/filters`),h=n(`${u}/Conv2d_${p}_pointwise/convolution_bn_offset`,1,`${d}/batch_norm_offset`);return{filters:c,batch_norm_offset:h}}function r(u){let p=`mobilenetv1/conv_${u}`,d=`MobilenetV1/Conv2d_${u}_depthwise`,c=`${p}/depthwise_conv`,h=`${p}/pointwise_conv`,m=n(`${d}/depthwise_weights`,4,`${c}/filters`),f=n(`${d}/BatchNorm/gamma`,1,`${c}/batch_norm_scale`),g=n(`${d}/BatchNorm/beta`,1,`${c}/batch_norm_offset`),b=n(`${d}/BatchNorm/moving_mean`,1,`${c}/batch_norm_mean`),y=n(`${d}/BatchNorm/moving_variance`,1,`${c}/batch_norm_variance`);return{depthwise_conv:{filters:m,batch_norm_scale:f,batch_norm_offset:g,batch_norm_mean:b,batch_norm_variance:y},pointwise_conv:a("MobilenetV1",u,h)}}function s(){return{conv_0:a("MobilenetV1",0,"mobilenetv1/conv_0"),conv_1:r(1),conv_2:r(2),conv_3:r(3),conv_4:r(4),conv_5:r(5),conv_6:r(6),conv_7:r(7),conv_8:r(8),conv_9:r(9),conv_10:r(10),conv_11:r(11),conv_12:r(12),conv_13:r(13)}}function i(u,p){let d=n(`${u}/weights`,4,`${p}/filters`),c=n(`${u}/biases`,1,`${p}/bias`);return{filters:d,bias:c}}function o(u){let p=i(`Prediction/BoxPredictor_${u}/BoxEncodingPredictor`,`prediction_layer/box_predictor_${u}/box_encoding_predictor`),d=i(`Prediction/BoxPredictor_${u}/ClassPredictor`,`prediction_layer/box_predictor_${u}/class_predictor`);return{box_encoding_predictor:p,class_predictor:d}}function l(){return{conv_0:a("Prediction",0,"prediction_layer/conv_0"),conv_1:a("Prediction",1,"prediction_layer/conv_1"),conv_2:a("Prediction",2,"prediction_layer/conv_2"),conv_3:a("Prediction",3,"prediction_layer/conv_3"),conv_4:a("Prediction",4,"prediction_layer/conv_4"),conv_5:a("Prediction",5,"prediction_layer/conv_5"),conv_6:a("Prediction",6,"prediction_layer/conv_6"),conv_7:a("Prediction",7,"prediction_layer/conv_7"),box_predictor_0:o(0),box_predictor_1:o(1),box_predictor_2:o(2),box_predictor_3:o(3),box_predictor_4:o(4),box_predictor_5:o(5)}}return{extractMobilenetV1Params:s,extractPredictionLayerParams:l}}function YA(e){let t=[],{extractMobilenetV1Params:n,extractPredictionLayerParams:a}=Npe(e,t),r=e["Output/extra_dim"];if(t.push({originalPath:"Output/extra_dim",paramPath:"output_layer/extra_dim"}),!Dr(r))throw new Error(`expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have ${r}`);let s={mobilenetv1:n(),prediction_layer:a(),output_layer:{extra_dim:r}};return _n(e,t),{params:s,paramMappings:t}}function Da(e,t,n){return P(()=>{let a=$t(e,t.filters,n,"same");return a=Y(a,t.batch_norm_offset),Qt(a,0,6)})}var Cpe=.0010000000474974513;function _pe(e,t,n){return P(()=>{let a=bs(e,t.filters,n,"same");return a=gs(a,t.batch_norm_mean,t.batch_norm_variance,t.batch_norm_offset,t.batch_norm_scale,Cpe),Qt(a,0,6)})}function Epe(e){return[2,4,6,12].some(t=>t===e)?[2,2]:[1,1]}function ZA(e,t){return P(()=>{let n,a=Da(e,t.conv_0,[2,2]);if([t.conv_1,t.conv_2,t.conv_3,t.conv_4,t.conv_5,t.conv_6,t.conv_7,t.conv_8,t.conv_9,t.conv_10,t.conv_11,t.conv_12,t.conv_13].forEach((s,i)=>{let o=i+1,l=Epe(o);a=_pe(a,s.depthwise_conv,l),a=Da(a,s.pointwise_conv,[1,1]),o===11&&(n=a)}),n===null)throw new Error("mobileNetV1 - output of conv layer 11 is null");return{out:a,conv11:n}})}function Ape(e,t,n){let a=e.arraySync(),r=Math.min(a[t][0],a[t][2]),s=Math.min(a[t][1],a[t][3]),i=Math.max(a[t][0],a[t][2]),o=Math.max(a[t][1],a[t][3]),l=Math.min(a[n][0],a[n][2]),u=Math.min(a[n][1],a[n][3]),p=Math.max(a[n][0],a[n][2]),d=Math.max(a[n][1],a[n][3]),c=(i-r)*(o-s),h=(p-l)*(d-u);if(c<=0||h<=0)return 0;let m=Math.max(r,l),f=Math.max(s,u),g=Math.min(i,p),b=Math.min(o,d),y=Math.max(g-m,0)*Math.max(b-f,0);return y/(c+h-y)}function JA(e,t,n,a,r){let s=e.shape[0],i=Math.min(n,s),o=t.map((p,d)=>({score:p,boxIndex:d})).filter(p=>p.score>r).sort((p,d)=>d.score-p.score),l=p=>p<=a?1:0,u=[];return o.forEach(p=>{if(u.length>=i)return;let d=p.score;for(let c=u.length-1;c>=0;--c){let h=Ape(e,p.boxIndex,u[c]);if(h!==0&&(p.score*=l(h),p.score<=r))break}d===p.score&&u.push(p.boxIndex)}),u}function $pe(e){let t=ct(Ce(e,[1,0])),n=[pe(t[2],t[0]),pe(t[3],t[1])],a=[Y(t[0],he(n[0],2)),Y(t[1],he(n[1],2))];return{sizes:n,centers:a}}function Fpe(e,t){let{sizes:n,centers:a}=$pe(e),r=ct(Ce(t,[1,0])),s=he(z(fn(he(r[2],5)),n[0]),2),i=Y(z(he(r[0],10),n[0]),a[0]),o=he(z(fn(he(r[3],5)),n[1]),2),l=Y(z(he(r[1],10),n[1]),a[1]);return Ce(Ft([pe(i,s),pe(l,o),Y(i,s),Y(l,o)]),[1,0])}function QA(e,t,n){return P(()=>{let a=e.shape[0],r=Fpe(B(Pn(n.extra_dim,[a,1,1]),[-1,4]),B(e,[-1,4]));r=B(r,[a,r.shape[0]/a,4]);let s=da(We(t,[0,0,1],[-1,-1,-1])),i=We(s,[0,0,0],[-1,-1,1]);i=B(i,[a,i.shape[1]]);let o=ct(r),l=ct(i);return{boxes:o,scores:l}})}function No(e,t){return P(()=>{let n=e.shape[0],a=B(To(e,t.box_encoding_predictor),[n,-1,1,4]),r=B(To(e,t.class_predictor),[n,-1,3]);return{boxPredictionEncoding:a,classPrediction:r}})}function e$(e,t,n){return P(()=>{let a=Da(e,n.conv_0,[1,1]),r=Da(a,n.conv_1,[2,2]),s=Da(r,n.conv_2,[1,1]),i=Da(s,n.conv_3,[2,2]),o=Da(i,n.conv_4,[1,1]),l=Da(o,n.conv_5,[2,2]),u=Da(l,n.conv_6,[1,1]),p=Da(u,n.conv_7,[2,2]),d=No(t,n.box_predictor_0),c=No(e,n.box_predictor_1),h=No(r,n.box_predictor_2),m=No(i,n.box_predictor_3),f=No(l,n.box_predictor_4),g=No(p,n.box_predictor_5),b=Ze([d.boxPredictionEncoding,c.boxPredictionEncoding,h.boxPredictionEncoding,m.boxPredictionEncoding,f.boxPredictionEncoding,g.boxPredictionEncoding],1),y=Ze([d.classPrediction,c.classPrediction,h.classPrediction,m.classPrediction,f.classPrediction,g.classPrediction],1);return{boxPredictions:b,classPredictions:y}})}var Ra=class{constructor({minConfidence:t,maxResults:n}={}){this._name="SsdMobilenetv1Options";if(this._minConfidence=t||.5,this._maxResults=n||100,typeof this._minConfidence!="number"||this._minConfidence<=0||this._minConfidence>=1)throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);if(typeof this._maxResults!="number")throw new Error(`${this._name} - expected maxResults to be a number`)}get minConfidence(){return this._minConfidence}get maxResults(){return this._maxResults}};var Co=class extends cn{constructor(){super("SsdMobilenetv1")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("SsdMobilenetv1 - load model before inference");return P(()=>{let a=oe(t.toBatchTensor(512,!1),"float32"),r=pe(he(a,127.5),1),s=ZA(r,n.mobilenetv1),{boxPredictions:i,classPredictions:o}=e$(s.out,s.conv11,n.prediction_layer);return QA(i,o,n.output_layer)})}async forward(t){return this.forwardInput(await vt(t))}async locateFaces(t,n={}){let{maxResults:a,minConfidence:r}=new Ra(n),s=await vt(t),{boxes:i,scores:o}=this.forwardInput(s),l=i[0],u=o[0];for(let x=1;x{let[w,I]=[Math.max(0,b[x][0]),Math.min(1,b[x][2])].map(E=>E*g),[T,C]=[Math.max(0,b[x][1]),Math.min(1,b[x][3])].map(E=>E*f);return new xt(p[x],new ju(T,w,C-T,I-w),{height:s.getInputHeight(0),width:s.getInputWidth(0)})});return l.dispose(),u.dispose(),y}getDefaultModelName(){return"ssd_mobilenetv1_model"}extractParamsFromWeightMap(t){return YA(t)}extractParams(t){return XA(t)}};function Dpe(e){let t=new Co;return t.extractWeights(e),t}function LIe(e){return Dpe(e)}var t$=class extends Co{};var n$=.4,a$=[new Me(.738768,.874946),new Me(2.42204,2.65704),new Me(4.30971,7.04493),new Me(10.246,4.59428),new Me(12.6868,11.8741)],r$=[new Me(1.603231,2.094468),new Me(6.041143,7.080126),new Me(2.882459,3.518061),new Me(4.266906,5.178857),new Me(9.041765,10.66308)],s$=[117.001,114.697,97.404],i$="tiny_yolov2_model",o$="tiny_yolov2_separable_conv_model";var sg=e=>typeof e=="number";function l$(e){if(!e)throw new Error(`invalid config: ${e}`);if(typeof e.withSeparableConvs!="boolean")throw new Error(`config.withSeparableConvs has to be a boolean, have: ${e.withSeparableConvs}`);if(!sg(e.iouThreshold)||e.iouThreshold<0||e.iouThreshold>1)throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${e.iouThreshold}`);if(!Array.isArray(e.classes)||!e.classes.length||!e.classes.every(t=>typeof t=="string"))throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(e.classes)}`);if(!Array.isArray(e.anchors)||!e.anchors.length||!e.anchors.map(t=>t||{}).every(t=>sg(t.x)&&sg(t.y)))throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(e.anchors)}`);if(e.meanRgb&&(!Array.isArray(e.meanRgb)||e.meanRgb.length!==3||!e.meanRgb.every(sg)))throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(e.meanRgb)}`)}function lp(e){return P(()=>{let t=z(e,ye(.10000000149011612));return Y(Xe(pe(e,t)),t)})}function Lr(e,t){return P(()=>{let n=ga(e,[[0,0],[1,1],[1,1],[0,0]]);return n=$t(n,t.conv.filters,[1,1],"valid"),n=pe(n,t.bn.sub),n=z(n,t.bn.truediv),n=Y(n,t.conv.bias),lp(n)})}function zr(e,t){return P(()=>{let n=ga(e,[[0,0],[1,1],[1,1],[0,0]]);return n=vs(n,t.depthwise_filter,t.pointwise_filter,[1,1],"valid"),n=Y(n,t.bias),lp(n)})}function Rpe(e,t){let n=Qu(e,t);function a(i,o){let l=Ke(e(i)),u=Ke(e(i));return t.push({paramPath:`${o}/sub`},{paramPath:`${o}/truediv`}),{sub:l,truediv:u}}function r(i,o,l){let u=n(i,o,3,`${l}/conv`),p=a(o,`${l}/bn`);return{conv:u,bn:p}}let s=ep(e,t);return{extractConvParams:n,extractConvWithBatchNormParams:r,extractSeparableConvParams:s}}function u$(e,t,n,a){let{extractWeights:r,getRemainingWeights:s}=En(e),i=[],{extractConvParams:o,extractConvWithBatchNormParams:l,extractSeparableConvParams:u}=Rpe(r,i),p;if(t.withSeparableConvs){let[d,c,h,m,f,g,b,y,x]=a,w=t.isFirstLayerConv2d?o(d,c,3,"conv0"):u(d,c,"conv0"),I=u(c,h,"conv1"),T=u(h,m,"conv2"),C=u(m,f,"conv3"),E=u(f,g,"conv4"),A=u(g,b,"conv5"),R=y?u(b,y,"conv6"):void 0,F=x?u(y,x,"conv7"):void 0,S=o(x||y||b,5*n,1,"conv8");p={conv0:w,conv1:I,conv2:T,conv3:C,conv4:E,conv5:A,conv6:R,conv7:F,conv8:S}}else{let[d,c,h,m,f,g,b,y,x]=a,w=l(d,c,"conv0"),I=l(c,h,"conv1"),T=l(h,m,"conv2"),C=l(m,f,"conv3"),E=l(f,g,"conv4"),A=l(g,b,"conv5"),R=l(b,y,"conv6"),F=l(y,x,"conv7"),S=o(x,5*n,1,"conv8");p={conv0:w,conv1:I,conv2:T,conv3:C,conv4:E,conv5:A,conv6:R,conv7:F,conv8:S}}if(s().length!==0)throw new Error(`weights remaing after extract: ${s().length}`);return{params:p,paramMappings:i}}function Mpe(e,t){let n=aa(e,t);function a(o){let l=n(`${o}/sub`,1),u=n(`${o}/truediv`,1);return{sub:l,truediv:u}}function r(o){let l=n(`${o}/filters`,4),u=n(`${o}/bias`,1);return{filters:l,bias:u}}function s(o){let l=r(`${o}/conv`),u=a(`${o}/bn`);return{conv:l,bn:u}}let i=tp(n);return{extractConvParams:r,extractConvWithBatchNormParams:s,extractSeparableConvParams:i}}function p$(e,t){let n=[],{extractConvParams:a,extractConvWithBatchNormParams:r,extractSeparableConvParams:s}=Mpe(e,n),i;if(t.withSeparableConvs){let o=t.filterSizes&&t.filterSizes.length||9;i={conv0:t.isFirstLayerConv2d?a("conv0"):s("conv0"),conv1:s("conv1"),conv2:s("conv2"),conv3:s("conv3"),conv4:s("conv4"),conv5:s("conv5"),conv6:o>7?s("conv6"):void 0,conv7:o>8?s("conv7"):void 0,conv8:a("conv8")}}else i={conv0:r("conv0"),conv1:r("conv1"),conv2:r("conv2"),conv3:r("conv3"),conv4:r("conv4"),conv5:r("conv5"),conv6:r("conv6"),conv7:r("conv7"),conv8:a("conv8")};return _n(e,n),{params:i,paramMappings:n}}var mr=class{constructor({inputSize:t,scoreThreshold:n}={}){this._name="TinyYolov2Options";if(this._inputSize=t||416,this._scoreThreshold=n||.5,typeof this._inputSize!="number"||this._inputSize%32!==0)throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);if(typeof this._scoreThreshold!="number"||this._scoreThreshold<=0||this._scoreThreshold>=1)throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`)}get inputSize(){return this._inputSize}get scoreThreshold(){return this._scoreThreshold}};var b1=class extends cn{constructor(n){super("TinyYolov2");l$(n),this._config=n}get config(){return this._config}get withClassScores(){return this.config.withClassScores||this.config.classes.length>1}get boxEncodingSize(){return 5+(this.withClassScores?this.config.classes.length:0)}runTinyYolov2(n,a){let r=Lr(n,a.conv0);return r=Dt(r,[2,2],[2,2],"same"),r=Lr(r,a.conv1),r=Dt(r,[2,2],[2,2],"same"),r=Lr(r,a.conv2),r=Dt(r,[2,2],[2,2],"same"),r=Lr(r,a.conv3),r=Dt(r,[2,2],[2,2],"same"),r=Lr(r,a.conv4),r=Dt(r,[2,2],[2,2],"same"),r=Lr(r,a.conv5),r=Dt(r,[2,2],[1,1],"same"),r=Lr(r,a.conv6),r=Lr(r,a.conv7),To(r,a.conv8,"valid",!1)}runMobilenet(n,a){let r=this.config.isFirstLayerConv2d?lp(To(n,a.conv0,"valid",!1)):zr(n,a.conv0);return r=Dt(r,[2,2],[2,2],"same"),r=zr(r,a.conv1),r=Dt(r,[2,2],[2,2],"same"),r=zr(r,a.conv2),r=Dt(r,[2,2],[2,2],"same"),r=zr(r,a.conv3),r=Dt(r,[2,2],[2,2],"same"),r=zr(r,a.conv4),r=Dt(r,[2,2],[2,2],"same"),r=zr(r,a.conv5),r=Dt(r,[2,2],[1,1],"same"),r=a.conv6?zr(r,a.conv6):r,r=a.conv7?zr(r,a.conv7):r,To(r,a.conv8,"valid",!1)}forwardInput(n,a){let{params:r}=this;if(!r)throw new Error("TinyYolov2 - load model before inference");return P(()=>{let s=oe(n.toBatchTensor(a,!1),"float32");return s=this.config.meanRgb?hr(s,this.config.meanRgb):s,s=s.div(255),this.config.withSeparableConvs?this.runMobilenet(s,r):this.runTinyYolov2(s,r)})}async forward(n,a){return this.forwardInput(await vt(n),a)}async detect(n,a={}){let{inputSize:r,scoreThreshold:s}=new mr(a),i=await vt(n),o=await this.forwardInput(i,r),l=P(()=>ct(o)[0].expandDims()),u={width:i.getInputWidth(0),height:i.getInputHeight(0)},p=await this.extractBoxes(l,i.getReshapedInputDimensions(0),s);o.dispose(),l.dispose();let d=p.map(b=>b.box),c=p.map(b=>b.score),h=p.map(b=>b.classScore),m=p.map(b=>this.config.classes[b.label]);return yA(d.map(b=>b.rescale(r)),c,this.config.iouThreshold,!0).map(b=>new Ts(c[b],h[b],m[b],d[b],u))}getDefaultModelName(){return""}extractParamsFromWeightMap(n){return p$(n,this.config)}extractParams(n){let a=this.config.filterSizes||b1.DEFAULT_FILTER_SIZES,r=a?a.length:void 0;if(r!==7&&r!==8&&r!==9)throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${r} filterSizes in config`);return u$(n,this.config,this.boxEncodingSize,a)}async extractBoxes(n,a,r){let{width:s,height:i}=a,o=Math.max(s,i),l=o/s,u=o/i,p=n.shape[1],d=this.config.anchors.length,[c,h,m]=P(()=>{let y=n.reshape([p,p,d,this.boxEncodingSize]),x=y.slice([0,0,0,0],[p,p,d,4]),w=y.slice([0,0,0,4],[p,p,d,1]),I=this.withClassScores?ja(y.slice([0,0,0,5],[p,p,d,this.config.classes.length]),3):ye(0);return[x,w,I]}),f=[],g=await h.array(),b=await c.array();for(let y=0;yr){let T=(x+zf(b[y][x][w][0]))/p*l,C=(y+zf(b[y][x][w][1]))/p*u,E=Math.exp(b[y][x][w][2])*this.config.anchors[w].x/p*l,A=Math.exp(b[y][x][w][3])*this.config.anchors[w].y/p*u,R=T-E/2,F=C-A/2,S={row:y,col:x,anchor:w},{classScore:M,label:W}=this.withClassScores?await this.extractPredictedClass(m,S):{classScore:1,label:0};f.push({box:new Hu(R,F,R+E,F+A),score:I,classScore:I*M,label:W,...S})}}return c.dispose(),h.dispose(),m.dispose(),f}async extractPredictedClass(n,a){let{row:r,col:s,anchor:i}=a,o=await n.array();return Array(this.config.classes.length).fill(0).map((l,u)=>o[r][s][i][u]).map((l,u)=>({classScore:l,label:u})).reduce((l,u)=>l.classScore>u.classScore?l:u)}},_o=b1;_o.DEFAULT_FILTER_SIZES=[3,16,32,64,128,256,512,1024,1024];var up=class extends _o{constructor(t=!0){let n={withSeparableConvs:t,iouThreshold:n$,classes:["face"],...t?{anchors:r$,meanRgb:s$}:{anchors:a$,withClassScores:!0}};super(n)}get withSeparableConvs(){return this.config.withSeparableConvs}get anchors(){return this.config.anchors}async locateFaces(t,n){return(await this.detect(t,n)).map(r=>new xt(r.score,r.relativeBox,{width:r.imageWidth,height:r.imageHeight}))}getDefaultModelName(){return this.withSeparableConvs?o$:i$}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};function ESe(e,t=!0){let n=new up(t);return n.extractWeights(e),n}var ig=class extends mr{constructor(){super(...arguments);this._name="TinyFaceDetectorOptions"}};var Ma=class{async then(t){return t(await this.run())}async run(){throw new Error("ComposableTask - run is not implemented")}};async function Eo(e,t,n,a,r=({alignedRect:s})=>s){let s=e.map(l=>rp(l)?r(l):l.detection),i=a||(t instanceof Te?await pd(t,s):await ud(t,s)),o=await n(i);return i.forEach(l=>l instanceof Te&&l.dispose()),o}async function pp(e,t,n,a,r){return Eo([e],t,async s=>n(s[0]),a,r)}var c$=.4,d$=[new Me(1.603231,2.094468),new Me(6.041143,7.080126),new Me(2.882459,3.518061),new Me(4.266906,5.178857),new Me(9.041765,10.66308)],h$=[117.001,114.697,97.404];var cp=class extends _o{constructor(){let t={withSeparableConvs:!0,iouThreshold:c$,classes:["face"],anchors:d$,meanRgb:h$,isFirstLayerConv2d:!0,filterSizes:[3,16,32,64,128,256,512]};super(t)}get anchors(){return this.config.anchors}async locateFaces(t,n){return(await this.detect(t,n)).map(r=>new xt(r.score,r.relativeBox,{width:r.imageWidth,height:r.imageHeight}))}getDefaultModelName(){return"tiny_face_detector_model"}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};var et={ssdMobilenetv1:new Co,tinyFaceDetector:new cp,tinyYolov2:new up,faceLandmark68Net:new ip,faceLandmark68TinyNet:new ag,faceRecognitionNet:new op,faceExpressionNet:new Zf,ageGenderNet:new tg},Ppe=(e,t)=>et.ssdMobilenetv1.locateFaces(e,t),sTe=(e,t)=>et.tinyFaceDetector.locateFaces(e,t),iTe=(e,t)=>et.tinyYolov2.locateFaces(e,t),Ope=e=>et.faceLandmark68Net.detectLandmarks(e),oTe=e=>et.faceLandmark68TinyNet.detectLandmarks(e),lTe=e=>et.faceRecognitionNet.computeFaceDescriptor(e),uTe=e=>et.faceExpressionNet.predictExpressions(e),pTe=e=>et.ageGenderNet.predictAgeAndGender(e),Lpe=e=>et.ssdMobilenetv1.load(e),cTe=e=>et.tinyFaceDetector.load(e),dTe=e=>et.tinyYolov2.load(e),hTe=e=>et.faceLandmark68Net.load(e),mTe=e=>et.faceLandmark68TinyNet.load(e),fTe=e=>et.faceRecognitionNet.load(e),gTe=e=>et.faceExpressionNet.load(e),bTe=e=>et.ageGenderNet.load(e),yTe=Lpe,xTe=Ppe,vTe=Ope;var og=class extends Ma{constructor(n,a,r){super();this.parentTask=n;this.input=a;this.extractedFaces=r}},Ao=class extends og{async run(){let t=await this.parentTask,n=await Eo(t,this.input,async a=>Promise.all(a.map(r=>et.faceExpressionNet.predictExpressions(r))),this.extractedFaces);return t.map((a,r)=>u1(a,n[r]))}withAgeAndGender(){return new Fo(this,this.input)}},$o=class extends og{async run(){let t=await this.parentTask;if(!t)return;let n=await pp(t,this.input,a=>et.faceExpressionNet.predictExpressions(a),this.extractedFaces);return u1(t,n)}withAgeAndGender(){return new Do(this,this.input)}},_s=class extends Ao{withAgeAndGender(){return new As(this,this.input)}withFaceDescriptors(){return new Fs(this,this.input)}},Es=class extends $o{withAgeAndGender(){return new $s(this,this.input)}withFaceDescriptor(){return new Ds(this,this.input)}};var lg=class extends Ma{constructor(n,a,r){super();this.parentTask=n;this.input=a;this.extractedFaces=r}},Fo=class extends lg{async run(){let t=await this.parentTask,n=await Eo(t,this.input,async a=>Promise.all(a.map(r=>et.ageGenderNet.predictAgeAndGender(r))),this.extractedFaces);return t.map((a,r)=>{let{age:s,gender:i,genderProbability:o}=n[r];return f1(g1(a,i,o),s)})}withFaceExpressions(){return new Ao(this,this.input)}},Do=class extends lg{async run(){let t=await this.parentTask;if(!t)return;let{age:n,gender:a,genderProbability:r}=await pp(t,this.input,s=>et.ageGenderNet.predictAgeAndGender(s),this.extractedFaces);return f1(g1(t,a,r),n)}withFaceExpressions(){return new $o(this,this.input)}},As=class extends Fo{withFaceExpressions(){return new _s(this,this.input)}withFaceDescriptors(){return new Fs(this,this.input)}},$s=class extends Do{withFaceExpressions(){return new Es(this,this.input)}withFaceDescriptor(){return new Ds(this,this.input)}};var ug=class extends Ma{constructor(n,a){super();this.parentTask=n;this.input=a}},Fs=class extends ug{async run(){let t=await this.parentTask;return(await Eo(t,this.input,a=>Promise.all(a.map(r=>et.faceRecognitionNet.computeFaceDescriptor(r))),null,a=>a.landmarks.align(null,{useDlibAlignment:!0}))).map((a,r)=>m1(t[r],a))}withFaceExpressions(){return new _s(this,this.input)}withAgeAndGender(){return new As(this,this.input)}},Ds=class extends ug{async run(){let t=await this.parentTask;if(!t)return;let n=await pp(t,this.input,a=>et.faceRecognitionNet.computeFaceDescriptor(a),null,a=>a.landmarks.align(null,{useDlibAlignment:!0}));return m1(t,n)}withFaceExpressions(){return new Es(this,this.input)}withAgeAndGender(){return new $s(this,this.input)}};var pg=class extends Ma{constructor(n,a,r){super();this.parentTask=n;this.input=a;this.useTinyLandmarkNet=r}get landmarkNet(){return this.useTinyLandmarkNet?et.faceLandmark68TinyNet:et.faceLandmark68Net}},cg=class extends pg{async run(){let t=await this.parentTask,n=t.map(i=>i.detection),a=this.input instanceof Te?await pd(this.input,n):await ud(this.input,n),r=await Promise.all(a.map(i=>this.landmarkNet.detectLandmarks(i)));return a.forEach(i=>i instanceof Te&&i.dispose()),t.filter((i,o)=>r[o]).map((i,o)=>md(i,r[o]))}withFaceExpressions(){return new _s(this,this.input)}withAgeAndGender(){return new As(this,this.input)}withFaceDescriptors(){return new Fs(this,this.input)}},dg=class extends pg{async run(){let t=await this.parentTask;if(!t)return;let{detection:n}=t,a=this.input instanceof Te?await pd(this.input,[n]):await ud(this.input,[n]),r=await this.landmarkNet.detectLandmarks(a[0]);return a.forEach(s=>s instanceof Te&&s.dispose()),md(t,r)}withFaceExpressions(){return new Es(this,this.input)}withAgeAndGender(){return new $s(this,this.input)}withFaceDescriptor(){return new Ds(this,this.input)}};var hg=class extends Ma{constructor(n,a=new Ra){super();this.input=n;this.options=a}},gd=class extends hg{async run(){let{input:t,options:n}=this,a;if(n instanceof ig)a=et.tinyFaceDetector.locateFaces(t,n);else if(n instanceof Ra)a=et.ssdMobilenetv1.locateFaces(t,n);else if(n instanceof mr)a=et.tinyYolov2.locateFaces(t,n);else throw new Error("detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | TinyYolov2Options");return a}runAndExtendWithFaceDetections(){return new Promise((t,n)=>{this.run().then(a=>t(a.map(r=>Ku({},r)))).catch(a=>n(a))})}withFaceLandmarks(t=!1){return new cg(this.runAndExtendWithFaceDetections(),this.input,t)}withFaceExpressions(){return new Ao(this.runAndExtendWithFaceDetections(),this.input)}withAgeAndGender(){return new Fo(this.runAndExtendWithFaceDetections(),this.input)}},mg=class extends hg{async run(){let t=await new gd(this.input,this.options),n=t[0];return t.forEach(a=>{a.score>n.score&&(n=a)}),n}runAndExtendWithFaceDetection(){return new Promise(async t=>{let n=await this.run();t(n?Ku({},n):void 0)})}withFaceLandmarks(t=!1){return new dg(this.runAndExtendWithFaceDetection(),this.input,t)}withFaceExpressions(){return new $o(this.runAndExtendWithFaceDetection(),this.input)}withAgeAndGender(){return new Do(this.runAndExtendWithFaceDetection(),this.input)}};function bNe(e,t=new Ra){return new mg(e,t)}function y1(e,t=new Ra){return new gd(e,t)}async function zpe(e,t){return y1(e,new Ra(t?{minConfidence:t}:{})).withFaceLandmarks().withFaceDescriptors()}async function INe(e,t={}){return y1(e,new mr(t)).withFaceLandmarks().withFaceDescriptors()}var SNe=zpe;function m$(e,t){if(e.length!==t.length)throw new Error("euclideanDistance: arr1.length !== arr2.length");let n=Array.from(e),a=Array.from(t);return Math.sqrt(n.map((r,s)=>r-a[s]).reduce((r,s)=>r+s*s,0))}var fg=class{constructor(t,n=.6){this._distanceThreshold=n;let a=Array.isArray(t)?t:[t];if(!a.length)throw new Error("FaceRecognizer.constructor - expected atleast one input");let r=1,s=()=>`person ${r++}`;this._labeledDescriptors=a.map(i=>{if(i instanceof Rr)return i;if(i instanceof Float32Array)return new Rr(s(),[i]);if(i.descriptor&&i.descriptor instanceof Float32Array)return new Rr(s(),[i.descriptor]);throw new Error("FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>")})}get labeledDescriptors(){return this._labeledDescriptors}get distanceThreshold(){return this._distanceThreshold}computeMeanDistance(t,n){return n.map(a=>m$(a,t)).reduce((a,r)=>a+r,0)/(n.length||1)}matchDescriptor(t){return this.labeledDescriptors.map(({descriptors:n,label:a})=>new sd(a,this.computeMeanDistance(t,n))).reduce((n,a)=>n.distancet.toJSON())}}static fromJSON(t){let n=t.labeledDescriptors.map(a=>Rr.fromJSON(a));return new fg(n,t.distanceThreshold)}};function VNe(e){let t=new cp;return t.extractWeights(e),t}function Bpe(e,t){let{width:n,height:a}=new Cn(t.width,t.height);if(n<=0||a<=0)throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({width:n,height:a})}`);if(Array.isArray(e))return e.map(r=>Bpe(r,{width:n,height:a}));if(rp(e)){let r=e.detection.forSize(n,a),s=e.unshiftedLandmarks.forSize(r.box.width,r.box.height);return md(Ku(e,r),s)}return Mr(e)?Ku(e,e.detection.forSize(n,a)):e instanceof xa||e instanceof xt?e.forSize(n,a):e}var QNe=PA;export{tg as AgeGenderNet,Hu as BoundingBox,ut as Box,Ma as ComposableTask,Fs as ComputeAllFaceDescriptorsTask,ug as ComputeFaceDescriptorsTaskBase,Ds as ComputeSingleFaceDescriptorTask,cg as DetectAllFaceLandmarksTask,gd as DetectAllFacesTask,pg as DetectFaceLandmarksTaskBase,hg as DetectFacesTaskBase,dg as DetectSingleFaceLandmarksTask,mg as DetectSingleFaceTask,Cn as Dimensions,DA as FACE_EXPRESSION_LABELS,xt as FaceDetection,t$ as FaceDetectionNet,Zf as FaceExpressionNet,Cs as FaceExpressions,ip as FaceLandmark68Net,ag as FaceLandmark68TinyNet,GA as FaceLandmarkNet,xa as FaceLandmarks,vA as FaceLandmarks5,qu as FaceLandmarks68,sd as FaceMatch,fg as FaceMatcher,op as FaceRecognitionNet,c1 as Gender,id as LabeledBox,Rr as LabeledFaceDescriptors,Or as NetInput,cn as NeuralNetwork,Ts as ObjectDetection,Me as Point,wA as PredictedBox,ju as Rect,Co as SsdMobilenetv1,Ra as SsdMobilenetv1Options,cp as TinyFaceDetector,ig as TinyFaceDetectorOptions,up as TinyYolov2,mr as TinyYolov2Options,SNe as allFaces,zpe as allFacesSsdMobilenetv1,INe as allFacesTinyYolov2,kA as awaitMediaLoaded,IA as bufferToImage,lTe as computeFaceDescriptor,Ju as createCanvas,Uf as createCanvasFromMedia,LIe as createFaceDetectionNet,Lke as createFaceRecognitionNet,Dpe as createSsdMobilenetv1,VNe as createTinyFaceDetector,ESe as createTinyYolov2,y1 as detectAllFaces,Ope as detectFaceLandmarks,oTe as detectFaceLandmarksTiny,vTe as detectLandmarks,bNe as detectSingleFace,MA as draw,Qe as env,m$ as euclideanDistance,f1 as extendWithAge,m1 as extendWithFaceDescriptor,Ku as extendWithFaceDetection,u1 as extendWithFaceExpressions,md as extendWithFaceLandmarks,g1 as extendWithGender,pd as extractFaceTensors,ud as extractFaces,Kxe as fetchImage,NA as fetchJson,Qxe as fetchNetWeights,Ns as fetchOrThrow,sve as fetchVideo,na as getContext2dOrThrow,Zu as getMediaDimensions,SA as imageTensorToCanvas,TA as imageToSquare,ube as inverseSigmoid,gA as iou,l1 as isMediaElement,Vf as isMediaLoaded,Vke as isWithAge,Mr as isWithFaceDetection,RA as isWithFaceExpressions,rp as isWithFaceLandmarks,jke as isWithGender,bTe as loadAgeGenderModel,yTe as loadFaceDetectionModel,gTe as loadFaceExpressionModel,hTe as loadFaceLandmarkModel,mTe as loadFaceLandmarkTinyModel,fTe as loadFaceRecognitionModel,Lpe as loadSsdMobilenetv1Model,cTe as loadTinyFaceDetectorModel,dTe as loadTinyYolov2Model,_A as loadWeightMap,xTe as locateFaces,dve as matchDimensions,bA as minBbox,et as nets,yA as nonMaxSuppression,hr as normalize,xA as padToSquare,pTe as predictAgeAndGender,uTe as recognizeFaceExpressions,Bpe as resizeResults,Xu as resolveInput,obe as shuffleArray,zf as sigmoid,Ppe as ssdMobilenetv1,Oe as tf,sTe as tinyFaceDetector,iTe as tinyYolov2,vt as toNetInput,fA as utils,l$ as validateConfig,QNe as version}; + ${r.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=t.dataIdMap.get(a.dataId).id,o=t.dataIdMap.get(r.dataId).id,l=t.dataIdMap.get(s.dataId).id,u=a.shape[0],p=v.sizeFromShape(s.shape),d=t.makeOutput([u,p],a.dtype),c=t.dataIdMap.get(d.dataId).id,h=t.makeOutput([p],s.dtype),m=t.dataIdMap.get(h.dataId).id,f=t.makeOutput([3],"int32"),g=t.dataIdMap.get(f.dataId).id;cA(i,o,l,u,c,m,g);let b=t.readSync(f.dataId),y;switch(b[0]){case 0:{y=N.getSparseReshapeMultipleNegativeOneOutputDimErrorMessage(b[1],b[2]);break}case 1:{y=N.getSparseReshapeNegativeOutputDimErrorMessage(b[1],b[2]);break}case 2:y=N.getSparseReshapeEmptyTensorZeroOutputDimErrorMessage();break;case 3:{let x=Array.from(t.readSync(r.dataId)),w=Array.from(t.readSync(h.dataId));y=N.getSparseReshapeInputOutputMultipleErrorMessage(x,w);break}case 4:{let x=Array.from(t.readSync(r.dataId)),w=Array.from(t.readSync(h.dataId));y=N.getSparseReshapeInputOutputMismatchErrorMessage(x,w);break}default:y=""}if(t.disposeData(f.dataId),y)throw t.disposeData(d.dataId),t.disposeData(h.dataId),new Error(y);return[d,h]}var mue={kernelName:yu,backendName:"wasm",setupFunc:due,kernelFunc:hue},dA;function hA(e){dA=e.wasm.cwrap("SparseSegmentReduction",null,["number","number","number","number","number","number","number","number","number"])}function mA(e,t){let{backend:n,inputs:a}=e,{data:r,indices:s,segmentIds:i}=a,o=s.shape[0],l=n.readSync(i.dataId,o-1,o)[0],u=o>0?l+1:0;if(u<0)throw new Error(N.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let p=r.shape.slice();p[0]=u;let d=n.dataIdMap.get(r.dataId).id,c=n.dataIdMap.get(s.dataId).id,h=n.dataIdMap.get(i.dataId).id,m=n.makeOutput(p,r.dtype),f=n.dataIdMap.get(m.dataId).id,g=n.makeOutput([4],"int32"),b=n.dataIdMap.get(g.dataId).id;dA(d,Et[r.dtype],r.shape[0],c,h,f,b,t,0);let y=n.readSync(g.dataId),x;switch(y[0]){case 0:{x=N.getSparseSegmentReductionNegativeSegmentIdsErrorMessage();break}case 1:{x=N.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage();break}case 2:x=N.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(y[1],y[2]);break;case 3:x=N.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(y[1],y[2],y[3]);break;default:x=""}if(n.disposeData(g.dataId),x)throw n.disposeData(m.dataId),new Error(x);return m}function fue(e){return mA(e,!0)}var gue={kernelName:fc,backendName:"wasm",setupFunc:hA,kernelFunc:fue};function bue(e){return mA(e,!1)}var yue={kernelName:gc,backendName:"wasm",setupFunc:hA,kernelFunc:bue};function xue(e){let{inputs:t,attrs:n,backend:a}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=n,o=v.parseAxisParam(i,r.shape)[0],l=N.prepareSplitSize(r,s,o),u=new Array(r.shape.length).fill(0),p=r.shape.slice();return l.map(d=>{let c=[...p];c[o]=d;let h=di({inputs:{x:r},attrs:{begin:u,size:c},backend:a});return u[o]+=d,h})}var vue={kernelName:bu,backendName:"wasm",kernelFunc:xue},wue=an(ro),kue=an(bc),Iue=!0,Sue=cn(oo,Iue),fA;function Tue(e){fA=e.wasm.cwrap(ms,null,["number","number","number","number"])}function Nue(e){let{backend:t,inputs:n,attrs:a}=e,{alpha:r}=a,{x:s}=n,i=t.dataIdMap.get(s.dataId).id,o=t.makeOutput(s.shape,s.dtype),l=t.dataIdMap.get(o.dataId).id;return fA(i,r,Et[s.dtype],l),o}var Cue={kernelName:ms,backendName:"wasm",setupFunc:Tue,kernelFunc:Nue},gA;function _ue(e){gA=e.wasm.cwrap(xu,null,["number","array","number","array","array","array","array","array","number","number"])}function Eue(e){let{backend:t,inputs:n,attrs:a}=e,{x:r}=n,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:p,newAxisMask:d,shrinkAxisMask:c}=a,{finalShapeSparse:h,finalShape:m,isIdentity:f,sliceDim0:g,isSimpleSlice:b,begin:y,end:x,strides:w}=jt.sliceInfo(r.shape,s,i,o,l,u,p,d,c),I;if(f)I=Wn({inputs:{x:r},backend:t,attrs:{shape:m}});else if(g||b){v.assert(r.shape.length>=1,()=>`Input must have rank at least 1, got: ${r.shape.length}`);let T=jt.computeOutShape(y,x,w),C=di({inputs:{x:r},backend:t,attrs:{begin:y,size:T}});I=Wn({inputs:{x:C},backend:t,attrs:{shape:m}}),t.disposeData(C.dataId)}else{let T=t.makeOutput(h,"float32"),C=t.dataIdMap.get(r.dataId).id,E=new Uint8Array(new Int32Array(v.computeStrides(r.shape)).buffer),A=new Uint8Array(new Int32Array(y).buffer),R=new Uint8Array(new Int32Array(x).buffer),F=new Uint8Array(new Int32Array(w).buffer),S=new Uint8Array(new Int32Array(h).buffer),M=new Uint8Array(new Int32Array(v.computeStrides(h)).buffer),B=t.dataIdMap.get(T.dataId).id;gA(C,E,r.shape.length,A,R,F,S,M,h.length,B),I=Wn({inputs:{x:T},backend:t,attrs:{shape:m}}),t.disposeData(T.dataId)}return I}var Aue={kernelName:xu,backendName:"wasm",setupFunc:_ue,kernelFunc:Eue};function $ue(e){let{backend:t,inputs:n,attrs:a}=e,{data:r,dataSplits:s}=n,{separator:i,nGramWidths:o,leftPad:l,rightPad:u,padWidth:p,preserveShortSequences:d}=a,c=t.readSync(r.dataId),h=t.readSync(s.dataId),[m,f]=R0(c,h,i,o,l,u,p,d),g=t.makeOutput([m.length],"string"),b=t.dataIdMap.get(g.dataId);b.stringBytes=m;let y=t.makeOutput(s.shape,"int32");return t.typedArrayFromHeap(y).set(f),[g,y]}var Fue={kernelName:yc,backendName:"wasm",kernelFunc:$ue};function Due(e){let{backend:t,inputs:n,attrs:a}=e,{input:r,delimiter:s}=n,{skipEmpty:i}=a,o=t.readSync(r.dataId),l=t.readSync(s.dataId),[u,p,d]=M0(o,l[0],i),c=p.length,h=t.makeOutput([c,2],"int32");t.typedArrayFromHeap(h).set(u);let m=t.makeOutput([c],"string"),f=t.dataIdMap.get(m.dataId);f.stringBytes=p;let g=t.makeOutput([2],"int32");return t.typedArrayFromHeap(g).set(d),[h,m,g]}var Rue={kernelName:xc,backendName:"wasm",kernelFunc:Due};function Mue(e){let{backend:t,inputs:n,attrs:a}=e,{input:r}=n,{numBuckets:s}=a,i=t.readSync(r.dataId),o=P0(i,s),l=t.makeOutput(r.shape,"int32");return t.typedArrayFromHeap(l).set(o),l}var Pue={kernelName:vc,backendName:"wasm",kernelFunc:Mue},Oue=!0,Lue=cn(lo,Oue),bA;function zue(e){bA=e.wasm.cwrap(so,null,["number","number","number","number"])}function Wue(e){let{backend:t,inputs:n,attrs:a}=e,{axis:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:d,originalAxes:c,inputWasTransposed:h}=Ss(i,r,t),m=d;if(h){let x=t.dataIdMap.get(p.dataId).id;x!==o&&(u=p,l=x,m=N.getInnerMostAxes(m.length,u.shape.length))}N.assertAxesAreInnerMostDims("sum",m,u.shape.length);let[f,g]=N.computeOutAndReduceShapes(u.shape,m),b=v.sizeFromShape(g),y=t.makeOutput(f,u.dtype);if(v.sizeFromShape(u.shape)!==0){let x=t.dataIdMap.get(y.dataId).id;bA(l,b,Et[y.dtype],x)}if(h&&t.disposeData(p.dataId),s){let x=N.expandShapeToKeepDim(y.shape,c);y.shape=x}return y}var Bue={kernelName:so,backendName:"wasm",setupFunc:zue,kernelFunc:Wue},Vue=an(uo),Uue=an(po),yA;function Gue(e){yA=e.wasm.cwrap(hs,null,["number","array","number","array","number","number"])}function Hue(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,s=n.dataIdMap.get(r.dataId).id,{reps:i}=a,o=new Array(r.shape.length);for(let c=0;c{let{x:a}=e,{k:r,sorted:s}=n,i=t.dataIdMap.get(a.dataId).id,o=new Uint8Array(new Int32Array(a.shape).buffer),l=a.shape.slice();l[l.length-1]=r;let u=t.makeOutput(l,a.dtype),p=t.dataIdMap.get(u.dataId).id,d=t.makeOutput(l,"int32"),c=t.dataIdMap.get(d.dataId).id;return xA(i,o,a.shape.length,Et[a.dtype],r,s,p,c),[u,d]},Xue={kernelName:vu,backendName:"wasm",setupFunc:que,kernelFunc:Kue},vA;function Yue(e){vA=e.wasm.cwrap(wu,null,["number","number","bool","number","number","number","number","number","number","array","number","array","number","number","number","number","number"])}function Zue(e){let{backend:t,inputs:n,attrs:a}=e,{image:r,transforms:s}=n,{interpolation:i,fillMode:o,fillValue:l,outputShape:u}=a,[p,d,c,h]=r.shape,[m,f]=u!=null?u:[d,c],g=[p,m,f,h],b=new Uint8Array(new Int32Array(v.computeStrides(r.shape)).buffer),y=new Uint8Array(new Int32Array(v.computeStrides(g)).buffer),x=t.makeOutput(g,r.dtype),w=t.dataIdMap.get(x.dataId).id,I=t.dataIdMap.get(r.dataId).id,T=t.dataIdMap.get(s.dataId).id,C=i==="nearest"?1:2,E;switch(o){case"constant":E=1;break;case"reflect":E=2;break;case"wrap":E=3;break;case"nearest":E=4;break;default:E=1;break}return vA(I,T,s.shape[0]>1,p,m,f,h,c,d,b,r.shape.length-1,y,g.length-1,C,E,l,w),x}var Jue={kernelName:wu,backendName:"wasm",setupFunc:Yue,kernelFunc:Zue};function Que(e){let{inputs:t,backend:n,attrs:a}=e,{value:r}=t,{axis:s}=a;s<0&&(s+=r.shape.length);let i=r.shape[s],o=r.shape.length,l=new Array(o-1),u=0;for(let h=0;h({dataId:h,dtype:m,shape:l}))}var epe={kernelName:ku,backendName:"wasm",kernelFunc:Que};function tpe(e){let{inputs:{x:t},backend:n}=e,a=n.makeOutput(t.shape,t.dtype);return n.typedArrayFromHeap(a).fill(0),a}var npe={kernelName:Iu,backendName:"wasm",kernelFunc:tpe},ape=[$se,Fse,Rse,Ose,Hse,Kse,Zse,eie,rie,pie,cie,die,fie,gie,xie,kie,Iie,Sie,Cie,Aie,Die,Pie,zie,Wie,Vie,Uie,Gie,Hie,Kie,Xie,Zie,eoe,aoe,ioe,uoe,doe,moe,goe,Lse,xoe,woe,Ioe,Soe,Noe,Coe,Eoe,$oe,Roe,Poe,zoe,Voe,Hoe,qoe,Yoe,Joe,Qoe,nle,sle,lle,ple,hle,fle,ble,QE,wle,Sle,Cle,Ele,$le,Fle,Dle,tie,Ple,zle,Vle,Hle,jle,qle,Yle,Qle,nue,aue,lie,iue,lue,cue,mue,gue,yue,vue,wue,kue,Sue,Cue,Aue,Fue,Rue,Pue,Lue,Bue,Vue,Uue,jue,Xue,Jue,Vse,epe,npe];for(let e of ape)kc(e);var gx=H();gx.registerFlag("WASM_HAS_SIMD_SUPPORT",async()=>{try{return WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,10,9,1,7,0,65,0,253,15,26,11]))}catch(e){return!1}});gx.registerFlag("WASM_HAS_MULTITHREAD_SUPPORT",async()=>{if(gx.get("IS_NODE"))return!1;try{return new MessageChannel().port1.postMessage(new SharedArrayBuffer(1)),WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,5,4,1,3,1,1,10,11,1,9,0,65,0,254,16,2,0,26,11]))}catch(e){return!1}});var fI=us(IF()),rpe=us(SF()),gI=us(TF()),bI=fI.default||fI,spe=gI.default||gI,wA=class extends rc{constructor(e){super(),this.wasm=e,this.dataIdNextNumber=1,this.wasm.tfjs.initWithThreadsCount(kA),bx=this.wasm.tfjs.getThreadsCount(),this.dataIdMap=new jh(this,Na())}write(e,t,n){let a={id:this.dataIdNextNumber++};return this.move(a,e,t,n,1),a}numDataIds(){return this.dataIdMap.numDataIds()}async time(e){let t=v.now();return e(),{kernelMs:v.now()-t}}move(e,t,n,a,r){let s=this.dataIdNextNumber++;if(a==="string"){let u=t;this.dataIdMap.set(e,{id:s,stringBytes:u,shape:n,dtype:a,memoryOffset:null,refCount:r});return}let i=v.sizeFromShape(n),o=i*v.bytesPerElement(a),l=this.wasm._malloc(o);this.dataIdMap.set(e,{id:s,memoryOffset:l,shape:n,dtype:a,refCount:r}),this.wasm.tfjs.registerTensor(s,i,l),t!=null&&this.wasm.HEAPU8.set(new Uint8Array(t.buffer,t.byteOffset,o),l)}async read(e){return this.readSync(e)}readSync(e,t,n){let{memoryOffset:a,dtype:r,shape:s,stringBytes:i}=this.dataIdMap.get(e);if(r==="string")return(t==null||t===0)&&(n==null||n>=i.length)?i:i.slice(t,n);t=t||0,n=n||v.sizeFromShape(s);let o=v.bytesPerElement(r),l=this.wasm.HEAPU8.slice(a+t*o,a+n*o);return lpe(l.buffer,r)}disposeData(e,t=!1){if(this.dataIdMap.has(e)){let n=this.dataIdMap.get(e);if(n.refCount--,!t&&n.refCount>0)return!1;this.wasm._free(n.memoryOffset),this.wasm.tfjs.disposeData(n.id),this.dataIdMap.delete(e)}return!0}refCount(e){return this.dataIdMap.has(e)?this.dataIdMap.get(e).refCount:0}incRef(e){let t=this.dataIdMap.get(e);t!=null&&t.refCount++}floatPrecision(){return 32}getMemoryOffset(e){return this.dataIdMap.get(e).memoryOffset}dispose(){this.wasm.tfjs.dispose(),"PThread"in this.wasm&&this.wasm.PThread.terminateAllThreads(),this.wasm=null}memory(){return{unreliable:!1}}makeOutput(e,t,n){let a;if(n==null)a=this.write(null,e,t);else{let r=this.dataIdNextNumber++;a={id:r},this.dataIdMap.set(a,{id:r,memoryOffset:n,shape:e,dtype:t,refCount:1});let s=v.sizeFromShape(e);this.wasm.tfjs.registerTensor(r,s,n)}return{dataId:a,shape:e,dtype:t}}typedArrayFromHeap({shape:e,dtype:t,dataId:n}){let a=this.wasm.HEAPU8.buffer,{memoryOffset:r}=this.dataIdMap.get(n),s=v.sizeFromShape(e);switch(t){case"float32":return new Float32Array(a,r,s);case"int32":return new Int32Array(a,r,s);case"bool":return new Uint8Array(a,r,s);default:throw new Error(`Unknown dtype ${t}`)}}};function ipe(e){return(t,n)=>(v.fetch(e,{credentials:"same-origin"}).then(a=>{a.ok||t.env.a(`failed to load wasm binary file at '${e}'`),a.arrayBuffer().then(r=>{WebAssembly.instantiate(r,t).then(s=>{n(s.instance,s.module)})})}),{})}function yI(e,t,n){if(Gh!=null)return Gh;let a="tfjs-backend-wasm.wasm";return e&&t?a="tfjs-backend-wasm-threaded-simd.wasm":e&&(a="tfjs-backend-wasm-simd.wasm"),Wp!=null&&Wp[a]!=null?Wp[a]:n+a}async function ope(){let[e,t]=await Promise.all([H().getAsync("WASM_HAS_SIMD_SUPPORT"),H().getAsync("WASM_HAS_MULTITHREAD_SUPPORT")]);return new Promise((n,a)=>{let r={};r.locateFile=(o,l)=>{if(o.endsWith(".worker.js")){let u=rpe.wasmWorkerContents.replace(/\n/g,"\\n"),p=new Blob([u],{type:"application/javascript"});return URL.createObjectURL(p)}return o.endsWith(".wasm")?yI(e,t,Op!=null?Op:l):l+o},n1&&(r.instantiateWasm=ipe(yI(e,t,Op!=null?Op:"")));let s=!1;r.onAbort=()=>{s||Bp||(Bp=!0,a({message:"Make sure the server can serve the `.wasm` file relative to the bundled js file. For more details see https://github.com/tensorflow/tfjs/blob/master/tfjs-backend-wasm/README.md#using-bundlers"}))};let i;t&&e&&Gh==null?(r.mainScriptUrlOrBlob=new Blob(["var WasmBackendModuleThreadedSimd = "+bI.toString()],{type:"text/javascript"}),i=bI(r)):i=spe(r),i.then(o=>{s=!0,Bp=!1;let l=null;o.tfjs={init:o.cwrap("init",null,[]),initWithThreadsCount:o.cwrap("init_with_threads_count",null,["number"]),getThreadsCount:o.cwrap("get_threads_count","number",[]),registerTensor:o.cwrap("register_tensor",null,["number","number","number"]),disposeData:o.cwrap("dispose_data",l,["number"]),dispose:o.cwrap("dispose",l,[])},n({wasm:o})}).catch(a)})}function lpe(e,t){switch(t){case"float32":return new Float32Array(e);case"int32":return new Int32Array(e);case"bool":return new Uint8Array(e);default:throw new Error(`Unknown dtype ${t}`)}}var upe=["tfjs-backend-wasm.wasm","tfjs-backend-wasm-simd.wasm","tfjs-backend-wasm-threaded-simd.wasm"],Gh=null,Op=null,Wp={},Bp=!1,n1=!1;function ppe(e,t=!1){if(Rx("setWasmPath has been deprecated in favor of setWasmPaths and will be removed in a future release."),Bp)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPath()` before you call `tf.setBackend()` or `tf.ready()`");Gh=e,n1=t}function cpe(e,t=!1){if(Bp)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPaths()` before you call `tf.setBackend()` or `tf.ready()`");if(typeof e=="string")Op=e;else{Wp=e;let n=upe.filter(a=>Wp[a]==null);if(n.length>0)throw new Error(`There were no entries found for the following binaries: ${n.join(",")}. Please either call setWasmPaths with a map providing a path for each binary, or with a string indicating the directory where all the binaries can be found.`)}n1=t}var kA=-1,bx=-1;function dpe(e){kA=e}function hpe(){if(bx===-1)throw new Error("WASM backend not initialized.");return bx}var mpe="4.0.0",fpe=2;Em("wasm",async()=>{let{wasm:e}=await ope();return new wA(e)},fpe);var gpe="4.0.0",bpe="4.0.0",ype="4.0.0",xpe="4.0.0",vpe="4.0.0",wpe="4.0.0",kpe="4.0.0",Ipe="4.0.0",Spe={tfjs:gpe,"tfjs-core":bpe,"tfjs-data":ype,"tfjs-layers":xpe,"tfjs-converter":vpe,"tfjs-backend-cpu":wpe,"tfjs-backend-webgl":kpe,"tfjs-backend-wasm":Ipe};var UA={};ay(UA,{AnchorPosition:()=>c1,DrawBox:()=>ud,DrawBoxOptions:()=>Uf,DrawFaceLandmarks:()=>tg,DrawFaceLandmarksOptions:()=>eg,DrawTextField:()=>Or,DrawTextFieldOptions:()=>Ju,drawContour:()=>Dr,drawDetections:()=>$pe,drawFaceExpressions:()=>Fpe,drawFaceLandmarks:()=>Rpe});function Dr(e,t,n=!1){if(e.beginPath(),t.slice(1).forEach(({x:a,y:r},s)=>{let i=t[s];e.moveTo(i.x,i.y),e.lineTo(a,r)}),n){let a=t[t.length-1],r=t[0];if(!a||!r)return;e.moveTo(a.x,a.y),e.lineTo(r.x,r.y)}e.stroke()}var IA={};ay(IA,{computeReshapedDimensions:()=>s1,getCenterPoint:()=>To,isDimensions:()=>Wf,isEven:()=>zf,isFloat:()=>r1,isTensor:()=>Io,isTensor1D:()=>Tpe,isTensor2D:()=>a1,isTensor3D:()=>Rr,isTensor4D:()=>xa,isValidNumber:()=>Ya,isValidProbablitiy:()=>ju,range:()=>hr,round:()=>So});var En=class{constructor(t,n){if(!Ya(t)||!Ya(n))throw new Error(`Dimensions.constructor - expected width and height to be valid numbers, instead have ${JSON.stringify({width:t,height:n})}`);this._width=t,this._height=n}get width(){return this._width}get height(){return this._height}reverse(){return new En(1/this.width,1/this.height)}};function Io(e,t){return e instanceof Te&&e.shape.length===t}function Tpe(e){return Io(e,1)}function a1(e){return Io(e,2)}function Rr(e){return Io(e,3)}function xa(e){return Io(e,4)}function r1(e){return e%1!==0}function zf(e){return e%2===0}function So(e,t=2){let n=10**t;return Math.floor(e*n)/n}function Wf(e){return e&&e.width&&e.height}function s1({width:e,height:t},n){let a=n/Math.max(t,e);return new En(Math.round(e*a),Math.round(t*a))}function To(e){return e.reduce((t,n)=>t.add(n),new Me(0,0)).div(new Me(e.length,e.length))}function hr(e,t,n){return Array(e).fill(0).map((a,r)=>t+r*n)}function Ya(e){return!!e&&e!==1/0&&e!==-1/0&&!Number.isNaN(e)||e===0}function ju(e){return Ya(e)&&e>=0&&e<=1}var Me=class{constructor(t,n){this._x=t,this._y=n}get x(){return this._x}get y(){return this._y}add(t){return new Me(this.x+t.x,this.y+t.y)}sub(t){return new Me(this.x-t.x,this.y-t.y)}mul(t){return new Me(this.x*t.x,this.y*t.y)}div(t){return new Me(this.x/t.x,this.y/t.y)}abs(){return new Me(Math.abs(this.x),Math.abs(this.y))}magnitude(){return Math.sqrt(this.x**2+this.y**2)}floor(){return new Me(Math.floor(this.x),Math.floor(this.y))}};var ut=class{static isRect(t){return!!t&&[t.x,t.y,t.width,t.height].every(Ya)}static assertIsValidBox(t,n,a=!1){if(!ut.isRect(t))throw new Error(`${n} - invalid box: ${JSON.stringify(t)}, expected object with properties x, y, width, height`);if(!a&&(t.width<0||t.height<0))throw new Error(`${n} - width (${t.width}) and height (${t.height}) must be positive numbers`)}constructor(t,n=!0){let a=t||{},r=[a.left,a.top,a.right,a.bottom].every(Ya),s=[a.x,a.y,a.width,a.height].every(Ya);if(!s&&!r)throw new Error(`Box.constructor - expected box to be IBoundingBox | IRect, instead have ${JSON.stringify(a)}`);let[i,o,l,u]=s?[a.x,a.y,a.width,a.height]:[a.left,a.top,a.right-a.left,a.bottom-a.top];ut.assertIsValidBox({x:i,y:o,width:l,height:u},"Box.constructor",n),this._x=i,this._y=o,this._width=l,this._height=u}get x(){return this._x}get y(){return this._y}get width(){return this._width}get height(){return this._height}get left(){return this.x}get top(){return this.y}get right(){return this.x+this.width}get bottom(){return this.y+this.height}get area(){return this.width*this.height}get topLeft(){return new Me(this.left,this.top)}get topRight(){return new Me(this.right,this.top)}get bottomLeft(){return new Me(this.left,this.bottom)}get bottomRight(){return new Me(this.right,this.bottom)}round(){let[t,n,a,r]=[this.x,this.y,this.width,this.height].map(s=>Math.round(s));return new ut({x:t,y:n,width:a,height:r})}floor(){let[t,n,a,r]=[this.x,this.y,this.width,this.height].map(s=>Math.floor(s));return new ut({x:t,y:n,width:a,height:r})}toSquare(){let{x:t,y:n,width:a,height:r}=this,s=Math.abs(a-r);return an&&(o=-d+n+a,d=n),c>t&&(l=-c+t+r,c=t),u<1&&(l=2-u,u=1),p<1&&(l=2-p,p=1),{dy:i,edy:l,dx:s,edx:o,y:p,ey:c,x:u,ex:d,w:a,h:r}}calibrate(t){return new ut({left:this.left+t.left*this.width,top:this.top+t.top*this.height,right:this.right+t.right*this.width,bottom:this.bottom+t.bottom*this.height}).toSquare().round()}};var qu=class extends ut{constructor(t,n,a,r,s=!1){super({left:t,top:n,right:a,bottom:r},s)}};var Ts=class{constructor(t,n,a,r,s){this._imageDims=new En(s.width,s.height),this._score=t,this._classScore=n,this._className=a,this._box=new ut(r).rescale(this._imageDims)}get score(){return this._score}get classScore(){return this._classScore}get className(){return this._className}get box(){return this._box}get imageDims(){return this._imageDims}get imageWidth(){return this.imageDims.width}get imageHeight(){return this.imageDims.height}get relativeBox(){return new ut(this._box).rescale(this.imageDims.reverse())}forSize(t,n){return new Ts(this.score,this.classScore,this.className,this.relativeBox,{width:t,height:n})}};var xt=class extends Ts{constructor(t,n,a){super(t,t,"",n,a)}forSize(t,n){let{score:a,relativeBox:r,imageDims:s}=super.forSize(t,n);return new xt(a,r,s)}};function SA(e,t,n=!0){let a=Math.max(0,Math.min(e.right,t.right)-Math.max(e.left,t.left)),r=Math.max(0,Math.min(e.bottom,t.bottom)-Math.max(e.top,t.top)),s=a*r;return n?s/(e.area+t.area-s):s/Math.min(e.area,t.area)}function TA(e){let t=e.map(o=>o.x),n=e.map(o=>o.y),a=t.reduce((o,l)=>lloo({score:i,boxIndex:o})).sort((i,o)=>i.score-o.score).map(i=>i.boxIndex),s=[];for(;r.length>0;){let i=r.pop();s.push(i);let o=r,l=[];for(let u=0;ul[p]<=n)}return s}function mr(e,t){return P(()=>{let[n,a,r]=t,s=gn([...e.shape.slice(0,3),1],n,"float32"),i=gn([...e.shape.slice(0,3),1],a,"float32"),o=gn([...e.shape.slice(0,3),1],r,"float32"),l=Ze([s,i,o],3);return pe(e,l)})}function CA(e,t=!1){return P(()=>{let[n,a]=e.shape.slice(1);if(n===a)return e;let r=Math.abs(n-a),s=Math.round(r*(t?.5:1)),i=n>a?2:1,o=c=>{let h=e.shape.slice();return h[i]=c,gn(h,0,"float32")},l=o(s),u=r-l.shape[i],d=[t&&u?o(u):null,e,l].filter(c=>!!c).map(c=>oe(c,"float32"));return Ze(d,i)})}function Nbe(e){let t=e.slice();for(let n=t.length-1;n>0;n--){let a=Math.floor(Math.random()*(n+1)),r=t[n];t[n]=t[a],t[a]=r}return t}function Bf(e){return 1/(1+Math.exp(-e))}function _be(e){return Math.log(e/(1-e))}var Ku=class extends ut{constructor(t,n,a,r,s=!1){super({x:t,y:n,width:a,height:r},s)}};var Npe=.5,Cpe=.43,_pe=.45,va=class{constructor(t,n,a=new Me(0,0)){let{width:r,height:s}=n;this._imgDims=new En(r,s),this._shift=a,this._positions=t.map(i=>i.mul(new Me(r,s)).add(a))}get shift(){return new Me(this._shift.x,this._shift.y)}get imageWidth(){return this._imgDims.width}get imageHeight(){return this._imgDims.height}get positions(){return this._positions}get relativePositions(){return this._positions.map(t=>t.sub(this._shift).div(new Me(this.imageWidth,this.imageHeight)))}forSize(t,n){return new this.constructor(this.relativePositions,{width:t,height:n})}shiftBy(t,n){return new this.constructor(this.relativePositions,this._imgDims,new Me(t,n))}shiftByPoint(t){return this.shiftBy(t.x,t.y)}align(t,n={}){if(t){let s=t instanceof xt?t.box.floor():new ut(t);return this.shiftBy(s.x,s.y).align(null,n)}let{useDlibAlignment:a,minBoxPadding:r}={useDlibAlignment:!1,minBoxPadding:.2,...n};return a?this.alignDlib():this.alignMinBbox(r)}alignDlib(){let t=this.getRefPointsForAlignment(),[n,a,r]=t,s=d=>r.sub(d).magnitude(),i=(s(n)+s(a))/2,o=Math.floor(i/_pe),l=To(t),u=Math.floor(Math.max(0,l.x-Npe*o)),p=Math.floor(Math.max(0,l.y-Cpe*o));return new Ku(u,p,Math.min(o,this.imageWidth+u),Math.min(o,this.imageHeight+p))}alignMinBbox(t){let n=TA(this.positions);return n.pad(n.width*t,n.height*t)}getRefPointsForAlignment(){throw new Error("getRefPointsForAlignment not implemented by base class")}};var _A=class extends va{getRefPointsForAlignment(){let t=this.positions;return[t[0],t[1],To([t[3],t[4]])]}};var Xu=class extends va{getJawOutline(){return this.positions.slice(0,17)}getLeftEyeBrow(){return this.positions.slice(17,22)}getRightEyeBrow(){return this.positions.slice(22,27)}getNose(){return this.positions.slice(27,36)}getLeftEye(){return this.positions.slice(36,42)}getRightEye(){return this.positions.slice(42,48)}getMouth(){return this.positions.slice(48,68)}getRefPointsForAlignment(){return[this.getLeftEye(),this.getRightEye(),this.getMouth()].map(To)}};var id=class{constructor(t,n){this._label=t,this._distance=n}get label(){return this._label}get distance(){return this._distance}toString(t=!0){return`${this.label}${t?` (${So(this.distance)})`:""}`}};var od=class extends ut{constructor(n,a){super(n);this._label=a}static assertIsValidLabeledBox(n,a){if(ut.assertIsValidBox(n,a),!Ya(n.label))throw new Error(`${a} - expected property label (${n.label}) to be a number`)}get label(){return this._label}};var Mr=class{constructor(t,n){if(typeof t!="string")throw new Error("LabeledFaceDescriptors - constructor expected label to be a string");if(!Array.isArray(n)||n.some(a=>!(a instanceof Float32Array)))throw new Error("LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array");this._label=t,this._descriptors=n}get label(){return this._label}get descriptors(){return this._descriptors}toJSON(){return{label:this.label,descriptors:this.descriptors.map(t=>Array.from(t))}}static fromJSON(t){let n=t.descriptors.map(a=>new Float32Array(a));return new Mr(t.label,n)}};var EA=class extends od{constructor(n,a,r,s){super(n,a);this._score=r,this._classScore=s}static assertIsValidPredictedBox(n,a){if(od.assertIsValidLabeledBox(n,a),!ju(n.score)||!ju(n.classScore))throw new Error(`${a} - expected properties score (${n.score}) and (${n.classScore}) to be a number between [0, 1]`)}get score(){return this._score}get classScore(){return this._classScore}};function Pr(e){return e.detection instanceof xt}function Yu(e,t){return{...e,...{detection:t}}}function i1(){let e=window.fetch;if(!e)throw new Error("fetch - missing fetch implementation for browser environment");return{Canvas:HTMLCanvasElement,CanvasRenderingContext2D,Image:HTMLImageElement,ImageData,Video:HTMLVideoElement,createCanvasElement:()=>document.createElement("canvas"),createImageElement:()=>document.createElement("img"),createVideoElement:()=>document.createElement("video"),fetch:e,readFile:()=>{throw new Error("readFile - filesystem not available for browser environment")}}}function ld(){return typeof global=="object"&&typeof process!="undefined"&&process.versions!=null&&process.versions.node!=null}function Vf(e){let t="";if(!e&&ld())try{e=Gr("fs")}catch(a){t=a.toString()}return{readFile:e?a=>new Promise((r,s)=>{e.readFile(a,(i,o)=>i?s(i):r(o))}):()=>{throw new Error(`readFile - failed to require fs in nodejs environment with error: ${t}`)}}}function o1(){let e=global.Canvas||global.HTMLCanvasElement,t=global.Image||global.HTMLImageElement,n=global.Video||global.HTMLVideoElement,a=()=>{if(e)return new e;throw new Error("createCanvasElement - missing Canvas implementation for nodejs environment")},r=()=>{if(t)return new t;throw new Error("createImageElement - missing Image implementation for nodejs environment")},s=()=>{if(n)return new n;throw new Error("createVideoElement - missing Video implementation for nodejs environment")},i=global.fetch,o=Vf();return{Canvas:e||class{},CanvasRenderingContext2D:global.CanvasRenderingContext2D||class{},Image:t||class{},ImageData:global.ImageData||class{},Video:global.HTMLVideoElement||class{},createCanvasElement:a,createImageElement:r,createVideoElement:s,fetch:i,...o}}function l1(){return typeof window=="object"&&typeof document!="undefined"&&typeof HTMLImageElement!="undefined"&&typeof HTMLCanvasElement!="undefined"&&typeof HTMLVideoElement!="undefined"&&typeof ImageData!="undefined"&&typeof CanvasRenderingContext2D!="undefined"}var rn;function Epe(){if(!rn)throw new Error("getEnv - environment is not defined, check isNodejs() and isBrowser()");return rn}function u1(e){rn=e}function p1(){return l1()?u1(i1()):ld()?u1(o1()):null}function Ape(e){if(rn||p1(),!rn)throw new Error("monkeyPatch - environment is not defined, check isNodejs() and isBrowser()");let{Canvas:t=rn.Canvas,Image:n=rn.Image}=e;rn.Canvas=t,rn.Image=n,rn.createCanvasElement=e.createCanvasElement||(()=>new t),rn.createImageElement=e.createImageElement||(()=>new n),rn.ImageData=e.ImageData||rn.ImageData,rn.Video=e.Video||rn.Video,rn.fetch=e.fetch||rn.fetch,rn.readFile=e.readFile||rn.readFile}var et={getEnv:Epe,setEnv:u1,initialize:p1,createBrowserEnv:i1,createFileSystem:Vf,createNodejsEnv:o1,monkeyPatch:Ape,isBrowser:l1,isNodejs:ld};p1();function Zu(e){return!et.isNodejs()&&typeof e=="string"?document.getElementById(e):e}function aa(e){let{Canvas:t,CanvasRenderingContext2D:n}=et.getEnv();if(e instanceof n)return e;let a=Zu(e);if(!(a instanceof t))throw new Error("resolveContext2d - expected canvas to be of instance of Canvas");let r=a.getContext("2d");if(!r)throw new Error("resolveContext2d - canvas 2d context is null");return r}var c1=(r=>(r.TOP_LEFT="TOP_LEFT",r.TOP_RIGHT="TOP_RIGHT",r.BOTTOM_LEFT="BOTTOM_LEFT",r.BOTTOM_RIGHT="BOTTOM_RIGHT",r))(c1||{}),Ju=class{constructor(t={}){let{anchorPosition:n,backgroundColor:a,fontColor:r,fontSize:s,fontStyle:i,padding:o}=t;this.anchorPosition=n||"TOP_LEFT",this.backgroundColor=a||"rgba(0, 0, 0, 0.5)",this.fontColor=r||"rgba(255, 255, 255, 1)",this.fontSize=s||14,this.fontStyle=i||"Georgia",this.padding=o||4}},Or=class{constructor(t,n,a={}){this.text=typeof t=="string"?[t]:t instanceof Or?t.text:t,this.anchor=n,this.options=new Ju(a)}measureWidth(t){let{padding:n}=this.options;return this.text.map(a=>t.measureText(a).width).reduce((a,r)=>a{let m=l+d.x,f=l+d.y+(h+1)*i;a.fillText(c,m,f)})}};var Uf=class{constructor(t={}){let{boxColor:n,lineWidth:a,label:r,drawLabelOptions:s}=t;this.boxColor=n||"rgba(0, 0, 255, 1)",this.lineWidth=a||2,this.label=r;let i={anchorPosition:"BOTTOM_LEFT",backgroundColor:this.boxColor};this.drawLabelOptions=new Ju({...i,...s})}},ud=class{constructor(t,n={}){this.box=new ut(t),this.options=new Uf(n)}draw(t){let n=aa(t),{boxColor:a,lineWidth:r}=this.options,{x:s,y:i,width:o,height:l}=this.box;n.strokeStyle=a,n.lineWidth=r,n.strokeRect(s,i,o,l);let{label:u}=this.options;u&&new Or([u],{x:s-r/2,y:i},this.options.drawLabelOptions).draw(t)}};function $pe(e,t){(Array.isArray(t)?t:[t]).forEach(a=>{let r=a instanceof xt?a.score:Pr(a)?a.detection.score:void 0,s=a instanceof xt?a.box:Pr(a)?a.detection.box:new ut(a),i=r?`${So(r)}`:void 0;new ud(s,{label:i}).draw(e)})}function Gf(e){let{Image:t,Video:n}=et.getEnv();return e instanceof t&&e.complete||e instanceof n&&e.readyState>=3}function AA(e){return new Promise((t,n)=>{(e instanceof et.getEnv().Canvas||Gf(e))&&t(null);function a(s){!s.currentTarget||(s.currentTarget.removeEventListener("load",r),s.currentTarget.removeEventListener("error",a),n(s))}function r(s){!s.currentTarget||(s.currentTarget.removeEventListener("load",r),s.currentTarget.removeEventListener("error",a),t(s))}e.addEventListener("load",r),e.addEventListener("error",a)})}function $A(e){return new Promise((t,n)=>{e instanceof Blob||n(new Error("bufferToImage - expected buf to be of type: Blob"));let a=new FileReader;a.onload=()=>{typeof a.result!="string"&&n(new Error("bufferToImage - expected reader.result to be a string, in onload"));let r=et.getEnv().createImageElement();r.onload=()=>t(r),r.onerror=n,r.src=a.result},a.onerror=n,a.readAsDataURL(e)})}function Qu(e){let{Image:t,Video:n}=et.getEnv();return e instanceof t?new En(e.naturalWidth,e.naturalHeight):e instanceof n?new En(e.videoWidth,e.videoHeight):new En(e.width,e.height)}function ep({width:e,height:t}){let{createCanvasElement:n}=et.getEnv(),a=n();return a.width=e,a.height=t,a}function Hf(e,t){let{ImageData:n}=et.getEnv();if(!(e instanceof n)&&!Gf(e))throw new Error("createCanvasFromMedia - media has not finished loading yet");let{width:a,height:r}=t||Qu(e),s=ep({width:a,height:r});return e instanceof n?aa(s).putImageData(e,0,0):aa(s).drawImage(e,0,0,a,r),s}async function FA(e,t){let n=t||et.getEnv().createCanvasElement(),[a,r,s]=e.shape.slice(xa(e)?1:0),i=P(()=>e.as3D(a,r,s).toInt());return await co.toPixels(i,n),i.dispose(),n}function d1(e){let{Image:t,Canvas:n,Video:a}=et.getEnv();return e instanceof t||e instanceof n||e instanceof a}function DA(e,t,n=!1){let{Image:a,Canvas:r}=et.getEnv();if(!(e instanceof a||e instanceof r))throw new Error("imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement");if(t<=0)return ep({width:1,height:1});let s=Qu(e),i=t/Math.max(s.height,s.width),o=i*s.width,l=i*s.height,u=ep({width:t,height:t}),p=e instanceof r?e:Hf(e),d=Math.abs(o-l)/2,c=n&&o0&&p.height>0&&aa(u).drawImage(p,c,h,o,l),u}var Lr=class{constructor(t,n=!1){this._imageTensors=[];this._canvases=[];this._treatAsBatchInput=!1;this._inputDimensions=[];this._inputSize=0;if(!Array.isArray(t))throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${t}`);this._treatAsBatchInput=n,this._batchSize=t.length,t.forEach((a,r)=>{if(Rr(a)){this._imageTensors[r]=a,this._inputDimensions[r]=a.shape;return}if(xa(a)){let i=a.shape[0];if(i!==1)throw new Error(`NetInput - tf.Tensor4D with batchSize ${i} passed, but not supported in input array`);this._imageTensors[r]=a,this._inputDimensions[r]=a.shape.slice(1);return}let s=a instanceof et.getEnv().Canvas?a:Hf(a);this._canvases[r]=s,this._inputDimensions[r]=[s.height,s.width,3]})}get imageTensors(){return this._imageTensors}get canvases(){return this._canvases}get isBatchInput(){return this.batchSize>1||this._treatAsBatchInput}get batchSize(){return this._batchSize}get inputDimensions(){return this._inputDimensions}get inputSize(){return this._inputSize}get reshapedInputDimensions(){return hr(this.batchSize,0,1).map((t,n)=>this.getReshapedInputDimensions(n))}getInput(t){return this.canvases[t]||this.imageTensors[t]}getInputDimensions(t){return this._inputDimensions[t]}getInputHeight(t){return this._inputDimensions[t][0]}getInputWidth(t){return this._inputDimensions[t][1]}getReshapedInputDimensions(t){if(typeof this.inputSize!="number")throw new Error("getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet");let n=this.getInputWidth(t),a=this.getInputHeight(t);return s1({width:n,height:a},this.inputSize)}toBatchTensor(t,n=!0){return this._inputSize=t,P(()=>{let a=hr(this.batchSize,0,1).map(s=>{let i=this.getInput(s);if(i instanceof Te){let o=xa(i)?i:Zt(i);return o=CA(o,n),(o.shape[1]!==t||o.shape[2]!==t)&&(o=za.resizeBilinear(o,[t,t],!1,!1)),o.as3D(t,t,3)}if(i instanceof et.getEnv().Canvas)return co.fromPixels(DA(i,t,n));throw new Error(`toBatchTensor - at batchIdx ${s}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${i}`)});return Ft(a.map(s=>oe(s,"float32"))).as4D(this.batchSize,t,t,3)})}};async function vt(e){if(e instanceof Lr)return e;let t=Array.isArray(e)?e:[e];if(!t.length)throw new Error("toNetInput - empty array passed as input");let n=r=>Array.isArray(e)?` at input index ${r}:`:"",a=t.map(Zu);return a.forEach((r,s)=>{if(!d1(r)&&!Rr(r)&&!xa(r))throw typeof t[s]=="string"?new Error(`toNetInput -${n(s)} string passed, but could not resolve HTMLElement for element id ${t[s]}`):new Error(`toNetInput -${n(s)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);if(xa(r)){let i=r.shape[0];if(i!==1)throw new Error(`toNetInput -${n(s)} tf.Tensor4D with batchSize ${i} passed, but not supported in input array`)}}),await Promise.all(a.map(r=>d1(r)&&AA(r))),new Lr(a,Array.isArray(e))}async function pd(e,t){let{Canvas:n}=et.getEnv(),a=e;if(!(e instanceof n)){let i=await vt(e);if(i.batchSize>1)throw new Error("extractFaces - batchSize > 1 not supported");let o=i.getInput(0);a=o instanceof n?o:await FA(o)}let r=aa(a);return t.map(i=>i instanceof xt?i.forSize(a.width,a.height).box.floor():i).map(i=>i.clipAtImageBorders(a.width,a.height)).map(({x:i,y:o,width:l,height:u})=>{let p=ep({width:l,height:u});return l>0&&u>0&&aa(p).putImageData(r.getImageData(i,o,l,u),0,0),p})}async function cd(e,t){if(!Rr(e)&&!xa(e))throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");if(xa(e)&&e.shape[0]>1)throw new Error("extractFaceTensors - batchSize > 1 not supported");return P(()=>{let[n,a,r]=e.shape.slice(xa(e)?1:0);return t.map(o=>o instanceof xt?o.forSize(a,n).box:o).map(o=>o.clipAtImageBorders(a,n)).filter(o=>o.width>0&&o.height>0).map(({x:o,y:l,width:u,height:p})=>mo(e.as3D(n,a,r),[l,o,0],[p,u,r]))})}async function Ns(e,t){let{fetch:n}=et.getEnv(),a=await n(e,t);if(!(a.status<400))throw new Error(`failed to fetch: (${a.status}) ${a.statusText}, from url: ${a.url}`);return a}async function hve(e){let t=await Ns(e),n=await t.blob();if(!n.type.startsWith("image/"))throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${n.type}, for url: ${t.url}`);return $A(n)}async function RA(e){return(await Ns(e)).json()}async function yve(e){return new Float32Array(await(await Ns(e)).arrayBuffer())}function MA(e){return new Promise((t,n)=>{e instanceof Blob||n(new Error("bufferToVideo - expected buf to be of type: Blob"));let a=et.getEnv().createVideoElement();a.oncanplay=()=>t(a),a.onerror=n,a.playsInline=!0,a.muted=!0,a.src=URL.createObjectURL(e),a.play()})}async function Sve(e){let t=await Ns(e),n=await t.blob();if(!n.type.startsWith("video/"))throw new Error(`fetchVideo - expected blob type to be of type video/*, instead have: ${n.type}, for url: ${t.url}`);return MA(n)}function jf(e,t){let n=`${t}-weights_manifest.json`;if(!e)return{modelBaseUri:"",manifestUri:n};if(e==="/")return{modelBaseUri:"/",manifestUri:`/${n}`};let a=e.startsWith("http://")?"http://":e.startsWith("https://")?"https://":"";e=e.replace(a,"");let r=e.split("/").filter(o=>o),s=e.endsWith(".json")?r[r.length-1]:n,i=a+(e.endsWith(".json")?r.slice(0,r.length-1):r).join("/");return i=e.startsWith("/")?`/${i}`:i,{modelBaseUri:i,manifestUri:i==="/"?`/${s}`:`${i}/${s}`}}async function PA(e,t){let{manifestUri:n,modelBaseUri:a}=jf(e,t),r=await RA(n);return Ut.loadWeights(r,a)}function $ve(e,t,n=!1){let{width:a,height:r}=n?Qu(t):t;return e.width=a,e.height=r,{width:a,height:r}}var dn=class{constructor(t){this._params=void 0;this._paramMappings=[];this._name=t}get params(){return this._params}get paramMappings(){return this._paramMappings}get isLoaded(){return!!this.params}getParamFromPath(t){let{obj:n,objProp:a}=this.traversePropertyPath(t);return n[a]}reassignParamFromPath(t,n){let{obj:a,objProp:r}=this.traversePropertyPath(t);a[r].dispose(),a[r]=n}getParamList(){return this._paramMappings.map(({paramPath:t})=>({path:t,tensor:this.getParamFromPath(t)}))}getTrainableParams(){return this.getParamList().filter(t=>t.tensor instanceof ts)}getFrozenParams(){return this.getParamList().filter(t=>!(t.tensor instanceof ts))}variable(){this.getFrozenParams().forEach(({path:t,tensor:n})=>{this.reassignParamFromPath(t,n.variable())})}freeze(){this.getTrainableParams().forEach(({path:t,tensor:n})=>{let a=kn(n.dataSync());n.dispose(),this.reassignParamFromPath(t,a)})}dispose(t=!0){this.getParamList().forEach(n=>{if(t&&n.tensor.isDisposed)throw new Error(`param tensor has already been disposed for path ${n.path}`);n.tensor.dispose()}),this._params=void 0}serializeParams(){return new Float32Array(this.getParamList().map(({tensor:t})=>Array.from(t.dataSync())).reduce((t,n)=>t.concat(n)))}async load(t){if(t instanceof Float32Array){this.extractWeights(t);return}await this.loadFromUri(t)}async loadFromUri(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromUri - expected model uri`);let n=await PA(t,this.getDefaultModelName());this.loadFromWeightMap(n)}async loadFromDisk(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromDisk - expected model file path`);let{readFile:n}=et.getEnv(),{manifestUri:a,modelBaseUri:r}=jf(t,this.getDefaultModelName()),s=u=>Promise.all(u.map(p=>n(p).then(d=>d.buffer))),i=Ut.weightsLoaderFactory(s),o=JSON.parse((await n(a)).toString()),l=await i(o,r);this.loadFromWeightMap(l)}loadFromWeightMap(t){let{paramMappings:n,params:a}=this.extractParamsFromWeightMap(t);this._paramMappings=n,this._params=a}extractWeights(t){let{paramMappings:n,params:a}=this.extractParams(t);this._paramMappings=n,this._params=a}traversePropertyPath(t){if(!this.params)throw new Error("traversePropertyPath - model has no loaded params");let n=t.split("/").reduce((s,i)=>{if(!s.nextObj.hasOwnProperty(i))throw new Error(`traversePropertyPath - object does not have property ${i}, for path ${t}`);return{obj:s.nextObj,objProp:i,nextObj:s.nextObj[i]}},{nextObj:this.params}),{obj:a,objProp:r}=n;if(!a||!r||!(a[r]instanceof Te))throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${t}`);return{obj:a,objProp:r}}};function Gn(e,t,n){return P(()=>{let a=vs(e,t.depthwise_filter,t.pointwise_filter,n,"same");return a=Y(a,t.bias),a})}function qf(e,t,n=!1){return P(()=>{let a=Xe(n?Y($t(e,t.conv0.filters,[2,2],"same"),t.conv0.bias):Gn(e,t.conv0,[2,2])),r=Gn(a,t.conv1,[1,1]),s=Xe(Y(a,r)),i=Gn(s,t.conv2,[1,1]);return Xe(Y(a,Y(r,i)))})}function dd(e,t,n=!1,a=!0){return P(()=>{let r=Xe(n?Y($t(e,t.conv0.filters,a?[2,2]:[1,1],"same"),t.conv0.bias):Gn(e,t.conv0,a?[2,2]:[1,1])),s=Gn(r,t.conv1,[1,1]),i=Xe(Y(r,s)),o=Gn(i,t.conv2,[1,1]),l=Xe(Y(r,Y(s,o))),u=Gn(l,t.conv3,[1,1]);return Xe(Y(r,Y(s,Y(o,u))))})}function No(e,t,n="same",a=!1){return P(()=>{let r=Y($t(e,t.filters,[1,1],n),t.bias);return a?Xe(r):r})}function An(e,t){Object.keys(e).forEach(n=>{t.some(a=>a.originalPath===n)||e[n].dispose()})}function tp(e,t){return(n,a,r,s)=>{let i=$a(e(n*a*r*r),[r,r,n,a]),o=Ke(e(a));return t.push({paramPath:`${s}/filters`},{paramPath:`${s}/bias`}),{filters:i,bias:o}}}function Kf(e,t){return(n,a,r)=>{let s=_a(e(n*a),[n,a]),i=Ke(e(a));return t.push({paramPath:`${r}/weights`},{paramPath:`${r}/bias`}),{weights:s,bias:i}}}var hd=class{constructor(t,n,a){this.depthwise_filter=t;this.pointwise_filter=n;this.bias=a}};function np(e,t){return(n,a,r)=>{let s=$a(e(9*n),[3,3,n,1]),i=$a(e(n*a),[1,1,n,a]),o=Ke(e(a));return t.push({paramPath:`${r}/depthwise_filter`},{paramPath:`${r}/pointwise_filter`},{paramPath:`${r}/bias`}),new hd(s,i,o)}}function ap(e){return t=>{let n=e(`${t}/depthwise_filter`,4),a=e(`${t}/pointwise_filter`,4),r=e(`${t}/bias`,1);return new hd(n,a,r)}}function ra(e,t){return(n,a,r)=>{let s=e[n];if(!Io(s,a))throw new Error(`expected weightMap[${n}] to be a Tensor${a}D, instead have ${s}`);return t.push({originalPath:n,paramPath:r||n}),s}}function $n(e){let t=e;function n(r){let s=t.slice(0,r);return t=t.slice(r),s}function a(){return t}return{extractWeights:n,getRemainingWeights:a}}function Xf(e,t){let n=tp(e,t),a=np(e,t);function r(i,o,l,u=!1){let p=u?n(i,o,3,`${l}/conv0`):a(i,o,`${l}/conv0`),d=a(o,o,`${l}/conv1`),c=a(o,o,`${l}/conv2`);return{conv0:p,conv1:d,conv2:c}}function s(i,o,l,u=!1){let{conv0:p,conv1:d,conv2:c}=r(i,o,l,u),h=a(o,o,`${l}/conv3`);return{conv0:p,conv1:d,conv2:c,conv3:h}}return{extractDenseBlock3Params:r,extractDenseBlock4Params:s}}function OA(e){let t=[],{extractWeights:n,getRemainingWeights:a}=$n(e),{extractDenseBlock4Params:r}=Xf(n,t),s=r(3,32,"dense0",!0),i=r(32,64,"dense1"),o=r(64,128,"dense2"),l=r(128,256,"dense3");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:t,params:{dense0:s,dense1:i,dense2:o,dense3:l}}}function Yf(e){return t=>{let n=e(`${t}/filters`,4),a=e(`${t}/bias`,1);return{filters:n,bias:a}}}function Zf(e,t){let n=ra(e,t),a=Yf(n),r=ap(n);function s(o,l=!1){let u=l?a(`${o}/conv0`):r(`${o}/conv0`),p=r(`${o}/conv1`),d=r(`${o}/conv2`);return{conv0:u,conv1:p,conv2:d}}function i(o,l=!1){let u=l?a(`${o}/conv0`):r(`${o}/conv0`),p=r(`${o}/conv1`),d=r(`${o}/conv2`),c=r(`${o}/conv3`);return{conv0:u,conv1:p,conv2:d,conv3:c}}return{extractDenseBlock3Params:s,extractDenseBlock4Params:i}}function LA(e){let t=[],{extractDenseBlock4Params:n}=Zf(e,t),a={dense0:n("dense0",!0),dense1:n("dense1"),dense2:n("dense2"),dense3:n("dense3")};return An(e,t),{params:a,paramMappings:t}}var rp=class extends dn{constructor(){super("FaceFeatureExtractor")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("FaceFeatureExtractor - load model before inference");return P(()=>{let a=oe(t.toBatchTensor(112,!0),"float32"),s=mr(a,[122.782,117.001,104.298]).div(255),i=dd(s,n.dense0,!0);return i=dd(i,n.dense1),i=dd(i,n.dense2),i=dd(i,n.dense3),i=ga(i,[7,7],[2,2],"valid"),i})}async forward(t){return this.forwardInput(await vt(t))}getDefaultModelName(){return"face_feature_extractor_model"}extractParamsFromWeightMap(t){return LA(t)}extractParams(t){return OA(t)}};function md(e,t){return P(()=>Y(Fe(e,t.weights),t.bias))}function zA(e,t,n){let a=[],{extractWeights:r,getRemainingWeights:s}=$n(e),o=Kf(r,a)(t,n,"fc");if(s().length!==0)throw new Error(`weights remaing after extract: ${s().length}`);return{paramMappings:a,params:{fc:o}}}function WA(e){let t=[],n=ra(e,t);function a(s){let i=n(`${s}/weights`,2),o=n(`${s}/bias`,1);return{weights:i,bias:o}}let r={fc:a("fc")};return An(e,t),{params:r,paramMappings:t}}function Jf(e){let t={},n={};return Object.keys(e).forEach(a=>{let r=a.startsWith("fc")?n:t;r[a]=e[a]}),{featureExtractorMap:t,classifierMap:n}}var sp=class extends dn{constructor(n,a){super(n);this._faceFeatureExtractor=a}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(n){let{params:a}=this;if(!a)throw new Error(`${this._name} - load model before inference`);return P(()=>{let r=n instanceof Lr?this.faceFeatureExtractor.forwardInput(n):n;return md(r.as2D(r.shape[0],-1),a.fc)})}dispose(n=!0){this.faceFeatureExtractor.dispose(n),super.dispose(n)}loadClassifierParams(n){let{params:a,paramMappings:r}=this.extractClassifierParams(n);this._params=a,this._paramMappings=r}extractClassifierParams(n){return zA(n,this.getClassifierChannelsIn(),this.getClassifierChannelsOut())}extractParamsFromWeightMap(n){let{featureExtractorMap:a,classifierMap:r}=Jf(n);return this.faceFeatureExtractor.loadFromWeightMap(a),WA(r)}extractParams(n){let a=this.getClassifierChannelsIn(),r=this.getClassifierChannelsOut(),s=r*a+r,i=n.slice(0,n.length-s),o=n.slice(n.length-s);return this.faceFeatureExtractor.extractWeights(i),this.extractClassifierParams(o)}};var BA=["neutral","happy","sad","angry","fearful","disgusted","surprised"],Cs=class{constructor(t){this.neutral=0;this.happy=0;this.sad=0;this.angry=0;this.fearful=0;this.disgusted=0;this.surprised=0;if(t.length!==7)throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${t.length}`);BA.forEach((n,a)=>{this[n]=t[a]})}asSortedArray(){return BA.map(t=>({expression:t,probability:this[t]})).sort((t,n)=>n.probability-t.probability)}};var Qf=class extends sp{constructor(t=new rp){super("FaceExpressionNet",t)}forwardInput(t){return P(()=>Ka(this.runNet(t)))}async forward(t){return this.forwardInput(await vt(t))}async predictExpressions(t){let n=await vt(t),a=await this.forwardInput(n),r=await Promise.all(ct(a).map(async i=>{let o=i.dataSync();return i.dispose(),o}));a.dispose();let s=r.map(i=>new Cs(i));return n.isBatchInput?s:s[0]}getDefaultModelName(){return"face_expression_model"}getClassifierChannelsIn(){return 256}getClassifierChannelsOut(){return 7}};function VA(e){return e.expressions instanceof Cs}function h1(e,t){return{...e,...{expressions:t}}}function Fpe(e,t,n=.1,a){(Array.isArray(t)?t:[t]).forEach(s=>{let i=s instanceof Cs?s:VA(s)?s.expressions:void 0;if(!i)throw new Error("drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof");let l=i.asSortedArray().filter(d=>d.probability>n),u=Pr(s)?s.detection.box.bottomLeft:a||new Me(0,0);new Or(l.map(d=>`${d.expression} (${So(d.probability)})`),u).draw(e)})}function ip(e){return Pr(e)&&e.landmarks instanceof va&&e.unshiftedLandmarks instanceof va&&e.alignedRect instanceof xt}function Dpe(e){let t=(o,l,u,p)=>Math.atan2(p-l,u-o)%Math.PI,n=o=>o*180/Math.PI,a={roll:void 0,pitch:void 0,yaw:void 0};if(!e||!e._positions||e._positions.length!==68)return a;let r=e._positions;a.roll=-t(r[36]._x,r[36]._y,r[45]._x,r[45]._y),a.pitch=t(0,Math.abs(r[0]._x-r[30]._x)/r[30]._x,Math.PI,Math.abs(r[16]._x-r[30]._x)/r[30]._x);let s=r.reduce((o,l)=>oo>l._y?o:l._y,-1/0);return a.yaw=Math.PI*(e._imgDims._height/(i-s)/1.4-1),a}function fd(e,t){let{box:n}=e.detection,a=t.shiftBy(n.x,n.y),r=a.align(),{imageDims:s}=e.detection,i=new xt(e.detection.score,r.rescale(s.reverse()),s),o=Dpe(t);return{...e,...{landmarks:a,unshiftedLandmarks:t,alignedRect:i,angle:o}}}var eg=class{constructor(t={}){let{drawLines:n=!0,drawPoints:a=!0,lineWidth:r,lineColor:s,pointSize:i,pointColor:o}=t;this.drawLines=n,this.drawPoints=a,this.lineWidth=r||1,this.pointSize=i||2,this.lineColor=s||"rgba(0, 255, 255, 1)",this.pointColor=o||"rgba(255, 0, 255, 1)"}},tg=class{constructor(t,n={}){this.faceLandmarks=t,this.options=new eg(n)}draw(t){let n=aa(t),{drawLines:a,drawPoints:r,lineWidth:s,lineColor:i,pointSize:o,pointColor:l}=this.options;if(a&&this.faceLandmarks instanceof Xu&&(n.strokeStyle=i,n.lineWidth=s,Dr(n,this.faceLandmarks.getJawOutline()),Dr(n,this.faceLandmarks.getLeftEyeBrow()),Dr(n,this.faceLandmarks.getRightEyeBrow()),Dr(n,this.faceLandmarks.getNose()),Dr(n,this.faceLandmarks.getLeftEye(),!0),Dr(n,this.faceLandmarks.getRightEye(),!0),Dr(n,this.faceLandmarks.getMouth(),!0)),r){n.strokeStyle=l,n.fillStyle=l;let u=p=>{n.beginPath(),n.arc(p.x,p.y,o,0,2*Math.PI),n.fill()};this.faceLandmarks.positions.forEach(u)}}};function Rpe(e,t){(Array.isArray(t)?t:[t]).forEach(a=>{let r=a instanceof va?a:ip(a)?a.landmarks:void 0;if(!r)throw new Error("drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks> or array thereof");new tg(r).draw(e)})}var GA="1.7.5";function Ope(e,t){let n=tp(e,t),a=np(e,t);function r(i,o,l){let u=a(i,o,`${l}/separable_conv0`),p=a(o,o,`${l}/separable_conv1`),d=n(i,o,1,`${l}/expansion_conv`);return{separable_conv0:u,separable_conv1:p,expansion_conv:d}}function s(i,o){let l=a(i,i,`${o}/separable_conv0`),u=a(i,i,`${o}/separable_conv1`),p=a(i,i,`${o}/separable_conv2`);return{separable_conv0:l,separable_conv1:u,separable_conv2:p}}return{extractConvParams:n,extractSeparableConvParams:a,extractReductionBlockParams:r,extractMainBlockParams:s}}function HA(e,t){let n=[],{extractWeights:a,getRemainingWeights:r}=$n(e),{extractConvParams:s,extractSeparableConvParams:i,extractReductionBlockParams:o,extractMainBlockParams:l}=Ope(a,n),u=s(3,32,3,"entry_flow/conv_in"),p=o(32,64,"entry_flow/reduction_block_0"),d=o(64,128,"entry_flow/reduction_block_1"),c={conv_in:u,reduction_block_0:p,reduction_block_1:d},h={};hr(t,0,1).forEach(b=>{h[`main_block_${b}`]=l(128,`middle_flow/main_block_${b}`)});let m=o(128,256,"exit_flow/reduction_block"),f=i(256,512,"exit_flow/separable_conv"),g={reduction_block:m,separable_conv:f};if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:n,params:{entry_flow:c,middle_flow:h,exit_flow:g}}}function Lpe(e,t){let n=ra(e,t),a=Yf(n),r=ap(n);function s(o){let l=r(`${o}/separable_conv0`),u=r(`${o}/separable_conv1`),p=a(`${o}/expansion_conv`);return{separable_conv0:l,separable_conv1:u,expansion_conv:p}}function i(o){let l=r(`${o}/separable_conv0`),u=r(`${o}/separable_conv1`),p=r(`${o}/separable_conv2`);return{separable_conv0:l,separable_conv1:u,separable_conv2:p}}return{extractConvParams:a,extractSeparableConvParams:r,extractReductionBlockParams:s,extractMainBlockParams:i}}function jA(e,t){let n=[],{extractConvParams:a,extractSeparableConvParams:r,extractReductionBlockParams:s,extractMainBlockParams:i}=Lpe(e,n),o=a("entry_flow/conv_in"),l=s("entry_flow/reduction_block_0"),u=s("entry_flow/reduction_block_1"),p={conv_in:o,reduction_block_0:l,reduction_block_1:u},d={};hr(t,0,1).forEach(f=>{d[`main_block_${f}`]=i(`middle_flow/main_block_${f}`)});let c=s("exit_flow/reduction_block"),h=r("exit_flow/separable_conv"),m={reduction_block:c,separable_conv:h};return An(e,n),{params:{entry_flow:p,middle_flow:d,exit_flow:m},paramMappings:n}}function qA(e,t,n){return Y($t(e,t.filters,n,"same"),t.bias)}function m1(e,t,n=!0){let a=n?Xe(e):e;return a=Gn(a,t.separable_conv0,[1,1]),a=Gn(Xe(a),t.separable_conv1,[1,1]),a=Dt(a,[3,3],[2,2],"same"),a=Y(a,qA(e,t.expansion_conv,[2,2])),a}function zpe(e,t){let n=Gn(Xe(e),t.separable_conv0,[1,1]);return n=Gn(Xe(n),t.separable_conv1,[1,1]),n=Gn(Xe(n),t.separable_conv2,[1,1]),n=Y(n,e),n}var ng=class extends dn{constructor(n){super("TinyXception");this._numMainBlocks=n}forwardInput(n){let{params:a}=this;if(!a)throw new Error("TinyXception - load model before inference");return P(()=>{let r=oe(n.toBatchTensor(112,!0),"float32"),i=mr(r,[122.782,117.001,104.298]).div(255),o=Xe(qA(i,a.entry_flow.conv_in,[2,2]));return o=m1(o,a.entry_flow.reduction_block_0,!1),o=m1(o,a.entry_flow.reduction_block_1),hr(this._numMainBlocks,0,1).forEach(l=>{o=zpe(o,a.middle_flow[`main_block_${l}`])}),o=m1(o,a.exit_flow.reduction_block),o=Xe(Gn(o,a.exit_flow.separable_conv,[1,1])),o})}async forward(n){return this.forwardInput(await vt(n))}getDefaultModelName(){return"tiny_xception_model"}extractParamsFromWeightMap(n){return jA(n,this._numMainBlocks)}extractParams(n){return HA(n,this._numMainBlocks)}};function KA(e){let t=[],{extractWeights:n,getRemainingWeights:a}=$n(e),r=Kf(n,t),s=r(512,1,"fc/age"),i=r(512,2,"fc/gender");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:t,params:{fc:{age:s,gender:i}}}}function XA(e){let t=[],n=ra(e,t);function a(s){let i=n(`${s}/weights`,2),o=n(`${s}/bias`,1);return{weights:i,bias:o}}let r={fc:{age:a("fc/age"),gender:a("fc/gender")}};return An(e,t),{params:r,paramMappings:t}}var f1=(n=>(n.FEMALE="female",n.MALE="male",n))(f1||{});var ag=class extends dn{constructor(n=new ng(2)){super("AgeGenderNet");this._faceFeatureExtractor=n}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(n){let{params:a}=this;if(!a)throw new Error(`${this._name} - load model before inference`);return P(()=>{let r=n instanceof Lr?this.faceFeatureExtractor.forwardInput(n):n,s=ga(r,[7,7],[2,2],"valid").as2D(r.shape[0],-1),i=md(s,a.fc.age).as1D(),o=md(s,a.fc.gender);return{age:i,gender:o}})}forwardInput(n){return P(()=>{let{age:a,gender:r}=this.runNet(n);return{age:a,gender:Ka(r)}})}async forward(n){return this.forwardInput(await vt(n))}async predictAgeAndGender(n){let a=await vt(n),r=await this.forwardInput(a),s=ct(r.age),i=ct(r.gender),o=s.map((u,p)=>({ageTensor:u,genderTensor:i[p]})),l=await Promise.all(o.map(async({ageTensor:u,genderTensor:p})=>{let d=u.dataSync()[0],c=p.dataSync()[0],h=c>.5,m=h?"male":"female",f=h?c:1-c;return u.dispose(),p.dispose(),{age:d,gender:m,genderProbability:f}}));return r.age.dispose(),r.gender.dispose(),a.isBatchInput?l:l[0]}getDefaultModelName(){return"age_gender_model"}dispose(n=!0){this.faceFeatureExtractor.dispose(n),super.dispose(n)}loadClassifierParams(n){let{params:a,paramMappings:r}=this.extractClassifierParams(n);this._params=a,this._paramMappings=r}extractClassifierParams(n){return KA(n)}extractParamsFromWeightMap(n){let{featureExtractorMap:a,classifierMap:r}=Jf(n);return this.faceFeatureExtractor.loadFromWeightMap(a),XA(r)}extractParams(n){let r=n.slice(0,n.length-1539),s=n.slice(n.length-1539);return this.faceFeatureExtractor.extractWeights(r),this.extractClassifierParams(s)}};var op=class extends sp{postProcess(t,n,a){let r=a.map(({width:i,height:o})=>{let l=n/Math.max(o,i);return{width:i*l,height:o*l}}),s=r.length;return P(()=>{let i=(d,c)=>Ft([gn([68],d,"float32"),gn([68],c,"float32")],1).as2D(1,136).as1D(),o=(d,c)=>{let{width:h,height:m}=r[d];return c(h,m)?Math.abs(h-m)/2:0},l=d=>o(d,(c,h)=>co(d,(c,h)=>hi(l(c),u(c))))).div(Ft(Array.from(Array(s),(d,c)=>i(r[c].width,r[c].height))))})}forwardInput(t){return P(()=>{let n=this.runNet(t);return this.postProcess(n,t.inputSize,t.inputDimensions.map(([a,r])=>({height:a,width:r})))})}async forward(t){return this.forwardInput(await vt(t))}async detectLandmarks(t){let n=await vt(t),a=P(()=>ct(this.forwardInput(n))),r=await Promise.all(a.map(async(s,i)=>{let o=Array.from(s.dataSync()),l=o.filter((p,d)=>zf(d)),u=o.filter((p,d)=>!zf(d));return new Xu(Array(68).fill(0).map((p,d)=>new Me(l[d],u[d])),{height:n.getInputHeight(i),width:n.getInputWidth(i)})}));return a.forEach(s=>s.dispose()),n.isBatchInput?r:r[0]}getClassifierChannelsOut(){return 136}};var lp=class extends op{constructor(t=new rp){super("FaceLandmark68Net",t)}getDefaultModelName(){return"face_landmark_68_model"}getClassifierChannelsIn(){return 256}};function YA(e){let t=[],{extractDenseBlock3Params:n}=Zf(e,t),a={dense0:n("dense0",!0),dense1:n("dense1"),dense2:n("dense2")};return An(e,t),{params:a,paramMappings:t}}function ZA(e){let t=[],{extractWeights:n,getRemainingWeights:a}=$n(e),{extractDenseBlock3Params:r}=Xf(n,t),s=r(3,32,"dense0",!0),i=r(32,64,"dense1"),o=r(64,128,"dense2");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:t,params:{dense0:s,dense1:i,dense2:o}}}var rg=class extends dn{constructor(){super("TinyFaceFeatureExtractor")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("TinyFaceFeatureExtractor - load model before inference");return P(()=>{let a=oe(t.toBatchTensor(112,!0),"float32"),s=mr(a,[122.782,117.001,104.298]).div(255),i=qf(s,n.dense0,!0);return i=qf(i,n.dense1),i=qf(i,n.dense2),i=ga(i,[14,14],[2,2],"valid"),i})}async forward(t){return this.forwardInput(await vt(t))}getDefaultModelName(){return"face_feature_extractor_tiny_model"}extractParamsFromWeightMap(t){return YA(t)}extractParams(t){return ZA(t)}};var sg=class extends op{constructor(t=new rg){super("FaceLandmark68TinyNet",t)}getDefaultModelName(){return"face_landmark_68_tiny_model"}getClassifierChannelsIn(){return 128}};var JA=class extends lp{};function QA(e,t){return Y(z(e,t.weights),t.biases)}function g1(e,t,n,a,r="same"){let{filters:s,bias:i}=t.conv,o=$t(e,s,n,r);return o=Y(o,i),o=QA(o,t.scale),a?Xe(o):o}function e$(e,t){return g1(e,t,[1,1],!0)}function b1(e,t){return g1(e,t,[1,1],!1)}function ig(e,t){return g1(e,t,[2,2],!0,"valid")}function Wpe(e,t){function n(o,l,u){let p=e(o),d=p.length/(l*u*u);if(r1(d))throw new Error(`depth has to be an integer: ${d}, weights.length: ${p.length}, numFilters: ${l}, filterSize: ${u}`);return P(()=>Ee($a(p,[l,d,u,u]),[2,3,1,0]))}function a(o,l,u,p){let d=n(o,l,u),c=Ke(e(l));return t.push({paramPath:`${p}/filters`},{paramPath:`${p}/bias`}),{filters:d,bias:c}}function r(o,l){let u=Ke(e(o)),p=Ke(e(o));return t.push({paramPath:`${l}/weights`},{paramPath:`${l}/biases`}),{weights:u,biases:p}}function s(o,l,u,p){let d=a(o,l,u,`${p}/conv`),c=r(l,`${p}/scale`);return{conv:d,scale:c}}function i(o,l,u,p,d=!1){let c=s((d?.5:1)*o,l,u,`${p}/conv1`),h=s(o,l,u,`${p}/conv2`);return{conv1:c,conv2:h}}return{extractConvLayerParams:s,extractResidualLayerParams:i}}function t$(e){let{extractWeights:t,getRemainingWeights:n}=$n(e),a=[],{extractConvLayerParams:r,extractResidualLayerParams:s}=Wpe(t,a),i=r(4704,32,7,"conv32_down"),o=s(9216,32,3,"conv32_1"),l=s(9216,32,3,"conv32_2"),u=s(9216,32,3,"conv32_3"),p=s(36864,64,3,"conv64_down",!0),d=s(36864,64,3,"conv64_1"),c=s(36864,64,3,"conv64_2"),h=s(36864,64,3,"conv64_3"),m=s(147456,128,3,"conv128_down",!0),f=s(147456,128,3,"conv128_1"),g=s(147456,128,3,"conv128_2"),b=s(589824,256,3,"conv256_down",!0),y=s(589824,256,3,"conv256_1"),x=s(589824,256,3,"conv256_2"),w=s(589824,256,3,"conv256_down_out"),I=P(()=>Ee(_a(t(256*128),[128,256]),[1,0]));if(a.push({paramPath:"fc"}),n().length!==0)throw new Error(`weights remaing after extract: ${n().length}`);return{params:{conv32_down:i,conv32_1:o,conv32_2:l,conv32_3:u,conv64_down:p,conv64_1:d,conv64_2:c,conv64_3:h,conv128_down:m,conv128_1:f,conv128_2:g,conv256_down:b,conv256_1:y,conv256_2:x,conv256_down_out:w,fc:I},paramMappings:a}}function Bpe(e,t){let n=ra(e,t);function a(i){let o=n(`${i}/scale/weights`,1),l=n(`${i}/scale/biases`,1);return{weights:o,biases:l}}function r(i){let o=n(`${i}/conv/filters`,4),l=n(`${i}/conv/bias`,1),u=a(i);return{conv:{filters:o,bias:l},scale:u}}function s(i){return{conv1:r(`${i}/conv1`),conv2:r(`${i}/conv2`)}}return{extractConvLayerParams:r,extractResidualLayerParams:s}}function n$(e){let t=[],{extractConvLayerParams:n,extractResidualLayerParams:a}=Bpe(e,t),r=n("conv32_down"),s=a("conv32_1"),i=a("conv32_2"),o=a("conv32_3"),l=a("conv64_down"),u=a("conv64_1"),p=a("conv64_2"),d=a("conv64_3"),c=a("conv128_down"),h=a("conv128_1"),m=a("conv128_2"),f=a("conv256_down"),g=a("conv256_1"),b=a("conv256_2"),y=a("conv256_down_out"),{fc:x}=e;if(t.push({originalPath:"fc",paramPath:"fc"}),!a1(x))throw new Error(`expected weightMap[fc] to be a Tensor2D, instead have ${x}`);let w={conv32_down:r,conv32_1:s,conv32_2:i,conv32_3:o,conv64_down:l,conv64_1:u,conv64_2:p,conv64_3:d,conv128_down:c,conv128_1:h,conv128_2:m,conv256_down:f,conv256_1:g,conv256_2:b,conv256_down_out:y,fc:x};return An(e,t),{params:w,paramMappings:t}}function Za(e,t){let n=e$(e,t.conv1);return n=b1(n,t.conv2),n=Y(n,e),n=Xe(n),n}function gd(e,t){let n=ig(e,t.conv1);n=b1(n,t.conv2);let a=ga(e,2,2,"valid"),r=It(a.shape),s=a.shape[3]!==n.shape[3];if(a.shape[1]!==n.shape[1]||a.shape[2]!==n.shape[2]){let o=[...n.shape];o[1]=1;let l=It(o);n=Ze([n,l],1);let u=[...n.shape];u[2]=1;let p=It(u);n=Ze([n,p],2)}return a=s?Ze([a,r],3):a,n=Y(a,n),n=Xe(n),n}var up=class extends dn{constructor(){super("FaceRecognitionNet")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("FaceRecognitionNet - load model before inference");return P(()=>{let a=oe(t.toBatchTensor(150,!0),"float32"),s=mr(a,[122.782,117.001,104.298]).div(255),i=ig(s,n.conv32_down);i=Dt(i,3,2,"valid"),i=Za(i,n.conv32_1),i=Za(i,n.conv32_2),i=Za(i,n.conv32_3),i=gd(i,n.conv64_down),i=Za(i,n.conv64_1),i=Za(i,n.conv64_2),i=Za(i,n.conv64_3),i=gd(i,n.conv128_down),i=Za(i,n.conv128_1),i=Za(i,n.conv128_2),i=gd(i,n.conv256_down),i=Za(i,n.conv256_1),i=Za(i,n.conv256_2),i=gd(i,n.conv256_down_out);let o=i.mean([1,2]);return Fe(o,n.fc)})}async forward(t){return this.forwardInput(await vt(t))}async computeFaceDescriptor(t){var s;if((s=t==null?void 0:t.shape)!=null&&s.some(i=>i<=0))return new Float32Array(128);let n=await vt(t),a=P(()=>ct(this.forwardInput(n))),r=await Promise.all(a.map(i=>i.data()));return a.forEach(i=>i.dispose()),n.isBatchInput?r:r[0]}getDefaultModelName(){return"face_recognition_model"}extractParamsFromWeightMap(t){return n$(t)}extractParams(t){return t$(t)}};function aIe(e){let t=new up;return t.extractWeights(e),t}function y1(e,t){return{...e,...{descriptor:t}}}function oIe(e){return typeof e.age=="number"}function x1(e,t){return{...e,...{age:t}}}function cIe(e){return(e.gender==="male"||e.gender==="female")&&ju(e.genderProbability)}function v1(e,t,n){return{...e,...{gender:t,genderProbability:n}}}function Vpe(e,t){function n(l,u){let p=$a(e(9*l),[3,3,l,1]),d=Ke(e(l)),c=Ke(e(l)),h=Ke(e(l)),m=Ke(e(l));return t.push({paramPath:`${u}/filters`},{paramPath:`${u}/batch_norm_scale`},{paramPath:`${u}/batch_norm_offset`},{paramPath:`${u}/batch_norm_mean`},{paramPath:`${u}/batch_norm_variance`}),{filters:p,batch_norm_scale:d,batch_norm_offset:c,batch_norm_mean:h,batch_norm_variance:m}}function a(l,u,p,d,c){let h=$a(e(l*u*p*p),[p,p,l,u]),m=Ke(e(u));return t.push({paramPath:`${d}/filters`},{paramPath:`${d}/${c?"batch_norm_offset":"bias"}`}),{filters:h,bias:m}}function r(l,u,p,d){let{filters:c,bias:h}=a(l,u,p,d,!0);return{filters:c,batch_norm_offset:h}}function s(l,u,p){let d=n(l,`${p}/depthwise_conv`),c=r(l,u,1,`${p}/pointwise_conv`);return{depthwise_conv:d,pointwise_conv:c}}function i(){let l=r(3,32,3,"mobilenetv1/conv_0"),u=s(32,64,"mobilenetv1/conv_1"),p=s(64,128,"mobilenetv1/conv_2"),d=s(128,128,"mobilenetv1/conv_3"),c=s(128,256,"mobilenetv1/conv_4"),h=s(256,256,"mobilenetv1/conv_5"),m=s(256,512,"mobilenetv1/conv_6"),f=s(512,512,"mobilenetv1/conv_7"),g=s(512,512,"mobilenetv1/conv_8"),b=s(512,512,"mobilenetv1/conv_9"),y=s(512,512,"mobilenetv1/conv_10"),x=s(512,512,"mobilenetv1/conv_11"),w=s(512,1024,"mobilenetv1/conv_12"),I=s(1024,1024,"mobilenetv1/conv_13");return{conv_0:l,conv_1:u,conv_2:p,conv_3:d,conv_4:c,conv_5:h,conv_6:m,conv_7:f,conv_8:g,conv_9:b,conv_10:y,conv_11:x,conv_12:w,conv_13:I}}function o(){let l=r(1024,256,1,"prediction_layer/conv_0"),u=r(256,512,3,"prediction_layer/conv_1"),p=r(512,128,1,"prediction_layer/conv_2"),d=r(128,256,3,"prediction_layer/conv_3"),c=r(256,128,1,"prediction_layer/conv_4"),h=r(128,256,3,"prediction_layer/conv_5"),m=r(256,64,1,"prediction_layer/conv_6"),f=r(64,128,3,"prediction_layer/conv_7"),g=a(512,12,1,"prediction_layer/box_predictor_0/box_encoding_predictor"),b=a(512,9,1,"prediction_layer/box_predictor_0/class_predictor"),y=a(1024,24,1,"prediction_layer/box_predictor_1/box_encoding_predictor"),x=a(1024,18,1,"prediction_layer/box_predictor_1/class_predictor"),w=a(512,24,1,"prediction_layer/box_predictor_2/box_encoding_predictor"),I=a(512,18,1,"prediction_layer/box_predictor_2/class_predictor"),T=a(256,24,1,"prediction_layer/box_predictor_3/box_encoding_predictor"),C=a(256,18,1,"prediction_layer/box_predictor_3/class_predictor"),E=a(256,24,1,"prediction_layer/box_predictor_4/box_encoding_predictor"),A=a(256,18,1,"prediction_layer/box_predictor_4/class_predictor"),R=a(128,24,1,"prediction_layer/box_predictor_5/box_encoding_predictor"),F=a(128,18,1,"prediction_layer/box_predictor_5/class_predictor");return{conv_0:l,conv_1:u,conv_2:p,conv_3:d,conv_4:c,conv_5:h,conv_6:m,conv_7:f,box_predictor_0:{box_encoding_predictor:g,class_predictor:b},box_predictor_1:{box_encoding_predictor:y,class_predictor:x},box_predictor_2:{box_encoding_predictor:w,class_predictor:I},box_predictor_3:{box_encoding_predictor:T,class_predictor:C},box_predictor_4:{box_encoding_predictor:E,class_predictor:A},box_predictor_5:{box_encoding_predictor:R,class_predictor:F}}}return{extractMobilenetV1Params:i,extractPredictionLayerParams:o}}function a$(e){let t=[],{extractWeights:n,getRemainingWeights:a}=$n(e),{extractMobilenetV1Params:r,extractPredictionLayerParams:s}=Vpe(n,t),i=r(),o=s(),u={extra_dim:_c(n(5118*4),[1,5118,4])};if(t.push({paramPath:"output_layer/extra_dim"}),a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{params:{mobilenetv1:i,prediction_layer:o,output_layer:u},paramMappings:t}}function Upe(e,t){let n=ra(e,t);function a(u,p,d){let c=n(`${u}/Conv2d_${p}_pointwise/weights`,4,`${d}/filters`),h=n(`${u}/Conv2d_${p}_pointwise/convolution_bn_offset`,1,`${d}/batch_norm_offset`);return{filters:c,batch_norm_offset:h}}function r(u){let p=`mobilenetv1/conv_${u}`,d=`MobilenetV1/Conv2d_${u}_depthwise`,c=`${p}/depthwise_conv`,h=`${p}/pointwise_conv`,m=n(`${d}/depthwise_weights`,4,`${c}/filters`),f=n(`${d}/BatchNorm/gamma`,1,`${c}/batch_norm_scale`),g=n(`${d}/BatchNorm/beta`,1,`${c}/batch_norm_offset`),b=n(`${d}/BatchNorm/moving_mean`,1,`${c}/batch_norm_mean`),y=n(`${d}/BatchNorm/moving_variance`,1,`${c}/batch_norm_variance`);return{depthwise_conv:{filters:m,batch_norm_scale:f,batch_norm_offset:g,batch_norm_mean:b,batch_norm_variance:y},pointwise_conv:a("MobilenetV1",u,h)}}function s(){return{conv_0:a("MobilenetV1",0,"mobilenetv1/conv_0"),conv_1:r(1),conv_2:r(2),conv_3:r(3),conv_4:r(4),conv_5:r(5),conv_6:r(6),conv_7:r(7),conv_8:r(8),conv_9:r(9),conv_10:r(10),conv_11:r(11),conv_12:r(12),conv_13:r(13)}}function i(u,p){let d=n(`${u}/weights`,4,`${p}/filters`),c=n(`${u}/biases`,1,`${p}/bias`);return{filters:d,bias:c}}function o(u){let p=i(`Prediction/BoxPredictor_${u}/BoxEncodingPredictor`,`prediction_layer/box_predictor_${u}/box_encoding_predictor`),d=i(`Prediction/BoxPredictor_${u}/ClassPredictor`,`prediction_layer/box_predictor_${u}/class_predictor`);return{box_encoding_predictor:p,class_predictor:d}}function l(){return{conv_0:a("Prediction",0,"prediction_layer/conv_0"),conv_1:a("Prediction",1,"prediction_layer/conv_1"),conv_2:a("Prediction",2,"prediction_layer/conv_2"),conv_3:a("Prediction",3,"prediction_layer/conv_3"),conv_4:a("Prediction",4,"prediction_layer/conv_4"),conv_5:a("Prediction",5,"prediction_layer/conv_5"),conv_6:a("Prediction",6,"prediction_layer/conv_6"),conv_7:a("Prediction",7,"prediction_layer/conv_7"),box_predictor_0:o(0),box_predictor_1:o(1),box_predictor_2:o(2),box_predictor_3:o(3),box_predictor_4:o(4),box_predictor_5:o(5)}}return{extractMobilenetV1Params:s,extractPredictionLayerParams:l}}function r$(e){let t=[],{extractMobilenetV1Params:n,extractPredictionLayerParams:a}=Upe(e,t),r=e["Output/extra_dim"];if(t.push({originalPath:"Output/extra_dim",paramPath:"output_layer/extra_dim"}),!Rr(r))throw new Error(`expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have ${r}`);let s={mobilenetv1:n(),prediction_layer:a(),output_layer:{extra_dim:r}};return An(e,t),{params:s,paramMappings:t}}function Ra(e,t,n){return P(()=>{let a=$t(e,t.filters,n,"same");return a=Y(a,t.batch_norm_offset),en(a,0,6)})}var Gpe=.0010000000474974513;function Hpe(e,t,n){return P(()=>{let a=ys(e,t.filters,n,"same");return a=bs(a,t.batch_norm_mean,t.batch_norm_variance,t.batch_norm_offset,t.batch_norm_scale,Gpe),en(a,0,6)})}function jpe(e){return[2,4,6,12].some(t=>t===e)?[2,2]:[1,1]}function s$(e,t){return P(()=>{let n,a=Ra(e,t.conv_0,[2,2]);if([t.conv_1,t.conv_2,t.conv_3,t.conv_4,t.conv_5,t.conv_6,t.conv_7,t.conv_8,t.conv_9,t.conv_10,t.conv_11,t.conv_12,t.conv_13].forEach((s,i)=>{let o=i+1,l=jpe(o);a=Hpe(a,s.depthwise_conv,l),a=Ra(a,s.pointwise_conv,[1,1]),o===11&&(n=a)}),n===null)throw new Error("mobileNetV1 - output of conv layer 11 is null");return{out:a,conv11:n}})}function qpe(e,t,n){let a=e.arraySync(),r=Math.min(a[t][0],a[t][2]),s=Math.min(a[t][1],a[t][3]),i=Math.max(a[t][0],a[t][2]),o=Math.max(a[t][1],a[t][3]),l=Math.min(a[n][0],a[n][2]),u=Math.min(a[n][1],a[n][3]),p=Math.max(a[n][0],a[n][2]),d=Math.max(a[n][1],a[n][3]),c=(i-r)*(o-s),h=(p-l)*(d-u);if(c<=0||h<=0)return 0;let m=Math.max(r,l),f=Math.max(s,u),g=Math.min(i,p),b=Math.min(o,d),y=Math.max(g-m,0)*Math.max(b-f,0);return y/(c+h-y)}function i$(e,t,n,a,r){let s=e.shape[0],i=Math.min(n,s),o=t.map((p,d)=>({score:p,boxIndex:d})).filter(p=>p.score>r).sort((p,d)=>d.score-p.score),l=p=>p<=a?1:0,u=[];return o.forEach(p=>{if(u.length>=i)return;let d=p.score;for(let c=u.length-1;c>=0;--c){let h=qpe(e,p.boxIndex,u[c]);if(h!==0&&(p.score*=l(h),p.score<=r))break}d===p.score&&u.push(p.boxIndex)}),u}function Kpe(e){let t=ct(Ee(e,[1,0])),n=[pe(t[2],t[0]),pe(t[3],t[1])],a=[Y(t[0],he(n[0],2)),Y(t[1],he(n[1],2))];return{sizes:n,centers:a}}function Xpe(e,t){let{sizes:n,centers:a}=Kpe(e),r=ct(Ee(t,[1,0])),s=he(z(fn(he(r[2],5)),n[0]),2),i=Y(z(he(r[0],10),n[0]),a[0]),o=he(z(fn(he(r[3],5)),n[1]),2),l=Y(z(he(r[1],10),n[1]),a[1]);return Ee(Ft([pe(i,s),pe(l,o),Y(i,s),Y(l,o)]),[1,0])}function o$(e,t,n){return P(()=>{let a=e.shape[0],r=Xpe(W(Ln(n.extra_dim,[a,1,1]),[-1,4]),W(e,[-1,4]));r=W(r,[a,r.shape[0]/a,4]);let s=da(Be(t,[0,0,1],[-1,-1,-1])),i=Be(s,[0,0,0],[-1,-1,1]);i=W(i,[a,i.shape[1]]);let o=ct(r),l=ct(i);return{boxes:o,scores:l}})}function Co(e,t){return P(()=>{let n=e.shape[0],a=W(No(e,t.box_encoding_predictor),[n,-1,1,4]),r=W(No(e,t.class_predictor),[n,-1,3]);return{boxPredictionEncoding:a,classPrediction:r}})}function l$(e,t,n){return P(()=>{let a=Ra(e,n.conv_0,[1,1]),r=Ra(a,n.conv_1,[2,2]),s=Ra(r,n.conv_2,[1,1]),i=Ra(s,n.conv_3,[2,2]),o=Ra(i,n.conv_4,[1,1]),l=Ra(o,n.conv_5,[2,2]),u=Ra(l,n.conv_6,[1,1]),p=Ra(u,n.conv_7,[2,2]),d=Co(t,n.box_predictor_0),c=Co(e,n.box_predictor_1),h=Co(r,n.box_predictor_2),m=Co(i,n.box_predictor_3),f=Co(l,n.box_predictor_4),g=Co(p,n.box_predictor_5),b=Ze([d.boxPredictionEncoding,c.boxPredictionEncoding,h.boxPredictionEncoding,m.boxPredictionEncoding,f.boxPredictionEncoding,g.boxPredictionEncoding],1),y=Ze([d.classPrediction,c.classPrediction,h.classPrediction,m.classPrediction,f.classPrediction,g.classPrediction],1);return{boxPredictions:b,classPredictions:y}})}var Ma=class{constructor({minConfidence:t,maxResults:n}={}){this._name="SsdMobilenetv1Options";if(this._minConfidence=t||.5,this._maxResults=n||100,typeof this._minConfidence!="number"||this._minConfidence<=0||this._minConfidence>=1)throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);if(typeof this._maxResults!="number")throw new Error(`${this._name} - expected maxResults to be a number`)}get minConfidence(){return this._minConfidence}get maxResults(){return this._maxResults}};var _o=class extends dn{constructor(){super("SsdMobilenetv1")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("SsdMobilenetv1 - load model before inference");return P(()=>{let a=oe(t.toBatchTensor(512,!1),"float32"),r=pe(he(a,127.5),1),s=s$(r,n.mobilenetv1),{boxPredictions:i,classPredictions:o}=l$(s.out,s.conv11,n.prediction_layer);return o$(i,o,n.output_layer)})}async forward(t){return this.forwardInput(await vt(t))}async locateFaces(t,n={}){let{maxResults:a,minConfidence:r}=new Ma(n),s=await vt(t),{boxes:i,scores:o}=this.forwardInput(s),l=i[0],u=o[0];for(let x=1;x{let[w,I]=[Math.max(0,b[x][0]),Math.min(1,b[x][2])].map(E=>E*g),[T,C]=[Math.max(0,b[x][1]),Math.min(1,b[x][3])].map(E=>E*f);return new xt(p[x],new Ku(T,w,C-T,I-w),{height:s.getInputHeight(0),width:s.getInputWidth(0)})});return l.dispose(),u.dispose(),y}getDefaultModelName(){return"ssd_mobilenetv1_model"}extractParamsFromWeightMap(t){return r$(t)}extractParams(t){return a$(t)}};function Ype(e){let t=new _o;return t.extractWeights(e),t}function aSe(e){return Ype(e)}var u$=class extends _o{};var p$=.4,c$=[new Me(.738768,.874946),new Me(2.42204,2.65704),new Me(4.30971,7.04493),new Me(10.246,4.59428),new Me(12.6868,11.8741)],d$=[new Me(1.603231,2.094468),new Me(6.041143,7.080126),new Me(2.882459,3.518061),new Me(4.266906,5.178857),new Me(9.041765,10.66308)],h$=[117.001,114.697,97.404],m$="tiny_yolov2_model",f$="tiny_yolov2_separable_conv_model";var og=e=>typeof e=="number";function g$(e){if(!e)throw new Error(`invalid config: ${e}`);if(typeof e.withSeparableConvs!="boolean")throw new Error(`config.withSeparableConvs has to be a boolean, have: ${e.withSeparableConvs}`);if(!og(e.iouThreshold)||e.iouThreshold<0||e.iouThreshold>1)throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${e.iouThreshold}`);if(!Array.isArray(e.classes)||!e.classes.length||!e.classes.every(t=>typeof t=="string"))throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(e.classes)}`);if(!Array.isArray(e.anchors)||!e.anchors.length||!e.anchors.map(t=>t||{}).every(t=>og(t.x)&&og(t.y)))throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(e.anchors)}`);if(e.meanRgb&&(!Array.isArray(e.meanRgb)||e.meanRgb.length!==3||!e.meanRgb.every(og)))throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(e.meanRgb)}`)}function pp(e){return P(()=>{let t=z(e,ye(.10000000149011612));return Y(Xe(pe(e,t)),t)})}function zr(e,t){return P(()=>{let n=ba(e,[[0,0],[1,1],[1,1],[0,0]]);return n=$t(n,t.conv.filters,[1,1],"valid"),n=pe(n,t.bn.sub),n=z(n,t.bn.truediv),n=Y(n,t.conv.bias),pp(n)})}function Wr(e,t){return P(()=>{let n=ba(e,[[0,0],[1,1],[1,1],[0,0]]);return n=vs(n,t.depthwise_filter,t.pointwise_filter,[1,1],"valid"),n=Y(n,t.bias),pp(n)})}function Zpe(e,t){let n=tp(e,t);function a(i,o){let l=Ke(e(i)),u=Ke(e(i));return t.push({paramPath:`${o}/sub`},{paramPath:`${o}/truediv`}),{sub:l,truediv:u}}function r(i,o,l){let u=n(i,o,3,`${l}/conv`),p=a(o,`${l}/bn`);return{conv:u,bn:p}}let s=np(e,t);return{extractConvParams:n,extractConvWithBatchNormParams:r,extractSeparableConvParams:s}}function b$(e,t,n,a){let{extractWeights:r,getRemainingWeights:s}=$n(e),i=[],{extractConvParams:o,extractConvWithBatchNormParams:l,extractSeparableConvParams:u}=Zpe(r,i),p;if(t.withSeparableConvs){let[d,c,h,m,f,g,b,y,x]=a,w=t.isFirstLayerConv2d?o(d,c,3,"conv0"):u(d,c,"conv0"),I=u(c,h,"conv1"),T=u(h,m,"conv2"),C=u(m,f,"conv3"),E=u(f,g,"conv4"),A=u(g,b,"conv5"),R=y?u(b,y,"conv6"):void 0,F=x?u(y,x,"conv7"):void 0,S=o(x||y||b,5*n,1,"conv8");p={conv0:w,conv1:I,conv2:T,conv3:C,conv4:E,conv5:A,conv6:R,conv7:F,conv8:S}}else{let[d,c,h,m,f,g,b,y,x]=a,w=l(d,c,"conv0"),I=l(c,h,"conv1"),T=l(h,m,"conv2"),C=l(m,f,"conv3"),E=l(f,g,"conv4"),A=l(g,b,"conv5"),R=l(b,y,"conv6"),F=l(y,x,"conv7"),S=o(x,5*n,1,"conv8");p={conv0:w,conv1:I,conv2:T,conv3:C,conv4:E,conv5:A,conv6:R,conv7:F,conv8:S}}if(s().length!==0)throw new Error(`weights remaing after extract: ${s().length}`);return{params:p,paramMappings:i}}function Jpe(e,t){let n=ra(e,t);function a(o){let l=n(`${o}/sub`,1),u=n(`${o}/truediv`,1);return{sub:l,truediv:u}}function r(o){let l=n(`${o}/filters`,4),u=n(`${o}/bias`,1);return{filters:l,bias:u}}function s(o){let l=r(`${o}/conv`),u=a(`${o}/bn`);return{conv:l,bn:u}}let i=ap(n);return{extractConvParams:r,extractConvWithBatchNormParams:s,extractSeparableConvParams:i}}function y$(e,t){let n=[],{extractConvParams:a,extractConvWithBatchNormParams:r,extractSeparableConvParams:s}=Jpe(e,n),i;if(t.withSeparableConvs){let o=t.filterSizes&&t.filterSizes.length||9;i={conv0:t.isFirstLayerConv2d?a("conv0"):s("conv0"),conv1:s("conv1"),conv2:s("conv2"),conv3:s("conv3"),conv4:s("conv4"),conv5:s("conv5"),conv6:o>7?s("conv6"):void 0,conv7:o>8?s("conv7"):void 0,conv8:a("conv8")}}else i={conv0:r("conv0"),conv1:r("conv1"),conv2:r("conv2"),conv3:r("conv3"),conv4:r("conv4"),conv5:r("conv5"),conv6:r("conv6"),conv7:r("conv7"),conv8:a("conv8")};return An(e,n),{params:i,paramMappings:n}}var fr=class{constructor({inputSize:t,scoreThreshold:n}={}){this._name="TinyYolov2Options";if(this._inputSize=t||416,this._scoreThreshold=n||.5,typeof this._inputSize!="number"||this._inputSize%32!==0)throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);if(typeof this._scoreThreshold!="number"||this._scoreThreshold<=0||this._scoreThreshold>=1)throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`)}get inputSize(){return this._inputSize}get scoreThreshold(){return this._scoreThreshold}};var w1=class extends dn{constructor(n){super("TinyYolov2");g$(n),this._config=n}get config(){return this._config}get withClassScores(){return this.config.withClassScores||this.config.classes.length>1}get boxEncodingSize(){return 5+(this.withClassScores?this.config.classes.length:0)}runTinyYolov2(n,a){let r=zr(n,a.conv0);return r=Dt(r,[2,2],[2,2],"same"),r=zr(r,a.conv1),r=Dt(r,[2,2],[2,2],"same"),r=zr(r,a.conv2),r=Dt(r,[2,2],[2,2],"same"),r=zr(r,a.conv3),r=Dt(r,[2,2],[2,2],"same"),r=zr(r,a.conv4),r=Dt(r,[2,2],[2,2],"same"),r=zr(r,a.conv5),r=Dt(r,[2,2],[1,1],"same"),r=zr(r,a.conv6),r=zr(r,a.conv7),No(r,a.conv8,"valid",!1)}runMobilenet(n,a){let r=this.config.isFirstLayerConv2d?pp(No(n,a.conv0,"valid",!1)):Wr(n,a.conv0);return r=Dt(r,[2,2],[2,2],"same"),r=Wr(r,a.conv1),r=Dt(r,[2,2],[2,2],"same"),r=Wr(r,a.conv2),r=Dt(r,[2,2],[2,2],"same"),r=Wr(r,a.conv3),r=Dt(r,[2,2],[2,2],"same"),r=Wr(r,a.conv4),r=Dt(r,[2,2],[2,2],"same"),r=Wr(r,a.conv5),r=Dt(r,[2,2],[1,1],"same"),r=a.conv6?Wr(r,a.conv6):r,r=a.conv7?Wr(r,a.conv7):r,No(r,a.conv8,"valid",!1)}forwardInput(n,a){let{params:r}=this;if(!r)throw new Error("TinyYolov2 - load model before inference");return P(()=>{let s=oe(n.toBatchTensor(a,!1),"float32");return s=this.config.meanRgb?mr(s,this.config.meanRgb):s,s=s.div(255),this.config.withSeparableConvs?this.runMobilenet(s,r):this.runTinyYolov2(s,r)})}async forward(n,a){return this.forwardInput(await vt(n),a)}async detect(n,a={}){let{inputSize:r,scoreThreshold:s}=new fr(a),i=await vt(n),o=await this.forwardInput(i,r),l=P(()=>ct(o)[0].expandDims()),u={width:i.getInputWidth(0),height:i.getInputHeight(0)},p=await this.extractBoxes(l,i.getReshapedInputDimensions(0),s);o.dispose(),l.dispose();let d=p.map(b=>b.box),c=p.map(b=>b.score),h=p.map(b=>b.classScore),m=p.map(b=>this.config.classes[b.label]);return NA(d.map(b=>b.rescale(r)),c,this.config.iouThreshold,!0).map(b=>new Ts(c[b],h[b],m[b],d[b],u))}getDefaultModelName(){return""}extractParamsFromWeightMap(n){return y$(n,this.config)}extractParams(n){let a=this.config.filterSizes||w1.DEFAULT_FILTER_SIZES,r=a?a.length:void 0;if(r!==7&&r!==8&&r!==9)throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${r} filterSizes in config`);return b$(n,this.config,this.boxEncodingSize,a)}async extractBoxes(n,a,r){let{width:s,height:i}=a,o=Math.max(s,i),l=o/s,u=o/i,p=n.shape[1],d=this.config.anchors.length,[c,h,m]=P(()=>{let y=n.reshape([p,p,d,this.boxEncodingSize]),x=y.slice([0,0,0,0],[p,p,d,4]),w=y.slice([0,0,0,4],[p,p,d,1]),I=this.withClassScores?Ka(y.slice([0,0,0,5],[p,p,d,this.config.classes.length]),3):ye(0);return[x,w,I]}),f=[],g=await h.array(),b=await c.array();for(let y=0;yr){let T=(x+Bf(b[y][x][w][0]))/p*l,C=(y+Bf(b[y][x][w][1]))/p*u,E=Math.exp(b[y][x][w][2])*this.config.anchors[w].x/p*l,A=Math.exp(b[y][x][w][3])*this.config.anchors[w].y/p*u,R=T-E/2,F=C-A/2,S={row:y,col:x,anchor:w},{classScore:M,label:B}=this.withClassScores?await this.extractPredictedClass(m,S):{classScore:1,label:0};f.push({box:new qu(R,F,R+E,F+A),score:I,classScore:I*M,label:B,...S})}}return c.dispose(),h.dispose(),m.dispose(),f}async extractPredictedClass(n,a){let{row:r,col:s,anchor:i}=a,o=await n.array();return Array(this.config.classes.length).fill(0).map((l,u)=>o[r][s][i][u]).map((l,u)=>({classScore:l,label:u})).reduce((l,u)=>l.classScore>u.classScore?l:u)}},Eo=w1;Eo.DEFAULT_FILTER_SIZES=[3,16,32,64,128,256,512,1024,1024];var cp=class extends Eo{constructor(t=!0){let n={withSeparableConvs:t,iouThreshold:p$,classes:["face"],...t?{anchors:d$,meanRgb:h$}:{anchors:c$,withClassScores:!0}};super(n)}get withSeparableConvs(){return this.config.withSeparableConvs}get anchors(){return this.config.anchors}async locateFaces(t,n){return(await this.detect(t,n)).map(r=>new xt(r.score,r.relativeBox,{width:r.imageWidth,height:r.imageHeight}))}getDefaultModelName(){return this.withSeparableConvs?f$:m$}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};function KSe(e,t=!0){let n=new cp(t);return n.extractWeights(e),n}var lg=class extends fr{constructor(){super(...arguments);this._name="TinyFaceDetectorOptions"}};var Pa=class{async then(t){return t(await this.run())}async run(){throw new Error("ComposableTask - run is not implemented")}};async function Ao(e,t,n,a,r=({alignedRect:s})=>s){let s=e.map(l=>ip(l)?r(l):l.detection),i=a||(t instanceof Te?await cd(t,s):await pd(t,s)),o=await n(i);return i.forEach(l=>l instanceof Te&&l.dispose()),o}async function dp(e,t,n,a,r){return Ao([e],t,async s=>n(s[0]),a,r)}var x$=.4,v$=[new Me(1.603231,2.094468),new Me(6.041143,7.080126),new Me(2.882459,3.518061),new Me(4.266906,5.178857),new Me(9.041765,10.66308)],w$=[117.001,114.697,97.404];var hp=class extends Eo{constructor(){let t={withSeparableConvs:!0,iouThreshold:x$,classes:["face"],anchors:v$,meanRgb:w$,isFirstLayerConv2d:!0,filterSizes:[3,16,32,64,128,256,512]};super(t)}get anchors(){return this.config.anchors}async locateFaces(t,n){return(await this.detect(t,n)).map(r=>new xt(r.score,r.relativeBox,{width:r.imageWidth,height:r.imageHeight}))}getDefaultModelName(){return"tiny_face_detector_model"}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};var tt={ssdMobilenetv1:new _o,tinyFaceDetector:new hp,tinyYolov2:new cp,faceLandmark68Net:new lp,faceLandmark68TinyNet:new sg,faceRecognitionNet:new up,faceExpressionNet:new Qf,ageGenderNet:new ag},Qpe=(e,t)=>tt.ssdMobilenetv1.locateFaces(e,t),STe=(e,t)=>tt.tinyFaceDetector.locateFaces(e,t),TTe=(e,t)=>tt.tinyYolov2.locateFaces(e,t),ece=e=>tt.faceLandmark68Net.detectLandmarks(e),NTe=e=>tt.faceLandmark68TinyNet.detectLandmarks(e),CTe=e=>tt.faceRecognitionNet.computeFaceDescriptor(e),_Te=e=>tt.faceExpressionNet.predictExpressions(e),ETe=e=>tt.ageGenderNet.predictAgeAndGender(e),tce=e=>tt.ssdMobilenetv1.load(e),ATe=e=>tt.tinyFaceDetector.load(e),$Te=e=>tt.tinyYolov2.load(e),FTe=e=>tt.faceLandmark68Net.load(e),DTe=e=>tt.faceLandmark68TinyNet.load(e),RTe=e=>tt.faceRecognitionNet.load(e),MTe=e=>tt.faceExpressionNet.load(e),PTe=e=>tt.ageGenderNet.load(e),OTe=tce,LTe=Qpe,zTe=ece;var ug=class extends Pa{constructor(n,a,r){super();this.parentTask=n;this.input=a;this.extractedFaces=r}},$o=class extends ug{async run(){let t=await this.parentTask,n=await Ao(t,this.input,async a=>Promise.all(a.map(r=>tt.faceExpressionNet.predictExpressions(r))),this.extractedFaces);return t.map((a,r)=>h1(a,n[r]))}withAgeAndGender(){return new Do(this,this.input)}},Fo=class extends ug{async run(){let t=await this.parentTask;if(!t)return;let n=await dp(t,this.input,a=>tt.faceExpressionNet.predictExpressions(a),this.extractedFaces);return h1(t,n)}withAgeAndGender(){return new Ro(this,this.input)}},_s=class extends $o{withAgeAndGender(){return new As(this,this.input)}withFaceDescriptors(){return new Fs(this,this.input)}},Es=class extends Fo{withAgeAndGender(){return new $s(this,this.input)}withFaceDescriptor(){return new Ds(this,this.input)}};var pg=class extends Pa{constructor(n,a,r){super();this.parentTask=n;this.input=a;this.extractedFaces=r}},Do=class extends pg{async run(){let t=await this.parentTask,n=await Ao(t,this.input,async a=>Promise.all(a.map(r=>tt.ageGenderNet.predictAgeAndGender(r))),this.extractedFaces);return t.map((a,r)=>{let{age:s,gender:i,genderProbability:o}=n[r];return x1(v1(a,i,o),s)})}withFaceExpressions(){return new $o(this,this.input)}},Ro=class extends pg{async run(){let t=await this.parentTask;if(!t)return;let{age:n,gender:a,genderProbability:r}=await dp(t,this.input,s=>tt.ageGenderNet.predictAgeAndGender(s),this.extractedFaces);return x1(v1(t,a,r),n)}withFaceExpressions(){return new Fo(this,this.input)}},As=class extends Do{withFaceExpressions(){return new _s(this,this.input)}withFaceDescriptors(){return new Fs(this,this.input)}},$s=class extends Ro{withFaceExpressions(){return new Es(this,this.input)}withFaceDescriptor(){return new Ds(this,this.input)}};var cg=class extends Pa{constructor(n,a){super();this.parentTask=n;this.input=a}},Fs=class extends cg{async run(){let t=await this.parentTask;return(await Ao(t,this.input,a=>Promise.all(a.map(r=>tt.faceRecognitionNet.computeFaceDescriptor(r))),null,a=>a.landmarks.align(null,{useDlibAlignment:!0}))).map((a,r)=>y1(t[r],a))}withFaceExpressions(){return new _s(this,this.input)}withAgeAndGender(){return new As(this,this.input)}},Ds=class extends cg{async run(){let t=await this.parentTask;if(!t)return;let n=await dp(t,this.input,a=>tt.faceRecognitionNet.computeFaceDescriptor(a),null,a=>a.landmarks.align(null,{useDlibAlignment:!0}));return y1(t,n)}withFaceExpressions(){return new Es(this,this.input)}withAgeAndGender(){return new $s(this,this.input)}};var dg=class extends Pa{constructor(n,a,r){super();this.parentTask=n;this.input=a;this.useTinyLandmarkNet=r}get landmarkNet(){return this.useTinyLandmarkNet?tt.faceLandmark68TinyNet:tt.faceLandmark68Net}},hg=class extends dg{async run(){let t=await this.parentTask,n=t.map(i=>i.detection),a=this.input instanceof Te?await cd(this.input,n):await pd(this.input,n),r=await Promise.all(a.map(i=>this.landmarkNet.detectLandmarks(i)));return a.forEach(i=>i instanceof Te&&i.dispose()),t.filter((i,o)=>r[o]).map((i,o)=>fd(i,r[o]))}withFaceExpressions(){return new _s(this,this.input)}withAgeAndGender(){return new As(this,this.input)}withFaceDescriptors(){return new Fs(this,this.input)}},mg=class extends dg{async run(){let t=await this.parentTask;if(!t)return;let{detection:n}=t,a=this.input instanceof Te?await cd(this.input,[n]):await pd(this.input,[n]),r=await this.landmarkNet.detectLandmarks(a[0]);return a.forEach(s=>s instanceof Te&&s.dispose()),fd(t,r)}withFaceExpressions(){return new Es(this,this.input)}withAgeAndGender(){return new $s(this,this.input)}withFaceDescriptor(){return new Ds(this,this.input)}};var fg=class extends Pa{constructor(n,a=new Ma){super();this.input=n;this.options=a}},bd=class extends fg{async run(){let{input:t,options:n}=this,a;if(n instanceof lg)a=tt.tinyFaceDetector.locateFaces(t,n);else if(n instanceof Ma)a=tt.ssdMobilenetv1.locateFaces(t,n);else if(n instanceof fr)a=tt.tinyYolov2.locateFaces(t,n);else throw new Error("detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | TinyYolov2Options");return a}runAndExtendWithFaceDetections(){return new Promise((t,n)=>{this.run().then(a=>t(a.map(r=>Yu({},r)))).catch(a=>n(a))})}withFaceLandmarks(t=!1){return new hg(this.runAndExtendWithFaceDetections(),this.input,t)}withFaceExpressions(){return new $o(this.runAndExtendWithFaceDetections(),this.input)}withAgeAndGender(){return new Do(this.runAndExtendWithFaceDetections(),this.input)}},gg=class extends fg{async run(){let t=await new bd(this.input,this.options),n=t[0];return t.forEach(a=>{a.score>n.score&&(n=a)}),n}runAndExtendWithFaceDetection(){return new Promise(async t=>{let n=await this.run();t(n?Yu({},n):void 0)})}withFaceLandmarks(t=!1){return new mg(this.runAndExtendWithFaceDetection(),this.input,t)}withFaceExpressions(){return new Fo(this.runAndExtendWithFaceDetection(),this.input)}withAgeAndGender(){return new Ro(this.runAndExtendWithFaceDetection(),this.input)}};function PNe(e,t=new Ma){return new gg(e,t)}function k1(e,t=new Ma){return new bd(e,t)}async function nce(e,t){return k1(e,new Ma(t?{minConfidence:t}:{})).withFaceLandmarks().withFaceDescriptors()}async function VNe(e,t={}){return k1(e,new fr(t)).withFaceLandmarks().withFaceDescriptors()}var UNe=nce;function k$(e,t){if(e.length!==t.length)throw new Error("euclideanDistance: arr1.length !== arr2.length");let n=Array.from(e),a=Array.from(t);return Math.sqrt(n.map((r,s)=>r-a[s]).reduce((r,s)=>r+s*s,0))}var bg=class{constructor(t,n=.6){this._distanceThreshold=n;let a=Array.isArray(t)?t:[t];if(!a.length)throw new Error("FaceRecognizer.constructor - expected atleast one input");let r=1,s=()=>`person ${r++}`;this._labeledDescriptors=a.map(i=>{if(i instanceof Mr)return i;if(i instanceof Float32Array)return new Mr(s(),[i]);if(i.descriptor&&i.descriptor instanceof Float32Array)return new Mr(s(),[i.descriptor]);throw new Error("FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>")})}get labeledDescriptors(){return this._labeledDescriptors}get distanceThreshold(){return this._distanceThreshold}computeMeanDistance(t,n){return n.map(a=>k$(a,t)).reduce((a,r)=>a+r,0)/(n.length||1)}matchDescriptor(t){return this.labeledDescriptors.map(({descriptors:n,label:a})=>new id(a,this.computeMeanDistance(t,n))).reduce((n,a)=>n.distancet.toJSON())}}static fromJSON(t){let n=t.labeledDescriptors.map(a=>Mr.fromJSON(a));return new bg(n,t.distanceThreshold)}};function o2e(e){let t=new hp;return t.extractWeights(e),t}function ace(e,t){let{width:n,height:a}=new En(t.width,t.height);if(n<=0||a<=0)throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({width:n,height:a})}`);if(Array.isArray(e))return e.map(r=>ace(r,{width:n,height:a}));if(ip(e)){let r=e.detection.forSize(n,a),s=e.unshiftedLandmarks.forSize(r.box.width,r.box.height);return fd(Yu(e,r),s)}return Pr(e)?Yu(e,e.detection.forSize(n,a)):e instanceof va||e instanceof xt?e.forSize(n,a):e}var y2e=GA;export{ag as AgeGenderNet,qu as BoundingBox,ut as Box,Pa as ComposableTask,Fs as ComputeAllFaceDescriptorsTask,cg as ComputeFaceDescriptorsTaskBase,Ds as ComputeSingleFaceDescriptorTask,hg as DetectAllFaceLandmarksTask,bd as DetectAllFacesTask,dg as DetectFaceLandmarksTaskBase,fg as DetectFacesTaskBase,mg as DetectSingleFaceLandmarksTask,gg as DetectSingleFaceTask,En as Dimensions,BA as FACE_EXPRESSION_LABELS,xt as FaceDetection,u$ as FaceDetectionNet,Qf as FaceExpressionNet,Cs as FaceExpressions,lp as FaceLandmark68Net,sg as FaceLandmark68TinyNet,JA as FaceLandmarkNet,va as FaceLandmarks,_A as FaceLandmarks5,Xu as FaceLandmarks68,id as FaceMatch,bg as FaceMatcher,up as FaceRecognitionNet,f1 as Gender,od as LabeledBox,Mr as LabeledFaceDescriptors,Lr as NetInput,dn as NeuralNetwork,Ts as ObjectDetection,Me as Point,EA as PredictedBox,Ku as Rect,_o as SsdMobilenetv1,Ma as SsdMobilenetv1Options,hp as TinyFaceDetector,lg as TinyFaceDetectorOptions,cp as TinyYolov2,fr as TinyYolov2Options,UNe as allFaces,nce as allFacesSsdMobilenetv1,VNe as allFacesTinyYolov2,AA as awaitMediaLoaded,$A as bufferToImage,CTe as computeFaceDescriptor,ep as createCanvas,Hf as createCanvasFromMedia,aSe as createFaceDetectionNet,aIe as createFaceRecognitionNet,Ype as createSsdMobilenetv1,o2e as createTinyFaceDetector,KSe as createTinyYolov2,k1 as detectAllFaces,ece as detectFaceLandmarks,NTe as detectFaceLandmarksTiny,zTe as detectLandmarks,PNe as detectSingleFace,UA as draw,et as env,k$ as euclideanDistance,x1 as extendWithAge,y1 as extendWithFaceDescriptor,Yu as extendWithFaceDetection,h1 as extendWithFaceExpressions,fd as extendWithFaceLandmarks,v1 as extendWithGender,cd as extractFaceTensors,pd as extractFaces,hve as fetchImage,RA as fetchJson,yve as fetchNetWeights,Ns as fetchOrThrow,Sve as fetchVideo,aa as getContext2dOrThrow,Qu as getMediaDimensions,FA as imageTensorToCanvas,DA as imageToSquare,_be as inverseSigmoid,SA as iou,d1 as isMediaElement,Gf as isMediaLoaded,oIe as isWithAge,Pr as isWithFaceDetection,VA as isWithFaceExpressions,ip as isWithFaceLandmarks,cIe as isWithGender,PTe as loadAgeGenderModel,OTe as loadFaceDetectionModel,MTe as loadFaceExpressionModel,FTe as loadFaceLandmarkModel,DTe as loadFaceLandmarkTinyModel,RTe as loadFaceRecognitionModel,tce as loadSsdMobilenetv1Model,ATe as loadTinyFaceDetectorModel,$Te as loadTinyYolov2Model,PA as loadWeightMap,LTe as locateFaces,$ve as matchDimensions,TA as minBbox,tt as nets,NA as nonMaxSuppression,mr as normalize,CA as padToSquare,ETe as predictAgeAndGender,_Te as recognizeFaceExpressions,ace as resizeResults,Zu as resolveInput,Nbe as shuffleArray,Bf as sigmoid,Qpe as ssdMobilenetv1,Oe as tf,STe as tinyFaceDetector,TTe as tinyYolov2,vt as toNetInput,IA as utils,g$ as validateConfig,y2e as version}; //# sourceMappingURL=face-api.esm.js.map diff --git a/dist/face-api.esm.js.map b/dist/face-api.esm.js.map index 9bebb1b..3ff2946 100644 --- a/dist/face-api.esm.js.map +++ b/dist/face-api.esm.js.map @@ -1,7 +1,7 @@ { "version": 3, "sources": ["tfjs.esm.js", "../src/draw/index.ts", "../src/draw/drawContour.ts", "../src/utils/index.ts", "../src/classes/Dimensions.ts", "../src/classes/Point.ts", "../src/classes/Box.ts", "../src/classes/BoundingBox.ts", "../src/classes/ObjectDetection.ts", "../src/classes/FaceDetection.ts", "../src/ops/iou.ts", "../src/ops/minBbox.ts", "../src/ops/nonMaxSuppression.ts", "../src/ops/normalize.ts", "../src/ops/padToSquare.ts", "../src/ops/shuffleArray.ts", "../src/ops/index.ts", "../src/classes/Rect.ts", "../src/classes/FaceLandmarks.ts", "../src/classes/FaceLandmarks5.ts", "../src/classes/FaceLandmarks68.ts", "../src/classes/FaceMatch.ts", "../src/classes/LabeledBox.ts", "../src/classes/LabeledFaceDescriptors.ts", "../src/classes/PredictedBox.ts", "../src/factories/WithFaceDetection.ts", "../src/env/createBrowserEnv.ts", "../src/env/isNodejs.ts", "../src/env/createFileSystem.ts", "../src/env/createNodejsEnv.ts", "../src/env/isBrowser.ts", "../src/env/index.ts", "../src/dom/resolveInput.ts", "../src/dom/getContext2dOrThrow.ts", "../src/draw/DrawTextField.ts", "../src/draw/DrawBox.ts", "../src/draw/drawDetections.ts", "../src/dom/isMediaLoaded.ts", "../src/dom/awaitMediaLoaded.ts", "../src/dom/bufferToImage.ts", "../src/dom/getMediaDimensions.ts", "../src/dom/createCanvas.ts", "../src/dom/imageTensorToCanvas.ts", "../src/dom/isMediaElement.ts", "../src/dom/imageToSquare.ts", "../src/dom/NetInput.ts", "../src/dom/toNetInput.ts", "../src/dom/extractFaces.ts", "../src/dom/extractFaceTensors.ts", "../src/dom/fetchOrThrow.ts", "../src/dom/fetchImage.ts", "../src/dom/fetchJson.ts", "../src/dom/fetchNetWeights.ts", "../src/dom/bufferToVideo.ts", "../src/dom/fetchVideo.ts", "../src/common/getModelUris.ts", "../src/dom/loadWeightMap.ts", "../src/dom/matchDimensions.ts", "../src/NeuralNetwork.ts", "../src/common/depthwiseSeparableConv.ts", "../src/faceFeatureExtractor/denseBlock.ts", "../src/common/convLayer.ts", "../src/common/disposeUnusedWeightTensors.ts", "../src/common/extractConvParamsFactory.ts", "../src/common/extractFCParamsFactory.ts", "../src/common/types.ts", "../src/common/extractSeparableConvParamsFactory.ts", "../src/common/extractWeightEntryFactory.ts", "../src/common/extractWeightsFactory.ts", "../src/faceFeatureExtractor/extractorsFactory.ts", "../src/faceFeatureExtractor/extractParams.ts", "../src/common/loadConvParamsFactory.ts", "../src/faceFeatureExtractor/loadParamsFactory.ts", "../src/faceFeatureExtractor/extractParamsFromWeightMap.ts", "../src/faceFeatureExtractor/FaceFeatureExtractor.ts", "../src/common/fullyConnectedLayer.ts", "../src/faceProcessor/extractParams.ts", "../src/faceProcessor/extractParamsFromWeightMap.ts", "../src/faceProcessor/util.ts", "../src/faceProcessor/FaceProcessor.ts", "../src/faceExpressionNet/FaceExpressions.ts", "../src/faceExpressionNet/FaceExpressionNet.ts", "../src/factories/WithFaceExpressions.ts", "../src/draw/drawFaceExpressions.ts", "../src/factories/WithFaceLandmarks.ts", "../src/draw/DrawFaceLandmarks.ts", "../src/xception/extractParams.ts", "../src/xception/extractParamsFromWeightMap.ts", "../src/xception/TinyXception.ts", "../src/ageGenderNet/extractParams.ts", "../src/ageGenderNet/extractParamsFromWeightMap.ts", "../src/ageGenderNet/types.ts", "../src/ageGenderNet/AgeGenderNet.ts", "../src/faceLandmarkNet/FaceLandmark68NetBase.ts", "../src/faceLandmarkNet/FaceLandmark68Net.ts", "../src/faceFeatureExtractor/extractParamsFromWeightMapTiny.ts", "../src/faceFeatureExtractor/extractParamsTiny.ts", "../src/faceFeatureExtractor/TinyFaceFeatureExtractor.ts", "../src/faceLandmarkNet/FaceLandmark68TinyNet.ts", "../src/faceLandmarkNet/index.ts", "../src/faceRecognitionNet/scaleLayer.ts", "../src/faceRecognitionNet/convLayer.ts", "../src/faceRecognitionNet/extractParams.ts", "../src/faceRecognitionNet/extractParamsFromWeightMap.ts", "../src/faceRecognitionNet/residualLayer.ts", "../src/faceRecognitionNet/FaceRecognitionNet.ts", "../src/faceRecognitionNet/index.ts", "../src/factories/WithFaceDescriptor.ts", "../src/factories/WithAge.ts", "../src/factories/WithGender.ts", "../src/ssdMobilenetv1/extractParams.ts", "../src/ssdMobilenetv1/extractParamsFromWeightMap.ts", "../src/ssdMobilenetv1/pointwiseConvLayer.ts", "../src/ssdMobilenetv1/mobileNetV1.ts", "../src/ssdMobilenetv1/nonMaxSuppression.ts", "../src/ssdMobilenetv1/outputLayer.ts", "../src/ssdMobilenetv1/boxPredictionLayer.ts", "../src/ssdMobilenetv1/predictionLayer.ts", "../src/ssdMobilenetv1/SsdMobilenetv1Options.ts", "../src/ssdMobilenetv1/SsdMobilenetv1.ts", "../src/ssdMobilenetv1/index.ts", "../src/tinyYolov2/const.ts", "../src/tinyYolov2/config.ts", "../src/tinyYolov2/leaky.ts", "../src/tinyYolov2/convWithBatchNorm.ts", "../src/tinyYolov2/depthwiseSeparableConv.ts", "../src/tinyYolov2/extractParams.ts", "../src/tinyYolov2/extractParamsFromWeightMap.ts", "../src/tinyYolov2/TinyYolov2Options.ts", "../src/tinyYolov2/TinyYolov2Base.ts", "../src/tinyYolov2/TinyYolov2.ts", "../src/tinyYolov2/index.ts", "../src/tinyFaceDetector/TinyFaceDetectorOptions.ts", "../src/globalApi/ComposableTask.ts", "../src/globalApi/extractFacesAndComputeResults.ts", "../src/tinyFaceDetector/const.ts", "../src/tinyFaceDetector/TinyFaceDetector.ts", "../src/globalApi/nets.ts", "../src/globalApi/PredictFaceExpressionsTask.ts", "../src/globalApi/PredictAgeAndGenderTask.ts", "../src/globalApi/ComputeFaceDescriptorsTasks.ts", "../src/globalApi/DetectFaceLandmarksTasks.ts", "../src/globalApi/DetectFacesTasks.ts", "../src/globalApi/detectFaces.ts", "../src/globalApi/allFaces.ts", "../src/euclideanDistance.ts", "../src/globalApi/FaceMatcher.ts", "../src/tinyFaceDetector/index.ts", "../src/resizeResults.ts", "../src/index.ts"], - "sourcesContent": ["/*\n Face-API\n homepage: \n author: '\n*/\n\nvar wU=Object.create;var jv=Object.defineProperty;var CU=Object.getOwnPropertyDescriptor;var IU=Object.getOwnPropertyNames;var vU=Object.getPrototypeOf,SU=Object.prototype.hasOwnProperty;var $g=(r=>typeof require!=\"undefined\"?require:typeof Proxy!=\"undefined\"?new Proxy(r,{get:(t,e)=>(typeof require!=\"undefined\"?require:t)[e]}):r)(function(r){if(typeof require!=\"undefined\")return require.apply(this,arguments);throw new Error('Dynamic require of \"'+r+'\" is not supported')});var dr=(r,t)=>()=>(t||r((t={exports:{}}).exports,t),t.exports),Gt=(r,t)=>{for(var e in t)jv(r,e,{get:t[e],enumerable:!0})},NU=(r,t,e,n)=>{if(t&&typeof t==\"object\"||typeof t==\"function\")for(let o of IU(t))!SU.call(r,o)&&o!==e&&jv(r,o,{get:()=>t[o],enumerable:!(n=CU(t,o))||n.enumerable});return r};var Sl=(r,t,e)=>(e=r!=null?wU(vU(r)):{},NU(t||!r||!r.__esModule?jv(e,\"default\",{value:r,enumerable:!0}):e,r));var C1=dr((flt,w1)=>{w1.exports=We;var co=null;try{co=new WebAssembly.Instance(new WebAssembly.Module(new Uint8Array([0,97,115,109,1,0,0,0,1,13,2,96,0,1,127,96,4,127,127,127,127,1,127,3,7,6,0,1,1,1,1,1,6,6,1,127,1,65,0,11,7,50,6,3,109,117,108,0,1,5,100,105,118,95,115,0,2,5,100,105,118,95,117,0,3,5,114,101,109,95,115,0,4,5,114,101,109,95,117,0,5,8,103,101,116,95,104,105,103,104,0,0,10,191,1,6,4,0,35,0,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,126,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,127,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,128,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,129,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,130,34,4,66,32,135,167,36,0,32,4,167,11])),{}).exports}catch(r){}function We(r,t,e){this.low=r|0,this.high=t|0,this.unsigned=!!e}We.prototype.__isLong__;Object.defineProperty(We.prototype,\"__isLong__\",{value:!0});function Dn(r){return(r&&r.__isLong__)===!0}We.isLong=Dn;var p1={},m1={};function Mu(r,t){var e,n,o;return t?(r>>>=0,(o=0<=r&&r<256)&&(n=m1[r],n)?n:(e=Ue(r,(r|0)<0?-1:0,!0),o&&(m1[r]=e),e)):(r|=0,(o=-128<=r&&r<128)&&(n=p1[r],n)?n:(e=Ue(r,r<0?-1:0,!1),o&&(p1[r]=e),e))}We.fromInt=Mu;function po(r,t){if(isNaN(r))return t?Lu:mo;if(t){if(r<0)return Lu;if(r>=g1)return b1}else{if(r<=-d1)return $n;if(r+1>=d1)return y1}return r<0?po(-r,t).neg():Ue(r%Bp|0,r/Bp|0,t)}We.fromNumber=po;function Ue(r,t,e){return new We(r,t,e)}We.fromBits=Ue;var Og=Math.pow;function aS(r,t,e){if(r.length===0)throw Error(\"empty string\");if(r===\"NaN\"||r===\"Infinity\"||r===\"+Infinity\"||r===\"-Infinity\")return mo;if(typeof t==\"number\"?(e=t,t=!1):t=!!t,e=e||10,e<2||360)throw Error(\"interior hyphen\");if(n===0)return aS(r.substring(1),t,e).neg();for(var o=po(Og(e,8)),s=mo,i=0;i>>0:this.low};gt.toNumber=function(){return this.unsigned?(this.high>>>0)*Bp+(this.low>>>0):this.high*Bp+(this.low>>>0)};gt.toString=function(t){if(t=t||10,t<2||36>>0,c=l.toString(t);if(i=u,i.isZero())return c+a;for(;c.length<6;)c=\"0\"+c;a=\"\"+c+a}};gt.getHighBits=function(){return this.high};gt.getHighBitsUnsigned=function(){return this.high>>>0};gt.getLowBits=function(){return this.low};gt.getLowBitsUnsigned=function(){return this.low>>>0};gt.getNumBitsAbs=function(){if(this.isNegative())return this.eq($n)?64:this.neg().getNumBitsAbs();for(var t=this.high!=0?this.high:this.low,e=31;e>0&&(t&1<=0};gt.isOdd=function(){return(this.low&1)===1};gt.isEven=function(){return(this.low&1)===0};gt.equals=function(t){return Dn(t)||(t=Ps(t)),this.unsigned!==t.unsigned&&this.high>>>31===1&&t.high>>>31===1?!1:this.high===t.high&&this.low===t.low};gt.eq=gt.equals;gt.notEquals=function(t){return!this.eq(t)};gt.neq=gt.notEquals;gt.ne=gt.notEquals;gt.lessThan=function(t){return this.comp(t)<0};gt.lt=gt.lessThan;gt.lessThanOrEqual=function(t){return this.comp(t)<=0};gt.lte=gt.lessThanOrEqual;gt.le=gt.lessThanOrEqual;gt.greaterThan=function(t){return this.comp(t)>0};gt.gt=gt.greaterThan;gt.greaterThanOrEqual=function(t){return this.comp(t)>=0};gt.gte=gt.greaterThanOrEqual;gt.ge=gt.greaterThanOrEqual;gt.compare=function(t){if(Dn(t)||(t=Ps(t)),this.eq(t))return 0;var e=this.isNegative(),n=t.isNegative();return e&&!n?-1:!e&&n?1:this.unsigned?t.high>>>0>this.high>>>0||t.high===this.high&&t.low>>>0>this.low>>>0?-1:1:this.sub(t).isNegative()?-1:1};gt.comp=gt.compare;gt.negate=function(){return!this.unsigned&&this.eq($n)?$n:this.not().add(zp)};gt.neg=gt.negate;gt.add=function(t){Dn(t)||(t=Ps(t));var e=this.high>>>16,n=this.high&65535,o=this.low>>>16,s=this.low&65535,i=t.high>>>16,a=t.high&65535,u=t.low>>>16,l=t.low&65535,c=0,p=0,m=0,f=0;return f+=s+l,m+=f>>>16,f&=65535,m+=o+u,p+=m>>>16,m&=65535,p+=n+a,c+=p>>>16,p&=65535,c+=e+i,c&=65535,Ue(m<<16|f,c<<16|p,this.unsigned)};gt.subtract=function(t){return Dn(t)||(t=Ps(t)),this.add(t.neg())};gt.sub=gt.subtract;gt.multiply=function(t){if(this.isZero())return mo;if(Dn(t)||(t=Ps(t)),co){var e=co.mul(this.low,this.high,t.low,t.high);return Ue(e,co.get_high(),this.unsigned)}if(t.isZero())return mo;if(this.eq($n))return t.isOdd()?$n:mo;if(t.eq($n))return this.isOdd()?$n:mo;if(this.isNegative())return t.isNegative()?this.neg().mul(t.neg()):this.neg().mul(t).neg();if(t.isNegative())return this.mul(t.neg()).neg();if(this.lt(h1)&&t.lt(h1))return po(this.toNumber()*t.toNumber(),this.unsigned);var n=this.high>>>16,o=this.high&65535,s=this.low>>>16,i=this.low&65535,a=t.high>>>16,u=t.high&65535,l=t.low>>>16,c=t.low&65535,p=0,m=0,f=0,d=0;return d+=i*c,f+=d>>>16,d&=65535,f+=s*c,m+=f>>>16,f&=65535,f+=i*l,m+=f>>>16,f&=65535,m+=o*c,p+=m>>>16,m&=65535,m+=s*l,p+=m>>>16,m&=65535,m+=i*u,p+=m>>>16,m&=65535,p+=n*c+o*l+s*u+i*a,p&=65535,Ue(f<<16|d,p<<16|m,this.unsigned)};gt.mul=gt.multiply;gt.divide=function(t){if(Dn(t)||(t=Ps(t)),t.isZero())throw Error(\"division by zero\");if(co){if(!this.unsigned&&this.high===-2147483648&&t.low===-1&&t.high===-1)return this;var e=(this.unsigned?co.div_u:co.div_s)(this.low,this.high,t.low,t.high);return Ue(e,co.get_high(),this.unsigned)}if(this.isZero())return this.unsigned?Lu:mo;var n,o,s;if(this.unsigned){if(t.unsigned||(t=t.toUnsigned()),t.gt(this))return Lu;if(t.gt(this.shru(1)))return x1;s=Lu}else{if(this.eq($n)){if(t.eq(zp)||t.eq(iS))return $n;if(t.eq($n))return zp;var i=this.shr(1);return n=i.div(t).shl(1),n.eq(mo)?t.isNegative()?zp:iS:(o=this.sub(t.mul(n)),s=n.add(o.div(t)),s)}else if(t.eq($n))return this.unsigned?Lu:mo;if(this.isNegative())return t.isNegative()?this.neg().div(t.neg()):this.neg().div(t).neg();if(t.isNegative())return this.div(t.neg()).neg();s=mo}for(o=this;o.gte(t);){n=Math.max(1,Math.floor(o.toNumber()/t.toNumber()));for(var a=Math.ceil(Math.log(n)/Math.LN2),u=a<=48?1:Og(2,a-48),l=po(n),c=l.mul(t);c.isNegative()||c.gt(o);)n-=u,l=po(n,this.unsigned),c=l.mul(t);l.isZero()&&(l=zp),s=s.add(l),o=o.sub(c)}return s};gt.div=gt.divide;gt.modulo=function(t){if(Dn(t)||(t=Ps(t)),co){var e=(this.unsigned?co.rem_u:co.rem_s)(this.low,this.high,t.low,t.high);return Ue(e,co.get_high(),this.unsigned)}return this.sub(this.div(t).mul(t))};gt.mod=gt.modulo;gt.rem=gt.modulo;gt.not=function(){return Ue(~this.low,~this.high,this.unsigned)};gt.and=function(t){return Dn(t)||(t=Ps(t)),Ue(this.low&t.low,this.high&t.high,this.unsigned)};gt.or=function(t){return Dn(t)||(t=Ps(t)),Ue(this.low|t.low,this.high|t.high,this.unsigned)};gt.xor=function(t){return Dn(t)||(t=Ps(t)),Ue(this.low^t.low,this.high^t.high,this.unsigned)};gt.shiftLeft=function(t){return Dn(t)&&(t=t.toInt()),(t&=63)===0?this:t<32?Ue(this.low<>>32-t,this.unsigned):Ue(0,this.low<>>t|this.high<<32-t,this.high>>t,this.unsigned):Ue(this.high>>t-32,this.high>=0?0:-1,this.unsigned)};gt.shr=gt.shiftRight;gt.shiftRightUnsigned=function(t){if(Dn(t)&&(t=t.toInt()),t&=63,t===0)return this;var e=this.high;if(t<32){var n=this.low;return Ue(n>>>t|e<<32-t,e>>>t,this.unsigned)}else return t===32?Ue(e,0,this.unsigned):Ue(e>>>t-32,0,this.unsigned)};gt.shru=gt.shiftRightUnsigned;gt.shr_u=gt.shiftRightUnsigned;gt.toSigned=function(){return this.unsigned?Ue(this.low,this.high,!1):this};gt.toUnsigned=function(){return this.unsigned?this:Ue(this.low,this.high,!0)};gt.toBytes=function(t){return t?this.toBytesLE():this.toBytesBE()};gt.toBytesLE=function(){var t=this.high,e=this.low;return[e&255,e>>>8&255,e>>>16&255,e>>>24,t&255,t>>>8&255,t>>>16&255,t>>>24]};gt.toBytesBE=function(){var t=this.high,e=this.low;return[t>>>24,t>>>16&255,t>>>8&255,t&255,e>>>24,e>>>16&255,e>>>8&255,e&255]};We.fromBytes=function(t,e,n){return n?We.fromBytesLE(t,e):We.fromBytesBE(t,e)};We.fromBytesLE=function(t,e){return new We(t[0]|t[1]<<8|t[2]<<16|t[3]<<24,t[4]|t[5]<<8|t[6]<<16|t[7]<<24,e)};We.fromBytesBE=function(t,e){return new We(t[4]<<24|t[5]<<16|t[6]<<8|t[7],t[0]<<24|t[1]<<16|t[2]<<8|t[3],e)}});var eE=dr(()=>{});var rE=dr(()=>{});var o_=dr((n_,ZS)=>{(function(r,t,e){function n(a){var u=this,l=i();u.next=function(){var c=2091639*u.s0+u.c*23283064365386963e-26;return u.s0=u.s1,u.s1=u.s2,u.s2=c-(u.c=c|0)},u.c=1,u.s0=l(\" \"),u.s1=l(\" \"),u.s2=l(\" \"),u.s0-=l(a),u.s0<0&&(u.s0+=1),u.s1-=l(a),u.s1<0&&(u.s1+=1),u.s2-=l(a),u.s2<0&&(u.s2+=1),l=null}function o(a,u){return u.c=a.c,u.s0=a.s0,u.s1=a.s1,u.s2=a.s2,u}function s(a,u){var l=new n(a),c=u&&u.state,p=l.next;return p.int32=function(){return l.next()*4294967296|0},p.double=function(){return p()+(p()*2097152|0)*11102230246251565e-32},p.quick=p,c&&(typeof c==\"object\"&&o(c,l),p.state=function(){return o(l,{})}),p}function i(){var a=4022871197,u=function(l){l=String(l);for(var c=0;c>>0,p-=a,p*=a,a=p>>>0,p-=a,a+=p*4294967296}return(a>>>0)*23283064365386963e-26};return u}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.alea=s})(n_,typeof ZS==\"object\"&&ZS,typeof define==\"function\"&&define)});var i_=dr((s_,JS)=>{(function(r,t,e){function n(i){var a=this,u=\"\";a.x=0,a.y=0,a.z=0,a.w=0,a.next=function(){var c=a.x^a.x<<11;return a.x=a.y,a.y=a.z,a.z=a.w,a.w^=a.w>>>19^c^c>>>8},i===(i|0)?a.x=i:u+=i;for(var l=0;l>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(typeof l==\"object\"&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xor128=s})(s_,typeof JS==\"object\"&&JS,typeof define==\"function\"&&define)});var l_=dr((a_,QS)=>{(function(r,t,e){function n(i){var a=this,u=\"\";a.next=function(){var c=a.x^a.x>>>2;return a.x=a.y,a.y=a.z,a.z=a.w,a.w=a.v,(a.d=a.d+362437|0)+(a.v=a.v^a.v<<4^(c^c<<1))|0},a.x=0,a.y=0,a.z=0,a.w=0,a.v=0,i===(i|0)?a.x=i:u+=i;for(var l=0;l>>4),a.next()}function o(i,a){return a.x=i.x,a.y=i.y,a.z=i.z,a.w=i.w,a.v=i.v,a.d=i.d,a}function s(i,a){var u=new n(i),l=a&&a.state,c=function(){return(u.next()>>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(typeof l==\"object\"&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xorwow=s})(a_,typeof QS==\"object\"&&QS,typeof define==\"function\"&&define)});var c_=dr((u_,t0)=>{(function(r,t,e){function n(i){var a=this;a.next=function(){var l=a.x,c=a.i,p,m,f;return p=l[c],p^=p>>>7,m=p^p<<24,p=l[c+1&7],m^=p^p>>>10,p=l[c+3&7],m^=p^p>>>3,p=l[c+4&7],m^=p^p<<7,p=l[c+7&7],p=p^p<<13,m^=p^p<<9,l[c]=m,a.i=c+1&7,m};function u(l,c){var p,m,f=[];if(c===(c|0))m=f[0]=c;else for(c=\"\"+c,p=0;p0;--p)l.next()}u(a,i)}function o(i,a){return a.x=i.x.slice(),a.i=i.i,a}function s(i,a){i==null&&(i=+new Date);var u=new n(i),l=a&&a.state,c=function(){return(u.next()>>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(l.x&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xorshift7=s})(u_,typeof t0==\"object\"&&t0,typeof define==\"function\"&&define)});var m_=dr((p_,e0)=>{(function(r,t,e){function n(i){var a=this;a.next=function(){var l=a.w,c=a.X,p=a.i,m,f;return a.w=l=l+1640531527|0,f=c[p+34&127],m=c[p=p+1&127],f^=f<<13,m^=m<<17,f^=f>>>15,m^=m>>>12,f=c[p]=f^m,a.i=p,f+(l^l>>>16)|0};function u(l,c){var p,m,f,d,h,g=[],x=128;for(c===(c|0)?(m=c,c=null):(c=c+\"\\0\",m=0,x=Math.max(x,c.length)),f=0,d=-32;d>>15,m^=m<<4,m^=m>>>13,d>=0&&(h=h+1640531527|0,p=g[d&127]^=m+h,f=p==0?f+1:0);for(f>=128&&(g[(c&&c.length||0)&127]=-1),f=127,d=4*128;d>0;--d)m=g[f+34&127],p=g[f=f+1&127],m^=m<<13,p^=p<<17,m^=m>>>15,p^=p>>>12,g[f]=m^p;l.w=h,l.X=g,l.i=f}u(a,i)}function o(i,a){return a.i=i.i,a.w=i.w,a.X=i.X.slice(),a}function s(i,a){i==null&&(i=+new Date);var u=new n(i),l=a&&a.state,c=function(){return(u.next()>>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(l.X&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xor4096=s})(p_,typeof e0==\"object\"&&e0,typeof define==\"function\"&&define)});var d_=dr((f_,r0)=>{(function(r,t,e){function n(i){var a=this,u=\"\";a.next=function(){var c=a.b,p=a.c,m=a.d,f=a.a;return c=c<<25^c>>>7^p,p=p-m|0,m=m<<24^m>>>8^f,f=f-c|0,a.b=c=c<<20^c>>>12^p,a.c=p=p-m|0,a.d=m<<16^p>>>16^f,a.a=f-c|0},a.a=0,a.b=0,a.c=-1640531527,a.d=1367130551,i===Math.floor(i)?(a.a=i/4294967296|0,a.b=i|0):u+=i;for(var l=0;l>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(typeof l==\"object\"&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.tychei=s})(f_,typeof r0==\"object\"&&r0,typeof define==\"function\"&&define)});var h_=dr(()=>{});var x_=dr((g_,Hx)=>{(function(r,t,e){var n=256,o=6,s=52,i=\"random\",a=e.pow(n,o),u=e.pow(2,s),l=u*2,c=n-1,p;function m(w,C,N){var _=[];C=C==!0?{entropy:!0}:C||{};var A=g(h(C.entropy?[w,b(t)]:w==null?x():w,3),_),$=new f(_),F=function(){for(var P=$.g(o),V=a,G=0;P=l;)P/=2,V/=2,G>>>=1;return(P+G)/V};return F.int32=function(){return $.g(4)|0},F.quick=function(){return $.g(4)/4294967296},F.double=F,g(b($.S),t),(C.pass||N||function(P,V,G,W){return W&&(W.S&&d(W,$),P.state=function(){return d($,{})}),G?(e[i]=P,V):P})(F,A,\"global\"in C?C.global:this==e,C.state)}function f(w){var C,N=w.length,_=this,A=0,$=_.i=_.j=0,F=_.S=[];for(N||(w=[N++]);A{var XK=o_(),YK=i_(),ZK=l_(),JK=c_(),QK=m_(),tj=d_(),Ju=x_();Ju.alea=XK;Ju.xor128=YK;Ju.xorwow=ZK;Ju.xorshift7=JK;Ju.xor4096=QK;Ju.tychei=tj;y_.exports=Ju});var pN=dr(()=>{});var qb=dr(()=>{});var eg=dr(()=>{});var _W=dr(()=>{});var AW=dr(()=>{});var $W=dr(()=>{});var DW=dr((lI,AT)=>{var _T=(()=>{var r=typeof document!=\"undefined\"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!=\"undefined\"&&(r=r||__filename),function(t){t=t||{};function e(){return it.buffer!=Kt&&qe(it.buffer),Te}function n(){return it.buffer!=Kt&&qe(it.buffer),fe}function o(){return it.buffer!=Kt&&qe(it.buffer),Ae}function s(){return it.buffer!=Kt&&qe(it.buffer),En}function i(){return it.buffer!=Kt&&qe(it.buffer),nr}function a(){return it.buffer!=Kt&&qe(it.buffer),Wn}function u(){return it.buffer!=Kt&&qe(it.buffer),Or}var l=typeof t!=\"undefined\"?t:{},c,p;l.ready=new Promise(function(L,U){c=L,p=U});var m;typeof process!=\"undefined\"&&process.listeners&&(m={uncaughtException:process.listeners(\"uncaughtException\"),unhandledRejection:process.listeners(\"unhandledRejection\")});var f=Object.assign({},l),d=[],h=\"./this.program\",g=(L,U)=>{throw U},x=typeof window==\"object\",b=typeof importScripts==\"function\",w=typeof process==\"object\"&&typeof process.versions==\"object\"&&typeof process.versions.node==\"string\",C=l.ENVIRONMENT_IS_PTHREAD||!1,N=\"\";function _(L){return l.locateFile?l.locateFile(L,N):N+L}var A,$,F,P;function V(L){if(L instanceof Du)return;Y(\"exiting due to exception: \"+L)}if(w){b?N=eg().dirname(N)+\"/\":N=__dirname+\"/\";var G,W;typeof $g==\"function\"&&(G=qb(),W=eg()),A=(U,ut)=>(U=W.normalize(U),G.readFileSync(U,ut?void 0:\"utf8\")),F=U=>{var ut=A(U,!0);return ut.buffer||(ut=new Uint8Array(ut)),ut},$=(U,ut,xt)=>{U=W.normalize(U),G.readFile(U,function($t,ie){$t?xt($t):ut(ie.buffer)})},process.argv.length>1&&(h=process.argv[1].replace(/\\\\/g,\"/\")),d=process.argv.slice(2),process.on(\"uncaughtException\",function(U){if(!(U instanceof Du))throw U}),process.on(\"unhandledRejection\",function(U){throw U}),g=(U,ut)=>{if(Lo())throw process.exitCode=U,ut;V(ut),process.exit(U)},l.inspect=function(){return\"[Emscripten Module object]\"};let L;try{L=_W()}catch(U){throw console.error('The \"worker_threads\" module is not supported in this node.js build - perhaps a newer version is needed?'),U}global.Worker=L.Worker}else(x||b)&&(b?N=self.location.href:typeof document!=\"undefined\"&&document.currentScript&&(N=document.currentScript.src),typeof r!=\"undefined\"&&r&&(N=r),N.indexOf(\"blob:\")!==0?N=N.substr(0,N.replace(/[?#].*/,\"\").lastIndexOf(\"/\")+1):N=\"\",w||(A=L=>{var U=new XMLHttpRequest;return U.open(\"GET\",L,!1),U.send(null),U.responseText},b&&(F=L=>{var U=new XMLHttpRequest;return U.open(\"GET\",L,!1),U.responseType=\"arraybuffer\",U.send(null),new Uint8Array(U.response)}),$=(L,U,ut)=>{var xt=new XMLHttpRequest;xt.open(\"GET\",L,!0),xt.responseType=\"arraybuffer\",xt.onload=()=>{if(xt.status==200||xt.status==0&&xt.response){U(xt.response);return}ut()},xt.onerror=ut,xt.send(null)}),P=L=>document.title=L);w&&typeof performance==\"undefined\"&&(global.performance=AW().performance);var q=console.log.bind(console),H=console.warn.bind(console);w&&(q=L=>G.writeSync(1,L+`\n`),H=L=>G.writeSync(2,L+`\n`));var j=l.print||q,Y=l.printErr||H;Object.assign(l,f),f=null,l.arguments&&(d=l.arguments),l.thisProgram&&(h=l.thisProgram),l.quit&&(g=l.quit);var Z=4,et=Atomics.load,rt=Atomics.store,ot=Atomics.compareExchange,at;l.wasmBinary&&(at=l.wasmBinary);var nt=l.noExitRuntime||!0;typeof WebAssembly!=\"object\"&&Yc(\"no native wasm support detected\");var it,dt,ht=!1,bt;function Tt(L,U){L||Yc(U)}var _t=typeof TextDecoder!=\"undefined\"?new TextDecoder(\"utf8\"):void 0;function Bt(L,U,ut){for(var xt=U+ut,$t=U;L[$t]&&!($t>=xt);)++$t;if($t-U>16&&L.buffer&&_t)return _t.decode(L.buffer instanceof SharedArrayBuffer?L.slice(U,$t):L.subarray(U,$t));for(var ie=\"\";U<$t;){var Vt=L[U++];if(!(Vt&128)){ie+=String.fromCharCode(Vt);continue}var jt=L[U++]&63;if((Vt&224)==192){ie+=String.fromCharCode((Vt&31)<<6|jt);continue}var fr=L[U++]&63;if((Vt&240)==224?Vt=(Vt&15)<<12|jt<<6|fr:Vt=(Vt&7)<<18|jt<<12|fr<<6|L[U++]&63,Vt<65536)ie+=String.fromCharCode(Vt);else{var Kn=Vt-65536;ie+=String.fromCharCode(55296|Kn>>10,56320|Kn&1023)}}return ie}function Yt(L,U){return L?Bt(n(),L,U):\"\"}function ce(L,U,ut,xt){if(!(xt>0))return 0;for(var $t=ut,ie=ut+xt-1,Vt=0;Vt=55296&&jt<=57343){var fr=L.charCodeAt(++Vt);jt=65536+((jt&1023)<<10)|fr&1023}if(jt<=127){if(ut>=ie)break;U[ut++]=jt}else if(jt<=2047){if(ut+1>=ie)break;U[ut++]=192|jt>>6,U[ut++]=128|jt&63}else if(jt<=65535){if(ut+2>=ie)break;U[ut++]=224|jt>>12,U[ut++]=128|jt>>6&63,U[ut++]=128|jt&63}else{if(ut+3>=ie)break;U[ut++]=240|jt>>18,U[ut++]=128|jt>>12&63,U[ut++]=128|jt>>6&63,U[ut++]=128|jt&63}}return U[ut]=0,ut-$t}function he(L,U,ut){return ce(L,n(),U,ut)}var Kt,Te,fe,Ae,Ge,En,nr,Wn,Or;C&&(Kt=l.buffer);function qe(L){Kt=L,l.HEAP8=Te=new Int8Array(L),l.HEAP16=Ae=new Int16Array(L),l.HEAP32=En=new Int32Array(L),l.HEAPU8=fe=new Uint8Array(L),l.HEAPU16=Ge=new Uint16Array(L),l.HEAPU32=nr=new Uint32Array(L),l.HEAPF32=Wn=new Float32Array(L),l.HEAPF64=Or=new Float64Array(L)}var Pr=l.INITIAL_MEMORY||16777216;if(C)it=l.wasmMemory,Kt=l.buffer;else if(l.wasmMemory)it=l.wasmMemory;else if(it=new WebAssembly.Memory({initial:Pr/65536,maximum:32768,shared:!0}),!(it.buffer instanceof SharedArrayBuffer))throw Y(\"requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag\"),w&&console.log(\"(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and also use a recent version)\"),Error(\"bad memory\");it&&(Kt=it.buffer),Pr=Kt.byteLength,qe(Kt);var Lr,Un=[],Hn=[],jr=[],Xi=!1;function Lo(){return nt}function wl(){if(l.preRun)for(typeof l.preRun==\"function\"&&(l.preRun=[l.preRun]);l.preRun.length;)_d(l.preRun.shift());Fd(Un)}function Nr(){Xi=!0,!C&&Fd(Hn)}function Yi(){if(!C){if(l.postRun)for(typeof l.postRun==\"function\"&&(l.postRun=[l.postRun]);l.postRun.length;)LT(l.postRun.shift());Fd(jr)}}function _d(L){Un.unshift(L)}function Ad(L){Hn.unshift(L)}function LT(L){jr.unshift(L)}var Cl=0,Xc=null,Zi=null;function MT(L){Cl++,l.monitorRunDependencies&&l.monitorRunDependencies(Cl)}function zT(L){if(Cl--,l.monitorRunDependencies&&l.monitorRunDependencies(Cl),Cl==0&&(Xc!==null&&(clearInterval(Xc),Xc=null),Zi)){var U=Zi;Zi=null,U()}}function Yc(L){C?postMessage({cmd:\"onAbort\",arg:L}):l.onAbort&&l.onAbort(L),L=\"Aborted(\"+L+\")\",Y(L),ht=!0,bt=1,L+=\". Build with -sASSERTIONS for more info.\";var U=new WebAssembly.RuntimeError(L);throw p(U),U}var pI=\"data:application/octet-stream;base64,\";function ig(L){return L.startsWith(pI)}function $d(L){return L.startsWith(\"file://\")}var en;en=\"tfjs-backend-wasm-threaded-simd.wasm\",ig(en)||(en=_(en));function ag(L){try{if(L==en&&at)return new Uint8Array(at);if(F)return F(L);throw\"both async and sync fetching of the wasm failed\"}catch(U){Yc(U)}}function mI(){if(!at&&(x||b)){if(typeof fetch==\"function\"&&!$d(en))return fetch(en,{credentials:\"same-origin\"}).then(function(L){if(!L.ok)throw\"failed to load wasm binary file at '\"+en+\"'\";return L.arrayBuffer()}).catch(function(){return ag(en)});if($)return new Promise(function(L,U){$(en,function(ut){L(new Uint8Array(ut))},U)})}return Promise.resolve().then(function(){return ag(en)})}function fI(){var L={env:bg,wasi_snapshot_preview1:bg};function U(Vt,jt){var fr=Vt.exports;if(l.asm=fr,vI(l.asm._emscripten_tls_init),Lr=l.asm.__indirect_function_table,Ad(l.asm.__wasm_call_ctors),dt=jt,!C){var Kn=qt.unusedWorkers.length;qt.unusedWorkers.forEach(function(Qi){qt.loadWasmModuleToWorker(Qi,function(){--Kn||zT(\"wasm-instantiate\")})})}}C||MT(\"wasm-instantiate\");function ut(Vt){U(Vt.instance,Vt.module)}function xt(Vt){return mI().then(function(jt){return WebAssembly.instantiate(jt,L)}).then(function(jt){return jt}).then(Vt,function(jt){Y(\"failed to asynchronously prepare wasm: \"+jt),Yc(jt)})}function $t(){return!at&&typeof WebAssembly.instantiateStreaming==\"function\"&&!ig(en)&&!$d(en)&&!w&&typeof fetch==\"function\"?fetch(en,{credentials:\"same-origin\"}).then(function(Vt){var jt=WebAssembly.instantiateStreaming(Vt,L);return jt.then(ut,function(fr){return Y(\"wasm streaming compile failed: \"+fr),Y(\"falling back to ArrayBuffer instantiation\"),xt(ut)})}):xt(ut)}if(l.instantiateWasm)try{var ie=l.instantiateWasm(L,U);return ie}catch(Vt){Y(\"Module.instantiateWasm callback failed with error: \"+Vt),p(Vt)}return $t().catch(p),{}}var dI,BT,hI={};function Du(L){this.name=\"ExitStatus\",this.message=\"Program terminated with exit(\"+L+\")\",this.status=L}function gI(L){var U=qt.pthreads[L];delete qt.pthreads[L],U.terminate(),Hv(L),qt.runningWorkers.splice(qt.runningWorkers.indexOf(U),1),U.pthread_ptr=0}function xI(L){var U=qt.pthreads[L];U.postMessage({cmd:\"cancel\"})}function Dd(L){var U=qt.pthreads[L];Tt(U),qt.returnWorkerToPool(U)}function lg(L){var U=qt.getNewWorker();if(!U)return 6;qt.runningWorkers.push(U),qt.pthreads[L.pthread_ptr]=U,U.pthread_ptr=L.pthread_ptr;var ut={cmd:\"run\",start_routine:L.startRoutine,arg:L.arg,pthread_ptr:L.pthread_ptr};return U.runPthread=()=>{ut.time=performance.now(),U.postMessage(ut,L.transferList)},U.loaded&&(U.runPthread(),delete U.runPthread),0}var ug={varargs:void 0,get:function(){ug.varargs+=4;var L=s()[ug.varargs-4>>2];return L},getStr:function(L){var U=Yt(L);return U}};function Rd(L){if(C)return Il(1,1,L);bt=L,Lo()||(qt.terminateAllThreads(),l.onExit&&l.onExit(L),ht=!0),g(L,new Du(L))}function VT(L,U){if(bt=L,!U&&C)throw pg(L),\"unwind\";Rd(L)}var cg=VT;function yI(L){if(L instanceof Du||L==\"unwind\")return bt;g(1,L)}var qt={unusedWorkers:[],runningWorkers:[],tlsInitFunctions:[],pthreads:{},init:function(){C?qt.initWorker():qt.initMainThread()},initMainThread:function(){for(var L=8;L--;)qt.allocateUnusedWorker()},initWorker:function(){nt=!1},setExitStatus:function(L){bt=L},terminateAllThreads:function(){for(var L of Object.values(qt.pthreads))qt.returnWorkerToPool(L);for(var L of qt.unusedWorkers)L.terminate();qt.unusedWorkers=[]},returnWorkerToPool:function(L){var U=L.pthread_ptr;delete qt.pthreads[U],qt.unusedWorkers.push(L),qt.runningWorkers.splice(qt.runningWorkers.indexOf(L),1),L.pthread_ptr=0,Hv(U)},receiveObjectTransfer:function(L){},threadInitTLS:function(){qt.tlsInitFunctions.forEach(L=>L())},loadWasmModuleToWorker:function(L,U){L.onmessage=ut=>{var xt=ut.data,$t=xt.cmd;if(L.pthread_ptr&&(qt.currentProxiedOperationCallerThread=L.pthread_ptr),xt.targetThread&&xt.targetThread!=Ng()){var ie=qt.pthreads[xt.targetThread];ie?ie.postMessage(xt,xt.transferList):Y('Internal error! Worker sent a message \"'+$t+'\" to target pthread '+xt.targetThread+\", but that thread no longer exists!\"),qt.currentProxiedOperationCallerThread=void 0;return}$t===\"processProxyingQueue\"?Od(xt.queue):$t===\"spawnThread\"?lg(xt):$t===\"cleanupThread\"?Dd(xt.thread):$t===\"killThread\"?gI(xt.thread):$t===\"cancelThread\"?xI(xt.thread):$t===\"loaded\"?(L.loaded=!0,U&&U(L),L.runPthread&&(L.runPthread(),delete L.runPthread)):$t===\"print\"?j(\"Thread \"+xt.threadId+\": \"+xt.text):$t===\"printErr\"?Y(\"Thread \"+xt.threadId+\": \"+xt.text):$t===\"alert\"?alert(\"Thread \"+xt.threadId+\": \"+xt.text):xt.target===\"setimmediate\"?L.postMessage(xt):$t===\"onAbort\"?l.onAbort&&l.onAbort(xt.arg):$t&&Y(\"worker sent an unknown command \"+$t),qt.currentProxiedOperationCallerThread=void 0},L.onerror=ut=>{var xt=\"worker sent an error!\";throw Y(xt+\" \"+ut.filename+\":\"+ut.lineno+\": \"+ut.message),ut},w&&(L.on(\"message\",function(ut){L.onmessage({data:ut})}),L.on(\"error\",function(ut){L.onerror(ut)}),L.on(\"detachedExit\",function(){})),L.postMessage({cmd:\"load\",urlOrBlob:l.mainScriptUrlOrBlob||r,wasmMemory:it,wasmModule:dt})},allocateUnusedWorker:function(){var L=_(\"tfjs-backend-wasm-threaded-simd.worker.js\");qt.unusedWorkers.push(new Worker(L))},getNewWorker:function(){return qt.unusedWorkers.length==0&&(qt.allocateUnusedWorker(),qt.loadWasmModuleToWorker(qt.unusedWorkers[0])),qt.unusedWorkers.pop()}};l.PThread=qt;function Fd(L){for(;L.length>0;)L.shift()(l)}function bI(L){var U=qv(),ut=L();return kg(U),ut}function GT(L){return L}function WT(L){var U=/\\b_Z[\\w\\d_]+/g;return L.replace(U,function(ut){var xt=ut;return ut===xt?ut:xt+\" [\"+ut+\"]\"})}function wI(){var L=Ng(),U=s()[L+44>>2],ut=s()[L+48>>2],xt=U-ut;YT(U,xt),kg(U)}l.establishStackSpace=wI;function pg(L){if(C)return Il(2,0,L);try{cg(L)}catch(U){yI(U)}}var Zc=[];function CI(L){var U=Zc[L];return U||(L>=Zc.length&&(Zc.length=L+1),Zc[L]=U=Lr.get(L)),U}function II(L,U){var ut=CI(L)(U);Lo()?qt.setExitStatus(ut):XT(ut)}l.invokeEntryPoint=II;function UT(){var L=new Error;if(!L.stack){try{throw new Error}catch(U){L=U}if(!L.stack)return\"(no stack trace available)\"}return L.stack.toString()}function vI(L){qt.tlsInitFunctions.push(L)}function SI(L,U){e().set(L,U)}function NI(L){qT(L,!b,1,!x),qt.threadInitTLS()}function kI(L){C?postMessage({cmd:\"cleanupThread\",thread:L}):Dd(L)}function mg(L,U,ut,xt){return C?Il(3,1,L,U,ut,xt):fg(L,U,ut,xt)}function fg(L,U,ut,xt){if(typeof SharedArrayBuffer==\"undefined\")return Y(\"Current environment does not support SharedArrayBuffer, pthreads are not available!\"),6;var $t=[],ie=0;if(C&&($t.length===0||ie))return mg(L,U,ut,xt);if(ie)return ie;var Vt={startRoutine:ut,pthread_ptr:L,arg:xt,transferList:$t};return C?(Vt.cmd=\"spawnThread\",postMessage(Vt,$t),0):lg(Vt)}function TI(){return 2097152}var EI=!0;function _I(){return EI}function Od(L){Atomics.store(s(),L>>2,1),Ng()&&jT(L),Atomics.compareExchange(s(),L>>2,1,0)}l.executeNotifiedProxyingQueue=Od;function AI(L,U,ut,xt){if(L==U)setTimeout(()=>Od(xt));else if(C)postMessage({targetThread:L,cmd:\"processProxyingQueue\",queue:xt});else{var $t=qt.pthreads[L];if(!$t)return;$t.postMessage({cmd:\"processProxyingQueue\",queue:xt})}return 1}function $I(L,U,ut){return-1}function DI(){Yc(\"\")}function Ru(L){Ru.shown||(Ru.shown={}),Ru.shown[L]||(Ru.shown[L]=1,w&&(L=\"warning: \"+L),Y(L))}function RI(){w||b||Ru(\"Blocking on the main thread is very dangerous, see https://emscripten.org/docs/porting/pthreads.html#blocking-on-the-main-browser-thread\")}function FI(){return Date.now()}function dg(){return 2147483648}function OI(){return dg()}var Jc;w?Jc=()=>{var L=process.hrtime();return L[0]*1e3+L[1]/1e6}:C?Jc=()=>performance.now()-l.__performance_now_clock_drift:Jc=()=>performance.now();function PI(L,U,ut){n().copyWithin(L,U,U+ut)}function LI(){return w?$W().cpus().length:navigator.hardwareConcurrency}function Il(L,U){var ut=arguments.length-2,xt=arguments;return bI(()=>{for(var $t=ut,ie=Tg($t*8),Vt=ie>>3,jt=0;jt>3,$t=0;$t>>16),qe(it.buffer),1}catch(U){}}function BI(L){var U=n().length;if(L=L>>>0,L<=U)return!1;var ut=dg();if(L>ut)return!1;let xt=(fr,Kn)=>fr+(Kn-fr%Kn)%Kn;for(var $t=1;$t<=4;$t*=2){var ie=U*(1+.2/$t);ie=Math.min(ie,L+100663296);var Vt=Math.min(ut,xt(Math.max(L,ie),65536)),jt=zI(Vt);if(jt)return!0}return!1}function VI(){throw\"unwind\"}function hg(L){return C?Il(4,1,L):52}function gg(L,U,ut,xt,$t){return C?Il(5,1,L,U,ut,xt,$t):70}var GI=[null,[],[]];function WI(L,U){var ut=GI[L];U===0||U===10?((L===1?j:Y)(Bt(ut,0)),ut.length=0):ut.push(U)}function xg(L,U,ut,xt){if(C)return Il(6,1,L,U,ut,xt);for(var $t=0,ie=0;ie>2],jt=i()[U+4>>2];U+=8;for(var fr=0;fr>2]=$t,0}function yg(L){var U=l[\"_\"+L];return U}function UI(L,U,ut,xt,$t){var ie={string:_n=>{var rp=0;if(_n!=null&&_n!==0){var QT=(_n.length<<2)+1;rp=Tg(QT),he(_n,rp,QT)}return rp},array:_n=>{var rp=Tg(_n.length);return SI(_n,rp),rp}};function Vt(_n){return U===\"string\"?Yt(_n):U===\"boolean\"?Boolean(_n):_n}var jt=yg(L),fr=[],Kn=0;if(xt)for(var Qi=0;QiVt===\"number\"||Vt===\"boolean\"),ie=U!==\"string\";return ie&&$t&&!xt?yg(L):function(){return UI(L,U,ut,arguments,xt)}}qt.init();var qI=[null,Rd,pg,mg,hg,gg,xg],bg={__emscripten_init_main_thread_js:NI,__emscripten_thread_cleanup:kI,__pthread_create_js:fg,_emscripten_default_pthread_stack_size:TI,_emscripten_get_now_is_monotonic:_I,_emscripten_notify_task_queue:AI,_emscripten_set_offscreencanvas_size:$I,abort:DI,emscripten_check_blocking_allowed:RI,emscripten_date_now:FI,emscripten_get_heap_max:OI,emscripten_get_now:Jc,emscripten_memcpy_big:PI,emscripten_num_logical_cores:LI,emscripten_receive_on_main_thread_js:MI,emscripten_resize_heap:BI,emscripten_unwind_to_js_event_loop:VI,exit:cg,fd_close:hg,fd_seek:gg,fd_write:xg,memory:it||l.wasmMemory},HT=fI(),KI=l.___wasm_call_ctors=function(){return(KI=l.___wasm_call_ctors=l.asm.__wasm_call_ctors).apply(null,arguments)},jI=l._init=function(){return(jI=l._init=l.asm.init).apply(null,arguments)},XI=l._init_with_threads_count=function(){return(XI=l._init_with_threads_count=l.asm.init_with_threads_count).apply(null,arguments)},YI=l._get_threads_count=function(){return(YI=l._get_threads_count=l.asm.get_threads_count).apply(null,arguments)},ZI=l._register_tensor=function(){return(ZI=l._register_tensor=l.asm.register_tensor).apply(null,arguments)},JI=l._dispose_data=function(){return(JI=l._dispose_data=l.asm.dispose_data).apply(null,arguments)},QI=l._dispose=function(){return(QI=l._dispose=l.asm.dispose).apply(null,arguments)},tv=l._Abs=function(){return(tv=l._Abs=l.asm.Abs).apply(null,arguments)},ev=l._Add=function(){return(ev=l._Add=l.asm.Add).apply(null,arguments)},rv=l._AddN=function(){return(rv=l._AddN=l.asm.AddN).apply(null,arguments)},nv=l._All=function(){return(nv=l._All=l.asm.All).apply(null,arguments)},ov=l._Any=function(){return(ov=l._Any=l.asm.Any).apply(null,arguments)},sv=l._ArgMax=function(){return(sv=l._ArgMax=l.asm.ArgMax).apply(null,arguments)},iv=l._AvgPool=function(){return(iv=l._AvgPool=l.asm.AvgPool).apply(null,arguments)},av=l._BatchMatMul=function(){return(av=l._BatchMatMul=l.asm.BatchMatMul).apply(null,arguments)},lv=l._Ceil=function(){return(lv=l._Ceil=l.asm.Ceil).apply(null,arguments)},uv=l._ClipByValue=function(){return(uv=l._ClipByValue=l.asm.ClipByValue).apply(null,arguments)},cv=l._Conv2D=function(){return(cv=l._Conv2D=l.asm.Conv2D).apply(null,arguments)},pv=l._Conv2DBackpropInput=function(){return(pv=l._Conv2DBackpropInput=l.asm.Conv2DBackpropInput).apply(null,arguments)},mv=l._Cos=function(){return(mv=l._Cos=l.asm.Cos).apply(null,arguments)},fv=l._Cosh=function(){return(fv=l._Cosh=l.asm.Cosh).apply(null,arguments)},dv=l._CropAndResize=function(){return(dv=l._CropAndResize=l.asm.CropAndResize).apply(null,arguments)},hv=l._Cumprod=function(){return(hv=l._Cumprod=l.asm.Cumprod).apply(null,arguments)},gv=l._Cumsum=function(){return(gv=l._Cumsum=l.asm.Cumsum).apply(null,arguments)},xv=l._DepthToSpace=function(){return(xv=l._DepthToSpace=l.asm.DepthToSpace).apply(null,arguments)},yv=l._DepthwiseConv2dNative=function(){return(yv=l._DepthwiseConv2dNative=l.asm.DepthwiseConv2dNative).apply(null,arguments)},bv=l._Elu=function(){return(bv=l._Elu=l.asm.Elu).apply(null,arguments)},wv=l._Equal=function(){return(wv=l._Equal=l.asm.Equal).apply(null,arguments)},Cv=l._Exp=function(){return(Cv=l._Exp=l.asm.Exp).apply(null,arguments)},Iv=l._FlipLeftRight=function(){return(Iv=l._FlipLeftRight=l.asm.FlipLeftRight).apply(null,arguments)},vv=l._Floor=function(){return(vv=l._Floor=l.asm.Floor).apply(null,arguments)},Sv=l._FloorDiv=function(){return(Sv=l._FloorDiv=l.asm.FloorDiv).apply(null,arguments)},Nv=l._FusedBatchNorm=function(){return(Nv=l._FusedBatchNorm=l.asm.FusedBatchNorm).apply(null,arguments)},kv=l._FusedConv2D=function(){return(kv=l._FusedConv2D=l.asm.FusedConv2D).apply(null,arguments)},Tv=l._FusedDepthwiseConv2D=function(){return(Tv=l._FusedDepthwiseConv2D=l.asm.FusedDepthwiseConv2D).apply(null,arguments)},Ev=l._Gather=function(){return(Ev=l._Gather=l.asm.Gather).apply(null,arguments)},_v=l._GatherNd=function(){return(_v=l._GatherNd=l.asm.GatherNd).apply(null,arguments)},Av=l._Greater=function(){return(Av=l._Greater=l.asm.Greater).apply(null,arguments)},$v=l._GreaterEqual=function(){return($v=l._GreaterEqual=l.asm.GreaterEqual).apply(null,arguments)},Dv=l._LeakyRelu=function(){return(Dv=l._LeakyRelu=l.asm.LeakyRelu).apply(null,arguments)},Rv=l._Less=function(){return(Rv=l._Less=l.asm.Less).apply(null,arguments)},Fv=l._LessEqual=function(){return(Fv=l._LessEqual=l.asm.LessEqual).apply(null,arguments)},Ov=l._Log=function(){return(Ov=l._Log=l.asm.Log).apply(null,arguments)},Pv=l._LogicalAnd=function(){return(Pv=l._LogicalAnd=l.asm.LogicalAnd).apply(null,arguments)},Lv=l._LogicalNot=function(){return(Lv=l._LogicalNot=l.asm.LogicalNot).apply(null,arguments)},Mv=l._LogicalOr=function(){return(Mv=l._LogicalOr=l.asm.LogicalOr).apply(null,arguments)},zv=l._LogicalXor=function(){return(zv=l._LogicalXor=l.asm.LogicalXor).apply(null,arguments)},Bv=l._Max=function(){return(Bv=l._Max=l.asm.Max).apply(null,arguments)},wg=l._MaxPool=function(){return(wg=l._MaxPool=l.asm.MaxPool).apply(null,arguments)},Cg=l._Maximum=function(){return(Cg=l._Maximum=l.asm.Maximum).apply(null,arguments)},Ld=l._Mean=function(){return(Ld=l._Mean=l.asm.Mean).apply(null,arguments)},Vv=l._Min=function(){return(Vv=l._Min=l.asm.Min).apply(null,arguments)},Gv=l._Minimum=function(){return(Gv=l._Minimum=l.asm.Minimum).apply(null,arguments)},Qc=l._MirrorPad=function(){return(Qc=l._MirrorPad=l.asm.MirrorPad).apply(null,arguments)},Ig=l._Multiply=function(){return(Ig=l._Multiply=l.asm.Multiply).apply(null,arguments)},tp=l._Neg=function(){return(tp=l._Neg=l.asm.Neg).apply(null,arguments)},ep=l._NonMaxSuppressionV3=function(){return(ep=l._NonMaxSuppressionV3=l.asm.NonMaxSuppressionV3).apply(null,arguments)},Wv=l._NonMaxSuppressionV4=function(){return(Wv=l._NonMaxSuppressionV4=l.asm.NonMaxSuppressionV4).apply(null,arguments)},K=l._NonMaxSuppressionV5=function(){return(K=l._NonMaxSuppressionV5=l.asm.NonMaxSuppressionV5).apply(null,arguments)},lt=l._NotEqual=function(){return(lt=l._NotEqual=l.asm.NotEqual).apply(null,arguments)},Et=l._OneHot=function(){return(Et=l._OneHot=l.asm.OneHot).apply(null,arguments)},re=l._PadV2=function(){return(re=l._PadV2=l.asm.PadV2).apply(null,arguments)},Ke=l._Pow=function(){return(Ke=l._Pow=l.asm.Pow).apply(null,arguments)},je=l._Prelu=function(){return(je=l._Prelu=l.asm.Prelu).apply(null,arguments)},ee=l._Prod=function(){return(ee=l._Prod=l.asm.Prod).apply(null,arguments)},te=l._RealDiv=function(){return(te=l._RealDiv=l.asm.RealDiv).apply(null,arguments)},mr=l._Relu=function(){return(mr=l._Relu=l.asm.Relu).apply(null,arguments)},qn=l._Relu6=function(){return(qn=l._Relu6=l.asm.Relu6).apply(null,arguments)},Ji=l._ResizeBilinear=function(){return(Ji=l._ResizeBilinear=l.asm.ResizeBilinear).apply(null,arguments)},vg=l._ResizeNearestNeighbor=function(){return(vg=l._ResizeNearestNeighbor=l.asm.ResizeNearestNeighbor).apply(null,arguments)},Md=l._Reverse=function(){return(Md=l._Reverse=l.asm.Reverse).apply(null,arguments)},Uv=l._RotateWithOffset=function(){return(Uv=l._RotateWithOffset=l.asm.RotateWithOffset).apply(null,arguments)},rn=l._Round=function(){return(rn=l._Round=l.asm.Round).apply(null,arguments)},vl=l._Rsqrt=function(){return(vl=l._Rsqrt=l.asm.Rsqrt).apply(null,arguments)},Sg=l._ScatterNd=function(){return(Sg=l._ScatterNd=l.asm.ScatterNd).apply(null,arguments)},VW=l._SelectV2=function(){return(VW=l._SelectV2=l.asm.SelectV2).apply(null,arguments)},GW=l._Sigmoid=function(){return(GW=l._Sigmoid=l.asm.Sigmoid).apply(null,arguments)},WW=l._Sin=function(){return(WW=l._Sin=l.asm.Sin).apply(null,arguments)},UW=l._Softmax=function(){return(UW=l._Softmax=l.asm.Softmax).apply(null,arguments)},HW=l._SparseFillEmptyRows=function(){return(HW=l._SparseFillEmptyRows=l.asm.SparseFillEmptyRows).apply(null,arguments)},qW=l._SparseReshape=function(){return(qW=l._SparseReshape=l.asm.SparseReshape).apply(null,arguments)},KW=l._SparseSegmentReduction=function(){return(KW=l._SparseSegmentReduction=l.asm.SparseSegmentReduction).apply(null,arguments)},jW=l._Sqrt=function(){return(jW=l._Sqrt=l.asm.Sqrt).apply(null,arguments)},XW=l._Square=function(){return(XW=l._Square=l.asm.Square).apply(null,arguments)},YW=l._SquaredDifference=function(){return(YW=l._SquaredDifference=l.asm.SquaredDifference).apply(null,arguments)},ZW=l._Step=function(){return(ZW=l._Step=l.asm.Step).apply(null,arguments)},JW=l._StridedSlice=function(){return(JW=l._StridedSlice=l.asm.StridedSlice).apply(null,arguments)},QW=l._Sub=function(){return(QW=l._Sub=l.asm.Sub).apply(null,arguments)},tU=l._Sum=function(){return(tU=l._Sum=l.asm.Sum).apply(null,arguments)},eU=l._Tan=function(){return(eU=l._Tan=l.asm.Tan).apply(null,arguments)},rU=l._Tanh=function(){return(rU=l._Tanh=l.asm.Tanh).apply(null,arguments)},nU=l._Tile=function(){return(nU=l._Tile=l.asm.Tile).apply(null,arguments)},oU=l._TopK=function(){return(oU=l._TopK=l.asm.TopK).apply(null,arguments)},sU=l._Transform=function(){return(sU=l._Transform=l.asm.Transform).apply(null,arguments)},iU=l._Transpose=function(){return(iU=l._Transpose=l.asm.Transpose).apply(null,arguments)},aU=l.__FusedMatMul=function(){return(aU=l.__FusedMatMul=l.asm._FusedMatMul).apply(null,arguments)},lU=l._malloc=function(){return(lU=l._malloc=l.asm.malloc).apply(null,arguments)},uU=l._free=function(){return(uU=l._free=l.asm.free).apply(null,arguments)},cU=l.__emscripten_tls_init=function(){return(cU=l.__emscripten_tls_init=l.asm._emscripten_tls_init).apply(null,arguments)},Ng=l._pthread_self=function(){return(Ng=l._pthread_self=l.asm.pthread_self).apply(null,arguments)},pU=l.___errno_location=function(){return(pU=l.___errno_location=l.asm.__errno_location).apply(null,arguments)},qT=l.__emscripten_thread_init=function(){return(qT=l.__emscripten_thread_init=l.asm._emscripten_thread_init).apply(null,arguments)},mU=l.__emscripten_thread_crashed=function(){return(mU=l.__emscripten_thread_crashed=l.asm._emscripten_thread_crashed).apply(null,arguments)},fU=l._emscripten_main_thread_process_queued_calls=function(){return(fU=l._emscripten_main_thread_process_queued_calls=l.asm.emscripten_main_thread_process_queued_calls).apply(null,arguments)},dU=l._emscripten_main_browser_thread_id=function(){return(dU=l._emscripten_main_browser_thread_id=l.asm.emscripten_main_browser_thread_id).apply(null,arguments)},KT=l._emscripten_run_in_main_runtime_thread_js=function(){return(KT=l._emscripten_run_in_main_runtime_thread_js=l.asm.emscripten_run_in_main_runtime_thread_js).apply(null,arguments)},hU=l._emscripten_dispatch_to_thread_=function(){return(hU=l._emscripten_dispatch_to_thread_=l.asm.emscripten_dispatch_to_thread_).apply(null,arguments)},jT=l.__emscripten_proxy_execute_task_queue=function(){return(jT=l.__emscripten_proxy_execute_task_queue=l.asm._emscripten_proxy_execute_task_queue).apply(null,arguments)},Hv=l.__emscripten_thread_free_data=function(){return(Hv=l.__emscripten_thread_free_data=l.asm._emscripten_thread_free_data).apply(null,arguments)},XT=l.__emscripten_thread_exit=function(){return(XT=l.__emscripten_thread_exit=l.asm._emscripten_thread_exit).apply(null,arguments)},YT=l._emscripten_stack_set_limits=function(){return(YT=l._emscripten_stack_set_limits=l.asm.emscripten_stack_set_limits).apply(null,arguments)},qv=l.stackSave=function(){return(qv=l.stackSave=l.asm.stackSave).apply(null,arguments)},kg=l.stackRestore=function(){return(kg=l.stackRestore=l.asm.stackRestore).apply(null,arguments)},Tg=l.stackAlloc=function(){return(Tg=l.stackAlloc=l.asm.stackAlloc).apply(null,arguments)},gU=l.dynCall_iijjiiii=function(){return(gU=l.dynCall_iijjiiii=l.asm.dynCall_iijjiiii).apply(null,arguments)},xU=l.dynCall_jiji=function(){return(xU=l.dynCall_jiji=l.asm.dynCall_jiji).apply(null,arguments)};l.keepRuntimeAlive=Lo,l.wasmMemory=it,l.cwrap=HI,l.ExitStatus=Du,l.PThread=qt;var Eg;Zi=function L(){Eg||ZT(),Eg||(Zi=L)};function ZT(L){if(L=L||d,Cl>0)return;if(C){c(l),Nr(),postMessage({cmd:\"loaded\"});return}if(wl(),Cl>0)return;function U(){Eg||(Eg=!0,l.calledRun=!0,!ht&&(Nr(),c(l),l.onRuntimeInitialized&&l.onRuntimeInitialized(),Yi()))}l.setStatus?(l.setStatus(\"Running...\"),setTimeout(function(){setTimeout(function(){l.setStatus(\"\")},1),U()},1)):U()}if(l.preInit)for(typeof l.preInit==\"function\"&&(l.preInit=[l.preInit]);l.preInit.length>0;)l.preInit.pop()();ZT();var _g;m&&(_g={uncaughtException:process.listeners(\"uncaughtException\").filter(function(L){return!m.uncaughtException.indexOf(L)>-1}),unhandledRejection:process.listeners(\"unhandledRejection\").filter(function(L){return!m.unhandledRejection.indexOf(L)>-1})});var Ag;if(typeof WasmBackendModule!=\"undefined\")Ag=WasmBackendModule;else if(typeof t!=\"undefined\")Ag=t;else throw new Error(\"Could not find wasm module in post.js\");if(_g){var yU=Ag._dispose;Ag._dispose=function(){yU(),_g.uncaughtException.forEach(function(L){process.removeListener(\"uncaughtException\",L)}),_g.unhandledRejection.forEach(function(L){process.removeListener(\"unhandledRejection\",L)})}}return t.ready}})();typeof lI==\"object\"&&typeof AT==\"object\"?AT.exports=_T:typeof define==\"function\"&&define.amd?define([],function(){return _T}):typeof lI==\"object\"&&(lI.WasmBackendModuleThreadedSimd=_T)});var FW=dr((HXe,RW)=>{RW.exports.wasmWorkerContents=`\"use strict\";var Module={};var ENVIRONMENT_IS_NODE=typeof process==\"object\"&&typeof process.versions==\"object\"&&typeof process.versions.node==\"string\";if(ENVIRONMENT_IS_NODE){var nodeWorkerThreads=require(\"worker_threads\");var parentPort=nodeWorkerThreads.parentPort;parentPort.on(\"message\",data=>onmessage({data:data}));var fs=require(\"fs\");Object.assign(global,{self:global,require:require,Module:Module,location:{href:__filename},Worker:nodeWorkerThreads.Worker,importScripts:function(f){(0,eval)(fs.readFileSync(f,\"utf8\"))},postMessage:function(msg){parentPort.postMessage(msg)},performance:global.performance||{now:function(){return Date.now()}}})}var initializedJS=false;var pendingNotifiedProxyingQueues=[];function threadPrintErr(){var text=Array.prototype.slice.call(arguments).join(\" \");if(ENVIRONMENT_IS_NODE){fs.writeSync(2,text+\"\n\");return}console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(\" \");postMessage({cmd:\"alert\",text:text,threadId:Module[\"_pthread_self\"]()})}var err=threadPrintErr;self.alert=threadAlert;Module[\"instantiateWasm\"]=(info,receiveInstance)=>{var instance=new WebAssembly.Instance(Module[\"wasmModule\"],info);receiveInstance(instance);Module[\"wasmModule\"]=null;return instance.exports};self.onunhandledrejection=e=>{throw e.reason??e};self.onmessage=e=>{try{if(e.data.cmd===\"load\"){Module[\"wasmModule\"]=e.data.wasmModule;Module[\"wasmMemory\"]=e.data.wasmMemory;Module[\"buffer\"]=Module[\"wasmMemory\"].buffer;Module[\"ENVIRONMENT_IS_PTHREAD\"]=true;if(typeof e.data.urlOrBlob==\"string\"){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}WasmBackendModuleThreadedSimd(Module).then(function(instance){Module=instance})}else if(e.data.cmd===\"run\"){Module[\"__performance_now_clock_drift\"]=performance.now()-e.data.time;Module[\"__emscripten_thread_init\"](e.data.pthread_ptr,0,0,1);Module[\"establishStackSpace\"]();Module[\"PThread\"].receiveObjectTransfer(e.data);Module[\"PThread\"].threadInitTLS();if(!initializedJS){pendingNotifiedProxyingQueues.forEach(queue=>{Module[\"executeNotifiedProxyingQueue\"](queue)});pendingNotifiedProxyingQueues=[];initializedJS=true}try{Module[\"invokeEntryPoint\"](e.data.start_routine,e.data.arg)}catch(ex){if(ex!=\"unwind\"){if(ex instanceof Module[\"ExitStatus\"]){if(Module[\"keepRuntimeAlive\"]()){}else{Module[\"__emscripten_thread_exit\"](ex.status)}}else{throw ex}}}}else if(e.data.cmd===\"cancel\"){if(Module[\"_pthread_self\"]()){Module[\"__emscripten_thread_exit\"](-1)}}else if(e.data.target===\"setimmediate\"){}else if(e.data.cmd===\"processProxyingQueue\"){if(initializedJS){Module[\"executeNotifiedProxyingQueue\"](e.data.queue)}else{pendingNotifiedProxyingQueues.push(e.data.queue)}}else if(e.data.cmd){err(\"worker.js received unknown command \"+e.data.cmd);err(e.data)}}catch(ex){if(Module[\"__emscripten_thread_crashed\"]){Module[\"__emscripten_thread_crashed\"]()}throw ex}};`});var OW=dr((uI,DT)=>{var $T=(()=>{var r=typeof document!=\"undefined\"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!=\"undefined\"&&(r=r||__filename),function(t){t=t||{};var e=typeof t!=\"undefined\"?t:{},n,o;e.ready=new Promise(function(K,lt){n=K,o=lt});var s;typeof process!=\"undefined\"&&process.listeners&&(s={uncaughtException:process.listeners(\"uncaughtException\"),unhandledRejection:process.listeners(\"unhandledRejection\")});var i=Object.assign({},e),a=[],u=\"./this.program\",l=(K,lt)=>{throw lt},c=typeof window==\"object\",p=typeof importScripts==\"function\",m=typeof process==\"object\"&&typeof process.versions==\"object\"&&typeof process.versions.node==\"string\",f=\"\";function d(K){return e.locateFile?e.locateFile(K,f):f+K}var h,g,x,b;function w(K){if(K instanceof Xc)return;A(\"exiting due to exception: \"+K)}if(m){p?f=eg().dirname(f)+\"/\":f=__dirname+\"/\";var C,N;typeof $g==\"function\"&&(C=qb(),N=eg()),h=(K,lt)=>(K=N.normalize(K),C.readFileSync(K,lt?void 0:\"utf8\")),x=K=>{var lt=h(K,!0);return lt.buffer||(lt=new Uint8Array(lt)),lt},g=(K,lt,Et)=>{K=N.normalize(K),C.readFile(K,function(re,Ke){re?Et(re):lt(Ke.buffer)})},process.argv.length>1&&(u=process.argv[1].replace(/\\\\/g,\"/\")),a=process.argv.slice(2),process.on(\"uncaughtException\",function(K){if(!(K instanceof Xc))throw K}),process.on(\"unhandledRejection\",function(K){throw K}),l=(K,lt)=>{if(fe())throw process.exitCode=K,lt;w(lt),process.exit(K)},e.inspect=function(){return\"[Emscripten Module object]\"}}else(c||p)&&(p?f=self.location.href:typeof document!=\"undefined\"&&document.currentScript&&(f=document.currentScript.src),r&&(f=r),f.indexOf(\"blob:\")!==0?f=f.substr(0,f.replace(/[?#].*/,\"\").lastIndexOf(\"/\")+1):f=\"\",h=K=>{var lt=new XMLHttpRequest;return lt.open(\"GET\",K,!1),lt.send(null),lt.responseText},p&&(x=K=>{var lt=new XMLHttpRequest;return lt.open(\"GET\",K,!1),lt.responseType=\"arraybuffer\",lt.send(null),new Uint8Array(lt.response)}),g=(K,lt,Et)=>{var re=new XMLHttpRequest;re.open(\"GET\",K,!0),re.responseType=\"arraybuffer\",re.onload=()=>{if(re.status==200||re.status==0&&re.response){lt(re.response);return}Et()},re.onerror=Et,re.send(null)},b=K=>document.title=K);var _=e.print||console.log.bind(console),A=e.printErr||console.warn.bind(console);Object.assign(e,i),i=null,e.arguments&&(a=e.arguments),e.thisProgram&&(u=e.thisProgram),e.quit&&(l=e.quit);var $=4,F;e.wasmBinary&&(F=e.wasmBinary);var P=e.noExitRuntime||!0;typeof WebAssembly!=\"object\"&&jr(\"no native wasm support detected\");var V,G=!1,W;function q(K,lt){K||jr(lt)}var H=typeof TextDecoder!=\"undefined\"?new TextDecoder(\"utf8\"):void 0;function j(K,lt,Et){for(var re=lt+Et,Ke=lt;K[Ke]&&!(Ke>=re);)++Ke;if(Ke-lt>16&&K.buffer&&H)return H.decode(K.subarray(lt,Ke));for(var je=\"\";lt>10,56320|qn&1023)}}return je}function Y(K,lt){return K?j(at,K,lt):\"\"}function Z(K,lt,Et,re){if(!(re>0))return 0;for(var Ke=Et,je=Et+re-1,ee=0;ee=55296&&te<=57343){var mr=K.charCodeAt(++ee);te=65536+((te&1023)<<10)|mr&1023}if(te<=127){if(Et>=je)break;lt[Et++]=te}else if(te<=2047){if(Et+1>=je)break;lt[Et++]=192|te>>6,lt[Et++]=128|te&63}else if(te<=65535){if(Et+2>=je)break;lt[Et++]=224|te>>12,lt[Et++]=128|te>>6&63,lt[Et++]=128|te&63}else{if(Et+3>=je)break;lt[Et++]=240|te>>18,lt[Et++]=128|te>>12&63,lt[Et++]=128|te>>6&63,lt[Et++]=128|te&63}}return lt[Et]=0,Et-Ke}function et(K,lt,Et){return Z(K,at,lt,Et)}var rt,ot,at,nt,it,dt,ht,bt,Tt;function _t(K){rt=K,e.HEAP8=ot=new Int8Array(K),e.HEAP16=nt=new Int16Array(K),e.HEAP32=dt=new Int32Array(K),e.HEAPU8=at=new Uint8Array(K),e.HEAPU16=it=new Uint16Array(K),e.HEAPU32=ht=new Uint32Array(K),e.HEAPF32=bt=new Float32Array(K),e.HEAPF64=Tt=new Float64Array(K)}var Bt=e.INITIAL_MEMORY||16777216,Yt,ce=[],he=[],Kt=[],Te=!1;function fe(){return P}function Ae(){if(e.preRun)for(typeof e.preRun==\"function\"&&(e.preRun=[e.preRun]);e.preRun.length;)nr(e.preRun.shift());Zi(ce)}function Ge(){Te=!0,Zi(he)}function En(){if(e.postRun)for(typeof e.postRun==\"function\"&&(e.postRun=[e.postRun]);e.postRun.length;)Or(e.postRun.shift());Zi(Kt)}function nr(K){ce.unshift(K)}function Wn(K){he.unshift(K)}function Or(K){Kt.unshift(K)}var qe=0,Pr=null,Lr=null;function Un(K){qe++,e.monitorRunDependencies&&e.monitorRunDependencies(qe)}function Hn(K){if(qe--,e.monitorRunDependencies&&e.monitorRunDependencies(qe),qe==0&&(Pr!==null&&(clearInterval(Pr),Pr=null),Lr)){var lt=Lr;Lr=null,lt()}}function jr(K){e.onAbort&&e.onAbort(K),K=\"Aborted(\"+K+\")\",A(K),G=!0,W=1,K+=\". Build with -sASSERTIONS for more info.\";var lt=new WebAssembly.RuntimeError(K);throw o(lt),lt}var Xi=\"data:application/octet-stream;base64,\";function Lo(K){return K.startsWith(Xi)}function wl(K){return K.startsWith(\"file://\")}var Nr;Nr=\"tfjs-backend-wasm.wasm\",Lo(Nr)||(Nr=d(Nr));function Yi(K){try{if(K==Nr&&F)return new Uint8Array(F);if(x)return x(K);throw\"both async and sync fetching of the wasm failed\"}catch(lt){jr(lt)}}function _d(){if(!F&&(c||p)){if(typeof fetch==\"function\"&&!wl(Nr))return fetch(Nr,{credentials:\"same-origin\"}).then(function(K){if(!K.ok)throw\"failed to load wasm binary file at '\"+Nr+\"'\";return K.arrayBuffer()}).catch(function(){return Yi(Nr)});if(g)return new Promise(function(K,lt){g(Nr,function(Et){K(new Uint8Array(Et))},lt)})}return Promise.resolve().then(function(){return Yi(Nr)})}function Ad(){var K={env:Rd,wasi_snapshot_preview1:Rd};function lt(ee,te){var mr=ee.exports;e.asm=mr,V=e.asm.memory,_t(V.buffer),Yt=e.asm.__indirect_function_table,Wn(e.asm.__wasm_call_ctors),Hn(\"wasm-instantiate\")}Un(\"wasm-instantiate\");function Et(ee){lt(ee.instance)}function re(ee){return _d().then(function(te){return WebAssembly.instantiate(te,K)}).then(function(te){return te}).then(ee,function(te){A(\"failed to asynchronously prepare wasm: \"+te),jr(te)})}function Ke(){return!F&&typeof WebAssembly.instantiateStreaming==\"function\"&&!Lo(Nr)&&!wl(Nr)&&!m&&typeof fetch==\"function\"?fetch(Nr,{credentials:\"same-origin\"}).then(function(ee){var te=WebAssembly.instantiateStreaming(ee,K);return te.then(Et,function(mr){return A(\"wasm streaming compile failed: \"+mr),A(\"falling back to ArrayBuffer instantiation\"),re(Et)})}):re(Et)}if(e.instantiateWasm)try{var je=e.instantiateWasm(K,lt);return je}catch(ee){A(\"Module.instantiateWasm callback failed with error: \"+ee),o(ee)}return Ke().catch(o),{}}var LT,Cl;function Xc(K){this.name=\"ExitStatus\",this.message=\"Program terminated with exit(\"+K+\")\",this.status=K}function Zi(K){for(;K.length>0;)K.shift()(e)}function MT(K){return K}function zT(K){var lt=/\\b_Z[\\w\\d_]+/g;return K.replace(lt,function(Et){var re=Et;return Et===re?Et:re+\" [\"+Et+\"]\"})}function Yc(){var K=new Error;if(!K.stack){try{throw new Error}catch(lt){K=lt}if(!K.stack)return\"(no stack trace available)\"}return K.stack.toString()}function pI(K,lt){ot.set(K,lt)}function ig(){jr(\"\")}function $d(){return 2147483648}function en(){return $d()}function ag(K,lt,Et){at.copyWithin(K,lt,lt+Et)}function mI(K){try{return V.grow(K-rt.byteLength+65535>>>16),_t(V.buffer),1}catch(lt){}}function fI(K){var lt=at.length;K=K>>>0;var Et=$d();if(K>Et)return!1;let re=(mr,qn)=>mr+(qn-mr%qn)%qn;for(var Ke=1;Ke<=4;Ke*=2){var je=lt*(1+.2/Ke);je=Math.min(je,K+100663296);var ee=Math.min(Et,re(Math.max(K,je),65536)),te=mI(ee);if(te)return!0}return!1}var dI={varargs:void 0,get:function(){dI.varargs+=4;var K=dt[dI.varargs-4>>2];return K},getStr:function(K){var lt=Y(K);return lt}};function BT(K){return 52}function hI(K,lt,Et,re,Ke){return 70}var Du=[null,[],[]];function gI(K,lt){var Et=Du[K];lt===0||lt===10?((K===1?_:A)(j(Et,0)),Et.length=0):Et.push(lt)}function xI(K,lt,Et,re){for(var Ke=0,je=0;je>2],te=ht[lt+4>>2];lt+=8;for(var mr=0;mr>2]=Ke,0}function Dd(K){var lt=e[\"_\"+K];return lt}function lg(K,lt,Et,re,Ke){var je={string:rn=>{var vl=0;if(rn!=null&&rn!==0){var Sg=(rn.length<<2)+1;vl=Ld(Sg),et(rn,vl,Sg)}return vl},array:rn=>{var vl=Ld(rn.length);return pI(rn,vl),vl}};function ee(rn){return lt===\"string\"?Y(rn):lt===\"boolean\"?Boolean(rn):rn}var te=Dd(K),mr=[],qn=0;if(re)for(var Ji=0;Jiee===\"number\"||ee===\"boolean\"),je=lt!==\"string\";return je&&Ke&&!re?Dd(K):function(){return lg(K,lt,Et,arguments,re)}}var Rd={abort:ig,emscripten_get_heap_max:en,emscripten_memcpy_big:ag,emscripten_resize_heap:fI,fd_close:BT,fd_seek:hI,fd_write:xI},VT=Ad(),cg=e.___wasm_call_ctors=function(){return(cg=e.___wasm_call_ctors=e.asm.__wasm_call_ctors).apply(null,arguments)},yI=e._init=function(){return(yI=e._init=e.asm.init).apply(null,arguments)},qt=e._init_with_threads_count=function(){return(qt=e._init_with_threads_count=e.asm.init_with_threads_count).apply(null,arguments)},Fd=e._get_threads_count=function(){return(Fd=e._get_threads_count=e.asm.get_threads_count).apply(null,arguments)},bI=e._register_tensor=function(){return(bI=e._register_tensor=e.asm.register_tensor).apply(null,arguments)},GT=e._dispose_data=function(){return(GT=e._dispose_data=e.asm.dispose_data).apply(null,arguments)},WT=e._dispose=function(){return(WT=e._dispose=e.asm.dispose).apply(null,arguments)},wI=e._Abs=function(){return(wI=e._Abs=e.asm.Abs).apply(null,arguments)},pg=e._Add=function(){return(pg=e._Add=e.asm.Add).apply(null,arguments)},Zc=e._AddN=function(){return(Zc=e._AddN=e.asm.AddN).apply(null,arguments)},CI=e._All=function(){return(CI=e._All=e.asm.All).apply(null,arguments)},II=e._Any=function(){return(II=e._Any=e.asm.Any).apply(null,arguments)},UT=e._ArgMax=function(){return(UT=e._ArgMax=e.asm.ArgMax).apply(null,arguments)},vI=e._AvgPool=function(){return(vI=e._AvgPool=e.asm.AvgPool).apply(null,arguments)},SI=e._BatchMatMul=function(){return(SI=e._BatchMatMul=e.asm.BatchMatMul).apply(null,arguments)},NI=e._Ceil=function(){return(NI=e._Ceil=e.asm.Ceil).apply(null,arguments)},kI=e._ClipByValue=function(){return(kI=e._ClipByValue=e.asm.ClipByValue).apply(null,arguments)},mg=e._Conv2D=function(){return(mg=e._Conv2D=e.asm.Conv2D).apply(null,arguments)},fg=e._Conv2DBackpropInput=function(){return(fg=e._Conv2DBackpropInput=e.asm.Conv2DBackpropInput).apply(null,arguments)},TI=e._Cos=function(){return(TI=e._Cos=e.asm.Cos).apply(null,arguments)},EI=e._Cosh=function(){return(EI=e._Cosh=e.asm.Cosh).apply(null,arguments)},_I=e._CropAndResize=function(){return(_I=e._CropAndResize=e.asm.CropAndResize).apply(null,arguments)},Od=e._Cumprod=function(){return(Od=e._Cumprod=e.asm.Cumprod).apply(null,arguments)},AI=e._Cumsum=function(){return(AI=e._Cumsum=e.asm.Cumsum).apply(null,arguments)},$I=e._DepthToSpace=function(){return($I=e._DepthToSpace=e.asm.DepthToSpace).apply(null,arguments)},DI=e._DepthwiseConv2dNative=function(){return(DI=e._DepthwiseConv2dNative=e.asm.DepthwiseConv2dNative).apply(null,arguments)},Ru=e._Elu=function(){return(Ru=e._Elu=e.asm.Elu).apply(null,arguments)},RI=e._Equal=function(){return(RI=e._Equal=e.asm.Equal).apply(null,arguments)},FI=e._Exp=function(){return(FI=e._Exp=e.asm.Exp).apply(null,arguments)},dg=e._FlipLeftRight=function(){return(dg=e._FlipLeftRight=e.asm.FlipLeftRight).apply(null,arguments)},OI=e._Floor=function(){return(OI=e._Floor=e.asm.Floor).apply(null,arguments)},Jc=e._FloorDiv=function(){return(Jc=e._FloorDiv=e.asm.FloorDiv).apply(null,arguments)},PI=e._FusedBatchNorm=function(){return(PI=e._FusedBatchNorm=e.asm.FusedBatchNorm).apply(null,arguments)},LI=e._FusedConv2D=function(){return(LI=e._FusedConv2D=e.asm.FusedConv2D).apply(null,arguments)},Il=e._FusedDepthwiseConv2D=function(){return(Il=e._FusedDepthwiseConv2D=e.asm.FusedDepthwiseConv2D).apply(null,arguments)},Pd=e._Gather=function(){return(Pd=e._Gather=e.asm.Gather).apply(null,arguments)},MI=e._GatherNd=function(){return(MI=e._GatherNd=e.asm.GatherNd).apply(null,arguments)},zI=e._Greater=function(){return(zI=e._Greater=e.asm.Greater).apply(null,arguments)},BI=e._GreaterEqual=function(){return(BI=e._GreaterEqual=e.asm.GreaterEqual).apply(null,arguments)},VI=e._LeakyRelu=function(){return(VI=e._LeakyRelu=e.asm.LeakyRelu).apply(null,arguments)},hg=e._Less=function(){return(hg=e._Less=e.asm.Less).apply(null,arguments)},gg=e._LessEqual=function(){return(gg=e._LessEqual=e.asm.LessEqual).apply(null,arguments)},GI=e._Log=function(){return(GI=e._Log=e.asm.Log).apply(null,arguments)},WI=e._LogicalAnd=function(){return(WI=e._LogicalAnd=e.asm.LogicalAnd).apply(null,arguments)},xg=e._LogicalNot=function(){return(xg=e._LogicalNot=e.asm.LogicalNot).apply(null,arguments)},yg=e._LogicalOr=function(){return(yg=e._LogicalOr=e.asm.LogicalOr).apply(null,arguments)},UI=e._LogicalXor=function(){return(UI=e._LogicalXor=e.asm.LogicalXor).apply(null,arguments)},HI=e._Max=function(){return(HI=e._Max=e.asm.Max).apply(null,arguments)},qI=e._MaxPool=function(){return(qI=e._MaxPool=e.asm.MaxPool).apply(null,arguments)},bg=e._Maximum=function(){return(bg=e._Maximum=e.asm.Maximum).apply(null,arguments)},HT=e._Mean=function(){return(HT=e._Mean=e.asm.Mean).apply(null,arguments)},KI=e._Min=function(){return(KI=e._Min=e.asm.Min).apply(null,arguments)},jI=e._Minimum=function(){return(jI=e._Minimum=e.asm.Minimum).apply(null,arguments)},XI=e._MirrorPad=function(){return(XI=e._MirrorPad=e.asm.MirrorPad).apply(null,arguments)},YI=e._Multiply=function(){return(YI=e._Multiply=e.asm.Multiply).apply(null,arguments)},ZI=e._Neg=function(){return(ZI=e._Neg=e.asm.Neg).apply(null,arguments)},JI=e._NonMaxSuppressionV3=function(){return(JI=e._NonMaxSuppressionV3=e.asm.NonMaxSuppressionV3).apply(null,arguments)},QI=e._NonMaxSuppressionV4=function(){return(QI=e._NonMaxSuppressionV4=e.asm.NonMaxSuppressionV4).apply(null,arguments)},tv=e._NonMaxSuppressionV5=function(){return(tv=e._NonMaxSuppressionV5=e.asm.NonMaxSuppressionV5).apply(null,arguments)},ev=e._NotEqual=function(){return(ev=e._NotEqual=e.asm.NotEqual).apply(null,arguments)},rv=e._OneHot=function(){return(rv=e._OneHot=e.asm.OneHot).apply(null,arguments)},nv=e._PadV2=function(){return(nv=e._PadV2=e.asm.PadV2).apply(null,arguments)},ov=e._Pow=function(){return(ov=e._Pow=e.asm.Pow).apply(null,arguments)},sv=e._Prelu=function(){return(sv=e._Prelu=e.asm.Prelu).apply(null,arguments)},iv=e._Prod=function(){return(iv=e._Prod=e.asm.Prod).apply(null,arguments)},av=e._RealDiv=function(){return(av=e._RealDiv=e.asm.RealDiv).apply(null,arguments)},lv=e._Relu=function(){return(lv=e._Relu=e.asm.Relu).apply(null,arguments)},uv=e._Relu6=function(){return(uv=e._Relu6=e.asm.Relu6).apply(null,arguments)},cv=e._ResizeBilinear=function(){return(cv=e._ResizeBilinear=e.asm.ResizeBilinear).apply(null,arguments)},pv=e._ResizeNearestNeighbor=function(){return(pv=e._ResizeNearestNeighbor=e.asm.ResizeNearestNeighbor).apply(null,arguments)},mv=e._Reverse=function(){return(mv=e._Reverse=e.asm.Reverse).apply(null,arguments)},fv=e._RotateWithOffset=function(){return(fv=e._RotateWithOffset=e.asm.RotateWithOffset).apply(null,arguments)},dv=e._Round=function(){return(dv=e._Round=e.asm.Round).apply(null,arguments)},hv=e._Rsqrt=function(){return(hv=e._Rsqrt=e.asm.Rsqrt).apply(null,arguments)},gv=e._ScatterNd=function(){return(gv=e._ScatterNd=e.asm.ScatterNd).apply(null,arguments)},xv=e._SelectV2=function(){return(xv=e._SelectV2=e.asm.SelectV2).apply(null,arguments)},yv=e._Sigmoid=function(){return(yv=e._Sigmoid=e.asm.Sigmoid).apply(null,arguments)},bv=e._Sin=function(){return(bv=e._Sin=e.asm.Sin).apply(null,arguments)},wv=e._Softmax=function(){return(wv=e._Softmax=e.asm.Softmax).apply(null,arguments)},Cv=e._SparseFillEmptyRows=function(){return(Cv=e._SparseFillEmptyRows=e.asm.SparseFillEmptyRows).apply(null,arguments)},Iv=e._SparseReshape=function(){return(Iv=e._SparseReshape=e.asm.SparseReshape).apply(null,arguments)},vv=e._SparseSegmentReduction=function(){return(vv=e._SparseSegmentReduction=e.asm.SparseSegmentReduction).apply(null,arguments)},Sv=e._Sqrt=function(){return(Sv=e._Sqrt=e.asm.Sqrt).apply(null,arguments)},Nv=e._Square=function(){return(Nv=e._Square=e.asm.Square).apply(null,arguments)},kv=e._SquaredDifference=function(){return(kv=e._SquaredDifference=e.asm.SquaredDifference).apply(null,arguments)},Tv=e._Step=function(){return(Tv=e._Step=e.asm.Step).apply(null,arguments)},Ev=e._StridedSlice=function(){return(Ev=e._StridedSlice=e.asm.StridedSlice).apply(null,arguments)},_v=e._Sub=function(){return(_v=e._Sub=e.asm.Sub).apply(null,arguments)},Av=e._Sum=function(){return(Av=e._Sum=e.asm.Sum).apply(null,arguments)},$v=e._Tan=function(){return($v=e._Tan=e.asm.Tan).apply(null,arguments)},Dv=e._Tanh=function(){return(Dv=e._Tanh=e.asm.Tanh).apply(null,arguments)},Rv=e._Tile=function(){return(Rv=e._Tile=e.asm.Tile).apply(null,arguments)},Fv=e._TopK=function(){return(Fv=e._TopK=e.asm.TopK).apply(null,arguments)},Ov=e._Transform=function(){return(Ov=e._Transform=e.asm.Transform).apply(null,arguments)},Pv=e._Transpose=function(){return(Pv=e._Transpose=e.asm.Transpose).apply(null,arguments)},Lv=e.__FusedMatMul=function(){return(Lv=e.__FusedMatMul=e.asm._FusedMatMul).apply(null,arguments)},Mv=e._malloc=function(){return(Mv=e._malloc=e.asm.malloc).apply(null,arguments)},zv=e._free=function(){return(zv=e._free=e.asm.free).apply(null,arguments)},Bv=e.___errno_location=function(){return(Bv=e.___errno_location=e.asm.__errno_location).apply(null,arguments)},wg=e.stackSave=function(){return(wg=e.stackSave=e.asm.stackSave).apply(null,arguments)},Cg=e.stackRestore=function(){return(Cg=e.stackRestore=e.asm.stackRestore).apply(null,arguments)},Ld=e.stackAlloc=function(){return(Ld=e.stackAlloc=e.asm.stackAlloc).apply(null,arguments)},Vv=e.dynCall_iijjiiii=function(){return(Vv=e.dynCall_iijjiiii=e.asm.dynCall_iijjiiii).apply(null,arguments)},Gv=e.dynCall_jiji=function(){return(Gv=e.dynCall_jiji=e.asm.dynCall_jiji).apply(null,arguments)};e.cwrap=ug;var Qc;Lr=function K(){Qc||Ig(),Qc||(Lr=K)};function Ig(K){if(K=K||a,qe>0||(Ae(),qe>0))return;function lt(){Qc||(Qc=!0,e.calledRun=!0,!G&&(Ge(),n(e),e.onRuntimeInitialized&&e.onRuntimeInitialized(),En()))}e.setStatus?(e.setStatus(\"Running...\"),setTimeout(function(){setTimeout(function(){e.setStatus(\"\")},1),lt()},1)):lt()}if(e.preInit)for(typeof e.preInit==\"function\"&&(e.preInit=[e.preInit]);e.preInit.length>0;)e.preInit.pop()();Ig();var tp;s&&(tp={uncaughtException:process.listeners(\"uncaughtException\").filter(function(K){return!s.uncaughtException.indexOf(K)>-1}),unhandledRejection:process.listeners(\"unhandledRejection\").filter(function(K){return!s.unhandledRejection.indexOf(K)>-1})});var ep;if(typeof t!=\"undefined\")ep=t;else if(typeof WasmBackendModuleThreadedSimd!=\"undefined\")ep=WasmBackendModuleThreadedSimd;else throw new Error(\"Could not find wasm module in post.js\");if(tp){var Wv=ep._dispose;ep._dispose=function(){Wv(),tp.uncaughtException.forEach(function(K){process.removeListener(\"uncaughtException\",K)}),tp.unhandledRejection.forEach(function(K){process.removeListener(\"unhandledRejection\",K)})}}return t.ready}})();typeof uI==\"object\"&&typeof DT==\"object\"?DT.exports=$T:typeof define==\"function\"&&define.amd?define([],function(){return $T}):typeof uI==\"object\"&&(uI.WasmBackendModule=$T)});var ta=class{constructor(t,e){this.backend=t,this.dataMover=e,this.data=new WeakMap,this.dataIdsCount=0}get(t){return this.data.has(t)||this.dataMover.moveData(this.backend,t),this.data.get(t)}set(t,e){this.dataIdsCount++,this.data.set(t,e)}has(t){return this.data.has(t)}delete(t){return this.dataIdsCount--,this.data.delete(t)}numDataIds(){return this.dataIdsCount}},Mo=class{refCount(t){return jn(\"refCount\")}incRef(t){return jn(\"incRef\")}timerAvailable(){return!0}time(t){return jn(\"time\")}read(t){return jn(\"read\")}readSync(t){return jn(\"readSync\")}readToGPU(t,e){return jn(\"readToGPU\")}numDataIds(){return jn(\"numDataIds\")}disposeData(t,e){return jn(\"disposeData\")}write(t,e,n){return jn(\"write\")}move(t,e,n,o,s){return jn(\"move\")}memory(){return jn(\"memory\")}floatPrecision(){return jn(\"floatPrecision\")}epsilon(){return this.floatPrecision()===32?1e-7:1e-4}dispose(){return jn(\"dispose\")}};function jn(r){throw new Error(`'${r}' not yet implemented or not found in the registry. This kernel may not be supported by the tfjs backend you have chosen`)}function t1(r){let t=r.length,e=0;for(;t>0;)e=Math.random()*t|0,t--,Dg(r,t,e)}function kU(r,t){if(r.length!==t.length)throw new Error(`Array sizes must match to be shuffled together First array length was ${r.length}Second array length was ${t.length}`);let e=r.length,n=0;for(;e>0;)n=Math.random()*e|0,e--,Dg(r,e,n),Dg(t,e,n)}function np(r,t,e){return Math.max(r,Math.min(t,e))}function TU(r){return r%2===0?r:r+1}function Dg(r,t,e){let n=r[t];r[t]=r[e],r[e]=n}function EU(r){let t=0;for(let e=0;ee+` Shapes ${r} and ${t} must match`)}function Xn(r){E(r!=null,()=>\"The input to the tensor constructor must be a non-null value.\")}function zo(r,t=[],e=!1){if(t==null&&(t=[]),Array.isArray(r)||hr(r)&&!e)for(let n=0;n0,e,n=setTimeout){return new Promise((o,s)=>{let i=0,a=()=>{if(r()){o();return}i++;let u=t(i);if(e!=null&&i>=e){s();return}n(a,u)};a()})}function PU(r,t){let e=1,n=-1;for(let s=0;s=0)e*=r[s];else if(r[s]===-1){if(n!==-1)throw Error(`Shapes can only have 1 implicit size. Found -1 at dim ${n} and dim ${s}`);n=s}else if(r[s]<0)throw Error(`Shapes can not be < 0. Found ${r[s]} at dim ${s}`);if(n===-1){if(t>0&&t!==e)throw Error(`Size(${t}) must match the product of shape ${r}`);return r}if(e===0)throw Error(`Cannot infer the missing size in [${r}] when there are 0 elements`);if(t%e!==0)throw Error(`The implicit shape can't be a fractional number. Got ${t} / ${e}`);let o=r.slice();return o[n]=t/e,o}function ar(r,t){let e=t.length;return r=r==null?t.map((n,o)=>o):[].concat(r),E(r.every(n=>n>=-e&&n`All values in axis param must be in range [-${e}, ${e}) but got axis ${r}`),E(r.every(n=>ea(n)),()=>`All values in axis param must be integers but got axis ${r}`),r.map(n=>n<0?e+n:n)}function Xv(r,t){let e=[],n=[],o=t!=null&&Array.isArray(t)&&t.length===0,s=t==null||o?null:ar(t,r).sort(),i=0;for(let a=0;aa)&&r[a]===1&&(e.push(r[a]),n.push(a)),s[i]<=a&&i++}r[a]!==1&&(e.push(r[a]),n.push(a))}return{newShape:e,keptDims:n}}function Yv(r,t){let e=null;if(r==null||r===\"float32\")e=new Float32Array(t);else if(r===\"int32\")e=new Int32Array(t);else if(r===\"bool\")e=new Uint8Array(t);else throw new Error(`Unknown data type ${r}`);return e}function Zv(r,t){let e=null;if(r==null||r===\"float32\")e=new Float32Array(t);else if(r===\"int32\")e=new Int32Array(t);else if(r===\"bool\")e=new Uint8Array(t);else if(r===\"string\")e=new Array(t);else throw new Error(`Unknown data type ${r}`);return e}function Jv(r,t){for(let e=0;et+=e.length),t}function Bo(r){return typeof r==\"string\"||r instanceof String}function e1(r){return typeof r==\"boolean\"}function r1(r){return typeof r==\"number\"}function op(r){return Array.isArray(r)?op(r[0]):r instanceof Float32Array?\"float32\":r instanceof Int32Array||r instanceof Uint8Array||r instanceof Uint8ClampedArray?\"int32\":r1(r)?\"float32\":Bo(r)?\"string\":e1(r)?\"bool\":\"float32\"}function ri(r){return!!(r&&r.constructor&&r.call&&r.apply)}function sp(r,t){for(let e=t;e=0;--n)e[n]=e[n+1]*r[n+1];return e}function n1(r,t,e,n=!1){let o=new Array;if(t.length===1){let s=t[0]*(n?2:1);for(let i=0;iu*l)*(n?2:1);for(let u=0;uo*s)*(e?2:1);if(n===0)return[];if(n!==t.length)throw new Error(`[${r}] does not match the input size ${t.length}${e?\" for a complex tensor\":\"\"}.`);return n1(0,r,t,e)}function zd(r,t){let e=ip(r,t);for(let n=0;nn*o,1);if(t==null||t===\"float32\")return Fu(r,new Float32Array(e));if(t===\"int32\")return Fu(r,new Int32Array(e));if(t===\"bool\")return Fu(r,new Uint8Array(e));throw new Error(`Unknown data type ${t}`)}function Bd(r){r.forEach(t=>{E(Number.isInteger(t)&&t>=0,()=>`Tensor must have a shape comprised of positive integers but got shape [${r}].`)})}function zU(r,t,e){if(t===0)return 0;if(t===1)return r[0];let n=r[r.length-1];for(let o=0;o{let[o,s]=n.split(\":\");this.urlFlags[o]=UU(o,s)})}};function GU(r){let t={};return r.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g,(e,...n)=>(WU(t,n[0],n[1]),n.join(\"=\"))),t}function WU(r,t,e){r[decodeURIComponent(t)]=decodeURIComponent(e||\"\")}function UU(r,t){if(t=t.toLowerCase(),t===\"true\"||t===\"false\")return t===\"true\";if(`${+t}`===t)return+t;throw new Error(`Could not parse value flag value ${t} for flag ${r}.`)}function M(){return eS}var eS=null;function s1(r){eS=r}var rS;function nS(){if(rS==null){let r;if(typeof window!=\"undefined\")r=window;else if(typeof global!=\"undefined\")r=global;else if(typeof process!=\"undefined\")r=process;else if(typeof self!=\"undefined\")r=self;else throw new Error(\"Could not find a global object\");rS=r}return rS}function HU(){let r=nS();return r._tfGlobals==null&&(r._tfGlobals=new Map),r._tfGlobals}function Wd(r,t){let e=HU();if(e.has(r))return e.get(r);{let n=t();return e.set(r,n),e.get(r)}}var oi=\"Abs\",ra=\"Acos\",na=\"Acosh\",Yn=\"Add\",Vo=\"AddN\",oa=\"All\",sa=\"Any\",Go=\"ArgMax\",Nl=\"ArgMin\",ia=\"Asin\",aa=\"Asinh\",la=\"Atan\",ua=\"Atanh\",ca=\"Atan2\",Wo=\"AvgPool\",ap=\"AvgPoolGrad\",kl=\"AvgPool3D\",lp=\"AvgPool3DGrad\",Uo=\"BatchMatMul\",si=\"BatchToSpaceND\",up=\"Bincount\",i1=\"BroadcastTo\",cp=\"BroadcastArgs\",io=\"Cast\",Ho=\"Ceil\",ao=\"ClipByValue\",pp=\"Complex\",Tl=\"ComplexAbs\",ii=\"Concat\",qo=\"Conv2D\",mp=\"Conv2DBackpropFilter\",Ko=\"Conv2DBackpropInput\",El=\"Conv3D\",fp=\"Conv3DBackpropFilterV2\",dp=\"Conv3DBackpropInputV2\",jo=\"Cos\",Xo=\"Cosh\",pa=\"Cumprod\",Yo=\"Cumsum\",ma=\"CropAndResize\",hp=\"DenseBincount\",fa=\"DepthToSpace\",Zo=\"DepthwiseConv2dNative\",gp=\"DepthwiseConv2dNativeBackpropFilter\",xp=\"DepthwiseConv2dNativeBackpropInput\",yp=\"Diag\",_l=\"Dilation2D\",Ud=\"Dilation2DBackpropInput\",Hd=\"Dilation2DBackpropFilter\",Jo=\"RealDiv\",bp=\"Einsum\",Qo=\"Elu\",wp=\"EluGrad\",da=\"Erf\",ha=\"Equal\",ts=\"Exp\",ai=\"ExpandDims\",ga=\"Expm1\",Cp=\"FFT\",Al=\"Fill\",xa=\"FlipLeftRight\",es=\"Floor\",rs=\"FloorDiv\",ns=\"FusedBatchNorm\",li=\"GatherV2\",ya=\"GatherNd\",ba=\"Greater\",os=\"GreaterEqual\",lo=\"Identity\",Ip=\"IFFT\",vp=\"Imag\",wa=\"IsFinite\",Ca=\"IsInf\",Ia=\"IsNan\",ss=\"LeakyRelu\",va=\"Less\",Sa=\"LessEqual\",Sp=\"LinSpace\",is=\"Log\",Na=\"Log1p\",ka=\"LogicalAnd\",Ta=\"LogicalNot\",Ea=\"LogicalOr\",a1=\"LogicalXor\",l1=\"LogSoftmax\",rlt=\"LowerBound\",$l=\"LRN\",Np=\"LRNGrad\",as=\"Max\",ls=\"Maximum\",us=\"MaxPool\",kp=\"MaxPoolGrad\",Dl=\"MaxPool3D\",Tp=\"MaxPool3DGrad\",Ep=\"MaxPoolWithArgmax\",cs=\"Mean\",ps=\"Min\",ms=\"Minimum\",fs=\"MirrorPad\",_a=\"Mod\",_p=\"Multinomial\",ds=\"Multiply\",ui=\"Neg\",Aa=\"NotEqual\",$a=\"NonMaxSuppressionV3\",Da=\"NonMaxSuppressionV4\",Ra=\"NonMaxSuppressionV5\",ci=\"OnesLike\",hs=\"OneHot\",pi=\"Pack\",gs=\"PadV2\",nlt=\"Pool\",xs=\"Pow\",ys=\"Prelu\",bs=\"Prod\",Ap=\"RaggedGather\",$p=\"RaggedTensorToTensor\",Rl=\"Range\",Dp=\"Real\",Fa=\"Reciprocal\",ws=\"Relu\",mi=\"Reshape\",Cs=\"ResizeNearestNeighbor\",Rp=\"ResizeNearestNeighborGrad\",Is=\"ResizeBilinear\",Fp=\"ResizeBilinearGrad\",vs=\"Relu6\",Ss=\"Reverse\",Ns=\"Round\",ks=\"Rsqrt\",Oa=\"ScatterNd\",Op=\"SearchSorted\",fi=\"Select\",Pa=\"Selu\",di=\"Slice\",Ts=\"Sin\",La=\"Sinh\",Ma=\"Sign\",Es=\"Sigmoid\",za=\"Softplus\",_s=\"Sqrt\",As=\"Sum\",hi=\"SpaceToBatchND\",gi=\"SplitV\",$s=\"Softmax\",Fl=\"SparseFillEmptyRows\",Ba=\"SparseReshape\",Ol=\"SparseSegmentMean\",Pl=\"SparseSegmentSum\",Pp=\"SparseToDense\",Ds=\"SquaredDifference\",Ll=\"Square\",Va=\"StridedSlice\",Ml=\"StringNGrams\",zl=\"StringSplit\",Bl=\"StringToHashBucketFast\",Rs=\"Sub\",Fs=\"Tan\",Os=\"Tanh\",Zn=\"Tile\",Ga=\"TopK\",Wa=\"Transform\",Jn=\"Transpose\",Lp=\"Unique\",xi=\"Unpack\",Vl=\"UnsortedSegmentSum\",olt=\"UpperBound\",yi=\"ZerosLike\",uo=\"Step\",qd=\"FromPixels\",Ua=\"RotateWithOffset\",bi=\"_FusedMatMul\",wi=\"FusedConv2D\",Ci=\"FusedDepthwiseConv2D\";function Ii(...r){M().getBool(\"IS_TEST\")||M().getBool(\"PROD\")||console.warn(...r)}function qU(...r){M().getBool(\"IS_TEST\")||M().getBool(\"PROD\")||console.log(...r)}var Mp=Wd(\"kernelRegistry\",()=>new Map),Kd=Wd(\"gradRegistry\",()=>new Map);function jd(r,t){let e=sS(r,t);return Mp.get(e)}function oS(r){return Kd.get(r)}function Fg(r){let t=Mp.entries(),e=[];for(;;){let{done:n,value:o}=t.next();if(n)break;let[s,i]=o,[a]=s.split(\"_\");a===r&&e.push(i)}return e}function Pu(r){let{kernelName:t,backendName:e}=r,n=sS(t,e);Mp.has(n)&&Ii(`The kernel '${t}' for backend '${e}' is already registered`),Mp.set(n,r)}function c1(r){let{kernelName:t}=r;Kd.has(t)&&M().getBool(\"DEBUG\")&&Ii(`Overriding the gradient for '${t}'`),Kd.set(t,r)}function ult(r,t){let e=sS(r,t);if(!Mp.has(e))throw new Error(`The kernel '${r}' for backend '${t}' is not registered`);Mp.delete(e)}function clt(r){if(!Kd.has(r))throw new Error(`The gradient '${r}' for backend is not registered`);Kd.delete(r)}function plt(r,t){Fg(r).forEach(n=>{let o=Object.assign({},n,{backendName:t});Pu(o)})}function sS(r,t){return`${t}_${r}`}var y={};Gt(y,{arraysEqual:()=>An,assert:()=>E,assertNonNegativeIntegerDimensions:()=>Bd,assertNonNull:()=>Xn,assertShapesMatch:()=>$e,bytesFromStringArray:()=>tS,bytesPerElement:()=>Rg,checkConversionForErrors:()=>Jv,clamp:()=>np,computeStrides:()=>ni,createScalarValue:()=>QU,createShuffledIndices:()=>FU,decodeString:()=>Gp,distSquared:()=>AU,encodeString:()=>Wl,fetch:()=>e4,fingerPrint64:()=>JU,flatten:()=>zo,getArrayFromDType:()=>Zv,getTypedArrayFromDType:()=>Yv,hasEncodingLoss:()=>LU,hexToLong:()=>Xd,indexToLoc:()=>BU,inferDtype:()=>op,inferFromImplicitShape:()=>PU,isBoolean:()=>e1,isFunction:()=>ri,isInt:()=>ea,isNumber:()=>r1,isPromise:()=>Vd,isScalarShape:()=>$U,isString:()=>Bo,isTypedArray:()=>hr,isValidDtype:()=>Qv,locToIndex:()=>zU,makeOnesTypedArray:()=>zd,makeZerosNestedTypedArray:()=>MU,makeZerosTypedArray:()=>ip,nearestDivisor:()=>sp,nearestLargerEven:()=>TU,now:()=>Vu,parseAxisParam:()=>ar,randUniform:()=>_U,repeatedTry:()=>OU,rightPad:()=>Ou,shuffle:()=>t1,shuffleCombo:()=>kU,sizeFromShape:()=>Zt,sizeToSquarishShape:()=>RU,squeezeShape:()=>Xv,sum:()=>EU,swap:()=>Dg,tanh:()=>DU,toNestedArray:()=>Fu,toTypedArray:()=>Vp});var uS=Sl(C1());var Bu=uS.default||uS;function Xd(r){return Bu.fromString(r,!0,16)}var v1=Xd(\"c3a5c85c97cb3127\"),zu=Xd(\"b492b66fbe98f273\"),nn=Xd(\"9ae16a3b2f90404f\");function lS(r){return r.xor(r.shru(47))}function S1(r,t,e){let n=r.slice(t,t+e);return Bu.fromBytes(Array.from(n),!0,!0)}function Oe(r,t){return S1(r,t,8)}function I1(r,t){return S1(r,t,4)}function kr(r,t){return t===0?r:r.shru(t).or(r.shl(64-t))}function Gl(r,t,e=Xd(\"9ddfea08eb382d69\")){let n=r.xor(t).mul(e);n=n.xor(n.shru(47));let o=t.xor(n).mul(e);return o=o.xor(o.shru(47)),o=o.mul(e),o}function jU(r,t,e,n,o,s){o=o.add(r),s=kr(s.add(o).add(n),21);let i=o;return o=o.add(t),o=o.add(e),s=s.add(kr(o,44)),[o.add(n),s.add(i)]}function Pg(r,t,e,n){return jU(Oe(r,t),Oe(r,t+8),Oe(r,t+16),Oe(r,t+24),e,n)}function XU(r,t=r.length){if(t>=8){let e=nn.add(t*2),n=Oe(r,0).add(nn),o=Oe(r,t-8),s=kr(o,37).mul(e).add(n),i=kr(n,25).add(o).mul(e);return Gl(s,i,e)}if(t>=4){let e=nn.add(t*2),n=I1(r,0);return Gl(n.shl(3).add(t),I1(r,t-4),e)}if(t>0){let e=r[0],n=r[t>>1],o=r[t-1],s=e+(n<<8),i=t+(o<<2);return lS(nn.mul(s).xor(v1.mul(i))).mul(nn)}return nn}function YU(r,t=r.length){let e=nn.add(t*2),n=Oe(r,0).mul(zu),o=Oe(r,8),s=Oe(r,t-8).mul(e),i=Oe(r,t-16).mul(nn);return Gl(kr(n.add(o),43).add(kr(s,30)).add(i),n.add(kr(o.add(nn),18)).add(s),e)}function ZU(r,t=r.length){let e=nn.add(t*2),n=Oe(r,0).mul(nn),o=Oe(r,8),s=Oe(r,t-8).mul(e),i=Oe(r,t-16).mul(nn),a=kr(n.add(o),43).add(kr(s,30)).add(i),u=Gl(a,n.add(kr(o.add(nn),18)).add(s),e),l=Oe(r,16).mul(e),c=Oe(r,24),p=a.add(Oe(r,t-32)).mul(e),m=u.add(Oe(r,t-24)).mul(e);return Gl(kr(l.add(c),43).add(kr(p,30)).add(m),l.add(kr(c.add(n),18)).add(p),e)}function JU(r,t=r.length){let e=Bu.fromNumber(81,!0);if(t<=32)return t<=16?XU(r,t):YU(r,t);if(t<=64)return ZU(r,t);let n=e,o=e.mul(zu).add(113),s=lS(o.mul(nn).add(113)).mul(nn),i=[Bu.UZERO,Bu.UZERO],a=[Bu.UZERO,Bu.UZERO];n=n.mul(nn).add(Oe(r,0));let u=0,l=(t-1>>6)*64,c=l+(t-1&63)-63;do n=kr(n.add(o).add(i[0]).add(Oe(r,u+8)),37).mul(zu),o=kr(o.add(i[1]).add(Oe(r,u+48)),42).mul(zu),n=n.xor(a[1]),o=o.add(i[0]).add(Oe(r,u+40)),s=kr(s.add(a[0]),33).mul(zu),i=Pg(r,u,i[1].mul(zu),n.add(a[0])),a=Pg(r,u+32,s.add(a[1]),o.add(Oe(r,u+16))),[s,n]=[n,s],u+=64;while(u!==l);let p=zu.add(s.and(255).shl(1));return u=c,a[0]=a[0].add(t-1&63),i[0]=i[0].add(a[0]),a[0]=a[0].add(i[0]),n=kr(n.add(o).add(i[0]).add(Oe(r,u+8)),37).mul(p),o=kr(o.add(i[1]).add(Oe(r,u+48)),42).mul(p),n=n.xor(a[1].mul(9)),o=o.add(i[0].mul(9).add(Oe(r,u+40))),s=kr(s.add(a[0]),33).mul(p),i=Pg(r,u,i[1].mul(p),n.add(a[0])),a=Pg(r,u+32,s.add(a[1]),o.add(Oe(r,u+16))),[s,n]=[n,s],Gl(Gl(i[0],a[0],p).add(lS(o).mul(v1)).add(s),Gl(i[1],a[1],p).add(n),p)}function QU(r,t){return t===\"string\"?Wl(r):Vp([r],t)}function t4(r,t){return r instanceof Float32Array&&t===\"float32\"||r instanceof Int32Array&&t===\"int32\"||r instanceof Uint8Array&&t===\"bool\"}function Vp(r,t){if(t===\"string\")throw new Error(\"Cannot convert a string[] to a TypedArray\");if(Array.isArray(r)&&(r=zo(r)),M().getBool(\"DEBUG\")&&Jv(r,t),t4(r,t))return r;if(t==null||t===\"float32\"||t===\"complex64\")return new Float32Array(r);if(t===\"int32\")return new Int32Array(r);if(t===\"bool\"){let e=new Uint8Array(r.length);for(let n=0;n{o=n()},i,a=Vu();if(this.backendTimer.timerAvailable())i=this.backendTimer.time(s);else{s();for(let l of o)l.dataSync();i=Promise.resolve({kernelMs:Vu()-a})}if(M().getBool(\"CHECK_COMPUTATION_FOR_ERRORS\"))for(let l=0;l{r4(p,c.dtype,t)})}return{kernelName:t,outputs:o,inputs:e,timeMs:i.then(l=>l.kernelMs),extraInfo:i.then(l=>l.getExtraProfileInfo!=null?l.getExtraProfileInfo():\"\")}}logKernelProfile(t){let{kernelName:e,outputs:n,timeMs:o,inputs:s,extraInfo:i}=t;n.forEach(a=>{Promise.all([a.data(),o,i]).then(u=>{this.logger.logKernelProfile(e,a,u[0],u[1],s,u[2])})})}};function r4(r,t,e){if(t!==\"float32\")return!1;for(let n=0;n0?h:\"\"} `}}console.log(`%c${u}\t%c${a}\t%c${l}D ${p}\t%c${c}\t%c${m}\t%c${i}`,\"font-weight:bold\",\"color:red\",\"color:blue\",\"color: orange\",\"color: green\",\"color: steelblue\")}};function N1(r,t,e){let n={},o={};for(let u=0;un[h.id]=!0),f=!0,o[l.id]=!0;break}if(f)break}}let s={};s[e.id]=!0;let i={};for(let u=r.length-1;u>=0;u--){let l=r[u],c=l.inputs;for(let p=0;p=0;o--){let s=t[o],i=[];if(s.outputs.forEach(u=>{let l=r[u.id];l!=null?i.push(l):i.push(null)}),s.gradient==null)throw new Error(`Cannot compute gradient: gradient function not found for ${s.kernelName}.`);let a=s.gradient(i);for(let u in s.inputs){if(!(u in a))throw new Error(`Cannot backprop through input ${u}. Available gradients found: ${Object.keys(a)}.`);let l=e(()=>a[u]());if(l.dtype!==\"float32\")throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input ${u} must have 'float32' dtype, but has '${l.dtype}'`);let c=s.inputs[u];if(!An(l.shape,c.shape))throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input '${u}' has shape '${l.shape}', which does not match the shape of the input '${c.shape}'`);if(r[c.id]==null)r[c.id]=l;else{let p=r[c.id];r[c.id]=n(p,l),p.dispose()}}}}var T1=20,Yd=3,pS=7;function E1(r,t,e,n){let o=ni(t),s=n4(r,t,e,o),i=t.length,a=Mg(r,t,e,o,s),u=[\"Tensor\"];return n&&(u.push(` dtype: ${e}`),u.push(` rank: ${i}`),u.push(` shape: [${t}]`),u.push(\" values:\")),u.push(a.map(l=>\" \"+l).join(`\n`)),u.join(`\n`)}function n4(r,t,e,n){let o=Zt(t),s=n[n.length-1],i=new Array(s).fill(0),a=t.length,u=e===\"complex64\"?Jd(r):r;if(a>1)for(let l=0;lT1){let g=Yd*i,x=Array.from(r.slice(0,g)),b=Array.from(r.slice((a-Yd)*i,a*i));return e===\"complex64\"&&(x=Jd(x),b=Jd(b)),[\"[\"+x.map((w,C)=>Zd(w,o[C],e)).join(\", \")+\", ..., \"+b.map((w,C)=>Zd(w,o[a-Yd+C],e)).join(\", \")+\"]\"]}let h=e===\"complex64\"?Jd(r):Array.from(r);return[\"[\"+h.map((g,x)=>Zd(g,o[x],e)).join(\", \")+\"]\"]}let l=t.slice(1),c=n.slice(1),p=n[0]*i,m=[];if(a>T1){for(let h=0;h`Length of values '${o}' does not match the size inferred by the shape '${this.size}'.`)}if(e===\"complex64\")throw new Error(\"complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).\");this.values=n||Zv(e,this.size),this.strides=ni(t)}set(t,...e){e.length===0&&(e=[0]),E(e.length===this.rank,()=>`The number of provided coordinates (${e.length}) must match the rank (${this.rank})`);let n=this.locToIndex(e);this.values[n]=t}get(...t){t.length===0&&(t=[0]);let e=0;for(let o of t){if(o<0||o>=this.shape[e]){let s=`Requested out of range element at ${t}. Buffer shape=${this.shape}`;throw new Error(s)}e++}let n=t[t.length-1];for(let o=0;oGp(n))}catch(n){throw new Error(\"Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().\")}}return t}dataToGPU(t){return this.throwIfDisposed(),Ls().readToGPU(this.dataId,t)}dataSync(){this.throwIfDisposed();let t=Ls().readSync(this.dataId);if(this.dtype===\"string\")try{return t.map(e=>Gp(e))}catch(e){throw new Error(\"Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().\")}return t}async bytes(){this.throwIfDisposed();let t=await Ls().read(this.dataId);return this.dtype===\"string\"?t:new Uint8Array(t.buffer)}dispose(){this.isDisposed||(Ls().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error(\"Tensor is disposed.\")}print(t=!1){return Wp.print(this,t)}clone(){return this.throwIfDisposed(),Wp.clone(this)}toString(t=!1){let e=this.dataSync();return E1(e,this.shape,this.dtype,t)}cast(t){return this.throwIfDisposed(),Wp.cast(this,t)}variable(t=!0,e,n){return this.throwIfDisposed(),Ls().makeVariable(this,t,e,n)}};Object.defineProperty(Ft,Symbol.hasInstance,{value:r=>!!r&&r.data!=null&&r.dataSync!=null&&r.throwIfDisposed!=null});function O(){return Wd(\"Tensor\",()=>Ft)}O();var Ha=class extends Ft{constructor(t,e,n,o){super(t.shape,t.dtype,t.dataId,o),this.trainable=e,this.name=n}assign(t){if(t.dtype!==this.dtype)throw new Error(`dtype of the new value (${t.dtype}) and previous value (${this.dtype}) must match`);if(!An(t.shape,this.shape))throw new Error(`shape of the new value (${t.shape}) and previous value (${this.shape}) must match`);Ls().disposeTensor(this),this.dataId=t.dataId,Ls().incRef(this,null)}dispose(){Ls().disposeVariable(this),this.isDisposedInternal=!0}};Object.defineProperty(Ha,Symbol.hasInstance,{value:r=>r instanceof Ft&&r.assign!=null&&r.assign instanceof Function});var fo={};Gt(fo,{assertTypesMatch:()=>xS,getTensorsInContainer:()=>Qd,isTensorInList:()=>i4,makeTypesMatch:()=>Wt});var mS;(function(r){r.R0=\"R0\",r.R1=\"R1\",r.R2=\"R2\",r.R3=\"R3\",r.R4=\"R4\",r.R5=\"R5\",r.R6=\"R6\"})(mS||(mS={}));var fS;(function(r){r.float32=\"float32\",r.int32=\"int32\",r.bool=\"int32\",r.complex64=\"complex64\"})(fS||(fS={}));var dS;(function(r){r.float32=\"float32\",r.int32=\"int32\",r.bool=\"bool\",r.complex64=\"complex64\"})(dS||(dS={}));var hS;(function(r){r.float32=\"float32\",r.int32=\"float32\",r.bool=\"float32\",r.complex64=\"complex64\"})(hS||(hS={}));var gS;(function(r){r.float32=\"complex64\",r.int32=\"complex64\",r.bool=\"complex64\",r.complex64=\"complex64\"})(gS||(gS={}));var s4={float32:hS,int32:fS,bool:dS,complex64:gS};function or(r,t){if(r===\"string\"||t===\"string\"){if(r===\"string\"&&t===\"string\")return\"string\";throw new Error(`Can not upcast ${r} with ${t}`)}return s4[r][t]}function Gu(r){return or(r,\"int32\")}function Wt(r,t){if(r.dtype===t.dtype)return[r,t];let e=or(r.dtype,t.dtype);return[r.cast(e),t.cast(e)]}function xS(r,t){E(r.dtype===t.dtype,()=>`The dtypes of the first(${r.dtype}) and second(${t.dtype}) input must match`)}function i4(r,t){return t.some(e=>e.id===r.id)}function Qd(r){let t=[];return R1(r,t,new Set),t}function R1(r,t,e){if(r==null)return;if(r instanceof Ft){t.push(r);return}if(!a4(r))return;let n=r;for(let o in n){let s=n[o];e.has(s)||(e.add(s),R1(s,t,e))}}function a4(r){return Array.isArray(r)||typeof r==\"object\"}function yS(r){return r.kernelName!=null}var zg=class{constructor(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null,get kernelNames(){return Array.from(new Set(this.kernels.map(t=>t.name)))}}}dispose(){for(let t in this.registeredVariables)this.registeredVariables[t].dispose()}},Ul=class{constructor(t){this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new zg}async ready(){if(this.pendingBackendInit!=null)return this.pendingBackendInit.then(()=>{});if(this.backendInstance!=null)return;let t=this.getSortedBackends();for(let e=0;e{e.setupFunc!=null&&e.setupFunc(this.backendInstance)})}disposeRegisteredKernels(t){Fg(t).forEach(n=>{n.disposeFunc!=null&&n.disposeFunc(this.registry[t])})}initializeBackend(t){let e=this.registryFactory[t];if(e==null)throw new Error(`Cannot initialize backend ${t}, no registration found.`);try{let n=e.factory();if(n&&!(n instanceof Mo)&&typeof n.then==\"function\"){let o=++this.pendingBackendInitId,s=n.then(i=>o(othis.registryFactory[e].priority-this.registryFactory[t].priority)}initializeBackendsAndReturnBest(){let t=this.getSortedBackends();for(let e=0;ethis.startScope(n),()=>this.endScope(o),()=>(o=e(),o instanceof Promise&&console.error(\"Cannot return a Promise inside of tidy.\"),o))}scopedRun(t,e,n){t();try{let o=n();return e(),o}catch(o){throw e(),o}}nextTensorId(){return Ul.nextTensorId++}nextVariableId(){return Ul.nextVariableId++}clone(t){let e=T.runKernel(lo,{x:t}),n={x:t},o=i=>({x:()=>{let a=\"float32\",u={x:i},l={dtype:a};return T.runKernel(io,u,l)}}),s=[];return this.addTapeNode(this.state.activeScope.name,n,[e],o,s,{}),e}runKernel(t,e,n){if(this.backendName==null&&this.backend,!(jd(t,this.backendName)!=null))throw new Error(`Kernel '${t}' not registered for backend '${this.backendName}'`);return this.runKernelFunc({kernelName:t,inputs:e,attrs:n})}shouldCheckForMemLeaks(){return this.ENV.getBool(\"IS_TEST\")}checkKernelForMemLeak(t,e,n){let o=this.backend.numDataIds(),s=0;n.forEach(u=>{s+=u.dtype===\"complex64\"?3:1});let i=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],a=o-e-s-i;if(a>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${a} data ids) after running '${t}'`)}runKernelFunc(t){let e,n=[],o=this.isTapeOn(),s=this.state.numBytes,i=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);let a;this.backendName==null&&this.backend;let u,l=yS(t)?t.kernelName:this.state.activeScope!=null?this.state.activeScope.name:\"\";if(yS(t)){let{kernelName:d,inputs:h,attrs:g}=t;this.backendName==null&&this.backend;let x=jd(d,this.backendName);E(x!=null,()=>`Cannot find registered kernel '${d}' for backend '${this.backendName}'`),a=()=>{let b=this.backend.numDataIds();u=x.kernelFunc({inputs:h,attrs:g,backend:this.backend});let w=Array.isArray(u)?u:[u];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(d,b,w);let C=w.map(N=>N.rank!=null?N:this.makeTensorFromTensorInfo(N));if(o){let N=this.getTensorsForGradient(d,h,C);n=this.saveTensorsForBackwardMode(N)}return C}}else{let{forwardFunc:d}=t,h=g=>{!o||(n=g.map(x=>this.keep(this.clone(x))))};a=()=>{let g=this.backend.numDataIds();u=this.tidy(()=>d(this.backend,h));let x=Array.isArray(u)?u:[u];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(l,g,x),x}}let{inputs:c,attrs:p}=t,m=yS(t)?null:t.backwardsFunc,f;return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{!this.ENV.getBool(\"DEBUG\")&&!this.state.profiling?e=a():(f=this.profiler.profileKernel(l,c,()=>a()),this.ENV.getBool(\"DEBUG\")&&this.profiler.logKernelProfile(f),e=f.outputs)}),o&&this.addTapeNode(l,c,e,m,n,p),this.state.profiling&&this.state.activeProfile.kernels.push({name:l,bytesAdded:this.state.numBytes-s,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-i,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(c).map(d=>c[d]!=null?c[d].shape:null),outputShapes:e.map(d=>d.shape),kernelTimeMs:f.timeMs,extraInfo:f.extraInfo}),Array.isArray(u)?e:e[0]}saveTensorsForBackwardMode(t){return t.map(n=>this.keep(this.clone(n)))}getTensorsForGradient(t,e,n){let o=oS(t);if(o!=null){let s=o.inputsToSave||[],i=o.outputsToSave||[],a;o.saveAllInputs?(E(Array.isArray(e),()=>\"saveAllInputs is true, expected inputs to be an array.\"),a=Object.keys(e).map(l=>e[l])):a=s.map(l=>e[l]);let u=n.filter((l,c)=>i[c]);return a.concat(u)}return[]}makeTensor(t,e,n,o){if(t==null)throw new Error(\"Values passed to engine.makeTensor() are null\");n=n||\"float32\",o=o||this.backend;let s=t;n===\"string\"&&Bo(t[0])&&(s=t.map(u=>Wl(u)));let i=o.write(s,e,n),a=new Ft(e,n,i,this.nextTensorId());if(this.trackTensor(a,o),n===\"string\"){let u=this.state.tensorInfo.get(i),l=tS(s);this.state.numBytes+=l-u.bytes,u.bytes=l}return a}makeTensorFromDataId(t,e,n,o){n=n||\"float32\";let s={dataId:t,shape:e,dtype:n};return this.makeTensorFromTensorInfo(s,o)}makeTensorFromTensorInfo(t,e){let{dataId:n,shape:o,dtype:s}=t,i=new Ft(o,s,n,this.nextTensorId());return this.trackTensor(i,e),i}makeVariable(t,e=!0,n,o){n=n||this.nextVariableId().toString(),o!=null&&o!==t.dtype&&(t=t.cast(o));let s=new Ha(t,e,n,this.nextTensorId());if(this.state.registeredVariables[s.name]!=null)throw new Error(`Variable with name ${s.name} was already registered`);return this.state.registeredVariables[s.name]=s,this.incRef(s,this.backend),s}trackTensor(t,e){this.state.numTensors++,t.dtype===\"string\"&&this.state.numStringTensors++;let n=0;t.dtype!==\"complex64\"&&t.dtype!==\"string\"&&(n=t.size*Rg(t.dtype)),this.state.numBytes+=n,this.state.tensorInfo.has(t.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(t.dataId,{backend:e||this.backend,dtype:t.dtype,shape:t.shape,bytes:n})),t instanceof Ha||this.track(t)}incRef(t,e){this.trackTensor(t,e),this.backend.incRef(t.dataId)}removeDataId(t,e){this.state.tensorInfo.has(t)&&this.state.tensorInfo.get(t).backend===e&&(this.state.tensorInfo.delete(t),this.state.numDataBuffers--)}disposeTensor(t){if(!this.state.tensorInfo.has(t.dataId))return;let e=this.state.tensorInfo.get(t.dataId);if(this.state.numTensors--,t.dtype===\"string\"&&(this.state.numStringTensors--,this.state.numBytes-=e.bytes),t.dtype!==\"complex64\"&&t.dtype!==\"string\"){let n=t.size*Rg(t.dtype);this.state.numBytes-=n}e.backend.disposeData(t.dataId)&&this.removeDataId(t.dataId,e.backend)}disposeVariables(){for(let t in this.state.registeredVariables){let e=this.state.registeredVariables[t];this.disposeVariable(e)}}disposeVariable(t){this.disposeTensor(t),this.state.registeredVariables[t.name]!=null&&delete this.state.registeredVariables[t.name]}memory(){let t=this.backend.memory();return t.numTensors=this.state.numTensors,t.numDataBuffers=this.state.numDataBuffers,t.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(t.unreliable=!0,t.reasons==null&&(t.reasons=[]),t.reasons.push(\"Memory usage by string tensors is approximate (2 bytes per character)\")),t}async profile(t){this.state.profiling=!0;let e=this.state.numBytes,n=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await t(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map(o=>o.totalBytesSnapshot)),this.state.activeProfile.newBytes=this.state.numBytes-e,this.state.activeProfile.newTensors=this.state.numTensors-n;for(let o of this.state.activeProfile.kernels)o.kernelTimeMs=await o.kernelTimeMs,o.extraInfo=await o.extraInfo;return this.state.activeProfile}isTapeOn(){return this.state.gradientDepth>0&&this.state.kernelDepth===0}addTapeNode(t,e,n,o,s,i){let a={id:this.state.nextTapeNodeId++,kernelName:t,inputs:e,outputs:n,saved:s},u=oS(t);u!=null&&(o=u.gradFunc),o!=null&&(a.gradient=l=>(l=l.map((c,p)=>{if(c==null){let m=n[p],f=ip(m.size,m.dtype);return this.makeTensor(f,m.shape,m.dtype)}return c}),o(l.length>1?l:l[0],s,i))),this.state.activeTape.push(a)}keep(t){return t.kept=!0,t}startTape(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++}endTape(){this.state.gradientDepth--}startScope(t){let e={track:[],name:\"unnamed scope\",id:this.state.nextScopeId++};t&&(e.name=t),this.state.scopeStack.push(e),this.state.activeScope=e}endScope(t){let e=Qd(t),n=new Set(e.map(s=>s.id));for(let s=0;s{!s.kept&&s.scopeId===o.id&&this.track(s)})}gradients(t,e,n,o=!1){if(E(e.length>0,()=>\"gradients() received an empty list of xs.\"),n!=null&&n.dtype!==\"float32\")throw new Error(`dy must have 'float32' dtype, but has '${n.dtype}'`);let s=this.scopedRun(()=>this.startTape(),()=>this.endTape(),()=>this.tidy(\"forward\",t));E(s instanceof Ft,()=>\"The result y returned by f() must be a tensor.\");let i=N1(this.state.activeTape,e,s);if(!o&&i.length===0&&e.length>0)throw new Error(\"Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.\");return this.tidy(\"backward\",()=>{let a={};a[s.id]=n==null?l4(s.shape):n,k1(a,i,l=>this.tidy(l),u4);let u=e.map(l=>a[l.id]);return this.state.gradientDepth===0&&(this.state.activeTape.forEach(l=>{for(let c of l.saved)c.dispose()}),this.state.activeTape=null),{value:s,grads:u}})}customGrad(t){return E(ri(t),()=>\"The f passed in customGrad(f) must be a function.\"),(...e)=>{E(e.every(a=>a instanceof Ft),()=>\"The args passed in customGrad(f)(x1, x2,...) must all be tensors\");let n,o={};e.forEach((a,u)=>{o[u]=a});let s=(a,u)=>(n=t(...e,u),E(n.value instanceof Ft,()=>\"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor\"),E(ri(n.gradFunc),()=>\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function.\"),n.value),i=(a,u)=>{let l=n.gradFunc(a,u),c=Array.isArray(l)?l:[l];E(c.length===e.length,()=>\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...).\"),E(c.every(m=>m instanceof Ft),()=>\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.\");let p={};return c.forEach((m,f)=>{p[f]=()=>m}),p};return this.runKernelFunc({forwardFunc:s,backwardsFunc:i,inputs:o})}}readSync(t){return this.state.tensorInfo.get(t).backend.readSync(t)}read(t){return this.state.tensorInfo.get(t).backend.read(t)}readToGPU(t,e){return this.state.tensorInfo.get(t).backend.readToGPU(t,e)}async time(t){let e=Vu(),n=await this.backend.time(t);return n.wallMs=Vu()-e,n}track(t){return this.state.activeScope!=null&&(t.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(t)),t}get registeredVariables(){return this.state.registeredVariables}reset(){this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new zg;for(let t in this.registry)this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null}};Ul.nextTensorId=0;Ul.nextVariableId=0;function l4(r){let t=zd(Zt(r),\"float32\");return T.makeTensor(t,r,\"float32\")}function bS(){let r=nS();if(r._tfengine==null){let t=new Gd(r);r._tfengine=new Ul(t)}return s1(r._tfengine.ENV),A1(()=>r._tfengine),r._tfengine}var T=bS();function u4(r,t){let e={a:r,b:t};return T.runKernel(Yn,e)}var Hl={};Gt(Hl,{isBrowser:()=>CS,isMobile:()=>m4,mockIsMobile:()=>p4});function c4(){return typeof navigator!=\"undefined\"&&navigator!=null}var wS;function p4(r){wS=r}function m4(r){if(wS!==void 0)return wS;if(r||c4()){if(r||(r=navigator),r.product===\"ReactNative\")return!0;let t=r.userAgent||r.vendor||(typeof window!=\"undefined\"?window.opera:\"\");if(!t){let e=r;return e.userAgentData&&e.userAgentData.mobile}return/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i.test(t)||/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\\-(n|u)|c55\\/|capi|ccwa|cdm\\-|cell|chtm|cldc|cmd\\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\\-s|devi|dica|dmob|do(c|p)o|ds(12|\\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\\-|_)|g1 u|g560|gene|gf\\-5|g\\-mo|go(\\.w|od)|gr(ad|un)|haie|hcit|hd\\-(m|p|t)|hei\\-|hi(pt|ta)|hp( i|ip)|hs\\-c|ht(c(\\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\\-(20|go|ma)|i230|iac( |\\-|\\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\\/)|klon|kpt |kwc\\-|kyo(c|k)|le(no|xi)|lg( g|\\/(k|l|u)|50|54|\\-[a-w])|libw|lynx|m1\\-w|m3ga|m50\\/|ma(te|ui|xo)|mc(01|21|ca)|m\\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\\-2|po(ck|rt|se)|prox|psio|pt\\-g|qa\\-a|qc(07|12|21|32|60|\\-[2-7]|i\\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\\-|oo|p\\-)|sdk\\/|se(c(\\-|0|1)|47|mc|nd|ri)|sgh\\-|shar|sie(\\-|m)|sk\\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\\-|v\\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\\-|tdg\\-|tel(i|m)|tim\\-|t\\-mo|to(pl|sh)|ts(70|m\\-|m3|m5)|tx\\-9|up(\\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\\-|your|zeto|zte\\-/i.test(t.substr(0,4))}return!1}function CS(){return typeof window!=\"undefined\"&&window.document!=null||typeof WorkerGlobalScope!=\"undefined\"}var Rn=M();Rn.registerFlag(\"DEBUG\",()=>!1,r=>{r&&console.warn(\"Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.\")});Rn.registerFlag(\"IS_BROWSER\",()=>CS());Rn.registerFlag(\"IS_NODE\",()=>typeof process!=\"undefined\"&&typeof process.versions!=\"undefined\"&&typeof process.versions.node!=\"undefined\");Rn.registerFlag(\"IS_CHROME\",()=>typeof navigator!=\"undefined\"&&navigator!=null&&navigator.userAgent!=null&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor));Rn.registerFlag(\"PROD\",()=>!1);Rn.registerFlag(\"TENSORLIKE_CHECK_SHAPE_CONSISTENCY\",()=>Rn.getBool(\"DEBUG\"));Rn.registerFlag(\"DEPRECATION_WARNINGS_ENABLED\",()=>!0);Rn.registerFlag(\"IS_TEST\",()=>!1);Rn.registerFlag(\"CHECK_COMPUTATION_FOR_ERRORS\",()=>!0);Rn.registerFlag(\"WRAP_TO_IMAGEBITMAP\",()=>!1);Rn.registerFlag(\"ENGINE_COMPILE_ONLY\",()=>!1);Rn.registerFlag(\"CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU\",()=>!1);Rn.registerFlag(\"USE_SETTIMEOUTCUSTOM\",()=>!1);function Mr(r,t){let e=r;if(hr(r))return t===\"string\"?[]:[r.length];if(!Array.isArray(r))return[];let n=[];for(;Array.isArray(e)||hr(e)&&t!==\"string\";)n.push(e.length),e=e[0];return Array.isArray(r)&&M().getBool(\"TENSORLIKE_CHECK_SHAPE_CONSISTENCY\")&&O1(r,n,[]),n}function O1(r,t,e){if(e=e||[],!Array.isArray(r)&&!hr(r)){E(t.length===0,()=>`Element arr[${e.join(\"][\")}] is a primitive, but should be an array/TypedArray of ${t[0]} elements`);return}E(t.length>0,()=>`Element arr[${e.join(\"][\")}] should be a primitive, but is an array of ${r.length} elements`),E(r.length===t[0],()=>`Element arr[${e.join(\"][\")}] should have ${t[0]} elements, but has ${r.length} elements`);let n=t.slice(1);for(let o=0;o=0&&(o=n),F1(n,o,t,e),r==null||!hr(r)&&!Array.isArray(r)&&typeof r!=\"number\"&&typeof r!=\"boolean\"&&typeof r!=\"string\"){let u=r==null?\"null\":r.constructor.name;throw new Error(`Argument '${t}' passed to '${e}' must be a Tensor or TensorLike, but got '${u}'`)}let s=Mr(r,o);!hr(r)&&!Array.isArray(r)&&(r=[r]);let a=o!==\"string\"?Vp(r,o):zo(r,[],!0);return T.makeTensor(a,s,o)}function qa(r,t,e,n=\"numeric\"){if(!Array.isArray(r))throw new Error(`Argument ${t} passed to ${e} must be a \\`Tensor[]\\` or \\`TensorLike[]\\``);return r.map((s,i)=>I(s,`${t}[${i}]`,e,n))}var IS=\"__op\";function k(r){let t=Object.keys(r);if(t.length!==1)throw new Error(`Please provide an object with a single key (operation name) mapping to a function. Got an object with ${t.length} keys.`);let e=t[0],n=r[e];e.endsWith(\"_\")&&(e=e.substring(0,e.length-1)),e=e+IS;let o=(...s)=>{T.startScope(e);try{let i=n(...s);return Vd(i)&&console.error(\"Cannot return a Promise inside of tidy.\"),T.endScope(i),i}catch(i){throw T.endScope(null),i}};return Object.defineProperty(o,\"name\",{value:e,configurable:!0}),o}function f4(r,t){let e=I(r,\"real\",\"complex\"),n=I(t,\"imag\",\"complex\");$e(e.shape,n.shape,`real and imag shapes, ${e.shape} and ${n.shape}, must match in call to tf.complex().`);let o={real:e,imag:n};return T.runKernel(pp,o)}var bn=k({complex_:f4});function on(r,t,e,n){if(n==null&&(n=op(r)),n===\"complex64\")throw new Error(\"Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).\");if(!hr(r)&&!Array.isArray(r)&&typeof r!=\"number\"&&typeof r!=\"boolean\"&&typeof r!=\"string\")throw new Error(\"values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray\");if(t!=null){Bd(t);let o=Zt(t),s=Zt(e);E(o===s,()=>`Based on the provided shape, [${t}], the tensor should have ${o} values but has ${s}`);for(let i=0;i`Error creating a new Tensor. Inferred shape (${e}) does not match the provided shape (${t}). `)}}return!hr(r)&&!Array.isArray(r)&&(r=[r]),t=t||e,r=n!==\"string\"?Vp(r,n):zo(r,[],!0),T.makeTensor(r,t,n)}function wr(r,t,e){let n=Mr(r,e);return on(r,t,n,e)}var th={float32:4,float16:2,int32:4,uint16:2,uint8:1,bool:1,complex64:8};var Bg=4;async function L1(r,t){let e=[],n=[],o=Array.isArray(r)?r.map(i=>i.name):Object.keys(r);for(let i=0;i{let m=await u.bytes(),f=m.reduce((g,x)=>g+x.length,0)+Bg*m.length,d=new Uint8Array(f),h=0;for(let g=0;g{if(t+=s.byteLength,e.push(s.byteLength===s.buffer.byteLength?s:new s.constructor(s)),!(s instanceof Float32Array||s instanceof Int32Array||s instanceof Uint8Array))throw new Error(`Unsupported TypedArray subtype: ${s.constructor.name}`)});let n=new Uint8Array(t),o=0;return e.forEach(s=>{n.set(new Uint8Array(s.buffer),o),o+=s.byteLength}),n.buffer}var vS=typeof Buffer!=\"undefined\"&&(typeof Blob==\"undefined\"||typeof atob==\"undefined\"||typeof btoa==\"undefined\");function P1(r){return vS?Buffer.byteLength(r):new Blob([r]).size}function M1(r){if(vS)return Buffer.from(r).toString(\"base64\");let t=new Uint8Array(r),e=\"\";for(let n=0,o=t.length;n{t+=o.byteLength});let e=new Uint8Array(t),n=0;return r.forEach(o=>{e.set(new Uint8Array(o),n),n+=o.byteLength}),e.buffer}function SS(r){let t=\"/\";for(r=r.trim();r.endsWith(t);)r=r.slice(0,r.length-1);let e=r.split(t);return e[e.length-1]}function Gg(r,t){let e={modelTopology:r.modelTopology,format:r.format,generatedBy:r.generatedBy,convertedBy:r.convertedBy,weightsManifest:t};return r.signature!=null&&(e.signature=r.signature),r.userDefinedMetadata!=null&&(e.userDefinedMetadata=r.userDefinedMetadata),r.modelInitializer!=null&&(e.modelInitializer=r.modelInitializer),r.trainingConfig!=null&&(e.trainingConfig=r.trainingConfig),e}function NS(r,t,e){let n={modelTopology:r.modelTopology,format:r.format,generatedBy:r.generatedBy,convertedBy:r.convertedBy};if(r.trainingConfig!=null&&(n.trainingConfig=r.trainingConfig),r.weightsManifest!=null){if(!t)throw new Error(\"modelJSON has weightsManifest but weightSpecs is null\");if(!e)throw new Error(\"modelJSON has weightsManifest but weightData is null\");n.weightSpecs=t,n.weightData=e}return r.signature!=null&&(n.signature=r.signature),r.userDefinedMetadata!=null&&(n.userDefinedMetadata=r.userDefinedMetadata),r.modelInitializer!=null&&(n.modelInitializer=r.modelInitializer),n}async function Hp(r,t){let e,n;return r.weightsManifest!=null&&([e,n]=await t(r.weightsManifest)),NS(r,e,n)}function vi(r){if(r.modelTopology instanceof ArrayBuffer)throw new Error(\"Expected JSON model topology, received ArrayBuffer.\");return{dateSaved:new Date,modelTopologyType:\"JSON\",modelTopologyBytes:r.modelTopology==null?0:P1(JSON.stringify(r.modelTopology)),weightSpecsBytes:r.weightSpecs==null?0:P1(JSON.stringify(r.weightSpecs)),weightDataBytes:r.weightData==null?0:r.weightData.byteLength}}function Wg(r){let t=[];for(let e of r)t.push(...e.weights);return t}function h4(){let r=e=>{let n=e<<13,o=0;for(;(n&8388608)===0;)o-=8388608,n<<=1;return n&=-8388609,o+=947912704,n|o},t=new Uint32Array(2048);t[0]=0;for(let e=1;e<1024;e++)t[e]=r(e);for(let e=1024;e<2048;e++)t[e]=939524096+(e-1024<<13);return t}function g4(){let r=new Uint32Array(64);r[0]=0,r[31]=1199570944,r[32]=2147483648,r[63]=3347054592;for(let t=1;t<31;t++)r[t]=t<<23;for(let t=33;t<63;t++)r[t]=2147483648+(t-32<<23);return r}function x4(){let r=new Uint32Array(64);for(let t=0;t<64;t++)r[t]=1024;return r[0]=r[32]=0,r}function y4(){let r=h4(),t=g4(),e=x4();return n=>{let o=new ArrayBuffer(4*n.length),s=new Uint32Array(o);for(let i=0;i>10]+(a&1023)]+t[a>>10];s[i]=u}return new Float32Array(o)}}var Ce=class{constructor(){this.saveRouters=[],this.loadRouters=[]}static getInstance(){return Ce.instance==null&&(Ce.instance=new Ce),Ce.instance}static registerSaveRouter(t){Ce.getInstance().saveRouters.push(t)}static registerLoadRouter(t){Ce.getInstance().loadRouters.push(t)}static getSaveHandlers(t){return Ce.getHandlers(t,\"save\")}static getLoadHandlers(t,e){return Ce.getHandlers(t,\"load\",e)}static getHandlers(t,e,n){let o=[];return(e===\"load\"?Ce.getInstance().loadRouters:Ce.getInstance().saveRouters).forEach(i=>{let a=i(t,n);a!==null&&o.push(a)}),o}},B1=r=>Ce.registerSaveRouter(r),V1=r=>Ce.registerLoadRouter(r),G1=r=>Ce.getSaveHandlers(r),W1=(r,t)=>Ce.getLoadHandlers(r,t);var kS=\"tensorflowjs\",TS=1,Wu=\"models_store\",ql=\"model_info_store\";function U1(){if(!M().getBool(\"IS_BROWSER\"))throw new Error(\"Failed to obtain IndexedDB factory because the current environmentis not a web browser.\");let r=typeof window==\"undefined\"?self:window,t=r.indexedDB||r.mozIndexedDB||r.webkitIndexedDB||r.msIndexedDB||r.shimIndexedDB;if(t==null)throw new Error(\"The current browser does not appear to support IndexedDB.\");return t}function ES(r){let t=r.result;t.createObjectStore(Wu,{keyPath:\"modelPath\"}),t.createObjectStore(ql,{keyPath:\"modelPath\"})}var Si=class{constructor(t){if(this.indexedDB=U1(),t==null||!t)throw new Error(\"For IndexedDB, modelPath must not be null, undefined or empty.\");this.modelPath=t}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserLocalStorage.save() does not support saving model topology in binary formats yet.\");return this.databaseAction(this.modelPath,t)}async load(){return this.databaseAction(this.modelPath)}databaseAction(t,e){return new Promise((n,o)=>{let s=this.indexedDB.open(kS,TS);s.onupgradeneeded=()=>ES(s),s.onsuccess=()=>{let i=s.result;if(e==null){let a=i.transaction(Wu,\"readonly\"),l=a.objectStore(Wu).get(this.modelPath);l.onsuccess=()=>{if(l.result==null)return i.close(),o(new Error(`Cannot find model with path '${this.modelPath}' in IndexedDB.`));n(l.result.modelArtifacts)},l.onerror=c=>(i.close(),o(l.error)),a.oncomplete=()=>i.close()}else{let a=vi(e),u=i.transaction(ql,\"readwrite\"),l=u.objectStore(ql),c=l.put({modelPath:this.modelPath,modelArtifactsInfo:a}),p;c.onsuccess=()=>{p=i.transaction(Wu,\"readwrite\");let f=p.objectStore(Wu).put({modelPath:this.modelPath,modelArtifacts:e,modelArtifactsInfo:a});f.onsuccess=()=>n({modelArtifactsInfo:a}),f.onerror=d=>{l=u.objectStore(ql);let h=l.delete(this.modelPath);h.onsuccess=()=>(i.close(),o(f.error)),h.onerror=g=>(i.close(),o(f.error))}},c.onerror=m=>(i.close(),o(c.error)),u.oncomplete=()=>{p==null?i.close():p.oncomplete=()=>i.close()}}},s.onerror=i=>o(s.error)})}};Si.URL_SCHEME=\"indexeddb://\";var H1=r=>M().getBool(\"IS_BROWSER\")&&!Array.isArray(r)&&r.startsWith(Si.URL_SCHEME)?b4(r.slice(Si.URL_SCHEME.length)):null;Ce.registerSaveRouter(H1);Ce.registerLoadRouter(H1);function b4(r){return new Si(r)}function w4(r){return r.startsWith(Si.URL_SCHEME)?r.slice(Si.URL_SCHEME.length):r}var Ug=class{constructor(){this.indexedDB=U1()}async listModels(){return new Promise((t,e)=>{let n=this.indexedDB.open(kS,TS);n.onupgradeneeded=()=>ES(n),n.onsuccess=()=>{let o=n.result,s=o.transaction(ql,\"readonly\"),a=s.objectStore(ql).getAll();a.onsuccess=()=>{let u={};for(let l of a.result)u[l.modelPath]=l.modelArtifactsInfo;t(u)},a.onerror=u=>(o.close(),e(a.error)),s.oncomplete=()=>o.close()},n.onerror=o=>e(n.error)})}async removeModel(t){return t=w4(t),new Promise((e,n)=>{let o=this.indexedDB.open(kS,TS);o.onupgradeneeded=()=>ES(o),o.onsuccess=()=>{let s=o.result,i=s.transaction(ql,\"readwrite\"),a=i.objectStore(ql),u=a.get(t),l;u.onsuccess=()=>{if(u.result==null)return s.close(),n(new Error(`Cannot find model with path '${t}' in IndexedDB.`));{let c=a.delete(t),p=()=>{l=s.transaction(Wu,\"readwrite\");let f=l.objectStore(Wu).delete(t);f.onsuccess=()=>e(u.result.modelArtifactsInfo),f.onerror=d=>n(u.error)};c.onsuccess=p,c.onerror=m=>(p(),s.close(),n(u.error))}},u.onerror=c=>(s.close(),n(u.error)),i.oncomplete=()=>{l==null?s.close():l.oncomplete=()=>s.close()}},o.onerror=s=>n(o.error)})}};var Ka=\"/\",qp=\"tensorflowjs_models\",q1=\"info\",C4=\"model_topology\",I4=\"weight_specs\",v4=\"weight_data\",S4=\"model_metadata\";function K1(r){return{info:[qp,r,q1].join(Ka),topology:[qp,r,C4].join(Ka),weightSpecs:[qp,r,I4].join(Ka),weightData:[qp,r,v4].join(Ka),modelMetadata:[qp,r,S4].join(Ka)}}function j1(r){for(let t of Object.values(r))window.localStorage.removeItem(t)}function N4(r){let t=r.split(Ka);if(t.length<3)throw new Error(`Invalid key format: ${r}`);return t.slice(1,t.length-1).join(Ka)}function k4(r){return r.startsWith(Ni.URL_SCHEME)?r.slice(Ni.URL_SCHEME.length):r}var Ni=class{constructor(t){if(!M().getBool(\"IS_BROWSER\")||typeof window==\"undefined\"||typeof window.localStorage==\"undefined\")throw new Error(\"The current environment does not support local storage.\");if(this.LS=window.localStorage,t==null||!t)throw new Error(\"For local storage, modelPath must not be null, undefined or empty.\");this.modelPath=t,this.keys=K1(this.modelPath)}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserLocalStorage.save() does not support saving model topology in binary formats yet.\");{let e=JSON.stringify(t.modelTopology),n=JSON.stringify(t.weightSpecs),o=vi(t);try{this.LS.setItem(this.keys.info,JSON.stringify(o)),this.LS.setItem(this.keys.topology,e),this.LS.setItem(this.keys.weightSpecs,n),this.LS.setItem(this.keys.weightData,M1(t.weightData));let s={format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,signature:t.signature!=null?t.signature:void 0,userDefinedMetadata:t.userDefinedMetadata!=null?t.userDefinedMetadata:void 0,modelInitializer:t.modelInitializer!=null?t.modelInitializer:void 0,trainingConfig:t.trainingConfig!=null?t.trainingConfig:void 0};return this.LS.setItem(this.keys.modelMetadata,JSON.stringify(s)),{modelArtifactsInfo:o}}catch(s){throw j1(this.keys),new Error(`Failed to save model '${this.modelPath}' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=${o.modelTopologyBytes}, weightSpecsBytes=${o.weightSpecsBytes}, weightDataBytes=${o.weightDataBytes}.`)}}}async load(){let t=JSON.parse(this.LS.getItem(this.keys.info));if(t==null)throw new Error(`In local storage, there is no model with name '${this.modelPath}'`);if(t.modelTopologyType!==\"JSON\")throw new Error(\"BrowserLocalStorage does not support loading non-JSON model topology yet.\");let e={},n=JSON.parse(this.LS.getItem(this.keys.topology));if(n==null)throw new Error(`In local storage, the topology of model '${this.modelPath}' is missing.`);e.modelTopology=n;let o=JSON.parse(this.LS.getItem(this.keys.weightSpecs));if(o==null)throw new Error(`In local storage, the weight specs of model '${this.modelPath}' are missing.`);e.weightSpecs=o;let s=this.LS.getItem(this.keys.modelMetadata);if(s!=null){let a=JSON.parse(s);e.format=a.format,e.generatedBy=a.generatedBy,e.convertedBy=a.convertedBy,a.signature!=null&&(e.signature=a.signature),a.userDefinedMetadata!=null&&(e.userDefinedMetadata=a.userDefinedMetadata),a.modelInitializer!=null&&(e.modelInitializer=a.modelInitializer),a.trainingConfig!=null&&(e.trainingConfig=a.trainingConfig)}let i=this.LS.getItem(this.keys.weightData);if(i==null)throw new Error(`In local storage, the binary weight values of model '${this.modelPath}' are missing.`);return e.weightData=z1(i),e}};Ni.URL_SCHEME=\"localstorage://\";var X1=r=>M().getBool(\"IS_BROWSER\")&&!Array.isArray(r)&&r.startsWith(Ni.URL_SCHEME)?T4(r.slice(Ni.URL_SCHEME.length)):null;Ce.registerSaveRouter(X1);Ce.registerLoadRouter(X1);function T4(r){return new Ni(r)}var Hg=class{constructor(){E(M().getBool(\"IS_BROWSER\"),()=>\"Current environment is not a web browser\"),E(typeof window==\"undefined\"||typeof window.localStorage!=\"undefined\",()=>\"Current browser does not appear to support localStorage\"),this.LS=window.localStorage}async listModels(){let t={},e=qp+Ka,n=Ka+q1;for(let o=0;o\"scheme must not be undefined or null.\"),t.endsWith(Kp)&&(t=t.slice(0,t.indexOf(Kp))),E(t.length>0,()=>\"scheme must not be an empty string.\");let n=Tr.getInstance();E(n.managers[t]==null,()=>`A model store manager is already registered for scheme '${t}'.`),n.managers[t]=e}static getManager(t){let e=Tr.getInstance().managers[t];if(e==null)throw new Error(`Cannot find model manager for scheme '${t}'`);return e}static getSchemes(){return Object.keys(Tr.getInstance().managers)}};function qg(r){if(r.indexOf(Kp)===-1)throw new Error(`The url string provided does not contain a scheme. Supported schemes are: ${Tr.getSchemes().join(\",\")}`);return{scheme:r.split(Kp)[0],path:r.split(Kp)[1]}}async function Y1(r,t,e=!1){E(r!==t,()=>`Old path and new path are the same: '${r}'`);let n=Ce.getLoadHandlers(r);E(n.length>0,()=>`Copying failed because no load handler is found for source URL ${r}.`),E(n.length<2,()=>`Copying failed because more than one (${n.length}) load handlers for source URL ${r}.`);let o=n[0],s=Ce.getSaveHandlers(t);E(s.length>0,()=>`Copying failed because no save handler is found for destination URL ${t}.`),E(s.length<2,()=>`Copying failed because more than one (${n.length}) save handlers for destination URL ${t}.`);let i=s[0],a=qg(r).scheme,u=qg(r).path,l=a===qg(r).scheme,c=await o.load();e&&l&&await Tr.getManager(a).removeModel(u);let p=await i.save(c);return e&&!l&&await Tr.getManager(a).removeModel(u),p.modelArtifactsInfo}async function Z1(){let r=Tr.getSchemes(),t={};for(let e of r){let n=await Tr.getManager(e).listModels();for(let o in n){let s=e+Kp+o;t[s]=n[o]}}return t}async function J1(r){let t=qg(r);return Tr.getManager(t.scheme).removeModel(t.path)}async function Q1(r,t){return Y1(r,t,!1)}async function tE(r,t){return Y1(r,t,!0)}var _S=class{constructor(){this.messageName=\"setTimeoutCustom\",this.functionRefs=[],this.handledMessageCount=0,this.hasEventListener=!1}fetch(t,e){return fetch(t,e)}now(){return performance.now()}encode(t,e){if(e!==\"utf-8\"&&e!==\"utf8\")throw new Error(`Browser's encoder only supports utf-8, but got ${e}`);return this.textEncoder==null&&(this.textEncoder=new TextEncoder),this.textEncoder.encode(t)}decode(t,e){return new TextDecoder(e).decode(t)}setTimeoutCustom(t,e){if(!window||!M().getBool(\"USE_SETTIMEOUTCUSTOM\")){setTimeout(t,e);return}this.functionRefs.push(t),setTimeout(()=>{window.postMessage({name:this.messageName,index:this.functionRefs.length-1},\"*\")},e),this.hasEventListener||(this.hasEventListener=!0,window.addEventListener(\"message\",n=>{if(n.source===window&&n.data.name===this.messageName){n.stopPropagation();let o=this.functionRefs[n.data.index];o(),this.handledMessageCount++,this.handledMessageCount===this.functionRefs.length&&(this.functionRefs=[],this.handledMessageCount=0)}},!0))}};if(M().get(\"IS_BROWSER\")){M().setPlatform(\"browser\",new _S);try{Tr.registerManager(Ni.URL_SCHEME,new Hg)}catch(r){}try{Tr.registerManager(Si.URL_SCHEME,new Ug)}catch(r){}}var E4={importFetch:()=>eE()},AS;var $S=class{constructor(){this.util=rE(),this.textEncoder=new this.util.TextEncoder}fetch(t,e){return M().global.fetch!=null?M().global.fetch(t,e):(AS==null&&(AS=E4.importFetch()),AS(t,e))}now(){let t=process.hrtime();return t[0]*1e3+t[1]/1e6}encode(t,e){if(e!==\"utf-8\"&&e!==\"utf8\")throw new Error(`Node built-in encoder only supports utf-8, but got ${e}`);return this.textEncoder.encode(t)}decode(t,e){return t.length===0?\"\":new this.util.TextDecoder(e).decode(t)}};M().get(\"IS_NODE\")&&!M().get(\"IS_BROWSER\")&&M().setPlatform(\"node\",new $S);function wt(r,t=\"float32\",e){return t=t||\"float32\",Bd(r),new pe(r,t,e)}function _4(r,t){let e=I(r,\"x\",\"cast\");if(!Qv(t))throw new Error(`Failed to cast to unknown dtype ${t}`);if(t===\"string\"&&e.dtype!==\"string\"||t!==\"string\"&&e.dtype===\"string\")throw new Error(\"Only strings can be casted to strings\");let n={x:e},o={dtype:t};return T.runKernel(io,n,o)}var J=k({cast_:_4});function A4(r){let e={x:I(r,\"x\",\"clone\",\"string_or_numeric\")};return T.runKernel(lo,e)}var sn=k({clone_:A4});function Kg(r,t=!1){console.log(r.toString(t))}bS();var $4={buffer:wt,cast:J,clone:sn,print:Kg};$1($4);var Er={};Gt(Er,{browserFiles:()=>oE,browserHTTPRequest:()=>aE,concatenateArrayBuffers:()=>Up,copyModel:()=>Q1,decodeWeights:()=>Vg,encodeWeights:()=>L1,fromMemory:()=>lE,fromMemorySync:()=>LS,getLoadHandlers:()=>W1,getModelArtifactsForJSON:()=>Hp,getModelArtifactsForJSONSync:()=>NS,getModelArtifactsInfoForJSON:()=>vi,getSaveHandlers:()=>G1,getWeightSpecs:()=>Wg,http:()=>Xg,isHTTPScheme:()=>jg,listModels:()=>Z1,loadWeights:()=>sE,moveModel:()=>tE,registerLoadRouter:()=>V1,registerSaveRouter:()=>B1,removeModel:()=>J1,weightsLoaderFactory:()=>OS,withSaveHandler:()=>uE,withSaveHandlerSync:()=>cE});var D4=\"model\",R4=\".json\",F4=\".weights.bin\";function nE(r){return new Promise(t=>setTimeout(t)).then(r)}var ja=class{constructor(t){if(!M().getBool(\"IS_BROWSER\"))throw new Error(\"browserDownloads() cannot proceed because the current environment is not a browser.\");t.startsWith(ja.URL_SCHEME)&&(t=t.slice(ja.URL_SCHEME.length)),(t==null||t.length===0)&&(t=D4),this.modelJsonFileName=t+R4,this.weightDataFileName=t+F4}async save(t){if(typeof document==\"undefined\")throw new Error(\"Browser downloads are not supported in this environment since `document` is not present\");let e=window.URL.createObjectURL(new Blob([t.weightData],{type:\"application/octet-stream\"}));if(t.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserDownloads.save() does not support saving model topology in binary formats yet.\");{let n=[{paths:[\"./\"+this.weightDataFileName],weights:t.weightSpecs}],o=Gg(t,n),s=window.URL.createObjectURL(new Blob([JSON.stringify(o)],{type:\"application/json\"})),i=this.modelJsonAnchor==null?document.createElement(\"a\"):this.modelJsonAnchor;if(i.download=this.modelJsonFileName,i.href=s,await nE(()=>i.dispatchEvent(new MouseEvent(\"click\"))),t.weightData!=null){let a=this.weightDataAnchor==null?document.createElement(\"a\"):this.weightDataAnchor;a.download=this.weightDataFileName,a.href=e,await nE(()=>a.dispatchEvent(new MouseEvent(\"click\")))}return{modelArtifactsInfo:vi(t)}}}};ja.URL_SCHEME=\"downloads://\";var DS=class{constructor(t){if(t==null||t.length<1)throw new Error(`When calling browserFiles, at least 1 file is required, but received ${t}`);this.jsonFile=t[0],this.weightsFiles=t.slice(1)}async load(){return new Promise((t,e)=>{let n=new FileReader;n.onload=o=>{let s=JSON.parse(o.target.result),i=s.modelTopology;if(i==null){e(new Error(`modelTopology field is missing from file ${this.jsonFile.name}`));return}if(s.weightsManifest==null){e(new Error(`weightManifest field is missing from file ${this.jsonFile.name}`));return}if(this.weightsFiles.length===0){t({modelTopology:i});return}let u=Hp(s,l=>this.loadWeights(l));t(u)},n.onerror=o=>e(`Failed to read model topology and weights manifest JSON from file '${this.jsonFile.name}'. BrowserFiles supports loading Keras-style tf.Model artifacts only.`),n.readAsText(this.jsonFile)})}loadWeights(t){let e=[],n=[];for(let i of t)e.push(...i.weights),n.push(...i.paths);let o=this.checkManifestAndWeightFiles(t),s=n.map(i=>this.loadWeightsFile(i,o[i]));return Promise.all(s).then(i=>[e,Up(i)])}loadWeightsFile(t,e){return new Promise((n,o)=>{let s=new FileReader;s.onload=i=>{let a=i.target.result;n(a)},s.onerror=i=>o(`Failed to weights data from file of path '${t}'.`),s.readAsArrayBuffer(e)})}checkManifestAndWeightFiles(t){let e=[],n=this.weightsFiles.map(s=>SS(s.name)),o={};for(let s of t)s.paths.forEach(i=>{let a=SS(i);if(e.indexOf(a)!==-1)throw new Error(`Duplicate file basename found in weights manifest: '${a}'`);if(e.push(a),n.indexOf(a)===-1)throw new Error(`Weight file with basename '${a}' is not provided.`);o[i]=this.weightsFiles[n.indexOf(a)]});if(e.length!==this.weightsFiles.length)throw new Error(`Mismatch in the number of files in weights manifest (${e.length}) and the number of weight files provided (${this.weightsFiles.length}).`);return o}},O4=r=>M().getBool(\"IS_BROWSER\")&&!Array.isArray(r)&&r.startsWith(ja.URL_SCHEME)?P4(r.slice(ja.URL_SCHEME.length)):null;Ce.registerSaveRouter(O4);function P4(r=\"model\"){return new ja(r)}function oE(r){return new DS(r)}function RS(r,t,e,n){i(r),e=e==null?0:e,n=n==null?1:n,a(e,n);let o=0,s=u=>(u.then(l=>{let c=e+ ++o/r.length*(n-e);return t(c),l}),u);function i(u){E(u!=null&&Array.isArray(u)&&u.length>0,()=>\"promises must be a none empty array\")}function a(u,l){E(u>=0&&u<=1,()=>`Progress fraction must be in range [0, 1], but got startFraction ${u}`),E(l>=0&&l<=1,()=>`Progress fraction must be in range [0, 1], but got endFraction ${l}`),E(l>=u,()=>`startFraction must be no more than endFraction, but got startFraction ${u} and endFraction ${l}`)}return Promise.all(r.map(s))}async function FS(r,t){t==null&&(t={});let e=t.fetchFunc==null?M().platform.fetch:t.fetchFunc,n=r.map(p=>e(p,t.requestInit,{isBinary:!0})),o=0,s=.5,a=(t.onProgress==null?await Promise.all(n):await RS(n,t.onProgress,o,s)).map(p=>p.arrayBuffer()),u=.5,l=1;return t.onProgress==null?await Promise.all(a):await RS(a,t.onProgress,u,l)}async function sE(r,t=\"\",e,n){return OS(i=>FS(i,{requestInit:n}))(r,t,e)}function OS(r){return async(t,e=\"\",n)=>{let o=t.map(()=>!1),s={},i=n!=null?n.map(()=>!1):[],a=[];if(t.forEach((f,d)=>{let h=0;f.weights.forEach(g=>{let x=\"quantization\"in g?g.quantization.dtype:g.dtype,b=th[x]*Zt(g.shape),w=()=>{o[d]=!0,s[d]==null&&(s[d]=[]),s[d].push({manifestEntry:g,groupOffset:h,sizeBytes:b})};n!=null?n.forEach((C,N)=>{C===g.name&&(w(),i[N]=!0)}):w(),a.push(g.name),h+=b})}),!i.every(f=>f)){let f=n.filter((d,h)=>!i[h]);throw new Error(`Could not find weights in manifest with names: ${f.join(\", \")}. \nManifest JSON has weights with names: ${a.join(\", \")}.`)}let u=o.reduce((f,d,h)=>(d&&f.push(h),f),[]),l=[];u.forEach(f=>{t[f].paths.forEach(d=>{let h=e+(e.endsWith(\"/\")?\"\":\"/\")+d;l.push(h)})});let c=await r(l),p={},m=0;return u.forEach(f=>{let d=t[f].paths.length,h=0;for(let C=0;C{let N=g.slice(C.groupOffset,C.groupOffset+C.sizeBytes),_=Vg(N,[C.manifestEntry]);for(let A in _)p[A]=_[A]}),m+=d}),p}}var L4=\"application/octet-stream\",M4=\"application/json\",eh=class{constructor(t,e){if(this.DEFAULT_METHOD=\"POST\",e==null&&(e={}),this.weightPathPrefix=e.weightPathPrefix,this.onProgress=e.onProgress,this.weightUrlConverter=e.weightUrlConverter,e.fetchFunc!=null?(E(typeof e.fetchFunc==\"function\",()=>\"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)\"),this.fetch=e.fetchFunc):this.fetch=M().platform.fetch,E(t!=null&&t.length>0,()=>\"URL path for http must not be null, undefined or empty.\"),Array.isArray(t)&&E(t.length===2,()=>`URL paths for http must have a length of 2, (actual length is ${t.length}).`),this.path=t,e.requestInit!=null&&e.requestInit.body!=null)throw new Error(\"requestInit is expected to have no pre-existing body, but has one.\");this.requestInit=e.requestInit||{}}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.\");let e=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);e.body=new FormData;let n=[{paths:[\"./model.weights.bin\"],weights:t.weightSpecs}],o=Gg(t,n);e.body.append(\"model.json\",new Blob([JSON.stringify(o)],{type:M4}),\"model.json\"),t.weightData!=null&&e.body.append(\"model.weights.bin\",new Blob([t.weightData],{type:L4}),\"model.weights.bin\");let s=await this.fetch(this.path,e);if(s.ok)return{modelArtifactsInfo:vi(t),responses:[s]};throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${s.status}.`)}async load(){let t=await this.fetch(this.path,this.requestInit);if(!t.ok)throw new Error(`Request to ${this.path} failed with status code ${t.status}. Please verify this URL points to the model JSON of the model to load.`);let e;try{e=await t.json()}catch(s){let i=`Failed to parse model JSON of response from ${this.path}.`;throw this.path.endsWith(\".pb\")?i+=\" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.\":i+=\" Please make sure the server is serving valid JSON for this request.\",new Error(i)}let n=e.modelTopology,o=e.weightsManifest;if(n==null&&o==null)throw new Error(`The JSON from HTTP path ${this.path} contains neither model topology or manifest for weights.`);return Hp(e,s=>this.loadWeights(s))}async loadWeights(t){let e=Array.isArray(this.path)?this.path[1]:this.path,[n,o]=z4(e),s=this.weightPathPrefix||n,i=Wg(t),a=[],u=[];for(let c of t)for(let p of c.paths)this.weightUrlConverter!=null?u.push(this.weightUrlConverter(p)):a.push(s+p+o);this.weightUrlConverter&&a.push(...await Promise.all(u));let l=await FS(a,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress});return[i,Up(l)]}};eh.URL_SCHEME_REGEX=/^https?:\\/\\//;function z4(r){let t=r.lastIndexOf(\"/\"),e=r.lastIndexOf(\"?\"),n=r.substring(0,t),o=e>t?r.substring(e):\"\";return[n+\"/\",o]}function jg(r){return r.match(eh.URL_SCHEME_REGEX)!=null}var iE=(r,t)=>{if(typeof fetch==\"undefined\"&&(t==null||t.fetchFunc==null))return null;{let e=!0;if(Array.isArray(r)?e=r.every(n=>jg(n)):e=jg(r),e)return Xg(r,t)}return null};Ce.registerSaveRouter(iE);Ce.registerLoadRouter(iE);function Xg(r,t){return new eh(r,t)}function aE(r,t){return Xg(r,t)}var rh=class{constructor(t){this.modelArtifacts=t}load(){return this.modelArtifacts}},Yg=class{constructor(t){this.saveHandler=t}save(t){return this.saveHandler(t)}},PS=class{constructor(t){t.load&&(this.load=()=>Promise.resolve(t.load())),t.save&&(this.save=e=>Promise.resolve(t.save(e)))}};function lE(r,t,e,n){let o=arguments;return new PS(LS(...o))}function LS(r,t,e,n){return arguments.length===1?r.modelTopology!=null||r.weightSpecs!=null?new rh(r):(console.warn(\"Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release.\"),new rh({modelTopology:r})):(console.warn(\"Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release.\"),new rh({modelTopology:r,weightSpecs:t,weightData:e,trainingConfig:n}))}function uE(r){return new Yg(r)}function cE(r){return new Yg(r)}var fE={};Gt(fE,{confusionMatrix:()=>mE});function B4(r,t,e=!1,n=!1){let o=I(r,\"a\",\"matMul\"),s=I(t,\"b\",\"matMul\");[o,s]=Wt(o,s);let i={a:o,b:s},a={transposeA:e,transposeB:n};return T.runKernel(Uo,i,a)}var Lt=k({matMul_:B4});function V4(r,t,e=1,n=0,o=\"int32\"){if(t<2)throw new Error(`Error in oneHot: depth must be >=2, but it is ${t}`);let i={indices:I(r,\"indices\",\"oneHot\",\"int32\")},a={dtype:o,depth:t,onValue:e,offValue:n};return T.runKernel(hs,i,a)}var ki=k({oneHot_:V4});function Qct(){M().set(\"PROD\",!0)}function tpt(){M().set(\"DEBUG\",!0)}function ept(){M().set(\"DEPRECATION_WARNINGS_ENABLED\",!1),console.warn(\"TensorFlow.js deprecation warnings have been disabled.\")}function MS(r){M().getBool(\"DEPRECATION_WARNINGS_ENABLED\")&&console.warn(r+\" You can disable deprecation warnings with tf.disableDeprecationWarnings().\")}D1(MS);function rpt(){T.disposeVariables()}function ho(){return T}function nh(){return T.memory()}function npt(r){return T.profile(r)}function B(r,t){return T.tidy(r,t)}function St(r){Qd(r).forEach(e=>e.dispose())}function De(r){return T.keep(r)}function opt(r){return T.time(r)}function G4(r){return T.setBackend(r)}function spt(){return T.ready()}function ipt(){return T.backendName}function apt(r){T.removeBackend(r)}function lpt(r){return T.findBackend(r)}function upt(r){return T.findBackendFactory(r)}function jp(r,t,e=1){return T.registerBackend(r,t,e)}function pE(){return T.backend}function cpt(r,t){M().setPlatform(r,t)}function W4(r){let e={input:I(r,\"input\",\"imag\")};return T.runKernel(vp,e)}var Kl=k({imag_:W4});function U4(r){let e={x:I(r,\"x\",\"neg\")};return T.runKernel(ui,e)}var Ut=k({neg_:U4});function H4(r){let e={input:I(r,\"input\",\"real\")};return T.runKernel(Dp,e)}var Xa=k({real_:H4});function q4(r,t,e){let n=I(r,\"x\",\"transpose\");if(t==null&&(t=n.shape.map((i,a)=>a).reverse()),E(n.rank===t.length,()=>`Error in transpose: rank of input ${n.rank} must match length of perm ${t}.`),t.forEach(i=>{E(i>=0&&i`All entries in 'perm' must be between 0 and ${n.rank-1} but got ${t}`)}),n.rank<=1)return n.clone();let o={x:n},s={perm:t};return n.dtype===\"complex64\"?B(()=>{let i=Xa(n),a=Kl(n);return i=T.runKernel(Jn,{x:i},s),a=T.runKernel(Jn,{x:a},s),e&&(a=Ut(a)),bn(i,a)}):T.runKernel(Jn,o,s)}var Ot=k({transpose_:q4});function K4(r,t,e){let n=I(r,\"labels\",\"confusionMatrix\"),o=I(t,\"predictions\",\"confusionMatrix\");E(e==null||e>0&&Number.isInteger(e),()=>`If provided, numClasses must be a positive integer, but got ${e}`),E(n.rank===1,()=>`Expected the rank of labels to be 1, but got ${n.rank}`),E(o.rank===1,()=>`Expected the rank of predictions to be 1, but got ${o.rank}`),E(n.shape[0]===o.shape[0],()=>`Mismatch in the number of examples: ${n.shape[0]} vs. ${o.shape[0]}. Labels and predictions should have the same number of elements.`),E(e>0&&Number.isInteger(e),()=>`numClasses is required to be a positive integer, but got ${e}`);let s=ki(J(n,\"int32\"),e),i=ki(J(o,\"int32\"),e),a=Ot(s),u=Lt(a,i);return J(u,\"int32\")}var mE=k({confusionMatrix_:K4});var zr={};Gt(zr,{assertAndGetBroadcastShape:()=>Pt,getBroadcastDims:()=>dE,getReductionAxes:()=>ge});function dE(r,t){let e=r.length,n=[];for(let o=0;o1&&i===1&&n.unshift(s)}return n}function ge(r,t){let e=[];for(let n=0;n1)&&e.unshift(s)}return e}function Pt(r,t){let e=[],n=Math.max(r.length,t.length);for(let o=0;otH,fromPixelsAsync:()=>J4,toPixels:()=>Q4});function Zg(r,t,e){if(Xn(r),t!=null&&t.length!==3)throw new Error(\"tensor3d() requires shape to have three numbers\");let n=Mr(r,e);if(n.length!==3&&n.length!==1)throw new Error(\"tensor3d() requires values to be number[][][] or flat/TypedArray\");if(n.length===1&&t==null)throw new Error(\"tensor3d() requires shape to be provided when `values` are a flat array\");return on(r,t,n,e)}var Uu;function hE(r,t=3){if(t>4)throw new Error(\"Cannot construct Tensor with more than 4 channels from pixels.\");if(r==null)throw new Error(\"pixels passed to tf.browser.fromPixels() can not be null\");let e=!1,n=!1,o=!1,s=!1,i=!1,a=!1;if(r.data instanceof Uint8Array)e=!0;else if(typeof ImageData!=\"undefined\"&&r instanceof ImageData)n=!0;else if(typeof HTMLVideoElement!=\"undefined\"&&r instanceof HTMLVideoElement)o=!0;else if(typeof HTMLImageElement!=\"undefined\"&&r instanceof HTMLImageElement)s=!0;else if(r.getContext!=null)i=!0;else if(typeof ImageBitmap!=\"undefined\"&&r instanceof ImageBitmap)a=!0;else throw new Error(`pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was ${r.constructor.name}`);if(jd(qd,T.backendName)!=null){let d={pixels:r},h={numChannels:t};return T.runKernel(qd,d,h)}let[l,c]=o?[r.videoWidth,r.videoHeight]:[r.width,r.height],p;if(i)p=r.getContext(\"2d\").getImageData(0,0,l,c).data;else if(n||e)p=r.data;else if(s||o||a){if(Uu==null)if(typeof document==\"undefined\")if(typeof OffscreenCanvas!=\"undefined\"&&typeof OffscreenCanvasRenderingContext2D!=\"undefined\")Uu=new OffscreenCanvas(1,1).getContext(\"2d\");else throw new Error(\"Cannot parse input in current context. Reason: OffscreenCanvas Context2D rendering is not supported.\");else Uu=document.createElement(\"canvas\").getContext(\"2d\",{willReadFrequently:!0});Uu.canvas.width=l,Uu.canvas.height=c,Uu.drawImage(r,0,0,l,c),p=Uu.getImageData(0,0,l,c).data}let m;if(t===4)m=new Int32Array(p);else{let d=l*c;m=new Int32Array(d*t);for(let h=0;h4||s===2)throw new Error(`toPixels only supports depth of size 1, 3 or 4 but got ${s}`);if(e.dtype!==\"float32\"&&e.dtype!==\"int32\")throw new Error(`Unsupported type for toPixels: ${e.dtype}. Please use float32 or int32 tensors.`);let i=await e.data(),a=e.dtype===\"float32\"?255:1,u=new Uint8ClampedArray(o*n*4);for(let l=0;l1)throw new Error(`Tensor values for a float32 Tensor must be in the range [0 - 1] but encountered ${f}.`)}else if(e.dtype===\"int32\"&&(f<0||f>255))throw new Error(`Tensor values for a int32 Tensor must be in the range [0 - 255] but encountered ${f}.`);s===1?(c[0]=f*a,c[1]=f*a,c[2]=f*a):c[m]=f*a}let p=l*4;u[p+0]=Math.round(c[0]),u[p+1]=Math.round(c[1]),u[p+2]=Math.round(c[2]),u[p+3]=Math.round(c[3])}if(t!=null){t.width=o,t.height=n;let l=t.getContext(\"2d\"),c=new ImageData(u,o,n);l.putImageData(c,0,0)}return e!==r&&e.dispose(),u}var tH=k({fromPixels_:hE});var Qg={};Gt(Qg,{prepareAndValidate:()=>gE});function gE(r,t){let e=r.shape.length,n=t.shape.length;if(e<1)throw new Error(`tf.gatherND() expects the input to be rank 1 or higher, but the rank was ${e}.`);if(n<1)throw new Error(`tf.gatherND() expects the indices to be rank 1 or higher, but the rank was ${n}.`);if(t.dtype!==\"int32\")throw new Error(`tf.gatherND() expects the indices to be int32 type, but the dtype was ${t.dtype}.`);if(t.shape[n-1]>e)throw new Error(`index innermost dimension length must be <= tensor rank; saw: ${t.shape[n-1]} vs. ${e}`);if(Zt(r.shape)===0)throw new Error(`Requested more than 0 entries, but input is empty. Input shape: ${r.shape}.`);let o=t.shape,s=o[o.length-1],i=1;for(let p=0;pp/l),1].slice(0,s);return[u,i,l,c]}var oh={};Gt(oh,{calculateShapes:()=>xE,validateInput:()=>tx,validateUpdateShape:()=>zS});function zS(r,t,e){let n=t.rank>1?t.shape[t.rank-1]:1,o=t.rank>1?t.rank-1:1,s=`Must have updates.shape = indices.shape[:batchDim] + shape[sliceDim:], got updates.shape: ${e.shape}, indices.shape: ${t.shape}, shape: ${r}, sliceDim: ${n}, and batchDim: ${o}.`;if(e.rank1?t.shape[n-1]:1,s=e.length,i=1;for(let p=o;prH,computeFlatOffset:()=>aH,computeOutShape:()=>oH,getNormalizedAxes:()=>sH,isSliceContinous:()=>iH,maskToAxes:()=>nH,parseSliceParams:()=>VS,sliceInfo:()=>lH,startForAxis:()=>NE,startIndicesWithElidedDims:()=>IE,stopForAxis:()=>kE,stopIndicesWithElidedDims:()=>vE,stridesForAxis:()=>SE,stridesWithElidedDims:()=>bE});var BS=-2,eH=-1;function rH(r,t,e){let n=r.shape.length;E(n===t.length,()=>`Error in slice${n}D: Length of begin ${t} must match the rank of the array (${n}).`),E(n===e.length,()=>`Error in slice${n}D: Length of size ${e} must match the rank of the array (${n}).`);for(let o=0;o`Error in slice${n}D: begin[${o}] + size[${o}] (${t[o]+e[o]}) would overflow input.shape[${o}] (${r.shape[o]})`)}function nH(r){let t=[],e=0;for(;r>0;)r&1&&t.push(e),r/=2,e++;return t}function oH(r,t,e){let n=[];for(let o=0;o0){let f=t[0],d=e+1;c=IE(i,f,d,n,r),p=vE(a,f,d,o,r),m=bE(s,f,d,r)}else for(let f=0;f-1)s[a]=0;else{let u=wE(t,e,a),l=n[u];r&1<-1)s[a]=Number.MAX_SAFE_INTEGER;else{let u=wE(t,e,a),l=n[u];r&1<0?i=Number.MIN_SAFE_INTEGER:i=Number.MAX_SAFE_INTEGER);let u=n[o];return i<0&&(i+=u),i=np(0,i,u-1),i}function kE(r,t,e,n,o,s){let i=t[o],a=e[o]||1;(r&1<0?i=Number.MAX_SAFE_INTEGER:i=Number.MIN_SAFE_INTEGER);let u=n[o];return i<0&&(i+=u),a>0?i=np(0,i,u):i=np(-1,i,u-1),i}function iH(r,t,e){let n=e.length;for(let o=0;o1){n=o;break}for(let o=n+1;o0||e[o]!==r[o])return!1;return!0}function aH(r,t){let e=r.length>0?r[r.length-1]:1;for(let n=0;n{E(i!==-1,()=>\"slice() does not support negative begin indexing.\")});let s;return e==null?s=new Array(o).fill(-1):typeof e==\"number\"?s=[e,...new Array(o-1).fill(-1)]:e.lengthi>=0?i:(E(i===-1,()=>`Negative size values should be exactly -1 but got ${i} for the slice() size at index ${a}.`),r.shape[a]-n[a])),[n,s]}function lH(r,t,e,n,o,s,i,a,u){let l;if(n==null?(l=new Array(t.length),l.fill(1)):l=n,i!=null&&(i&i-1)!==0)throw new Error(\"Multiple ellipses in slice is not allowed.\");let c=!1,p={dims:l.length,numAddAxisAfterEllipsis:0,begin:t.slice(),end:e.slice(),strides:l.slice(),beginMask:o,endMask:s,ellipsisMask:i,newAxisMask:a,shrinkAxisMask:u};for(let w=0;w0?0:-1,m.strides[w]>0?N:N-1];if(C&&m.strides[w]<=0)throw Error(\"only stride 1 allowed on non-range indexing.\");h=h&&m.strides[w]===1;let $=!!(m.beginMask&1<=N)throw Error(`slice index ${m.begin[w]} of dimension ${w} out of bounds.`)}else m.begin[w]=yE(m.begin[w],0,m.strides[w],N,_,A),m.end[w]=yE(m.end[w],1,m.strides[w],N,_,A);let V=m.strides[w]===1&&m.begin[w]===0&&m.end[w]===N;f=f&&V,d=d&&(w===0&&m.strides[w]===1||V)}else f=f&&m.strides[w]===1&&$,d=d&&(w===0&&m.strides[w]===1||$);let F,P=!1;if(m.beginValid&&m.endValid?(F=m.end[w]-m.begin[w],P=!0):C?(F=1,P=!0):$&&N>=0&&(m.strides[w]<0?F=-N:F=N,P=!0),P){let V;F===0||F<0!=m.strides[w]<0?V=0:V=Math.trunc(F/m.strides[w])+(F%m.strides[w]!==0?1:0),g.push(V)}else g.push(-1)}for(let w=0;w=0?x.push(g[C]):C===BS&&x.push(1)}return{finalShapeSparse:x.filter((w,C)=>m.finalShapeGatherIndices[C]!==BS),finalShape:x,isIdentity:f,sliceDim0:d,isSimpleSlice:h,begin:m.begin,end:m.end,strides:m.strides}}function uH(r,t){t.beginMask=0,t.endMask=0,t.shrinkAxisMask=0;let e=0;t.beginValid=r.begin!=null,t.endValid=r.end!=null,t.begin=new Array(t.dims),t.end=new Array(t.dims),t.strides=new Array(t.dims),t.finalShapeGatherIndices=[],t.finalShapeGatherIndicesSparse=[],t.inputShapeGatherIndicesSparse=new Array(t.dims);for(let n=0;n0?s[t]:s[t+1&1];{let i=r<0?n+r:r;return is[1]?s[1]:i}}var Q={};Gt(Q,{Serializable:()=>sh,SerializationMap:()=>Ti,registerClass:()=>wn});var sh=class{getClassName(){return this.constructor.className}static fromConfig(t,e){return new t(e)}},Ti=class{constructor(){this.classNameMap={}}static getMap(){return Ti.instance==null&&(Ti.instance=new Ti),Ti.instance}static register(t){Ti.getMap().classNameMap[t.className]=[t,t.fromConfig]}};function wn(r){E(r.className!=null,()=>\"Class being registered does not have the static className property defined.\"),E(typeof r.className==\"string\",()=>\"className is required to be a string, but got type \"+typeof r.className),E(r.className.length>0,()=>\"Class being registered has an empty-string as its className, which is disallowed.\"),Ti.register(r)}var AE={};Gt(AE,{TEST_EPSILON_FLOAT16:()=>TE,createVideoElement:()=>gH,encodeStrings:()=>_E,expectArrayBuffersEqual:()=>hH,expectArraysClose:()=>pH,expectArraysEqual:()=>fH,expectNumbersClose:()=>EE,expectPromiseToFail:()=>mH,expectValuesInRange:()=>dH,play:()=>xH,testEpsilon:()=>ex});var cH=.001,TE=.1;function pH(r,t,e){return e==null&&(e=ex()),GS(r,t,(n,o)=>WS(n,o,e))}function ex(){return T.backend.floatPrecision()===32?cH:TE}function GS(r,t,e){let n=!0;if((hr(r)||hr(t))&&(n=!1),hr(r)&&hr(t)&&(n=!0),n){let i=r.constructor.name,a=t.constructor.name;if(i!==a)throw new Error(`Arrays are of different type. Actual: ${i}. Expected: ${a}`)}if(Array.isArray(r)&&Array.isArray(t)){let i=Mr(r),a=Mr(t);if(!An(i,a))throw new Error(`Arrays have different shapes. Actual: [${i}]. Expected: [${a}]`)}let o=hr(r)?r:zo(r),s=hr(t)?t:zo(t);if(o.length!==s.length)throw new Error(`Arrays have different lengths actual: ${o.length} vs expected: ${s.length}.\nActual: ${o}.\nExpected: ${s}.`);for(let i=0;it.fail(),()=>t()),typeof expect!=\"undefined\"&&expect().nothing()}function fH(r,t){let e=typeof t==\"string\"||typeof t==\"number\"||typeof t==\"boolean\"?[t]:t;return Bo(r)||Bo(r[0])||Bo(t)||Bo(t[0])?GS(r,e,(n,o)=>n==o):GS(r,t,(n,o)=>WS(n,o,0))}function EE(r,t,e){if(e==null&&(e=ex()),!WS(r,t,e))throw new Error(`Numbers differ: actual === ${r}, expected === ${t}`);typeof expect!=\"undefined\"&&expect().nothing()}function WS(r,t,e){return!isFinite(r)&&!isFinite(t)?!0:!(isNaN(r)||isNaN(t)||Math.abs(r-t)>e)}function dH(r,t,e){for(let n=0;ne)throw new Error(`Value out of range:${r[n]} low: ${t}, high: ${e}`)}function hH(r,t){let e=new Float32Array(r),n=new Float32Array(t);if(e.length!==n.length)throw new Error(`Expected ArrayBuffer to be of length ${n.length}, but it was ${e.length}`);for(let o=0;o{t.addEventListener(\"loadeddata\",n=>e(t)),t.load()})}async function xH(r){await r.play(),\"requestVideoFrameCallback\"in r&&await new Promise(t=>{r.requestVideoFrameCallback(t)})}var $E=\"3.21.0\";function yH(r,t){let e=I(r,\"a\",\"add\"),n=I(t,\"b\",\"add\");[e,n]=Wt(e,n);let o={a:e,b:n};return T.runKernel(Yn,o)}var X=k({add_:yH});function bH(r,t){let e=I(r,\"a\",\"floorDiv\"),n=I(t,\"b\",\"floorDiv\");[e,n]=Wt(e,n);let o={a:e,b:n};return T.runKernel(rs,o)}var Xp=k({floorDiv_:bH});function wH(r,t){let e=I(r,\"a\",\"div\"),n=I(t,\"b\",\"div\");if([e,n]=Wt(e,n),e.dtype===\"int32\"&&n.dtype===\"int32\")return Xp(e,n);let o={a:e,b:n},s={};return T.runKernel(Jo,o,s)}var pt=k({div_:wH});function CH(r,t){let e=I(r,\"a\",\"mul\"),n=I(t,\"b\",\"mul\");[e,n]=Wt(e,n);let o={a:e,b:n};return T.runKernel(ds,o)}var R=k({mul_:CH});function IH(r){let t=I(r,\"x\",\"abs\");if(t.dtype===\"complex64\"){let e={x:t};return T.runKernel(Tl,e)}else{let e={x:t};return T.runKernel(oi,e)}}var Ee=k({abs_:IH});function vH(r){let e={x:I(r,\"x\",\"acos\")};return T.runKernel(ra,e)}var rx=k({acos_:vH});function SH(r){let e={x:I(r,\"x\",\"acosh\")};return T.runKernel(na,e)}var nx=k({acosh_:SH});function NH(r){E(Array.isArray(r),()=>\"The argument passed to tf.addN() must be a list of tensors\"),E(r.length>=1,()=>`Must pass at least one tensor to tf.addN(), but got ${r.length}`);let t=r.map((o,s)=>I(o,`tensors${s}`,\"addN\")),e=t[0];t.forEach(o=>{if(o.dtype!==e.dtype)throw new Error(\"All tensors passed to tf.addN() must have the same dtype\")}),t.forEach(o=>{if(!An(o.shape,e.shape))throw new Error(\"All tensors passed to tf.addN() must have the same shape\")});let n=t;return T.runKernel(Vo,n)}var DE=k({addN_:NH});function kH(r,t=null,e=!1){let o={x:I(r,\"x\",\"all\",\"bool\")},s={axis:t,keepDims:e};return T.runKernel(oa,o,s)}var Yp=k({all_:kH});function TH(r,t=null,e=!1){let o={x:I(r,\"x\",\"any\",\"bool\")},s={axis:t,keepDims:e};return T.runKernel(sa,o,s)}var Hu=k({any_:TH});function EH(r,t=0){let n={x:I(r,\"x\",\"argMax\")},o={axis:t};return T.runKernel(Go,n,o)}var Ei=k({argMax_:EH});function _H(r,t=0){let n={x:I(r,\"x\",\"argMin\")},o={axis:t};return T.runKernel(Nl,n,o)}var ox=k({argMin_:_H});function AH(r){let e={x:I(r,\"x\",\"asin\")};return T.runKernel(ia,e)}var sx=k({asin_:AH});function $H(r){let e={x:I(r,\"x\",\"asinh\")};return T.runKernel(aa,e)}var ix=k({asinh_:$H});function DH(r){let e={x:I(r,\"x\",\"atan\")};return T.runKernel(la,e)}var ax=k({atan_:DH});function RH(r,t){let e=I(r,\"a\",\"atan2\"),n=I(t,\"b\",\"atan2\");[e,n]=Wt(e,n);let o={a:e,b:n};return T.runKernel(ca,o)}var lx=k({atan2_:RH});function FH(r){let e={x:I(r,\"x\",\"atanh\")};return T.runKernel(ua,e)}var ux=k({atanh_:FH});function OH(r,t,e,n,o=\"NHWC\",s){let i=r[3],a=[...t,i],u=FE(o);return Ku(r,a,e,s,n,null,null,u)}function HS(r,t,e,n,o,s,i=\"channelsLast\"){let[a,u]=cx(t),l;if(i===\"channelsLast\")l=[a,u,r[3],r[3]];else if(i===\"channelsFirst\")l=[a,u,r[1],r[1]];else throw new Error(`Unknown dataFormat ${i}`);return Ku(r,l,e,n,o,s,!1,i)}function PH(r,t,e,n,o,s,i=\"NDHWC\"){let[a,u,l]=US(t),c,p;if(i===\"NDHWC\")p=\"channelsLast\",c=[a,u,l,r[4],r[4]];else if(i===\"NCDHW\")p=\"channelsFirst\",c=[a,u,l,r[1],r[1]];else throw new Error(`Unknown dataFormat ${i}`);return RE(r,c,e,n,o,!1,p,s)}function Ku(r,t,e,n,o,s,i=!1,a=\"channelsLast\"){let[u,l,c,p]=[-1,-1,-1,-1];if(a===\"channelsLast\")[u,l,c,p]=r;else if(a===\"channelsFirst\")[u,p,l,c]=r;else throw new Error(`Unknown dataFormat ${a}`);let[m,f,,d]=t,[h,g]=cx(e),[x,b]=cx(n),w=Zp(m,x),C=Zp(f,b),{padInfo:N,outHeight:_,outWidth:A}=zH(o,l,c,h,g,w,C,s,a),$=i?d*p:d,F;return a===\"channelsFirst\"?F=[u,$,_,A]:a===\"channelsLast\"&&(F=[u,_,A,$]),{batchSize:u,dataFormat:a,inHeight:l,inWidth:c,inChannels:p,outHeight:_,outWidth:A,outChannels:$,padInfo:N,strideHeight:h,strideWidth:g,filterHeight:m,filterWidth:f,effectiveFilterHeight:w,effectiveFilterWidth:C,dilationHeight:x,dilationWidth:b,inShape:r,outShape:F,filterShape:t}}function RE(r,t,e,n,o,s=!1,i=\"channelsLast\",a){let[u,l,c,p,m]=[-1,-1,-1,-1,-1];if(i===\"channelsLast\")[u,l,c,p,m]=r;else if(i===\"channelsFirst\")[u,m,l,c,p]=r;else throw new Error(`Unknown dataFormat ${i}`);let[f,d,h,,g]=t,[x,b,w]=US(e),[C,N,_]=US(n),A=Zp(f,C),$=Zp(d,N),F=Zp(h,_),{padInfo:P,outDepth:V,outHeight:G,outWidth:W}=BH(o,l,c,p,x,b,w,A,$,F,a),q=s?g*m:g,H;return i===\"channelsFirst\"?H=[u,q,V,G,W]:i===\"channelsLast\"&&(H=[u,V,G,W,q]),{batchSize:u,dataFormat:i,inDepth:l,inHeight:c,inWidth:p,inChannels:m,outDepth:V,outHeight:G,outWidth:W,outChannels:q,padInfo:P,strideDepth:x,strideHeight:b,strideWidth:w,filterDepth:f,filterHeight:d,filterWidth:h,effectiveFilterDepth:A,effectiveFilterHeight:$,effectiveFilterWidth:F,dilationDepth:C,dilationHeight:N,dilationWidth:_,inShape:r,outShape:H,filterShape:t}}function LH(r,t,e,n,o){n==null&&(n=qS(r,t,e));let s=r[0],i=r[1],a=qu((s-t+2*n)/e+1,o),u=qu((i-t+2*n)/e+1,o);return[a,u]}function MH(r,t,e,n,o,s){o==null&&(o=qS(r,t,n));let i=r[0],a=r[1],u=r[2],l=qu((i-t+2*o)/n+1,s),c=qu((a-t+2*o)/n+1,s),p=qu((u-t+2*o)/n+1,s);return[l,c,p,e]}function qS(r,t,e,n=1){let o=Zp(t,n);return Math.floor((r[0]*(e-1)-e+o)/2)}function cx(r){return typeof r==\"number\"?[r,r,r]:r.length===2?[r[0],r[1],1]:r}function US(r){return typeof r==\"number\"?[r,r,r]:r}function Zp(r,t){return t<=1?r:r+(r-1)*(t-1)}function zH(r,t,e,n,o,s,i,a,u){let l,c,p;if(typeof r==\"number\"){l={top:r,bottom:r,left:r,right:r,type:r===0?\"VALID\":\"NUMBER\"};let f=LH([t,e],s,n,r,a);c=f[0],p=f[1]}else if(r===\"same\"){c=Math.ceil(t/n),p=Math.ceil(e/o);let m=Math.max(0,(c-1)*n+s-t),f=Math.max(0,(p-1)*o+i-e),d=Math.floor(m/2),h=m-d,g=Math.floor(f/2),x=f-g;l={top:d,bottom:h,left:g,right:x,type:\"SAME\"}}else if(r===\"valid\")l={top:0,bottom:0,left:0,right:0,type:\"VALID\"},c=Math.ceil((t-s+1)/n),p=Math.ceil((e-i+1)/o);else if(typeof r==\"object\"){let m=u===\"channelsLast\"?r[1][0]:r[2][0],f=u===\"channelsLast\"?r[1][1]:r[2][1],d=u===\"channelsLast\"?r[2][0]:r[3][0],h=u===\"channelsLast\"?r[2][1]:r[3][1];l={top:m,bottom:f,left:d,right:h,type:m===0&&f===0&&d===0&&h===0?\"VALID\":\"EXPLICIT\"},c=qu((t-s+m+f)/n+1,a),p=qu((e-i+d+h)/o+1,a)}else throw Error(`Unknown padding parameter: ${r}`);return{padInfo:l,outHeight:c,outWidth:p}}function BH(r,t,e,n,o,s,i,a,u,l,c){let p,m,f,d;if(typeof r==\"number\"){p={top:r,bottom:r,left:r,right:r,front:r,back:r,type:r===0?\"VALID\":\"NUMBER\"};let g=MH([t,e,n,1],a,1,o,r,c);m=g[0],f=g[1],d=g[2]}else if(r===\"same\"){m=Math.ceil(t/o),f=Math.ceil(e/s),d=Math.ceil(n/i);let h=(m-1)*o+a-t,g=(f-1)*s+u-e,x=(d-1)*i+l-n,b=Math.floor(h/2),w=h-b,C=Math.floor(g/2),N=g-C,_=Math.floor(x/2),A=x-_;p={top:C,bottom:N,left:_,right:A,front:b,back:w,type:\"SAME\"}}else if(r===\"valid\")p={top:0,bottom:0,left:0,right:0,front:0,back:0,type:\"VALID\"},m=Math.ceil((t-a+1)/o),f=Math.ceil((e-u+1)/s),d=Math.ceil((n-l+1)/i);else throw Error(`Unknown padding parameter: ${r}`);return{padInfo:p,outDepth:m,outHeight:f,outWidth:d}}function qu(r,t){if(!t)return Math.trunc(r);switch(t){case\"round\":return Math.round(r);case\"ceil\":return Math.ceil(r);case\"floor\":return Math.floor(r);default:throw new Error(`Unknown roundingMode ${t}`)}}function Qn(r){let[t,e,n]=cx(r);return t===1&&e===1&&n===1}function _r(r,t){return Qn(r)||Qn(t)}function FE(r){if(r===\"NHWC\")return\"channelsLast\";if(r===\"NCHW\")return\"channelsFirst\";throw new Error(`Unknown dataFormat ${r}`)}function Ie(r,t,e){if(e!=null){if(typeof t==\"string\")throw Error(`Error in ${r}: pad must be an integer when using dimRoundingMode ${e} but got pad ${t}.`);if(typeof t==\"number\")E(ea(t),()=>`Error in ${r}: pad must be an integer when using dimRoundingMode ${e} but got pad ${t}.`);else if(typeof t==\"object\")t.forEach(n=>{n.forEach(o=>{E(ea(o),()=>`Error in ${r}: pad must be an integer when using dimRoundingMode ${e} but got pad ${o}.`)})});else throw Error(`Error in ${r}: Unknown padding parameter: ${t}`)}}function VH(r,t){let n={x:I(r,\"x\",\"reshape\",\"string_or_numeric\")},o={shape:t};return T.runKernel(mi,n,o)}var D=k({reshape_:VH});function GH(r,t,e,n,o){let s=I(r,\"x\",\"avgPool\",\"float32\"),i=1;E(_r(e,i),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${e} and dilations '${i}'`);let a=s,u=!1;s.rank===3&&(u=!0,a=D(s,[1,s.shape[0],s.shape[1],s.shape[2]])),E(a.rank===4,()=>`Error in avgPool: x must be rank 4 but got rank ${a.rank}.`),Ie(\"avgPool\",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o},p=T.runKernel(Wo,l,c);return p=J(p,s.dtype),u?D(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var jl=k({avgPool_:GH});function WH(r,t,e,n,o,s=\"NDHWC\"){let i=I(r,\"x\",\"avgPool3d\",\"float32\"),a=i,u=!1;i.rank===4&&(u=!0,a=D(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),E(a.rank===5,()=>`Error in avgPool3d: x must be rank 5 but got rank ${a.rank}.`),E(s===\"NDHWC\",()=>`Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),Ie(\"avgPool3d\",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o,dataFormat:s},p=T.runKernel(kl,l,c);return p=J(p,a.dtype),u?D(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}var px=k({avgPool3d_:WH});function UH(r,t=0){E(r.length>=1,()=>\"Pass at least one tensor to concat\");let e=qa(r,\"tensors\",\"concat\",\"string_or_numeric\");if(e[0].dtype===\"complex64\"&&e.forEach(s=>{if(s.dtype!==\"complex64\")throw new Error(`Cannot concatenate complex64 tensors with a tensor\n with dtype ${s.dtype}. `)}),e.length===1)return sn(e[0]);let n=e,o={axis:t};return T.runKernel(ii,n,o)}var ne=k({concat_:UH});function HH(r){let e={x:I(r,\"x\",\"sigmoid\",\"float32\")};return T.runKernel(Es,e)}var Xr=k({sigmoid_:HH});function qH(r,t,e){let n=I(r,\"x\",\"slice\",\"string_or_numeric\");if(n.rank===0)throw new Error(\"Slicing scalar is not possible\");let o={x:n},s={begin:t,size:e};return T.runKernel(di,o,s)}var Dt=k({slice_:qH});function KH(r){let e={x:I(r,\"x\",\"tanh\",\"float32\")};return T.runKernel(Os,e)}var _i=k({tanh_:KH});function jH(r,t,e,n,o,s){let i=I(r,\"forgetBias\",\"basicLSTMCell\"),a=I(t,\"lstmKernel\",\"basicLSTMCell\"),u=I(e,\"lstmBias\",\"basicLSTMCell\"),l=I(n,\"data\",\"basicLSTMCell\"),c=I(o,\"c\",\"basicLSTMCell\"),p=I(s,\"h\",\"basicLSTMCell\"),m=ne([l,p],1),f=Lt(m,a),d=X(f,u),h=d.shape[0],g=d.shape[1]/4,x=[h,g],b=Dt(d,[0,0],x),w=Dt(d,[0,g],x),C=Dt(d,[0,g*2],x),N=Dt(d,[0,g*3],x),_=X(R(Xr(b),_i(w)),R(c,Xr(X(i,C)))),A=R(_i(_),Xr(N));return[_,A]}var OE=k({basicLSTMCell_:jH});function XH(r,t,e){let n=I(r,\"x\",\"batchToSpaceND\"),o=t.reduce((a,u)=>a*u);E(n.rank>=1+t.length,()=>`input rank is ${n.rank} but should be > than blockShape.length ${t.length}`),E(e.length===t.length,()=>`crops.length is ${e.length} but should be equal to blockShape.length ${t.length}`),E(n.shape[0]%o===0,()=>`input tensor batch is ${n.shape[0]} but is not divisible by the product of the elements of blockShape ${t.join(\" * \")} === ${o}`);let s={x:n},i={blockShape:t,crops:e};return T.runKernel(si,s,i)}var Xl=k({batchToSpaceND_:XH});function PE(r){let t;return r.rank===0||r.rank===1?t=D(r,[1,1,1,r.size]):r.rank===2?t=D(r,[1,1,r.shape[0],r.shape[1]]):r.rank===3?t=D(r,[1,r.shape[0],r.shape[1],r.shape[2]]):t=r,t}function YH(r,t,e,n,o,s){s==null&&(s=.001);let i=I(r,\"x\",\"batchNorm\"),a=I(t,\"mean\",\"batchNorm\"),u=I(e,\"variance\",\"batchNorm\"),l;o!=null&&(l=I(o,\"scale\",\"batchNorm\"));let c;n!=null&&(c=I(n,\"offset\",\"batchNorm\")),E(a.rank===u.rank,()=>\"Batch normalization gradient requires mean and variance to have equal ranks.\"),E(c==null||a.rank===c.rank,()=>\"Batch normalization gradient requires mean and offset to have equal ranks.\"),E(l==null||a.rank===l.rank,()=>\"Batch normalization gradient requires mean and scale to have equal ranks.\");let m={x:PE(i),scale:l,offset:c,mean:a,variance:u},f={varianceEpsilon:s},d=T.runKernel(ns,m,f);return D(d,i.shape)}var Ai=k({batchNorm_:YH});function ZH(r,t,e,n,o,s){let i=I(r,\"x\",\"batchNorm\"),a=I(t,\"mean\",\"batchNorm\"),u=I(e,\"variance\",\"batchNorm\"),l;o!=null&&(l=I(o,\"scale\",\"batchNorm\"));let c;return n!=null&&(c=I(n,\"offset\",\"batchNorm\")),E(i.rank===2,()=>`Error in batchNorm2D: x must be rank 2 but got rank ${i.rank}.`),E(a.rank===2||a.rank===1,()=>`Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank ${a.rank}.`),E(u.rank===2||u.rank===1,()=>`Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank ${u.rank}.`),l!=null&&E(l.rank===2||l.rank===1,()=>`Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank ${l.rank}.`),c!=null&&E(c.rank===2||c.rank===1,()=>`Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank ${c.rank}.`),Ai(i,a,u,c,l,s)}var mx=k({batchNorm2d_:ZH});function JH(r,t,e,n,o,s){let i=I(r,\"x\",\"batchNorm\"),a=I(t,\"mean\",\"batchNorm\"),u=I(e,\"variance\",\"batchNorm\"),l;o!=null&&(l=I(o,\"scale\",\"batchNorm\"));let c;return n!=null&&(c=I(n,\"offset\",\"batchNorm\")),E(i.rank===3,()=>`Error in batchNorm3D: x must be rank 3 but got rank ${i.rank}.`),E(a.rank===3||a.rank===1,()=>`Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank ${a.rank}.`),E(u.rank===3||u.rank===1,()=>`Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank ${u.rank}.`),l!=null&&E(l.rank===3||l.rank===1,()=>`Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank ${l.rank}.`),c!=null&&E(c.rank===3||c.rank===1,()=>`Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank ${c.rank}.`),Ai(i,a,u,c,l,s)}var fx=k({batchNorm3d_:JH});function QH(r,t,e,n,o,s){let i=I(r,\"x\",\"batchNorm\"),a=I(t,\"mean\",\"batchNorm\"),u=I(e,\"variance\",\"batchNorm\"),l;o!=null&&(l=I(o,\"scale\",\"batchNorm\"));let c;return n!=null&&(c=I(n,\"offset\",\"batchNorm\")),E(i.rank===4,()=>`Error in batchNorm4D: x must be rank 4 but got rank ${i.rank}.`),E(a.rank===4||a.rank===1,()=>`Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank ${a.rank}.`),E(u.rank===4||u.rank===1,()=>`Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank ${u.rank}.`),l!=null&&E(l.rank===4||l.rank===1,()=>`Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank ${l.rank}.`),c!=null&&E(c.rank===4||c.rank===1,()=>`Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank ${c.rank}.`),Ai(i,a,u,c,l,s)}var dx=k({batchNorm4d_:QH});function tq(r,t,e){let n=I(r,\"x\",\"bincount\"),o=I(t,\"weights\",\"bincount\");E(n.dtype===\"int32\",()=>`Error in bincount: input dtype must be int32, but got ${n.dtype}`),E(e>=0,()=>`size must be non-negative, but got ${e}.`),E(o.size===n.size||o.size===0,()=>`Error in bincount: weights must have the same size as input or0-length, but got input shape: ${n.shape}, weights shape: ${o.shape}.`);let s={x:n,weights:o},i={size:e};return T.runKernel(up,s,i)}var hx=k({bincount_:tq});function eq(r,t){let e=I(r,\"s0\",\"broadcastArgs\",\"int32\"),n=I(t,\"s1\",\"broadcastArgs\",\"int32\");if(e.rank!==1)throw new Error(`broadcastArgs(): first input must be a vector (rank=1). Has rank ${e.rank}`);if(n.rank!==1)throw new Error(`broadcastArgs(): second input must be a vector (rank=1). Has rank ${n.rank}`);let o={s0:e,s1:n};return T.runKernel(cp,o)}var LE=k({broadcastArgs_:eq});function rq(r,t){let e=I(r,\"broadcastTo\",\"x\"),n=e.shape;if(t.some(l=>!(l>0)||l%1!==0))throw new Error(`broadcastTo(): Invalid broadcast shape [${t}].`);if(t.lengthe.rank){let l=e.shape.slice();for(;l.length=0;l--)if(o[l]===t[l])s[l]=1;else if(e.shape[l]!==1)throw new Error(`broadcastTo(): [${n}] cannot be broadcast to [${t}].`);if(s.map((l,c)=>l>1?c:-1).filter(l=>l>=0).length===0)return sn(e);let a={x:e},u={reps:s};return T.runKernel(Zn,a,u)}var $i=k({broadcastTo_:rq});function nq(r){let e={x:I(r,\"x\",\"ceil\",\"float32\")};return T.runKernel(Ho,e)}var gx=k({ceil_:nq});function go(r,t,e){let n={shape:r,value:t,dtype:e};return T.runKernel(Al,{},n)}function oq(r,t,e){let n=I(r,\"x\",\"clipByValue\");if(E(t<=e,()=>`Error in clip: min (${t}) must be less than or equal to max (${e}).`),t===e)return go(n.shape,t,n.dtype);let o={x:n},s={clipValueMin:t,clipValueMax:e};return T.runKernel(ao,o,s)}var Cr=k({clipByValue_:oq});function sq(r){return ne(r,0)}var xx=k({concat1d_:sq});function iq(r,t){return ne(r,t)}var yx=k({concat2d_:iq});function aq(r,t){return ne(r,t)}var bx=k({concat3d_:aq});function lq(r,t){return ne(r,t)}var wx=k({concat4d_:lq});function uq(r,t,e,n,o=\"NHWC\",s=[1,1],i){let a=I(r,\"x\",\"conv2d\",\"float32\"),u=I(t,\"filter\",\"conv2d\",\"float32\"),l=a,c=!1;a.rank===3&&(c=!0,l=D(a,[1,a.shape[0],a.shape[1],a.shape[2]])),E(l.rank===4,()=>`Error in conv2d: input must be rank 4, but got rank ${l.rank}.`),E(u.rank===4,()=>`Error in conv2d: filter must be rank 4, but got rank ${u.rank}.`),Ie(\"conv2d\",n,i);let p=o===\"NHWC\"?l.shape[3]:l.shape[1];E(p===u.shape[2],()=>`Error in conv2d: depth of input (${p}) must match input depth for filter ${u.shape[2]}.`),E(_r(e,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${e} and dilations '${s}'`);let m={x:l,filter:u},f={strides:e,pad:n,dataFormat:o,dilations:s,dimRoundingMode:i},d=T.runKernel(qo,m,f);return c?D(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var Cn=k({conv2d_:uq});function cq(r,t,e,n,o=\"NWC\",s=1,i){let a=I(r,\"x\",\"conv1d\"),u=I(t,\"filter\",\"conv1d\"),l=a,c=!1;a.rank===2&&(c=!0,l=D(a,[1,a.shape[0],a.shape[1]])),E(l.rank===3,()=>`Error in conv1d: input must be rank 3, but got rank ${l.rank}.`),E(u.rank===3,()=>`Error in conv1d: filter must be rank 3, but got rank ${u.rank}.`),Ie(\"conv1d\",n,i),E(l.shape[2]===u.shape[1],()=>`Error in conv1d: depth of input (${l.shape[2]}) must match input depth for filter ${u.shape[1]}.`),E(_r(e,s),()=>`Error in conv1D: Either stride or dilation must be 1. Got stride ${e} and dilation '${s}'`),E(o===\"NWC\",()=>`Error in conv1d: got dataFormat of ${o} but only NWC is currently supported.`);let p=D(u,[1,u.shape[0],u.shape[1],u.shape[2]]),m=D(l,[l.shape[0],1,l.shape[1],l.shape[2]]),g=Cn(m,p,[1,e],n,\"NHWC\",[1,s],i);return c?D(g,[g.shape[2],g.shape[3]]):D(g,[g.shape[0],g.shape[2],g.shape[3]])}var Jp=k({conv1d_:cq});function pq(r,t,e,n,o,s=\"NHWC\",i){E(r.length===t.rank,()=>`Length of inShape (${r.length}) and rank of dy (${t.rank}) must match`);let a=r,u=t,l=!1;t.rank===3&&(l=!0,u=D(t,[1,t.shape[0],t.shape[1],t.shape[2]]),a=[1,r[0],r[1],r[2]]),E(a.length===4,()=>`Error in conv2dDerInput: inShape must be length 4, but got length ${a.length}.`),E(u.rank===4,()=>`Error in conv2dDerInput: dy must be rank 4, but got rank ${u.rank}`),E(e.rank===4,()=>`Error in conv2dDerInput: filter must be rank 4, but got rank ${e.rank}`);let c=s===\"NHWC\"?a[3]:a[1],p=s===\"NHWC\"?u.shape[3]:u.shape[1];E(c===e.shape[2],()=>`Error in conv2dDerInput: depth of input (${c}) must match input depth for filter ${e.shape[2]}.`),E(p===e.shape[3],()=>`Error in conv2dDerInput: depth of output (${p}) must match output depth for filter ${e.shape[3]}.`),Ie(\"conv2dDerInput\",o,i);let m={dy:u,filter:e},f={strides:n,pad:o,dataFormat:s,dimRoundingMode:i,inputShape:a},d=T.runKernel(Ko,m,f);return l?D(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var Qp=k({conv2DBackpropInput_:pq});function mq(r,t,e,n,o,s){let i=I(r,\"x\",\"conv2dTranspose\"),a=I(t,\"filter\",\"conv2dTranspose\");return Qp(e,i,a,n,o,\"NHWC\",s)}var tm=k({conv2dTranspose_:mq});function fq(r,t,e,n,o=\"NDHWC\",s=[1,1,1]){let i=I(r,\"x\",\"conv3d\"),a=I(t,\"filter\",\"conv3d\"),u=i,l=!1;i.rank===4&&(l=!0,u=D(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),E(u.rank===5,()=>`Error in conv3d: input must be rank 5, but got rank ${u.rank}.`),E(a.rank===5,()=>`Error in conv3d: filter must be rank 5, but got rank ${a.rank}.`),E(u.shape[4]===a.shape[3],()=>`Error in conv3d: depth of input (${u.shape[4]}) must match input depth for filter ${a.shape[3]}.`),E(_r(e,s),()=>`Error in conv3D: Either strides or dilations must be 1. Got strides ${e} and dilations '${s}'`),E(o===\"NDHWC\",()=>`Error in conv3d: got dataFormat of ${o} but only NDHWC is currently supported.`);let c={x:u,filter:a},p={strides:e,pad:n,dataFormat:o,dilations:s},m=T.runKernel(El,c,p);return l?D(m,[m.shape[1],m.shape[2],m.shape[3],m.shape[4]]):m}var Cx=k({conv3d_:fq});function dq(r,t,e,n,o){E(r.length===t.rank,()=>`Length of inShape (${r.length}) and rank of dy (${t.rank}) must match`);let s=r,i=t,a=!1;t.rank===4&&(a=!0,i=D(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]]),s=[1,r[0],r[1],r[2],r[3]]);let u=s[4],l=i.shape[4];E(s.length===5,()=>`Error in conv3dDerInput: inShape must be length 5, but got length ${s.length}.`),E(i.rank===5,()=>`Error in conv3dDerInput: dy must be rank 5, but got rank ${i.rank}`),E(e.rank===5,()=>`Error in conv3dDerInput: filter must be rank 5, but got rank ${e.rank}`),E(u===e.shape[3],()=>`Error in conv3dDerInput: depth of input (${u}) must match input depth for filter ${e.shape[3]}.`),E(l===e.shape[4],()=>`Error in conv3dDerInput: depth of output (${l}) must match output depth for filter ${e.shape[4]}.`);let c={dy:i,filter:e},p={pad:o,strides:n,inputShape:s},m=T.runKernel(dp,c,p);return a?D(m,[m.shape[1],m.shape[2],m.shape[3],m.shape[4]]):m}var Ix=k({conv3DBackpropInput_:dq});function hq(r,t,e,n,o){let s=I(r,\"x\",\"conv3dTranspose\"),i=I(t,\"filter\",\"conv3dTranspose\");return Ix(e,s,i,n,o)}var vx=k({conv3dTranspose_:hq});function gq(r){let e={x:I(r,\"x\",\"cos\",\"float32\")};return T.runKernel(jo,e)}var Yl=k({cos_:gq});function xq(r){let e={x:I(r,\"x\",\"cosh\",\"float32\")};return T.runKernel(Xo,e)}var em=k({cosh_:xq});function yq(r,t=0,e=!1,n=!1){let s={x:I(r,\"x\",\"cumprod\")},i={axis:t,exclusive:e,reverse:n};return T.runKernel(pa,s,i)}var ju=k({cumprod_:yq});function bq(r,t=0,e=!1,n=!1){let s={x:I(r,\"x\",\"cumsum\")},i={axis:t,exclusive:e,reverse:n};return T.runKernel(Yo,s,i)}var rm=k({cumsum_:bq});function wq(r,t,e,n=!1){let o=I(r,\"x\",\"denseBincount\"),s=I(t,\"weights\",\"denseBincount\");E(o.dtype===\"int32\",()=>`Error in denseBincount: input dtype must be int32, but got ${o.dtype}`),E(o.rank<=2,()=>`Error in denseBincount: input must be at most rank 2, but got rank ${o.rank}.`),E(e>=0,()=>`size must be non-negative, but got ${e}.`),E(s.size===o.size||s.size===0,()=>`Error in denseBincount: weights must have the same shape as x or 0-length, but got x shape: ${o.shape}, weights shape: ${s.shape}.`);let i={x:o,weights:s},a={size:e,binaryOutput:n};return T.runKernel(hp,i,a)}var ME=k({denseBincount_:wq});function Cq(r,t,e=\"NHWC\"){let n=I(r,\"x\",\"depthToSpace\",\"float32\"),o=e===\"NHWC\"?n.shape[1]:n.shape[2],s=e===\"NHWC\"?n.shape[2]:n.shape[3],i=e===\"NHWC\"?n.shape[3]:n.shape[1];E(t>1,()=>`blockSize should be > 1 for depthToSpace, but was: ${t}`),E(o*t>=0,()=>`Negative dimension size caused by overflow when multiplying\n ${o} and ${t} for depthToSpace with input shape\n ${n.shape}`),E(s*t>=0,()=>`Negative dimension size caused by overflow when multiplying\n ${s} and ${t} for depthToSpace with input shape\n ${n.shape}`),E(i%(t*t)===0,()=>`Dimension size must be evenly divisible by ${t*t} but is ${i} for depthToSpace with input shape ${n.shape}`);let a={x:n},u={blockSize:t,dataFormat:e};return T.runKernel(fa,a,u)}var Sx=k({depthToSpace_:Cq});function Iq(r,t,e,n,o=\"NHWC\",s=[1,1],i){let a=I(r,\"x\",\"depthwiseConv2d\",\"float32\"),u=I(t,\"filter\",\"depthwiseConv2d\",\"float32\"),l=a,c=!1;a.rank===3&&(c=!0,l=D(a,[1,a.shape[0],a.shape[1],a.shape[2]])),E(l.rank===4,()=>`Error in depthwiseConv2d: input must be rank 4, but got rank ${l.rank}.`),E(u.rank===4,()=>`Error in depthwiseConv2d: filter must be rank 4, but got rank ${u.rank}.`);let p=o===\"NHWC\"?l.shape[3]:l.shape[1];E(p===u.shape[2],()=>`Error in depthwiseConv2d: number of input channels (${p}) must match the inChannels dimension in filter ${u.shape[2]}.`),Ie(\"depthwiseConv2d\",n,i);let m={x:l,filter:u},f={strides:e,pad:n,dataFormat:o,dilations:s,dimRoundingMode:i},d=T.runKernel(Zo,m,f);return c?D(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var Di=k({depthwiseConv2d_:Iq});function vq(r){let e={x:I(r,\"x\",\"diag\")};return T.runKernel(yp,e)}var zE=k({diag_:vq});function Sq(r,t,e,n,o=[1,1],s=\"NHWC\"){let i=I(r,\"x\",\"dilation2d\"),a=I(t,\"filter\",\"dilation2d\");E(i.rank===3||i.rank===4,()=>`Error in dilation2d: input must be rank 3 or 4, but got rank ${i.rank}.`),E(a.rank===3,()=>`Error in dilation2d: filter must be rank 3, but got rank ${a.rank}.`),E(s===\"NHWC\",()=>`Error in dilation2d: Only NHWC is currently supported, but got dataFormat of ${s}`);let u=i,l=!1;i.rank===3&&(u=D(i,[1,i.shape[0],i.shape[1],i.shape[2]]),l=!0);let c={x:u,filter:a},p={strides:e,pad:n,dilations:o},m=T.runKernel(_l,c,p);return l?D(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var Nx=k({dilation2d_:Sq});function Nq(r,t){let e=I(r,\"a\",\"equal\",\"string_or_numeric\"),n=I(t,\"b\",\"equal\",\"string_or_numeric\");[e,n]=Wt(e,n),Pt(e.shape,n.shape);let o={a:e,b:n};return T.runKernel(ha,o)}var Ar=k({equal_:Nq});function kq(r,t,e){let n=I(t,\"a\",\"where\"),o=I(e,\"b\",\"where\"),s=I(r,\"condition\",\"where\",\"bool\"),i=Pt(Pt(s.shape,n.shape),o.shape),a=$i(s,i),u=$i(n,i),l=$i(o,i),c={condition:a,t:u,e:l};return T.runKernel(fi,c)}var _e=k({where_:kq});function Tq(r){let e={x:I(r,\"x\",\"zerosLike\")};return T.runKernel(yi,e)}var It=k({zerosLike_:Tq});function Eq(r,t){let e=I(r,\"a\",\"div\"),n=I(t,\"b\",\"div\");[e,n]=Wt(e,n);let o=pt(e,n),s=It(o),i=Ar(n,s);return _e(i,s,o)}var kx=k({divNoNan_:Eq});function _q(r,t){let e=I(r,\"t1\",\"dot\"),n=I(t,\"t2\",\"dot\");E((e.rank===1||e.rank===2)&&(n.rank===1||n.rank===2),()=>`Error in dot: inputs must all be rank 1 or 2, but got ranks ${e.rank} and ${n.rank}.`);let o=e.rank===1?e.size:e.shape[1],s=n.rank===1?n.size:n.shape[0];if(E(o===s,()=>`Error in dot: inner dimensions of inputs must match, but got ${o} and ${s}.`),e.rank===1&&n.rank===1){let i=D(e,[1,-1]),a=D(n,[-1,1]),u=Lt(i,a);return D(u,[])}else if(e.rank===1&&n.rank===2){let i=D(e,[1,-1]),a=D(n,[n.shape[0],n.shape[1]]),u=Lt(i,a);return D(u,[u.size])}else if(e.rank===2&&n.rank===1){let i=D(n,[-1,1]),a=Lt(e,i);return D(a,[a.size])}else{let i=D(n,[n.shape[0],n.shape[1]]);return Lt(e,i)}}var Tx=k({dot_:_q});function Aq(r,...t){let e=t.map((o,s)=>I(o,`tensors${s}`,\"einsum\")),n={equation:r};return T.runKernel(bp,e,n)}var BE=k({einsum_:Aq});function $q(r){let e={x:I(r,\"x\",\"elu\",\"float32\")};return T.runKernel(Qo,e)}var Ri=k({elu_:$q});function Dq(r){let t=I(r,\"x\",\"erf\");E(t.dtype===\"int32\"||t.dtype===\"float32\",()=>\"Input dtype must be `int32` or `float32`.\"),t.dtype===\"int32\"&&(t=J(t,\"float32\"));let e={x:t};return T.runKernel(da,e)}var Ex=k({erf_:Dq});function KS(r,t){for(let e=0;er[s]);return[e,o]}function xo(r,t){let e=t.map(n=>1);return VE(r,e,t)}function Rq(r,t,e){E(KS(t,e),()=>`${r} supports only inner-most axes for now. Got axes ${t} and rank-${e} input.`)}function XS(r,t){if(KS(r,t))return null;let e=[];for(let n=0;ne.push(n)),e}function ih(r){return r.map((t,e)=>[e,t]).sort((t,e)=>t[1]-e[1]).map(t=>t[0])}function Fq(r,t){let e=[];for(let n=t-r;n\"Axis must be <= rank of the tensor\");let n={input:e},o={dim:t};return T.runKernel(ai,n,o)}var gr=k({expandDims_:Uq});function Hq(r){let e={x:I(r,\"x\",\"expm1\")};return T.runKernel(ga,e)}var Ax=k({expm1_:Hq});function qq(r,t){let e=I(r,\"x\",\"tile\",\"string_or_numeric\");E(e.rank===t.length,()=>`Error in transpose: rank of input ${e.rank} must match length of reps ${t}.`);let n={x:e},o={reps:t};return T.runKernel(Zn,n,o)}var $r=k({tile_:qq});function Kq(r,t,e,n=\"float32\"){t==null&&(t=r);let o=wt([r,t],n),s=r<=t?r:t;for(let a=0;a`Error in localResponseNormalization: x must be rank 3 or 4 but got\n rank ${s.rank}.`),E(ea(t),()=>`Error in localResponseNormalization: depthRadius must be an integer but got depthRadius ${t}.`);let i=s,a=!1;s.rank===3&&(a=!0,i=D(s,[1,s.shape[0],s.shape[1],s.shape[2]]));let u={x:i},l={depthRadius:t,bias:e,alpha:n,beta:o},c=T.runKernel($l,u,l);return a?D(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var Fx=k({localResponseNormalization_:oK});function sK(r){let e={x:I(r,\"x\",\"log\",\"float32\")};return T.runKernel(is,e)}var Ir=k({log_:sK});function iK(r){let e={x:I(r,\"x\",\"log1p\")};return T.runKernel(Na,e)}var Jl=k({log1p_:iK});function aK(r){return E(ri(r),()=>\"The f passed in grad(f) must be a function\"),(t,e)=>{let n=I(t,\"x\",\"tf.grad\",\"string_or_numeric\"),o=e!=null?I(e,\"dy\",\"tf.grad\"):null;return T.tidy(()=>{let{value:s,grads:i}=T.gradients(()=>r(n),[n],o);return o!=null&&$e(s.shape,o.shape,\"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)\"),Px(i),i[0]})}}function lK(r){return E(ri(r),()=>\"The f passed in grads(f) must be a function\"),(t,e)=>{E(Array.isArray(t),()=>\"The args passed in grads(f)(args) must be an array of `Tensor`s or `TensorLike`s\");let n=qa(t,\"args\",\"tf.grads\",\"string_or_numeric\"),o=e!=null?I(e,\"dy\",\"tf.grads\"):null;return T.tidy(()=>{let{value:s,grads:i}=T.gradients(()=>r(...n),n,o);return o!=null&&$e(s.shape,o.shape,\"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])\"),Px(i),i})}}function uK(r){return E(ri(r),()=>\"The f passed in valueAndGrad(f) must be a function\"),(t,e)=>{E(t instanceof Ft,()=>\"The x passed in valueAndGrad(f)(x) must be a tensor\"),E(e==null||e instanceof Ft,()=>\"The dy passed in valueAndGrad(f)(x, dy) must be a tensor\");let{grads:n,value:o}=T.gradients(()=>r(t),[t],e);return Px(n),{grad:n[0],value:o}}}function cK(r){return E(ri(r),()=>\"The f passed in valueAndGrads(f) must be a function\"),(t,e)=>{E(Array.isArray(t)&&t.every(o=>o instanceof Ft),()=>\"The args passed in valueAndGrads(f)(args) must be array of tensors\"),E(e==null||e instanceof Ft,()=>\"The dy passed in valueAndGrads(f)(args, dy) must be a tensor\");let n=T.gradients(()=>r(...t),t,e);return e!=null&&$e(n.value.shape,e.shape,\"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])\"),Px(n.grads),n}}function Ox(r,t){E(ri(r),()=>\"The f passed in variableGrads(f) must be a function\"),E(t==null||Array.isArray(t)&&t.every(l=>l instanceof Ha),()=>\"The varList passed in variableGrads(f, varList) must be an array of variables\");let e=t!=null;if(!e){t=[];for(let l in T.registeredVariables)t.push(T.registeredVariables[l])}let n=e?t.filter(l=>!l.trainable):null,o=t.length;t=t.filter(l=>l.trainable),E(t.length>0,()=>`variableGrads() expects at least one of the input variables to be trainable, but none of the ${o} variables is trainable.`);let s=!0,{value:i,grads:a}=T.gradients(r,t,null,s);E(a.some(l=>l!=null),()=>\"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize().\"),E(i.rank===0,()=>`The f passed in variableGrads(f) must return a scalar, but it returned a rank-${i.rank} tensor`);let u={};return t.forEach((l,c)=>{a[c]!=null&&(u[l.name]=a[c])}),n!=null&&n.forEach(l=>u[l.name]=null),{value:i,grads:u}}function ln(r){return T.customGrad(r)}function Px(r){if(r.filter(e=>e==null).length>0)throw new Error(`Cannot compute gradient of y=f(x) with respect to x. Make sure that\n the f you passed encloses all operations that lead from x to y.`)}function pK(r){let e={x:I(r,\"x\",\"softplus\")};return T.runKernel(za,e)}var Ms=k({softplus_:pK});function mK(r){let t=I(r,\"x\",\"logSigmoid\");return ln(n=>({value:Ut(Ms(Ut(n))),gradFunc:i=>R(i,Xr(Ut(n)))}))(t)}var Lx=k({logSigmoid_:mK});function fK(r,t){let e=I(r,\"a\",\"sub\"),n=I(t,\"b\",\"sub\");[e,n]=Wt(e,n);let o={a:e,b:n};return T.runKernel(Rs,o)}var ct=k({sub_:fK});function dK(r,t=-1){let e=I(r,\"logits\",\"logSoftmax\");if(t===-1&&(t=e.rank-1),t!==e.rank-1)throw Error(`Log Softmax along a non-last dimension is not yet supported. Logits was rank ${e.rank} and axis was ${t}`);return ln((o,s)=>{let a=Br(o,t,!0),u=ct(o,a),l=ct(J(u,\"float32\"),Ir(ft(er(u),t,!0)));return s([l]),{value:l,gradFunc:(p,m)=>{let[f]=m,d=!0,h=er(f);return ct(p,R(ft(p,t,d),h))}}})(e)}var om=k({logSoftmax_:dK});function hK(r,t=null,e=!1){let n=I(r,\"x\",\"logSumExp\"),o=ar(t,n.shape),s=Br(n,o,!0),i=ct(n,s),a=er(i),u=ft(a,o),l=Ir(u),c=X(D(s,l.shape),l);if(e){let p=xo(c.shape,o);return D(c,p)}return c}var sm=k({logSumExp_:hK});function gK(r,t){let e=I(r,\"a\",\"logicalAnd\",\"bool\"),n=I(t,\"b\",\"logicalAnd\",\"bool\");Pt(e.shape,n.shape);let o={a:e,b:n};return T.runKernel(ka,o)}var Dr=k({logicalAnd_:gK});function xK(r){let e={x:I(r,\"x\",\"logicalNot\",\"bool\")};return T.runKernel(Ta,e)}var Ql=k({logicalNot_:xK});function yK(r,t){let e=I(r,\"a\",\"logicalOr\",\"bool\"),n=I(t,\"b\",\"logicalOr\",\"bool\");Pt(e.shape,n.shape);let o={a:e,b:n};return T.runKernel(Ea,o)}var im=k({logicalOr_:yK});function bK(r,t){let e=I(r,\"a\",\"logicalXor\",\"bool\"),n=I(t,\"b\",\"logicalXor\",\"bool\");return Pt(e.shape,n.shape),Dr(im(r,t),Ql(Dr(r,t)))}var Mx=k({logicalXor_:bK});var zx=2147483648;function wK(r,t,e=\"left\"){let n=I(r,\"sortedSequence\",\"searchSorted\"),o=I(t,\"values\",\"searchSorted\"),s=n.shape[n.shape.length-1],i=o.shape[o.shape.length-1],a=D(n,[-1,s]),u=D(o,[-1,i]);if(a.rank<2)throw new Error(\"Sorted input argument must be at least 2-dimensional\");if(a.shape[0]!==u.shape[0])throw new Error(\"Leading dimension of 'sortedSequence' and 'values' must match.\");if(Zt(u.shape)>=zx)throw new Error(`values tensor size must less than ${zx}`);if(a.shape[1]>=zx)throw new Error(`trailing dim_size must less than ${zx} for int32 output type, was ${a.shape[1]}`);let l={sortedSequence:a,values:u},c={side:e};return T.runKernel(Op,l,c)}var ah=k({searchSorted_:wK});function UE(r,t){return ah(r,t,\"left\")}function CK(r,t,e,n,o){let s=I(r,\"x\",\"maxPool\"),i=1,a=s,u=!1;s.rank===3&&(u=!0,a=D(s,[1,s.shape[0],s.shape[1],s.shape[2]])),E(a.rank===4,()=>`Error in maxPool: input must be rank 4 but got rank ${a.rank}.`),E(_r(e,i),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${e} and dilations '${i}'`),Ie(\"maxPool\",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o},p=T.runKernel(us,l,c);return u?D(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var tu=k({maxPool_:CK});function IK(r,t=[1,1,1],e,n,o,s=\"NDHWC\"){let i=I(r,\"x\",\"maxPool3d\"),a=i,u=!1;i.rank===4&&(u=!0,a=D(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),E(a.rank===5,()=>`Error in maxPool3d: x must be rank 5 but got rank ${a.rank}.`),E(s===\"NDHWC\",()=>`Error in maxPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),Ie(\"maxPool3d\",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o,dataFormat:s},p=T.runKernel(Dl,l,c);return u?D(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}var Bx=k({maxPool3d_:IK});function vK(r,t,e,n,o=!1){let i={x:I(r,\"x\",\"maxPoolWithArgmax\")},a={filterSize:t,strides:e,pad:n,includeBatchInIndex:o},u=T.runKernel(Ep,i,a);return{result:u[0],indexes:u[1]}}var HE=k({maxPoolWithArgmax_:vK});function SK(r,t){let e=I(r,\"a\",\"maximum\"),n=I(t,\"b\",\"maximum\");[e,n]=Wt(e,n),e.dtype===\"bool\"&&(e=J(e,\"int32\"),n=J(n,\"int32\")),Pt(e.shape,n.shape);let o={a:e,b:n};return T.runKernel(ls,o)}var In=k({maximum_:SK});function NK(r,t=null,e=!1){let o={x:I(r,\"x\",\"mean\")},s={axis:t,keepDims:e};return T.runKernel(cs,o,s)}var Se=k({mean_:NK});function Ne(r,t=\"float32\"){if(t===\"complex64\"){let n=Ne(r,\"float32\"),o=Ne(r,\"float32\");return bn(n,o)}let e=ip(Zt(r),t);return T.makeTensor(e,r,t)}function lr(r,t=\"float32\"){if(t===\"complex64\"){let n=lr(r,\"float32\"),o=Ne(r,\"float32\");return bn(n,o)}let e=zd(Zt(r),t);return T.makeTensor(e,r,t)}function qE(r,t,{indexing:e=\"xy\"}={}){if(e!==\"xy\"&&e!==\"ij\")throw new TypeError(`${e} is not a valid third argument to meshgrid`);if(r===void 0)return[];let n=I(r,\"x\",\"meshgrid\",r instanceof Ft?r.dtype:\"float32\");if(t===void 0)return[n];let o=I(t,\"y\",\"meshgrid\",t instanceof Ft?t.dtype:\"float32\"),s=Zt(n.shape),i=Zt(o.shape);return e===\"xy\"?(n=D(n,[1,-1]),o=D(o,[-1,1]),[Lt(lr([i,1],n.dtype),n),Lt(o,lr([1,s],o.dtype))]):(n=D(n,[-1,1]),o=D(o,[1,-1]),[Lt(n,lr([1,i],n.dtype)),Lt(lr([s,1],o.dtype),o)])}function kK(r,t){let e=I(r,\"a\",\"minimum\"),n=I(t,\"b\",\"minimum\");[e,n]=Wt(e,n),e.dtype===\"bool\"&&(e=J(e,\"int32\"),n=J(n,\"int32\")),Pt(e.shape,n.shape);let o={a:e,b:n};return T.runKernel(ms,o)}var Pi=k({minimum_:kK});function TK(r,t,e){E(e===\"reflect\"||e===\"symmetric\",()=>`Invalid mode. Mode must be either reflect or symmetric. Got ${e}.`);let n=I(r,\"x\",\"mirrorPad\");if(n.rank===0)throw new Error(\"mirrorPad(scalar) is not defined. Pass non-scalar to mirrorPad\");E(t.length===n.rank,()=>`Padding doesn't match input. Must be ${n.rank}. Got ${t.length}.`);let o=e===\"reflect\"?1:0;for(let a=0;a\"Invalid number of paddings. Must be length of 2 each.\"),E(t[a][0]>=0&&t[a][0]<=n.shape[a]-o&&t[a][1]>=0&&t[a][1]<=n.shape[a]-o,()=>`Padding in dimension ${a} cannot be greater than or equal to ${n.shape[a]-o} or less than 0 for input of shape ${n.shape}`);let s={paddings:t,mode:e},i={x:n};return T.runKernel(fs,i,s)}var Vx=k({mirrorPad_:TK});function EK(r,t){let e=I(r,\"a\",\"mod\"),n=I(t,\"b\",\"mod\");[e,n]=Wt(e,n);let o={a:e,b:n};return T.runKernel(_a,o)}var Gx=k({mod_:EK});function _K(r,t=null,e=!1){r=I(r,\"x\",\"moments\");let n=ar(t,r.shape),o=Se(r,n,e),s=o.shape;e||(s=xo(o.shape,n));let i=Mt(ct(J(r,\"float32\"),D(o,s))),a=Se(i,n,e);return{mean:o,variance:a}}var Zu=k({moments_:_K});function AK(r,t,e,n){let o=I(t,\"data\",\"multiRNNCell\"),s=qa(e,\"c\",\"multiRNNCell\"),i=qa(n,\"h\",\"multiRNNCell\"),a=o,u=[];for(let p=0;p2)throw new Error(`Rank of probabilities must be 1 or 2, but is ${i}`);e=e||Math.random();let u={logits:i===1?D(o,[1,-1]):o},l={numSamples:t,seed:e,normalized:n},c=T.runKernel(_p,u,l);return i===1?D(c,[c.size]):c}var jE=k({multinomial_:$K});function DK(r,t){let e=I(r,\"a\",\"notEqual\",\"string_or_numeric\"),n=I(t,\"b\",\"notEqual\",\"string_or_numeric\");[e,n]=Wt(e,n),Pt(e.shape,n.shape);let o={a:e,b:n};return T.runKernel(Aa,o)}var zs=k({notEqual_:DK});function RK(r){let e={x:I(r,\"x\",\"onesLike\")};return T.runKernel(ci,e)}var xr=k({onesLike_:RK});function FK(r,t){let e=I(r,\"v1\",\"outerProduct\"),n=I(t,\"v2\",\"outerProduct\");E(e.rank===1&&n.rank===1,()=>`Error in outerProduct: inputs must be rank 1, but got ranks ${e.rank} and ${n.rank}.`);let o=D(e,[-1,1]),s=D(n,[1,-1]);return Lt(o,s)}var XE=k({outerProduct_:FK});function OK(r,t,e=0){let n=I(r,\"x\",\"pad\");if(n.rank===0)throw new Error(\"pad(scalar) is not defined. Pass non-scalar to pad\");let o={paddings:t,constantValue:e},s={x:n};return T.runKernel(gs,s,o)}var un=k({pad_:OK});function PK(r,t,e=0){return E(t.length===2,()=>\"Invalid number of paddings. Must be length of 2.\"),un(r,[t],e)}var YE=k({pad1d_:PK});function LK(r,t,e=0){return E(t.length===2&&t[0].length===2&&t[1].length===2,()=>\"Invalid number of paddings. Must be length of 2 each.\"),un(r,t,e)}var ZE=k({pad2d_:LK});function MK(r,t,e=0){return E(t.length===3&&t[0].length===2&&t[1].length===2&&t[2].length===2,()=>\"Invalid number of paddings. Must be length of 2 each.\"),un(r,t,e)}var JE=k({pad3d_:MK});function zK(r,t,e=0){return E(t.length===4&&t[0].length===2&&t[1].length===2&&t[2].length===2&&t[3].length===2,()=>\"Invalid number of paddings. Must be length of 2 each.\"),un(r,t,e)}var QE=k({pad4d_:zK});function BK(r,t,e){let n=I(r,\"x\",\"spaceToBatchND\");E(n.rank>=1+t.length,()=>`input rank ${n.rank} should be > than [blockShape] ${t.length}`),E(e.length===t.length,()=>`paddings.shape[0] ${e.length} must be equal to [blockShape] ${t.length}`),E(n.shape.reduce((i,a,u)=>u>0&&u<=t.length?i&&(a+e[u-1][0]+e[u-1][1])%t[u-1]===0:i,!0),()=>`input spatial dimensions ${n.shape.slice(1)} with paddings ${e.toString()} must be divisible by blockShapes ${t.toString()}`);let o={x:n},s={blockShape:t,paddings:e};return T.runKernel(hi,o,s)}var eu=k({spaceToBatchND_:BK});function VK(r,t,e,n,o,s,i){o==null&&(o=[1,1]),s==null&&(s=1),n===0&&(n=\"valid\");let a=I(r,\"x\",\"maxPool\"),u=a,l=!1;a.rank===3&&(l=!0,u=D(a,[1,a.shape[0],a.shape[1],a.shape[2]])),E(_r(s,o),()=>`Error in pool: Either strides or dilations must be 1. Got strides ${s} and dilations '${o}'`);let c=HS(u.shape,t,s,o,n),p=[c.dilationHeight,c.dilationWidth],m;n===\"same\"?m=WK([c.filterHeight,c.filterWidth],p):m=[[0,0],[0,0]];let f=p[0]===1&&p[1]===1,[d,h]=GK([c.inHeight,c.inWidth],p,m),g=f?n:\"valid\",x=f?u:eu(u,p,d),w=(e===\"avg\"?()=>jl(x,t,s,g,i):()=>tu(x,t,s,g,i))(),C=f?w:Xl(w,p,h);return l?D(C,[C.shape[1],C.shape[2],C.shape[3]]):C}function GK(r,t,e){let n=e.map(c=>c[0]),o=e.map(c=>c[1]),s=r.concat(n,o),i=t.map((c,p)=>(c-s[p]%c)%c),a=o.map((c,p)=>c+i[p]),u=t.map((c,p)=>[n[p],a[p]]),l=t.map((c,p)=>[0,i[p]]);return[u,l]}function WK(r,t){let n=r.map((i,a)=>i+(i-1)*(t[a]-1)).map(i=>i-1),o=n.map(i=>Math.floor(i/2)),s=n.map((i,a)=>i-o[a]);return n.map((i,a)=>[o[a],s[a]])}var Wx=k({pool_:VK});function UK(r,t){let e=I(r,\"x\",\"prelu\"),n=I(t,\"alpha\",\"prelu\"),o={x:e,alpha:n};return T.runKernel(ys,o)}var ru=k({prelu_:UK});function HK(r,t=null,e=!1){let n=I(r,\"x\",\"prod\");n.dtype===\"bool\"&&(n=J(n,\"int32\"));let o={x:n},s={axis:t,keepDims:e};return T.runKernel(bs,o,s)}var Ux=k({prod_:HK});function qK(r,t,e,n){let o=r.map((c,p)=>I(c,`tensors${p}`,\"raggedGather\",\"int32\")),s=I(t,\"paramsDenseValues\",\"raggedGather\"),i=I(e,\"indices\",\"raggedGather\",\"int32\"),a={paramsNestedSplits:o,paramsDenseValues:s,indices:i},u={outputRaggedRank:n},l=T.runKernel(Ap,a,u);return{outputNestedSplits:l.slice(0,l.length-1),outputDenseValues:l[l.length-1]}}var t_=k({raggedGather_:qK});function KK(r,t,e,n,o){let s=I(r,\"shape\",\"raggedTensorToTensor\",\"int32\"),i=I(t,\"values\",\"raggedTensorToTensor\"),a=I(e,\"defaultValue\",\"raggedTensorToTensor\",i.dtype),u=n.map((p,m)=>I(p,`tensors${m}`,\"raggedTensorToTensor\",\"int32\")),l={shape:s,values:i,defaultValue:a,rowPartitionTensors:u},c={rowPartitionTypes:o};return T.runKernel($p,l,c)}var e_=k({raggedTensorToTensor_:KK});function jK(r,t,e){let n=Zt(r),o=null;if(e==null||e===\"float32\")o=new Float32Array(n);else if(e===\"int32\")o=new Int32Array(n);else if(e===\"bool\")o=new Uint8Array(n);else throw new Error(`Unknown data type ${e}`);for(let s=0;s=1||i===0);let a=Math.sqrt(-2*Math.log(i)/i);t=this.mean+this.stdDev*o*a,e=this.mean+this.stdDev*s*a,(!this.truncated||this.isValidTruncated(t))&&(n=!0)}return(!this.truncated||this.isValidTruncated(e))&&(this.nextVal=this.convertValue(e)),this.convertValue(t)}convertValue(t){return this.dtype==null||this.dtype===\"float32\"?t:Math.round(t)}isValidTruncated(t){return t<=this.upper&&t>=this.lower}},qx=class{constructor(t,e,n,o){this.alpha=t,this.beta=1/e,this.dtype=n;let s=o||Math.random();this.randu=jx.alea(s.toString()),this.randn=new Qu(0,1,n,!1,this.randu()),t<1?this.d=t+2/3:this.d=t-1/3,this.c=1/Math.sqrt(9*this.d)}nextValue(){let t,e,n,o,s,i;for(;;){do o=this.randn.nextValue(),i=1+this.c*o;while(i<=0);if(i*=i*i,t=o*o,e=1-.331*t*t,n=.5*t+this.d*(1-i+Math.log(i)),s=this.randu(),sthis.dtype==null||this.dtype===\"float32\",this.min=t,this.range=e-t,this.dtype=n,o==null&&(o=Math.random()),typeof o==\"number\"&&(o=o.toString()),!this.canReturnFloat()&&this.range<=1)throw new Error(`The difference between ${t} - ${e} <= 1 and dtype is not float`);this.random=jx.alea(o)}convertValue(t){return this.canReturnFloat()?t:Math.round(t)}nextValue(){return this.convertValue(this.min+this.range*this.random())}};function ej(r,t,e=1,n=\"float32\",o){if(e==null&&(e=1),n==null&&(n=\"float32\"),n!==\"float32\"&&n!==\"int32\")throw new Error(`Unsupported data type ${n}`);let s=new qx(t,e,n,o),i=wt(r,n);for(let a=0;a`Error in reverse1D: x must be rank 1 but got rank ${t.rank}.`),ur(t,0)}var C_=k({reverse1d_:uj});function cj(r,t){let e=I(r,\"x\",\"reverse\");return E(e.rank===2,()=>`Error in reverse2D: x must be rank 2 but got rank ${e.rank}.`),ur(e,t)}var I_=k({reverse2d_:cj});function pj(r,t){let e=I(r,\"x\",\"reverse\");return E(e.rank===3,()=>`Error in reverse3D: x must be rank 3 but got rank ${e.rank}.`),ur(e,t)}var v_=k({reverse3d_:pj});function mj(r,t){let e=I(r,\"x\",\"reverse\");return E(e.rank===4,()=>`Error in reverse4D: x must be rank 4 but got rank ${e.rank}.`),ur(e,t)}var S_=k({reverse4d_:mj});function fj(r){let e={x:I(r,\"x\",\"round\")};return T.runKernel(Ns,e)}var lm=k({round_:fj});function dj(r){let e={x:I(r,\"x\",\"rsqrt\",\"float32\")};return T.runKernel(ks,e)}var um=k({rsqrt_:dj});function hj(r){let e={x:I(r,\"x\",\"selu\")};return T.runKernel(Pa,e)}var cm=k({selu_:hj});function gj(r,t,e,n,o,s=[1,1],i=\"NHWC\"){let a=I(r,\"x\",\"separableConv2d\"),u=I(t,\"depthwiseFilter\",\"separableConv2d\"),l=I(e,\"pointwiseFilter\",\"separableConv2d\"),c=a,p=!1;if(a.rank===3&&(p=!0,c=D(a,[1,a.shape[0],a.shape[1],a.shape[2]])),i===\"NCHW\")throw new Error(\"separableConv2d currently does not support dataFormat NCHW; only NHWC is supported\");E(c.rank===4,()=>`Error in separableConv2d: input must be rank 4, but got rank ${c.rank}.`),E(u.rank===4,()=>`Error in separableConv2d: depthwise filter must be rank 4, but got rank ${u.rank}.`),E(l.rank===4,()=>`Error in separableConv2d: pointwise filter must be rank 4, but got rank ${u.rank}.`),E(l.shape[0]===1,()=>`Error in separableConv2d: the first dimension of pointwise filter must be 1, but got ${l.shape[0]}.`),E(l.shape[1]===1,()=>`Error in separableConv2d: the second dimension of pointwise filter must be 1, but got ${l.shape[1]}.`);let m=u.shape[2],f=u.shape[3];E(l.shape[2]===m*f,()=>`Error in separableConv2d: the third dimension of pointwise filter must be ${m*f}, but got ${l.shape[2]}.`);let d=Di(c,u,n,o,i,s),g=Cn(d,l,1,\"valid\",i);return p?D(g,[g.shape[1],g.shape[2],g.shape[3]]):g}var pm=k({separableConv2d_:gj});async function xj(r,t){let e=I(r,\"x\",\"setdiff1d\"),n=I(t,\"y\",\"setdiff1d\");E(e.dtype===n.dtype,()=>`x and y should have the same dtype, but got x (${e.dtype}) and y (${n.dtype}).`),E(e.rank===1,()=>`x should be 1D tensor, but got x (${e.shape}).`),E(n.rank===1,()=>`y should be 1D tensor, but got y (${n.shape}).`);let o=await e.data(),s=await n.data(),i=new Set(s),a=0;for(let c=0;c`slice1d expects a rank-1 tensor, but got a rank-${n.rank} tensor`),Dt(n,[t],[e])}var dm=k({slice1d_:Cj});function Ij(r,t,e){let n=I(r,\"x\",\"slice2d\");return E(n.rank===2,()=>`slice2d expects a rank-2 tensor, but got a rank-${n.rank} tensor`),Dt(n,t,e)}var uh=k({slice2d_:Ij});function vj(r,t,e){let n=I(r,\"x\",\"slice3d\");return E(n.rank===3,()=>`slice3d expects a rank-3 tensor, but got a rank-${n.rank} tensor`),Dt(n,t,e)}var hm=k({slice3d_:vj});function Sj(r,t,e){let n=I(r,\"x\",\"slice4d\");return E(n.rank===4,()=>`slice4d expects a rank-4 tensor, but got a rank-${n.rank} tensor`),Dt(n,t,e)}var ec=k({slice4d_:Sj});function Nj(r,t=-1){let e=I(r,\"logits\",\"softmax\",\"float32\");if(t===-1&&(t=e.rank-1),t!==e.rank-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${e.rank} and dim was ${t}`);let n={logits:e},o={dim:t};return T.runKernel($s,n,o)}var ou=k({softmax_:Nj});function kj(r){E(r.dtype===\"complex64\",()=>`The dtype for tf.spectral.fft() must be complex64 but got ${r.dtype}.`);let t={input:r};return T.runKernel(Cp,t)}var su=k({fft_:kj});function Tj(r){E(r.dtype===\"complex64\",()=>`The dtype for tf.spectral.ifft() must be complex64 but got ${r.dtype}.`);let t={input:r};return T.runKernel(Ip,t)}var Za=k({ifft_:Tj});function Ej(r){let t=r.shape[r.shape.length-1],e=r.size/t,n;if(t<=2){let o=D(r,[e,t]);n=Za(o)}else{let o=[e,2*(t-1)],s=D(Xa(r),[e,t]),i=D(Kl(r),[e,t]),a=ur(Dt(s,[0,1],[e,t-2]),1),u=R(ur(Dt(i,[0,1],[e,t-2]),1),mt(-1)),l=ne([s,a],1),c=ne([i,u],1),p=D(bn(l,c),[o[0],o[1]]);n=Za(p)}if(n=Xa(n),r.rank===3&&r.shape[0]!==0){let o=n,s=r.shape[0];n=D(n,[s,n.shape[0]/s,n.shape[1]]),o.dispose()}return n}var gm=k({irfft_:Ej});function _j(r,t,e=0){let o={x:I(r,\"x\",\"split\")},s={numOrSizeSplits:t,axis:e};return T.runKernel(gi,o,s)}var cr=k({split_:_j});function Aj(r,t){E(r.dtype===\"float32\",()=>`The dtype for rfft() must be real value but got ${r.dtype}`);let e=r.shape[r.shape.length-1],n=r.size/e,o;if(t!=null&&t0),h=r.shape.map(g=>g);h[r.shape.length-1]=t,o=Dt(r,d,h),e=t}else if(t!=null&&t>e){let d=r.shape.map(h=>h);d[r.shape.length-1]=t-e,o=ne([r,Ne(d)],r.shape.length-1),e=t}else o=r;let s=It(o),i=D(bn(o,s),[n,e]),a=su(i),u=Math.floor(e/2)+1,l=Xa(a),c=Kl(a),p=cr(l,[u,e-u],l.shape.length-1),m=cr(c,[u,e-u],c.shape.length-1),f=o.shape.slice();return f[o.shape.length-1]=u,D(bn(p[0],m[0]),f)}var iu=k({rfft_:Aj});function $j(r,t){let e=I(r,\"a\",\"squaredDifference\"),n=I(t,\"b\",\"squaredDifference\");[e,n]=Wt(e,n),Pt(e.shape,n.shape);let o={a:e,b:n},s={};return T.runKernel(Ds,o,s)}var xm=k({squaredDifference_:$j});function Dj(r,t){let e=I(r,\"x\",\"squeeze\",\"string_or_numeric\");return D(e,Xv(e.shape,t).newShape)}var Pn=k({squeeze_:Dj});function Rj(r,t=0){let e=qa(r,\"tensors\",\"stack\",\"string_or_numeric\");E(e.length>=1,()=>\"Pass at least one tensor to tf.stack\"),e.length>0&&E(t<=e[0].rank,()=>\"Axis must be <= rank of the tensor\");let n=e,o={axis:t};return T.runKernel(pi,n,o)}var rr=k({stack_:Rj});function Fj(r,t=0){let n={x:I(r,\"x\",\"step\")},o={alpha:t};return T.runKernel(uo,n,o)}var yo=k({step_:Fj});function Oj(r,t,e,n,o=0,s=0,i=0,a=0,u=0){let c={x:I(r,\"x\",\"stridedSlice\",\"string_or_numeric\")},p={begin:t,end:e,strides:n,beginMask:o,endMask:s,ellipsisMask:i,newAxisMask:a,shrinkAxisMask:u};return T.runKernel(Va,c,p)}var Zx=k({stridedSlice_:Oj});function Pj(r){let e={x:I(r,\"x\",\"tan\",\"float32\")};return T.runKernel(Fs,e)}var Jx=k({tan_:Pj});function Le(r,t){Xn(r);let e=Mr(r,t);if(e.length!==1)throw new Error(\"tensor1d() requires values to be a flat/TypedArray\");return on(r,null,e,t)}function Bs(r,t,e){if(Xn(r),t!=null&&t.length!==2)throw new Error(\"tensor2d() requires shape to have two numbers\");let n=Mr(r,e);if(n.length!==2&&n.length!==1)throw new Error(\"tensor2d() requires values to be number[][] or flat/TypedArray\");if(n.length===1&&t==null)throw new Error(\"tensor2d() requires shape to be provided when `values` are a flat/TypedArray\");return on(r,t,n,e)}function k_(r,t,e){if(Xn(r),t!=null&&t.length!==4)throw new Error(\"tensor4d() requires shape to have four numbers\");let n=Mr(r,e);if(n.length!==4&&n.length!==1)throw new Error(\"tensor4d() requires values to be number[][][][] or flat/TypedArray\");if(n.length===1&&t==null)throw new Error(\"tensor4d() requires shape to be provided when `values` are a flat array\");return on(r,t,n,e)}function T_(r,t,e){if(Xn(r),t!=null&&t.length!==5)throw new Error(\"tensor5d() requires shape to have five numbers\");let n=Mr(r,e);if(n.length!==5&&n.length!==1)throw new Error(\"tensor5d() requires values to be number[][][][][] or flat/TypedArray\");if(n.length===1&&t==null)throw new Error(\"tensor5d() requires shape to be provided when `values` are a flat array\");return on(r,t,n,e)}function E_(r,t,e){if(Xn(r),t!=null&&t.length!==6)throw new Error(\"tensor6d() requires shape to have six numbers\");let n=Mr(r,e);if(n.length!==6&&n.length!==1)throw new Error(\"tensor6d() requires values to be number[][][][][][] or flat/TypedArray\");if(n.length===1&&t==null)throw new Error(\"tensor6d() requires shape to be provided when `values` are a flat array\");return t=t||n,on(r,t,n,e)}function Lj(r,t=1,e=!0){let n=I(r,\"x\",\"topk\");if(n.rank===0)throw new Error(\"topk() expects the input to be of rank 1 or higher\");let o=n.shape[n.shape.length-1];if(t<0)throw new Error(`'k' passed to topk() must be >= 0 but got ${t}`);if(t>o)throw new Error(`'k' passed to topk() must be <= the last dimension (${o}) but got ${t}`);let s={x:n},i={k:t,sorted:e},[a,u]=T.runKernel(Ga,s,i);return{values:a,indices:u}}var Qx=k({topk_:Lj});function Mj(r,t=0,e=1,n,o){if(n!=null&&n===\"bool\")throw new Error(\"Unsupported data type $ { dtype }\");let s=new Qu(t,e,n,!0,o),i=wt(r,n);for(let a=0;a0,()=>\"The input tensor must be at least 1D\");let n={x:e},o={axis:t},[s,i]=T.runKernel(Lp,n,o);return{values:s,indices:i}}var ty=k({unique_:zj});function Bj(r,t,e){let n=I(r,\"x\",\"unsortedSegmentSum\"),o=I(t,\"segmentIds\",\"unsortedSegmentSum\",\"int32\");E(ea(e),()=>\"numSegments must be of dtype int\");let s={x:n,segmentIds:o},i={numSegments:e};return T.runKernel(Vl,s,i)}var bm=k({unsortedSegmentSum_:Bj});function Vj(r,t=0){let e=I(r,\"x\",\"unstack\",\"string_or_numeric\");E(t>=-e.shape.length&&t`Axis = ${t} is not in [-${e.shape.length}, ${e.shape.length})`);let n={value:e},o={axis:t};return T.runKernel(xi,n,o)}var vr=k({unstack_:Vj});function __(r,t){return ah(r,t,\"right\")}function ey(r,t=!0,e,n){return T.makeVariable(r,t,e,n)}function ry(r,t){let e=[];for(let s=0;s0,()=>\"mask cannot be scalar\"),$e(a.slice(s,s+i),o.shape,\"mask's shape must match the first K dimensions of tensor's shape,\");let u=1;for(let h=s;h\"Shape mismatch in v and x\");let u=mt(1),l=ct(u,a),c=R(ct(i,s),l);if(o){E(n!=null,()=>\"When using zeroDebias: true, step is required.\");let p=I(n,\"step\",\"movingAverage\");c=pt(c,ct(u,an(a,p)))}return X(s,c)}var qj=k({movingAverage_:Hj});function Kj(r,t,e){let n=I(r,\"indices\",\"scatterND\",\"int32\"),o=I(t,\"updates\",\"scatterND\");tx(o,n,e);let s={indices:n,updates:o},i={shape:e};return T.runKernel(Oa,s,i)}var jj=k({scatterND_:Kj});function A_(r,t,e,n){if(r.dtype!==\"int32\")throw new Error(`tf.sparseToDense() expects the indices to be int32 type, but the dtype was ${r.dtype}.`);if(r.rank>2)throw new Error(`sparseIndices should be a scalar, vector, or matrix, but got shape ${r.shape}.`);let o=r.rank>0?r.shape[0]:1,s=r.rank>1?r.shape[1]:1;if(e.length!==s)throw new Error(`outputShape has incorrect number of elements:, ${e.length}, should be: ${s}.`);let i=t.size;if(!(t.rank===0||t.rank===1&&i===o))throw new Error(`sparseValues has incorrect shape ${t.shape}, should be [] or [${o}]`);if(t.dtype!==n.dtype)throw new Error(\"sparseValues.dtype must match defaultValues.dtype\")}function Yj(r,t,e,n=0){let o=I(r,\"sparseIndices\",\"sparseToDense\",\"int32\"),s=I(t,\"sparseValues\",\"sparseToDense\",\"string_or_numeric\"),i=I(n,\"defaultValue\",\"sparseToDense\",s.dtype);A_(o,s,e,i);let a={sparseIndices:o,sparseValues:s,defaultValue:i},u={outputShape:e};return T.runKernel(Pp,a,u)}var Zj=k({sparseToDense_:Yj});function Jj(r,t){let e=I(t,\"indices\",\"gatherND\",\"int32\"),o={params:I(r,\"x\",\"gatherND\",\"string_or_numeric\"),indices:e};return T.runKernel(ya,o)}var Qj=k({gatherND_:Jj});function $_(r,t){if(t==null)return r.shape.slice();if(An(r.shape,t))return t;if(r.shape.length===t.length){let e=[];for(let n=0;n`x has to be a floating point tensor since it's going to be scaled, but got a ${o.dtype} tensor instead.`),E(t>=0&&t<1,()=>`rate must be a float in the range [0, 1), but got ${t}.`),t===0)return r instanceof Ft?o.clone():o;let s=$_(o,e),i=1-t,a=pt(Fi(X(Li(s,0,1,\"float32\",n),i)),i);return R(o,a)}var n0=k({dropout_:t6});function o0(r){return Math.floor(Math.pow(2,Math.ceil(Math.log(r)/Math.log(2))))}function ch(r,t,e){let n=1-r%2,o=new Float32Array(r);for(let s=0;s1,()=>`inTopK() expects the predictions to be of rank 2 or higher, but got ${n.rank}`),E(n.rank-1===o.rank,()=>`predictions rank should be 1 larger than targets rank, but got predictions rank ${n.rank} and targets rank ${o.rank}`),$e(n.shape.slice(0,n.shape.length-1),o.shape,\"predictions's shape should be align with the targets' shape, except the last dimension.\");let s=n.shape[n.shape.length-1];E(e>0&&e<=s,()=>`'k' passed to inTopK() must be > 0 && <= the predictions last dimension (${s}), but got ${e}`);let i=await n.data(),a=await o.data(),[u,l]=[i.length/s,s],c=Yv(\"bool\",u);for(let p=0;pg.value-h.value),c[p]=0;for(let h=0;hD_,depthwiseConv2d:()=>R_,matMul:()=>F_});function n6(r,t,e,n,o,s=\"NHWC\",i){let a=r;r.rank===3&&(a=D(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let u=t;u.rank===3&&(u=D(t,[1,t.shape[0],t.shape[1],t.shape[2]])),E(a.rank===4,()=>`Error in conv2dDerFilter: input must be rank 4, but got shape ${a.shape}.`),E(u.rank===4,()=>`Error in conv2dDerFilter: dy must be rank 4, but got shape ${u.shape}.`),E(e.length===4,()=>`Error in conv2dDerFilter: filterShape must be length 4, but got ${e}.`);let l=s===\"NHWC\"?a.shape[3]:a.shape[1],c=s===\"NHWC\"?u.shape[3]:u.shape[1];E(l===e[2],()=>`Error in conv2dDerFilter: depth of input ${l}) must match input depth in filter (${e[2]}.`),E(c===e[3],()=>`Error in conv2dDerFilter: depth of dy (${c}) must match output depth for filter (${e[3]}).`),Ie(\"conv2dDerFilter\",o,i);let p={x:a,dy:u},m={strides:n,pad:o,dataFormat:s,dimRoundingMode:i,filterShape:e};return T.runKernel(mp,p,m)}var wm=k({conv2DBackpropFilter_:n6});function rc(r,t,e){if(e==null||e===\"linear\")return r;if(e===\"relu\")return R(r,yo(t));throw new Error(`Cannot compute gradient for fused activation ${e}.`)}function nc(r,t){let e=t,n=ge(r.shape,t.shape);return n.length>0&&(e=ft(e,n)),D(e,r.shape)}function oc(r,t,e,n){if(t===\"linear\")return r;if(t===\"relu\")return Rr(r);if(t===\"elu\")return Ri(r);if(t===\"relu6\")return am(r);if(t===\"prelu\")return ru(r,e);if(t===\"leakyrelu\")return Zl(r,n);if(t===\"sigmoid\")return Xr(r);throw new Error(`Unknown fused activation ${t}.`)}var sc=(r,t)=>!(r>0)||t===\"linear\";function o6({x:r,filter:t,strides:e,pad:n,dataFormat:o=\"NHWC\",dilations:s=[1,1],dimRoundingMode:i,bias:a,activation:u=\"linear\",preluActivationWeights:l,leakyreluAlpha:c}){if(u=u||\"linear\",sc(T.state.gradientDepth,u)===!1){E(o===\"NHWC\",()=>`Error in fused conv2d: got dataFormat of ${o} but only NHWC is currently supported for the case of gradient depth is 0 and the activation is not linear.`);let _=Cn(r,t,e,n,o,s,i);return a!=null&&(_=X(_,a)),oc(_,u,l,c)}let p=I(r,\"x\",\"conv2d\",\"float32\"),m=I(t,\"filter\",\"conv2d\",\"float32\"),f=p,d=!1;p.rank===3&&(d=!0,f=D(p,[1,p.shape[0],p.shape[1],p.shape[2]])),E(f.rank===4,()=>`Error in fused conv2d: input must be rank 4, but got rank ${f.rank}.`),E(m.rank===4,()=>`Error in fused conv2d: filter must be rank 4, but got rank ${m.rank}.`),Ie(\"fused conv2d\",n,i);let h=o===\"NHWC\"?f.shape[3]:f.shape[1];E(m.shape[2]===h,()=>`Error in conv2d: depth of input (${h}) must match input depth for filter ${m.shape[2]}.`),E(_r(e,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${e} and dilations '${s}'`);let g=Ku(f.shape,m.shape,e,s,n,i),x;a!=null&&(x=I(a,\"bias\",\"fused conv2d\"),[x]=Wt(x,p),o===\"NHWC\"?Pt(g.outShape,x.shape):(E(x.shape.length<=1,()=>`Error in fused conv2d: only supports scalar or 1-D Tensor bias for NCHW format but got the bias of rank-${x.shape.length}.`),E(x.shape.length===0||x.shape[0]===g.outChannels||x.shape[0]===1,()=>`Error in fused conv2d: bias shape (${x.shape}) is not compatible with the number of output channels (${g.outChannels})`)));let b;if(l!=null){let _=l.shape;if(E(_.length<=1||_.length===3,()=>`Error in fused conv2d: only supports scalar, 1-D Tensor or 3-D Tensor PReLU activation weights but got a tensor of rank-${_.length}.`),_.length===1)E(_[0]===1||_[0]===g.outChannels,()=>`Error in fused conv2d: PReLU activation weights (${_}) is not compatible with the number of output channels (${g.outChannels}).`);else if(_.length===3)try{Pt(_,g.outShape)}catch(A){let $=`Error in fused conv2d: PReLU activation weights (${_}) is not compatible with the output shape of the conv2d (${g.outShape}).`;throw Error($)}b=I(l,\"prelu weights\",\"fused conv2d\")}let w=(_,A)=>{E(o===\"NHWC\",()=>`Error in gradient of fused conv2D: got dataFormat of ${o} but only NHWC is currently supported.`);let[$,F,P,V]=A,G=rc(_,P,u);E(Qn(s),()=>`Error in gradient of fused conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`);let W=Qp(F.shape,G,$,e,n),q=wm(F,G,$.shape,e,n),H=[W,q];if(V!=null){let j=nc(V,G);H.push(j)}return H},C={x:f,filter:m,bias:x,preluActivationWeights:b},N={strides:e,pad:n,dataFormat:o,dilations:s,dimRoundingMode:i,activation:u,leakyreluAlpha:c};return a==null?ln((A,$,F)=>{let P=T.runKernel(wi,C,N);return F([$,A,P]),d&&(P=D(P,[P.shape[1],P.shape[2],P.shape[3]])),{value:P,gradFunc:w}})(f,m):ln((A,$,F,P)=>{let V=T.runKernel(wi,C,N);return P([$,A,V,F]),d&&(V=D(V,[V.shape[1],V.shape[2],V.shape[3]])),{value:V,gradFunc:w}})(f,m,x)}var D_=k({fusedConv2d_:o6});function s6(r,t,e,n,o,s=[1,1],i){let a=r;r.rank===3&&(a=D(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let u=t;u.rank===3&&(u=D(t,[1,t.shape[0],t.shape[1],t.shape[2]]));let l={x:a,dy:u},c={strides:n,pad:o,dimRoundingMode:i,dilations:s,filterShape:e};return T.runKernel(gp,l,c)}var oy=k({depthwiseConv2dNativeBackpropFilter_:s6});function i6(r,t,e,n,o,s=[1,1],i){let a=t,u=!1;t.rank===3&&(u=!0,a=D(t,[1,t.shape[0],t.shape[1],t.shape[2]]));let l={dy:a,filter:e},c={strides:n,pad:o,dimRoundingMode:i,dilations:s,inputShape:r},p=T.runKernel(xp,l,c);return u?D(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var sy=k({depthwiseConv2dNativeBackpropInput_:i6});function a6({x:r,filter:t,strides:e,pad:n,dataFormat:o=\"NHWC\",dilations:s=[1,1],dimRoundingMode:i,bias:a,activation:u=\"linear\",preluActivationWeights:l,leakyreluAlpha:c}){if(sc(T.state.gradientDepth,u)===!1){let N=Di(r,t,e,n,o,s,i);return a!=null&&(N=X(N,a)),oc(N,u,l,c)}let p=I(r,\"x\",\"depthwiseConv2d\",\"float32\"),m=I(t,\"filter\",\"depthwiseConv2d\",\"float32\"),f=p,d=!1;p.rank===3&&(d=!0,f=D(p,[1,p.shape[0],p.shape[1],p.shape[2]])),E(f.rank===4,()=>`Error in fused depthwiseConv2d: input must be rank 4, but got rank ${f.rank}.`),E(m.rank===4,()=>`Error in fused depthwiseConv2d: filter must be rank 4, but got rank ${m.rank}.`),E(f.shape[3]===m.shape[2],()=>`Error in fused depthwiseConv2d: number of input channels (${f.shape[3]}) must match the inChannels dimension in filter ${m.shape[2]}.`),s==null&&(s=[1,1]),E(_r(e,s),()=>`Error in fused depthwiseConv2d: Either strides or dilations must be 1. Got strides ${e} and dilations '${s}'`),Ie(\"fused depthwiseConv2d\",n,i);let h=Ku(f.shape,m.shape,e,s,n,i,!0),g;a!=null&&(g=I(a,\"bias\",\"fused conv2d\"),[g]=Wt(g,p),Pt(h.outShape,g.shape));let x;l!=null&&(x=I(l,\"prelu weights\",\"fused depthwiseConv2d\"));let b=(N,_)=>{E(Qn(s),()=>`Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '${s}'`);let[A,$,F,P]=_,V=rc(N,F,u),G=sy($.shape,V,A,e,n,s,i),W=oy($,V,A.shape,e,n,s,i);if(P!=null){let q=nc(g,V);return[G,W,q]}return[G,W]},w={x:f,filter:m,bias:g,preluActivationWeights:x},C={strides:e,pad:n,dataFormat:o,dilations:s,dimRoundingMode:i,activation:u,leakyreluAlpha:c};return a==null?ln((_,A,$)=>{let F=T.runKernel(Ci,w,C);return $([A,_,F]),d&&(F=D(F,[F.shape[1],F.shape[2],F.shape[3]])),{value:F,gradFunc:b}})(f,m):ln((_,A,$,F)=>{let P=T.runKernel(Ci,w,C);return F([A,_,P,$]),d&&(P=D(P,[P.shape[1],P.shape[2],P.shape[3]])),{value:P,gradFunc:b}})(f,m,g)}var R_=k({fusedDepthwiseConv2d_:a6});function l6({a:r,b:t,transposeA:e=!1,transposeB:n=!1,bias:o,activation:s=\"linear\",preluActivationWeights:i,leakyreluAlpha:a=.2}){if(sc(T.state.gradientDepth,s)===!1){let V=Lt(r,t,e,n);return o!=null&&(V=X(V,o)),oc(V,s,i,a)}let u=I(r,\"a\",\"fused matMul\"),l=I(t,\"b\",\"fused matMul\");[u,l]=Wt(u,l);let c=e?u.shape[u.rank-2]:u.shape[u.rank-1],p=n?l.shape[l.rank-1]:l.shape[l.rank-2],m=e?u.shape[u.rank-1]:u.shape[u.rank-2],f=n?l.shape[l.rank-2]:l.shape[l.rank-1],d=u.shape.slice(0,-2),h=l.shape.slice(0,-2),g=Zt(d),x=Zt(h);E(c===p,()=>`Error in fused matMul: inner shapes (${c}) and (${p}) of Tensors with shapes ${u.shape} and ${l.shape} and transposeA=${e} and transposeB=${n} must match.`);let w=Pt(u.shape.slice(0,-2),l.shape.slice(0,-2)).concat([m,f]),C=e?D(u,[g,c,m]):D(u,[g,m,c]),N=n?D(l,[x,f,p]):D(l,[x,p,f]),_;o!=null&&(_=I(o,\"bias\",\"fused matMul\"),[_]=Wt(_,u),Pt(w,_.shape));let A;i!=null&&(A=I(i,\"prelu weights\",\"fused matMul\"));let $=(V,G)=>{let[W,q,H,j]=G,Y=rc(D(V,H.shape),H,s),Z,et;if(!e&&!n?(Z=Lt(Y,q,!1,!0),et=Lt(W,Y,!0,!1)):!e&&n?(Z=Lt(Y,q,!1,!1),et=Lt(Y,W,!0,!1)):e&&!n?(Z=Lt(q,Y,!1,!0),et=Lt(W,Y,!1,!1)):(Z=Lt(q,Y,!0,!0),et=Lt(Y,W,!0,!0)),o!=null){let rt=nc(j,Y);return[Z,et,rt]}else return[Z,et]},F={a:C,b:N,bias:_,preluActivationWeights:A},P={transposeA:e,transposeB:n,activation:s,leakyreluAlpha:a};return o==null?ln((G,W,q)=>{let H=T.runKernel(bi,F,P);return q([G,W,H]),{value:D(H,w),gradFunc:$}})(C,N):ln((G,W,q,H)=>{let j=T.runKernel(bi,F,P);return H([G,W,j,q]),{value:D(j,w),gradFunc:$}})(C,N,_)}var F_=k({fusedMatMul_:l6});function u6(r){return ch(r,.54,.46)}var O_=k({hammingWindow_:u6});function c6(r){return ch(r,.5,.5)}var iy=k({hannWindow_:c6});function p6(r,t,e,n=!1,o=0){let s=0,i=[];for(;s+t<=r.size;)i.push(Dt(r,s,t)),s+=e;if(n)for(;s`Error in cropAndResize: image must be rank 4,but got rank ${i.rank}.`),E(a.rank===2&&a.shape[1]===4,()=>`Error in cropAndResize: boxes must be have size [${l},4] but had shape ${a.shape}.`),E(u.rank===1&&u.shape[0]===l,()=>`Error in cropAndResize: boxInd must be have size [${l}] but had shape ${a.shape}.`),E(n.length===2,()=>`Error in cropAndResize: cropSize must be of length 2, but got length ${n.length}.`),E(n[0]>=1&&n[1]>=1,()=>`cropSize must be atleast [1,1], but was ${n}`),E(o===\"bilinear\"||o===\"nearest\",()=>`method must be bilinear or nearest, but was ${o}`);let c={image:i,boxes:a,boxInd:u},p={method:o,extrapolationValue:s,cropSize:n};return T.runKernel(ma,c,p)}var L_=k({cropAndResize_:f6});function d6(r){let t=I(r,\"image\",\"flipLeftRight\",\"float32\");E(t.rank===4,()=>`Error in flipLeftRight: image must be rank 4,but got rank ${t.rank}.`);let e={image:t};return T.runKernel(xa,e,{})}var M_=k({flipLeftRight_:d6});function h6(r){let t=I(r,\"image\",\"grayscaleToRGB\"),e=t.rank-1,n=t.shape[e];E(t.rank>=2,()=>`Error in grayscaleToRGB: images must be at least rank 2, but got rank ${t.rank}.`),E(n===1,()=>`Error in grayscaleToRGB: last dimension of a grayscale image should be size 1, but got size ${n}.`);let o=new Array(t.rank);return o.fill(1,0,e),o[e]=3,$r(t,o)}var z_=k({grayscaleToRGB_:h6});function g6(r,t,e=0,n=.5){let o=I(r,\"image\",\"rotateWithOffset\",\"float32\");E(o.rank===4,()=>`Error in rotateWithOffset: image must be rank 4,but got rank ${o.rank}.`);let s={image:o},i={radians:t,fillValue:e,center:n};return T.runKernel(Ua,s,i)}var B_=k({rotateWithOffset_:g6});function bo(r,t,e,n,o,s){n==null&&(n=.5),o==null&&(o=Number.NEGATIVE_INFINITY),s==null&&(s=0);let i=r.shape[0];return e=Math.min(e,i),E(0<=n&&n<=1,()=>`iouThreshold must be in [0, 1], but was '${n}'`),E(r.rank===2,()=>`boxes must be a 2D tensor, but was of rank '${r.rank}'`),E(r.shape[1]===4,()=>`boxes must have 4 columns, but 2nd dimension was ${r.shape[1]}`),E(t.rank===1,()=>\"scores must be a 1D tensor\"),E(t.shape[0]===i,()=>`scores has incompatible shape with boxes. Expected ${i}, but was ${t.shape[0]}`),E(0<=s&&s<=1,()=>`softNmsSigma must be in [0, 1], but was '${s}'`),{maxOutputSize:e,iouThreshold:n,scoreThreshold:o,softNmsSigma:s}}function x6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY){let s=I(r,\"boxes\",\"nonMaxSuppression\",\"float32\"),i=I(t,\"scores\",\"nonMaxSuppression\",\"float32\"),a=bo(s,i,e,n,o);e=a.maxOutputSize,n=a.iouThreshold,o=a.scoreThreshold;let u={maxOutputSize:e,iouThreshold:n,scoreThreshold:o};return T.runKernel($a,{boxes:s,scores:i},u)}var V_=k({nonMaxSuppression_:x6});function G_(r,t,e){let n=y6(r,t,e),o=n<0?-(n+1):n;r.splice(o,0,t)}function y6(r,t,e){return w6(r,t,e||b6)}function b6(r,t){return r>t?1:r>>1);let a=e(t,r[s]);a>0?n=s+1:(o=s,i=!a)}return i?n:-n-1}function ly(r,t,e,n,o){return s0(r,t,e,n,o,0)}function uy(r,t,e,n,o,s){return s0(r,t,e,n,o,0,!1,s,!0)}function cy(r,t,e,n,o,s){return s0(r,t,e,n,o,s,!0)}function s0(r,t,e,n,o,s,i=!1,a=!1,u=!1){let l=[];for(let g=0;go&&l.push({score:t[g],boxIndex:g,suppressBeginIndex:0});l.sort(W_);let c=s>0?-.5/s:0,p=[],m=[];for(;p.length0;){let g=l.pop(),{score:x,boxIndex:b,suppressBeginIndex:w}=g;if(x=w;--N){let _=C6(r,b,p[N]);if(_>=n){C=!0;break}if(g.score=g.score*I6(n,c,_),g.score<=o)break}g.suppressBeginIndex=p.length,C||(g.score===x?(p.push(b),m.push(g.score)):g.score>o&&G_(l,g,W_))}let f=p.length,d=e-f;a&&d>0&&(p.push(...new Array(d).fill(0)),m.push(...new Array(d).fill(0)));let h={selectedIndices:p};return i&&(h.selectedScores=m),u&&(h.validOutputs=f),h}function C6(r,t,e){let n=r.subarray(t*4,t*4+4),o=r.subarray(e*4,e*4+4),s=Math.min(n[0],n[2]),i=Math.min(n[1],n[3]),a=Math.max(n[0],n[2]),u=Math.max(n[1],n[3]),l=Math.min(o[0],o[2]),c=Math.min(o[1],o[3]),p=Math.max(o[0],o[2]),m=Math.max(o[1],o[3]),f=(a-s)*(u-i),d=(p-l)*(m-c);if(f<=0||d<=0)return 0;let h=Math.max(s,l),g=Math.max(i,c),x=Math.min(a,p),b=Math.min(u,m),w=Math.max(x-h,0)*Math.max(b-g,0);return w/(f+d-w)}function I6(r,t,e){let n=Math.exp(t*e*e);return e<=r?n:0}function W_(r,t){return r.score-t.score||r.score===t.score&&t.boxIndex-r.boxIndex}async function v6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY){let s=I(r,\"boxes\",\"nonMaxSuppressionAsync\"),i=I(t,\"scores\",\"nonMaxSuppressionAsync\"),a=bo(s,i,e,n,o);e=a.maxOutputSize,n=a.iouThreshold,o=a.scoreThreshold;let u=await Promise.all([s.data(),i.data()]),l=u[0],c=u[1],{selectedIndices:p}=ly(l,c,e,n,o);return s!==r&&s.dispose(),i!==t&&i.dispose(),Le(p,\"int32\")}var U_=v6;function S6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY,s=0){let i=I(r,\"boxes\",\"nonMaxSuppression\"),a=I(t,\"scores\",\"nonMaxSuppression\"),u=bo(i,a,e,n,o,s);e=u.maxOutputSize,n=u.iouThreshold,o=u.scoreThreshold,s=u.softNmsSigma;let l={boxes:i,scores:a},c={maxOutputSize:e,iouThreshold:n,scoreThreshold:o,softNmsSigma:s},p=T.runKernel(Ra,l,c);return{selectedIndices:p[0],selectedScores:p[1]}}var H_=k({nonMaxSuppressionWithScore_:S6});async function N6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY,s=0){let i=I(r,\"boxes\",\"nonMaxSuppressionAsync\"),a=I(t,\"scores\",\"nonMaxSuppressionAsync\"),u=bo(i,a,e,n,o,s);e=u.maxOutputSize,n=u.iouThreshold,o=u.scoreThreshold,s=u.softNmsSigma;let l=await Promise.all([i.data(),a.data()]),c=l[0],p=l[1],{selectedIndices:m,selectedScores:f}=cy(c,p,e,n,o,s);return i!==r&&i.dispose(),a!==t&&a.dispose(),{selectedIndices:Le(m,\"int32\"),selectedScores:Le(f)}}var q_=N6;function k6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY,s=!1){let i=I(r,\"boxes\",\"nonMaxSuppression\"),a=I(t,\"scores\",\"nonMaxSuppression\"),u=bo(i,a,e,n,o,null),l=u.maxOutputSize,c=u.iouThreshold,p=u.scoreThreshold,m={boxes:i,scores:a},f={maxOutputSize:l,iouThreshold:c,scoreThreshold:p,padToMaxOutputSize:s},d=T.runKernel(Da,m,f);return{selectedIndices:d[0],validOutputs:d[1]}}var K_=k({nonMaxSuppressionPadded_:k6});async function T6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY,s=!1){let i=I(r,\"boxes\",\"nonMaxSuppressionAsync\"),a=I(t,\"scores\",\"nonMaxSuppressionAsync\"),u=bo(i,a,e,n,o,null),l=u.maxOutputSize,c=u.iouThreshold,p=u.scoreThreshold,[m,f]=await Promise.all([i.data(),a.data()]),{selectedIndices:d,validOutputs:h}=uy(m,f,l,c,p,s);return i!==r&&i.dispose(),a!==t&&a.dispose(),{selectedIndices:Le(d,\"int32\"),validOutputs:mt(h,\"int32\")}}var j_=T6;function E6(r,t,e=!1,n=!1){let o=I(r,\"images\",\"resizeBilinear\");E(o.rank===3||o.rank===4,()=>`Error in resizeBilinear: x must be rank 3 or 4, but got rank ${o.rank}.`),E(t.length===2,()=>`Error in resizeBilinear: new shape must 2D, but got shape ${t}.`),E(n===!1||e===!1,()=>\"Error in resizeBilinear: If halfPixelCenters is true, alignCorners must be false.\");let s=o,i=!1;o.rank===3&&(i=!0,s=D(o,[1,o.shape[0],o.shape[1],o.shape[2]]));let[]=t,a={images:s},u={alignCorners:e,halfPixelCenters:n,size:t},l=T.runKernel(Is,a,u);return i?D(l,[l.shape[1],l.shape[2],l.shape[3]]):l}var py=k({resizeBilinear_:E6});function _6(r,t,e=!1,n=!1){let o=I(r,\"images\",\"resizeNearestNeighbor\");E(o.rank===3||o.rank===4,()=>`Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank ${o.rank}.`),E(t.length===2,()=>`Error in resizeNearestNeighbor: new shape must 2D, but got shape ${t}.`),E(o.dtype===\"float32\"||o.dtype===\"int32\",()=>\"`images` must have `int32` or `float32` as dtype\"),E(n===!1||e===!1,()=>\"Error in resizeNearestNeighbor: If halfPixelCenters is true, alignCorners must be false.\");let s=o,i=!1;o.rank===3&&(i=!0,s=D(o,[1,o.shape[0],o.shape[1],o.shape[2]]));let[]=t,a={images:s},u={alignCorners:e,halfPixelCenters:n,size:t},l=T.runKernel(Cs,a,u);return i?D(l,[l.shape[1],l.shape[2],l.shape[3]]):l}var my=k({resizeNearestNeighbor_:_6});function A6(r,t=\"binary\",e=!1,n=.5){let o=I(r,\"image\",\"threshold\"),s=.2989,i=.587,a=.114,u=o.shape[0]*o.shape[1],l=R(Le([n]),255),c,p,m,f;if(E(o.rank===3,()=>`Error in threshold: image must be rank 3,but got rank ${o.rank}.`),E(o.shape[2]===3||o.shape[2]===1,()=>`Error in threshold: image color channel must be equal to 3 or 1but got ${o.shape[2]}.`),E(o.dtype===\"int32\"||o.dtype===\"float32\",()=>`Error in dtype: image dtype must be int32 or float32,but got dtype ${o.dtype}.`),E(t===\"otsu\"||t===\"binary\",()=>`Method must be binary or otsu, but was ${t}`),o.shape[2]===3){[c,p,m]=cr(o,[1,1,1],-1);let g=R(c,s),x=R(p,i),b=R(m,a);f=X(X(g,x),b)}else f=r;if(t===\"otsu\"){let g=hx(J(lm(f),\"int32\"),wr([]),256);l=$6(g,u)}let d=e?On(f,l):He(f,l);return J(R(d,255),\"int32\")}function $6(r,t){let e=Le([-1]),n=Le([0]),o=Le([0]),s,i,a,u,l,c;for(let p=0;p`Error in transform: image must be rank 4,but got rank ${i.rank}.`),E(a.rank===2&&(a.shape[0]===i.shape[0]||a.shape[0]===1)&&a.shape[1]===8,()=>\"Error in transform: Input transform should be batch x 8 or 1 x 8\"),E(s==null||s.length===2,()=>`Error in transform: outputShape must be [height, width] or null, but got ${s}.`);let u={image:i,transforms:a},l={interpolation:e,fillMode:n,fillValue:o,outputShape:s};return T.runKernel(Wa,u,l)}var Y_=k({transform_:D6});function R6(r,t,e){E(t%1===0,()=>`bandPart(): numLower must be an integer, got ${t}.`),E(e%1===0,()=>`bandPart(): numUpper must be an integer, got ${e}.`);let n=I(r,\"a\",\"bandPart\");E(n.rank>=2,()=>`bandPart(): Rank must be at least 2, got ${n.rank}.`);let o=n.shape,[s,i]=n.shape.slice(-2);if(!(t<=s))throw new Error(`bandPart(): numLower (${t}) must not be greater than the number of rows (${s}).`);if(!(e<=i))throw new Error(`bandPart(): numUpper (${e}) must not be greater than the number of columns (${i}).`);t<0&&(t=s),e<0&&(e=i);let a=D(nu(0,s,1,\"int32\"),[-1,1]),u=nu(0,i,1,\"int32\"),l=ct(a,u),c=Dr(On(l,mt(+t,\"int32\")),Fn(l,mt(-e,\"int32\"))),p=Ne([s,i],n.dtype);return D(rr(vr(D(n,[-1,s,i])).map(m=>_e(c,m,p))),o)}var Z_=k({bandPart_:R6});function F6(r){let t;if(Array.isArray(r)){t=!1,E(r!=null&&r.length>0,()=>\"Gram-Schmidt process: input must not be null, undefined, or empty\");let o=r[0].shape[0];for(let s=1;s`Gram-Schmidt: Non-unique lengths found in the input vectors: (${r[s].shape[0]} vs. ${o})`)}else t=!0,r=cr(r,r.shape[0],0).map(o=>Pn(o,[0]));E(r.length<=r[0].shape[0],()=>`Gram-Schmidt: Number of vectors (${r.length}) exceeds number of dimensions (${r[0].shape[0]}).`);let e=[],n=r;for(let o=0;o{let s=n[o];if(o>0)for(let i=0;i=2,()=>`qr() requires input tensor to have a rank >= 2, but got rank ${r.rank}`),r.rank===2)return Q_(r,t);{let e=r.shape.slice(0,r.shape.length-2).reduce((u,l)=>u*l),n=vr(D(r,[e,r.shape[r.shape.length-2],r.shape[r.shape.length-1]]),0),o=[],s=[];n.forEach(u=>{let[l,c]=Q_(u,t);o.push(l),s.push(c)});let i=D(rr(o,0),r.shape),a=D(rr(s,0),r.shape);return[i,a]}}function Q_(r,t=!1){return T.tidy(()=>{E(r.shape.length===2,()=>`qr2d() requires a 2D Tensor, but got a ${r.shape.length}D Tensor.`);let e=r.shape[0],n=r.shape[1],o=Yu(e),s=sn(r),i=Bs([[1]],[1,1]),a=sn(i),u=e>=n?n:e;for(let l=0;l{let f=Dt(s,[l,l],[e-l,1]),d=Ya(f),h=Dt(s,[l,l],[1,1]),g=_e(He(h,0),Bs([[-1]]),Bs([[1]])),x=ct(h,R(g,d)),b=pt(f,x);b.shape[0]===1?a=sn(i):a=ne([i,Dt(b,[1,0],[b.shape[0]-1,b.shape[1]])],0);let w=Ut(pt(Lt(g,x),d)),C=Dt(s,[l,0],[e-l,n]),N=R(w,a),_=Ot(a);if(l===0)s=ct(C,Lt(N,Lt(_,C)));else{let F=ct(C,Lt(N,Lt(_,C)));s=ne([Dt(s,[0,0],[l,n]),F],0)}let A=Ot(N),$=Dt(o,[0,l],[e,o.shape[1]-l]);if(l===0)o=ct($,Lt(Lt($,a),A));else{let F=ct($,Lt(Lt($,a),A));o=ne([Dt(o,[0,0],[e,l]),F],1)}return[a,s,o]}),St([c,p,m])}return!t&&e>n&&(o=Dt(o,[0,0],[e,n]),s=Dt(s,[0,0],[n,n])),[o,s]})}var tA=k({qr_:O6});var Xe;(function(r){r[r.NONE=0]=\"NONE\",r[r.MEAN=1]=\"MEAN\",r[r.SUM=2]=\"SUM\",r[r.SUM_BY_NONZERO_WEIGHTS=3]=\"SUM_BY_NONZERO_WEIGHTS\"})(Xe||(Xe={}));function P6(r,t,e=Xe.SUM_BY_NONZERO_WEIGHTS){let n=I(r,\"losses\",\"computeWeightedLoss\"),o=null;t!=null&&(o=I(t,\"weights\",\"computeWeightedLoss\"));let s=o==null?n:R(n,o);if(e===Xe.NONE)return s;if(e===Xe.SUM)return ft(s);if(e===Xe.MEAN){if(o==null)return Se(s);{let i=n.size/o.size,a=pt(ft(s),ft(o));return i>1?pt(a,mt(i)):a}}if(e===Xe.SUM_BY_NONZERO_WEIGHTS){if(o==null)return pt(ft(s),mt(n.size));{let i=R(o,lr(n.shape)),a=J(ft(zs(i,mt(0))),\"float32\");return pt(ft(s),a)}}throw Error(`Unknown reduction: ${e}`)}var Vr=k({computeWeightedLoss_:P6});function L6(r,t,e,n=Xe.SUM_BY_NONZERO_WEIGHTS){let o=I(r,\"labels\",\"absoluteDifference\"),s=I(t,\"predictions\",\"absoluteDifference\"),i=null;e!=null&&(i=I(e,\"weights\",\"absoluteDifference\")),$e(o.shape,s.shape,\"Error in absoluteDifference: \");let a=Ee(ct(o,s));return Vr(a,i,n)}var eA=k({absoluteDifference_:L6});function M6(r,t,e,n,o=Xe.SUM_BY_NONZERO_WEIGHTS){let s=I(r,\"labels\",\"cosineDistance\"),i=I(t,\"predictions\",\"cosineDistance\"),a=null;n!=null&&(a=I(n,\"weights\",\"cosineDistance\")),$e(s.shape,i.shape,\"Error in cosineDistance: \");let u=mt(1),l=ct(u,ft(R(s,i),e,!0));return Vr(l,a,o)}var rA=k({cosineDistance_:M6});function z6(r,t,e,n=Xe.SUM_BY_NONZERO_WEIGHTS){let o=I(r,\"labels\",\"hingeLoss\"),s=I(t,\"predictions\",\"hingeLoss\"),i=null;e!=null&&(i=I(e,\"weights\",\"hingeLoss\")),$e(o.shape,s.shape,\"Error in hingeLoss: \");let a=mt(1);o=ct(R(mt(2),o),a);let u=Rr(ct(a,R(o,s)));return Vr(u,i,n)}var nA=k({hingeLoss_:z6});function B6(r,t,e,n=1,o=Xe.SUM_BY_NONZERO_WEIGHTS){let s=I(r,\"labels\",\"huberLoss\"),i=I(t,\"predictions\",\"huberLoss\"),a=null;e!=null&&(a=I(e,\"weights\",\"huberLoss\")),$e(s.shape,i.shape,\"Error in huberLoss: \");let u=mt(n),l=Ee(ct(i,s)),c=Pi(l,u),p=ct(l,c),m=X(R(mt(.5),Mt(c)),R(u,p));return Vr(m,a,o)}var oA=k({huberLoss_:B6});function V6(r,t,e,n=1e-7,o=Xe.SUM_BY_NONZERO_WEIGHTS){let s=I(r,\"labels\",\"logLoss\"),i=I(t,\"predictions\",\"logLoss\"),a=null;e!=null&&(a=I(e,\"weights\",\"logLoss\")),$e(s.shape,i.shape,\"Error in logLoss: \");let u=mt(1),l=mt(n),c=Ut(R(s,Ir(X(i,l)))),p=R(ct(u,s),Ir(X(ct(u,i),l))),m=ct(c,p);return Vr(m,a,o)}var sA=k({logLoss_:V6});function G6(r,t,e,n=Xe.SUM_BY_NONZERO_WEIGHTS){let o=I(r,\"labels\",\"meanSquaredError\"),s=I(t,\"predictions\",\"meanSquaredError\"),i=null;e!=null&&(i=I(e,\"weights\",\"meanSquaredError\")),$e(o.shape,s.shape,\"Error in meanSquaredError: \");let a=xm(o,s);return Vr(a,i,n)}var iA=k({meanSquaredError_:G6});function W6(r,t){let e=I(r,\"labels\",\"sigmoidCrossEntropyWithLogits\"),n=I(t,\"logits\",\"sigmoidCrossEntropyWithLogits\");$e(e.shape,n.shape,\"Error in sigmoidCrossEntropyWithLogits: \");let o=Rr(n),s=R(n,e),i=Jl(er(Ut(Ee(n))));return X(ct(o,s),i)}function U6(r,t,e,n=0,o=Xe.SUM_BY_NONZERO_WEIGHTS){let s=I(r,\"multiClassLabels\",\"sigmoidCrossEntropy\"),i=I(t,\"logits\",\"sigmoidCrossEntropy\"),a=null;if(e!=null&&(a=I(e,\"weights\",\"sigmoidCrossEntropy\")),$e(s.shape,i.shape,\"Error in sigmoidCrossEntropy: \"),n>0){let l=mt(n),c=mt(1),p=mt(.5);s=X(R(s,ct(c,l)),R(p,l))}let u=W6(s,i);return Vr(u,a,o)}var aA=k({sigmoidCrossEntropy_:U6});function H6(r,t,e=-1){if(e===-1&&(e=t.rank-1),e!==t.rank-1)throw Error(`Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank ${t.rank} and dim was ${e}`);return ln((o,s,i)=>{let u=sm(s,[e],!0),l=ct(J(s,\"float32\"),u);i([o,l]);let c=Ut(R(l,o));return{value:ft(c,[e]),gradFunc:(f,d)=>{let[h,g]=d,x=xo(f.shape,[e]);return[R(D(f,x),ct(J(h,\"float32\"),er(g))),R(D(f,x),ct(er(g),J(h,\"float32\")))]}}})(r,t)}function q6(r,t,e,n=0,o=Xe.SUM_BY_NONZERO_WEIGHTS){let s=I(r,\"onehotLabels\",\"softmaxCrossEntropy\"),i=I(t,\"logits\",\"softmaxCrossEntropy\"),a=null;if(e!=null&&(a=I(e,\"weights\",\"softmaxCrossEntropy\")),$e(s.shape,i.shape,\"Error in softmaxCrossEntropy: \"),n>0){let l=mt(n),c=mt(1),p=mt(s.shape[1]);s=X(R(s,ct(c,l)),pt(l,p))}let u=H6(s,i);return Vr(u,a,o)}var lA=k({softmaxCrossEntropy_:q6});function K6(r,t,e,n){let o=I(r,\"indices\",\"sparseFillEmptyRows\",\"int32\"),s=I(t,\"values\",\"sparseFillEmptyRows\"),i=I(e,\"denseShape\",\"sparseFillEmptyRows\",\"int32\"),a=I(n,\"defaultValue\",\"sparseFillEmptyRows\",s.dtype);if(o.rank!==2)throw new Error(`Indices should be Tensor2D but received shape\n ${o.shape}`);if(s.rank!==1)throw new Error(`Values should be Tensor1D but received shape ${s.shape}`);if(i.rank!==1)throw new Error(`Dense shape should be Tensor1D but received shape ${i.shape}`);if(a.rank!==0)throw new Error(`Default value should be a scalar but received shape ${a.shape}`);let u={indices:o,values:s,denseShape:i,defaultValue:a},l=T.runKernel(Fl,u);return{outputIndices:l[0],outputValues:l[1],emptyRowIndicator:l[2],reverseIndexMap:l[3]}}var uA=k({sparseFillEmptyRows_:K6});function j6(r,t,e){let n=I(r,\"inputIndices\",\"sparseReshape\",\"int32\"),o=I(t,\"inputShape\",\"sparseReshape\",\"int32\"),s=I(e,\"newShape\",\"sparseReshape\",\"int32\");if(n.rank!==2)throw new Error(`Input indices should be Tensor2D but received shape\n ${n.shape}`);if(o.rank!==1)throw new Error(`Input shape should be Tensor1D but received shape ${o.shape}`);if(s.rank!==1)throw new Error(`New shape should be Tensor1D but received shape ${s.shape}`);let i={inputIndices:n,inputShape:o,newShape:s},a=T.runKernel(Ba,i);return{outputIndices:a[0],outputShape:a[1]}}var cA=k({sparseReshape_:j6});function X6(r,t,e){let n=I(r,\"data\",\"sparseSegmentMean\"),o=I(t,\"indices\",\"sparseSegmentMean\",\"int32\"),s=I(e,\"segmentIds\",\"sparseSegmentMean\",\"int32\");if(n.rank<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(o.rank!==1)throw new Error(`Indices should be Tensor1D but received shape\n ${o.shape}`);if(s.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape\n ${s.shape}`);let i={data:n,indices:o,segmentIds:s};return T.runKernel(Ol,i)}var pA=k({sparseSegmentMean_:X6});function Y6(r,t,e){let n=I(r,\"data\",\"sparseSegmentSum\"),o=I(t,\"indices\",\"sparseSegmentSum\",\"int32\"),s=I(e,\"segmentIds\",\"sparseSegmentSum\",\"int32\");if(n.rank<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(o.rank!==1)throw new Error(`Indices should be Tensor1D but received shape\n ${o.shape}`);if(s.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape\n ${s.shape}`);let i={data:n,indices:o,segmentIds:s};return T.runKernel(Pl,i)}var mA=k({sparseSegmentSum_:Y6});function Z6(r,t,e,n,o,s,i,a){let u=I(r,\"data\",\"stringNGrams\",\"string\");if(u.dtype!==\"string\")throw new Error(\"Data must be of datatype string\");if(u.shape.length!==1)throw new Error(`Data must be a vector, saw: ${u.shape}`);let l=I(t,\"dataSplits\",\"stringNGrams\");if(l.dtype!==\"int32\")throw new Error(\"Data splits must be of datatype int32\");let c={separator:e,nGramWidths:n,leftPad:o,rightPad:s,padWidth:i,preserveShortSequences:a},p={data:u,dataSplits:l},m=T.runKernel(Ml,p,c);return{nGrams:m[0],nGramsSplits:m[1]}}var fA=k({stringNGrams_:Z6});function J6(r,t,e=!0){let n=I(r,\"input\",\"stringSplit\",\"string\"),o=I(t,\"delimiter\",\"stringSplit\",\"string\");if(n.rank!==1)throw new Error(`Input should be Tensor1D but received shape ${n.shape}`);if(o.rank!==0)throw new Error(`Delimiter should be a scalar but received shape ${o.shape}`);let s={skipEmpty:e},i={input:n,delimiter:o},a=T.runKernel(zl,i,s);return{indices:a[0],values:a[1],shape:a[2]}}var dA=k({stringSplit_:J6});function Q6(r,t){let e=I(r,\"input\",\"stringToHashBucketFast\",\"string\"),n={numBuckets:t};if(t<=0)throw new Error(\"Number of buckets must be at least 1\");let o={input:e};return T.runKernel(Bl,o,n)}var hA=k({stringToHashBucketFast_:Q6});var tX={fft:su,ifft:Za,rfft:iu,irfft:gm},eX={hammingWindow:O_,hannWindow:iy,frame:ay,stft:P_},lu={flipLeftRight:M_,grayscaleToRGB:z_,resizeNearestNeighbor:my,resizeBilinear:py,rotateWithOffset:B_,cropAndResize:L_,nonMaxSuppression:V_,nonMaxSuppressionAsync:U_,nonMaxSuppressionWithScore:H_,nonMaxSuppressionWithScoreAsync:q_,nonMaxSuppressionPadded:K_,nonMaxSuppressionPaddedAsync:j_,threshold:X_,transform:Y_},i0={bandPart:Z_,gramSchmidt:J_,qr:tA},rX={absoluteDifference:eA,computeWeightedLoss:Vr,cosineDistance:rA,hingeLoss:nA,huberLoss:oA,logLoss:sA,meanSquaredError:iA,sigmoidCrossEntropy:aA,softmaxCrossEntropy:lA},nX={sparseFillEmptyRows:uA,sparseReshape:cA,sparseSegmentMean:pA,sparseSegmentSum:mA},oX={stringNGrams:fA,stringSplit:dA,stringToHashBucketFast:hA};var Gr=class extends sh{minimize(t,e=!1,n){let{value:o,grads:s}=this.computeGradients(t,n);if(n!=null){let i=n.map(a=>({name:a.name,tensor:s[a.name]}));this.applyGradients(i)}else this.applyGradients(s);return St(s),e?o:(o.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(t,e){return Ox(t,e)}dispose(){this.iterations_!=null&&St(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:\"iter\",tensor:mt(this.iterations_,\"int32\")}}async getWeights(){throw new Error(\"getWeights() is not implemented for this optimizer yet.\")}async setWeights(t){throw new Error(`setWeights() is not implemented for this optimizer class ${this.getClassName()}`)}async extractIterations(t){return this.iterations_=(await t[0].tensor.data())[0],t.slice(1)}};Object.defineProperty(Gr,Symbol.hasInstance,{value:r=>r.minimize!=null&&r.computeGradients!=null&&r.applyGradients!=null});var uu=class extends Gr{constructor(t,e,n=null){super(),this.learningRate=t,this.rho=e,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],n==null&&(this.epsilon=T.backend.epsilon())}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=T.registeredVariables[n],i=!1;this.accumulatedGrads[o]==null&&(this.accumulatedGrads[o]={originalName:`${n}/accum_grad`,variable:B(()=>It(s).variable(i))}),this.accumulatedUpdates[o]==null&&(this.accumulatedUpdates[o]={originalName:`${n}/accum_var`,variable:B(()=>It(s).variable(i))});let a=Array.isArray(t)?t[o].tensor:t[n];if(a==null)return;let u=this.accumulatedGrads[o].variable,l=this.accumulatedUpdates[o].variable;B(()=>{let c=X(R(u,this.rho),R(Mt(a),1-this.rho)),p=R(pt(ve(X(l,this.epsilon)),ve(X(u,this.epsilon))),a),m=X(R(l,this.rho),R(Mt(p),1-this.rho));u.assign(c),l.assign(m);let f=X(R(p,-this.learningRate),s);s.assign(f)})}),this.incrementIterations()}dispose(){this.accumulatedUpdates!=null&&(St(this.accumulatedGrads.map(t=>t.variable)),St(this.accumulatedUpdates.map(t=>t.variable)))}async getWeights(){let t=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(t.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(t){t=await this.extractIterations(t);let e=t.length/2,n=!1;this.accumulatedGrads=t.slice(0,e).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.accumulatedUpdates=t.slice(e,e*2).map(o=>({originalName:o.name,variable:o.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(t,e){return new t(e.learningRate,e.rho,e.epsilon)}};uu.className=\"Adadelta\";wn(uu);var cu=class extends Gr{constructor(t,e=.1){super(),this.learningRate=t,this.initialAccumulatorValue=e,this.accumulatedGrads=[]}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=T.registeredVariables[n];this.accumulatedGrads[o]==null&&(this.accumulatedGrads[o]={originalName:`${n}/accumulator`,variable:B(()=>go(s.shape,this.initialAccumulatorValue).variable(!1))});let i=Array.isArray(t)?t[o].tensor:t[n];if(i==null)return;let a=this.accumulatedGrads[o].variable;B(()=>{let u=X(a,Mt(i));a.assign(u);let l=X(R(pt(i,ve(X(u,T.backend.epsilon()))),-this.learningRate),s);s.assign(l)})}),this.incrementIterations()}dispose(){this.accumulatedGrads!=null&&St(this.accumulatedGrads.map(t=>t.variable))}async getWeights(){return[await this.saveIterations()].concat(this.accumulatedGrads.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(t){t=await this.extractIterations(t);let e=!1;this.accumulatedGrads=t.map(n=>({originalName:n.name,variable:n.tensor.variable(e)}))}getConfig(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}static fromConfig(t,e){return new t(e.learningRate,e.initialAccumulatorValue)}};cu.className=\"Adagrad\";wn(cu);var pu=class extends Gr{constructor(t,e,n,o=null){super(),this.learningRate=t,this.beta1=e,this.beta2=n,this.epsilon=o,this.accumulatedFirstMoment=[],this.accumulatedSecondMoment=[],B(()=>{this.accBeta1=mt(e).variable(),this.accBeta2=mt(n).variable()}),o==null&&(this.epsilon=T.backend.epsilon())}applyGradients(t){let e=Array.isArray(t)?t.map(n=>n.name):Object.keys(t);B(()=>{let n=ct(1,this.accBeta1),o=ct(1,this.accBeta2);e.forEach((s,i)=>{let a=T.registeredVariables[s],u=!1;this.accumulatedFirstMoment[i]==null&&(this.accumulatedFirstMoment[i]={originalName:`${s}/m`,variable:B(()=>It(a).variable(u))}),this.accumulatedSecondMoment[i]==null&&(this.accumulatedSecondMoment[i]={originalName:`${s}/v`,variable:B(()=>It(a).variable(u))});let l=Array.isArray(t)?t[i].tensor:t[s];if(l==null)return;let c=this.accumulatedFirstMoment[i].variable,p=this.accumulatedSecondMoment[i].variable,m=X(R(c,this.beta1),R(l,1-this.beta1)),f=X(R(p,this.beta2),R(Mt(l),1-this.beta2)),d=pt(m,n),h=pt(f,o);c.assign(m),p.assign(f);let g=X(R(pt(d,X(ve(h),this.epsilon)),-this.learningRate),a);a.assign(g)}),this.accBeta1.assign(R(this.accBeta1,this.beta1)),this.accBeta2.assign(R(this.accBeta2,this.beta2))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.accBeta2.dispose(),this.accumulatedFirstMoment!=null&&St(this.accumulatedFirstMoment.map(t=>t.variable)),this.accumulatedSecondMoment!=null&&St(this.accumulatedSecondMoment.map(t=>t.variable))}async getWeights(){let t=[...this.accumulatedFirstMoment,...this.accumulatedSecondMoment];return[await this.saveIterations()].concat(t.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(t){t=await this.extractIterations(t),B(()=>{this.accBeta1.assign(an(this.beta1,this.iterations_+1)),this.accBeta2.assign(an(this.beta2,this.iterations_+1))});let e=t.length/2,n=!1;this.accumulatedFirstMoment=t.slice(0,e).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.accumulatedSecondMoment=t.slice(e,e*2).map(o=>({originalName:o.name,variable:o.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}static fromConfig(t,e){return new t(e.learningRate,e.beta1,e.beta2,e.epsilon)}};pu.className=\"Adam\";wn(pu);var mu=class extends Gr{constructor(t,e,n,o=null,s=0){super(),this.learningRate=t,this.beta1=e,this.beta2=n,this.epsilon=o,this.decay=s,this.accumulatedFirstMoment=[],this.accumulatedWeightedInfNorm=[],B(()=>{this.iteration=mt(0).variable(),this.accBeta1=mt(e).variable()}),o==null&&(this.epsilon=T.backend.epsilon())}applyGradients(t){let e=Array.isArray(t)?t.map(n=>n.name):Object.keys(t);B(()=>{let n=ct(1,this.accBeta1),o=pt(-this.learningRate,X(R(this.iteration,this.decay),1));e.forEach((s,i)=>{let a=T.registeredVariables[s],u=!1;this.accumulatedFirstMoment[i]==null&&(this.accumulatedFirstMoment[i]={originalName:`${s}/m`,variable:It(a).variable(u)}),this.accumulatedWeightedInfNorm[i]==null&&(this.accumulatedWeightedInfNorm[i]={originalName:`${s}/v`,variable:It(a).variable(u)});let l=Array.isArray(t)?t[i].tensor:t[s];if(l==null)return;let c=this.accumulatedFirstMoment[i].variable,p=this.accumulatedWeightedInfNorm[i].variable,m=X(R(c,this.beta1),R(l,1-this.beta1)),f=R(p,this.beta2),d=Ee(l),h=In(f,d);c.assign(m),p.assign(h);let g=X(R(pt(o,n),pt(m,X(h,this.epsilon))),a);a.assign(g)}),this.iteration.assign(X(this.iteration,1)),this.accBeta1.assign(R(this.accBeta1,this.beta1))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.iteration.dispose(),this.accumulatedFirstMoment!=null&&St(this.accumulatedFirstMoment.map(t=>t.variable)),this.accumulatedWeightedInfNorm!=null&&St(this.accumulatedWeightedInfNorm.map(t=>t.variable))}async getWeights(){throw new Error(\"getWeights() is not implemented for Adamax yet.\")}async setWeights(t){throw new Error(\"setWeights() is not implemented for Adamax yet.\")}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}static fromConfig(t,e){return new t(e.learningRate,e.beta1,e.beta2,e.epsilon,e.decay)}};mu.className=\"Adamax\";wn(mu);var Mi=class extends Gr{constructor(t){super(),this.learningRate=t,this.setLearningRate(t)}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=Array.isArray(t)?t[o].tensor:t[n];if(s==null)return;let i=T.registeredVariables[n];B(()=>{let a=X(R(this.c,s),i);i.assign(a)})}),this.incrementIterations()}setLearningRate(t){this.learningRate=t,this.c!=null&&this.c.dispose(),this.c=De(mt(-t))}dispose(){this.c.dispose()}async getWeights(){return[await this.saveIterations()]}async setWeights(t){if(t=await this.extractIterations(t),t.length!==0)throw new Error(\"SGD optimizer does not have settable weights.\")}getConfig(){return{learningRate:this.learningRate}}static fromConfig(t,e){return new t(e.learningRate)}};Mi.className=\"SGD\";wn(Mi);var fu=class extends Mi{constructor(t,e,n=!1){super(t),this.learningRate=t,this.momentum=e,this.useNesterov=n,this.accumulations=[],this.m=mt(this.momentum)}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=T.registeredVariables[n];this.accumulations[o]==null&&(this.accumulations[o]={originalName:`${n}/momentum`,variable:B(()=>It(s).variable(!1))});let i=this.accumulations[o].variable,a=Array.isArray(t)?t[o].tensor:t[n];a!=null&&B(()=>{let u,l=X(R(this.m,i),a);this.useNesterov?u=X(R(this.c,X(a,R(l,this.m))),s):u=X(R(this.c,l),s),i.assign(l),s.assign(u)})}),this.incrementIterations()}dispose(){this.m.dispose(),this.accumulations!=null&&St(this.accumulations.map(t=>t.variable))}setMomentum(t){this.momentum=t}async getWeights(){return[await this.saveIterations()].concat(this.accumulations.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(t){t=await this.extractIterations(t);let e=!1;this.accumulations=t.map(n=>({originalName:n.name,variable:n.tensor.variable(e)}))}getConfig(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}static fromConfig(t,e){return new t(e.learningRate,e.momentum,e.useNesterov)}};fu.className=\"Momentum\";wn(fu);var du=class extends Gr{constructor(t,e=.9,n=0,o=null,s=!1){if(super(),this.learningRate=t,this.decay=e,this.momentum=n,this.epsilon=o,this.accumulatedMeanSquares=[],this.accumulatedMoments=[],this.accumulatedMeanGrads=[],this.centered=s,o==null&&(this.epsilon=T.backend.epsilon()),t==null)throw new Error(\"learningRate for RMSPropOptimizer must be defined.\")}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=T.registeredVariables[n],i=!1;this.accumulatedMeanSquares[o]==null&&(this.accumulatedMeanSquares[o]={originalName:`${n}/rms`,variable:B(()=>It(s).variable(i))}),this.accumulatedMoments[o]==null&&(this.accumulatedMoments[o]={originalName:`${n}/momentum`,variable:B(()=>It(s).variable(i))}),this.accumulatedMeanGrads[o]==null&&this.centered&&(this.accumulatedMeanGrads[o]={originalName:`${n}/mg`,variable:B(()=>It(s).variable(i))});let a=Array.isArray(t)?t[o].tensor:t[n];if(a==null)return;let u=this.accumulatedMeanSquares[o].variable,l=this.accumulatedMoments[o].variable;B(()=>{let c=X(R(u,this.decay),R(Mt(a),1-this.decay));if(this.centered){let p=this.accumulatedMeanGrads[o].variable,m=X(R(p,this.decay),R(a,1-this.decay)),f=pt(R(a,this.learningRate),ve(ct(c,X(Mt(m),this.epsilon)))),d=X(R(l,this.momentum),f);u.assign(c),p.assign(m),l.assign(d);let h=ct(s,d);s.assign(h)}else{let p=X(R(u,this.decay),R(Mt(a),1-this.decay)),m=X(R(l,this.momentum),pt(R(a,this.learningRate),ve(X(p,this.epsilon))));u.assign(p),l.assign(m);let f=ct(s,m);s.assign(f)}})}),this.incrementIterations()}dispose(){this.accumulatedMeanSquares!=null&&St(this.accumulatedMeanSquares.map(t=>t.variable)),this.accumulatedMeanGrads!=null&&this.centered&&St(this.accumulatedMeanGrads.map(t=>t.variable)),this.accumulatedMoments!=null&&St(this.accumulatedMoments.map(t=>t.variable))}async getWeights(){let t=[...this.accumulatedMeanSquares,...this.accumulatedMoments];return this.centered&&t.push(...this.accumulatedMeanGrads),[await this.saveIterations()].concat(t.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(t){t=await this.extractIterations(t);let e=this.centered?t.length/3:t.length/2,n=!1;this.accumulatedMeanSquares=t.slice(0,e).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.accumulatedMoments=t.slice(e,e*2).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.centered&&(this.accumulatedMeanGrads=t.slice(e*2,e*3).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})))}getConfig(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}}static fromConfig(t,e){return new t(e.learningRate,e.decay,e.momentum,e.epsilon,e.centered)}};du.className=\"RMSProp\";wn(du);var Vs=class{static sgd(t){return new Mi(t)}static momentum(t,e,n=!1){return new fu(t,e,n)}static rmsprop(t,e=.9,n=0,o=null,s=!1){return new du(t,e,n,o,s)}static adam(t=.001,e=.9,n=.999,o=null){return new pu(t,e,n,o)}static adadelta(t=.001,e=.95,n=null){return new uu(t,e,n)}static adamax(t=.002,e=.9,n=.999,o=null,s=0){return new mu(t,e,n,o,s)}static adagrad(t,e=.1){return new cu(t,e)}};var ic={sgd:Vs.sgd,momentum:Vs.momentum,adadelta:Vs.adadelta,adagrad:Vs.adagrad,rmsprop:Vs.rmsprop,adamax:Vs.adamax,adam:Vs.adam};var sX=(()=>typeof requestAnimationFrame!=\"undefined\"?requestAnimationFrame:typeof setImmediate!=\"undefined\"?setImmediate:r=>r())();function ph(){return new Promise(r=>sX(()=>r()))}var S={};Gt(S,{ERF_A1:()=>wX,ERF_A2:()=>CX,ERF_A3:()=>IX,ERF_A4:()=>vX,ERF_A5:()=>SX,ERF_P:()=>bX,PARALLELIZE_THRESHOLD:()=>fy,RowPartitionType:()=>zi,SELU_SCALE:()=>l0,SELU_SCALEALPHA:()=>a0,applyActivation:()=>oc,assertAndGetBroadcastShape:()=>Pt,assertAxesAreInnerMostDims:()=>Rq,assertParamsConsistent:()=>iX,assignToTypedArray:()=>AX,axesAreInnerMostDims:()=>KS,calculateShapes:()=>xE,checkEinsumDimSizes:()=>PX,checkPadOnDimRoundingMode:()=>Ie,combineLocations:()=>VE,combineRaggedTensorToTensorShapes:()=>lX,complexWithEvenIndex:()=>TX,complexWithOddIndex:()=>EX,computeConv2DInfo:()=>Ku,computeConv3DInfo:()=>RE,computeDefaultPad:()=>qS,computeDilation2DInfo:()=>OH,computeOptimalWindowSize:()=>mX,computeOutAndReduceShapes:()=>jS,computeOutShape:()=>aX,computePool2DInfo:()=>HS,computePool3DInfo:()=>PH,convertConv2DDataFormat:()=>FE,decodeEinsumEquation:()=>FX,eitherStridesOrDilationsAreOne:()=>_r,expandShapeToKeepDim:()=>xo,exponent:()=>DX,exponents:()=>$X,fromStringArrayToUint8:()=>n5,fromUint8ToStringArray:()=>r5,getAxesPermutation:()=>XS,getBroadcastDims:()=>dE,getComplexWithIndex:()=>_X,getEinsumComputePath:()=>LX,getEinsumPermutation:()=>OX,getFusedBiasGradient:()=>nc,getFusedDyActivation:()=>rc,getImageCenter:()=>fX,getInnerMostAxes:()=>Fq,getPermuted:()=>hX,getRaggedRank:()=>cX,getReductionAxes:()=>ge,getReshaped:()=>dX,getReshapedPermuted:()=>gX,getRowPartitionTypesHelper:()=>uX,getSliceBeginCoords:()=>xX,getSliceSize:()=>yX,getSparseFillEmptyRowsIndicesDenseShapeMismatch:()=>VX,getSparseFillEmptyRowsNegativeIndexErrorMessage:()=>GX,getSparseFillEmptyRowsOutOfRangeIndexErrorMessage:()=>WX,getSparseReshapeEmptyTensorZeroOutputDimErrorMessage:()=>qX,getSparseReshapeInputOutputMismatchErrorMessage:()=>jX,getSparseReshapeInputOutputMultipleErrorMessage:()=>KX,getSparseReshapeMultipleNegativeOneOutputDimErrorMessage:()=>UX,getSparseReshapeNegativeOutputDimErrorMessage:()=>HX,getSparseSegmentReductionIndicesOutOfRangeErrorMessage:()=>JX,getSparseSegmentReductionNegativeSegmentIdsErrorMessage:()=>XX,getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage:()=>YX,getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage:()=>ZX,getUndoAxesPermutation:()=>ih,isIdentityPermutation:()=>MX,log:()=>qU,mergeRealAndImagArrays:()=>NX,prepareAndValidate:()=>gE,prepareSplitSize:()=>BX,segment_util:()=>c0,shouldFuse:()=>sc,slice_util:()=>Pe,splitRealAndImagArrays:()=>kX,tupleValuesAreOne:()=>Qn,upcastType:()=>or,validateDefaultValueShape:()=>pX,validateInput:()=>tx,validateUpdateShape:()=>zS,warn:()=>Ii});function iX(r,t){let e=r[0].length;r.forEach((o,s)=>{E(o.length===e,()=>`Error in concat${e}D: rank of tensors[${s}] must be the same as the rank of the rest (${e})`)}),E(t>=0&&t`Error in concat${e}D: axis must be between 0 and ${e-1}.`);let n=r[0];r.forEach((o,s)=>{for(let i=0;i`Error in concat${e}D: Shape of tensors[${s}] (${o}) does not match the shape of the rest (${n}) along the non-concatenated axis ${s}.`)})}function aX(r,t){let e=r[0].slice();for(let n=1;n=0)if(a>=0){if(a!==s)throw new Error(`rt input.shape and shape=${t} are incompatible: rt input.shape[${o+r}] = ${s} but shape[${o+r}] = ${a}`)}else n[i]=s}return n}function uX(r){let t={FIRST_DIM_SIZE:zi.FIRST_DIM_SIZE,VALUE_ROWIDS:zi.VALUE_ROWIDS,ROW_LENGTHS:zi.ROW_LENGTHS,ROW_SPLITS:zi.ROW_SPLITS,ROW_LIMITS:zi.ROW_LIMITS,ROW_STARTS:zi.ROW_STARTS},e=[];for(let n of r)if(n in t)e.push(t[n]);else break;return e}function cX(r){return r.length===0?0:r[0]===zi.FIRST_DIM_SIZE?r.length-1:r.length}function pX(r,t){if(r==null||t==null)return;let e=r.length,n=t.length;if(e>=n)throw new Error(`defaultValue.shape=${r} and ragged tensor flatValues.shape=${t}, are incompatible: defaultValue.rank = ${e} must be less than ragged tensor input flatValues.rank = ${n})`);for(let o=0;o=0&&i>=0&&s!==1&&s!==i)throw new Error(`defaultValue.shape=${r}, and ragged tensor input flatValues.shape=${t} are incompatible: defaultValue.shape[${o-r.length}] = ${s} but ragged tensor input.flatValues.shape[${o-r.length}] = ${i}`)}}var fy=30;function mX(r){return r<=fy?r:sp(r,Math.floor(Math.sqrt(r)))}function fX(r,t,e){let n=e*(typeof r==\"number\"?r:r[0]),o=t*(typeof r==\"number\"?r:r[1]);return[n,o]}function dX(r,t,e,n=!0){let o=[];if(n)o=o.concat(t.slice(0)),o.push(r[0]/e),o=o.concat(r.slice(1));else{o=o.concat(r[0]);let s=t.length;for(let i=0;i=t*2+1||i%2===1?s.push(i):o.push(i);n.push(...o),n.push(0),n.push(...s)}return n}function gX(r,t,e,n=!0){let o=[];n?o.push(r[0]/e):o.push(r[0]*e);for(let s=1;s\",RX=/->/g,gA=\",\",xA=\"...\";function FX(r,t){r=r.replace(/\\s/g,\"\");let e=(r.length-r.replace(RX,\"\").length)/u0.length;if(e<1)throw new Error(\"Equations without an arrow are not supported.\");if(e>1)throw new Error(`Equation must contain exactly one arrow (\"${u0}\").`);let[n,o]=r.split(u0);E(n.indexOf(xA)===-1,()=>`The ellipsis notation (\"${xA}\") is not supported yet.`);let s=n.split(gA),i=s.length;if(t!==i)throw new Error(`Expected ${i} input tensors, received ${t}`);if(i>2)throw new Error(\"Support for more than 2 input tensors is not implemented yet.\");let a=[];for(let m=0;md.indexOf(f)!==-1))throw new Error(`Output subscripts contain the label ${f} not present in the input subscripts.`);a.indexOf(f)===-1&&a.push(f)}for(let m=0;mo!==-1),{permutationIndices:e,expandDims:n}}function PX(r,t,e){let n=new Array(r);for(let o=0;o`Expected dimension ${n[t[o][i]]} at axis ${i} of input shaped ${JSON.stringify(s)}, but got dimension ${s[i]}`)}}function LX(r,t){let e=r,n=[],o=0;r.length===0&&e.push(-1),o=r.length+1;for(let i=0;it===e)}function zX(r,t){let e=[];for(let n=0;n\"Number of splits must evenly divide the axis.\"),n=new Array(t).fill(r.shape[e]/t);else{let o=t.reduce((i,a)=>(a===-1&&(i+=1),i),0);E(o<=1,()=>\"There should be only one negative value in split array.\");let s=t.indexOf(-1);if(s!==-1){let i=t.reduce((a,u)=>u>0?a+u:a);t[s]=r.shape[e]-i}E(r.shape[e]===t.reduce((i,a)=>i+a),()=>\"The sum of sizes must match the size of the axis dimension.\"),n=t}return n}function VX(r){return`Received SparseTensor with denseShape[0] = 0 but\n indices.shape[0] = ${r}`}function GX(r,t){return`indices(${r}, 0) is invalid: ${t} < 0`}function WX(r,t,e){return`indices(${r}, 0) is invalid: ${t} >= ${e}`}function UX(r,t){return`only one output dimension may be -1, not both ${r} and ${t}`}function HX(r,t){return`size ${r} must be non-negative, not ${t}`}function qX(){return\"reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero\"}function KX(r,t){let e=Zt(r),n=Zt(t);return`Input to reshape is a SparseTensor with ${e}\n dense values, but the requested shape requires a multiple of ${n}. inputShape=${r} outputShape= ${t}`}function jX(r,t){let e=Zt(r),n=Zt(t);return`Input to reshape is a tensor with ${e} dense values, but the requested shape has ${n}. inputShape=${r} outputShape=${t}`}function XX(){return\"segment ids must be >= 0\"}function YX(){return\"segment ids are not increasing\"}function ZX(r,t){return`Segment id ${r} out of range [0, ${t}), possibly because segmentIds input is not sorted.`}function JX(r,t,e){return`Bad: indices[${r}] == ${t} out of range [0, ${e})`}var c0={};Gt(c0,{collectGatherOpShapeInfo:()=>e5,computeOutShape:()=>t5,segOpComputeOptimalWindowSize:()=>QX});function QX(r,t){let e=!1,n;for(r<=fy?(n=r,e=!0):n=sp(r,Math.floor(Math.sqrt(r)));!e;)n>t||n===r?e=!0:n=sp(r,n+1);return n}function t5(r,t,e){let n=[],o=r.length;for(let s=0;so))throw new Error(`Expect batchDims in the range of [-${o}, ${o}], but got ${n}`);if(n<0&&(n+=o),n>s)throw new Error(`batchDims (${n}) must be less than rank(x) (\n ${s}).`);if(eGp(t))}catch(t){throw new Error(`Failed to decode encoded string bytes into utf-8, error: ${t}`)}}function n5(r){return r.map(t=>Wl(t))}var Wr={};Gt(Wr,{nonMaxSuppressionV3Impl:()=>ly,nonMaxSuppressionV4Impl:()=>uy,nonMaxSuppressionV5Impl:()=>cy,whereImpl:()=>ry});var dy={kernelName:oi,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>R(r,yo(J(e,\"float32\"),-1))}}};var yA={kernelName:ra,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=Mt(J(e,\"float32\")),o=ve(ct(mt(1),n));return Ut(pt(r,o))}}}};var bA={kernelName:na,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=ve(ct(Mt(J(e,\"float32\")),1));return pt(r,n)}}}};var wA={kernelName:Yn,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=Pt(e.shape,n.shape);return{a:()=>{let a=r,u=ge(e.shape,o);return u.length>0&&(a=ft(a,u)),D(a,e.shape)},b:()=>{let a=r,u=ge(n.shape,o);return u.length>0&&(a=ft(a,u)),D(a,n.shape)}}}};var CA={kernelName:Vo,saveAllInputs:!0,gradFunc:(r,t)=>{let e={};return t.forEach((n,o)=>{e[o]=()=>r.clone()}),e}};var IA={kernelName:Go,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>It(e)}}};var vA={kernelName:Nl,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>It(e)}}};var SA={kernelName:ia,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,ve(ct(mt(1),Mt(J(e,\"float32\")))))}}};var NA={kernelName:aa,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=ve(X(mt(1),Mt(J(e,\"float32\"))));return pt(r,n)}}}};var kA={kernelName:ca,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=Pt(e.shape,n.shape);return{a:()=>{let a=X(Mt(e),Mt(n)),u=R(r,pt(n,a)),l=ge(e.shape,o);return l.length>0&&(u=ft(u,l)),D(u,e.shape)},b:()=>{let a=X(Mt(e),Mt(n)),u=Ut(R(r,pt(e,a))),l=ge(n.shape,o);return l.length>0&&(u=ft(u,l)),D(u,n.shape)}}}};var TA={kernelName:la,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,X(Mt(J(e,\"float32\")),1))}}};var EA={kernelName:ua,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,ct(mt(1),Mt(J(e,\"float32\"))))}}};function o5(r,t,e,n,o,s){let i=I(r,\"dy\",\"avgPool3dGrad\"),a=I(t,\"input\",\"avgPool3dGrad\"),u=i,l=a,c=!1;a.rank===4&&(c=!0,u=D(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]]),l=D(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]])),E(u.rank===5,()=>`Error in avgPool3dGrad: dy must be rank 5 but got rank ${u.rank}.`),E(l.rank===5,()=>`Error in avgPool3dGrad: input must be rank 5 but got rank ${l.rank}.`),Ie(\"avgPool3dGrad\",o,s);let p={dy:u,input:l},m={filterSize:e,strides:n,pad:o,dimRoundingMode:s},f=T.runKernel(lp,p,m);return c?D(f,[f.shape[1],f.shape[2],f.shape[3],f.shape[4]]):f}var _A=k({avgPool3dGrad_:o5});var AA={kernelName:kl,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{filterSize:o,strides:s,pad:i,dimRoundingMode:a}=e;return{x:()=>_A(r,n,o,s,i,a)}}};function s5(r,t,e,n,o){let s=I(r,\"dy\",\"avgPoolGrad\"),i=I(t,\"input\",\"avgPoolGrad\");E(i.rank===s.rank,()=>`Rank of input (${i.rank}) does not match rank of dy (${s.rank})`);let a=i,u=s,l=!1;i.rank===3&&(l=!0,a=D(i,[1,i.shape[0],i.shape[1],i.shape[2]]),u=D(s,[1,s.shape[0],s.shape[1],s.shape[2]])),E(u.rank===4,()=>`Error in avgPoolGrad: dy must be rank 4 but got rank ${u.rank}.`),E(a.rank===4,()=>`Error in avgPoolGrad: input must be rank 4 but got rank ${a.rank}.`);let c={dy:u,input:a},p={filterSize:e,strides:n,pad:o},m=T.runKernel(ap,c,p);return l?D(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var $A=k({avgPoolGrad_:s5});var DA={kernelName:Wo,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{filterSize:o,strides:s,pad:i}=e;return{x:()=>$A(r,n,o,s,i)}}};var RA={kernelName:Uo,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t,e)=>{let[n,o]=t,{transposeA:s,transposeB:i}=e;return!s&&!i?{a:()=>Lt(r,o,!1,!0),b:()=>Lt(n,r,!0,!1)}:!s&&i?{a:()=>Lt(r,o,!1,!1),b:()=>Lt(r,n,!0,!1)}:s&&!i?{a:()=>Lt(o,r,!1,!0),b:()=>Lt(n,r,!1,!1)}:{a:()=>Lt(o,r,!0,!0),b:()=>Lt(r,n,!0,!0)}}};var FA={kernelName:si,gradFunc:(r,t,e)=>{let{blockShape:n,crops:o}=e;return{x:()=>eu(r,n,o)}}};var OA={kernelName:i1,gradFunc:(r,t,e)=>{let n=e,o=n.inputShape,s=n.shape,i=Array.from(s);for(let u=o.length-1;u>=0;u--)if(o[u]===s[u])i[u]=1;else if(o[u]!==1)throw new Error(`broadcastTo(): [${o}] cannot be broadcast to [${s}].`);let a=[];for(let u=0;u1&&a.push(u);return{x:()=>ft(r,a,!0)}}};var PA={kernelName:io,gradFunc:r=>({x:()=>r.clone()})};var LA={kernelName:Ho,gradFunc:r=>({x:()=>It(r)})};var MA={kernelName:ao,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{clipValueMin:o,clipValueMax:s}=e;return{x:()=>_e(Dr(Fn(n,o),On(n,s)),r,It(r))}}};var zA={kernelName:Tl,inputsToSave:[\"x\"],gradFunc:dy.gradFunc};var BA={kernelName:ii,saveAllInputs:!0,gradFunc:(r,t,e)=>{let n=t.map(u=>u.shape),{axis:o}=e,s=ar(o,t[0].shape)[0],i=n.map(u=>u[s]);return cr(r,i,s).map(u=>()=>u)}};var VA={kernelName:qo,inputsToSave:[\"x\",\"filter\"],gradFunc:(r,t,e)=>{let[n,o]=t,{dilations:s,strides:i,pad:a,dataFormat:u}=e;return E(Qn(s),()=>`Error in gradient of conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`),{x:()=>Qp(n.shape,r,o,i,a,u),filter:()=>wm(n,r,o.shape,i,a,u)}}};var GA={kernelName:Ko,inputsToSave:[\"dy\",\"filter\"],gradFunc:(r,t,e)=>{let[n,o]=t,{strides:s,pad:i,dataFormat:a,dimRoundingMode:u}=e;return{dy:()=>Cn(r,o,s,i,a,1,u),filter:()=>wm(r,n,o.shape,s,i,a,u)}}};function i5(r,t,e,n,o){let s=r;r.rank===4&&(s=D(r,[1,r.shape[0],r.shape[1],r.shape[2],r.shape[3]]));let i=t;i.rank===4&&(i=D(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]])),E(s.rank===5,()=>`Error in conv3dDerFilter: input must be rank 5, but got shape ${s.shape}.`),E(i.rank===5,()=>`Error in conv3dDerFilter: dy must be rank 5, but got shape ${i.shape}.`),E(e.length===5,()=>`Error in conv3dDerFilter: filterShape must be length 5, but got ${e}.`),E(s.shape[4]===e[3],()=>`Error in conv3dDerFilter: depth of input ${s.shape[4]}) must match input depth in filter (${e[3]}.`),E(i.shape[4]===e[4],()=>`Error in conv3dDerFilter: depth of dy (${i.shape[4]}) must match output depth for filter (${e[4]}).`);let a={x:s,dy:i},u={strides:n,pad:o,filterShape:e};return T.runKernel(fp,a,u)}var WA=k({conv3DBackpropFilter_:i5});var UA={kernelName:El,inputsToSave:[\"x\",\"filter\"],gradFunc:(r,t,e)=>{let{dilations:n,strides:o,pad:s}=e;E(Qn(n),()=>`Error in gradient of conv3D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${n}'`);let[i,a]=t;return{x:()=>Ix(i.shape,r,a,o,s),filter:()=>WA(i,r,a.shape,o,s)}}};var HA={kernelName:jo,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>R(Ut(mm(J(e,\"float32\"))),r)}}};var qA={kernelName:Xo,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>R(fm(J(e,\"float32\")),r)}}};var KA={kernelName:Yo,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{axis:o,exclusive:s,reverse:i}=e;return{x:()=>{let a=XS([o],n.rank),u=rm(r,o,s,!i);return a!=null&&(u=Ot(u,a)),u}}}};var jA={kernelName:Zo,inputsToSave:[\"x\",\"filter\"],gradFunc:(r,t,e)=>{let{dilations:n,strides:o,pad:s,dimRoundingMode:i}=e,a=n==null?[1,1]:n;E(Qn(a),()=>`Error in gradient of depthwiseConv2dNative: dilation rates greater than 1 are not yet supported. Got dilations '${a}'`);let[u,l]=t;return E(u.rank===4,()=>`Error in gradient of depthwiseConv2dNative: input must be rank 4, but got rank ${u.rank}.`),E(l.rank===4,()=>`Error in gradient of depthwiseConv2dNative: filter must be rank 4, but got rank ${l.rank}.`),E(u.shape[3]===l.shape[2],()=>`Error in gradient of depthwiseConv2d: number of input channels (${u.shape[3]}) must match the inChannels dimension in filter ${l.shape[2]}.`),E(_r(o,a),()=>`Error in gradient of depthwiseConv2d: Either strides or dilations must be 1. Got strides ${o} and dilations '${a}'.`),Ie(\"depthwiseConv2d\",s,i),{x:()=>sy(u.shape,r,l,o,s,a,i),filter:()=>oy(u,r,l.shape,o,s,a,i)}}};var XA={kernelName:_l,inputsToSave:[\"x\",\"filter\"],gradFunc:(r,t,e)=>{let[n,o]=t,s={x:n,filter:o,dy:r},i={x:n,filter:o,dy:r};return{x:()=>T.runKernel(Ud,s,e),filter:()=>T.runKernel(Hd,i,e)}}};var YA={kernelName:Qo,outputsToSave:[!0],gradFunc:(r,t)=>{let[e]=t,n={dy:r,y:e};return{x:()=>T.runKernel(wp,n)}}};var ZA={kernelName:da,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t,n=R(er(Ut(Mt(e))),2/Math.sqrt(Math.PI));return{x:()=>R(r,n)}}};var JA={kernelName:ts,outputsToSave:[!0],gradFunc:(r,t)=>{let[e]=t;return{x:()=>R(r,e)}}};var QA={kernelName:ai,inputsToSave:[\"input\"],gradFunc:(r,t)=>{let[e]=t;return{input:()=>D(r,e.shape)}}};var t2={kernelName:ga,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>R(r,er(e))}}};var e2={kernelName:es,gradFunc:r=>({x:()=>It(r)})};var r2={kernelName:rs,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=Pt(e.shape,n.shape);return{a:()=>{let a=pt(r,J(n,\"float32\")),u=ge(e.shape,o);return u.length>0?D(ft(a,u),e.shape):a},b:()=>{let a=R(r,J(e,\"float32\")),u=ge(n.shape,o);u.length>0&&(a=D(ft(a,u),n.shape));let l=Mt(n);return Ut(pt(a,J(l,\"float32\")))}}}};var n2={kernelName:ns,inputsToSave:[\"x\",\"mean\",\"variance\",\"scale\"],gradFunc:(r,t,e)=>{let{varianceEpsilon:n}=e,[o,s,i,a]=t,u=a==null?mt(1):a,l=ge(s.shape,o.shape),c=[];if(s.rank===1){for(let C=0;Cs.rank===1?D(R(R(r,$r(D(f,[1,1,1,s.shape[0]]),c)),u),o.shape):D(R(R(r,f),u),o.shape),mean:()=>{let C=R(R(f,mt(-1)),m);return s.rank===1&&(C=ft(C,l)),D(C,s.shape)},variance:()=>{let C=R(R(d,p),m);return s.rank===1&&(C=ft(C,l)),D(C,s.shape)},scale:()=>{let C=R(p,f),N=R(r,C);return s.rank===1&&(N=ft(N,l)),D(N,s.shape)},offset:()=>{let C=r;return s.rank===1&&(C=ft(C,l)),D(C,s.shape)}}}};var i2={kernelName:li,inputsToSave:[\"x\",\"indices\"],gradFunc:(r,t,e)=>{let[n,o]=t,{axis:s}=e,i=ar(s,n.shape)[0];return{x:()=>{let u=n.shape,l=o.size,c=u.slice(0,i),p=c.length,m=u.slice(s,u.length).slice(1),f=m.length,d=o2(0,p),h=o2(p+1,p+1+f),g=s2([c,[l],m]),x=D(r,g),b=D(o,[l]),w=s2([[p],d,h]),C=Ot(x,w),N=bm(C,b,n.shape[i]),_=ih(w);return N=Ot(N,_),N},indices:()=>o}}};function o2(r,t){let e=[];for(let n=r;n{let[e,n]=t;return{a:()=>It(e),b:()=>It(n)}}};var l2={kernelName:lo,gradFunc:r=>({x:()=>J(r,\"float32\")})};var u2={kernelName:wa,gradFunc:r=>({x:()=>It(r)})};var c2={kernelName:Ca,gradFunc:r=>({x:()=>It(r)})};var p2={kernelName:Ia,gradFunc:r=>({x:()=>It(r)})};var m2={kernelName:ss,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{alpha:o}=e,s=He(n,0);return{x:()=>_e(s,r,R(r,o))}}};var f2={kernelName:Na,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,X(e,1))}}};var d2={kernelName:is,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,J(e,\"float32\"))}}};var h2={kernelName:l1,inputsToSave:[],outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n]=t,{axis:o}=e;return{logits:()=>{let i=er(n);return ct(r,R(ft(r,o,!0),i))}}}};function a5(r,t,e,n=5,o=1,s=1,i=.5){let a={x:r,y:t,dy:e},u={depthRadius:n,bias:o,alpha:s,beta:i};return T.runKernel(Np,a,u)}var g2=k({localResponseNormalizationBackprop_:a5});var x2={kernelName:$l,inputsToSave:[\"x\"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n,o]=t,{depthRadius:s,bias:i,alpha:a,beta:u}=e;return{x:()=>g2(n,o,r,s,i,a,u)}}};function hy(r,t,e,n){return t.rankR(r,J(Ar(e,t),r.dtype))}}var p0={kernelName:as,inputsToSave:[\"x\"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let n=e,{reductionIndices:o}=n,s=t[0],i=t[1],a=ar(o,s.shape),u=hy(r,i,s,a);return{x:()=>u.x()}}};var y2={kernelName:ls,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t;return{a:()=>R(r,J(Fn(e,n),\"float32\")),b:()=>R(r,J(nm(e,n),\"float32\"))}}};function l5(r,t,e,n,o,s,i){let a=I(r,\"dy\",\"maxPool3dGrad\"),u=I(t,\"input\",\"maxPool3dGrad\"),l=I(e,\"output\",\"maxPool3dGrad\"),c=a,p=u,m=l,f=!1;u.rank===4&&(f=!0,c=D(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]]),p=D(u,[1,u.shape[0],u.shape[1],u.shape[2],u.shape[3]]),m=D(l,[1,l.shape[0],l.shape[1],l.shape[2],l.shape[3]])),E(c.rank===5,()=>`Error in maxPool3dGrad: dy must be rank 5 but got rank ${c.rank}.`),E(p.rank===5,()=>`Error in maxPool3dGrad: input must be rank 5 but got rank ${p.rank}.`),E(m.rank===5,()=>`Error in maxPool3dGrad: output must be rank 5 but got rank ${m.rank}.`),Ie(\"maxPool3dGrad\",s,i);let d={dy:c,input:p,output:m},h={filterSize:n,strides:o,pad:s,dimRoundingMode:i},g=T.runKernel(Tp,d,h);return f?D(g,[g.shape[1],g.shape[2],g.shape[3],g.shape[4]]):g}var b2=k({maxPool3dGrad_:l5});var w2={kernelName:Dl,inputsToSave:[\"x\"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n,o]=t,{filterSize:s,strides:i,pad:a,dimRoundingMode:u}=e;return{x:()=>b2(r,n,o,s,i,a,u)}}};function u5(r,t,e,n,o,s,i){let a=I(r,\"dy\",\"maxPoolGrad\"),u=I(t,\"input\",\"maxPoolGrad\"),l=I(e,\"output\",\"maxPoolGrad\");E(u.rank===a.rank,()=>`Rank of input (${u.rank}) does not match rank of dy (${a.rank})`),E(a.rank===4,()=>`Error in maxPoolGrad: dy must be rank 4 but got rank ${a.rank}.`),E(u.rank===4,()=>`Error in maxPoolGrad: input must be rank 4 but got rank ${u.rank}.`),Ie(\"maxPoolGrad\",s,i);let c={dy:a,input:u,output:l},p={filterSize:n,strides:o,pad:s,dimRoundingMode:i};return T.runKernel(kp,c,p)}var C2=k({maxPoolGrad_:u5});var I2={kernelName:us,inputsToSave:[\"x\"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n,o]=t,{filterSize:s,strides:i,pad:a}=e;return{x:()=>C2(r,n,o,s,i,a)}}};var v2={kernelName:cs,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{axis:o}=e,s=ar(o,n.shape),a=jS(n.shape,s)[1],u=Zt(a);return{x:()=>{let c=n.shape.slice();s.forEach(f=>{c[f]=1});let p=D(r,c);return pt(R(p,lr(n.shape,\"float32\")),u)}}}};var S2={kernelName:ps,inputsToSave:[\"x\"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let n=e,{axis:o}=n,[s,i]=t,a=ar(o,s.shape),u=hy(r,i,s,a);return{x:()=>u.x()}}};var N2={kernelName:ms,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t;return{a:()=>R(r,J(On(e,n),\"float32\")),b:()=>R(r,J(He(e,n),\"float32\"))}}};var k2={kernelName:fs,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let n=t[0],{paddings:o}=e,s=o.map(i=>i[0]);return{x:()=>Dt(r,s,n.shape)}}};var T2={kernelName:_a,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=Pt(e.shape,n.shape);return{a:()=>{let a=ge(e.shape,o);return a.length>0?D(ft(r,a),e.shape):r},b:()=>{let a=R(r,Ut(Fi(pt(e,n)))),u=ge(n.shape,o);return u.length>0?D(ft(a,u),n.shape):a}}}};var E2={kernelName:ds,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=Pt(e.shape,n.shape);return{a:()=>{let a=R(r,J(n,\"float32\")),u=ge(e.shape,o);return u.length>0?D(ft(a,u),e.shape):a},b:()=>{let a=R(r,J(e,\"float32\")),u=ge(n.shape,o);return u.length>0?D(ft(a,u),n.shape):a}}}};var _2={kernelName:ui,gradFunc:r=>({x:()=>Ut(r)})};var A2={kernelName:hs,inputsToSave:[\"indices\"],gradFunc:(r,t)=>{let e=t[0];return{indices:()=>Ne(e.shape,\"float32\")}}};var $2={kernelName:ci,gradFunc:r=>({x:()=>It(r)})};var D2={kernelName:pi,saveAllInputs:!0,gradFunc:(r,t,e)=>{let{axis:n}=e;return vr(r,n).map(s=>()=>s)}};var m0={kernelName:gs,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let n=t[0],{paddings:o}=e,s=o.map(i=>i[0]);return{x:()=>Dt(r,s,n.shape)}}};var R2={kernelName:xs,inputsToSave:[\"a\",\"b\"],outputsToSave:[!0],gradFunc:(r,t)=>{let[e,n,o]=t,s=e,i=n,a=Pt(s.shape,i.shape);return{a:()=>{let c=J(i,\"float32\"),p=R(r,R(c,an(s,ct(c,mt(1))))),m=ge(s.shape,a);return m.length>0&&(p=ft(p,m)),D(p,s.shape)},b:()=>{let c=He(s,0),p=_e(c,Ir(s),It(s)),m=R(r,R(o,p)),f=ge(i.shape,a);return f.length>0&&(m=ft(m,f)),D(m,i.shape)}}}};var F2={kernelName:ys,inputsToSave:[\"x\",\"alpha\"],gradFunc:(r,t)=>{let[e,n]=t,o=He(e,0);return{x:()=>_e(o,r,R(r,n)),alpha:()=>{let s=_e(o,It(r),R(r,e)),i=ge(n.shape,r.shape);return i.length>0&&(s=ft(s,i)),D(s,n.shape)}}}};function c5(r,t,e){let n=r.shape.slice();n[e]=1;let o=D(t,n),s=ju(r,e,!0,!1),i=ju(r,e,!0,!0),a=R(s,i);return R(o,a)}function p5(r,t,e){let n=r.shape.length,o=n-e.length,s=S.getAxesPermutation(e,n),i=r;s!=null&&(i=Ot(r,s));let a=i.shape.slice(),l=a.splice(n-e.length,e.length).reduce((m,f)=>m*f,1);a.push(l);let c=i.reshape(a),p=c5(c,t,o);if(p=p.reshape(i.shape),s!=null){let m=S.getUndoAxesPermutation(s);p=Ot(p,m)}return p}var O2={kernelName:bs,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{axis:o}=e,s=[];return o==null?s=n.shape.map((i,a)=>a):typeof o==\"number\"?s=[o]:s=o,{x:()=>p5(n,r,s)}}};var P2={kernelName:Jo,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=Pt(e.shape,n.shape);return{a:()=>{let a=pt(r,J(n,\"float32\")),u=ge(e.shape,o);return u.length>0?D(ft(a,u),e.shape):a},b:()=>{let a=R(r,J(e,\"float32\")),u=ge(n.shape,o);u.length>0&&(a=D(ft(a,u),n.shape));let l=Mt(n);return Ut(pt(a,J(l,\"float32\")))}}}};var L2={kernelName:Fa,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,Ut(Mt(e)))}}};var M2={kernelName:vs,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t,n=R(On(e,6),yo(e));return{x:()=>R(r,J(n,\"float32\"))}}};var z2={kernelName:ws,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>R(r,J(yo(e),\"float32\"))}}};var B2={kernelName:mi,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,e.shape)}}};var V2={kernelName:Is,inputsToSave:[\"images\"],gradFunc:(r,t,e)=>{let[n]=t,o={dy:r,images:n};return{images:()=>T.runKernel(Fp,o,e)}}};var G2={kernelName:Cs,inputsToSave:[\"images\"],gradFunc:(r,t,e)=>{let[n]=t,o={dy:r,images:n};return{images:()=>T.runKernel(Rp,o,e)}}};var W2={kernelName:Ss,gradFunc:(r,t,e)=>{let{dims:n}=e,o=ar(n,r.shape);return{x:()=>ur(r,o)}}};var U2={kernelName:Ns,gradFunc:r=>({x:()=>It(r)})};var H2={kernelName:ks,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>Ut(pt(r,R(an(e,1.5),2)))}}};var q2={kernelName:fi,inputsToSave:[\"condition\"],gradFunc:(r,t)=>{let[e]=t;return{condition:()=>J(It(e),\"float32\"),t:()=>R(r,J(e,r.dtype)),e:()=>R(r,J(Ql(e),r.dtype))}}};var K2={kernelName:Pa,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=He(e,mt(0)),o=mt(a0),s=mt(l0),i=R(r,s),a=R(R(r,o),er(J(e,\"float32\")));return _e(n,i,a)}}}};var j2={kernelName:Es,outputsToSave:[!0],gradFunc:(r,t)=>{let[e]=t;return{x:()=>R(r,R(e,ct(mt(1),e)))}}};var X2={kernelName:Ma,gradFunc:r=>({x:()=>It(r)})};var Y2={kernelName:Ts,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>R(Yl(J(e,\"float32\")),r)}}};var Z2={kernelName:La,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>R(em(J(e,\"float32\")),r)}}};var J2={kernelName:di,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{begin:o,size:s}=e,i=n.shape,[a,u]=VS(n,o,s),l=[];for(let c=0;cun(r,l)}}};var Q2={kernelName:$s,outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n]=t,{dim:o}=e,s=!0,i=R(r,n);return{logits:()=>ct(i,R(ft(i,[o],s),n))}}};var t$={kernelName:za,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>R(r,Xr(e))}}};var f0={kernelName:hi,gradFunc:(r,t,e)=>{let{blockShape:n,paddings:o}=e;return{x:()=>Xl(r,n,o)}}};var d0={kernelName:gi,gradFunc:(r,t,e)=>{let{axis:n}=e;return{x:()=>ne(r,n)}}};var e$={kernelName:_s,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,R(ve(J(e,\"float32\")),2))}}};var r$={kernelName:Ll,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>R(r,R(J(e,\"float32\"),2))}}};var n$={kernelName:Ds,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=mt(2);return{a:()=>R(r,R(o,ct(e,n))),b:()=>R(r,R(o,ct(n,e)))}}};var o$={kernelName:uo,gradFunc:r=>({x:()=>It(r)})};var s$={kernelName:Rs,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=Pt(e.shape,n.shape);return{a:()=>{let a=r,u=ge(e.shape,o);return u.length>0&&(a=ft(a,u)),D(a,e.shape)},b:()=>{let a=r,u=ge(n.shape,o);return u.length>0&&(a=ft(a,u)),D(Ut(a),n.shape)}}}};var i$={kernelName:As,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,o=n.shape.slice(),{axis:s}=e;ar(s,n.shape).forEach(l=>{o[l]=1});let a=D(r,o),u=R(a,lr(n.shape,\"float32\"));return{x:()=>u}}};var a$={kernelName:Fs,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,Mt(Yl(e)))}}};var l$={kernelName:Os,outputsToSave:[!0],gradFunc:(r,t)=>{let[e]=t;return{x:()=>R(ct(mt(1),Mt(e)),r)}}};var u$={kernelName:Zn,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{reps:o}=e;return{x:()=>{let i=It(n);if(n.rank===1)for(let a=0;a{let n=e,{perm:o}=n,s=ih(o);return{x:()=>Ot(r,s)}}};var p$={kernelName:xi,gradFunc:(r,t,e)=>{let n=e,{axis:o}=n;return{value:()=>rr(r,o)}}};var m$={kernelName:Vl,inputsToSave:[\"segmentIds\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>m5(r,e)}}};function m5(r,t){let e=In(t,It(t)),n=Oi(r,e),o=Fn(t,mt(0,\"int32\")),s=n.rank-o.rank;for(let a=0;a({x:()=>It(r)})};var f5=[dy,yA,bA,wA,CA,IA,vA,SA,NA,kA,TA,EA,AA,DA,RA,FA,OA,PA,LA,MA,zA,BA,GA,VA,UA,HA,qA,KA,jA,XA,P2,YA,ZA,JA,QA,t2,r2,e2,n2,i2,a2,l2,u2,c2,p2,m2,f2,d2,h2,x2,p0,p0,y2,w2,I2,v2,S2,N2,k2,T2,E2,_2,A2,$2,D2,m0,m0,R2,F2,O2,L2,M2,z2,B2,V2,G2,W2,U2,H2,q2,K2,j2,X2,Y2,Z2,J2,Q2,t$,f0,f0,d0,d0,e$,n$,r$,o$,s$,i$,a$,l$,u$,c$,p$,m$,f$];for(let r of f5)c1(r);O().prototype.abs=function(){return this.throwIfDisposed(),Ee(this)};O().prototype.acos=function(){return this.throwIfDisposed(),rx(this)};O().prototype.acosh=function(){return this.throwIfDisposed(),nx(this)};O().prototype.add=function(r){return this.throwIfDisposed(),X(this,r)};O().prototype.all=function(r,t){return this.throwIfDisposed(),Yp(this,r,t)};O().prototype.any=function(r,t){return this.throwIfDisposed(),Hu(this,r,t)};O().prototype.argMax=function(r){return this.throwIfDisposed(),Ei(this,r)};O().prototype.argMin=function(r){return this.throwIfDisposed(),ox(this,r)};O().prototype.asScalar=function(){return this.throwIfDisposed(),E(this.size===1,()=>\"The array must have only 1 element.\"),D(this,[])};O().prototype.asType=function(r){return this.throwIfDisposed(),J(this,r)};O().prototype.as1D=function(){return this.throwIfDisposed(),D(this,[this.size])};O().prototype.as2D=function(r,t){return this.throwIfDisposed(),D(this,[r,t])};O().prototype.as3D=function(r,t,e){return this.throwIfDisposed(),D(this,[r,t,e])};O().prototype.as4D=function(r,t,e,n){return this.throwIfDisposed(),D(this,[r,t,e,n])};O().prototype.as5D=function(r,t,e,n,o){return this.throwIfDisposed(),D(this,[r,t,e,n,o])};O().prototype.asin=function(){return this.throwIfDisposed(),sx(this)};O().prototype.asinh=function(){return this.throwIfDisposed(),ix(this)};O().prototype.atan=function(){return this.throwIfDisposed(),ax(this)};O().prototype.atan2=function(r){return this.throwIfDisposed(),lx(this,r)};O().prototype.atanh=function(){return this.throwIfDisposed(),ux(this)};O().prototype.avgPool=function(r,t,e,n){return this.throwIfDisposed(),jl(this,r,t,e,n)};O().prototype.batchToSpaceND=function(r,t){return this.throwIfDisposed(),Xl(this,r,t)};O().prototype.batchNorm=function(r,t,e,n,o){return this.throwIfDisposed(),Ai(this,r,t,e,n,o)};O().prototype.broadcastTo=function(r){return this.throwIfDisposed(),$i(this,r)};O().prototype.cast=function(r){return this.throwIfDisposed(),J(this,r)};O().prototype.ceil=function(){return this.throwIfDisposed(),gx(this)};O().prototype.clipByValue=function(r,t){return this.throwIfDisposed(),Cr(this,r,t)};O().prototype.concat=function(r,t){return this.throwIfDisposed(),r instanceof Ft&&(r=[r]),ne([this,...r],t)};O().prototype.conv1d=function(r,t,e,n,o,s){return this.throwIfDisposed(),Jp(this,r,t,e,n,o,s)};O().prototype.conv2dTranspose=function(r,t,e,n,o){return this.throwIfDisposed(),tm(this,r,t,e,n,o)};O().prototype.conv2d=function(r,t,e,n,o,s){return this.throwIfDisposed(),Cn(this,r,t,e,n,o,s)};O().prototype.cos=function(){return this.throwIfDisposed(),Yl(this)};O().prototype.cosh=function(){return this.throwIfDisposed(),em(this)};O().prototype.cumprod=function(r,t,e){return this.throwIfDisposed(),ju(this,r,t,e)};O().prototype.cumsum=function(r,t,e){return this.throwIfDisposed(),rm(this,r,t,e)};O().prototype.depthToSpace=function(r,t){return this.throwIfDisposed(),Sx(this,r,t)};O().prototype.depthwiseConv2d=function(r,t,e,n,o,s){return this.throwIfDisposed(),Di(this,r,t,e,n,o,s)};O().prototype.dilation2d=function(r,t,e,n,o){return this.throwIfDisposed(),Nx(this,r,t,e,n,o)};O().prototype.divNoNan=function(r){return this.throwIfDisposed(),kx(this,r)};O().prototype.div=function(r){return this.throwIfDisposed(),pt(this,r)};O().prototype.dot=function(r){return this.throwIfDisposed(),Tx(this,r)};O().prototype.elu=function(){return this.throwIfDisposed(),Ri(this)};O().prototype.equal=function(r){return this.throwIfDisposed(),Ar(this,r)};O().prototype.erf=function(){return this.throwIfDisposed(),Ex(this)};O().prototype.euclideanNorm=function(r,t){return this.throwIfDisposed(),_x(this,r,t)};O().prototype.exp=function(){return this.throwIfDisposed(),er(this)};O().prototype.expandDims=function(r){return this.throwIfDisposed(),gr(this,r)};O().prototype.expm1=function(){return this.throwIfDisposed(),Ax(this)};O().prototype.fft=function(){return this.throwIfDisposed(),su(this)};O().prototype.flatten=function(){return this.throwIfDisposed(),D(this,[this.size])};O().prototype.floor=function(){return this.throwIfDisposed(),Fi(this)};O().prototype.floorDiv=function(r){return this.throwIfDisposed(),Xp(this,r)};O().prototype.gather=function(r,t){return this.throwIfDisposed(),Oi(this,r,t)};O().prototype.greaterEqual=function(r){return this.throwIfDisposed(),Fn(this,r)};O().prototype.greater=function(r){return this.throwIfDisposed(),He(this,r)};O().prototype.ifft=function(){return this.throwIfDisposed(),Za(this)};O().prototype.irfft=function(){return this.throwIfDisposed(),gm(this)};O().prototype.isFinite=function(){return this.throwIfDisposed(),$x(this)};O().prototype.isInf=function(){return this.throwIfDisposed(),Dx(this)};O().prototype.isNaN=function(){return this.throwIfDisposed(),Rx(this)};O().prototype.leakyRelu=function(r){return this.throwIfDisposed(),Zl(this,r)};O().prototype.lessEqual=function(r){return this.throwIfDisposed(),On(this,r)};O().prototype.less=function(r){return this.throwIfDisposed(),nm(this,r)};O().prototype.localResponseNormalization=function(r,t,e,n){return this.throwIfDisposed(),Fx(this,r,t,e,n)};O().prototype.logSigmoid=function(){return this.throwIfDisposed(),Lx(this)};O().prototype.logSoftmax=function(r){return this.throwIfDisposed(),om(this,r)};O().prototype.logSumExp=function(r,t){return this.throwIfDisposed(),sm(this,r,t)};O().prototype.log=function(){return this.throwIfDisposed(),Ir(this)};O().prototype.log1p=function(){return this.throwIfDisposed(),Jl(this)};O().prototype.logicalAnd=function(r){return this.throwIfDisposed(),Dr(this,r)};O().prototype.logicalNot=function(){return this.throwIfDisposed(),Ql(this)};O().prototype.logicalOr=function(r){return this.throwIfDisposed(),im(this,r)};O().prototype.logicalXor=function(r){return this.throwIfDisposed(),Mx(this,r)};O().prototype.matMul=function(r,t,e){return this.throwIfDisposed(),Lt(this,r,t,e)};O().prototype.maxPool=function(r,t,e,n){return this.throwIfDisposed(),tu(this,r,t,e,n)};O().prototype.max=function(r,t){return this.throwIfDisposed(),Br(this,r,t)};O().prototype.maximum=function(r){return this.throwIfDisposed(),In(this,r)};O().prototype.mean=function(r,t){return this.throwIfDisposed(),Se(this,r,t)};O().prototype.min=function(r,t){return this.throwIfDisposed(),Xu(this,r,t)};O().prototype.minimum=function(r){return this.throwIfDisposed(),Pi(this,r)};O().prototype.mirrorPad=function(r,t){return this.throwIfDisposed(),Vx(this,r,t)};O().prototype.mod=function(r){return this.throwIfDisposed(),Gx(this,r)};O().prototype.mul=function(r){return this.throwIfDisposed(),R(this,r)};O().prototype.neg=function(){return this.throwIfDisposed(),Ut(this)};O().prototype.norm=function(r,t,e){return this.throwIfDisposed(),Ya(this,r,t,e)};O().prototype.notEqual=function(r){return this.throwIfDisposed(),zs(this,r)};O().prototype.oneHot=function(r,t=1,e=0){return this.throwIfDisposed(),ki(this,r,t,e)};O().prototype.onesLike=function(){return this.throwIfDisposed(),xr(this)};O().prototype.pad=function(r,t){return this.throwIfDisposed(),un(this,r,t)};O().prototype.pool=function(r,t,e,n,o,s){return this.throwIfDisposed(),Wx(this,r,t,e,n,o,s)};O().prototype.pow=function(r){return this.throwIfDisposed(),an(this,r)};O().prototype.prelu=function(r){return this.throwIfDisposed(),ru(this,r)};O().prototype.prod=function(r,t){return this.throwIfDisposed(),Ux(this,r,t)};O().prototype.reciprocal=function(){return this.throwIfDisposed(),Xx(this)};O().prototype.relu=function(){return this.throwIfDisposed(),Rr(this)};O().prototype.relu6=function(){return this.throwIfDisposed(),am(this)};O().prototype.reshapeAs=function(r){return this.throwIfDisposed(),D(this,r.shape)};O().prototype.reshape=function(r){return this.throwIfDisposed(),D(this,r)};O().prototype.resizeBilinear=function(r,t,e){return this.throwIfDisposed(),py(this,r,t,e)};O().prototype.resizeNearestNeighbor=function(r,t,e){return this.throwIfDisposed(),my(this,r,t,e)};O().prototype.reverse=function(r){return this.throwIfDisposed(),ur(this,r)};O().prototype.rfft=function(){return this.throwIfDisposed(),iu(this)};O().prototype.round=function(){return this.throwIfDisposed(),lm(this)};O().prototype.rsqrt=function(){return this.throwIfDisposed(),um(this)};O().prototype.selu=function(){return this.throwIfDisposed(),cm(this)};O().prototype.separableConv2d=function(r,t,e,n,o,s){return this.throwIfDisposed(),pm(this,r,t,e,n,o,s)};O().prototype.sigmoid=function(){return this.throwIfDisposed(),Xr(this)};O().prototype.sign=function(){return this.throwIfDisposed(),Yx(this)};O().prototype.sin=function(){return this.throwIfDisposed(),mm(this)};O().prototype.sinh=function(){return this.throwIfDisposed(),fm(this)};O().prototype.slice=function(r,t){return this.throwIfDisposed(),Dt(this,r,t)};O().prototype.softmax=function(r){return this.throwIfDisposed(),ou(this,r)};O().prototype.softplus=function(){return this.throwIfDisposed(),Ms(this)};O().prototype.spaceToBatchND=function(r,t){return this.throwIfDisposed(),eu(this,r,t)};O().prototype.split=function(r,t){return this.throwIfDisposed(),cr(this,r,t)};O().prototype.sqrt=function(){return this.throwIfDisposed(),ve(this)};O().prototype.square=function(){return this.throwIfDisposed(),Mt(this)};O().prototype.squaredDifference=function(r){return this.throwIfDisposed(),xm(this,r)};O().prototype.squeeze=function(r){return this.throwIfDisposed(),Pn(this,r)};O().prototype.stack=function(r,t){this.throwIfDisposed();let e=r instanceof Ft?[this,r]:[this,...r];return rr(e,t)};O().prototype.step=function(r){return this.throwIfDisposed(),yo(this,r)};O().prototype.stridedSlice=function(r,t,e,n,o,s,i,a){return this.throwIfDisposed(),Zx(this,r,t,e,n,o,s,i,a)};O().prototype.sub=function(r){return this.throwIfDisposed(),ct(this,r)};O().prototype.sum=function(r,t){return this.throwIfDisposed(),ft(this,r,t)};O().prototype.tan=function(){return this.throwIfDisposed(),Jx(this)};O().prototype.tanh=function(){return this.throwIfDisposed(),_i(this)};O().prototype.tile=function(r){return this.throwIfDisposed(),$r(this,r)};O().prototype.toBool=function(){return this.throwIfDisposed(),J(this,\"bool\")};O().prototype.toFloat=function(){return this.throwIfDisposed(),J(this,\"float32\")};O().prototype.toInt=function(){return this.throwIfDisposed(),J(this,\"int32\")};O().prototype.topk=function(r,t){return this.throwIfDisposed(),Qx(this,r,t)};O().prototype.transpose=function(r){return this.throwIfDisposed(),Ot(this,r)};O().prototype.unique=function(r){return this.throwIfDisposed(),ty(this,r)};O().prototype.unsortedSegmentSum=function(r,t){return this.throwIfDisposed(),bm(this,r,t)};O().prototype.unstack=function(r){return this.throwIfDisposed(),vr(this,r)};O().prototype.where=function(r,t){return this.throwIfDisposed(),_e(r,this,t)};O().prototype.zerosLike=function(){return this.throwIfDisposed(),It(this)};var vn=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,vn.prototype)}},Ur=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,Ur.prototype)}},z=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,z.prototype)}},vt=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,vt.prototype)}},Cm=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,Cm.prototype)}};var mh=class{constructor(t){this.maxEntries=t||100,this.cache=new Map}get(t){let e;return this.cache.has(t)&&(e=this.cache.get(t),this.cache.delete(t),this.cache.set(t,e)),e}put(t,e){if(this.cache.has(t))this.cache.delete(t);else if(this.cache.size>=this.maxEntries){let n=this.cache.keys().next().value;this.cache.delete(n)}this.cache.set(t,e)}getMaxEntries(){return this.maxEntries}setMaxEntries(t){if(t<0)throw new Error(`The maxEntries of LRU caches must be at least 0, but got ${t}.`);if(this.maxEntries>t)for(let e=0;ee.toUpperCase())}var wo={};function Im(r){if(r==null)return null;let t={};return t.className=r.getClassName(),t.config=r.getConfig(),t}function h0(r){if(!(r==null||typeof r!=\"object\"))if(Array.isArray(r))r.forEach(t=>h0(t));else{let t=Object.keys(r);for(let e of t){let n=r[e];n!=null&&typeof n==\"object\"&&(!Array.isArray(n)&&n.type===\"ndarray\"&&typeof n.value==\"number\"?r[e]=n.value:h0(n))}}}function Bi(r,t={},e={},n=\"object\",o=!1){if(typeof r==\"string\"){let s=r,i;if(s in e)i=e[s];else if(s in wo)i=wo[s];else if(i=t[s],i==null)throw new z(`Unknown ${n}: ${r}. This may be due to one of the following reasons:\n1. The ${n} is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code.\n2. The custom ${n} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);return i}else{let s=r;if(s.className==null||s.config==null)throw new z(`${n}: Improper config format: ${JSON.stringify(s)}.\n'className' and 'config' must set.`);let i=s.className,a,u;if(i in e?[a,u]=e[i]:i in wo?[a,u]=wo.className:i in t&&([a,u]=t[i]),a==null)throw new z(`Unknown ${n}: ${i}. This may be due to one of the following reasons:\n1. The ${n} is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code.\n2. The custom ${n} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);if(u!=null){let l={};for(let f of Object.keys(wo))l[f]=wo[f];for(let f of Object.keys(e))l[f]=e[f];let c=s.config;c.customObjects=l;let p=Object.assign({},wo);for(let f of Object.keys(e))wo[f]=e[f];h0(s.config);let m=u(a,s.config,e,o);return wo=Object.assign({},p),m}else{let l=Object.assign({},wo);for(let p of Object.keys(e))wo[p]=e[p];let c=new a(s.config);return wo=Object.assign({},l),c}}}function d5(r,t){return rt?1:0}function fh(r,t){return-1*d5(r,t)}function vo(r){if(r==null)return r;let t=[];for(let e of r)t.indexOf(e)===-1&&t.push(e);return t}function d$(r){if(r==null)throw new z(`Invalid value in obj: ${JSON.stringify(r)}`);for(let t in r)if(r.hasOwnProperty(t))return!1;return!0}function Vi(r,t,e){if(e!=null&&r.indexOf(e)<0)throw new z(`${e} is not a valid ${t}. Valid values are ${r} or null/undefined.`)}function gy(r,t,e=0,n=1/0){return eo(e>=0),eo(n>=e),Array.isArray(r)&&r.length>=e&&r.length<=n&&r.every(o=>typeof o===t)}function Ze(r,t){Array.isArray(r)?(y.assert(r.length>0,()=>`${t} is unexpectedly an empty array.`),r.forEach((e,n)=>Ze(e,`element ${n+1} of ${t}`))):y.assert(Number.isInteger(r)&&r>0,()=>`Expected ${t} to be a positive integer, but got ${h$(r)}.`)}function h$(r){return r===null?\"null\":Array.isArray(r)?\"[\"+r.map(t=>h$(t)).join(\",\")+\"]\":typeof r==\"string\"?`\"${r}\"`:`${r}`}function g$(r,t,e){let n=e!=null?e():y.now(),o;return(...i)=>{let a=e!=null?e():y.now();return a-n0){let e=`${r}_${t}`;return vm.set(e,1),e}else return r}var x5=new RegExp(/^[A-Za-z0-9][-A-Za-z0-9\\._\\/]*$/);function S$(r){return!!r.match(x5)}function N$(r){return r===parseInt(r.toString(),10)}function So(r,t,e){t==null&&(t=0),e==null&&(e=r.length);let n=1;for(let o=t;ot&&(t=n)}return t}function Yr(r,t){if(t{if(r.shape.length!==2)throw new z(`repeat() expects a rank-2 tensor, but received a rank-${r.shape.length} tensor.`);let e=el(r,1);return vy(e,[1,t,1])})}function T$(r){let t=[So(r.shape)];return D(r,t)}function E$(r){if(r.rank<=1)throw new z(`batchFlatten requires a minimum rank of 2. Got rank: ${r.rank}.`);let t=[r.shape[0],So(r.shape,1)];return D(r,t)}function Qa(r,t,e){return B(()=>{switch(r.rank){case 1:return dm(r,t,e);case 2:return uh(r,[t,0],[e,r.shape[1]]);case 3:return hm(r,[t,0,0],[e,r.shape[1],r.shape[2]]);case 4:return ec(r,[t,0,0,0],[e,r.shape[1],r.shape[2],r.shape[3]]);case 5:return Dt(r,[t,0,0,0,0],[e,r.shape[1],r.shape[2],r.shape[3],r.shape[4]]);case 6:return Dt(r,[t,0,0,0,0,0],[e,r.shape[1],r.shape[2],r.shape[3],r.shape[4],r.shape[5]]);default:throw new z(`sliceAlongFirstAxis() received an unsupported tensor rank: ${r.rank}`)}})}function b0(r,t,e){return B(()=>{switch(r.rank){case 1:return dm(r,t,e);case 2:return uh(r,[0,t],[r.shape[0],e]);case 3:return hm(r,[0,0,t],[r.shape[0],r.shape[1],e]);case 4:return ec(r,[0,0,0,t],[r.shape[0],r.shape[1],r.shape[2],e]);default:throw new z(`sliceAlongLastAxis() received an unsupported tensor rank: ${r.rank}`)}})}function hh(r,t,e,n){return B(()=>{switch(r.rank){case 1:return dm(r,t,e);case 2:switch(n){case 1:return Qa(r,t,e);case 2:return b0(r,t,e);default:throw new z(`The axis is not within the rank of the tensor ${n}`)}case 3:switch(n){case 1:return Qa(r,t,e);case 2:return hm(r,[0,t,0],[r.shape[0],e,r.shape[2]]);case 3:return b0(r,t,e);default:throw new z(`The axis is not within the rank of the tensor ${n}`)}case 4:switch(n){case 1:return Qa(r,t,e);case 2:return ec(r,[0,t,0,0],[r.shape[0],e,r.shape[2],r.shape[3]]);case 3:return ec(r,[0,0,t,0],[r.shape[0],r.shape[1],e,r.shape[3]]);case 4:return b0(r,t,e);default:throw new z(`The axis is not within the rank of the tensor ${n}`)}default:throw new z(`sliceAlongLastAxis() received an unsupported tensor rank: ${r.rank}`)}})}function Sm(r,t=-1){let e;return t<0&&(e=r[0].rank,e!==0?t=e:t=0),t===r[0].rank&&(t=-1),ne(r,t)}function C0(r,t){switch(r.rank){case 1:return xx([r,t]);case 2:return yx([r,t],0);case 3:return bx([r,t],0);case 4:return wx([r,t],0);default:throw new z(`concatAlongFirstAxis() received an unsupported tensor rank: ${r.rank}`)}}function vy(r,t){if(Array.isArray(t)||(t=[t]),r.rank!==t.length)throw new z(`The length of input n (${t.length}) does not match the number of dimensions in input x (${r.rank})`);return $r(r,t)}function Nm(r,t=0,e=1,n,o){return tc(r,t,e,n,o)}function No(r,t,e,n){if(r.rank<2||t.rank<2)throw new vt(`dot requires both inputs to be rank >= 2 but got x shape = ${r.shape} and y shape = ${t.shape}`);if(t.rank>=3){let o=r.shape.slice(-1)[0],s=t.shape.slice(-2)[0];if(o!==s)throw new vt(`If rank y >= 3, then the second last dim of y must equal the last dim of x but got x shape = ${r.shape} and y shape = ${t.shape}`)}if(r.rank===2&&t.rank===2)return au.matMul({a:r,b:t,transposeA:!1,transposeB:!1,bias:n?w0(r.rank,n,pn()):null,activation:e});{let o=r.shape.slice(),s=o.pop();r=D(r,[-1,s]);let i=t.shape.slice(),a=i.pop(),u=i.pop(),l=[...i,a],c=Array.from({length:t.rank},(d,h)=>h===0?t.rank-2:h<=t.rank-2?h-1:h);t=D(Ot(t,c),[u,-1]);let p=[...o,...l],m=!1,f=!1;return D(au.matMul({a:r,b:t,transposeA:m,transposeB:f,bias:n?w0(r.rank,n,pn()):null,activation:e}),p)}}function Sy(r,t,e){return B(()=>(Array.isArray(t)?t=Le(t,\"int32\"):t=J(t,\"int32\"),Oi(r,t,e)))}function lc(r){return R(r,r)}function w0(r,t,e){let n=t.shape;if(t.rank!==1&&t.rank!==r)throw new z(`Unexpected bias dimensions: ${t.rank}; expected it to be 1 or ${r}`);if(r===5){if(e===\"channelsFirst\")return n.length===1?D(t,[1,n[0],1,1,1]):D(t,[1,n[3],n[0],n[1],n[2]]);if(e===\"channelsLast\")return n.length===1?D(t,[1,1,1,1,n[0]]):D(t,[1].concat(n))}else if(r===4){if(e===\"channelsFirst\")return n.length===1?D(t,[1,n[0],1,1]):D(t,[1,n[2],n[0],n[1]]);if(e===\"channelsLast\")return n.length===1?D(t,[1,1,1,n[0]]):D(t,[1].concat(n))}else if(r===3){if(e===\"channelsFirst\")return n.length===1?D(t,[1,n[0],1]):D(t,[1,n[1],n[0]]);if(e===\"channelsLast\")return n.length===1?D(t,[1,1,n[0]]):D(t,[1].concat(n))}else if(r<3)return t;throw new z(`Unsupported input rank by biasAdd: ${t.rank}`)}function mn(r,t,e){return B(()=>(e==null&&(e=pn()),Re(e),X(r,w0(r.rank,t,e))))}function _$(r,t=1){if(t!==1)throw new vt(`Support for alpha values other than 1 (${t}) is not implemented yet.`);return Ri(r)}function A$(r){return B(()=>pt(r,X(Ee(r),1)))}function Ny(r,t,e,n){return B(()=>n0(r,t,e,n))}function $$(r){return B(()=>{let t=X(.5,R(.2,r));return Cr(t,0,1)})}function gu(r,t,e=!1){return e?r():t()}var D$=[\"fanIn\",\"fanOut\",\"fanAvg\"],R$=[\"normal\",\"uniform\",\"truncatedNormal\"];function y5(r){Vi(D$,\"FanMode\",r)}function b5(r){Vi(R$,\"Distribution\",r)}var fn=class extends Q.Serializable{fromConfigUsesCustomObjects(){return!1}getConfig(){return{}}},km=class extends fn{apply(t,e){return Ne(t,e)}};km.className=\"Zeros\";Q.registerClass(km);var xu=class extends fn{apply(t,e){return lr(t,e)}};xu.className=\"Ones\";Q.registerClass(xu);var Tm=class extends fn{constructor(t){if(super(),typeof t!=\"object\")throw new z(`Expected argument of type ConstantConfig but got ${t}`);if(t.value===void 0)throw new z(`config must have value set but got ${t}`);this.value=t.value}apply(t,e){return B(()=>R(mt(this.value),lr(t,e)))}getConfig(){return{value:this.value}}};Tm.className=\"Constant\";Q.registerClass(Tm);var Em=class extends fn{constructor(t){super(),this.DEFAULT_MINVAL=-.05,this.DEFAULT_MAXVAL=.05,this.minval=t.minval||this.DEFAULT_MINVAL,this.maxval=t.maxval||this.DEFAULT_MAXVAL,this.seed=t.seed}apply(t,e){return Li(t,this.minval,this.maxval,e)}getConfig(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}}};Em.className=\"RandomUniform\";Q.registerClass(Em);var _m=class extends fn{constructor(t){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=t.mean||this.DEFAULT_MEAN,this.stddev=t.stddev||this.DEFAULT_STDDEV,this.seed=t.seed}apply(t,e){if(e=e||\"float32\",e!==\"float32\"&&e!==\"int32\")throw new vt(`randomNormal does not support dType ${e}.`);return Nm(t,this.mean,this.stddev,e,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};_m.className=\"RandomNormal\";Q.registerClass(_m);var Am=class extends fn{constructor(t){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=t.mean||this.DEFAULT_MEAN,this.stddev=t.stddev||this.DEFAULT_STDDEV,this.seed=t.seed}apply(t,e){if(e=e||\"float32\",e!==\"float32\"&&e!==\"int32\")throw new vt(`truncatedNormal does not support dType ${e}.`);return ym(t,this.mean,this.stddev,e,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};Am.className=\"TruncatedNormal\";Q.registerClass(Am);var $m=class extends fn{constructor(t){super(),this.gain=t.gain!=null?t.gain:1}apply(t,e){return B(()=>{if(t.length!==2||t[0]!==t[1])throw new z(\"Identity matrix initializer can only be used for 2D square matrices.\");return R(this.gain,Yu(t[0]))})}getConfig(){return{gain:this.gain}}};$m.className=\"Identity\";Q.registerClass($m);function w5(r,t=\"channelsLast\"){let e,n;if(Re(t),r.length===2)e=r[0],n=r[1];else if([3,4,5].indexOf(r.length)!==-1){if(t===\"channelsFirst\"){let o=So(r,2);e=r[1]*o,n=r[0]*o}else if(t===\"channelsLast\"){let o=So(r,0,r.length-2);e=r[r.length-2]*o,n=r[r.length-1]*o}}else{let o=So(r);e=Math.sqrt(o),n=Math.sqrt(o)}return[e,n]}var Hr=class extends fn{constructor(t){if(super(),t.scale<0)throw new z(`scale must be a positive float. Got: ${t.scale}`);this.scale=t.scale==null?1:t.scale,this.mode=t.mode==null?\"fanIn\":t.mode,y5(this.mode),this.distribution=t.distribution==null?\"normal\":t.distribution,b5(this.distribution),this.seed=t.seed}apply(t,e){let n=w5(t),o=n[0],s=n[1],i=this.scale;if(this.mode===\"fanIn\"?i/=Math.max(1,o):this.mode===\"fanOut\"?i/=Math.max(1,s):i/=Math.max(1,(o+s)/2),this.distribution===\"normal\"){let a=Math.sqrt(i);if(e=e||\"float32\",e!==\"float32\"&&e!==\"int32\")throw new vt(`${this.getClassName()} does not support dType ${e}.`);return ym(t,0,a,e,this.seed)}else{let a=Math.sqrt(3*i);return Li(t,-a,a,e)}}getConfig(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}}};Hr.className=\"VarianceScaling\";Q.registerClass(Hr);var uc=class extends Hr{constructor(t){super({scale:1,mode:\"fanAvg\",distribution:\"uniform\",seed:t==null?null:t.seed})}getClassName(){return Hr.className}};uc.className=\"GlorotUniform\";Q.registerClass(uc);var cc=class extends Hr{constructor(t){super({scale:1,mode:\"fanAvg\",distribution:\"normal\",seed:t==null?null:t.seed})}getClassName(){return Hr.className}};cc.className=\"GlorotNormal\";Q.registerClass(cc);var pc=class extends Hr{constructor(t){super({scale:2,mode:\"fanIn\",distribution:\"normal\",seed:t==null?null:t.seed})}getClassName(){return Hr.className}};pc.className=\"HeNormal\";Q.registerClass(pc);var mc=class extends Hr{constructor(t){super({scale:2,mode:\"fanIn\",distribution:\"uniform\",seed:t==null?null:t.seed})}getClassName(){return Hr.className}};mc.className=\"HeUniform\";Q.registerClass(mc);var fc=class extends Hr{constructor(t){super({scale:1,mode:\"fanIn\",distribution:\"normal\",seed:t==null?null:t.seed})}getClassName(){return Hr.className}};fc.className=\"LeCunNormal\";Q.registerClass(fc);var dc=class extends Hr{constructor(t){super({scale:1,mode:\"fanIn\",distribution:\"uniform\",seed:t==null?null:t.seed})}getClassName(){return Hr.className}};dc.className=\"LeCunNormal\";Q.registerClass(dc);var Dm=class extends fn{constructor(t){if(super(),this.DEFAULT_GAIN=1,this.gain=t.gain==null?this.DEFAULT_GAIN:t.gain,this.seed=t.seed,this.seed!=null)throw new vt(\"Random seed is not implemented for Orthogonal Initializer yet.\")}apply(t,e){return B(()=>{if(t.length<2)throw new vt(\"Shape must be at least 2D.\");t[0]*t[1]>2e3&&console.warn(`Orthogonal initializer is being called on a matrix with more than 2000 (${t[0]*t[1]}) elements: Slowness may result.`);let n=t[0]>t[1]?[t[1],t[0]]:t,o=Nm(n,0,1,\"float32\"),s=i0.gramSchmidt(o);return t[0]>t[1]&&(s=Ot(s)),R(this.gain,s)})}getConfig(){return{gain:this.gain,seed:this.seed}}};Dm.className=\"Orthogonal\";Q.registerClass(Dm);var F$={constant:\"Constant\",glorotNormal:\"GlorotNormal\",glorotUniform:\"GlorotUniform\",heNormal:\"HeNormal\",heUniform:\"HeUniform\",identity:\"Identity\",leCunNormal:\"LeCunNormal\",leCunUniform:\"LeCunUniform\",ones:\"Ones\",orthogonal:\"Orthogonal\",randomNormal:\"RandomNormal\",randomUniform:\"RandomUniform\",truncatedNormal:\"TruncatedNormal\",varianceScaling:\"VarianceScaling\",zeros:\"Zeros\"};function O$(r,t={}){return Bi(r,Q.SerializationMap.getMap().classNameMap,t,\"initializer\")}function ke(r){return Im(r)}function de(r){if(typeof r==\"string\"){let t=r in F$?F$[r]:r;if(t===\"GlorotNormal\")return new cc;if(t===\"GlorotUniform\")return new uc;if(t===\"HeNormal\")return new pc;if(t===\"HeUniform\")return new mc;if(t===\"LeCunNormal\")return new fc;if(t===\"LeCunUniform\")return new dc;{let e={};return e.className=t,e.config={},O$(e)}}else return r instanceof fn?r:O$(r)}function ky(r){return Array.isArray(r)&&Array.isArray(r[0])}function Rm(r){return r.length===0?[]:Array.isArray(r[0])?r:[r]}function At(r){let t;if(Array.isArray(r)){if(r.length!==1)throw new z(`Expected Tensor length to be 1; got ${r.length}`);t=r[0]}else t=r;return t}function Jt(r){if(Array.isArray(r)&&Array.isArray(r[0])){if(r.length===1)return r=r,r[0];throw new z(`Expected exactly 1 Shape; got ${r.length}`)}else return r}function Fm(r){let t=0;for(let e of r)e.shape.length===0?t+=1:t+=e.shape.reduce((n,o)=>n*o);return t}var L$=\"Variable\",gh=class{constructor(t,e=\"float32\",n=L$,o=!0,s=null){this.dtype=e==null?\"float32\":e,this.shape=t.shape,this.id=by(),n=n==null?L$:n,this.originalName=wy(n),this.name=Cy(this.originalName),this.trainable_=o,this.constraint=s,this.val=ey(t,this.trainable_,this.name,this.dtype)}read(){return this.assertNotDisposed(),this.val}write(t){return this.assertNotDisposed(),I5(this.val,t),this.val.id!==t.id&&(this.val.assign(t),this.constraint!=null&&this.val.assign(this.constraint.apply(this.val))),this}dispose(){this.assertNotDisposed(),this.val.dispose()}assertNotDisposed(){if(this.val.isDisposed)throw new Error(`LayersVariable ${this.name} is already disposed.`)}get trainable(){return this.trainable_}set trainable(t){this.trainable_=t,this.val.trainable=t}};function I5(r,t){if(r.shape.toString()!==t.shape.toString())throw new Error(\"Shape mismatch: \"+JSON.stringify(r.shape)+\" vs. \"+JSON.stringify(t.shape))}function xh(r){return r.map(t=>t.read())}function Om(r){r.forEach(t=>{t[0].write(t[1])})}var ye=class{constructor(t){this.dtype=t.dtype,this.shape=t.shape,t.shape!=null?this.ndim=t.shape.length:this.ndim=t.ndim,this.maxNDim=t.maxNDim,this.minNDim=t.minNDim,this.axes=t.axes||{}}},Jr=class{constructor(t,e,n,o,s,i,a){this.dtype=t,this.shape=e,this.sourceLayer=n,this.inputs=o,this.callArgs=s,this.outputTensorIndex=a,this.id=by(),i!=null&&(this.originalName=wy(i),this.name=Cy(this.originalName)),this.rank=e.length}},v5=0,rl=class{constructor(t,e){this.callArgs=e,this.id=v5++,this.outboundLayer=t.outboundLayer,this.inboundLayers=t.inboundLayers,this.nodeIndices=t.nodeIndices,this.tensorIndices=t.tensorIndices,this.inputTensors=t.inputTensors,this.outputTensors=t.outputTensors,this.inputMasks=t.inputMasks,this.outputMasks=t.outputMasks,this.inputShapes=t.inputShapes,this.outputShapes=t.outputShapes;for(let n of t.inboundLayers)n!=null&&n.outboundNodes.push(this);t.outboundLayer.inboundNodes.push(this)}getConfig(){let t=[];for(let e of this.inboundLayers)e!=null?t.push(e.name):t.push(null);return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:t,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}}},S5=0,Rt=class extends Q.Serializable{constructor(t={}){super(),this._callHook=null,this._addedWeightNames=[],this._stateful=!1,this.id=S5++,this.activityRegularizer=null,this.inputSpec=null,this.supportsMasking=!1,this._trainableWeights=[],this._nonTrainableWeights=[],this._losses=[],this._updates=[],this._built=!1,this.inboundNodes=[],this.outboundNodes=[];let e=t.name;if(!e){let n=this.getClassName();e=Io(n)+\"_\"+hu(n)}if(this.name=e,this.trainable_=t.trainable==null?!0:t.trainable,t.inputShape!=null||t.batchInputShape!=null){let n;if(t.batchInputShape!=null)n=t.batchInputShape;else if(t.inputShape!=null){let s=null;t.batchSize!=null&&(s=t.batchSize),n=[s].concat(t.inputShape)}this.batchInputShape=n;let o=t.dtype;o==null&&(o=t.inputDType),o==null&&(o=\"float32\"),this.dtype=o}t.weights!=null?this.initialWeights=t.weights:this.initialWeights=null,this._refCount=null,this.fastWeightInitDuringBuild=!1}static nodeKey(t,e){return t.name+\"_ib-\"+e.toString()}getNodeAtIndex(t,e){if(this.inboundNodes.length===0)throw new Ur(`The layer has never been called and thus has no defined ${e}.`);if(this.inboundNodes.length<=t)throw new z(`Asked to get ${e} at node ${t}, but the layer has only ${this.inboundNodes.length} inbound nodes.`);return this.inboundNodes[t]}getInputAt(t){return Sr(this.getNodeAtIndex(t,\"input\").inputTensors)}getOutputAt(t){return Sr(this.getNodeAtIndex(t,\"output\").outputTensors)}get input(){if(this.inboundNodes.length>1)throw new vn(`Layer ${this.name} has multiple inbound nodes, hence the notion of \"layer input\" is ill-defined. Use \\`getInputAt(nodeIndex)\\` instead.`);if(this.inboundNodes.length===0)throw new vn(`Layer ${this.name} is not connected, no input to return.`);return Sr(this.getNodeAtIndex(0,\"input\").inputTensors)}get output(){if(this.inboundNodes.length===0)throw new vn(`Layer ${this.name} has no inbound nodes.`);if(this.inboundNodes.length>1)throw new vn(`Layer ${this.name} has multiple inbound nodes, hence the notion of \"layer output\" is ill-defined. Use \\`getOutputAt(nodeIndex)\\` instead.`);return Sr(this.getNodeAtIndex(0,\"output\").outputTensors)}get losses(){return this._losses}calculateLosses(){return this.losses.map(t=>t())}get updates(){return this._updates}get built(){return this._built}set built(t){this._built=t}get trainable(){return this.trainable_}set trainable(t){this._trainableWeights.forEach(e=>e.trainable=t),this.trainable_=t}get trainableWeights(){return this.trainable_?this._trainableWeights.filter(t=>t.trainable):[]}set trainableWeights(t){this._trainableWeights=t}get nonTrainableWeights(){return this.trainable?this._trainableWeights.filter(t=>!t.trainable).concat(this._nonTrainableWeights):this._trainableWeights.concat(this._nonTrainableWeights)}set nonTrainableWeights(t){this._nonTrainableWeights=t}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}get stateful(){return this._stateful}resetStates(){if(!this.stateful)throw new Error(\"Cannot call the resetStates() method of a non-stateful Layer object.\")}assertInputCompatibility(t){if(t=xe(t),this.inputSpec==null||this.inputSpec.length===0)return;let e=xe(this.inputSpec);if(t.length!==e.length)throw new z(`Layer ${this.name} expects ${e.length} inputs, but it received ${t.length} input tensors. Input received: ${t}`);for(let n=0;ns.maxNDim)throw new z(`Input ${n} is incompatible with layer ${this.name}: expected max_ndim=${s.maxNDim}, found ndim=${i}`);if(s.minNDim!=null&&i=0?a[l]:a[a.length+l];if(c!=null&&[c,null].indexOf(p)===-1)throw new z(`Input ${n} is incompatible with layer ${this.name}: expected axis ${l} of input shape to have value ${c} but got shape ${a}.`)}}if(s.shape!=null)for(let a=0;a{if(!this.built){this.assertInputCompatibility(t);let i=[];for(let a of xe(t))i.push(a.shape);this.build(Sr(i)),this.built=!0,this.initialWeights&&this.setWeights(this.initialWeights),this._refCount===null&&s&&(this._refCount=1)}if(this.assertInputCompatibility(t),s){let i=this.call(t,e),a=xe(i),u=[];for(let l of a)n.indexOf(l)!==-1&&(l=l.clone()),u.push(l);if(i=Sr(u),this.activityRegularizer!=null)throw new vt(\"Layer invocation in the presence of activity regularizer(s) is not supported yet.\");return i}else{let i=N5(t),a=this.computeOutputShape(i),u,l=k5(t);if(this.warnOnIncompatibleInputShape(Array.isArray(t)?i[0]:i),a!=null&&a.length>0&&Array.isArray(a[0])?u=a.map((c,p)=>new Jr(l,c,this,xe(t),e,this.name,p)):u=new Jr(l,a,this,xe(t),e,this.name),this.addInboundNode(t,u,null,null,i,a,e),this._refCount++,this.activityRegularizer!=null)throw new vt(\"Layer invocation in the presence of activity regularizer(s) is not supported yet.\");return u}})}warnOnIncompatibleInputShape(t){if(this.batchInputShape!=null)if(t.length!==this.batchInputShape.length)console.warn(`The rank of the input tensor provided (shape: ${JSON.stringify(t)}) does not match that of the batchInputShape (${JSON.stringify(this.batchInputShape)}) of the layer ${this.name}`);else{let e=!1;this.batchInputShape.forEach((n,o)=>{n!=null&&t[o]!=null&&t[o]!==n&&(e=!0)}),e&&console.warn(`The shape of the input tensor (${JSON.stringify(t)}) does not match the expectation of layer ${this.name}: ${JSON.stringify(this.batchInputShape)}`)}}get outputShape(){if(this.inboundNodes==null||this.inboundNodes.length===0)throw new vn(`The layer ${this.name} has never been called and thus has no defined output shape.`);let t=[];for(let e of this.inboundNodes){let n=JSON.stringify(e.outputShapes);t.indexOf(n)===-1&&t.push(n)}if(t.length===1){let e=this.inboundNodes[0].outputShapes;return Array.isArray(e)&&Array.isArray(e[0])&&e.length===1?e[0]:e}else throw new vn(`The layer ${this.name} has multiple inbound nodes with different output shapes. Hence the notion of \"output shape\" is ill-defined for the layer.`)}countParams(){if(!this.built)throw new Ur(`You tried to call countParams() on ${this.name}, but the layer is not built yet. Build it first by calling build(batchInputShape).`);return Fm(this.weights)}build(t){this.built=!0}getWeights(t=!1){return xh(t?this.trainableWeights:this.weights)}setWeights(t){B(()=>{let e=this.weights;if(e.length!==t.length)throw new z(`You called setWeights(weights) on layer \"${this.name}\" with a weight list of length ${t.length}, but the layer was expecting ${e.length} weights. Provided weights: ${t}...`);if(e.length===0)return;let n=[],o=xh(e);for(let s=0;ss.apply(c.read())),i==null&&(i=!0),i?this._trainableWeights.push(c):this._nonTrainableWeights.push(c),c}setFastWeightInitDuringBuild(t){this.fastWeightInitDuringBuild=t}addLoss(t){t==null||Array.isArray(t)&&t.length===0||(t=xe(t),this._losses!==void 0&&this._losses!==null&&this.losses.push(...t))}computeOutputShape(t){return t}computeMask(t,e){if(!this.supportsMasking){if(e!=null)if(Array.isArray(e))e.forEach(n=>{if(n!=null)throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`)});else throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`);return null}return e}addInboundNode(t,e,n,o,s,i,a=null){let u=xe(t);e=xe(e),n=xe(n),o=xe(o),s=Rm(s),i=Rm(i);let l=[],c=[],p=[];for(let m of u)l.push(m.sourceLayer),c.push(m.nodeIndex),p.push(m.tensorIndex);new rl({outboundLayer:this,inboundLayers:l,nodeIndices:c,tensorIndices:p,inputTensors:u,outputTensors:e,inputMasks:n,outputMasks:o,inputShapes:s,outputShapes:i},a);for(let m=0;mt.dispose()),this.weights.length}assertNotDisposed(){if(this._refCount===0)throw new Error(`Layer '${this.name}' is already disposed.`)}dispose(){if(!this.built)throw new Error(`Cannot dispose Layer ${this.name} because it has not been built yet.`);if(this._refCount===null)throw new Error(`Cannot dispose Layer ${this.name} because it has not been used yet.`);this.assertNotDisposed();let t=0;return--this._refCount===0&&(t=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:t}}};function N5(r){r=xe(r);let t=[];for(let e of r)t.push(e.shape);return Sr(t)}function k5(r){return\"float32\"}function I0(r,t,e){if((t==null||e!=null&&e>0)&&(t=r.sourceLayer,e=r.nodeIndex),t.inboundNodes.length===0)return[r];{let n=t.inboundNodes[e];if(n.inboundLayers.length===0)return n.inputTensors;{let o=[];for(let s=0;sd.name),u=[],l=t.names();for(let d of a)l.indexOf(d)!==-1?u.push(t.getValue(d)):u.push(null);n!=null&&(n.maxNumTensors=-1/0,n.minNumTensors=1/0);let c=a.join(\",\")+\"|\"+t.names().sort().join(\",\"),p=Ey.get(c),m;if(p==null){let d=E5(i,t);p=d.sorted,m=d.recipientCounts,Ey.put(c,p),_y.put(c,m)}m={},o||Object.assign(m,_y.get(c));let f=new ko(t);for(let d=0;dn.maxNumTensors&&(n.maxNumTensors=F),F0,()=>\"Expected at least one fetch, got none\");let e=[],n={};if(r.length===1){let o=M$(r[0],t);e=o.sorted,n=o.recipientMap}else{let o=new Set;for(let s of r){let{sorted:i,recipientMap:a}=M$(s,t);for(let u of i)o.has(u.name)||(e.push(u),o.add(u.name));for(let u in a)n[u]==null&&(n[u]=new Set),a[u].forEach(l=>n[u].add(l))}}return{sorted:e,recipientCounts:_5(n)}}function _5(r){let t={};for(let e in r)t[e]=r[e].size;return t}function M$(r,t){let e=new Set,n=[],o={};for(let a of t.names())e.add(a);let s=[],i=[];for(s.push(r);s.length>0;){let a=s[s.length-1];if(e.has(a.name)){s.pop();continue}let u=i[i.length-1]===s.length-1;if(a.inputs.length===0||u)s.pop(),n.push(a),e.add(a.name),u&&i.pop();else{i.push(s.length-1);for(let l of a.inputs)o[l.name]==null&&(o[l.name]=new Set),o[l.name].add(a.name),!e.has(l.name)&&s.push(l)}}return{sorted:n,recipientMap:o}}function A5(r){let t;if(r.sourceLayer.inboundNodes.length===1)t=r.sourceLayer.output;else{let e=null;for(let n=0;n100,z$);var G$={};Gt(G$,{maxNorm:()=>D5,minMaxNorm:()=>O5,nonNeg:()=>F5,unitNorm:()=>R5});function v0(r,t){return B(()=>ve(ft(R(r,r),t,!0)))}var gc=class extends Q.Serializable{getConfig(){return{}}},Pm=class extends gc{constructor(t){super(),this.defaultMaxValue=2,this.defaultAxis=0,this.maxValue=t.maxValue!=null?t.maxValue:this.defaultMaxValue,this.axis=t.axis!=null?t.axis:this.defaultAxis}apply(t){return B(()=>{let e=v0(t,this.axis),n=Cr(e,0,this.maxValue);return R(t,pt(n,X(sr(),e)))})}getConfig(){return{maxValue:this.maxValue,axis:this.axis}}};Pm.className=\"MaxNorm\";Q.registerClass(Pm);var Lm=class extends gc{constructor(t){super(),this.defaultAxis=0,this.axis=t.axis!=null?t.axis:this.defaultAxis}apply(t){return B(()=>pt(t,X(sr(),v0(t,this.axis))))}getConfig(){return{axis:this.axis}}};Lm.className=\"UnitNorm\";Q.registerClass(Lm);var Mm=class extends gc{apply(t){return Rr(t)}};Mm.className=\"NonNeg\";Q.registerClass(Mm);var zm=class extends gc{constructor(t){super(),this.defaultMinValue=0,this.defaultMaxValue=1,this.defaultRate=1,this.defaultAxis=0,this.minValue=t.minValue!=null?t.minValue:this.defaultMinValue,this.maxValue=t.maxValue!=null?t.maxValue:this.defaultMaxValue,this.rate=t.rate!=null?t.rate:this.defaultRate,this.axis=t.axis!=null?t.axis:this.defaultAxis}apply(t){return B(()=>{let e=v0(t,this.axis),n=X(R(this.rate,Cr(e,this.minValue,this.maxValue)),R(1-this.rate,e));return R(t,pt(n,X(sr(),e)))})}getConfig(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}}};zm.className=\"MinMaxNorm\";Q.registerClass(zm);var B$={maxNorm:\"MaxNorm\",minMaxNorm:\"MinMaxNorm\",nonNeg:\"NonNeg\",unitNorm:\"UnitNorm\"};function Me(r){return Im(r)}function V$(r,t={}){return Bi(r,Q.SerializationMap.getMap().classNameMap,t,\"constraint\")}function ze(r){if(r==null)return null;if(typeof r==\"string\"){let e={className:r in B$?B$[r]:r,config:{}};return V$(e)}else return r instanceof gc?r:V$(r)}function D5(r){return new Pm(r)}function R5(r){return new Lm(r)}function F5(){return new Mm}function O5(r){return new zm(r)}var W$={};Gt(W$,{constant:()=>M5,glorotNormal:()=>H5,glorotUniform:()=>U5,heNormal:()=>q5,heUniform:()=>K5,identity:()=>G5,leCunNormal:()=>j5,leCunUniform:()=>X5,ones:()=>L5,orthogonal:()=>Y5,randomNormal:()=>B5,randomUniform:()=>z5,truncatedNormal:()=>V5,varianceScaling:()=>W5,zeros:()=>P5});function P5(){return new km}function L5(){return new xu}function M5(r){return new Tm(r)}function z5(r){return new Em(r)}function B5(r){return new _m(r)}function V5(r){return new Am(r)}function G5(r){return new $m(r)}function W5(r){return new Hr(r)}function U5(r){return new uc(r)}function H5(r){return new cc(r)}function q5(r){return new pc(r)}function K5(r){return new mc(r)}function j5(r){return new fc(r)}function X5(r){return new dc(r)}function Y5(r){return new Dm(r)}var CD={};Gt(CD,{Layer:()=>Rt,RNN:()=>Nn,RNNCell:()=>il,activation:()=>pY,add:()=>wY,alphaDropout:()=>nZ,average:()=>CY,averagePooling1d:()=>L0,averagePooling2d:()=>M0,averagePooling3d:()=>z0,avgPool1d:()=>AY,avgPool2d:()=>DY,avgPool3d:()=>FY,avgPooling1d:()=>$Y,avgPooling2d:()=>RY,avgPooling3d:()=>OY,batchNormalization:()=>TY,bidirectional:()=>XY,concatenate:()=>IY,conv1d:()=>rY,conv2d:()=>nY,conv2dTranspose:()=>oY,conv3d:()=>sY,conv3dTranspose:()=>iY,convLstm2d:()=>HY,convLstm2dCell:()=>qY,cropping2D:()=>lY,dense:()=>mY,depthwiseConv2d:()=>cY,dot:()=>kY,dropout:()=>fY,elu:()=>Y8,embedding:()=>bY,flatten:()=>hY,gaussianDropout:()=>rZ,gaussianNoise:()=>eZ,globalAveragePooling1d:()=>PY,globalAveragePooling2d:()=>LY,globalMaxPool1d:()=>ZY,globalMaxPool2d:()=>JY,globalMaxPooling1d:()=>xD,globalMaxPooling2d:()=>yD,gru:()=>zY,gruCell:()=>BY,input:()=>$0,inputLayer:()=>X8,layerNormalization:()=>EY,leakyReLU:()=>J8,lstm:()=>VY,lstmCell:()=>GY,masking:()=>oZ,maxPool1d:()=>QY,maxPool2d:()=>tZ,maxPooling1d:()=>bD,maxPooling2d:()=>wD,maxPooling3d:()=>MY,maximum:()=>vY,minimum:()=>SY,multiply:()=>NY,permute:()=>yY,prelu:()=>Q8,reLU:()=>Z8,repeatVector:()=>gY,rescaling:()=>sZ,reshape:()=>xY,rnn:()=>KY,separableConv2d:()=>aY,simpleRNN:()=>WY,simpleRNNCell:()=>UY,softmax:()=>tY,spatialDropout1d:()=>dY,stackedRNNCells:()=>jY,thresholdedReLU:()=>eY,timeDistributed:()=>YY,upSampling2d:()=>uY,zeroPadding2d:()=>_Y});async function Gi(r){if(r==null)return;let t=[],e=[],n=[];for(let o in r){let s=r[o];if(typeof s!=\"number\"){let i=s;t.push(i.data()),e.push(o),n.push(i)}}if(t.length>0){let o=await Promise.all(t);for(let s=0;sX(this.totals[o],R(s,n)));this.totals[o]=a,i!=null&&i.dispose()}}}async onEpochEnd(t,e){if(e!=null)for(let n of this.params.metrics)this.totals[n]!=null&&(typeof this.totals[n]==\"number\"?e[n]=this.totals[n]/this.seen:B(()=>{let o=R(pt(1,this.seen),this.totals[n]);e[n]=o,this.totals[n].dispose(),De(e[n])}))}},Dy=class extends nl{async onTrainBegin(t){this.epoch=[],this.history={}}async onEpochEnd(t,e){e==null&&(e={}),this.epoch.push(t);for(let n in e)this.history[n]==null&&(this.history[n]=[]),this.history[n].push(e[n])}async syncData(){let t=[],e=[],n=[];for(let s in this.history){let i=this.history[s];for(let a=0;anew Ry(n,t))}var dn=class{constructor(){}static registerCallbackConstructor(t,e){y.assert(t>=0&&Number.isInteger(t),()=>`Verbosity level is expected to be an integer >= 0, but got ${t}`),dn.checkForDuplicate(e),dn.constructors[t]==null&&(dn.constructors[t]=[]),dn.constructors[t].push(e)}static checkForDuplicate(t){for(let e in dn.constructors)dn.constructors[+e].forEach(o=>{if(o===t)throw new z(\"Duplicate callback constructor.\")})}static clear(){dn.constructors={}}static createCallbacks(t){let e=[];for(let n in dn.constructors){let o=+n;t>=o&&e.push(...dn.constructors[o])}return e.map(n=>new n)}};dn.constructors={};function Oy(r,t,e,n,o,s,i,a,u){let l=new Dy,c=[new S0,...dn.createCallbacks(t)];r!=null&&c.push(...r),c.push(l);let p=new $y(c);return p.setParams({epochs:e,initialEpoch:n,samples:o,steps:s,batchSize:i,verbose:t,doValidation:a,metrics:u}),{callbackList:p,history:l}}function hn(r,t={},e=!1){return Bi(r,Q.SerializationMap.getMap().classNameMap,t,\"layer\",e)}function yh(r,t){return B(()=>{r.dtype!==\"float32\"&&(r=J(r,\"float32\"));let e=ft(lc(r),t,!0),n=go(e.shape,sr()),o=ve(In(e,n));return pt(r,o)})}function Wi(r,t){return B(()=>Se(lc(ct(t,r)),-1))}function Bm(r,t){return B(()=>Se(Ee(ct(t,r)),-1))}function yu(r,t){return B(()=>{let e=ct(r,t),n=Cr(Ee(r),sr(),Number.MAX_VALUE),o=Ee(pt(e,n));return R(100,Se(o,-1))})}function J5(r,t){return B(()=>{let e=Cr(t,sr(),Number.MAX_VALUE),n=Ir(X(1,e)),o=Cr(r,sr(),Number.MAX_VALUE),s=Ir(X(1,o));return Se(lc(ct(n,s)),-1)})}function Q5(r,t){return B(()=>{let e=In(0,ct(1,R(r,t)));return Se(lc(e),-1)})}function t8(r,t){return B(()=>{let e=In(0,ct(1,R(r,t)));return Se(e,-1)})}function e8(r,t){return B(()=>{let e=ft(R(r,t),-1),n=Br(R(ct(1,r),t),-1);return In(0,X(1,ct(n,e)))})}function r8(r,t){return B(()=>{let e=Math.log(2),n=ct(t,r),o=ct(X(n,Ms(R(-2,n))),e);return Se(o,-1)})}function xc(r,t,e=!1){return B(()=>{if(e)t=ou(t);else{let n=ft(t,t.shape.length-1,!0);t=pt(t,n)}return t=Cr(t,sr(),1-sr()),Ut(ft(R(J(r,\"float32\"),Ir(t)),t.shape.length-1))})}function Vm(r,t,e=!1){return B(()=>{let n=J(Fi(T$(r)),\"int32\");t=Cr(t,sr(),1-sr());let o=t.shape,s=D(ki(n,o[o.length-1]),o);return xc(s,t,e)})}function n8(r,t){if(!y.arraysEqual(r.shape,t.shape))throw new z(`logits and labels must have the same shape, but got shapes ${JSON.stringify(r.shape)} and ${JSON.stringify(t.shape)}`);return B(()=>{let e=Rr(t),n=Ut(Ee(t));return X(ct(e,R(t,r)),Jl(er(n)))})}function Gm(r,t){return B(()=>{let e;return e=Cr(t,sr(),1-sr()),e=Ir(pt(e,ct(1,e))),Se(n8(r,e),-1)})}function o8(r,t){return B(()=>{let e=Cr(r,sr(),1),n=Cr(t,sr(),1);return ft(R(r,Ir(pt(e,n))),-1)})}function s8(r,t){return B(()=>{let e=Ir(X(sr(),t));return Se(ct(t,R(r,e)),-1)})}function wh(r,t){return B(()=>{let e=yh(r,-1),n=yh(t,-1),o=R(e,n);return Ut(ft(o,-1))})}var bh={meanSquaredError:Wi,meanAbsoluteError:Bm,meanAbsolutePercentageError:yu,meanSquaredLogarithmicError:J5,squaredHinge:Q5,hinge:t8,categoricalHinge:e8,logcosh:r8,categoricalCrossentropy:xc,sparseCategoricalCrossentropy:Vm,binaryCrossentropy:Gm,kullbackLeiblerDivergence:o8,poisson:s8,cosineProximity:wh};function Py(r){if(typeof r==\"string\"){if(r in bh)return bh[r];let t=`Unknown loss ${r}`;throw r.toLowerCase().includes(\"softmaxcrossentropy\")&&(t=`Unknown loss ${r}. Use \"categoricalCrossentropy\" as the string name for tf.losses.softmaxCrossEntropy`),new z(t)}else return r}function Ch(r,t){return B(()=>{let e=R(.5,xr(t)),n=tl(He(t,e),r.dtype);return Se(Ar(r,n),-1)})}function Ih(r,t){return B(()=>tl(Ar(Ei(r,-1),Ei(t,-1)),\"float32\"))}function q$(r,t){return B(()=>J(ft(Dr(Ar(r,1),Ar(t,1))),\"float32\"))}function i8(r,t){return B(()=>J(ft(Dr(Ar(r,1),Ar(t,0))),\"float32\"))}function a8(r,t){return B(()=>J(ft(Dr(Ar(r,0),Ar(t,1))),\"float32\"))}function N0(r,t){return B(()=>{let e=q$(r,t),n=a8(r,t),o=X(e,n);return J(_e(He(o,0),pt(e,o),0),\"float32\")})}function K$(r,t){return B(()=>{let e=q$(r,t),n=i8(r,t),o=X(e,n);return J(_e(He(o,0),pt(e,o),0),\"float32\")})}function My(r,t){return Gm(r,t)}function zy(r,t){return r.rank===t.rank&&(r=Pn(r,[r.rank-1])),t=Ei(t,-1),t.dtype!==r.dtype&&(t=J(t,r.dtype)),J(Ar(r,t),\"float32\")}var l8=Wi,u8=Wi,c8=Bm,p8=Bm,m8=yu,f8=yu,vh=xc,d8=wh,k0=Vm,Ly={binaryAccuracy:Ch,categoricalAccuracy:Ih,precision:N0,categoricalCrossentropy:vh,sparseCategoricalCrossentropy:k0,mse:l8,MSE:u8,mae:c8,MAE:p8,mape:m8,MAPE:f8,cosine:d8};function j$(r){if(typeof r==\"string\"&&r in Ly)return Ly[r];if(typeof r!=\"string\"&&r!=null)return r;throw new z(`Unknown metric ${r}`)}function Sh(r){if(eo(r!==null,`Unknown LossOrMetricFn ${r}`),typeof r==\"string\")return r;{let t;for(let e of Object.keys(bh))if(bh[e]===r){t=e;break}if(t!==void 0)return t;for(let e of Object.keys(Ly))if(Ly[e]===r){t=e;break}return t!==void 0?t:r.name}}function Y$(r){let t={Adagrad:()=>ic.adagrad(.01),Adadelta:()=>ic.adadelta(1,.95,sr()),Adam:()=>ic.adam(.001,.9,.999,sr()),Adamax:()=>ic.adamax(.002,.9,.999,sr(),0),RMSProp:()=>ic.rmsprop(.001,.9,0,sr()),SGD:()=>ic.sgd(.01)};if(t.adagrad=t.Adagrad,t.adadelta=t.Adadelta,t.adam=t.Adam,t.adamax=t.Adamax,t.rmsprop=t.RMSProp,t.sgd=t.SGD,r in t)return t[r]();throw new z(`Unknown Optimizer ${r}`)}function E0(r,t,e=!1){if(r==null||typeof r!=\"object\"||Object.getPrototypeOf(r)!==Object.prototype||!T0(r))throw new Error(\"User-defined metadata is expected to be a JSON object, but is not.\");if(e){let n=JSON.stringify(r);n.length>1048576&&console.warn(`User-defined metadata of model \"${t}\" is too large in size (length=${n.length} when serialized). It is not recommended to store such large objects in user-defined metadata. Please make sure its serialized length is <= ${1048576}.`)}}function T0(r){if(r===null)return!0;if(typeof r==\"object\")if(Object.getPrototypeOf(r)===Object.prototype){let t=Object.keys(r);for(let e of t)if(typeof e!=\"string\"||!T0(r[e]))return!1;return!0}else if(Array.isArray(r)){for(let t of r)if(!T0(t))return!1;return!0}else return!1;else{let t=typeof r;return t===\"string\"||t===\"number\"||t===\"boolean\"}}function Z$(r,t,e,n=console.log){let o=x8(r),s=[\"Layer (type)\",\"Input Shape\",\"Output shape\",\"Param #\"];o?(t=t||90,e=e||[.32,.61,.89,1]):(t=t||115,e=e||[.24,.48,.7,.8,1]),e[e.length-1]<=1&&(e=e.map(c=>Math.floor(t*c)));let i;if(!o){s.push(\"Receives inputs\"),i=[];for(let c in r.nodesByDepth)i.push(...r.nodesByDepth[c])}n(\"_\".repeat(t)),By(s,e,n),n(\"=\".repeat(t));let a=r.layers;for(let c=0;c1||o.length===1&&o[0].inboundLayers.length>1){t=!1;break}n.push(...o)}if(t)for(let o of r.layers){let s=!1;for(let i of o.inboundNodes)if(n.indexOf(i)!==-1)if(s){t=!1;break}else s=!0;if(!t)break}return t}function By(r,t,e=console.log){let n=\"\";for(let o=0;o0&&(n=n.slice(0,n.length-1)+\" \"),n+=r[o],n=n.slice(0,t[o]),n+=\" \".repeat(t[o]-n.length);e(n)}function y8(r,t,e){let n,o;try{o=r.inboundNodes.map(u=>JSON.stringify(u.inputShapes)).join(\",\")}catch(u){o=\"multiple\"}try{n=JSON.stringify(r.outputShape)}catch(u){n=\"multiple\"}let s=r.name,i=r.getClassName(),a=[`${s} (${i})`,o,n,r.countParams().toString()];By(a,t,e)}function b8(r,t,e,n){let o,s;try{s=r.inboundNodes.map(p=>JSON.stringify(p.inputShapes)).join(\",\")}catch(p){s=\"multiple\"}try{o=JSON.stringify(r.outputShape)}catch(p){o=\"multiple\"}let i=[];for(let p of r.inboundNodes)if(!(e!=null&&e.length>0&&e.indexOf(p)===-1))for(let m=0;mb.name)}`);vo(this.outputs).length!==this.outputs.length&&console.warn(`The list of outputs passed to the model is redundant. All outputs should only appear once. Found: ${this.outputs.map(b=>b.name)}`),this.inputLayers=[],this.inputLayersNodeIndices=[],this.inputLayersTensorIndices=[],this.outputLayers=[],this.outputLayersNodeIndices=[],this.outputLayersTensorIndices=[],this.layers=[],this.internalContainerRefs=[];for(let b of this.outputs){let w=b.sourceLayer,C=b.nodeIndex,N=b.tensorIndex;this.outputLayers.push(w),this.outputLayersNodeIndices.push(C),this.outputLayersTensorIndices.push(N)}for(let b of this.inputs){let w=b.sourceLayer,C=b.nodeIndex,N=b.tensorIndex;eo(C===0,\"input layer has >1 nodes\"),eo(N===0,\"input layer has >1 tensors\"),this.inputLayers.push(w),this.inputLayersNodeIndices.push(C),this.inputLayersTensorIndices.push(N)}this.inputNames=[],this.outputNames=[],this.feedInputShapes=[],this.feedInputNames=[],this.feedOutputNames=[];for(let b=0;bb.shape),this.internalOutputShapes=this.outputs.map(b=>b.shape);let e={},n={},o={},s={},i={},a=[],u=(b,w,C,N,_,A)=>{(N==null||_==null||A==null)&&(N=b.sourceLayer,_=b.nodeIndex,A=b.tensorIndex);let $=N.inboundNodes[_];if(C.indexOf($)!==-1)throw new Ur(`The tensor ${b.name} at layer \"${N.name}\" is part of a cycle.`);if(w.indexOf($)!==-1)return;this.containerNodes.add(Ln.nodeKey(N,_)),N.id in i||(i[N.id]=Object.keys(i).length),C.indexOf($)===-1&&C.push($);let F=$.inboundLayers.length;for(let P=0;P=0;)C.splice(C.indexOf($),1);a.push($)},l=[],c=[];for(let b of this.outputs)u(b,l,c);let p=a.slice().reverse();for(let b of p){n[b.id]=b,b.id in e||(e[b.id]=0);let w=e[b.id],C=o[b.outboundLayer.id]==null?0:o[b.outboundLayer.id];w=Math.max(w,C),o[b.outboundLayer.id]=w,s[b.outboundLayer.id]=b.outboundLayer,e[b.id]=w;for(let N=0;NparseInt(b,10)).sort(fh);this.layers=[];for(let b of d){let w=f[b];w.sort((C,N)=>{let _=i[C.id],A=i[N.id];return _A?1:0});for(let C of w)C instanceof Ln&&this.internalContainerRefs.push(C),this.layers.push(C)}this.layersByDepth=f,d=Object.keys(m).map(b=>parseInt(b,10)).sort(fh);let h=this.inputs.slice(),g=[];for(let b of d)for(let w of m[b]){let C=w.outboundLayer;if(C!=null){for(let N of w.inputTensors)if(h.indexOf(N)===-1)throw new Ur(`Graph disconnected: cannot obtain value for tensor ${N} at layer \"${C.name}\". The following previous layers were accessed without issue: ${g}`);for(let N of w.outputTensors)h.push(N);g.push(C.name)}}this.nodesByDepth=m;let x=this.layers.map(b=>b.name);for(let b of x){let w=x.filter(C=>C===b).length;if(w!==1)throw new Ur(`The name \"${b}\" is used ${w} times in the model. All layer names should be unique. Layer names: `+JSON.stringify(x))}this.outboundNodes=[],this.inboundNodes=[],new rl({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:this.inputs.map(b=>null),outputMasks:this.outputs.map(b=>null),inputShapes:this.inputs.map(b=>b.shape),outputShapes:this.outputs.map(b=>b.shape)}),this.built=!0,this._refCount=1}assertNotDisposed(){if(this._refCount===0)throw new Error(`Container '${this.name}' is already disposed.`)}dispose(){this.assertNotDisposed();let t={refCountAfterDispose:null,numDisposedVariables:0};if(--this._refCount===0){for(let e of this.layers)t.numDisposedVariables+=e.dispose().numDisposedVariables;for(let e of this.internalContainerRefs)t.numDisposedVariables+=e.dispose().numDisposedVariables}return t.refCountAfterDispose=this._refCount,t}get trainable(){return this.trainable_}set trainable(t){this.layers.forEach(e=>{e._trainableWeights.forEach(n=>n.trainable=t)}),this.trainable_=t}get trainableWeights(){if(this._trainableWeights.length>0)throw new z(\"Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.\");if(!this.trainable)return[];let t=[];for(let e of this.layers)t=t.concat(e.trainableWeights);return t}get nonTrainableWeights(){let t=[];for(let e of this.layers)t.push(...e.nonTrainableWeights);if(!this.trainable){let e=[];for(let n of this.layers)e.push(...n.trainableWeights);return e.concat(t)}return t}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}loadWeights(t,e=!0){let n={},o=0;for(let i of this.layers)for(let a of i.weights){if(n[a.originalName]!=null)throw new z(`Duplicate weight name: ${a.originalName}`);n[a.originalName]=a,o++}let s=[];for(let i in t){let a=i;if(n[i]==null){let u=i.split(\"/\");a=u.slice(0,-2).concat([u[u.length-1]]).join(\"/\")}if(n[a]!=null)s.push([n[a],t[i]]);else if(e)throw new z(`Provided weight data has no target variable: ${i}`);delete n[a]}if(e){let i=[];for(let a in n)i.push(a);if(i.length>0)throw new z(`${i.length} of ${o} weights are not set: ${i}`)}Om(s)}updatedConfig(){let t=this.getConfig(),e={};return e.className=this.getClassName(),e.config=t,e.kerasVersion=`tfjs-layers ${Wm}`,e.backend=\"TensorFlow.js\",e}toJSON(t,e=!0){let n=Vy(this.updatedConfig());return e?JSON.stringify(n):n}call(t,e){return B(()=>{t=xe(t);let n=new ko;for(let o=0;o{t=xe(t);let n;return e==null?n=Co(null,t.length):n=xe(e),this.runInternalGraph(t,n)[1]})}computeOutputShape(t){let e=Rm(t);if(e.length!==this.inputLayers.length)throw new z(`Invalid inputShape argument ${t}: model has ${this.inputLayers.length} tensor inputs.`);let n={};for(let a=0;aparseInt(a,10)).sort(fh);if(o.length>1)for(let a of o){let u=this.nodesByDepth[a];for(let l of u){let c=l.outboundLayer;if(this.inputLayers.map(h=>h.id).indexOf(c.id)!==-1)continue;let p=[];for(let h=0;hparseInt(u,10)).sort(fh);for(let u of o){let l=this.nodesByDepth[u];for(let c of l){let p=c.outboundLayer,m=c.inputTensors,f=c.outputTensors,d=new Array;for(let h of m)h.id in n&&d.push(n[h.id]);if(d.length===m.length){let h={},g,x,b,w;if(c.callArgs!=null&&(h=c.callArgs),d.length===1){let[C,N]=d[0];h.mask==null&&(h.mask=N),b=xe(p.call(C,h)),w=xe(p.computeMask(C,N)),g=[C],x=[N]}else g=d.map(C=>C[0]),x=d.map(C=>C[1]),h.mask==null&&(h.mask=x),b=xe(p.call(g,h)),w=xe(p.computeMask(g,x));if(p.activityRegularizer)throw new vt(\"LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.\");for(let C=0;C{let t=[];for(let e of this.layers)for(let n=0;n0){let h=[];for(let g=0;g0&&g.apply(Sr(b),w)}function l(g){let x=g.name,b=hn(g,e.customObjects!=null?e.customObjects:{});b.setFastWeightInitDuringBuild(o),s[x]=b,g.inboundNodes.forEach(C=>{if(!(C instanceof Array))throw new z(`Corrupted configuration, expected array for nodeData: ${C}`);a(b,C)})}let c=e.name,p=e.layers;for(let g of p)l(g);for(;!d$(i);)for(let g of p){let x=s[g.name];if(x.name in i){let b=i[x.name];delete i[x.name];for(let w of b)u(x,w)}}let m=[],f=[],d=e.inputLayers;for(let g of d){let x=g[0],b=g[1],w=g[2];eo(x in s);let N=s[x].inboundNodes[b].outputTensors;m.push(N[w])}let h=e.outputLayers;for(let g of h){let x=g[0],b=g[1],w=g[2];eo(x in s);let N=s[x].inboundNodes[b].outputTensors;f.push(N[w])}return new t({inputs:m,outputs:f,name:c})}get stateful(){if(this._stateful)throw new z(\"Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.\");for(let t of this.layers)if(t.stateful)return!0;return!1}resetStates(){B(()=>{this.layers.forEach(t=>{t.stateful&&t.resetStates()})})}};function w8(r,t,e){let n=t.length;if(r==null||Array.isArray(r)&&r.length===0)return t.map(o=>null);if(n===1)return Array.isArray(r)&&r.length===1?r:typeof r==\"object\"&&t[0]in r?[r[t[0]]]:[r];if(Array.isArray(r)){if(r.length!==n)throw new Error(`Provided ${e} is an array of ${r.length} element(s), but the model has ${n} outputs. Make sure a set of weights is provided for each model output.`);return r}else if(typeof r==\"object\"&&Object.keys(r).length>0&&typeof r[Object.keys(r)[0]]==\"object\"){let o=[];return t.forEach(s=>{s in r?o.push(r[s]):o.push(null)}),o}else throw new Error(`The model has multiple (${n}) outputs, so ${e} must be either an array with ${n} elements or an object with ${t} keys. Provided ${e} not understood: ${JSON.stringify(r)}`)}function Gy(r,t){return w8(r,t,\"classWeight\")}async function Wy(r,t,e,n){if(t!=null||n!=null)throw new Error(\"Support sampleWeight is not implemented yet\");if(e!=null){let o=B(()=>{if(r.shape.length===1)return sn(r);if(r.shape.length===2){if(r.shape[1]>1)return Ei(r,1);if(r.shape[1]===1)return D(r,[r.shape[0]]);throw new Error(`Encountered unexpected last-dimension size (${r.shape[1]}) during handling of class weights. The size is expected to be >= 1.`)}else throw new Error(`Unexpected rank of target (y) tensor (${r.rank}) during handling of class weights. The rank is expected to be 1 or 2.`)}),s=Array.from(await o.data());St(o);let i=[];return s.forEach(a=>{if(e[a]==null)throw new Error(`classWeight must contain all classes in the training data. The class ${a} exists in the data but not in classWeight`);i.push(e[a])}),Le(i,\"float32\")}else return null}function Q$(r,t){return R(r,t)}var C8=32;function rD(r,t){let e,n,o=t;e=o.xs,n=o.ys,y.assert(e!=null&&n!=null,()=>`A Dataset iterator for fitDataset() is expected to generate objects of the form \\`{xs: xVal, ys: yVal}\\`, where the two values may be \\`tf.Tensor\\`, an array of Tensors, or a map of string to Tensor. The provided Dataset instead generates ${t}`);let s=tD(\"input\",r.inputNames,e),i=tD(\"output\",r.outputNames,n),a=s[0].shape[0];y.assert(s.length===r.inputs.length,()=>`LayersModel has ${r.inputs.length} inputs, but the dataset provides ${s.length} inputs. (Expected input keys: ${JSON.stringify(r.inputNames)})`),y.assert(i.length===r.outputs.length,()=>`LayersModel has ${r.outputs.length} outputs, but the dataset provides ${i.length} outputs. (Expected output keys: ${JSON.stringify(r.outputNames)})`);for(let u=0;u`Batch size mismatch: input ${r.inputNames[u]} has ${s[u].shape[0]}; expected ${a} based on input ${r.inputNames[0]}.`);for(let u=0;u`Batch size mismatch: output ${r.outputNames[u]} has ${i[u].shape[0]}; expected ${a} based on input ${r.inputNames[0]}.`);return{xs:s,ys:i}}function tD(r,t,e){if(e instanceof Ft)return[e];if(Array.isArray(e))return y.assert(e.length===t.length,()=>`Received an array of ${e.length} Tensors, but expected ${t.length} to match the ${r} keys ${t}.`),e;{let n=[];for(let o of t){if(e[o]==null)throw new z(`The feature data generated by the dataset lacks the required ${r} key '${o}'.`);n.push(e[o])}return n}}function I8(r){if(r.length===3)throw new vt(\"Validation with sample weights is not implemented yet.\");return{xs:r[0],ys:r[1]}}async function nD(r,t,e){let n=e.batchesPerEpoch!=null;if(y.assert(r.optimizer!=null,()=>\"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig).\"),y.assert(e!=null,()=>\"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call.\"),y.assert(e.epochs!=null&&e.epochs>0&&Number.isInteger(e.epochs),()=>`For fitDataset(), config.epochs is expected to be a positive integer, but got ${e.epochs}`),y.assert(!n||e.batchesPerEpoch>0&&Number.isInteger(e.batchesPerEpoch),()=>`For fitDataset(), config.batchesPerEpoch is expected to be a positive integer if specified, but got ${e.batchesPerEpoch}`),y.assert(e.validationSplit==null,()=>\"`validationSplit` is not supported by `fitDataset()`. Use validationData instead.\"),r.isTraining)throw new Error(\"Cannot start training because another fit() call is ongoing.\");r.isTraining=!0;try{let o=e.validationData!=null,s,i;if(o)if(eD(e.validationData))y.assert(e.validationBatches==null||e.validationBatches>0&&Number.isInteger(e.validationBatches),()=>`For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, but got ${e.validationBatches}`);else{let g=I8(e.validationData);s=g.xs,i=g.ys}let a=r.makeTrainFunction(),u=r.getDedupedMetricsNames(),l;o?l=u.slice().concat(u.map(g=>\"val_\"+g)):l=u.slice();let c=Fy(e.callbacks,e.yieldEvery),p=e.verbose==null?1:e.verbose,{callbackList:m,history:f}=Oy(c,p,e.epochs,null,null,v8(t,e),null,o,l);m.setModel(r),r.history=f,await m.onTrainBegin(),r.stopTraining_=!1;let d=e.initialEpoch==null?0:e.initialEpoch,h=await t.iterator();for(;d=e.batchesPerEpoch:w.done){if(o){let C;eD(e.validationData)?C=xe(await r.evaluateDataset(e.validationData,{batches:e.validationBatches})):C=xe(r.evaluate(s,i,{batchSize:e.validationBatchSize==null?C8:e.validationBatchSize,verbose:0}));for(let N=0;N0)throw new vt(\"Verbose mode is not implemented yet.\");y.assert(!n||e.batches>0&&Number.isInteger(e.batches),()=>`Test loop expects \\`batches\\` to be a positive integer, but received ${JSON.stringify(e.batches)}`);let i=S8(t)?t:await t.iterator(),a=0,u=0;for(;!n||u{if(l.value){let{xs:c,ys:p}=rD(r,l.value),m=c.concat(p),f=B(()=>o(m));if(St(m),u===0)for(let h=0;hX(s[h],R(d,g))),u>0&&St(x)}St(f),a+=d,++u}return s}),l.done){n&&console.warn(`Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least \\`batches\\` batches (in this case, ${e.batches} batches). You may need to use the repeat() function when building your dataset.`);break}}for(let l=0;l0&&Number.isInteger(r),()=>`batchSize is required to be a positive integer, but got ${r}`)}function Um(r,t,e){return r==null?[null]:Array.isArray(r)?r.map(n=>Qa(n,t,e-t)):Qa(r,t,e-t)}function Hy(r,t){return B(()=>r==null?null:Array.isArray(r)?r.map(e=>Hy(e,t)):Sy(r,t.dtype===\"int32\"?t:J(t,\"int32\")))}function qy(r,t){let e=[],n=0,o=null;for(;n=r&&(o=r),e.push([n,o]),n=o;return e}async function N8(r,t,e,n,o,s,i,a,u,l,c,p,m,f,d){o==null&&(o=32),s==null&&(s=1),c==null&&(c=!0),m==null&&(m=0);let h=!1;if(u!=null&&l!=null&&(h=!0),d!=null&&(h=!0,f==null))throw new z(\"Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.\");let g=r.checkNumSamples(e,o,f,\"steps_per_epoch\"),x;g!=null&&(x=Yr(0,g)),i==null&&(i=1);let{callbackList:b,history:w}=Oy(a,i,s,m,g,f,o,h,p);b.setModel(r),r.history=w,await b.onTrainBegin(),r.stopTraining_=!1;for(let C=m;C{let P=A[$][0],V=A[$][1],G=Qa(_,P,V-P);F.batch=$,F.size=V-P;let W=Hy(e,G),q=t(W);for(let H=0;H0){if(g=!0,n.validationData.length===2)u=n.validationData[0],l=n.validationData[1];else throw n.validationData.length===3?new vt(\"validationData including sample weights is not supported yet.\"):new z(`When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; ${n.validationData} is invalid.`);let F=!0,P=await r.standardizeUserData(u,l,null,null,F,f);c=P[0],p=P[1],x=c.concat(p)}else if(n.validationSplit!=null&&n.validationSplit>0&&n.validationSplit<1){g=!0;let F=Math.floor(o[0].shape[0]*(1-n.validationSplit)),P=o[0].shape[0];c=Um(o,F,P),i=o,o=Um(o,0,F),p=Um(s,F,P),a=s,s=Um(s,0,F),x=c.concat(p)}else n.validationSteps!=null&&(g=!0);let b=o.concat(s).concat(m);r.checkTrainableWeightsConsistency();let w=r.makeTrainFunction(),C=r.getDedupedMetricsNames(),N,_;g?(r.makeTestFunction(),N=r.testFunction,_=C.slice().concat(C.map(F=>\"val_\"+F))):(N=null,x=[],_=C.slice());let A=Fy(n.callbacks,n.yieldEvery);return await N8(r,w,b,C,f,n.epochs,n.verbose,A,N,x,n.shuffle,_,n.initialEpoch,null,null)}finally{r.isTraining=!1,To(o,t),To(s,e),To(i,t),To(a,e),To(c,u),To(p,l),m!=null&&St(m)}}function _0(r){let t=[];r instanceof Ft&&(r=[r]);for(let e=0;ee.push(o.id));else if(t!=null)for(let o in t){let s=t[o];e.push(s.id)}let n=[];if(r instanceof Ft)e.indexOf(r.id)===-1&&n.push(r);else if(Array.isArray(r))r.forEach(o=>{e.indexOf(o.id)===-1&&n.push(o)});else if(r!=null)for(let o in r){let s=r[o];e.indexOf(s.id)===-1&&n.push(s)}n.forEach(o=>{o.isDisposed||o.dispose()})}function k8(r){return r instanceof Ft}function A0(r){return Array.isArray(r)}function iD(r){return!k8(r)&&!A0(r)}function aD(r,t,e,n=!0,o=\"\"){if(t==null||t.length===0){if(r!=null){let i=!1;if(A0(r)&&r.length>0)i=!0;else if(iD(r)){for(let a in r)if(r.hasOwnProperty(a)){i=!0;break}}else i=!0;if(i)throw new z(`Error when checking model ${o} expected no data, but got ${r}`)}return[]}if(r==null)return t.map(i=>null);let s;if(iD(r)){r=r,s=[];for(let i of t){if(r[i]==null)throw new z(`No data provided for \"${i}\". Need data for each key in: ${t}`);s.push(r[i])}}else if(A0(r)){if(r=r,r.length!==t.length)throw new z(`Error when checking model ${o}: the Array of Tensors that you are passing to your model is not the size the model expected. Expected to see ${t.length} Tensor(s), but instead got the following list of Tensor(s): ${r}`);s=r}else{if(r=r,t.length>1)throw new z(`The model ${o} expects ${t.length} Tensor(s), but only received one Tensor. Found: Tensor with shape ${r.shape}`);s=[r]}if(s=_0(s),e!=null)for(let i=0;i=0&&l!==c)throw new z(`${o} expected a batch of elements where each example has shape [${e[i].slice(1,e[i].length)}] (i.e.,tensor shape [*,${e[i].slice(1,e[i].length)}]) but the ${o} received an input with ${a.shape[0]} examples, each with shape [${a.shape.slice(1,a.shape.length)}] (tensor shape [${a.shape}])`)}}return s}function T8(r,t,e){let n=vo(r.map(s=>s.shape[0]));n.sort();let o=vo(t.map(s=>s.shape[0]));if(o.sort(),n.length>1)throw new z(`All input Tensors (x) should have the same number of samples. Got array shapes: ${JSON.stringify(r.map(s=>s.shape))}`);if(o.length>1)throw new z(`All target Tensors (y) should have the same number of samples. Got array shapes: ${JSON.stringify(t.map(s=>s.shape))}`);if(n.length>0&&o.length>0&&!y.arraysEqual(n,o))throw new z(`Input Tensors should have the same number of samples as target Tensors. Found ${n[0]} input sample(s) and ${o[0]} target sample(s).`)}function E8(r,t,e){let n=[Wi,Gm,xc];for(let o=0;o1)throw new z(`The model expects ${t.length} ${o} Tensors, but only received one Tensor. Found: array with shape ${JSON.stringify(r.shape)}.`);s=[r]}if(e!=null)for(let i=0;i[]);let e;if(typeof r==\"string\"||typeof r==\"function\")e=[r];else if(Array.isArray(r)||typeof r==\"object\")e=r;else throw new TypeError(`Type of metrics argument not understood. Expected an string,function, Array, or Object, found: ${r}`);if(Array.isArray(e))return t.map(n=>e);{let n=[];for(let o of t){let s=e.hasOwnProperty(o)?e[o]:[];Array.isArray(s)||(s=[s]),n.push(s)}return n}}var A8=\"layers-model\",Mn=class extends Ln{constructor(t){super(t),this.isTraining=!1}summary(t,e,n=console.log){if(!this.built)throw new z(\"This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).\");Z$(this,t,e,n)}compile(t){if(t.loss==null&&(t.loss=[]),this.loss=t.loss,typeof t.optimizer==\"string\")this.optimizer_=Y$(t.optimizer),this.isOptimizerOwned=!0;else{if(!(t.optimizer instanceof Gr))throw new z(\"User-defined optimizer must be an instance of tf.Optimizer.\");this.optimizer_=t.optimizer,this.isOptimizerOwned=!1}let e=[];if(!Array.isArray(t.loss)&&typeof t.loss!=\"string\"&&typeof t.loss!=\"function\"){t.loss=t.loss;for(let i in t.loss)if(this.outputNames.indexOf(i)===-1)throw new z(`Unknown entry in loss dictionary: \"${i}\". Only expected the following keys: ${this.outputNames}`);for(let i of this.outputNames)t.loss[i]==null&&console.warn(`Output \"${i}\" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data to be passed to ${i} during training`),e.push(Py(t.loss[i]))}else if(Array.isArray(t.loss)){if(t.loss.length!==this.outputs.length)throw new z(`When passing an Array as loss, it should have one entry per model output. The model has ${this.outputs.length} output(s), but you passed loss=${t.loss}.`);e=t.loss.map(a=>Py(a))}else{let i=Py(t.loss);this.outputs.forEach(a=>{e.push(i)})}this.lossFunctions=e,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(let i=0;i{for(let i=0;i1&&(this.metricsTensors.push([a,i]),this.metricsNames.push(this.outputNames[i]+\"_loss\"))}});let o=_8(t.metrics,this.outputNames),s=(i,a,u)=>{this.outputNames.length>1&&(a=this.outputNames[i]+\"_\"+a),this.metricsNames.push(a),this.metricsTensors.push([u,i])};Ws(\"metric\",()=>{for(let i=0;i{let c=\"\",p,m,f;for(let d of l){if(typeof d==\"string\"&&[\"accuracy\",\"acc\",\"crossentropy\",\"ce\"].indexOf(d)!==-1){let g=this.internalOutputShapes[i];g[g.length-1]===1||this.lossFunctions[i]===Gm?[\"accuracy\",\"acc\"].indexOf(d)!==-1?m=Ch:[\"crossentropy\",\"ce\"].indexOf(d)!==-1&&(m=My):this.lossFunctions[i]===Vm?[\"accuracy\",\"acc\"].indexOf(d)!==-1?m=zy:[\"crossentropy\",\"ce\"].indexOf(d)!==-1&&(m=k0):[\"accuracy\",\"acc\"].indexOf(d)!==-1?m=Ih:[\"crossentropy\",\"ce\"].indexOf(d)!==-1&&(m=vh);let x;[\"accuracy\",\"acc\"].indexOf(d)!==-1?x=\"acc\":[\"crossentropy\",\"ce\"].indexOf(d)!==-1&&(x=\"ce\"),f=m,p=c+x}else f=j$(d),p=c+Sh(d);let h;Ws(p,()=>{h=f}),s(i,p,h)}})(a)}}),this.collectedTrainableWeights=this.trainableWeights}checkTrainableWeightsConsistency(){this.collectedTrainableWeights!=null&&this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn(\"Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?\")}evaluate(t,e,n={}){let o=n.batchSize==null?32:n.batchSize;Uy(o);let s=!0,i=this.standardizeUserDataXY(t,e,s,o);try{let a=i[0].concat(i[1]);this.makeTestFunction();let u=this.testFunction,l=this.testLoop(u,a,o,n.verbose,n.steps);return Sr(l)}finally{To(i[0],t),To(i[1],e)}}async evaluateDataset(t,e){return this.makeTestFunction(),oD(this,t,e)}checkNumSamples(t,e,n,o=\"steps\"){let s;if(n!=null){if(s=null,e!=null)throw new z(`If ${o} is set, batchSize must be null or undefined.Got batchSize = ${e}`)}else if(t!=null)Array.isArray(t)?s=t[0].shape[0]:s=t.shape[0];else throw new z(`Either the input data should have a defined shape, or ${o} shoud be specified.`);return s}execute(t,e){if(Array.isArray(e)&&e.length===0)throw new z(\"`outputs` is an empty Array, which is not allowed.\");let n=Array.isArray(e),o=n?e:[e],s=this.retrieveSymbolicTensors(o),i=new ko;if(t instanceof Ft&&(t=[t]),Array.isArray(t)){if(t.length!==this.inputs.length)throw new z(`The number of inputs provided (${t.length}) does not match the number of inputs of this model (${this.inputs.length}).`);for(let u=0;ua.name);for(let a=0;a0){let o=[];throw e.forEach((s,i)=>{s==null&&o.push(t[i])}),new z(`Cannot find SymbolicTensors for output name(s): ${JSON.stringify(o)}`)}return e}predictLoop(t,e=32,n=!1){return B(()=>{let o=this.checkNumSamples(t);if(n)throw new vt(\"Verbose predictLoop() is not implemented yet.\");let s=qy(o,e),i=this.outputs.map(a=>[]);for(let a=0;a{let l=s[a][0],c=s[a][1],p=Um(t,l,c),m=[];if(Array.isArray(p))for(let d=0;di[c].push(l));return Sr(i.map(a=>ne(a,0)))})}predict(t,e={}){let n=_0(t);lD(n,this.inputNames,this.feedInputShapes,!1);try{let o=e.batchSize==null?32:e.batchSize;return Uy(o),this.predictLoop(n,o)}finally{To(n,t)}}predictOnBatch(t){lD(t,this.inputNames,this.feedInputShapes,!0);let e=(Array.isArray(t)?t[0]:t).shape[0];return this.predictLoop(t,e)}standardizeUserDataXY(t,e,n=!0,o){if(this.optimizer_==null)throw new Ur(\"You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).\");let s=[];for(let i=0;i0&&t[0].shape[0]%o!==0)throw new z(`In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size ${o}. Found: ${t[0].shape[0]} sample(s).`);return[t,e]}async standardizeUserData(t,e,n,o,s=!0,i){let[a,u]=this.standardizeUserDataXY(t,e,s,i);if(n!=null)throw new Error(\"sample weight is not supported yet.\");let l=null;if(o!=null){let c=Gy(o,this.outputNames);l=[];for(let p=0;p{let i=this.checkNumSamples(e,n,s,\"steps\"),a=[];if(o>0)throw new vt(\"Verbose mode is not implemented yet.\");if(s!=null)throw new vt(\"steps mode in testLoop() is not implemented yet\");{let u=qy(i,n),l=Le(Yr(0,i));for(let c=0;c1&&(s+=`_${g0(t.slice(0,n),o)}`),e.push(s)}return e}makeTrainFunction(){return t=>{let e=[],n=t.slice(0,this.inputs.length),o=t.slice(this.inputs.length,this.inputs.length+this.outputs.length),s=t.slice(this.inputs.length+this.outputs.length,this.inputs.length+this.outputs.length*2),i=[],a=()=>{let p=[];for(let h=0;h1&&h{d=X(d,h)}),d},u=this.collectedTrainableWeights.map(p=>p.read()),l=!0;return[this.optimizer_.minimize(a,l,u)].concat(i)}}makeTestFunction(){this.testFunction=t=>B(()=>{let e=[],n,o=t.slice(0,this.inputs.length),s=t.slice(this.inputs.length,this.inputs.length+this.outputs.length),i=[];for(let l=0;lIo(e))}else{let e=Object.keys(this.loss);t={};let n=this.loss;for(let o of e)if(typeof n[o]==\"string\")t[o]=Io(n[o]);else throw new Error(\"Serialization of non-string loss is not supported.\")}return t}getMetricIdentifiers(){if(typeof this.metrics==\"string\"||typeof this.metrics==\"function\")return[Io(Sh(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map(t=>Io(Sh(t)));{let t={};for(let e in this.metrics)t[e]=Io(Sh(this.metrics[e]));return t}}getTrainingConfig(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}}loadTrainingConfig(t){if(t.weighted_metrics!=null)throw new Error(\"Loading weight_metrics is not supported yet.\");if(t.loss_weights!=null)throw new Error(\"Loading loss_weights is not supported yet.\");if(t.sample_weight_mode!=null)throw new Error(\"Loading sample_weight_mode is not supported yet.\");let e=yc(t.optimizer_config),n=hn(e),o;if(typeof t.loss==\"string\")o=Ja(t.loss);else if(Array.isArray(t.loss))o=t.loss.map(i=>Ja(i));else if(t.loss!=null){o={};for(let i in t.loss)o[i]=Ja(t.loss[i])}let s;if(Array.isArray(t.metrics))s=t.metrics.map(i=>Ja(i));else if(t.metrics!=null){s={};for(let i in t.metrics)s[i]=Ja(t.metrics[i])}this.compile({loss:o,metrics:s,optimizer:n})}async save(t,e){if(typeof t==\"string\"){let l=Er.getSaveHandlers(t);if(l.length===0)throw new z(`Cannot find any save handlers for URL '${t}'`);if(l.length>1)throw new z(`Found more than one (${l.length}) save handlers for URL '${t}'`);t=l[0]}if(t.save==null)throw new z(\"LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.\");let n=await Er.encodeWeights(this.getNamedWeights(e)),o=!1,s=null,a={modelTopology:this.toJSON(s,o),format:A8,generatedBy:`TensorFlow.js tfjs-layers v${Wm}`,convertedBy:null};if((e==null?!1:e.includeOptimizer)&&this.optimizer!=null){a.trainingConfig=this.getTrainingConfig();let l=\"optimizer\",{data:c,specs:p}=await Er.encodeWeights(await this.optimizer.getWeights(),l);n.specs.push(...p),n.data=Er.concatenateArrayBuffers([n.data,c])}return this.userDefinedMetadata!=null&&(E0(this.userDefinedMetadata,this.name,!0),a.userDefinedMetadata=this.userDefinedMetadata),a.weightData=n.data,a.weightSpecs=n.specs,t.save(a)}setUserDefinedMetadata(t){E0(t,this.name),this.userDefinedMetadata=t}getUserDefinedMetadata(){return this.userDefinedMetadata}};Mn.className=\"Model\";Q.registerClass(Mn);var Ky=class extends Mn{};Ky.className=\"Functional\";Q.registerClass(Ky);async function uD(r,t){\"modelTopology\"in r||(r={modelTopology:r}),r=r;let e=r.modelTopology;e.model_config!=null&&(e=e.model_config);let n=yc(e),o=hn(n,t);if(r.weightsManifest!=null){let s=await Er.loadWeights(r.weightsManifest,r.pathPrefix,o.weights.map(a=>a.originalName)),i={};for(let a of o.weights)i[a.originalName]=s[a.originalName];o.loadWeights(i),St(s)}return o}async function cD(r,t){if(t==null&&(t={}),typeof r==\"string\"){let e=Er.getLoadHandlers(r,t);if(e.length===0)e.push(Er.browserHTTPRequest(r,t));else if(e.length>1)throw new z(`Found more than one (${e.length}) load handlers for URL '${r}'`);r=e[0]}return $8(r,void 0,t)}async function $8(r,t,e){if(e==null&&(e={}),r.load==null)throw new z(\"Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.\");let n=await r.load(),o=n.modelTopology;o.model_config!=null&&(o=o.model_config);let s=e.strict==null?!0:e.strict,i=n.weightData!=null&&n.weightSpecs!=null&&s,a=hn(yc(o),t,i),u=n.trainingConfig;if(u!=null&&a.loadTrainingConfig(u),n.userDefinedMetadata!=null&&a.setUserDefinedMetadata(n.userDefinedMetadata),n.weightData!=null){if(n.weightSpecs==null)throw new z(\"LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.\");let{modelWeights:l,optimizerWeights:c}=D8(n.weightData,n.weightSpecs);a.loadWeights(l,s),a.optimizer!=null&&c.length>0&&await a.optimizer.setWeights(c),St(l),St(c.map(p=>p.tensor))}return a}function D8(r,t){let e=Er.decodeWeights(r,t),n={},o=[];return t.forEach(s=>{s.group===\"optimizer\"?o.push({name:s.name,tensor:e[s.name]}):n[s.name]=e[s.name]}),{modelWeights:n,optimizerWeights:o}}var Ui=class extends Mn{constructor(t){if(super({inputs:[],outputs:[]}),t=t||{},this.trainable=!0,this.built=!1,this.name=t.name!=null?t.name:hu(\"sequential_\"),t.layers!=null)for(let e of t.layers)this.add(e)}checkShape(t){if(t.inboundNodes[0].outputTensors[0].shape.some(n=>n<0))throw new z(`Negative dimension size caused by adding layer ${t.name} with input shape [${t.inboundNodes[0].inputTensors[0].shape}]`)}add(t){let e=t instanceof Ui||t instanceof Mn,n;if(e){if(n=t,n.outputs.length!==1)throw new z(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");if(n.inputs.length!==1)throw new z(\"All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.\")}if(this.outputs.length===0){if(t.inboundNodes.length===0){if(t.batchInputShape==null)throw new z(\"The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.\");let o=Ty({batchShape:t.batchInputShape,dtype:t.dtype,name:t.name+\"_input\"});t.apply(o)}if(e)this.outputs=n.outputs,this.inputs=n.inputs;else{if(t.inboundNodes.length!==1)throw new z(`A layer added to a Sequential model must not already be connected somewhere else. LayersModel received layer ${t.name} which has ${t.inboundNodes.length} pre-existing inbound connections.`);if(t.inboundNodes[0].outputTensors.length!==1)throw new z(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");this.checkShape(t),this.outputs=[t.inboundNodes[0].outputTensors[0]],this.inputs=I0(this.outputs[0])}this.inboundNodes=[],new rl({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:Co(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(o=>o.shape),outputShapes:this.outputs[0].shape})}else{let o=t.apply(this.outputs[0]);if(Array.isArray(o))throw new TypeError(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");this.checkShape(t),this.outputs=[o],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(t),this.built=!1}pop(){if(this.layers.length===0)throw new TypeError(\"There are no layers in the model.\");if(this.layers.pop(),this.layers.length===0)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{let t=this.layers.length-1;this.layers[t].outboundNodes=[],this.outputs=[this.layers[t].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}}call(t,e){return this.model==null&&this.build(),this.model.call(t,e)}build(t){if(Jt(t),this.inputs.length===0||this.outputs.length===0)throw new TypeError(\"Sequential model cannot be built: model is empty. Add some layers first.\");this.model=new Mn({inputs:this.inputs,outputs:this.outputs[0],name:this.name+\"_model\"}),this.model.trainable=this.trainable,this.supportsMasking=this.model.supportsMasking,this.inputLayers=this.model.inputLayers,this.inputLayersNodeIndices=this.model.inputLayersNodeIndices,this.inputLayersTensorIndices=this.model.inputLayersTensorIndices,this.outputLayers=this.model.outputLayers,this.outputLayersNodeIndices=this.model.outputLayersNodeIndices,this.outputLayersTensorIndices=this.model.outputLayersTensorIndices,this.nodesByDepth=this.model.nodesByDepth,this.containerNodes=this.model.containerNodes,this.outputNames=this.model.outputNames,this.inputNames=this.model.inputNames,this.built=!0}countParams(){return this.built||this.build(),super.countParams()}summary(t,e,n=console.log){this.built||this.build(),super.summary(t,e,n)}setWeights(t){this.model==null&&this.build(),this.model.setWeights(t)}evaluate(t,e,n={}){if(!this.built)throw new Ur(\"The model needs to be compiled before being used.\");return this.model.evaluate(t,e,n)}async evaluateDataset(t,e){if(!this.built)throw new Ur(\"The model needs to be compiled before being used.\");return this.model.evaluateDataset(t,e)}predict(t,e={}){return this.model==null&&this.build(),this.model.predict(t,e)}predictOnBatch(t){return this.model==null&&this.build(),this.model.predictOnBatch(t)}compile(t){this.build(),this.model.compile(t),this.optimizer_=this.model.optimizer,this.isOptimizerOwned=this.model.isOptimizerOwned,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames}get optimizer(){return this.model==null?void 0:this.model.optimizer}set optimizer(t){this.model.optimizer=t}async fit(t,e,n={}){if(!this.built)throw new Ur(\"The model needs to be compiled before being used.\");return this.model.fit(t,e,n)}async fitDataset(t,e){if(!this.built)throw new Ur(\"The model needs to be compiled before being used.\");return this.model.fitDataset(t,e)}async trainOnBatch(t,e){return this.model.trainOnBatch(t,e)}static fromConfig(t,e,n={},o=!1){let s,i={};if(e instanceof Array){if(e[0].className==null||e[0].className===\"Merge\")throw new z(\"Legacy serialization format not supported yet.\");s=e}else y.assert(e.layers!=null,()=>\"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field.\"),s=e.layers,delete e.layers,i=e;let a=new t(i);if(!(a instanceof Ui))throw new vt(`Sequential.fromConfig called on non-Sequential input: ${a}`);for(let u of s){let c=hn(u,void 0,o);o&&c.setFastWeightInitDuringBuild(!0),a.add(c)}return a}set stopTraining(t){if(this.model==null)throw new z(\"Cannot set the stopTraining property of a sequential model before it is compiled.\");this.model.stopTraining=t}get stopTraining(){if(this.model==null)throw new z(\"Cannot get the stopTraining property of a sequential model before it is compiled.\");return this.model.stopTraining}getConfig(){let t=[];for(let e of this.layers){let n={};n.className=e.getClassName(),n.config=e.getConfig(),t.push(n)}return{name:this.name,layers:t}}};Ui.className=\"Sequential\";Q.registerClass(Ui);function R8(r){return new Mn(r)}function F8(r){return new Ui(r)}function O8(r,t){return t==null&&(t={}),cD(r,t)}function $0(r){return Ty(r)}function P8(r,t){dn.registerCallbackConstructor(r,t)}var Qr=class extends Q.Serializable{getConfig(){return{}}},jy=class extends Qr{apply(t,e=1){return _$(t,e)}};jy.className=\"elu\";Q.registerClass(jy);var Xy=class extends Qr{apply(t){return cm(t)}};Xy.className=\"selu\";Q.registerClass(Xy);var Yy=class extends Qr{apply(t){return Rr(t)}};Yy.className=\"relu\";Q.registerClass(Yy);var Zy=class extends Qr{apply(t){return B(()=>Pi(6,Rr(t)))}};Zy.className=\"relu6\";Q.registerClass(Zy);var Jy=class extends Qr{apply(t){return t}};Jy.className=\"linear\";Q.registerClass(Jy);var Qy=class extends Qr{apply(t){return Xr(t)}};Qy.className=\"sigmoid\";Q.registerClass(Qy);var tb=class extends Qr{apply(t){return $$(t)}};tb.className=\"hardSigmoid\";Q.registerClass(tb);var eb=class extends Qr{apply(t){return Ms(t)}};eb.className=\"softplus\";Q.registerClass(eb);var rb=class extends Qr{apply(t){return A$(t)}};rb.className=\"softsign\";Q.registerClass(rb);var nb=class extends Qr{apply(t){return _i(t)}};nb.className=\"tanh\";Q.registerClass(nb);var Hm=class extends Qr{apply(t,e=-1){return ou(t,e)}};Hm.className=\"softmax\";Q.registerClass(Hm);var ob=class extends Qr{apply(t,e=-1){return om(t,e)}};ob.className=\"logSoftmax\";Q.registerClass(ob);var sb=class extends Qr{apply(t,e=1){return B(()=>R(Xr(R(t,e)),t))}};sb.className=\"swish\";Q.registerClass(sb);var ib=class extends Qr{apply(t){return B(()=>R(t,_i(Ms(t))))}};ib.className=\"mish\";Q.registerClass(ib);function qs(r){return r.getClassName()}function D0(r,t={}){return Bi(r,Q.SerializationMap.getMap().classNameMap,t,\"activation\")}function Ks(r){if(r==null){let t={};return t.className=\"linear\",t.config={},D0(t)}if(typeof r==\"string\"){let t={};return t.className=r,t.config={},D0(t)}else return r instanceof Qr?r:D0(r)}function R0(r){if(r!=null&&typeof r!=\"object\")throw new Error(`Argument to L1L2 regularizer's constructor is expected to be an object, but received: ${r}`)}var ab=class extends Q.Serializable{},bu=class extends ab{constructor(t){super(),R0(t),this.l1=t==null||t.l1==null?.01:t.l1,this.l2=t==null||t.l2==null?.01:t.l2,this.hasL1=this.l1!==0,this.hasL2=this.l2!==0}apply(t){return B(()=>{let e=Ne([1]);return this.hasL1&&(e=X(e,ft(R(this.l1,Ee(t))))),this.hasL2&&(e=X(e,ft(R(this.l2,lc(t))))),D(e,[])})}getConfig(){return{l1:this.l1,l2:this.l2}}static fromConfig(t,e){return new t({l1:e.l1,l2:e.l2})}};bu.className=\"L1L2\";Q.registerClass(bu);function fD(r){return R0(r),new bu({l1:r!=null?r.l1:null,l2:0})}function dD(r){return R0(r),new bu({l2:r!=null?r.l2:null,l1:0})}var pD={l1l2:\"L1L2\"};function me(r){return Im(r)}function mD(r,t={}){return Bi(r,Q.SerializationMap.getMap().classNameMap,t,\"regularizer\")}function be(r){if(r==null)return null;if(typeof r==\"string\"){let e={className:r in pD?pD[r]:r,config:{}};return mD(e)}else return r instanceof ab?r:mD(r)}var qm=class extends Rt{constructor(t){super(t==null?{}:t),this.supportsMasking=!0,t!=null&&(this.maxValue=t.maxValue)}call(t,e){t=At(t);let n=Rr(t);return this.maxValue!=null&&(n=Cr(n,0,this.maxValue)),n}computeOutputShape(t){return t}getConfig(){let t={maxValue:this.maxValue},e=super.getConfig();return Object.assign(t,e),t}};qm.className=\"ReLU\";Q.registerClass(qm);var Km=class extends Rt{constructor(t){super(t==null?{}:t),this.DEFAULT_ALPHA=.3,t==null&&(t={}),this.alpha=t.alpha==null?this.DEFAULT_ALPHA:t.alpha}call(t,e){let n=At(t);return Zl(n,this.alpha)}computeOutputShape(t){return t}getConfig(){let t={alpha:this.alpha},e=super.getConfig();return Object.assign(t,e),t}};Km.className=\"LeakyReLU\";Q.registerClass(Km);var jm=class extends Rt{constructor(t){if(super(t==null?{}:t),this.DEFAULT_ALPHA_INITIALIZER=\"zeros\",t==null&&(t={}),this.supportsMasking=!0,this.alphaInitializer=de(t.alphaInitializer||this.DEFAULT_ALPHA_INITIALIZER),this.alphaRegularizer=be(t.alphaRegularizer),this.alphaConstraint=ze(t.alphaConstraint),t.sharedAxes==null)this.sharedAxes=null;else if(Array.isArray(t.sharedAxes))this.sharedAxes=t.sharedAxes;else if(typeof t.sharedAxes==\"number\")this.sharedAxes=[t.sharedAxes];else throw new z(`Expected sharedAxes to be a number or an array of numbers, but got ${t.sharedAxes}`)}build(t){t=Jt(t);let e=t.slice(1);if(this.sharedAxes!=null)for(let o of this.sharedAxes)e[o-1]=1;this.alpha=this.addWeight(\"alpha\",e,\"float32\",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);let n={};if(this.sharedAxes!=null)for(let o=1;o(Re(t),t===\"channelsFirst\"?Ot(r,[0,2,3,1]):r))}function F0(r,t){return B(()=>(Re(t),t===\"channelsFirst\"?Ot(r,[0,2,3,4,1]):r))}function M8(r,t,e,n=1,o=\"valid\",s,i=1){return B(()=>{if(s==null&&(s=pn()),Re(s),r.shape.length!==3)throw new z(`The input of a conv1dWithBias operation should be 3, but is ${r.shape.length} instead.`);if(t.shape.length!==3)throw new z(`The kernel for a conv1dWithBias operation should be 3, but is ${t.shape.length} instead`);if(e!=null&&e.shape.length!==1)throw new z(`The bias for a conv1dWithBias operation should be 1, but is ${t.shape.length} instead`);if(s===\"channelsFirst\"&&(r=Ot(r,[0,2,1])),o===\"causal\")throw new vt(\"The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.\");let a=Jp(r,t,n,o===\"same\"?\"same\":\"valid\",\"NWC\",i);return e!=null&&(a=mn(a,e)),a})}function hD(r,t,e,n=[1,1],o=\"valid\",s,i,a=null){return B(()=>{if(s==null&&(s=pn()),Re(s),r.rank!==3&&r.rank!==4)throw new z(`conv2dWithBiasActivation expects input to be of rank 3 or 4, but received ${r.rank}.`);if(t.rank!==3&&t.rank!==4)throw new z(`conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received ${r.rank}.`);let u=Nh(r,s);if(o===\"causal\")throw new vt(\"The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.\");return u=au.conv2d({x:u,filter:t,strides:n,pad:o===\"same\"?\"same\":\"valid\",dilations:i,dataFormat:\"NHWC\",bias:e,activation:a}),s===\"channelsFirst\"&&(u=Ot(u,[0,3,1,2])),u})}function z8(r,t,e,n=[1,1,1],o=\"valid\",s,i){return B(()=>{if(s==null&&(s=pn()),Re(s),r.rank!==4&&r.rank!==5)throw new z(`conv3dWithBias expects input to be of rank 4 or 5, but received ${r.rank}.`);if(t.rank!==4&&t.rank!==5)throw new z(`conv3dWithBias expects kernel to be of rank 4 or 5, but received ${r.rank}.`);let a=F0(r,s);if(o===\"causal\")throw new vt(\"The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.\");return a=Cx(a,t,n,o===\"same\"?\"same\":\"valid\",\"NDHWC\",i),e!=null&&(a=mn(a,e)),s===\"channelsFirst\"&&(a=Ot(a,[0,4,1,2,3])),a})}var bc=class extends Rt{constructor(t,e){if(super(e),this.bias=null,this.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",this.DEFAULT_BIAS_INITIALIZER=\"zeros\",bc.verifyArgs(e),this.rank=t,Ze(this.rank,\"rank\"),this.rank!==1&&this.rank!==2&&this.rank!==3)throw new vt(`Convolution layer for rank other than 1, 2, or 3 (${this.rank}) is not implemented yet.`);if(this.kernelSize=wu(e.kernelSize,t,\"kernelSize\"),this.strides=wu(e.strides==null?1:e.strides,t,\"strides\"),this.padding=e.padding==null?\"valid\":e.padding,cn(this.padding),this.dataFormat=e.dataFormat==null?\"channelsLast\":e.dataFormat,Re(this.dataFormat),this.activation=Ks(e.activation),this.useBias=e.useBias==null?!0:e.useBias,this.biasInitializer=de(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.biasConstraint=ze(e.biasConstraint),this.biasRegularizer=be(e.biasRegularizer),this.activityRegularizer=be(e.activityRegularizer),this.dilationRate=wu(e.dilationRate==null?1:e.dilationRate,t,\"dilationRate\"),this.rank===1&&Array.isArray(this.dilationRate)&&this.dilationRate.length!==1)throw new z(`dilationRate must be a number or an array of a single number for 1D convolution, but received ${JSON.stringify(this.dilationRate)}`);if(this.rank===2){if(typeof this.dilationRate==\"number\")this.dilationRate=[this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==2)throw new z(`dilationRate must be a number or array of two numbers for 2D convolution, but received ${JSON.stringify(this.dilationRate)}`)}else if(this.rank===3){if(typeof this.dilationRate==\"number\")this.dilationRate=[this.dilationRate,this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==3)throw new z(`dilationRate must be a number or array of three numbers for 3D convolution, but received ${JSON.stringify(this.dilationRate)}`)}}static verifyArgs(t){if(eo(\"kernelSize\"in t,\"required key 'kernelSize' not in config\"),typeof t.kernelSize!=\"number\"&&!gy(t.kernelSize,\"number\",1,3))throw new z(`BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received ${JSON.stringify(t.kernelSize)}.`)}getConfig(){let t={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:qs(this.activation),useBias:this.useBias,biasInitializer:ke(this.biasInitializer),biasRegularizer:me(this.biasRegularizer),activityRegularizer:me(this.activityRegularizer),biasConstraint:Me(this.biasConstraint)},e=super.getConfig();return Object.assign(t,e),t}},Cu=class extends bc{constructor(t,e){super(t,e),this.kernel=null,Cu.verifyArgs(e),this.filters=e.filters,Ze(this.filters,\"filters\"),this.kernelInitializer=de(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.kernelConstraint=ze(e.kernelConstraint),this.kernelRegularizer=be(e.kernelRegularizer)}build(t){t=Jt(t);let e=this.dataFormat===\"channelsFirst\"?1:t.length-1;if(t[e]==null)throw new z(`The channel dimension of the input should be defined. Found ${t[e]}`);let n=t[e],o=this.kernelSize.concat([n,this.filters]);this.kernel=this.addWeight(\"kernel\",o,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:{[e]:n}}],this.built=!0}call(t,e){return B(()=>{t=At(t);let n,o=this.bias==null?null:this.bias.read(),s=xy(this.activation.getClassName());if(s!=null&&this.rank===2)n=hD(t,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate,s);else{if(this.rank===1)n=M8(t,this.kernel.read(),o,this.strides[0],this.padding,this.dataFormat,this.dilationRate[0]);else if(this.rank===2)n=hD(t,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate);else if(this.rank===3)n=z8(t,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate);else throw new vt(\"convolutions greater than 3D are not implemented yet.\");this.activation!=null&&(n=this.activation.apply(n))}return n})}computeOutputShape(t){t=Jt(t);let e=[],n=this.dataFormat===\"channelsLast\"?t.slice(1,t.length-1):t.slice(2);for(let s=0;s 0 but got ${JSON.stringify(t.filters)}`)}},ol=class extends Cu{constructor(t){super(2,t),ol.verifyArgs(t)}getConfig(){let t=super.getConfig();return delete t.rank,t}static verifyArgs(t){if(typeof t.kernelSize!=\"number\"&&!gy(t.kernelSize,\"number\",1,2))throw new z(`Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received ${JSON.stringify(t.kernelSize)}.`)}};ol.className=\"Conv2D\";Q.registerClass(ol);var sl=class extends Cu{constructor(t){super(3,t),sl.verifyArgs(t)}getConfig(){let t=super.getConfig();return delete t.rank,t}static verifyArgs(t){if(typeof t.kernelSize!=\"number\"&&!(Array.isArray(t.kernelSize)&&(t.kernelSize.length===1||t.kernelSize.length===3)))throw new z(`Conv3D expects config.kernelSize to be number or [number, number, number], but received ${JSON.stringify(t.kernelSize)}.`)}};sl.className=\"Conv3D\";Q.registerClass(sl);var Jm=class extends ol{constructor(t){if(super(t),this.inputSpec=[new ye({ndim:4})],this.padding!==\"same\"&&this.padding!==\"valid\")throw new z(`Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(t){if(t=Jt(t),t.length!==4)throw new z(\"Input should have rank 4; Received input shape: \"+JSON.stringify(t));let e=this.dataFormat===\"channelsFirst\"?1:t.length-1;if(t[e]==null)throw new z(\"The channel dimension of the inputs should be defined. Found `None`.\");let n=t[e],o=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight(\"kernel\",o,\"float32\",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.filters],\"float32\",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new ye({ndim:4,axes:{[e]:n}})],this.built=!0}call(t,e){return B(()=>{let n=At(t);if(n.shape.length!==4)throw new z(`Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let o=n.shape,s=o[0],i,a;this.dataFormat===\"channelsFirst\"?(i=2,a=3):(i=1,a=2);let u=o[i],l=o[a],c=this.kernelSize[0],p=this.kernelSize[1],m=this.strides[0],f=this.strides[1],d=js(u,m,c,this.padding),h=js(l,f,p,this.padding),g=[s,d,h,this.filters];this.dataFormat!==\"channelsLast\"&&(n=Ot(n,[0,2,3,1]));let x=tm(n,this.kernel.read(),g,this.strides,this.padding);return this.dataFormat!==\"channelsLast\"&&(x=Ot(x,[0,3,1,2])),this.bias!=null&&(x=mn(x,this.bias.read(),this.dataFormat)),this.activation!=null&&(x=this.activation.apply(x)),x})}computeOutputShape(t){t=Jt(t);let e=t.slice(),n,o,s;this.dataFormat===\"channelsFirst\"?(n=1,o=2,s=3):(n=3,o=1,s=2);let i=this.kernelSize[0],a=this.kernelSize[1],u=this.strides[0],l=this.strides[1];return e[n]=this.filters,e[o]=js(e[o],u,i,this.padding),e[s]=js(e[s],l,a,this.padding),e}getConfig(){let t=super.getConfig();return delete t.dilationRate,t}};Jm.className=\"Conv2DTranspose\";Q.registerClass(Jm);var Qm=class extends sl{constructor(t){if(super(t),this.inputSpec=[new ye({ndim:5})],this.padding!==\"same\"&&this.padding!==\"valid\")throw new z(`Conv3DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(t){if(t=Jt(t),t.length!==5)throw new z(\"Input should have rank 5; Received input shape: \"+JSON.stringify(t));let e=this.dataFormat===\"channelsFirst\"?1:t.length-1;if(t[e]==null)throw new z(\"The channel dimension of the inputs should be defined. Found `None`.\");let n=t[e],o=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight(\"kernel\",o,\"float32\",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.filters],\"float32\",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new ye({ndim:5,axes:{[e]:n}})],this.built=!0}call(t,e){return B(()=>{let n=At(t);if(n.shape.length!==5)throw new z(`Conv3DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let o=n.shape,s=o[0],i,a,u;this.dataFormat===\"channelsFirst\"?(u=2,i=3,a=4):(u=1,i=2,a=3);let l=o[u],c=o[i],p=o[a],m=this.kernelSize[0],f=this.kernelSize[1],d=this.kernelSize[2],h=this.strides[0],g=this.strides[1],x=this.strides[2],b=js(l,h,m,this.padding),w=js(c,g,f,this.padding),C=js(p,x,d,this.padding),N=[s,b,w,C,this.filters];this.dataFormat!==\"channelsLast\"&&(n=Ot(n,[0,2,3,4,1]));let _=vx(n,this.kernel.read(),N,this.strides,this.padding);return this.dataFormat!==\"channelsLast\"&&(_=Ot(_,[0,4,1,2,3])),this.bias!==null&&(_=mn(_,this.bias.read(),this.dataFormat)),this.activation!==null&&(_=this.activation.apply(_)),_})}computeOutputShape(t){t=Jt(t);let e=t.slice(),n,o,s,i;this.dataFormat===\"channelsFirst\"?(n=1,o=2,s=3,i=4):(n=4,o=1,s=2,i=3);let a=this.kernelSize[0],u=this.kernelSize[1],l=this.kernelSize[2],c=this.strides[0],p=this.strides[1],m=this.strides[2];return e[n]=this.filters,e[o]=js(e[o],c,a,this.padding),e[s]=js(e[s],p,u,this.padding),e[i]=js(e[i],m,l,this.padding),e}getConfig(){let t=super.getConfig();return delete t.dilationRate,t}};Qm.className=\"Conv3DTranspose\";Q.registerClass(Qm);var lb=class extends Cu{constructor(t,e){if(super(t,e),this.DEFAULT_DEPTHWISE_INITIALIZER=\"glorotUniform\",this.DEFAULT_POINTWISE_INITIALIZER=\"glorotUniform\",this.depthwiseKernel=null,this.pointwiseKernel=null,e.filters==null)throw new z(\"The `filters` configuration field is required by SeparableConv, but is unspecified.\");if(e.kernelInitializer!=null||e.kernelRegularizer!=null||e.kernelConstraint!=null)throw new z(\"Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.\");if(e.padding!=null&&e.padding!==\"same\"&&e.padding!==\"valid\")throw new z(`SeparableConv${this.rank}D supports only padding modes: 'same' and 'valid', but received ${JSON.stringify(e.padding)}`);this.depthMultiplier=e.depthMultiplier==null?1:e.depthMultiplier,this.depthwiseInitializer=de(e.depthwiseInitializer||this.DEFAULT_DEPTHWISE_INITIALIZER),this.depthwiseRegularizer=be(e.depthwiseRegularizer),this.depthwiseConstraint=ze(e.depthwiseConstraint),this.pointwiseInitializer=de(e.depthwiseInitializer||this.DEFAULT_POINTWISE_INITIALIZER),this.pointwiseRegularizer=be(e.pointwiseRegularizer),this.pointwiseConstraint=ze(e.pointwiseConstraint)}build(t){if(t=Jt(t),t.length{t=At(t);let n;if(this.rank===1)throw new vt(\"1D separable convolution is not implemented yet.\");return this.rank===2&&(this.dataFormat===\"channelsFirst\"&&(t=Ot(t,[0,2,3,1])),n=pm(t,this.depthwiseKernel.read(),this.pointwiseKernel.read(),this.strides,this.padding,this.dilationRate,\"NHWC\")),this.useBias&&(n=mn(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),this.dataFormat===\"channelsFirst\"&&(n=Ot(n,[0,3,1,2])),n})}getConfig(){let t=super.getConfig();return delete t.rank,delete t.kernelInitializer,delete t.kernelRegularizer,delete t.kernelConstraint,t.depthwiseInitializer=ke(this.depthwiseInitializer),t.pointwiseInitializer=ke(this.pointwiseInitializer),t.depthwiseRegularizer=me(this.depthwiseRegularizer),t.pointwiseRegularizer=me(this.pointwiseRegularizer),t.depthwiseConstraint=Me(this.depthwiseConstraint),t.pointwiseConstraint=Me(this.pointwiseConstraint),t}};lb.className=\"SeparableConv\";var tf=class extends lb{constructor(t){super(2,t)}};tf.className=\"SeparableConv2D\";Q.registerClass(tf);var Iu=class extends Cu{constructor(t){super(1,t),Iu.verifyArgs(t),this.inputSpec=[{ndim:3}]}getConfig(){let t=super.getConfig();return delete t.rank,delete t.dataFormat,t}static verifyArgs(t){if(typeof t.kernelSize!=\"number\"&&!gy(t.kernelSize,\"number\",1,1))throw new z(`Conv1D expects config.kernelSize to be number or number[] with length 1, but received ${JSON.stringify(t.kernelSize)}.`)}};Iu.className=\"Conv1D\";Q.registerClass(Iu);var ef=class extends Rt{constructor(t){super(t),typeof t.cropping==\"number\"?this.cropping=[[t.cropping,t.cropping],[t.cropping,t.cropping]]:typeof t.cropping[0]==\"number\"?this.cropping=[[t.cropping[0],t.cropping[0]],[t.cropping[1],t.cropping[1]]]:this.cropping=t.cropping,this.dataFormat=t.dataFormat===void 0?\"channelsLast\":t.dataFormat,this.inputSpec=[{ndim:4}]}computeOutputShape(t){return this.dataFormat===\"channelsFirst\"?[t[0],t[1],t[2]-this.cropping[0][0]-this.cropping[0][1],t[3]-this.cropping[1][0]-this.cropping[1][1]]:[t[0],t[1]-this.cropping[0][0]-this.cropping[0][1],t[2]-this.cropping[1][0]-this.cropping[1][1],t[3]]}call(t,e){return B(()=>{if(t=At(t),this.dataFormat===\"channelsLast\"){let n=hh(t,this.cropping[0][0],t.shape[1]-this.cropping[0][0]-this.cropping[0][1],2);return hh(n,this.cropping[1][0],t.shape[2]-this.cropping[1][1]-this.cropping[1][0],3)}else{let n=hh(t,this.cropping[0][0],t.shape[2]-this.cropping[0][0]-this.cropping[0][1],3);return hh(n,this.cropping[1][0],t.shape[3]-this.cropping[1][1]-this.cropping[1][0],4)}})}getConfig(){let t={cropping:this.cropping,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}};ef.className=\"Cropping2D\";Q.registerClass(ef);var rf=class extends Rt{constructor(t){super(t),this.DEFAULT_SIZE=[2,2],this.inputSpec=[{ndim:4}],this.size=t.size==null?this.DEFAULT_SIZE:t.size,this.dataFormat=t.dataFormat==null?\"channelsLast\":t.dataFormat,Re(this.dataFormat),this.interpolation=t.interpolation==null?\"nearest\":t.interpolation,v$(this.interpolation)}computeOutputShape(t){if(this.dataFormat===\"channelsFirst\"){let e=t[2]==null?null:this.size[0]*t[2],n=t[3]==null?null:this.size[1]*t[3];return[t[0],t[1],e,n]}else{let e=t[1]==null?null:this.size[0]*t[1],n=t[2]==null?null:this.size[1]*t[2];return[t[0],e,n,t[3]]}}call(t,e){return B(()=>{let n=At(t),o=n.shape;if(this.dataFormat===\"channelsFirst\"){n=Ot(n,[0,2,3,1]);let s=this.size[0]*o[2],i=this.size[1]*o[3],a=this.interpolation===\"nearest\"?lu.resizeNearestNeighbor(n,[s,i]):lu.resizeBilinear(n,[s,i]);return Ot(a,[0,3,1,2])}else{let s=this.size[0]*o[1],i=this.size[1]*o[2];return this.interpolation===\"nearest\"?lu.resizeNearestNeighbor(n,[s,i]):lu.resizeBilinear(n,[s,i])}})}getConfig(){let t={size:this.size,dataFormat:this.dataFormat,interpolation:this.interpolation},e=super.getConfig();return Object.assign(t,e),t}};rf.className=\"UpSampling2D\";Q.registerClass(rf);function B8(r,t,e=[1,1],n=\"valid\",o,s){return B(()=>{o==null&&(o=pn()),Re(o);let i=Nh(r,o);if(r.rank!==4)throw new z(`Input for depthwiseConv2d is required to be 4-D, but is instead ${r.rank}-D`);if(t.rank!==4)throw new z(`depthwiseKernel is required to be 4-D, but is instead ${t.rank}-D`);return i=Di(i,t,e,n===\"same\"?\"same\":\"valid\",\"NHWC\",s),o===\"channelsFirst\"&&(i=Ot(i,[0,3,1,2])),i})}var nf=class extends bc{constructor(t){super(2,t),this.depthwiseKernel=null,this.depthMultiplier=t.depthMultiplier==null?1:t.depthMultiplier,this.depthwiseInitializer=de(t.depthwiseInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.depthwiseConstraint=ze(t.depthwiseConstraint),this.depthwiseRegularizer=be(t.depthwiseRegularizer)}build(t){if(t=Jt(t),t.length<4)throw new z(`Inputs to DepthwiseConv2D should have rank 4. Received input shape: ${JSON.stringify(t)}.`);let e=this.dataFormat===\"channelsFirst\"?1:3;if(t[e]==null||t[e]<0)throw new z(`The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not (${t[e]}).`);let n=t[e],o=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight(\"depthwise_kernel\",o,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(t,e){return B(()=>{t=At(t);let n=B8(t,this.depthwiseKernel.read(),this.strides,this.padding,this.dataFormat,null);return this.useBias&&(n=mn(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),n})}computeOutputShape(t){t=Jt(t);let e=this.dataFormat===\"channelsFirst\"?t[2]:t[1],n=this.dataFormat===\"channelsFirst\"?t[3]:t[2],o=this.dataFormat===\"channelsFirst\"?t[1]*this.depthMultiplier:t[3]*this.depthMultiplier,s=Sn(e,this.kernelSize[0],this.padding,this.strides[0]),i=Sn(n,this.kernelSize[1],this.padding,this.strides[1]);return this.dataFormat===\"channelsFirst\"?[t[0],o,s,i]:[t[0],s,i,o]}getConfig(){let t=super.getConfig();return t.depthMultiplier=this.depthMultiplier,t.depthwiseInitializer=ke(this.depthwiseInitializer),t.depthwiseRegularizer=me(this.depthwiseRegularizer),t.depthwiseConstraint=Me(this.depthwiseRegularizer),t}};nf.className=\"DepthwiseConv2D\";Q.registerClass(nf);function O0(r,t,e,n){if(Array.isArray(r)){if(t!=null||e!=null)throw new z(\"When inputs is an array, neither initialState or constants should be provided\");n!=null&&(e=r.slice(r.length-n,r.length),r=r.slice(0,r.length-n)),r.length>1&&(t=r.slice(1,r.length)),r=r[0]}function o(s){return s==null||Array.isArray(s)?s:[s]}return t=o(t),e=o(e),{inputs:r,initialState:t,constants:e}}function P0(r,t,e,n=!1,o,s,i=!1,a=!1){return B(()=>{let u=t.shape.length;if(u<3)throw new z(`Input should be at least 3D, but is ${u}D.`);let l=[1,0].concat(Yr(2,u));if(t=Ot(t,l),s!=null)throw new vt(\"The rnn() functoin of the deeplearn.js backend does not support constants yet.\");i&&console.warn(\"Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend.\"),o!=null&&(o=J(J(o,\"bool\"),\"float32\"),o.rank===u-1&&(o=gr(o,-1)),o=Ot(o,l)),n&&(t=ur(t,0),o!=null&&(o=ur(o,0)));let c=[],p,m=e,f=t.shape[0],d=vr(t),h;o!=null&&(h=vr(o));for(let x=0;xr(b,m));if(o==null)p=w[0],m=w[1];else{let C=B(()=>{let N=h[x],_=ct(xr(N),N),A=X(R(w[0],N),R(m[0],_)),$=m.map((F,P)=>X(R(w[1][P],N),R(F,_)));return{output:A,newStates:$}});p=C.output,m=C.newStates}a&&c.push(p)}let g;return a&&(g=rr(c,1)),[p,g,m]})}var Nn=class extends Rt{constructor(t){super(t);let e;if(t.cell==null)throw new z(\"cell property is missing for the constructor of RNN.\");if(Array.isArray(t.cell)?e=new Ic({cells:t.cell}):e=t.cell,e.stateSize==null)throw new z(\"The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).\");this.cell=e,this.returnSequences=t.returnSequences==null?!1:t.returnSequences,this.returnState=t.returnState==null?!1:t.returnState,this.goBackwards=t.goBackwards==null?!1:t.goBackwards,this._stateful=t.stateful==null?!1:t.stateful,this.unroll=t.unroll==null?!1:t.unroll,this.supportsMasking=!0,this.inputSpec=[new ye({ndim:3})],this.stateSpec=null,this.states_=null,this.numConstants=null,this.keptStates=[]}getStates(){if(this.states_==null){let t=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;return Yr(0,t).map(e=>null)}else return this.states_}setStates(t){this.states_=t}computeOutputShape(t){ky(t)&&(t=t[0]),t=t;let e=this.cell.stateSize;Array.isArray(e)||(e=[e]);let n=e[0],o;if(this.returnSequences?o=[t[0],t[1],n]:o=[t[0],n],this.returnState){let s=[];for(let i of e)s.push([t[0],i]);return[o].concat(s)}else return o}computeMask(t,e){return B(()=>{Array.isArray(e)&&(e=e[0]);let n=this.returnSequences?e:null;if(this.returnState){let o=this.states.map(s=>null);return[n].concat(o)}else return n})}get states(){if(this.states_==null){let t=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,e=[];for(let n=0;na.shape[a.shape.length-1]),i))throw new z(`An initialState was passed that is not compatible with cell.stateSize. Received stateSpec=${this.stateSpec}; However cell.stateSize is ${this.cell.stateSize}`)}else this.stateSpec=i.map(a=>new ye({shape:[null,a]}));this.stateful&&this.resetStates()}resetStates(t,e=!1){B(()=>{if(!this.stateful)throw new vn(\"Cannot call resetStates() on an RNN Layer that is not stateful.\");let n=this.inputSpec[0].shape[0];if(n==null)throw new z(\"If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \\n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.\");if(this.states_==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(o=>Ne([n,o])):this.states_=[Ne([n,this.cell.stateSize])];else if(t==null)St(this.states_),this.keptStates!=null&&(St(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(o=>Ne([n,o])):this.states_[0]=Ne([n,this.cell.stateSize]);else{if(Array.isArray(t)||(t=[t]),t.length!==this.states_.length)throw new z(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${t.length} state value(s). Input received: ${t}`);e===!0?this.keptStates.push(this.states_.slice()):St(this.states_);for(let o=0;oDe(o.clone()))})}apply(t,e){let n=e==null?null:e.initialState,o=e==null?null:e.constants;e==null&&(e={});let s=O0(t,n,o,this.numConstants);t=s.inputs,n=s.initialState,o=s.constants;let i=[],a=[];if(n!=null){e.initialState=n,i=i.concat(n),this.stateSpec=[];for(let l of n)this.stateSpec.push(new ye({shape:l.shape}));a=a.concat(this.stateSpec)}if(o!=null&&(e.constants=o,i=i.concat(o),this.numConstants=o.length),i[0]instanceof Jr){let l=[t].concat(i),c=this.inputSpec.concat(a),p=this.inputSpec;this.inputSpec=c;let m=super.apply(l,e);return this.inputSpec=p,m}else return super.apply(t,e)}call(t,e){return B(()=>{let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;t=At(t),s==null&&(this.stateful?s=this.states_:s=this.getInitialState(t));let i=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;if(s.length!==i)throw new z(`RNN Layer has ${i} state(s) but was passed ${s.length} initial state(s).`);this.unroll&&console.warn(\"Ignoring unroll = true for RNN layer, due to imperative backend.\");let a={training:o},l=P0((d,h)=>{let g=this.cell.call([d].concat(h),a);return[g[0],g.slice(1)]},t,s,this.goBackwards,n,null,this.unroll,this.returnSequences),c=l[0],p=l[1],m=l[2];this.stateful&&this.resetStates(m,o);let f=this.returnSequences?p:c;return this.returnState?[f].concat(m):f})}getInitialState(t){return B(()=>{let e=Ne(t.shape);return e=ft(e,[1,2]),e=el(e),Array.isArray(this.cell.stateSize)?this.cell.stateSize.map(n=>n>1?vy(e,[1,n]):e):this.cell.stateSize>1?[vy(e,[1,this.cell.stateSize])]:[e]})}get trainableWeights(){return this.trainable?this.cell.trainableWeights:[]}get nonTrainableWeights(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}setFastWeightInitDuringBuild(t){super.setFastWeightInitDuringBuild(t),this.cell!=null&&this.cell.setFastWeightInitDuringBuild(t)}getConfig(){let t=super.getConfig(),e={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};this.numConstants!=null&&(e.numConstants=this.numConstants);let n=this.cell.getConfig();return this.getClassName()===Nn.className&&(e.cell={className:this.cell.getClassName(),config:n}),Object.assign({},n,t,e)}static fromConfig(t,e,n={}){let o=e.cell,s=hn(o,n);return new t(Object.assign(e,{cell:s}))}};Nn.className=\"RNN\";Q.registerClass(Nn);var il=class extends Rt{},wc=class extends il{constructor(t){super(t),this.DEFAULT_ACTIVATION=\"tanh\",this.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",this.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",this.DEFAULT_BIAS_INITIALIZER=\"zeros\",this.units=t.units,Ze(this.units,\"units\"),this.activation=Ks(t.activation==null?this.DEFAULT_ACTIVATION:t.activation),this.useBias=t.useBias==null?!0:t.useBias,this.kernelInitializer=de(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=de(t.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=de(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=be(t.kernelRegularizer),this.recurrentRegularizer=be(t.recurrentRegularizer),this.biasRegularizer=be(t.biasRegularizer),this.kernelConstraint=ze(t.kernelConstraint),this.recurrentConstraint=ze(t.recurrentConstraint),this.biasConstraint=ze(t.biasConstraint),this.dropout=ac([1,Us([0,t.dropout==null?0:t.dropout])]),this.recurrentDropout=ac([1,Us([0,t.recurrentDropout==null?0:t.recurrentDropout])]),this.dropoutFunc=t.dropoutFunc,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(t){t=Jt(t),this.kernel=this.addWeight(\"kernel\",[t[t.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(t,e){return B(()=>{if(t=t,t.length!==2)throw new z(`SimpleRNNCell expects 2 input Tensors, got ${t.length}.`);let n=t[1];t=t[0];let o=e.training==null?!1:e.training;0xr(t),rate:this.dropout,training:o,dropoutFunc:this.dropoutFunc})),0xr(n),rate:this.recurrentDropout,training:o,dropoutFunc:this.dropoutFunc}));let s,i=this.dropoutMask,a=this.recurrentDropoutMask;i!=null?s=No(R(t,i),this.kernel.read()):s=No(t,this.kernel.read()),this.bias!=null&&(s=mn(s,this.bias.read())),a!=null&&(n=R(n,a));let u=X(s,No(n,this.recurrentKernel.read()));return this.activation!=null&&(u=this.activation.apply(u)),[u,u]})}getConfig(){let t=super.getConfig(),e={units:this.units,activation:qs(this.activation),useBias:this.useBias,kernelInitializer:ke(this.kernelInitializer),recurrentInitializer:ke(this.recurrentInitializer),biasInitializer:ke(this.biasInitializer),kernelRegularizer:me(this.kernelRegularizer),recurrentRegularizer:me(this.recurrentRegularizer),biasRegularizer:me(this.biasRegularizer),activityRegularizer:me(this.activityRegularizer),kernelConstraint:Me(this.kernelConstraint),recurrentConstraint:Me(this.recurrentConstraint),biasConstraint:Me(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign({},t,e)}};wc.className=\"SimpleRNNCell\";Q.registerClass(wc);var of=class extends Nn{constructor(t){t.cell=new wc(t),super(t)}call(t,e){return B(()=>{this.cell.dropoutMask!=null&&(St(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(St(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;return super.call(t,{mask:n,training:o,initialState:s})})}static fromConfig(t,e){return new t(e)}};of.className=\"SimpleRNN\";Q.registerClass(of);var Cc=class extends il{constructor(t){if(super(t),this.DEFAULT_ACTIVATION=\"tanh\",this.DEFAULT_RECURRENT_ACTIVATION=\"hardSigmoid\",this.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",this.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",this.DEFAULT_BIAS_INITIALIZER=\"zeros\",t.resetAfter)throw new z(\"GRUCell does not support reset_after parameter set to true.\");this.units=t.units,Ze(this.units,\"units\"),this.activation=Ks(t.activation===void 0?this.DEFAULT_ACTIVATION:t.activation),this.recurrentActivation=Ks(t.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),this.useBias=t.useBias==null?!0:t.useBias,this.kernelInitializer=de(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=de(t.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=de(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=be(t.kernelRegularizer),this.recurrentRegularizer=be(t.recurrentRegularizer),this.biasRegularizer=be(t.biasRegularizer),this.kernelConstraint=ze(t.kernelConstraint),this.recurrentConstraint=ze(t.recurrentConstraint),this.biasConstraint=ze(t.biasConstraint),this.dropout=ac([1,Us([0,t.dropout==null?0:t.dropout])]),this.recurrentDropout=ac([1,Us([0,t.recurrentDropout==null?0:t.recurrentDropout])]),this.dropoutFunc=t.dropoutFunc,this.implementation=t.implementation,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(t){t=Jt(t);let e=t[t.length-1];this.kernel=this.addWeight(\"kernel\",[e,this.units*3],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,this.units*3],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[this.units*3],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(t,e){return B(()=>{if(t=t,t.length!==2)throw new z(`GRUCell expects 2 input Tensors (inputs, h, c), got ${t.length}.`);let n=e.training==null?!1:e.training,o=t[1];t=t[0],0xr(t),rate:this.dropout,training:n,count:3,dropoutFunc:this.dropoutFunc})),0xr(o),rate:this.recurrentDropout,training:n,count:3,dropoutFunc:this.dropoutFunc}));let s=this.dropoutMask,i=this.recurrentDropoutMask,a,u,l;0{this.cell.dropoutMask!=null&&(St(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(St(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;return super.call(t,{mask:n,training:o,initialState:s})})}static fromConfig(t,e){return e.implmentation===0&&(e.implementation=1),new t(e)}};sf.className=\"GRU\";Q.registerClass(sf);var al=class extends il{constructor(t){super(t),this.DEFAULT_ACTIVATION=\"tanh\",this.DEFAULT_RECURRENT_ACTIVATION=\"hardSigmoid\",this.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",this.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",this.DEFAULT_BIAS_INITIALIZER=\"zeros\",this.units=t.units,Ze(this.units,\"units\"),this.activation=Ks(t.activation===void 0?this.DEFAULT_ACTIVATION:t.activation),this.recurrentActivation=Ks(t.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),this.useBias=t.useBias==null?!0:t.useBias,this.kernelInitializer=de(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=de(t.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=de(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.unitForgetBias=t.unitForgetBias,this.kernelRegularizer=be(t.kernelRegularizer),this.recurrentRegularizer=be(t.recurrentRegularizer),this.biasRegularizer=be(t.biasRegularizer),this.kernelConstraint=ze(t.kernelConstraint),this.recurrentConstraint=ze(t.recurrentConstraint),this.biasConstraint=ze(t.biasConstraint),this.dropout=ac([1,Us([0,t.dropout==null?0:t.dropout])]),this.recurrentDropout=ac([1,Us([0,t.recurrentDropout==null?0:t.recurrentDropout])]),this.dropoutFunc=t.dropoutFunc,this.implementation=t.implementation,this.stateSize=[this.units,this.units],this.dropoutMask=null,this.recurrentDropoutMask=null}build(t){var e;t=Jt(t);let n=t[t.length-1];this.kernel=this.addWeight(\"kernel\",[n,this.units*4],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,this.units*4],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint);let o;if(this.useBias){if(this.unitForgetBias){let s=this.biasInitializer,i=this.units;o=new(e=class extends fn{apply(u,l){let c=s.apply([i]),p=new xu().apply([i]),m=s.apply([i*2]);return C0(C0(c,p),m)}},e.className=\"CustomInit\",e)}else o=this.biasInitializer;this.bias=this.addWeight(\"bias\",[this.units*4],null,o,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0}call(t,e){return B(()=>{let n=e.training==null?!1:e.training;if(t=t,t.length!==3)throw new z(`LSTMCell expects 3 input Tensors (inputs, h, c), got ${t.length}.`);let o=t[1],s=t[2];t=t[0],0xr(t),rate:this.dropout,training:n,count:4,dropoutFunc:this.dropoutFunc})),0xr(o),rate:this.recurrentDropout,training:n,count:4,dropoutFunc:this.dropoutFunc}));let i=this.dropoutMask,a=this.recurrentDropoutMask,u,l,c,p;0{this.cell.dropoutMask!=null&&(St(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(St(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;return super.call(t,{mask:n,training:o,initialState:s})})}static fromConfig(t,e){return e.implmentation===0&&(e.implementation=1),new t(e)}};af.className=\"LSTM\";Q.registerClass(af);var Ic=class extends il{constructor(t){super(t),this.cells=t.cells}get stateSize(){let t=[];for(let e of this.cells.slice().reverse())Array.isArray(e.stateSize)?t.push(...e.stateSize):t.push(e.stateSize);return t}call(t,e){return B(()=>{t=t;let n=t.slice(1),o=[];for(let a of this.cells.slice().reverse())Array.isArray(a.stateSize)?o.push(n.splice(0,a.stateSize.length)):o.push(n.splice(0,1));o.reverse();let s=[],i;for(let a=0;a{Ws(`RNNCell_${o}`,()=>{n.build(t),Array.isArray(n.stateSize)?e=n.stateSize[0]:e=n.stateSize,t=[t[0],e]})}),this.built=!0}getConfig(){let t=super.getConfig(),e=s=>({className:s.getClassName(),config:s.getConfig()}),o={cells:this.cells.map(e)};return Object.assign({},t,o)}static fromConfig(t,e,n={}){let o=[];for(let s of e.cells)o.push(hn(s,n));return new t({cells:o})}get trainableWeights(){if(!this.trainable)return[];let t=[];for(let e of this.cells)t.push(...e.trainableWeights);return t}get nonTrainableWeights(){let t=[];for(let e of this.cells)t.push(...e.nonTrainableWeights);if(!this.trainable){let e=[];for(let n of this.cells)e.push(...n.trainableWeights);return e.concat(t)}return t}getWeights(){let t=[];for(let e of this.cells)t.push(...e.weights);return xh(t)}setWeights(t){let e=[];for(let n of this.cells){let o=n.weights.length,s=t.splice(o);for(let i=0;is!=null?s(t(),e):Ny(t(),e),a=()=>gu(i,t,n);return!o||o<=1?De(a().clone()):Array(o).fill(void 0).map(a).map(l=>De(l.clone()))}var V8=function(r,t){var e={};for(var n in r)Object.prototype.hasOwnProperty.call(r,n)&&t.indexOf(n)<0&&(e[n]=r[n]);if(r!=null&&typeof Object.getOwnPropertySymbols==\"function\")for(var o=0,n=Object.getOwnPropertySymbols(r);o{if(this.cell.dropoutMask!=null&&(St(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(St(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null),e&&e.constants)throw new z(\"ConvRNN2D cell does not support constants\");let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;return super.call(t,{mask:n,training:o,initialState:s})})}computeOutputShape(t){let e=this.computeSingleOutputShape(t);return this.returnSequences||(e=[e[0],...e.slice(2)]),this.returnState&&(e=[e,...Array(2).fill([t[0],...e.slice(-3)])]),e}getInitialState(t){return B(()=>{let{stateSize:e}=this.cell,n=t.shape,o=this.computeSingleOutputShape(n),s=[o[0],...o.slice(2)],i=Ne(s);return Array.isArray(e)?Array(e.length).fill(i):[i]})}resetStates(t,e=!1){B(()=>{if(!this.stateful)throw new vn(\"Cannot call resetStates() on an RNN Layer that is not stateful.\");let n=this.inputSpec[0].shape,o=this.computeSingleOutputShape(n),s=[o[0],...o.slice(2)];if(n[0]==null)throw new z(\"If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \\n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.\");if(this.getStates()==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>Ne(s)):this.states_=[Ne(s)];else if(t==null)St(this.states_),this.keptStates!=null&&(St(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>Ne(s)):this.states_[0]=Ne(s);else{if(Array.isArray(t)||(t=[t]),t.length!==this.states_.length)throw new z(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${t.length} state value(s). Input received: ${t}`);e?this.keptStates.push(this.states_.slice()):St(this.states_);for(let a=0;aDe(a.clone()))})}computeSingleOutputShape(t){let{dataFormat:e,filters:n,kernelSize:o,padding:s,strides:i,dilationRate:a}=this.cell,u=e===\"channelsFirst\",l=t[u?3:2],c=t[u?4:3],p=Sn(l,o[0],s,i[0],a[0]),m=Sn(c,o[1],s,i[1],a[1]);return[...t.slice(0,2),...u?[n,p,m]:[p,m,n]]}};ub.className=\"ConvRNN2D\";var vc=class extends al{constructor(t){let{filters:e,kernelSize:n,strides:o,padding:s,dataFormat:i,dilationRate:a}=t;super(Object.assign({},t,{units:e})),this.filters=e,Ze(this.filters,\"filters\"),this.kernelSize=wu(n,2,\"kernelSize\"),this.kernelSize.forEach(u=>Ze(u,\"kernelSize\")),this.strides=wu(o||1,2,\"strides\"),this.strides.forEach(u=>Ze(u,\"strides\")),this.padding=s||\"valid\",cn(this.padding),this.dataFormat=i||\"channelsLast\",Re(this.dataFormat),this.dilationRate=wu(a||1,2,\"dilationRate\"),this.dilationRate.forEach(u=>Ze(u,\"dilationRate\"))}build(t){var e;t=Jt(t);let n=this.dataFormat===\"channelsFirst\"?1:t.length-1;if(t[n]==null)throw new z(`The channel dimension of the input should be defined. Found ${t[n]}`);let o=t[n],s=4,i=this.kernelSize.concat([o,this.filters*s]);this.kernel=this.addWeight(\"kernel\",i,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);let a=this.kernelSize.concat([this.filters,this.filters*s]);if(this.recurrentKernel=this.addWeight(\"recurrent_kernel\",a,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){let u;if(this.unitForgetBias){let l=this.biasInitializer,c=this.filters;u=new(e=class extends fn{apply(m,f){let d=l.apply([c]),h=lr([c]),g=l.apply([c*2]);return Sm([d,h,g])}},e.className=\"CustomInit\",e)}else u=this.biasInitializer;this.bias=this.addWeight(\"bias\",[this.filters*s],null,u,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0}call(t,e){return B(()=>{if(t.length!==3)throw new z(`ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got ${t.length}.`);let n=e.training||!1,o=t[0],s=t[1],i=t[2],a=4;0xr(o),rate:this.dropout,training:n,count:a,dropoutFunc:this.dropoutFunc}));let u=this.dropoutMask,l=(rt,ot,at)=>!ot||!ot[at]?rt:R(ot[at],rt),c=l(o,u,0),p=l(o,u,1),m=l(o,u,2),f=l(o,u,3);0xr(s),rate:this.recurrentDropout,training:n,count:a,dropoutFunc:this.dropoutFunc}));let d=this.recurrentDropoutMask,h=l(s,d,0),g=l(s,d,1),x=l(s,d,2),b=l(s,d,3),w=3,[C,N,_,A]=cr(this.kernel.read(),a,w),[$,F,P,V]=this.useBias?cr(this.bias.read(),a):[null,null,null,null];c=this.inputConv(c,C,$,this.padding),p=this.inputConv(p,N,F,this.padding),m=this.inputConv(m,_,P,this.padding),f=this.inputConv(f,A,V,this.padding);let[G,W,q,H]=cr(this.recurrentKernel.read(),a,w);h=this.recurrentConv(h,G),g=this.recurrentConv(g,W),x=this.recurrentConv(x,q),b=this.recurrentConv(b,H);let j=this.recurrentActivation.apply(X(c,h)),Y=this.recurrentActivation.apply(X(p,g)),Z=X(R(Y,i),R(j,this.activation.apply(X(m,x)))),et=R(this.recurrentActivation.apply(X(f,b)),this.activation.apply(Z));return[et,et,Z]})}getConfig(){let t=super.getConfig(),{units:e}=t,n=V8(t,[\"units\"]),o={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign({},n,o)}inputConv(t,e,n,o){let s=Cn(t,e,this.strides,o||\"valid\",this.dataFormat===\"channelsFirst\"?\"NCHW\":\"NHWC\",this.dilationRate);return n?mn(s,n,this.dataFormat):s}recurrentConv(t,e){return Cn(t,e,1,\"same\",this.dataFormat===\"channelsFirst\"?\"NCHW\":\"NHWC\")}};vc.className=\"ConvLSTM2DCell\";Q.registerClass(vc);var lf=class extends ub{constructor(t){let e=new vc(t);super(Object.assign({},t,{cell:e}))}static fromConfig(t,e){return new t(e)}};lf.className=\"ConvLSTM2D\";Q.registerClass(lf);var Sc=class extends Rt{constructor(t){super(t),this.rate=Math.max(Math.min(t.rate,1),0),this.noiseShape=t.noiseShape,this.seed=t.seed,this.supportsMasking=!0}getNoiseShape(t){if(this.noiseShape==null)return this.noiseShape;let e=t.shape,n=[];for(let o=0;o{this.invokeCallHook(t,e);let n=At(t);if(0Ny(n,this.rate,s,this.seed),()=>n,o)}return t})}getConfig(){let t={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},e=super.getConfig();return Object.assign(t,e),t}dispose(){return super.dispose()}};Sc.className=\"Dropout\";Q.registerClass(Sc);var uf=class extends Sc{constructor(t){super(t),this.inputSpec=[{ndim:3}]}getNoiseShape(t){let e=t.shape;return[e[0],1,e[2]]}};uf.className=\"SpatialDropout1D\";Q.registerClass(uf);var cf=class extends Rt{constructor(t){if(super(t),this.activation=null,this.useBias=!0,this.kernel=null,this.bias=null,this.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",this.DEFAULT_BIAS_INITIALIZER=\"zeros\",t.batchInputShape==null&&t.inputShape==null&&t.inputDim!=null){let e=null;t.batchSize!=null&&(e=t.batchSize),this.batchInputShape=[e,t.inputDim]}this.units=t.units,Ze(this.units,\"units\"),this.activation=Ks(t.activation),t.useBias!=null&&(this.useBias=t.useBias),this.kernelInitializer=de(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.biasInitializer=de(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelConstraint=ze(t.kernelConstraint),this.biasConstraint=ze(t.biasConstraint),this.kernelRegularizer=be(t.kernelRegularizer),this.biasRegularizer=be(t.biasRegularizer),this.activityRegularizer=be(t.activityRegularizer),this.supportsMasking=!0,this.inputSpec=[{minNDim:2}]}build(t){t=Jt(t);let e=t[t.length-1];this.kernel==null&&(this.kernel=this.addWeight(\"kernel\",[e,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:{[-1]:e}}],this.built=!0}computeOutputShape(t){t=Jt(t);let e=t.slice();return e[e.length-1]=this.units,e}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=At(t),o=xy(this.activation.getClassName()),s;return o!=null?s=No(n,this.kernel.read(),o,this.bias?this.bias.read():null):(s=No(n,this.kernel.read()),this.bias!=null&&(s=mn(s,this.bias.read())),this.activation!=null&&(s=this.activation.apply(s))),s})}getConfig(){let t={units:this.units,activation:qs(this.activation),useBias:this.useBias,kernelInitializer:ke(this.kernelInitializer),biasInitializer:ke(this.biasInitializer),kernelRegularizer:me(this.kernelRegularizer),biasRegularizer:me(this.biasRegularizer),activityRegularizer:me(this.activityRegularizer),kernelConstraint:Me(this.kernelConstraint),biasConstraint:Me(this.biasConstraint)},e=super.getConfig();return Object.assign(t,e),t}};cf.className=\"Dense\";Q.registerClass(cf);var pf=class extends Rt{constructor(t){t=t||{},super(t),this.inputSpec=[{minNDim:3}],this.dataFormat=t.dataFormat}computeOutputShape(t){t=Jt(t);for(let e of t.slice(1))if(e==null)throw new z(`The shape of the input to \"Flatten\" is not fully defined (got ${t.slice(1)}). Make sure to pass a complete \"input_shape\" or \"batch_input_shape\" argument to the first layer in your model.`);return[t[0],So(t,1)]}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=At(t);if(this.dataFormat===\"channelsFirst\"&&n.rank>1){let o=[0];for(let s=2;s{this.invokeCallHook(t,e);let n=At(t);return this.activation.apply(n)})}getConfig(){let t={activation:qs(this.activation)},e=super.getConfig();return Object.assign(t,e),t}};mf.className=\"Activation\";Q.registerClass(mf);var ff=class extends Rt{constructor(t){super(t),this.n=t.n,this.inputSpec=[{ndim:2}]}computeOutputShape(t){return[t[0],this.n,t[1]]}call(t,e){return B(()=>(t=At(t),k$(t,this.n)))}getConfig(){let t={n:this.n},e=super.getConfig();return Object.assign(t,e),t}};ff.className=\"RepeatVector\";Q.registerClass(ff);var df=class extends Rt{constructor(t){super(t),this.targetShape=t.targetShape;for(let e=0;e{this.invokeCallHook(t,e);let n=At(t),o=n.shape,s=o.slice(0,1).concat(this.fixUnknownDimension(o.slice(1),this.targetShape));return D(n,s)})}getConfig(){let t={targetShape:this.targetShape},e=super.getConfig();return Object.assign(t,e),t}};df.className=\"Reshape\";Q.registerClass(df);var hf=class extends Rt{constructor(t){if(super(t),t.dims==null)throw new Error(\"Required configuration field `dims` is missing during Permute constructor call.\");if(!Array.isArray(t.dims))throw new Error(`Permute constructor requires \\`dims\\` to be an Array, but received ${t.dims} instead.`);let e=Yr(1,t.dims.length+1);if(!y.arraysEqual(t.dims.slice().sort(),e))throw new Error(\"Invalid permutation `dims`: \"+JSON.stringify(t.dims)+\" `dims` must contain consecutive integers starting from 1.\");this.dims=t.dims,this.dimsIncludingBatch=[0].concat(this.dims),this.inputSpec=[new ye({ndim:this.dims.length+1})]}computeOutputShape(t){t=Jt(t);let e=t.slice();return this.dims.forEach((n,o)=>{e[o+1]=t[n]}),e}call(t,e){return Ot(At(t),this.dimsIncludingBatch)}getConfig(){let t={dims:this.dims},e=super.getConfig();return Object.assign(t,e),t}};hf.className=\"Permute\";Q.registerClass(hf);var gf=class extends Rt{constructor(t){super(t==null?{}:t),this.supportsMasking=!0,t!=null?this.maskValue=t.maskValue==null?0:t.maskValue:this.maskValue=0}computeOutputShape(t){return t}getConfig(){let t=super.getConfig(),e={maskValue:this.maskValue};return Object.assign(e,t),e}computeMask(t,e){let n=At(t),o=-1;return Hu(zs(n,this.maskValue),o)}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=At(t),o=-1,s=!0,i=Hu(zs(n,this.maskValue),o,s);return R(n,J(i,n.dtype))})}};gf.className=\"Masking\";Q.registerClass(gf);var xf=class extends Rt{constructor(t){if(super(t),this.embeddings=null,this.DEFAULT_EMBEDDINGS_INITIALIZER=\"randomUniform\",t.batchInputShape==null&&t.inputShape==null){let e=null;t.batchSize!=null&&(e=t.batchSize),t.inputLength==null?this.batchInputShape=[e,null]:this.batchInputShape=[e].concat(xe(t.inputLength))}this.inputDim=t.inputDim,Ze(this.inputDim,\"inputDim\"),this.outputDim=t.outputDim,Ze(this.outputDim,\"outputDim\"),this.embeddingsInitializer=de(t.embeddingsInitializer||this.DEFAULT_EMBEDDINGS_INITIALIZER),this.embeddingsRegularizer=be(t.embeddingsRegularizer),this.activityRegularizer=be(t.activityRegularizer),this.embeddingsConstraint=ze(t.embeddingsConstraint),this.maskZero=t.maskZero,this.supportsMasking=t.maskZero,this.inputLength=t.inputLength}build(t){this.embeddings=this.addWeight(\"embeddings\",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0}warnOnIncompatibleInputShape(t){}computeMask(t,e){return B(()=>this.maskZero?(t=At(t),zs(t,It(t))):null)}computeOutputShape(t){if(t=Jt(t),this.inputLength==null)return[...t,this.outputDim];let e=xe(this.inputLength);if(e.length!==t.length-1)throw new z(`\"inputLength\" is ${this.inputLength}, but received input shape has shape ${t}`);{let n=0;for(let o=0;o{this.invokeCallHook(t,e);let n=At(t);n.dtype!==\"int32\"&&(n=tl(n,\"int32\"));let o=Sy(this.embeddings.read(),D(n,[n.size]));return D(o,Jt(this.computeOutputShape(n.shape)))})}getConfig(){let t={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:ke(this.embeddingsInitializer),embeddingsRegularizer:me(this.embeddingsRegularizer),activityRegularizer:me(this.activityRegularizer),embeddingsConstraint:Me(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},e=super.getConfig();return Object.assign(t,e),t}};xf.className=\"Embedding\";Q.registerClass(xf);var ul=class extends Rt{constructor(t){super(t||{}),this.supportsMasking=!0}mergeFunction(t){throw new vt}computeElementwiseOpOutputShape(t,e){if(t==null||e==null)return null;if(t.length1)throw new z(`Can not merge tensors with different batch sizes. Got tensors with shapes: ${JSON.stringify(t)}.`);let n=t[0]==null?null:t[0].slice(1);for(let s=1;ss.length);t.indexOf(null)===-1&&vo(o).length===1?this.reshapeRequired=!1:this.reshapeRequired=!0}call(t,e){return B(()=>{if(t=t,this.reshapeRequired){let n=[],o=t.map(s=>s.rank);if(o.indexOf(null)===-1){let s=Us(o);for(let i of t){let a=i.rank;for(let u=0;u1){let c=Yr(1,l).concat([0]);n.push(Ot(u,c)),s=!0}else n.push(u)}let i=this.mergeFunction(n),a=i.rank;if(s){if(a==null){let u=i.shape,l=u.length,c=u[l-1],p=[c].concat(u.slice(0,u.length-1));i=D(Ot(D(i,[-1,c]),[1,0]),p)}else if(a>1){let u=[a-1].concat(Yr(0,a-1));i=Ot(i,u)}}return i}}else return this.mergeFunction(t)})}computeOutputShape(t){t=t;let e;t[0]==null?e=null:e=t[0].slice(1);for(let o=1;o{if(e==null)return null;if(!Array.isArray(e))throw new z(\"`mask` should be an Array\");if(!Array.isArray(t))throw new z(\"`inputs` should be an Array\");if(e.length!==t.length)throw new z(`The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths (${t.length} vs ${e.length})`);if(e.every(o=>o==null))return null;e=e.map(o=>o==null?o:gr(o,0));let n=e[0];for(let o=1;o{let e=t[0].clone();for(let n=1;n{let e=t[0].clone();for(let n=1;n{let e=t[0].clone();for(let n=1;n{let e=t[0];for(let n=1;n{let e=t[0];for(let n=1;n1)throw new z(\"A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: \"+JSON.stringify(t))}mergeFunction(t){return B(()=>Sm(t,this.axis))}computeOutputShape(t){if(!(Array.isArray(t)&&Array.isArray(t[0])))throw new z(\"A `Concatenate` layer should be called on a list of inputs.\");let e=t,n=e[0].slice(),o=this.axis<0?n.length+this.axis:this.axis;for(let s of e.slice(1)){if(n[o]==null||s[o]==null){n[o]=null;break}n[o]+=s[o]}return n}computeMask(t,e){if(e==null)return null;if(!Array.isArray(e))throw new z(\"`mask` should be an array for Concatenate\");if(!Array.isArray(t))throw new z(\"`inputs` should be an array for Concatenate\");if(e.length!==t.length)throw new z(`Mismatch in the length of mask (${e.length}) and the legnth of inputs (${t.length})`);return B(()=>{let n=!0;if(e.forEach(i=>{if(i!=null){n=!1;return}}),n)return null;let o=[];for(let i=0;i3||t.shape.length>3)throw new vt(\"batchDot is not implemented for tensors of 4D or higher rank yet\");if(y.assert(r.shape.length>=2,()=>`batchDot requires the rank of x to be >= 2, but got ${r.shape.length}`),y.assert(r.shape.length>=2,()=>`batchDot requires the rank of y to be >= 2, but got ${t.shape.length}`),typeof e==\"number\"&&(e=[e,e]),r.dtype===\"complex64\"||t.dtype===\"complex64\")throw new vt(\"batchDot is not implemented for complex64-type Tensors yet.\");let n=r.shape.length,o=t.shape.length;e==null&&(e=[n-1,o-2]);let s=e;return B(()=>{let i;if(n>o){i=n-o;let u=[];for(let l=0;ln){i=o-n;let u=[];for(let l=0;l0){let u;n>o?u=n+o-3:u=n-1;let l=[];for(let c=u;c\"A `Dot` layer should be called on a list of exactly 2 inputs.\");let e=t[0],n=t[1];if(e.length>3||n.length>3)throw new vt(\"Dot layer does not support tensors of 4D or higher rank yet.\");let o=this.interpretAxes(e,n);if(e[o[0]]!==n[o[1]])throw new z(`Dimension incompatibility: ${e[o[0]]} !== ${n[o[1]]}`)}mergeFunction(t){if(t.length!==2)throw new z(`A \\`Dot\\` layer must be called on exactly 2 inputs, but received ${t.length} input(s).`);let e=t[0],n=t[1],o;return Array.isArray(this.axes)?o=this.axes.map((s,i)=>kh(s,t[i].shape.length)):o=[kh(this.axes,e.shape.length),kh(this.axes,n.shape.length)],this.normalize&&(e=yh(e,o[0]),n=yh(n,o[1])),G8(e,n,o)}interpretAxes(t,e){let n;return Array.isArray(this.axes)?n=this.axes:n=[kh(this.axes,t.length),kh(this.axes,e.length)],n}computeOutputShape(t){y.assert(Array.isArray(t)&&t.length===2&&Array.isArray(t[0])&&Array.isArray(t[1]),()=>\"A `Dot` layer should be called on a list of exactly 2 inputs.\");let e=t[0].slice(),n=t[1].slice();if(e.length>3||n.length>3)throw new vt(\"Dot layer does not support tensors of 4D or higher rank yet.\");let o=this.interpretAxes(e,n);e.splice(o[0],1),n.splice(o[1],1),n.splice(0,1);let s=e.concat(n);return s.length===1&&s.push(1),s}computeMask(t,e){return null}getConfig(){let t={axes:this.axes,normalize:this.normalize},e=super.getConfig();return Object.assign(t,e),t}};Sf.className=\"Dot\";Q.registerClass(Sf);var Nf=class extends Rt{constructor(t){super(t),this.supportsMasking=!0,this.stddev=t.stddev}computeOutputShape(t){return t}getConfig(){let t=super.getConfig(),e={stddev:this.stddev};return Object.assign(e,t),e}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=At(t);return gu(()=>X(Nm(n.shape,0,this.stddev),n),()=>n,e.training||!1)})}};Nf.className=\"GaussianNoise\";Q.registerClass(Nf);var kf=class extends Rt{constructor(t){super(t),this.supportsMasking=!0,this.rate=t.rate}computeOutputShape(t){return t}getConfig(){let t=super.getConfig(),e={rate:this.rate};return Object.assign(e,t),e}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=At(t);return this.rate>0&&this.rate<1?gu(()=>{let s=Math.sqrt(this.rate/(1-this.rate));return R(n,Nm(n.shape,1,s))},()=>n,e.training||!1):n})}};kf.className=\"GaussianDropout\";Q.registerClass(kf);var Tf=class extends Rt{constructor(t){super(t),this.supportsMasking=!0,this.rate=t.rate,this.noiseShape=t.noiseShape}_getNoiseShape(t){return this.noiseShape||At(t).shape}computeOutputShape(t){return t}getConfig(){let t=super.getConfig(),e={rate:this.rate};return Object.assign(e,t),e}call(t,e){return B(()=>{if(this.rate<1&&this.rate>0){let n=this._getNoiseShape(t);return gu(()=>{let s=At(t),i=1.6732632423543772,a=1.0507009873554805,u=-i*a,l=Fn(Li(n),this.rate);l=tl(l,\"float32\");let c=((1-this.rate)*(1+this.rate*u**2))**-.5,p=-c*u*this.rate,m=X(R(s,l),R(X(l,-1),u));return X(R(m,c),p)},()=>At(t),e.training||!1)}return t})}};Tf.className=\"AlphaDropout\";Q.registerClass(Tf);function Th(r,t,e,n,o,s=.001){let i;if(r.rank===2)i=mx(r,t,e,n,o,s);else if(r.rank===3)i=fx(r,t,e,n,o,s);else if(r.rank===4)i=dx(r,t,e,n,o,s);else throw new vt(`batchNormalization is not implemented for array of rank ${r.rank} yet`);return i}function W8(r,t,e,n,o=.001){return B(()=>{let s=Zu(r,n),i=s.mean,a=s.variance;return[Th(r,i,a,e,t,o),i,a]})}function U8(r,t,e,n,o=.001){return B(()=>{let s=Zu(r,n),i=s.mean,a=s.variance,u=[];for(let d of Yr(0,r.rank))n.indexOf(d)!==-1?u.push(1):u.push(r.shape[d]);let l=D(i,u),c=D(a,u),p=t==null?null:D(t,u),m=e==null?null:D(e,u);return[Th(r,l,c,m,p,o),i,a]})}function H8(r,t,e,n,o=.001){return y.arraysEqual(n.slice().sort(),Yr(0,r.rank-1))?W8(r,t,e,n,o):U8(r,t,e,n,o)}var Ef=class extends Rt{constructor(t){t==null&&(t={}),super(t),this.supportsMasking=!0,this.axis=t.axis==null?-1:t.axis,this.momentum=t.momentum==null?.99:t.momentum,this.epsilon=t.epsilon==null?.001:t.epsilon,this.center=t.center==null?!0:t.center,this.scale=t.scale==null?!0:t.scale,this.betaInitializer=de(t.betaInitializer||\"zeros\"),this.gammaInitializer=de(t.gammaInitializer||\"ones\"),this.movingMeanInitializer=de(t.movingMeanInitializer||\"zeros\"),this.movingVarianceInitializer=de(t.movingVarianceInitializer||\"ones\"),this.betaConstraint=ze(t.betaConstraint),this.gammaConstraint=ze(t.gammaConstraint),this.betaRegularizer=be(t.betaRegularizer),this.gammaRegularizer=be(t.gammaRegularizer)}build(t){t=Jt(t);let e=this.axis>=0?this.axis:this.axis+t.length,n=t[e];if(n==null)throw new z(`Axis ${e} of input tensor should have a defined dimension but the layer received an input with shape ${JSON.stringify(t)}.`);this.inputSpec=[new ye({ndim:t.length,axes:{[e]:n}})];let o=[n];this.scale&&(this.gamma=this.addWeight(\"gamma\",o,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight(\"beta\",o,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight(\"moving_mean\",o,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight(\"moving_variance\",o,null,this.movingVarianceInitializer,null,!1),this.built=!0}call(t,e){return B(()=>{let n=e.training==null?!1:e.training,o=At(t),s=o.shape,i=s.length,a=Yr(0,i),u=this.axis>=0?this.axis:this.axis+i;a.splice(u,1);let l=Co(1,i);l[u]=s[u];let c=a.slice();c.sort();let p=!y.arraysEqual(c,Yr(0,i).slice(0,i-1)),m=()=>{if(p){let b=D(this.movingMean.read(),l),w=D(this.movingVariance.read(),l),C=this.center?D(this.beta.read(),l):null,N=this.scale?D(this.gamma.read(),l):null;return Th(o,b,w,C,N,this.epsilon)}else return Th(o,this.movingMean.read(),this.movingVariance.read(),this.beta==null?null:this.beta.read(),this.gamma==null?null:this.gamma.read(),this.epsilon)};if(!n)return m();let[f,d,h]=H8(o,this.gamma.read(),this.beta.read(),a,this.epsilon),g=(b,w,C)=>{B(()=>{let N=1-C,_=b.read(),A=R(ct(_,w),N);b.write(ct(_,A))})};return(()=>{g(this.movingMean,d,this.momentum),g(this.movingVariance,h,this.momentum)})(),f})}getConfig(){let t={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:ke(this.betaInitializer),gammaInitializer:ke(this.gammaInitializer),movingMeanInitializer:ke(this.movingMeanInitializer),movingVarianceInitializer:ke(this.movingVarianceInitializer),betaRegularizer:me(this.betaRegularizer),gammaRegularizer:me(this.gammaRegularizer),betaConstraint:Me(this.betaConstraint),gammaConstraint:Me(this.gammaConstraint)},e=super.getConfig();return Object.assign(t,e),t}};Ef.className=\"BatchNormalization\";Q.registerClass(Ef);var _f=class extends Rt{constructor(t){if(t==null&&(t={}),super(t),this.axis=t.axis==null?-1:t.axis,typeof this.axis==\"number\"){if(!Number.isInteger(this.axis))throw new Error(`Expected axis to be an integer, but received ${this.axis}`)}else if(Array.isArray(this.axis)){for(let e of this.axis)if(!Number.isInteger(e))throw new Error(`Expected axis to be an array of integers, but received ${JSON.stringify(this.axis)}`)}else throw new Error(`Expected axis to be an integer or an array of integers, but received ${JSON.stringify(this.axis)}`);this.epsilon=t.epsilon==null?.001:t.epsilon,this.center=t.center==null?!0:t.center,this.scale=t.scale==null?!0:t.scale,this.betaInitializer=de(t.betaInitializer||\"zeros\"),this.gammaInitializer=de(t.gammaInitializer||\"ones\"),this.betaRegularizer=be(t.betaRegularizer),this.gammaRegularizer=be(t.gammaRegularizer),this.supportsMasking=!0}build(t){t=Jt(t);let e=t.length;typeof this.axis==\"number\"&&(this.axis=[this.axis]);for(let s=0;s=e)throw new Error(`Invalid axis: ${s}`);if(this.axis.length!==vo(this.axis).length)throw new Error(`Found duplicate axes in: ${this.axis}`);let n=this.axis.map(s=>t[s]),o=!0;this.scale?this.gamma=this.addWeight(\"gamma\",n,\"float32\",this.gammaInitializer,this.gammaRegularizer,o):this.gamma=null,this.center?this.beta=this.addWeight(\"beta\",n,\"float32\",this.betaInitializer,this.betaRegularizer,o):this.beta=null,this.built=!0}call(t,e){let n=At(t),o=n.shape,s=o.length;return B(()=>{let{mean:a,variance:u}=Zu(n,this.axis,!0),l=Co(1,s);for(let h of this.axis)l[h]=o[h];let c=h=>h!=null&&h.shape.length!==s?D(h,l):h,p=this.scale?c(this.gamma.read()):null,m=this.center?c(this.beta.read()):null,f=[],d=[];for(let h=0;h{if(r.rank!==4)throw new z(`temporalPadding expects input tensor to be 4-D, but received a ${r.rank}-D tensor.`);if(t==null&&(t=[[1,1],[1,1]]),t.length!==2||t[0].length!==2||t[1].length!==2)throw new z(\"spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.\");if(e==null&&(e=pn()),e!==\"channelsLast\"&&e!==\"channelsFirst\")throw new z(`Unknown data format: ${e}. Supported data formats are 'channelsLast' and 'channelsFirst.`);let n;return e===\"channelsFirst\"?n=[[0,0],[0,0],t[0],t[1]]:n=[[0,0],t[0],t[1],[0,0]],un(r,n)})}var Af=class extends Rt{constructor(t){if(t==null&&(t={}),super(t),this.dataFormat=t.dataFormat==null?pn():t.dataFormat,t.padding==null)this.padding=[[1,1],[1,1]];else if(typeof t.padding==\"number\")this.padding=[[t.padding,t.padding],[t.padding,t.padding]];else{if(t.padding=t.padding,t.padding.length!==2)throw new z(`ZeroPadding2D expects padding to be a length-2 array, but received a length-${t.padding.length} array.`);let e,n;if(typeof t.padding[0]==\"number\")e=[t.padding[0],t.padding[0]],n=[t.padding[1],t.padding[1]];else{if(t.padding=t.padding,t.padding[0].length!==2)throw new z(`ZeroPadding2D expects height padding to be a length-2 array, but received a length-${t.padding[0].length} array.`);if(e=t.padding[0],t.padding[1].length!==2)throw new z(`ZeroPadding2D expects width padding to be a length-2 array, but received a length-${t.padding[1].length} array.`);n=t.padding[1]}this.padding=[e,n]}this.inputSpec=[new ye({ndim:4})]}computeOutputShape(t){t=Jt(t);let e,n;return this.dataFormat===\"channelsFirst\"?(t[2]!=null&&t[2]>=0?e=t[2]+this.padding[0][0]+this.padding[0][1]:e=null,t[3]!=null&&t[3]>=0?n=t[3]+this.padding[1][0]+this.padding[1][1]:n=null,[t[0],t[1],e,n]):(t[1]!=null&&t[1]>=0?e=t[1]+this.padding[0][0]+this.padding[0][1]:e=null,t[2]!=null&&t[2]>=0?n=t[2]+this.padding[1][0]+this.padding[1][1]:n=null,[t[0],e,n,t[3]])}call(t,e){return B(()=>q8(At(t),this.padding,this.dataFormat))}getConfig(){let t={padding:this.padding,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}};Af.className=\"ZeroPadding2D\";Q.registerClass(Af);function hb(r,t,e,n,o,s){return B(()=>{Re(o),x0(s),cn(n),e==null&&(e=[1,1]),n==null&&(n=\"valid\"),o==null&&(o=pn()),s==null&&(s=\"max\"),r=Nh(r,o);let i,a=n===\"same\"?\"same\":\"valid\";return s===\"max\"?i=tu(r,t,e,a):i=jl(r,t,e,a),o===\"channelsFirst\"&&(i=Ot(i,[0,3,1,2])),i})}function gD(r,t,e,n,o,s){return B(()=>{Re(o),x0(s),cn(n),e==null&&(e=[1,1,1]),n==null&&(n=\"valid\"),o==null&&(o=pn()),s==null&&(s=\"max\"),r=F0(r,o);let i,a=n===\"same\"?\"same\":\"valid\";return s===\"max\"?i=Bx(r,t,e,a):i=px(r,t,e,a),o===\"channelsFirst\"&&(i=Ot(i,[0,4,1,2,3])),i})}var cb=class extends Rt{constructor(t){if(t.poolSize==null&&(t.poolSize=2),super(t),typeof t.poolSize==\"number\")this.poolSize=[t.poolSize];else if(Array.isArray(t.poolSize)&&t.poolSize.length===1&&typeof t.poolSize[0]==\"number\")this.poolSize=t.poolSize;else throw new z(`poolSize for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(t.poolSize)}`);if(Ze(this.poolSize,\"poolSize\"),t.strides==null)this.strides=this.poolSize;else if(typeof t.strides==\"number\")this.strides=[t.strides];else if(Array.isArray(t.strides)&&t.strides.length===1&&typeof t.strides[0]==\"number\")this.strides=t.strides;else throw new z(`strides for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(t.strides)}`);Ze(this.strides,\"strides\"),this.padding=t.padding==null?\"valid\":t.padding,cn(this.padding),this.inputSpec=[new ye({ndim:3})]}computeOutputShape(t){t=Jt(t);let e=Sn(t[1],this.poolSize[0],this.padding,this.strides[0]);return[t[0],e,t[2]]}call(t,e){return B(()=>{this.invokeCallHook(t,e),t=el(At(t),2);let n=this.poolingFunction(At(t),[this.poolSize[0],1],[this.strides[0],1],this.padding,\"channelsLast\");return Pn(n,[2])})}getConfig(){let t={poolSize:this.poolSize,padding:this.padding,strides:this.strides},e=super.getConfig();return Object.assign(t,e),t}},$f=class extends cb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Re(s),cn(o),hb(t,e,n,o,s,\"max\")}};$f.className=\"MaxPooling1D\";Q.registerClass($f);var Df=class extends cb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Re(s),cn(o),hb(t,e,n,o,s,\"avg\")}};Df.className=\"AveragePooling1D\";Q.registerClass(Df);var pb=class extends Rt{constructor(t){if(t.poolSize==null&&(t.poolSize=[2,2]),super(t),this.poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize],t.strides==null)this.strides=this.poolSize;else if(Array.isArray(t.strides)){if(t.strides.length!==2)throw new z(`If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length ${t.strides.length}.`);this.strides=t.strides}else this.strides=[t.strides,t.strides];Ze(this.poolSize,\"poolSize\"),Ze(this.strides,\"strides\"),this.padding=t.padding==null?\"valid\":t.padding,this.dataFormat=t.dataFormat==null?\"channelsLast\":t.dataFormat,Re(this.dataFormat),cn(this.padding),this.inputSpec=[new ye({ndim:4})]}computeOutputShape(t){t=Jt(t);let e=this.dataFormat===\"channelsFirst\"?t[2]:t[1],n=this.dataFormat===\"channelsFirst\"?t[3]:t[2];return e=Sn(e,this.poolSize[0],this.padding,this.strides[0]),n=Sn(n,this.poolSize[1],this.padding,this.strides[1]),this.dataFormat===\"channelsFirst\"?[t[0],t[1],e,n]:[t[0],e,n,t[3]]}call(t,e){return B(()=>(this.invokeCallHook(t,e),this.poolingFunction(At(t),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}},Rf=class extends pb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Re(s),cn(o),hb(t,e,n,o,s,\"max\")}};Rf.className=\"MaxPooling2D\";Q.registerClass(Rf);var Ff=class extends pb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Re(s),cn(o),hb(t,e,n,o,s,\"avg\")}};Ff.className=\"AveragePooling2D\";Q.registerClass(Ff);var mb=class extends Rt{constructor(t){if(t.poolSize==null&&(t.poolSize=[2,2,2]),super(t),this.poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize,t.poolSize],t.strides==null)this.strides=this.poolSize;else if(Array.isArray(t.strides)){if(t.strides.length!==3)throw new z(`If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length ${t.strides.length}.`);this.strides=t.strides}else this.strides=[t.strides,t.strides,t.strides];Ze(this.poolSize,\"poolSize\"),Ze(this.strides,\"strides\"),this.padding=t.padding==null?\"valid\":t.padding,this.dataFormat=t.dataFormat==null?\"channelsLast\":t.dataFormat,Re(this.dataFormat),cn(this.padding),this.inputSpec=[new ye({ndim:5})]}computeOutputShape(t){t=Jt(t);let e=this.dataFormat===\"channelsFirst\"?t[2]:t[1],n=this.dataFormat===\"channelsFirst\"?t[3]:t[2],o=this.dataFormat===\"channelsFirst\"?t[4]:t[3];return e=Sn(e,this.poolSize[0],this.padding,this.strides[0]),n=Sn(n,this.poolSize[1],this.padding,this.strides[1]),o=Sn(o,this.poolSize[2],this.padding,this.strides[2]),this.dataFormat===\"channelsFirst\"?[t[0],t[1],e,n,o]:[t[0],e,n,o,t[4]]}call(t,e){return B(()=>(this.invokeCallHook(t,e),this.poolingFunction(At(t),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}},Of=class extends mb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Re(s),cn(o),gD(t,e,n,o,s,\"max\")}};Of.className=\"MaxPooling3D\";Q.registerClass(Of);var Pf=class extends mb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Re(s),cn(o),gD(t,e,n,o,s,\"avg\")}};Pf.className=\"AveragePooling3D\";Q.registerClass(Pf);var fb=class extends Rt{constructor(t){super(t),this.inputSpec=[new ye({ndim:3})]}computeOutputShape(t){return[t[0],t[2]]}call(t,e){throw new vt}},Lf=class extends fb{constructor(t){super(t||{})}call(t,e){return B(()=>{let n=At(t);return Se(n,1)})}};Lf.className=\"GlobalAveragePooling1D\";Q.registerClass(Lf);var Mf=class extends fb{constructor(t){super(t||{})}call(t,e){return B(()=>{let n=At(t);return Br(n,1)})}};Mf.className=\"GlobalMaxPooling1D\";Q.registerClass(Mf);var db=class extends Rt{constructor(t){super(t),this.dataFormat=t.dataFormat==null?\"channelsLast\":t.dataFormat,Re(this.dataFormat),this.inputSpec=[new ye({ndim:4})]}computeOutputShape(t){return t=t,this.dataFormat===\"channelsLast\"?[t[0],t[3]]:[t[0],t[1]]}call(t,e){throw new vt}getConfig(){let t={dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}},zf=class extends db{call(t,e){return B(()=>{let n=At(t);return this.dataFormat===\"channelsLast\"?Se(n,[1,2]):Se(n,[2,3])})}};zf.className=\"GlobalAveragePooling2D\";Q.registerClass(zf);var Bf=class extends db{call(t,e){return B(()=>{let n=At(t);return this.dataFormat===\"channelsLast\"?Br(n,[1,2]):Br(n,[2,3])})}};Bf.className=\"GlobalMaxPooling2D\";Q.registerClass(Bf);var gb=class extends Rt{constructor(t){super(t),this.layer=t.layer}build(t){this.built=!0}get trainable(){return this.layer!=null?this.layer.trainable:!1}set trainable(t){this.layer!=null&&(this.layer.trainable=t)}get trainableWeights(){return this.layer.trainableWeights}get nonTrainableWeights(){return this.layer.nonTrainableWeights}get updates(){return this.layer._updates}get losses(){return this.layer.losses}getWeights(){return this.layer.getWeights()}setWeights(t){this.layer.setWeights(t)}getConfig(){let t={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},e=super.getConfig();return Object.assign(t,e),t}setFastWeightInitDuringBuild(t){super.setFastWeightInitDuringBuild(t),this.layer!=null&&this.layer.setFastWeightInitDuringBuild(t)}static fromConfig(t,e,n={}){let o=e.layer,s=hn(o,n);delete e.layer;let i={layer:s};return Object.assign(i,e),new t(i)}},Vf=class extends gb{constructor(t){super(t),this.supportsMasking=!0}build(t){if(t=Jt(t),t.length<3)throw new z(`TimeDistributed layer expects an input shape >= 3D, but received input shape ${JSON.stringify(t)}`);this.inputSpec=[{shape:t}];let e=[t[0]].concat(t.slice(2));this.layer.built||(this.layer.build(e),this.layer.built=!0),super.build(t)}computeOutputShape(t){t=Jt(t);let e=[t[0]].concat(t.slice(2)),n=this.layer.computeOutputShape(e),o=t[1];return[n[0],o].concat(n.slice(1))}call(t,e){return B(()=>(t=At(t),P0((i,a)=>[At(this.layer.call(i,e)),[]],t,[],!1,null,null,!1,!0)[1]))}};Vf.className=\"TimeDistributed\";Q.registerClass(Vf);function K8(r){Vi(C$,\"BidirectionalMergeMode\",r)}var j8=\"concat\",Gf=class extends gb{constructor(t){super(t);let e=t.layer.getConfig(),n={};n.className=t.layer.getClassName(),n.config=e,this.forwardLayer=hn(n),e.goBackwards=e.goBackwards!==!0;let o={};if(o.className=t.layer.getClassName(),o.config=e,this.backwardLayer=hn(o),this.forwardLayer.name=\"forward_\"+this.forwardLayer.name,this.backwardLayer.name=\"backward_\"+this.backwardLayer.name,this.mergeMode=t.mergeMode===void 0?j8:t.mergeMode,K8(this.mergeMode),t.weights)throw new vt(\"weights support is not implemented for Bidirectional layer yet.\");this._stateful=t.layer.stateful,this.returnSequences=t.layer.returnSequences,this.returnState=t.layer.returnState,this.supportsMasking=!0,this._trainable=!0,this.inputSpec=t.layer.inputSpec,this.numConstants=null}get trainable(){return this._trainable}set trainable(t){this._trainable=t,this.forwardLayer!=null&&(this.forwardLayer.trainable=t),this.backwardLayer!=null&&(this.backwardLayer.trainable=t)}getWeights(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())}setWeights(t){let e=t.length,n=Math.floor(e/2);this.forwardLayer.setWeights(t.slice(0,n)),this.backwardLayer.setWeights(t.slice(n))}computeOutputShape(t){let e=this.forwardLayer.computeOutputShape(t);Array.isArray(e)&&Array.isArray(e[0])||(e=[e]),e=e;let n,o,s;return this.returnState&&(s=e.slice(1)),n=e[0],n=n,this.mergeMode===\"concat\"?(n[n.length-1]*=2,o=[n]):this.mergeMode==null?o=[n,n.slice()]:o=[n],this.returnState?this.mergeMode==null?o.concat(s).concat(s.slice()):[n].concat(s).concat(s.slice()):Sr(o)}apply(t,e){let n=e==null?null:e.initialState,o=e==null?null:e.constants;e==null&&(e={});let s=O0(t,n,o,this.numConstants);if(t=s.inputs,n=s.initialState,o=s.constants,Array.isArray(t)&&(n=t.slice(1),t=t[0]),(n==null||n.length===0)&&o==null)return super.apply(t,e);let i=[],a=[];if(n!=null){let l=n.length;if(l%2>0)throw new z(\"When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.\");e.initialState=n,i.push(...n);let c=n.map(p=>new ye({shape:p.shape}));this.forwardLayer.stateSpec=c.slice(0,l/2),this.backwardLayer.stateSpec=c.slice(l/2),a.push(...c)}if(o!=null)throw new vt(\"Support for constants in Bidirectional layers is not implemented yet.\");let u=i[0]instanceof Jr;for(let l of i)if(l instanceof Jr!==u)throw new z(\"The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors\");if(u){let l=[t].concat(i),c=this.inputSpec.concat(a),p=this.inputSpec;this.inputSpec=c;let m=super.apply(l,e);return this.inputSpec=p,m}else return super.apply(t,e)}call(t,e){return B(()=>{let n=e.initialState,o,s;if(n==null)o=this.forwardLayer.call(t,e),s=this.backwardLayer.call(t,e);else{let u=n.slice(0,n.length/2),l=n.slice(n.length/2);o=this.forwardLayer.call(t,Object.assign(e,{initialState:u})),s=this.backwardLayer.call(t,Object.assign(e,{initialState:l}))}let i;this.returnState&&(Array.isArray(o)&&(i=o.slice(1).concat(s.slice(1))),o=o[0],s=s[0]),this.returnSequences&&(s=ur(s,1));let a;return this.mergeMode===\"concat\"?a=Sm([o,s]):this.mergeMode===\"sum\"?a=X(o,s):this.mergeMode===\"ave\"?a=R(.5,X(o,s)):this.mergeMode===\"mul\"?a=R(o,s):this.mergeMode==null&&(a=[o,s]),this.returnState?this.mergeMode==null?a.concat(i):[a].concat(i):a})}resetStates(t){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()}build(t){Ws(this.forwardLayer.name,()=>{this.forwardLayer.build(t)}),Ws(this.backwardLayer.name,()=>{this.backwardLayer.build(t)}),this.built=!0}computeMask(t,e){Array.isArray(e)&&(e=e[0]);let n;if(this.returnSequences?this.mergeMode==null?n=[e,e]:n=e:this.mergeMode==null?n=[null,null]:n=null,this.returnState){let s=this.forwardLayer.states.map(i=>null);return Array.isArray(n)?n.concat(s).concat(s):[n].concat(s).concat(s)}else return n}get trainableWeights(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)}get nonTrainableWeights(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)}setFastWeightInitDuringBuild(t){super.setFastWeightInitDuringBuild(t),this.forwardLayer!=null&&this.forwardLayer.setFastWeightInitDuringBuild(t),this.backwardLayer!=null&&this.backwardLayer.setFastWeightInitDuringBuild(t)}getConfig(){let t={mergeMode:this.mergeMode},e=super.getConfig();return Object.assign(t,e),t}static fromConfig(t,e){let n=hn(e.layer);if(delete e.layer,e.numConstants!=null)throw new vt(\"Deserialization of a Bidirectional layer with numConstants present is not supported yet.\");let o=e;return o.layer=n,new t(o)}};Gf.className=\"Bidirectional\";Q.registerClass(Gf);var Wf=class extends Rt{constructor(t){super(t),this.scale=t.scale,t.offset?this.offset=t.offset:this.offset=0}getConfig(){let t={scale:this.scale,offset:this.offset},e=super.getConfig();return Object.assign(t,e),t}call(t,e){return B(()=>(t=At(t),t.dtype!==\"float32\"&&(t=tl(t,\"float32\")),X(R(t,this.scale),this.offset)))}};Wf.className=\"Rescaling\";Q.registerClass(Wf);function X8(r){return new Hs(r)}function Y8(r){return new Xm(r)}function Z8(r){return new qm(r)}function J8(r){return new Km(r)}function Q8(r){return new jm(r)}function tY(r){return new Zm(r)}function eY(r){return new Ym(r)}function rY(r){return new Iu(r)}function nY(r){return new ol(r)}function oY(r){return new Jm(r)}function sY(r){return new sl(r)}function iY(r){return new Qm(r)}function aY(r){return new tf(r)}function lY(r){return new ef(r)}function uY(r){return new rf(r)}function cY(r){return new nf(r)}function pY(r){return new mf(r)}function mY(r){return new cf(r)}function fY(r){return new Sc(r)}function dY(r){return new uf(r)}function hY(r){return new pf(r)}function gY(r){return new ff(r)}function xY(r){return new df(r)}function yY(r){return new hf(r)}function bY(r){return new xf(r)}function wY(r){return new yf(r)}function CY(r){return new wf(r)}function IY(r){return new vf(r)}function vY(r){return new Cf(r)}function SY(r){return new If(r)}function NY(r){return new bf(r)}function kY(r){return new Sf(r)}function TY(r){return new Ef(r)}function EY(r){return new _f(r)}function _Y(r){return new Af(r)}function L0(r){return new Df(r)}function AY(r){return L0(r)}function $Y(r){return L0(r)}function M0(r){return new Ff(r)}function DY(r){return M0(r)}function RY(r){return M0(r)}function z0(r){return new Pf(r)}function FY(r){return z0(r)}function OY(r){return z0(r)}function PY(r){return new Lf(r)}function LY(r){return new zf(r)}function xD(r){return new Mf(r)}function yD(r){return new Bf(r)}function bD(r){return new $f(r)}function wD(r){return new Rf(r)}function MY(r){return new Of(r)}function zY(r){return new sf(r)}function BY(r){return new Cc(r)}function VY(r){return new af(r)}function GY(r){return new al(r)}function WY(r){return new of(r)}function UY(r){return new wc(r)}function HY(r){return new lf(r)}function qY(r){return new vc(r)}function KY(r){return new Nn(r)}function jY(r){return new Ic(r)}function XY(r){return new Gf(r)}function YY(r){return new Vf(r)}var ZY=xD,JY=yD,QY=bD,tZ=wD;function eZ(r){return new Nf(r)}function rZ(r){return new kf(r)}function nZ(r){return new Tf(r)}function oZ(r){return new gf(r)}function sZ(r){return new Wf(r)}var ID={};Gt(ID,{MAPE:()=>gZ,MSE:()=>bZ,binaryAccuracy:()=>iZ,binaryCrossentropy:()=>aZ,categoricalAccuracy:()=>uZ,categoricalCrossentropy:()=>cZ,cosineProximity:()=>fZ,mape:()=>xZ,meanAbsoluteError:()=>dZ,meanAbsolutePercentageError:()=>hZ,meanSquaredError:()=>yZ,mse:()=>wZ,precision:()=>pZ,recall:()=>mZ,sparseCategoricalAccuracy:()=>lZ});function iZ(r,t){return Ch(r,t)}function aZ(r,t){return My(r,t)}function lZ(r,t){return zy(r,t)}function uZ(r,t){return Ih(r,t)}function cZ(r,t){return vh(r,t)}function pZ(r,t){return N0(r,t)}function mZ(r,t){return K$(r,t)}function fZ(r,t){return wh(r,t)}function dZ(r,t){return Bm(r,t)}function hZ(r,t){return yu(r,t)}function gZ(r,t){return yu(r,t)}function xZ(r,t){return yu(r,t)}function yZ(r,t){return Wi(r,t)}function bZ(r,t){return Wi(r,t)}function wZ(r,t){return Wi(r,t)}var vD={};Gt(vD,{modelFromJSON:()=>uD});var SD={};Gt(SD,{l1:()=>IZ,l1l2:()=>CZ,l2:()=>vZ});function CZ(r){return new bu(r)}function IZ(r){return fD(r)}function vZ(r){return dD(r)}var yb=class extends nl{constructor(){super(...arguments),this.model=null}setModel(t){if(!(t instanceof Mn))throw new Error(\"model must be a LayersModel, not some other Container\");this.model=t}};function xb(r,t){return rt}var bb=class extends yb{constructor(t){if(super(),t==null&&(t={}),t.restoreBestWeights)throw new vt(\"restoreBestWeights = True is not implemented in EarlyStopping yet.\");this.monitor=t.monitor||\"val_loss\",this.minDelta=Math.abs(t.minDelta||0),this.patience=t.patience||0,this.verbose=t.verbose||0,this.mode=t.mode||\"auto\",this.baseline=t.baseline,[\"auto\",\"min\",\"max\"].indexOf(this.mode)===-1&&(console.warn(`EarlyStopping mode '${this.mode}' is invalid. Falling back to mode 'auto'.`),this.mode=\"auto\"),this.mode===\"min\"?this.monitorFunc=xb:this.mode===\"max\"?this.monitorFunc=ND:this.monitor.indexOf(\"acc\")!==-1?this.monitorFunc=ND:this.monitorFunc=xb,this.monitorFunc===xb&&(this.minDelta*=-1)}async onTrainBegin(t){this.wait=0,this.stoppedEpoch=0,this.baseline!=null?this.best=this.baseline:this.best=this.monitorFunc===xb?1/0:-1/0}async onEpochEnd(t,e){await Gi(e);let n=this.getMonitorValue(e);n!=null&&(this.monitorFunc(n-this.minDelta,this.best)?(this.best=n,this.wait=0):(this.wait++,this.wait>=this.patience&&(this.stoppedEpoch=t,this.model.stopTraining=!0)))}async onTrainEnd(t){this.stoppedEpoch>0&&this.verbose&&console.log(`Epoch ${this.stoppedEpoch}: early stopping.`)}getMonitorValue(t){t==null&&(t={});let e=t[this.monitor];return e==null&&console.warn(`Metric for EarlyStopping ${this.monitor} is not available. Available metrics are: ${Object.keys(t)}`),e}};function SZ(r){return new bb(r)}var NZ={earlyStopping:SZ};var kZ=M();kZ.registerFlag(\"KEEP_INTERMEDIATE_TENSORS\",()=>!1,r=>{r&&console.warn(\"Keep intermediate tensors is ON. This will print the values of all intermediate tensors during model inference. Not all models support this mode. For details, check e2e/benchmarks/ model_config.js. This significantly impacts performance.\")});var ro;(function(r){r[r.DT_INVALID=0]=\"DT_INVALID\",r[r.DT_FLOAT=1]=\"DT_FLOAT\",r[r.DT_DOUBLE=2]=\"DT_DOUBLE\",r[r.DT_INT32=3]=\"DT_INT32\",r[r.DT_UINT8=4]=\"DT_UINT8\",r[r.DT_INT16=5]=\"DT_INT16\",r[r.DT_INT8=6]=\"DT_INT8\",r[r.DT_STRING=7]=\"DT_STRING\",r[r.DT_COMPLEX64=8]=\"DT_COMPLEX64\",r[r.DT_INT64=9]=\"DT_INT64\",r[r.DT_BOOL=10]=\"DT_BOOL\",r[r.DT_QINT8=11]=\"DT_QINT8\",r[r.DT_QUINT8=12]=\"DT_QUINT8\",r[r.DT_QINT32=13]=\"DT_QINT32\",r[r.DT_BFLOAT16=14]=\"DT_BFLOAT16\",r[r.DT_QINT16=15]=\"DT_QINT16\",r[r.DT_QUINT16=16]=\"DT_QUINT16\",r[r.DT_UINT16=17]=\"DT_UINT16\",r[r.DT_COMPLEX128=18]=\"DT_COMPLEX128\",r[r.DT_HALF=19]=\"DT_HALF\",r[r.DT_RESOURCE=20]=\"DT_RESOURCE\",r[r.DT_VARIANT=21]=\"DT_VARIANT\",r[r.DT_UINT32=22]=\"DT_UINT32\",r[r.DT_UINT64=23]=\"DT_UINT64\",r[r.DT_FLOAT_REF=101]=\"DT_FLOAT_REF\",r[r.DT_DOUBLE_REF=102]=\"DT_DOUBLE_REF\",r[r.DT_INT32_REF=103]=\"DT_INT32_REF\",r[r.DT_UINT8_REF=104]=\"DT_UINT8_REF\",r[r.DT_INT16_REF=105]=\"DT_INT16_REF\",r[r.DT_INT8_REF=106]=\"DT_INT8_REF\",r[r.DT_STRING_REF=107]=\"DT_STRING_REF\",r[r.DT_COMPLEX64_REF=108]=\"DT_COMPLEX64_REF\",r[r.DT_INT64_REF=109]=\"DT_INT64_REF\",r[r.DT_BOOL_REF=110]=\"DT_BOOL_REF\",r[r.DT_QINT8_REF=111]=\"DT_QINT8_REF\",r[r.DT_QUINT8_REF=112]=\"DT_QUINT8_REF\",r[r.DT_QINT32_REF=113]=\"DT_QINT32_REF\",r[r.DT_BFLOAT16_REF=114]=\"DT_BFLOAT16_REF\",r[r.DT_QINT16_REF=115]=\"DT_QINT16_REF\",r[r.DT_QUINT16_REF=116]=\"DT_QUINT16_REF\",r[r.DT_UINT16_REF=117]=\"DT_UINT16_REF\",r[r.DT_COMPLEX128_REF=118]=\"DT_COMPLEX128_REF\",r[r.DT_HALF_REF=119]=\"DT_HALF_REF\",r[r.DT_RESOURCE_REF=120]=\"DT_RESOURCE_REF\",r[r.DT_VARIANT_REF=121]=\"DT_VARIANT_REF\",r[r.DT_UINT32_REF=122]=\"DT_UINT32_REF\",r[r.DT_UINT64_REF=123]=\"DT_UINT64_REF\"})(ro||(ro={}));var kD;(function(r){let t;(function(e){e[e.LEGACY=0]=\"LEGACY\",e[e.V1=1]=\"V1\",e[e.V2=2]=\"V2\"})(t=r.CheckpointFormatVersion||(r.CheckpointFormatVersion={}))})(kD||(kD={}));var B0={};function EZ(r,t){let e={tfOpName:r,category:\"custom\",inputs:[],attrs:[],customExecutor:t};B0[r]=e}function wb(r){return B0[r]}function _Z(r){delete B0[r]}function v(r,t,e,n,o){let s=t.inputParams[r];if(s&&s.inputIndexStart!==void 0){let a=s.inputIndexStart,u=s.inputIndexEnd===0?void 0:s.inputIndexEnd===void 0?a+1:s.inputIndexEnd;if(s.type===\"tensor\")return yr(t.inputNames[s.inputIndexStart],e,n,o);if(s.type===\"tensors\")return t.inputNames.slice(a,u).map(m=>yr(m,e,n,o));let l=yr(t.inputNames.slice(a)[0],e,n,o),c=l.dataSync();return s.type===\"number\"?c[0]:y.toNestedArray(l.shape,c)}let i=t.attrParams[r];return i&&i.value}function yr(r,t,e,n){let[o,s]=gn(r);if(n!=null){let a=n.getHashTableHandleByName(o);if(a!=null)return a}let i=e.currentContextIds.find(a=>!!t[Cb(o,a)]);return i!==void 0?t[Cb(o,i)][s]:void 0}function TD(r,t,e){return t[Cb(r,e.currentContextId)]}function Eo(r,t){let[e,n,o]=gn(r);return[Cb(e,t&&t.currentContextId),n,o]}function Cb(r,t){return t?`${r}-${t}`:r}function gn(r){let t=r.split(\":\");if(t.length===1)return[r,0,void 0];let e=t[0],n=t.length===3?t[1]:void 0,o=Number(t[t.length-1]);return[e,o,n]}function Eh(r,t,e){let n=v(\"pad\",r,t,e);if(n===\"explicit\"){n=v(\"explicitPaddings\",r,t,e);let o=[[0,0],[0,0],[0,0],[0,0]];for(let s=0;s<4;s++)o[s][0]=n[s*2],o[s][1]=n[s*2+1];return o}return n}function Xs(r){return r.kept?r:sn(r)}var V0={};Gt(V0,{json:()=>AZ});var AZ=[{tfOpName:\"Add\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"AddV2\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"AddN\",category:\"arithmetic\",inputs:[{start:0,end:0,name:\"tensors\",type:\"tensors\"}]},{tfOpName:\"BiasAdd\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0}]},{tfOpName:\"Sub\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"RealDiv\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Div\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"DivNoNan\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"FloorDiv\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Mul\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Maximum\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Minimum\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Pow\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"SquaredDifference\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Mod\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"FloorMod\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]}];var G0={};Gt(G0,{json:()=>$Z});var $Z=[{tfOpName:\"Abs\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Acos\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Asin\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Atan\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Atan2\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"y\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Ceil\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"ClipByValue\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"clipValueMin\",type:\"number\"},{start:2,name:\"clipValueMax\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Complex\",category:\"basic_math\",inputs:[{start:0,name:\"real\",type:\"tensor\"},{start:1,name:\"imag\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"ComplexAbs\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Cos\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Cosh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Elu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Exp\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Floor\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Log\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Imag\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"outputType\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Neg\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Real\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"outputType\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Prelu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"alpha\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Relu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Relu6\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Selu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sigmoid\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sin\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sinh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sqrt\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Rsqrt\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Square\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Tan\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Tanh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sign\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Round\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Expm1\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Log1p\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Reciprocal\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Softplus\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Asinh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Acosh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Atanh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Erf\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Prod\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axes\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\",notSupported:!0},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LeakyRelu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"alpha\",name:\"alpha\",type:\"number\",defaultValue:.2},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"IsNan\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]}];var W0={};Gt(W0,{json:()=>DZ});var DZ=[{tfOpName:\"EmptyTensorList\",category:\"control\",inputs:[{start:0,name:\"elementShape\",type:\"shape\"},{start:1,name:\"maxNumElements\",type:\"number\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"LoopCond\",category:\"control\",inputs:[{start:0,name:\"pred\",type:\"tensor\"}]},{tfOpName:\"Switch\",category:\"control\",inputs:[{start:0,name:\"data\",type:\"tensor\"},{start:1,name:\"pred\",type:\"tensor\"}]},{tfOpName:\"Merge\",category:\"control\",inputs:[{start:0,end:0,name:\"tensors\",type:\"tensors\"}]},{tfOpName:\"Enter\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"frame_name\",name:\"frameName\",type:\"string\"},{tfName:\"is_constant\",name:\"isConstant\",type:\"bool\"}]},{tfOpName:\"Exit\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"NextIteration\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"TensorArrayV3\",category:\"control\",inputs:[{start:0,name:\"size\",type:\"number\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"element_shape\",name:\"elementShape\",type:\"shape\"},{tfName:\"dynamic_size\",name:\"dynamicSize\",type:\"bool\"},{tfName:\"clear_after_read\",name:\"clearAfterRead\",type:\"bool\"},{tfName:\"identical_element_shapes\",name:\"identicalElementShapes\",type:\"bool\"},{tfName:\"tensor_array_name\",name:\"name\",type:\"string\"}]},{tfOpName:\"TensorArrayWriteV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"index\",type:\"number\"},{start:2,name:\"tensor\",type:\"tensor\"},{start:3,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"TensorArrayReadV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"index\",type:\"number\"},{start:2,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"TensorArrayGatherV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"element_shape\",name:\"elementShape\",type:\"shape\"}]},{tfOpName:\"TensorArrayScatterV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"tensor\",type:\"tensor\"},{start:3,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"TensorArrayConcatV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"element_shape_except0\",name:\"elementShapeExcept0\",type:\"shape\",notSupported:!0}]},{tfOpName:\"TensorArraySplitV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"tensor\",type:\"tensor\"},{start:2,name:\"lengths\",type:\"number[]\"},{start:3,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"TensorArraySizeV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"flowIn\",type:\"number\"}]},{tfOpName:\"TensorArrayCloseV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"}]},{tfOpName:\"StatelessIf\",category:\"control\",inputs:[{start:0,name:\"cond\",type:\"tensor\"},{start:1,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"then_branch\",name:\"thenBranch\",type:\"func\"},{tfName:\"else_branch\",name:\"elseBranch\",type:\"func\"}]},{tfOpName:\"If\",category:\"control\",inputs:[{start:0,name:\"cond\",type:\"tensor\"},{start:1,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"then_branch\",name:\"thenBranch\",type:\"func\"},{tfName:\"else_branch\",name:\"elseBranch\",type:\"func\"}]},{tfOpName:\"StatelessWhile\",category:\"control\",inputs:[{start:0,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"cond\",name:\"cond\",type:\"func\"},{tfName:\"body\",name:\"body\",type:\"func\"}]},{tfOpName:\"While\",category:\"control\",inputs:[{start:0,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"cond\",name:\"cond\",type:\"func\"},{tfName:\"body\",name:\"body\",type:\"func\"}]},{tfOpName:\"TensorListScatter\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListScatterV2\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"elementShape\",type:\"shape\"},{start:3,name:\"numElements\",type:\"number\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListGather\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListGetItem\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"index\",type:\"number\"},{start:2,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListSetItem\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"index\",type:\"number\"},{start:2,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListReserve\",category:\"control\",inputs:[{start:0,name:\"elementShape\",type:\"shape\"},{start:1,name:\"numElements\",type:\"number\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListFromTensor\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"},{start:1,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListStack\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"},{tfName:\"num_elements\",name:\"numElements\",type:\"dtype\"}]},{tfOpName:\"TensorListSplit\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"},{start:1,name:\"elementShape\",type:\"shape\"},{start:2,name:\"lengths\",type:\"number[]\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListConcat\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"}],attrs:[{tfName:\"element_shape\",name:\"elementShape\",type:\"shape\"},{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListConcatV2\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"}],attrs:[{tfName:\"element_shape\",name:\"elementShape\",type:\"shape\"},{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListPopBack\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListPushBack\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListLength\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"}]},{tfOpName:\"TensorListResize\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"size\",type:\"number\"}]}];var U0={};Gt(U0,{json:()=>RZ});var RZ=[{tfOpName:\"AvgPool\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"MaxPool\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[],notSupported:!0},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"MaxPoolWithArgmax\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"include_batch_in_index\",name:\"includeBatchInIndex\",type:\"bool\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"AvgPool3D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"MaxPool3D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Conv1D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"stride\",name:\"stride\",type:\"number\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NWC\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"dilation\",name:\"dilation\",type:\"number\",defaultValue:1}]},{tfOpName:\"Conv2D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"useCudnnOnGpu\",name:\"useCudnnOnGpu\",type:\"bool\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\"}]},{tfOpName:\"_FusedConv2D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"},{start:2,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"num_args\",name:\"numArgs\",type:\"number\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"use_cudnn_on_gpu\",name:\"useCudnnOnGpu\",type:\"bool\",defaultValue:!0},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\",defaultValue:[1,1,1,1]},{tfName:\"fused_ops\",name:\"fusedOps\",type:\"string[]\",defaultValue:[]},{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:1e-4},{tfName:\"leakyrelu_alpha\",name:\"leakyreluAlpha\",type:\"number\",defaultValue:.2}]},{tfOpName:\"Conv2DBackpropInput\",category:\"convolution\",inputs:[{start:2,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"},{start:0,name:\"outputShape\",type:\"number[]\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\",notSupported:!0}]},{tfOpName:\"DepthwiseConv2d\",category:\"convolution\",inputs:[{start:0,name:\"input\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\"}]},{tfOpName:\"DepthwiseConv2dNative\",category:\"convolution\",inputs:[{start:0,name:\"input\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\"}]},{tfOpName:\"FusedDepthwiseConv2dNative\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"},{start:2,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"num_args\",name:\"numArgs\",type:\"number\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\",defaultValue:[1,1,1,1]},{tfName:\"fused_ops\",name:\"fusedOps\",type:\"string[]\",defaultValue:[]},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]}]},{tfOpName:\"Conv3D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\"}]},{tfOpName:\"Dilation2D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"rates\",name:\"dilations\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"}]}];var H0={};Gt(H0,{json:()=>FZ});var FZ=[{tfOpName:\"Fill\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"},{start:1,name:\"value\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"LinSpace\",category:\"creation\",inputs:[{start:0,name:\"start\",type:\"number\"},{start:1,name:\"stop\",type:\"number\"},{start:2,name:\"num\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"OneHot\",category:\"creation\",inputs:[{start:0,name:\"indices\",type:\"tensor\"},{start:1,name:\"depth\",type:\"number\"},{start:2,name:\"onValue\",type:\"number\",defaultValue:1},{start:3,name:\"offValue\",type:\"number\",defaultValue:0}],attrs:[{tfName:\"axis\",name:\"axis\",type:\"number\",notSupported:!0},{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"Ones\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"OnesLike\",category:\"creation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"RandomStandardNormal\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"seed\",name:\"seed\",type:\"number\",defaultValue:0},{tfName:\"seed2\",name:\"seed2\",type:\"number\",defaultValue:0,notSupported:!0},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"T\",name:\"T\",type:\"number\",notSupported:!0}]},{tfOpName:\"RandomUniform\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"minval\",name:\"minval\",type:\"number\",defaultValue:0},{tfName:\"maxval\",name:\"maxval\",type:\"number\",defaultValue:1},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"seed\",name:\"seed\",type:\"number\",defaultValue:0},{tfName:\"seed2\",name:\"seed2\",type:\"number\",defaultValue:0,notSupported:!0},{tfName:\"T\",name:\"T\",type:\"number\",notSupported:!0}]},{tfOpName:\"Range\",category:\"creation\",inputs:[{start:0,name:\"start\",type:\"number\"},{start:1,name:\"stop\",type:\"number\"},{start:2,name:\"step\",type:\"number\",defaultValue:0}],attrs:[{tfName:\"Tidx\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"TruncatedNormal\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"means\",name:\"mean\",type:\"number\",defaultValue:0},{tfName:\"stddev\",name:\"stdDev\",type:\"number\",defaultValue:1},{tfName:\"seed\",name:\"seed\",type:\"number\"},{tfName:\"seed2\",name:\"seed2\",type:\"number\",defaultValue:0,notSupported:!0},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"T\",name:\"T\",type:\"number\",notSupported:!0}]},{tfOpName:\"Zeros\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"ZerosLike\",category:\"creation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"Multinomial\",category:\"creation\",inputs:[{start:0,name:\"logits\",type:\"tensor\"},{start:1,name:\"numSamples\",type:\"number\"}],attrs:[{tfName:\"seed\",name:\"seed\",type:\"number\"},{tfName:\"seed2\",name:\"seed2\",type:\"number\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\"},{tfName:\"output_dtype\",name:\"output_dtype\",type:\"dtype\"}]}];var q0={};Gt(q0,{json:()=>OZ});var OZ=[{tfOpName:\"NonMaxSuppressionV2\",category:\"dynamic\",inputs:[{start:0,name:\"boxes\",type:\"tensor\"},{start:1,name:\"scores\",type:\"tensor\"},{start:2,name:\"maxOutputSize\",type:\"number\"},{start:3,name:\"iouThreshold\",type:\"number\"}]},{tfOpName:\"NonMaxSuppressionV3\",category:\"dynamic\",inputs:[{start:0,name:\"boxes\",type:\"tensor\"},{start:1,name:\"scores\",type:\"tensor\"},{start:2,name:\"maxOutputSize\",type:\"number\"},{start:3,name:\"iouThreshold\",type:\"number\"},{start:4,name:\"scoreThreshold\",type:\"number\"}]},{tfOpName:\"NonMaxSuppressionV4\",category:\"dynamic\",inputs:[{start:0,name:\"boxes\",type:\"tensor\"},{start:1,name:\"scores\",type:\"tensor\"},{start:2,name:\"maxOutputSize\",type:\"number\"},{start:3,name:\"iouThreshold\",type:\"number\"},{start:4,name:\"scoreThreshold\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"T_threshold\",name:\"threshold\",type:\"dtype\",notSupported:!0},{tfName:\"pad_to_max_output_size\",name:\"padToMaxOutputSize\",type:\"bool\"}]},{tfOpName:\"NonMaxSuppressionV5\",category:\"dynamic\",inputs:[{start:0,name:\"boxes\",type:\"tensor\"},{start:1,name:\"scores\",type:\"tensor\"},{start:2,name:\"maxOutputSize\",type:\"number\"},{start:3,name:\"iouThreshold\",type:\"number\"},{start:4,name:\"scoreThreshold\",type:\"number\"},{start:5,name:\"softNmsSigma\",type:\"number\"}]},{tfOpName:\"Where\",category:\"dynamic\",inputs:[{start:0,name:\"condition\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"ListDiff\",category:\"dynamic\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"y\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]}];var K0={};Gt(K0,{json:()=>PZ});var PZ=[{tfOpName:\"LowerBound\",category:\"evaluation\",inputs:[{start:0,name:\"sortedSequence\",type:\"tensor\"},{start:1,name:\"values\",type:\"tensor\"}]},{tfOpName:\"TopKV2\",category:\"evaluation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"k\",type:\"number\"}],attrs:[{tfName:\"sorted\",name:\"sorted\",type:\"bool\"}]},{tfOpName:\"UpperBound\",category:\"evaluation\",inputs:[{start:0,name:\"sortedSequence\",type:\"tensor\"},{start:1,name:\"values\",type:\"tensor\"}]},{tfOpName:\"Unique\",category:\"evaluation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"UniqueV2\",category:\"evaluation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}]}];var j0={};Gt(j0,{json:()=>LZ});var LZ=[{tfOpName:\"PlaceholderWithDefault\",category:\"graph\",inputs:[{start:0,name:\"default\",type:\"tensor\"}],attrs:[{tfName:\"shape\",name:\"shape\",type:\"shape\"},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"Placeholder\",category:\"graph\",attrs:[{tfName:\"shape\",name:\"shape\",type:\"shape\"},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"Const\",category:\"graph\"},{tfOpName:\"Identity\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"IdentityN\",category:\"graph\",inputs:[{start:0,end:0,name:\"x\",type:\"tensors\"}]},{tfOpName:\"Snapshot\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"Rank\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"Size\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"Shape\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"ShapeN\",category:\"graph\",inputs:[{start:0,end:0,name:\"x\",type:\"tensors\"}]},{tfOpName:\"Print\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"data\",type:\"tensors\"}],attrs:[{tfName:\"message\",name:\"message\",type:\"string\"},{tfName:\"first_n\",name:\"firstN\",type:\"number\",notSupported:!0},{tfName:\"summarize\",name:\"summarize\",type:\"number\",defaultValue:3}]},{tfOpName:\"NoOp\",category:\"graph\",inputs:[]},{tfOpName:\"StopGradient\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"FakeQuantWithMinMaxVars\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"min\",name:\"min\",type:\"number\"},{tfName:\"max\",name:\"max\",type:\"number\"}]}];var X0={};Gt(X0,{json:()=>MZ});var MZ=[{tfOpName:\"HashTable\",category:\"hash_table\",inputs:[],attrs:[{tfName:\"shared_name\",name:\"sharedName\",type:\"string\"},{tfName:\"use_node_name_sharing\",name:\"useNodeNameSharing\",type:\"bool\"},{tfName:\"key_dtype\",name:\"keyDType\",type:\"dtype\"},{tfName:\"value_dtype\",name:\"valueDType\",type:\"dtype\"}]},{tfOpName:\"HashTableV2\",category:\"hash_table\",inputs:[],attrs:[{tfName:\"shared_name\",name:\"sharedName\",type:\"string\"},{tfName:\"use_node_name_sharing\",name:\"useNodeNameSharing\",type:\"bool\"},{tfName:\"key_dtype\",name:\"keyDType\",type:\"dtype\"},{tfName:\"value_dtype\",name:\"valueDType\",type:\"dtype\"}]},{tfOpName:\"LookupTableImport\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"values\",type:\"tensor\"}],attrs:[{tfName:\"Tin\",name:\"tIn\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"tOut\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LookupTableImportV2\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"values\",type:\"tensor\"}],attrs:[{tfName:\"Tin\",name:\"tIn\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"tOut\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LookupTableFind\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"defaultValue\",type:\"tensor\"}],attrs:[{tfName:\"Tin\",name:\"tIn\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"tOut\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LookupTableFindV2\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"defaultValue\",type:\"tensor\"}],attrs:[{tfName:\"Tin\",name:\"tIn\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"tOut\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LookupTableSize\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"}]},{tfOpName:\"LookupTableSizeV2\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"}]}];var Y0={};Gt(Y0,{json:()=>zZ});var zZ=[{tfOpName:\"ResizeBilinear\",category:\"image\",inputs:[{start:0,name:\"images\",type:\"tensor\"},{start:1,name:\"size\",type:\"number[]\"}],attrs:[{tfName:\"align_corners\",name:\"alignCorners\",type:\"bool\"},{tfName:\"half_pixel_centers\",name:\"halfPixelCenters\",type:\"bool\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"ResizeNearestNeighbor\",category:\"image\",inputs:[{start:0,name:\"images\",type:\"tensor\"},{start:1,name:\"size\",type:\"number[]\"}],attrs:[{tfName:\"align_corners\",name:\"alignCorners\",type:\"bool\"},{tfName:\"half_pixel_centers\",name:\"halfPixelCenters\",type:\"bool\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"CropAndResize\",category:\"image\",inputs:[{start:0,name:\"image\",type:\"tensor\"},{start:1,name:\"boxes\",type:\"tensor\"},{start:2,name:\"boxInd\",type:\"tensor\"},{start:3,name:\"cropSize\",type:\"number[]\"}],attrs:[{tfName:\"method\",name:\"method\",type:\"string\"},{tfName:\"extrapolation_value\",name:\"extrapolationValue\",type:\"number\"}]},{tfOpName:\"ImageProjectiveTransformV3\",category:\"image\",inputs:[{start:0,name:\"images\",type:\"tensor\"},{start:1,name:\"transforms\",type:\"tensor\"},{start:2,name:\"outputShape\",type:\"number[]\"},{start:3,name:\"fillValue\",type:\"number\"}],attrs:[{tfName:\"interpolation\",name:\"interpolation\",type:\"string\"},{tfName:\"fill_mode\",name:\"fillMode\",type:\"string\"}]}];var Z0={};Gt(Z0,{json:()=>BZ});var BZ=[{tfOpName:\"Equal\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"NotEqual\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Greater\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"GreaterEqual\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Less\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LessEqual\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LogicalAnd\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LogicalNot\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LogicalOr\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Select\",category:\"logical\",inputs:[{start:0,name:\"condition\",type:\"tensor\"},{start:1,name:\"a\",type:\"tensor\"},{start:2,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"SelectV2\",category:\"logical\",inputs:[{start:0,name:\"condition\",type:\"tensor\"},{start:1,name:\"a\",type:\"tensor\"},{start:2,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]}];var J0={};Gt(J0,{json:()=>VZ});var VZ=[{tfOpName:\"_FusedMatMul\",category:\"matrices\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"},{start:2,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"num_args\",name:\"numArgs\",type:\"number\"},{tfName:\"fused_ops\",name:\"fusedOps\",type:\"string[]\",defaultValue:[]},{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:1e-4},{tfName:\"transpose_a\",name:\"transposeA\",type:\"bool\",defaultValue:!1},{tfName:\"transpose_b\",name:\"transposeB\",type:\"bool\",defaultValue:!1},{tfName:\"leakyrelu_alpha\",name:\"leakyreluAlpha\",type:\"number\",defaultValue:.2},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"MatMul\",category:\"matrices\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"transpose_a\",name:\"transposeA\",type:\"bool\",defaultValue:!1},{tfName:\"transpose_b\",name:\"transposeB\",type:\"bool\",defaultValue:!1},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"BatchMatMul\",category:\"matrices\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"adj_x\",name:\"transposeA\",type:\"bool\",defaultValue:!1},{tfName:\"adj_y\",name:\"transposeB\",type:\"bool\",defaultValue:!1},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"BatchMatMulV2\",category:\"matrices\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"adj_x\",name:\"transposeA\",type:\"bool\",defaultValue:!1},{tfName:\"adj_y\",name:\"transposeB\",type:\"bool\",defaultValue:!1},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Transpose\",category:\"matrices\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"perm\",type:\"number[]\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Einsum\",category:\"matrices\",inputs:[{start:0,end:0,name:\"tensors\",type:\"tensors\"}],attrs:[{tfName:\"equation\",name:\"equation\",type:\"string\"},{tfName:\"N\",name:\"n\",type:\"number\",defaultValue:2},{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]}];var Q0={};Gt(Q0,{json:()=>GZ});var GZ=[{tfOpName:\"EuclideanNorm\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\",defaultValue:!1}]},{tfOpName:\"FusedBatchNorm\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"scale\",type:\"tensor\"},{start:2,name:\"offset\",type:\"tensor\"},{start:3,name:\"mean\",type:\"tensor\"},{start:4,name:\"variance\",type:\"tensor\"}],attrs:[{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:.001},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0}]},{tfOpName:\"FusedBatchNormV2\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"scale\",type:\"tensor\"},{start:2,name:\"offset\",type:\"tensor\"},{start:3,name:\"mean\",type:\"tensor\"},{start:4,name:\"variance\",type:\"tensor\"}],attrs:[{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:.001},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0}]},{tfOpName:\"FusedBatchNormV3\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"scale\",type:\"tensor\"},{start:2,name:\"offset\",type:\"tensor\"},{start:3,name:\"mean\",type:\"tensor\"},{start:4,name:\"variance\",type:\"tensor\"}],attrs:[{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:.001},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0}]},{tfOpName:\"LRN\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"depth_radius\",name:\"radius\",type:\"number\",defaultValue:5},{tfName:\"bias\",name:\"bias\",type:\"number\",defaultValue:1},{tfName:\"alpha\",name:\"alpha\",type:\"number\",defaultValue:1},{tfName:\"beta\",name:\"beta\",type:\"number\",defaultValue:.5}]},{tfOpName:\"Softmax\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"LogSoftmax\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"SparseToDense\",category:\"normalization\",inputs:[{start:0,name:\"sparseIndices\",type:\"tensor\"},{start:1,name:\"outputShape\",type:\"number[]\"},{start:2,name:\"sparseValues\",type:\"tensor\"},{start:3,name:\"defaultValue\",type:\"tensor\"}],attrs:[{tfName:\"validate_indices\",name:\"validateIndices\",type:\"bool\",defaultValue:!0,notSupported:!0}]}];var tN={};Gt(tN,{json:()=>WZ});var WZ=[{tfOpName:\"Bincount\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"size\",type:\"number\"},{start:2,name:\"weights\",type:\"tensor\"}]},{tfOpName:\"DenseBincount\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"size\",type:\"number\"},{start:2,name:\"weights\",type:\"tensor\"}],attrs:[{tfName:\"binary_output\",name:\"binaryOutput\",type:\"bool\"}]},{tfOpName:\"Max\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"Mean\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"Min\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"Sum\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"All\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"Any\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"ArgMax\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}]},{tfOpName:\"ArgMin\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}]},{tfOpName:\"Prod\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"Cumprod\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}],attrs:[{tfName:\"exclusive\",name:\"exclusive\",type:\"bool\"},{tfName:\"reverse\",name:\"reverse\",type:\"bool\"}]},{tfOpName:\"Cumsum\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}],attrs:[{tfName:\"exclusive\",name:\"exclusive\",type:\"bool\"},{tfName:\"reverse\",name:\"reverse\",type:\"bool\"}]}];var eN={};Gt(eN,{json:()=>UZ});var UZ=[{tfOpName:\"ConcatV2\",category:\"slice_join\",inputs:[{start:0,end:-1,name:\"tensors\",type:\"tensors\"},{start:-1,name:\"axis\",type:\"number\"}],attrs:[{tfName:\"N\",name:\"n\",type:\"number\",defaultValue:2}]},{tfOpName:\"Concat\",category:\"slice_join\",inputs:[{start:1,end:0,name:\"tensors\",type:\"tensors\"},{start:0,name:\"axis\",type:\"number\"}],attrs:[{tfName:\"N\",name:\"n\",type:\"number\",defaultValue:2}]},{tfOpName:\"GatherV2\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"},{start:2,name:\"axis\",type:\"number\",defaultValue:0}],attrs:[{tfName:\"batch_dims\",name:\"batchDims\",type:\"number\",defaultValue:0}]},{tfOpName:\"Gather\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"}],attrs:[{tfName:\"validate_indices\",name:\"validateIndices\",type:\"bool\",notSupported:!0}]},{tfOpName:\"Reverse\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"dims\",type:\"bool[]\"}]},{tfOpName:\"ReverseV2\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}]},{tfOpName:\"Slice\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"begin\",type:\"number[]\"},{start:2,name:\"size\",type:\"number[]\"}]},{tfOpName:\"StridedSlice\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"begin\",type:\"number[]\"},{start:2,name:\"end\",type:\"number[]\"},{start:3,name:\"strides\",type:\"number[]\"}],attrs:[{tfName:\"begin_mask\",name:\"beginMask\",type:\"number\",defaultValue:0},{tfName:\"end_mask\",name:\"endMask\",type:\"number\",defaultValue:0},{tfName:\"new_axis_mask\",name:\"newAxisMask\",type:\"number\",defaultValue:0},{tfName:\"ellipsis_mask\",name:\"ellipsisMask\",type:\"number\",defaultValue:0},{tfName:\"shrink_axis_mask\",name:\"shrinkAxisMask\",type:\"number\",defaultValue:0}]},{tfOpName:\"Pack\",category:\"slice_join\",inputs:[{start:0,end:0,name:\"tensors\",type:\"tensors\"}],attrs:[{tfName:\"axis\",name:\"axis\",type:\"number\",defaultValue:0}]},{tfOpName:\"Unpack\",category:\"slice_join\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"axis\",name:\"axis\",type:\"number\",defaultValue:0},{tfName:\"num\",name:\"num\",type:\"number\",defaultValue:0,notSupported:!0}]},{tfOpName:\"Tile\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"reps\",type:\"number[]\"}]},{tfOpName:\"Split\",category:\"slice_join\",inputs:[{start:0,name:\"axis\",type:\"number\",defaultValue:0},{start:1,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"num_split\",name:\"numOrSizeSplits\",type:\"number\",defaultValue:1}]},{tfOpName:\"SplitV\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"numOrSizeSplits\",type:\"number[]\"},{start:2,name:\"axis\",type:\"number\",defaultValue:0}]},{tfOpName:\"ScatterNd\",category:\"slice_join\",inputs:[{start:0,name:\"indices\",type:\"tensor\"},{start:1,name:\"values\",type:\"tensor\"},{start:2,name:\"shape\",type:\"number[]\"}]},{tfOpName:\"GatherNd\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"}]},{tfOpName:\"SparseToDense\",category:\"slice_join\",inputs:[{start:0,name:\"sparseIndices\",type:\"tensor\"},{start:1,name:\"outputShape\",type:\"number[]\"},{start:2,name:\"sparseValues\",type:\"tensor\"},{start:3,name:\"defaultValue\",type:\"tensor\"}],attrs:[{tfName:\"validate_indices\",name:\"validateIndices\",type:\"bool\",defaultValue:!1,notSupported:!0}]}];var rN={};Gt(rN,{json:()=>HZ});var HZ=[{tfOpName:\"SparseFillEmptyRows\",category:\"sparse\",inputs:[{start:0,name:\"indices\",type:\"tensor\"},{start:1,name:\"values\",type:\"tensor\"},{start:2,name:\"denseShape\",type:\"tensor\"},{start:3,name:\"defaultValue\",type:\"tensor\"}]},{tfOpName:\"SparseReshape\",category:\"sparse\",inputs:[{start:0,name:\"inputIndices\",type:\"tensor\"},{start:1,name:\"inputShape\",type:\"tensor\"},{start:2,name:\"newShape\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"SparseSegmentMean\",category:\"sparse\",inputs:[{start:0,name:\"data\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"},{start:2,name:\"segmentIds\",type:\"tensor\"}]},{tfOpName:\"SparseSegmentSum\",category:\"sparse\",inputs:[{start:0,name:\"data\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"},{start:2,name:\"segmentIds\",type:\"tensor\"}]}];var nN={};Gt(nN,{json:()=>qZ});var qZ=[{tfOpName:\"FFT\",category:\"spectral\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"IFFT\",category:\"spectral\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"RFFT\",category:\"spectral\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"fft_length\",type:\"number\",notSupported:!0}]},{tfOpName:\"IRFFT\",category:\"spectral\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"fft_length\",type:\"number\",notSupported:!0}]}];var oN={};Gt(oN,{json:()=>KZ});var KZ=[{tfOpName:\"StringNGrams\",category:\"string\",inputs:[{start:0,name:\"data\",type:\"tensor\"},{start:1,name:\"dataSplits\",type:\"tensor\"}],attrs:[{tfName:\"separator\",name:\"separator\",type:\"string\"},{tfName:\"ngram_widths\",name:\"nGramWidths\",type:\"number[]\"},{tfName:\"left_pad\",name:\"leftPad\",type:\"string\"},{tfName:\"right_pad\",name:\"rightPad\",type:\"string\"},{tfName:\"pad_width\",name:\"padWidth\",type:\"number\"},{tfName:\"preserve_short_sequences\",name:\"preserveShortSequences\",type:\"bool\"}],outputs:[\"ngrams\",\"ngrams_splits\"]},{tfOpName:\"StringSplit\",category:\"string\",inputs:[{start:0,name:\"input\",type:\"tensor\"},{start:1,name:\"delimiter\",type:\"tensor\"}],attrs:[{tfName:\"skip_empty\",name:\"skipEmpty\",type:\"bool\"}],outputs:[\"indices\",\"values\",\"shape\"]},{tfOpName:\"StringToHashBucketFast\",category:\"string\",inputs:[{start:0,name:\"input\",type:\"tensor\"}],attrs:[{tfName:\"num_buckets\",name:\"numBuckets\",type:\"number\"}]}];var sN={};Gt(sN,{json:()=>jZ});var jZ=[{tfOpName:\"Cast\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"SrcT\",name:\"sdtype\",type:\"dtype\",notSupported:!0},{tfName:\"DstT\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"ExpandDims\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}]},{tfOpName:\"MirrorPad\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"padding\",type:\"number[]\"}],attrs:[{tfName:\"mode\",name:\"mode\",type:\"string\"}]},{tfOpName:\"Pad\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"padding\",type:\"number[]\"}],attrs:[{tfName:\"constant_value\",name:\"constantValue\",type:\"number\",defaultValue:0}]},{tfOpName:\"PadV2\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"padding\",type:\"number[]\"},{start:2,name:\"constantValue\",type:\"number\",defaultValue:0}]},{tfOpName:\"Reshape\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"shape\",type:\"number[]\"}]},{tfOpName:\"Squeeze\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"axis\",tfDeprecatedName:\"squeeze_dims\",name:\"axis\",type:\"number[]\"}]},{tfOpName:\"SpaceToBatchND\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"blockShape\",type:\"number[]\"},{start:2,name:\"paddings\",type:\"number[]\"}]},{tfOpName:\"BatchToSpaceND\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"blockShape\",type:\"number[]\"},{start:2,name:\"crops\",type:\"number[]\"}]},{tfOpName:\"DepthToSpace\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"block_size\",name:\"blockSize\",type:\"number\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\"}]},{tfOpName:\"BroadcastTo\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"shape\",type:\"number[]\"}],attrs:[]},{tfOpName:\"BroadcastArgs\",category:\"transformation\",inputs:[{start:0,name:\"s0\",type:\"tensor\"},{start:1,name:\"s1\",type:\"tensor\"}],attrs:[]}];var _h=class{static get Instance(){return this._instance||(this._instance=new this)}constructor(){let t=[V0,G0,W0,U0,H0,q0,K0,j0,X0,Y0,Z0,J0,Q0,tN,eN,rN,nN,oN,sN],e=[].concat(...t.map(n=>n.json));this.opMappers=e.reduce((n,o)=>(n[o.tfOpName]=o,n),{})}transformGraph(t,e={}){let n=t.node,o=[],s=[],i=[],a=n.reduce((h,g)=>(h[g.name]=this.mapNode(g),g.op.startsWith(\"Placeholder\")?o.push(h[g.name]):g.op===\"Const\"?s.push(h[g.name]):(g.input==null||g.input.length===0)&&i.push(h[g.name]),h),{}),u=[],l=[],c={},p={};e!=null&&(c=this.mapSignatureEntries(e.inputs),p=this.mapSignatureEntries(e.outputs));let m=Object.keys(a);m.forEach(h=>{let g=a[h];g.inputNames.forEach((x,b)=>{let[w,,C]=Eo(x),N=a[w];if(N.outputs!=null){let _=N.outputs.indexOf(C);if(_!==-1){let A=`${w}:${_}`;g.inputNames[b]=A}}g.inputs.push(N),N.children.push(g)})}),Object.keys(p).length===0?m.forEach(h=>{let g=a[h];g.children.length===0&&l.push(g)}):Object.keys(p).forEach(h=>{let[g]=Eo(h),x=a[g];x!=null&&(x.signatureKey=p[h],l.push(x))}),Object.keys(c).length>0?Object.keys(c).forEach(h=>{let[g]=Eo(h),x=a[g];x&&(x.signatureKey=c[h],u.push(x))}):u=o;let f={};t.library!=null&&t.library.function!=null&&(f=t.library.function.reduce((h,g)=>(h[g.signature.name]=this.mapFunction(g),h),{}));let d={nodes:a,inputs:u,outputs:l,weights:s,placeholders:o,signature:e,functions:f};return i.length>0&&(d.initNodes=i),d}mapSignatureEntries(t){return Object.keys(t||{}).reduce((e,n)=>(e[t[n].name]=n,e),{})}mapNode(t){let e=wb(t.op)||this.opMappers[t.op]||{};t.attr==null&&(t.attr={});let n={name:t.name,op:t.op,category:e.category,inputNames:(t.input||[]).map(o=>o.startsWith(\"^\")?o.slice(1):o),inputs:[],children:[],inputParams:{},attrParams:{},rawAttrs:t.attr,outputs:e.outputs};return e.inputs!=null&&(n.inputParams=e.inputs.reduce((o,s)=>(o[s.name]={type:s.type,inputIndexStart:s.start,inputIndexEnd:s.end},o),{})),e.attrs!=null&&(n.attrParams=e.attrs.reduce((o,s)=>{let i=s.type,a;switch(s.type){case\"string\":a=Ib(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Ib(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"string[]\":a=_b(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=_b(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"number\":a=Sb(t.attr,s.tfName,s.defaultValue||0),a===void 0&&!!s.tfDeprecatedName&&(a=Sb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"number[]\":a=Eb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Eb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"bool\":a=vb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=vb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"bool[]\":a=$b(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=$b(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"shape\":a=Tb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Tb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"shape[]\":a=Ab(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Ab(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"dtype\":a=Nb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Nb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"dtype[]\":a=kb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=kb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"func\":a=ED(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=ED(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"tensor\":case\"tensors\":break;default:throw new Error(`Unsupported param type: ${s.type} for op: ${t.op}`)}return o[s.name]={value:a,type:i},o},{})),n}mapFunction(t){let e=t.nodeDef,n=[],o=[],s={};e!=null&&(s=e.reduce((p,m)=>(p[m.name]=this.mapNode(m),m.op===\"Const\"&&o.push(p[m.name]),p),{}));let i=[],a=[];t.signature.inputArg.forEach(p=>{let[m]=Eo(p.name),f={name:m,op:\"Placeholder\",inputs:[],inputNames:[],category:\"graph\",inputParams:{},attrParams:{dtype:{value:iN(p.type),type:\"dtype\"}},children:[]};f.signatureKey=p.name,i.push(f),s[m]=f}),Object.keys(s).forEach(p=>{let m=s[p];m.inputNames.forEach((f,d)=>{let[h,,g]=Eo(f),x=s[h];if(x.outputs!=null){let b=x.outputs.indexOf(g);if(b!==-1){let w=`${h}:${b}`;m.inputNames[d]=w}}m.inputs.push(x),x.children.push(m)})});let l=t.ret;t.signature.outputArg.forEach(p=>{let[m,f]=Eo(l[p.name]),d=s[m];d!=null&&(d.defaultOutput=f,a.push(d))});let c=this.mapArgsToSignature(t);return{nodes:s,inputs:i,outputs:a,weights:o,placeholders:n,signature:c}}mapArgsToSignature(t){return{methodName:t.signature.name,inputs:t.signature.inputArg.reduce((e,n)=>(e[n.name]=this.mapArgToTensorInfo(n),e),{}),outputs:t.signature.outputArg.reduce((e,n)=>(e[n.name]=this.mapArgToTensorInfo(n,t.ret),e),{})}}mapArgToTensorInfo(t,e){let n=t.name;return e!=null&&(n=e[n]),{name:n,dtype:t.type}}};function XZ(r){let t=M().global;if(typeof t.atob!=\"undefined\")return t.atob(r);if(typeof Buffer!=\"undefined\")return new Buffer(r,\"base64\").toString();throw new Error(\"Unable to decode base64 in this environment. Missing built-in atob() or Buffer()\")}function _D(r,t){let e=Array.isArray(r)?String.fromCharCode.apply(null,r):XZ(r);return t?e:e.toLowerCase()}function Ib(r,t,e,n=!1){let o=r[t];return o!=null?_D(o.s,n):e}function vb(r,t,e){let n=r[t];return n?n.b:e}function Sb(r,t,e){let n=r[t]||{},o=n.i!=null?n.i:n.f!=null?n.f:e;return typeof o==\"number\"?o:parseInt(o,10)}function iN(r){switch(typeof r==\"string\"&&(r=ro[r]),r){case ro.DT_FLOAT:case ro.DT_HALF:return\"float32\";case ro.DT_INT32:case ro.DT_INT64:case ro.DT_INT8:case ro.DT_UINT8:return\"int32\";case ro.DT_BOOL:return\"bool\";case ro.DT_DOUBLE:return\"float32\";case ro.DT_STRING:return\"string\";default:return null}}function ED(r,t,e){let n=r[t];return n&&n.func?n.func.name:e}function Nb(r,t,e){let n=r[t];return n&&n.type?iN(n.type):e}function kb(r,t,e){let n=r[t];return n&&n.list&&n.list.type?n.list.type.map(o=>iN(o)):e}function AD(r){if(!r.unknownRank)return r.dim!=null?r.dim.map(t=>typeof t.size==\"number\"?t.size:parseInt(t.size,10)):[]}function Tb(r,t,e){let n=r[t];return n&&n.shape?AD(n.shape):e}function Eb(r,t,e){let n=r[t];return n?((n.list.f&&n.list.f.length?n.list.f:n.list.i)||[]).map(o=>typeof o==\"number\"?o:parseInt(o,10)):e}function _b(r,t,e,n=!1){let o=r[t];return o&&o.list&&o.list.s?o.list.s.map(s=>_D(s,n)):e}function Ab(r,t,e){let n=r[t];return n&&n.list&&n.list.shape?n.list.shape.map(o=>AD(o)):e}function $b(r,t,e){let n=r[t];return n&&n.list&&n.list.b?n.list.b:e}var Db=class{constructor(t,e,n){this.node=t,this.tensorMap=e,this.context=n,this.inputs=[],this.attrs={},this.inputs=t.inputNames.map(o=>this.getInput(o)),t.rawAttrs!=null&&(this.attrs=Object.keys(t.rawAttrs).reduce((o,s)=>(o[s]=this.getAttr(s),o),{}))}getInput(t){return yr(t,this.tensorMap,this.context)}getAttr(t,e){let n=this.node.rawAttrs[t];if(n.tensor!=null)return yr(t,this.tensorMap,this.context);if(n.i!=null||n.f!=null)return Sb(this.node.rawAttrs,t,e);if(n.s!=null)return Ib(this.node.rawAttrs,t,e);if(n.b!=null)return vb(this.node.rawAttrs,t,e);if(n.shape!=null)return Tb(this.node.rawAttrs,t,e);if(n.type!=null)return Nb(this.node.rawAttrs,t,e);if(n.list!=null){if(n.list.i!=null||n.list.f!=null)return Eb(this.node.rawAttrs,t,e);if(n.list.s!=null)return _b(this.node.rawAttrs,t,e);if(n.list.shape!=null)return Ab(this.node.rawAttrs,t,e);if(n.list.b!=null)return $b(this.node.rawAttrs,t,e);if(n.list.type!=null)return kb(this.node.rawAttrs,t,e)}return e}};var ae={};Gt(ae,{OP_SCOPE_SUFFIX:()=>IS,abs:()=>Ee,acos:()=>rx,acosh:()=>nx,add:()=>X,addN:()=>DE,all:()=>Yp,any:()=>Hu,argMax:()=>Ei,argMin:()=>ox,asin:()=>sx,asinh:()=>ix,atan:()=>ax,atan2:()=>lx,atanh:()=>ux,avgPool:()=>jl,avgPool3d:()=>px,basicLSTMCell:()=>OE,batchNorm:()=>Ai,batchNorm2d:()=>mx,batchNorm3d:()=>fx,batchNorm4d:()=>dx,batchToSpaceND:()=>Xl,bincount:()=>hx,booleanMaskAsync:()=>Uj,broadcastArgs:()=>LE,broadcastTo:()=>$i,buffer:()=>wt,cast:()=>J,ceil:()=>gx,clipByValue:()=>Cr,clone:()=>sn,complex:()=>bn,concat:()=>ne,concat1d:()=>xx,concat2d:()=>yx,concat3d:()=>bx,concat4d:()=>wx,conv1d:()=>Jp,conv2d:()=>Cn,conv2dTranspose:()=>tm,conv3d:()=>Cx,conv3dTranspose:()=>vx,cos:()=>Yl,cosh:()=>em,cosineWindow:()=>ch,cumprod:()=>ju,cumsum:()=>rm,denseBincount:()=>ME,depthToSpace:()=>Sx,depthwiseConv2d:()=>Di,diag:()=>zE,dilation2d:()=>Nx,div:()=>pt,divNoNan:()=>kx,dot:()=>Tx,dropout:()=>n0,einsum:()=>BE,elu:()=>Ri,enclosingPowerOfTwo:()=>o0,equal:()=>Ar,erf:()=>Ex,euclideanNorm:()=>_x,exp:()=>er,expandDims:()=>gr,expm1:()=>Ax,eye:()=>Yu,fft:()=>su,fill:()=>go,floor:()=>Fi,floorDiv:()=>Xp,fused:()=>au,gather:()=>Oi,gatherND:()=>Qj,greater:()=>He,greaterEqual:()=>Fn,ifft:()=>Za,imag:()=>Kl,image:()=>lu,inTopKAsync:()=>r6,irfft:()=>gm,isFinite:()=>$x,isInf:()=>Dx,isNaN:()=>Rx,leakyRelu:()=>Zl,less:()=>nm,lessEqual:()=>On,linalg:()=>i0,linspace:()=>WE,localResponseNormalization:()=>Fx,log:()=>Ir,log1p:()=>Jl,logSigmoid:()=>Lx,logSoftmax:()=>om,logSumExp:()=>sm,logicalAnd:()=>Dr,logicalNot:()=>Ql,logicalOr:()=>im,logicalXor:()=>Mx,losses:()=>rX,lowerBound:()=>UE,matMul:()=>Lt,max:()=>Br,maxPool:()=>tu,maxPool3d:()=>Bx,maxPoolWithArgmax:()=>HE,maximum:()=>In,mean:()=>Se,meshgrid:()=>qE,min:()=>Xu,minimum:()=>Pi,mirrorPad:()=>Vx,mod:()=>Gx,moments:()=>Zu,movingAverage:()=>qj,mul:()=>R,multiRNNCell:()=>KE,multinomial:()=>jE,neg:()=>Ut,norm:()=>Ya,notEqual:()=>zs,oneHot:()=>ki,ones:()=>lr,onesLike:()=>xr,op:()=>k,outerProduct:()=>XE,pad:()=>un,pad1d:()=>YE,pad2d:()=>ZE,pad3d:()=>JE,pad4d:()=>QE,pool:()=>Wx,pow:()=>an,prelu:()=>ru,print:()=>Kg,prod:()=>Ux,raggedGather:()=>t_,raggedTensorToTensor:()=>e_,rand:()=>r_,randomGamma:()=>b_,randomNormal:()=>tc,randomStandardNormal:()=>w_,randomUniform:()=>Li,range:()=>nu,real:()=>Xa,reciprocal:()=>Xx,relu:()=>Rr,relu6:()=>am,reshape:()=>D,reverse:()=>ur,reverse1d:()=>C_,reverse2d:()=>I_,reverse3d:()=>v_,reverse4d:()=>S_,rfft:()=>iu,round:()=>lm,rsqrt:()=>um,scalar:()=>mt,scatterND:()=>jj,searchSorted:()=>ah,selu:()=>cm,separableConv2d:()=>pm,setdiff1dAsync:()=>N_,sigmoid:()=>Xr,sign:()=>Yx,signal:()=>eX,sin:()=>mm,sinh:()=>fm,slice:()=>Dt,slice1d:()=>dm,slice2d:()=>uh,slice3d:()=>hm,slice4d:()=>ec,softmax:()=>ou,softplus:()=>Ms,spaceToBatchND:()=>eu,sparse:()=>nX,sparseToDense:()=>Zj,spectral:()=>tX,split:()=>cr,sqrt:()=>ve,square:()=>Mt,squaredDifference:()=>xm,squeeze:()=>Pn,stack:()=>rr,step:()=>yo,stridedSlice:()=>Zx,string:()=>oX,sub:()=>ct,sum:()=>ft,tan:()=>Jx,tanh:()=>_i,tensor:()=>wr,tensor1d:()=>Le,tensor2d:()=>Bs,tensor3d:()=>Zg,tensor4d:()=>k_,tensor5d:()=>T_,tensor6d:()=>E_,tile:()=>$r,topk:()=>Qx,transpose:()=>Ot,truncatedNormal:()=>ym,unique:()=>ty,unsortedSegmentSum:()=>bm,unstack:()=>vr,upperBound:()=>__,variable:()=>ey,where:()=>_e,whereAsync:()=>ny,zeros:()=>Ne,zerosLike:()=>It});var $D=(r,t,e,n=ae)=>{switch(r.op){case\"BiasAdd\":case\"AddV2\":case\"Add\":return[n.add(v(\"a\",r,t,e),v(\"b\",r,t,e))];case\"AddN\":return[n.addN(v(\"tensors\",r,t,e))];case\"FloorMod\":case\"Mod\":return[n.mod(v(\"a\",r,t,e),v(\"b\",r,t,e))];case\"Mul\":return[n.mul(v(\"a\",r,t,e),v(\"b\",r,t,e))];case\"RealDiv\":case\"Div\":return[n.div(v(\"a\",r,t,e),v(\"b\",r,t,e))];case\"DivNoNan\":return[n.divNoNan(v(\"a\",r,t,e),v(\"b\",r,t,e))];case\"FloorDiv\":return[n.floorDiv(v(\"a\",r,t,e),v(\"b\",r,t,e))];case\"Sub\":return[n.sub(v(\"a\",r,t,e),v(\"b\",r,t,e))];case\"Minimum\":return[n.minimum(v(\"a\",r,t,e),v(\"b\",r,t,e))];case\"Maximum\":return[n.maximum(v(\"a\",r,t,e),v(\"b\",r,t,e))];case\"Pow\":return[n.pow(v(\"a\",r,t,e),v(\"b\",r,t,e))];case\"SquaredDifference\":return[n.squaredDifference(v(\"a\",r,t,e),v(\"b\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var DD=(r,t,e,n=ae)=>{switch(r.op){case\"Abs\":case\"ComplexAbs\":return[n.abs(v(\"x\",r,t,e))];case\"Acos\":return[n.acos(v(\"x\",r,t,e))];case\"Acosh\":return[n.acosh(v(\"x\",r,t,e))];case\"Asin\":return[n.asin(v(\"x\",r,t,e))];case\"Asinh\":return[n.asinh(v(\"x\",r,t,e))];case\"Atan\":return[n.atan(v(\"x\",r,t,e))];case\"Atan2\":return[n.atan2(v(\"x\",r,t,e),v(\"y\",r,t,e))];case\"Atanh\":return[n.atanh(v(\"x\",r,t,e))];case\"Ceil\":return[n.ceil(v(\"x\",r,t,e))];case\"Complex\":return[n.complex(v(\"real\",r,t,e),v(\"imag\",r,t,e))];case\"Cos\":return[n.cos(v(\"x\",r,t,e))];case\"Cosh\":return[n.cosh(v(\"x\",r,t,e))];case\"Elu\":return[n.elu(v(\"x\",r,t,e))];case\"Erf\":return[n.erf(v(\"x\",r,t,e))];case\"Exp\":return[n.exp(v(\"x\",r,t,e))];case\"Expm1\":return[n.expm1(v(\"x\",r,t,e))];case\"Floor\":return[n.floor(v(\"x\",r,t,e))];case\"Log\":return[n.log(v(\"x\",r,t,e))];case\"Log1p\":return[n.log1p(v(\"x\",r,t,e))];case\"Imag\":return[n.imag(v(\"x\",r,t,e))];case\"Neg\":return[n.neg(v(\"x\",r,t,e))];case\"Reciprocal\":return[n.reciprocal(v(\"x\",r,t,e))];case\"Real\":return[n.real(v(\"x\",r,t,e))];case\"Relu\":return[n.relu(v(\"x\",r,t,e))];case\"Round\":return[n.round(v(\"x\",r,t,e))];case\"Selu\":return[n.selu(v(\"x\",r,t,e))];case\"Sigmoid\":return[n.sigmoid(v(\"x\",r,t,e))];case\"Sin\":return[n.sin(v(\"x\",r,t,e))];case\"Sign\":return[n.sign(v(\"x\",r,t,e))];case\"Sinh\":return[n.sinh(v(\"x\",r,t,e))];case\"Softplus\":return[n.softplus(v(\"x\",r,t,e))];case\"Sqrt\":return[n.sqrt(v(\"x\",r,t,e))];case\"Square\":return[n.square(v(\"x\",r,t,e))];case\"Tanh\":return[n.tanh(v(\"x\",r,t,e))];case\"Tan\":return[n.tan(v(\"x\",r,t,e))];case\"ClipByValue\":return[n.clipByValue(v(\"x\",r,t,e),v(\"clipValueMin\",r,t,e),v(\"clipValueMax\",r,t,e))];case\"Relu6\":return[n.relu6(v(\"x\",r,t,e))];case\"Rsqrt\":return[n.rsqrt(yr(r.inputNames[0],t,e))];case\"Prod\":return[n.prod(v(\"x\",r,t,e),v(\"axes\",r,t,e))];case\"LeakyRelu\":return[n.leakyRelu(v(\"x\",r,t,e),v(\"alpha\",r,t,e))];case\"Prelu\":return[n.prelu(v(\"x\",r,t,e),v(\"alpha\",r,t,e))];case\"IsNan\":return[n.isNaN(yr(r.inputNames[0],t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function zn(r,t,e=\"\"){if(!(typeof r==\"number\"||typeof t==\"number\")){y.assert(r.length===t.length,()=>e+` Shapes ${r} and ${t} must match`);for(let n=0;ne+` Shapes ${r} and ${t} must match`)}}}function RD(r){return!(typeof r==\"number\"||r.some(t=>t<0))}function Uf(r,t,e){let n=Rb(r,e),o=!RD(n);if(o&&t.length===0)throw new Error(`Tried to calculate elements of an empty list with non-fully-defined elementShape: ${n}`);if(o&&t.forEach(s=>{n=Rb(s.shape,n)}),!RD(n))throw new Error(`Non-fully-defined elementShape: ${n}`);return n}function Rb(r,t){if(typeof r==\"number\")return t;if(typeof t==\"number\")return r;if(r.length!==t.length)throw new Error(`Incompatible ranks during merge: ${r} vs. ${t}`);let e=[];for(let n=0;n=0&&s>=0&&o!==s)throw new Error(`Incompatible shape during merge: ${r} vs. ${t}`);e[n]=o>=0?o:s}return e}var Fb=class{constructor(t,e,n,o,s,i,a){this.name=t,this.dtype=e,this.maxSize=n,this.elementShape=o,this.identicalElementShapes=s,this.dynamicSize=i,this.clearAfterRead=a,this.tensors=[],this.closed_=!1,this.idTensor=mt(0),De(this.idTensor)}get id(){return this.idTensor.id}get closed(){return this.closed_}clearAndClose(t){this.tensors.forEach(e=>{(t==null||!t.has(e.tensor.id))&&e.tensor.dispose()}),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}size(){return this.tensors.length}read(t){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(t<0||t>=this.size())throw new Error(`Tried to read from index ${t}, but array size is: ${this.size()}`);let e=this.tensors[t];if(e.cleared)throw new Error(`TensorArray ${this.name}: Could not read index ${t} twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).`);return this.clearAfterRead&&(e.cleared=!0),e.read=!0,e.tensor}readMany(t){return t.map(e=>this.read(e))}write(t,e){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(t<0||!this.dynamicSize&&t>=this.maxSize)throw new Error(`Tried to write to index ${t}, but array is not resizeable and size is: ${this.maxSize}`);let n=this.tensors[t]||{};if(e.dtype!==this.dtype)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${t},\n because the value dtype is ${e.dtype}, but TensorArray dtype is ${this.dtype}.`);if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=e.shape),zn(this.elementShape,e.shape,`TensorArray ${this.name}: Could not write to TensorArray index ${t}.`),n.read)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${t}, because it has already been read.`);if(n.written)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${t}, because it has already been written.`);n.tensor=e,De(e),n.written=!0,this.tensors[t]=n}writeMany(t,e){if(t.length!==e.length)throw new Error(`TensorArray ${this.name}: could not write multiple tensors,because the index size: ${t.length} is not the same as tensors size: ${e.length}.`);t.forEach((n,o)=>this.write(n,e[o]))}gather(t,e){if(!!e&&e!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but gather requested dtype ${e}`);if(t)t=t.slice(0,this.size());else{t=[];for(let o=0;o=this.maxSize)throw new Error(`Max index must be < array size (${n} vs. ${this.maxSize})`);this.writeMany(t,vr(e,0))}split(t,e){if(e.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${e.dtype}`);let n=0,o=t.map(u=>(n+=u,n));if(n!==e.shape[0])throw new Error(`Expected sum of lengths to be equal to\n tensor.shape[0], but sum of lengths is\n ${n}, and tensor's shape is: ${e.shape}`);if(!this.dynamicSize&&t.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${t.length}), and the TensorArray is not marked as dynamically resizeable`);let s=n===0?0:e.size/n,i=[];B(()=>{e=D(e,[1,n,s]);for(let u=0;u{if(n!==s.dtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${s.dtype}`);zn(e,s.shape,\"TensorList shape mismatch: \"),De(s)}),this.idTensor=mt(0),this.maxNumElements=o,De(this.idTensor)}get id(){return this.idTensor.id}copy(){return new cl([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(t){this.tensors.forEach(e=>{(t==null||!t.has(e.id))&&e.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(t,e,n=-1){if(e!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e}, but list elements ${this.elementDtype}`);if(n!==-1&&this.tensors.length!==n)throw new Error(`Operation expected a list with ${n} elements but got a list with ${this.tensors.length} elements.`);zn(t,this.elementShape,\"TensorList shape mismatch: \");let o=Uf(this.elementShape,this.tensors,t);return B(()=>{let s=this.tensors.map(i=>D(i,o));return rr(s,0)})}popBack(t,e){if(e!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e}, but list elements ${this.elementDtype}`);if(this.size()===0)throw new Error(\"Trying to pop from an empty list.\");let n=Uf(this.elementShape,this.tensors,t),o=this.tensors.pop();return o.kept=!1,zn(o.shape,t,\"TensorList shape mismatch: \"),D(o,n)}pushBack(t){if(t.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t.dtype}, but list elements ${this.elementDtype}`);if(zn(t.shape,this.elementShape,\"TensorList shape mismatch: \"),this.maxNumElements===this.size())throw new Error(\"Trying to push element into a full list.\");De(t),this.tensors.push(t)}resize(t){if(t<0)throw new Error(`TensorListResize expects size to be non-negative. Got: ${t}`);if(this.maxNumElements!==-1&&t>this.maxNumElements)throw new Error(`TensorListResize input size ${t} is greater maxNumElement ${this.maxNumElements}.`);let e=new cl([],this.elementShape,this.elementDtype,this.maxNumElements);e.tensors.length=t;for(let n=0;nthis.tensors.length)throw new Error(`Trying to access element ${t} in a list with ${this.tensors.length} elements.`);if(this.tensors[t]==null)throw new Error(`element at index ${t} is null.`);zn(this.tensors[t].shape,e,\"TensorList shape mismatch: \");let o=Uf(this.elementShape,this.tensors,e);return D(this.tensors[t],o)}setItem(t,e){if(e.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`);if(t<0||this.maxNumElements!==-1&&t>=this.maxNumElements)throw new Error(`Trying to set element ${t} in a list with max ${this.maxNumElements} elements.`);zn(this.elementShape,e.shape,\"TensorList shape mismatch: \"),De(e),this.tensors[t]!=null&&(this.tensors[t].kept=!1),this.tensors[t]=e}gather(t,e,n){if(e!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e}, but list elements ${this.elementDtype}`);zn(this.elementShape,n,\"TensorList shape mismatch: \"),t=t.slice(0,this.size());let o=Uf(this.elementShape,this.tensors,n);return t.length===0?wr([],[0].concat(o)):B(()=>{let s=t.map(i=>D(this.tensors[i],o));return rr(s,0)})}concat(t,e){if(!!t&&t!==this.elementDtype)throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${t}`);zn(this.elementShape,e,\"TensorList shape mismatch: \");let n=Uf(this.elementShape,this.tensors,e);return this.size()===0?wr([],[0].concat(n)):B(()=>{let o=this.tensors.map(s=>D(s,n));return ne(o,0)})}};function FD(r,t,e){let n=r.dtype;if(r.shape.length<1)throw new Error(`Tensor must be at least a vector, but saw shape: ${r.shape}`);if(r.dtype!==e)throw new Error(`Invalid data types; op elements ${r.dtype}, but list elements ${e}`);let o=r.shape.slice(1);zn(o,t,\"TensorList shape mismatch: \");let s=vr(r);return new cl(s,t,n)}function OD(r,t,e,n){return new cl([],r,t,n)}function PD(r,t,e,n){if(t.length!==r.shape[0])throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${t.length} vs. ${r.shape[0]}`);let o=Math.max(...t);if(n!=null&&n!==-1&&o>=n)throw new Error(`Max index must be < array size (${o} vs. ${n})`);let s=new cl([],e,r.dtype,n),i=vr(r,0);return t.forEach((a,u)=>{s.setItem(a,i[u])}),s}function LD(r,t,e){let n=0,o=t.map(c=>(n+=c,n));if(n!==r.shape[0])throw new Error(`Expected sum of lengths to be equal to\n tensor.shape[0], but sum of lengths is\n ${n}, and tensor's shape is: ${r.shape}`);let s=r.shape.slice(1),i=Rb(s,e),a=n===0?0:r.size/n,u=B(()=>{let c=[];r=D(r,[1,n,a]);for(let p=0;p{switch(r.op){case\"If\":case\"StatelessIf\":{let n=v(\"thenBranch\",r,t,e),o=v(\"elseBranch\",r,t,e),s=v(\"cond\",r,t,e),i=v(\"args\",r,t,e);return(await s.data())[0]?e.functionMap[n].executeFunctionAsync(i,e.tensorArrayMap,e.tensorListMap):e.functionMap[o].executeFunctionAsync(i,e.tensorArrayMap,e.tensorListMap)}case\"While\":case\"StatelessWhile\":{let n=v(\"body\",r,t,e),o=v(\"cond\",r,t,e),s=v(\"args\",r,t,e),i=await e.functionMap[o].executeFunctionAsync(s,e.tensorArrayMap,e.tensorListMap),a=s.map(c=>c.id),u=await i[0].data();i.forEach(c=>{!c.kept&&a.indexOf(c.id)===-1&&c.dispose()});let l=s;for(;u[0];){let c=l;l=await e.functionMap[n].executeFunctionAsync(l,e.tensorArrayMap,e.tensorListMap);let p=l.map(f=>f.id);c.forEach(f=>{!f.kept&&a.indexOf(f.id)===-1&&p.indexOf(f.id)===-1&&f.dispose()});let m=await e.functionMap[o].executeFunctionAsync(l,e.tensorArrayMap,e.tensorListMap);u=await m[0].data(),m.forEach(f=>{!f.kept&&a.indexOf(f.id)===-1&&p.indexOf(f.id)===-1&&f.dispose()})}return l}case\"LoopCond\":{let n=v(\"pred\",r,t,e);return[Xs(n)]}case\"Switch\":{let n=v(\"pred\",r,t,e),o=v(\"data\",r,t,e);return o.kept||(o=Xs(o)),(await n.data())[0]?[void 0,o]:[o,void 0]}case\"Merge\":{let n=r.inputNames.find(o=>yr(o,t,e)!==void 0);if(n){let o=yr(n,t,e);return[Xs(o)]}return}case\"Enter\":{let n=v(\"frameName\",r,t,e),o=v(\"tensor\",r,t,e);return e.enterFrame(n),[Xs(o)]}case\"Exit\":{let n=v(\"tensor\",r,t,e);return e.exitFrame(),[Xs(n)]}case\"NextIteration\":{let n=v(\"tensor\",r,t,e);return e.nextIteration(),[Xs(n)]}case\"TensorArrayV3\":{let n=v(\"size\",r,t,e),o=v(\"dtype\",r,t,e),s=v(\"elementShape\",r,t,e),i=v(\"dynamicSize\",r,t,e),a=v(\"clearAfterRead\",r,t,e),u=v(\"identicalElementShapes\",r,t,e),l=v(\"name\",r,t,e),c=new Fb(l,o,n,s,u,i,a);return e.addTensorArray(c),[c.idTensor,mt(1)]}case\"TensorArrayWriteV3\":{let n=v(\"tensorArrayId\",r,t,e),o=v(\"index\",r,t,e),s=v(\"tensor\",r,t,e),i=e.getTensorArray(n.id);return i.write(o,s),[i.idTensor]}case\"TensorArrayReadV3\":{let n=v(\"tensorArrayId\",r,t,e),o=v(\"index\",r,t,e);return[e.getTensorArray(n.id).read(o)]}case\"TensorArrayGatherV3\":{let n=v(\"tensorArrayId\",r,t,e),o=v(\"indices\",r,t,e),s=v(\"dtype\",r,t,e);return[e.getTensorArray(n.id).gather(o,s)]}case\"TensorArrayScatterV3\":{let n=v(\"tensorArrayId\",r,t,e),o=v(\"indices\",r,t,e),s=v(\"tensor\",r,t,e),i=e.getTensorArray(n.id);return i.scatter(o,s),[i.idTensor]}case\"TensorArrayConcatV3\":{let n=v(\"tensorArrayId\",r,t,e),o=e.getTensorArray(n.id),s=v(\"dtype\",r,t,e);return[o.concat(s)]}case\"TensorArraySplitV3\":{let n=v(\"tensorArrayId\",r,t,e),o=v(\"tensor\",r,t,e),s=v(\"lengths\",r,t,e),i=e.getTensorArray(n.id);return i.split(s,o),[i.idTensor]}case\"TensorArraySizeV3\":{let n=v(\"tensorArrayId\",r,t,e),o=e.getTensorArray(n.id);return[mt(o.size(),\"int32\")]}case\"TensorArrayCloseV3\":{let n=v(\"tensorArrayId\",r,t,e),o=e.getTensorArray(n.id);return o.clearAndClose(),[o.idTensor]}case\"TensorListSetItem\":{let n=v(\"tensorListId\",r,t,e),o=v(\"index\",r,t,e),s=v(\"tensor\",r,t,e),i=e.getTensorList(n.id);return i.setItem(o,s),[i.idTensor]}case\"TensorListGetItem\":{let n=v(\"tensorListId\",r,t,e),o=v(\"index\",r,t,e),s=v(\"elementShape\",r,t,e),i=v(\"elementDType\",r,t,e);return[e.getTensorList(n.id).getItem(o,s,i)]}case\"TensorListScatterV2\":case\"TensorListScatter\":{let n=v(\"indices\",r,t,e),o=v(\"tensor\",r,t,e),s=v(\"elementShape\",r,t,e),i=v(\"numElements\",r,t,e),a=PD(o,n,s,i);return e.addTensorList(a),[a.idTensor]}case\"TensorListReserve\":case\"EmptyTensorList\":{let n=v(\"elementShape\",r,t,e),o=v(\"elementDType\",r,t,e),s;r.op===\"TensorListReserve\"?s=\"numElements\":s=\"maxNumElements\";let i=v(s,r,t,e),a=r.op===\"TensorListReserve\"?-1:i,u=OD(n,o,i,a);return e.addTensorList(u),[u.idTensor]}case\"TensorListGather\":{let n=v(\"tensorListId\",r,t,e),o=v(\"indices\",r,t,e),s=v(\"elementShape\",r,t,e),i=v(\"elementDType\",r,t,e);return[e.getTensorList(n.id).gather(o,i,s)]}case\"TensorListStack\":{let n=v(\"tensorListId\",r,t,e),o=v(\"elementShape\",r,t,e),s=v(\"elementDType\",r,t,e),i=v(\"numElements\",r,t,e);return[e.getTensorList(n.id).stack(o,s,i)]}case\"TensorListFromTensor\":{let n=v(\"tensor\",r,t,e),o=v(\"elementShape\",r,t,e),s=v(\"elementDType\",r,t,e),i=FD(n,o,s);return e.addTensorList(i),[i.idTensor]}case\"TensorListConcat\":case\"TensorListConcatV2\":{let n=v(\"tensorListId\",r,t,e),o=e.getTensorList(n.id),s=v(\"dtype\",r,t,e),i=v(\"elementShape\",r,t,e);return[o.concat(s,i)]}case\"TensorListPushBack\":{let n=v(\"tensorListId\",r,t,e),o=v(\"tensor\",r,t,e),s=e.getTensorList(n.id);return s.pushBack(o),[s.idTensor]}case\"TensorListPopBack\":{let n=v(\"tensorListId\",r,t,e),o=v(\"elementShape\",r,t,e),s=v(\"elementDType\",r,t,e);return[e.getTensorList(n.id).popBack(o,s)]}case\"TensorListSplit\":{let n=v(\"tensor\",r,t,e),o=v(\"elementShape\",r,t,e),s=v(\"lengths\",r,t,e),i=LD(n,s,o);return e.addTensorList(i),[i.idTensor]}case\"TensorListLength\":{let n=v(\"tensorListId\",r,t,e),o=e.getTensorList(n.id);return[mt(o.size(),\"int32\")]}case\"TensorListResize\":{let n=v(\"tensorListId\",r,t,e),o=v(\"size\",r,t,e),i=e.getTensorList(n.id).resize(o);return e.addTensorList(i),[i.idTensor]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};function zD(r,t,e){let[n,o]=v(\"fusedOps\",r,t,e),s=n===\"biasadd\",i=!s,a=o===\"prelu\",u=n===\"fusedbatchnorm\",l=v(\"numArgs\",r,t,e);if(s){if(a&&l!==2)throw new Error(\"FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.\");if(!a&&s&&l!==1)throw new Error(\"FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.\")}if(u)throw new Error(\"FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported\");let c=v(\"strides\",r,t,e),p=Eh(r,t,e),m=v(\"dataFormat\",r,t,e).toUpperCase(),f=v(\"dilations\",r,t,e),[d,h]=v(\"args\",r,t,e);i&&(h=d,d=void 0);let g=v(\"leakyreluAlpha\",r,t,e);return{stride:c,pad:p,dataFormat:m,dilations:f,biasArg:d,preluArg:h,activationFunc:o,leakyreluAlpha:g}}var BD=(r,t,e,n=ae)=>{switch(r.op){case\"Conv1D\":{let o=v(\"stride\",r,t,e),s=v(\"pad\",r,t,e),i=v(\"dataFormat\",r,t,e).toUpperCase(),a=v(\"dilation\",r,t,e);return[n.conv1d(v(\"x\",r,t,e),v(\"filter\",r,t,e),o,s,i,a)]}case\"Conv2D\":{let o=v(\"strides\",r,t,e),s=Eh(r,t,e),i=v(\"dataFormat\",r,t,e).toUpperCase(),a=v(\"dilations\",r,t,e);return[n.conv2d(v(\"x\",r,t,e),v(\"filter\",r,t,e),[o[1],o[2]],s,i,[a[1],a[2]])]}case\"_FusedConv2D\":{let{stride:o,pad:s,dataFormat:i,dilations:a,biasArg:u,preluArg:l,activationFunc:c,leakyreluAlpha:p}=zD(r,t,e);return[n.fused.conv2d({x:v(\"x\",r,t,e),filter:v(\"filter\",r,t,e),strides:[o[1],o[2]],pad:s,dataFormat:i,dilations:[a[1],a[2]],bias:u,activation:c,preluActivationWeights:l,leakyreluAlpha:p})]}case\"FusedDepthwiseConv2dNative\":{let{stride:o,pad:s,dataFormat:i,dilations:a,biasArg:u,preluArg:l,activationFunc:c,leakyreluAlpha:p}=zD(r,t,e);return[n.fused.depthwiseConv2d({x:v(\"x\",r,t,e),filter:v(\"filter\",r,t,e),strides:[o[1],o[2]],pad:s,dataFormat:i,dilations:[a[1],a[2]],bias:u,activation:c,preluActivationWeights:l,leakyreluAlpha:p})]}case\"Conv2DBackpropInput\":case\"Conv2dTranspose\":{let o=v(\"outputShape\",r,t,e),s=v(\"strides\",r,t,e),i=Eh(r,t,e);return[n.conv2dTranspose(v(\"x\",r,t,e),v(\"filter\",r,t,e),o,[s[1],s[2]],i)]}case\"DepthwiseConv2dNative\":case\"DepthwiseConv2d\":{let o=v(\"strides\",r,t,e),s=Eh(r,t,e),i=v(\"dilations\",r,t,e),a=v(\"dataFormat\",r,t,e).toUpperCase();return[n.depthwiseConv2d(v(\"input\",r,t,e),v(\"filter\",r,t,e),[o[1],o[2]],s,a,[i[1],i[2]])]}case\"Conv3D\":{let o=v(\"strides\",r,t,e),s=v(\"pad\",r,t,e),i=v(\"dataFormat\",r,t,e).toUpperCase(),a=v(\"dilations\",r,t,e);return[n.conv3d(v(\"x\",r,t,e),v(\"filter\",r,t,e),[o[1],o[2],o[3]],s,i,[a[1],a[2],a[3]])]}case\"AvgPool\":{let o=v(\"strides\",r,t,e),s=v(\"pad\",r,t,e),i=v(\"kernelSize\",r,t,e);return[n.avgPool(v(\"x\",r,t,e),[i[1],i[2]],[o[1],o[2]],s)]}case\"MaxPool\":{let o=v(\"strides\",r,t,e),s=v(\"pad\",r,t,e),i=v(\"kernelSize\",r,t,e);return[n.maxPool(v(\"x\",r,t,e),[i[1],i[2]],[o[1],o[2]],s)]}case\"MaxPoolWithArgmax\":{let o=v(\"strides\",r,t,e),s=v(\"pad\",r,t,e),i=v(\"kernelSize\",r,t,e),a=v(\"includeBatchInIndex\",r,t,e),{result:u,indexes:l}=n.maxPoolWithArgmax(v(\"x\",r,t,e),[i[1],i[2]],[o[1],o[2]],s,a);return[u,l]}case\"AvgPool3D\":{let o=v(\"strides\",r,t,e),s=v(\"pad\",r,t,e),i=v(\"kernelSize\",r,t,e);return[n.avgPool3d(v(\"x\",r,t,e),[i[1],i[2],i[3]],[o[1],o[2],o[3]],s)]}case\"MaxPool3D\":{let o=v(\"strides\",r,t,e),s=v(\"pad\",r,t,e),i=v(\"kernelSize\",r,t,e);return[n.maxPool3d(v(\"x\",r,t,e),[i[1],i[2],i[3]],[o[1],o[2],o[3]],s)]}case\"Dilation2D\":{let o=v(\"strides\",r,t,e),s=v(\"pad\",r,t,e),i=v(\"dilations\",r,t,e),a=o[1],u=o[2],l=i[1],c=i[2];return[n.dilation2d(v(\"x\",r,t,e),v(\"filter\",r,t,e),[a,u],s,[l,c],\"NHWC\")]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var VD=(r,t,e,n=ae)=>{switch(r.op){case\"Fill\":{let o=v(\"shape\",r,t,e),s=v(\"dtype\",r,t,e),i=v(\"value\",r,t,e);return[n.fill(o,i,s)]}case\"LinSpace\":{let o=v(\"start\",r,t,e),s=v(\"stop\",r,t,e),i=v(\"num\",r,t,e);return[n.linspace(o,s,i)]}case\"Multinomial\":{let o=v(\"logits\",r,t,e),s=v(\"numSamples\",r,t,e),i=v(\"seed\",r,t,e);return[n.multinomial(o,s,i)]}case\"OneHot\":{let o=v(\"indices\",r,t,e),s=v(\"depth\",r,t,e),i=v(\"onValue\",r,t,e),a=v(\"offValue\",r,t,e),u=v(\"dtype\",r,t,e);return[n.oneHot(o,s,i,a,u)]}case\"Ones\":return[n.ones(v(\"shape\",r,t,e),v(\"dtype\",r,t,e))];case\"OnesLike\":return[n.onesLike(v(\"x\",r,t,e))];case\"RandomStandardNormal\":return[n.randomStandardNormal(v(\"shape\",r,t,e),v(\"dtype\",r,t,e),v(\"seed\",r,t,e))];case\"RandomUniform\":return[n.randomUniform(v(\"shape\",r,t,e),v(\"minval\",r,t,e),v(\"maxval\",r,t,e),v(\"dtype\",r,t,e))];case\"Range\":{let o=v(\"start\",r,t,e),s=v(\"stop\",r,t,e),i=v(\"step\",r,t,e);return[n.range(o,s,i,v(\"dtype\",r,t,e))]}case\"TruncatedNormal\":{let o=v(\"shape\",r,t,e),s=v(\"mean\",r,t,e),i=v(\"stdDev\",r,t,e),a=v(\"seed\",r,t,e);return[n.truncatedNormal(o,s,i,v(\"dtype\",r,t,e),a)]}case\"Zeros\":return[n.zeros(v(\"shape\",r,t,e),v(\"dtype\",r,t,e))];case\"ZerosLike\":return[n.zerosLike(v(\"x\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function aN(r,t,e){let n=v(\"boxes\",r,t,e),o=v(\"scores\",r,t,e),s=v(\"maxOutputSize\",r,t,e),i=v(\"iouThreshold\",r,t,e),a=v(\"scoreThreshold\",r,t,e),u=v(\"softNmsSigma\",r,t,e);return{boxes:n,scores:o,maxOutputSize:s,iouThreshold:i,scoreThreshold:a,softNmsSigma:u}}var GD=async(r,t,e,n,o=ae)=>{switch(r.op){case\"NonMaxSuppressionV5\":{let{boxes:s,scores:i,maxOutputSize:a,iouThreshold:u,scoreThreshold:l,softNmsSigma:c}=aN(r,t,e),p=await o.image.nonMaxSuppressionWithScoreAsync(s,i,a,u,l,c);return[p.selectedIndices,p.selectedScores]}case\"NonMaxSuppressionV4\":{let{boxes:s,scores:i,maxOutputSize:a,iouThreshold:u,scoreThreshold:l}=aN(r,t,e),c=v(\"padToMaxOutputSize\",r,t,e),p=await o.image.nonMaxSuppressionPaddedAsync(s,i,a,u,l,c);return[p.selectedIndices,p.validOutputs]}case\"NonMaxSuppressionV3\":case\"NonMaxSuppressionV2\":{let{boxes:s,scores:i,maxOutputSize:a,iouThreshold:u,scoreThreshold:l}=aN(r,t,e);return[await o.image.nonMaxSuppressionAsync(s,i,a,u,l)]}case\"Where\":{let s=o.cast(v(\"condition\",r,t,e),\"bool\"),i=[await o.whereAsync(s)];return s.dispose(),i}case\"ListDiff\":return o.setdiff1dAsync(v(\"x\",r,t,e),v(\"y\",r,t,e));default:throw TypeError(`Node type ${r.op} is not implemented`)}};var WD=(r,t,e,n=ae)=>{switch(r.op){case\"LowerBound\":{let o=v(\"sortedSequence\",r,t,e),s=v(\"values\",r,t,e);return[n.lowerBound(o,s)]}case\"TopKV2\":{let o=v(\"x\",r,t,e),s=v(\"k\",r,t,e),i=v(\"sorted\",r,t,e),a=n.topk(o,s,i);return[a.values,a.indices]}case\"UpperBound\":{let o=v(\"sortedSequence\",r,t,e),s=v(\"values\",r,t,e);return[n.upperBound(o,s)]}case\"Unique\":{let o=v(\"x\",r,t,e),s=n.unique(o);return[s.values,s.indices]}case\"UniqueV2\":{let o=v(\"x\",r,t,e),s=v(\"axis\",r,t,e),i=n.unique(o,s);return[i.values,i.indices]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var UD=(r,t,e,n=ae)=>{switch(r.op){case\"Const\":return t[r.name];case\"PlaceholderWithDefault\":let o=v(\"default\",r,t,e);return[yr(r.name,t,e)||o];case\"Placeholder\":return[yr(r.name,t,e)];case\"Identity\":case\"StopGradient\":case\"FakeQuantWithMinMaxVars\":{let c=v(\"x\",r,t,e);return[Xs(c)]}case\"IdentityN\":return v(\"x\",r,t,e).map(c=>Xs(c));case\"Snapshot\":let s=v(\"x\",r,t,e);return[Xs(s)];case\"Shape\":return[n.tensor1d(v(\"x\",r,t,e).shape,\"int32\")];case\"ShapeN\":return v(\"x\",r,t,e).map(c=>n.tensor1d(c.shape));case\"Size\":return[n.scalar(v(\"x\",r,t,e).size,\"int32\")];case\"Rank\":return[n.scalar(v(\"x\",r,t,e).rank,\"int32\")];case\"NoOp\":return[n.scalar(1)];case\"Print\":let i=v(\"x\",r,t,e),a=v(\"data\",r,t,e),u=v(\"message\",r,t,e),l=v(\"summarize\",r,t,e);console.warn(\"The graph has a tf.print() operation,usually used for debugging, which slows down performance.\"),console.log(u);for(let c=0;ct.dispose()),this.tensorMap.clear(),this.handle.dispose()}size(){return this.tensorMap.size}tensorSize(){return mt(this.size(),\"int32\")}async import(t,e){this.checkKeyAndValueTensor(t,e);let n=await t.data();return this.tensorMap.forEach(o=>o.dispose()),this.tensorMap.clear(),B(()=>{let o=vr(e),s=n.length,i=o.length;y.assert(s===i,()=>`The number of elements doesn't match, keys has ${s} elements, the values has ${i} elements.`);for(let a=0;a{let o=[];for(let s=0;s{switch(r.op){case\"HashTable\":case\"HashTableV2\":{let o=v(\"keyDType\",r,t,e),s=v(\"valueDType\",r,t,e),i=new Ob(o,s);return n.addHashTable(r.name,i),[i.handle]}case\"LookupTableImport\":case\"LookupTableImportV2\":{let o=v(\"tableHandle\",r,t,e,n),s=v(\"keys\",r,t,e),i=v(\"values\",r,t,e);return[await n.getHashTableById(o.id).import(s,i)]}case\"LookupTableFind\":case\"LookupTableFindV2\":{let o=v(\"tableHandle\",r,t,e,n),s=v(\"keys\",r,t,e),i=v(\"defaultValue\",r,t,e);return[await n.getHashTableById(o.id).find(s,i)]}case\"LookupTableSize\":case\"LookupTableSizeV2\":{let o=v(\"tableHandle\",r,t,e,n);return[n.getHashTableById(o.id).tensorSize()]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var qD=(r,t,e,n=ae)=>{switch(r.op){case\"ResizeBilinear\":{let o=v(\"images\",r,t,e),s=v(\"size\",r,t,e),i=v(\"alignCorners\",r,t,e),a=v(\"halfPixelCenters\",r,t,e);return[n.image.resizeBilinear(o,[s[0],s[1]],i,a)]}case\"ResizeNearestNeighbor\":{let o=v(\"images\",r,t,e),s=v(\"size\",r,t,e),i=v(\"alignCorners\",r,t,e),a=v(\"halfPixelCenters\",r,t,e);return[n.image.resizeNearestNeighbor(o,[s[0],s[1]],i,a)]}case\"CropAndResize\":{let o=v(\"image\",r,t,e),s=v(\"boxes\",r,t,e),i=v(\"boxInd\",r,t,e),a=v(\"cropSize\",r,t,e),u=v(\"method\",r,t,e),l=v(\"extrapolationValue\",r,t,e);return[n.image.cropAndResize(o,s,i,a,u,l)]}case\"ImageProjectiveTransformV3\":{let o=v(\"images\",r,t,e),s=v(\"transforms\",r,t,e),i=v(\"outputShape\",r,t,e),a=v(\"fillValue\",r,t,e),u=v(\"interpolation\",r,t,e),l=v(\"fillMode\",r,t,e);return[n.image.transform(o,s,u.toLowerCase(),l.toLowerCase(),a,i)]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var KD=(r,t,e,n=ae)=>{switch(r.op){case\"Equal\":return[n.equal(v(\"a\",r,t,e),v(\"b\",r,t,e))];case\"NotEqual\":return[n.notEqual(v(\"a\",r,t,e),v(\"b\",r,t,e))];case\"Greater\":return[n.greater(v(\"a\",r,t,e),v(\"b\",r,t,e))];case\"GreaterEqual\":return[n.greaterEqual(v(\"a\",r,t,e),v(\"b\",r,t,e))];case\"Less\":return[n.less(v(\"a\",r,t,e),v(\"b\",r,t,e))];case\"LessEqual\":return[n.lessEqual(v(\"a\",r,t,e),v(\"b\",r,t,e))];case\"LogicalAnd\":return[n.logicalAnd(v(\"a\",r,t,e),v(\"b\",r,t,e))];case\"LogicalNot\":return[n.logicalNot(v(\"a\",r,t,e))];case\"LogicalOr\":return[n.logicalOr(v(\"a\",r,t,e),v(\"b\",r,t,e))];case\"Select\":case\"SelectV2\":return[n.where(v(\"condition\",r,t,e),v(\"a\",r,t,e),v(\"b\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var jD=(r,t,e,n=ae)=>{switch(r.op){case\"BatchMatMul\":case\"BatchMatMulV2\":case\"MatMul\":return[n.matMul(v(\"a\",r,t,e),v(\"b\",r,t,e),v(\"transposeA\",r,t,e),v(\"transposeB\",r,t,e))];case\"Einsum\":return[n.einsum(v(\"equation\",r,t,e),...v(\"tensors\",r,t,e))];case\"Transpose\":return[n.transpose(v(\"x\",r,t,e),v(\"perm\",r,t,e))];case\"_FusedMatMul\":let[o,s]=v(\"fusedOps\",r,t,e),i=o===\"biasadd\",a=s===\"prelu\",u=v(\"numArgs\",r,t,e),l=v(\"leakyreluAlpha\",r,t,e);if(i){if(a&&u!==2)throw new Error(\"Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.\");if(!a&&u!==1)throw new Error(\"Fused MatMul with BiasAdd must have one extra argument: bias.\")}let[c,p]=v(\"args\",r,t,e);return[n.fused.matMul({a:v(\"a\",r,t,e),b:v(\"b\",r,t,e),transposeA:v(\"transposeA\",r,t,e),transposeB:v(\"transposeB\",r,t,e),bias:c,activation:s,preluActivationWeights:p,leakyreluAlpha:l})];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var XD=(r,t,e,n=ae)=>{switch(r.op){case\"EuclideanNorm\":return[n.euclideanNorm(v(\"x\",r,t,e),v(\"axis\",r,t,e),v(\"keepDims\",r,t,e))];case\"FusedBatchNorm\":case\"FusedBatchNormV2\":return[n.batchNorm(v(\"x\",r,t,e),v(\"mean\",r,t,e),v(\"variance\",r,t,e),v(\"offset\",r,t,e),v(\"scale\",r,t,e),v(\"epsilon\",r,t,e))];case\"FusedBatchNormV3\":return[n.batchNorm(v(\"x\",r,t,e),v(\"mean\",r,t,e),v(\"variance\",r,t,e),v(\"offset\",r,t,e),v(\"scale\",r,t,e),v(\"epsilon\",r,t,e))];case\"LRN\":return[n.localResponseNormalization(v(\"x\",r,t,e),v(\"radius\",r,t,e),v(\"bias\",r,t,e),v(\"alpha\",r,t,e),v(\"beta\",r,t,e))];case\"Softmax\":return[n.softmax(v(\"x\",r,t,e))];case\"LogSoftmax\":return[n.logSoftmax(v(\"x\",r,t,e))];case\"SparseToDense\":return[n.sparseToDense(v(\"sparseIndices\",r,t,e),v(\"outputShape\",r,t,e),v(\"sparseValues\",r,t,e),v(\"defaultValue\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var YD=(r,t,e,n=ae)=>{switch(r.op){case\"Max\":{let a=v(\"axis\",r,t,e),u=v(\"keepDims\",r,t,e);return[n.max(v(\"x\",r,t,e),a,u)]}case\"Mean\":{let a=v(\"axis\",r,t,e),u=v(\"keepDims\",r,t,e);return[n.mean(v(\"x\",r,t,e),a,u)]}case\"Min\":{let a=v(\"axis\",r,t,e),u=v(\"keepDims\",r,t,e);return[n.min(v(\"x\",r,t,e),a,u)]}case\"Sum\":{let a=v(\"axis\",r,t,e),u=v(\"keepDims\",r,t,e);return[n.sum(v(\"x\",r,t,e),a,u)]}case\"All\":{let a=v(\"axis\",r,t,e),u=v(\"keepDims\",r,t,e);return[n.all(v(\"x\",r,t,e),a,u)]}case\"Any\":{let a=v(\"axis\",r,t,e),u=v(\"keepDims\",r,t,e);return[n.any(v(\"x\",r,t,e),a,u)]}case\"ArgMax\":{let a=v(\"axis\",r,t,e);return[n.argMax(v(\"x\",r,t,e),a)]}case\"ArgMin\":{let a=v(\"axis\",r,t,e);return[n.argMin(v(\"x\",r,t,e),a)]}case\"Prod\":{let a=v(\"axis\",r,t,e),u=v(\"keepDims\",r,t,e);return[n.prod(v(\"x\",r,t,e),a,u)]}case\"Cumprod\":{let a=v(\"axis\",r,t,e),u=v(\"exclusive\",r,t,e),l=v(\"reverse\",r,t,e);return[n.cumprod(v(\"x\",r,t,e),a,u,l)]}case\"Cumsum\":{let a=v(\"axis\",r,t,e),u=v(\"exclusive\",r,t,e),l=v(\"reverse\",r,t,e);return[n.cumsum(v(\"x\",r,t,e),a,u,l)]}case\"Bincount\":let o=v(\"x\",r,t,e),s=v(\"weights\",r,t,e),i=v(\"size\",r,t,e);return[n.bincount(o,s,i)];case\"DenseBincount\":{let a=v(\"x\",r,t,e),u=v(\"weights\",r,t,e),l=v(\"size\",r,t,e),c=v(\"binaryOutput\",r,t,e);return[n.denseBincount(a,u,l,c)]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var ZD=(r,t,e,n=ae)=>{switch(r.op){case\"ConcatV2\":case\"Concat\":{let o=v(\"n\",r,t,e),s=v(\"axis\",r,t,e),i=v(\"tensors\",r,t,e);return i=i.slice(0,o),[n.concat(i,s)]}case\"Gather\":{let o=v(\"x\",r,t,e),s=v(\"indices\",r,t,e);return[n.gather(o,n.cast(s,\"int32\"),0)]}case\"GatherV2\":{let o=v(\"axis\",r,t,e),s=v(\"batchDims\",r,t,e),i=v(\"x\",r,t,e),a=v(\"indices\",r,t,e);return[n.gather(i,n.cast(a,\"int32\"),o,s)]}case\"Reverse\":{let o=v(\"dims\",r,t,e),s=[];for(let a=0;a{let o=v(\"axis\",r,t,e),s=v(\"tensors\",r,t,e),i=s[0].shape,a=n.squeeze(s[0]).shape,u=s.map(l=>{let c=y.arraysEqual(l.shape,i);if(!c&&!y.arraysEqual(n.squeeze(l).shape,a))throw new Error(\"the input tensors shape does not match\");return c?l:n.reshape(l,i)});return[n.stack(u,o)]});case\"Unpack\":{let o=v(\"axis\",r,t,e),s=v(\"tensor\",r,t,e);return n.unstack(s,o)}case\"Tile\":{let o=v(\"reps\",r,t,e);return[n.tile(v(\"x\",r,t,e),o)]}case\"Split\":case\"SplitV\":{let o=v(\"axis\",r,t,e),s=v(\"numOrSizeSplits\",r,t,e),i=v(\"x\",r,t,e);return n.split(i,s,o)}case\"ScatterNd\":{let o=v(\"indices\",r,t,e),s=v(\"values\",r,t,e),i=v(\"shape\",r,t,e);return[n.scatterND(o,s,i)]}case\"GatherNd\":{let o=v(\"x\",r,t,e),s=v(\"indices\",r,t,e);return[n.gatherND(o,s)]}case\"SparseToDense\":{let o=v(\"sparseIndices\",r,t,e),s=v(\"outputShape\",r,t,e),i=v(\"sparseValues\",r,t,e),a=v(\"defaultValue\",r,t,e);return[n.sparseToDense(o,i,s,i.dtype===a.dtype?a:n.cast(a,i.dtype))]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var JD=(r,t,e,n=ae)=>{switch(r.op){case\"SparseFillEmptyRows\":{let{outputIndices:o,outputValues:s,emptyRowIndicator:i,reverseIndexMap:a}=n.sparse.sparseFillEmptyRows(v(\"indices\",r,t,e),v(\"values\",r,t,e),v(\"denseShape\",r,t,e),v(\"defaultValue\",r,t,e));return[o,s,i,a]}case\"SparseReshape\":{let{outputIndices:o,outputShape:s}=n.sparse.sparseReshape(v(\"inputIndices\",r,t,e),v(\"inputShape\",r,t,e),v(\"newShape\",r,t,e));return[o,s]}case\"SparseSegmentMean\":return[n.sparse.sparseSegmentMean(v(\"data\",r,t,e),v(\"indices\",r,t,e),v(\"segmentIds\",r,t,e))];case\"SparseSegmentSum\":return[n.sparse.sparseSegmentSum(v(\"data\",r,t,e),v(\"indices\",r,t,e),v(\"segmentIds\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var QD=(r,t,e,n=ae)=>{switch(r.op){case\"FFT\":return[n.fft(v(\"x\",r,t,e))];case\"IFFT\":return[n.ifft(v(\"x\",r,t,e))];case\"RFFT\":return[n.rfft(v(\"x\",r,t,e))];case\"IRFFT\":return[n.irfft(v(\"x\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var tR=(r,t,e,n=ae)=>{switch(r.op){case\"StringNGrams\":{let{nGrams:o,nGramsSplits:s}=n.string.stringNGrams(v(\"data\",r,t,e),v(\"dataSplits\",r,t,e),v(\"separator\",r,t,e),v(\"nGramWidths\",r,t,e),v(\"leftPad\",r,t,e),v(\"rightPad\",r,t,e),v(\"padWidth\",r,t,e),v(\"preserveShortSequences\",r,t,e));return[o,s]}case\"StringSplit\":{let{indices:o,values:s,shape:i}=n.string.stringSplit(v(\"input\",r,t,e),v(\"delimiter\",r,t,e),v(\"skipEmpty\",r,t,e));return[o,s,i]}case\"StringToHashBucketFast\":return[n.string.stringToHashBucketFast(v(\"input\",r,t,e),v(\"numBuckets\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var eR=(r,t,e,n=ae)=>{switch(r.op){case\"Cast\":return[n.cast(v(\"x\",r,t,e),v(\"dtype\",r,t,e))];case\"ExpandDims\":{let o=v(\"axis\",r,t,e);return[n.expandDims(v(\"x\",r,t,e),o)]}case\"Squeeze\":{let o=v(\"axis\",r,t,e);return[n.squeeze(v(\"x\",r,t,e),o)]}case\"Reshape\":return[n.reshape(v(\"x\",r,t,e),v(\"shape\",r,t,e))];case\"MirrorPad\":return[n.mirrorPad(v(\"x\",r,t,e),v(\"padding\",r,t,e),v(\"mode\",r,t,e))];case\"PadV2\":case\"Pad\":return[n.pad(v(\"x\",r,t,e),v(\"padding\",r,t,e),v(\"constantValue\",r,t,e))];case\"SpaceToBatchND\":{let o=v(\"blockShape\",r,t,e),s=v(\"paddings\",r,t,e);return[n.spaceToBatchND(v(\"x\",r,t,e),o,s)]}case\"BatchToSpaceND\":{let o=v(\"blockShape\",r,t,e),s=v(\"crops\",r,t,e);return[n.batchToSpaceND(v(\"x\",r,t,e),o,s)]}case\"DepthToSpace\":{let o=v(\"blockSize\",r,t,e),s=v(\"dataFormat\",r,t,e).toUpperCase();return[n.depthToSpace(v(\"x\",r,t,e),o,s)]}case\"BroadcastTo\":return[n.broadcastTo(v(\"x\",r,t,e),v(\"shape\",r,t,e))];case\"BroadcastArgs\":return[n.broadcastArgs(v(\"s0\",r,t,e),v(\"s1\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function lN(r,t,e,n,o=B){let s=((i,a,u)=>{switch(i.category){case\"arithmetic\":return o(()=>$D(i,a,u));case\"basic_math\":return o(()=>DD(i,a,u));case\"control\":return MD(i,a,u);case\"convolution\":return o(()=>BD(i,a,u));case\"creation\":return o(()=>VD(i,a,u));case\"dynamic\":return GD(i,a,u);case\"evaluation\":return o(()=>WD(i,a,u));case\"image\":return o(()=>qD(i,a,u));case\"graph\":return o(()=>UD(i,a,u));case\"logical\":return o(()=>KD(i,a,u));case\"matrices\":return o(()=>jD(i,a,u));case\"normalization\":return o(()=>XD(i,a,u));case\"reduction\":return o(()=>YD(i,a,u));case\"slice_join\":return o(()=>ZD(i,a,u));case\"sparse\":return o(()=>JD(i,a,u));case\"spectral\":return o(()=>QD(i,a,u));case\"string\":return o(()=>tR(i,a,u));case\"transformation\":return o(()=>eR(i,a,u));case\"hash_table\":return HD(i,a,u,n);case\"custom\":let l=wb(i.op);if(l&&l.customExecutor)return l.customExecutor(new Db(i,a,u));throw TypeError(`Custom op ${i.op} is not registered.`);default:throw TypeError(`Unknown op '${i.op}'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()`)}})(r,t,e);return y.isPromise(s)?s.then(i=>[].concat(i)):[].concat(s)}var Ah=class{constructor(t={},e={},n={},o={}){this.weightMap=t,this.tensorArrayMap=e,this.tensorListMap=n,this.functionMap=o,this.rootContext={id:0,frameName:\"\",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}newFrame(t,e){return{id:t,frameName:e,iterationId:0}}set currentContext(t){this.contexts!==t&&(this.contexts=t,this.generateCurrentContextIds())}get currentContext(){return this.contexts}get currentContextId(){return this._currentContextIds[0]}get currentContextIds(){return this._currentContextIds}generateCurrentContextIds(){let t=[];for(let e=0;ee.id===0&&e.iterationId===0?\"\":`${e.frameName}-${e.iterationId}`).join(\"/\"):\"\"}enterFrame(t){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,t)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}exitFrame(){if(this.contexts&&this.contexts.length>1)this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift();else throw new Error(\"Cannot exit frame, the context is empty\")}nextIteration(){if(this.contexts&&this.contexts.length>0){this.contexts=this.contexts.slice(),this.lastId++;let t=Object.assign({},this.contexts[this.contexts.length-1]);t.iterationId+=1,t.id=this.lastId,this.contexts.splice(-1,1,t),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}else throw new Error(\"Cannot increase frame iteration, the context is empty\")}getWeight(t){return this.weightMap[t]}addTensorArray(t){this.tensorArrayMap[t.id]=t}getTensorArray(t){return this.tensorArrayMap[t]}addTensorList(t){this.tensorListMap[t.id]=t}getTensorList(t){return this.tensorListMap[t]}dispose(t){for(let e in this.tensorArrayMap)this.tensorArrayMap[e].clearAndClose(t);for(let e in this.tensorListMap)this.tensorListMap[e].clearAndClose(t)}};function uN(r,t,e,n){let o=new Set,s=[],i=null,a=null,u=new Set,l=Object.keys(r).map(m=>gn(m)[0]),c=[];n!=null&&(c=n.map(m=>gn(m.name)[0]));let p=[...t];for(;p.length>0;){let m=p.pop();if((cN(m)||y7(m)||b7(m))&&i==null&&(i=m,a=i.children.map(f=>f.name).filter(f=>o.has(f))),o.add(m.name),e[m.name]==null&&l.indexOf(m.name)===-1&&c.indexOf(m.name)===-1){if(m.inputs.length===0){s.push(m.name);continue}m.inputs.forEach(f=>{u.has(f.name)||(u.add(f.name),p.push(f))})}}return{inputs:r,outputs:t,usedNodes:o,missingInputs:s,dynamicNode:i,syncInputs:a}}function rR(r,t,e){let{usedNodes:n,inputs:o}=e,s=[],i=Object.keys(o).map(c=>gn(c)[0]).map(c=>r.nodes[c]),a=r.initNodes;i.forEach(c=>{n.has(c.name)&&s.push(c)}),r.weights.forEach(c=>{n.has(c.name)&&s.push(c)}),a!=null&&a.forEach(c=>{n.has(c.name)&&s.push(c)});let u=new Set,l=[];for(;s.length>0;){let c=s.pop();u.add(c.name),t[c.name]||l.push(c),c.children.forEach(p=>{!u.has(p.name)&&n.has(p.name)&&p.inputs.every(m=>u.has(m.name))&&s.push(p)})}return l}var h7=[\"Switch\",\"Merge\",\"Enter\",\"Exit\",\"NextIteration\",\"StatelessIf\",\"StatelessWhile\",\"if\",\"While\"],g7=[\"NonMaxSuppressionV2\",\"NonMaxSuppressionV3\",\"NonMaxSuppressionV5\",\"Where\"],x7=[\"HashTable\",\"HashTableV2\",\"LookupTableImport\",\"LookupTableImportV2\",\"LookupTableFind\",\"LookupTableFindV2\",\"LookupTableSize\",\"LookupTableSizeV2\"];function cN(r){return h7.indexOf(r.op)>=0}function y7(r){return g7.indexOf(r.op)>=0}function b7(r){return x7.indexOf(r.op)>=0}var Nc=class{constructor(t,e){this.graph=t,this.parent=e,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=\",\",this._functions={},this._functionExecutorMap={},this.intermediateTensors={},this.keepTensorForDebug=!1,this._outputs=t.outputs,this._inputs=t.inputs,this._initNodes=t.initNodes,this._signature=t.signature,this._functions=t.functions,t.functions!=null&&Object.keys(t.functions).forEach(n=>{this._functionExecutorMap[n]=new Nc(t.functions[n],this)})}get weightIds(){return this.parent?this.parent.weightIds:this._weightIds}get functionExecutorMap(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}get weightMap(){return this.parent?this.parent.weightMap:this._weightMap}set weightMap(t){let e=Object.keys(t).map(n=>t[n].map(o=>o.id));this._weightIds=[].concat(...e),this._weightMap=t}set resourceManager(t){this._resourceManager=t}get inputs(){return this._inputs.map(t=>({name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}))}get outputs(){return this._outputs.map(t=>({name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}))}get inputNodes(){return this._inputs.map(t=>t.signatureKey||t.name)}get outputNodes(){return this._outputs.map(t=>{let e=t.signatureKey||t.name;return t.defaultOutput?`${e}:${t.defaultOutput}`:e})}get functions(){return Object.keys(this._functions).reduce((t,e)=>(t[e]=this._functions[e].signature,t),{})}getCompilationKey(t,e){let n=t.map(s=>s.name).sort(),o=e.map(s=>s.name).sort();return n.join(this.SEPERATOR)+\"--\"+o.join(this.SEPERATOR)}compile(t,e){let n=uN(t,e,this.weightMap,this._initNodes),{missingInputs:o,dynamicNode:s,syncInputs:i}=n;if(s!=null)throw new Error(`This execution contains the node '${s.name}', which has the dynamic op '${s.op}'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs [${i}]`);if(o.length>0){let a=e.map(l=>l.name),u=Object.keys(t);throw new Error(`Cannot compute the outputs [${a}] from the provided inputs [${u}]. Missing the following inputs: [${o}]`)}return rR(this.graph,this.weightMap,n)}execute(t,e){t=this.mapInputs(t);let n=Object.keys(t).sort();this.checkInputs(t),this.checkInputShapeAndType(t),e=this.mapOutputs(e),this.checkOutputs(e);let o=n.map(p=>this.graph.nodes[gn(p)[0]]),s=e.map(p=>gn(p)[0]),i=s.map(p=>this.graph.nodes[p]);this.resetIntermediateTensors(),i.length===0&&(i=this._outputs);let a=this.getCompilationKey(o,i),u=this.compiledMap.get(a);u==null&&(u=this.compile(t,i),this.compiledMap.set(a,u));let l={},c={};return B(()=>{let p=new Ah(this.weightMap,l,c,this.functionExecutorMap),m=Object.assign({},this.weightMap);Object.keys(t).forEach(h=>{let[g,x]=gn(h),b=[];b[x]=t[h],m[g]=b});let f=this.getFrozenTensorIds(m),d={};for(let h=0;hyr(h,m,p))})}getFrozenTensorIds(t){let e=[].concat.apply([],Object.keys(t).map(n=>t[n]).map(n=>n.map(o=>o.id)));return new Set(e)}checkTensorForDisposal(t,e,n,o,s,i,a){e.category===\"control\"||i.indexOf(t)!==-1||(n[t].forEach(u=>{u!=null&&(a[u.id]=(a[u.id]||0)+e.children.length)}),e.inputs.forEach(u=>{if(u.category!==\"control\"){let l=TD(u.name,n,o);l!=null&&l.forEach(c=>{if(c&&!c.kept&&!s.has(c.id)){let p=a[c.id];if(p===1){if(!this.keepTensorForDebug)c.dispose();else{let[m,f]=Eo(e.name,o);this.intermediateTensors[m]?this.intermediateTensors[m][f]=c:(this.intermediateTensors[m]=[],this.intermediateTensors[m][f]=c)}delete a[c.id]}else p!=null&&a[c.id]--}})}}))}async executeAsync(t,e){return this._executeAsync(t,e)}disposeIntermediateTensors(){!this.intermediateTensors||(Object.keys(this.intermediateTensors).forEach(t=>this.intermediateTensors[t].forEach(e=>e.dispose())),this.disposeTensorsMap())}disposeTensorsMap(){!this.tensorsMap||Object.keys(this.tensorsMap).forEach(t=>{this.tensorsMap[t].forEach(n=>{n&&!n.kept&&!n.isDisposed&&!this.keepIds.has(n.id)&&n.dispose()})})}getIntermediateTensors(){return this.tensorsMap}resetIntermediateTensors(){for(let t in this.intermediateTensors)this.intermediateTensors[t].forEach(e=>e.dispose()),delete this.intermediateTensors[t]}async _executeAsync(t,e,n=!1,o={},s={}){n||(t=this.mapInputs(t),this.checkInputs(t),this.checkInputShapeAndType(t),e=this.mapOutputs(e),this.checkOutputs(e));try{this.keepTensorForDebug=M().getBool(\"KEEP_INTERMEDIATE_TENSORS\")}catch(c){console.warn(c.message)}this.resetIntermediateTensors();let i=new Ah(this.weightMap,o,s,this.functionExecutorMap);this.tensorsMap=await this.executeWithControlFlow(t,i,e,n);let a=e.map(c=>yr(c,this.tensorsMap,i)),u=a.map(c=>c.id),l=Object.keys(t).map(c=>t[c].id);return this.keepIds=new Set([...u,...l,...this.weightIds]),this.keepTensorForDebug||this.disposeTensorsMap(),this.parent==null&&i.dispose(this.keepIds),a}async executeFunctionAsync(t,e,n){let o=t.reduce((s,i,a)=>(s[this.inputs[a].name]=i,s),{});return this._executeAsync(o,this.outputNodes,!0,e,n)}async executeWithControlFlow(t,e,n,o){let s=Object.keys(t),i=s.map(w=>this.graph.nodes[gn(w)[0]]),a=n.map(w=>gn(w)[0]),u=a.map(w=>this.graph.nodes[w]);u.length===0&&(u=this._outputs);let{usedNodes:l,missingInputs:c,dynamicNode:p,syncInputs:m}=uN(t,u,this.weightMap,this._initNodes),f=[...i,...this.graph.weights,...this._initNodes||[]].map(w=>({node:w,contexts:e.currentContext})),d=Object.assign({},this.weightMap);Object.keys(t).forEach(w=>{let[C,N]=gn(w),_=[];_[N]=t[w],d[C]=_});let h={},g=this.getFrozenTensorIds(d),x={};for(;f.length>0;){let w=this.processStack(i,f,e,d,x,g,a,h,l);await Promise.all(w)}p==null&&!o&&console.warn(\"This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead.\");let b=u.filter(w=>!cN(w)&&!yr(w.name,d,e)).map(w=>w.name);if(b.length>0){let w=\"\";throw p!=null&&(w=`Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs [${m}]`),new Error(`Cannot compute the outputs [${b}] from the provided inputs [${s}]. Consider providing the following inputs: [${c}]. ${w}`)}return d}processStack(t,e,n,o,s,i,a,u,l){let c=[];for(;e.length>0;){let p=e.pop();n.currentContext=p.contexts;let m=\"\";if(p.node.op===\"Enter\"&&v(\"isConstant\",p.node,o,n)&&([m]=Eo(p.node.name,n)),o[p.node.name]==null){let f=lN(p.node,o,n,this._resourceManager);m||([m]=Eo(p.node.name,n));let d=n.currentContext;y.isPromise(f)?c.push(f.then(h=>(o[m]=h,n.currentContext=d,this.checkTensorForDisposal(m,p.node,o,n,i,a,u),this.processChildNodes(p.node,e,n,o,s,l),h))):(o[m]=f,this.checkTensorForDisposal(m,p.node,o,n,i,a,u),this.processChildNodes(p.node,e,n,o,s,l))}else this.processChildNodes(p.node,e,n,o,s,l)}return c}processChildNodes(t,e,n,o,s,i){t.children.forEach(a=>{let[u]=Eo(a.name,n);s[u]||!i.has(a.name)||(a.op===\"Merge\"?a.inputNames.some(l=>!!yr(l,o,n))&&(s[u]=!0,e.push({contexts:n.currentContext,node:a})):a.inputNames.every(l=>!!yr(l,o,n))&&(s[u]=!0,e.push({contexts:n.currentContext,node:a})))})}dispose(){Object.keys(this.weightMap).forEach(t=>this.weightMap[t].forEach(e=>e.dispose()))}checkInputShapeAndType(t){Object.keys(t).forEach(e=>{let n=t[e],[o]=gn(e),s=this.graph.nodes[o];if(s.attrParams.shape&&s.attrParams.shape.value){let i=s.attrParams.shape.value,a=i.length===n.shape.length&&n.shape.every((u,l)=>i[l]===-1||i[l]===u);y.assert(a,()=>`The shape of dict['${s.name}'] provided in model.execute(dict) must be [${i}], but was [${n.shape}]`)}s.attrParams.dtype&&s.attrParams.dtype.value&&y.assert(n.dtype===s.attrParams.dtype.value,()=>`The dtype of dict['${s.name}'] provided in model.execute(dict) must be ${s.attrParams.dtype.value}, but was ${n.dtype}`)})}mapInputs(t){let e={};for(let n in t)if(this._signature!=null&&this._signature.inputs!=null&&this._signature.inputs[n]!=null){let o=this._signature.inputs[n];e[o.name]=t[n]}else e[n]=t[n];return e}checkInputs(t){let e=Object.keys(t).filter(n=>{let[o]=gn(n);return this.graph.nodes[o]==null});if(e.length>0)throw new Error(`The dict provided in model.execute(dict) has keys: [${e}] that are not part of graph`)}mapOutputs(t){return t.map(e=>this._signature!=null&&this._signature.outputs!=null&&this._signature.outputs[e]!=null?this._signature.outputs[e].name:e,{})}checkOutputs(t){t.forEach(e=>{let[n]=gn(e);if(!this.graph.nodes[n])throw new Error(`The output '${e}' is not found in the graph`)})}};var Pb=class{constructor(t={},e={}){this.hashTableNameToHandle=t,this.hashTableMap=e}addHashTable(t,e){this.hashTableNameToHandle[t]=e.handle,this.hashTableMap[e.id]=e}getHashTableHandleByName(t){return this.hashTableNameToHandle[t]}getHashTableById(t){return this.hashTableMap[t]}dispose(){for(let t in this.hashTableMap)this.hashTableMap[t].clearAndClose(),delete this.hashTableMap[t];for(let t in this.hashTableNameToHandle)this.hashTableNameToHandle[t].dispose(),delete this.hashTableNameToHandle[t]}};var w7=\"?tfjs-format=file\",C7=\"model.json\",$h=class{constructor(t,e={},n=Er){this.modelUrl=t,this.loadOptions=e,this.version=\"n/a\",this.io=n,e==null&&(this.loadOptions={}),this.resourceManager=new Pb}get modelVersion(){return this.version}get inputNodes(){return this.executor.inputNodes}get outputNodes(){return this.executor.outputNodes}get inputs(){return this.executor.inputs}get outputs(){return this.executor.outputs}get weights(){return this.executor.weightMap}get metadata(){return this.artifacts.userDefinedMetadata}get modelSignature(){return this.signature}get modelStructuredOutputKeys(){return this.structuredOutputKeys}findIOHandler(){let t=this.modelUrl;if(t.load!=null)this.handler=t;else if(this.loadOptions.requestInit!=null)this.handler=this.io.browserHTTPRequest(t,this.loadOptions);else{let e=this.io.getLoadHandlers(t,this.loadOptions);if(e.length===0)e.push(this.io.browserHTTPRequest(t,this.loadOptions));else if(e.length>1)throw new Error(`Found more than one (${e.length}) load handlers for URL '${[t]}'`);this.handler=e[0]}}load(){if(this.findIOHandler(),this.handler.load==null)throw new Error(\"Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.\");let t=this.handler.load();return y.isPromise(t)?t.then(e=>this.loadSync(e)):this.loadSync(t)}loadSync(t){this.artifacts=t;let e=this.artifacts.modelTopology,n=this.artifacts.signature;if(this.artifacts.userDefinedMetadata!=null){let s=this.artifacts.userDefinedMetadata;s.signature!=null&&(n=s.signature),s.structuredOutputKeys!=null&&(this.structuredOutputKeys=s.structuredOutputKeys)}this.signature=n,this.version=`${e.versions.producer}.${e.versions.minConsumer}`;let o=this.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new Nc(_h.Instance.transformGraph(e,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(o),this.executor.resourceManager=this.resourceManager,t.modelInitializer!=null&&t.modelInitializer.node!=null){let s=_h.Instance.transformGraph(t.modelInitializer);this.initializer=new Nc(s),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializer.executeAsync({},[])}return!0}async save(t,e){if(typeof t==\"string\"){let n=this.io.getSaveHandlers(t);if(n.length===0)throw new Error(`Cannot find any save handlers for URL '${t}'`);if(n.length>1)throw new Error(`Found more than one (${n.length}) save handlers for URL '${t}'`);t=n[0]}if(t.save==null)throw new Error(\"GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.\");return t.save(this.artifacts)}predict(t,e){let n=this.execute(t,this.outputNodes);if(this.structuredOutputKeys){let o=n instanceof Ft?[n]:n,s={};return o.forEach((i,a)=>s[this.structuredOutputKeys[a]]=i),s}return n}normalizeInputs(t){if(!(t instanceof Ft)&&!Array.isArray(t))return t;if(t=Array.isArray(t)?t:[t],t.length!==this.inputNodes.length)throw new Error(`Input tensor count mismatch,the graph model has ${this.inputNodes.length} placeholders, while there are ${t.length} input tensors.`);return this.inputNodes.reduce((e,n,o)=>(e[n]=t[o],e),{})}normalizeOutputs(t){return t=t||this.outputNodes,Array.isArray(t)?t:[t]}execute(t,e){t=this.normalizeInputs(t),e=this.normalizeOutputs(e);let n=this.executor.execute(t,e);return n.length>1?n:n[0]}async executeAsync(t,e){t=this.normalizeInputs(t),e=this.normalizeOutputs(e);let n=await this.executor.executeAsync(t,e);return n.length>1?n:n[0]}getIntermediateTensors(){return this.executor.getIntermediateTensors()}disposeIntermediateTensors(){this.executor.disposeIntermediateTensors()}convertTensorMapToTensorsMap(t){return Object.keys(t).reduce((e,n)=>(e[n]=[t[n]],e),{})}dispose(){this.executor.dispose(),this.initializer&&this.initializer.dispose(),this.resourceManager.dispose()}};async function I7(r,t={},e=Er){if(r==null)throw new Error(\"modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model\");t==null&&(t={}),t.fromTFHub&&typeof r==\"string\"&&(r=S7(r));let n=new $h(r,t,e);return await n.load(),n}function v7(r){if(r==null)throw new Error(\"modelUrl in loadGraphModelSync() cannot be null. Please provide model artifacts or an IOHandler that loads the model\");let t;if(r instanceof Array){let[n,o]=r;if(!n)throw new Error(\"modelJSON must be the first element of the array\");if(!o||!(o instanceof ArrayBuffer))throw new Error(\"An ArrayBuffer of weights must be the second element of the array\");if(!(\"modelTopology\"in n))throw new Error(\"Model JSON is missing 'modelTopology'\");if(!(\"weightsManifest\"in n))throw new Error(\"Model JSON is missing 'weightsManifest'\");let s=Er.getWeightSpecs(n.weightsManifest),i=Er.getModelArtifactsForJSONSync(n,s,o);t=Er.fromMemorySync(i)}else if(\"load\"in r)t=r;else if(\"modelTopology\"in r&&\"weightSpecs\"in r&&\"weightData\"in r)t=Er.fromMemorySync(r);else throw new Error(\"Unknown model format\");let e=new $h(t);return e.load(),e}function S7(r){return r.endsWith(\"/\")||(r=r+\"/\"),`${r}${C7}${w7}`}var nR=\"3.21.0\";var vR={};Gt(vR,{CSVDataset:()=>Kf,Dataset:()=>Ys,FileDataSource:()=>Jf,TextLineDataset:()=>qf,URLDataSource:()=>Qf,array:()=>fR,csv:()=>yR,func:()=>bR,generator:()=>wR,microphone:()=>IR,version_data:()=>$N,webcam:()=>CR,zip:()=>dR});var mR=Sl(lh());var uR=Sl(lh());function oR(r,t){return Lb(r,t)}function Lb(r,t,e=new Map,n=new Set){if(r==null)return null;if(typeof Blob==\"function\"&&r instanceof Blob)return r.slice();if(n.has(r))throw new Error(\"Circular references are not supported.\");if(e.has(r))return e.get(r);let o=t(r);if(o.recurse&&o.value!==null)throw new Error(\"A deep map function may not return both a value and recurse=true.\");if(o.recurse)if(vu(r)){let s=Array.isArray(r)?[]:{};n.add(r);for(let i in r){let a=r[i],u=Lb(a,t,e,n);s[i]=u}return n.delete(r),r.__proto__&&(s.__proto__=r.__proto__),s}else throw new Error(`Can't recurse into non-iterable type: ${r}`);else return e.set(r,o.value),o.value}function sR(r,t=mN){return iR(r,t)}function iR(r,t,e=new Set){let n=r[0];if(e.has(n))throw new Error(\"Circular references are not supported.\");let o=t(r);if(o.recurse&&o.value!==null)throw new Error(\"A deep zip function may not return both a value and recurse=true.\");if(o.recurse)if(vu(n)){let s=Array.isArray(n)?[]:{};e.add(n);for(let i in n){let a=r.map(l=>l[i]),u=iR(a,t,e);s[i]=u}return e.delete(n),s}else throw new Error(`Can't recurse into non-iterable type: ${n}`);else return o.value}function mN(r){return r===null?null:vu(r[0])?{value:null,recurse:!0}:{value:r,recurse:!1}}async function Mb(r,t){let e=new Map;Lb(r,t,e);for(let o of Array.from(e.keys())){let s=e.get(o);if(y.isPromise(s)){let i=await s;e.set(o,i)}}return Lb(r,t,e)}function vu(r){let t=!1;if(M().get(\"IS_BROWSER\"))t=r instanceof TextDecoder;else{let{StringDecoder:e}=pN();t=r instanceof e}return r!=null&&!ArrayBuffer.isView(r)&&(Array.isArray(r)||typeof r==\"object\"&&!(r instanceof Ft)&&!(r instanceof Promise)&&!t)}function aR(r){return r==null||N7(r)||Array.isArray(r)||typeof r==\"object\"&&r instanceof Ft||y.isTypedArray(r)}function N7(r){return r===null||typeof r!=\"object\"&&typeof r!=\"function\"}function lR(r){return oR(r,k7)}function k7(r){return r instanceof Ft?{value:r.clone(),recurse:!1}:vu(r)?{value:null,recurse:!0}:{value:r,recurse:!1}}var Hf=class{constructor(t){if(this.capacity=t,this.begin=0,this.end=0,t==null)throw new RangeError(\"Can't create a ring buffer of unknown capacity.\");if(t<1)throw new RangeError(\"Can't create ring buffer of capacity < 1.\");this.data=new Array(t),this.doubledCapacity=2*t}wrap(t){for(;t<0;)t+=this.doubledCapacity;return t%this.doubledCapacity}get(t){if(t<0)throw new RangeError(\"Can't get item at a negative index.\");return this.data[t%this.capacity]}set(t,e){if(t<0)throw new RangeError(\"Can't set item at a negative index.\");this.data[t%this.capacity]=e}length(){let t=this.end-this.begin;return t<0&&(t=this.doubledCapacity+t),t}isFull(){return this.length()===this.capacity}isEmpty(){return this.length()===0}push(t){if(this.isFull())throw new RangeError(\"Ring buffer is full.\");this.set(this.end,t),this.end=this.wrap(this.end+1)}pushAll(t){for(let e of t)this.push(e)}pop(){if(this.isEmpty())throw new RangeError(\"Ring buffer is empty.\");this.end=this.wrap(this.end-1);let t=this.get(this.end);return this.set(this.end,void 0),t}unshift(t){if(this.isFull())throw new RangeError(\"Ring buffer is full.\");this.begin=this.wrap(this.begin-1),this.set(this.begin,t)}shift(){if(this.isEmpty())throw new RangeError(\"Ring buffer is empty.\");let t=this.get(this.begin);return this.set(this.begin,void 0),this.begin=this.wrap(this.begin+1),t}shuffleExcise(t){if(this.isEmpty())throw new RangeError(\"Ring buffer is empty.\");let e=this.wrap(this.begin+t),n=this.get(e);return this.set(e,this.pop()),n}};var kc=class extends Hf{constructor(){super(kc.INITIAL_CAPACITY)}isFull(){return!1}push(t){super.isFull()&&this.expand(),super.push(t)}unshift(t){super.isFull()&&this.expand(),super.unshift(t)}expand(){let t=this.capacity*2,e=new Array(t),n=this.length();for(let o=0;oe===!0)}rowMajorBatch(t,e=!0){return new yN(this,t,e)}columnMajorBatch(t,e=!0,n=mN){return this.rowMajorBatch(t,e).map(s=>sR(s,n))}concatenate(t,e){return new Bb(NN([this,t]),e)}take(t){return t<0||t==null?this:new xN(this,t)}skip(t){return t<0||t==null?this:new gN(this,t)}prefetch(t){return new Vb(this,t)}shuffle(t,e){return new SN(this,t,e)}serial(){return new hN(this)}},fN=class extends Je{constructor(t){super(),this.items=t,this.trav=0}summary(){return`Array of ${this.items.length} items`}async next(){if(this.trav>=this.items.length)return{value:null,done:!0};let t=this.items[this.trav];return this.trav++,{value:lR(t),done:!1}}},dN=class extends Je{constructor(t){super(),this.nextFn=t}summary(){return\"Function call\"}async next(){try{return this.nextFn()}catch(t){throw t.message=`Error thrown while iterating through a dataset: ${t.message}`,t}}},hN=class extends Je{constructor(t){super(),this.upstream=t,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Serial`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){return this.upstream.next()}},gN=class extends Je{constructor(t,e){super(),this.upstream=t,this.maxCount=e,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Skip`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.count++ Take`}async next(){return this.count++>=this.maxCount?{value:null,done:!0}:this.upstream.next()}},yN=class extends Je{constructor(t,e,n=!0){super(),this.upstream=t,this.batchSize=e,this.enableSmallLastBatch=n,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> RowMajorBatch`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){let t=[];for(;t.length0?{value:t,done:!1}:{value:null,done:!0};t.push(e.value)}return{value:t,done:!1}}},bN=class extends Je{constructor(t,e){super(),this.upstream=t,this.predicate=e,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Filter`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;){let t=await this.upstream.next();if(t.done||this.predicate(t.value))return t;St(t.value)}}},wN=class extends Je{constructor(t,e){super(),this.upstream=t,this.transform=e}summary(){return`${this.upstream.summary()} -> Map`}async next(){let t=await this.upstream.next();if(t.done)return{value:null,done:!0};let e=fo.getTensorsInContainer(t.value),n=this.transform(t.value),o=fo.getTensorsInContainer(n);for(let s of e)fo.isTensorInList(s,o)||s.dispose();return{value:n,done:!1}}},CN=class extends Je{constructor(t,e){super(),this.upstream=t,this.handler=e,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> handleErrors`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;)try{return await this.upstream.next()}catch(t){if(!this.handler(t))return{value:null,done:!0}}}},zb=class extends Je{constructor(t,e){super(),this.upstream=t,this.transform=e}summary(){return`${this.upstream.summary()} -> AsyncMap`}async next(){let t=await this.upstream.next();if(t.done)return{value:null,done:!0};let e=fo.getTensorsInContainer(t.value),n=await this.transform(t.value),o=fo.getTensorsInContainer(n);for(let s of e)fo.isTensorInList(s,o)||s.dispose();return{value:n,done:!1}}},Tc=class extends Je{constructor(){super(),this.outputQueue=new kc,this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.outputQueue.length()===0;)if(!await this.pump())return{value:null,done:!0};return{value:this.outputQueue.shift(),done:!1}}},IN=class extends Tc{constructor(t,e){super(),this.upstream=t,this.transform=e}summary(){return`${this.upstream.summary()} -> Flatmap`}async pump(){let t=await this.upstream.next();if(t.done)return!1;let e=fo.getTensorsInContainer(t.value),n=this.transform(t.value),o=fo.getTensorsInContainer(n);this.outputQueue.pushAll(n);for(let s of e)fo.isTensorInList(s,o)||s.dispose();return!0}},Bb=class extends Je{constructor(t,e){super(),this.baseErrorHandler=e,this.lastRead=null,this.iterator=null,this.moreIterators=t}summary(){return\"TODO: fill in upstream of chained summaries -> Chained\"}async next(){return this.lastRead=this.readFromChain(this.lastRead),this.lastRead}async readFromChain(t){if(await t,this.iterator==null){let n=await this.moreIterators.next();if(n.done)return{value:null,done:!0};this.iterator=n.value,this.baseErrorHandler!=null&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler))}let e=await this.iterator.next();return e.done?(this.iterator=null,this.readFromChain(t)):e}},pl;(function(r){r[r.FAIL=0]=\"FAIL\",r[r.SHORTEST=1]=\"SHORTEST\",r[r.LONGEST=2]=\"LONGEST\"})(pl||(pl={}));var vN=class extends Je{constructor(t,e=pl.FAIL){super(),this.iterators=t,this.mismatchMode=e,this.count=0,this.currentPromise=null}summary(){return\"{TODO: fill in upstream of zip summaries} -> Zip\"}async nextState(t){await t;let e=0,n=0;function o(i){return i instanceof Je?{value:i.next().then(u=>(e++,u.done&&n++,u.value)),recurse:!1}:{value:null,recurse:!0}}let s=await Mb(this.iterators,o);if(e===n)return{value:null,done:!0};if(n>0)switch(this.mismatchMode){case pl.FAIL:throw new Error(`Zipped streams should have the same length. Mismatched at element ${this.count}.`);case pl.SHORTEST:return{value:null,done:!0};case pl.LONGEST:default:}return this.count++,{value:s,done:!1}}async next(){return this.currentPromise=this.nextState(this.currentPromise),this.currentPromise}},Vb=class extends Je{constructor(t,e){super(),this.upstream=t,this.bufferSize=e,this.buffer=new Hf(e)}summary(){return`${this.upstream.summary()} -> Prefetch`}refill(){for(;!this.buffer.isFull();){let t=this.upstream.next();this.buffer.push(t)}}next(){return this.refill(),this.buffer.shift()}},SN=class extends Vb{constructor(t,e,n){super(t,e),this.upstream=t,this.windowSize=e,this.upstreamExhausted=!1,this.random=uR.alea(n||y.now().toString()),this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}randomInt(t){return Math.floor(this.random()*t)}chooseIndex(){return this.randomInt(this.buffer.length())}async serialNext(){for(this.upstreamExhausted||this.refill();!this.buffer.isEmpty();){let t=this.chooseIndex(),e=await this.buffer.shuffleExcise(t);if(e.done)this.upstreamExhausted=!0;else return this.refill(),e}return{value:null,done:!0}}};var Ys=class{constructor(){this.size=null}batch(t,e=!0){let n=this;y.assert(t>0,()=>`batchSize needs to be positive, but it is\n ${t}`);let o;return this.size===1/0||this.size==null?o=this.size:e?o=Math.ceil(this.size/t):o=Math.floor(this.size/t),kn(async()=>(await n.iterator()).columnMajorBatch(t,e,T7),o)}concatenate(t){let e=this,n;return this.size===1/0||t.size===1/0?n=1/0:this.size!=null&&t.size!=null?n=this.size+t.size:n=null,kn(async()=>(await e.iterator()).concatenate(await t.iterator()),n)}filter(t){let e=this,n;return this.size===1/0?n=1/0:n=null,kn(async()=>(await e.iterator()).filter(o=>B(()=>t(o))),n)}async forEachAsync(t){return(await this.iterator()).forEachAsync(t)}map(t){let e=this;return kn(async()=>(await e.iterator()).map(n=>B(()=>t(n))),this.size)}mapAsync(t){let e=this;return kn(async()=>(await e.iterator()).mapAsync(t),this.size)}prefetch(t){if(t==null)throw new RangeError(\"`Dataset.prefetch()` requires bufferSize to be specified.\");let e=this;return kn(async()=>(await e.iterator()).prefetch(t),this.size)}repeat(t){let e=this,n;return this.size!=null&&t>0?n=this.size*t:t===0?n=0:this.size!=null&&(t===void 0||t<0)?n=1/0:n=null,kn(async()=>{let o=Dh(async()=>({value:await e.iterator(),done:!1}));return cR(o.take(t))},n)}skip(t){let e=this,n;return this.size!=null&&t>=0&&this.size>=t?n=this.size-t:this.size!=null&&(this.size(await e.iterator()).skip(t),n)}shuffle(t,e,n=!0){if(t==null||t<0)throw this.size==null?new RangeError(\"`Dataset.shuffle()` requires bufferSize to be specified.\"):new RangeError(`\\`Dataset.shuffle()\\` requires bufferSize to be specified. If your data fits in main memory (for regular JS objects), and/or GPU memory (for \\`tf.Tensor\\`s), consider setting bufferSize to the dataset size (${this.size} elements)`);let o=this,s=mR.alea(e||y.now().toString());return kn(async()=>{let i=s.int32();return n&&(i+=s.int32()),(await o.iterator()).shuffle(t,i.toString())},this.size)}take(t){let e=this,n;return this.size!=null&&this.size>t?n=t:this.size!=null&&this.size<=t?n=this.size:n=null,kn(async()=>(await e.iterator()).take(t),n)}async toArray(){if(this.size===1/0)throw new Error(\"Can not convert infinite data stream to array.\");return(await this.iterator()).toArray()}async toArrayForTest(){if(this.size===1/0)throw new Error(\"Can not convert infinite data stream to array.\");return(await this.iterator()).toArrayForTest()}};Ys.MAX_BUFFER_SIZE=1e4;function kn(r,t=null){return new class extends Ys{constructor(){super(...arguments),this.size=t}async iterator(){return r()}}}function fR(r){return kn(async()=>NN(r),r.length)}function dR(r){if(!vu(r))throw new Error(\"The argument to zip() must be an object or array.\");let t;if(Array.isArray(r))for(let e=0;e{let e=await Mb(r,n=>{if(n instanceof Ys)return{value:n.iterator(),recurse:!1};if(vu(n))return{value:null,recurse:!0};throw new Error(\"Leaves of the structure passed to zip() must be Datasets, not primitives.\")});return pR(e,pl.SHORTEST)},t)}function T7(r){if(r===null)return null;let t=r[0];return aR(t)?{value:E7(r),recurse:!1}:{value:null,recurse:!0}}function E7(r){if(r.length===0)throw new Error(\"Can't make a batch of zero elements.\");return r[0]instanceof Ft?rr(r):wr(r)}var qf=class extends Ys{constructor(t){super(),this.input=t}async iterator(){return(await this.input.iterator()).decodeUTF8().split(`\n`).map(o=>(o.endsWith(\"\\r\")&&(o=o.slice(0,-1)),o))}};var Gb='\"',Rh=Symbol(\"out\"),hR=Symbol(\"field\"),Wb=Symbol(\"quote\"),kN=Symbol(\"quoteafterquote\"),gR=Symbol(\"quoteinquote\"),Kf=class extends Ys{constructor(t,e){super(),this.input=t,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=\",\",this.delimWhitespace=!1,this.base=new qf(t),e||(e={}),this.hasHeader=e.hasHeader!==!1,this.fullColumnNames=e.columnNames,this.columnConfigs=e.columnConfigs,this.configuredColumnsOnly=e.configuredColumnsOnly,e.delimWhitespace?(y.assert(e.delimiter==null,()=>\"Delimiter should not be provided when delimWhitespace is true.\"),this.delimWhitespace=!0,this.delimiter=\" \"):this.delimiter=e.delimiter?e.delimiter:\",\"}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){let t=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!t)throw new Error(\"Column names must be provided if there is no header line.\");this.fullColumnNames&&t&&y.assert(t.length===this.fullColumnNames.length,()=>\"The length of provided columnNames (\"+this.fullColumnNames.length.toString()+\") does not match the length of the header line read from file (\"+t.length.toString()+\").\"),this.fullColumnNames||(this.fullColumnNames=t);let e=this.fullColumnNames.reduce((o,s)=>(o[s]=o[s]+1||1,o),{}),n=Object.keys(e).filter(o=>e[o]>1);if(y.assert(n.length===0,()=>\"Duplicate column names found: \"+n.toString()),this.columnConfigs){for(let o of Object.keys(this.columnConfigs))if(this.fullColumnNames.indexOf(o)===-1)throw new Error('The key \"'+o+'\" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+\").\")}this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){let e=await(await this.base.iterator()).next();if(e.done)throw new Error(\"No data was found for CSV parsing.\");let n=e.value;return this.parseRow(n,!1)}else return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let t=await this.base.iterator();return this.hasHeader&&(t=t.skip(1)),t.map(e=>this.makeDataElement(e))}makeDataElement(t){let e=this.parseRow(t),n={},o={};for(let s=0;s14||!Number.isInteger(e))throw new Error(`Invalid fftSize: it must be a power of 2 between 2 to 4 and 2 to 14, but got ${this.fftSize}`);if(this.numFrames=t.numFramesPerSpectrogram||43,this.sampleRateHz=t.sampleRateHz,this.columnTruncateLength=t.columnTruncateLength||this.fftSize,this.audioTrackConstraints=t.audioTrackConstraints,this.smoothingTimeConstant=t.smoothingTimeConstant||0,this.includeSpectrogram=t.includeSpectrogram!==!1,this.includeWaveform=t.includeWaveform===!0,!this.includeSpectrogram&&!this.includeWaveform)throw new Error(\"Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.\")}summary(){return\"microphone\"}static async create(t={}){if(!M().get(\"IS_BROWSER\"))throw new Error(\"microphone API is only supported in browser environment.\");let e=new jf(t);return await e.start(),e}async start(){try{this.stream=await navigator.mediaDevices.getUserMedia({audio:this.audioTrackConstraints==null?!0:this.audioTrackConstraints,video:!1})}catch(n){throw new Error(`Error thrown while initializing video stream: ${n.message}`)}if(!this.stream)throw new Error(\"Could not obtain audio from microphone.\");let t=window.AudioContext||window.webkitAudioContext;if(this.audioContext=new t,!this.sampleRateHz)this.sampleRateHz=this.audioContext.sampleRate;else if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error(`Mismatch in sampling rate: Expected: ${this.sampleRateHz}; Actual: ${this.audioContext.sampleRate}`);let e=this.audioContext.createMediaStreamSource(this.stream);this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=this.fftSize*2,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,e.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize)}async next(){if(this.isClosed)return{value:null,done:!0};let t,e,n=await this.getAudioData();if(this.includeSpectrogram){let o=this.flattenQueue(n.freqDataQueue);t=this.getTensorFromAudioDataArray(o,[this.numFrames,this.columnTruncateLength,1])}if(this.includeWaveform){let o=this.flattenQueue(n.timeDataQueue);e=this.getTensorFromAudioDataArray(o,[this.numFrames*this.fftSize,1])}return{value:{spectrogram:t,waveform:e},done:!1}}async capture(){return(await this.next()).value}async getAudioData(){let t=[],e=[],n=0;return new Promise(o=>{let s=setInterval(()=>{this.includeSpectrogram&&(this.analyser.getFloatFrequencyData(this.freqData),this.freqData[0]===-1/0&&o({freqDataQueue:t,timeDataQueue:e}),t.push(this.freqData.slice(0,this.columnTruncateLength))),this.includeWaveform&&(this.analyser.getFloatTimeDomainData(this.timeData),e.push(this.timeData.slice())),++n===this.numFrames&&(clearInterval(s),o({freqDataQueue:t,timeDataQueue:e}))},this.fftSize/this.sampleRateHz*1e3)})}stop(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),this.stream!=null&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())}toArray(){throw new Error(\"Can not convert infinite audio stream to array.\")}getSampleRate(){return this.sampleRateHz}flattenQueue(t){let e=t[0].length,n=new Float32Array(t.length*e);return t.forEach((o,s)=>n.set(o,s*e)),n}getTensorFromAudioDataArray(t,e){let n=new Float32Array(y.sizeFromShape(e));return n.set(t,n.length-t.length),wr(n,e)}};var Xf=class extends Je{constructor(t,e){if(super(),this.webcamVideoElement=t,this.webcamConfig=e,this.isClosed=!0,this.resize=!1,this.needToResize())if(this.resize=!0,this.cropSize=[this.webcamConfig.resizeHeight,this.webcamConfig.resizeWidth],this.cropBoxInd=Le([0],\"int32\"),this.webcamConfig.centerCrop){let n=this.webcamConfig.resizeWidth*1/this.webcamVideoElement.width,o=this.webcamConfig.resizeHeight*1/this.webcamVideoElement.height,s=(1-n)/2,i=(1-o)/2,a=s+n,u=o+i;this.cropBox=Bs([i,s,u,a],[1,4])}else this.cropBox=Bs([0,0,1,1],[1,4])}summary(){return\"webcam\"}static async create(t,e={}){if(!M().get(\"IS_BROWSER\"))throw new Error(\"tf.data.webcam is only supported in browser environment.\");if(!t){if(t=document.createElement(\"video\"),!e.resizeWidth||!e.resizeHeight)throw new Error(\"Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.\");t.width=e.resizeWidth,t.height=e.resizeHeight}let n=new Xf(t,e);return await n.start(),n}async start(){this.webcamConfig.facingMode&&y.assert(this.webcamConfig.facingMode===\"user\"||this.webcamConfig.facingMode===\"environment\",()=>`Invalid webcam facing mode: ${this.webcamConfig.facingMode}. Please provide 'user' or 'environment'`);try{this.stream=await navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:\"user\",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}})}catch(t){throw t.message=`Error thrown while initializing video stream: ${t.message}`,t}if(!this.stream)throw new Error(\"Could not obtain video from webcam.\");try{this.webcamVideoElement.srcObject=this.stream}catch(t){console.log(t),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,new Promise(t=>{this.webcamVideoElement.onloadedmetadata=()=>{t()}})}async next(){if(this.isClosed)return{value:null,done:!0};let t;try{t=Jg.fromPixels(this.webcamVideoElement)}catch(e){throw new Error(`Error thrown converting video to pixels: ${JSON.stringify(e)}`)}if(this.resize)try{return{value:this.cropAndResizeFrame(t),done:!1}}catch(e){throw new Error(`Error thrown cropping the video: ${e.message}`)}finally{t.dispose()}else return{value:t,done:!1}}needToResize(){return!!(this.webcamConfig.resizeWidth&&this.webcamConfig.resizeHeight&&(this.webcamVideoElement.width!==this.webcamConfig.resizeWidth||this.webcamVideoElement.height!==this.webcamConfig.resizeHeight))}cropAndResizeFrame(t){return B(()=>{let e=gr(J(t,\"float32\"),0),n;n=lu.cropAndResize(e,this.cropBox,this.cropBoxInd,this.cropSize,\"bilinear\");let o=n.shape;return D(n,o.slice(1))})}async capture(){return(await this.next()).value}stop(){this.stream.getTracks().forEach(e=>e.stop());try{this.webcamVideoElement.srcObject=null}catch(e){console.log(e),this.webcamVideoElement.src=null}this.isClosed=!0}toArray(){throw new Error(\"Can not convert infinite video stream to array.\")}};var Yf=class{};var Fh=class extends Je{split(t){return new TN(this,t)}},TN=class extends Fh{constructor(t,e){super(),this.upstream=t,this.impl=new EN(t,e)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},EN=class extends Tc{constructor(t,e){super(),this.upstream=t,this.separator=e,this.carryover=\"\"}summary(){return`${this.upstream.summary()} -> Split('${this.separator}')`}async pump(){let t=await this.upstream.next();if(t.done)return this.carryover===\"\"?!1:(this.outputQueue.push(this.carryover),this.carryover=\"\",!0);let e=t.value.split(this.separator);e[0]=this.carryover+e[0];for(let n of e.slice(0,-1))this.outputQueue.push(n);return this.carryover=e[e.length-1],!0}};var Ub=class extends Je{decodeUTF8(){return new _N(this)}},_N=class extends Fh{constructor(t){super(),this.upstream=t,this.impl=new AN(t)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},AN=class extends Tc{constructor(t){if(super(),this.upstream=t,M().get(\"IS_BROWSER\"))this.decoder=new TextDecoder(\"utf-8\");else{let{StringDecoder:e}=pN();this.decoder=new e(\"utf8\")}}summary(){return`${this.upstream.summary()} -> Utf8`}async pump(){let t=await this.upstream.next(),e;if(t.done)return!1;e=t.value;let n;return M().get(\"IS_BROWSER\")?n=this.decoder.decode(e,{stream:!0}):n=this.decoder.write(Buffer.from(e.buffer)),this.outputQueue.push(n),!0}};var Zf=class extends Ub{constructor(t,e={}){super(),this.file=t,this.options=e,y.assert(t instanceof Uint8Array||(M().get(\"IS_BROWSER\")?t instanceof File||t instanceof Blob:!1),()=>\"FileChunkIterator only supports File, Blob and Uint8Array right now.\"),this.offset=e.offset||0,this.chunkSize=e.chunkSize||1024*1024}summary(){return`FileChunks ${this.file}`}async next(){return this.offset>=(this.file instanceof Uint8Array?this.file.byteLength:this.file.size)?{value:null,done:!0}:{value:await new Promise((e,n)=>{let o=this.offset+this.chunkSize;if(this.file instanceof Uint8Array)e(new Uint8Array(this.file.slice(this.offset,o)));else{let s=new FileReader;s.onload=a=>{let u=s.result;if(u instanceof ArrayBuffer&&(u=new Uint8Array(u)),!(u instanceof Uint8Array))return n(new TypeError(\"FileReader returned unknown type.\"));e(u)},s.onabort=a=>n(new Error(\"Aborted\")),s.onerror=a=>n(new Error(a.type));let i=this.file.slice(this.offset,o);s.readAsArrayBuffer(i)}this.offset=o}),done:!1}}};async function xR(r,t={},e){let n,o;typeof r==\"string\"?n=r:(n=r.url,o=_7(r));let s=await(e||y.fetch)(n,o);if(s.ok){let i=new Uint8Array(await s.arrayBuffer());return new Zf(i,t)}else throw new Error(s.statusText)}var _7=r=>({method:r.method,headers:r.headers,body:r.body,mode:r.mode,credentials:r.credentials,cache:r.cache,redirect:r.redirect,referrer:r.referrer,integrity:r.integrity});function Hb(r){return typeof r==\"string\"&&r.slice(0,7)===\"file://\"}var Jf=class extends Yf{constructor(t,e={}){super(),this.input=t,this.options=e}async iterator(){if(Hb(this.input)&&M().get(\"IS_NODE\")){let t=qb();this.input=t.readFileSync(this.input.slice(7))}return new Zf(this.input,this.options)}};var Qf=class extends Yf{constructor(t,e={}){super(),this.url=t,this.fileOptions=e}async iterator(){return Hb(this.url)?new Jf(this.url,this.fileOptions).iterator():xR(this.url,this.fileOptions)}};function yR(r,t={}){return new Kf(new Qf(r),t)}function bR(r){let t=Dh(r);return kn(async()=>t)}function wR(r){return kn(async()=>{let t=await r();return Dh(()=>t.next())})}async function CR(r,t){return Xf.create(r,t)}async function IR(r){return jf.create(r)}var $N=\"3.21.0\";function tt(r,t){Array.isArray(r)||(r=[r]),r.forEach(e=>{e!=null&&y.assert(e.dtype!==\"complex64\",()=>`${t} does not support complex64 tensors in the CPU backend.`)})}var A7=Wr.whereImpl,Su=class extends Mo{constructor(){super(),this.blockSize=48,this.firstUse=!0,this.data=new ta(this,ho())}nextDataId(){return Su.nextDataId++}write(t,e,n){this.firstUse&&(this.firstUse=!1,M().get(\"IS_NODE\")&&S.warn(`\n============================\nHi, looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, visit https://github.com/tensorflow/tfjs-node for more details. \n============================`));let o={id:this.nextDataId()};return this.data.set(o,{values:t,dtype:n,refCount:1}),o}makeTensorInfo(t,e,n){let o;if(e===\"string\"&&n!=null&&n.length>0&&y.isString(n[0])){let s=n.map(i=>y.encodeString(i));o=this.write(s,t,e)}else o=this.write(n,t,e);return{dataId:o,shape:t,dtype:e}}refCount(t){return this.data.has(t)?this.data.get(t).refCount:0}incRef(t){let e=this.data.get(t);e.refCount++}decRef(t){if(this.data.has(t)){let e=this.data.get(t);e.refCount--}}move(t,e,n,o,s){this.data.set(t,{values:e,dtype:o,refCount:s})}numDataIds(){return this.data.numDataIds()}async read(t){return this.readSync(t)}readSync(t){let{dtype:e,complexTensorInfos:n}=this.data.get(t);if(e===\"complex64\"){let o=this.readSync(n.real.dataId),s=this.readSync(n.imag.dataId);return S.mergeRealAndImagArrays(o,s)}return this.data.get(t).values}bufferSync(t){let e=this.readSync(t.dataId);if(t.dtype===\"string\")try{let n=e.map(o=>y.decodeString(o));return wt(t.shape,t.dtype,n)}catch(n){throw new Error(\"Failed to decode encoded string bytes into utf-8\")}return wt(t.shape,t.dtype,e)}makeOutput(t,e,n){return ho().makeTensorFromTensorInfo(this.makeTensorInfo(e,n,t),this)}disposeData(t,e=!1){if(this.data.has(t)){if(this.data.get(t).refCount--,!e&&this.data.get(t).refCount>0)return!1;let{complexTensorInfos:n}=this.data.get(t);n!=null&&(this.disposeData(n.real.dataId,!0),this.disposeData(n.imag.dataId,!0)),this.data.delete(t)}return!0}disposeIntermediateTensorInfo(t){this.disposeData(t.dataId)}async time(t){let e=y.now();return t(),{kernelMs:y.now()-e}}memory(){return{unreliable:!0,reasons:[\"The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less.\"]}}where(t){tt([t],\"where\");let e=this.readSync(t.dataId);return A7(t.shape,e)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}};Su.nextDataId=0;var iw={};Gt(iw,{addImpl:()=>FN,bincountImpl:()=>rd,bincountReduceImpl:()=>Kb,castImpl:()=>RN,ceilImpl:()=>ON,concatImpl:()=>Ec,equalImpl:()=>PN,expImpl:()=>MN,expm1Impl:()=>BN,floorImpl:()=>VN,gatherNdImpl:()=>jb,gatherV2Impl:()=>Xb,greaterEqualImpl:()=>WN,greaterImpl:()=>GN,lessEqualImpl:()=>HN,lessImpl:()=>UN,linSpaceImpl:()=>Yb,logImpl:()=>qN,maxImpl:()=>Zb,maximumImpl:()=>KN,minimumImpl:()=>jN,multiplyImpl:()=>Oh,negImpl:()=>XN,notEqualImpl:()=>YN,prodImpl:()=>ZN,raggedGatherImpl:()=>Jb,raggedTensorToTensorImpl:()=>Qb,rangeImpl:()=>Ac,rsqrtImpl:()=>JN,scatterImpl:()=>ml,sigmoidImpl:()=>ZR,simpleAbsImpl:()=>DN,sliceImpl:()=>$c,sparseFillEmptyRowsImpl:()=>tw,sparseReshapeImpl:()=>ew,sparseSegmentReductionImpl:()=>sd,sqrtImpl:()=>tF,squaredDifferenceImpl:()=>tk,stridedSliceImpl:()=>rw,stringNGramsImpl:()=>Dc,stringSplitImpl:()=>Rc,stringToHashBucketFastImpl:()=>Fc,subImpl:()=>rk,tileImpl:()=>nw,topKImpl:()=>ow,transposeImpl:()=>nd,uniqueImpl:()=>sw});function DN(r){let t=new Float32Array(r.length);for(let e=0;e{let{x:t}=r.inputs,e=r.backend;tt(t,\"abs\");let n=new Float32Array(y.sizeFromShape(t.shape)),o=e.data.get(t.dataId).values;return n=DN(o),e.makeOutput(n,t.shape,t.dtype)},SR={kernelName:oi,backendName:\"cpu\",kernelFunc:$7};function Qt(r){return(t,e,n,o,s)=>{let i=S.assertAndGetBroadcastShape(t,e),a=i.length,u=y.computeStrides(i),l=y.sizeFromShape(i),c=y.getTypedArrayFromDType(s,l),p=t.length,m=e.length,f=y.computeStrides(t),d=y.computeStrides(e),h=S.getBroadcastDims(t,i),g=S.getBroadcastDims(e,i);if(h.length+g.length===0)for(let x=0;xw[A]=0);let C=y.locToIndex(w,p,f),N=b.slice(-m);g.forEach(A=>N[A]=0);let _=y.locToIndex(N,m,d);c[x]=r(n[C],o[_])}return[c,i]}}function br(r){let{inputs:t,backend:e}=r,{real:n,imag:o}=t,s=e.data.get(n.dataId).values,i=e.data.get(o.dataId).values,a=e.makeTensorInfo(n.shape,\"complex64\"),u=e.data.get(a.dataId);return u.complexTensorInfos={real:e.makeTensorInfo(n.shape,\"float32\",s),imag:e.makeTensorInfo(o.shape,\"float32\",i)},a}var NR={kernelName:pp,backendName:\"cpu\",kernelFunc:br};function td(r,t,e=\"float32\"){if(e===\"complex64\"){let o=td(r,t,\"float32\"),s=td(r,t,\"float32\");return br({inputs:{real:o,imag:s},backend:r})}let n=y.makeZerosTypedArray(y.sizeFromShape(t),e);return r.makeTensorInfo(t,e,n)}function qr(r){let{inputs:t,backend:e}=r,{x:n}=t;return e.incRef(n.dataId),{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}var kR={kernelName:lo,backendName:\"cpu\",kernelFunc:qr};function _o(r){let{inputs:t,backend:e}=r,{input:n}=t,o=e.data.get(n.dataId).complexTensorInfos.real,s=e.data.get(o.dataId).values;return e.makeTensorInfo(o.shape,o.dtype,s)}var TR={kernelName:Dp,backendName:\"cpu\",kernelFunc:_o};function RN(r,t,e,n){if(n===\"int32\"){let o=Int32Array.from(r);return[t,\"int32\",o]}if(n===\"bool\"){let o=y.toTypedArray([0],e),[s,i]=Qt((a,u)=>a!==u?1:0)(t,[],r,o,\"bool\");return[i,\"bool\",s]}throw new Error(`Error in Cast: failed to cast ${e} to ${n}`)}function Ao(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dtype:s}=n;if(s===\"complex64\"){if(o.dtype===\"complex64\")return qr({inputs:{x:o},backend:e});let c=td(e,o.shape,o.dtype),p=Ao({inputs:{x:o},backend:e,attrs:{dtype:\"float32\"}}),m=br({inputs:{real:p,imag:c},backend:e});return e.disposeIntermediateTensorInfo(c),e.disposeIntermediateTensorInfo(p),m}if(o.dtype===\"complex64\"){let c=_o({inputs:{input:o},backend:e}),p=Ao({inputs:{x:c},backend:e,attrs:{dtype:s}});return e.disposeIntermediateTensorInfo(c),p}if(!y.hasEncodingLoss(o.dtype,s)){let c=qr({inputs:{x:o},backend:e});return{dataId:c.dataId,shape:c.shape,dtype:s}}let i=e.data.get(o.dataId).values,[a,u,l]=RN(i,o.shape,o.dtype,s);return e.makeTensorInfo(a,u,l)}var ER={kernelName:io,backendName:\"cpu\",kernelFunc:Ao};function oe(r,t,e,n){return e==null?({inputs:o,backend:s})=>{let{a:i,b:a}=o,u=s;tt([i,a],r);let l=u.data.get(i.dataId).values,c=u.data.get(a.dataId).values,p=i.dtype===\"string\"?S.fromUint8ToStringArray(l):l,m=i.dtype===\"string\"?S.fromUint8ToStringArray(c):c,f=n||i.dtype,[d,h]=t(i.shape,a.shape,p,m,f);return u.makeTensorInfo(h,f,d)}:({inputs:o,backend:s})=>{let{a:i,b:a}=o,u=s;if(i.dtype===\"complex64\"||a.dtype===\"complex64\"){let l=Ao({inputs:{x:i},backend:u,attrs:{dtype:\"complex64\"}}),c=u.data.get(l.dataId),p=c.complexTensorInfos.real,m=c.complexTensorInfos.imag,f=u.data.get(p.dataId).values,d=u.data.get(m.dataId).values,h=Ao({inputs:{x:a},backend:u,attrs:{dtype:\"complex64\"}}),g=u.data.get(h.dataId),x=g.complexTensorInfos.real,b=g.complexTensorInfos.imag,w=u.data.get(x.dataId).values,C=u.data.get(b.dataId).values,[N,_,A]=e(i.shape,a.shape,f,d,w,C),$=u.makeTensorInfo(A,\"float32\",N),F=u.makeTensorInfo(A,\"float32\",_),P=br({inputs:{real:$,imag:F},backend:u});return u.disposeIntermediateTensorInfo(l),u.disposeIntermediateTensorInfo(h),u.disposeIntermediateTensorInfo($),u.disposeIntermediateTensorInfo(F),P}else{let l=u.data.get(i.dataId).values,c=u.data.get(a.dataId).values,p=n||i.dtype,[m,f]=t(i.shape,a.shape,l,c,p);return u.makeTensorInfo(f,p,m)}}}function ed(r){return(t,e,n,o,s,i)=>{let a=S.assertAndGetBroadcastShape(t,e),u=y.sizeFromShape(a),l=a.length,c=y.computeStrides(a),p=y.getTypedArrayFromDType(\"float32\",u),m=y.getTypedArrayFromDType(\"float32\",u),f=S.getBroadcastDims(t,a),d=S.getBroadcastDims(e,a),h=S.mergeRealAndImagArrays(n,o),g=S.mergeRealAndImagArrays(s,i),x=t.length,b=y.computeStrides(t),w=e.length,C=y.computeStrides(e);if(f.length+d.length===0)for(let N=0;NA[G]=0);let $=y.locToIndex(A,x,b),F=_.slice(-w);d.forEach(G=>F[G]=0);let P=y.locToIndex(F,w,C),V=r(h[$*2],h[$*2+1],g[P*2],g[P*2+1]);p[N]=V.real,m[N]=V.imag}return[p,m,a]}}var FN=Qt((r,t)=>r+t),D7=ed((r,t,e,n)=>({real:r+e,imag:t+n})),Hi=oe(Yn,FN,D7),_R={kernelName:Yn,backendName:\"cpu\",kernelFunc:Hi};function rd(r,t,e,n,o){let s=y.sizeFromShape(n),i=y.makeZerosTypedArray(o,e);for(let a=0;a=o||(s>0?i[u]+=t[a]:i[u]+=1)}return i}function Kb(r,t,e,n=!1){let o=r.shape[0],s=r.shape[1],i=wt([o,e],t.dtype);for(let a=0;a=e||(n?i.set(1,a,l):t.size>0?i.set(i.get(a,l)+t.get(a,u),a,l):i.set(i.get(a,l)+1,a,l))}return i}function xn(r){return(t,e,n)=>{let o=y.getTypedArrayFromDType(e,t.length);for(let s=0;s{let{x:i}=n;if(tt(i,r),i.dtype===\"string\"||e===\"string\")throw new Error(\"unaryKernelFunc does not support string input/output\");let a=s,u=a.data.get(i.dataId).values,l=y.sizeFromShape(i.shape),c=e||i.dtype,p=y.getArrayFromDType(c,l);for(let m=0;m{let{x:i}=n;if(tt(i,r),i.dtype===\"string\"||e===\"string\")throw new Error(\"unaryKernelFunc does not support string input/output\");let a=s,u=a.data.get(i.dataId).values,l=e||i.dtype,c=t(u,l,o);return a.makeTensorInfo(i.shape,l,c)}}var ON=xn(r=>Math.ceil(r)),R7=$o(Ho,ON),AR={kernelName:Ho,backendName:\"cpu\",kernelFunc:R7};function Ec(r,t,e,n){let o=y.getArrayFromDType(e,y.sizeFromShape(t));if(n&&e!==\"string\"){let s=0;r.forEach(i=>{let a=y.sizeFromShape(i.shape);o.set(i.vals,s),s+=a})}else{let s=0;r.forEach(i=>{let a=e===\"string\"?S.fromUint8ToStringArray(i.vals):i.vals,u=0;for(let l=0;lr===t?1:0),LN=oe(ha,PN,null,\"bool\"),$R={kernelName:ha,backendName:\"cpu\",kernelFunc:LN};var MN=xn(r=>Math.exp(r)),zN=$o(ts,MN,\"float32\"),DR={kernelName:ts,backendName:\"cpu\",kernelFunc:zN};var BN=xn(r=>Math.expm1(r)),F7=$o(ga,BN),RR={kernelName:ga,backendName:\"cpu\",kernelFunc:F7};var VN=xn(r=>Math.floor(r)),O7=$o(es,VN),FR={kernelName:es,backendName:\"cpu\",kernelFunc:O7};function jb(r,t,e,n,o,s,i,a,u){let l=wt([n,s],e);for(let c=0;c=u/s)throw new Error(`Invalid indices: ${p} does not index into ${a}`);for(let f=0;fr>t?1:0),P7=oe(ba,GN,null,\"bool\"),OR={kernelName:ba,backendName:\"cpu\",kernelFunc:P7};var WN=Qt((r,t)=>r>=t?1:0),L7=oe(os,WN,null,\"bool\"),PR={kernelName:os,backendName:\"cpu\",kernelFunc:L7};var UN=Qt((r,t)=>rr<=t?1:0),z7=oe(Sa,HN,null,\"bool\"),MR={kernelName:Sa,backendName:\"cpu\",kernelFunc:z7};function Yb(r,t,e){let n=(t-r)/(e-1),o=y.makeZerosTypedArray(e,\"float32\");o[0]=r;for(let s=1;sMath.log(r)),B7=$o(is,qN),zR={kernelName:is,backendName:\"cpu\",kernelFunc:B7};function Zb(r,t,e,n){let o=y.getTypedArrayFromDType(n,y.sizeFromShape(e));for(let s=0;sa)&&(a=l)}o[s]=a}return o}var KN=Qt((r,t)=>Math.max(r,t)),V7=oe(ls,KN),BR={kernelName:ls,backendName:\"cpu\",kernelFunc:V7};var jN=Qt((r,t)=>Math.min(r,t)),G7=oe(ms,jN),VR={kernelName:ms,backendName:\"cpu\",kernelFunc:G7};var Oh=Qt((r,t)=>r*t),W7=ed((r,t,e,n)=>({real:r*e-t*n,imag:r*n+t*e})),_c=oe(ds,Oh,W7),GR={kernelName:ds,backendName:\"cpu\",kernelFunc:_c};function XN(r,t,e){let n=y.createScalarValue(-1,e);return Oh([],t,n,r,e)}function U7(r){let{inputs:t,backend:e}=r,{x:n}=t;tt(n,\"neg\");let o=e.data.get(n.dataId).values,[s,i]=XN(o,n.shape,n.dtype);return e.makeTensorInfo(i,n.dtype,s)}var WR={kernelName:ui,backendName:\"cpu\",kernelFunc:U7};var YN=Qt((r,t)=>r!==t?1:0),H7=oe(Aa,YN,null,\"bool\"),UR={kernelName:Aa,backendName:\"cpu\",kernelFunc:H7};function nd(r,t,e,n,o){let s=t.length,i=y.sizeFromShape(t),a=y.computeStrides(t),u=y.computeStrides(o),l=y.getTypedArrayFromDType(e,y.sizeFromShape(o));for(let c=0;ce.disposeIntermediateTensorInfo(b)),e.makeTensorInfo(x,g,d)}var qR={kernelName:bs,backendName:\"cpu\",kernelFunc:q7};function K7(r,t,e){r.forEach((n,o)=>{if(n<0||n>=e){let s=y.indexToLoc(o,t.length,y.computeStrides(t)).join(\",\");throw new Error(`indices[${s}] = ${n} is not in [0, ${e})`)}})}function j7(r,t){for(let e=0;eo)throw new Error(\"Ragged splits must not point past values\");for(let s=1;sn[s])throw new Error(\"Ragged splits must be sorted in ascending order\")}}function X7(r,t,e,n){let o=[],s=0,i=t.length-1+e.length,a=new Array(i).fill(null).map(()=>[0]);j7(e,n);let u=1;for(let l=0;l=0){let h=a[d],g=h[h.length-1]-f[c];for(let x=c;xo[i]=s)}return t}function KR(r,t){let e=r.slice(0,t);for(;e.lengthn&&(n=s)}return n}static getMaxWidthValueRowID(t){let e=t.length;if(e===0)return 0;let n=0,o=t[0],s=0;for(let i=1;i\"Final length of result must be equal to firstDimension.\"),s}calculateOutputIndexRowSplit(t,e,n,o){let s=t.length,i=[];for(let a=0;a0&&i.length!==t[s-1])throw new Error(\"Invalid row split size.\");return i}calculateOutputIndexValueRowID(t,e,n,o){let s=t.length,i=[];if(s===0)return[];let a=0,u=t[0];if(u>=e.length)throw new Error(`Got currentValueRowId=${u}, which is not less than ${e.length}`);let l=e[u];i.push(l);for(let c=1;c=0&&(++a,a=e.length)throw new Error(`Got nextValueRowId=${p} which is not less than ${e.length}`);l=e[p]}i.push(l)}if(i.length!==t.length)throw new Error(\"Invalid row ids.\");return i}calculateOutputIndex(t,e,n,o){let s=this.getRowPartitionTensor(t),i=this.getRowPartitionTypeByDimension(t);switch(i){case Do.VALUE_ROWIDS:return this.calculateOutputIndexValueRowID(s,e,n,o);case Do.ROW_SPLITS:if(s.length-1>e.length)throw new Error(`Row partition size is greater than output size: ${s.length-1} > ${e.length}`);return this.calculateOutputIndexRowSplit(s,e,n,o);default:throw new Error(`Unsupported partition type: ${Do[i]}`)}}getFirstDimensionSize(){let t=this.rowPartitionValues[0];if(this.rowPartitionTypes.length===0)throw new Error(\"No row_partition_types given.\");let e=this.rowPartitionTypes[0];switch(e){case Do.FIRST_DIM_SIZE:return t[0];case Do.VALUE_ROWIDS:throw new Error(\"Cannot handle VALUE_ROWIDS in first dimension.\");case Do.ROW_SPLITS:return this.rowPartitionValuesShapes[0][0]-1;default:throw new Error(`Cannot handle type ${Do[e]}`)}}compute(){if(this.rowPartitionValues[0].length<=0)throw new Error(\"Invalid first partition input. Tensor requires at least one element.\");let e=this.getFirstDimensionSize(),n=this.calculateOutputSize(e),o=new Array(this.raggedRank+1);o[o.length-1]=1;for(let u=o.length-2;u>=0;--u)o[u]=o[u+1]*n[u+1];let s=XR(n,!1),i=y.getArrayFromDType(this.valuesDType,y.sizeFromShape(s));if(o[0]*n[0]>0){let u=this.calculateFirstParentOutputIndex(e,o[0],n[0]);for(let l=1;l<=this.raggedRank;++l)u=this.calculateOutputIndex(l-1,u,o[l],n[l]);this.setOutput(this.raggedRank,u,i,s)}return[s,i]}setOutput(t,e,n,o){if(n.length===0)return;let s=this.values,i=n,a=o.slice();a=a.slice(t+1);let u=y.sizeFromShape(a),l=e.length,c=this.defaultValue;if(c.length!==u&&c.length!==1){let d=this.defaultValueShape;B(()=>{let h=D(c,d);c=$i(h,a).dataSync()})}let p=0,m=0,f=0;for(let d=0;d<=l;++d){let h=d=l){let g=n.length;h=Math.floor(g/u)}if(h>f)if(this.defaultValue.length===1)i.subarray(f*u,h*u).fill(this.defaultValue[0]),f=h;else for(;h>f;){let g=i.slice(f*u);jR(g,c,u),++f}h<0?(p=d+1,m=f):(p=d,m=f,f=m+1)}}};function jR(r,t,e){for(let n=0;n= 0`);if(n<-1)throw new Error(`Dimension ${n} must be >= -1`);n=-1}e.push(n)}return e}function Qb(r,t,e,n,o,s,i,a,u,l){return new od(r,t,e,n,o,s,i,a,u,l).compute()}function Ac(r,t,e,n){let o=r===t,s=r1;if(o||s||i)return y.makeZerosTypedArray(0,n);let a=Math.abs(Math.ceil((t-r)/e)),u=y.makeZerosTypedArray(a,n);t1/Math.sqrt(r)),Q7=$o(ks,JN),YR={kernelName:ks,backendName:\"cpu\",kernelFunc:Q7};function ml(r,t,e,n,o,s,i,a,u,l){let c=[n/o,o],p=r.values,m=t.values;if(n===0)return wt(e,t.dtype);let f=wt(c,t.dtype);typeof u==\"string\"||typeof u==\"number\"?f.values.fill(u):typeof u==\"boolean\"&&f.values.fill(+u);for(let d=0;d=n/o)throw new Error(`Invalid indices: ${h} does not index into ${e}`);for(let x=0;x1/(1+Math.exp(-r))),QN=kt(Es,r=>1/(1+Math.exp(-r))),JR={kernelName:Es,backendName:\"cpu\",kernelFunc:QN};function $c(r,t,e,n,o){let s=Pe.isSliceContinous(n,t,e),i=y.sizeFromShape(e),a=y.computeStrides(n);if(s){let p=Pe.computeFlatOffset(t,a);return o===\"string\"?r.slice(p,p+i):r.subarray(p,p+i)}let u=o===\"string\"?S.fromUint8ToStringArray(r):r,l=wt(n,o,u),c=wt(e,o);for(let p=0;pd+t[h]);c.set(l.get(...f),...m)}return o===\"string\"?S.fromStringArrayToUint8(c.values):c.values}function Ro(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,size:i}=n;tt(o,\"slice\");let[a,u]=Pe.parseSliceParams(o,s,i);Pe.assertParamsValid(o,a,u);let l=e.data.get(o.dataId).values,c=$c(l,a,u,o.shape,o.dtype);return e.makeTensorInfo(u,o.dtype,c)}var QR={kernelName:di,backendName:\"cpu\",kernelFunc:Ro};function tw(r,t,e,n,o,s,i){let a=t[0],u=s[0],l=new Array(u),c=new Array(a),p=t[1];if(u===0){if(a!==0)throw new Error(S.getSparseFillEmptyRowsIndicesDenseShapeMismatch(a));let g=y.getArrayFromDType(e,0),x=y.getArrayFromDType(o,0);return[g,[0,p],x,l,c]}let m=!0,f=0,d=new Array(u).fill(0);for(let g=0;g=u)throw new Error(S.getSparseFillEmptyRowsOutOfRangeIndexErrorMessage(g,x,u));++d[x],m=m&&x>=f,f=x}let h=!0;for(let g=0;g0&&(d[g]+=d[g-1])}if(h&&m){let g=r,x=n;for(let b=0;b0){f[m-1]=1;for(let g=m-2;g>=0;--g)f[g]=f[g+1]*n[g+1]}let d=[];if(a>0){d[a-1]=1;for(let g=a-2;g>=0;--g)d[g]=d[g+1]*u[g+1]}let h=y.getArrayFromDType(e,i*a);for(let g=0;g0?o[a-1]+1:0;if(p<0)throw new Error(S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let m=t.slice();m[0]=p;let f=m.reduce((w,C)=>w*C,1),d=y.getArrayFromDType(e,f);if(a===0)return p>0&&d.fill(i),[d,m];if(p<=0)throw new Error(S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let h=0,g=1,x=0,b=o[h];for(;;){let w=0;if(g=w)throw new Error(S.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage())}if(b<0||b>=p)throw new Error(S.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(b,p));b>x&&d.fill(i,x*l,b*l);for(let C=h;C=u[0])throw new Error(S.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(C,n[C],u[0]));for(let _=0;_a)break}return xMath.sqrt(r)),tJ=kt(_s,r=>Math.sqrt(r)),eF={kernelName:_s,backendName:\"cpu\",kernelFunc:tJ};var tk=Qt((r,t)=>{let e=r-t;return e*e}),eJ=oe(Ds,tk),rF={kernelName:Ds,backendName:\"cpu\",kernelFunc:eJ};function rw(r,t,e,n){let o=wt(r,t.dtype);for(let s=0;s0?0:a-u),f=0;f+=l*this.leftPad.length;for(let b=0;bb.forEach(w=>h[g++]=w);for(let b=0;b0){x(t[m+p-1]);for(let b=0;b0){let u=e[0];if(u!==0)throw new Error(`First split value must be 0, got ${u}`);for(let l=1;l=u;if(c=c&&e[l]<=n,!c)throw new Error(`Invalid split value ${e[l]}, must be in [${u}, ${n}]`);u=e[l]}if(u!==n)throw new Error(`Last split value must be data size. Expected ${n}, got ${u}`)}let s=o-1,i=y.getArrayFromDType(\"int32\",o);if(n===0||o===0){let u=new Array(n);for(let l=0;l<=s;++l)i[l]=0;return[u,i]}i[0]=0;for(let u=1;u<=s;++u){let l=e[u]-e[u-1],c=0;this.nGramWidths.forEach(p=>{c+=this.getNumNGrams(l,p)}),this.preserveShort&&l>0&&c===0&&(c=1),i[u]=i[u-1]+c}let a=new Array(i[s]);for(let u=0;u{let m=e[u+1]-e[u],f=this.getNumNGrams(m,p);this.createNGrams(t,l,a,c,f,p),c+=f}),this.preserveShort&&c===i[u]){let p=e[u+1]-e[u];if(p===0)continue;let m=p+2*this.padWidth,f=1;this.createNGrams(t,l,a,c,f,m)}}return[a,i]}};function Dc(r,t,e,n,o,s,i,a){return new ek(e,n,o,s,i,a).compute(r,t)}function rJ(r,t,e,n){if(!r.length)return;if(t.length===0){for(let s=0;sr-t),nJ=ed((r,t,e,n)=>({real:r-e,imag:t-n})),Ph=oe(Rs,rk,nJ),nF={kernelName:Rs,backendName:\"cpu\",kernelFunc:Ph};function nw(r,t){let e=new Array(r.rank);for(let o=0;o{let e=t.value-r.value;return e===0?r.index-t.index:e};function oF(r,t,e=0,n=r.length-1){for(;n>e;){if(n-e>600){let a=n-e+1,u=t-e+1,l=Math.log(a),c=.5*Math.exp(2*l/3),p=.5*Math.sqrt(l*c*(a-c)/a)*Math.sign(u-a/2),m=Math.max(e,Math.floor(t-u*c/a+p)),f=Math.min(n,Math.floor(t+(a-u)*c/a+p));oF(r,t,m,f)}let o=r[t],s=e,i=n;for(y.swap(r,e,t),Lh(r[n],o)>0&&y.swap(r,e,n);s0;)i=i-1}Lh(r[e],o)===0?y.swap(r,e,i):(i=i+1,y.swap(r,i,n)),i<=t&&(e=i+1),t<=i&&(n=i-1)}}function ow(r,t,e,n,o){let s=t[t.length-1],[i,a]=[r.length/s,s],u=y.getTypedArrayFromDType(e,i*n),l=y.getTypedArrayFromDType(\"int32\",i*n);for(let p=0;pd[w]={value:b,index:w}),n{for(let g=0;gnew Su,1);var nk=kt(Qo,r=>r>=0?r:Math.exp(r)-1),sF={kernelName:Qo,backendName:\"cpu\",kernelFunc:nk};function ok(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{alpha:s}=n;tt([o],\"leakyRelu\");let i=y.sizeFromShape(o.shape),a=e.data.get(o.dataId).values,u=y.getTypedArrayFromDType(\"float32\",i);for(let l=0;lr<0?t*r:r);function sk(r){let{inputs:t,backend:e}=r,{x:n,alpha:o}=t;tt([n,o],\"prelu\");let s=e.data.get(n.dataId).values,i=e.data.get(o.dataId).values,[a,u]=sJ(n.shape,o.shape,s,i,\"float32\");return e.makeTensorInfo(u,\"float32\",a)}var aF={kernelName:ys,backendName:\"cpu\",kernelFunc:sk};var ik=kt(ws,r=>Math.max(0,r)),lF={kernelName:ws,backendName:\"cpu\",kernelFunc:ik};var ak=kt(vs,r=>Math.min(Math.max(0,r),6)),uF={kernelName:vs,backendName:\"cpu\",kernelFunc:ak};function Oc(r,t,e,n,o){if(e===\"linear\")return qr({inputs:{x:t},backend:r});if(e===\"relu\")return ik({inputs:{x:t},backend:r});if(e===\"elu\")return nk({inputs:{x:t},backend:r});if(e===\"relu6\")return ak({inputs:{x:t},backend:r});if(e===\"prelu\")return sk({inputs:{x:t,alpha:n},backend:r});if(e===\"leakyrelu\")return ok({inputs:{x:t},backend:r,attrs:{alpha:o}});if(e===\"sigmoid\")return QN({inputs:{x:t},backend:r});throw new Error(`Activation ${e} has not been implemented for the CPU backend.`)}function Xt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{shape:s}=n,i=y.sizeFromShape(o.shape),a=y.inferFromImplicitShape(s,i),u=y.sizeFromShape(a);y.assert(i===u,()=>`The new shape (${a}) has ${u} elements and the old shape (${o.shape}) has ${i} elements. The new shape and old shape must have the same number of elements.`),e.incRef(o.dataId);let l=e.data.get(o.dataId);if(l.complexTensorInfos!=null){let c=l.complexTensorInfos.real,p=l.complexTensorInfos.imag;c.shape=a,p.shape=a}return{dataId:o.dataId,shape:a,dtype:o.dtype}}var cF={kernelName:mi,backendName:\"cpu\",kernelFunc:Xt};function lk(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s}=t,{transposeA:i,transposeB:a}=n;tt([o,s],\"matMul\");let u=o.shape.length,l=s.shape.length,c=i?o.shape[u-2]:o.shape[u-1],p=a?s.shape[l-1]:s.shape[l-2],m=i?o.shape[u-1]:o.shape[u-2],f=a?s.shape[l-2]:s.shape[l-1],d=o.shape.slice(0,-2),h=s.shape.slice(0,-2),g=y.sizeFromShape(d),x=y.sizeFromShape(h),w=zr.assertAndGetBroadcastShape(o.shape.slice(0,-2),s.shape.slice(0,-2)).concat([m,f]);y.assert(c===p,()=>`Error in matMul: inner shapes (${c}) and (${p}) of Tensors with shapes ${o.shape} and ${s.shape} and transposeA=${i} and transposeB=${a} must match.`);let C=i?[g,c,m]:[g,m,c],N=a?[x,f,p]:[x,p,f],_=Xt({inputs:{x:o},backend:e,attrs:{shape:C}}),A=Xt({inputs:{x:s},backend:e,attrs:{shape:N}}),$=i?_.shape[1]:_.shape[2],F=i?_.shape[2]:_.shape[1],P=a?A.shape[1]:A.shape[2],V=Math.max(g,x),G=e.data.get(_.dataId).values,W=e.data.get(A.dataId).values,q=y.computeStrides(_.shape),H=y.computeStrides(A.shape),[j,Y,Z]=i?[q[0],1,q[1]]:[q[0],q[1],1],[et,rt,ot]=a?[1,H[1],H[0]]:[H[1],1,H[0]],at=F*P,nt=wt([V,F,P],_.dtype),it=nt.values,dt=e.blockSize;for(let ht=0;htMath.acos(r)),fF={kernelName:ra,backendName:\"cpu\",kernelFunc:aJ};var lJ=kt(na,r=>Math.acosh(r)),dF={kernelName:na,backendName:\"cpu\",kernelFunc:lJ};function uJ(r){let{inputs:t,backend:e}=r,n=t;tt(t,\"addN\");let o=n.map(a=>e.data.get(a.dataId).values),s=wt(n[0].shape,n[0].dtype),i=s.values;for(let a=0;ab&&(b=N,w=C)}f[g]=w}return l.forEach(g=>e.disposeIntermediateTensorInfo(g)),e.makeTensorInfo(c,\"int32\",f)}var yF={kernelName:Go,backendName:\"cpu\",kernelFunc:mJ};function fJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s}=n;tt(o,\"argMin\");let i=y.parseAxisParam(s,o.shape),a=S.getAxesPermutation(i,o.shape.length),u=o,l=[];a!=null&&(u=Be({inputs:{x:o},backend:e,attrs:{perm:a}}),l.push(u),i=S.getInnerMostAxes(i.length,u.shape.length)),i=[i[0]],S.assertAxesAreInnerMostDims(\"argMin\",i,u.shape.length);let[c,p]=S.computeOutAndReduceShapes(u.shape,i),m=y.sizeFromShape(c),f=y.makeZerosTypedArray(m,\"int32\"),d=y.sizeFromShape(p),h=e.data.get(u.dataId).values;for(let g=0;ge.disposeIntermediateTensorInfo(g)),e.makeTensorInfo(c,\"int32\",f)}var bF={kernelName:Nl,backendName:\"cpu\",kernelFunc:fJ};var dJ=kt(ia,r=>Math.asin(r)),wF={kernelName:ia,backendName:\"cpu\",kernelFunc:dJ};var hJ=kt(aa,r=>Math.asinh(r)),CF={kernelName:aa,backendName:\"cpu\",kernelFunc:hJ};var gJ=kt(la,r=>Math.atan(r)),IF={kernelName:la,backendName:\"cpu\",kernelFunc:gJ};var xJ=Qt((r,t)=>Math.atan2(r,t)),yJ=oe(ca,xJ),vF={kernelName:ca,backendName:\"cpu\",kernelFunc:yJ};var bJ=kt(ua,r=>Math.atanh(r)),SF={kernelName:ua,backendName:\"cpu\",kernelFunc:bJ};function id(r,t,e,n,o,s){let i=o.strideHeight,a=o.strideWidth,u=o.dilationHeight,l=o.dilationWidth,c=o.effectiveFilterHeight,p=o.effectiveFilterWidth,m=o.padInfo.top,f=o.padInfo.left,d=s===\"max\"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,h=wt(o.outShape,e),g=h.values,x=o.outShape[1]*o.outShape[2]*o.outShape[3],b=o.outShape[2]*o.outShape[3],w=o.outShape[3];for(let C=0;CY?Y=dt:s===\"avg\"&&(Z+=dt,et++)}if(isNaN(Y))break}let rt=G+W*w+A;g[rt]=s===\"avg\"?Z/et:Y}}}return h}function aw(r,t,e,n,o=!1,s=!1){let i=wt(n.outShape,\"int32\"),a=n.strideHeight,u=n.strideWidth,l=n.dilationHeight,c=n.dilationWidth,p=n.effectiveFilterHeight,m=n.effectiveFilterWidth,f=n.padInfo.top,d=n.padInfo.left,h=wt(t,e,r);for(let g=0;gP&&(P=j,o?V=s?((g*n.inHeight+G)*n.inWidth+q)*n.inChannels+x:(G*n.inWidth+q)*n.inChannels+x:V=W*m+H)}}i.set(V,g,b,_,x)}}return i}function lw(r,t,e,n,o,s){let i=o.strideDepth,a=o.strideHeight,u=o.strideWidth,l=o.dilationDepth,c=o.dilationHeight,p=o.dilationWidth,m=o.effectiveFilterDepth,f=o.effectiveFilterHeight,d=o.effectiveFilterWidth,h=o.padInfo.front,g=o.padInfo.top,x=o.padInfo.left,b=s===\"max\"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,w=wt(o.outShape,e),C=w.values,N=o.outShape[1]*o.outShape[2]*o.outShape[3]*o.outShape[4],_=o.outShape[2]*o.outShape[3]*o.outShape[4],A=o.outShape[3]*o.outShape[4],$=o.outShape[4];for(let F=0;FTt?Tt=Ge:s===\"avg\"&&(_t+=Ge,Bt++),isNaN(Tt))break}if(isNaN(Tt))break}if(isNaN(Tt))break}let Yt=bt+G;C[Yt]=s===\"avg\"?_t/Bt:Tt}}}}return w}function NF(r,t){let e=wt(t.outShape,\"int32\"),n=t.strideDepth,o=t.strideHeight,s=t.strideWidth,i=t.dilationDepth,a=t.dilationHeight,u=t.dilationWidth,l=t.effectiveFilterDepth,c=t.effectiveFilterHeight,p=t.effectiveFilterWidth,m=t.padInfo.front,f=t.padInfo.top,d=t.padInfo.left;for(let h=0;h=W&&(W=ot,q=j*c*p+Z*c+rt)}}}e.set(q,h,x,N,F,g)}}}return e}function wJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t;tt(o,\"avgPool\");let{filterSize:s,strides:i,pad:a,dimRoundingMode:u}=n,l=1;y.assert(S.eitherStridesOrDilationsAreOne(i,l),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);let c=S.computePool2DInfo(o.shape,s,i,l,a,u),p;if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))p=qr({inputs:{x:o},backend:e});else{let m=e.data.get(o.dataId).values,f=y.computeStrides(o.shape),d=id(m,o.shape,o.dtype,f,c,\"avg\");p=e.makeTensorInfo(c.outShape,o.dtype,d.values)}return p}var kF={kernelName:Wo,backendName:\"cpu\",kernelFunc:wJ};function CJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{filterSize:s,strides:i,pad:a,dimRoundingMode:u,dataFormat:l}=n;tt(o,\"avgPool3d\");let c=S.computePool3DInfo(o.shape,s,i,1,a,u,l),p=e.data.get(o.dataId).values,m=lw(p,o.shape,o.dtype,y.computeStrides(o.shape),c,\"avg\");return e.makeTensorInfo(m.shape,\"float32\",m.values)}var TF={kernelName:kl,backendName:\"cpu\",kernelFunc:CJ};function IJ(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,{filterSize:i,strides:a,pad:u,dimRoundingMode:l}=n;tt([o,s],\"avgPool3DGrad\");let c=S.computePool3DInfo(s.shape,i,a,1,u,l),p=c.strideDepth,m=c.strideHeight,f=c.strideWidth,d=c.filterDepth,h=c.filterHeight,g=c.filterWidth,x=c.dilationDepth,b=c.dilationHeight,w=c.dilationWidth,C=c.effectiveFilterDepth,N=c.effectiveFilterHeight,_=c.effectiveFilterWidth,A=C-1-c.padInfo.front,$=_-1-c.padInfo.left,F=N-1-c.padInfo.top,P=wt(s.shape,\"float32\"),V=1/(d*h*g),G=e.bufferSync(o);for(let W=0;W=c.outDepth||Math.floor(nt)!==nt))for(let it=0;it=c.outHeight||Math.floor(dt)!==dt))for(let ht=0;ht<_;ht+=w){let bt=(rt+ht)/f;if(bt<0||bt>=c.outWidth||Math.floor(bt)!==bt)continue;ot+=G.get(W,nt,dt,bt,q)}}}P.set(ot*V,W,H,j,Y,q)}return e.makeTensorInfo(P.shape,P.dtype,P.values)}var EF={kernelName:lp,backendName:\"cpu\",kernelFunc:IJ};function vJ(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s;tt([o,s],\"avgPoolGrad\");let{filterSize:a,strides:u,pad:l}=n,c=S.computePool2DInfo(i.shape,a,u,1,l),p=c.strideHeight,m=c.strideWidth,f=c.filterHeight,d=c.filterWidth,h=c.dilationHeight,g=c.dilationWidth,x=c.effectiveFilterHeight,b=c.effectiveFilterWidth,w=b-1-c.padInfo.left,C=x-1-c.padInfo.top,N=wt(i.shape,\"float32\"),_=1/(f*d),A=e.data.get(o.dataId).values,$=wt(o.shape,\"float32\",A);for(let F=0;F=c.outHeight||Math.floor(Y)!==Y))for(let Z=0;Z=c.outWidth||Math.floor(et)!==et)continue;H+=$.get(F,Y,et,P)}}N.set(H*_,F,V,G,P)}return e.makeTensorInfo(N.shape,N.dtype,N.values)}var _F={kernelName:ap,backendName:\"cpu\",kernelFunc:vJ};function SJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,scale:s,offset:i,mean:a,variance:u}=t;y.assert(a.shape.length===u.shape.length,()=>\"Batch normalization gradient requires mean and variance to have equal ranks.\"),y.assert(i==null||a.shape.length===i.shape.length,()=>\"Batch normalization gradient requires mean and offset to have equal ranks.\"),y.assert(s==null||a.shape.length===s.shape.length,()=>\"Batch normalization gradient requires mean and scale to have equal ranks.\"),tt([o,a,u,s,i],\"batchNorm\");let{varianceEpsilon:l}=n;l==null&&(l=.001);let c=e.data.get(o.dataId).values,p=e.data.get(a.dataId).values,m=e.data.get(u.dataId).values,f=s?e.data.get(s.dataId).values:new Float32Array([1]),d=i?e.data.get(i.dataId).values:new Float32Array([0]),h=new Float32Array(c.length),g=d.length,x=f.length,b=m.length,w=p.length,C=0,N=0,_=0,A=0;for(let $=0;$=g&&(C=0),N>=w&&(N=0),_>=x&&(_=0),A>=b&&(A=0);return e.makeTensorInfo(o.shape,o.dtype,h)}var AF={kernelName:ns,backendName:\"cpu\",kernelFunc:SJ};function NJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,crops:i}=n;tt([o],\"batchToSpaceND\");let a=s.reduce((x,b)=>x*b),u=S.getReshaped(o.shape,s,a),l=S.getPermuted(u.length,s.length),c=S.getReshapedPermuted(o.shape,s,a),p=S.getSliceBeginCoords(i,s.length),m=S.getSliceSize(c,i,s.length),f=Xt({inputs:{x:o},backend:e,attrs:{shape:u}}),d=Be({inputs:{x:f},backend:e,attrs:{perm:l}}),h=Xt({inputs:{x:d},backend:e,attrs:{shape:c}}),g=Ro({inputs:{x:h},backend:e,attrs:{begin:p,size:m}});return e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(h),g}var $F={kernelName:si,backendName:\"cpu\",kernelFunc:NJ};function kJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,weights:s}=t,{size:i}=n,a=e.data.get(o.dataId).values,u=e.data.get(s.dataId).values,l=rd(a,u,s.dtype,s.shape,i);return e.makeTensorInfo([i],s.dtype,l)}var DF={kernelName:up,backendName:\"cpu\",kernelFunc:kJ};function TJ(r){let{inputs:t,backend:e}=r,{s0:n,s1:o}=t,s=e.data.get(n.dataId).values,i=e.data.get(o.dataId).values,a=S.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return e.makeTensorInfo([a.length],\"int32\",Int32Array.from(a))}var RF={kernelName:cp,backendName:\"cpu\",kernelFunc:TJ};var EJ=kt(ao,(r,t)=>{let e=t;return r>e.clipValueMax?e.clipValueMax:r{let{x:t}=r.inputs,e=r.backend,n=new Float32Array(y.sizeFromShape(t.shape)),o=e.data.get(t.dataId),s=o.complexTensorInfos.real,i=o.complexTensorInfos.imag,a=e.data.get(s.dataId).values,u=e.data.get(i.dataId).values;for(let l=0;lh.shape);S.assertParamsConsistent(i,s);let a=S.computeOutShape(t.map(h=>h.shape),s);if(y.sizeFromShape(a)===0)return e.makeTensorInfo(a,t[0].dtype,[]);let u=t.filter(h=>y.sizeFromShape(h.shape)>0);if(u.length===1)return qr({inputs:{x:u[0]},backend:e});if(u[0].dtype===\"complex64\"){let h=u.map(C=>_o({inputs:{input:C},backend:e})),g=u.map(C=>qi({inputs:{input:C},backend:e})),x=Nu({inputs:h,backend:e,attrs:{axis:s}}),b=Nu({inputs:g,backend:e,attrs:{axis:s}}),w=br({inputs:{real:x,imag:b},backend:e});return h.forEach(C=>e.disposeIntermediateTensorInfo(C)),g.forEach(C=>e.disposeIntermediateTensorInfo(C)),e.disposeIntermediateTensorInfo(x),e.disposeIntermediateTensorInfo(b),w}let l=u.map(h=>{let g=y.sizeFromShape(h.shape.slice(s));return Xt({inputs:{x:h},backend:e,attrs:{shape:[-1,g]}})}),c=l.map(h=>({vals:e.data.get(h.dataId).values,shape:h.shape}));a=S.computeOutShape(l.map(h=>h.shape),1);let p=l[0].shape[0]===1,m=Ec(c,a,t[0].dtype,p),f=S.computeOutShape(u.map(h=>h.shape),s),d=e.makeTensorInfo(f,t[0].dtype,m);return l.forEach(h=>e.disposeIntermediateTensorInfo(h)),d}var LF={kernelName:ii,backendName:\"cpu\",kernelFunc:Nu};function uk(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dataFormat:u,dilations:l,dimRoundingMode:c}=n;tt([o,s],\"conv2d\");let p=S.convertConv2DDataFormat(u),m=S.computeConv2DInfo(o.shape,s.shape,i,l,a,c,!1,p),f=m.filterHeight,d=m.filterWidth,h=m.dilationHeight,g=m.dilationWidth,x=m.padInfo.left,b=m.padInfo.top,w=m.dataFormat===\"channelsLast\",C=new pe(m.outShape,o.dtype),N=y.computeStrides(o.shape),_=y.computeStrides(s.shape),A=N[0],$=w?N[1]:N[2],F=w?N[2]:1,P=w?1:N[1],V=C.strides[0],G=w?C.strides[1]:C.strides[2],W=w?C.strides[2]:1,q=w?1:C.strides[1],H=e.data.get(o.dataId).values,j=e.data.get(s.dataId).values,Y=C.values;for(let Z=0;Z=m.inHeight)continue;let ht=it*_[0],bt=et+dt*$;for(let Tt=0;Tt=m.inWidth)continue;let he=ht+Yt*_[1],Kt=bt+ce*F,Te=he;for(let fe=0;fe=l.inDepth)continue;let Z=j*F[0],et=V+Y*$[1];for(let rt=0;rt=l.inHeight)continue;let dt=Z+nt*F[1],ht=et+it*$[2];for(let bt=0;bt=l.inWidth)continue;let ce=dt+Bt*F[2],he=ht+Yt*l.inChannels,Kt=ce;for(let Te=0;TeMath.cos(r)),UF={kernelName:jo,backendName:\"cpu\",kernelFunc:OJ};var PJ=kt(Xo,r=>Math.cosh(r)),HF={kernelName:Xo,backendName:\"cpu\",kernelFunc:PJ};function LJ(r){let{inputs:t,backend:e,attrs:n}=r,{image:o,boxes:s,boxInd:i}=t,{cropSize:a,method:u,extrapolationValue:l}=n,[c,p,m,f]=o.shape,d=s.shape[0],[h,g]=a,x=wt([d,h,g,f],\"float32\"),b=e.data.get(s.dataId).values,w=e.data.get(i.dataId).values,C=e.data.get(o.dataId).values,N=y.computeStrides(o.shape),_=y.computeStrides(x.shape);for(let A=0;A=c)continue;let q=h>1?(V-F)*(p-1)/(h-1):0,H=g>1?(G-P)*(m-1)/(g-1):0;for(let j=0;j1?F*(p-1)+j*q:.5*(F+V)*(p-1);if(Y<0||Y>p-1){for(let Z=0;Z1?P*(m-1)+ot*H:.5*(P+G)*(m-1);if(at<0||at>m-1){for(let ht=0;ht1?P*(m-1)+Z*H:.5*(P+G)*(m-1);if(et<0||et>m-1){for(let at=0;atx+d-b-1:(x,b)=>x+b;for(let x=0;xx+d-b-1:(x,b)=>x+b;for(let x=0;x`Only NHWC dataFormat supported on CPU for depthToSpace. Got ${i}`);let a=o.shape[0],u=o.shape[1],l=o.shape[2],c=o.shape[3],p=u*s,m=l*s,f=c/(s*s),d=e.data.get(o.dataId).values,h=new Float32Array(a*p*m*f),g=0;for(let x=0;x`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${m}'`);let f=S.computeConv2DInfo(o.shape,s.shape,i,m,a,l,!0),{filterHeight:d,filterWidth:h,dilationHeight:g,dilationWidth:x,padInfo:b}=f,w=b.left,C=b.top,N=f.outChannels/f.inChannels,_=new pe(f.outShape,o.dtype),A=e.data.get(o.dataId).values,$=e.data.get(s.dataId).values,F=_.values;for(let P=0;P=f.inHeight)continue;let Z=j*p[0],et=V+Y*c[1];for(let rt=0;rt=f.inWidth)continue;let dt=Z+nt*p[1],ht=et+it*f.inChannels,bt=ot,Tt=dt;for(let _t=0;_t{let{x:n,filter:o}=r,{strides:s,pad:i,dilations:a}=e,u=t,l=u.data.get(n.dataId).values,c=n.shape.length,p=u.data.get(o.dataId).values,m=o.shape.length,{batchSize:f,inHeight:d,inWidth:h,inChannels:g,outHeight:x,outWidth:b,padInfo:w,strideHeight:C,strideWidth:N,filterHeight:_,filterWidth:A,dilationHeight:$,dilationWidth:F,outShape:P}=S.computeDilation2DInfo(n.shape,o.shape,s,i,\"NHWC\",a),V=y.sizeFromShape(P),G=P.length,W=y.getArrayFromDType(n.dtype,V);for(let H=0;H=0&&it=0&&htot&&(ot=_t)}}}let at=y.locToIndex([H,j,Z,rt],G,y.computeStrides(P));W[at]=ot}}}return{dataId:u.write(y.toTypedArray(W,n.dtype),P,n.dtype),shape:P,dtype:n.dtype}}};var rO={kernelName:Hd,backendName:\"cpu\",kernelFunc:({inputs:r,backend:t,attrs:e})=>{let{x:n,filter:o,dy:s}=r,{strides:i,pad:a,dilations:u}=e,l=t,c=y.toNestedArray(n.shape,l.data.get(n.dataId).values),p=y.toNestedArray(o.shape,l.data.get(o.dataId).values),{batchSize:m,inHeight:f,inWidth:d,inChannels:h,outHeight:g,outWidth:x,padInfo:b,strideHeight:w,strideWidth:C,filterHeight:N,filterWidth:_,dilationHeight:A,dilationWidth:$,outShape:F}=S.computeDilation2DInfo(n.shape,o.shape,i,a,\"NHWC\",u);y.assert(s.rank===F.length,()=>`Error in ${Hd}, dy must have the same rank as output ${F.length}, but got ${s.rank}`);let P=y.toNestedArray(F,l.data.get(s.dataId).values),V=y.makeZerosNestedTypedArray(o.shape,o.dtype);for(let W=0;W=0&&nt=0&&dtet&&(et=ht,rt=at,ot=it)}}}V[rt][ot][Z]+=P[W][q][j][Z]}}}return{dataId:l.write(y.toTypedArray(V,n.dtype),o.shape,o.dtype),shape:o.shape,dtype:o.dtype}}};var nO={kernelName:Ud,backendName:\"cpu\",kernelFunc:({inputs:r,backend:t,attrs:e})=>{let{x:n,filter:o,dy:s}=r,{strides:i,pad:a,dilations:u}=e,l=t,c=y.toNestedArray(n.shape,l.data.get(n.dataId).values),p=y.toNestedArray(o.shape,l.data.get(o.dataId).values),{batchSize:m,inHeight:f,inWidth:d,inChannels:h,outHeight:g,outWidth:x,padInfo:b,strideHeight:w,strideWidth:C,filterHeight:N,filterWidth:_,dilationHeight:A,dilationWidth:$,outShape:F}=S.computeDilation2DInfo(n.shape,o.shape,i,a,\"NHWC\",u);y.assert(s.rank===F.length,()=>`Error in ${Ud}, dy must have the same rank as output ${F.length}, but got ${s.rank}`);let P=y.toNestedArray(F,l.data.get(s.dataId).values),V=y.makeZerosNestedTypedArray(n.shape,n.dtype);for(let W=0;W=0&&nt=0&&dtet&&(et=ht,rt=nt,ot=dt)}}}V[W][rt][ot][Z]+=P[W][q][j][Z]}}}return{dataId:l.write(y.toTypedArray(V,n.dtype),n.shape,n.dtype),shape:n.shape,dtype:n.dtype}}};function fl(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n;tt(o,\"sum\");let a;o.dtype===\"bool\"?a=Ao({inputs:{x:o},backend:e,attrs:{dtype:\"int32\"}}):a=qr({inputs:{x:o},backend:e});let u=a.shape.length,l=y.parseAxisParam(s,a.shape),c=S.getAxesPermutation(l,u),p=l,m=a;c!=null&&(m=Be({inputs:{x:a},backend:e,attrs:{perm:c}}),p=S.getInnerMostAxes(p.length,u)),S.assertAxesAreInnerMostDims(\"sum\",p,m.shape.length);let[f,d]=S.computeOutAndReduceShapes(m.shape,p),h=S.upcastType(m.dtype,\"int32\"),g=td(e,f,h),x=y.sizeFromShape(d),b=e.data.get(g.dataId).values,w=e.data.get(m.dataId).values;for(let C=0;C=0&&(m=fl({inputs:{x:m},backend:e,attrs:{axis:l[h]-(i.length-f),keepDims:!1}}),d.push(m)),f--)}for(let h of d)h!==m&&e.disposeIntermediateTensorInfo(h);return m}var sO={kernelName:bp,backendName:\"cpu\",kernelFunc:HJ};function qJ(r){let{inputs:t,backend:e}=r,{dy:n,y:o}=t;tt([n,o],\"eluGrad\");let s=new Float32Array(y.sizeFromShape(o.shape)),i=e.data.get(o.dataId).values,a=e.data.get(n.dataId).values;for(let u=0;u=1?s[u]=a[u]:s[u]=a[u]*(l+1)}return e.makeTensorInfo(o.shape,\"float32\",s)}var iO={kernelName:wp,backendName:\"cpu\",kernelFunc:qJ};var KJ=S.ERF_P,jJ=S.ERF_A1,XJ=S.ERF_A2,YJ=S.ERF_A3,ZJ=S.ERF_A4,JJ=S.ERF_A5,QJ=kt(da,r=>{let t=Math.sign(r),e=Math.abs(r),n=1/(1+KJ*e);return t*(1-((((JJ*n+ZJ)*n+YJ)*n+XJ)*n+jJ)*n*Math.exp(-e*e))}),aO={kernelName:da,backendName:\"cpu\",kernelFunc:QJ};function ad(r){let{inputs:t,backend:e,attrs:n}=r,{input:o}=t,{dim:s}=n,i=o.shape.length,a=o.shape.slice(),u=s;return s<0&&(y.assert(-(i+1)<=s,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),u=i+s+1),a.splice(u,0,1),Xt({inputs:{x:o},backend:e,attrs:{shape:a}})}var lO={kernelName:ai,backendName:\"cpu\",kernelFunc:ad};var tQ=Qt((r,t)=>r/t),Mh=oe(Jo,tQ),zh={kernelName:Jo,backendName:\"cpu\",kernelFunc:Mh};function uw(r,t,e){let n=r.shape,o=n[0],s=n[1],i=e.data.get(r.dataId),a=i.complexTensorInfos.real,u=i.complexTensorInfos.imag,l=[o,s],c=y.sizeFromShape(l),p=y.getTypedArrayFromDType(\"float32\",c),m=y.getTypedArrayFromDType(\"float32\",c);for(let g=0;g{let{image:n}=r,o=e,s=y.getTypedArrayFromDType(n.dtype,y.sizeFromShape(n.shape)),[i,a,u,l]=n.shape,c=o.data.get(n.dataId).values;for(let m=0;m=0&&wMath.floor(r/t)),aQ=oe(rs,iQ,null,\"int32\"),mO={kernelName:rs,backendName:\"cpu\",kernelFunc:aQ};function lQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=n,h=uk({inputs:{x:o,filter:s},backend:e,attrs:{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m}});if(i){let g=h;if(c===\"NCHW\"&&i.shape.length===1&&i.shape[0]!==1){let x=Xt({inputs:{x:i},backend:e,attrs:{shape:[i.shape[0],1,1]}});h=Hi({inputs:{a:h,b:x},backend:e}),e.disposeIntermediateTensorInfo(x)}else h=Hi({inputs:{a:h,b:i},backend:e});e.disposeIntermediateTensorInfo(g)}if(f){let g=h;if(c===\"NCHW\"&&f===\"prelu\"&&a.shape.length===1&&a.shape[0]!==1){let x=Xt({inputs:{x:a},backend:e,attrs:{shape:[a.shape[0],1,1]}});h=Oc(e,h,f,x,d),e.disposeIntermediateTensorInfo(x)}else h=Oc(e,h,f,a,d);e.disposeIntermediateTensorInfo(g)}return h}var fO={kernelName:wi,backendName:\"cpu\",kernelFunc:lQ};function uQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=n,h=ck({inputs:{x:o,filter:s},backend:e,attrs:{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m}});if(i){let g=h;h=Hi({inputs:{a:h,b:i},backend:e}),e.disposeIntermediateTensorInfo(g)}if(f){let g=h;h=Oc(e,h,f,a,d),e.disposeIntermediateTensorInfo(g)}return h}var dO={kernelName:Ci,backendName:\"cpu\",kernelFunc:uQ};function cQ(r){let{inputs:t,backend:e}=r,{params:n,indices:o}=t,s=y.sizeFromShape(n.shape),i=o.shape,a=i[i.length-1],[u,l,c,p]=S.prepareAndValidate(n,o);if(l===0)return e.makeTensorInfo(u,n.dtype,[]);let m=e.data.get(o.dataId).values,f=e.bufferSync(n),d=jb(m,f,n.dtype,l,a,c,p,n.shape,s);return e.makeTensorInfo(u,n.dtype,d.values)}var hO={kernelName:ya,backendName:\"cpu\",kernelFunc:cQ};function pQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,indices:s}=t,{axis:i,batchDims:a}=n;tt([o,s],\"gatherV2\");let u=y.parseAxisParam(i,o.shape)[0],l=e.data.get(s.dataId).values,c=o.shape[u];for(let C=0;C=0,()=>`GatherV2: the index value ${N} is not in [0, ${c-1}]`)}let p=a;a==null&&(p=0);let m=y.sizeFromShape(s.shape),f=S.segment_util.collectGatherOpShapeInfo(o,s,u,p),d=Xt({inputs:{x:o},backend:e,attrs:{shape:[f.batchSize,f.outerSize,f.dimSize,f.sliceSize]}}),h=Xt({inputs:{x:s},backend:e,attrs:{shape:[f.batchSize,m/f.batchSize]}}),g=[f.batchSize,f.outerSize,m/f.batchSize,f.sliceSize],x=e.bufferSync(h),b=e.bufferSync(d),w=Xb(b,x,g);return e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(h),e.makeTensorInfo(f.outputShape,w.dtype,w.values)}var gO={kernelName:li,backendName:\"cpu\",kernelFunc:pQ};function mQ(r){let{inputs:t,backend:e}=r,{input:n}=t,o=y.sizeFromShape(n.shape),s=n.shape[n.shape.length-1],i=o/s,a=Xt({inputs:{x:n},backend:e,attrs:{shape:[i,s]}}),u=uw(a,!0,e),l=Xt({inputs:{x:u},backend:e,attrs:{shape:n.shape}});return e.disposeIntermediateTensorInfo(a),e.disposeIntermediateTensorInfo(u),l}var xO={kernelName:Ip,backendName:\"cpu\",kernelFunc:mQ};var fQ=kt(wa,r=>Number.isFinite(r)?1:0,\"bool\"),yO={kernelName:wa,backendName:\"cpu\",kernelFunc:fQ};var dQ=kt(Ca,r=>Math.abs(r)===1/0?1:0,\"bool\"),bO={kernelName:Ca,backendName:\"cpu\",kernelFunc:dQ};var hQ=kt(Ia,r=>Number.isNaN(r)?1:0,\"bool\"),wO={kernelName:Ia,backendName:\"cpu\",kernelFunc:hQ};function gQ(r){let{backend:t,attrs:e}=r,{start:n,stop:o,num:s}=e,i=Yb(n,o,s);return t.makeTensorInfo([i.length],\"float32\",i)}var CO={kernelName:Sp,backendName:\"cpu\",kernelFunc:gQ};var xQ=kt(Na,r=>Math.log1p(r)),IO={kernelName:Na,backendName:\"cpu\",kernelFunc:xQ};var yQ=Qt((r,t)=>r&&t),bQ=oe(ka,yQ,null,\"bool\"),vO={kernelName:ka,backendName:\"cpu\",kernelFunc:bQ};var wQ=kt(Ta,r=>r?0:1,\"bool\"),SO={kernelName:Ta,backendName:\"cpu\",kernelFunc:wQ};var CQ=Qt((r,t)=>r||t),IQ=oe(Ea,CQ,null,\"bool\"),NO={kernelName:Ea,backendName:\"cpu\",kernelFunc:IQ};function vQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{depthRadius:s,bias:i,alpha:a,beta:u}=n;tt(o,\"LRN\");let l=o.shape[3],c=l-1,p=e.data.get(o.dataId).values,m=y.sizeFromShape(o.shape),f=new Float32Array(m);function d(h){let g=h%l,x=h-g+Math.max(0,g-s),b=h-g+Math.min(g+s,c),w=0;for(;x<=b;x++){let C=p[x];w+=C*C}return w}for(let h=0;h`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);let c=S.computePool2DInfo(o.shape,s,i,l,a,u),p;if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))p=qr({inputs:{x:o},backend:e});else{let m=e.data.get(o.dataId).values,f=y.computeStrides(o.shape),d=id(m,o.shape,o.dtype,f,c,\"max\");p=e.makeTensorInfo(c.outShape,o.dtype,d.values)}return p}var _O={kernelName:us,backendName:\"cpu\",kernelFunc:NQ};function kQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{filterSize:s,strides:i,pad:a,dimRoundingMode:u,dataFormat:l}=n;tt(o,\"maxPool3d\");let c=S.computePool3DInfo(o.shape,s,i,1,a,u,l),p=e.data.get(o.dataId).values,m=lw(p,o.shape,o.dtype,y.computeStrides(o.shape),c,\"max\");return e.makeTensorInfo(m.shape,\"float32\",m.values)}var AO={kernelName:Dl,backendName:\"cpu\",kernelFunc:kQ};function TQ(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,{filterSize:i,strides:a,pad:u,dimRoundingMode:l}=n;tt([o,s],\"maxPool3DGrad\");let c=S.computePool3DInfo(s.shape,i,a,1,u,l),p=e.bufferSync(s),m=NF(p,c),f=c.strideDepth,d=c.strideHeight,h=c.strideWidth,g=c.dilationDepth,x=c.dilationHeight,b=c.dilationWidth,w=c.effectiveFilterDepth,C=c.effectiveFilterHeight,N=c.effectiveFilterWidth,_=w-1-c.padInfo.front,A=N-1-c.padInfo.left,$=C-1-c.padInfo.top,F=wt(s.shape,\"float32\"),P=e.bufferSync(o);for(let V=0;V=c.outDepth||Math.floor(ot)!==ot))for(let at=0;at=c.outHeight||Math.floor(nt)!==nt))for(let it=0;it=c.outWidth||Math.floor(dt)!==dt)continue;let ht=w*C*N-1-m.get(V,ot,nt,dt,G),bt=rt*C*N+at*N+it,Tt=ht===bt?1:0;if(Tt===0)continue;et+=P.get(V,ot,nt,dt,G)*Tt}}}F.set(et,V,W,q,H,G)}return e.makeTensorInfo(F.shape,F.dtype,F.values)}var $O={kernelName:Tp,backendName:\"cpu\",kernelFunc:TQ};function EQ(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s,output:i}=t,a=s;tt([s,i],\"maxPoolGrad\");let{filterSize:u,strides:l,pad:c,dimRoundingMode:p}=n,m=S.computePool2DInfo(a.shape,u,l,1,c,p),f=e.data.get(a.dataId).values,d=wt(m.outShape,a.dtype,aw(f,a.shape,a.dtype,m).values),h=m.strideHeight,g=m.strideWidth,x=m.dilationHeight,b=m.dilationWidth,w=m.effectiveFilterHeight,C=m.effectiveFilterWidth,N=C-1-m.padInfo.left,_=w-1-m.padInfo.top,A=wt(a.shape,\"float32\"),$=e.data.get(o.dataId).values,F=wt(o.shape,\"float32\",$);for(let P=0;P=m.outHeight||Math.floor(Z)!==Z))for(let et=0;et=m.outWidth||Math.floor(rt)!==rt)continue;let ot=w*C-1-d.get(P,Z,rt,V),at=Y*C+et,nt=ot===at?1:0;if(nt===0)continue;j+=F.get(P,Z,rt,V)*nt}}A.set(j,P,G,W,V)}return e.makeTensorInfo(A.shape,A.dtype,A.values)}var DO={kernelName:kp,backendName:\"cpu\",kernelFunc:EQ};function RO(r,t,e,n,o){let s=y.computeStrides(t),i=id(r,t,e,s,o,\"max\"),a=aw(r,t,e,o,!0,n);return[i.values,a.values]}var FO={kernelName:Ep,backendName:\"cpu\",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{x:n}=r,{filterSize:o,strides:s,pad:i,includeBatchInIndex:a}=t,u=e;tt(n,\"MaxPoolWithArgmax\");let l=u.data.get(n.dataId).values,c=S.computePool2DInfo(n.shape,o,s,[1,1],i),[p,m]=RO(l,n.shape,n.dtype,a,c),f=u.write(p,c.outShape,n.dtype),d=u.write(m,c.outShape,n.dtype);return[{dataId:f,shape:c.outShape,dtype:n.dtype},{dataId:d,shape:c.outShape,dtype:\"int32\"}]}};function _Q(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=y.parseAxisParam(s,o.shape),l=S.computeOutAndReduceShapes(o.shape,a)[1],c=y.sizeFromShape(l),p=[],m=e.makeTensorInfo([],\"float32\",new Float32Array([c]));p.push(m);let f=Ao({inputs:{x:o},backend:e,attrs:{dtype:\"float32\"}});p.push(f);let d=Mh({inputs:{a:f,b:m},backend:e});p.push(d);let h=fl({inputs:{x:d},backend:e,attrs:{axis:s,keepDims:i}});return p.forEach(g=>e.disposeIntermediateTensorInfo(g)),h}var OO={kernelName:cs,backendName:\"cpu\",kernelFunc:_Q};function AQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n;tt(o,\"min\");let a=y.parseAxisParam(s,o.shape),u=a,l=S.getAxesPermutation(u,o.shape.length),c=o;l!=null&&(c=Be({inputs:{x:o},backend:e,attrs:{perm:l}}),u=S.getInnerMostAxes(u.length,o.shape.length)),S.assertAxesAreInnerMostDims(\"min\",u,c.shape.length);let[p,m]=S.computeOutAndReduceShapes(c.shape,u),f=y.sizeFromShape(m),d=y.makeZerosTypedArray(y.sizeFromShape(p),c.dtype),h=e.data.get(c.dataId).values;for(let x=0;xw[0]+o.shape[C]+w[1]),u=s.map(w=>w[0]),l=s.map((w,C)=>w[0]+o.shape[C]),c=i===\"reflect\"?0:1,p=e.data.get(o.dataId).values,m=o.shape.length,f=y.computeStrides(o.shape),d=y.sizeFromShape(a),h=a.length,g=y.computeStrides(a),x=y.getTypedArrayFromDType(o.dtype,d);for(let w=0;w=l[_]&&(C[_]=(l[_]-1)*2-C[_]+c);C=C.map((_,A)=>_-u[A]);let N=y.locToIndex(C,m,f);x[w]=p[N]}return{dataId:e.write(x,a,o.dtype),shape:a,dtype:o.dtype}}var LO={kernelName:fs,backendName:\"cpu\",kernelFunc:$Q};var DQ=Qt((r,t)=>{let e=r%t;return r<0&&t<0||r>=0&&t>=0?e:(e+t)%t}),RQ=oe(_a,DQ),MO={kernelName:_a,backendName:\"cpu\",kernelFunc:RQ};var BO=Sl(lh());function fk(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{dim:s}=n,i=o.shape.length,a=s;if(a===-1&&(a=i-1),a!==i-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${i} and dim was ${a}`);let u=y.parseAxisParam([a],o.shape),l=mk({inputs:{x:o},backend:e,attrs:{reductionIndices:u,keepDims:!1}}),c=S.expandShapeToKeepDim(l.shape,u),p=Xt({inputs:{x:l},backend:e,attrs:{shape:c}}),m=Ph({inputs:{a:o,b:p},backend:e}),f=zN({inputs:{x:m},backend:e}),d=fl({inputs:{x:f},backend:e,attrs:{axis:u,keepDims:!1}}),h=Xt({inputs:{x:d},backend:e,attrs:{shape:c}}),g=Mh({inputs:{a:f,b:h},backend:e});return e.disposeIntermediateTensorInfo(l),e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(h),g}var zO={kernelName:$s,backendName:\"cpu\",kernelFunc:fk};function FQ(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{numSamples:s,seed:i,normalized:a}=n;tt(o,\"multinomial\");let u=a?o:fk({inputs:{logits:o},backend:e,attrs:{dim:-1}}),l=u.shape[0],c=u.shape[1],p=e.data.get(u.dataId).values,m=[l,s],f=y.makeZerosTypedArray(y.sizeFromShape(m),\"int32\");for(let d=0;d=0&&p[m]{y.assertShapesMatch(s,c.shape,\"All tensors passed to stack must have matching shapes\"),y.assert(i===c.dtype,()=>\"All tensors passed to stack must have matching dtypes\")});let a=[],u=t.map(c=>{let p=ad({inputs:{input:c},backend:e,attrs:{dim:o}});return a.push(p),p}),l=Nu({inputs:u,backend:e,attrs:{axis:o}});return a.forEach(c=>e.disposeIntermediateTensorInfo(c)),l}var XO={kernelName:pi,backendName:\"cpu\",kernelFunc:dk};function GQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{paddings:s,constantValue:i}=n;tt(o,\"pad\");let a=s.map((b,w)=>b[0]+o.shape[w]+b[1]),u=s.map(b=>b[0]),l=e.data.get(o.dataId).values,c=y.sizeFromShape(o.shape),p=o.shape.length,m=y.computeStrides(o.shape),f=y.sizeFromShape(a),d=a.length,h=y.computeStrides(a),g=y.getTypedArrayFromDType(o.dtype,f);i!==0&&g.fill(i);for(let b=0;b_+u[A]),N=y.locToIndex(C,d,h);g[N]=l[b]}return{dataId:e.write(g,a,o.dtype),shape:a,dtype:o.dtype}}var cw={kernelName:gs,backendName:\"cpu\",kernelFunc:GQ};var WQ=Qt((r,t)=>Math.pow(r,t)),UQ=oe(xs,WQ),YO={kernelName:xs,backendName:\"cpu\",kernelFunc:UQ};function HQ(r){let{inputs:t,backend:e,attrs:n}=r,{paramsNestedSplits:o,paramsDenseValues:s,indices:i}=t,{outputRaggedRank:a}=n,u=o.map(x=>e.data.get(x.dataId).values),l=o.map(x=>x.shape),c=e.data.get(s.dataId).values,p=e.data.get(i.dataId).values,[m,f,d]=Jb(u,l,c,s.shape,s.dtype,p,i.shape,a),h=m.map(x=>e.makeTensorInfo([x.length],\"int32\",x)),g=e.makeTensorInfo(d,s.dtype,f);return h.concat([g])}var ZO={kernelName:Ap,backendName:\"cpu\",kernelFunc:HQ};function qQ(r){let{inputs:t,backend:e,attrs:n}=r,{shape:o,values:s,defaultValue:i,rowPartitionTensors:a}=t,{rowPartitionTypes:u}=n,l=e.data.get(o.dataId).values,c=e.data.get(s.dataId).values,p=e.data.get(i.dataId).values,m=a.map(g=>e.data.get(g.dataId).values),f=a.map(g=>g.shape),[d,h]=Qb(l,o.shape,c,s.shape,s.dtype,p,i.shape,m,f,u);return e.makeTensorInfo(d,s.dtype,h)}var JO={kernelName:$p,backendName:\"cpu\",kernelFunc:qQ};function KQ(r){let{backend:t,attrs:e}=r,{start:n,stop:o,dtype:s,step:i}=e,a=Ac(n,o,i,s);return t.makeTensorInfo([a.length],s,a)}var QO={kernelName:Rl,backendName:\"cpu\",kernelFunc:KQ};var jQ=kt(Fa,r=>1/r),tP={kernelName:Fa,backendName:\"cpu\",kernelFunc:jQ};function XQ(r){let{inputs:t,backend:e,attrs:n}=r,{images:o}=t,{alignCorners:s,halfPixelCenters:i,size:a}=n;tt(o,\"resizeBilinear\");let u=y.computeStrides(o.shape),[l,c]=a,[p,m,f,d]=o.shape,h=e.data.get(o.dataId).values,g=new Float32Array(y.sizeFromShape([p,l,c,d])),x=[s&&l>1?m-1:m,s&&c>1?f-1:f],b=[s&&l>1?l-1:l,s&&c>1?c-1:c],w=0,C=x[0]/b[0],N=x[1]/b[1];for(let _=0;_1?l-1:l,i&&f>1?c-1:c],g=[i&&m>1?m-1:m,i&&f>1?f-1:f],x=h[0]/g[0],b=h[1]/g[1],w=e.data.get(s.dataId).values,C=0;for(let N=0;N1?m-1:m,s&&c>1?f-1:f],b=[s&&l>1?l-1:l,s&&c>1?c-1:c],w=x[0]/b[0],C=x[1]/b[1],N=0;for(let _=0;_1?c-1:c,i&&d>1?p-1:p],b=[i&&f>1?f-1:f,i&&d>1?d-1:d],w=x[0]/b[0],C=x[1]/b[1],N=1/w,_=1/C,A=Math.ceil(N)*2+2,$=Math.ceil(_)*2+2;for(let F=0;F=f)continue;let nt=P+at*u[1],it=at*w,dt=Math.min(c-1,i?Math.round(it):Math.floor(it));if(V===dt)for(let ht=0;ht<$;ht++){let bt=ht+Z;if(bt<0||bt>=d)continue;let Tt=nt+bt*u[2],_t=bt*C,Bt=Math.min(p-1,i?Math.round(_t):Math.floor(_t));H===Bt&&(rt+=g[Tt+et])}}h[j+et]=rt}}}}return e.makeTensorInfo(o.shape,o.dtype,h)}var oP={kernelName:Rp,backendName:\"cpu\",kernelFunc:JQ};function QQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dims:s}=n;tt(o,\"reverse\");let i=o.shape.length,a=y.parseAxisParam(s,o.shape);if(i===0)return qr({inputs:{x:o},backend:e});let u=new pe(o.shape,o.dtype),l=e.bufferSync(o);for(let c=0;cm[f]=o.shape[f]-1-m[f]),u.set(l.get(...m),...p)}return e.makeTensorInfo(u.shape,u.dtype,u.values)}var sP={kernelName:Ss,backendName:\"cpu\",kernelFunc:QQ};var iP={kernelName:Ua,backendName:\"cpu\",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{image:n}=r,{radians:o,fillValue:s,center:i}=t,a=e,u=y.getTypedArrayFromDType(n.dtype,y.sizeFromShape(n.shape)),[l,c,p,m]=n.shape,[f,d]=S.getImageCenter(i,c,p),h=255,g=Math.sin(o),x=Math.cos(o),b=a.data.get(n.dataId).values;for(let C=0;C=0&&q=0&&H{let t=Math.floor(r);return r-t<.5?Math.floor(r):r-t>.5?Math.ceil(r):t%2===0?t:t+1}),aP={kernelName:Ns,backendName:\"cpu\",kernelFunc:t9};function e9(r){let{inputs:t,backend:e,attrs:n}=r,{indices:o,updates:s}=t,{shape:i}=n,{sliceRank:a,numUpdates:u,sliceSize:l,strides:c,outputSize:p}=S.calculateShapes(s,o,i),m=!0,f=e.bufferSync(o),d=e.bufferSync(s),h=ml(f,d,i,p,l,u,a,c,0,m);return e.makeTensorInfo(i,h.dtype,h.values)}var lP={kernelName:Oa,backendName:\"cpu\",kernelFunc:e9};function r9(r,t){let e=0,n=r.length,o=0;for(;e1||o.shape.length===1?1:y.sizeFromShape(o.shape.slice(1));for(let d=0;dr>=0?a9*r:i9*(Math.exp(r)-1)),mP={kernelName:Pa,backendName:\"cpu\",kernelFunc:l9};var u9=kt(Ma,r=>r<0?-1:r>0?1:0),fP={kernelName:Ma,backendName:\"cpu\",kernelFunc:u9};var c9=kt(Ts,r=>Math.sin(r)),dP={kernelName:Ts,backendName:\"cpu\",kernelFunc:c9};var p9=kt(La,r=>Math.sinh(r)),hP={kernelName:La,backendName:\"cpu\",kernelFunc:p9};var m9=11920928955078125e-23,gP=Math.log(m9)+2,f9=kt(za,r=>{let t=r>-gP,e=rNumber(g)))),e.makeTensorInfo([h.length],n.dtype,new Int32Array(h))]}var bP={kernelName:Fl,backendName:\"cpu\",kernelFunc:h9};function g9(r){let{inputs:t,backend:e}=r,{inputIndices:n,inputShape:o,newShape:s}=t;if(n.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape\n ${n.shape}`);if(o.shape.length!==1)throw new Error(`Input shape should be a vector but received shape\n ${o.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=Array.from(e.data.get(o.dataId).values),a=e.data.get(n.dataId).values,u=Array.from(e.data.get(s.dataId).values),[l,c,p]=ew(a,n.shape,n.dtype,i,u);return[e.makeTensorInfo(c,n.dtype,l),e.makeTensorInfo([p.length],s.dtype,new Int32Array(p))]}var wP={kernelName:Ba,backendName:\"cpu\",kernelFunc:g9};function x9(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape\n ${o.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape\n ${s.shape}`);if(o.shape[0]!==s.shape[0])throw new Error(\"segmentIds and indices should have same size.\");let i=e.data.get(n.dataId).values,a=e.data.get(o.dataId).values,u=e.data.get(s.dataId).values,[l,c]=sd(i,n.shape,n.dtype,a,u,!0);return e.makeTensorInfo(c,n.dtype,l)}var CP={kernelName:Ol,backendName:\"cpu\",kernelFunc:x9};function y9(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape\n ${o.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape\n ${s.shape}`);if(o.shape[0]!==s.shape[0])throw new Error(\"segmentIds and indices should have same size.\");let i=e.data.get(n.dataId).values,a=e.data.get(o.dataId).values,u=e.data.get(s.dataId).values,[l,c]=sd(i,n.shape,n.dtype,a,u);return e.makeTensorInfo(c,n.dtype,l)}var IP={kernelName:Pl,backendName:\"cpu\",kernelFunc:y9};function b9(r){let{inputs:t,backend:e,attrs:n}=r,{sparseIndices:o,sparseValues:s,defaultValue:i}=t,{outputShape:a}=n,{sliceRank:u,numUpdates:l,sliceSize:c,strides:p,outputSize:m}=S.calculateShapes(s,o,a),f=!1,d=e.bufferSync(o),h;switch(s.dtype){case\"bool\":{let g=e.bufferSync(s),x=Boolean(e.data.get(i.dataId).values[0]);h=ml(d,g,a,m,c,l,u,p,x,f);break}case\"float32\":{let g=e.bufferSync(s),x=e.data.get(i.dataId).values[0];h=ml(d,g,a,m,c,l,u,p,x,f);break}case\"int32\":{let g=e.bufferSync(s),x=e.data.get(i.dataId).values[0];h=ml(d,g,a,m,c,l,u,p,x,f);break}case\"string\":{let g=e.bufferSync(s),x=y.decodeString(e.data.get(i.dataId).values[0]);h=ml(d,g,a,m,c,l,u,p,x,f);break}default:throw new Error(`Unsupported type ${s.dtype}`)}return e.makeTensorInfo(a,h.dtype,h.values)}var vP={kernelName:Pp,backendName:\"cpu\",kernelFunc:b9};function w9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{numOrSizeSplits:s,axis:i}=n,a=y.parseAxisParam(i,o.shape)[0],u=S.prepareSplitSize(o,s,a),l=new Array(o.shape.length).fill(0),c=o.shape.slice();return u.map(p=>{let m=[...c];m[a]=p;let f=Ro({inputs:{x:o},backend:e,attrs:{begin:l,size:m}});return l[a]+=p,f})}var SP={kernelName:gi,backendName:\"cpu\",kernelFunc:w9};var NP={kernelName:Ll,backendName:\"cpu\",kernelFunc:({inputs:r,backend:t})=>{let{x:e}=r,n=t;tt(e,\"square\");let o=n.data.get(e.dataId).values,s=new Float32Array(o.length);for(let a=0;a{let e=t;return isNaN(r)?NaN:r>0?1:e.alpha}),kP={kernelName:uo,backendName:\"cpu\",kernelFunc:C9};function I9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,end:i,strides:a,beginMask:u,endMask:l,ellipsisMask:c,newAxisMask:p,shrinkAxisMask:m}=n;tt(o,\"stridedSlice\");let{finalShapeSparse:f,finalShape:d,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:w,strides:C}=Pe.sliceInfo(o.shape,s,i,a,u,l,c,p,m),N;if(h)N=Xt({inputs:{x:o},backend:e,attrs:{shape:d}});else if(g||x){y.assert(o.shape.length>=1,()=>`Input must have rank at least 1, got: ${o.shape.length}`);let _=Pe.computeOutShape(b,w,C),A=Ro({inputs:{x:o},backend:e,attrs:{begin:b,size:_}});N=Xt({inputs:{x:A},backend:e,attrs:{shape:d}}),e.disposeIntermediateTensorInfo(A)}else{let _=e.bufferSync(o),A=rw(f,_,C,b);N=e.makeTensorInfo(d,A.dtype,A.values)}return N}var TP={kernelName:Va,backendName:\"cpu\",kernelFunc:I9};function v9(r){let{inputs:t,backend:e,attrs:n}=r,{separator:o,nGramWidths:s,leftPad:i,rightPad:a,padWidth:u,preserveShortSequences:l}=n,{data:c,dataSplits:p}=t,m=e.data.get(c.dataId).values,f=e.data.get(p.dataId).values,[d,h]=Dc(m,f,o,s,i,a,u,l);return[e.makeTensorInfo([d.length],\"string\",d),e.makeTensorInfo(p.shape,\"int32\",h)]}var EP={kernelName:Ml,backendName:\"cpu\",kernelFunc:v9};function S9(r){let{inputs:t,backend:e,attrs:n}=r,{skipEmpty:o}=n,{input:s,delimiter:i}=t;if(s.dtype!==\"string\")throw new Error(\"Input must be of datatype string\");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(i.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${i.shape}`);let a=e.data.get(s.dataId).values,u=e.data.get(i.dataId).values[0],[l,c,p]=Rc(a,u,o),m=c.length;return[e.makeTensorInfo([m,2],\"int32\",l),e.makeTensorInfo([m],\"string\",c),e.makeTensorInfo([2],\"int32\",new Int32Array(p))]}var _P={kernelName:zl,backendName:\"cpu\",kernelFunc:S9};function N9(r){let{inputs:t,backend:e,attrs:n}=r,{numBuckets:o}=n,{input:s}=t;if(s.dtype!==\"string\")throw new Error(\"Input must be of datatype string\");if(o<=0)throw new Error(\"Number of buckets must be at least 1\");let i=e.data.get(s.dataId).values,a=Fc(i,o);return e.makeTensorInfo(s.shape,\"int32\",a)}var AP={kernelName:Bl,backendName:\"cpu\",kernelFunc:N9};var k9=kt(Fs,r=>Math.tan(r)),$P={kernelName:Fs,backendName:\"cpu\",kernelFunc:k9};var T9=kt(Os,r=>Math.tanh(r)),DP={kernelName:Os,backendName:\"cpu\",kernelFunc:T9};function E9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{reps:s}=n;tt(o,\"tile\");let i=nw(e.bufferSync(o),s);return e.makeTensorInfo(i.shape,i.dtype,i.values)}var RP={kernelName:Zn,backendName:\"cpu\",kernelFunc:E9};function _9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{k:s,sorted:i}=n;tt(o,\"topk\");let a=e.data.get(o.dataId).values,[u,l]=ow(a,o.shape,o.dtype,s,i);return[e.makeTensorInfo(u.shape,u.dtype,u.values),e.makeTensorInfo(l.shape,l.dtype,l.values)]}var FP={kernelName:Ga,backendName:\"cpu\",kernelFunc:_9};function A9(r){let{inputs:t,attrs:e,backend:n}=r,{image:o,transforms:s}=t,{interpolation:i,fillMode:a,fillValue:u,outputShape:l}=e,[c,p,m,f]=o.shape,[d,h]=l!=null?l:[p,m],g=[c,d,h,f],x=y.computeStrides(o.shape),b=x[0],w=x[1],C=x[2],N=y.computeStrides(g),_=N[0],A=N[1],$=N[2],F=y.getTypedArrayFromDType(o.dtype,y.sizeFromShape(g));F.fill(u);let P=n.data.get(o.dataId).values,V=n.data.get(s.dataId).values;for(let W=0;Wt-1)if(t<=1)e=0;else{let n=2*t;e-=n*Math.trunc(e/n),e>=t&&(e=n-e-1)}return y.clamp(0,e,t-1)}function D9(r,t){let e=r;if(e<0)if(t<=1)e=0;else{let n=t-1;e+=t*(Math.trunc(-e/n)+1)}else if(e>t-1)if(t<=1)e=0;else{let n=t-1;e-=t*Math.trunc(e/n)}return y.clamp(0,e,t-1)}function R9(r,t){return r}function F9(r,t){return y.clamp(0,r,t-1)}function Gh(r,t,e,n,o,s,i,a,u,l,c){let p=i*n+a*o+u*s+l;return 0<=a&&ae.disposeIntermediateTensorInfo(d)),f}var zP={kernelName:Vl,backendName:\"cpu\",kernelFunc:z9};var B9=[mF,SR,fF,dF,_R,hF,gF,xF,yF,bF,wF,CF,IF,vF,SF,kF,TF,EF,_F,pF,AF,$F,DF,RF,ER,AR,FF,NR,OF,LF,MF,zF,BF,VF,GF,WF,UF,HF,qF,KF,jF,XF,YF,ZF,JF,QF,tO,eO,rO,nO,sO,sF,iO,$R,aO,DR,lO,RR,uO,cO,pO,FR,mO,fO,dO,hO,gO,OR,PR,kR,xO,PF,yO,bO,wO,iF,LR,MR,CO,zR,IO,vO,SO,NO,kO,TO,EO,BR,_O,AO,$O,DO,FO,OO,PO,VR,LO,MO,VO,GR,WR,GO,WO,UO,UR,HO,jO,XO,cw,YO,aF,qR,ZO,JO,QO,TR,zh,tP,lF,uF,cF,eP,rP,nP,oP,sP,iP,aP,YR,lP,cP,pP,mP,JR,fP,dP,hP,QR,zO,xP,yP,bP,wP,CP,IP,vP,SP,eF,NP,rF,kP,TP,EP,_P,AP,nF,oO,$P,DP,RP,FP,PP,HR,LP,MP,zP,qO];for(let r of B9)Pu(r);var cd={};Gt(cd,{assertNotComplex:()=>Zs,bindCanvasToFramebuffer:()=>X9,bindColorTextureToFramebuffer:()=>qh,bindTextureToProgramUniformSampler:()=>Ak,bindTextureUnit:()=>WP,bindVertexBufferToProgramAttribute:()=>gw,callAndCheck:()=>yt,canBeRepresented:()=>yk,createFragmentShader:()=>wk,createFramebuffer:()=>Tk,createProgram:()=>Ck,createStaticIndexBuffer:()=>Sk,createStaticVertexBuffer:()=>vk,createTexture:()=>Nk,createVertexShader:()=>bk,getBatchDim:()=>hl,getExtensionOrThrow:()=>ld,getFramebufferErrorMessage:()=>UP,getMaxTexturesInShader:()=>Rk,getNumChannels:()=>K9,getProgramUniformLocation:()=>_k,getProgramUniformLocationOrThrow:()=>Ek,getRowsCols:()=>gl,getShapeAs3D:()=>Kh,getTextureShapeFromLogicalShape:()=>$k,getWebGLDisjointQueryTimerVersion:()=>Fk,getWebGLErrorMessage:()=>GP,getWebGLMaxTextureSize:()=>Dk,hasExtension:()=>Vn,isCapableOfRenderingToFloatTexture:()=>Ok,isDownloadFloatTextureEnabled:()=>Pk,isReshapeFree:()=>Tu,isWebGLFenceEnabled:()=>Lk,isWebGLVersionEnabled:()=>yw,linkProgram:()=>Ik,logShaderSourceAndInfoLog:()=>hw,resetMaxTextureSize:()=>Y9,resetMaxTexturesInShader:()=>Z9,unbindColorTextureFromFramebuffer:()=>xw,unbindTextureUnit:()=>j9,validateFramebuffer:()=>ud,validateProgram:()=>Hh,validateTextureSize:()=>kk});var Pc={},pw={alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0};function hk(r,t){Pc[r]=t}function Bn(r,t){if(!(r in Pc)||t!=null){let n=G9(r,t);if(n!==null)Pc[r]=n;else return console.log(\"Could not get context for WebGL version\",r),null}let e=Pc[r];return e==null||e.isContextLost()?(delete Pc[r],Bn(r)):(e.disable(e.DEPTH_TEST),e.disable(e.STENCIL_TEST),e.disable(e.BLEND),e.disable(e.DITHER),e.disable(e.POLYGON_OFFSET_FILL),e.disable(e.SAMPLE_COVERAGE),e.enable(e.SCISSOR_TEST),e.enable(e.CULL_FACE),e.cullFace(e.BACK),Pc[r])}function V9(r){if(typeof OffscreenCanvas!=\"undefined\"&&r===2)return new OffscreenCanvas(300,150);if(typeof document!=\"undefined\")return document.createElement(\"canvas\");throw new Error(\"Cannot create a canvas in this context\")}function G9(r,t){if(r!==1&&r!==2)throw new Error(\"Cannot get WebGL rendering context, WebGL is disabled.\");let e=t==null?V9(r):t;return e.addEventListener(\"webglcontextlost\",n=>{n.preventDefault(),delete Pc[r]},!1),M().getBool(\"SOFTWARE_WEBGL_ENABLED\")&&(pw.failIfMajorPerformanceCaveat=!1),r===1?e.getContext(\"webgl\",pw)||e.getContext(\"experimental-webgl\",pw):e.getContext(\"webgl2\",pw)}var ku;(function(r){r[r.DENSE=0]=\"DENSE\",r[r.SHARED_BATCH=1]=\"SHARED_BATCH\"})(ku||(ku={}));var Kr;(function(r){r[r.RENDER=0]=\"RENDER\",r[r.UPLOAD=1]=\"UPLOAD\",r[r.PIXELS=2]=\"PIXELS\",r[r.DOWNLOAD=3]=\"DOWNLOAD\"})(Kr||(Kr={}));var Fr;(function(r){r[r.UNPACKED_FLOAT16=0]=\"UNPACKED_FLOAT16\",r[r.UNPACKED_FLOAT32=1]=\"UNPACKED_FLOAT32\",r[r.PACKED_4X1_UNSIGNED_BYTE=2]=\"PACKED_4X1_UNSIGNED_BYTE\",r[r.PACKED_2X2_FLOAT32=3]=\"PACKED_2X2_FLOAT32\",r[r.PACKED_2X2_FLOAT16=4]=\"PACKED_2X2_FLOAT16\"})(Fr||(Fr={}));function Lc(r,t){return[t,r]}function BP(r,t){return r*t}function Wh(r){let t=y.sizeFromShape(r),e=Math.ceil(t/4);return y.sizeToSquarishShape(e)}function Ki(r,t){return[Math.max(1,Math.ceil(t/2)),Math.max(1,Math.ceil(r/2))]}function VP(r,t){let[e,n]=Ki(r,t);return e*n*4}function Uh(r,t){let e=r,n,o,s,i,a,u,l,c,p,m;return M().getNumber(\"WEBGL_VERSION\")===2?(n=e.R32F,o=e.R16F,s=e.RGBA16F,i=e.RGBA32F,a=e.RED,l=4,c=1,p=e.HALF_FLOAT,m=e.FLOAT,u=e.RGBA8):(n=r.RGBA,o=r.RGBA,s=r.RGBA,i=e.RGBA,a=r.RGBA,l=4,c=4,p=t!=null?t.HALF_FLOAT_OES:null,m=r.FLOAT,u=r.RGBA),{internalFormatFloat:n,internalFormatHalfFloat:o,internalFormatPackedHalfFloat:s,internalFormatPackedFloat:i,textureFormatFloat:a,downloadTextureFormat:u,downloadUnpackNumChannels:l,defaultNumChannels:c,textureTypeHalfFloat:p,textureTypeFloat:m}}function yt(r,t){let e=t();return M().getBool(\"DEBUG\")&&W9(r),e}function W9(r){let t=r.getError();if(t!==r.NO_ERROR)throw new Error(\"WebGL Error: \"+GP(r,t))}var U9=596e-10,H9=65504;function yk(r){return!!(M().getBool(\"WEBGL_RENDER_FLOAT32_ENABLED\")||r===0||U9r.getExtension(t),'Extension \"'+t+'\" not supported on this browser.')}function bk(r,t){let e=dl(r,()=>r.createShader(r.VERTEX_SHADER),\"Unable to create vertex WebGLShader.\");if(yt(r,()=>r.shaderSource(e,t)),yt(r,()=>r.compileShader(e)),r.getShaderParameter(e,r.COMPILE_STATUS)===!1)throw console.log(r.getShaderInfoLog(e)),new Error(\"Failed to compile vertex shader.\");return e}function wk(r,t){let e=dl(r,()=>r.createShader(r.FRAGMENT_SHADER),\"Unable to create fragment WebGLShader.\");if(yt(r,()=>r.shaderSource(e,t)),yt(r,()=>r.compileShader(e)),M().get(\"ENGINE_COMPILE_ONLY\"))return e;if(r.getShaderParameter(e,r.COMPILE_STATUS)===!1)throw hw(t,r.getShaderInfoLog(e)),new Error(\"Failed to compile fragment shader.\");return e}var q9=/ERROR: [0-9]+:([0-9]+):/g;function hw(r,t){let e=q9.exec(t);if(e==null){console.log(`Couldn't parse line number in error: ${t}`),console.log(r);return}let n=+e[1],o=r.split(`\n`),s=o.length.toString().length+2,i=o.map((p,m)=>y.rightPad((m+1).toString(),s)+p),a=0;for(let p=0;pr.createProgram(),\"Unable to create WebGLProgram.\")}function Ik(r,t){if(yt(r,()=>r.linkProgram(t)),!M().get(\"ENGINE_COMPILE_ONLY\")&&r.getProgramParameter(t,r.LINK_STATUS)===!1)throw console.log(r.getProgramInfoLog(t)),new Error(\"Failed to link vertex and fragment shaders.\")}function Hh(r,t){if(yt(r,()=>r.validateProgram(t)),r.getProgramParameter(t,r.VALIDATE_STATUS)===!1)throw console.log(r.getProgramInfoLog(t)),new Error(\"Shader program validation failed.\")}function vk(r,t){let e=dl(r,()=>r.createBuffer(),\"Unable to create WebGLBuffer\");return yt(r,()=>r.bindBuffer(r.ARRAY_BUFFER,e)),yt(r,()=>r.bufferData(r.ARRAY_BUFFER,t,r.STATIC_DRAW)),e}function Sk(r,t){let e=dl(r,()=>r.createBuffer(),\"Unable to create WebGLBuffer\");return yt(r,()=>r.bindBuffer(r.ELEMENT_ARRAY_BUFFER,e)),yt(r,()=>r.bufferData(r.ELEMENT_ARRAY_BUFFER,t,r.STATIC_DRAW)),e}function K9(){return M().getNumber(\"WEBGL_VERSION\")===2?1:4}function Nk(r){return dl(r,()=>r.createTexture(),\"Unable to create WebGLTexture.\")}function kk(r,t){let e=M().getNumber(\"WEBGL_MAX_TEXTURE_SIZE\");if(r<=0||t<=0){let n=`[${r}x${t}]`;throw new Error(\"Requested texture size \"+n+\" is invalid.\")}if(r>e||t>e){let n=`[${r}x${t}]`,o=`[${e}x${e}]`;throw new Error(\"Requested texture size \"+n+\" greater than WebGL maximum on this browser / GPU \"+o+\".\")}}function Tk(r){return dl(r,()=>r.createFramebuffer(),\"Unable to create WebGLFramebuffer.\")}function gw(r,t,e,n,o,s,i){let a=r.getAttribLocation(t,e);return a===-1?!1:(yt(r,()=>r.bindBuffer(r.ARRAY_BUFFER,n)),yt(r,()=>r.vertexAttribPointer(a,o,r.FLOAT,!1,s,i)),yt(r,()=>r.enableVertexAttribArray(a)),!0)}function WP(r,t,e){HP(r,e),yt(r,()=>r.activeTexture(r.TEXTURE0+e)),yt(r,()=>r.bindTexture(r.TEXTURE_2D,t))}function j9(r,t){HP(r,t),yt(r,()=>r.activeTexture(r.TEXTURE0+t)),yt(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function Ek(r,t,e){return dl(r,()=>r.getUniformLocation(t,e),'uniform \"'+e+'\" not present in program.')}function _k(r,t,e){return r.getUniformLocation(t,e)}function Ak(r,t,e,n){yt(r,()=>WP(r,t,n)),yt(r,()=>r.uniform1i(e,n))}function X9(r){yt(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,null)),yt(r,()=>r.viewport(0,0,r.canvas.width,r.canvas.height)),yt(r,()=>r.scissor(0,0,r.canvas.width,r.canvas.height))}function qh(r,t,e){yt(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,e)),yt(r,()=>r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,t,0))}function xw(r,t){yt(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,t)),yt(r,()=>r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,null,0))}function ud(r){let t=r.checkFramebufferStatus(r.FRAMEBUFFER);if(t!==r.FRAMEBUFFER_COMPLETE)throw new Error(\"Error binding framebuffer: \"+UP(r,t))}function UP(r,t){switch(t){case r.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\";case r.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\";case r.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\";case r.FRAMEBUFFER_UNSUPPORTED:return\"FRAMEBUFFER_UNSUPPORTED\";default:return`unknown error ${t}`}}function dl(r,t,e){let n=yt(r,()=>t());if(n==null)throw new Error(e);return n}function HP(r,t){let e=r.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,n=t+r.TEXTURE0;if(ne){let o=`[gl.TEXTURE0, gl.TEXTURE${e}]`;throw new Error(`textureUnit must be in ${o}.`)}}function hl(r,t=2){return y.sizeFromShape(r.slice(0,r.length-t))}function gl(r){if(r.length===0)throw Error(\"Cannot get rows and columns of an empty shape array.\");return[r.length>1?r[r.length-2]:1,r[r.length-1]]}function Kh(r){let t=[1,1,1];return r.length===0||r.length===1&&r[0]===1||(t=[hl(r),...gl(r)]),t}function $k(r,t=!1){let e=M().getNumber(\"WEBGL_MAX_TEXTURE_SIZE\"),n=M().getNumber(\"WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE\");n===1/0&&M().getBool(\"WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE\")&&(n=e/2),t&&(e=e*2,n=n*2,r=r.map((a,u)=>u>=r.length-2?y.nearestLargerEven(r[u]):r[u]),r.length===1&&(r=[2,r[0]])),r.length!==2&&(r=y.squeezeShape(r).newShape);let o=y.sizeFromShape(r),s=null;r.length<=1&&o<=e?s=[1,o]:r.length===2&&r[0]<=e&&r[1]<=e?s=r:r.length===3&&r[0]*r[1]<=e&&r[2]<=e?s=[r[0]*r[1],r[2]]:r.length===3&&r[0]<=e&&r[1]*r[2]<=e?s=[r[0],r[1]*r[2]]:r.length===4&&r[0]*r[1]*r[2]<=e&&r[3]<=e?s=[r[0]*r[1]*r[2],r[3]]:r.length===4&&r[0]<=e&&r[1]*r[2]*r[3]<=e&&(s=[r[0],r[1]*r[2]*r[3]]);let i=s!=null&&Math.max(...s)>n&&Math.min(...s)<=(t?2:1)&&Math.min(...s)>0;if(s==null||i)if(t){let a=hl(r),u=2,l=2;r.length&&([u,l]=gl(r)),o=a*(u/2)*(l/2),s=y.sizeToSquarishShape(o).map(c=>c*2)}else s=y.sizeToSquarishShape(o);return s}function mw(r){return r%2===0}function Tu(r,t){if(r=r.slice(-2),t=t.slice(-2),y.arraysEqual(r,t)||!r.length||!t.length||r[0]===0||r[1]===0||t[0]===0||t[1]===0)return!0;if(r.length!==t.length){let e=r.slice(-1)[0],n=t.slice(-1)[0];if(e===n||mw(e)&&mw(n)&&(r[0]===1||t[0]===1))return!0}return r[1]===t[1]&&mw(r[0])&&mw(t[0])}var fw,dw;function Dk(r){if(fw==null){let t=Bn(r);fw=t.getParameter(t.MAX_TEXTURE_SIZE)}return fw}function Y9(){fw=null}function Z9(){dw=null}function Rk(r){if(dw==null){let t=Bn(r);dw=t.getParameter(t.MAX_TEXTURE_IMAGE_UNITS)}return Math.min(16,dw)}function Fk(r){if(r===0)return 0;let t,e=Bn(r);return Vn(e,\"EXT_disjoint_timer_query_webgl2\")&&r===2?t=2:Vn(e,\"EXT_disjoint_timer_query\")?t=1:t=0,t}function Vn(r,t){return r.getExtension(t)!=null}function yw(r){try{if(Bn(r)!=null)return!0}catch(t){return console.log(\"Error when getting WebGL context: \",t),!1}return!1}function Ok(r){if(r===0)return!1;let t=Bn(r);if(r===1){if(!Vn(t,\"OES_texture_float\"))return!1}else if(!Vn(t,\"EXT_color_buffer_float\"))return!1;return xk(t)}function Pk(r){if(r===0)return!1;let t=Bn(r);if(r===1){if(!Vn(t,\"OES_texture_float\")||!Vn(t,\"WEBGL_color_buffer_float\"))return!1}else{if(Vn(t,\"EXT_color_buffer_float\"))return xk(t);let n=\"EXT_color_buffer_half_float\";if(Vn(t,n)){let o=t.getExtension(n);return J9(t,o)}return!1}return xk(t)}function xk(r){let t=Uh(r),e=r.createTexture();r.bindTexture(r.TEXTURE_2D,e);let n=1,o=1;r.texImage2D(r.TEXTURE_2D,0,t.internalFormatFloat,n,o,0,t.textureFormatFloat,t.textureTypeFloat,null);let s=r.createFramebuffer();r.bindFramebuffer(r.FRAMEBUFFER,s),r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,e,0);let i=r.checkFramebufferStatus(r.FRAMEBUFFER)===r.FRAMEBUFFER_COMPLETE;return r.bindTexture(r.TEXTURE_2D,null),r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteTexture(e),r.deleteFramebuffer(s),i}function J9(r,t){let e=Uh(r,t),n=r.createTexture();r.bindTexture(r.TEXTURE_2D,n);let o=1,s=1;r.texImage2D(r.TEXTURE_2D,0,e.internalFormatHalfFloat,o,s,0,e.textureFormatFloat,e.textureTypeHalfFloat,null);let i=r.createFramebuffer();r.bindFramebuffer(r.FRAMEBUFFER,i),r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,n,0);let a=r.checkFramebufferStatus(r.FRAMEBUFFER)===r.FRAMEBUFFER_COMPLETE;return r.bindTexture(r.TEXTURE_2D,null),r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteTexture(n),r.deleteFramebuffer(i),a}function Lk(r){return r!==2?!1:Bn(r).fenceSync!=null}function Zs(r,t){Array.isArray(r)||(r=[r]),r.forEach(e=>{e!=null&&y.assert(e.dtype!==\"complex64\",()=>`${t} does not support complex64 tensors in the WebGL backend.`)})}var Nt=M();Nt.registerFlag(\"HAS_WEBGL\",()=>Nt.getNumber(\"WEBGL_VERSION\")>0);Nt.registerFlag(\"WEBGL_VERSION\",()=>yw(2)?2:yw(1)?1:0);Nt.registerFlag(\"WEBGL_CHECK_NUMERICAL_PROBLEMS\",()=>!1);Nt.registerFlag(\"WEBGL_BUFFER_SUPPORTED\",()=>Nt.get(\"WEBGL_VERSION\")===2);Nt.registerFlag(\"WEBGL_CPU_FORWARD\",()=>!0);Nt.registerFlag(\"WEBGL_FORCE_F16_TEXTURES\",()=>!1);Nt.registerFlag(\"WEBGL_PACK\",()=>Nt.getBool(\"HAS_WEBGL\"));Nt.registerFlag(\"WEBGL_PACK_NORMALIZATION\",()=>Nt.getBool(\"WEBGL_PACK\"));Nt.registerFlag(\"WEBGL_PACK_CLIP\",()=>Nt.getBool(\"WEBGL_PACK\"));Nt.registerFlag(\"WEBGL_PACK_DEPTHWISECONV\",()=>Nt.getBool(\"WEBGL_PACK\"));Nt.registerFlag(\"WEBGL_PACK_BINARY_OPERATIONS\",()=>Nt.getBool(\"WEBGL_PACK\"));Nt.registerFlag(\"WEBGL_PACK_UNARY_OPERATIONS\",()=>Nt.getBool(\"WEBGL_PACK\"));Nt.registerFlag(\"WEBGL_PACK_ARRAY_OPERATIONS\",()=>Nt.getBool(\"WEBGL_PACK\"));Nt.registerFlag(\"WEBGL_PACK_IMAGE_OPERATIONS\",()=>Nt.getBool(\"WEBGL_PACK\"));Nt.registerFlag(\"WEBGL_PACK_REDUCE\",()=>Nt.getBool(\"WEBGL_PACK\"));Nt.registerFlag(\"WEBGL_LAZILY_UNPACK\",()=>Nt.getBool(\"WEBGL_PACK\"));Nt.registerFlag(\"WEBGL_CONV_IM2COL\",()=>Nt.getBool(\"WEBGL_PACK\"));Nt.registerFlag(\"WEBGL_MAX_TEXTURE_SIZE\",()=>Dk(Nt.getNumber(\"WEBGL_VERSION\")));Nt.registerFlag(\"WEBGL_MAX_TEXTURES_IN_SHADER\",()=>Rk(Nt.getNumber(\"WEBGL_VERSION\")));Nt.registerFlag(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\",()=>{let r=Nt.getNumber(\"WEBGL_VERSION\");return r===0?0:Fk(r)});Nt.registerFlag(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\",()=>Nt.getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0&&!Hl.isMobile());Nt.registerFlag(\"WEBGL_RENDER_FLOAT32_CAPABLE\",()=>Ok(Nt.getNumber(\"WEBGL_VERSION\")));Nt.registerFlag(\"WEBGL_RENDER_FLOAT32_ENABLED\",()=>Nt.getBool(\"WEBGL_FORCE_F16_TEXTURES\")?!1:Nt.getBool(\"WEBGL_RENDER_FLOAT32_CAPABLE\"));Nt.registerFlag(\"WEBGL_DOWNLOAD_FLOAT_ENABLED\",()=>Pk(Nt.getNumber(\"WEBGL_VERSION\")));Nt.registerFlag(\"WEBGL_FENCE_API_ENABLED\",()=>Lk(Nt.getNumber(\"WEBGL_VERSION\")));Nt.registerFlag(\"WEBGL_SIZE_UPLOAD_UNIFORM\",()=>Nt.getBool(\"WEBGL_RENDER_FLOAT32_ENABLED\")?4:0);Nt.registerFlag(\"WEBGL_DELETE_TEXTURE_THRESHOLD\",()=>-1,r=>{if(r<0&&r!==-1)throw new Error(`WEBGL_DELETE_TEXTURE_THRESHOLD must be -1 (indicating never delete) or at least 0, but got ${r}.`)});Nt.registerFlag(\"WEBGL_FLUSH_THRESHOLD\",()=>Hl.isMobile()?1:-1,r=>{if(r<0&&r!==-1)throw new Error(`WEBGL_FLUSH_THRESHOLD must be -1 (indicating never manual flush) or at least 0, but got ${r}.`)});Nt.registerFlag(\"CPU_HANDOFF_SIZE_THRESHOLD\",()=>128);Nt.registerFlag(\"WEBGL_USE_SHAPES_UNIFORMS\",()=>!1);Nt.registerFlag(\"TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD\",()=>1e5);Nt.registerFlag(\"TOPK_K_CPU_HANDOFF_THRESHOLD\",()=>128);Nt.registerFlag(\"WEBGL_EXP_CONV\",()=>!1);Nt.registerFlag(\"SOFTWARE_WEBGL_ENABLED\",()=>Nt.getBool(\"IS_TEST\"));Nt.registerFlag(\"WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE\",()=>1/0);Nt.registerFlag(\"WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE\",()=>!1);Nt.registerFlag(\"WEBGL2_ISNAN_CUSTOM\",()=>!1);function Ve(){let r,t,e,n,o,s,i,a,u,l;return M().getNumber(\"WEBGL_VERSION\")===2?(r=\"#version 300 es\",t=\"in\",e=\"out\",n=\"in\",o=\"texture\",s=\"outputColor\",i=\"out vec4 outputColor;\",a=M().getBool(\"WEBGL2_ISNAN_CUSTOM\")?`\n bool isnan_custom(float val) {\n uint floatToUint = floatBitsToUint(val);\n return (floatToUint & 0x7fffffffu) > 0x7f800000u;\n }\n\n bvec4 isnan_custom(vec4 val) {\n return bvec4(isnan_custom(val.x),\n isnan_custom(val.y), isnan_custom(val.z), isnan_custom(val.w));\n }\n\n #define isnan(value) isnan_custom(value)\n `:\"\",u=\"\",l=`\n #define round(value) newRound(value)\n int newRound(float value) {\n return int(floor(value + 0.5));\n }\n\n ivec4 newRound(vec4 value) {\n return ivec4(floor(value + vec4(0.5)));\n }\n `):(r=\"\",t=\"attribute\",e=\"varying\",n=\"varying\",o=\"texture2D\",s=\"gl_FragColor\",i=\"\",a=`\n #define isnan(value) isnan_custom(value)\n bool isnan_custom(float val) {\n return (val > 0. || val < 1. || val == 0.) ? false : true;\n }\n bvec4 isnan_custom(vec4 val) {\n return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));\n }\n `,u=`\n uniform float INFINITY;\n\n bool isinf(float val) {\n return abs(val) == INFINITY;\n }\n bvec4 isinf(vec4 val) {\n return equal(abs(val), vec4(INFINITY));\n }\n `,l=`\n int round(float value) {\n return int(floor(value + 0.5));\n }\n\n ivec4 round(vec4 value) {\n return ivec4(floor(value + vec4(0.5)));\n }\n `),{version:r,attribute:t,varyingVs:e,varyingFs:n,texture2D:o,output:s,defineOutput:i,defineSpecialNaN:a,defineSpecialInf:u,defineRound:l}}function Js(r,t,e=\"index\"){let n=y.computeStrides(t);return n.map((o,s)=>{let i=`int ${r[s]} = ${e} / ${o}`,a=s===n.length-1?`int ${r[s+1]} = ${e} - ${r[s]} * ${o}`:`index -= ${r[s]} * ${o}`;return`${i}; ${a};`}).join(\"\")}function Mc(r,t,e=\"index\"){let n=y.computeStrides(t);return n.map((o,s)=>{let i=`int ${r[s]} = ${e} / outShapeStrides[${s}]`,a=s===n.length-1?`int ${r[s+1]} = ${e} - ${r[s]} * outShapeStrides[${s}]`:`index -= ${r[s]} * outShapeStrides[${s}]`;return`${i}; ${a};`}).join(\"\")}function Q9(r,t){let e=r.length,n=r.map(s=>`${t}[${s}]`),o=new Array(e-1);o[e-2]=n[e-1];for(let s=e-3;s>=0;--s)o[s]=`(${o[s+1]} * ${n[s+1]})`;return o}function qP(r,t,e=\"index\"){let n=r.map((s,i)=>i),o=Q9(n,t);return o.map((s,i)=>{let a=`int ${r[i]} = ${e} / ${o[i]}`,u=i===o.length-1?`int ${r[i+1]} = ${e} - ${r[i]} * ${o[i]}`:`index -= ${r[i]} * ${o[i]}`;return`${a}; ${u};`}).join(\"\")}function pd(r){let t=y.computeStrides(r).map(e=>e.toString());return`\n int getFlatIndex(ivec3 coords) {\n return coords.x * ${t[0]} + coords.y * ${t[1]} + coords.z;\n }\n`}function md(){return`\n int getFlatIndex(ivec3 coords) {\n return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z;\n }\n`}var bw=`\n const float FLOAT_MAX = 1.70141184e38;\n const float FLOAT_MIN = 1.17549435e-38;\n\n lowp vec4 encode_float(highp float v) {\n if (isnan(v)) {\n return vec4(255, 255, 255, 255);\n }\n\n highp float av = abs(v);\n\n if(av < FLOAT_MIN) {\n return vec4(0.0, 0.0, 0.0, 0.0);\n } else if(v > FLOAT_MAX) {\n return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n } else if(v < -FLOAT_MAX) {\n return vec4(0.0, 0.0, 128.0, 255.0) / 255.0;\n }\n\n highp vec4 c = vec4(0,0,0,0);\n\n highp float e = floor(log2(av));\n highp float m = exp2(fract(log2(av))) - 1.0;\n\n c[2] = floor(128.0 * m);\n m -= c[2] / 128.0;\n c[1] = floor(32768.0 * m);\n m -= c[1] / 32768.0;\n c[0] = floor(8388608.0 * m);\n\n highp float ebias = e + 127.0;\n c[3] = floor(ebias / 2.0);\n ebias -= c[3] * 2.0;\n c[2] += floor(ebias) * 128.0;\n\n c[3] += 128.0 * step(0.0, -v);\n\n return c / 255.0;\n }\n`;var{getBroadcastDims:KP}=S;function jP(r,t,e){let n=[];if(r.forEach(f=>{let d=y.sizeFromShape(f.shapeInfo.logicalShape);if(f.shapeInfo.isUniform?n.push(`uniform float ${f.name}${d>1?`[${d}]`:\"\"};`):(n.push(`uniform sampler2D ${f.name};`),n.push(`uniform int offset${f.name};`)),e.enableShapeUniforms){let{uniformShape:h}=ww(e.packedInputs,f.shapeInfo.logicalShape,f.shapeInfo.texShape);switch(h.length){case 1:n.push(`uniform int ${f.name}Shape;`);break;case 2:n.push(`uniform ivec2 ${f.name}Shape;`);break;case 3:n.push(`uniform ivec3 ${f.name}Shape;`);break;case 4:n.push(`uniform ivec4 ${f.name}Shape;`);break;default:break}n.push(`uniform ivec2 ${f.name}TexShape;`)}}),e.enableShapeUniforms){switch(t.logicalShape.length){case 1:n.push(\"uniform int outShape;\");break;case 2:n.push(\"uniform ivec2 outShape;\"),n.push(\"uniform int outShapeStrides;\");break;case 3:n.push(\"uniform ivec3 outShape;\"),n.push(\"uniform ivec2 outShapeStrides;\");break;case 4:n.push(\"uniform ivec4 outShape;\"),n.push(\"uniform ivec3 outShapeStrides;\");break;default:break}n.push(\"uniform ivec2 outTexShape;\")}e.customUniforms&&e.customUniforms.forEach(f=>{n.push(`uniform ${f.type} ${f.name}${f.arrayIndex?`[${f.arrayIndex}]`:\"\"};`)});let o=n.join(`\n`),s=r.map(f=>ttt(f,t,e.packedInputs,e.enableShapeUniforms)).join(`\n`),i=t.texShape,a=Ve(),u=ntt(a),l,c,p=itt(a);return t.isPacked?(l=ett(t.logicalShape,i,e.enableShapeUniforms),c=stt(a)):(l=rtt(t.logicalShape,i,e.enableShapeUniforms),c=ott(a)),e.packedInputs&&(p+=ctt),[p,u,c,o,l,s,e.userCode].join(`\n`)}function dd(r,t=!1){let e=r.shapeInfo.logicalShape;switch(e.length){case 0:return Itt(r,t);case 1:return Stt(r,t);case 2:return ktt(r,t);case 3:return Ett(r,t);case 4:return Att(r,t);case 5:return $tt(r);case 6:return Dtt(r);default:throw new Error(`${e.length}-D input sampling is not yet supported`)}}function XP(r,t){switch(r.shapeInfo.logicalShape.length){case 0:return Ctt(r);case 1:return vtt(r,t);case 2:return Ntt(r,t);case 3:return Ttt(r,t);default:return _tt(r,t)}}function ttt(r,t,e=!1,n){let o=\"\";e?o+=XP(r,n):o+=dd(r,n);let s=r.shapeInfo.logicalShape,i=t.logicalShape;return s.length<=i.length&&(e?o+=Rtt(r,t):o+=Ftt(r,t)),o}function ett(r,t,e){switch(r.length){case 0:return YP();case 1:return ptt(r,t,e);case 2:return btt(r,t,e);case 3:return ftt(r,t,e);default:return htt(r,t,e)}}function rtt(r,t,e){switch(r.length){case 0:return YP();case 1:return mtt(r,t,e);case 2:return wtt(r,t,e);case 3:return dtt(r,t,e);case 4:return gtt(r,t,e);case 5:return xtt(r,t);case 6:return ytt(r,t);default:throw new Error(`${r.length}-D output sampling is not yet supported`)}}function ntt(r){return`\n float sampleTexture(sampler2D textureSampler, vec2 uv) {\n return ${r.texture2D}(textureSampler, uv).r;\n }\n `}function ott(r){return`\n void setOutput(float val) {\n ${r.output} = vec4(val, 0, 0, 0);\n }\n `}function stt(r){return`\n void setOutput(vec4 val) {\n ${r.output} = val;\n }\n `}function itt(r){return`${r.version}\n precision highp float;\n precision highp int;\n precision highp sampler2D;\n ${r.varyingFs} vec2 resultUV;\n ${r.defineOutput}\n const vec2 halfCR = vec2(0.5, 0.5);\n\n struct ivec5\n {\n int x;\n int y;\n int z;\n int w;\n int u;\n };\n\n struct ivec6\n {\n int x;\n int y;\n int z;\n int w;\n int u;\n int v;\n };\n\n uniform float NAN;\n ${r.defineSpecialNaN}\n ${r.defineSpecialInf}\n ${r.defineRound}\n\n int imod(int x, int y) {\n return x - y * (x / y);\n }\n\n int idiv(int a, int b, float sign) {\n int res = a / b;\n int mod = imod(a, b);\n if (sign < 0. && mod != 0) {\n res -= 1;\n }\n return res;\n }\n\n //Based on the work of Dave Hoskins\n //https://www.shadertoy.com/view/4djSRW\n #define HASHSCALE1 443.8975\n float random(float seed){\n vec2 p = resultUV * seed;\n vec3 p3 = fract(vec3(p.xyx) * HASHSCALE1);\n p3 += dot(p3, p3.yzx + 19.19);\n return fract((p3.x + p3.y) * p3.z);\n }\n\n ${att}\n ${ltt}\n ${utt}\n `}var att=`\nvec2 uvFromFlat(int texNumR, int texNumC, int index) {\n int texR = index / texNumC;\n int texC = index - texR * texNumC;\n return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n int texelIndex = index / 2;\n int texR = texelIndex / texNumC;\n int texC = texelIndex - texR * texNumC;\n return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`,ltt=`\nvec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,\n int texNumC, int row, int col) {\n int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n int texR = texelIndex / texNumC;\n int texC = texelIndex - texR * texNumC;\n return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`,utt=`\nvec2 packedUVfrom3D(int texNumR, int texNumC,\n int texelsInBatch, int texelsInLogicalRow, int b,\n int row, int col) {\n int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n int texR = index / texNumC;\n int texC = index - texR * texNumC;\n return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`,ctt=`\n float getChannel(vec4 frag, vec2 innerDims) {\n vec2 modCoord = mod(innerDims, 2.);\n return modCoord.x == 0. ?\n (modCoord.y == 0. ? frag.r : frag.g) :\n (modCoord.y == 0. ? frag.b : frag.a);\n }\n float getChannel(vec4 frag, int dim) {\n float modCoord = mod(float(dim), 2.);\n return modCoord == 0. ? frag.r : frag.g;\n }\n`;function YP(){return`\n int getOutputCoords() {\n return 0;\n }\n `}function ptt(r,t,e){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return n[0]===1?e?`\n int getOutputCoords() {\n return 2 * int(resultUV.x * ceil(float(outTexShape[1]) / 2.0));\n }\n `:`\n int getOutputCoords() {\n return 2 * int(resultUV.x * ${n[1]}.0);\n }\n `:n[1]===1?e?`\n int getOutputCoords() {\n return 2 * int(resultUV.y * ceil(float(outTexShape[0]) / 2.0));\n }\n `:`\n int getOutputCoords() {\n return 2 * int(resultUV.y * ${n[0]}.0);\n }\n `:e?`\n int getOutputCoords() {\n ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(packedTexShape[0], packedTexShape[1]));\n return 2 * (resTexRC.x * packedTexShape[1] + resTexRC.y);\n }\n `:`\n int getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${n[0]}, ${n[1]}));\n return 2 * (resTexRC.x * ${n[1]} + resTexRC.y);\n }\n `}function mtt(r,t,e){return t[0]===1?e?`\n int getOutputCoords() {\n return int(resultUV.x * float(outTexShape[1]));\n }\n `:`\n int getOutputCoords() {\n return int(resultUV.x * ${t[1]}.0);\n }\n `:t[1]===1?e?`\n int getOutputCoords() {\n return int(resultUV.y * float(outTexShape[0]));\n }\n `:`\n int getOutputCoords() {\n return int(resultUV.y * ${t[0]}.0);\n }\n `:e?`\n int getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(outTexShape[0], outTexShape[1]));\n return resTexRC.x * outTexShape[1] + resTexRC.y;\n }\n `:`\n int getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${t[0]}, ${t[1]}));\n return resTexRC.x * ${t[1]} + resTexRC.y;\n }\n `}function ftt(r,t,e){if(e)return`\n ivec3 getOutputCoords() {\n ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n int texelsInLogicalRow = int(ceil(float(outShape[2]) / 2.0));\n int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[1]) / 2.0));\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(packedTexShape[0], packedTexShape[1]));\n int index = resTexRC.x * packedTexShape[1] + resTexRC.y;\n\n int b = index / texelsInBatch;\n index -= b * texelsInBatch;\n\n int r = 2 * (index / texelsInLogicalRow);\n int c = imod(index, texelsInLogicalRow) * 2;\n\n return ivec3(b, r, c);\n }\n `;let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],o=Math.ceil(r[2]/2),s=o*Math.ceil(r[1]/2);return`\n ivec3 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${n[0]}, ${n[1]}));\n int index = resTexRC.x * ${n[1]} + resTexRC.y;\n\n int b = index / ${s};\n index -= b * ${s};\n\n int r = 2 * (index / ${o});\n int c = imod(index, ${o}) * 2;\n\n return ivec3(b, r, c);\n }\n `}function dtt(r,t,e){if(e)return`\n ivec3 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(outTexShape[0], outTexShape[1]));\n int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n ${Mc([\"r\",\"c\",\"d\"],r)}\n return ivec3(r, c, d);\n }\n`;let n=Js([\"r\",\"c\",\"d\"],r);return`\n ivec3 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${t[0]}, ${t[1]}));\n int index = resTexRC.x * ${t[1]} + resTexRC.y;\n ${n}\n return ivec3(r, c, d);\n }\n `}function htt(r,t,e){if(e)return`\n ivec4 getOutputCoords() {\n ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(packedTexShape[0], packedTexShape[1]));\n int index = resTexRC.x * packedTexShape[1] + resTexRC.y;\n\n int texelsInLogicalRow = int(ceil(float(outShape[3]) / 2.0));\n int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[2]) / 2.0));\n int texelsInBatchN = texelsInBatch * outShape[1];\n\n int b2 = index / texelsInBatchN;\n index -= b2 * texelsInBatchN;\n\n int b = index / texelsInBatch;\n index -= b * texelsInBatch;\n\n int r = 2 * (index / texelsInLogicalRow);\n int c = imod(index, texelsInLogicalRow) * 2;\n\n return ivec4(b2, b, r, c);\n }\n `;let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],o=Math.ceil(r[r.length-1]/2),s=o*Math.ceil(r[r.length-2]/2),i=s,a=\"\",u=\"b, r, c\";for(let l=2;l=1?c=\"coords = 0;\":c=a.map(b=>`coords.${p[b+l]} = 0;`).join(`\n`);let m=\"\";i<2&&s>0?m=\"coords\":m=r.shapeInfo.logicalShape.map((b,w)=>`coords.${p[w+l]}`).join(\", \");let f=\"return outputValue;\",h=y.sizeFromShape(r.shapeInfo.logicalShape)===1,x=y.sizeFromShape(t.logicalShape)===1;if(s===1&&!h&&!x)f=`\n return vec4(outputValue.xy, outputValue.xy);\n `;else if(h&&!x)i===1?f=`\n return vec4(outputValue.x, outputValue.x, 0., 0.);\n `:f=`\n return vec4(outputValue.x);\n `;else if(a.length){let b=s-2,w=s-1;a.indexOf(b)>-1&&a.indexOf(w)>-1?f=\"return vec4(outputValue.x);\":a.indexOf(b)>-1?f=\"return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);\":a.indexOf(w)>-1&&(f=\"return vec4(outputValue.xx, outputValue.zz);\")}return`\n vec4 ${o}() {\n ${u} coords = getOutputCoords();\n ${c}\n vec4 outputValue = get${n}(${m});\n ${f}\n }\n `}function Ftt(r,t){let e=r.name,n=e.charAt(0).toUpperCase()+e.slice(1),o=\"get\"+n+\"AtOutCoords\",s=t.texShape,i=r.shapeInfo.texShape,a=r.shapeInfo.logicalShape.length,u=t.logicalShape.length;if(!r.shapeInfo.isUniform&&a===u&&r.shapeInfo.flatOffset==null&&y.arraysEqual(i,s))return`\n float ${o}() {\n return sampleTexture(${e}, resultUV);\n }\n `;let l=zt(u),c=KP(r.shapeInfo.logicalShape,t.logicalShape),p=u-a,m,f=[\"x\",\"y\",\"z\",\"w\",\"u\",\"v\"];a===0?m=\"\":u<2&&c.length>=1?m=\"coords = 0;\":m=c.map(h=>`coords.${f[h+p]} = 0;`).join(`\n`);let d=\"\";return u<2&&a>0?d=\"coords\":d=r.shapeInfo.logicalShape.map((h,g)=>`coords.${f[g+p]}`).join(\", \"),`\n float ${o}() {\n ${l} coords = getOutputCoords();\n ${m}\n return get${n}(${d});\n }\n `}function zt(r){if(r<=1)return\"int\";if(r===2)return\"ivec2\";if(r===3)return\"ivec3\";if(r===4)return\"ivec4\";if(r===5)return\"ivec5\";if(r===6)return\"ivec6\";throw Error(`GPU for rank ${r} is not yet supported`)}function ww(r,t,e){let{newShape:n,keptDims:o}=y.squeezeShape(t),s=t.length,i=r&&s===3&&t[0]===1,a=i?t.slice(1):n,u=!r&&s>1&&!y.arraysEqual(t,e)&&n.lengthr[e]).join(\", \")}function JP(r,t,e,n){let o=e.map((c,p)=>{let m={logicalShape:c.shape,texShape:c.isUniform?null:c.texData.texShape,isUniform:c.isUniform,isPacked:c.isUniform?!1:c.texData.isPacked,flatOffset:null};return c.texData!=null&&c.texData.slice!=null&&c.texData.slice.flatOffset>0&&(m.flatOffset=c.texData.slice.flatOffset),{name:t.variableNames[p],shapeInfo:m}}),s=o.map(c=>c.shapeInfo),i={logicalShape:n.shape,texShape:n.texData.texShape,isUniform:!1,isPacked:n.texData.isPacked,flatOffset:null},a=jP(o,i,t),u=wk(r.gl,a),l=r.createProgram(u);return M().get(\"ENGINE_COMPILE_ONLY\")?{program:t,fragmentShader:u,source:a,webGLProgram:l,inShapeInfos:s,outShapeInfo:i,uniformLocations:null,customUniformLocations:null,infLoc:null,nanLoc:null,inShapesLocations:null,inTexShapesLocations:null,outShapeLocation:null,outShapeStridesLocation:null,outTexShapeLocation:null}:Object.assign({program:t,fragmentShader:u,source:a,webGLProgram:l,inShapeInfos:s,outShapeInfo:i},Mk(r,t,l))}function Mk(r,t,e){let n={},o={},s={},i=[],a,u,l,c=null,p=null;p=r.getUniformLocation(e,\"NAN\",!1),M().getNumber(\"WEBGL_VERSION\")===1&&(c=r.getUniformLocation(e,\"INFINITY\",!1));let m=!1;for(let f=0;f{i[d]=r.getUniformLocation(e,f.name,m)}),{uniformLocations:n,customUniformLocations:i,infLoc:c,nanLoc:p,inShapesLocations:o,inTexShapesLocations:s,outShapeLocation:a,outShapeStridesLocation:l,outTexShapeLocation:u}}function ZP(r,t){if(r.length!==t.length)throw Error(`Binary was compiled with ${r.length} inputs, but was executed with ${t.length} inputs`);r.forEach((e,n)=>{let o=e.logicalShape,s=t[n],i=s.shape;if(!y.arraysEqual(o,i))throw Error(`Binary was compiled with different shapes than the current args. Shapes ${o} and ${i} must match`);if(e.isUniform&&s.isUniform)return;let a=e.texShape,u=s.isUniform?null:s.texData.texShape;if(!y.arraysEqual(a,u))throw Error(`Binary was compiled with different texture shapes than the current args. Shape ${a} and ${u} must match`)})}function QP(r,t,e,n,o){t.program.enableShapeUniforms||(ZP(t.inShapeInfos,e),ZP([t.outShapeInfo],[n]));let s=n.texData.texture,i=n.texData.texShape;n.texData.isPacked?r.setOutputPackedMatrixTexture(s.texture,i[0],i[1]):r.setOutputMatrixTexture(s.texture,i[0],i[1]),r.setProgram(t.webGLProgram),M().getNumber(\"WEBGL_VERSION\")===1&&t.infLoc!==null&&r.gl.uniform1f(t.infLoc,1/0),t.nanLoc!==null&&r.gl.uniform1f(t.nanLoc,NaN),e.forEach((u,l)=>{let c=t.program.variableNames[l],p=t.uniformLocations[c],m=t.uniformLocations[`offset${c}`],f=t.inShapesLocations[`${c}Shape`],d=t.inTexShapesLocations[`${c}TexShape`];if(f){let{uniformShape:h}=ww(t.program.packedInputs,u.shape,u.texData.texShape);switch(h.length){case 1:r.gl.uniform1iv(f,new Int32Array(h));break;case 2:r.gl.uniform2iv(f,new Int32Array(h));break;case 3:r.gl.uniform3iv(f,new Int32Array(h));break;case 4:r.gl.uniform4iv(f,new Int32Array(h));break;default:break}}if(d&&r.gl.uniform2i(d,u.texData.texShape[0],u.texData.texShape[1]),p!=null){if(u.isUniform){if(y.sizeFromShape(u.shape)<2)r.gl.uniform1f(p,u.uniformValues[0]);else{let h=u.uniformValues;h instanceof Float32Array||(h=new Float32Array(h)),r.gl.uniform1fv(p,h)}return}u.texData.slice!=null&&m!=null&&r.gl.uniform1i(m,u.texData.slice.flatOffset),r.setInputMatrixTexture(u.texData.texture.texture,p,l)}});let a=t.outShapeLocation;if(a)switch(n.shape.length){case 1:r.gl.uniform1iv(a,new Int32Array(n.shape));break;case 2:r.gl.uniform2iv(a,new Int32Array(n.shape));break;case 3:r.gl.uniform3iv(a,new Int32Array(n.shape));break;case 4:r.gl.uniform4iv(a,new Int32Array(n.shape));break;default:break}if(t.outShapeStridesLocation){let u=y.computeStrides(n.shape);switch(n.shape.length){case 2:r.gl.uniform1iv(t.outShapeStridesLocation,new Int32Array(u));break;case 3:r.gl.uniform2iv(t.outShapeStridesLocation,new Int32Array(u));break;case 4:r.gl.uniform3iv(t.outShapeStridesLocation,new Int32Array(u));break;default:break}}t.outTexShapeLocation&&r.gl.uniform2i(t.outTexShapeLocation,n.texData.texShape[0],n.texData.texShape[1]),t.program.customUniforms&&o&&t.program.customUniforms.forEach((u,l)=>{let c=t.customUniformLocations[l],p=o[l];if(u.type===\"float\")r.gl.uniform1fv(c,p);else if(u.type===\"vec2\")r.gl.uniform2fv(c,p);else if(u.type===\"vec3\")r.gl.uniform3fv(c,p);else if(u.type===\"vec4\")r.gl.uniform4fv(c,p);else if(u.type===\"int\")r.gl.uniform1iv(c,p);else if(u.type===\"ivec2\")r.gl.uniform2iv(c,p);else if(u.type===\"ivec3\")r.gl.uniform3iv(c,p);else if(u.type===\"ivec4\")r.gl.uniform4iv(c,p);else throw Error(`uniform type ${u.type} is not supported yet.`)}),r.executeProgram()}function tL(r,t,e){let n=\"\";t.concat(e).forEach(i=>{let a=i.texData!=null&&i.texData.slice!=null&&i.texData.slice.flatOffset>0;if(r.enableShapeUniforms&&!i.isUniform){let u=i.texData.texShape,{useSqueezeShape:l,uniformShape:c,keptDims:p}=ww(r.packedInputs,i.shape,u),m=\"\",f=\"\",d=\"\";if(c.length===1&&r.packedInputs){let N=[Math.ceil(u[0]/2),Math.ceil(u[1]/2)];m=`${N[0]>1}_${N[1]>1}`}else if(c.length===2&&!r.packedInputs)f=`${c[0]>1}_${c[1]>1}`;else if(c.length>2&&!r.packedInputs){let N=y.computeStrides(c);d=`${N[0]===u[1]}_${N[N.length-1]===u[1]}`}let h=i.shape.length,g=c.length===2&&y.arraysEqual(i.shape,u),x=y.sizeFromShape(i.shape)===1,b=S.getBroadcastDims(i.shape,e.shape),w=!r.packedInputs&&h===e.shape.length&&y.arraysEqual(u,e.texData.texShape),C=r.packedInputs||c.length>2?\"\":`${u[0]>1}_${u[1]>1}`;n+=`${h}_${w}_${l?p:\"\"}_${c.length}_${x}_${b}_${g}_${m}_${f}_${d}_${C}_${a}`}else{let u=i.isUniform?\"uniform\":i.texData.texShape;n+=`${i.shape}_${u}_${a}`}});let o=r.userCode,s=r.constructor.name;return s+=\"_\"+n+\"_\"+o+`${M().getNumber(\"WEBGL_VERSION\")}`,s}function we(r){return M().getBool(\"WEBGL_USE_SHAPES_UNIFORMS\")&&r<=4}var Cw=class{constructor(t){this.variableNames=[\"A\"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=ku.DENSE,this.customUniforms=[{name:\"texShape\",type:\"ivec2\"}];let e=Ve();this.outputShape=t,this.enableShapeUniforms=we(this.outputShape.length),this.userCode=`\n ivec3 outCoordsFromFlatIndex(int index) {\n ${this.enableShapeUniforms?Mc([\"r\",\"c\",\"d\"],t):Js([\"r\",\"c\",\"d\"],t)}\n return ivec3(r, c, d);\n }\n\n void main() {\n ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1]));\n int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y);\n\n vec4 result = vec4(0.);\n\n for (int i=0; i<4; i++) {\n int flatIndex = index + i;\n ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n result[i] = getA(rc.x, rc.y, rc.z);\n }\n\n ${e.output} = result;\n }\n `}};var Iw=class{constructor(t){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=ku.DENSE,this.customUniforms=[{name:\"texShape\",type:\"ivec2\"}];let e=Ve();this.outputShape=t,this.enableShapeUniforms=we(this.outputShape.length),this.userCode=`\n ivec3 outCoordsFromFlatIndex(int index) {\n ${this.enableShapeUniforms?Mc([\"r\",\"c\",\"d\"],t):Js([\"r\",\"c\",\"d\"],t)}\n return ivec3(r, c, d);\n }\n\n void main() {\n ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1]));\n int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y);\n\n vec4 result = vec4(0.);\n\n for (int i=0; i<4; i++) {\n int flatIndex = index + i;\n ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n }\n\n ${e.output} = result;\n }\n `}};var vw=class{constructor(t){this.variableNames=[\"A\"],this.outTexUsage=Kr.DOWNLOAD;let e=Ve();this.outputShape=t,this.userCode=`\n ${bw}\n\n void main() {\n float x = getAAtOutCoords();\n ${e.output} = encode_float(x);\n }\n `}};var Sw=class{constructor(t){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=Kr.DOWNLOAD;let e=Ve();this.outputShape=t,this.userCode=`\n ${bw}\n\n void main() {\n ivec3 coords = getOutputCoords();\n float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n ${e.output} = encode_float(x);\n }\n `}};var Nw=class{constructor(t,e=!1){this.variableNames=[\"A\"],this.customUniforms=[{name:\"texShape\",type:\"ivec2\"}];let n=Ve();this.outputShape=t,this.enableShapeUniforms=we(this.outputShape.length);let o=\"result\";e&&(o=\"floor(result * 255. + 0.5)\"),this.userCode=`\n ${this.enableShapeUniforms?md():pd(t)}\n\n void main() {\n ivec3 coords = getOutputCoords();\n\n int flatIndex = getFlatIndex(coords);\n int offset = imod(flatIndex, 4);\n\n flatIndex = idiv(flatIndex, 4, 1.);\n\n int r = flatIndex / texShape[1];\n int c = imod(flatIndex, texShape[1]);\n vec2 uv = (vec2(c, r) + halfCR) / vec2(texShape[1], texShape[0]);\n vec4 values = ${n.texture2D}(A, uv);\n\n float result;\n\n if(offset == 0) {\n result = values[0];\n } else if(offset == 1) {\n result = values[1];\n } else if(offset == 2) {\n result = values[2];\n } else {\n result = values[3];\n }\n\n ${n.output} = vec4(${o}, 0., 0., 0.);\n }\n `}};var kw=class{constructor(t,e=!1){this.variableNames=[\"A\"],this.packedInputs=!1,this.packedOutput=!0,this.customUniforms=[{name:\"texShape\",type:\"ivec2\"}];let n=Ve();this.outputShape=t,this.enableShapeUniforms=we(this.outputShape.length);let o=\"\",s=\"result\";e&&(s=\"floor(result * 255. + 0.5)\");for(let i=0;i<=1;i++)for(let a=0;a<=1;a++){let u=i*2+a;o+=`\n localCoords = coords;\n if(localCoords[2] + ${a} < ${this.enableShapeUniforms?\"outShape[2]\":`${t[2]}`}) {\n localCoords[2] += ${a};\n if (localCoords[1] + ${i} < ${this.enableShapeUniforms?\"outShape[1]\":`${t[1]}`}) {\n localCoords[1] += ${i};\n\n flatIndex = getFlatIndex(localCoords);\n offset = imod(flatIndex, 4);\n\n flatIndex = idiv(flatIndex, 4, 1.);\n\n int r = flatIndex / texShape[1];\n int c = imod(flatIndex, texShape[1]);\n vec2 uv = (vec2(c, r) + halfCR) / vec2(texShape[1], texShape[0]);\n values = ${n.texture2D}(A, uv);\n\n if (offset == 0) {\n result[${u}] = values[0];\n } else if (offset == 1) {\n result[${u}] = values[1];\n } else if (offset == 2) {\n result[${u}] = values[2];\n } else {\n result[${u}] = values[3];\n }\n }\n }\n `}this.userCode=`\n ${this.enableShapeUniforms?md():pd(t)}\n\n void main() {\n ivec3 coords = getOutputCoords();\n\n vec4 result = vec4(0.);\n int flatIndex, r, c, offset;\n ivec3 localCoords;\n vec2 uv;\n vec4 values;\n\n ${o}\n\n ${n.output} = ${s};\n }\n `}};var eT={};Gt(eT,{bindVertexProgramAttributeStreams:()=>Kk,createBufferFromOutputTexture:()=>Yk,createFloat16MatrixTexture:()=>Wk,createFloat16PackedMatrixTexture:()=>qk,createFloat32MatrixTexture:()=>Gk,createIndexBuffer:()=>Vk,createPackedMatrixTexture:()=>Hk,createUnsignedBytesMatrixTexture:()=>Uk,createVertexBuffer:()=>Bk,createVertexShader:()=>zk,downloadByteEncodedFloatMatrixFromOutputTexture:()=>Jk,downloadFloat32MatrixFromBuffer:()=>Zk,downloadMatrixFromPackedOutputTexture:()=>tT,downloadPackedMatrixFromBuffer:()=>Qk,getInternalFormatForFloat16MatrixTexture:()=>Ew,getInternalFormatForFloat16PackedMatrixTexture:()=>$w,getInternalFormatForFloat32MatrixTexture:()=>Tw,getInternalFormatForPackedMatrixTexture:()=>Aw,getInternalFormatForUnsignedBytesMatrixTexture:()=>_w,uploadDenseMatrixToTexture:()=>jk,uploadPixelDataToTexture:()=>Xk});function zk(r){let t=Ve(),e=`${t.version}\n precision highp float;\n ${t.attribute} vec3 clipSpacePos;\n ${t.attribute} vec2 uv;\n ${t.varyingVs} vec2 resultUV;\n\n void main() {\n gl_Position = vec4(clipSpacePos, 1);\n resultUV = uv;\n }`;return bk(r,e)}function Bk(r){let t=new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]);return vk(r,t)}function Vk(r){let t=new Uint16Array([0,1,2,2,1,3]);return Sk(r,t)}function jh(r,t,e,n,o,s){kk(t,e);let i=Nk(r),a=r.TEXTURE_2D;return yt(r,()=>r.bindTexture(a,i)),yt(r,()=>r.texParameteri(a,r.TEXTURE_WRAP_S,r.CLAMP_TO_EDGE)),yt(r,()=>r.texParameteri(a,r.TEXTURE_WRAP_T,r.CLAMP_TO_EDGE)),yt(r,()=>r.texParameteri(a,r.TEXTURE_MIN_FILTER,r.NEAREST)),yt(r,()=>r.texParameteri(a,r.TEXTURE_MAG_FILTER,r.NEAREST)),M().getNumber(\"WEBGL_VERSION\")===1?yt(r,()=>r.texImage2D(a,0,n,t,e,0,o,s,null)):yt(r,()=>r.texStorage2D(a,1,n,t,e)),yt(r,()=>r.bindTexture(r.TEXTURE_2D,null)),{texture:i,texShape:[e,t]}}function Tw(r){return r.internalFormatFloat}function Gk(r,t,e,n){let[o,s]=Lc(t,e);return jh(r,o,s,Tw(n),n.textureFormatFloat,r.FLOAT)}function Ew(r){return r.internalFormatHalfFloat}function Wk(r,t,e,n){let[o,s]=Lc(t,e);return jh(r,o,s,Ew(n),n.textureFormatFloat,n.textureTypeHalfFloat)}function _w(r){return r.downloadTextureFormat}function Uk(r,t,e,n){let[o,s]=Lc(t,e);return jh(r,o,s,_w(n),r.RGBA,r.UNSIGNED_BYTE)}function Aw(r){return r.internalFormatPackedFloat}function Hk(r,t,e,n){let[o,s]=Ki(t,e);return jh(r,o,s,Aw(n),r.RGBA,r.FLOAT)}function $w(r){return r.internalFormatPackedHalfFloat}function qk(r,t,e,n){let[o,s]=Ki(t,e);return jh(r,o,s,$w(n),r.RGBA,n.textureTypeHalfFloat)}function Kk(r,t,e){return yt(r,()=>r.bindBuffer(r.ARRAY_BUFFER,e)),gw(r,t,\"clipSpacePos\",e,3,20,0)&&gw(r,t,\"uv\",e,2,20,12)}function jk(r,t,e,n,o,s){yt(r,()=>r.bindTexture(r.TEXTURE_2D,t));let i,a,u;o instanceof Uint8Array?(i=new Uint8Array(e*n*4),a=r.UNSIGNED_BYTE,u=r.RGBA):(i=new Float32Array(e*n*4),a=r.FLOAT,u=s.internalFormatPackedFloat),i.set(o),M().getNumber(\"WEBGL_VERSION\")===2?yt(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,e,n,r.RGBA,a,i)):yt(r,()=>r.texImage2D(r.TEXTURE_2D,0,u,e,n,0,r.RGBA,a,i)),yt(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function Xk(r,t,e){yt(r,()=>r.bindTexture(r.TEXTURE_2D,t)),e.data instanceof Uint8Array?M().getNumber(\"WEBGL_VERSION\")===2?yt(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,e.width,e.height,r.RGBA,r.UNSIGNED_BYTE,e.data)):yt(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,e.width,e.height,0,r.RGBA,r.UNSIGNED_BYTE,e.data)):M().getNumber(\"WEBGL_VERSION\")===2?yt(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,e)):yt(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,r.RGBA,r.UNSIGNED_BYTE,e)),yt(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function Yk(r,t,e,n){let o=r.createBuffer();yt(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,o));let a=4*4*t*e;return yt(r,()=>r.bufferData(r.PIXEL_PACK_BUFFER,a,r.STREAM_READ)),yt(r,()=>r.readPixels(0,0,e,t,r.RGBA,r.FLOAT,0)),yt(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,null)),o}function Zk(r,t,e){let n=r,o=new Float32Array(e);return n.bindBuffer(n.PIXEL_PACK_BUFFER,t),n.getBufferSubData(n.PIXEL_PACK_BUFFER,0,o),n.bindBuffer(n.PIXEL_PACK_BUFFER,null),o}function Jk(r,t,e,n){let[o,s]=Lc(t,e),i=4,a=new Uint8Array(BP(t*e,i));return yt(r,()=>r.readPixels(0,0,o,s,n.downloadTextureFormat,r.UNSIGNED_BYTE,a)),new Float32Array(a.buffer)}function Qk(r,t,e,n,o,s,i,a){let u=r,l=new Float32Array(VP(s,i));return u.bindBuffer(u.PIXEL_PACK_BUFFER,t),u.getBufferSubData(u.PIXEL_PACK_BUFFER,0,l),u.bindBuffer(u.PIXEL_PACK_BUFFER,null),l}function tT(r,t,e){let n=new Float32Array(t*e*4);return yt(r,()=>r.readPixels(0,0,e,t,r.RGBA,r.FLOAT,n)),n}var Bc=class{constructor(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];let e=M().getNumber(\"WEBGL_VERSION\");t!=null?(this.gl=t,hk(e,t)):this.gl=Bn(e);let n=\"WEBGL_color_buffer_float\",o=\"EXT_color_buffer_half_float\";if(this.parallelCompilationExtension=this.gl.getExtension(\"KHR_parallel_shader_compile\"),M().getNumber(\"WEBGL_VERSION\")===1){let s=\"OES_texture_float\",i=\"OES_texture_half_float\";if(this.textureFloatExtension=ld(this.gl,s),Vn(this.gl,i))this.textureHalfFloatExtension=ld(this.gl,i);else if(M().get(\"WEBGL_FORCE_F16_TEXTURES\"))throw new Error(\"GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.\");if(this.colorBufferFloatExtension=this.gl.getExtension(n),Vn(this.gl,o))this.colorBufferHalfFloatExtension=ld(this.gl,o);else if(M().get(\"WEBGL_FORCE_F16_TEXTURES\"))throw new Error(\"GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.\")}else if(n=\"EXT_color_buffer_float\",Vn(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else if(Vn(this.gl,o))this.colorBufferHalfFloatExtension=this.gl.getExtension(o);else throw new Error(\"GL context does not support color renderable floats\");this.vertexBuffer=Bk(this.gl),this.indexBuffer=Vk(this.gl),this.framebuffer=Tk(this.gl),this.textureConfig=Uh(this.gl,this.textureHalfFloatExtension)}get debug(){return M().getBool(\"DEBUG\")}dispose(){if(this.disposed)return;this.program!=null&&console.warn(\"Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing.\"),this.outputTexture!=null&&console.warn(\"Disposing a GPGPUContext that still has a bound output matrix texture. This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.\");let t=this.gl;yt(t,()=>t.finish()),yt(t,()=>t.bindFramebuffer(t.FRAMEBUFFER,null)),yt(t,()=>t.deleteFramebuffer(this.framebuffer)),yt(t,()=>t.bindBuffer(t.ARRAY_BUFFER,null)),yt(t,()=>t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null)),yt(t,()=>t.deleteBuffer(this.indexBuffer)),this.disposed=!0}createFloat32MatrixTexture(t,e){return this.throwIfDisposed(),Gk(this.gl,t,e,this.textureConfig)}createFloat16MatrixTexture(t,e){return this.throwIfDisposed(),Wk(this.gl,t,e,this.textureConfig)}createUnsignedBytesMatrixTexture(t,e){return this.throwIfDisposed(),Uk(this.gl,t,e,this.textureConfig)}uploadPixelDataToTexture(t,e){this.throwIfDisposed(),Xk(this.gl,t,e)}uploadDenseMatrixToTexture(t,e,n,o){this.throwIfDisposed(),jk(this.gl,t,e,n,o,this.textureConfig)}createFloat16PackedMatrixTexture(t,e){return this.throwIfDisposed(),qk(this.gl,t,e,this.textureConfig)}createPackedMatrixTexture(t,e){return this.throwIfDisposed(),Hk(this.gl,t,e,this.textureConfig)}deleteMatrixTexture(t){this.throwIfDisposed(),this.outputTexture===t&&(xw(this.gl,this.framebuffer),this.outputTexture=null),yt(this.gl,()=>this.gl.deleteTexture(t))}downloadByteEncodedFloatMatrixFromOutputTexture(t,e,n){return this.downloadMatrixDriver(t,()=>Jk(this.gl,e,n,this.textureConfig))}downloadPackedMatrixFromBuffer(t,e,n,o,s,i){return Qk(this.gl,t,e,n,o,s,i,this.textureConfig)}downloadFloat32MatrixFromBuffer(t,e){return Zk(this.gl,t,e)}createBufferFromTexture(t,e,n){this.bindTextureToFrameBuffer(t);let o=Yk(this.gl,e,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),o}createAndWaitForFence(){let t=this.createFence(this.gl);return this.pollFence(t)}createFence(t){let e,n;if(M().getBool(\"WEBGL_FENCE_API_ENABLED\")){let o=t,s=o.fenceSync(o.SYNC_GPU_COMMANDS_COMPLETE,0);t.flush(),n=()=>{let i=o.clientWaitSync(s,0,0);return i===o.ALREADY_SIGNALED||i===o.CONDITION_SATISFIED},e=s}else M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0?(e=this.beginQuery(),this.endQuery(),n=()=>this.isQueryAvailable(e,M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))):n=()=>!0;return{query:e,isFencePassed:n}}downloadMatrixFromPackedTexture(t,e,n){return this.downloadMatrixDriver(t,()=>tT(this.gl,e,n))}createProgram(t){this.throwIfDisposed();let e=this.gl;this.vertexShader==null&&(this.vertexShader=zk(e));let n=Ck(e);return yt(e,()=>e.attachShader(n,this.vertexShader)),yt(e,()=>e.attachShader(n,t)),Ik(e,n),this.debug&&Hh(e,n),this.vertexAttrsAreBound||(this.setProgram(n),this.vertexAttrsAreBound=Kk(e,this.program,this.vertexBuffer)),n}deleteProgram(t){this.throwIfDisposed(),t===this.program&&(this.program=null),t!=null&&yt(this.gl,()=>this.gl.deleteProgram(t))}setProgram(t){this.throwIfDisposed(),this.program=t,this.program!=null&&this.debug&&Hh(this.gl,this.program),yt(this.gl,()=>this.gl.useProgram(t))}getUniformLocation(t,e,n=!0){return this.throwIfDisposed(),n?Ek(this.gl,t,e):_k(this.gl,t,e)}getAttributeLocation(t,e){return this.throwIfDisposed(),yt(this.gl,()=>this.gl.getAttribLocation(t,e))}getUniformLocationNoThrow(t,e){return this.throwIfDisposed(),this.gl.getUniformLocation(t,e)}setInputMatrixTexture(t,e,n){this.throwIfDisposed(),this.throwIfNoProgram(),Ak(this.gl,t,e,n)}setOutputMatrixTexture(t,e,n){this.setOutputMatrixTextureDriver(t,n,e)}setOutputPackedMatrixTexture(t,e,n){this.throwIfDisposed();let[o,s]=Ki(e,n);this.setOutputMatrixTextureDriver(t,o,s)}setOutputMatrixWriteRegion(t,e,n,o){this.setOutputMatrixWriteRegionDriver(n,t,o,e)}setOutputPackedMatrixWriteRegion(t,e,n,o){throw new Error(\"setOutputPackedMatrixWriteRegion not implemented.\")}debugValidate(){this.program!=null&&Hh(this.gl,this.program),ud(this.gl)}executeProgram(){this.throwIfDisposed(),this.throwIfNoProgram();let t=this.gl;this.debug&&this.debugValidate(),yt(t,()=>t.drawElements(t.TRIANGLES,6,t.UNSIGNED_SHORT,0))}blockUntilAllProgramsCompleted(){this.throwIfDisposed(),yt(this.gl,()=>this.gl.finish())}getQueryTimerExtension(){return this.disjointQueryTimerExtension==null&&(this.disjointQueryTimerExtension=ld(this.gl,M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")===2?\"EXT_disjoint_timer_query_webgl2\":\"EXT_disjoint_timer_query\")),this.disjointQueryTimerExtension}getQueryTimerExtensionWebGL2(){return this.getQueryTimerExtension()}getQueryTimerExtensionWebGL1(){return this.getQueryTimerExtension()}beginQuery(){if(M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")===2){let n=this.gl,o=this.getQueryTimerExtensionWebGL2(),s=n.createQuery();return n.beginQuery(o.TIME_ELAPSED_EXT,s),s}let t=this.getQueryTimerExtensionWebGL1(),e=t.createQueryEXT();return t.beginQueryEXT(t.TIME_ELAPSED_EXT,e),e}endQuery(){if(M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")===2){let e=this.gl,n=this.getQueryTimerExtensionWebGL2();e.endQuery(n.TIME_ELAPSED_EXT);return}let t=this.getQueryTimerExtensionWebGL1();t.endQueryEXT(t.TIME_ELAPSED_EXT)}async waitForQueryAndGetTime(t){return await y.repeatedTry(()=>this.disposed||this.isQueryAvailable(t,M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))),this.getQueryTime(t,M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))}getQueryTime(t,e){if(e===0)return null;if(e===2){let n=this.gl;return n.getQueryParameter(t,n.QUERY_RESULT)/1e6}else{let n=this.getQueryTimerExtensionWebGL1();return n.getQueryObjectEXT(t,n.QUERY_RESULT_EXT)/1e6}}isQueryAvailable(t,e){if(e===0)return!0;if(e===2){let n=this.gl,o=this.getQueryTimerExtensionWebGL2(),s=n.getQueryParameter(t,n.QUERY_RESULT_AVAILABLE);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(o.GPU_DISJOINT_EXT)),s&&!this.disjoint}else{let n=this.getQueryTimerExtensionWebGL1(),o=n.getQueryObjectEXT(t,n.QUERY_RESULT_AVAILABLE_EXT);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(n.GPU_DISJOINT_EXT)),o&&!this.disjoint}}pollFence(t){return new Promise(e=>{this.addItemToPoll(()=>t.isFencePassed(),()=>e())})}pollItems(){let t=Ltt(this.itemsToPoll.map(e=>e.isDoneFn));for(let e=0;e<=t;++e){let{resolveFn:n}=this.itemsToPoll[e];n()}this.itemsToPoll=this.itemsToPoll.slice(t+1)}addItemToPoll(t,e){if(this.itemsToPoll.push({isDoneFn:t,resolveFn:e}),this.itemsToPoll.length>1)return;let n;\"setTimeoutCustom\"in M().platform&&(n=M().platform.setTimeoutCustom.bind(M().platform)),y.repeatedTry(()=>(this.pollItems(),this.itemsToPoll.length===0),()=>0,null,n)}bindTextureToFrameBuffer(t){this.throwIfDisposed(),qh(this.gl,t,this.framebuffer),this.debug&&ud(this.gl)}unbindTextureToFrameBuffer(){this.outputTexture!=null?(qh(this.gl,this.outputTexture,this.framebuffer),this.debug&&ud(this.gl)):xw(this.gl,this.framebuffer)}downloadMatrixDriver(t,e){this.bindTextureToFrameBuffer(t);let n=e();return this.unbindTextureToFrameBuffer(),n}setOutputMatrixTextureDriver(t,e,n){this.throwIfDisposed();let o=this.gl;qh(o,t,this.framebuffer),this.debug&&ud(o),this.outputTexture=t,yt(o,()=>o.viewport(0,0,e,n)),yt(o,()=>o.scissor(0,0,e,n))}setOutputMatrixWriteRegionDriver(t,e,n,o){this.throwIfDisposed(),yt(this.gl,()=>this.gl.scissor(t,e,n,o))}throwIfDisposed(){if(this.disposed)throw new Error(\"Attempted to use disposed GPGPUContext.\")}throwIfNoProgram(){if(this.program==null)throw new Error(\"No GPU program is currently set.\")}};function Ltt(r){let t=0;for(;t`${r}.${e}`)}function Qe(r,t){return t===1?[r]:rT(r,t)}function WL(r,t){if(r===1)return\"rc\";let e=\"\";for(let n=0;n ${this.enableShapeUniforms?\"outShape\":this.outputShape[0]}`;let e=\"\";for(let n=this.rank-2;n= ${this.enableShapeUniforms?`outShape[${n}]`:this.outputShape[n]}`,n= ${n};\n bool rEdge = rp1 >= ${o};\n `}getOutput(t){let e=this.getSourceCoordsArr(t);return this.rank===1?`getA(rc), (rc + 1 >= ${this.enableShapeUniforms?\"outShape\":this.outputShape[0]} ? 0. : getA(rc + 1)), 0, 0`:`getA(${e[0]}),\n cEdge ? 0. : getA(${e[1]}),\n rEdge ? 0. : getA(${e[2]}),\n rEdge || cEdge ? 0. : getA(${e[3]})`}};var yd=class{constructor(t,e){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"inputShape\",type:\"ivec3\"}],this.outputShape=t,this.enableShapeUniforms=we(this.outputShape.length);let n=\"\";for(let o=0;o<4;o++){let s=\"thisRC = rc;\";o%2===1&&(s+=\"thisRC.z += 1;\"),o>1&&(s+=\"thisRC.y += 1;\"),n+=`\n ${s}\n ${o>0?\"if(thisRC.y < rows && thisRC.z < cols){\":\"\"}\n int flatIndex = getFlatIndex(thisRC);\n\n ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n result[${o}] =\n getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n ${o>0?\"}\":\"\"}\n `}this.userCode=`\n ${Mtt(e,this.enableShapeUniforms)}\n ${this.enableShapeUniforms?md():pd(t)}\n\n void main() {\n ivec3 rc = getOutputCoords();\n\n vec4 result = vec4(0.);\n\n ivec3 thisRC;\n int rows = ${this.enableShapeUniforms?\"outShape[1]\":t[1]};\n int cols = ${this.enableShapeUniforms?\"outShape[2]\":t[2]};\n\n ${n}\n\n setOutput(result);\n }\n `}};function Mtt(r,t){return`\n ivec3 inputCoordsFromReshapedOutCoords(int index) {\n ${t?qP([\"r\",\"c\",\"d\"],\"inputShape\"):Js([\"r\",\"c\",\"d\"],r)}\n return ivec3(r, c, d);\n }\n `}var Pw=class{constructor(t){this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}acquireTexture(t,e,n){let o=HL(e,n),s=qL(t,o,n);s in this.freeTextures||(this.freeTextures[s]=[]),s in this.usedTextures||(this.usedTextures[s]=[]);let i=UL(t,o,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[s].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=i,this.log();let u=this.freeTextures[s].shift();return this.usedTextures[s].push(u),u}let a;return o===Fr.PACKED_2X2_FLOAT32?a=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):o===Fr.PACKED_2X2_FLOAT16?a=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):o===Fr.UNPACKED_FLOAT32?a=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):o===Fr.UNPACKED_FLOAT16?a=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):o===Fr.PACKED_4X1_UNSIGNED_BYTE&&(a=this.gpgpu.createUnsignedBytesMatrixTexture(t[0],t[1])),this.usedTextures[s].push(a),this.numUsedTextures++,this._numBytesAllocated+=i,this.log(),a}releaseTexture(t,e,n,o){if(this.freeTextures==null)return;let s=HL(n,o),i=qL(e,s,o);i in this.freeTextures||(this.freeTextures[i]=[]);let a=UL(e,s,this.gpgpu.gl,this.gpgpu.textureConfig,o),u=M().get(\"WEBGL_DELETE_TEXTURE_THRESHOLD\");u!==-1&&this._numBytesAllocated>u?(this.gpgpu.deleteMatrixTexture(t.texture),this._numBytesAllocated-=a):(this.freeTextures[i].push(t),this.numFreeTextures++,this._numBytesFree+=a),this.numUsedTextures--;let l=this.usedTextures[i],c=l.indexOf(t);if(c<0)throw new Error(\"Cannot release a texture that was never provided by this texture manager\");l.splice(c,1),this.log()}log(){if(!this.logEnabled)return;let t=this.numFreeTextures+this.numUsedTextures;console.log(\"Free/Used\",`${this.numFreeTextures} / ${this.numUsedTextures}`,`(${t})`);let e=this._numBytesFree/this._numBytesAllocated;console.log(`Bytes allocated: ${this._numBytesAllocated}`),console.log(`Bytes unused: ${this._numBytesFree} (${Math.round(100*e)}%)`)}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(this.freeTextures!=null){for(let t in this.freeTextures)this.freeTextures[t].forEach(e=>{this.gpgpu.deleteMatrixTexture(e.texture)});for(let t in this.usedTextures)this.usedTextures[t].forEach(e=>{this.gpgpu.deleteMatrixTexture(e.texture)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}};function ztt(r,t){let e=r;if(t===e.R32F)return 4;if(t===e.R16F)return 2;if(t===e.RGBA32F)return 16;if(t===r.RGBA)return 16;if(t===e.RGBA16F)return 8;if(t===e.RGBA8)return 4;throw new Error(`Unknown internal format ${t}`)}function UL(r,t,e,n,o){let s=Btt(t,n),i;if(o){let[u,l]=Ki(r[0],r[1]);i=u*l}else{let[u,l]=Lc(r[0],r[1]);i=u*l}let a=ztt(e,s);return i*a}function Btt(r,t){switch(r){case Fr.PACKED_2X2_FLOAT32:return Aw(t);case Fr.PACKED_2X2_FLOAT16:return $w(t);case Fr.UNPACKED_FLOAT32:return Tw(t);case Fr.UNPACKED_FLOAT16:return Ew(t);case Fr.PACKED_4X1_UNSIGNED_BYTE:return _w(t);default:throw new Error(`Unknown physical texture type ${r}`)}}function Vtt(r){return M().getBool(\"WEBGL_RENDER_FLOAT32_ENABLED\")?r?Fr.PACKED_2X2_FLOAT32:Fr.UNPACKED_FLOAT32:r?Fr.PACKED_2X2_FLOAT16:Fr.UNPACKED_FLOAT16}function HL(r,t){if(r===Kr.UPLOAD)return Fr.PACKED_2X2_FLOAT32;if(r===Kr.RENDER||r==null)return Vtt(t);if(r===Kr.DOWNLOAD||r===Kr.PIXELS)return Fr.PACKED_4X1_UNSIGNED_BYTE;throw new Error(`Unknown logical texture type ${r}`)}function qL(r,t,e){return`${r[0]}_${r[1]}_${t}_${e}`}var tn=class{constructor(t,e){this.variableNames=[\"A\"],this.outputShape=t,this.enableShapeUniforms=we(this.outputShape.length),this.userCode=`\n float unaryOperation(float x) {\n ${e}\n }\n\n void main() {\n float x = getAAtOutCoords();\n float y = unaryOperation(x);\n\n setOutput(y);\n }\n `}},pr=\"if (isnan(x)) return x;\",KL=\"return x;\",nT=\"return abs(x);\";var jL=\"return (x >= 0.0) ? x : (exp(x) - 1.0);\",XL=pr+`\n return (x < 0.0) ? 0.0 : x;\n`,YL=pr+`\n return (x < 0.0) ? 0.0 : min(6.0, x);\n`,Gc=\"return x;\",ZL=\"return 1.0 / (1.0 + exp(-1.0 * x));\";var QL=\"return x;\",tM=`\n vec4 result;\n\n result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n return result;\n`,eM=`\n vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,rM=`\n vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,nM=\"return 1.0 / (1.0 + exp(-1.0 * x));\",no=class{constructor(t,e){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.enableShapeUniforms=we(this.outputShape.length),this.userCode=`\n vec4 unaryOperation(vec4 x) {\n ${e}\n }\n\n void main() {\n vec4 x = getAAtOutCoords();\n vec4 y = unaryOperation(x);\n\n setOutput(y);\n }\n `}};var Lw=class{constructor(t){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t,this.enableShapeUniforms=we(this.outputShape.length);let e=t.length,n=Qe(\"rc\",e),o=zt(e),s=WL(e,n),i=n.slice(-2),a=e<=1?\"rc\":`vec2(${i.join(\",\")})`;this.userCode=`\n void main() {\n ${o} rc = getOutputCoords();\n vec4 packedInput = getA(${s});\n\n setOutput(getChannel(packedInput, ${a}));\n }\n `}};var Wtt=Wr.whereImpl,Utt=1e-7,Htt=1e-4,Mw={};function qtt(r){return r in Mw||(Mw[r]={}),Mw[r]}var Ktt=M().getNumber(\"CPU_HANDOFF_SIZE_THRESHOLD\"),jtt=600;function Xtt(){return M().global.screen==null?1024:M().global.screen.height*M().global.screen.width*window.devicePixelRatio*jtt/1024/1024}var Eu=class extends Mo{constructor(t){if(super(),this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.lastGlFlushTime=0,this.warnedAboutMemory=!1,this.pendingDeletes=0,this.disposed=!1,!M().getBool(\"HAS_WEBGL\"))throw new Error(\"WebGL is not supported on this device\");let e;if(t!=null){if(t instanceof Bc)e=t;else{let n=Bn(M().getNumber(\"WEBGL_VERSION\"),t);e=new Bc(n)}this.binaryCache={},this.gpgpuCreatedLocally=!1}else{let n=Bn(M().getNumber(\"WEBGL_VERSION\"));e=new Bc(n),this.binaryCache=qtt(M().getNumber(\"WEBGL_VERSION\")),this.gpgpuCreatedLocally=!0}this.gpgpu=e,this.canvas=this.gpgpu.gl.canvas,this.textureManager=new Pw(this.gpgpu),this.numMBBeforeWarning=Xtt(),this.texData=new ta(this,ho())}nextDataId(){return Eu.nextDataId++}numDataIds(){return this.texData.numDataIds()-this.pendingDeletes}write(t,e,n){if((M().getBool(\"WEBGL_CHECK_NUMERICAL_PROBLEMS\")||M().getBool(\"DEBUG\"))&&this.checkNumericalProblems(t),n===\"complex64\"&&t!=null)throw new Error(\"Cannot write to a complex64 dtype. Please use tf.complex(real, imag).\");let o={id:this.nextDataId()};return this.texData.set(o,{shape:e,dtype:n,values:t,usage:Kr.UPLOAD,refCount:1}),o}refCount(t){return this.texData.has(t)?this.texData.get(t).refCount:0}incRef(t){let e=this.texData.get(t);e.refCount++}decRef(t){if(this.texData.has(t)){let e=this.texData.get(t);e.refCount--}}move(t,e,n,o,s){if(M().getBool(\"DEBUG\")&&this.checkNumericalProblems(e),o===\"complex64\")throw new Error(\"Cannot write to a complex64 dtype. Please use tf.complex(real, imag).\");this.texData.set(t,{shape:n,dtype:o,values:e,usage:Kr.UPLOAD,refCount:s})}disposeIntermediateTensorInfo(t){this.disposeData(t.dataId)}readSync(t){let e=this.texData.get(t),{values:n,dtype:o,complexTensorInfos:s,slice:i,shape:a,isPacked:u}=e;if(i!=null){let m;u?m=new no(a,Gc):m=new tn(a,Gc);let f=this.runWebGLProgram(m,[{dataId:t,shape:a,dtype:o}],o),d=this.readSync(f.dataId);return this.disposeIntermediateTensorInfo(f),d}if(n!=null)return this.convertAndCacheOnCPU(t);if(o===\"string\")return n;let l=this.activeTimers!=null,c;l&&(c=y.now());let p;if(o===\"complex64\"){let m=this.readSync(s.real.dataId),f=this.readSync(s.imag.dataId);p=S.mergeRealAndImagArrays(m,f)}else p=this.getValuesFromTexture(t);return l&&(this.downloadWaitMs+=y.now()-c),this.convertAndCacheOnCPU(t,p)}async read(t){if(this.pendingRead.has(t)){let d=this.pendingRead.get(t);return new Promise(h=>d.push(h))}let e=this.texData.get(t),{values:n,shape:o,slice:s,dtype:i,complexTensorInfos:a,isPacked:u}=e;if(s!=null){let d;u?d=new no(o,Gc):d=new tn(o,Gc);let h=this.runWebGLProgram(d,[{dataId:t,shape:o,dtype:i}],i),g=this.read(h.dataId);return this.disposeIntermediateTensorInfo(h),g}if(n!=null)return this.convertAndCacheOnCPU(t);if(M().getBool(\"DEBUG\")&&!M().getBool(\"WEBGL_DOWNLOAD_FLOAT_ENABLED\")&&M().getNumber(\"WEBGL_VERSION\")===2)throw new Error(\"tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.\");let l=null,c;if(i!==\"complex64\"&&M().get(\"WEBGL_BUFFER_SUPPORTED\")){c=this.decode(t);let d=this.texData.get(c.dataId);l=this.gpgpu.createBufferFromTexture(d.texture.texture,...Wh(o))}this.pendingRead.set(t,[]),i!==\"complex64\"&&await this.gpgpu.createAndWaitForFence();let p;if(i===\"complex64\"){let d=await Promise.all([this.read(a.real.dataId),this.read(a.imag.dataId)]),h=d[0],g=d[1];p=S.mergeRealAndImagArrays(h,g)}else if(l==null)p=this.getValuesFromTexture(t);else{let d=y.sizeFromShape(o);p=this.gpgpu.downloadFloat32MatrixFromBuffer(l,d)}if(c!=null&&this.disposeIntermediateTensorInfo(c),l!=null){let d=this.gpgpu.gl;yt(d,()=>d.deleteBuffer(l))}let m=this.convertAndCacheOnCPU(t,p),f=this.pendingRead.get(t);return this.pendingRead.delete(t),f.forEach(d=>d(m)),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t)&&ho().removeDataId(t,this),this.pendingDeletes--),m}readToGPU(t,e={}){let n=this.texData.get(t),{values:o,shape:s,slice:i,dtype:a,isPacked:u,texture:l}=n;if(a===\"complex64\")throw new Error(\"Does not support reading texture for complex64 dtype.\");if(i!=null){let f;u?f=new no(s,Gc):f=new tn(s,Gc);let d=this.runWebGLProgram(f,[{dataId:t,shape:s,dtype:a}],a),h=this.readToGPU(d,e);return this.disposeIntermediateTensorInfo(d),h}if(l==null)throw o!=null?new Error(\"Data is not on GPU but on CPU.\"):new Error(\"There is no data on GPU or CPU.\");let c=this.decode(t,e.customTexShape),p=ho().makeTensorFromTensorInfo(c),m=this.texData.get(c.dataId);return Object.assign({tensorRef:p},m.texture)}bufferSync(t){let e=this.readSync(t.dataId);if(t.dtype===\"string\")try{let n=e.map(o=>y.decodeString(o));return wt(t.shape,t.dtype,n)}catch(n){throw new Error(\"Failed to decode encoded string bytes into utf-8\")}return wt(t.shape,t.dtype,e)}checkNumericalProblems(t){if(t!=null)for(let e=0;e0}time(t){let e=this.activeTimers,n=[],o=!1;this.programTimersStack==null?(this.programTimersStack=n,o=!0):this.activeTimers.push(n),this.activeTimers=n,t();let s=y.flatten(this.activeTimers.map(u=>u.query)).filter(u=>u!=null),i=y.flatten(this.activeTimers.map(u=>u.name)).filter(u=>u!=null);this.activeTimers=e,o&&(this.programTimersStack=null);let a={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};return(async()=>{if(M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\")>0){let u=await Promise.all(s);a.kernelMs=y.sum(u),a.getExtraProfileInfo=()=>u.map((l,c)=>({name:i[c],ms:l})).map(l=>`${l.name}: ${l.ms}`).join(\", \")}else a.kernelMs={error:\"WebGL query timers are not supported in this environment.\"};return this.uploadWaitMs=0,this.downloadWaitMs=0,a})()}memory(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}startTimer(){return M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\")>0?this.gpgpu.beginQuery():{startMs:y.now(),endMs:null}}endTimer(t){return M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\")>0?(this.gpgpu.endQuery(),t):(t.endMs=y.now(),t)}async getQueryTime(t){if(M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\")>0)return this.gpgpu.waitForQueryAndGetTime(t);let e=t;return e.endMs-e.startMs}disposeData(t,e=!1){if(this.pendingDisposal.has(t))return!1;if(!this.texData.has(t))return!0;if(e?this.texData.get(t).refCount=0:this.texData.get(t).refCount--,!e&&this.texData.get(t).refCount>0)return!1;if(this.pendingRead.has(t))return this.pendingDisposal.add(t),this.pendingDeletes++,!1;this.releaseGPUData(t);let{complexTensorInfos:n}=this.texData.get(t);return n!=null&&(this.disposeData(n.real.dataId,e),this.disposeData(n.imag.dataId,e)),this.texData.delete(t),!0}releaseGPUData(t){let{texture:e,dtype:n,texShape:o,usage:s,isPacked:i,slice:a}=this.texData.get(t),u=a&&a.origDataId||t,l=this.dataRefCount.get(u);l>1?this.dataRefCount.set(u,l-1):(this.dataRefCount.delete(u),e!=null&&(this.numBytesInGPU-=this.computeBytes(o,n),this.textureManager.releaseTexture(e,o,s,i)));let c=this.texData.get(t);c.texture=null,c.texShape=null,c.isPacked=!1,c.slice=null}getTexture(t){return this.uploadToGPU(t),this.texData.get(t).texture.texture}getDataInfo(t){return this.texData.get(t)}shouldExecuteOnCPU(t,e=Ktt){return M().getBool(\"WEBGL_CPU_FORWARD\")&&t.every(n=>this.texData.get(n.dataId).texture==null&&y.sizeFromShape(n.shape)0&&y.isString(n[0])){let s=n.map(i=>y.encodeString(i));o=this.write(s,t,e)}else o=this.write(n,t,e);return this.texData.get(o).usage=null,{dataId:o,shape:t,dtype:e}}makeOutput(t,e,n){return ho().makeTensorFromTensorInfo(this.makeTensorInfo(t,e,n),this)}unpackTensor(t){let e=new Lw(t.shape);return this.runWebGLProgram(e,[t],t.dtype)}packTensor(t){let e=new Ow(t.shape),n=!0;return this.runWebGLProgram(e,[t],t.dtype,null,n)}packedReshape(t,e){let n=[hl(t.shape),...gl(t.shape)],o={dtype:t.dtype,shape:n,dataId:t.dataId},s=[hl(e),...gl(e)],i=new yd(s,n),a=!0,u=[n],l=this.runWebGLProgram(i,[o],t.dtype,u,a);return{dataId:l.dataId,shape:e,dtype:l.dtype}}decode(t,e){let n=this.texData.get(t),{isPacked:o,shape:s,dtype:i}=n;if(e!=null){let m=y.sizeFromShape(s),f=e[0]*e[1]*4;y.assert(m<=f,()=>\"customTexShape is too small. Row * Column * 4 should be equal or larger than the size of the tensor data.\")}let a=Kh(s),u;o?u=new Iw(a):u=new Cw(a);let l=!0,c=[e!=null?e:Wh(a)],p=this.runWebGLProgram(u,[{shape:a,dtype:i,dataId:t}],i,c,l,e);return{dtype:i,shape:s,dataId:p.dataId}}runWebGLProgram(t,e,n,o,s=!1,i){let a=this.makeTensorInfo(t.outputShape,n),u=this.texData.get(a.dataId);if(t.packedOutput&&(u.isPacked=!0),t.outPackingScheme===ku.DENSE){let x=i!=null?i:Wh(t.outputShape);u.texShape=x.map(b=>b*2)}if(t.outTexUsage!=null&&(u.usage=t.outTexUsage),y.sizeFromShape(a.shape)===0)return u.values=y.getTypedArrayFromDType(a.dtype,0),a;let l=[],c=e.map(x=>{if(x.dtype===\"complex64\")throw new Error(\"GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.\");let b=this.texData.get(x.dataId);if(b.texture==null){if(!t.packedInputs&&y.sizeFromShape(x.shape)<=M().getNumber(\"WEBGL_SIZE_UPLOAD_UNIFORM\"))return{shape:x.shape,texData:null,isUniform:!0,uniformValues:b.values};t.packedInputs&&(b.isPacked=!0,b.shape=x.shape)}if(this.uploadToGPU(x.dataId),!!b.isPacked!=!!t.packedInputs)x=b.isPacked?this.unpackTensor(x):this.packTensor(x),l.push(x),b=this.texData.get(x.dataId);else if(b.isPacked&&!Tu(b.shape,x.shape)){let w=x,C=x.shape;x.shape=b.shape,x=this.packedReshape(x,C),l.push(x),b=this.texData.get(x.dataId),w.shape=C}return{shape:x.shape,texData:b,isUniform:!1}});this.uploadToGPU(a.dataId);let p={shape:a.shape,texData:u,isUniform:!1},m=tL(t,c,p),f=this.getAndSaveBinary(m,()=>JP(this.gpgpu,t,c,p)),d=this.activeTimers!=null,h;d&&(h=this.startTimer()),M().get(\"ENGINE_COMPILE_ONLY\")||QP(this.gpgpu,f,c,p,o),l.forEach(x=>this.disposeIntermediateTensorInfo(x)),d&&(h=this.endTimer(h),this.activeTimers.push({name:t.constructor.name,query:this.getQueryTime(h)}));let g=M().get(\"WEBGL_FLUSH_THRESHOLD\");if(g>0){let x=y.now();x-this.lastGlFlushTime>g&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=x)}if(!M().getBool(\"WEBGL_LAZILY_UNPACK\")&&u.isPacked&&s===!1){let x=this.unpackTensor(a);return this.disposeIntermediateTensorInfo(a),x}return a}compileAndRun(t,e,n,o,s=!1){return n=n||e[0].dtype,this.runWebGLProgram(t,e,n,o,s)}getAndSaveBinary(t,e){return t in this.binaryCache||(this.binaryCache[t]=e()),this.binaryCache[t]}getTextureManager(){return this.textureManager}dispose(){this.disposed||(M().getBool(\"IS_TEST\")||Object.keys(this.binaryCache).forEach(e=>{this.gpgpu.deleteProgram(this.binaryCache[e].webGLProgram),delete this.binaryCache[e]}),this.textureManager.dispose(),this.canvas!=null&&typeof HTMLCanvasElement!=\"undefined\"&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0)}floatPrecision(){return this.floatPrecisionValue==null&&(this.floatPrecisionValue=B(()=>{if(!M().get(\"WEBGL_RENDER_FLOAT32_ENABLED\")){let t=M().getBool(\"DEBUG\");M().set(\"DEBUG\",!1);let e=this.abs(mt(1e-8)).dataSync()[0];if(M().set(\"DEBUG\",t),e>0)return 32}return 16})),this.floatPrecisionValue}epsilon(){return this.floatPrecision()===32?Utt:Htt}uploadToGPU(t){let e=this.texData.get(t),{shape:n,dtype:o,values:s,texture:i,usage:a,isPacked:u}=e;if(i!=null)return;let l=this.activeTimers!=null,c;l&&(c=y.now());let p=e.texShape;if(p==null&&(p=$k(n,u),e.texShape=p),s!=null){let m=Kh(n),f,d=p[1],h=p[0],g=s instanceof Uint8Array||s instanceof Uint8ClampedArray;(u||!g)&&([d,h]=Ki(p[0],p[1])),u?f=new kw(m,g):f=new Nw(m,g);let x=g?[h,d]:p,b=this.makeTensorInfo(x,o),w=this.texData.get(b.dataId);g?w.usage=Kr.PIXELS:w.usage=Kr.UPLOAD,w.texShape=x,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(b.dataId),d,h,s);let C=[[h,d]],N=!0,_=this.runWebGLProgram(f,[b],o,C,N),A=this.texData.get(_.dataId);e.texShape=A.texShape,e.isPacked=A.isPacked,e.usage=A.usage,M().get(\"ENGINE_COMPILE_ONLY\")?this.disposeData(_.dataId):(e.texture=A.texture,e.values=null,this.texData.delete(_.dataId)),this.disposeIntermediateTensorInfo(b),l&&(this.uploadWaitMs+=y.now()-c)}else{let m=this.acquireTexture(p,a,o,u);e.texture=m}}convertAndCacheOnCPU(t,e){let n=this.texData.get(t),{dtype:o}=n;return this.releaseGPUData(t),e!=null&&(n.values=Ytt(e,o)),n.values}acquireTexture(t,e,n,o){if(this.numBytesInGPU+=this.computeBytes(t,n),!this.warnedAboutMemory&&this.numBytesInGPU>this.numMBBeforeWarning*1024*1024){let s=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn(`High memory usage in GPU: ${s} MB, most likely due to a memory leak`)}return this.textureManager.acquireTexture(t,e,o)}computeBytes(t,e){return t[0]*t[1]*y.bytesPerElement(e)}checkCompileCompletion(){for(let[,t]of Object.entries(this.binaryCache))this.checkCompletion_(t)}async checkCompileCompletionAsync(){let t=[];if(this.gpgpu.parallelCompilationExtension){for(let[,e]of Object.entries(this.binaryCache))t.push(this.checkCompletionAsync_(e));return Promise.all(t)}else{for(let[,e]of Object.entries(this.binaryCache)){let n=new Promise(o=>{try{this.checkCompletion_(e),o(!0)}catch(s){throw s}});t.push(n)}return Promise.all(t)}}async checkCompletionAsync_(t){return this.gpgpu.gl.getProgramParameter(t.webGLProgram,this.gpgpu.parallelCompilationExtension.COMPLETION_STATUS_KHR)?this.checkCompletion_(t):(await ph(),this.checkCompletionAsync_(t))}checkCompletion_(t){if(this.gpgpu.gl.getProgramParameter(t.webGLProgram,this.gpgpu.gl.LINK_STATUS)===!1)throw console.log(this.gpgpu.gl.getProgramInfoLog(t.webGLProgram)),this.gpgpu.gl.getShaderParameter(t.fragmentShader,this.gpgpu.gl.COMPILE_STATUS)===!1?(hw(t.source,this.gpgpu.gl.getShaderInfoLog(t.fragmentShader)),new Error(\"Failed to compile fragment shader.\")):new Error(\"Failed to link vertex and fragment shaders.\");return!0}getUniformLocations(){for(let[,t]of Object.entries(this.binaryCache)){let{uniformLocations:e,customUniformLocations:n,infLoc:o,nanLoc:s,inShapesLocations:i,inTexShapesLocations:a,outShapeLocation:u,outShapeStridesLocation:l,outTexShapeLocation:c}=Mk(this.gpgpu,t.program,t.webGLProgram);t.uniformLocations=e,t.customUniformLocations=n,t.infLoc=o,t.nanLoc=s,t.inShapesLocations=i,t.inTexShapesLocations=a,t.outShapeLocation=u,t.outShapeStridesLocation=l,t.outTexShapeLocation=c}}};Eu.nextDataId=0;function Ytt(r,t){if(t===\"float32\"||t===\"complex64\")return r;if(t===\"int32\"||t===\"bool\"){let e=t===\"int32\"?new Int32Array(r.length):new Uint8Array(r.length);for(let n=0;nnew Eu,2);var oTe={forceHalfFloat:sM};var bd=`\n if (isnan(a)) return a;\n if (isnan(b)) return b;\n`;var oo=class{constructor(t,e,n){this.variableNames=[\"A\",\"B\"],this.outputShape=S.assertAndGetBroadcastShape(e,n),this.enableShapeUniforms=we(this.outputShape.length),this.userCode=`\n float binaryOperation(float a, float b) {\n ${t}\n }\n\n void main() {\n float a = getAAtOutCoords();\n float b = getBAtOutCoords();\n setOutput(binaryOperation(a, b));\n }\n `}};var ji=`\n result.r = isNaN.r ? NAN : result.r;\n result.g = isNaN.g ? NAN : result.g;\n result.b = isNaN.b ? NAN : result.b;\n result.a = isNaN.a ? NAN : result.a;\n`;var Fo=class{constructor(t,e,n,o=!1){this.variableNames=[\"A\",\"B\"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=S.assertAndGetBroadcastShape(e,n);let s=this.outputShape.length;this.enableShapeUniforms=we(s);let i=\"\";if(o)if(s===0||y.sizeFromShape(this.outputShape)===1)i=`\n result.y = 0.;\n result.z = 0.;\n result.w = 0.;\n `;else if(i=`\n ${zt(s)} coords = getOutputCoords();\n `,s===1)this.enableShapeUniforms?i+=`\n result.y = (coords + 1) >= outShape ? 0. : result.y;\n result.z = 0.;\n result.w = 0.;\n `:i+=`\n result.y = (coords + 1) >= ${this.outputShape[0]} ? 0. : result.y;\n result.z = 0.;\n result.w = 0.;\n `;else{let u=Qe(\"coords\",s);this.enableShapeUniforms?i+=`\n bool nextRowOutOfBounds =\n (${u[s-2]} + 1) >= outShape[${s} - 2];\n bool nextColOutOfBounds =\n (${u[s-1]} + 1) >= outShape[${s} - 1];\n result.y = nextColOutOfBounds ? 0. : result.y;\n result.z = nextRowOutOfBounds ? 0. : result.z;\n result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n `:i+=`\n bool nextRowOutOfBounds =\n (${u[s-2]} + 1) >= ${this.outputShape[s-2]};\n bool nextColOutOfBounds =\n (${u[s-1]} + 1) >= ${this.outputShape[s-1]};\n result.y = nextColOutOfBounds ? 0. : result.y;\n result.z = nextRowOutOfBounds ? 0. : result.z;\n result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n `}this.userCode=`\n vec4 binaryOperation(vec4 a, vec4 b) {\n ${t}\n }\n\n void main() {\n vec4 a = getAAtOutCoords();\n vec4 b = getBAtOutCoords();\n\n vec4 result = binaryOperation(a, b);\n ${i}\n\n setOutput(result);\n }\n `}};function tr(r){let{inputs:t,backend:e}=r,{x:n}=t;return e.incRef(n.dataId),{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}var iM={kernelName:lo,backendName:\"webgl\",kernelFunc:tr};function Tn(r){let{inputs:t,backend:e}=r,{real:n,imag:o}=t,s=e.makeTensorInfo(n.shape,\"complex64\"),i=e.texData.get(s.dataId),a=tr({inputs:{x:n},backend:e}),u=tr({inputs:{x:o},backend:e});return i.complexTensorInfos={real:a,imag:u},s}var aM={kernelName:pp,backendName:\"webgl\",kernelFunc:Tn};var oT=\"return (a < 0.) ? b * a : a;\",sT=`\n vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n`;function Ztt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{alpha:s}=n,i=e.makeTensorInfo([],\"float32\",y.createScalarValue(s,\"float32\")),a=M().getBool(\"WEBGL_PACK_BINARY_OPERATIONS\")?new Fo(sT,o.shape,i.shape):new oo(oT,o.shape,i.shape),u=e.runWebGLProgram(a,[o,i],\"float32\");return e.disposeIntermediateTensorInfo(i),u}var lM={kernelName:ss,backendName:\"webgl\",kernelFunc:Ztt};var iT=\"return (a < 0.) ? b * a : a;\",aT=`\n vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n`;function Jtt(r){let{inputs:t,backend:e}=r,{x:n,alpha:o}=t,s=M().getBool(\"WEBGL_PACK_BINARY_OPERATIONS\")?new Fo(aT,n.shape,o.shape):new oo(iT,n.shape,o.shape);return e.runWebGLProgram(s,[n,o],\"float32\")}var uM={kernelName:ys,backendName:\"webgl\",kernelFunc:Jtt};var Oo=\"if (isnan(x)) return x;\";function Ct({opSnippet:r,packedOpSnippet:t,cpuKernelImpl:e,dtype:n}){return({inputs:o,backend:s})=>{let{x:i}=o,a=s,u=n||i.dtype;if(a.shouldExecuteOnCPU([i])&&e!=null){let p=a.texData.get(i.dataId),m=e(p.values,u);return a.makeTensorInfo(i.shape,u,m)}let l=M().getBool(\"WEBGL_PACK_UNARY_OPERATIONS\")&&t!=null,c;return l?c=new no(i.shape,t):c=new tn(i.shape,r),a.runWebGLProgram(c,[i],u)}}function le({opSnippet:r,packedOpSnippet:t,checkOutOfBounds:e=!1,supportsComplex:n=!1,cpuKernelImpl:o,dtype:s}){return({inputs:i,backend:a})=>{let{a:u,b:l}=i,c=a;if(n&&u.dtype===\"complex64\"){let d=c.texData.get(u.dataId),h=c.texData.get(l.dataId),[g,x]=[[d.complexTensorInfos.real,h.complexTensorInfos.real],[d.complexTensorInfos.imag,h.complexTensorInfos.imag]].map(w=>{let[C,N]=w,_={dataId:C.dataId,dtype:C.dtype,shape:u.shape},A={dataId:N.dataId,dtype:N.dtype,shape:l.shape},$=new oo(r,u.shape,l.shape);return c.runWebGLProgram($,[_,A],or(C.dtype,N.dtype))}),b=Tn({inputs:{real:g,imag:x},backend:c});return c.disposeIntermediateTensorInfo(g),c.disposeIntermediateTensorInfo(x),b}let p=s||or(u.dtype,l.dtype);if((u.dtype===\"string\"||l.dtype===\"string\"||c.shouldExecuteOnCPU([u,l]))&&o!=null){let d=c.texData.get(u.dataId).values,h=c.texData.get(l.dataId).values,g=u.dtype===\"string\"?S.fromUint8ToStringArray(d):d,x=u.dtype===\"string\"?S.fromUint8ToStringArray(h):h,[b,w]=o(u.shape,l.shape,g,x,p),C=c.makeTensorInfo(w,p),N=c.texData.get(C.dataId);return N.values=b,C}let m=M().getBool(\"WEBGL_PACK_BINARY_OPERATIONS\")&&t!=null,f;return m?f=new Fo(t,u.shape,l.shape,e):f=new oo(r,u.shape,l.shape),c.runWebGLProgram(f,[u,l],p)}}function xl(r,t=!1){if(r===\"linear\")return t?QL:KL;if(r===\"relu\")return t?eM:XL;if(r===\"elu\")return t?tM:jL;if(r===\"relu6\")return t?rM:YL;if(r===\"prelu\")return t?aT:iT;if(r===\"leakyrelu\")return t?sT:oT;if(r===\"sigmoid\")return t?nM:ZL;throw new Error(`Activation ${r} has not been implemented for the WebGL backend.`)}var wd=class{constructor(t,e,n,o=!1,s=!1,i=!1,a=null,u=!1,l=!1){this.variableNames=[\"matrixA\",\"matrixB\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n,this.enableShapeUniforms=we(this.outputShape.length);let c=o?t[1]:t[2],p=Math.ceil(c/2),m=o?\"i * 2, rc.y\":\"rc.y, i * 2\",f=s?\"rc.z, i * 2\":\"i * 2, rc.z\",d=o?[\"a.xxyy\",\"a.zzww\"]:[\"a.xxzz\",\"a.yyww\"],h=s?[\"b.xzxz\",\"b.ywyw\"]:[\"b.xyxy\",\"b.zwzw\"],g=\"\",x=\"\";a&&(u?g=`vec4 activation(vec4 a) {\n vec4 b = getPreluActivationWeightsAtOutCoords();\n ${a}\n }`:l?g=`vec4 activation(vec4 a) {\n vec4 b = getLeakyreluAlphaAtOutCoords();\n ${a}\n }`:g=`vec4 activation(vec4 x) {\n ${a}\n }`,x=\"result = activation(result);\");let b=i?\"result += getBiasAtOutCoords();\":\"\";i&&this.variableNames.push(\"bias\"),u&&this.variableNames.push(\"preluActivationWeights\"),l&&this.variableNames.push(\"leakyreluAlpha\");let w=\"rc.x\",C=\"rc.x\";t[0]`The new shape (${u}) has ${l} elements and the old shape (${o.shape}) has ${a} elements. The new shape and old shape must have the same number of elements.`);let c=i.texData.get(o.dataId);return c.isPacked&&!Tu(o.shape,u)&&!(c.texture!==null&&Tu(c.shape,u))?mM(o,u,i):(i.incRef(o.dataId),{dataId:o.dataId,shape:u,dtype:o.dtype})}var fM={kernelName:mi,backendName:\"webgl\",kernelFunc:st};var Zh=class{constructor(t,e){this.variableNames=[\"x\"];let{windowSize:n,batchSize:o,inSize:s,outSize:i}=t;this.outputShape=[o,i];let a=Math.floor(n/4)*4,u=n%4,l=\"sumValue += dot(values, ones);\";if(e!=null){let p=1/e;l=`sumValue += dot(values * ${y.isInt(p)?p.toPrecision(2):p}, ones);`}let c=\"\";s%n>0&&(c=`\n if (inIdx < 0 || inIdx >= ${s}) {\n return 0.0;\n }\n `),this.userCode=`\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float getValue(int batch, int inIdx) {\n ${c}\n return getX(batch, inIdx);\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * ${n};\n\n float sumValue = 0.0;\n\n for (int i = 0; i < ${a}; i += 4) {\n int inIdx = inOffset + i;\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n getValue(batch, inIdx + 3)\n );\n\n ${l}\n }\n\n int inIdx = inOffset + ${a};\n if (${u===1}) {\n vec4 values = vec4(getValue(batch, inIdx), 0.0, 0.0, 0.0);\n\n ${l}\n } else if (${u===2}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1), 0.0, 0.0);\n\n ${l}\n } else if (${u===3}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2), 0.0);\n\n ${l}\n }\n setOutput(sumValue);\n }\n `}};var zw=class{constructor(t,e){this.variableNames=[\"x\"];let{windowSize:n,batchSize:o,inSize:s,outSize:i}=t;this.outputShape=[o,i];let a=\"0.0\",u=\"\";e===\"prod\"?a=\"1.0\":e===\"min\"?(a=\"1.0 / 1e-20\",u=\"min\"):e===\"max\"&&(a=\"-1.0 / 1e-20\",u=\"max\");let l=`${e}(${e}(${e}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;e===\"sum\"?l=\"sumValue\":e===\"prod\"?l=\"prodValue\":e===\"all\"?l=\"allValue\":e===\"any\"&&(l=\"anyValue\");let c=Math.floor(n/4)*4,p=n%4,m=`\n if (${e===\"sum\"}) {\n sumValue += dot(values, ones);\n } else if (${e===\"prod\"}) {\n vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n prodValue *= tmp[0] * tmp[1];\n } else {\n minMaxValue = ${u}(values, minMaxValue);\n if (${e===\"min\"} || ${e===\"max\"}) {\n minMaxValue = ${u}(values, minMaxValue);\n bvec4 isNaN = isnan(values);\n if (isNaN.r || isNaN.g || isNaN.b || isNaN.a) {\n minMaxValue = vec4(NAN);\n }\n }\n }\n `,f=\"vec4\";e===\"all\"?(a=\"1.0\",m=`\n bool reducedAllValue = all(values);\n float floatedReducedAllValue = float(reducedAllValue);\n allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n `,f=\"bvec4\"):e===\"any\"&&(a=\"0.0\",m=`\n bool reducedAnyValue = any(values);\n float floatedReducedAnyValue = float(reducedAnyValue);\n anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n `,f=\"bvec4\");let d=\"\";s%n>0&&(d=`\n if (inIdx < 0 || inIdx >= ${s}) {\n return initializationValue;\n }\n `),this.userCode=`\n const float initializationValue = ${a};\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float getValue(int batch, int inIdx) {\n ${d}\n return getX(batch, inIdx);\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * ${n};\n\n vec4 minMaxValue = vec4(${a});\n float prodValue = 1.0;\n float sumValue = 0.0;\n float allValue = 1.0;\n float anyValue = 0.0;\n\n for (int i = 0; i < ${c}; i += 4) {\n int inIdx = inOffset + i;\n ${f} values = ${f}(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n getValue(batch, inIdx + 3)\n );\n\n ${m}\n }\n\n int inIdx = inOffset + ${c};\n if (${p===1}) {\n ${f} values = ${f}(\n getValue(batch, inIdx),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ${m}\n } else if (${p===2}) {\n ${f} values = ${f}(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n initializationValue,\n initializationValue\n );\n\n ${m}\n } else if (${p===3}) {\n ${f} values = ${f}(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n initializationValue\n );\n\n ${m}\n }\n setOutput(${l});\n }\n `}};function tet(r){let t=[];for(;t.length===0||t[t.length-1].outSize!==1;){let e=t.length?t[t.length-1].outSize:r[1],n=S.computeOptimalWindowSize(e);t.push({inSize:e,windowSize:n,outSize:Math.ceil(e/n)})}return t}function Gn(r,t,e,n){let o=tet(r.shape),s=r;for(let i=0;i6)throw Error(`Transpose for rank ${t} is not yet supported`);let e=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\",\"resRC.u\",\"resRC.v\"],n=new Array(t);for(let o=0;o6)throw Error(`Packed transpose for rank ${this.rank} is not yet supported.`);let o=zt(this.rank),s=rT(\"rc\",this.rank),i=new Array(this.rank);for(let c=0;c`Error in matMul: inner shapes (${p}) and (${m}) of Tensors with shapes ${r.shape} and ${t.shape} and transposeA=${e} and transposeB=${n} must match.`);let N=e?[x,p,f]:[x,f,p],_=n?[b,d,m]:[b,m,d],A=st({inputs:{x:r},backend:o,attrs:{shape:N}}),$=st({inputs:{x:t},backend:o,attrs:{shape:_}}),F=[A,$],P=Math.max(x,b),V=e?A.shape[1]:A.shape[2],G=s!=null,W=i!=null,q=u===\"leakyrelu\",H=u!=null?xl(u,!0):null,j=G||W||q||H!=null,Y;if((f===1||d===1)&&V>uT&&j===!1){let et=A,rt=$;e&&(et=Fe({inputs:{x:A},backend:o,attrs:{perm:[0,2,1]}}),F.push(et)),n&&(rt=Fe({inputs:{x:$},backend:o,attrs:{perm:[0,2,1]}}),F.push(rt));let ot=d!==1,at=d===1,nt=et;ot&&(nt=st({inputs:{x:et},backend:o,attrs:{shape:[P,V,1]}}),F.push(nt));let it=d===1?2:1,dt=rt;at&&(dt=st({inputs:{x:rt},backend:o,attrs:{shape:[P,1,V]}}),F.push(dt));let ht=Yh({inputs:{a:nt,b:dt},backend:o});Y=Wc({inputs:{x:ht},backend:o,attrs:{axis:it,keepDims:!0}}),F.push(ht)}else{let et=or(r.dtype,t.dtype),rt=new wd(N,_,[P,f,d],e,n,G,H,W,q),ot=[A,$];if(s!=null&&ot.push(s),W&&ot.push(i),q){let at=o.makeTensorInfo([],\"float32\",y.createScalarValue(a,\"float32\"));ot.push(at),F.push(at)}Y=o.runWebGLProgram(rt,ot,et)}let Z=st({inputs:{x:Y},backend:o,attrs:{shape:C}});F.push(Y);for(let et of F)o.disposeIntermediateTensorInfo(et);return Z}function ret(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s,bias:i,preluActivationWeights:a}=t,{transposeA:u,transposeB:l,activation:c,leakyreluAlpha:p}=n;return Uc({a:o,b:s,transposeA:u,transposeB:l,backend:e,bias:i,preluActivationWeights:a,leakyreluAlpha:p,activation:c})}var xM={kernelName:bi,backendName:\"webgl\",kernelFunc:ret};var yM=\"return abs(x);\";function net(r){let{inputs:t,backend:e}=r,{x:n}=t;if(e.shouldExecuteOnCPU([n])&&n.dtype!==\"complex64\"){let s=e.texData.get(n.dataId),i=Rw(s.values);return e.makeTensorInfo(n.shape,n.dtype,i)}let o;return M().getBool(\"WEBGL_PACK_UNARY_OPERATIONS\")?o=new no(n.shape,yM):o=new tn(n.shape,yM),e.runWebGLProgram(o,[n],n.dtype)}var bM={kernelName:oi,backendName:\"webgl\",kernelFunc:net};var oet=pr+`\n if (abs(x) > 1.) {\n return NAN;\n }\n return acos(x);\n`,set=Ct({opSnippet:oet}),wM={kernelName:ra,backendName:\"webgl\",kernelFunc:set};var iet=pr+`\n if (x < 1.0) return NAN;\nreturn log(x + sqrt(x * x - 1.0));`,aet=Ct({opSnippet:iet}),CM={kernelName:na,backendName:\"webgl\",kernelFunc:aet};var IM=\"return a + b;\",uet=le({opSnippet:IM,packedOpSnippet:IM,supportsComplex:!0,cpuKernelImpl:eL}),vM={kernelName:Yn,backendName:\"webgl\",kernelFunc:uet};var Gw=class{constructor(t,e){this.outputShape=[],this.outputShape=t,this.variableNames=e.map((s,i)=>`T${i}`);let n=[];this.variableNames.forEach(s=>{n.push(`float v${s} = get${s}AtOutCoords();`)});let o=this.variableNames.map(s=>`v${s}`).join(\" + \");this.userCode=`\n void main() {\n ${n.join(`\n `)}\n\n float result = ${o};\n setOutput(result);\n }\n `}};var Ww=class{constructor(t,e){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.variableNames=e.map((s,i)=>`T${i}`);let n=[];this.variableNames.forEach(s=>{n.push(`vec4 v${s} = get${s}AtOutCoords();`)});let o=this.variableNames.map(s=>`v${s}`).join(\" + \");this.userCode=`\n void main() {\n ${n.join(`\n `)}\n\n vec4 result = ${o};\n setOutput(result);\n }\n `}};function Uw(r){let{inputs:t,backend:e}=r,n=t;if(n.length===1)return tr({inputs:{x:n[0]},backend:e});if(n.length>M().get(\"WEBGL_MAX_TEXTURES_IN_SHADER\")){let u=Math.floor(n.length/2),l=Uw({inputs:n.slice(0,u),backend:e}),c=Uw({inputs:n.slice(u),backend:e});return Uw({inputs:[l,c],backend:e})}let o=n.map(u=>u.dtype).reduce((u,l)=>or(u,l)),s=n.map(u=>u.shape),a=M().getBool(\"WEBGL_PACK\")?new Ww(n[0].shape,s):new Gw(n[0].shape,s);return e.runWebGLProgram(a,n,o)}var SM={kernelName:Vo,backendName:\"webgl\",kernelFunc:Uw};function cet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=y.parseAxisParam(s,o.shape),l=u,c=S.getAxesPermutation(l,a),p=o;c!=null&&(p=Fe({inputs:{x:o},backend:e,attrs:{perm:c}}),l=S.getInnerMostAxes(l.length,a)),S.assertAxesAreInnerMostDims(\"all\",l,a);let[m,f]=S.computeOutAndReduceShapes(p.shape,l),d=y.sizeFromShape(f),h=st({inputs:{x:p},backend:e,attrs:{shape:[-1,d]}}),g=Gn(h,h.dtype,\"all\",e),x;if(i){let b=S.expandShapeToKeepDim(m,u);x=st({inputs:{x:g},backend:e,attrs:{shape:b}})}else x=st({inputs:{x:g},backend:e,attrs:{shape:m}});return e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(g),c!=null&&e.disposeIntermediateTensorInfo(p),x}var NM={kernelName:oa,backendName:\"webgl\",kernelFunc:cet};function pet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=y.parseAxisParam(s,o.shape),l=u,c=S.getAxesPermutation(l,a),p=o;c!=null&&(p=Fe({inputs:{x:o},backend:e,attrs:{perm:c}}),l=S.getInnerMostAxes(l.length,a)),S.assertAxesAreInnerMostDims(\"any\",l,a);let[m,f]=S.computeOutAndReduceShapes(p.shape,l),d=y.sizeFromShape(f),h=st({inputs:{x:p},backend:e,attrs:{shape:[-1,d]}}),g=Gn(h,h.dtype,\"any\",e),x;if(i){let b=S.expandShapeToKeepDim(m,u);x=st({inputs:{x:g},backend:e,attrs:{shape:b}})}else x=st({inputs:{x:g},backend:e,attrs:{shape:m}});return e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(g),c!=null&&e.disposeIntermediateTensorInfo(p),x}var kM={kernelName:sa,backendName:\"webgl\",kernelFunc:pet};var Hw=class{constructor(t,e,n){this.variableNames=[\"A\"];let{windowSize:o,batchSize:s,outSize:i}=t;n||this.variableNames.push(\"bestIndicesA\"),this.outputShape=[s,i];let a=e===\"max\"?\">\":\"<\",u=n?\"inOffset + i;\":\"round(getBestIndicesA(batch, inOffset + i));\";this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * ${o};\n\n int bestIndex = inOffset;\n float bestValue = getA(batch, bestIndex);\n\n for (int i = 0; i < ${o}; i++) {\n int inIdx = ${u};\n float candidate = getA(batch, inIdx);\n if (candidate ${a} bestValue) {\n bestValue = candidate;\n bestIndex = inIdx;\n }\n }\n setOutput(float(bestIndex));\n }\n `}};var qw=class{constructor(t,e,n,o){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,y.assert(t.length>2,()=>`Packed arg${n.charAt(0).toUpperCase()+n.slice(1)} supports only inputs with rank above 2.`);let s=t[t.length-1],i=Math.ceil(s/e);this.outputShape=t.slice(0,-1),i>1&&this.outputShape.push(i),o||this.variableNames.push(\"bestIndicesA\");let a=this.outputShape,u=a.length,l=zt(u),c=Qe(\"coords\",u),p,m;if(i===1){m=u+1;let $=zt(m);p=`\n ${$} sourceLocR = ${$}(${c.join()}, 0);\n ++${c[u-1]};\n ${$} sourceLocG = ${$}(${c.join()}, 0);\n ++${c[u-2]};\n ${$} sourceLocA = ${$}(${c.join()}, 0);\n --${c[u-1]};\n ${$} sourceLocB = ${$}(${c.join()}, 0);\n --${c[u-2]};`}else m=u,p=`\n ${l} sourceLocR = coords;\n ++${c[u-1]};\n ${l} sourceLocG = coords;\n ++${c[u-2]};\n ${l} sourceLocA = coords;\n --${c[u-1]};\n ${l} sourceLocB = coords;\n --${c[u-2]};`;let f=[\"x\",\"y\",\"z\",\"w\",\"u\",\"v\"].slice(0,m),d=\".\"+f[m-1],h=f.map($=>\"int \"+$),g=Qe(\"sourceLocR\",m-1).concat(\"inIdx.r\"),x=Qe(\"sourceLocG\",m-1).concat(\"inIdx.g\"),b=Qe(\"sourceLocB\",m-1).concat(\"inIdx.b\"),w=Qe(\"sourceLocA\",m-1).concat(\"inIdx.a\"),C=n===\"max\"?\"greaterThan\":\"lessThan\",N=o?\"\":`\n inIdx = round(vec4(getBestIndicesAChannel(${g.join()}),\n getBestIndicesAChannel(${x.join()}),\n getBestIndicesAChannel(${b.join()}),\n getBestIndicesAChannel(${w.join()})));`,_=`vec4(\n getAChannel(${g.join()}),\n hasNextCol ? getAChannel(${x.join()}) : 0.,\n hasNextRow ? getAChannel(${b.join()}) : 0.,\n hasNextRow && hasNextCol ? getAChannel(${w.join()}) : 0.)`,A=o?\"\":`\n float getBestIndicesAChannel(${h.join()}) {\n return getChannel(getBestIndicesA(${f.join()}),\n vec2(${f.slice(-2).join()}));\n }`;this.userCode=`\n float getAChannel(${h.join()}) {\n return getChannel(getA(${f.join()}),\n vec2(${f.slice(-2).join()}));\n }\n ${A}\n void main() {\n ${l} coords = getOutputCoords();\n bool hasNextCol = ${c[u-1]} < ${a[u-1]-1};\n bool hasNextRow = ${c[u-2]} < ${a[u-2]-1};\n ${p}\n ivec4 srcIdx = ivec4(sourceLocR${d}, sourceLocG${d},\n sourceLocB${d}, sourceLocA${d}) * ${e};\n ivec4 inIdx = srcIdx;\n vec4 bestIndex = vec4(inIdx);\n vec4 bestValue = ${_};\n\n for (int i = 0; i < ${e}; i++) {\n inIdx = srcIdx;\n ${N}\n vec4 candidate = ${_};\n bvec4 nan = isnan(candidate);\n bvec4 replace = bvec4(\n vec4(${C}(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n bestValue = vec4(replace.x ? candidate.x : bestValue.x,\n replace.y ? candidate.y : bestValue.y,\n replace.z ? candidate.z : bestValue.z,\n replace.w ? candidate.w : bestValue.w);\n bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n srcIdx++;\n }\n setOutput(bestIndex);\n }\n `}};function TM(r,t,e,n=null){let o=t.shape[0],s=t.shape[1];n!=null&&(o=n.shape[0],s=n.shape[1]);let i=S.computeOptimalWindowSize(s),a={windowSize:i,inSize:s,batchSize:o,outSize:Math.ceil(s/i)},u=new Hw(a,e,n==null),l=[t];n!=null&&l.push(n);let c=r.runWebGLProgram(u,l,\"int32\");if(c.shape[1]===1)return c;let p=TM(r,t,e,c);return r.disposeIntermediateTensorInfo(c),p}function EM(r,t,e,n=null){let o=n!=null?n.shape:t.shape,s=o[o.length-1],i=S.computeOptimalWindowSize(s),a=new qw(o,i,e,n==null),u=n==null?[t]:[t,n],l=r.runWebGLProgram(a,u,\"int32\");if(l.shape.length===t.shape.length){let c=EM(r,t,e,l);return r.disposeIntermediateTensorInfo(l),c}return l}function Kw(r,t,e,n){let o=[e];if(S.assertAxesAreInnerMostDims(\"arg\"+n.charAt(0).toUpperCase()+n.slice(1),o,t.shape.length),!M().getBool(\"WEBGL_PACK_REDUCE\")||t.shape.length<=2){let s=[],i=r.texData.get(t.dataId),a=i!==null&&i.isPacked,u=t;a&&(u=r.unpackTensor(t),s.push(u));let[l,c]=S.computeOutAndReduceShapes(u.shape,o),p=y.sizeFromShape(c),m=st({inputs:{x:u},backend:r,attrs:{shape:[-1,p]}});s.push(m);let f=TM(r,m,n);s.push(f);let d=st({inputs:{x:f},backend:r,attrs:{shape:l}});return s.forEach(h=>r.disposeIntermediateTensorInfo(h)),d}return EM(r,t,n)}function met(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s}=n,i=y.parseAxisParam(s,o.shape),a=S.getAxesPermutation(i,o.shape.length),u=o,l=[];a!=null&&(u=Fe({inputs:{x:o},backend:e,attrs:{perm:a}}),l.push(u),i=S.getInnerMostAxes(i.length,u.shape.length)),S.assertAxesAreInnerMostDims(\"argMax\",[i[0]],u.shape.length);let c=Kw(e,u,i[0],\"max\");return l.forEach(p=>e.disposeIntermediateTensorInfo(p)),c}var _M={kernelName:Go,backendName:\"webgl\",kernelFunc:met};function fet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s}=n,i=y.parseAxisParam(s,o.shape),a=S.getAxesPermutation(i,o.shape.length),u=o,l=[];a!=null&&(u=Fe({inputs:{x:o},backend:e,attrs:{perm:a}}),l.push(u),i=S.getInnerMostAxes(i.length,u.shape.length)),S.assertAxesAreInnerMostDims(\"argMin\",[i[0]],u.shape.length);let c=Kw(e,u,i[0],\"min\");return l.forEach(p=>e.disposeIntermediateTensorInfo(p)),c}var AM={kernelName:Nl,backendName:\"webgl\",kernelFunc:fet};var det=pr+`\n if (abs(x) > 1.) {\n return NAN;\n }\n return asin(x);\n`,het=Ct({opSnippet:det}),$M={kernelName:ia,backendName:\"webgl\",kernelFunc:het};var get=pr+\"return log(x + sqrt(x * x + 1.0));\",xet=Ct({opSnippet:get}),DM={kernelName:aa,backendName:\"webgl\",kernelFunc:xet};var yet=pr+`\n return atan(x);\n`,bet=Ct({opSnippet:yet}),RM={kernelName:la,backendName:\"webgl\",kernelFunc:bet};var wet=bd+`\n return atan(a, b);\n`,Cet=`\n vec4 result = atan(a, b);\n bvec4 isNaNA = isnan(a);\n bvec4 isNaNB = isnan(b);\n bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w);\n `+ji+`\n return result;\n`,Iet=le({opSnippet:wet,packedOpSnippet:Cet}),FM={kernelName:ca,backendName:\"webgl\",kernelFunc:Iet};var vet=pr+`\n if ((x < -1.0) || (x > 1.0)) return NAN;\nreturn (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelName:ua,backendName:\"webgl\",kernelFunc:Net};var Qs=class{constructor(t,e,n,o=!1,s=!1){if(this.variableNames=[\"x\"],e===\"avg\"&&n)throw new Error(\"Cannot compute positions for average pool.\");let i=t.filterWidth,a=t.strideHeight,u=t.strideWidth,l=t.dilationHeight,c=t.dilationWidth,p=t.effectiveFilterHeight,m=t.effectiveFilterWidth,f=t.padInfo.top,d=t.padInfo.left;this.outputShape=t.outShape;let h=e===\"avg\",g=`((batch * ${t.inHeight} + xR) * ${t.inWidth} + xC) * ${t.inChannels} + d`,x=`(xR * ${t.inWidth} + xC) * ${t.inChannels} + d`,b=\"0.0\";if(h||(b=\"-1.0 / 1e-20\"),n){let $=\">=\";this.userCode=`\n const ivec2 strides = ivec2(${a}, ${u});\n const ivec2 pads = ivec2(${f}, ${d});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d = coords[3];\n\n ivec2 xRCCorner = coords.yz * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // max/min x(?, ?, d) to get y(yR, yC, d).\n // ? = to be determined\n float minMaxValue = 0.0;\n float minMaxValueFound = 0.0;\n int minMaxPosition = 0;\n float avgValue = 0.0;\n\n for (int wR = 0; wR < ${p};\n wR += ${l}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${m};\n wC += ${c}) {\n int xC = xCCorner + wC;\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n float value = getX(batch, xR, xC, d);\n\n // If a min / max value has already been found, use it. If not,\n // use the current value.\n float currMinMaxValue = mix(\n value, minMaxValue, minMaxValueFound);\n if (value ${$} currMinMaxValue) {\n minMaxValue = value;\n minMaxValueFound = 1.0;\n minMaxPosition = ${o?s?g:x:`wR * ${m} + wC`};\n }\n }\n }\n setOutput(float(minMaxPosition));\n }\n `;return}let w=\"max\",C=`${e}(${e}(${e}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;e===\"avg\"&&(C=\"avgValue / count\");let N=Math.floor(i/4)*4,_=i%4,A=`\n if (${h}) {\n avgValue += dot(values, ones);\n } else {\n minMaxValue = ${w}(values, minMaxValue);\n }\n `;this.userCode=`\n const ivec2 strides = ivec2(${a}, ${u});\n const ivec2 pads = ivec2(${f}, ${d});\n const float initializationValue = ${b};\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float count = 0.0;\n\n float getValue(int batch, int xR, int xC, int d) {\n if (xC < 0 || xC >= ${t.inWidth}) {\n return initializationValue;\n }\n count += 1.0;\n return getX(batch, xR, xC, d);\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d = coords[3];\n\n ivec2 xRCCorner = coords.yz * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // max/min x(?, ?, d) to get y(yR, yC, d).\n // ? = to be determined\n vec4 minMaxValue = vec4(${b});\n float avgValue = 0.0;\n count = 0.0;\n\n for (int wR = 0; wR < ${p};\n wR += ${l}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${N}; wC += 4) {\n int xC = xCCorner + wC * ${c};\n\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ${c}, d),\n getValue(batch, xR, xC + 2 * ${c}, d),\n getValue(batch, xR, xC + 3 * ${c}, d)\n );\n\n ${A}\n }\n\n int xC = xCCorner + ${N};\n if (${_===1}) {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ${A}\n } else if (${_===2}) {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ${c}, d),\n initializationValue,\n initializationValue\n );\n\n ${A}\n } else if (${_===3}) {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ${c}, d),\n getValue(batch, xR, xC + 2 * ${c}, d),\n initializationValue\n );\n\n ${A}\n }\n }\n setOutput(${C});\n }\n `}},Au=class{constructor(t,e,n,o=!1,s=!1){if(this.variableNames=[\"x\"],e===\"avg\"&&n)throw new Error(\"Cannot compute positions for average pool.\");let i=t.filterWidth,a=t.strideDepth,u=t.strideHeight,l=t.strideWidth,c=t.dilationDepth,p=t.dilationHeight,m=t.dilationWidth,f=t.effectiveFilterDepth,d=t.effectiveFilterHeight,h=t.effectiveFilterWidth,g=t.padInfo.front,x=t.padInfo.top,b=t.padInfo.left;this.outputShape=t.outShape;let w=e===\"avg\",C=\"0.0\";if(w||(C=\"-1.0 / 1e-20\"),n){let P=\">=\";this.userCode=`\n const ivec3 strides =\n ivec3(${a}, ${u}, ${l});\n const ivec3 pads = ivec3(${g}, ${x}, ${b});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xDCorner = xCorner.x;\n int xRCorner = xCorner.y;\n int xCCorner = xCorner.z;\n\n // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n // ? = to be determined\n float minMaxValue = 0.0;\n float minMaxValueFound = 0.0;\n int minMaxPosition = 0;\n\n for (int wD = 0; wD < ${f};\n wD += ${c}) {\n int xD = xDCorner + wD;\n\n if (xD < 0 || xD >= ${t.inDepth}) {\n continue;\n }\n\n for (int wR = 0; wR < ${d};\n wR += ${p}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${h};\n wC += ${m}) {\n int xC = xCCorner + wC;\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n float value = getX(batch, xD, xR, xC, ch);\n\n // If a min / max value has already been found, use it. If not,\n // use the current value.\n float currMinMaxValue = mix(\n value, minMaxValue, minMaxValueFound);\n if (value ${P} currMinMaxValue) {\n minMaxValue = value;\n minMaxValueFound = 1.0;\n minMaxPosition = ${o?s?`(((batch * ${t.inDepth} + xD) * ${t.inHeight} + xR) * ${t.inWidth} + xC) * ${t.inChannels} + ch`:`((xD * ${t.inHeight} + xR) * ${t.inWidth} + xC) * ${t.inChannels} + ch`:`wD * ${d} * ${h} +\n wR * ${h} + wC`};\n }\n }\n }\n }\n setOutput(float(minMaxPosition));\n }\n `;return}let N=\"max\",_=`${e}(${e}(${e}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;e===\"avg\"&&(_=\"avgValue / count\");let A=Math.floor(i/4)*4,$=i%4,F=`\n if (${w}) {\n avgValue += dot(values, ones);\n } else {\n minMaxValue = ${N}(values, minMaxValue);\n }\n `;this.userCode=`\n const ivec3 strides =\n ivec3(${a}, ${u}, ${l});\n const ivec3 pads = ivec3(${g}, ${x}, ${b});\n const float initializationValue = ${C};\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float count = 0.0;\n\n float getValue(int batch, int xD, int xR, int xC, int ch) {\n if (xC < 0 || xC >= ${t.inWidth}) {\n return initializationValue;\n }\n count += 1.0;\n return getX(batch, xD, xR, xC, ch);\n }\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xDCorner = xCorner.x;\n int xRCorner = xCorner.y;\n int xCCorner = xCorner.z;\n\n // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n // ? = to be determined\n vec4 minMaxValue = vec4(${C});\n float avgValue = 0.0;\n count = 0.0;\n\n for (int wD = 0; wD < ${f};\n wD += ${c}) {\n int xD = xDCorner + wD;\n\n if (xD < 0 || xD >= ${t.inDepth}) {\n continue;\n }\n\n for (int wR = 0; wR < ${d};\n wR += ${p}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${A}; wC += 4) {\n int xC = xCCorner + wC * ${m};\n\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ${m}, ch),\n getValue(batch, xD, xR, xC + 2 * ${m}, ch),\n getValue(batch, xD, xR, xC + 3 * ${m}, ch)\n );\n\n ${F}\n }\n\n int xC = xCCorner + ${A};\n if (${$===1}) {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ${F}\n } else if (${$===2}) {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ${m}, ch),\n initializationValue,\n initializationValue\n );\n\n ${F}\n } else if (${$===3}) {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ${m}, ch),\n getValue(batch, xD, xR, xC + 2 * ${m}, ch),\n initializationValue\n );\n\n ${F}\n }\n }\n setOutput(${_});\n }\n }\n `}};function ket(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t;Zs(o,\"avgPool\");let{filterSize:s,strides:i,pad:a,dimRoundingMode:u}=n,l=1;y.assert(S.eitherStridesOrDilationsAreOne(i,l),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);let c=S.computePool2DInfo(o.shape,s,i,l,a,u);if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))return tr({inputs:{x:o},backend:e});let p=new Qs(c,\"avg\",!1);return e.runWebGLProgram(p,[o],\"float32\")}var PM={kernelName:Wo,backendName:\"webgl\",kernelFunc:ket};function Tet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{filterSize:s,strides:i,pad:a,dimRoundingMode:u,dataFormat:l}=n,c=[1,1,1],p=S.computePool3DInfo(o.shape,s,i,c,a,u,l),m=new Au(p,\"avg\",!1);return e.runWebGLProgram(m,[o],\"float32\")}var LM={kernelName:kl,backendName:\"webgl\",kernelFunc:Tet};var jw=class{constructor(t){this.variableNames=[\"dy\"],this.outputShape=t.inShape;let e=t.filterHeight,n=t.filterWidth,o=t.strideHeight,s=t.strideWidth,i=t.dilationHeight,a=t.dilationWidth,u=t.effectiveFilterHeight,l=t.effectiveFilterWidth,c=u-1-t.padInfo.top,p=l-1-t.padInfo.left,m=1/(e*n);this.userCode=`\n const ivec2 pads = ivec2(${c}, ${p});\n const float avgMultiplier = float(${m});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n\n ivec2 dyRCCorner = coords.yz - pads;\n int dyRCorner = dyRCCorner.x;\n int dyCCorner = dyRCCorner.y;\n\n // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${u};\n wR += ${i}) {\n float dyR = float(dyRCorner + wR) / ${o}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${l};\n wC+= ${a}) {\n float dyC = float(dyCCorner + wC) / ${s}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(b, idyR, idyC, d);\n\n dotProd += dyValue * avgMultiplier;\n }\n }\n setOutput(dotProd);\n }\n `}},Xw=class{constructor(t){this.variableNames=[\"dy\"],this.outputShape=t.inShape;let e=t.filterDepth,n=t.filterHeight,o=t.filterWidth,s=t.strideDepth,i=t.strideHeight,a=t.strideWidth,u=t.dilationDepth,l=t.dilationHeight,c=t.dilationWidth,p=t.effectiveFilterDepth,m=t.effectiveFilterHeight,f=t.effectiveFilterWidth,d=p-1-t.padInfo.front,h=m-1-t.padInfo.top,g=f-1-t.padInfo.left,x=1/(e*n*o);this.userCode=`\n const ivec3 pads = ivec3(${d}, ${h}, ${g});\n const float avgMultiplier = float(${x});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyDCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n // dx(xD, xR, xC, ch).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int wD = 0; wD < ${p};\n wD += ${u}) {\n float dyD = float(dyDCorner + wD) / ${s}.0;\n\n if (dyD < 0.0 || dyD >= ${t.outDepth}.0 || fract(dyD) > 0.0) {\n continue;\n }\n int idyD = int(dyD);\n\n for (int wR = 0; wR < ${m};\n wR += ${l}) {\n float dyR = float(dyRCorner + wR) / ${i}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${f};\n wC += ${c}) {\n float dyC = float(dyCCorner + wC) / ${a}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n dotProd += dyValue * avgMultiplier;\n }\n }\n }\n setOutput(dotProd);\n }\n `}};function Eet(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s,{filterSize:a,strides:u,pad:l,dimRoundingMode:c}=n,p=[1,1,1],m=S.computePool3DInfo(i.shape,a,u,p,l,c),f=new Xw(m);return e.runWebGLProgram(f,[o],i.dtype)}var MM={kernelName:lp,backendName:\"webgl\",kernelFunc:Eet};function _et(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s;Zs([o,s],\"avgPoolGrad\");let{filterSize:a,strides:u,pad:l}=n,c=S.computePool2DInfo(i.shape,a,u,1,l),p=new jw(c);return e.runWebGLProgram(p,[o],i.dtype)}var zM={kernelName:ap,backendName:\"webgl\",kernelFunc:_et};function Aet(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s}=t,{transposeA:i,transposeB:a}=n;return Uc({a:o,b:s,transposeA:i,transposeB:a,backend:e})}var BM={kernelName:Uo,backendName:\"webgl\",kernelFunc:Aet};var Yw=class{constructor(t,e,n,o,s,i){this.outputShape=[],this.variableNames=[\"x\",\"mean\",\"variance\"],S.assertAndGetBroadcastShape(t,e),S.assertAndGetBroadcastShape(t,n);let a=\"0.0\";o!=null&&(S.assertAndGetBroadcastShape(t,o),this.variableNames.push(\"offset\"),a=\"getOffsetAtOutCoords()\");let u=\"1.0\";s!=null&&(S.assertAndGetBroadcastShape(t,s),this.variableNames.push(\"scale\"),u=\"getScaleAtOutCoords()\"),this.outputShape=t,this.userCode=`\n void main() {\n float x = getXAtOutCoords();\n float mean = getMeanAtOutCoords();\n float variance = getVarianceAtOutCoords();\n float offset = ${a};\n float scale = ${u};\n float inv = scale * inversesqrt(variance + float(${i}));\n setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n }\n `}};var Zw=class{constructor(t,e,n,o,s,i){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=[\"x\",\"mean\",\"variance\"],S.assertAndGetBroadcastShape(t,e),S.assertAndGetBroadcastShape(t,n);let a=\"vec4(0.0)\";o!=null&&(S.assertAndGetBroadcastShape(t,o),this.variableNames.push(\"offset\"),a=\"getOffsetAtOutCoords()\");let u=\"vec4(1.0)\";s!=null&&(S.assertAndGetBroadcastShape(t,s),this.variableNames.push(\"scale\"),u=\"getScaleAtOutCoords()\"),this.outputShape=t,this.userCode=`\n void main() {\n vec4 offset = ${a};\n vec4 scale = ${u};\n\n vec4 x = getXAtOutCoords();\n vec4 mean = getMeanAtOutCoords();\n vec4 variance = getVarianceAtOutCoords();\n\n vec4 inv = scale * inversesqrt(variance + vec4(${i}));\n\n setOutput((x - mean) * inv + offset);\n }\n `}};var $et=({inputs:r,backend:t,attrs:e})=>{let{x:n,mean:o,variance:s,offset:i,scale:a}=r;y.assert(o.shape.length===s.shape.length,()=>\"Batch normalization gradient requires mean and variance to have equal ranks.\"),y.assert(i==null||o.shape.length===i.shape.length,()=>\"Batch normalization gradient requires mean and offset to have equal ranks.\"),y.assert(a==null||o.shape.length===a.shape.length,()=>\"Batch normalization gradient requires mean and scale to have equal ranks.\");let{varianceEpsilon:u}=e;u==null&&(u=.001);let l=[n,o,s],c=null;i!=null&&(c=i.shape,l.push(i));let p=null;a!=null&&(p=a.shape,l.push(a));let m=M().getBool(\"WEBGL_PACK_NORMALIZATION\")?new Zw(n.shape,o.shape,s.shape,c,p,u):new Yw(n.shape,o.shape,s.shape,c,p,u);return t.runWebGLProgram(m,l,l[0].dtype)},VM={kernelName:ns,backendName:\"webgl\",kernelFunc:$et};var Jw=class{constructor(t){this.variableNames=[\"source\"],this.outputShape=t,this.rank=t.length;let e=zt(this.rank);this.customUniforms=[{name:\"start\",arrayIndex:this.rank,type:\"int\"}];let n=Det(this.rank),o,s=t.map((i,a)=>`sourceLoc.${cT[a]} = start[${a}] + coords.${cT[a]};`);o=`\n ${e} sourceLoc;\n ${e} coords = getOutputCoords();\n ${s.join(`\n`)}\n `,this.userCode=`\n void main() {\n ${o}\n setOutput(getSource(${n}));\n }\n `}},cT=[\"x\",\"y\",\"z\",\"w\",\"u\",\"v\"];function Det(r){if(r===1)return\"sourceLoc\";if(r<=6)return cT.slice(0,r).map(t=>\"sourceLoc.\"+t).join(\",\");throw Error(`Slicing for rank ${r} is not yet supported`)}var Qw=class{constructor(t){this.variableNames=[\"source\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.rank=t.length,this.customUniforms=[{name:\"start\",arrayIndex:this.rank,type:\"int\"}];let e=zt(this.rank),n=Qe(\"coords\",this.rank),o=Qe(\"sourceLoc\",this.rank),s=this.rank===1?\"sourceLoc\":`vec2(${o.slice(-2).join()})`,i=`getChannel(getSource(${o.join()}), ${s})`,a=`\n result.x = ${i};\n if (++${n[this.rank-1]} < ${t[this.rank-1]}) {\n ++${o[this.rank-1]};\n result.y = ${i};\n --${o[this.rank-1]};\n }\n `,u=this.rank===1?\"\":`\n --${n[this.rank-1]};\n if (++${n[this.rank-2]} < ${t[this.rank-2]}) {\n ++${o[this.rank-2]};\n result.z = ${i};\n if (++${n[this.rank-1]} < ${t[this.rank-1]}) {\n ++${o[this.rank-1]};\n result.w = ${i};\n }\n }\n `,l=this.rank<=4?`sourceLoc = coords +\n ${e}(${t.map((c,p)=>`start[${p}]`).join()});`:t.map((c,p)=>`${o[p]} = ${n[p]} + start[${p}];`).join(`\n`);this.userCode=`\n void main() {\n ${e} coords = getOutputCoords();\n ${e} sourceLoc;\n ${l}\n vec4 result = vec4(0.);\n ${a}\n ${u}\n setOutput(result);\n }\n `}};function Ret(r,t,e,n){let o=n.texData.get(r.dataId),s=n.makeTensorInfo(e,r.dtype),i=n.texData.get(s.dataId);Object.assign(i,o),i.refCount=1,i.shape=e,i.dtype=r.dtype;let a=Pe.computeFlatOffset(t,y.computeStrides(r.shape));o.slice&&(a+=o.slice.flatOffset),i.slice={flatOffset:a,origDataId:o.slice&&o.slice.origDataId||r.dataId};let u=n.dataRefCount.get(i.slice.origDataId)||1;return n.dataRefCount.set(i.slice.origDataId,u+1),s}function ti(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,size:i}=n,[a,u]=Pe.parseSliceParams(o,s,i);if(Pe.assertParamsValid(o,a,u),y.sizeFromShape(u)===0)return e.makeTensorInfo(u,o.dtype,[]);if(e.shouldExecuteOnCPU([o])||o.dtype===\"string\"){let p=e.texData.get(o.dataId),m=$L(p.values,a,u,o.shape,o.dtype);return e.makeTensorInfo(u,o.dtype,m)}let{isPacked:l}=e.texData.get(o.dataId),c=Pe.isSliceContinous(o.shape,a,u);if(l||!c){let p=M().getBool(\"WEBGL_PACK_ARRAY_OPERATIONS\")?new Qw(u):new Jw(u),m=[a];return e.runWebGLProgram(p,[o],o.dtype,m)}return e.uploadToGPU(o.dataId),Ret(o,a,u,e)}var GM={kernelName:di,backendName:\"webgl\",kernelFunc:ti};var Fet=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,crops:i}=n;y.assert(o.shape.length<=4,()=>\"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet\");let a=s.reduce((b,w)=>b*w),u=S.getReshaped(o.shape,s,a),l=S.getPermuted(u.length,s.length),c=S.getReshapedPermuted(o.shape,s,a),p=S.getSliceBeginCoords(i,s.length),m=S.getSliceSize(c,i,s.length),f=[],d=st({inputs:{x:o},backend:e,attrs:{shape:u}}),h=Fe({inputs:{x:d},backend:e,attrs:{perm:l}}),g=st({inputs:{x:h},backend:e,attrs:{shape:c}}),x=ti({inputs:{x:g},backend:e,attrs:{begin:p,size:m}});return f.push(d),f.push(h),f.push(g),f.forEach(b=>e.disposeIntermediateTensorInfo(b)),x},WM={kernelName:si,backendName:\"webgl\",kernelFunc:Fet};function Oet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,weights:s}=t,{size:i}=n,a=e.readSync(o.dataId),u=e.readSync(s.dataId),l=Dw(a,u,s.dtype,s.shape,i);return e.makeTensorInfo([i],s.dtype,l)}var UM={kernelName:up,backendName:\"webgl\",kernelFunc:Oet};function Pet(r){let{inputs:t,backend:e}=r,{s0:n,s1:o}=t,s=e.readSync(n.dataId),i=e.readSync(o.dataId),a=S.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return e.makeTensorInfo([a.length],\"int32\",Int32Array.from(a))}var HM={kernelName:cp,backendName:\"webgl\",kernelFunc:Pet};var Let=\"return float(a != b);\",pT=le({opSnippet:Let,cpuKernelImpl:vL,dtype:\"bool\"}),qM={kernelName:Aa,backendName:\"webgl\",kernelFunc:pT};function yl(r){let{inputs:t,backend:e}=r,{input:n}=t,o=e.texData.get(n.dataId);return tr({inputs:{x:o.complexTensorInfos.real},backend:e})}var KM={kernelName:Dp,backendName:\"webgl\",kernelFunc:yl};var Met=\"return float(int(x));\";function jM(r,t){let e=new tn(r.shape,Met),n=t.runWebGLProgram(e,[r],\"int32\");return{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}function mT(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dtype:s}=n;if(s===\"complex64\"){if(o.dtype===\"complex64\")return tr({inputs:{x:o},backend:e});let i=Ne(o.shape),a=mT({inputs:{x:o},backend:e,attrs:{dtype:\"float32\"}}),u=Tn({inputs:{real:a,imag:i},backend:e});return i.dispose(),e.disposeIntermediateTensorInfo(a),u}if(o.dtype===\"complex64\"){let i=yl({inputs:{input:o},backend:e}),a=mT({inputs:{x:i},backend:e,attrs:{dtype:s}});return e.disposeIntermediateTensorInfo(i),a}if(!y.hasEncodingLoss(o.dtype,s)){let i=tr({inputs:{x:o},backend:e});return{dataId:i.dataId,shape:i.shape,dtype:s}}if(e.shouldExecuteOnCPU([o])){let i=e.texData.get(o.dataId).values,[a,u,l]=nL(i,o.shape,o.dtype,s);return e.makeTensorInfo(a,u,l)}if(s===\"int32\")return jM(o,e);if(s===\"bool\"){let i=e.makeTensorInfo([],\"bool\",y.getTypedArrayFromDType(\"bool\",1)),u=pT({inputs:{a:o,b:i},backend:e});return e.disposeIntermediateTensorInfo(i),u}throw new Error(`Error in Cast: failed to cast ${o.dtype} to ${s}`)}var XM={kernelName:io,backendName:\"webgl\",kernelFunc:mT};var YM=\"return ceil(x);\",zet=Ct({opSnippet:YM,packedOpSnippet:YM,cpuKernelImpl:oL}),ZM={kernelName:Ho,backendName:\"webgl\",kernelFunc:zet};var tC=class{constructor(t){this.variableNames=[\"A\"],this.customUniforms=[{name:\"minVal\",type:\"float\"},{name:\"maxVal\",type:\"float\"}],this.outputShape=t,this.userCode=`\n\n void main() {\n float value = getAAtOutCoords();\n if (isnan(value)) {\n setOutput(value);\n return;\n }\n\n setOutput(clamp(value, minVal, maxVal));\n }\n `}};var eC=class{constructor(t){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"minVal\",type:\"float\"},{name:\"maxVal\",type:\"float\"}],this.outputShape=t,this.userCode=`\n void main() {\n vec4 value = getAAtOutCoords();\n\n if (any(isnan(value))) {\n setOutput(value);\n return;\n }\n\n setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n }\n `}};function Bet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{clipValueMin:s,clipValueMax:i}=n,a;M().getBool(\"WEBGL_PACK_CLIP\")?a=new eC(o.shape):a=new tC(o.shape);let u=[[s],[i]];return e.runWebGLProgram(a,[o],o.dtype,u)}var JM={kernelName:ao,backendName:\"webgl\",kernelFunc:Bet};var rC=class{constructor(t){this.variableNames=[\"real\",\"imag\"],this.outputShape=t,this.userCode=`\n void main() {\n float re = abs(getRealAtOutCoords());\n float im = abs(getImagAtOutCoords());\n float mx = max(re, im);\n\n // sadly the length function in glsl is not underflow-safe\n // (at least not on Intel GPUs). So the safe solution is\n // to ensure underflow-safety in all cases.\n setOutput(\n mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n );\n }\n `}};function QM(r,t){return{dataId:t.dataId,dtype:t.dtype,shape:r.shape}}function Vet(r){let{inputs:t,backend:e}=r,{x:n}=t,o=e.texData.get(n.dataId),s=new rC(n.shape),i=[QM(n,o.complexTensorInfos.real),QM(n,o.complexTensorInfos.imag)];return e.runWebGLProgram(s,i,i[0].dtype)}var tz={kernelName:Tl,backendName:\"webgl\",kernelFunc:Vet};var nC=class{constructor(t){this.outputShape=[],this.outputShape=S.computeOutShape(t,1),this.variableNames=t.map((i,a)=>`T${a}`);let e=new Array(t.length-1);e[0]=t[0][1];for(let i=1;i`T${g}`);let u=new Array(t.length-1);u[0]=t[0][e];for(let h=1;h= ${u[h-1]}) {\n return getChannel(\n getT${h}(${oC(a,l,g)}),\n vec2(${oC(c,l,g)}));\n }`}let f=u.length,d=u[u.length-1];m+=`\n return getChannel(\n getT${f}(${oC(a,l,d)}),\n vec2(${oC(c,l,d)}));`,this.userCode=`\n float getValue(${a.map(h=>\"int \"+h)}) {\n ${m}\n }\n\n void main() {\n ${s} coords = getOutputCoords();\n vec4 result = vec4(getValue(${i}), 0., 0., 0.);\n\n ${i[o-1]} = ${i[o-1]} + 1;\n if (${i[o-1]} < ${n[o-1]}) {\n result.g = getValue(${i});\n }\n\n ${i[o-2]} = ${i[o-2]} + 1;\n if (${i[o-2]} < ${n[o-2]}) {\n result.a = getValue(${i});\n }\n\n ${i[o-1]} = ${i[o-1]} - 1;\n if (${i[o-2]} < ${n[o-2]} &&\n ${i[o-1]} < ${n[o-1]}) {\n result.b = getValue(${i});\n }\n setOutput(result);\n }\n `}};function oC(r,t,e){let n=r.indexOf(t);return r.map((s,i)=>i===n?`${s} - ${e}`:s).join()}function Hc(r){let{inputs:t,backend:e}=r,{input:n}=t,o=e.texData.get(n.dataId);return tr({inputs:{x:o.complexTensorInfos.imag},backend:e})}var ez={kernelName:vp,backendName:\"webgl\",kernelFunc:Hc};function Cd(r,t,e){let n=r[0].dtype;if(n===\"complex64\"){let p=r.map(g=>yl({inputs:{input:g},backend:e})),m=r.map(g=>Hc({inputs:{input:g},backend:e})),f=Cd(p,t,e),d=Cd(m,t,e),h=Tn({inputs:{real:f,imag:d},backend:e});return p.forEach(g=>e.disposeIntermediateTensorInfo(g)),m.forEach(g=>e.disposeIntermediateTensorInfo(g)),e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(d),h}let o=e.shouldExecuteOnCPU(r);if(n===\"string\"&&(o=!0),o){let p=r.map(b=>{let w=y.sizeFromShape(b.shape.slice(t));return st({inputs:{x:b},backend:e,attrs:{shape:[-1,w]}})}),m=p.map(b=>({vals:e.readSync(b.dataId),shape:b.shape})),f=S.computeOutShape(p.map(b=>b.shape),1),d=p[0].shape[0]===1,h=sL(m,f,n,d),g=S.computeOutShape(r.map(b=>b.shape),t),x=e.makeTensorInfo(g,n,h);return p.forEach(b=>e.disposeIntermediateTensorInfo(b)),x}let s=M().getNumber(\"WEBGL_MAX_TEXTURES_IN_SHADER\");if(r.length>s){let p=[];for(let f=0;f1){let p=new sC(r.map(m=>m.shape),t);return e.runWebGLProgram(p,r,n)}let{tensors2D:i,outShape:a}=Get(r,t,e),u=new nC(i.map(p=>p.shape)),l=e.runWebGLProgram(u,i,n);i.forEach(p=>e.disposeIntermediateTensorInfo(p));let c=st({inputs:{x:l},attrs:{shape:a},backend:e});return e.disposeIntermediateTensorInfo(l),c}function Get(r,t,e){let n=S.computeOutShape(r.map(s=>s.shape),t);return{tensors2D:r.map(s=>st({inputs:{x:s},attrs:{shape:[-1,y.sizeFromShape(s.shape.slice(t))]},backend:e})),outShape:n}}function fT(r){let{inputs:t,backend:e,attrs:n}=r,{axis:o}=n,s=y.parseAxisParam(o,t[0].shape)[0],i=t.map(l=>l.shape);S.assertParamsConsistent(i,s);let a=S.computeOutShape(t.map(l=>l.shape),s);if(y.sizeFromShape(a)===0)return e.makeTensorInfo(a,t[0].dtype,[]);let u=t.filter(l=>y.sizeFromShape(l.shape)>0);return u.length===1?tr({inputs:{x:u[0]},backend:e}):Cd(u,s,e)}var rz={kernelName:ii,backendName:\"webgl\",kernelFunc:fT};var Id=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=[\"x\",\"W\"],this.outputShape=t.outShape;let i=t.padInfo.top,a=t.padInfo.left,u=t.strideHeight,l=t.strideWidth,c=t.dilationHeight,p=t.dilationWidth,m=t.filterHeight,f=t.filterWidth,d=Math.floor(t.inChannels/4)*4,h=t.inChannels%4,g=t.dataFormat===\"channelsLast\",x=g?1:2,b=g?2:3,w=g?3:1,C=\"\",N=\"\";n&&(o?C=`float activation(float a) {\n float b = getPreluActivationWeightsAtOutCoords();\n ${n}\n }`:s?C=`float activation(float a) {\n float b = getLeakyreluAlphaAtOutCoords();\n ${n}\n }`:C=`\n float activation(float x) {\n ${n}\n }\n `,N=\"result = activation(result);\");let _=e?\"result += getBiasAtOutCoords();\":\"\";e&&this.variableNames.push(\"bias\"),o&&this.variableNames.push(\"preluActivationWeights\"),s&&this.variableNames.push(\"leakyreluAlpha\"),this.userCode=`\n ${C}\n\n const ivec2 strides = ivec2(${u}, ${l});\n const ivec2 pads = ivec2(${i}, ${a});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d2 = coords[${w}];\n\n ivec2 xRCCorner =\n ivec2(coords[${x}], coords[${b}]) * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${m}; wR++) {\n int xR = xRCorner + wR * ${c};\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${f}; wC++) {\n int xC = xCCorner + wC * ${p};\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n for (int d1 = 0; d1 < ${d}; d1 += 4) {\n vec4 wValues = vec4(\n getW(wR, wC, d1, d2),\n getW(wR, wC, d1 + 1, d2),\n getW(wR, wC, d1 + 2, d2),\n getW(wR, wC, d1 + 3, d2)\n );\n\n if (${g}) {\n vec4 xValues = vec4(\n getX(batch, xR, xC, d1),\n getX(batch, xR, xC, d1 + 1),\n getX(batch, xR, xC, d1 + 2),\n getX(batch, xR, xC, d1 + 3)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec4 xValues = vec4(\n getX(batch, d1, xR, xC),\n getX(batch, d1 + 1, xR, xC),\n getX(batch, d1 + 2, xR, xC),\n getX(batch, d1 + 3, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n }\n\n if (${h===1}) {\n\n if (${g}) {\n dotProd +=\n getX(batch, xR, xC, ${d}) *\n getW(wR, wC, ${d}, d2);\n } else {\n dotProd +=\n getX(batch, ${d}, xR, xC) *\n getW(wR, wC, ${d}, d2);\n }\n\n } else if (${h===2}) {\n vec2 wValues = vec2(\n getW(wR, wC, ${d}, d2),\n getW(wR, wC, ${d} + 1, d2)\n );\n\n if (${g}) {\n vec2 xValues = vec2(\n getX(batch, xR, xC, ${d}),\n getX(batch, xR, xC, ${d} + 1)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec2 xValues = vec2(\n getX(batch, ${d}, xR, xC),\n getX(batch, ${d} + 1, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n\n } else if (${h===3}) {\n vec3 wValues = vec3(\n getW(wR, wC, ${d}, d2),\n getW(wR, wC, ${d} + 1, d2),\n getW(wR, wC, ${d} + 2, d2)\n );\n\n if (${g}) {\n vec3 xValues = vec3(\n getX(batch, xR, xC, ${d}),\n getX(batch, xR, xC, ${d} + 1),\n getX(batch, xR, xC, ${d} + 2)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec3 xValues = vec3(\n getX(batch, ${d}, xR, xC),\n getX(batch, ${d} + 1, xR, xC),\n getX(batch, ${d} + 2, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n\n }\n }\n }\n\n float result = dotProd;\n ${_}\n ${N}\n setOutput(result);\n }\n `}},iC=class{constructor(t){this.variableNames=[\"x\",\"W\"],this.outputShape=t.outShape;let e=t.padInfo.front,n=t.padInfo.top,o=t.padInfo.left,s=t.strideDepth,i=t.strideHeight,a=t.strideWidth,u=t.dilationDepth,l=t.dilationHeight,c=t.dilationWidth,p=t.filterDepth,m=t.filterHeight,f=t.filterWidth,d=Math.floor(t.inChannels/4)*4,h=t.inChannels%4;this.userCode=`\n const ivec3 strides = ivec3(${s}, ${i}, ${a});\n const ivec3 pads = ivec3(${e}, ${n}, ${o});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int d2 = coords.u;\n\n ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xFCorner = xFRCCorner.x;\n int xRCorner = xFRCCorner.y;\n int xCCorner = xFRCCorner.z;\n\n // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n // y(yF, yR, yC, d2). ? = to be determined. : = across all\n // values in that axis.\n float dotProd = 0.0;\n for (int wF = 0; wF < ${p}; wF++) {\n int xF = xFCorner + wF * ${u};\n\n if (xF < 0 || xF >= ${t.inDepth}) {\n continue;\n }\n\n for (int wR = 0; wR < ${m}; wR++) {\n int xR = xRCorner + wR * ${l};\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${f}; wC++) {\n int xC = xCCorner + wC * ${c};\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n for (int d1 = 0; d1 < ${d}; d1 += 4) {\n vec4 xValues = vec4(\n getX(batch, xF, xR, xC, d1),\n getX(batch, xF, xR, xC, d1 + 1),\n getX(batch, xF, xR, xC, d1 + 2),\n getX(batch, xF, xR, xC, d1 + 3)\n );\n vec4 wValues = vec4(\n getW(wF, wR, wC, d1, d2),\n getW(wF, wR, wC, d1 + 1, d2),\n getW(wF, wR, wC, d1 + 2, d2),\n getW(wF, wR, wC, d1 + 3, d2)\n );\n\n dotProd += dot(xValues, wValues);\n }\n\n if (${h===1}) {\n dotProd +=\n getX(batch, xF, xR, xC, ${d}) *\n getW(wF, wR, wC, ${d}, d2);\n } else if (${h===2}) {\n vec2 xValues = vec2(\n getX(batch, xF, xR, xC, ${d}),\n getX(batch, xF, xR, xC, ${d} + 1)\n );\n vec2 wValues = vec2(\n getW(wF, wR, wC, ${d}, d2),\n getW(wF, wR, wC, ${d} + 1, d2)\n );\n dotProd += dot(xValues, wValues);\n } else if (${h===3}) {\n vec3 xValues = vec3(\n getX(batch, xF, xR, xC, ${d}),\n getX(batch, xF, xR, xC, ${d} + 1),\n getX(batch, xF, xR, xC, ${d} + 2)\n );\n vec3 wValues = vec3(\n getW(wF, wR, wC, ${d}, d2),\n getW(wF, wR, wC, ${d} + 1, d2),\n getW(wF, wR, wC, ${d} + 2, d2)\n );\n dotProd += dot(xValues, wValues);\n }\n }\n }\n }\n setOutput(dotProd);\n }\n `}};var vd=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=[\"x\",\"W\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"pads\",type:\"ivec2\"},{name:\"strides\",type:\"ivec2\"},{name:\"dilations\",type:\"ivec2\"},{name:\"inDims\",type:\"ivec2\"}],this.outputShape=t.outShape,this.enableShapeUniforms=we(this.outputShape.length);let i=t.padInfo.left,a=t.strideWidth,u=t.dilationWidth,l=t.filterHeight,c=t.filterWidth,p=c,m=`\n int xR; int xC; int xCOffset;\n vec4 wTexel; vec4 previous; vec4 final;`;for(let g=0;g=0 && xR < inDims[0]) {\n `;for(let g=0;g<(p+1)/2;g++){let x=g*2;if(m+=`\n xC = xCCorner + ${x*u};\n `,a===1){if(x= 0 && xCOffset < inDims[1] && xTexelC${x}Ready == 0) {\n xTexelC${x} = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x}.zw = vec2(0.0);\n }\n xTexelC${x}Ready = 1;\n }\n `,u===1&&x>0?m+=`\n xC${x} = vec4(xTexelC${x-2}.zw, xTexelC${x}.xy);\n `:m+=`\n xCOffset = xC + 1 - 2;\n\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n previous.zw = vec2(0.0);\n }\n\n xC${x} = vec4(previous.zw, xTexelC${x}.xy);\n } else {\n xC${x} = vec4(0.0, 0.0, xTexelC${x}.xy);\n }\n `):m+=`\n if (xC >= 0 && xC < inDims[1] && xTexelC${x}Ready == 0) {\n xTexelC${x} = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC${x}.zw = vec2(0.0);\n }\n xTexelC${x}Ready = 1;\n }\n\n xC${x} = xTexelC${x};\n `,x+1= 0 && xCOffset < inDims[1] && xTexelC${x+1}Ready == 0) {\n xTexelC${x+1} = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x+1}.zw = vec2(0.0);\n }\n xTexelC${x+1}Ready = 1;\n }\n `,u>1?m+=`\n xCOffset -= 2;\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n xC${x+1} = vec4(previous.zw, xTexelC${x+1}.xy);\n } else {\n xC${x+1} = vec4(0.0, 0.0, xTexelC${x+1}.xy);\n }\n `:m+=`\n xC${x+1} = vec4(xTexelC${x}.zw, xTexelC${x+1}.xy);\n `):b===1?m+=`\n xC${x+1} = xTexelC${x};\n `:m+=`\n xCOffset = xC + ${b};\n\n if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${x+1}Ready == 0) {\n xTexelC${x+1} = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x+1}.zw = vec2(0.0);\n }\n xTexelC${x+1}Ready = 1;\n }\n\n xC${x+1} = xTexelC${x+1};\n `}}else x= 0 && xCOffset < inDims[1] && xTexelC${x}Ready == 0) {\n xTexelC${x} = getX(batch, xR, xCOffset, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x}.zw = vec2(0.0);\n }\n xTexelC${x}Ready = 1;\n }\n\n if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC${x+1}Ready == 0) {\n xTexelC${x+1} = getX(batch, xR, xC + 1, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xC + 2 >= inDims[1]) {\n xTexelC${x+1}.zw = vec2(0.0);\n }\n xTexelC${x+1}Ready = 1;\n }\n\n xC${x} = vec4(xTexelC${x}.zw, xTexelC${x+1}.zw);\n `,x+1= 0 && xCOffset < inDims[1]) {\n final = getX(batch, xR, xCOffset, d1);\n }\n xC${x+1} = vec4(xTexelC${x+1}.xy, final.xy);\n `)):(m+=`\n if(xC >= 0 && xC < inDims[1] && xTexelC${x}Ready == 0) {\n xTexelC${x} = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC${x}.zw = vec2(0.0);\n }\n xTexelC${x}Ready = 1;\n }\n\n xCOffset = xC + strides[1];\n if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${x+1}Ready == 0) {\n xTexelC${x+1} = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x+1}.zw = vec2(0.);\n }\n xTexelC${x+1}Ready = 1;\n }\n\n xC${x} = vec4(\n xTexelC${x}.xy, xTexelC${x+1}.xy);\n `,x+1= 0) {\n // Use custom imod instead mod. On Intel GPU, mod may generate\n // unexpected value.\n // https://github.com/tensorflow/tfjs/issues/5447\n offsetX = imod(blockIndex, outWidth) * stride[1] - pad[1];\n d1 = offsetX + dilation[1] * (imod(pos, itemsPerBlockRow) /\n inChannels);\n\n if(d1 < inputShape[${a}] && d1 >= 0) {\n\n ch = imod(pos, inChannels);\n\n if (${s}) {\n innerDims = vec2(d1, ch);\n result[${c*2+p}] = getChannel(\n getA(rc.x, d0, int(innerDims.x),\n int(innerDims.y)), innerDims);\n } else {\n innerDims = vec2(d0, d1);\n result[${c*2+p}] = getChannel(\n getA(rc.x, ch, int(innerDims.x),\n int(innerDims.y)), innerDims);\n }\n }\n }\n }\n `;this.userCode=`\n void main() {\n ivec3 rc = getOutputCoords();\n\n vec4 result = vec4(0);\n\n int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n vec2 innerDims;\n\n ${l}\n\n ${o.output} = result;\n }\n `}};function lC(r,t){let e=r.length;return e>=3?t?[...r.slice(0,-3),r[e-3]*r[e-2],r[e-1]]:[...r.slice(0,-3),r[e-3],r[e-2]*r[e-1]]:!t&&e===1&&r[0]>1?[r[0],1]:null}function uC({x:r,filter:t,convInfo:e,backend:n,bias:o=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:a=null}){let u=r.shape,l=n.texData.get(r.dataId),c=e.inChannels,p=u[0]*u[1]*u[2],m=e.outChannels,f=e.dataFormat===\"channelsLast\",d=!1,h=!1,g,x=[];if(s!=null){let C=lC(s.shape,f);C!=null&&(s=st({inputs:{x:s},backend:n,attrs:{shape:C}}),x.push(s))}if(o!=null){let C=lC(o.shape,f);C!=null&&(o=st({inputs:{x:o},backend:n,attrs:{shape:C}}),x.push(o))}if(!((p===1||m===1)&&c>uT)&&l.isPacked&&f&&l.texture!=null&&u[2]%2!==0&&y.arraysEqual(l.shape.slice(-3),u.slice(-3))){let C=u[0]*u[1]*(u[2]+1),N={dataId:r.dataId,shape:[1,C,e.inChannels],dtype:r.dtype},_=l.shape;l.shape=l.shape.slice(),l.shape[l.shape.length-2]++,y.assert(Tu(l.shape,N.shape),()=>`packed reshape ${l.shape} to ${N.shape} isn't free`);let A=st({inputs:{x:t},backend:n,attrs:{shape:[1,e.inChannels,e.outChannels]}});x.push(A);let $=Uc({a:N,b:A,backend:n,transposeA:d,transposeB:h,bias:o,activation:a,preluActivationWeights:s,leakyreluAlpha:i}),F=n.texData.get($.dataId);y.assert(F.isPacked,()=>\"batchMatMul result is expected to be packed\"),l.shape=_,F.shape=e.outShape,g=tr({inputs:{x:$},backend:n}),g.shape=e.outShape,x.push($)}else{let C=e.outHeight*e.outWidth,N=st({inputs:{x:r},backend:n,attrs:{shape:f?[e.batchSize,C,e.inChannels]:[e.batchSize,e.inChannels,C]}}),_=st({inputs:{x:t},backend:n,attrs:{shape:[1,e.inChannels,e.outChannels]}}),A=Uc({a:f?N:_,b:f?_:N,transposeA:!f,transposeB:h,backend:n,bias:o,activation:a,preluActivationWeights:s,leakyreluAlpha:i});g=st({inputs:{x:A},backend:n,attrs:{shape:e.outShape}}),x.push(N),x.push(_),x.push(A)}for(let C of x)n.disposeIntermediateTensorInfo(C);return g}function cC({x:r,filter:t,convInfo:e,backend:n,bias:o=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:a=null}){let{filterWidth:u,filterHeight:l,inChannels:c,outWidth:p,outHeight:m,dataFormat:f}=e,d=f===\"channelsLast\",h=u*l*c,g=m*p,x=[e.batchSize,h,g],b=!0,w=!1,C=[];if(s!=null){let Z=lC(s.shape,d);Z!=null&&(s=st({inputs:{x:s},backend:n,attrs:{shape:Z}}),C.push(s))}if(o!=null){let Z=lC(o.shape,d);Z!=null&&(o=st({inputs:{x:o},backend:n,attrs:{shape:Z}}),C.push(o))}let N=st({inputs:{x:t},backend:n,attrs:{shape:[1,h,y.sizeFromShape(t.shape)/h]}});C.push(N);let _=new aC(x,e),A=[r.shape,[e.padInfo.top,e.padInfo.left],[e.strideHeight,e.strideWidth],[e.dilationHeight,e.dilationWidth],[e.inChannels],[e.filterWidth*e.inChannels],[e.outWidth]],$=n.runWebGLProgram(_,[r],\"float32\",A),F=st({inputs:{x:$},backend:n,attrs:{shape:x}});C.push($),C.push(F);let P=o!=null,V=s!=null,G=a===\"leakyrelu\",W=a?xl(a,!0):null,q=new wd(d?F.shape:N.shape,d?N.shape:F.shape,d?[e.batchSize,g,e.outChannels]:[e.batchSize,e.outChannels,g],b,w,P,W,V,G),H=d?[F,N]:[N,F];if(o&&H.push(o),V&&H.push(s),G){let Z=n.makeTensorInfo([],\"float32\",y.createScalarValue(i,\"float32\"));H.push(Z),C.push(Z)}let j=n.runWebGLProgram(q,H,\"float32\"),Y=st({inputs:{x:j},backend:n,attrs:{shape:e.outShape}});C.push(j);for(let Z of C)n.disposeIntermediateTensorInfo(Z);return Y}function Wet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dataFormat:u,dilations:l,dimRoundingMode:c}=n,p=S.convertConv2DDataFormat(u),m=S.computeConv2DInfo(o.shape,s.shape,i,l,a,c,!1,p),f;if(m.filterHeight===1&&m.filterWidth===1&&m.dilationHeight===1&&m.dilationWidth===1&&m.strideHeight===1&&m.strideWidth===1&&(m.padInfo.type===\"SAME\"||m.padInfo.type===\"VALID\"))f=uC({x:o,filter:s,convInfo:m,backend:e});else if(m.strideWidth<=2&&p===\"channelsLast\"&&M().getBool(\"WEBGL_EXP_CONV\")){let h=new vd(m),g=[[m.padInfo.top,m.padInfo.left],[m.strideHeight,m.strideWidth],[m.dilationHeight,m.dilationWidth],[m.inHeight,m.inWidth]];f=e.runWebGLProgram(h,[o,s],\"float32\",g)}else if(M().getBool(\"WEBGL_CONV_IM2COL\"))f=cC({x:o,filter:s,convInfo:m,backend:e});else{let h=new Id(m);f=e.runWebGLProgram(h,[o,s],\"float32\")}let d=st({inputs:{x:f},backend:e,attrs:{shape:m.outShape}});return e.disposeIntermediateTensorInfo(f),d}var nz={kernelName:qo,backendName:\"webgl\",kernelFunc:Wet};var pC=class{constructor(t){this.variableNames=[\"x\",\"dy\"],this.outputShape=t.filterShape;let e=t.strideHeight,n=t.strideWidth,o=t.padInfo.top,s=t.padInfo.left,i=t.dataFormat===\"channelsLast\";this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int wR = coords.x;\n int wC = coords.y;\n int d1 = coords.z;\n int d2 = coords.w;\n\n // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int b = 0; b < ${t.batchSize}; b++) {\n for (int yR = 0; yR < ${t.outHeight}; yR++) {\n int xR = wR + yR * ${e} - ${o};\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int yC = 0; yC < ${t.outWidth}; yC++) {\n int xC = wC + yC * ${n} - ${s};\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n if (${i}) {\n float dyValue = getDy(b, yR, yC, d2);\n float xValue = getX(b, xR, xC, d1);\n dotProd += (xValue * dyValue);\n } else {\n float dyValue = getDy(b, d2, yR, yC);\n float xValue = getX(b, d1, xR, xC);\n dotProd += (xValue * dyValue);\n }\n\n }\n }\n }\n setOutput(dotProd);\n }\n `}},mC=class{constructor(t){this.variableNames=[\"dy\",\"W\"],this.outputShape=t.inShape;let e=t.filterHeight,n=t.filterWidth,o=t.strideHeight,s=t.strideWidth,i=t.dataFormat===\"channelsLast\",a=e-1-t.padInfo.top,u=n-1-t.padInfo.left,l=i?1:2,c=i?2:3,p=i?3:1;this.userCode=`\n const ivec2 pads = ivec2(${a}, ${u});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d1 = coords[${p}];\n\n ivec2 dyCorner = ivec2(coords[${l}], coords[${c}]) - pads;\n int dyRCorner = dyCorner.x;\n int dyCCorner = dyCorner.y;\n\n // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${e}; wR++) {\n float dyR = float(dyRCorner + wR) / ${o}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ${e} - 1 - wR;\n\n for (int wC = 0; wC < ${n}; wC++) {\n float dyC = float(dyCCorner + wC) / ${s}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ${n} - 1 - wC;\n\n for (int d2 = 0; d2 < ${t.outChannels}; d2++) {\n\n if (${i}) {\n float xValue = getDy(batch, idyR, idyC, d2);\n float wValue = getW(wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n } else {\n float xValue = getDy(batch, d2, idyR, idyC);\n float wValue = getW(wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n }\n\n }\n }\n }\n setOutput(dotProd);\n }\n `}},fC=class{constructor(t){this.variableNames=[\"x\",\"dy\"],this.outputShape=t.filterShape;let e=t.strideDepth,n=t.strideHeight,o=t.strideWidth,s=t.padInfo.front,i=t.padInfo.top,a=t.padInfo.left;this.userCode=`\n void main() {\n ivec5 coords = getOutputCoords();\n int wF = coords.x;\n int wR = coords.y;\n int wC = coords.z;\n int d1 = coords.w;\n int d2 = coords.u;\n\n float dotProd = 0.0;\n\n for (int b = 0; b < ${t.batchSize}; b++) {\n for (int yF = 0; yF < ${t.outDepth}; yF++) {\n int xF = wF + yF * ${e} - ${s};\n\n if (xF < 0 || xF >= ${t.inDepth}) {\n continue;\n }\n\n for (int yR = 0; yR < ${t.outHeight}; yR++) {\n int xR = wR + yR * ${n} - ${i};\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int yC = 0; yC < ${t.outWidth}; yC++) {\n int xC = wC + yC * ${o} - ${a};\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n float dyValue = getDy(b, yF, yR, yC, d2);\n float xValue = getX(b, xF, xR, xC, d1);\n dotProd += (xValue * dyValue);\n }\n }\n }\n }\n setOutput(dotProd);\n }\n `}},dC=class{constructor(t){this.variableNames=[\"dy\",\"W\"],this.outputShape=t.inShape;let e=t.filterDepth,n=t.filterHeight,o=t.filterWidth,s=t.strideDepth,i=t.strideHeight,a=t.strideWidth,u=e-1-t.padInfo.front,l=n-1-t.padInfo.top,c=o-1-t.padInfo.left;this.userCode=`\n const ivec3 pads = ivec3(${u}, ${l}, ${c});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int d1 = coords.u;\n\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyFCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n float dotProd = 0.0;\n for (int wF = 0; wF < ${e}; wF++) {\n float dyF = float(dyFCorner + wF) / ${s}.0;\n\n if (dyF < 0.0 || dyF >= ${t.outDepth}.0 || fract(dyF) > 0.0) {\n continue;\n }\n int idyF = int(dyF);\n\n int wFPerm = ${e} - 1 - wF;\n\n for (int wR = 0; wR < ${n}; wR++) {\n float dyR = float(dyRCorner + wR) / ${i}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ${n} - 1 - wR;\n\n for (int wC = 0; wC < ${o}; wC++) {\n float dyC = float(dyCCorner + wC) / ${a}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ${o} - 1 - wC;\n\n for (int d2 = 0; d2 < ${t.outChannels}; d2++) {\n float xValue = getDy(batch, idyF, idyR, idyC, d2);\n float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n }\n }\n }\n }\n setOutput(dotProd);\n }\n `}};function Uet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,dy:s}=t,{strides:i,pad:a,dataFormat:u,dimRoundingMode:l,filterShape:c}=n,p=S.convertConv2DDataFormat(u),m=S.computeConv2DInfo(o.shape,c,i,1,a,l,!1,p),f=new pC(m);return e.runWebGLProgram(f,[o,s],\"float32\")}var oz={kernelName:mp,backendName:\"webgl\",kernelFunc:Uet};function Het(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,filter:s}=t,{inputShape:i,strides:a,pad:u,dataFormat:l,dimRoundingMode:c}=n,p=S.convertConv2DDataFormat(l),m=S.computeConv2DInfo(i,s.shape,a,1,u,c,!1,p),f=new mC(m);return e.runWebGLProgram(f,[o,s],\"float32\")}var sz={kernelName:Ko,backendName:\"webgl\",kernelFunc:Het};function qet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dilations:u}=n,l=S.computeConv3DInfo(o.shape,s.shape,i,u,a),c=new iC(l);return e.runWebGLProgram(c,[o,s],\"float32\")}var iz={kernelName:El,backendName:\"webgl\",kernelFunc:qet};function Ket(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,dy:s}=t,{strides:i,pad:a,filterShape:u}=n,l=S.computeConv3DInfo(o.shape,u,i,1,a),c=new fC(l);return e.runWebGLProgram(c,[o,s],\"float32\")}var az={kernelName:fp,backendName:\"webgl\",kernelFunc:Ket};function jet(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,filter:s}=t,{pad:i,strides:a,inputShape:u}=n,l=S.computeConv3DInfo(u,s.shape,a,1,i),c=new dC(l);return e.runWebGLProgram(c,[o,s],\"float32\")}var lz={kernelName:dp,backendName:\"webgl\",kernelFunc:jet};var Xet=Oo+`\n return cos(x);\n`,Yet=Ct({opSnippet:Xet}),uz={kernelName:jo,backendName:\"webgl\",kernelFunc:Yet};var Zet=`\n float e2x = exp(-x);\n return (e2x + 1.0 / e2x) / 2.0;\n`,Jet=Ct({opSnippet:Zet}),cz={kernelName:Xo,backendName:\"webgl\",kernelFunc:Jet};var hC=class{constructor(t,e,n,o,s){this.variableNames=[\"Image\",\"Boxes\",\"BoxInd\"],this.outputShape=[];let[i,a,u,l]=t,[c]=e,[p,m]=n;this.outputShape=[c,p,m,l];let f=o===\"bilinear\"?1:0,[d,h]=[`${a-1}.0`,`${u-1}.0`],[g,x,b]=p>1?[`${(a-1)/(p-1)}`,\"(y2-y1) * height_ratio\",`y1*${d} + float(y)*(height_scale)`]:[\"0.0\",\"0.0\",`0.5 * (y1+y2) * ${d}`],[w,C,N]=m>1?[`${(u-1)/(m-1)}`,\"(x2-x1) * width_ratio\",`x1*${h} + float(x)*(width_scale)`]:[\"0.0\",\"0.0\",`0.5 * (x1+x2) * ${h}`];this.userCode=`\n const float height_ratio = float(${g});\n const float width_ratio = float(${w});\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int y = coords[1];\n int x = coords[2];\n int d = coords[3];\n\n // get box vals\n float y1 = getBoxes(b,0);\n float x1 = getBoxes(b,1);\n float y2 = getBoxes(b,2);\n float x2 = getBoxes(b,3);\n\n // get image in batch index\n int bInd = round(getBoxInd(b));\n if(bInd < 0 || bInd >= ${i}) {\n return;\n }\n\n float height_scale = ${x};\n float width_scale = ${C};\n\n float in_y = ${b};\n if( in_y < 0.0 || in_y > ${d} ) {\n setOutput(float(${s}));\n return;\n }\n float in_x = ${N};\n if( in_x < 0.0 || in_x > ${h} ) {\n setOutput(float(${s}));\n return;\n }\n\n vec2 sourceFracIndexCR = vec2(in_x,in_y);\n if(${f} == 1) {\n // Compute the four integer indices.\n ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n float top = topLeft + (topRight - topLeft) * fracCR.x;\n float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n float newValue = top + (bottom - top) * fracCR.y;\n setOutput(newValue);\n } else {\n // Compute the coordinators of nearest neighbor point.\n ivec2 sourceNearestCR = ivec2(floor(\n sourceFracIndexCR + vec2(0.5,0.5)));\n float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n setOutput(newValue);\n }\n }\n `}};var Qet=r=>{let{inputs:t,backend:e,attrs:n}=r,{image:o,boxes:s,boxInd:i}=t,{cropSize:a,method:u,extrapolationValue:l}=n,c=new hC(o.shape,s.shape,a,u,l);return e.runWebGLProgram(c,[o,s,i],\"float32\")},pz={kernelName:ma,backendName:\"webgl\",kernelFunc:Qet};var qc;(function(r){r.Prod=\"*\",r.Sum=\"+\"})(qc||(qc={}));var Jh=class{constructor(t,e,n,o){this.op=t,this.outputShape=e,this.variableNames=[\"x\"],this.customUniforms=[{name:\"index\",type:\"float\"}];let s=this.outputShape.length,i=this.op===qc.Prod?\"1.0\":\"0.0\",a=n?i:`getX(${mz(s,\"coords\",this.op)})`,u=this.outputShape[this.outputShape.length-1],l=\"\",c=\"\";n?(l=o?`end != ${u-1}`:\"end != 0\",c=o?\"end + 1\":\"end - 1\"):(l=o?`end + pow2 < ${u}`:\"end >= pow2\",c=o?\"end + pow2\":\"end - pow2\"),this.userCode=`\n void main() {\n ${zt(s)} coords = getOutputCoords();\n int end = ${fz(s,\"coords\",this.op)};\n float val = ${a};\n int pow2 = int(pow(2.0, index));\n if (${l}) {\n int idx = ${c};\n ${fz(s,\"coords\",this.op)} = idx;\n val ${this.op}= getX(${mz(s,\"coords\",this.op)});\n }\n setOutput(val);\n }\n `}};function mz(r,t,e){if(r===1)return`${t}`;if(r===2)return`${t}.x, ${t}.y`;if(r===3)return`${t}.x, ${t}.y, ${t}.z`;if(r===4)return`${t}.x, ${t}.y, ${t}.z, ${t}.w`;throw new Error(`Cumulative ${e} for rank ${r} is not yet supported`)}function fz(r,t,e){if(r===1)return`${t}`;if(r===2)return`${t}.y`;if(r===3)return`${t}.z`;if(r===4)return`${t}.w`;throw new Error(`Cumulative ${e} for rank ${r} is not yet supported`)}function gC(r,t,e,n,o,s){let i=t.shape.length,a=S.getAxesPermutation([n],i),u=t;a!=null&&(u=Fe({inputs:{x:t},backend:e,attrs:{perm:a}}));let l=S.getInnerMostAxes(1,i)[0];if(l!==i-1)throw new Error(`WebGL cumprod shader expects an inner-most axis=${t.shape.length-1} but got axis=${n}`);let c=u.shape[l],p=tr({inputs:{x:u},backend:e});for(let m=0;m<=Math.ceil(Math.log2(c))-1;m++){let f=new Jh(r,u.shape,!1,s),d=[[m]],h=p;p=e.runWebGLProgram(f,[p],p.dtype,d),e.disposeIntermediateTensorInfo(h)}if(o){let m=new Jh(r,u.shape,o,s),f=p;p=e.runWebGLProgram(m,[p],p.dtype),e.disposeIntermediateTensorInfo(f)}if(a!=null){let m=S.getUndoAxesPermutation(a),f=Fe({inputs:{x:p},backend:e,attrs:{perm:m}});return e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(u),f}return p}function trt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,exclusive:i,reverse:a}=n;return gC(qc.Prod,o,e,s,i,a)}var dz={kernelName:pa,backendName:\"webgl\",kernelFunc:trt};function ert(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,exclusive:i,reverse:a}=n;return gC(qc.Sum,o,e,s,i,a)}var hz={kernelName:Yo,backendName:\"webgl\",kernelFunc:ert};function rrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,weights:s}=t,{size:i,binaryOutput:a}=n;if(o.shape.length===1){let u=e.readSync(o.dataId),l=e.readSync(s.dataId),c=Dw(u,l,s.dtype,s.shape,i);return e.makeTensorInfo([i],s.dtype,c)}else if(o.shape.length===2){let u=e.bufferSync(o),l=e.bufferSync(s),c=rL(u,l,i,a);return e.makeTensorInfo(c.shape,s.dtype,c.values)}throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank${o.shape.length}.`)}var gz={kernelName:hp,backendName:\"webgl\",kernelFunc:rrt};var xC=class{constructor(t,e,n){this.variableNames=[\"x\"],this.outputShape=[],this.outputShape=t,this.blockSize=e,this.dataFormat=n,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int h = ${this.getHeightCoordString()};\n int w = ${this.getWidthCoordString()};\n int d = ${this.getDepthCoordString()};\n\n int in_h = h / ${e};\n int offset_h = imod(h, ${e});\n int in_w = w / ${e};\n int offset_w = imod(w, ${e});\n int offset_d = (offset_h * ${e} + offset_w) *\n ${this.getOutputDepthSize()};\n int in_d = d + offset_d;\n\n float result = ${this.getInputSamplingString()};\n setOutput(result);\n }\n `}getHeightCoordString(){return this.dataFormat===\"NHWC\"?\"coords[1]\":\"coords[2]\"}getWidthCoordString(){return this.dataFormat===\"NHWC\"?\"coords[2]\":\"coords[3]\"}getDepthCoordString(){return this.dataFormat===\"NHWC\"?\"coords[3]\":\"coords[1]\"}getOutputDepthSize(){return this.dataFormat===\"NHWC\"?this.outputShape[3]:this.outputShape[1]}getInputSamplingString(){return this.dataFormat===\"NHWC\"?\"getX(b, in_h, in_w, in_d)\":\"getX(b, in_d, in_h, in_w)\"}};function nrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockSize:s,dataFormat:i}=n,a=o.shape[0],u=i===\"NHWC\"?o.shape[1]:o.shape[2],l=i===\"NHWC\"?o.shape[2]:o.shape[3],c=i===\"NHWC\"?o.shape[3]:o.shape[1],p=u*s,m=l*s,f=c/(s*s),d=i===\"NHWC\"?[a,p,m,f]:[a,f,p,m],h=new xC(d,s,i);return e.runWebGLProgram(h,[o],o.dtype)}var xz={kernelName:fa,backendName:\"webgl\",kernelFunc:nrt};var Sd=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=[\"x\",\"W\"],this.customUniforms=[{name:\"pads\",type:\"ivec2\"},{name:\"strides\",type:\"ivec2\"},{name:\"dilations\",type:\"ivec2\"},{name:\"inDims\",type:\"ivec2\"}],this.outputShape=t.outShape,this.enableShapeUniforms=we(this.outputShape.length);let i=t.filterHeight,a=t.filterWidth,u=t.outChannels/t.inChannels,l=\"\",c=\"\";n&&(o?l=`float activation(float a) {\n float b = getPreluActivationWeightsAtOutCoords();\n ${n}\n }`:s?l=`float activation(float a) {\n float b = getLeakyreluAlphaAtOutCoords();\n ${n}\n }`:l=`\n float activation(float x) {\n ${n}\n }\n `,c=\"result = activation(result);\");let p=e?\"result += getBiasAtOutCoords();\":\"\";e&&this.variableNames.push(\"bias\"),o&&this.variableNames.push(\"preluActivationWeights\"),s&&this.variableNames.push(\"leakyreluAlpha\"),this.userCode=`\n ${l}\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords.x;\n ivec2 xRCCorner = coords.yz * strides - pads;\n int d2 = coords.w;\n int d1 = d2 / ${u};\n int q = d2 - d1 * ${u};\n\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n for (int wR = 0; wR < ${i}; wR++) {\n int xR = xRCorner + wR * dilations[0];\n\n if (xR < 0 || xR >= inDims[0]) {\n continue;\n }\n\n for (int wC = 0; wC < ${a}; wC++) {\n int xC = xCCorner + wC * dilations[1];\n\n if (xC < 0 || xC >= inDims[1]) {\n continue;\n }\n\n float xVal = getX(batch, xR, xC, d1);\n float wVal = getW(wR, wC, d1, q);\n dotProd += xVal * wVal;\n }\n }\n\n float result = dotProd;\n ${p}\n ${c}\n setOutput(result);\n }\n `}};var Nd=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=[\"x\",\"W\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"pads\",type:\"ivec2\"},{name:\"strides\",type:\"ivec2\"},{name:\"dilations\",type:\"ivec2\"},{name:\"inDims\",type:\"ivec2\"}],this.outputShape=t.outShape,this.enableShapeUniforms=we(this.outputShape.length);let i=t.outChannels/t.inChannels,a=t.padInfo.left,u=t.strideWidth,l=t.dilationWidth,c=t.filterHeight,p=t.filterWidth,m=p,f=`\n int xR; int xC; int xCOffset;\n vec4 wTexel; vec4 previous; vec4 final;`;for(let x=0;x=0 && xR < inDims[0]) {\n `;for(let x=0;x<(m+1)/2;x++){let b=x*2;if(f+=`\n xC = xCCorner + ${b*l};\n `,u===1){if(b= 0 && xCOffset < inDims[1] && xTexelC${b}Ready == 0) {\n xTexelC${b} = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b}.zw = vec2(0.0);\n }\n xTexelC${b}Ready = 1;\n }\n `,l===1&&b>0?f+=`\n xC${b} = vec4(xTexelC${b-2}.zw, xTexelC${b}.xy);\n `:f+=`\n xCOffset = xC + 1 - 2;\n\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n previous.zw = vec2(0.0);\n }\n\n xC${b} = vec4(previous.zw, xTexelC${b}.xy);\n } else {\n xC${b} = vec4(0.0, 0.0, xTexelC${b}.xy);\n }\n `):f+=`\n if (xC >= 0 && xC < inDims[1] && xTexelC${b}Ready == 0) {\n xTexelC${b} = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC${b}.zw = vec2(0.0);\n }\n xTexelC${b}Ready = 1;\n }\n\n xC${b} = xTexelC${b};\n `,b+1= 0 && xCOffset < inDims[1] && xTexelC${b+1}Ready == 0) {\n xTexelC${b+1} = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b+1}.zw = vec2(0.0);\n }\n xTexelC${b+1}Ready = 1;\n }\n `,l>1?f+=`\n xCOffset -= 2;\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n xC${b+1} = vec4(previous.zw, xTexelC${b+1}.xy);\n } else {\n xC${b+1} = vec4(0.0, 0.0, xTexelC${b+1}.xy);\n }\n `:f+=`\n xC${b+1} = vec4(xTexelC${b}.zw, xTexelC${b+1}.xy);\n `):w===1?f+=`\n xC${b+1} = xTexelC${b};\n `:f+=`\n xCOffset = xC + ${w};\n\n if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${b+1}Ready == 0) {\n xTexelC${b+1} = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b+1}.zw = vec2(0.0);\n }\n xTexelC${b+1}Ready = 1;\n }\n\n xC${b+1} = xTexelC${b+1};\n `}}else b= 0 && xCOffset < inDims[1] && xTexelC${b}Ready == 0) {\n xTexelC${b} = getX(batch, xR, xCOffset, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b}.zw = vec2(0.0);\n }\n xTexelC${b}Ready = 1;\n }\n\n if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC${b+1}Ready == 0) {\n xTexelC${b+1} = getX(batch, xR, xC + 1, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xC + 2 >= inDims[1]) {\n xTexelC${b+1}.zw = vec2(0.0);\n }\n xTexelC${b+1}Ready = 1;\n }\n\n xC${b} = vec4(xTexelC${b}.zw, xTexelC${b+1}.zw);\n `,b+1= 0 && xCOffset < inDims[1]) {\n final = getX(batch, xR, xCOffset, d1);\n }\n xC${b+1} = vec4(xTexelC${b+1}.xy, final.xy);\n `)):(f+=`\n if(xC >= 0 && xC < inDims[1] && xTexelC${b}Ready == 0) {\n xTexelC${b} = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC${b}.zw = vec2(0.0);\n }\n xTexelC${b}Ready = 1;\n }\n\n xCOffset = xC + strides[1];\n if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${b+1}Ready == 0) {\n xTexelC${b+1} = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b+1}.zw = vec2(0.);\n }\n xTexelC${b+1}Ready = 1;\n }\n\n xC${b} = vec4(\n xTexelC${b}.xy, xTexelC${b+1}.xy);\n `,b+1`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${c}'`);let p=S.computeConv2DInfo(o.shape,s.shape,i,c,a,l,!0),m;M().getBool(\"WEBGL_PACK_DEPTHWISECONV\")&&p.strideWidth<=2&&p.outChannels/p.inChannels===1?m=new Nd(p):m=new Sd(p);let f=[[p.padInfo.top,p.padInfo.left],[p.strideHeight,p.strideWidth],[p.dilationHeight,p.dilationWidth],[p.inHeight,p.inWidth]];return e.runWebGLProgram(m,[o,s],\"float32\",f)}var yz={kernelName:Zo,backendName:\"webgl\",kernelFunc:ort};var yC=class{constructor(t){this.variableNames=[\"x\",\"dy\"],this.outputShape=t.filterShape;let e=t.strideHeight,n=t.strideWidth,o=t.padInfo.top,s=t.padInfo.left,i=t.outChannels/t.inChannels;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int wR = coords.x;\n int wC = coords.y;\n int d1 = coords.z;\n int dm = coords.w;\n int d2 = d1 * ${i} + dm;\n\n float dotProd = 0.0;\n\n // TO DO: Vec4 over the batch size\n for (int b = 0; b < ${t.batchSize}; b++) {\n for (int yR = 0; yR < ${t.outHeight}; yR++) {\n int xR = wR + yR * ${e} - ${o};\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int yC = 0; yC < ${t.outWidth}; yC++) {\n int xC = wC + yC * ${n} - ${s};\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n float dyValue = getDy(b, yR, yC, d2);\n float xValue = getX(b, xR, xC, d1);\n dotProd += (xValue * dyValue);\n }\n }\n }\n setOutput(dotProd);\n }\n `}},bC=class{constructor(t){this.variableNames=[\"dy\",\"W\"],this.outputShape=t.inShape;let e=t.filterHeight,n=t.filterWidth,o=t.strideHeight,s=t.strideWidth,i=e-1-t.padInfo.top,a=n-1-t.padInfo.left,u=t.outChannels/t.inChannels;this.userCode=`\n const ivec2 pads = ivec2(${i}, ${a});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d1 = coords[3];\n ivec2 dyCorner = coords.yz - pads;\n int dyRCorner = dyCorner.x;\n int dyCCorner = dyCorner.y;\n\n float dotProd = 0.0;\n\n for (int wR = 0; wR < ${e}; wR++) {\n float dyR = float(dyRCorner + wR) / ${o}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ${e} - 1 - wR;\n\n for (int wC = 0; wC < ${n}; wC++) {\n float dyC = float(dyCCorner + wC) / ${s}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ${n} - 1 - wC;\n\n // TO DO: Vec4 over the channelMul\n for (int dm = 0; dm < ${u}; dm++) {\n int d2 = d1 * ${u} + dm;\n float xValue = getDy(batch, idyR, idyC, d2);\n float wValue = getW(wRPerm, wCPerm, d1, dm);\n dotProd += xValue * wValue;\n }\n }\n }\n setOutput(dotProd);\n }\n `}};function srt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,dy:s}=t,{strides:i,dilations:a,pad:u,dimRoundingMode:l,filterShape:c}=n,p=S.computeConv2DInfo(o.shape,c,i,a,u,l,!0),m=new yC(p);return e.runWebGLProgram(m,[o,s],\"float32\")}var bz={kernelName:gp,backendName:\"webgl\",kernelFunc:srt};function irt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,filter:s}=t,{strides:i,dilations:a,pad:u,dimRoundingMode:l,inputShape:c}=n,p=S.computeConv2DInfo(c,s.shape,i,a,u,l,!0),m=new bC(p);return e.runWebGLProgram(m,[o,s],\"float32\")}var wz={kernelName:xp,backendName:\"webgl\",kernelFunc:irt};var wC=class{constructor(t){this.variableNames=[\"X\"],this.outputShape=[t,t],this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;\n setOutput(val);\n }\n `}};function art(r){let{inputs:t,backend:e}=r,{x:n}=t,o=[...n.shape,...n.shape],s=y.sizeFromShape(n.shape),i=st({inputs:{x:n},backend:e,attrs:{shape:[s]}}),a=new wC(s),u=e.runWebGLProgram(a,[i],i.dtype),l=st({inputs:{x:u},backend:e,attrs:{shape:o}});return e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(u),l}var Cz={kernelName:yp,backendName:\"webgl\",kernelFunc:art};var CC=class{constructor(t){this.variableNames=[\"x\",\"W\"],this.outputShape=t.outShape;let{inHeight:e,inWidth:n,padInfo:o,strideHeight:s,strideWidth:i,filterHeight:a,filterWidth:u,dilationHeight:l,dilationWidth:c}=t,{top:p,left:m}=o;this.userCode=`\n const ivec2 strides = ivec2(${s}, ${i});\n const ivec2 pads = ivec2(${p}, ${m});\n const float neg_infinity = -3.4e38;\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords.x;\n int d1 = coords.w;\n ivec2 outTopLeftCorner =\n coords.yz * strides - pads;\n int hBeg = outTopLeftCorner.x;\n int wBeg = outTopLeftCorner.y;\n\n float curVal = neg_infinity;\n for (int h = 0; h < ${a}; h++) {\n int hIn = hBeg + h * ${l};\n\n if (hIn >= 0 && hIn < ${e}) {\n for (int w = 0; w < ${u}; w++) {\n int wIn = wBeg + w * ${c};\n\n if (wIn >= 0 && wIn < ${n}) {\n float xVal = getX(batch, hIn, wIn, d1);\n float wVal = getW(h, w, d1);\n\n float val = xVal + wVal;\n if (val > curVal) {\n curVal = val;\n }\n }\n }\n }\n }\n\n float result = curVal;\n setOutput(result);\n }\n `}};function lrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dilations:u}=n,l=S.computeDilation2DInfo(o.shape,s.shape,i,a,\"NHWC\",u),c,p=new CC(l);c=e.runWebGLProgram(p,[o,s],\"float32\");let m=st({inputs:{x:c},backend:e,attrs:{shape:l.outShape}});return e.disposeIntermediateTensorInfo(c),m}var Iz={kernelName:_l,backendName:\"webgl\",kernelFunc:lrt};function urt(r){let{inputs:t,backend:e,attrs:n}=r,{equation:o}=n,s=t,{allDims:i,summedDims:a,idDims:u}=S.decodeEinsumEquation(o,s.length);S.checkEinsumDimSizes(i.length,u,s);let{path:l,steps:c}=S.getEinsumComputePath(a,u),p=c.length,m=null,f=i.length,d=[];for(let h=0;h=0&&(m=Wc({inputs:{x:m},backend:e,attrs:{axis:l[h]-(i.length-f),keepDims:!1}}),d.push(m)),f--)}for(let h of d)h!==m&&e.disposeIntermediateTensorInfo(h);return m}var vz={kernelName:bp,backendName:\"webgl\",kernelFunc:urt};var crt=\"return (x >= 0.0) ? x : (exp(x) - 1.0);\",prt=`\n vec4 result;\n\n result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n return result;\n`,mrt=Ct({opSnippet:crt,packedOpSnippet:prt}),Sz={kernelName:Qo,backendName:\"webgl\",kernelFunc:mrt};var frt=\"return (b >= 1.0) ? a : a * (b + 1.0);\",drt=`\n vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n`,hrt=r=>{let{inputs:t,backend:e}=r,{dy:n,y:o}=t,s=M().getBool(\"WEBGL_PACK_BINARY_OPERATIONS\")?new Fo(drt,n.shape,o.shape):new oo(frt,n.shape,o.shape);return e.runWebGLProgram(s,[n,o],n.dtype)},Nz={kernelName:wp,backendName:\"webgl\",kernelFunc:hrt};var grt=`\n return vec4(equal(a, b));\n`,xrt=\"return float(a == b);\",yrt=le({opSnippet:xrt,packedOpSnippet:grt,dtype:\"bool\",cpuKernelImpl:iL}),kz={kernelName:ha,backendName:\"webgl\",kernelFunc:yrt};var brt=`\n // Error function is calculated approximately with elementary function.\n // See \"Handbook of Mathematical Functions with Formulas,\n // Graphs, and Mathematical Tables\", Abramowitz and Stegun.\n float p = ${S.ERF_P};\n float a1 = ${S.ERF_A1};\n float a2 = ${S.ERF_A2};\n float a3 = ${S.ERF_A3};\n float a4 = ${S.ERF_A4};\n float a5 = ${S.ERF_A5};\n\n float sign = sign(x);\n x = abs(x);\n float t = 1.0 / (1.0 + p * x);\n return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));\n`,wrt=Ct({opSnippet:brt}),Tz={kernelName:da,backendName:\"webgl\",kernelFunc:wrt};var Crt=Oo+`\n return exp(x);\n`,Irt=`\n vec4 result = exp(x);\n bvec4 isNaN = isnan(x);\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,dT=Ct({opSnippet:Crt,packedOpSnippet:Irt,cpuKernelImpl:aL,dtype:\"float32\"}),Ez={kernelName:ts,backendName:\"webgl\",kernelFunc:dT};function IC(r){let{inputs:t,attrs:e,backend:n}=r,{dim:o}=e,{input:s}=t,i=s.shape.length,a=s.shape.slice(),u=o;return o<0&&(y.assert(-(i+1)<=o,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),u=i+o+1),a.splice(u,0,1),st({inputs:{x:s},backend:n,attrs:{shape:a}})}var _z={kernelName:ai,backendName:\"webgl\",kernelFunc:IC};var Az=\"return exp(x) - 1.0;\",vrt=Ct({opSnippet:Az,packedOpSnippet:Az,cpuKernelImpl:lL}),$z={kernelName:ga,backendName:\"webgl\",kernelFunc:vrt};var Qh=class{constructor(t,e,n){this.variableNames=[\"real\",\"imag\"];let o=e[1];this.outputShape=e;let s=n?`2.0 * ${Math.PI}`:`-2.0 * ${Math.PI}`,i=n?`${o}.0`:\"1.0\",a;if(t===\"real\")a=\"return real * expR - imag * expI;\";else if(t===\"imag\")a=\"return real * expI + imag * expR;\";else throw new Error(`FFT component must be either \"real\" or \"imag\", got ${t}.`);this.userCode=`\n const float exponentMultiplier = ${s};\n\n float unaryOpComplex(float real, float expR, float imag, float expI) {\n ${a}\n }\n\n float mulMatDFT(int batch, int index) {\n float indexRatio = float(index) / float(${o});\n float exponentMultiplierTimesIndexRatio =\n exponentMultiplier * indexRatio;\n\n float result = 0.0;\n\n for (int i = 0; i < ${o}; i++) {\n // x = (-2|2 * PI / N) * index * i;\n float x = exponentMultiplierTimesIndexRatio * float(i);\n float expR = cos(x);\n float expI = sin(x);\n float real = getReal(batch, i);\n float imag = getImag(batch, i);\n\n result +=\n unaryOpComplex(real, expR, imag, expI) / ${i};\n }\n\n return result;\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n setOutput(mulMatDFT(coords[0], coords[1]));\n }\n `}};function vC(r,t,e){let n=e.texData.get(r.dataId),o=y.sizeFromShape(r.shape),s=r.shape[r.shape.length-1],i=o/s,a=st({inputs:{x:r},backend:e,attrs:{shape:[i,s]}}),u=a.shape,l=new Qh(\"real\",u,t),c=new Qh(\"imag\",u,t),p=[{dataId:n.complexTensorInfos.real.dataId,dtype:n.complexTensorInfos.real.dtype,shape:u},{dataId:n.complexTensorInfos.imag.dataId,dtype:n.complexTensorInfos.imag.dtype,shape:u}],m=e.runWebGLProgram(l,p,\"float32\"),f=e.runWebGLProgram(c,p,\"float32\"),d=Tn({inputs:{real:m,imag:f},backend:e});e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f);let h=st({inputs:{x:d},backend:e,attrs:{shape:r.shape}});return e.disposeIntermediateTensorInfo(a),e.disposeIntermediateTensorInfo(d),h}function Srt(r){let{inputs:t,backend:e}=r,{input:n}=t;return vC(n,!1,e)}var Dz={kernelName:Cp,backendName:\"webgl\",kernelFunc:Srt};var SC=class{constructor(t,e){this.outputShape=[],this.customUniforms=[{name:\"value\",type:\"float\"}],this.variableNames=[\"x\"],this.outputShape=t,this.userCode=`\n void main() {\n // Input can be obtained from uniform value.\n setOutput(value);\n }\n `}};function bl(r){let{backend:t,attrs:e}=r,{shape:n,value:o}=e,{dtype:s}=e;if(s=s||y.inferDtype(o),s===\"string\"){let i=y.getArrayFromDType(s,y.sizeFromShape(n));return i.fill(o),t.makeTensorInfo(n,s,i)}else{let i=new SC(n,o),a=[[o]];return t.runWebGLProgram(i,[],s,a)}}var Rz={kernelName:Al,backendName:\"webgl\",kernelFunc:bl};var NC=class{constructor(t){this.variableNames=[\"Image\"],this.outputShape=[];let e=t[2];this.outputShape=t,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int x = coords[2];\n\n int coordX = ${e} - x - 1;\n float outputValue;\n if(coordX >= 0 && coordX < ${e}) {\n outputValue = getImage(coords[0], coords[1], coordX, coords[3]);\n } else {\n outputValue = getImage(coords[0], coords[1], coords[2], coords[3]);\n }\n setOutput(outputValue);\n }\n `}};var Fz={kernelName:xa,backendName:\"webgl\",kernelFunc:({inputs:r,backend:t})=>{let{image:e}=r,n=t,o=new NC(e.shape);return n.runWebGLProgram(o,[e],e.dtype)}};var Oz=\"return floor(x);\",Nrt=Ct({opSnippet:Oz,packedOpSnippet:Oz,cpuKernelImpl:uL}),Pz={kernelName:es,backendName:\"webgl\",kernelFunc:Nrt};var krt=`\n float s = sign(a) * sign(b);\n int ia = round(a);\n int ib = round(b);\n if (ib != 0) {\n // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n return float(idiv(ia, ib, s));\n } else {\n return NAN;\n }\n`,Trt=`\n ivec4 ia = round(a);\n ivec4 ib = round(b);\n bvec4 cond = notEqual(ib, ivec4(0));\n ivec4 result = ivec4(0);\n vec4 s = sign(a) * sign(b);\n\n // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n if (cond[0]) {\n result[0] = idiv(ia[0], ib[0], s[0]);\n }\n if (cond[1]) {\n result[1] = idiv(ia[1], ib[1], s[1]);\n }\n if (cond[2]) {\n result[2] = idiv(ia[2], ib[2], s[2]);\n }\n if (cond[3]) {\n result[3] = idiv(ia[3], ib[3], s[3]);\n }\n return vec4(result);\n`,Ert=le({opSnippet:krt,packedOpSnippet:Trt,dtype:\"int32\"}),Lz={kernelName:rs,backendName:\"webgl\",kernelFunc:Ert};var kC=class{constructor(t){this.variableNames=[\"A\"];let e=Ve(),[n,o]=t;this.outputShape=t,this.userCode=`\n void main() {\n ivec3 coords = getOutputCoords();\n int texR = coords[0];\n int texC = coords[1];\n int depth = coords[2];\n vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${o}.0, ${n}.0);\n\n vec4 values = ${e.texture2D}(A, uv);\n float value;\n if (depth == 0) {\n value = values.r;\n } else if (depth == 1) {\n value = values.g;\n } else if (depth == 2) {\n value = values.b;\n } else if (depth == 3) {\n value = values.a;\n }\n\n setOutput(floor(value * 255.0 + 0.5));\n }\n `}};var TC=class{constructor(t){this.variableNames=[\"A\"],this.packedInputs=!1,this.packedOutput=!0;let e=Ve(),[n,o]=t;this.outputShape=t,this.userCode=`\n void main() {\n ivec3 coords = getOutputCoords();\n int texR = coords[0];\n int texC = coords[1];\n int depth = coords[2];\n\n vec4 result = vec4(0.);\n\n for(int row=0; row<=1; row++) {\n for(int col=0; col<=1; col++) {\n texC = coords[1] + row;\n depth = coords[2] + col;\n\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2(${o}.0, ${n}.0);\n vec4 values = ${e.texture2D}(A, uv);\n float value;\n if (depth == 0) {\n value = values.r;\n } else if (depth == 1) {\n value = values.g;\n } else if (depth == 2) {\n value = values.b;\n } else if (depth == 3) {\n value = values.a;\n }\n\n result[row * 2 + col] = floor(value * 255.0 + 0.5);\n }\n }\n\n ${e.output} = result;\n }\n `}};var Mz={kernelName:qd,backendName:\"webgl\",kernelFunc:_rt},kd,hT=M().getBool(\"CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU\");function _rt(r){let{inputs:t,backend:e,attrs:n}=r,{pixels:o}=t,{numChannels:s}=n,i=typeof HTMLVideoElement!=\"undefined\"&&o instanceof HTMLVideoElement,a=typeof HTMLImageElement!=\"undefined\"&&o instanceof HTMLImageElement,[u,l]=i?[o.videoWidth,o.videoHeight]:[o.width,o.height],c=[l,u],p=[l,u,s];if(a||i){let h=M().getBool(\"CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU\");(kd==null||h!==hT)&&(hT=h,kd=document.createElement(\"canvas\").getContext(\"2d\",{willReadFrequently:hT})),kd.canvas.width=u,kd.canvas.height=l,kd.drawImage(o,0,0,u,l),o=kd.canvas}let m=e.makeTensorInfo(c,\"int32\");e.texData.get(m.dataId).usage=Kr.PIXELS,e.gpgpu.uploadPixelDataToTexture(e.getTexture(m.dataId),o);let f=M().getBool(\"WEBGL_PACK\")?new TC(p):new kC(p),d=e.runWebGLProgram(f,[m],\"int32\");return e.disposeData(m.dataId),d}function Art(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=n,h=S.convertConv2DDataFormat(c),g=S.computeConv2DInfo(o.shape,s.shape,u,p,l,m,!1,h),x,b=[],w=i!=null,C=a!=null,N=f===\"leakyrelu\",_=()=>{let $=[o,s],F=(P,V)=>{if(V===\"NCHW\"&&P.shape.length===1&&P.shape[0]!==1){let G=st({inputs:{x:P},backend:e,attrs:{shape:[P.shape[0],1,1]}});return b.push(G),G}return P};if(w&&$.push(F(i,c)),C&&$.push(F(a,c)),N){let P=e.makeTensorInfo([],\"float32\",y.createScalarValue(d,\"float32\"));$.push(P),b.push(P)}return $};if(g.filterHeight===1&&g.filterWidth===1&&g.dilationHeight===1&&g.dilationWidth===1&&g.strideHeight===1&&g.strideWidth===1&&(g.padInfo.type===\"SAME\"||g.padInfo.type===\"VALID\"))x=uC({x:o,filter:s,convInfo:g,backend:e,bias:i,activation:f,preluActivationWeights:a,leakyreluAlpha:d});else if(g.strideWidth<=2&&h===\"channelsLast\"&&M().getBool(\"WEBGL_EXP_CONV\")){let $=f?xl(f,!0):null,F=new vd(g,w,$,C,N),P=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],V=_();x=e.runWebGLProgram(F,V,\"float32\",P)}else if(M().getBool(\"WEBGL_CONV_IM2COL\"))x=cC({x:o,filter:s,convInfo:g,backend:e,bias:i,activation:f,preluActivationWeights:a,leakyreluAlpha:d});else{let $=f?xl(f,!1):null,F=new Id(g,w,$,C,N),P=_();x=e.runWebGLProgram(F,P,\"float32\")}let A=st({inputs:{x},backend:e,attrs:{shape:g.outShape}});return b.push(x),b.forEach($=>e.disposeIntermediateTensorInfo($)),A}var zz={kernelName:wi,backendName:\"webgl\",kernelFunc:Art};function $rt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dilations:c,dimRoundingMode:p,activation:m,leakyreluAlpha:f}=n,d=[],h=c;h==null&&(h=[1,1]),y.assert(S.eitherStridesOrDilationsAreOne(u,h),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${u} and dilations '${h}'`);let g=S.computeConv2DInfo(o.shape,s.shape,u,h,l,p,!0),x=M().getBool(\"WEBGL_PACK_DEPTHWISECONV\")&&g.strideWidth<=2&&g.outChannels/g.inChannels===1,b=m?xl(m,x):null,w=[o,s],C=i!=null,N=a!=null,_=m===\"leakyrelu\";if(C&&w.push(i),N&&w.push(a),_){let P=e.makeTensorInfo([],\"float32\",y.createScalarValue(f,\"float32\"));w.push(P),d.push(P)}let A;x?A=new Nd(g,C,b,N,_):A=new Sd(g,C,b,N,_);let $=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],F=e.runWebGLProgram(A,w,\"float32\",$);return d.forEach(P=>e.disposeIntermediateTensorInfo(P)),F}var Bz={kernelName:Ci,backendName:\"webgl\",kernelFunc:$rt};var EC=class{constructor(t,e,n,o){this.sliceDim=t,this.strides=e,this.paramsShape=o,this.variableNames=[\"x\",\"indices\"],this.outputShape=n;let s=zt(n.length),i=`\n int index;`;for(let a=0;a= ${this.paramsShape[a]};\n flattenIndex += index * ${this.strides[a]};`;this.userCode=`\n void main() {\n ${s} coords = getOutputCoords();\n int flattenIndex = 0;\n bool out_of_bounds = false;\n\n ${i}\n\n setOutput(out_of_bounds ? 0.0 : getX(flattenIndex, coords[1]));\n }\n `}};function Drt(r){let{inputs:t,backend:e}=r,{params:n,indices:o}=t,s=o.shape,i=s[s.length-1],a=y.sizeFromShape(n.shape),[u,l,c,p]=S.prepareAndValidate(n,o),m=st({inputs:{x:o},backend:e,attrs:{shape:[l,i]}}),f=st({inputs:{x:n},backend:e,attrs:{shape:[y.sizeFromShape(n.shape)/c,c]}});if(e.shouldExecuteOnCPU([n,o])||n.dtype===\"string\"){let x=e.readSync(o.dataId),b=e.bufferSync(n),w=cL(x,b,n.dtype,l,i,c,p,n.shape,a);return e.makeTensorInfo(u,n.dtype,w.values)}let d=new EC(i,p,[l,c],n.shape),h=e.runWebGLProgram(d,[f,m],f.dtype),g=st({inputs:{x:h},backend:e,attrs:{shape:u}});return e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(h),g}var Vz={kernelName:ya,backendName:\"webgl\",kernelFunc:Drt};var _C=class{constructor(t,e){this.variableNames=[\"A\",\"indices\"],this.outputShape=e,this.rank=e.length;let n=zt(this.rank),o=Rrt(t,2);this.userCode=`\n void main() {\n ${n} resRC = getOutputCoords();\n int index = int(getIndices(resRC.x, resRC.z));\n float inBounds = (index >= 0) && (index < ${t[2]}) ? 1.0 : 0.0;\n setOutput(inBounds * getA(${o}));\n }\n `}};function Rrt(r,t){let e=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],n=[];for(let o=0;o=0,()=>`GatherV2: the index value ${N} is not in [0, ${w-1}]`)}}let l=S.segment_util.collectGatherOpShapeInfo(o,s,u,a),c=y.sizeFromShape(s.shape),p=[],m=st({inputs:{x:o},backend:e,attrs:{shape:[l.batchSize,l.outerSize,l.dimSize,l.sliceSize]}}),f=st({inputs:{x:s},backend:e,attrs:{shape:[l.batchSize,c/l.batchSize]}});p.push(m),p.push(f);let d=[l.batchSize,l.outerSize,c/l.batchSize,l.sliceSize];if(e.shouldExecuteOnCPU([o,s])||o.dtype===\"string\"){let b=e.bufferSync(f),w=e.bufferSync(m),C=pL(w,b,d);return p.forEach(N=>e.disposeIntermediateTensorInfo(N)),e.makeTensorInfo(l.outputShape,C.dtype,C.values)}let h=new _C(m.shape,d),g=e.runWebGLProgram(h,[m,f],m.dtype);p.push(g);let x=st({inputs:{x:g},backend:e,attrs:{shape:l.outputShape}});return p.forEach(b=>e.disposeIntermediateTensorInfo(b)),x}var Gz={kernelName:li,backendName:\"webgl\",kernelFunc:gT};var Frt=\"return float(a > b);\",Ort=`\n return vec4(greaterThan(a, b));\n`,Prt=le({opSnippet:Frt,packedOpSnippet:Ort,cpuKernelImpl:mL,dtype:\"bool\"}),Wz={kernelName:ba,backendName:\"webgl\",kernelFunc:Prt};var Lrt=\"return float(a >= b);\",Mrt=`\n return vec4(greaterThanEqual(a, b));\n`,zrt=le({opSnippet:Lrt,packedOpSnippet:Mrt,dtype:\"bool\",cpuKernelImpl:fL}),Uz={kernelName:os,backendName:\"webgl\",kernelFunc:zrt};function Brt(r){let{inputs:t,backend:e}=r,{input:n}=t;return vC(n,!0,e)}var Hz={kernelName:Ip,backendName:\"webgl\",kernelFunc:Brt};var Vrt=\"return float(!isnan(x) && !isinf(x));\",Grt=Ct({opSnippet:Vrt,dtype:\"bool\"}),qz={kernelName:wa,backendName:\"webgl\",kernelFunc:Grt};var Wrt=\"return float(isinf(x));\",Urt=Ct({opSnippet:Wrt,dtype:\"bool\"}),Kz={kernelName:Ca,backendName:\"webgl\",kernelFunc:Urt};var Hrt=\"return float(isnan(x));\",qrt=Ct({opSnippet:Hrt,dtype:\"bool\"}),jz={kernelName:Ia,backendName:\"webgl\",kernelFunc:qrt};var Krt=\"return float(a < b);\",jrt=`\n return vec4(lessThan(a, b));\n`,Xrt=le({opSnippet:Krt,packedOpSnippet:jrt,cpuKernelImpl:dL,dtype:\"bool\"}),Xz={kernelName:va,backendName:\"webgl\",kernelFunc:Xrt};var Yrt=\"return float(a <= b);\",Zrt=`\n return vec4(lessThanEqual(a, b));\n`,Jrt=le({opSnippet:Yrt,packedOpSnippet:Zrt,cpuKernelImpl:hL,dtype:\"bool\"}),Yz={kernelName:Sa,backendName:\"webgl\",kernelFunc:Jrt};function Qrt(r){let{backend:t,attrs:e}=r,{start:n,stop:o,num:s}=e,i=gL(n,o,s);return t.makeTensorInfo([i.length],\"float32\",i)}var Zz={kernelName:Sp,backendName:\"webgl\",kernelFunc:Qrt};var tnt=Oo+`\n return x < 0.0 ? 0./0. : log(x);\n`,ent=`\n vec4 result = log(x);\n bvec4 isNaN = isnan(x);\n result.r = isNaN.r ? x.r : (x.r < 0.0 ? 0./0. : result.r);\n result.g = isNaN.g ? x.g : (x.g < 0.0 ? 0./0. : result.g);\n result.b = isNaN.b ? x.b : (x.b < 0.0 ? 0./0. : result.b);\n result.a = isNaN.a ? x.a : (x.a < 0.0 ? 0./0. : result.a);\n return result;\n`,rnt=Ct({opSnippet:tnt,packedOpSnippet:ent,cpuKernelImpl:xL}),Jz={kernelName:is,backendName:\"webgl\",kernelFunc:rnt};var nnt=Oo+`\n return log(1.0 + x);\n`,ont=Ct({opSnippet:nnt}),Qz={kernelName:Na,backendName:\"webgl\",kernelFunc:ont};var snt=\"return float(a >= 1.0 && b >= 1.0);\",int=`\n return vec4(\n vec4(greaterThanEqual(a, vec4(1.0))) *\n vec4(greaterThanEqual(b, vec4(1.0))));\n`,ant=le({opSnippet:snt,packedOpSnippet:int,dtype:\"bool\"}),t3={kernelName:ka,backendName:\"webgl\",kernelFunc:ant};var lnt=\"return float(!(x >= 1.0));\",unt=Ct({opSnippet:lnt}),e3={kernelName:Ta,backendName:\"webgl\",kernelFunc:unt};var cnt=\"return float(a >= 1.0 || b >= 1.0);\",pnt=`\n return min(\n vec4(greaterThanEqual(a, vec4(1.0))) +\n vec4(greaterThanEqual(b, vec4(1.0))),\n vec4(1.0));\n`,mnt=le({opSnippet:cnt,packedOpSnippet:pnt,dtype:\"bool\"}),r3={kernelName:Ea,backendName:\"webgl\",kernelFunc:mnt};var AC=class{constructor(t,e,n,o,s){this.variableNames=[\"x\"],this.outputShape=[];let i=e,a=t[3]-1;this.outputShape=t;let u,l=`float(${n}) + float(${o}) * sum`;s===.5?u=`inversesqrt(${l})`:s===1?u=`1.0/(${l})`:u=`exp(log(${l}) * float(-${s}));`,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int r = coords[1];\n int c = coords[2];\n int d = coords[3];\n float x = getX(b, r, c, d);\n float sum = 0.0;\n for (int j = -${i}; j <= ${i}; j++) {\n int idx = d + j;\n if (idx >= 0 && idx <= ${a}) {\n float z = getX(b, r, c, idx);\n sum += z * z;\n }\n }\n float val = x * ${u};\n setOutput(val);\n }\n `}};var $C=class{constructor(t,e,n,o,s){this.variableNames=[\"x\"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let i=e,a=t[3]-1;this.outputShape=t;let u,l=`float(${n}) + float(${o}) * sum`;s===.5?u=`inversesqrt(${l})`:s===1?u=`1.0/(${l})`:u=`exp(log(${l}) * float(-${s}));`,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords.x;\n int r = coords.y;\n int c = coords.z;\n int d = coords.w;\n\n bool hasNextCol = d < ${this.outputShape[3]};\n bool hasNextRow = c < ${this.outputShape[2]};\n\n vec4 sum = vec4(0.);\n vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n vec4 xAtOutputCoords = vec4(\n getChannel(xFragAtOutputCoords, vec2(c, d)),\n hasNextCol ?\n getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n hasNextRow ?\n getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n (hasNextRow && hasNextCol) ?\n getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n );\n\n int firstChannel = d - ${i};\n vec2 cache = vec2(0.);\n if(firstChannel >= 0){\n vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n if(hasNextRow){\n cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n }\n }\n\n ivec2 depth = ivec2(d, d + 1);\n for (int j = - ${i}; j <= ${i}; j++) {\n ivec2 idx = depth + j;\n bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n bvec2 belowUpperBound = lessThanEqual(idx, ivec2(${a}));\n\n bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n if(depthInRange || depthPlusOneInRange){\n vec4 z = vec4(0.);\n vec4 xFragAtCurrentDepth;\n z.xz = cache.xy;\n if(depthPlusOneInRange && hasNextCol){\n xFragAtCurrentDepth = idx.y != d ?\n getX(b, r, c, idx.y) : xFragAtOutputCoords;\n z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n if(hasNextRow){\n z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n }\n }\n cache.xy = z.yw;\n sum += z * z;\n }\n }\n vec4 result = xAtOutputCoords * ${u};\n setOutput(result);\n }\n `}};var fnt=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{depthRadius:s,bias:i,alpha:a,beta:u}=n,l=M().getBool(\"WEBGL_PACK_NORMALIZATION\")?new $C(o.shape,s,i,a,u):new AC(o.shape,s,i,a,u);return e.runWebGLProgram(l,[o],o.dtype)},n3={kernelName:$l,backendName:\"webgl\",kernelFunc:fnt};var DC=class{constructor(t,e,n,o,s){this.variableNames=[\"inputImage\",\"outputImage\",\"dy\"],this.outputShape=[],this.outputShape=t,this.depth=t[3],this.depthRadius=e,this.bias=n,this.alpha=o,this.beta=s,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int r = coords[1];\n int c = coords[2];\n\n float result = 0.0;\n for (int d = 0; d < ${this.depth}; ++d) {\n int depthBegin = int(max(0.0, float(d - ${e})));\n int depthEnd = int(min(float(${this.depth}),\n float(d + ${e} + 1)));\n\n const int MIN_DEPTH_BEGIN = 0;\n const int MAX_DEPTH_END = ${this.depth};\n\n float norm = 0.0;\n for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n if (k < depthBegin){\n continue;\n }\n else if (k >= depthBegin && k < depthEnd) {\n norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n }\n else {\n break;\n }\n }\n\n norm = float(${o}) * norm + float(${n});\n\n for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n if (k < depthBegin){\n continue;\n }\n else if (k >= depthBegin && k < depthEnd){\n float dyi = -2.0 * float(${o})\n * float(${s})\n * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n / norm;\n if (k == d) {\n dyi += pow(norm, -1.0 * ${s});\n }\n if (k == coords[3]) {\n dyi *= getDy(b, r, c, d);\n result += dyi;\n }\n }\n else {\n break;\n }\n }\n }\n setOutput(result);\n }\n `}};var dnt=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o,y:s,dy:i}=t,{depthRadius:a,bias:u,alpha:l,beta:c}=n,p=new DC(o.shape,a,u,l,c);return e.runWebGLProgram(p,[o,s,i],o.dtype)},o3={kernelName:Np,backendName:\"webgl\",kernelFunc:dnt};function s3(r,t,e,n){let o=y.sizeFromShape(t),i=y.sizeFromShape(r.shape)/o,a=st({inputs:{x:r},attrs:{shape:[i,o]},backend:n}),u=Gn(a,r.dtype,\"max\",n),l=st({inputs:{x:u},attrs:{shape:e},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(u),l}function xT(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{reductionIndices:s,keepDims:i}=n,a=o.shape.length,u=y.parseAxisParam(s,o.shape),l=u,c=S.getAxesPermutation(l,a),p=c!=null,m=e.shouldExecuteOnCPU([o]),f=o;if(p){if(m){let w=e.texData.get(f.dataId).values,C=new Array(a);for(let A=0;A`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);let c=S.computePool2DInfo(o.shape,s,i,l,a,u);if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))return tr({inputs:{x:o},backend:e});let p=new Qs(c,\"max\",!1);return e.runWebGLProgram(p,[o],o.dtype)}var l3={kernelName:us,backendName:\"webgl\",kernelFunc:ynt};function bnt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{filterSize:s,strides:i,pad:a,dataFormat:u,dimRoundingMode:l}=n,c=[1,1,1],p=S.computePool3DInfo(o.shape,s,i,c,a,l,u),m=new Au(p,\"max\",!1);return e.runWebGLProgram(m,[o],o.dtype)}var u3={kernelName:Dl,backendName:\"webgl\",kernelFunc:bnt};var RC=class{constructor(t){this.variableNames=[\"dy\",\"maxPos\"],this.outputShape=t.inShape;let e=t.strideHeight,n=t.strideWidth,o=t.dilationHeight,s=t.effectiveFilterHeight,i=t.effectiveFilterWidth,a=s-1-t.padInfo.top,u=i-1-t.padInfo.left,l=s*i-1;this.userCode=`\n const ivec2 pads = ivec2(${a}, ${u});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n\n ivec2 dyRCCorner = coords.yz - pads;\n int dyRCorner = dyRCCorner.x;\n int dyCCorner = dyRCCorner.y;\n\n // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${s};\n wR += ${o}) {\n float dyR = float(dyRCorner + wR) / ${e}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${i}; wC++) {\n float dyC = float(dyCCorner + wC) / ${n}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(b, idyR, idyC, d);\n int maxPosValue = ${l} - int(getMaxPos(b, idyR, idyC, d));\n\n // Get the current value, check it against the value from the\n // position matrix.\n int curPosValue = wR * ${i} + wC;\n float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n dotProd += dyValue * mask;\n }\n }\n setOutput(dotProd);\n }\n `}},FC=class{constructor(t){this.variableNames=[\"dy\",\"maxPos\"],this.outputShape=t.inShape;let e=t.strideDepth,n=t.strideHeight,o=t.strideWidth,s=t.dilationDepth,i=t.dilationHeight,a=t.dilationWidth,u=t.effectiveFilterDepth,l=t.effectiveFilterHeight,c=t.effectiveFilterWidth,p=u-1-t.padInfo.front,m=l-1-t.padInfo.top,f=c-1-t.padInfo.left,d=u*l*c-1;this.userCode=`\n const ivec3 pads = ivec3(${p}, ${m}, ${f});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyDCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n // dx(xD, xR, xC, ch).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int wD = 0; wD < ${u};\n wD += ${s}) {\n float dyD = float(dyDCorner + wD) / ${e}.0;\n\n if (dyD < 0.0 || dyD >= ${t.outDepth}.0 || fract(dyD) > 0.0) {\n continue;\n }\n int idyD = int(dyD);\n\n for (int wR = 0; wR < ${l};\n wR += ${i}) {\n float dyR = float(dyRCorner + wR) / ${n}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${c};\n wC += ${a}) {\n float dyC = float(dyCCorner + wC) / ${o}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n int maxPosValue = ${d} -\n int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n // Get the current value, check it against the value from the\n // position matrix.\n int curPosValue =\n wD * ${l} * ${c} +\n wR * ${c} + wC;\n float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n dotProd += dyValue * mask;\n }\n }\n }\n setOutput(dotProd);\n }\n `}};function wnt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s,{filterSize:a,strides:u,pad:l,dimRoundingMode:c}=n,p=[1,1,1],m=S.computePool3DInfo(i.shape,a,u,p,l,c),f=new Au(m,\"max\",!0),d=e.runWebGLProgram(f,[i],i.dtype),h=new FC(m),g=e.runWebGLProgram(h,[o,d],i.dtype);return e.disposeIntermediateTensorInfo(d),g}var c3={kernelName:Tp,backendName:\"webgl\",kernelFunc:wnt};function Cnt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s,output:i}=t,a=s;Zs([s,i],\"maxPoolGrad\");let{filterSize:u,strides:l,pad:c,dimRoundingMode:p}=n,m=S.computePool2DInfo(a.shape,u,l,1,c,p),f=!0,d=new Qs(m,\"max\",f),h=e.runWebGLProgram(d,[a],a.dtype),g=new RC(m),x=e.runWebGLProgram(g,[o,h],a.dtype);return e.disposeIntermediateTensorInfo(h),x}var p3={kernelName:kp,backendName:\"webgl\",kernelFunc:Cnt};function m3(r,t,e,n){let o=new Qs(e,\"max\",!1),s=n.runWebGLProgram(o,[r],\"float32\");o=new Qs(e,\"max\",!0,!0,t);let i=n.runWebGLProgram(o,[r],\"float32\");return[s,i]}var f3={kernelName:Ep,backendName:\"webgl\",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{x:n}=r,{filterSize:o,strides:s,pad:i,includeBatchInIndex:a}=t,u=e;y.assert(n.shape.length===4,()=>`Error in maxPool: input must be rank 4 but got rank ${n.shape.length}.`);let l=[1,1];y.assert(S.eitherStridesOrDilationsAreOne(s,l),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${l}'`);let c=S.computePool2DInfo(n.shape,o,s,l,i),[p,m]=m3(n,a,c,u);return[p,m]}};function d3(r,t,e,n){let o=y.sizeFromShape(t),i=y.sizeFromShape(r.shape)/o,a=st({inputs:{x:r},attrs:{shape:[i,o]},backend:n}),u=Gn(a,\"float32\",\"mean\",n),l=st({inputs:{x:u},attrs:{shape:e},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(u),l}var h3={kernelName:cs,backendName:\"webgl\",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{x:n}=r,{keepDims:o,axis:s}=t,i=e,a=n.shape.length,u=y.parseAxisParam(s,n.shape),l=u,c=S.getAxesPermutation(l,a),p=c!=null,m=i.shouldExecuteOnCPU([n]),f=[],d=n;if(p){if(m){let C=i.texData.get(d.dataId).values,N=new Array(a);for(let $=0;$c[0]+t[p]+c[1]);let o=t.length,s=zt(o),i=e.map(c=>c[0]).join(\",\"),a=e.map((c,p)=>c[0]+t[p]).join(\",\"),u=[\"coords[0]\",\"coords[1]\",\"coords[2]\",\"coords[3]\"].slice(0,o),l=n===\"reflect\"?0:1;if(o===1){this.userCode=`\n int start = ${i};\n int end = ${a};\n\n void main() {\n int outC = getOutputCoords();\n if (outC < start) {\n outC = start * 2 - outC - ${l};\n } else if(outC >= end) {\n outC = (end - 1) * 2 - outC + ${l};\n }\n setOutput(getX(outC - start));\n }\n `;return}this.userCode=`\n ${s} start = ${s}(${i});\n ${s} end = ${s}(${a});\n\n void main() {\n ${s} outC = getOutputCoords();\n for (int i = 0; i < ${o}; i++) {\n if (outC[i] < start[i]) {\n outC[i] = start[i] * 2 - outC[i] - ${l};\n } else if(outC[i] >= end[i]) {\n outC[i] = (end[i] - 1) * 2 - outC[i] + ${l};\n }\n }\n ${s} coords = outC - start;\n setOutput(getX(${u}));\n }\n `}};var PC=class{constructor(t,e,n){this.variableNames=[\"x\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.map((d,h)=>d[0]+t[h]+d[1]);let o=t.length,s=zt(o),i=e.map(d=>d[0]).join(\",\"),a=e.map((d,h)=>d[0]+t[h]).join(\",\"),u=Qe(\"rc\",o),l=Qe(\"source\",o),c=`${u[o-1]} < ${this.outputShape[o-1]}`,p=o===1?\"source\":`vec2(${l.slice(-2).join()})`,m=n===\"reflect\"?0:1,f=\"\";if(o===1){let d=`\n ${s} source = rc;\n if (source < start) {\n source = start * 2 - source - ${m};\n } else if (source >= end) {\n source = (end - 1) * 2 - source + ${m};\n }\n source -= start;\n `;f=`\n ${s} rc = outputLoc;\n ${d}\n result[0] = getChannel(getX(${l.join()}), ${p});\n ${u[o-1]} += 1;\n if(${c}) {\n ${d}\n result[1] = getChannel(getX(${l.join()}), ${p});\n }\n `}else{let d=`\n ${s} source = rc;\n ${s} lt = ${s}(lessThan(source, start));\n ${s} gte = ${s}(greaterThanEqual(source, end));\n ${s} orig = 1 - (lt + gte);\n source = orig * source +\n lt * (start * 2 - source - ${m}) +\n gte * ((end - 1) * 2 - source + ${m});\n source -= start;\n `;f=`\n ${s} rc = outputLoc;\n ${d}\n result[0] = getChannel(getX(${l.join()}), ${p});\n ${u[o-1]} += 1;\n if(${c}) {\n ${d}\n result[1] = getChannel(getX(${l.join()}), ${p});\n }\n rc = outputLoc;\n ${u[o-2]} += 1;\n if(${u[o-2]} < ${this.outputShape[o-2]}) {\n ${d}\n result[2] = getChannel(getX(${l.join()}), ${p});\n ${u[o-1]} += 1;\n if(${c}) {\n ${d}\n result[3] = getChannel(getX(${l.join()}), ${p});\n }\n }\n `}this.userCode=`\n const ${s} start = ${s}(${i});\n const ${s} end = ${s}(${a});\n\n void main() {\n ${s} outputLoc = getOutputCoords();\n vec4 result = vec4(0.);\n ${f}\n setOutput(result);\n }\n `}};var knt=({inputs:r,backend:t,attrs:e})=>{let{x:n}=r,{paddings:o,mode:s}=e,i=M().getBool(\"WEBGL_PACK_ARRAY_OPERATIONS\")?new PC(n.shape,o,s):new OC(n.shape,o,s);return t.runWebGLProgram(i,[n],n.dtype)},y3={kernelName:fs,backendName:\"webgl\",kernelFunc:knt};var Tnt=`if (b == 0.0) return NAN;\n return mod(a, b);`,Ent=`\n vec4 result = mod(a, b);\n bvec4 isNaN = equal(b, vec4(0.0));\n `+ji+`\n return result;\n`,_nt=le({opSnippet:Tnt,packedOpSnippet:Ent}),b3={kernelName:_a,backendName:\"webgl\",kernelFunc:_nt};var LC=class{constructor(t,e,n){this.variableNames=[\"probs\"],this.customUniforms=[{name:\"seed\",type:\"float\"}],this.outputShape=[t,n],this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n\n float r = random(seed);\n float cdf = 0.0;\n\n for (int i = 0; i < ${e-1}; i++) {\n cdf += getProbs(batch, i);\n\n if (r < cdf) {\n setOutput(float(i));\n return;\n }\n }\n\n // If no other event happened, last event happened.\n setOutput(float(${e-1}));\n }\n `}};var Ant=`\nif (a == b) {\n return 1.0;\n};\nreturn a / b;`,$nt=`\n // vec4 one = vec4(equal(a, b));\n // return one + (vec4(1.0) - one) * a / b;\n vec4 result = a / b;\n if(a.x == b.x) {\n result.x = 1.;\n }\n if(a.y == b.y) {\n result.y = 1.;\n }\n if(a.z == b.z) {\n result.z = 1.;\n }\n if(a.w == b.w) {\n result.w = 1.;\n }\n\n return result;\n`,yT=le({opSnippet:Ant,packedOpSnippet:$nt,checkOutOfBounds:!0}),w3={kernelName:Jo,backendName:\"webgl\",kernelFunc:yT};var C3=\"return a - b;\",bT=le({opSnippet:C3,packedOpSnippet:C3,supportsComplex:!0,cpuKernelImpl:zL}),I3={kernelName:Rs,backendName:\"webgl\",kernelFunc:bT};function wT(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{dim:s}=n,i=y.parseAxisParam([s],o.shape),a=xT({inputs:{x:o},backend:e,attrs:{reductionIndices:i,keepDims:!1}}),u=S.expandShapeToKeepDim(a.shape,i),l=st({inputs:{x:a},backend:e,attrs:{shape:u}}),c=bT({inputs:{a:o,b:l},backend:e}),p=dT({inputs:{x:c},backend:e}),m=Wc({inputs:{x:p},backend:e,attrs:{axis:i,keepDims:!1}}),f=st({inputs:{x:m},backend:e,attrs:{shape:u}}),d=yT({inputs:{a:p,b:f},backend:e});return e.disposeIntermediateTensorInfo(a),e.disposeIntermediateTensorInfo(l),e.disposeIntermediateTensorInfo(c),e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f),d}var v3={kernelName:$s,backendName:\"webgl\",kernelFunc:wT};function Dnt(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{numSamples:s,seed:i,normalized:a}=n,u=a?o:wT({inputs:{logits:o},backend:e,attrs:{dim:o.shape.length-1}}),l=u.shape[0],c=u.shape[1],p=new LC(l,c,s),m=[[i]],f=e.runWebGLProgram(p,[u],\"int32\",m);return a||e.disposeIntermediateTensorInfo(u),f}var S3={kernelName:_p,backendName:\"webgl\",kernelFunc:Dnt};var Rnt=pr+`\n return -x;\n`,Fnt=`\n vec4 result = -x;\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`;function Ont(r){let{inputs:t,backend:e}=r,{x:n}=t;if(e.shouldExecuteOnCPU([n])){let s=e.texData.get(n.dataId),[i,a]=IL(s.values,n.shape,n.dtype);return e.makeTensorInfo(a,n.dtype,i)}let o;return M().getBool(\"WEBGL_PACK_UNARY_OPERATIONS\")?o=new no(n.shape,Fnt):o=new tn(n.shape,Rnt),e.runWebGLProgram(o,[n],n.dtype)}var N3={kernelName:ui,backendName:\"webgl\",kernelFunc:Ont};var Pnt=Wr.nonMaxSuppressionV3Impl;function Lnt(r){S.warn(\"tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead\");let{inputs:t,backend:e,attrs:n}=r,{boxes:o,scores:s}=t,{maxOutputSize:i,iouThreshold:a,scoreThreshold:u}=n,l=e.readSync(o.dataId),c=e.readSync(s.dataId),{selectedIndices:p}=Pnt(l,c,i,a,u);return e.makeTensorInfo([p.length],\"int32\",new Int32Array(p))}var k3={kernelName:$a,backendName:\"webgl\",kernelFunc:Lnt};var Mnt=Wr.nonMaxSuppressionV4Impl;function znt(r){S.warn(\"tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead\");let{inputs:t,backend:e,attrs:n}=r,{boxes:o,scores:s}=t,{maxOutputSize:i,iouThreshold:a,scoreThreshold:u,padToMaxOutputSize:l}=n,c=e.readSync(o.dataId),p=e.readSync(s.dataId),{selectedIndices:m,validOutputs:f}=Mnt(c,p,i,a,u,l);return[e.makeTensorInfo([m.length],\"int32\",new Int32Array(m)),e.makeTensorInfo([],\"int32\",new Int32Array([f]))]}var T3={kernelName:Da,backendName:\"webgl\",kernelFunc:znt};var Bnt=Wr.nonMaxSuppressionV5Impl;function Vnt(r){S.warn(\"tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead\");let{inputs:t,backend:e,attrs:n}=r,{boxes:o,scores:s}=t,{maxOutputSize:i,iouThreshold:a,scoreThreshold:u,softNmsSigma:l}=n,c=e.readSync(o.dataId),p=e.readSync(s.dataId),m=i,f=a,d=u,h=l,{selectedIndices:g,selectedScores:x}=Bnt(c,p,m,f,d,h);return[e.makeTensorInfo([g.length],\"int32\",new Int32Array(g)),e.makeTensorInfo([x.length],\"float32\",new Float32Array(x))]}var E3={kernelName:Ra,backendName:\"webgl\",kernelFunc:Vnt};var MC=class{constructor(t,e,n,o){this.variableNames=[\"indices\"],this.outputShape=[t,e],this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int index = round(getIndices(coords.x));\n setOutput(mix(float(${o}), float(${n}),\n float(index == coords.y)));\n }\n `}};var Gnt=r=>{let{inputs:t,backend:e,attrs:n}=r,{indices:o}=t,{dtype:s,depth:i,onValue:a,offValue:u}=n,l=y.sizeFromShape(o.shape),c=new MC(l,i,a,u),p=st({inputs:{x:o},backend:e,attrs:{shape:[l]}}),m=e.runWebGLProgram(c,[p],s);e.disposeIntermediateTensorInfo(p);let f=[...o.shape,i],d=st({inputs:{x:m},backend:e,attrs:{shape:f}});return e.disposeIntermediateTensorInfo(m),d},_3={kernelName:hs,backendName:\"webgl\",kernelFunc:Gnt};function tg(r){let{inputs:t,backend:e}=r,{x:n}=t;if(n.dtype===\"complex64\"){let o=yl({inputs:{input:n},backend:e}),s=tg({inputs:{x:o},backend:e}),i=Hc({inputs:{input:n},backend:e}),a=tg({inputs:{x:i},backend:e}),u=Tn({inputs:{real:s,imag:a},backend:e});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(s),e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(a),u}else return bl({attrs:{shape:n.shape,dtype:n.dtype,value:n.dtype===\"string\"?\"\":0},backend:e})}var A3={kernelName:yi,backendName:\"webgl\",kernelFunc:tg};function $3(r){let{inputs:t,backend:e}=r,{x:n}=t;if(n.dtype===\"string\")throw new Error(\"onesLike is not supported under string dtype\");if(n.dtype===\"complex64\"){let o=yl({inputs:{input:n},backend:e}),s=$3({inputs:{x:o},backend:e}),i=Hc({inputs:{input:n},backend:e}),a=tg({inputs:{x:i},backend:e}),u=Tn({inputs:{real:s,imag:a},backend:e});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(s),e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(a),u}else return bl({attrs:{shape:n.shape,dtype:n.dtype,value:1},backend:e})}var D3={kernelName:ci,backendName:\"webgl\",kernelFunc:$3};function Wnt(r){let{inputs:t,backend:e,attrs:n}=r,{axis:o}=n;if(t.length===1)return IC({inputs:{input:t[0]},backend:e,attrs:{dim:o}});let s=t[0].shape,i=t[0].dtype;t.forEach(c=>{y.assertShapesMatch(s,c.shape,\"All tensors passed to stack must have matching shapes\"),y.assert(i===c.dtype,()=>\"All tensors passed to stack must have matching dtypes\")});let a=[],u=t.map(c=>{let p=IC({inputs:{input:c},backend:e,attrs:{dim:o}});return a.push(p),p}),l=fT({inputs:u,backend:e,attrs:{axis:o}});return a.forEach(c=>e.disposeIntermediateTensorInfo(c)),l}var R3={kernelName:pi,backendName:\"webgl\",kernelFunc:Wnt};var zC=class{constructor(t,e,n){this.variableNames=[\"x\"],this.customUniforms=[{name:\"value\",type:\"float\"}],this.outputShape=e.map((l,c)=>l[0]+t[c]+l[1]);let o=t.length,s=zt(o),i=e.map(l=>l[0]).join(\",\"),a=e.map((l,c)=>l[0]+t[c]).join(\",\"),u=[\"coords[0]\",\"coords[1]\",\"coords[2]\",\"coords[3]\"].slice(0,o);if(o===1){this.userCode=`\n int start = ${i};\n int end = ${a};\n\n void main() {\n int outC = getOutputCoords();\n if (outC < start || outC >= end) {\n setOutput(value);\n } else {\n setOutput(getX(outC - start));\n }\n }\n `;return}this.userCode=`\n ${s} start = ${s}(${i});\n ${s} end = ${s}(${a});\n\n void main() {\n ${s} outC = getOutputCoords();\n if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n setOutput(value);\n } else {\n ${s} coords = outC - start;\n setOutput(getX(${u}));\n }\n }\n `}};var BC=class{constructor(t,e,n){this.variableNames=[\"x\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"value\",type:\"float\"}],this.outputShape=e.map((h,g)=>h[0]+t[g]+h[1]);let o=t.length,s=zt(o),i=e.map(h=>h[0]).join(\",\"),a=e.map((h,g)=>h[0]+t[g]).join(\",\"),u=Qe(\"rc\",o),l=Qe(\"source\",o),c=`${u[o-1]} < ${this.outputShape[o-1]}`,p=o===1?\"source\":`vec2(${l.slice(-2).join()})`,m=[`${s} rc = outputLoc;`,`${u[o-1]} += 1;\n if(${c}) {\n `,o===1?\"\":`}\n rc = outputLoc;\n ${u[o-2]} += 1;\n if(${u[o-2]} < ${this.outputShape[o-2]}) {`,o===1?\"\":` ${u[o-1]} += 1;\n if(${c}) {`],f=o===1?\"rc < start || rc >= end\":\"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))\",d=\"\";for(let h=0,g=o===1?2:4;h{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{paddings:s,constantValue:i}=n;if(y.sizeFromShape(o.shape)===0){let l=s.map((c,p)=>c[0]+o.shape[p]+c[1]);return bl({backend:e,attrs:{shape:l,value:i,dtype:o.dtype}})}let a=M().getBool(\"WEBGL_PACK_ARRAY_OPERATIONS\")?new BC(o.shape,s,i):new zC(o.shape,s,i),u=[[i]];return e.runWebGLProgram(a,[o],o.dtype,u)},F3={kernelName:gs,backendName:\"webgl\",kernelFunc:CT};var Unt=`\n if(a < 0.0 && floor(b) < b){\n return NAN;\n }\n if (b == 0.0) {\n return 1.0;\n }\n return (round(mod(b, 2.0)) != 1) ?\n pow(abs(a), b) : sign(a) * pow(abs(a), b);\n`,Hnt=`\n // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n vec4 result = multiplier * pow(abs(a), b);\n\n // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n bvec4 isExpZero = equal(b, vec4(0.0));\n result.r = isExpZero.r ? 1.0 : result.r;\n result.g = isExpZero.g ? 1.0 : result.g;\n result.b = isExpZero.b ? 1.0 : result.b;\n result.a = isExpZero.a ? 1.0 : result.a;\n\n bvec4 isNaN1 = lessThan(a, vec4(0.0));\n bvec4 isNaN2 = lessThan(floor(b), b);\n bvec4 isNaN = bvec4(isNaN1.x && isNaN2.x, isNaN1.y && isNaN2.y, isNaN1.z && isNaN2.z, isNaN1.w && isNaN2.w);\n `+ji+`\n return result;\n`,qnt=le({opSnippet:Unt,packedOpSnippet:Hnt}),O3={kernelName:xs,backendName:\"webgl\",kernelFunc:qnt};function Knt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=[],l=y.parseAxisParam(s,o.shape),c=l,p=S.getAxesPermutation(c,a),m=o;p!=null&&(m=Fe({inputs:{x:o},backend:e,attrs:{perm:p}}),c=S.getInnerMostAxes(c.length,a),u.push(m)),S.assertAxesAreInnerMostDims(\"prod\",c,a);let f;if(e.shouldExecuteOnCPU([m])){let d=e.texData.get(m.dataId).values,{outVals:h,outShape:g,outDtype:x}=SL(m.shape,m.dtype,d,c);f=e.makeTensorInfo(g,x,h)}else{let[d,h]=S.computeOutAndReduceShapes(m.shape,c),g=y.sizeFromShape(h),x=st({inputs:{x:m},backend:e,attrs:{shape:[-1,g]}}),b=Gu(o.dtype),w=Gn(x,b,\"prod\",e);f=st({inputs:{x:w},backend:e,attrs:{shape:d}}),u.push(x),u.push(w)}if(i){u.push(f);let d=S.expandShapeToKeepDim(f.shape,l);f=st({inputs:{x:f},backend:e,attrs:{shape:d}})}return u.forEach(d=>e.disposeIntermediateTensorInfo(d)),f}var P3={kernelName:bs,backendName:\"webgl\",kernelFunc:Knt};function jnt(r){let{inputs:t,backend:e,attrs:n}=r,{paramsNestedSplits:o,paramsDenseValues:s,indices:i}=t,{outputRaggedRank:a}=n,u=o.map(x=>e.readSync(x.dataId)),l=o.map(x=>x.shape),c=e.readSync(s.dataId),p=e.readSync(i.dataId),[m,f,d]=NL(u,l,c,s.shape,s.dtype,p,i.shape,a),h=m.map(x=>e.makeTensorInfo([x.length],\"int32\",x)),g=e.makeTensorInfo(d,s.dtype,f);return h.concat([g])}var L3={kernelName:Ap,backendName:\"webgl\",kernelFunc:jnt};function Xnt(r){let{inputs:t,backend:e,attrs:n}=r,{shape:o,values:s,defaultValue:i,rowPartitionTensors:a}=t,{rowPartitionTypes:u}=n,l=e.readSync(o.dataId),c=e.readSync(s.dataId),p=e.readSync(i.dataId),m=a.map(g=>e.readSync(g.dataId)),f=a.map(g=>g.shape),[d,h]=kL(l,o.shape,c,s.shape,s.dtype,p,i.shape,m,f,u);return e.makeTensorInfo(d,s.dtype,h)}var M3={kernelName:$p,backendName:\"webgl\",kernelFunc:Xnt};var IT=r=>{let{backend:t,attrs:e}=r,{start:n,stop:o,step:s,dtype:i}=e,a=TL(n,o,s,i);return t.makeTensorInfo([a.length],i,a)},z3={kernelName:Rl,backendName:\"webgl\",kernelFunc:IT};var Ynt=\"return 1.0 / x;\",Znt=Ct({opSnippet:Ynt}),B3={kernelName:Fa,backendName:\"webgl\",kernelFunc:Znt};var Jnt=pr+`\n return (x < 0.0) ? 0.0 : x;\n`,Qnt=`\n vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,tot=Ct({opSnippet:Jnt,packedOpSnippet:Qnt}),V3={kernelName:ws,backendName:\"webgl\",kernelFunc:tot};var eot=pr+`\n return (x < 0.0) ? 0.0 : min(6.0, x);\n`,rot=`\n vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,not=Ct({opSnippet:eot,packedOpSnippet:rot}),G3={kernelName:vs,backendName:\"webgl\",kernelFunc:not};var VC=class{constructor(t,e,n,o,s){this.variableNames=[\"A\"],this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m;s?m=\"(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)\":m=\"vec2(yRC) * effectiveInputOverOutputRatioRC\",this.userCode=`\n const vec2 effectiveInputOverOutputRatioRC = vec2(\n ${c[0]/p[0]},\n ${c[1]/p[1]});\n const vec2 inputShapeRC = vec2(${a}.0, ${u}.0);\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n ivec2 yRC = coords.yz;\n\n // Fractional source index.\n vec2 sourceFracIndexRC = ${m};\n\n // Compute the four integer indices.\n ivec2 sourceFloorRC = ivec2(max(sourceFracIndexRC, vec2(0.0)));\n ivec2 sourceCeilRC = ivec2(\n min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n float top = topLeft + (topRight - topLeft) * fracRC.y;\n float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n float newValue = top + (bottom - top) * fracRC.x;\n\n setOutput(newValue);\n }\n `}};var GC=class{constructor(t,e,n,o,s){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m;s?m=\"(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)\":m=\"vec3(yRC) * effectiveInputOverOutputRatioRC\",this.userCode=`\n const vec3 effectiveInputOverOutputRatioRC = vec3(\n ${c[0]/p[0]},\n ${c[1]/p[1]},\n ${c[1]/p[1]});\n const vec3 inputShapeRC = vec3(${a}.0, ${u}.0,\n ${u}.0);\n\n float getAValue(int b, int r, int c, int d) {\n return getChannel(getA(b, r, c, d), vec2(c, d));\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n // Calculate values for next column in yRC.z.\n ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n // Fractional source index.\n vec3 sourceFracIndexRC = ${m};\n\n // Compute the four integer indices.\n ivec3 sourceFloorRC = ivec3(max(sourceFracIndexRC, vec3(0.0)));\n ivec3 sourceCeilRC = ivec3(\n min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n // Should we calculate next column and row elements in 2x2 packed cell.\n bool hasNextCol = d < ${l-1};\n bool hasNextRow = coords.z < ${n-1};\n\n // In parallel, construct four corners for all four components in\n // packed 2x2 cell.\n vec4 topLeft = vec4(\n getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n vec4 bottomLeft = vec4(\n getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n vec4 topRight = vec4(\n getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n vec4 bottomRight = vec4(\n getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n vec4 newValue = mix(top, bottom, fracRC.x);\n\n setOutput(newValue);\n }\n `}};function oot(r){let{inputs:t,backend:e,attrs:n}=r,{images:o}=t,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,c=M().getBool(\"WEBGL_PACK_IMAGE_OPERATIONS\")?new GC(o.shape,u,l,s,i):new VC(o.shape,u,l,s,i);return e.runWebGLProgram(c,[o],\"float32\")}var W3={kernelName:Is,backendName:\"webgl\",kernelFunc:oot};var WC=class{constructor(t,e,n){this.variableNames=[\"dy\"],this.outputShape=[],this.outputShape=e;let[,o,s]=e,[,i,a]=t,u=[n&&i>1?o-1:o,n&&a>1?s-1:s],l=[n&&i>1?i-1:i,n&&a>1?a-1:a],c=u[0]/l[0],p=u[1]/l[1],m=1/c,f=1/p,d=Math.ceil(m)*2+2,h=Math.ceil(f)*2+2;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n int r = coords[1];\n int c = coords[2];\n\n float accumulator = 0.0;\n\n const float heightScale = float(${c});\n const float widthScale = float(${p});\n\n const float invHeightScale = float(${m});\n const float invWidthScale = float(${f});\n\n const int winHeight = int(${d});\n const int winWidth = int(${h});\n\n // Compute bounds for where in dy we will look\n float startRLerp = floor(float(r) * invHeightScale);\n int startDyR = int(startRLerp - float(winHeight / 2));\n\n float startCLerp = floor(float(c) * invWidthScale);\n int startDyC = int(startCLerp - float(winWidth / 2));\n\n // Loop over dy\n for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n int dyR = dyROffset + startDyR;\n\n // Guard against the window exceeding the bounds of dy\n if (dyR < 0 || dyR >= ${i}) {\n continue;\n }\n\n for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n int dyC = dyCOffset + startDyC;\n\n // Guard against the window exceeding the bounds of dy\n if (dyC < 0 || dyC >= ${a}) {\n continue;\n }\n\n float dxR = float(dyR) * heightScale;\n int topDxRIndex = int(floor(dxR));\n int bottomDxRIndex = int(min(ceil(dxR), ${o-1}.0));\n float dxRLerp = dxR - float(topDxRIndex);\n float inverseDxRLerp = 1.0 - dxRLerp;\n\n float dxC = float(dyC) * widthScale;\n int leftDxCIndex = int(floor(dxC));\n int rightDxCIndex = int(min(ceil(dxC), ${s-1}.0));\n float dxCLerp = dxC - float(leftDxCIndex);\n float inverseDxCLerp = 1.0 - dxCLerp;\n\n if (r == topDxRIndex && c == leftDxCIndex) {\n // topLeft\n accumulator +=\n getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n }\n\n if (r == topDxRIndex && c == rightDxCIndex) {\n // topRight\n accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n }\n\n if (r == bottomDxRIndex && c == leftDxCIndex) {\n // bottomLeft\n accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n }\n\n if (r == bottomDxRIndex && c == rightDxCIndex) {\n // bottomRight\n accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n }\n }\n }\n // End loop over dy\n\n setOutput(accumulator);\n }\n `}};function sot(r){let{inputs:t,backend:e,attrs:n}=r,{images:o,dy:s}=t,{alignCorners:i}=n,a=new WC(s.shape,o.shape,i);return e.runWebGLProgram(a,[s],s.dtype)}var U3={kernelName:Fp,backendName:\"webgl\",kernelFunc:sot};var UC=class{constructor(t,e,n,o,s){this.variableNames=[\"A\"],this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m=o?\"0.5\":\"0.0\",f;s?f=\"max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))\":f=\"vec2(yRC) * effectiveInputOverOutputRatioRC\",this.userCode=`\n const vec2 effectiveInputOverOutputRatioRC = vec2(\n ${c[0]/p[0]},\n ${c[1]/p[1]});\n const vec2 inputShapeRC = vec2(${a}.0, ${u}.0);\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n ivec2 yRC = coords.yz;\n\n // Fractional source index.\n vec2 sourceFracIndexRC = ${f};\n\n // Compute the coordinators of nearest neighbor point.\n ivec2 sourceNearestRC = ivec2(\n min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${m})));\n float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n setOutput(newValue);\n }\n `}};var HC=class{constructor(t,e,n,o,s){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m=o?\"0.5\":\"0.0\",f;s?f=\"max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))\":f=\"vec3(yRC) * effectiveInputOverOutputRatioRC\",this.userCode=`\n const vec3 effectiveInputOverOutputRatioRC = vec3(\n ${c[0]/p[0]},\n ${c[1]/p[1]},\n ${c[1]/p[1]});\n const vec3 inputShapeRC = vec3(${a}.0, ${u}.0,\n ${u}.0);\n\n float getAValue(int b, int r, int c, int d) {\n return getChannel(getA(b, r, c, d), vec2(c, d));\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n // Calculate values for next column in yRC.z.\n ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n // Fractional source index.\n vec3 sourceFracIndexRC = ${f};\n\n // Compute the coordinators of nearest neighbor point.\n ivec3 sourceNearestRC = ivec3(\n min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${m})));\n\n // Should we calculate next column and row elements in 2x2 packed cell.\n bool hasNextCol = d < ${l-1};\n bool hasNextRow = coords.z < ${n-1};\n\n vec4 newValue = vec4(\n getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d),\n hasNextCol ? getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d + 1) : 0.0);\n\n setOutput(newValue);\n }\n `}};function iot(r){let{inputs:t,backend:e,attrs:n}=r,{images:o}=t,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,c=M().getBool(\"WEBGL_PACK_IMAGE_OPERATIONS\")?new HC(o.shape,u,l,s,i):new UC(o.shape,u,l,s,i);return e.runWebGLProgram(c,[o],o.dtype)}var H3={kernelName:Cs,backendName:\"webgl\",kernelFunc:iot};var qC=class{constructor(t,e,n){this.variableNames=[\"dy\"],this.outputShape=[],this.outputShape=e;let[,o,s]=e,[,i,a]=t,u=[n&&i>1?o-1:o,n&&a>1?s-1:s],l=[n&&i>1?i-1:i,n&&a>1?a-1:a],c=u[0]/l[0],p=u[1]/l[1],m=1/c,f=1/p,d=Math.ceil(m)*2+2,h=Math.ceil(f)*2+2;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n int r = coords[1];\n int c = coords[2];\n\n float accumulator = 0.0;\n\n const float heightScale = float(${c});\n const float widthScale = float(${p});\n\n const float invHeightScale = float(${m});\n const float invWidthScale = float(${f});\n\n const int winHeight = int(${d});\n const int winWidth = int(${h});\n\n // Compute bounds for where in dy we will look\n float startRLerp = floor(float(r) * invHeightScale);\n int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n float startCLerp = floor(float(c) * invWidthScale);\n int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n // Loop over dy\n for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n int dyR = dyROffset + startDyR;\n\n // Guard against the window exceeding the bounds of dy\n if (dyR < 0 || dyR >= ${i}) {\n continue;\n }\n\n for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n int dyC = dyCOffset + startDyC;\n\n // Guard against the window exceeding the bounds of dy\n if (dyC < 0 || dyC >= ${a}) {\n continue;\n }\n\n float sourceFracRow =\n float(${u[0]}) *\n (float(dyR) / float(${l[0]}));\n\n float sourceFracCol =\n float(${u[1]}) *\n (float(dyC) / float(${l[1]}));\n\n int sourceNearestRow = int(min(\n float(int(${o}) - 1),\n ${n} ? float(round(sourceFracRow)) :\n float(floor(sourceFracRow))));\n\n int sourceNearestCol = int(min(\n float(int(${s}) - 1),\n ${n} ? float(round(sourceFracCol)) :\n float(floor(sourceFracCol))));\n\n if (r == sourceNearestRow && c == sourceNearestCol) {\n accumulator += getDy(b, dyR, dyC, d);\n }\n }\n }\n // End loop over dy\n\n setOutput(accumulator);\n }\n `}};function aot(r){let{inputs:t,backend:e,attrs:n}=r,{images:o,dy:s}=t,{alignCorners:i}=n,a=new qC(s.shape,o.shape,i);return e.runWebGLProgram(a,[s],s.dtype)}var q3={kernelName:Rp,backendName:\"webgl\",kernelFunc:aot};var KC=class{constructor(t,e){this.variableNames=[\"x\"];let n=t.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);if(this.outputShape=t,n===1){this.userCode=`\n void main() {\n int coord = getOutputCoords();\n setOutput(getX(${t[0]} - coord - 1));\n }\n `;return}let o=a=>e.indexOf(a)!==-1&&t[a]!==1?`${t[a]} - coords[${a}] - 1`:`coords[${a}]`,s=t.map((a,u)=>o(u)).join(\",\"),i=zt(n);this.userCode=`\n void main() {\n ${i} coords = getOutputCoords();\n setOutput(getX(${s}));\n }\n `}};var jC=class{constructor(t,e){this.variableNames=[\"x\"],this.packedInputs=!0,this.packedOutput=!0;let n=t.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);this.outputShape=t;let o=Qe(\"rc\",n),s=`${o[n-1]} + 1 < ${this.outputShape[n-1]}`,i=`${o[n-2]} + 1 < ${this.outputShape[n-2]}`,a=zt(n);n===1?this.userCode=`\n void main(){\n int rc = getOutputCoords();\n vec4 result = vec4(0.);\n result.r = getChannel(getX(${t[0]} - rc - 1),\n ${t[0]} - rc - 1);\n if(${s}){\n result.g = getChannel(getX(${t[0]} - (rc + 1) - 1),\n ${t[0]} - (rc + 1) - 1);\n }\n setOutput(result);\n }\n `:this.userCode=`\n void main() {\n ${a} rc = getOutputCoords();\n vec4 result = vec4(0.);\n result.r = ${u(o.slice())};\n if(${s}){\n result.g = ${l(o.slice())};\n }\n if(${i}) {\n result.b = ${c(o.slice())};\n if(${s}) {\n result.a = ${p(o.slice())};\n }\n }\n setOutput(result);\n }\n `;function u(d){return m(d)}function l(d){return d[n-1]=\"(\"+d[n-1]+\" + 1)\",m(d)}function c(d){return d[n-2]=\"(\"+d[n-2]+\" + 1)\",m(d)}function p(d){return d[n-1]=\"(\"+d[n-1]+\" + 1)\",d[n-2]=\"(\"+d[n-2]+\" + 1)\",m(d)}function m(d){let h=t.map((b,w)=>f(w,d)),g=h.join(\",\"),x=h.slice(-2).join(\",\");return`getChannel(getX(${g}), vec2(${x}))`}function f(d,h){return e.indexOf(d)!==-1&&t[d]!==1?`${t[d]} - ${h[d]} - 1`:`${h[d]}`}}};function lot(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dims:s}=n,i=o.shape.length,a=y.parseAxisParam(s,o.shape);if(i===0)return tr({inputs:{x:o},backend:e});let u=M().getBool(\"WEBGL_PACK_ARRAY_OPERATIONS\")?new jC(o.shape,a):new KC(o.shape,a);return e.runWebGLProgram(u,[o],o.dtype)}var K3={kernelName:Ss,backendName:\"webgl\",kernelFunc:lot};var XC=class{constructor(t,e){this.variableNames=[\"Image\"],this.outputShape=[],this.customUniforms=[{name:\"params\",type:\"vec4\"}];let n=t[1],o=t[2];this.outputShape=t;let s=\"\";typeof e==\"number\"?s=`float outputValue = ${e.toFixed(2)};`:s=`\n vec3 fill = vec3(${e.join(\",\")});\n float outputValue = fill[coords[3]];`,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int x = coords[2];\n int y = coords[1];\n float coordXFloat = (float(x) - params[0]) * params[3] -\n (float(y) - params[1]) * params[2];\n float coordYFloat = (float(x) - params[0]) * params[2] +\n (float(y) - params[1]) * params[3];\n int coordX = int(round(coordXFloat + params[0]));\n int coordY = int(round(coordYFloat + params[1]));\n ${s}\n if(coordX >= 0 && coordX < ${o} && coordY >= 0 && coordY < ${n}) {\n outputValue = getImage(coords[0], coordY, coordX, coords[3]);\n }\n setOutput(outputValue);\n }\n `}};var j3={kernelName:Ua,backendName:\"webgl\",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{image:n}=r,{radians:o,fillValue:s,center:i}=t,a=e,u=new XC(n.shape,s),[l,c]=S.getImageCenter(i,n.shape[1],n.shape[2]),p=[[l,c,Math.sin(o),Math.cos(o)]];return a.runWebGLProgram(u,[n],n.dtype,p)}};var uot=`\n // OpenGL ES does not support round function.\n // The algorithm is based on banker's rounding.\n float base = floor(x);\n if ((x - base) < 0.5) {\n return floor(x);\n } else if ((x - base) > 0.5) {\n return ceil(x);\n } else {\n if (mod(base, 2.0) == 0.0) {\n return base;\n } else {\n return base + 1.0;\n }\n }\n`,cot=Ct({opSnippet:uot}),X3={kernelName:Ns,backendName:\"webgl\",kernelFunc:cot};var pot=\"return inversesqrt(x);\",mot=Ct({opSnippet:pot,cpuKernelImpl:EL}),Y3={kernelName:ks,backendName:\"webgl\",kernelFunc:mot};var Td=class{constructor(t,e,n,o,s,i,a=!0){this.variableNames=[\"updates\",\"indices\",\"defaultValue\"],this.outputShape=i;let u=zt(s.length),l=zt(i.length),c=\"\";n===1?c=\"i\":n===2&&(c=\"i, j\");let p=`getIndices(${c})`,m=\"\";o===1?m=\"i\":o===2&&(m=\"i, coords[1]\");let f=`getUpdates(${m})`,d=e>1?\"strides[j]\":\"strides\";this.userCode=`\n ${u} strides = ${u}(${s});\n\n void main() {\n ${l} coords = getOutputCoords();\n float sum = 0.0;\n bool found = false;\n for (int i = 0; i < ${t}; i++) {\n int flattenedIndex = 0;\n for (int j = 0; j < ${e}; j++) {\n int index = round(${p});\n flattenedIndex += index * ${d};\n }\n if (flattenedIndex == coords[0]) {\n sum += ${f};\n found = true;\n }\n }\n setOutput(mix(getDefaultValue(), sum, float(found)));\n }\n `}};function fot(r){let{inputs:t,backend:e,attrs:n}=r,{indices:o,updates:s}=t,{shape:i}=n,{sliceRank:a,numUpdates:u,sliceSize:l,strides:c,outputSize:p}=S.calculateShapes(s,o,i),m=[p/l,l];if(p===0)return e.makeTensorInfo(i,o.dtype);let f=st({inputs:{x:o},backend:e,attrs:{shape:[u,a]}}),d=st({inputs:{x:s},backend:e,attrs:{shape:[u,l]}}),h=e.makeTensorInfo([],\"float32\",new Float32Array([0])),g=new Td(u,a,f.shape.length,d.shape.length,c,m),x=e.runWebGLProgram(g,[d,f,h],d.dtype),b=st({inputs:{x},backend:e,attrs:{shape:i}});return e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(x),e.disposeIntermediateTensorInfo(h),b}var Z3={kernelName:Oa,backendName:\"webgl\",kernelFunc:fot};var YC=class{constructor(t,e,n,o){this.variableNames=[\"sortedSequence\",\"values\"],this.customUniforms=[{name:\"numInputs\",type:\"int\"}],this.outputShape=[t,n];let s=\"while (left < right) {\",i=`for (int i = 0; i < ${Math.ceil(Math.log2(e+1))}; ++i) { if (left >= right) break;`,a=M().getNumber(\"WEBGL_VERSION\")===2?s:i,u=o===\"left\"?\"<\":\"<=\";this.userCode=`\n int findBound(int batch, float value) {\n int left = 0;\n int right = numInputs;\n int mid;\n ${a}\n mid = (left + right) / 2;\n if (getSortedSequence(batch, mid) ${u} value) {\n left = mid + 1;\n } else {\n right = mid;\n }\n }\n return right;\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int valueIndex = coords[1];\n\n float value = getValues(batch, valueIndex);\n\n setOutput(float(findBound(batch, value)));\n }\n `}};function dot(r){let{inputs:t,backend:e,attrs:n}=r,{sortedSequence:o,values:s}=t,{side:i}=n,a=new YC(o.shape[0],o.shape[1],s.shape[1],i),u=[[o.shape[1]]];return e.runWebGLProgram(a,[o,s],\"int32\",u)}var J3={kernelName:Op,backendName:\"webgl\",kernelFunc:dot};var ZC=class{constructor(t,e,n){this.variableNames=[\"c\",\"a\",\"b\"],this.outputShape=e;let o,s;if(n>4)throw Error(`Where for rank ${n} is not yet supported`);if(n===1)s=\"resRC\",o=\"resRC\";else{let a=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],u=[],l=[];for(let c=0;c= 1.0) {\n setOutput(getA(${s}));\n } else {\n setOutput(getB(${s}));\n }\n }\n `}};function hot(r){let{inputs:t,backend:e}=r,{condition:n,t:o,e:s}=t,i=new ZC(n.shape.length,o.shape,o.shape.length);return e.runWebGLProgram(i,[n,o,s],or(o.dtype,s.dtype))}var Q3={kernelName:fi,backendName:\"webgl\",kernelFunc:hot};var got=`\n // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n // see: https://arxiv.org/abs/1706.02515\n float scaleAlpha = ${S.SELU_SCALEALPHA};\n float scale = ${S.SELU_SCALE};\n return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n`,xot=Ct({opSnippet:got}),tB={kernelName:Pa,backendName:\"webgl\",kernelFunc:xot};var yot=Oo+`\n return 1.0 / (1.0 + exp(-1.0 * x));\n`,bot=`\n vec4 result = 1.0 / (1.0 + exp(-1.0 * x));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,wot=Ct({opSnippet:yot,packedOpSnippet:bot,cpuKernelImpl:AL}),eB={kernelName:Es,backendName:\"webgl\",kernelFunc:wot};var Cot=`\n if (isnan(x)) { return 0.0; }\n return sign(x);\n`,Iot=Ct({opSnippet:Cot}),rB={kernelName:Ma,backendName:\"webgl\",kernelFunc:Iot};var vot=Oo+`\n return sin(x);\n`,Sot=Ct({opSnippet:vot}),nB={kernelName:Ts,backendName:\"webgl\",kernelFunc:Sot};var Not=`\n float e2x = exp(x);\n return (e2x - 1.0 / e2x) / 2.0;\n`,kot=Ct({opSnippet:Not}),oB={kernelName:La,backendName:\"webgl\",kernelFunc:kot};var Tot=`\n float epsilon = 1.1920928955078125e-7;\n float threshold = log(epsilon) + 2.0;\n\n bool too_large = x > -threshold;\n bool too_small = x < threshold;\n\n float result;\n float exp_x = exp(x);\n\n if (too_large){\n result = x;\n }\n else if (too_small){\n result = exp_x;\n }\n else{\n result = log(exp_x + 1.0);\n }\n return result;\n`,Eot=Ct({opSnippet:Tot}),sB={kernelName:za,backendName:\"webgl\",kernelFunc:Eot};var _ot=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,paddings:i}=n;y.assert(o.shape.length<=4,()=>\"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet\");let a=s.reduce((x,b)=>x*b),u=[[0,0]];u.push(...i);for(let x=1+s.length;xe.disposeIntermediateTensorInfo(x)),g},iB={kernelName:hi,backendName:\"webgl\",kernelFunc:_ot};function Aot(r){let{inputs:t,backend:e}=r,{indices:n,values:o,denseShape:s,defaultValue:i}=t;if(s.shape.length!==1)throw new Error(`Dense shape must be a vector, saw:\n ${s.shape}`);if(n.shape.length!==2)throw new Error(`Indices must be a matrix, saw:\n ${n.shape}`);if(o.shape.length!==1)throw new Error(`Values must be a vector, saw:\n ${o.shape}`);if(i.shape.length!==0)throw new Error(`Default value must be a scalar, saw:\n ${i.shape}`);let a=e.readSync(n.dataId),u=e.readSync(o.dataId),l=e.readSync(s.dataId),c=e.readSync(i.dataId)[0],[p,m,f,d,h]=DL(a,n.shape,n.dtype,u,o.dtype,l,c);return[e.makeTensorInfo(m,n.dtype,p),e.makeTensorInfo([m[0]],o.dtype,f),e.makeTensorInfo([d.length],\"bool\",new Uint8Array(d.map(g=>Number(g)))),e.makeTensorInfo([h.length],n.dtype,new Int32Array(h))]}var aB={kernelName:Fl,backendName:\"webgl\",kernelFunc:Aot};function $ot(r){let{inputs:t,backend:e}=r,{inputIndices:n,inputShape:o,newShape:s}=t;if(n.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape ${n.shape}`);if(o.shape.length!==1)throw new Error(`Input shape should be a vector but received shape ${o.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=Array.from(e.readSync(o.dataId)),a=e.readSync(n.dataId),u=Array.from(e.readSync(s.dataId)),[l,c,p]=RL(a,n.shape,n.dtype,i,u);return[e.makeTensorInfo(c,n.dtype,l),e.makeTensorInfo([p.length],s.dtype,new Int32Array(p))]}var lB={kernelName:Ba,backendName:\"webgl\",kernelFunc:$ot};function Dot(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape\n ${o.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape\n ${s.shape}`);let i=e.readSync(n.dataId),a=e.readSync(o.dataId),u=e.readSync(s.dataId),[l,c]=Fw(i,n.shape,n.dtype,a,u,!0);return e.makeTensorInfo(c,n.dtype,l)}var uB={kernelName:Ol,backendName:\"webgl\",kernelFunc:Dot};function Rot(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape\n ${o.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape\n ${s.shape}`);let i=e.readSync(n.dataId),a=e.readSync(o.dataId),u=e.readSync(s.dataId),[l,c]=Fw(i,n.shape,n.dtype,a,u);return e.makeTensorInfo(c,n.dtype,l)}var cB={kernelName:Pl,backendName:\"webgl\",kernelFunc:Rot};function Fot(r){let{inputs:t,backend:e,attrs:n}=r,{sparseIndices:o,sparseValues:s,defaultValue:i}=t,{outputShape:a}=n,{sliceRank:u,numUpdates:l,sliceSize:c,strides:p,outputSize:m}=S.calculateShapes(s,o,a),f=!1;if(s.dtype===\"string\"){let x=e.bufferSync(o),b=e.bufferSync(s),w=y.decodeString(e.readSync(i.dataId)[0]),C=_L(x,b,a,m,c,l,u,p,w,f);return e.makeTensorInfo(a,C.dtype,C.values)}let d=new Td(l,u,o.shape.length,s.shape.length,p,[m,1],f),h=e.runWebGLProgram(d,[s,o,i],s.dtype),g=st({inputs:{x:h},backend:e,attrs:{shape:a}});return e.disposeIntermediateTensorInfo(h),g}var pB={kernelName:Pp,backendName:\"webgl\",kernelFunc:Fot};function Oot(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{numOrSizeSplits:s,axis:i}=n,a=y.parseAxisParam(i,o.shape)[0],u=S.prepareSplitSize(o,s,a),l=o.shape.length,c=new Array(l).fill(0),p=o.shape.slice();return u.map(m=>{let f=[...p];f[a]=m;let d=ti({inputs:{x:o},backend:e,attrs:{begin:c,size:f}});return c[a]+=m,d})}var mB={kernelName:gi,backendName:\"webgl\",kernelFunc:Oot};var fB=\"return sqrt(x);\",Pot=Ct({opSnippet:fB,packedOpSnippet:fB,cpuKernelImpl:FL}),dB={kernelName:_s,backendName:\"webgl\",kernelFunc:Pot};var Lot=\"return x * x;\",Mot=Ct({opSnippet:Lot}),hB={kernelName:Ll,backendName:\"webgl\",kernelFunc:Mot};var gB=\"return (a - b) * (a - b);\",zot=le({opSnippet:gB,packedOpSnippet:gB}),xB={kernelName:Ds,backendName:\"webgl\",kernelFunc:zot};function Bot({inputs:r,attrs:t,backend:e}){let{x:n}=r,o=pr+`\n return x > 0.0 ? 1.0 : float(${t.alpha});\n `,s=new tn(n.shape,o);return e.runWebGLProgram(s,[n],n.dtype)}var yB={kernelName:uo,backendName:\"webgl\",kernelFunc:Bot};var JC=class{constructor(t,e,n){this.variableNames=[\"x\"],this.outputShape=n;let o=n.length,s=zt(n.length),i=zt(n.length),a=\"\";if(o===1)a=\"coords * strides + begin\";else{let u=0;a=n.map((l,c)=>(u++,n.length===1?`coords * strides[${c}] + begin[${c}]`:`coords[${u-1}] * strides[${c}] + begin[${c}]`)).join(\",\")}this.userCode=`\n ${s} begin = ${s}(${t});\n ${s} strides = ${s}(${e});\n\n void main() {\n ${i} coords = getOutputCoords();\n setOutput(getX(${a}));\n }\n `}};function Vot(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,end:i,strides:a,beginMask:u,endMask:l,ellipsisMask:c,newAxisMask:p,shrinkAxisMask:m}=n,{finalShapeSparse:f,finalShape:d,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:w,strides:C}=Pe.sliceInfo(o.shape,s,i,a,u,l,c,p,m),N;if(h)N=st({inputs:{x:o},backend:e,attrs:{shape:d}});else if(g||x){y.assert(o.shape.length>=1,()=>`Input must have rank at least 1, got: ${o.shape.length}`);let A=Pe.computeOutShape(b,w,C),$=ti({inputs:{x:o},backend:e,attrs:{begin:b,size:A}});N=st({inputs:{x:$},backend:e,attrs:{shape:d}}),e.disposeIntermediateTensorInfo($)}else if(e.shouldExecuteOnCPU([o])){let $=e.readSync(o.dataId),F=wt(o.shape,o.dtype,$),P=OL(f,F,C,b);N=e.makeTensorInfo(d,o.dtype,P.values)}else{let $=new JC(b,C,f);N=e.runWebGLProgram($,[o],o.dtype)}let _=st({inputs:{x:N},backend:e,attrs:{shape:d}});return e.disposeIntermediateTensorInfo(N),_}var bB={kernelName:Va,backendName:\"webgl\",kernelFunc:Vot};function Got(r){let{inputs:t,backend:e,attrs:n}=r,{separator:o,nGramWidths:s,leftPad:i,rightPad:a,padWidth:u,preserveShortSequences:l}=n,{data:c,dataSplits:p}=t,m=e.readSync(c.dataId),f=e.readSync(p.dataId),[d,h]=PL(m,f,o,s,i,a,u,l);return[e.makeTensorInfo([d.length],\"string\",d),e.makeTensorInfo(p.shape,\"int32\",h)]}var wB={kernelName:Ml,backendName:\"webgl\",kernelFunc:Got};function Wot(r){let{inputs:t,backend:e,attrs:n}=r,{skipEmpty:o}=n,{input:s,delimiter:i}=t;if(s.dtype!==\"string\")throw new Error(\"Input must be of datatype string\");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(i.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${i.shape}`);let a=e.readSync(s.dataId),u=e.readSync(i.dataId)[0],[l,c,p]=LL(a,u,o),m=c.length;return[e.makeTensorInfo([m,2],\"int32\",l),e.makeTensorInfo([m],\"string\",c),e.makeTensorInfo([2],\"int32\",new Int32Array(p))]}var CB={kernelName:zl,backendName:\"webgl\",kernelFunc:Wot};function Uot(r){let{inputs:t,backend:e,attrs:n}=r,{numBuckets:o}=n,{input:s}=t;if(s.dtype!==\"string\")throw new Error(\"Input must be of datatype string\");if(o<=0)throw new Error(\"Number of buckets must be at least 1\");let i=e.readSync(s.dataId),a=ML(i,o);return e.makeTensorInfo(s.shape,\"int32\",a)}var IB={kernelName:Bl,backendName:\"webgl\",kernelFunc:Uot};var Hot=\"return tan(x);\",qot=Ct({opSnippet:Hot}),vB={kernelName:Fs,backendName:\"webgl\",kernelFunc:qot};var Kot=`\n float e2x = exp(-2.0 * abs(x));\n return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n`,jot=Ct({opSnippet:Kot}),SB={kernelName:Os,backendName:\"webgl\",kernelFunc:jot};var QC=class{constructor(t,e){this.variableNames=[\"A\"];let n=new Array(t.length);for(let i=0;i5)throw Error(`Tile for rank ${t} is not yet supported`);if(t===1)return`imod(resRC, ${r[0]})`;let e=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\",\"resRC.u\"],n=[];for(let o=0;o5){let u=e.readSync(o.dataId),l=o.dtype===\"string\"?u.map(m=>y.decodeString(m)):u,c=wt(o.shape,o.dtype,l),p=BL(c,s);return e.makeTensorInfo(p.shape,p.dtype,p.values)}let i=new QC(o.shape,s);return e.runWebGLProgram(i,[o],o.dtype)}var NB={kernelName:Zn,backendName:\"webgl\",kernelFunc:vT};var tI=class{constructor(t){this.variableNames=[\"x\",\"indices\"],this.customUniforms=[{name:\"n\",type:\"int\"},{name:\"firstPass\",type:\"int\"},{name:\"negativeInf\",type:\"float\"},{name:\"dir\",type:\"int\"},{name:\"inc\",type:\"int\"}],this.outputShape=t,this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int elemIdx = coords[1];\n\n // We compare elements pair-wise within a group of size 2 * inc.\n // The comparing rule for each group alternates between ascending\n // and descending. Within each group, we compare each pair at\n // positions i and i+inc. To decide whether an element at position i\n // is x0 or x1, we mod it by 2 * inc, if the result is smaller than\n // inc, it is in the first half of the group, we denote it as x0,\n // otherwise we denote it as x1.\n // For example, as shown in the Bitonic top K paper referenced above,\n // Figure5(a) shows that element[1] is in the\n // second half of the group when group size is 2, but it is in the\n // first half of the group when group size is 4.\n\n bool isFirstInPair = imod(elemIdx, 2 * inc) < inc;\n int i = isFirstInPair ? elemIdx : elemIdx - inc;\n\n int i0 = firstPass == 1 ? i : int(getIndices(batch, i));\n int i1 = firstPass == 1 ? i + inc : int(getIndices(batch, i + inc));\n float x0 = i0 < n ? getX(batch, i0) : negativeInf;\n float x1 = i1 < n ? getX(batch, i1) : negativeInf;\n\n // Denotes which direction indices are in (ascending or descending).\n bool reverse = imod(elemIdx, 2 * dir) >= dir;\n bool isGreater = x0 > x1 || (x0 == x1 && i1 > i0);\n if (reverse == isGreater) { // Elements in opposite order of direction\n int iTemp = i0;\n i0 = i1;\n i1 = iTemp;\n }\n if (isFirstInPair) {\n setOutput(float(i0));\n } else {\n setOutput(float(i1));\n }\n }\n `}},eI=class{constructor(t){this.variableNames=[\"x\",\"indices\"],this.customUniforms=[{name:\"n\",type:\"int\"},{name:\"firstPass\",type:\"int\"},{name:\"k\",type:\"int\"}],this.outputShape=t,this.userCode=`\n void main() {\n // Takes max of indices (0, k), (1, k + 1), (2, k + 2) ...\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int elemIdx = coords[1];\n\n // The output size is half of the previous size.\n // If the previous sequence is | | | | _ _ _ _ | | | | _ _ _ _ (k=4),\n // we only need to output the indices at positions |, the indices at\n // positions _ can be thrown away, see Figure5(b) After Phase 2\n // (Merge phase) in the Bitonic Top K paper referenced above.\n // For example, the paper shows we only need to output the orange bars.\n // The output sequence should look like this | | | | | | | |.\n // Because the sequence is halved, to map the output index back\n // to the previous sequence to find the corresponding value,\n // we need to double the index. When we double the index,\n // we basically interpolate a position, so 2i looks like\n // | _ | _ | _ | _ | _ | _ | _. We move the | to the first k position\n // of each 2k positions by - elemIdx % k. E.g. for output at\n // index 4,5,6,7, we want to get the corresponding element at\n // original index 8,9,10,11, for output at index 8,9,10,11,\n // we want to get the corresponding element at original index\n // 16,17,18,19, so on and so forth.\n\n int i = elemIdx < k ? elemIdx : (elemIdx * 2 - imod(elemIdx, k));\n int i0 = firstPass == 1 ? i : int(getIndices(batch, i));\n int i1 = firstPass == 1 ? i + k : int(getIndices(batch, i + k));\n\n float x0 = getX(batch, i0);\n float x1 = i1 < n ? getX(batch, i1) : x0;\n\n setOutput(x0 >= x1 ? float(i0) : float(i1));\n }\n `}};function Kc(r,t){t!==null&&r.disposeIntermediateTensorInfo(t)}function kB(r){let t=1;for(;tu){let P=e.readSync(o.dataId),[V,G]=VL(P,l,o.dtype,s,i);return[e.makeTensorInfo(V.shape,V.dtype,V.values),e.makeTensorInfo(G.shape,G.dtype,G.values)]}if(s===0)return l[l.length-1]=0,[e.makeTensorInfo(l,o.dtype,[]),e.makeTensorInfo(l,\"int32\",[])];if(c===1)return[o,bl({attrs:{shape:l,dtype:\"int32\",value:0},backend:e})];let p=e.texData.get(o.dataId),m=p!==null&&p.isPacked,f=m?e.unpackTensor(o):o,h=y.sizeFromShape(l)/c,g=st({inputs:{x:f},attrs:{shape:[h,c]},backend:e});m&&Kc(e,f);let x=kB(s),b=kB(c),w=null,C=()=>w===null?[g,g]:[g,w],N=(P,V,G)=>{let W=C(),q=new tI(G),j=[[c],[w===null?1:0],[Number.NEGATIVE_INFINITY],[P],[V]],Y=w;w=e.runWebGLProgram(q,W,\"int32\",j),Kc(e,Y)};for(let P=1;P=1;G/=2)N(V,G,[h,b])}for(let P=b;P>x;P/=2){let V=C(),G=new eI([h,P/2]),q=[[c],[w===null?1:0],[x]],H=w;w=e.runWebGLProgram(G,V,\"int32\",q),Kc(e,H);let j=x/2,Y=j*2;for(let Z=j;Z>=1;Z/=2)N(Y,Z,w.shape)}let _=w;w=ti({inputs:{x:w},backend:e,attrs:{begin:0,size:[h,s]}}),Kc(e,_);let A=gT({inputs:{x:g,indices:w},backend:e,attrs:{axis:1,batchDims:1}});Kc(e,g);let $=l.slice(0,-1);$.push(s),_=w,w=st({inputs:{x:w},attrs:{shape:$},backend:e}),Kc(e,_);let F=A;return A=st({inputs:{x:A},attrs:{shape:$},backend:e}),Kc(e,F),[A,w]}var TB={kernelName:Ga,backendName:\"webgl\",kernelFunc:Yot};var rI=class{constructor(t,e,n,o,s,i){this.variableNames=[\"Image\",\"Transforms\"],this.outputShape=i;let a=n===\"nearest\"?1:2,u;switch(o){case\"constant\":u=1;break;case\"reflect\":u=2;break;case\"wrap\":u=3;break;case\"nearest\":u=4;break;default:u=1;break}this.userCode=`\n float mapCoord(float outCoord, float len) {\n float inCoord = outCoord;\n if(${u} == 2) {\n if (inCoord < 0.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n float sz2 = 2.0 * len;\n if (inCoord < sz2) {\n inCoord = sz2 * float(int(float(-inCoord / sz2))) +\n inCoord;\n }\n inCoord = inCoord < -len ? inCoord + sz2 : -inCoord - 1.0;\n }\n } else if (inCoord > len - 1.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n float sz2 = 2.0 * len;\n inCoord -= sz2 * float(int(float(inCoord / sz2)));\n if (inCoord >= len) {\n inCoord = sz2 - inCoord - 1.0;\n }\n }\n }\n return clamp(inCoord, 0.0, len - 1.0);\n } else if (${u} == 3) {\n if (inCoord < 0.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n float sz = len - 1.0;\n inCoord += len * (float(int(float(-inCoord / sz))) + 1.0);\n }\n } else if (inCoord > len - 1.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n float sz = len - 1.0;\n inCoord -= len * float(int(float(inCoord / sz)));\n }\n }\n return clamp(inCoord, 0.0, len - 1.0);\n } else if (${u} == 4) {\n return clamp(outCoord, 0.0, len - 1.0);\n } else {\n return outCoord;\n }\n }\n\n float readWithFillValue(int batch, int coordY, int coordX,\n int channel) {\n float outputValue;\n if (0 <= coordY && coordY < ${t} && 0 <= coordX && coordX < ${e}) {\n outputValue = getImage(batch, coordY, coordX, channel);\n } else {\n outputValue = float(${s});\n }\n return outputValue;\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n float outputValue;\n int batch = coords[0];\n int x = coords[2];\n int y = coords[1];\n int channel = coords[3];\n float xf = float(x);\n float yf = float(y);\n float a1 = getTransforms(batch, 0);\n float a2 = getTransforms(batch, 1);\n float a3 = getTransforms(batch, 2);\n float b1 = getTransforms(batch, 3);\n float b2 = getTransforms(batch, 4);\n float b3 = getTransforms(batch, 5);\n float c1 = getTransforms(batch, 6);\n float c2 = getTransforms(batch, 7);\n float projection = c1 * xf + c2 * yf + 1.0;\n if (projection == 0.0) {\n outputValue = float(${s});\n } else {\n float inX = (a1 * xf + a2 * yf + a3) / projection;\n float inY = (b1 * xf + b2 * yf + b3) / projection;\n float mapX = mapCoord(inX, float(${e}));\n float mapY = mapCoord(inY, float(${t}));\n\n if (${a} == 1) {\n int coordY = int(round(mapY));\n int coordX = int(round(mapX));\n outputValue = readWithFillValue(batch, coordY, coordX,\n channel);\n } else {\n float yFloor = floor(mapY);\n float xFloor = floor(mapX);\n float yCeil = yFloor + 1.0;\n float xCeil = xFloor + 1.0;\n float valueYFloor = (xCeil - mapX) *\n readWithFillValue(batch, int(yFloor), int(xFloor), channel) +\n (mapX - xFloor) *\n readWithFillValue(batch, int(yFloor), int(xCeil), channel);\n float valueYCeil = (xCeil - mapX) *\n readWithFillValue(batch, int(yCeil), int(xFloor), channel) +\n (mapX - xFloor) *\n readWithFillValue(batch, int(yCeil), int(xCeil), channel);\n outputValue = (yCeil - mapY) * valueYFloor +\n (mapY - yFloor) * valueYCeil;\n }\n }\n setOutput(outputValue);\n }\n `}};function Zot(r){let{inputs:t,backend:e,attrs:n}=r,{image:o,transforms:s}=t,{interpolation:i,fillMode:a,fillValue:u,outputShape:l}=n,[c,p,m,f]=o.shape,[d,h]=l!=null?l:[p,m],g=[c,d,h,f],x=new rI(p,m,i,a,u,g);return e.runWebGLProgram(x,[o,s],\"float32\")}var EB={kernelName:Wa,backendName:\"webgl\",kernelFunc:Zot};function Jot(r){let{inputs:t,attrs:e,backend:n}=r,{axis:o}=e,{x:s}=t;Zs(s,\"unique\"),console.warn(\"WARNING: \",\"UI might be locked temporarily as data is being downloaded\");let i=n.readSync(s.dataId),{outputValues:a,outputShape:u,indices:l}=GL(i,o,s.shape,s.dtype);return[n.makeTensorInfo(u,s.dtype,a),n.makeTensorInfo([l.length],\"int32\",l)]}var _B={kernelName:Lp,backendName:\"webgl\",kernelFunc:Jot};function Qot(r){let{inputs:t,backend:e,attrs:n}=r,{value:o}=t,{axis:s}=n;s<0&&(s+=o.shape.length);let i=o,a=i.shape.length,u=o.shape[s],l=new Array(a-1),c=0;for(let h=0;he.disposeIntermediateTensorInfo(h)),d}var AB={kernelName:xi,backendName:\"webgl\",kernelFunc:Qot};var nI=class{constructor(t,e){this.variableNames=[\"x\",\"segmentIds\"];let n=t.windowSize,o=t.batchSize,s=t.inSize,i=t.numSegments,a=i*Math.ceil(s/n);this.outputShape=[o,a];let u=\"0.0\",l=\"sumValue\",c=Math.floor(n/4)*4,p=n%4,m=`\n sumValue += dot(values, segFilter);\n `,f=\"\";s%n>0&&(f=`\n if (inIdx < 0 || inIdx >= ${s}) {\n return initializationValue;\n }\n `);let d=\"\";s%n>0&&(d=`\n if (inIdx < 0 || inIdx >= ${s}) {\n return -1.0;\n }\n `),this.userCode=`\n const float initializationValue = ${u};\n\n float getValue(int batch, int inIdx) {\n ${f}\n return getX(batch, inIdx);\n }\n\n float getSegmentIdAtIndex(int inIdx) {\n ${d}\n return getSegmentIds(inIdx);\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = int(floor(float(outIdx) / float(\n ${i})) * float(${n}));\n int currentSeg = int(mod(float(outIdx), float(${i})));\n\n float sumValue = 0.0;\n\n for (int i = 0; i < ${c}; i += 4) {\n int inIdx = inOffset + i;\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n getValue(batch, inIdx + 3)\n );\n\n vec4 segFilter = vec4(\n int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n );\n\n ${m}\n }\n\n int inIdx = inOffset + ${c};\n if (${p===1}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n vec4 segFilter = vec4(\n int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n 0,\n 0,\n 0\n );\n\n ${m}\n } else if (${p===2}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n initializationValue,\n initializationValue\n );\n\n vec4 segFilter = vec4(\n int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n 0,\n 0\n );\n\n ${m}\n } else if (${p===3}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n initializationValue\n );\n\n vec4 segFilter = vec4(\n int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n 0\n );\n\n ${m}\n }\n setOutput(${l});\n }\n `}};function tst(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,segmentIds:s}=t,{numSegments:i}=n,a=o.shape.length,u=[],l=0,c=S.getAxesPermutation([l],a),p=o;c!=null&&(p=Fe({inputs:{x:o},backend:e,attrs:{perm:c}}),u.push(p),l=S.getInnerMostAxes(1,a)[0]);let m=S.segment_util.computeOutShape(p.shape,l,i),f=y.sizeFromShape([p.shape[l]]),d=st({inputs:{x:p},backend:e,attrs:{shape:[-1,f]}});u.push(d);let h=Gu(o.dtype),g=(C,N,_,A,$)=>{let F=C.shape[0],P=C.shape[1],V=S.segment_util.segOpComputeOptimalWindowSize(P,$),G={windowSize:V,inSize:P,batchSize:F,numSegments:$},W=new nI(G,N),q=e.compileAndRun(W,[C,_],A);if(u.push(q),q.shape[1]===$)return q;let H=IT({backend:e,attrs:{start:0,stop:$,step:1,dtype:\"float32\"}}),j=vT({inputs:{x:H},backend:e,attrs:{reps:[P/V]}});return u.push(H),u.push(j),g(q,N,j,A,$)},x=g(d,\"unsortedSegmentSum\",s,h,i),b=st({inputs:{x},backend:e,attrs:{shape:m}}),w=b;if(c!=null){u.push(b);let C=S.getUndoAxesPermutation(c);w=Fe({inputs:{x:w},backend:e,attrs:{perm:C}})}return u.forEach(C=>e.disposeIntermediateTensorInfo(C)),w}var $B={kernelName:Vl,backendName:\"webgl\",kernelFunc:tst};var est=[xM,bM,wM,CM,vM,SM,NM,kM,_M,AM,$M,DM,RM,FM,OM,PM,LM,MM,zM,BM,VM,WM,UM,HM,XM,ZM,JM,aM,tz,rz,nz,oz,sz,iz,az,lz,uz,cz,pz,dz,hz,gz,xz,yz,bz,wz,Cz,Iz,vz,Sz,Nz,kz,Tz,Ez,_z,$z,Dz,Rz,Fz,Pz,Lz,Mz,zz,Bz,Vz,Gz,Wz,Uz,iM,Hz,ez,qz,Kz,jz,lM,Xz,Yz,Zz,Jz,Qz,t3,e3,r3,n3,o3,i3,a3,l3,u3,c3,p3,f3,h3,g3,x3,y3,b3,S3,pM,N3,k3,T3,E3,qM,_3,D3,R3,F3,O3,uM,P3,L3,M3,z3,KM,w3,B3,V3,G3,fM,W3,U3,H3,q3,K3,j3,X3,Y3,Z3,J3,Q3,tB,eB,rB,nB,oB,GM,v3,sB,iB,aB,lB,uB,cB,pB,mB,dB,hB,xB,yB,bB,wB,CB,IB,I3,hM,vB,SB,NB,TB,EB,gM,_B,AB,$B,A3];for(let r of est)Pu(r);var Ht;(function(r){r[r.float32=0]=\"float32\",r[r.int32=1]=\"int32\",r[r.bool=2]=\"bool\",r[r.string=3]=\"string\",r[r.complex64=4]=\"complex64\"})(Ht||(Ht={}));var $u;(function(r){r[r.linear=0]=\"linear\",r[r.relu=1]=\"relu\",r[r.relu6=2]=\"relu6\",r[r.prelu=3]=\"prelu\",r[r.leakyrelu=4]=\"leakyrelu\",r[r.sigmoid=5]=\"sigmoid\",r[r.elu=6]=\"elu\"})($u||($u={}));var DB;function rst(r){DB=r.wasm.cwrap(bi,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function nst(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s,bias:i,preluActivationWeights:a}=t;if(o.dtype!==\"float32\"||s.dtype!==\"float32\")throw new Error(\"_FusedMatMul for non non-float32 tensors not yet supported.\");let{transposeA:u,transposeB:l,activation:c,leakyreluAlpha:p}=n,m=e.dataIdMap.get(o.dataId).id,f=e.dataIdMap.get(s.dataId).id,d=0;if(i!=null){let $=e.dataIdMap.get(i.dataId);if($.shape.length!==1)throw new Error(`_FusedMatMul only supports rank-1 bias but got rank ${$.shape.length}.`);d=$.id}let h=a==null?0:e.dataIdMap.get(a.dataId).id,g=$u[c];if(g==null)throw new Error(`${c} activation not yet supported for FusedConv2D in the wasm backend.`);let x=u?o.shape[2]:o.shape[1],b=l?s.shape[1]:s.shape[2],w=zr.assertAndGetBroadcastShape(o.shape.slice(0,-2),s.shape.slice(0,-2)),C=e.makeOutput([...w,x,b],o.dtype),N=e.dataIdMap.get(C.dataId).id,_=new Uint8Array(new Int32Array(o.shape).buffer),A=new Uint8Array(new Int32Array(s.shape).buffer);return DB(m,_,o.shape.length,f,A,s.shape.length,u,l,g,d,h,p||0,N),C}var RB={kernelName:bi,backendName:\"wasm\",setupFunc:rst,kernelFunc:nst};function se(r,t){let e;function n(s){e=s.wasm.cwrap(r,null,[\"number\",\"number\",\"number\"])}function o(s){let{backend:i,inputs:{x:a}}=s,u=i.dataIdMap.get(a.dataId).id,l=i.makeOutput(a.shape,t||a.dtype),c=i.dataIdMap.get(l.dataId).id;return y.sizeFromShape(l.shape)===0||e(u,Ht[a.dtype],c),l}return{kernelName:r,backendName:\"wasm\",setupFunc:n,kernelFunc:o}}var FB=se(oi);function ue(r,t,e){let n;function o(i){n=i.wasm.cwrap(r,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"number\",\"number\",\"number\"])}function s(i){let{backend:a,inputs:u}=i,{a:l,b:c}=u,p=a.dataIdMap.get(l.dataId).id,m=a.dataIdMap.get(c.dataId).id,f=e!=null?e:l.dtype,d=S.assertAndGetBroadcastShape(l.shape,c.shape),h=a.makeOutput(d,f);if(y.sizeFromShape(d)===0)return h;let g=new Uint8Array(new Int32Array(l.shape).buffer),x=new Uint8Array(new Int32Array(c.shape).buffer),b=a.dataIdMap.get(h.dataId).id;return(()=>n(p,g,l.shape.length,m,x,c.shape.length,Ht[l.dtype],b))(),h}return{kernelName:r,backendName:\"wasm\",setupFunc:o,kernelFunc:s}}var ost=!0,OB=ue(Yn,ost);var PB;function sst(r){PB=r.wasm.cwrap(Vo,null,[\"array\",\"number\",\"number\",\"number\"])}function ist(r){let{inputs:t,backend:e}=r,n=e.makeOutput(t[0].shape,t[0].dtype);if(y.sizeFromShape(n.shape)===0)return n;let o=t.map(a=>e.dataIdMap.get(a.dataId).id),s=new Uint8Array(new Int32Array(o).buffer),i=e.dataIdMap.get(n.dataId).id;return PB(s,o.length,Ht[n.dtype],i),n}var LB={kernelName:Vo,backendName:\"wasm\",setupFunc:sst,kernelFunc:ist};function jc(r){let{inputs:{x:t},backend:e}=r,n=e.makeOutput(t.shape,t.dtype),o=e.typedArrayFromHeap(t);return e.typedArrayFromHeap(n).set(o),n}var MB={kernelName:lo,backendName:\"wasm\",kernelFunc:jc};var zB;function ast(r){zB=r.wasm.cwrap(Jn,null,[\"number\",\"array\",\"number\",\"number\",\"number\",\"array\",\"number\"])}function so(r){let{inputs:t,backend:e,attrs:n}=r,[o,s]=ust(t.x.shape,n.perm),i=!0;for(let d=0;d=o&&(s===-1||n[s]>n[i])&&(s=i);n[s]=o}return[e,n]}var BB={kernelName:Jn,backendName:\"wasm\",kernelFunc:so,setupFunc:ast};function yn(r,t,e){let n=r.shape,o=r.shape.length,s=y.parseAxisParam(t,n),i=s,a=S.getAxesPermutation(i,o),u=null,l=!1;if(a!=null){let c=new Array(o);for(let f=0;f`new shape: ${i}, old shape: ${n.shape}. New shape and old shape must have the same number of elements.`),r.backend.incRef(n.dataId),{dataId:n.dataId,shape:i,dtype:n.dtype}}var XB={kernelName:mi,backendName:\"wasm\",kernelFunc:ir};var YB;function yst(r){YB=r.wasm.cwrap(Uo,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"number\",\"number\",\"number\",\"number\"])}function bst(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s}=t,{transposeA:i,transposeB:a}=n;if(o.dtype!==\"float32\"||s.dtype!==\"float32\")throw new Error(\"BatchMatMul for non non-float32 tensors not yet supported.\");let u=o.shape.length,l=s.shape.length,c=i?o.shape[u-2]:o.shape[u-1],p=a?s.shape[l-1]:s.shape[l-2],m=i?o.shape[u-1]:o.shape[u-2],f=a?s.shape[l-2]:s.shape[l-1],d=o.shape.slice(0,-2),h=s.shape.slice(0,-2),g=y.sizeFromShape(d),x=y.sizeFromShape(h),w=zr.assertAndGetBroadcastShape(o.shape.slice(0,-2),s.shape.slice(0,-2)).concat([m,f]);y.assert(c===p,()=>`Error in matMul: inner shapes (${c}) and (${p}) of Tensors with shapes ${o.shape} and ${s.shape} and transposeA=${i} and transposeB=${a} must match.`);let C=i?[g,c,m]:[g,m,c],N=a?[x,f,p]:[x,p,f],_=ir({inputs:{x:o},backend:e,attrs:{shape:C}}),A=ir({inputs:{x:s},backend:e,attrs:{shape:N}}),$=e.dataIdMap.get(_.dataId).id,F=e.dataIdMap.get(A.dataId).id,P=i?_.shape[2]:_.shape[1],V=a?A.shape[1]:A.shape[2],G=Math.max(g,x),W=e.makeOutput([G,P,V],_.dtype),q=e.dataIdMap.get(W.dataId).id,H=new Uint8Array(new Int32Array(_.shape).buffer),j=new Uint8Array(new Int32Array(A.shape).buffer);return YB($,H,_.shape.length,F,j,A.shape.length,i,a,q),e.disposeData(_.dataId),e.disposeData(A.dataId),W.shape=w,W}var ZB={kernelName:Uo,backendName:\"wasm\",setupFunc:yst,kernelFunc:bst};function Po(r){let{inputs:{x:t},attrs:{begin:e,size:n},backend:o}=r,[s,i]=Pe.parseSliceParams(t,e,n),a=Pe.isSliceContinous(t.shape,s,i),u=o.readSync(t.dataId),l=o.makeOutput(i,t.dtype),c=y.computeStrides(t.shape),p=o.dataIdMap.get(l.dataId);if(a){let d=Pe.computeFlatOffset(s,c);return t.dtype===\"string\"?p.stringBytes=u.slice(d,d+y.sizeFromShape(i)):o.typedArrayFromHeap(l).set(u.subarray(d,d+y.sizeFromShape(i))),l}if(t.dtype===\"string\"){let d=$c(u,s,i,t.shape,t.dtype);return p.stringBytes=d,l}let m=o.typedArrayFromHeap(l),f=t.shape.length;if(f===2)wst(u,c[0],m,s,i);else if(f===3)Cst(u,c[0],c[1],m,s,i);else if(f===4)Ist(u,c[0],c[1],c[2],m,s,i);else{let d=$c(u,s,i,t.shape,t.dtype);m.set(d)}return l}function wst(r,t,e,n,o){let s=0,i=n[0],a=n[1],u=i+o[0];for(let l=i;lx*b),u=S.getReshaped(o.shape,s,a),l=S.getPermuted(u.length,s.length),c=S.getReshapedPermuted(o.shape,s,a),p=S.getSliceBeginCoords(i,s.length),m=S.getSliceSize(c,i,s.length),f=ir({inputs:{x:o},backend:e,attrs:{shape:u}}),d=so({inputs:{x:f},backend:e,attrs:{perm:l}}),h=ir({inputs:{x:d},backend:e,attrs:{shape:c}}),g=Po({inputs:{x:h},backend:e,attrs:{begin:p,size:m}});return e.disposeData(f.dataId),e.disposeData(d.dataId),e.disposeData(f.dataId),g}var QB={kernelName:si,backendName:\"wasm\",kernelFunc:vst};function ei(r){let{inputs:{x:t},attrs:{dtype:e},backend:n}=r,o=n.makeOutput(t.shape,e),s=n.typedArrayFromHeap(t);return n.typedArrayFromHeap(o).set(s),o}var tV={kernelName:io,backendName:\"wasm\",kernelFunc:ei};var eV=se(Ho);var rV;function Sst(r){rV=r.wasm.cwrap(ao,null,[\"number\",\"number\",\"number\",\"number\"])}function Nst(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{clipValueMin:s,clipValueMax:i}=n,a=e.dataIdMap.get(o.dataId).id,u=e.makeOutput(o.shape,o.dtype),l=e.dataIdMap.get(u.dataId).id;return rV(a,s,i,l),u}var nV={kernelName:ao,backendName:\"wasm\",setupFunc:Sst,kernelFunc:Nst};function ST(r){let{inputs:t,backend:e}=r,n=y.parseAxisParam(r.attrs.axis,t[0].shape)[0],o=t.map(f=>f.shape);S.assertParamsConsistent(o,n);let s=S.computeOutShape(t.map(f=>f.shape),n),i=t.filter(f=>y.sizeFromShape(f.shape)>0);if(i.length===1)return jc({inputs:{x:i[0]},backend:e});let a=e.makeOutput(s,t[0].dtype);if(y.sizeFromShape(s)===0)return a;if(i[0].dtype===\"string\"){let f=i.map(w=>{let C=y.sizeFromShape(w.shape.slice(n));return ir({inputs:{x:w},backend:e,attrs:{shape:[-1,C]}})}),d=f.map(w=>({vals:e.readSync(w.dataId),shape:w.shape}));s=S.computeOutShape(f.map(w=>w.shape),1);let h=f[0].shape[0]===1,g=Ec(d,s,t[0].dtype,h),x=S.computeOutShape(i.map(w=>w.shape),n);a.shape=x;let b=e.dataIdMap.get(a.dataId);return b.stringBytes=S.fromStringArrayToUint8(g),f.forEach(w=>e.disposeData(w.dataId)),a}let u=y.sizeFromShape(i[0].shape.slice(0,n)),l=0,c=i.map(f=>{let d=y.sizeFromShape(f.shape.slice(n));return l+=d,d}),p=i.map(f=>e.typedArrayFromHeap(f)),m=e.typedArrayFromHeap(a);for(let f=0;f`cumprod does not support ${o.dtype} tensors in the WASM backend`);let l=S.getAxesPermutation([s],u),c=o;l!==null&&(c=so({inputs:{x:o},attrs:{perm:l},backend:e}));let p=S.getInnerMostAxes(1,u)[0];S.assertAxesAreInnerMostDims(\"cumprod\",[p],u);let m=e.makeOutput(c.shape,c.dtype),f=c.shape[p],d=e.dataIdMap.get(c.dataId).id,h=e.dataIdMap.get(m.dataId).id;fV(d,i?1:0,a?1:0,f,h,Ht[o.dtype]);let g=m;if(l!==null){let x=S.getUndoAxesPermutation(l);g=so({inputs:{x:m},attrs:{perm:x},backend:e}),e.disposeData(c.dataId),e.disposeData(m.dataId)}return g}var dV={kernelName:pa,backendName:\"wasm\",setupFunc:Dst,kernelFunc:Rst};var hV;function Fst(r){hV=r.wasm.cwrap(Yo,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Ost(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,exclusive:i,reverse:a}=n,u=o.shape.length;y.assert(o.dtype===\"float32\"||o.dtype===\"int32\",()=>`cumsum does not support ${o.dtype} tensors in the WASM backend`);let l=S.getAxesPermutation([s],u),c=o;l!==null&&(c=so({inputs:{x:o},attrs:{perm:l},backend:e}));let p=S.getInnerMostAxes(1,u)[0];S.assertAxesAreInnerMostDims(\"cumsum\",[p],u);let m=e.makeOutput(c.shape,c.dtype),f=c.shape[p],d=e.dataIdMap.get(c.dataId).id,h=e.dataIdMap.get(m.dataId).id;hV(d,i?1:0,a?1:0,f,h,Ht[o.dtype]);let g=m;if(l!==null){let x=S.getUndoAxesPermutation(l);g=so({inputs:{x:m},attrs:{perm:x},backend:e}),e.disposeData(c.dataId),e.disposeData(m.dataId)}return g}var gV={kernelName:Yo,backendName:\"wasm\",setupFunc:Fst,kernelFunc:Ost};var xV;function Pst(r){xV=r.wasm.cwrap(fa,null,[\"number\",\"number\",\"number\",\"array\",\"number\",\"array\",\"array\",\"number\",\"number\"])}function Lst(r){let{backend:t,inputs:e,attrs:n}=r,{x:o}=e,{blockSize:s,dataFormat:i}=n,a=o.shape[0],u=i===\"NHWC\"?o.shape[1]:o.shape[2],l=i===\"NHWC\"?o.shape[2]:o.shape[3],c=i===\"NHWC\"?o.shape[3]:o.shape[1],p=u*s,m=l*s,f=c/(s*s),d=i===\"NHWC\"?[a,p,m,f]:[a,f,p,m],h=t.makeOutput(d,\"float32\"),x=t.dataIdMap.get(o.dataId).id,b=new Uint8Array(new Int32Array(y.computeStrides(o.shape)).buffer),w=new Uint8Array(new Int32Array(d).buffer),C=new Uint8Array(new Int32Array(y.computeStrides(d)).buffer),N=t.dataIdMap.get(h.dataId).id;return xV(x,s,i===\"NHWC\"?1:0,b,o.shape.length-1,w,C,d.length,N),h}var yV={kernelName:fa,backendName:\"wasm\",setupFunc:Pst,kernelFunc:Lst};var bV;function Mst(r){bV=r.wasm.cwrap(Zo,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function zst(r){let{inputs:t,attrs:e,backend:n}=r,{x:o,filter:s}=t,i=n.dataIdMap.get(o.dataId).id,a=n.dataIdMap.get(s.dataId).id,{strides:u,dilations:l,pad:c,dimRoundingMode:p}=e,m=l==null?[1,1]:l,f=S.computeConv2DInfo(o.shape,s.shape,u,m,c,p,!0),d=f.filterHeight,h=f.filterWidth,g=f.padInfo.top,x=f.padInfo.right,b=f.padInfo.bottom,w=f.padInfo.left,C=f.dilationHeight,N=f.dilationWidth,_=f.strideHeight,A=f.strideWidth,$=f.inChannels,F=f.outChannels,P=f.padInfo.type===\"SAME\"?1:0;if(f.dataFormat!==\"channelsLast\")throw new Error(`wasm backend DepthwiseConv2dNative does not support dataFormat:'${f.dataFormat}'. Please use 'channelsLast'.`);let V=n.makeOutput(f.outShape,\"float32\"),G=n.dataIdMap.get(V.dataId).id;return bV(i,o.shape[0],o.shape[1],o.shape[2],a,d,h,g,x,b,w,P,C,N,_,A,$,F,G),V}var wV={kernelName:Zo,backendName:\"wasm\",setupFunc:Mst,kernelFunc:zst};var CV=se(Qo);var Bst=!1,IV=ue(ha,Bst,\"bool\");var vV=se(ts,\"float32\");function oI(r){let{inputs:t,attrs:e,backend:n}=r,{input:o}=t,{dim:s}=e,i=o.shape.length,a=o.shape.slice(),u=s;return s<0&&(y.assert(-(i+1)<=s,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),u=i+s+1),a.splice(u,0,1),ir({inputs:{x:o},backend:n,attrs:{shape:a}})}var SV={kernelName:ai,backendName:\"wasm\",kernelFunc:oI};function kT(r){let{attrs:{shape:t,value:e,dtype:n},backend:o}=r,s=o.makeOutput(t,n);return o.typedArrayFromHeap(s).fill(e),s}var NV={kernelName:Al,backendName:\"wasm\",kernelFunc:kT};var kV;function Vst(r){kV=r.wasm.cwrap(xa,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Gst(r){let{inputs:t,backend:e}=r,{image:n}=t,o=e.makeOutput(n.shape,n.dtype),s=e.dataIdMap.get(n.dataId).id,i=e.dataIdMap.get(o.dataId).id,[a,u,l,c]=n.shape;return kV(s,a,u,l,c,i),o}var TV={kernelName:xa,backendName:\"wasm\",kernelFunc:Gst,setupFunc:Vst};var EV=se(es);var Wst=!1,_V=ue(rs,Wst);var AV;function Ust(r){AV=r.wasm.cwrap(ns,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Hst(r){let{backend:t,inputs:e,attrs:n}=r,{varianceEpsilon:o}=n,{x:s,mean:i,variance:a,offset:u,scale:l}=e,c=t.dataIdMap.get(s.dataId).id,p=t.dataIdMap.get(i.dataId).id,m=t.dataIdMap.get(a.dataId).id,f=u!=null?t.dataIdMap.get(u.dataId).id:0,d=l!=null?t.dataIdMap.get(l.dataId).id:0,h=t.makeOutput(s.shape,s.dtype);if(y.sizeFromShape(s.shape)===0)return h;let g=t.dataIdMap.get(h.dataId).id;return AV(c,p,m,f,d,o,g),h}var $V={kernelName:ns,backendName:\"wasm\",setupFunc:Ust,kernelFunc:Hst};var DV;function qst(r){DV=r.wasm.cwrap(wi,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Kst(r){let{inputs:t,attrs:e,backend:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dilations:c,dataFormat:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=e,h=S.computeConv2DInfo(o.shape,s.shape,u,c,l,m),g=$u[f];if(g==null)throw new Error(`${f} activation not yet supported for FusedConv2D in the wasm backend.`);let x=n.dataIdMap.get(o.dataId).id,b=n.dataIdMap.get(s.dataId).id,w=h.outChannels,C=0;if(i!=null){let nt=n.dataIdMap.get(i.dataId);if(nt.shape.length!==1)throw new Error(`FusedConv2D only supports rank-1 bias but got rank ${nt.shape.length}.`);if(nt.shape[0]!==w)throw new Error(`FusedConv2D bias shape (${nt.shape}) does not match the number of output channels (${w})`);C=nt.id}let N=h.filterHeight,_=h.filterWidth,A=h.padInfo.top,$=h.padInfo.right,F=h.padInfo.bottom,P=h.padInfo.left,V=h.dilationHeight,G=h.dilationWidth,W=h.strideHeight,q=h.strideWidth,H=h.inChannels,j=h.padInfo.type===\"SAME\"?1:0,Y=h.batchSize,Z=h.inHeight,et=h.inWidth;if(p!==\"NHWC\")throw new Error(`wasm backend FusedConv2D does not support dataFormat:'${p}'. Please use 'NHWC'.`);let rt=n.makeOutput(h.outShape,\"float32\"),ot=n.dataIdMap.get(rt.dataId).id,at=a==null?0:n.dataIdMap.get(a.dataId).id;return DV(x,Y,Z,et,b,N,_,C,A,$,F,P,j,V,G,W,q,H,w,g,at,d||0,ot),rt}var RV={kernelName:wi,backendName:\"wasm\",setupFunc:qst,kernelFunc:Kst};var FV;function jst(r){FV=r.wasm.cwrap(Ci,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Xst(r){let{inputs:t,attrs:e,backend:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dilations:c,dataFormat:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=e,h=S.computeConv2DInfo(o.shape,s.shape,u,c,l,m,!0),g=$u[f];if(g==null)throw new Error(`${f} activation not yet supported for FusedDepthwiseConv2D in the wasm backend.`);let x=n.dataIdMap.get(o.dataId).id,b=n.dataIdMap.get(s.dataId).id,w=h.outChannels,C=0;if(i!=null){let nt=n.dataIdMap.get(i.dataId);if(nt.shape.length!==1)throw new Error(`FusedDepthwiseConv2D only supports rank-1 bias but got rank ${nt.shape.length}.`);if(nt.shape[0]!==w)throw new Error(`FusedDepthwiseConv2D bias shape (${nt.shape}) does not match the number of output channels (${w})`);C=nt.id}let N=h.filterHeight,_=h.filterWidth,A=h.padInfo.top,$=h.padInfo.right,F=h.padInfo.bottom,P=h.padInfo.left,V=h.dilationHeight,G=h.dilationWidth,W=h.strideHeight,q=h.strideWidth,H=h.inChannels,j=h.padInfo.type===\"SAME\"?1:0,Y=h.batchSize,Z=h.inHeight,et=h.inWidth;if(p!==\"NHWC\")throw new Error(`wasm backend FusedDepthwiseConv2D does not support dataFormat:'${p}'. Please use 'NHWC'.`);let rt=n.makeOutput(h.outShape,\"float32\"),ot=n.dataIdMap.get(rt.dataId).id,at=a==null?0:n.dataIdMap.get(a.dataId).id;return FV(x,Y,Z,et,b,N,_,C,A,$,F,P,j,V,G,W,q,H,w,g,at,d||0,ot),rt}var OV={kernelName:Ci,backendName:\"wasm\",setupFunc:jst,kernelFunc:Xst};var PV;function Yst(r){PV=r.wasm.cwrap(ya,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"array\",\"number\"])}function Zst(r){let{backend:t,inputs:e}=r,{params:n,indices:o}=e,[s,i,a,u]=Qg.prepareAndValidate(n,o),l=t.makeOutput(s,n.dtype);if(i===0)return l;let c=o.shape,p=c[c.length-1],f=t.dataIdMap.get(n.dataId).id,h=t.dataIdMap.get(o.dataId).id,g=new Uint8Array(new Int32Array(u).buffer),x=t.dataIdMap.get(l.dataId).id;return PV(f,Ht[n.dtype],h,i,p,a,g,x),l}var LV={kernelName:ya,backendName:\"wasm\",setupFunc:Yst,kernelFunc:Zst};var MV;function Jst(r){MV=r.wasm.cwrap(\"Gather\",null,[\"number\",\"number\",\"array\",\"number\",\"number\",\"number\",\"array\",\"number\"])}function Qst(r){let{backend:t,inputs:e,attrs:n}=r,{x:o,indices:s}=e,{axis:i,batchDims:a}=n,u=y.parseAxisParam(i,o.shape)[0],l=t.readSync(s.dataId),c=o.shape[u];for(let F=0;F=0,()=>`GatherV2: the index value ${P} is not in [0, ${c-1}]`)}let p=S.segment_util.collectGatherOpShapeInfo(o,s,u,a),m=ir({inputs:{x:o},attrs:{shape:[p.batchSize,p.outerSize,p.dimSize,p.sliceSize]},backend:t}),f=y.sizeFromShape(s.shape),d=ir({inputs:{x:s},attrs:{shape:[p.batchSize,f/p.batchSize]},backend:t}),h=[p.batchSize,p.outerSize,f/p.batchSize,p.sliceSize],g=t.makeOutput(h,o.dtype);if(y.sizeFromShape(o.shape)===0)return g;let x=m.shape.length-1,w=t.dataIdMap.get(m.dataId).id,N=t.dataIdMap.get(d.dataId).id,_=t.dataIdMap.get(g.dataId).id,A=new Uint8Array(new Int32Array(y.computeStrides(m.shape)).buffer),$=new Uint8Array(new Int32Array(y.computeStrides(h)).buffer);return MV(w,Ht[o.dtype],A,x,N,p.batchSize,$,_),t.disposeData(m.dataId),t.disposeData(d.dataId),g.shape=p.outputShape,g}var zV={kernelName:li,backendName:\"wasm\",setupFunc:Jst,kernelFunc:Qst};var tit=!1,BV=ue(ba,tit,\"bool\");var eit=!1,VV=ue(os,eit,\"bool\");var GV;function rit(r){GV=r.wasm.cwrap(ss,null,[\"number\",\"number\",\"number\",\"number\"])}function nit(r){let{inputs:{x:t},attrs:{alpha:e},backend:n}=r,o=n.dataIdMap.get(t.dataId).id,s=n.makeOutput(t.shape,\"float32\");if(y.sizeFromShape(t.shape)!==0){let i=n.dataIdMap.get(s.dataId).id;GV(o,Ht[t.dtype],e,i)}return s}var WV={kernelName:ss,backendName:\"wasm\",setupFunc:rit,kernelFunc:nit};var oit=!1,UV=ue(va,oit,\"bool\");var sit=!1,HV=ue(Sa,sit,\"bool\");var qV=se(is);var iit=!1,KV=ue(ka,iit,\"bool\");var jV=se(Ta);var ait=!1,XV=ue(Ea,ait,\"bool\");var lit=!1,YV=ue(a1,lit,\"bool\");var ZV;function uit(r){ZV=r.wasm.cwrap(as,null,[\"number\",\"number\",\"number\",\"number\"])}function cit(r){let{backend:t,inputs:e,attrs:n}=r,{reductionIndices:o,keepDims:s}=n,{x:i}=e,u=t.dataIdMap.get(i.dataId).id,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=yn(i,o,t);if(f){let w=t.dataIdMap.get(c.dataId).id;l=c,u=w}let d=l.shape.length;S.assertAxesAreInnerMostDims(\"max\",p,d);let[h,g]=S.computeOutAndReduceShapes(l.shape,p),x=y.sizeFromShape(g),b=t.makeOutput(h,i.dtype);if(y.sizeFromShape(l.shape)!==0){let w=t.dataIdMap.get(b.dataId).id;ZV(u,Ht[i.dtype],x,w)}if(f&&t.disposeData(c.dataId),s){let w=S.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var JV={kernelName:as,backendName:\"wasm\",setupFunc:uit,kernelFunc:cit};var pit=!1,QV=ue(ls,pit);var tG;function mit(r){tG=r.wasm.cwrap(us,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function fit(r){let{inputs:t,attrs:e,backend:n}=r,o=t.x,s=n.dataIdMap.get(o.dataId).id;y.assert(o.dtype===\"float32\",()=>`Error in MaxPool: only float32 input is supported. Got ${o.dtype}.`);let{filterSize:i,strides:a,pad:u,dimRoundingMode:l}=e,c=S.computePool2DInfo(o.shape,i,a,1,u,l),p=c.filterHeight,m=c.filterWidth,f=c.padInfo.top,d=c.padInfo.right,h=c.padInfo.bottom,g=c.padInfo.left,x=c.dilationHeight,b=c.dilationWidth,w=c.strideHeight,C=c.strideWidth,N=c.inChannels,_=c.outChannels;if(c.dataFormat!==\"channelsLast\")throw new Error(`wasm backend does not support dataFormat:'${c.dataFormat}'. Please use 'channelsLast'.`);let A=n.makeOutput(c.outShape,\"float32\"),$=n.dataIdMap.get(A.dataId).id;return tG(s,o.shape[0],o.shape[1],o.shape[2],p,m,f,d,h,g,x,b,w,C,N,_,$),A}var eG={kernelName:us,backendName:\"wasm\",setupFunc:mit,kernelFunc:fit};var rG;function dit(r){rG=r.wasm.cwrap(cs,null,[\"number, number, number\"])}function hit(r){let{backend:t,inputs:e,attrs:n}=r,{axis:o,keepDims:s}=n,{x:i}=e,a=t.dataIdMap.get(i.dataId).id,u=a,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=yn(i,o,t),d=p;if(f){let C=t.dataIdMap.get(c.dataId).id;C!==a&&(l=c,u=C,d=S.getInnerMostAxes(d.length,l.shape.length))}S.assertAxesAreInnerMostDims(\"mean\",d,l.shape.length);let[h,g]=S.computeOutAndReduceShapes(l.shape,d),x=y.sizeFromShape(g),b=l;l.dtype!==\"float32\"&&(b=ei({backend:t,inputs:{x:l},attrs:{dtype:\"float32\"}}),u=t.dataIdMap.get(b.dataId).id);let w=t.makeOutput(h,\"float32\");if(y.sizeFromShape(l.shape)!==0){let C=t.dataIdMap.get(w.dataId).id;rG(u,x,C)}if(f&&t.disposeData(c.dataId),s){let C=S.expandShapeToKeepDim(w.shape,m);w.shape=C}return l.dtype!==\"float32\"&&t.disposeData(b.dataId),w}var nG={kernelName:cs,backendName:\"wasm\",setupFunc:dit,kernelFunc:hit};var oG;function git(r){oG=r.wasm.cwrap(ps,null,[\"number\",\"number\",\"number\",\"number\"])}function xit(r){let{backend:t,inputs:e,attrs:n}=r,{axis:o,keepDims:s}=n,{x:i}=e,a=t.dataIdMap.get(i.dataId).id,u=a,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=yn(i,o,t);if(f){let w=t.dataIdMap.get(c.dataId).id;w!==a&&(l=c,u=w)}let d=l.shape.length;S.assertAxesAreInnerMostDims(\"min\",p,d);let[h,g]=S.computeOutAndReduceShapes(l.shape,p),x=y.sizeFromShape(g),b=t.makeOutput(h,l.dtype);if(y.sizeFromShape(l.shape)!==0){let w=t.dataIdMap.get(b.dataId).id;oG(u,Ht[i.dtype],x,w)}if(f&&t.disposeData(c.dataId),s){let w=S.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var sG={kernelName:ps,backendName:\"wasm\",setupFunc:git,kernelFunc:xit};var yit=!1,iG=ue(ms,yit);var TT;(function(r){r[r.reflect=0]=\"reflect\",r[r.symmetric=1]=\"symmetric\"})(TT||(TT={}));var aG;function bit(r){aG=r.wasm.cwrap(fs,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"array\",\"number\",\"number\"])}function wit(r){let{inputs:{x:t},backend:e,attrs:{paddings:n,mode:o}}=r,s=n.map((d,h)=>d[0]+t.shape[h]+d[1]),i=e.dataIdMap.get(t.dataId).id,a=e.makeOutput(s,t.dtype),u=e.dataIdMap.get(a.dataId).id,l=new Uint8Array(new Int32Array(t.shape).buffer),c=n.map(d=>d[0]),p=n.map(d=>d[1]),m=new Uint8Array(new Int32Array(c).buffer),f=new Uint8Array(new Int32Array(p).buffer);return aG(i,l,t.shape.length,Ht[t.dtype],m,f,TT[o],u),a}var lG={kernelName:fs,backendName:\"wasm\",kernelFunc:wit,setupFunc:bit};var Cit=!0,uG=ue(ds,Cit);var cG=se(ui);function Ed(r,t){let e=new Int32Array(r.wasm.HEAPU8.buffer,t,4),n=e[0],o=e[1],s=e[2],i=e[3];return r.wasm._free(t),{pSelectedIndices:n,selectedSize:o,pSelectedScores:s,pValidOutputs:i}}var pG;function Iit(r){pG=r.wasm.cwrap($a,\"number\",[\"number\",\"number\",\"number\",\"number\",\"number\"])}function vit(r){let{backend:t,inputs:e,attrs:n}=r,{iouThreshold:o,maxOutputSize:s,scoreThreshold:i}=n,{boxes:a,scores:u}=e,l=t.dataIdMap.get(a.dataId).id,c=t.dataIdMap.get(u.dataId).id,p=pG(l,c,s,o,i),{pSelectedIndices:m,selectedSize:f,pSelectedScores:d,pValidOutputs:h}=Ed(t,p);return t.wasm._free(d),t.wasm._free(h),t.makeOutput([f],\"int32\",m)}var mG={kernelName:$a,backendName:\"wasm\",setupFunc:Iit,kernelFunc:vit};var fG;function Sit(r){fG=r.wasm.cwrap(Da,\"number\",[\"number\",\"number\",\"number\",\"number\",\"number\",\"bool\"])}function Nit(r){let{backend:t,inputs:e,attrs:n}=r,{iouThreshold:o,maxOutputSize:s,scoreThreshold:i,padToMaxOutputSize:a}=n,{boxes:u,scores:l}=e,c=t.dataIdMap.get(u.dataId).id,p=t.dataIdMap.get(l.dataId).id,m=fG(c,p,s,o,i,a),{pSelectedIndices:f,selectedSize:d,pSelectedScores:h,pValidOutputs:g}=Ed(t,m);t.wasm._free(h);let x=t.makeOutput([d],\"int32\",f),b=t.makeOutput([],\"int32\",g);return[x,b]}var dG={kernelName:Da,backendName:\"wasm\",setupFunc:Sit,kernelFunc:Nit};var hG;function kit(r){hG=r.wasm.cwrap(Ra,\"number\",[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Tit(r){let{backend:t,inputs:e,attrs:n}=r,{iouThreshold:o,maxOutputSize:s,scoreThreshold:i,softNmsSigma:a}=n,{boxes:u,scores:l}=e,c=t.dataIdMap.get(u.dataId).id,p=t.dataIdMap.get(l.dataId).id,m=hG(c,p,s,o,i,a),{pSelectedIndices:f,selectedSize:d,pSelectedScores:h,pValidOutputs:g}=Ed(t,m);t.wasm._free(g);let x=t.makeOutput([d],\"int32\",f),b=t.makeOutput([d],\"float32\",h);return[x,b]}var gG={kernelName:Ra,backendName:\"wasm\",setupFunc:kit,kernelFunc:Tit};var Eit=!1,xG=ue(Aa,Eit,\"bool\");var yG;function _it(r){yG=r.wasm.cwrap(hs,null,[\"number\",\"number\",\"number\",\"number\",\"number\"])}function Ait(r){let{inputs:t,backend:e,attrs:n}=r,{indices:o}=t,{dtype:s,depth:i,onValue:a,offValue:u}=n,l=e.makeOutput([...o.shape,i],s),c=e.dataIdMap.get(l.dataId).id,m=e.dataIdMap.get(o.dataId).id;return yG(m,i,a,u,c),l}var bG={kernelName:hs,backendName:\"wasm\",setupFunc:_it,kernelFunc:Ait};function $it(r){let{inputs:{x:t},backend:e}=r,n=e.makeOutput(t.shape,t.dtype);return e.typedArrayFromHeap(n).fill(1),n}var wG={kernelName:ci,backendName:\"wasm\",kernelFunc:$it};function Dit(r){let{inputs:t,backend:e,attrs:n}=r,{axis:o}=n;if(t.length===1)return oI({inputs:{input:t[0]},backend:e,attrs:{dim:o}});let s=t[0].shape,i=t[0].dtype;t.forEach(c=>{y.assertShapesMatch(s,c.shape,\"All tensors passed to stack must have matching shapes\"),y.assert(i===c.dtype,()=>\"All tensors passed to stack must have matching dtypes\")});let a=[],u=t.map(c=>{let p=oI({inputs:{input:c},backend:e,attrs:{dim:o}});return a.push(p),p}),l=ST({inputs:u,backend:e,attrs:{axis:o}});return a.forEach(c=>e.disposeData(c.dataId)),l}var CG={kernelName:pi,backendName:\"wasm\",kernelFunc:Dit};var IG;function Rit(r){IG=r.wasm.cwrap(gs,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"array\",\"number\",\"number\"])}function Fit(r){let{inputs:{x:t},backend:e,attrs:{paddings:n,constantValue:o}}=r,s=n.map((h,g)=>h[0]+t.shape[g]+h[1]);if(y.sizeFromShape(t.shape)===0)return kT({backend:e,attrs:{shape:s,value:o,dtype:t.dtype}});let i=e.dataIdMap.get(t.dataId).id,a=e.makeOutput(s,t.dtype),l=e.dataIdMap.get(a.dataId).id,c=new Uint8Array(new Int32Array(t.shape).buffer),p=n.map(h=>h[0]),m=n.map(h=>h[1]),f=new Uint8Array(new Int32Array(p).buffer),d=new Uint8Array(new Int32Array(m).buffer);return IG(i,c,t.shape.length,Ht[t.dtype],f,d,o,l),a}var sI={kernelName:gs,backendName:\"wasm\",kernelFunc:Fit,setupFunc:Rit};var Oit=!1,vG=ue(xs,Oit);var SG;function Pit(r){SG=r.wasm.cwrap(ys,null,[\"number\",\"number\",\"number\"])}function Lit(r){let{inputs:t,backend:e}=r,{x:n,alpha:o}=t,s=e.dataIdMap.get(n.dataId).id,i=e.dataIdMap.get(o.dataId).id,a=s,u=n,l=u;u.dtype!==\"float32\"&&(l=ei({backend:e,inputs:{x:n},attrs:{dtype:\"float32\"}}),a=e.dataIdMap.get(l.dataId).id);let c=e.makeOutput(n.shape,\"float32\"),p=e.dataIdMap.get(c.dataId).id;return SG(a,i,p),u.dtype!==\"float32\"&&e.disposeData(l.dataId),c}var NG={kernelName:ys,backendName:\"wasm\",setupFunc:Pit,kernelFunc:Lit};var kG;function Mit(r){kG=r.wasm.cwrap(bs,null,[\"number\",\"number\",\"number\",\"number\"])}function zit(r){let{backend:t,inputs:e,attrs:n}=r,{axis:o,keepDims:s}=n,{x:i}=e,a=t.dataIdMap.get(i.dataId).id,u=a,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=yn(i,o,t),d=p;if(f){let w=t.dataIdMap.get(c.dataId).id;w!==a&&(l=c,u=w,d=S.getInnerMostAxes(d.length,l.shape.length))}S.assertAxesAreInnerMostDims(\"prod\",d,l.shape.length);let[h,g]=S.computeOutAndReduceShapes(l.shape,d),x=y.sizeFromShape(g),b=t.makeOutput(h,l.dtype);if(y.sizeFromShape(l.shape)!==0){let w=t.dataIdMap.get(b.dataId).id;kG(u,x,Ht[b.dtype],w)}if(f&&t.disposeData(c.dataId),s){let w=S.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var TG={kernelName:bs,backendName:\"wasm\",setupFunc:Mit,kernelFunc:zit};var Bit=r=>{let{backend:t,attrs:e}=r,{start:n,stop:o,step:s,dtype:i}=e,a=Ac(n,o,s,i),u=t.makeOutput([a.length],i);return t.typedArrayFromHeap(u).set(a),u},EG={kernelName:Rl,backendName:\"wasm\",kernelFunc:Bit};var Vit=!0,_G=ue(Jo,Vit);var AG=se(ws);var $G=se(vs);var DG;function Git(r){DG=r.wasm.cwrap(Is,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Wit(r){let{backend:t,inputs:e,attrs:n}=r,{images:o}=e,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,[c,p,m,f]=o.shape,d=[c,u,l,f],h=t.dataIdMap.get(o.dataId),g;h.dtype!==\"float32\"&&(g=ei({backend:t,inputs:{x:o},attrs:{dtype:\"float32\"}}),h=t.dataIdMap.get(g.dataId));let x=h.id,b=t.makeOutput(d,\"float32\");if(y.sizeFromShape(o.shape)===0)return b;let w=t.dataIdMap.get(b.dataId).id;return DG(x,c,p,m,f,u,l,s?1:0,i?1:0,w),g!=null&&t.disposeData(g.dataId),b}var RG={kernelName:Is,backendName:\"wasm\",setupFunc:Git,kernelFunc:Wit};var FG;function Uit(r){FG=r.wasm.cwrap(Cs,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Hit(r){let{backend:t,inputs:e,attrs:n}=r,{images:o}=e,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,[c,p,m,f]=o.shape,d=[c,u,l,f],h=t.makeOutput(d,\"float32\");if(y.sizeFromShape(o.shape)===0)return h;let g=t.dataIdMap.get(o.dataId),x;g.dtype!==\"float32\"&&(x=ei({backend:t,inputs:{x:o},attrs:{dtype:\"float32\"}}),g=t.dataIdMap.get(x.dataId));let b=g.id,w=t.dataIdMap.get(h.dataId).id;return FG(b,c,p,m,f,u,l,s?1:0,i?1:0,w),x!=null&&t.disposeData(x.dataId),h}var OG={kernelName:Cs,backendName:\"wasm\",setupFunc:Uit,kernelFunc:Hit};var PG;function qit(r){PG=r.wasm.cwrap(Ss,null,[\"number\",\"array\",\"number\",\"array\",\"number\",\"number\"])}function Kit(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dims:s}=n,i=y.parseAxisParam(s,o.shape);if(o.shape.length===0)return jc({inputs:{x:o},backend:e});let a=e.makeOutput(o.shape,o.dtype),u=e.dataIdMap.get(o.dataId).id,l=e.dataIdMap.get(a.dataId).id,c=new Uint8Array(new Int32Array(i).buffer),p=new Uint8Array(new Int32Array(o.shape).buffer);PG(u,c,i.length,p,o.shape.length,l);let m=ir({inputs:{x:a},attrs:{shape:o.shape},backend:e});return e.disposeData(a.dataId),m}var LG={kernelName:Ss,backendName:\"wasm\",kernelFunc:Kit,setupFunc:qit};var MG;function jit(r){MG=r.wasm.cwrap(Ua,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"array\",\"number\",\"number\"])}function Xit(r){let{inputs:t,backend:e,attrs:n}=r,{image:o}=t,{radians:s,fillValue:i,center:a}=n,u=e.makeOutput(o.shape,o.dtype),l=e.dataIdMap.get(o.dataId).id,c=e.dataIdMap.get(u.dataId).id,[p,m,f,d]=o.shape,[h,g]=S.getImageCenter(a,m,f),x=i===0,b=255,w=typeof i==\"number\"?[i,i,i,x?0:b]:[...i,b],C=new Uint8Array(new Int32Array(w).buffer);return MG(l,p,m,f,d,s,h,g,C,w.length,c),u}var zG={kernelName:Ua,backendName:\"wasm\",kernelFunc:Xit,setupFunc:jit};var BG=se(Ns);var VG=se(ks);var GG;function Yit(r){GG=r.wasm.cwrap(Oa,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"array\",\"number\",\"number\"])}function Zit(r){let{backend:t,inputs:e,attrs:n}=r,{indices:o,updates:s}=e,{shape:i}=n,a=t.makeOutput(i,s.dtype);if(y.sizeFromShape(i)===0)return a;let{sliceRank:u,numUpdates:l,sliceSize:c,strides:p,outputSize:m}=oh.calculateShapes(s,o,i),d=t.dataIdMap.get(o.dataId).id,g=t.dataIdMap.get(s.dataId).id,x=new Uint8Array(new Int32Array(p).buffer),b=t.dataIdMap.get(a.dataId).id;return GG(d,g,Ht[s.dtype],u,l,c,x,m,b),a}var WG={kernelName:Oa,backendName:\"wasm\",setupFunc:Yit,kernelFunc:Zit};var UG;function Jit(r){UG=r.wasm.cwrap(\"SelectV2\",null,[\"number\",\"number\",\"number\",\"number\",\"number\"])}function Qit(r){let{inputs:t,backend:e}=r,{condition:n,t:o,e:s}=t,i=e.dataIdMap.get(n.dataId).id,a=e.dataIdMap.get(o.dataId).id,u=e.dataIdMap.get(s.dataId).id,l=e.makeOutput(o.shape,o.dtype),c=e.dataIdMap.get(l.dataId).id,p=n.shape.length,m=o.shape.length,f=p===0||p>1||m===1?1:y.sizeFromShape(o.shape.slice(1));return UG(i,a,u,f,c),l}var HG={kernelName:fi,backendName:\"wasm\",kernelFunc:Qit,setupFunc:Jit};var qG;function tat(r){qG=r.wasm.cwrap(Es,null,[\"number\",\"number\"])}function eat(r){let{backend:t,inputs:{x:e}}=r,n=t.dataIdMap.get(e.dataId).id,o=t.makeOutput(e.shape,e.dtype),s=t.dataIdMap.get(o.dataId).id;return y.sizeFromShape(o.shape)===0||qG(n,s),o}var KG={kernelName:\"Sigmoid\",backendName:\"wasm\",setupFunc:tat,kernelFunc:eat};var jG=se(Ts);var XG;function rat(r){XG=r.wasm.cwrap($s,null,[\"number\",\"number\",\"number\",\"number\"])}function nat(r){let{backend:t,inputs:{logits:e},attrs:{dim:n}}=r,o=t.dataIdMap.get(e.dataId).id,s=t.makeOutput(e.shape,e.dtype),i=t.dataIdMap.get(s.dataId).id,a=e.shape[n],u=y.sizeFromShape(e.shape)/a;return y.sizeFromShape(s.shape)===0||XG(o,i,a,u),s}var YG={kernelName:$s,backendName:\"wasm\",setupFunc:rat,kernelFunc:nat};function oat(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,paddings:i}=n,a=y.sizeFromShape(s),u=[[0,0]];u.push(...i);for(let _=1+s.length;_0?u+1:0;if(c<0)throw new Error(S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let p=o.shape.slice();p[0]=c;let m=e.dataIdMap.get(o.dataId).id,f=e.dataIdMap.get(s.dataId).id,d=e.dataIdMap.get(i.dataId).id,h=e.makeOutput(p,o.dtype),g=e.dataIdMap.get(h.dataId).id,x=e.makeOutput([4],\"int32\"),b=e.dataIdMap.get(x.dataId).id;rW(m,Ht[o.dtype],o.shape[0],f,d,g,b,t,0);let w=e.readSync(x.dataId),C;switch(w[0]){case 0:{C=S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage();break}case 1:{C=S.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage();break}case 2:C=S.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(w[1],w[2]);break;case 3:C=S.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(w[1],w[2],w[3]);break;default:C=\"\"}if(e.disposeData(x.dataId),C)throw e.disposeData(h.dataId),new Error(C);return h}function uat(r){return aI(r,!0)}var nW={kernelName:Ol,backendName:\"wasm\",setupFunc:iI,kernelFunc:uat};function cat(r){return aI(r,!1)}var oW={kernelName:Pl,backendName:\"wasm\",setupFunc:iI,kernelFunc:cat};function pat(r){let{inputs:t,attrs:e,backend:n}=r,{x:o}=t,{numOrSizeSplits:s,axis:i}=e,a=y.parseAxisParam(i,o.shape)[0],u=S.prepareSplitSize(o,s,a),l=new Array(o.shape.length).fill(0),c=o.shape.slice();return u.map(p=>{let m=[...c];m[a]=p;let f=Po({inputs:{x:o},attrs:{begin:l,size:m},backend:n});return l[a]+=p,f})}var sW={kernelName:gi,backendName:\"wasm\",kernelFunc:pat};var iW=se(_s);var aW=se(Ll);var mat=!0,lW=ue(Ds,mat);var uW;function fat(r){uW=r.wasm.cwrap(uo,null,[\"number\",\"number\",\"number\",\"number\"])}function dat(r){let{backend:t,inputs:e,attrs:n}=r,{alpha:o}=n,{x:s}=e,i=t.dataIdMap.get(s.dataId).id,a=t.makeOutput(s.shape,s.dtype),u=t.dataIdMap.get(a.dataId).id;return uW(i,o,Ht[s.dtype],u),a}var cW={kernelName:uo,backendName:\"wasm\",setupFunc:fat,kernelFunc:dat};var pW;function hat(r){pW=r.wasm.cwrap(Va,null,[\"number\",\"array\",\"number\",\"array\",\"array\",\"array\",\"array\",\"array\",\"number\",\"number\"])}function gat(r){let{backend:t,inputs:e,attrs:n}=r,{x:o}=e,{begin:s,end:i,strides:a,beginMask:u,endMask:l,ellipsisMask:c,newAxisMask:p,shrinkAxisMask:m}=n,{finalShapeSparse:f,finalShape:d,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:w,strides:C}=Pe.sliceInfo(o.shape,s,i,a,u,l,c,p,m),N;if(h)N=ir({inputs:{x:o},backend:t,attrs:{shape:d}});else if(g||x){y.assert(o.shape.length>=1,()=>`Input must have rank at least 1, got: ${o.shape.length}`);let _=Pe.computeOutShape(b,w,C),A=Po({inputs:{x:o},backend:t,attrs:{begin:b,size:_}});N=ir({inputs:{x:A},backend:t,attrs:{shape:d}}),t.disposeData(A.dataId)}else{let _=t.makeOutput(f,\"float32\"),A=t.dataIdMap.get(o.dataId).id,$=new Uint8Array(new Int32Array(y.computeStrides(o.shape)).buffer),F=new Uint8Array(new Int32Array(b).buffer),P=new Uint8Array(new Int32Array(w).buffer),V=new Uint8Array(new Int32Array(C).buffer),G=new Uint8Array(new Int32Array(f).buffer),W=new Uint8Array(new Int32Array(y.computeStrides(f)).buffer),q=t.dataIdMap.get(_.dataId).id;pW(A,$,o.shape.length,F,P,V,G,W,f.length,q),N=ir({inputs:{x:_},backend:t,attrs:{shape:d}}),t.disposeData(_.dataId)}return N}var mW={kernelName:Va,backendName:\"wasm\",setupFunc:hat,kernelFunc:gat};function xat(r){let{backend:t,inputs:e,attrs:n}=r,{data:o,dataSplits:s}=e,{separator:i,nGramWidths:a,leftPad:u,rightPad:l,padWidth:c,preserveShortSequences:p}=n,m=t.readSync(o.dataId),f=t.readSync(s.dataId),[d,h]=Dc(m,f,i,a,u,l,c,p),g=t.makeOutput([d.length],\"string\"),x=t.dataIdMap.get(g.dataId);x.stringBytes=d;let b=t.makeOutput(s.shape,\"int32\");return t.typedArrayFromHeap(b).set(h),[g,b]}var fW={kernelName:Ml,backendName:\"wasm\",kernelFunc:xat};function yat(r){let{backend:t,inputs:e,attrs:n}=r,{input:o,delimiter:s}=e,{skipEmpty:i}=n,a=t.readSync(o.dataId),u=t.readSync(s.dataId),[l,c,p]=Rc(a,u[0],i),m=c.length,f=t.makeOutput([m,2],\"int32\");t.typedArrayFromHeap(f).set(l);let h=t.makeOutput([m],\"string\"),g=t.dataIdMap.get(h.dataId);g.stringBytes=c;let x=t.makeOutput([2],\"int32\");return t.typedArrayFromHeap(x).set(p),[f,h,x]}var dW={kernelName:zl,backendName:\"wasm\",kernelFunc:yat};function bat(r){let{backend:t,inputs:e,attrs:n}=r,{input:o}=e,{numBuckets:s}=n,i=t.readSync(o.dataId),a=Fc(i,s),u=t.makeOutput(o.shape,\"int32\");return t.typedArrayFromHeap(u).set(a),u}var hW={kernelName:Bl,backendName:\"wasm\",kernelFunc:bat};var wat=!0,gW=ue(Rs,wat);var xW;function Cat(r){xW=r.wasm.cwrap(As,null,[\"number\",\"number\",\"number\",\"number\"])}function Iat(r){let{backend:t,inputs:e,attrs:n}=r,{axis:o,keepDims:s}=n,{x:i}=e,a=t.dataIdMap.get(i.dataId).id,u=a,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=yn(i,o,t),d=p;if(f){let w=t.dataIdMap.get(c.dataId).id;w!==a&&(l=c,u=w,d=S.getInnerMostAxes(d.length,l.shape.length))}S.assertAxesAreInnerMostDims(\"sum\",d,l.shape.length);let[h,g]=S.computeOutAndReduceShapes(l.shape,d),x=y.sizeFromShape(g),b=t.makeOutput(h,l.dtype);if(y.sizeFromShape(l.shape)!==0){let w=t.dataIdMap.get(b.dataId).id;xW(u,x,Ht[b.dtype],w)}if(f&&t.disposeData(c.dataId),s){let w=S.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var yW={kernelName:As,backendName:\"wasm\",setupFunc:Cat,kernelFunc:Iat};var bW=se(Fs);var wW=se(Os);var CW;function vat(r){CW=r.wasm.cwrap(Zn,null,[\"number\",\"array\",\"number\",\"array\",\"number\",\"number\"])}function Sat(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,s=e.dataIdMap.get(o.dataId).id,{reps:i}=n,a=new Array(o.shape.length);for(let m=0;m{let{x:n}=r,{k:o,sorted:s}=e,i=t.dataIdMap.get(n.dataId).id,a=new Uint8Array(new Int32Array(n.shape).buffer),u=n.shape.slice();u[u.length-1]=o;let l=t.makeOutput(u,n.dtype),c=t.dataIdMap.get(l.dataId).id,p=t.makeOutput(u,\"int32\"),m=t.dataIdMap.get(p.dataId).id;return vW(i,a,n.shape.length,Ht[n.dtype],o,s,c,m),[l,p]},SW={kernelName:Ga,backendName:\"wasm\",setupFunc:Nat,kernelFunc:kat};var NW;function Tat(r){NW=r.wasm.cwrap(Wa,null,[\"number\",\"number\",\"bool\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"array\",\"number\",\"array\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Eat(r){let{backend:t,inputs:e,attrs:n}=r,{image:o,transforms:s}=e,{interpolation:i,fillMode:a,fillValue:u,outputShape:l}=n,[c,p,m,f]=o.shape,[d,h]=l!=null?l:[p,m],g=[c,d,h,f],x=new Uint8Array(new Int32Array(y.computeStrides(o.shape)).buffer),b=new Uint8Array(new Int32Array(y.computeStrides(g)).buffer),w=t.makeOutput(g,o.dtype),C=t.dataIdMap.get(w.dataId).id,_=t.dataIdMap.get(o.dataId).id,$=t.dataIdMap.get(s.dataId).id,F=i===\"nearest\"?1:2,P;switch(a){case\"constant\":P=1;break;case\"reflect\":P=2;break;case\"wrap\":P=3;break;case\"nearest\":P=4;break;default:P=1;break}return NW(_,$,s.shape[0]>1,c,d,h,f,m,p,x,o.shape.length-1,b,g.length-1,F,P,u,C),w}var kW={kernelName:Wa,backendName:\"wasm\",setupFunc:Tat,kernelFunc:Eat};function _at(r){let{inputs:t,backend:e,attrs:n}=r,{value:o}=t,{axis:s}=n;s<0&&(s+=o.shape.length);let i=o.shape[s],a=o.shape.length,u=new Array(a-1),l=0;for(let f=0;f({dataId:f,dtype:d,shape:u}))}var TW={kernelName:xi,backendName:\"wasm\",kernelFunc:_at};function Aat(r){let{inputs:{x:t},backend:e}=r,n=e.makeOutput(t.shape,t.dtype);return e.typedArrayFromHeap(n).fill(0),n}var EW={kernelName:yi,backendName:\"wasm\",kernelFunc:Aat};var $at=[RB,FB,OB,LB,GB,UB,qB,jB,ZB,QB,tV,eV,nV,oV,iV,lV,uV,cV,mV,dV,gV,yV,wV,CV,IV,vV,SV,NV,TV,EV,_V,$V,RV,OV,LV,zV,BV,VV,MB,WV,UV,HV,qV,KV,jV,XV,YV,JV,QV,eG,nG,sG,iG,lG,uG,cG,mG,dG,gG,xG,bG,wG,CG,sI,vG,NG,TG,EG,_G,AG,$G,XB,RG,OG,LG,zG,BG,VG,WG,HG,KG,jG,JB,YG,ZG,QG,eW,nW,oW,sW,iW,aW,lW,cW,mW,fW,dW,hW,gW,yW,bW,wW,IW,SW,kW,BB,TW,EW];for(let r of $at)Pu(r);var ET=M();ET.registerFlag(\"WASM_HAS_SIMD_SUPPORT\",async()=>{try{return WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,10,9,1,7,0,65,0,253,15,26,11]))}catch(r){return!1}});ET.registerFlag(\"WASM_HAS_MULTITHREAD_SUPPORT\",async()=>{if(ET.get(\"IS_NODE\"))return!1;try{return new MessageChannel().port1.postMessage(new SharedArrayBuffer(1)),WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,5,4,1,3,1,1,10,11,1,9,0,65,0,254,16,2,0,26,11]))}catch(r){return!1}});var FT=Sl(DW()),MW=Sl(FW()),OT=Sl(OW());var PW=FT.default||FT,Dat=OT.default||OT,sg=class extends Mo{constructor(t){super(),this.wasm=t,this.dataIdNextNumber=1,this.wasm.tfjs.initWithThreadsCount(BW),RT=this.wasm.tfjs.getThreadsCount(),this.dataIdMap=new ta(this,ho())}write(t,e,n){let o={id:this.dataIdNextNumber++};return this.move(o,t,e,n,1),o}numDataIds(){return this.dataIdMap.numDataIds()}async time(t){let e=y.now();return t(),{kernelMs:y.now()-e}}move(t,e,n,o,s){let i=this.dataIdNextNumber++;if(o===\"string\"){let c=e;this.dataIdMap.set(t,{id:i,stringBytes:c,shape:n,dtype:o,memoryOffset:null,refCount:s});return}let a=y.sizeFromShape(n),u=a*y.bytesPerElement(o),l=this.wasm._malloc(u);this.dataIdMap.set(t,{id:i,memoryOffset:l,shape:n,dtype:o,refCount:s}),this.wasm.tfjs.registerTensor(i,a,l),e!=null&&this.wasm.HEAPU8.set(new Uint8Array(e.buffer,e.byteOffset,u),l)}async read(t){return this.readSync(t)}readSync(t,e,n){let{memoryOffset:o,dtype:s,shape:i,stringBytes:a}=this.dataIdMap.get(t);if(s===\"string\")return(e==null||e===0)&&(n==null||n>=a.length)?a:a.slice(e,n);e=e||0,n=n||y.sizeFromShape(i);let u=y.bytesPerElement(s),l=this.wasm.HEAPU8.slice(o+e*u,o+n*u);return Fat(l.buffer,s)}disposeData(t,e=!1){if(this.dataIdMap.has(t)){let n=this.dataIdMap.get(t);if(n.refCount--,!e&&n.refCount>0)return!1;this.wasm._free(n.memoryOffset),this.wasm.tfjs.disposeData(n.id),this.dataIdMap.delete(t)}return!0}refCount(t){return this.dataIdMap.has(t)?this.dataIdMap.get(t).refCount:0}incRef(t){let e=this.dataIdMap.get(t);e!=null&&e.refCount++}floatPrecision(){return 32}getMemoryOffset(t){return this.dataIdMap.get(t).memoryOffset}dispose(){this.wasm.tfjs.dispose(),\"PThread\"in this.wasm&&this.wasm.PThread.terminateAllThreads(),this.wasm=null}memory(){return{unreliable:!1}}makeOutput(t,e,n){let o;if(n==null)o=this.write(null,t,e);else{let s=this.dataIdNextNumber++;o={id:s},this.dataIdMap.set(o,{id:s,memoryOffset:n,shape:t,dtype:e,refCount:1});let i=y.sizeFromShape(t);this.wasm.tfjs.registerTensor(s,i,n)}return{dataId:o,shape:t,dtype:e}}typedArrayFromHeap({shape:t,dtype:e,dataId:n}){let o=this.wasm.HEAPU8.buffer,{memoryOffset:s}=this.dataIdMap.get(n),i=y.sizeFromShape(t);switch(e){case\"float32\":return new Float32Array(o,s,i);case\"int32\":return new Int32Array(o,s,i);case\"bool\":return new Uint8Array(o,s,i);default:throw new Error(`Unknown dtype ${e}`)}}};function Rat(r){return(t,e)=>(y.fetch(r,{credentials:\"same-origin\"}).then(n=>{n.ok||t.env.a(`failed to load wasm binary file at '${r}'`),n.arrayBuffer().then(o=>{WebAssembly.instantiate(o,t).then(s=>{e(s.instance,s.module)})})}),{})}function LW(r,t,e){if(cI!=null)return cI;let n=\"tfjs-backend-wasm.wasm\";return r&&t?n=\"tfjs-backend-wasm-threaded-simd.wasm\":r&&(n=\"tfjs-backend-wasm-simd.wasm\"),ng!=null&&ng[n]!=null?ng[n]:e+n}async function zW(){let[r,t]=await Promise.all([M().getAsync(\"WASM_HAS_SIMD_SUPPORT\"),M().getAsync(\"WASM_HAS_MULTITHREAD_SUPPORT\")]);return new Promise((e,n)=>{let o={};o.locateFile=(a,u)=>{if(a.endsWith(\".worker.js\")){let l=MW.wasmWorkerContents.replace(/\\n/g,\"\\\\n\"),c=new Blob([l],{type:\"application/javascript\"});return URL.createObjectURL(c)}return a.endsWith(\".wasm\")?LW(r,t,rg!=null?rg:u):u+a},PT&&(o.instantiateWasm=Rat(LW(r,t,rg!=null?rg:\"\")));let s=!1;o.onAbort=()=>{if(s||og)return;og=!0,n({message:\"Make sure the server can serve the `.wasm` file relative to the bundled js file. For more details see https://github.com/tensorflow/tfjs/blob/master/tfjs-backend-wasm/README.md#using-bundlers\"})};let i;t&&r&&cI==null?(o.mainScriptUrlOrBlob=new Blob([\"var WasmBackendModuleThreadedSimd = \"+PW.toString()],{type:\"text/javascript\"}),i=PW(o)):i=Dat(o),i.then(a=>{s=!0,og=!1;let u=null;a.tfjs={init:a.cwrap(\"init\",null,[]),initWithThreadsCount:a.cwrap(\"init_with_threads_count\",null,[\"number\"]),getThreadsCount:a.cwrap(\"get_threads_count\",\"number\",[]),registerTensor:a.cwrap(\"register_tensor\",null,[\"number\",\"number\",\"number\"]),disposeData:a.cwrap(\"dispose_data\",u,[\"number\"]),dispose:a.cwrap(\"dispose\",u,[])},e({wasm:a})}).catch(n)})}function Fat(r,t){switch(t){case\"float32\":return new Float32Array(r);case\"int32\":return new Int32Array(r);case\"bool\":return new Uint8Array(r);default:throw new Error(`Unknown dtype ${t}`)}}var Oat=[\"tfjs-backend-wasm.wasm\",\"tfjs-backend-wasm-simd.wasm\",\"tfjs-backend-wasm-threaded-simd.wasm\"],cI=null,rg=null,ng={},og=!1,PT=!1;function Pat(r,t=!1){if(MS(\"setWasmPath has been deprecated in favor of setWasmPaths and will be removed in a future release.\"),og)throw new Error(\"The WASM backend was already initialized. Make sure you call `setWasmPath()` before you call `tf.setBackend()` or `tf.ready()`\");cI=r,PT=t}function Lat(r,t=!1){if(og)throw new Error(\"The WASM backend was already initialized. Make sure you call `setWasmPaths()` before you call `tf.setBackend()` or `tf.ready()`\");if(typeof r==\"string\")rg=r;else{ng=r;let e=Oat.filter(n=>ng[n]==null);if(e.length>0)throw new Error(`There were no entries found for the following binaries: ${e.join(\",\")}. Please either call setWasmPaths with a map providing a path for each binary, or with a string indicating the directory where all the binaries can be found.`)}PT=t}var BW=-1,RT=-1;function Mat(r){BW=r}function zat(){if(RT===-1)throw new Error(\"WASM backend not initialized.\");return RT}var Bat=\"3.21.0\";var Vat=2;jp(\"wasm\",async()=>{let{wasm:r}=await zW();return new sg(r)},Vat);var Gat=\"3.21.0\",Wat=\"3.21.0\",Uat=\"3.21.0\",Hat=\"3.21.0\",qat=\"3.21.0\",Kat=\"3.21.0\",jat=\"3.21.0\",Xat=\"3.21.0\",Yat={tfjs:Gat,\"tfjs-core\":Wat,\"tfjs-data\":Uat,\"tfjs-layers\":Hat,\"tfjs-converter\":qat,\"tfjs-backend-cpu\":Kat,\"tfjs-backend-webgl\":jat,\"tfjs-backend-wasm\":Xat};export{oi as Abs,ra as Acos,na as Acosh,uu as AdadeltaOptimizer,cu as AdagradOptimizer,pu as AdamOptimizer,mu as AdamaxOptimizer,Yn as Add,Vo as AddN,oa as All,sa as Any,Go as ArgMax,Nl as ArgMin,ia as Asin,aa as Asinh,la as Atan,ca as Atan2,ua as Atanh,Wo as AvgPool,kl as AvgPool3D,lp as AvgPool3DGrad,ap as AvgPoolGrad,sg as BackendWasm,Uo as BatchMatMul,si as BatchToSpaceND,up as Bincount,cp as BroadcastArgs,i1 as BroadcastTo,yb as Callback,$y as CallbackList,io as Cast,Ho as Ceil,ao as ClipByValue,pp as Complex,Tl as ComplexAbs,ii as Concat,qo as Conv2D,mp as Conv2DBackpropFilter,Ko as Conv2DBackpropInput,El as Conv3D,fp as Conv3DBackpropFilterV2,dp as Conv3DBackpropInputV2,jo as Cos,Xo as Cosh,ma as CropAndResize,pa as Cumprod,Yo as Cumsum,Ry as CustomCallback,ta as DataStorage,hp as DenseBincount,fa as DepthToSpace,Zo as DepthwiseConv2dNative,gp as DepthwiseConv2dNativeBackpropFilter,xp as DepthwiseConv2dNativeBackpropInput,yp as Diag,_l as Dilation2D,Hd as Dilation2DBackpropFilter,Ud as Dilation2DBackpropInput,eS as ENV,bb as EarlyStopping,bp as Einsum,Qo as Elu,wp as EluGrad,Gd as Environment,ha as Equal,da as Erf,ts as Exp,ai as ExpandDims,ga as Expm1,Cp as FFT,Al as Fill,xa as FlipLeftRight,es as Floor,rs as FloorDiv,qd as FromPixels,ns as FusedBatchNorm,wi as FusedConv2D,Ci as FusedDepthwiseConv2D,Bc as GPGPUContext,ya as GatherNd,li as GatherV2,$h as GraphModel,ba as Greater,os as GreaterEqual,Dy as History,Ip as IFFT,lo as Identity,vp as Imag,ye as InputSpec,wa as IsFinite,Ca as IsInf,Ia as IsNan,Mo as KernelBackend,$l as LRN,Np as LRNGrad,gh as LayerVariable,Mn as LayersModel,ss as LeakyRelu,va as Less,Sa as LessEqual,Sp as LinSpace,is as Log,Na as Log1p,l1 as LogSoftmax,ka as LogicalAnd,Ta as LogicalNot,Ea as LogicalOr,a1 as LogicalXor,rlt as LowerBound,Eu as MathBackendWebGL,as as Max,us as MaxPool,Dl as MaxPool3D,Tp as MaxPool3DGrad,kp as MaxPoolGrad,Ep as MaxPoolWithArgmax,ls as Maximum,cs as Mean,ps as Min,ms as Minimum,fs as MirrorPad,_a as Mod,fu as MomentumOptimizer,_p as Multinomial,ds as Multiply,ui as Neg,$a as NonMaxSuppressionV3,Da as NonMaxSuppressionV4,Ra as NonMaxSuppressionV5,Aa as NotEqual,IS as OP_SCOPE_SUFFIX,hs as OneHot,ci as OnesLike,Gr as Optimizer,Vs as OptimizerConstructors,pi as Pack,gs as PadV2,nlt as Pool,xs as Pow,ys as Prelu,bs as Prod,du as RMSPropOptimizer,Nn as RNN,Ap as RaggedGather,$p as RaggedTensorToTensor,Rl as Range,mS as Rank,Dp as Real,Jo as RealDiv,Fa as Reciprocal,Xe as Reduction,ws as Relu,vs as Relu6,mi as Reshape,Is as ResizeBilinear,Fp as ResizeBilinearGrad,Cs as ResizeNearestNeighbor,Rp as ResizeNearestNeighborGrad,Ss as Reverse,Ua as RotateWithOffset,Ns as Round,ks as Rsqrt,Mi as SGDOptimizer,Oa as ScatterNd,Op as SearchSorted,fi as Select,Pa as Selu,Ui as Sequential,Es as Sigmoid,Ma as Sign,Ts as Sin,La as Sinh,di as Slice,$s as Softmax,za as Softplus,hi as SpaceToBatchND,Fl as SparseFillEmptyRows,Ba as SparseReshape,Ol as SparseSegmentMean,Pl as SparseSegmentSum,Pp as SparseToDense,gi as SplitV,_s as Sqrt,Ll as Square,Ds as SquaredDifference,uo as Step,Va as StridedSlice,Ml as StringNGrams,zl as StringSplit,Bl as StringToHashBucketFast,Rs as Sub,As as Sum,Jr as SymbolicTensor,Fs as Tan,Os as Tanh,Ft as Tensor,pe as TensorBuffer,Zn as Tile,Ga as TopK,Wa as Transform,Jn as Transpose,Lp as Unique,xi as Unpack,Vl as UnsortedSegmentSum,olt as UpperBound,Ha as Variable,yi as ZerosLike,bi as _FusedMatMul,Ee as abs,rx as acos,nx as acosh,X as add,DE as addN,Yp as all,Hu as any,Ei as argMax,ox as argMin,sx as asin,ix as asinh,ax as atan,lx as atan2,ux as atanh,jl as avgPool,px as avgPool3d,pE as backend,S as backend_util,OE as basicLSTMCell,Ai as batchNorm,mx as batchNorm2d,fx as batchNorm3d,dx as batchNorm4d,Xl as batchToSpaceND,hx as bincount,Uj as booleanMaskAsync,LE as broadcastArgs,$i as broadcastTo,zr as broadcast_util,Jg as browser,wt as buffer,NZ as callbacks,J as cast,gx as ceil,Cr as clipByValue,sn as clone,bn as complex,ne as concat,xx as concat1d,yx as concat2d,bx as concat3d,wx as concat4d,G$ as constraints,Jp as conv1d,Cn as conv2d,tm as conv2dTranspose,Cx as conv3d,vx as conv3dTranspose,plt as copyRegisteredKernels,Yl as cos,em as cosh,ch as cosineWindow,ju as cumprod,rm as cumsum,ln as customGrad,vR as data,ME as denseBincount,MS as deprecationWarn,Sx as depthToSpace,Di as depthwiseConv2d,_Z as deregisterOp,Hl as device_util,zE as diag,Nx as dilation2d,ept as disableDeprecationWarnings,St as dispose,rpt as disposeVariables,pt as div,kx as divNoNan,Tx as dot,n0 as dropout,BE as einsum,Ri as elu,tpt as enableDebugMode,Qct as enableProdMode,o0 as enclosingPowerOfTwo,ho as engine,M as env,Ar as equal,Ex as erf,_x as euclideanNorm,er as exp,gr as expandDims,Ax as expm1,Yu as eye,su as fft,go as fill,lpt as findBackend,upt as findBackendFactory,Fi as floor,Xp as floorDiv,sM as forceHalfFloat,au as fused,Oi as gather,Qj as gatherND,Qg as gather_util,ipt as getBackend,oS as getGradient,jd as getKernel,Fg as getKernelsForBackend,zat as getThreadsCount,eT as gpgpu_util,aK as grad,lK as grads,He as greater,Fn as greaterEqual,Za as ifft,Kl as imag,lu as image,r6 as inTopKAsync,W$ as initializers,$0 as input,Er as io,gm as irfft,$x as isFinite,Dx as isInf,Rx as isNaN,De as keep,Wr as kernel_impls,CD as layers,Zl as leakyRelu,nm as less,On as lessEqual,i0 as linalg,WE as linspace,I7 as loadGraphModel,v7 as loadGraphModelSync,O8 as loadLayersModel,Fx as localResponseNormalization,Ir as log,Jl as log1p,Lx as logSigmoid,om as logSoftmax,sm as logSumExp,Dr as logicalAnd,Ql as logicalNot,im as logicalOr,Mx as logicalXor,rX as losses,UE as lowerBound,Lt as matMul,fE as math,Br as max,tu as maxPool,Bx as maxPool3d,HE as maxPoolWithArgmax,In as maximum,Se as mean,nh as memory,qE as meshgrid,ID as metrics,Xu as min,Pi as minimum,Vx as mirrorPad,Gx as mod,R8 as model,vD as models,Zu as moments,qj as movingAverage,R as mul,KE as multiRNNCell,jE as multinomial,Ut as neg,ph as nextFrame,Ya as norm,zs as notEqual,ki as oneHot,lr as ones,xr as onesLike,k as op,XE as outerProduct,un as pad,YE as pad1d,ZE as pad2d,JE as pad3d,QE as pad4d,Wx as pool,an as pow,ru as prelu,Kg as print,Ux as prod,npt as profile,t_ as raggedGather,e_ as raggedTensorToTensor,r_ as rand,b_ as randomGamma,tc as randomNormal,w_ as randomStandardNormal,Li as randomUniform,nu as range,spt as ready,Xa as real,Xx as reciprocal,jp as registerBackend,P8 as registerCallbackConstructor,c1 as registerGradient,Pu as registerKernel,EZ as registerOp,SD as regularizers,Rr as relu,am as relu6,apt as removeBackend,D as reshape,ur as reverse,C_ as reverse1d,I_ as reverse2d,v_ as reverse3d,S_ as reverse4d,iu as rfft,lm as round,um as rsqrt,mt as scalar,jj as scatterND,oh as scatter_util,ah as searchSorted,cm as selu,pm as separableConv2d,F8 as sequential,Q as serialization,G4 as setBackend,cpt as setPlatform,Mat as setThreadsCount,Pat as setWasmPath,Lat as setWasmPaths,hk as setWebGLContext,N_ as setdiff1dAsync,Xr as sigmoid,Yx as sign,eX as signal,mm as sin,fm as sinh,Dt as slice,dm as slice1d,uh as slice2d,hm as slice3d,ec as slice4d,Pe as slice_util,ou as softmax,Ms as softplus,eu as spaceToBatchND,nX as sparse,Zj as sparseToDense,tX as spectral,cr as split,ve as sqrt,Mt as square,xm as squaredDifference,Pn as squeeze,rr as stack,yo as step,Zx as stridedSlice,oX as string,ct as sub,ft as sum,Gu as sumOutType,Jx as tan,_i as tanh,wr as tensor,Le as tensor1d,Bs as tensor2d,Zg as tensor3d,k_ as tensor4d,T_ as tensor5d,E_ as tensor6d,fo as tensor_util,AE as test_util,B as tidy,$r as tile,opt as time,Qx as topk,ic as train,Ot as transpose,ym as truncatedNormal,ty as unique,clt as unregisterGradient,ult as unregisterKernel,bm as unsortedSegmentSum,vr as unstack,or as upcastType,__ as upperBound,y as util,uK as valueAndGrad,cK as valueAndGrads,ey as variable,Ox as variableGrads,Yat as version,nR as version_converter,$E as version_core,Wm as version_layers,Bat as version_wasm,oM as version_webgl,oTe as webgl,cd as webgl_util,_e as where,ny as whereAsync,Ne as zeros,It as zerosLike};\n", "export * from './drawContour';\nexport * from './drawDetections';\nexport * from './drawFaceExpressions';\nexport * from './DrawBox';\nexport * from './DrawFaceLandmarks';\nexport * from './DrawTextField';\n", "import { Point } from '../classes/index';\n\nexport function drawContour(\n ctx: CanvasRenderingContext2D,\n points: Point[],\n isClosed = false,\n) {\n ctx.beginPath();\n\n points.slice(1).forEach(({ x, y }, prevIdx) => {\n const from = points[prevIdx];\n ctx.moveTo(from.x, from.y);\n ctx.lineTo(x, y);\n });\n\n if (isClosed) {\n const from = points[points.length - 1];\n const to = points[0];\n if (!from || !to) {\n return;\n }\n\n ctx.moveTo(from.x, from.y);\n ctx.lineTo(to.x, to.y);\n }\n\n ctx.stroke();\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { Point } from '../classes/index';\nimport { Dimensions, IDimensions } from '../classes/Dimensions';\n\nexport function isTensor(tensor: any, dim: number) {\n return tensor instanceof tf.Tensor && tensor.shape.length === dim;\n}\n\nexport function isTensor1D(tensor: any): tensor is tf.Tensor1D {\n return isTensor(tensor, 1);\n}\n\nexport function isTensor2D(tensor: any): tensor is tf.Tensor2D {\n return isTensor(tensor, 2);\n}\n\nexport function isTensor3D(tensor: any): tensor is tf.Tensor3D {\n return isTensor(tensor, 3);\n}\n\nexport function isTensor4D(tensor: any): tensor is tf.Tensor4D {\n return isTensor(tensor, 4);\n}\n\nexport function isFloat(num: number) {\n return num % 1 !== 0;\n}\n\nexport function isEven(num: number) {\n return num % 2 === 0;\n}\n\nexport function round(num: number, prec = 2) {\n const f = 10 ** prec;\n return Math.floor(num * f) / f;\n}\n\nexport function isDimensions(obj: any): boolean {\n return obj && obj.width && obj.height;\n}\n\nexport function computeReshapedDimensions({ width, height }: IDimensions, inputSize: number) {\n const scale = inputSize / Math.max(height, width);\n return new Dimensions(Math.round(width * scale), Math.round(height * scale));\n}\n\nexport function getCenterPoint(pts: Point[]): Point {\n return pts.reduce((sum, pt) => sum.add(pt), new Point(0, 0))\n .div(new Point(pts.length, pts.length));\n}\n\nexport function range(num: number, start: number, step: number): number[] {\n return Array(num).fill(0).map((_, i) => start + (i * step));\n}\n\nexport function isValidNumber(num: any) {\n return !!num && (num !== Infinity) && (num !== -Infinity) && !Number.isNaN(num) || num === 0;\n}\n\nexport function isValidProbablitiy(num: any) {\n return isValidNumber(num) && num >= 0 && num <= 1.0;\n}\n", "import { isValidNumber } from '../utils/index';\n\nexport interface IDimensions {\n width: number\n height: number\n}\n\nexport class Dimensions implements IDimensions {\n private _width: number;\n\n private _height: number;\n\n constructor(width: number, height: number) {\n if (!isValidNumber(width) || !isValidNumber(height)) {\n throw new Error(`Dimensions.constructor - expected width and height to be valid numbers, instead have ${JSON.stringify({ width, height })}`);\n }\n\n this._width = width;\n this._height = height;\n }\n\n public get width(): number { return this._width; }\n\n public get height(): number { return this._height; }\n\n public reverse(): Dimensions {\n return new Dimensions(1 / this.width, 1 / this.height);\n }\n}\n", "export interface IPoint {\n x: number\n y: number\n}\n\nexport class Point implements IPoint {\n private _x: number;\n\n private _y: number;\n\n constructor(x: number, y: number) {\n this._x = x;\n this._y = y;\n }\n\n get x(): number { return this._x; }\n\n get y(): number { return this._y; }\n\n public add(pt: IPoint): Point {\n return new Point(this.x + pt.x, this.y + pt.y);\n }\n\n public sub(pt: IPoint): Point {\n return new Point(this.x - pt.x, this.y - pt.y);\n }\n\n public mul(pt: IPoint): Point {\n return new Point(this.x * pt.x, this.y * pt.y);\n }\n\n public div(pt: IPoint): Point {\n return new Point(this.x / pt.x, this.y / pt.y);\n }\n\n public abs(): Point {\n return new Point(Math.abs(this.x), Math.abs(this.y));\n }\n\n public magnitude(): number {\n return Math.sqrt((this.x ** 2) + (this.y ** 2));\n }\n\n public floor(): Point {\n return new Point(Math.floor(this.x), Math.floor(this.y));\n }\n}\n", "import { isDimensions, isValidNumber } from '../utils/index';\nimport { IBoundingBox } from './BoundingBox';\nimport { IDimensions } from './Dimensions';\nimport { Point } from './Point';\nimport { IRect } from './Rect';\n\nexport class Box implements IBoundingBox, IRect {\n public static isRect(rect: any): boolean {\n return !!rect && [rect.x, rect.y, rect.width, rect.height].every(isValidNumber);\n }\n\n public static assertIsValidBox(box: any, callee: string, allowNegativeDimensions = false) {\n if (!Box.isRect(box)) {\n throw new Error(`${callee} - invalid box: ${JSON.stringify(box)}, expected object with properties x, y, width, height`);\n }\n\n if (!allowNegativeDimensions && (box.width < 0 || box.height < 0)) {\n throw new Error(`${callee} - width (${box.width}) and height (${box.height}) must be positive numbers`);\n }\n }\n\n private _x: number;\n\n private _y: number;\n\n private _width: number;\n\n private _height: number;\n\n constructor(_box: IBoundingBox | IRect, allowNegativeDimensions = true) {\n const box = (_box || {}) as any;\n\n const isBbox = [box.left, box.top, box.right, box.bottom].every(isValidNumber);\n const isRect = [box.x, box.y, box.width, box.height].every(isValidNumber);\n\n if (!isRect && !isBbox) {\n throw new Error(`Box.constructor - expected box to be IBoundingBox | IRect, instead have ${JSON.stringify(box)}`);\n }\n\n const [x, y, width, height] = isRect\n ? [box.x, box.y, box.width, box.height]\n : [box.left, box.top, box.right - box.left, box.bottom - box.top];\n\n Box.assertIsValidBox({\n x, y, width, height,\n }, 'Box.constructor', allowNegativeDimensions);\n\n this._x = x;\n this._y = y;\n this._width = width;\n this._height = height;\n }\n\n public get x(): number { return this._x; }\n\n public get y(): number { return this._y; }\n\n public get width(): number { return this._width; }\n\n public get height(): number { return this._height; }\n\n public get left(): number { return this.x; }\n\n public get top(): number { return this.y; }\n\n public get right(): number { return this.x + this.width; }\n\n public get bottom(): number { return this.y + this.height; }\n\n public get area(): number { return this.width * this.height; }\n\n public get topLeft(): Point { return new Point(this.left, this.top); }\n\n public get topRight(): Point { return new Point(this.right, this.top); }\n\n public get bottomLeft(): Point { return new Point(this.left, this.bottom); }\n\n public get bottomRight(): Point { return new Point(this.right, this.bottom); }\n\n public round(): Box {\n const [x, y, width, height] = [this.x, this.y, this.width, this.height]\n .map((val) => Math.round(val));\n return new Box({\n x, y, width, height,\n });\n }\n\n public floor(): Box {\n const [x, y, width, height] = [this.x, this.y, this.width, this.height]\n .map((val) => Math.floor(val));\n return new Box({\n x, y, width, height,\n });\n }\n\n public toSquare(): Box {\n let {\n x, y, width, height,\n } = this;\n const diff = Math.abs(width - height);\n if (width < height) {\n x -= (diff / 2);\n width += diff;\n }\n if (height < width) {\n y -= (diff / 2);\n height += diff;\n }\n\n return new Box({ x, y, width, height });\n }\n\n public rescale(s: IDimensions | number): Box {\n const scaleX = isDimensions(s) ? (s as IDimensions).width : s as number;\n const scaleY = isDimensions(s) ? (s as IDimensions).height : s as number;\n return new Box({\n x: this.x * scaleX,\n y: this.y * scaleY,\n width: this.width * scaleX,\n height: this.height * scaleY,\n });\n }\n\n public pad(padX: number, padY: number): Box {\n const [x, y, width, height] = [\n this.x - (padX / 2),\n this.y - (padY / 2),\n this.width + padX,\n this.height + padY,\n ];\n return new Box({ x, y, width, height });\n }\n\n public clipAtImageBorders(imgWidth: number, imgHeight: number): Box {\n const { x, y, right, bottom } = this;\n const clippedX = Math.max(x, 0);\n const clippedY = Math.max(y, 0);\n\n const newWidth = right - clippedX;\n const newHeight = bottom - clippedY;\n const clippedWidth = Math.min(newWidth, imgWidth - clippedX);\n const clippedHeight = Math.min(newHeight, imgHeight - clippedY);\n\n return (new Box({ x: clippedX, y: clippedY, width: clippedWidth, height: clippedHeight })).floor();\n }\n\n public shift(sx: number, sy: number): Box {\n const { width, height } = this;\n const x = this.x + sx;\n const y = this.y + sy;\n\n return new Box({ x, y, width, height });\n }\n\n public padAtBorders(imageHeight: number, imageWidth: number) {\n const w = this.width + 1;\n const h = this.height + 1;\n\n const dx = 1;\n const dy = 1;\n let edx = w;\n let edy = h;\n\n let x = this.left;\n let y = this.top;\n let ex = this.right;\n let ey = this.bottom;\n\n if (ex > imageWidth) {\n edx = -ex + imageWidth + w;\n ex = imageWidth;\n }\n if (ey > imageHeight) {\n edy = -ey + imageHeight + h;\n ey = imageHeight;\n }\n if (x < 1) {\n edy = 2 - x;\n x = 1;\n }\n if (y < 1) {\n edy = 2 - y;\n y = 1;\n }\n\n return { dy, edy, dx, edx, y, ey, x, ex, w, h };\n }\n\n public calibrate(region: Box) {\n return new Box({\n left: this.left + (region.left * this.width),\n top: this.top + (region.top * this.height),\n right: this.right + (region.right * this.width),\n bottom: this.bottom + (region.bottom * this.height),\n }).toSquare().round();\n }\n}\n", "import { Box } from './Box';\n\nexport interface IBoundingBox {\n left: number\n top: number\n right: number\n bottom: number\n}\n\nexport class BoundingBox extends Box implements IBoundingBox {\n constructor(left: number, top: number, right: number, bottom: number, allowNegativeDimensions = false) {\n super({ left, top, right, bottom }, allowNegativeDimensions);\n }\n}\n", "import { Box } from './Box';\nimport { Dimensions, IDimensions } from './Dimensions';\nimport { IRect, Rect } from './Rect';\n\nexport class ObjectDetection {\n private _score: number;\n\n private _classScore: number;\n\n private _className: string;\n\n private _box: Rect;\n\n private _imageDims: Dimensions;\n\n constructor(\n score: number,\n classScore: number,\n className: string,\n relativeBox: IRect,\n imageDims: IDimensions,\n ) {\n this._imageDims = new Dimensions(imageDims.width, imageDims.height);\n this._score = score;\n this._classScore = classScore;\n this._className = className;\n this._box = new Box(relativeBox).rescale(this._imageDims);\n }\n\n public get score(): number { return this._score; }\n\n public get classScore(): number { return this._classScore; }\n\n public get className(): string { return this._className; }\n\n public get box(): Box { return this._box; }\n\n public get imageDims(): Dimensions { return this._imageDims; }\n\n public get imageWidth(): number { return this.imageDims.width; }\n\n public get imageHeight(): number { return this.imageDims.height; }\n\n public get relativeBox(): Box { return new Box(this._box).rescale(this.imageDims.reverse()); }\n\n public forSize(width: number, height: number): ObjectDetection {\n return new ObjectDetection(\n this.score,\n this.classScore,\n this.className,\n this.relativeBox,\n { width, height },\n );\n }\n}\n", "import { Box } from './Box';\nimport { IDimensions } from './Dimensions';\nimport { ObjectDetection } from './ObjectDetection';\nimport { Rect } from './Rect';\n\nexport interface IFaceDetecion {\n score: number\n box: Box\n}\n\nexport class FaceDetection extends ObjectDetection implements IFaceDetecion {\n constructor(\n score: number,\n relativeBox: Rect,\n imageDims: IDimensions,\n ) {\n super(score, score, '', relativeBox, imageDims);\n }\n\n public override forSize(width: number, height: number): FaceDetection {\n const { score, relativeBox, imageDims } = super.forSize(width, height);\n return new FaceDetection(score, relativeBox, imageDims);\n }\n}\n", "import { Box } from '../classes/Box';\n\nexport function iou(box1: Box, box2: Box, isIOU = true) {\n const width = Math.max(0.0, Math.min(box1.right, box2.right) - Math.max(box1.left, box2.left));\n const height = Math.max(0.0, Math.min(box1.bottom, box2.bottom) - Math.max(box1.top, box2.top));\n const interSection = width * height;\n\n return isIOU\n ? interSection / (box1.area + box2.area - interSection)\n : interSection / Math.min(box1.area, box2.area);\n}\n", "import { BoundingBox, IPoint } from '../classes/index';\n\nexport function minBbox(pts: IPoint[]): BoundingBox {\n const xs = pts.map((pt) => pt.x);\n const ys = pts.map((pt) => pt.y);\n const minX = xs.reduce((min, x) => (x < min ? x : min), Infinity);\n const minY = ys.reduce((min, y) => (y < min ? y : min), Infinity);\n const maxX = xs.reduce((max, x) => (max < x ? x : max), 0);\n const maxY = ys.reduce((max, y) => (max < y ? y : max), 0);\n\n return new BoundingBox(minX, minY, maxX, maxY);\n}\n", "import { Box } from '../classes/Box';\nimport { iou } from './iou';\n\nexport function nonMaxSuppression(\n boxes: Box[],\n scores: number[],\n iouThreshold: number,\n isIOU = true,\n): number[] {\n let indicesSortedByScore = scores\n .map((score, boxIndex) => ({ score, boxIndex }))\n .sort((c1, c2) => c1.score - c2.score)\n .map((c) => c.boxIndex);\n\n const pick: number[] = [];\n\n while (indicesSortedByScore.length > 0) {\n const curr = indicesSortedByScore.pop() as number;\n pick.push(curr);\n\n const indices = indicesSortedByScore;\n\n const outputs: number[] = [];\n for (let i = 0; i < indices.length; i++) {\n const idx = indices[i];\n\n const currBox = boxes[curr];\n const idxBox = boxes[idx];\n\n outputs.push(iou(currBox, idxBox, isIOU));\n }\n\n indicesSortedByScore = indicesSortedByScore.filter(\n (_, j) => outputs[j] <= iouThreshold,\n );\n }\n\n return pick;\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nexport function normalize(x: tf.Tensor4D, meanRgb: number[]): tf.Tensor4D {\n return tf.tidy(() => {\n const [r, g, b] = meanRgb;\n const avg_r = tf.fill([...x.shape.slice(0, 3), 1], r, 'float32');\n const avg_g = tf.fill([...x.shape.slice(0, 3), 1], g, 'float32');\n const avg_b = tf.fill([...x.shape.slice(0, 3), 1], b, 'float32');\n const avg_rgb = tf.concat([avg_r, avg_g, avg_b], 3);\n\n return tf.sub(x, avg_rgb);\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\n/**\n * Pads the smaller dimension of an image tensor with zeros, such that width === height.\n *\n * @param imgTensor The image tensor.\n * @param isCenterImage (optional, default: false) If true, add an equal amount of padding on\n * both sides of the minor dimension oof the image.\n * @returns The padded tensor with width === height.\n */\nexport function padToSquare(imgTensor: tf.Tensor4D, isCenterImage = false): tf.Tensor4D {\n return tf.tidy(() => {\n const [height, width] = imgTensor.shape.slice(1);\n if (height === width) return imgTensor;\n const dimDiff = Math.abs(height - width);\n const paddingAmount = Math.round(dimDiff * (isCenterImage ? 0.5 : 1));\n const paddingAxis = height > width ? 2 : 1;\n const createPaddingTensor = (paddingAmountLocal: number): tf.Tensor => {\n const paddingTensorShape = imgTensor.shape.slice();\n paddingTensorShape[paddingAxis] = paddingAmountLocal;\n return tf.fill(paddingTensorShape, 0, 'float32');\n };\n const paddingTensorAppend = createPaddingTensor(paddingAmount);\n const remainingPaddingAmount = dimDiff - (paddingTensorAppend.shape[paddingAxis] as number);\n const paddingTensorPrepend = isCenterImage && remainingPaddingAmount ? createPaddingTensor(remainingPaddingAmount) : null;\n const tensorsToStack = [paddingTensorPrepend, imgTensor, paddingTensorAppend]\n .filter((t) => !!t)\n .map((t) => tf.cast(t as tf.Tensor4D, 'float32')) as tf.Tensor4D[];\n return tf.concat(tensorsToStack, paddingAxis);\n });\n}\n", "export function shuffleArray(inputArray: any[]) {\n const array = inputArray.slice();\n for (let i = array.length - 1; i > 0; i--) {\n const j = Math.floor(Math.random() * (i + 1));\n const x = array[i];\n array[i] = array[j];\n array[j] = x;\n }\n return array;\n}\n", "export * from './iou';\nexport * from './minBbox';\nexport * from './nonMaxSuppression';\nexport * from './normalize';\nexport * from './padToSquare';\nexport * from './shuffleArray';\n\nexport function sigmoid(x: number) {\n return 1 / (1 + Math.exp(-x));\n}\n\nexport function inverseSigmoid(x: number) {\n return Math.log(x / (1 - x));\n}\n", "import { Box } from './Box';\n\nexport interface IRect {\n x: number\n y: number\n width: number\n height: number\n}\n\nexport class Rect extends Box implements IRect {\n constructor(x: number, y: number, width: number, height: number, allowNegativeDimensions = false) {\n super({ x, y, width, height }, allowNegativeDimensions);\n }\n}\n", "import { minBbox } from '../ops/index';\nimport { getCenterPoint } from '../utils/index';\nimport { IBoundingBox } from './BoundingBox';\nimport { Box } from './Box';\nimport { Dimensions, IDimensions } from './Dimensions';\nimport { FaceDetection } from './FaceDetection';\nimport { Point } from './Point';\nimport { IRect, Rect } from './Rect';\n\n// face alignment constants\nconst relX = 0.5;\nconst relY = 0.43;\nconst relScale = 0.45;\n\nexport interface IFaceLandmarks {\n positions: Point[]\n shift: Point\n}\n\nexport class FaceLandmarks implements IFaceLandmarks {\n protected _shift: Point;\n\n protected _positions: Point[];\n\n protected _imgDims: Dimensions;\n\n constructor(\n relativeFaceLandmarkPositions: Point[],\n imgDims: IDimensions,\n shift: Point = new Point(0, 0),\n ) {\n const { width, height } = imgDims;\n this._imgDims = new Dimensions(width, height);\n this._shift = shift;\n this._positions = relativeFaceLandmarkPositions.map(\n (pt) => pt.mul(new Point(width, height)).add(shift),\n );\n }\n\n public get shift(): Point { return new Point(this._shift.x, this._shift.y); }\n\n public get imageWidth(): number { return this._imgDims.width; }\n\n public get imageHeight(): number { return this._imgDims.height; }\n\n public get positions(): Point[] { return this._positions; }\n\n public get relativePositions(): Point[] {\n return this._positions.map(\n (pt) => pt.sub(this._shift).div(new Point(this.imageWidth, this.imageHeight)),\n );\n }\n\n public forSize(width: number, height: number): T {\n return new (this.constructor as any)(\n this.relativePositions,\n { width, height },\n );\n }\n\n public shiftBy(x: number, y: number): T {\n return new (this.constructor as any)(\n this.relativePositions,\n this._imgDims,\n new Point(x, y),\n );\n }\n\n public shiftByPoint(pt: Point): T {\n return this.shiftBy(pt.x, pt.y);\n }\n\n /**\n * Aligns the face landmarks after face detection from the relative positions of the faces\n * bounding box, or it's current shift. This function should be used to align the face images\n * after face detection has been performed, before they are passed to the face recognition net.\n * This will make the computed face descriptor more accurate.\n *\n * @param detection (optional) The bounding box of the face or the face detection result. If\n * no argument was passed the position of the face landmarks are assumed to be relative to\n * it's current shift.\n * @returns The bounding box of the aligned face.\n */\n public align(\n detection?: FaceDetection | IRect | IBoundingBox | null,\n options: { useDlibAlignment?: boolean, minBoxPadding?: number } = { },\n ): Box {\n if (detection) {\n const box = detection instanceof FaceDetection\n ? detection.box.floor()\n : new Box(detection);\n\n return this.shiftBy(box.x, box.y).align(null, options);\n }\n\n const { useDlibAlignment, minBoxPadding } = { useDlibAlignment: false, minBoxPadding: 0.2, ...options };\n\n if (useDlibAlignment) {\n return this.alignDlib();\n }\n\n return this.alignMinBbox(minBoxPadding);\n }\n\n private alignDlib(): Box {\n const centers = this.getRefPointsForAlignment();\n\n const [leftEyeCenter, rightEyeCenter, mouthCenter] = centers;\n const distToMouth = (pt: Point) => mouthCenter.sub(pt).magnitude();\n const eyeToMouthDist = (distToMouth(leftEyeCenter) + distToMouth(rightEyeCenter)) / 2;\n\n const size = Math.floor(eyeToMouthDist / relScale);\n\n const refPoint = getCenterPoint(centers);\n // TODO: pad in case rectangle is out of image bounds\n const x = Math.floor(Math.max(0, refPoint.x - (relX * size)));\n const y = Math.floor(Math.max(0, refPoint.y - (relY * size)));\n\n return new Rect(x, y, Math.min(size, this.imageWidth + x), Math.min(size, this.imageHeight + y));\n }\n\n private alignMinBbox(padding: number): Box {\n const box = minBbox(this.positions);\n return box.pad(box.width * padding, box.height * padding);\n }\n\n protected getRefPointsForAlignment(): Point[] {\n throw new Error('getRefPointsForAlignment not implemented by base class');\n }\n}\n", "import { getCenterPoint } from '../utils/index';\nimport { FaceLandmarks } from './FaceLandmarks';\nimport { Point } from './Point';\n\nexport class FaceLandmarks5 extends FaceLandmarks {\n protected override getRefPointsForAlignment(): Point[] {\n const pts = this.positions;\n return [\n pts[0],\n pts[1],\n getCenterPoint([pts[3], pts[4]]),\n ];\n }\n}\n", "import { getCenterPoint } from '../utils/index';\nimport { FaceLandmarks } from './FaceLandmarks';\nimport { Point } from './Point';\n\nexport class FaceLandmarks68 extends FaceLandmarks {\n public getJawOutline(): Point[] {\n return this.positions.slice(0, 17);\n }\n\n public getLeftEyeBrow(): Point[] {\n return this.positions.slice(17, 22);\n }\n\n public getRightEyeBrow(): Point[] {\n return this.positions.slice(22, 27);\n }\n\n public getNose(): Point[] {\n return this.positions.slice(27, 36);\n }\n\n public getLeftEye(): Point[] {\n return this.positions.slice(36, 42);\n }\n\n public getRightEye(): Point[] {\n return this.positions.slice(42, 48);\n }\n\n public getMouth(): Point[] {\n return this.positions.slice(48, 68);\n }\n\n protected override getRefPointsForAlignment(): Point[] {\n return [\n this.getLeftEye(),\n this.getRightEye(),\n this.getMouth(),\n ].map(getCenterPoint);\n }\n}\n", "import { round } from '../utils/index';\n\nexport interface IFaceMatch {\n label: string\n distance: number\n}\n\nexport class FaceMatch implements IFaceMatch {\n private _label: string;\n private _distance: number;\n\n constructor(label: string, distance: number) {\n this._label = label;\n this._distance = distance;\n }\n\n public get label(): string { return this._label; }\n\n public get distance(): number { return this._distance; }\n\n public toString(withDistance = true): string {\n return `${this.label}${withDistance ? ` (${round(this.distance)})` : ''}`;\n }\n}\n", "import { isValidNumber } from '../utils/index';\nimport { IBoundingBox } from './BoundingBox';\nimport { Box } from './Box';\nimport { IRect } from './Rect';\n\nexport class LabeledBox extends Box {\n public static assertIsValidLabeledBox(box: any, callee: string) {\n Box.assertIsValidBox(box, callee);\n if (!isValidNumber(box.label)) {\n throw new Error(`${callee} - expected property label (${box.label}) to be a number`);\n }\n }\n\n private _label: number;\n\n constructor(box: IBoundingBox | IRect | any, label: number) {\n super(box);\n this._label = label;\n }\n\n public get label(): number { return this._label; }\n}\n", "export class LabeledFaceDescriptors {\n private _label: string;\n\n private _descriptors: Float32Array[];\n\n constructor(label: string, descriptors: Float32Array[]) {\n if (!(typeof label === 'string')) {\n throw new Error('LabeledFaceDescriptors - constructor expected label to be a string');\n }\n\n if (!Array.isArray(descriptors) || descriptors.some((desc) => !(desc instanceof Float32Array))) {\n throw new Error('LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array');\n }\n\n this._label = label;\n this._descriptors = descriptors;\n }\n\n public get label(): string { return this._label; }\n\n public get descriptors(): Float32Array[] { return this._descriptors; }\n\n public toJSON(): any {\n return {\n label: this.label,\n descriptors: this.descriptors.map((d) => Array.from(d)),\n };\n }\n\n public static fromJSON(json: any): LabeledFaceDescriptors {\n const descriptors = json.descriptors.map((d: any) => new Float32Array(d));\n return new LabeledFaceDescriptors(json.label, descriptors);\n }\n}\n", "import { isValidProbablitiy } from '../utils/index';\nimport { IBoundingBox } from './BoundingBox';\nimport { LabeledBox } from './LabeledBox';\nimport { IRect } from './Rect';\n\nexport class PredictedBox extends LabeledBox {\n public static assertIsValidPredictedBox(box: any, callee: string) {\n LabeledBox.assertIsValidLabeledBox(box, callee);\n\n if (\n !isValidProbablitiy(box.score)\n || !isValidProbablitiy(box.classScore)\n ) {\n throw new Error(`${callee} - expected properties score (${box.score}) and (${box.classScore}) to be a number between [0, 1]`);\n }\n }\n\n private _score: number;\n\n private _classScore: number;\n\n constructor(box: IBoundingBox | IRect | any, label: number, score: number, classScore: number) {\n super(box, label);\n this._score = score;\n this._classScore = classScore;\n }\n\n public get score(): number { return this._score; }\n\n public get classScore(): number { return this._classScore; }\n}\n", "import { FaceDetection } from '../classes/FaceDetection';\n\nexport type WithFaceDetection = TSource & {\n detection: FaceDetection\n}\n\nexport function isWithFaceDetection(obj: any): obj is WithFaceDetection<{}> {\n return obj.detection instanceof FaceDetection;\n}\n\nexport function extendWithFaceDetection(sourceObj: TSource, detection: FaceDetection): WithFaceDetection {\n const extension = { detection };\n return { ...sourceObj, ...extension };\n}\n", "import { Environment } from './types';\n\nexport function createBrowserEnv(): Environment {\n const fetch = window.fetch;\n if (!fetch) throw new Error('fetch - missing fetch implementation for browser environment');\n\n const readFile = () => {\n throw new Error('readFile - filesystem not available for browser environment');\n };\n\n return {\n Canvas: HTMLCanvasElement,\n CanvasRenderingContext2D,\n Image: HTMLImageElement,\n ImageData,\n Video: HTMLVideoElement,\n createCanvasElement: () => document.createElement('canvas'),\n createImageElement: () => document.createElement('img'),\n createVideoElement: () => document.createElement('video'),\n fetch,\n readFile,\n };\n}\n", "export function isNodejs(): boolean {\n return typeof global === 'object'\n && typeof process !== 'undefined'\n && process.versions != null\n && process.versions.node != null;\n}\n", "import { FileSystem } from './types';\nimport { isNodejs } from './isNodejs';\n\nexport function createFileSystem(fs?: any): FileSystem {\n let requireFsError = '';\n if (!fs && isNodejs()) {\n try {\n // eslint-disable-next-line global-require\n fs = require('fs');\n } catch (err) {\n requireFsError = (err as any).toString();\n }\n }\n\n const readFile = fs\n ? (filePath: string) => new Promise((resolve, reject) => { fs.readFile(filePath, (err: any, buffer) => (err ? reject(err) : resolve(buffer))); })\n : () => { throw new Error(`readFile - failed to require fs in nodejs environment with error: ${requireFsError}`); };\n return { readFile };\n}\n", "/* eslint-disable max-classes-per-file */\nimport { createFileSystem } from './createFileSystem';\nimport { Environment } from './types';\n\nexport function createNodejsEnv(): Environment {\n // eslint-disable-next-line dot-notation\n const Canvas = global['Canvas'] || global.HTMLCanvasElement;\n const Image = global.Image || global.HTMLImageElement;\n // eslint-disable-next-line dot-notation\n const Video = global['Video'] || global.HTMLVideoElement;\n\n const createCanvasElement = () => {\n if (Canvas) return new Canvas();\n throw new Error('createCanvasElement - missing Canvas implementation for nodejs environment');\n };\n\n const createImageElement = () => {\n if (Image) return new Image();\n throw new Error('createImageElement - missing Image implementation for nodejs environment');\n };\n\n const createVideoElement = () => {\n if (Video) return new Video();\n throw new Error('createVideoElement - missing Video implementation for nodejs environment');\n };\n\n const fetch = global.fetch;\n // if (!fetch) throw new Error('fetch - missing fetch implementation for nodejs environment');\n\n const fileSystem = createFileSystem();\n\n return {\n Canvas: Canvas || class {},\n CanvasRenderingContext2D: global.CanvasRenderingContext2D || class {},\n Image: Image || class {},\n ImageData: global.ImageData || class {},\n Video: global.HTMLVideoElement || class {},\n createCanvasElement,\n createImageElement,\n createVideoElement,\n fetch,\n ...fileSystem,\n };\n}\n", "export function isBrowser(): boolean {\n return typeof window === 'object'\n && typeof document !== 'undefined'\n && typeof HTMLImageElement !== 'undefined'\n && typeof HTMLCanvasElement !== 'undefined'\n && typeof HTMLVideoElement !== 'undefined'\n && typeof ImageData !== 'undefined'\n && typeof CanvasRenderingContext2D !== 'undefined';\n}\n", "import { createBrowserEnv } from './createBrowserEnv';\nimport { createFileSystem } from './createFileSystem';\nimport { createNodejsEnv } from './createNodejsEnv';\nimport { isBrowser } from './isBrowser';\nimport { isNodejs } from './isNodejs';\nimport { Environment } from './types';\n\nlet environment: Environment | null;\n\nfunction getEnv(): Environment {\n if (!environment) {\n throw new Error('getEnv - environment is not defined, check isNodejs() and isBrowser()');\n }\n return environment;\n}\n\nfunction setEnv(env: Environment) {\n environment = env;\n}\n\nfunction initialize() {\n // check for isBrowser() first to prevent electron renderer process\n // to be initialized with wrong environment due to isNodejs() returning true\n if (isBrowser()) return setEnv(createBrowserEnv());\n if (isNodejs()) return setEnv(createNodejsEnv());\n return null;\n}\n\nfunction monkeyPatch(env: Partial) {\n if (!environment) {\n initialize();\n }\n\n if (!environment) {\n throw new Error('monkeyPatch - environment is not defined, check isNodejs() and isBrowser()');\n }\n\n const { Canvas = environment.Canvas, Image = environment.Image } = env;\n environment.Canvas = Canvas;\n environment.Image = Image;\n environment.createCanvasElement = env.createCanvasElement || (() => new Canvas());\n environment.createImageElement = env.createImageElement || (() => new Image());\n\n environment.ImageData = env.ImageData || environment.ImageData;\n environment.Video = env.Video || environment.Video;\n environment.fetch = env.fetch || environment.fetch;\n environment.readFile = env.readFile || environment.readFile;\n}\n\nexport const env = {\n getEnv,\n setEnv,\n initialize,\n createBrowserEnv,\n createFileSystem,\n createNodejsEnv,\n monkeyPatch,\n isBrowser,\n isNodejs,\n};\n\ninitialize();\n\nexport * from './types';\n", "import { env } from '../env/index';\n\nexport function resolveInput(arg: string | any) {\n if (!env.isNodejs() && typeof arg === 'string') {\n return document.getElementById(arg);\n }\n return arg;\n}\n", "import { env } from '../env/index';\nimport { resolveInput } from './resolveInput';\n\nexport function getContext2dOrThrow(canvasArg: string | HTMLCanvasElement | CanvasRenderingContext2D): CanvasRenderingContext2D {\n const { Canvas, CanvasRenderingContext2D } = env.getEnv();\n\n if (canvasArg instanceof CanvasRenderingContext2D) {\n return canvasArg;\n }\n\n const canvas = resolveInput(canvasArg);\n\n if (!(canvas instanceof Canvas)) {\n throw new Error('resolveContext2d - expected canvas to be of instance of Canvas');\n }\n\n const ctx = canvas.getContext('2d');\n if (!ctx) {\n throw new Error('resolveContext2d - canvas 2d context is null');\n }\n\n return ctx;\n}\n", "/* eslint-disable max-classes-per-file */\nimport { IDimensions, IPoint } from '../classes/index';\nimport { getContext2dOrThrow } from '../dom/getContext2dOrThrow';\nimport { resolveInput } from '../dom/resolveInput';\n\n// eslint-disable-next-line no-shadow\nexport enum AnchorPosition {\n // eslint-disable-next-line no-unused-vars\n TOP_LEFT = 'TOP_LEFT',\n // eslint-disable-next-line no-unused-vars\n TOP_RIGHT = 'TOP_RIGHT',\n // eslint-disable-next-line no-unused-vars\n BOTTOM_LEFT = 'BOTTOM_LEFT',\n // eslint-disable-next-line no-unused-vars\n BOTTOM_RIGHT = 'BOTTOM_RIGHT'\n}\n\nexport interface IDrawTextFieldOptions {\n anchorPosition?: AnchorPosition\n backgroundColor?: string\n fontColor?: string\n fontSize?: number\n fontStyle?: string\n padding?: number\n}\n\nexport class DrawTextFieldOptions implements IDrawTextFieldOptions {\n public anchorPosition: AnchorPosition;\n\n public backgroundColor: string;\n\n public fontColor: string;\n\n public fontSize: number;\n\n public fontStyle: string;\n\n public padding: number;\n\n constructor(options: IDrawTextFieldOptions = {}) {\n const {\n anchorPosition, backgroundColor, fontColor, fontSize, fontStyle, padding,\n } = options;\n this.anchorPosition = anchorPosition || AnchorPosition.TOP_LEFT;\n this.backgroundColor = backgroundColor || 'rgba(0, 0, 0, 0.5)';\n this.fontColor = fontColor || 'rgba(255, 255, 255, 1)';\n this.fontSize = fontSize || 14;\n this.fontStyle = fontStyle || 'Georgia';\n this.padding = padding || 4;\n }\n}\n\nexport class DrawTextField {\n public text: string[];\n\n public anchor : IPoint;\n\n public options: DrawTextFieldOptions;\n\n constructor(\n text: string | string[] | DrawTextField,\n anchor: IPoint,\n options: IDrawTextFieldOptions = {},\n ) {\n // eslint-disable-next-line no-nested-ternary\n this.text = typeof text === 'string'\n ? [text]\n : (text instanceof DrawTextField ? text.text : text);\n this.anchor = anchor;\n this.options = new DrawTextFieldOptions(options);\n }\n\n measureWidth(ctx: CanvasRenderingContext2D): number {\n const { padding } = this.options;\n return this.text.map((l) => ctx.measureText(l).width).reduce((w0, w1) => (w0 < w1 ? w1 : w0), 0) + (2 * padding);\n }\n\n measureHeight(): number {\n const { fontSize, padding } = this.options;\n return this.text.length * fontSize + (2 * padding);\n }\n\n getUpperLeft(ctx: CanvasRenderingContext2D, canvasDims?: IDimensions): IPoint {\n const { anchorPosition } = this.options;\n const isShiftLeft = anchorPosition === AnchorPosition.BOTTOM_RIGHT || anchorPosition === AnchorPosition.TOP_RIGHT;\n const isShiftTop = anchorPosition === AnchorPosition.BOTTOM_LEFT || anchorPosition === AnchorPosition.BOTTOM_RIGHT;\n\n const textFieldWidth = this.measureWidth(ctx);\n const textFieldHeight = this.measureHeight();\n const x = (isShiftLeft ? this.anchor.x - textFieldWidth : this.anchor.x);\n const y = isShiftTop ? this.anchor.y - textFieldHeight : this.anchor.y;\n\n // adjust anchor if text box exceeds canvas borders\n if (canvasDims) {\n const { width, height } = canvasDims;\n const newX = Math.max(Math.min(x, width - textFieldWidth), 0);\n const newY = Math.max(Math.min(y, height - textFieldHeight), 0);\n return { x: newX, y: newY };\n }\n return { x, y };\n }\n\n draw(canvasArg: string | HTMLCanvasElement | CanvasRenderingContext2D) {\n const canvas = resolveInput(canvasArg);\n const ctx = getContext2dOrThrow(canvas);\n\n const {\n backgroundColor, fontColor, fontSize, fontStyle, padding,\n } = this.options;\n\n ctx.font = `${fontSize}px ${fontStyle}`;\n const maxTextWidth = this.measureWidth(ctx);\n const textHeight = this.measureHeight();\n\n ctx.fillStyle = backgroundColor;\n const upperLeft = this.getUpperLeft(ctx, canvas);\n ctx.fillRect(upperLeft.x, upperLeft.y, maxTextWidth, textHeight);\n\n ctx.fillStyle = fontColor;\n this.text.forEach((textLine, i) => {\n const x = padding + upperLeft.x;\n const y = padding + upperLeft.y + ((i + 1) * fontSize);\n ctx.fillText(textLine, x, y);\n });\n }\n}\n", "/* eslint-disable max-classes-per-file */\nimport { Box, IBoundingBox, IRect } from '../classes/index';\nimport { getContext2dOrThrow } from '../dom/getContext2dOrThrow';\nimport { AnchorPosition, DrawTextField, DrawTextFieldOptions, IDrawTextFieldOptions } from './DrawTextField';\n\nexport interface IDrawBoxOptions {\n boxColor?: string\n lineWidth?: number\n drawLabelOptions?: IDrawTextFieldOptions\n label?: string\n}\n\nexport class DrawBoxOptions {\n public boxColor: string;\n\n public lineWidth: number;\n\n public drawLabelOptions: DrawTextFieldOptions;\n\n public label?: string;\n\n constructor(options: IDrawBoxOptions = {}) {\n const {\n boxColor, lineWidth, label, drawLabelOptions,\n } = options;\n this.boxColor = boxColor || 'rgba(0, 0, 255, 1)';\n this.lineWidth = lineWidth || 2;\n this.label = label;\n\n const defaultDrawLabelOptions = {\n anchorPosition: AnchorPosition.BOTTOM_LEFT,\n backgroundColor: this.boxColor,\n };\n this.drawLabelOptions = new DrawTextFieldOptions({ ...defaultDrawLabelOptions, ...drawLabelOptions });\n }\n}\n\nexport class DrawBox {\n public box: Box;\n\n public options: DrawBoxOptions;\n\n constructor(\n box: IBoundingBox | IRect,\n options: IDrawBoxOptions = {},\n ) {\n this.box = new Box(box);\n this.options = new DrawBoxOptions(options);\n }\n\n draw(canvasArg: string | HTMLCanvasElement | CanvasRenderingContext2D) {\n const ctx = getContext2dOrThrow(canvasArg);\n\n const { boxColor, lineWidth } = this.options;\n\n const {\n x, y, width, height,\n } = this.box;\n ctx.strokeStyle = boxColor;\n ctx.lineWidth = lineWidth;\n ctx.strokeRect(x, y, width, height);\n\n const { label } = this.options;\n if (label) {\n new DrawTextField([label], { x: x - (lineWidth / 2), y }, this.options.drawLabelOptions).draw(canvasArg);\n }\n }\n}\n", "import { Box, IBoundingBox, IRect } from '../classes/index';\nimport { FaceDetection } from '../classes/FaceDetection';\nimport { isWithFaceDetection, WithFaceDetection } from '../factories/WithFaceDetection';\nimport { round } from '../utils/index';\nimport { DrawBox } from './DrawBox';\n\nexport type TDrawDetectionsInput = IRect | IBoundingBox | FaceDetection | WithFaceDetection<{}>\n\nexport function drawDetections(\n canvasArg: string | HTMLCanvasElement,\n detections: TDrawDetectionsInput | Array,\n) {\n const detectionsArray = Array.isArray(detections) ? detections : [detections];\n\n detectionsArray.forEach((det) => {\n // eslint-disable-next-line no-nested-ternary\n const score = det instanceof FaceDetection\n ? det.score\n : (isWithFaceDetection(det) ? det.detection.score : undefined);\n\n // eslint-disable-next-line no-nested-ternary\n const box = det instanceof FaceDetection\n ? det.box\n : (isWithFaceDetection(det) ? det.detection.box : new Box(det));\n\n const label = score ? `${round(score)}` : undefined;\n new DrawBox(box, { label }).draw(canvasArg);\n });\n}\n", "import { env } from '../env/index';\n\nexport function isMediaLoaded(media: HTMLImageElement | HTMLVideoElement) : boolean {\n const { Image, Video } = env.getEnv();\n\n return (media instanceof Image && media.complete)\n || (media instanceof Video && media.readyState >= 3);\n}\n", "import { env } from '../env/index';\nimport { isMediaLoaded } from './isMediaLoaded';\n\nexport function awaitMediaLoaded(media: HTMLImageElement | HTMLVideoElement | HTMLCanvasElement) {\n // eslint-disable-next-line consistent-return\n return new Promise((resolve, reject) => {\n if (media instanceof env.getEnv().Canvas || isMediaLoaded(media)) resolve(null);\n\n function onError(e: Event) {\n if (!e.currentTarget) return;\n // eslint-disable-next-line no-use-before-define\n e.currentTarget.removeEventListener('load', onLoad);\n e.currentTarget.removeEventListener('error', onError);\n reject(e);\n }\n\n function onLoad(e: Event) {\n if (!e.currentTarget) return;\n e.currentTarget.removeEventListener('load', onLoad);\n e.currentTarget.removeEventListener('error', onError);\n resolve(e);\n }\n\n media.addEventListener('load', onLoad);\n media.addEventListener('error', onError);\n });\n}\n", "import { env } from '../env/index';\n\nexport function bufferToImage(buf: Blob): Promise {\n return new Promise((resolve, reject) => {\n if (!(buf instanceof Blob)) reject(new Error('bufferToImage - expected buf to be of type: Blob'));\n const reader = new FileReader();\n reader.onload = () => {\n if (typeof reader.result !== 'string') reject(new Error('bufferToImage - expected reader.result to be a string, in onload'));\n const img = env.getEnv().createImageElement();\n img.onload = () => resolve(img);\n img.onerror = reject;\n img.src = reader.result as string;\n };\n reader.onerror = reject;\n reader.readAsDataURL(buf);\n });\n}\n", "import { Dimensions, IDimensions } from '../classes/Dimensions';\nimport { env } from '../env/index';\n\nexport function getMediaDimensions(input: HTMLImageElement | HTMLCanvasElement | HTMLVideoElement | IDimensions): Dimensions {\n const { Image, Video } = env.getEnv();\n\n if (input instanceof Image) {\n return new Dimensions(input.naturalWidth, input.naturalHeight);\n }\n if (input instanceof Video) {\n return new Dimensions(input.videoWidth, input.videoHeight);\n }\n return new Dimensions(input.width, input.height);\n}\n", "import { IDimensions } from '../classes/Dimensions';\nimport { env } from '../env/index';\nimport { getContext2dOrThrow } from './getContext2dOrThrow';\nimport { getMediaDimensions } from './getMediaDimensions';\nimport { isMediaLoaded } from './isMediaLoaded';\n\nexport function createCanvas({ width, height }: IDimensions): HTMLCanvasElement {\n const { createCanvasElement } = env.getEnv();\n const canvas = createCanvasElement();\n canvas.width = width;\n canvas.height = height;\n return canvas;\n}\n\nexport function createCanvasFromMedia(media: HTMLImageElement | HTMLVideoElement | ImageData, dims?: IDimensions): HTMLCanvasElement {\n const { ImageData } = env.getEnv();\n\n if (!(media instanceof ImageData) && !isMediaLoaded(media)) {\n throw new Error('createCanvasFromMedia - media has not finished loading yet');\n }\n\n const { width, height } = dims || getMediaDimensions(media);\n const canvas = createCanvas({ width, height });\n\n if (media instanceof ImageData) {\n getContext2dOrThrow(canvas).putImageData(media, 0, 0);\n } else {\n getContext2dOrThrow(canvas).drawImage(media, 0, 0, width, height);\n }\n return canvas;\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { env } from '../env/index';\nimport { isTensor4D } from '../utils/index';\n\nexport async function imageTensorToCanvas(\n imgTensor: tf.Tensor,\n canvas?: HTMLCanvasElement,\n): Promise {\n const targetCanvas = canvas || env.getEnv().createCanvasElement();\n\n const [height, width, numChannels] = imgTensor.shape.slice(isTensor4D(imgTensor) ? 1 : 0);\n const imgTensor3D = tf.tidy(() => imgTensor.as3D(height, width, numChannels).toInt());\n await tf['browser'].toPixels(imgTensor3D, targetCanvas);\n\n imgTensor3D.dispose();\n\n return targetCanvas;\n}\n", "import { env } from '../env/index';\n\nexport function isMediaElement(input: any) {\n const { Image, Canvas, Video } = env.getEnv();\n\n return input instanceof Image\n || input instanceof Canvas\n || input instanceof Video;\n}\n", "import { env } from '../env/index';\nimport { createCanvas, createCanvasFromMedia } from './createCanvas';\nimport { getContext2dOrThrow } from './getContext2dOrThrow';\nimport { getMediaDimensions } from './getMediaDimensions';\n\nexport function imageToSquare(input: HTMLImageElement | HTMLCanvasElement, inputSize: number, centerImage = false) {\n const { Image, Canvas } = env.getEnv();\n\n if (!(input instanceof Image || input instanceof Canvas)) {\n throw new Error('imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement');\n }\n\n if (inputSize <= 0) return createCanvas({ width: 1, height: 1 });\n const dims = getMediaDimensions(input);\n const scale = inputSize / Math.max(dims.height, dims.width);\n const width = scale * dims.width;\n const height = scale * dims.height;\n\n const targetCanvas = createCanvas({ width: inputSize, height: inputSize });\n const inputCanvas = input instanceof Canvas ? input : createCanvasFromMedia(input);\n\n const offset = Math.abs(width - height) / 2;\n const dx = centerImage && width < height ? offset : 0;\n const dy = centerImage && height < width ? offset : 0;\n if (inputCanvas.width > 0 && inputCanvas.height > 0) getContext2dOrThrow(targetCanvas).drawImage(inputCanvas, dx, dy, width, height);\n\n return targetCanvas;\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { Dimensions } from '../classes/Dimensions';\nimport { env } from '../env/index';\nimport { padToSquare } from '../ops/padToSquare';\nimport { computeReshapedDimensions, isTensor3D, isTensor4D, range } from '../utils/index';\nimport { createCanvasFromMedia } from './createCanvas';\nimport { imageToSquare } from './imageToSquare';\nimport { TResolvedNetInput } from './types';\n\nexport class NetInput {\n private _imageTensors: Array = [];\n\n private _canvases: HTMLCanvasElement[] = [];\n\n private _batchSize: number;\n\n private _treatAsBatchInput = false;\n\n private _inputDimensions: number[][] = [];\n\n private _inputSize = 0;\n\n constructor(inputs: Array, treatAsBatchInput = false) {\n if (!Array.isArray(inputs)) {\n throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${inputs}`);\n }\n\n this._treatAsBatchInput = treatAsBatchInput;\n this._batchSize = inputs.length;\n\n inputs.forEach((input, idx) => {\n if (isTensor3D(input)) {\n this._imageTensors[idx] = input;\n this._inputDimensions[idx] = input.shape;\n return;\n }\n\n if (isTensor4D(input)) {\n const batchSize = (input as any).shape[0];\n if (batchSize !== 1) {\n throw new Error(`NetInput - tf.Tensor4D with batchSize ${batchSize} passed, but not supported in input array`);\n }\n\n this._imageTensors[idx] = input;\n this._inputDimensions[idx] = (input as any).shape.slice(1);\n return;\n }\n\n // @ts-ignore\n const canvas = (input as any) instanceof env.getEnv().Canvas ? input : createCanvasFromMedia(input);\n this._canvases[idx] = canvas as HTMLCanvasElement;\n this._inputDimensions[idx] = [canvas.height, canvas.width, 3];\n });\n }\n\n public get imageTensors(): Array {\n return this._imageTensors;\n }\n\n public get canvases(): HTMLCanvasElement[] {\n return this._canvases;\n }\n\n public get isBatchInput(): boolean {\n return this.batchSize > 1 || this._treatAsBatchInput;\n }\n\n public get batchSize(): number {\n return this._batchSize;\n }\n\n public get inputDimensions(): number[][] {\n return this._inputDimensions;\n }\n\n public get inputSize(): number | undefined {\n return this._inputSize;\n }\n\n public get reshapedInputDimensions(): Dimensions[] {\n return range(this.batchSize, 0, 1).map(\n (_, batchIdx) => this.getReshapedInputDimensions(batchIdx),\n );\n }\n\n public getInput(batchIdx: number): tf.Tensor3D | tf.Tensor4D | HTMLCanvasElement {\n return this.canvases[batchIdx] || this.imageTensors[batchIdx];\n }\n\n public getInputDimensions(batchIdx: number): number[] {\n return this._inputDimensions[batchIdx];\n }\n\n public getInputHeight(batchIdx: number): number {\n return this._inputDimensions[batchIdx][0];\n }\n\n public getInputWidth(batchIdx: number): number {\n return this._inputDimensions[batchIdx][1];\n }\n\n public getReshapedInputDimensions(batchIdx: number): Dimensions {\n if (typeof this.inputSize !== 'number') {\n throw new Error('getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet');\n }\n\n const width = this.getInputWidth(batchIdx);\n const height = this.getInputHeight(batchIdx);\n return computeReshapedDimensions({ width, height }, this.inputSize);\n }\n\n /**\n * Create a batch tensor from all input canvases and tensors\n * with size [batchSize, inputSize, inputSize, 3].\n *\n * @param inputSize Height and width of the tensor.\n * @param isCenterImage (optional, default: false) If true, add an equal amount of padding on\n * both sides of the minor dimension oof the image.\n * @returns The batch tensor.\n */\n public toBatchTensor(inputSize: number, isCenterInputs = true): tf.Tensor4D {\n this._inputSize = inputSize;\n\n return tf.tidy(() => {\n const inputTensors = range(this.batchSize, 0, 1).map((batchIdx) => {\n const input = this.getInput(batchIdx);\n\n if (input instanceof tf.Tensor) {\n let imgTensor = isTensor4D(input) ? input : tf.expandDims(input);\n imgTensor = padToSquare(imgTensor as tf.Tensor4D, isCenterInputs);\n\n if (imgTensor.shape[1] !== inputSize || imgTensor.shape[2] !== inputSize) {\n imgTensor = tf['image'].resizeBilinear(imgTensor as tf.Tensor4D, [inputSize, inputSize], false, false);\n }\n\n return imgTensor.as3D(inputSize, inputSize, 3);\n }\n\n if (input instanceof env.getEnv().Canvas) {\n return tf['browser'].fromPixels(imageToSquare(input, inputSize, isCenterInputs));\n }\n\n throw new Error(`toBatchTensor - at batchIdx ${batchIdx}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${input}`);\n });\n\n const batchTensor = tf.stack(inputTensors.map((t) => tf.cast(t, 'float32'))).as4D(this.batchSize, inputSize, inputSize, 3);\n // const batchTensor = tf.stack(inputTensors.map((t) => tf.cast(t, 'float32'))) as tf.Tensor4D;\n\n return batchTensor;\n });\n }\n}\n", "import { isTensor3D, isTensor4D } from '../utils/index';\nimport { awaitMediaLoaded } from './awaitMediaLoaded';\nimport { isMediaElement } from './isMediaElement';\nimport { NetInput } from './NetInput';\nimport { resolveInput } from './resolveInput';\nimport { TNetInput } from './types';\n\n/**\n * Validates the input to make sure, they are valid net inputs and awaits all media elements\n * to be finished loading.\n *\n * @param input The input, which can be a media element or an array of different media elements.\n * @returns A NetInput instance, which can be passed into one of the neural networks.\n */\nexport async function toNetInput(inputs: TNetInput): Promise {\n if (inputs instanceof NetInput) return inputs;\n const inputArgArray = Array.isArray(inputs) ? inputs : [inputs];\n if (!inputArgArray.length) throw new Error('toNetInput - empty array passed as input');\n const getIdxHint = (idx: number) => (Array.isArray(inputs) ? ` at input index ${idx}:` : '');\n const inputArray = inputArgArray.map(resolveInput);\n inputArray.forEach((input, i) => {\n if (!isMediaElement(input) && !isTensor3D(input) && !isTensor4D(input)) {\n if (typeof inputArgArray[i] === 'string') throw new Error(`toNetInput -${getIdxHint(i)} string passed, but could not resolve HTMLElement for element id ${inputArgArray[i]}`);\n throw new Error(`toNetInput -${getIdxHint(i)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);\n }\n if (isTensor4D(input)) {\n // if tf.Tensor4D is passed in the input array, the batch size has to be 1\n const batchSize = input.shape[0];\n if (batchSize !== 1) throw new Error(`toNetInput -${getIdxHint(i)} tf.Tensor4D with batchSize ${batchSize} passed, but not supported in input array`);\n }\n });\n // wait for all media elements being loaded\n await Promise.all(inputArray.map((input) => isMediaElement(input) && awaitMediaLoaded(input)));\n return new NetInput(inputArray, Array.isArray(inputs));\n}\n", "import { FaceDetection } from '../classes/FaceDetection';\nimport { Rect } from '../classes/Rect';\nimport { env } from '../env/index';\nimport { createCanvas } from './createCanvas';\nimport { getContext2dOrThrow } from './getContext2dOrThrow';\nimport { imageTensorToCanvas } from './imageTensorToCanvas';\nimport { toNetInput } from './toNetInput';\nimport { TNetInput } from './types';\n\n/**\n * Extracts the image regions containing the detected faces.\n *\n * @param input The image that face detection has been performed on.\n * @param detections The face detection results or face bounding boxes for that image.\n * @returns The Canvases of the corresponding image region for each detected face.\n */\nexport async function extractFaces(input: TNetInput, detections: Array): Promise {\n const { Canvas } = env.getEnv();\n let canvas = input as HTMLCanvasElement;\n if (!(input instanceof Canvas)) {\n const netInput = await toNetInput(input);\n if (netInput.batchSize > 1) throw new Error('extractFaces - batchSize > 1 not supported');\n const tensorOrCanvas = netInput.getInput(0);\n canvas = tensorOrCanvas instanceof Canvas ? tensorOrCanvas : await imageTensorToCanvas(tensorOrCanvas);\n }\n const ctx = getContext2dOrThrow(canvas);\n const boxes = detections\n .map((det) => (det instanceof FaceDetection ? det.forSize(canvas.width, canvas.height).box.floor() : det))\n .map((box) => box.clipAtImageBorders(canvas.width, canvas.height));\n return boxes.map(({ x, y, width, height }) => {\n const faceImg = createCanvas({ width, height });\n if (width > 0 && height > 0) getContext2dOrThrow(faceImg).putImageData(ctx.getImageData(x, y, width, height), 0, 0);\n return faceImg;\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { Rect } from '../classes/index';\nimport { FaceDetection } from '../classes/FaceDetection';\nimport { isTensor3D, isTensor4D } from '../utils/index';\n\n/**\n * Extracts the tensors of the image regions containing the detected faces.\n * Useful if you want to compute the face descriptors for the face images.\n * Using this method is faster then extracting a canvas for each face and\n * converting them to tensors individually.\n *\n * @param imageTensor The image tensor that face detection has been performed on.\n * @param detections The face detection results or face bounding boxes for that image.\n * @returns Tensors of the corresponding image region for each detected face.\n */\nexport async function extractFaceTensors(imageTensor: tf.Tensor3D | tf.Tensor4D, detections: Array): Promise {\n if (!isTensor3D(imageTensor) && !isTensor4D(imageTensor)) {\n throw new Error('extractFaceTensors - expected image tensor to be 3D or 4D');\n }\n\n if (isTensor4D(imageTensor) && imageTensor.shape[0] > 1) {\n throw new Error('extractFaceTensors - batchSize > 1 not supported');\n }\n\n return tf.tidy(() => {\n const [imgHeight, imgWidth, numChannels] = imageTensor.shape.slice(isTensor4D(imageTensor) ? 1 : 0);\n const boxes = detections.map((det) => (det instanceof FaceDetection ? det.forSize(imgWidth, imgHeight).box : det))\n .map((box) => box.clipAtImageBorders(imgWidth, imgHeight));\n const faceTensors = boxes\n .filter((box) => box.width > 0 && box.height > 0)\n .map(({ x, y, width, height }) => tf.slice3d(imageTensor.as3D(imgHeight, imgWidth, numChannels), [y, x, 0], [height, width, numChannels]));\n return faceTensors;\n });\n}\n", "import { env } from '../env/index';\n\nexport async function fetchOrThrow(\n url: string,\n // eslint-disable-next-line no-undef\n init?: RequestInit,\n): Promise {\n const { fetch } = env.getEnv();\n const res = await fetch(url, init);\n if (!(res.status < 400)) {\n throw new Error(`failed to fetch: (${res.status}) ${res.statusText}, from url: ${res.url}`);\n }\n return res;\n}\n", "import { bufferToImage } from './bufferToImage';\nimport { fetchOrThrow } from './fetchOrThrow';\n\nexport async function fetchImage(uri: string): Promise {\n const res = await fetchOrThrow(uri);\n const blob = await (res).blob();\n\n if (!blob.type.startsWith('image/')) {\n throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${blob.type}, for url: ${res.url}`);\n }\n return bufferToImage(blob);\n}\n", "import { fetchOrThrow } from './fetchOrThrow';\n\nexport async function fetchJson(uri: string): Promise {\n return (await fetchOrThrow(uri)).json();\n}\n", "import { fetchOrThrow } from './fetchOrThrow';\n\nexport async function fetchNetWeights(uri: string): Promise {\n return new Float32Array(await (await fetchOrThrow(uri)).arrayBuffer());\n}\n", "import { env } from '../env/index';\n\nexport function bufferToVideo(buf: Blob): Promise {\n return new Promise((resolve, reject) => {\n if (!(buf instanceof Blob)) reject(new Error('bufferToVideo - expected buf to be of type: Blob'));\n\n const video = env.getEnv().createVideoElement();\n video.oncanplay = () => resolve(video);\n video.onerror = reject;\n video.playsInline = true;\n video.muted = true;\n video.src = URL.createObjectURL(buf);\n video.play();\n });\n}\n", "import { bufferToVideo } from './bufferToVideo';\nimport { fetchOrThrow } from './fetchOrThrow';\n\nexport async function fetchVideo(uri: string): Promise {\n const res = await fetchOrThrow(uri);\n const blob = await (res).blob();\n\n if (!blob.type.startsWith('video/')) {\n throw new Error(`fetchVideo - expected blob type to be of type video/*, instead have: ${blob.type}, for url: ${res.url}`);\n }\n return bufferToVideo(blob);\n}\n", "export function getModelUris(uri: string | undefined, defaultModelName: string) {\n const defaultManifestFilename = `${defaultModelName}-weights_manifest.json`;\n\n if (!uri) {\n return {\n modelBaseUri: '',\n manifestUri: defaultManifestFilename,\n };\n }\n\n if (uri === '/') {\n return {\n modelBaseUri: '/',\n manifestUri: `/${defaultManifestFilename}`,\n };\n }\n // eslint-disable-next-line no-nested-ternary\n const protocol = uri.startsWith('http://') ? 'http://' : uri.startsWith('https://') ? 'https://' : '';\n uri = uri.replace(protocol, '');\n\n const parts = uri.split('/').filter((s) => s);\n\n const manifestFile = uri.endsWith('.json')\n ? parts[parts.length - 1]\n : defaultManifestFilename;\n\n let modelBaseUri = protocol + (uri.endsWith('.json') ? parts.slice(0, parts.length - 1) : parts).join('/');\n modelBaseUri = uri.startsWith('/') ? `/${modelBaseUri}` : modelBaseUri;\n\n return {\n modelBaseUri,\n manifestUri: modelBaseUri === '/' ? `/${manifestFile}` : `${modelBaseUri}/${manifestFile}`,\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { getModelUris } from '../common/getModelUris';\nimport { fetchJson } from './fetchJson';\n\nexport async function loadWeightMap(\n uri: string | undefined,\n defaultModelName: string,\n): Promise {\n const { manifestUri, modelBaseUri } = getModelUris(uri, defaultModelName);\n // @ts-ignore\n const manifest = await fetchJson(manifestUri);\n // if (manifest['weightsManifest']) manifest = manifest['weightsManifest'];\n return tf['io'].loadWeights(manifest, modelBaseUri);\n}\n", "import { IDimensions } from '../classes/index';\nimport { getMediaDimensions } from './getMediaDimensions';\n\nexport function matchDimensions(input: IDimensions, reference: IDimensions, useMediaDimensions = false) {\n const { width, height } = useMediaDimensions\n ? getMediaDimensions(reference)\n : reference;\n input.width = width;\n input.height = height;\n return { width, height };\n}\n", "import * as tf from '../dist/tfjs.esm';\n\nimport { ParamMapping } from './common/index';\nimport { getModelUris } from './common/getModelUris';\nimport { loadWeightMap } from './dom/index';\nimport { env } from './env/index';\n\nexport abstract class NeuralNetwork {\n constructor(name: string) {\n this._name = name;\n }\n\n protected _params: TNetParams | undefined = undefined;\n\n protected _paramMappings: ParamMapping[] = [];\n\n public _name: any;\n\n public get params(): TNetParams | undefined { return this._params; }\n\n public get paramMappings(): ParamMapping[] { return this._paramMappings; }\n\n public get isLoaded(): boolean { return !!this.params; }\n\n public getParamFromPath(paramPath: string): tf.Tensor {\n const { obj, objProp } = this.traversePropertyPath(paramPath);\n return obj[objProp];\n }\n\n public reassignParamFromPath(paramPath: string, tensor: tf.Tensor) {\n const { obj, objProp } = this.traversePropertyPath(paramPath);\n obj[objProp].dispose();\n obj[objProp] = tensor;\n }\n\n public getParamList() {\n return this._paramMappings.map(({ paramPath }) => ({\n path: paramPath,\n tensor: this.getParamFromPath(paramPath),\n }));\n }\n\n public getTrainableParams() {\n return this.getParamList().filter((param) => param.tensor instanceof tf.Variable);\n }\n\n public getFrozenParams() {\n return this.getParamList().filter((param) => !(param.tensor instanceof tf.Variable));\n }\n\n public variable() {\n this.getFrozenParams().forEach(({ path, tensor }) => {\n this.reassignParamFromPath(path, tensor.variable());\n });\n }\n\n public freeze() {\n this.getTrainableParams().forEach(({ path, tensor: variable }) => {\n const tensor = tf.tensor(variable.dataSync());\n variable.dispose();\n this.reassignParamFromPath(path, tensor);\n });\n }\n\n public dispose(throwOnRedispose = true) {\n this.getParamList().forEach((param) => {\n if (throwOnRedispose && param.tensor.isDisposed) {\n throw new Error(`param tensor has already been disposed for path ${param.path}`);\n }\n param.tensor.dispose();\n });\n this._params = undefined;\n }\n\n public serializeParams(): Float32Array {\n return new Float32Array(\n this.getParamList()\n .map(({ tensor }) => Array.from(tensor.dataSync()) as number[])\n .reduce((flat, arr) => flat.concat(arr)),\n );\n }\n\n public async load(weightsOrUrl: Float32Array | string | undefined): Promise {\n if (weightsOrUrl instanceof Float32Array) {\n this.extractWeights(weightsOrUrl);\n return;\n }\n await this.loadFromUri(weightsOrUrl);\n }\n\n public async loadFromUri(uri: string | undefined) {\n if (uri && typeof uri !== 'string') {\n throw new Error(`${this._name}.loadFromUri - expected model uri`);\n }\n const weightMap = await loadWeightMap(uri, this.getDefaultModelName());\n this.loadFromWeightMap(weightMap);\n }\n\n public async loadFromDisk(filePath: string | undefined) {\n if (filePath && typeof filePath !== 'string') {\n throw new Error(`${this._name}.loadFromDisk - expected model file path`);\n }\n const { readFile } = env.getEnv();\n const { manifestUri, modelBaseUri } = getModelUris(filePath, this.getDefaultModelName());\n const fetchWeightsFromDisk = (filePaths: string[]) => Promise.all(filePaths.map((fp) => readFile(fp).then((buf) => buf.buffer)));\n const loadWeights = tf['io'].weightsLoaderFactory(fetchWeightsFromDisk);\n const manifest = JSON.parse((await readFile(manifestUri)).toString());\n const weightMap = await loadWeights(manifest, modelBaseUri);\n this.loadFromWeightMap(weightMap);\n }\n\n public loadFromWeightMap(weightMap: tf.NamedTensorMap) {\n const { paramMappings, params } = this.extractParamsFromWeightMap(weightMap);\n this._paramMappings = paramMappings;\n this._params = params;\n }\n\n public extractWeights(weights: Float32Array) {\n const { paramMappings, params } = this.extractParams(weights);\n this._paramMappings = paramMappings;\n this._params = params;\n }\n\n private traversePropertyPath(paramPath: string) {\n if (!this.params) {\n throw new Error('traversePropertyPath - model has no loaded params');\n }\n\n const result = paramPath.split('/').reduce((res: { nextObj: any, obj?: any, objProp?: string }, objProp) => {\n // eslint-disable-next-line no-prototype-builtins\n if (!res.nextObj.hasOwnProperty(objProp)) {\n throw new Error(`traversePropertyPath - object does not have property ${objProp}, for path ${paramPath}`);\n }\n return { obj: res.nextObj, objProp, nextObj: res.nextObj[objProp] };\n }, { nextObj: this.params });\n\n const { obj, objProp } = result;\n if (!obj || !objProp || !(obj[objProp] instanceof tf.Tensor)) {\n throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${paramPath}`);\n }\n\n return { obj, objProp };\n }\n\n protected abstract getDefaultModelName(): string\n\n // eslint-disable-next-line no-unused-vars\n protected abstract extractParamsFromWeightMap(weightMap: tf.NamedTensorMap): { params: TNetParams, paramMappings: ParamMapping[] }\n\n // eslint-disable-next-line no-unused-vars\n protected abstract extractParams(weights: Float32Array): { params: TNetParams, paramMappings: ParamMapping[] }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { SeparableConvParams } from './types';\n\nexport function depthwiseSeparableConv(\n x: tf.Tensor4D,\n params: SeparableConvParams,\n stride: [number, number],\n): tf.Tensor4D {\n return tf.tidy(() => {\n let out = tf.separableConv2d(x, params.depthwise_filter, params.pointwise_filter, stride, 'same');\n out = tf.add(out, params.bias);\n return out;\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams, SeparableConvParams } from '../common/index';\nimport { depthwiseSeparableConv } from '../common/depthwiseSeparableConv';\nimport { DenseBlock3Params, DenseBlock4Params } from './types';\n\nexport function denseBlock3(\n x: tf.Tensor4D,\n denseBlockParams: DenseBlock3Params,\n isFirstLayer = false,\n): tf.Tensor4D {\n return tf.tidy(() => {\n const out1 = tf.relu(\n isFirstLayer\n ? tf.add(\n tf.conv2d(x, (denseBlockParams.conv0 as ConvParams).filters, [2, 2], 'same'),\n denseBlockParams.conv0.bias,\n )\n : depthwiseSeparableConv(x, denseBlockParams.conv0 as SeparableConvParams, [2, 2]),\n ) as tf.Tensor4D;\n const out2 = depthwiseSeparableConv(out1, denseBlockParams.conv1, [1, 1]);\n\n const in3 = tf.relu(tf.add(out1, out2)) as tf.Tensor4D;\n const out3 = depthwiseSeparableConv(in3, denseBlockParams.conv2, [1, 1]);\n\n return tf.relu(tf.add(out1, tf.add(out2, out3))) as tf.Tensor4D;\n });\n}\n\nexport function denseBlock4(\n x: tf.Tensor4D,\n denseBlockParams: DenseBlock4Params,\n isFirstLayer = false,\n isScaleDown = true,\n): tf.Tensor4D {\n return tf.tidy(() => {\n const out1 = tf.relu(\n isFirstLayer\n ? tf.add(\n tf.conv2d(x, (denseBlockParams.conv0 as ConvParams).filters, isScaleDown ? [2, 2] : [1, 1], 'same'),\n denseBlockParams.conv0.bias,\n )\n : depthwiseSeparableConv(x, denseBlockParams.conv0 as SeparableConvParams, isScaleDown ? [2, 2] : [1, 1]),\n ) as tf.Tensor4D;\n const out2 = depthwiseSeparableConv(out1, denseBlockParams.conv1, [1, 1]);\n\n const in3 = tf.relu(tf.add(out1, out2)) as tf.Tensor4D;\n const out3 = depthwiseSeparableConv(in3, denseBlockParams.conv2, [1, 1]);\n\n const in4 = tf.relu(tf.add(out1, tf.add(out2, out3))) as tf.Tensor4D;\n const out4 = depthwiseSeparableConv(in4, denseBlockParams.conv3, [1, 1]);\n\n return tf.relu(tf.add(out1, tf.add(out2, tf.add(out3, out4)))) as tf.Tensor4D;\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams } from './types';\n\nexport function convLayer(\n x: tf.Tensor4D,\n params: ConvParams,\n padding: 'valid' | 'same' = 'same',\n withRelu = false,\n): tf.Tensor4D {\n return tf.tidy(() => {\n const out = tf.add(\n tf.conv2d(x, params.filters, [1, 1], padding),\n params.bias,\n ) as tf.Tensor4D;\n\n return withRelu ? tf.relu(out) : out;\n });\n}\n", "import { ParamMapping } from './types';\n\nexport function disposeUnusedWeightTensors(weightMap: any, paramMappings: ParamMapping[]) {\n Object.keys(weightMap).forEach((path) => {\n if (!paramMappings.some((pm) => pm.originalPath === path)) {\n weightMap[path].dispose();\n }\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams, ExtractWeightsFunction, ParamMapping } from './types';\n\nexport function extractConvParamsFactory(\n extractWeights: ExtractWeightsFunction,\n paramMappings: ParamMapping[],\n) {\n return (\n channelsIn: number,\n channelsOut: number,\n filterSize: number,\n mappedPrefix: string,\n ): ConvParams => {\n const filters = tf.tensor4d(\n extractWeights(channelsIn * channelsOut * filterSize * filterSize),\n [filterSize, filterSize, channelsIn, channelsOut],\n );\n const bias = tf.tensor1d(extractWeights(channelsOut));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/filters` },\n { paramPath: `${mappedPrefix}/bias` },\n );\n\n return { filters, bias };\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ExtractWeightsFunction, FCParams, ParamMapping } from './types';\n\nexport function extractFCParamsFactory(\n extractWeights: ExtractWeightsFunction,\n paramMappings: ParamMapping[],\n) {\n return (\n channelsIn: number,\n channelsOut: number,\n mappedPrefix: string,\n ): FCParams => {\n const fc_weights = tf.tensor2d(extractWeights(channelsIn * channelsOut), [channelsIn, channelsOut]);\n const fc_bias = tf.tensor1d(extractWeights(channelsOut));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/weights` },\n { paramPath: `${mappedPrefix}/bias` },\n );\n\n return {\n weights: fc_weights,\n bias: fc_bias,\n };\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\n// eslint-disable-next-line no-unused-vars\nexport type ExtractWeightsFunction = (numWeights: number) => Float32Array\n\nexport type ParamMapping = {\n originalPath?: string\n paramPath: string\n}\n\nexport type ConvParams = {\n filters: tf.Tensor4D\n bias: tf.Tensor1D\n}\n\nexport type FCParams = {\n weights: tf.Tensor2D\n bias: tf.Tensor1D\n}\n\nexport class SeparableConvParams {\n // eslint-disable-next-line no-useless-constructor\n constructor(\n // eslint-disable-next-line no-unused-vars\n public depthwise_filter: tf.Tensor4D,\n // eslint-disable-next-line no-unused-vars\n public pointwise_filter: tf.Tensor4D,\n // eslint-disable-next-line no-unused-vars\n public bias: tf.Tensor1D,\n // eslint-disable-next-line no-empty-function\n ) {}\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ExtractWeightsFunction, ParamMapping, SeparableConvParams } from './types';\n\nexport function extractSeparableConvParamsFactory(\n extractWeights: ExtractWeightsFunction,\n paramMappings: ParamMapping[],\n) {\n return (channelsIn: number, channelsOut: number, mappedPrefix: string): SeparableConvParams => {\n const depthwise_filter = tf.tensor4d(extractWeights(3 * 3 * channelsIn), [3, 3, channelsIn, 1]);\n const pointwise_filter = tf.tensor4d(extractWeights(channelsIn * channelsOut), [1, 1, channelsIn, channelsOut]);\n const bias = tf.tensor1d(extractWeights(channelsOut));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/depthwise_filter` },\n { paramPath: `${mappedPrefix}/pointwise_filter` },\n { paramPath: `${mappedPrefix}/bias` },\n );\n\n return new SeparableConvParams(\n depthwise_filter,\n pointwise_filter,\n bias,\n );\n };\n}\n\nexport function loadSeparableConvParamsFactory(\n // eslint-disable-next-line no-unused-vars\n extractWeightEntry: (originalPath: string, paramRank: number) => T,\n) {\n return (prefix: string): SeparableConvParams => {\n const depthwise_filter = extractWeightEntry(`${prefix}/depthwise_filter`, 4);\n const pointwise_filter = extractWeightEntry(`${prefix}/pointwise_filter`, 4);\n const bias = extractWeightEntry(`${prefix}/bias`, 1);\n\n return new SeparableConvParams(\n depthwise_filter,\n pointwise_filter,\n bias,\n );\n };\n}\n", "import { isTensor } from '../utils/index';\nimport { ParamMapping } from './types';\n\nexport function extractWeightEntryFactory(weightMap: any, paramMappings: ParamMapping[]) {\n return (originalPath: string, paramRank: number, mappedPath?: string) => {\n const tensor = weightMap[originalPath];\n\n if (!isTensor(tensor, paramRank)) {\n throw new Error(`expected weightMap[${originalPath}] to be a Tensor${paramRank}D, instead have ${tensor}`);\n }\n\n paramMappings.push(\n { originalPath, paramPath: mappedPath || originalPath },\n );\n\n return tensor;\n };\n}\n", "export function extractWeightsFactory(weights: Float32Array) {\n let remainingWeights = weights;\n\n function extractWeights(numWeights: number): Float32Array {\n const ret = remainingWeights.slice(0, numWeights);\n remainingWeights = remainingWeights.slice(numWeights);\n return ret;\n }\n\n function getRemainingWeights(): Float32Array {\n return remainingWeights;\n }\n\n return {\n extractWeights,\n getRemainingWeights,\n };\n}\n", "import { extractConvParamsFactory, extractSeparableConvParamsFactory, ExtractWeightsFunction, ParamMapping } from '../common/index';\nimport { DenseBlock3Params, DenseBlock4Params } from './types';\n\nexport function extractorsFactory(extractWeights: ExtractWeightsFunction, paramMappings: ParamMapping[]) {\n const extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);\n const extractSeparableConvParams = extractSeparableConvParamsFactory(extractWeights, paramMappings);\n\n function extractDenseBlock3Params(channelsIn: number, channelsOut: number, mappedPrefix: string, isFirstLayer = false): DenseBlock3Params {\n const conv0 = isFirstLayer\n ? extractConvParams(channelsIn, channelsOut, 3, `${mappedPrefix}/conv0`)\n : extractSeparableConvParams(channelsIn, channelsOut, `${mappedPrefix}/conv0`);\n const conv1 = extractSeparableConvParams(channelsOut, channelsOut, `${mappedPrefix}/conv1`);\n const conv2 = extractSeparableConvParams(channelsOut, channelsOut, `${mappedPrefix}/conv2`);\n\n return { conv0, conv1, conv2 };\n }\n\n function extractDenseBlock4Params(channelsIn: number, channelsOut: number, mappedPrefix: string, isFirstLayer = false): DenseBlock4Params {\n const { conv0, conv1, conv2 } = extractDenseBlock3Params(channelsIn, channelsOut, mappedPrefix, isFirstLayer);\n const conv3 = extractSeparableConvParams(channelsOut, channelsOut, `${mappedPrefix}/conv3`);\n\n return {\n conv0, conv1, conv2, conv3,\n };\n }\n\n return {\n extractDenseBlock3Params,\n extractDenseBlock4Params,\n };\n}\n", "import { extractWeightsFactory, ParamMapping } from '../common/index';\nimport { extractorsFactory } from './extractorsFactory';\nimport { FaceFeatureExtractorParams } from './types';\n\nexport function extractParams(weights: Float32Array): { params: FaceFeatureExtractorParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n\n const {\n extractDenseBlock4Params,\n } = extractorsFactory(extractWeights, paramMappings);\n\n const dense0 = extractDenseBlock4Params(3, 32, 'dense0', true);\n const dense1 = extractDenseBlock4Params(32, 64, 'dense1');\n const dense2 = extractDenseBlock4Params(64, 128, 'dense2');\n const dense3 = extractDenseBlock4Params(128, 256, 'dense3');\n\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n\n return {\n paramMappings,\n params: {\n dense0, dense1, dense2, dense3,\n },\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams } from './types';\n\n// eslint-disable-next-line no-unused-vars\nexport function loadConvParamsFactory(extractWeightEntry: (originalPath: string, paramRank: number) => T) {\n return (prefix: string): ConvParams => {\n const filters = extractWeightEntry(`${prefix}/filters`, 4);\n const bias = extractWeightEntry(`${prefix}/bias`, 1);\n\n return { filters, bias };\n };\n}\n", "import { extractWeightEntryFactory, loadSeparableConvParamsFactory, ParamMapping } from '../common/index';\nimport { loadConvParamsFactory } from '../common/loadConvParamsFactory';\nimport { DenseBlock3Params, DenseBlock4Params } from './types';\n\nexport function loadParamsFactory(weightMap: any, paramMappings: ParamMapping[]) {\n const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);\n\n const extractConvParams = loadConvParamsFactory(extractWeightEntry);\n const extractSeparableConvParams = loadSeparableConvParamsFactory(extractWeightEntry);\n\n function extractDenseBlock3Params(prefix: string, isFirstLayer = false): DenseBlock3Params {\n const conv0 = isFirstLayer\n ? extractConvParams(`${prefix}/conv0`)\n : extractSeparableConvParams(`${prefix}/conv0`);\n const conv1 = extractSeparableConvParams(`${prefix}/conv1`);\n const conv2 = extractSeparableConvParams(`${prefix}/conv2`);\n\n return { conv0, conv1, conv2 };\n }\n\n function extractDenseBlock4Params(prefix: string, isFirstLayer = false): DenseBlock4Params {\n const conv0 = isFirstLayer\n ? extractConvParams(`${prefix}/conv0`)\n : extractSeparableConvParams(`${prefix}/conv0`);\n const conv1 = extractSeparableConvParams(`${prefix}/conv1`);\n const conv2 = extractSeparableConvParams(`${prefix}/conv2`);\n const conv3 = extractSeparableConvParams(`${prefix}/conv3`);\n\n return {\n conv0, conv1, conv2, conv3,\n };\n }\n\n return {\n extractDenseBlock3Params,\n extractDenseBlock4Params,\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { disposeUnusedWeightTensors, ParamMapping } from '../common/index';\nimport { loadParamsFactory } from './loadParamsFactory';\nimport { FaceFeatureExtractorParams } from './types';\n\nexport function extractParamsFromWeightMap(\n weightMap: tf.NamedTensorMap,\n): { params: FaceFeatureExtractorParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractDenseBlock4Params,\n } = loadParamsFactory(weightMap, paramMappings);\n\n const params = {\n dense0: extractDenseBlock4Params('dense0', true),\n dense1: extractDenseBlock4Params('dense1'),\n dense2: extractDenseBlock4Params('dense2'),\n dense3: extractDenseBlock4Params('dense3'),\n };\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n\n return { params, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { normalize } from '../ops/index';\nimport { denseBlock4 } from './denseBlock';\nimport { extractParams } from './extractParams';\nimport { extractParamsFromWeightMap } from './extractParamsFromWeightMap';\nimport { FaceFeatureExtractorParams, IFaceFeatureExtractor } from './types';\n\nexport class FaceFeatureExtractor extends NeuralNetwork implements IFaceFeatureExtractor {\n constructor() {\n super('FaceFeatureExtractor');\n }\n\n public forwardInput(input: NetInput): tf.Tensor4D {\n const { params } = this;\n\n if (!params) {\n throw new Error('FaceFeatureExtractor - load model before inference');\n }\n\n return tf.tidy(() => {\n const batchTensor = tf.cast(input.toBatchTensor(112, true), 'float32');\n const meanRgb = [122.782, 117.001, 104.298];\n const normalized = normalize(batchTensor, meanRgb).div(255) as tf.Tensor4D;\n\n let out = denseBlock4(normalized, params.dense0, true);\n out = denseBlock4(out, params.dense1);\n out = denseBlock4(out, params.dense2);\n out = denseBlock4(out, params.dense3);\n out = tf.avgPool(out, [7, 7], [2, 2], 'valid');\n\n return out;\n });\n }\n\n public async forward(input: TNetInput): Promise {\n return this.forwardInput(await toNetInput(input));\n }\n\n protected getDefaultModelName(): string {\n return 'face_feature_extractor_model';\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n return extractParamsFromWeightMap(weightMap);\n }\n\n protected extractParams(weights: Float32Array) {\n return extractParams(weights);\n }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { FCParams } from './types';\n\nexport function fullyConnectedLayer(\n x: tf.Tensor2D,\n params: FCParams,\n): tf.Tensor2D {\n return tf.tidy(() => tf.add(\n tf.matMul(x, params.weights),\n params.bias,\n ));\n}\n", "import { extractFCParamsFactory, extractWeightsFactory, ParamMapping } from '../common/index';\nimport { NetParams } from './types';\n\nexport function extractParams(weights: Float32Array, channelsIn: number, channelsOut: number): { params: NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n\n const extractFCParams = extractFCParamsFactory(extractWeights, paramMappings);\n\n const fc = extractFCParams(channelsIn, channelsOut, 'fc');\n\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n\n return {\n paramMappings,\n params: { fc },\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { disposeUnusedWeightTensors, extractWeightEntryFactory, FCParams, ParamMapping } from '../common/index';\nimport { NetParams } from './types';\n\nexport function extractParamsFromWeightMap(\n weightMap: tf.NamedTensorMap,\n): { params: NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);\n\n function extractFcParams(prefix: string): FCParams {\n const weights = extractWeightEntry(`${prefix}/weights`, 2);\n const bias = extractWeightEntry(`${prefix}/bias`, 1);\n return { weights, bias };\n }\n\n const params = {\n fc: extractFcParams('fc'),\n };\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n\n return { params, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nexport function seperateWeightMaps(weightMap: tf.NamedTensorMap) {\n const featureExtractorMap: tf.NamedTensorMap = {};\n const classifierMap: tf.NamedTensorMap = {};\n\n Object.keys(weightMap).forEach((key) => {\n const map = key.startsWith('fc') ? classifierMap : featureExtractorMap;\n map[key] = weightMap[key];\n });\n\n return { featureExtractorMap, classifierMap };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { fullyConnectedLayer } from '../common/fullyConnectedLayer';\nimport { NetInput } from '../dom/index';\nimport { FaceFeatureExtractorParams, IFaceFeatureExtractor, TinyFaceFeatureExtractorParams } from '../faceFeatureExtractor/types';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { extractParams } from './extractParams';\nimport { extractParamsFromWeightMap } from './extractParamsFromWeightMap';\nimport { NetParams } from './types';\nimport { seperateWeightMaps } from './util';\n\nexport abstract class FaceProcessor<\n TExtractorParams extends FaceFeatureExtractorParams | TinyFaceFeatureExtractorParams\n>\n extends NeuralNetwork {\n protected _faceFeatureExtractor: IFaceFeatureExtractor;\n\n constructor(_name: string, faceFeatureExtractor: IFaceFeatureExtractor) {\n super(_name);\n this._faceFeatureExtractor = faceFeatureExtractor;\n }\n\n public get faceFeatureExtractor(): IFaceFeatureExtractor {\n return this._faceFeatureExtractor;\n }\n\n protected abstract override getDefaultModelName(): string\n\n protected abstract getClassifierChannelsIn(): number\n\n protected abstract getClassifierChannelsOut(): number\n\n public runNet(input: NetInput | tf.Tensor4D): tf.Tensor2D {\n const { params } = this;\n\n if (!params) {\n throw new Error(`${this._name} - load model before inference`);\n }\n\n return tf.tidy(() => {\n const bottleneckFeatures = input instanceof NetInput\n ? this.faceFeatureExtractor.forwardInput(input)\n : input;\n return fullyConnectedLayer(bottleneckFeatures.as2D(bottleneckFeatures.shape[0], -1), params.fc);\n });\n }\n\n public override dispose(throwOnRedispose = true) {\n this.faceFeatureExtractor.dispose(throwOnRedispose);\n super.dispose(throwOnRedispose);\n }\n\n public loadClassifierParams(weights: Float32Array) {\n const { params, paramMappings } = this.extractClassifierParams(weights);\n this._params = params;\n this._paramMappings = paramMappings;\n }\n\n public extractClassifierParams(weights: Float32Array) {\n return extractParams(weights, this.getClassifierChannelsIn(), this.getClassifierChannelsOut());\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n const { featureExtractorMap, classifierMap } = seperateWeightMaps(weightMap);\n\n this.faceFeatureExtractor.loadFromWeightMap(featureExtractorMap);\n\n return extractParamsFromWeightMap(classifierMap);\n }\n\n protected extractParams(weights: Float32Array) {\n const cIn = this.getClassifierChannelsIn();\n const cOut = this.getClassifierChannelsOut();\n const classifierWeightSize = (cOut * cIn) + cOut;\n\n const featureExtractorWeights = weights.slice(0, weights.length - classifierWeightSize);\n const classifierWeights = weights.slice(weights.length - classifierWeightSize);\n\n this.faceFeatureExtractor.extractWeights(featureExtractorWeights);\n return this.extractClassifierParams(classifierWeights);\n }\n}\n", "export const FACE_EXPRESSION_LABELS = ['neutral', 'happy', 'sad', 'angry', 'fearful', 'disgusted', 'surprised'];\n\nexport class FaceExpressions {\n public neutral = 0;\n public happy = 0;\n public sad = 0;\n public angry = 0;\n public fearful = 0;\n public disgusted = 0;\n public surprised = 0;\n\n constructor(probabilities: number[] | Float32Array) {\n if (probabilities.length !== 7) {\n throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${probabilities.length}`);\n }\n\n FACE_EXPRESSION_LABELS.forEach((expression, idx) => {\n this[expression] = probabilities[idx];\n });\n }\n\n asSortedArray() {\n return FACE_EXPRESSION_LABELS\n .map((expression) => ({ expression, probability: this[expression] as number }))\n .sort((e0, e1) => e1.probability - e0.probability);\n }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\nimport { FaceFeatureExtractor } from '../faceFeatureExtractor/FaceFeatureExtractor';\nimport { FaceFeatureExtractorParams } from '../faceFeatureExtractor/types';\nimport { FaceProcessor } from '../faceProcessor/FaceProcessor';\nimport { FaceExpressions } from './FaceExpressions';\n\nexport class FaceExpressionNet extends FaceProcessor {\n constructor(faceFeatureExtractor: FaceFeatureExtractor = new FaceFeatureExtractor()) {\n super('FaceExpressionNet', faceFeatureExtractor);\n }\n\n public forwardInput(input: NetInput | tf.Tensor4D): tf.Tensor2D {\n return tf.tidy(() => tf.softmax(this.runNet(input)));\n }\n\n public async forward(input: TNetInput): Promise {\n return this.forwardInput(await toNetInput(input));\n }\n\n public async predictExpressions(input: TNetInput) {\n const netInput = await toNetInput(input);\n const out = await this.forwardInput(netInput);\n const probabilitesByBatch = await Promise.all(tf.unstack(out).map(async (t) => {\n const data = t.dataSync();\n t.dispose();\n return data;\n }));\n out.dispose();\n\n const predictionsByBatch = probabilitesByBatch\n .map((probabilites) => new FaceExpressions(probabilites as Float32Array));\n\n return netInput.isBatchInput\n ? predictionsByBatch\n : predictionsByBatch[0];\n }\n\n protected getDefaultModelName(): string {\n return 'face_expression_model';\n }\n\n protected getClassifierChannelsIn(): number {\n return 256;\n }\n\n protected getClassifierChannelsOut(): number {\n return 7;\n }\n}\n", "import { FaceExpressions } from '../faceExpressionNet/FaceExpressions';\n\nexport type WithFaceExpressions = TSource & { expressions: FaceExpressions }\n\nexport function isWithFaceExpressions(obj: any): obj is WithFaceExpressions<{}> {\n return obj.expressions instanceof FaceExpressions;\n}\n\nexport function extendWithFaceExpressions(sourceObj: TSource, expressions: FaceExpressions): WithFaceExpressions {\n const extension = { expressions };\n return { ...sourceObj, ...extension };\n}\n", "import { IPoint, Point } from '../classes/index';\nimport { FaceExpressions } from '../faceExpressionNet/index';\nimport { isWithFaceDetection } from '../factories/WithFaceDetection';\nimport { isWithFaceExpressions, WithFaceExpressions } from '../factories/WithFaceExpressions';\nimport { round } from '../utils/index';\nimport { DrawTextField } from './DrawTextField';\n\nexport type DrawFaceExpressionsInput = FaceExpressions | WithFaceExpressions<{}>\n\nexport function drawFaceExpressions(canvasArg: string | HTMLCanvasElement, faceExpressions: DrawFaceExpressionsInput | Array, minConfidence = 0.1, textFieldAnchor?: IPoint) {\n const faceExpressionsArray = Array.isArray(faceExpressions) ? faceExpressions : [faceExpressions];\n\n faceExpressionsArray.forEach((e) => {\n // eslint-disable-next-line no-nested-ternary\n const expr = e instanceof FaceExpressions\n ? e\n : (isWithFaceExpressions(e) ? e.expressions : undefined);\n if (!expr) {\n throw new Error('drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof');\n }\n\n const sorted = expr.asSortedArray();\n const resultsToDisplay = sorted.filter((exprLocal) => exprLocal.probability > minConfidence);\n\n const anchor = isWithFaceDetection(e)\n ? e.detection.box.bottomLeft\n : (textFieldAnchor || new Point(0, 0));\n\n const drawTextField = new DrawTextField(\n resultsToDisplay.map((exprLocal) => `${exprLocal.expression} (${round(exprLocal.probability)})`),\n anchor,\n );\n drawTextField.draw(canvasArg);\n });\n}\n", "import { FaceDetection } from '../classes/FaceDetection';\nimport { FaceLandmarks } from '../classes/FaceLandmarks';\nimport { FaceLandmarks68 } from '../classes/FaceLandmarks68';\nimport { isWithFaceDetection, WithFaceDetection } from './WithFaceDetection';\n\nexport type WithFaceLandmarks<\n TSource extends WithFaceDetection<{}>,\n TFaceLandmarks extends FaceLandmarks = FaceLandmarks68 > = TSource & {\n landmarks: TFaceLandmarks,\n unshiftedLandmarks: TFaceLandmarks,\n alignedRect: FaceDetection,\n angle: { roll: number | undefined, pitch: number | undefined, yaw: number | undefined },\n }\n\nexport function isWithFaceLandmarks(obj: any): obj is WithFaceLandmarks, FaceLandmarks> {\n return isWithFaceDetection(obj)\n // eslint-disable-next-line dot-notation\n && obj['landmarks'] instanceof FaceLandmarks\n // eslint-disable-next-line dot-notation\n && obj['unshiftedLandmarks'] instanceof FaceLandmarks\n // eslint-disable-next-line dot-notation\n && obj['alignedRect'] instanceof FaceDetection;\n}\n\nfunction calculateFaceAngle(mesh) {\n // returns the angle in the plane (in radians) between the positive x-axis and the ray from (0,0) to the point (x,y)\n const radians = (a1, a2, b1, b2) => (Math.atan2(b2 - a2, b1 - a1) % Math.PI);\n // convert radians to degrees\n // eslint-disable-next-line no-unused-vars, @typescript-eslint/no-unused-vars\n const degrees = (theta) => (theta * 180) / Math.PI;\n\n const angle = { roll: undefined, pitch: undefined, yaw: undefined };\n\n if (!mesh || !mesh._positions || mesh._positions.length !== 68) return angle;\n const pt = mesh._positions;\n\n // values are in radians in range of -pi/2 to pi/2 which is -90 to +90 degrees\n // value of 0 means center\n\n // roll is face lean from left to right\n // comparing x,y of outside corners of leftEye and rightEye\n angle.roll = -radians(pt[36]._x, pt[36]._y, pt[45]._x, pt[45]._y);\n\n // pitch is face turn from left right\n // comparing x distance of top of nose to left and right edge of face\n // precision is lacking since coordinates are not precise enough\n angle.pitch = radians(0, Math.abs(pt[0]._x - pt[30]._x) / pt[30]._x, Math.PI, Math.abs(pt[16]._x - pt[30]._x) / pt[30]._x);\n\n // yaw is face move from up to down\n // comparing size of the box around the face with top and bottom of detected landmarks\n // silly hack, but this gives us face compression on y-axis\n // e.g., tilting head up hides the forehead that doesn't have any landmarks so ratio drops\n const bottom = pt.reduce((prev, cur) => (prev < cur._y ? prev : cur._y), +Infinity);\n const top = pt.reduce((prev, cur) => (prev > cur._y ? prev : cur._y), -Infinity);\n angle.yaw = Math.PI * (mesh._imgDims._height / (top - bottom) / 1.40 - 1);\n\n return angle;\n}\n\nexport function extendWithFaceLandmarks, TFaceLandmarks extends FaceLandmarks = FaceLandmarks68 >(sourceObj: TSource, unshiftedLandmarks: TFaceLandmarks): WithFaceLandmarks {\n const { box: shift } = sourceObj.detection;\n const landmarks = unshiftedLandmarks.shiftBy(shift.x, shift.y);\n const rect = landmarks.align();\n const { imageDims } = sourceObj.detection;\n const alignedRect = new FaceDetection(sourceObj.detection.score, rect.rescale(imageDims.reverse()), imageDims);\n const angle = calculateFaceAngle(unshiftedLandmarks);\n\n const extension = {\n landmarks,\n unshiftedLandmarks,\n alignedRect,\n angle,\n };\n\n return { ...sourceObj, ...extension };\n}\n", "/* eslint-disable max-classes-per-file */\nimport { IPoint } from '../classes/index';\nimport { FaceLandmarks } from '../classes/FaceLandmarks';\nimport { FaceLandmarks68 } from '../classes/FaceLandmarks68';\nimport { getContext2dOrThrow } from '../dom/getContext2dOrThrow';\nimport { WithFaceDetection } from '../factories/WithFaceDetection';\nimport { isWithFaceLandmarks, WithFaceLandmarks } from '../factories/WithFaceLandmarks';\nimport { drawContour } from './drawContour';\n\nexport interface IDrawFaceLandmarksOptions {\n drawLines?: boolean\n drawPoints?: boolean\n lineWidth?: number\n pointSize?: number\n lineColor?: string\n pointColor?: string\n}\n\nexport class DrawFaceLandmarksOptions {\n public drawLines: boolean;\n\n public drawPoints: boolean;\n\n public lineWidth: number;\n\n public pointSize: number;\n\n public lineColor: string;\n\n public pointColor: string;\n\n constructor(options: IDrawFaceLandmarksOptions = {}) {\n const {\n drawLines = true, drawPoints = true, lineWidth, lineColor, pointSize, pointColor,\n } = options;\n this.drawLines = drawLines;\n this.drawPoints = drawPoints;\n this.lineWidth = lineWidth || 1;\n this.pointSize = pointSize || 2;\n this.lineColor = lineColor || 'rgba(0, 255, 255, 1)';\n this.pointColor = pointColor || 'rgba(255, 0, 255, 1)';\n }\n}\n\nexport class DrawFaceLandmarks {\n public faceLandmarks: FaceLandmarks;\n\n public options: DrawFaceLandmarksOptions;\n\n constructor(\n faceLandmarks: FaceLandmarks,\n options: IDrawFaceLandmarksOptions = {},\n ) {\n this.faceLandmarks = faceLandmarks;\n this.options = new DrawFaceLandmarksOptions(options);\n }\n\n draw(canvasArg: string | HTMLCanvasElement | CanvasRenderingContext2D) {\n const ctx = getContext2dOrThrow(canvasArg);\n\n const {\n drawLines, drawPoints, lineWidth, lineColor, pointSize, pointColor,\n } = this.options;\n\n if (drawLines && this.faceLandmarks instanceof FaceLandmarks68) {\n ctx.strokeStyle = lineColor;\n ctx.lineWidth = lineWidth;\n drawContour(ctx, this.faceLandmarks.getJawOutline());\n drawContour(ctx, this.faceLandmarks.getLeftEyeBrow());\n drawContour(ctx, this.faceLandmarks.getRightEyeBrow());\n drawContour(ctx, this.faceLandmarks.getNose());\n drawContour(ctx, this.faceLandmarks.getLeftEye(), true);\n drawContour(ctx, this.faceLandmarks.getRightEye(), true);\n drawContour(ctx, this.faceLandmarks.getMouth(), true);\n }\n\n if (drawPoints) {\n ctx.strokeStyle = pointColor;\n ctx.fillStyle = pointColor;\n\n const drawPoint = (pt: IPoint) => {\n ctx.beginPath();\n ctx.arc(pt.x, pt.y, pointSize, 0, 2 * Math.PI);\n ctx.fill();\n };\n this.faceLandmarks.positions.forEach(drawPoint);\n }\n }\n}\n\nexport type DrawFaceLandmarksInput = FaceLandmarks | WithFaceLandmarks>\n\nexport function drawFaceLandmarks(\n canvasArg: string | HTMLCanvasElement,\n faceLandmarks: DrawFaceLandmarksInput | Array,\n) {\n const faceLandmarksArray = Array.isArray(faceLandmarks) ? faceLandmarks : [faceLandmarks];\n faceLandmarksArray.forEach((f) => {\n // eslint-disable-next-line no-nested-ternary\n const landmarks = f instanceof FaceLandmarks\n ? f\n : (isWithFaceLandmarks(f) ? f.landmarks : undefined);\n if (!landmarks) {\n throw new Error('drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks> or array thereof');\n }\n\n new DrawFaceLandmarks(landmarks).draw(canvasArg);\n });\n}\n", "import { extractConvParamsFactory, extractSeparableConvParamsFactory, extractWeightsFactory } from '../common/index';\nimport { ExtractWeightsFunction, ParamMapping } from '../common/types';\nimport { range } from '../utils/index';\nimport { MainBlockParams, ReductionBlockParams, TinyXceptionParams } from './types';\n\nfunction extractorsFactory(extractWeights: ExtractWeightsFunction, paramMappings: ParamMapping[]) {\n const extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);\n const extractSeparableConvParams = extractSeparableConvParamsFactory(extractWeights, paramMappings);\n\n function extractReductionBlockParams(channelsIn: number, channelsOut: number, mappedPrefix: string): ReductionBlockParams {\n const separable_conv0 = extractSeparableConvParams(channelsIn, channelsOut, `${mappedPrefix}/separable_conv0`);\n const separable_conv1 = extractSeparableConvParams(channelsOut, channelsOut, `${mappedPrefix}/separable_conv1`);\n const expansion_conv = extractConvParams(channelsIn, channelsOut, 1, `${mappedPrefix}/expansion_conv`);\n\n return { separable_conv0, separable_conv1, expansion_conv };\n }\n\n function extractMainBlockParams(channels: number, mappedPrefix: string): MainBlockParams {\n const separable_conv0 = extractSeparableConvParams(channels, channels, `${mappedPrefix}/separable_conv0`);\n const separable_conv1 = extractSeparableConvParams(channels, channels, `${mappedPrefix}/separable_conv1`);\n const separable_conv2 = extractSeparableConvParams(channels, channels, `${mappedPrefix}/separable_conv2`);\n\n return { separable_conv0, separable_conv1, separable_conv2 };\n }\n\n return {\n extractConvParams,\n extractSeparableConvParams,\n extractReductionBlockParams,\n extractMainBlockParams,\n };\n}\n\nexport function extractParams(weights: Float32Array, numMainBlocks: number): { params: TinyXceptionParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n\n const {\n extractConvParams,\n extractSeparableConvParams,\n extractReductionBlockParams,\n extractMainBlockParams,\n } = extractorsFactory(extractWeights, paramMappings);\n\n const entry_flow_conv_in = extractConvParams(3, 32, 3, 'entry_flow/conv_in');\n const entry_flow_reduction_block_0 = extractReductionBlockParams(32, 64, 'entry_flow/reduction_block_0');\n const entry_flow_reduction_block_1 = extractReductionBlockParams(64, 128, 'entry_flow/reduction_block_1');\n\n const entry_flow = {\n conv_in: entry_flow_conv_in,\n reduction_block_0: entry_flow_reduction_block_0,\n reduction_block_1: entry_flow_reduction_block_1,\n };\n\n const middle_flow = {};\n range(numMainBlocks, 0, 1).forEach((idx) => {\n middle_flow[`main_block_${idx}`] = extractMainBlockParams(128, `middle_flow/main_block_${idx}`);\n });\n\n const exit_flow_reduction_block = extractReductionBlockParams(128, 256, 'exit_flow/reduction_block');\n const exit_flow_separable_conv = extractSeparableConvParams(256, 512, 'exit_flow/separable_conv');\n\n const exit_flow = {\n reduction_block: exit_flow_reduction_block,\n separable_conv: exit_flow_separable_conv,\n };\n\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n\n return {\n paramMappings,\n params: { entry_flow, middle_flow, exit_flow },\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { disposeUnusedWeightTensors, extractWeightEntryFactory, loadSeparableConvParamsFactory, ParamMapping } from '../common/index';\nimport { loadConvParamsFactory } from '../common/loadConvParamsFactory';\nimport { range } from '../utils/index';\nimport { MainBlockParams, ReductionBlockParams, TinyXceptionParams } from './types';\n\nfunction loadParamsFactory(weightMap: any, paramMappings: ParamMapping[]) {\n const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);\n\n const extractConvParams = loadConvParamsFactory(extractWeightEntry);\n const extractSeparableConvParams = loadSeparableConvParamsFactory(extractWeightEntry);\n\n function extractReductionBlockParams(mappedPrefix: string): ReductionBlockParams {\n const separable_conv0 = extractSeparableConvParams(`${mappedPrefix}/separable_conv0`);\n const separable_conv1 = extractSeparableConvParams(`${mappedPrefix}/separable_conv1`);\n const expansion_conv = extractConvParams(`${mappedPrefix}/expansion_conv`);\n\n return { separable_conv0, separable_conv1, expansion_conv };\n }\n\n function extractMainBlockParams(mappedPrefix: string): MainBlockParams {\n const separable_conv0 = extractSeparableConvParams(`${mappedPrefix}/separable_conv0`);\n const separable_conv1 = extractSeparableConvParams(`${mappedPrefix}/separable_conv1`);\n const separable_conv2 = extractSeparableConvParams(`${mappedPrefix}/separable_conv2`);\n\n return { separable_conv0, separable_conv1, separable_conv2 };\n }\n\n return {\n extractConvParams,\n extractSeparableConvParams,\n extractReductionBlockParams,\n extractMainBlockParams,\n };\n}\n\nexport function extractParamsFromWeightMap(\n weightMap: tf.NamedTensorMap,\n numMainBlocks: number,\n): { params: TinyXceptionParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractConvParams,\n extractSeparableConvParams,\n extractReductionBlockParams,\n extractMainBlockParams,\n } = loadParamsFactory(weightMap, paramMappings);\n\n const entry_flow_conv_in = extractConvParams('entry_flow/conv_in');\n const entry_flow_reduction_block_0 = extractReductionBlockParams('entry_flow/reduction_block_0');\n const entry_flow_reduction_block_1 = extractReductionBlockParams('entry_flow/reduction_block_1');\n\n const entry_flow = {\n conv_in: entry_flow_conv_in,\n reduction_block_0: entry_flow_reduction_block_0,\n reduction_block_1: entry_flow_reduction_block_1,\n };\n\n const middle_flow = {};\n range(numMainBlocks, 0, 1).forEach((idx) => {\n middle_flow[`main_block_${idx}`] = extractMainBlockParams(`middle_flow/main_block_${idx}`);\n });\n\n const exit_flow_reduction_block = extractReductionBlockParams('exit_flow/reduction_block');\n const exit_flow_separable_conv = extractSeparableConvParams('exit_flow/separable_conv');\n\n const exit_flow = {\n reduction_block: exit_flow_reduction_block,\n separable_conv: exit_flow_separable_conv,\n };\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n\n return { params: { entry_flow, middle_flow, exit_flow }, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams, depthwiseSeparableConv } from '../common/index';\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { normalize } from '../ops/index';\nimport { range } from '../utils/index';\nimport { extractParams } from './extractParams';\nimport { extractParamsFromWeightMap } from './extractParamsFromWeightMap';\nimport { MainBlockParams, ReductionBlockParams, TinyXceptionParams } from './types';\n\nfunction conv(x: tf.Tensor4D, params: ConvParams, stride: [number, number]): tf.Tensor4D {\n return tf.add(tf.conv2d(x, params.filters, stride, 'same'), params.bias);\n}\n\nfunction reductionBlock(x: tf.Tensor4D, params: ReductionBlockParams, isActivateInput = true): tf.Tensor4D {\n let out = isActivateInput ? tf.relu(x) : x;\n out = depthwiseSeparableConv(out, params.separable_conv0, [1, 1]);\n out = depthwiseSeparableConv(tf.relu(out), params.separable_conv1, [1, 1]);\n out = tf.maxPool(out, [3, 3], [2, 2], 'same');\n out = tf.add(out, conv(x, params.expansion_conv, [2, 2]));\n return out;\n}\n\nfunction mainBlock(x: tf.Tensor4D, params: MainBlockParams): tf.Tensor4D {\n let out = depthwiseSeparableConv(tf.relu(x), params.separable_conv0, [1, 1]);\n out = depthwiseSeparableConv(tf.relu(out), params.separable_conv1, [1, 1]);\n out = depthwiseSeparableConv(tf.relu(out), params.separable_conv2, [1, 1]);\n out = tf.add(out, x);\n return out;\n}\n\nexport class TinyXception extends NeuralNetwork {\n private _numMainBlocks: number;\n\n constructor(numMainBlocks: number) {\n super('TinyXception');\n this._numMainBlocks = numMainBlocks;\n }\n\n public forwardInput(input: NetInput): tf.Tensor4D {\n const { params } = this;\n if (!params) {\n throw new Error('TinyXception - load model before inference');\n }\n return tf.tidy(() => {\n const batchTensor = tf.cast(input.toBatchTensor(112, true), 'float32');\n const meanRgb = [122.782, 117.001, 104.298];\n const normalized = normalize(batchTensor, meanRgb).div(255) as tf.Tensor4D;\n let out = tf.relu(conv(normalized, params.entry_flow.conv_in, [2, 2]));\n out = reductionBlock(out, params.entry_flow.reduction_block_0, false);\n out = reductionBlock(out, params.entry_flow.reduction_block_1);\n range(this._numMainBlocks, 0, 1).forEach((idx) => {\n out = mainBlock(out, params.middle_flow[`main_block_${idx}`]);\n });\n out = reductionBlock(out, params.exit_flow.reduction_block);\n out = tf.relu(depthwiseSeparableConv(out, params.exit_flow.separable_conv, [1, 1]));\n return out;\n });\n }\n\n public async forward(input: TNetInput): Promise {\n return this.forwardInput(await toNetInput(input));\n }\n\n protected getDefaultModelName(): string {\n return 'tiny_xception_model';\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n return extractParamsFromWeightMap(weightMap, this._numMainBlocks);\n }\n\n protected extractParams(weights: Float32Array) {\n return extractParams(weights, this._numMainBlocks);\n }\n}\n", "import { extractFCParamsFactory, extractWeightsFactory, ParamMapping } from '../common/index';\nimport { NetParams } from './types';\n\nexport function extractParams(weights: Float32Array): { params: NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n\n const extractFCParams = extractFCParamsFactory(extractWeights, paramMappings);\n\n const age = extractFCParams(512, 1, 'fc/age');\n const gender = extractFCParams(512, 2, 'fc/gender');\n\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n\n return {\n paramMappings,\n params: { fc: { age, gender } },\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { disposeUnusedWeightTensors, extractWeightEntryFactory, FCParams, ParamMapping } from '../common/index';\nimport { NetParams } from './types';\n\nexport function extractParamsFromWeightMap(\n weightMap: tf.NamedTensorMap,\n): { params: NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);\n\n function extractFcParams(prefix: string): FCParams {\n const weights = extractWeightEntry(`${prefix}/weights`, 2);\n const bias = extractWeightEntry(`${prefix}/bias`, 1);\n return { weights, bias };\n }\n\n const params = {\n fc: {\n age: extractFcParams('fc/age'),\n gender: extractFcParams('fc/gender'),\n },\n };\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n\n return { params, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { FCParams } from '../common/index';\n\n// eslint-disable-next-line no-shadow\nexport enum Gender {\n // eslint-disable-next-line no-unused-vars\n FEMALE = 'female',\n // eslint-disable-next-line no-unused-vars\n MALE = 'male'\n}\n\nexport type AgeAndGenderPrediction = {\n age: number\n gender: Gender\n genderProbability: number\n}\n\nexport type NetOutput = { age: tf.Tensor1D, gender: tf.Tensor2D }\n\nexport type NetParams = {\n fc: {\n age: FCParams\n gender: FCParams\n }\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport { fullyConnectedLayer } from '../common/fullyConnectedLayer';\nimport { seperateWeightMaps } from '../faceProcessor/util';\nimport { TinyXception } from '../xception/TinyXception';\nimport { extractParams } from './extractParams';\nimport { extractParamsFromWeightMap } from './extractParamsFromWeightMap';\nimport { AgeAndGenderPrediction, Gender, NetOutput, NetParams } from './types';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\n\nexport class AgeGenderNet extends NeuralNetwork {\n private _faceFeatureExtractor: TinyXception;\n\n constructor(faceFeatureExtractor: TinyXception = new TinyXception(2)) {\n super('AgeGenderNet');\n this._faceFeatureExtractor = faceFeatureExtractor;\n }\n\n public get faceFeatureExtractor(): TinyXception {\n return this._faceFeatureExtractor;\n }\n\n public runNet(input: NetInput | tf.Tensor4D): NetOutput {\n const { params } = this;\n\n if (!params) {\n throw new Error(`${this._name} - load model before inference`);\n }\n\n return tf.tidy(() => {\n const bottleneckFeatures = input instanceof NetInput\n ? this.faceFeatureExtractor.forwardInput(input)\n : input;\n\n const pooled = tf.avgPool(bottleneckFeatures, [7, 7], [2, 2], 'valid').as2D(bottleneckFeatures.shape[0], -1);\n const age = fullyConnectedLayer(pooled, params.fc.age).as1D();\n const gender = fullyConnectedLayer(pooled, params.fc.gender);\n return { age, gender };\n });\n }\n\n public forwardInput(input: NetInput | tf.Tensor4D): NetOutput {\n return tf.tidy(() => {\n const { age, gender } = this.runNet(input);\n return { age, gender: tf.softmax(gender) };\n });\n }\n\n public async forward(input: TNetInput): Promise {\n return this.forwardInput(await toNetInput(input));\n }\n\n public async predictAgeAndGender(input: TNetInput): Promise {\n const netInput = await toNetInput(input);\n const out = await this.forwardInput(netInput);\n\n const ages = tf.unstack(out.age);\n const genders = tf.unstack(out.gender);\n const ageAndGenderTensors = ages.map((ageTensor, i) => ({\n ageTensor,\n genderTensor: genders[i],\n }));\n\n const predictionsByBatch = await Promise.all(\n ageAndGenderTensors.map(async ({ ageTensor, genderTensor }) => {\n const age = (ageTensor.dataSync())[0];\n const probMale = (genderTensor.dataSync())[0];\n const isMale = probMale > 0.5;\n const gender = isMale ? Gender.MALE : Gender.FEMALE;\n const genderProbability = isMale ? probMale : (1 - probMale);\n\n ageTensor.dispose();\n genderTensor.dispose();\n return { age, gender, genderProbability };\n }),\n );\n out.age.dispose();\n out.gender.dispose();\n\n return netInput.isBatchInput ? predictionsByBatch as AgeAndGenderPrediction[] : predictionsByBatch[0] as AgeAndGenderPrediction;\n }\n\n protected getDefaultModelName(): string {\n return 'age_gender_model';\n }\n\n public override dispose(throwOnRedispose = true) {\n this.faceFeatureExtractor.dispose(throwOnRedispose);\n super.dispose(throwOnRedispose);\n }\n\n public loadClassifierParams(weights: Float32Array) {\n const { params, paramMappings } = this.extractClassifierParams(weights);\n this._params = params;\n this._paramMappings = paramMappings;\n }\n\n public extractClassifierParams(weights: Float32Array) {\n return extractParams(weights);\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n const { featureExtractorMap, classifierMap } = seperateWeightMaps(weightMap);\n\n this.faceFeatureExtractor.loadFromWeightMap(featureExtractorMap);\n\n return extractParamsFromWeightMap(classifierMap);\n }\n\n protected extractParams(weights: Float32Array) {\n const classifierWeightSize = (512 * 1 + 1) + (512 * 2 + 2);\n\n const featureExtractorWeights = weights.slice(0, weights.length - classifierWeightSize);\n const classifierWeights = weights.slice(weights.length - classifierWeightSize);\n\n this.faceFeatureExtractor.extractWeights(featureExtractorWeights);\n return this.extractClassifierParams(classifierWeights);\n }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { IDimensions, Point } from '../classes/index';\nimport { FaceLandmarks68 } from '../classes/FaceLandmarks68';\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\nimport { FaceFeatureExtractorParams, TinyFaceFeatureExtractorParams } from '../faceFeatureExtractor/types';\nimport { FaceProcessor } from '../faceProcessor/FaceProcessor';\nimport { isEven } from '../utils/index';\n\nexport abstract class FaceLandmark68NetBase<\n TExtractorParams extends FaceFeatureExtractorParams | TinyFaceFeatureExtractorParams\n>\n extends FaceProcessor {\n public postProcess(output: tf.Tensor2D, inputSize: number, originalDimensions: IDimensions[]): tf.Tensor2D {\n const inputDimensions = originalDimensions.map(({ width, height }) => {\n const scale = inputSize / Math.max(height, width);\n return {\n width: width * scale,\n height: height * scale,\n };\n });\n\n const batchSize = inputDimensions.length;\n\n return tf.tidy(() => {\n const createInterleavedTensor = (fillX: number, fillY: number) => tf.stack([tf.fill([68], fillX, 'float32'), tf.fill([68], fillY, 'float32')], 1).as2D(1, 136).as1D();\n\n // eslint-disable-next-line no-unused-vars\n const getPadding = (batchIdx: number, cond: (w: number, h: number) => boolean): number => {\n const { width, height } = inputDimensions[batchIdx];\n return cond(width, height) ? Math.abs(width - height) / 2 : 0;\n };\n\n const getPaddingX = (batchIdx: number) => getPadding(batchIdx, (w, h) => w < h);\n const getPaddingY = (batchIdx: number) => getPadding(batchIdx, (w, h) => h < w);\n\n const landmarkTensors = output\n .mul(tf.fill([batchSize, 136], inputSize, 'float32'))\n .sub(tf.stack(Array.from(Array(batchSize), (_, batchIdx) => createInterleavedTensor(\n getPaddingX(batchIdx),\n getPaddingY(batchIdx),\n ))))\n .div(tf.stack(Array.from(Array(batchSize), (_, batchIdx) => createInterleavedTensor(\n inputDimensions[batchIdx].width,\n inputDimensions[batchIdx].height,\n ))));\n\n return landmarkTensors as tf.Tensor2D;\n });\n }\n\n public forwardInput(input: NetInput): tf.Tensor2D {\n return tf.tidy(() => {\n const out = this.runNet(input);\n return this.postProcess(\n out,\n input.inputSize as number,\n input.inputDimensions.map(([height, width]) => ({ height, width })),\n );\n });\n }\n\n public async forward(input: TNetInput): Promise {\n return this.forwardInput(await toNetInput(input));\n }\n\n public async detectLandmarks(input: TNetInput): Promise {\n const netInput = await toNetInput(input);\n const landmarkTensors = tf.tidy(\n () => tf.unstack(this.forwardInput(netInput)),\n );\n\n const landmarksForBatch = await Promise.all(landmarkTensors.map(\n async (landmarkTensor, batchIdx) => {\n const landmarksArray = Array.from(landmarkTensor.dataSync());\n const xCoords = landmarksArray.filter((_, i) => isEven(i));\n const yCoords = landmarksArray.filter((_, i) => !isEven(i));\n\n return new FaceLandmarks68(\n Array(68).fill(0).map((_, i) => new Point(xCoords[i] as number, yCoords[i] as number)),\n {\n height: netInput.getInputHeight(batchIdx),\n width: netInput.getInputWidth(batchIdx),\n },\n );\n },\n ));\n\n landmarkTensors.forEach((t) => t.dispose());\n\n return netInput.isBatchInput ? landmarksForBatch as FaceLandmarks68[] : landmarksForBatch[0] as FaceLandmarks68;\n }\n\n protected getClassifierChannelsOut(): number {\n return 136;\n }\n}\n", "import { FaceFeatureExtractor } from '../faceFeatureExtractor/FaceFeatureExtractor';\nimport { FaceFeatureExtractorParams } from '../faceFeatureExtractor/types';\nimport { FaceLandmark68NetBase } from './FaceLandmark68NetBase';\n\nexport class FaceLandmark68Net extends FaceLandmark68NetBase {\n constructor(faceFeatureExtractor: FaceFeatureExtractor = new FaceFeatureExtractor()) {\n super('FaceLandmark68Net', faceFeatureExtractor);\n }\n\n protected getDefaultModelName(): string {\n return 'face_landmark_68_model';\n }\n\n protected getClassifierChannelsIn(): number {\n return 256;\n }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { disposeUnusedWeightTensors, ParamMapping } from '../common/index';\nimport { loadParamsFactory } from './loadParamsFactory';\nimport { TinyFaceFeatureExtractorParams } from './types';\n\nexport function extractParamsFromWeightMapTiny(\n weightMap: tf.NamedTensorMap,\n): { params: TinyFaceFeatureExtractorParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractDenseBlock3Params,\n } = loadParamsFactory(weightMap, paramMappings);\n\n const params = {\n dense0: extractDenseBlock3Params('dense0', true),\n dense1: extractDenseBlock3Params('dense1'),\n dense2: extractDenseBlock3Params('dense2'),\n };\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n\n return { params, paramMappings };\n}\n", "import { extractWeightsFactory, ParamMapping } from '../common/index';\nimport { extractorsFactory } from './extractorsFactory';\nimport { TinyFaceFeatureExtractorParams } from './types';\n\nexport function extractParamsTiny(weights: Float32Array): { params: TinyFaceFeatureExtractorParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n\n const {\n extractDenseBlock3Params,\n } = extractorsFactory(extractWeights, paramMappings);\n\n const dense0 = extractDenseBlock3Params(3, 32, 'dense0', true);\n const dense1 = extractDenseBlock3Params(32, 64, 'dense1');\n const dense2 = extractDenseBlock3Params(64, 128, 'dense2');\n\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n\n return {\n paramMappings,\n params: { dense0, dense1, dense2 },\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { normalize } from '../ops/index';\nimport { denseBlock3 } from './denseBlock';\nimport { extractParamsFromWeightMapTiny } from './extractParamsFromWeightMapTiny';\nimport { extractParamsTiny } from './extractParamsTiny';\nimport { IFaceFeatureExtractor, TinyFaceFeatureExtractorParams } from './types';\n\nexport class TinyFaceFeatureExtractor extends NeuralNetwork implements IFaceFeatureExtractor {\n constructor() {\n super('TinyFaceFeatureExtractor');\n }\n\n public forwardInput(input: NetInput): tf.Tensor4D {\n const { params } = this;\n\n if (!params) {\n throw new Error('TinyFaceFeatureExtractor - load model before inference');\n }\n\n return tf.tidy(() => {\n const batchTensor = tf.cast(input.toBatchTensor(112, true), 'float32');\n const meanRgb = [122.782, 117.001, 104.298];\n const normalized = normalize(batchTensor, meanRgb).div(255) as tf.Tensor4D;\n\n let out = denseBlock3(normalized, params.dense0, true);\n out = denseBlock3(out, params.dense1);\n out = denseBlock3(out, params.dense2);\n out = tf.avgPool(out, [14, 14], [2, 2], 'valid');\n\n return out;\n });\n }\n\n public async forward(input: TNetInput): Promise {\n return this.forwardInput(await toNetInput(input));\n }\n\n protected getDefaultModelName(): string {\n return 'face_feature_extractor_tiny_model';\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n return extractParamsFromWeightMapTiny(weightMap);\n }\n\n protected extractParams(weights: Float32Array) {\n return extractParamsTiny(weights);\n }\n}\n", "import { TinyFaceFeatureExtractor } from '../faceFeatureExtractor/TinyFaceFeatureExtractor';\nimport { TinyFaceFeatureExtractorParams } from '../faceFeatureExtractor/types';\nimport { FaceLandmark68NetBase } from './FaceLandmark68NetBase';\n\nexport class FaceLandmark68TinyNet extends FaceLandmark68NetBase {\n constructor(faceFeatureExtractor: TinyFaceFeatureExtractor = new TinyFaceFeatureExtractor()) {\n super('FaceLandmark68TinyNet', faceFeatureExtractor);\n }\n\n protected getDefaultModelName(): string {\n return 'face_landmark_68_tiny_model';\n }\n\n protected getClassifierChannelsIn(): number {\n return 128;\n }\n}\n", "import { FaceLandmark68Net } from './FaceLandmark68Net';\n\nexport * from './FaceLandmark68Net';\nexport * from './FaceLandmark68TinyNet';\nexport class FaceLandmarkNet extends FaceLandmark68Net {}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ScaleLayerParams } from './types';\n\nexport function scale(x: tf.Tensor4D, params: ScaleLayerParams): tf.Tensor4D {\n return tf.add(tf.mul(x, params.weights), params.biases);\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { scale } from './scaleLayer';\nimport { ConvLayerParams } from './types';\n\nfunction convLayer(\n x: tf.Tensor4D,\n params: ConvLayerParams,\n strides: [number, number],\n withRelu: boolean,\n padding: 'valid' | 'same' = 'same',\n): tf.Tensor4D {\n const { filters, bias } = params.conv;\n\n let out = tf.conv2d(x, filters, strides, padding);\n out = tf.add(out, bias);\n out = scale(out, params.scale);\n return withRelu ? tf.relu(out) : out;\n}\n\nexport function conv(x: tf.Tensor4D, params: ConvLayerParams) {\n return convLayer(x, params, [1, 1], true);\n}\n\nexport function convNoRelu(x: tf.Tensor4D, params: ConvLayerParams) {\n return convLayer(x, params, [1, 1], false);\n}\n\nexport function convDown(x: tf.Tensor4D, params: ConvLayerParams) {\n return convLayer(x, params, [2, 2], true, 'valid');\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams, extractWeightsFactory, ExtractWeightsFunction, ParamMapping } from '../common/index';\nimport { isFloat } from '../utils/index';\nimport { ConvLayerParams, NetParams, ResidualLayerParams, ScaleLayerParams } from './types';\n\nfunction extractorsFactory(extractWeights: ExtractWeightsFunction, paramMappings: ParamMapping[]) {\n function extractFilterValues(numFilterValues: number, numFilters: number, filterSize: number): tf.Tensor4D {\n const weights = extractWeights(numFilterValues);\n const depth = weights.length / (numFilters * filterSize * filterSize);\n\n if (isFloat(depth)) {\n throw new Error(`depth has to be an integer: ${depth}, weights.length: ${weights.length}, numFilters: ${numFilters}, filterSize: ${filterSize}`);\n }\n\n return tf.tidy(\n () => tf.transpose(\n tf.tensor4d(weights, [numFilters, depth, filterSize, filterSize]),\n [2, 3, 1, 0],\n ),\n );\n }\n\n function extractConvParams(\n numFilterValues: number,\n numFilters: number,\n filterSize: number,\n mappedPrefix: string,\n ): ConvParams {\n const filters = extractFilterValues(numFilterValues, numFilters, filterSize);\n const bias = tf.tensor1d(extractWeights(numFilters));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/filters` },\n { paramPath: `${mappedPrefix}/bias` },\n );\n\n return { filters, bias };\n }\n\n function extractScaleLayerParams(numWeights: number, mappedPrefix: string): ScaleLayerParams {\n const weights = tf.tensor1d(extractWeights(numWeights));\n const biases = tf.tensor1d(extractWeights(numWeights));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/weights` },\n { paramPath: `${mappedPrefix}/biases` },\n );\n\n return {\n weights,\n biases,\n };\n }\n\n function extractConvLayerParams(\n numFilterValues: number,\n numFilters: number,\n filterSize: number,\n mappedPrefix: string,\n ): ConvLayerParams {\n const conv = extractConvParams(numFilterValues, numFilters, filterSize, `${mappedPrefix}/conv`);\n const scale = extractScaleLayerParams(numFilters, `${mappedPrefix}/scale`);\n\n return { conv, scale };\n }\n\n function extractResidualLayerParams(\n numFilterValues: number,\n numFilters: number,\n filterSize: number,\n mappedPrefix: string,\n isDown = false,\n ): ResidualLayerParams {\n const conv1 = extractConvLayerParams((isDown ? 0.5 : 1) * numFilterValues, numFilters, filterSize, `${mappedPrefix}/conv1`);\n const conv2 = extractConvLayerParams(numFilterValues, numFilters, filterSize, `${mappedPrefix}/conv2`);\n\n return { conv1, conv2 };\n }\n\n return {\n extractConvLayerParams,\n extractResidualLayerParams,\n };\n}\n\nexport function extractParams(weights: Float32Array): { params: NetParams, paramMappings: ParamMapping[] } {\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractConvLayerParams,\n extractResidualLayerParams,\n } = extractorsFactory(extractWeights, paramMappings);\n\n const conv32_down = extractConvLayerParams(4704, 32, 7, 'conv32_down');\n const conv32_1 = extractResidualLayerParams(9216, 32, 3, 'conv32_1');\n const conv32_2 = extractResidualLayerParams(9216, 32, 3, 'conv32_2');\n const conv32_3 = extractResidualLayerParams(9216, 32, 3, 'conv32_3');\n\n const conv64_down = extractResidualLayerParams(36864, 64, 3, 'conv64_down', true);\n const conv64_1 = extractResidualLayerParams(36864, 64, 3, 'conv64_1');\n const conv64_2 = extractResidualLayerParams(36864, 64, 3, 'conv64_2');\n const conv64_3 = extractResidualLayerParams(36864, 64, 3, 'conv64_3');\n\n const conv128_down = extractResidualLayerParams(147456, 128, 3, 'conv128_down', true);\n const conv128_1 = extractResidualLayerParams(147456, 128, 3, 'conv128_1');\n const conv128_2 = extractResidualLayerParams(147456, 128, 3, 'conv128_2');\n\n const conv256_down = extractResidualLayerParams(589824, 256, 3, 'conv256_down', true);\n const conv256_1 = extractResidualLayerParams(589824, 256, 3, 'conv256_1');\n const conv256_2 = extractResidualLayerParams(589824, 256, 3, 'conv256_2');\n const conv256_down_out = extractResidualLayerParams(589824, 256, 3, 'conv256_down_out');\n\n const fc = tf.tidy(\n () => tf.transpose(tf.tensor2d(extractWeights(256 * 128), [128, 256]), [1, 0]),\n );\n paramMappings.push({ paramPath: 'fc' });\n\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n\n const params = {\n conv32_down,\n conv32_1,\n conv32_2,\n conv32_3,\n conv64_down,\n conv64_1,\n conv64_2,\n conv64_3,\n conv128_down,\n conv128_1,\n conv128_2,\n conv256_down,\n conv256_1,\n conv256_2,\n conv256_down_out,\n fc,\n };\n\n return { params, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { disposeUnusedWeightTensors, extractWeightEntryFactory, ParamMapping } from '../common/index';\nimport { isTensor2D } from '../utils/index';\nimport { ConvLayerParams, NetParams, ResidualLayerParams, ScaleLayerParams } from './types';\n\nfunction extractorsFactory(weightMap: any, paramMappings: ParamMapping[]) {\n const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);\n\n function extractScaleLayerParams(prefix: string): ScaleLayerParams {\n const weights = extractWeightEntry(`${prefix}/scale/weights`, 1);\n const biases = extractWeightEntry(`${prefix}/scale/biases`, 1);\n\n return { weights, biases };\n }\n\n function extractConvLayerParams(prefix: string): ConvLayerParams {\n const filters = extractWeightEntry(`${prefix}/conv/filters`, 4);\n const bias = extractWeightEntry(`${prefix}/conv/bias`, 1);\n const scale = extractScaleLayerParams(prefix);\n\n return { conv: { filters, bias }, scale };\n }\n\n function extractResidualLayerParams(prefix: string): ResidualLayerParams {\n return {\n conv1: extractConvLayerParams(`${prefix}/conv1`),\n conv2: extractConvLayerParams(`${prefix}/conv2`),\n };\n }\n\n return {\n extractConvLayerParams,\n extractResidualLayerParams,\n };\n}\n\nexport function extractParamsFromWeightMap(\n weightMap: tf.NamedTensorMap,\n): { params: NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractConvLayerParams,\n extractResidualLayerParams,\n } = extractorsFactory(weightMap, paramMappings);\n\n const conv32_down = extractConvLayerParams('conv32_down');\n const conv32_1 = extractResidualLayerParams('conv32_1');\n const conv32_2 = extractResidualLayerParams('conv32_2');\n const conv32_3 = extractResidualLayerParams('conv32_3');\n\n const conv64_down = extractResidualLayerParams('conv64_down');\n const conv64_1 = extractResidualLayerParams('conv64_1');\n const conv64_2 = extractResidualLayerParams('conv64_2');\n const conv64_3 = extractResidualLayerParams('conv64_3');\n\n const conv128_down = extractResidualLayerParams('conv128_down');\n const conv128_1 = extractResidualLayerParams('conv128_1');\n const conv128_2 = extractResidualLayerParams('conv128_2');\n\n const conv256_down = extractResidualLayerParams('conv256_down');\n const conv256_1 = extractResidualLayerParams('conv256_1');\n const conv256_2 = extractResidualLayerParams('conv256_2');\n const conv256_down_out = extractResidualLayerParams('conv256_down_out');\n\n const { fc } = weightMap;\n paramMappings.push({ originalPath: 'fc', paramPath: 'fc' });\n\n if (!isTensor2D(fc)) {\n throw new Error(`expected weightMap[fc] to be a Tensor2D, instead have ${fc}`);\n }\n\n const params = {\n conv32_down,\n conv32_1,\n conv32_2,\n conv32_3,\n conv64_down,\n conv64_1,\n conv64_2,\n conv64_3,\n conv128_down,\n conv128_1,\n conv128_2,\n conv256_down,\n conv256_1,\n conv256_2,\n conv256_down_out,\n fc,\n };\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n\n return { params, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { conv, convDown, convNoRelu } from './convLayer';\nimport { ResidualLayerParams } from './types';\n\nexport function residual(x: tf.Tensor4D, params: ResidualLayerParams): tf.Tensor4D {\n let out = conv(x, params.conv1);\n out = convNoRelu(out, params.conv2);\n out = tf.add(out, x);\n out = tf.relu(out);\n return out;\n}\n\nexport function residualDown(x: tf.Tensor4D, params: ResidualLayerParams): tf.Tensor4D {\n let out = convDown(x, params.conv1);\n out = convNoRelu(out, params.conv2);\n\n let pooled = tf.avgPool(x, 2, 2, 'valid') as tf.Tensor4D;\n const zeros = tf.zeros(pooled.shape);\n const isPad = pooled.shape[3] !== out.shape[3];\n const isAdjustShape = pooled.shape[1] !== out.shape[1] || pooled.shape[2] !== out.shape[2];\n\n if (isAdjustShape) {\n const padShapeX = [...out.shape] as [number, number, number, number];\n padShapeX[1] = 1;\n const zerosW = tf.zeros(padShapeX);\n out = tf.concat([out, zerosW], 1);\n\n const padShapeY = [...out.shape] as [number, number, number, number];\n padShapeY[2] = 1;\n const zerosH = tf.zeros(padShapeY);\n out = tf.concat([out, zerosH], 2);\n }\n\n pooled = isPad ? tf.concat([pooled, zeros], 3) : pooled;\n out = tf.add(pooled, out) as tf.Tensor4D;\n\n out = tf.relu(out);\n return out;\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { normalize } from '../ops/index';\nimport { convDown } from './convLayer';\nimport { extractParams } from './extractParams';\nimport { extractParamsFromWeightMap } from './extractParamsFromWeightMap';\nimport { residual, residualDown } from './residualLayer';\nimport { NetParams } from './types';\n\nexport class FaceRecognitionNet extends NeuralNetwork {\n constructor() {\n super('FaceRecognitionNet');\n }\n\n public forwardInput(input: NetInput): tf.Tensor2D {\n const { params } = this;\n\n if (!params) {\n throw new Error('FaceRecognitionNet - load model before inference');\n }\n\n return tf.tidy(() => {\n const batchTensor = tf.cast(input.toBatchTensor(150, true), 'float32');\n\n const meanRgb = [122.782, 117.001, 104.298];\n const normalized = normalize(batchTensor, meanRgb).div(255) as tf.Tensor4D;\n\n let out = convDown(normalized, params.conv32_down);\n out = tf.maxPool(out, 3, 2, 'valid');\n\n out = residual(out, params.conv32_1);\n out = residual(out, params.conv32_2);\n out = residual(out, params.conv32_3);\n\n out = residualDown(out, params.conv64_down);\n out = residual(out, params.conv64_1);\n out = residual(out, params.conv64_2);\n out = residual(out, params.conv64_3);\n\n out = residualDown(out, params.conv128_down);\n out = residual(out, params.conv128_1);\n out = residual(out, params.conv128_2);\n\n out = residualDown(out, params.conv256_down);\n out = residual(out, params.conv256_1);\n out = residual(out, params.conv256_2);\n out = residualDown(out, params.conv256_down_out);\n\n const globalAvg = out.mean([1, 2]) as tf.Tensor2D;\n const fullyConnected = tf.matMul(globalAvg, params.fc);\n\n return fullyConnected as tf.Tensor2D;\n });\n }\n\n public async forward(input: TNetInput): Promise {\n return this.forwardInput(await toNetInput(input));\n }\n\n public async computeFaceDescriptor(input: TNetInput): Promise {\n // @ts-ignore\n if (input?.shape?.some((dim) => dim <= 0)) return new Float32Array(128);\n const netInput = await toNetInput(input);\n const faceDescriptorTensors = tf.tidy(() => tf.unstack(this.forwardInput(netInput)));\n const faceDescriptorsForBatch = await Promise.all(faceDescriptorTensors.map((t) => t.data())) as Float32Array[];\n faceDescriptorTensors.forEach((t) => t.dispose());\n return netInput.isBatchInput ? faceDescriptorsForBatch : faceDescriptorsForBatch[0];\n }\n\n protected getDefaultModelName(): string {\n return 'face_recognition_model';\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n return extractParamsFromWeightMap(weightMap);\n }\n\n protected extractParams(weights: Float32Array) {\n return extractParams(weights);\n }\n}\n", "import { FaceRecognitionNet } from './FaceRecognitionNet';\n\nexport * from './FaceRecognitionNet';\n\nexport function createFaceRecognitionNet(weights: Float32Array) {\n const net = new FaceRecognitionNet();\n net.extractWeights(weights);\n return net;\n}\n", "export type WithFaceDescriptor = TSource & {\n descriptor: Float32Array\n}\n\nexport function extendWithFaceDescriptor<\n TSource\n>(\n sourceObj: TSource,\n descriptor: Float32Array,\n): WithFaceDescriptor {\n const extension = { descriptor };\n return { ...sourceObj, ...extension };\n}\n", "export type WithAge = TSource & {\n age: number\n}\n\nexport function isWithAge(obj: any): obj is WithAge<{}> {\n return typeof obj.age === 'number';\n}\n\nexport function extendWithAge<\n TSource\n>(\n sourceObj: TSource,\n age: number,\n): WithAge {\n const extension = { age };\n return { ...sourceObj, ...extension };\n}\n", "import { Gender } from '../ageGenderNet/types';\nimport { isValidProbablitiy } from '../utils/index';\n\nexport type WithGender = TSource & {\n gender: Gender\n genderProbability: number\n}\n\nexport function isWithGender(obj: any): obj is WithGender<{}> {\n return (obj.gender === Gender.MALE || obj.gender === Gender.FEMALE)\n && isValidProbablitiy(obj.genderProbability);\n}\n\nexport function extendWithGender<\n TSource\n>(\n sourceObj: TSource,\n gender: Gender,\n genderProbability: number,\n): WithGender {\n const extension = { gender, genderProbability };\n return { ...sourceObj, ...extension };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ExtractWeightsFunction, ParamMapping, ConvParams, extractWeightsFactory } from '../common/index';\nimport { MobileNetV1, NetParams, PointwiseConvParams, PredictionLayerParams } from './types';\n\nfunction extractorsFactory(extractWeights: ExtractWeightsFunction, paramMappings: ParamMapping[]) {\n function extractDepthwiseConvParams(numChannels: number, mappedPrefix: string): MobileNetV1.DepthwiseConvParams {\n const filters = tf.tensor4d(extractWeights(3 * 3 * numChannels), [3, 3, numChannels, 1]);\n const batch_norm_scale = tf.tensor1d(extractWeights(numChannels));\n const batch_norm_offset = tf.tensor1d(extractWeights(numChannels));\n const batch_norm_mean = tf.tensor1d(extractWeights(numChannels));\n const batch_norm_variance = tf.tensor1d(extractWeights(numChannels));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/filters` },\n { paramPath: `${mappedPrefix}/batch_norm_scale` },\n { paramPath: `${mappedPrefix}/batch_norm_offset` },\n { paramPath: `${mappedPrefix}/batch_norm_mean` },\n { paramPath: `${mappedPrefix}/batch_norm_variance` },\n );\n\n return {\n filters,\n batch_norm_scale,\n batch_norm_offset,\n batch_norm_mean,\n batch_norm_variance,\n };\n }\n\n function extractConvParams(\n channelsIn: number,\n channelsOut: number,\n filterSize: number,\n mappedPrefix: string,\n isPointwiseConv?: boolean,\n ): ConvParams {\n const filters = tf.tensor4d(\n extractWeights(channelsIn * channelsOut * filterSize * filterSize),\n [filterSize, filterSize, channelsIn, channelsOut],\n );\n const bias = tf.tensor1d(extractWeights(channelsOut));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/filters` },\n { paramPath: `${mappedPrefix}/${isPointwiseConv ? 'batch_norm_offset' : 'bias'}` },\n );\n\n return { filters, bias };\n }\n\n function extractPointwiseConvParams(\n channelsIn: number,\n channelsOut: number,\n filterSize: number,\n mappedPrefix: string,\n ): PointwiseConvParams {\n const {\n filters,\n bias,\n } = extractConvParams(channelsIn, channelsOut, filterSize, mappedPrefix, true);\n\n return {\n filters,\n batch_norm_offset: bias,\n };\n }\n\n function extractConvPairParams(\n channelsIn: number,\n channelsOut: number,\n mappedPrefix: string,\n ): MobileNetV1.ConvPairParams {\n const depthwise_conv = extractDepthwiseConvParams(channelsIn, `${mappedPrefix}/depthwise_conv`);\n const pointwise_conv = extractPointwiseConvParams(channelsIn, channelsOut, 1, `${mappedPrefix}/pointwise_conv`);\n\n return { depthwise_conv, pointwise_conv };\n }\n\n function extractMobilenetV1Params(): MobileNetV1.Params {\n const conv_0 = extractPointwiseConvParams(3, 32, 3, 'mobilenetv1/conv_0');\n const conv_1 = extractConvPairParams(32, 64, 'mobilenetv1/conv_1');\n const conv_2 = extractConvPairParams(64, 128, 'mobilenetv1/conv_2');\n const conv_3 = extractConvPairParams(128, 128, 'mobilenetv1/conv_3');\n const conv_4 = extractConvPairParams(128, 256, 'mobilenetv1/conv_4');\n const conv_5 = extractConvPairParams(256, 256, 'mobilenetv1/conv_5');\n const conv_6 = extractConvPairParams(256, 512, 'mobilenetv1/conv_6');\n const conv_7 = extractConvPairParams(512, 512, 'mobilenetv1/conv_7');\n const conv_8 = extractConvPairParams(512, 512, 'mobilenetv1/conv_8');\n const conv_9 = extractConvPairParams(512, 512, 'mobilenetv1/conv_9');\n const conv_10 = extractConvPairParams(512, 512, 'mobilenetv1/conv_10');\n const conv_11 = extractConvPairParams(512, 512, 'mobilenetv1/conv_11');\n const conv_12 = extractConvPairParams(512, 1024, 'mobilenetv1/conv_12');\n const conv_13 = extractConvPairParams(1024, 1024, 'mobilenetv1/conv_13');\n return {\n conv_0,\n conv_1,\n conv_2,\n conv_3,\n conv_4,\n conv_5,\n conv_6,\n conv_7,\n conv_8,\n conv_9,\n conv_10,\n conv_11,\n conv_12,\n conv_13,\n };\n }\n\n function extractPredictionLayerParams(): PredictionLayerParams {\n const conv_0 = extractPointwiseConvParams(1024, 256, 1, 'prediction_layer/conv_0');\n const conv_1 = extractPointwiseConvParams(256, 512, 3, 'prediction_layer/conv_1');\n const conv_2 = extractPointwiseConvParams(512, 128, 1, 'prediction_layer/conv_2');\n const conv_3 = extractPointwiseConvParams(128, 256, 3, 'prediction_layer/conv_3');\n const conv_4 = extractPointwiseConvParams(256, 128, 1, 'prediction_layer/conv_4');\n const conv_5 = extractPointwiseConvParams(128, 256, 3, 'prediction_layer/conv_5');\n const conv_6 = extractPointwiseConvParams(256, 64, 1, 'prediction_layer/conv_6');\n const conv_7 = extractPointwiseConvParams(64, 128, 3, 'prediction_layer/conv_7');\n const box_encoding_0_predictor = extractConvParams(512, 12, 1, 'prediction_layer/box_predictor_0/box_encoding_predictor');\n const class_predictor_0 = extractConvParams(512, 9, 1, 'prediction_layer/box_predictor_0/class_predictor');\n const box_encoding_1_predictor = extractConvParams(1024, 24, 1, 'prediction_layer/box_predictor_1/box_encoding_predictor');\n const class_predictor_1 = extractConvParams(1024, 18, 1, 'prediction_layer/box_predictor_1/class_predictor');\n const box_encoding_2_predictor = extractConvParams(512, 24, 1, 'prediction_layer/box_predictor_2/box_encoding_predictor');\n const class_predictor_2 = extractConvParams(512, 18, 1, 'prediction_layer/box_predictor_2/class_predictor');\n const box_encoding_3_predictor = extractConvParams(256, 24, 1, 'prediction_layer/box_predictor_3/box_encoding_predictor');\n const class_predictor_3 = extractConvParams(256, 18, 1, 'prediction_layer/box_predictor_3/class_predictor');\n const box_encoding_4_predictor = extractConvParams(256, 24, 1, 'prediction_layer/box_predictor_4/box_encoding_predictor');\n const class_predictor_4 = extractConvParams(256, 18, 1, 'prediction_layer/box_predictor_4/class_predictor');\n const box_encoding_5_predictor = extractConvParams(128, 24, 1, 'prediction_layer/box_predictor_5/box_encoding_predictor');\n const class_predictor_5 = extractConvParams(128, 18, 1, 'prediction_layer/box_predictor_5/class_predictor');\n\n const box_predictor_0 = {\n box_encoding_predictor: box_encoding_0_predictor,\n class_predictor: class_predictor_0,\n };\n const box_predictor_1 = {\n box_encoding_predictor: box_encoding_1_predictor,\n class_predictor: class_predictor_1,\n };\n const box_predictor_2 = {\n box_encoding_predictor: box_encoding_2_predictor,\n class_predictor: class_predictor_2,\n };\n const box_predictor_3 = {\n box_encoding_predictor: box_encoding_3_predictor,\n class_predictor: class_predictor_3,\n };\n const box_predictor_4 = {\n box_encoding_predictor: box_encoding_4_predictor,\n class_predictor: class_predictor_4,\n };\n const box_predictor_5 = {\n box_encoding_predictor: box_encoding_5_predictor,\n class_predictor: class_predictor_5,\n };\n return {\n conv_0,\n conv_1,\n conv_2,\n conv_3,\n conv_4,\n conv_5,\n conv_6,\n conv_7,\n box_predictor_0,\n box_predictor_1,\n box_predictor_2,\n box_predictor_3,\n box_predictor_4,\n box_predictor_5,\n };\n }\n\n return {\n extractMobilenetV1Params,\n extractPredictionLayerParams,\n };\n}\n\nexport function extractParams(weights: Float32Array): { params: NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n const {\n extractMobilenetV1Params,\n extractPredictionLayerParams,\n } = extractorsFactory(extractWeights, paramMappings);\n const mobilenetv1 = extractMobilenetV1Params();\n const prediction_layer = extractPredictionLayerParams();\n const extra_dim = tf.tensor3d(\n extractWeights(5118 * 4),\n [1, 5118, 4],\n );\n const output_layer = {\n extra_dim,\n };\n paramMappings.push({ paramPath: 'output_layer/extra_dim' });\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n\n return {\n params: {\n mobilenetv1,\n prediction_layer,\n output_layer,\n },\n paramMappings,\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams, disposeUnusedWeightTensors, extractWeightEntryFactory, ParamMapping } from '../common/index';\nimport { isTensor3D } from '../utils/index';\nimport { BoxPredictionParams, MobileNetV1, NetParams, PointwiseConvParams, PredictionLayerParams } from './types';\n\nfunction extractorsFactory(weightMap: any, paramMappings: ParamMapping[]) {\n const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);\n\n function extractPointwiseConvParams(prefix: string, idx: number, mappedPrefix: string): PointwiseConvParams {\n const filters = extractWeightEntry(`${prefix}/Conv2d_${idx}_pointwise/weights`, 4, `${mappedPrefix}/filters`);\n const batch_norm_offset = extractWeightEntry(`${prefix}/Conv2d_${idx}_pointwise/convolution_bn_offset`, 1, `${mappedPrefix}/batch_norm_offset`);\n return { filters, batch_norm_offset };\n }\n\n function extractConvPairParams(idx: number): MobileNetV1.ConvPairParams {\n const mappedPrefix = `mobilenetv1/conv_${idx}`;\n const prefixDepthwiseConv = `MobilenetV1/Conv2d_${idx}_depthwise`;\n const mappedPrefixDepthwiseConv = `${mappedPrefix}/depthwise_conv`;\n const mappedPrefixPointwiseConv = `${mappedPrefix}/pointwise_conv`;\n\n const filters = extractWeightEntry(`${prefixDepthwiseConv}/depthwise_weights`, 4, `${mappedPrefixDepthwiseConv}/filters`);\n const batch_norm_scale = extractWeightEntry(`${prefixDepthwiseConv}/BatchNorm/gamma`, 1, `${mappedPrefixDepthwiseConv}/batch_norm_scale`);\n const batch_norm_offset = extractWeightEntry(`${prefixDepthwiseConv}/BatchNorm/beta`, 1, `${mappedPrefixDepthwiseConv}/batch_norm_offset`);\n const batch_norm_mean = extractWeightEntry(`${prefixDepthwiseConv}/BatchNorm/moving_mean`, 1, `${mappedPrefixDepthwiseConv}/batch_norm_mean`);\n const batch_norm_variance = extractWeightEntry(`${prefixDepthwiseConv}/BatchNorm/moving_variance`, 1, `${mappedPrefixDepthwiseConv}/batch_norm_variance`);\n\n return {\n depthwise_conv: {\n filters,\n batch_norm_scale,\n batch_norm_offset,\n batch_norm_mean,\n batch_norm_variance,\n },\n pointwise_conv: extractPointwiseConvParams('MobilenetV1', idx, mappedPrefixPointwiseConv),\n };\n }\n\n function extractMobilenetV1Params(): MobileNetV1.Params {\n return {\n conv_0: extractPointwiseConvParams('MobilenetV1', 0, 'mobilenetv1/conv_0'),\n conv_1: extractConvPairParams(1),\n conv_2: extractConvPairParams(2),\n conv_3: extractConvPairParams(3),\n conv_4: extractConvPairParams(4),\n conv_5: extractConvPairParams(5),\n conv_6: extractConvPairParams(6),\n conv_7: extractConvPairParams(7),\n conv_8: extractConvPairParams(8),\n conv_9: extractConvPairParams(9),\n conv_10: extractConvPairParams(10),\n conv_11: extractConvPairParams(11),\n conv_12: extractConvPairParams(12),\n conv_13: extractConvPairParams(13),\n };\n }\n\n function extractConvParams(prefix: string, mappedPrefix: string): ConvParams {\n const filters = extractWeightEntry(`${prefix}/weights`, 4, `${mappedPrefix}/filters`);\n const bias = extractWeightEntry(`${prefix}/biases`, 1, `${mappedPrefix}/bias`);\n return { filters, bias };\n }\n\n function extractBoxPredictorParams(idx: number): BoxPredictionParams {\n const box_encoding_predictor = extractConvParams(\n `Prediction/BoxPredictor_${idx}/BoxEncodingPredictor`,\n `prediction_layer/box_predictor_${idx}/box_encoding_predictor`,\n );\n const class_predictor = extractConvParams(\n `Prediction/BoxPredictor_${idx}/ClassPredictor`,\n `prediction_layer/box_predictor_${idx}/class_predictor`,\n );\n return { box_encoding_predictor, class_predictor };\n }\n\n function extractPredictionLayerParams(): PredictionLayerParams {\n return {\n conv_0: extractPointwiseConvParams('Prediction', 0, 'prediction_layer/conv_0'),\n conv_1: extractPointwiseConvParams('Prediction', 1, 'prediction_layer/conv_1'),\n conv_2: extractPointwiseConvParams('Prediction', 2, 'prediction_layer/conv_2'),\n conv_3: extractPointwiseConvParams('Prediction', 3, 'prediction_layer/conv_3'),\n conv_4: extractPointwiseConvParams('Prediction', 4, 'prediction_layer/conv_4'),\n conv_5: extractPointwiseConvParams('Prediction', 5, 'prediction_layer/conv_5'),\n conv_6: extractPointwiseConvParams('Prediction', 6, 'prediction_layer/conv_6'),\n conv_7: extractPointwiseConvParams('Prediction', 7, 'prediction_layer/conv_7'),\n box_predictor_0: extractBoxPredictorParams(0),\n box_predictor_1: extractBoxPredictorParams(1),\n box_predictor_2: extractBoxPredictorParams(2),\n box_predictor_3: extractBoxPredictorParams(3),\n box_predictor_4: extractBoxPredictorParams(4),\n box_predictor_5: extractBoxPredictorParams(5),\n };\n }\n\n return {\n extractMobilenetV1Params,\n extractPredictionLayerParams,\n };\n}\n\nexport function extractParamsFromWeightMap(\n weightMap: tf.NamedTensorMap,\n): { params: NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n const {\n extractMobilenetV1Params,\n extractPredictionLayerParams,\n } = extractorsFactory(weightMap, paramMappings);\n const extra_dim = weightMap['Output/extra_dim'];\n paramMappings.push({ originalPath: 'Output/extra_dim', paramPath: 'output_layer/extra_dim' });\n if (!isTensor3D(extra_dim)) {\n throw new Error(`expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have ${extra_dim}`);\n }\n\n const params = {\n mobilenetv1: extractMobilenetV1Params(),\n prediction_layer: extractPredictionLayerParams(),\n output_layer: {\n extra_dim,\n },\n };\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n return { params, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { PointwiseConvParams } from './types';\n\nexport function pointwiseConvLayer(x: tf.Tensor4D, params: PointwiseConvParams, strides: [number, number]) {\n return tf.tidy(() => {\n let out = tf.conv2d(x, params.filters, strides, 'same');\n out = tf.add(out, params.batch_norm_offset);\n return tf.clipByValue(out, 0, 6);\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { pointwiseConvLayer } from './pointwiseConvLayer';\nimport { MobileNetV1 } from './types';\n\nconst epsilon = 0.0010000000474974513;\n\nfunction depthwiseConvLayer(x: tf.Tensor4D, params: MobileNetV1.DepthwiseConvParams, strides: [number, number]) {\n return tf.tidy(() => {\n let out = tf.depthwiseConv2d(x, params.filters, strides, 'same');\n out = tf.batchNorm(\n out,\n params.batch_norm_mean,\n params.batch_norm_variance,\n params.batch_norm_offset,\n params.batch_norm_scale,\n epsilon,\n );\n return tf.clipByValue(out, 0, 6);\n });\n}\n\nfunction getStridesForLayerIdx(layerIdx: number): [number, number] {\n return [2, 4, 6, 12].some((idx) => idx === layerIdx) ? [2, 2] : [1, 1];\n}\n\nexport function mobileNetV1(x: tf.Tensor4D, params: MobileNetV1.Params) {\n return tf.tidy(() => {\n let conv11;\n let out = pointwiseConvLayer(x, params.conv_0, [2, 2]);\n\n const convPairParams = [\n params.conv_1,\n params.conv_2,\n params.conv_3,\n params.conv_4,\n params.conv_5,\n params.conv_6,\n params.conv_7,\n params.conv_8,\n params.conv_9,\n params.conv_10,\n params.conv_11,\n params.conv_12,\n params.conv_13,\n ];\n\n convPairParams.forEach((param, i) => {\n const layerIdx = i + 1;\n const depthwiseConvStrides = getStridesForLayerIdx(layerIdx);\n out = depthwiseConvLayer(out, param.depthwise_conv, depthwiseConvStrides);\n out = pointwiseConvLayer(out, param.pointwise_conv, [1, 1]);\n if (layerIdx === 11) conv11 = out;\n });\n\n if (conv11 === null) {\n throw new Error('mobileNetV1 - output of conv layer 11 is null');\n }\n\n return {\n out,\n conv11: conv11 as any,\n };\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nfunction IOU(boxes: tf.Tensor2D, i: number, j: number) {\n const boxesData = boxes.arraySync();\n const yminI = Math.min(boxesData[i][0], boxesData[i][2]);\n const xminI = Math.min(boxesData[i][1], boxesData[i][3]);\n const ymaxI = Math.max(boxesData[i][0], boxesData[i][2]);\n const xmaxI = Math.max(boxesData[i][1], boxesData[i][3]);\n const yminJ = Math.min(boxesData[j][0], boxesData[j][2]);\n const xminJ = Math.min(boxesData[j][1], boxesData[j][3]);\n const ymaxJ = Math.max(boxesData[j][0], boxesData[j][2]);\n const xmaxJ = Math.max(boxesData[j][1], boxesData[j][3]);\n const areaI = (ymaxI - yminI) * (xmaxI - xminI);\n const areaJ = (ymaxJ - yminJ) * (xmaxJ - xminJ);\n if (areaI <= 0 || areaJ <= 0) return 0.0;\n const intersectionYmin = Math.max(yminI, yminJ);\n const intersectionXmin = Math.max(xminI, xminJ);\n const intersectionYmax = Math.min(ymaxI, ymaxJ);\n const intersectionXmax = Math.min(xmaxI, xmaxJ);\n const intersectionArea = Math.max(intersectionYmax - intersectionYmin, 0.0) * Math.max(intersectionXmax - intersectionXmin, 0.0);\n return intersectionArea / (areaI + areaJ - intersectionArea);\n}\n\nexport function nonMaxSuppression(\n boxes: tf.Tensor2D,\n scores: number[],\n maxOutputSize: number,\n iouThreshold: number,\n scoreThreshold: number,\n): number[] {\n const numBoxes = boxes.shape[0];\n const outputSize = Math.min(maxOutputSize, numBoxes);\n\n const candidates = scores\n .map((score, boxIndex) => ({ score, boxIndex }))\n .filter((c) => c.score > scoreThreshold)\n .sort((c1, c2) => c2.score - c1.score);\n\n const suppressFunc = (x: number) => (x <= iouThreshold ? 1 : 0);\n const selected: number[] = [];\n\n candidates.forEach((c) => {\n if (selected.length >= outputSize) return;\n const originalScore = c.score;\n for (let j = selected.length - 1; j >= 0; --j) {\n const iou = IOU(boxes, c.boxIndex, selected[j]);\n if (iou === 0.0) continue;\n c.score *= suppressFunc(iou);\n if (c.score <= scoreThreshold) break;\n }\n if (originalScore === c.score) {\n selected.push(c.boxIndex);\n }\n });\n return selected;\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { OutputLayerParams } from './types';\n\nfunction getCenterCoordinatesAndSizesLayer(x: tf.Tensor2D) {\n const vec = tf.unstack(tf.transpose(x, [1, 0]));\n\n const sizes = [\n tf.sub(vec[2], vec[0]),\n tf.sub(vec[3], vec[1]),\n ];\n const centers = [\n tf.add(vec[0], tf.div(sizes[0], 2)),\n tf.add(vec[1], tf.div(sizes[1], 2)),\n ];\n return { sizes, centers };\n}\n\nfunction decodeBoxesLayer(x0: tf.Tensor2D, x1: tf.Tensor2D) {\n const { sizes, centers } = getCenterCoordinatesAndSizesLayer(x0);\n\n const vec = tf.unstack(tf.transpose(x1, [1, 0]));\n const div0_out = tf.div(tf.mul(tf.exp(tf.div(vec[2], 5)), sizes[0]), 2);\n const add0_out = tf.add(tf.mul(tf.div(vec[0], 10), sizes[0]), centers[0]);\n const div1_out = tf.div(tf.mul(tf.exp(tf.div(vec[3], 5)), sizes[1]), 2);\n const add1_out = tf.add(tf.mul(tf.div(vec[1], 10), sizes[1]), centers[1]);\n\n return tf.transpose(\n tf.stack([\n tf.sub(add0_out, div0_out),\n tf.sub(add1_out, div1_out),\n tf.add(add0_out, div0_out),\n tf.add(add1_out, div1_out),\n ]),\n [1, 0],\n );\n}\n\nexport function outputLayer(boxPredictions: tf.Tensor4D, classPredictions: tf.Tensor4D, params: OutputLayerParams) {\n return tf.tidy(() => {\n const batchSize = boxPredictions.shape[0];\n\n let boxes = decodeBoxesLayer(\n tf.reshape(tf.tile(params.extra_dim, [batchSize, 1, 1]), [-1, 4]) as tf.Tensor2D,\n tf.reshape(boxPredictions, [-1, 4]) as tf.Tensor2D,\n );\n boxes = tf.reshape(boxes, [batchSize, (boxes.shape[0] / batchSize), 4]);\n\n const scoresAndClasses = tf.sigmoid(tf.slice(classPredictions, [0, 0, 1], [-1, -1, -1]));\n let scores = tf.slice(scoresAndClasses, [0, 0, 0], [-1, -1, 1]) as tf.Tensor;\n\n scores = tf.reshape(scores, [batchSize, scores.shape[1] as number]);\n\n const boxesByBatch = tf.unstack(boxes) as tf.Tensor2D[];\n const scoresByBatch = tf.unstack(scores) as tf.Tensor1D[];\n\n return { boxes: boxesByBatch, scores: scoresByBatch };\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { convLayer } from '../common/index';\nimport { BoxPredictionParams } from './types';\n\nexport function boxPredictionLayer(\n x: tf.Tensor4D,\n params: BoxPredictionParams,\n) {\n return tf.tidy(() => {\n const batchSize = x.shape[0];\n const boxPredictionEncoding = tf.reshape(\n convLayer(x, params.box_encoding_predictor),\n [batchSize, -1, 1, 4],\n );\n const classPrediction = tf.reshape(\n convLayer(x, params.class_predictor),\n [batchSize, -1, 3],\n );\n return { boxPredictionEncoding, classPrediction };\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { boxPredictionLayer } from './boxPredictionLayer';\nimport { pointwiseConvLayer } from './pointwiseConvLayer';\nimport { PredictionLayerParams } from './types';\n\nexport function predictionLayer(\n x: tf.Tensor4D,\n conv11: tf.Tensor4D,\n params: PredictionLayerParams,\n) {\n return tf.tidy(() => {\n const conv0 = pointwiseConvLayer(x, params.conv_0, [1, 1]);\n const conv1 = pointwiseConvLayer(conv0, params.conv_1, [2, 2]);\n const conv2 = pointwiseConvLayer(conv1, params.conv_2, [1, 1]);\n const conv3 = pointwiseConvLayer(conv2, params.conv_3, [2, 2]);\n const conv4 = pointwiseConvLayer(conv3, params.conv_4, [1, 1]);\n const conv5 = pointwiseConvLayer(conv4, params.conv_5, [2, 2]);\n const conv6 = pointwiseConvLayer(conv5, params.conv_6, [1, 1]);\n const conv7 = pointwiseConvLayer(conv6, params.conv_7, [2, 2]);\n\n const boxPrediction0 = boxPredictionLayer(conv11, params.box_predictor_0);\n const boxPrediction1 = boxPredictionLayer(x, params.box_predictor_1);\n const boxPrediction2 = boxPredictionLayer(conv1, params.box_predictor_2);\n const boxPrediction3 = boxPredictionLayer(conv3, params.box_predictor_3);\n const boxPrediction4 = boxPredictionLayer(conv5, params.box_predictor_4);\n const boxPrediction5 = boxPredictionLayer(conv7, params.box_predictor_5);\n\n const boxPredictions = tf.concat([\n boxPrediction0.boxPredictionEncoding,\n boxPrediction1.boxPredictionEncoding,\n boxPrediction2.boxPredictionEncoding,\n boxPrediction3.boxPredictionEncoding,\n boxPrediction4.boxPredictionEncoding,\n boxPrediction5.boxPredictionEncoding,\n ], 1) as tf.Tensor4D;\n\n const classPredictions = tf.concat([\n boxPrediction0.classPrediction,\n boxPrediction1.classPrediction,\n boxPrediction2.classPrediction,\n boxPrediction3.classPrediction,\n boxPrediction4.classPrediction,\n boxPrediction5.classPrediction,\n ], 1) as tf.Tensor4D;\n\n return {\n boxPredictions,\n classPredictions,\n };\n });\n}\n", "export interface ISsdMobilenetv1Options {\n minConfidence?: number\n maxResults?: number\n}\n\nexport class SsdMobilenetv1Options {\n protected _name = 'SsdMobilenetv1Options';\n\n private _minConfidence: number;\n\n private _maxResults: number;\n\n constructor({ minConfidence, maxResults }: ISsdMobilenetv1Options = {}) {\n this._minConfidence = minConfidence || 0.5;\n this._maxResults = maxResults || 100;\n\n if (typeof this._minConfidence !== 'number' || this._minConfidence <= 0 || this._minConfidence >= 1) {\n throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);\n }\n\n if (typeof this._maxResults !== 'number') {\n throw new Error(`${this._name} - expected maxResults to be a number`);\n }\n }\n\n get minConfidence(): number { return this._minConfidence; }\n\n get maxResults(): number { return this._maxResults; }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { Rect } from '../classes/index';\nimport { FaceDetection } from '../classes/FaceDetection';\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { extractParams } from './extractParams';\nimport { extractParamsFromWeightMap } from './extractParamsFromWeightMap';\nimport { mobileNetV1 } from './mobileNetV1';\nimport { nonMaxSuppression } from './nonMaxSuppression';\nimport { outputLayer } from './outputLayer';\nimport { predictionLayer } from './predictionLayer';\nimport { ISsdMobilenetv1Options, SsdMobilenetv1Options } from './SsdMobilenetv1Options';\nimport { NetParams } from './types';\n\nexport class SsdMobilenetv1 extends NeuralNetwork {\n constructor() {\n super('SsdMobilenetv1');\n }\n\n public forwardInput(input: NetInput) {\n const { params } = this;\n if (!params) throw new Error('SsdMobilenetv1 - load model before inference');\n return tf.tidy(() => {\n const batchTensor = tf.cast(input.toBatchTensor(512, false), 'float32');\n const x = tf.sub(tf.div(batchTensor, 127.5), 1) as tf.Tensor4D; // input is normalized -1..1\n const features = mobileNetV1(x, params.mobilenetv1);\n const { boxPredictions, classPredictions } = predictionLayer(features.out, features.conv11, params.prediction_layer);\n return outputLayer(boxPredictions, classPredictions, params.output_layer);\n });\n }\n\n public async forward(input: TNetInput) {\n return this.forwardInput(await toNetInput(input));\n }\n\n public async locateFaces(input: TNetInput, options: ISsdMobilenetv1Options = {}): Promise {\n const { maxResults, minConfidence } = new SsdMobilenetv1Options(options);\n const netInput = await toNetInput(input);\n const { boxes: _boxes, scores: _scores } = this.forwardInput(netInput);\n const boxes = _boxes[0];\n const scores = _scores[0];\n for (let i = 1; i < _boxes.length; i++) {\n _boxes[i].dispose();\n _scores[i].dispose();\n }\n const scoresData = Array.from(scores.dataSync());\n const iouThreshold = 0.5;\n const indices = nonMaxSuppression(boxes, scoresData as number[], maxResults, iouThreshold, minConfidence);\n const reshapedDims = netInput.getReshapedInputDimensions(0);\n const inputSize = netInput.inputSize as number;\n const padX = inputSize / reshapedDims.width;\n const padY = inputSize / reshapedDims.height;\n const boxesData = boxes.arraySync();\n const results = indices\n .map((idx) => {\n const [top, bottom] = [\n Math.max(0, boxesData[idx][0]),\n Math.min(1.0, boxesData[idx][2]),\n ].map((val) => val * padY);\n const [left, right] = [\n Math.max(0, boxesData[idx][1]),\n Math.min(1.0, boxesData[idx][3]),\n ].map((val) => val * padX);\n return new FaceDetection(\n scoresData[idx] as number,\n new Rect(left, top, right - left, bottom - top),\n { height: netInput.getInputHeight(0), width: netInput.getInputWidth(0) },\n );\n });\n boxes.dispose();\n scores.dispose();\n return results;\n }\n\n protected getDefaultModelName(): string {\n return 'ssd_mobilenetv1_model';\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n return extractParamsFromWeightMap(weightMap);\n }\n\n protected extractParams(weights: Float32Array) {\n return extractParams(weights);\n }\n}\n", "import { SsdMobilenetv1 } from './SsdMobilenetv1';\n\nexport * from './SsdMobilenetv1';\nexport * from './SsdMobilenetv1Options';\n\nexport function createSsdMobilenetv1(weights: Float32Array) {\n const net = new SsdMobilenetv1();\n net.extractWeights(weights);\n return net;\n}\n\nexport function createFaceDetectionNet(weights: Float32Array) {\n return createSsdMobilenetv1(weights);\n}\n\n// alias for backward compatibily\nexport class FaceDetectionNet extends SsdMobilenetv1 {}\n", "import { Point } from '../classes/index';\n\nexport const IOU_THRESHOLD = 0.4;\n\nexport const BOX_ANCHORS = [\n new Point(0.738768, 0.874946),\n new Point(2.42204, 2.65704),\n new Point(4.30971, 7.04493),\n new Point(10.246, 4.59428),\n new Point(12.6868, 11.8741),\n];\n\nexport const BOX_ANCHORS_SEPARABLE = [\n new Point(1.603231, 2.094468),\n new Point(6.041143, 7.080126),\n new Point(2.882459, 3.518061),\n new Point(4.266906, 5.178857),\n new Point(9.041765, 10.66308),\n];\n\nexport const MEAN_RGB_SEPARABLE: [number, number, number] = [117.001, 114.697, 97.404];\n\nexport const DEFAULT_MODEL_NAME = 'tiny_yolov2_model';\nexport const DEFAULT_MODEL_NAME_SEPARABLE_CONV = 'tiny_yolov2_separable_conv_model';\n", "import { Point } from '../classes/Point';\n\nexport type TinyYolov2Config = {\n withSeparableConvs: boolean\n iouThreshold: number\n anchors: Point[]\n classes: string[]\n meanRgb?: [number, number, number]\n withClassScores?: boolean,\n filterSizes?: number[]\n isFirstLayerConv2d?: boolean\n}\n\nconst isNumber = (arg: any) => typeof arg === 'number';\n\nexport function validateConfig(config: any) {\n if (!config) {\n throw new Error(`invalid config: ${config}`);\n }\n\n if (typeof config.withSeparableConvs !== 'boolean') {\n throw new Error(`config.withSeparableConvs has to be a boolean, have: ${config.withSeparableConvs}`);\n }\n\n if (!isNumber(config.iouThreshold) || config.iouThreshold < 0 || config.iouThreshold > 1.0) {\n throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${config.iouThreshold}`);\n }\n\n if (\n !Array.isArray(config.classes)\n || !config.classes.length\n || !config.classes.every((c: any) => typeof c === 'string')\n ) {\n throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(config.classes)}`);\n }\n\n if (\n !Array.isArray(config.anchors)\n || !config.anchors.length\n || !config.anchors.map((a: any) => a || {}).every((a: any) => isNumber(a.x) && isNumber(a.y))\n ) {\n throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(config.anchors)}`);\n }\n\n if (config.meanRgb && (\n !Array.isArray(config.meanRgb)\n || config.meanRgb.length !== 3\n || !config.meanRgb.every(isNumber)\n )) {\n throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(config.meanRgb)}`);\n }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nexport function leaky(x: tf.Tensor4D): tf.Tensor4D {\n return tf.tidy(() => {\n const min = tf.mul(x, tf.scalar(0.10000000149011612));\n return tf.add(tf.relu(tf.sub(x, min)), min);\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { leaky } from './leaky';\nimport { ConvWithBatchNorm } from './types';\n\nexport function convWithBatchNorm(x: tf.Tensor4D, params: ConvWithBatchNorm): tf.Tensor4D {\n return tf.tidy(() => {\n let out = tf.pad(x, [[0, 0], [1, 1], [1, 1], [0, 0]]) as tf.Tensor4D;\n out = tf.conv2d(out, params.conv.filters, [1, 1], 'valid');\n out = tf.sub(out, params.bn.sub);\n out = tf.mul(out, params.bn.truediv);\n out = tf.add(out, params.conv.bias);\n return leaky(out);\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { SeparableConvParams } from '../common/types';\nimport { leaky } from './leaky';\n\nexport function depthwiseSeparableConv(x: tf.Tensor4D, params: SeparableConvParams): tf.Tensor4D {\n return tf.tidy(() => {\n let out = tf.pad(x, [[0, 0], [1, 1], [1, 1], [0, 0]]) as tf.Tensor4D;\n out = tf.separableConv2d(out, params.depthwise_filter, params.pointwise_filter, [1, 1], 'valid');\n out = tf.add(out, params.bias);\n return leaky(out);\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { extractConvParamsFactory } from '../common/index';\nimport { extractSeparableConvParamsFactory } from '../common/extractSeparableConvParamsFactory';\nimport { extractWeightsFactory } from '../common/extractWeightsFactory';\nimport { ExtractWeightsFunction, ParamMapping } from '../common/types';\nimport { TinyYolov2Config } from './config';\nimport { BatchNorm, ConvWithBatchNorm, TinyYolov2NetParams } from './types';\n\nfunction extractorsFactory(extractWeights: ExtractWeightsFunction, paramMappings: ParamMapping[]) {\n const extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);\n\n function extractBatchNormParams(size: number, mappedPrefix: string): BatchNorm {\n const sub = tf.tensor1d(extractWeights(size));\n const truediv = tf.tensor1d(extractWeights(size));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/sub` },\n { paramPath: `${mappedPrefix}/truediv` },\n );\n return { sub, truediv };\n }\n\n function extractConvWithBatchNormParams(channelsIn: number, channelsOut: number, mappedPrefix: string): ConvWithBatchNorm {\n const conv = extractConvParams(channelsIn, channelsOut, 3, `${mappedPrefix}/conv`);\n const bn = extractBatchNormParams(channelsOut, `${mappedPrefix}/bn`);\n return { conv, bn };\n }\n const extractSeparableConvParams = extractSeparableConvParamsFactory(extractWeights, paramMappings);\n\n return {\n extractConvParams,\n extractConvWithBatchNormParams,\n extractSeparableConvParams,\n };\n}\n\nexport function extractParams(\n weights: Float32Array,\n config: TinyYolov2Config,\n boxEncodingSize: number,\n filterSizes: number[],\n): { params: TinyYolov2NetParams, paramMappings: ParamMapping[] } {\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n\n const paramMappings: ParamMapping[] = [];\n const {\n extractConvParams,\n extractConvWithBatchNormParams,\n extractSeparableConvParams,\n } = extractorsFactory(extractWeights, paramMappings);\n let params: TinyYolov2NetParams;\n\n if (config.withSeparableConvs) {\n const [s0, s1, s2, s3, s4, s5, s6, s7, s8] = filterSizes;\n const conv0 = config.isFirstLayerConv2d\n ? extractConvParams(s0, s1, 3, 'conv0')\n : extractSeparableConvParams(s0, s1, 'conv0');\n const conv1 = extractSeparableConvParams(s1, s2, 'conv1');\n const conv2 = extractSeparableConvParams(s2, s3, 'conv2');\n const conv3 = extractSeparableConvParams(s3, s4, 'conv3');\n const conv4 = extractSeparableConvParams(s4, s5, 'conv4');\n const conv5 = extractSeparableConvParams(s5, s6, 'conv5');\n const conv6 = s7 ? extractSeparableConvParams(s6, s7, 'conv6') : undefined;\n const conv7 = s8 ? extractSeparableConvParams(s7, s8, 'conv7') : undefined;\n const conv8 = extractConvParams(s8 || s7 || s6, 5 * boxEncodingSize, 1, 'conv8');\n params = {\n conv0, conv1, conv2, conv3, conv4, conv5, conv6, conv7, conv8,\n };\n } else {\n const [s0, s1, s2, s3, s4, s5, s6, s7, s8] = filterSizes;\n const conv0 = extractConvWithBatchNormParams(s0, s1, 'conv0');\n const conv1 = extractConvWithBatchNormParams(s1, s2, 'conv1');\n const conv2 = extractConvWithBatchNormParams(s2, s3, 'conv2');\n const conv3 = extractConvWithBatchNormParams(s3, s4, 'conv3');\n const conv4 = extractConvWithBatchNormParams(s4, s5, 'conv4');\n const conv5 = extractConvWithBatchNormParams(s5, s6, 'conv5');\n const conv6 = extractConvWithBatchNormParams(s6, s7, 'conv6');\n const conv7 = extractConvWithBatchNormParams(s7, s8, 'conv7');\n const conv8 = extractConvParams(s8, 5 * boxEncodingSize, 1, 'conv8');\n params = {\n conv0, conv1, conv2, conv3, conv4, conv5, conv6, conv7, conv8,\n };\n }\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n return { params, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams } from '../common/index';\nimport { disposeUnusedWeightTensors } from '../common/disposeUnusedWeightTensors';\nimport { loadSeparableConvParamsFactory } from '../common/extractSeparableConvParamsFactory';\nimport { extractWeightEntryFactory } from '../common/extractWeightEntryFactory';\nimport { ParamMapping } from '../common/types';\nimport { TinyYolov2Config } from './config';\nimport { BatchNorm, ConvWithBatchNorm, TinyYolov2NetParams } from './types';\n\nfunction extractorsFactory(weightMap: any, paramMappings: ParamMapping[]) {\n const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);\n\n function extractBatchNormParams(prefix: string): BatchNorm {\n const sub = extractWeightEntry(`${prefix}/sub`, 1);\n const truediv = extractWeightEntry(`${prefix}/truediv`, 1);\n return { sub, truediv };\n }\n\n function extractConvParams(prefix: string): ConvParams {\n const filters = extractWeightEntry(`${prefix}/filters`, 4);\n const bias = extractWeightEntry(`${prefix}/bias`, 1);\n return { filters, bias };\n }\n\n function extractConvWithBatchNormParams(prefix: string): ConvWithBatchNorm {\n const conv = extractConvParams(`${prefix}/conv`);\n const bn = extractBatchNormParams(`${prefix}/bn`);\n return { conv, bn };\n }\n\n const extractSeparableConvParams = loadSeparableConvParamsFactory(extractWeightEntry);\n return {\n extractConvParams,\n extractConvWithBatchNormParams,\n extractSeparableConvParams,\n };\n}\n\nexport function extractParamsFromWeightMap(\n weightMap: tf.NamedTensorMap,\n config: TinyYolov2Config,\n): { params: TinyYolov2NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractConvParams,\n extractConvWithBatchNormParams,\n extractSeparableConvParams,\n } = extractorsFactory(weightMap, paramMappings);\n\n let params: TinyYolov2NetParams;\n\n if (config.withSeparableConvs) {\n // eslint-disable-next-line no-mixed-operators\n const numFilters = (config.filterSizes && config.filterSizes.length || 9);\n params = {\n conv0: config.isFirstLayerConv2d ? extractConvParams('conv0') : extractSeparableConvParams('conv0'),\n conv1: extractSeparableConvParams('conv1'),\n conv2: extractSeparableConvParams('conv2'),\n conv3: extractSeparableConvParams('conv3'),\n conv4: extractSeparableConvParams('conv4'),\n conv5: extractSeparableConvParams('conv5'),\n conv6: numFilters > 7 ? extractSeparableConvParams('conv6') : undefined,\n conv7: numFilters > 8 ? extractSeparableConvParams('conv7') : undefined,\n conv8: extractConvParams('conv8'),\n };\n } else {\n params = {\n conv0: extractConvWithBatchNormParams('conv0'),\n conv1: extractConvWithBatchNormParams('conv1'),\n conv2: extractConvWithBatchNormParams('conv2'),\n conv3: extractConvWithBatchNormParams('conv3'),\n conv4: extractConvWithBatchNormParams('conv4'),\n conv5: extractConvWithBatchNormParams('conv5'),\n conv6: extractConvWithBatchNormParams('conv6'),\n conv7: extractConvWithBatchNormParams('conv7'),\n conv8: extractConvParams('conv8'),\n };\n }\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n return { params, paramMappings };\n}\n", "export interface ITinyYolov2Options {\n inputSize?: number\n scoreThreshold?: number\n}\n\nexport class TinyYolov2Options {\n protected _name = 'TinyYolov2Options';\n\n private _inputSize: number;\n\n private _scoreThreshold: number;\n\n constructor({ inputSize, scoreThreshold }: ITinyYolov2Options = {}) {\n this._inputSize = inputSize || 416;\n this._scoreThreshold = scoreThreshold || 0.5;\n\n if (typeof this._inputSize !== 'number' || this._inputSize % 32 !== 0) {\n throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);\n }\n\n if (typeof this._scoreThreshold !== 'number' || this._scoreThreshold <= 0 || this._scoreThreshold >= 1) {\n throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`);\n }\n }\n\n get inputSize(): number { return this._inputSize; }\n\n get scoreThreshold(): number { return this._scoreThreshold; }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { BoundingBox } from '../classes/BoundingBox';\nimport { Dimensions } from '../classes/Dimensions';\nimport { ObjectDetection } from '../classes/ObjectDetection';\nimport { convLayer } from '../common/index';\nimport { ConvParams, SeparableConvParams } from '../common/types';\nimport { toNetInput } from '../dom/index';\nimport { NetInput } from '../dom/NetInput';\nimport { TNetInput } from '../dom/types';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { sigmoid } from '../ops/index';\nimport { nonMaxSuppression } from '../ops/nonMaxSuppression';\nimport { normalize } from '../ops/normalize';\nimport { TinyYolov2Config, validateConfig } from './config';\nimport { convWithBatchNorm } from './convWithBatchNorm';\nimport { depthwiseSeparableConv } from './depthwiseSeparableConv';\nimport { extractParams } from './extractParams';\nimport { extractParamsFromWeightMap } from './extractParamsFromWeightMap';\nimport { leaky } from './leaky';\nimport { ITinyYolov2Options, TinyYolov2Options } from './TinyYolov2Options';\nimport { DefaultTinyYolov2NetParams, MobilenetParams, TinyYolov2NetParams } from './types';\n\nexport class TinyYolov2Base extends NeuralNetwork {\n public static DEFAULT_FILTER_SIZES = [3, 16, 32, 64, 128, 256, 512, 1024, 1024];\n\n private _config: TinyYolov2Config;\n\n constructor(config: TinyYolov2Config) {\n super('TinyYolov2');\n validateConfig(config);\n this._config = config;\n }\n\n public get config(): TinyYolov2Config {\n return this._config;\n }\n\n public get withClassScores(): boolean {\n return this.config.withClassScores || this.config.classes.length > 1;\n }\n\n public get boxEncodingSize(): number {\n return 5 + (this.withClassScores ? this.config.classes.length : 0);\n }\n\n public runTinyYolov2(x: tf.Tensor4D, params: DefaultTinyYolov2NetParams): tf.Tensor4D {\n let out = convWithBatchNorm(x, params.conv0);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = convWithBatchNorm(out, params.conv1);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = convWithBatchNorm(out, params.conv2);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = convWithBatchNorm(out, params.conv3);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = convWithBatchNorm(out, params.conv4);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = convWithBatchNorm(out, params.conv5);\n out = tf.maxPool(out, [2, 2], [1, 1], 'same');\n out = convWithBatchNorm(out, params.conv6);\n out = convWithBatchNorm(out, params.conv7);\n return convLayer(out, params.conv8, 'valid', false);\n }\n\n public runMobilenet(x: tf.Tensor4D, params: MobilenetParams): tf.Tensor4D {\n let out = this.config.isFirstLayerConv2d\n ? leaky(convLayer(x, params.conv0 as ConvParams, 'valid', false))\n : depthwiseSeparableConv(x, params.conv0 as SeparableConvParams);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = depthwiseSeparableConv(out, params.conv1);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = depthwiseSeparableConv(out, params.conv2);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = depthwiseSeparableConv(out, params.conv3);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = depthwiseSeparableConv(out, params.conv4);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = depthwiseSeparableConv(out, params.conv5);\n out = tf.maxPool(out, [2, 2], [1, 1], 'same');\n out = params.conv6 ? depthwiseSeparableConv(out, params.conv6) : out;\n out = params.conv7 ? depthwiseSeparableConv(out, params.conv7) : out;\n return convLayer(out, params.conv8, 'valid', false);\n }\n\n public forwardInput(input: NetInput, inputSize: number): tf.Tensor4D {\n const { params } = this;\n\n if (!params) {\n throw new Error('TinyYolov2 - load model before inference');\n }\n\n return tf.tidy(() => {\n let batchTensor = tf.cast(input.toBatchTensor(inputSize, false), 'float32');\n batchTensor = this.config.meanRgb\n ? normalize(batchTensor, this.config.meanRgb)\n : batchTensor;\n batchTensor = batchTensor.div(255) as tf.Tensor4D;\n return this.config.withSeparableConvs\n ? this.runMobilenet(batchTensor, params as MobilenetParams)\n : this.runTinyYolov2(batchTensor, params as DefaultTinyYolov2NetParams);\n });\n }\n\n public async forward(input: TNetInput, inputSize: number): Promise {\n return this.forwardInput(await toNetInput(input), inputSize);\n }\n\n public async detect(input: TNetInput, forwardParams: ITinyYolov2Options = {}): Promise {\n const { inputSize, scoreThreshold } = new TinyYolov2Options(forwardParams);\n const netInput = await toNetInput(input);\n const out = await this.forwardInput(netInput, inputSize);\n const out0 = tf.tidy(() => tf.unstack(out)[0].expandDims()) as tf.Tensor4D;\n const inputDimensions = {\n width: netInput.getInputWidth(0),\n height: netInput.getInputHeight(0),\n };\n\n const results = await this.extractBoxes(out0, netInput.getReshapedInputDimensions(0), scoreThreshold);\n out.dispose();\n out0.dispose();\n\n const boxes = results.map((res) => res.box);\n const scores = results.map((res) => res.score);\n const classScores = results.map((res) => res.classScore);\n const classNames = results.map((res) => this.config.classes[res.label]);\n\n const indices = nonMaxSuppression(\n boxes.map((box) => box.rescale(inputSize)),\n scores,\n this.config.iouThreshold,\n true,\n );\n\n const detections = indices.map((idx) => new ObjectDetection(\n scores[idx],\n classScores[idx],\n classNames[idx],\n boxes[idx],\n inputDimensions,\n ));\n return detections;\n }\n\n protected getDefaultModelName(): string {\n return '';\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n return extractParamsFromWeightMap(weightMap, this.config);\n }\n\n protected extractParams(weights: Float32Array) {\n const filterSizes = this.config.filterSizes || TinyYolov2Base.DEFAULT_FILTER_SIZES;\n\n const numFilters = filterSizes ? filterSizes.length : undefined;\n if (numFilters !== 7 && numFilters !== 8 && numFilters !== 9) {\n throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${numFilters} filterSizes in config`);\n }\n return extractParams(weights, this.config, this.boxEncodingSize, filterSizes);\n }\n\n protected async extractBoxes(\n outputTensor: tf.Tensor4D,\n inputBlobDimensions: Dimensions,\n scoreThreshold?: number,\n ) {\n const { width, height } = inputBlobDimensions;\n const inputSize = Math.max(width, height);\n const correctionFactorX = inputSize / width;\n const correctionFactorY = inputSize / height;\n\n const numCells = outputTensor.shape[1];\n const numBoxes = this.config.anchors.length;\n\n const [boxesTensor, scoresTensor, classScoresTensor] = tf.tidy(() => {\n const reshaped = outputTensor.reshape([numCells, numCells, numBoxes, this.boxEncodingSize]);\n\n const boxes = reshaped.slice([0, 0, 0, 0], [numCells, numCells, numBoxes, 4]);\n const scores = reshaped.slice([0, 0, 0, 4], [numCells, numCells, numBoxes, 1]);\n const classScores = this.withClassScores\n ? tf.softmax(reshaped.slice([0, 0, 0, 5], [numCells, numCells, numBoxes, this.config.classes.length]), 3)\n : tf.scalar(0);\n return [boxes, scores, classScores];\n });\n\n const results = [] as any;\n const scoresData = await scoresTensor.array();\n const boxesData = await boxesTensor.array();\n for (let row = 0; row < numCells; row++) {\n for (let col = 0; col < numCells; col++) {\n for (let anchor = 0; anchor < numBoxes; anchor++) {\n const score = sigmoid(scoresData[row][col][anchor][0]);\n if (!scoreThreshold || score > scoreThreshold) {\n const ctX = ((col + sigmoid(boxesData[row][col][anchor][0])) / numCells) * correctionFactorX;\n const ctY = ((row + sigmoid(boxesData[row][col][anchor][1])) / numCells) * correctionFactorY;\n const widthLocal = ((Math.exp(boxesData[row][col][anchor][2]) * this.config.anchors[anchor].x) / numCells) * correctionFactorX;\n const heightLocal = ((Math.exp(boxesData[row][col][anchor][3]) * this.config.anchors[anchor].y) / numCells) * correctionFactorY;\n const x = (ctX - (widthLocal / 2));\n const y = (ctY - (heightLocal / 2));\n const pos = { row, col, anchor };\n const { classScore, label } = this.withClassScores\n ? await this.extractPredictedClass(classScoresTensor as tf.Tensor4D, pos)\n : { classScore: 1, label: 0 };\n results.push({\n box: new BoundingBox(x, y, x + widthLocal, y + heightLocal),\n score,\n classScore: score * classScore,\n label,\n ...pos,\n });\n }\n }\n }\n }\n\n boxesTensor.dispose();\n scoresTensor.dispose();\n classScoresTensor.dispose();\n return results;\n }\n\n private async extractPredictedClass(classesTensor: tf.Tensor4D, pos: { row: number, col: number, anchor: number }) {\n const { row, col, anchor } = pos;\n const classesData = await classesTensor.array();\n return Array(this.config.classes.length).fill(0)\n .map((_, i) => classesData[row][col][anchor][i])\n .map((classScore, label) => ({\n classScore,\n label,\n }))\n .reduce((max, curr) => (max.classScore > curr.classScore ? max : curr));\n }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { FaceDetection, Point } from '../classes/index';\nimport { ParamMapping } from '../common/types';\nimport { TNetInput } from '../dom/types';\nimport {\n BOX_ANCHORS,\n BOX_ANCHORS_SEPARABLE,\n DEFAULT_MODEL_NAME,\n DEFAULT_MODEL_NAME_SEPARABLE_CONV,\n IOU_THRESHOLD,\n MEAN_RGB_SEPARABLE,\n} from './const';\nimport { TinyYolov2Base } from './TinyYolov2Base';\nimport { ITinyYolov2Options } from './TinyYolov2Options';\nimport { TinyYolov2NetParams } from './types';\n\nexport class TinyYolov2 extends TinyYolov2Base {\n constructor(withSeparableConvs = true) {\n const config = {\n withSeparableConvs,\n iouThreshold: IOU_THRESHOLD,\n classes: ['face'],\n ...(withSeparableConvs\n ? {\n anchors: BOX_ANCHORS_SEPARABLE,\n meanRgb: MEAN_RGB_SEPARABLE,\n }\n : {\n anchors: BOX_ANCHORS,\n withClassScores: true,\n }),\n };\n\n super(config);\n }\n\n public get withSeparableConvs(): boolean {\n return this.config.withSeparableConvs;\n }\n\n public get anchors(): Point[] {\n return this.config.anchors;\n }\n\n public async locateFaces(input: TNetInput, forwardParams: ITinyYolov2Options): Promise {\n const objectDetections = await this.detect(input, forwardParams);\n return objectDetections.map((det) => new FaceDetection(det.score, det.relativeBox, { width: det.imageWidth, height: det.imageHeight }));\n }\n\n protected override getDefaultModelName(): string {\n return this.withSeparableConvs ? DEFAULT_MODEL_NAME_SEPARABLE_CONV : DEFAULT_MODEL_NAME;\n }\n\n protected override extractParamsFromWeightMap(weightMap: tf.NamedTensorMap): { params: TinyYolov2NetParams, paramMappings: ParamMapping[] } {\n return super.extractParamsFromWeightMap(weightMap);\n }\n}\n", "import { TinyYolov2 } from './TinyYolov2';\n\nexport * from './TinyYolov2Options';\nexport * from './config';\nexport * from './types';\nexport { TinyYolov2 };\n\nexport function createTinyYolov2(weights: Float32Array, withSeparableConvs = true) {\n const net = new TinyYolov2(withSeparableConvs);\n net.extractWeights(weights);\n return net;\n}\n", "import { ITinyYolov2Options, TinyYolov2Options } from '../tinyYolov2/index';\n\nexport type ITinyFaceDetectorOptions = ITinyYolov2Options\n\nexport class TinyFaceDetectorOptions extends TinyYolov2Options {\n protected override _name = 'TinyFaceDetectorOptions';\n}\n", "export class ComposableTask {\n // eslint-disable-next-line no-unused-vars\n public async then(onfulfilled: (value: T) => T | PromiseLike): Promise {\n return onfulfilled(await this.run());\n }\n\n public async run(): Promise {\n throw new Error('ComposableTask - run is not implemented');\n }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { FaceDetection } from '../classes/FaceDetection';\nimport { extractFaces, extractFaceTensors, TNetInput } from '../dom/index';\nimport { WithFaceDetection } from '../factories/WithFaceDetection';\nimport { isWithFaceLandmarks, WithFaceLandmarks } from '../factories/WithFaceLandmarks';\n\nexport async function extractAllFacesAndComputeResults, TResult>(\n parentResults: TSource[],\n input: TNetInput,\n // eslint-disable-next-line no-unused-vars\n computeResults: (faces: Array) => Promise,\n extractedFaces?: Array | null,\n // eslint-disable-next-line no-unused-vars\n getRectForAlignment: (parentResult: WithFaceLandmarks) => FaceDetection = ({ alignedRect }) => alignedRect,\n) {\n const faceBoxes = parentResults.map((parentResult) => (isWithFaceLandmarks(parentResult)\n ? getRectForAlignment(parentResult)\n : parentResult.detection));\n const faces: Array = extractedFaces || (\n input instanceof tf.Tensor\n ? await extractFaceTensors(input, faceBoxes)\n : await extractFaces(input, faceBoxes)\n );\n const results = await computeResults(faces);\n faces.forEach((f) => f instanceof tf.Tensor && f.dispose());\n return results;\n}\n\nexport async function extractSingleFaceAndComputeResult, TResult>(\n parentResult: TSource,\n input: TNetInput,\n // eslint-disable-next-line no-unused-vars\n computeResult: (face: HTMLCanvasElement | tf.Tensor3D) => Promise,\n extractedFaces?: Array | null,\n // eslint-disable-next-line no-unused-vars\n getRectForAlignment?: (parentResultLocal: WithFaceLandmarks) => FaceDetection,\n) {\n return extractAllFacesAndComputeResults(\n [parentResult],\n input,\n async (faces) => computeResult(faces[0]),\n extractedFaces,\n getRectForAlignment,\n );\n}\n", "import { Point } from '../classes/index';\n\nexport const IOU_THRESHOLD = 0.4;\n\nexport const BOX_ANCHORS = [\n new Point(1.603231, 2.094468),\n new Point(6.041143, 7.080126),\n new Point(2.882459, 3.518061),\n new Point(4.266906, 5.178857),\n new Point(9.041765, 10.66308),\n];\n\nexport const MEAN_RGB: [number, number, number] = [117.001, 114.697, 97.404];\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { FaceDetection, Point } from '../classes/index';\nimport { ParamMapping } from '../common/index';\nimport { TNetInput } from '../dom/index';\nimport { ITinyYolov2Options } from '../tinyYolov2/index';\nimport { TinyYolov2Base } from '../tinyYolov2/TinyYolov2Base';\nimport { TinyYolov2NetParams } from '../tinyYolov2/types';\nimport { BOX_ANCHORS, IOU_THRESHOLD, MEAN_RGB } from './const';\n\nexport class TinyFaceDetector extends TinyYolov2Base {\n constructor() {\n const config = {\n withSeparableConvs: true,\n iouThreshold: IOU_THRESHOLD,\n classes: ['face'],\n anchors: BOX_ANCHORS,\n meanRgb: MEAN_RGB,\n isFirstLayerConv2d: true,\n filterSizes: [3, 16, 32, 64, 128, 256, 512],\n };\n\n super(config);\n }\n\n public get anchors(): Point[] {\n return this.config.anchors;\n }\n\n public async locateFaces(input: TNetInput, forwardParams: ITinyYolov2Options): Promise {\n const objectDetections = await this.detect(input, forwardParams);\n return objectDetections.map((det) => new FaceDetection(det.score, det.relativeBox, { width: det.imageWidth, height: det.imageHeight }));\n }\n\n protected override getDefaultModelName(): string {\n return 'tiny_face_detector_model';\n }\n\n protected override extractParamsFromWeightMap(weightMap: tf.NamedTensorMap): { params: TinyYolov2NetParams, paramMappings: ParamMapping[] } {\n return super.extractParamsFromWeightMap(weightMap);\n }\n}\n", "import { AgeGenderNet } from '../ageGenderNet/AgeGenderNet';\nimport { AgeAndGenderPrediction } from '../ageGenderNet/types';\nimport { FaceDetection } from '../classes/FaceDetection';\nimport { FaceLandmarks68 } from '../classes/FaceLandmarks68';\nimport { TNetInput } from '../dom/index';\nimport { FaceExpressionNet } from '../faceExpressionNet/FaceExpressionNet';\nimport { FaceExpressions } from '../faceExpressionNet/FaceExpressions';\nimport { FaceLandmark68Net } from '../faceLandmarkNet/FaceLandmark68Net';\nimport { FaceLandmark68TinyNet } from '../faceLandmarkNet/FaceLandmark68TinyNet';\nimport { FaceRecognitionNet } from '../faceRecognitionNet/FaceRecognitionNet';\nimport { SsdMobilenetv1 } from '../ssdMobilenetv1/SsdMobilenetv1';\nimport { SsdMobilenetv1Options } from '../ssdMobilenetv1/SsdMobilenetv1Options';\nimport { TinyFaceDetector } from '../tinyFaceDetector/TinyFaceDetector';\nimport { TinyFaceDetectorOptions } from '../tinyFaceDetector/TinyFaceDetectorOptions';\nimport { ITinyYolov2Options, TinyYolov2 } from '../tinyYolov2/index';\n\nexport const nets = {\n ssdMobilenetv1: new SsdMobilenetv1(),\n tinyFaceDetector: new TinyFaceDetector(),\n tinyYolov2: new TinyYolov2(),\n faceLandmark68Net: new FaceLandmark68Net(),\n faceLandmark68TinyNet: new FaceLandmark68TinyNet(),\n faceRecognitionNet: new FaceRecognitionNet(),\n faceExpressionNet: new FaceExpressionNet(),\n ageGenderNet: new AgeGenderNet(),\n};\n\n/**\n * Attempts to detect all faces in an image using SSD Mobilenetv1 Network.\n *\n * @param input The input image.\n * @param options (optional, default: see SsdMobilenetv1Options constructor for default parameters).\n * @returns Bounding box of each face with score.\n */\nexport const ssdMobilenetv1 = (input: TNetInput, options: SsdMobilenetv1Options): Promise => nets.ssdMobilenetv1.locateFaces(input, options);\n\n/**\n * Attempts to detect all faces in an image using the Tiny Face Detector.\n *\n * @param input The input image.\n * @param options (optional, default: see TinyFaceDetectorOptions constructor for default parameters).\n * @returns Bounding box of each face with score.\n */\nexport const tinyFaceDetector = (input: TNetInput, options: TinyFaceDetectorOptions): Promise => nets.tinyFaceDetector.locateFaces(input, options);\n\n/**\n * Attempts to detect all faces in an image using the Tiny Yolov2 Network.\n *\n * @param input The input image.\n * @param options (optional, default: see TinyYolov2Options constructor for default parameters).\n * @returns Bounding box of each face with score.\n */\nexport const tinyYolov2 = (input: TNetInput, options: ITinyYolov2Options): Promise => nets.tinyYolov2.locateFaces(input, options);\n\n/**\n * Detects the 68 point face landmark positions of the face shown in an image.\n *\n * @param inputs The face image extracted from the bounding box of a face. Can\n * also be an array of input images, which will be batch processed.\n * @returns 68 point face landmarks or array thereof in case of batch input.\n */\nexport const detectFaceLandmarks = (input: TNetInput): Promise => nets.faceLandmark68Net.detectLandmarks(input);\n\n/**\n * Detects the 68 point face landmark positions of the face shown in an image\n * using a tinier version of the 68 point face landmark model, which is slightly\n * faster at inference, but also slightly less accurate.\n *\n * @param inputs The face image extracted from the bounding box of a face. Can\n * also be an array of input images, which will be batch processed.\n * @returns 68 point face landmarks or array thereof in case of batch input.\n */\nexport const detectFaceLandmarksTiny = (input: TNetInput): Promise => nets.faceLandmark68TinyNet.detectLandmarks(input);\n\n/**\n * Computes a 128 entry vector (face descriptor / face embeddings) from the face shown in an image,\n * which uniquely represents the features of that persons face. The computed face descriptor can\n * be used to measure the similarity between faces, by computing the euclidean distance of two\n * face descriptors.\n *\n * @param inputs The face image extracted from the aligned bounding box of a face. Can\n * also be an array of input images, which will be batch processed.\n * @returns Face descriptor with 128 entries or array thereof in case of batch input.\n */\nexport const computeFaceDescriptor = (input: TNetInput): Promise => nets.faceRecognitionNet.computeFaceDescriptor(input);\n\n/**\n * Recognizes the facial expressions from a face image.\n *\n * @param inputs The face image extracted from the bounding box of a face. Can\n * also be an array of input images, which will be batch processed.\n * @returns Facial expressions with corresponding probabilities or array thereof in case of batch input.\n */\nexport const recognizeFaceExpressions = (input: TNetInput): Promise => nets.faceExpressionNet.predictExpressions(input);\n\n/**\n * Predicts age and gender from a face image.\n *\n * @param inputs The face image extracted from the bounding box of a face. Can\n * also be an array of input images, which will be batch processed.\n * @returns Predictions with age, gender and gender probability or array thereof in case of batch input.\n */\nexport const predictAgeAndGender = (input: TNetInput): Promise => nets.ageGenderNet.predictAgeAndGender(input);\n\nexport const loadSsdMobilenetv1Model = (url: string) => nets.ssdMobilenetv1.load(url);\nexport const loadTinyFaceDetectorModel = (url: string) => nets.tinyFaceDetector.load(url);\nexport const loadTinyYolov2Model = (url: string) => nets.tinyYolov2.load(url);\nexport const loadFaceLandmarkModel = (url: string) => nets.faceLandmark68Net.load(url);\nexport const loadFaceLandmarkTinyModel = (url: string) => nets.faceLandmark68TinyNet.load(url);\nexport const loadFaceRecognitionModel = (url: string) => nets.faceRecognitionNet.load(url);\nexport const loadFaceExpressionModel = (url: string) => nets.faceExpressionNet.load(url);\nexport const loadAgeGenderModel = (url: string) => nets.ageGenderNet.load(url);\n\n// backward compatibility\nexport const loadFaceDetectionModel = loadSsdMobilenetv1Model;\nexport const locateFaces = ssdMobilenetv1;\nexport const detectLandmarks = detectFaceLandmarks;\n", "/* eslint-disable max-classes-per-file */\nimport * as tf from '../../dist/tfjs.esm';\n\nimport { TNetInput } from '../dom/index';\nimport { FaceExpressions } from '../faceExpressionNet/FaceExpressions';\nimport { WithFaceDetection } from '../factories/WithFaceDetection';\nimport { extendWithFaceExpressions, WithFaceExpressions } from '../factories/WithFaceExpressions';\nimport { WithFaceLandmarks } from '../factories/WithFaceLandmarks';\nimport { ComposableTask } from './ComposableTask';\nimport { ComputeAllFaceDescriptorsTask, ComputeSingleFaceDescriptorTask } from './ComputeFaceDescriptorsTasks';\nimport { extractAllFacesAndComputeResults, extractSingleFaceAndComputeResult } from './extractFacesAndComputeResults';\nimport { nets } from './nets';\nimport { PredictAllAgeAndGenderTask, PredictAllAgeAndGenderWithFaceAlignmentTask, PredictSingleAgeAndGenderTask, PredictSingleAgeAndGenderWithFaceAlignmentTask } from './PredictAgeAndGenderTask';\n\nexport class PredictFaceExpressionsTaskBase extends ComposableTask {\n constructor(\n // eslint-disable-next-line no-unused-vars\n protected parentTask: ComposableTask | Promise,\n // eslint-disable-next-line no-unused-vars\n protected input: TNetInput,\n // eslint-disable-next-line no-unused-vars\n protected extractedFaces?: Array,\n ) {\n super();\n }\n}\n\nexport class PredictAllFaceExpressionsTask> extends PredictFaceExpressionsTaskBase[], TSource[]> {\n public override async run(): Promise[]> {\n const parentResults = await this.parentTask;\n\n const faceExpressionsByFace = await extractAllFacesAndComputeResults(\n parentResults,\n this.input,\n async (faces) => Promise.all(\n faces.map((face) => nets.faceExpressionNet.predictExpressions(face) as Promise),\n ),\n this.extractedFaces,\n );\n\n return parentResults.map(\n (parentResult, i) => extendWithFaceExpressions(parentResult, faceExpressionsByFace[i]),\n );\n }\n\n withAgeAndGender() {\n return new PredictAllAgeAndGenderTask(this, this.input);\n }\n}\n\nexport class PredictSingleFaceExpressionsTask> extends PredictFaceExpressionsTaskBase | undefined, TSource | undefined> {\n public override async run(): Promise | undefined> {\n const parentResult = await this.parentTask;\n if (!parentResult) {\n return undefined;\n }\n\n const faceExpressions = await extractSingleFaceAndComputeResult(\n parentResult,\n this.input,\n (face) => nets.faceExpressionNet.predictExpressions(face) as Promise,\n this.extractedFaces,\n );\n\n return extendWithFaceExpressions(parentResult, faceExpressions);\n }\n\n withAgeAndGender() {\n return new PredictSingleAgeAndGenderTask(this, this.input);\n }\n}\n\nexport class PredictAllFaceExpressionsWithFaceAlignmentTask>> extends PredictAllFaceExpressionsTask {\n override withAgeAndGender() {\n return new PredictAllAgeAndGenderWithFaceAlignmentTask(this, this.input);\n }\n\n withFaceDescriptors() {\n return new ComputeAllFaceDescriptorsTask(this, this.input);\n }\n}\n\nexport class PredictSingleFaceExpressionsWithFaceAlignmentTask>> extends PredictSingleFaceExpressionsTask {\n override withAgeAndGender() {\n return new PredictSingleAgeAndGenderWithFaceAlignmentTask(this, this.input);\n }\n\n withFaceDescriptor() {\n return new ComputeSingleFaceDescriptorTask(this, this.input);\n }\n}\n", "/* eslint-disable max-classes-per-file */\nimport * as tf from '../../dist/tfjs.esm';\n\nimport { AgeAndGenderPrediction } from '../ageGenderNet/types';\nimport { TNetInput } from '../dom/index';\nimport { extendWithAge, WithAge } from '../factories/WithAge';\nimport { WithFaceDetection } from '../factories/WithFaceDetection';\nimport { WithFaceLandmarks } from '../factories/WithFaceLandmarks';\nimport { extendWithGender, WithGender } from '../factories/WithGender';\nimport { ComposableTask } from './ComposableTask';\nimport { ComputeAllFaceDescriptorsTask, ComputeSingleFaceDescriptorTask } from './ComputeFaceDescriptorsTasks';\nimport { extractAllFacesAndComputeResults, extractSingleFaceAndComputeResult } from './extractFacesAndComputeResults';\nimport { nets } from './nets';\nimport { PredictAllFaceExpressionsTask, PredictAllFaceExpressionsWithFaceAlignmentTask, PredictSingleFaceExpressionsTask, PredictSingleFaceExpressionsWithFaceAlignmentTask } from './PredictFaceExpressionsTask';\n\nexport class PredictAgeAndGenderTaskBase extends ComposableTask {\n constructor(\n // eslint-disable-next-line no-unused-vars\n protected parentTask: ComposableTask | Promise,\n // eslint-disable-next-line no-unused-vars\n protected input: TNetInput,\n // eslint-disable-next-line no-unused-vars\n protected extractedFaces?: Array,\n ) {\n super();\n }\n}\n\nexport class PredictAllAgeAndGenderTask> extends PredictAgeAndGenderTaskBase>[], TSource[]> {\n public override async run(): Promise>[]> {\n const parentResults = await this.parentTask;\n const ageAndGenderByFace = await extractAllFacesAndComputeResults(\n parentResults,\n this.input,\n async (faces) => Promise.all(faces.map((face) => nets.ageGenderNet.predictAgeAndGender(face) as Promise)),\n this.extractedFaces,\n );\n return parentResults.map((parentResult, i) => {\n const { age, gender, genderProbability } = ageAndGenderByFace[i];\n return extendWithAge(extendWithGender(parentResult, gender, genderProbability), age);\n });\n }\n\n withFaceExpressions() {\n return new PredictAllFaceExpressionsTask(this, this.input);\n }\n}\n\nexport class PredictSingleAgeAndGenderTask> extends PredictAgeAndGenderTaskBase> | undefined, TSource | undefined> {\n public override async run(): Promise> | undefined> {\n const parentResult = await this.parentTask;\n if (!parentResult) return undefined;\n const { age, gender, genderProbability } = await extractSingleFaceAndComputeResult(\n parentResult,\n this.input,\n (face) => nets.ageGenderNet.predictAgeAndGender(face) as Promise,\n this.extractedFaces,\n );\n return extendWithAge(extendWithGender(parentResult, gender, genderProbability), age);\n }\n\n withFaceExpressions() {\n return new PredictSingleFaceExpressionsTask(this, this.input);\n }\n}\n\nexport class PredictAllAgeAndGenderWithFaceAlignmentTask>> extends PredictAllAgeAndGenderTask {\n override withFaceExpressions() {\n return new PredictAllFaceExpressionsWithFaceAlignmentTask(this, this.input);\n }\n\n withFaceDescriptors() {\n return new ComputeAllFaceDescriptorsTask(this, this.input);\n }\n}\n\nexport class PredictSingleAgeAndGenderWithFaceAlignmentTask>> extends PredictSingleAgeAndGenderTask {\n override withFaceExpressions() {\n return new PredictSingleFaceExpressionsWithFaceAlignmentTask(this, this.input);\n }\n\n withFaceDescriptor() {\n return new ComputeSingleFaceDescriptorTask(this, this.input);\n }\n}\n", "/* eslint-disable max-classes-per-file */\nimport { TNetInput } from '../dom/index';\nimport { extendWithFaceDescriptor, WithFaceDescriptor } from '../factories/WithFaceDescriptor';\nimport { WithFaceDetection } from '../factories/WithFaceDetection';\nimport { WithFaceLandmarks } from '../factories/WithFaceLandmarks';\nimport { ComposableTask } from './ComposableTask';\nimport { extractAllFacesAndComputeResults, extractSingleFaceAndComputeResult } from './extractFacesAndComputeResults';\nimport { nets } from './nets';\nimport { PredictAllAgeAndGenderWithFaceAlignmentTask, PredictSingleAgeAndGenderWithFaceAlignmentTask } from './PredictAgeAndGenderTask';\nimport { PredictAllFaceExpressionsWithFaceAlignmentTask, PredictSingleFaceExpressionsWithFaceAlignmentTask } from './PredictFaceExpressionsTask';\n\nexport class ComputeFaceDescriptorsTaskBase extends ComposableTask {\n constructor(\n // eslint-disable-next-line no-unused-vars\n protected parentTask: ComposableTask | Promise,\n // eslint-disable-next-line no-unused-vars\n protected input: TNetInput,\n ) {\n super();\n }\n}\n\nexport class ComputeAllFaceDescriptorsTask>> extends ComputeFaceDescriptorsTaskBase[], TSource[]> {\n public override async run(): Promise[]> {\n const parentResults = await this.parentTask;\n const descriptors = await extractAllFacesAndComputeResults(\n parentResults,\n this.input,\n (faces) => Promise.all(faces.map((face) => nets.faceRecognitionNet.computeFaceDescriptor(face) as Promise)),\n null,\n (parentResult) => parentResult.landmarks.align(null, { useDlibAlignment: true }),\n );\n return descriptors.map((descriptor, i) => extendWithFaceDescriptor(parentResults[i], descriptor));\n }\n\n withFaceExpressions() {\n return new PredictAllFaceExpressionsWithFaceAlignmentTask(this, this.input);\n }\n\n withAgeAndGender() {\n return new PredictAllAgeAndGenderWithFaceAlignmentTask(this, this.input);\n }\n}\n\nexport class ComputeSingleFaceDescriptorTask>> extends ComputeFaceDescriptorsTaskBase | undefined, TSource | undefined> {\n public override async run(): Promise | undefined> {\n const parentResult = await this.parentTask;\n if (!parentResult) return undefined;\n const descriptor = await extractSingleFaceAndComputeResult(\n parentResult,\n this.input,\n (face) => nets.faceRecognitionNet.computeFaceDescriptor(face) as Promise,\n null,\n // eslint-disable-next-line no-shadow, @typescript-eslint/no-shadow\n (parentResult) => parentResult.landmarks.align(null, { useDlibAlignment: true }),\n );\n return extendWithFaceDescriptor(parentResult, descriptor);\n }\n\n withFaceExpressions() {\n return new PredictSingleFaceExpressionsWithFaceAlignmentTask(this, this.input);\n }\n\n withAgeAndGender() {\n return new PredictSingleAgeAndGenderWithFaceAlignmentTask(this, this.input);\n }\n}\n", "/* eslint-disable max-classes-per-file */\nimport * as tf from '../../dist/tfjs.esm';\n\nimport { FaceLandmarks68 } from '../classes/FaceLandmarks68';\nimport { extractFaces, extractFaceTensors, TNetInput } from '../dom/index';\nimport { FaceLandmark68Net } from '../faceLandmarkNet/FaceLandmark68Net';\nimport { FaceLandmark68TinyNet } from '../faceLandmarkNet/FaceLandmark68TinyNet';\nimport { WithFaceDetection } from '../factories/WithFaceDetection';\nimport { extendWithFaceLandmarks, WithFaceLandmarks } from '../factories/WithFaceLandmarks';\nimport { ComposableTask } from './ComposableTask';\nimport { ComputeAllFaceDescriptorsTask, ComputeSingleFaceDescriptorTask } from './ComputeFaceDescriptorsTasks';\nimport { nets } from './nets';\nimport { PredictAllAgeAndGenderWithFaceAlignmentTask, PredictSingleAgeAndGenderWithFaceAlignmentTask } from './PredictAgeAndGenderTask';\nimport { PredictAllFaceExpressionsWithFaceAlignmentTask, PredictSingleFaceExpressionsWithFaceAlignmentTask } from './PredictFaceExpressionsTask';\n\nexport class DetectFaceLandmarksTaskBase extends ComposableTask {\n constructor(\n // eslint-disable-next-line no-unused-vars\n protected parentTask: ComposableTask | Promise,\n // eslint-disable-next-line no-unused-vars\n protected input: TNetInput,\n // eslint-disable-next-line no-unused-vars\n protected useTinyLandmarkNet: boolean,\n ) {\n super();\n }\n\n protected get landmarkNet(): FaceLandmark68Net | FaceLandmark68TinyNet {\n return this.useTinyLandmarkNet\n ? nets.faceLandmark68TinyNet\n : nets.faceLandmark68Net;\n }\n}\n\nexport class DetectAllFaceLandmarksTask> extends DetectFaceLandmarksTaskBase[], TSource[]> {\n public override async run(): Promise[]> {\n const parentResults = await this.parentTask;\n const detections = parentResults.map((res) => res.detection);\n const faces: Array = this.input instanceof tf.Tensor\n ? await extractFaceTensors(this.input, detections)\n : await extractFaces(this.input, detections);\n const faceLandmarksByFace = await Promise.all(faces.map((face) => this.landmarkNet.detectLandmarks(face))) as FaceLandmarks68[];\n faces.forEach((f) => f instanceof tf.Tensor && f.dispose());\n const result = parentResults\n .filter((_parentResult, i) => faceLandmarksByFace[i])\n .map((parentResult, i) => extendWithFaceLandmarks(parentResult, faceLandmarksByFace[i]));\n return result;\n }\n\n withFaceExpressions() {\n return new PredictAllFaceExpressionsWithFaceAlignmentTask(this, this.input);\n }\n\n withAgeAndGender() {\n return new PredictAllAgeAndGenderWithFaceAlignmentTask(this, this.input);\n }\n\n withFaceDescriptors() {\n return new ComputeAllFaceDescriptorsTask(this, this.input);\n }\n}\n\nexport class DetectSingleFaceLandmarksTask> extends DetectFaceLandmarksTaskBase | undefined, TSource | undefined> {\n public override async run(): Promise | undefined> {\n const parentResult = await this.parentTask;\n if (!parentResult) {\n return undefined;\n }\n const { detection } = parentResult;\n const faces: Array = this.input instanceof tf.Tensor\n ? await extractFaceTensors(this.input, [detection])\n : await extractFaces(this.input, [detection]);\n const landmarks = await this.landmarkNet.detectLandmarks(faces[0]) as FaceLandmarks68;\n faces.forEach((f) => f instanceof tf.Tensor && f.dispose());\n return extendWithFaceLandmarks(parentResult, landmarks);\n }\n\n withFaceExpressions() {\n return new PredictSingleFaceExpressionsWithFaceAlignmentTask(this, this.input);\n }\n\n withAgeAndGender() {\n return new PredictSingleAgeAndGenderWithFaceAlignmentTask(this, this.input);\n }\n\n withFaceDescriptor() {\n return new ComputeSingleFaceDescriptorTask(this, this.input);\n }\n}\n", "/* eslint-disable max-classes-per-file */\nimport { FaceDetection } from '../classes/FaceDetection';\nimport { TNetInput } from '../dom/index';\nimport { extendWithFaceDetection, WithFaceDetection } from '../factories/WithFaceDetection';\nimport { SsdMobilenetv1Options } from '../ssdMobilenetv1/SsdMobilenetv1Options';\nimport { TinyFaceDetectorOptions } from '../tinyFaceDetector/TinyFaceDetectorOptions';\nimport { TinyYolov2Options } from '../tinyYolov2/index';\nimport { ComposableTask } from './ComposableTask';\nimport { DetectAllFaceLandmarksTask, DetectSingleFaceLandmarksTask } from './DetectFaceLandmarksTasks';\nimport { nets } from './nets';\nimport { PredictAllAgeAndGenderTask, PredictSingleAgeAndGenderTask } from './PredictAgeAndGenderTask';\nimport { PredictAllFaceExpressionsTask, PredictSingleFaceExpressionsTask } from './PredictFaceExpressionsTask';\nimport { FaceDetectionOptions } from './types';\n\nexport class DetectFacesTaskBase extends ComposableTask {\n // eslint-disable-next-line no-unused-vars\n constructor(protected input: TNetInput, protected options: FaceDetectionOptions = new SsdMobilenetv1Options()) {\n super();\n }\n}\n\nexport class DetectAllFacesTask extends DetectFacesTaskBase {\n public override async run(): Promise {\n const { input, options } = this;\n let result;\n if (options instanceof TinyFaceDetectorOptions) result = nets.tinyFaceDetector.locateFaces(input, options);\n else if (options instanceof SsdMobilenetv1Options) result = nets.ssdMobilenetv1.locateFaces(input, options);\n else if (options instanceof TinyYolov2Options) result = nets.tinyYolov2.locateFaces(input, options);\n else throw new Error('detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | TinyYolov2Options');\n return result;\n }\n\n private runAndExtendWithFaceDetections(): Promise[]> {\n return new Promise[]>((resolve, reject) => {\n this.run()\n .then((detections) => resolve(detections.map((detection) => extendWithFaceDetection({}, detection))))\n .catch((err) => reject(err));\n });\n }\n\n withFaceLandmarks(useTinyLandmarkNet = false) {\n return new DetectAllFaceLandmarksTask(\n this.runAndExtendWithFaceDetections(),\n this.input,\n useTinyLandmarkNet,\n );\n }\n\n withFaceExpressions() {\n return new PredictAllFaceExpressionsTask(\n this.runAndExtendWithFaceDetections(),\n this.input,\n );\n }\n\n withAgeAndGender() {\n return new PredictAllAgeAndGenderTask(\n this.runAndExtendWithFaceDetections(),\n this.input,\n );\n }\n}\n\nexport class DetectSingleFaceTask extends DetectFacesTaskBase {\n public override async run(): Promise {\n const faceDetections = await new DetectAllFacesTask(this.input, this.options);\n let faceDetectionWithHighestScore = faceDetections[0];\n faceDetections.forEach((faceDetection) => {\n if (faceDetection.score > faceDetectionWithHighestScore.score) faceDetectionWithHighestScore = faceDetection;\n });\n return faceDetectionWithHighestScore;\n }\n\n private runAndExtendWithFaceDetection(): Promise | undefined> {\n // eslint-disable-next-line no-async-promise-executor\n return new Promise | undefined>(async (resolve) => {\n const detection = await this.run();\n resolve(detection ? extendWithFaceDetection<{}>({}, detection) : undefined);\n });\n }\n\n withFaceLandmarks(useTinyLandmarkNet = false) {\n return new DetectSingleFaceLandmarksTask(\n this.runAndExtendWithFaceDetection(),\n this.input,\n useTinyLandmarkNet,\n );\n }\n\n withFaceExpressions() {\n return new PredictSingleFaceExpressionsTask(\n this.runAndExtendWithFaceDetection(),\n this.input,\n );\n }\n\n withAgeAndGender() {\n return new PredictSingleAgeAndGenderTask(\n this.runAndExtendWithFaceDetection(),\n this.input,\n );\n }\n}\n", "import { TNetInput } from '../dom/index';\nimport { SsdMobilenetv1Options } from '../ssdMobilenetv1/SsdMobilenetv1Options';\nimport { DetectAllFacesTask, DetectSingleFaceTask } from './DetectFacesTasks';\nimport { FaceDetectionOptions } from './types';\n\nexport function detectSingleFace(input: TNetInput, options: FaceDetectionOptions = new SsdMobilenetv1Options()): DetectSingleFaceTask {\n return new DetectSingleFaceTask(input, options);\n}\n\nexport function detectAllFaces(input: TNetInput, options: FaceDetectionOptions = new SsdMobilenetv1Options()): DetectAllFacesTask {\n return new DetectAllFacesTask(input, options);\n}\n", "import { TNetInput } from '../dom/index';\nimport { WithFaceDescriptor, WithFaceDetection, WithFaceLandmarks } from '../factories/index';\nimport { SsdMobilenetv1Options } from '../ssdMobilenetv1/index';\nimport { ITinyYolov2Options, TinyYolov2Options } from '../tinyYolov2/index';\nimport { detectAllFaces } from './detectFaces';\n\nexport async function allFacesSsdMobilenetv1(input: TNetInput, minConfidence?: number): Promise>>[]> {\n return detectAllFaces(input, new SsdMobilenetv1Options(minConfidence ? { minConfidence } : {}))\n .withFaceLandmarks()\n .withFaceDescriptors();\n}\n\nexport async function allFacesTinyYolov2(input: TNetInput, forwardParams: ITinyYolov2Options = {}): Promise>>[]> {\n return detectAllFaces(input, new TinyYolov2Options(forwardParams))\n .withFaceLandmarks()\n .withFaceDescriptors();\n}\n\nexport const allFaces = allFacesSsdMobilenetv1;\n", "export function euclideanDistance(arr1: number[] | Float32Array, arr2: number[] | Float32Array) {\n if (arr1.length !== arr2.length) throw new Error('euclideanDistance: arr1.length !== arr2.length');\n const desc1 = Array.from(arr1);\n const desc2 = Array.from(arr2);\n return Math.sqrt(\n desc1\n .map((val, i) => val - desc2[i])\n .reduce((res, diff) => res + (diff * diff), 0),\n );\n}\n", "import { FaceMatch } from '../classes/FaceMatch';\nimport { LabeledFaceDescriptors } from '../classes/LabeledFaceDescriptors';\nimport { euclideanDistance } from '../euclideanDistance';\nimport { WithFaceDescriptor } from '../factories/index';\n\nexport class FaceMatcher {\n private _labeledDescriptors: LabeledFaceDescriptors[];\n private _distanceThreshold: number;\n\n constructor(inputs: LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>, distanceThreshold = 0.6) {\n this._distanceThreshold = distanceThreshold;\n const inputArray = Array.isArray(inputs) ? inputs : [inputs];\n if (!inputArray.length) throw new Error('FaceRecognizer.constructor - expected atleast one input');\n let count = 1;\n const createUniqueLabel = () => `person ${count++}`;\n this._labeledDescriptors = inputArray.map((desc) => {\n if (desc instanceof LabeledFaceDescriptors) return desc;\n if (desc instanceof Float32Array) return new LabeledFaceDescriptors(createUniqueLabel(), [desc]);\n if (desc.descriptor && desc.descriptor instanceof Float32Array) return new LabeledFaceDescriptors(createUniqueLabel(), [desc.descriptor]);\n throw new Error('FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>');\n });\n }\n\n public get labeledDescriptors(): LabeledFaceDescriptors[] { return this._labeledDescriptors; }\n\n public get distanceThreshold(): number { return this._distanceThreshold; }\n\n public computeMeanDistance(queryDescriptor: Float32Array, descriptors: Float32Array[]): number {\n return descriptors\n .map((d) => euclideanDistance(d, queryDescriptor))\n .reduce((d1, d2) => d1 + d2, 0) / (descriptors.length || 1);\n }\n\n public matchDescriptor(queryDescriptor: Float32Array): FaceMatch {\n return this.labeledDescriptors\n .map(({ descriptors, label }) => new FaceMatch(label, this.computeMeanDistance(queryDescriptor, descriptors)))\n .reduce((best, curr) => (best.distance < curr.distance ? best : curr));\n }\n\n public findBestMatch(queryDescriptor: Float32Array): FaceMatch {\n const bestMatch = this.matchDescriptor(queryDescriptor);\n return (bestMatch.distance < this._distanceThreshold) ? bestMatch : new FaceMatch('unknown', bestMatch.distance);\n }\n\n public toJSON(): any {\n return {\n distanceThreshold: this._distanceThreshold,\n labeledDescriptors: this._labeledDescriptors.map((ld) => ld.toJSON()),\n };\n }\n\n public static fromJSON(json: any): FaceMatcher {\n const labeledDescriptors = json.labeledDescriptors.map((ld: any) => LabeledFaceDescriptors.fromJSON(ld));\n return new FaceMatcher(labeledDescriptors, json.distanceThreshold);\n }\n}\n", "import { TinyFaceDetector } from './TinyFaceDetector';\n\nexport * from './TinyFaceDetector';\nexport * from './TinyFaceDetectorOptions';\n\nexport function createTinyFaceDetector(weights: Float32Array) {\n const net = new TinyFaceDetector();\n net.extractWeights(weights);\n return net;\n}\n", "import { Dimensions, IDimensions } from './classes/index';\nimport { FaceDetection } from './classes/FaceDetection';\nimport { FaceLandmarks } from './classes/FaceLandmarks';\nimport { extendWithFaceDetection, isWithFaceDetection } from './factories/WithFaceDetection';\nimport { extendWithFaceLandmarks, isWithFaceLandmarks } from './factories/WithFaceLandmarks';\n\nexport function resizeResults(results: T, dimensions: IDimensions): T {\n const { width, height } = new Dimensions(dimensions.width, dimensions.height);\n\n if (width <= 0 || height <= 0) {\n throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({ width, height })}`);\n }\n\n if (Array.isArray(results)) {\n // return results.map(obj => resizeResults(obj, { width, height })) as any as T\n return (results as Array).map((obj) => resizeResults(obj, { width, height } as IDimensions)) as any as T;\n }\n\n if (isWithFaceLandmarks(results)) {\n const resizedDetection = results.detection.forSize(width, height);\n const resizedLandmarks = results.unshiftedLandmarks.forSize(resizedDetection.box.width, resizedDetection.box.height);\n return extendWithFaceLandmarks(extendWithFaceDetection(results, resizedDetection), resizedLandmarks);\n }\n\n if (isWithFaceDetection(results)) {\n return extendWithFaceDetection(results, results.detection.forSize(width, height));\n }\n\n if (results instanceof FaceLandmarks || results instanceof FaceDetection) {\n return (results as any).forSize(width, height);\n }\n\n return results;\n}\n", "import * as tf from '../dist/tfjs.esm';\nimport * as draw from './draw/index';\nimport * as utils from './utils/index';\nimport * as pkg from '../package.json';\n\nexport { tf, draw, utils };\n\nexport * from './ageGenderNet/index';\nexport * from './classes/index';\nexport * from './dom/index';\nexport * from './env/index';\nexport * from './faceExpressionNet/index';\nexport * from './faceLandmarkNet/index';\nexport * from './faceRecognitionNet/index';\nexport * from './factories/index';\nexport * from './globalApi/index';\nexport * from './ops/index';\nexport * from './ssdMobilenetv1/index';\nexport * from './tinyFaceDetector/index';\nexport * from './tinyYolov2/index';\nexport * from './euclideanDistance';\nexport * from './NeuralNetwork';\nexport * from './resizeResults';\n\nexport const version = pkg.version as string;\n\n// set webgl defaults\n// if (browser) tf.ENV.set('WEBGL_USE_SHAPES_UNIFORMS', true);\n"], - "mappings": ";;;;;;+XAAA,IAAAA,GAAA,GAAAC,GAAAD,GAAA,SAAAE,GAAA,SAAAC,GAAA,UAAAC,GAAA,sBAAAC,GAAA,qBAAAC,GAAA,kBAAAC,GAAA,oBAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,QAAAC,GAAA,QAAAC,GAAA,WAAAC,GAAA,WAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,YAAAC,GAAA,cAAAC,GAAA,kBAAAC,GAAA,gBAAAC,GAAA,gBAAAC,GAAA,gBAAAC,GAAA,mBAAAC,GAAA,aAAAC,GAAA,kBAAAC,GAAA,gBAAAC,GAAA,aAAAC,GAAA,iBAAAC,GAAA,SAAAC,GAAA,SAAAC,GAAA,gBAAAC,GAAA,YAAAC,GAAA,eAAAC,GAAA,WAAAC,GAAA,WAAAC,GAAA,yBAAAC,GAAA,wBAAAC,GAAA,WAAAC,GAAA,2BAAAC,GAAA,0BAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,kBAAAC,GAAA,YAAAC,GAAA,WAAAC,GAAA,mBAAAC,GAAA,gBAAAC,GAAA,kBAAAC,GAAA,iBAAAC,GAAA,0BAAAC,GAAA,wCAAAC,GAAA,uCAAAC,GAAA,SAAAC,GAAA,eAAAC,GAAA,6BAAAC,GAAA,4BAAAC,GAAA,QAAAC,GAAA,kBAAAC,GAAA,WAAAC,GAAA,QAAAC,GAAA,YAAAC,GAAA,gBAAAC,GAAA,UAAAC,GAAA,QAAAC,GAAA,QAAAC,GAAA,eAAAC,GAAA,UAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,kBAAAC,GAAA,UAAAC,GAAA,aAAAC,GAAA,eAAAC,GAAA,mBAAAC,GAAA,gBAAAC,GAAA,yBAAAC,GAAA,iBAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,eAAAC,GAAA,YAAAC,GAAA,iBAAAC,GAAA,YAAAC,GAAA,SAAAC,GAAA,aAAAC,GAAA,SAAAC,GAAA,cAAAC,GAAA,aAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,kBAAAC,GAAA,QAAAC,GAAA,YAAAC,GAAA,kBAAAC,GAAA,gBAAAC,GAAA,cAAAC,GAAA,SAAAC,GAAA,cAAAC,GAAA,aAAAC,GAAA,QAAAC,GAAA,UAAAC,GAAA,eAAAC,GAAA,eAAAC,GAAA,eAAAC,GAAA,cAAAC,GAAA,eAAAC,GAAA,eAAAC,GAAA,qBAAAC,GAAA,QAAAC,GAAA,YAAAC,GAAA,cAAAC,GAAA,kBAAAC,GAAA,gBAAAC,GAAA,sBAAAC,GAAA,YAAAC,GAAA,SAAAC,GAAA,QAAAC,GAAA,YAAAC,GAAA,cAAAC,GAAA,QAAAC,GAAA,sBAAAC,GAAA,gBAAAC,GAAA,aAAAC,GAAA,QAAAC,GAAA,wBAAAC,GAAA,wBAAAC,GAAA,wBAAAC,GAAA,aAAAC,GAAA,oBAAAC,GAAA,WAAAC,GAAA,aAAAC,GAAA,cAAAC,GAAA,0BAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,QAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,qBAAAC,GAAA,QAAAC,GAAA,iBAAAC,GAAA,yBAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,SAAAC,GAAA,YAAAC,GAAA,eAAAC,GAAA,cAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,YAAAC,GAAA,mBAAAC,GAAA,uBAAAC,GAAA,0BAAAC,GAAA,8BAAAC,GAAA,YAAAC,GAAA,qBAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,iBAAAC,GAAA,cAAAC,GAAA,iBAAAC,GAAA,WAAAC,GAAA,SAAAC,GAAA,eAAAC,GAAA,YAAAC,GAAA,SAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,YAAAC,GAAA,aAAAC,GAAA,mBAAAC,GAAA,wBAAAC,GAAA,kBAAAC,GAAA,sBAAAC,GAAA,qBAAAC,GAAA,kBAAAC,GAAA,WAAAC,GAAA,SAAAC,GAAA,WAAAC,GAAA,sBAAAC,GAAA,SAAAC,GAAA,iBAAAC,GAAA,iBAAAC,GAAA,gBAAAC,GAAA,2BAAAC,GAAA,QAAAC,GAAA,QAAAC,GAAA,mBAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,WAAAC,GAAA,iBAAAC,GAAA,SAAAC,GAAA,SAAAC,GAAA,cAAAC,GAAA,cAAAC,GAAA,WAAAC,GAAA,WAAAC,GAAA,uBAAAC,GAAA,eAAAC,GAAA,aAAAC,GAAA,cAAAC,GAAA,iBAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,QAAAC,EAAA,SAAAC,GAAA,QAAAC,GAAA,QAAAC,GAAA,WAAAC,GAAA,WAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,YAAAC,GAAA,cAAAC,GAAA,YAAAC,GAAA,iBAAAC,EAAA,kBAAAC,GAAA,cAAAC,GAAA,gBAAAC,GAAA,gBAAAC,GAAA,gBAAAC,GAAA,mBAAAC,GAAA,aAAAC,GAAA,qBAAAC,GAAA,kBAAAC,GAAA,gBAAAC,GAAA,mBAAAC,GAAA,YAAAC,GAAA,WAAAC,GAAA,cAAAC,GAAA,SAAAC,GAAA,SAAAC,GAAA,gBAAAC,GAAA,UAAAC,GAAA,YAAAC,GAAA,WAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,gBAAAC,GAAA,WAAAC,GAAA,WAAAC,GAAA,oBAAAC,GAAA,WAAAC,GAAA,oBAAAC,GAAA,0BAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,iBAAAC,GAAA,YAAAC,GAAA,WAAAC,GAAA,eAAAC,GAAA,SAAAC,GAAA,kBAAAC,GAAA,oBAAAC,GAAA,iBAAAC,GAAA,oBAAAC,GAAA,iBAAAC,GAAA,gBAAAC,GAAA,SAAAC,GAAA,eAAAC,GAAA,+BAAAC,GAAA,YAAAC,GAAA,qBAAAC,GAAA,QAAAC,GAAA,aAAAC,GAAA,QAAAC,GAAA,YAAAC,GAAA,WAAAC,GAAA,QAAAC,GAAA,oBAAAC,GAAA,mBAAAC,GAAA,wBAAAC,GAAA,WAAAC,GAAA,QAAAC,EAAA,UAAAC,GAAA,QAAAC,GAAA,kBAAAC,GAAA,QAAAC,GAAA,eAAAC,GAAA,UAAAC,GAAA,QAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,gBAAAC,GAAA,uBAAAC,GAAA,UAAAC,GAAA,aAAAC,GAAA,mBAAAC,GAAA,UAAAC,GAAA,WAAAC,GAAA,aAAAC,GAAA,gBAAAC,GAAA,eAAAC,GAAA,gBAAAC,GAAA,cAAAC,GAAA,yBAAAC,GAAA,oBAAAC,IAAA,eAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,YAAAC,GAAA,iBAAAC,GAAA,SAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,gBAAAC,GAAA,iBAAAC,GAAA,UAAAC,GAAA,OAAAC,GAAA,UAAAC,GAAA,aAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,iBAAAC,GAAA,WAAAC,GAAA,cAAAC,GAAA,SAAAC,GAAA,cAAAC,GAAA,WAAAC,GAAA,aAAAC,GAAA,mBAAAC,GAAA,uBAAAC,GAAA,oBAAAC,GAAA,+BAAAC,GAAA,QAAAC,GAAA,UAAAC,GAAA,eAAAC,GAAA,eAAAC,GAAA,cAAAC,GAAA,eAAAC,GAAA,eAAAC,GAAA,cAAAC,GAAA,eAAAC,GAAA,WAAAC,GAAA,eAAAC,GAAA,WAAAC,GAAA,SAAAC,GAAA,QAAAC,GAAA,YAAAC,GAAA,cAAAC,GAAA,sBAAAC,GAAA,YAAAC,GAAA,SAAAC,GAAA,WAAAC,GAAA,aAAAC,GAAA,YAAAC,GAAA,QAAAC,GAAA,YAAAC,GAAA,cAAAC,GAAA,QAAAC,GAAA,UAAAC,GAAA,WAAAC,GAAA,YAAAC,GAAA,kBAAAC,GAAA,QAAAC,EAAA,iBAAAC,GAAA,gBAAAC,GAAA,QAAAC,GAAA,cAAAC,GAAA,SAAAC,GAAA,aAAAC,GAAA,WAAAC,GAAA,SAAAC,GAAA,aAAAC,GAAA,OAAAC,EAAA,iBAAAC,GAAA,QAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,QAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,YAAAC,GAAA,iBAAAC,GAAA,yBAAAC,GAAA,SAAAC,GAAA,gBAAAC,GAAA,iBAAAC,GAAA,yBAAAC,GAAA,kBAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,eAAAC,GAAA,oBAAAC,GAAA,gCAAAC,GAAA,qBAAAC,GAAA,mBAAAC,GAAA,eAAAC,GAAA,iBAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,kBAAAC,GAAA,YAAAC,EAAA,YAAAC,GAAA,cAAAC,GAAA,cAAAC,GAAA,cAAAC,GAAA,cAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,WAAAC,GAAA,cAAAC,GAAA,iBAAAC,GAAA,iBAAAC,GAAA,SAAAC,GAAA,oBAAAC,GAAA,eAAAC,GAAA,kBAAAC,GAAA,eAAAC,GAAA,gBAAAC,GAAA,oBAAAC,IAAA,gBAAAC,IAAA,iBAAAC,IAAA,oBAAAC,GAAA,mBAAAC,GAAA,YAAAC,GAAA,SAAAC,GAAA,WAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,YAAAC,GAAA,YAAAC,GAAA,YAAAC,GAAA,YAAAC,GAAA,eAAAC,GAAA,YAAAC,GAAA,aAAAC,GAAA,mBAAAC,GAAA,WAAAC,GAAA,kBAAAC,GAAA,aAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,WAAAC,GAAA,sBAAAC,GAAA,YAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,iBAAAC,GAAA,WAAAC,GAAA,QAAAC,GAAA,QAAAC,GAAA,eAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,WAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,gBAAAC,GAAA,cAAAC,GAAA,SAAAC,EAAA,SAAAC,GAAA,SAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,cAAAC,GAAA,oBAAAC,GAAA,WAAAC,GAAA,uBAAAC,GAAA,qBAAAC,GAAA,uBAAAC,GAAA,YAAAC,GAAA,eAAAC,GAAA,eAAAC,GAAA,SAAAC,EAAA,iBAAAC,GAAA,kBAAAC,GAAA,aAAAC,GAAA,kBAAAC,GAAA,YAAAC,IAAA,sBAAAC,GAAA,iBAAAC,GAAA,mBAAAC,GAAA,iBAAAC,IAAA,kBAAAC,GAAA,UAAAC,GAAA,eAAAC,GAAA,UAAAC,GAAA,eAAAC,GAAA,UAAAC,GAAA,cAAAC,KAMA,IAAIC,GAAG,OAAO,OAAWC,GAAG,OAAO,eAAmBC,GAAG,OAAO,yBAA6BC,GAAG,OAAO,oBAAwBC,GAAG,OAAO,eAAeC,GAAG,OAAO,UAAU,eAAmBC,IAAIC,GAAG,OAAOC,IAAS,YAAYA,GAAQ,OAAO,OAAO,YAAY,IAAI,MAAMD,EAAE,CAAC,IAAI,CAAC,EAAEE,KAAK,OAAOD,IAAS,YAAYA,GAAQ,GAAGC,EAAE,CAAC,EAAEF,GAAG,SAASA,EAAE,CAAC,GAAG,OAAOC,IAAS,YAAY,OAAOA,GAAQ,MAAM,KAAK,SAAS,EAAE,MAAM,IAAI,MAAM,uBAAuBD,EAAE,oBAAoB,CAAC,CAAC,EAAMG,GAAG,CAACH,EAAE,IAAI,KAAK,GAAGA,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,GAAG,QAAQ,CAAC,EAAE,EAAE,SAASI,GAAG,CAACJ,EAAE,IAAI,CAAC,QAAQE,KAAK,EAAER,GAAGM,EAAEE,EAAE,CAAC,IAAI,EAAEA,GAAG,WAAW,EAAE,CAAC,CAAC,EAAEG,GAAG,CAACL,EAAE,EAAEE,EAAEI,IAAI,CAAC,GAAG,GAAG,OAAO,GAAG,UAAU,OAAO,GAAG,WAAW,QAAQC,KAAKX,GAAG,CAAC,EAAE,CAACE,GAAG,KAAKE,EAAEO,CAAC,GAAGA,IAAIL,GAAGR,GAAGM,EAAEO,EAAE,CAAC,IAAI,IAAI,EAAEA,GAAG,WAAW,EAAED,EAAEX,GAAG,EAAEY,CAAC,IAAID,EAAE,UAAU,CAAC,EAAE,OAAON,CAAC,EAAMQ,GAAG,CAACR,EAAE,EAAEE,KAAKA,EAAEF,GAAG,KAAKP,GAAGI,GAAGG,CAAC,CAAC,EAAE,CAAC,EAAEK,GAAG,GAAG,CAACL,GAAG,CAACA,EAAE,WAAWN,GAAGQ,EAAE,UAAU,CAAC,MAAMF,EAAE,WAAW,EAAE,CAAC,EAAEE,EAAEF,CAAC,GAAOS,GAAGN,GAAG,CAACO,EAAIC,IAAK,CAACA,EAAG,QAAQC,EAAG,IAAIC,EAAG,KAAK,GAAG,CAACA,EAAG,IAAI,YAAY,SAAS,IAAI,YAAY,OAAO,IAAI,WAAW,CAAC,EAAE,GAAG,IAAI,IAAI,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,GAAG,EAAE,EAAE,IAAI,GAAG,EAAE,IAAI,IAAI,IAAI,IAAI,EAAE,IAAI,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,IAAI,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,EAAE,IAAI,IAAI,IAAI,EAAE,EAAE,EAAE,IAAI,IAAI,IAAI,GAAG,IAAI,EAAE,EAAE,EAAE,IAAI,IAAI,IAAI,GAAG,IAAI,EAAE,EAAE,EAAE,IAAI,IAAI,IAAI,GAAG,IAAI,EAAE,EAAE,EAAE,IAAI,IAAI,IAAI,GAAG,IAAI,EAAE,EAAE,EAAE,IAAI,IAAI,IAAI,GAAG,IAAI,IAAI,IAAI,IAAI,EAAE,EAAE,GAAG,IAAI,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,GAAG,GAAG,EAAE,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,IAAI,GAAG,EAAE,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,GAAG,EAAE,IAAI,GAAG,GAAG,EAAE,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,IAAI,GAAG,EAAE,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,GAAG,EAAE,IAAI,GAAG,GAAG,EAAE,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,IAAI,GAAG,EAAE,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,GAAG,EAAE,IAAI,GAAG,GAAG,EAAE,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,IAAI,GAAG,EAAE,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,GAAG,EAAE,IAAI,GAAG,GAAG,EAAE,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,IAAI,GAAG,EAAE,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,GAAG,EAAE,IAAI,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,OAAO,OAAOb,EAAN,CAAS,CAAC,SAASY,EAAGZ,EAAEc,EAAEZ,EAAE,CAAC,KAAK,IAAIF,EAAE,EAAE,KAAK,KAAKc,EAAE,EAAE,KAAK,SAAS,CAAC,CAACZ,CAAC,CAACU,EAAG,UAAU,WAAW,OAAO,eAAeA,EAAG,UAAU,aAAa,CAAC,MAAM,EAAE,CAAC,EAAE,SAASG,EAAGf,EAAE,CAAC,OAAOA,GAAGA,EAAE,cAAc,EAAE,CAACY,EAAG,OAAOG,EAAG,IAAIC,EAAG,CAAC,EAAEC,EAAG,CAAC,EAAE,SAASC,EAAGlB,EAAEc,EAAE,CAAC,IAAIZ,EAAEI,EAAEC,EAAE,OAAOO,GAAGd,KAAK,GAAGO,EAAE,GAAGP,GAAGA,EAAE,OAAOM,EAAEW,EAAGjB,GAAGM,GAAGA,GAAGJ,EAAEiB,EAAGnB,GAAGA,EAAE,GAAG,EAAE,GAAG,EAAE,EAAE,EAAEO,IAAIU,EAAGjB,GAAGE,GAAGA,KAAKF,GAAG,GAAGO,EAAE,MAAMP,GAAGA,EAAE,OAAOM,EAAEU,EAAGhB,GAAGM,GAAGA,GAAGJ,EAAEiB,EAAGnB,EAAEA,EAAE,EAAE,GAAG,EAAE,EAAE,EAAEO,IAAIS,EAAGhB,GAAGE,GAAGA,GAAG,CAACU,EAAG,QAAQM,EAAG,SAASE,EAAGpB,EAAEc,EAAE,CAAC,GAAG,MAAMd,CAAC,EAAE,OAAOc,EAAEO,EAAGC,EAAG,GAAGR,EAAE,CAAC,GAAGd,EAAE,EAAE,OAAOqB,EAAG,GAAGrB,GAAGuB,EAAG,OAAOC,CAAE,KAAK,CAAC,GAAGxB,GAAG,CAACyB,EAAG,OAAOC,EAAG,GAAG1B,EAAE,GAAGyB,EAAG,OAAOE,CAAE,CAAC,OAAO3B,EAAE,EAAEoB,EAAG,CAACpB,EAAEc,CAAC,EAAE,IAAI,EAAEK,EAAGnB,EAAE4B,EAAG,EAAE5B,EAAE4B,EAAG,EAAEd,CAAC,CAAC,CAACF,EAAG,WAAWQ,EAAG,SAASD,EAAGnB,EAAEc,EAAEZ,EAAE,CAAC,OAAO,IAAIU,EAAGZ,EAAEc,EAAEZ,CAAC,CAAC,CAACU,EAAG,SAASO,EAAG,IAAIU,EAAG,KAAK,IAAI,SAASC,EAAG9B,EAAEc,EAAEZ,EAAE,CAAC,GAAGF,EAAE,SAAS,EAAE,MAAM,MAAM,cAAc,EAAE,GAAGA,IAAI,OAAOA,IAAI,YAAYA,IAAI,aAAaA,IAAI,YAAY,OAAOsB,EAAG,GAAG,OAAOR,GAAG,UAAUZ,EAAEY,EAAEA,EAAE,IAAIA,EAAE,CAAC,CAACA,EAAEZ,EAAEA,GAAG,GAAGA,EAAE,GAAG,GAAGA,EAAE,MAAM,WAAW,OAAO,EAAE,IAAII,EAAE,IAAIA,EAAEN,EAAE,QAAQ,GAAG,GAAG,EAAE,MAAM,MAAM,iBAAiB,EAAE,GAAGM,IAAI,EAAE,OAAOwB,EAAG9B,EAAE,UAAU,CAAC,EAAEc,EAAEZ,CAAC,EAAE,IAAI,EAAE,QAAQK,EAAEa,EAAGS,EAAG3B,EAAE,CAAC,CAAC,EAAE6B,EAAET,EAAGU,EAAE,EAAEA,EAAEhC,EAAE,OAAOgC,GAAG,EAAE,CAAC,IAAIC,EAAE,KAAK,IAAI,EAAEjC,EAAE,OAAOgC,CAAC,EAAEE,EAAE,SAASlC,EAAE,UAAUgC,EAAEA,EAAEC,CAAC,EAAE/B,CAAC,EAAE,GAAG+B,EAAE,EAAE,CAAC,IAAIE,GAAEf,EAAGS,EAAG3B,EAAE+B,CAAC,CAAC,EAAEF,EAAEA,EAAE,IAAII,EAAC,EAAE,IAAIf,EAAGc,CAAC,CAAC,CAAC,MAAMH,EAAEA,EAAE,IAAIxB,CAAC,EAAEwB,EAAEA,EAAE,IAAIX,EAAGc,CAAC,CAAC,CAAC,CAAC,OAAOH,EAAE,SAASjB,EAAEiB,CAAC,CAACnB,EAAG,WAAWkB,EAAG,SAASM,EAAGpC,EAAEc,EAAE,CAAC,OAAO,OAAOd,GAAG,SAASoB,EAAGpB,EAAEc,CAAC,EAAE,OAAOd,GAAG,SAAS8B,EAAG9B,EAAEc,CAAC,EAAEK,EAAGnB,EAAE,IAAIA,EAAE,KAAK,OAAOc,GAAG,UAAUA,EAAEd,EAAE,QAAQ,CAAC,CAACY,EAAG,UAAUwB,EAAG,IAAIC,EAAG,GAAG,GAAGC,EAAG,GAAG,GAAGV,EAAGS,EAAGA,EAAGd,EAAGK,EAAGA,EAAGH,EAAGF,EAAG,EAAEgB,EAAGrB,EAAGoB,CAAE,EAAEhB,EAAGJ,EAAG,CAAC,EAAEN,EAAG,KAAKU,EAAG,IAAID,EAAGH,EAAG,EAAE,EAAE,EAAEN,EAAG,MAAMS,EAAG,IAAImB,EAAGtB,EAAG,CAAC,EAAEN,EAAG,IAAI4B,EAAG,IAAIC,EAAGvB,EAAG,EAAE,EAAE,EAAEN,EAAG,KAAK6B,EAAG,IAAIC,EAAGxB,EAAG,EAAE,EAAEN,EAAG,QAAQ8B,EAAG,IAAIf,EAAGR,EAAG,GAAG,WAAW,EAAE,EAAEP,EAAG,UAAUe,EAAG,IAAIH,EAAGL,EAAG,GAAG,GAAG,EAAE,EAAEP,EAAG,mBAAmBY,EAAG,IAAIE,EAAGP,EAAG,EAAE,YAAY,EAAE,EAAEP,EAAG,UAAUc,EAAG,IAAIiB,EAAG/B,EAAG,UAAU+B,EAAG,MAAM,UAAU,CAAC,OAAO,KAAK,SAAS,KAAK,MAAM,EAAE,KAAK,GAAG,EAAEA,EAAG,SAAS,UAAU,CAAC,OAAO,KAAK,UAAU,KAAK,OAAO,GAAGf,GAAI,KAAK,MAAM,GAAG,KAAK,KAAKA,GAAI,KAAK,MAAM,EAAE,EAAEe,EAAG,SAAS,SAAS7B,EAAE,CAAC,GAAGA,EAAEA,GAAG,GAAGA,EAAE,GAAG,GAAGA,EAAE,MAAM,WAAW,OAAO,EAAE,GAAG,KAAK,OAAO,EAAE,MAAM,IAAI,GAAG,KAAK,WAAW,EAAE,GAAG,KAAK,GAAGY,CAAE,EAAE,CAAC,IAAIxB,EAAEkB,EAAGN,CAAC,EAAER,EAAE,KAAK,IAAIJ,CAAC,EAAEK,EAAED,EAAE,IAAIJ,CAAC,EAAE,IAAI,IAAI,EAAE,OAAOI,EAAE,SAASQ,CAAC,EAAEP,EAAE,MAAM,EAAE,SAASO,CAAC,CAAC,KAAM,OAAM,IAAI,KAAK,IAAI,EAAE,SAASA,CAAC,EAAE,QAAQiB,EAAEX,EAAGS,EAAGf,EAAE,CAAC,EAAE,KAAK,QAAQ,EAAEkB,EAAE,KAAKC,EAAE,KAAK,CAAC,IAAIC,EAAEF,EAAE,IAAID,CAAC,EAAEI,EAAEH,EAAE,IAAIE,EAAE,IAAIH,CAAC,CAAC,EAAE,MAAM,IAAI,EAAEa,GAAET,EAAE,SAASrB,CAAC,EAAE,GAAGkB,EAAEE,EAAEF,EAAE,OAAO,EAAE,OAAOY,GAAEX,EAAE,KAAKW,GAAE,OAAO,GAAGA,GAAE,IAAIA,GAAEX,EAAE,GAAGW,GAAEX,CAAC,CAAC,EAAEU,EAAG,YAAY,UAAU,CAAC,OAAO,KAAK,IAAI,EAAEA,EAAG,oBAAoB,UAAU,CAAC,OAAO,KAAK,OAAO,CAAC,EAAEA,EAAG,WAAW,UAAU,CAAC,OAAO,KAAK,GAAG,EAAEA,EAAG,mBAAmB,UAAU,CAAC,OAAO,KAAK,MAAM,CAAC,EAAEA,EAAG,cAAc,UAAU,CAAC,GAAG,KAAK,WAAW,EAAE,OAAO,KAAK,GAAGjB,CAAE,EAAE,GAAG,KAAK,IAAI,EAAE,cAAc,EAAE,QAAQZ,EAAE,KAAK,MAAM,EAAE,KAAK,KAAK,KAAK,IAAIZ,EAAE,GAAGA,EAAE,IAAIY,EAAE,GAAGZ,IAAI,EAAEA,IAAI,CAAC,OAAO,KAAK,MAAM,EAAEA,EAAE,GAAGA,EAAE,CAAC,EAAEyC,EAAG,OAAO,UAAU,CAAC,OAAO,KAAK,OAAO,GAAG,KAAK,MAAM,CAAC,EAAEA,EAAG,IAAIA,EAAG,OAAOA,EAAG,WAAW,UAAU,CAAC,MAAM,CAAC,KAAK,UAAU,KAAK,KAAK,CAAC,EAAEA,EAAG,WAAW,UAAU,CAAC,OAAO,KAAK,UAAU,KAAK,MAAM,CAAC,EAAEA,EAAG,MAAM,UAAU,CAAC,OAAO,KAAK,IAAI,KAAK,CAAC,EAAEA,EAAG,OAAO,UAAU,CAAC,OAAO,KAAK,IAAI,KAAK,CAAC,EAAEA,EAAG,OAAO,SAAS7B,EAAE,CAAC,OAAOC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAG,KAAK,WAAWA,EAAE,UAAU,KAAK,OAAO,KAAK,GAAGA,EAAE,OAAO,KAAK,EAAE,GAAG,KAAK,OAAOA,EAAE,MAAM,KAAK,MAAMA,EAAE,GAAG,EAAE6B,EAAG,GAAGA,EAAG,OAAOA,EAAG,UAAU,SAAS7B,EAAE,CAAC,MAAM,CAAC,KAAK,GAAGA,CAAC,CAAC,EAAE6B,EAAG,IAAIA,EAAG,UAAUA,EAAG,GAAGA,EAAG,UAAUA,EAAG,SAAS,SAAS7B,EAAE,CAAC,OAAO,KAAK,KAAKA,CAAC,EAAE,CAAC,EAAE6B,EAAG,GAAGA,EAAG,SAASA,EAAG,gBAAgB,SAAS7B,EAAE,CAAC,OAAO,KAAK,KAAKA,CAAC,GAAG,CAAC,EAAE6B,EAAG,IAAIA,EAAG,gBAAgBA,EAAG,GAAGA,EAAG,gBAAgBA,EAAG,YAAY,SAAS7B,EAAE,CAAC,OAAO,KAAK,KAAKA,CAAC,EAAE,CAAC,EAAE6B,EAAG,GAAGA,EAAG,YAAYA,EAAG,mBAAmB,SAAS7B,EAAE,CAAC,OAAO,KAAK,KAAKA,CAAC,GAAG,CAAC,EAAE6B,EAAG,IAAIA,EAAG,mBAAmBA,EAAG,GAAGA,EAAG,mBAAmBA,EAAG,QAAQ,SAAS7B,EAAE,CAAC,GAAGC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAG,KAAK,GAAGA,CAAC,EAAE,MAAO,GAAE,IAAIZ,EAAE,KAAK,WAAW,EAAEI,EAAEQ,EAAE,WAAW,EAAE,OAAOZ,GAAG,CAACI,EAAE,GAAG,CAACJ,GAAGI,EAAE,EAAE,KAAK,SAASQ,EAAE,OAAO,EAAE,KAAK,OAAO,GAAGA,EAAE,OAAO,KAAK,MAAMA,EAAE,MAAM,EAAE,KAAK,MAAM,EAAE,GAAG,EAAE,KAAK,IAAIA,CAAC,EAAE,WAAW,EAAE,GAAG,CAAC,EAAE6B,EAAG,KAAKA,EAAG,QAAQA,EAAG,OAAO,UAAU,CAAC,MAAM,CAAC,KAAK,UAAU,KAAK,GAAGjB,CAAE,EAAEA,EAAG,KAAK,IAAI,EAAE,IAAIc,CAAE,CAAC,EAAEG,EAAG,IAAIA,EAAG,OAAOA,EAAG,IAAI,SAAS7B,EAAE,CAACC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAG,IAAIZ,EAAE,KAAK,OAAO,GAAGI,EAAE,KAAK,KAAK,MAAMC,EAAE,KAAK,MAAM,GAAGwB,EAAE,KAAK,IAAI,MAAMC,EAAElB,EAAE,OAAO,GAAGmB,EAAEnB,EAAE,KAAK,MAAMoB,EAAEpB,EAAE,MAAM,GAAGqB,EAAErB,EAAE,IAAI,MAAM8B,GAAE,EAAEC,GAAE,EAAEC,GAAE,EAAEC,GAAE,EAAE,OAAOA,IAAGhB,EAAEI,EAAEW,IAAGC,KAAI,GAAGA,IAAG,MAAMD,IAAGvC,EAAE2B,EAAEW,IAAGC,KAAI,GAAGA,IAAG,MAAMD,IAAGvC,EAAE2B,EAAEW,IAAGC,KAAI,GAAGA,IAAG,MAAMD,IAAG1C,EAAE8B,EAAEY,IAAG,MAAMzB,EAAG2B,IAAG,GAAGC,GAAEH,IAAG,GAAGC,GAAE,KAAK,QAAQ,CAAC,EAAEF,EAAG,SAAS,SAAS7B,EAAE,CAAC,OAAOC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAG,KAAK,IAAIA,EAAE,IAAI,CAAC,CAAC,EAAE6B,EAAG,IAAIA,EAAG,SAASA,EAAG,SAAS,SAAS7B,EAAE,CAAC,GAAG,KAAK,OAAO,EAAE,OAAOQ,EAAG,GAAGP,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAGD,EAAG,CAAC,IAAIX,EAAEW,EAAG,IAAI,KAAK,IAAI,KAAK,KAAKC,EAAE,IAAIA,EAAE,IAAI,EAAE,OAAOK,EAAGjB,EAAEW,EAAG,SAAS,EAAE,KAAK,QAAQ,CAAC,CAAC,GAAGC,EAAE,OAAO,EAAE,OAAOQ,EAAG,GAAG,KAAK,GAAGI,CAAE,EAAE,OAAOZ,EAAE,MAAM,EAAEY,EAAGJ,EAAG,GAAGR,EAAE,GAAGY,CAAE,EAAE,OAAO,KAAK,MAAM,EAAEA,EAAGJ,EAAG,GAAG,KAAK,WAAW,EAAE,OAAOR,EAAE,WAAW,EAAE,KAAK,IAAI,EAAE,IAAIA,EAAE,IAAI,CAAC,EAAE,KAAK,IAAI,EAAE,IAAIA,CAAC,EAAE,IAAI,EAAE,GAAGA,EAAE,WAAW,EAAE,OAAO,KAAK,IAAIA,EAAE,IAAI,CAAC,EAAE,IAAI,EAAE,GAAG,KAAK,GAAGyB,CAAE,GAAGzB,EAAE,GAAGyB,CAAE,EAAE,OAAOnB,EAAG,KAAK,SAAS,EAAEN,EAAE,SAAS,EAAE,KAAK,QAAQ,EAAE,IAAIR,EAAE,KAAK,OAAO,GAAGC,EAAE,KAAK,KAAK,MAAMwB,EAAE,KAAK,MAAM,GAAGC,EAAE,KAAK,IAAI,MAAMC,EAAEnB,EAAE,OAAO,GAAGoB,EAAEpB,EAAE,KAAK,MAAMqB,EAAErB,EAAE,MAAM,GAAG8B,GAAE9B,EAAE,IAAI,MAAM+B,GAAE,EAAEC,GAAE,EAAEC,GAAE,EAAEC,GAAE,EAAE,OAAOA,IAAGhB,EAAEY,GAAEG,IAAGC,KAAI,GAAGA,IAAG,MAAMD,IAAGhB,EAAEa,GAAEE,IAAGC,KAAI,GAAGA,IAAG,MAAMA,IAAGf,EAAEG,EAAEW,IAAGC,KAAI,GAAGA,IAAG,MAAMD,IAAGvC,EAAEqC,GAAEC,IAAGC,KAAI,GAAGA,IAAG,MAAMA,IAAGf,EAAEI,EAAEU,IAAGC,KAAI,GAAGA,IAAG,MAAMA,IAAGd,EAAEE,EAAEW,IAAGC,KAAI,GAAGA,IAAG,MAAMD,IAAGvC,EAAEsC,GAAErC,EAAE4B,EAAEJ,EAAEG,EAAEF,EAAEC,EAAEY,IAAG,MAAM1B,EAAG4B,IAAG,GAAGC,GAAEH,IAAG,GAAGC,GAAE,KAAK,QAAQ,CAAC,EAAEH,EAAG,IAAIA,EAAG,SAASA,EAAG,OAAO,SAAS7B,EAAE,CAAC,GAAGC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAGA,EAAE,OAAO,EAAE,MAAM,MAAM,kBAAkB,EAAE,GAAGD,EAAG,CAAC,GAAG,CAAC,KAAK,UAAU,KAAK,OAAO,aAAaC,EAAE,MAAM,IAAIA,EAAE,OAAO,GAAG,OAAO,KAAK,IAAIZ,GAAG,KAAK,SAASW,EAAG,MAAMA,EAAG,OAAO,KAAK,IAAI,KAAK,KAAKC,EAAE,IAAIA,EAAE,IAAI,EAAE,OAAOK,EAAGjB,EAAEW,EAAG,SAAS,EAAE,KAAK,QAAQ,CAAC,CAAC,GAAG,KAAK,OAAO,EAAE,OAAO,KAAK,SAASQ,EAAGC,EAAG,IAAIhB,EAAEC,EAAEwB,EAAE,GAAG,KAAK,SAAS,CAAC,GAAGjB,EAAE,WAAWA,EAAEA,EAAE,WAAW,GAAGA,EAAE,GAAG,IAAI,EAAE,OAAOO,EAAG,GAAGP,EAAE,GAAG,KAAK,KAAK,CAAC,CAAC,EAAE,OAAO2B,EAAGV,EAAEV,CAAE,KAAK,CAAC,GAAG,KAAK,GAAGK,CAAE,EAAE,CAAC,GAAGZ,EAAE,GAAG0B,CAAE,GAAG1B,EAAE,GAAG4B,CAAE,EAAE,OAAOhB,EAAG,GAAGZ,EAAE,GAAGY,CAAE,EAAE,OAAOc,EAAG,IAAIR,EAAE,KAAK,IAAI,CAAC,EAAE,OAAO1B,EAAE0B,EAAE,IAAIlB,CAAC,EAAE,IAAI,CAAC,EAAER,EAAE,GAAGgB,CAAE,EAAER,EAAE,WAAW,EAAE0B,EAAGE,GAAInC,EAAE,KAAK,IAAIO,EAAE,IAAIR,CAAC,CAAC,EAAEyB,EAAEzB,EAAE,IAAIC,EAAE,IAAIO,CAAC,CAAC,EAAEiB,EAAE,SAASjB,EAAE,GAAGY,CAAE,EAAE,OAAO,KAAK,SAASL,EAAGC,EAAG,GAAG,KAAK,WAAW,EAAE,OAAOR,EAAE,WAAW,EAAE,KAAK,IAAI,EAAE,IAAIA,EAAE,IAAI,CAAC,EAAE,KAAK,IAAI,EAAE,IAAIA,CAAC,EAAE,IAAI,EAAE,GAAGA,EAAE,WAAW,EAAE,OAAO,KAAK,IAAIA,EAAE,IAAI,CAAC,EAAE,IAAI,EAAEiB,EAAET,CAAE,CAAC,IAAIf,EAAE,KAAKA,EAAE,IAAIO,CAAC,GAAG,CAACR,EAAE,KAAK,IAAI,EAAE,KAAK,MAAMC,EAAE,SAAS,EAAEO,EAAE,SAAS,CAAC,CAAC,EAAE,QAAQmB,EAAE,KAAK,KAAK,KAAK,IAAI3B,CAAC,EAAE,KAAK,GAAG,EAAE4B,EAAED,GAAG,GAAG,EAAEJ,EAAG,EAAEI,EAAE,EAAE,EAAEE,EAAEf,EAAGd,CAAC,EAAEsC,GAAET,EAAE,IAAIrB,CAAC,EAAE8B,GAAE,WAAW,GAAGA,GAAE,GAAGrC,CAAC,GAAGD,GAAG4B,EAAEC,EAAEf,EAAGd,EAAE,KAAK,QAAQ,EAAEsC,GAAET,EAAE,IAAIrB,CAAC,EAAEqB,EAAE,OAAO,IAAIA,EAAEK,GAAIT,EAAEA,EAAE,IAAII,CAAC,EAAE5B,EAAEA,EAAE,IAAIqC,EAAC,CAAC,CAAC,OAAOb,CAAC,EAAEY,EAAG,IAAIA,EAAG,OAAOA,EAAG,OAAO,SAAS7B,EAAE,CAAC,GAAGC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAGD,EAAG,CAAC,IAAIX,GAAG,KAAK,SAASW,EAAG,MAAMA,EAAG,OAAO,KAAK,IAAI,KAAK,KAAKC,EAAE,IAAIA,EAAE,IAAI,EAAE,OAAOK,EAAGjB,EAAEW,EAAG,SAAS,EAAE,KAAK,QAAQ,CAAC,CAAC,OAAO,KAAK,IAAI,KAAK,IAAIC,CAAC,EAAE,IAAIA,CAAC,CAAC,CAAC,EAAE6B,EAAG,IAAIA,EAAG,OAAOA,EAAG,IAAIA,EAAG,OAAOA,EAAG,IAAI,UAAU,CAAC,OAAOxB,EAAG,CAAC,KAAK,IAAI,CAAC,KAAK,KAAK,KAAK,QAAQ,CAAC,EAAEwB,EAAG,IAAI,SAAS7B,EAAE,CAAC,OAAOC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAGK,EAAG,KAAK,IAAIL,EAAE,IAAI,KAAK,KAAKA,EAAE,KAAK,KAAK,QAAQ,CAAC,EAAE6B,EAAG,GAAG,SAAS7B,EAAE,CAAC,OAAOC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAGK,EAAG,KAAK,IAAIL,EAAE,IAAI,KAAK,KAAKA,EAAE,KAAK,KAAK,QAAQ,CAAC,EAAE6B,EAAG,IAAI,SAAS7B,EAAE,CAAC,OAAOC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAGK,EAAG,KAAK,IAAIL,EAAE,IAAI,KAAK,KAAKA,EAAE,KAAK,KAAK,QAAQ,CAAC,EAAE6B,EAAG,UAAU,SAAS7B,EAAE,CAAC,OAAOC,EAAGD,CAAC,IAAIA,EAAEA,EAAE,MAAM,IAAIA,GAAG,MAAM,EAAE,KAAKA,EAAE,GAAGK,EAAG,KAAK,KAAKL,EAAE,KAAK,MAAMA,EAAE,KAAK,MAAM,GAAGA,EAAE,KAAK,QAAQ,EAAEK,EAAG,EAAE,KAAK,KAAKL,EAAE,GAAG,KAAK,QAAQ,CAAC,EAAE6B,EAAG,IAAIA,EAAG,UAAUA,EAAG,WAAW,SAAS7B,EAAE,CAAC,OAAOC,EAAGD,CAAC,IAAIA,EAAEA,EAAE,MAAM,IAAIA,GAAG,MAAM,EAAE,KAAKA,EAAE,GAAGK,EAAG,KAAK,MAAML,EAAE,KAAK,MAAM,GAAGA,EAAE,KAAK,MAAMA,EAAE,KAAK,QAAQ,EAAEK,EAAG,KAAK,MAAML,EAAE,GAAG,KAAK,MAAM,EAAE,EAAE,GAAG,KAAK,QAAQ,CAAC,EAAE6B,EAAG,IAAIA,EAAG,WAAWA,EAAG,mBAAmB,SAAS7B,EAAE,CAAC,GAAGC,EAAGD,CAAC,IAAIA,EAAEA,EAAE,MAAM,GAAGA,GAAG,GAAGA,IAAI,EAAE,OAAO,KAAK,IAAIZ,EAAE,KAAK,KAAK,GAAGY,EAAE,GAAG,CAAC,IAAIR,EAAE,KAAK,IAAI,OAAOa,EAAGb,IAAIQ,EAAEZ,GAAG,GAAGY,EAAEZ,IAAIY,EAAE,KAAK,QAAQ,CAAC,KAAM,QAAOA,IAAI,GAAGK,EAAGjB,EAAE,EAAE,KAAK,QAAQ,EAAEiB,EAAGjB,IAAIY,EAAE,GAAG,EAAE,KAAK,QAAQ,CAAC,EAAE6B,EAAG,KAAKA,EAAG,mBAAmBA,EAAG,MAAMA,EAAG,mBAAmBA,EAAG,SAAS,UAAU,CAAC,OAAO,KAAK,SAASxB,EAAG,KAAK,IAAI,KAAK,KAAK,EAAE,EAAE,IAAI,EAAEwB,EAAG,WAAW,UAAU,CAAC,OAAO,KAAK,SAAS,KAAKxB,EAAG,KAAK,IAAI,KAAK,KAAK,EAAE,CAAC,EAAEwB,EAAG,QAAQ,SAAS7B,EAAE,CAAC,OAAOA,EAAE,KAAK,UAAU,EAAE,KAAK,UAAU,CAAC,EAAE6B,EAAG,UAAU,UAAU,CAAC,IAAI7B,EAAE,KAAK,KAAKZ,EAAE,KAAK,IAAI,MAAM,CAACA,EAAE,IAAIA,IAAI,EAAE,IAAIA,IAAI,GAAG,IAAIA,IAAI,GAAGY,EAAE,IAAIA,IAAI,EAAE,IAAIA,IAAI,GAAG,IAAIA,IAAI,EAAE,CAAC,EAAE6B,EAAG,UAAU,UAAU,CAAC,IAAI7B,EAAE,KAAK,KAAKZ,EAAE,KAAK,IAAI,MAAM,CAACY,IAAI,GAAGA,IAAI,GAAG,IAAIA,IAAI,EAAE,IAAIA,EAAE,IAAIZ,IAAI,GAAGA,IAAI,GAAG,IAAIA,IAAI,EAAE,IAAIA,EAAE,GAAG,CAAC,EAAEU,EAAG,UAAU,SAASE,EAAEZ,EAAEI,EAAE,CAAC,OAAOA,EAAEM,EAAG,YAAYE,EAAEZ,CAAC,EAAEU,EAAG,YAAYE,EAAEZ,CAAC,CAAC,EAAEU,EAAG,YAAY,SAASE,EAAEZ,EAAE,CAAC,OAAO,IAAIU,EAAGE,EAAE,GAAGA,EAAE,IAAI,EAAEA,EAAE,IAAI,GAAGA,EAAE,IAAI,GAAGA,EAAE,GAAGA,EAAE,IAAI,EAAEA,EAAE,IAAI,GAAGA,EAAE,IAAI,GAAGZ,CAAC,CAAC,EAAEU,EAAG,YAAY,SAASE,EAAEZ,EAAE,CAAC,OAAO,IAAIU,EAAGE,EAAE,IAAI,GAAGA,EAAE,IAAI,GAAGA,EAAE,IAAI,EAAEA,EAAE,GAAGA,EAAE,IAAI,GAAGA,EAAE,IAAI,GAAGA,EAAE,IAAI,EAAEA,EAAE,GAAGZ,CAAC,CAAC,CAAC,CAAC,EAAM+C,GAAG9C,GAAG,IAAI,CAAC,CAAC,EAAM+C,GAAG/C,GAAG,IAAI,CAAC,CAAC,EAAMgD,GAAGhD,GAAG,CAACiD,EAAGC,IAAK,EAAE,SAASrD,EAAEc,EAAEZ,EAAE,CAAC,SAASI,EAAE2B,EAAE,CAAC,IAAIC,EAAE,KAAKC,EAAEH,EAAE,EAAEE,EAAE,KAAK,UAAU,CAAC,IAAI,EAAE,QAAQA,EAAE,GAAGA,EAAE,EAAE,sBAAsB,OAAOA,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAG,GAAGA,EAAE,EAAE,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,GAAGC,EAAE,GAAG,EAAED,EAAE,GAAGC,EAAE,GAAG,EAAED,EAAE,GAAGC,EAAE,GAAG,EAAED,EAAE,IAAIC,EAAEF,CAAC,EAAEC,EAAE,GAAG,IAAIA,EAAE,IAAI,GAAGA,EAAE,IAAIC,EAAEF,CAAC,EAAEC,EAAE,GAAG,IAAIA,EAAE,IAAI,GAAGA,EAAE,IAAIC,EAAEF,CAAC,EAAEC,EAAE,GAAG,IAAIA,EAAE,IAAI,GAAGC,EAAE,IAAI,CAAC,SAAS5B,EAAE0B,EAAEC,EAAE,CAAC,OAAOA,EAAE,EAAED,EAAE,EAAEC,EAAE,GAAGD,EAAE,GAAGC,EAAE,GAAGD,EAAE,GAAGC,EAAE,GAAGD,EAAE,GAAGC,CAAC,CAAC,SAASH,EAAEE,EAAEC,EAAE,CAAC,IAAIC,EAAE,IAAI7B,EAAE2B,CAAC,EAAE,EAAEC,GAAGA,EAAE,MAAMW,EAAEV,EAAE,KAAK,OAAOU,EAAE,MAAM,UAAU,CAAC,OAAOV,EAAE,KAAK,EAAE,WAAW,CAAC,EAAEU,EAAE,OAAO,UAAU,CAAC,OAAOA,EAAE,GAAGA,EAAE,EAAE,QAAQ,GAAG,qBAAqB,EAAEA,EAAE,MAAMA,EAAE,IAAI,OAAO,GAAG,UAAUtC,EAAE,EAAE4B,CAAC,EAAEU,EAAE,MAAM,UAAU,CAAC,OAAOtC,EAAE4B,EAAE,CAAC,CAAC,CAAC,GAAGU,CAAC,CAAC,SAASb,GAAG,CAAC,IAAIC,EAAE,WAAWC,EAAE,SAASC,EAAE,CAACA,EAAE,OAAOA,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,IAAI,CAACF,GAAGE,EAAE,WAAW,CAAC,EAAE,IAAIU,EAAE,mBAAmBZ,EAAEA,EAAEY,IAAI,EAAEA,GAAGZ,EAAEY,GAAGZ,EAAEA,EAAEY,IAAI,EAAEA,GAAGZ,EAAEA,GAAGY,EAAE,UAAU,CAAC,OAAOZ,IAAI,GAAG,qBAAqB,EAAE,OAAOC,CAAC,CAACpB,GAAGA,EAAE,QAAQA,EAAE,QAAQiB,EAAE7B,GAAGA,EAAE,IAAIA,EAAE,UAAU,CAAC,OAAO6B,CAAC,CAAC,EAAE,KAAK,KAAKA,CAAC,GAAGqB,EAAG,OAAOC,GAAI,UAAUA,EAAG,OAAO,QAAQ,YAAY,MAAM,CAAC,CAAC,EAAMC,GAAGnD,GAAG,CAACoD,EAAGC,IAAK,EAAE,SAASxD,EAAEc,EAAEZ,EAAE,CAAC,SAASI,EAAE0B,EAAE,CAAC,IAAIC,EAAE,KAAKC,EAAE,GAAGD,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,KAAK,UAAU,CAAC,IAAI,EAAEA,EAAE,EAAEA,EAAE,GAAG,GAAG,OAAOA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGA,EAAE,IAAI,GAAG,EAAE,IAAI,CAAC,EAAED,KAAKA,EAAE,GAAGC,EAAE,EAAED,EAAEE,GAAGF,EAAE,QAAQG,EAAE,EAAEA,EAAED,EAAE,OAAO,GAAGC,IAAIF,EAAE,GAAGC,EAAE,WAAWC,CAAC,EAAE,EAAEF,EAAE,KAAK,CAAC,CAAC,SAAS1B,EAAEyB,EAAEC,EAAE,CAAC,OAAOA,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,CAAC,CAAC,SAASF,EAAEC,EAAEC,EAAE,CAAC,IAAIC,EAAE,IAAI5B,EAAE0B,CAAC,EAAEG,EAAEF,GAAGA,EAAE,MAAM,EAAE,UAAU,CAAC,OAAOC,EAAE,KAAK,IAAI,GAAG,UAAU,EAAE,OAAO,EAAE,OAAO,UAAU,CAAC,EAAG,KAAIW,EAAEX,EAAE,KAAK,IAAI,GAAG,GAAGA,EAAE,KAAK,IAAI,GAAG,WAAW,GAAGW,EAAE,IAAI,GAAG,UAAU,IAAI,GAAG,OAAO,CAAC,EAAE,EAAE,MAAMX,EAAE,KAAK,EAAE,MAAM,EAAEC,IAAI,OAAOA,GAAG,UAAU5B,EAAE4B,EAAED,CAAC,EAAE,EAAE,MAAM,UAAU,CAAC,OAAO3B,EAAE2B,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,CAACpB,GAAGA,EAAE,QAAQA,EAAE,QAAQiB,EAAE7B,GAAGA,EAAE,IAAIA,EAAE,UAAU,CAAC,OAAO6B,CAAC,CAAC,EAAE,KAAK,OAAOA,CAAC,GAAGwB,EAAG,OAAOC,GAAI,UAAUA,EAAG,OAAO,QAAQ,YAAY,MAAM,CAAC,CAAC,EAAMC,GAAGtD,GAAG,CAACuD,EAAGC,IAAK,EAAE,SAAS3D,EAAEc,EAAEZ,EAAE,CAAC,SAASI,EAAE0B,EAAE,CAAC,IAAIC,EAAE,KAAKC,EAAE,GAAGD,EAAE,KAAK,UAAU,CAAC,IAAI,EAAEA,EAAE,EAAEA,EAAE,IAAI,EAAE,OAAOA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGA,EAAE,EAAEA,EAAE,EAAE,OAAO,IAAIA,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAG,GAAG,EAAE,GAAG,IAAI,CAAC,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAED,KAAKA,EAAE,GAAGC,EAAE,EAAED,EAAEE,GAAGF,EAAE,QAAQG,EAAE,EAAEA,EAAED,EAAE,OAAO,GAAGC,IAAIF,EAAE,GAAGC,EAAE,WAAWC,CAAC,EAAE,EAAEA,GAAGD,EAAE,SAASD,EAAE,EAAEA,EAAE,GAAG,GAAGA,EAAE,IAAI,GAAGA,EAAE,KAAK,CAAC,CAAC,SAAS1B,EAAEyB,EAAEC,EAAE,CAAC,OAAOA,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,CAAC,CAAC,SAASF,EAAEC,EAAEC,EAAE,CAAC,IAAIC,EAAE,IAAI5B,EAAE0B,CAAC,EAAEG,EAAEF,GAAGA,EAAE,MAAM,EAAE,UAAU,CAAC,OAAOC,EAAE,KAAK,IAAI,GAAG,UAAU,EAAE,OAAO,EAAE,OAAO,UAAU,CAAC,EAAG,KAAIW,EAAEX,EAAE,KAAK,IAAI,GAAG,GAAGA,EAAE,KAAK,IAAI,GAAG,WAAW,GAAGW,EAAE,IAAI,GAAG,UAAU,IAAI,GAAG,OAAO,CAAC,EAAE,EAAE,MAAMX,EAAE,KAAK,EAAE,MAAM,EAAEC,IAAI,OAAOA,GAAG,UAAU5B,EAAE4B,EAAED,CAAC,EAAE,EAAE,MAAM,UAAU,CAAC,OAAO3B,EAAE2B,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,CAACpB,GAAGA,EAAE,QAAQA,EAAE,QAAQiB,EAAE7B,GAAGA,EAAE,IAAIA,EAAE,UAAU,CAAC,OAAO6B,CAAC,CAAC,EAAE,KAAK,OAAOA,CAAC,GAAG2B,EAAG,OAAOC,GAAI,UAAUA,EAAG,OAAO,QAAQ,YAAY,MAAM,CAAC,CAAC,EAAMC,GAAGzD,GAAG,CAAC0D,EAAGC,IAAK,EAAE,SAAS9D,EAAEc,EAAEZ,EAAE,CAAC,SAASI,EAAE0B,EAAE,CAAC,IAAIC,EAAE,KAAKA,EAAE,KAAK,UAAU,CAAC,IAAIE,EAAEF,EAAE,EAAE,EAAEA,EAAE,EAAEY,EAAE,EAAE,EAAE,OAAOA,EAAEV,EAAE,GAAGU,GAAGA,IAAI,EAAE,EAAEA,EAAEA,GAAG,GAAGA,EAAEV,EAAE,EAAE,EAAE,GAAG,GAAGU,EAAEA,IAAI,GAAGA,EAAEV,EAAE,EAAE,EAAE,GAAG,GAAGU,EAAEA,IAAI,EAAEA,EAAEV,EAAE,EAAE,EAAE,GAAG,GAAGU,EAAEA,GAAG,EAAEA,EAAEV,EAAE,EAAE,EAAE,GAAGU,EAAEA,EAAEA,GAAG,GAAG,GAAGA,EAAEA,GAAG,EAAEV,EAAE,GAAG,EAAEF,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC,EAAE,SAASC,EAAEC,EAAE,EAAE,CAAC,IAAIU,EAAE,EAAE,EAAE,CAAC,EAAE,GAAG,KAAK,EAAE,GAAG,EAAE,EAAE,GAAG,MAAO,KAAI,EAAE,GAAG,EAAEA,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,EAAEA,EAAE,GAAG,EAAEA,EAAE,IAAI,GAAG,EAAE,WAAWA,CAAC,EAAE,EAAEA,EAAE,EAAE,IAAI,GAAG,KAAK,EAAE,OAAO,GAAG,EAAE,KAAK,CAAC,EAAE,IAAIA,EAAE,EAAEA,EAAE,GAAG,EAAEA,KAAK,EAAE,EAAEA,EAAE,CAAC,IAAIA,GAAG,EAAE,EAAE,EAAE,GAAG,GAAG,EAAE,EAAEA,GAAGV,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEU,EAAE,IAAIA,EAAE,EAAE,EAAEA,EAAEV,EAAE,KAAK,CAAC,CAACD,EAAED,EAAED,CAAC,CAAC,CAAC,SAASzB,EAAEyB,EAAEC,EAAE,CAAC,OAAOA,EAAE,EAAED,EAAE,EAAE,MAAM,EAAEC,EAAE,EAAED,EAAE,EAAEC,CAAC,CAAC,SAASF,EAAEC,EAAEC,EAAE,CAACD,GAAG,OAAOA,EAAE,CAAC,IAAI,MAAM,IAAIE,EAAE,IAAI5B,EAAE0B,CAAC,EAAEG,EAAEF,GAAGA,EAAE,MAAM,EAAE,UAAU,CAAC,OAAOC,EAAE,KAAK,IAAI,GAAG,UAAU,EAAE,OAAO,EAAE,OAAO,UAAU,CAAC,EAAG,KAAIW,EAAEX,EAAE,KAAK,IAAI,GAAG,GAAGA,EAAE,KAAK,IAAI,GAAG,WAAW,GAAGW,EAAE,IAAI,GAAG,UAAU,IAAI,GAAG,OAAO,CAAC,EAAE,EAAE,MAAMX,EAAE,KAAK,EAAE,MAAM,EAAEC,IAAIA,EAAE,GAAG5B,EAAE4B,EAAED,CAAC,EAAE,EAAE,MAAM,UAAU,CAAC,OAAO3B,EAAE2B,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,CAACpB,GAAGA,EAAE,QAAQA,EAAE,QAAQiB,EAAE7B,GAAGA,EAAE,IAAIA,EAAE,UAAU,CAAC,OAAO6B,CAAC,CAAC,EAAE,KAAK,UAAUA,CAAC,GAAG8B,EAAG,OAAOC,GAAI,UAAUA,EAAG,OAAO,QAAQ,YAAY,MAAM,CAAC,CAAC,EAAMC,GAAG5D,GAAG,CAAC6D,EAAGC,IAAK,EAAE,SAASjE,EAAEc,EAAEZ,EAAE,CAAC,SAASI,EAAE0B,EAAE,CAAC,IAAIC,EAAE,KAAKA,EAAE,KAAK,UAAU,CAAC,IAAIE,EAAEF,EAAE,EAAE,EAAEA,EAAE,EAAEY,EAAEZ,EAAE,EAAE,EAAE,EAAE,OAAOA,EAAE,EAAEE,EAAEA,EAAE,WAAW,EAAE,EAAE,EAAEU,EAAE,GAAG,KAAK,EAAE,EAAEA,EAAEA,EAAE,EAAE,KAAK,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,IAAI,GAAG,GAAG,IAAI,GAAG,EAAE,EAAEA,GAAG,EAAE,EAAEZ,EAAE,EAAEY,EAAE,GAAGV,EAAEA,IAAI,IAAI,CAAC,EAAE,SAASD,EAAEC,EAAE,EAAE,CAAC,IAAIU,EAAE,EAAE,EAAEG,EAAEkB,EAAEC,EAAE,CAAC,EAAE,EAAE,IAAI,IAAI,KAAK,EAAE,IAAI,EAAE,EAAE,EAAE,OAAO,EAAE,EAAE,KAAK,EAAE,EAAE,EAAE,KAAK,IAAI,EAAE,EAAE,MAAM,GAAG,EAAE,EAAEnB,EAAE,IAAIA,EAAE,EAAE,EAAEA,EAAE,IAAI,GAAG,EAAE,YAAYA,EAAE,IAAI,EAAE,MAAM,GAAGA,IAAI,IAAIkB,EAAE,GAAG,GAAG,GAAG,GAAG,GAAG,IAAI,GAAG,GAAG,GAAG,EAAE,GAAG,IAAI,GAAGlB,GAAG,IAAIkB,EAAEA,EAAE,WAAW,EAAErB,EAAEsB,EAAEnB,EAAE,MAAM,EAAEkB,EAAE,EAAErB,GAAG,EAAE,EAAE,EAAE,GAAG,IAAI,GAAG,MAAMsB,GAAG,GAAG,EAAE,QAAQ,GAAG,KAAK,IAAI,EAAE,IAAInB,EAAE,EAAE,IAAIA,EAAE,EAAE,EAAEA,EAAE,EAAEmB,EAAE,EAAE,GAAG,KAAKtB,EAAEsB,EAAE,EAAE,EAAE,EAAE,KAAK,GAAG,GAAG,GAAGtB,GAAGA,GAAG,GAAG,GAAG,IAAI,GAAGA,GAAGA,IAAI,GAAGsB,EAAE,GAAG,EAAEtB,EAAEV,EAAE,EAAE+B,EAAE/B,EAAE,EAAEgC,EAAEhC,EAAE,EAAE,CAAC,CAACD,EAAED,EAAED,CAAC,CAAC,CAAC,SAASzB,EAAEyB,EAAEC,EAAE,CAAC,OAAOA,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAE,MAAM,EAAEC,CAAC,CAAC,SAASF,EAAEC,EAAEC,EAAE,CAACD,GAAG,OAAOA,EAAE,CAAC,IAAI,MAAM,IAAIE,EAAE,IAAI5B,EAAE0B,CAAC,EAAEG,EAAEF,GAAGA,EAAE,MAAM,EAAE,UAAU,CAAC,OAAOC,EAAE,KAAK,IAAI,GAAG,UAAU,EAAE,OAAO,EAAE,OAAO,UAAU,CAAC,EAAG,KAAIW,EAAEX,EAAE,KAAK,IAAI,GAAG,GAAGA,EAAE,KAAK,IAAI,GAAG,WAAW,GAAGW,EAAE,IAAI,GAAG,UAAU,IAAI,GAAG,OAAO,CAAC,EAAE,EAAE,MAAMX,EAAE,KAAK,EAAE,MAAM,EAAEC,IAAIA,EAAE,GAAG5B,EAAE4B,EAAED,CAAC,EAAE,EAAE,MAAM,UAAU,CAAC,OAAO3B,EAAE2B,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,CAACpB,GAAGA,EAAE,QAAQA,EAAE,QAAQiB,EAAE7B,GAAGA,EAAE,IAAIA,EAAE,UAAU,CAAC,OAAO6B,CAAC,CAAC,EAAE,KAAK,QAAQA,CAAC,GAAGiC,EAAG,OAAOC,GAAI,UAAUA,EAAG,OAAO,QAAQ,YAAY,MAAM,CAAC,CAAC,EAAMG,GAAGjE,GAAG,CAACkE,EAAGC,IAAK,EAAE,SAAStE,EAAEc,EAAEZ,EAAE,CAAC,SAASI,EAAE0B,EAAE,CAAC,IAAIC,EAAE,KAAKC,EAAE,GAAGD,EAAE,KAAK,UAAU,CAAC,IAAI,EAAEA,EAAE,EAAEY,EAAEZ,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAE,GAAG,GAAG,IAAI,EAAEY,EAAEA,EAAEA,EAAE,EAAE,EAAE,EAAE,GAAG,GAAG,IAAI,EAAE,EAAE,EAAE,EAAE,EAAE,EAAEZ,EAAE,EAAE,EAAE,GAAG,GAAG,IAAI,GAAGY,EAAEZ,EAAE,EAAEY,EAAEA,EAAE,EAAE,EAAEZ,EAAE,EAAE,GAAG,GAAGY,IAAI,GAAG,EAAEZ,EAAE,EAAE,EAAE,EAAE,CAAC,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,YAAYA,EAAE,EAAE,WAAWD,IAAI,KAAK,MAAMA,CAAC,GAAGC,EAAE,EAAED,EAAE,WAAW,EAAEC,EAAE,EAAED,EAAE,GAAGE,GAAGF,EAAE,QAAQG,EAAE,EAAEA,EAAED,EAAE,OAAO,GAAGC,IAAIF,EAAE,GAAGC,EAAE,WAAWC,CAAC,EAAE,EAAEF,EAAE,KAAK,CAAC,CAAC,SAAS1B,EAAEyB,EAAEC,EAAE,CAAC,OAAOA,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,CAAC,CAAC,SAASF,EAAEC,EAAEC,EAAE,CAAC,IAAIC,EAAE,IAAI5B,EAAE0B,CAAC,EAAEG,EAAEF,GAAGA,EAAE,MAAM,EAAE,UAAU,CAAC,OAAOC,EAAE,KAAK,IAAI,GAAG,UAAU,EAAE,OAAO,EAAE,OAAO,UAAU,CAAC,EAAG,KAAIW,EAAEX,EAAE,KAAK,IAAI,GAAG,GAAGA,EAAE,KAAK,IAAI,GAAG,WAAW,GAAGW,EAAE,IAAI,GAAG,UAAU,IAAI,GAAG,OAAO,CAAC,EAAE,EAAE,MAAMX,EAAE,KAAK,EAAE,MAAM,EAAEC,IAAI,OAAOA,GAAG,UAAU5B,EAAE4B,EAAED,CAAC,EAAE,EAAE,MAAM,UAAU,CAAC,OAAO3B,EAAE2B,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,CAACpB,GAAGA,EAAE,QAAQA,EAAE,QAAQiB,EAAE7B,GAAGA,EAAE,IAAIA,EAAE,UAAU,CAAC,OAAO6B,CAAC,CAAC,EAAE,KAAK,OAAOA,CAAC,GAAGsC,EAAG,OAAOC,GAAI,UAAUA,EAAG,OAAO,QAAQ,YAAY,MAAM,CAAC,CAAC,EAAMC,GAAGpE,GAAG,IAAI,CAAC,CAAC,EAAMqE,GAAGrE,GAAG,CAACsE,EAAGC,IAAK,EAAE,SAAS1E,EAAEc,EAAEZ,EAAE,CAAC,IAAII,EAAE,IAAIC,EAAE,EAAEwB,EAAE,GAAGC,EAAE,SAASC,EAAE/B,EAAE,IAAII,EAAEC,CAAC,EAAE2B,EAAEhC,EAAE,IAAI,EAAE6B,CAAC,EAAEI,EAAED,EAAE,EAAE,EAAE5B,EAAE,EAAEuC,EAAE,SAAS,EAAE8B,EAAEC,EAAEC,EAAE,CAAC,IAAIC,EAAE,CAAC,EAAEF,EAAEA,GAAG,GAAG,CAAC,QAAQ,EAAE,EAAEA,GAAG,CAAC,EAAE,IAAI,EAAET,EAAED,EAAEU,EAAE,QAAQ,CAACD,EAAEI,EAAEjE,CAAC,CAAC,EAAE6D,GAAG,KAAK,EAAE,EAAEA,EAAE,CAAC,EAAEG,CAAC,EAAEE,EAAE,IAAI,EAAEF,CAAC,EAAE,EAAE,UAAU,CAAC,QAAQG,EAAED,EAAE,EAAEzE,CAAC,EAAE2E,EAAEjD,EAAEkD,EAAE,EAAEF,EAAE/C,GAAG+C,GAAGA,EAAEE,GAAG7E,EAAE4E,GAAG5E,EAAE6E,EAAEH,EAAE,EAAE,CAAC,EAAE,KAAKC,GAAG9C,GAAG8C,GAAG,EAAEC,GAAG,EAAEC,KAAK,EAAE,OAAOF,EAAEE,GAAGD,CAAC,EAAE,OAAO,EAAE,MAAM,UAAU,CAAC,OAAOF,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,MAAM,UAAU,CAAC,OAAOA,EAAE,EAAE,CAAC,EAAE,UAAU,EAAE,EAAE,OAAO,EAAEb,EAAEY,EAAEC,EAAE,CAAC,EAAElE,CAAC,GAAG8D,EAAE,MAAMC,GAAG,SAASI,EAAEC,EAAEC,EAAEC,EAAE,CAAC,OAAOA,IAAIA,EAAE,GAAGpC,EAAEoC,EAAEJ,CAAC,EAAEC,EAAE,MAAM,UAAU,CAAC,OAAOjC,EAAEgC,EAAE,CAAC,CAAC,CAAC,GAAGG,GAAGjF,EAAE8B,GAAGiD,EAAEC,GAAGD,CAAC,GAAG,EAAE,EAAE,WAAWL,EAAEA,EAAE,OAAO,MAAM1E,EAAE0E,EAAE,KAAK,CAAC,CAAC,SAAS,EAAED,EAAE,CAAC,IAAIC,EAAEC,EAAEF,EAAE,OAAOG,EAAE,KAAK,EAAE,EAAEE,EAAEF,EAAE,EAAEA,EAAE,EAAE,EAAE,EAAEA,EAAE,EAAE,CAAC,EAAE,IAAID,IAAIF,EAAE,CAACE,GAAG,GAAG,EAAEvE,GAAG,EAAE,GAAG,IAAI,IAAI,EAAE,EAAE,EAAEA,EAAE,IAAI,EAAE,GAAG,EAAE0E,EAAE,EAAEA,EAAEL,EAAE,EAAEE,IAAID,EAAE,EAAE,KAAK,EAAEI,GAAGJ,GAAGE,EAAE,EAAE,SAASG,EAAE,CAAC,QAAQC,EAAEC,EAAE,EAAEC,EAAEN,EAAE,EAAEO,EAAEP,EAAE,EAAEQ,EAAER,EAAE,EAAEG,KAAKC,EAAEI,EAAEF,EAAE,EAAEA,EAAE,GAAGD,EAAEA,EAAE7E,EAAEgF,EAAE,GAAGA,EAAEF,GAAGE,EAAED,EAAE,EAAEA,EAAEH,KAAKI,EAAED,GAAGH,IAAI,OAAOJ,EAAE,EAAEM,EAAEN,EAAE,EAAEO,EAAEF,CAAC,GAAG7E,CAAC,CAAC,CAAC,SAAS0C,EAAE2B,EAAEC,EAAE,CAAC,OAAOA,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAE,MAAM,EAAEC,CAAC,CAAC,SAASV,EAAES,EAAEC,EAAE,CAAC,IAAIC,EAAE,CAAC,EAAEC,EAAE,OAAOH,EAAE,EAAE,GAAGC,GAAGE,GAAG,SAAS,IAAI,KAAKH,EAAE,GAAG,CAACE,EAAE,KAAKX,EAAES,EAAE,GAAGC,EAAE,CAAC,CAAC,CAAC,OAAOI,EAAN,CAAS,CAAC,OAAOH,EAAE,OAAOA,EAAEC,GAAG,SAASH,EAAEA,EAAE,IAAI,CAAC,SAASR,EAAEQ,EAAEC,EAAE,CAAC,QAAQC,EAAEF,EAAE,GAAGG,EAAE,EAAE,EAAE,EAAED,EAAE,QAAQD,EAAE,EAAE,GAAG,GAAGE,GAAGF,EAAE,EAAE,GAAG,IAAIC,EAAE,WAAW,GAAG,EAAE,OAAOE,EAAEH,CAAC,CAAC,CAAC,SAAS,GAAG,CAAC,GAAG,CAAC,IAAID,EAAE,OAAO9B,IAAI8B,EAAE9B,EAAE,aAAa8B,EAAEA,EAAErE,CAAC,GAAGqE,EAAE,IAAI,WAAWrE,CAAC,GAAGN,EAAE,QAAQA,EAAE,UAAU,gBAAgB2E,CAAC,GAAGI,EAAEJ,CAAC,CAAC,OAAOG,EAAN,CAAS,IAAIF,EAAE5E,EAAE,UAAU6E,EAAED,GAAGA,EAAE,QAAQ,MAAM,CAAC,CAAC,IAAI,KAAK5E,EAAE6E,EAAE7E,EAAE,OAAO+E,EAAEjE,CAAC,CAAC,CAAC,CAAC,CAAC,SAASiE,EAAEJ,EAAE,CAAC,OAAO,OAAO,aAAa,MAAM,EAAEA,CAAC,CAAC,CAAC,GAAGR,EAAEjE,EAAE,OAAO,EAAEY,CAAC,EAAE,OAAO4D,GAAI,UAAUA,EAAG,QAAQ,CAACA,EAAG,QAAQ,EAAE,GAAG,CAAC7B,EAAE0B,GAAG,CAAC,OAAOI,EAAN,CAAS,CAAC,MAAM,OAAO,QAAQ,YAAY,OAAO,IAAI,OAAO,UAAU,CAAC,OAAO,CAAC,CAAC,EAAEzE,EAAE,OAAO8B,GAAG,CAAC,GAAG,OAAO,MAAM,YAAY,KAAKyC,EAAG,CAAC,EAAE,IAAI,CAAC,CAAC,EAAMc,GAAGpF,GAAG,CAACqF,EAAIC,IAAK,CAAC,IAAIC,EAAGvC,GAAG,EAAEwC,EAAGrC,GAAG,EAAEsC,EAAGnC,GAAG,EAAEoC,EAAGjC,GAAG,EAAEkC,EAAG/B,GAAG,EAAEgC,EAAG3B,GAAG,EAAE4B,EAAGxB,GAAG,EAAEwB,EAAG,KAAKN,EAAGM,EAAG,OAAOL,EAAGK,EAAG,OAAOJ,EAAGI,EAAG,UAAUH,EAAGG,EAAG,QAAQF,EAAGE,EAAG,OAAOD,EAAGN,EAAG,QAAQO,CAAE,CAAC,EAAMC,GAAG9F,GAAG,IAAI,CAAC,CAAC,EAAM+F,GAAG/F,GAAG,IAAI,CAAC,CAAC,EAAMgG,GAAGhG,GAAG,IAAI,CAAC,CAAC,EAAMiG,GAAGjG,GAAG,IAAI,CAAC,CAAC,EAAMkG,GAAGlG,GAAG,IAAI,CAAC,CAAC,EAAMmG,GAAGnG,GAAG,IAAI,CAAC,CAAC,EAAMoG,GAAGpG,GAAG,CAACqG,EAAGC,IAAK,CAAC,IAAIC,GAAI,IAAI,CAAC,IAAI1G,EAAE,OAAO,UAAU,aAAa,SAAS,cAAc,SAAS,cAAc,IAAI,OAAO,OAAO,OAAO,YAAY,cAAcA,EAAEA,GAAG,YAAY,SAASc,EAAE,CAACA,EAAEA,GAAG,CAAC,EAAE,SAASZ,GAAG,CAAC,OAAOyG,GAAG,QAAQC,IAAIC,GAAGF,GAAG,MAAM,EAAEG,EAAE,CAAC,SAASxG,GAAG,CAAC,OAAOqG,GAAG,QAAQC,IAAIC,GAAGF,GAAG,MAAM,EAAEI,EAAE,CAAC,SAAS,GAAG,CAAC,OAAOJ,GAAG,QAAQC,IAAIC,GAAGF,GAAG,MAAM,EAAEK,EAAE,CAAC,SAASjF,GAAG,CAAC,OAAO4E,GAAG,QAAQC,IAAIC,GAAGF,GAAG,MAAM,EAAEM,EAAE,CAAC,SAASjF,GAAG,CAAC,OAAO2E,GAAG,QAAQC,IAAIC,GAAGF,GAAG,MAAM,EAAEO,EAAE,CAAC,SAASjF,GAAG,CAAC,OAAO0E,GAAG,QAAQC,IAAIC,GAAGF,GAAG,MAAM,EAAEQ,EAAE,CAAC,SAASjF,GAAG,CAAC,OAAOyE,GAAG,QAAQC,IAAIC,GAAGF,GAAG,MAAM,EAAES,EAAE,CAAC,IAAIjF,EAAE,OAAOrB,GAAG,YAAYA,EAAE,CAAC,EAAE8B,EAAEC,EAAEV,EAAE,MAAM,IAAI,QAAQ,SAASkF,EAAEC,EAAE,CAAC1E,EAAEyE,EAAExE,EAAEyE,CAAC,CAAC,EAAE,IAAIxE,EAAE,OAAO,SAAS,aAAa,QAAQ,YAAYA,EAAE,CAAC,kBAAkB,QAAQ,UAAU,mBAAmB,EAAE,mBAAmB,QAAQ,UAAU,oBAAoB,CAAC,GAAG,IAAIC,EAAE,OAAO,OAAO,CAAC,EAAEZ,CAAC,EAAEa,EAAE,CAAC,EAAEkB,EAAE,iBAAiBC,EAAE,CAACkD,EAAEC,IAAI,CAAC,MAAMA,CAAC,EAAEC,EAAE,OAAO,QAAQ,SAASxC,EAAE,OAAO,eAAe,WAAWJ,EAAE,OAAO,SAAS,UAAU,OAAO,QAAQ,UAAU,UAAU,OAAO,QAAQ,SAAS,MAAM,SAAS,EAAExC,EAAE,wBAAwB,GAAG0C,EAAE,GAAG,SAASC,EAAEuC,EAAE,CAAC,OAAOlF,EAAE,WAAWA,EAAE,WAAWkF,EAAExC,CAAC,EAAEA,EAAEwC,CAAC,CAAC,IAAIG,EAAExC,EAAEyC,EAAExC,EAAE,SAASC,EAAEmC,EAAE,CAAIA,aAAaK,IAAUC,EAAE,6BAA6BN,CAAC,CAAC,CAAC,GAAG1C,EAAE,CAACI,EAAEF,EAAEsB,GAAG,EAAE,QAAQtB,CAAC,EAAE,IAAIA,EAAE,UAAU,IAAI,IAAIM,EAAEC,EAAE,OAAOrF,IAAI,aAAaoF,EAAEe,GAAG,EAAEd,EAAEe,GAAG,GAAGqB,EAAE,CAACF,EAAEM,MAAMN,EAAElC,EAAE,UAAUkC,CAAC,EAAEnC,EAAE,aAAamC,EAAEM,GAAG,OAAO,MAAM,GAAGH,EAAEH,GAAG,CAAC,IAAIM,GAAGJ,EAAEF,EAAE,EAAE,EAAE,OAAOM,GAAG,SAASA,GAAG,IAAI,WAAWA,EAAE,GAAGA,EAAE,EAAE5C,EAAE,CAACsC,EAAEM,GAAGC,KAAK,CAACP,EAAElC,EAAE,UAAUkC,CAAC,EAAEnC,EAAE,SAASmC,EAAE,SAASQ,GAAGC,GAAG,CAACD,GAAGD,GAAGC,EAAE,EAAEF,GAAGG,GAAG,MAAM,CAAC,CAAC,CAAC,EAAE,QAAQ,KAAK,OAAO,IAAI7D,EAAE,QAAQ,KAAK,GAAG,QAAQ,MAAM,GAAG,GAAGlB,EAAE,QAAQ,KAAK,MAAM,CAAC,EAAE,QAAQ,GAAG,oBAAoB,SAASsE,EAAE,CAAC,GAAG,EAAEA,aAAaI,IAAI,MAAMJ,CAAC,CAAC,EAAE,QAAQ,GAAG,qBAAqB,SAASA,EAAE,CAAC,MAAMA,CAAC,CAAC,EAAEnD,EAAE,CAACmD,EAAEM,KAAK,CAAC,GAAGI,GAAG,EAAE,MAAM,QAAQ,SAASV,EAAEM,GAAG1C,EAAE0C,EAAE,EAAE,QAAQ,KAAKN,CAAC,CAAC,EAAEnF,EAAE,QAAQ,UAAU,CAAC,MAAM,4BAA4B,EAAE,IAAIkF,EAAE,GAAG,CAACA,EAAEjB,GAAG,CAAC,OAAOkB,EAAN,CAAS,MAAM,QAAQ,MAAM,yGAAyG,EAAEA,CAAC,CAAC,OAAO,OAAOD,EAAE,MAAM,MAAME,GAAGxC,KAAKA,EAAEF,EAAE,KAAK,SAAS,KAAK,OAAO,UAAU,aAAa,SAAS,gBAAgBA,EAAE,SAAS,cAAc,KAAK,OAAO7E,GAAG,aAAaA,IAAI6E,EAAE7E,GAAG6E,EAAE,QAAQ,OAAO,IAAI,EAAEA,EAAEA,EAAE,OAAO,EAAEA,EAAE,QAAQ,SAAS,EAAE,EAAE,YAAY,GAAG,EAAE,CAAC,EAAEA,EAAE,GAAGF,IAAI6C,EAAEH,GAAG,CAAC,IAAIC,EAAE,IAAI,eAAe,OAAOA,EAAE,KAAK,MAAMD,EAAE,EAAE,EAAEC,EAAE,KAAK,IAAI,EAAEA,EAAE,YAAY,EAAEvC,IAAI0C,EAAEJ,GAAG,CAAC,IAAIC,EAAE,IAAI,eAAe,OAAOA,EAAE,KAAK,MAAMD,EAAE,EAAE,EAAEC,EAAE,aAAa,cAAcA,EAAE,KAAK,IAAI,EAAE,IAAI,WAAWA,EAAE,QAAQ,CAAC,GAAGtC,EAAE,CAACqC,EAAEC,EAAEM,KAAK,CAAC,IAAIC,GAAG,IAAI,eAAeA,GAAG,KAAK,MAAMR,EAAE,EAAE,EAAEQ,GAAG,aAAa,cAAcA,GAAG,OAAO,IAAI,CAAC,GAAGA,GAAG,QAAQ,KAAKA,GAAG,QAAQ,GAAGA,GAAG,SAAS,CAACP,EAAEO,GAAG,QAAQ,EAAE,MAAM,CAACD,GAAG,CAAC,EAAEC,GAAG,QAAQD,GAAGC,GAAG,KAAK,IAAI,CAAC,GAAG5C,EAAEoC,GAAG,SAAS,MAAMA,GAAG1C,GAAG,OAAO,aAAa,cAAc,OAAO,YAAY0B,GAAG,EAAE,aAAa,IAAI,EAAE,QAAQ,IAAI,KAAK,OAAO,EAAEf,EAAE,QAAQ,KAAK,KAAK,OAAO,EAAEX,IAAI,EAAE0C,GAAGlC,EAAE,UAAU,EAAEkC,EAAE;AAAA,CAC94oB,EAAE/B,EAAE+B,GAAGlC,EAAE,UAAU,EAAEkC,EAAE;AAAA,CACvB,GAAG,IAAIY,EAAE9F,EAAE,OAAO,EAAEwF,EAAExF,EAAE,UAAUmD,EAAE,OAAO,OAAOnD,EAAEY,CAAC,EAAEA,EAAE,KAAKZ,EAAE,YAAYa,EAAEb,EAAE,WAAWA,EAAE,cAAc+B,EAAE/B,EAAE,aAAaA,EAAE,OAAOgC,EAAEhC,EAAE,MAAM,IAAI+F,GAAE,EAAEC,GAAG,QAAQ,KAAKC,GAAG,QAAQ,MAAMC,GAAG,QAAQ,gBAAgBC,GAAGnG,EAAE,aAAamG,GAAGnG,EAAE,YAAY,IAAIoG,GAAGpG,EAAE,eAAe,GAAG,OAAO,aAAa,UAAUqG,GAAG,iCAAiC,EAAE,IAAI7B,GAAG8B,GAAGC,GAAG,GAAGC,GAAG,SAASC,GAAGvB,EAAEC,EAAE,CAACD,GAAGmB,GAAGlB,CAAC,CAAC,CAAC,IAAIuB,GAAG,OAAO,aAAa,YAAY,IAAI,YAAY,MAAM,EAAE,OAAO,SAASC,GAAGzB,EAAEC,EAAEM,GAAG,CAAC,QAAQC,GAAGP,EAAEM,GAAGE,GAAGR,EAAED,EAAES,KAAK,EAAEA,IAAID,KAAK,EAAEC,GAAG,GAAGA,GAAGR,EAAE,IAAID,EAAE,QAAQwB,GAAG,OAAOA,GAAG,OAAOxB,EAAE,kBAAkB,kBAAkBA,EAAE,MAAMC,EAAEQ,EAAE,EAAET,EAAE,SAASC,EAAEQ,EAAE,CAAC,EAAE,QAAQC,GAAG,GAAGT,EAAEQ,IAAI,CAAC,IAAIiB,GAAG1B,EAAEC,KAAK,GAAG,EAAEyB,GAAG,KAAK,CAAChB,IAAI,OAAO,aAAagB,EAAE,EAAE,QAAQ,CAAC,IAAIC,GAAG3B,EAAEC,KAAK,GAAG,IAAIyB,GAAG,MAAM,IAAI,CAAChB,IAAI,OAAO,cAAcgB,GAAG,KAAK,EAAEC,EAAE,EAAE,QAAQ,CAAC,IAAIC,GAAG5B,EAAEC,KAAK,GAAG,IAAIyB,GAAG,MAAM,IAAIA,IAAIA,GAAG,KAAK,GAAGC,IAAI,EAAEC,GAAGF,IAAIA,GAAG,IAAI,GAAGC,IAAI,GAAGC,IAAI,EAAE5B,EAAEC,KAAK,GAAGyB,GAAG,MAAMhB,IAAI,OAAO,aAAagB,EAAE,MAAM,CAAC,IAAIG,GAAGH,GAAG,MAAMhB,IAAI,OAAO,aAAa,MAAMmB,IAAI,GAAG,MAAMA,GAAG,IAAI,CAAC,CAAC,CAAC,OAAOnB,EAAE,CAAC,SAASoB,GAAG9B,EAAEC,EAAE,CAAC,OAAOD,EAAEyB,GAAGxI,EAAE,EAAE+G,EAAEC,CAAC,EAAE,EAAE,CAAC,SAAS8B,GAAG/B,EAAEC,EAAEM,GAAGC,GAAG,CAAC,GAAG,EAAEA,GAAG,GAAG,MAAO,GAAE,QAAQC,GAAGF,GAAGG,GAAGH,GAAGC,GAAG,EAAEkB,GAAG,EAAEA,GAAG1B,EAAE,OAAO,EAAE0B,GAAG,CAAC,IAAIC,GAAG3B,EAAE,WAAW0B,EAAE,EAAE,GAAGC,IAAI,OAAOA,IAAI,MAAM,CAAC,IAAIC,GAAG5B,EAAE,WAAW,EAAE0B,EAAE,EAAEC,GAAG,QAAQA,GAAG,OAAO,IAAIC,GAAG,IAAI,CAAC,GAAGD,IAAI,IAAI,CAAC,GAAGpB,IAAIG,GAAG,MAAMT,EAAEM,MAAMoB,EAAE,SAASA,IAAI,KAAK,CAAC,GAAGpB,GAAG,GAAGG,GAAG,MAAMT,EAAEM,MAAM,IAAIoB,IAAI,EAAE1B,EAAEM,MAAM,IAAIoB,GAAG,EAAE,SAASA,IAAI,MAAM,CAAC,GAAGpB,GAAG,GAAGG,GAAG,MAAMT,EAAEM,MAAM,IAAIoB,IAAI,GAAG1B,EAAEM,MAAM,IAAIoB,IAAI,EAAE,GAAG1B,EAAEM,MAAM,IAAIoB,GAAG,EAAE,KAAK,CAAC,GAAGpB,GAAG,GAAGG,GAAG,MAAMT,EAAEM,MAAM,IAAIoB,IAAI,GAAG1B,EAAEM,MAAM,IAAIoB,IAAI,GAAG,GAAG1B,EAAEM,MAAM,IAAIoB,IAAI,EAAE,GAAG1B,EAAEM,MAAM,IAAIoB,GAAG,EAAE,CAAC,CAAC,OAAO1B,EAAEM,IAAI,EAAEA,GAAGE,EAAE,CAAC,SAASuB,GAAGhC,EAAEC,EAAEM,GAAG,CAAC,OAAOwB,GAAG/B,EAAE/G,EAAE,EAAEgH,EAAEM,EAAE,CAAC,CAAC,IAAIhB,GAAGE,GAAGC,GAAGC,GAAGsC,GAAGrC,GAAGC,GAAGC,GAAGC,GAAG,IAAIR,GAAGzE,EAAE,QAAQ,SAAS0E,GAAGQ,EAAE,CAACT,GAAGS,EAAElF,EAAE,MAAM2E,GAAG,IAAI,UAAUO,CAAC,EAAElF,EAAE,OAAO6E,GAAG,IAAI,WAAWK,CAAC,EAAElF,EAAE,OAAO8E,GAAG,IAAI,WAAWI,CAAC,EAAElF,EAAE,OAAO4E,GAAG,IAAI,WAAWM,CAAC,EAAElF,EAAE,QAAQmH,GAAG,IAAI,YAAYjC,CAAC,EAAElF,EAAE,QAAQ+E,GAAG,IAAI,YAAYG,CAAC,EAAElF,EAAE,QAAQgF,GAAG,IAAI,aAAaE,CAAC,EAAElF,EAAE,QAAQiF,GAAG,IAAI,aAAaC,CAAC,CAAC,CAAC,IAAIkC,GAAGpH,EAAE,gBAAgB,SAAS,GAAG,EAAEwE,GAAGxE,EAAE,WAAWyE,GAAGzE,EAAE,eAAeA,EAAE,WAAWwE,GAAGxE,EAAE,mBAAmBwE,GAAG,IAAI,YAAY,OAAO,CAAC,QAAQ4C,GAAG,MAAM,QAAQ,MAAM,OAAO,EAAE,CAAC,EAAE,EAAE5C,GAAG,kBAAkB,mBAAmB,MAAMgB,EAAE,6NAA6N,EAAEhD,GAAG,QAAQ,IAAI,mHAAmH,EAAE,MAAM,YAAY,EAAEgC,KAAKC,GAAGD,GAAG,QAAQ4C,GAAG3C,GAAG,WAAWC,GAAGD,EAAE,EAAE,IAAI4C,GAAGC,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAEC,GAAG,GAAG,SAAS5B,IAAI,CAAC,OAAOO,EAAE,CAAC,SAASsB,IAAI,CAAC,GAAG1H,EAAE,OAAO,IAAI,OAAOA,EAAE,QAAQ,aAAaA,EAAE,OAAO,CAACA,EAAE,MAAM,GAAGA,EAAE,OAAO,QAAQ2H,GAAG3H,EAAE,OAAO,MAAM,CAAC,EAAE4H,GAAGN,EAAE,CAAC,CAAC,SAASO,IAAI,CAACJ,GAAG,GAAG,CAAC,GAAGG,GAAGL,EAAE,CAAC,CAAC,SAASO,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG9H,EAAE,QAAQ,IAAI,OAAOA,EAAE,SAAS,aAAaA,EAAE,QAAQ,CAACA,EAAE,OAAO,GAAGA,EAAE,QAAQ,QAAQ+H,GAAG/H,EAAE,QAAQ,MAAM,CAAC,EAAE4H,GAAGJ,EAAE,CAAC,CAAC,CAAC,SAASG,GAAGzC,EAAE,CAACoC,GAAG,QAAQpC,CAAC,CAAC,CAAC,SAAS8C,GAAG9C,EAAE,CAACqC,GAAG,QAAQrC,CAAC,CAAC,CAAC,SAAS6C,GAAG7C,EAAE,CAACsC,GAAG,QAAQtC,CAAC,CAAC,CAAC,IAAI+C,GAAG,EAAEC,GAAG,KAAKC,GAAG,KAAK,SAASC,GAAGlD,EAAE,CAAC+C,KAAKjI,EAAE,wBAAwBA,EAAE,uBAAuBiI,EAAE,CAAC,CAAC,SAASI,GAAGnD,EAAE,CAAC,GAAG+C,KAAKjI,EAAE,wBAAwBA,EAAE,uBAAuBiI,EAAE,EAAEA,IAAI,IAAIC,KAAK,OAAO,cAAcA,EAAE,EAAEA,GAAG,MAAMC,IAAI,CAAC,IAAIhD,EAAEgD,GAAGA,GAAG,KAAKhD,EAAE,CAAC,CAAC,CAAC,SAASkB,GAAGnB,EAAE,CAAC,EAAE,YAAY,CAAC,IAAI,UAAU,IAAIA,CAAC,CAAC,EAAElF,EAAE,SAASA,EAAE,QAAQkF,CAAC,EAAEA,EAAE,WAAWA,EAAE,IAAIM,EAAEN,CAAC,EAAEqB,GAAG,GAAGC,GAAG,EAAEtB,GAAG,2CAA2C,IAAIC,EAAE,IAAI,YAAY,aAAaD,CAAC,EAAE,MAAMxE,EAAEyE,CAAC,EAAEA,CAAC,CAAC,IAAImD,GAAG,wCAAwC,SAASC,GAAGrD,EAAE,CAAC,OAAOA,EAAE,WAAWoD,EAAE,CAAC,CAAC,SAASE,GAAGtD,EAAE,CAAC,OAAOA,EAAE,WAAW,SAAS,CAAC,CAAC,IAAIuD,GAAGA,GAAG,uCAAuCF,GAAGE,EAAE,IAAIA,GAAG9F,EAAE8F,EAAE,GAAG,SAASC,GAAGxD,EAAE,CAAC,GAAG,CAAC,GAAGA,GAAGuD,IAAItC,GAAG,OAAO,IAAI,WAAWA,EAAE,EAAE,GAAGb,EAAE,OAAOA,EAAEJ,CAAC,EAAE,KAAK,iDAAiD,OAAOC,EAAN,CAASkB,GAAGlB,CAAC,CAAC,CAAC,CAAC,SAASwD,IAAI,CAAC,GAAG,CAACxC,KAAKf,GAAGxC,GAAG,CAAC,GAAG,OAAO,OAAO,YAAY,CAAC4F,GAAGC,EAAE,EAAE,OAAO,MAAMA,GAAG,CAAC,YAAY,aAAa,CAAC,EAAE,KAAK,SAASvD,EAAE,CAAC,GAAG,CAACA,EAAE,GAAG,KAAK,uCAAuCuD,GAAG,IAAI,OAAOvD,EAAE,YAAY,CAAC,CAAC,EAAE,MAAM,UAAU,CAAC,OAAOwD,GAAGD,EAAE,CAAC,CAAC,EAAE,GAAG5F,EAAE,OAAO,IAAI,QAAQ,SAASqC,EAAEC,EAAE,CAACtC,EAAE4F,GAAG,SAAShD,GAAG,CAACP,EAAE,IAAI,WAAWO,EAAE,CAAC,CAAC,EAAEN,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO,QAAQ,QAAQ,EAAE,KAAK,UAAU,CAAC,OAAOuD,GAAGD,EAAE,CAAC,CAAC,CAAC,CAAC,SAASG,IAAI,CAAC,IAAI1D,EAAE,CAAC,IAAI2D,GAAG,uBAAuBA,EAAE,EAAE,SAAS1D,EAAEyB,GAAGC,GAAG,CAAC,IAAIC,GAAGF,GAAG,QAAQ,GAAG5G,EAAE,IAAI8G,GAAGgC,GAAG9I,EAAE,IAAI,oBAAoB,EAAEqH,GAAGrH,EAAE,IAAI,0BAA0BgI,GAAGhI,EAAE,IAAI,iBAAiB,EAAEsG,GAAGO,GAAG,CAAC,EAAE,CAAC,IAAIE,GAAGgC,GAAG,cAAc,OAAOA,GAAG,cAAc,QAAQ,SAASC,GAAG,CAACD,GAAG,uBAAuBC,GAAG,UAAU,CAAC,EAAEjC,IAAIsB,GAAG,kBAAkB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,GAAGD,GAAG,kBAAkB,EAAE,SAAS3C,GAAGmB,GAAG,CAACzB,EAAEyB,GAAG,SAASA,GAAG,MAAM,CAAC,CAAC,SAASlB,GAAGkB,GAAG,CAAC,OAAO+B,GAAG,EAAE,KAAK,SAAS9B,GAAG,CAAC,OAAO,YAAY,YAAYA,GAAG3B,CAAC,CAAC,CAAC,EAAE,KAAK,SAAS2B,GAAG,CAAC,OAAOA,EAAE,CAAC,EAAE,KAAKD,GAAG,SAASC,GAAG,CAACrB,EAAE,0CAA0CqB,EAAE,EAAER,GAAGQ,EAAE,CAAC,CAAC,CAAC,CAAC,SAASlB,IAAI,CAAC,MAAM,CAACQ,IAAI,OAAO,YAAY,sBAAsB,YAAY,CAACoC,GAAGE,EAAE,GAAG,CAACD,GAAGC,EAAE,GAAG,CAACjG,GAAG,OAAO,OAAO,WAAW,MAAMiG,GAAG,CAAC,YAAY,aAAa,CAAC,EAAE,KAAK,SAAS7B,GAAG,CAAC,IAAIC,GAAG,YAAY,qBAAqBD,GAAG1B,CAAC,EAAE,OAAO2B,GAAG,KAAKpB,GAAG,SAASqB,GAAG,CAAC,OAAOtB,EAAE,kCAAkCsB,EAAE,EAAEtB,EAAE,2CAA2C,EAAEE,GAAGD,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEC,GAAGD,EAAE,CAAC,CAAC,GAAGzF,EAAE,gBAAgB,GAAG,CAAC,IAAI4F,GAAG5F,EAAE,gBAAgBkF,EAAEC,CAAC,EAAE,OAAOS,EAAE,OAAOgB,GAAN,CAAUpB,EAAE,sDAAsDoB,EAAE,EAAElG,EAAEkG,EAAE,CAAC,CAAC,OAAOjB,GAAG,EAAE,MAAMjF,CAAC,EAAE,CAAC,CAAC,CAAC,IAAIuI,GAAGC,GAAGC,GAAG,CAAC,EAAE,SAAS5D,GAAGL,EAAE,CAAC,KAAK,KAAK,aAAa,KAAK,QAAQ,gCAAgCA,EAAE,IAAI,KAAK,OAAOA,CAAC,CAAC,SAASkE,GAAGlE,EAAE,CAAC,IAAIC,EAAE4D,GAAG,SAAS7D,GAAG,OAAO6D,GAAG,SAAS7D,GAAGC,EAAE,UAAU,EAAEkE,GAAGnE,CAAC,EAAE6D,GAAG,eAAe,OAAOA,GAAG,eAAe,QAAQ5D,CAAC,EAAE,CAAC,EAAEA,EAAE,YAAY,CAAC,CAAC,SAASmE,GAAGpE,EAAE,CAAC,IAAIC,EAAE4D,GAAG,SAAS7D,GAAGC,EAAE,YAAY,CAAC,IAAI,QAAQ,CAAC,CAAC,CAAC,SAASoE,GAAGrE,EAAE,CAAC,IAAIC,EAAE4D,GAAG,SAAS7D,GAAGuB,GAAGtB,CAAC,EAAE4D,GAAG,mBAAmB5D,CAAC,CAAC,CAAC,SAASqE,GAAGtE,EAAE,CAAC,IAAIC,EAAE4D,GAAG,aAAa,EAAE,GAAG,CAAC5D,EAAE,MAAO,GAAE4D,GAAG,eAAe,KAAK5D,CAAC,EAAE4D,GAAG,SAAS7D,EAAE,aAAaC,EAAEA,EAAE,YAAYD,EAAE,YAAY,IAAIO,GAAG,CAAC,IAAI,MAAM,cAAcP,EAAE,aAAa,IAAIA,EAAE,IAAI,YAAYA,EAAE,WAAW,EAAE,OAAOC,EAAE,WAAW,IAAI,CAACM,GAAG,KAAK,YAAY,IAAI,EAAEN,EAAE,YAAYM,GAAGP,EAAE,YAAY,CAAC,EAAEC,EAAE,SAASA,EAAE,WAAW,EAAE,OAAOA,EAAE,YAAY,CAAC,CAAC,IAAIsE,GAAG,CAAC,QAAQ,OAAO,IAAI,UAAU,CAACA,GAAG,SAAS,EAAE,IAAIvE,EAAEtF,EAAE,EAAE6J,GAAG,QAAQ,GAAG,GAAG,OAAOvE,CAAC,EAAE,OAAO,SAASA,EAAE,CAAC,IAAIC,EAAE6B,GAAG9B,CAAC,EAAE,OAAOC,CAAC,CAAC,EAAE,SAASuE,GAAGxE,EAAE,CAAC,GAAG,EAAE,OAAOyE,GAAG,EAAE,EAAEzE,CAAC,EAAEsB,GAAGtB,EAAEW,GAAG,IAAIkD,GAAG,oBAAoB,EAAE/I,EAAE,QAAQA,EAAE,OAAOkF,CAAC,EAAEqB,GAAG,IAAIvE,EAAEkD,EAAE,IAAIK,GAAGL,CAAC,CAAC,CAAC,CAAC,SAAS0E,GAAG1E,EAAEC,EAAE,CAAC,GAAGqB,GAAGtB,EAAE,CAACC,GAAG,EAAE,MAAM0E,GAAG3E,CAAC,EAAE,SAASwE,GAAGxE,CAAC,CAAC,CAAC,IAAI4E,GAAGF,GAAG,SAASG,GAAG7E,EAAE,CAAC,GAAGA,aAAaK,IAAIL,GAAG,SAAS,OAAOsB,GAAGxE,EAAE,EAAEkD,CAAC,CAAC,CAAC,IAAI6D,GAAG,CAAC,cAAc,CAAC,EAAE,eAAe,CAAC,EAAE,iBAAiB,CAAC,EAAE,SAAS,CAAC,EAAE,KAAK,UAAU,CAAC,EAAEA,GAAG,WAAW,EAAEA,GAAG,eAAe,CAAC,EAAE,eAAe,UAAU,CAAC,QAAQ7D,EAAE,EAAEA,KAAK6D,GAAG,qBAAqB,CAAC,EAAE,WAAW,UAAU,CAAC3C,GAAG,EAAE,EAAE,cAAc,SAASlB,EAAE,CAACsB,GAAGtB,CAAC,EAAE,oBAAoB,UAAU,CAAC,QAAQA,KAAK,OAAO,OAAO6D,GAAG,QAAQ,EAAEA,GAAG,mBAAmB7D,CAAC,EAAE,QAAQA,KAAK6D,GAAG,cAAc7D,EAAE,UAAU,EAAE6D,GAAG,cAAc,CAAC,CAAC,EAAE,mBAAmB,SAAS7D,EAAE,CAAC,IAAIC,EAAED,EAAE,YAAY,OAAO6D,GAAG,SAAS5D,GAAG4D,GAAG,cAAc,KAAK7D,CAAC,EAAE6D,GAAG,eAAe,OAAOA,GAAG,eAAe,QAAQ7D,CAAC,EAAE,CAAC,EAAEA,EAAE,YAAY,EAAEmE,GAAGlE,CAAC,CAAC,EAAE,sBAAsB,SAASD,EAAE,CAAC,EAAE,cAAc,UAAU,CAAC6D,GAAG,iBAAiB,QAAQ7D,GAAGA,EAAE,CAAC,CAAC,EAAE,uBAAuB,SAASA,EAAEC,EAAE,CAACD,EAAE,UAAUO,IAAI,CAAC,IAAIC,GAAGD,GAAG,KAAKE,GAAGD,GAAG,IAAI,GAAGR,EAAE,cAAc6D,GAAG,oCAAoC7D,EAAE,aAAaQ,GAAG,cAAcA,GAAG,cAAcsE,GAAG,EAAE,CAAC,IAAIpE,GAAGmD,GAAG,SAASrD,GAAG,cAAcE,GAAGA,GAAG,YAAYF,GAAGA,GAAG,YAAY,EAAEF,EAAE,0CAA0CG,GAAG,uBAAuBD,GAAG,aAAa,qCAAqC,EAAEqD,GAAG,oCAAoC,OAAO,MAAM,CAACpD,KAAK,uBAAuBsE,GAAGvE,GAAG,KAAK,EAAEC,KAAK,cAAc6D,GAAG9D,EAAE,EAAEC,KAAK,gBAAgB4D,GAAG7D,GAAG,MAAM,EAAEC,KAAK,aAAayD,GAAG1D,GAAG,MAAM,EAAEC,KAAK,eAAe2D,GAAG5D,GAAG,MAAM,EAAEC,KAAK,UAAUT,EAAE,OAAO,GAAGC,GAAGA,EAAED,CAAC,EAAEA,EAAE,aAAaA,EAAE,WAAW,EAAE,OAAOA,EAAE,aAAaS,KAAK,QAAQG,EAAE,UAAUJ,GAAG,SAAS,KAAKA,GAAG,IAAI,EAAEC,KAAK,WAAWH,EAAE,UAAUE,GAAG,SAAS,KAAKA,GAAG,IAAI,EAAEC,KAAK,QAAQ,MAAM,UAAUD,GAAG,SAAS,KAAKA,GAAG,IAAI,EAAEA,GAAG,SAAS,eAAeR,EAAE,YAAYQ,EAAE,EAAEC,KAAK,UAAU3F,EAAE,SAASA,EAAE,QAAQ0F,GAAG,GAAG,EAAEC,IAAIH,EAAE,kCAAkCG,EAAE,EAAEoD,GAAG,oCAAoC,MAAM,EAAE7D,EAAE,QAAQO,IAAI,CAAC,IAAIC,GAAG,wBAAwB,MAAMF,EAAEE,GAAG,IAAID,GAAG,SAAS,IAAIA,GAAG,OAAO,KAAKA,GAAG,OAAO,EAAEA,EAAE,EAAEjD,IAAI0C,EAAE,GAAG,UAAU,SAASO,GAAG,CAACP,EAAE,UAAU,CAAC,KAAKO,EAAE,CAAC,CAAC,CAAC,EAAEP,EAAE,GAAG,QAAQ,SAASO,GAAG,CAACP,EAAE,QAAQO,EAAE,CAAC,CAAC,EAAEP,EAAE,GAAG,eAAe,UAAU,CAAC,CAAC,GAAGA,EAAE,YAAY,CAAC,IAAI,OAAO,UAAUlF,EAAE,qBAAqBnC,EAAE,WAAW2G,GAAG,WAAW8B,EAAE,CAAC,CAAC,EAAE,qBAAqB,UAAU,CAAC,IAAIpB,EAAEvC,EAAE,2CAA2C,EAAEoG,GAAG,cAAc,KAAK,IAAI,OAAO7D,CAAC,CAAC,CAAC,EAAE,aAAa,UAAU,CAAC,OAAO6D,GAAG,cAAc,QAAQ,IAAIA,GAAG,qBAAqB,EAAEA,GAAG,uBAAuBA,GAAG,cAAc,EAAE,GAAGA,GAAG,cAAc,IAAI,CAAC,CAAC,EAAE/I,EAAE,QAAQ+I,GAAG,SAASnB,GAAG1C,EAAE,CAAC,KAAKA,EAAE,OAAO,GAAGA,EAAE,MAAM,EAAElF,CAAC,CAAC,CAAC,SAASkK,GAAGhF,EAAE,CAAC,IAAIC,EAAEgF,GAAG,EAAE1E,GAAGP,EAAE,EAAE,OAAOkF,GAAGjF,CAAC,EAAEM,EAAE,CAAC,SAAS4E,GAAGnF,EAAE,CAAC,OAAOA,CAAC,CAAC,SAASoF,GAAGpF,EAAE,CAAC,IAAIC,EAAE,gBAAgB,OAAOD,EAAE,QAAQC,EAAE,SAASM,GAAG,CAAC,IAAIC,GAAGD,GAAG,OAAOA,KAAKC,GAAGD,GAAGC,GAAG,KAAKD,GAAG,GAAG,CAAC,CAAC,CAAC,SAAS8E,IAAI,CAAC,IAAIrF,EAAE8E,GAAG,EAAE7E,EAAEvF,EAAE,EAAEsF,EAAE,IAAI,GAAGO,GAAG7F,EAAE,EAAEsF,EAAE,IAAI,GAAGQ,GAAGP,EAAEM,GAAG+E,GAAGrF,EAAEO,EAAE,EAAE0E,GAAGjF,CAAC,CAAC,CAACnF,EAAE,oBAAoBuK,GAAG,SAASV,GAAG3E,EAAE,CAAC,GAAG,EAAE,OAAOyE,GAAG,EAAE,EAAEzE,CAAC,EAAE,GAAG,CAAC4E,GAAG5E,CAAC,CAAC,OAAOC,EAAN,CAAS4E,GAAG5E,CAAC,CAAC,CAAC,CAAC,IAAIsF,GAAG,CAAC,EAAE,SAASC,GAAGxF,EAAE,CAAC,IAAIC,EAAEsF,GAAGvF,GAAG,OAAOC,IAAID,GAAGuF,GAAG,SAASA,GAAG,OAAOvF,EAAE,GAAGuF,GAAGvF,GAAGC,EAAEkC,GAAG,IAAInC,CAAC,GAAGC,CAAC,CAAC,SAASwF,GAAGzF,EAAEC,EAAE,CAAC,IAAIM,GAAGiF,GAAGxF,CAAC,EAAEC,CAAC,EAAEU,GAAG,EAAEkD,GAAG,cAActD,EAAE,EAAEmF,GAAGnF,EAAE,CAAC,CAACzF,EAAE,iBAAiB2K,GAAG,SAASE,IAAI,CAAC,IAAI3F,EAAE,IAAI,MAAM,GAAG,CAACA,EAAE,MAAM,CAAC,GAAG,CAAC,MAAM,IAAI,KAAK,OAAOC,EAAN,CAASD,EAAEC,CAAC,CAAC,GAAG,CAACD,EAAE,MAAM,MAAM,4BAA4B,CAAC,OAAOA,EAAE,MAAM,SAAS,CAAC,CAAC,SAAS4D,GAAG5D,EAAE,CAAC6D,GAAG,iBAAiB,KAAK7D,CAAC,CAAC,CAAC,SAAS4F,GAAG5F,EAAEC,EAAE,CAACpH,EAAE,EAAE,IAAImH,EAAEC,CAAC,CAAC,CAAC,SAAS4F,GAAG7F,EAAE,CAAC8F,GAAG9F,EAAE,CAACtC,EAAE,EAAE,CAACwC,CAAC,EAAE2D,GAAG,cAAc,CAAC,CAAC,SAASkC,GAAG/F,EAAE,CAAC,EAAE,YAAY,CAAC,IAAI,gBAAgB,OAAOA,CAAC,CAAC,EAAEqE,GAAGrE,CAAC,CAAC,CAAC,SAASgG,GAAGhG,EAAEC,EAAEM,GAAGC,GAAG,CAAC,OAAO,EAAEiE,GAAG,EAAE,EAAEzE,EAAEC,EAAEM,GAAGC,EAAE,EAAEyF,GAAGjG,EAAEC,EAAEM,GAAGC,EAAE,CAAC,CAAC,SAASyF,GAAGjG,EAAEC,EAAEM,GAAGC,GAAG,CAAC,GAAG,OAAO,mBAAmB,YAAY,OAAOF,EAAE,qFAAqF,EAAE,EAAE,IAAIG,GAAG,CAAC,EAAEC,GAAG,EAAE,GAAG,IAAID,GAAG,SAAS,GAAGC,IAAI,OAAOsF,GAAGhG,EAAEC,EAAEM,GAAGC,EAAE,EAAE,GAAGE,GAAG,OAAOA,GAAG,IAAIgB,GAAG,CAAC,aAAanB,GAAG,YAAYP,EAAE,IAAIQ,GAAG,aAAaC,EAAE,EAAE,OAAO,GAAGiB,GAAG,IAAI,cAAc,YAAYA,GAAGjB,EAAE,EAAE,GAAG6D,GAAG5C,EAAE,CAAC,CAAC,SAASwE,IAAI,CAAC,MAAO,QAAO,CAAC,IAAIC,GAAG,GAAG,SAASC,IAAI,CAAC,OAAOD,EAAE,CAAC,SAASpB,GAAG/E,EAAE,CAAC,QAAQ,MAAMtF,EAAE,EAAEsF,GAAG,EAAE,CAAC,EAAE8E,GAAG,GAAGuB,GAAGrG,CAAC,EAAE,QAAQ,gBAAgBtF,EAAE,EAAEsF,GAAG,EAAE,EAAE,CAAC,CAAC,CAAClF,EAAE,6BAA6BiK,GAAG,SAASuB,GAAGtG,EAAEC,EAAEM,GAAGC,GAAG,CAAC,GAAGR,GAAGC,EAAE,WAAW,IAAI8E,GAAGvE,EAAE,CAAC,UAAU,EAAE,YAAY,CAAC,aAAaR,EAAE,IAAI,uBAAuB,MAAMQ,EAAE,CAAC,MAAM,CAAC,IAAIC,GAAGoD,GAAG,SAAS7D,GAAG,GAAG,CAACS,GAAG,OAAOA,GAAG,YAAY,CAAC,IAAI,uBAAuB,MAAMD,EAAE,CAAC,CAAC,CAAC,MAAO,EAAC,CAAC,SAAS+F,GAAGvG,EAAEC,EAAEM,GAAG,CAAC,MAAM,EAAE,CAAC,SAASiG,IAAI,CAACrF,GAAG,EAAE,CAAC,CAAC,SAASsF,GAAGzG,EAAE,CAACyG,GAAG,QAAQA,GAAG,MAAM,CAAC,GAAGA,GAAG,MAAMzG,KAAKyG,GAAG,MAAMzG,GAAG,EAAE1C,IAAI0C,EAAE,YAAYA,GAAGM,EAAEN,CAAC,EAAE,CAAC,SAAS0G,IAAI,CAACpJ,GAAGI,GAAG+I,GAAG,0IAA0I,CAAC,CAAC,SAASE,IAAI,CAAC,OAAO,KAAK,IAAI,CAAC,CAAC,SAASC,IAAI,CAAC,MAAO,WAAU,CAAC,SAASC,IAAI,CAAC,OAAOD,GAAG,CAAC,CAAC,IAAIE,GAAGxJ,EAAEwJ,GAAG,IAAI,CAAC,IAAI9G,EAAE,QAAQ,OAAO,EAAE,OAAOA,EAAE,GAAG,IAAIA,EAAE,GAAG,GAAG,EAAE,EAAE8G,GAAG,IAAI,YAAY,IAAI,EAAEhM,EAAE,8BAA8BgM,GAAG,IAAI,YAAY,IAAI,EAAE,SAASC,GAAG/G,EAAEC,EAAEM,GAAG,CAACtH,EAAE,EAAE,WAAW+G,EAAEC,EAAEA,EAAEM,EAAE,CAAC,CAAC,SAASyG,IAAI,CAAC,OAAO1J,EAAE2B,GAAG,EAAE,KAAK,EAAE,OAAO,UAAU,mBAAmB,CAAC,SAASwF,GAAGzE,EAAEC,EAAE,CAAC,IAAIM,GAAG,UAAU,OAAO,EAAEC,GAAG,UAAU,OAAOwE,GAAG,IAAI,CAAC,QAAQvE,GAAGF,GAAGG,GAAGuG,GAAGxG,GAAG,CAAC,EAAEiB,GAAGhB,IAAI,EAAEiB,GAAG,EAAEA,GAAGpB,GAAGoB,KAAK,CAAC,IAAIC,GAAGpB,GAAG,EAAEmB,IAAI9G,EAAE,EAAE6G,GAAGC,IAAIC,EAAE,CAAC,OAAOsF,GAAGlH,EAAES,GAAGC,GAAGT,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIkH,GAAG,CAAC,EAAE,SAASC,GAAGpH,EAAEC,EAAEM,GAAG,CAAC4G,GAAG,OAAOlH,EAAE,QAAQO,GAAGD,IAAI,EAAEE,GAAG,EAAEA,GAAGR,EAAEQ,KAAK0G,GAAG1G,IAAI5F,EAAE,EAAE2F,GAAGC,IAAI,IAAIC,GAAGV,EAAE,EAAE0B,GAAGhB,GAAGuD,GAAG,CAACjE,EAAE,GAAGqH,GAAGrH,GAAG,OAAO0B,GAAG,MAAM,KAAKyF,EAAE,CAAC,CAAC,SAASG,GAAGtH,EAAE,CAAC,GAAG,CAAC,OAAOV,GAAG,KAAKU,EAAET,GAAG,WAAW,QAAQ,EAAE,EAAEC,GAAGF,GAAG,MAAM,EAAE,CAAC,OAAOW,EAAN,CAAS,CAAC,CAAC,SAASsH,GAAGvH,EAAE,CAAC,IAAIC,EAAEhH,EAAE,EAAE,OAAO,GAAG+G,EAAEA,IAAI,EAAEA,GAAGC,EAAE,MAAM,GAAG,IAAIM,GAAGqG,GAAG,EAAE,GAAG5G,EAAEO,GAAG,MAAM,GAAG,IAAIC,GAAG,CAACoB,GAAGC,KAAKD,IAAIC,GAAGD,GAAGC,IAAIA,GAAG,QAAQpB,GAAG,EAAEA,IAAI,EAAEA,IAAI,EAAE,CAAC,IAAIC,GAAGT,GAAG,EAAE,GAAGQ,IAAIC,GAAG,KAAK,IAAIA,GAAGV,EAAE,SAAS,EAAE,IAAI0B,GAAG,KAAK,IAAInB,GAAGC,GAAG,KAAK,IAAIR,EAAEU,EAAE,EAAE,KAAK,CAAC,EAAEiB,GAAG2F,GAAG5F,EAAE,EAAE,GAAGC,GAAG,MAAM,EAAE,CAAC,MAAM,EAAE,CAAC,SAAS6F,IAAI,CAAC,KAAK,QAAQ,CAAC,SAASC,GAAGzH,EAAE,CAAC,OAAO,EAAEyE,GAAG,EAAE,EAAEzE,CAAC,EAAE,EAAE,CAAC,SAAS0H,GAAG1H,EAAEC,EAAEM,GAAGC,GAAGC,GAAG,CAAC,OAAO,EAAEgE,GAAG,EAAE,EAAEzE,EAAEC,EAAEM,GAAGC,GAAGC,EAAE,EAAE,EAAE,CAAC,IAAIkH,GAAG,CAAC,KAAK,CAAC,EAAE,CAAC,CAAC,EAAE,SAASC,GAAG5H,EAAEC,EAAE,CAAC,IAAIM,GAAGoH,GAAG3H,GAAGC,IAAI,GAAGA,IAAI,KAAKD,IAAI,EAAEY,EAAEN,GAAGmB,GAAGlB,GAAG,CAAC,CAAC,EAAEA,GAAG,OAAO,GAAGA,GAAG,KAAKN,CAAC,CAAC,CAAC,SAAS4H,GAAG7H,EAAEC,EAAEM,GAAGC,GAAG,CAAC,GAAG,EAAE,OAAOiE,GAAG,EAAE,EAAEzE,EAAEC,EAAEM,GAAGC,EAAE,EAAE,QAAQC,GAAG,EAAEC,GAAG,EAAEA,GAAGH,GAAGG,KAAK,CAAC,IAAIgB,GAAG/G,EAAE,EAAEsF,GAAG,GAAG0B,GAAGhH,EAAE,EAAEsF,EAAE,GAAG,GAAGA,GAAG,EAAE,QAAQ2B,GAAG,EAAEA,GAAGD,GAAGC,KAAKgG,GAAG5H,EAAE/G,EAAE,EAAEyI,GAAGE,GAAG,EAAEnB,IAAIkB,EAAE,CAAC,OAAOhH,EAAE,EAAE6F,IAAI,GAAGC,GAAG,CAAC,CAAC,SAASqH,GAAG9H,EAAE,CAAC,IAAIC,EAAEnF,EAAE,IAAIkF,GAAG,OAAOC,CAAC,CAAC,SAAS8H,GAAG/H,EAAEC,EAAEM,GAAGC,GAAGC,GAAG,CAAC,IAAIC,GAAG,CAAC,OAAOsH,IAAI,CAAC,IAAIC,GAAG,EAAE,GAAGD,IAAI,MAAMA,KAAK,EAAE,CAAC,IAAIE,IAAIF,GAAG,QAAQ,GAAG,EAAEC,GAAGhB,GAAGiB,EAAE,EAAElG,GAAGgG,GAAGC,GAAGC,EAAE,CAAC,CAAC,OAAOD,EAAE,EAAE,MAAMD,IAAI,CAAC,IAAIC,GAAGhB,GAAGe,GAAG,MAAM,EAAE,OAAOpC,GAAGoC,GAAGC,EAAE,EAAEA,EAAE,CAAC,EAAE,SAASvG,GAAGsG,GAAG,CAAC,OAAO/H,IAAI,SAAS6B,GAAGkG,EAAE,EAAE/H,IAAI,UAAU,QAAQ+H,EAAE,EAAEA,EAAE,CAAC,IAAIrG,GAAGmG,GAAG9H,CAAC,EAAE4B,GAAG,CAAC,EAAEC,GAAG,EAAE,GAAGrB,GAAG,QAAQsD,GAAG,EAAEA,GAAGtD,GAAG,OAAOsD,KAAK,CAAC,IAAIqE,GAAGzH,GAAGH,GAAGuD,KAAKqE,IAAItG,KAAK,IAAIA,GAAGoD,GAAG,GAAGrD,GAAGkC,IAAIqE,GAAG3H,GAAGsD,GAAG,GAAGlC,GAAGkC,IAAItD,GAAGsD,GAAG,CAAC,IAAIsE,GAAGzG,GAAG,MAAM,KAAKC,EAAE,EAAE,SAASyG,GAAGL,GAAG,CAAC,OAAOnG,KAAK,GAAGqD,GAAGrD,EAAE,EAAEH,GAAGsG,EAAE,CAAC,CAAC,OAAOI,GAAGC,GAAGD,EAAE,EAAEA,EAAE,CAAC,SAASE,GAAGtI,EAAEC,EAAEM,GAAGC,GAAG,CAACD,GAAGA,IAAI,CAAC,EAAE,IAAIE,GAAGF,GAAG,MAAMmB,IAAIA,KAAK,UAAUA,KAAK,SAAS,EAAEhB,GAAGT,IAAI,SAAS,OAAOS,IAAID,IAAI,CAACD,GAAGsH,GAAG9H,CAAC,EAAE,UAAU,CAAC,OAAO+H,GAAG/H,EAAEC,EAAEM,GAAG,UAAUC,EAAE,CAAC,CAAC,CAACqD,GAAG,KAAK,EAAE,IAAIwD,GAAG,CAAC,KAAK7C,GAAGG,GAAGqB,GAAGyB,GAAGC,GAAGG,EAAE,EAAElE,GAAG,CAAC,iCAAiCkC,GAAG,4BAA4BE,GAAG,oBAAoBE,GAAG,uCAAuCC,GAAG,iCAAiCE,GAAG,8BAA8BE,GAAG,qCAAqCC,GAAG,MAAMC,GAAG,kCAAkCE,GAAG,oBAAoBC,GAAG,wBAAwBE,GAAG,mBAAmBC,GAAG,sBAAsBC,GAAG,6BAA6BC,GAAG,qCAAqCI,GAAG,uBAAuBG,GAAG,mCAAmCC,GAAG,KAAK5C,GAAG,SAAS6C,GAAG,QAAQC,GAAG,SAASG,GAAG,OAAOvI,IAAIxE,EAAE,UAAU,EAAEyN,GAAG7E,GAAG,EAAE8E,GAAG1N,EAAE,mBAAmB,UAAU,CAAC,OAAO0N,GAAG1N,EAAE,mBAAmBA,EAAE,IAAI,mBAAmB,MAAM,KAAK,SAAS,CAAC,EAAE2N,GAAG3N,EAAE,MAAM,UAAU,CAAC,OAAO2N,GAAG3N,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE4N,GAAG5N,EAAE,yBAAyB,UAAU,CAAC,OAAO4N,GAAG5N,EAAE,yBAAyBA,EAAE,IAAI,yBAAyB,MAAM,KAAK,SAAS,CAAC,EAAE6N,GAAG7N,EAAE,mBAAmB,UAAU,CAAC,OAAO6N,GAAG7N,EAAE,mBAAmBA,EAAE,IAAI,mBAAmB,MAAM,KAAK,SAAS,CAAC,EAAE8N,GAAG9N,EAAE,iBAAiB,UAAU,CAAC,OAAO8N,GAAG9N,EAAE,iBAAiBA,EAAE,IAAI,iBAAiB,MAAM,KAAK,SAAS,CAAC,EAAE+N,GAAG/N,EAAE,cAAc,UAAU,CAAC,OAAO+N,GAAG/N,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEgO,GAAGhO,EAAE,SAAS,UAAU,CAAC,OAAOgO,GAAGhO,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEiO,GAAGjO,EAAE,KAAK,UAAU,CAAC,OAAOiO,GAAGjO,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEkO,GAAGlO,EAAE,KAAK,UAAU,CAAC,OAAOkO,GAAGlO,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEmO,GAAGnO,EAAE,MAAM,UAAU,CAAC,OAAOmO,GAAGnO,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEoO,GAAGpO,EAAE,KAAK,UAAU,CAAC,OAAOoO,GAAGpO,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEqO,GAAGrO,EAAE,KAAK,UAAU,CAAC,OAAOqO,GAAGrO,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEsO,GAAGtO,EAAE,QAAQ,UAAU,CAAC,OAAOsO,GAAGtO,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEuO,GAAGvO,EAAE,SAAS,UAAU,CAAC,OAAOuO,GAAGvO,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEwO,GAAGxO,EAAE,aAAa,UAAU,CAAC,OAAOwO,GAAGxO,EAAE,aAAaA,EAAE,IAAI,aAAa,MAAM,KAAK,SAAS,CAAC,EAAEyO,GAAGzO,EAAE,MAAM,UAAU,CAAC,OAAOyO,GAAGzO,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE0O,GAAG1O,EAAE,aAAa,UAAU,CAAC,OAAO0O,GAAG1O,EAAE,aAAaA,EAAE,IAAI,aAAa,MAAM,KAAK,SAAS,CAAC,EAAE2O,GAAG3O,EAAE,QAAQ,UAAU,CAAC,OAAO2O,GAAG3O,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAE4O,GAAG5O,EAAE,qBAAqB,UAAU,CAAC,OAAO4O,GAAG5O,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAE6O,GAAG7O,EAAE,KAAK,UAAU,CAAC,OAAO6O,GAAG7O,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE8O,GAAG9O,EAAE,MAAM,UAAU,CAAC,OAAO8O,GAAG9O,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE+O,GAAG/O,EAAE,eAAe,UAAU,CAAC,OAAO+O,GAAG/O,EAAE,eAAeA,EAAE,IAAI,eAAe,MAAM,KAAK,SAAS,CAAC,EAAEgP,GAAGhP,EAAE,SAAS,UAAU,CAAC,OAAOgP,GAAGhP,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEiP,GAAGjP,EAAE,QAAQ,UAAU,CAAC,OAAOiP,GAAGjP,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEkP,GAAGlP,EAAE,cAAc,UAAU,CAAC,OAAOkP,GAAGlP,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEmP,GAAGnP,EAAE,uBAAuB,UAAU,CAAC,OAAOmP,GAAGnP,EAAE,uBAAuBA,EAAE,IAAI,uBAAuB,MAAM,KAAK,SAAS,CAAC,EAAEoP,GAAGpP,EAAE,KAAK,UAAU,CAAC,OAAOoP,GAAGpP,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEqP,GAAGrP,EAAE,OAAO,UAAU,CAAC,OAAOqP,GAAGrP,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEsP,GAAGtP,EAAE,KAAK,UAAU,CAAC,OAAOsP,GAAGtP,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEuP,GAAGvP,EAAE,eAAe,UAAU,CAAC,OAAOuP,GAAGvP,EAAE,eAAeA,EAAE,IAAI,eAAe,MAAM,KAAK,SAAS,CAAC,EAAEwP,GAAGxP,EAAE,OAAO,UAAU,CAAC,OAAOwP,GAAGxP,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEyP,GAAGzP,EAAE,UAAU,UAAU,CAAC,OAAOyP,GAAGzP,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAE0P,GAAG1P,EAAE,gBAAgB,UAAU,CAAC,OAAO0P,GAAG1P,EAAE,gBAAgBA,EAAE,IAAI,gBAAgB,MAAM,KAAK,SAAS,CAAC,EAAE2P,GAAG3P,EAAE,aAAa,UAAU,CAAC,OAAO2P,GAAG3P,EAAE,aAAaA,EAAE,IAAI,aAAa,MAAM,KAAK,SAAS,CAAC,EAAE4P,GAAG5P,EAAE,sBAAsB,UAAU,CAAC,OAAO4P,GAAG5P,EAAE,sBAAsBA,EAAE,IAAI,sBAAsB,MAAM,KAAK,SAAS,CAAC,EAAE6P,GAAG7P,EAAE,QAAQ,UAAU,CAAC,OAAO6P,GAAG7P,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAE8P,GAAG9P,EAAE,UAAU,UAAU,CAAC,OAAO8P,GAAG9P,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAE+P,GAAG/P,EAAE,SAAS,UAAU,CAAC,OAAO+P,GAAG/P,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEgQ,GAAGhQ,EAAE,cAAc,UAAU,CAAC,OAAOgQ,GAAGhQ,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEiQ,GAAGjQ,EAAE,WAAW,UAAU,CAAC,OAAOiQ,GAAGjQ,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEkQ,GAAGlQ,EAAE,MAAM,UAAU,CAAC,OAAOkQ,GAAGlQ,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEmQ,GAAGnQ,EAAE,WAAW,UAAU,CAAC,OAAOmQ,GAAGnQ,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEoQ,GAAGpQ,EAAE,KAAK,UAAU,CAAC,OAAOoQ,GAAGpQ,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEqQ,GAAGrQ,EAAE,YAAY,UAAU,CAAC,OAAOqQ,GAAGrQ,EAAE,YAAYA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAEsQ,GAAGtQ,EAAE,YAAY,UAAU,CAAC,OAAOsQ,GAAGtQ,EAAE,YAAYA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAEuQ,GAAGvQ,EAAE,WAAW,UAAU,CAAC,OAAOuQ,GAAGvQ,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEwQ,GAAGxQ,EAAE,YAAY,UAAU,CAAC,OAAOwQ,GAAGxQ,EAAE,YAAYA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAEyQ,GAAGzQ,EAAE,KAAK,UAAU,CAAC,OAAOyQ,GAAGzQ,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE0Q,GAAG1Q,EAAE,SAAS,UAAU,CAAC,OAAO0Q,GAAG1Q,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE2Q,GAAG3Q,EAAE,SAAS,UAAU,CAAC,OAAO2Q,GAAG3Q,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE4Q,GAAG5Q,EAAE,MAAM,UAAU,CAAC,OAAO4Q,GAAG5Q,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE6Q,GAAG7Q,EAAE,KAAK,UAAU,CAAC,OAAO6Q,GAAG7Q,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE8Q,GAAG9Q,EAAE,SAAS,UAAU,CAAC,OAAO8Q,GAAG9Q,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE+Q,GAAG/Q,EAAE,WAAW,UAAU,CAAC,OAAO+Q,GAAG/Q,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEgR,GAAGhR,EAAE,UAAU,UAAU,CAAC,OAAOgR,GAAGhR,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAEiR,GAAGjR,EAAE,KAAK,UAAU,CAAC,OAAOiR,GAAGjR,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEkR,GAAGlR,EAAE,qBAAqB,UAAU,CAAC,OAAOkR,GAAGlR,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAEmR,GAAGnR,EAAE,qBAAqB,UAAU,CAAC,OAAOmR,GAAGnR,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAEoR,EAAEpR,EAAE,qBAAqB,UAAU,CAAC,OAAOoR,EAAEpR,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAEqR,GAAGrR,EAAE,UAAU,UAAU,CAAC,OAAOqR,GAAGrR,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAEsR,GAAGtR,EAAE,QAAQ,UAAU,CAAC,OAAOsR,GAAGtR,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEuR,GAAGvR,EAAE,OAAO,UAAU,CAAC,OAAOuR,GAAGvR,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEwR,GAAGxR,EAAE,KAAK,UAAU,CAAC,OAAOwR,GAAGxR,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEyR,GAAGzR,EAAE,OAAO,UAAU,CAAC,OAAOyR,GAAGzR,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAE0R,GAAG1R,EAAE,MAAM,UAAU,CAAC,OAAO0R,GAAG1R,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE2R,GAAG3R,EAAE,SAAS,UAAU,CAAC,OAAO2R,GAAG3R,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE4R,GAAG5R,EAAE,MAAM,UAAU,CAAC,OAAO4R,GAAG5R,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE6R,GAAG7R,EAAE,OAAO,UAAU,CAAC,OAAO6R,GAAG7R,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAE8R,GAAG9R,EAAE,gBAAgB,UAAU,CAAC,OAAO8R,GAAG9R,EAAE,gBAAgBA,EAAE,IAAI,gBAAgB,MAAM,KAAK,SAAS,CAAC,EAAE+R,GAAG/R,EAAE,uBAAuB,UAAU,CAAC,OAAO+R,GAAG/R,EAAE,uBAAuBA,EAAE,IAAI,uBAAuB,MAAM,KAAK,SAAS,CAAC,EAAEgS,GAAGhS,EAAE,SAAS,UAAU,CAAC,OAAOgS,GAAGhS,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEiS,GAAGjS,EAAE,kBAAkB,UAAU,CAAC,OAAOiS,GAAGjS,EAAE,kBAAkBA,EAAE,IAAI,kBAAkB,MAAM,KAAK,SAAS,CAAC,EAAEkS,GAAGlS,EAAE,OAAO,UAAU,CAAC,OAAOkS,GAAGlS,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEmS,GAAGnS,EAAE,OAAO,UAAU,CAAC,OAAOmS,GAAGnS,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEoS,GAAGpS,EAAE,WAAW,UAAU,CAAC,OAAOoS,GAAGpS,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEqS,GAAGrS,EAAE,UAAU,UAAU,CAAC,OAAOqS,GAAGrS,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAEsS,GAAGtS,EAAE,SAAS,UAAU,CAAC,OAAOsS,GAAGtS,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEuS,GAAGvS,EAAE,KAAK,UAAU,CAAC,OAAOuS,GAAGvS,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEwS,GAAGxS,EAAE,SAAS,UAAU,CAAC,OAAOwS,GAAGxS,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEyS,GAAGzS,EAAE,qBAAqB,UAAU,CAAC,OAAOyS,GAAGzS,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAE0S,GAAG1S,EAAE,eAAe,UAAU,CAAC,OAAO0S,GAAG1S,EAAE,eAAeA,EAAE,IAAI,eAAe,MAAM,KAAK,SAAS,CAAC,EAAE2S,GAAG3S,EAAE,wBAAwB,UAAU,CAAC,OAAO2S,GAAG3S,EAAE,wBAAwBA,EAAE,IAAI,wBAAwB,MAAM,KAAK,SAAS,CAAC,EAAE4S,GAAG5S,EAAE,MAAM,UAAU,CAAC,OAAO4S,GAAG5S,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE6S,GAAG7S,EAAE,QAAQ,UAAU,CAAC,OAAO6S,GAAG7S,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAE8S,GAAG9S,EAAE,mBAAmB,UAAU,CAAC,OAAO8S,GAAG9S,EAAE,mBAAmBA,EAAE,IAAI,mBAAmB,MAAM,KAAK,SAAS,CAAC,EAAE+S,GAAG/S,EAAE,MAAM,UAAU,CAAC,OAAO+S,GAAG/S,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEgT,GAAGhT,EAAE,cAAc,UAAU,CAAC,OAAOgT,GAAGhT,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEiT,GAAGjT,EAAE,KAAK,UAAU,CAAC,OAAOiT,GAAGjT,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEkT,GAAGlT,EAAE,KAAK,UAAU,CAAC,OAAOkT,GAAGlT,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEmT,GAAGnT,EAAE,KAAK,UAAU,CAAC,OAAOmT,GAAGnT,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEoT,GAAGpT,EAAE,MAAM,UAAU,CAAC,OAAOoT,GAAGpT,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEqT,GAAGrT,EAAE,MAAM,UAAU,CAAC,OAAOqT,GAAGrT,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEsT,GAAGtT,EAAE,MAAM,UAAU,CAAC,OAAOsT,GAAGtT,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEuT,GAAGvT,EAAE,WAAW,UAAU,CAAC,OAAOuT,GAAGvT,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEwT,GAAGxT,EAAE,WAAW,UAAU,CAAC,OAAOwT,GAAGxT,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEyT,GAAGzT,EAAE,cAAc,UAAU,CAAC,OAAOyT,GAAGzT,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAE0T,GAAG1T,EAAE,QAAQ,UAAU,CAAC,OAAO0T,GAAG1T,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAE2T,GAAG3T,EAAE,MAAM,UAAU,CAAC,OAAO2T,GAAG3T,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE4T,GAAG5T,EAAE,sBAAsB,UAAU,CAAC,OAAO4T,GAAG5T,EAAE,sBAAsBA,EAAE,IAAI,sBAAsB,MAAM,KAAK,SAAS,CAAC,EAAEgK,GAAGhK,EAAE,cAAc,UAAU,CAAC,OAAOgK,GAAGhK,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAE6T,GAAG7T,EAAE,kBAAkB,UAAU,CAAC,OAAO6T,GAAG7T,EAAE,kBAAkBA,EAAE,IAAI,kBAAkB,MAAM,KAAK,SAAS,CAAC,EAAEgL,GAAGhL,EAAE,yBAAyB,UAAU,CAAC,OAAOgL,GAAGhL,EAAE,yBAAyBA,EAAE,IAAI,yBAAyB,MAAM,KAAK,SAAS,CAAC,EAAE8T,GAAG9T,EAAE,4BAA4B,UAAU,CAAC,OAAO8T,GAAG9T,EAAE,4BAA4BA,EAAE,IAAI,4BAA4B,MAAM,KAAK,SAAS,CAAC,EAAE+T,GAAG/T,EAAE,6CAA6C,UAAU,CAAC,OAAO+T,GAAG/T,EAAE,6CAA6CA,EAAE,IAAI,6CAA6C,MAAM,KAAK,SAAS,CAAC,EAAEgU,GAAGhU,EAAE,mCAAmC,UAAU,CAAC,OAAOgU,GAAGhU,EAAE,mCAAmCA,EAAE,IAAI,mCAAmC,MAAM,KAAK,SAAS,CAAC,EAAEoM,GAAGpM,EAAE,0CAA0C,UAAU,CAAC,OAAOoM,GAAGpM,EAAE,0CAA0CA,EAAE,IAAI,0CAA0C,MAAM,KAAK,SAAS,CAAC,EAAEiU,GAAGjU,EAAE,gCAAgC,UAAU,CAAC,OAAOiU,GAAGjU,EAAE,gCAAgCA,EAAE,IAAI,gCAAgC,MAAM,KAAK,SAAS,CAAC,EAAEuL,GAAGvL,EAAE,sCAAsC,UAAU,CAAC,OAAOuL,GAAGvL,EAAE,sCAAsCA,EAAE,IAAI,sCAAsC,MAAM,KAAK,SAAS,CAAC,EAAEqJ,GAAGrJ,EAAE,8BAA8B,UAAU,CAAC,OAAOqJ,GAAGrJ,EAAE,8BAA8BA,EAAE,IAAI,8BAA8B,MAAM,KAAK,SAAS,CAAC,EAAE4K,GAAG5K,EAAE,yBAAyB,UAAU,CAAC,OAAO4K,GAAG5K,EAAE,yBAAyBA,EAAE,IAAI,yBAAyB,MAAM,KAAK,SAAS,CAAC,EAAEwK,GAAGxK,EAAE,6BAA6B,UAAU,CAAC,OAAOwK,GAAGxK,EAAE,6BAA6BA,EAAE,IAAI,6BAA6B,MAAM,KAAK,SAAS,CAAC,EAAEmK,GAAGnK,EAAE,UAAU,UAAU,CAAC,OAAOmK,GAAGnK,EAAE,UAAUA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEoK,GAAGpK,EAAE,aAAa,UAAU,CAAC,OAAOoK,GAAGpK,EAAE,aAAaA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEmM,GAAGnM,EAAE,WAAW,UAAU,CAAC,OAAOmM,GAAGnM,EAAE,WAAWA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAEkU,GAAGlU,EAAE,iBAAiB,UAAU,CAAC,OAAOkU,GAAGlU,EAAE,iBAAiBA,EAAE,IAAI,kBAAkB,MAAM,KAAK,SAAS,CAAC,EAAEmU,GAAGnU,EAAE,aAAa,UAAU,CAAC,OAAOmU,GAAGnU,EAAE,aAAaA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEA,EAAE,iBAAiB6F,GAAG7F,EAAE,WAAWwE,GAAGxE,EAAE,MAAMwN,GAAGxN,EAAE,WAAWuF,GAAGvF,EAAE,QAAQ+I,GAAG,IAAIqL,GAAGjM,GAAG,SAASjD,GAAG,CAACkP,IAAIC,GAAG,EAAED,KAAKjM,GAAGjD,EAAE,EAAE,SAASmP,GAAGnP,EAAE,CAAC,GAAGA,EAAEA,GAAGrE,EAAEoH,GAAG,EAAE,OAAO,GAAG,EAAE,CAACxH,EAAET,CAAC,EAAE6H,GAAG,EAAE,YAAY,CAAC,IAAI,QAAQ,CAAC,EAAE,MAAM,CAAC,GAAGH,GAAG,EAAEO,GAAG,EAAE,OAAO,SAAS9C,GAAG,CAACiP,KAAKA,GAAG,GAAGpU,EAAE,UAAU,GAAG,CAACuG,KAAKsB,GAAG,EAAEpH,EAAET,CAAC,EAAEA,EAAE,sBAAsBA,EAAE,qBAAqB,EAAE8H,GAAG,GAAG,CAAC9H,EAAE,WAAWA,EAAE,UAAU,YAAY,EAAE,WAAW,UAAU,CAAC,WAAW,UAAU,CAACA,EAAE,UAAU,EAAE,CAAC,EAAE,CAAC,EAAEmF,EAAE,CAAC,EAAE,CAAC,GAAGA,EAAE,CAAC,CAAC,GAAGnF,EAAE,QAAQ,IAAI,OAAOA,EAAE,SAAS,aAAaA,EAAE,QAAQ,CAACA,EAAE,OAAO,GAAGA,EAAE,QAAQ,OAAO,GAAGA,EAAE,QAAQ,IAAI,EAAE,EAAEqU,GAAG,EAAE,IAAIC,GAAG3T,IAAI2T,GAAG,CAAC,kBAAkB,QAAQ,UAAU,mBAAmB,EAAE,OAAO,SAASpP,EAAE,CAAC,MAAM,CAACvE,EAAE,kBAAkB,QAAQuE,CAAC,EAAE,EAAE,CAAC,EAAE,mBAAmB,QAAQ,UAAU,oBAAoB,EAAE,OAAO,SAASA,EAAE,CAAC,MAAM,CAACvE,EAAE,mBAAmB,QAAQuE,CAAC,EAAE,EAAE,CAAC,CAAC,GAAG,IAAIqP,GAAG,GAAG,OAAO,mBAAmB,YAAYA,GAAG,0BAA0B,OAAO5V,GAAG,YAAY4V,GAAG5V,MAAO,OAAM,IAAI,MAAM,uCAAuC,EAAE,GAAG2V,GAAG,CAAC,IAAIE,GAAGD,GAAG,SAASA,GAAG,SAAS,UAAU,CAACC,GAAG,EAAEF,GAAG,kBAAkB,QAAQ,SAASpP,EAAE,CAAC,QAAQ,eAAe,oBAAoBA,CAAC,CAAC,CAAC,EAAEoP,GAAG,mBAAmB,QAAQ,SAASpP,EAAE,CAAC,QAAQ,eAAe,qBAAqBA,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOvG,EAAE,KAAK,CAAC,GAAG,EAAE,OAAO0F,GAAI,UAAU,OAAOC,GAAI,SAASA,EAAG,QAAQC,EAAG,OAAO,QAAQ,YAAY,OAAO,IAAI,OAAO,CAAC,EAAE,UAAU,CAAC,OAAOA,CAAE,CAAC,EAAE,OAAOF,GAAI,WAAWA,EAAG,8BAA8BE,EAAG,CAAC,EAAMkQ,GAAGzW,GAAG,CAAC0W,EAAIC,IAAK,CAACA,EAAG,QAAQ,mBAAmB;AAAA,okEACrnvB,CAAC,EAAMC,GAAG5W,GAAG,CAAC6W,EAAGC,IAAK,CAAC,IAAIC,GAAI,IAAI,CAAC,IAAIlX,EAAE,OAAO,UAAU,aAAa,SAAS,cAAc,SAAS,cAAc,IAAI,OAAO,OAAO,OAAO,YAAY,cAAcA,EAAEA,GAAG,YAAY,SAASc,EAAE,CAACA,EAAEA,GAAG,CAAC,EAAE,IAAIZ,EAAE,OAAOY,GAAG,YAAYA,EAAE,CAAC,EAAER,EAAE,EAAEJ,EAAE,MAAM,IAAI,QAAQ,SAASqT,EAAEC,GAAG,CAAClT,EAAEiT,EAAE,EAAEC,EAAE,CAAC,EAAE,IAAIzR,EAAE,OAAO,SAAS,aAAa,QAAQ,YAAYA,EAAE,CAAC,kBAAkB,QAAQ,UAAU,mBAAmB,EAAE,mBAAmB,QAAQ,UAAU,oBAAoB,CAAC,GAAG,IAAIC,EAAE,OAAO,OAAO,CAAC,EAAE9B,CAAC,EAAE+B,EAAE,CAAC,EAAEC,EAAE,iBAAiBC,EAAE,CAACoR,EAAEC,KAAK,CAAC,MAAMA,EAAE,EAAE5Q,EAAE,OAAO,QAAQ,SAASC,EAAE,OAAO,eAAe,WAAWC,EAAE,OAAO,SAAS,UAAU,OAAO,QAAQ,UAAU,UAAU,OAAO,QAAQ,SAAS,MAAM,SAASC,EAAE,GAAG,SAASC,EAAEuQ,EAAE,CAAC,OAAOrT,EAAE,WAAWA,EAAE,WAAWqT,EAAExQ,CAAC,EAAEA,EAAEwQ,CAAC,CAAC,IAAIrP,EAAEC,EAAEoD,EAAExC,EAAE,SAASJ,EAAE4O,EAAE,CAAIA,aAAalJ,IAAU7C,EAAE,6BAA6B+L,CAAC,CAAC,CAAC,GAAGzQ,EAAE,CAACD,EAAEE,EAAEoD,GAAG,EAAE,QAAQpD,CAAC,EAAE,IAAIA,EAAE,UAAU,IAAI,IAAI,EAAE8B,EAAE,OAAO9E,IAAI,aAAa,EAAEmG,GAAG,EAAErB,EAAEsB,GAAG,GAAGjC,EAAE,CAACqP,EAAEC,MAAMD,EAAE1O,EAAE,UAAU0O,CAAC,EAAE,EAAE,aAAaA,EAAEC,GAAG,OAAO,MAAM,GAAGjM,EAAEgM,GAAG,CAAC,IAAIC,GAAGtP,EAAEqP,EAAE,EAAE,EAAE,OAAOC,GAAG,SAASA,GAAG,IAAI,WAAWA,EAAE,GAAGA,EAAE,EAAErP,EAAE,CAACoP,EAAEC,GAAGC,KAAK,CAACF,EAAE1O,EAAE,UAAU0O,CAAC,EAAE,EAAE,SAASA,EAAE,SAASG,GAAGC,GAAG,CAACD,GAAGD,GAAGC,EAAE,EAAEF,GAAGG,GAAG,MAAM,CAAC,CAAC,CAAC,EAAE,QAAQ,KAAK,OAAO,IAAIzR,EAAE,QAAQ,KAAK,GAAG,QAAQ,MAAM,GAAG,GAAGD,EAAE,QAAQ,KAAK,MAAM,CAAC,EAAE,QAAQ,GAAG,oBAAoB,SAASsR,EAAE,CAAC,GAAG,EAAEA,aAAalJ,IAAI,MAAMkJ,CAAC,CAAC,EAAE,QAAQ,GAAG,qBAAqB,SAASA,EAAE,CAAC,MAAMA,CAAC,CAAC,EAAEpR,EAAE,CAACoR,EAAEC,KAAK,CAAC,GAAGzM,GAAG,EAAE,MAAM,QAAQ,SAASwM,EAAEC,GAAG7O,EAAE6O,EAAE,EAAE,QAAQ,KAAKD,CAAC,CAAC,EAAErT,EAAE,QAAQ,UAAU,CAAC,MAAM,4BAA4B,CAAC,MAAM0C,GAAGC,KAAKA,EAAEE,EAAE,KAAK,SAAS,KAAK,OAAO,UAAU,aAAa,SAAS,gBAAgBA,EAAE,SAAS,cAAc,KAAK/C,IAAI+C,EAAE/C,GAAG+C,EAAE,QAAQ,OAAO,IAAI,EAAEA,EAAEA,EAAE,OAAO,EAAEA,EAAE,QAAQ,SAAS,EAAE,EAAE,YAAY,GAAG,EAAE,CAAC,EAAEA,EAAE,GAAGmB,EAAEqP,GAAG,CAAC,IAAIC,GAAG,IAAI,eAAe,OAAOA,GAAG,KAAK,MAAMD,EAAE,EAAE,EAAEC,GAAG,KAAK,IAAI,EAAEA,GAAG,YAAY,EAAE3Q,IAAI0E,EAAEgM,GAAG,CAAC,IAAIC,GAAG,IAAI,eAAe,OAAOA,GAAG,KAAK,MAAMD,EAAE,EAAE,EAAEC,GAAG,aAAa,cAAcA,GAAG,KAAK,IAAI,EAAE,IAAI,WAAWA,GAAG,QAAQ,CAAC,GAAGrP,EAAE,CAACoP,EAAEC,GAAGC,KAAK,CAAC,IAAIC,GAAG,IAAI,eAAeA,GAAG,KAAK,MAAMH,EAAE,EAAE,EAAEG,GAAG,aAAa,cAAcA,GAAG,OAAO,IAAI,CAAC,GAAGA,GAAG,QAAQ,KAAKA,GAAG,QAAQ,GAAGA,GAAG,SAAS,CAACF,GAAGE,GAAG,QAAQ,EAAE,MAAM,CAACD,GAAG,CAAC,EAAEC,GAAG,QAAQD,GAAGC,GAAG,KAAK,IAAI,CAAC,EAAE3O,EAAEwO,GAAG,SAAS,MAAMA,GAAG,IAAIzO,EAAE5E,EAAE,OAAO,QAAQ,IAAI,KAAK,OAAO,EAAEsH,EAAEtH,EAAE,UAAU,QAAQ,KAAK,KAAK,OAAO,EAAE,OAAO,OAAOA,EAAE8B,CAAC,EAAEA,EAAE,KAAK9B,EAAE,YAAY+B,EAAE/B,EAAE,WAAWA,EAAE,cAAcgC,EAAEhC,EAAE,aAAaA,EAAE,OAAOiC,EAAEjC,EAAE,MAAM,IAAI8E,EAAE,EAAEyC,EAAEvH,EAAE,aAAauH,EAAEvH,EAAE,YAAY,IAAI+E,EAAE/E,EAAE,eAAe,GAAG,OAAO,aAAa,UAAUyJ,GAAG,iCAAiC,EAAE,IAAIzE,EAAEC,EAAE,GAAGC,EAAE,SAAS,EAAEmO,EAAEC,GAAG,CAACD,GAAG5J,GAAG6J,EAAE,CAAC,CAAC,IAAIlO,EAAE,OAAO,aAAa,YAAY,IAAI,YAAY,MAAM,EAAE,OAAO,SAAS2C,EAAEsL,EAAEC,GAAGC,GAAG,CAAC,QAAQC,GAAGF,GAAGC,GAAGE,GAAGH,GAAGD,EAAEI,KAAK,EAAEA,IAAID,KAAK,EAAEC,GAAG,GAAGA,GAAGH,GAAG,IAAID,EAAE,QAAQjO,EAAE,OAAOA,EAAE,OAAOiO,EAAE,SAASC,GAAGG,EAAE,CAAC,EAAE,QAAQC,GAAG,GAAGJ,GAAGG,IAAI,CAAC,IAAIE,GAAGN,EAAEC,MAAM,GAAG,EAAEK,GAAG,KAAK,CAACD,IAAI,OAAO,aAAaC,EAAE,EAAE,QAAQ,CAAC,IAAIC,GAAGP,EAAEC,MAAM,GAAG,IAAIK,GAAG,MAAM,IAAI,CAACD,IAAI,OAAO,cAAcC,GAAG,KAAK,EAAEC,EAAE,EAAE,QAAQ,CAAC,IAAIC,GAAGR,EAAEC,MAAM,GAAG,IAAIK,GAAG,MAAM,IAAIA,IAAIA,GAAG,KAAK,GAAGC,IAAI,EAAEC,GAAGF,IAAIA,GAAG,IAAI,GAAGC,IAAI,GAAGC,IAAI,EAAER,EAAEC,MAAM,GAAGK,GAAG,MAAMD,IAAI,OAAO,aAAaC,EAAE,MAAM,CAAC,IAAIG,GAAGH,GAAG,MAAMD,IAAI,OAAO,aAAa,MAAMI,IAAI,GAAG,MAAMA,GAAG,IAAI,CAAC,CAAC,CAAC,OAAOJ,EAAE,CAAC,SAASjM,EAAE4L,EAAEC,GAAG,CAAC,OAAOD,EAAEtL,EAAEK,GAAGiL,EAAEC,EAAE,EAAE,EAAE,CAAC,SAAStL,GAAEqL,EAAEC,GAAGC,GAAGC,GAAG,CAAC,GAAG,EAAEA,GAAG,GAAG,MAAO,GAAE,QAAQC,GAAGF,GAAGG,GAAGH,GAAGC,GAAG,EAAEG,GAAG,EAAEA,GAAGN,EAAE,OAAO,EAAEM,GAAG,CAAC,IAAIC,GAAGP,EAAE,WAAWM,EAAE,EAAE,GAAGC,IAAI,OAAOA,IAAI,MAAM,CAAC,IAAIC,GAAGR,EAAE,WAAW,EAAEM,EAAE,EAAEC,GAAG,QAAQA,GAAG,OAAO,IAAIC,GAAG,IAAI,CAAC,GAAGD,IAAI,IAAI,CAAC,GAAGL,IAAIG,GAAG,MAAMJ,GAAGC,MAAMK,EAAE,SAASA,IAAI,KAAK,CAAC,GAAGL,GAAG,GAAGG,GAAG,MAAMJ,GAAGC,MAAM,IAAIK,IAAI,EAAEN,GAAGC,MAAM,IAAIK,GAAG,EAAE,SAASA,IAAI,MAAM,CAAC,GAAGL,GAAG,GAAGG,GAAG,MAAMJ,GAAGC,MAAM,IAAIK,IAAI,GAAGN,GAAGC,MAAM,IAAIK,IAAI,EAAE,GAAGN,GAAGC,MAAM,IAAIK,GAAG,EAAE,KAAK,CAAC,GAAGL,GAAG,GAAGG,GAAG,MAAMJ,GAAGC,MAAM,IAAIK,IAAI,GAAGN,GAAGC,MAAM,IAAIK,IAAI,GAAG,GAAGN,GAAGC,MAAM,IAAIK,IAAI,EAAE,GAAGN,GAAGC,MAAM,IAAIK,GAAG,EAAE,CAAC,CAAC,OAAON,GAAGC,IAAI,EAAEA,GAAGE,EAAE,CAAC,SAASxL,GAAGoL,EAAEC,GAAGC,GAAG,CAAC,OAAOvL,GAAEqL,EAAEjL,GAAGkL,GAAGC,EAAE,CAAC,CAAC,IAAIrL,GAAGC,GAAGC,GAAGC,GAAG5B,GAAG8B,GAAGC,GAAGC,GAAGC,GAAG,SAASC,GAAG0K,EAAE,CAACnL,GAAGmL,EAAErT,EAAE,MAAMmI,GAAG,IAAI,UAAUkL,CAAC,EAAErT,EAAE,OAAOqI,GAAG,IAAI,WAAWgL,CAAC,EAAErT,EAAE,OAAOuI,GAAG,IAAI,WAAW8K,CAAC,EAAErT,EAAE,OAAOoI,GAAG,IAAI,WAAWiL,CAAC,EAAErT,EAAE,QAAQyG,GAAG,IAAI,YAAY4M,CAAC,EAAErT,EAAE,QAAQwI,GAAG,IAAI,YAAY6K,CAAC,EAAErT,EAAE,QAAQyI,GAAG,IAAI,aAAa4K,CAAC,EAAErT,EAAE,QAAQ0I,GAAG,IAAI,aAAa2K,CAAC,CAAC,CAAC,IAAIzK,GAAG5I,EAAE,gBAAgB,SAASiJ,GAAGC,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAEzC,GAAG,CAAC,EAAEE,GAAG,GAAG,SAASC,IAAI,CAAC,OAAO9B,CAAC,CAAC,SAAS+B,IAAI,CAAC,GAAG9G,EAAE,OAAO,IAAI,OAAOA,EAAE,QAAQ,aAAaA,EAAE,OAAO,CAACA,EAAE,MAAM,GAAGA,EAAE,OAAO,QAAQgH,GAAGhH,EAAE,OAAO,MAAM,CAAC,EAAEoK,GAAGlB,EAAE,CAAC,CAAC,SAASE,IAAI,CAACxC,GAAG,GAAGwD,GAAGjB,EAAE,CAAC,CAAC,SAASpC,IAAI,CAAC,GAAG/G,EAAE,QAAQ,IAAI,OAAOA,EAAE,SAAS,aAAaA,EAAE,QAAQ,CAACA,EAAE,OAAO,GAAGA,EAAE,QAAQ,QAAQkH,GAAGlH,EAAE,QAAQ,MAAM,CAAC,EAAEoK,GAAG1D,EAAE,CAAC,CAAC,SAASM,GAAGqM,EAAE,CAACnK,GAAG,QAAQmK,CAAC,CAAC,CAAC,SAASpM,GAAGoM,EAAE,CAAClK,GAAG,QAAQkK,CAAC,CAAC,CAAC,SAASnM,GAAGmM,EAAE,CAAC3M,GAAG,QAAQ2M,CAAC,CAAC,CAAC,IAAI1M,GAAG,EAAE0C,GAAG,KAAKC,GAAG,KAAK,SAASC,GAAG8J,EAAE,CAAC1M,KAAK3G,EAAE,wBAAwBA,EAAE,uBAAuB2G,EAAE,CAAC,CAAC,SAAS6C,GAAG6J,EAAE,CAAC,GAAG1M,KAAK3G,EAAE,wBAAwBA,EAAE,uBAAuB2G,EAAE,EAAEA,IAAI,IAAI0C,KAAK,OAAO,cAAcA,EAAE,EAAEA,GAAG,MAAMC,IAAI,CAAC,IAAIgK,GAAGhK,GAAGA,GAAG,KAAKgK,GAAG,CAAC,CAAC,CAAC,SAAS7J,GAAG4J,EAAE,CAACrT,EAAE,SAASA,EAAE,QAAQqT,CAAC,EAAEA,EAAE,WAAWA,EAAE,IAAI/L,EAAE+L,CAAC,EAAEpO,EAAE,GAAGC,EAAE,EAAEmO,GAAG,2CAA2C,IAAIC,GAAG,IAAI,YAAY,aAAaD,CAAC,EAAE,MAAM,EAAEC,EAAE,EAAEA,EAAE,CAAC,IAAI5J,GAAG,wCAAwC,SAAS5B,GAAGuL,EAAE,CAAC,OAAOA,EAAE,WAAW3J,EAAE,CAAC,CAAC,SAASC,GAAG0J,EAAE,CAAC,OAAOA,EAAE,WAAW,SAAS,CAAC,CAAC,IAAIvJ,GAAGA,GAAG,yBAAyBhC,GAAGgC,EAAE,IAAIA,GAAGhH,EAAEgH,EAAE,GAAG,SAASC,GAAGsJ,EAAE,CAAC,GAAG,CAAC,GAAGA,GAAGvJ,IAAIvC,EAAE,OAAO,IAAI,WAAWA,CAAC,EAAE,GAAGF,EAAE,OAAOA,EAAEgM,CAAC,EAAE,KAAK,iDAAiD,OAAOC,GAAN,CAAU7J,GAAG6J,EAAE,CAAC,CAAC,CAAC,SAAS1J,IAAI,CAAC,GAAG,CAACrC,IAAI7E,GAAGC,GAAG,CAAC,GAAG,OAAO,OAAO,YAAY,CAACgH,GAAGG,EAAE,EAAE,OAAO,MAAMA,GAAG,CAAC,YAAY,aAAa,CAAC,EAAE,KAAK,SAASuJ,EAAE,CAAC,GAAG,CAACA,EAAE,GAAG,KAAK,uCAAuCvJ,GAAG,IAAI,OAAOuJ,EAAE,YAAY,CAAC,CAAC,EAAE,MAAM,UAAU,CAAC,OAAOtJ,GAAGD,EAAE,CAAC,CAAC,EAAE,GAAG7F,EAAE,OAAO,IAAI,QAAQ,SAASoP,EAAEC,GAAG,CAACrP,EAAE6F,GAAG,SAASyJ,GAAG,CAACF,EAAE,IAAI,WAAWE,EAAE,CAAC,CAAC,EAAED,EAAE,CAAC,CAAC,CAAC,CAAC,OAAO,QAAQ,QAAQ,EAAE,KAAK,UAAU,CAAC,OAAOvJ,GAAGD,EAAE,CAAC,CAAC,CAAC,CAAC,SAASG,IAAI,CAAC,IAAIoJ,EAAE,CAAC,IAAI1H,GAAG,uBAAuBA,EAAE,EAAE,SAAS2H,GAAGK,GAAGC,GAAG,CAAC,IAAIC,GAAGF,GAAG,QAAQ3T,EAAE,IAAI6T,GAAG7O,EAAEhF,EAAE,IAAI,OAAO2I,GAAG3D,EAAE,MAAM,EAAEiE,GAAGjJ,EAAE,IAAI,0BAA0BiH,GAAGjH,EAAE,IAAI,iBAAiB,EAAEwJ,GAAG,kBAAkB,CAAC,CAACD,GAAG,kBAAkB,EAAE,SAASgK,GAAGI,GAAG,CAACL,GAAGK,GAAG,QAAQ,CAAC,CAAC,SAASH,GAAGG,GAAG,CAAC,OAAO/J,GAAG,EAAE,KAAK,SAASgK,GAAG,CAAC,OAAO,YAAY,YAAYA,GAAGP,CAAC,CAAC,CAAC,EAAE,KAAK,SAASO,GAAG,CAAC,OAAOA,EAAE,CAAC,EAAE,KAAKD,GAAG,SAASC,GAAG,CAACtM,EAAE,0CAA0CsM,EAAE,EAAEnK,GAAGmK,EAAE,CAAC,CAAC,CAAC,CAAC,SAASH,IAAI,CAAC,MAAM,CAAClM,GAAG,OAAO,YAAY,sBAAsB,YAAY,CAACO,GAAGgC,EAAE,GAAG,CAACH,GAAGG,EAAE,GAAG,CAAClH,GAAG,OAAO,OAAO,WAAW,MAAMkH,GAAG,CAAC,YAAY,aAAa,CAAC,EAAE,KAAK,SAAS6J,GAAG,CAAC,IAAIC,GAAG,YAAY,qBAAqBD,GAAGN,CAAC,EAAE,OAAOO,GAAG,KAAKL,GAAG,SAASM,GAAG,CAAC,OAAOvM,EAAE,kCAAkCuM,EAAE,EAAEvM,EAAE,2CAA2C,EAAEkM,GAAGD,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEC,GAAGD,EAAE,CAAC,CAAC,GAAGvT,EAAE,gBAAgB,GAAG,CAAC,IAAI0T,GAAG1T,EAAE,gBAAgBqT,EAAEC,EAAE,EAAE,OAAOI,EAAE,OAAOC,GAAN,CAAUrM,EAAE,sDAAsDqM,EAAE,EAAE,EAAEA,EAAE,CAAC,CAAC,OAAOF,GAAG,EAAE,MAAM,CAAC,EAAE,CAAC,CAAC,CAAC,IAAIzJ,GAAGE,GAAG,SAASC,GAAGkJ,EAAE,CAAC,KAAK,KAAK,aAAa,KAAK,QAAQ,gCAAgCA,EAAE,IAAI,KAAK,OAAOA,CAAC,CAAC,SAASjJ,GAAGiJ,EAAE,CAAC,KAAKA,EAAE,OAAO,GAAGA,EAAE,MAAM,EAAErT,CAAC,CAAC,CAAC,SAASqK,GAAGgJ,EAAE,CAAC,OAAOA,CAAC,CAAC,SAAS/I,GAAG+I,EAAE,CAAC,IAAIC,GAAG,gBAAgB,OAAOD,EAAE,QAAQC,GAAG,SAASC,GAAG,CAAC,IAAIC,GAAGD,GAAG,OAAOA,KAAKC,GAAGD,GAAGC,GAAG,KAAKD,GAAG,GAAG,CAAC,CAAC,CAAC,SAASjL,IAAI,CAAC,IAAI+K,EAAE,IAAI,MAAM,GAAG,CAACA,EAAE,MAAM,CAAC,GAAG,CAAC,MAAM,IAAI,KAAK,OAAOC,GAAN,CAAUD,EAAEC,EAAE,CAAC,GAAG,CAACD,EAAE,MAAM,MAAM,4BAA4B,CAAC,OAAOA,EAAE,MAAM,SAAS,CAAC,CAAC,SAAS9I,GAAG8I,EAAEC,GAAG,CAACnL,GAAG,IAAIkL,EAAEC,EAAE,CAAC,CAAC,SAAS9I,IAAI,CAACf,GAAG,EAAE,CAAC,CAAC,SAASgB,IAAI,CAAC,MAAO,WAAU,CAAC,SAASC,IAAI,CAAC,OAAOD,GAAG,CAAC,CAAC,SAASE,GAAG0I,EAAEC,GAAGC,GAAG,CAACnL,GAAG,WAAWiL,EAAEC,GAAGA,GAAGC,EAAE,CAAC,CAAC,SAAS3I,GAAGyI,EAAE,CAAC,GAAG,CAAC,OAAOrO,EAAE,KAAKqO,EAAEnL,GAAG,WAAW,QAAQ,EAAE,EAAES,GAAG3D,EAAE,MAAM,EAAE,CAAC,OAAOsO,GAAN,CAAU,CAAC,CAAC,SAASzI,GAAGwI,EAAE,CAAC,IAAIC,GAAGlL,GAAG,OAAOiL,EAAEA,IAAI,EAAE,IAAIE,GAAG9I,GAAG,EAAE,GAAG4I,EAAEE,GAAG,MAAM,GAAG,IAAIC,GAAG,CAACK,GAAGC,KAAKD,IAAIC,GAAGD,GAAGC,IAAIA,GAAG,QAAQL,GAAG,EAAEA,IAAI,EAAEA,IAAI,EAAE,CAAC,IAAIC,GAAGJ,IAAI,EAAE,GAAGG,IAAIC,GAAG,KAAK,IAAIA,GAAGL,EAAE,SAAS,EAAE,IAAIM,GAAG,KAAK,IAAIJ,GAAGC,GAAG,KAAK,IAAIH,EAAEK,EAAE,EAAE,KAAK,CAAC,EAAEE,GAAGhJ,GAAG+I,EAAE,EAAE,GAAGC,GAAG,MAAM,EAAE,CAAC,MAAM,EAAE,CAAC,IAAI1I,GAAG,CAAC,QAAQ,OAAO,IAAI,UAAU,CAACA,GAAG,SAAS,EAAE,IAAImI,EAAE9K,GAAG2C,GAAG,QAAQ,GAAG,GAAG,OAAOmI,CAAC,EAAE,OAAO,SAASA,EAAE,CAAC,IAAIC,GAAG7L,EAAE4L,CAAC,EAAE,OAAOC,EAAE,CAAC,EAAE,SAASnI,GAAGkI,EAAE,CAAC,MAAO,GAAE,CAAC,SAASjI,GAAGiI,EAAEC,GAAGC,GAAGC,GAAGC,GAAG,CAAC,MAAO,GAAE,CAAC,IAAIjM,GAAG,CAAC,KAAK,CAAC,EAAE,CAAC,CAAC,EAAE,SAAS6D,GAAGgI,EAAEC,GAAG,CAAC,IAAIC,GAAG/L,GAAG6L,GAAGC,KAAK,GAAGA,KAAK,KAAKD,IAAI,EAAEzO,EAAE0C,GAAGS,EAAEwL,GAAG,CAAC,CAAC,EAAEA,GAAG,OAAO,GAAGA,GAAG,KAAKD,EAAE,CAAC,CAAC,SAAS/H,GAAG8H,EAAEC,GAAGC,GAAGC,GAAG,CAAC,QAAQC,GAAG,EAAEC,GAAG,EAAEA,GAAGH,GAAGG,KAAK,CAAC,IAAIC,GAAGnL,GAAG8K,IAAI,GAAGM,GAAGpL,GAAG8K,GAAG,GAAG,GAAGA,IAAI,EAAE,QAAQO,GAAG,EAAEA,GAAGD,GAAGC,KAAKxI,GAAGgI,EAAEjL,GAAGuL,GAAGE,GAAG,EAAEJ,IAAIG,EAAE,CAAC,OAAOpL,GAAGgL,IAAI,GAAGC,GAAG,CAAC,CAAC,SAASjI,GAAG6H,EAAE,CAAC,IAAIC,GAAGtT,EAAE,IAAIqT,GAAG,OAAOC,EAAE,CAAC,SAAS7H,GAAG4H,EAAEC,GAAGC,GAAGC,GAAGC,GAAG,CAAC,IAAIC,GAAG,CAAC,OAAOS,IAAI,CAAC,IAAIC,GAAG,EAAE,GAAGD,IAAI,MAAMA,KAAK,EAAE,CAAC,IAAIE,IAAIF,GAAG,QAAQ,GAAG,EAAEC,GAAGvB,GAAGwB,EAAE,EAAEpM,GAAGkM,GAAGC,GAAGC,EAAE,CAAC,CAAC,OAAOD,EAAE,EAAE,MAAMD,IAAI,CAAC,IAAIC,GAAGvB,GAAGsB,GAAG,MAAM,EAAE,OAAO5J,GAAG4J,GAAGC,EAAE,EAAEA,EAAE,CAAC,EAAE,SAAST,GAAGQ,GAAG,CAAC,OAAOb,KAAK,SAAS7L,EAAE0M,EAAE,EAAEb,KAAK,UAAU,QAAQa,EAAE,EAAEA,EAAE,CAAC,IAAIP,GAAGpI,GAAG6H,CAAC,EAAEQ,GAAG,CAAC,EAAEC,GAAG,EAAE,GAAGN,GAAG,QAAQO,GAAG,EAAEA,GAAGP,GAAG,OAAOO,KAAK,CAAC,IAAIC,GAAGN,GAAGH,GAAGQ,KAAKC,IAAIF,KAAK,IAAIA,GAAGnB,GAAG,GAAGkB,GAAGE,IAAIC,GAAGR,GAAGO,GAAG,GAAGF,GAAGE,IAAIP,GAAGO,GAAG,CAAC,IAAIE,GAAGL,GAAG,MAAM,KAAKC,EAAE,EAAE,SAASK,GAAGC,GAAG,CAAC,OAAOL,KAAK,GAAGlB,GAAGkB,EAAE,EAAEH,GAAGQ,EAAE,CAAC,CAAC,OAAOF,GAAGC,GAAGD,EAAE,EAAEA,EAAE,CAAC,SAASvI,GAAG2H,EAAEC,GAAGC,GAAGC,GAAG,CAACD,GAAGA,IAAI,CAAC,EAAE,IAAIE,GAAGF,GAAG,MAAMI,IAAIA,KAAK,UAAUA,KAAK,SAAS,EAAED,GAAGJ,KAAK,SAAS,OAAOI,IAAID,IAAI,CAACD,GAAGhI,GAAG6H,CAAC,EAAE,UAAU,CAAC,OAAO5H,GAAG4H,EAAEC,GAAGC,GAAG,UAAUC,EAAE,CAAC,CAAC,CAAC,IAAI7H,GAAG,CAAC,MAAMnB,GAAG,wBAAwBE,GAAG,sBAAsBC,GAAG,uBAAuBE,GAAG,SAASM,GAAG,QAAQC,GAAG,SAASG,EAAE,EAAEM,GAAG5B,GAAG,EAAE8B,GAAG/L,EAAE,mBAAmB,UAAU,CAAC,OAAO+L,GAAG/L,EAAE,mBAAmBA,EAAE,IAAI,mBAAmB,MAAM,KAAK,SAAS,CAAC,EAAEgM,GAAGhM,EAAE,MAAM,UAAU,CAAC,OAAOgM,GAAGhM,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEgL,GAAGhL,EAAE,yBAAyB,UAAU,CAAC,OAAOgL,GAAGhL,EAAE,yBAAyBA,EAAE,IAAI,yBAAyB,MAAM,KAAK,SAAS,CAAC,EAAE6J,GAAG7J,EAAE,mBAAmB,UAAU,CAAC,OAAO6J,GAAG7J,EAAE,mBAAmBA,EAAE,IAAI,mBAAmB,MAAM,KAAK,SAAS,CAAC,EAAEmM,GAAGnM,EAAE,iBAAiB,UAAU,CAAC,OAAOmM,GAAGnM,EAAE,iBAAiBA,EAAE,IAAI,iBAAiB,MAAM,KAAK,SAAS,CAAC,EAAEsM,GAAGtM,EAAE,cAAc,UAAU,CAAC,OAAOsM,GAAGtM,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEuM,GAAGvM,EAAE,SAAS,UAAU,CAAC,OAAOuM,GAAGvM,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEwM,GAAGxM,EAAE,KAAK,UAAU,CAAC,OAAOwM,GAAGxM,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE8L,GAAG9L,EAAE,KAAK,UAAU,CAAC,OAAO8L,GAAG9L,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE0M,GAAG1M,EAAE,MAAM,UAAU,CAAC,OAAO0M,GAAG1M,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE2M,GAAG3M,EAAE,KAAK,UAAU,CAAC,OAAO2M,GAAG3M,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE4M,GAAG5M,EAAE,KAAK,UAAU,CAAC,OAAO4M,GAAG5M,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE8M,GAAG9M,EAAE,QAAQ,UAAU,CAAC,OAAO8M,GAAG9M,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAE+K,GAAG/K,EAAE,SAAS,UAAU,CAAC,OAAO+K,GAAG/K,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE+M,GAAG/M,EAAE,aAAa,UAAU,CAAC,OAAO+M,GAAG/M,EAAE,aAAaA,EAAE,IAAI,aAAa,MAAM,KAAK,SAAS,CAAC,EAAEgN,GAAGhN,EAAE,MAAM,UAAU,CAAC,OAAOgN,GAAGhN,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEkN,GAAGlN,EAAE,aAAa,UAAU,CAAC,OAAOkN,GAAGlN,EAAE,aAAaA,EAAE,IAAI,aAAa,MAAM,KAAK,SAAS,CAAC,EAAEmN,GAAGnN,EAAE,QAAQ,UAAU,CAAC,OAAOmN,GAAGnN,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEoN,GAAGpN,EAAE,qBAAqB,UAAU,CAAC,OAAOoN,GAAGpN,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAEqN,GAAGrN,EAAE,KAAK,UAAU,CAAC,OAAOqN,GAAGrN,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEsN,GAAGtN,EAAE,MAAM,UAAU,CAAC,OAAOsN,GAAGtN,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEuN,GAAGvN,EAAE,eAAe,UAAU,CAAC,OAAOuN,GAAGvN,EAAE,eAAeA,EAAE,IAAI,eAAe,MAAM,KAAK,SAAS,CAAC,EAAEkM,GAAGlM,EAAE,SAAS,UAAU,CAAC,OAAOkM,GAAGlM,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEyN,GAAGzN,EAAE,QAAQ,UAAU,CAAC,OAAOyN,GAAGzN,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAE0N,GAAG1N,EAAE,cAAc,UAAU,CAAC,OAAO0N,GAAG1N,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAE2N,GAAG3N,EAAE,uBAAuB,UAAU,CAAC,OAAO2N,GAAG3N,EAAE,uBAAuBA,EAAE,IAAI,uBAAuB,MAAM,KAAK,SAAS,CAAC,EAAE4N,GAAG5N,EAAE,KAAK,UAAU,CAAC,OAAO4N,GAAG5N,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE6N,GAAG7N,EAAE,OAAO,UAAU,CAAC,OAAO6N,GAAG7N,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAE8N,GAAG9N,EAAE,KAAK,UAAU,CAAC,OAAO8N,GAAG9N,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE+N,GAAG/N,EAAE,eAAe,UAAU,CAAC,OAAO+N,GAAG/N,EAAE,eAAeA,EAAE,IAAI,eAAe,MAAM,KAAK,SAAS,CAAC,EAAEgO,GAAGhO,EAAE,OAAO,UAAU,CAAC,OAAOgO,GAAGhO,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEiO,GAAGjO,EAAE,UAAU,UAAU,CAAC,OAAOiO,GAAGjO,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAEkO,GAAGlO,EAAE,gBAAgB,UAAU,CAAC,OAAOkO,GAAGlO,EAAE,gBAAgBA,EAAE,IAAI,gBAAgB,MAAM,KAAK,SAAS,CAAC,EAAEmO,GAAGnO,EAAE,aAAa,UAAU,CAAC,OAAOmO,GAAGnO,EAAE,aAAaA,EAAE,IAAI,aAAa,MAAM,KAAK,SAAS,CAAC,EAAE4L,GAAG5L,EAAE,sBAAsB,UAAU,CAAC,OAAO4L,GAAG5L,EAAE,sBAAsBA,EAAE,IAAI,sBAAsB,MAAM,KAAK,SAAS,CAAC,EAAEsO,GAAGtO,EAAE,QAAQ,UAAU,CAAC,OAAOsO,GAAGtO,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEuO,GAAGvO,EAAE,UAAU,UAAU,CAAC,OAAOuO,GAAGvO,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAEyO,GAAGzO,EAAE,SAAS,UAAU,CAAC,OAAOyO,GAAGzO,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE0O,GAAG1O,EAAE,cAAc,UAAU,CAAC,OAAO0O,GAAG1O,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAE2O,GAAG3O,EAAE,WAAW,UAAU,CAAC,OAAO2O,GAAG3O,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAE4O,GAAG5O,EAAE,MAAM,UAAU,CAAC,OAAO4O,GAAG5O,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE6O,GAAG7O,EAAE,WAAW,UAAU,CAAC,OAAO6O,GAAG7O,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAE8O,GAAG9O,EAAE,KAAK,UAAU,CAAC,OAAO8O,GAAG9O,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE+O,GAAG/O,EAAE,YAAY,UAAU,CAAC,OAAO+O,GAAG/O,EAAE,YAAYA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAEgP,GAAGhP,EAAE,YAAY,UAAU,CAAC,OAAOgP,GAAGhP,EAAE,YAAYA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAEiP,GAAGjP,EAAE,WAAW,UAAU,CAAC,OAAOiP,GAAGjP,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEkP,GAAGlP,EAAE,YAAY,UAAU,CAAC,OAAOkP,GAAGlP,EAAE,YAAYA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAEyP,GAAGzP,EAAE,KAAK,UAAU,CAAC,OAAOyP,GAAGzP,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEwO,GAAGxO,EAAE,SAAS,UAAU,CAAC,OAAOwO,GAAGxO,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE8K,GAAG9K,EAAE,SAAS,UAAU,CAAC,OAAO8K,GAAG9K,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE0P,GAAG1P,EAAE,MAAM,UAAU,CAAC,OAAO0P,GAAG1P,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE2P,GAAG3P,EAAE,KAAK,UAAU,CAAC,OAAO2P,GAAG3P,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE4P,GAAG5P,EAAE,SAAS,UAAU,CAAC,OAAO4P,GAAG5P,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE6P,GAAG7P,EAAE,WAAW,UAAU,CAAC,OAAO6P,GAAG7P,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAE8P,GAAG9P,EAAE,UAAU,UAAU,CAAC,OAAO8P,GAAG9P,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAE+P,GAAG/P,EAAE,KAAK,UAAU,CAAC,OAAO+P,GAAG/P,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEgQ,GAAGhQ,EAAE,qBAAqB,UAAU,CAAC,OAAOgQ,GAAGhQ,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAEiQ,GAAGjQ,EAAE,qBAAqB,UAAU,CAAC,OAAOiQ,GAAGjQ,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAEkQ,GAAGlQ,EAAE,qBAAqB,UAAU,CAAC,OAAOkQ,GAAGlQ,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAEmQ,GAAGnQ,EAAE,UAAU,UAAU,CAAC,OAAOmQ,GAAGnQ,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAEoQ,GAAGpQ,EAAE,QAAQ,UAAU,CAAC,OAAOoQ,GAAGpQ,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEqQ,GAAGrQ,EAAE,OAAO,UAAU,CAAC,OAAOqQ,GAAGrQ,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEsQ,GAAGtQ,EAAE,KAAK,UAAU,CAAC,OAAOsQ,GAAGtQ,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEuQ,GAAGvQ,EAAE,OAAO,UAAU,CAAC,OAAOuQ,GAAGvQ,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEwQ,GAAGxQ,EAAE,MAAM,UAAU,CAAC,OAAOwQ,GAAGxQ,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEyQ,GAAGzQ,EAAE,SAAS,UAAU,CAAC,OAAOyQ,GAAGzQ,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE0Q,GAAG1Q,EAAE,MAAM,UAAU,CAAC,OAAO0Q,GAAG1Q,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE2Q,GAAG3Q,EAAE,OAAO,UAAU,CAAC,OAAO2Q,GAAG3Q,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAE4Q,GAAG5Q,EAAE,gBAAgB,UAAU,CAAC,OAAO4Q,GAAG5Q,EAAE,gBAAgBA,EAAE,IAAI,gBAAgB,MAAM,KAAK,SAAS,CAAC,EAAE6Q,GAAG7Q,EAAE,uBAAuB,UAAU,CAAC,OAAO6Q,GAAG7Q,EAAE,uBAAuBA,EAAE,IAAI,uBAAuB,MAAM,KAAK,SAAS,CAAC,EAAE8Q,GAAG9Q,EAAE,SAAS,UAAU,CAAC,OAAO8Q,GAAG9Q,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE+Q,GAAG/Q,EAAE,kBAAkB,UAAU,CAAC,OAAO+Q,GAAG/Q,EAAE,kBAAkBA,EAAE,IAAI,kBAAkB,MAAM,KAAK,SAAS,CAAC,EAAEgR,GAAGhR,EAAE,OAAO,UAAU,CAAC,OAAOgR,GAAGhR,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEiR,GAAGjR,EAAE,OAAO,UAAU,CAAC,OAAOiR,GAAGjR,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEkR,GAAGlR,EAAE,WAAW,UAAU,CAAC,OAAOkR,GAAGlR,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEmR,GAAGnR,EAAE,UAAU,UAAU,CAAC,OAAOmR,GAAGnR,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAEoR,GAAGpR,EAAE,SAAS,UAAU,CAAC,OAAOoR,GAAGpR,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEqR,GAAGrR,EAAE,KAAK,UAAU,CAAC,OAAOqR,GAAGrR,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEsR,GAAGtR,EAAE,SAAS,UAAU,CAAC,OAAOsR,GAAGtR,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEuR,GAAGvR,EAAE,qBAAqB,UAAU,CAAC,OAAOuR,GAAGvR,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAEwR,GAAGxR,EAAE,eAAe,UAAU,CAAC,OAAOwR,GAAGxR,EAAE,eAAeA,EAAE,IAAI,eAAe,MAAM,KAAK,SAAS,CAAC,EAAEyR,GAAGzR,EAAE,wBAAwB,UAAU,CAAC,OAAOyR,GAAGzR,EAAE,wBAAwBA,EAAE,IAAI,wBAAwB,MAAM,KAAK,SAAS,CAAC,EAAE0R,GAAG1R,EAAE,MAAM,UAAU,CAAC,OAAO0R,GAAG1R,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE2R,GAAG3R,EAAE,QAAQ,UAAU,CAAC,OAAO2R,GAAG3R,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAE4R,GAAG5R,EAAE,mBAAmB,UAAU,CAAC,OAAO4R,GAAG5R,EAAE,mBAAmBA,EAAE,IAAI,mBAAmB,MAAM,KAAK,SAAS,CAAC,EAAE6R,GAAG7R,EAAE,MAAM,UAAU,CAAC,OAAO6R,GAAG7R,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE8R,GAAG9R,EAAE,cAAc,UAAU,CAAC,OAAO8R,GAAG9R,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAE+R,GAAG/R,EAAE,KAAK,UAAU,CAAC,OAAO+R,GAAG/R,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEgS,GAAGhS,EAAE,KAAK,UAAU,CAAC,OAAOgS,GAAGhS,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEiS,GAAGjS,EAAE,KAAK,UAAU,CAAC,OAAOiS,GAAGjS,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEkS,GAAGlS,EAAE,MAAM,UAAU,CAAC,OAAOkS,GAAGlS,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEmS,GAAGnS,EAAE,MAAM,UAAU,CAAC,OAAOmS,GAAGnS,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEoS,GAAGpS,EAAE,MAAM,UAAU,CAAC,OAAOoS,GAAGpS,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEqS,GAAGrS,EAAE,WAAW,UAAU,CAAC,OAAOqS,GAAGrS,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEsS,GAAGtS,EAAE,WAAW,UAAU,CAAC,OAAOsS,GAAGtS,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEuS,GAAGvS,EAAE,cAAc,UAAU,CAAC,OAAOuS,GAAGvS,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEwS,GAAGxS,EAAE,QAAQ,UAAU,CAAC,OAAOwS,GAAGxS,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEyS,GAAGzS,EAAE,MAAM,UAAU,CAAC,OAAOyS,GAAGzS,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE0S,GAAG1S,EAAE,kBAAkB,UAAU,CAAC,OAAO0S,GAAG1S,EAAE,kBAAkBA,EAAE,IAAI,kBAAkB,MAAM,KAAK,SAAS,CAAC,EAAE2S,GAAG3S,EAAE,UAAU,UAAU,CAAC,OAAO2S,GAAG3S,EAAE,UAAUA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAE4S,GAAG5S,EAAE,aAAa,UAAU,CAAC,OAAO4S,GAAG5S,EAAE,aAAaA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAE6S,GAAG7S,EAAE,WAAW,UAAU,CAAC,OAAO6S,GAAG7S,EAAE,WAAWA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAE8S,GAAG9S,EAAE,iBAAiB,UAAU,CAAC,OAAO8S,GAAG9S,EAAE,iBAAiBA,EAAE,IAAI,kBAAkB,MAAM,KAAK,SAAS,CAAC,EAAE+S,GAAG/S,EAAE,aAAa,UAAU,CAAC,OAAO+S,GAAG/S,EAAE,aAAaA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEA,EAAE,MAAM0L,GAAG,IAAIsH,GAAG1J,GAAG,SAAS+J,GAAG,CAACL,IAAIC,GAAG,EAAED,KAAK1J,GAAG+J,EAAE,EAAE,SAASJ,GAAGI,EAAE,CAAC,GAAGA,EAAEA,GAAGtR,EAAE4E,GAAG,IAAIG,GAAG,EAAEH,GAAG,GAAG,OAAO,SAAS2M,IAAI,CAACN,KAAKA,GAAG,GAAGhT,EAAE,UAAU,GAAG,CAACiF,IAAImE,GAAG,EAAEhJ,EAAEJ,CAAC,EAAEA,EAAE,sBAAsBA,EAAE,qBAAqB,EAAE+G,GAAG,GAAG,CAAC/G,EAAE,WAAWA,EAAE,UAAU,YAAY,EAAE,WAAW,UAAU,CAAC,WAAW,UAAU,CAACA,EAAE,UAAU,EAAE,CAAC,EAAE,CAAC,EAAEsT,GAAG,CAAC,EAAE,CAAC,GAAGA,GAAG,CAAC,CAAC,GAAGtT,EAAE,QAAQ,IAAI,OAAOA,EAAE,SAAS,aAAaA,EAAE,QAAQ,CAACA,EAAE,OAAO,GAAGA,EAAE,QAAQ,OAAO,GAAGA,EAAE,QAAQ,IAAI,EAAE,EAAEiT,GAAG,EAAE,IAAIC,GAAGrR,IAAIqR,GAAG,CAAC,kBAAkB,QAAQ,UAAU,mBAAmB,EAAE,OAAO,SAASG,EAAE,CAAC,MAAM,CAACxR,EAAE,kBAAkB,QAAQwR,CAAC,EAAE,EAAE,CAAC,EAAE,mBAAmB,QAAQ,UAAU,oBAAoB,EAAE,OAAO,SAASA,EAAE,CAAC,MAAM,CAACxR,EAAE,mBAAmB,QAAQwR,CAAC,EAAE,EAAE,CAAC,CAAC,GAAG,IAAIF,GAAG,GAAG,OAAOvS,GAAG,YAAYuS,GAAGvS,UAAU,OAAO,+BAA+B,YAAYuS,GAAG,kCAAmC,OAAM,IAAI,MAAM,uCAAuC,EAAE,GAAGD,GAAG,CAAC,IAAIE,GAAGD,GAAG,SAASA,GAAG,SAAS,UAAU,CAACC,GAAG,EAAEF,GAAG,kBAAkB,QAAQ,SAASG,EAAE,CAAC,QAAQ,eAAe,oBAAoBA,CAAC,CAAC,CAAC,EAAEH,GAAG,mBAAmB,QAAQ,SAASG,EAAE,CAAC,QAAQ,eAAe,qBAAqBA,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOzS,EAAE,KAAK,CAAC,GAAG,EAAE,OAAOkW,GAAI,UAAU,OAAOC,GAAI,SAASA,EAAG,QAAQC,EAAG,OAAO,QAAQ,YAAY,OAAO,IAAI,OAAO,CAAC,EAAE,UAAU,CAAC,OAAOA,CAAE,CAAC,EAAE,OAAOF,GAAI,WAAWA,EAAG,kBAAkBE,EAAG,CAAC,EAAMC,GAAG,KAAK,CAAC,YAAYrW,EAAEZ,EAAE,CAAC,KAAK,QAAQY,EAAE,KAAK,UAAUZ,EAAE,KAAK,KAAK,IAAI,QAAQ,KAAK,aAAa,CAAC,CAAC,IAAIY,EAAE,CAAC,OAAO,KAAK,KAAK,IAAIA,CAAC,GAAG,KAAK,UAAU,SAAS,KAAK,QAAQA,CAAC,EAAE,KAAK,KAAK,IAAIA,CAAC,CAAC,CAAC,IAAIA,EAAEZ,EAAE,CAAC,KAAK,eAAe,KAAK,KAAK,IAAIY,EAAEZ,CAAC,CAAC,CAAC,IAAIY,EAAE,CAAC,OAAO,KAAK,KAAK,IAAIA,CAAC,CAAC,CAAC,OAAOA,EAAE,CAAC,OAAO,KAAK,eAAe,KAAK,KAAK,OAAOA,CAAC,CAAC,CAAC,YAAY,CAAC,OAAO,KAAK,YAAY,CAAC,EAAEsW,GAAG,KAAK,CAAC,SAAStW,EAAE,CAAC,OAAOuW,GAAG,UAAU,CAAC,CAAC,OAAOvW,EAAE,CAAC,OAAOuW,GAAG,QAAQ,CAAC,CAAC,gBAAgB,CAAC,MAAM,EAAE,CAAC,KAAKvW,EAAE,CAAC,OAAOuW,GAAG,MAAM,CAAC,CAAC,KAAKvW,EAAE,CAAC,OAAOuW,GAAG,MAAM,CAAC,CAAC,SAASvW,EAAE,CAAC,OAAOuW,GAAG,UAAU,CAAC,CAAC,UAAUvW,EAAEZ,EAAE,CAAC,OAAOmX,GAAG,WAAW,CAAC,CAAC,YAAY,CAAC,OAAOA,GAAG,YAAY,CAAC,CAAC,YAAYvW,EAAEZ,EAAE,CAAC,OAAOmX,GAAG,aAAa,CAAC,CAAC,MAAMvW,EAAEZ,EAAE,EAAE,CAAC,OAAOmX,GAAG,OAAO,CAAC,CAAC,KAAKvW,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,OAAOsV,GAAG,MAAM,CAAC,CAAC,QAAQ,CAAC,OAAOA,GAAG,QAAQ,CAAC,CAAC,gBAAgB,CAAC,OAAOA,GAAG,gBAAgB,CAAC,CAAC,SAAS,CAAC,OAAO,KAAK,eAAe,IAAI,GAAG,KAAK,IAAI,CAAC,SAAS,CAAC,OAAOA,GAAG,SAAS,CAAC,CAAC,EAAE,SAASA,GAAGrX,EAAE,CAAC,MAAM,IAAI,MAAM,IAAIA,2HAA2H,CAAC,CAAC,SAASsX,GAAGtX,EAAE,CAAC,IAAI,EAAEA,EAAE,OAAOE,EAAE,EAAE,KAAK,EAAE,GAAGA,EAAE,KAAK,OAAO,EAAE,EAAE,EAAE,IAAIqX,GAAGvX,EAAE,EAAEE,CAAC,CAAC,CAAC,SAASsX,GAAGxX,EAAE,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,MAAM,IAAI,MAAM,yEAAyEA,EAAE,iCAAiC,EAAE,QAAQ,EAAE,IAAIE,EAAEF,EAAE,OAAOM,EAAE,EAAE,KAAKJ,EAAE,GAAGI,EAAE,KAAK,OAAO,EAAEJ,EAAE,EAAEA,IAAIqX,GAAGvX,EAAEE,EAAEI,CAAC,EAAEiX,GAAG,EAAErX,EAAEI,CAAC,CAAC,CAAC,SAASmX,GAAGzX,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,IAAIF,EAAE,KAAK,IAAI,EAAEE,CAAC,CAAC,CAAC,CAAC,SAASwX,GAAG1X,EAAE,CAAC,OAAOA,EAAE,IAAI,EAAEA,EAAEA,EAAE,CAAC,CAAC,SAASuX,GAAGvX,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,GAAGA,EAAE,GAAGA,EAAEE,GAAGF,EAAEE,GAAGI,CAAC,CAAC,SAASqX,GAAG3X,EAAE,CAAC,IAAI,EAAE,EAAE,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,GAAGF,EAAEE,GAAG,OAAO,CAAC,CAAC,SAAS0X,GAAG5X,EAAE,EAAE,CAAC,IAAIE,EAAE,KAAK,OAAO,EAAE,OAAO,EAAEA,GAAG,EAAEA,GAAGF,CAAC,CAAC,SAAS6X,GAAG7X,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAE,QAAQI,EAAE,EAAEA,EAAEN,EAAE,OAAOM,IAAI,CAAC,IAAIC,EAAE,OAAOP,EAAEM,EAAE,EAAE,OAAO,EAAEA,EAAE,EAAEJ,GAAGK,EAAEA,CAAC,CAAC,OAAOL,CAAC,CAAC,SAAS4X,EAAE9X,EAAE,EAAE,CAAC,GAAG,CAACA,EAAE,MAAM,IAAI,MAAM,OAAO,GAAG,SAAS,EAAE,EAAE,CAAC,CAAC,CAAC,SAAS+X,GAAG/X,EAAE,EAAEE,EAAE,GAAG,CAAC4X,EAAEE,GAAGhY,EAAE,CAAC,EAAE,IAAIE,EAAE,WAAWF,SAAS,cAAc,CAAC,CAAC,SAASiY,GAAGjY,EAAE,CAAC8X,EAAE9X,GAAG,KAAK,IAAI,+DAA+D,CAAC,CAAC,SAASkY,GAAGlY,EAAE,EAAE,CAAC,EAAEE,EAAE,GAAG,CAAC,GAAG,GAAG,OAAO,EAAE,CAAC,GAAG,MAAM,QAAQF,CAAC,GAAGmY,GAAGnY,CAAC,GAAG,CAACE,EAAE,QAAQI,EAAE,EAAEA,EAAEN,EAAE,OAAO,EAAEM,EAAE4X,GAAGlY,EAAEM,GAAG,EAAEJ,CAAC,OAAO,EAAE,KAAKF,CAAC,EAAE,OAAO,CAAC,CAAC,SAASoY,GAAGpY,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,MAAO,GAAE,IAAI,EAAEA,EAAE,GAAG,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,GAAGF,EAAEE,GAAG,OAAO,CAAC,CAAC,SAASmY,GAAGrY,EAAE,CAAC,OAAOA,EAAE,SAAS,CAAC,CAAC,SAASgY,GAAGhY,EAAE,EAAE,CAAC,GAAGA,IAAI,EAAE,MAAM,GAAG,GAAGA,GAAG,MAAM,GAAG,MAAMA,EAAE,SAAS,EAAE,OAAO,MAAM,GAAG,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,GAAGF,EAAEE,KAAK,EAAEA,GAAG,MAAM,GAAG,MAAM,EAAE,CAAC,SAASoY,GAAGtY,EAAE,CAAC,OAAOA,EAAE,IAAI,CAAC,CAAC,SAASuY,GAAGvY,EAAE,CAAC,GAAG,KAAK,MAAM,KAAK,OAAO,KAAK,KAAKA,CAAC,EAAE,GAAGA,IAAI,EAAE,EAAE,MAAO,GAAE,GAAGA,IAAI,GAAG,EAAE,MAAM,GAAG,CAAC,IAAI,EAAE,KAAK,IAAI,EAAEA,CAAC,EAAE,OAAO,EAAE,IAAI,EAAE,EAAE,CAAC,CAAC,SAASwY,GAAGxY,EAAE,CAAC,IAAI,EAAE,KAAK,KAAK,KAAK,KAAKA,CAAC,CAAC,EAAE,MAAM,CAAC,EAAE,KAAK,KAAKA,EAAE,CAAC,CAAC,CAAC,CAAC,SAASyY,GAAGzY,EAAE,CAAC,IAAI,EAAE,IAAI,YAAYA,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEF,EAAE,EAAEE,EAAE,EAAEA,GAAGA,EAAE,OAAOoX,GAAG,CAAC,EAAE,CAAC,CAAC,SAASoB,GAAG1Y,EAAE,EAAE,CAAC,OAAO,GAAGA,EAAE,OAAOA,EAAEA,EAAE,IAAI,OAAO,EAAEA,EAAE,MAAM,CAAC,CAAC,SAAS2Y,GAAG3Y,EAAE,EAAEO,GAAG,EAAEL,EAAEI,EAAE,WAAW,CAAC,OAAO,IAAI,QAAQ,CAACC,EAAE,IAAI,CAAC,IAAI,EAAE,EAAE0B,EAAE,IAAI,CAAC,GAAGjC,EAAE,EAAE,CAACO,EAAE,EAAE,MAAM,CAAC,IAAI,IAAI2B,EAAE,EAAE,CAAC,EAAE,GAAGhC,GAAG,MAAM,GAAGA,EAAE,CAAC,EAAE,EAAE,MAAM,CAACI,EAAE2B,EAAEC,CAAC,CAAC,EAAED,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS2W,GAAG5Y,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAEI,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAEN,EAAE,OAAO,EAAE,EAAE,GAAGA,EAAE,IAAI,EAAEE,GAAGF,EAAE,WAAWA,EAAE,KAAK,GAAG,CAAC,GAAGM,IAAI,GAAG,MAAM,MAAM,yDAAyDA,aAAa,GAAG,EAAEA,EAAE,CAAC,SAASN,EAAE,GAAG,EAAE,MAAM,MAAM,gCAAgCA,EAAE,aAAa,GAAG,EAAE,GAAGM,IAAI,GAAG,CAAC,GAAG,EAAE,GAAG,IAAIJ,EAAE,MAAM,MAAM,QAAQ,sCAAsCF,GAAG,EAAE,OAAOA,CAAC,CAAC,GAAGE,IAAI,EAAE,MAAM,MAAM,qCAAqCF,8BAA8B,EAAE,GAAG,EAAEE,IAAI,EAAE,MAAM,MAAM,wDAAwD,OAAOA,GAAG,EAAE,IAAIK,EAAEP,EAAE,MAAM,EAAE,OAAOO,EAAED,GAAG,EAAEJ,EAAEK,CAAC,CAAC,SAASsY,GAAG7Y,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAE,OAAO,OAAOF,EAAEA,GAAG,KAAK,EAAE,IAAI,CAACM,EAAEC,IAAIA,CAAC,EAAE,CAAC,EAAE,OAAOP,CAAC,EAAE8X,EAAE9X,EAAE,MAAMM,GAAGA,GAAG,CAACJ,GAAGI,EAAEJ,CAAC,EAAE,IAAI,+CAA+CA,MAAMA,mBAAmBF,GAAG,EAAE8X,EAAE9X,EAAE,MAAMM,GAAGgY,GAAGhY,CAAC,CAAC,EAAE,IAAI,0DAA0DN,GAAG,EAAEA,EAAE,IAAIM,GAAGA,EAAE,EAAEJ,EAAEI,EAAEA,CAAC,CAAC,CAAC,SAASwY,GAAG9Y,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEI,EAAE,CAAC,EAAEC,EAAE,GAAG,MAAM,MAAM,QAAQ,CAAC,GAAG,EAAE,SAAS,EAAE,EAAE,GAAG,MAAMA,EAAE,KAAKsY,GAAG,EAAE7Y,CAAC,EAAE,KAAK,EAAE,EAAE,EAAE,QAAQiC,EAAE,EAAEA,EAAEjC,EAAE,OAAO,EAAEiC,EAAE,CAAC,GAAG,GAAG,KAAK,CAAC,GAAG,EAAE,KAAKA,GAAGjC,EAAEiC,KAAK,EAAE,MAAM,IAAI,MAAM,sBAAsBA,oBAAoBjC,EAAEiC,cAAc,GAAG,EAAE,IAAI,MAAM,EAAE,GAAGA,IAAIjC,EAAEiC,KAAK,IAAI/B,EAAE,KAAKF,EAAEiC,EAAE,EAAE3B,EAAE,KAAK2B,CAAC,GAAG,EAAE,IAAIA,GAAG,GAAG,CAACjC,EAAEiC,KAAK,IAAI/B,EAAE,KAAKF,EAAEiC,EAAE,EAAE3B,EAAE,KAAK2B,CAAC,EAAE,CAAC,MAAM,CAAC,SAAS/B,EAAE,SAASI,CAAC,CAAC,CAAC,SAASyY,GAAG/Y,EAAE,EAAE,CAAC,IAAIE,EAAE,KAAK,GAAGF,GAAG,MAAMA,IAAI,UAAUE,EAAE,IAAI,aAAa,CAAC,UAAUF,IAAI,QAAQE,EAAE,IAAI,WAAW,CAAC,UAAUF,IAAI,OAAOE,EAAE,IAAI,WAAW,CAAC,MAAO,OAAM,IAAI,MAAM,qBAAqBF,GAAG,EAAE,OAAOE,CAAC,CAAC,SAAS8Y,GAAGhZ,EAAE,EAAE,CAAC,IAAIE,EAAE,KAAK,GAAGF,GAAG,MAAMA,IAAI,UAAUE,EAAE,IAAI,aAAa,CAAC,UAAUF,IAAI,QAAQE,EAAE,IAAI,WAAW,CAAC,UAAUF,IAAI,OAAOE,EAAE,IAAI,WAAW,CAAC,UAAUF,IAAI,SAASE,EAAE,IAAI,MAAM,CAAC,MAAO,OAAM,IAAI,MAAM,qBAAqBF,GAAG,EAAE,OAAOE,CAAC,CAAC,SAAS+Y,GAAGjZ,EAAE,EAAE,CAAC,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,CAAC,IAAII,EAAEN,EAAEE,GAAG,GAAG,MAAMI,CAAC,GAAG,CAAC,SAASA,CAAC,EAAE,MAAM,MAAM,oBAAoB,6BAA6BA,IAAI,CAAC,CAAC,CAAC,SAAS4Y,GAAGlZ,EAAE,CAAC,OAAOA,IAAI,QAAQA,IAAI,aAAaA,IAAI,WAAWA,IAAI,SAASA,IAAI,QAAQ,CAAC,SAASmZ,GAAGnZ,EAAE,EAAE,CAAC,MAAM,EAAE,IAAI,aAAa,IAAI,WAAWA,IAAI,aAAa,IAAI,SAASA,IAAI,WAAWA,IAAI,aAAa,IAAI,QAAQA,IAAI,OAAO,CAAC,SAASmY,GAAGnY,EAAE,CAAC,OAAOA,aAAa,cAAcA,aAAa,YAAYA,aAAa,YAAYA,aAAa,iBAAiB,CAAC,SAASoZ,GAAGpZ,EAAE,CAAC,GAAGA,IAAI,WAAWA,IAAI,QAAQ,MAAO,GAAE,GAAGA,IAAI,YAAY,MAAO,GAAE,GAAGA,IAAI,OAAO,MAAO,GAAE,MAAM,IAAI,MAAM,iBAAiBA,GAAG,CAAC,CAAC,SAASqZ,GAAGrZ,EAAE,CAAC,GAAGA,GAAG,KAAK,MAAO,GAAE,IAAI,EAAE,EAAE,OAAOA,EAAE,QAAQE,GAAG,GAAGA,EAAE,MAAM,EAAE,CAAC,CAAC,SAASoZ,GAAGtZ,EAAE,CAAC,OAAO,OAAOA,GAAG,UAAUA,aAAa,MAAM,CAAC,SAASuZ,GAAGvZ,EAAE,CAAC,OAAO,OAAOA,GAAG,SAAS,CAAC,SAASwZ,GAAGxZ,EAAE,CAAC,OAAO,OAAOA,GAAG,QAAQ,CAAC,SAASyZ,GAAGzZ,EAAE,CAAC,OAAO,MAAM,QAAQA,CAAC,EAAEyZ,GAAGzZ,EAAE,EAAE,EAAEA,aAAa,aAAa,UAAUA,aAAa,YAAYA,aAAa,YAAYA,aAAa,kBAAkB,QAAQwZ,GAAGxZ,CAAC,EAAE,UAAUsZ,GAAGtZ,CAAC,EAAE,SAASuZ,GAAGvZ,CAAC,EAAE,OAAO,SAAS,CAAC,SAAS0Z,GAAG1Z,EAAE,CAAC,MAAM,CAAC,EAAEA,GAAGA,EAAE,aAAaA,EAAE,MAAMA,EAAE,MAAM,CAAC,SAAS2Z,GAAG3Z,EAAE,EAAE,CAAC,QAAQE,EAAE,EAAEA,EAAEF,EAAE,EAAEE,EAAE,GAAGF,EAAEE,IAAI,EAAE,OAAOA,EAAE,OAAOF,CAAC,CAAC,SAAS4Z,GAAG5Z,EAAE,CAAC,IAAI,EAAEA,EAAE,OAAO,GAAG,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIE,EAAE,IAAI,MAAM,EAAE,CAAC,EAAEA,EAAE,EAAE,GAAGF,EAAE,EAAE,GAAG,QAAQM,EAAE,EAAE,EAAEA,GAAG,EAAE,EAAEA,EAAEJ,EAAEI,GAAGJ,EAAEI,EAAE,GAAGN,EAAEM,EAAE,GAAG,OAAOJ,CAAC,CAAC,SAAS2Z,GAAG7Z,EAAE,EAAEE,EAAEI,EAAE,GAAG,CAAC,IAAIC,EAAE,IAAI,MAAM,GAAG,EAAE,SAAS,EAAE,CAAC,IAAI,EAAE,EAAE,IAAID,EAAE,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAE,EAAE,IAAIC,EAAE,GAAGL,EAAEF,EAAE,EAAE,KAAK,CAAC,IAAI,EAAE,EAAE,GAAG,EAAE,EAAE,MAAM,CAAC,EAAEiC,EAAE,EAAE,OAAO,CAACC,EAAEC,IAAID,EAAEC,CAAC,GAAG7B,EAAE,EAAE,GAAG,QAAQ4B,EAAE,EAAEA,EAAE,EAAEA,IAAI3B,EAAE2B,GAAG2X,GAAG7Z,EAAEkC,EAAED,EAAE,EAAE/B,EAAEI,CAAC,CAAC,CAAC,OAAOC,CAAC,CAAC,SAASuZ,GAAG9Z,EAAE,EAAEE,EAAE,GAAG,CAAC,GAAGF,EAAE,SAAS,EAAE,OAAO,EAAE,GAAG,IAAIM,EAAEN,EAAE,OAAO,CAACO,EAAE,IAAIA,EAAE,CAAC,GAAGL,EAAE,EAAE,GAAG,GAAGI,IAAI,EAAE,MAAM,CAAC,EAAE,GAAGA,IAAI,EAAE,OAAO,MAAM,IAAI,MAAM,IAAIN,oCAAoC,EAAE,SAASE,EAAE,wBAAwB,KAAK,EAAE,OAAO2Z,GAAG,EAAE7Z,EAAE,EAAEE,CAAC,CAAC,CAAC,SAAS6Z,GAAG/Z,EAAE,EAAE,CAAC,IAAIE,EAAE8Z,GAAGha,EAAE,CAAC,EAAE,QAAQM,EAAE,EAAEA,EAAEJ,EAAE,OAAOI,IAAIJ,EAAEI,GAAG,EAAE,OAAOJ,CAAC,CAAC,SAAS8Z,GAAGha,EAAE,EAAE,CAAC,GAAG,GAAG,MAAM,IAAI,WAAW,IAAI,YAAY,OAAO,IAAI,aAAaA,CAAC,EAAE,GAAG,IAAI,QAAQ,OAAO,IAAI,WAAWA,CAAC,EAAE,GAAG,IAAI,OAAO,OAAO,IAAI,WAAWA,CAAC,EAAE,MAAM,IAAI,MAAM,qBAAqB,GAAG,CAAC,CAAC,SAASia,GAAGja,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,OAAO,CAACM,EAAEC,IAAID,EAAEC,EAAE,CAAC,EAAE,GAAG,GAAG,MAAM,IAAI,UAAU,OAAOuZ,GAAG9Z,EAAE,IAAI,aAAaE,CAAC,CAAC,EAAE,GAAG,IAAI,QAAQ,OAAO4Z,GAAG9Z,EAAE,IAAI,WAAWE,CAAC,CAAC,EAAE,GAAG,IAAI,OAAO,OAAO4Z,GAAG9Z,EAAE,IAAI,WAAWE,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,qBAAqB,GAAG,CAAC,CAAC,SAASga,GAAGla,EAAE,CAACA,EAAE,QAAQ,GAAG,CAAC8X,EAAE,OAAO,UAAU,CAAC,GAAG,GAAG,EAAE,IAAI,0EAA0E9X,KAAK,CAAC,CAAC,CAAC,CAAC,SAASma,GAAGna,EAAE,EAAEE,EAAE,CAAC,GAAG,IAAI,EAAE,MAAO,GAAE,GAAG,IAAI,EAAE,OAAOF,EAAE,GAAG,IAAIM,EAAEN,EAAEA,EAAE,OAAO,GAAG,QAAQO,EAAE,EAAEA,EAAEP,EAAE,OAAO,EAAE,EAAEO,EAAED,GAAGJ,EAAEK,GAAGP,EAAEO,GAAG,OAAOD,CAAC,CAAC,SAAS8Z,GAAGpa,EAAE,EAAEE,EAAE,CAAC,GAAG,IAAI,EAAE,MAAM,CAAC,EAAE,GAAG,IAAI,EAAE,MAAM,CAACF,CAAC,EAAE,IAAIM,EAAE,IAAI,MAAM,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAED,EAAE,OAAO,EAAE,EAAEC,EAAED,EAAEC,GAAG,KAAK,MAAMP,EAAEE,EAAEK,EAAE,EAAEP,GAAGM,EAAEC,GAAGL,EAAEK,GAAG,OAAOD,EAAEA,EAAE,OAAO,GAAGN,EAAEM,CAAC,CAAC,SAAS+Z,GAAGra,EAAE,CAAC,OAAOA,GAAGA,EAAE,MAAM,OAAOA,EAAE,MAAM,UAAU,CAAC,IAAIsa,GAAG,YAAYC,GAAG,KAAK,CAAC,YAAYzZ,EAAE,CAAC,KAAK,OAAOA,EAAE,KAAK,MAAM,CAAC,EAAE,KAAK,aAAa,CAAC,EAAE,KAAK,SAAS,CAAC,EAAE,KAAK,eAAe0Z,GAAG,KAAK,iBAAiB,CAAC,CAAC,YAAY1Z,EAAEZ,EAAE,CAAC,KAAK,UAAU,OAAOua,EAAE,EAAE,QAAQ,SAAS,GAAGA,EAAE,EAAE,QAAQ,MAAM,GAAG,QAAQ,KAAK,YAAY,KAAK,oEAAoE3Z,IAAI,GAAG,KAAK,aAAaA,EAAE,KAAK,SAASZ,CAAC,CAAC,aAAaY,EAAEZ,EAAE,EAAE,CAAC,GAAG,KAAK,aAAaY,GAAG,CAAC,aAAaZ,EAAE,QAAQ,CAAC,EAAE,KAAK,SAASY,IAAI,KAAK,CAAC,IAAIP,EAAE,KAAK,SAASO,GAAG2Z,EAAE,EAAE,QAAQ,SAAS,GAAGA,EAAE,EAAE,QAAQ,MAAM,GAAG,QAAQ,KAAK,qCAAqC3Z,MAAMP,IAAI,EAAE,KAAK,IAAIO,EAAEP,CAAC,CAAC,CAAC,CAAC,MAAM,SAASO,EAAE,CAAC,OAAOA,KAAK,KAAK,MAAM,KAAK,MAAMA,IAAI,KAAK,MAAMA,GAAG,MAAM,KAAK,aAAaA,CAAC,EAAE,KAAK,MAAMA,GAAG,CAAC,IAAIA,EAAE,CAAC,GAAGA,KAAK,KAAK,MAAM,OAAO,KAAK,MAAMA,GAAG,IAAIZ,EAAE,KAAK,aAAaY,CAAC,EAAE,GAAGuZ,GAAGna,CAAC,EAAE,MAAM,IAAI,MAAM,QAAQY,qEAAqE,EAAE,OAAO,KAAK,MAAMA,GAAGZ,EAAE,KAAK,MAAMY,EAAE,CAAC,UAAUA,EAAE,CAAC,OAAO,KAAK,IAAIA,CAAC,CAAC,CAAC,QAAQA,EAAE,CAAC,OAAO,KAAK,IAAIA,CAAC,CAAC,CAAC,UAAU,CAAC,OAAO,KAAK,KAAK,CAAC,IAAI,UAAU,CAAC,OAAO,KAAK,KAAK,CAAC,IAAIA,EAAEZ,EAAE,CAAC,GAAG,KAAK,aAAaY,IAAI,KAAK,MAAM,IAAI,MAAM,mBAAmBA,kCAAkC,EAAE,KAAK,MAAMA,GAAGZ,EAAE,KAAK,aAAaY,GAAG,SAAS,MAAM,KAAK,aAAaA,GAAG,QAAQZ,CAAC,CAAC,CAAC,aAAaY,EAAE,CAAC,GAAG,KAAK,aAAaA,IAAI,KAAK,MAAM,IAAI,MAAM,yBAAyBA,mCAAmC,EAAE,OAAO,KAAK,aAAaA,GAAG,aAAa,CAAC,CAAC,SAASA,EAAE,CAAC,KAAK,MAAM,OAAO,OAAO,CAAC,EAAEA,CAAC,CAAC,CAAC,OAAO,CAAC,KAAK,MAAM,CAAC,EAAE,KAAK,SAAS,CAAC,EAAE,KAAK,iBAAiB,CAAC,CAAC,kBAAkB,CAAC,GAAG,OAAO,KAAK,QAAQ,aAAa,OAAO,KAAK,OAAO,UAAU,aAAa,OAAO,KAAK,OAAO,SAAS,QAAQ,YAAY,OAAO,IAAIA,EAAE,KAAK,eAAe,KAAK,OAAO,SAAS,MAAM,EAAEwZ,MAAMxZ,GAAGA,EAAEwZ,IAAI,MAAM,GAAG,EAAE,QAAQha,GAAG,CAAC,GAAG,CAACC,EAAEwB,CAAC,EAAEzB,EAAE,MAAM,GAAG,EAAE,KAAK,SAASC,GAAGma,GAAGna,EAAEwB,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAASyY,GAAGxa,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,OAAOA,EAAE,QAAQ,8BAA8B,CAACE,KAAKI,KAAKqa,GAAG,EAAEra,EAAE,GAAGA,EAAE,EAAE,EAAEA,EAAE,KAAK,GAAG,EAAE,EAAE,CAAC,CAAC,SAASqa,GAAG3a,EAAE,EAAEE,EAAE,CAACF,EAAE,mBAAmB,CAAC,GAAG,mBAAmBE,GAAG,EAAE,CAAC,CAAC,SAASwa,GAAG1a,EAAE,EAAE,CAAC,GAAG,EAAE,EAAE,YAAY,EAAE,IAAI,QAAQ,IAAI,QAAQ,OAAO,IAAI,OAAO,GAAG,GAAG,CAAC,MAAM,EAAE,MAAM,CAAC,EAAE,MAAM,IAAI,MAAM,oCAAoC,cAAcA,IAAI,CAAC,CAAC,SAASya,GAAG,CAAC,OAAOG,EAAE,CAAC,IAAIA,GAAG,KAAK,SAASC,GAAG7a,EAAE,CAAC4a,GAAG5a,CAAC,CAAC,IAAI8a,GAAG,SAASC,IAAI,CAAC,GAAGD,IAAI,KAAK,CAAC,IAAI9a,EAAE,GAAG,OAAO,QAAQ,YAAYA,EAAE,eAAe,OAAO,QAAQ,YAAYA,EAAE,eAAe,OAAO,SAAS,YAAYA,EAAE,gBAAgB,OAAO,MAAM,YAAYA,EAAE,SAAU,OAAM,IAAI,MAAM,gCAAgC,EAAE8a,GAAG9a,CAAC,CAAC,OAAO8a,EAAE,CAAC,SAASE,IAAI,CAAC,IAAIhb,EAAE+a,GAAG,EAAE,OAAO/a,EAAE,YAAY,OAAOA,EAAE,WAAW,IAAI,KAAKA,EAAE,UAAU,CAAC,SAASib,GAAGjb,EAAE,EAAE,CAAC,IAAIE,EAAE8a,GAAG,EAAE,GAAG9a,EAAE,IAAIF,CAAC,EAAE,OAAOE,EAAE,IAAIF,CAAC,EAAE,CAAC,IAAIM,EAAE,EAAE,EAAE,OAAOJ,EAAE,IAAIF,EAAEM,CAAC,EAAEJ,EAAE,IAAIF,CAAC,CAAC,CAAC,CAAC,IAAIkb,GAAG,MAAMC,GAAG,OAAOC,GAAG,QAAQC,GAAG,MAAMC,GAAG,OAAOC,GAAG,MAAMC,GAAG,MAAMC,GAAG,SAASC,GAAG,SAASC,GAAG,OAAOC,GAAG,QAAQC,GAAG,OAAOC,GAAG,QAAQC,GAAG,QAAQC,GAAG,UAAUC,GAAG,cAAcC,GAAG,YAAYC,GAAG,gBAAgBC,GAAG,cAAcC,GAAG,iBAAiBC,GAAG,WAAWC,GAAG,cAAcC,GAAG,gBAAgBC,GAAG,OAAOC,GAAG,OAAOC,GAAG,cAAcC,GAAG,UAAUC,GAAG,aAAaC,GAAG,SAASC,GAAG,SAASC,GAAG,uBAAuBC,GAAG,sBAAsBC,GAAG,SAASC,GAAG,yBAAyBC,GAAG,wBAAwBC,GAAG,MAAMC,GAAG,OAAOC,GAAG,UAAUC,GAAG,SAASC,GAAG,gBAAgBC,GAAG,gBAAgBC,GAAG,eAAeC,GAAG,wBAAwBC,GAAG,sCAAsCC,GAAG,qCAAqCC,GAAG,OAAOC,GAAG,aAAaC,GAAG,0BAA0BC,GAAG,2BAA2BC,GAAG,UAAUC,GAAG,SAASC,GAAG,MAAMC,GAAG,UAAUC,GAAG,MAAMC,GAAG,QAAQC,GAAG,MAAMC,GAAG,aAAaC,GAAG,QAAQC,GAAG,MAAMC,GAAG,OAAOC,GAAG,gBAAgBC,GAAG,QAAQC,GAAG,WAAWC,GAAG,iBAAiBC,GAAG,WAAWC,GAAG,WAAWC,GAAG,UAAUC,GAAG,eAAeC,GAAG,WAAWC,GAAG,OAAOC,GAAG,OAAOC,GAAG,WAAWC,GAAG,QAAQC,GAAG,QAAQC,GAAG,YAAYC,GAAG,OAAOC,GAAG,YAAYC,GAAG,WAAWC,GAAG,MAAMC,GAAG,QAAQC,GAAG,aAAaC,GAAG,aAAaC,GAAG,YAAYC,GAAG,aAAaC,GAAG,aAAaC,GAAI,aAAaC,GAAG,MAAMC,GAAG,UAAUC,GAAG,MAAMC,GAAG,UAAUC,GAAG,UAAUC,GAAG,cAAcC,GAAG,YAAYC,GAAG,gBAAgBC,GAAG,oBAAoBC,GAAG,OAAOC,GAAG,MAAMC,GAAG,UAAUC,GAAG,YAAYC,GAAG,MAAMC,GAAG,cAAcC,GAAG,WAAWC,GAAG,MAAMC,GAAG,WAAWC,GAAG,sBAAsBC,GAAG,sBAAsBC,GAAG,sBAAsBC,GAAG,WAAWC,GAAG,SAASC,GAAG,OAAOC,GAAG,QAAQC,GAAI,OAAOC,GAAG,MAAMC,GAAG,QAAQC,GAAG,OAAOC,GAAG,eAAeC,GAAG,uBAAuBC,GAAG,QAAQC,GAAG,OAAOC,GAAG,aAAaC,GAAG,OAAOC,GAAG,UAAUC,GAAG,wBAAwBC,GAAG,4BAA4BC,GAAG,iBAAiBC,GAAG,qBAAqBC,GAAG,QAAQC,GAAG,UAAUC,GAAG,QAAQC,GAAG,QAAQC,GAAG,YAAYC,GAAG,eAAeC,GAAG,SAASC,GAAG,OAAOC,GAAG,QAAQC,GAAG,MAAMC,GAAG,OAAOC,GAAG,OAAOC,GAAG,UAAUC,GAAG,WAAWC,GAAG,OAAOC,GAAG,MAAMC,GAAG,iBAAiBC,GAAG,SAASC,GAAG,UAAUC,GAAG,sBAAsBC,GAAG,gBAAgBC,GAAG,oBAAoBC,GAAG,mBAAmBC,GAAG,gBAAgBC,GAAG,oBAAoBC,GAAG,SAASC,GAAG,eAAeC,GAAG,eAAeC,GAAG,cAAcC,GAAG,yBAAyBC,GAAG,MAAMC,GAAG,MAAMC,GAAG,OAAOC,GAAG,OAAOC,GAAG,OAAOC,GAAG,YAAYC,GAAG,YAAYC,GAAG,SAASC,GAAG,SAASC,GAAG,qBAAqBC,GAAI,aAAaC,GAAG,YAAYC,GAAG,OAAOC,GAAG,aAAaC,GAAG,mBAAmBC,GAAG,eAAeC,GAAG,cAAcC,GAAG,uBAAuB,SAASC,MAAMhmB,EAAE,CAACya,EAAE,EAAE,QAAQ,SAAS,GAAGA,EAAE,EAAE,QAAQ,MAAM,GAAG,QAAQ,KAAK,GAAGza,CAAC,CAAC,CAAC,SAASimB,MAAMjmB,EAAE,CAACya,EAAE,EAAE,QAAQ,SAAS,GAAGA,EAAE,EAAE,QAAQ,MAAM,GAAG,QAAQ,IAAI,GAAGza,CAAC,CAAC,CAAC,IAAIkmB,GAAGjL,GAAG,iBAAiB,IAAI,IAAI,GAAG,EAAEkL,GAAGlL,GAAG,eAAe,IAAI,IAAI,GAAG,EAAE,SAASmL,GAAGpmB,EAAE,EAAE,CAAC,IAAIE,EAAEmmB,GAAGrmB,EAAE,CAAC,EAAE,OAAOkmB,GAAG,IAAIhmB,CAAC,CAAC,CAAC,SAASomB,GAAGtmB,EAAE,CAAC,OAAOmmB,GAAG,IAAInmB,CAAC,CAAC,CAAC,SAASumB,GAAGvmB,EAAE,CAAC,IAAI,EAAEkmB,GAAG,QAAQ,EAAEhmB,EAAE,CAAC,EAAE,OAAO,CAAC,GAAG,CAAC,KAAKI,EAAE,MAAMC,CAAC,EAAE,EAAE,KAAK,EAAE,GAAGD,EAAE,MAAM,GAAG,CAAC,EAAE,CAAC,EAAEC,EAAE,CAAC0B,CAAC,EAAE,EAAE,MAAM,GAAG,EAAEA,IAAIjC,GAAGE,EAAE,KAAK,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,SAASsmB,GAAGxmB,EAAE,CAAC,GAAG,CAAC,WAAW,EAAE,YAAYE,CAAC,EAAEF,EAAEM,EAAE+lB,GAAG,EAAEnmB,CAAC,EAAEgmB,GAAG,IAAI5lB,CAAC,GAAG0lB,GAAG,eAAe,mBAAmB9lB,0BAA0B,EAAEgmB,GAAG,IAAI5lB,EAAEN,CAAC,CAAC,CAAC,SAASymB,GAAGzmB,EAAE,CAAC,GAAG,CAAC,WAAW,CAAC,EAAEA,EAAEmmB,GAAG,IAAI,CAAC,GAAG1L,EAAE,EAAE,QAAQ,OAAO,GAAGuL,GAAG,gCAAgC,IAAI,EAAEG,GAAG,IAAI,EAAEnmB,CAAC,CAAC,CAAC,SAAS0mB,GAAI1mB,EAAE,EAAE,CAAC,IAAIE,EAAEmmB,GAAGrmB,EAAE,CAAC,EAAE,GAAG,CAACkmB,GAAG,IAAIhmB,CAAC,EAAE,MAAM,IAAI,MAAM,eAAeF,mBAAmB,sBAAsB,EAAEkmB,GAAG,OAAOhmB,CAAC,CAAC,CAAC,SAASymB,GAAI3mB,EAAE,CAAC,GAAG,CAACmmB,GAAG,IAAInmB,CAAC,EAAE,MAAM,IAAI,MAAM,iBAAiBA,kCAAkC,EAAEmmB,GAAG,OAAOnmB,CAAC,CAAC,CAAC,SAAS4mB,GAAI5mB,EAAE,EAAE,CAACumB,GAAGvmB,CAAC,EAAE,QAAQ,GAAG,CAAC,IAAIO,EAAE,OAAO,OAAO,CAAC,EAAE,EAAE,CAAC,YAAY,CAAC,CAAC,EAAEimB,GAAGjmB,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS8lB,GAAGrmB,EAAE,EAAE,CAAC,MAAM,GAAG,KAAKA,GAAG,CAAC,IAAI6mB,EAAE,CAAC,EAAEzmB,GAAGymB,EAAE,CAAC,YAAY,IAAI7O,GAAG,OAAO,IAAIF,EAAE,mCAAmC,IAAIoC,GAAG,cAAc,IAAIjC,GAAG,kBAAkB,IAAIF,GAAG,qBAAqB,IAAIsB,GAAG,gBAAgB,IAAID,GAAG,yBAAyB,IAAIH,GAAG,MAAM,IAAIxB,GAAG,eAAe,IAAImC,GAAG,kBAAkB,IAAIkN,GAAG,sBAAsB,IAAIrO,GAAG,aAAa,IAAIsO,GAAG,YAAY,IAAIlP,GAAG,aAAa,IAAImP,GAAG,MAAM,IAAIC,GAAG,cAAc,IAAIC,GAAG,QAAQ,IAAIhP,GAAG,kBAAkB,IAAIc,GAAG,uBAAuB,IAAID,GAAG,gBAAgB,IAAII,GAAG,UAAU,IAAIgO,GAAG,WAAW,IAAI/M,GAAG,WAAW,IAAIX,GAAG,uBAAuB,IAAIb,GAAG,UAAU,IAAIW,GAAG,WAAW,IAAIG,GAAG,MAAM,IAAIpB,GAAG,SAAS,IAAIkB,GAAG,UAAU,IAAIa,GAAG,cAAc,IAAIhC,GAAG,SAAS,IAAIiB,GAAG,aAAa,IAAInB,GAAG,aAAa,IAAIe,GAAG,WAAW,IAAIiB,GAAG,mBAAmB,IAAIJ,GAAG,0BAA0B,IAAIE,GAAG,oBAAoB,IAAID,GAAG,eAAe,IAAIL,GAAG,kBAAkB,IAAIjC,GAAG,IAAI,IAAI0P,GAAG,eAAe,IAAIvO,GAAG,YAAY,IAAIjB,GAAG,YAAY,IAAIe,GAAG,SAAS,IAAID,GAAG,QAAQ,IAAIpB,GAAG,aAAa,IAAIE,GAAG,cAAc,IAAIY,GAAG,oBAAoB,IAAII,GAAG,aAAa,IAAIM,GAAG,IAAI,IAAInB,GAAG,KAAK,IAAIJ,GAAG,KAAK,IAAIgB,GAAG,cAAc,IAAIuB,GAAG,aAAa,IAAIuN,EAAE,CAAC,EAAE,IAAIC,GAAG9mB,GAAGC,GAAG,CAAC,EAAM8mB,GAAGD,GAAG,SAASA,GAAG,SAASH,GAAGnnB,EAAE,CAAC,OAAOunB,GAAG,WAAWvnB,EAAE,GAAG,EAAE,CAAC,CAAC,IAAIwnB,GAAGL,GAAG,kBAAkB,EAAEM,GAAGN,GAAG,kBAAkB,EAAEO,GAAGP,GAAG,kBAAkB,EAAE,SAASQ,GAAG3nB,EAAE,CAAC,OAAOA,EAAE,IAAIA,EAAE,KAAK,EAAE,CAAC,CAAC,CAAC,SAAS4nB,GAAG5nB,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,MAAM,EAAE,EAAEE,CAAC,EAAE,OAAOqnB,GAAG,UAAU,MAAM,KAAKjnB,CAAC,EAAE,GAAG,EAAE,CAAC,CAAC,SAASunB,GAAG7nB,EAAE,EAAE,CAAC,OAAO4nB,GAAG5nB,EAAE,EAAE,CAAC,CAAC,CAAC,SAAS8nB,GAAG9nB,EAAE,EAAE,CAAC,OAAO4nB,GAAG5nB,EAAE,EAAE,CAAC,CAAC,CAAC,SAAS+nB,GAAG/nB,EAAE,EAAE,CAAC,OAAO,IAAI,EAAEA,EAAEA,EAAE,KAAK,CAAC,EAAE,GAAGA,EAAE,IAAI,GAAG,CAAC,CAAC,CAAC,CAAC,SAASgoB,GAAGhoB,EAAE,EAAEE,EAAEinB,GAAG,kBAAkB,EAAE,CAAC,IAAI7mB,EAAEN,EAAE,IAAI,CAAC,EAAE,IAAIE,CAAC,EAAEI,EAAEA,EAAE,IAAIA,EAAE,KAAK,EAAE,CAAC,EAAE,IAAIC,EAAE,EAAE,IAAID,CAAC,EAAE,IAAIJ,CAAC,EAAE,OAAOK,EAAEA,EAAE,IAAIA,EAAE,KAAK,EAAE,CAAC,EAAEA,EAAEA,EAAE,IAAIL,CAAC,EAAEK,CAAC,CAAC,SAAS0nB,GAAGjoB,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAACA,EAAEA,EAAE,IAAIP,CAAC,EAAE,EAAE+nB,GAAG,EAAE,IAAIxnB,CAAC,EAAE,IAAID,CAAC,EAAE,EAAE,EAAE,IAAI,EAAEC,EAAE,OAAOA,EAAEA,EAAE,IAAI,CAAC,EAAEA,EAAEA,EAAE,IAAIL,CAAC,EAAE,EAAE,EAAE,IAAI6nB,GAAGxnB,EAAE,EAAE,CAAC,EAAE,CAACA,EAAE,IAAID,CAAC,EAAE,EAAE,IAAI,CAAC,CAAC,CAAC,CAAC,SAAS4nB,GAAGloB,EAAE,EAAEE,EAAEI,EAAE,CAAC,OAAO2nB,GAAGJ,GAAG7nB,EAAE,CAAC,EAAE6nB,GAAG7nB,EAAE,EAAE,CAAC,EAAE6nB,GAAG7nB,EAAE,EAAE,EAAE,EAAE6nB,GAAG7nB,EAAE,EAAE,EAAE,EAAEE,EAAEI,CAAC,CAAC,CAAC,SAAS6nB,GAAGnoB,EAAE,EAAEA,EAAE,OAAO,CAAC,GAAG,GAAG,EAAE,CAAC,IAAIE,EAAEwnB,GAAG,IAAI,EAAE,CAAC,EAAEpnB,EAAEunB,GAAG7nB,EAAE,CAAC,EAAE,IAAI0nB,EAAE,EAAEnnB,EAAEsnB,GAAG7nB,EAAE,EAAE,CAAC,EAAE,EAAE+nB,GAAGxnB,EAAE,EAAE,EAAE,IAAIL,CAAC,EAAE,IAAII,CAAC,EAAE,EAAEynB,GAAGznB,EAAE,EAAE,EAAE,IAAIC,CAAC,EAAE,IAAIL,CAAC,EAAE,OAAO8nB,GAAG,EAAE,EAAE9nB,CAAC,CAAC,CAAC,GAAG,GAAG,EAAE,CAAC,IAAIA,EAAEwnB,GAAG,IAAI,EAAE,CAAC,EAAEpnB,EAAEwnB,GAAG9nB,EAAE,CAAC,EAAE,OAAOgoB,GAAG1nB,EAAE,IAAI,CAAC,EAAE,IAAI,CAAC,EAAEwnB,GAAG9nB,EAAE,EAAE,CAAC,EAAEE,CAAC,CAAC,CAAC,GAAG,EAAE,EAAE,CAAC,IAAIA,EAAEF,EAAE,GAAGM,EAAEN,EAAE,GAAG,GAAGO,EAAEP,EAAE,EAAE,GAAG,EAAEE,GAAGI,GAAG,GAAG,EAAE,GAAGC,GAAG,GAAG,OAAOonB,GAAGD,GAAG,IAAI,CAAC,EAAE,IAAIF,GAAG,IAAI,CAAC,CAAC,CAAC,EAAE,IAAIE,EAAE,CAAC,CAAC,OAAOA,EAAE,CAAC,SAASU,GAAGpoB,EAAE,EAAEA,EAAE,OAAO,CAAC,IAAIE,EAAEwnB,GAAG,IAAI,EAAE,CAAC,EAAEpnB,EAAEunB,GAAG7nB,EAAE,CAAC,EAAE,IAAIynB,EAAE,EAAElnB,EAAEsnB,GAAG7nB,EAAE,CAAC,EAAE,EAAE6nB,GAAG7nB,EAAE,EAAE,CAAC,EAAE,IAAIE,CAAC,EAAE,EAAE2nB,GAAG7nB,EAAE,EAAE,EAAE,EAAE,IAAI0nB,EAAE,EAAE,OAAOM,GAAGD,GAAGznB,EAAE,IAAIC,CAAC,EAAE,EAAE,EAAE,IAAIwnB,GAAG,EAAE,EAAE,CAAC,EAAE,IAAI,CAAC,EAAEznB,EAAE,IAAIynB,GAAGxnB,EAAE,IAAImnB,EAAE,EAAE,EAAE,CAAC,EAAE,IAAI,CAAC,EAAExnB,CAAC,CAAC,CAAC,SAASmoB,GAAGroB,EAAE,EAAEA,EAAE,OAAO,CAAC,IAAIE,EAAEwnB,GAAG,IAAI,EAAE,CAAC,EAAEpnB,EAAEunB,GAAG7nB,EAAE,CAAC,EAAE,IAAI0nB,EAAE,EAAEnnB,EAAEsnB,GAAG7nB,EAAE,CAAC,EAAE,EAAE6nB,GAAG7nB,EAAE,EAAE,CAAC,EAAE,IAAIE,CAAC,EAAE,EAAE2nB,GAAG7nB,EAAE,EAAE,EAAE,EAAE,IAAI0nB,EAAE,EAAEzlB,EAAE8lB,GAAGznB,EAAE,IAAIC,CAAC,EAAE,EAAE,EAAE,IAAIwnB,GAAG,EAAE,EAAE,CAAC,EAAE,IAAI,CAAC,EAAE7lB,EAAE8lB,GAAG/lB,EAAE3B,EAAE,IAAIynB,GAAGxnB,EAAE,IAAImnB,EAAE,EAAE,EAAE,CAAC,EAAE,IAAI,CAAC,EAAExnB,CAAC,EAAEiC,EAAE0lB,GAAG7nB,EAAE,EAAE,EAAE,IAAIE,CAAC,EAAE0C,EAAEilB,GAAG7nB,EAAE,EAAE,EAAE6C,EAAEZ,EAAE,IAAI4lB,GAAG7nB,EAAE,EAAE,EAAE,CAAC,EAAE,IAAIE,CAAC,EAAE4C,EAAEZ,EAAE,IAAI2lB,GAAG7nB,EAAE,EAAE,EAAE,CAAC,EAAE,IAAIE,CAAC,EAAE,OAAO8nB,GAAGD,GAAG5lB,EAAE,IAAIS,CAAC,EAAE,EAAE,EAAE,IAAImlB,GAAGllB,EAAE,EAAE,CAAC,EAAE,IAAIC,CAAC,EAAEX,EAAE,IAAI4lB,GAAGnlB,EAAE,IAAItC,CAAC,EAAE,EAAE,CAAC,EAAE,IAAIuC,CAAC,EAAE3C,CAAC,CAAC,CAAC,SAASgnB,GAAGlnB,EAAE,EAAEA,EAAE,OAAO,CAAC,IAAIE,EAAEqnB,GAAG,WAAW,GAAG,EAAE,EAAE,GAAG,GAAG,GAAG,OAAO,GAAG,GAAGY,GAAGnoB,EAAE,CAAC,EAAEooB,GAAGpoB,EAAE,CAAC,EAAE,GAAG,GAAG,GAAG,OAAOqoB,GAAGroB,EAAE,CAAC,EAAE,IAAIM,EAAEJ,EAAEK,EAAEL,EAAE,IAAIunB,EAAE,EAAE,IAAI,GAAG,EAAE,EAAEE,GAAGpnB,EAAE,IAAImnB,EAAE,EAAE,IAAI,GAAG,CAAC,EAAE,IAAIA,EAAE,EAAE,EAAE,CAACH,GAAG,MAAMA,GAAG,KAAK,EAAEtlB,EAAE,CAACslB,GAAG,MAAMA,GAAG,KAAK,EAAEjnB,EAAEA,EAAE,IAAIonB,EAAE,EAAE,IAAIG,GAAG7nB,EAAE,CAAC,CAAC,EAAE,IAAIkC,EAAE,EAAEC,GAAG,EAAE,GAAG,GAAG,GAAGS,EAAET,GAAG,EAAE,EAAE,IAAI,GAAG,GAAG7B,EAAEynB,GAAGznB,EAAE,IAAIC,CAAC,EAAE,IAAI,EAAE,EAAE,EAAE,IAAIsnB,GAAG7nB,EAAEkC,EAAE,CAAC,CAAC,EAAE,EAAE,EAAE,IAAIulB,EAAE,EAAElnB,EAAEwnB,GAAGxnB,EAAE,IAAI,EAAE,EAAE,EAAE,IAAIsnB,GAAG7nB,EAAEkC,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE,IAAIulB,EAAE,EAAEnnB,EAAEA,EAAE,IAAI2B,EAAE,EAAE,EAAE1B,EAAEA,EAAE,IAAI,EAAE,EAAE,EAAE,IAAIsnB,GAAG7nB,EAAEkC,EAAE,EAAE,CAAC,EAAE,EAAE6lB,GAAG,EAAE,IAAI9lB,EAAE,EAAE,EAAE,EAAE,EAAE,IAAIwlB,EAAE,EAAE,EAAES,GAAGloB,EAAEkC,EAAE,EAAE,GAAG,IAAIulB,EAAE,EAAEnnB,EAAE,IAAI2B,EAAE,EAAE,CAAC,EAAEA,EAAEimB,GAAGloB,EAAEkC,EAAE,GAAG,EAAE,IAAID,EAAE,EAAE,EAAE1B,EAAE,IAAIsnB,GAAG7nB,EAAEkC,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE5B,CAAC,EAAE,CAACA,EAAE,CAAC,EAAE4B,GAAG,SAASA,IAAIC,GAAG,IAAIU,EAAE4kB,GAAG,IAAI,EAAE,IAAI,GAAG,EAAE,IAAI,CAAC,CAAC,EAAE,OAAOvlB,EAAEU,EAAEX,EAAE,GAAGA,EAAE,GAAG,IAAI,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,GAAG,IAAIA,EAAE,EAAE,EAAEA,EAAE,GAAGA,EAAE,GAAG,IAAI,EAAE,EAAE,EAAE3B,EAAEynB,GAAGznB,EAAE,IAAIC,CAAC,EAAE,IAAI,EAAE,EAAE,EAAE,IAAIsnB,GAAG7nB,EAAEkC,EAAE,CAAC,CAAC,EAAE,EAAE,EAAE,IAAIW,CAAC,EAAEtC,EAAEwnB,GAAGxnB,EAAE,IAAI,EAAE,EAAE,EAAE,IAAIsnB,GAAG7nB,EAAEkC,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE,IAAIW,CAAC,EAAEvC,EAAEA,EAAE,IAAI2B,EAAE,GAAG,IAAI,CAAC,CAAC,EAAE1B,EAAEA,EAAE,IAAI,EAAE,GAAG,IAAI,CAAC,EAAE,IAAIsnB,GAAG7nB,EAAEkC,EAAE,EAAE,CAAC,CAAC,EAAE,EAAE6lB,GAAG,EAAE,IAAI9lB,EAAE,EAAE,EAAE,EAAE,EAAE,IAAIY,CAAC,EAAE,EAAEqlB,GAAGloB,EAAEkC,EAAE,EAAE,GAAG,IAAIW,CAAC,EAAEvC,EAAE,IAAI2B,EAAE,EAAE,CAAC,EAAEA,EAAEimB,GAAGloB,EAAEkC,EAAE,GAAG,EAAE,IAAID,EAAE,EAAE,EAAE1B,EAAE,IAAIsnB,GAAG7nB,EAAEkC,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE5B,CAAC,EAAE,CAACA,EAAE,CAAC,EAAE0nB,GAAGA,GAAG,EAAE,GAAG/lB,EAAE,GAAGY,CAAC,EAAE,IAAI8kB,GAAGpnB,CAAC,EAAE,IAAIinB,EAAE,CAAC,EAAE,IAAI,CAAC,EAAEQ,GAAG,EAAE,GAAG/lB,EAAE,GAAGY,CAAC,EAAE,IAAIvC,CAAC,EAAEuC,CAAC,CAAC,CAAC,SAASikB,GAAG9mB,EAAE,EAAE,CAAC,OAAO,IAAI,SAASgnB,GAAGhnB,CAAC,EAAEqnB,GAAG,CAACrnB,CAAC,EAAE,CAAC,CAAC,CAAC,SAASsoB,GAAGtoB,EAAE,EAAE,CAAC,OAAOA,aAAa,cAAc,IAAI,WAAWA,aAAa,YAAY,IAAI,SAASA,aAAa,YAAY,IAAI,MAAM,CAAC,SAASqnB,GAAGrnB,EAAE,EAAE,CAAC,GAAG,IAAI,SAAS,MAAM,IAAI,MAAM,2CAA2C,EAAE,GAAG,MAAM,QAAQA,CAAC,IAAIA,EAAEkY,GAAGlY,CAAC,GAAGya,EAAE,EAAE,QAAQ,OAAO,GAAGxB,GAAGjZ,EAAE,CAAC,EAAEsoB,GAAGtoB,EAAE,CAAC,EAAE,OAAOA,EAAE,GAAG,GAAG,MAAM,IAAI,WAAW,IAAI,YAAY,OAAO,IAAI,aAAaA,CAAC,EAAE,GAAG,IAAI,QAAQ,OAAO,IAAI,WAAWA,CAAC,EAAE,GAAG,IAAI,OAAO,CAAC,IAAIE,EAAE,IAAI,WAAWF,EAAE,MAAM,EAAE,QAAQM,EAAE,EAAEA,EAAEJ,EAAE,OAAO,EAAEI,EAAE,KAAK,MAAMN,EAAEM,EAAE,IAAI,IAAIJ,EAAEI,GAAG,GAAG,OAAOJ,CAAC,KAAM,OAAM,IAAI,MAAM,qBAAqB,GAAG,CAAC,CAAC,SAASknB,IAAI,CAAC,OAAO3M,EAAE,EAAE,SAAS,IAAI,CAAC,CAAC,SAASwM,GAAGjnB,EAAE,EAAE,CAAC,OAAOya,EAAE,EAAE,SAAS,MAAMza,EAAE,CAAC,CAAC,CAAC,SAASgnB,GAAGhnB,EAAE,EAAE,QAAQ,CAAC,OAAO,EAAE,GAAG,QAAQya,EAAE,EAAE,SAAS,OAAOza,EAAE,CAAC,CAAC,CAAC,SAAS+mB,GAAG/mB,EAAE,EAAE,QAAQ,CAAC,OAAO,EAAE,GAAG,QAAQya,EAAE,EAAE,SAAS,OAAOza,EAAE,CAAC,CAAC,CAAC,IAAIuoB,GAAG,KAAK,CAAC,YAAYznB,EAAEZ,EAAE,CAAC,KAAK,aAAaY,EAAE,KAAK,OAAOZ,EAAEA,GAAG,OAAO,KAAK,OAAO,IAAIsoB,GAAG,CAAC,cAAc1nB,EAAEZ,EAAE,EAAE,CAAC,IAAIK,EAAEwB,EAAE,IAAI,CAACxB,EAAE,EAAE,CAAC,EAAEyB,EAAEC,EAAEmlB,GAAG,EAAE,GAAG,KAAK,aAAa,eAAe,EAAEplB,EAAE,KAAK,aAAa,KAAKD,CAAC,MAAM,CAACA,EAAE,EAAE,QAAQI,KAAK5B,EAAE4B,EAAE,SAAS,EAAEH,EAAE,QAAQ,QAAQ,CAAC,SAASolB,GAAG,EAAEnlB,CAAC,CAAC,CAAC,CAAC,GAAGwY,EAAE,EAAE,QAAQ,8BAA8B,EAAE,QAAQtY,EAAE,EAAEA,EAAE5B,EAAE,OAAO4B,IAAI,CAAC,IAAIS,EAAErC,EAAE4B,GAAGS,EAAE,KAAK,EAAE,KAAKC,GAAG,CAAC4lB,GAAG5lB,EAAED,EAAE,MAAM9B,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,WAAWA,EAAE,QAAQP,EAAE,OAAOL,EAAE,OAAO8B,EAAE,KAAKG,GAAGA,EAAE,QAAQ,EAAE,UAAUH,EAAE,KAAKG,GAAGA,EAAE,qBAAqB,KAAKA,EAAE,oBAAoB,EAAE,EAAE,CAAC,CAAC,CAAC,iBAAiBrB,EAAE,CAAC,GAAG,CAAC,WAAWZ,EAAE,QAAQ,EAAE,OAAOK,EAAE,OAAOwB,EAAE,UAAUC,CAAC,EAAElB,EAAE,EAAE,QAAQmB,GAAG,CAAC,QAAQ,IAAI,CAACA,EAAE,KAAK,EAAE1B,EAAEyB,CAAC,CAAC,EAAE,KAAKE,GAAG,CAAC,KAAK,OAAO,iBAAiBhC,EAAE+B,EAAEC,EAAE,GAAGA,EAAE,GAAGH,EAAEG,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAASumB,GAAGzoB,EAAE,EAAEE,EAAE,CAAC,GAAG,IAAI,UAAU,MAAM,GAAG,QAAQI,EAAE,EAAEA,EAAEN,EAAE,OAAOM,IAAI,CAAC,IAAIC,EAAEP,EAAEM,GAAG,GAAG,MAAMC,CAAC,GAAG,CAAC,SAASA,CAAC,EAAE,OAAO,QAAQ,KAAK,SAASA,uBAAuBL,IAAI,EAAE,EAAE,CAAC,MAAM,EAAE,CAAC,IAAIsoB,GAAG,KAAK,CAAC,iBAAiB1nB,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAE,CAAC,IAAIC,EAAE,OAAO1B,GAAG,SAASmY,GAAG,GAAGnY,MAAM,CAAC,EAAEA,EAAE,MAAM2B,EAAEwW,GAAG5X,EAAE,EAAE,EAAE,EAAEZ,EAAE,KAAK0C,EAAE1C,EAAE,KAAK,EAAEwY,GAAGxY,EAAE,MAAM,SAAS,EAAE,EAAE,EAAE4C,EAAE,GAAG,QAAQC,KAAKhB,EAAE,CAAC,IAAIiB,EAAEjB,EAAEgB,GAAG,GAAGC,GAAG,KAAK,CAAC,IAAIkB,EAAElB,EAAE,OAAO9C,EAAE,MAAMiE,EAAED,EAAE,OAAOpB,GAAG,GAAGC,MAAMoB,MAAMA,EAAE,EAAED,EAAE,KAAK,CAAC,CAAC,QAAQ,IAAI,KAAKhC,OAAOD,OAAO,MAAM,OAAOW,OAAOE,OAAOd,IAAI,mBAAmB,YAAY,aAAa,gBAAgB,eAAe,kBAAkB,CAAC,CAAC,EAAE,SAAS0mB,GAAG1oB,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,QAAQ2B,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI5B,EAAE,EAAE4B,GAAG,IAAI,GAAG,QAAQA,EAAE,EAAEA,EAAElC,EAAE,OAAOkC,IAAI,CAAC,IAAIC,EAAEnC,EAAEkC,GAAGU,EAAET,EAAE,OAAO,QAAQU,KAAKD,EAAE,CAAC,IAAIE,EAAEF,EAAEC,GAAGE,EAAE,GAAG,QAAQC,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,GAAG1C,EAAEwC,EAAE,IAAI,CAACX,EAAE,QAAQ,QAAQ+B,GAAG5D,EAAE4D,EAAE,IAAI,EAAE,EAAEnB,EAAE,GAAGxC,EAAE4B,EAAE,IAAI,GAAG,KAAK,CAAC,GAAGY,EAAE,KAAK,CAAC,CAAC,IAAI,EAAE,CAAC,EAAE,EAAE7C,EAAE,IAAI,GAAG,IAAI,EAAE,CAAC,EAAE,QAAQgC,EAAElC,EAAE,OAAO,EAAEkC,GAAG,EAAEA,IAAI,CAAC,IAAIC,EAAEnC,EAAEkC,GAAGU,EAAET,EAAE,OAAO,QAAQU,EAAE,EAAEA,EAAEV,EAAE,QAAQ,OAAOU,IAAI,GAAG,EAAEV,EAAE,QAAQU,GAAG,IAAI,CAAC,QAAQC,KAAKF,EAAE,EAAEA,EAAEE,GAAG,IAAI,GAAG,EAAEX,EAAE,IAAI,GAAG,KAAK,CAAC,CAAC,IAAIF,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAElC,EAAE,OAAOkC,IAAI,CAAC,IAAIC,EAAEnC,EAAEkC,GAAG,GAAG3B,EAAE4B,EAAE,KAAK,EAAEA,EAAE,IAAI,CAAC,IAAIS,EAAE,CAAC,EAAE,QAAQE,KAAKX,EAAE,OAAO,CAAC,IAAIY,EAAEZ,EAAE,OAAOW,GAAGxC,EAAEyC,EAAE,MAAMH,EAAEE,GAAGC,EAAE,CAAC,IAAIF,EAAE,OAAO,OAAO,CAAC,EAAEV,CAAC,EAAEU,EAAE,OAAOD,EAAEC,EAAE,QAAQV,EAAE,QAAQF,EAAE,KAAKY,CAAC,CAAC,CAAC,CAAC,OAAOZ,CAAC,CAAC,SAAS0mB,GAAG3oB,EAAE,EAAEE,EAAEI,EAAE,CAAC,QAAQC,EAAE,EAAE,OAAO,EAAEA,GAAG,EAAEA,IAAI,CAAC,IAAI,EAAE,EAAEA,GAAG,EAAE,CAAC,EAAE,GAAG,EAAE,QAAQ,QAAQ2B,GAAG,CAAC,IAAIC,EAAEnC,EAAEkC,EAAE,IAAIC,GAAG,KAAK,EAAE,KAAKA,CAAC,EAAE,EAAE,KAAK,IAAI,CAAC,CAAC,EAAE,EAAE,UAAU,KAAK,MAAM,IAAI,MAAM,4DAA4D,EAAE,aAAa,EAAE,IAAIF,EAAE,EAAE,SAAS,CAAC,EAAE,QAAQC,KAAK,EAAE,OAAO,CAAC,GAAG,EAAEA,KAAKD,GAAG,MAAM,IAAI,MAAM,iCAAiCC,iCAAiC,OAAO,KAAKD,CAAC,IAAI,EAAE,IAAIE,EAAEjC,EAAE,IAAI+B,EAAEC,GAAG,CAAC,EAAE,GAAGC,EAAE,QAAQ,UAAU,MAAM,IAAI,MAAM,4BAA4B,EAAE,qCAAqCD,yCAAyCC,EAAE,QAAQ,EAAE,IAAIS,EAAE,EAAE,OAAOV,GAAG,GAAG,CAAC8V,GAAG7V,EAAE,MAAMS,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,4BAA4B,EAAE,sCAAsCV,iBAAiBC,EAAE,wDAAwDS,EAAE,QAAQ,EAAE,GAAG5C,EAAE4C,EAAE,KAAK,KAAK5C,EAAE4C,EAAE,IAAIT,MAAM,CAAC,IAAIU,EAAE7C,EAAE4C,EAAE,IAAI5C,EAAE4C,EAAE,IAAItC,EAAEuC,EAAEV,CAAC,EAAEU,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI+lB,GAAG,GAAGC,GAAG,EAAEC,GAAG,EAAE,SAASC,GAAG/oB,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEqZ,GAAG,CAAC,EAAE,EAAEoP,GAAGhpB,EAAE,EAAEE,EAAEK,CAAC,EAAE,EAAE,EAAE,OAAO0B,EAAEgnB,GAAGjpB,EAAE,EAAEE,EAAEK,EAAE,CAAC,EAAE2B,EAAE,CAAC,QAAQ,EAAE,OAAO5B,IAAI4B,EAAE,KAAK,YAAYhC,GAAG,EAAEgC,EAAE,KAAK,WAAW,GAAG,EAAEA,EAAE,KAAK,aAAa,IAAI,EAAEA,EAAE,KAAK,WAAW,GAAGA,EAAE,KAAKD,EAAE,IAAIE,GAAG,OAAOA,CAAC,EAAE,KAAK;AAAA,CACnz0C,CAAC,EAAED,EAAE,KAAK;AAAA,CACV,CAAC,CAAC,SAAS8mB,GAAGhpB,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAE6X,GAAG,CAAC,EAAE,EAAE9X,EAAEA,EAAE,OAAO,GAAG,EAAE,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC,EAAE2B,EAAE,EAAE,OAAOC,EAAEhC,IAAI,YAAYgpB,GAAGlpB,CAAC,EAAEA,EAAE,GAAGiC,EAAE,EAAE,QAAQE,EAAE,EAAEA,EAAE5B,EAAE,EAAE4B,IAAI,CAAC,IAAIS,EAAET,EAAE,EAAE,QAAQU,EAAE,EAAEA,EAAE,EAAEA,IAAI,EAAEA,GAAG,KAAK,IAAI,EAAEA,GAAGsmB,GAAGjnB,EAAEU,EAAEC,GAAG,EAAE3C,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,CAAC,CAAC,SAASipB,GAAGnpB,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,OAAO,MAAM,QAAQN,CAAC,EAAEM,EAAE,GAAG,WAAWN,EAAE,GAAG,QAAQ8oB,EAAE,CAAC,OAAO,WAAW9oB,EAAE,GAAG,QAAQ8oB,EAAE,CAAC,KAAKxP,GAAGtZ,CAAC,EAAEM,EAAE,IAAIN,KAAKE,IAAI,OAAOI,EAAE8oB,GAAGppB,CAAC,EAAEM,EAAE,WAAWN,EAAE,QAAQ8oB,EAAE,CAAC,EAAE,SAAS,EAAEpQ,GAAGpY,EAAE,CAAC,CAAC,CAAC,SAAS8oB,GAAGppB,EAAE,CAAC,OAAOA,IAAI,EAAE,QAAQ,MAAM,CAAC,SAASipB,GAAGjpB,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,GAAG,CAAC,IAAI,EAAEL,IAAI,YAAY,EAAE,EAAE+B,EAAE,EAAE,GAAGC,EAAE,EAAE,OAAO,GAAGA,IAAI,EAAE,CAAC,GAAGhC,IAAI,YAAY,CAAC,IAAIgE,EAAEglB,GAAGlpB,CAAC,EAAE,MAAM,CAACmpB,GAAGjlB,EAAE,GAAG,EAAEhE,CAAC,CAAC,CAAC,CAAC,OAAOA,IAAI,OAAO,CAACkpB,GAAGppB,EAAE,EAAE,CAAC,EAAE,CAACA,EAAE,GAAG,SAAS,CAAC,CAAC,CAAC,GAAGkC,IAAI,EAAE,CAAC,GAAGD,EAAE2mB,GAAG,CAAC,IAAI,EAAEC,GAAG,EAAEthB,EAAE,MAAM,KAAKvH,EAAE,MAAM,EAAE,CAAC,CAAC,EAAE+E,EAAE,MAAM,KAAK/E,EAAE,OAAOiC,EAAE4mB,IAAI,EAAE5mB,EAAE,CAAC,CAAC,EAAE,OAAO/B,IAAI,cAAcqH,EAAE2hB,GAAG3hB,CAAC,EAAExC,EAAEmkB,GAAGnkB,CAAC,GAAG,CAAC,IAAIwC,EAAE,IAAI,CAAC5C,EAAEC,IAAIukB,GAAGxkB,EAAEpE,EAAEqE,GAAG1E,CAAC,CAAC,EAAE,KAAK,IAAI,EAAE,UAAU6E,EAAE,IAAI,CAACJ,EAAEC,IAAIukB,GAAGxkB,EAAEpE,EAAE0B,EAAE4mB,GAAGjkB,GAAG1E,CAAC,CAAC,EAAE,KAAK,IAAI,EAAE,GAAG,CAAC,CAAC,IAAIgE,EAAEhE,IAAI,YAAYgpB,GAAGlpB,CAAC,EAAE,MAAM,KAAKA,CAAC,EAAE,MAAM,CAAC,IAAIkE,EAAE,IAAI,CAAC,EAAEqD,IAAI4hB,GAAG,EAAE5oB,EAAEgH,GAAGrH,CAAC,CAAC,EAAE,KAAK,IAAI,EAAE,GAAG,CAAC,CAAC,IAAIiC,EAAE,EAAE,MAAM,CAAC,EAAES,EAAEtC,EAAE,MAAM,CAAC,EAAEuC,EAAEvC,EAAE,GAAG,EAAEwC,EAAE,CAAC,EAAE,GAAGb,EAAE2mB,GAAG,CAAC,QAAQ1kB,EAAE,EAAEA,EAAE2kB,GAAG3kB,IAAI,CAAC,IAAI,EAAEA,EAAErB,EAAE0E,EAAE,EAAE1E,EAAEC,EAAE,KAAK,GAAGmmB,GAAGjpB,EAAE,MAAM,EAAEuH,CAAC,EAAEpF,EAAEjC,EAAE0C,EAAErC,EAAE,EAAE,CAAC,CAAC,CAACuC,EAAE,KAAK,KAAK,EAAE,QAAQoB,EAAEjC,EAAE4mB,GAAG3kB,EAAEjC,EAAEiC,IAAI,CAAC,IAAI,EAAEA,EAAErB,EAAE0E,EAAE,EAAE1E,EAAEC,EAAE,KAAK,GAAGmmB,GAAGjpB,EAAE,MAAM,EAAEuH,CAAC,EAAEpF,EAAEjC,EAAE0C,EAAErC,EAAE2D,IAAIjC,EAAE,CAAC,CAAC,CAAC,CAAC,KAAM,SAAQiC,EAAE,EAAEA,EAAEjC,EAAEiC,IAAI,CAAC,IAAI,EAAEA,EAAErB,EAAE0E,EAAE,EAAE1E,EAAEC,EAAE,KAAK,GAAGmmB,GAAGjpB,EAAE,MAAM,EAAEuH,CAAC,EAAEpF,EAAEjC,EAAE0C,EAAErC,EAAE2D,IAAIjC,EAAE,CAAC,CAAC,CAAC,CAAC,IAAIc,EAAEb,IAAI,EAAE,IAAI,GAAGY,EAAE,GAAG,IAAIA,EAAE,GAAGC,EAAE,QAAQmB,EAAE,EAAEA,EAAEpB,EAAE,OAAO,EAAEoB,IAAIpB,EAAEoB,GAAG,IAAIpB,EAAEoB,GAAGnB,EAAE,IAAIC,EAAE;AAAA,EACt2C,QAAQkB,EAAE,EAAEA,EAAEhC,EAAEgC,IAAIlB,GAAG;AAAA,EACvB,OAAOF,EAAEA,EAAE,OAAO,GAAG,IAAIA,EAAEA,EAAE,OAAO,GAAG,KAAK,EAAE,GAAGE,GAAGF,CAAC,CAAC,SAASomB,GAAGlpB,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,GAAG,EAAE,EAAE,KAAK,CAACF,EAAEE,GAAGF,EAAEE,EAAE,EAAE,CAAC,EAAE,OAAO,CAAC,CAAC,IAAImpB,GAAG,KAAK,CAAC,YAAYvoB,EAAEZ,EAAE,EAAE,CAAC,GAAG,KAAK,MAAMA,EAAE,KAAK,MAAMY,EAAE,MAAM,EAAE,KAAK,KAAKsX,GAAGtX,CAAC,EAAE,GAAG,KAAK,CAAC,IAAIP,EAAE,EAAE,OAAOuX,EAAEvX,IAAI,KAAK,KAAK,IAAI,qBAAqBA,qDAAqD,KAAK,QAAQ,CAAC,CAAC,GAAGL,IAAI,YAAY,MAAM,IAAI,MAAM,4JAA4J,EAAE,KAAK,OAAO,GAAG8Y,GAAG9Y,EAAE,KAAK,IAAI,EAAE,KAAK,QAAQ0Z,GAAG9Y,CAAC,CAAC,CAAC,IAAIA,KAAKZ,EAAE,CAACA,EAAE,SAAS,IAAIA,EAAE,CAAC,CAAC,GAAG4X,EAAE5X,EAAE,SAAS,KAAK,KAAK,IAAI,uCAAuCA,EAAE,gCAAgC,KAAK,OAAO,EAAE,IAAI,EAAE,KAAK,WAAWA,CAAC,EAAE,KAAK,OAAO,GAAGY,CAAC,CAAC,OAAOA,EAAE,CAACA,EAAE,SAAS,IAAIA,EAAE,CAAC,CAAC,GAAG,IAAIZ,EAAE,EAAE,QAAQK,KAAKO,EAAE,CAAC,GAAGP,EAAE,GAAGA,GAAG,KAAK,MAAML,GAAG,CAAC,IAAI6B,EAAE,qCAAqCjB,qBAAqB,KAAK,QAAQ,MAAM,IAAI,MAAMiB,CAAC,CAAC,CAAC7B,GAAG,CAAC,IAAI,EAAEY,EAAEA,EAAE,OAAO,GAAG,QAAQP,EAAE,EAAEA,EAAEO,EAAE,OAAO,EAAE,EAAEP,EAAE,GAAG,KAAK,QAAQA,GAAGO,EAAEP,GAAG,OAAO,KAAK,OAAO,EAAE,CAAC,WAAWO,EAAE,CAAC,GAAG,KAAK,OAAO,EAAE,MAAO,GAAE,GAAG,KAAK,OAAO,EAAE,OAAOA,EAAE,GAAG,IAAIZ,EAAEY,EAAEA,EAAE,OAAO,GAAG,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAE,EAAEZ,GAAG,KAAK,QAAQ,GAAGY,EAAE,GAAG,OAAOZ,CAAC,CAAC,WAAWY,EAAE,CAAC,GAAG,KAAK,OAAO,EAAE,MAAM,CAAC,EAAE,GAAG,KAAK,OAAO,EAAE,MAAM,CAACA,CAAC,EAAE,IAAIZ,EAAE,IAAI,MAAM,KAAK,MAAM,MAAM,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAE,EAAEA,EAAE,GAAG,KAAK,MAAMY,EAAE,KAAK,QAAQ,EAAE,EAAEA,GAAGZ,EAAE,GAAG,KAAK,QAAQ,GAAG,OAAOA,EAAEA,EAAE,OAAO,GAAGY,EAAEZ,CAAC,CAAC,IAAI,MAAM,CAAC,OAAO,KAAK,MAAM,MAAM,CAAC,UAAU,CAAC,OAAOopB,GAAG,EAAE,WAAW,KAAK,OAAO,KAAK,MAAM,KAAK,KAAK,CAAC,CAAC,EAAEA,GAAG,KAAKC,GAAG,KAAKC,GAAG,KAAK,SAASC,GAAGzpB,EAAE,CAACspB,GAAGtpB,CAAC,CAAC,SAAS0pB,GAAG1pB,EAAE,CAACupB,GAAGvpB,CAAC,CAAC,SAAS2pB,GAAG3pB,EAAE,CAACwpB,GAAGxpB,CAAC,CAAC,IAAI4pB,GAAG,KAAK,CAAC,YAAY9oB,EAAEZ,EAAE,EAAEK,EAAE,CAAC,KAAK,KAAK,GAAG,KAAK,mBAAmB,GAAG,KAAK,MAAMO,EAAE,MAAM,EAAE,KAAK,MAAMZ,GAAG,UAAU,KAAK,KAAKkY,GAAGtX,CAAC,EAAE,KAAK,QAAQ8Y,GAAG9Y,CAAC,EAAE,KAAK,OAAO,EAAE,KAAK,GAAGP,EAAE,KAAK,SAAS,KAAK,KAAK,EAAE,KAAK,KAAK,SAAS,EAAE,QAAQ,CAAC,IAAI,MAAM,CAAC,OAAO,KAAK,MAAM,MAAM,CAAC,MAAM,QAAQ,CAAC,IAAIO,EAAE,MAAM,KAAK,KAAK,EAAE,OAAOyoB,GAAG,OAAO,KAAK,MAAM,KAAK,MAAMzoB,CAAC,CAAC,CAAC,YAAY,CAAC,OAAOyoB,GAAG,OAAO,KAAK,MAAM,KAAK,MAAM,KAAK,SAAS,CAAC,CAAC,CAAC,MAAM,OAAO,CAAC,IAAIzoB,EAAE,MAAM,KAAK,KAAK,EAAE,OAAOgZ,GAAG,KAAK,MAAMhZ,EAAE,KAAK,QAAQ,WAAW,CAAC,CAAC,WAAW,CAAC,OAAOgZ,GAAG,KAAK,MAAM,KAAK,SAAS,EAAE,KAAK,QAAQ,WAAW,CAAC,CAAC,MAAM,MAAM,CAAC,KAAK,gBAAgB,EAAE,IAAIhZ,EAAEwoB,GAAG,EAAE,KAAK,KAAK,MAAM,EAAE,GAAG,KAAK,QAAQ,SAAS,CAAC,IAAIppB,EAAE,MAAMY,EAAE,GAAG,CAAC,OAAOZ,EAAE,IAAI,GAAG6mB,GAAG,CAAC,CAAC,CAAC,OAAO,EAAN,CAAS,MAAM,IAAI,MAAM,+FAA+F,CAAC,CAAC,CAAC,OAAOjmB,CAAC,CAAC,UAAUA,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEwoB,GAAG,EAAE,UAAU,KAAK,OAAOxoB,CAAC,CAAC,CAAC,UAAU,CAAC,KAAK,gBAAgB,EAAE,IAAIA,EAAEwoB,GAAG,EAAE,SAAS,KAAK,MAAM,EAAE,GAAG,KAAK,QAAQ,SAAS,GAAG,CAAC,OAAOxoB,EAAE,IAAIZ,GAAG6mB,GAAG7mB,CAAC,CAAC,CAAC,OAAOA,EAAN,CAAS,MAAM,IAAI,MAAM,+FAA+F,CAAC,CAAC,OAAOY,CAAC,CAAC,MAAM,OAAO,CAAC,KAAK,gBAAgB,EAAE,IAAIA,EAAE,MAAMwoB,GAAG,EAAE,KAAK,KAAK,MAAM,EAAE,OAAO,KAAK,QAAQ,SAASxoB,EAAE,IAAI,WAAWA,EAAE,MAAM,CAAC,CAAC,SAAS,CAAC,KAAK,aAAawoB,GAAG,EAAE,cAAc,IAAI,EAAE,KAAK,mBAAmB,GAAG,CAAC,IAAI,YAAY,CAAC,OAAO,KAAK,kBAAkB,CAAC,iBAAiB,CAAC,GAAG,KAAK,WAAW,MAAM,IAAI,MAAM,qBAAqB,CAAC,CAAC,MAAMxoB,EAAE,GAAG,CAAC,OAAOyoB,GAAG,MAAM,KAAKzoB,CAAC,CAAC,CAAC,OAAO,CAAC,OAAO,KAAK,gBAAgB,EAAEyoB,GAAG,MAAM,IAAI,CAAC,CAAC,SAASzoB,EAAE,GAAG,CAAC,IAAIZ,EAAE,KAAK,SAAS,EAAE,OAAO6oB,GAAG7oB,EAAE,KAAK,MAAM,KAAK,MAAMY,CAAC,CAAC,CAAC,KAAKA,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEyoB,GAAG,KAAK,KAAKzoB,CAAC,CAAC,CAAC,SAASA,EAAE,GAAGZ,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEopB,GAAG,EAAE,aAAa,KAAKxoB,EAAEZ,EAAE,CAAC,CAAC,CAAC,EAAE,OAAO,eAAe0pB,GAAG,OAAO,YAAY,CAAC,MAAM5pB,GAAG,CAAC,CAACA,GAAGA,EAAE,MAAM,MAAMA,EAAE,UAAU,MAAMA,EAAE,iBAAiB,IAAI,CAAC,EAAE,SAAS6pB,GAAG,CAAC,OAAO5O,GAAG,SAAS,IAAI2O,EAAE,CAAC,CAACC,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAY9oB,EAAEZ,EAAE,EAAEK,EAAE,CAAC,MAAMO,EAAE,MAAMA,EAAE,MAAMA,EAAE,OAAOP,CAAC,EAAE,KAAK,UAAUL,EAAE,KAAK,KAAK,CAAC,CAAC,OAAOY,EAAE,CAAC,GAAGA,EAAE,QAAQ,KAAK,MAAM,MAAM,IAAI,MAAM,2BAA2BA,EAAE,8BAA8B,KAAK,mBAAmB,EAAE,GAAG,CAACkX,GAAGlX,EAAE,MAAM,KAAK,KAAK,EAAE,MAAM,IAAI,MAAM,2BAA2BA,EAAE,8BAA8B,KAAK,mBAAmB,EAAEwoB,GAAG,EAAE,cAAc,IAAI,EAAE,KAAK,OAAOxoB,EAAE,OAAOwoB,GAAG,EAAE,OAAO,KAAK,IAAI,CAAC,CAAC,SAAS,CAACA,GAAG,EAAE,gBAAgB,IAAI,EAAE,KAAK,mBAAmB,EAAE,CAAC,EAAE,OAAO,eAAeQ,GAAG,OAAO,YAAY,CAAC,MAAM9pB,GAAGA,aAAa4pB,IAAI5pB,EAAE,QAAQ,MAAMA,EAAE,kBAAkB,QAAQ,CAAC,EAAE,IAAI+pB,GAAG,CAAC,EAAE3pB,GAAG2pB,GAAG,CAAC,iBAAiB,IAAIC,GAAG,sBAAsB,IAAIC,GAAG,eAAe,IAAIC,GAAG,eAAe,IAAIC,EAAE,CAAC,EAAE,IAAIC,IAAI,SAASpqB,EAAE,CAACA,EAAE,GAAG,KAAKA,EAAE,GAAG,KAAKA,EAAE,GAAG,KAAKA,EAAE,GAAG,KAAKA,EAAE,GAAG,KAAKA,EAAE,GAAG,KAAKA,EAAE,GAAG,IAAI,GAAGoqB,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAASrqB,EAAE,CAACA,EAAE,QAAQ,UAAUA,EAAE,MAAM,QAAQA,EAAE,KAAK,QAAQA,EAAE,UAAU,WAAW,GAAGqqB,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAAStqB,EAAE,CAACA,EAAE,QAAQ,UAAUA,EAAE,MAAM,QAAQA,EAAE,KAAK,OAAOA,EAAE,UAAU,WAAW,GAAGsqB,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAASvqB,EAAE,CAACA,EAAE,QAAQ,UAAUA,EAAE,MAAM,UAAUA,EAAE,KAAK,UAAUA,EAAE,UAAU,WAAW,GAAGuqB,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAASxqB,EAAE,CAACA,EAAE,QAAQ,YAAYA,EAAE,MAAM,YAAYA,EAAE,KAAK,YAAYA,EAAE,UAAU,WAAW,GAAGwqB,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,CAAC,QAAQF,GAAG,MAAMF,GAAG,KAAKC,GAAG,UAAUE,EAAE,EAAE,SAASE,GAAG1qB,EAAE,EAAE,CAAC,GAAGA,IAAI,UAAU,IAAI,SAAS,CAAC,GAAGA,IAAI,UAAU,IAAI,SAAS,MAAM,SAAS,MAAM,IAAI,MAAM,kBAAkBA,UAAU,GAAG,CAAC,CAAC,OAAOyqB,GAAGzqB,GAAG,EAAE,CAAC,SAAS2qB,GAAG3qB,EAAE,CAAC,OAAO0qB,GAAG1qB,EAAE,OAAO,CAAC,CAAC,SAASmqB,GAAGnqB,EAAE,EAAE,CAAC,GAAGA,EAAE,QAAQ,EAAE,MAAM,MAAM,CAACA,EAAE,CAAC,EAAE,IAAIE,EAAEwqB,GAAG1qB,EAAE,MAAM,EAAE,KAAK,EAAE,MAAM,CAACA,EAAE,KAAKE,CAAC,EAAE,EAAE,KAAKA,CAAC,CAAC,CAAC,CAAC,SAAS8pB,GAAGhqB,EAAE,EAAE,CAAC8X,EAAE9X,EAAE,QAAQ,EAAE,MAAM,IAAI,2BAA2BA,EAAE,qBAAqB,EAAE,yBAAyB,CAAC,CAAC,SAASkqB,GAAGlqB,EAAE,EAAE,CAAC,OAAO,EAAE,KAAKE,GAAGA,EAAE,KAAKF,EAAE,EAAE,CAAC,CAAC,SAASiqB,GAAGjqB,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,OAAO4qB,GAAG5qB,EAAE,EAAE,IAAI,GAAG,EAAE,CAAC,CAAC,SAAS4qB,GAAG5qB,EAAE,EAAEE,EAAE,CAAC,GAAGF,GAAG,KAAK,OAAO,GAAGA,aAAa4pB,GAAG,CAAC,EAAE,KAAK5pB,CAAC,EAAE,MAAM,CAAC,GAAG,CAAC6qB,GAAG7qB,CAAC,EAAE,OAAO,IAAIM,EAAEN,EAAE,QAAQO,KAAKD,EAAE,CAAC,IAAI,EAAEA,EAAEC,GAAGL,EAAE,IAAI,CAAC,IAAIA,EAAE,IAAI,CAAC,EAAE0qB,GAAG,EAAE,EAAE1qB,CAAC,EAAE,CAAC,CAAC,SAAS2qB,GAAG7qB,EAAE,CAAC,OAAO,MAAM,QAAQA,CAAC,GAAG,OAAOA,GAAG,QAAQ,CAAC,SAAS8qB,GAAG9qB,EAAE,CAAC,OAAOA,EAAE,YAAY,IAAI,CAAC,IAAI+qB,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,oBAAoB,CAAC,EAAE,KAAK,eAAe,EAAE,KAAK,SAAS,EAAE,KAAK,WAAW,EAAE,KAAK,iBAAiB,EAAE,KAAK,eAAe,EAAE,KAAK,cAAc,EAAE,KAAK,YAAY,EAAE,KAAK,WAAW,CAAC,EAAE,KAAK,kBAAkB,CAAC,EAAE,KAAK,YAAY,EAAE,KAAK,WAAW,IAAI,QAAQ,KAAK,UAAU,GAAG,KAAK,cAAc,CAAC,SAAS,EAAE,WAAW,EAAE,UAAU,EAAE,QAAQ,CAAC,EAAE,OAAO,KAAK,IAAI,aAAa,CAAC,OAAO,MAAM,KAAK,IAAI,IAAI,KAAK,QAAQ,IAAIjqB,GAAGA,EAAE,IAAI,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS,CAAC,QAAQA,KAAK,KAAK,oBAAoB,KAAK,oBAAoBA,GAAG,QAAQ,CAAC,CAAC,EAAEkqB,GAAG,KAAK,CAAC,YAAYlqB,EAAE,CAAC,KAAK,IAAIA,EAAE,KAAK,SAAS,CAAC,EAAE,KAAK,gBAAgB,CAAC,EAAE,KAAK,qBAAqB,EAAE,KAAK,MAAM,IAAIiqB,EAAE,CAAC,MAAM,OAAO,CAAC,GAAG,KAAK,oBAAoB,KAAK,OAAO,KAAK,mBAAmB,KAAK,IAAI,CAAC,CAAC,EAAE,GAAG,KAAK,iBAAiB,KAAK,OAAO,IAAIjqB,EAAE,KAAK,kBAAkB,EAAE,QAAQZ,EAAE,EAAEA,EAAEY,EAAE,OAAOZ,IAAI,CAAC,IAAI,EAAEY,EAAEZ,GAAG,GAAG,MAAM,KAAK,kBAAkB,CAAC,EAAE,QAAQ,CAAC,MAAM,KAAK,WAAW,CAAC,EAAE,MAAM,CAAC,CAAC,MAAM,IAAI,MAAM,wEAAwE,CAAC,CAAC,IAAI,SAAS,CAAC,GAAG,KAAK,oBAAoB,KAAK,MAAM,IAAI,MAAM,YAAY,KAAK,gIAAgI,EAAE,GAAG,KAAK,iBAAiB,KAAK,CAAC,GAAG,CAAC,KAAKY,EAAE,UAAUZ,CAAC,EAAE,KAAK,gCAAgC,EAAE,GAAGA,EAAE,MAAM,IAAI,MAAM,iCAAiCY,sHAAsH,EAAE,KAAK,WAAWA,CAAC,CAAC,CAAC,OAAO,KAAK,eAAe,CAAC,cAAc,CAAC,OAAO,OAAO,KAAK,KAAK,eAAe,CAAC,CAAC,YAAYA,EAAE,CAAC,GAAG,EAAEA,KAAK,KAAK,UAAU,GAAGA,KAAK,KAAK,gBAAgB,CAAC,GAAG,CAAC,UAAUZ,CAAC,EAAE,KAAK,kBAAkBY,CAAC,EAAE,GAAGZ,EAAE,OAAO,IAAI,KAAM,QAAO,KAAK,OAAO,KAAK,SAASY,EAAE,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,KAAK,KAAK,gBAAgB,KAAK,gBAAgBA,GAAG,QAAQ,IAAI,CAAC,gBAAgBA,EAAEZ,EAAE,EAAE,EAAE,CAAC,OAAOY,KAAK,KAAK,iBAAiBklB,GAAG,GAAGllB,qEAAqE,EAAE,KAAK,KAAK,gBAAgBA,GAAG,CAAC,QAAQZ,EAAE,SAAS,CAAC,EAAE,GAAG,CAAC,MAAM,WAAWY,EAAE,CAAC,GAAG,KAAK,gBAAgBA,IAAI,KAAK,MAAM,IAAI,MAAM,iBAAiBA,0BAA0B,EAAE,GAAG,KAAK,YAAYA,EAAE,KAAK,SAASA,IAAI,KAAK,CAAC,KAAK,gBAAgB,KAAK,GAAG,CAAC,QAAQZ,EAAE,UAAU,CAAC,EAAE,KAAK,kBAAkBY,CAAC,EAAE,GAAG,EAAE,EAAE,MAAMZ,EAAEA,GAAG,MAAM,EAAE,CAAC,OAAO,KAAK,gBAAgB,KAAK,SAASY,GAAG,KAAK,uBAAuB,EAAE,KAAK,SAAS,IAAIynB,GAAG,KAAK,eAAe,EAAE,EAAE,CAAC,wBAAwB,CAAChC,GAAG,KAAK,WAAW,EAAE,QAAQ,GAAG,CAAC,EAAE,WAAW,MAAM,EAAE,UAAU,KAAK,eAAe,CAAC,CAAC,CAAC,CAAC,yBAAyBzlB,EAAE,CAACylB,GAAGzlB,CAAC,EAAE,QAAQR,GAAG,CAACA,EAAE,aAAa,MAAMA,EAAE,YAAY,KAAK,SAASQ,EAAE,CAAC,CAAC,CAAC,CAAC,kBAAkBA,EAAE,CAAC,IAAIZ,EAAE,KAAK,gBAAgBY,GAAG,GAAGZ,GAAG,KAAK,MAAM,IAAI,MAAM,6BAA6BY,2BAA2B,EAAE,GAAG,CAAC,IAAI,EAAEZ,EAAE,QAAQ,EAAE,GAAG,GAAG,EAAE,aAAakX,KAAK,OAAO,EAAE,MAAM,WAAW,CAAC,IAAI7W,EAAE,EAAE,KAAK,qBAAqBwB,EAAE,EAAE,KAAKC,GAAGzB,EAAE,KAAK,qBAAqB,IAAI,KAAK,SAASO,GAAGkB,EAAE,KAAK,mBAAmB,KAAK,GAAG,EAAE,MAAMA,IAAIzB,EAAE,KAAK,uBAAuB,KAAK,mBAAmB,KAAKylB,GAAG,6BAA6BllB,UAAU,EAAEklB,GAAGhkB,EAAE,OAAOA,EAAE,OAAO,GAAG,GAAG,EAAE,OAAO,KAAK,mBAAmBD,EAAE,CAAC,QAAQA,EAAE,UAAU,EAAE,CAAC,KAAM,QAAO,KAAK,SAASjB,GAAG,EAAE,CAAC,QAAQ,GAAG,UAAU,EAAE,CAAC,OAAO,EAAN,CAAS,OAAOklB,GAAG,6BAA6BllB,UAAU,EAAEklB,GAAG,EAAE,OAAO,EAAE,OAAO,EAAE,CAAC,QAAQ,GAAG,UAAU,EAAE,CAAC,CAAC,CAAC,cAAcllB,EAAE,CAAC,GAAG,EAAEA,KAAK,KAAK,iBAAiB,MAAM,IAAI,MAAM,GAAGA,iCAAiC,EAAE,KAAK,cAAcA,GAAG,KAAK,oBAAoB,MAAM,KAAK,uBAAuBA,KAAK,KAAK,WAAW,KAAK,yBAAyBA,CAAC,EAAE,KAAK,SAASA,GAAG,QAAQ,EAAE,OAAO,KAAK,SAASA,IAAI,OAAO,KAAK,gBAAgBA,GAAG,KAAK,cAAcA,IAAI,KAAK,mBAAmB,KAAK,KAAK,YAAY,KAAK,KAAK,gBAAgB,KAAK,CAAC,mBAAmB,CAAC,GAAG,OAAO,KAAK,KAAK,eAAe,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,+BAA+B,EAAE,OAAO,OAAO,KAAK,KAAK,eAAe,EAAE,KAAK,CAACA,EAAEZ,IAAI,KAAK,gBAAgBA,GAAG,SAAS,KAAK,gBAAgBY,GAAG,QAAQ,CAAC,CAAC,iCAAiC,CAAC,IAAIA,EAAE,KAAK,kBAAkB,EAAE,QAAQZ,EAAE,EAAEA,EAAEY,EAAE,OAAOZ,IAAI,CAAC,IAAI,EAAEY,EAAEZ,GAAG,CAAC,QAAQK,EAAE,UAAUwB,CAAC,EAAE,KAAK,kBAAkB,CAAC,EAAE,GAAGA,GAAGxB,EAAE,MAAM,CAAC,KAAK,EAAE,UAAUwB,CAAC,CAAC,CAAC,MAAM,IAAI,MAAM,wEAAwE,CAAC,CAAC,SAASjB,EAAEZ,EAAE,CAAC,IAAI,EAAE,KAAK,MAAM,WAAW,IAAIA,CAAC,EAAEK,EAAE,EAAE,QAAQwB,EAAE,KAAK,SAAS7B,CAAC,EAAE8B,EAAEzB,EAAE,SAASL,CAAC,EAAEK,EAAE,YAAYL,EAAE,EAAE,EAAE,EAAE,QAAQY,EAAEA,EAAE,KAAKZ,EAAE6B,EAAE,EAAE,MAAM,EAAE,MAAMC,CAAC,EAAE,KAAK,uBAAuB,GAAG,KAAK,MAAM,kBAAkB,KAAK,MAAM,kBAAkB,OAAO,IAAI,CAAC,KAAKlB,EAAEZ,EAAE,CAAC,IAAI,EAAE,KAAK,GAAGA,GAAG,KAAK,CAAC,GAAG,OAAOY,GAAG,WAAW,MAAM,IAAI,MAAM,qCAAqC,EAAEZ,EAAEY,CAAC,KAAK,CAAC,GAAG,OAAOA,GAAG,UAAU,EAAEA,aAAa,QAAQ,MAAM,IAAI,MAAM,gFAAgF,EAAE,GAAG,OAAOZ,GAAG,WAAW,MAAM,IAAI,MAAM,gFAAgF,EAAE,EAAEY,CAAC,CAAC,IAAIP,EAAE,OAAO,KAAK,UAAU,IAAI,KAAK,WAAW,CAAC,EAAE,IAAI,KAAK,SAASA,CAAC,EAAE,KAAKA,EAAEL,EAAE,EAAEK,aAAa,SAAS,QAAQ,MAAM,yCAAyC,EAAEA,EAAE,CAAC,CAAC,UAAUO,EAAEZ,EAAE,EAAE,CAACY,EAAE,EAAE,GAAG,CAAC,IAAIP,EAAE,EAAE,EAAE,OAAOL,EAAE,EAAEK,CAAC,OAAOA,EAAN,CAAS,MAAML,EAAE,EAAEK,CAAC,CAAC,CAAC,cAAc,CAAC,OAAOyqB,GAAG,cAAc,CAAC,gBAAgB,CAAC,OAAOA,GAAG,gBAAgB,CAAC,MAAMlqB,EAAE,CAAC,IAAIZ,EAAE+qB,EAAE,UAAU3L,GAAG,CAAC,EAAExe,CAAC,CAAC,EAAE,EAAE,CAAC,EAAEA,CAAC,EAAEP,EAAEyB,IAAI,CAAC,EAAE,IAAI,CAAC,IAAIC,EAAE,UAAUC,EAAE,CAAC,EAAEF,CAAC,EAAE,EAAE,CAAC,MAAMC,CAAC,EAAE,OAAOgpB,EAAE,UAAUxO,GAAGva,EAAE,CAAC,CAAC,CAAC,GAAGH,EAAE,CAAC,EAAE,OAAO,KAAK,YAAY,KAAK,MAAM,YAAY,KAAK,EAAE,CAAC7B,CAAC,EAAEK,EAAEwB,EAAE,CAAC,CAAC,EAAE7B,CAAC,CAAC,UAAUY,EAAEZ,EAAE,EAAE,CAAC,GAAG,KAAK,aAAa,MAAM,KAAK,QAAUkmB,GAAGtlB,EAAE,KAAK,WAAW,GAAG,KAAM,MAAM,IAAI,MAAM,WAAWA,kCAAkC,KAAK,cAAc,EAAE,OAAO,KAAK,cAAc,CAAC,WAAWA,EAAE,OAAOZ,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,wBAAwB,CAAC,OAAO,KAAK,IAAI,QAAQ,SAAS,CAAC,CAAC,sBAAsBY,EAAEZ,EAAE,EAAE,CAAC,IAAIK,EAAE,KAAK,QAAQ,WAAW,EAAEwB,EAAE,EAAE,EAAE,QAAQG,GAAG,CAACH,GAAGG,EAAE,QAAQ,YAAY,EAAE,CAAC,CAAC,EAAE,IAAIF,EAAE,KAAK,MAAM,kBAAkB,KAAK,MAAM,kBAAkB,OAAO,GAAGC,EAAE1B,EAAEL,EAAE6B,EAAEC,EAAE,GAAGC,EAAE,EAAE,MAAM,IAAI,MAAM,YAAY,KAAK,6CAA6CA,8BAA8BnB,IAAI,CAAC,CAAC,cAAcA,EAAE,CAAC,IAAIZ,EAAE,EAAE,CAAC,EAAEK,EAAE,KAAK,SAAS,EAAEwB,EAAE,KAAK,MAAM,SAASC,EAAE,KAAK,MAAM,WAAW,KAAK,uBAAuB,GAAG,KAAK,MAAM,kBAAkB,KAAK,CAAC,EAAE,IAAIC,EAAE,KAAK,aAAa,MAAM,KAAK,QAAQ,IAAIC,EAAE,EAAE4oB,GAAGhqB,CAAC,EAAEA,EAAE,WAAW,KAAK,MAAM,aAAa,KAAK,KAAK,MAAM,YAAY,KAAK,GAAG,GAAGgqB,GAAGhqB,CAAC,EAAE,CAAC,GAAG,CAAC,WAAWkC,EAAE,OAAOkB,EAAE,MAAMC,CAAC,EAAErD,EAAE,KAAK,aAAa,MAAM,KAAK,QAAQ,IAAIyG,EAAE6e,GAAGpjB,EAAE,KAAK,WAAW,EAAE8U,EAAEvQ,GAAG,KAAK,IAAI,kCAAkCvE,mBAAmB,KAAK,cAAc,EAAEf,EAAE,IAAI,CAAC,IAAI,EAAE,KAAK,QAAQ,WAAW,EAAEC,EAAEqF,EAAE,WAAW,CAAC,OAAOrD,EAAE,MAAMC,EAAE,QAAQ,KAAK,OAAO,CAAC,EAAE,IAAIQ,EAAE,MAAM,QAAQzC,CAAC,EAAEA,EAAE,CAACA,CAAC,EAAE,KAAK,uBAAuB,GAAG,KAAK,sBAAsBc,EAAE,EAAE2B,CAAC,EAAE,IAAIC,EAAED,EAAE,IAAIE,GAAGA,EAAE,MAAM,KAAKA,EAAE,KAAK,yBAAyBA,CAAC,CAAC,EAAE,GAAGtE,EAAE,CAAC,IAAIsE,EAAE,KAAK,sBAAsB7B,EAAEkB,EAAEU,CAAC,EAAE,EAAE,KAAK,2BAA2BC,CAAC,CAAC,CAAC,OAAOD,CAAC,CAAC,KAAK,CAAC,GAAG,CAAC,YAAY5B,CAAC,EAAElC,EAAEoD,EAAEC,GAAG,CAAC,CAAC5D,IAAI,EAAE4D,EAAE,IAAIoD,GAAG,KAAK,KAAK,KAAK,MAAMA,CAAC,CAAC,CAAC,EAAE,EAAEtF,EAAE,IAAI,CAAC,IAAIkC,EAAE,KAAK,QAAQ,WAAW,EAAEjC,EAAE,KAAK,KAAK,IAAIc,EAAE,KAAK,QAAQkB,CAAC,CAAC,EAAE,IAAIqD,EAAE,MAAM,QAAQrF,CAAC,EAAEA,EAAE,CAACA,CAAC,EAAE,OAAO,KAAK,uBAAuB,GAAG,KAAK,sBAAsB,EAAEiC,EAAEoD,CAAC,EAAEA,CAAC,CAAC,CAAC,GAAG,CAAC,OAAO3E,EAAE,MAAM,CAAC,EAAE9B,EAAEgC,EAAEgoB,GAAGhqB,CAAC,EAAE,KAAKA,EAAE,cAAciC,EAAE,OAAO,KAAK,UAAU,IAAI,KAAK,MAAM,cAAc,IAAI,KAAK,MAAM,cAAc,IAAI,CAAC,CAAC,KAAK,IAAI,QAAQ,OAAO,GAAG,CAAC,KAAK,MAAM,UAAU7C,EAAE+B,EAAE,GAAGc,EAAE,KAAK,SAAS,cAAc,EAAEH,EAAE,IAAIX,EAAE,CAAC,EAAE,KAAK,IAAI,QAAQ,OAAO,GAAG,KAAK,SAAS,iBAAiBc,CAAC,EAAE7C,EAAE6C,EAAE,QAAQ,CAAC,EAAExC,GAAG,KAAK,YAAY,EAAEqC,EAAE1C,EAAE4C,EAAE,EAAE,CAAC,EAAE,KAAK,MAAM,WAAW,KAAK,MAAM,cAAc,QAAQ,KAAK,CAAC,KAAK,EAAE,WAAW,KAAK,MAAM,SAASf,EAAE,mBAAmB,KAAK,MAAM,SAAS,aAAa,KAAK,MAAM,WAAWC,EAAE,qBAAqB,KAAK,MAAM,WAAW,YAAY,OAAO,KAAKY,CAAC,EAAE,IAAII,GAAGJ,EAAEI,IAAI,KAAKJ,EAAEI,GAAG,MAAM,IAAI,EAAE,aAAa9C,EAAE,IAAI8C,GAAGA,EAAE,KAAK,EAAE,aAAaD,EAAE,OAAO,UAAUA,EAAE,SAAS,CAAC,EAAE,MAAM,QAAQb,CAAC,EAAEhC,EAAEA,EAAE,EAAE,CAAC,2BAA2BY,EAAE,CAAC,OAAOA,EAAE,IAAIR,GAAG,KAAK,KAAK,KAAK,MAAMA,CAAC,CAAC,CAAC,CAAC,CAAC,sBAAsBQ,EAAEZ,EAAE,EAAE,CAAC,IAAIK,EAAE+lB,GAAGxlB,CAAC,EAAE,GAAGP,GAAG,KAAK,CAAC,IAAIwB,EAAExB,EAAE,cAAc,CAAC,EAAEyB,EAAEzB,EAAE,eAAe,CAAC,EAAE0B,EAAE1B,EAAE,eAAeuX,EAAE,MAAM,QAAQ5X,CAAC,EAAE,IAAI,wDAAwD,EAAE+B,EAAE,OAAO,KAAK/B,CAAC,EAAE,IAAI,GAAGA,EAAE,EAAE,GAAG+B,EAAEF,EAAE,IAAI,GAAG7B,EAAE,EAAE,EAAE,IAAIgC,EAAE,EAAE,OAAO,CAAC,EAAEU,IAAIZ,EAAEY,EAAE,EAAE,OAAOX,EAAE,OAAOC,CAAC,CAAC,CAAC,MAAM,CAAC,CAAC,CAAC,WAAWpB,EAAEZ,EAAE,EAAEK,EAAE,CAAC,GAAGO,GAAG,KAAK,MAAM,IAAI,MAAM,+CAA+C,EAAE,EAAE,GAAG,UAAUP,EAAEA,GAAG,KAAK,QAAQ,IAAIwB,EAAEjB,EAAE,IAAI,UAAUwY,GAAGxY,EAAE,EAAE,IAAIiB,EAAEjB,EAAE,IAAIoB,GAAG8kB,GAAG9kB,CAAC,CAAC,GAAG,IAAIF,EAAEzB,EAAE,MAAMwB,EAAE7B,EAAE,CAAC,EAAE+B,EAAE,IAAI2nB,GAAG1pB,EAAE,EAAE8B,EAAE,KAAK,aAAa,CAAC,EAAE,GAAG,KAAK,YAAYC,EAAE1B,CAAC,EAAE,IAAI,SAAS,CAAC,IAAI2B,EAAE,KAAK,MAAM,WAAW,IAAIF,CAAC,EAAE,EAAEqX,GAAGtX,CAAC,EAAE,KAAK,MAAM,UAAU,EAAEG,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,OAAOD,CAAC,CAAC,qBAAqBnB,EAAEZ,EAAE,EAAEK,EAAE,CAAC,EAAE,GAAG,UAAU,IAAIwB,EAAE,CAAC,OAAOjB,EAAE,MAAMZ,EAAE,MAAM,CAAC,EAAE,OAAO,KAAK,yBAAyB6B,EAAExB,CAAC,CAAC,CAAC,yBAAyBO,EAAEZ,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAMK,EAAE,MAAMwB,CAAC,EAAEjB,EAAEkB,EAAE,IAAI4nB,GAAGrpB,EAAEwB,EAAE,EAAE,KAAK,aAAa,CAAC,EAAE,OAAO,KAAK,YAAYC,EAAE9B,CAAC,EAAE8B,CAAC,CAAC,aAAalB,EAAEZ,EAAE,GAAG,EAAEK,EAAE,CAAC,EAAE,GAAG,KAAK,eAAe,EAAE,SAAS,EAAEA,GAAG,MAAMA,IAAIO,EAAE,QAAQA,EAAEA,EAAE,KAAKP,CAAC,GAAG,IAAIwB,EAAE,IAAI+nB,GAAGhpB,EAAEZ,EAAE,EAAE,KAAK,aAAa,CAAC,EAAE,GAAG,KAAK,MAAM,oBAAoB6B,EAAE,OAAO,KAAK,MAAM,IAAI,MAAM,sBAAsBA,EAAE,6BAA6B,EAAE,OAAO,KAAK,MAAM,oBAAoBA,EAAE,MAAMA,EAAE,KAAK,OAAOA,EAAE,KAAK,OAAO,EAAEA,CAAC,CAAC,YAAYjB,EAAEZ,EAAE,CAAC,KAAK,MAAM,aAAaY,EAAE,QAAQ,UAAU,KAAK,MAAM,mBAAmB,IAAI,EAAE,EAAEA,EAAE,QAAQ,aAAaA,EAAE,QAAQ,WAAW,EAAEA,EAAE,KAAKsY,GAAGtY,EAAE,KAAK,GAAG,KAAK,MAAM,UAAU,EAAE,KAAK,MAAM,WAAW,IAAIA,EAAE,MAAM,IAAI,KAAK,MAAM,iBAAiB,KAAK,MAAM,WAAW,IAAIA,EAAE,OAAO,CAAC,QAAQZ,GAAG,KAAK,QAAQ,MAAMY,EAAE,MAAM,MAAMA,EAAE,MAAM,MAAM,CAAC,CAAC,GAAGA,aAAagpB,IAAI,KAAK,MAAMhpB,CAAC,CAAC,CAAC,OAAOA,EAAEZ,EAAE,CAAC,KAAK,YAAYY,EAAEZ,CAAC,EAAE,KAAK,QAAQ,OAAOY,EAAE,MAAM,CAAC,CAAC,aAAaA,EAAEZ,EAAE,CAAC,KAAK,MAAM,WAAW,IAAIY,CAAC,GAAG,KAAK,MAAM,WAAW,IAAIA,CAAC,EAAE,UAAUZ,IAAI,KAAK,MAAM,WAAW,OAAOY,CAAC,EAAE,KAAK,MAAM,iBAAiB,CAAC,cAAcA,EAAE,CAAC,GAAG,CAAC,KAAK,MAAM,WAAW,IAAIA,EAAE,MAAM,EAAE,OAAO,IAAIZ,EAAE,KAAK,MAAM,WAAW,IAAIY,EAAE,MAAM,EAAE,GAAG,KAAK,MAAM,aAAaA,EAAE,QAAQ,WAAW,KAAK,MAAM,mBAAmB,KAAK,MAAM,UAAUZ,EAAE,OAAOY,EAAE,QAAQ,aAAaA,EAAE,QAAQ,SAAS,CAAC,IAAI,EAAEA,EAAE,KAAKsY,GAAGtY,EAAE,KAAK,EAAE,KAAK,MAAM,UAAU,CAAC,CAACZ,EAAE,QAAQ,YAAYY,EAAE,MAAM,GAAG,KAAK,aAAaA,EAAE,OAAOZ,EAAE,OAAO,CAAC,CAAC,kBAAkB,CAAC,QAAQY,KAAK,KAAK,MAAM,oBAAoB,CAAC,IAAIZ,EAAE,KAAK,MAAM,oBAAoBY,GAAG,KAAK,gBAAgBZ,CAAC,CAAC,CAAC,CAAC,gBAAgBY,EAAE,CAAC,KAAK,cAAcA,CAAC,EAAE,KAAK,MAAM,oBAAoBA,EAAE,OAAO,MAAM,OAAO,KAAK,MAAM,oBAAoBA,EAAE,KAAK,CAAC,QAAQ,CAAC,IAAIA,EAAE,KAAK,QAAQ,OAAO,EAAE,OAAOA,EAAE,WAAW,KAAK,MAAM,WAAWA,EAAE,eAAe,KAAK,MAAM,eAAeA,EAAE,SAAS,KAAK,MAAM,SAAS,KAAK,MAAM,iBAAiB,IAAIA,EAAE,WAAW,GAAGA,EAAE,SAAS,OAAOA,EAAE,QAAQ,CAAC,GAAGA,EAAE,QAAQ,KAAK,uEAAuE,GAAGA,CAAC,CAAC,MAAM,QAAQA,EAAE,CAAC,KAAK,MAAM,UAAU,GAAG,IAAIZ,EAAE,KAAK,MAAM,SAAS,EAAE,KAAK,MAAM,WAAW,KAAK,MAAM,cAAc,QAAQ,CAAC,EAAE,KAAK,MAAM,cAAc,OAAO,MAAMY,EAAE,EAAE,KAAK,MAAM,UAAU,GAAG,KAAK,MAAM,cAAc,UAAU,KAAK,IAAI,GAAG,KAAK,MAAM,cAAc,QAAQ,IAAIP,GAAGA,EAAE,kBAAkB,CAAC,EAAE,KAAK,MAAM,cAAc,SAAS,KAAK,MAAM,SAASL,EAAE,KAAK,MAAM,cAAc,WAAW,KAAK,MAAM,WAAW,EAAE,QAAQK,KAAK,KAAK,MAAM,cAAc,QAAQA,EAAE,aAAa,MAAMA,EAAE,aAAaA,EAAE,UAAU,MAAMA,EAAE,UAAU,OAAO,KAAK,MAAM,aAAa,CAAC,UAAU,CAAC,OAAO,KAAK,MAAM,cAAc,GAAG,KAAK,MAAM,cAAc,CAAC,CAAC,YAAYO,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAE,CAAC,IAAIC,EAAE,CAAC,GAAG,KAAK,MAAM,iBAAiB,WAAWnB,EAAE,OAAOZ,EAAE,QAAQ,EAAE,MAAM6B,CAAC,EAAEG,EAAEokB,GAAGxlB,CAAC,EAAEoB,GAAG,OAAO3B,EAAE2B,EAAE,UAAU3B,GAAG,OAAO0B,EAAE,SAAS,IAAI,EAAE,EAAE,IAAI,CAACW,EAAE,IAAI,CAAC,GAAGA,GAAG,KAAK,CAAC,IAAIE,EAAE,EAAE,GAAGC,EAAEiX,GAAGlX,EAAE,KAAKA,EAAE,KAAK,EAAE,OAAO,KAAK,WAAWC,EAAED,EAAE,MAAMA,EAAE,KAAK,CAAC,CAAC,OAAOF,CAAC,CAAC,EAAErC,EAAE,EAAE,OAAO,EAAE,EAAE,EAAE,GAAGwB,EAAEC,CAAC,IAAI,KAAK,MAAM,WAAW,KAAKC,CAAC,CAAC,CAAC,KAAKnB,EAAE,CAAC,OAAOA,EAAE,KAAK,GAAGA,CAAC,CAAC,WAAW,CAAC,KAAK,MAAM,gBAAgB,IAAI,KAAK,MAAM,WAAW,CAAC,GAAG,KAAK,MAAM,eAAe,CAAC,SAAS,CAAC,KAAK,MAAM,eAAe,CAAC,WAAWA,EAAE,CAAC,IAAIZ,EAAE,CAAC,MAAM,CAAC,EAAE,KAAK,gBAAgB,GAAG,KAAK,MAAM,aAAa,EAAEY,IAAIZ,EAAE,KAAKY,GAAG,KAAK,MAAM,WAAW,KAAKZ,CAAC,EAAE,KAAK,MAAM,YAAYA,CAAC,CAAC,SAASY,EAAE,CAAC,IAAIZ,EAAE+pB,GAAGnpB,CAAC,EAAE,EAAE,IAAI,IAAIZ,EAAE,IAAI6B,GAAGA,EAAE,EAAE,CAAC,EAAE,QAAQA,EAAE,EAAEA,EAAE,KAAK,MAAM,YAAY,MAAM,OAAOA,IAAI,CAAC,IAAIC,EAAE,KAAK,MAAM,YAAY,MAAMD,GAAG,CAACC,EAAE,MAAM,CAAC,EAAE,IAAIA,EAAE,EAAE,GAAGA,EAAE,QAAQ,CAAC,CAAC,IAAIzB,EAAE,KAAK,MAAM,WAAW,IAAI,EAAE,KAAK,MAAM,YAAY,KAAK,MAAM,WAAW,SAAS,EAAE,KAAK,KAAK,MAAM,WAAW,KAAK,MAAM,WAAW,OAAO,GAAGL,EAAE,QAAQ6B,GAAG,CAAC,CAACA,EAAE,MAAMA,EAAE,UAAUxB,EAAE,IAAI,KAAK,MAAMwB,CAAC,CAAC,CAAC,CAAC,CAAC,UAAUjB,EAAEZ,EAAE,EAAEK,EAAE,GAAG,CAAC,GAAGuX,EAAE5X,EAAE,OAAO,EAAE,IAAI,2CAA2C,EAAE,GAAG,MAAM,EAAE,QAAQ,UAAU,MAAM,IAAI,MAAM,0CAA0C,EAAE,QAAQ,EAAE,IAAI6B,EAAE,KAAK,UAAU,IAAI,KAAK,UAAU,EAAE,IAAI,KAAK,QAAQ,EAAE,IAAI,KAAK,KAAK,UAAUjB,CAAC,CAAC,EAAEgX,EAAE/V,aAAa6nB,GAAG,IAAI,gDAAgD,EAAE,IAAI5nB,EAAE0mB,GAAG,KAAK,MAAM,WAAWxoB,EAAE6B,CAAC,EAAE,GAAG,CAACxB,GAAGyB,EAAE,SAAS,GAAG9B,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,qIAAqI,EAAE,OAAO,KAAK,KAAK,WAAW,IAAI,CAAC,IAAI+B,EAAE,CAAC,EAAEA,EAAEF,EAAE,IAAI,GAAG,KAAKmpB,GAAGnpB,EAAE,KAAK,EAAE,EAAE4mB,GAAG1mB,EAAED,EAAE,GAAG,KAAK,KAAK,CAAC,EAAEmpB,EAAE,EAAE,IAAIjpB,EAAEhC,EAAE,IAAI,GAAG+B,EAAE,EAAE,GAAG,EAAE,OAAO,KAAK,MAAM,gBAAgB,IAAI,KAAK,MAAM,WAAW,QAAQ,GAAG,CAAC,QAAQW,KAAK,EAAE,MAAMA,EAAE,QAAQ,CAAC,CAAC,EAAE,KAAK,MAAM,WAAW,MAAM,CAAC,MAAMb,EAAE,MAAMG,CAAC,CAAC,CAAC,CAAC,CAAC,WAAWpB,EAAE,CAAC,OAAOgX,EAAE4B,GAAG5Y,CAAC,EAAE,IAAI,mDAAmD,EAAE,IAAIZ,IAAI,CAAC4X,EAAE5X,EAAE,MAAM+B,GAAGA,aAAa2nB,EAAE,EAAE,IAAI,kEAAkE,EAAE,IAAI,EAAErpB,EAAE,CAAC,EAAEL,EAAE,QAAQ,CAAC+B,EAAEC,IAAI,CAAC3B,EAAE2B,GAAGD,CAAC,CAAC,EAAE,IAAIF,EAAE,CAACE,EAAEC,KAAK,EAAEpB,EAAE,GAAGZ,EAAEgC,CAAC,EAAE4V,EAAE,EAAE,iBAAiB8R,GAAG,IAAI,4FAA4F,EAAE9R,EAAE4B,GAAG,EAAE,QAAQ,EAAE,IAAI,kGAAkG,EAAE,EAAE,OAAO1X,EAAE,CAACC,EAAEC,IAAI,CAAC,IAAI,EAAE,EAAE,SAASD,EAAEC,CAAC,EAAEU,EAAE,MAAM,QAAQ,CAAC,EAAE,EAAE,CAAC,CAAC,EAAEkV,EAAElV,EAAE,SAAS1C,EAAE,OAAO,IAAI,qKAAqK,EAAE4X,EAAElV,EAAE,MAAME,GAAGA,aAAa8mB,EAAE,EAAE,IAAI,sIAAsI,EAAE,IAAI,EAAE,CAAC,EAAE,OAAOhnB,EAAE,QAAQ,CAACE,EAAEC,IAAI,CAAC,EAAEA,GAAG,IAAID,CAAC,CAAC,EAAE,CAAC,EAAE,OAAO,KAAK,cAAc,CAAC,YAAYf,EAAE,cAAcC,EAAE,OAAOzB,CAAC,CAAC,CAAC,CAAC,CAAC,SAASO,EAAE,CAAC,OAAO,KAAK,MAAM,WAAW,IAAIA,CAAC,EAAE,QAAQ,SAASA,CAAC,CAAC,CAAC,KAAKA,EAAE,CAAC,OAAO,KAAK,MAAM,WAAW,IAAIA,CAAC,EAAE,QAAQ,KAAKA,CAAC,CAAC,CAAC,UAAUA,EAAEZ,EAAE,CAAC,OAAO,KAAK,MAAM,WAAW,IAAIY,CAAC,EAAE,QAAQ,UAAUA,EAAEZ,CAAC,CAAC,CAAC,MAAM,KAAKY,EAAE,CAAC,IAAIZ,EAAEknB,GAAG,EAAE,EAAE,MAAM,KAAK,QAAQ,KAAKtmB,CAAC,EAAE,OAAO,EAAE,OAAOsmB,GAAG,EAAElnB,EAAE,CAAC,CAAC,MAAMY,EAAE,CAAC,OAAO,KAAK,MAAM,aAAa,OAAOA,EAAE,QAAQ,KAAK,MAAM,YAAY,GAAG,KAAK,MAAM,YAAY,MAAM,KAAKA,CAAC,GAAGA,CAAC,CAAC,IAAI,qBAAqB,CAAC,OAAO,KAAK,MAAM,mBAAmB,CAAC,OAAO,CAAC,KAAK,uBAAuB,KAAK,MAAM,QAAQ,EAAE,KAAK,IAAI,MAAM,EAAE,KAAK,MAAM,IAAIiqB,GAAG,QAAQjqB,KAAK,KAAK,SAAS,KAAK,yBAAyBA,CAAC,EAAE,KAAK,SAASA,GAAG,QAAQ,EAAE,OAAO,KAAK,SAASA,GAAG,KAAK,YAAY,KAAK,KAAK,gBAAgB,KAAK,KAAK,mBAAmB,IAAI,CAAC,EAAEkqB,GAAG,aAAa,EAAEA,GAAG,eAAe,EAAE,SAASE,GAAGlrB,EAAE,CAAC,IAAI,EAAE+Z,GAAG3B,GAAGpY,CAAC,EAAE,SAAS,EAAE,OAAOirB,EAAE,WAAW,EAAEjrB,EAAE,SAAS,CAAC,CAAC,SAASorB,IAAI,CAAC,IAAIprB,EAAE+a,GAAG,EAAE,GAAG/a,EAAE,WAAW,KAAK,CAAC,IAAI,EAAE,IAAIua,GAAGva,CAAC,EAAEA,EAAE,UAAU,IAAIgrB,GAAG,CAAC,CAAC,CAAC,OAAOnQ,GAAG7a,EAAE,UAAU,GAAG,EAAEypB,GAAG,IAAIzpB,EAAE,SAAS,EAAEA,EAAE,SAAS,CAAC,IAAIirB,EAAEG,GAAG,EAAE,SAASD,GAAGnrB,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEF,EAAE,EAAE,CAAC,EAAE,OAAOirB,EAAE,UAAU5P,GAAGnb,CAAC,CAAC,CAAC,IAAImrB,GAAG,CAAC,EAAEjrB,GAAGirB,GAAG,CAAC,UAAU,IAAIC,GAAG,SAAS,IAAIC,GAAG,aAAa,IAAIC,EAAE,CAAC,EAAE,SAASC,IAAI,CAAC,OAAO,OAAO,WAAW,aAAa,WAAW,IAAI,CAAC,IAAIC,GAAG,SAASF,GAAGxrB,EAAE,CAAC0rB,GAAG1rB,CAAC,CAAC,SAASurB,GAAGvrB,EAAE,CAAC,GAAG0rB,KAAK,OAAO,OAAOA,GAAG,GAAG1rB,GAAGyrB,GAAG,EAAE,CAAC,GAAGzrB,IAAIA,EAAE,WAAWA,EAAE,UAAU,cAAc,MAAM,GAAG,IAAI,EAAEA,EAAE,WAAWA,EAAE,SAAS,OAAO,QAAQ,YAAY,OAAO,MAAM,IAAI,GAAG,CAAC,EAAE,CAAC,IAAIE,EAAEF,EAAE,OAAOE,EAAE,eAAeA,EAAE,cAAc,MAAM,CAAC,MAAM,2TAA2T,KAAK,CAAC,GAAG,0kDAA0kD,KAAK,EAAE,OAAO,EAAE,CAAC,CAAC,CAAC,CAAC,MAAM,EAAE,CAAC,SAASorB,IAAI,CAAC,OAAO,OAAO,QAAQ,aAAa,OAAO,UAAU,MAAM,OAAO,mBAAmB,WAAW,CAAC,IAAIK,GAAGlR,EAAE,EAAEkR,GAAG,aAAa,QAAQ,IAAI,GAAG3rB,GAAG,CAACA,GAAG,QAAQ,KAAK,6IAA6I,CAAC,CAAC,EAAE2rB,GAAG,aAAa,aAAa,IAAIL,GAAG,CAAC,EAAEK,GAAG,aAAa,UAAU,IAAI,OAAO,SAAS,aAAa,OAAO,QAAQ,UAAU,aAAa,OAAO,QAAQ,SAAS,MAAM,WAAW,EAAEA,GAAG,aAAa,YAAY,IAAI,OAAO,WAAW,aAAa,WAAW,MAAM,UAAU,WAAW,MAAM,SAAS,KAAK,UAAU,SAAS,GAAG,aAAa,KAAK,UAAU,MAAM,CAAC,EAAEA,GAAG,aAAa,OAAO,IAAI,EAAE,EAAEA,GAAG,aAAa,qCAAqC,IAAIA,GAAG,QAAQ,OAAO,CAAC,EAAEA,GAAG,aAAa,+BAA+B,IAAI,EAAE,EAAEA,GAAG,aAAa,UAAU,IAAI,EAAE,EAAEA,GAAG,aAAa,+BAA+B,IAAI,EAAE,EAAEA,GAAG,aAAa,sBAAsB,IAAI,EAAE,EAAEA,GAAG,aAAa,sBAAsB,IAAI,EAAE,EAAEA,GAAG,aAAa,wCAAwC,IAAI,EAAE,EAAEA,GAAG,aAAa,uBAAuB,IAAI,EAAE,EAAE,SAASC,GAAG5rB,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,GAAGmY,GAAGnY,CAAC,EAAE,OAAO,IAAI,SAAS,CAAC,EAAE,CAACA,EAAE,MAAM,EAAE,GAAG,CAAC,MAAM,QAAQA,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIM,EAAE,CAAC,EAAE,KAAK,MAAM,QAAQJ,CAAC,GAAGiY,GAAGjY,CAAC,GAAG,IAAI,UAAUI,EAAE,KAAKJ,EAAE,MAAM,EAAEA,EAAEA,EAAE,GAAG,OAAO,MAAM,QAAQF,CAAC,GAAGya,EAAE,EAAE,QAAQ,oCAAoC,GAAGoR,GAAG7rB,EAAEM,EAAE,CAAC,CAAC,EAAEA,CAAC,CAAC,SAASurB,GAAG7rB,EAAE,EAAEE,EAAE,CAAC,GAAGA,EAAEA,GAAG,CAAC,EAAE,CAAC,MAAM,QAAQF,CAAC,GAAG,CAACmY,GAAGnY,CAAC,EAAE,CAAC8X,EAAE,EAAE,SAAS,EAAE,IAAI,eAAe5X,EAAE,KAAK,IAAI,2DAA2D,EAAE,aAAa,EAAE,MAAM,CAAC4X,EAAE,EAAE,OAAO,EAAE,IAAI,eAAe5X,EAAE,KAAK,IAAI,gDAAgDF,EAAE,iBAAiB,EAAE8X,EAAE9X,EAAE,SAAS,EAAE,GAAG,IAAI,eAAeE,EAAE,KAAK,IAAI,kBAAkB,EAAE,wBAAwBF,EAAE,iBAAiB,EAAE,IAAIM,EAAE,EAAE,MAAM,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEP,EAAE,OAAO,EAAEO,EAAEsrB,GAAG7rB,EAAEO,GAAGD,EAAEJ,EAAE,OAAOK,CAAC,CAAC,CAAC,CAAC,SAASurB,GAAG9rB,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAGN,IAAI,oBAAoB,CAAC,GAAGA,GAAG,KAAK,MAAM,IAAI,MAAM,gCAAgC,EAAE,GAAGA,IAAI,WAAWA,IAAI,GAAGA,IAAI,WAAW,IAAI,SAAS,MAAM,IAAI,MAAM,aAAaE,iBAAiBI,cAAcN,qBAAqB,UAAU,CAAC,CAAC,CAAC,SAAS+rB,EAAE/rB,EAAE,EAAEE,EAAEI,EAAE,UAAU,CAAC,GAAGN,aAAa4pB,GAAG,OAAOkC,GAAGxrB,EAAEN,EAAE,MAAM,EAAEE,CAAC,EAAEF,EAAE,IAAIO,EAAEkZ,GAAGzZ,CAAC,EAAE,GAAGO,IAAI,UAAU,CAAC,OAAO,QAAQ,SAAS,EAAE,QAAQD,CAAC,GAAG,IAAIC,EAAED,GAAGwrB,GAAGxrB,EAAEC,EAAE,EAAEL,CAAC,EAAEF,GAAG,MAAM,CAACmY,GAAGnY,CAAC,GAAG,CAAC,MAAM,QAAQA,CAAC,GAAG,OAAOA,GAAG,UAAU,OAAOA,GAAG,WAAW,OAAOA,GAAG,SAAS,CAAC,IAAIkC,EAAElC,GAAG,KAAK,OAAOA,EAAE,YAAY,KAAK,MAAM,IAAI,MAAM,aAAa,iBAAiBE,+CAA+CgC,IAAI,CAAC,CAAC,IAAI,EAAE0pB,GAAG5rB,EAAEO,CAAC,EAAE,CAAC4X,GAAGnY,CAAC,GAAG,CAAC,MAAM,QAAQA,CAAC,IAAIA,EAAE,CAACA,CAAC,GAAG,IAAIiC,EAAE1B,IAAI,SAAS8mB,GAAGrnB,EAAEO,CAAC,EAAE2X,GAAGlY,EAAE,CAAC,EAAE,EAAE,EAAE,OAAOirB,EAAE,WAAWhpB,EAAE,EAAE1B,CAAC,CAAC,CAAC,SAASyrB,GAAGhsB,EAAE,EAAEE,EAAEI,EAAE,UAAU,CAAC,GAAG,CAAC,MAAM,QAAQN,CAAC,EAAE,MAAM,IAAI,MAAM,YAAY,eAAeE,8CAA8C,EAAE,OAAOF,EAAE,IAAI,CAAC+B,EAAEC,IAAI+pB,EAAEhqB,EAAE,GAAG,KAAKC,KAAK9B,EAAEI,CAAC,CAAC,CAAC,CAAC,IAAI2rB,GAAG,OAAO,SAASC,EAAElsB,EAAE,CAAC,IAAI,EAAE,OAAO,KAAKA,CAAC,EAAE,GAAG,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,yGAAyG,EAAE,cAAc,EAAE,IAAIE,EAAE,EAAE,GAAGI,EAAEN,EAAEE,GAAGA,EAAE,SAAS,GAAG,IAAIA,EAAEA,EAAE,UAAU,EAAEA,EAAE,OAAO,CAAC,GAAGA,EAAEA,EAAE+rB,GAAG,IAAI1rB,EAAE,IAAI,IAAI,CAAC0qB,EAAE,WAAW/qB,CAAC,EAAE,GAAG,CAAC,IAAI,EAAEI,EAAE,GAAG,CAAC,EAAE,OAAO+Z,GAAG,CAAC,GAAG,QAAQ,MAAM,yCAAyC,EAAE4Q,EAAE,SAAS,CAAC,EAAE,CAAC,OAAO,EAAN,CAAS,MAAMA,EAAE,SAAS,IAAI,EAAE,CAAC,CAAC,EAAE,OAAO,OAAO,eAAe1qB,EAAE,OAAO,CAAC,MAAML,EAAE,aAAa,EAAE,CAAC,EAAEK,CAAC,CAAC,SAAS4rB,GAAGnsB,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,OAAO,SAAS,EAAEM,EAAEyrB,EAAE,EAAE,OAAO,SAAS,EAAEhU,GAAG7X,EAAE,MAAMI,EAAE,MAAM,yBAAyBJ,EAAE,aAAaI,EAAE,4CAA4C,EAAE,IAAIC,EAAE,CAAC,KAAKL,EAAE,KAAKI,CAAC,EAAE,OAAO2qB,EAAE,UAAUrO,GAAGrc,CAAC,CAAC,CAAC,IAAI6rB,GAAGF,EAAE,CAAC,SAASC,EAAE,CAAC,EAAE,SAASE,GAAGrsB,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAGA,GAAG,OAAOA,EAAEmZ,GAAGzZ,CAAC,GAAGM,IAAI,YAAY,MAAM,IAAI,MAAM,kFAAkF,EAAE,GAAG,CAAC6X,GAAGnY,CAAC,GAAG,CAAC,MAAM,QAAQA,CAAC,GAAG,OAAOA,GAAG,UAAU,OAAOA,GAAG,WAAW,OAAOA,GAAG,SAAS,MAAM,IAAI,MAAM,0HAA0H,EAAE,GAAG,GAAG,KAAK,CAACka,GAAG,CAAC,EAAE,IAAI3Z,EAAE6X,GAAG,CAAC,EAAE,EAAEA,GAAGlY,CAAC,EAAE4X,EAAEvX,IAAI,EAAE,IAAI,iCAAiC,8BAA8BA,oBAAoB,GAAG,EAAE,QAAQ,EAAE,EAAE,EAAEL,EAAE,OAAO,EAAE,EAAE,CAAC,IAAI+B,EAAE/B,EAAE,GAAGgC,EAAE,IAAIhC,EAAE,OAAO,EAAE+B,IAAImW,GAAG,EAAE,MAAM,CAAC,CAAC,EAAE,GAAGN,EAAE5X,EAAE,KAAK,EAAE,IAAI,CAACgC,EAAE,IAAI,gDAAgDhC,yCAAyC,MAAM,CAAC,CAAC,CAAC,MAAM,CAACiY,GAAGnY,CAAC,GAAG,CAAC,MAAM,QAAQA,CAAC,IAAIA,EAAE,CAACA,CAAC,GAAG,EAAE,GAAGE,EAAEF,EAAEM,IAAI,SAAS+mB,GAAGrnB,EAAEM,CAAC,EAAE4X,GAAGlY,EAAE,CAAC,EAAE,EAAE,EAAEirB,EAAE,WAAWjrB,EAAE,EAAEM,CAAC,CAAC,CAAC,SAASgsB,GAAGtsB,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEsrB,GAAG5rB,EAAEE,CAAC,EAAE,OAAOmsB,GAAGrsB,EAAE,EAAEM,EAAEJ,CAAC,CAAC,CAAC,IAAIqsB,GAAG,CAAC,QAAQ,EAAE,QAAQ,EAAE,MAAM,EAAE,OAAO,EAAE,MAAM,EAAE,KAAK,EAAE,UAAU,CAAC,EAAMC,GAAG,EAAE,eAAeC,GAAGzsB,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEI,EAAE,CAAC,EAAEC,EAAE,MAAM,QAAQP,CAAC,EAAEA,EAAE,IAAI,GAAG,EAAE,IAAI,EAAE,OAAO,KAAKA,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEO,EAAE,OAAO,EAAE,EAAE,CAAC,IAAI0B,EAAE1B,EAAE,GAAG2B,EAAE,MAAM,QAAQlC,CAAC,EAAEA,EAAE,GAAG,OAAOA,EAAEiC,GAAG,GAAGC,EAAE,QAAQ,WAAWA,EAAE,QAAQ,SAASA,EAAE,QAAQ,QAAQA,EAAE,QAAQ,UAAUA,EAAE,QAAQ,YAAY,MAAM,IAAI,MAAM,gCAAgCD,OAAOC,EAAE,OAAO,EAAE,IAAIC,EAAE,CAAC,KAAKF,EAAE,MAAMC,EAAE,MAAM,MAAMA,EAAE,KAAK,EAAE,GAAGA,EAAE,QAAQ,SAAS,CAAC,IAAIU,EAAE,IAAI,QAAQ,MAAMC,GAAG,CAAC,IAAIC,EAAE,MAAMZ,EAAE,MAAM,EAAEa,EAAED,EAAE,OAAO,CAAC,EAAEyE,IAAI,EAAEA,EAAE,OAAO,CAAC,EAAEilB,GAAG1pB,EAAE,OAAOE,EAAE,IAAI,WAAWD,CAAC,EAAEmB,EAAE,EAAE,QAAQ,EAAE,EAAE,EAAEpB,EAAE,OAAO,IAAI,CAAC,IAAIyE,EAAEzE,EAAE,GAAGiC,EAAE,IAAI,WAAW,IAAI,YAAY,CAACwC,EAAE,MAAM,CAAC,EAAE,MAAM,EAAEvE,EAAE,IAAI+B,EAAEb,CAAC,EAAEA,GAAGsoB,GAAGxpB,EAAE,IAAIuE,EAAErD,CAAC,EAAEA,GAAGqD,EAAE,MAAM,CAAC1E,EAAEG,CAAC,CAAC,CAAC,EAAE1C,EAAE,KAAKsC,CAAC,CAAC,MAAMtC,EAAE,KAAK4B,EAAE,KAAK,CAAC,EAAE,GAAG,OAAOC,EAAE,MAAM,GAAGjC,EAAE,KAAKiC,CAAC,CAAC,CAAC,IAAI,EAAE,MAAM,QAAQ,IAAI7B,CAAC,EAAE,MAAM,CAAC,KAAKosB,GAAG,CAAC,EAAE,MAAMxsB,CAAC,CAAC,CAAC,SAASysB,GAAG3sB,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEI,EAAEC,EAAE,EAAE,QAAQ,KAAK,EAAE,CAAC,IAAI,EAAE,EAAE,KAAK0B,EAAE,EAAE,MAAMC,EAAE,EAAE,MAAMC,EAAEiW,GAAGlW,CAAC,EAAEU,EAAE,GAAG,iBAAiB,EAAE,CAAC,IAAIC,EAAE,EAAE,aAAa,GAAGA,EAAE,QAAQ,SAASA,EAAE,QAAQ,UAAU,GAAG,EAAE,QAAQA,GAAG,UAAUA,GAAG,MAAM,IAAI,MAAM,UAAU,EAAE,0BAA0BA,EAAE,0DAA0D,UAAUA,EAAE,QAAQ,WAAW,GAAGZ,IAAI,UAAU,MAAM,IAAI,MAAM,UAAU,EAAE,0BAA0BY,EAAE,yDAAyDZ,IAAI,MAAO,OAAM,IAAI,MAAM,UAAU,EAAE,uCAAuCY,EAAE,6EAA6E,EAAE,IAAIC,EAAEypB,GAAG1pB,EAAE,OAAOE,EAAE/C,EAAE,MAAMO,EAAEA,EAAE4B,EAAEW,CAAC,EAAEE,EAAEH,EAAE,QAAQ,QAAQ,IAAI,WAAWE,CAAC,EAAE,IAAI,YAAYA,CAAC,EAAE,GAAGd,IAAI,UAAU,GAAGY,EAAE,QAAQ,SAASA,EAAE,QAAQ,SAAS,CAACD,EAAE,IAAI,aAAaI,EAAE,MAAM,EAAE,QAAQkB,EAAE,EAAEA,EAAElB,EAAE,OAAOkB,IAAI,CAAC,IAAI,EAAElB,EAAEkB,GAAGtB,EAAEsB,GAAG,EAAErB,EAAE,MAAMA,EAAE,GAAG,CAAC,SAASA,EAAE,QAAQ,UAAUvC,IAAI,SAASA,EAAEssB,GAAG,GAAGhqB,EAAEtC,EAAE0C,CAAC,MAAO,OAAM,IAAI,MAAM,iCAAiCH,EAAE,gCAAgC,UAAUZ,IAAI,QAAQ,CAAC,GAAGY,EAAE,QAAQ,SAASA,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,iCAAiCA,EAAE,8BAA8B,EAAED,EAAE,IAAI,WAAWI,EAAE,MAAM,EAAE,QAAQkB,EAAE,EAAEA,EAAElB,EAAE,OAAOkB,IAAI,CAAC,IAAI,EAAElB,EAAEkB,GAAGtB,EAAEsB,GAAG,KAAK,MAAM,EAAErB,EAAE,MAAMA,EAAE,GAAG,CAAC,CAAC,KAAM,OAAM,IAAI,MAAM,gCAAgC,OAAOZ,GAAG,EAAE1B,GAAG4B,EAAEW,CAAC,SAASb,IAAI,SAAS,CAAC,IAAIY,EAAEuV,GAAG,EAAE,KAAK,EAAExV,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAED,EAAEC,IAAI,CAAC,IAAIC,EAAE,IAAI,YAAY/C,EAAE,MAAMO,EAAEA,EAAEisB,EAAE,CAAC,EAAE,GAAGjsB,GAAGisB,GAAG,IAAIxpB,EAAE,IAAI,WAAWhD,EAAE,MAAMO,EAAEA,EAAEwC,CAAC,CAAC,EAAEH,EAAE,KAAKI,CAAC,EAAEzC,GAAGwC,CAAC,CAAC,KAAK,CAAC,IAAIF,EAAE0pB,GAAGtqB,GAAGa,EAAE9C,EAAE,MAAMO,EAAEA,EAAE4B,EAAEU,CAAC,EAAE,GAAGZ,IAAI,UAAUW,EAAE,IAAI,aAAaE,CAAC,UAAUb,IAAI,QAAQW,EAAE,IAAI,WAAWE,CAAC,UAAUb,IAAI,OAAOW,EAAE,IAAI,WAAWE,CAAC,UAAUb,IAAI,YAAY,CAACW,EAAE,IAAI,aAAaE,CAAC,EAAE,IAAIC,EAAE,IAAI,aAAaH,EAAE,OAAO,CAAC,EAAEI,EAAE,IAAI,aAAaJ,EAAE,OAAO,CAAC,EAAE,QAAQ2E,EAAE,EAAEA,EAAExE,EAAE,OAAOwE,IAAIxE,EAAEwE,GAAG3E,EAAE2E,EAAE,GAAGvE,EAAEuE,GAAG3E,EAAE2E,EAAE,EAAE,GAAG,IAAIrD,EAAEooB,GAAGvpB,EAAEb,EAAE,SAAS,EAAE,EAAEoqB,GAAGtpB,EAAEd,EAAE,SAAS,EAAEhC,EAAE,GAAGksB,GAAGloB,EAAE,CAAC,EAAEA,EAAE,QAAQ,EAAE,EAAE,QAAQ,CAAC,KAAM,OAAM,IAAI,MAAM,gCAAgC,OAAOjC,GAAG,EAAE1B,GAAG4B,EAAEU,CAAC,CAACZ,IAAI,cAAc/B,EAAE,GAAGosB,GAAG1pB,EAAEV,EAAED,CAAC,EAAE,CAAC,OAAO/B,CAAC,CAAC,SAASwsB,GAAG1sB,EAAE,CAAC,GAAGA,IAAI,KAAK,MAAM,IAAI,MAAM,wBAAwB,KAAK,UAAUA,CAAC,GAAG,EAAE,IAAI,EAAE,EAAEE,EAAE,CAAC,EAAEF,EAAE,QAAQ,GAAG,CAAC,GAAG,GAAG,EAAE,WAAWE,EAAE,KAAK,EAAE,aAAa,EAAE,OAAO,WAAW,EAAE,IAAI,EAAE,YAAY,CAAC,CAAC,EAAE,EAAE,aAAa,cAAc,aAAa,YAAY,aAAa,YAAY,MAAM,IAAI,MAAM,mCAAmC,EAAE,YAAY,MAAM,CAAC,CAAC,EAAE,IAAII,EAAE,IAAI,WAAW,CAAC,EAAEC,EAAE,EAAE,OAAOL,EAAE,QAAQ,GAAG,CAACI,EAAE,IAAI,IAAI,WAAW,EAAE,MAAM,EAAEC,CAAC,EAAEA,GAAG,EAAE,UAAU,CAAC,EAAED,EAAE,MAAM,CAAC,IAAIusB,GAAG,OAAO,QAAQ,cAAc,OAAO,MAAM,aAAa,OAAO,MAAM,aAAa,OAAO,MAAM,aAAa,SAASC,GAAG9sB,EAAE,CAAC,OAAO6sB,GAAG,OAAO,WAAW7sB,CAAC,EAAE,IAAI,KAAK,CAACA,CAAC,CAAC,EAAE,IAAI,CAAC,SAAS+sB,GAAG/sB,EAAE,CAAC,GAAG6sB,GAAG,OAAO,OAAO,KAAK7sB,CAAC,EAAE,SAAS,QAAQ,EAAE,IAAI,EAAE,IAAI,WAAWA,CAAC,EAAEE,EAAE,GAAG,QAAQI,EAAE,EAAEC,EAAE,EAAE,OAAOD,EAAEC,EAAED,IAAIJ,GAAG,OAAO,aAAa,EAAEI,EAAE,EAAE,OAAO,KAAKJ,CAAC,CAAC,CAAC,SAAS8sB,GAAGhtB,EAAE,CAAC,GAAG6sB,GAAG,CAAC,IAAIvsB,EAAE,OAAO,KAAKN,EAAE,QAAQ,EAAE,OAAOM,EAAE,OAAO,MAAMA,EAAE,WAAWA,EAAE,WAAWA,EAAE,UAAU,CAAC,CAAC,IAAI,EAAE,KAAKN,CAAC,EAAEE,EAAE,IAAI,WAAW,EAAE,MAAM,EAAE,QAAQI,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAEJ,EAAE,IAAI,CAAC,EAAE,WAAWI,CAAC,CAAC,EAAEA,CAAC,EAAE,OAAOJ,EAAE,MAAM,CAAC,SAAS+sB,GAAGjtB,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAOA,EAAE,GAAG,IAAI,EAAE,EAAEA,EAAE,QAAQO,GAAG,CAAC,GAAGA,EAAE,UAAU,CAAC,EAAE,IAAIL,EAAE,IAAI,WAAW,CAAC,EAAEI,EAAE,EAAE,OAAON,EAAE,QAAQO,GAAG,CAACL,EAAE,IAAI,IAAI,WAAWK,CAAC,EAAED,CAAC,EAAEA,GAAGC,EAAE,UAAU,CAAC,EAAEL,EAAE,MAAM,CAAC,SAASgtB,GAAGltB,EAAE,CAAC,IAAI,EAAE,IAAI,IAAIA,EAAEA,EAAE,KAAK,EAAEA,EAAE,SAAS,CAAC,GAAGA,EAAEA,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,EAAE,IAAIE,EAAEF,EAAE,MAAM,CAAC,EAAE,OAAOE,EAAEA,EAAE,OAAO,EAAE,CAAC,SAASitB,GAAGntB,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,cAAcF,EAAE,cAAc,OAAOA,EAAE,OAAO,YAAYA,EAAE,YAAY,YAAYA,EAAE,YAAY,gBAAgB,CAAC,EAAE,OAAOA,EAAE,WAAW,OAAOE,EAAE,UAAUF,EAAE,WAAWA,EAAE,qBAAqB,OAAOE,EAAE,oBAAoBF,EAAE,qBAAqBA,EAAE,kBAAkB,OAAOE,EAAE,iBAAiBF,EAAE,kBAAkBA,EAAE,gBAAgB,OAAOE,EAAE,eAAeF,EAAE,gBAAgBE,CAAC,CAAC,SAASktB,GAAGptB,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,CAAC,cAAcN,EAAE,cAAc,OAAOA,EAAE,OAAO,YAAYA,EAAE,YAAY,YAAYA,EAAE,WAAW,EAAE,GAAGA,EAAE,gBAAgB,OAAOM,EAAE,eAAeN,EAAE,gBAAgBA,EAAE,iBAAiB,KAAK,CAAC,GAAG,CAAC,EAAE,MAAM,IAAI,MAAM,uDAAuD,EAAE,GAAG,CAACE,EAAE,MAAM,IAAI,MAAM,sDAAsD,EAAEI,EAAE,YAAY,EAAEA,EAAE,WAAWJ,CAAC,CAAC,OAAOF,EAAE,WAAW,OAAOM,EAAE,UAAUN,EAAE,WAAWA,EAAE,qBAAqB,OAAOM,EAAE,oBAAoBN,EAAE,qBAAqBA,EAAE,kBAAkB,OAAOM,EAAE,iBAAiBN,EAAE,kBAAkBM,CAAC,CAAC,eAAe+sB,GAAGrtB,EAAE,EAAE,CAAC,IAAIE,EAAEI,EAAE,OAAON,EAAE,iBAAiB,OAAO,CAACE,EAAEI,CAAC,EAAE,MAAM,EAAEN,EAAE,eAAe,GAAGotB,GAAGptB,EAAEE,EAAEI,CAAC,CAAC,CAAC,SAASgtB,GAAGttB,EAAE,CAAC,GAAGA,EAAE,yBAAyB,YAAY,MAAM,IAAI,MAAM,qDAAqD,EAAE,MAAM,CAAC,UAAU,IAAI,KAAK,kBAAkB,OAAO,mBAAmBA,EAAE,eAAe,KAAK,EAAE8sB,GAAG,KAAK,UAAU9sB,EAAE,aAAa,CAAC,EAAE,iBAAiBA,EAAE,aAAa,KAAK,EAAE8sB,GAAG,KAAK,UAAU9sB,EAAE,WAAW,CAAC,EAAE,gBAAgBA,EAAE,YAAY,KAAK,EAAEA,EAAE,WAAW,UAAU,CAAC,CAAC,SAASutB,GAAGvtB,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQE,KAAKF,EAAE,EAAE,KAAK,GAAGE,EAAE,OAAO,EAAE,OAAO,CAAC,CAAC,SAASstB,IAAI,CAAC,IAAIxtB,EAAEE,GAAG,CAAC,IAAII,EAAEJ,GAAG,GAAGK,EAAE,EAAE,MAAMD,EAAE,WAAW,GAAGC,GAAG,QAAQD,IAAI,EAAE,OAAOA,GAAG,SAASC,GAAG,UAAUD,EAAEC,CAAC,EAAE,EAAE,IAAI,YAAY,IAAI,EAAE,EAAE,GAAG,EAAE,QAAQL,EAAE,EAAEA,EAAE,KAAKA,IAAI,EAAEA,GAAGF,EAAEE,CAAC,EAAE,QAAQA,EAAE,KAAKA,EAAE,KAAKA,IAAI,EAAEA,GAAG,WAAWA,EAAE,MAAM,IAAI,OAAO,CAAC,CAAC,SAASutB,IAAI,CAAC,IAAIztB,EAAE,IAAI,YAAY,EAAE,EAAEA,EAAE,GAAG,EAAEA,EAAE,IAAI,WAAWA,EAAE,IAAI,WAAWA,EAAE,IAAI,WAAW,QAAQ,EAAE,EAAE,EAAE,GAAG,IAAIA,EAAE,GAAG,GAAG,GAAG,QAAQ,EAAE,GAAG,EAAE,GAAG,IAAIA,EAAE,GAAG,YAAY,EAAE,IAAI,IAAI,OAAOA,CAAC,CAAC,SAAS0tB,IAAI,CAAC,IAAI1tB,EAAE,IAAI,YAAY,EAAE,EAAE,QAAQ,EAAE,EAAE,EAAE,GAAG,IAAIA,EAAE,GAAG,KAAK,OAAOA,EAAE,GAAGA,EAAE,IAAI,EAAEA,CAAC,CAAC,SAAS4sB,IAAI,CAAC,IAAI5sB,EAAEwtB,GAAG,EAAE,EAAEC,GAAG,EAAEvtB,EAAEwtB,GAAG,EAAE,OAAOptB,GAAG,CAAC,IAAIC,EAAE,IAAI,YAAY,EAAED,EAAE,MAAM,EAAE,EAAE,IAAI,YAAYC,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAED,EAAE,OAAO,IAAI,CAAC,IAAI2B,EAAE3B,EAAE,GAAG4B,EAAElC,EAAEE,EAAE+B,GAAG,KAAKA,EAAE,OAAO,EAAEA,GAAG,IAAI,EAAE,GAAGC,CAAC,CAAC,OAAO,IAAI,aAAa3B,CAAC,CAAC,CAAC,CAAC,IAAIotB,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,YAAY,CAAC,EAAE,KAAK,YAAY,CAAC,CAAC,CAAC,OAAO,aAAa,CAAC,OAAOA,GAAG,UAAU,OAAOA,GAAG,SAAS,IAAIA,IAAIA,GAAG,QAAQ,CAAC,OAAO,mBAAmB7sB,EAAE,CAAC6sB,GAAG,YAAY,EAAE,YAAY,KAAK7sB,CAAC,CAAC,CAAC,OAAO,mBAAmBA,EAAE,CAAC6sB,GAAG,YAAY,EAAE,YAAY,KAAK7sB,CAAC,CAAC,CAAC,OAAO,gBAAgBA,EAAE,CAAC,OAAO6sB,GAAG,YAAY7sB,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgBA,EAAEZ,EAAE,CAAC,OAAOytB,GAAG,YAAY7sB,EAAE,OAAOZ,CAAC,CAAC,CAAC,OAAO,YAAYY,EAAEZ,EAAE,EAAE,CAAC,IAAIK,EAAE,CAAC,EAAE,OAAOL,IAAI,OAAOytB,GAAG,YAAY,EAAE,YAAYA,GAAG,YAAY,EAAE,aAAa,QAAQ3rB,GAAG,CAAC,IAAIC,EAAED,EAAElB,EAAE,CAAC,EAAEmB,IAAI,MAAM1B,EAAE,KAAK0B,CAAC,CAAC,CAAC,EAAE1B,CAAC,CAAC,EAAEqtB,GAAG5tB,GAAG2tB,GAAG,mBAAmB3tB,CAAC,EAAE6tB,GAAG7tB,GAAG2tB,GAAG,mBAAmB3tB,CAAC,EAAE8tB,GAAG9tB,GAAG2tB,GAAG,gBAAgB3tB,CAAC,EAAE+tB,GAAG,CAAC/tB,EAAE,IAAI2tB,GAAG,gBAAgB3tB,EAAE,CAAC,EAAMguB,GAAG,eAAeC,GAAG,EAAEC,GAAG,eAAeC,GAAG,mBAAmB,SAASC,IAAI,CAAC,GAAG,CAAC3T,EAAE,EAAE,QAAQ,YAAY,EAAE,MAAM,IAAI,MAAM,yFAAyF,EAAE,IAAIza,EAAE,OAAO,QAAQ,YAAY,KAAK,OAAO,EAAEA,EAAE,WAAWA,EAAE,cAAcA,EAAE,iBAAiBA,EAAE,aAAaA,EAAE,cAAc,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,2DAA2D,EAAE,OAAO,CAAC,CAAC,SAASquB,GAAGruB,EAAE,CAAC,IAAI,EAAEA,EAAE,OAAO,EAAE,kBAAkBkuB,GAAG,CAAC,QAAQ,WAAW,CAAC,EAAE,EAAE,kBAAkBC,GAAG,CAAC,QAAQ,WAAW,CAAC,CAAC,CAAC,IAAIG,GAAG,KAAK,CAAC,YAAYxtB,EAAE,CAAC,GAAG,KAAK,UAAUstB,GAAG,EAAEttB,GAAG,MAAM,CAACA,EAAE,MAAM,IAAI,MAAM,gEAAgE,EAAE,KAAK,UAAUA,CAAC,CAAC,MAAM,KAAKA,EAAE,CAAC,GAAGA,EAAE,yBAAyB,YAAY,MAAM,IAAI,MAAM,0FAA0F,EAAE,OAAO,KAAK,eAAe,KAAK,UAAUA,CAAC,CAAC,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,eAAe,KAAK,SAAS,CAAC,CAAC,eAAeA,EAAEZ,EAAE,CAAC,OAAO,IAAI,QAAQ,CAAC,EAAEK,IAAI,CAAC,IAAIwB,EAAE,KAAK,UAAU,KAAKisB,GAAGC,EAAE,EAAElsB,EAAE,gBAAgB,IAAIssB,GAAGtsB,CAAC,EAAEA,EAAE,UAAU,IAAI,CAAC,IAAIC,EAAED,EAAE,OAAO,GAAG7B,GAAG,KAAK,CAAC,IAAI+B,EAAED,EAAE,YAAYksB,GAAG,UAAU,EAAE/rB,EAAEF,EAAE,YAAYisB,EAAE,EAAE,IAAI,KAAK,SAAS,EAAE/rB,EAAE,UAAU,IAAI,CAAC,GAAGA,EAAE,QAAQ,KAAK,OAAOH,EAAE,MAAM,EAAEzB,EAAE,IAAI,MAAM,gCAAgC,KAAK,0BAA0B,CAAC,EAAE,EAAE4B,EAAE,OAAO,cAAc,CAAC,EAAEA,EAAE,QAAQS,IAAIZ,EAAE,MAAM,EAAEzB,EAAE4B,EAAE,KAAK,GAAGF,EAAE,WAAW,IAAID,EAAE,MAAM,CAAC,KAAK,CAAC,IAAIC,EAAEqrB,GAAGptB,CAAC,EAAEgC,EAAEF,EAAE,YAAYmsB,GAAG,WAAW,EAAE,EAAEjsB,EAAE,YAAYisB,EAAE,EAAEvrB,EAAE,EAAE,IAAI,CAAC,UAAU,KAAK,UAAU,mBAAmBX,CAAC,CAAC,EAAE,EAAEW,EAAE,UAAU,IAAI,CAAC,EAAEZ,EAAE,YAAYksB,GAAG,WAAW,EAAE,IAAInrB,EAAE,EAAE,YAAYmrB,EAAE,EAAE,IAAI,CAAC,UAAU,KAAK,UAAU,eAAehuB,EAAE,mBAAmB+B,CAAC,CAAC,EAAEc,EAAE,UAAU,IAAI,EAAE,CAAC,mBAAmBd,CAAC,CAAC,EAAEc,EAAE,QAAQC,GAAG,CAAC,EAAEd,EAAE,YAAYisB,EAAE,EAAE,IAAI,EAAE,EAAE,OAAO,KAAK,SAAS,EAAE,EAAE,UAAU,KAAKnsB,EAAE,MAAM,EAAEzB,EAAEwC,EAAE,KAAK,GAAG,EAAE,QAAQoB,IAAInC,EAAE,MAAM,EAAEzB,EAAEwC,EAAE,KAAK,EAAE,CAAC,EAAEH,EAAE,QAAQE,IAAId,EAAE,MAAM,EAAEzB,EAAEqC,EAAE,KAAK,GAAGV,EAAE,WAAW,IAAI,CAAC,GAAG,KAAKF,EAAE,MAAM,EAAE,EAAE,WAAW,IAAIA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAED,EAAE,QAAQC,GAAGzB,EAAEwB,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAEusB,GAAG,WAAW,eAAe,IAAIC,GAAGvuB,GAAGya,EAAE,EAAE,QAAQ,YAAY,GAAG,CAAC,MAAM,QAAQza,CAAC,GAAGA,EAAE,WAAWsuB,GAAG,UAAU,EAAEE,GAAGxuB,EAAE,MAAMsuB,GAAG,WAAW,MAAM,CAAC,EAAE,KAAKX,GAAG,mBAAmBY,EAAE,EAAEZ,GAAG,mBAAmBY,EAAE,EAAE,SAASC,GAAGxuB,EAAE,CAAC,OAAO,IAAIsuB,GAAGtuB,CAAC,CAAC,CAAC,SAASyuB,GAAGzuB,EAAE,CAAC,OAAOA,EAAE,WAAWsuB,GAAG,UAAU,EAAEtuB,EAAE,MAAMsuB,GAAG,WAAW,MAAM,EAAEtuB,CAAC,CAAC,IAAI0uB,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,UAAUN,GAAG,CAAC,CAAC,MAAM,YAAY,CAAC,OAAO,IAAI,QAAQ,CAACttB,EAAEZ,IAAI,CAAC,IAAI,EAAE,KAAK,UAAU,KAAK8tB,GAAGC,EAAE,EAAE,EAAE,gBAAgB,IAAII,GAAG,CAAC,EAAE,EAAE,UAAU,IAAI,CAAC,IAAI9tB,EAAE,EAAE,OAAOwB,EAAExB,EAAE,YAAY4tB,GAAG,UAAU,EAAElsB,EAAEF,EAAE,YAAYosB,EAAE,EAAE,OAAO,EAAElsB,EAAE,UAAU,IAAI,CAAC,IAAIC,EAAE,CAAC,EAAE,QAAQC,KAAKF,EAAE,OAAOC,EAAEC,EAAE,WAAWA,EAAE,mBAAmBrB,EAAEoB,CAAC,CAAC,EAAED,EAAE,QAAQC,IAAI3B,EAAE,MAAM,EAAEL,EAAE+B,EAAE,KAAK,GAAGF,EAAE,WAAW,IAAIxB,EAAE,MAAM,CAAC,EAAE,EAAE,QAAQA,GAAGL,EAAE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,MAAM,YAAYY,EAAE,CAAC,OAAOA,EAAE2tB,GAAG3tB,CAAC,EAAE,IAAI,QAAQ,CAACZ,EAAE,IAAI,CAAC,IAAIK,EAAE,KAAK,UAAU,KAAKytB,GAAGC,EAAE,EAAE1tB,EAAE,gBAAgB,IAAI8tB,GAAG9tB,CAAC,EAAEA,EAAE,UAAU,IAAI,CAAC,IAAIwB,EAAExB,EAAE,OAAOyB,EAAED,EAAE,YAAYosB,GAAG,WAAW,EAAElsB,EAAED,EAAE,YAAYmsB,EAAE,EAAEjsB,EAAED,EAAE,IAAInB,CAAC,EAAE,EAAEoB,EAAE,UAAU,IAAI,CAAC,GAAGA,EAAE,QAAQ,KAAK,OAAOH,EAAE,MAAM,EAAE,EAAE,IAAI,MAAM,gCAAgCjB,kBAAkB,CAAC,EAAE,CAAC,IAAI8B,EAAEX,EAAE,OAAOnB,CAAC,EAAE,EAAE,IAAI,CAAC,EAAEiB,EAAE,YAAYmsB,GAAG,WAAW,EAAE,IAAInrB,EAAE,EAAE,YAAYmrB,EAAE,EAAE,OAAOptB,CAAC,EAAEiC,EAAE,UAAU,IAAI7C,EAAEgC,EAAE,OAAO,kBAAkB,EAAEa,EAAE,QAAQC,GAAG,EAAEd,EAAE,KAAK,CAAC,EAAEU,EAAE,UAAU,EAAEA,EAAE,QAAQE,IAAI,EAAE,EAAEf,EAAE,MAAM,EAAE,EAAEG,EAAE,KAAK,EAAE,CAAC,EAAEA,EAAE,QAAQU,IAAIb,EAAE,MAAM,EAAE,EAAEG,EAAE,KAAK,GAAGF,EAAE,WAAW,IAAI,CAAC,GAAG,KAAKD,EAAE,MAAM,EAAE,EAAE,WAAW,IAAIA,EAAE,MAAM,CAAC,CAAC,EAAExB,EAAE,QAAQwB,GAAG,EAAExB,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAMouB,GAAG,IAAIC,GAAG,sBAAsBC,GAAG,OAAOC,GAAG,iBAAiBC,GAAG,eAAeC,GAAG,cAAcC,GAAG,iBAAiB,SAASC,GAAGlvB,EAAE,CAAC,MAAM,CAAC,KAAK,CAAC4uB,GAAG5uB,EAAE6uB,EAAE,EAAE,KAAKF,EAAE,EAAE,SAAS,CAACC,GAAG5uB,EAAE8uB,EAAE,EAAE,KAAKH,EAAE,EAAE,YAAY,CAACC,GAAG5uB,EAAE+uB,EAAE,EAAE,KAAKJ,EAAE,EAAE,WAAW,CAACC,GAAG5uB,EAAEgvB,EAAE,EAAE,KAAKL,EAAE,EAAE,cAAc,CAACC,GAAG5uB,EAAEivB,EAAE,EAAE,KAAKN,EAAE,CAAC,CAAC,CAAC,SAASQ,GAAGnvB,EAAE,CAAC,QAAQ,KAAK,OAAO,OAAOA,CAAC,EAAE,OAAO,aAAa,WAAW,CAAC,CAAC,CAAC,SAASovB,GAAGpvB,EAAE,CAAC,IAAI,EAAEA,EAAE,MAAM2uB,EAAE,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,uBAAuB3uB,GAAG,EAAE,OAAO,EAAE,MAAM,EAAE,EAAE,OAAO,CAAC,EAAE,KAAK2uB,EAAE,CAAC,CAAC,SAASU,GAAGrvB,EAAE,CAAC,OAAOA,EAAE,WAAWsvB,GAAG,UAAU,EAAEtvB,EAAE,MAAMsvB,GAAG,WAAW,MAAM,EAAEtvB,CAAC,CAAC,IAAIsvB,GAAG,KAAK,CAAC,YAAYxuB,EAAE,CAAC,GAAG,CAAC2Z,EAAE,EAAE,QAAQ,YAAY,GAAG,OAAO,QAAQ,aAAa,OAAO,OAAO,cAAc,YAAY,MAAM,IAAI,MAAM,yDAAyD,EAAE,GAAG,KAAK,GAAG,OAAO,aAAa3Z,GAAG,MAAM,CAACA,EAAE,MAAM,IAAI,MAAM,oEAAoE,EAAE,KAAK,UAAUA,EAAE,KAAK,KAAKouB,GAAG,KAAK,SAAS,CAAC,CAAC,MAAM,KAAKpuB,EAAE,CAAC,GAAGA,EAAE,yBAAyB,YAAY,MAAM,IAAI,MAAM,0FAA0F,EAAE,CAAC,IAAIZ,EAAE,KAAK,UAAUY,EAAE,aAAa,EAAE,EAAE,KAAK,UAAUA,EAAE,WAAW,EAAEP,EAAE+sB,GAAGxsB,CAAC,EAAE,GAAG,CAAC,KAAK,GAAG,QAAQ,KAAK,KAAK,KAAK,KAAK,UAAUP,CAAC,CAAC,EAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,SAASL,CAAC,EAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,YAAY,CAAC,EAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,WAAW6sB,GAAGjsB,EAAE,UAAU,CAAC,EAAE,IAAIiB,EAAE,CAAC,OAAOjB,EAAE,OAAO,YAAYA,EAAE,YAAY,YAAYA,EAAE,YAAY,UAAUA,EAAE,WAAW,KAAKA,EAAE,UAAU,OAAO,oBAAoBA,EAAE,qBAAqB,KAAKA,EAAE,oBAAoB,OAAO,iBAAiBA,EAAE,kBAAkB,KAAKA,EAAE,iBAAiB,OAAO,eAAeA,EAAE,gBAAgB,KAAKA,EAAE,eAAe,MAAM,EAAE,OAAO,KAAK,GAAG,QAAQ,KAAK,KAAK,cAAc,KAAK,UAAUiB,CAAC,CAAC,EAAE,CAAC,mBAAmBxB,CAAC,CAAC,OAAOwB,EAAN,CAAS,MAAMotB,GAAG,KAAK,IAAI,EAAE,IAAI,MAAM,yBAAyB,KAAK,kHAAkH5uB,EAAE,wCAAwCA,EAAE,qCAAqCA,EAAE,kBAAkB,CAAC,CAAC,CAAC,CAAC,MAAM,MAAM,CAAC,IAAIO,EAAE,KAAK,MAAM,KAAK,GAAG,QAAQ,KAAK,KAAK,IAAI,CAAC,EAAE,GAAGA,GAAG,KAAK,MAAM,IAAI,MAAM,kDAAkD,KAAK,YAAY,EAAE,GAAGA,EAAE,oBAAoB,OAAO,MAAM,IAAI,MAAM,2EAA2E,EAAE,IAAIZ,EAAE,CAAC,EAAE,EAAE,KAAK,MAAM,KAAK,GAAG,QAAQ,KAAK,KAAK,QAAQ,CAAC,EAAE,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,4CAA4C,KAAK,wBAAwB,EAAEA,EAAE,cAAc,EAAE,IAAIK,EAAE,KAAK,MAAM,KAAK,GAAG,QAAQ,KAAK,KAAK,WAAW,CAAC,EAAE,GAAGA,GAAG,KAAK,MAAM,IAAI,MAAM,gDAAgD,KAAK,yBAAyB,EAAEL,EAAE,YAAYK,EAAE,IAAIwB,EAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,aAAa,EAAE,GAAGA,GAAG,KAAK,CAAC,IAAIE,EAAE,KAAK,MAAMF,CAAC,EAAE7B,EAAE,OAAO+B,EAAE,OAAO/B,EAAE,YAAY+B,EAAE,YAAY/B,EAAE,YAAY+B,EAAE,YAAYA,EAAE,WAAW,OAAO/B,EAAE,UAAU+B,EAAE,WAAWA,EAAE,qBAAqB,OAAO/B,EAAE,oBAAoB+B,EAAE,qBAAqBA,EAAE,kBAAkB,OAAO/B,EAAE,iBAAiB+B,EAAE,kBAAkBA,EAAE,gBAAgB,OAAO/B,EAAE,eAAe+B,EAAE,eAAe,CAAC,IAAID,EAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,UAAU,EAAE,GAAGA,GAAG,KAAK,MAAM,IAAI,MAAM,wDAAwD,KAAK,yBAAyB,EAAE,OAAO9B,EAAE,WAAW8sB,GAAGhrB,CAAC,EAAE9B,CAAC,CAAC,EAAEovB,GAAG,WAAW,kBAAkB,IAAIC,GAAGvvB,GAAGya,EAAE,EAAE,QAAQ,YAAY,GAAG,CAAC,MAAM,QAAQza,CAAC,GAAGA,EAAE,WAAWsvB,GAAG,UAAU,EAAEE,GAAGxvB,EAAE,MAAMsvB,GAAG,WAAW,MAAM,CAAC,EAAE,KAAK3B,GAAG,mBAAmB4B,EAAE,EAAE5B,GAAG,mBAAmB4B,EAAE,EAAE,SAASC,GAAGxvB,EAAE,CAAC,OAAO,IAAIsvB,GAAGtvB,CAAC,CAAC,CAAC,IAAIyvB,GAAG,KAAK,CAAC,aAAa,CAAC3X,EAAE2C,EAAE,EAAE,QAAQ,YAAY,EAAE,IAAI,0CAA0C,EAAE3C,EAAE,OAAO,QAAQ,aAAa,OAAO,OAAO,cAAc,YAAY,IAAI,yDAAyD,EAAE,KAAK,GAAG,OAAO,YAAY,CAAC,MAAM,YAAY,CAAC,IAAIhX,EAAE,CAAC,EAAEZ,EAAE0uB,GAAGD,GAAG,EAAEA,GAAGE,GAAG,QAAQtuB,EAAE,EAAEA,EAAE,KAAK,GAAG,OAAO,EAAEA,EAAE,CAAC,IAAIwB,EAAE,KAAK,GAAG,IAAIxB,CAAC,EAAE,GAAGwB,EAAE,WAAW7B,CAAC,GAAG6B,EAAE,SAAS,CAAC,EAAE,CAAC,IAAIC,EAAEotB,GAAGrtB,CAAC,EAAEjB,EAAEkB,GAAG,KAAK,MAAM,KAAK,GAAG,QAAQD,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOjB,CAAC,CAAC,MAAM,YAAYA,EAAE,CAACA,EAAEuuB,GAAGvuB,CAAC,EAAE,IAAIZ,EAAEgvB,GAAGpuB,CAAC,EAAE,GAAG,KAAK,GAAG,QAAQZ,EAAE,IAAI,GAAG,KAAK,MAAM,IAAI,MAAM,8BAA8BY,IAAI,EAAE,IAAI,EAAE,KAAK,MAAM,KAAK,GAAG,QAAQZ,EAAE,IAAI,CAAC,EAAE,OAAOivB,GAAGjvB,CAAC,EAAE,CAAC,CAAC,EAAMwvB,GAAG,MAAMC,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,SAAS,CAAC,CAAC,CAAC,OAAO,aAAa,CAAC,OAAOA,GAAG,UAAU,OAAOA,GAAG,SAAS,IAAIA,IAAIA,GAAG,QAAQ,CAAC,OAAO,gBAAgB7uB,EAAEZ,EAAE,CAAC4X,EAAEhX,GAAG,KAAK,IAAI,uCAAuC,EAAEA,EAAE,SAAS4uB,EAAE,IAAI5uB,EAAEA,EAAE,MAAM,EAAEA,EAAE,QAAQ4uB,EAAE,CAAC,GAAG5X,EAAEhX,EAAE,OAAO,EAAE,IAAI,qCAAqC,EAAE,IAAI,EAAE6uB,GAAG,YAAY,EAAE7X,EAAE,EAAE,SAAShX,IAAI,KAAK,IAAI,2DAA2DA,KAAK,EAAE,EAAE,SAASA,GAAGZ,CAAC,CAAC,OAAO,WAAWY,EAAE,CAAC,IAAIZ,EAAEyvB,GAAG,YAAY,EAAE,SAAS7uB,GAAG,GAAGZ,GAAG,KAAK,MAAM,IAAI,MAAM,yCAAyCY,IAAI,EAAE,OAAOZ,CAAC,CAAC,OAAO,YAAY,CAAC,OAAO,OAAO,KAAKyvB,GAAG,YAAY,EAAE,QAAQ,CAAC,CAAC,EAAE,SAASC,GAAG5vB,EAAE,CAAC,GAAGA,EAAE,QAAQ0vB,EAAE,IAAI,GAAG,MAAM,IAAI,MAAM,6EAA6EC,GAAG,WAAW,EAAE,KAAK,GAAG,GAAG,EAAE,MAAM,CAAC,OAAO3vB,EAAE,MAAM0vB,EAAE,EAAE,GAAG,KAAK1vB,EAAE,MAAM0vB,EAAE,EAAE,EAAE,CAAC,CAAC,eAAeG,GAAG7vB,EAAE,EAAEE,EAAE,GAAG,CAAC4X,EAAE9X,IAAI,EAAE,IAAI,wCAAwCA,IAAI,EAAE,IAAIM,EAAEqtB,GAAG,gBAAgB3tB,CAAC,EAAE8X,EAAExX,EAAE,OAAO,EAAE,IAAI,kEAAkEN,IAAI,EAAE8X,EAAExX,EAAE,OAAO,EAAE,IAAI,yCAAyCA,EAAE,wCAAwCN,IAAI,EAAE,IAAIO,EAAED,EAAE,GAAG,EAAEqtB,GAAG,gBAAgB,CAAC,EAAE7V,EAAE,EAAE,OAAO,EAAE,IAAI,uEAAuE,IAAI,EAAEA,EAAE,EAAE,OAAO,EAAE,IAAI,yCAAyCxX,EAAE,6CAA6C,IAAI,EAAE,IAAI,EAAE,EAAE,GAAG2B,EAAE2tB,GAAG5vB,CAAC,EAAE,OAAOkC,EAAE0tB,GAAG5vB,CAAC,EAAE,KAAKmC,EAAEF,IAAI2tB,GAAG5vB,CAAC,EAAE,OAAO4C,EAAE,MAAMrC,EAAE,KAAK,EAAEL,GAAGiC,GAAG,MAAMwtB,GAAG,WAAW1tB,CAAC,EAAE,YAAYC,CAAC,EAAE,IAAIW,EAAE,MAAM,EAAE,KAAKD,CAAC,EAAE,OAAO1C,GAAG,CAACiC,GAAG,MAAMwtB,GAAG,WAAW1tB,CAAC,EAAE,YAAYC,CAAC,EAAEW,EAAE,kBAAkB,CAAC,eAAeitB,IAAI,CAAC,IAAI9vB,EAAE2vB,GAAG,WAAW,EAAE,EAAE,CAAC,EAAE,QAAQzvB,KAAKF,EAAE,CAAC,IAAIM,EAAE,MAAMqvB,GAAG,WAAWzvB,CAAC,EAAE,WAAW,EAAE,QAAQK,KAAKD,EAAE,CAAC,IAAI,EAAEJ,EAAEwvB,GAAGnvB,EAAE,EAAE,GAAGD,EAAEC,EAAE,CAAC,CAAC,OAAO,CAAC,CAAC,eAAewvB,GAAG/vB,EAAE,CAAC,IAAI,EAAE4vB,GAAG5vB,CAAC,EAAE,OAAO2vB,GAAG,WAAW,EAAE,MAAM,EAAE,YAAY,EAAE,IAAI,CAAC,CAAC,eAAeK,GAAGhwB,EAAE,EAAE,CAAC,OAAO6vB,GAAG7vB,EAAE,EAAE,EAAE,CAAC,CAAC,eAAeiwB,GAAGjwB,EAAE,EAAE,CAAC,OAAO6vB,GAAG7vB,EAAE,EAAE,EAAE,CAAC,CAAC,IAAIkwB,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,YAAY,mBAAmB,KAAK,aAAa,CAAC,EAAE,KAAK,oBAAoB,EAAE,KAAK,iBAAiB,EAAE,CAAC,MAAMpvB,EAAEZ,EAAE,CAAC,OAAO,MAAMY,EAAEZ,CAAC,CAAC,CAAC,KAAK,CAAC,OAAO,YAAY,IAAI,CAAC,CAAC,OAAOY,EAAEZ,EAAE,CAAC,GAAGA,IAAI,SAASA,IAAI,OAAO,MAAM,IAAI,MAAM,kDAAkDA,GAAG,EAAE,OAAO,KAAK,aAAa,OAAO,KAAK,YAAY,IAAI,aAAa,KAAK,YAAY,OAAOY,CAAC,CAAC,CAAC,OAAOA,EAAEZ,EAAE,CAAC,OAAO,IAAI,YAAYA,CAAC,EAAE,OAAOY,CAAC,CAAC,CAAC,iBAAiBA,EAAEZ,EAAE,CAAC,GAAG,CAAC,QAAQ,CAACua,EAAE,EAAE,QAAQ,sBAAsB,EAAE,CAAC,WAAW3Z,EAAEZ,CAAC,EAAE,MAAM,CAAC,KAAK,aAAa,KAAKY,CAAC,EAAE,WAAW,IAAI,CAAC,OAAO,YAAY,CAAC,KAAK,KAAK,YAAY,MAAM,KAAK,aAAa,OAAO,CAAC,EAAE,GAAG,CAAC,EAAEZ,CAAC,EAAE,KAAK,mBAAmB,KAAK,iBAAiB,GAAG,OAAO,iBAAiB,UAAU,GAAG,CAAC,GAAG,EAAE,SAAS,QAAQ,EAAE,KAAK,OAAO,KAAK,YAAY,CAAC,EAAE,gBAAgB,EAAE,IAAIK,EAAE,KAAK,aAAa,EAAE,KAAK,OAAOA,EAAE,EAAE,KAAK,sBAAsB,KAAK,sBAAsB,KAAK,aAAa,SAAS,KAAK,aAAa,CAAC,EAAE,KAAK,oBAAoB,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE,GAAGka,EAAE,EAAE,IAAI,YAAY,EAAE,CAACA,EAAE,EAAE,YAAY,UAAU,IAAIyV,EAAE,EAAE,GAAG,CAACP,GAAG,gBAAgBL,GAAG,WAAW,IAAIG,EAAE,CAAC,OAAOzvB,EAAN,CAAS,CAAC,GAAG,CAAC2vB,GAAG,gBAAgBrB,GAAG,WAAW,IAAII,EAAE,CAAC,OAAO1uB,EAAN,CAAS,CAAC,CAAC,IAAImwB,GAAG,CAAC,YAAY,IAAIltB,GAAG,CAAC,EAAEmtB,GAAOC,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,KAAKntB,GAAG,EAAE,KAAK,YAAY,IAAI,KAAK,KAAK,WAAW,CAAC,MAAMpC,EAAEZ,EAAE,CAAC,OAAOua,EAAE,EAAE,OAAO,OAAO,KAAKA,EAAE,EAAE,OAAO,MAAM3Z,EAAEZ,CAAC,GAAGkwB,IAAI,OAAOA,GAAGD,GAAG,YAAY,GAAGC,GAAGtvB,EAAEZ,CAAC,EAAE,CAAC,KAAK,CAAC,IAAIY,EAAE,QAAQ,OAAO,EAAE,OAAOA,EAAE,GAAG,IAAIA,EAAE,GAAG,GAAG,CAAC,OAAOA,EAAEZ,EAAE,CAAC,GAAGA,IAAI,SAASA,IAAI,OAAO,MAAM,IAAI,MAAM,sDAAsDA,GAAG,EAAE,OAAO,KAAK,YAAY,OAAOY,CAAC,CAAC,CAAC,OAAOA,EAAEZ,EAAE,CAAC,OAAOY,EAAE,SAAS,EAAE,GAAG,IAAI,KAAK,KAAK,YAAYZ,CAAC,EAAE,OAAOY,CAAC,CAAC,CAAC,EAAE2Z,EAAE,EAAE,IAAI,SAAS,GAAG,CAACA,EAAE,EAAE,IAAI,YAAY,GAAGA,EAAE,EAAE,YAAY,OAAO,IAAI4V,EAAE,EAAE,SAASC,GAAGtwB,EAAE,EAAE,UAAUE,EAAE,CAAC,OAAO,EAAE,GAAG,UAAUga,GAAGla,CAAC,EAAE,IAAIqpB,GAAGrpB,EAAE,EAAEE,CAAC,CAAC,CAAC,SAASqwB,GAAGvwB,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,MAAM,EAAE,GAAG,CAACkZ,GAAG,CAAC,EAAE,MAAM,IAAI,MAAM,mCAAmC,GAAG,EAAE,GAAG,IAAI,UAAUhZ,EAAE,QAAQ,UAAU,IAAI,UAAUA,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,uCAAuC,EAAE,IAAII,EAAE,CAAC,EAAEJ,CAAC,EAAEK,EAAE,CAAC,MAAM,CAAC,EAAE,OAAO0qB,EAAE,UAAUxO,GAAGnc,EAAEC,CAAC,CAAC,CAAC,IAAIiwB,GAAEtE,EAAE,CAAC,MAAMqE,EAAE,CAAC,EAAE,SAASE,GAAGzwB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,QAAQ,mBAAmB,CAAC,EAAE,OAAOirB,EAAE,UAAU3L,GAAGpf,CAAC,CAAC,CAAC,IAAIwwB,GAAGxE,EAAE,CAAC,OAAOuE,EAAE,CAAC,EAAE,SAASE,GAAG3wB,EAAE,EAAE,GAAG,CAAC,QAAQ,IAAIA,EAAE,SAAS,CAAC,CAAC,CAAC,CAACorB,GAAG,EAAE,IAAIwF,GAAG,CAAC,OAAON,GAAG,KAAKE,GAAE,MAAME,GAAG,MAAMC,EAAE,EAAEjH,GAAGkH,EAAE,EAAE,IAAIC,GAAG,CAAC,EAAEzwB,GAAGywB,GAAG,CAAC,aAAa,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,wBAAwB,IAAI9D,GAAG,UAAU,IAAI+C,GAAG,cAAc,IAAIrD,GAAG,cAAc,IAAIF,GAAG,WAAW,IAAIuE,GAAG,eAAe,IAAIC,GAAG,gBAAgB,IAAIlD,GAAG,yBAAyB,IAAIV,GAAG,6BAA6B,IAAID,GAAG,6BAA6B,IAAIE,GAAG,gBAAgB,IAAIQ,GAAG,eAAe,IAAIP,GAAG,KAAK,IAAI2D,GAAG,aAAa,IAAIC,GAAG,WAAW,IAAIrB,GAAG,YAAY,IAAIsB,GAAG,UAAU,IAAInB,GAAG,mBAAmB,IAAIpC,GAAG,mBAAmB,IAAID,GAAG,YAAY,IAAImC,GAAG,qBAAqB,IAAIsB,GAAG,gBAAgB,IAAIC,GAAG,oBAAoB,IAAIC,EAAE,CAAC,EAAE,IAAIC,GAAG,QAAQC,GAAG,QAAQC,GAAG,eAAe,SAASC,GAAG3xB,EAAE,CAAC,OAAO,IAAI,QAAQ,GAAG,WAAW,CAAC,CAAC,EAAE,KAAKA,CAAC,CAAC,CAAC,IAAI4xB,GAAG,KAAK,CAAC,YAAY9wB,EAAE,CAAC,GAAG,CAAC2Z,EAAE,EAAE,QAAQ,YAAY,EAAE,MAAM,IAAI,MAAM,qFAAqF,EAAE3Z,EAAE,WAAW8wB,GAAG,UAAU,IAAI9wB,EAAEA,EAAE,MAAM8wB,GAAG,WAAW,MAAM,IAAI9wB,GAAG,MAAMA,EAAE,SAAS,KAAKA,EAAE0wB,IAAI,KAAK,kBAAkB1wB,EAAE2wB,GAAG,KAAK,mBAAmB3wB,EAAE4wB,EAAE,CAAC,MAAM,KAAK5wB,EAAE,CAAC,GAAG,OAAO,UAAU,YAAY,MAAM,IAAI,MAAM,yFAAyF,EAAE,IAAIZ,EAAE,OAAO,IAAI,gBAAgB,IAAI,KAAK,CAACY,EAAE,UAAU,EAAE,CAAC,KAAK,0BAA0B,CAAC,CAAC,EAAE,GAAGA,EAAE,yBAAyB,YAAY,MAAM,IAAI,MAAM,uFAAuF,EAAE,CAAC,IAAI,EAAE,CAAC,CAAC,MAAM,CAAC,KAAK,KAAK,kBAAkB,EAAE,QAAQA,EAAE,WAAW,CAAC,EAAEP,EAAE4sB,GAAGrsB,EAAE,CAAC,EAAEiB,EAAE,OAAO,IAAI,gBAAgB,IAAI,KAAK,CAAC,KAAK,UAAUxB,CAAC,CAAC,EAAE,CAAC,KAAK,kBAAkB,CAAC,CAAC,EAAEyB,EAAE,KAAK,iBAAiB,KAAK,SAAS,cAAc,GAAG,EAAE,KAAK,gBAAgB,GAAGA,EAAE,SAAS,KAAK,kBAAkBA,EAAE,KAAKD,EAAE,MAAM4vB,GAAG,IAAI3vB,EAAE,cAAc,IAAI,WAAW,OAAO,CAAC,CAAC,EAAElB,EAAE,YAAY,KAAK,CAAC,IAAImB,EAAE,KAAK,kBAAkB,KAAK,SAAS,cAAc,GAAG,EAAE,KAAK,iBAAiBA,EAAE,SAAS,KAAK,mBAAmBA,EAAE,KAAK/B,EAAE,MAAMyxB,GAAG,IAAI1vB,EAAE,cAAc,IAAI,WAAW,OAAO,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,mBAAmBqrB,GAAGxsB,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE8wB,GAAG,WAAW,eAAe,IAAIC,GAAG,KAAK,CAAC,YAAY/wB,EAAE,CAAC,GAAGA,GAAG,MAAMA,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,wEAAwEA,GAAG,EAAE,KAAK,SAASA,EAAE,GAAG,KAAK,aAAaA,EAAE,MAAM,CAAC,CAAC,CAAC,MAAM,MAAM,CAAC,OAAO,IAAI,QAAQ,CAACA,EAAEZ,IAAI,CAAC,IAAI,EAAE,IAAI,WAAW,EAAE,OAAOK,GAAG,CAAC,IAAIwB,EAAE,KAAK,MAAMxB,EAAE,OAAO,MAAM,EAAEyB,EAAED,EAAE,cAAc,GAAGC,GAAG,KAAK,CAAC9B,EAAE,IAAI,MAAM,4CAA4C,KAAK,SAAS,MAAM,CAAC,EAAE,MAAM,CAAC,GAAG6B,EAAE,iBAAiB,KAAK,CAAC7B,EAAE,IAAI,MAAM,6CAA6C,KAAK,SAAS,MAAM,CAAC,EAAE,MAAM,CAAC,GAAG,KAAK,aAAa,SAAS,EAAE,CAACY,EAAE,CAAC,cAAckB,CAAC,CAAC,EAAE,MAAM,CAAC,IAAIE,EAAEmrB,GAAGtrB,EAAEI,GAAG,KAAK,YAAYA,CAAC,CAAC,EAAErB,EAAEoB,CAAC,CAAC,EAAE,EAAE,QAAQ3B,GAAGL,EAAE,sEAAsE,KAAK,SAAS,2EAA2E,EAAE,EAAE,WAAW,KAAK,QAAQ,CAAC,CAAC,CAAC,CAAC,YAAYY,EAAE,CAAC,IAAIZ,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQ8B,KAAKlB,EAAEZ,EAAE,KAAK,GAAG8B,EAAE,OAAO,EAAE,EAAE,KAAK,GAAGA,EAAE,KAAK,EAAE,IAAIzB,EAAE,KAAK,4BAA4BO,CAAC,EAAEiB,EAAE,EAAE,IAAIC,GAAG,KAAK,gBAAgBA,EAAEzB,EAAEyB,EAAE,CAAC,EAAE,OAAO,QAAQ,IAAID,CAAC,EAAE,KAAKC,GAAG,CAAC9B,EAAE+sB,GAAGjrB,CAAC,CAAC,CAAC,CAAC,CAAC,gBAAgBlB,EAAEZ,EAAE,CAAC,OAAO,IAAI,QAAQ,CAAC,EAAEK,IAAI,CAAC,IAAIwB,EAAE,IAAI,WAAWA,EAAE,OAAOC,GAAG,CAAC,IAAIC,EAAED,EAAE,OAAO,OAAO,EAAEC,CAAC,CAAC,EAAEF,EAAE,QAAQC,GAAGzB,EAAE,6CAA6CO,KAAK,EAAEiB,EAAE,kBAAkB7B,CAAC,CAAC,CAAC,CAAC,CAAC,4BAA4BY,EAAE,CAAC,IAAIZ,EAAE,CAAC,EAAE,EAAE,KAAK,aAAa,IAAI6B,GAAGmrB,GAAGnrB,EAAE,IAAI,CAAC,EAAExB,EAAE,CAAC,EAAE,QAAQwB,KAAKjB,EAAEiB,EAAE,MAAM,QAAQC,GAAG,CAAC,IAAIC,EAAEirB,GAAGlrB,CAAC,EAAE,GAAG9B,EAAE,QAAQ+B,CAAC,IAAI,GAAG,MAAM,IAAI,MAAM,uDAAuDA,IAAI,EAAE,GAAG/B,EAAE,KAAK+B,CAAC,EAAE,EAAE,QAAQA,CAAC,IAAI,GAAG,MAAM,IAAI,MAAM,8BAA8BA,qBAAqB,EAAE1B,EAAEyB,GAAG,KAAK,aAAa,EAAE,QAAQC,CAAC,EAAE,CAAC,EAAE,GAAG/B,EAAE,SAAS,KAAK,aAAa,OAAO,MAAM,IAAI,MAAM,wDAAwDA,EAAE,oDAAoD,KAAK,aAAa,UAAU,EAAE,OAAOK,CAAC,CAAC,EAAEuxB,GAAG9xB,GAAGya,EAAE,EAAE,QAAQ,YAAY,GAAG,CAAC,MAAM,QAAQza,CAAC,GAAGA,EAAE,WAAW4xB,GAAG,UAAU,EAAEG,GAAG/xB,EAAE,MAAM4xB,GAAG,WAAW,MAAM,CAAC,EAAE,KAAKjE,GAAG,mBAAmBmE,EAAE,EAAE,SAASC,GAAG/xB,EAAE,QAAQ,CAAC,OAAO,IAAI4xB,GAAG5xB,CAAC,CAAC,CAAC,SAAS8wB,GAAG9wB,EAAE,CAAC,OAAO,IAAI6xB,GAAG7xB,CAAC,CAAC,CAAC,SAASgyB,GAAGhyB,EAAE,EAAEE,EAAEI,EAAE,CAAC,EAAEN,CAAC,EAAEE,EAAEA,GAAG,KAAK,EAAEA,EAAEI,EAAEA,GAAG,KAAK,EAAEA,EAAE2B,EAAE/B,EAAEI,CAAC,EAAE,IAAIC,EAAE,EAAE,EAAE2B,IAAIA,EAAE,KAAKC,GAAG,CAAC,IAAIS,EAAE1C,GAAG,EAAEK,EAAEP,EAAE,QAAQM,EAAEJ,GAAG,OAAO,EAAE0C,CAAC,EAAET,CAAC,CAAC,EAAED,GAAG,SAAS,EAAEA,EAAE,CAAC4V,EAAE5V,GAAG,MAAM,MAAM,QAAQA,CAAC,GAAGA,EAAE,OAAO,EAAE,IAAI,qCAAqC,CAAC,CAAC,SAASD,EAAEC,EAAEC,EAAE,CAAC2V,EAAE5V,GAAG,GAAGA,GAAG,EAAE,IAAI,oEAAoEA,GAAG,EAAE4V,EAAE3V,GAAG,GAAGA,GAAG,EAAE,IAAI,kEAAkEA,GAAG,EAAE2V,EAAE3V,GAAGD,EAAE,IAAI,yEAAyEA,qBAAqBC,GAAG,CAAC,CAAC,OAAO,QAAQ,IAAInC,EAAE,IAAI,CAAC,CAAC,CAAC,CAAC,eAAeiyB,GAAGjyB,EAAE,EAAE,CAAC,GAAG,OAAO,EAAE,CAAC,GAAG,IAAIE,EAAE,EAAE,WAAW,KAAKua,EAAE,EAAE,SAAS,MAAM,EAAE,UAAUna,EAAEN,EAAE,IAAI6C,GAAG3C,EAAE2C,EAAE,EAAE,YAAY,CAAC,SAAS,EAAE,CAAC,CAAC,EAAEtC,EAAE,EAAE,EAAE,GAAG0B,GAAG,EAAE,YAAY,KAAK,MAAM,QAAQ,IAAI3B,CAAC,EAAE,MAAM0xB,GAAG1xB,EAAE,EAAE,WAAWC,EAAE,CAAC,GAAG,IAAIsC,GAAGA,EAAE,YAAY,CAAC,EAAEX,EAAE,GAAG,EAAE,EAAE,OAAO,EAAE,YAAY,KAAK,MAAM,QAAQ,IAAID,CAAC,EAAE,MAAM+vB,GAAG/vB,EAAE,EAAE,WAAWC,EAAE,CAAC,CAAC,CAAC,eAAekvB,GAAGpxB,EAAE,EAAE,GAAGE,EAAEI,EAAE,CAAC,OAAO+wB,GAAGrvB,GAAGiwB,GAAGjwB,EAAE,CAAC,YAAY1B,CAAC,CAAC,CAAC,EAAEN,EAAE,EAAEE,CAAC,CAAC,CAAC,SAASmxB,GAAGrxB,EAAE,CAAC,MAAO,OAAM,EAAEE,EAAE,GAAGI,IAAI,CAAC,IAAIC,EAAE,EAAE,IAAI,IAAI,EAAE,EAAE,EAAE,CAAC,EAAE,EAAED,GAAG,KAAKA,EAAE,IAAI,IAAI,EAAE,EAAE,CAAC,EAAE2B,EAAE,CAAC,EAAE,GAAG,EAAE,QAAQ,CAACc,EAAEC,IAAI,CAAC,IAAIkB,EAAE,EAAEnB,EAAE,QAAQ,QAAQ,GAAG,CAAC,IAAIwE,EAAE,iBAAiB,EAAE,EAAE,aAAa,MAAM,EAAE,MAAMxC,EAAEwnB,GAAGhlB,GAAG6Q,GAAG,EAAE,KAAK,EAAEzT,EAAE,IAAI,CAACpE,EAAEyC,GAAG,GAAG,EAAEA,IAAI,OAAO,EAAEA,GAAG,CAAC,GAAG,EAAEA,GAAG,KAAK,CAAC,cAAc,EAAE,YAAYkB,EAAE,UAAUa,CAAC,CAAC,CAAC,EAAEzE,GAAG,KAAKA,EAAE,QAAQ,CAACsE,EAAEC,IAAI,CAACD,IAAI,EAAE,OAAOD,EAAE,EAAE,EAAEE,GAAG,GAAG,CAAC,EAAEF,EAAE,EAAE1C,EAAE,KAAK,EAAE,IAAI,EAAEiC,GAAGa,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,MAAMhC,GAAGA,CAAC,EAAE,CAAC,IAAIA,EAAEzC,EAAE,OAAO,CAAC0C,EAAEkB,IAAI,CAAC,EAAEA,EAAE,EAAE,MAAM,IAAI,MAAM,kDAAkDnB,EAAE,KAAK,IAAI;AAAA,wCACl7mDd,EAAE,KAAK,IAAI,IAAI,CAAC,CAAC,IAAIC,EAAE3B,EAAE,OAAO,CAACwC,EAAEC,EAAEkB,KAAKlB,GAAGD,EAAE,KAAKmB,CAAC,EAAEnB,GAAG,CAAC,CAAC,EAAEZ,EAAE,CAAC,EAAED,EAAE,QAAQa,GAAG,CAAC,EAAEA,GAAG,MAAM,QAAQC,GAAG,CAAC,IAAIkB,EAAEhE,GAAGA,EAAE,SAAS,GAAG,EAAE,GAAG,KAAK8C,EAAEb,EAAE,KAAK+B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,IAAItB,EAAE,MAAM5C,EAAEmC,CAAC,EAAEU,EAAE,CAAC,EAAEC,EAAE,EAAE,OAAOZ,EAAE,QAAQa,GAAG,CAAC,IAAIC,EAAE,EAAED,GAAG,MAAM,OAAOmB,EAAE,EAAE,QAAQU,EAAE,EAAEA,EAAE5B,EAAE4B,IAAIV,GAAGtB,EAAEE,EAAE8B,GAAG,WAAW,IAAI,EAAE,IAAI,YAAYV,CAAC,EAAEqD,EAAE,IAAI,WAAW,CAAC,EAAExC,EAAE,EAAE,QAAQH,EAAE,EAAEA,EAAE5B,EAAE4B,IAAI,CAAC,IAAIC,EAAE,IAAI,WAAWjC,EAAEE,EAAE8B,EAAE,EAAE2C,EAAE,IAAI1C,EAAEE,CAAC,EAAEA,GAAGF,EAAE,UAAU,CAAC,EAAE9B,GAAG,QAAQ6B,GAAG,CAAC,IAAIC,EAAE,EAAE,MAAMD,EAAE,YAAYA,EAAE,YAAYA,EAAE,SAAS,EAAEE,EAAE6nB,GAAG9nB,EAAE,CAACD,EAAE,aAAa,CAAC,EAAE,QAAQ4C,KAAK1C,EAAEjC,EAAE2E,GAAG1C,EAAE0C,EAAE,CAAC,EAAE1E,GAAGE,CAAC,CAAC,EAAEH,CAAC,CAAC,CAAC,IAAIqvB,GAAG,2BAA2BC,GAAG,mBAAmBC,GAAG,KAAK,CAAC,YAAYtxB,EAAEZ,EAAE,CAAC,GAAG,KAAK,eAAe,OAAOA,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,iBAAiBA,EAAE,iBAAiB,KAAK,WAAWA,EAAE,WAAW,KAAK,mBAAmBA,EAAE,mBAAmBA,EAAE,WAAW,MAAM4X,EAAE,OAAO5X,EAAE,WAAW,WAAW,IAAI,6HAA6H,EAAE,KAAK,MAAMA,EAAE,WAAW,KAAK,MAAMua,EAAE,EAAE,SAAS,MAAM3C,EAAEhX,GAAG,MAAMA,EAAE,OAAO,EAAE,IAAI,yDAAyD,EAAE,MAAM,QAAQA,CAAC,GAAGgX,EAAEhX,EAAE,SAAS,EAAE,IAAI,iEAAiEA,EAAE,UAAU,EAAE,KAAK,KAAKA,EAAEZ,EAAE,aAAa,MAAMA,EAAE,YAAY,MAAM,KAAK,MAAM,IAAI,MAAM,oEAAoE,EAAE,KAAK,YAAYA,EAAE,aAAa,CAAC,CAAC,CAAC,MAAM,KAAKY,EAAE,CAAC,GAAGA,EAAE,yBAAyB,YAAY,MAAM,IAAI,MAAM,yFAAyF,EAAE,IAAIZ,EAAE,OAAO,OAAO,CAAC,OAAO,KAAK,cAAc,EAAE,KAAK,WAAW,EAAEA,EAAE,KAAK,IAAI,SAAS,IAAI,EAAE,CAAC,CAAC,MAAM,CAAC,qBAAqB,EAAE,QAAQY,EAAE,WAAW,CAAC,EAAEP,EAAE4sB,GAAGrsB,EAAE,CAAC,EAAEZ,EAAE,KAAK,OAAO,aAAa,IAAI,KAAK,CAAC,KAAK,UAAUK,CAAC,CAAC,EAAE,CAAC,KAAK4xB,EAAE,CAAC,EAAE,YAAY,EAAErxB,EAAE,YAAY,MAAMZ,EAAE,KAAK,OAAO,oBAAoB,IAAI,KAAK,CAACY,EAAE,UAAU,EAAE,CAAC,KAAKoxB,EAAE,CAAC,EAAE,mBAAmB,EAAE,IAAInwB,EAAE,MAAM,KAAK,MAAM,KAAK,KAAK7B,CAAC,EAAE,GAAG6B,EAAE,GAAG,MAAM,CAAC,mBAAmBurB,GAAGxsB,CAAC,EAAE,UAAU,CAACiB,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,gEAAgEA,EAAE,SAAS,CAAC,CAAC,MAAM,MAAM,CAAC,IAAIjB,EAAE,MAAM,KAAK,MAAM,KAAK,KAAK,KAAK,WAAW,EAAE,GAAG,CAACA,EAAE,GAAG,MAAM,IAAI,MAAM,cAAc,KAAK,gCAAgCA,EAAE,+EAA+E,EAAE,IAAIZ,EAAE,GAAG,CAACA,EAAE,MAAMY,EAAE,KAAK,CAAC,OAAOiB,EAAN,CAAS,IAAIC,EAAE,+CAA+C,KAAK,QAAQ,MAAM,KAAK,KAAK,SAAS,KAAK,EAAEA,GAAG,+UAA+UA,GAAG,uEAAuE,IAAI,MAAMA,CAAC,CAAC,CAAC,IAAI,EAAE9B,EAAE,cAAcK,EAAEL,EAAE,gBAAgB,GAAG,GAAG,MAAMK,GAAG,KAAK,MAAM,IAAI,MAAM,2BAA2B,KAAK,+DAA+D,EAAE,OAAO8sB,GAAGntB,EAAE6B,GAAG,KAAK,YAAYA,CAAC,CAAC,CAAC,CAAC,MAAM,YAAYjB,EAAE,CAAC,IAAIZ,EAAE,MAAM,QAAQ,KAAK,IAAI,EAAE,KAAK,KAAK,GAAG,KAAK,KAAK,CAAC,EAAEK,CAAC,EAAE8xB,GAAGnyB,CAAC,EAAE6B,EAAE,KAAK,kBAAkB,EAAEC,EAAEurB,GAAGzsB,CAAC,EAAEmB,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,QAAQU,KAAK9B,EAAE,QAAQ,KAAK8B,EAAE,MAAM,KAAK,oBAAoB,KAAKV,EAAE,KAAK,KAAK,mBAAmB,CAAC,CAAC,EAAED,EAAE,KAAKF,EAAE,EAAExB,CAAC,EAAE,KAAK,oBAAoB0B,EAAE,KAAK,GAAG,MAAM,QAAQ,IAAIC,CAAC,CAAC,EAAE,IAAI,EAAE,MAAM+vB,GAAGhwB,EAAE,CAAC,YAAY,KAAK,YAAY,UAAU,KAAK,MAAM,WAAW,KAAK,UAAU,CAAC,EAAE,MAAM,CAACD,EAAEirB,GAAG,CAAC,CAAC,CAAC,CAAC,EAAEmF,GAAG,iBAAiB,eAAe,SAASC,GAAGryB,EAAE,CAAC,IAAI,EAAEA,EAAE,YAAY,GAAG,EAAEE,EAAEF,EAAE,YAAY,GAAG,EAAEM,EAAEN,EAAE,UAAU,EAAE,CAAC,EAAEO,EAAEL,EAAE,EAAEF,EAAE,UAAUE,CAAC,EAAE,GAAG,MAAM,CAACI,EAAE,IAAIC,CAAC,CAAC,CAAC,SAAS4wB,GAAGnxB,EAAE,CAAC,OAAOA,EAAE,MAAMoyB,GAAG,gBAAgB,GAAG,IAAI,CAAC,IAAIE,GAAG,CAACtyB,EAAE,IAAI,CAAC,GAAG,OAAO,OAAO,cAAc,GAAG,MAAM,EAAE,WAAW,MAAM,OAAO,KAAK,CAAC,IAAIE,EAAE,GAAG,GAAG,MAAM,QAAQF,CAAC,EAAEE,EAAEF,EAAE,MAAMM,GAAG6wB,GAAG7wB,CAAC,CAAC,EAAEJ,EAAEixB,GAAGnxB,CAAC,EAAEE,EAAE,OAAOgxB,GAAGlxB,EAAE,CAAC,CAAC,CAAC,OAAO,IAAI,EAAE2tB,GAAG,mBAAmB2E,EAAE,EAAE3E,GAAG,mBAAmB2E,EAAE,EAAE,SAASpB,GAAGlxB,EAAE,EAAE,CAAC,OAAO,IAAIoyB,GAAGpyB,EAAE,CAAC,CAAC,CAAC,SAAS+wB,GAAG/wB,EAAE,EAAE,CAAC,OAAOkxB,GAAGlxB,EAAE,CAAC,CAAC,CAAC,IAAIuyB,GAAG,KAAK,CAAC,YAAYzxB,EAAE,CAAC,KAAK,eAAeA,CAAC,CAAC,MAAM,CAAC,OAAO,KAAK,cAAc,CAAC,EAAE0xB,GAAG,KAAK,CAAC,YAAY1xB,EAAE,CAAC,KAAK,YAAYA,CAAC,CAAC,KAAKA,EAAE,CAAC,OAAO,KAAK,YAAYA,CAAC,CAAC,CAAC,EAAE2xB,GAAG,KAAK,CAAC,YAAY3xB,EAAE,CAACA,EAAE,OAAO,KAAK,KAAK,IAAI,QAAQ,QAAQA,EAAE,KAAK,CAAC,GAAGA,EAAE,OAAO,KAAK,KAAKZ,GAAG,QAAQ,QAAQY,EAAE,KAAKZ,CAAC,CAAC,EAAE,CAAC,EAAE,SAAS8wB,GAAGhxB,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAE,UAAU,OAAO,IAAIkyB,GAAGxB,GAAG,GAAG1wB,CAAC,CAAC,CAAC,CAAC,SAAS0wB,GAAGjxB,EAAE,EAAEE,EAAEI,EAAE,CAAC,OAAO,UAAU,SAAS,EAAEN,EAAE,eAAe,MAAMA,EAAE,aAAa,KAAK,IAAIuyB,GAAGvyB,CAAC,GAAG,QAAQ,KAAK,uNAAuN,EAAE,IAAIuyB,GAAG,CAAC,cAAcvyB,CAAC,CAAC,IAAI,QAAQ,KAAK,uNAAuN,EAAE,IAAIuyB,GAAG,CAAC,cAAcvyB,EAAE,YAAY,EAAE,WAAWE,EAAE,eAAeI,CAAC,CAAC,EAAE,CAAC,SAASgxB,GAAGtxB,EAAE,CAAC,OAAO,IAAIwyB,GAAGxyB,CAAC,CAAC,CAAC,SAASuxB,GAAGvxB,EAAE,CAAC,OAAO,IAAIwyB,GAAGxyB,CAAC,CAAC,CAAC,IAAI0yB,GAAG,CAAC,EAAEtyB,GAAGsyB,GAAG,CAAC,gBAAgB,IAAIC,EAAE,CAAC,EAAE,SAASC,GAAG5yB,EAAE,EAAEE,EAAE,GAAGI,EAAE,GAAG,CAAC,IAAIC,EAAEwrB,EAAE/rB,EAAE,IAAI,QAAQ,EAAE,EAAE+rB,EAAE,EAAE,IAAI,QAAQ,EAAE,CAACxrB,EAAE,CAAC,EAAE4pB,GAAG5pB,EAAE,CAAC,EAAE,IAAI,EAAE,CAAC,EAAEA,EAAE,EAAE,CAAC,EAAE0B,EAAE,CAAC,WAAW/B,EAAE,WAAWI,CAAC,EAAE,OAAO2qB,EAAE,UAAU7O,GAAG,EAAEna,CAAC,CAAC,CAAC,IAAI4wB,GAAG3G,EAAE,CAAC,QAAQ0G,EAAE,CAAC,EAAE,SAASE,GAAG9yB,EAAE,EAAEE,EAAE,EAAEI,EAAE,EAAEC,EAAE,QAAQ,CAAC,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,iDAAiD,GAAG,EAAE,IAAIyB,EAAE,CAAC,QAAQ+pB,EAAE/rB,EAAE,UAAU,SAAS,OAAO,CAAC,EAAEiC,EAAE,CAAC,MAAM1B,EAAE,MAAM,EAAE,QAAQL,EAAE,SAASI,CAAC,EAAE,OAAO2qB,EAAE,UAAUnJ,GAAG9f,EAAEC,CAAC,CAAC,CAAC,IAAI8wB,GAAG7G,EAAE,CAAC,QAAQ4G,EAAE,CAAC,EAAE,SAASE,IAAK,CAACvY,EAAE,EAAE,IAAI,OAAO,EAAE,CAAC,CAAC,SAASwY,IAAK,CAACxY,EAAE,EAAE,IAAI,QAAQ,EAAE,CAAC,CAAC,SAASyY,IAAK,CAACzY,EAAE,EAAE,IAAI,+BAA+B,EAAE,EAAE,QAAQ,KAAK,wDAAwD,CAAC,CAAC,SAAS0Y,GAAGnzB,EAAE,CAACya,EAAE,EAAE,QAAQ,8BAA8B,GAAG,QAAQ,KAAKza,EAAE,6EAA6E,CAAC,CAAC2pB,GAAGwJ,EAAE,EAAE,SAASC,IAAK,CAACnI,EAAE,iBAAiB,CAAC,CAAC,SAASoI,IAAI,CAAC,OAAOpI,CAAC,CAAC,SAASqI,IAAI,CAAC,OAAOrI,EAAE,OAAO,CAAC,CAAC,SAASsI,GAAIvzB,EAAE,CAAC,OAAOirB,EAAE,QAAQjrB,CAAC,CAAC,CAAC,SAASwzB,EAAExzB,EAAE,EAAE,CAAC,OAAOirB,EAAE,KAAKjrB,EAAE,CAAC,CAAC,CAAC,SAASyzB,GAAGzzB,EAAE,CAACiqB,GAAGjqB,CAAC,EAAE,QAAQE,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,SAASwzB,GAAG1zB,EAAE,CAAC,OAAOirB,EAAE,KAAKjrB,CAAC,CAAC,CAAC,SAAS2zB,GAAI3zB,EAAE,CAAC,OAAOirB,EAAE,KAAKjrB,CAAC,CAAC,CAAC,SAAS4zB,GAAG5zB,EAAE,CAAC,OAAOirB,EAAE,WAAWjrB,CAAC,CAAC,CAAC,SAAS6zB,IAAK,CAAC,OAAO5I,EAAE,MAAM,CAAC,CAAC,SAAS6I,IAAK,CAAC,OAAO7I,EAAE,WAAW,CAAC,SAAS8I,GAAI/zB,EAAE,CAACirB,EAAE,cAAcjrB,CAAC,CAAC,CAAC,SAASg0B,GAAIh0B,EAAE,CAAC,OAAOirB,EAAE,YAAYjrB,CAAC,CAAC,CAAC,SAASi0B,GAAIj0B,EAAE,CAAC,OAAOirB,EAAE,mBAAmBjrB,CAAC,CAAC,CAAC,SAASk0B,GAAGl0B,EAAE,EAAEE,EAAE,EAAE,CAAC,OAAO+qB,EAAE,gBAAgBjrB,EAAE,EAAEE,CAAC,CAAC,CAAC,SAASi0B,IAAI,CAAC,OAAOlJ,EAAE,OAAO,CAAC,SAASmJ,GAAIp0B,EAAE,EAAE,CAACya,EAAE,EAAE,YAAYza,EAAE,CAAC,CAAC,CAAC,SAASq0B,GAAGr0B,EAAE,CAAC,IAAIE,EAAE,CAAC,MAAM6rB,EAAE/rB,EAAE,QAAQ,MAAM,CAAC,EAAE,OAAOirB,EAAE,UAAUzL,GAAGtf,CAAC,CAAC,CAAC,IAAIo0B,GAAGpI,EAAE,CAAC,MAAMmI,EAAE,CAAC,EAAE,SAASE,GAAGv0B,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,KAAK,CAAC,EAAE,OAAOirB,EAAE,UAAUzJ,GAAGthB,CAAC,CAAC,CAAC,IAAIs0B,GAAGtI,EAAE,CAAC,KAAKqI,EAAE,CAAC,EAAE,SAASE,GAAGz0B,EAAE,CAAC,IAAIE,EAAE,CAAC,MAAM6rB,EAAE/rB,EAAE,QAAQ,MAAM,CAAC,EAAE,OAAOirB,EAAE,UAAUzI,GAAGtiB,CAAC,CAAC,CAAC,IAAIw0B,GAAGxI,EAAE,CAAC,MAAMuI,EAAE,CAAC,EAAE,SAASE,GAAG30B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEyrB,EAAE/rB,EAAE,IAAI,WAAW,EAAE,GAAG,GAAG,OAAO,EAAEM,EAAE,MAAM,IAAI,CAAC,EAAE2B,IAAIA,CAAC,EAAE,QAAQ,GAAG6V,EAAExX,EAAE,OAAO,EAAE,OAAO,IAAI,qCAAqCA,EAAE,kCAAkC,IAAI,EAAE,EAAE,QAAQ,GAAG,CAACwX,EAAE,GAAG,GAAG,EAAExX,EAAE,KAAK,IAAI,+CAA+CA,EAAE,KAAK,aAAa,GAAG,CAAC,CAAC,EAAEA,EAAE,MAAM,EAAE,OAAOA,EAAE,MAAM,EAAE,IAAIC,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAE,OAAOA,EAAE,QAAQ,YAAYkzB,EAAE,IAAI,CAAC,IAAI,EAAEkB,GAAGp0B,CAAC,EAAE2B,EAAEqyB,GAAGh0B,CAAC,EAAE,OAAO,EAAE2qB,EAAE,UAAU7F,GAAG,CAAC,EAAE,CAAC,EAAE,CAAC,EAAEnjB,EAAEgpB,EAAE,UAAU7F,GAAG,CAAC,EAAEnjB,CAAC,EAAE,CAAC,EAAE/B,IAAI+B,EAAEuyB,GAAGvyB,CAAC,GAAGmqB,GAAG,EAAEnqB,CAAC,CAAC,CAAC,EAAEgpB,EAAE,UAAU7F,GAAG7kB,EAAE,CAAC,CAAC,CAAC,IAAIq0B,GAAG1I,EAAE,CAAC,WAAWyI,EAAE,CAAC,EAAE,SAASE,GAAG70B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEyrB,EAAE/rB,EAAE,SAAS,iBAAiB,EAAEO,EAAEwrB,EAAE,EAAE,cAAc,iBAAiB,EAAEjU,EAAE5X,GAAG,MAAMA,EAAE,GAAG,OAAO,UAAUA,CAAC,EAAE,IAAI,+DAA+DA,GAAG,EAAE4X,EAAExX,EAAE,OAAO,EAAE,IAAI,gDAAgDA,EAAE,MAAM,EAAEwX,EAAEvX,EAAE,OAAO,EAAE,IAAI,qDAAqDA,EAAE,MAAM,EAAEuX,EAAExX,EAAE,MAAM,KAAKC,EAAE,MAAM,GAAG,IAAI,uCAAuCD,EAAE,MAAM,UAAUC,EAAE,MAAM,qEAAqE,EAAEuX,EAAE5X,EAAE,GAAG,OAAO,UAAUA,CAAC,EAAE,IAAI,4DAA4DA,GAAG,EAAE,IAAI,EAAE6yB,GAAGvC,GAAElwB,EAAE,OAAO,EAAEJ,CAAC,EAAE,EAAE6yB,GAAGvC,GAAEjwB,EAAE,OAAO,EAAEL,CAAC,EAAE+B,EAAE2yB,GAAG,CAAC,EAAE1yB,EAAE2wB,GAAG5wB,EAAE,CAAC,EAAE,OAAOuuB,GAAEtuB,EAAE,OAAO,CAAC,CAAC,IAAIywB,GAAGzG,EAAE,CAAC,iBAAiB2I,EAAE,CAAC,EAAMC,GAAG,CAAC,EAAE10B,GAAG00B,GAAG,CAAC,2BAA2B,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,iBAAiB,IAAIC,EAAE,CAAC,EAAE,SAASD,GAAGh1B,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,OAAOM,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEL,EAAEK,IAAI,CAAC,IAAI,EAAEL,EAAE,EAAEK,EAAE,EAAEP,EAAE,IAAI,GAAG,EAAE,EAAE,OAAO,EAAEO,IAAI,GAAG,GAAG,IAAI,GAAGD,EAAE,QAAQ,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,SAAS20B,GAAGj1B,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,CAAC,IAAIC,EAAEP,EAAEA,EAAE,OAAOM,EAAE,GAAG,EAAE,EAAE,OAAOA,EAAE,EAAE,EAAE,EAAE,IAAIC,GAAG,MAAMA,IAAI,GAAG,EAAE,IAAIL,EAAE,QAAQ,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,SAAS60B,GAAG/0B,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEI,EAAE,KAAK,IAAIN,EAAE,OAAO,EAAE,MAAM,EAAE,QAAQO,EAAE,EAAEA,EAAED,EAAEC,IAAI,CAAC,IAAI,EAAEP,EAAEA,EAAE,OAAOO,EAAE,GAAG,GAAG,OAAO,EAAE,GAAG,IAAI,EAAE,EAAE,EAAE,OAAOA,EAAE,GAAG,GAAG,GAAG,OAAO,EAAE,GAAG,IAAI,EAAEL,EAAE,QAAQ,CAAC,UAAU,IAAI,EAAEA,EAAE,QAAQ,CAAC,UAAU,IAAI,EAAE,CAAC,IAAI+B,EAAE,wDAAwDjC,SAAS,KAAK,MAAM,MAAMiC,CAAC,CAAC,MAAM/B,EAAE,QAAQ,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,IAAIg1B,GAAG,CAAC,EAAE90B,GAAG80B,GAAG,CAAC,WAAW,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,SAAS,IAAIC,EAAE,CAAC,EAAE,SAASC,GAAGt1B,EAAE,EAAEE,EAAE,CAAC,GAAG+X,GAAGjY,CAAC,EAAE,GAAG,MAAM,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,iDAAiD,EAAE,IAAIM,EAAEsrB,GAAG5rB,EAAEE,CAAC,EAAE,GAAGI,EAAE,SAAS,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,kEAAkE,EAAE,GAAGA,EAAE,SAAS,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,yEAAyE,EAAE,OAAO+rB,GAAGrsB,EAAE,EAAEM,EAAEJ,CAAC,CAAC,CAAC,IAAIq1B,GAAG,SAASC,GAAGx1B,EAAE,EAAE,EAAE,CAAC,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,gEAAgE,EAAE,GAAGA,GAAG,KAAK,MAAM,IAAI,MAAM,0DAA0D,EAAE,IAAIE,EAAE,GAAGI,EAAE,GAAGC,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG0B,EAAE,GAAG,GAAGjC,EAAE,gBAAgB,WAAWE,EAAE,WAAW,OAAO,WAAW,aAAaF,aAAa,UAAUM,EAAE,WAAW,OAAO,kBAAkB,aAAaN,aAAa,iBAAiBO,EAAE,WAAW,OAAO,kBAAkB,aAAaP,aAAa,iBAAiB,EAAE,WAAWA,EAAE,YAAY,KAAK,EAAE,WAAW,OAAO,aAAa,aAAaA,aAAa,YAAYiC,EAAE,OAAQ,OAAM,IAAI,MAAM,qPAAqPjC,EAAE,YAAY,MAAM,EAAE,GAAGomB,GAAGT,GAAGsF,EAAE,WAAW,GAAG,KAAK,CAAC,IAAIjoB,EAAE,CAAC,OAAOhD,CAAC,EAAE,EAAE,CAAC,YAAY,CAAC,EAAE,OAAOirB,EAAE,UAAUtF,GAAG3iB,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,EAAEJ,CAAC,EAAErC,EAAE,CAACP,EAAE,WAAWA,EAAE,WAAW,EAAE,CAACA,EAAE,MAAMA,EAAE,MAAM,EAAE,EAAE,GAAG,EAAE,EAAEA,EAAE,WAAW,IAAI,EAAE,aAAa,EAAE,EAAE,EAAE4C,CAAC,EAAE,aAAatC,GAAGJ,EAAE,EAAEF,EAAE,aAAa,GAAGO,GAAG0B,EAAE,CAAC,GAAGszB,IAAI,KAAK,GAAG,OAAO,UAAU,YAAY,GAAG,OAAO,iBAAiB,aAAa,OAAO,mCAAmC,YAAYA,GAAG,IAAI,gBAAgB,EAAE,CAAC,EAAE,WAAW,IAAI,MAAO,OAAM,IAAI,MAAM,sGAAsG,OAAOA,GAAG,SAAS,cAAc,QAAQ,EAAE,WAAW,KAAK,CAAC,mBAAmB,EAAE,CAAC,EAAEA,GAAG,OAAO,MAAM,EAAEA,GAAG,OAAO,OAAO3yB,EAAE2yB,GAAG,UAAUv1B,EAAE,EAAE,EAAE,EAAE4C,CAAC,EAAE,EAAE2yB,GAAG,aAAa,EAAE,EAAE,EAAE3yB,CAAC,EAAE,IAAI,CAAC,IAAIE,EAAE,GAAG,IAAI,EAAEA,EAAE,IAAI,WAAW,CAAC,MAAM,CAAC,IAAIE,EAAE,EAAEJ,EAAEE,EAAE,IAAI,WAAWE,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,IAAI,QAAQmB,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAErB,EAAE,EAAE,EAAEqB,GAAG,EAAE,EAAE,EAAEA,EAAE,CAAC,OAAOmxB,GAAGxyB,EAAE,CAACF,EAAE,EAAE,CAAC,EAAE,OAAO,CAAC,CAAC,SAAS6yB,GAAGz1B,EAAE,CAAC,OAAOA,GAAG,MAAMA,EAAE,gBAAgB,UAAU,CAAC,SAAS01B,IAAI,CAAC,OAAO,OAAO,QAAQ,aAAa,OAAO,aAAa,aAAa,OAAO,eAAe,mBAAmB,CAAC,CAAC,SAASC,GAAG31B,EAAE,CAAC,OAAOA,GAAG,MAAMA,EAAE,QAAQ,GAAGA,EAAE,SAAS,CAAC,CAAC,SAAS41B,GAAG51B,EAAE,CAAC,OAAO01B,GAAG,GAAG,EAAE11B,aAAa,cAAc21B,GAAG31B,CAAC,GAAG,CAACy1B,GAAGz1B,CAAC,CAAC,CAAC,eAAeo1B,GAAGp1B,EAAE,EAAE,EAAE,CAAC,IAAIE,EAAE,KAAK,GAAGua,EAAE,EAAE,QAAQ,qBAAqB,GAAGmb,GAAG51B,CAAC,EAAE,CAAC,IAAIM,EAAE,GAAG,CAACA,EAAE,MAAM,kBAAkBN,EAAE,CAAC,iBAAiB,MAAM,CAAC,CAAC,OAAOO,EAAN,CAASD,EAAE,IAAI,CAACA,GAAG,MAAMA,EAAE,QAAQN,EAAE,OAAOM,EAAE,SAASN,EAAE,OAAOE,EAAEI,EAAEJ,EAAEF,CAAC,MAAME,EAAEF,EAAE,OAAOw1B,GAAGt1B,EAAE,CAAC,CAAC,CAAC,eAAem1B,GAAGr1B,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,MAAM,UAAU,EAAE,GAAG,EAAEA,aAAa4pB,IAAI,CAAC,IAAIznB,EAAEjC,EAAEA,EAAEswB,GAAEruB,EAAE,OAAO,EAAEA,EAAE,QAAQ,CAAC,CAAC,GAAGjC,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,wDAAwDA,EAAE,OAAO,EAAE,GAAG,CAACI,EAAEC,CAAC,EAAEL,EAAE,MAAM,MAAM,EAAE,CAAC,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEA,EAAE,MAAM,GAAG,GAAG,EAAE,GAAG,IAAI,EAAE,MAAM,IAAI,MAAM,0DAA0D,GAAG,EAAE,GAAGA,EAAE,QAAQ,WAAWA,EAAE,QAAQ,QAAQ,MAAM,IAAI,MAAM,kCAAkCA,EAAE,6CAA6C,EAAE,IAAI,EAAE,MAAMA,EAAE,KAAK,EAAE+B,EAAE/B,EAAE,QAAQ,UAAU,IAAI,EAAEgC,EAAE,IAAI,kBAAkB3B,EAAED,EAAE,CAAC,EAAE,QAAQ6B,EAAE,EAAEA,EAAE7B,EAAEC,EAAE,EAAE4B,EAAE,CAAC,IAAIS,EAAE,CAAC,EAAE,EAAE,EAAE,GAAG,EAAE,QAAQE,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIC,EAAE,EAAEZ,EAAE,EAAEW,GAAG,GAAG5C,EAAE,QAAQ,WAAW,GAAG6C,EAAE,GAAGA,EAAE,EAAE,MAAM,IAAI,MAAM,mFAAmFA,IAAI,UAAU7C,EAAE,QAAQ,UAAU6C,EAAE,GAAGA,EAAE,KAAK,MAAM,IAAI,MAAM,mFAAmFA,IAAI,EAAE,IAAI,GAAGH,EAAE,GAAGG,EAAEd,EAAEW,EAAE,GAAGG,EAAEd,EAAEW,EAAE,GAAGG,EAAEd,GAAGW,EAAEE,GAAGC,EAAEd,CAAC,CAAC,IAAIY,EAAEV,EAAE,EAAED,EAAEW,EAAE,GAAG,KAAK,MAAMD,EAAE,EAAE,EAAEV,EAAEW,EAAE,GAAG,KAAK,MAAMD,EAAE,EAAE,EAAEV,EAAEW,EAAE,GAAG,KAAK,MAAMD,EAAE,EAAE,EAAEV,EAAEW,EAAE,GAAG,KAAK,MAAMD,EAAE,EAAE,CAAC,CAAC,GAAG,GAAG,KAAK,CAAC,EAAE,MAAMrC,EAAE,EAAE,OAAOD,EAAE,IAAI6B,EAAE,EAAE,WAAW,IAAI,EAAES,EAAE,IAAI,UAAUV,EAAE3B,EAAED,CAAC,EAAE6B,EAAE,aAAaS,EAAE,EAAE,CAAC,CAAC,CAAC,OAAO1C,IAAIF,GAAGE,EAAE,QAAQ,EAAEgC,CAAC,CAAC,IAAIizB,GAAGjJ,EAAE,CAAC,YAAYsJ,EAAE,CAAC,EAAMK,GAAG,CAAC,EAAEz1B,GAAGy1B,GAAG,CAAC,mBAAmB,IAAIC,EAAE,CAAC,EAAE,SAASA,GAAG91B,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,MAAM,OAAOM,EAAE,EAAE,MAAM,OAAO,GAAGJ,EAAE,EAAE,MAAM,IAAI,MAAM,4EAA4EA,IAAI,EAAE,GAAGI,EAAE,EAAE,MAAM,IAAI,MAAM,8EAA8EA,IAAI,EAAE,GAAG,EAAE,QAAQ,QAAQ,MAAM,IAAI,MAAM,yEAAyE,EAAE,QAAQ,EAAE,GAAG,EAAE,MAAMA,EAAE,GAAGJ,EAAE,MAAM,IAAI,MAAM,iEAAiE,EAAE,MAAMI,EAAE,UAAUJ,GAAG,EAAE,GAAGkY,GAAGpY,EAAE,KAAK,IAAI,EAAE,MAAM,IAAI,MAAM,mEAAmEA,EAAE,QAAQ,EAAE,IAAIO,EAAE,EAAE,MAAM,EAAEA,EAAEA,EAAE,OAAO,GAAG,EAAE,EAAE,QAAQsC,EAAE,EAAEA,EAAEtC,EAAE,OAAO,EAAE,EAAEsC,EAAE,GAAGtC,EAAEsC,GAAG,IAAIZ,EAAEjC,EAAE,MAAMkC,EAAE3B,EAAE,MAAM,EAAE2B,EAAE,IAAI,EAAE,IAAIC,EAAE,EAAE,QAAQU,EAAE,EAAEA,EAAE3C,EAAE,EAAE2C,EAAEV,GAAGF,EAAEY,GAAGX,EAAE,KAAKD,EAAEY,EAAE,EAAE,IAAID,EAAE,CAAC,GAAGgX,GAAG5Z,EAAE,KAAK,EAAE,IAAI6C,GAAGA,EAAEV,CAAC,EAAE,CAAC,EAAE,MAAM,EAAE,CAAC,EAAE,MAAM,CAACD,EAAE,EAAEC,EAAES,CAAC,CAAC,CAAC,IAAImzB,GAAG,CAAC,EAAE31B,GAAG21B,GAAG,CAAC,gBAAgB,IAAIC,GAAG,cAAc,IAAIC,GAAG,oBAAoB,IAAIC,EAAE,CAAC,EAAE,SAASA,GAAGl2B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,EAAE,KAAK,EAAE,EAAE,MAAM,EAAE,KAAK,GAAG,EAAEC,EAAE,EAAE,KAAK,EAAE,EAAE,KAAK,EAAE,EAAE,EAAE,6FAA6FL,EAAE,yBAAyB,EAAE,iBAAiBF,gBAAgBM,oBAAoBC,KAAK,GAAGL,EAAE,KAAKK,EAAE,MAAM,IAAI,MAAM,EAAE,kBAAkBA,KAAK,EAAE,GAAGP,EAAE,OAAOM,GAAGJ,EAAE,KAAKK,GAAG,MAAM,IAAI,MAAM,EAAE,0BAA0BD,GAAGJ,EAAE,KAAKK,IAAI,EAAE,GAAGL,EAAE,OAAOK,EAAEP,EAAE,OAAOM,EAAE,MAAM,IAAI,MAAM,EAAE,mBAAmBC,EAAEP,EAAE,OAAOM,GAAG,EAAE,QAAQ,EAAE,EAAE,EAAEC,EAAE,EAAE,EAAE,GAAGL,EAAE,MAAM,KAAK,EAAE,MAAM,GAAG,MAAM,IAAI,MAAM,EAAE,kBAAkB,OAAOA,EAAE,MAAM,wBAAwB,OAAO,EAAE,MAAM,MAAM,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,KAAKK,EAAE,EAAE,EAAE,GAAGL,EAAE,MAAM,EAAEK,KAAKP,EAAE,EAAEM,GAAG,MAAM,IAAI,MAAM,EAAE,kBAAkB,EAAEC,OAAOL,EAAE,MAAM,EAAEK,gBAAgB,EAAEA,OAAOP,EAAE,EAAEO,KAAK,CAAC,CAAC,SAAS01B,GAAGj2B,EAAE,EAAEE,EAAE,CAAC,GAAG,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,+EAA+E,EAAE,OAAO,EAAE,GAAGF,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,+EAA+EA,EAAE,OAAO,EAAE,GAAG,EAAE,QAAQ,QAAQ,MAAM,IAAI,MAAM,0DAA0D,EAAE,OAAO,EAAE,GAAGE,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,6DAA6DA,GAAG,EAAE,GAAGA,EAAE,SAAS,EAAE,CAAC,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,sDAAsD,EAAE,OAAO,EAAE,GAAGF,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,sDAAsDA,EAAE,OAAO,CAAC,CAACk2B,GAAGh2B,EAAE,EAAEF,CAAC,CAAC,CAAC,SAASg2B,GAAGh2B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,EAAE,MAAM,OAAOC,EAAED,EAAE,EAAE,EAAE,MAAMA,EAAE,GAAG,EAAE,EAAEJ,EAAE,OAAO,EAAE,EAAE,QAAQ2C,EAAEtC,EAAEsC,EAAE,EAAE,EAAEA,EAAE,GAAG3C,EAAE2C,GAAG,IAAIZ,EAAE1B,EAAE,EAAE,EAAEA,EAAE2B,EAAEkW,GAAG,EAAE,KAAK,EAAEnW,EAAEE,EAAE,CAAC,GAAGyX,GAAG1Z,EAAE,MAAM,EAAEK,CAAC,CAAC,EAAE,CAAC,EAAEqC,EAAEwV,GAAGlY,CAAC,EAAE,MAAM,CAAC,UAAUK,EAAE,WAAW2B,EAAE,UAAU,EAAE,QAAQC,EAAE,WAAWS,CAAC,CAAC,CAAC,IAAIuzB,GAAG,CAAC,EAAE/1B,GAAG+1B,GAAG,CAAC,kBAAkB,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,WAAW,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,UAAU,IAAIC,GAAG,aAAa,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,YAAY,IAAIC,GAAG,0BAA0B,IAAIC,GAAG,eAAe,IAAIC,GAAG,sBAAsB,IAAIC,EAAE,CAAC,EAAE,IAAIC,GAAG,GAAGC,GAAG,GAAG,SAASf,GAAGp2B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,MAAM,OAAO8X,EAAExX,IAAI,EAAE,OAAO,IAAI,iBAAiBA,uBAAuB,uCAAuCA,KAAK,EAAEwX,EAAExX,IAAIJ,EAAE,OAAO,IAAI,iBAAiBI,sBAAsBJ,uCAAuCI,KAAK,EAAE,QAAQC,EAAE,EAAEA,EAAED,EAAE,EAAEC,EAAEuX,EAAE,EAAEvX,GAAGL,EAAEK,IAAIP,EAAE,MAAMO,GAAG,IAAI,iBAAiBD,aAAaC,aAAaA,OAAO,EAAEA,GAAGL,EAAEK,kCAAkCA,OAAOP,EAAE,MAAMO,KAAK,CAAC,CAAC,SAASk2B,GAAGz2B,EAAE,CAAC,IAAI,EAAE,CAAC,EAAEE,EAAE,EAAE,KAAKF,EAAE,GAAGA,EAAE,GAAG,EAAE,KAAKE,CAAC,EAAEF,GAAG,EAAEE,IAAI,OAAO,CAAC,CAAC,SAASo2B,GAAGt2B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEP,EAAE,OAAOO,IAAID,EAAEC,GAAG,KAAK,MAAM,EAAEA,GAAGP,EAAEO,IAAIL,EAAEK,EAAE,EAAE,OAAOD,CAAC,CAAC,SAAS22B,GAAGj3B,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAE,CAAC,GAAGP,CAAC,EAAE,QAAQ,EAAEO,EAAE,OAAO,EAAED,EAAE,OAAO,IAAIC,EAAE,KAAK,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEL,EAAE,IAAI,IAAI,EAAEK,EAAE,GAAG,GAAGA,EAAE,OAAO,EAAE,EAAE,CAAC,EAAEA,EAAE,IAAI,GAAG,OAAOA,CAAC,CAAC,SAAS62B,GAAGp3B,EAAE,EAAEE,EAAE,CAAC,OAAOA,GAAGF,EAAEE,EAAEA,GAAG,EAAE,EAAE,CAAC,SAASm3B,GAAGr3B,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAEN,EAAEM,IAAIJ,EAAE,KAAK,EAAEI,CAAC,EAAE,OAAOJ,CAAC,CAAC,SAASq2B,GAAGv2B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAE,CAAC,IAAIC,EAAEnC,EAAE,OAAO4C,EAAE,IAAI,MAAMT,CAAC,EAAEU,EAAE,IAAI,MAAMV,CAAC,EAAEW,EAAE,IAAI,MAAMX,CAAC,EAAE,GAAG,EAAE,QAAQjC,EAAE,EAAE,CAAC,IAAI6C,EAAE,EAAE,GAAGC,EAAE9C,EAAE,EAAE0C,EAAEi0B,GAAG,EAAE9zB,EAAEC,EAAE1C,EAAEN,CAAC,EAAE6C,EAAEk0B,GAAG90B,EAAEc,EAAEC,EAAEzC,EAAEP,CAAC,EAAE8C,EAAEm0B,GAAG,EAAEl0B,EAAEC,EAAEhD,CAAC,CAAC,KAAM,SAAQ+C,EAAE,EAAEA,EAAEZ,EAAEY,IAAIH,EAAEG,GAAG6zB,GAAG,EAAEt2B,EAAE,EAAEN,EAAE+C,EAAEb,CAAC,EAAEW,EAAEE,GAAG+zB,GAAG70B,EAAE1B,EAAE,EAAEP,EAAE+C,EAAEb,CAAC,EAAEY,EAAEC,GAAGi0B,GAAG,EAAEj0B,EAAEb,CAAC,EAAE,MAAM,CAAC,MAAMU,EAAE,IAAIC,EAAE,QAAQC,CAAC,CAAC,CAAC,SAAS+zB,GAAG72B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAE,CAAC,GAAGA,CAAC,EAAE,EAAE82B,GAAGn3B,EAAE,CAAC,EAAE,QAAQ+B,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,GAAG,EAAE,QAAQA,CAAC,EAAE,GAAG,EAAEA,GAAG,MAAM,CAAC,IAAIC,EAAEk1B,GAAG,EAAEl3B,EAAE+B,CAAC,EAAEE,EAAE7B,EAAE4B,GAAGlC,EAAE,GAAGkC,IAAIC,EAAE,GAAG,EAAEF,GAAGE,CAAC,CAAC,OAAO,CAAC,CAAC,SAAS40B,GAAG/2B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAE,CAAC,GAAGA,CAAC,EAAE,EAAE82B,GAAGn3B,EAAE,CAAC,EAAE,QAAQ+B,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,GAAG,EAAE,QAAQA,CAAC,EAAE,GAAG,EAAEA,GAAG,OAAO,qBAAqB,CAAC,IAAIC,EAAEk1B,GAAG,EAAEl3B,EAAE+B,CAAC,EAAEE,EAAE7B,EAAE4B,GAAGlC,EAAE,GAAGkC,IAAIC,EAAE,OAAO,kBAAkB,EAAEF,GAAGE,CAAC,CAAC,QAAQF,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,CAAC,IAAIC,EAAE3B,EAAE0B,GAAG,EAAEA,GAAG,IAAI,EAAEA,IAAIC,GAAG,EAAED,GAAGwV,GAAG,EAAE,EAAExV,GAAG1B,EAAE0B,EAAE,CAAC,CAAC,OAAO,CAAC,CAAC,SAAS+0B,GAAGh3B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,GAAG,OAAOE,EAAE,GAAG,GAAGI,GAAG,QAAQA,EAAE,GAAGA,CAAC,CAAC,SAASs2B,GAAG52B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAE,EAAEA,GAAG0B,EAAE/B,EAAEK,IAAI,GAAGP,EAAE,GAAGO,GAAG,EAAE,GAAGA,GAAG,GAAG,QAAQ0B,EAAE,EAAE,EAAE,OAAO,iBAAiB,EAAE,OAAO,kBAAkB,IAAIC,EAAE5B,EAAEC,GAAG,OAAO,EAAE,IAAI,GAAG2B,GAAG,EAAEuV,GAAG,EAAE,EAAEvV,EAAE,CAAC,EAAE,CAAC,CAAC,SAAS40B,GAAG92B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAE,EAAEA,GAAG0B,EAAE/B,EAAEK,IAAI,GAAGP,EAAE,GAAGO,GAAG,EAAE,GAAGA,GAAG,GAAG,QAAQ0B,EAAE,EAAE,EAAE,OAAO,iBAAiB,EAAE,OAAO,kBAAkB,IAAIC,EAAE5B,EAAEC,GAAG,OAAO,EAAE,IAAI,GAAG2B,GAAGD,EAAE,EAAE,EAAEwV,GAAG,EAAE,EAAEvV,CAAC,EAAE,EAAEuV,GAAG,GAAG,EAAEvV,EAAE,CAAC,EAAE,CAAC,CAAC,SAASs0B,GAAGx2B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEJ,EAAE,OAAO,QAAQK,EAAE,EAAEA,EAAEL,EAAE,OAAOK,IAAI,GAAGL,EAAEK,GAAG,EAAE,CAACD,EAAEC,EAAE,KAAK,CAAC,QAAQA,EAAED,EAAE,EAAEC,EAAEL,EAAE,OAAOK,IAAI,GAAG,EAAEA,GAAG,GAAGL,EAAEK,KAAKP,EAAEO,GAAG,MAAM,GAAG,MAAM,EAAE,CAAC,SAAS81B,GAAGr2B,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,OAAO,EAAEA,EAAEA,EAAE,OAAO,GAAG,EAAE,QAAQM,EAAE,EAAEA,EAAEN,EAAE,OAAO,EAAEM,IAAIJ,GAAGF,EAAEM,GAAG,EAAEA,GAAG,OAAOJ,CAAC,CAAC,SAASw2B,GAAG12B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEC,EAAEP,EAAE,MAAM,OAAO,OAAO,GAAG,SAASM,EAAE,CAAC,EAAE,GAAG,IAAI,MAAMC,EAAE,CAAC,EAAE,KAAK,CAAC,CAAC,EAAE,EAAE,OAAOA,EAAED,EAAE,EAAE,OAAO,IAAI,MAAMC,EAAE,EAAE,MAAM,EAAE,KAAK,CAAC,CAAC,EAAED,EAAE,EAAE,MAAM,EAAEA,EAAE,QAAQ,GAAG,CAACwX,EAAE,IAAI,GAAG,IAAI,mDAAmD,CAAC,CAAC,EAAE,IAAI,EAAE,OAAO5X,GAAG,KAAK,EAAE,IAAI,MAAMK,CAAC,EAAE,KAAK,EAAE,EAAE,OAAOL,GAAG,SAAS,EAAE,CAACA,EAAE,GAAG,IAAI,MAAMK,EAAE,CAAC,EAAE,KAAK,EAAE,CAAC,EAAEL,EAAE,OAAOK,EAAE,EAAEL,EAAE,OAAO,IAAI,MAAMK,EAAEL,EAAE,MAAM,EAAE,KAAK,EAAE,CAAC,EAAE,EAAEA,EAAE,EAAE,EAAE,IAAI,CAAC,EAAE+B,IAAI,GAAG,EAAE,GAAG6V,EAAE,IAAI,GAAG,IAAI,qDAAqD,mCAAmC7V,IAAI,EAAEjC,EAAE,MAAMiC,GAAG3B,EAAE2B,GAAG,EAAE,CAAC3B,EAAE,CAAC,CAAC,CAAC,SAASq2B,GAAG32B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAE,CAAC,IAAIC,EAAE,GAAG7B,GAAG,MAAM6B,EAAE,IAAI,MAAM,EAAE,MAAM,EAAEA,EAAE,KAAK,CAAC,GAAGA,EAAE7B,EAAE,GAAG,OAAO,EAAE,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,4CAA4C,EAAE,IAAIsC,EAAE,GAAGC,EAAE,CAAC,KAAKV,EAAE,OAAO,wBAAwB,EAAE,MAAM,EAAE,MAAM,EAAE,IAAIjC,EAAE,MAAM,EAAE,QAAQiC,EAAE,MAAM,EAAE,UAAU5B,EAAE,QAAQ,EAAE,aAAa,EAAE,YAAY0B,EAAE,eAAeC,CAAC,EAAE,QAAQyC,EAAE,EAAEA,EAAE9B,EAAE,KAAK8B,IAAI/B,IAAI,GAAG+B,EAAE1C,KAAK,GAAGY,EAAE,0BAA0B,GAAG8B,EAAE,IAAI/B,EAAE,IAAIA,IAAIC,EAAE,cAAc,GAAGA,EAAE,KAAKA,EAAE,QAAQ,IAAIC,EAAE,CAAC,KAAK9C,EAAE,OAAO,UAAU,EAAE,QAAQ,EAAE,WAAW,GAAG,SAAS,EAAE,EAAEs3B,GAAGz0B,EAAEC,CAAC,EAAE,IAAIC,EAAE,GAAGC,EAAE,GAAGkB,EAAE,GAAG,EAAE,CAAC,EAAEqD,EAAE,CAAC,EAAE,QAAQ5C,EAAE,EAAEA,EAAE3E,EAAE,OAAO,EAAE2E,EAAE,CAAC,GAAG7B,EAAE,QAAQ6B,KAAK,EAAE,MAAM,MAAM,WAAWA,qBAAqB,EAAE,IAAIC,EAAE,CAAC,EAAE9B,EAAE,eAAe,GAAG6B,GAAGE,EAAE7E,EAAE2E,GAAG,GAAGE,IAAI,GAAG,CAAC,EAAE,KAAKD,EAAE,EAAE,EAAE,EAAE,QAAQ,CAAC,IAAIE,EAAE,CAAChC,EAAE,UAAU,GAAG6B,EAAE7B,EAAE,QAAQ,GAAG6B,CAAC,EAAE6C,EAAE,CAAC1E,EAAE,QAAQ6B,GAAG,EAAE,EAAE,GAAG7B,EAAE,QAAQ6B,GAAG,EAAEE,EAAEA,EAAE,CAAC,EAAE,GAAGD,GAAG9B,EAAE,QAAQ6B,IAAI,EAAE,MAAM,MAAM,8CAA8C,EAAET,EAAEA,GAAGpB,EAAE,QAAQ6B,KAAK,EAAE,IAAIK,EAAE,CAAC,EAAElC,EAAE,UAAU,GAAG6B,GAAG7B,EAAE,QAAQ,GAAG6B,GAAG,GAAG7B,EAAE,YAAYA,EAAE,SAAS,CAAC,GAAG8B,EAAE,CAAC,IAAIO,EAAErC,EAAE,MAAM6B,GAAG,EAAEE,EAAE/B,EAAE,MAAM6B,GAAG7B,EAAE,MAAM6B,GAAG,GAAG7B,EAAE,MAAM6B,GAAGQ,EAAErC,EAAE,IAAI6B,GAAG7B,EAAE,MAAM6B,GAAG,EAAEQ,EAAE,GAAGA,GAAGN,EAAE,MAAM,MAAM,eAAe/B,EAAE,MAAM6B,mBAAmBA,kBAAkB,CAAC,MAAM7B,EAAE,MAAM6B,GAAG4yB,GAAGz0B,EAAE,MAAM6B,GAAG,EAAE7B,EAAE,QAAQ6B,GAAGE,EAAEC,EAAE0C,CAAC,EAAE1E,EAAE,IAAI6B,GAAG4yB,GAAGz0B,EAAE,IAAI6B,GAAG,EAAE7B,EAAE,QAAQ6B,GAAGE,EAAEC,EAAE0C,CAAC,EAAE,IAAItC,EAAEpC,EAAE,QAAQ6B,KAAK,GAAG7B,EAAE,MAAM6B,KAAK,GAAG7B,EAAE,IAAI6B,KAAKE,EAAE9B,EAAEA,GAAGmC,EAAElC,EAAEA,IAAI2B,IAAI,GAAG7B,EAAE,QAAQ6B,KAAK,GAAGO,EAAE,MAAMnC,EAAEA,GAAGD,EAAE,QAAQ6B,KAAK,GAAGK,EAAEhC,EAAEA,IAAI2B,IAAI,GAAG7B,EAAE,QAAQ6B,KAAK,GAAGK,GAAG,IAAIyC,EAAExC,EAAE,GAAG,GAAGnC,EAAE,YAAYA,EAAE,UAAU2E,EAAE3E,EAAE,IAAI6B,GAAG7B,EAAE,MAAM6B,GAAGM,EAAE,IAAIL,GAAG6C,EAAE,EAAExC,EAAE,IAAID,GAAGH,GAAG,IAAI/B,EAAE,QAAQ6B,GAAG,EAAE8C,EAAE,CAAC5C,EAAE4C,EAAE5C,EAAEI,EAAE,IAAIA,EAAE,CAAC,IAAIC,EAAEuC,IAAI,GAAGA,EAAE,GAAG3E,EAAE,QAAQ6B,GAAG,EAAEO,EAAE,EAAEA,EAAE,KAAK,MAAMuC,EAAE3E,EAAE,QAAQ6B,EAAE,GAAG8C,EAAE3E,EAAE,QAAQ6B,KAAK,EAAE,EAAE,GAAG,EAAE,KAAKO,CAAC,CAAC,MAAM,EAAE,KAAK,EAAE,CAAC,CAAC,QAAQP,EAAE,EAAEA,EAAE7B,EAAE,wBAAwB,OAAO,EAAE6B,EAAE,CAAC,IAAIC,EAAE9B,EAAE,wBAAwB6B,GAAGC,GAAG,EAAE2C,EAAE,KAAK,EAAE3C,EAAE,EAAEA,IAAIsyB,IAAI3vB,EAAE,KAAK,CAAC,CAAC,CAAC,MAAM,CAAC,iBAAiBA,EAAE,OAAO,CAAC5C,EAAEC,IAAI9B,EAAE,wBAAwB8B,KAAKsyB,EAAE,EAAE,WAAW3vB,EAAE,WAAWxE,EAAE,UAAUC,EAAE,cAAckB,EAAE,MAAMpB,EAAE,MAAM,IAAIA,EAAE,IAAI,QAAQA,EAAE,OAAO,CAAC,CAAC,SAASw0B,GAAGt3B,EAAE,EAAE,CAAC,EAAE,UAAU,EAAE,EAAE,QAAQ,EAAE,EAAE,eAAe,EAAE,IAAIE,EAAE,EAAE,EAAE,WAAWF,EAAE,OAAO,KAAK,EAAE,SAASA,EAAE,KAAK,KAAK,EAAE,MAAM,IAAI,MAAM,EAAE,IAAI,EAAE,EAAE,IAAI,IAAI,MAAM,EAAE,IAAI,EAAE,EAAE,QAAQ,IAAI,MAAM,EAAE,IAAI,EAAE,EAAE,wBAAwB,CAAC,EAAE,EAAE,8BAA8B,CAAC,EAAE,EAAE,8BAA8B,IAAI,MAAM,EAAE,IAAI,EAAE,QAAQM,EAAE,EAAEA,EAAEN,EAAE,KAAKM,IAAI,GAAG,GAAGA,EAAEN,EAAE,aAAa,CAAC,IAAIO,EAAE,KAAK,IAAI,EAAE,MAAMP,EAAE,KAAKM,GAAG,EAAEN,EAAE,wBAAwB,EAAE,IAAI,EAAE,KAAKE,EAAEK,EAAEL,IAAI,EAAE,MAAMA,GAAG,EAAE,EAAE,IAAIA,GAAG,EAAE,EAAE,QAAQA,GAAG,EAAE,EAAE,WAAW,GAAGA,EAAE,EAAE,SAAS,GAAGA,EAAE,EAAE,wBAAwB,KAAKA,CAAC,EAAE,EAAE,8BAA8B,KAAK,EAAE,EAAE,EAAE,8BAA8BA,GAAGI,CAAC,SAAS,GAAGA,EAAEN,EAAE,YAAY,EAAE,wBAAwB,KAAKk3B,EAAE,EAAE,EAAE,8BAA8B,KAAK,EAAE,MAAM,CAAC,GAAGh3B,IAAI,EAAE,MAAM,OAAO,MAAM,MAAM,sCAAsCA,qBAAqB,EAAE,cAAc,EAAE,MAAM,SAAS,EAAEF,EAAE,OAAO,OAAO,EAAE,MAAME,GAAGF,EAAE,MAAMM,IAAIN,EAAE,KAAK,OAAO,EAAE,IAAIE,GAAGF,EAAE,IAAIM,IAAI,EAAE,QAAQJ,GAAGF,EAAE,QAAQM,GAAGN,EAAE,UAAU,GAAGM,IAAI,EAAE,WAAW,GAAGJ,GAAGF,EAAE,QAAQ,GAAGM,IAAI,EAAE,SAAS,GAAGJ,GAAGF,EAAE,eAAe,GAAGM,GAAG,EAAE,wBAAwB,KAAK62B,EAAE,EAAE,EAAE,8BAA8B,KAAK,EAAE,EAAE,EAAE,gBAAgB,GAAGj3B,IAAI,EAAE,wBAAwB,KAAKA,CAAC,EAAE,EAAE,8BAA8B,KAAKI,CAAC,GAAG,EAAE,8BAA8BJ,GAAGI,EAAEJ,GAAG,CAAC,CAAC,SAASq3B,GAAGv3B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,GAAGA,EAAE,GAAG,OAAOL,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,EAAE,GAAG,CAAC,IAAI,EAAEF,EAAE,EAAEM,EAAEN,EAAEA,EAAE,OAAO,EAAE,EAAE,GAAG,EAAE,GAAG,EAAE,EAAE,GAAG,EAAE,GAAG,CAAC,CAAC,CAAC,IAAIw3B,GAAE,CAAC,EAAEp3B,GAAGo3B,GAAE,CAAC,aAAa,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,cAAc,IAAIC,EAAE,CAAC,EAAE,IAAIF,GAAG,KAAK,CAAC,cAAc,CAAC,OAAO,KAAK,YAAY,SAAS,CAAC,OAAO,WAAW32B,EAAEZ,EAAE,CAAC,OAAO,IAAIY,EAAEZ,CAAC,CAAC,CAAC,EAAEw3B,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,aAAa,CAAC,CAAC,CAAC,OAAO,QAAQ,CAAC,OAAOA,GAAG,UAAU,OAAOA,GAAG,SAAS,IAAIA,IAAIA,GAAG,QAAQ,CAAC,OAAO,SAAS52B,EAAE,CAAC42B,GAAG,OAAO,EAAE,aAAa52B,EAAE,WAAW,CAACA,EAAEA,EAAE,UAAU,CAAC,CAAC,EAAE,SAAS62B,GAAG33B,EAAE,CAAC8X,EAAE9X,EAAE,WAAW,KAAK,IAAI,6EAA6E,EAAE8X,EAAE,OAAO9X,EAAE,WAAW,SAAS,IAAI,sDAAsD,OAAOA,EAAE,SAAS,EAAE8X,EAAE9X,EAAE,UAAU,OAAO,EAAE,IAAI,mFAAmF,EAAE03B,GAAG,SAAS13B,CAAC,CAAC,CAAC,IAAI43B,GAAG,CAAC,EAAEx3B,GAAGw3B,GAAG,CAAC,qBAAqB,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,cAAc,IAAIC,GAAG,wBAAwB,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,KAAK,IAAIC,GAAG,YAAY,IAAIC,EAAE,CAAC,EAAE,IAAIC,GAAG,KAAKX,GAAG,GAAG,SAASI,GAAGj4B,EAAE,EAAEE,EAAE,CAAC,OAAOA,GAAG,OAAOA,EAAEq4B,GAAG,GAAGE,GAAGz4B,EAAE,EAAE,CAACM,EAAEC,IAAIm4B,GAAGp4B,EAAEC,EAAEL,CAAC,CAAC,CAAC,CAAC,SAASq4B,IAAI,CAAC,OAAOtN,EAAE,QAAQ,eAAe,IAAI,GAAGuN,GAAGX,EAAE,CAAC,SAASY,GAAGz4B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,GAAG,IAAI6X,GAAGnY,CAAC,GAAGmY,GAAG,CAAC,KAAK7X,EAAE,IAAI6X,GAAGnY,CAAC,GAAGmY,GAAG,CAAC,IAAI7X,EAAE,IAAIA,EAAE,CAAC,IAAI,EAAEN,EAAE,YAAY,KAAKiC,EAAE,EAAE,YAAY,KAAK,GAAG,IAAIA,EAAE,MAAM,IAAI,MAAM,yCAAyC,gBAAgBA,GAAG,CAAC,CAAC,GAAG,MAAM,QAAQjC,CAAC,GAAG,MAAM,QAAQ,CAAC,EAAE,CAAC,IAAI,EAAE4rB,GAAG5rB,CAAC,EAAEiC,EAAE2pB,GAAG,CAAC,EAAE,GAAG,CAAC5T,GAAG,EAAE/V,CAAC,EAAE,MAAM,IAAI,MAAM,0CAA0C,kBAAkBA,IAAI,CAAC,CAAC,IAAI1B,EAAE4X,GAAGnY,CAAC,EAAEA,EAAEkY,GAAGlY,CAAC,EAAE,EAAEmY,GAAG,CAAC,EAAE,EAAED,GAAG,CAAC,EAAE,GAAG3X,EAAE,SAAS,EAAE,OAAO,MAAM,IAAI,MAAM,yCAAyCA,EAAE,uBAAuB,EAAE;AAAA,YACjquBA;AAAA,YACA,IAAI,EAAE,QAAQ,EAAE,EAAE,EAAE,EAAE,OAAO,EAAE,EAAE,CAAC,IAAI0B,EAAE1B,EAAE,GAAG2B,EAAE,EAAE,GAAG,GAAG,CAAChC,EAAE+B,EAAEC,CAAC,EAAE,MAAM,IAAI,MAAM,yBAAyB,QAAQD,eAAe,QAAQC;AAAA,YACvI3B;AAAA,YACA,IAAI,CAAC,CAAC,OAAO,QAAQ,aAAa,OAAO,EAAE,QAAQ,CAAC,CAAC,SAAS63B,GAAGp4B,EAAE,EAAE,CAACA,EAAE,EAAE,KAAK,IAAI,EAAE,KAAK,EAAE,IAAI,EAAE,CAAC,EAAE,OAAO,QAAQ,aAAa,OAAO,EAAE,QAAQ,CAAC,CAAC,SAASk4B,GAAGl4B,EAAE,EAAE,CAAC,IAAIE,EAAE,OAAO,GAAG,UAAU,OAAO,GAAG,UAAU,OAAO,GAAG,UAAU,CAAC,CAAC,EAAE,EAAE,OAAOoZ,GAAGtZ,CAAC,GAAGsZ,GAAGtZ,EAAE,EAAE,GAAGsZ,GAAG,CAAC,GAAGA,GAAG,EAAE,EAAE,EAAEmf,GAAGz4B,EAAEE,EAAE,CAACI,EAAEC,IAAID,GAAGC,CAAC,EAAEk4B,GAAGz4B,EAAE,EAAE,CAACM,EAAEC,IAAIm4B,GAAGp4B,EAAEC,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS43B,GAAGn4B,EAAE,EAAEE,EAAE,CAAC,GAAGA,GAAG,OAAOA,EAAEq4B,GAAG,GAAG,CAACG,GAAG14B,EAAE,EAAEE,CAAC,EAAE,MAAM,IAAI,MAAM,8BAA8BF,mBAAmB,GAAG,EAAE,OAAO,QAAQ,aAAa,OAAO,EAAE,QAAQ,CAAC,CAAC,SAAS04B,GAAG14B,EAAE,EAAEE,EAAE,CAAC,MAAM,CAAC,SAASF,CAAC,GAAG,CAAC,SAAS,CAAC,EAAE,GAAG,EAAE,MAAMA,CAAC,GAAG,MAAM,CAAC,GAAG,KAAK,IAAIA,EAAE,CAAC,EAAEE,EAAE,CAAC,SAASm4B,GAAGr4B,EAAE,EAAEE,EAAE,CAAC,QAAQI,EAAE,EAAEA,EAAEN,EAAE,OAAOM,IAAI,GAAGN,EAAEM,GAAG,GAAGN,EAAEM,GAAGJ,EAAE,MAAM,IAAI,MAAM,sBAAsBF,EAAEM,WAAW,YAAYJ,GAAG,CAAC,CAAC,SAAS83B,GAAGh4B,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,aAAaF,CAAC,EAAEM,EAAE,IAAI,aAAa,CAAC,EAAE,GAAGJ,EAAE,SAASI,EAAE,OAAO,MAAM,IAAI,MAAM,wCAAwCA,EAAE,sBAAsBJ,EAAE,QAAQ,EAAE,QAAQK,EAAE,EAAEA,EAAED,EAAE,OAAOC,IAAI,GAAGL,EAAEK,KAAKD,EAAEC,GAAG,MAAM,IAAI,MAAM,iCAAiCA,WAAWD,EAAEC,cAAcL,EAAEK,YAAY,CAAC,CAAC,SAASw3B,GAAG/3B,EAAE,CAAC,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,IAAI,CAAC,IAAIE,EAAEF,EAAE,GAAG,MAAM,QAAQE,CAAC,EAAE63B,GAAG73B,CAAC,EAAEF,EAAE,GAAGgnB,GAAG9mB,CAAC,CAAC,CAAC,OAAOF,CAAC,CAAC,SAAS83B,GAAG93B,EAAE,CAAC,IAAI,EAAE,SAAS,cAAc,OAAO,EAAE,MAAM,gBAAgB,IAAI,EAAE,YAAY,IAAI,EAAE,MAAM,GAAG,EAAE,KAAK,GAAG,EAAE,MAAM,SAAS,QAAQ,EAAE,MAAM,KAAK,MAAM,EAAE,MAAM,IAAI,MAAM,EAAE,QAAQ,OAAO,EAAE,YAAYA,CAAC,EAAE,IAAI,QAAQE,GAAG,CAAC,EAAE,iBAAiB,aAAaI,GAAGJ,EAAE,CAAC,CAAC,EAAE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,eAAeo4B,GAAGt4B,EAAE,CAAC,MAAMA,EAAE,KAAK,EAAE,8BAA8BA,GAAG,MAAM,IAAI,QAAQ,GAAG,CAACA,EAAE,0BAA0B,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI24B,GAAG,SAAS,SAASC,GAAG54B,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,KAAK,EAAEM,EAAEyrB,EAAE,EAAE,IAAI,KAAK,EAAE,CAAC7rB,EAAEI,CAAC,EAAE6pB,GAAGjqB,EAAEI,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO2qB,EAAE,UAAU5P,GAAG9a,CAAC,CAAC,CAAC,IAAIs4B,EAAE3M,EAAE,CAAC,KAAK0M,EAAE,CAAC,EAAE,SAASE,GAAG94B,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,UAAU,EAAEM,EAAEyrB,EAAE,EAAE,IAAI,UAAU,EAAE,CAAC7rB,EAAEI,CAAC,EAAE6pB,GAAGjqB,EAAEI,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO2qB,EAAE,UAAUjM,GAAGze,CAAC,CAAC,CAAC,IAAIw4B,GAAG7M,EAAE,CAAC,UAAU4M,EAAE,CAAC,EAAE,SAASE,GAAGh5B,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,KAAK,EAAEM,EAAEyrB,EAAE,EAAE,IAAI,KAAK,EAAE,GAAG,CAAC7rB,EAAEI,CAAC,EAAE6pB,GAAGjqB,EAAEI,CAAC,EAAEJ,EAAE,QAAQ,SAASI,EAAE,QAAQ,QAAQ,OAAOy4B,GAAG74B,EAAEI,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,EAAE,CAAC,EAAE,OAAO2qB,EAAE,UAAU9M,GAAG5d,EAAE,CAAC,CAAC,CAAC,IAAI04B,GAAG/M,EAAE,CAAC,KAAK8M,EAAE,CAAC,EAAE,SAASE,GAAGl5B,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,KAAK,EAAEM,EAAEyrB,EAAE,EAAE,IAAI,KAAK,EAAE,CAAC7rB,EAAEI,CAAC,EAAE6pB,GAAGjqB,EAAEI,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO2qB,EAAE,UAAU1J,GAAGhhB,CAAC,CAAC,CAAC,IAAI44B,EAAEjN,EAAE,CAAC,KAAKgN,EAAE,CAAC,EAAE,SAASE,GAAGp5B,EAAE,CAAC,IAAI,EAAE+rB,EAAE/rB,EAAE,IAAI,KAAK,EAAE,GAAG,EAAE,QAAQ,YAAY,CAAC,IAAIE,EAAE,CAAC,EAAE,CAAC,EAAE,OAAO+qB,EAAE,UAAUpO,GAAG3c,CAAC,CAAC,KAAK,CAAC,IAAIA,EAAE,CAAC,EAAE,CAAC,EAAE,OAAO+qB,EAAE,UAAU/P,GAAGhb,CAAC,CAAC,CAAC,CAAC,IAAIm5B,GAAGnN,EAAE,CAAC,KAAKkN,EAAE,CAAC,EAAE,SAASE,GAAGt5B,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,MAAM,CAAC,EAAE,OAAOirB,EAAE,UAAU9P,GAAGjb,CAAC,CAAC,CAAC,IAAIq5B,GAAGrN,EAAE,CAAC,MAAMoN,EAAE,CAAC,EAAE,SAASE,GAAGx5B,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,OAAO,CAAC,EAAE,OAAOirB,EAAE,UAAU7P,GAAGlb,CAAC,CAAC,CAAC,IAAIu5B,GAAGvN,EAAE,CAAC,OAAOsN,EAAE,CAAC,EAAE,SAASE,GAAG15B,EAAE,CAAC8X,EAAE,MAAM,QAAQ9X,CAAC,EAAE,IAAI,4DAA4D,EAAE8X,EAAE9X,EAAE,QAAQ,EAAE,IAAI,uDAAuDA,EAAE,QAAQ,EAAE,IAAI,EAAEA,EAAE,IAAI,CAACO,EAAE,IAAIwrB,EAAExrB,EAAE,UAAU,IAAI,MAAM,CAAC,EAAEL,EAAE,EAAE,GAAG,EAAE,QAAQK,GAAG,CAAC,GAAGA,EAAE,QAAQL,EAAE,MAAM,MAAM,IAAI,MAAM,0DAA0D,CAAC,CAAC,EAAE,EAAE,QAAQK,GAAG,CAAC,GAAG,CAACyX,GAAGzX,EAAE,MAAML,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,0DAA0D,CAAC,CAAC,EAAE,IAAII,EAAE,EAAE,OAAO2qB,EAAE,UAAU3P,GAAGhb,CAAC,CAAC,CAAC,IAAIq5B,GAAGzN,EAAE,CAAC,MAAMwN,EAAE,CAAC,EAAE,SAASE,GAAG55B,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAIK,EAAE,CAAC,EAAEwrB,EAAE/rB,EAAE,IAAI,MAAM,MAAM,CAAC,EAAE+B,EAAE,CAAC,KAAK,EAAE,SAAS7B,CAAC,EAAE,OAAO+qB,EAAE,UAAU1P,GAAGhb,EAAEwB,CAAC,CAAC,CAAC,IAAI83B,GAAG3N,EAAE,CAAC,KAAK0N,EAAE,CAAC,EAAE,SAASE,GAAG95B,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAIK,EAAE,CAAC,EAAEwrB,EAAE/rB,EAAE,IAAI,MAAM,MAAM,CAAC,EAAE+B,EAAE,CAAC,KAAK,EAAE,SAAS7B,CAAC,EAAE,OAAO+qB,EAAE,UAAUzP,GAAGjb,EAAEwB,CAAC,CAAC,CAAC,IAAIg4B,GAAG7N,EAAE,CAAC,KAAK4N,EAAE,CAAC,EAAE,SAASE,GAAGh6B,EAAE,EAAE,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE+rB,EAAE/rB,EAAE,IAAI,QAAQ,CAAC,EAAEO,EAAE,CAAC,KAAK,CAAC,EAAE,OAAO0qB,EAAE,UAAUxP,GAAG,EAAElb,CAAC,CAAC,CAAC,IAAI05B,GAAG/N,EAAE,CAAC,QAAQ8N,EAAE,CAAC,EAAE,SAASE,GAAGl6B,EAAE,EAAE,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE+rB,EAAE/rB,EAAE,IAAI,QAAQ,CAAC,EAAEO,EAAE,CAAC,KAAK,CAAC,EAAE,OAAO0qB,EAAE,UAAUvP,GAAG,EAAEnb,CAAC,CAAC,CAAC,IAAI45B,GAAGjO,EAAE,CAAC,QAAQgO,EAAE,CAAC,EAAE,SAASE,GAAGp6B,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,MAAM,CAAC,EAAE,OAAOirB,EAAE,UAAUtP,GAAGzb,CAAC,CAAC,CAAC,IAAIm6B,GAAGnO,EAAE,CAAC,MAAMkO,EAAE,CAAC,EAAE,SAASE,GAAGt6B,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,OAAO,CAAC,EAAE,OAAOirB,EAAE,UAAUrP,GAAG1b,CAAC,CAAC,CAAC,IAAIq6B,GAAGrO,EAAE,CAAC,OAAOoO,EAAE,CAAC,EAAE,SAASE,GAAGx6B,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,MAAM,CAAC,EAAE,OAAOirB,EAAE,UAAUpP,GAAG3b,CAAC,CAAC,CAAC,IAAIu6B,GAAGvO,EAAE,CAAC,MAAMsO,EAAE,CAAC,EAAE,SAASE,GAAG16B,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,OAAO,EAAEM,EAAEyrB,EAAE,EAAE,IAAI,OAAO,EAAE,CAAC7rB,EAAEI,CAAC,EAAE6pB,GAAGjqB,EAAEI,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO2qB,EAAE,UAAUlP,GAAGxb,CAAC,CAAC,CAAC,IAAIo6B,GAAGzO,EAAE,CAAC,OAAOwO,EAAE,CAAC,EAAE,SAASE,GAAG56B,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,OAAO,CAAC,EAAE,OAAOirB,EAAE,UAAUnP,GAAG5b,CAAC,CAAC,CAAC,IAAI26B,GAAG3O,EAAE,CAAC,OAAO0O,EAAE,CAAC,EAAE,SAASE,GAAG96B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,OAAO,EAAE,CAAC,IAAI,EAAEP,EAAE,GAAGiC,EAAE,CAAC,GAAG,EAAE,CAAC,EAAEC,EAAE64B,GAAGx6B,CAAC,EAAE,OAAOy6B,GAAGh7B,EAAEiC,EAAE/B,EAAE,EAAEI,EAAE,KAAK,KAAK4B,CAAC,CAAC,CAAC,SAAS+4B,GAAGj7B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE,eAAe,CAAC,GAAG,CAAC0B,EAAEC,CAAC,EAAEg5B,GAAG,CAAC,EAAE/4B,EAAE,GAAG,IAAI,eAAeA,EAAE,CAACF,EAAEC,EAAElC,EAAE,GAAGA,EAAE,EAAE,UAAU,IAAI,gBAAgBmC,EAAE,CAACF,EAAEC,EAAElC,EAAE,GAAGA,EAAE,EAAE,MAAO,OAAM,IAAI,MAAM,sBAAsB,GAAG,EAAE,OAAOg7B,GAAGh7B,EAAEmC,EAAEjC,EAAEI,EAAEC,EAAE,EAAE,GAAG,CAAC,CAAC,CAAC,SAAS46B,GAAGn7B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE,QAAQ,CAAC,GAAG,CAAC0B,EAAEC,EAAEC,CAAC,EAAEi5B,GAAG,CAAC,EAAEx4B,EAAEC,EAAE,GAAG,IAAI,QAAQA,EAAE,eAAeD,EAAE,CAACX,EAAEC,EAAEC,EAAEnC,EAAE,GAAGA,EAAE,EAAE,UAAU,IAAI,QAAQ6C,EAAE,gBAAgBD,EAAE,CAACX,EAAEC,EAAEC,EAAEnC,EAAE,GAAGA,EAAE,EAAE,MAAO,OAAM,IAAI,MAAM,sBAAsB,GAAG,EAAE,OAAOq7B,GAAGr7B,EAAE4C,EAAE1C,EAAEI,EAAEC,EAAE,GAAGsC,EAAE,CAAC,CAAC,CAAC,SAASm4B,GAAGh7B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE,GAAG0B,EAAE,eAAe,CAAC,GAAG,CAACC,EAAEC,EAAES,EAAEC,CAAC,EAAE,CAAC,GAAG,GAAG,GAAG,EAAE,EAAE,GAAGZ,IAAI,eAAe,CAACC,EAAEC,EAAES,EAAEC,CAAC,EAAE7C,UAAUiC,IAAI,gBAAgB,CAACC,EAAEW,EAAEV,EAAES,CAAC,EAAE5C,MAAO,OAAM,IAAI,MAAM,sBAAsBiC,GAAG,EAAE,GAAG,CAACa,EAAEC,EAAE,CAACC,CAAC,EAAE,EAAE,CAACkB,EAAE,CAAC,EAAEg3B,GAAGh7B,CAAC,EAAE,CAACqH,EAAExC,CAAC,EAAEm2B,GAAG56B,CAAC,EAAEqE,EAAE22B,GAAGx4B,EAAEyE,CAAC,EAAE3C,EAAE02B,GAAGv4B,EAAEgC,CAAC,EAAE,CAAC,QAAQF,EAAE,UAAUC,EAAE,SAAS0C,CAAC,EAAE+zB,GAAGh7B,EAAE4B,EAAES,EAAEsB,EAAE,EAAES,EAAEC,EAAE,EAAE3C,CAAC,EAAE+C,EAAE,EAAEhC,EAAEH,EAAEG,EAAEyE,EAAE,OAAOxF,IAAI,gBAAgBwF,EAAE,CAACvF,EAAE8C,EAAEF,EAAE0C,CAAC,EAAEvF,IAAI,iBAAiBwF,EAAE,CAACvF,EAAE4C,EAAE0C,EAAExC,CAAC,GAAG,CAAC,UAAU9C,EAAE,WAAWD,EAAE,SAASE,EAAE,QAAQS,EAAE,WAAWC,EAAE,UAAUiC,EAAE,SAAS0C,EAAE,YAAYxC,EAAE,QAAQH,EAAE,aAAaX,EAAE,YAAY,EAAE,aAAapB,EAAE,YAAYC,EAAE,sBAAsB4B,EAAE,qBAAqBC,EAAE,eAAe2C,EAAE,cAAcxC,EAAE,QAAQ/E,EAAE,SAASyH,EAAE,YAAY,CAAC,CAAC,CAAC,SAAS4zB,GAAGr7B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,GAAG,EAAE,eAAe0B,EAAE,CAAC,GAAG,CAACC,EAAEC,EAAES,EAAEC,EAAEC,CAAC,EAAE,CAAC,GAAG,GAAG,GAAG,GAAG,EAAE,EAAE,GAAG,IAAI,eAAe,CAACZ,EAAEC,EAAES,EAAEC,EAAEC,CAAC,EAAE9C,UAAU,IAAI,gBAAgB,CAACkC,EAAEY,EAAEX,EAAES,EAAEC,CAAC,EAAE7C,MAAO,OAAM,IAAI,MAAM,sBAAsB,GAAG,EAAE,GAAG,CAAC+C,EAAEC,EAAEkB,EAAE,CAAC,CAAC,EAAE,EAAE,CAACqD,EAAExC,EAAEJ,CAAC,EAAEy2B,GAAGl7B,CAAC,EAAE,CAAC0E,EAAEC,EAAEC,CAAC,EAAEs2B,GAAG96B,CAAC,EAAEkH,EAAE8zB,GAAGv4B,EAAE6B,CAAC,EAAEI,EAAEs2B,GAAGt4B,EAAE6B,CAAC,EAAE4C,EAAE6zB,GAAGp3B,EAAEY,CAAC,EAAE,CAAC,QAAQG,EAAE,SAASC,EAAE,UAAUC,EAAE,SAASC,CAAC,EAAEo2B,GAAGj7B,EAAE4B,EAAES,EAAEC,EAAE0E,EAAExC,EAAEJ,EAAE6C,EAAExC,EAAEyC,EAAExF,CAAC,EAAEoD,EAAE,EAAE,EAAEvC,EAAE,EAAEwC,EAAE,OAAO,IAAI,gBAAgBA,EAAE,CAACpD,EAAEmD,EAAEH,EAAEC,EAAEC,CAAC,EAAE,IAAI,iBAAiBE,EAAE,CAACpD,EAAEgD,EAAEC,EAAEC,EAAEC,CAAC,GAAG,CAAC,UAAUnD,EAAE,WAAW,EAAE,QAAQC,EAAE,SAASS,EAAE,QAAQC,EAAE,WAAWC,EAAE,SAASoC,EAAE,UAAUC,EAAE,SAASC,EAAE,YAAYC,EAAE,QAAQJ,EAAE,YAAYsC,EAAE,aAAaxC,EAAE,YAAYJ,EAAE,YAAY5B,EAAE,aAAaC,EAAE,YAAYkB,EAAE,qBAAqBsD,EAAE,sBAAsBxC,EAAE,qBAAqByC,EAAE,cAAc7C,EAAE,eAAeC,EAAE,cAAcC,EAAE,QAAQ9E,EAAE,SAASsF,EAAE,YAAY,CAAC,CAAC,CAAC,SAASm2B,GAAGz7B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAACD,GAAG,OAAOA,EAAEo7B,GAAG17B,EAAE,EAAEE,CAAC,GAAG,IAAI,EAAEF,EAAE,GAAG,EAAEA,EAAE,GAAGiC,EAAE05B,IAAI,EAAE,EAAE,EAAEr7B,GAAGJ,EAAE,EAAEK,CAAC,EAAE2B,EAAEy5B,IAAI,EAAE,EAAE,EAAEr7B,GAAGJ,EAAE,EAAEK,CAAC,EAAE,MAAM,CAAC0B,EAAEC,CAAC,CAAC,CAAC,SAAS05B,GAAG57B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAACA,GAAG,OAAOA,EAAEm7B,GAAG17B,EAAE,EAAEM,CAAC,GAAG,IAAI,EAAEN,EAAE,GAAGiC,EAAEjC,EAAE,GAAGkC,EAAElC,EAAE,GAAGmC,EAAEw5B,IAAI,EAAE,EAAE,EAAEp7B,GAAGD,EAAE,EAAE,CAAC,EAAEsC,EAAE+4B,IAAI15B,EAAE,EAAE,EAAE1B,GAAGD,EAAE,EAAE,CAAC,EAAEuC,EAAE84B,IAAIz5B,EAAE,EAAE,EAAE3B,GAAGD,EAAE,EAAE,CAAC,EAAE,MAAM,CAAC6B,EAAES,EAAEC,EAAE3C,CAAC,CAAC,CAAC,SAASw7B,GAAG17B,EAAE,EAAEE,EAAEI,EAAE,EAAE,CAAC,IAAIC,EAAE+6B,GAAG,EAAEh7B,CAAC,EAAE,OAAO,KAAK,OAAON,EAAE,IAAIE,EAAE,GAAGA,EAAEK,GAAG,CAAC,CAAC,CAAC,SAAS26B,GAAGl7B,EAAE,CAAC,OAAO,OAAOA,GAAG,SAAS,CAACA,EAAEA,EAAEA,CAAC,EAAEA,EAAE,SAAS,EAAE,CAACA,EAAE,GAAGA,EAAE,GAAG,CAAC,EAAEA,CAAC,CAAC,SAASo7B,GAAGp7B,EAAE,CAAC,OAAO,OAAOA,GAAG,SAAS,CAACA,EAAEA,EAAEA,CAAC,EAAEA,CAAC,CAAC,SAASs7B,GAAGt7B,EAAE,EAAE,CAAC,OAAO,GAAG,EAAEA,EAAEA,GAAGA,EAAE,IAAI,EAAE,EAAE,CAAC,SAASu7B,GAAGv7B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAE,CAAC,IAAIC,EAAES,EAAEC,EAAE,GAAG,OAAO7C,GAAG,SAAS,CAACmC,EAAE,CAAC,IAAInC,EAAE,OAAOA,EAAE,KAAKA,EAAE,MAAMA,EAAE,KAAKA,IAAI,EAAE,QAAQ,QAAQ,EAAE,IAAI+C,EAAE04B,GAAG,CAAC,EAAEv7B,CAAC,EAAE,EAAEI,EAAEN,EAAEiC,CAAC,EAAEW,EAAEG,EAAE,GAAGF,EAAEE,EAAE,EAAE,SAAS/C,IAAI,OAAO,CAAC4C,EAAE,KAAK,KAAK,EAAEtC,CAAC,EAAEuC,EAAE,KAAK,KAAK3C,EAAEK,CAAC,EAAE,IAAIuC,EAAE,KAAK,IAAI,GAAGF,EAAE,GAAGtC,EAAE,EAAE,CAAC,EAAEyC,EAAE,KAAK,IAAI,GAAGF,EAAE,GAAGtC,EAAE,EAAEL,CAAC,EAAE8C,EAAE,KAAK,MAAMF,EAAE,CAAC,EAAEoB,EAAEpB,EAAEE,EAAE,EAAE,KAAK,MAAMD,EAAE,CAAC,EAAEwE,EAAExE,EAAE,EAAEZ,EAAE,CAAC,IAAIa,EAAE,OAAOkB,EAAE,KAAK,EAAE,MAAMqD,EAAE,KAAK,MAAM,CAAC,SAASvH,IAAI,QAAQmC,EAAE,CAAC,IAAI,EAAE,OAAO,EAAE,KAAK,EAAE,MAAM,EAAE,KAAK,OAAO,EAAES,EAAE,KAAK,MAAM,EAAE,EAAE,GAAGtC,CAAC,EAAEuC,EAAE,KAAK,MAAM3C,EAAE,EAAE,GAAGK,CAAC,UAAU,OAAOP,GAAG,SAAS,CAAC,IAAI8C,EAAEZ,IAAI,eAAelC,EAAE,GAAG,GAAGA,EAAE,GAAG,GAAG+C,EAAEb,IAAI,eAAelC,EAAE,GAAG,GAAGA,EAAE,GAAG,GAAGgD,EAAEd,IAAI,eAAelC,EAAE,GAAG,GAAGA,EAAE,GAAG,GAAGkE,EAAEhC,IAAI,eAAelC,EAAE,GAAG,GAAGA,EAAE,GAAG,GAAGmC,EAAE,CAAC,IAAIW,EAAE,OAAOC,EAAE,KAAKC,EAAE,MAAMkB,EAAE,KAAKpB,IAAI,GAAGC,IAAI,GAAGC,IAAI,GAAGkB,IAAI,EAAE,QAAQ,UAAU,EAAEtB,EAAE+4B,IAAI,EAAE,EAAE74B,EAAEC,GAAGzC,EAAE,EAAE2B,CAAC,EAAEY,EAAE84B,IAAIz7B,EAAE,EAAE8C,EAAEkB,GAAG3D,EAAE,EAAE0B,CAAC,CAAC,KAAM,OAAM,MAAM,8BAA8BjC,GAAG,EAAE,MAAM,CAAC,QAAQmC,EAAE,UAAUS,EAAE,SAASC,CAAC,CAAC,CAAC,SAAS24B,GAAGx7B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAE,CAAC,IAAIC,EAAEC,EAAEC,EAAEC,EAAE,GAAG,OAAOhD,GAAG,SAAS,CAAC6C,EAAE,CAAC,IAAI7C,EAAE,OAAOA,EAAE,KAAKA,EAAE,MAAMA,EAAE,MAAMA,EAAE,KAAKA,EAAE,KAAKA,IAAI,EAAE,QAAQ,QAAQ,EAAE,IAAImE,EAAEy3B,GAAG,CAAC,EAAE17B,EAAEI,EAAE,CAAC,EAAE2B,EAAE,EAAE1B,EAAEP,EAAE4C,CAAC,EAAEE,EAAEqB,EAAE,GAAGpB,EAAEoB,EAAE,GAAGnB,EAAEmB,EAAE,EAAE,SAASnE,IAAI,OAAO,CAAC8C,EAAE,KAAK,KAAK,EAAEvC,CAAC,EAAEwC,EAAE,KAAK,KAAK7C,EAAE,CAAC,EAAE8C,EAAE,KAAK,KAAK1C,EAAE,CAAC,EAAE,IAAI4D,GAAGpB,EAAE,GAAGvC,EAAE0B,EAAE,EAAE,GAAGc,EAAE,GAAG,EAAEb,EAAEhC,EAAEqH,GAAGvE,EAAE,GAAG,EAAEb,EAAE7B,EAAEyE,EAAE,KAAK,MAAMb,EAAE,CAAC,EAAES,EAAET,EAAEa,EAAEH,EAAE,KAAK,MAAM,EAAE,CAAC,EAAEC,EAAE,EAAED,EAAEE,EAAE,KAAK,MAAMyC,EAAE,CAAC,EAAEC,EAAED,EAAEzC,EAAEjC,EAAE,CAAC,IAAI+B,EAAE,OAAOC,EAAE,KAAKC,EAAE,MAAM0C,EAAE,MAAMzC,EAAE,KAAKJ,EAAE,KAAK,MAAM,CAAC,SAAS3E,IAAI,QAAQ6C,EAAE,CAAC,IAAI,EAAE,OAAO,EAAE,KAAK,EAAE,MAAM,EAAE,MAAM,EAAE,KAAK,EAAE,KAAK,OAAO,EAAEC,EAAE,KAAK,MAAM,EAAEb,EAAE,GAAG1B,CAAC,EAAEwC,EAAE,KAAK,MAAM7C,EAAEgC,EAAE,GAAG,CAAC,EAAEc,EAAE,KAAK,MAAM1C,EAAE6B,EAAE,GAAG,CAAC,MAAO,OAAM,MAAM,8BAA8BnC,GAAG,EAAE,MAAM,CAAC,QAAQ6C,EAAE,SAASC,EAAE,UAAUC,EAAE,SAASC,CAAC,CAAC,CAAC,SAAS24B,GAAG37B,EAAE,EAAE,CAAC,GAAG,CAAC,EAAE,OAAO,KAAK,MAAMA,CAAC,EAAE,OAAO,EAAE,CAAC,IAAI,QAAQ,OAAO,KAAK,MAAMA,CAAC,EAAE,IAAI,OAAO,OAAO,KAAK,KAAKA,CAAC,EAAE,IAAI,QAAQ,OAAO,KAAK,MAAMA,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,wBAAwB,GAAG,CAAC,CAAC,CAAC,SAAS67B,GAAG77B,EAAE,CAAC,GAAG,CAAC,EAAEE,EAAEI,CAAC,EAAE46B,GAAGl7B,CAAC,EAAE,OAAO,IAAI,GAAGE,IAAI,GAAGI,IAAI,CAAC,CAAC,SAASw7B,GAAG97B,EAAE,EAAE,CAAC,OAAO67B,GAAG77B,CAAC,GAAG67B,GAAG,CAAC,CAAC,CAAC,SAASd,GAAG/6B,EAAE,CAAC,GAAGA,IAAI,OAAO,MAAM,eAAe,GAAGA,IAAI,OAAO,MAAM,gBAAgB,MAAM,IAAI,MAAM,sBAAsBA,GAAG,CAAC,CAAC,SAAS+7B,GAAG/7B,EAAE,EAAEE,EAAE,CAAC,GAAGA,GAAG,KAAK,CAAC,GAAG,OAAO,GAAG,SAAS,MAAM,MAAM,YAAYF,wDAAwDE,iBAAiB,IAAI,EAAE,GAAG,OAAO,GAAG,SAAS4X,EAAEQ,GAAG,CAAC,EAAE,IAAI,YAAYtY,wDAAwDE,iBAAiB,IAAI,UAAU,OAAO,GAAG,SAAS,EAAE,QAAQI,GAAG,CAACA,EAAE,QAAQC,GAAG,CAACuX,EAAEQ,GAAG/X,CAAC,EAAE,IAAI,YAAYP,wDAAwDE,iBAAiBK,IAAI,CAAC,CAAC,CAAC,CAAC,MAAO,OAAM,MAAM,YAAYP,iCAAiC,GAAG,CAAC,CAAC,CAAC,SAASg8B,GAAGh8B,EAAE,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE+rB,EAAE/rB,EAAE,IAAI,UAAU,mBAAmB,CAAC,EAAEO,EAAE,CAAC,MAAM,CAAC,EAAE,OAAO0qB,EAAE,UAAUtI,GAAG,EAAEpiB,CAAC,CAAC,CAAC,IAAI07B,EAAE/P,EAAE,CAAC,SAAS8P,EAAE,CAAC,EAAE,SAASE,GAAGl8B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAEwrB,EAAE/rB,EAAE,IAAI,UAAU,SAAS,EAAE,EAAE,EAAE8X,EAAEgkB,GAAG57B,EAAE,CAAC,EAAE,IAAI,wEAAwEA,oBAAoB,IAAI,EAAE,IAAI+B,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGD,EAAEg6B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAGnkB,EAAE7V,EAAE,OAAO,EAAE,IAAI,mDAAmDA,EAAE,OAAO,EAAE85B,GAAG,UAAUz7B,EAAEC,CAAC,EAAE,IAAI4B,EAAE,CAAC,EAAEF,CAAC,EAAEW,EAAE,CAAC,WAAW,EAAE,QAAQ1C,EAAE,IAAII,EAAE,gBAAgBC,CAAC,EAAEsC,EAAEooB,EAAE,UAAUjP,GAAG7Z,EAAES,CAAC,EAAE,OAAOC,EAAE2tB,GAAE3tB,EAAE,EAAE,KAAK,EAAEX,EAAE+5B,EAAEp5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIs5B,GAAGjQ,EAAE,CAAC,SAASgQ,EAAE,CAAC,EAAE,SAASE,GAAGp8B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,QAAQ,CAAC,IAAI,EAAEwrB,EAAE/rB,EAAE,IAAI,YAAY,SAAS,EAAEiC,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGD,EAAEg6B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAGnkB,EAAE7V,EAAE,OAAO,EAAE,IAAI,qDAAqDA,EAAE,OAAO,EAAE6V,EAAE,IAAI,QAAQ,IAAI,gFAAgF,GAAG,EAAEikB,GAAG,YAAYz7B,EAAEC,CAAC,EAAE,IAAI4B,EAAE,CAAC,EAAEF,CAAC,EAAEW,EAAE,CAAC,WAAW,EAAE,QAAQ1C,EAAE,IAAII,EAAE,gBAAgBC,EAAE,WAAW,CAAC,EAAEsC,EAAEooB,EAAE,UAAU/O,GAAG/Z,EAAES,CAAC,EAAE,OAAOC,EAAE2tB,GAAE3tB,EAAEZ,EAAE,KAAK,EAAEC,EAAE+5B,EAAEp5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIw5B,GAAGnQ,EAAE,CAAC,WAAWkQ,EAAE,CAAC,EAAE,SAASE,GAAGt8B,EAAE,EAAE,EAAE,CAAC8X,EAAE9X,EAAE,QAAQ,EAAE,IAAI,oCAAoC,EAAE,IAAIE,EAAE8rB,GAAGhsB,EAAE,UAAU,SAAS,mBAAmB,EAAE,GAAGE,EAAE,GAAG,QAAQ,aAAaA,EAAE,QAAQ,GAAG,CAAC,GAAG,EAAE,QAAQ,YAAY,MAAM,IAAI,MAAM;AAAA,uBACjuU,EAAE,SAAS,CAAC,CAAC,EAAEA,EAAE,SAAS,EAAE,OAAOwwB,GAAGxwB,EAAE,EAAE,EAAE,IAAII,EAAEJ,EAAEK,EAAE,CAAC,KAAK,CAAC,EAAE,OAAO0qB,EAAE,UAAUnO,GAAGxc,EAAEC,CAAC,CAAC,CAAC,IAAIg8B,GAAGrQ,EAAE,CAAC,QAAQoQ,EAAE,CAAC,EAAE,SAASE,GAAGx8B,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,UAAU,SAAS,CAAC,EAAE,OAAOirB,EAAE,UAAUrH,GAAG1jB,CAAC,CAAC,CAAC,IAAIu8B,GAAGvQ,EAAE,CAAC,SAASsQ,EAAE,CAAC,EAAE,SAASE,GAAG18B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEyrB,EAAE/rB,EAAE,IAAI,QAAQ,mBAAmB,EAAE,GAAGM,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,gCAAgC,EAAE,IAAIC,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,KAAKJ,CAAC,EAAE,OAAO+qB,EAAE,UAAUzH,GAAGjjB,EAAE,CAAC,CAAC,CAAC,IAAIo8B,GAAGzQ,EAAE,CAAC,OAAOwQ,EAAE,CAAC,EAAE,SAASE,GAAG58B,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,OAAO,SAAS,CAAC,EAAE,OAAOirB,EAAE,UAAUjG,GAAG9kB,CAAC,CAAC,CAAC,IAAI28B,GAAG3Q,EAAE,CAAC,MAAM0Q,EAAE,CAAC,EAAE,SAASE,GAAG98B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEwrB,EAAE/rB,EAAE,aAAa,eAAe,EAAEiC,EAAE8pB,EAAE,EAAE,aAAa,eAAe,EAAE7pB,EAAE6pB,EAAE7rB,EAAE,WAAW,eAAe,EAAEiC,EAAE4pB,EAAEzrB,EAAE,OAAO,eAAe,EAAEsC,EAAEmpB,EAAExrB,EAAE,IAAI,eAAe,EAAEsC,EAAEkpB,EAAE,EAAE,IAAI,eAAe,EAAEjpB,EAAEy5B,GAAG,CAACp6B,EAAEU,CAAC,EAAE,CAAC,EAAEE,EAAE8vB,GAAG/vB,EAAEb,CAAC,EAAEe,EAAE61B,EAAE91B,EAAEb,CAAC,EAAEgC,EAAElB,EAAE,MAAM,GAAG,EAAEA,EAAE,MAAM,GAAG,EAAEuE,EAAE,CAACrD,EAAE,CAAC,EAAEa,EAAE43B,GAAG35B,EAAE,CAAC,EAAE,CAAC,EAAEuE,CAAC,EAAE5C,EAAEg4B,GAAG35B,EAAE,CAAC,EAAE,CAAC,EAAEuE,CAAC,EAAE3C,EAAE+3B,GAAG35B,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEuE,CAAC,EAAE1C,EAAE83B,GAAG35B,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEuE,CAAC,EAAEzC,EAAE+zB,EAAEM,EAAEsD,GAAG13B,CAAC,EAAE83B,GAAGl4B,CAAC,CAAC,EAAEw0B,EAAEv2B,EAAE65B,GAAG5D,EAAE,EAAEj0B,CAAC,CAAC,CAAC,CAAC,EAAE4C,EAAE2xB,EAAE0D,GAAG/3B,CAAC,EAAE23B,GAAG53B,CAAC,CAAC,EAAE,MAAM,CAACC,EAAE0C,CAAC,CAAC,CAAC,IAAIu1B,GAAG7Q,EAAE,CAAC,eAAe4Q,EAAE,CAAC,EAAE,SAASE,GAAGh9B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEyrB,EAAE/rB,EAAE,IAAI,gBAAgB,EAAEO,EAAE,EAAE,OAAO,CAAC0B,EAAEC,IAAID,EAAEC,CAAC,EAAE4V,EAAExX,EAAE,MAAM,EAAE,EAAE,OAAO,IAAI,iBAAiBA,EAAE,+CAA+C,EAAE,QAAQ,EAAEwX,EAAE5X,EAAE,SAAS,EAAE,OAAO,IAAI,mBAAmBA,EAAE,oDAAoD,EAAE,QAAQ,EAAE4X,EAAExX,EAAE,MAAM,GAAGC,IAAI,EAAE,IAAI,yBAAyBD,EAAE,MAAM,wEAAwE,EAAE,KAAK,KAAK,SAASC,GAAG,EAAE,IAAI,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,MAAMJ,CAAC,EAAE,OAAO+qB,EAAE,UAAU5O,GAAG,EAAE,CAAC,CAAC,CAAC,IAAI4gB,GAAG/Q,EAAE,CAAC,gBAAgB8Q,EAAE,CAAC,EAAE,SAASE,GAAGl9B,EAAE,CAAC,IAAI,EAAE,OAAOA,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,EAAEi8B,EAAEj8B,EAAE,CAAC,EAAE,EAAE,EAAEA,EAAE,IAAI,CAAC,EAAEA,EAAE,OAAO,EAAE,EAAEi8B,EAAEj8B,EAAE,CAAC,EAAE,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,EAAE,OAAO,EAAE,EAAEi8B,EAAEj8B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAE,EAAEA,EAAE,CAAC,CAAC,SAASm9B,GAAGn9B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,GAAG,OAAO,EAAE,MAAM,IAAI,EAAEwrB,EAAE/rB,EAAE,IAAI,WAAW,EAAEiC,EAAE8pB,EAAE,EAAE,OAAO,WAAW,EAAE7pB,EAAE6pB,EAAE7rB,EAAE,WAAW,WAAW,EAAEiC,EAAE5B,GAAG,OAAO4B,EAAE4pB,EAAExrB,EAAE,QAAQ,WAAW,GAAG,IAAIqC,EAAEtC,GAAG,OAAOsC,EAAEmpB,EAAEzrB,EAAE,SAAS,WAAW,GAAGwX,EAAE7V,EAAE,OAAOC,EAAE,KAAK,IAAI,8EAA8E,EAAE4V,EAAElV,GAAG,MAAMX,EAAE,OAAOW,EAAE,KAAK,IAAI,4EAA4E,EAAEkV,EAAE3V,GAAG,MAAMF,EAAE,OAAOE,EAAE,KAAK,IAAI,2EAA2E,EAAE,IAAIW,EAAE,CAAC,EAAEo6B,GAAG,CAAC,EAAE,MAAM/6B,EAAE,OAAOS,EAAE,KAAKX,EAAE,SAASC,CAAC,EAAEa,EAAE,CAAC,gBAAgB,CAAC,EAAEC,EAAEioB,EAAE,UAAUhM,GAAGnc,EAAEC,CAAC,EAAE,OAAOk5B,EAAEj5B,EAAE,EAAE,KAAK,CAAC,CAAC,IAAIo6B,GAAGlR,EAAE,CAAC,WAAWiR,EAAE,CAAC,EAAE,SAASE,GAAGr9B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEwrB,EAAE/rB,EAAE,IAAI,WAAW,EAAEiC,EAAE8pB,EAAE,EAAE,OAAO,WAAW,EAAE7pB,EAAE6pB,EAAE7rB,EAAE,WAAW,WAAW,EAAEiC,EAAE5B,GAAG,OAAO4B,EAAE4pB,EAAExrB,EAAE,QAAQ,WAAW,GAAG,IAAIqC,EAAE,OAAOtC,GAAG,OAAOsC,EAAEmpB,EAAEzrB,EAAE,SAAS,WAAW,GAAGwX,EAAE,EAAE,OAAO,EAAE,IAAI,uDAAuD,EAAE,OAAO,EAAEA,EAAE7V,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,oEAAoEA,EAAE,OAAO,EAAE6V,EAAE5V,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,wEAAwEA,EAAE,OAAO,EAAEC,GAAG,MAAM2V,EAAE3V,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,qEAAqEA,EAAE,OAAO,EAAES,GAAG,MAAMkV,EAAElV,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,sEAAsEA,EAAE,OAAO,EAAEw6B,GAAG,EAAEn7B,EAAEC,EAAEU,EAAET,EAAE,CAAC,CAAC,CAAC,IAAIm7B,GAAGpR,EAAE,CAAC,aAAamR,EAAE,CAAC,EAAE,SAASE,GAAGv9B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEwrB,EAAE/rB,EAAE,IAAI,WAAW,EAAEiC,EAAE8pB,EAAE,EAAE,OAAO,WAAW,EAAE7pB,EAAE6pB,EAAE7rB,EAAE,WAAW,WAAW,EAAEiC,EAAE5B,GAAG,OAAO4B,EAAE4pB,EAAExrB,EAAE,QAAQ,WAAW,GAAG,IAAIqC,EAAE,OAAOtC,GAAG,OAAOsC,EAAEmpB,EAAEzrB,EAAE,SAAS,WAAW,GAAGwX,EAAE,EAAE,OAAO,EAAE,IAAI,uDAAuD,EAAE,OAAO,EAAEA,EAAE7V,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,oEAAoEA,EAAE,OAAO,EAAE6V,EAAE5V,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,wEAAwEA,EAAE,OAAO,EAAEC,GAAG,MAAM2V,EAAE3V,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,qEAAqEA,EAAE,OAAO,EAAES,GAAG,MAAMkV,EAAElV,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,sEAAsEA,EAAE,OAAO,EAAEw6B,GAAG,EAAEn7B,EAAEC,EAAEU,EAAET,EAAE,CAAC,CAAC,CAAC,IAAIq7B,GAAGtR,EAAE,CAAC,aAAaqR,EAAE,CAAC,EAAE,SAASE,GAAGz9B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEwrB,EAAE/rB,EAAE,IAAI,WAAW,EAAEiC,EAAE8pB,EAAE,EAAE,OAAO,WAAW,EAAE7pB,EAAE6pB,EAAE7rB,EAAE,WAAW,WAAW,EAAEiC,EAAE5B,GAAG,OAAO4B,EAAE4pB,EAAExrB,EAAE,QAAQ,WAAW,GAAG,IAAIqC,EAAE,OAAOtC,GAAG,OAAOsC,EAAEmpB,EAAEzrB,EAAE,SAAS,WAAW,GAAGwX,EAAE,EAAE,OAAO,EAAE,IAAI,uDAAuD,EAAE,OAAO,EAAEA,EAAE7V,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,oEAAoEA,EAAE,OAAO,EAAE6V,EAAE5V,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,wEAAwEA,EAAE,OAAO,EAAEC,GAAG,MAAM2V,EAAE3V,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,qEAAqEA,EAAE,OAAO,EAAES,GAAG,MAAMkV,EAAElV,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,sEAAsEA,EAAE,OAAO,EAAEw6B,GAAG,EAAEn7B,EAAEC,EAAEU,EAAET,EAAE,CAAC,CAAC,CAAC,IAAIu7B,GAAGxR,EAAE,CAAC,aAAauR,EAAE,CAAC,EAAE,SAASE,GAAG39B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEyrB,EAAE/rB,EAAE,IAAI,UAAU,EAAEO,EAAEwrB,EAAE,EAAE,UAAU,UAAU,EAAEjU,EAAExX,EAAE,QAAQ,QAAQ,IAAI,yDAAyDA,EAAE,OAAO,EAAEwX,EAAE5X,GAAG,EAAE,IAAI,sCAAsCA,IAAI,EAAE4X,EAAEvX,EAAE,OAAOD,EAAE,MAAMC,EAAE,OAAO,EAAE,IAAI,gGAAgGD,EAAE,yBAAyBC,EAAE,QAAQ,EAAE,IAAI,EAAE,CAAC,EAAED,EAAE,QAAQC,CAAC,EAAE,EAAE,CAAC,KAAKL,CAAC,EAAE,OAAO+qB,EAAE,UAAU3O,GAAG,EAAE,CAAC,CAAC,CAAC,IAAIshB,GAAG1R,EAAE,CAAC,UAAUyR,EAAE,CAAC,EAAE,SAASE,GAAG79B,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,KAAK,gBAAgB,OAAO,EAAEM,EAAEyrB,EAAE,EAAE,KAAK,gBAAgB,OAAO,EAAE,GAAG7rB,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,oEAAoEA,EAAE,MAAM,EAAE,GAAGI,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,qEAAqEA,EAAE,MAAM,EAAE,IAAIC,EAAE,CAAC,GAAGL,EAAE,GAAGI,CAAC,EAAE,OAAO2qB,EAAE,UAAUzO,GAAGjc,CAAC,CAAC,CAAC,IAAIu9B,GAAG5R,EAAE,CAAC,eAAe2R,EAAE,CAAC,EAAE,SAASE,GAAG/9B,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,cAAc,GAAG,EAAEM,EAAEJ,EAAE,MAAM,GAAG,EAAE,KAAK,GAAG,EAAE,EAAE,IAAI,EAAE,IAAI,CAAC,EAAE,MAAM,IAAI,MAAM,2CAA2C,KAAK,EAAE,GAAG,EAAE,OAAOA,EAAE,KAAK,MAAM,IAAI,MAAM,+BAA+B,EAAE,uBAAuBA,EAAE,OAAO,EAAE,GAAG,EAAE,OAAOA,EAAE,KAAK,CAAC,IAAI,EAAEA,EAAE,MAAM,MAAM,EAAE,KAAK,EAAE,OAAO,EAAE,QAAQ,EAAE,QAAQ,CAAC,EAAEA,EAAE+7B,EAAE/7B,EAAE,CAAC,CAAC,CAAC,IAAIK,EAAEL,EAAE,MAAM,EAAE,MAAM,KAAK,CAAC,EAAE,QAAQ,EAAE,EAAE,OAAO,EAAE,GAAG,EAAE,IAAI,GAAGK,EAAE,KAAK,EAAE,GAAG,EAAE,GAAG,UAAUL,EAAE,MAAM,KAAK,EAAE,MAAM,IAAI,MAAM,mBAAmBI,8BAA8B,KAAK,EAAE,GAAG,EAAE,IAAI,CAAC,EAAEsC,IAAI,EAAE,EAAEA,EAAE,EAAE,EAAE,OAAO,GAAG,GAAG,CAAC,EAAE,SAAS,EAAE,OAAO8tB,GAAGxwB,CAAC,EAAE,IAAI+B,EAAE,CAAC,EAAE/B,CAAC,EAAEgC,EAAE,CAAC,KAAK,CAAC,EAAE,OAAO+oB,EAAE,UAAUhG,GAAGhjB,EAAEC,CAAC,CAAC,CAAC,IAAI87B,GAAG9R,EAAE,CAAC,aAAa6R,EAAE,CAAC,EAAE,SAASE,GAAGj+B,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,OAAO,SAAS,CAAC,EAAE,OAAOirB,EAAE,UAAUvO,GAAGxc,CAAC,CAAC,CAAC,IAAIg+B,GAAGhS,EAAE,CAAC,MAAM+R,EAAE,CAAC,EAAE,SAASE,GAAGn+B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,CAAC,MAAMN,EAAE,MAAM,EAAE,MAAME,CAAC,EAAE,OAAO+qB,EAAE,UAAUpM,GAAG,CAAC,EAAEve,CAAC,CAAC,CAAC,SAAS89B,GAAGp+B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEyrB,EAAE/rB,EAAE,IAAI,aAAa,EAAE,GAAG8X,EAAE,GAAG5X,EAAE,IAAI,uBAAuB,yCAAyCA,KAAK,EAAE,IAAIA,EAAE,OAAOi+B,GAAG79B,EAAE,MAAM,EAAEA,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,aAAa,EAAE,aAAaJ,CAAC,EAAE,OAAO+qB,EAAE,UAAUtO,GAAGpc,EAAE,CAAC,CAAC,CAAC,IAAI89B,GAAGnS,EAAE,CAAC,aAAakS,EAAE,CAAC,EAAE,SAASE,GAAGt+B,EAAE,CAAC,OAAOu8B,GAAGv8B,EAAE,CAAC,CAAC,CAAC,IAAIu+B,GAAGrS,EAAE,CAAC,UAAUoS,EAAE,CAAC,EAAE,SAASE,GAAGx+B,EAAE,EAAE,CAAC,OAAOu8B,GAAGv8B,EAAE,CAAC,CAAC,CAAC,IAAIy+B,GAAGvS,EAAE,CAAC,UAAUsS,EAAE,CAAC,EAAE,SAASE,GAAG1+B,EAAE,EAAE,CAAC,OAAOu8B,GAAGv8B,EAAE,CAAC,CAAC,CAAC,IAAI2+B,GAAGzS,EAAE,CAAC,UAAUwS,EAAE,CAAC,EAAE,SAASE,GAAG5+B,EAAE,EAAE,CAAC,OAAOu8B,GAAGv8B,EAAE,CAAC,CAAC,CAAC,IAAI6+B,GAAG3S,EAAE,CAAC,UAAU0S,EAAE,CAAC,EAAE,SAASE,GAAG9+B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,OAAO,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,IAAI0B,EAAE8pB,EAAE/rB,EAAE,IAAI,SAAS,SAAS,EAAEkC,EAAE6pB,EAAE,EAAE,SAAS,SAAS,SAAS,EAAE5pB,EAAEF,EAAEW,EAAE,GAAGX,EAAE,OAAO,IAAIW,EAAE,GAAGT,EAAE85B,EAAEh6B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG6V,EAAE3V,EAAE,OAAO,EAAE,IAAI,uDAAuDA,EAAE,OAAO,EAAE2V,EAAE5V,EAAE,OAAO,EAAE,IAAI,wDAAwDA,EAAE,OAAO,EAAE65B,GAAG,SAASz7B,EAAE,CAAC,EAAE,IAAIuC,EAAEtC,IAAI,OAAO4B,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG2V,EAAEjV,IAAIX,EAAE,MAAM,GAAG,IAAI,oCAAoCW,wCAAwCX,EAAE,MAAM,KAAK,EAAE4V,EAAEgkB,GAAG57B,EAAE,CAAC,EAAE,IAAI,uEAAuEA,oBAAoB,IAAI,EAAE,IAAI4C,EAAE,CAAC,EAAEX,EAAE,OAAOD,CAAC,EAAEa,EAAE,CAAC,QAAQ7C,EAAE,IAAII,EAAE,WAAWC,EAAE,UAAU,EAAE,gBAAgB,CAAC,EAAEyC,EAAEioB,EAAE,UAAUlO,GAAGja,EAAEC,CAAC,EAAE,OAAOH,EAAEq5B,EAAEj5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAI+7B,GAAG7S,EAAE,CAAC,QAAQ4S,EAAE,CAAC,EAAE,SAASE,GAAGh/B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,MAAM,EAAE,EAAE,EAAE,CAAC,IAAI0B,EAAE8pB,EAAE/rB,EAAE,IAAI,QAAQ,EAAEkC,EAAE6pB,EAAE,EAAE,SAAS,QAAQ,EAAE5pB,EAAEF,EAAEW,EAAE,GAAGX,EAAE,OAAO,IAAIW,EAAE,GAAGT,EAAE85B,EAAEh6B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG6V,EAAE3V,EAAE,OAAO,EAAE,IAAI,uDAAuDA,EAAE,OAAO,EAAE2V,EAAE5V,EAAE,OAAO,EAAE,IAAI,wDAAwDA,EAAE,OAAO,EAAE65B,GAAG,SAASz7B,EAAE,CAAC,EAAEwX,EAAE3V,EAAE,MAAM,KAAKD,EAAE,MAAM,GAAG,IAAI,oCAAoCC,EAAE,MAAM,yCAAyCD,EAAE,MAAM,KAAK,EAAE4V,EAAEgkB,GAAG57B,EAAE,CAAC,EAAE,IAAI,oEAAoEA,mBAAmB,IAAI,EAAE4X,EAAEvX,IAAI,MAAM,IAAI,sCAAsCA,wCAAwC,EAAE,IAAIsC,EAAEo5B,EAAE/5B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEY,EAAEm5B,EAAE95B,EAAE,CAACA,EAAE,MAAM,GAAG,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEgC,EAAE46B,GAAGj8B,EAAED,EAAE,CAAC,EAAE3C,CAAC,EAAEI,EAAE,OAAO,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,OAAOsC,EAAEq5B,EAAE93B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAE83B,EAAE93B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,CAAC,CAAC,IAAI86B,GAAG/S,EAAE,CAAC,QAAQ8S,EAAE,CAAC,EAAE,SAASE,GAAGl/B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,OAAO,EAAE,CAACuX,EAAE9X,EAAE,SAAS,EAAE,KAAK,IAAI,sBAAsBA,EAAE,2BAA2B,EAAE,kBAAkB,EAAE,IAAIiC,EAAEjC,EAAEkC,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGD,EAAE+5B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,EAAEh6B,EAAE,CAAC,EAAEjC,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,GAAG8X,EAAE7V,EAAE,SAAS,EAAE,IAAI,qEAAqEA,EAAE,SAAS,EAAE6V,EAAE5V,EAAE,OAAO,EAAE,IAAI,4DAA4DA,EAAE,MAAM,EAAE4V,EAAE5X,EAAE,OAAO,EAAE,IAAI,gEAAgEA,EAAE,MAAM,EAAE,IAAI0C,EAAE,IAAI,OAAOX,EAAE,GAAGA,EAAE,GAAGY,EAAE,IAAI,OAAOX,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG4V,EAAElV,IAAI1C,EAAE,MAAM,GAAG,IAAI,4CAA4C0C,wCAAwC1C,EAAE,MAAM,KAAK,EAAE4X,EAAEjV,IAAI3C,EAAE,MAAM,GAAG,IAAI,6CAA6C2C,yCAAyC3C,EAAE,MAAM,KAAK,EAAE67B,GAAG,iBAAiBx7B,EAAE,CAAC,EAAE,IAAIuC,EAAE,CAAC,GAAGZ,EAAE,OAAOhC,CAAC,EAAE6C,EAAE,CAAC,QAAQzC,EAAE,IAAIC,EAAE,WAAW,EAAE,gBAAgB,EAAE,WAAW0B,CAAC,EAAEe,EAAEioB,EAAE,UAAUhO,GAAGna,EAAEC,CAAC,EAAE,OAAOZ,EAAE85B,EAAEj5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIm8B,GAAGjT,EAAE,CAAC,qBAAqBgT,EAAE,CAAC,EAAE,SAASE,GAAGp/B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEwrB,EAAE/rB,EAAE,IAAI,iBAAiB,EAAEiC,EAAE8pB,EAAE,EAAE,SAAS,iBAAiB,EAAE,OAAOoT,GAAGj/B,EAAE,EAAE+B,EAAE3B,EAAEC,EAAE,OAAO,CAAC,CAAC,CAAC,IAAI8+B,GAAGnT,EAAE,CAAC,iBAAiBkT,EAAE,CAAC,EAAE,SAASE,GAAGt/B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,QAAQ,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,CAAC,IAAI,EAAEwrB,EAAE/rB,EAAE,IAAI,QAAQ,EAAEiC,EAAE8pB,EAAE,EAAE,SAAS,QAAQ,EAAE7pB,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGD,EAAE+5B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAGnkB,EAAE5V,EAAE,OAAO,EAAE,IAAI,uDAAuDA,EAAE,OAAO,EAAE4V,EAAE7V,EAAE,OAAO,EAAE,IAAI,wDAAwDA,EAAE,OAAO,EAAE6V,EAAE5V,EAAE,MAAM,KAAKD,EAAE,MAAM,GAAG,IAAI,oCAAoCC,EAAE,MAAM,yCAAyCD,EAAE,MAAM,KAAK,EAAE6V,EAAEgkB,GAAG57B,EAAE,CAAC,EAAE,IAAI,uEAAuEA,oBAAoB,IAAI,EAAE4X,EAAEvX,IAAI,QAAQ,IAAI,sCAAsCA,0CAA0C,EAAE,IAAIqC,EAAE,CAAC,EAAEV,EAAE,OAAOD,CAAC,EAAEY,EAAE,CAAC,QAAQ3C,EAAE,IAAII,EAAE,WAAWC,EAAE,UAAU,CAAC,EAAEuC,EAAEmoB,EAAE,UAAU/N,GAAGta,EAAEC,CAAC,EAAE,OAAOV,EAAE85B,EAAEn5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIy8B,GAAGrT,EAAE,CAAC,QAAQoT,EAAE,CAAC,EAAE,SAASE,GAAGx/B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAACuX,EAAE9X,EAAE,SAAS,EAAE,KAAK,IAAI,sBAAsBA,EAAE,2BAA2B,EAAE,kBAAkB,EAAE,IAAI,EAAEA,EAAE,EAAE,EAAEiC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAG,EAAEg6B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEj8B,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,GAAG,IAAIkC,EAAE,EAAE,GAAGC,EAAE,EAAE,MAAM,GAAG2V,EAAE,EAAE,SAAS,EAAE,IAAI,qEAAqE,EAAE,SAAS,EAAEA,EAAE,EAAE,OAAO,EAAE,IAAI,4DAA4D,EAAE,MAAM,EAAEA,EAAE5X,EAAE,OAAO,EAAE,IAAI,gEAAgEA,EAAE,MAAM,EAAE4X,EAAE5V,IAAIhC,EAAE,MAAM,GAAG,IAAI,4CAA4CgC,wCAAwChC,EAAE,MAAM,KAAK,EAAE4X,EAAE3V,IAAIjC,EAAE,MAAM,GAAG,IAAI,6CAA6CiC,yCAAyCjC,EAAE,MAAM,KAAK,EAAE,IAAI0C,EAAE,CAAC,GAAG,EAAE,OAAO1C,CAAC,EAAE2C,EAAE,CAAC,IAAItC,EAAE,QAAQD,EAAE,WAAW,CAAC,EAAEwC,EAAEmoB,EAAE,UAAU7N,GAAGxa,EAAEC,CAAC,EAAE,OAAOZ,EAAEg6B,EAAEn5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAI28B,GAAGvT,EAAE,CAAC,qBAAqBsT,EAAE,CAAC,EAAE,SAASE,GAAG1/B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAEwrB,EAAE/rB,EAAE,IAAI,iBAAiB,EAAE,EAAE+rB,EAAE,EAAE,SAAS,iBAAiB,EAAE,OAAO0T,GAAGv/B,EAAE,EAAE,EAAEI,EAAEC,CAAC,CAAC,CAAC,IAAIo/B,GAAGzT,EAAE,CAAC,iBAAiBwT,EAAE,CAAC,EAAE,SAASE,GAAG5/B,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,MAAM,SAAS,CAAC,EAAE,OAAOirB,EAAE,UAAU5N,GAAGnd,CAAC,CAAC,CAAC,IAAI2/B,GAAG3T,EAAE,CAAC,KAAK0T,EAAE,CAAC,EAAE,SAASE,GAAG9/B,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,OAAO,SAAS,CAAC,EAAE,OAAOirB,EAAE,UAAU3N,GAAGpd,CAAC,CAAC,CAAC,IAAI6/B,GAAG7T,EAAE,CAAC,MAAM4T,EAAE,CAAC,EAAE,SAASE,GAAGhgC,EAAE,EAAE,EAAEE,EAAE,GAAGI,EAAE,GAAG,CAAC,IAAIyB,EAAE,CAAC,EAAEgqB,EAAE/rB,EAAE,IAAI,SAAS,CAAC,EAAEgC,EAAE,CAAC,KAAK,EAAE,UAAU9B,EAAE,QAAQI,CAAC,EAAE,OAAO2qB,EAAE,UAAU1N,GAAGxb,EAAEC,CAAC,CAAC,CAAC,IAAIi+B,GAAG/T,EAAE,CAAC,SAAS8T,EAAE,CAAC,EAAE,SAASE,GAAGlgC,EAAE,EAAE,EAAEE,EAAE,GAAGI,EAAE,GAAG,CAAC,IAAIyB,EAAE,CAAC,EAAEgqB,EAAE/rB,EAAE,IAAI,QAAQ,CAAC,EAAEgC,EAAE,CAAC,KAAK,EAAE,UAAU9B,EAAE,QAAQI,CAAC,EAAE,OAAO2qB,EAAE,UAAUzN,GAAGzb,EAAEC,CAAC,CAAC,CAAC,IAAIm+B,GAAGjU,EAAE,CAAC,QAAQgU,EAAE,CAAC,EAAE,SAASE,GAAGpgC,EAAE,EAAEE,EAAEI,EAAE,GAAG,CAAC,IAAIC,EAAEwrB,EAAE/rB,EAAE,IAAI,eAAe,EAAE,EAAE+rB,EAAE,EAAE,UAAU,eAAe,EAAEjU,EAAEvX,EAAE,QAAQ,QAAQ,IAAI,8DAA8DA,EAAE,OAAO,EAAEuX,EAAEvX,EAAE,MAAM,EAAE,IAAI,sEAAsEA,EAAE,OAAO,EAAEuX,EAAE5X,GAAG,EAAE,IAAI,sCAAsCA,IAAI,EAAE4X,EAAE,EAAE,OAAOvX,EAAE,MAAM,EAAE,OAAO,EAAE,IAAI,+FAA+FA,EAAE,yBAAyB,EAAE,QAAQ,EAAE,IAAI,EAAE,CAAC,EAAEA,EAAE,QAAQ,CAAC,EAAE0B,EAAE,CAAC,KAAK/B,EAAE,aAAaI,CAAC,EAAE,OAAO2qB,EAAE,UAAUvN,GAAG,EAAEzb,CAAC,CAAC,CAAC,IAAIo+B,GAAGnU,EAAE,CAAC,eAAekU,EAAE,CAAC,EAAE,SAASE,GAAGtgC,EAAE,EAAEE,EAAE,OAAO,CAAC,IAAII,EAAEyrB,EAAE/rB,EAAE,IAAI,eAAe,SAAS,EAAEO,EAAEL,IAAI,OAAOI,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG,EAAEJ,IAAI,OAAOI,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG,EAAEJ,IAAI,OAAOI,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGwX,EAAE,EAAE,EAAE,IAAI,sDAAsD,GAAG,EAAEA,EAAEvX,EAAE,GAAG,EAAE,IAAI;AAAA,MACryZA,SAAS;AAAA,MACTD,EAAE,OAAO,EAAEwX,EAAE,EAAE,GAAG,EAAE,IAAI;AAAA,MACxB,SAAS;AAAA,UACLxX,EAAE,OAAO,EAAEwX,EAAE,GAAG,EAAE,KAAK,EAAE,IAAI,8CAA8C,EAAE,YAAY,uCAAuCxX,EAAE,OAAO,EAAE,IAAI2B,EAAE,CAAC,EAAE3B,CAAC,EAAE4B,EAAE,CAAC,UAAU,EAAE,WAAWhC,CAAC,EAAE,OAAO+qB,EAAE,UAAUtN,GAAG1b,EAAEC,CAAC,CAAC,CAAC,IAAIq+B,GAAGrU,EAAE,CAAC,cAAcoU,EAAE,CAAC,EAAE,SAASE,GAAGxgC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,OAAO,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,IAAI0B,EAAE8pB,EAAE/rB,EAAE,IAAI,kBAAkB,SAAS,EAAEkC,EAAE6pB,EAAE,EAAE,SAAS,kBAAkB,SAAS,EAAE5pB,EAAEF,EAAEW,EAAE,GAAGX,EAAE,OAAO,IAAIW,EAAE,GAAGT,EAAE85B,EAAEh6B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG6V,EAAE3V,EAAE,OAAO,EAAE,IAAI,gEAAgEA,EAAE,OAAO,EAAE2V,EAAE5V,EAAE,OAAO,EAAE,IAAI,iEAAiEA,EAAE,OAAO,EAAE,IAAIW,EAAEtC,IAAI,OAAO4B,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG2V,EAAEjV,IAAIX,EAAE,MAAM,GAAG,IAAI,uDAAuDW,oDAAoDX,EAAE,MAAM,KAAK,EAAE65B,GAAG,kBAAkBz7B,EAAE,CAAC,EAAE,IAAIwC,EAAE,CAAC,EAAEX,EAAE,OAAOD,CAAC,EAAEa,EAAE,CAAC,QAAQ7C,EAAE,IAAII,EAAE,WAAWC,EAAE,UAAU,EAAE,gBAAgB,CAAC,EAAEyC,EAAEioB,EAAE,UAAUrN,GAAG9a,EAAEC,CAAC,EAAE,OAAOH,EAAEq5B,EAAEj5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIy9B,GAAGvU,EAAE,CAAC,iBAAiBsU,EAAE,CAAC,EAAE,SAASE,GAAG1gC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,MAAM,CAAC,EAAE,OAAOirB,EAAE,UAAUlN,GAAG7d,CAAC,CAAC,CAAC,IAAIygC,GAAGzU,EAAE,CAAC,MAAMwU,EAAE,CAAC,EAAE,SAASE,GAAG5gC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,OAAO,CAAC,IAAI,EAAEwrB,EAAE/rB,EAAE,IAAI,YAAY,EAAEiC,EAAE8pB,EAAE,EAAE,SAAS,YAAY,EAAEjU,EAAE,EAAE,OAAO,GAAG,EAAE,OAAO,EAAE,IAAI,gEAAgE,EAAE,OAAO,EAAEA,EAAE7V,EAAE,OAAO,EAAE,IAAI,4DAA4DA,EAAE,OAAO,EAAE6V,EAAE,IAAI,OAAO,IAAI,gFAAgF,GAAG,EAAE,IAAI5V,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAID,EAAE+5B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,EAAE95B,EAAE,IAAI,IAAIS,EAAE,CAAC,EAAEV,EAAE,OAAOD,CAAC,EAAEY,EAAE,CAAC,QAAQ3C,EAAE,IAAII,EAAE,UAAUC,CAAC,EAAEuC,EAAEmoB,EAAE,UAAUjN,GAAGpb,EAAEC,CAAC,EAAE,OAAOV,EAAE85B,EAAEn5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAI+9B,GAAG3U,EAAE,CAAC,YAAY0U,EAAE,CAAC,EAAE,SAASE,GAAG9gC,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,QAAQ,mBAAmB,EAAEM,EAAEyrB,EAAE,EAAE,IAAI,QAAQ,mBAAmB,EAAE,CAAC7rB,EAAEI,CAAC,EAAE6pB,GAAGjqB,EAAEI,CAAC,EAAEy0B,GAAG70B,EAAE,MAAMI,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO2qB,EAAE,UAAUzM,GAAGje,CAAC,CAAC,CAAC,IAAIwgC,GAAG7U,EAAE,CAAC,OAAO4U,EAAE,CAAC,EAAE,SAASE,GAAGhhC,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEyrB,EAAE,EAAE,IAAI,OAAO,EAAExrB,EAAEwrB,EAAE7rB,EAAE,IAAI,OAAO,EAAE,EAAE6rB,EAAE/rB,EAAE,YAAY,QAAQ,MAAM,EAAE,EAAE+0B,GAAGA,GAAG,EAAE,MAAMz0B,EAAE,KAAK,EAAEC,EAAE,KAAK,EAAE0B,EAAE+7B,GAAG,EAAE,CAAC,EAAE97B,EAAE87B,GAAG19B,EAAE,CAAC,EAAE6B,EAAE67B,GAAGz9B,EAAE,CAAC,EAAEqC,EAAE,CAAC,UAAUX,EAAE,EAAEC,EAAE,EAAEC,CAAC,EAAE,OAAO8oB,EAAE,UAAU3H,GAAG1gB,CAAC,CAAC,CAAC,IAAIq+B,GAAG/U,EAAE,CAAC,OAAO8U,EAAE,CAAC,EAAE,SAASE,GAAGlhC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,WAAW,CAAC,EAAE,OAAOirB,EAAE,UAAUxF,GAAGvlB,CAAC,CAAC,CAAC,IAAIihC,GAAGjV,EAAE,CAAC,WAAWgV,EAAE,CAAC,EAAE,SAASE,GAAGphC,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,KAAK,EAAEM,EAAEyrB,EAAE,EAAE,IAAI,KAAK,EAAE,CAAC7rB,EAAEI,CAAC,EAAE6pB,GAAGjqB,EAAEI,CAAC,EAAE,IAAIC,EAAE04B,GAAG/4B,EAAEI,CAAC,EAAE,EAAE6gC,GAAG5gC,CAAC,EAAE,EAAEwgC,GAAGzgC,EAAE,CAAC,EAAE,OAAO2gC,GAAG,EAAE,EAAE1gC,CAAC,CAAC,CAAC,IAAI8gC,GAAGnV,EAAE,CAAC,UAAUkV,EAAE,CAAC,EAAE,SAASE,GAAGthC,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,KAAK,KAAK,EAAEM,EAAEyrB,EAAE,EAAE,KAAK,KAAK,EAAEjU,GAAG5X,EAAE,OAAO,GAAGA,EAAE,OAAO,KAAKI,EAAE,OAAO,GAAGA,EAAE,OAAO,GAAG,IAAI,+DAA+DJ,EAAE,YAAYI,EAAE,OAAO,EAAE,IAAIC,EAAEL,EAAE,OAAO,EAAEA,EAAE,KAAKA,EAAE,MAAM,GAAG,EAAEI,EAAE,OAAO,EAAEA,EAAE,KAAKA,EAAE,MAAM,GAAG,GAAGwX,EAAEvX,IAAI,EAAE,IAAI,gEAAgEA,SAAS,IAAI,EAAEL,EAAE,OAAO,GAAGI,EAAE,OAAO,EAAE,CAAC,IAAI,EAAE27B,EAAE/7B,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE+B,EAAEg6B,EAAE37B,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE4B,EAAE2wB,GAAG,EAAE5wB,CAAC,EAAE,OAAOg6B,EAAE/5B,EAAE,CAAC,CAAC,CAAC,SAAShC,EAAE,OAAO,GAAGI,EAAE,OAAO,EAAE,CAAC,IAAI,EAAE27B,EAAE/7B,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE+B,EAAEg6B,EAAE37B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAE4B,EAAE2wB,GAAG,EAAE5wB,CAAC,EAAE,OAAOg6B,EAAE/5B,EAAE,CAACA,EAAE,IAAI,CAAC,CAAC,SAAShC,EAAE,OAAO,GAAGI,EAAE,OAAO,EAAE,CAAC,IAAI,EAAE27B,EAAE37B,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE2B,EAAE4wB,GAAG3yB,EAAE,CAAC,EAAE,OAAO+7B,EAAEh6B,EAAE,CAACA,EAAE,IAAI,CAAC,CAAC,KAAK,CAAC,IAAI,EAAEg6B,EAAE37B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAE,OAAOuyB,GAAG3yB,EAAE,CAAC,CAAC,CAAC,CAAC,IAAIqhC,GAAGrV,EAAE,CAAC,KAAKoV,EAAE,CAAC,EAAE,SAASE,GAAGxhC,KAAK,EAAE,CAAC,IAAIE,EAAE,EAAE,IAAI,CAACK,EAAE,IAAIwrB,EAAExrB,EAAE,UAAU,IAAI,QAAQ,CAAC,EAAED,EAAE,CAAC,SAASN,CAAC,EAAE,OAAOirB,EAAE,UAAU7M,GAAGle,EAAEI,CAAC,CAAC,CAAC,IAAImhC,GAAGvV,EAAE,CAAC,QAAQsV,EAAE,CAAC,EAAE,SAASE,GAAG1hC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,MAAM,SAAS,CAAC,EAAE,OAAOirB,EAAE,UAAU5M,GAAGne,CAAC,CAAC,CAAC,IAAIyhC,GAAGzV,EAAE,CAAC,KAAKwV,EAAE,CAAC,EAAE,SAASE,GAAG5hC,EAAE,CAAC,IAAI,EAAE+rB,EAAE/rB,EAAE,IAAI,KAAK,EAAE8X,EAAE,EAAE,QAAQ,SAAS,EAAE,QAAQ,UAAU,IAAI,2CAA2C,EAAE,EAAE,QAAQ,UAAU,EAAE0Y,GAAE,EAAE,SAAS,GAAG,IAAItwB,EAAE,CAAC,EAAE,CAAC,EAAE,OAAO+qB,EAAE,UAAU1M,GAAGre,CAAC,CAAC,CAAC,IAAI2hC,GAAG3V,EAAE,CAAC,KAAK0V,EAAE,CAAC,EAAE,SAASE,GAAG9hC,EAAE,EAAE,CAAC,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,GAAGF,EAAEA,EAAE,OAAOE,EAAE,KAAK,EAAE,EAAEA,EAAE,MAAM,GAAG,MAAM,EAAE,CAAC,SAAS6hC,GAAG/hC,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,OAAO,EAAE,OAAOO,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE,QAAQ0B,EAAE,EAAEA,EAAE3B,EAAE2B,IAAI/B,EAAE,QAAQ+B,CAAC,IAAI,GAAG1B,EAAE,KAAKP,EAAE,IAAI,EAAEO,EAAE,KAAK,EAAE,IAAI,EAAE,OAAOA,CAAC,CAAC,SAASyhC,GAAGhiC,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEI,EAAEN,EAAE,OAAO,QAAQ,EAAE,EAAE,EAAEM,EAAE,IAAI,EAAE,QAAQ,CAAC,IAAI,IAAIJ,EAAE,KAAKF,EAAE,EAAE,EAAE,IAAIO,EAAE,EAAE,IAAI,GAAGP,EAAE,EAAE,EAAE,MAAM,CAACE,EAAEK,CAAC,CAAC,CAAC,SAAS0hC,GAAGjiC,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAE,IAAII,GAAG,CAAC,EAAE,OAAOyhC,GAAG/hC,EAAEE,EAAE,CAAC,CAAC,CAAC,SAASgiC,GAAGliC,EAAE,EAAEE,EAAE,CAAC4X,EAAEgqB,GAAG,EAAE5hC,CAAC,EAAE,IAAI,GAAGF,qDAAqD,cAAcE,UAAU,CAAC,CAAC,SAASiiC,GAAGniC,EAAE,EAAE,CAAC,GAAG8hC,GAAG9hC,EAAE,CAAC,EAAE,OAAO,KAAK,IAAIE,EAAE,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAEN,EAAE,QAAQM,CAAC,IAAI,IAAIJ,EAAE,KAAKI,CAAC,EAAE,OAAON,EAAE,QAAQM,GAAGJ,EAAE,KAAKI,CAAC,CAAC,EAAEJ,CAAC,CAAC,SAASkiC,GAAGpiC,EAAE,CAAC,OAAOA,EAAE,IAAI,CAAC,EAAEE,IAAI,CAACA,EAAE,CAAC,CAAC,EAAE,KAAK,CAAC,EAAEA,IAAI,EAAE,GAAGA,EAAE,EAAE,EAAE,IAAI,GAAG,EAAE,EAAE,CAAC,CAAC,SAASmiC,GAAGriC,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQI,EAAE,EAAEN,EAAEM,EAAE,EAAE,EAAEA,EAAEJ,EAAE,KAAKI,CAAC,EAAE,OAAOJ,CAAC,CAAC,SAASoiC,GAAGtiC,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAIK,EAAE,CAAC,EAAEwrB,EAAE/rB,EAAE,IAAI,KAAK,CAAC,EAAE+B,EAAE,CAAC,iBAAiB,EAAE,SAAS7B,CAAC,EAAE,OAAO+qB,EAAE,UAAUvK,GAAGngB,EAAEwB,CAAC,CAAC,CAAC,IAAIwgC,GAAGrW,EAAE,CAAC,KAAKoW,EAAE,CAAC,EAAE,SAASE,GAAGxiC,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAIK,EAAE,CAAC,EAAEwrB,EAAE/rB,EAAE,IAAI,KAAK,CAAC,EAAE+B,EAAE,CAAC,KAAK,EAAE,SAAS7B,CAAC,EAAE,OAAO+qB,EAAE,UAAU/J,GAAG3gB,EAAEwB,CAAC,CAAC,CAAC,IAAI0gC,GAAGvW,EAAE,CAAC,KAAKsW,EAAE,CAAC,EAAE,SAASE,GAAG1iC,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,OAAO,KAAK,EAAEM,EAAEyrB,EAAE,EAAE,MAAM,KAAK,EAAE,CAAC7rB,EAAEI,CAAC,EAAE6pB,GAAGjqB,EAAEI,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO2qB,EAAE,UAAU/I,GAAG3hB,CAAC,CAAC,CAAC,IAAIoiC,GAAGzW,EAAE,CAAC,KAAKwW,EAAE,CAAC,EAAE,SAASE,GAAG5iC,EAAE,EAAE,CAAC,IAAImY,GAAGnY,CAAC,GAAG,IAAI,UAAU,MAAM,QAAQA,CAAC,IAAI,IAAI,YAAY,MAAM,IAAI,MAAM,gFAAgF,EAAE,GAAG,IAAI,UAAUmY,GAAGnY,CAAC,GAAG,EAAEA,aAAa,YAAY,MAAM,IAAI,MAAM,2EAA2E,EAAE,OAAOqsB,GAAGrsB,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,SAAS6iC,GAAG7iC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,OAAO,SAAS,CAAC,EAAE,OAAOirB,EAAE,UAAUnH,GAAG5jB,CAAC,CAAC,CAAC,IAAI4iC,GAAG5W,EAAE,CAAC,MAAM2W,EAAE,CAAC,EAAE,SAASE,GAAG/iC,EAAE,CAAC,IAAI,EAAE+rB,EAAE/rB,EAAE,IAAI,QAAQ,EAAEE,EAAE,CAAC,EAAE,OAAO+qB,EAAE,UAAU,SAAS,CAAC,EAAE,CAAC,EAAE/qB,CAAC,CAAC,CAAC,IAAI8iC,GAAG9W,EAAE,CAAC,QAAQ6W,EAAE,CAAC,EAAE,SAASE,GAAGjjC,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAII,EAAEyrB,EAAE/rB,EAAE,IAAI,KAAK,EAAEM,EAAE,QAAQ,SAASA,EAAEkwB,GAAElwB,EAAE,OAAO,GAAG,IAAIC,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAASJ,CAAC,EAAE,OAAO+qB,EAAE,UAAUlH,GAAGxjB,EAAE,CAAC,CAAC,CAAC,IAAI2iC,GAAGhX,EAAE,CAAC,KAAK+W,EAAE,CAAC,EAAE,SAASE,GAAGnjC,EAAE,EAAE,YAAYE,EAAE,KAAKI,EAAE,GAAG,CAACN,EAAE+rB,EAAE/rB,EAAE,IAAI,MAAM,EAAE,IAAIO,EAAE6iC,GAAGpjC,EAAE,EAAEE,CAAC,EAAE,EAAEK,EAAE,MAAM,GAAGD,EAAE,CAAC,IAAI,EAAEuY,GAAG3Y,EAAEF,EAAE,KAAK,EAAE,EAAEiiC,GAAG1hC,EAAE,MAAM,CAAC,CAAC,CAAC,OAAO07B,EAAE17B,EAAE,CAAC,CAAC,CAAC,SAAS6iC,GAAGpjC,EAAE,EAAEE,EAAE,KAAK,CAAC,GAAGF,EAAE,OAAO,EAAE,OAAOq5B,GAAGr5B,CAAC,EAAE,GAAGA,EAAE,OAAO,GAAGE,IAAI,KAAK,OAAOkjC,GAAGnH,EAAEj8B,EAAE,CAAC,EAAE,CAAC,EAAE,EAAEE,CAAC,EAAE,GAAGF,EAAE,OAAO,GAAG,OAAOE,GAAG,UAAU,MAAM,QAAQA,CAAC,GAAGA,EAAE,SAAS,EAAE,CAAC,GAAG,IAAI,EAAE,OAAOgjC,GAAG7J,GAAGr5B,CAAC,EAAEE,CAAC,EAAE,GAAG,IAAI,EAAE,EAAE,OAAOqiC,GAAGlJ,GAAGr5B,CAAC,EAAEE,CAAC,EAAE,GAAG,IAAI,GAAG,EAAE,OAAOuiC,GAAGpJ,GAAGr5B,CAAC,EAAEE,CAAC,EAAE,GAAG,IAAI,aAAa,IAAI,EAAE,OAAO4iC,GAAGI,GAAGP,GAAGtJ,GAAGr5B,CAAC,EAAE4iC,GAAG,EAAE,OAAO,CAAC,EAAE1iC,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,qCAAqC,GAAG,CAAC,CAAC,GAAG,MAAM,QAAQA,CAAC,GAAGA,EAAE,SAAS,EAAE,CAAC,GAAG,IAAI,EAAE,OAAOqiC,GAAGW,GAAG7J,GAAGr5B,CAAC,EAAEE,EAAE,EAAE,EAAEA,EAAE,GAAG,CAAC,EAAE,GAAG,IAAI,EAAE,EAAE,OAAOqiC,GAAGW,GAAG7J,GAAGr5B,CAAC,EAAEE,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAE,GAAG,IAAI,GAAG,EAAE,OAAOuiC,GAAGS,GAAG7J,GAAGr5B,CAAC,EAAEE,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAE,GAAG,IAAI,OAAO,IAAI,YAAY,OAAO4iC,GAAGI,GAAGF,GAAGhjC,CAAC,EAAEE,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,qCAAqC,GAAG,CAAC,CAAC,MAAM,IAAI,MAAM,gCAAgCA,GAAG,CAAC,CAAC,IAAImjC,GAAGnX,EAAE,CAAC,MAAMiX,EAAE,CAAC,EAAE,SAASG,GAAGtjC,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,OAAOmjC,GAAGrjC,EAAE,YAAY,EAAEE,CAAC,CAAC,CAAC,IAAIqjC,GAAGrX,EAAE,CAAC,eAAeoX,EAAE,CAAC,EAAE,SAASE,GAAGxjC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,KAAK,CAAC,EAAE,OAAOirB,EAAE,UAAUxM,GAAGve,CAAC,CAAC,CAAC,IAAIujC,GAAGvX,EAAE,CAAC,KAAKsX,EAAE,CAAC,EAAE,SAASE,GAAG1jC,EAAE,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,aAAa,mBAAmB,EAAE8X,EAAE,GAAG5X,EAAE,KAAK,IAAI,oCAAoC,EAAE,IAAII,EAAE,CAAC,MAAMJ,CAAC,EAAEK,EAAE,CAAC,IAAI,CAAC,EAAE,OAAO0qB,EAAE,UAAUvM,GAAGpe,EAAEC,CAAC,CAAC,CAAC,IAAIojC,GAAGzX,EAAE,CAAC,YAAYwX,EAAE,CAAC,EAAE,SAASE,GAAG5jC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,OAAO,CAAC,EAAE,OAAOirB,EAAE,UAAUtM,GAAGze,CAAC,CAAC,CAAC,IAAI2jC,GAAG3X,EAAE,CAAC,OAAO0X,EAAE,CAAC,EAAE,SAASE,GAAG9jC,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,OAAO,mBAAmB,EAAE8X,EAAE5X,EAAE,OAAO,EAAE,OAAO,IAAI,qCAAqCA,EAAE,kCAAkC,IAAI,EAAE,IAAII,EAAE,CAAC,EAAEJ,CAAC,EAAEK,EAAE,CAAC,KAAK,CAAC,EAAE,OAAO0qB,EAAE,UAAUhG,GAAG3kB,EAAEC,CAAC,CAAC,CAAC,IAAIwjC,GAAG7X,EAAE,CAAC,MAAM4X,EAAE,CAAC,EAAE,SAASE,GAAGhkC,EAAE,EAAEE,EAAEI,EAAE,UAAU,CAAC,GAAG,OAAO,EAAEN,GAAG,IAAIO,EAAE+vB,GAAG,CAACtwB,EAAE,CAAC,EAAEM,CAAC,EAAE,EAAEN,GAAG,EAAEA,EAAE,EAAE,QAAQiC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE1B,EAAE,IAAI,EAAE0B,EAAEA,CAAC,EAAE,IAAI,EAAEg6B,EAAE17B,EAAE,SAAS,EAAE,CAACP,EAAE,CAAC,CAAC,EAAE,GAAGE,GAAG,KAAK,OAAO,EAAE,GAAGA,EAAE,SAAS,EAAE,OAAO6jC,GAAGJ,GAAG,EAAE,CAAC,EAAE,CAACzjC,EAAE,GAAG,EAAE,CAAC,CAAC,EAAE,GAAGA,EAAE,SAAS,EAAE,OAAO6jC,GAAGJ,GAAGA,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAACzjC,EAAE,GAAGA,EAAE,GAAG,EAAE,CAAC,CAAC,EAAE,GAAGA,EAAE,SAAS,EAAE,OAAO6jC,GAAGJ,GAAGA,GAAGA,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAACzjC,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAG,EAAE,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,qEAAqEA,EAAE,UAAU,CAAC,CAAC,IAAI+jC,GAAG/X,EAAE,CAAC,KAAK8X,EAAE,CAAC,EAAE,SAASE,GAAGlkC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,QAAQ,SAAS,CAAC,EAAE,OAAOirB,EAAE,UAAUlM,GAAG7e,CAAC,CAAC,CAAC,IAAIikC,GAAGjY,EAAE,CAAC,OAAOgY,EAAE,CAAC,EAAE,SAASE,GAAGpkC,EAAE,EAAEE,EAAE,EAAEI,EAAE,EAAE,CAAC,IAAIC,EAAEwrB,EAAE/rB,EAAE,IAAI,QAAQ,EAAE,EAAE+rB,EAAE,EAAE,UAAU,SAAS,OAAO,EAAE,EAAE,CAAC,EAAExrB,EAAE,QAAQ,CAAC,EAAE0B,EAAE,CAAC,KAAK/B,EAAE,UAAUI,CAAC,EAAE,OAAO2qB,EAAE,UAAU/L,GAAG,EAAEjd,CAAC,CAAC,CAAC,IAAIoiC,GAAGnY,EAAE,CAAC,QAAQkY,EAAE,CAAC,EAAE,SAASE,GAAGtkC,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,UAAU,mBAAmB,EAAEM,EAAEyrB,EAAE,EAAE,IAAI,UAAU,mBAAmB,EAAE,CAAC7rB,EAAEI,CAAC,EAAE6pB,GAAGjqB,EAAEI,CAAC,EAAEy0B,GAAG70B,EAAE,MAAMI,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO2qB,EAAE,UAAU7L,GAAG7e,CAAC,CAAC,CAAC,IAAIgkC,GAAGrY,EAAE,CAAC,SAASoY,EAAE,CAAC,EAAE,SAASE,GAAGxkC,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,eAAe,mBAAmB,EAAEM,EAAEyrB,EAAE,EAAE,IAAI,eAAe,mBAAmB,EAAE,CAAC7rB,EAAEI,CAAC,EAAE6pB,GAAGjqB,EAAEI,CAAC,EAAEy0B,GAAG70B,EAAE,MAAMI,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO2qB,EAAE,UAAU5L,GAAG9e,CAAC,CAAC,CAAC,IAAIkkC,GAAGvY,EAAE,CAAC,cAAcsY,EAAE,CAAC,EAAE,SAASE,GAAG1kC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,UAAU,CAAC,EAAE,OAAOirB,EAAE,UAAUxL,GAAGvf,CAAC,CAAC,CAAC,IAAIykC,GAAGzY,EAAE,CAAC,UAAUwY,EAAE,CAAC,EAAE,SAASE,GAAG5kC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,OAAO,CAAC,EAAE,OAAOirB,EAAE,UAAUvL,GAAGxf,CAAC,CAAC,CAAC,IAAI2kC,GAAG3Y,EAAE,CAAC,OAAO0Y,EAAE,CAAC,EAAE,SAASE,GAAG9kC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,OAAO,CAAC,EAAE,OAAOirB,EAAE,UAAUtL,GAAGzf,CAAC,CAAC,CAAC,IAAI6kC,GAAG7Y,EAAE,CAAC,OAAO4Y,EAAE,CAAC,EAAE,SAASE,GAAGhlC,EAAE,EAAE,GAAG,CAAC,IAAI,EAAE,CAAC,EAAE+rB,EAAE/rB,EAAE,IAAI,WAAW,CAAC,EAAEO,EAAE,CAAC,MAAM,CAAC,EAAE,OAAO0qB,EAAE,UAAUrL,GAAG,EAAErf,CAAC,CAAC,CAAC,IAAI0kC,GAAG/Y,EAAE,CAAC,WAAW8Y,EAAE,CAAC,EAAE,SAASE,GAAGllC,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,OAAO,mBAAmB,EAAEM,EAAEyrB,EAAE,EAAE,IAAI,OAAO,mBAAmB,EAAE,CAAC7rB,EAAEI,CAAC,EAAE6pB,GAAGjqB,EAAEI,CAAC,EAAEy0B,GAAG70B,EAAE,MAAMI,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO2qB,EAAE,UAAUpL,GAAGtf,CAAC,CAAC,CAAC,IAAI4kC,GAAGjZ,EAAE,CAAC,MAAMgZ,EAAE,CAAC,EAAE,SAASE,GAAGplC,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,YAAY,mBAAmB,EAAEM,EAAEyrB,EAAE,EAAE,IAAI,YAAY,mBAAmB,EAAE,CAAC7rB,EAAEI,CAAC,EAAE6pB,GAAGjqB,EAAEI,CAAC,EAAEy0B,GAAG70B,EAAE,MAAMI,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO2qB,EAAE,UAAUnL,GAAGvf,CAAC,CAAC,CAAC,IAAI8kC,GAAGnZ,EAAE,CAAC,WAAWkZ,EAAE,CAAC,EAAE,SAASE,GAAGtlC,EAAE,EAAEE,EAAE,CAAC,GAAGA,GAAG,EAAE,MAAM,IAAI,MAAM,0CAA0C,EAAE,IAAII,EAAE,CAAC,MAAMN,EAAE,KAAK,EAAE,IAAIE,CAAC,EAAE,OAAO+qB,EAAE,UAAUlL,GAAG,CAAC,EAAEzf,CAAC,CAAC,CAAC,SAASilC,GAAGvlC,EAAE,EAAE,EAAEE,EAAE,EAAEI,EAAE,EAAEC,EAAE,GAAG,CAAC,IAAI,EAAEwrB,EAAE/rB,EAAE,IAAI,4BAA4B,EAAE8X,EAAE,EAAE,OAAO,GAAG,EAAE,OAAO,EAAE,IAAI;AAAA,sBACt8R,EAAE,OAAO,EAAEA,EAAEQ,GAAG,CAAC,EAAE,IAAI,2FAA2F,IAAI,EAAE,IAAI,EAAE,EAAErW,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAG,EAAEg6B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAG,IAAI/5B,EAAE,CAAC,EAAE,CAAC,EAAEC,EAAE,CAAC,YAAY,EAAE,KAAKjC,EAAE,MAAMI,EAAE,KAAKC,CAAC,EAAEqC,EAAEqoB,EAAE,UAAUzK,GAAGte,EAAEC,CAAC,EAAE,OAAOF,EAAEg6B,EAAEr5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAI4iC,GAAGtZ,EAAE,CAAC,4BAA4BqZ,EAAE,CAAC,EAAE,SAASE,GAAGzlC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,MAAM,SAAS,CAAC,EAAE,OAAOirB,EAAE,UAAUjL,GAAG9f,CAAC,CAAC,CAAC,IAAIwlC,GAAGxZ,EAAE,CAAC,KAAKuZ,EAAE,CAAC,EAAE,SAASE,GAAG3lC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,OAAO,CAAC,EAAE,OAAOirB,EAAE,UAAUhL,GAAG/f,CAAC,CAAC,CAAC,IAAI0lC,GAAG1Z,EAAE,CAAC,OAAOyZ,EAAE,CAAC,EAAE,SAASE,GAAG7lC,EAAE,CAAC,OAAO8X,EAAE4B,GAAG1Z,CAAC,EAAE,IAAI,4CAA4C,EAAE,CAAC,EAAEE,IAAI,CAAC,IAAII,EAAEyrB,EAAE,EAAE,IAAI,UAAU,mBAAmB,EAAExrB,EAAEL,GAAG,KAAK6rB,EAAE7rB,EAAE,KAAK,SAAS,EAAE,KAAK,OAAO+qB,EAAE,KAAK,IAAI,CAAC,GAAG,CAAC,MAAM,EAAE,MAAM,CAAC,EAAEA,EAAE,UAAU,IAAIjrB,EAAEM,CAAC,EAAE,CAACA,CAAC,EAAEC,CAAC,EAAE,OAAOA,GAAG,MAAMwX,GAAG,EAAE,MAAMxX,EAAE,MAAM,gFAAgF,EAAEulC,GAAG,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAASC,GAAG/lC,EAAE,CAAC,OAAO8X,EAAE4B,GAAG1Z,CAAC,EAAE,IAAI,6CAA6C,EAAE,CAAC,EAAEE,IAAI,CAAC4X,EAAE,MAAM,QAAQ,CAAC,EAAE,IAAI,kFAAkF,EAAE,IAAIxX,EAAE0rB,GAAG,EAAE,OAAO,WAAW,mBAAmB,EAAEzrB,EAAEL,GAAG,KAAK6rB,EAAE7rB,EAAE,KAAK,UAAU,EAAE,KAAK,OAAO+qB,EAAE,KAAK,IAAI,CAAC,GAAG,CAAC,MAAM,EAAE,MAAM,CAAC,EAAEA,EAAE,UAAU,IAAIjrB,EAAE,GAAGM,CAAC,EAAEA,EAAEC,CAAC,EAAE,OAAOA,GAAG,MAAMwX,GAAG,EAAE,MAAMxX,EAAE,MAAM,+FAA+F,EAAEulC,GAAG,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,SAASE,GAAGhmC,EAAE,CAAC,OAAO8X,EAAE4B,GAAG1Z,CAAC,EAAE,IAAI,oDAAoD,EAAE,CAAC,EAAEE,IAAI,CAAC4X,EAAE,aAAa8R,GAAG,IAAI,qDAAqD,EAAE9R,EAAE5X,GAAG,MAAMA,aAAa0pB,GAAG,IAAI,0DAA0D,EAAE,GAAG,CAAC,MAAMtpB,EAAE,MAAMC,CAAC,EAAE0qB,EAAE,UAAU,IAAIjrB,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEE,CAAC,EAAE,OAAO4lC,GAAGxlC,CAAC,EAAE,CAAC,KAAKA,EAAE,GAAG,MAAMC,CAAC,CAAC,CAAC,CAAC,SAAS0lC,GAAGjmC,EAAE,CAAC,OAAO8X,EAAE4B,GAAG1Z,CAAC,EAAE,IAAI,qDAAqD,EAAE,CAAC,EAAEE,IAAI,CAAC4X,EAAE,MAAM,QAAQ,CAAC,GAAG,EAAE,MAAMvX,GAAGA,aAAaqpB,EAAE,EAAE,IAAI,oEAAoE,EAAE9R,EAAE5X,GAAG,MAAMA,aAAa0pB,GAAG,IAAI,8DAA8D,EAAE,IAAItpB,EAAE2qB,EAAE,UAAU,IAAIjrB,EAAE,GAAG,CAAC,EAAE,EAAEE,CAAC,EAAE,OAAOA,GAAG,MAAM6X,GAAGzX,EAAE,MAAM,MAAMJ,EAAE,MAAM,uGAAuG,EAAE4lC,GAAGxlC,EAAE,KAAK,EAAEA,CAAC,CAAC,CAAC,SAAS4lC,GAAGlmC,EAAE,EAAE,CAAC8X,EAAE4B,GAAG1Z,CAAC,EAAE,IAAI,qDAAqD,EAAE8X,EAAE,GAAG,MAAM,MAAM,QAAQ,CAAC,GAAG,EAAE,MAAM3V,GAAGA,aAAa2nB,EAAE,EAAE,IAAI,+EAA+E,EAAE,IAAI5pB,EAAE,GAAG,KAAK,GAAG,CAACA,EAAE,CAAC,EAAE,CAAC,EAAE,QAAQiC,KAAK8oB,EAAE,oBAAoB,EAAE,KAAKA,EAAE,oBAAoB9oB,EAAE,CAAC,CAAC,IAAI7B,EAAEJ,EAAE,EAAE,OAAOiC,GAAG,CAACA,EAAE,SAAS,EAAE,KAAK5B,EAAE,EAAE,OAAO,EAAE,EAAE,OAAO4B,GAAGA,EAAE,SAAS,EAAE2V,EAAE,EAAE,OAAO,EAAE,IAAI,gGAAgGvX,2BAA2B,EAAE,IAAI,EAAE,GAAG,CAAC,MAAM,EAAE,MAAM0B,CAAC,EAAEgpB,EAAE,UAAUjrB,EAAE,EAAE,KAAK,CAAC,EAAE8X,EAAE7V,EAAE,KAAKE,GAAGA,GAAG,IAAI,EAAE,IAAI,8LAA8L,EAAE2V,EAAE,EAAE,OAAO,EAAE,IAAI,iFAAiF,EAAE,aAAa,EAAE,IAAI5V,EAAE,CAAC,EAAE,OAAO,EAAE,QAAQ,CAACC,EAAES,IAAI,CAACX,EAAEW,IAAI,OAAOV,EAAEC,EAAE,MAAMF,EAAEW,GAAG,CAAC,EAAEtC,GAAG,MAAMA,EAAE,QAAQ6B,GAAGD,EAAEC,EAAE,MAAM,IAAI,EAAE,CAAC,MAAM,EAAE,MAAMD,CAAC,CAAC,CAAC,SAASikC,GAAGnmC,EAAE,CAAC,OAAOirB,EAAE,WAAWjrB,CAAC,CAAC,CAAC,SAAS8lC,GAAG9lC,EAAE,CAAC,GAAGA,EAAE,OAAOE,GAAGA,GAAG,IAAI,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM;AAAA,oEACryG,CAAC,CAAC,SAASkmC,GAAGpmC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,UAAU,CAAC,EAAE,OAAOirB,EAAE,UAAUpH,GAAG3jB,CAAC,CAAC,CAAC,IAAImmC,GAAGna,EAAE,CAAC,UAAUka,EAAE,CAAC,EAAE,SAASE,GAAGtmC,EAAE,CAAC,IAAI,EAAE+rB,EAAE/rB,EAAE,IAAI,YAAY,EAAE,OAAOmmC,GAAG,IAAI,CAAC,MAAM3R,GAAG6R,GAAG7R,GAAG,CAAC,CAAC,CAAC,EAAE,SAASxyB,GAAGm3B,EAAEn3B,EAAEy6B,GAAGjI,GAAG,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,IAAI+R,GAAGra,EAAE,CAAC,YAAYoa,EAAE,CAAC,EAAE,SAASE,GAAGxmC,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,KAAK,EAAEM,EAAEyrB,EAAE,EAAE,IAAI,KAAK,EAAE,CAAC7rB,EAAEI,CAAC,EAAE6pB,GAAGjqB,EAAEI,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO2qB,EAAE,UAAUnG,GAAGvkB,CAAC,CAAC,CAAC,IAAIkmC,GAAGva,EAAE,CAAC,KAAKsa,EAAE,CAAC,EAAE,SAASE,GAAG1mC,EAAE,EAAE,GAAG,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,SAAS,YAAY,EAAE,GAAG,IAAI,KAAK,EAAEE,EAAE,KAAK,GAAG,IAAIA,EAAE,KAAK,EAAE,MAAM,MAAM,gFAAgFA,EAAE,qBAAqB,GAAG,EAAE,OAAOimC,GAAG,CAAC5lC,EAAEwB,IAAI,CAAC,IAAIE,EAAEsgC,GAAGhiC,EAAE,EAAE,EAAE,EAAE2B,EAAEukC,GAAGlmC,EAAE0B,CAAC,EAAEE,EAAEskC,GAAGjW,GAAEtuB,EAAE,SAAS,EAAEwjC,GAAGxC,GAAGO,GAAGvhC,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,EAAE,OAAOH,EAAE,CAACI,CAAC,CAAC,EAAE,CAAC,MAAMA,EAAE,SAAS,CAACU,EAAEC,IAAI,CAAC,GAAG,CAACC,CAAC,EAAED,EAAE,EAAE,GAAGoB,EAAEu/B,GAAG1gC,CAAC,EAAE,OAAO0jC,GAAG5jC,EAAEs2B,EAAE+J,GAAGrgC,EAAE,EAAE,CAAC,EAAEqB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEhE,CAAC,CAAC,CAAC,IAAIymC,GAAGza,EAAE,CAAC,YAAYwa,EAAE,CAAC,EAAE,SAASE,GAAG5mC,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAII,EAAEyrB,EAAE/rB,EAAE,IAAI,WAAW,EAAEO,EAAEsY,GAAG,EAAEvY,EAAE,KAAK,EAAE,EAAEiiC,GAAGjiC,EAAEC,EAAE,EAAE,EAAE,EAAEkmC,GAAGnmC,EAAE,CAAC,EAAE2B,EAAEwhC,GAAG,CAAC,EAAEvhC,EAAEghC,GAAGjhC,EAAE1B,CAAC,EAAE4B,EAAEujC,GAAGxjC,CAAC,EAAEU,EAAEi2B,EAAEoD,EAAE,EAAE95B,EAAE,KAAK,EAAEA,CAAC,EAAE,GAAGjC,EAAE,CAAC,IAAI2C,EAAEo/B,GAAGr/B,EAAE,MAAMrC,CAAC,EAAE,OAAO07B,EAAEr5B,EAAEC,CAAC,CAAC,CAAC,OAAOD,CAAC,CAAC,IAAIikC,GAAG3a,EAAE,CAAC,WAAW0a,EAAE,CAAC,EAAE,SAASE,GAAG9mC,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,aAAa,MAAM,EAAEM,EAAEyrB,EAAE,EAAE,IAAI,aAAa,MAAM,EAAEgJ,GAAG70B,EAAE,MAAMI,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO2qB,EAAE,UAAU/K,GAAG3f,CAAC,CAAC,CAAC,IAAIwmC,GAAG7a,EAAE,CAAC,YAAY4a,EAAE,CAAC,EAAE,SAASE,GAAGhnC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,aAAa,MAAM,CAAC,EAAE,OAAOirB,EAAE,UAAU9K,GAAGjgB,CAAC,CAAC,CAAC,IAAI+mC,GAAG/a,EAAE,CAAC,YAAY8a,EAAE,CAAC,EAAE,SAASE,GAAGlnC,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,YAAY,MAAM,EAAEM,EAAEyrB,EAAE,EAAE,IAAI,YAAY,MAAM,EAAEgJ,GAAG70B,EAAE,MAAMI,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO2qB,EAAE,UAAU7K,GAAG7f,CAAC,CAAC,CAAC,IAAI4mC,GAAGjb,EAAE,CAAC,WAAWgb,EAAE,CAAC,EAAE,SAASE,GAAGpnC,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,aAAa,MAAM,EAAEM,EAAEyrB,EAAE,EAAE,IAAI,aAAa,MAAM,EAAE,OAAOgJ,GAAG70B,EAAE,MAAMI,EAAE,KAAK,EAAEymC,GAAGI,GAAGnnC,EAAE,CAAC,EAAEinC,GAAGF,GAAG/mC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIqnC,GAAGnb,EAAE,CAAC,YAAYkb,EAAE,CAAC,EAAME,GAAG,WAAW,SAASC,GAAGvnC,EAAE,EAAEE,EAAE,OAAO,CAAC,IAAII,EAAEyrB,EAAE/rB,EAAE,iBAAiB,cAAc,EAAEO,EAAEwrB,EAAE,EAAE,SAAS,cAAc,EAAE,EAAEzrB,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAG,EAAEC,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAG0B,EAAEg6B,EAAE37B,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE4B,EAAE+5B,EAAE17B,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE,GAAG0B,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,sDAAsD,EAAE,GAAGA,EAAE,MAAM,KAAKC,EAAE,MAAM,GAAG,MAAM,IAAI,MAAM,gEAAgE,EAAE,GAAGkW,GAAGlW,EAAE,KAAK,GAAGolC,GAAG,MAAM,IAAI,MAAM,qCAAqCA,IAAI,EAAE,GAAGrlC,EAAE,MAAM,IAAIqlC,GAAG,MAAM,IAAI,MAAM,oCAAoCA,iCAAiCrlC,EAAE,MAAM,IAAI,EAAE,IAAIE,EAAE,CAAC,eAAeF,EAAE,OAAOC,CAAC,EAAEU,EAAE,CAAC,KAAK1C,CAAC,EAAE,OAAO+qB,EAAE,UAAU5H,GAAGlhB,EAAES,CAAC,CAAC,CAAC,IAAI4kC,GAAGtb,EAAE,CAAC,cAAcqb,EAAE,CAAC,EAAE,SAASE,GAAGznC,EAAE,EAAE,CAAC,OAAOwnC,GAAGxnC,EAAE,EAAE,MAAM,CAAC,CAAC,SAAS0nC,GAAG1nC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAEwrB,EAAE/rB,EAAE,IAAI,SAAS,EAAE,EAAE,EAAEiC,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGD,EAAEg6B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAGnkB,EAAE7V,EAAE,OAAO,EAAE,IAAI,uDAAuDA,EAAE,OAAO,EAAE6V,EAAEgkB,GAAG57B,EAAE,CAAC,EAAE,IAAI,wEAAwEA,oBAAoB,IAAI,EAAE67B,GAAG,UAAUz7B,EAAEC,CAAC,EAAE,IAAI4B,EAAE,CAAC,EAAEF,CAAC,EAAEW,EAAE,CAAC,WAAW,EAAE,QAAQ1C,EAAE,IAAII,EAAE,gBAAgBC,CAAC,EAAEsC,EAAEooB,EAAE,UAAUrK,GAAGze,EAAES,CAAC,EAAE,OAAOV,EAAE+5B,EAAEp5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAI8kC,GAAGzb,EAAE,CAAC,SAASwb,EAAE,CAAC,EAAE,SAASE,GAAG5nC,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEE,EAAEI,EAAEC,EAAE,EAAE,QAAQ,CAAC,IAAI,EAAEwrB,EAAE/rB,EAAE,IAAI,WAAW,EAAEiC,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGD,EAAEg6B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAGnkB,EAAE7V,EAAE,OAAO,EAAE,IAAI,qDAAqDA,EAAE,OAAO,EAAE6V,EAAE,IAAI,QAAQ,IAAI,gFAAgF,GAAG,EAAEikB,GAAG,YAAYz7B,EAAEC,CAAC,EAAE,IAAI4B,EAAE,CAAC,EAAEF,CAAC,EAAEW,EAAE,CAAC,WAAW,EAAE,QAAQ1C,EAAE,IAAII,EAAE,gBAAgBC,EAAE,WAAW,CAAC,EAAEsC,EAAEooB,EAAE,UAAUnK,GAAG3e,EAAES,CAAC,EAAE,OAAOV,EAAE+5B,EAAEp5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIglC,GAAG3b,EAAE,CAAC,WAAW0b,EAAE,CAAC,EAAE,SAASE,GAAG9nC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,GAAG,CAAC,IAAIyB,EAAE,CAAC,EAAE+pB,EAAE/rB,EAAE,IAAI,mBAAmB,CAAC,EAAEiC,EAAE,CAAC,WAAW,EAAE,QAAQ/B,EAAE,IAAII,EAAE,oBAAoBC,CAAC,EAAE2B,EAAE+oB,EAAE,UAAUjK,GAAGhf,EAAEC,CAAC,EAAE,MAAM,CAAC,OAAOC,EAAE,GAAG,QAAQA,EAAE,EAAE,CAAC,CAAC,IAAI6lC,GAAG7b,EAAE,CAAC,mBAAmB4b,EAAE,CAAC,EAAE,SAASE,GAAGhoC,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,SAAS,EAAEM,EAAEyrB,EAAE,EAAE,IAAI,SAAS,EAAE,CAAC7rB,EAAEI,CAAC,EAAE6pB,GAAGjqB,EAAEI,CAAC,EAAEJ,EAAE,QAAQ,SAASA,EAAEswB,GAAEtwB,EAAE,OAAO,EAAEI,EAAEkwB,GAAElwB,EAAE,OAAO,GAAGy0B,GAAG70B,EAAE,MAAMI,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO2qB,EAAE,UAAUtK,GAAGpgB,CAAC,CAAC,CAAC,IAAI0nC,GAAG/b,EAAE,CAAC,SAAS8b,EAAE,CAAC,EAAE,SAASE,GAAGloC,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAIK,EAAE,CAAC,EAAEwrB,EAAE/rB,EAAE,IAAI,MAAM,CAAC,EAAE+B,EAAE,CAAC,KAAK,EAAE,SAAS7B,CAAC,EAAE,OAAO+qB,EAAE,UAAUhK,GAAG1gB,EAAEwB,CAAC,CAAC,CAAC,IAAIomC,GAAGjc,EAAE,CAAC,MAAMgc,EAAE,CAAC,EAAE,SAASE,GAAGpoC,EAAE,EAAE,UAAU,CAAC,GAAG,IAAI,YAAY,CAAC,IAAIM,EAAE8nC,GAAGpoC,EAAE,SAAS,EAAEO,EAAE6nC,GAAGpoC,EAAE,SAAS,EAAE,OAAOosB,GAAG9rB,EAAEC,CAAC,CAAC,CAAC,IAAIL,EAAE8Z,GAAG5B,GAAGpY,CAAC,EAAE,CAAC,EAAE,OAAOirB,EAAE,WAAW/qB,EAAEF,EAAE,CAAC,CAAC,CAAC,SAASqoC,GAAGroC,EAAE,EAAE,UAAU,CAAC,GAAG,IAAI,YAAY,CAAC,IAAIM,EAAE+nC,GAAGroC,EAAE,SAAS,EAAEO,EAAE6nC,GAAGpoC,EAAE,SAAS,EAAE,OAAOosB,GAAG9rB,EAAEC,CAAC,CAAC,CAAC,IAAIL,EAAE6Z,GAAG3B,GAAGpY,CAAC,EAAE,CAAC,EAAE,OAAOirB,EAAE,WAAW/qB,EAAEF,EAAE,CAAC,CAAC,CAAC,SAASsoC,GAAGtoC,EAAE,EAAE,CAAC,SAASE,EAAE,IAAI,EAAE,CAAC,EAAE,CAAC,GAAGA,IAAI,MAAMA,IAAI,KAAK,MAAM,IAAI,UAAU,GAAGA,6CAA6C,EAAE,GAAGF,IAAI,OAAO,MAAM,CAAC,EAAE,IAAIM,EAAEyrB,EAAE/rB,EAAE,IAAI,WAAWA,aAAa4pB,GAAG5pB,EAAE,MAAM,SAAS,EAAE,GAAG,IAAI,OAAO,MAAM,CAACM,CAAC,EAAE,IAAIC,EAAEwrB,EAAE,EAAE,IAAI,WAAW,aAAanC,GAAG,EAAE,MAAM,SAAS,EAAE,EAAExR,GAAG9X,EAAE,KAAK,EAAE,EAAE8X,GAAG7X,EAAE,KAAK,EAAE,OAAOL,IAAI,MAAMI,EAAE27B,EAAE37B,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEC,EAAE07B,EAAE17B,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE,CAACsyB,GAAGwV,GAAG,CAAC,EAAE,CAAC,EAAE/nC,EAAE,KAAK,EAAEA,CAAC,EAAEuyB,GAAGtyB,EAAE8nC,GAAG,CAAC,EAAE,CAAC,EAAE9nC,EAAE,KAAK,CAAC,CAAC,IAAID,EAAE27B,EAAE37B,EAAE,CAAC,GAAG,CAAC,CAAC,EAAEC,EAAE07B,EAAE17B,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,CAACsyB,GAAGvyB,EAAE+nC,GAAG,CAAC,EAAE,CAAC,EAAE/nC,EAAE,KAAK,CAAC,EAAEuyB,GAAGwV,GAAG,CAAC,EAAE,CAAC,EAAE9nC,EAAE,KAAK,EAAEA,CAAC,CAAC,EAAE,CAAC,SAASgoC,GAAGvoC,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,SAAS,EAAEM,EAAEyrB,EAAE,EAAE,IAAI,SAAS,EAAE,CAAC7rB,EAAEI,CAAC,EAAE6pB,GAAGjqB,EAAEI,CAAC,EAAEJ,EAAE,QAAQ,SAASA,EAAEswB,GAAEtwB,EAAE,OAAO,EAAEI,EAAEkwB,GAAElwB,EAAE,OAAO,GAAGy0B,GAAG70B,EAAE,MAAMI,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO2qB,EAAE,UAAU9J,GAAG5gB,CAAC,CAAC,CAAC,IAAIioC,GAAGtc,EAAE,CAAC,SAASqc,EAAE,CAAC,EAAE,SAASE,GAAGzoC,EAAE,EAAEE,EAAE,CAAC4X,EAAE5X,IAAI,WAAWA,IAAI,YAAY,IAAI,+DAA+DA,IAAI,EAAE,IAAII,EAAEyrB,EAAE/rB,EAAE,IAAI,WAAW,EAAE,GAAGM,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,gEAAgE,EAAEwX,EAAE,EAAE,SAASxX,EAAE,KAAK,IAAI,wCAAwCA,EAAE,aAAa,EAAE,SAAS,EAAE,IAAIC,EAAEL,IAAI,UAAU,EAAE,EAAE,QAAQ+B,EAAE,EAAEA,EAAE3B,EAAE,KAAK2B,IAAI6V,EAAE,EAAE7V,GAAG,SAAS,EAAE,IAAI,uDAAuD,EAAE6V,EAAE,EAAE7V,GAAG,IAAI,GAAG,EAAEA,GAAG,IAAI3B,EAAE,MAAM2B,GAAG1B,GAAG,EAAE0B,GAAG,IAAI,GAAG,EAAEA,GAAG,IAAI3B,EAAE,MAAM2B,GAAG1B,EAAE,IAAI,wBAAwB0B,wCAAwC3B,EAAE,MAAM2B,GAAG1B,uCAAuCD,EAAE,OAAO,EAAE,IAAI,EAAE,CAAC,SAAS,EAAE,KAAKJ,CAAC,EAAE,EAAE,CAAC,EAAEI,CAAC,EAAE,OAAO2qB,EAAE,UAAU7J,GAAG,EAAE,CAAC,CAAC,CAAC,IAAIsnB,GAAGxc,EAAE,CAAC,WAAWuc,EAAE,CAAC,EAAE,SAASE,GAAG3oC,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,KAAK,EAAEM,EAAEyrB,EAAE,EAAE,IAAI,KAAK,EAAE,CAAC7rB,EAAEI,CAAC,EAAE6pB,GAAGjqB,EAAEI,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO2qB,EAAE,UAAU5J,GAAG9gB,CAAC,CAAC,CAAC,IAAIqoC,GAAG1c,EAAE,CAAC,KAAKyc,EAAE,CAAC,EAAE,SAASE,GAAG7oC,EAAE,EAAE,KAAKE,EAAE,GAAG,CAACF,EAAE+rB,EAAE/rB,EAAE,IAAI,SAAS,EAAE,IAAIM,EAAEuY,GAAG,EAAE7Y,EAAE,KAAK,EAAEO,EAAE4nC,GAAGnoC,EAAEM,EAAEJ,CAAC,EAAE,EAAEK,EAAE,MAAML,IAAI,EAAE+hC,GAAG1hC,EAAE,MAAMD,CAAC,GAAG,IAAI,EAAE0iC,GAAGyD,GAAGjW,GAAExwB,EAAE,SAAS,EAAEi8B,EAAE17B,EAAE,CAAC,CAAC,CAAC,EAAE0B,EAAEkmC,GAAG,EAAE7nC,EAAEJ,CAAC,EAAE,MAAM,CAAC,KAAKK,EAAE,SAAS0B,CAAC,CAAC,CAAC,IAAI6mC,GAAG5c,EAAE,CAAC,SAAS2c,EAAE,CAAC,EAAE,SAASE,GAAG/oC,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEwrB,EAAE,EAAE,OAAO,cAAc,EAAE,EAAEC,GAAG9rB,EAAE,IAAI,cAAc,EAAE,EAAE8rB,GAAG1rB,EAAE,IAAI,cAAc,EAAE2B,EAAE1B,EAAE2B,EAAE,CAAC,EAAE,QAAQW,EAAE,EAAEA,EAAE7C,EAAE,OAAO6C,IAAI,CAAC,IAAIC,EAAE9C,EAAE6C,GAAGZ,EAAE,EAAEY,GAAG,EAAEA,EAAE,EAAEX,EAAE,KAAKY,EAAE,EAAE,EAAEZ,EAAE,KAAKY,EAAE,EAAE,EAAEb,EAAEa,EAAE,EAAE,CAAC,IAAIX,EAAE,CAAC,EAAES,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEX,EAAE,OAAOW,GAAG,EAAEV,EAAE,KAAKD,EAAEW,EAAE,EAAED,EAAE,KAAKV,EAAEW,EAAE,EAAE,EAAE,MAAM,CAACV,EAAES,CAAC,CAAC,CAAC,IAAIomC,GAAG9c,EAAE,CAAC,cAAc6c,EAAE,CAAC,EAAE,SAASE,GAAGjpC,EAAE,EAAEE,EAAEI,EAAE,GAAG,CAAC,IAAIC,EAAEwrB,EAAE/rB,EAAE,SAAS,aAAa,EAAE,EAAEO,EAAE,KAAK,EAAEA,EAAE,KAAK,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,+DAA+D,IAAI,EAAE,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,gDAAgD,GAAG,EAAEL,EAAEA,GAAG,KAAK,OAAO,EAAE,IAAIgC,EAAE,CAAC,OAAO,IAAI,EAAE+5B,EAAE17B,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEA,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,KAAKL,EAAE,WAAWI,CAAC,EAAEsC,EAAEqoB,EAAE,UAAU3J,GAAGpf,EAAE,CAAC,EAAE,OAAO,IAAI,EAAE+5B,EAAEr5B,EAAE,CAACA,EAAE,IAAI,CAAC,EAAEA,CAAC,CAAC,IAAIsmC,GAAGhd,EAAE,CAAC,aAAa+c,EAAE,CAAC,EAAE,SAASE,GAAGnpC,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,WAAW,mBAAmB,EAAEM,EAAEyrB,EAAE,EAAE,IAAI,WAAW,mBAAmB,EAAE,CAAC7rB,EAAEI,CAAC,EAAE6pB,GAAGjqB,EAAEI,CAAC,EAAEy0B,GAAG70B,EAAE,MAAMI,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO2qB,EAAE,UAAUxJ,GAAGlhB,CAAC,CAAC,CAAC,IAAI6oC,GAAGld,EAAE,CAAC,UAAUid,EAAE,CAAC,EAAE,SAASE,GAAGrpC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,UAAU,CAAC,EAAE,OAAOirB,EAAE,UAAUpJ,GAAG3hB,CAAC,CAAC,CAAC,IAAIopC,GAAGpd,EAAE,CAAC,UAAUmd,EAAE,CAAC,EAAE,SAASE,GAAGvpC,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,KAAK,cAAc,EAAEM,EAAEyrB,EAAE,EAAE,KAAK,cAAc,EAAEjU,EAAE5X,EAAE,OAAO,GAAGI,EAAE,OAAO,EAAE,IAAI,+DAA+DJ,EAAE,YAAYI,EAAE,OAAO,EAAE,IAAIC,EAAE07B,EAAE/7B,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE,EAAE+7B,EAAE37B,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,OAAOuyB,GAAGtyB,EAAE,CAAC,CAAC,CAAC,IAAIipC,GAAGtd,EAAE,CAAC,cAAcqd,EAAE,CAAC,EAAE,SAASE,GAAGzpC,EAAE,EAAEE,EAAE,EAAE,CAAC,IAAII,EAAEyrB,EAAE/rB,EAAE,IAAI,KAAK,EAAE,GAAGM,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,oDAAoD,EAAE,IAAIC,EAAE,CAAC,SAAS,EAAE,cAAcL,CAAC,EAAE,EAAE,CAAC,EAAEI,CAAC,EAAE,OAAO2qB,EAAE,UAAUjJ,GAAG,EAAEzhB,CAAC,CAAC,CAAC,IAAImpC,GAAGxd,EAAE,CAAC,KAAKud,EAAE,CAAC,EAAE,SAASE,GAAG3pC,EAAE,EAAEE,EAAE,EAAE,CAAC,OAAO4X,EAAE,EAAE,SAAS,EAAE,IAAI,kDAAkD,EAAE4xB,GAAG1pC,EAAE,CAAC,CAAC,EAAEE,CAAC,CAAC,CAAC,IAAI0pC,GAAG1d,EAAE,CAAC,OAAOyd,EAAE,CAAC,EAAE,SAASE,GAAG7pC,EAAE,EAAEE,EAAE,EAAE,CAAC,OAAO4X,EAAE,EAAE,SAAS,GAAG,EAAE,GAAG,SAAS,GAAG,EAAE,GAAG,SAAS,EAAE,IAAI,uDAAuD,EAAE4xB,GAAG1pC,EAAE,EAAEE,CAAC,CAAC,CAAC,IAAI4pC,GAAG5d,EAAE,CAAC,OAAO2d,EAAE,CAAC,EAAE,SAASE,GAAG/pC,EAAE,EAAEE,EAAE,EAAE,CAAC,OAAO4X,EAAE,EAAE,SAAS,GAAG,EAAE,GAAG,SAAS,GAAG,EAAE,GAAG,SAAS,GAAG,EAAE,GAAG,SAAS,EAAE,IAAI,uDAAuD,EAAE4xB,GAAG1pC,EAAE,EAAEE,CAAC,CAAC,CAAC,IAAI8pC,GAAG9d,EAAE,CAAC,OAAO6d,EAAE,CAAC,EAAE,SAASE,GAAGjqC,EAAE,EAAEE,EAAE,EAAE,CAAC,OAAO4X,EAAE,EAAE,SAAS,GAAG,EAAE,GAAG,SAAS,GAAG,EAAE,GAAG,SAAS,GAAG,EAAE,GAAG,SAAS,GAAG,EAAE,GAAG,SAAS,EAAE,IAAI,uDAAuD,EAAE4xB,GAAG1pC,EAAE,EAAEE,CAAC,CAAC,CAAC,IAAIgqC,GAAGhe,EAAE,CAAC,OAAO+d,EAAE,CAAC,EAAE,SAASE,GAAGnqC,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEyrB,EAAE/rB,EAAE,IAAI,gBAAgB,EAAE8X,EAAExX,EAAE,MAAM,EAAE,EAAE,OAAO,IAAI,cAAcA,EAAE,sCAAsC,EAAE,QAAQ,EAAEwX,EAAE5X,EAAE,SAAS,EAAE,OAAO,IAAI,qBAAqBA,EAAE,wCAAwC,EAAE,QAAQ,EAAE4X,EAAExX,EAAE,MAAM,OAAO,CAAC,EAAE2B,EAAEC,IAAIA,EAAE,GAAGA,GAAG,EAAE,OAAO,IAAID,EAAE/B,EAAEgC,EAAE,GAAG,GAAGhC,EAAEgC,EAAE,GAAG,IAAI,EAAEA,EAAE,KAAK,EAAE,EAAE,EAAE,EAAE,IAAI,4BAA4B5B,EAAE,MAAM,MAAM,CAAC,mBAAmBJ,EAAE,SAAS,sCAAsC,EAAE,SAAS,GAAG,EAAE,IAAIK,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,SAASJ,CAAC,EAAE,OAAO+qB,EAAE,UAAUjH,GAAGzjB,EAAE,CAAC,CAAC,CAAC,IAAI6pC,GAAGle,EAAE,CAAC,gBAAgBie,EAAE,CAAC,EAAE,SAASE,GAAGrqC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,EAAE,CAAC,GAAG,GAAG,OAAO,EAAE,GAAGD,IAAI,IAAIA,EAAE,SAAS,IAAI2B,EAAE8pB,EAAE/rB,EAAE,IAAI,SAAS,EAAEkC,EAAED,EAAEE,EAAE,GAAGF,EAAE,OAAO,IAAIE,EAAE,GAAGD,EAAE+5B,EAAEh6B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG6V,EAAEgkB,GAAG,EAAEv7B,CAAC,EAAE,IAAI,qEAAqE,oBAAoBA,IAAI,EAAE,IAAIqC,EAAEq4B,GAAG/4B,EAAE,MAAM,EAAE,EAAE3B,EAAED,CAAC,EAAEuC,EAAE,CAACD,EAAE,eAAeA,EAAE,aAAa,EAAEE,EAAExC,IAAI,OAAOwC,EAAEwnC,GAAG,CAAC1nC,EAAE,aAAaA,EAAE,WAAW,EAAEC,CAAC,EAAEC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,IAAIC,EAAEF,EAAE,KAAK,GAAGA,EAAE,KAAK,EAAE,CAACG,EAAEkB,CAAC,EAAEqmC,GAAG,CAAC3nC,EAAE,SAASA,EAAE,OAAO,EAAEC,EAAEC,CAAC,EAAE,EAAEC,EAAEzC,EAAE,QAAQiH,EAAExE,EAAEb,EAAEkoC,GAAGloC,EAAEW,EAAEG,CAAC,EAAE2B,GAAGzE,IAAI,MAAM,IAAIi8B,GAAG50B,EAAE,EAAE,EAAE,EAAE,CAAC,EAAE,IAAIogC,GAAGpgC,EAAE,EAAE,EAAE,EAAE,CAAC,GAAG,EAAE3C,EAAE7B,EAAE4B,EAAEs4B,GAAGt4B,EAAE9B,EAAEqB,CAAC,EAAE,OAAO/B,EAAE85B,EAAEr3B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,SAAS2lC,GAAGvqC,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEJ,EAAE,IAAI0C,GAAGA,EAAE,EAAE,EAAErC,EAAEL,EAAE,IAAI0C,GAAGA,EAAE,EAAE,EAAE,EAAE5C,EAAE,OAAOM,EAAEC,CAAC,EAAE,EAAE,EAAE,IAAI,CAACqC,EAAEC,KAAKD,EAAE,EAAEC,GAAGD,GAAGA,CAAC,EAAEX,EAAE1B,EAAE,IAAI,CAACqC,EAAEC,IAAID,EAAE,EAAEC,EAAE,EAAEX,EAAE,EAAE,IAAI,CAACU,EAAEC,IAAI,CAACvC,EAAEuC,GAAGZ,EAAEY,EAAE,CAAC,EAAEV,EAAE,EAAE,IAAI,CAACS,EAAEC,IAAI,CAAC,EAAE,EAAEA,EAAE,CAAC,EAAE,MAAM,CAACX,EAAEC,CAAC,CAAC,CAAC,SAASmoC,GAAGtqC,EAAE,EAAE,CAAC,IAAI,EAAEA,EAAE,IAAI,CAACgC,EAAEC,IAAID,GAAGA,EAAE,IAAI,EAAEC,GAAG,EAAE,EAAE,IAAID,GAAGA,EAAE,CAAC,EAAEzB,EAAE,EAAE,IAAIyB,GAAG,KAAK,MAAMA,EAAE,CAAC,CAAC,EAAED,EAAE,EAAE,IAAI,CAACC,EAAEC,IAAID,EAAEzB,EAAE0B,EAAE,EAAE,OAAO,EAAE,IAAI,CAACD,EAAEC,IAAI,CAAC1B,EAAE0B,GAAGF,EAAEE,EAAE,CAAC,CAAC,CAAC,IAAIuoC,GAAGte,EAAE,CAAC,MAAMme,EAAE,CAAC,EAAE,SAASI,GAAGzqC,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,OAAO,EAAEM,EAAEyrB,EAAE,EAAE,QAAQ,OAAO,EAAExrB,EAAE,CAAC,EAAEL,EAAE,MAAMI,CAAC,EAAE,OAAO2qB,EAAE,UAAU9I,GAAG5hB,CAAC,CAAC,CAAC,IAAImqC,GAAGxe,EAAE,CAAC,OAAOue,EAAE,CAAC,EAAE,SAASE,GAAG3qC,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAII,EAAEyrB,EAAE/rB,EAAE,IAAI,MAAM,EAAEM,EAAE,QAAQ,SAASA,EAAEkwB,GAAElwB,EAAE,OAAO,GAAG,IAAIC,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAASJ,CAAC,EAAE,OAAO+qB,EAAE,UAAU7I,GAAG7hB,EAAE,CAAC,CAAC,CAAC,IAAIqqC,GAAG1e,EAAE,CAAC,MAAMye,EAAE,CAAC,EAAE,SAASE,GAAG7qC,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEP,EAAE,IAAI,CAAC4C,EAAEC,IAAIkpB,EAAEnpB,EAAE,UAAUC,IAAI,eAAe,OAAO,CAAC,EAAE,EAAEkpB,EAAE,EAAE,oBAAoB,cAAc,EAAE,EAAEA,EAAE7rB,EAAE,UAAU,eAAe,OAAO,EAAE+B,EAAE,CAAC,mBAAmB1B,EAAE,kBAAkB,EAAE,QAAQ,CAAC,EAAE2B,EAAE,CAAC,iBAAiB5B,CAAC,EAAE6B,EAAE8oB,EAAE,UAAU5I,GAAGpgB,EAAEC,CAAC,EAAE,MAAM,CAAC,mBAAmBC,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,EAAE,kBAAkBA,EAAEA,EAAE,OAAO,EAAE,CAAC,CAAC,IAAI2oC,GAAG5e,EAAE,CAAC,cAAc2e,EAAE,CAAC,EAAE,SAASE,GAAG/qC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAEwrB,EAAE/rB,EAAE,QAAQ,uBAAuB,OAAO,EAAE,EAAE+rB,EAAE,EAAE,SAAS,sBAAsB,EAAE9pB,EAAE8pB,EAAE7rB,EAAE,eAAe,uBAAuB,EAAE,KAAK,EAAEgC,EAAE5B,EAAE,IAAI,CAACuC,EAAEC,IAAIipB,EAAElpB,EAAE,UAAUC,IAAI,uBAAuB,OAAO,CAAC,EAAEX,EAAE,CAAC,MAAM,EAAE,OAAO,EAAE,aAAaF,EAAE,oBAAoBC,CAAC,EAAEU,EAAE,CAAC,kBAAkBrC,CAAC,EAAE,OAAO0qB,EAAE,UAAU3I,GAAGngB,EAAES,CAAC,CAAC,CAAC,IAAIooC,GAAG9e,EAAE,CAAC,sBAAsB6e,EAAE,CAAC,EAAE,SAASE,GAAGjrC,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE8X,GAAGpY,CAAC,EAAEO,EAAE,KAAK,GAAGL,GAAG,MAAMA,IAAI,UAAUK,EAAE,IAAI,aAAaD,CAAC,UAAUJ,IAAI,QAAQK,EAAE,IAAI,WAAWD,CAAC,UAAUJ,IAAI,OAAOK,EAAE,IAAI,WAAWD,CAAC,MAAO,OAAM,IAAI,MAAM,qBAAqBJ,GAAG,EAAE,QAAQ,EAAE,EAAE,EAAEI,EAAE,IAAIC,EAAE,GAAG,EAAE,EAAE,OAAO0qB,EAAE,WAAW1qB,EAAEP,EAAEE,CAAC,CAAC,CAAC,IAAIgrC,GAAGhf,EAAE,CAAC,MAAM+e,EAAE,CAAC,EAAME,GAAG3qC,GAAG+E,GAAG,CAAC,EAAM6lC,GAAG,KAAK,CAAC,YAAYtqC,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,KAAK,KAAKjB,EAAE,KAAK,OAAOZ,EAAE,KAAK,MAAM,EAAE,KAAK,QAAQ,IAAI,KAAK,UAAUK,EAAE,KAAK,YAAY,KAAK,MAAM,KAAK,KAAK,KAAK,OAAO,EAAE,KAAK,MAAM,KAAK,KAAK,KAAK,OAAO,GAAG,IAAIyB,EAAED,GAAG,KAAK,OAAO,EAAE,KAAK,OAAOopC,GAAG,KAAKnpC,EAAE,SAAS,CAAC,CAAC,CAAC,WAAW,CAAC,GAAG,CAAC,MAAM,KAAK,OAAO,EAAE,CAAC,IAAIzB,EAAE,KAAK,QAAQ,OAAO,KAAK,QAAQ,IAAIA,CAAC,CAAC,IAAIO,EAAEZ,EAAE,EAAE,GAAG,KAAK,CAAC,GAAG,CAAC,IAAIK,EAAEwB,EAAEC,EAAE,GAAGzB,EAAE,EAAE,KAAK,OAAO,EAAE,EAAEwB,EAAE,EAAE,KAAK,OAAO,EAAE,EAAEC,EAAEzB,EAAEA,EAAEwB,EAAEA,QAAQC,GAAG,GAAGA,IAAI,GAAG,IAAIC,EAAE,KAAK,KAAK,GAAG,KAAK,IAAID,CAAC,EAAEA,CAAC,EAAElB,EAAE,KAAK,KAAK,KAAK,OAAOP,EAAE0B,EAAE/B,EAAE,KAAK,KAAK,KAAK,OAAO6B,EAAEE,GAAG,CAAC,KAAK,WAAW,KAAK,iBAAiBnB,CAAC,KAAK,EAAE,GAAG,CAAC,OAAO,CAAC,KAAK,WAAW,KAAK,iBAAiBZ,CAAC,KAAK,KAAK,QAAQ,KAAK,aAAaA,CAAC,GAAG,KAAK,aAAaY,CAAC,CAAC,CAAC,aAAaA,EAAE,CAAC,OAAO,KAAK,OAAO,MAAM,KAAK,QAAQ,UAAUA,EAAE,KAAK,MAAMA,CAAC,CAAC,CAAC,iBAAiBA,EAAE,CAAC,OAAOA,GAAG,KAAK,OAAOA,GAAG,KAAK,KAAK,CAAC,EAAEuqC,GAAG,KAAK,CAAC,YAAYvqC,EAAEZ,EAAE,EAAEK,EAAE,CAAC,KAAK,MAAMO,EAAE,KAAK,KAAK,EAAEZ,EAAE,KAAK,MAAM,EAAE,IAAI6B,EAAExB,GAAG,KAAK,OAAO,EAAE,KAAK,MAAM4qC,GAAG,KAAKppC,EAAE,SAAS,CAAC,EAAE,KAAK,MAAM,IAAIqpC,GAAG,EAAE,EAAE,EAAE,GAAG,KAAK,MAAM,CAAC,EAAEtqC,EAAE,EAAE,KAAK,EAAEA,EAAE,EAAE,EAAE,KAAK,EAAEA,EAAE,EAAE,EAAE,KAAK,EAAE,EAAE,KAAK,KAAK,EAAE,KAAK,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAE,OAAO,CAAC,GAAGzB,EAAE,KAAK,MAAM,UAAU,EAAEyB,EAAE,EAAE,KAAK,EAAEzB,QAAQyB,GAAG,GAAG,GAAGA,GAAGA,EAAEA,EAAElB,EAAEP,EAAEA,EAAEL,EAAE,EAAE,KAAKY,EAAEA,EAAE,EAAE,GAAGA,EAAE,KAAK,GAAG,EAAEkB,EAAE,KAAK,IAAIA,CAAC,GAAGD,EAAE,KAAK,MAAM,EAAEA,EAAE7B,GAAG,KAAK,IAAI6B,CAAC,EAAE,EAAE,KAAK,CAAC,OAAOC,EAAE,EAAE,KAAK,KAAK,KAAK,EAAEA,EAAE,KAAK,MAAM,IAAIA,GAAG,KAAK,IAAI,KAAK,MAAM,EAAE,EAAE,KAAK,KAAK,GAAG,KAAK,aAAaA,CAAC,CAAC,CAAC,aAAalB,EAAE,CAAC,OAAO,KAAK,QAAQ,UAAUA,EAAE,KAAK,MAAMA,CAAC,CAAC,CAAC,EAAEwqC,GAAG,KAAK,CAAC,YAAYxqC,EAAE,EAAEZ,EAAE,EAAE,EAAEK,EAAE,CAAC,GAAG,KAAK,eAAe,IAAI,KAAK,OAAO,MAAM,KAAK,QAAQ,UAAU,KAAK,IAAIO,EAAE,KAAK,MAAMZ,EAAEY,EAAE,KAAK,MAAM,EAAEP,GAAG,OAAOA,EAAE,KAAK,OAAO,GAAG,OAAOA,GAAG,WAAWA,EAAEA,EAAE,SAAS,GAAG,CAAC,KAAK,eAAe,GAAG,KAAK,OAAO,EAAE,MAAM,IAAI,MAAM,0BAA0BO,OAAOZ,+BAA+B,EAAE,KAAK,OAAOirC,GAAG,KAAK5qC,CAAC,CAAC,CAAC,aAAaO,EAAE,CAAC,OAAO,KAAK,eAAe,EAAEA,EAAE,KAAK,MAAMA,CAAC,CAAC,CAAC,WAAW,CAAC,OAAO,KAAK,aAAa,KAAK,IAAI,KAAK,MAAM,KAAK,OAAO,CAAC,CAAC,CAAC,EAAE,SAASyqC,GAAGvrC,EAAE,EAAEE,EAAE,EAAEI,EAAE,UAAUC,EAAE,CAAC,GAAGL,GAAG,OAAOA,EAAE,GAAGI,GAAG,OAAOA,EAAE,WAAWA,IAAI,WAAWA,IAAI,QAAQ,MAAM,IAAI,MAAM,yBAAyBA,GAAG,EAAE,IAAI,EAAE,IAAI+qC,GAAG,EAAEnrC,EAAEI,EAAEC,CAAC,EAAE,EAAE+vB,GAAGtwB,EAAEM,CAAC,EAAE,QAAQ2B,EAAE,EAAEA,EAAE,EAAE,OAAO,OAAOA,IAAI,EAAE,OAAOA,GAAG,EAAE,UAAU,EAAE,OAAO,EAAE,SAAS,CAAC,CAAC,IAAIupC,GAAGtf,EAAE,CAAC,aAAaqf,EAAE,CAAC,EAAE,SAASE,GAAGzrC,EAAE,EAAE,EAAEE,EAAE,EAAEI,EAAEC,EAAE,CAAC,GAAGD,GAAG,MAAMA,IAAI,OAAO,MAAM,IAAI,MAAM,yBAAyBA,GAAG,EAAE,IAAI,EAAE,IAAI8qC,GAAG,EAAElrC,EAAEI,EAAE,GAAGC,CAAC,EAAE,EAAE+vB,GAAGtwB,EAAEM,CAAC,EAAE,QAAQ2B,EAAE,EAAEA,EAAE,EAAE,OAAO,OAAOA,IAAI,EAAE,OAAOA,GAAG,EAAE,UAAU,EAAE,OAAO,EAAE,SAAS,CAAC,CAAC,IAAIypC,GAAGxf,EAAE,CAAC,cAAcuf,EAAE,CAAC,EAAE,SAASE,GAAG3rC,EAAE,EAAEE,EAAE,CAAC,GAAG,GAAG,MAAM,IAAI,OAAO,MAAM,IAAI,MAAM,yBAAyB,GAAG,EAAE,OAAOwrC,GAAG1rC,EAAE,EAAE,EAAE,EAAEE,CAAC,CAAC,CAAC,IAAI0rC,GAAG1f,EAAE,CAAC,sBAAsByf,EAAE,CAAC,EAAE,SAASE,GAAG7rC,EAAE,EAAE,EAAEE,EAAE,EAAEI,EAAE,UAAUC,EAAE,CAAC,IAAI,EAAE+vB,GAAGtwB,EAAEM,CAAC,EAAE,EAAE,IAAIgrC,GAAG,EAAEprC,EAAE,KAAKK,CAAC,EAAE,QAAQ0B,EAAE,EAAEA,EAAE,EAAE,OAAO,OAAOA,IAAI,EAAE,OAAOA,GAAG,EAAE,UAAU,EAAE,OAAO,EAAE,SAAS,CAAC,CAAC,IAAI6pC,GAAG5f,EAAE,CAAC,eAAe2f,EAAE,CAAC,EAAE,SAASE,GAAG/rC,EAAE,EAAEE,EAAE,EAAEI,EAAE,UAAU,CAAC,GAAGJ,IAAI,EAAE,MAAM,IAAI,MAAM,4BAA4B,EAAE,IAAIK,EAAE,CAAC,MAAMP,EAAE,KAAK,EAAE,KAAKE,EAAE,MAAMI,CAAC,EAAE,OAAO2qB,EAAE,UAAU1I,GAAG,CAAC,EAAEhiB,CAAC,CAAC,CAAC,SAASyrC,GAAGhsC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,YAAY,CAAC,EAAE,OAAOirB,EAAE,UAAUxI,GAAGviB,CAAC,CAAC,CAAC,IAAI+rC,GAAG/f,EAAE,CAAC,YAAY8f,EAAE,CAAC,EAAE,SAASE,GAAGlsC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,MAAM,CAAC,EAAE,OAAOirB,EAAE,UAAUvI,GAAGxiB,CAAC,CAAC,CAAC,IAAIisC,GAAGjgB,EAAE,CAAC,MAAMggB,EAAE,CAAC,EAAE,SAASE,GAAGpsC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,OAAO,CAAC,EAAE,OAAOirB,EAAE,UAAUjI,GAAG9iB,CAAC,CAAC,CAAC,IAAImsC,GAAGngB,EAAE,CAAC,OAAOkgB,EAAE,CAAC,EAAE,SAASE,GAAGtsC,EAAE,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE+rB,EAAE/rB,EAAE,IAAI,SAAS,CAAC,EAAEO,EAAE,CAAC,KAAK,CAAC,EAAE,OAAO0qB,EAAE,UAAUhI,GAAG,EAAE1iB,CAAC,CAAC,CAAC,IAAIgsC,GAAGrgB,EAAE,CAAC,SAASogB,EAAE,CAAC,EAAE,SAASE,GAAGxsC,EAAE,CAAC,IAAI,EAAE+rB,EAAE/rB,EAAE,IAAI,SAAS,EAAE,OAAO8X,EAAE,EAAE,OAAO,EAAE,IAAI,qDAAqD,EAAE,OAAO,EAAEy0B,GAAG,EAAE,CAAC,CAAC,CAAC,IAAIE,GAAGvgB,EAAE,CAAC,WAAWsgB,EAAE,CAAC,EAAE,SAASE,GAAG1sC,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,SAAS,EAAE,OAAO8X,EAAE5X,EAAE,OAAO,EAAE,IAAI,qDAAqDA,EAAE,OAAO,EAAEqsC,GAAGrsC,EAAE,CAAC,CAAC,CAAC,IAAIysC,GAAGzgB,EAAE,CAAC,WAAWwgB,EAAE,CAAC,EAAE,SAASE,GAAG5sC,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,SAAS,EAAE,OAAO8X,EAAE5X,EAAE,OAAO,EAAE,IAAI,qDAAqDA,EAAE,OAAO,EAAEqsC,GAAGrsC,EAAE,CAAC,CAAC,CAAC,IAAI2sC,GAAG3gB,EAAE,CAAC,WAAW0gB,EAAE,CAAC,EAAE,SAASE,GAAG9sC,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,SAAS,EAAE,OAAO8X,EAAE5X,EAAE,OAAO,EAAE,IAAI,qDAAqDA,EAAE,OAAO,EAAEqsC,GAAGrsC,EAAE,CAAC,CAAC,CAAC,IAAI6sC,GAAG7gB,EAAE,CAAC,WAAW4gB,EAAE,CAAC,EAAE,SAASE,GAAGhtC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,OAAO,CAAC,EAAE,OAAOirB,EAAE,UAAU/H,GAAGhjB,CAAC,CAAC,CAAC,IAAI+sC,GAAG/gB,EAAE,CAAC,OAAO8gB,EAAE,CAAC,EAAE,SAASE,GAAGltC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,QAAQ,SAAS,CAAC,EAAE,OAAOirB,EAAE,UAAU9H,GAAGjjB,CAAC,CAAC,CAAC,IAAIitC,GAAGjhB,EAAE,CAAC,OAAOghB,EAAE,CAAC,EAAE,SAASE,GAAGptC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,MAAM,CAAC,EAAE,OAAOirB,EAAE,UAAU1H,GAAGrjB,CAAC,CAAC,CAAC,IAAImtC,GAAGnhB,EAAE,CAAC,MAAMkhB,EAAE,CAAC,EAAE,SAASE,GAAGttC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,OAAO,CAAC,IAAI0B,EAAE8pB,EAAE/rB,EAAE,IAAI,iBAAiB,EAAEkC,EAAE6pB,EAAE,EAAE,kBAAkB,iBAAiB,EAAE5pB,EAAE4pB,EAAE7rB,EAAE,kBAAkB,iBAAiB,EAAE0C,EAAEX,EAAEY,EAAE,GAAG,GAAGZ,EAAE,OAAO,IAAIY,EAAE,GAAGD,EAAEq5B,EAAEh6B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,IAAI,OAAO,MAAM,IAAI,MAAM,oFAAoF,EAAE6V,EAAElV,EAAE,OAAO,EAAE,IAAI,gEAAgEA,EAAE,OAAO,EAAEkV,EAAE5V,EAAE,OAAO,EAAE,IAAI,2EAA2EA,EAAE,OAAO,EAAE4V,EAAE3V,EAAE,OAAO,EAAE,IAAI,2EAA2ED,EAAE,OAAO,EAAE4V,EAAE3V,EAAE,MAAM,KAAK,EAAE,IAAI,yFAAyFA,EAAE,MAAM,KAAK,EAAE2V,EAAE3V,EAAE,MAAM,KAAK,EAAE,IAAI,yFAAyFA,EAAE,MAAM,KAAK,EAAE,IAAIW,EAAEZ,EAAE,MAAM,GAAGa,EAAEb,EAAE,MAAM,GAAG4V,EAAE3V,EAAE,MAAM,KAAKW,EAAEC,EAAE,IAAI,6EAA6ED,EAAEC,cAAcZ,EAAE,MAAM,KAAK,EAAE,IAAIa,EAAEy9B,GAAG79B,EAAEV,EAAE5B,EAAEC,EAAE,EAAE,CAAC,EAAE4D,EAAE46B,GAAG/7B,EAAEb,EAAE,EAAE,QAAQ,CAAC,EAAE,OAAOU,EAAEo5B,EAAE93B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIopC,GAAGrhB,EAAE,CAAC,iBAAiBohB,EAAE,CAAC,EAAE,eAAeE,GAAGxtC,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,WAAW,EAAEM,EAAEyrB,EAAE,EAAE,IAAI,WAAW,EAAEjU,EAAE5X,EAAE,QAAQI,EAAE,MAAM,IAAI,kDAAkDJ,EAAE,iBAAiBI,EAAE,SAAS,EAAEwX,EAAE5X,EAAE,OAAO,EAAE,IAAI,qCAAqCA,EAAE,SAAS,EAAE4X,EAAExX,EAAE,OAAO,EAAE,IAAI,qCAAqCA,EAAE,SAAS,EAAE,IAAIC,EAAE,MAAML,EAAE,KAAK,EAAE,EAAE,MAAMI,EAAE,KAAK,EAAE,EAAE,IAAI,IAAI,CAAC,EAAE2B,EAAE,EAAE,QAAQW,EAAE,EAAEA,EAAErC,EAAE,OAAOqC,IAAI,EAAE,IAAIrC,EAAEqC,EAAE,GAAGX,IAAI,IAAIC,EAAE,IAAImnB,GAAG,CAACpnB,CAAC,EAAE/B,EAAE,KAAK,EAAEiC,EAAE,IAAIknB,GAAG,CAACpnB,CAAC,EAAE,OAAO,EAAE,QAAQW,EAAE,EAAEC,EAAE,EAAED,EAAErC,EAAE,OAAOqC,IAAI,EAAE,IAAIrC,EAAEqC,EAAE,IAAIV,EAAE,OAAOW,GAAGtC,EAAEqC,GAAGT,EAAE,OAAOU,GAAGD,EAAEC,KAAK,MAAM,CAACX,EAAE,SAAS,EAAEC,EAAE,SAAS,CAAC,CAAC,CAAC,IAAIsrC,GAAGD,GAAG,SAASE,GAAG1tC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,MAAM,CAAC,EAAE,OAAOirB,EAAE,UAAUtH,GAAGzjB,CAAC,CAAC,CAAC,IAAIytC,GAAGzhB,EAAE,CAAC,MAAMwhB,EAAE,CAAC,EAAE,SAASE,GAAG5tC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,MAAM,SAAS,CAAC,EAAE,OAAOirB,EAAE,UAAUxH,GAAGvjB,CAAC,CAAC,CAAC,IAAI2tC,GAAG3hB,EAAE,CAAC,KAAK0hB,EAAE,CAAC,EAAE,SAASE,GAAG9tC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,MAAM,CAAC,EAAE,OAAOirB,EAAE,UAAUvH,GAAGxjB,CAAC,CAAC,CAAC,IAAI6tC,GAAG7hB,EAAE,CAAC,MAAM4hB,EAAE,CAAC,EAAE,SAASE,GAAGhuC,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEyrB,EAAE/rB,EAAE,IAAI,SAAS,EAAE,OAAO8X,EAAExX,EAAE,OAAO,EAAE,IAAI,mDAAmDA,EAAE,aAAa,EAAEq8B,GAAGr8B,EAAE,CAAC,CAAC,EAAE,CAACJ,CAAC,CAAC,CAAC,CAAC,IAAI+tC,GAAG/hB,EAAE,CAAC,SAAS8hB,EAAE,CAAC,EAAE,SAASE,GAAGluC,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEyrB,EAAE/rB,EAAE,IAAI,SAAS,EAAE,OAAO8X,EAAExX,EAAE,OAAO,EAAE,IAAI,mDAAmDA,EAAE,aAAa,EAAEq8B,GAAGr8B,EAAE,EAAEJ,CAAC,CAAC,CAAC,IAAIiuC,GAAGjiB,EAAE,CAAC,SAASgiB,EAAE,CAAC,EAAE,SAASE,GAAGpuC,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEyrB,EAAE/rB,EAAE,IAAI,SAAS,EAAE,OAAO8X,EAAExX,EAAE,OAAO,EAAE,IAAI,mDAAmDA,EAAE,aAAa,EAAEq8B,GAAGr8B,EAAE,EAAEJ,CAAC,CAAC,CAAC,IAAImuC,GAAGniB,EAAE,CAAC,SAASkiB,EAAE,CAAC,EAAE,SAASE,GAAGtuC,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEyrB,EAAE/rB,EAAE,IAAI,SAAS,EAAE,OAAO8X,EAAExX,EAAE,OAAO,EAAE,IAAI,mDAAmDA,EAAE,aAAa,EAAEq8B,GAAGr8B,EAAE,EAAEJ,CAAC,CAAC,CAAC,IAAIquC,GAAGriB,EAAE,CAAC,SAASoiB,EAAE,CAAC,EAAE,SAASE,GAAGxuC,EAAE,EAAE,GAAG,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,SAAS,UAAU,SAAS,EAAE,GAAG,IAAI,KAAK,EAAEE,EAAE,KAAK,GAAG,IAAIA,EAAE,KAAK,EAAE,MAAM,MAAM,4EAA4EA,EAAE,oBAAoB,GAAG,EAAE,IAAII,EAAE,CAAC,OAAOJ,CAAC,EAAEK,EAAE,CAAC,IAAI,CAAC,EAAE,OAAO0qB,EAAE,UAAU/G,GAAG5jB,EAAEC,CAAC,CAAC,CAAC,IAAIkuC,GAAGviB,EAAE,CAAC,SAASsiB,EAAE,CAAC,EAAE,SAASE,GAAG1uC,EAAE,CAAC8X,EAAE9X,EAAE,QAAQ,YAAY,IAAI,6DAA6DA,EAAE,QAAQ,EAAE,IAAI,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAOirB,EAAE,UAAUrM,GAAG,CAAC,CAAC,CAAC,IAAI+vB,GAAGziB,EAAE,CAAC,KAAKwiB,EAAE,CAAC,EAAE,SAASE,GAAG5uC,EAAE,CAAC8X,EAAE9X,EAAE,QAAQ,YAAY,IAAI,8DAA8DA,EAAE,QAAQ,EAAE,IAAI,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAOirB,EAAE,UAAU1L,GAAG,CAAC,CAAC,CAAC,IAAIsvB,GAAG3iB,EAAE,CAAC,MAAM0iB,EAAE,CAAC,EAAE,SAASE,GAAG9uC,EAAE,CAAC,IAAI,EAAEA,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAGE,EAAEF,EAAE,KAAK,EAAEM,EAAE,GAAG,GAAG,EAAE,CAAC,IAAIC,EAAE07B,EAAEj8B,EAAE,CAACE,EAAE,CAAC,CAAC,EAAEI,EAAEuuC,GAAGtuC,CAAC,CAAC,KAAK,CAAC,IAAIA,EAAE,CAACL,EAAE,GAAG,EAAE,EAAE,EAAE,EAAE+7B,EAAEvH,GAAG10B,CAAC,EAAE,CAACE,EAAE,CAAC,CAAC,EAAE,EAAE+7B,EAAE3H,GAAGt0B,CAAC,EAAE,CAACE,EAAE,CAAC,CAAC,EAAE+B,EAAEsqC,GAAG5P,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAACz8B,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,EAAEgC,EAAEi3B,EAAEoT,GAAG5P,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAACz8B,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE0iC,GAAG,EAAE,CAAC,EAAEzgC,EAAEo6B,GAAG,CAAC,EAAEt6B,CAAC,EAAE,CAAC,EAAEW,EAAE25B,GAAG,CAAC,EAAEr6B,CAAC,EAAE,CAAC,EAAEW,EAAEo5B,EAAE7P,GAAGjqB,EAAES,CAAC,EAAE,CAACrC,EAAE,GAAGA,EAAE,EAAE,CAAC,EAAED,EAAEuuC,GAAGhsC,CAAC,CAAC,CAAC,GAAGvC,EAAEo0B,GAAGp0B,CAAC,EAAEN,EAAE,OAAO,GAAGA,EAAE,MAAM,KAAK,EAAE,CAAC,IAAIO,EAAED,EAAE,EAAEN,EAAE,MAAM,GAAGM,EAAE27B,EAAE37B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAG,EAAEA,EAAE,MAAM,EAAE,CAAC,EAAEC,EAAE,QAAQ,CAAC,CAAC,OAAOD,CAAC,CAAC,IAAIyuC,GAAG7iB,EAAE,CAAC,OAAO4iB,EAAE,CAAC,EAAE,SAASE,GAAGhvC,EAAE,EAAEE,EAAE,EAAE,CAAC,IAAIK,EAAE,CAAC,EAAEwrB,EAAE/rB,EAAE,IAAI,OAAO,CAAC,EAAE+B,EAAE,CAAC,gBAAgB,EAAE,KAAK7B,CAAC,EAAE,OAAO+qB,EAAE,UAAUhH,GAAG1jB,EAAEwB,CAAC,CAAC,CAAC,IAAIktC,GAAG/iB,EAAE,CAAC,OAAO8iB,EAAE,CAAC,EAAE,SAASE,GAAGlvC,EAAE,EAAE,CAAC8X,EAAE9X,EAAE,QAAQ,UAAU,IAAI,mDAAmDA,EAAE,OAAO,EAAE,IAAIE,EAAEF,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAGM,EAAEN,EAAE,KAAKE,EAAEK,EAAE,GAAG,GAAG,MAAM,EAAEL,EAAE,CAAC,IAAI8C,EAAEhD,EAAE,MAAM,IAAI,GAAG,CAAC,EAAEkE,EAAElE,EAAE,MAAM,IAAI,GAAG,CAAC,EAAEkE,EAAElE,EAAE,MAAM,OAAO,GAAG,EAAEO,EAAEo8B,GAAG38B,EAAEgD,EAAEkB,CAAC,EAAEhE,EAAE,CAAC,SAAS,GAAG,MAAM,EAAEA,EAAE,CAAC,IAAI8C,EAAEhD,EAAE,MAAM,IAAIkE,GAAGA,CAAC,EAAElB,EAAEhD,EAAE,MAAM,OAAO,GAAG,EAAEE,EAAEK,EAAEg8B,GAAG,CAACv8B,EAAEooC,GAAGplC,CAAC,CAAC,EAAEhD,EAAE,MAAM,OAAO,CAAC,EAAEE,EAAE,CAAC,MAAMK,EAAEP,EAAE,IAAI,EAAEmhC,GAAG5gC,CAAC,EAAE,EAAE07B,EAAE7P,GAAG7rB,EAAE,CAAC,EAAE,CAACD,EAAEJ,CAAC,CAAC,EAAE+B,EAAE0sC,GAAG,CAAC,EAAEzsC,EAAE,KAAK,MAAMhC,EAAE,CAAC,EAAE,EAAEiC,EAAEuyB,GAAGzyB,CAAC,EAAEW,EAAE0xB,GAAGryB,CAAC,EAAEY,EAAEosC,GAAG9sC,EAAE,CAACD,EAAEhC,EAAEgC,CAAC,EAAEC,EAAE,MAAM,OAAO,CAAC,EAAEW,EAAEmsC,GAAGrsC,EAAE,CAACV,EAAEhC,EAAEgC,CAAC,EAAEU,EAAE,MAAM,OAAO,CAAC,EAAEG,EAAExC,EAAE,MAAM,MAAM,EAAE,OAAOwC,EAAExC,EAAE,MAAM,OAAO,GAAG2B,EAAE+5B,EAAE7P,GAAGvpB,EAAE,GAAGC,EAAE,EAAE,EAAEC,CAAC,CAAC,CAAC,IAAIosC,GAAGjjB,EAAE,CAAC,MAAMgjB,EAAE,CAAC,EAAE,SAASE,GAAGpvC,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,mBAAmB,EAAEM,EAAEyrB,EAAE,EAAE,IAAI,mBAAmB,EAAE,CAAC7rB,EAAEI,CAAC,EAAE6pB,GAAGjqB,EAAEI,CAAC,EAAEy0B,GAAG70B,EAAE,MAAMI,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,EAAE,CAAC,EAAE,OAAO2qB,EAAE,UAAUzG,GAAGjkB,EAAE,CAAC,CAAC,CAAC,IAAI8uC,GAAGnjB,EAAE,CAAC,mBAAmBkjB,EAAE,CAAC,EAAE,SAASE,GAAGtvC,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,UAAU,mBAAmB,EAAE,OAAOi8B,EAAE/7B,EAAE4Y,GAAG5Y,EAAE,MAAM,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAIqvC,GAAGrjB,EAAE,CAAC,SAASojB,EAAE,CAAC,EAAE,SAASE,GAAGxvC,EAAE,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,GAAGhsB,EAAE,UAAU,QAAQ,mBAAmB,EAAE8X,EAAE5X,EAAE,QAAQ,EAAE,IAAI,sCAAsC,EAAEA,EAAE,OAAO,GAAG4X,EAAE,GAAG5X,EAAE,GAAG,KAAK,IAAI,oCAAoC,EAAE,IAAII,EAAEJ,EAAEK,EAAE,CAAC,KAAK,CAAC,EAAE,OAAO0qB,EAAE,UAAUlJ,GAAGzhB,EAAEC,CAAC,CAAC,CAAC,IAAIkvC,GAAGvjB,EAAE,CAAC,OAAOsjB,EAAE,CAAC,EAAE,SAASE,GAAG1vC,EAAE,EAAE,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE+rB,EAAE/rB,EAAE,IAAI,MAAM,CAAC,EAAEO,EAAE,CAAC,MAAM,CAAC,EAAE,OAAO0qB,EAAE,UAAUvF,GAAG,EAAEnlB,CAAC,CAAC,CAAC,IAAIovC,GAAGzjB,EAAE,CAAC,MAAMwjB,EAAE,CAAC,EAAE,SAASE,GAAG5vC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE0B,EAAE,EAAEC,EAAE,EAAE,CAAC,IAAIU,EAAE,CAAC,EAAEmpB,EAAE/rB,EAAE,IAAI,eAAe,mBAAmB,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,IAAIE,EAAE,QAAQI,EAAE,UAAUC,EAAE,QAAQ,EAAE,aAAa,EAAE,YAAY0B,EAAE,eAAeC,CAAC,EAAE,OAAO+oB,EAAE,UAAUvG,GAAG9hB,EAAE,CAAC,CAAC,CAAC,IAAIitC,GAAG3jB,EAAE,CAAC,cAAc0jB,EAAE,CAAC,EAAE,SAASE,GAAG9vC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE6rB,EAAE/rB,EAAE,IAAI,MAAM,SAAS,CAAC,EAAE,OAAOirB,EAAE,UAAUlG,GAAG7kB,CAAC,CAAC,CAAC,IAAI6vC,GAAG7jB,EAAE,CAAC,KAAK4jB,EAAE,CAAC,EAAE,SAASE,GAAGhwC,EAAE,EAAE,CAACiY,GAAGjY,CAAC,EAAE,IAAIE,EAAE0rB,GAAG5rB,EAAE,CAAC,EAAE,GAAGE,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,oDAAoD,EAAE,OAAOmsB,GAAGrsB,EAAE,KAAKE,EAAE,CAAC,CAAC,CAAC,SAAS+vC,GAAGjwC,EAAE,EAAEE,EAAE,CAAC,GAAG+X,GAAGjY,CAAC,EAAE,GAAG,MAAM,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,+CAA+C,EAAE,IAAIM,EAAEsrB,GAAG5rB,EAAEE,CAAC,EAAE,GAAGI,EAAE,SAAS,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,gEAAgE,EAAE,GAAGA,EAAE,SAAS,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,8EAA8E,EAAE,OAAO+rB,GAAGrsB,EAAE,EAAEM,EAAEJ,CAAC,CAAC,CAAC,SAASgwC,GAAGlwC,EAAE,EAAEE,EAAE,CAAC,GAAG+X,GAAGjY,CAAC,EAAE,GAAG,MAAM,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,gDAAgD,EAAE,IAAIM,EAAEsrB,GAAG5rB,EAAEE,CAAC,EAAE,GAAGI,EAAE,SAAS,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,oEAAoE,EAAE,GAAGA,EAAE,SAAS,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,yEAAyE,EAAE,OAAO+rB,GAAGrsB,EAAE,EAAEM,EAAEJ,CAAC,CAAC,CAAC,SAASiwC,GAAGnwC,EAAE,EAAEE,EAAE,CAAC,GAAG+X,GAAGjY,CAAC,EAAE,GAAG,MAAM,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,gDAAgD,EAAE,IAAIM,EAAEsrB,GAAG5rB,EAAEE,CAAC,EAAE,GAAGI,EAAE,SAAS,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,sEAAsE,EAAE,GAAGA,EAAE,SAAS,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,yEAAyE,EAAE,OAAO+rB,GAAGrsB,EAAE,EAAEM,EAAEJ,CAAC,CAAC,CAAC,SAASkwC,GAAGpwC,EAAE,EAAEE,EAAE,CAAC,GAAG+X,GAAGjY,CAAC,EAAE,GAAG,MAAM,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,+CAA+C,EAAE,IAAIM,EAAEsrB,GAAG5rB,EAAEE,CAAC,EAAE,GAAGI,EAAE,SAAS,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,wEAAwE,EAAE,GAAGA,EAAE,SAAS,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,yEAAyE,EAAE,OAAO,EAAE,GAAGA,EAAE+rB,GAAGrsB,EAAE,EAAEM,EAAEJ,CAAC,CAAC,CAAC,SAASmwC,GAAGrwC,EAAE,EAAE,EAAEE,EAAE,GAAG,CAAC,IAAII,EAAEyrB,EAAE/rB,EAAE,IAAI,MAAM,EAAE,GAAGM,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,oDAAoD,EAAE,IAAIC,EAAED,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAG,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,6CAA6C,GAAG,EAAE,GAAG,EAAEC,EAAE,MAAM,IAAI,MAAM,uDAAuDA,cAAc,GAAG,EAAE,IAAI,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,OAAOJ,CAAC,EAAE,CAAC+B,EAAEC,CAAC,EAAE+oB,EAAE,UAAU/F,GAAG,EAAE,CAAC,EAAE,MAAM,CAAC,OAAOjjB,EAAE,QAAQC,CAAC,CAAC,CAAC,IAAIouC,GAAGpkB,EAAE,CAAC,MAAMmkB,EAAE,CAAC,EAAE,SAASE,GAAGvwC,EAAE,EAAE,EAAEE,EAAE,EAAEI,EAAEC,EAAE,CAAC,GAAGD,GAAG,MAAMA,IAAI,OAAO,MAAM,IAAI,MAAM,mCAAmC,EAAE,IAAI,EAAE,IAAI8qC,GAAG,EAAElrC,EAAEI,EAAE,GAAGC,CAAC,EAAE,EAAE+vB,GAAGtwB,EAAEM,CAAC,EAAE,QAAQ2B,EAAE,EAAEA,EAAE,EAAE,OAAO,OAAOA,IAAI,EAAE,OAAOA,GAAG,EAAE,UAAU,EAAE,OAAO,EAAE,SAAS,CAAC,CAAC,IAAIuuC,GAAGtkB,EAAE,CAAC,iBAAiBqkB,EAAE,CAAC,EAAE,SAASE,GAAGzwC,EAAE,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,SAAS,mBAAmB,EAAE8X,EAAE5X,EAAE,KAAK,EAAE,IAAI,sCAAsC,EAAE,IAAII,EAAE,CAAC,EAAEJ,CAAC,EAAEK,EAAE,CAAC,KAAK,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE0qB,EAAE,UAAU5F,GAAG/kB,EAAEC,CAAC,EAAE,MAAM,CAAC,OAAO,EAAE,QAAQ,CAAC,CAAC,CAAC,IAAImwC,GAAGxkB,EAAE,CAAC,QAAQukB,EAAE,CAAC,EAAE,SAASE,GAAG3wC,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEyrB,EAAE/rB,EAAE,IAAI,oBAAoB,EAAEO,EAAEwrB,EAAE,EAAE,aAAa,qBAAqB,OAAO,EAAEjU,EAAEQ,GAAGpY,CAAC,EAAE,IAAI,kCAAkC,EAAE,IAAI,EAAE,CAAC,EAAEI,EAAE,WAAWC,CAAC,EAAE,EAAE,CAAC,YAAYL,CAAC,EAAE,OAAO+qB,EAAE,UAAU1F,GAAG,EAAE,CAAC,CAAC,CAAC,IAAIqrB,GAAG1kB,EAAE,CAAC,oBAAoBykB,EAAE,CAAC,EAAE,SAASE,GAAG7wC,EAAE,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,IAAI,UAAU,mBAAmB,EAAE8X,EAAE,GAAG,CAAC5X,EAAE,MAAM,QAAQ,EAAEA,EAAE,MAAM,OAAO,IAAI,UAAU,iBAAiBA,EAAE,MAAM,WAAWA,EAAE,MAAM,SAAS,EAAE,IAAII,EAAE,CAAC,MAAMJ,CAAC,EAAEK,EAAE,CAAC,KAAK,CAAC,EAAE,OAAO0qB,EAAE,UAAU3F,GAAGhlB,EAAEC,CAAC,CAAC,CAAC,IAAIuwC,GAAG5kB,EAAE,CAAC,SAAS2kB,EAAE,CAAC,EAAE,SAASE,GAAG/wC,EAAE,EAAE,CAAC,OAAOwnC,GAAGxnC,EAAE,EAAE,OAAO,CAAC,CAAC,SAASgxC,GAAGhxC,EAAE,EAAE,GAAGE,EAAEI,EAAE,CAAC,OAAO2qB,EAAE,aAAajrB,EAAE,EAAEE,EAAEI,CAAC,CAAC,CAAC,SAAS2wC,GAAGjxC,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAE,EAAE,OAAO,IAAI,EAAE,IAAIA,EAAE,KAAK,CAAC,EAAE,IAAII,EAAEgwB,GAAGtwB,EAAE,OAAO,EAAEO,EAAE+vB,GAAG,CAACpwB,EAAE,OAAOF,EAAE,MAAM,EAAE,OAAO,EAAE,QAAQ,EAAE,EAAE,EAAEE,EAAE,OAAO,IAAI,CAAC,IAAI,EAAEI,EAAE,WAAWJ,EAAE,EAAE,EAAE+B,EAAE,EAAEjC,EAAE,OAAOO,EAAE,OAAO,IAAI,EAAE0B,CAAC,CAAC,CAAC,OAAO1B,EAAE,SAAS,CAAC,CAAC,eAAe2wC,GAAGlxC,EAAE,CAAC,IAAI,EAAE+rB,EAAE/rB,EAAE,YAAY,aAAa,MAAM,EAAEE,EAAE,MAAM,EAAE,KAAK,EAAEI,EAAE2wC,GAAG,EAAE,MAAM/wC,CAAC,EAAE,OAAOF,IAAI,GAAG,EAAE,QAAQ,EAAEM,CAAC,CAAC,IAAI6wC,GAAGD,GAAG,eAAeE,GAAGpxC,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEyrB,EAAE/rB,EAAE,SAAS,UAAU,EAAEO,EAAEwrB,EAAE,EAAE,OAAO,WAAW,MAAM,EAAE,EAAE7rB,GAAG,KAAK,EAAEA,EAAE,EAAEK,EAAE,KAAK0B,EAAE3B,EAAE,MAAMwX,EAAE,EAAE,EAAE,IAAI,uBAAuB,EAAEC,GAAG9V,EAAE,MAAM,EAAE,EAAE,CAAC,EAAE1B,EAAE,MAAM,mEAAmE,EAAE,IAAI2B,EAAE,EAAE,QAAQgC,EAAE,EAAEA,EAAE,EAAE,EAAEA,IAAIhC,GAAGD,EAAEiC,GAAG,IAAI/B,EAAEF,EAAE,MAAM,EAAE,CAAC,EAAE,OAAO,CAACC,CAAC,EAAED,EAAE,MAAM,EAAE,CAAC,CAAC,EAAEW,EAAEq5B,EAAE37B,EAAE6B,CAAC,EAAEU,EAAEo5B,EAAE17B,EAAE,CAAC,EAAE,CAAC,EAAEuC,EAAE,MAAMquC,GAAGtuC,CAAC,EAAEE,EAAEwsC,GAAGzsC,EAAE,CAAC,CAAC,CAAC,EAAEE,EAAEqhC,GAAGzhC,EAAEG,EAAE,CAAC,EAAE,OAAO/C,IAAIM,GAAGA,EAAE,QAAQ,EAAE,IAAIC,GAAGA,EAAE,QAAQ,EAAEwC,EAAE,QAAQ,EAAEH,EAAE,QAAQ,EAAEC,EAAE,QAAQ,EAAEC,EAAE,QAAQ,EAAEE,CAAC,CAAC,IAAIquC,GAAGD,GAAG,SAASE,GAAGtxC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,GAAG,CAAC,IAAI,EAAEwrB,EAAE/rB,EAAE,IAAI,eAAe,EAAE,EAAE+rB,EAAE,EAAE,IAAI,eAAe,EAAE9pB,EAAE8pB,EAAE7rB,EAAE,QAAQ,eAAe,EAAE8pB,GAAG,EAAE,CAAC,EAAElS,EAAEE,GAAG,EAAE,MAAM,EAAE,KAAK,EAAE,IAAI,2BAA2B,EAAE,IAAI9V,EAAE0gC,GAAG,CAAC,EAAEzgC,EAAEskC,GAAGvkC,EAAED,CAAC,EAAEW,EAAEu2B,EAAEsN,GAAG,EAAE,CAAC,EAAEtkC,CAAC,EAAE,GAAG5B,EAAE,CAACuX,EAAExX,GAAG,KAAK,IAAI,gDAAgD,EAAE,IAAIuC,EAAEkpB,EAAEzrB,EAAE,OAAO,eAAe,EAAEsC,EAAEq2B,GAAGr2B,EAAE6jC,GAAGvkC,EAAEygC,GAAG1gC,EAAEY,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOg2B,EAAE,EAAEj2B,CAAC,CAAC,CAAC,IAAI2uC,GAAGrlB,EAAE,CAAC,eAAeolB,EAAE,CAAC,EAAE,SAASE,GAAGxxC,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEyrB,EAAE/rB,EAAE,UAAU,YAAY,OAAO,EAAEO,EAAEwrB,EAAE,EAAE,UAAU,WAAW,EAAEkK,GAAG11B,EAAED,EAAEJ,CAAC,EAAE,IAAI,EAAE,CAAC,QAAQI,EAAE,QAAQC,CAAC,EAAE,EAAE,CAAC,MAAML,CAAC,EAAE,OAAO+qB,EAAE,UAAU7H,GAAG,EAAE,CAAC,CAAC,CAAC,IAAIquB,GAAGvlB,EAAE,CAAC,WAAWslB,EAAE,CAAC,EAAE,SAASE,GAAG1xC,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAGN,EAAE,QAAQ,QAAQ,MAAM,IAAI,MAAM,8EAA8EA,EAAE,QAAQ,EAAE,GAAGA,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,sEAAsEA,EAAE,QAAQ,EAAE,IAAIO,EAAEP,EAAE,KAAK,EAAEA,EAAE,MAAM,GAAG,EAAE,EAAEA,EAAE,KAAK,EAAEA,EAAE,MAAM,GAAG,EAAE,GAAGE,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,kDAAkDA,EAAE,sBAAsB,IAAI,EAAE,IAAI,EAAE,EAAE,KAAK,GAAG,EAAE,EAAE,OAAO,GAAG,EAAE,OAAO,GAAG,IAAIK,GAAG,MAAM,IAAI,MAAM,oCAAoC,EAAE,2BAA2BA,IAAI,EAAE,GAAG,EAAE,QAAQD,EAAE,MAAM,MAAM,IAAI,MAAM,mDAAmD,CAAC,CAAC,SAASqxC,GAAG3xC,EAAE,EAAEE,EAAEI,EAAE,EAAE,CAAC,IAAIC,EAAEwrB,EAAE/rB,EAAE,gBAAgB,gBAAgB,OAAO,EAAE,EAAE+rB,EAAE,EAAE,eAAe,gBAAgB,mBAAmB,EAAE,EAAEA,EAAEzrB,EAAE,eAAe,gBAAgB,EAAE,KAAK,EAAEoxC,GAAGnxC,EAAE,EAAEL,EAAE,CAAC,EAAE,IAAI+B,EAAE,CAAC,cAAc1B,EAAE,aAAa,EAAE,aAAa,CAAC,EAAE2B,EAAE,CAAC,YAAYhC,CAAC,EAAE,OAAO+qB,EAAE,UAAU1G,GAAGtiB,EAAEC,CAAC,CAAC,CAAC,IAAI0vC,GAAG1lB,EAAE,CAAC,eAAeylB,EAAE,CAAC,EAAE,SAASE,GAAG7xC,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE,EAAE,UAAU,WAAW,OAAO,EAAExrB,EAAE,CAAC,OAAOwrB,EAAE/rB,EAAE,IAAI,WAAW,mBAAmB,EAAE,QAAQE,CAAC,EAAE,OAAO+qB,EAAE,UAAU9L,GAAG5e,CAAC,CAAC,CAAC,IAAIuxC,GAAG5lB,EAAE,CAAC,UAAU2lB,EAAE,CAAC,EAAE,SAASE,GAAG/xC,EAAE,EAAE,CAAC,GAAG,GAAG,KAAK,OAAOA,EAAE,MAAM,MAAM,EAAE,GAAGgY,GAAGhY,EAAE,MAAM,CAAC,EAAE,OAAO,EAAE,GAAGA,EAAE,MAAM,SAAS,EAAE,OAAO,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAEN,EAAE,MAAM,OAAOM,IAAI,EAAEA,IAAI,MAAMN,EAAE,MAAMM,IAAI,KAAKJ,EAAE,KAAKF,EAAE,MAAMM,EAAE,EAAEJ,EAAE,KAAK,EAAEI,EAAE,EAAE,OAAOJ,CAAC,CAAC,OAAO,CAAC,CAAC,SAAS8xC,GAAGhyC,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEwrB,EAAE/rB,EAAE,IAAI,SAAS,EAAE,GAAG8X,EAAEvX,EAAE,QAAQ,UAAU,IAAI,gFAAgFA,EAAE,uBAAuB,EAAEuX,EAAE,GAAG,GAAG,EAAE,EAAE,IAAI,qDAAqD,IAAI,EAAE,IAAI,EAAE,OAAO9X,aAAa4pB,GAAGrpB,EAAE,MAAM,EAAEA,EAAE,IAAI,EAAEwxC,GAAGxxC,EAAEL,CAAC,EAAE,EAAE,EAAE,EAAE+B,EAAEg3B,GAAGkL,GAAGtL,EAAEiT,GAAG,EAAE,EAAE,EAAE,UAAUxrC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,OAAO64B,EAAE54B,EAAE0B,CAAC,CAAC,CAAC,IAAIgwC,GAAG/lB,EAAE,CAAC,SAAS8lB,EAAE,CAAC,EAAE,SAASE,GAAGlyC,EAAE,CAAC,OAAO,KAAK,MAAM,KAAK,IAAI,EAAE,KAAK,KAAK,KAAK,IAAIA,CAAC,EAAE,KAAK,IAAI,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAASmyC,GAAGnyC,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,EAAEN,EAAE,EAAEO,EAAE,IAAI,aAAaP,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAE,CAAC,IAAI,EAAE,EAAE,KAAK,GAAG,GAAGA,EAAEM,EAAE,GAAGC,EAAE,GAAG,EAAEL,EAAE,KAAK,IAAI,CAAC,CAAC,CAAC,OAAO8vC,GAAGzvC,EAAE,SAAS,CAAC,CAAC,eAAe6xC,GAAGpyC,EAAE,EAAEE,EAAE,EAAE,CAAC,IAAII,EAAEyrB,EAAE/rB,EAAE,cAAc,QAAQ,EAAEO,EAAEwrB,EAAE,EAAE,UAAU,QAAQ,EAAEjU,EAAExX,EAAE,KAAK,EAAE,IAAI,uEAAuEA,EAAE,MAAM,EAAEwX,EAAExX,EAAE,KAAK,IAAIC,EAAE,KAAK,IAAI,mFAAmFD,EAAE,yBAAyBC,EAAE,MAAM,EAAEwX,GAAGzX,EAAE,MAAM,MAAM,EAAEA,EAAE,MAAM,OAAO,CAAC,EAAEC,EAAE,MAAM,yFAAyF,EAAE,IAAI,EAAED,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAGwX,EAAE5X,EAAE,GAAGA,GAAG,EAAE,IAAI,4EAA4E,eAAeA,GAAG,EAAE,IAAI,EAAE,MAAMI,EAAE,KAAK,EAAE2B,EAAE,MAAM1B,EAAE,KAAK,EAAE,CAAC2B,EAAEC,CAAC,EAAE,CAAC,EAAE,OAAO,EAAE,CAAC,EAAES,EAAEmW,GAAG,OAAO7W,CAAC,EAAE,QAAQW,EAAE,EAAEA,EAAEX,EAAEW,IAAI,CAAC,IAAIC,EAAED,EAAEV,EAAEY,EAAE,EAAE,SAASD,EAAEA,EAAEX,CAAC,EAAEa,EAAE,CAAC,EAAE,QAAQkB,EAAE,EAAEA,EAAEnB,EAAE,OAAOmB,IAAIlB,EAAE,KAAK,CAAC,MAAMD,EAAEmB,GAAG,MAAMA,CAAC,CAAC,EAAElB,EAAE,KAAK,CAACkB,EAAE,IAAI,EAAE,MAAMA,EAAE,KAAK,EAAEtB,EAAEC,GAAG,EAAE,QAAQqB,EAAE,EAAEA,EAAEhE,EAAEgE,IAAI,GAAGlB,EAAEkB,GAAG,QAAQjC,EAAEY,GAAG,CAACD,EAAEC,GAAG,EAAE,KAAK,CAAC,CAAC,OAAO7C,IAAIM,GAAGA,EAAE,QAAQ,EAAE,IAAIC,GAAGA,EAAE,QAAQ,EAAE+rB,GAAG1pB,EAAErC,EAAE,MAAM,MAAM,CAAC,CAAC,IAAI8xC,GAAGD,GAAOE,GAAG,CAAC,EAAElyC,GAAGkyC,GAAG,CAAC,OAAO,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,OAAO,IAAIC,EAAE,CAAC,EAAE,SAASC,GAAG1yC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,OAAO,EAAE,CAAC,IAAI0B,EAAEjC,EAAEA,EAAE,OAAO,IAAIiC,EAAEg6B,EAAEj8B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,IAAIkC,EAAE,EAAEA,EAAE,OAAO,IAAIA,EAAE+5B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAGnkB,EAAE7V,EAAE,OAAO,EAAE,IAAI,iEAAiEA,EAAE,QAAQ,EAAE6V,EAAE5V,EAAE,OAAO,EAAE,IAAI,8DAA8DA,EAAE,QAAQ,EAAE4V,EAAE5X,EAAE,SAAS,EAAE,IAAI,mEAAmEA,IAAI,EAAE,IAAIiC,EAAE,IAAI,OAAOF,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGW,EAAE,IAAI,OAAOV,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG4V,EAAE3V,IAAIjC,EAAE,GAAG,IAAI,4CAA4CiC,wCAAwCjC,EAAE,KAAK,EAAE4X,EAAElV,IAAI1C,EAAE,GAAG,IAAI,0CAA0C0C,0CAA0C1C,EAAE,MAAM,EAAE67B,GAAG,kBAAkBx7B,EAAE,CAAC,EAAE,IAAIsC,EAAE,CAAC,EAAEZ,EAAE,GAAGC,CAAC,EAAEY,EAAE,CAAC,QAAQxC,EAAE,IAAIC,EAAE,WAAW,EAAE,gBAAgB,EAAE,YAAYL,CAAC,EAAE,OAAO+qB,EAAE,UAAUjO,GAAGna,EAAEC,CAAC,CAAC,CAAC,IAAI6vC,GAAGzmB,EAAE,CAAC,sBAAsBwmB,EAAE,CAAC,EAAE,SAASE,GAAG5yC,EAAE,EAAEE,EAAE,CAAC,GAAGA,GAAG,MAAMA,IAAI,SAAS,OAAOF,EAAE,GAAGE,IAAI,OAAO,OAAOi5B,EAAEn5B,EAAE2vC,GAAG,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,gDAAgDzvC,IAAI,CAAC,CAAC,SAAS2yC,GAAG7yC,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAEI,EAAE20B,GAAGj1B,EAAE,MAAM,EAAE,KAAK,EAAE,OAAOM,EAAE,OAAO,IAAIJ,EAAEgjC,GAAGhjC,EAAEI,CAAC,GAAG27B,EAAE/7B,EAAEF,EAAE,KAAK,CAAC,CAAC,SAAS8yC,GAAG9yC,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAG,IAAI,SAAS,OAAON,EAAE,GAAG,IAAI,OAAO,OAAOmsC,GAAGnsC,CAAC,EAAE,GAAG,IAAI,MAAM,OAAO2hC,GAAG3hC,CAAC,EAAE,GAAG,IAAI,QAAQ,OAAOqsC,GAAGrsC,CAAC,EAAE,GAAG,IAAI,QAAQ,OAAO0qC,GAAG1qC,EAAEE,CAAC,EAAE,GAAG,IAAI,YAAY,OAAO+kC,GAAGjlC,EAAEM,CAAC,EAAE,GAAG,IAAI,UAAU,OAAOm8B,GAAGz8B,CAAC,EAAE,MAAM,IAAI,MAAM,4BAA4B,IAAI,CAAC,CAAC,IAAI+yC,GAAG,CAAC/yC,EAAE,IAAI,EAAEA,EAAE,IAAI,IAAI,SAAS,SAASgzC,GAAG,CAAC,EAAEhzC,EAAE,OAAO,EAAE,QAAQE,EAAE,IAAII,EAAE,WAAWC,EAAE,OAAO,UAAU,EAAE,CAAC,EAAE,CAAC,EAAE,gBAAgB,EAAE,KAAK0B,EAAE,WAAWC,EAAE,SAAS,uBAAuBC,EAAE,eAAeS,CAAC,EAAE,CAAC,GAAGV,EAAEA,GAAG,SAAS6wC,GAAG9nB,EAAE,MAAM,cAAc/oB,CAAC,IAAI,GAAG,CAAC4V,EAAEvX,IAAI,OAAO,IAAI,4CAA4CA,8GAA8G,EAAE,IAAIuE,EAAEi6B,GAAG/+B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,EAAE,OAAO0B,GAAG,OAAO6C,EAAE+zB,EAAE/zB,EAAE7C,CAAC,GAAG6wC,GAAGhuC,EAAE5C,EAAEC,EAAES,CAAC,CAAC,CAAC,IAAIC,EAAEkpB,EAAE/rB,EAAE,IAAI,SAAS,SAAS,EAAE8C,EAAEipB,EAAE,EAAE,SAAS,SAAS,SAAS,EAAEhpB,EAAEF,EAAEG,EAAE,GAAGH,EAAE,OAAO,IAAIG,EAAE,GAAGD,EAAEk5B,EAAEp5B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAGiV,EAAE/U,EAAE,OAAO,EAAE,IAAI,6DAA6DA,EAAE,OAAO,EAAE+U,EAAEhV,EAAE,OAAO,EAAE,IAAI,8DAA8DA,EAAE,OAAO,EAAEi5B,GAAG,eAAez7B,EAAE,CAAC,EAAE,IAAI4D,EAAE3D,IAAI,OAAOwC,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG+U,EAAEhV,EAAE,MAAM,KAAKoB,EAAE,IAAI,oCAAoCA,wCAAwCpB,EAAE,MAAM,KAAK,EAAEgV,EAAEgkB,GAAG57B,EAAE,CAAC,EAAE,IAAI,uEAAuEA,oBAAoB,IAAI,EAAE,IAAI,EAAE86B,GAAGj4B,EAAE,MAAMD,EAAE,MAAM5C,EAAE,EAAEI,EAAE,CAAC,EAAEiH,EAAEtF,GAAG,OAAOsF,EAAEwkB,EAAE9pB,EAAE,OAAO,cAAc,EAAE,CAACsF,CAAC,EAAE4iB,GAAG5iB,EAAE1E,CAAC,EAAEtC,IAAI,OAAOw0B,GAAG,EAAE,SAASxtB,EAAE,KAAK,GAAGuQ,EAAEvQ,EAAE,MAAM,QAAQ,EAAE,IAAI,2GAA2GA,EAAE,MAAM,SAAS,EAAEuQ,EAAEvQ,EAAE,MAAM,SAAS,GAAGA,EAAE,MAAM,KAAK,EAAE,aAAaA,EAAE,MAAM,KAAK,EAAE,IAAI,sCAAsCA,EAAE,gEAAgE,EAAE,cAAc,IAAI,IAAIxC,EAAE,GAAG5C,GAAG,KAAK,CAAC,IAAI2C,EAAE3C,EAAE,MAAM,GAAG2V,EAAEhT,EAAE,QAAQ,GAAGA,EAAE,SAAS,EAAE,IAAI,2HAA2HA,EAAE,SAAS,EAAEA,EAAE,SAAS,EAAEgT,EAAEhT,EAAE,KAAK,GAAGA,EAAE,KAAK,EAAE,YAAY,IAAI,oDAAoDA,4DAA4D,EAAE,eAAe,UAAUA,EAAE,SAAS,EAAE,GAAG,CAACiwB,GAAGjwB,EAAE,EAAE,QAAQ,CAAC,OAAO0C,EAAN,CAAS,IAAIxC,EAAE,oDAAoDF,6DAA6D,EAAE,aAAa,MAAM,MAAME,CAAC,CAAC,CAACD,EAAEgnB,EAAE5pB,EAAE,gBAAgB,cAAc,CAAC,CAAC,IAAIwC,EAAE,CAACG,EAAE0C,IAAI,CAACsQ,EAAEvX,IAAI,OAAO,IAAI,wDAAwDA,yCAAyC,EAAE,GAAG,CAACyE,EAAEyC,EAAExC,EAAEC,CAAC,EAAEsC,EAAErC,EAAEytC,GAAG9tC,EAAEG,EAAE/C,CAAC,EAAE4V,EAAE+jB,GAAG,CAAC,EAAE,IAAI,uHAAuH,IAAI,EAAE,IAAIz2B,EAAE+5B,GAAG13B,EAAE,MAAMtC,EAAEH,EAAE9E,EAAEI,CAAC,EAAE+E,EAAEstC,GAAGlrC,EAAEtC,EAAEH,EAAE,MAAM9E,EAAEI,CAAC,EAAEgF,EAAE,CAACF,EAAEC,CAAC,EAAE,GAAGH,GAAG,KAAK,CAAC,IAAI+C,EAAE4qC,GAAG3tC,EAAEC,CAAC,EAAEG,EAAE,KAAK2C,CAAC,CAAC,CAAC,OAAO3C,CAAC,EAAEV,EAAE,CAAC,EAAE7B,EAAE,OAAOD,EAAE,KAAKyE,EAAE,uBAAuBxC,CAAC,EAAEF,EAAE,CAAC,QAAQ3E,EAAE,IAAII,EAAE,WAAWC,EAAE,UAAU,EAAE,gBAAgB,EAAE,WAAW2B,EAAE,eAAeU,CAAC,EAAE,OAAOX,GAAG,KAAKkkC,GAAG,CAAC3+B,EAAExC,EAAEyC,IAAI,CAAC,IAAIxC,EAAEgmB,EAAE,UAAUnF,GAAGlhB,EAAEC,CAAC,EAAE,OAAO4C,EAAE,CAACzC,EAAEwC,EAAEvC,CAAC,CAAC,EAAEjC,IAAIiC,EAAEg3B,EAAEh3B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,CAAC,MAAMA,EAAE,SAASN,CAAC,CAAC,CAAC,EAAE5B,EAAED,CAAC,EAAEqjC,GAAG,CAAC3+B,EAAExC,EAAEyC,EAAExC,IAAI,CAAC,IAAIC,EAAE+lB,EAAE,UAAUnF,GAAGlhB,EAAEC,CAAC,EAAE,OAAOI,EAAE,CAACD,EAAEwC,EAAEtC,EAAEuC,CAAC,CAAC,EAAEzE,IAAIkC,EAAE+2B,EAAE/2B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,CAAC,MAAMA,EAAE,SAASP,CAAC,CAAC,CAAC,EAAE5B,EAAED,EAAEyE,CAAC,CAAC,CAAC,IAAIgrC,GAAGrmB,EAAE,CAAC,aAAa8mB,EAAE,CAAC,EAAE,SAASC,GAAGjzC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,IAAI0B,EAAEjC,EAAEA,EAAE,OAAO,IAAIiC,EAAEg6B,EAAEj8B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,IAAIkC,EAAE,EAAEA,EAAE,OAAO,IAAIA,EAAE+5B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAG,IAAI95B,EAAE,CAAC,EAAEF,EAAE,GAAGC,CAAC,EAAEU,EAAE,CAAC,QAAQtC,EAAE,IAAIC,EAAE,gBAAgB,EAAE,UAAU,EAAE,YAAYL,CAAC,EAAE,OAAO+qB,EAAE,UAAUpN,GAAG1b,EAAES,CAAC,CAAC,CAAC,IAAIswC,GAAGhnB,EAAE,CAAC,qCAAqC+mB,EAAE,CAAC,EAAE,SAASE,GAAGnzC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,IAAI0B,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGD,EAAEg6B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAG,IAAI95B,EAAE,CAAC,GAAGF,EAAE,OAAO/B,CAAC,EAAE0C,EAAE,CAAC,QAAQtC,EAAE,IAAIC,EAAE,gBAAgB,EAAE,UAAU,EAAE,WAAWP,CAAC,EAAE6C,EAAEooB,EAAE,UAAUnN,GAAG3b,EAAES,CAAC,EAAE,OAAOV,EAAE+5B,EAAEp5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIuwC,GAAGlnB,EAAE,CAAC,oCAAoCinB,EAAE,CAAC,EAAE,SAASE,GAAG,CAAC,EAAErzC,EAAE,OAAO,EAAE,QAAQE,EAAE,IAAII,EAAE,WAAWC,EAAE,OAAO,UAAU,EAAE,CAAC,EAAE,CAAC,EAAE,gBAAgB,EAAE,KAAK0B,EAAE,WAAWC,EAAE,SAAS,uBAAuBC,EAAE,eAAeS,CAAC,EAAE,CAAC,GAAGmwC,GAAG9nB,EAAE,MAAM,cAAc/oB,CAAC,IAAI,GAAG,CAAC,IAAI2C,EAAE47B,GAAGzgC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,EAAE,OAAO0B,GAAG,OAAO4C,EAAEg0B,EAAEh0B,EAAE5C,CAAC,GAAG6wC,GAAGjuC,EAAE3C,EAAEC,EAAES,CAAC,CAAC,CAAC,IAAIC,EAAEkpB,EAAE/rB,EAAE,IAAI,kBAAkB,SAAS,EAAE8C,EAAEipB,EAAE,EAAE,SAAS,kBAAkB,SAAS,EAAEhpB,EAAEF,EAAEG,EAAE,GAAGH,EAAE,OAAO,IAAIG,EAAE,GAAGD,EAAEk5B,EAAEp5B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAGiV,EAAE/U,EAAE,OAAO,EAAE,IAAI,sEAAsEA,EAAE,OAAO,EAAE+U,EAAEhV,EAAE,OAAO,EAAE,IAAI,uEAAuEA,EAAE,OAAO,EAAEgV,EAAE/U,EAAE,MAAM,KAAKD,EAAE,MAAM,GAAG,IAAI,6DAA6DC,EAAE,MAAM,qDAAqDD,EAAE,MAAM,KAAK,EAAE,GAAG,OAAO,EAAE,CAAC,EAAE,CAAC,GAAGgV,EAAEgkB,GAAG57B,EAAE,CAAC,EAAE,IAAI,sFAAsFA,oBAAoB,IAAI,EAAE67B,GAAG,wBAAwBz7B,EAAE,CAAC,EAAE,IAAI4D,EAAE82B,GAAGj4B,EAAE,MAAMD,EAAE,MAAM5C,EAAE,EAAEI,EAAE,EAAE,EAAE,EAAE,EAAE2B,GAAG,OAAO,EAAE8pB,EAAE9pB,EAAE,OAAO,cAAc,EAAE,CAAC,CAAC,EAAEkoB,GAAG,EAAEtnB,CAAC,EAAEkyB,GAAG7wB,EAAE,SAAS,EAAE,KAAK,GAAG,IAAIqD,EAAEpF,GAAG,OAAOoF,EAAEwkB,EAAE5pB,EAAE,gBAAgB,uBAAuB,GAAG,IAAI4C,EAAE,CAACF,EAAEC,IAAI,CAACgT,EAAE+jB,GAAG,CAAC,EAAE,IAAI,mHAAmH,IAAI,EAAE,GAAG,CAACr0B,EAAExC,EAAEyC,EAAExC,CAAC,EAAEH,EAAEI,EAAE0tC,GAAG/tC,EAAE4C,EAAEvF,CAAC,EAAEiD,EAAEiuC,GAAGpuC,EAAE,MAAME,EAAEsC,EAAEtH,EAAEI,EAAE,EAAE,CAAC,EAAE8E,EAAE8tC,GAAGluC,EAAEE,EAAEsC,EAAE,MAAMtH,EAAEI,EAAE,EAAE,CAAC,EAAE,GAAG2E,GAAG,KAAK,CAAC,IAAII,EAAEwtC,GAAG,EAAE3tC,CAAC,EAAE,MAAM,CAACC,EAAEC,EAAEC,CAAC,CAAC,CAAC,MAAM,CAACF,EAAEC,CAAC,CAAC,EAAET,EAAE,CAAC,EAAE5B,EAAE,OAAOD,EAAE,KAAK,EAAE,uBAAuByE,CAAC,EAAE3C,EAAE,CAAC,QAAQ1E,EAAE,IAAII,EAAE,WAAWC,EAAE,UAAU,EAAE,gBAAgB,EAAE,WAAW2B,EAAE,eAAeU,CAAC,EAAE,OAAOX,GAAG,KAAKkkC,GAAG,CAACrhC,EAAE0C,EAAExC,IAAI,CAAC,IAAIyC,EAAEwjB,EAAE,UAAUlF,GAAGphB,EAAEC,CAAC,EAAE,OAAOI,EAAE,CAACwC,EAAE1C,EAAE2C,CAAC,CAAC,EAAEzE,IAAIyE,EAAEw0B,EAAEx0B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,CAAC,MAAMA,EAAE,SAAS1C,CAAC,CAAC,CAAC,EAAEhC,EAAED,CAAC,EAAEqjC,GAAG,CAACrhC,EAAE0C,EAAExC,EAAEyC,IAAI,CAAC,IAAIxC,EAAEgmB,EAAE,UAAUlF,GAAGphB,EAAEC,CAAC,EAAE,OAAO6C,EAAE,CAACD,EAAE1C,EAAEG,EAAED,CAAC,CAAC,EAAEhC,IAAIiC,EAAEg3B,EAAEh3B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,CAAC,MAAMA,EAAE,SAASF,CAAC,CAAC,CAAC,EAAEhC,EAAED,EAAE,CAAC,CAAC,CAAC,IAAI0vC,GAAGtmB,EAAE,CAAC,sBAAsBmnB,EAAE,CAAC,EAAE,SAASC,GAAG,CAAC,EAAEtzC,EAAE,EAAE,EAAE,WAAWE,EAAE,GAAG,WAAWI,EAAE,GAAG,KAAKC,EAAE,WAAW,EAAE,SAAS,uBAAuB,EAAE,eAAe0B,EAAE,EAAE,EAAE,CAAC,GAAG8wC,GAAG9nB,EAAE,MAAM,cAAc,CAAC,IAAI,GAAG,CAAC,IAAI/lB,EAAE2tB,GAAG7yB,EAAE,EAAEE,EAAEI,CAAC,EAAE,OAAOC,GAAG,OAAO2E,EAAE2zB,EAAE3zB,EAAE3E,CAAC,GAAGuyC,GAAG5tC,EAAE,EAAE,EAAEjD,CAAC,CAAC,CAAC,IAAIC,EAAE6pB,EAAE/rB,EAAE,IAAI,cAAc,EAAEmC,EAAE4pB,EAAE,EAAE,IAAI,cAAc,EAAE,CAAC7pB,EAAEC,CAAC,EAAEgoB,GAAGjoB,EAAEC,CAAC,EAAE,IAAIS,EAAE1C,EAAEgC,EAAE,MAAMA,EAAE,KAAK,GAAGA,EAAE,MAAMA,EAAE,KAAK,GAAGW,EAAEvC,EAAE6B,EAAE,MAAMA,EAAE,KAAK,GAAGA,EAAE,MAAMA,EAAE,KAAK,GAAGW,EAAE5C,EAAEgC,EAAE,MAAMA,EAAE,KAAK,GAAGA,EAAE,MAAMA,EAAE,KAAK,GAAGa,EAAEzC,EAAE6B,EAAE,MAAMA,EAAE,KAAK,GAAGA,EAAE,MAAMA,EAAE,KAAK,GAAGa,EAAEd,EAAE,MAAM,MAAM,EAAE,EAAE,EAAEgC,EAAE/B,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAEiW,GAAGpV,CAAC,EAAEuE,EAAE6Q,GAAGlU,CAAC,EAAE4T,EAAElV,IAAIC,EAAE,IAAI,wCAAwCD,WAAWC,6BAA6BX,EAAE,aAAaC,EAAE,wBAAwBjC,oBAAoBI,eAAe,EAAE,IAAIqE,EAAEowB,GAAG7yB,EAAE,MAAM,MAAM,EAAE,EAAE,EAAEC,EAAE,MAAM,MAAM,EAAE,EAAE,CAAC,EAAE,OAAO,CAACW,EAAEC,CAAC,CAAC,EAAE6B,EAAE1E,EAAE+7B,EAAE/5B,EAAE,CAAC,EAAEU,EAAEE,CAAC,CAAC,EAAEm5B,EAAE/5B,EAAE,CAAC,EAAEY,EAAEF,CAAC,CAAC,EAAEiC,EAAEvE,EAAE27B,EAAE95B,EAAE,CAACoF,EAAExE,EAAEF,CAAC,CAAC,EAAEo5B,EAAE95B,EAAE,CAACoF,EAAE1E,EAAEE,CAAC,CAAC,EAAE+B,EAAEvE,GAAG,OAAOuE,EAAEinB,EAAExrB,EAAE,OAAO,cAAc,EAAE,CAACuE,CAAC,EAAEqlB,GAAGrlB,EAAE5C,CAAC,EAAE6yB,GAAGpwB,EAAEG,EAAE,KAAK,GAAG,IAAI0C,EAAE,GAAG,OAAOA,EAAEukB,EAAE,EAAE,gBAAgB,cAAc,GAAG,IAAI/mB,EAAE,CAACE,EAAEC,IAAI,CAAC,GAAG,CAACC,EAAEC,EAAEC,EAAE2C,CAAC,EAAE9C,EAAEwC,EAAEirC,GAAG3W,EAAE/2B,EAAEI,EAAE,KAAK,EAAEA,EAAE,CAAC,EAAE4C,EAAEC,EAAG,GAAG,CAACjI,GAAG,CAACI,GAAG4H,EAAE2qB,GAAGlrB,EAAEtC,EAAE,GAAG,EAAE,EAAE8C,EAAG0qB,GAAGztB,EAAEuC,EAAE,GAAG,EAAE,GAAG,CAACzH,GAAGI,GAAG4H,EAAE2qB,GAAGlrB,EAAEtC,EAAE,GAAG,EAAE,EAAE8C,EAAG0qB,GAAGlrB,EAAEvC,EAAE,GAAG,EAAE,GAAGlF,GAAG,CAACI,GAAG4H,EAAE2qB,GAAGxtB,EAAEsC,EAAE,GAAG,EAAE,EAAEQ,EAAG0qB,GAAGztB,EAAEuC,EAAE,GAAG,EAAE,IAAIO,EAAE2qB,GAAGxtB,EAAEsC,EAAE,GAAG,EAAE,EAAEQ,EAAG0qB,GAAGlrB,EAAEvC,EAAE,GAAG,EAAE,GAAG7E,GAAG,KAAK,CAAC,IAAI6H,EAAGyqC,GAAG5qC,EAAEN,CAAC,EAAE,MAAM,CAACO,EAAEC,EAAGC,CAAE,CAAC,KAAM,OAAM,CAACF,EAAEC,CAAE,CAAC,EAAEV,EAAE,CAAC,EAAE7C,EAAE,EAAEC,EAAE,KAAKC,EAAE,uBAAuB0C,CAAC,EAAEvC,EAAE,CAAC,WAAW/E,EAAE,WAAWI,EAAE,WAAW,EAAE,eAAe2B,CAAC,EAAE,OAAO1B,GAAG,KAAK4lC,GAAG,CAAChhC,EAAEC,EAAEC,IAAI,CAAC,IAAIC,EAAE2lB,EAAE,UAAUpF,GAAGpe,EAAExC,CAAC,EAAE,OAAOI,EAAE,CAACF,EAAEC,EAAEE,CAAC,CAAC,EAAE,CAAC,MAAM22B,EAAE32B,EAAEX,CAAC,EAAE,SAASK,CAAC,CAAC,CAAC,EAAEJ,EAAEC,CAAC,EAAEshC,GAAG,CAAChhC,EAAEC,EAAEC,EAAEC,IAAI,CAAC,IAAI2C,EAAEgjB,EAAE,UAAUpF,GAAGpe,EAAExC,CAAC,EAAE,OAAOK,EAAE,CAACH,EAAEC,EAAE6C,EAAE5C,CAAC,CAAC,EAAE,CAAC,MAAM42B,EAAEh0B,EAAEtD,CAAC,EAAE,SAASK,CAAC,CAAC,CAAC,EAAEJ,EAAEC,EAAEC,CAAC,CAAC,CAAC,IAAI2tC,GAAGvmB,EAAE,CAAC,aAAaonB,EAAE,CAAC,EAAE,SAASC,GAAGvzC,EAAE,CAAC,OAAOmyC,GAAGnyC,EAAE,IAAI,GAAG,CAAC,CAAC,IAAIwzC,GAAGtnB,EAAE,CAAC,eAAeqnB,EAAE,CAAC,EAAE,SAASE,GAAGzzC,EAAE,CAAC,OAAOmyC,GAAGnyC,EAAE,GAAG,EAAE,CAAC,CAAC,IAAI0zC,GAAGxnB,EAAE,CAAC,YAAYunB,EAAE,CAAC,EAAE,SAASE,GAAG3zC,EAAE,EAAEE,EAAEI,EAAE,GAAGC,EAAE,EAAE,CAAC,IAAI,EAAE,EAAE,EAAE,CAAC,EAAE,KAAK,EAAE,GAAGP,EAAE,MAAM,EAAE,KAAK28B,GAAG38B,EAAE,EAAE,CAAC,CAAC,EAAE,GAAGE,EAAE,GAAGI,EAAE,KAAK,EAAEN,EAAE,MAAM,CAAC,IAAIiC,EAAE,EAAE,EAAEjC,EAAE,KAAKkC,EAAEq6B,GAAG,CAACI,GAAG38B,EAAE,EAAE,EAAEiC,CAAC,EAAEk8B,GAAG,CAACl8B,CAAC,EAAE1B,CAAC,CAAC,CAAC,EAAE,EAAE,KAAK2B,CAAC,EAAE,GAAGhC,CAAC,CAAC,OAAO,EAAE,SAAS,EAAE+vC,GAAG,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEhU,EAAEM,GAAG,CAAC,EAAE,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,IAAIqX,GAAG1nB,EAAE,CAAC,OAAOynB,EAAE,CAAC,EAAE,SAASE,GAAG7zC,EAAE,EAAEE,EAAEI,EAAEC,EAAEmzC,GAAG,CAACpzC,GAAG,OAAOA,EAAE4xC,GAAG,CAAC,GAAG,IAAI,EAAE0B,GAAG5zC,EAAE,EAAEE,CAAC,EAAE,EAAEi5B,EAAE,EAAE54B,EAAE,CAAC,CAAC,EAAE,OAAO4uC,GAAG,EAAE7uC,CAAC,CAAC,CAAC,IAAIwzC,GAAG5nB,EAAE,CAAC,MAAM2nB,EAAE,CAAC,EAAE,SAASE,GAAG/zC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,WAAW,EAAE,EAAE,CAAC,IAAI,EAAEwrB,EAAE/rB,EAAE,QAAQ,eAAe,EAAEiC,EAAE8pB,EAAE,EAAE,QAAQ,gBAAgB,SAAS,EAAE7pB,EAAE6pB,EAAE7rB,EAAE,SAAS,gBAAgB,OAAO,EAAEiC,EAAEF,EAAE,MAAM,GAAG6V,EAAE,EAAE,OAAO,EAAE,IAAI,6DAA6D,EAAE,OAAO,EAAEA,EAAE7V,EAAE,OAAO,GAAGA,EAAE,MAAM,KAAK,EAAE,IAAI,oDAAoDE,sBAAsBF,EAAE,QAAQ,EAAE6V,EAAE5V,EAAE,OAAO,GAAGA,EAAE,MAAM,KAAKC,EAAE,IAAI,qDAAqDA,oBAAoBF,EAAE,QAAQ,EAAE6V,EAAExX,EAAE,SAAS,EAAE,IAAI,wEAAwEA,EAAE,SAAS,EAAEwX,EAAExX,EAAE,IAAI,GAAGA,EAAE,IAAI,EAAE,IAAI,2CAA2CA,GAAG,EAAEwX,EAAEvX,IAAI,YAAYA,IAAI,UAAU,IAAI,+CAA+CA,GAAG,EAAE,IAAIqC,EAAE,CAAC,MAAM,EAAE,MAAMX,EAAE,OAAOC,CAAC,EAAEW,EAAE,CAAC,OAAOtC,EAAE,mBAAmB,EAAE,SAASD,CAAC,EAAE,OAAO2qB,EAAE,UAAUxN,GAAG7a,EAAEC,CAAC,CAAC,CAAC,IAAImxC,GAAG9nB,EAAE,CAAC,eAAe6nB,EAAE,CAAC,EAAE,SAASE,GAAGj0C,EAAE,CAAC,IAAI,EAAE+rB,EAAE/rB,EAAE,QAAQ,gBAAgB,SAAS,EAAE8X,EAAE,EAAE,OAAO,EAAE,IAAI,6DAA6D,EAAE,OAAO,EAAE,IAAI5X,EAAE,CAAC,MAAM,CAAC,EAAE,OAAO+qB,EAAE,UAAUnM,GAAG5e,EAAE,CAAC,CAAC,CAAC,CAAC,IAAIg0C,GAAGhoB,EAAE,CAAC,eAAe+nB,EAAE,CAAC,EAAE,SAASE,GAAGn0C,EAAE,CAAC,IAAI,EAAE+rB,EAAE/rB,EAAE,QAAQ,gBAAgB,EAAEE,EAAE,EAAE,KAAK,EAAEI,EAAE,EAAE,MAAMJ,GAAG4X,EAAE,EAAE,MAAM,EAAE,IAAI,yEAAyE,EAAE,OAAO,EAAEA,EAAExX,IAAI,EAAE,IAAI,+FAA+FA,IAAI,EAAE,IAAIC,EAAE,IAAI,MAAM,EAAE,IAAI,EAAE,OAAOA,EAAE,KAAK,EAAE,EAAEL,CAAC,EAAEK,EAAEL,GAAG,EAAE6jC,GAAG,EAAExjC,CAAC,CAAC,CAAC,IAAI6zC,GAAGloB,EAAE,CAAC,gBAAgBioB,EAAE,CAAC,EAAE,SAASE,GAAGr0C,EAAE,EAAEE,EAAE,EAAEI,EAAE,GAAG,CAAC,IAAIC,EAAEwrB,EAAE/rB,EAAE,QAAQ,mBAAmB,SAAS,EAAE8X,EAAEvX,EAAE,OAAO,EAAE,IAAI,gEAAgEA,EAAE,OAAO,EAAE,IAAI,EAAE,CAAC,MAAMA,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,UAAUL,EAAE,OAAOI,CAAC,EAAE,OAAO2qB,EAAE,UAAUrF,GAAG,EAAE,CAAC,CAAC,CAAC,IAAI0uB,GAAGpoB,EAAE,CAAC,kBAAkBmoB,EAAE,CAAC,EAAE,SAASE,GAAGv0C,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAACD,GAAG,OAAOA,EAAE,IAAIC,GAAG,OAAOA,EAAE,OAAO,mBAAmB,GAAG,OAAO,EAAE,GAAG,IAAI,EAAEP,EAAE,MAAM,GAAG,OAAOE,EAAE,KAAK,IAAIA,EAAE,CAAC,EAAE4X,EAAE,GAAGxX,GAAGA,GAAG,EAAE,IAAI,4CAA4CA,IAAI,EAAEwX,EAAE9X,EAAE,OAAO,EAAE,IAAI,+CAA+CA,EAAE,OAAO,EAAE8X,EAAE9X,EAAE,MAAM,KAAK,EAAE,IAAI,oDAAoDA,EAAE,MAAM,IAAI,EAAE8X,EAAE,EAAE,OAAO,EAAE,IAAI,4BAA4B,EAAEA,EAAE,EAAE,MAAM,KAAK,EAAE,IAAI,sDAAsD,cAAc,EAAE,MAAM,IAAI,EAAEA,EAAE,GAAG,GAAG,GAAG,EAAE,IAAI,4CAA4C,IAAI,EAAE,CAAC,cAAc5X,EAAE,aAAaI,EAAE,eAAeC,EAAE,aAAa,CAAC,CAAC,CAAC,SAASi0C,GAAGx0C,EAAE,EAAEE,EAAEI,EAAE,GAAGC,EAAE,OAAO,kBAAkB,CAAC,IAAI,EAAEwrB,EAAE/rB,EAAE,QAAQ,oBAAoB,SAAS,EAAE,EAAE+rB,EAAE,EAAE,SAAS,oBAAoB,SAAS,EAAE9pB,EAAEsyC,GAAG,EAAE,EAAEr0C,EAAEI,EAAEC,CAAC,EAAEL,EAAE+B,EAAE,cAAc3B,EAAE2B,EAAE,aAAa1B,EAAE0B,EAAE,eAAe,IAAIC,EAAE,CAAC,cAAchC,EAAE,aAAaI,EAAE,eAAeC,CAAC,EAAE,OAAO0qB,EAAE,UAAUvJ,GAAG,CAAC,MAAM,EAAE,OAAO,CAAC,EAAExf,CAAC,CAAC,CAAC,IAAIuyC,GAAGvoB,EAAE,CAAC,mBAAmBsoB,EAAE,CAAC,EAAE,SAASE,GAAG10C,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEq0C,GAAG30C,EAAE,EAAEE,CAAC,EAAEK,EAAED,EAAE,EAAE,EAAEA,EAAE,GAAGA,EAAEN,EAAE,OAAOO,EAAE,EAAE,CAAC,CAAC,CAAC,SAASo0C,GAAG30C,EAAE,EAAEE,EAAE,CAAC,OAAO00C,GAAG50C,EAAE,EAAEE,GAAG20C,EAAE,CAAC,CAAC,SAASA,GAAG70C,EAAE,EAAE,CAAC,OAAOA,EAAE,EAAE,EAAEA,EAAE,EAAE,GAAG,CAAC,CAAC,SAAS40C,GAAG50C,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,EAAEC,EAAEP,EAAE,OAAO,EAAE,EAAE,EAAE,GAAG,KAAKM,EAAEC,GAAG,CAAC,EAAED,GAAGC,EAAED,IAAI,GAAG,IAAI2B,EAAE/B,EAAE,EAAEF,EAAE,EAAE,EAAEiC,EAAE,EAAE3B,EAAE,EAAE,GAAGC,EAAE,EAAE,EAAE,CAAC0B,EAAE,CAAC,OAAO,EAAE3B,EAAE,CAACA,EAAE,CAAC,CAAC,SAASw0C,GAAG90C,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,OAAOw0C,GAAG/0C,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,CAAC,CAAC,SAASy0C,GAAGh1C,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,OAAOw0C,GAAG/0C,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,GAAG,EAAE,EAAE,CAAC,CAAC,SAAS00C,GAAGj1C,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,OAAOw0C,GAAG/0C,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE,CAAC,CAAC,SAASw0C,GAAG/0C,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE,GAAG0B,EAAE,GAAGC,EAAE,GAAG,CAAC,IAAIC,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAE,EAAE,OAAO,IAAI,EAAE,GAAG5B,GAAG4B,EAAE,KAAK,CAAC,MAAM,EAAE,GAAG,SAAS,EAAE,mBAAmB,CAAC,CAAC,EAAEA,EAAE,KAAK+yC,EAAE,EAAE,IAAItyC,EAAE,EAAE,EAAE,IAAI,EAAE,EAAEC,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,KAAKD,EAAE,OAAO3C,GAAGiC,EAAE,OAAO,GAAG,CAAC,IAAI,EAAEA,EAAE,IAAI,EAAE,CAAC,MAAMoF,EAAE,SAASxC,EAAE,mBAAmBJ,CAAC,EAAE,EAAE,GAAG4C,EAAEhH,EAAE,MAAM,IAAIqE,EAAE,GAAG,QAAQC,EAAEhC,EAAE,OAAO,EAAEgC,GAAGF,EAAE,EAAEE,EAAE,CAAC,IAAIC,EAAEqwC,GAAGn1C,EAAE+E,EAAElC,EAAEgC,EAAE,EAAE,GAAGC,GAAGxE,EAAE,CAACsE,EAAE,GAAG,KAAK,CAAC,GAAG,EAAE,MAAM,EAAE,MAAMwwC,GAAG90C,EAAEsC,EAAEkC,CAAC,EAAE,EAAE,OAAOvE,EAAE,KAAK,CAAC,EAAE,mBAAmBsC,EAAE,OAAO+B,IAAI,EAAE,QAAQ2C,GAAG1E,EAAE,KAAKkC,CAAC,EAAEjC,EAAE,KAAK,EAAE,KAAK,GAAG,EAAE,MAAMvC,GAAGm0C,GAAGvyC,EAAE,EAAE+yC,EAAE,EAAE,CAAC,IAAInyC,EAAEF,EAAE,OAAOG,EAAE9C,EAAE6C,EAAEd,GAAGe,EAAE,IAAIH,EAAE,KAAK,GAAG,IAAI,MAAMG,CAAC,EAAE,KAAK,CAAC,CAAC,EAAEF,EAAE,KAAK,GAAG,IAAI,MAAME,CAAC,EAAE,KAAK,CAAC,CAAC,GAAG,IAAIkB,EAAE,CAAC,gBAAgBrB,CAAC,EAAE,OAAO,IAAIqB,EAAE,eAAepB,GAAGZ,IAAIgC,EAAE,aAAanB,GAAGmB,CAAC,CAAC,SAASixC,GAAGn1C,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,SAAS,EAAE,EAAE,EAAE,EAAE,CAAC,EAAEO,EAAEP,EAAE,SAASE,EAAE,EAAEA,EAAE,EAAE,CAAC,EAAE,EAAE,KAAK,IAAII,EAAE,GAAGA,EAAE,EAAE,EAAE,EAAE,KAAK,IAAIA,EAAE,GAAGA,EAAE,EAAE,EAAE2B,EAAE,KAAK,IAAI3B,EAAE,GAAGA,EAAE,EAAE,EAAE4B,EAAE,KAAK,IAAI5B,EAAE,GAAGA,EAAE,EAAE,EAAE6B,EAAE,KAAK,IAAI5B,EAAE,GAAGA,EAAE,EAAE,EAAEqC,EAAE,KAAK,IAAIrC,EAAE,GAAGA,EAAE,EAAE,EAAEsC,EAAE,KAAK,IAAItC,EAAE,GAAGA,EAAE,EAAE,EAAEuC,EAAE,KAAK,IAAIvC,EAAE,GAAGA,EAAE,EAAE,EAAEwC,GAAGd,EAAE,IAAIC,EAAE,GAAGc,GAAGH,EAAEV,IAAIW,EAAEF,GAAG,GAAGG,GAAG,GAAGC,GAAG,EAAE,MAAO,GAAE,IAAIkB,EAAE,KAAK,IAAI,EAAE/B,CAAC,EAAE,EAAE,KAAK,IAAI,EAAES,CAAC,EAAE2E,EAAE,KAAK,IAAItF,EAAEY,CAAC,EAAEkC,EAAE,KAAK,IAAI7C,EAAEY,CAAC,EAAE6B,EAAE,KAAK,IAAI4C,EAAErD,EAAE,CAAC,EAAE,KAAK,IAAIa,EAAE,EAAE,CAAC,EAAE,OAAOJ,GAAG5B,EAAEC,EAAE2B,EAAE,CAAC,SAASywC,GAAGp1C,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,KAAK,IAAI,EAAEJ,EAAEA,CAAC,EAAE,OAAOA,GAAGF,EAAEM,EAAE,CAAC,CAAC,SAAS40C,GAAGl1C,EAAE,EAAE,CAAC,OAAOA,EAAE,MAAM,EAAE,OAAOA,EAAE,QAAQ,EAAE,OAAO,EAAE,SAASA,EAAE,QAAQ,CAAC,eAAeq1C,GAAGr1C,EAAE,EAAEE,EAAEI,EAAE,GAAGC,EAAE,OAAO,kBAAkB,CAAC,IAAI,EAAEwrB,EAAE/rB,EAAE,QAAQ,wBAAwB,EAAE,EAAE+rB,EAAE,EAAE,SAAS,wBAAwB,EAAE9pB,EAAEsyC,GAAG,EAAE,EAAEr0C,EAAEI,EAAEC,CAAC,EAAEL,EAAE+B,EAAE,cAAc3B,EAAE2B,EAAE,aAAa1B,EAAE0B,EAAE,eAAe,IAAIC,EAAE,MAAM,QAAQ,IAAI,CAAC,EAAE,KAAK,EAAE,EAAE,KAAK,CAAC,CAAC,EAAEC,EAAED,EAAE,GAAGU,EAAEV,EAAE,GAAG,CAAC,gBAAgBW,CAAC,EAAEiyC,GAAG3yC,EAAES,EAAE1C,EAAEI,EAAEC,CAAC,EAAE,OAAO,IAAIP,GAAG,EAAE,QAAQ,EAAE,IAAI,GAAG,EAAE,QAAQ,EAAEgwC,GAAGntC,EAAE,OAAO,CAAC,CAAC,IAAIyyC,GAAGD,GAAG,SAASE,GAAGv1C,EAAE,EAAEE,EAAEI,EAAE,GAAGC,EAAE,OAAO,kBAAkB,EAAE,EAAE,CAAC,IAAI,EAAEwrB,EAAE/rB,EAAE,QAAQ,mBAAmB,EAAEiC,EAAE8pB,EAAE,EAAE,SAAS,mBAAmB,EAAE7pB,EAAEqyC,GAAG,EAAEtyC,EAAE/B,EAAEI,EAAEC,EAAE,CAAC,EAAEL,EAAEgC,EAAE,cAAc5B,EAAE4B,EAAE,aAAa3B,EAAE2B,EAAE,eAAe,EAAEA,EAAE,aAAa,IAAIC,EAAE,CAAC,MAAM,EAAE,OAAOF,CAAC,EAAEW,EAAE,CAAC,cAAc1C,EAAE,aAAaI,EAAE,eAAeC,EAAE,aAAa,CAAC,EAAEsC,EAAEooB,EAAE,UAAUrJ,GAAGzf,EAAES,CAAC,EAAE,MAAM,CAAC,gBAAgBC,EAAE,GAAG,eAAeA,EAAE,EAAE,CAAC,CAAC,IAAI2yC,GAAGtpB,EAAE,CAAC,4BAA4BqpB,EAAE,CAAC,EAAE,eAAeE,GAAGz1C,EAAE,EAAEE,EAAEI,EAAE,GAAGC,EAAE,OAAO,kBAAkB,EAAE,EAAE,CAAC,IAAI,EAAEwrB,EAAE/rB,EAAE,QAAQ,wBAAwB,EAAEiC,EAAE8pB,EAAE,EAAE,SAAS,wBAAwB,EAAE7pB,EAAEqyC,GAAG,EAAEtyC,EAAE/B,EAAEI,EAAEC,EAAE,CAAC,EAAEL,EAAEgC,EAAE,cAAc5B,EAAE4B,EAAE,aAAa3B,EAAE2B,EAAE,eAAe,EAAEA,EAAE,aAAa,IAAIC,EAAE,MAAM,QAAQ,IAAI,CAAC,EAAE,KAAK,EAAEF,EAAE,KAAK,CAAC,CAAC,EAAEW,EAAET,EAAE,GAAGU,EAAEV,EAAE,GAAG,CAAC,gBAAgBW,EAAE,eAAeC,CAAC,EAAEkyC,GAAGryC,EAAEC,EAAE3C,EAAEI,EAAEC,EAAE,CAAC,EAAE,OAAO,IAAIP,GAAG,EAAE,QAAQ,EAAEiC,IAAI,GAAGA,EAAE,QAAQ,EAAE,CAAC,gBAAgB+tC,GAAGltC,EAAE,OAAO,EAAE,eAAektC,GAAGjtC,CAAC,CAAC,CAAC,CAAC,IAAI2yC,GAAGD,GAAG,SAASE,GAAG31C,EAAE,EAAEE,EAAEI,EAAE,GAAGC,EAAE,OAAO,kBAAkB,EAAE,GAAG,CAAC,IAAI,EAAEwrB,EAAE/rB,EAAE,QAAQ,mBAAmB,EAAEiC,EAAE8pB,EAAE,EAAE,SAAS,mBAAmB,EAAE7pB,EAAEqyC,GAAG,EAAEtyC,EAAE/B,EAAEI,EAAEC,EAAE,IAAI,EAAE4B,EAAED,EAAE,cAAcU,EAAEV,EAAE,aAAaW,EAAEX,EAAE,eAAeY,EAAE,CAAC,MAAM,EAAE,OAAOb,CAAC,EAAEc,EAAE,CAAC,cAAcZ,EAAE,aAAaS,EAAE,eAAeC,EAAE,mBAAmB,CAAC,EAAEG,EAAEioB,EAAE,UAAUtJ,GAAG7e,EAAEC,CAAC,EAAE,MAAM,CAAC,gBAAgBC,EAAE,GAAG,aAAaA,EAAE,EAAE,CAAC,CAAC,IAAI4yC,GAAG1pB,EAAE,CAAC,yBAAyBypB,EAAE,CAAC,EAAE,eAAeE,GAAG71C,EAAE,EAAEE,EAAEI,EAAE,GAAGC,EAAE,OAAO,kBAAkB,EAAE,GAAG,CAAC,IAAI,EAAEwrB,EAAE/rB,EAAE,QAAQ,wBAAwB,EAAEiC,EAAE8pB,EAAE,EAAE,SAAS,wBAAwB,EAAE7pB,EAAEqyC,GAAG,EAAEtyC,EAAE/B,EAAEI,EAAEC,EAAE,IAAI,EAAE4B,EAAED,EAAE,cAAcU,EAAEV,EAAE,aAAaW,EAAEX,EAAE,eAAe,CAACY,EAAEC,CAAC,EAAE,MAAM,QAAQ,IAAI,CAAC,EAAE,KAAK,EAAEd,EAAE,KAAK,CAAC,CAAC,EAAE,CAAC,gBAAgBe,EAAE,aAAakB,CAAC,EAAE8wC,GAAGlyC,EAAEC,EAAEZ,EAAES,EAAEC,EAAE,CAAC,EAAE,OAAO,IAAI7C,GAAG,EAAE,QAAQ,EAAEiC,IAAI,GAAGA,EAAE,QAAQ,EAAE,CAAC,gBAAgB+tC,GAAGhtC,EAAE,OAAO,EAAE,aAAa4/B,GAAG1+B,EAAE,OAAO,CAAC,CAAC,CAAC,IAAI4xC,GAAGD,GAAG,SAASE,GAAG/1C,EAAE,EAAEE,EAAE,GAAGI,EAAE,GAAG,CAAC,IAAIC,EAAEwrB,EAAE/rB,EAAE,SAAS,gBAAgB,EAAE8X,EAAEvX,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,gEAAgEA,EAAE,OAAO,EAAEuX,EAAE,EAAE,SAAS,EAAE,IAAI,6DAA6D,IAAI,EAAEA,EAAExX,IAAI,IAAIJ,IAAI,GAAG,IAAI,mFAAmF,EAAE,IAAI,EAAEK,EAAE,EAAE,GAAGA,EAAE,OAAO,IAAI,EAAE,GAAG,EAAE07B,EAAE17B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,GAAG,CAAC,EAAE,EAAE0B,EAAE,CAAC,OAAO,CAAC,EAAEC,EAAE,CAAC,aAAahC,EAAE,iBAAiBI,EAAE,KAAK,CAAC,EAAE6B,EAAE8oB,EAAE,UAAUnI,GAAG7gB,EAAEC,CAAC,EAAE,OAAO,EAAE+5B,EAAE95B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAI6zC,GAAG9pB,EAAE,CAAC,gBAAgB6pB,EAAE,CAAC,EAAE,SAASE,GAAGj2C,EAAE,EAAEE,EAAE,GAAGI,EAAE,GAAG,CAAC,IAAIC,EAAEwrB,EAAE/rB,EAAE,SAAS,uBAAuB,EAAE8X,EAAEvX,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,uEAAuEA,EAAE,OAAO,EAAEuX,EAAE,EAAE,SAAS,EAAE,IAAI,oEAAoE,IAAI,EAAEA,EAAEvX,EAAE,QAAQ,WAAWA,EAAE,QAAQ,QAAQ,IAAI,kDAAkD,EAAEuX,EAAExX,IAAI,IAAIJ,IAAI,GAAG,IAAI,0FAA0F,EAAE,IAAI,EAAEK,EAAE,EAAE,GAAGA,EAAE,OAAO,IAAI,EAAE,GAAG,EAAE07B,EAAE17B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,GAAG,CAAC,EAAE,EAAE0B,EAAE,CAAC,OAAO,CAAC,EAAEC,EAAE,CAAC,aAAahC,EAAE,iBAAiBI,EAAE,KAAK,CAAC,EAAE6B,EAAE8oB,EAAE,UAAUrI,GAAG3gB,EAAEC,CAAC,EAAE,OAAO,EAAE+5B,EAAE95B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAI+zC,GAAGhqB,EAAE,CAAC,uBAAuB+pB,EAAE,CAAC,EAAE,SAASE,GAAGn2C,EAAE,EAAE,SAASE,EAAE,GAAGI,EAAE,GAAG,CAAC,IAAIC,EAAEwrB,EAAE/rB,EAAE,QAAQ,WAAW,EAAE,EAAE,MAAM,EAAE,KAAKiC,EAAE,KAAKC,EAAE3B,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG4B,EAAEg3B,EAAE6W,GAAG,CAAC1vC,CAAC,CAAC,EAAE,GAAG,EAAEsC,EAAEC,EAAEC,EAAEC,EAAE,GAAG+U,EAAEvX,EAAE,OAAO,EAAE,IAAI,yDAAyDA,EAAE,OAAO,EAAEuX,EAAEvX,EAAE,MAAM,KAAK,GAAGA,EAAE,MAAM,KAAK,EAAE,IAAI,0EAA0EA,EAAE,MAAM,KAAK,EAAEuX,EAAEvX,EAAE,QAAQ,SAASA,EAAE,QAAQ,UAAU,IAAI,sEAAsEA,EAAE,QAAQ,EAAEuX,EAAE,IAAI,QAAQ,IAAI,SAAS,IAAI,0CAA0C,GAAG,EAAEvX,EAAE,MAAM,KAAK,EAAE,CAAC,CAACqC,EAAEC,EAAEC,CAAC,EAAEmsC,GAAG1uC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE,IAAI4D,EAAEg1B,EAAEv2B,EAAE,CAAC,EAAE2E,EAAE4xB,EAAEt2B,EAAE,CAAC,EAAE,EAAEs2B,EAAEr2B,EAAEb,CAAC,EAAEc,EAAE81B,EAAEA,EAAE10B,EAAEoD,CAAC,EAAE,CAAC,CAAC,MAAMxE,EAAE/C,EAAE,GAAG,IAAI,OAAO,CAAC,IAAImE,EAAEy5B,GAAGpN,GAAEyc,GAAGlqC,CAAC,EAAE,OAAO,EAAEupB,GAAG,CAAC,CAAC,EAAE,GAAG,EAAEnqB,EAAEi0C,GAAGjyC,EAAEjC,CAAC,CAAC,CAAC,IAAIc,EAAE9C,EAAEmlC,GAAGtiC,EAAEZ,CAAC,EAAEoiC,GAAGxhC,EAAEZ,CAAC,EAAE,OAAOquB,GAAE2I,EAAEn2B,EAAE,GAAG,EAAE,OAAO,CAAC,CAAC,SAASozC,GAAGp2C,EAAE,EAAE,CAAC,IAAIE,EAAE8vC,GAAG,CAAC,EAAE,CAAC,EAAE1vC,EAAE0vC,GAAG,CAAC,CAAC,CAAC,EAAEzvC,EAAEyvC,GAAG,CAAC,CAAC,CAAC,EAAE,EAAE,EAAE/tC,EAAEC,EAAEC,EAAES,EAAE,QAAQC,EAAE,EAAEA,EAAE7C,EAAE,KAAK,EAAE6C,IAAI,CAAC,EAAE85B,GAAG38B,EAAE,EAAE6C,EAAE,CAAC,EAAE,EAAE85B,GAAG38B,EAAE6C,EAAE,CAAC,EAAEV,EAAE82B,GAAGiK,GAAG,CAAC,EAAE,CAAC,EAAEtgC,EAAEq2B,GAAGiK,GAAG,CAAC,EAAE,CAAC,EAAE,IAAIpgC,EAAEogC,GAAG/J,EAAE,EAAE4S,GAAG,EAAE,EAAE,IAAI,CAAC,CAAC,EAAE9pC,EAAEg3B,GAAGn2B,EAAEogC,GAAG,CAAC,CAAC,EAAE,IAAIngC,EAAEo7B,GAAG,EAAE,MAAM,EAAE,IAAI,EAAEn7B,EAAE61B,EAAEkT,GAAG,EAAE,EAAE,IAAI,EAAEhpC,CAAC,EAAEmB,EAAEi1B,EAAE,EAAEn2B,CAAC,EAAEd,EAAE+2B,GAAGiK,GAAGh/B,CAAC,EAAEg/B,GAAG,CAAC,CAAC,EAAE,IAAI,EAAEuD,GAAGxkC,EAAEC,CAAC,EAAEqF,EAAEk/B,GAAGxkC,EAAEC,CAAC,EAAE6C,EAAEo0B,EAAEh3B,EAAES,CAAC,EAAErC,EAAE44B,EAAEA,EAAEp0B,EAAE,CAAC,EAAEwC,CAAC,EAAE,IAAI5C,EAAE4/B,GAAGhkC,EAAED,CAAC,EAAEA,EAAE2gC,GAAGt8B,EAAEpE,EAAED,CAAC,EAAEJ,EAAE+gC,GAAGt8B,EAAEqrC,GAAG,CAACntC,CAAC,CAAC,EAAE3C,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,IAAIm2C,GAAGnqB,EAAE,CAAC,WAAWiqB,EAAE,CAAC,EAAE,SAASG,GAAGt2C,EAAE,EAAEE,EAAE,UAAUI,EAAE,WAAWC,EAAE,EAAE,EAAE,CAAC,IAAI,EAAEwrB,EAAE/rB,EAAE,QAAQ,YAAY,SAAS,EAAEiC,EAAE8pB,EAAE,EAAE,aAAa,YAAY,SAAS,EAAEjU,EAAE,EAAE,OAAO,EAAE,IAAI,yDAAyD,EAAE,OAAO,EAAEA,EAAE7V,EAAE,OAAO,IAAIA,EAAE,MAAM,KAAK,EAAE,MAAM,IAAIA,EAAE,MAAM,KAAK,IAAIA,EAAE,MAAM,KAAK,EAAE,IAAI,kEAAkE,EAAE6V,EAAE,GAAG,MAAM,EAAE,SAAS,EAAE,IAAI,4EAA4E,IAAI,EAAE,IAAI5V,EAAE,CAAC,MAAM,EAAE,WAAWD,CAAC,EAAEE,EAAE,CAAC,cAAcjC,EAAE,SAASI,EAAE,UAAUC,EAAE,YAAY,CAAC,EAAE,OAAO0qB,EAAE,UAAU9F,GAAGjjB,EAAEC,CAAC,CAAC,CAAC,IAAIo0C,GAAGrqB,EAAE,CAAC,WAAWoqB,EAAE,CAAC,EAAE,SAASE,GAAGx2C,EAAE,EAAEE,EAAE,CAAC4X,EAAE,EAAE,IAAI,EAAE,IAAI,gDAAgD,IAAI,EAAEA,EAAE5X,EAAE,IAAI,EAAE,IAAI,gDAAgDA,IAAI,EAAE,IAAII,EAAEyrB,EAAE/rB,EAAE,IAAI,UAAU,EAAE8X,EAAExX,EAAE,MAAM,EAAE,IAAI,4CAA4CA,EAAE,OAAO,EAAE,IAAIC,EAAED,EAAE,MAAM,CAAC,EAAE,CAAC,EAAEA,EAAE,MAAM,MAAM,EAAE,EAAE,GAAG,EAAE,GAAG,GAAG,MAAM,IAAI,MAAM,yBAAyB,mDAAmD,KAAK,EAAE,GAAG,EAAEJ,GAAG,GAAG,MAAM,IAAI,MAAM,yBAAyBA,sDAAsD,KAAK,EAAE,EAAE,IAAI,EAAE,GAAGA,EAAE,IAAIA,EAAE,GAAG,IAAI+B,EAAEg6B,EAAE8P,GAAG,EAAE,EAAE,EAAE,OAAO,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE7pC,EAAE6pC,GAAG,EAAE,EAAE,EAAE,OAAO,EAAE5pC,EAAEskC,GAAGxkC,EAAEC,CAAC,EAAEU,EAAEmkC,GAAG1B,GAAGljC,EAAEygC,GAAG,CAAC,EAAE,OAAO,CAAC,EAAE6B,GAAGtiC,EAAEygC,GAAG,CAAC1iC,EAAE,OAAO,CAAC,CAAC,EAAE2C,EAAEulC,GAAG,CAAC,EAAE,CAAC,EAAE9nC,EAAE,KAAK,EAAE,OAAO27B,EAAEwT,GAAGqB,GAAG7U,EAAE37B,EAAE,CAAC,GAAG,EAAE,CAAC,CAAC,CAAC,EAAE,IAAIwC,GAAGm+B,GAAGr+B,EAAEE,EAAED,CAAC,CAAC,CAAC,EAAEtC,CAAC,CAAC,CAAC,IAAIk2C,GAAGvqB,EAAE,CAAC,UAAUsqB,EAAE,CAAC,EAAE,SAASE,GAAG12C,EAAE,CAAC,IAAI,EAAE,GAAG,MAAM,QAAQA,CAAC,EAAE,CAAC,EAAE,GAAG8X,EAAE9X,GAAG,MAAMA,EAAE,OAAO,EAAE,IAAI,mEAAmE,EAAE,IAAIO,EAAEP,EAAE,GAAG,MAAM,GAAG,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAE8X,EAAE9X,EAAE,GAAG,MAAM,KAAKO,EAAE,IAAI,iEAAiEP,EAAE,GAAG,MAAM,UAAUO,IAAI,CAAC,MAAM,EAAE,GAAGP,EAAEivC,GAAGjvC,EAAEA,EAAE,MAAM,GAAG,CAAC,EAAE,IAAIO,GAAGgvC,GAAGhvC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEuX,EAAE9X,EAAE,QAAQA,EAAE,GAAG,MAAM,GAAG,IAAI,oCAAoCA,EAAE,yCAAyCA,EAAE,GAAG,MAAM,MAAM,EAAE,IAAIE,EAAE,CAAC,EAAEI,EAAEN,EAAE,QAAQO,EAAE,EAAEA,EAAEP,EAAE,OAAO,EAAEO,EAAEL,EAAE,KAAK+qB,EAAE,KAAK,IAAI,CAAC,IAAI,EAAE3qB,EAAEC,GAAG,GAAGA,EAAE,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAE,CAAC,IAAI0B,EAAEk3B,EAAE+J,GAAG/J,EAAEj5B,EAAE,GAAG,CAAC,CAAC,EAAEA,EAAE,EAAE,EAAE,EAAEumC,GAAG,EAAExkC,CAAC,CAAC,CAAC,OAAOg3B,GAAG,EAAEoK,GAAG,EAAE,WAAW,CAAC,CAAC,CAAC,CAAC,EAAE,OAAO,EAAEoM,GAAGvvC,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIy2C,GAAGzqB,EAAE,CAAC,aAAawqB,EAAE,CAAC,EAAE,SAASE,GAAG52C,EAAE,EAAE,GAAG,CAAC,GAAG8X,EAAE9X,EAAE,MAAM,EAAE,IAAI,gEAAgEA,EAAE,MAAM,EAAEA,EAAE,OAAO,EAAE,OAAO62C,GAAG72C,EAAE,CAAC,EAAE,CAAC,IAAIE,EAAEF,EAAE,MAAM,MAAM,EAAEA,EAAE,MAAM,OAAO,CAAC,EAAE,OAAO,CAACkC,EAAEC,IAAID,EAAEC,CAAC,EAAE7B,EAAEwwC,GAAG7U,EAAEj8B,EAAE,CAACE,EAAEF,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAGA,EAAE,MAAMA,EAAE,MAAM,OAAO,EAAE,CAAC,EAAE,CAAC,EAAEO,EAAE,CAAC,EAAE,EAAE,CAAC,EAAED,EAAE,QAAQ4B,GAAG,CAAC,GAAG,CAACC,EAAES,CAAC,EAAEi0C,GAAG30C,EAAE,CAAC,EAAE3B,EAAE,KAAK4B,CAAC,EAAE,EAAE,KAAKS,CAAC,CAAC,CAAC,EAAE,IAAI,EAAEq5B,EAAEwT,GAAGlvC,EAAE,CAAC,EAAEP,EAAE,KAAK,EAAEiC,EAAEg6B,EAAEwT,GAAG,EAAE,CAAC,EAAEzvC,EAAE,KAAK,EAAE,MAAM,CAAC,EAAEiC,CAAC,CAAC,CAAC,CAAC,SAAS40C,GAAG72C,EAAE,EAAE,GAAG,CAAC,OAAOirB,EAAE,KAAK,IAAI,CAACnT,EAAE9X,EAAE,MAAM,SAAS,EAAE,IAAI,0CAA0CA,EAAE,MAAM,iBAAiB,EAAE,IAAIE,EAAEF,EAAE,MAAM,GAAGM,EAAEN,EAAE,MAAM,GAAGO,EAAE0jC,GAAG/jC,CAAC,EAAE,EAAEwwB,GAAG1wB,CAAC,EAAE,EAAEiwC,GAAG,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEhuC,EAAEyuB,GAAG,CAAC,EAAExuB,EAAEhC,GAAGI,EAAEA,EAAEJ,EAAE,QAAQiC,EAAE,EAAEA,EAAED,EAAE,EAAEC,EAAE,CAAC,IAAIS,EAAE,EAAEC,EAAEZ,EAAEa,EAAEvC,EAAE,CAAC0B,EAAE,EAAE1B,CAAC,EAAE0qB,EAAE,KAAK,IAAI,CAAC,IAAIloB,EAAE45B,GAAG,EAAE,CAACx6B,EAAEA,CAAC,EAAE,CAACjC,EAAEiC,EAAE,CAAC,CAAC,EAAEa,EAAEqgC,GAAGtgC,CAAC,EAAEmB,EAAEy4B,GAAG,EAAE,CAACx6B,EAAEA,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,EAAE8+B,GAAGsD,GAAGrgC,EAAE,CAAC,EAAE+rC,GAAG,CAAC,CAAC,EAAE,CAAC,CAAC,EAAEA,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE1oC,EAAEk/B,GAAGviC,EAAEi1B,EAAE,EAAEn2B,CAAC,CAAC,EAAE+B,EAAEk0B,GAAGl2B,EAAEwE,CAAC,EAAExC,EAAE,MAAM,KAAK,EAAE9C,EAAEyuB,GAAG,CAAC,EAAEzuB,EAAEs6B,GAAG,CAAC,EAAEI,GAAG53B,EAAE,CAAC,EAAE,CAAC,EAAE,CAACA,EAAE,MAAM,GAAG,EAAEA,EAAE,MAAM,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,IAAIJ,EAAE6vB,GAAGyE,GAAGpG,GAAG,EAAEtrB,CAAC,EAAEvE,CAAC,CAAC,EAAE4B,EAAE+3B,GAAG,EAAE,CAACx6B,EAAE,CAAC,EAAE,CAACjC,EAAEiC,EAAE7B,CAAC,CAAC,EAAEuE,EAAEs0B,EAAEx0B,EAAE1C,CAAC,EAAE6C,EAAE8vB,GAAG3yB,CAAC,EAAE,GAAGE,IAAI,EAAE,EAAEskC,GAAG7hC,EAAEiuB,GAAGhuB,EAAEguB,GAAG/tB,EAAEF,CAAC,CAAC,CAAC,MAAM,CAAC,IAAI6C,EAAEg/B,GAAG7hC,EAAEiuB,GAAGhuB,EAAEguB,GAAG/tB,EAAEF,CAAC,CAAC,CAAC,EAAE,EAAE23B,GAAG,CAACI,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAACx6B,EAAE7B,CAAC,CAAC,EAAEmH,CAAC,EAAE,CAAC,CAAC,CAAC,IAAID,EAAEotB,GAAG/vB,CAAC,EAAEG,EAAE23B,GAAGp8B,EAAE,CAAC,EAAE4B,CAAC,EAAE,CAACjC,EAAEK,EAAE,MAAM,GAAG4B,CAAC,CAAC,EAAE,GAAGA,IAAI,EAAE5B,EAAEkmC,GAAGzhC,EAAE6tB,GAAGA,GAAG7tB,EAAE/C,CAAC,EAAEuF,CAAC,CAAC,MAAM,CAAC,IAAIC,EAAEg/B,GAAGzhC,EAAE6tB,GAAGA,GAAG7tB,EAAE/C,CAAC,EAAEuF,CAAC,CAAC,EAAEjH,EAAEg8B,GAAG,CAACI,GAAGp8B,EAAE,CAAC,EAAE,CAAC,EAAE,CAACL,EAAEiC,CAAC,CAAC,EAAEsF,CAAC,EAAE,CAAC,CAAC,CAAC,MAAM,CAACxF,EAAE,EAAE1B,CAAC,CAAC,CAAC,EAAEkzB,GAAG,CAAC7wB,EAAEC,EAAEC,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,GAAG5C,EAAEI,IAAIC,EAAEo8B,GAAGp8B,EAAE,CAAC,EAAE,CAAC,EAAE,CAACL,EAAEI,CAAC,CAAC,EAAE,EAAEq8B,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAACr8B,EAAEA,CAAC,CAAC,GAAG,CAACC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIu2C,GAAG5qB,EAAE,CAAC,IAAI0qB,EAAE,CAAC,EAAMG,IAAI,SAAS/2C,EAAE,CAACA,EAAEA,EAAE,KAAK,GAAG,OAAOA,EAAEA,EAAE,KAAK,GAAG,OAAOA,EAAEA,EAAE,IAAI,GAAG,MAAMA,EAAEA,EAAE,uBAAuB,GAAG,wBAAwB,GAAG+2C,KAAKA,GAAG,CAAC,EAAE,EAAE,SAASC,GAAGh3C,EAAE,EAAEE,EAAE62C,GAAG,uBAAuB,CAAC,IAAIz2C,EAAEyrB,EAAE/rB,EAAE,SAAS,qBAAqB,EAAEO,EAAE,KAAK,GAAG,OAAOA,EAAEwrB,EAAE,EAAE,UAAU,qBAAqB,GAAG,IAAI,EAAExrB,GAAG,KAAKD,EAAE64B,EAAE74B,EAAEC,CAAC,EAAE,GAAGL,IAAI62C,GAAG,KAAK,OAAO,EAAE,GAAG72C,IAAI62C,GAAG,IAAI,OAAO7T,GAAG,CAAC,EAAE,GAAGhjC,IAAI62C,GAAG,KAAK,CAAC,GAAGx2C,GAAG,KAAK,OAAO4nC,GAAG,CAAC,EAAE,CAAC,IAAI,EAAE7nC,EAAE,KAAKC,EAAE,KAAK0B,EAAEg3B,GAAGiK,GAAG,CAAC,EAAEA,GAAG3iC,CAAC,CAAC,EAAE,OAAO,EAAE,EAAE04B,GAAGh3B,EAAE2gC,GAAG,CAAC,CAAC,EAAE3gC,CAAC,CAAC,CAAC,GAAG/B,IAAI62C,GAAG,uBAAuB,CAAC,GAAGx2C,GAAG,KAAK,OAAO04B,GAAGiK,GAAG,CAAC,EAAEN,GAAGtiC,EAAE,IAAI,CAAC,EAAE,CAAC,IAAI,EAAE64B,EAAE54B,EAAE8nC,GAAG/nC,EAAE,KAAK,CAAC,EAAE2B,EAAEuuB,GAAE0S,GAAGkG,GAAG,EAAExG,GAAG,CAAC,CAAC,CAAC,EAAE,SAAS,EAAE,OAAO3J,GAAGiK,GAAG,CAAC,EAAEjhC,CAAC,CAAC,CAAC,CAAC,MAAM,MAAM,sBAAsB/B,GAAG,CAAC,CAAC,IAAI+2C,GAAG/qB,EAAE,CAAC,qBAAqB8qB,EAAE,CAAC,EAAE,SAASE,GAAGl3C,EAAE,EAAEE,EAAEI,EAAEy2C,GAAG,uBAAuB,CAAC,IAAIx2C,EAAEwrB,EAAE/rB,EAAE,SAAS,oBAAoB,EAAE,EAAE+rB,EAAE,EAAE,cAAc,oBAAoB,EAAE,EAAE,KAAK7rB,GAAG,OAAO,EAAE6rB,EAAE7rB,EAAE,UAAU,oBAAoB,GAAG6X,GAAGxX,EAAE,MAAM,EAAE,MAAM,+BAA+B,EAAE,IAAI0B,EAAEo3B,GAAGoN,GAAGlmC,EAAE,CAAC,CAAC,EAAE,OAAO02C,GAAGh1C,EAAE,EAAE3B,CAAC,CAAC,CAAC,IAAI62C,GAAGjrB,EAAE,CAAC,oBAAoBgrB,EAAE,CAAC,EAAE,SAASE,GAAGp3C,EAAE,EAAEE,EAAEI,EAAEC,EAAEw2C,GAAG,uBAAuB,CAAC,IAAI,EAAEhrB,EAAE/rB,EAAE,SAAS,gBAAgB,EAAE,EAAE+rB,EAAE,EAAE,cAAc,gBAAgB,EAAE9pB,EAAE,KAAK3B,GAAG,OAAO2B,EAAE8pB,EAAEzrB,EAAE,UAAU,gBAAgB,GAAGyX,GAAG,EAAE,MAAM,EAAE,MAAM,2BAA2B,EAAE,IAAI7V,EAAE0gC,GAAG,CAAC,EAAEzgC,EAAEskC,GAAGvkC,EAAEghC,GAAG/J,EAAE,EAAE,CAAC,EAAEj5B,EAAE,EAAE,CAAC,EAAE,OAAO+2C,GAAG90C,EAAEF,EAAE1B,CAAC,CAAC,CAAC,IAAI82C,GAAGnrB,EAAE,CAAC,gBAAgBkrB,EAAE,CAAC,EAAE,SAASE,GAAGt3C,EAAE,EAAEE,EAAEI,EAAEy2C,GAAG,uBAAuB,CAAC,IAAIx2C,EAAEwrB,EAAE/rB,EAAE,SAAS,WAAW,EAAE,EAAE+rB,EAAE,EAAE,cAAc,WAAW,EAAE,EAAE,KAAK7rB,GAAG,OAAO,EAAE6rB,EAAE7rB,EAAE,UAAU,WAAW,GAAG6X,GAAGxX,EAAE,MAAM,EAAE,MAAM,sBAAsB,EAAE,IAAI0B,EAAE2gC,GAAG,CAAC,EAAEriC,EAAEkmC,GAAGtN,EAAEyJ,GAAG,CAAC,EAAEriC,CAAC,EAAE0B,CAAC,EAAE,IAAIC,EAAEiqC,GAAG1F,GAAGxkC,EAAEk3B,EAAE54B,EAAE,CAAC,CAAC,CAAC,EAAE,OAAO02C,GAAG/0C,EAAE,EAAE5B,CAAC,CAAC,CAAC,IAAIi3C,GAAGrrB,EAAE,CAAC,WAAWorB,EAAE,CAAC,EAAE,SAASE,GAAGx3C,EAAE,EAAEE,EAAEI,EAAE,EAAEC,EAAEw2C,GAAG,uBAAuB,CAAC,IAAI,EAAEhrB,EAAE/rB,EAAE,SAAS,WAAW,EAAE,EAAE+rB,EAAE,EAAE,cAAc,WAAW,EAAE9pB,EAAE,KAAK/B,GAAG,OAAO+B,EAAE8pB,EAAE7rB,EAAE,UAAU,WAAW,GAAG6X,GAAG,EAAE,MAAM,EAAE,MAAM,sBAAsB,EAAE,IAAI7V,EAAE0gC,GAAGtiC,CAAC,EAAE6B,EAAEk3B,GAAGoN,GAAG,EAAE,CAAC,CAAC,EAAE7jC,EAAE4lC,GAAGrmC,EAAED,CAAC,EAAEW,EAAE4jC,GAAGtkC,EAAES,CAAC,EAAEE,EAAE+1B,EAAEM,EAAEyJ,GAAG,EAAE,EAAEI,GAAGpgC,CAAC,CAAC,EAAEu2B,EAAEj3B,EAAEW,CAAC,CAAC,EAAE,OAAOo0C,GAAGn0C,EAAEb,EAAE1B,CAAC,CAAC,CAAC,IAAIk3C,GAAGvrB,EAAE,CAAC,WAAWsrB,EAAE,CAAC,EAAE,SAASE,GAAG13C,EAAE,EAAEE,EAAEI,EAAE,KAAKC,EAAEw2C,GAAG,uBAAuB,CAAC,IAAI,EAAEhrB,EAAE/rB,EAAE,SAAS,SAAS,EAAE,EAAE+rB,EAAE,EAAE,cAAc,SAAS,EAAE9pB,EAAE,KAAK/B,GAAG,OAAO+B,EAAE8pB,EAAE7rB,EAAE,UAAU,SAAS,GAAG6X,GAAG,EAAE,MAAM,EAAE,MAAM,oBAAoB,EAAE,IAAI7V,EAAE0gC,GAAG,CAAC,EAAEzgC,EAAEygC,GAAGtiC,CAAC,EAAEsC,EAAE4xB,GAAG2E,EAAE,EAAEuM,GAAG7M,EAAE,EAAE12B,CAAC,CAAC,CAAC,CAAC,EAAEU,EAAEs2B,EAAEsN,GAAGvkC,EAAE,CAAC,EAAEwjC,GAAG7M,EAAE4N,GAAGvkC,EAAE,CAAC,EAAEC,CAAC,CAAC,CAAC,EAAEW,EAAE2jC,GAAG7jC,EAAEC,CAAC,EAAE,OAAOo0C,GAAGn0C,EAAEb,EAAE1B,CAAC,CAAC,CAAC,IAAIo3C,GAAGzrB,EAAE,CAAC,SAASwrB,EAAE,CAAC,EAAE,SAASE,GAAG53C,EAAE,EAAEE,EAAEI,EAAEy2C,GAAG,uBAAuB,CAAC,IAAIx2C,EAAEwrB,EAAE/rB,EAAE,SAAS,kBAAkB,EAAE,EAAE+rB,EAAE,EAAE,cAAc,kBAAkB,EAAE,EAAE,KAAK7rB,GAAG,OAAO,EAAE6rB,EAAE7rB,EAAE,UAAU,kBAAkB,GAAG6X,GAAGxX,EAAE,MAAM,EAAE,MAAM,6BAA6B,EAAE,IAAI0B,EAAEotC,GAAG9uC,EAAE,CAAC,EAAE,OAAO02C,GAAGh1C,EAAE,EAAE3B,CAAC,CAAC,CAAC,IAAIu3C,GAAG3rB,EAAE,CAAC,kBAAkB0rB,EAAE,CAAC,EAAE,SAASE,GAAG93C,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,SAAS,+BAA+B,EAAEM,EAAEyrB,EAAE,EAAE,SAAS,+BAA+B,EAAEhU,GAAG7X,EAAE,MAAMI,EAAE,MAAM,0CAA0C,EAAE,IAAIC,EAAE4rC,GAAG7rC,CAAC,EAAE,EAAE64B,EAAE74B,EAAEJ,CAAC,EAAE,EAAE0lC,GAAGnC,GAAGjP,GAAG6E,GAAG/4B,CAAC,CAAC,CAAC,CAAC,EAAE,OAAOu4B,EAAE4N,GAAGlmC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,SAASw3C,GAAG/3C,EAAE,EAAEE,EAAEI,EAAE,EAAEC,EAAEw2C,GAAG,uBAAuB,CAAC,IAAI,EAAEhrB,EAAE/rB,EAAE,mBAAmB,qBAAqB,EAAE,EAAE+rB,EAAE,EAAE,SAAS,qBAAqB,EAAE9pB,EAAE,KAAK,GAAG/B,GAAG,OAAO+B,EAAE8pB,EAAE7rB,EAAE,UAAU,qBAAqB,GAAG6X,GAAG,EAAE,MAAM,EAAE,MAAM,gCAAgC,EAAEzX,EAAE,EAAE,CAAC,IAAI6B,EAAEygC,GAAGtiC,CAAC,EAAEsC,EAAEggC,GAAG,CAAC,EAAE//B,EAAE+/B,GAAG,EAAE,EAAE,EAAE/J,EAAEM,EAAE,EAAEsN,GAAG7jC,EAAET,CAAC,CAAC,EAAEg3B,EAAEt2B,EAAEV,CAAC,CAAC,CAAC,CAAC,IAAID,EAAE41C,GAAG,EAAE,CAAC,EAAE,OAAOb,GAAG/0C,EAAED,EAAE1B,CAAC,CAAC,CAAC,IAAIy3C,GAAG9rB,EAAE,CAAC,qBAAqB6rB,EAAE,CAAC,EAAE,SAASE,GAAGj4C,EAAE,EAAEE,EAAE,GAAG,CAAC,GAAGA,IAAI,KAAKA,EAAE,EAAE,KAAK,GAAGA,IAAI,EAAE,KAAK,EAAE,MAAM,MAAM,mGAAmG,EAAE,oBAAoBA,GAAG,EAAE,OAAOimC,GAAG,CAAC5lC,EAAEwB,EAAEC,IAAI,CAAC,IAAIE,EAAE2kC,GAAG9kC,EAAE,CAAC7B,CAAC,EAAE,EAAE,EAAEiC,EAAEskC,GAAGjW,GAAEzuB,EAAE,SAAS,EAAEG,CAAC,EAAEF,EAAE,CAACzB,EAAE4B,CAAC,CAAC,EAAE,IAAIS,EAAE4xB,GAAG2E,EAAEh3B,EAAE5B,CAAC,CAAC,EAAE,MAAM,CAAC,MAAM2iC,GAAGtgC,EAAE,CAAC1C,CAAC,CAAC,EAAE,SAAS,CAAC6C,EAAEC,IAAI,CAAC,GAAG,CAACkB,EAAEC,CAAC,EAAEnB,EAAEuE,EAAE06B,GAAGl/B,EAAE,MAAM,CAAC7C,CAAC,CAAC,EAAE,MAAM,CAACi5B,EAAE8C,EAAEl5B,EAAEwE,CAAC,EAAEk/B,GAAGjW,GAAEtsB,EAAE,SAAS,EAAEu/B,GAAGt/B,CAAC,CAAC,CAAC,EAAEg1B,EAAE8C,EAAEl5B,EAAEwE,CAAC,EAAEk/B,GAAGhD,GAAGt/B,CAAC,EAAEqsB,GAAEtsB,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAElE,EAAE,CAAC,CAAC,CAAC,SAASk4C,GAAGl4C,EAAE,EAAEE,EAAEI,EAAE,EAAEC,EAAEw2C,GAAG,uBAAuB,CAAC,IAAI,EAAEhrB,EAAE/rB,EAAE,eAAe,qBAAqB,EAAE,EAAE+rB,EAAE,EAAE,SAAS,qBAAqB,EAAE9pB,EAAE,KAAK,GAAG/B,GAAG,OAAO+B,EAAE8pB,EAAE7rB,EAAE,UAAU,qBAAqB,GAAG6X,GAAG,EAAE,MAAM,EAAE,MAAM,gCAAgC,EAAEzX,EAAE,EAAE,CAAC,IAAI6B,EAAEygC,GAAGtiC,CAAC,EAAEsC,EAAEggC,GAAG,CAAC,EAAE//B,EAAE+/B,GAAG,EAAE,MAAM,EAAE,EAAE,EAAE/J,EAAEM,EAAE,EAAEsN,GAAG7jC,EAAET,CAAC,CAAC,EAAE82B,GAAG92B,EAAEU,CAAC,CAAC,CAAC,CAAC,IAAIX,EAAE+1C,GAAG,EAAE,CAAC,EAAE,OAAOhB,GAAG/0C,EAAED,EAAE1B,CAAC,CAAC,CAAC,IAAI43C,GAAGjsB,EAAE,CAAC,qBAAqBgsB,EAAE,CAAC,EAAE,SAASE,GAAGp4C,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEwrB,EAAE/rB,EAAE,UAAU,sBAAsB,OAAO,EAAE,EAAE+rB,EAAE,EAAE,SAAS,qBAAqB,EAAE,EAAEA,EAAE7rB,EAAE,aAAa,sBAAsB,OAAO,EAAE+B,EAAE8pB,EAAEzrB,EAAE,eAAe,sBAAsB,EAAE,KAAK,EAAE,GAAGC,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM;AAAA,UACv3pDA,EAAE,OAAO,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,gDAAgD,EAAE,OAAO,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,qDAAqD,EAAE,OAAO,EAAE,GAAG0B,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,uDAAuDA,EAAE,OAAO,EAAE,IAAIC,EAAE,CAAC,QAAQ3B,EAAE,OAAO,EAAE,WAAW,EAAE,aAAa0B,CAAC,EAAEE,EAAE8oB,EAAE,UAAU9G,GAAGjiB,CAAC,EAAE,MAAM,CAAC,cAAcC,EAAE,GAAG,aAAaA,EAAE,GAAG,kBAAkBA,EAAE,GAAG,gBAAgBA,EAAE,EAAE,CAAC,CAAC,IAAIk2C,GAAGnsB,EAAE,CAAC,qBAAqBksB,EAAE,CAAC,EAAE,SAASE,GAAGt4C,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEyrB,EAAE/rB,EAAE,eAAe,gBAAgB,OAAO,EAAEO,EAAEwrB,EAAE,EAAE,aAAa,gBAAgB,OAAO,EAAE,EAAEA,EAAE7rB,EAAE,WAAW,gBAAgB,OAAO,EAAE,GAAGI,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM;AAAA,UACnqBA,EAAE,OAAO,EAAE,GAAGC,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,qDAAqDA,EAAE,OAAO,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,mDAAmD,EAAE,OAAO,EAAE,IAAI,EAAE,CAAC,aAAaD,EAAE,WAAWC,EAAE,SAAS,CAAC,EAAE0B,EAAEgpB,EAAE,UAAU7G,GAAG,CAAC,EAAE,MAAM,CAAC,cAAcniB,EAAE,GAAG,YAAYA,EAAE,EAAE,CAAC,CAAC,IAAIs2C,GAAGrsB,EAAE,CAAC,eAAeosB,EAAE,CAAC,EAAE,SAASE,GAAGx4C,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEyrB,EAAE/rB,EAAE,OAAO,mBAAmB,EAAEO,EAAEwrB,EAAE,EAAE,UAAU,oBAAoB,OAAO,EAAE,EAAEA,EAAE7rB,EAAE,aAAa,oBAAoB,OAAO,EAAE,GAAGI,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,2DAA2D,EAAE,GAAGC,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM;AAAA,YAC7lBA,EAAE,OAAO,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM;AAAA,YACzC,EAAE,OAAO,EAAE,IAAI,EAAE,CAAC,KAAKD,EAAE,QAAQC,EAAE,WAAW,CAAC,EAAE,OAAO0qB,EAAE,UAAU5G,GAAG,CAAC,CAAC,CAAC,IAAIo0B,GAAGvsB,EAAE,CAAC,mBAAmBssB,EAAE,CAAC,EAAE,SAASE,GAAG14C,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEyrB,EAAE/rB,EAAE,OAAO,kBAAkB,EAAEO,EAAEwrB,EAAE,EAAE,UAAU,mBAAmB,OAAO,EAAE,EAAEA,EAAE7rB,EAAE,aAAa,mBAAmB,OAAO,EAAE,GAAGI,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,2DAA2D,EAAE,GAAGC,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM;AAAA,WACvXA,EAAE,OAAO,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM;AAAA,WACzC,EAAE,OAAO,EAAE,IAAI,EAAE,CAAC,KAAKD,EAAE,QAAQC,EAAE,WAAW,CAAC,EAAE,OAAO0qB,EAAE,UAAU3G,GAAG,CAAC,CAAC,CAAC,IAAIq0B,GAAGzsB,EAAE,CAAC,kBAAkBwsB,EAAE,CAAC,EAAE,SAASE,GAAG54C,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAE,CAAC,IAAIC,EAAE6pB,EAAE/rB,EAAE,OAAO,eAAe,QAAQ,EAAE,GAAGkC,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,iCAAiC,EAAE,GAAGA,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,+BAA+BA,EAAE,OAAO,EAAE,IAAIC,EAAE4pB,EAAE,EAAE,aAAa,cAAc,EAAE,GAAG5pB,EAAE,QAAQ,QAAQ,MAAM,IAAI,MAAM,uCAAuC,EAAE,IAAIS,EAAE,CAAC,UAAU1C,EAAE,YAAYI,EAAE,QAAQC,EAAE,SAAS,EAAE,SAAS,EAAE,uBAAuB0B,CAAC,EAAEY,EAAE,CAAC,KAAKX,EAAE,WAAWC,CAAC,EAAEW,EAAEmoB,EAAE,UAAUtG,GAAG9hB,EAAED,CAAC,EAAE,MAAM,CAAC,OAAOE,EAAE,GAAG,aAAaA,EAAE,EAAE,CAAC,CAAC,IAAI+1C,GAAG3sB,EAAE,CAAC,cAAc0sB,EAAE,CAAC,EAAE,SAASE,GAAG94C,EAAE,EAAEE,EAAE,GAAG,CAAC,IAAII,EAAEyrB,EAAE/rB,EAAE,QAAQ,cAAc,QAAQ,EAAEO,EAAEwrB,EAAE,EAAE,YAAY,cAAc,QAAQ,EAAE,GAAGzrB,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,+CAA+CA,EAAE,OAAO,EAAE,GAAGC,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,mDAAmDA,EAAE,OAAO,EAAE,IAAI,EAAE,CAAC,UAAUL,CAAC,EAAE,EAAE,CAAC,MAAMI,EAAE,UAAUC,CAAC,EAAE0B,EAAEgpB,EAAE,UAAUrG,GAAG,EAAE,CAAC,EAAE,MAAM,CAAC,QAAQ3iB,EAAE,GAAG,OAAOA,EAAE,GAAG,MAAMA,EAAE,EAAE,CAAC,CAAC,IAAI82C,GAAG7sB,EAAE,CAAC,aAAa4sB,EAAE,CAAC,EAAE,SAASE,GAAGh5C,EAAE,EAAE,CAAC,IAAIE,EAAE6rB,EAAE/rB,EAAE,QAAQ,yBAAyB,QAAQ,EAAEM,EAAE,CAAC,WAAW,CAAC,EAAE,GAAG,GAAG,EAAE,MAAM,IAAI,MAAM,sCAAsC,EAAE,IAAIC,EAAE,CAAC,MAAML,CAAC,EAAE,OAAO+qB,EAAE,UAAUpG,GAAGtkB,EAAED,CAAC,CAAC,CAAC,IAAI24C,GAAG/sB,EAAE,CAAC,wBAAwB8sB,EAAE,CAAC,EAAME,GAAG,CAAC,IAAIvK,GAAG,KAAKE,GAAG,KAAKM,GAAG,MAAMJ,EAAE,EAAEoK,GAAG,CAAC,cAAc3F,GAAG,WAAWE,GAAG,MAAME,GAAG,KAAKE,EAAE,EAAEsF,GAAG,CAAC,cAAclF,GAAG,eAAeE,GAAG,sBAAsB8B,GAAG,eAAeF,GAAG,iBAAiB1B,GAAG,cAAcN,GAAG,kBAAkBS,GAAG,uBAAuBa,GAAG,2BAA2BE,GAAG,gCAAgCE,GAAG,wBAAwBE,GAAG,6BAA6BE,GAAG,UAAUO,GAAG,UAAUE,EAAE,EAAE8C,GAAG,CAAC,SAAS5C,GAAG,YAAYE,GAAG,GAAGG,EAAE,EAAEwC,GAAG,CAAC,mBAAmBnC,GAAG,oBAAoBF,GAAG,eAAeI,GAAG,UAAUE,GAAG,UAAUE,GAAG,QAAQE,GAAG,iBAAiBE,GAAG,oBAAoBG,GAAG,oBAAoBG,EAAE,EAAEoB,GAAG,CAAC,oBAAoBlB,GAAG,cAAcE,GAAG,kBAAkBE,GAAG,iBAAiBE,EAAE,EAAEa,GAAG,CAAC,aAAaX,GAAG,YAAYE,GAAG,uBAAuBE,EAAE,EAAMQ,GAAG,cAAchiB,EAAE,CAAC,SAAS32B,EAAEZ,EAAE,GAAG,EAAE,CAAC,GAAG,CAAC,MAAMK,EAAE,MAAMwB,CAAC,EAAE,KAAK,iBAAiBjB,EAAE,CAAC,EAAE,GAAG,GAAG,KAAK,CAAC,IAAIkB,EAAE,EAAE,IAAIC,IAAI,CAAC,KAAKA,EAAE,KAAK,OAAOF,EAAEE,EAAE,KAAK,EAAE,EAAE,KAAK,eAAeD,CAAC,CAAC,MAAM,KAAK,eAAeD,CAAC,EAAE,OAAO0xB,GAAG1xB,CAAC,EAAE7B,EAAEK,GAAGA,EAAE,QAAQ,EAAE,KAAK,CAAC,IAAI,YAAY,CAAC,OAAO,KAAK,aAAa,OAAO,KAAK,YAAY,GAAG,KAAK,WAAW,CAAC,qBAAqB,CAAC,KAAK,YAAY,KAAK,WAAW,CAAC,CAAC,iBAAiBO,EAAEZ,EAAE,CAAC,OAAOgmC,GAAGplC,EAAEZ,CAAC,CAAC,CAAC,SAAS,CAAC,KAAK,aAAa,MAAMuzB,GAAG,KAAK,WAAW,CAAC,CAAC,MAAM,gBAAgB,CAAC,OAAO,KAAK,aAAa,OAAO,KAAK,YAAY,GAAG,CAAC,KAAK,OAAO,OAAOmP,GAAG,KAAK,YAAY,OAAO,CAAC,CAAC,CAAC,MAAM,YAAY,CAAC,MAAM,IAAI,MAAM,yDAAyD,CAAC,CAAC,MAAM,WAAW9hC,EAAE,CAAC,MAAM,IAAI,MAAM,4DAA4D,KAAK,aAAa,GAAG,CAAC,CAAC,MAAM,kBAAkBA,EAAE,CAAC,OAAO,KAAK,aAAa,MAAMA,EAAE,GAAG,OAAO,KAAK,GAAG,GAAGA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAE,OAAO,eAAe24C,GAAG,OAAO,YAAY,CAAC,MAAMz5C,GAAGA,EAAE,UAAU,MAAMA,EAAE,kBAAkB,MAAMA,EAAE,gBAAgB,IAAI,CAAC,EAAE,IAAI05C,GAAG,cAAcD,EAAE,CAAC,YAAY34C,EAAEZ,EAAE,EAAE,KAAK,CAAC,MAAM,EAAE,KAAK,aAAaY,EAAE,KAAK,IAAIZ,EAAE,KAAK,QAAQ,EAAE,KAAK,iBAAiB,CAAC,EAAE,KAAK,mBAAmB,CAAC,EAAE,GAAG,OAAO,KAAK,QAAQ+qB,EAAE,QAAQ,QAAQ,EAAE,CAAC,eAAenqB,EAAE,EAAE,MAAM,QAAQA,CAAC,EAAEA,EAAE,IAAIR,GAAGA,EAAE,IAAI,EAAE,OAAO,KAAKQ,CAAC,GAAG,QAAQ,CAACR,EAAEC,IAAI,CAAC,IAAIwB,EAAEkpB,EAAE,oBAAoB3qB,GAAG0B,EAAE,GAAG,KAAK,iBAAiBzB,IAAI,OAAO,KAAK,iBAAiBA,GAAG,CAAC,aAAa,GAAGD,eAAe,SAASkzB,EAAE,IAAI2N,GAAGp/B,CAAC,EAAE,SAASC,CAAC,CAAC,CAAC,GAAG,KAAK,mBAAmBzB,IAAI,OAAO,KAAK,mBAAmBA,GAAG,CAAC,aAAa,GAAGD,cAAc,SAASkzB,EAAE,IAAI2N,GAAGp/B,CAAC,EAAE,SAASC,CAAC,CAAC,CAAC,GAAG,IAAIC,EAAE,MAAM,QAAQnB,CAAC,EAAEA,EAAEP,GAAG,OAAOO,EAAER,GAAG,GAAG2B,GAAG,KAAK,OAAO,IAAIC,EAAE,KAAK,iBAAiB3B,GAAG,SAAS4B,EAAE,KAAK,mBAAmB5B,GAAG,SAASizB,EAAE,IAAI,CAAC,IAAI5wB,EAAEi2B,EAAEM,EAAEj3B,EAAE,KAAK,GAAG,EAAEi3B,EAAE6J,GAAG/gC,CAAC,EAAE,EAAE,KAAK,GAAG,CAAC,EAAEY,EAAEs2B,EAAEF,GAAG6J,GAAGjK,EAAE12B,EAAE,KAAK,OAAO,CAAC,EAAE2gC,GAAGjK,EAAE32B,EAAE,KAAK,OAAO,CAAC,CAAC,EAAED,CAAC,EAAEa,EAAE+1B,EAAEM,EAAEh3B,EAAE,KAAK,GAAG,EAAEg3B,EAAE6J,GAAGngC,CAAC,EAAE,EAAE,KAAK,GAAG,CAAC,EAAEX,EAAE,OAAOU,CAAC,EAAET,EAAE,OAAOW,CAAC,EAAE,IAAIC,EAAE81B,EAAEM,EAAEt2B,EAAE,CAAC,KAAK,YAAY,EAAEd,CAAC,EAAEA,EAAE,OAAOgB,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,oBAAoB,CAAC,CAAC,SAAS,CAAC,KAAK,oBAAoB,OAAO0wB,GAAG,KAAK,iBAAiB,IAAI3yB,GAAGA,EAAE,QAAQ,CAAC,EAAE2yB,GAAG,KAAK,mBAAmB,IAAI3yB,GAAGA,EAAE,QAAQ,CAAC,EAAE,CAAC,MAAM,YAAY,CAAC,IAAIA,EAAE,CAAC,GAAG,KAAK,iBAAiB,GAAG,KAAK,kBAAkB,EAAE,MAAM,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAOA,EAAE,IAAIZ,IAAI,CAAC,KAAKA,EAAE,aAAa,OAAOA,EAAE,QAAQ,EAAE,CAAC,CAAC,CAAC,MAAM,WAAWY,EAAE,CAACA,EAAE,MAAM,KAAK,kBAAkBA,CAAC,EAAE,IAAIZ,EAAEY,EAAE,OAAO,EAAE,EAAE,GAAG,KAAK,iBAAiBA,EAAE,MAAM,EAAEZ,CAAC,EAAE,IAAIK,IAAI,CAAC,aAAaA,EAAE,KAAK,SAASA,EAAE,OAAO,SAAS,CAAC,CAAC,EAAE,EAAE,KAAK,mBAAmBO,EAAE,MAAMZ,EAAEA,EAAE,CAAC,EAAE,IAAIK,IAAI,CAAC,aAAaA,EAAE,KAAK,SAASA,EAAE,OAAO,SAAS,CAAC,CAAC,EAAE,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,aAAa,KAAK,aAAa,IAAI,KAAK,IAAI,QAAQ,KAAK,OAAO,CAAC,CAAC,OAAO,WAAWO,EAAEZ,EAAE,CAAC,OAAO,IAAIY,EAAEZ,EAAE,aAAaA,EAAE,IAAIA,EAAE,OAAO,CAAC,CAAC,EAAEw5C,GAAG,UAAU,WAAW/hB,GAAG+hB,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAY34C,EAAEZ,EAAE,GAAG,CAAC,MAAM,EAAE,KAAK,aAAaY,EAAE,KAAK,wBAAwBZ,EAAE,KAAK,iBAAiB,CAAC,CAAC,CAAC,eAAeY,EAAE,EAAE,MAAM,QAAQA,CAAC,EAAEA,EAAE,IAAIR,GAAGA,EAAE,IAAI,EAAE,OAAO,KAAKQ,CAAC,GAAG,QAAQ,CAACR,EAAEC,IAAI,CAAC,IAAIwB,EAAEkpB,EAAE,oBAAoB3qB,GAAG,KAAK,iBAAiBC,IAAI,OAAO,KAAK,iBAAiBA,GAAG,CAAC,aAAa,GAAGD,gBAAgB,SAASkzB,EAAE,IAAI2K,GAAGp8B,EAAE,MAAM,KAAK,uBAAuB,EAAE,SAAS,EAAE,CAAC,CAAC,GAAG,IAAIC,EAAE,MAAM,QAAQlB,CAAC,EAAEA,EAAEP,GAAG,OAAOO,EAAER,GAAG,GAAG0B,GAAG,KAAK,OAAO,IAAIC,EAAE,KAAK,iBAAiB1B,GAAG,SAASizB,EAAE,IAAI,CAAC,IAAItxB,EAAE22B,EAAE52B,EAAE+gC,GAAGhhC,CAAC,CAAC,EAAEC,EAAE,OAAOC,CAAC,EAAE,IAAIC,EAAE02B,EAAEM,EAAEF,GAAGj3B,EAAE8gC,GAAGjK,EAAE32B,EAAE+oB,EAAE,QAAQ,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,KAAK,YAAY,EAAElpB,CAAC,EAAEA,EAAE,OAAOI,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,oBAAoB,CAAC,CAAC,SAAS,CAAC,KAAK,kBAAkB,MAAMsxB,GAAG,KAAK,iBAAiB,IAAI3yB,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,MAAM,YAAY,CAAC,MAAM,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAO,KAAK,iBAAiB,IAAIA,IAAI,CAAC,KAAKA,EAAE,aAAa,OAAOA,EAAE,QAAQ,EAAE,CAAC,CAAC,CAAC,MAAM,WAAWA,EAAE,CAACA,EAAE,MAAM,KAAK,kBAAkBA,CAAC,EAAE,IAAIZ,EAAE,GAAG,KAAK,iBAAiBY,EAAE,IAAI,IAAI,CAAC,aAAa,EAAE,KAAK,SAAS,EAAE,OAAO,SAASZ,CAAC,CAAC,EAAE,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,aAAa,KAAK,aAAa,wBAAwB,KAAK,uBAAuB,CAAC,CAAC,OAAO,WAAWY,EAAEZ,EAAE,CAAC,OAAO,IAAIY,EAAEZ,EAAE,aAAaA,EAAE,uBAAuB,CAAC,CAAC,EAAEy5C,GAAG,UAAU,UAAUhiB,GAAGgiB,EAAE,EAAE,IAAIC,GAAG,cAAcH,EAAE,CAAC,YAAY34C,EAAEZ,EAAE,EAAEK,EAAE,KAAK,CAAC,MAAM,EAAE,KAAK,aAAaO,EAAE,KAAK,MAAMZ,EAAE,KAAK,MAAM,EAAE,KAAK,QAAQK,EAAE,KAAK,uBAAuB,CAAC,EAAE,KAAK,wBAAwB,CAAC,EAAEizB,EAAE,IAAI,CAAC,KAAK,SAASoP,GAAG1iC,CAAC,EAAE,SAAS,EAAE,KAAK,SAAS0iC,GAAG,CAAC,EAAE,SAAS,CAAC,CAAC,EAAEriC,GAAG,OAAO,KAAK,QAAQ0qB,EAAE,QAAQ,QAAQ,EAAE,CAAC,eAAenqB,EAAE,CAAC,IAAIZ,EAAE,MAAM,QAAQY,CAAC,EAAEA,EAAE,IAAI,GAAG,EAAE,IAAI,EAAE,OAAO,KAAKA,CAAC,EAAE0yB,EAAE,IAAI,CAAC,IAAI,EAAEiT,GAAG,EAAE,KAAK,QAAQ,EAAElmC,EAAEkmC,GAAG,EAAE,KAAK,QAAQ,EAAEvmC,EAAE,QAAQ,CAAC6B,EAAEC,IAAI,CAAC,IAAIC,EAAEgpB,EAAE,oBAAoBlpB,GAAGG,EAAE,GAAG,KAAK,uBAAuBF,IAAI,OAAO,KAAK,uBAAuBA,GAAG,CAAC,aAAa,GAAGD,MAAM,SAASyxB,EAAE,IAAI2N,GAAGl/B,CAAC,EAAE,SAASC,CAAC,CAAC,CAAC,GAAG,KAAK,wBAAwBF,IAAI,OAAO,KAAK,wBAAwBA,GAAG,CAAC,aAAa,GAAGD,MAAM,SAASyxB,EAAE,IAAI2N,GAAGl/B,CAAC,EAAE,SAASC,CAAC,CAAC,CAAC,GAAG,IAAI,EAAE,MAAM,QAAQpB,CAAC,EAAEA,EAAEkB,GAAG,OAAOlB,EAAEiB,GAAG,GAAG,GAAG,KAAK,OAAO,IAAIa,EAAE,KAAK,uBAAuBZ,GAAG,SAAS,EAAE,KAAK,wBAAwBA,GAAG,SAASc,EAAE+1B,EAAEM,EAAEv2B,EAAE,KAAK,KAAK,EAAEu2B,EAAE,EAAE,EAAE,KAAK,KAAK,CAAC,EAAEp2B,EAAE81B,EAAEM,EAAE,EAAE,KAAK,KAAK,EAAEA,EAAE6J,GAAG,CAAC,EAAE,EAAE,KAAK,KAAK,CAAC,EAAEhgC,EAAEi2B,GAAGn2B,EAAE,CAAC,EAAEoB,EAAE+0B,GAAGl2B,EAAExC,CAAC,EAAEqC,EAAE,OAAOE,CAAC,EAAE,EAAE,OAAOC,CAAC,EAAE,IAAIoB,EAAE00B,EAAEM,EAAEF,GAAGj2B,EAAE61B,EAAEiK,GAAG5+B,CAAC,EAAE,KAAK,OAAO,CAAC,EAAE,CAAC,KAAK,YAAY,EAAEjC,CAAC,EAAEA,EAAE,OAAOkC,CAAC,CAAC,CAAC,EAAE,KAAK,SAAS,OAAOg1B,EAAE,KAAK,SAAS,KAAK,KAAK,CAAC,EAAE,KAAK,SAAS,OAAOA,EAAE,KAAK,SAAS,KAAK,KAAK,CAAC,CAAC,CAAC,EAAE,KAAK,oBAAoB,CAAC,CAAC,SAAS,CAAC,KAAK,SAAS,QAAQ,EAAE,KAAK,SAAS,QAAQ,EAAE,KAAK,wBAAwB,MAAM1F,GAAG,KAAK,uBAAuB,IAAI3yB,GAAGA,EAAE,QAAQ,CAAC,EAAE,KAAK,yBAAyB,MAAM2yB,GAAG,KAAK,wBAAwB,IAAI3yB,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,MAAM,YAAY,CAAC,IAAIA,EAAE,CAAC,GAAG,KAAK,uBAAuB,GAAG,KAAK,uBAAuB,EAAE,MAAM,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAOA,EAAE,IAAIZ,IAAI,CAAC,KAAKA,EAAE,aAAa,OAAOA,EAAE,QAAQ,EAAE,CAAC,CAAC,CAAC,MAAM,WAAWY,EAAE,CAACA,EAAE,MAAM,KAAK,kBAAkBA,CAAC,EAAE0yB,EAAE,IAAI,CAAC,KAAK,SAAS,OAAOmP,GAAG,KAAK,MAAM,KAAK,YAAY,CAAC,CAAC,EAAE,KAAK,SAAS,OAAOA,GAAG,KAAK,MAAM,KAAK,YAAY,CAAC,CAAC,CAAC,CAAC,EAAE,IAAIziC,EAAEY,EAAE,OAAO,EAAE,EAAE,GAAG,KAAK,uBAAuBA,EAAE,MAAM,EAAEZ,CAAC,EAAE,IAAIK,IAAI,CAAC,aAAaA,EAAE,KAAK,SAASA,EAAE,OAAO,SAAS,CAAC,CAAC,EAAE,EAAE,KAAK,wBAAwBO,EAAE,MAAMZ,EAAEA,EAAE,CAAC,EAAE,IAAIK,IAAI,CAAC,aAAaA,EAAE,KAAK,SAASA,EAAE,OAAO,SAAS,CAAC,CAAC,EAAE,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,aAAa,KAAK,aAAa,MAAM,KAAK,MAAM,MAAM,KAAK,MAAM,QAAQ,KAAK,OAAO,CAAC,CAAC,OAAO,WAAWO,EAAEZ,EAAE,CAAC,OAAO,IAAIY,EAAEZ,EAAE,aAAaA,EAAE,MAAMA,EAAE,MAAMA,EAAE,OAAO,CAAC,CAAC,EAAE05C,GAAG,UAAU,OAAOjiB,GAAGiiB,EAAE,EAAE,IAAIC,GAAG,cAAcJ,EAAE,CAAC,YAAY34C,EAAEZ,EAAE,EAAEK,EAAE,KAAKwB,EAAE,EAAE,CAAC,MAAM,EAAE,KAAK,aAAajB,EAAE,KAAK,MAAMZ,EAAE,KAAK,MAAM,EAAE,KAAK,QAAQK,EAAE,KAAK,MAAMwB,EAAE,KAAK,uBAAuB,CAAC,EAAE,KAAK,2BAA2B,CAAC,EAAEyxB,EAAE,IAAI,CAAC,KAAK,UAAUoP,GAAG,CAAC,EAAE,SAAS,EAAE,KAAK,SAASA,GAAG1iC,CAAC,EAAE,SAAS,CAAC,CAAC,EAAEK,GAAG,OAAO,KAAK,QAAQ0qB,EAAE,QAAQ,QAAQ,EAAE,CAAC,eAAenqB,EAAE,CAAC,IAAIZ,EAAE,MAAM,QAAQY,CAAC,EAAEA,EAAE,IAAI,GAAG,EAAE,IAAI,EAAE,OAAO,KAAKA,CAAC,EAAE0yB,EAAE,IAAI,CAAC,IAAI,EAAEiT,GAAG,EAAE,KAAK,QAAQ,EAAElmC,EAAE04B,GAAG,CAAC,KAAK,aAAaJ,EAAEM,EAAE,KAAK,UAAU,KAAK,KAAK,EAAE,CAAC,CAAC,EAAEj5B,EAAE,QAAQ,CAAC6B,EAAEC,IAAI,CAAC,IAAIC,EAAEgpB,EAAE,oBAAoBlpB,GAAGG,EAAE,GAAG,KAAK,uBAAuBF,IAAI,OAAO,KAAK,uBAAuBA,GAAG,CAAC,aAAa,GAAGD,MAAM,SAASo/B,GAAGl/B,CAAC,EAAE,SAASC,CAAC,CAAC,GAAG,KAAK,2BAA2BF,IAAI,OAAO,KAAK,2BAA2BA,GAAG,CAAC,aAAa,GAAGD,MAAM,SAASo/B,GAAGl/B,CAAC,EAAE,SAASC,CAAC,CAAC,GAAG,IAAI,EAAE,MAAM,QAAQpB,CAAC,EAAEA,EAAEkB,GAAG,OAAOlB,EAAEiB,GAAG,GAAG,GAAG,KAAK,OAAO,IAAIa,EAAE,KAAK,uBAAuBZ,GAAG,SAAS,EAAE,KAAK,2BAA2BA,GAAG,SAASc,EAAE+1B,EAAEM,EAAEv2B,EAAE,KAAK,KAAK,EAAEu2B,EAAE,EAAE,EAAE,KAAK,KAAK,CAAC,EAAEp2B,EAAEo2B,EAAE,EAAE,KAAK,KAAK,EAAEn2B,EAAEq2B,GAAG,CAAC,EAAEn1B,EAAE+jC,GAAGllC,EAAEC,CAAC,EAAEJ,EAAE,OAAOE,CAAC,EAAE,EAAE,OAAOoB,CAAC,EAAE,IAAIC,EAAE00B,EAAEM,EAAEF,GAAG14B,EAAE,CAAC,EAAE04B,GAAGn2B,EAAE+1B,EAAE30B,EAAE,KAAK,OAAO,CAAC,CAAC,EAAEjC,CAAC,EAAEA,EAAE,OAAOkC,CAAC,CAAC,CAAC,EAAE,KAAK,UAAU,OAAO00B,EAAE,KAAK,UAAU,CAAC,CAAC,EAAE,KAAK,SAAS,OAAOM,EAAE,KAAK,SAAS,KAAK,KAAK,CAAC,CAAC,CAAC,EAAE,KAAK,oBAAoB,CAAC,CAAC,SAAS,CAAC,KAAK,SAAS,QAAQ,EAAE,KAAK,UAAU,QAAQ,EAAE,KAAK,wBAAwB,MAAM1F,GAAG,KAAK,uBAAuB,IAAI3yB,GAAGA,EAAE,QAAQ,CAAC,EAAE,KAAK,4BAA4B,MAAM2yB,GAAG,KAAK,2BAA2B,IAAI3yB,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,MAAM,YAAY,CAAC,MAAM,IAAI,MAAM,iDAAiD,CAAC,CAAC,MAAM,WAAWA,EAAE,CAAC,MAAM,IAAI,MAAM,iDAAiD,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,aAAa,KAAK,aAAa,MAAM,KAAK,MAAM,MAAM,KAAK,MAAM,QAAQ,KAAK,QAAQ,MAAM,KAAK,KAAK,CAAC,CAAC,OAAO,WAAWA,EAAEZ,EAAE,CAAC,OAAO,IAAIY,EAAEZ,EAAE,aAAaA,EAAE,MAAMA,EAAE,MAAMA,EAAE,QAAQA,EAAE,KAAK,CAAC,CAAC,EAAE25C,GAAG,UAAU,SAASliB,GAAGkiB,EAAE,EAAE,IAAIC,GAAG,cAAcL,EAAE,CAAC,YAAY34C,EAAE,CAAC,MAAM,EAAE,KAAK,aAAaA,EAAE,KAAK,gBAAgBA,CAAC,CAAC,CAAC,eAAeA,EAAE,EAAE,MAAM,QAAQA,CAAC,EAAEA,EAAE,IAAIR,GAAGA,EAAE,IAAI,EAAE,OAAO,KAAKQ,CAAC,GAAG,QAAQ,CAACR,EAAEC,IAAI,CAAC,IAAIwB,EAAE,MAAM,QAAQjB,CAAC,EAAEA,EAAEP,GAAG,OAAOO,EAAER,GAAG,GAAGyB,GAAG,KAAK,OAAO,IAAIC,EAAEipB,EAAE,oBAAoB3qB,GAAGkzB,EAAE,IAAI,CAAC,IAAIvxB,EAAE42B,EAAEM,EAAE,KAAK,EAAEp3B,CAAC,EAAEC,CAAC,EAAEA,EAAE,OAAOC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,oBAAoB,CAAC,CAAC,gBAAgBnB,EAAE,CAAC,KAAK,aAAaA,EAAE,KAAK,GAAG,MAAM,KAAK,EAAE,QAAQ,EAAE,KAAK,EAAE4yB,GAAGkP,GAAG,CAAC9hC,CAAC,CAAC,CAAC,CAAC,SAAS,CAAC,KAAK,EAAE,QAAQ,CAAC,CAAC,MAAM,YAAY,CAAC,MAAM,CAAC,MAAM,KAAK,eAAe,CAAC,CAAC,CAAC,MAAM,WAAWA,EAAE,CAAC,GAAGA,EAAE,MAAM,KAAK,kBAAkBA,CAAC,EAAEA,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,+CAA+C,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,aAAa,KAAK,YAAY,CAAC,CAAC,OAAO,WAAWA,EAAEZ,EAAE,CAAC,OAAO,IAAIY,EAAEZ,EAAE,YAAY,CAAC,CAAC,EAAE45C,GAAG,UAAU,MAAMniB,GAAGmiB,EAAE,EAAE,IAAIC,GAAG,cAAcD,EAAE,CAAC,YAAYh5C,EAAEZ,EAAE,EAAE,GAAG,CAAC,MAAMY,CAAC,EAAE,KAAK,aAAaA,EAAE,KAAK,SAASZ,EAAE,KAAK,YAAY,EAAE,KAAK,cAAc,CAAC,EAAE,KAAK,EAAE0iC,GAAG,KAAK,QAAQ,CAAC,CAAC,eAAe9hC,EAAE,EAAE,MAAM,QAAQA,CAAC,EAAEA,EAAE,IAAIR,GAAGA,EAAE,IAAI,EAAE,OAAO,KAAKQ,CAAC,GAAG,QAAQ,CAACR,EAAEC,IAAI,CAAC,IAAIwB,EAAEkpB,EAAE,oBAAoB3qB,GAAG,KAAK,cAAcC,IAAI,OAAO,KAAK,cAAcA,GAAG,CAAC,aAAa,GAAGD,aAAa,SAASkzB,EAAE,IAAI2N,GAAGp/B,CAAC,EAAE,SAAS,EAAE,CAAC,CAAC,GAAG,IAAIC,EAAE,KAAK,cAAczB,GAAG,SAAS0B,EAAE,MAAM,QAAQnB,CAAC,EAAEA,EAAEP,GAAG,OAAOO,EAAER,GAAG2B,GAAG,MAAMuxB,EAAE,IAAI,CAAC,IAAItxB,EAAEC,EAAE02B,EAAEM,EAAE,KAAK,EAAEn3B,CAAC,EAAEC,CAAC,EAAE,KAAK,YAAYC,EAAE22B,EAAEM,EAAE,KAAK,EAAEN,EAAE52B,EAAEk3B,EAAEh3B,EAAE,KAAK,CAAC,CAAC,CAAC,EAAEJ,CAAC,EAAEG,EAAE22B,EAAEM,EAAE,KAAK,EAAEh3B,CAAC,EAAEJ,CAAC,EAAEC,EAAE,OAAOG,CAAC,EAAEJ,EAAE,OAAOG,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,oBAAoB,CAAC,CAAC,SAAS,CAAC,KAAK,EAAE,QAAQ,EAAE,KAAK,eAAe,MAAMuxB,GAAG,KAAK,cAAc,IAAI3yB,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,YAAYA,EAAE,CAAC,KAAK,SAASA,CAAC,CAAC,MAAM,YAAY,CAAC,MAAM,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAO,KAAK,cAAc,IAAIA,IAAI,CAAC,KAAKA,EAAE,aAAa,OAAOA,EAAE,QAAQ,EAAE,CAAC,CAAC,CAAC,MAAM,WAAWA,EAAE,CAACA,EAAE,MAAM,KAAK,kBAAkBA,CAAC,EAAE,IAAIZ,EAAE,GAAG,KAAK,cAAcY,EAAE,IAAI,IAAI,CAAC,aAAa,EAAE,KAAK,SAAS,EAAE,OAAO,SAASZ,CAAC,CAAC,EAAE,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,aAAa,KAAK,aAAa,SAAS,KAAK,SAAS,YAAY,KAAK,WAAW,CAAC,CAAC,OAAO,WAAWY,EAAEZ,EAAE,CAAC,OAAO,IAAIY,EAAEZ,EAAE,aAAaA,EAAE,SAASA,EAAE,WAAW,CAAC,CAAC,EAAE65C,GAAG,UAAU,WAAWpiB,GAAGoiB,EAAE,EAAE,IAAIC,GAAG,cAAcP,EAAE,CAAC,YAAY34C,EAAEZ,EAAE,GAAG,EAAE,EAAEK,EAAE,KAAKwB,EAAE,GAAG,CAAC,GAAG,MAAM,EAAE,KAAK,aAAajB,EAAE,KAAK,MAAMZ,EAAE,KAAK,SAAS,EAAE,KAAK,QAAQK,EAAE,KAAK,uBAAuB,CAAC,EAAE,KAAK,mBAAmB,CAAC,EAAE,KAAK,qBAAqB,CAAC,EAAE,KAAK,SAASwB,EAAExB,GAAG,OAAO,KAAK,QAAQ0qB,EAAE,QAAQ,QAAQ,GAAGnqB,GAAG,KAAK,MAAM,IAAI,MAAM,oDAAoD,CAAC,CAAC,eAAeA,EAAE,EAAE,MAAM,QAAQA,CAAC,EAAEA,EAAE,IAAIR,GAAGA,EAAE,IAAI,EAAE,OAAO,KAAKQ,CAAC,GAAG,QAAQ,CAACR,EAAEC,IAAI,CAAC,IAAIwB,EAAEkpB,EAAE,oBAAoB3qB,GAAG0B,EAAE,GAAG,KAAK,uBAAuBzB,IAAI,OAAO,KAAK,uBAAuBA,GAAG,CAAC,aAAa,GAAGD,QAAQ,SAASkzB,EAAE,IAAI2N,GAAGp/B,CAAC,EAAE,SAASC,CAAC,CAAC,CAAC,GAAG,KAAK,mBAAmBzB,IAAI,OAAO,KAAK,mBAAmBA,GAAG,CAAC,aAAa,GAAGD,aAAa,SAASkzB,EAAE,IAAI2N,GAAGp/B,CAAC,EAAE,SAASC,CAAC,CAAC,CAAC,GAAG,KAAK,qBAAqBzB,IAAI,MAAM,KAAK,WAAW,KAAK,qBAAqBA,GAAG,CAAC,aAAa,GAAGD,OAAO,SAASkzB,EAAE,IAAI2N,GAAGp/B,CAAC,EAAE,SAASC,CAAC,CAAC,CAAC,GAAG,IAAIC,EAAE,MAAM,QAAQnB,CAAC,EAAEA,EAAEP,GAAG,OAAOO,EAAER,GAAG,GAAG2B,GAAG,KAAK,OAAO,IAAIC,EAAE,KAAK,uBAAuB3B,GAAG,SAAS4B,EAAE,KAAK,mBAAmB5B,GAAG,SAASizB,EAAE,IAAI,CAAC,IAAI5wB,EAAEi2B,EAAEM,EAAEj3B,EAAE,KAAK,KAAK,EAAEi3B,EAAE6J,GAAG/gC,CAAC,EAAE,EAAE,KAAK,KAAK,CAAC,EAAE,GAAG,KAAK,SAAS,CAAC,IAAIY,EAAE,KAAK,qBAAqBtC,GAAG,SAASuC,EAAE+1B,EAAEM,EAAEt2B,EAAE,KAAK,KAAK,EAAEs2B,EAAEl3B,EAAE,EAAE,KAAK,KAAK,CAAC,EAAEc,EAAEk2B,GAAGE,EAAEl3B,EAAE,KAAK,YAAY,EAAE6gC,GAAG2D,GAAG7jC,EAAEi2B,EAAEmK,GAAGlgC,CAAC,EAAE,KAAK,OAAO,CAAC,CAAC,CAAC,EAAEE,EAAE61B,EAAEM,EAAEh3B,EAAE,KAAK,QAAQ,EAAEY,CAAC,EAAEb,EAAE,OAAOU,CAAC,EAAEC,EAAE,OAAOC,CAAC,EAAEX,EAAE,OAAOa,CAAC,EAAE,IAAI,EAAEyjC,GAAG1kC,EAAEiB,CAAC,EAAEjB,EAAE,OAAO,CAAC,CAAC,KAAK,CAAC,IAAIc,EAAEg2B,EAAEM,EAAEj3B,EAAE,KAAK,KAAK,EAAEi3B,EAAE6J,GAAG/gC,CAAC,EAAE,EAAE,KAAK,KAAK,CAAC,EAAEa,EAAE+1B,EAAEM,EAAEh3B,EAAE,KAAK,QAAQ,EAAE82B,GAAGE,EAAEl3B,EAAE,KAAK,YAAY,EAAE6gC,GAAGjK,EAAEh2B,EAAE,KAAK,OAAO,CAAC,CAAC,CAAC,EAAEX,EAAE,OAAOW,CAAC,EAAEV,EAAE,OAAOW,CAAC,EAAE,IAAIC,EAAE0jC,GAAG1kC,EAAEe,CAAC,EAAEf,EAAE,OAAOgB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,oBAAoB,CAAC,CAAC,SAAS,CAAC,KAAK,wBAAwB,MAAM0wB,GAAG,KAAK,uBAAuB,IAAI3yB,GAAGA,EAAE,QAAQ,CAAC,EAAE,KAAK,sBAAsB,MAAM,KAAK,UAAU2yB,GAAG,KAAK,qBAAqB,IAAI3yB,GAAGA,EAAE,QAAQ,CAAC,EAAE,KAAK,oBAAoB,MAAM2yB,GAAG,KAAK,mBAAmB,IAAI3yB,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,MAAM,YAAY,CAAC,IAAIA,EAAE,CAAC,GAAG,KAAK,uBAAuB,GAAG,KAAK,kBAAkB,EAAE,OAAO,KAAK,UAAUA,EAAE,KAAK,GAAG,KAAK,oBAAoB,EAAE,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAOA,EAAE,IAAIZ,IAAI,CAAC,KAAKA,EAAE,aAAa,OAAOA,EAAE,QAAQ,EAAE,CAAC,CAAC,CAAC,MAAM,WAAWY,EAAE,CAACA,EAAE,MAAM,KAAK,kBAAkBA,CAAC,EAAE,IAAIZ,EAAE,KAAK,SAASY,EAAE,OAAO,EAAEA,EAAE,OAAO,EAAE,EAAE,GAAG,KAAK,uBAAuBA,EAAE,MAAM,EAAEZ,CAAC,EAAE,IAAIK,IAAI,CAAC,aAAaA,EAAE,KAAK,SAASA,EAAE,OAAO,SAAS,CAAC,CAAC,EAAE,EAAE,KAAK,mBAAmBO,EAAE,MAAMZ,EAAEA,EAAE,CAAC,EAAE,IAAIK,IAAI,CAAC,aAAaA,EAAE,KAAK,SAASA,EAAE,OAAO,SAAS,CAAC,CAAC,EAAE,EAAE,KAAK,WAAW,KAAK,qBAAqBO,EAAE,MAAMZ,EAAE,EAAEA,EAAE,CAAC,EAAE,IAAIK,IAAI,CAAC,aAAaA,EAAE,KAAK,SAASA,EAAE,OAAO,SAAS,CAAC,CAAC,EAAE,EAAE,CAAC,WAAW,CAAC,MAAM,CAAC,aAAa,KAAK,aAAa,MAAM,KAAK,MAAM,SAAS,KAAK,SAAS,QAAQ,KAAK,QAAQ,SAAS,KAAK,QAAQ,CAAC,CAAC,OAAO,WAAWO,EAAEZ,EAAE,CAAC,OAAO,IAAIY,EAAEZ,EAAE,aAAaA,EAAE,MAAMA,EAAE,SAASA,EAAE,QAAQA,EAAE,QAAQ,CAAC,CAAC,EAAE85C,GAAG,UAAU,UAAUriB,GAAGqiB,EAAE,EAAE,IAAIC,GAAG,KAAK,CAAC,OAAO,IAAIn5C,EAAE,CAAC,OAAO,IAAIg5C,GAAGh5C,CAAC,CAAC,CAAC,OAAO,SAASA,EAAEZ,EAAE,EAAE,GAAG,CAAC,OAAO,IAAI65C,GAAGj5C,EAAEZ,EAAE,CAAC,CAAC,CAAC,OAAO,QAAQY,EAAEZ,EAAE,GAAG,EAAE,EAAEK,EAAE,KAAKwB,EAAE,GAAG,CAAC,OAAO,IAAIi4C,GAAGl5C,EAAEZ,EAAE,EAAEK,EAAEwB,CAAC,CAAC,CAAC,OAAO,KAAKjB,EAAE,KAAKZ,EAAE,GAAG,EAAE,KAAKK,EAAE,KAAK,CAAC,OAAO,IAAIq5C,GAAG94C,EAAEZ,EAAE,EAAEK,CAAC,CAAC,CAAC,OAAO,SAASO,EAAE,KAAKZ,EAAE,IAAI,EAAE,KAAK,CAAC,OAAO,IAAIw5C,GAAG54C,EAAEZ,EAAE,CAAC,CAAC,CAAC,OAAO,OAAOY,EAAE,KAAKZ,EAAE,GAAG,EAAE,KAAKK,EAAE,KAAKwB,EAAE,EAAE,CAAC,OAAO,IAAI83C,GAAG/4C,EAAEZ,EAAE,EAAEK,EAAEwB,CAAC,CAAC,CAAC,OAAO,QAAQjB,EAAEZ,EAAE,GAAG,CAAC,OAAO,IAAIy5C,GAAG74C,EAAEZ,CAAC,CAAC,CAAC,EAAMg6C,GAAG,CAAC,IAAID,GAAG,IAAI,SAASA,GAAG,SAAS,SAASA,GAAG,SAAS,QAAQA,GAAG,QAAQ,QAAQA,GAAG,QAAQ,OAAOA,GAAG,OAAO,KAAKA,GAAG,IAAI,EAAME,IAAI,IAAI,OAAO,uBAAuB,YAAY,sBAAsB,OAAO,cAAc,YAAY,aAAan6C,GAAGA,EAAE,GAAG,EAAE,SAASo6C,IAAI,CAAC,OAAO,IAAI,QAAQp6C,GAAGm6C,GAAG,IAAIn6C,EAAE,CAAC,CAAC,CAAC,CAAC,IAAIq6C,EAAE,CAAC,EAAEj6C,GAAGi6C,EAAE,CAAC,OAAO,IAAIC,GAAG,OAAO,IAAIC,GAAG,OAAO,IAAIC,GAAG,OAAO,IAAIC,GAAG,OAAO,IAAIC,GAAG,MAAM,IAAIC,GAAG,sBAAsB,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,WAAW,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,gBAAgB,IAAIjI,GAAG,2BAA2B,IAAI/d,GAAG,2BAA2B,IAAImN,GAAG,uBAAuB,IAAI8Y,GAAG,mBAAmB,IAAIC,GAAG,qBAAqB,IAAInZ,GAAG,gBAAgB,IAAI9L,GAAG,oBAAoB,IAAIklB,GAAG,0BAA0B,IAAInf,GAAG,iBAAiB,IAAIgG,GAAG,kCAAkC,IAAIoZ,GAAG,qBAAqB,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,kBAAkB,IAAIrgB,GAAG,kBAAkB,IAAIK,GAAG,kBAAkB,IAAIK,GAAG,sBAAsB,IAAIZ,GAAG,yBAAyB,IAAIwgB,GAAG,0BAA0B,IAAItZ,GAAG,gBAAgB,IAAIuZ,GAAG,kBAAkB,IAAItgB,GAAG,kBAAkB,IAAIE,GAAG,wBAAwB,IAAIJ,GAAG,qBAAqB,IAAIygB,GAAG,+BAA+B,IAAI1f,GAAG,qBAAqB,IAAImG,GAAG,SAAS,IAAIwZ,GAAG,UAAU,IAAIC,GAAG,uBAAuB,IAAIC,GAAG,uBAAuB,IAAIC,GAAG,mBAAmB,IAAIzZ,GAAG,iBAAiB,IAAInN,GAAG,oBAAoB,IAAI6mB,GAAG,qBAAqB,IAAIC,GAAG,qBAAqB,IAAIC,GAAG,qBAAqB,IAAIlJ,GAAG,qBAAqB,IAAID,GAAG,eAAe,IAAIoJ,GAAG,iBAAiB,IAAI3Z,GAAG,YAAY,IAAI4Z,GAAG,cAAc,IAAIC,GAAG,iBAAiB,IAAIjnB,GAAG,YAAY,IAAIknB,GAAG,oBAAoB,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,aAAa,IAAIC,GAAG,gDAAgD,IAAIC,GAAG,gDAAgD,IAAIC,GAAG,kDAAkD,IAAIC,GAAG,qDAAqD,IAAIC,GAAG,gDAAgD,IAAIC,GAAG,gDAAgD,IAAIC,GAAG,yDAAyD,IAAIC,GAAG,8CAA8C,IAAIC,GAAG,uDAAuD,IAAIC,GAAG,wDAAwD,IAAIC,GAAG,6DAA6D,IAAIC,GAAG,yDAAyD,IAAIC,GAAG,uBAAuB,IAAI/a,GAAG,sBAAsB,IAAIgb,GAAG,IAAI,IAAIn3B,GAAG,uBAAuB,IAAIo3B,GAAG,mBAAmB,IAAIvnB,GAAG,iBAAiB,IAAIwnB,GAAG,aAAa,IAAIC,GAAG,WAAW,IAAIxK,GAAG,WAAW,IAAI5c,GAAG,uBAAuB,IAAIqnB,GAAG,kBAAkB,IAAI3hB,GAAG,WAAW,IAAInR,GAAG,0BAA0B,IAAI+yB,GAAG,cAAc,IAAIxnB,GAAG,oBAAoB,IAAIC,GAAG,KAAK,IAAIlQ,EAAE,CAAC,EAAE,SAASg1B,GAAGh7C,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,GAAG,OAAOA,EAAE,QAAQ,CAACO,EAAE,IAAI,CAACuX,EAAEvX,EAAE,SAASL,EAAE,IAAI,kBAAkBA,uBAAuB,gDAAgDA,IAAI,CAAC,CAAC,EAAE4X,EAAE,GAAG,GAAG,EAAE5X,EAAE,IAAI,kBAAkBA,kCAAkCA,EAAE,IAAI,EAAE,IAAII,EAAEN,EAAE,GAAGA,EAAE,QAAQ,CAACO,EAAE,IAAI,CAAC,QAAQ,EAAE,EAAE,EAAEL,EAAE,IAAI4X,EAAE,IAAI,GAAGvX,EAAE,KAAKD,EAAE,GAAG,IAAI,kBAAkBJ,wBAAwB,OAAOK,4CAA4CD,sCAAsC,IAAI,CAAC,CAAC,CAAC,CAAC,SAASi7C,GAAGv7C,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,GAAG,MAAM,EAAE,QAAQM,EAAE,EAAEA,EAAEN,EAAE,OAAOM,IAAIJ,EAAE,IAAIF,EAAEM,GAAG,GAAG,OAAOJ,CAAC,CAAC,IAAI26C,IAAI,SAAS76C,EAAE,CAACA,EAAEA,EAAE,eAAe,GAAG,iBAAiBA,EAAEA,EAAE,aAAa,GAAG,eAAeA,EAAEA,EAAE,YAAY,GAAG,cAAcA,EAAEA,EAAE,WAAW,GAAG,aAAaA,EAAEA,EAAE,WAAW,GAAG,aAAaA,EAAEA,EAAE,WAAW,GAAG,YAAY,GAAG66C,KAAKA,GAAG,CAAC,EAAE,EAAE,SAASM,GAAGn7C,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,IAAI,MAAM,GAAGJ,GAAG,MAAM,GAAG,KAAK,OAAOI,EAAE,GAAG,GAAG,KAAK,KAAKA,EAAE,OAAON,EAAEE,EAAE,QAAQI,EAAE,KAAK,EAAE,OAAOA,EAAE,EAAE,MAAM,EAAE,GAAGJ,GAAG,KAAK,OAAOI,EAAE,GAAGN,EAAEE,EAAE,SAASI,EAAE,OAAO,MAAM,IAAI,MAAM,4BAA4B,uCAAuCN,EAAEE,EAAE,4BAA4BI,EAAE,QAAQ,EAAE,QAAQC,EAAE,EAAEA,EAAEL,EAAE,OAAO,EAAEK,EAAE,CAAC,IAAI,EAAEL,EAAEK,GAAG,EAAED,EAAEA,EAAE,OAAOJ,EAAE,OAAOK,GAAG0B,EAAE3B,EAAE,GAAG,GAAG,GAAG,EAAE,GAAG2B,GAAG,GAAG,GAAGA,IAAI,EAAE,MAAM,IAAI,MAAM,4BAA4B,sCAAsC1B,EAAEP,QAAQ,eAAeO,EAAEP,QAAQiC,GAAG,OAAO3B,EAAE,GAAG,CAAC,CAAC,OAAOA,CAAC,CAAC,SAAS+7C,GAAGr8C,EAAE,CAAC,IAAI,EAAE,CAAC,eAAe66C,GAAG,eAAe,aAAaA,GAAG,aAAa,YAAYA,GAAG,YAAY,WAAWA,GAAG,WAAW,WAAWA,GAAG,WAAW,WAAWA,GAAG,UAAU,EAAE36C,EAAE,CAAC,EAAE,QAAQI,KAAKN,EAAE,GAAGM,KAAK,EAAEJ,EAAE,KAAK,EAAEI,EAAE,MAAO,OAAM,OAAOJ,CAAC,CAAC,SAASg8C,GAAGl8C,EAAE,CAAC,OAAOA,EAAE,SAAS,EAAE,EAAEA,EAAE,KAAK66C,GAAG,eAAe76C,EAAE,OAAO,EAAEA,EAAE,MAAM,CAAC,SAASy9C,GAAGz9C,EAAE,EAAE,CAAC,GAAGA,GAAG,MAAM,GAAG,KAAK,OAAO,IAAIE,EAAEF,EAAE,OAAOM,EAAE,EAAE,OAAO,GAAGJ,GAAGI,EAAE,MAAM,IAAI,MAAM,sBAAsBN,wCAAwC,4CAA4CE,6DAA6DI,IAAI,EAAE,QAAQC,EAAE,EAAEA,EAAE,KAAK,IAAIL,EAAEI,EAAE,CAAC,EAAE,EAAEC,EAAE,CAAC,IAAI,EAAEP,EAAEO,GAAG,EAAE,EAAEA,EAAE,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,IAAI,GAAG,IAAI,EAAE,MAAM,IAAI,MAAM,sBAAsBP,+CAA+C,0CAA0CO,EAAEP,EAAE,aAAa,8CAA8CO,EAAEP,EAAE,aAAa,GAAG,CAAC,CAAC,CAAC,IAAI46C,GAAG,GAAG,SAASU,GAAGt7C,EAAE,CAAC,OAAOA,GAAG46C,GAAG56C,EAAE2Z,GAAG3Z,EAAE,KAAK,MAAM,KAAK,KAAKA,CAAC,CAAC,CAAC,CAAC,CAAC,SAASg8C,GAAGh8C,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEJ,GAAG,OAAOF,GAAG,SAASA,EAAEA,EAAE,IAAIO,EAAE,GAAG,OAAOP,GAAG,SAASA,EAAEA,EAAE,IAAI,MAAM,CAACM,EAAEC,CAAC,CAAC,CAAC,SAAS47C,GAAGn8C,EAAE,EAAEE,EAAEI,EAAE,GAAG,CAAC,IAAIC,EAAE,CAAC,EAAE,GAAGD,EAAEC,EAAEA,EAAE,OAAO,EAAE,MAAM,CAAC,CAAC,EAAEA,EAAE,KAAKP,EAAE,GAAGE,CAAC,EAAEK,EAAEA,EAAE,OAAOP,EAAE,MAAM,CAAC,CAAC,MAAM,CAACO,EAAEA,EAAE,OAAOP,EAAE,EAAE,EAAE,IAAI,EAAE,EAAE,OAAO,QAAQ,EAAE,EAAE,EAAE,EAAE,EAAE,EAAEO,EAAEA,EAAE,OAAO,CAACP,EAAE,EAAE,GAAG,EAAE,GAAG,EAAE,EAAE,CAAC,EAAEO,EAAEA,EAAE,OAAOP,EAAE,MAAM,EAAE,CAAC,CAAC,CAAC,CAAC,OAAOO,CAAC,CAAC,SAAS07C,GAAGj8C,EAAE,EAAEE,EAAE,GAAG,CAAC,IAAII,EAAE,CAAC,EAAE,GAAGJ,EAAE,CAACI,EAAE,KAAK,CAAC,EAAE,QAAQC,EAAE,EAAE,EAAEA,EAAEP,EAAE,EAAEO,EAAEA,GAAG,EAAE,GAAGD,EAAE,KAAKC,CAAC,EAAED,EAAE,KAAKC,GAAG,EAAE,EAAE,GAAGD,EAAE,KAAKC,CAAC,CAAC,KAAK,CAAC,IAAIA,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEP,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,GAAG,EAAE,IAAI,EAAE,EAAE,KAAK,CAAC,EAAEO,EAAE,KAAK,CAAC,EAAED,EAAE,KAAK,GAAGC,CAAC,EAAED,EAAE,KAAK,CAAC,EAAEA,EAAE,KAAK,GAAG,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,SAAS87C,GAAGp8C,EAAE,EAAEE,EAAEI,EAAE,GAAG,CAAC,IAAIC,EAAE,CAAC,EAAED,EAAEC,EAAE,KAAKP,EAAE,GAAGE,CAAC,EAAEK,EAAE,KAAKP,EAAE,GAAGE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEF,EAAE,OAAO,EAAE,EAAE,GAAG,EAAE,OAAOM,EAAEC,EAAE,KAAK,EAAE,EAAE,GAAGP,EAAE,EAAE,EAAEO,EAAE,KAAKP,EAAE,GAAG,EAAE,EAAE,EAAE,EAAEO,EAAE,KAAKP,EAAE,EAAE,EAAE,OAAOO,CAAC,CAAC,SAAS+7C,GAAGt8C,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAEJ,EAAE,KAAKF,EAAEM,GAAG,EAAE,EAAE,OAAOJ,CAAC,CAAC,SAASq8C,GAAGv8C,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,MAAM,EAAE,CAAC,EAAE,QAAQO,EAAE,EAAEA,EAAEL,EAAE,EAAEK,EAAED,EAAE,KAAKN,EAAEO,EAAE,GAAG,EAAEA,GAAG,GAAG,EAAEA,GAAG,EAAE,EAAE,OAAOD,CAAC,CAAC,IAAIy6C,GAAG,mBAAmBD,GAAG,mBAAuBH,GAAG,SAASL,GAAG,WAAWC,GAAG,YAAYC,GAAG,YAAYC,GAAG,aAAaC,GAAG,YAAY,SAAS2C,GAAGr9C,EAAE,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,MAAM,IAAI,MAAM,gEAAgEA,EAAE,iBAAiB,EAAE,SAAS,EAAE,IAAIE,EAAE,IAAI,aAAaF,EAAE,OAAO,CAAC,EAAE,QAAQM,EAAE,EAAEA,EAAEJ,EAAE,OAAOI,GAAG,EAAEJ,EAAEI,GAAGN,EAAEM,EAAE,GAAGJ,EAAEI,EAAE,GAAG,EAAEA,EAAE,GAAG,OAAOJ,CAAC,CAAC,SAASs9C,GAAGx9C,EAAE,CAAC,IAAI,EAAE,IAAI,aAAaA,EAAE,OAAO,CAAC,EAAEE,EAAE,IAAI,aAAaF,EAAE,OAAO,CAAC,EAAE,QAAQM,EAAE,EAAEA,EAAEN,EAAE,OAAOM,GAAG,EAAE,EAAEA,EAAE,GAAGN,EAAEM,GAAGJ,EAAEI,EAAE,GAAGN,EAAEM,EAAE,GAAG,MAAM,CAAC,KAAK,EAAE,KAAKJ,CAAC,CAAC,CAAC,SAASk7C,GAAGp7C,EAAE,CAAC,IAAI,EAAE,KAAK,KAAKA,EAAE,OAAO,CAAC,EAAEE,EAAE,IAAI,aAAa,CAAC,EAAEI,EAAE,IAAI,aAAa,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEP,EAAE,OAAOO,GAAG,EAAEL,EAAE,KAAK,MAAMK,EAAE,CAAC,GAAGP,EAAEO,GAAGD,EAAE,KAAK,MAAMC,EAAE,CAAC,GAAGP,EAAEO,EAAE,GAAG,MAAM,CAAC,KAAKL,EAAE,KAAKI,CAAC,CAAC,CAAC,SAAS+6C,GAAGr7C,EAAE,CAAC,IAAI,EAAE,KAAK,MAAMA,EAAE,OAAO,CAAC,EAAEE,EAAE,IAAI,aAAa,CAAC,EAAEI,EAAE,IAAI,aAAa,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEP,EAAE,OAAOO,GAAG,EAAEL,EAAE,KAAK,MAAMK,EAAE,CAAC,GAAGP,EAAEO,GAAGD,EAAE,KAAK,MAAMC,EAAE,CAAC,GAAGP,EAAEO,EAAE,GAAG,MAAM,CAAC,KAAKL,EAAE,KAAKI,CAAC,CAAC,CAAC,SAASu7C,GAAG77C,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,EAAE,GAAGM,EAAEN,EAAE,EAAE,EAAE,GAAG,MAAM,CAAC,KAAKE,EAAE,KAAKI,CAAC,CAAC,CAAC,SAAS26C,GAAGj7C,EAAE,EAAEE,EAAEI,EAAE,CAACN,EAAEM,EAAE,GAAG,EAAEN,EAAEM,EAAE,EAAE,GAAGJ,CAAC,CAAC,SAASw7C,GAAG17C,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,aAAaF,EAAE,CAAC,EAAEM,EAAE,IAAI,aAAaN,EAAE,CAAC,EAAE,QAAQO,EAAE,EAAEA,EAAE,KAAK,KAAKP,EAAE,CAAC,EAAEO,IAAI,CAAC,IAAI,GAAG,EAAE,EAAE,IAAI,KAAK,IAAIA,EAAEP,GAAGE,EAAEK,GAAG,KAAK,IAAI,CAAC,EAAED,EAAEC,GAAG,KAAK,IAAI,CAAC,CAAC,CAAC,MAAM,CAAC,KAAKL,EAAE,KAAKI,CAAC,CAAC,CAAC,SAASm7C,GAAGz7C,EAAE,EAAEE,EAAE,CAAC,IAAII,GAAGJ,EAAE,EAAE,IAAI,KAAK,IAAIF,EAAE,GAAGO,EAAE,KAAK,IAAID,CAAC,EAAE,EAAE,KAAK,IAAIA,CAAC,EAAE,MAAM,CAAC,KAAKC,EAAE,KAAK,CAAC,CAAC,CAAC,IAAIm9C,GAAG,KAAKC,GAAG,MAAMC,GAAG,IAAIC,GAAG,MAAM,SAASrC,GAAGx7C,EAAE,EAAE,CAACA,EAAEA,EAAE,QAAQ,MAAM,EAAE,EAAE,IAAIE,GAAGF,EAAE,OAAOA,EAAE,QAAQ29C,GAAG,EAAE,EAAE,QAAQD,GAAG,OAAO,GAAGx9C,EAAE,EAAE,MAAM,IAAI,MAAM,+CAA+C,EAAE,GAAGA,EAAE,EAAE,MAAM,IAAI,MAAM,6CAA6Cw9C,OAAO,EAAE,GAAG,CAACp9C,EAAEC,CAAC,EAAEP,EAAE,MAAM09C,EAAE,EAAE5lC,EAAExX,EAAE,QAAQu9C,EAAE,IAAI,GAAG,IAAI,2BAA2BA,4BAA4B,EAAE,IAAI,EAAEv9C,EAAE,MAAMs9C,EAAE,EAAE,EAAE,EAAE,OAAO,GAAG,IAAI,EAAE,MAAM,IAAI,MAAM,YAAY,6BAA6B,GAAG,EAAE,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,+DAA+D,EAAE,IAAI37C,EAAE,CAAC,EAAE,QAAQa,EAAE,EAAEA,EAAEvC,EAAE,OAAO,EAAEuC,EAAE,CAAC,IAAIC,EAAExC,EAAEuC,GAAG,GAAG,CAAC,EAAE,KAAKE,GAAGA,EAAE,QAAQD,CAAC,IAAI,EAAE,EAAE,MAAM,IAAI,MAAM,uCAAuCA,wCAAwC,EAAEd,EAAE,QAAQc,CAAC,IAAI,IAAId,EAAE,KAAKc,CAAC,CAAC,CAAC,QAAQD,EAAE,EAAEA,EAAExC,EAAE,OAAO,EAAEwC,EAAE,CAAC,IAAIC,EAAEzC,EAAEwC,GAAGb,EAAE,QAAQc,CAAC,IAAI,IAAIA,IAAI66C,IAAI37C,EAAE,KAAKc,CAAC,CAAC,CAAC,IAAIb,EAAE,IAAI,MAAM,EAAE,MAAM,EAAE,QAAQY,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,GAAG,IAAI,IAAI,EAAEA,GAAG,MAAM,EAAE,CAAC,EAAE,OAAO,EAAEA,GAAG,OAAO,MAAM,IAAI,MAAM,2CAA2C,EAAEA,iEAAiE,EAAEZ,EAAEY,GAAG,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAED,GAAG,OAAO,EAAEC,EAAEb,EAAEY,GAAG,KAAKb,EAAE,QAAQ,EAAEa,GAAGC,EAAE,CAAC,CAAC,CAAC,IAAIZ,EAAEF,EAAE,OAAOW,EAAErC,EAAE,OAAOsC,EAAE,CAAC,EAAE,QAAQC,EAAEF,EAAEE,EAAEX,EAAE,EAAEW,EAAED,EAAE,KAAKC,CAAC,EAAE,MAAM,CAAC,QAAQb,EAAE,WAAWY,EAAE,OAAOX,CAAC,CAAC,CAAC,SAAS65C,GAAG/7C,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,MAAMF,CAAC,EAAEE,EAAE,KAAK,EAAE,EAAE,QAAQK,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAEL,EAAE,EAAEK,IAAIA,EAAE,IAAID,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEP,EAAE,EAAEO,EAAEL,EAAEK,KAAK,IAAID,EAAE,KAAKC,CAAC,EAAE,OAAOL,EAAEA,EAAE,OAAOK,GAAGA,IAAI,EAAE,EAAE,CAAC,mBAAmBL,EAAE,WAAWI,CAAC,CAAC,CAAC,SAAS46C,GAAGl7C,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,IAAI,MAAMN,CAAC,EAAE,QAAQO,EAAE,EAAEA,EAAEL,EAAE,OAAO,EAAEK,EAAE,CAAC,IAAI,EAAEL,EAAEK,GAAG,MAAM,QAAQ,EAAE,EAAE,EAAE,EAAEA,GAAG,OAAO,EAAE,EAAED,EAAE,EAAEC,GAAG,MAAM,OAAOD,EAAE,EAAEC,GAAG,IAAI,EAAE,GAAGuX,EAAExX,EAAE,EAAEC,GAAG,MAAM,EAAE,GAAG,IAAI,sBAAsBD,EAAE,EAAEC,GAAG,eAAe,qBAAqB,KAAK,UAAU,CAAC,wBAAwB,EAAE,IAAI,CAAC,CAAC,CAAC,SAASu7C,GAAG97C,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAEM,EAAE,CAAC,EAAEC,EAAE,EAAEP,EAAE,SAAS,GAAGE,EAAE,KAAK,EAAE,EAAEK,EAAEP,EAAE,OAAO,EAAE,QAAQ,EAAE,EAAE,EAAEO,EAAE,EAAE,EAAED,EAAE,KAAK,CAAC,CAAC,EAAE,IAAI,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEJ,EAAE,OAAO,EAAE,EAAE,CAAC,IAAI+B,EAAE/B,EAAE,GAAGgC,EAAE47C,GAAG,EAAE77C,CAAC,EAAE,QAAQE,KAAKD,EAAE,EAAE,QAAQC,CAAC,IAAI,KAAK7B,EAAE,GAAG,KAAK6B,CAAC,EAAE,EAAE,KAAKA,CAAC,EAAE,CAAC,MAAM,CAAC,KAAKjC,EAAE,MAAMI,CAAC,CAAC,CAAC,SAAS88C,GAAGp9C,EAAE,CAAC,OAAOA,EAAE,MAAM,CAAC,EAAEE,IAAI,IAAIA,CAAC,CAAC,CAAC,SAAS49C,GAAG99C,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAEN,EAAE,OAAO,EAAEM,GAAGN,EAAEM,GAAG,SAAS,GAAGN,EAAEM,GAAG,QAAQ,CAAC,IAAI,IAAI,IAAI,KAAKJ,EAAE,KAAKI,CAAC,EAAE,OAAOJ,CAAC,CAAC,SAASo9C,GAAGt9C,EAAE,EAAEE,EAAE,EAAE,CAAC,IAAII,EAAE,CAAC,EAAE,GAAG,OAAO,GAAG,SAASwX,EAAE9X,EAAE,MAAME,GAAG,IAAI,EAAE,IAAI,+CAA+C,EAAEI,EAAE,IAAI,MAAM,CAAC,EAAE,KAAKN,EAAE,MAAME,GAAG,CAAC,MAAM,CAAC,IAAIK,EAAE,EAAE,OAAO,CAAC,EAAE0B,KAAKA,IAAI,KAAK,GAAG,GAAG,GAAG,CAAC,EAAE6V,EAAEvX,GAAG,EAAE,IAAI,yDAAyD,EAAE,IAAI,EAAE,EAAE,QAAQ,EAAE,EAAE,GAAG,IAAI,GAAG,CAAC,IAAI,EAAE,EAAE,OAAO,CAAC0B,EAAEC,IAAIA,EAAE,EAAED,EAAEC,EAAED,CAAC,EAAE,EAAE,GAAGjC,EAAE,MAAME,GAAG,CAAC,CAAC4X,EAAE9X,EAAE,MAAME,KAAK,EAAE,OAAO,CAAC,EAAE+B,IAAI,EAAEA,CAAC,EAAE,IAAI,6DAA6D,EAAE3B,EAAE,CAAC,CAAC,OAAOA,CAAC,CAAC,SAASk8C,GAAGx8C,EAAE,CAAC,MAAM;AAAA,uBACxsxBA,GAAG,CAAC,SAASy8C,GAAGz8C,EAAE,EAAE,CAAC,MAAM,WAAWA,qBAAqB,OAAO,CAAC,SAAS08C,GAAG18C,EAAE,EAAEE,EAAE,CAAC,MAAM,WAAWF,qBAAqB,QAAQE,GAAG,CAAC,SAAS48C,GAAG98C,EAAE,EAAE,CAAC,MAAM,iDAAiDA,SAAS,GAAG,CAAC,SAAS+8C,GAAG/8C,EAAE,EAAE,CAAC,MAAM,QAAQA,+BAA+B,GAAG,CAAC,SAAS28C,IAAI,CAAC,MAAM,+GAA+G,CAAC,SAASE,GAAG78C,EAAE,EAAE,CAAC,IAAIE,EAAEkY,GAAGpY,CAAC,EAAEM,EAAE8X,GAAG,CAAC,EAAE,MAAM,2CAA2ClY;AAAA,iEAC/cI,iBAAiBN,kBAAkB,GAAG,CAAC,SAAS48C,GAAG58C,EAAE,EAAE,CAAC,IAAIE,EAAEkY,GAAGpY,CAAC,EAAEM,EAAE8X,GAAG,CAAC,EAAE,MAAM,qCAAqClY,+CAA+CI,iBAAiBN,iBAAiB,GAAG,CAAC,SAASi9C,IAAI,CAAC,MAAM,0BAA0B,CAAC,SAASC,IAAI,CAAC,MAAM,gCAAgC,CAAC,SAASC,GAAGn9C,EAAE,EAAE,CAAC,MAAM,cAAcA,sBAAsB,sDAAsD,CAAC,SAASg9C,GAAGh9C,EAAE,EAAEE,EAAE,CAAC,MAAM,gBAAgBF,SAAS,sBAAsBE,IAAI,CAAC,IAAIq9C,GAAG,CAAC,EAAEn9C,GAAGm9C,GAAG,CAAC,yBAAyB,IAAIQ,GAAG,gBAAgB,IAAIC,GAAG,8BAA8B,IAAIC,EAAE,CAAC,EAAE,SAASA,GAAGj+C,EAAE,EAAE,CAAC,IAAIE,EAAE,GAAGI,EAAE,IAAIN,GAAG46C,IAAIt6C,EAAEN,EAAEE,EAAE,IAAII,EAAEqZ,GAAG3Z,EAAE,KAAK,MAAM,KAAK,KAAKA,CAAC,CAAC,CAAC,EAAE,CAACE,GAAGI,EAAE,GAAGA,IAAIN,EAAEE,EAAE,GAAGI,EAAEqZ,GAAG3Z,EAAEM,EAAE,CAAC,EAAE,OAAOA,CAAC,CAAC,SAAS09C,GAAGh+C,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,CAAC,EAAEC,EAAEP,EAAE,OAAO,QAAQ,EAAE,EAAE,EAAEO,EAAE,IAAI,IAAI,EAAED,EAAE,KAAKN,EAAE,EAAE,EAAEM,EAAE,KAAKJ,CAAC,EAAE,OAAOI,CAAC,CAAC,SAASy9C,GAAG/9C,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAE,EAAE,MAAM,OAAO,EAAEP,EAAE,MAAM,OAAO,GAAGM,IAAI,IAAIA,EAAE,CAACC,GAAGD,EAAEC,GAAG,MAAM,IAAI,MAAM,sCAAsCA,MAAMA,eAAeD,GAAG,EAAE,GAAGA,EAAE,IAAIA,GAAGC,GAAGD,EAAE,EAAE,MAAM,IAAI,MAAM,cAAcA;AAAA,MACvkC,KAAK,EAAE,GAAGJ,EAAEI,EAAE,MAAM,IAAI,MAAM,cAAcA,0CAA0CJ,KAAK,EAAE,QAAQ2C,EAAE,EAAEA,EAAEvC,EAAE,EAAEuC,EAAE,GAAG7C,EAAE,MAAM6C,KAAK,EAAE,MAAMA,GAAG,MAAM,IAAI,MAAM,WAAWA,OAAO7C,EAAE,MAAM6C,uCAAuCA,OAAO,EAAE,MAAMA,KAAK,EAAE,IAAI,EAAE7C,EAAE,MAAME,GAAG+B,EAAE,CAAC,EAAEC,EAAE,EAAEC,EAAE,EAAES,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAEvC,EAAE,EAAEuC,EAAEZ,EAAE,KAAKjC,EAAE,MAAM6C,EAAE,EAAEX,GAAGlC,EAAE,MAAM6C,GAAG,QAAQA,EAAEvC,EAAEuC,EAAE3C,EAAE2C,IAAIZ,EAAE,KAAKjC,EAAE,MAAM6C,EAAE,EAAEV,GAAGnC,EAAE,MAAM6C,GAAG,QAAQA,EAAEvC,EAAEuC,EAAEtC,EAAEsC,IAAIZ,EAAE,KAAK,EAAE,MAAMY,EAAE,EAAE,QAAQA,EAAE3C,EAAE,EAAE2C,EAAE,EAAEA,IAAIZ,EAAE,KAAKjC,EAAE,MAAM6C,EAAE,EAAED,GAAG5C,EAAE,MAAM6C,GAAG,MAAM,CAAC,UAAUX,EAAE,UAAUU,EAAE,UAAUT,EAAE,QAAQ,EAAE,YAAYF,CAAC,CAAC,CAAC,SAAS25C,GAAG57C,EAAE,CAAC,GAAG,CAAC,OAAOA,EAAE,IAAI,GAAG+mB,GAAG,CAAC,CAAC,CAAC,OAAO,EAAN,CAAS,MAAM,IAAI,MAAM,4DAA4D,GAAG,CAAC,CAAC,CAAC,SAAS40B,GAAG37C,EAAE,CAAC,OAAOA,EAAE,IAAI,GAAGgnB,GAAG,CAAC,CAAC,CAAC,CAAC,IAAIk3B,GAAG,CAAC,EAAE99C,GAAG89C,GAAG,CAAC,wBAAwB,IAAIpJ,GAAG,wBAAwB,IAAIE,GAAG,wBAAwB,IAAIC,GAAG,UAAU,IAAIhE,EAAE,CAAC,EAAE,IAAIkN,GAAG,CAAC,WAAWjjC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAClb,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIi5B,EAAEn5B,EAAE2vC,GAAGnf,GAAEtwB,EAAE,SAAS,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,EAAMk+C,GAAG,CAAC,WAAWjjC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACnb,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAII,EAAE0iC,GAAGxS,GAAEtwB,EAAE,SAAS,CAAC,EAAEK,EAAEuiC,GAAG2D,GAAG7D,GAAG,CAAC,EAAEtiC,CAAC,CAAC,EAAE,OAAOk0B,GAAGyE,GAAGj5B,EAAEO,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM89C,GAAG,CAAC,WAAWjjC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACpb,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAII,EAAEwiC,GAAG2D,GAAGzD,GAAGxS,GAAEtwB,EAAE,SAAS,CAAC,EAAE,CAAC,CAAC,EAAE,OAAO+4B,GAAGj5B,EAAEM,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMg+C,GAAG,CAAC,WAAWjjC,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAACrb,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEI,CAAC,EAAE,EAAEC,EAAEw0B,GAAG70B,EAAE,MAAMI,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI2B,EAAEjC,EAAEkC,EAAE+yB,GAAG/0B,EAAE,MAAMK,CAAC,EAAE,OAAO2B,EAAE,OAAO,IAAID,EAAEihC,GAAGjhC,EAAEC,CAAC,GAAG+5B,EAAEh6B,EAAE/B,EAAE,KAAK,CAAC,EAAE,EAAE,IAAI,CAAC,IAAI+B,EAAEjC,EAAEkC,EAAE+yB,GAAG30B,EAAE,MAAMC,CAAC,EAAE,OAAO2B,EAAE,OAAO,IAAID,EAAEihC,GAAGjhC,EAAEC,CAAC,GAAG+5B,EAAEh6B,EAAE3B,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAMi+C,GAAG,CAAC,WAAWjjC,GAAG,cAAc,GAAG,SAAS,CAACtb,EAAE,IAAI,CAAC,IAAIE,EAAE,CAAC,EAAE,OAAO,EAAE,QAAQ,CAACI,EAAEC,IAAI,CAACL,EAAEK,GAAG,IAAIP,EAAE,MAAM,CAAC,CAAC,EAAEE,CAAC,CAAC,EAAMs+C,GAAG,CAAC,WAAW/iC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACzb,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIihC,GAAGjhC,CAAC,CAAC,CAAC,CAAC,EAAMu+C,GAAG,CAAC,WAAW/iC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC1b,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIihC,GAAGjhC,CAAC,CAAC,CAAC,CAAC,EAAMw+C,GAAG,CAAC,WAAW/iC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC3b,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI+4B,GAAGj5B,EAAE8iC,GAAG2D,GAAG7D,GAAG,CAAC,EAAEI,GAAGxS,GAAEtwB,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMy+C,GAAG,CAAC,WAAW/iC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC5b,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAII,EAAEwiC,GAAGjK,EAAE+J,GAAG,CAAC,EAAEI,GAAGxS,GAAEtwB,EAAE,SAAS,CAAC,CAAC,CAAC,EAAE,OAAO+4B,GAAGj5B,EAAEM,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMs+C,GAAG,CAAC,WAAW7iC,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAAC/b,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEI,CAAC,EAAE,EAAEC,EAAEw0B,GAAG70B,EAAE,MAAMI,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI2B,EAAE42B,EAAEmK,GAAG9iC,CAAC,EAAE8iC,GAAG1iC,CAAC,CAAC,EAAE4B,EAAEi3B,EAAEn5B,EAAEi5B,GAAG34B,EAAE2B,CAAC,CAAC,EAAEE,EAAE8yB,GAAG/0B,EAAE,MAAMK,CAAC,EAAE,OAAO4B,EAAE,OAAO,IAAID,EAAEghC,GAAGhhC,EAAEC,CAAC,GAAG85B,EAAE/5B,EAAEhC,EAAE,KAAK,CAAC,EAAE,EAAE,IAAI,CAAC,IAAI+B,EAAE42B,EAAEmK,GAAG9iC,CAAC,EAAE8iC,GAAG1iC,CAAC,CAAC,EAAE4B,EAAEsyB,GAAG2E,EAAEn5B,EAAEi5B,GAAG/4B,EAAE+B,CAAC,CAAC,CAAC,EAAEE,EAAE8yB,GAAG30B,EAAE,MAAMC,CAAC,EAAE,OAAO4B,EAAE,OAAO,IAAID,EAAEghC,GAAGhhC,EAAEC,CAAC,GAAG85B,EAAE/5B,EAAE5B,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAMu+C,GAAG,CAAC,WAAWhjC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC7b,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI+4B,GAAGj5B,EAAE64B,EAAEmK,GAAGxS,GAAEtwB,EAAE,SAAS,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM4+C,GAAG,CAAC,WAAWhjC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC9b,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI+4B,GAAGj5B,EAAEymC,GAAG7D,GAAG,CAAC,EAAEI,GAAGxS,GAAEtwB,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAAS6+C,GAAG/+C,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEwrB,EAAE/rB,EAAE,KAAK,eAAe,EAAEiC,EAAE8pB,EAAE,EAAE,QAAQ,eAAe,EAAE7pB,EAAE,EAAEC,EAAEF,EAAEW,EAAE,GAAGX,EAAE,OAAO,IAAIW,EAAE,GAAGV,EAAE+5B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,EAAE95B,EAAE85B,EAAEh6B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG6V,EAAE5V,EAAE,OAAO,EAAE,IAAI,0DAA0DA,EAAE,OAAO,EAAE4V,EAAE3V,EAAE,OAAO,EAAE,IAAI,6DAA6DA,EAAE,OAAO,EAAE45B,GAAG,gBAAgBx7B,EAAE,CAAC,EAAE,IAAIsC,EAAE,CAAC,GAAGX,EAAE,MAAMC,CAAC,EAAEW,EAAE,CAAC,WAAW5C,EAAE,QAAQI,EAAE,IAAIC,EAAE,gBAAgB,CAAC,EAAEwC,EAAEkoB,EAAE,UAAU9O,GAAGtZ,EAAEC,CAAC,EAAE,OAAOF,EAAEq5B,EAAEl5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIi8C,GAAG9yB,EAAE,CAAC,eAAe6yB,EAAE,CAAC,EAAME,GAAG,CAAC,WAAW/iC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAClc,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,CAAC,EAAE,EAAE,CAAC,WAAWC,EAAE,QAAQ,EAAE,IAAI,EAAE,gBAAgB0B,CAAC,EAAE/B,EAAE,MAAM,CAAC,EAAE,IAAI8+C,GAAGh/C,EAAEM,EAAEC,EAAE,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,EAAE,SAASi9C,GAAGl/C,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAEwrB,EAAE/rB,EAAE,KAAK,aAAa,EAAE,EAAE+rB,EAAE,EAAE,QAAQ,aAAa,EAAEjU,EAAE,EAAE,OAAO,EAAE,KAAK,IAAI,kBAAkB,EAAE,oCAAoC,EAAE,OAAO,EAAE,IAAI7V,EAAE,EAAEC,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGF,EAAEg6B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,EAAE/5B,EAAE+5B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAGnkB,EAAE5V,EAAE,OAAO,EAAE,IAAI,wDAAwDA,EAAE,OAAO,EAAE4V,EAAE7V,EAAE,OAAO,EAAE,IAAI,2DAA2DA,EAAE,OAAO,EAAE,IAAIW,EAAE,CAAC,GAAGV,EAAE,MAAMD,CAAC,EAAEY,EAAE,CAAC,WAAW3C,EAAE,QAAQI,EAAE,IAAIC,CAAC,EAAEuC,EAAEmoB,EAAE,UAAUhP,GAAGrZ,EAAEC,CAAC,EAAE,OAAOV,EAAE85B,EAAEn5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIq8C,GAAGjzB,EAAE,CAAC,aAAagzB,EAAE,CAAC,EAAME,GAAG,CAAC,WAAWpjC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAChc,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,CAAC,EAAE,EAAE,CAAC,WAAWC,EAAE,QAAQ,EAAE,IAAI,CAAC,EAAEL,EAAE,MAAM,CAAC,EAAE,IAAIi/C,GAAGn/C,EAAEM,EAAEC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,EAAM8+C,GAAG,CAAC,WAAWjjC,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAACpc,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,EAAEC,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,WAAW,CAAC,EAAEL,EAAE,MAAM,CAAC,GAAG,CAAC,EAAE,CAAC,EAAE,IAAI2yB,GAAG7yB,EAAEO,EAAE,GAAG,EAAE,EAAE,EAAE,IAAIsyB,GAAGvyB,EAAEN,EAAE,GAAG,EAAE,CAAC,EAAE,CAAC,GAAG,EAAE,CAAC,EAAE,IAAI6yB,GAAG7yB,EAAEO,EAAE,GAAG,EAAE,EAAE,EAAE,IAAIsyB,GAAG7yB,EAAEM,EAAE,GAAG,EAAE,CAAC,EAAE,GAAG,CAAC,EAAE,CAAC,EAAE,IAAIuyB,GAAGtyB,EAAEP,EAAE,GAAG,EAAE,EAAE,EAAE,IAAI6yB,GAAGvyB,EAAEN,EAAE,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,IAAI6yB,GAAGtyB,EAAEP,EAAE,GAAG,EAAE,EAAE,EAAE,IAAI6yB,GAAG7yB,EAAEM,EAAE,GAAG,EAAE,CAAC,CAAC,CAAC,EAAMg/C,GAAG,CAAC,WAAWjjC,GAAG,SAAS,CAACrc,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,WAAWI,EAAE,MAAMC,CAAC,EAAEL,EAAE,MAAM,CAAC,EAAE,IAAIkqC,GAAGpqC,EAAEM,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAMg/C,GAAG,CAAC,WAAWhjC,GAAG,SAAS,CAACvc,EAAE,EAAEE,IAAI,CAAC,IAAII,EAAEJ,EAAEK,EAAED,EAAE,WAAW,EAAEA,EAAE,MAAM,EAAE,MAAM,KAAK,CAAC,EAAE,QAAQ4B,EAAE3B,EAAE,OAAO,EAAE2B,GAAG,EAAEA,IAAI,GAAG3B,EAAE2B,KAAK,EAAEA,GAAG,EAAEA,GAAG,UAAU3B,EAAE2B,KAAK,EAAE,MAAM,IAAI,MAAM,mBAAmB3B,8BAA8B,KAAK,EAAE,IAAI0B,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,EAAEA,GAAG,GAAGD,EAAE,KAAKC,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIghC,GAAGljC,EAAEiC,EAAE,EAAE,CAAC,CAAC,CAAC,EAAMu9C,GAAG,CAAC,WAAW/iC,GAAG,SAASzc,IAAI,CAAC,EAAE,IAAIA,EAAE,MAAM,CAAC,EAAE,EAAMy/C,GAAG,CAAC,WAAW/iC,GAAG,SAAS1c,IAAI,CAAC,EAAE,IAAImhC,GAAGnhC,CAAC,CAAC,EAAE,EAAM0/C,GAAG,CAAC,WAAW/iC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC3c,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,CAAC,EAAE,EAAE,CAAC,aAAaC,EAAE,aAAa,CAAC,EAAEL,EAAE,MAAM,CAAC,EAAE,IAAI+gC,GAAG8F,GAAGtC,GAAGnkC,EAAEC,CAAC,EAAE8kC,GAAG/kC,EAAE,CAAC,CAAC,EAAEN,EAAEmhC,GAAGnhC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM2/C,GAAG,CAAC,WAAW9iC,GAAG,aAAa,CAAC,GAAG,EAAE,SAASshC,GAAG,QAAQ,EAAMyB,GAAG,CAAC,WAAW9iC,GAAG,cAAc,GAAG,SAAS,CAAC9c,EAAE,EAAEE,IAAI,CAAC,IAAII,EAAE,EAAE,IAAI4B,GAAGA,EAAE,KAAK,EAAE,CAAC,KAAK3B,CAAC,EAAEL,EAAE,EAAE2Y,GAAGtY,EAAE,EAAE,GAAG,KAAK,EAAE,GAAG,EAAED,EAAE,IAAI4B,GAAGA,EAAE,EAAE,EAAE,OAAO+sC,GAAGjvC,EAAE,EAAE,CAAC,EAAE,IAAIkC,GAAG,IAAIA,CAAC,CAAC,CAAC,EAAM29C,GAAG,CAAC,WAAW9iC,GAAG,aAAa,CAAC,IAAI,QAAQ,EAAE,SAAS,CAAC/c,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,EAAEC,CAAC,EAAE,EAAE,CAAC,UAAU,EAAE,QAAQ,EAAE,IAAI0B,EAAE,WAAWC,CAAC,EAAEhC,EAAE,OAAO4X,EAAE+jB,GAAG,CAAC,EAAE,IAAI,iHAAiH,IAAI,EAAE,CAAC,EAAE,IAAIsD,GAAG7+B,EAAE,MAAMN,EAAEO,EAAE,EAAE0B,EAAEC,CAAC,EAAE,OAAO,IAAIywC,GAAGryC,EAAEN,EAAEO,EAAE,MAAM,EAAE0B,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAM49C,GAAG,CAAC,WAAW7iC,GAAG,aAAa,CAAC,KAAK,QAAQ,EAAE,SAAS,CAACjd,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,EAAEC,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI,EAAE,WAAW0B,EAAE,gBAAgBC,CAAC,EAAEhC,EAAE,MAAM,CAAC,GAAG,IAAI6+B,GAAG/+B,EAAEO,EAAE,EAAE,EAAE0B,EAAE,EAAEC,CAAC,EAAE,OAAO,IAAIywC,GAAG3yC,EAAEM,EAAEC,EAAE,MAAM,EAAE,EAAE0B,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAE,SAAS69C,GAAG//C,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAEP,EAAEA,EAAE,OAAO,IAAI,EAAEi8B,EAAEj8B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,IAAI,EAAE,EAAE,EAAE,OAAO,IAAI,EAAEi8B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAGnkB,EAAE,EAAE,OAAO,EAAE,IAAI,iEAAiE,EAAE,QAAQ,EAAEA,EAAE,EAAE,OAAO,EAAE,IAAI,8DAA8D,EAAE,QAAQ,EAAEA,EAAE5X,EAAE,SAAS,EAAE,IAAI,mEAAmEA,IAAI,EAAE4X,EAAE,EAAE,MAAM,KAAK5X,EAAE,GAAG,IAAI,4CAA4C,EAAE,MAAM,yCAAyCA,EAAE,KAAK,EAAE4X,EAAE,EAAE,MAAM,KAAK5X,EAAE,GAAG,IAAI,0CAA0C,EAAE,MAAM,2CAA2CA,EAAE,MAAM,EAAE,IAAI+B,EAAE,CAAC,EAAE,EAAE,GAAG,CAAC,EAAEC,EAAE,CAAC,QAAQ5B,EAAE,IAAIC,EAAE,YAAYL,CAAC,EAAE,OAAO+qB,EAAE,UAAU9N,GAAGlb,EAAEC,CAAC,CAAC,CAAC,IAAI89C,GAAG9zB,EAAE,CAAC,sBAAsB6zB,EAAE,CAAC,EAAME,GAAG,CAAC,WAAW/iC,GAAG,aAAa,CAAC,IAAI,QAAQ,EAAE,SAAS,CAACld,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,UAAUI,EAAE,QAAQC,EAAE,IAAI,CAAC,EAAEL,EAAE4X,EAAE+jB,GAAGv7B,CAAC,EAAE,IAAI,iHAAiHA,IAAI,EAAE,GAAG,CAAC,EAAE2B,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIw9B,GAAG,EAAE,MAAMz/B,EAAEiC,EAAE1B,EAAE,CAAC,EAAE,OAAO,IAAIy/C,GAAG,EAAEhgD,EAAEiC,EAAE,MAAM1B,EAAE,CAAC,CAAC,CAAC,CAAC,EAAM2/C,GAAG,CAAC,WAAW7iC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACrd,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIi5B,EAAE3E,GAAGqZ,GAAGrd,GAAEtwB,EAAE,SAAS,CAAC,CAAC,EAAEF,CAAC,CAAC,CAAC,CAAC,EAAMmgD,GAAG,CAAC,WAAW7iC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACtd,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIi5B,EAAE4U,GAAGvd,GAAEtwB,EAAE,SAAS,CAAC,EAAEF,CAAC,CAAC,CAAC,CAAC,EAAMogD,GAAG,CAAC,WAAW5iC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACxd,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,CAAC,EAAE,EAAE,CAAC,KAAKC,EAAE,UAAU,EAAE,QAAQ,CAAC,EAAEL,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI+B,EAAEkgC,GAAG,CAAC5hC,CAAC,EAAED,EAAE,IAAI,EAAE4B,EAAEi+B,GAAGngC,EAAEO,EAAE,EAAE,CAAC,CAAC,EAAE,OAAO0B,GAAG,OAAOC,EAAE0yB,GAAG1yB,EAAED,CAAC,GAAGC,CAAC,CAAC,CAAC,CAAC,EAAMm+C,GAAG,CAAC,WAAWziC,GAAG,aAAa,CAAC,IAAI,QAAQ,EAAE,SAAS,CAAC5d,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,UAAUI,EAAE,QAAQC,EAAE,IAAI,EAAE,gBAAgB,CAAC,EAAEL,EAAE+B,EAAE3B,GAAG,KAAK,CAAC,EAAE,CAAC,EAAEA,EAAEwX,EAAE+jB,GAAG55B,CAAC,EAAE,IAAI,mHAAmHA,IAAI,EAAE,GAAG,CAACC,EAAEC,CAAC,EAAE,EAAE,OAAO2V,EAAE5V,EAAE,OAAO,EAAE,IAAI,kFAAkFA,EAAE,OAAO,EAAE4V,EAAE3V,EAAE,OAAO,EAAE,IAAI,mFAAmFA,EAAE,OAAO,EAAE2V,EAAE5V,EAAE,MAAM,KAAKC,EAAE,MAAM,GAAG,IAAI,mEAAmED,EAAE,MAAM,qDAAqDC,EAAE,MAAM,KAAK,EAAE2V,EAAEgkB,GAAGv7B,EAAE0B,CAAC,EAAE,IAAI,6FAA6F1B,oBAAoB0B,KAAK,EAAE85B,GAAG,kBAAkB,EAAE,CAAC,EAAE,CAAC,EAAE,IAAIqX,GAAGlxC,EAAE,MAAMlC,EAAEmC,EAAE5B,EAAE,EAAE0B,EAAE,CAAC,EAAE,OAAO,IAAIixC,GAAGhxC,EAAElC,EAAEmC,EAAE,MAAM5B,EAAE,EAAE0B,EAAE,CAAC,CAAC,CAAC,CAAC,EAAMq+C,GAAG,CAAC,WAAWtiC,GAAG,aAAa,CAAC,IAAI,QAAQ,EAAE,SAAS,CAAChe,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,EAAEC,CAAC,EAAE,EAAE,EAAE,CAAC,EAAED,EAAE,OAAOC,EAAE,GAAGP,CAAC,EAAE,EAAE,CAAC,EAAEM,EAAE,OAAOC,EAAE,GAAGP,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIirB,EAAE,UAAUhN,GAAG,EAAE/d,CAAC,EAAE,OAAO,IAAI+qB,EAAE,UAAU/M,GAAG,EAAEhe,CAAC,CAAC,CAAC,CAAC,EAAMqgD,GAAG,CAAC,WAAWliC,GAAG,cAAc,CAAC,EAAE,EAAE,SAAS,CAACre,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAEI,EAAE,CAAC,GAAGN,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC,EAAE,IAAI+qB,EAAE,UAAU3M,GAAGhe,CAAC,CAAC,CAAC,CAAC,EAAMkgD,GAAG,CAAC,WAAWjiC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACve,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAEI,EAAE64B,EAAEsK,GAAGjP,GAAGwO,GAAG9iC,CAAC,CAAC,CAAC,EAAE,EAAE,KAAK,KAAK,KAAK,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIi5B,EAAEn5B,EAAEM,CAAC,CAAC,CAAC,CAAC,EAAMmgD,GAAG,CAAC,WAAWhiC,GAAG,cAAc,CAAC,EAAE,EAAE,SAAS,CAACze,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIi5B,EAAEn5B,EAAEE,CAAC,CAAC,CAAC,CAAC,EAAMwgD,GAAG,CAAC,WAAWhiC,GAAG,aAAa,CAAC,OAAO,EAAE,SAAS,CAAC1e,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,MAAM,IAAI+7B,EAAEj8B,EAAEE,EAAE,KAAK,CAAC,CAAC,CAAC,EAAMygD,GAAG,CAAC,WAAWhiC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC3e,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIi5B,EAAEn5B,EAAEyjC,GAAGvjC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM0gD,GAAG,CAAC,WAAW7hC,GAAG,SAAS/e,IAAI,CAAC,EAAE,IAAImhC,GAAGnhC,CAAC,CAAC,EAAE,EAAM6gD,GAAG,CAAC,WAAW7hC,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAAChf,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEI,CAAC,EAAE,EAAEC,EAAEw0B,GAAG70B,EAAE,MAAMI,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI2B,EAAEg3B,GAAGj5B,EAAEwwB,GAAElwB,EAAE,SAAS,CAAC,EAAE4B,EAAE+yB,GAAG/0B,EAAE,MAAMK,CAAC,EAAE,OAAO2B,EAAE,OAAO,EAAE+5B,EAAEiH,GAAGjhC,EAAEC,CAAC,EAAEhC,EAAE,KAAK,EAAE+B,CAAC,EAAE,EAAE,IAAI,CAAC,IAAIA,EAAEk3B,EAAEn5B,EAAEwwB,GAAEtwB,EAAE,SAAS,CAAC,EAAEgC,EAAE+yB,GAAG30B,EAAE,MAAMC,CAAC,EAAE2B,EAAE,OAAO,IAAID,EAAEg6B,EAAEiH,GAAGjhC,EAAEC,CAAC,EAAE5B,EAAE,KAAK,GAAG,IAAI6B,EAAE6gC,GAAG1iC,CAAC,EAAE,OAAOk0B,GAAGyE,GAAGh3B,EAAEuuB,GAAEruB,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM2+C,GAAG,CAAC,WAAW7hC,GAAG,aAAa,CAAC,IAAI,OAAO,WAAW,OAAO,EAAE,SAAS,CAACjf,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,gBAAgBI,CAAC,EAAEJ,EAAE,CAACK,EAAE,EAAE,EAAE0B,CAAC,EAAE,EAAEC,EAAED,GAAG,KAAK2gC,GAAG,CAAC,EAAE3gC,EAAEE,EAAE8yB,GAAG,EAAE,MAAM10B,EAAE,KAAK,EAAEqC,EAAE,CAAC,EAAE,GAAG,EAAE,OAAO,EAAE,CAAC,QAAQgC,EAAE,EAAEA,EAAErE,EAAE,MAAM,OAAO,EAAE,EAAEqE,EAAEhC,EAAE,KAAKrC,EAAE,MAAMqE,EAAE,EAAEhC,EAAE,KAAK,CAAC,CAAC,CAAC,IAAIC,EAAE4jC,GAAGlmC,EAAE,CAAC,EAAEuC,EAAEq2B,EAAEn5B,EAAEkC,CAAC,EAAEa,EAAEoqC,GAAGtU,EAAE,EAAE+J,GAAGtiC,CAAC,CAAC,CAAC,EAAE0C,EAAEm2B,EAAEA,EAAEA,EAAEp2B,EAAEA,CAAC,EAAEA,CAAC,EAAE6/B,GAAG,GAAG,CAAC,EAAE,MAAM,CAAC,EAAE,IAAI,EAAE,OAAO,EAAE3G,EAAE9C,EAAEA,EAAEn5B,EAAE+jC,GAAG9H,EAAEl5B,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,MAAM,EAAE,CAAC,EAAEH,CAAC,CAAC,EAAEV,CAAC,EAAE3B,EAAE,KAAK,EAAE07B,EAAE9C,EAAEA,EAAEn5B,EAAE+C,CAAC,EAAEb,CAAC,EAAE3B,EAAE,KAAK,EAAE,KAAK,IAAI,CAAC,IAAIqE,EAAEu0B,EAAEA,EAAEp2B,EAAE6/B,GAAG,EAAE,CAAC,EAAE9/B,CAAC,EAAE,OAAO,EAAE,OAAO,IAAI8B,EAAEs+B,GAAGt+B,EAAEzC,CAAC,GAAG85B,EAAEr3B,EAAE,EAAE,KAAK,CAAC,EAAE,SAAS,IAAI,CAAC,IAAIA,EAAEu0B,EAAEA,EAAEn2B,EAAEH,CAAC,EAAEC,CAAC,EAAE,OAAO,EAAE,OAAO,IAAI8B,EAAEs+B,GAAGt+B,EAAEzC,CAAC,GAAG85B,EAAEr3B,EAAE,EAAE,KAAK,CAAC,EAAE,MAAM,IAAI,CAAC,IAAIA,EAAEu0B,EAAEt2B,EAAEE,CAAC,EAAE8B,EAAEs0B,EAAEn5B,EAAE4E,CAAC,EAAE,OAAO,EAAE,OAAO,IAAIC,EAAEq+B,GAAGr+B,EAAE1C,CAAC,GAAG85B,EAAEp3B,EAAE,EAAE,KAAK,CAAC,EAAE,OAAO,IAAI,CAAC,IAAID,EAAE5E,EAAE,OAAO,EAAE,OAAO,IAAI4E,EAAEs+B,GAAGt+B,EAAEzC,CAAC,GAAG85B,EAAEr3B,EAAE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAMm8C,GAAG,CAAC,WAAW7hC,GAAG,aAAa,CAAC,IAAI,SAAS,EAAE,SAAS,CAAClf,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,EAAEC,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAEL,EAAE,EAAE2Y,GAAG,EAAEvY,EAAE,KAAK,EAAE,GAAG,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI4B,EAAE5B,EAAE,MAAM,EAAEC,EAAE,KAAKqC,EAAEV,EAAE,MAAM,EAAE,CAAC,EAAE,EAAEU,EAAE,OAAOE,EAAEZ,EAAE,MAAM,EAAEA,EAAE,MAAM,EAAE,MAAM,CAAC,EAAEa,EAAED,EAAE,OAAOE,EAAEg+C,GAAG,EAAE,CAAC,EAAE98C,EAAE88C,GAAG,EAAE,EAAE,EAAE,EAAEj+C,CAAC,EAAEoB,EAAE88C,GAAG,CAACr+C,EAAE,CAAC,CAAC,EAAEE,CAAC,CAAC,EAAEyE,EAAE00B,EAAEj8B,EAAEmE,CAAC,EAAE,EAAE83B,EAAE17B,EAAE,CAAC,CAAC,CAAC,EAAEoE,EAAEs8C,GAAG,CAAC,CAAC,CAAC,EAAEj+C,EAAEkB,CAAC,CAAC,EAAEU,EAAEgwB,GAAGrtB,EAAE5C,CAAC,EAAEE,EAAE+rC,GAAGhsC,EAAE,EAAEtE,EAAE,MAAM,EAAE,EAAEwE,EAAEs9B,GAAGz9B,CAAC,EAAE,OAAOE,EAAE+vB,GAAG/vB,EAAEC,CAAC,EAAED,CAAC,EAAE,QAAQ,IAAItE,CAAC,CAAC,CAAC,EAAE,SAASygD,GAAGhhD,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQI,EAAEN,EAAEM,EAAE,EAAE,EAAEA,EAAEJ,EAAE,KAAKI,CAAC,EAAE,OAAOJ,CAAC,CAAC,SAAS+gD,GAAGjhD,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,QAAQI,EAAE,EAAEA,EAAEN,EAAEE,GAAG,OAAO,EAAEI,EAAE,EAAE,KAAKN,EAAEE,GAAGI,EAAE,EAAE,OAAO,CAAC,CAAC,IAAI4gD,GAAG,CAAC,WAAW7hC,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAACrf,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEI,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI6gC,GAAGjhC,CAAC,EAAE,EAAE,IAAIihC,GAAG7gC,CAAC,CAAC,CAAC,CAAC,EAAM6gD,GAAG,CAAC,WAAW7hC,GAAG,SAAStf,IAAI,CAAC,EAAE,IAAIwwB,GAAExwB,EAAE,SAAS,CAAC,EAAE,EAAMohD,GAAG,CAAC,WAAW3hC,GAAG,SAASzf,IAAI,CAAC,EAAE,IAAImhC,GAAGnhC,CAAC,CAAC,EAAE,EAAMqhD,GAAG,CAAC,WAAW3hC,GAAG,SAAS1f,IAAI,CAAC,EAAE,IAAImhC,GAAGnhC,CAAC,CAAC,EAAE,EAAMshD,GAAG,CAAC,WAAW3hC,GAAG,SAAS3f,IAAI,CAAC,EAAE,IAAImhC,GAAGnhC,CAAC,CAAC,EAAE,EAAMuhD,GAAG,CAAC,WAAW3hC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC5f,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,CAAC,EAAE,EAAE,CAAC,MAAMC,CAAC,EAAEL,EAAE,EAAEqkC,GAAGjkC,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,IAAI2gC,GAAG,EAAEjhC,EAAEm5B,EAAEn5B,EAAEO,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMihD,GAAG,CAAC,WAAWvhC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACjgB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI+4B,GAAGj5B,EAAE64B,EAAE34B,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMuhD,GAAG,CAAC,WAAWzhC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAChgB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI+4B,GAAGj5B,EAAEwwB,GAAEtwB,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,EAAMwhD,GAAG,CAAC,WAAWphC,GAAG,aAAa,CAAC,EAAE,cAAc,CAAC,EAAE,EAAE,SAAS,CAACtgB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,CAAC,EAAE,EAAE,CAAC,KAAKC,CAAC,EAAEL,EAAE,MAAM,CAAC,OAAO,IAAI,CAAC,IAAI8B,EAAEyhC,GAAGnjC,CAAC,EAAE,OAAOmmC,GAAGzmC,EAAEm5B,EAAE+J,GAAGljC,EAAEO,EAAE,EAAE,EAAEyB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAAS2/C,GAAG3hD,EAAE,EAAEE,EAAEI,EAAE,EAAEC,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,CAAC,IAAI0B,EAAE,CAAC,EAAEjC,EAAE,EAAE,EAAE,GAAGE,CAAC,EAAEgC,EAAE,CAAC,YAAY5B,EAAE,KAAKC,EAAE,MAAM,EAAE,KAAK,CAAC,EAAE,OAAO0qB,EAAE,UAAUxK,GAAGxe,EAAEC,CAAC,CAAC,CAAC,IAAI0/C,GAAG11B,EAAE,CAAC,oCAAoCy1B,EAAE,CAAC,EAAME,GAAG,CAAC,WAAWrhC,GAAG,aAAa,CAAC,GAAG,EAAE,cAAc,CAAC,EAAE,EAAE,SAAS,CAACxgB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,EAAEC,CAAC,EAAE,EAAE,CAAC,YAAY,EAAE,KAAK,EAAE,MAAM0B,EAAE,KAAKC,CAAC,EAAEhC,EAAE,MAAM,CAAC,EAAE,IAAI0hD,GAAGthD,EAAEC,EAAEP,EAAE,EAAE,EAAEiC,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAE,SAAS4/C,GAAG9hD,EAAE,EAAEE,EAAEI,EAAE,CAAC,OAAO,EAAE,KAAKJ,EAAE,OAAO,EAAE+7B,EAAE,EAAEgG,GAAG,EAAE,MAAM3hC,CAAC,CAAC,GAAGN,EAAE,KAAKE,EAAE,OAAOF,EAAEi8B,EAAEj8B,EAAEiiC,GAAGjiC,EAAE,MAAMM,CAAC,CAAC,GAAG,CAAC,EAAE,IAAI64B,EAAEn5B,EAAEwwB,GAAEuQ,GAAG7gC,EAAE,CAAC,EAAEF,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,IAAI+hD,GAAG,CAAC,WAAWrhC,GAAG,aAAa,CAAC,GAAG,EAAE,cAAc,CAAC,EAAE,EAAE,SAAS,CAAC1gB,EAAE,EAAEE,IAAI,CAAC,IAAII,EAAEJ,EAAE,CAAC,iBAAiBK,CAAC,EAAED,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,GAAG2B,EAAE4W,GAAGtY,EAAE,EAAE,KAAK,EAAE2B,EAAE4/C,GAAG9hD,EAAE,EAAE,EAAEiC,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIC,EAAE,EAAE,CAAC,CAAC,CAAC,EAAM8/C,GAAG,CAAC,WAAWrhC,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAAC3gB,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEI,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI64B,EAAEn5B,EAAEwwB,GAAEiU,GAAGvkC,EAAEI,CAAC,EAAE,SAAS,CAAC,EAAE,EAAE,IAAI64B,EAAEn5B,EAAEwwB,GAAE2U,GAAGjlC,EAAEI,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,EAAE,SAAS2hD,GAAGjiD,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE,CAAC,IAAI0B,EAAE8pB,EAAE/rB,EAAE,KAAK,eAAe,EAAEkC,EAAE6pB,EAAE,EAAE,QAAQ,eAAe,EAAE5pB,EAAE4pB,EAAE7rB,EAAE,SAAS,eAAe,EAAE0C,EAAEX,EAAEY,EAAEX,EAAEY,EAAEX,EAAEY,EAAE,GAAGb,EAAE,OAAO,IAAIa,EAAE,GAAGH,EAAEq5B,EAAEh6B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEY,EAAEo5B,EAAE/5B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEY,EAAEm5B,EAAE95B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG2V,EAAElV,EAAE,OAAO,EAAE,IAAI,0DAA0DA,EAAE,OAAO,EAAEkV,EAAEjV,EAAE,OAAO,EAAE,IAAI,6DAA6DA,EAAE,OAAO,EAAEiV,EAAEhV,EAAE,OAAO,EAAE,IAAI,8DAA8DA,EAAE,OAAO,EAAEi5B,GAAG,gBAAgB,EAAE,CAAC,EAAE,IAAI/4B,EAAE,CAAC,GAAGJ,EAAE,MAAMC,EAAE,OAAOC,CAAC,EAAEoB,EAAE,CAAC,WAAW5D,EAAE,QAAQC,EAAE,IAAI,EAAE,gBAAgB,CAAC,EAAE,EAAE0qB,EAAE,UAAUlK,GAAG/d,EAAEkB,CAAC,EAAE,OAAOnB,EAAEk5B,EAAE,EAAE,CAAC,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,EAAE,CAAC,CAAC,IAAIimB,GAAGh2B,EAAE,CAAC,eAAe+1B,EAAE,CAAC,EAAME,GAAG,CAAC,WAAWrhC,GAAG,aAAa,CAAC,GAAG,EAAE,cAAc,CAAC,EAAE,EAAE,SAAS,CAAC9gB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,EAAEC,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,CAAC,EAAEhC,EAAE,MAAM,CAAC,EAAE,IAAIgiD,GAAGliD,EAAEM,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAE,SAASkgD,GAAGpiD,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE,CAAC,IAAI0B,EAAE8pB,EAAE/rB,EAAE,KAAK,aAAa,EAAEkC,EAAE6pB,EAAE,EAAE,QAAQ,aAAa,EAAE5pB,EAAE4pB,EAAE7rB,EAAE,SAAS,aAAa,EAAE4X,EAAE5V,EAAE,OAAOD,EAAE,KAAK,IAAI,kBAAkBC,EAAE,oCAAoCD,EAAE,OAAO,EAAE6V,EAAE7V,EAAE,OAAO,EAAE,IAAI,wDAAwDA,EAAE,OAAO,EAAE6V,EAAE5V,EAAE,OAAO,EAAE,IAAI,2DAA2DA,EAAE,OAAO,EAAE65B,GAAG,cAAc,EAAE,CAAC,EAAE,IAAIn5B,EAAE,CAAC,GAAGX,EAAE,MAAMC,EAAE,OAAOC,CAAC,EAAEU,EAAE,CAAC,WAAWvC,EAAE,QAAQC,EAAE,IAAI,EAAE,gBAAgB,CAAC,EAAE,OAAO0qB,EAAE,UAAUpK,GAAGje,EAAEC,CAAC,CAAC,CAAC,IAAIw/C,GAAGn2B,EAAE,CAAC,aAAak2B,EAAE,CAAC,EAAME,GAAG,CAAC,WAAW1hC,GAAG,aAAa,CAAC,GAAG,EAAE,cAAc,CAAC,EAAE,EAAE,SAAS,CAAC5gB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,EAAEC,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,CAAC,EAAE/B,EAAE,MAAM,CAAC,EAAE,IAAImiD,GAAGriD,EAAEM,EAAEC,EAAE,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,EAAMsgD,GAAG,CAAC,WAAWthC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACjhB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,CAAC,EAAE,EAAE,CAAC,KAAKC,CAAC,EAAEL,EAAE,EAAE2Y,GAAGtY,EAAED,EAAE,KAAK,EAAE2B,EAAE+/B,GAAG1hC,EAAE,MAAM,CAAC,EAAE,GAAG4B,EAAEkW,GAAGnW,CAAC,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAIW,EAAEtC,EAAE,MAAM,MAAM,EAAE,EAAE,QAAQyC,GAAG,CAACH,EAAEG,GAAG,CAAC,CAAC,EAAE,IAAIF,EAAEo5B,EAAEj8B,EAAE4C,CAAC,EAAE,OAAOq2B,GAAGE,EAAEt2B,EAAEwlC,GAAG/nC,EAAE,MAAM,SAAS,CAAC,EAAE4B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMsgD,GAAG,CAAC,WAAWthC,GAAG,aAAa,CAAC,GAAG,EAAE,cAAc,CAAC,EAAE,EAAE,SAAS,CAAClhB,EAAE,EAAEE,IAAI,CAAC,IAAII,EAAEJ,EAAE,CAAC,KAAKK,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE2B,EAAE4W,GAAGtY,EAAE,EAAE,KAAK,EAAE2B,EAAE4/C,GAAG9hD,EAAE,EAAE,EAAEiC,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIC,EAAE,EAAE,CAAC,CAAC,CAAC,EAAMugD,GAAG,CAAC,WAAWthC,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAACnhB,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEI,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI64B,EAAEn5B,EAAEwwB,GAAE6U,GAAGnlC,EAAEI,CAAC,EAAE,SAAS,CAAC,EAAE,EAAE,IAAI64B,EAAEn5B,EAAEwwB,GAAE+T,GAAGrkC,EAAEI,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,EAAMoiD,GAAG,CAAC,WAAWthC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACphB,EAAE,EAAEE,IAAI,CAAC,IAAII,EAAE,EAAE,GAAG,CAAC,SAASC,CAAC,EAAEL,EAAE,EAAEK,EAAE,IAAI,GAAG,EAAE,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIo8B,GAAG38B,EAAE,EAAEM,EAAE,KAAK,CAAC,CAAC,CAAC,EAAMqiD,GAAG,CAAC,WAAWthC,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAACrhB,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEI,CAAC,EAAE,EAAEC,EAAEw0B,GAAG70B,EAAE,MAAMI,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI2B,EAAEgzB,GAAG/0B,EAAE,MAAMK,CAAC,EAAE,OAAO0B,EAAE,OAAO,EAAEg6B,EAAEiH,GAAGljC,EAAEiC,CAAC,EAAE/B,EAAE,KAAK,EAAEF,CAAC,EAAE,EAAE,IAAI,CAAC,IAAIiC,EAAEk3B,EAAEn5B,EAAEw0B,GAAG2P,GAAGlL,GAAG/4B,EAAEI,CAAC,CAAC,CAAC,CAAC,EAAE4B,EAAE+yB,GAAG30B,EAAE,MAAMC,CAAC,EAAE,OAAO2B,EAAE,OAAO,EAAE+5B,EAAEiH,GAAGjhC,EAAEC,CAAC,EAAE5B,EAAE,KAAK,EAAE2B,CAAC,CAAC,CAAC,CAAC,EAAM2gD,GAAG,CAAC,WAAWrhC,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAACvhB,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEI,CAAC,EAAE,EAAEC,EAAEw0B,GAAG70B,EAAE,MAAMI,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI2B,EAAEk3B,EAAEn5B,EAAEwwB,GAAElwB,EAAE,SAAS,CAAC,EAAE4B,EAAE+yB,GAAG/0B,EAAE,MAAMK,CAAC,EAAE,OAAO2B,EAAE,OAAO,EAAE+5B,EAAEiH,GAAGjhC,EAAEC,CAAC,EAAEhC,EAAE,KAAK,EAAE+B,CAAC,EAAE,EAAE,IAAI,CAAC,IAAIA,EAAEk3B,EAAEn5B,EAAEwwB,GAAEtwB,EAAE,SAAS,CAAC,EAAEgC,EAAE+yB,GAAG30B,EAAE,MAAMC,CAAC,EAAE,OAAO2B,EAAE,OAAO,EAAE+5B,EAAEiH,GAAGjhC,EAAEC,CAAC,EAAE5B,EAAE,KAAK,EAAE2B,CAAC,CAAC,CAAC,CAAC,EAAM4gD,GAAG,CAAC,WAAWrhC,GAAG,SAASxhB,IAAI,CAAC,EAAE,IAAIw0B,GAAGx0B,CAAC,CAAC,EAAE,EAAM8iD,GAAG,CAAC,WAAWhhC,GAAG,aAAa,CAAC,SAAS,EAAE,SAAS,CAAC9hB,EAAE,IAAI,CAAC,IAAIE,EAAE,EAAE,GAAG,MAAM,CAAC,QAAQ,IAAIkoC,GAAGloC,EAAE,MAAM,SAAS,CAAC,CAAC,CAAC,EAAM6iD,GAAG,CAAC,WAAWlhC,GAAG,SAAS7hB,IAAI,CAAC,EAAE,IAAImhC,GAAGnhC,CAAC,CAAC,EAAE,EAAMgjD,GAAG,CAAC,WAAWjhC,GAAG,cAAc,GAAG,SAAS,CAAC/hB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,KAAKI,CAAC,EAAEJ,EAAE,OAAO4wC,GAAG9wC,EAAEM,CAAC,EAAE,IAAIyB,GAAG,IAAIA,CAAC,CAAC,CAAC,EAAMkhD,GAAG,CAAC,WAAWjhC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAChiB,EAAE,EAAEE,IAAI,CAAC,IAAII,EAAE,EAAE,GAAG,CAAC,SAASC,CAAC,EAAEL,EAAE,EAAEK,EAAE,IAAI,GAAG,EAAE,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIo8B,GAAG38B,EAAE,EAAEM,EAAE,KAAK,CAAC,CAAC,CAAC,EAAM4iD,GAAG,CAAC,WAAWhhC,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,cAAc,CAAC,EAAE,EAAE,SAAS,CAACliB,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEI,EAAEC,CAAC,EAAE,EAAE,EAAEL,EAAE,EAAEI,EAAE2B,EAAE8yB,GAAG,EAAE,MAAM,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAInyB,EAAE4tB,GAAE,EAAE,SAAS,EAAE3tB,EAAEs2B,EAAEn5B,EAAEm5B,EAAEv2B,EAAE+/B,GAAG,EAAE8D,GAAG7jC,EAAEggC,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE9/B,EAAEmyB,GAAG,EAAE,MAAMhzB,CAAC,EAAE,OAAOa,EAAE,OAAO,IAAID,EAAEqgC,GAAGrgC,EAAEC,CAAC,GAAGm5B,EAAEp5B,EAAE,EAAE,KAAK,CAAC,EAAE,EAAE,IAAI,CAAC,IAAID,EAAE2hC,GAAG,EAAE,CAAC,EAAE1hC,EAAEo+B,GAAGr+B,EAAE8iC,GAAG,CAAC,EAAEvE,GAAG,CAAC,CAAC,EAAEr+B,EAAEq2B,EAAEn5B,EAAEm5B,EAAE54B,EAAEsC,CAAC,CAAC,EAAEE,EAAEkyB,GAAG,EAAE,MAAMhzB,CAAC,EAAE,OAAOc,EAAE,OAAO,IAAID,EAAEogC,GAAGpgC,EAAEC,CAAC,GAAGk5B,EAAEn5B,EAAE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAMqgD,GAAG,CAAC,WAAWhhC,GAAG,aAAa,CAAC,IAAI,OAAO,EAAE,SAAS,CAACniB,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEI,CAAC,EAAE,EAAEC,EAAEgkC,GAAGrkC,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,IAAI+gC,GAAG1gC,EAAEP,EAAEm5B,EAAEn5B,EAAEM,CAAC,CAAC,EAAE,MAAM,IAAI,CAAC,IAAI,EAAE2gC,GAAG1gC,EAAE4gC,GAAGnhC,CAAC,EAAEm5B,EAAEn5B,EAAEE,CAAC,CAAC,EAAE,EAAE+0B,GAAG30B,EAAE,MAAMN,EAAE,KAAK,EAAE,OAAO,EAAE,OAAO,IAAI,EAAEkjC,GAAG,EAAE,CAAC,GAAGjH,EAAE,EAAE37B,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAE,SAAS8iD,GAAGpjD,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,MAAM,MAAM,EAAEM,EAAEJ,GAAG,EAAE,IAAIK,EAAE07B,EAAE,EAAE37B,CAAC,EAAE,EAAE2/B,GAAGjgC,EAAEE,EAAE,GAAG,EAAE,EAAE,EAAE+/B,GAAGjgC,EAAEE,EAAE,GAAG,EAAE,EAAE+B,EAAEk3B,EAAE,EAAE,CAAC,EAAE,OAAOA,EAAE54B,EAAE0B,CAAC,CAAC,CAAC,SAASohD,GAAGrjD,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,MAAM,OAAOO,EAAED,EAAEJ,EAAE,OAAO,EAAEm6C,EAAE,mBAAmBn6C,EAAEI,CAAC,EAAE,EAAEN,EAAE,GAAG,OAAO,EAAE40B,GAAG50B,EAAE,CAAC,GAAG,IAAIiC,EAAE,EAAE,MAAM,MAAM,EAAE,EAAEA,EAAE,OAAO3B,EAAEJ,EAAE,OAAOA,EAAE,MAAM,EAAE,OAAO,CAAC4C,EAAEC,IAAID,EAAEC,EAAE,CAAC,EAAEd,EAAE,KAAK,CAAC,EAAE,IAAIW,EAAE,EAAE,QAAQX,CAAC,EAAE,EAAEmhD,GAAGxgD,EAAE,EAAErC,CAAC,EAAE,GAAG,EAAE,EAAE,QAAQ,EAAE,KAAK,EAAE,GAAG,KAAK,CAAC,IAAIuC,EAAEu3C,EAAE,uBAAuB,CAAC,EAAE,EAAEzlB,GAAG,EAAE9xB,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIwgD,GAAG,CAAC,WAAWlhC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACpiB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,CAAC,EAAE,EAAE,CAAC,KAAKC,CAAC,EAAEL,EAAE,EAAE,CAAC,EAAE,OAAOK,GAAG,KAAK,EAAED,EAAE,MAAM,IAAI,CAAC,EAAE2B,IAAIA,CAAC,EAAE,OAAO1B,GAAG,SAAS,EAAE,CAACA,CAAC,EAAE,EAAEA,EAAE,CAAC,EAAE,IAAI8iD,GAAG/iD,EAAEN,EAAE,CAAC,CAAC,CAAC,CAAC,EAAMujD,GAAG,CAAC,WAAWplC,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAACne,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEI,CAAC,EAAE,EAAEC,EAAEw0B,GAAG70B,EAAE,MAAMI,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI2B,EAAEg3B,GAAGj5B,EAAEwwB,GAAElwB,EAAE,SAAS,CAAC,EAAE4B,EAAE+yB,GAAG/0B,EAAE,MAAMK,CAAC,EAAE,OAAO2B,EAAE,OAAO,EAAE+5B,EAAEiH,GAAGjhC,EAAEC,CAAC,EAAEhC,EAAE,KAAK,EAAE+B,CAAC,EAAE,EAAE,IAAI,CAAC,IAAIA,EAAEk3B,EAAEn5B,EAAEwwB,GAAEtwB,EAAE,SAAS,CAAC,EAAEgC,EAAE+yB,GAAG30B,EAAE,MAAMC,CAAC,EAAE2B,EAAE,OAAO,IAAID,EAAEg6B,EAAEiH,GAAGjhC,EAAEC,CAAC,EAAE5B,EAAE,KAAK,GAAG,IAAI6B,EAAE6gC,GAAG1iC,CAAC,EAAE,OAAOk0B,GAAGyE,GAAGh3B,EAAEuuB,GAAEruB,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMqhD,GAAG,CAAC,WAAW/gC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACziB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI+4B,GAAGj5B,EAAEw0B,GAAGwO,GAAG9iC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMujD,GAAG,CAAC,WAAWzgC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAChjB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAEI,EAAE64B,EAAEkM,GAAGnlC,EAAE,CAAC,EAAEyvC,GAAGzvC,CAAC,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIi5B,EAAEn5B,EAAEwwB,GAAElwB,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,EAAMojD,GAAG,CAAC,WAAWhhC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC1iB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIi5B,EAAEn5B,EAAEwwB,GAAEmf,GAAGzvC,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,EAAMyjD,GAAG,CAAC,WAAWhhC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC3iB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI+7B,EAAEj8B,EAAEE,EAAE,KAAK,CAAC,CAAC,CAAC,EAAM0jD,GAAG,CAAC,WAAW9gC,GAAG,aAAa,CAAC,QAAQ,EAAE,SAAS,CAAC9iB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,CAAC,EAAE,EAAEC,EAAE,CAAC,GAAGP,EAAE,OAAOM,CAAC,EAAE,MAAM,CAAC,OAAO,IAAI2qB,EAAE,UAAUlI,GAAGxiB,EAAEL,CAAC,CAAC,CAAC,CAAC,EAAM2jD,GAAG,CAAC,WAAWjhC,GAAG,aAAa,CAAC,QAAQ,EAAE,SAAS,CAAC5iB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,CAAC,EAAE,EAAEC,EAAE,CAAC,GAAGP,EAAE,OAAOM,CAAC,EAAE,MAAM,CAAC,OAAO,IAAI2qB,EAAE,UAAUpI,GAAGtiB,EAAEL,CAAC,CAAC,CAAC,CAAC,EAAM4jD,GAAG,CAAC,WAAW7gC,GAAG,SAAS,CAACjjB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,KAAKI,CAAC,EAAEJ,EAAEK,EAAEsY,GAAGvY,EAAEN,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAIusC,GAAGvsC,EAAEO,CAAC,CAAC,CAAC,CAAC,EAAMwjD,GAAG,CAAC,WAAW7gC,GAAG,SAASljB,IAAI,CAAC,EAAE,IAAImhC,GAAGnhC,CAAC,CAAC,EAAE,EAAMgkD,GAAG,CAAC,WAAW7gC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACnjB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIs0B,GAAGyE,GAAGj5B,EAAEm5B,EAAEwJ,GAAGziC,EAAE,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM+jD,GAAG,CAAC,WAAW3gC,GAAG,aAAa,CAAC,WAAW,EAAE,SAAS,CAACtjB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,UAAU,IAAIswB,GAAE2Q,GAAGjhC,CAAC,EAAE,SAAS,EAAE,EAAE,IAAIi5B,EAAEn5B,EAAEwwB,GAAEtwB,EAAEF,EAAE,KAAK,CAAC,EAAE,EAAE,IAAIm5B,EAAEn5B,EAAEwwB,GAAEyW,GAAG/mC,CAAC,EAAEF,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAMkkD,GAAG,CAAC,WAAW3gC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACvjB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAII,EAAEikC,GAAGrkC,EAAE0iC,GAAG,CAAC,CAAC,EAAEriC,EAAEqiC,GAAGmY,EAAE,EAAE,EAAEnY,GAAGkY,EAAE,EAAE,EAAE3hB,EAAEn5B,EAAE,CAAC,EAAEiC,EAAEk3B,EAAEA,EAAEn5B,EAAEO,CAAC,EAAEkjC,GAAGjT,GAAEtwB,EAAE,SAAS,CAAC,CAAC,EAAE,OAAO+gC,GAAG3gC,EAAE,EAAE2B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMkiD,GAAG,CAAC,WAAWvgC,GAAG,cAAc,CAAC,EAAE,EAAE,SAAS,CAAC5jB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIi5B,EAAEn5B,EAAEm5B,EAAEj5B,EAAEumC,GAAG7D,GAAG,CAAC,EAAE1iC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMkkD,GAAG,CAAC,WAAWzgC,GAAG,SAAS3jB,IAAI,CAAC,EAAE,IAAImhC,GAAGnhC,CAAC,CAAC,EAAE,EAAMqkD,GAAG,CAAC,WAAW5gC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACzjB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIi5B,EAAE0G,GAAGrP,GAAEtwB,EAAE,SAAS,CAAC,EAAEF,CAAC,CAAC,CAAC,CAAC,EAAMskD,GAAG,CAAC,WAAW5gC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC1jB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIi5B,EAAE4G,GAAGvP,GAAEtwB,EAAE,SAAS,CAAC,EAAEF,CAAC,CAAC,CAAC,CAAC,EAAMukD,GAAG,CAAC,WAAW/gC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACxjB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,CAAC,EAAE,EAAE,CAAC,MAAMC,EAAE,KAAK,CAAC,EAAEL,EAAE,EAAEI,EAAE,MAAM,CAAC2B,EAAEC,CAAC,EAAEw0B,GAAGp2B,EAAEC,EAAE,CAAC,EAAE4B,EAAE,CAAC,EAAE,QAAQS,EAAE,EAAEA,EAAE5C,EAAE,KAAK4C,IAAIT,EAAE,KAAK,CAACF,EAAEW,GAAG,EAAEA,GAAGX,EAAEW,GAAGV,EAAEU,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,IAAI8mC,GAAG1pC,EAAEmC,CAAC,CAAC,CAAC,CAAC,EAAMqiD,GAAG,CAAC,WAAWtgC,GAAG,cAAc,CAAC,EAAE,EAAE,SAAS,CAAClkB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,CAAC,EAAE,EAAE,CAAC,IAAIC,CAAC,EAAEL,EAAE,EAAE,GAAG,EAAEi5B,EAAEn5B,EAAEM,CAAC,EAAE,MAAM,CAAC,OAAO,IAAImmC,GAAG,EAAEtN,EAAE+J,GAAG,EAAE,CAAC3iC,CAAC,EAAE,CAAC,EAAED,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMmkD,GAAG,CAAC,WAAW5gC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC7jB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIi5B,EAAEn5B,EAAEy8B,GAAGv8B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMwkD,GAAG,CAAC,WAAW1gC,GAAG,SAAS,CAAChkB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,WAAWI,EAAE,SAASC,CAAC,EAAEL,EAAE,MAAM,CAAC,EAAE,IAAI+8B,GAAGj9B,EAAEM,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAMokD,GAAG,CAAC,WAAW1gC,GAAG,SAAS,CAACjkB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,KAAKI,CAAC,EAAEJ,EAAE,MAAM,CAAC,EAAE,IAAIq8B,GAAGv8B,EAAEM,CAAC,CAAC,CAAC,CAAC,EAAMskD,GAAG,CAAC,WAAW9gC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC9jB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI+4B,GAAGj5B,EAAEm5B,EAAE2J,GAAGtS,GAAEtwB,EAAE,SAAS,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM2kD,GAAG,CAAC,WAAWpgC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACzkB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIi5B,EAAEn5B,EAAEm5B,EAAE3I,GAAEtwB,EAAE,SAAS,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM4kD,GAAG,CAAC,WAAWtgC,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAACxkB,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEI,CAAC,EAAE,EAAEC,EAAEqiC,GAAG,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIzJ,EAAEn5B,EAAEm5B,EAAE54B,EAAEkmC,GAAGvmC,EAAEI,CAAC,CAAC,CAAC,EAAE,EAAE,IAAI64B,EAAEn5B,EAAEm5B,EAAE54B,EAAEkmC,GAAGnmC,EAAEJ,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM6kD,GAAG,CAAC,WAAWr/B,GAAG,SAAS1lB,IAAI,CAAC,EAAE,IAAImhC,GAAGnhC,CAAC,CAAC,EAAE,EAAMglD,GAAG,CAAC,WAAWlgC,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAAC9kB,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEI,CAAC,EAAE,EAAEC,EAAEw0B,GAAG70B,EAAE,MAAMI,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI2B,EAAEjC,EAAEkC,EAAE+yB,GAAG/0B,EAAE,MAAMK,CAAC,EAAE,OAAO2B,EAAE,OAAO,IAAID,EAAEihC,GAAGjhC,EAAEC,CAAC,GAAG+5B,EAAEh6B,EAAE/B,EAAE,KAAK,CAAC,EAAE,EAAE,IAAI,CAAC,IAAI+B,EAAEjC,EAAEkC,EAAE+yB,GAAG30B,EAAE,MAAMC,CAAC,EAAE,OAAO2B,EAAE,OAAO,IAAID,EAAEihC,GAAGjhC,EAAEC,CAAC,GAAG+5B,EAAEzH,GAAGvyB,CAAC,EAAE3B,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAM2kD,GAAG,CAAC,WAAWlhC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC/jB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,CAAC,EAAE,EAAEC,EAAED,EAAE,MAAM,MAAM,EAAE,CAAC,KAAK,CAAC,EAAEJ,EAAE2Y,GAAG,EAAEvY,EAAE,KAAK,EAAE,QAAQ,GAAG,CAACC,EAAE,GAAG,CAAC,CAAC,EAAE,IAAI0B,EAAEg6B,EAAEj8B,EAAEO,CAAC,EAAE2B,EAAEi3B,EAAEl3B,EAAEomC,GAAG/nC,EAAE,MAAM,SAAS,CAAC,EAAE,MAAM,CAAC,EAAE,IAAI4B,CAAC,CAAC,CAAC,EAAMgjD,GAAG,CAAC,WAAWngC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC/kB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI+4B,GAAGj5B,EAAEgjC,GAAGnD,GAAG3/B,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMilD,GAAG,CAAC,WAAWngC,GAAG,cAAc,CAAC,EAAE,EAAE,SAAS,CAAChlB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIi5B,EAAEsN,GAAG7D,GAAG,CAAC,EAAEI,GAAG9iC,CAAC,CAAC,EAAEF,CAAC,CAAC,CAAC,CAAC,EAAMolD,GAAG,CAAC,WAAWngC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACjlB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,CAAC,EAAE,EAAE,CAAC,KAAKC,CAAC,EAAEL,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI8B,EAAEm/B,GAAG7gC,CAAC,EAAE,GAAGA,EAAE,OAAO,EAAE,QAAQ2B,EAAE,EAAEA,EAAE1B,EAAE,GAAG,EAAE0B,EAAED,EAAE62B,EAAE72B,EAAE26B,GAAG38B,EAAE,CAACiC,EAAE3B,EAAE,MAAM,EAAE,EAAE,CAACA,EAAE,MAAM,EAAE,CAAC,CAAC,UAAUA,EAAE,OAAO,EAAE,QAAQ2B,EAAE,EAAEA,EAAE1B,EAAE,GAAG,EAAE0B,EAAE,QAAQC,EAAE,EAAEA,EAAE3B,EAAE,GAAG,EAAE2B,EAAEF,EAAE62B,EAAE72B,EAAE26B,GAAG38B,EAAE,CAACiC,EAAE3B,EAAE,MAAM,GAAG4B,EAAE5B,EAAE,MAAM,EAAE,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,CAAC,UAAUA,EAAE,OAAO,EAAE,QAAQ2B,EAAE,EAAEA,EAAE1B,EAAE,GAAG,EAAE0B,EAAE,QAAQC,EAAE,EAAEA,EAAE3B,EAAE,GAAG,EAAE2B,EAAE,QAAQ,EAAE,EAAE,EAAE3B,EAAE,GAAG,EAAE,EAAEyB,EAAE62B,EAAE72B,EAAE26B,GAAG38B,EAAE,CAACiC,EAAE3B,EAAE,MAAM,GAAG4B,EAAE5B,EAAE,MAAM,GAAG,EAAEA,EAAE,MAAM,EAAE,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,CAAC,UAAUA,EAAE,OAAO,EAAE,QAAQ2B,EAAE,EAAEA,EAAE1B,EAAE,GAAG,EAAE0B,EAAE,QAAQC,EAAE,EAAEA,EAAE3B,EAAE,GAAG,EAAE2B,EAAE,QAAQ,EAAE,EAAE,EAAE3B,EAAE,GAAG,EAAE,EAAE,QAAQqC,EAAE,EAAEA,EAAErC,EAAE,GAAG,EAAEqC,EAAEZ,EAAE62B,EAAE72B,EAAE26B,GAAG38B,EAAE,CAACiC,EAAE3B,EAAE,MAAM,GAAG4B,EAAE5B,EAAE,MAAM,GAAG,EAAEA,EAAE,MAAM,GAAGsC,EAAEtC,EAAE,MAAM,EAAE,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,CAAC,MAAO,OAAM,IAAI,MAAM,2DAA2DA,EAAE,mBAAmB,EAAE,OAAO0B,CAAC,CAAC,CAAC,CAAC,EAAMqjD,GAAG,CAAC,WAAWjgC,GAAG,SAAS,CAACplB,EAAE,EAAEE,IAAI,CAAC,IAAII,EAAEJ,EAAE,CAAC,KAAKK,CAAC,EAAED,EAAE,EAAE8hC,GAAG7hC,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIq0B,GAAG50B,EAAE,CAAC,CAAC,CAAC,CAAC,EAAMslD,GAAG,CAAC,WAAWhgC,GAAG,SAAS,CAACtlB,EAAE,EAAEE,IAAI,CAAC,IAAII,EAAEJ,EAAE,CAAC,KAAKK,CAAC,EAAED,EAAE,MAAM,CAAC,MAAM,IAAImvC,GAAGzvC,EAAEO,CAAC,CAAC,CAAC,CAAC,EAAMglD,GAAG,CAAC,WAAWhgC,GAAG,aAAa,CAAC,YAAY,EAAE,SAAS,CAACvlB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIslD,GAAGxlD,EAAEE,CAAC,CAAC,CAAC,CAAC,EAAE,SAASslD,GAAGxlD,EAAE,EAAE,CAAC,IAAIE,EAAE+nC,GAAG,EAAE9G,GAAG,CAAC,CAAC,EAAE7gC,EAAE+jC,GAAGrkC,EAAEE,CAAC,EAAEK,EAAEkkC,GAAG,EAAE7B,GAAG,EAAE,OAAO,CAAC,EAAE,EAAEtiC,EAAE,KAAKC,EAAE,KAAK,QAAQ0B,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE1B,EAAEojC,GAAGpjC,EAAE0B,EAAE,CAAC,EAAE1B,EAAEwmC,GAAGxmC,EAAE8nC,GAAG/nC,EAAE,MAAM,MAAM,CAAC,EAAE,IAAI,EAAE6gC,GAAG7gC,CAAC,EAAE,OAAO2gC,GAAG1gC,EAAED,EAAE,CAAC,CAAC,CAAC,IAAImlD,GAAG,CAAC,WAAWhgC,GAAG,SAASzlB,IAAI,CAAC,EAAE,IAAImhC,GAAGnhC,CAAC,CAAC,EAAE,EAAM0lD,GAAG,CAACvH,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGG,GAAGG,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGE,GAAGD,GAAGI,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGiD,GAAGhD,GAAGC,GAAGC,GAAGC,GAAGC,GAAGE,GAAGD,GAAGE,GAAGC,GAAGG,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGG,GAAGE,GAAGA,GAAGC,GAAGG,GAAGG,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGA,GAAGC,GAAGC,GAAGG,GAAGE,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGA,GAAGC,GAAGA,GAAGC,GAAGE,GAAGD,GAAGE,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGE,EAAE,EAAE,QAAQzlD,KAAK0lD,GAAGj/B,GAAGzmB,CAAC,EAAE6pB,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEwP,GAAG,IAAI,CAAC,EAAExP,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE0P,GAAG,IAAI,CAAC,EAAE1P,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE4P,GAAG,IAAI,CAAC,EAAE5P,EAAE,EAAE,UAAU,IAAI,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE64B,EAAE,KAAK74B,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,IAAI,SAAS7pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE65B,GAAG,KAAK75B,EAAE,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,IAAI,SAAS7pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE+5B,GAAG,KAAK/5B,EAAE,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,OAAO,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEi6B,GAAG,KAAKj6B,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,OAAO,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEm6B,GAAG,KAAKn6B,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,SAAS,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE/R,EAAE,KAAK,OAAO,EAAE,IAAI,qCAAqC,EAAEmkB,EAAE,KAAK,CAAC,CAAC,CAAC,EAAEpS,EAAE,EAAE,UAAU,OAAO,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEwwB,GAAE,KAAKxwB,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEoS,EAAE,KAAK,CAAC,KAAK,IAAI,CAAC,CAAC,EAAEpS,EAAE,EAAE,UAAU,KAAK,SAAS7pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEi8B,EAAE,KAAK,CAACj8B,EAAE,CAAC,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,KAAK,SAAS7pB,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE+7B,EAAE,KAAK,CAACj8B,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE2pB,EAAE,EAAE,UAAU,KAAK,SAAS7pB,EAAE,EAAEE,EAAEI,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE27B,EAAE,KAAK,CAACj8B,EAAE,EAAEE,EAAEI,CAAC,CAAC,CAAC,EAAEupB,EAAE,EAAE,UAAU,KAAK,SAAS7pB,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE07B,EAAE,KAAK,CAACj8B,EAAE,EAAEE,EAAEI,EAAEC,CAAC,CAAC,CAAC,EAAEspB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEwQ,GAAG,IAAI,CAAC,EAAExQ,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE0Q,GAAG,IAAI,CAAC,EAAE1Q,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE4Q,GAAG,IAAI,CAAC,EAAE5Q,EAAE,EAAE,UAAU,MAAM,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE26B,GAAG,KAAK36B,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEgR,GAAG,IAAI,CAAC,EAAEhR,EAAE,EAAE,UAAU,QAAQ,SAAS7pB,EAAE,EAAEE,EAAEI,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE67B,GAAG,KAAKn8B,EAAE,EAAEE,EAAEI,CAAC,CAAC,EAAEupB,EAAE,EAAE,UAAU,eAAe,SAAS7pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEi9B,GAAG,KAAKj9B,EAAE,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,UAAU,SAAS7pB,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE68B,GAAG,KAAKp9B,EAAE,EAAEE,EAAEI,EAAEC,CAAC,CAAC,EAAEspB,EAAE,EAAE,UAAU,YAAY,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEg+B,GAAG,KAAKh+B,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,KAAK,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEwwB,GAAE,KAAKxwB,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEqU,GAAG,IAAI,CAAC,EAAErU,EAAE,EAAE,UAAU,YAAY,SAAS7pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEq+B,GAAG,KAAKr+B,EAAE,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,OAAO,SAAS7pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEA,aAAa4pB,KAAK5pB,EAAE,CAACA,CAAC,GAAGu8B,GAAG,CAAC,KAAK,GAAGv8B,CAAC,EAAE,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,OAAO,SAAS7pB,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE0+B,GAAG,KAAKj/B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,CAAC,EAAEspB,EAAE,EAAE,UAAU,gBAAgB,SAAS7pB,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE8+B,GAAG,KAAKr/B,EAAE,EAAEE,EAAEI,EAAEC,CAAC,CAAC,EAAEspB,EAAE,EAAE,UAAU,OAAO,SAAS7pB,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEw+B,GAAG,KAAK/+B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,CAAC,EAAEspB,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEgW,GAAG,IAAI,CAAC,EAAEhW,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEkW,GAAG,IAAI,CAAC,EAAElW,EAAE,EAAE,UAAU,QAAQ,SAAS7pB,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE+/B,GAAG,KAAKjgC,EAAE,EAAEE,CAAC,CAAC,EAAE2pB,EAAE,EAAE,UAAU,OAAO,SAAS7pB,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEigC,GAAG,KAAKngC,EAAE,EAAEE,CAAC,CAAC,EAAE2pB,EAAE,EAAE,UAAU,aAAa,SAAS7pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEugC,GAAG,KAAKvgC,EAAE,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,gBAAgB,SAAS7pB,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEkgC,GAAG,KAAKzgC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,CAAC,EAAEspB,EAAE,EAAE,UAAU,WAAW,SAAS7pB,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEsgC,GAAG,KAAK7gC,EAAE,EAAEE,EAAEI,EAAEC,CAAC,CAAC,EAAEspB,EAAE,EAAE,UAAU,SAAS,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEqhC,GAAG,KAAKrhC,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,IAAI,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEi5B,GAAG,KAAKj5B,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,IAAI,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEuhC,GAAG,KAAKvhC,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE8X,GAAG,IAAI,CAAC,EAAE9X,EAAE,EAAE,UAAU,MAAM,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE+gC,GAAG,KAAK/gC,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEgY,GAAG,IAAI,CAAC,EAAEhY,EAAE,EAAE,UAAU,cAAc,SAAS7pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEujC,GAAG,KAAKvjC,EAAE,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE4Z,GAAG,IAAI,CAAC,EAAE5Z,EAAE,EAAE,UAAU,WAAW,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE2jC,GAAG,KAAK3jC,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEga,GAAG,IAAI,CAAC,EAAEha,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE8kB,GAAG,IAAI,CAAC,EAAE9kB,EAAE,EAAE,UAAU,QAAQ,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEoS,EAAE,KAAK,CAAC,KAAK,IAAI,CAAC,CAAC,EAAEpS,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEsa,GAAG,IAAI,CAAC,EAAEta,EAAE,EAAE,UAAU,SAAS,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE+4B,GAAG,KAAK/4B,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,OAAO,SAAS7pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEqkC,GAAG,KAAKrkC,EAAE,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,aAAa,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEykC,GAAG,KAAKzkC,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,QAAQ,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEukC,GAAG,KAAKvkC,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEglB,GAAG,IAAI,CAAC,EAAEhlB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEklB,GAAG,IAAI,CAAC,EAAEllB,EAAE,EAAE,UAAU,SAAS,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE8a,GAAG,IAAI,CAAC,EAAE9a,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEgb,GAAG,IAAI,CAAC,EAAEhb,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEkb,GAAG,IAAI,CAAC,EAAElb,EAAE,EAAE,UAAU,UAAU,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEilC,GAAG,KAAKjlC,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,UAAU,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEqlC,GAAG,KAAKrlC,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,KAAK,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEmlC,GAAG,KAAKnlC,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,2BAA2B,SAAS7pB,EAAE,EAAEE,EAAEI,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEklC,GAAG,KAAKxlC,EAAE,EAAEE,EAAEI,CAAC,CAAC,EAAEupB,EAAE,EAAE,UAAU,WAAW,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE0c,GAAG,IAAI,CAAC,EAAE1c,EAAE,EAAE,UAAU,WAAW,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE2mC,GAAG,KAAK3mC,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,UAAU,SAAS7pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE6mC,GAAG,KAAK7mC,EAAE,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE6b,GAAG,IAAI,CAAC,EAAE7b,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE+b,GAAG,IAAI,CAAC,EAAE/b,EAAE,EAAE,UAAU,WAAW,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE+mC,GAAG,KAAK/mC,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,WAAW,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEod,GAAG,IAAI,CAAC,EAAEpd,EAAE,EAAE,UAAU,UAAU,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEmnC,GAAG,KAAKnnC,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,WAAW,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEqnC,GAAG,KAAKrnC,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,OAAO,SAAS7pB,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE2yB,GAAG,KAAK7yB,EAAE,EAAEE,CAAC,CAAC,EAAE2pB,EAAE,EAAE,UAAU,QAAQ,SAAS7pB,EAAE,EAAEE,EAAEI,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEqnC,GAAG,KAAK3nC,EAAE,EAAEE,EAAEI,CAAC,CAAC,EAAEupB,EAAE,EAAE,UAAU,IAAI,SAAS7pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEuiC,GAAG,KAAKviC,EAAE,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,QAAQ,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEioC,GAAG,KAAKjoC,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,KAAK,SAAS7pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEmoC,GAAG,KAAKnoC,EAAE,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,IAAI,SAAS7pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEyiC,GAAG,KAAKziC,EAAE,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,QAAQ,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEwoC,GAAG,KAAKxoC,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,UAAU,SAAS7pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE0oC,GAAG,KAAK1oC,EAAE,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,IAAI,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE4oC,GAAG,KAAK5oC,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,IAAI,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEm5B,EAAE,KAAKn5B,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE2K,GAAG,IAAI,CAAC,EAAE3K,EAAE,EAAE,UAAU,KAAK,SAAS7pB,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEmjC,GAAG,KAAKrjC,EAAE,EAAEE,CAAC,CAAC,EAAE2pB,EAAE,EAAE,UAAU,SAAS,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEopC,GAAG,KAAKppC,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,OAAO,SAAS7pB,EAAE,EAAE,EAAEE,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE6yB,GAAG,KAAK/yB,EAAE,EAAEE,CAAC,CAAC,EAAE2pB,EAAE,EAAE,UAAU,SAAS,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEyf,GAAG,IAAI,CAAC,EAAEzf,EAAE,EAAE,UAAU,IAAI,SAAS7pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE0pC,GAAG,KAAK1pC,EAAE,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,KAAK,SAAS7pB,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEiqC,GAAG,KAAKxqC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,CAAC,EAAEspB,EAAE,EAAE,UAAU,IAAI,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE2iC,GAAG,KAAK3iC,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,MAAM,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE0qC,GAAG,KAAK1qC,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,KAAK,SAAS7pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE4qC,GAAG,KAAK5qC,EAAE,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,WAAW,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEoiB,GAAG,IAAI,CAAC,EAAEpiB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEsiB,GAAG,IAAI,CAAC,EAAEtiB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEwiB,GAAG,IAAI,CAAC,EAAExiB,EAAE,EAAE,UAAU,UAAU,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEi8B,EAAE,KAAKj8B,EAAE,KAAK,CAAC,EAAE6pB,EAAE,EAAE,UAAU,QAAQ,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEi8B,EAAE,KAAKj8B,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,eAAe,SAAS7pB,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE81C,GAAG,KAAKh2C,EAAE,EAAEE,CAAC,CAAC,EAAE2pB,EAAE,EAAE,UAAU,sBAAsB,SAAS7pB,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEg2C,GAAG,KAAKl2C,EAAE,EAAEE,CAAC,CAAC,EAAE2pB,EAAE,EAAE,UAAU,QAAQ,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEusC,GAAG,KAAKvsC,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEslB,GAAG,IAAI,CAAC,EAAEtlB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEojB,GAAG,IAAI,CAAC,EAAEpjB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEsjB,GAAG,IAAI,CAAC,EAAEtjB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEwjB,GAAG,IAAI,CAAC,EAAExjB,EAAE,EAAE,UAAU,gBAAgB,SAAS7pB,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEgtC,GAAG,KAAKvtC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,CAAC,EAAEspB,EAAE,EAAE,UAAU,QAAQ,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE4S,GAAG,IAAI,CAAC,EAAE5S,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE8jB,GAAG,IAAI,CAAC,EAAE9jB,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEgkB,GAAG,IAAI,CAAC,EAAEhkB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEkkB,GAAG,IAAI,CAAC,EAAElkB,EAAE,EAAE,UAAU,MAAM,SAAS7pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE28B,GAAG,KAAK38B,EAAE,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,QAAQ,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEyuC,GAAG,KAAKzuC,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,SAAS,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEwc,GAAG,IAAI,CAAC,EAAExc,EAAE,EAAE,UAAU,eAAe,SAAS7pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEoqC,GAAG,KAAKpqC,EAAE,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,MAAM,SAAS7pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEivC,GAAG,KAAKjvC,EAAE,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEiZ,GAAG,IAAI,CAAC,EAAEjZ,EAAE,EAAE,UAAU,OAAO,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEmZ,GAAG,IAAI,CAAC,EAAEnZ,EAAE,EAAE,UAAU,kBAAkB,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEqvC,GAAG,KAAKrvC,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,QAAQ,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEuvC,GAAG,KAAKvvC,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,MAAM,SAAS7pB,EAAE,EAAE,CAAC,KAAK,gBAAgB,EAAE,IAAIE,EAAEF,aAAa4pB,GAAG,CAAC,KAAK5pB,CAAC,EAAE,CAAC,KAAK,GAAGA,CAAC,EAAE,OAAOyvC,GAAGvvC,EAAE,CAAC,CAAC,EAAE2pB,EAAE,EAAE,UAAU,KAAK,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE2vC,GAAG,KAAK3vC,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,aAAa,SAAS7pB,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE4tC,GAAG,KAAK7vC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,CAAC,CAAC,EAAE4nB,EAAE,EAAE,UAAU,IAAI,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEymC,GAAG,KAAKzmC,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,IAAI,SAAS7pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEkjC,GAAG,KAAKljC,EAAE,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEkmB,GAAG,IAAI,CAAC,EAAElmB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEgT,GAAG,IAAI,CAAC,EAAEhT,EAAE,EAAE,UAAU,KAAK,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE+jC,GAAG,KAAK/jC,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,OAAO,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE2G,GAAE,KAAK,MAAM,CAAC,EAAE3G,EAAE,EAAE,UAAU,QAAQ,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE2G,GAAE,KAAK,SAAS,CAAC,EAAE3G,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE2G,GAAE,KAAK,OAAO,CAAC,EAAE3G,EAAE,EAAE,UAAU,KAAK,SAAS7pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEswC,GAAG,KAAKtwC,EAAE,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,UAAU,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE40B,GAAG,KAAK50B,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,OAAO,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE0wC,GAAG,KAAK1wC,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,mBAAmB,SAAS7pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE4wC,GAAG,KAAK5wC,EAAE,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,QAAQ,SAAS7pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE8wC,GAAG,KAAK9wC,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,MAAM,SAAS7pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEihC,GAAGjhC,EAAE,KAAK,CAAC,CAAC,EAAE6pB,EAAE,EAAE,UAAU,UAAU,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEsX,GAAG,IAAI,CAAC,EAAE,IAAIwkB,GAAG,cAAc,KAAK,CAAC,YAAY7kD,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAO,eAAe,KAAK6kD,GAAG,SAAS,CAAC,CAAC,EAAEC,GAAG,cAAc,KAAK,CAAC,YAAY9kD,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAO,eAAe,KAAK8kD,GAAG,SAAS,CAAC,CAAC,EAAEC,EAAE,cAAc,KAAK,CAAC,YAAY/kD,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAO,eAAe,KAAK+kD,EAAE,SAAS,CAAC,CAAC,EAAEC,GAAG,cAAc,KAAK,CAAC,YAAYhlD,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAO,eAAe,KAAKglD,GAAG,SAAS,CAAC,CAAC,EAAEC,GAAG,cAAc,KAAK,CAAC,YAAYjlD,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAO,eAAe,KAAKilD,GAAG,SAAS,CAAC,CAAC,EAAMC,GAAG,KAAK,CAAC,YAAYllD,EAAE,CAAC,KAAK,WAAWA,GAAG,IAAI,KAAK,MAAM,IAAI,GAAG,CAAC,IAAIA,EAAE,CAAC,IAAIZ,EAAE,OAAO,KAAK,MAAM,IAAIY,CAAC,IAAIZ,EAAE,KAAK,MAAM,IAAIY,CAAC,EAAE,KAAK,MAAM,OAAOA,CAAC,EAAE,KAAK,MAAM,IAAIA,EAAEZ,CAAC,GAAGA,CAAC,CAAC,IAAIY,EAAEZ,EAAE,CAAC,GAAG,KAAK,MAAM,IAAIY,CAAC,EAAE,KAAK,MAAM,OAAOA,CAAC,UAAU,KAAK,MAAM,MAAM,KAAK,WAAW,CAAC,IAAI,EAAE,KAAK,MAAM,KAAK,EAAE,KAAK,EAAE,MAAM,KAAK,MAAM,OAAO,CAAC,CAAC,CAAC,KAAK,MAAM,IAAIA,EAAEZ,CAAC,CAAC,CAAC,eAAe,CAAC,OAAO,KAAK,UAAU,CAAC,cAAcY,EAAE,CAAC,GAAGA,EAAE,EAAE,MAAM,IAAI,MAAM,4DAA4DA,IAAI,EAAE,GAAG,KAAK,WAAWA,EAAE,QAAQZ,EAAE,EAAEA,EAAE,KAAK,WAAWY,EAAEZ,IAAI,CAAC,IAAI,EAAE,KAAK,MAAM,KAAK,EAAE,KAAK,EAAE,MAAM,KAAK,MAAM,OAAO,CAAC,CAAC,CAAC,KAAK,WAAWY,CAAC,CAAC,EAAE,SAASmlD,GAAGjmD,EAAE,EAAE,CAAC,GAAG,MAAM,QAAQA,CAAC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAE,EAAEA,IAAIJ,EAAEA,EAAE,OAAOF,CAAC,EAAE,OAAOE,CAAC,KAAK,CAAC,IAAIA,EAAE,IAAI,MAAM,CAAC,EAAE,OAAOA,EAAE,KAAKF,CAAC,EAAEE,CAAC,CAAC,CAAC,SAASgmD,GAAGlmD,EAAE,EAAE,CAAC,GAAG,CAACA,EAAE,MAAM,IAAI+lD,GAAG,CAAC,CAAC,CAAC,SAASI,GAAGnmD,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAE,QAAQI,KAAKN,EAAEM,IAAI,GAAGJ,IAAI,OAAOA,CAAC,CAAC,SAASkmD,GAAGpmD,EAAE,CAAC,OAAOA,EAAE,SAAS,EAAEA,EAAE,GAAGA,CAAC,CAAC,SAASqmD,GAAGrmD,EAAE,CAAC,OAAO,MAAM,QAAQA,CAAC,EAAEA,EAAE,CAACA,CAAC,CAAC,CAAC,SAASsmD,GAAGtmD,EAAE,CAAC,IAAIE,EAAEF,EAAE,QAAQ,uBAAuB,OAAO,EAAE,QAAQ,kBAAkB,OAAO,EAAE,YAAY,EAAE,OAAOE,EAAE,KAAK,IAAIA,EAAE,UAAUA,CAAC,CAAC,SAASqmD,GAAGvmD,EAAE,CAAC,OAAOA,EAAE,QAAQ,GAAGA,EAAE,QAAQ,GAAG,IAAI,GAAGA,EAAEA,EAAE,QAAQ,cAAc,CAAC,EAAEE,IAAIA,EAAE,YAAY,CAAC,CAAC,CAAC,IAAIsmD,GAAG,CAAC,EAAE,SAASC,GAAGzmD,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,KAAK,IAAI,EAAE,CAAC,EAAE,OAAO,EAAE,UAAUA,EAAE,aAAa,EAAE,EAAE,OAAOA,EAAE,UAAU,EAAE,CAAC,CAAC,SAAS0mD,GAAG1mD,EAAE,CAAC,GAAG,EAAEA,GAAG,MAAM,OAAOA,GAAG,UAAU,GAAG,MAAM,QAAQA,CAAC,EAAEA,EAAE,QAAQ,GAAG0mD,GAAG,CAAC,CAAC,MAAM,CAAC,IAAI,EAAE,OAAO,KAAK1mD,CAAC,EAAE,QAAQE,KAAK,EAAE,CAAC,IAAII,EAAEN,EAAEE,GAAGI,GAAG,MAAM,OAAOA,GAAG,WAAW,CAAC,MAAM,QAAQA,CAAC,GAAGA,EAAE,OAAO,WAAW,OAAOA,EAAE,OAAO,SAASN,EAAEE,GAAGI,EAAE,MAAMomD,GAAGpmD,CAAC,EAAE,CAAC,CAAC,CAAC,SAASqmD,GAAG3mD,EAAE,EAAE,CAAC,EAAEE,EAAE,CAAC,EAAEI,EAAE,SAASC,EAAE,GAAG,CAAC,GAAG,OAAOP,GAAG,SAAS,CAAC,IAAI,EAAEA,EAAE,EAAE,GAAG,KAAKE,EAAE,EAAEA,EAAE,WAAW,KAAKsmD,GAAG,EAAEA,GAAG,WAAW,EAAE,EAAE,GAAG,GAAG,KAAK,MAAM,IAAIX,EAAE,WAAWvlD,MAAMN;AAAA,SAC7xkCM;AAAA,gBACOA,mGAAmG,EAAE,OAAO,CAAC,KAAK,CAAC,IAAI,EAAEN,EAAE,GAAG,EAAE,WAAW,MAAM,EAAE,QAAQ,KAAK,MAAM,IAAI6lD,EAAE,GAAGvlD,8BAA8B,KAAK,UAAU,CAAC;AAAA,mCAC1M,EAAE,IAAI,EAAE,EAAE,UAAU2B,EAAEC,EAAE,GAAG,KAAKhC,EAAE,CAAC+B,EAAEC,CAAC,EAAEhC,EAAE,GAAG,KAAKsmD,GAAG,CAACvkD,EAAEC,CAAC,EAAEskD,GAAG,UAAU,KAAK,IAAI,CAACvkD,EAAEC,CAAC,EAAE,EAAE,IAAID,GAAG,KAAK,MAAM,IAAI4jD,EAAE,WAAWvlD,MAAM;AAAA,SAC5JA;AAAA,gBACOA,mGAAmG,EAAE,GAAG4B,GAAG,KAAK,CAAC,IAAIC,EAAE,CAAC,EAAE,QAAQY,KAAK,OAAO,KAAKyjD,EAAE,EAAErkD,EAAEY,GAAGyjD,GAAGzjD,GAAG,QAAQA,KAAK,OAAO,KAAK7C,CAAC,EAAEiC,EAAEY,GAAG7C,EAAE6C,GAAG,IAAIH,EAAE,EAAE,OAAOA,EAAE,cAAcT,EAAE,IAAIU,EAAE,OAAO,OAAO,CAAC,EAAE2jD,EAAE,EAAE,QAAQzjD,KAAK,OAAO,KAAK7C,CAAC,EAAEsmD,GAAGzjD,GAAG7C,EAAE6C,GAAG2jD,GAAG,EAAE,MAAM,EAAE,IAAI5jD,EAAEZ,EAAED,EAAE,EAAE,OAAO/B,EAAEK,CAAC,EAAE,OAAOimD,GAAG,OAAO,OAAO,CAAC,EAAE3jD,CAAC,EAAEC,CAAC,KAAK,CAAC,IAAIX,EAAE,OAAO,OAAO,CAAC,EAAEqkD,EAAE,EAAE,QAAQ3jD,KAAK,OAAO,KAAK3C,CAAC,EAAEsmD,GAAG3jD,GAAG3C,EAAE2C,GAAG,IAAID,EAAE,IAAIX,EAAE,EAAE,MAAM,EAAE,OAAOukD,GAAG,OAAO,OAAO,CAAC,EAAErkD,CAAC,EAAES,CAAC,CAAC,CAAC,CAAC,SAASgkD,GAAG5mD,EAAE,EAAE,CAAC,OAAOA,EAAE,EAAE,GAAGA,EAAE,EAAE,EAAE,CAAC,CAAC,SAAS6mD,GAAG7mD,EAAE,EAAE,CAAC,MAAM,GAAG4mD,GAAG5mD,EAAE,CAAC,CAAC,CAAC,SAAS8mD,GAAG9mD,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAOA,EAAE,IAAI,EAAE,CAAC,EAAE,QAAQE,KAAKF,EAAE,EAAE,QAAQE,CAAC,IAAI,IAAI,EAAE,KAAKA,CAAC,EAAE,OAAO,CAAC,CAAC,SAAS6mD,GAAG/mD,EAAE,CAAC,GAAGA,GAAG,KAAK,MAAM,IAAI6lD,EAAE,yBAAyB,KAAK,UAAU7lD,CAAC,GAAG,EAAE,QAAQ,KAAKA,EAAE,GAAGA,EAAE,eAAe,CAAC,EAAE,MAAM,GAAG,MAAM,EAAE,CAAC,SAASgnD,GAAGhnD,EAAE,EAAEE,EAAE,CAAC,GAAGA,GAAG,MAAMF,EAAE,QAAQE,CAAC,EAAE,EAAE,MAAM,IAAI2lD,EAAE,GAAG3lD,oBAAoB,wBAAwBF,sBAAsB,CAAC,CAAC,SAASinD,GAAGjnD,EAAE,EAAEE,EAAE,EAAEI,EAAE,EAAE,EAAE,CAAC,OAAO4lD,GAAGhmD,GAAG,CAAC,EAAEgmD,GAAG5lD,GAAGJ,CAAC,EAAE,MAAM,QAAQF,CAAC,GAAGA,EAAE,QAAQE,GAAGF,EAAE,QAAQM,GAAGN,EAAE,MAAMO,GAAG,OAAOA,IAAI,CAAC,CAAC,CAAC,SAAS2mD,GAAGlnD,EAAE,EAAE,CAAC,MAAM,QAAQA,CAAC,GAAG6mB,EAAE,OAAO7mB,EAAE,OAAO,EAAE,IAAI,GAAG,mCAAmC,EAAEA,EAAE,QAAQ,CAACE,EAAEI,IAAI4mD,GAAGhnD,EAAE,WAAWI,EAAE,QAAQ,GAAG,CAAC,GAAGumB,EAAE,OAAO,OAAO,UAAU7mB,CAAC,GAAGA,EAAE,EAAE,IAAI,YAAY,uCAAuCmnD,GAAGnnD,CAAC,IAAI,CAAC,CAAC,SAASmnD,GAAGnnD,EAAE,CAAC,OAAOA,IAAI,KAAK,OAAO,MAAM,QAAQA,CAAC,EAAE,IAAIA,EAAE,IAAI,GAAGmnD,GAAG,CAAC,CAAC,EAAE,KAAK,GAAG,EAAE,IAAI,OAAOnnD,GAAG,SAAS,IAAIA,KAAK,GAAGA,GAAG,CAAC,SAASonD,GAAGpnD,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEJ,GAAG,KAAKA,EAAE,EAAE2mB,EAAE,IAAI,EAAEtmB,EAAE,MAAM,IAAIyB,IAAI,CAAC,IAAIC,EAAE/B,GAAG,KAAKA,EAAE,EAAE2mB,EAAE,IAAI,EAAE,OAAO5kB,EAAE3B,EAAE,IAAIA,EAAE2B,EAAE1B,EAAEP,EAAE,GAAGgC,CAAC,GAAGzB,CAAC,CAAC,CAAC,SAAS8mD,GAAGrnD,EAAE,CAAC,OAAOA,IAAI,OAAO,OAAOA,IAAI,SAAS,SAASA,IAAI,MAAM,MAAM,IAAI,CAAC,IAAIsnD,GAAG,EAAE,SAASC,IAAI,CAAC,OAAOD,IAAI,CAAC,IAAIE,GAAG,CAAC,EAAE,SAASC,GAAGznD,EAAE,GAAG,CAAC,OAAOA,KAAKwnD,KAAKA,GAAGxnD,GAAG,GAAGwnD,GAAGxnD,IAAI,EAAEA,EAAEwnD,GAAGxnD,GAAG,SAAS,CAAC,CAAC,IAAI0nD,GAAG,CAAC,gBAAgB,cAAc,EAAEC,GAAG,CAAC,UAAU,UAAU,EAAEC,GAAG,CAAC,QAAQ,OAAO,QAAQ,EAAEC,GAAG,CAAC,MAAM,KAAK,EAAEC,GAAG,CAAC,MAAM,MAAM,SAAS,KAAK,EAAMC,GAAG,IAAI,IAAI,SAASC,GAAGhoD,EAAE,CAACgnD,GAAGU,GAAG,aAAa1nD,CAAC,CAAC,CAAC,SAASioD,GAAGjoD,EAAE,CAACgnD,GAAGW,GAAG,sBAAsB3nD,CAAC,CAAC,CAAC,SAASkoD,GAAGloD,EAAE,CAACgnD,GAAGY,GAAG,cAAc5nD,CAAC,CAAC,CAAC,SAASmoD,GAAGnoD,EAAE,CAACgnD,GAAGa,GAAG,WAAW7nD,CAAC,CAAC,CAAC,IAAIooD,GAAG,CAAC,EAAEC,GAAG,IAAI,SAASC,GAAGtoD,EAAE,EAAE,CAACooD,GAAG,KAAKpoD,CAAC,EAAE,GAAG,CAAC,IAAIE,EAAE,EAAE,EAAE,OAAOkoD,GAAG,IAAI,EAAEloD,CAAC,OAAOA,EAAN,CAAS,MAAMkoD,GAAG,IAAI,EAAEloD,CAAC,CAAC,CAAC,SAASqoD,IAAI,CAAC,OAAOH,GAAG,SAAS,EAAE,GAAGA,GAAG,KAAKC,EAAE,EAAEA,EAAE,CAAC,SAASG,GAAGxoD,EAAE,CAAC,GAAG,CAACyoD,GAAGzoD,CAAC,EAAE,MAAM,IAAI,MAAM,6BAA6BA,EAAE,GAAG,EAAE,OAAOuoD,GAAG,EAAEvoD,CAAC,CAAC,SAAS0oD,GAAG1oD,EAAE,CAAC,GAAG,CAACyoD,GAAGzoD,CAAC,EAAE,MAAM,IAAI,MAAM,6BAA6BA,EAAE,GAAG,EAAE+nD,GAAG,IAAI/nD,CAAC,GAAG+nD,GAAG,IAAI/nD,EAAE,CAAC,EAAE,IAAI,EAAE+nD,GAAG,IAAI/nD,CAAC,EAAE,GAAG+nD,GAAG,IAAI/nD,EAAE+nD,GAAG,IAAI/nD,CAAC,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,IAAIE,EAAE,GAAGF,KAAK,IAAI,OAAO+nD,GAAG,IAAI7nD,EAAE,CAAC,EAAEA,CAAC,KAAM,QAAOF,CAAC,CAAC,IAAI2oD,GAAG,IAAI,OAAO,iCAAiC,EAAE,SAASF,GAAGzoD,EAAE,CAAC,MAAM,CAAC,CAACA,EAAE,MAAM2oD,EAAE,CAAC,CAAC,SAASC,GAAG5oD,EAAE,CAAC,OAAOA,IAAI,SAASA,EAAE,SAAS,EAAE,EAAE,CAAC,CAAC,SAAS6oD,GAAG7oD,EAAE,EAAEE,EAAE,CAAC,GAAG,OAAO,EAAE,GAAGA,GAAG,OAAOA,EAAEF,EAAE,QAAQ,IAAIM,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAEL,EAAE,EAAEK,EAAED,GAAGN,EAAEO,GAAG,OAAOD,CAAC,CAAC,SAASwoD,GAAG9oD,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,OAAO,IAAI,IAAI,EAAE,OAAO,kBAAkB,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,CAAC,IAAII,EAAEN,EAAEE,GAAGI,EAAE,IAAI,EAAEA,EAAE,CAAC,OAAO,CAAC,CAAC,SAASyoD,GAAG/oD,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,OAAO,IAAI,IAAI,EAAE,OAAO,kBAAkB,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,CAAC,IAAII,EAAEN,EAAEE,GAAGI,EAAE,IAAI,EAAEA,EAAE,CAAC,OAAO,CAAC,CAAC,SAAS0oD,GAAGhpD,EAAE,EAAE,CAAC,GAAG,EAAEA,EAAE,MAAM,IAAI6lD,EAAE,QAAQ,eAAe7lD,kBAAkB,EAAE,IAAIE,EAAE,CAAC,EAAE,QAAQI,EAAEN,EAAEM,EAAE,EAAE,EAAEA,EAAEJ,EAAE,KAAKI,CAAC,EAAE,OAAOJ,CAAC,CAAC,IAAI+oD,GAAG,SAASC,IAAI,CAAC,OAAOD,IAAI,OAAOA,GAAG90B,GAAG,EAAE,QAAQ,GAAG80B,EAAE,CAAC,SAASE,IAAI,CAAC,MAAM,cAAc,CAAC,SAASC,GAAGppD,EAAE,EAAE,CAAC,OAAOwwB,GAAExwB,EAAE,CAAC,CAAC,CAAC,SAASqpD,GAAGrpD,EAAE,EAAE,GAAG,CAAC,IAAIE,EAAEF,EAAE,MAAM,MAAM,EAAE,OAAO,EAAE,IAAI,EAAEE,EAAE,OAAO,EAAE,GAAGA,EAAE,OAAO,EAAE,EAAE,CAAC,EAAE+7B,EAAEj8B,EAAEE,CAAC,CAAC,CAAC,SAASopD,GAAGtpD,EAAE,EAAE,CAAC,OAAOwzB,EAAE,IAAI,CAAC,GAAGxzB,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI6lD,EAAE,yDAAyD7lD,EAAE,MAAM,gBAAgB,EAAE,IAAIE,EAAEmpD,GAAGrpD,EAAE,CAAC,EAAE,OAAOupD,GAAGrpD,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAASspD,GAAGxpD,EAAE,CAAC,IAAI,EAAE,CAAC6oD,GAAG7oD,EAAE,KAAK,CAAC,EAAE,OAAOi8B,EAAEj8B,EAAE,CAAC,CAAC,CAAC,SAASypD,GAAGzpD,EAAE,CAAC,GAAGA,EAAE,MAAM,EAAE,MAAM,IAAI6lD,EAAE,wDAAwD7lD,EAAE,OAAO,EAAE,IAAI,EAAE,CAACA,EAAE,MAAM,GAAG6oD,GAAG7oD,EAAE,MAAM,CAAC,CAAC,EAAE,OAAOi8B,EAAEj8B,EAAE,CAAC,CAAC,CAAC,SAAS0pD,GAAG1pD,EAAE,EAAEE,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,OAAOxzB,EAAE,KAAK,CAAC,IAAK,GAAE,OAAOiuC,GAAGjuC,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOiuC,GAAGnuC,EAAE,CAAC,EAAE,CAAC,EAAE,CAACE,EAAEF,EAAE,MAAM,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOquC,GAAGruC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,CAACE,EAAEF,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOuuC,GAAGvuC,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE,CAACE,EAAEF,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAE,IAAK,GAAE,OAAO28B,GAAG38B,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,EAAE,CAACE,EAAEF,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAE,IAAK,GAAE,OAAO28B,GAAG38B,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC,EAAE,CAACE,EAAEF,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAE,QAAQ,MAAM,IAAI6lD,EAAE,8DAA8D7lD,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS2pD,GAAG3pD,EAAE,EAAEE,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,OAAOxzB,EAAE,KAAK,CAAC,IAAK,GAAE,OAAOiuC,GAAGjuC,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOiuC,GAAGnuC,EAAE,CAAC,EAAE,CAAC,EAAE,CAACA,EAAE,MAAM,GAAGE,CAAC,CAAC,EAAE,IAAK,GAAE,OAAOmuC,GAAGruC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGE,CAAC,CAAC,EAAE,IAAK,GAAE,OAAOquC,GAAGvuC,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGE,CAAC,CAAC,EAAE,QAAQ,MAAM,IAAI2lD,EAAE,6DAA6D7lD,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS4pD,GAAG5pD,EAAE,EAAEE,EAAEI,EAAE,CAAC,OAAOkzB,EAAE,IAAI,CAAC,OAAOxzB,EAAE,KAAK,CAAC,IAAK,GAAE,OAAOiuC,GAAGjuC,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOI,EAAE,CAAC,IAAK,GAAE,OAAOopD,GAAG1pD,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOypD,GAAG3pD,EAAE,EAAEE,CAAC,EAAE,QAAQ,MAAM,IAAI2lD,EAAE,iDAAiDvlD,GAAG,CAAC,CAAC,IAAK,GAAE,OAAOA,EAAE,CAAC,IAAK,GAAE,OAAOopD,GAAG1pD,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOmuC,GAAGruC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,CAACA,EAAE,MAAM,GAAGE,EAAEF,EAAE,MAAM,EAAE,CAAC,EAAE,IAAK,GAAE,OAAO2pD,GAAG3pD,EAAE,EAAEE,CAAC,EAAE,QAAQ,MAAM,IAAI2lD,EAAE,iDAAiDvlD,GAAG,CAAC,CAAC,IAAK,GAAE,OAAOA,EAAE,CAAC,IAAK,GAAE,OAAOopD,GAAG1pD,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOquC,GAAGvuC,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE,CAACA,EAAE,MAAM,GAAGE,EAAEF,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOuuC,GAAGvuC,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGE,EAAEF,EAAE,MAAM,EAAE,CAAC,EAAE,IAAK,GAAE,OAAO2pD,GAAG3pD,EAAE,EAAEE,CAAC,EAAE,QAAQ,MAAM,IAAI2lD,EAAE,iDAAiDvlD,GAAG,CAAC,CAAC,QAAQ,MAAM,IAAIulD,EAAE,6DAA6D7lD,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS6pD,GAAG7pD,EAAE,EAAE,GAAG,CAAC,IAAIE,EAAE,OAAO,EAAE,IAAIA,EAAEF,EAAE,GAAG,KAAKE,IAAI,EAAE,EAAEA,EAAE,EAAE,GAAG,IAAIF,EAAE,GAAG,OAAO,EAAE,IAAIu8B,GAAGv8B,EAAE,CAAC,CAAC,CAAC,SAAS8pD,GAAG9pD,EAAE,EAAE,CAAC,OAAOA,EAAE,KAAK,CAAC,IAAK,GAAE,OAAOu+B,GAAG,CAACv+B,EAAE,CAAC,CAAC,EAAE,IAAK,GAAE,OAAOy+B,GAAG,CAACz+B,EAAE,CAAC,EAAE,CAAC,EAAE,IAAK,GAAE,OAAO2+B,GAAG,CAAC3+B,EAAE,CAAC,EAAE,CAAC,EAAE,IAAK,GAAE,OAAO6+B,GAAG,CAAC7+B,EAAE,CAAC,EAAE,CAAC,EAAE,QAAQ,MAAM,IAAI6lD,EAAE,+DAA+D7lD,EAAE,MAAM,CAAC,CAAC,CAAC,SAASupD,GAAGvpD,EAAE,EAAE,CAAC,GAAG,MAAM,QAAQ,CAAC,IAAI,EAAE,CAAC,CAAC,GAAGA,EAAE,OAAO,EAAE,OAAO,MAAM,IAAI6lD,EAAE,0BAA0B,EAAE,+DAA+D7lD,EAAE,OAAO,EAAE,OAAO+jC,GAAG/jC,EAAE,CAAC,CAAC,CAAC,SAAS+pD,GAAG/pD,EAAE,EAAE,EAAEE,EAAE,EAAEI,EAAEC,EAAE,CAAC,OAAOmrC,GAAG1rC,EAAE,EAAEE,EAAEI,EAAEC,CAAC,CAAC,CAAC,SAASypD,GAAGhqD,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAGN,EAAE,KAAK,GAAG,EAAE,KAAK,EAAE,MAAM,IAAI8lD,GAAG,8DAA8D9lD,EAAE,uBAAuB,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,EAAE,CAAC,IAAIO,EAAEP,EAAE,MAAM,MAAM,EAAE,EAAE,GAAG,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,GAAG,GAAGO,IAAI,EAAE,MAAM,IAAIulD,GAAG,gGAAgG9lD,EAAE,wBAAwB,EAAE,OAAO,CAAC,CAAC,GAAGA,EAAE,OAAO,GAAG,EAAE,OAAO,EAAE,OAAOsyC,GAAG,OAAO,CAAC,EAAEtyC,EAAE,EAAE,EAAE,WAAW,GAAG,WAAW,GAAG,KAAKM,EAAE2pD,GAAGjqD,EAAE,KAAKM,EAAE6oD,GAAG,CAAC,EAAE,KAAK,WAAWjpD,CAAC,CAAC,EAAE,CAAC,IAAIK,EAAEP,EAAE,MAAM,MAAM,EAAE,EAAEO,EAAE,IAAI,EAAEP,EAAEi8B,EAAEj8B,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE,IAAI,EAAE,EAAE,MAAM,MAAM,EAAEiC,EAAE,EAAE,IAAI,EAAEC,EAAE,EAAE,IAAI,EAAEC,EAAE,CAAC,GAAG,EAAEF,CAAC,EAAEW,EAAE,MAAM,KAAK,CAAC,OAAO,EAAE,IAAI,EAAE,CAACI,EAAEkB,IAAIA,IAAI,EAAE,EAAE,KAAK,EAAEA,GAAG,EAAE,KAAK,EAAEA,EAAE,EAAEA,CAAC,EAAE,EAAE+3B,EAAErH,GAAG,EAAEhyB,CAAC,EAAE,CAACV,EAAE,EAAE,CAAC,EAAE,IAAIW,EAAE,CAAC,GAAGtC,EAAE,GAAG4B,CAAC,EAAEW,EAAE,GAAGC,EAAE,GAAG,OAAOk5B,EAAEqW,GAAG,OAAO,CAAC,EAAEtyC,EAAE,EAAE,EAAE,WAAW8C,EAAE,WAAWC,EAAE,KAAKzC,EAAE2pD,GAAGjqD,EAAE,KAAKM,EAAE6oD,GAAG,CAAC,EAAE,KAAK,WAAWjpD,CAAC,CAAC,EAAE2C,CAAC,CAAC,CAAC,CAAC,SAASqnD,GAAGlqD,EAAE,EAAEE,EAAE,CAAC,OAAOszB,EAAE,KAAK,MAAM,QAAQ,CAAC,EAAE,EAAEwc,GAAG,EAAE,OAAO,EAAE,EAAExf,GAAE,EAAE,OAAO,EAAE6T,GAAGrkC,EAAE,EAAEE,CAAC,EAAE,CAAC,CAAC,SAASiqD,GAAGnqD,EAAE,CAAC,OAAOm5B,EAAEn5B,EAAEA,CAAC,CAAC,CAAC,SAASiqD,GAAGjqD,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,EAAE,MAAM,GAAG,EAAE,OAAO,GAAG,EAAE,OAAON,EAAE,MAAM,IAAI6lD,EAAE,+BAA+B,EAAE,gCAAgC7lD,GAAG,EAAE,GAAGA,IAAI,EAAE,CAAC,GAAGE,IAAI,gBAAgB,OAAOI,EAAE,SAAS,EAAE27B,EAAE,EAAE,CAAC,EAAE37B,EAAE,GAAG,EAAE,EAAE,CAAC,CAAC,EAAE27B,EAAE,EAAE,CAAC,EAAE37B,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,CAAC,EAAE,GAAGJ,IAAI,eAAe,OAAOI,EAAE,SAAS,EAAE27B,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE37B,EAAE,EAAE,CAAC,EAAE27B,EAAE,EAAE,CAAC,CAAC,EAAE,OAAO37B,CAAC,CAAC,CAAC,SAASN,IAAI,EAAE,CAAC,GAAGE,IAAI,gBAAgB,OAAOI,EAAE,SAAS,EAAE27B,EAAE,EAAE,CAAC,EAAE37B,EAAE,GAAG,EAAE,CAAC,CAAC,EAAE27B,EAAE,EAAE,CAAC,EAAE37B,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,CAAC,EAAE,GAAGJ,IAAI,eAAe,OAAOI,EAAE,SAAS,EAAE27B,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE37B,EAAE,EAAE,CAAC,EAAE27B,EAAE,EAAE,CAAC,CAAC,EAAE,OAAO37B,CAAC,CAAC,CAAC,SAASN,IAAI,EAAE,CAAC,GAAGE,IAAI,gBAAgB,OAAOI,EAAE,SAAS,EAAE27B,EAAE,EAAE,CAAC,EAAE37B,EAAE,GAAG,CAAC,CAAC,EAAE27B,EAAE,EAAE,CAAC,EAAE37B,EAAE,GAAGA,EAAE,EAAE,CAAC,EAAE,GAAGJ,IAAI,eAAe,OAAOI,EAAE,SAAS,EAAE27B,EAAE,EAAE,CAAC,EAAE,EAAE37B,EAAE,EAAE,CAAC,EAAE27B,EAAE,EAAE,CAAC,CAAC,EAAE,OAAO37B,CAAC,CAAC,CAAC,SAASN,EAAE,EAAE,OAAO,EAAE,MAAM,IAAI6lD,EAAE,sCAAsC,EAAE,MAAM,CAAC,CAAC,SAASuE,GAAGpqD,EAAE,EAAEE,EAAE,CAAC,OAAOszB,EAAE,KAAKtzB,GAAG,OAAOA,EAAEipD,GAAG,GAAGnB,GAAG9nD,CAAC,EAAE24B,EAAE74B,EAAEiqD,GAAGjqD,EAAE,KAAK,EAAEE,CAAC,CAAC,EAAE,CAAC,CAAC,SAASmqD,GAAGrqD,EAAE,EAAE,EAAE,CAAC,GAAG,IAAI,EAAE,MAAM,IAAI8lD,GAAG,0CAA0C,4BAA4B,EAAE,OAAOnkB,GAAG3hC,CAAC,CAAC,CAAC,SAASsqD,GAAGtqD,EAAE,CAAC,OAAOwzB,EAAE,IAAIyF,GAAGj5B,EAAE64B,EAAEQ,GAAGr5B,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,SAASuqD,GAAGvqD,EAAE,EAAEE,EAAEI,EAAE,CAAC,OAAOkzB,EAAE,IAAIye,GAAGjyC,EAAE,EAAEE,EAAEI,CAAC,CAAC,CAAC,CAAC,SAASkqD,GAAGxqD,EAAE,CAAC,OAAOwzB,EAAE,IAAI,CAAC,IAAI,EAAEqF,EAAE,GAAGM,EAAE,GAAGn5B,CAAC,CAAC,EAAE,OAAOq+B,GAAG,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,SAASosB,GAAGzqD,EAAE,EAAEE,EAAE,GAAG,CAAC,OAAOA,EAAEF,EAAE,EAAE,EAAE,CAAC,CAAC,IAAI0qD,GAAG,CAAC,QAAQ,SAAS,QAAQ,EAAEC,GAAG,CAAC,SAAS,UAAU,iBAAiB,EAAE,SAASC,GAAG5qD,EAAE,CAACgnD,GAAG0D,GAAG,UAAU1qD,CAAC,CAAC,CAAC,SAAS6qD,GAAG7qD,EAAE,CAACgnD,GAAG2D,GAAG,eAAe3qD,CAAC,CAAC,CAAC,IAAI8qD,GAAG,cAActzB,GAAE,YAAY,CAAC,6BAA6B,CAAC,MAAM,EAAE,CAAC,WAAW,CAAC,MAAM,CAAC,CAAC,CAAC,EAAEuzB,GAAG,cAAcD,EAAE,CAAC,MAAMhqD,EAAEZ,EAAE,CAAC,OAAOkoC,GAAGtnC,EAAEZ,CAAC,CAAC,CAAC,EAAE6qD,GAAG,UAAU,QAAQvzB,GAAE,cAAcuzB,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,MAAMhqD,EAAEZ,EAAE,CAAC,OAAOmoC,GAAGvnC,EAAEZ,CAAC,CAAC,CAAC,EAAE8qD,GAAG,UAAU,OAAOxzB,GAAE,cAAcwzB,EAAE,EAAE,IAAIC,GAAG,cAAcH,EAAE,CAAC,YAAYhqD,EAAE,CAAC,GAAG,MAAM,EAAE,OAAOA,GAAG,SAAS,MAAM,IAAI+kD,EAAE,oDAAoD/kD,GAAG,EAAE,GAAGA,EAAE,QAAQ,OAAO,MAAM,IAAI+kD,EAAE,sCAAsC/kD,GAAG,EAAE,KAAK,MAAMA,EAAE,KAAK,CAAC,MAAMA,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI2F,EAAEyJ,GAAG,KAAK,KAAK,EAAEyF,GAAGvnC,EAAEZ,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,MAAM,KAAK,KAAK,CAAC,CAAC,EAAE+qD,GAAG,UAAU,WAAWzzB,GAAE,cAAcyzB,EAAE,EAAE,IAAIC,GAAG,cAAcJ,EAAE,CAAC,YAAYhqD,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,KAAK,eAAe,IAAI,KAAK,OAAOA,EAAE,QAAQ,KAAK,eAAe,KAAK,OAAOA,EAAE,QAAQ,KAAK,eAAe,KAAK,KAAKA,EAAE,IAAI,CAAC,MAAMA,EAAEZ,EAAE,CAAC,OAAO4rC,GAAGhrC,EAAE,KAAK,OAAO,KAAK,OAAOZ,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,OAAO,KAAK,OAAO,OAAO,KAAK,OAAO,KAAK,KAAK,IAAI,CAAC,CAAC,EAAEgrD,GAAG,UAAU,gBAAgB1zB,GAAE,cAAc0zB,EAAE,EAAE,IAAIC,GAAG,cAAcL,EAAE,CAAC,YAAYhqD,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,EAAE,KAAK,eAAe,IAAI,KAAK,KAAKA,EAAE,MAAM,KAAK,aAAa,KAAK,OAAOA,EAAE,QAAQ,KAAK,eAAe,KAAK,KAAKA,EAAE,IAAI,CAAC,MAAMA,EAAEZ,EAAE,CAAC,GAAGA,EAAEA,GAAG,UAAUA,IAAI,WAAWA,IAAI,QAAQ,MAAM,IAAI4lD,GAAG,uCAAuC5lD,IAAI,EAAE,OAAO6pD,GAAGjpD,EAAE,KAAK,KAAK,KAAK,OAAOZ,EAAE,KAAK,IAAI,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,KAAK,KAAK,KAAK,OAAO,KAAK,OAAO,KAAK,KAAK,IAAI,CAAC,CAAC,EAAEirD,GAAG,UAAU,eAAe3zB,GAAE,cAAc2zB,EAAE,EAAE,IAAIC,GAAG,cAAcN,EAAE,CAAC,YAAYhqD,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,EAAE,KAAK,eAAe,IAAI,KAAK,KAAKA,EAAE,MAAM,KAAK,aAAa,KAAK,OAAOA,EAAE,QAAQ,KAAK,eAAe,KAAK,KAAKA,EAAE,IAAI,CAAC,MAAMA,EAAEZ,EAAE,CAAC,GAAGA,EAAEA,GAAG,UAAUA,IAAI,WAAWA,IAAI,QAAQ,MAAM,IAAI4lD,GAAG,0CAA0C5lD,IAAI,EAAE,OAAOswC,GAAG1vC,EAAE,KAAK,KAAK,KAAK,OAAOZ,EAAE,KAAK,IAAI,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,KAAK,KAAK,KAAK,OAAO,KAAK,OAAO,KAAK,KAAK,IAAI,CAAC,CAAC,EAAEkrD,GAAG,UAAU,kBAAkB5zB,GAAE,cAAc4zB,EAAE,EAAE,IAAIC,GAAG,cAAcP,EAAE,CAAC,YAAYhqD,EAAE,CAAC,MAAM,EAAE,KAAK,KAAKA,EAAE,MAAM,KAAKA,EAAE,KAAK,CAAC,CAAC,MAAMA,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,GAAG1yB,EAAE,SAAS,GAAGA,EAAE,KAAKA,EAAE,GAAG,MAAM,IAAI+kD,EAAE,sEAAsE,EAAE,OAAO1sB,EAAE,KAAK,KAAK8K,GAAGnjC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,KAAK,KAAK,IAAI,CAAC,CAAC,EAAEuqD,GAAG,UAAU,WAAW7zB,GAAE,cAAc6zB,EAAE,EAAE,SAASC,GAAGtrD,EAAE,EAAE,eAAe,CAAC,IAAIE,EAAEI,EAAE,GAAG0nD,GAAG,CAAC,EAAEhoD,EAAE,SAAS,EAAEE,EAAEF,EAAE,GAAGM,EAAEN,EAAE,WAAW,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQA,EAAE,MAAM,IAAI,IAAI,GAAG,IAAI,gBAAgB,CAAC,IAAIO,EAAEsoD,GAAG7oD,EAAE,CAAC,EAAEE,EAAEF,EAAE,GAAGO,EAAED,EAAEN,EAAE,GAAGO,CAAC,SAAS,IAAI,eAAe,CAAC,IAAIA,EAAEsoD,GAAG7oD,EAAE,EAAEA,EAAE,OAAO,CAAC,EAAEE,EAAEF,EAAEA,EAAE,OAAO,GAAGO,EAAED,EAAEN,EAAEA,EAAE,OAAO,GAAGO,CAAC,MAAM,CAAC,IAAIA,EAAEsoD,GAAG7oD,CAAC,EAAEE,EAAE,KAAK,KAAKK,CAAC,EAAED,EAAE,KAAK,KAAKC,CAAC,CAAC,CAAC,MAAM,CAACL,EAAEI,CAAC,CAAC,CAAC,IAAIirD,GAAG,cAAcT,EAAE,CAAC,YAAYhqD,EAAE,CAAC,GAAG,MAAM,EAAEA,EAAE,MAAM,EAAE,MAAM,IAAI+kD,EAAE,wCAAwC/kD,EAAE,OAAO,EAAE,KAAK,MAAMA,EAAE,OAAO,KAAK,EAAEA,EAAE,MAAM,KAAK,KAAKA,EAAE,MAAM,KAAK,QAAQA,EAAE,KAAK8pD,GAAG,KAAK,IAAI,EAAE,KAAK,aAAa9pD,EAAE,cAAc,KAAK,SAASA,EAAE,aAAa+pD,GAAG,KAAK,YAAY,EAAE,KAAK,KAAK/pD,EAAE,IAAI,CAAC,MAAMA,EAAEZ,EAAE,CAAC,IAAI,EAAEorD,GAAGxqD,CAAC,EAAEP,EAAE,EAAE,GAAGwB,EAAE,EAAE,GAAGC,EAAE,KAAK,MAAM,GAAG,KAAK,OAAO,QAAQA,GAAG,KAAK,IAAI,EAAEzB,CAAC,EAAE,KAAK,OAAO,SAASyB,GAAG,KAAK,IAAI,EAAED,CAAC,EAAEC,GAAG,KAAK,IAAI,GAAGzB,EAAEwB,GAAG,CAAC,EAAE,KAAK,eAAe,SAAS,CAAC,IAAIE,EAAE,KAAK,KAAKD,CAAC,EAAE,GAAG9B,EAAEA,GAAG,UAAUA,IAAI,WAAWA,IAAI,QAAQ,MAAM,IAAI4lD,GAAG,GAAG,KAAK,aAAa,4BAA4B5lD,IAAI,EAAE,OAAOswC,GAAG1vC,EAAE,EAAEmB,EAAE/B,EAAE,KAAK,IAAI,CAAC,KAAK,CAAC,IAAI+B,EAAE,KAAK,KAAK,EAAED,CAAC,EAAE,OAAO8pC,GAAGhrC,EAAE,CAACmB,EAAEA,EAAE/B,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,MAAM,KAAK,MAAM,KAAK,KAAK,KAAK,aAAa,KAAK,aAAa,KAAK,KAAK,IAAI,CAAC,CAAC,EAAEqrD,GAAG,UAAU,kBAAkB/zB,GAAE,cAAc+zB,EAAE,EAAE,IAAIC,GAAG,cAAcD,EAAE,CAAC,YAAYzqD,EAAE,CAAC,MAAM,CAAC,MAAM,EAAE,KAAK,SAAS,aAAa,UAAU,KAAKA,GAAG,KAAK,KAAKA,EAAE,IAAI,CAAC,CAAC,CAAC,cAAc,CAAC,OAAOyqD,GAAG,SAAS,CAAC,EAAEC,GAAG,UAAU,gBAAgBh0B,GAAE,cAAcg0B,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAYzqD,EAAE,CAAC,MAAM,CAAC,MAAM,EAAE,KAAK,SAAS,aAAa,SAAS,KAAKA,GAAG,KAAK,KAAKA,EAAE,IAAI,CAAC,CAAC,CAAC,cAAc,CAAC,OAAOyqD,GAAG,SAAS,CAAC,EAAEE,GAAG,UAAU,eAAej0B,GAAE,cAAci0B,EAAE,EAAE,IAAIC,GAAG,cAAcH,EAAE,CAAC,YAAYzqD,EAAE,CAAC,MAAM,CAAC,MAAM,EAAE,KAAK,QAAQ,aAAa,SAAS,KAAKA,GAAG,KAAK,KAAKA,EAAE,IAAI,CAAC,CAAC,CAAC,cAAc,CAAC,OAAOyqD,GAAG,SAAS,CAAC,EAAEG,GAAG,UAAU,WAAWl0B,GAAE,cAAck0B,EAAE,EAAE,IAAIC,GAAG,cAAcJ,EAAE,CAAC,YAAYzqD,EAAE,CAAC,MAAM,CAAC,MAAM,EAAE,KAAK,QAAQ,aAAa,UAAU,KAAKA,GAAG,KAAK,KAAKA,EAAE,IAAI,CAAC,CAAC,CAAC,cAAc,CAAC,OAAOyqD,GAAG,SAAS,CAAC,EAAEI,GAAG,UAAU,YAAYn0B,GAAE,cAAcm0B,EAAE,EAAE,IAAIC,GAAG,cAAcL,EAAE,CAAC,YAAYzqD,EAAE,CAAC,MAAM,CAAC,MAAM,EAAE,KAAK,QAAQ,aAAa,SAAS,KAAKA,GAAG,KAAK,KAAKA,EAAE,IAAI,CAAC,CAAC,CAAC,cAAc,CAAC,OAAOyqD,GAAG,SAAS,CAAC,EAAEK,GAAG,UAAU,cAAcp0B,GAAE,cAAco0B,EAAE,EAAE,IAAIC,GAAG,cAAcN,EAAE,CAAC,YAAYzqD,EAAE,CAAC,MAAM,CAAC,MAAM,EAAE,KAAK,QAAQ,aAAa,UAAU,KAAKA,GAAG,KAAK,KAAKA,EAAE,IAAI,CAAC,CAAC,CAAC,cAAc,CAAC,OAAOyqD,GAAG,SAAS,CAAC,EAAEM,GAAG,UAAU,cAAcr0B,GAAE,cAAcq0B,EAAE,EAAE,IAAIC,GAAG,cAAchB,EAAE,CAAC,YAAYhqD,EAAE,CAAC,GAAG,MAAM,EAAE,KAAK,aAAa,EAAE,KAAK,KAAKA,EAAE,MAAM,KAAK,KAAK,aAAaA,EAAE,KAAK,KAAK,KAAKA,EAAE,KAAK,KAAK,MAAM,KAAK,MAAM,IAAIglD,GAAG,gEAAgE,CAAC,CAAC,MAAMhlD,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,GAAG1yB,EAAE,OAAO,EAAE,MAAM,IAAIglD,GAAG,4BAA4B,EAAEhlD,EAAE,GAAGA,EAAE,GAAG,KAAK,QAAQ,KAAK,2EAA2EA,EAAE,GAAGA,EAAE,oCAAoC,EAAE,IAAI,EAAEA,EAAE,GAAGA,EAAE,GAAG,CAACA,EAAE,GAAGA,EAAE,EAAE,EAAEA,EAAEP,EAAEwpD,GAAG,EAAE,EAAE,EAAE,SAAS,EAAEhoD,EAAEs3C,GAAG,YAAY94C,CAAC,EAAE,OAAOO,EAAE,GAAGA,EAAE,KAAKiB,EAAE6yB,GAAG7yB,CAAC,GAAGo3B,EAAE,KAAK,KAAKp3B,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,IAAI,CAAC,CAAC,EAAE+pD,GAAG,UAAU,aAAat0B,GAAE,cAAcs0B,EAAE,EAAE,IAAIC,GAAG,CAAC,SAAS,WAAW,aAAa,eAAe,cAAc,gBAAgB,SAAS,WAAW,UAAU,YAAY,SAAS,WAAW,YAAY,cAAc,aAAa,eAAe,KAAK,OAAO,WAAW,aAAa,aAAa,eAAe,cAAc,gBAAgB,gBAAgB,kBAAkB,gBAAgB,kBAAkB,MAAM,OAAO,EAAE,SAASC,GAAGhsD,EAAE,EAAE,CAAC,EAAE,CAAC,OAAO2mD,GAAG3mD,EAAEw3B,GAAE,iBAAiB,OAAO,EAAE,aAAa,EAAE,aAAa,CAAC,CAAC,SAASy0B,GAAGjsD,EAAE,CAAC,OAAOymD,GAAGzmD,CAAC,CAAC,CAAC,SAASksD,GAAGlsD,EAAE,CAAC,GAAG,OAAOA,GAAG,SAAS,CAAC,IAAI,EAAEA,KAAK+rD,GAAGA,GAAG/rD,GAAGA,EAAE,GAAG,IAAI,eAAe,OAAO,IAAIyrD,GAAG,GAAG,IAAI,gBAAgB,OAAO,IAAID,GAAG,GAAG,IAAI,WAAW,OAAO,IAAIE,GAAG,GAAG,IAAI,YAAY,OAAO,IAAIC,GAAG,GAAG,IAAI,cAAc,OAAO,IAAIC,GAAG,GAAG,IAAI,eAAe,OAAO,IAAIC,GAAG,CAAC,IAAI3rD,EAAE,CAAC,EAAE,OAAOA,EAAE,UAAU,EAAEA,EAAE,OAAO,CAAC,EAAE8rD,GAAG9rD,CAAC,CAAC,CAAC,KAAM,QAAOF,aAAa8qD,GAAG9qD,EAAEgsD,GAAGhsD,CAAC,CAAC,CAAC,SAASmsD,GAAGnsD,EAAE,CAAC,OAAO,MAAM,QAAQA,CAAC,GAAG,MAAM,QAAQA,EAAE,EAAE,CAAC,CAAC,SAASosD,GAAGpsD,EAAE,CAAC,OAAOA,EAAE,SAAS,EAAE,CAAC,EAAE,MAAM,QAAQA,EAAE,EAAE,EAAEA,EAAE,CAACA,CAAC,CAAC,CAAC,SAASqsD,GAAGrsD,EAAE,CAAC,IAAI,EAAE,GAAG,MAAM,QAAQA,CAAC,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI6lD,EAAE,uCAAuC7lD,EAAE,QAAQ,EAAE,EAAEA,EAAE,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,CAAC,SAASssD,GAAGtsD,EAAE,CAAC,GAAG,MAAM,QAAQA,CAAC,GAAG,MAAM,QAAQA,EAAE,EAAE,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAOA,EAAEA,EAAEA,EAAE,GAAG,MAAM,IAAI6lD,EAAE,iCAAiC7lD,EAAE,QAAQ,CAAC,KAAM,QAAOA,CAAC,CAAC,SAASusD,GAAGvsD,EAAE,CAAC,IAAI,EAAE,EAAE,QAAQE,KAAKF,EAAEE,EAAE,MAAM,SAAS,EAAE,GAAG,EAAE,GAAGA,EAAE,MAAM,OAAO,CAACI,EAAEC,IAAID,EAAEC,CAAC,EAAE,OAAO,CAAC,CAAC,IAAIisD,GAAG,WAAWC,GAAG,KAAK,CAAC,YAAY3rD,EAAEZ,EAAE,UAAU,EAAEssD,GAAGjsD,EAAE,GAAGwB,EAAE,KAAK,CAAC,KAAK,MAAM7B,GAAG,KAAK,UAAUA,EAAE,KAAK,MAAMY,EAAE,MAAM,KAAK,GAAGymD,GAAG,EAAE,EAAE,GAAG,KAAKiF,GAAG,EAAE,KAAK,aAAahE,GAAG,CAAC,EAAE,KAAK,KAAKE,GAAG,KAAK,YAAY,EAAE,KAAK,WAAWnoD,EAAE,KAAK,WAAWwB,EAAE,KAAK,IAAIivC,GAAGlwC,EAAE,KAAK,WAAW,KAAK,KAAK,KAAK,KAAK,CAAC,CAAC,MAAM,CAAC,OAAO,KAAK,kBAAkB,EAAE,KAAK,GAAG,CAAC,MAAMA,EAAE,CAAC,OAAO,KAAK,kBAAkB,EAAE4rD,GAAG,KAAK,IAAI5rD,CAAC,EAAE,KAAK,IAAI,KAAKA,EAAE,KAAK,KAAK,IAAI,OAAOA,CAAC,EAAE,KAAK,YAAY,MAAM,KAAK,IAAI,OAAO,KAAK,WAAW,MAAM,KAAK,GAAG,CAAC,GAAG,IAAI,CAAC,SAAS,CAAC,KAAK,kBAAkB,EAAE,KAAK,IAAI,QAAQ,CAAC,CAAC,mBAAmB,CAAC,GAAG,KAAK,IAAI,WAAW,MAAM,IAAI,MAAM,kBAAkB,KAAK,2BAA2B,CAAC,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,UAAU,CAAC,IAAI,UAAUA,EAAE,CAAC,KAAK,WAAWA,EAAE,KAAK,IAAI,UAAUA,CAAC,CAAC,EAAE,SAAS4rD,GAAG1sD,EAAE,EAAE,CAAC,GAAGA,EAAE,MAAM,SAAS,IAAI,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,mBAAmB,KAAK,UAAUA,EAAE,KAAK,EAAE,QAAQ,KAAK,UAAU,EAAE,KAAK,CAAC,CAAC,CAAC,SAAS2sD,GAAG3sD,EAAE,CAAC,OAAOA,EAAE,IAAI,GAAG,EAAE,KAAK,CAAC,CAAC,CAAC,SAAS4sD,GAAG5sD,EAAE,CAACA,EAAE,QAAQ,GAAG,CAAC,EAAE,GAAG,MAAM,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI6sD,GAAG,KAAK,CAAC,YAAY/rD,EAAE,CAAC,KAAK,MAAMA,EAAE,MAAM,KAAK,MAAMA,EAAE,MAAMA,EAAE,OAAO,KAAK,KAAK,KAAKA,EAAE,MAAM,OAAO,KAAK,KAAKA,EAAE,KAAK,KAAK,QAAQA,EAAE,QAAQ,KAAK,QAAQA,EAAE,QAAQ,KAAK,KAAKA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEgsD,GAAG,KAAK,CAAC,YAAYhsD,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAEC,EAAE,CAAC,KAAK,MAAMnB,EAAE,KAAK,MAAMZ,EAAE,KAAK,YAAY,EAAE,KAAK,OAAOK,EAAE,KAAK,SAASwB,EAAE,KAAK,kBAAkBE,EAAE,KAAK,GAAGslD,GAAG,EAAEvlD,GAAG,OAAO,KAAK,aAAawmD,GAAGxmD,CAAC,EAAE,KAAK,KAAK0mD,GAAG,KAAK,YAAY,GAAG,KAAK,KAAKxoD,EAAE,MAAM,CAAC,EAAE6sD,GAAG,EAAEC,GAAG,KAAK,CAAC,YAAYlsD,EAAEZ,EAAE,CAAC,KAAK,SAASA,EAAE,KAAK,GAAG6sD,KAAK,KAAK,cAAcjsD,EAAE,cAAc,KAAK,cAAcA,EAAE,cAAc,KAAK,YAAYA,EAAE,YAAY,KAAK,cAAcA,EAAE,cAAc,KAAK,aAAaA,EAAE,aAAa,KAAK,cAAcA,EAAE,cAAc,KAAK,WAAWA,EAAE,WAAW,KAAK,YAAYA,EAAE,YAAY,KAAK,YAAYA,EAAE,YAAY,KAAK,aAAaA,EAAE,aAAa,QAAQ,KAAKA,EAAE,cAAc,GAAG,MAAM,EAAE,cAAc,KAAK,IAAI,EAAEA,EAAE,cAAc,aAAa,KAAK,IAAI,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQZ,KAAK,KAAK,cAAcA,GAAG,KAAKY,EAAE,KAAKZ,EAAE,IAAI,EAAEY,EAAE,KAAK,IAAI,EAAE,MAAM,CAAC,cAAc,KAAK,cAAc,KAAK,cAAc,KAAK,KAAK,cAAcA,EAAE,YAAY,KAAK,YAAY,cAAc,KAAK,aAAa,CAAC,CAAC,EAAEmsD,GAAG,EAAEC,GAAG,cAAc11B,GAAE,YAAY,CAAC,YAAY12B,EAAE,CAAC,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,KAAK,kBAAkB,CAAC,EAAE,KAAK,UAAU,GAAG,KAAK,GAAGmsD,KAAK,KAAK,oBAAoB,KAAK,KAAK,UAAU,KAAK,KAAK,gBAAgB,GAAG,KAAK,kBAAkB,CAAC,EAAE,KAAK,qBAAqB,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAE,KAAK,SAAS,CAAC,EAAE,KAAK,OAAO,GAAG,KAAK,aAAa,CAAC,EAAE,KAAK,cAAc,CAAC,EAAE,IAAI/sD,EAAEY,EAAE,KAAK,GAAG,CAACZ,EAAE,CAAC,IAAI,EAAE,KAAK,aAAa,EAAEA,EAAEomD,GAAG,CAAC,EAAE,IAAImB,GAAG,CAAC,CAAC,CAAC,GAAG,KAAK,KAAKvnD,EAAE,KAAK,WAAWY,EAAE,WAAW,KAAK,GAAGA,EAAE,UAAUA,EAAE,YAAY,MAAMA,EAAE,iBAAiB,KAAK,CAAC,IAAI,EAAE,GAAGA,EAAE,iBAAiB,KAAK,EAAEA,EAAE,wBAAwBA,EAAE,YAAY,KAAK,CAAC,IAAIiB,EAAE,KAAKjB,EAAE,WAAW,OAAOiB,EAAEjB,EAAE,WAAW,EAAE,CAACiB,CAAC,EAAE,OAAOjB,EAAE,UAAU,CAAC,CAAC,KAAK,gBAAgB,EAAE,IAAIP,EAAEO,EAAE,MAAMP,GAAG,OAAOA,EAAEO,EAAE,YAAYP,GAAG,OAAOA,EAAE,WAAW,KAAK,MAAMA,CAAC,CAACO,EAAE,SAAS,KAAK,KAAK,eAAeA,EAAE,QAAQ,KAAK,eAAe,KAAK,KAAK,UAAU,KAAK,KAAK,0BAA0B,EAAE,CAAC,OAAO,QAAQA,EAAEZ,EAAE,CAAC,OAAOY,EAAE,KAAK,OAAOZ,EAAE,SAAS,CAAC,CAAC,eAAeY,EAAEZ,EAAE,CAAC,GAAG,KAAK,aAAa,SAAS,EAAE,MAAM,IAAI0lD,GAAG,2DAA2D1lD,IAAI,EAAE,GAAG,KAAK,aAAa,QAAQY,EAAE,MAAM,IAAI+kD,EAAE,gBAAgB3lD,aAAaY,6BAA6B,KAAK,aAAa,uBAAuB,EAAE,OAAO,KAAK,aAAaA,EAAE,CAAC,WAAWA,EAAE,CAAC,OAAOslD,GAAG,KAAK,eAAetlD,EAAE,OAAO,EAAE,YAAY,CAAC,CAAC,YAAYA,EAAE,CAAC,OAAOslD,GAAG,KAAK,eAAetlD,EAAE,QAAQ,EAAE,aAAa,CAAC,CAAC,IAAI,OAAO,CAAC,GAAG,KAAK,aAAa,OAAO,EAAE,MAAM,IAAI6kD,GAAG,SAAS,KAAK,2HAA2H,EAAE,GAAG,KAAK,aAAa,SAAS,EAAE,MAAM,IAAIA,GAAG,SAAS,KAAK,4CAA4C,EAAE,OAAOS,GAAG,KAAK,eAAe,EAAE,OAAO,EAAE,YAAY,CAAC,CAAC,IAAI,QAAQ,CAAC,GAAG,KAAK,aAAa,SAAS,EAAE,MAAM,IAAIT,GAAG,SAAS,KAAK,4BAA4B,EAAE,GAAG,KAAK,aAAa,OAAO,EAAE,MAAM,IAAIA,GAAG,SAAS,KAAK,6HAA6H,EAAE,OAAOS,GAAG,KAAK,eAAe,EAAE,QAAQ,EAAE,aAAa,CAAC,CAAC,IAAI,QAAQ,CAAC,OAAO,KAAK,OAAO,CAAC,iBAAiB,CAAC,OAAO,KAAK,OAAO,IAAItlD,GAAGA,EAAE,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,OAAO,KAAK,QAAQ,CAAC,IAAI,OAAO,CAAC,OAAO,KAAK,MAAM,CAAC,IAAI,MAAMA,EAAE,CAAC,KAAK,OAAOA,CAAC,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,UAAU,CAAC,IAAI,UAAUA,EAAE,CAAC,KAAK,kBAAkB,QAAQZ,GAAGA,EAAE,UAAUY,CAAC,EAAE,KAAK,WAAWA,CAAC,CAAC,IAAI,kBAAkB,CAAC,OAAO,KAAK,WAAW,KAAK,kBAAkB,OAAOA,GAAGA,EAAE,SAAS,EAAE,CAAC,CAAC,CAAC,IAAI,iBAAiBA,EAAE,CAAC,KAAK,kBAAkBA,CAAC,CAAC,IAAI,qBAAqB,CAAC,OAAO,KAAK,UAAU,KAAK,kBAAkB,OAAOA,GAAG,CAACA,EAAE,SAAS,EAAE,OAAO,KAAK,oBAAoB,EAAE,KAAK,kBAAkB,OAAO,KAAK,oBAAoB,CAAC,CAAC,IAAI,oBAAoBA,EAAE,CAAC,KAAK,qBAAqBA,CAAC,CAAC,IAAI,SAAS,CAAC,OAAO,KAAK,iBAAiB,OAAO,KAAK,mBAAmB,CAAC,CAAC,IAAI,UAAU,CAAC,OAAO,KAAK,SAAS,CAAC,aAAa,CAAC,GAAG,CAAC,KAAK,SAAS,MAAM,IAAI,MAAM,sEAAsE,CAAC,CAAC,yBAAyBA,EAAE,CAAC,GAAGA,EAAEulD,GAAGvlD,CAAC,EAAE,KAAK,WAAW,MAAM,KAAK,UAAU,SAAS,EAAE,OAAO,IAAIZ,EAAEmmD,GAAG,KAAK,SAAS,EAAE,GAAGvlD,EAAE,SAASZ,EAAE,OAAO,MAAM,IAAI2lD,EAAE,SAAS,KAAK,gBAAgB3lD,EAAE,kCAAkCY,EAAE,yCAAyCA,GAAG,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,IAAI,CAAC,IAAIP,EAAEO,EAAE,GAAGiB,EAAE7B,EAAE,GAAG,GAAG6B,GAAG,KAAK,SAAS,IAAIC,EAAEzB,EAAE,KAAK,GAAGwB,EAAE,MAAM,MAAMC,IAAID,EAAE,KAAK,MAAM,IAAI8jD,EAAE,SAAS,gCAAgC,KAAK,uBAAuB9jD,EAAE,oBAAoBC,GAAG,EAAE,GAAGD,EAAE,SAAS,MAAMC,EAAED,EAAE,QAAQ,MAAM,IAAI8jD,EAAE,SAAS,gCAAgC,KAAK,2BAA2B9jD,EAAE,uBAAuBC,GAAG,EAAE,GAAGD,EAAE,SAAS,MAAMC,EAAED,EAAE,QAAQ,MAAM,IAAI8jD,EAAE,SAAS,gCAAgC,KAAK,2BAA2B9jD,EAAE,uBAAuBC,IAAI,EAAE,GAAGD,EAAE,OAAO,MAAMxB,EAAE,QAAQwB,EAAE,MAAM,MAAM,IAAI8jD,EAAE,SAAS,gCAAgC,KAAK,yBAAyB9jD,EAAE,sBAAsBxB,EAAE,QAAQ,EAAE,GAAGwB,EAAE,KAAK,CAAC,IAAIE,EAAE1B,EAAE,MAAM,QAAQ2B,KAAKH,EAAE,KAAK,CAAC,IAAI,EAAE,OAAOG,CAAC,EAAEU,EAAEb,EAAE,KAAKG,GAAG,EAAE,GAAG,EAAED,EAAE,GAAGA,EAAEA,EAAE,OAAO,GAAG,GAAGW,GAAG,MAAM,CAACA,EAAE,IAAI,EAAE,QAAQ,CAAC,IAAI,GAAG,MAAM,IAAIijD,EAAE,SAAS,gCAAgC,KAAK,uBAAuB,kCAAkCjjD,mBAAmBX,IAAI,CAAC,CAAC,CAAC,GAAGF,EAAE,OAAO,KAAK,QAAQE,EAAE,EAAEA,EAAEF,EAAE,MAAM,OAAO,EAAEE,EAAE,CAAC,IAAIC,EAAEH,EAAE,MAAME,GAAG,EAAE1B,EAAE,MAAM0B,GAAG,GAAGC,GAAG,MAAM,GAAG,MAAMA,IAAI,EAAE,MAAM,IAAI2jD,EAAE,SAAS,gCAAgC,KAAK,wBAAwB9jD,EAAE,sBAAsBxB,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,KAAKO,EAAEZ,EAAE,CAAC,OAAOY,CAAC,CAAC,eAAeA,EAAEZ,EAAE,CAAC,KAAK,WAAW,MAAM,KAAK,UAAUY,EAAEZ,CAAC,CAAC,CAAC,YAAYY,EAAE,CAAC,KAAK,UAAUA,CAAC,CAAC,eAAe,CAAC,KAAK,UAAU,IAAI,CAAC,MAAMA,EAAEZ,EAAE,CAACA,EAAEA,GAAG,CAAC,EAAE,KAAK,kBAAkB,EAAE,IAAI,EAAEmmD,GAAGvlD,CAAC,EAAEP,EAAE,GAAG,QAAQyB,KAAK,EAAE,GAAG,EAAEA,aAAa8qD,IAAI,CAACvsD,EAAE,GAAG,KAAK,CAAC,IAAIwB,EAAE,GAAG,QAAQC,KAAK,EAAE,GAAGA,aAAa8qD,GAAG,CAAC/qD,EAAE,GAAG,KAAK,CAAC,GAAGxB,IAAIwB,EAAE,MAAM,IAAI8jD,EAAE,iEAAiE,EAAE,OAAOyC,GAAG,KAAK,KAAK,IAAI,CAAC,GAAG,CAAC,KAAK,MAAM,CAAC,KAAK,yBAAyBxnD,CAAC,EAAE,IAAIkB,EAAE,CAAC,EAAE,QAAQC,KAAKokD,GAAGvlD,CAAC,EAAEkB,EAAE,KAAKC,EAAE,KAAK,EAAE,KAAK,MAAMmkD,GAAGpkD,CAAC,CAAC,EAAE,KAAK,MAAM,GAAG,KAAK,gBAAgB,KAAK,WAAW,KAAK,cAAc,EAAE,KAAK,YAAY,MAAMD,IAAI,KAAK,UAAU,EAAE,CAAC,GAAG,KAAK,yBAAyBjB,CAAC,EAAEiB,EAAE,CAAC,IAAIC,EAAE,KAAK,KAAKlB,EAAEZ,CAAC,EAAE+B,EAAEokD,GAAGrkD,CAAC,EAAEE,EAAE,CAAC,EAAE,QAAQ,KAAKD,EAAE,EAAE,QAAQ,CAAC,IAAI,KAAK,EAAE,EAAE,MAAM,GAAGC,EAAE,KAAK,CAAC,EAAE,GAAGF,EAAEokD,GAAGlkD,CAAC,EAAE,KAAK,qBAAqB,KAAK,MAAM,IAAI4jD,GAAG,mFAAmF,EAAE,OAAO9jD,CAAC,KAAK,CAAC,IAAIA,EAAEmrD,GAAGrsD,CAAC,EAAEmB,EAAE,KAAK,mBAAmBD,CAAC,EAAEE,EAAE,EAAEkrD,GAAGtsD,CAAC,EAAE,GAAG,KAAK,6BAA6B,MAAM,QAAQA,CAAC,EAAEkB,EAAE,GAAGA,CAAC,EAAEC,GAAG,MAAMA,EAAE,OAAO,GAAG,MAAM,QAAQA,EAAE,EAAE,EAAEC,EAAED,EAAE,IAAI,CAACW,EAAE,IAAI,IAAIkqD,GAAG,EAAElqD,EAAE,KAAKyjD,GAAGvlD,CAAC,EAAEZ,EAAE,KAAK,KAAK,CAAC,CAAC,EAAEgC,EAAE,IAAI4qD,GAAG,EAAE7qD,EAAE,KAAKokD,GAAGvlD,CAAC,EAAEZ,EAAE,KAAK,IAAI,EAAE,KAAK,eAAeY,EAAEoB,EAAE,KAAK,KAAKF,EAAEC,EAAE/B,CAAC,EAAE,KAAK,YAAY,KAAK,qBAAqB,KAAK,MAAM,IAAI4lD,GAAG,mFAAmF,EAAE,OAAO5jD,CAAC,CAAC,CAAC,CAAC,CAAC,6BAA6BpB,EAAE,CAAC,GAAG,KAAK,iBAAiB,KAAK,GAAGA,EAAE,SAAS,KAAK,gBAAgB,OAAO,QAAQ,KAAK,iDAAiD,KAAK,UAAUA,CAAC,kDAAkD,KAAK,UAAU,KAAK,eAAe,mBAAmB,KAAK,MAAM,MAAM,CAAC,IAAIZ,EAAE,GAAG,KAAK,gBAAgB,QAAQ,CAAC,EAAEK,IAAI,CAAC,GAAG,MAAMO,EAAEP,IAAI,MAAMO,EAAEP,KAAK,IAAIL,EAAE,GAAG,CAAC,EAAEA,GAAG,QAAQ,KAAK,kCAAkC,KAAK,UAAUY,CAAC,8CAA8C,KAAK,SAAS,KAAK,UAAU,KAAK,eAAe,GAAG,CAAC,CAAC,CAAC,IAAI,aAAa,CAAC,GAAG,KAAK,cAAc,MAAM,KAAK,aAAa,SAAS,EAAE,MAAM,IAAI6kD,GAAG,aAAa,KAAK,kEAAkE,EAAE,IAAI7kD,EAAE,CAAC,EAAE,QAAQZ,KAAK,KAAK,aAAa,CAAC,IAAI,EAAE,KAAK,UAAUA,EAAE,YAAY,EAAEY,EAAE,QAAQ,CAAC,IAAI,IAAIA,EAAE,KAAK,CAAC,CAAC,CAAC,GAAGA,EAAE,SAAS,EAAE,CAAC,IAAIZ,EAAE,KAAK,aAAa,GAAG,aAAa,OAAO,MAAM,QAAQA,CAAC,GAAG,MAAM,QAAQA,EAAE,EAAE,GAAGA,EAAE,SAAS,EAAEA,EAAE,GAAGA,CAAC,KAAM,OAAM,IAAIylD,GAAG,aAAa,KAAK,gIAAgI,CAAC,CAAC,aAAa,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,IAAIC,GAAG,sCAAsC,KAAK,yFAAyF,EAAE,OAAO2G,GAAG,KAAK,OAAO,CAAC,CAAC,MAAMzrD,EAAE,CAAC,KAAK,MAAM,EAAE,CAAC,WAAWA,EAAE,GAAG,CAAC,OAAO6rD,GAAG7rD,EAAE,KAAK,iBAAiB,KAAK,OAAO,CAAC,CAAC,WAAWA,EAAE,CAAC0yB,EAAE,IAAI,CAAC,IAAItzB,EAAE,KAAK,QAAQ,GAAGA,EAAE,SAASY,EAAE,OAAO,MAAM,IAAI+kD,EAAE,4CAA4C,KAAK,sCAAsC/kD,EAAE,uCAAuCZ,EAAE,qCAAqCY,MAAM,EAAE,GAAGZ,EAAE,SAAS,EAAE,OAAO,IAAI,EAAE,CAAC,EAAEK,EAAEosD,GAAGzsD,CAAC,EAAE,QAAQ6B,EAAE,EAAEA,EAAExB,EAAE,OAAO,EAAEwB,EAAE,CAAC,IAAIC,EAAEzB,EAAEwB,GAAGE,EAAE/B,EAAE6B,GAAGG,EAAEpB,EAAEiB,GAAG,GAAG,CAAC8kB,EAAE,YAAY7kB,EAAE,MAAME,EAAE,KAAK,EAAE,MAAM,IAAI2jD,EAAE,sBAAsB7jD,EAAE,mDAAmDE,EAAE,OAAO,EAAE,EAAE,KAAK,CAACD,EAAEC,CAAC,CAAC,CAAC,CAAC0qD,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,UAAU9rD,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAEC,EAAEC,EAAE,CAAC,GAAG,KAAK,kBAAkB,QAAQpB,CAAC,IAAI,GAAG,MAAM,IAAI+kD,EAAE,yBAAyB/kD,eAAe,KAAK,MAAM,EAAE,KAAK,kBAAkB,KAAKA,CAAC,EAAE,GAAG,OAAO,EAAE,WAAW,KAAK,4BAA4BP,EAAE2B,GAAG,KAAKA,EAAE,EAAEgqD,GAAG,OAAO,GAAG,IAAI,EAAE3rD,EAAE,MAAML,EAAE,CAAC,EAAE0C,EAAE,IAAI6pD,GAAG,EAAE,EAAE3rD,EAAEkB,EAAEC,CAAC,EAAE,OAAO,EAAE,QAAQ,EAAEF,GAAG,MAAM,KAAK,QAAQ,IAAIA,EAAE,MAAMa,EAAE,KAAK,CAAC,CAAC,EAAEZ,GAAG,OAAOA,EAAE,IAAIA,EAAE,KAAK,kBAAkB,KAAKY,CAAC,EAAE,KAAK,qBAAqB,KAAKA,CAAC,EAAEA,CAAC,CAAC,6BAA6B9B,EAAE,CAAC,KAAK,0BAA0BA,CAAC,CAAC,QAAQA,EAAE,CAACA,GAAG,MAAM,MAAM,QAAQA,CAAC,GAAGA,EAAE,SAAS,IAAIA,EAAEulD,GAAGvlD,CAAC,EAAE,KAAK,UAAU,QAAQ,KAAK,UAAU,MAAM,KAAK,OAAO,KAAK,GAAGA,CAAC,EAAE,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,CAAC,CAAC,YAAYA,EAAEZ,EAAE,CAAC,GAAG,CAAC,KAAK,gBAAgB,CAAC,GAAGA,GAAG,KAAK,GAAG,MAAM,QAAQA,CAAC,EAAEA,EAAE,QAAQ,GAAG,CAAC,GAAG,GAAG,KAAK,MAAM,IAAI,UAAU,SAAS,KAAK,6DAA6D,CAAC,CAAC,MAAO,OAAM,IAAI,UAAU,SAAS,KAAK,6DAA6D,EAAE,OAAO,IAAI,CAAC,OAAOA,CAAC,CAAC,eAAeY,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAEC,EAAE,KAAK,CAAC,IAAIC,EAAEmkD,GAAGvlD,CAAC,EAAEZ,EAAEmmD,GAAGnmD,CAAC,EAAE,EAAEmmD,GAAG,CAAC,EAAE9lD,EAAE8lD,GAAG9lD,CAAC,EAAEwB,EAAEqqD,GAAGrqD,CAAC,EAAEC,EAAEoqD,GAAGpqD,CAAC,EAAE,IAAI,EAAE,CAAC,EAAEY,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQE,KAAKZ,EAAE,EAAE,KAAKY,EAAE,WAAW,EAAEF,EAAE,KAAKE,EAAE,SAAS,EAAE,EAAE,KAAKA,EAAE,WAAW,EAAE,IAAIkqD,GAAG,CAAC,cAAc,KAAK,cAAc,EAAE,YAAYpqD,EAAE,cAAc,EAAE,aAAaV,EAAE,cAAchC,EAAE,WAAW,EAAE,YAAYK,EAAE,YAAYwB,EAAE,aAAaC,CAAC,EAAEC,CAAC,EAAE,QAAQa,EAAE,EAAEA,EAAE5C,EAAE,OAAO4C,IAAI5C,EAAE4C,GAAG,YAAY,KAAK5C,EAAE4C,GAAG,UAAU,KAAK,aAAa,OAAO,EAAE5C,EAAE4C,GAAG,YAAYA,CAAC,CAAC,WAAW,CAAC,IAAIhC,EAAE,CAAC,KAAK,KAAK,KAAK,UAAU,KAAK,SAAS,EAAE,OAAO,KAAK,iBAAiB,OAAOA,EAAE,gBAAgB,KAAK,iBAAiB,KAAK,OAAO,OAAOA,EAAE,MAAM,KAAK,OAAOA,CAAC,CAAC,gBAAgB,CAAC,OAAO,KAAK,QAAQ,QAAQA,GAAGA,EAAE,QAAQ,CAAC,EAAE,KAAK,QAAQ,MAAM,CAAC,mBAAmB,CAAC,GAAG,KAAK,YAAY,EAAE,MAAM,IAAI,MAAM,UAAU,KAAK,4BAA4B,CAAC,CAAC,SAAS,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,IAAI,MAAM,wBAAwB,KAAK,yCAAyC,EAAE,GAAG,KAAK,YAAY,KAAK,MAAM,IAAI,MAAM,wBAAwB,KAAK,wCAAwC,EAAE,KAAK,kBAAkB,EAAE,IAAIA,EAAE,EAAE,MAAM,EAAE,KAAK,YAAY,IAAIA,EAAE,KAAK,eAAe,GAAG,CAAC,qBAAqB,KAAK,UAAU,qBAAqBA,CAAC,CAAC,CAAC,EAAE,SAASqsD,GAAGntD,EAAE,CAACA,EAAEqmD,GAAGrmD,CAAC,EAAE,IAAI,EAAE,CAAC,EAAE,QAAQE,KAAKF,EAAE,EAAE,KAAKE,EAAE,KAAK,EAAE,OAAOkmD,GAAG,CAAC,CAAC,CAAC,SAASgH,GAAGptD,EAAE,CAAC,MAAM,SAAS,CAAC,SAASqtD,GAAGrtD,EAAE,EAAEE,EAAE,CAAC,IAAI,GAAG,MAAMA,GAAG,MAAMA,EAAE,KAAK,EAAEF,EAAE,YAAYE,EAAEF,EAAE,WAAW,EAAE,aAAa,SAAS,EAAE,MAAM,CAACA,CAAC,EAAE,CAAC,IAAIM,EAAE,EAAE,aAAaJ,GAAG,GAAGI,EAAE,cAAc,SAAS,EAAE,OAAOA,EAAE,aAAa,CAAC,IAAIC,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAED,EAAE,cAAc,OAAO,IAAI,CAAC,IAAI,EAAEA,EAAE,aAAa,GAAG2B,EAAE3B,EAAE,cAAc,GAAG4B,EAAE5B,EAAE,YAAY,GAAG6B,EAAEkrD,GAAG,EAAEprD,EAAEC,CAAC,EAAE,QAAQU,KAAKT,EAAE5B,EAAE,QAAQqC,CAAC,IAAI,IAAIrC,EAAE,KAAKqC,CAAC,CAAC,CAAC,OAAOrC,CAAC,CAAC,CAAC,CAAC,IAAI+sD,GAAG,cAAcJ,EAAE,CAAC,YAAYpsD,EAAE,CAAC,GAAG,MAAM,CAAC,MAAMA,EAAE,MAAM,KAAKA,EAAE,MAAM,KAAKA,EAAE,KAAK2mD,GAAG,OAAO,EAAE,SAAS,CAAC,CAAC,EAAE3mD,EAAE,WAAW,OAAOA,EAAE,UAAU,MAAMA,EAAE,QAAQ,OAAOA,EAAE,OAAO,IAAI,KAAK,UAAU,GAAG,KAAK,MAAM,GAAG,KAAK,OAAOA,EAAE,OAAOA,EAAE,YAAY,MAAMA,EAAE,iBAAiB,KAAK,MAAM,IAAI+kD,EAAE,mGAAmG,EAAE,IAAI3lD,EAAEY,EAAE,gBAAgB,GAAGZ,GAAG,KAAK,CAAC,GAAGY,EAAE,YAAY,KAAK,MAAM,IAAI+kD,EAAE,+EAA+E,EAAE3lD,EAAE,CAACY,EAAE,SAAS,EAAE,OAAOA,EAAE,UAAU,CAAC,SAASA,EAAE,WAAW,KAAK,MAAM,IAAI+kD,EAAE,uFAAuF,EAAE,IAAI,EAAE/kD,EAAE,OAAO,UAAU,KAAK,gBAAgBZ,EAAE,KAAK,MAAM,EAAE,KAAK,UAAU,CAAC,CAAC,MAAMA,CAAC,CAAC,EAAE,IAAIK,EAAE,IAAIusD,GAAG,KAAK,MAAM,KAAK,gBAAgB,KAAK,CAAC,EAAE,CAAC,EAAE,KAAK,IAAI,EAAEvsD,EAAE,UAAU,EAAEA,EAAE,YAAY,EAAE,IAAIysD,GAAG,CAAC,cAAc,KAAK,cAAc,CAAC,EAAE,YAAY,CAAC,EAAE,cAAc,CAAC,EAAE,aAAa,CAACzsD,CAAC,EAAE,cAAc,CAACA,CAAC,EAAE,WAAW,CAAC,IAAI,EAAE,YAAY,CAAC,IAAI,EAAE,YAAY,CAACL,CAAC,EAAE,aAAa,CAACA,CAAC,CAAC,CAAC,CAAC,CAAC,MAAMY,EAAEZ,EAAE,CAAC,MAAM,IAAI2lD,EAAE,6EAA6E,KAAK,MAAM,CAAC,CAAC,SAAS,CAAC,MAAM,CAAC,qBAAqB,KAAK,UAAU,qBAAqB,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,gBAAgB,KAAK,gBAAgB,MAAM,KAAK,MAAM,OAAO,KAAK,OAAO,KAAK,KAAK,IAAI,CAAC,CAAC,EAAEyH,GAAG,UAAU,aAAa91B,GAAE,cAAc81B,EAAE,EAAE,SAASC,GAAGvtD,EAAE,CAAC,GAAGA,EAAE,YAAY,MAAMA,EAAE,OAAO,KAAK,MAAM,IAAI,MAAM,8HAA8H,EAAE,GAAGA,EAAE,YAAY,MAAMA,EAAE,OAAO,KAAK,MAAM,IAAI6lD,EAAE,kFAAkF,EAAE,IAAI,EAAE7lD,EAAE,WAAWA,EAAE,OAAO,MAAM,GAAG,OAAO,EAAE,CAAC,IAAI,EAAE,OAAOA,EAAE,KAAK,GAAG,IAAIE,EAAEF,EAAE,MAAM,OAAOE,GAAG,OAAOA,EAAE,WAAW,IAAIotD,GAAG,CAAC,gBAAgB,EAAE,KAAKttD,EAAE,KAAK,MAAME,EAAE,OAAOF,EAAE,MAAM,CAAC,EAAE,aAAa,GAAG,cAAc,EAAE,CAAC,SAASwtD,GAAGxtD,EAAE,EAAE,CAAC,GAAGA,EAAE,OAAO,MAAMA,EAAE,QAAQ,EAAE,MAAM,OAAO,EAAE,GAAG,CAAC,OAAOwwB,GAAE,EAAExwB,EAAE,KAAK,CAAC,OAAOE,EAAN,CAAS,MAAM,IAAI2lD,EAAE,0BAA0B,EAAE,mDAAmD7lD,EAAE,UAAUA,EAAE,SAAS,CAAC,CAAC,CAAC,IAAIytD,GAAG,KAAK,CAAC,YAAY3sD,EAAE,CAAC,GAAG,KAAK,SAAS,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAEA,aAAa2sD,GAAG,QAAQvtD,KAAKY,EAAE,SAAS,KAAK,SAASZ,GAAGY,EAAE,SAASZ,GAAGA,KAAKY,EAAE,UAAU,KAAK,QAAQZ,GAAGY,EAAE,QAAQZ,QAAQ,CAAC,GAAGY,GAAG,KAAK,OAAO,QAAQZ,KAAKY,EAAE,KAAK,IAAIZ,EAAE,IAAIA,EAAE,KAAK,CAAC,CAAC,CAAC,IAAIY,EAAEZ,EAAE,EAAE,CAAC,GAAG,KAAK,SAASY,EAAE,KAAK,KAAK,KAAK,SAASA,EAAE,IAAI0sD,GAAG1sD,EAAEZ,CAAC,EAAE,KAAK,QAAQY,EAAE,MAAMA,EAAE,GAAG,GAAG,OAAO,KAAK,QAAQA,EAAE,IAAI,OAAQ,OAAM,IAAI+kD,EAAE,uBAAuB/kD,EAAE,YAAYA,EAAE,IAAI,EAAE,OAAO,IAAI,CAAC,QAAQA,EAAE,CAAC,KAAK,IAAIA,EAAE,IAAIA,EAAE,KAAK,CAAC,CAAC,OAAOA,EAAE,CAAC,OAAO,KAAK,SAASA,EAAE,KAAK,IAAI,CAAC,OAAO,CAAC,OAAO,OAAO,KAAK,KAAK,OAAO,CAAC,CAAC,SAASA,EAAE,CAAC,GAAGA,aAAagsD,GAAG,CAAC,GAAG,KAAK,SAAShsD,EAAE,KAAK,KAAK,MAAM,IAAI+kD,EAAE,oBAAoB/kD,EAAE,MAAM,EAAE,OAAO,KAAK,SAASA,EAAE,GAAG,KAAK,CAAC,IAAIZ,EAAE,KAAK,QAAQY,GAAG,GAAGZ,GAAG,KAAK,MAAM,IAAI2lD,EAAE,yCAAyC/kD,GAAG,EAAE,OAAO,KAAK,SAASZ,EAAE,CAAC,CAAC,QAAQY,EAAE,CAAC,GAAGA,aAAagsD,GAAG,CAAC,GAAG,KAAK,SAAShsD,EAAE,KAAK,KAAK,MAAM,IAAI+kD,EAAE,oBAAoB/kD,EAAE,MAAM,EAAE,OAAO,KAAK,QAAQA,EAAE,GAAG,KAAK,CAAC,IAAIZ,EAAE,KAAK,QAAQY,GAAG,GAAGZ,GAAG,KAAK,MAAM,IAAI2lD,EAAE,yCAAyC/kD,GAAG,EAAE,OAAO,KAAK,QAAQZ,EAAE,CAAC,CAAC,cAAc,CAAC,KAAK,SAAS,MAAMuzB,GAAG,KAAK,OAAO,CAAC,CAAC,EAAEi6B,GAAG,IAAI1H,GAAG2H,GAAG,IAAI3H,GAAG,SAAS4H,GAAG5tD,EAAE,CAAC0tD,IAAI,MAAMA,GAAG,cAAc1tD,CAAC,EAAE2tD,IAAI,MAAMA,GAAG,cAAc3tD,CAAC,CAAC,CAAC,SAAS6tD,GAAG7tD,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEL,GAAG,KAAK,GAAGA,EAAE,SAAS,EAAE,MAAM,QAAQF,CAAC,EAAE,EAAE,EAAEA,EAAE,CAACA,CAAC,EAAEiC,EAAE,EAAE,IAAIe,GAAGA,EAAE,IAAI,EAAEd,EAAE,CAAC,EAAEC,EAAE,EAAE,MAAM,EAAE,QAAQa,KAAKf,EAAEE,EAAE,QAAQa,CAAC,IAAI,GAAGd,EAAE,KAAK,EAAE,SAASc,CAAC,CAAC,EAAEd,EAAE,KAAK,IAAI,EAAE5B,GAAG,OAAOA,EAAE,cAAc,GAAG,EAAEA,EAAE,cAAc,EAAE,GAAG,IAAIsC,EAAEX,EAAE,KAAK,GAAG,EAAE,IAAI,EAAE,MAAM,EAAE,KAAK,EAAE,KAAK,GAAG,EAAEY,EAAE6qD,GAAG,IAAI9qD,CAAC,EAAEE,EAAE,GAAGD,GAAG,KAAK,CAAC,IAAIG,EAAE8qD,GAAG,EAAE,CAAC,EAAEjrD,EAAEG,EAAE,OAAOF,EAAEE,EAAE,gBAAgB0qD,GAAG,IAAI9qD,EAAEC,CAAC,EAAE8qD,GAAG,IAAI/qD,EAAEE,CAAC,CAAC,CAACA,EAAE,CAAC,EAAEvC,GAAG,OAAO,OAAOuC,EAAE6qD,GAAG,IAAI/qD,CAAC,CAAC,EAAE,IAAIG,EAAE,IAAI0qD,GAAG,CAAC,EAAE,QAAQzqD,EAAE,EAAEA,EAAEH,EAAE,OAAO,EAAEG,EAAE,CAAC,GAAG1C,GAAG,KAAK,CAAC,IAAImH,EAAE6rB,GAAG,EAAE,WAAW7rB,EAAEnH,EAAE,gBAAgBA,EAAE,cAAcmH,GAAGA,EAAEnH,EAAE,gBAAgBA,EAAE,cAAcmH,EAAE,CAAC,IAAIvD,EAAErB,EAAEG,GAAG,EAAEkB,EAAE,YAAY,GAAG,aAAaopD,GAAG,SAAS,IAAI/lD,EAAE,CAAC,EAAExC,EAAE,CAAC,EAAEJ,EAAE,CAAC,EAAEC,EAAE,GAAG,QAAQ6C,KAAKvD,EAAE,OAAO,CAAC,IAAIe,EAAElC,EAAE,SAAS0E,CAAC,EAAEvC,EAAEnC,EAAE,QAAQ0E,CAAC,EAAEF,EAAE,KAAKtC,CAAC,EAAEF,EAAE,KAAKG,CAAC,EAAEA,GAAG,OAAON,EAAE,IAAIrE,IAAIuC,EAAE2E,EAAE,QAAQ3E,EAAE2E,EAAE,QAAQ,GAAG,CAAC,EAAE,OAAOA,CAAC,GAAGxF,EAAE,QAAQwF,EAAE,IAAI,IAAI,IAAI,CAACxC,EAAE,YAAYwC,EAAE,YAAY,WAAW,IAAI9C,EAAE,KAAKM,CAAC,EAAE,CAACL,IAAI1E,EAAEA,GAAG,CAAC,EAAEA,EAAE,KAAK6E,EAAE,IAAI,IAAIF,EAAEwhD,GAAG,EAAE,MAAM9+C,EAAErH,CAAC,CAAC,EAAE4E,EAAE,KAAK,EAAE,kBAAkBA,EAAE,EAAE,YAAYyC,EAAExC,CAAC,GAAG,IAAIyC,EAAEumD,GAAG7pD,CAAC,EAAEc,EAAE,MAAM,QAAQwC,CAAC,EAAEA,EAAE,CAACA,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEzC,EAAE,OAAO,EAAEyC,EAAE,CAAC1E,EAAE,OAAOiC,EAAEyC,EAAE,GAAG1E,EAAE,IAAIiC,EAAEyC,GAAG5C,EAAE4C,GAAG,MAAM,QAAQ3C,CAAC,EAAEA,EAAE,GAAGA,CAAC,EAAE,IAAIG,EAAEhD,EAAE,QAAQ+C,EAAEyC,GAAG,IAAI,EAAExC,IAAI,KAAK/C,EAAE+C,GAAGJ,EAAE4C,GAAG,CAAClH,GAAGkzB,GAAG9uB,CAAC,CAAC,CAAC,OAAO5B,EAAE,aAAa,EAAE,EAAEb,EAAEA,EAAE,EAAE,CAAC,SAAS4rD,GAAG9tD,EAAE,EAAE,CAAC6mB,EAAE,OAAO7mB,GAAG,MAAMA,EAAE,OAAO,EAAE,IAAI,uCAAuC,EAAE,IAAIE,EAAE,CAAC,EAAEI,EAAE,CAAC,EAAE,GAAGN,EAAE,SAAS,EAAE,CAAC,IAAIO,EAAEytD,GAAGhuD,EAAE,GAAG,CAAC,EAAEE,EAAEK,EAAE,OAAOD,EAAEC,EAAE,YAAY,KAAK,CAAC,IAAIA,EAAE,IAAI,IAAI,QAAQ,KAAKP,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,aAAaiC,CAAC,EAAE+rD,GAAG,EAAE,CAAC,EAAE,QAAQ9rD,KAAK,EAAE3B,EAAE,IAAI2B,EAAE,IAAI,IAAIhC,EAAE,KAAKgC,CAAC,EAAE3B,EAAE,IAAI2B,EAAE,IAAI,GAAG,QAAQA,KAAKD,EAAE3B,EAAE4B,IAAI,OAAO5B,EAAE4B,GAAG,IAAI,KAAKD,EAAEC,GAAG,QAAQC,GAAG7B,EAAE4B,GAAG,IAAIC,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,OAAOjC,EAAE,gBAAgB+tD,GAAG3tD,CAAC,CAAC,CAAC,CAAC,SAAS2tD,GAAGjuD,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQE,KAAKF,EAAE,EAAEE,GAAGF,EAAEE,GAAG,KAAK,OAAO,CAAC,CAAC,SAAS8tD,GAAGhuD,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,IAAII,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,QAAQ0B,KAAK,EAAE,MAAM,EAAE/B,EAAE,IAAI+B,CAAC,EAAE,IAAI,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,IAAI,EAAE,KAAKjC,CAAC,EAAE,EAAE,OAAO,GAAG,CAAC,IAAIiC,EAAE,EAAE,EAAE,OAAO,GAAG,GAAG/B,EAAE,IAAI+B,EAAE,IAAI,EAAE,CAAC,EAAE,IAAI,EAAE,QAAQ,CAAC,IAAIC,EAAE,EAAE,EAAE,OAAO,KAAK,EAAE,OAAO,EAAE,GAAGD,EAAE,OAAO,SAAS,GAAGC,EAAE,EAAE,IAAI,EAAE5B,EAAE,KAAK2B,CAAC,EAAE/B,EAAE,IAAI+B,EAAE,IAAI,EAAEC,GAAG,EAAE,IAAI,MAAM,CAAC,EAAE,KAAK,EAAE,OAAO,CAAC,EAAE,QAAQC,KAAKF,EAAE,OAAO1B,EAAE4B,EAAE,OAAO,OAAO5B,EAAE4B,EAAE,MAAM,IAAI,KAAK5B,EAAE4B,EAAE,MAAM,IAAIF,EAAE,IAAI,EAAE,CAAC/B,EAAE,IAAIiC,EAAE,IAAI,GAAG,EAAE,KAAKA,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,OAAO7B,EAAE,aAAaC,CAAC,CAAC,CAAC,SAASwtD,GAAG/tD,EAAE,CAAC,IAAI,EAAE,GAAGA,EAAE,YAAY,aAAa,SAAS,EAAE,EAAEA,EAAE,YAAY,WAAW,CAAC,IAAIE,EAAE,KAAK,QAAQI,EAAE,EAAEA,EAAEN,EAAE,YAAY,aAAa,OAAO,EAAEM,EAAE,QAAQC,KAAKP,EAAE,YAAY,aAAaM,GAAG,cAAc,GAAGC,EAAE,KAAKP,EAAE,GAAG,CAACE,EAAEI,EAAE,KAAK,CAAC,EAAEN,EAAE,YAAY,YAAYE,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIguD,GAAGzzC,EAAE,EAAEyzC,GAAG,aAAa,qCAAqC,IAAI,IAAIN,EAAE,EAAE,IAAIO,GAAG,CAAC,EAAE/tD,GAAG+tD,GAAG,CAAC,QAAQ,IAAIC,GAAG,WAAW,IAAIC,GAAG,OAAO,IAAIC,GAAG,SAAS,IAAIC,EAAE,CAAC,EAAE,SAASC,GAAGxuD,EAAE,EAAE,CAAC,OAAOwzB,EAAE,IAAIsP,GAAGI,GAAG/J,EAAEn5B,EAAEA,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAIyuD,GAAG,cAAcj3B,GAAE,YAAY,CAAC,WAAW,CAAC,MAAM,CAAC,CAAC,CAAC,EAAEk3B,GAAG,cAAcD,EAAE,CAAC,YAAY3tD,EAAE,CAAC,MAAM,EAAE,KAAK,gBAAgB,EAAE,KAAK,YAAY,EAAE,KAAK,SAASA,EAAE,UAAU,KAAKA,EAAE,SAAS,KAAK,gBAAgB,KAAK,KAAKA,EAAE,MAAM,KAAKA,EAAE,KAAK,KAAK,WAAW,CAAC,MAAMA,EAAE,CAAC,OAAO0yB,EAAE,IAAI,CAAC,IAAItzB,EAAEsuD,GAAG1tD,EAAE,KAAK,IAAI,EAAE,EAAEu9B,GAAGn+B,EAAE,EAAE,KAAK,QAAQ,EAAE,OAAOi5B,EAAEr4B,EAAEm4B,GAAG,EAAEJ,EAAEqwB,GAAG,EAAEhpD,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,SAAS,KAAK,SAAS,KAAK,KAAK,IAAI,CAAC,CAAC,EAAEwuD,GAAG,UAAU,UAAUl3B,GAAE,cAAck3B,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAY3tD,EAAE,CAAC,MAAM,EAAE,KAAK,YAAY,EAAE,KAAK,KAAKA,EAAE,MAAM,KAAKA,EAAE,KAAK,KAAK,WAAW,CAAC,MAAMA,EAAE,CAAC,OAAO0yB,EAAE,IAAIyF,GAAGn4B,EAAE+3B,EAAEqwB,GAAG,EAAEsF,GAAG1tD,EAAE,KAAK,IAAI,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,KAAK,KAAK,IAAI,CAAC,CAAC,EAAE6tD,GAAG,UAAU,WAAWn3B,GAAE,cAAcm3B,EAAE,EAAE,IAAIC,GAAG,cAAcH,EAAE,CAAC,MAAM3tD,EAAE,CAAC,OAAOqrC,GAAGrrC,CAAC,CAAC,CAAC,EAAE8tD,GAAG,UAAU,SAASp3B,GAAE,cAAco3B,EAAE,EAAE,IAAIC,GAAG,cAAcJ,EAAE,CAAC,YAAY3tD,EAAE,CAAC,MAAM,EAAE,KAAK,gBAAgB,EAAE,KAAK,gBAAgB,EAAE,KAAK,YAAY,EAAE,KAAK,YAAY,EAAE,KAAK,SAASA,EAAE,UAAU,KAAKA,EAAE,SAAS,KAAK,gBAAgB,KAAK,SAASA,EAAE,UAAU,KAAKA,EAAE,SAAS,KAAK,gBAAgB,KAAK,KAAKA,EAAE,MAAM,KAAKA,EAAE,KAAK,KAAK,YAAY,KAAK,KAAKA,EAAE,MAAM,KAAKA,EAAE,KAAK,KAAK,WAAW,CAAC,MAAMA,EAAE,CAAC,OAAO0yB,EAAE,IAAI,CAAC,IAAItzB,EAAEsuD,GAAG1tD,EAAE,KAAK,IAAI,EAAE,EAAE+3B,EAAEM,EAAE,KAAK,KAAKkF,GAAGn+B,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAEi5B,EAAE,EAAE,KAAK,KAAKj5B,CAAC,CAAC,EAAE,OAAOi5B,EAAEr4B,EAAEm4B,GAAG,EAAEJ,EAAEqwB,GAAG,EAAEhpD,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,SAAS,KAAK,SAAS,SAAS,KAAK,SAAS,KAAK,KAAK,KAAK,KAAK,KAAK,IAAI,CAAC,CAAC,EAAE2uD,GAAG,UAAU,aAAar3B,GAAE,cAAcq3B,EAAE,EAAE,IAAIC,GAAG,CAAC,QAAQ,UAAU,WAAW,aAAa,OAAO,SAAS,SAAS,UAAU,EAAE,SAASC,GAAG/uD,EAAE,CAAC,OAAOymD,GAAGzmD,CAAC,CAAC,CAAC,SAASgvD,GAAGhvD,EAAE,EAAE,CAAC,EAAE,CAAC,OAAO2mD,GAAG3mD,EAAEw3B,GAAE,iBAAiB,OAAO,EAAE,aAAa,EAAE,YAAY,CAAC,CAAC,SAASy3B,GAAGjvD,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,KAAK,GAAG,OAAOA,GAAG,SAAS,CAAC,IAAIE,EAAE,CAAC,UAAUF,KAAK8uD,GAAGA,GAAG9uD,GAAGA,EAAE,OAAO,CAAC,CAAC,EAAE,OAAOgvD,GAAG9uD,CAAC,CAAC,KAAM,QAAOF,aAAayuD,GAAGzuD,EAAEgvD,GAAGhvD,CAAC,CAAC,CAAC,SAASouD,GAAGpuD,EAAE,CAAC,OAAO,IAAI0uD,GAAG1uD,CAAC,CAAC,CAAC,SAASuuD,GAAGvuD,EAAE,CAAC,OAAO,IAAI2uD,GAAG3uD,CAAC,CAAC,CAAC,SAASsuD,IAAI,CAAC,OAAO,IAAIM,EAAE,CAAC,SAASP,GAAGruD,EAAE,CAAC,OAAO,IAAI6uD,GAAG7uD,CAAC,CAAC,CAAC,IAAIkvD,GAAG,CAAC,EAAE9uD,GAAG8uD,GAAG,CAAC,SAAS,IAAIC,GAAG,aAAa,IAAIC,GAAG,cAAc,IAAIC,GAAG,SAAS,IAAIC,GAAG,UAAU,IAAIC,GAAG,SAAS,IAAIC,GAAG,YAAY,IAAIC,GAAG,aAAa,IAAIC,GAAG,KAAK,IAAIC,GAAG,WAAW,IAAIC,GAAG,aAAa,IAAIC,GAAG,cAAc,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,MAAM,IAAIC,EAAE,CAAC,EAAE,SAASA,IAAI,CAAC,OAAO,IAAIlF,EAAE,CAAC,SAAS4E,IAAI,CAAC,OAAO,IAAI3E,EAAE,CAAC,SAASmE,GAAGnvD,EAAE,CAAC,OAAO,IAAIirD,GAAGjrD,CAAC,CAAC,CAAC,SAAS8vD,GAAG9vD,EAAE,CAAC,OAAO,IAAIkrD,GAAGlrD,CAAC,CAAC,CAAC,SAAS6vD,GAAG7vD,EAAE,CAAC,OAAO,IAAImrD,GAAGnrD,CAAC,CAAC,CAAC,SAAS+vD,GAAG/vD,EAAE,CAAC,OAAO,IAAIorD,GAAGprD,CAAC,CAAC,CAAC,SAASwvD,GAAGxvD,EAAE,CAAC,OAAO,IAAIqrD,GAAGrrD,CAAC,CAAC,CAAC,SAASgwD,GAAGhwD,EAAE,CAAC,OAAO,IAAIurD,GAAGvrD,CAAC,CAAC,CAAC,SAASqvD,GAAGrvD,EAAE,CAAC,OAAO,IAAIwrD,GAAGxrD,CAAC,CAAC,CAAC,SAASovD,GAAGpvD,EAAE,CAAC,OAAO,IAAIyrD,GAAGzrD,CAAC,CAAC,CAAC,SAASsvD,GAAGtvD,EAAE,CAAC,OAAO,IAAI0rD,GAAG1rD,CAAC,CAAC,CAAC,SAASuvD,GAAGvvD,EAAE,CAAC,OAAO,IAAI2rD,GAAG3rD,CAAC,CAAC,CAAC,SAASyvD,GAAGzvD,EAAE,CAAC,OAAO,IAAI4rD,GAAG5rD,CAAC,CAAC,CAAC,SAAS0vD,GAAG1vD,EAAE,CAAC,OAAO,IAAI6rD,GAAG7rD,CAAC,CAAC,CAAC,SAAS4vD,GAAG5vD,EAAE,CAAC,OAAO,IAAI8rD,GAAG9rD,CAAC,CAAC,CAAC,IAAIkwD,GAAG,CAAC,EAAE9vD,GAAG8vD,GAAG,CAAC,MAAM,IAAIhD,GAAG,IAAI,IAAIiD,GAAG,QAAQ,IAAIC,GAAG,WAAW,IAAIC,GAAG,IAAI,IAAIC,GAAG,aAAa,IAAIC,GAAG,QAAQ,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,UAAU,IAAIC,GAAG,UAAU,IAAIC,GAAG,UAAU,IAAIC,GAAG,aAAa,IAAIC,GAAG,aAAa,IAAIC,GAAG,aAAa,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,cAAc,IAAIC,GAAG,YAAY,IAAIC,GAAG,OAAO,IAAIC,GAAG,OAAO,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,OAAO,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,WAAW,IAAIC,GAAG,eAAe,IAAIC,GAAG,WAAW,IAAIC,GAAG,MAAM,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,IAAI,IAAIC,GAAG,QAAQ,IAAIC,GAAG,IAAI,IAAIC,GAAG,UAAU,IAAIC,GAAG,QAAQ,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,cAAc,IAAIC,GAAG,uBAAuB,IAAIC,GAAG,uBAAuB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,IAAI,IAAIC,GAAG,QAAQ,IAAIC,GAAG,MAAM,IAAIC,GAAG,WAAW,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,UAAU,IAAIC,GAAG,KAAK,IAAIC,GAAG,SAAS,IAAIC,GAAG,QAAQ,IAAIC,GAAG,UAAU,IAAIC,GAAG,UAAU,IAAIC,GAAG,aAAa,IAAIC,GAAG,aAAa,IAAIC,GAAG,aAAa,IAAIC,GAAG,QAAQ,IAAIC,GAAG,QAAQ,IAAIC,GAAG,SAAS,IAAIC,GAAG,QAAQ,IAAIC,GAAG,MAAM,IAAIC,GAAG,KAAK,IAAIC,GAAG,aAAa,IAAIC,GAAG,UAAU,IAAIC,GAAG,QAAQ,IAAIC,GAAG,IAAI,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,UAAU,IAAIC,GAAG,cAAc,IAAIC,GAAG,QAAQ,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,aAAa,IAAIC,GAAG,cAAc,IAAIC,EAAE,CAAC,EAAE,eAAeC,GAAG90D,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,IAAI,EAAE,CAAC,EAAEE,EAAE,CAAC,EAAEI,EAAE,CAAC,EAAE,QAAQC,KAAKP,EAAE,CAAC,IAAI,EAAEA,EAAEO,GAAG,GAAG,OAAO,GAAG,SAAS,CAAC,IAAI,EAAE,EAAE,EAAE,KAAK,EAAE,KAAK,CAAC,EAAEL,EAAE,KAAKK,CAAC,EAAED,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,GAAG,EAAE,OAAO,EAAE,CAAC,IAAIC,EAAE,MAAM,QAAQ,IAAI,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEP,EAAEE,EAAE,IAAIK,EAAE,GAAG,GAAGkzB,GAAGnzB,CAAC,CAAC,CAAC,CAAC,SAASy0D,GAAG/0D,EAAE,CAAC,GAAGA,GAAG,KAAK,QAAQ,KAAKA,EAAE,CAAC,IAAIE,EAAEF,EAAE,GAAG,OAAOE,GAAG,UAAUA,EAAE,QAAQ,CAAC,CAAC,CAAC,IAAI80D,IAAI,SAASh1D,EAAE,CAACA,EAAEA,EAAE,OAAO,GAAG,SAASA,EAAEA,EAAE,QAAQ,GAAG,SAAS,GAAGg1D,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,IAAIC,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,eAAe,IAAI,CAAC,UAAUp0D,EAAE,CAAC,KAAK,OAAOA,CAAC,CAAC,MAAM,aAAaA,EAAEZ,EAAE,CAAC,CAAC,MAAM,WAAWY,EAAEZ,EAAE,CAAC,CAAC,MAAM,aAAaY,EAAEZ,EAAE,CAAC,CAAC,MAAM,WAAWY,EAAEZ,EAAE,CAAC,CAAC,MAAM,aAAaY,EAAE,CAAC,CAAC,MAAM,WAAWA,EAAE,CAAC,CAAC,SAASA,EAAE,CAAC,CAAC,EAAEq0D,GAAG,KAAK,CAAC,YAAYr0D,EAAEZ,EAAE,GAAG,CAACY,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,UAAUA,EAAE,KAAK,YAAYZ,CAAC,CAAC,OAAOY,EAAE,CAAC,KAAK,UAAU,KAAKA,CAAC,CAAC,CAAC,UAAUA,EAAE,CAAC,QAAQZ,KAAK,KAAK,UAAUA,EAAE,UAAUY,CAAC,CAAC,CAAC,SAASA,EAAE,CAAC,QAAQZ,KAAK,KAAK,UAAUA,EAAE,SAASY,CAAC,CAAC,CAAC,MAAM,aAAaA,EAAEZ,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,QAAQ,KAAK,KAAK,UAAU,MAAM,EAAE,aAAaY,EAAEZ,CAAC,CAAC,CAAC,MAAM,WAAWY,EAAEZ,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,QAAQ,KAAK,KAAK,UAAU,MAAM,EAAE,WAAWY,EAAEZ,CAAC,CAAC,CAAC,MAAM,aAAaY,EAAEZ,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,QAAQ,KAAK,KAAK,UAAU,MAAM,EAAE,aAAaY,EAAEZ,CAAC,CAAC,CAAC,MAAM,WAAWY,EAAEZ,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,QAAQ,KAAK,KAAK,UAAU,MAAM,EAAE,WAAWY,EAAEZ,CAAC,CAAC,CAAC,MAAM,aAAaY,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,QAAQZ,KAAK,KAAK,UAAU,MAAMA,EAAE,aAAaY,CAAC,CAAC,CAAC,MAAM,WAAWA,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,QAAQZ,KAAK,KAAK,UAAU,MAAMA,EAAE,WAAWY,CAAC,CAAC,CAAC,EAAEs0D,GAAG,cAAcF,EAAE,CAAC,aAAa,CAAC,MAAM,CAAC,CAAC,MAAM,aAAap0D,EAAE,CAAC,KAAK,KAAK,EAAE,KAAK,OAAO,CAAC,CAAC,CAAC,MAAM,WAAWA,EAAEZ,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,IAAI,EAAEA,EAAE,MAAM,KAAK,EAAEA,EAAE,KAAK,KAAK,MAAM,EAAE,QAAQK,KAAKL,EAAE,CAAC,IAAI6B,EAAE7B,EAAEK,GAAG,GAAG,OAAOwB,GAAG,SAAS,KAAK,OAAO,eAAexB,CAAC,IAAI,KAAK,OAAOA,GAAG,GAAG,KAAK,OAAOA,GAAG,KAAK,OAAOA,GAAGwB,EAAE,MAAM,CAAC,IAAIC,EAAEzB,KAAK,KAAK,OAAOyB,EAAE,KAAK,OAAOzB,GAAG,KAAK,OAAOA,GAAG,EAAE,IAAI0B,EAAEuxB,EAAE,IAAIqF,EAAE,KAAK,OAAOt4B,GAAG44B,EAAEp3B,EAAE,CAAC,CAAC,CAAC,EAAE,KAAK,OAAOxB,GAAG0B,EAAED,GAAG,MAAMA,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,MAAM,WAAWlB,EAAEZ,EAAE,CAAC,GAAGA,GAAG,KAAK,QAAQ,KAAK,KAAK,OAAO,QAAQ,KAAK,OAAO,IAAI,OAAO,OAAO,KAAK,OAAO,IAAI,SAASA,EAAE,GAAG,KAAK,OAAO,GAAG,KAAK,KAAKszB,EAAE,IAAI,CAAC,IAAIjzB,EAAE44B,EAAEF,GAAG,EAAE,KAAK,IAAI,EAAE,KAAK,OAAO,EAAE,EAAE/4B,EAAE,GAAGK,EAAE,KAAK,OAAO,GAAG,QAAQ,EAAEmzB,GAAGxzB,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,EAAEm1D,GAAG,cAAcH,EAAE,CAAC,MAAM,aAAap0D,EAAE,CAAC,KAAK,MAAM,CAAC,EAAE,KAAK,QAAQ,CAAC,CAAC,CAAC,MAAM,WAAWA,EAAEZ,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,MAAM,KAAKY,CAAC,EAAE,QAAQ,KAAKZ,EAAE,KAAK,QAAQ,IAAI,OAAO,KAAK,QAAQ,GAAG,CAAC,GAAG,KAAK,QAAQ,GAAG,KAAKA,EAAE,EAAE,CAAC,CAAC,MAAM,UAAU,CAAC,IAAIY,EAAE,CAAC,EAAEZ,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQ6B,KAAK,KAAK,QAAQ,CAAC,IAAIC,EAAE,KAAK,QAAQD,GAAG,QAAQE,EAAE,EAAEA,EAAED,EAAE,OAAO,EAAEC,EAAE,GAAG,OAAOD,EAAEC,IAAI,SAAS,CAAC,IAAIC,EAAEF,EAAEC,GAAGnB,EAAE,KAAKoB,EAAE,KAAK,CAAC,EAAEhC,EAAE,KAAK6B,CAAC,EAAE,EAAE,KAAKE,CAAC,CAAC,CAAC,CAAC,IAAI1B,EAAE,MAAM,QAAQ,IAAIO,CAAC,EAAE,QAAQiB,EAAE,EAAEA,EAAExB,EAAE,OAAO,EAAEwB,EAAE,KAAK,QAAQ7B,EAAE6B,IAAI,EAAEA,IAAI,QAAQ,EAAE,KAAK,QAAQ7B,EAAE6B,IAAI,EAAEA,IAAIxB,EAAEwB,GAAG,EAAE,CAAC,EAAEuzD,GAAG,cAAcJ,EAAE,CAAC,YAAYp0D,EAAEZ,EAAE,CAAC,GAAG,MAAM,EAAE,KAAK,aAAa,EAAE,KAAK,QAAQY,EAAE,QAAQ,KAAK,cAAcA,EAAE,eAAes5C,GAAG,KAAK,WAAWl6C,GAAG,OAAO,KAAK,aAAa,SAAS,KAAK,WAAW+0D,IAAI,KAAK,aAAa,SAASn0D,EAAE,SAAS,KAAK,MAAM,IAAI,MAAM,iHAAiH,EAAE+lB,EAAE,SAAS,KAAK,UAAU,IAAI,KAAK,UAAUugC,GAAG,KAAK,UAAU,KAAK,IAAI,EAAE,KAAK,WAAW,KAAK,OAAO,GAAG,KAAK,WAAWtmD,EAAE,aAAa,KAAK,SAASA,EAAE,WAAW,KAAK,WAAWA,EAAE,aAAa,KAAK,SAASA,EAAE,WAAW,KAAK,WAAWA,EAAE,aAAa,KAAK,SAASA,EAAE,WAAW,KAAK,MAAMA,EAAE,OAAO,CAAC,MAAM,UAAUA,EAAEZ,EAAE,EAAE,CAAC,IAAIK,EAAE,CAAC,EAAE,KAAK,OAAO,OAAO,MAAMu0D,GAAG,CAAC,EAAEv0D,EAAE,KAAK,KAAK,MAAMO,EAAEZ,EAAE,CAAC,CAAC,GAAGK,EAAE,KAAK,KAAK,cAAc,CAAC,EAAE,MAAM,QAAQ,IAAIA,CAAC,CAAC,CAAC,MAAM,aAAaO,EAAEZ,EAAE,CAAC,KAAK,aAAaY,EAAE,KAAK,YAAY,OAAO,MAAMg0D,GAAG50D,CAAC,EAAE,MAAM,KAAK,WAAWY,EAAEZ,CAAC,EAAE,CAAC,MAAM,WAAWY,EAAEZ,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,KAAK,UAAU,OAAO,MAAM40D,GAAG50D,CAAC,EAAE,EAAE,KAAK,KAAK,SAASY,EAAEZ,CAAC,CAAC,GAAG,KAAK,aAAa,SAAS,EAAE,KAAK,KAAK,cAAc,CAAC,EAAE,MAAM,QAAQ,IAAI,CAAC,CAAC,CAAC,MAAM,aAAaY,EAAEZ,EAAE,CAAC,KAAK,YAAY,OAAO,MAAM40D,GAAG50D,CAAC,EAAE,MAAM,KAAK,WAAWY,EAAEZ,CAAC,EAAE,CAAC,MAAM,WAAWY,EAAEZ,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,KAAK,UAAU,OAAO,MAAM40D,GAAG50D,CAAC,EAAE,EAAE,KAAK,KAAK,SAASY,EAAEZ,CAAC,CAAC,GAAG,KAAK,aAAa,QAAQ,EAAE,KAAK,KAAK,cAAc,CAAC,EAAE2mB,EAAE,SAAS,KAAK,UAAU,GAAG,EAAE,KAAK,KAAK,UAAU,KAAK,aAAa/lB,EAAEZ,CAAC,CAAC,EAAE,MAAM,QAAQ,IAAI,CAAC,CAAC,CAAC,MAAM,aAAaY,EAAE,CAAC,KAAK,YAAY,OAAO,MAAMg0D,GAAGh0D,CAAC,EAAE,MAAM,KAAK,WAAWA,CAAC,EAAE,CAAC,MAAM,WAAWA,EAAE,CAAC,KAAK,UAAU,OAAO,MAAMg0D,GAAGh0D,CAAC,EAAE,MAAM,KAAK,SAASA,CAAC,EAAE,CAAC,EAAE,SAASy0D,GAAGv1D,EAAE,EAAE,CAAC,OAAOA,GAAG,OAAOA,EAAE,CAAC,GAAGA,aAAak1D,GAAG,CAACl1D,CAAC,EAAE,MAAM,QAAQA,CAAC,GAAGA,EAAE,aAAak1D,GAAGl1D,EAAEqmD,GAAGrmD,CAAC,EAAE,IAAI,GAAG,IAAIs1D,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,IAAIE,GAAG,KAAK,CAAC,aAAa,CAAC,CAAC,OAAO,4BAA4B10D,EAAEZ,EAAE,CAAC2mB,EAAE,OAAO/lB,GAAG,GAAG,OAAO,UAAUA,CAAC,EAAE,IAAI,8DAA8DA,GAAG,EAAE00D,GAAG,kBAAkBt1D,CAAC,EAAEs1D,GAAG,aAAa10D,IAAI,OAAO00D,GAAG,aAAa10D,GAAG,CAAC,GAAG00D,GAAG,aAAa10D,GAAG,KAAKZ,CAAC,CAAC,CAAC,OAAO,kBAAkBY,EAAE,CAAC,QAAQZ,KAAKs1D,GAAG,aAAaA,GAAG,aAAa,CAACt1D,GAAG,QAAQK,GAAG,CAAC,GAAGA,IAAIO,EAAE,MAAM,IAAI+kD,EAAE,iCAAiC,CAAC,CAAC,CAAC,CAAC,OAAO,OAAO,CAAC2P,GAAG,aAAa,CAAC,CAAC,CAAC,OAAO,gBAAgB10D,EAAE,CAAC,IAAIZ,EAAE,CAAC,EAAE,QAAQ,KAAKs1D,GAAG,aAAa,CAAC,IAAIj1D,EAAE,CAAC,EAAEO,GAAGP,GAAGL,EAAE,KAAK,GAAGs1D,GAAG,aAAaj1D,EAAE,CAAC,CAAC,OAAOL,EAAE,IAAI,GAAG,IAAI,CAAC,CAAC,CAAC,EAAEs1D,GAAG,aAAa,CAAC,EAAE,SAASC,GAAGz1D,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAE,CAAC,IAAIC,EAAE,IAAIkzD,GAAGzyD,EAAE,CAAC,IAAIwyD,GAAG,GAAGI,GAAG,gBAAgB,CAAC,CAAC,EAAEx1D,GAAG,MAAM4C,EAAE,KAAK,GAAG5C,CAAC,EAAE4C,EAAE,KAAKT,CAAC,EAAE,IAAIU,EAAE,IAAIsyD,GAAGvyD,CAAC,EAAE,OAAOC,EAAE,UAAU,CAAC,OAAO3C,EAAE,aAAaI,EAAE,QAAQC,EAAE,MAAM,EAAE,UAAU,EAAE,QAAQ,EAAE,aAAa0B,EAAE,QAAQC,CAAC,CAAC,EAAE,CAAC,aAAaW,EAAE,QAAQV,CAAC,CAAC,CAAC,SAASuzD,GAAG11D,EAAE,EAAE,CAAC,EAAEE,EAAE,GAAG,CAAC,OAAOymD,GAAG3mD,EAAEw3B,GAAE,iBAAiB,OAAO,EAAE,aAAa,EAAE,QAAQt3B,CAAC,CAAC,CAAC,SAASy1D,GAAG31D,EAAE,EAAE,CAAC,OAAOwzB,EAAE,IAAI,CAACxzB,EAAE,QAAQ,YAAYA,EAAEwwB,GAAExwB,EAAE,SAAS,GAAG,IAAIE,EAAEgjC,GAAGinB,GAAGnqD,CAAC,EAAE,EAAE,EAAE,EAAEM,EAAE69B,GAAGj+B,EAAE,MAAMgpD,GAAG,CAAC,EAAE3oD,EAAEuiC,GAAGmF,GAAG/nC,EAAEI,CAAC,CAAC,EAAE,OAAO24B,GAAGj5B,EAAEO,CAAC,CAAC,CAAC,CAAC,CAAC,SAASq1D,GAAG51D,EAAE,EAAE,CAAC,OAAOwzB,EAAE,IAAI2U,GAAGgiB,GAAG1jB,GAAG,EAAEzmC,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,SAAS61D,GAAG71D,EAAE,EAAE,CAAC,OAAOwzB,EAAE,IAAI2U,GAAG9O,GAAGoN,GAAG,EAAEzmC,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,SAAS81D,GAAG91D,EAAE,EAAE,CAAC,OAAOwzB,EAAE,IAAI,CAAC,IAAItzB,EAAEumC,GAAGzmC,EAAE,CAAC,EAAEM,EAAE+9B,GAAGhF,GAAGr5B,CAAC,EAAEkpD,GAAG,EAAE,OAAO,SAAS,EAAE3oD,EAAE84B,GAAGJ,GAAG/4B,EAAEI,CAAC,CAAC,EAAE,OAAO64B,EAAE,IAAIgP,GAAG5nC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,SAASw1D,GAAG/1D,EAAE,EAAE,CAAC,OAAOwzB,EAAE,IAAI,CAAC,IAAItzB,EAAEm+B,GAAG,EAAE6qB,GAAG,EAAE,OAAO,SAAS,EAAE5oD,EAAEolC,GAAG7M,EAAE,EAAE34B,CAAC,CAAC,EAAEK,EAAE89B,GAAGr+B,EAAEkpD,GAAG,EAAE,OAAO,SAAS,EAAE,EAAExjB,GAAG7M,EAAE,EAAEt4B,CAAC,CAAC,EAAE,OAAO4nC,GAAGgiB,GAAG1jB,GAAGnmC,EAAE,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS01D,GAAGh2D,EAAE,EAAE,CAAC,OAAOwzB,EAAE,IAAI,CAAC,IAAItzB,EAAE+nC,GAAG,EAAExB,GAAG,EAAEtN,EAAEn5B,EAAE,CAAC,CAAC,CAAC,EAAE,OAAOmoC,GAAGgiB,GAAGjqD,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS+1D,GAAGj2D,EAAE,EAAE,CAAC,OAAOwzB,EAAE,IAAI,CAAC,IAAItzB,EAAE+nC,GAAG,EAAExB,GAAG,EAAEtN,EAAEn5B,EAAE,CAAC,CAAC,CAAC,EAAE,OAAOmoC,GAAGjoC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAASg2D,GAAGl2D,EAAE,EAAE,CAAC,OAAOwzB,EAAE,IAAI,CAAC,IAAItzB,EAAEgjC,GAAG/J,EAAEn5B,EAAE,CAAC,EAAE,EAAE,EAAEM,EAAEiiC,GAAGpJ,EAAEsN,GAAG,EAAEzmC,CAAC,EAAE,CAAC,EAAE,EAAE,EAAE,OAAOioC,GAAG,EAAEpP,EAAE,EAAE4N,GAAGnmC,EAAEJ,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAASi2D,GAAGn2D,EAAE,EAAE,CAAC,OAAOwzB,EAAE,IAAI,CAAC,IAAItzB,EAAE,KAAK,IAAI,CAAC,EAAEI,EAAEmmC,GAAG,EAAEzmC,CAAC,EAAEO,EAAEkmC,GAAG5N,EAAEv4B,EAAE+lC,GAAGlN,EAAE,GAAG74B,CAAC,CAAC,CAAC,EAAEJ,CAAC,EAAE,OAAOioC,GAAG5nC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS61D,GAAGp2D,EAAE,EAAEE,EAAE,GAAG,CAAC,OAAOszB,EAAE,IAAI,CAAC,GAAGtzB,EAAE,EAAEuuC,GAAG,CAAC,MAAM,CAAC,IAAInuC,EAAE4iC,GAAG,EAAE,EAAE,MAAM,OAAO,EAAE,EAAE,EAAE,EAAEjK,GAAG,EAAE34B,CAAC,CAAC,CAAC,OAAO,EAAE+9B,GAAG,EAAE6qB,GAAG,EAAE,EAAEA,GAAG,CAAC,EAAE10B,GAAG0O,GAAG/J,EAAE3I,GAAExwB,EAAE,SAAS,EAAE0lC,GAAG,CAAC,CAAC,EAAE,EAAE,MAAM,OAAO,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS2wB,GAAGr2D,EAAE,EAAEE,EAAE,GAAG,CAAC,OAAOszB,EAAE,IAAI,CAAC,IAAIlzB,EAAEkwB,GAAE2T,GAAGqlB,GAAGxpD,CAAC,CAAC,EAAE,OAAO,EAAE,EAAEq+B,GAAG,EAAE6qB,GAAG,EAAE,EAAEA,GAAG,CAAC,EAAE,IAAI3oD,EAAE,EAAE,MAAM,EAAE07B,EAAElJ,GAAGzyB,EAAEC,EAAEA,EAAE,OAAO,EAAE,EAAEA,CAAC,EAAE,OAAO61D,GAAG,EAAE,EAAEl2D,CAAC,CAAC,CAAC,CAAC,CAAC,SAASo2D,GAAGt2D,EAAE,EAAE,CAAC,GAAG,CAAC6mB,EAAE,YAAY7mB,EAAE,MAAM,EAAE,KAAK,EAAE,MAAM,IAAI6lD,EAAE,8DAA8D,KAAK,UAAU7lD,EAAE,KAAK,SAAS,KAAK,UAAU,EAAE,KAAK,GAAG,EAAE,OAAOwzB,EAAE,IAAI,CAAC,IAAItzB,EAAEisC,GAAG,CAAC,EAAE7rC,EAAEk0B,GAAG6E,GAAG,CAAC,CAAC,EAAE,OAAOR,EAAE4N,GAAGvmC,EAAEi5B,EAAE,EAAEn5B,CAAC,CAAC,EAAE4lC,GAAGnC,GAAGnjC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAASi2D,GAAGv2D,EAAE,EAAE,CAAC,OAAOwzB,EAAE,IAAI,CAAC,IAAItzB,EAAE,OAAOA,EAAEm+B,GAAG,EAAE6qB,GAAG,EAAE,EAAEA,GAAG,CAAC,EAAEhpD,EAAEwlC,GAAGzM,GAAG/4B,EAAEumC,GAAG,EAAEvmC,CAAC,CAAC,CAAC,EAAEioC,GAAGmuB,GAAGt2D,EAAEE,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAASs2D,GAAGx2D,EAAE,EAAE,CAAC,OAAOwzB,EAAE,IAAI,CAAC,IAAItzB,EAAEm+B,GAAGr+B,EAAEkpD,GAAG,EAAE,CAAC,EAAE5oD,EAAE+9B,GAAG,EAAE6qB,GAAG,EAAE,CAAC,EAAE,OAAOhmB,GAAG/J,EAAEn5B,EAAE0lC,GAAGzM,GAAG/4B,EAAEI,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAASm2D,GAAGz2D,EAAE,EAAE,CAAC,OAAOwzB,EAAE,IAAI,CAAC,IAAItzB,EAAEwlC,GAAG7M,EAAEqwB,GAAG,EAAE,CAAC,CAAC,EAAE,OAAO/gB,GAAG1B,GAAG,EAAEtN,EAAEn5B,EAAEE,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAASw2D,GAAG12D,EAAE,EAAE,CAAC,OAAOwzB,EAAE,IAAI,CAAC,IAAItzB,EAAEy1D,GAAG31D,EAAE,EAAE,EAAEM,EAAEq1D,GAAG,EAAE,EAAE,EAAEp1D,EAAE44B,EAAEj5B,EAAEI,CAAC,EAAE,OAAOk0B,GAAG0O,GAAG3iC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIo2D,GAAG,CAAC,iBAAiBf,GAAG,kBAAkBC,GAAG,4BAA4BC,GAAG,4BAA4BC,GAAG,aAAaC,GAAG,MAAMC,GAAG,iBAAiBC,GAAG,QAAQC,GAAG,wBAAwBC,GAAG,8BAA8BC,GAAG,mBAAmBE,GAAG,0BAA0BC,GAAG,QAAQC,GAAG,gBAAgBC,EAAE,EAAE,SAASE,GAAG52D,EAAE,CAAC,GAAG,OAAOA,GAAG,SAAS,CAAC,GAAGA,KAAK22D,GAAG,OAAOA,GAAG32D,GAAG,IAAI,EAAE,gBAAgBA,IAAI,MAAMA,EAAE,YAAY,EAAE,SAAS,qBAAqB,IAAI,EAAE,gBAAgBA,yFAAyF,IAAI6lD,EAAE,CAAC,CAAC,KAAM,QAAO7lD,CAAC,CAAC,SAAS62D,GAAG72D,EAAE,EAAE,CAAC,OAAOwzB,EAAE,IAAI,CAAC,IAAItzB,EAAEi5B,EAAE,GAAGmQ,GAAG,CAAC,CAAC,EAAEhpC,EAAE8oD,GAAG7kB,GAAG,EAAErkC,CAAC,EAAEF,EAAE,KAAK,EAAE,OAAOmoC,GAAGpH,GAAG/gC,EAAEM,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAASw2D,GAAG92D,EAAE,EAAE,CAAC,OAAOwzB,EAAE,IAAI41B,GAAGroB,GAAG9G,GAAGj6B,EAAE,EAAE,EAAEi6B,GAAG,EAAE,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,SAAS88B,GAAG/2D,EAAE,EAAE,CAAC,OAAOwzB,EAAE,IAAIhD,GAAE0S,GAAG6D,GAAGhG,GAAG/gC,EAAE,CAAC,EAAE+gC,GAAG,EAAE,CAAC,CAAC,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,SAASi2B,GAAGh3D,EAAE,EAAE,CAAC,OAAOwzB,EAAE,IAAIhD,GAAE0S,GAAG6D,GAAGhG,GAAG/gC,EAAE,CAAC,EAAE+gC,GAAG,EAAE,CAAC,CAAC,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,SAASk2B,GAAGj3D,EAAE,EAAE,CAAC,OAAOwzB,EAAE,IAAIhD,GAAE0S,GAAG6D,GAAGhG,GAAG/gC,EAAE,CAAC,EAAE+gC,GAAG,EAAE,CAAC,CAAC,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,SAASm2B,GAAGl3D,EAAE,EAAE,CAAC,OAAOwzB,EAAE,IAAI,CAAC,IAAItzB,EAAE62D,GAAG/2D,EAAE,CAAC,EAAEM,EAAE22D,GAAGj3D,EAAE,CAAC,EAAEO,EAAEs4B,EAAE34B,EAAEI,CAAC,EAAE,OAAOkwB,GAAEyQ,GAAGsD,GAAGhkC,EAAE,CAAC,EAAE04B,GAAG/4B,EAAEK,CAAC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,SAAS42D,GAAGn3D,EAAE,EAAE,CAAC,OAAOwzB,EAAE,IAAI,CAAC,IAAItzB,EAAE62D,GAAG/2D,EAAE,CAAC,EAAEM,EAAE02D,GAAGh3D,EAAE,CAAC,EAAEO,EAAEs4B,EAAE34B,EAAEI,CAAC,EAAE,OAAOkwB,GAAEyQ,GAAGsD,GAAGhkC,EAAE,CAAC,EAAE04B,GAAG/4B,EAAEK,CAAC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,SAAS62D,GAAGp3D,EAAE,EAAE,CAAC,OAAOu2D,GAAGv2D,EAAE,CAAC,CAAC,CAAC,SAASq3D,GAAGr3D,EAAE,EAAE,CAAC,OAAOA,EAAE,OAAO,EAAE,OAAOA,EAAEuvC,GAAGvvC,EAAE,CAACA,EAAE,KAAK,CAAC,CAAC,GAAG,EAAEi6B,GAAG,EAAE,EAAE,EAAE,EAAE,QAAQj6B,EAAE,QAAQ,EAAEwwB,GAAE,EAAExwB,EAAE,KAAK,GAAGwwB,GAAEuQ,GAAG/gC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIs3D,GAAG1B,GAAG2B,GAAG3B,GAAG4B,GAAG3B,GAAG4B,GAAG5B,GAAG6B,GAAG5B,GAAG6B,GAAG7B,GAAG8B,GAAGxB,GAAGyB,GAAGnB,GAAGoB,GAAGzB,GAAG0B,GAAG,CAAC,eAAelB,GAAG,oBAAoBC,GAAG,UAAUI,GAAG,wBAAwBU,GAAG,8BAA8BE,GAAG,IAAIR,GAAG,IAAIC,GAAG,IAAIC,GAAG,IAAIC,GAAG,KAAKC,GAAG,KAAKC,GAAG,OAAOE,EAAE,EAAE,SAASG,GAAGh4D,EAAE,CAAC,GAAG,OAAOA,GAAG,UAAUA,KAAK+3D,GAAG,OAAOA,GAAG/3D,GAAG,GAAG,OAAOA,GAAG,UAAUA,GAAG,KAAK,OAAOA,EAAE,MAAM,IAAI6lD,EAAE,kBAAkB7lD,GAAG,CAAC,CAAC,SAASi4D,GAAGj4D,EAAE,CAAC,GAAGkmD,GAAGlmD,IAAI,KAAK,0BAA0BA,GAAG,EAAE,OAAOA,GAAG,SAAS,OAAOA,EAAE,CAAC,IAAI,EAAE,QAAQE,KAAK,OAAO,KAAKy2D,EAAE,EAAE,GAAGA,GAAGz2D,KAAKF,EAAE,CAAC,EAAEE,EAAE,KAAK,CAAC,GAAG,IAAI,OAAO,OAAO,EAAE,QAAQA,KAAK,OAAO,KAAK63D,EAAE,EAAE,GAAGA,GAAG73D,KAAKF,EAAE,CAAC,EAAEE,EAAE,KAAK,CAAC,OAAO,IAAI,OAAO,EAAEF,EAAE,IAAI,CAAC,CAAC,SAASk4D,GAAGl4D,EAAE,CAAC,IAAI,EAAE,CAAC,QAAQ,IAAIk6C,GAAG,QAAQ,GAAG,EAAE,SAAS,IAAIA,GAAG,SAAS,EAAE,IAAIgP,GAAG,CAAC,EAAE,KAAK,IAAIhP,GAAG,KAAK,KAAK,GAAG,KAAKgP,GAAG,CAAC,EAAE,OAAO,IAAIhP,GAAG,OAAO,KAAK,GAAG,KAAKgP,GAAG,EAAE,CAAC,EAAE,QAAQ,IAAIhP,GAAG,QAAQ,KAAK,GAAG,EAAEgP,GAAG,CAAC,EAAE,IAAI,IAAIhP,GAAG,IAAI,GAAG,CAAC,EAAE,GAAG,EAAE,QAAQ,EAAE,QAAQ,EAAE,SAAS,EAAE,SAAS,EAAE,KAAK,EAAE,KAAK,EAAE,OAAO,EAAE,OAAO,EAAE,QAAQ,EAAE,QAAQ,EAAE,IAAI,EAAE,IAAIl6C,KAAK,EAAE,OAAO,EAAEA,GAAG,EAAE,MAAM,IAAI6lD,EAAE,qBAAqB7lD,GAAG,CAAC,CAAC,SAASm4D,GAAGn4D,EAAE,EAAEE,EAAE,GAAG,CAAC,GAAGF,GAAG,MAAM,OAAOA,GAAG,UAAU,OAAO,eAAeA,CAAC,IAAI,OAAO,WAAW,CAACo4D,GAAGp4D,CAAC,EAAE,MAAM,IAAI,MAAM,oEAAoE,EAAE,GAAGE,EAAE,CAAC,IAAII,EAAE,KAAK,UAAUN,CAAC,EAAEM,EAAE,OAAO,SAAS,QAAQ,KAAK,mCAAmC,mCAAmCA,EAAE,qJAAqJ,UAAU,CAAC,CAAC,CAAC,SAAS83D,GAAGp4D,EAAE,CAAC,GAAGA,IAAI,KAAK,MAAM,GAAG,GAAG,OAAOA,GAAG,SAAS,GAAG,OAAO,eAAeA,CAAC,IAAI,OAAO,UAAU,CAAC,IAAI,EAAE,OAAO,KAAKA,CAAC,EAAE,QAAQE,KAAK,EAAE,GAAG,OAAOA,GAAG,UAAU,CAACk4D,GAAGp4D,EAAEE,EAAE,EAAE,MAAM,GAAG,MAAM,EAAE,SAAS,MAAM,QAAQF,CAAC,EAAE,CAAC,QAAQ,KAAKA,EAAE,GAAG,CAACo4D,GAAG,CAAC,EAAE,MAAM,GAAG,MAAM,EAAE,KAAM,OAAM,OAAO,CAAC,IAAI,EAAE,OAAOp4D,EAAE,OAAO,IAAI,UAAU,IAAI,UAAU,IAAI,SAAS,CAAC,CAAC,SAASq4D,GAAGr4D,EAAE,EAAEE,EAAEI,EAAE,QAAQ,IAAI,CAAC,IAAIC,EAAE+3D,GAAGt4D,CAAC,EAAE,EAAE,CAAC,eAAe,cAAc,eAAe,SAAS,EAAEO,GAAG,EAAE,GAAG,GAAGL,EAAEA,GAAG,CAAC,IAAI,IAAI,IAAI,CAAC,IAAI,EAAE,GAAG,IAAIA,EAAEA,GAAG,CAAC,IAAI,IAAI,GAAG,GAAG,CAAC,GAAGA,EAAEA,EAAE,OAAO,IAAI,IAAIA,EAAEA,EAAE,IAAI0C,GAAG,KAAK,MAAM,EAAEA,CAAC,CAAC,GAAG,IAAI,EAAE,GAAG,CAACrC,EAAE,CAAC,EAAE,KAAK,iBAAiB,EAAE,EAAE,CAAC,EAAE,QAAQqC,KAAK5C,EAAE,aAAa,EAAE,KAAK,GAAGA,EAAE,aAAa4C,EAAE,CAAC,CAACtC,EAAE,IAAI,OAAO,CAAC,CAAC,EAAEi4D,GAAG,EAAEr4D,EAAEI,CAAC,EAAEA,EAAE,IAAI,OAAO,CAAC,CAAC,EAAE,IAAI2B,EAAEjC,EAAE,OAAO,QAAQ4C,EAAE,EAAEA,EAAEX,EAAE,OAAO,EAAEW,EAAErC,EAAEi4D,GAAGv2D,EAAEW,GAAG1C,EAAEI,CAAC,EAAEm4D,GAAGx2D,EAAEW,GAAG1C,EAAE,EAAEI,CAAC,EAAEA,GAAGsC,IAAIX,EAAE,OAAO,EAAE,IAAI,KAAK,OAAO,CAAC,CAAC,EAAEjC,EAAE,iCAAiC,EAAE,IAAIkC,EAAEw2D,GAAG14D,CAAC,EAAEmC,EAAEoqD,GAAGvsD,EAAE,mBAAmB,EAAEM,EAAE,iBAAiB4B,EAAEC,GAAG,EAAE7B,EAAE,qBAAqB4B,GAAG,EAAE5B,EAAE,yBAAyB6B,GAAG,EAAE7B,EAAE,IAAI,OAAO,CAAC,CAAC,CAAC,CAAC,SAASo4D,GAAG14D,EAAE,CAAC,IAAI,EAAE,OAAOA,EAAE,2BAA2B,KAAK,EAAEusD,GAAGvsD,EAAE,yBAAyB,EAAE,EAAEusD,GAAGvsD,EAAE,gBAAgB,EAAE,CAAC,CAAC,SAASs4D,GAAGt4D,EAAE,CAAC,IAAI,EAAE,GAAGE,EAAE,CAAC,EAAEI,EAAE,CAAC,EAAE,QAAQC,KAAKP,EAAE,aAAaE,EAAE,KAAKF,EAAE,aAAaO,EAAE,EAAE,QAAQA,KAAKL,EAAE,CAAC,GAAGK,EAAE,OAAO,GAAGA,EAAE,SAAS,GAAGA,EAAE,GAAG,cAAc,OAAO,EAAE,CAAC,EAAE,GAAG,KAAK,CAACD,EAAE,KAAK,GAAGC,CAAC,CAAC,CAAC,GAAG,EAAE,QAAQA,KAAKP,EAAE,OAAO,CAAC,IAAI,EAAE,GAAG,QAAQ,KAAKO,EAAE,aAAa,GAAGD,EAAE,QAAQ,CAAC,IAAI,GAAG,GAAG,EAAE,CAAC,EAAE,GAAG,KAAK,MAAM,EAAE,GAAG,GAAG,CAAC,EAAE,KAAK,CAAC,OAAO,CAAC,CAAC,SAASi4D,GAAGv4D,EAAE,EAAEE,EAAE,QAAQ,IAAI,CAAC,IAAII,EAAE,GAAG,QAAQC,EAAE,EAAEA,EAAEP,EAAE,OAAO,EAAEO,EAAEA,EAAE,IAAID,EAAEA,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,EAAE,KAAKA,GAAGN,EAAEO,GAAGD,EAAEA,EAAE,MAAM,EAAE,EAAEC,EAAE,EAAED,GAAG,IAAI,OAAO,EAAEC,GAAGD,EAAE,MAAM,EAAEJ,EAAEI,CAAC,CAAC,CAAC,SAASk4D,GAAGx4D,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEC,EAAE,GAAG,CAACA,EAAEP,EAAE,aAAa,IAAIkC,GAAG,KAAK,UAAUA,EAAE,WAAW,CAAC,EAAE,KAAK,GAAG,CAAC,OAAOA,EAAN,CAAS3B,EAAE,UAAU,CAAC,GAAG,CAACD,EAAE,KAAK,UAAUN,EAAE,WAAW,CAAC,OAAOkC,EAAN,CAAS5B,EAAE,UAAU,CAAC,IAAI,EAAEN,EAAE,KAAK,EAAEA,EAAE,aAAa,EAAEiC,EAAE,CAAC,GAAG,MAAM,KAAK1B,EAAED,EAAEN,EAAE,YAAY,EAAE,SAAS,CAAC,EAAEu4D,GAAGt2D,EAAE,EAAE/B,CAAC,CAAC,CAAC,SAASu4D,GAAGz4D,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAE,EAAE,GAAG,CAAC,EAAEP,EAAE,aAAa,IAAI6C,GAAG,KAAK,UAAUA,EAAE,WAAW,CAAC,EAAE,KAAK,GAAG,CAAC,OAAOA,EAAN,CAAS,EAAE,UAAU,CAAC,GAAG,CAACtC,EAAE,KAAK,UAAUP,EAAE,WAAW,CAAC,OAAO6C,EAAN,CAAStC,EAAE,UAAU,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQsC,KAAK7C,EAAE,aAAa,GAAG,EAAEE,GAAG,MAAMA,EAAE,OAAO,GAAGA,EAAE,QAAQ2C,CAAC,IAAI,IAAI,QAAQC,EAAE,EAAEA,EAAED,EAAE,cAAc,OAAO,EAAEC,EAAE,CAAC,IAAIC,EAAEF,EAAE,cAAcC,GAAG,KAAKE,EAAEH,EAAE,YAAYC,GAAGoB,EAAErB,EAAE,cAAcC,GAAG,EAAE,KAAK,GAAGC,KAAKC,MAAMkB,IAAI,CAAC,CAAC,IAAIjC,EAAEjC,EAAE,KAAKkC,EAAElC,EAAE,aAAa,EAAEmC,EAAE,EAAE,SAAS,EAAE,GAAG,EAAE,GAAGS,EAAE,CAAC,GAAGX,MAAMC,KAAK,EAAE3B,EAAEP,EAAE,YAAY,EAAE,SAAS,EAAEmC,CAAC,EAAEo2D,GAAG31D,EAAE,EAAEtC,CAAC,EAAE,QAAQuC,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE01D,GAAG,CAAC,GAAG,GAAG,GAAG,GAAG,EAAE11D,EAAE,EAAE,EAAEvC,CAAC,CAAC,CAAC,SAASq4D,GAAG34D,EAAE,EAAEE,EAAE,CAAC,OAAOF,IAAI,gBAAgBA,IAAI,gBAAgBA,IAAI,gBAAgB,IAAI,GAAG,OAAOE,GAAG,QAAQ,CAAC,SAAS04D,GAAG54D,EAAE,EAAE,CAAC,GAAGA,IAAI,KAAK,OAAO,KAAK,GAAG,OAAOA,GAAG,SAAS,OAAOumD,GAAGvmD,CAAC,EAAE,GAAG,OAAOA,GAAG,UAAU,OAAOA,GAAG,UAAU,OAAOA,EAAE,GAAGA,aAAa,MAAM,CAAC,IAAIE,EAAE,CAAC,EAAEI,EAAEN,EAAE,OAAO,QAAQO,EAAE,EAAEA,EAAED,EAAE,EAAEC,EAAE,CAAC,IAAI,EAAEP,EAAEO,GAAGo4D,GAAG,EAAEp4D,EAAE,CAAC,EAAEL,EAAE,KAAK,CAAC,EAAEA,EAAE,KAAK04D,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,OAAO14D,CAAC,KAAK,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQI,KAAK,OAAO,KAAKN,CAAC,EAAE,CAAC,IAAIO,EAAEP,EAAEM,GAAG,GAAGA,IAAI,QAAQ,OAAOC,GAAG,SAASL,EAAEI,GAAGC,MAAM,CAAC,IAAI,EAAEgmD,GAAGjmD,CAAC,EAAEJ,EAAE,GAAG04D,GAAGr4D,EAAE,CAAC,CAAC,CAAC,CAAC,OAAOL,CAAC,CAAC,CAAC,SAAS24D,GAAG74D,EAAE,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,KAAK,GAAG,OAAOA,GAAG,SAAS,OAAOsmD,GAAGtmD,CAAC,EAAE,GAAG,OAAOA,GAAG,UAAU,OAAOA,GAAG,UAAU,OAAOA,EAAE,GAAGA,aAAa,MAAM,CAAC,IAAIE,EAAE,CAAC,EAAEI,EAAEN,EAAE,OAAO,QAAQO,EAAE,EAAEA,EAAED,EAAE,EAAEC,EAAE,CAAC,IAAI,EAAEP,EAAEO,GAAGo4D,GAAG,EAAEp4D,EAAE,CAAC,EAAEL,EAAE,KAAK,CAAC,EAAEA,EAAE,KAAK24D,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,OAAO34D,CAAC,KAAK,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQI,KAAK,OAAO,KAAKN,CAAC,EAAE,CAAC,IAAIO,EAAEP,EAAEM,GAAG,EAAEgmD,GAAGhmD,CAAC,GAAGA,IAAI,QAAQA,IAAI,cAAc,OAAOC,GAAG,SAASL,EAAE,GAAGK,EAAEL,EAAE,GAAG24D,GAAGt4D,EAAED,CAAC,CAAC,CAAC,OAAOJ,CAAC,CAAC,CAAC,IAAI44D,GAAG,SAAaC,GAAG,cAAc7L,EAAE,CAAC,YAAYpsD,EAAE,CAAC,GAAG,MAAM,CAAC,CAAC,EAAE,KAAK,eAAe,IAAI,IAAI,KAAK,KAAKA,EAAE,KAAK,KAAK,MAAM,KAAK,CAAC,IAAI,EAAE,KAAK,aAAa,EAAE,YAAY,EAAE,KAAK,KAAK2mD,GAAG,CAAC,CAAC,CAAC,GAAG,KAAK,gBAAgB,GAAG,KAAK,WAAW,GAAG,MAAM,QAAQ3mD,EAAE,MAAM,EAAE,KAAK,OAAOA,EAAE,OAAO,MAAM,EAAE,KAAK,OAAO,CAACA,EAAE,MAAM,EAAE,MAAM,QAAQA,EAAE,OAAO,EAAE,KAAK,QAAQA,EAAE,QAAQ,MAAM,EAAE,KAAK,QAAQ,CAACA,EAAE,OAAO,EAAEgmD,GAAG,KAAK,MAAM,EAAE,SAAS,KAAK,OAAO,OAAO,MAAM,IAAIjB,EAAE,mGAAmG,KAAK,OAAO,IAAI,GAAG,EAAE,IAAI,GAAG,EAAEiB,GAAG,KAAK,OAAO,EAAE,SAAS,KAAK,QAAQ,QAAQ,QAAQ,KAAK,qGAAqG,KAAK,QAAQ,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,uBAAuB,CAAC,EAAE,KAAK,yBAAyB,CAAC,EAAE,KAAK,aAAa,CAAC,EAAE,KAAK,wBAAwB,CAAC,EAAE,KAAK,0BAA0B,CAAC,EAAE,KAAK,OAAO,CAAC,EAAE,KAAK,sBAAsB,CAAC,EAAE,QAAQ,KAAK,KAAK,QAAQ,CAAC,IAAIniD,EAAE,EAAE,YAAYC,EAAE,EAAE,UAAUC,EAAE,EAAE,YAAY,KAAK,aAAa,KAAKF,CAAC,EAAE,KAAK,wBAAwB,KAAKC,CAAC,EAAE,KAAK,0BAA0B,KAAKC,CAAC,CAAC,CAAC,QAAQ,KAAK,KAAK,OAAO,CAAC,IAAIF,EAAE,EAAE,YAAYC,EAAE,EAAE,UAAUC,EAAE,EAAE,YAAYqhD,GAAGthD,IAAI,EAAE,0BAA0B,EAAEshD,GAAGrhD,IAAI,EAAE,4BAA4B,EAAE,KAAK,YAAY,KAAKF,CAAC,EAAE,KAAK,uBAAuB,KAAKC,CAAC,EAAE,KAAK,yBAAyB,KAAKC,CAAC,CAAC,CAAC,KAAK,WAAW,CAAC,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,gBAAgB,CAAC,EAAE,KAAK,eAAe,CAAC,EAAE,KAAK,gBAAgB,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAE,KAAK,YAAY,OAAO,IAAI,CAAC,IAAIF,EAAE,KAAK,YAAY,GAAG,GAAG,EAAEA,aAAa2oD,IAAI,MAAM,IAAI,UAAU,8EAA8ExsD,EAAE,iBAAiB,0CAA0C6D,EAAE,aAAa,IAAI,EAAE,KAAK,WAAW,KAAKA,EAAE,IAAI,EAAE,KAAK,gBAAgB,KAAKA,EAAE,eAAe,EAAE,KAAK,eAAe,KAAKA,EAAE,IAAI,CAAC,CAAC,QAAQ,KAAK,KAAK,aAAa,KAAK,YAAY,KAAK,EAAE,IAAI,EAAE,KAAK,oBAAoB,KAAK,OAAO,IAAI,GAAG,EAAE,KAAK,EAAE,KAAK,qBAAqB,KAAK,QAAQ,IAAI,GAAG,EAAE,KAAK,EAAE,IAAIzE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEK,EAAE,CAAC,EAAEwB,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAEyC,EAAEC,EAAEC,EAAEC,EAAE0C,IAAI,EAAE3C,GAAG,MAAMC,GAAG,MAAM0C,GAAG,QAAQ3C,EAAE,EAAE,YAAYC,EAAE,EAAE,UAAU0C,EAAE,EAAE,aAAa,IAAIxC,EAAEH,EAAE,aAAaC,GAAG,GAAGF,EAAE,QAAQI,CAAC,IAAI,GAAG,MAAM,IAAI4gD,GAAG,cAAc,EAAE,kBAAkB/gD,EAAE,2BAA2B,EAAE,GAAGF,EAAE,QAAQK,CAAC,IAAI,GAAG,OAAO,KAAK,eAAe,IAAI+zD,GAAG,QAAQl0D,EAAEC,CAAC,CAAC,EAAED,EAAE,MAAM7C,IAAIA,EAAE6C,EAAE,IAAI,OAAO,KAAK7C,CAAC,EAAE,QAAQ4C,EAAE,QAAQI,CAAC,IAAI,IAAIJ,EAAE,KAAKI,CAAC,EAAE,IAAIyC,EAAEzC,EAAE,cAAc,OAAO,QAAQC,EAAE,EAAEA,EAAEwC,EAAExC,IAAI,CAAC,IAAIC,EAAEF,EAAE,aAAaC,GAAGE,EAAEH,EAAE,cAAcC,GAAGG,EAAEJ,EAAE,YAAYC,GAAGI,EAAEL,EAAE,cAAcC,GAAG/C,EAAEgD,EAAEP,EAAEC,EAAEO,EAAEC,EAAEC,CAAC,CAAC,CAAC,IAAIV,EAAE,KAAKK,CAAC,EAAEJ,EAAE,QAAQI,CAAC,GAAG,GAAGJ,EAAE,OAAOA,EAAE,QAAQI,CAAC,EAAE,CAAC,EAAE/C,EAAE,KAAK+C,CAAC,CAAC,EAAE,EAAE,CAAC,EAAEpC,EAAE,CAAC,EAAE,QAAQ,KAAK,KAAK,QAAQV,EAAE,EAAE,EAAEU,CAAC,EAAE,IAAI,EAAEX,EAAE,MAAM,EAAE,QAAQ,EAAE,QAAQ,KAAK,EAAE,CAAC,EAAE,EAAE,IAAI,EAAE,EAAE,MAAM/B,IAAIA,EAAE,EAAE,IAAI,GAAG,IAAIyE,EAAEzE,EAAE,EAAE,IAAI0E,EAAErE,EAAE,EAAE,cAAc,KAAK,KAAK,EAAEA,EAAE,EAAE,cAAc,IAAIoE,EAAE,KAAK,IAAIA,EAAEC,CAAC,EAAErE,EAAE,EAAE,cAAc,IAAIoE,EAAE5C,EAAE,EAAE,cAAc,IAAI,EAAE,cAAc7B,EAAE,EAAE,IAAIyE,EAAE,QAAQE,EAAE,EAAEA,EAAE,EAAE,cAAc,OAAOA,IAAI,CAAC,IAAIC,EAAE,EAAE,cAAcD,GAAG2C,EAAE,EAAE,YAAY3C,GAAGG,EAAEF,EAAE,aAAa0C,GAAGC,EAAEvH,EAAE8E,EAAE,KAAK,KAAK,EAAE9E,EAAE8E,EAAE,IAAI9E,EAAE8E,EAAE,IAAI,KAAK,IAAIL,EAAE,EAAE8C,CAAC,EAAE,EAAEzC,EAAE,IAAIA,CAAC,CAAC,CAAC,IAAIlC,EAAE,CAAC,EAAE,QAAQ,KAAK5C,EAAE,CAAC,IAAIyE,EAAEzE,EAAE,GAAGyE,KAAK7B,IAAIA,EAAE6B,GAAG,CAAC,GAAG7B,EAAE6B,GAAG,KAAK,EAAE,EAAE,CAAC,CAAC,IAAI5B,EAAE,CAAC,EAAE,QAAQ,KAAKxC,EAAE,CAAC,IAAIoE,EAAEpE,EAAE,GAAGoE,KAAK5B,IAAIA,EAAE4B,GAAG,CAAC,GAAG5B,EAAE4B,GAAG,KAAK5C,EAAE,EAAE,CAAC,CAAC,IAAIiB,EAAE,OAAO,KAAKD,CAAC,EAAE,IAAI,GAAG,SAAS,EAAE,EAAE,CAAC,EAAE,KAAK8jD,EAAE,EAAE,KAAK,OAAO,CAAC,EAAE,QAAQ,KAAK7jD,EAAE,CAAC,IAAI2B,EAAE5B,EAAE,GAAG4B,EAAE,KAAK,CAACC,EAAEC,IAAI,CAAC,IAAIC,EAAE9C,EAAE4C,EAAE,IAAI4C,EAAExF,EAAE6C,EAAE,IAAI,OAAOC,EAAE0C,EAAE,GAAG1C,EAAE0C,EAAE,EAAE,CAAC,CAAC,EAAE,QAAQ5C,KAAKD,EAAEC,aAAam0D,IAAI,KAAK,sBAAsB,KAAKn0D,CAAC,EAAE,KAAK,OAAO,KAAKA,CAAC,CAAC,CAAC,KAAK,cAAc7B,EAAEC,EAAE,OAAO,KAAKF,CAAC,EAAE,IAAI,GAAG,SAAS,EAAE,EAAE,CAAC,EAAE,KAAK+jD,EAAE,EAAE,IAAI3iD,EAAE,KAAK,OAAO,MAAM,EAAEC,EAAE,CAAC,EAAE,QAAQ,KAAKnB,EAAE,QAAQ2B,KAAK7B,EAAE,GAAG,CAAC,IAAI8B,EAAED,EAAE,cAAc,GAAGC,GAAG,KAAK,CAAC,QAAQC,KAAKF,EAAE,aAAa,GAAGT,EAAE,QAAQW,CAAC,IAAI,GAAG,MAAM,IAAI+gD,GAAG,sDAAsD/gD,eAAeD,EAAE,qEAAqET,GAAG,EAAE,QAAQU,KAAKF,EAAE,cAAcT,EAAE,KAAKW,CAAC,EAAEV,EAAE,KAAKS,EAAE,IAAI,CAAC,CAAC,CAAC,KAAK,aAAa9B,EAAE,IAAIyE,EAAE,KAAK,OAAO,IAAI,GAAG,EAAE,IAAI,EAAE,QAAQ,KAAKA,EAAE,CAAC,IAAI5C,EAAE4C,EAAE,OAAO3C,GAAGA,IAAI,CAAC,EAAE,OAAO,GAAGD,IAAI,EAAE,MAAM,IAAIihD,GAAG,aAAa,cAAcjhD,wEAAwE,KAAK,UAAU4C,CAAC,CAAC,CAAC,CAAC,KAAK,cAAc,CAAC,EAAE,KAAK,aAAa,CAAC,EAAE,IAAIylD,GAAG,CAAC,cAAc,KAAK,cAAc,CAAC,EAAE,YAAY,CAAC,EAAE,cAAc,CAAC,EAAE,aAAa,KAAK,OAAO,cAAc,KAAK,QAAQ,WAAW,KAAK,OAAO,IAAI,GAAG,IAAI,EAAE,YAAY,KAAK,QAAQ,IAAI,GAAG,IAAI,EAAE,YAAY,KAAK,OAAO,IAAI,GAAG,EAAE,KAAK,EAAE,aAAa,KAAK,QAAQ,IAAI,GAAG,EAAE,KAAK,CAAC,CAAC,EAAE,KAAK,MAAM,GAAG,KAAK,UAAU,CAAC,CAAC,mBAAmB,CAAC,GAAG,KAAK,YAAY,EAAE,MAAM,IAAI,MAAM,cAAc,KAAK,4BAA4B,CAAC,CAAC,SAAS,CAAC,KAAK,kBAAkB,EAAE,IAAIlsD,EAAE,CAAC,qBAAqB,KAAK,qBAAqB,CAAC,EAAE,GAAG,EAAE,KAAK,YAAY,EAAE,CAAC,QAAQZ,KAAK,KAAK,OAAOY,EAAE,sBAAsBZ,EAAE,QAAQ,EAAE,qBAAqB,QAAQA,KAAK,KAAK,sBAAsBY,EAAE,sBAAsBZ,EAAE,QAAQ,EAAE,oBAAoB,CAAC,OAAOY,EAAE,qBAAqB,KAAK,UAAUA,CAAC,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,UAAU,CAAC,IAAI,UAAUA,EAAE,CAAC,KAAK,OAAO,QAAQZ,GAAG,CAACA,EAAE,kBAAkB,QAAQ,GAAG,EAAE,UAAUY,CAAC,CAAC,CAAC,EAAE,KAAK,WAAWA,CAAC,CAAC,IAAI,kBAAkB,CAAC,GAAG,KAAK,kBAAkB,OAAO,EAAE,MAAM,IAAI+kD,EAAE,sNAAsN,EAAE,GAAG,CAAC,KAAK,UAAU,MAAM,CAAC,EAAE,IAAI/kD,EAAE,CAAC,EAAE,QAAQZ,KAAK,KAAK,OAAOY,EAAEA,EAAE,OAAOZ,EAAE,gBAAgB,EAAE,OAAOY,CAAC,CAAC,IAAI,qBAAqB,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQZ,KAAK,KAAK,OAAOY,EAAE,KAAK,GAAGZ,EAAE,mBAAmB,EAAE,GAAG,CAAC,KAAK,UAAU,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQ,KAAK,KAAK,OAAOA,EAAE,KAAK,GAAG,EAAE,gBAAgB,EAAE,OAAOA,EAAE,OAAOY,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,IAAI,SAAS,CAAC,OAAO,KAAK,iBAAiB,OAAO,KAAK,mBAAmB,CAAC,CAAC,YAAYA,EAAEZ,EAAE,GAAG,CAAC,IAAI,EAAE,CAAC,EAAEK,EAAE,EAAE,QAAQyB,KAAK,KAAK,OAAO,QAAQC,KAAKD,EAAE,QAAQ,CAAC,GAAG,EAAEC,EAAE,eAAe,KAAK,MAAM,IAAI4jD,EAAE,0BAA0B5jD,EAAE,cAAc,EAAE,EAAEA,EAAE,cAAcA,EAAE1B,GAAG,CAAC,IAAIwB,EAAE,CAAC,EAAE,QAAQC,KAAKlB,EAAE,CAAC,IAAImB,EAAED,EAAE,GAAG,EAAEA,IAAI,KAAK,CAAC,IAAIE,EAAEF,EAAE,MAAM,GAAG,EAAEC,EAAEC,EAAE,MAAM,EAAE,EAAE,EAAE,OAAO,CAACA,EAAEA,EAAE,OAAO,EAAE,CAAC,EAAE,KAAK,GAAG,CAAC,CAAC,GAAG,EAAED,IAAI,KAAKF,EAAE,KAAK,CAAC,EAAEE,GAAGnB,EAAEkB,EAAE,CAAC,UAAU9B,EAAE,MAAM,IAAI2lD,EAAE,gDAAgD7jD,GAAG,EAAE,OAAO,EAAEC,EAAE,CAAC,GAAG/B,EAAE,CAAC,IAAI8B,EAAE,CAAC,EAAE,QAAQC,KAAK,EAAED,EAAE,KAAKC,CAAC,EAAE,GAAGD,EAAE,OAAO,EAAE,MAAM,IAAI6jD,EAAE,GAAG7jD,EAAE,aAAazB,0BAA0ByB,GAAG,CAAC,CAAC4qD,GAAG7qD,CAAC,CAAC,CAAC,eAAe,CAAC,IAAIjB,EAAE,KAAK,UAAU,EAAEZ,EAAE,CAAC,EAAE,OAAOA,EAAE,UAAU,KAAK,aAAa,EAAEA,EAAE,OAAOY,EAAEZ,EAAE,aAAa,eAAe44D,KAAK54D,EAAE,QAAQ,gBAAgBA,CAAC,CAAC,OAAOY,EAAEZ,EAAE,GAAG,CAAC,IAAI,EAAE24D,GAAG,KAAK,cAAc,CAAC,EAAE,OAAO34D,EAAE,KAAK,UAAU,CAAC,EAAE,CAAC,CAAC,KAAKY,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC1yB,EAAEulD,GAAGvlD,CAAC,EAAE,IAAI,EAAE,IAAI2sD,GAAG,QAAQltD,EAAE,EAAEA,EAAE,KAAK,OAAO,OAAO,EAAEA,EAAE,EAAE,IAAI,KAAK,OAAOA,GAAGO,EAAEP,EAAE,EAAE,OAAOstD,GAAG,KAAK,QAAQ,EAAE3tD,CAAC,CAAC,CAAC,CAAC,CAAC,YAAYY,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC1yB,EAAEulD,GAAGvlD,CAAC,EAAE,IAAI,EAAE,OAAOZ,GAAG,KAAK,EAAE+lD,GAAG,KAAKnlD,EAAE,MAAM,EAAE,EAAEulD,GAAGnmD,CAAC,EAAE,KAAK,iBAAiBY,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAAC,IAAIZ,EAAEksD,GAAGtrD,CAAC,EAAE,GAAGZ,EAAE,SAAS,KAAK,YAAY,OAAO,MAAM,IAAI2lD,EAAE,+BAA+B/kD,gBAAgB,KAAK,YAAY,uBAAuB,EAAE,IAAI,EAAE,CAAC,EAAE,QAAQmB,EAAE,EAAEA,EAAE/B,EAAE,OAAO+B,IAAI,CAAC,IAAIC,EAAE,KAAK,YAAYD,GAAG,EAAE/B,EAAE+B,GAAGW,EAAEV,EAAE,KAAK,OAAO,EAAEU,GAAG,CAAC,CAAC,IAAIrC,EAAE,OAAO,KAAK,KAAK,YAAY,EAAE,IAAI0B,GAAG,SAASA,EAAE,EAAE,CAAC,EAAE,KAAK4kD,EAAE,EAAE,GAAGtmD,EAAE,OAAO,EAAE,QAAQ0B,KAAK1B,EAAE,CAAC,IAAI2B,EAAE,KAAK,aAAaD,GAAG,QAAQ,KAAKC,EAAE,CAAC,IAAIU,EAAE,EAAE,cAAc,GAAG,KAAK,YAAY,IAAIsB,GAAGA,EAAE,EAAE,EAAE,QAAQtB,EAAE,EAAE,IAAI,GAAG,SAAS,IAAI,EAAE,CAAC,EAAE,QAAQsB,EAAE,EAAEA,EAAE,EAAE,cAAc,OAAOA,IAAI,CAAC,IAAIC,EAAE,EAAE,cAAcD,GAAGqD,EAAE,EAAE,YAAYrD,GAAG,EAAE,EAAE,cAAcA,GAAGS,EAAE,GAAGR,EAAE,QAAQoD,KAAK,IAAI3C,EAAE,EAAED,GAAG,EAAE,KAAKC,CAAC,CAAC,CAAC,IAAI9B,EAAEF,EAAE,mBAAmBwjD,GAAG,CAAC,CAAC,EAAErjD,EAAEqpD,GAAGtpD,CAAC,EAAEE,EAAEJ,EAAE,aAAa,QAAQ,CAAC,EAAE,QAAQsB,EAAE,EAAEA,EAAEnB,EAAE,OAAOmB,IAAI,CAAC,IAAIC,EAAE,GAAGvB,EAAE,QAAQI,KAAKkB,IAAI,EAAEC,GAAGpB,EAAEmB,EAAE,CAAC,CAAC,CAAC,IAAInC,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,KAAK,aAAa,OAAOA,IAAI,CAAC,IAAIC,EAAE,KAAK,aAAaD,GAAG,EAAE,KAAK,wBAAwBA,GAAGW,EAAE,KAAK,0BAA0BX,GAAG,EAAE,GAAGC,EAAE,QAAQ,KAAKU,IAAIZ,EAAE,KAAK,CAAC,CAAC,CAAC,QAAQC,EAAE,EAAEA,EAAED,EAAE,OAAOC,IAAI,CAAC,IAAIC,EAAEF,EAAEC,GAAGikD,GAAGhkD,KAAK,CAAC,EAAEH,EAAE,KAAK,EAAEG,EAAE,CAAC,CAAC,OAAOkkD,GAAGrkD,CAAC,CAAC,CAAC,iBAAiBjB,EAAEZ,EAAE,CAACA,GAAG,OAAOA,EAAE+lD,GAAG,KAAKnlD,EAAE,MAAM,GAAG,IAAI,EAAE,CAAC,EAAE,QAAQoB,EAAE,EAAEA,EAAE,KAAK,OAAO,OAAO,EAAEA,EAAE,CAAC,IAAI,EAAE,KAAK,OAAOA,GAAGU,EAAE9B,EAAEoB,GAAG,EAAEhC,EAAEgC,GAAG,EAAE,EAAE,IAAI,CAACU,EAAE,CAAC,CAAC,CAAC,IAAIrC,EAAE,OAAO,KAAK,KAAK,YAAY,EAAE,IAAI2B,GAAG,SAASA,EAAE,EAAE,CAAC,EAAE,KAAK2kD,EAAE,EAAE,QAAQ3kD,KAAK3B,EAAE,CAAC,IAAI,EAAE,KAAK,aAAa2B,GAAG,QAAQU,KAAK,EAAE,CAAC,IAAI,EAAEA,EAAE,cAAcE,EAAEF,EAAE,aAAaG,EAAEH,EAAE,cAAcI,EAAE,IAAI,MAAM,QAAQkB,KAAKpB,EAAEoB,EAAE,MAAM,GAAGlB,EAAE,KAAK,EAAEkB,EAAE,GAAG,EAAE,GAAGlB,EAAE,SAASF,EAAE,OAAO,CAAC,IAAIoB,EAAE,CAAC,EAAEC,EAAEoD,EAAE,EAAE5C,EAAE,GAAG/B,EAAE,UAAU,OAAOsB,EAAEtB,EAAE,UAAUI,EAAE,SAAS,EAAE,CAAC,GAAG,CAAC4B,EAAEC,CAAC,EAAE7B,EAAE,GAAGkB,EAAE,MAAM,OAAOA,EAAE,KAAKW,GAAG,EAAEwhD,GAAG,EAAE,KAAKzhD,EAAEV,CAAC,CAAC,EAAES,EAAE0hD,GAAG,EAAE,YAAYzhD,EAAEC,CAAC,CAAC,EAAEV,EAAE,CAACS,CAAC,EAAE2C,EAAE,CAAC1C,CAAC,CAAC,MAAMV,EAAEnB,EAAE,IAAI4B,GAAGA,EAAE,EAAE,EAAE2C,EAAEvE,EAAE,IAAI4B,GAAGA,EAAE,EAAE,EAAEV,EAAE,MAAM,OAAOA,EAAE,KAAKqD,GAAG,EAAE8+C,GAAG,EAAE,KAAKliD,EAAED,CAAC,CAAC,EAAES,EAAE0hD,GAAG,EAAE,YAAYliD,EAAEoD,CAAC,CAAC,EAAE,GAAG,EAAE,oBAAoB,MAAM,IAAIu+C,GAAG,uHAAuH,EAAE,QAAQlhD,EAAE,EAAEA,EAAE7B,EAAE,OAAO,EAAE6B,EAAE,CAAC,IAAIC,EAAE9B,EAAE6B,GAAGE,EAAE,EAAEF,GAAG4C,EAAE7C,EAAEC,GAAG,EAAEC,EAAE,IAAI,CAACC,EAAE0C,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIzF,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,QAAQC,KAAK,KAAK,QAAQ,CAACgkD,GAAGhkD,EAAE,MAAM,EAAE,4BAA4BA,EAAE,UAAUA,EAAE,IAAI,EAAE,GAAG,CAAC,EAAEU,CAAC,EAAE,EAAEV,EAAE,IAAID,EAAE,KAAK,EAAE,KAAK,EAAEF,EAAE,KAAK,CAAC,EAAEC,EAAE,KAAKY,CAAC,CAAC,CAAC,MAAM,CAACb,EAAEC,EAAEC,CAAC,CAAC,CAAC,uBAAuBnB,EAAE,CAAC,IAAIZ,EAAE,CAAC,EAAE,EAAE,QAAQK,KAAK,KAAK,OAAO,CAAC,EAAEA,aAAaw4D,GAAG,EAAE,EAAE,QAAQh3D,EAAE,EAAEA,EAAExB,EAAE,aAAa,OAAOwB,IAAI,CAAC,IAAIC,EAAE+2D,GAAG,QAAQx4D,EAAEwB,CAAC,EAAE,KAAK,eAAe,IAAIC,CAAC,IAAI9B,EAAE8B,GAAG,EAAE,GAAG,EAAE,CAAC,CAAC,OAAO9B,CAAC,CAAC,SAASY,EAAEZ,EAAE,CAAC,GAAGA,GAAG,KAAK,CAAC,GAAG,KAAK,OAAO,QAAQA,EAAE,MAAM,IAAI2lD,EAAE,wCAAwC3lD,yBAAyB,KAAK,OAAO,kBAAkB,EAAE,OAAO,KAAK,OAAOA,EAAE,SAASY,GAAG,KAAK,MAAM,IAAI+kD,EAAE,4CAA4C,EAAE,QAAQ,KAAK,KAAK,OAAO,GAAG,EAAE,OAAO/kD,EAAE,OAAO,EAAE,MAAM,IAAI+kD,EAAE,kBAAkB/kD,GAAG,CAAC,CAAC,iBAAiB,CAAC,OAAO0yB,EAAE,IAAI,CAAC,IAAI1yB,EAAE,CAAC,EAAE,QAAQZ,KAAK,KAAK,OAAO,QAAQ,EAAE,EAAE,EAAEA,EAAE,aAAa,OAAO,EAAE,EAAE,CAAC,IAAIK,EAAEw4D,GAAG,QAAQ74D,EAAE,CAAC,EAAE,KAAK,eAAe,IAAIK,CAAC,GAAGO,EAAE,KAAK,GAAGZ,EAAE,gBAAgB,CAAC,CAAC,CAAC,OAAOY,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,KAAK,KAAK,IAAI,EAAEZ,EAAE,KAAK,uBAAuB,KAAK,MAAM,EAAE,EAAE,CAAC,EAAE,QAAQ8B,KAAK,KAAK,OAAO,CAAC,IAAIC,EAAED,EAAE,aAAa,EAAEE,EAAEF,EAAE,UAAU,EAAE,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,aAAa,OAAO,IAAI,CAAC,IAAIc,EAAEd,EAAE,aAAa,GAAGe,EAAEg2D,GAAG,QAAQ/2D,EAAE,CAAC,EAAEgB,EAAE,CAAC,EAAE,GAAG,KAAK,eAAe,IAAID,CAAC,EAAE,CAAC,GAAGD,EAAE,SAAS,GAAG,CAAC,KAAK,UAAUA,EAAE,QAAQ,EAAEE,EAAEF,EAAE,QAAQ,OAAOoB,EAAN,CAAS,QAAQ,KAAK,SAASlC,EAAE,uDAAuDc,EAAE,iHAAiH,EAAEE,EAAE,CAAC,CAAC,CAAC,GAAGF,EAAE,cAAc,OAAO,EAAE,CAAC,IAAIoB,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAErB,EAAE,cAAc,OAAOqB,IAAI,CAAC,IAAIoD,EAAEzE,EAAE,cAAcqB,GAAG,EAAErB,EAAE,YAAYqB,GAAGQ,EAAE7B,EAAE,cAAcqB,GAAGS,EAAEm0D,GAAG,QAAQxxD,EAAE,CAAC,EAAE1C,EAAE3E,EAAE0E,GAAGC,GAAG,OAAOA,EAAE,GAAGX,EAAE,KAAK,CAACqD,EAAE,KAAK1C,EAAEF,EAAE3B,CAAC,CAAC,CAAC,CAAC,EAAE,KAAKkB,CAAC,CAAC,CAAC,CAAC,CAAC,IAAItB,EAAE,CAAC,EAAEA,EAAE,KAAKZ,EAAE,KAAKY,EAAE,UAAUX,EAAEW,EAAE,OAAOV,EAAEU,EAAE,aAAa,EAAE,EAAE,KAAKA,CAAC,CAAC,CAAC9B,EAAE,OAAO,EAAE,IAAIP,EAAE,CAAC,EAAE,QAAQyB,EAAE,EAAEA,EAAE,KAAK,YAAY,OAAOA,IAAI,CAAC,IAAIC,EAAE,KAAK,YAAYD,GAAGE,EAAE,KAAK,uBAAuBF,GAAG,EAAE+2D,GAAG,QAAQ92D,EAAEC,CAAC,EAAE,GAAG,CAAC,KAAK,eAAe,IAAI,CAAC,EAAE,SAAS,IAAIU,EAAE1C,EAAE,GAAG0C,GAAG,OAAOA,EAAE,GAAG,IAAI,EAAE,KAAK,yBAAyBZ,GAAGzB,EAAE,KAAK,CAAC0B,EAAE,KAAKW,EAAE,CAAC,CAAC,CAAC,CAAC9B,EAAE,YAAYP,EAAE,IAAIwB,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,KAAK,aAAa,OAAOA,IAAI,CAAC,IAAIC,EAAE,KAAK,aAAaD,GAAGE,EAAE,KAAK,wBAAwBF,GAAG,EAAE+2D,GAAG,QAAQ92D,EAAEC,CAAC,EAAE,GAAG,CAAC,KAAK,eAAe,IAAI,CAAC,EAAE,SAAS,IAAIU,EAAE1C,EAAE,GAAG0C,GAAG,OAAOA,EAAE,GAAG,IAAI,EAAE,KAAK,0BAA0BZ,GAAGD,EAAE,KAAK,CAACE,EAAE,KAAKW,EAAE,CAAC,CAAC,CAAC,CAAC,OAAO9B,EAAE,aAAaiB,EAAEjB,CAAC,CAAC,OAAO,WAAWA,EAAEZ,EAAE,EAAE,CAAC,EAAEK,EAAE,GAAG,CAAC,IAAIwB,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,SAASC,EAAEkC,EAAEoD,EAAE,CAACpD,EAAE,QAAQnC,EAAEA,EAAEmC,EAAE,MAAM,KAAKoD,CAAC,EAAEvF,EAAEmC,EAAE,MAAM,CAACoD,CAAC,CAAC,CAAC,SAASrF,EAAEiC,EAAEoD,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE5C,EAAE,QAAQC,KAAK2C,EAAE,CAAC,IAAI1C,EAAED,EAAE,GAAGE,EAAEF,EAAE,GAAG4C,EAAE5C,EAAE,GAAG,GAAGD,EAAEC,EAAE,IAAI,KAAK,CAAC,EAAEA,EAAE,GAAG,EAAEC,KAAK9C,GAAG,CAACE,EAAEkC,EAAEoD,CAAC,EAAE,MAAM,CAAC,IAAIvC,EAAEjD,EAAE8C,GAAG,GAAGG,EAAE,aAAa,QAAQF,EAAE,CAAC7C,EAAEkC,EAAEoD,CAAC,EAAE,MAAM,CAAC,IAAIE,EAAEzC,EAAE,aAAaF,GAAG,EAAE,KAAK2C,EAAE,cAAcD,EAAE,CAAC,CAAC,EAAE,OAAO,GAAGrD,EAAE,MAAMiiD,GAAG,CAAC,EAAEzhD,CAAC,CAAC,CAAC,SAAS,EAAER,EAAE,CAAC,IAAIoD,EAAEpD,EAAE,KAAK,EAAEuxD,GAAGvxD,EAAEjE,EAAE,eAAe,KAAKA,EAAE,cAAc,CAAC,CAAC,EAAE,EAAE,6BAA6BK,CAAC,EAAEwB,EAAEwF,GAAG,EAAEpD,EAAE,aAAa,QAAQS,GAAG,CAAC,GAAG,EAAEA,aAAa,OAAO,MAAM,IAAIihD,EAAE,yDAAyDjhD,GAAG,EAAE3C,EAAE,EAAE2C,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIhC,EAAE1C,EAAE,KAAK,EAAEA,EAAE,OAAO,QAAQiE,KAAK,EAAE,EAAEA,CAAC,EAAE,KAAK,CAAC4iD,GAAG/kD,CAAC,GAAG,QAAQmC,KAAK,EAAE,CAAC,IAAIoD,EAAExF,EAAEoC,EAAE,MAAM,GAAGoD,EAAE,QAAQvF,EAAE,CAAC,IAAI,EAAEA,EAAEuF,EAAE,MAAM,OAAOvF,EAAEuF,EAAE,MAAM,QAAQ5C,KAAK,EAAEzC,EAAEqF,EAAE5C,CAAC,CAAC,CAAC,CAAC,IAAI7B,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAEC,EAAE9C,EAAE,YAAY,QAAQiE,KAAKnB,EAAE,CAAC,IAAIuE,EAAEpD,EAAE,GAAG,EAAEA,EAAE,GAAGQ,EAAER,EAAE,GAAG+hD,GAAG3+C,KAAKxF,CAAC,EAAE,IAAI8C,EAAE9C,EAAEwF,GAAG,aAAa,GAAG,cAAczE,EAAE,KAAK+B,EAAEF,EAAE,CAAC,CAAC,IAAIT,EAAEhE,EAAE,aAAa,QAAQiE,KAAKD,EAAE,CAAC,IAAIqD,EAAEpD,EAAE,GAAG,EAAEA,EAAE,GAAGQ,EAAER,EAAE,GAAG+hD,GAAG3+C,KAAKxF,CAAC,EAAE,IAAI8C,EAAE9C,EAAEwF,GAAG,aAAa,GAAG,cAAcxE,EAAE,KAAK8B,EAAEF,EAAE,CAAC,CAAC,OAAO,IAAI7D,EAAE,CAAC,OAAOgC,EAAE,QAAQC,EAAE,KAAKH,CAAC,CAAC,CAAC,CAAC,IAAI,UAAU,CAAC,GAAG,KAAK,UAAU,MAAM,IAAIijD,EAAE,sLAAsL,EAAE,QAAQ/kD,KAAK,KAAK,OAAO,GAAGA,EAAE,SAAS,MAAM,GAAG,MAAM,EAAE,CAAC,aAAa,CAAC0yB,EAAE,IAAI,CAAC,KAAK,OAAO,QAAQ1yB,GAAG,CAACA,EAAE,UAAUA,EAAE,YAAY,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAASk4D,GAAGh5D,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,EAAE,OAAO,GAAGN,GAAG,MAAM,MAAM,QAAQA,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,EAAE,IAAIO,GAAG,IAAI,EAAE,GAAGD,IAAI,EAAE,OAAO,MAAM,QAAQN,CAAC,GAAGA,EAAE,SAAS,EAAEA,EAAE,OAAOA,GAAG,UAAU,EAAE,KAAKA,EAAE,CAACA,EAAE,EAAE,GAAG,EAAE,CAACA,CAAC,EAAE,GAAG,MAAM,QAAQA,CAAC,EAAE,CAAC,GAAGA,EAAE,SAASM,EAAE,MAAM,IAAI,MAAM,YAAYJ,oBAAoBF,EAAE,wCAAwCM,0EAA0E,EAAE,OAAON,CAAC,SAAS,OAAOA,GAAG,UAAU,OAAO,KAAKA,CAAC,EAAE,OAAO,GAAG,OAAOA,EAAE,OAAO,KAAKA,CAAC,EAAE,KAAK,SAAS,CAAC,IAAIO,EAAE,CAAC,EAAE,OAAO,EAAE,QAAQ,GAAG,CAAC,KAAKP,EAAEO,EAAE,KAAKP,EAAE,EAAE,EAAEO,EAAE,KAAK,IAAI,CAAC,CAAC,EAAEA,CAAC,KAAM,OAAM,IAAI,MAAM,2BAA2BD,kBAAkBJ,kCAAkCI,gCAAgC,oBAAoBJ,qBAAqB,KAAK,UAAUF,CAAC,GAAG,CAAC,CAAC,SAASi5D,GAAGj5D,EAAE,EAAE,CAAC,OAAOg5D,GAAGh5D,EAAE,EAAE,aAAa,CAAC,CAAC,eAAek5D,GAAGl5D,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAG,GAAG,MAAMA,GAAG,KAAK,MAAM,IAAI,MAAM,6CAA6C,EAAE,GAAGJ,GAAG,KAAK,CAAC,IAAIK,EAAEizB,EAAE,IAAI,CAAC,GAAGxzB,EAAE,MAAM,SAAS,EAAE,OAAO0wB,GAAG1wB,CAAC,EAAE,GAAGA,EAAE,MAAM,SAAS,EAAE,CAAC,GAAGA,EAAE,MAAM,GAAG,EAAE,OAAOi6B,GAAGj6B,EAAE,CAAC,EAAE,GAAGA,EAAE,MAAM,KAAK,EAAE,OAAOi8B,EAAEj8B,EAAE,CAACA,EAAE,MAAM,EAAE,CAAC,EAAE,MAAM,IAAI,MAAM,+CAA+CA,EAAE,MAAM,wEAAwE,CAAC,KAAM,OAAM,IAAI,MAAM,yCAAyCA,EAAE,4EAA4E,CAAC,CAAC,EAAE,EAAE,MAAM,KAAK,MAAMO,EAAE,KAAK,CAAC,EAAEkzB,GAAGlzB,CAAC,EAAE,IAAI,EAAE,CAAC,EAAE,OAAO,EAAE,QAAQ0B,GAAG,CAAC,GAAG/B,EAAE+B,IAAI,KAAK,MAAM,IAAI,MAAM,wEAAwEA,6CAA6C,EAAE,EAAE,KAAK/B,EAAE+B,EAAE,CAAC,CAAC,EAAE+tC,GAAG,EAAE,SAAS,CAAC,KAAM,QAAO,IAAI,CAAC,SAASmpB,GAAGn5D,EAAE,EAAE,CAAC,OAAOm5B,EAAEn5B,EAAE,CAAC,CAAC,CAAC,IAAIo5D,GAAG,GAAG,SAASC,GAAGr5D,EAAE,EAAE,CAAC,IAAIE,EAAEI,EAAEC,EAAE,EAAEL,EAAEK,EAAE,GAAGD,EAAEC,EAAE,GAAGsmB,EAAE,OAAO3mB,GAAG,MAAMI,GAAG,KAAK,IAAI,mPAAmP,GAAG,EAAE,IAAI,EAAEg5D,GAAG,QAAQt5D,EAAE,WAAWE,CAAC,EAAE,EAAEo5D,GAAG,SAASt5D,EAAE,YAAYM,CAAC,EAAE2B,EAAE,EAAE,GAAG,MAAM,GAAG4kB,EAAE,OAAO,EAAE,SAAS7mB,EAAE,OAAO,OAAO,IAAI,mBAAmBA,EAAE,OAAO,2CAA2C,EAAE,yCAAyC,KAAK,UAAUA,EAAE,UAAU,IAAI,EAAE6mB,EAAE,OAAO,EAAE,SAAS7mB,EAAE,QAAQ,OAAO,IAAI,mBAAmBA,EAAE,QAAQ,4CAA4C,EAAE,2CAA2C,KAAK,UAAUA,EAAE,WAAW,IAAI,EAAE,QAAQkC,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI2kB,EAAE,OAAO,EAAE3kB,GAAG,MAAM,KAAKD,EAAE,IAAI,8BAA8BjC,EAAE,WAAWkC,UAAU,EAAEA,GAAG,MAAM,iBAAiBD,oBAAoBjC,EAAE,WAAW,KAAK,EAAE,QAAQkC,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI2kB,EAAE,OAAO,EAAE3kB,GAAG,MAAM,KAAKD,EAAE,IAAI,+BAA+BjC,EAAE,YAAYkC,UAAU,EAAEA,GAAG,MAAM,iBAAiBD,oBAAoBjC,EAAE,WAAW,KAAK,EAAE,MAAM,CAAC,GAAG,EAAE,GAAG,CAAC,CAAC,CAAC,SAASs5D,GAAGt5D,EAAE,EAAEE,EAAE,CAAC,GAAGA,aAAa0pB,GAAG,MAAM,CAAC1pB,CAAC,EAAE,GAAG,MAAM,QAAQA,CAAC,EAAE,OAAO2mB,EAAE,OAAO3mB,EAAE,SAAS,EAAE,OAAO,IAAI,wBAAwBA,EAAE,gCAAgC,EAAE,uBAAuBF,UAAU,IAAI,EAAEE,EAAE,CAAC,IAAII,EAAE,CAAC,EAAE,QAAQC,KAAK,EAAE,CAAC,GAAGL,EAAEK,IAAI,KAAK,MAAM,IAAIslD,EAAE,gEAAgE7lD,UAAUO,KAAK,EAAED,EAAE,KAAKJ,EAAEK,EAAE,CAAC,CAAC,OAAOD,CAAC,CAAC,CAAC,SAASi5D,GAAGv5D,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI8lD,GAAG,wDAAwD,EAAE,MAAM,CAAC,GAAG9lD,EAAE,GAAG,GAAGA,EAAE,EAAE,CAAC,CAAC,eAAew5D,GAAGx5D,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEJ,EAAE,iBAAiB,KAAK,GAAG2mB,EAAE,OAAO7mB,EAAE,WAAW,KAAK,IAAI,gGAAgG,EAAE6mB,EAAE,OAAO3mB,GAAG,KAAK,IAAI,+FAA+F,EAAE2mB,EAAE,OAAO3mB,EAAE,QAAQ,MAAMA,EAAE,OAAO,GAAG,OAAO,UAAUA,EAAE,MAAM,EAAE,IAAI,iFAAiFA,EAAE,QAAQ,EAAE2mB,EAAE,OAAO,CAACvmB,GAAGJ,EAAE,gBAAgB,GAAG,OAAO,UAAUA,EAAE,eAAe,EAAE,IAAI,uGAAuGA,EAAE,iBAAiB,EAAE2mB,EAAE,OAAO3mB,EAAE,iBAAiB,KAAK,IAAI,mFAAmF,EAAEF,EAAE,WAAW,MAAM,IAAI,MAAM,8DAA8D,EAAEA,EAAE,WAAW,GAAG,GAAG,CAAC,IAAIO,EAAEL,EAAE,gBAAgB,KAAK,EAAE,EAAE,GAAGK,EAAE,GAAGk5D,GAAGv5D,EAAE,cAAc,EAAE2mB,EAAE,OAAO3mB,EAAE,mBAAmB,MAAMA,EAAE,kBAAkB,GAAG,OAAO,UAAUA,EAAE,iBAAiB,EAAE,IAAI,iJAAiJA,EAAE,mBAAmB,MAAM,CAAC,IAAI,EAAEq5D,GAAGr5D,EAAE,cAAc,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,EAAE,CAAC,IAAI+B,EAAEjC,EAAE,kBAAkB,EAAEkC,EAAElC,EAAE,uBAAuB,EAAEmC,EAAE5B,EAAE4B,EAAED,EAAE,MAAM,EAAE,OAAOA,EAAE,IAAI,GAAG,OAAO,CAAC,CAAC,EAAEC,EAAED,EAAE,MAAM,EAAE,IAAIU,EAAE2yD,GAAGr1D,EAAE,UAAUA,EAAE,UAAU,EAAE2C,EAAE3C,EAAE,SAAS,KAAK,EAAEA,EAAE,QAAQ,CAAC,aAAa4C,EAAE,QAAQC,CAAC,EAAE0yD,GAAG7yD,EAAEC,EAAE3C,EAAE,OAAO,KAAK,KAAKw5D,GAAG,EAAEx5D,CAAC,EAAE,KAAKK,EAAE4B,CAAC,EAAEW,EAAE,SAAS9C,CAAC,EAAEA,EAAE,QAAQ+C,EAAE,MAAMD,EAAE,aAAa,EAAE9C,EAAE,cAAc,GAAG,IAAIgD,EAAE9C,EAAE,cAAc,KAAK,EAAEA,EAAE,aAAagE,EAAE,MAAM,EAAE,SAAS,EAAE,KAAKlB,EAAE9C,EAAE,QAAQ,CAAC,IAAI,EAAE,CAAC,EAAE,MAAM4C,EAAE,aAAaE,CAAC,EAAE,IAAIuE,EAAE,EAAExC,EAAE,EAAE,IAAIzE,IAAI4D,EAAE,MAAM,EAAE,SAAS,GAAG,CAAC5D,GAAGiH,EAAErH,EAAE,iBAAiB,CAAC,IAAIyE,EAAE,MAAMT,EAAE,KAAK,EAAE,GAAG5D,GAAGqE,EAAE,KAAK,CAAC,QAAQ,KAAK,uCAAuCzE,EAAE,oEAAoEqH,2IAA2IrH,EAAE,gBAAgBA,EAAE,wFAAwF,EAAE,KAAK,CAAC,GAAGyE,EAAE,OAAO,KAAK,CAAC,GAAG,CAAC,GAAGC,EAAE,GAAGC,CAAC,EAAEw0D,GAAGr5D,EAAE2E,EAAE,KAAK,EAAEG,EAAE,CAAC,EAAEA,EAAE,MAAMC,EAAED,EAAE,KAAKF,EAAE,GAAG,MAAM,GAAG,MAAM9B,EAAE,aAAaiC,EAAED,CAAC,EAAE,IAAI0C,EAAE,CAAC,EAAE,GAAGtH,EAAE,aAAa,KAAK,CAAC,IAAI+E,EAAEg0D,GAAG/4D,EAAE,YAAYF,EAAE,WAAW,EAAE,QAAQkF,EAAE,EAAEA,EAAED,EAAE,OAAO,EAAEC,EAAEsC,EAAE,KAAK,MAAM0xD,GAAGr0D,EAAEK,GAAG,KAAKD,EAAEC,EAAE,CAAC,CAAC,CAAC,IAAIF,EAAEJ,EAAE,OAAOC,CAAC,EAAE,OAAO2C,CAAC,EAAEC,EAAExF,EAAE+C,CAAC,EAAEyuB,GAAGzuB,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE/C,EAAE,OAAO,EAAE+C,EAAE,CAAC,IAAIC,EAAEhD,EAAE+C,GAAGE,EAAEsC,EAAExC,GAAGH,EAAEI,GAAGC,EAAEuuB,GAAGvuB,CAAC,CAAC,CAAC,MAAMrC,EAAE,WAAWiC,EAAED,CAAC,EAAEiwD,GAAGjwD,CAAC,EAAEC,IAAIwC,GAAG,CAAC,GAAGjH,EAAEiH,GAAGrH,EAAE,gBAAgByE,EAAE,KAAK,CAAC,GAAGpE,EAAE,CAAC,IAAIqE,EAAE60D,GAAGv5D,EAAE,cAAc,EAAE0E,EAAEyhD,GAAG,MAAMrmD,EAAE,gBAAgBE,EAAE,eAAe,CAAC,QAAQA,EAAE,iBAAiB,CAAC,CAAC,EAAE0E,EAAEyhD,GAAGrmD,EAAE,SAAS,EAAE,EAAE,CAAC,UAAUE,EAAE,qBAAqB,KAAKk5D,GAAGl5D,EAAE,oBAAoB,QAAQ,CAAC,CAAC,CAAC,EAAE,QAAQ2E,EAAE,EAAEA,EAAE7E,EAAE,aAAa,OAAO,EAAE6E,EAAE,EAAE,OAAO7E,EAAE,aAAa6E,MAAMD,EAAEC,EAAE,CAAC,KAAK,CAAC,GAAG7E,EAAE,cAAc,KAAK,CAAC,GAAG,MAAM8C,EAAE,WAAWE,EAAE,CAAC,EAAEA,IAAIhD,EAAE,cAAc,KAAK,CAAC,OAAO,MAAM8C,EAAE,WAAW,EAAE,MAAM9C,EAAE,QAAQ,SAAS,EAAEA,EAAE,OAAO,QAAC,CAAQA,EAAE,WAAW,EAAE,CAAC,CAAC,SAAS05D,GAAG15D,EAAE,EAAE,CAAC,IAAIE,EAAE,KAAK,OAAO,EAAE,iBAAiB,KAAKA,EAAE,EAAE,gBAAgB,OAAO,SAASF,EAAE,IAAI,IAAIE,EAAEF,EAAE,MAAME,CAAC,CAAC,SAASu5D,GAAGz5D,EAAE,CAAC,OAAO,OAAOA,EAAE,UAAU,UAAU,CAAC,SAAS25D,GAAG35D,EAAE,CAAC,OAAO,OAAOA,EAAE,MAAM,UAAU,CAAC,eAAe45D,GAAG55D,EAAE,EAAEE,EAAE,CAACA,EAAEA,GAAG,CAAC,EAAE,IAAII,EAAEJ,EAAE,SAAS,KAAKK,EAAEP,EAAE,aAAa,EAAE,CAAC,EAAE,GAAGE,EAAE,QAAQ,EAAE,MAAM,IAAI4lD,GAAG,sCAAsC,EAAEj/B,EAAE,OAAO,CAACvmB,GAAGJ,EAAE,QAAQ,GAAG,OAAO,UAAUA,EAAE,OAAO,EAAE,IAAI,wEAAwE,KAAK,UAAUA,EAAE,OAAO,GAAG,EAAE,IAAI,EAAEy5D,GAAG,CAAC,EAAE,EAAE,MAAM,EAAE,SAAS,EAAE13D,EAAE,EAAEC,EAAE,EAAE,KAAK,CAAC5B,GAAG4B,EAAEhC,EAAE,SAAS,CAAC,IAAIiC,EAAE,MAAM,EAAE,KAAK,EAAE,GAAG,EAAEqxB,EAAE,IAAI,CAAC,GAAGrxB,EAAE,MAAM,CAAC,GAAG,CAAC,GAAGS,EAAE,GAAGC,CAAC,EAAEw2D,GAAGr5D,EAAEmC,EAAE,KAAK,EAAEW,EAAEF,EAAE,OAAOC,CAAC,EAAEE,EAAEywB,EAAE,IAAIjzB,EAAEuC,CAAC,CAAC,EAAE,GAAG2wB,GAAG3wB,CAAC,EAAEZ,IAAI,EAAE,QAAQgC,EAAE,EAAEA,EAAEnB,EAAE,OAAO,EAAEmB,EAAE,EAAE,KAAK0+B,GAAG,CAAC,CAAC,EAAE,IAAI5/B,EAAEF,EAAE,GAAG,MAAM,GAAG,QAAQoB,EAAE,EAAEA,EAAEnB,EAAE,OAAO,EAAEmB,EAAE,CAAC,IAAI,EAAEnB,EAAEmB,GAAGqD,EAAE,EAAErD,GAAG,EAAEA,GAAGsvB,EAAE,IAAIqF,EAAE,EAAE30B,GAAGi1B,EAAEn2B,EAAE,CAAC,CAAC,CAAC,EAAEd,EAAE,GAAGuxB,GAAGlsB,CAAC,CAAC,CAACksB,GAAG1wB,CAAC,EAAEd,GAAGe,EAAE,EAAEd,CAAC,CAAC,OAAO,CAAC,CAAC,EAAEC,EAAE,KAAK,CAAC7B,GAAG,QAAQ,KAAK,gLAAgLJ,EAAE,yFAAyF,EAAE,KAAK,CAAC,CAAC,QAAQiC,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,CAAC,IAAIS,EAAE,EAAET,GAAG,EAAEA,GAAG82B,GAAG,EAAE92B,GAAGF,CAAC,EAAEwxB,GAAG7wB,CAAC,CAAC,CAAC,OAAOwjD,GAAG,CAAC,CAAC,CAAC,SAASyT,GAAG75D,EAAE,CAAC6mB,EAAE,OAAO7mB,EAAE,GAAG,OAAO,UAAUA,CAAC,EAAE,IAAI,2DAA2DA,GAAG,CAAC,CAAC,SAAS85D,GAAG95D,EAAE,EAAEE,EAAE,CAAC,OAAOF,GAAG,KAAK,CAAC,IAAI,EAAE,MAAM,QAAQA,CAAC,EAAEA,EAAE,IAAIM,GAAGopD,GAAGppD,EAAE,EAAEJ,EAAE,CAAC,CAAC,EAAEwpD,GAAG1pD,EAAE,EAAEE,EAAE,CAAC,CAAC,CAAC,SAAS65D,GAAG/5D,EAAE,EAAE,CAAC,OAAOwzB,EAAE,IAAIxzB,GAAG,KAAK,KAAK,MAAM,QAAQA,CAAC,EAAEA,EAAE,IAAIE,GAAG65D,GAAG75D,EAAE,CAAC,CAAC,EAAEgqD,GAAGlqD,EAAE,EAAE,QAAQ,QAAQ,EAAEwwB,GAAE,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,SAASwpC,GAAGh6D,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEI,EAAE,EAAEC,EAAE,KAAK,KAAKD,EAAEN,GAAGO,EAAED,EAAE,EAAEC,GAAGP,IAAIO,EAAEP,GAAGE,EAAE,KAAK,CAACI,EAAEC,CAAC,CAAC,EAAED,EAAEC,EAAE,OAAOL,CAAC,CAAC,eAAe+5D,GAAGj6D,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAEC,EAAEC,EAAEC,EAAEC,EAAE,CAACzC,GAAG,OAAOA,EAAE,IAAI,GAAG,OAAO,EAAE,GAAGqC,GAAG,OAAOA,EAAE,IAAIE,GAAG,OAAOA,EAAE,GAAG,IAAIoB,EAAE,GAAG,GAAGhC,GAAG,MAAMC,GAAG,OAAO+B,EAAE,IAAIlB,GAAG,OAAOkB,EAAE,GAAGnB,GAAG,MAAM,MAAM,IAAI8iD,EAAE,kGAAkG,EAAE,IAAI,EAAE7lD,EAAE,gBAAgBE,EAAEK,EAAEwC,EAAE,iBAAiB,EAAEwE,EAAE,GAAG,OAAOA,EAAEyhD,GAAG,EAAE,CAAC,GAAG,GAAG,OAAO,EAAE,GAAG,GAAG,CAAC,aAAajkD,EAAE,QAAQJ,CAAC,EAAE8wD,GAAGxzD,EAAE,EAAE,EAAEa,EAAE,EAAEC,EAAExC,EAAE2D,EAAErB,CAAC,EAAEkC,EAAE,SAAS/E,CAAC,EAAEA,EAAE,QAAQ2E,EAAE,MAAMI,EAAE,aAAa,EAAE/E,EAAE,cAAc,GAAG,QAAQ4E,EAAE9B,EAAE8B,EAAE,EAAE,EAAEA,EAAE,CAAC,MAAMG,EAAE,aAAaH,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAE,GAAG9B,GAAG,KAAK,MAAM,IAAI+iD,GAAG,4CAA4C,EAAE,CAAC,GAAGljD,IAAI,QAAQ,MAAM,IAAIkjD,GAAG,wCAAwC,EAAEljD,GAAGikB,EAAE,QAAQtf,CAAC,EAAE,IAAIzC,EAAEkrC,GAAGzoC,CAAC,EAAEC,EAAEwyD,GAAG,EAAEz5D,CAAC,EAAE,QAAQyE,EAAE,EAAEA,EAAEwC,EAAE,OAAO,EAAExC,EAAE,CAAC,IAAIyC,EAAE,CAAC,EAAE,GAAG,MAAM1C,EAAE,aAAaC,EAAEyC,CAAC,EAAE+rB,EAAE,IAAI,CAAC,IAAIvuB,EAAEuC,EAAExC,GAAG,GAAGE,EAAEsC,EAAExC,GAAG,GAAGG,EAAEukD,GAAG5kD,EAAEG,EAAEC,EAAED,CAAC,EAAEwC,EAAE,MAAMzC,EAAEyC,EAAE,KAAKvC,EAAED,EAAE,IAAIG,EAAE20D,GAAG75D,EAAEiF,CAAC,EAAEE,EAAE,EAAED,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEhF,EAAE,OAAO,EAAEgF,EAAE,CAAC,IAAI2C,EAAE3H,EAAEgF,GAAGqC,EAAEtC,EAAEC,GAAGmC,EAAEQ,GAAGN,EAAE+rB,GAAG/rB,CAAC,CAAC,CAAC,GAAG3C,IAAIwC,EAAE,OAAO,GAAGtD,EAAE,CAAC,IAAIoB,EAAEtF,EAAE,SAASkC,EAAEC,EAAE5B,CAAC,EAAE,QAAQ0H,EAAE,EAAEA,EAAE3H,EAAE,OAAO,EAAE2H,EAAE,CAAC,IAAIN,EAAErH,EAAE2H,GAAGC,EAAE5C,EAAE2C,GAAGyrB,GAAGxrB,CAAC,EAAErD,EAAE,OAAO8C,GAAGO,CAAC,CAAC,CAAC,CAAC,EAAE,MAAMnD,EAAE,WAAWC,EAAEyC,CAAC,EAAEstD,GAAGttD,CAAC,EAAEzH,EAAE,cAAc,KAAK,CAAC8E,EAAE,QAAQ,CAAC,CAAC,GAAG,MAAMC,EAAE,WAAWH,EAAEC,CAAC,EAAE7E,EAAE,cAAc,KAAK,CAAC,OAAO,MAAM+E,EAAE,WAAW,EAAE,MAAM/E,EAAE,QAAQ,SAAS,EAAEA,EAAE,OAAO,CAAC,eAAek6D,GAAGl6D,EAAE,EAAEE,EAAEI,EAAE,CAAC,EAAE,CAAC,GAAGN,EAAE,WAAW,MAAM,IAAI,MAAM,8DAA8D,EAAEA,EAAE,WAAW,GAAG,IAAIO,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAEC,EAAEC,EAAE,GAAG,CAAC,IAAIC,EAAEzC,EAAE,WAAW,KAAK,GAAGA,EAAE,UAAUu5D,GAAG92D,CAAC,EAAE,IAAIC,EAAE,GAAGkB,EAAE,MAAMlE,EAAE,oBAAoB,EAAEE,EAAEI,EAAE,aAAaA,EAAE,YAAY0C,EAAED,CAAC,EAAExC,EAAE2D,EAAE,GAAG,EAAEA,EAAE,GAAGpB,EAAEoB,EAAE,GAAG,IAAI,EAAE,GAAGqD,EAAE,GAAGjH,EAAE,gBAAgB,MAAMA,EAAE,eAAe,OAAO,EAAE,CAAC,GAAG,EAAE,GAAGA,EAAE,eAAe,SAAS,EAAE4B,EAAE5B,EAAE,eAAe,GAAG6B,EAAE7B,EAAE,eAAe,OAAQ,OAAMA,EAAE,eAAe,SAAS,EAAE,IAAIwlD,GAAG,+DAA+D,EAAE,IAAID,EAAE,0GAA0GvlD,EAAE,4BAA4B,EAAE,IAAImH,EAAE,GAAGxC,EAAE,MAAMjF,EAAE,oBAAoBkC,EAAEC,EAAE,KAAK,KAAKsF,EAAE1E,CAAC,EAAEH,EAAEqC,EAAE,GAAGpC,EAAEoC,EAAE,GAAGsC,EAAE3E,EAAE,OAAOC,CAAC,CAAC,SAASvC,EAAE,iBAAiB,MAAMA,EAAE,gBAAgB,GAAGA,EAAE,gBAAgB,EAAE,CAAC,EAAE,GAAG,IAAImH,EAAE,KAAK,MAAMlH,EAAE,GAAG,MAAM,IAAI,EAAED,EAAE,gBAAgB,EAAE2E,EAAE1E,EAAE,GAAG,MAAM,GAAGqC,EAAEk3D,GAAGv5D,EAAEkH,EAAExC,CAAC,EAAE,EAAE1E,EAAEA,EAAEu5D,GAAGv5D,EAAE,EAAEkH,CAAC,EAAE5E,EAAEi3D,GAAG,EAAEryD,EAAExC,CAAC,EAAEhD,EAAE,EAAE,EAAE63D,GAAG,EAAE,EAAEryD,CAAC,EAAEF,EAAE3E,EAAE,OAAOC,CAAC,CAAC,MAAMvC,EAAE,iBAAiB,OAAO,EAAE,IAAI,IAAIyE,EAAExE,EAAE,OAAO,CAAC,EAAE,OAAOuC,CAAC,EAAE9C,EAAE,iCAAiC,EAAE,IAAI2E,EAAE3E,EAAE,kBAAkB,EAAE4E,EAAE5E,EAAE,uBAAuB,EAAE6E,EAAEC,EAAE,GAAG9E,EAAE,iBAAiB,EAAE6E,EAAE7E,EAAE,aAAa8E,EAAEF,EAAE,MAAM,EAAE,OAAOA,EAAE,IAAI6C,GAAG,OAAOA,CAAC,CAAC,IAAI5C,EAAE,KAAK0C,EAAE,CAAC,EAAEzC,EAAEF,EAAE,MAAM,GAAG,IAAI4C,EAAE+tD,GAAGj1D,EAAE,UAAUA,EAAE,UAAU,EAAE,OAAO,MAAM25D,GAAGj6D,EAAE2E,EAAEI,EAAEH,EAAE7B,EAAEzC,EAAE,OAAOA,EAAE,QAAQkH,EAAE3C,EAAE0C,EAAEjH,EAAE,QAAQwE,EAAExE,EAAE,aAAa,KAAK,IAAI,CAAC,QAAC,CAAQN,EAAE,WAAW,GAAGm6D,GAAG55D,EAAE,CAAC,EAAE45D,GAAG,EAAEj6D,CAAC,EAAEi6D,GAAG,EAAE,CAAC,EAAEA,GAAGl4D,EAAE/B,CAAC,EAAEi6D,GAAGv3D,EAAEV,CAAC,EAAEi4D,GAAGt3D,EAAEV,CAAC,EAAEW,GAAG,MAAM2wB,GAAG3wB,CAAC,CAAC,CAAC,CAAC,SAASs3D,GAAGp6D,EAAE,CAAC,IAAI,EAAE,CAAC,EAAEA,aAAa4pB,KAAK5pB,EAAE,CAACA,CAAC,GAAG,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAEE,GAAG,GAAGI,EAAE,OAAO,EAAE,EAAE,KAAK+oD,GAAG/oD,EAAE,CAAC,CAAC,MAAM,CAAC,GAAGA,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,uEAAuE,EAAE,EAAE,KAAKA,CAAC,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,SAAS65D,GAAGn6D,EAAE,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,IAAIE,EAAE,CAAC,EAAE,GAAG,aAAa0pB,GAAG1pB,EAAE,KAAK,EAAE,EAAE,UAAU,MAAM,QAAQ,CAAC,EAAE,EAAE,QAAQK,GAAGL,EAAE,KAAKK,EAAE,EAAE,CAAC,UAAU,GAAG,KAAK,QAAQA,KAAK,EAAE,CAAC,IAAI,EAAE,EAAEA,GAAGL,EAAE,KAAK,EAAE,EAAE,CAAC,CAAC,IAAII,EAAE,CAAC,EAAE,GAAGN,aAAa4pB,GAAG1pB,EAAE,QAAQF,EAAE,EAAE,IAAI,IAAIM,EAAE,KAAKN,CAAC,UAAU,MAAM,QAAQA,CAAC,EAAEA,EAAE,QAAQO,GAAG,CAACL,EAAE,QAAQK,EAAE,EAAE,IAAI,IAAID,EAAE,KAAKC,CAAC,CAAC,CAAC,UAAUP,GAAG,KAAK,QAAQO,KAAKP,EAAE,CAAC,IAAI,EAAEA,EAAEO,GAAGL,EAAE,QAAQ,EAAE,EAAE,IAAI,IAAII,EAAE,KAAK,CAAC,CAAC,CAACA,EAAE,QAAQC,GAAG,CAACA,EAAE,YAAYA,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,SAAS85D,GAAGr6D,EAAE,CAAC,OAAOA,aAAa4pB,EAAE,CAAC,SAAS0wC,GAAGt6D,EAAE,CAAC,OAAO,MAAM,QAAQA,CAAC,CAAC,CAAC,SAASu6D,GAAGv6D,EAAE,CAAC,MAAM,CAACq6D,GAAGr6D,CAAC,GAAG,CAACs6D,GAAGt6D,CAAC,CAAC,CAAC,SAASw6D,GAAGx6D,EAAE,EAAEE,EAAEI,EAAE,GAAGC,EAAE,GAAG,CAAC,GAAG,GAAG,MAAM,EAAE,SAAS,EAAE,CAAC,GAAGP,GAAG,KAAK,CAAC,IAAI,EAAE,GAAG,GAAGs6D,GAAGt6D,CAAC,GAAGA,EAAE,OAAO,EAAE,EAAE,WAAWu6D,GAAGv6D,CAAC,GAAG,QAAQiC,KAAKjC,EAAE,GAAGA,EAAE,eAAeiC,CAAC,EAAE,CAAC,EAAE,GAAG,KAAK,OAAO,EAAE,GAAG,GAAG,EAAE,MAAM,IAAI4jD,EAAE,6BAA6BtlD,+BAA+BP,GAAG,CAAC,CAAC,MAAM,CAAC,CAAC,CAAC,GAAGA,GAAG,KAAK,OAAO,EAAE,IAAI,GAAG,IAAI,EAAE,IAAI,EAAE,GAAGu6D,GAAGv6D,CAAC,EAAE,CAACA,EAAEA,EAAE,EAAE,CAAC,EAAE,QAAQ,KAAK,EAAE,CAAC,GAAGA,EAAE,IAAI,KAAK,MAAM,IAAI6lD,EAAE,yBAAyB,kCAAkC,GAAG,EAAE,EAAE,KAAK7lD,EAAE,EAAE,CAAC,CAAC,SAASs6D,GAAGt6D,CAAC,EAAE,CAAC,GAAGA,EAAEA,EAAEA,EAAE,SAAS,EAAE,OAAO,MAAM,IAAI6lD,EAAE,6BAA6BtlD,kHAAkH,EAAE,sEAAsEP,GAAG,EAAE,EAAEA,CAAC,KAAK,CAAC,GAAGA,EAAEA,EAAE,EAAE,OAAO,EAAE,MAAM,IAAI6lD,EAAE,aAAatlD,aAAa,EAAE,4EAA4EP,EAAE,OAAO,EAAE,EAAE,CAACA,CAAC,CAAC,CAAC,GAAG,EAAEo6D,GAAG,CAAC,EAAEl6D,GAAG,KAAK,QAAQ,EAAE,EAAE,EAAE,EAAE,OAAO,EAAE,EAAE,CAAC,GAAGA,EAAE,IAAI,KAAK,SAAS,IAAI+B,EAAE,EAAE,GAAG,GAAGA,EAAE,MAAM,SAAS/B,EAAE,GAAG,OAAO,MAAM,IAAI2lD,EAAE,uBAAuBtlD,eAAe,EAAE,cAAcL,EAAE,GAAG,iDAAiD+B,EAAE,OAAO,EAAE,QAAQC,EAAE,EAAEA,EAAEhC,EAAE,GAAG,OAAO,EAAEgC,EAAE,CAAC,GAAGA,IAAI,GAAG,CAAC5B,EAAE,SAAS,IAAI6B,EAAEF,EAAE,MAAMC,GAAGU,EAAE1C,EAAE,GAAGgC,GAAG,GAAGU,GAAG,MAAMA,GAAG,GAAGT,IAAIS,EAAE,MAAM,IAAIijD,EAAE,GAAGtlD,gEAAgEL,EAAE,GAAG,MAAM,EAAEA,EAAE,GAAG,MAAM,4BAA4BA,EAAE,GAAG,MAAM,EAAEA,EAAE,GAAG,MAAM,eAAeK,4BAA4B0B,EAAE,MAAM,iCAAiCA,EAAE,MAAM,MAAM,EAAEA,EAAE,MAAM,MAAM,qBAAqBA,EAAE,SAAS,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,SAASw4D,GAAGz6D,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEwmD,GAAG9mD,EAAE,IAAI,GAAG,EAAE,MAAM,EAAE,CAAC,EAAEM,EAAE,KAAK,EAAE,IAAIC,EAAEumD,GAAG,EAAE,IAAI,GAAG,EAAE,MAAM,EAAE,CAAC,EAAE,GAAGvmD,EAAE,KAAK,EAAED,EAAE,OAAO,EAAE,MAAM,IAAIulD,EAAE,mFAAmF,KAAK,UAAU7lD,EAAE,IAAI,GAAG,EAAE,KAAK,CAAC,GAAG,EAAE,GAAGO,EAAE,OAAO,EAAE,MAAM,IAAIslD,EAAE,oFAAoF,KAAK,UAAU,EAAE,IAAI,GAAG,EAAE,KAAK,CAAC,GAAG,EAAE,GAAGvlD,EAAE,OAAO,GAAGC,EAAE,OAAO,GAAG,CAACsmB,EAAE,YAAYvmB,EAAEC,CAAC,EAAE,MAAM,IAAIslD,EAAE,iFAAiFvlD,EAAE,0BAA0BC,EAAE,sBAAsB,CAAC,CAAC,SAASm6D,GAAG16D,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,CAACs1D,GAAGW,GAAGH,EAAE,EAAE,QAAQ71D,EAAE,EAAEA,EAAEP,EAAE,OAAO,EAAEO,EAAE,CAAC,IAAI,EAAEP,EAAEO,GAAG,EAAE,EAAEA,GAAG0B,EAAE/B,EAAEK,GAAG,GAAG,GAAG,KAAK,CAAC,GAAG,IAAI61D,IAAI,EAAE,MAAM,EAAE,MAAM,OAAO,KAAK,EAAE,MAAM,IAAIvQ,EAAE,2CAA2C,EAAE,+JAA+J,EAAE,GAAGvlD,EAAE,QAAQ,CAAC,IAAI,GAAG,CAAC,IAAI4B,EAAE,EAAE,MAAM,MAAM,CAAC,EAAEC,EAAEF,EAAE,MAAM,CAAC,EAAE,QAAQW,EAAE,EAAEA,EAAEV,EAAE,OAAO,EAAEU,EAAE,CAAC,IAAIC,EAAEX,EAAEU,GAAGE,EAAEX,EAAES,GAAG,GAAGE,GAAG,MAAMD,IAAIC,EAAE,MAAM,IAAI+iD,EAAE,8BAA8B,EAAE,2CAA2C5jD,2FAA2F,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS04D,GAAG36D,EAAE,EAAEE,EAAEI,EAAE,GAAGC,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,MAAM,QAAQP,CAAC,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,MAAM,IAAI6lD,EAAE,6BAA6BtlD,sHAAsH,EAAE,qCAAqCP,EAAE,oBAAoB,EAAE,EAAEA,CAAC,KAAK,CAAC,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI6lD,EAAE,qBAAqB,EAAE,UAAUtlD,oEAAoE,KAAK,UAAUP,EAAE,KAAK,IAAI,EAAE,EAAE,CAACA,CAAC,CAAC,CAAC,GAAGE,GAAG,KAAK,QAAQ,EAAE,EAAE,EAAE,EAAE,OAAO,EAAE,EAAE,CAAC,GAAGA,EAAE,IAAI,KAAK,SAAS,IAAI+B,EAAE,EAAE,GAAG,GAAGA,EAAE,MAAM,SAAS/B,EAAE,GAAG,OAAO,MAAM,IAAI2lD,EAAE,uBAAuBtlD,eAAe,EAAE,cAAcL,EAAE,GAAG,iDAAiD,KAAK,UAAU+B,EAAE,KAAK,GAAG,EAAE,QAAQC,EAAE,EAAEA,EAAEhC,EAAE,GAAG,OAAO,EAAEgC,EAAE,CAAC,GAAGA,IAAI,GAAG,CAAC5B,EAAE,SAAS,IAAI6B,EAAEF,EAAE,MAAMC,GAAGU,EAAE1C,EAAE,GAAGgC,GAAG,GAAGU,GAAG,MAAMA,IAAIT,EAAE,MAAM,IAAI0jD,EAAE,uBAAuBtlD,eAAe,EAAE,oBAAoB,KAAK,UAAUL,EAAE,EAAE,8BAA8B,KAAK,UAAU+B,EAAE,KAAK,IAAI,CAAC,CAAC,CAAC,CAAC,SAAS24D,GAAG56D,EAAE,EAAE,CAAC,GAAGA,GAAG,MAAM,MAAM,QAAQA,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,EAAE,IAAIM,GAAG,CAAC,CAAC,EAAE,IAAIJ,EAAE,GAAG,OAAOF,GAAG,UAAU,OAAOA,GAAG,WAAWE,EAAE,CAACF,CAAC,UAAU,MAAM,QAAQA,CAAC,GAAG,OAAOA,GAAG,SAASE,EAAEF,MAAO,OAAM,IAAI,UAAU,kGAAkGA,GAAG,EAAE,GAAG,MAAM,QAAQE,CAAC,EAAE,OAAO,EAAE,IAAII,GAAGJ,CAAC,EAAE,CAAC,IAAII,EAAE,CAAC,EAAE,QAAQC,KAAK,EAAE,CAAC,IAAI,EAAEL,EAAE,eAAeK,CAAC,EAAEL,EAAEK,GAAG,CAAC,EAAE,MAAM,QAAQ,CAAC,IAAI,EAAE,CAAC,CAAC,GAAGD,EAAE,KAAK,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,CAAC,IAAIu6D,GAAG,eAAeC,GAAG,cAAc/B,EAAE,CAAC,YAAYj4D,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,WAAW,EAAE,CAAC,QAAQA,EAAEZ,EAAE,EAAE,QAAQ,IAAI,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,IAAI2lD,EAAE,8KAA8K,EAAEwS,GAAG,KAAKv3D,EAAEZ,EAAE,CAAC,CAAC,CAAC,QAAQY,EAAE,CAAC,GAAGA,EAAE,MAAM,OAAOA,EAAE,KAAK,CAAC,GAAG,KAAK,KAAKA,EAAE,KAAK,OAAOA,EAAE,WAAW,SAAS,KAAK,WAAWo3D,GAAGp3D,EAAE,SAAS,EAAE,KAAK,iBAAiB,OAAO,CAAC,GAAG,EAAEA,EAAE,qBAAqB24C,IAAI,MAAM,IAAIoM,EAAE,6DAA6D,EAAE,KAAK,WAAW/kD,EAAE,UAAU,KAAK,iBAAiB,EAAE,CAAC,IAAIZ,EAAE,CAAC,EAAE,GAAG,CAAC,MAAM,QAAQY,EAAE,IAAI,GAAG,OAAOA,EAAE,MAAM,UAAU,OAAOA,EAAE,MAAM,WAAW,CAACA,EAAE,KAAKA,EAAE,KAAK,QAAQkB,KAAKlB,EAAE,KAAK,GAAG,KAAK,YAAY,QAAQkB,CAAC,IAAI,GAAG,MAAM,IAAI6jD,EAAE,sCAAsC7jD,yCAAyC,KAAK,aAAa,EAAE,QAAQA,KAAK,KAAK,YAAYlB,EAAE,KAAKkB,IAAI,MAAM,QAAQ,KAAK,WAAWA,6HAA6HA,mBAAmB,EAAE9B,EAAE,KAAK02D,GAAG91D,EAAE,KAAKkB,EAAE,CAAC,CAAC,SAAS,MAAM,QAAQlB,EAAE,IAAI,EAAE,CAAC,GAAGA,EAAE,KAAK,SAAS,KAAK,QAAQ,OAAO,MAAM,IAAI+kD,EAAE,2FAA2F,KAAK,QAAQ,yCAAyC/kD,EAAE,OAAO,EAAEZ,EAAEY,EAAE,KAAK,IAAImB,GAAG20D,GAAG30D,CAAC,CAAC,CAAC,KAAK,CAAC,IAAID,EAAE40D,GAAG91D,EAAE,IAAI,EAAE,KAAK,QAAQ,QAAQmB,GAAG,CAAC/B,EAAE,KAAK8B,CAAC,CAAC,CAAC,CAAC,CAAC,KAAK,cAAc9B,EAAE,KAAK,gBAAgB,CAAC,EAAE,KAAK,iBAAiB,CAAC,EAAE,KAAK,YAAY,CAAC,EAAE,QAAQ8B,EAAE,EAAEA,EAAE,KAAK,QAAQ,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAE,KAAK,qBAAqBD,GAAGE,EAAE,KAAK,YAAYF,GAAG,KAAK,gBAAgB,KAAKE,CAAC,EAAE,KAAK,iBAAiB,KAAKD,CAAC,EAAE,KAAK,YAAY,KAAK,KAAK,cAAcD,EAAE,CAAC,CAAC,IAAI,EAAE,CAAC,EAAE,KAAK,QAAQlB,EAAE,QAAQ,KAAK,aAAa,CAAC,MAAM,EAAE,KAAK,eAAe,CAAC,EAAEwnD,GAAG,OAAO,IAAI,CAAC,QAAQtmD,EAAE,EAAEA,EAAE,KAAK,QAAQ,OAAO,EAAEA,EAAE,CAAC,GAAG,EAAE,QAAQA,CAAC,IAAI,GAAG,SAAS,IAAIC,EAAE,KAAK,cAAcD,GAAG,KAAK,QAAQ,OAAO,IAAI,KAAK,eAAe,KAAK,CAACC,EAAED,CAAC,CAAC,EAAE,KAAK,aAAa,KAAK,KAAK,YAAYA,GAAG,OAAO,EAAE,CAAC,CAAC,EAAE,IAAIzB,EAAEq6D,GAAG95D,EAAE,QAAQ,KAAK,WAAW,EAAEiB,EAAE,CAACC,EAAEC,EAAEC,IAAI,CAAC,KAAK,YAAY,OAAO,IAAID,EAAE,KAAK,YAAYD,GAAG,IAAIC,GAAG,KAAK,aAAa,KAAKA,CAAC,EAAE,KAAK,eAAe,KAAK,CAACC,EAAEF,CAAC,CAAC,CAAC,EAAEsmD,GAAG,SAAS,IAAI,CAAC,QAAQtmD,EAAE,EAAEA,EAAE,KAAK,QAAQ,OAAO,EAAEA,EAAE,CAAC,GAAG,EAAE,QAAQA,CAAC,IAAI,GAAG,SAAS,IAAIC,EAAE1B,EAAEyB,IAAIG,GAAG,CAAC,IAAIS,EAAE,GAAGC,EAAEC,EAAEC,EAAE,QAAQC,KAAKb,EAAE,CAAC,GAAG,OAAOa,GAAG,UAAU,CAAC,WAAW,MAAM,eAAe,IAAI,EAAE,QAAQA,CAAC,IAAI,GAAG,CAAC,IAAImB,EAAE,KAAK,qBAAqBnC,GAAGmC,EAAEA,EAAE,OAAO,KAAK,GAAG,KAAK,cAAcnC,KAAKu0D,GAAG,CAAC,WAAW,KAAK,EAAE,QAAQvzD,CAAC,IAAI,GAAGF,EAAE+zD,GAAG,CAAC,eAAe,IAAI,EAAE,QAAQ7zD,CAAC,IAAI,KAAKF,EAAEs0D,IAAI,KAAK,cAAcp1D,KAAKq0D,GAAG,CAAC,WAAW,KAAK,EAAE,QAAQrzD,CAAC,IAAI,GAAGF,EAAEu0D,GAAG,CAAC,eAAe,IAAI,EAAE,QAAQr0D,CAAC,IAAI,KAAKF,EAAEg1D,IAAI,CAAC,WAAW,KAAK,EAAE,QAAQ90D,CAAC,IAAI,GAAGF,EAAEg0D,GAAG,CAAC,eAAe,IAAI,EAAE,QAAQ9zD,CAAC,IAAI,KAAKF,EAAE80D,IAAI,IAAIrwD,EAAE,CAAC,WAAW,KAAK,EAAE,QAAQvE,CAAC,IAAI,GAAGuE,EAAE,MAAM,CAAC,eAAe,IAAI,EAAE,QAAQvE,CAAC,IAAI,KAAKuE,EAAE,MAAMxE,EAAED,EAAED,EAAED,EAAE2E,CAAC,MAAMxE,EAAEi1D,GAAGh1D,CAAC,EAAEH,EAAED,EAAEq1D,GAAGj1D,CAAC,EAAE,IAAI,EAAEslD,GAAGzlD,EAAE,IAAI,CAAC,EAAEE,CAAC,CAAC,EAAEhB,EAAEC,EAAEa,EAAE,CAAC,CAAC,CAAC,GAAGZ,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,0BAA0B,KAAK,gBAAgB,CAAC,kCAAkC,CAAC,KAAK,2BAA2B,MAAM,KAAK,iBAAiB,SAAS,KAAK,0BAA0B,QAAQ,QAAQ,KAAK,mJAAmJ,CAAC,CAAC,SAASnB,EAAEZ,EAAE,EAAE,CAAC,EAAE,CAAC,IAAIK,EAAE,EAAE,WAAW,KAAK,GAAG,EAAE,UAAUs5D,GAAGt5D,CAAC,EAAE,IAAIwB,EAAE,GAAGC,EAAE,KAAK,sBAAsBlB,EAAEZ,EAAE6B,EAAExB,CAAC,EAAE,GAAG,CAAC,IAAI0B,EAAED,EAAE,GAAG,OAAOA,EAAE,EAAE,EAAE,KAAK,iBAAiB,EAAE,IAAIE,EAAE,KAAK,aAAa,EAAE,KAAK,SAASA,EAAED,EAAE1B,EAAE,EAAE,QAAQ,EAAE,KAAK,EAAE,OAAO6lD,GAAG,CAAC,CAAC,QAAC,CAAQ+T,GAAGn4D,EAAE,GAAGlB,CAAC,EAAEq5D,GAAGn4D,EAAE,GAAG9B,CAAC,CAAC,CAAC,CAAC,MAAM,gBAAgBY,EAAEZ,EAAE,CAAC,OAAO,KAAK,iBAAiB,EAAE05D,GAAG,KAAK94D,EAAEZ,CAAC,CAAC,CAAC,gBAAgBY,EAAEZ,EAAE,EAAEK,EAAE,QAAQ,CAAC,IAAIwB,EAAE,GAAG,GAAG,MAAM,GAAGA,EAAE,KAAK7B,GAAG,KAAK,MAAM,IAAI2lD,EAAE,MAAMtlD,iEAAiEL,GAAG,UAAUY,GAAG,KAAK,MAAM,QAAQA,CAAC,EAAEiB,EAAEjB,EAAE,GAAG,MAAM,GAAGiB,EAAEjB,EAAE,MAAM,OAAQ,OAAM,IAAI+kD,EAAE,yDAAyDtlD,uBAAuB,EAAE,OAAOwB,CAAC,CAAC,QAAQjB,EAAEZ,EAAE,CAAC,GAAG,MAAM,QAAQA,CAAC,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI2lD,EAAE,oDAAoD,EAAE,IAAI,EAAE,MAAM,QAAQ3lD,CAAC,EAAEK,EAAE,EAAEL,EAAE,CAACA,CAAC,EAAE6B,EAAE,KAAK,wBAAwBxB,CAAC,EAAEyB,EAAE,IAAIyrD,GAAG,GAAG3sD,aAAa8oB,KAAK9oB,EAAE,CAACA,CAAC,GAAG,MAAM,QAAQA,CAAC,EAAE,CAAC,GAAGA,EAAE,SAAS,KAAK,OAAO,OAAO,MAAM,IAAI+kD,EAAE,kCAAkC/kD,EAAE,8DAA8D,KAAK,OAAO,UAAU,EAAE,QAAQoB,EAAE,EAAEA,EAAE,KAAK,OAAO,OAAO,EAAEA,EAAEF,EAAE,IAAI,KAAK,OAAOE,GAAGpB,EAAEoB,EAAE,CAAC,KAAM,SAAQA,KAAK,KAAK,OAAO,CAAC,IAAI,EAAEpB,EAAEoB,EAAE,MAAM,GAAG,GAAG,KAAK,MAAM,IAAI2jD,EAAE,8CAA8C3jD,EAAE,MAAM,EAAEF,EAAE,IAAIE,EAAE,CAAC,CAAC,CAAC,IAAID,EAAE4rD,GAAG9rD,EAAEC,CAAC,EAAE,OAAO,EAAEC,EAAEA,EAAE,EAAE,CAAC,wBAAwBnB,EAAE,CAAC,IAAIZ,EAAE+lD,GAAG,KAAKnlD,EAAE,MAAM,EAAE,EAAEA,EAAE,OAAO,QAAQP,KAAK,KAAK,OAAO,CAAC,IAAIwB,EAAE,MAAM,QAAQxB,EAAE,MAAM,EAAEA,EAAE,OAAO,CAACA,EAAE,MAAM,EAAEyB,EAAED,EAAE,IAAIE,GAAGA,EAAE,IAAI,EAAE,QAAQA,EAAE,EAAEA,EAAEnB,EAAE,OAAO,EAAEmB,EAAE,CAAC,IAAIC,EAAEF,EAAE,QAAQlB,EAAEmB,EAAE,EAAE,GAAGC,IAAI,KAAKhC,EAAE+B,GAAGF,EAAEG,GAAG,KAAK,IAAI,EAAE,KAAK,CAAC,GAAG,IAAI,EAAE,KAAK,CAAC,GAAG,EAAE,EAAE,CAAC,IAAI3B,EAAE,CAAC,EAAE,MAAML,EAAE,QAAQ,CAAC6B,EAAEC,IAAI,CAACD,GAAG,MAAMxB,EAAE,KAAKO,EAAEkB,EAAE,CAAC,CAAC,EAAE,IAAI6jD,EAAE,mDAAmD,KAAK,UAAUtlD,CAAC,GAAG,CAAC,CAAC,OAAOL,CAAC,CAAC,YAAYY,EAAEZ,EAAE,GAAG,EAAE,GAAG,CAAC,OAAOszB,EAAE,IAAI,CAAC,IAAIjzB,EAAE,KAAK,gBAAgBO,CAAC,EAAE,GAAG,EAAE,MAAM,IAAIglD,GAAG,+CAA+C,EAAE,IAAI/jD,EAAEi4D,GAAGz5D,EAAEL,CAAC,EAAE8B,EAAE,KAAK,QAAQ,IAAIC,GAAG,CAAC,CAAC,EAAE,QAAQA,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAEuxB,EAAE,IAAI,CAAC,IAAIrxB,EAAEJ,EAAEE,GAAG,GAAGW,EAAEb,EAAEE,GAAG,GAAGY,EAAEi3D,GAAGh5D,EAAEqB,EAAES,CAAC,EAAEE,EAAE,CAAC,EAAE,GAAG,MAAM,QAAQD,CAAC,EAAE,QAAQG,EAAE,EAAEA,EAAEH,EAAE,OAAO,EAAEG,EAAEF,EAAE,KAAK,CAAC,IAAI,KAAK,OAAOE,GAAG,MAAMH,EAAEG,EAAE,CAAC,OAAOF,EAAE,KAAK,CAAC,IAAI,KAAK,OAAO,GAAG,MAAMD,CAAC,CAAC,EAAE,IAAIE,EAAE,IAAI0qD,GAAG3qD,CAAC,EAAE,OAAO+qD,GAAG,KAAK,QAAQ9qD,CAAC,CAAC,CAAC,EAAE,QAAQ,CAACZ,EAAES,IAAIZ,EAAEY,GAAG,KAAKT,CAAC,CAAC,EAAE,OAAOikD,GAAGpkD,EAAE,IAAIC,GAAGs6B,GAAGt6B,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,QAAQnB,EAAEZ,EAAE,CAAC,EAAE,CAAC,IAAI,EAAEk6D,GAAGt5D,CAAC,EAAE65D,GAAG,EAAE,KAAK,WAAW,KAAK,gBAAgB,EAAE,EAAE,GAAG,CAAC,IAAIp6D,EAAEL,EAAE,WAAW,KAAK,GAAGA,EAAE,UAAU,OAAO25D,GAAGt5D,CAAC,EAAE,KAAK,YAAY,EAAEA,CAAC,CAAC,QAAC,CAAQ45D,GAAG,EAAEr5D,CAAC,CAAC,CAAC,CAAC,eAAeA,EAAE,CAAC65D,GAAG75D,EAAE,KAAK,WAAW,KAAK,gBAAgB,EAAE,EAAE,IAAIZ,GAAG,MAAM,QAAQY,CAAC,EAAEA,EAAE,GAAGA,GAAG,MAAM,GAAG,OAAO,KAAK,YAAYA,EAAEZ,CAAC,CAAC,CAAC,sBAAsBY,EAAEZ,EAAE,EAAE,GAAGK,EAAE,CAAC,GAAG,KAAK,YAAY,KAAK,MAAM,IAAIqlD,GAAG,8FAA8F,EAAE,IAAI7jD,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,KAAK,iBAAiB,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAE,KAAK,iBAAiBD,GAAG,KAAK,YAAYA,KAAKq0D,GAAGt0D,EAAE,KAAKE,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,EAAEF,EAAE,KAAKE,CAAC,CAAC,CAAC,GAAGnB,EAAE05D,GAAG15D,EAAE,KAAK,eAAe,KAAK,gBAAgB,GAAG,OAAO,EAAEZ,EAAEs6D,GAAGt6D,EAAE,KAAK,gBAAgB6B,EAAE,GAAG,QAAQ,EAAE04D,GAAG35D,EAAEZ,EAAE,IAAI,EAAEw6D,GAAGx6D,EAAE,KAAK,YAAY,KAAK,gBAAgB,EAAE,KAAK,UAAUK,GAAG,MAAMA,EAAE,GAAGO,EAAE,GAAG,MAAM,GAAGP,IAAI,EAAE,MAAM,IAAIslD,EAAE,mHAAmHtlD,aAAaO,EAAE,GAAG,MAAM,eAAe,EAAE,MAAM,CAACA,EAAEZ,CAAC,CAAC,CAAC,MAAM,oBAAoBY,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,GAAGC,EAAE,CAAC,GAAG,CAACC,EAAEC,CAAC,EAAE,KAAK,sBAAsBpB,EAAEZ,EAAE6B,EAAEC,CAAC,EAAE,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,qCAAqC,EAAE,IAAI,EAAE,KAAK,GAAGzB,GAAG,KAAK,CAAC,IAAIqC,EAAEq2D,GAAG14D,EAAE,KAAK,WAAW,EAAE,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEqC,EAAE,OAAO,EAAE,EAAE,EAAE,KAAK,MAAMs2D,GAAGh3D,EAAE,GAAG,KAAKU,EAAE,EAAE,CAAC,CAAC,CAAC,MAAM,CAACX,EAAEC,EAAE,CAAC,CAAC,CAAC,SAASpB,EAAEZ,EAAE,EAAEK,EAAE,EAAEwB,EAAE,CAAC,OAAOyxB,EAAE,IAAI,CAAC,IAAIxxB,EAAE,KAAK,gBAAgB9B,EAAE,EAAE6B,EAAE,OAAO,EAAEE,EAAE,CAAC,EAAE,GAAG1B,EAAE,EAAE,MAAM,IAAIulD,GAAG,sCAAsC,EAAE,GAAG/jD,GAAG,KAAK,MAAM,IAAI+jD,GAAG,iDAAiD,EAAE,CAAC,IAAI5jD,EAAE83D,GAAGh4D,EAAE,CAAC,EAAE,EAAEguC,GAAGgZ,GAAG,EAAEhnD,CAAC,CAAC,EAAE,QAAQY,EAAE,EAAEA,EAAEV,EAAE,OAAO,EAAEU,EAAE,CAAC,IAAI,EAAEV,EAAEU,GAAG,GAAGE,EAAEZ,EAAEU,GAAG,GAAGG,EAAE2mD,GAAG,EAAE,EAAE5mD,EAAE,CAAC,EAAEE,EAAE+2D,GAAG75D,EAAE6C,CAAC,EAAEmB,EAAEpD,EAAEkC,CAAC,EAAE,GAAGJ,IAAI,EAAE,QAAQuB,EAAE,EAAEA,EAAED,EAAE,OAAO,EAAEC,EAAElC,EAAE,KAAK2gC,GAAG,CAAC,CAAC,EAAE,QAAQz+B,EAAE,EAAEA,EAAED,EAAE,OAAO,EAAEC,EAAE,CAAC,IAAIoD,EAAErD,EAAEC,GAAGlC,EAAEkC,GAAG00B,EAAE52B,EAAEkC,GAAGg1B,EAAEr2B,EAAE,EAAEyE,CAAC,CAAC,CAAC,CAAC,CAAC,QAAQ3E,EAAE,EAAEA,EAAEX,EAAE,OAAO,EAAEW,EAAEX,EAAEW,GAAGq2B,GAAGh3B,EAAEW,GAAGZ,CAAC,CAAC,CAAC,OAAOC,CAAC,CAAC,CAAC,CAAC,wBAAwB,CAAC,IAAInB,EAAE,KAAK,aAAaZ,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEY,EAAE,OAAO,EAAE,EAAE,CAAC,IAAIP,EAAEO,EAAE,GAAGiB,EAAExB,EAAE4lD,GAAGrlD,EAAEP,CAAC,EAAE,IAAIwB,GAAG,IAAIokD,GAAGrlD,EAAE,MAAM,EAAE,CAAC,EAAEP,CAAC,KAAKL,EAAE,KAAK6B,CAAC,CAAC,CAAC,OAAO7B,CAAC,CAAC,mBAAmB,CAAC,OAAOY,GAAG,CAAC,IAAIZ,EAAE,CAAC,EAAE,EAAEY,EAAE,MAAM,EAAE,KAAK,OAAO,MAAM,EAAEP,EAAEO,EAAE,MAAM,KAAK,OAAO,OAAO,KAAK,OAAO,OAAO,KAAK,QAAQ,MAAM,EAAEiB,EAAEjB,EAAE,MAAM,KAAK,OAAO,OAAO,KAAK,QAAQ,OAAO,KAAK,OAAO,OAAO,KAAK,QAAQ,OAAO,CAAC,EAAEkB,EAAE,CAAC,EAAEC,EAAE,IAAI,CAAC,IAAIY,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAE,KAAK,OAAO,OAAO,EAAE,EAAEA,EAAE,KAAK,CAAC,IAAI,KAAK,OAAO,GAAG,MAAM,EAAE,EAAE,CAAC,EAAE,IAAIC,EAAE,IAAI2qD,GAAG5qD,CAAC,EAAEE,EAAE8qD,GAAG,KAAK,QAAQ/qD,EAAE,CAAC,SAAS,EAAE,CAAC,EAAEE,EAAE,QAAQ,EAAE,EAAE,EAAE,KAAK,cAAc,OAAO,EAAE,EAAE,CAAC,IAAImB,EAAE,KAAK,cAAc,GAAGoD,EAAEpD,EAAE5D,EAAE,GAAGwC,EAAE,EAAE,EAAEhB,EAAE,IAAI,OAAOwF,EAAE4xD,GAAG5xD,EAAExF,EAAE,EAAE,GAAG,IAAIgD,EAAEojC,GAAG5gC,CAAC,EAAErH,EAAE,KAAK6E,CAAC,EAAE,IAAI,EAAE/B,EAAEuE,EAAEvE,EAAE61B,EAAE71B,EAAEuE,CAAC,CAAC,CAAC,QAAQ,EAAE,EAAE,EAAE,KAAK,eAAe,OAAO,EAAE,EAAE,CAAC,IAAIpD,EAAE,GAAG,KAAK,QAAQ,OAAO,GAAG,EAAE,KAAK,QAAQ,OAAOA,EAAEjE,EAAE,OAAO,CAAC,IAAIqH,EAAE,KAAK,eAAe,GAAG,GAAGxC,EAAE,KAAK,eAAe,GAAG,GAAGZ,EAAEgkC,GAAG5gC,EAAEhH,EAAEwE,GAAGhC,EAAEgC,EAAE,CAAC,CAAC,CAAC2uB,GAAGvvB,CAAC,EAAEnC,EAAE,KAAKmC,CAAC,CAAC,CAAC,OAAOnB,EAAEmlC,GAAGnlC,CAAC,EAAE,KAAK,gBAAgB,EAAE,QAAQ,GAAG,CAACA,EAAE61B,EAAE71B,EAAE,CAAC,CAAC,CAAC,EAAEA,CAAC,EAAEd,EAAE,KAAK,0BAA0B,IAAIW,GAAGA,EAAE,KAAK,CAAC,EAAE,EAAE,GAAG,MAAM,CAAC,KAAK,WAAW,SAASZ,EAAE,EAAEC,CAAC,CAAC,EAAE,OAAOF,CAAC,CAAC,CAAC,CAAC,kBAAkB,CAAC,KAAK,aAAalB,GAAG0yB,EAAE,IAAI,CAAC,IAAItzB,EAAE,CAAC,EAAE,EAAEK,EAAEO,EAAE,MAAM,EAAE,KAAK,OAAO,MAAM,EAAEiB,EAAEjB,EAAE,MAAM,KAAK,OAAO,OAAO,KAAK,OAAO,OAAO,KAAK,QAAQ,MAAM,EAAEkB,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAE,KAAK,OAAO,OAAO,EAAE,EAAEA,EAAE,KAAK,CAAC,IAAI,KAAK,OAAO,GAAG,MAAMzB,EAAE,EAAE,CAAC,EAAE,IAAI0B,EAAE,IAAIwrD,GAAGzrD,CAAC,EAAEE,EAAE2rD,GAAG,KAAK,QAAQ5rD,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAE,KAAK,cAAc,OAAO,EAAE,EAAE,CAAC,IAAIW,EAAE,KAAK,cAAc,GAAG,EAAEulC,GAAGvlC,EAAEb,EAAE,GAAGG,EAAE,EAAE,CAAC,EAAE,IAAI,EAAE,EAAE,EAAE,EAAE22B,EAAE,EAAE,CAAC,EAAE34B,EAAE,KAAK,CAAC,CAAC,CAAC,QAAQ,EAAE,EAAE,EAAE,KAAK,eAAe,OAAO,EAAE,EAAE,CAAC,IAAI0C,EAAE,KAAK,eAAe,GAAG,GAAG,EAAE,KAAK,eAAe,GAAG,GAAGE,EAAEqlC,GAAGvlC,EAAEb,EAAE,GAAGG,EAAE,EAAE,CAAC,EAAEhC,EAAE,KAAK4C,CAAC,CAAC,CAAC,OAAO5C,CAAC,CAAC,CAAC,CAAC,MAAM,IAAIY,EAAEZ,EAAE,EAAE,CAAC,EAAE,CAAC,OAAOg6D,GAAG,KAAKp5D,EAAEZ,EAAE,CAAC,CAAC,CAAC,MAAM,WAAWY,EAAEZ,EAAE,CAAC,OAAOs5D,GAAG,KAAK14D,EAAEZ,CAAC,CAAC,CAAC,MAAM,aAAaY,EAAEZ,EAAE,CAAC,IAAI,EAAE,MAAM,KAAK,oBAAoBY,EAAEZ,CAAC,EAAEK,EAAE,EAAE,GAAGwB,EAAE,EAAE,GAAGE,EAAE,KAAK,kBAAkB,EAAE1B,EAAE,OAAOwB,CAAC,CAAC,EAAEG,EAAE,CAAC,EAAE,QAAQC,KAAKF,EAAE,CAAC,IAAIW,EAAE,MAAMT,EAAE,KAAK,EAAED,EAAE,KAAKU,EAAE,EAAE,CAAC,CAAC,OAAO6wB,GAAGxxB,CAAC,EAAEk4D,GAAG,EAAE,GAAGr5D,CAAC,EAAEq5D,GAAG,EAAE,GAAGj6D,CAAC,EAAEkmD,GAAGlkD,CAAC,CAAC,CAAC,gBAAgBpB,EAAE,CAAC,IAAIZ,EAAE,CAAC,EAAE,EAAEY,GAAG,MAAMA,EAAE,cAAcP,EAAE,EAAE,KAAK,iBAAiB,KAAK,QAAQwB,EAAE,KAAK,WAAW,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEzB,EAAE,OAAO,EAAEyB,EAAE,GAAG,CAACzB,EAAEyB,GAAG,WAAW9B,EAAE,KAAK,CAAC,KAAKK,EAAEyB,GAAG,aAAa,OAAOD,EAAEC,EAAE,CAAC,EAAE,OAAO9B,CAAC,CAAC,IAAI,aAAaY,EAAE,CAAC,KAAK,cAAcA,CAAC,CAAC,IAAI,cAAc,CAAC,OAAO,KAAK,aAAa,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,UAAU,CAAC,IAAI,UAAUA,EAAE,CAAC,KAAK,aAAaA,IAAI,KAAK,WAAWA,EAAE,KAAK,iBAAiB,GAAG,CAAC,SAAS,CAAC,IAAIA,EAAE,MAAM,QAAQ,EAAE,GAAGA,EAAE,uBAAuB,GAAG,KAAK,WAAW,MAAM,KAAK,iBAAiB,CAAC,IAAIZ,EAAEozB,GAAG,EAAE,WAAW,KAAK,WAAW,QAAQ,EAAExyB,EAAE,sBAAsBZ,EAAEozB,GAAG,EAAE,UAAU,CAAC,OAAOxyB,CAAC,CAAC,oBAAoB,CAAC,IAAIA,EAAE,GAAG,OAAO,KAAK,MAAM,SAASA,EAAEwlD,GAAG,KAAK,IAAI,UAAU,MAAM,QAAQ,KAAK,IAAI,EAAE,CAAC,QAAQpmD,KAAK,KAAK,KAAK,GAAG,OAAOA,GAAG,SAAS,MAAM,IAAI,MAAM,oDAAoD,EAAEY,EAAE,KAAK,KAAK,IAAIZ,GAAGomD,GAAGpmD,CAAC,CAAC,CAAC,KAAK,CAAC,IAAIA,EAAE,OAAO,KAAK,KAAK,IAAI,EAAEY,EAAE,CAAC,EAAE,IAAI,EAAE,KAAK,KAAK,QAAQP,KAAKL,EAAE,GAAG,OAAO,EAAEK,IAAI,SAASO,EAAEP,GAAG+lD,GAAG,EAAE/lD,EAAE,MAAO,OAAM,IAAI,MAAM,oDAAoD,CAAC,CAAC,OAAOO,CAAC,CAAC,sBAAsB,CAAC,GAAG,OAAO,KAAK,SAAS,UAAU,OAAO,KAAK,SAAS,WAAW,MAAM,CAACwlD,GAAG2R,GAAG,KAAK,OAAO,CAAC,CAAC,EAAE,GAAG,MAAM,QAAQ,KAAK,OAAO,EAAE,OAAO,KAAK,QAAQ,IAAIn3D,GAAGwlD,GAAG2R,GAAGn3D,CAAC,CAAC,CAAC,EAAE,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQZ,KAAK,KAAK,QAAQY,EAAEZ,GAAGomD,GAAG2R,GAAG,KAAK,QAAQ/3D,EAAE,CAAC,EAAE,OAAOY,CAAC,CAAC,CAAC,mBAAmB,CAAC,MAAM,CAAC,KAAK,KAAK,mBAAmB,EAAE,QAAQ,KAAK,qBAAqB,EAAE,iBAAiB,CAAC,WAAW,KAAK,UAAU,aAAa,EAAE,OAAO,KAAK,UAAU,UAAU,CAAC,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAAC,GAAGA,EAAE,kBAAkB,KAAK,MAAM,IAAI,MAAM,8CAA8C,EAAE,GAAGA,EAAE,cAAc,KAAK,MAAM,IAAI,MAAM,4CAA4C,EAAE,GAAGA,EAAE,oBAAoB,KAAK,MAAM,IAAI,MAAM,kDAAkD,EAAE,IAAIZ,EAAE04D,GAAG93D,EAAE,gBAAgB,EAAE,EAAE40D,GAAGx1D,CAAC,EAAEK,EAAE,GAAG,OAAOO,EAAE,MAAM,SAASP,EAAEgmD,GAAGzlD,EAAE,IAAI,UAAU,MAAM,QAAQA,EAAE,IAAI,EAAEP,EAAEO,EAAE,KAAK,IAAIkB,GAAGukD,GAAGvkD,CAAC,CAAC,UAAUlB,EAAE,MAAM,KAAK,CAACP,EAAE,CAAC,EAAE,QAAQyB,KAAKlB,EAAE,KAAKP,EAAEyB,GAAGukD,GAAGzlD,EAAE,KAAKkB,EAAE,CAAC,CAAC,IAAID,EAAE,GAAG,MAAM,QAAQjB,EAAE,OAAO,EAAEiB,EAAEjB,EAAE,QAAQ,IAAIkB,GAAGukD,GAAGvkD,CAAC,CAAC,UAAUlB,EAAE,SAAS,KAAK,CAACiB,EAAE,CAAC,EAAE,QAAQC,KAAKlB,EAAE,QAAQiB,EAAEC,GAAGukD,GAAGzlD,EAAE,QAAQkB,EAAE,CAAC,CAAC,KAAK,QAAQ,CAAC,KAAKzB,EAAE,QAAQwB,EAAE,UAAU,CAAC,CAAC,CAAC,CAAC,MAAM,KAAKjB,EAAEZ,EAAE,CAAC,GAAG,OAAOY,GAAG,SAAS,CAAC,IAAIqB,EAAE0uB,GAAG,gBAAgB/vB,CAAC,EAAE,GAAGqB,EAAE,SAAS,EAAE,MAAM,IAAI0jD,EAAE,0CAA0C/kD,IAAI,EAAE,GAAGqB,EAAE,OAAO,EAAE,MAAM,IAAI0jD,EAAE,wBAAwB1jD,EAAE,kCAAkCrB,IAAI,EAAEA,EAAEqB,EAAE,EAAE,CAAC,GAAGrB,EAAE,MAAM,KAAK,MAAM,IAAI+kD,EAAE,8GAA8G,EAAE,IAAI,EAAE,MAAMh1B,GAAG,cAAc,KAAK,gBAAgB3wB,CAAC,CAAC,EAAEK,EAAE,GAAGwB,EAAE,KAAKE,EAAE,CAAC,cAAc,KAAK,OAAOF,EAAExB,CAAC,EAAE,OAAOs6D,GAAG,YAAY,8BAA8B/B,KAAK,YAAY,IAAI,EAAE,IAAI54D,GAAG,KAAK,GAAGA,EAAE,mBAAmB,KAAK,WAAW,KAAK,CAAC+B,EAAE,eAAe,KAAK,kBAAkB,EAAE,IAAIE,EAAE,YAAY,CAAC,KAAKS,EAAE,MAAMC,CAAC,EAAE,MAAMguB,GAAG,cAAc,MAAM,KAAK,UAAU,WAAW,EAAE1uB,CAAC,EAAE,EAAE,MAAM,KAAK,GAAGU,CAAC,EAAE,EAAE,KAAKguB,GAAG,wBAAwB,CAAC,EAAE,KAAKjuB,CAAC,CAAC,CAAC,CAAC,OAAO,KAAK,qBAAqB,OAAOu1D,GAAG,KAAK,oBAAoB,KAAK,KAAK,EAAE,EAAEl2D,EAAE,oBAAoB,KAAK,qBAAqBA,EAAE,WAAW,EAAE,KAAKA,EAAE,YAAY,EAAE,MAAMnB,EAAE,KAAKmB,CAAC,CAAC,CAAC,uBAAuBnB,EAAE,CAACq3D,GAAGr3D,EAAE,KAAK,IAAI,EAAE,KAAK,oBAAoBA,CAAC,CAAC,wBAAwB,CAAC,OAAO,KAAK,mBAAmB,CAAC,EAAEg6D,GAAG,UAAU,QAAQtjC,GAAE,cAAcsjC,EAAE,EAAE,IAAIC,GAAG,cAAcD,EAAE,CAAC,EAAEC,GAAG,UAAU,aAAavjC,GAAE,cAAcujC,EAAE,EAAE,eAAeC,GAAGh7D,EAAE,EAAE,CAAC,kBAAkBA,IAAIA,EAAE,CAAC,cAAcA,CAAC,GAAGA,EAAEA,EAAE,IAAIE,EAAEF,EAAE,cAAcE,EAAE,cAAc,OAAOA,EAAEA,EAAE,cAAc,IAAII,EAAEs4D,GAAG14D,CAAC,EAAEK,EAAEm1D,GAAGp1D,EAAE,CAAC,EAAE,GAAGN,EAAE,iBAAiB,KAAK,CAAC,IAAI,EAAE,MAAM6wB,GAAG,YAAY7wB,EAAE,gBAAgBA,EAAE,WAAWO,EAAE,QAAQ,IAAI0B,GAAGA,EAAE,YAAY,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQA,KAAK1B,EAAE,QAAQ,EAAE0B,EAAE,cAAc,EAAEA,EAAE,cAAc1B,EAAE,YAAY,CAAC,EAAEkzB,GAAG,CAAC,CAAC,CAAC,OAAOlzB,CAAC,CAAC,eAAe06D,GAAGj7D,EAAE,EAAE,CAAC,GAAG,GAAG,OAAO,EAAE,CAAC,GAAG,OAAOA,GAAG,SAAS,CAAC,IAAIE,EAAE2wB,GAAG,gBAAgB7wB,EAAE,CAAC,EAAE,GAAGE,EAAE,SAAS,EAAEA,EAAE,KAAK2wB,GAAG,mBAAmB7wB,EAAE,CAAC,CAAC,UAAUE,EAAE,OAAO,EAAE,MAAM,IAAI2lD,EAAE,wBAAwB3lD,EAAE,kCAAkCF,IAAI,EAAEA,EAAEE,EAAE,EAAE,CAAC,OAAOg7D,GAAGl7D,EAAE,OAAO,CAAC,CAAC,CAAC,eAAek7D,GAAGl7D,EAAE,EAAEE,EAAE,CAAC,GAAGA,GAAG,OAAOA,EAAE,CAAC,GAAGF,EAAE,MAAM,KAAK,MAAM,IAAI6lD,EAAE,+GAA+G,EAAE,IAAIvlD,EAAE,MAAMN,EAAE,KAAK,EAAEO,EAAED,EAAE,cAAcC,EAAE,cAAc,OAAOA,EAAEA,EAAE,cAAc,IAAI,EAAEL,EAAE,QAAQ,KAAK,GAAGA,EAAE,OAAO,EAAEI,EAAE,YAAY,MAAMA,EAAE,aAAa,MAAM,EAAE2B,EAAEyzD,GAAGkD,GAAGr4D,CAAC,EAAE,EAAE,CAAC,EAAE2B,EAAE5B,EAAE,eAAe,GAAG4B,GAAG,MAAMD,EAAE,mBAAmBC,CAAC,EAAE5B,EAAE,qBAAqB,MAAM2B,EAAE,uBAAuB3B,EAAE,mBAAmB,EAAEA,EAAE,YAAY,KAAK,CAAC,GAAGA,EAAE,aAAa,KAAK,MAAM,IAAIulD,EAAE,gHAAgH,EAAE,GAAG,CAAC,aAAa1jD,EAAE,iBAAiBS,CAAC,EAAEu4D,GAAG76D,EAAE,WAAWA,EAAE,WAAW,EAAE2B,EAAE,YAAYE,EAAE,CAAC,EAAEF,EAAE,WAAW,MAAMW,EAAE,OAAO,GAAG,MAAMX,EAAE,UAAU,WAAWW,CAAC,EAAE6wB,GAAGtxB,CAAC,EAAEsxB,GAAG7wB,EAAE,IAAIC,GAAGA,EAAE,MAAM,CAAC,CAAC,CAAC,OAAOZ,CAAC,CAAC,SAASk5D,GAAGn7D,EAAE,EAAE,CAAC,IAAIE,EAAE2wB,GAAG,cAAc7wB,EAAE,CAAC,EAAEM,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,OAAO,EAAE,QAAQ,GAAG,CAAC,EAAE,QAAQ,YAAYA,EAAE,KAAK,CAAC,KAAK,EAAE,KAAK,OAAOL,EAAE,EAAE,KAAK,CAAC,EAAEI,EAAE,EAAE,MAAMJ,EAAE,EAAE,KAAK,CAAC,EAAE,CAAC,aAAaI,EAAE,iBAAiBC,CAAC,CAAC,CAAC,IAAI66D,GAAG,cAAcN,EAAE,CAAC,YAAYh6D,EAAE,CAAC,GAAG,MAAM,CAAC,OAAO,CAAC,EAAE,QAAQ,CAAC,CAAC,CAAC,EAAEA,EAAEA,GAAG,CAAC,EAAE,KAAK,UAAU,GAAG,KAAK,MAAM,GAAG,KAAK,KAAKA,EAAE,MAAM,KAAKA,EAAE,KAAK2mD,GAAG,aAAa,EAAE3mD,EAAE,QAAQ,KAAK,QAAQZ,KAAKY,EAAE,OAAO,KAAK,IAAIZ,CAAC,CAAC,CAAC,WAAWY,EAAE,CAAC,GAAGA,EAAE,aAAa,GAAG,cAAc,GAAG,MAAM,KAAKR,GAAGA,EAAE,CAAC,EAAE,MAAM,IAAIulD,EAAE,kDAAkD/kD,EAAE,0BAA0BA,EAAE,aAAa,GAAG,aAAa,GAAG,QAAQ,CAAC,CAAC,IAAIA,EAAE,CAAC,IAAIZ,EAAEY,aAAas6D,IAAIt6D,aAAag6D,GAAG,EAAE,GAAG56D,EAAE,CAAC,GAAG,EAAEY,EAAE,EAAE,QAAQ,SAAS,EAAE,MAAM,IAAI+kD,EAAE,uHAAuH,EAAE,GAAG,EAAE,OAAO,SAAS,EAAE,MAAM,IAAIA,EAAE,qHAAqH,CAAC,CAAC,GAAG,KAAK,QAAQ,SAAS,EAAE,CAAC,GAAG/kD,EAAE,aAAa,SAAS,EAAE,CAAC,GAAGA,EAAE,iBAAiB,KAAK,MAAM,IAAI+kD,EAAE,+FAA+F,EAAE,IAAItlD,EAAEgtD,GAAG,CAAC,WAAWzsD,EAAE,gBAAgB,MAAMA,EAAE,MAAM,KAAKA,EAAE,KAAK,QAAQ,CAAC,EAAEA,EAAE,MAAMP,CAAC,CAAC,CAAC,GAAGL,EAAE,KAAK,QAAQ,EAAE,QAAQ,KAAK,OAAO,EAAE,WAAW,CAAC,GAAGY,EAAE,aAAa,SAAS,EAAE,MAAM,IAAI+kD,EAAE,gHAAgH/kD,EAAE,kBAAkBA,EAAE,aAAa,0CAA0C,EAAE,GAAGA,EAAE,aAAa,GAAG,cAAc,SAAS,EAAE,MAAM,IAAI+kD,EAAE,uHAAuH,EAAE,KAAK,WAAW/kD,CAAC,EAAE,KAAK,QAAQ,CAACA,EAAE,aAAa,GAAG,cAAc,EAAE,EAAE,KAAK,OAAOusD,GAAG,KAAK,QAAQ,EAAE,CAAC,CAAC,KAAK,aAAa,CAAC,EAAE,IAAIL,GAAG,CAAC,cAAc,KAAK,cAAc,CAAC,EAAE,YAAY,CAAC,EAAE,cAAc,CAAC,EAAE,aAAa,KAAK,OAAO,cAAc,KAAK,QAAQ,WAAW/G,GAAG,KAAK,KAAK,OAAO,MAAM,EAAE,YAAY,CAAC,IAAI,EAAE,YAAY,KAAK,OAAO,IAAI1lD,GAAGA,EAAE,KAAK,EAAE,aAAa,KAAK,QAAQ,GAAG,KAAK,CAAC,CAAC,KAAK,CAAC,IAAIA,EAAEO,EAAE,MAAM,KAAK,QAAQ,EAAE,EAAE,GAAG,MAAM,QAAQP,CAAC,EAAE,MAAM,IAAI,UAAU,uHAAuH,EAAE,KAAK,WAAWO,CAAC,EAAE,KAAK,QAAQ,CAACP,CAAC,EAAE,KAAK,aAAa,GAAG,cAAc,KAAK,QAAQ,KAAK,aAAa,GAAG,aAAa,CAAC,KAAK,QAAQ,GAAG,KAAK,CAAC,CAAC,KAAK,OAAO,KAAKO,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,KAAK,CAAC,GAAG,KAAK,OAAO,SAAS,EAAE,MAAM,IAAI,UAAU,mCAAmC,EAAE,GAAG,KAAK,OAAO,IAAI,EAAE,KAAK,OAAO,SAAS,EAAE,KAAK,QAAQ,CAAC,EAAE,KAAK,aAAa,CAAC,EAAE,KAAK,cAAc,CAAC,MAAM,CAAC,IAAIA,EAAE,KAAK,OAAO,OAAO,EAAE,KAAK,OAAOA,GAAG,cAAc,CAAC,EAAE,KAAK,QAAQ,CAAC,KAAK,OAAOA,GAAG,MAAM,EAAE,KAAK,aAAa,GAAG,cAAc,KAAK,QAAQ,KAAK,aAAa,GAAG,aAAa,CAAC,KAAK,QAAQ,GAAG,KAAK,CAAC,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAO,KAAK,OAAO,MAAM,KAAK,MAAM,EAAE,KAAK,MAAM,KAAKY,EAAEZ,CAAC,CAAC,CAAC,MAAMY,EAAE,CAAC,GAAGwrD,GAAGxrD,CAAC,EAAE,KAAK,OAAO,SAAS,GAAG,KAAK,QAAQ,SAAS,EAAE,MAAM,IAAI,UAAU,0EAA0E,EAAE,KAAK,MAAM,IAAIg6D,GAAG,CAAC,OAAO,KAAK,OAAO,QAAQ,KAAK,QAAQ,GAAG,KAAK,KAAK,KAAK,QAAQ,CAAC,EAAE,KAAK,MAAM,UAAU,KAAK,UAAU,KAAK,gBAAgB,KAAK,MAAM,gBAAgB,KAAK,YAAY,KAAK,MAAM,YAAY,KAAK,uBAAuB,KAAK,MAAM,uBAAuB,KAAK,yBAAyB,KAAK,MAAM,yBAAyB,KAAK,aAAa,KAAK,MAAM,aAAa,KAAK,wBAAwB,KAAK,MAAM,wBAAwB,KAAK,0BAA0B,KAAK,MAAM,0BAA0B,KAAK,aAAa,KAAK,MAAM,aAAa,KAAK,eAAe,KAAK,MAAM,eAAe,KAAK,YAAY,KAAK,MAAM,YAAY,KAAK,WAAW,KAAK,MAAM,WAAW,KAAK,MAAM,EAAE,CAAC,aAAa,CAAC,OAAO,KAAK,OAAO,KAAK,MAAM,EAAE,MAAM,YAAY,CAAC,CAAC,QAAQh6D,EAAEZ,EAAE,EAAE,QAAQ,IAAI,CAAC,KAAK,OAAO,KAAK,MAAM,EAAE,MAAM,QAAQY,EAAEZ,EAAE,CAAC,CAAC,CAAC,WAAWY,EAAE,CAAC,KAAK,OAAO,MAAM,KAAK,MAAM,EAAE,KAAK,MAAM,WAAWA,CAAC,CAAC,CAAC,SAASA,EAAEZ,EAAE,EAAE,CAAC,EAAE,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,IAAI0lD,GAAG,mDAAmD,EAAE,OAAO,KAAK,MAAM,SAAS9kD,EAAEZ,EAAE,CAAC,CAAC,CAAC,MAAM,gBAAgBY,EAAEZ,EAAE,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,IAAI0lD,GAAG,mDAAmD,EAAE,OAAO,KAAK,MAAM,gBAAgB9kD,EAAEZ,CAAC,CAAC,CAAC,QAAQY,EAAEZ,EAAE,CAAC,EAAE,CAAC,OAAO,KAAK,OAAO,MAAM,KAAK,MAAM,EAAE,KAAK,MAAM,QAAQY,EAAEZ,CAAC,CAAC,CAAC,eAAeY,EAAE,CAAC,OAAO,KAAK,OAAO,MAAM,KAAK,MAAM,EAAE,KAAK,MAAM,eAAeA,CAAC,CAAC,CAAC,QAAQA,EAAE,CAAC,KAAK,MAAM,EAAE,KAAK,MAAM,QAAQA,CAAC,EAAE,KAAK,WAAW,KAAK,MAAM,UAAU,KAAK,iBAAiB,KAAK,MAAM,iBAAiB,KAAK,KAAK,KAAK,MAAM,KAAK,KAAK,QAAQ,KAAK,MAAM,QAAQ,KAAK,eAAe,KAAK,MAAM,eAAe,KAAK,aAAa,KAAK,MAAM,YAAY,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,OAAO,KAAK,OAAO,KAAK,MAAM,SAAS,CAAC,IAAI,UAAUA,EAAE,CAAC,KAAK,MAAM,UAAUA,CAAC,CAAC,MAAM,IAAIA,EAAEZ,EAAE,EAAE,CAAC,EAAE,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,IAAI0lD,GAAG,mDAAmD,EAAE,OAAO,KAAK,MAAM,IAAI9kD,EAAEZ,EAAE,CAAC,CAAC,CAAC,MAAM,WAAWY,EAAEZ,EAAE,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,IAAI0lD,GAAG,mDAAmD,EAAE,OAAO,KAAK,MAAM,WAAW9kD,EAAEZ,CAAC,CAAC,CAAC,MAAM,aAAaY,EAAEZ,EAAE,CAAC,OAAO,KAAK,MAAM,aAAaY,EAAEZ,CAAC,CAAC,CAAC,OAAO,WAAWY,EAAEZ,EAAE,EAAE,CAAC,EAAEK,EAAE,GAAG,CAAC,IAAIwB,EAAEC,EAAE,CAAC,EAAE,GAAG9B,aAAa,MAAM,CAAC,GAAGA,EAAE,GAAG,WAAW,MAAMA,EAAE,GAAG,YAAY,QAAQ,MAAM,IAAI2lD,EAAE,gDAAgD,EAAE9jD,EAAE7B,CAAC,MAAM2mB,EAAE,OAAO3mB,EAAE,QAAQ,KAAK,IAAI,qHAAqH,EAAE6B,EAAE7B,EAAE,OAAO,OAAOA,EAAE,OAAO8B,EAAE9B,EAAE,IAAI+B,EAAE,IAAInB,EAAEkB,CAAC,EAAE,GAAG,EAAEC,aAAam5D,IAAI,MAAM,IAAItV,GAAG,yDAAyD7jD,GAAG,EAAE,QAAQC,KAAKH,EAAE,CAAC,IAAIa,EAAE8yD,GAAGxzD,EAAE,OAAO3B,CAAC,EAAEA,GAAGqC,EAAE,6BAA6B,EAAE,EAAEX,EAAE,IAAIW,CAAC,CAAC,CAAC,OAAOX,CAAC,CAAC,IAAI,aAAanB,EAAE,CAAC,GAAG,KAAK,OAAO,KAAK,MAAM,IAAI+kD,EAAE,mFAAmF,EAAE,KAAK,MAAM,aAAa/kD,CAAC,CAAC,IAAI,cAAc,CAAC,GAAG,KAAK,OAAO,KAAK,MAAM,IAAI+kD,EAAE,mFAAmF,EAAE,OAAO,KAAK,MAAM,YAAY,CAAC,WAAW,CAAC,IAAI/kD,EAAE,CAAC,EAAE,QAAQZ,KAAK,KAAK,OAAO,CAAC,IAAI,EAAE,CAAC,EAAE,EAAE,UAAUA,EAAE,aAAa,EAAE,EAAE,OAAOA,EAAE,UAAU,EAAEY,EAAE,KAAK,CAAC,CAAC,CAAC,MAAM,CAAC,KAAK,KAAK,KAAK,OAAOA,CAAC,CAAC,CAAC,EAAEs6D,GAAG,UAAU,aAAa5jC,GAAE,cAAc4jC,EAAE,EAAE,SAASC,GAAGr7D,EAAE,CAAC,OAAO,IAAI86D,GAAG96D,CAAC,CAAC,CAAC,SAASs7D,GAAGt7D,EAAE,CAAC,OAAO,IAAIo7D,GAAGp7D,CAAC,CAAC,CAAC,SAASu7D,GAAGv7D,EAAE,EAAE,CAAC,OAAO,GAAG,OAAO,EAAE,CAAC,GAAGi7D,GAAGj7D,EAAE,CAAC,CAAC,CAAC,SAAS8yD,GAAG9yD,EAAE,CAAC,OAAOutD,GAAGvtD,CAAC,CAAC,CAAC,SAASw7D,GAAGx7D,EAAE,EAAE,CAACw1D,GAAG,4BAA4Bx1D,EAAE,CAAC,CAAC,CAAC,IAAIy7D,GAAG,cAAcjkC,GAAE,YAAY,CAAC,WAAW,CAAC,MAAM,CAAC,CAAC,CAAC,EAAEkkC,GAAG,cAAcD,EAAE,CAAC,MAAM36D,EAAEZ,EAAE,EAAE,CAAC,OAAOmqD,GAAGvpD,EAAEZ,CAAC,CAAC,CAAC,EAAEw7D,GAAG,UAAU,MAAMlkC,GAAE,cAAckkC,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,MAAM36D,EAAE,CAAC,OAAOusC,GAAGvsC,CAAC,CAAC,CAAC,EAAE66D,GAAG,UAAU,OAAOnkC,GAAE,cAAcmkC,EAAE,EAAE,IAAIC,GAAG,cAAcH,EAAE,CAAC,MAAM36D,EAAE,CAAC,OAAOqrC,GAAGrrC,CAAC,CAAC,CAAC,EAAE86D,GAAG,UAAU,OAAOpkC,GAAE,cAAcokC,EAAE,EAAE,IAAIC,GAAG,cAAcJ,EAAE,CAAC,MAAM36D,EAAE,CAAC,OAAO0yB,EAAE,IAAIgV,GAAG,EAAE2D,GAAGrrC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE+6D,GAAG,UAAU,QAAQrkC,GAAE,cAAcqkC,EAAE,EAAE,IAAIC,GAAG,cAAcL,EAAE,CAAC,MAAM36D,EAAE,CAAC,OAAOA,CAAC,CAAC,EAAEg7D,GAAG,UAAU,SAAStkC,GAAE,cAAcskC,EAAE,EAAE,IAAIC,GAAG,cAAcN,EAAE,CAAC,MAAM36D,EAAE,CAAC,OAAO27B,GAAG37B,CAAC,CAAC,CAAC,EAAEi7D,GAAG,UAAU,UAAUvkC,GAAE,cAAcukC,EAAE,EAAE,IAAIC,GAAG,cAAcP,EAAE,CAAC,MAAM36D,EAAE,CAAC,OAAO0pD,GAAG1pD,CAAC,CAAC,CAAC,EAAEk7D,GAAG,UAAU,cAAcxkC,GAAE,cAAcwkC,EAAE,EAAE,IAAIC,GAAG,cAAcR,EAAE,CAAC,MAAM36D,EAAE,CAAC,OAAOulC,GAAGvlC,CAAC,CAAC,CAAC,EAAEm7D,GAAG,UAAU,WAAWzkC,GAAE,cAAcykC,EAAE,EAAE,IAAIC,GAAG,cAAcT,EAAE,CAAC,MAAM36D,EAAE,CAAC,OAAOwpD,GAAGxpD,CAAC,CAAC,CAAC,EAAEo7D,GAAG,UAAU,WAAW1kC,GAAE,cAAc0kC,EAAE,EAAE,IAAIC,GAAG,cAAcV,EAAE,CAAC,MAAM36D,EAAE,CAAC,OAAO+7B,GAAG/7B,CAAC,CAAC,CAAC,EAAEq7D,GAAG,UAAU,OAAO3kC,GAAE,cAAc2kC,EAAE,EAAE,IAAIC,GAAG,cAAcX,EAAE,CAAC,MAAM36D,EAAEZ,EAAE,GAAG,CAAC,OAAOuuC,GAAG3tC,EAAEZ,CAAC,CAAC,CAAC,EAAEk8D,GAAG,UAAU,UAAU5kC,GAAE,cAAc4kC,EAAE,EAAE,IAAIC,GAAG,cAAcZ,EAAE,CAAC,MAAM36D,EAAEZ,EAAE,GAAG,CAAC,OAAOymC,GAAG7lC,EAAEZ,CAAC,CAAC,CAAC,EAAEm8D,GAAG,UAAU,aAAa7kC,GAAE,cAAc6kC,EAAE,EAAE,IAAIC,GAAG,cAAcb,EAAE,CAAC,MAAM36D,EAAEZ,EAAE,EAAE,CAAC,OAAOszB,EAAE,IAAI2F,EAAEsD,GAAGtD,EAAEr4B,EAAEZ,CAAC,CAAC,EAAEY,CAAC,CAAC,CAAC,CAAC,EAAEw7D,GAAG,UAAU,QAAQ9kC,GAAE,cAAc8kC,EAAE,EAAE,IAAIC,GAAG,cAAcd,EAAE,CAAC,MAAM36D,EAAE,CAAC,OAAO0yB,EAAE,IAAI2F,EAAEr4B,EAAE+7B,GAAGwJ,GAAGvlC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEy7D,GAAG,UAAU,OAAO/kC,GAAE,cAAc+kC,EAAE,EAAE,SAASC,GAAGx8D,EAAE,CAAC,OAAOA,EAAE,aAAa,CAAC,CAAC,SAASy8D,GAAGz8D,EAAE,EAAE,CAAC,EAAE,CAAC,OAAO2mD,GAAG3mD,EAAEw3B,GAAE,iBAAiB,OAAO,EAAE,aAAa,EAAE,YAAY,CAAC,CAAC,SAASklC,GAAG18D,EAAE,CAAC,GAAGA,GAAG,KAAK,CAAC,IAAI,EAAE,CAAC,EAAE,OAAO,EAAE,UAAU,SAAS,EAAE,OAAO,CAAC,EAAEy8D,GAAG,CAAC,CAAC,CAAC,GAAG,OAAOz8D,GAAG,SAAS,CAAC,IAAI,EAAE,CAAC,EAAE,OAAO,EAAE,UAAUA,EAAE,EAAE,OAAO,CAAC,EAAEy8D,GAAG,CAAC,CAAC,KAAM,QAAOz8D,aAAay7D,GAAGz7D,EAAEy8D,GAAGz8D,CAAC,CAAC,CAAC,SAAS28D,GAAG38D,EAAE,CAAC,GAAGA,GAAG,MAAM,OAAOA,GAAG,SAAS,MAAM,IAAI,MAAM,yFAAyFA,GAAG,CAAC,CAAC,IAAI48D,GAAG,cAAcplC,GAAE,YAAY,CAAC,EAAEqlC,GAAG,cAAcD,EAAE,CAAC,YAAY97D,EAAE,CAAC,MAAM,EAAE67D,GAAG77D,CAAC,EAAE,KAAK,GAAGA,GAAG,MAAMA,EAAE,IAAI,KAAK,IAAIA,EAAE,GAAG,KAAK,GAAGA,GAAG,MAAMA,EAAE,IAAI,KAAK,IAAIA,EAAE,GAAG,KAAK,MAAM,KAAK,KAAK,EAAE,KAAK,MAAM,KAAK,KAAK,CAAC,CAAC,MAAMA,EAAE,CAAC,OAAO0yB,EAAE,IAAI,CAAC,IAAItzB,EAAEkoC,GAAG,CAAC,CAAC,CAAC,EAAE,OAAO,KAAK,QAAQloC,EAAE24B,EAAE34B,EAAEgjC,GAAG/J,EAAE,KAAK,GAAGE,GAAGv4B,CAAC,CAAC,CAAC,CAAC,GAAG,KAAK,QAAQZ,EAAE24B,EAAE34B,EAAEgjC,GAAG/J,EAAE,KAAK,GAAGgxB,GAAGrpD,CAAC,CAAC,CAAC,CAAC,GAAGm7B,EAAE/7B,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,GAAG,KAAK,GAAG,GAAG,KAAK,EAAE,CAAC,CAAC,OAAO,WAAWY,EAAEZ,EAAE,CAAC,OAAO,IAAIY,EAAE,CAAC,GAAGZ,EAAE,GAAG,GAAGA,EAAE,EAAE,CAAC,CAAC,CAAC,EAAE28D,GAAG,UAAU,OAAOrlC,GAAE,cAAcqlC,EAAE,EAAE,SAASC,GAAG98D,EAAE,CAAC,OAAO28D,GAAG38D,CAAC,EAAE,IAAI68D,GAAG,CAAC,GAAG78D,GAAG,KAAKA,EAAE,GAAG,KAAK,GAAG,CAAC,CAAC,CAAC,CAAC,SAAS+8D,GAAG/8D,EAAE,CAAC,OAAO28D,GAAG38D,CAAC,EAAE,IAAI68D,GAAG,CAAC,GAAG78D,GAAG,KAAKA,EAAE,GAAG,KAAK,GAAG,CAAC,CAAC,CAAC,CAAC,IAAIg9D,GAAG,CAAC,KAAK,MAAM,EAAE,SAASC,GAAGj9D,EAAE,CAAC,OAAOymD,GAAGzmD,CAAC,CAAC,CAAC,SAASk9D,GAAGl9D,EAAE,EAAE,CAAC,EAAE,CAAC,OAAO2mD,GAAG3mD,EAAEw3B,GAAE,iBAAiB,OAAO,EAAE,aAAa,EAAE,aAAa,CAAC,CAAC,SAAS2lC,GAAGn9D,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,KAAK,GAAG,OAAOA,GAAG,SAAS,CAAC,IAAIE,EAAE,CAAC,UAAUF,KAAKg9D,GAAGA,GAAGh9D,GAAGA,EAAE,OAAO,CAAC,CAAC,EAAE,OAAOk9D,GAAGh9D,CAAC,CAAC,KAAM,QAAOF,aAAa48D,GAAG58D,EAAEk9D,GAAGl9D,CAAC,CAAC,CAAC,IAAIo9D,GAAG,cAAclQ,EAAE,CAAC,YAAYpsD,EAAE,CAAC,MAAMA,GAAG,KAAK,CAAC,EAAEA,CAAC,EAAE,KAAK,gBAAgB,GAAGA,GAAG,OAAO,KAAK,SAASA,EAAE,SAAS,CAAC,KAAKA,EAAEZ,EAAE,CAACY,EAAEurD,GAAGvrD,CAAC,EAAE,IAAI,EAAEqrC,GAAGrrC,CAAC,EAAE,OAAO,KAAK,UAAU,OAAO,EAAEu9B,GAAG,EAAE,EAAE,KAAK,QAAQ,GAAG,CAAC,CAAC,mBAAmBv9B,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,SAAS,KAAK,QAAQ,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEs8D,GAAG,UAAU,OAAO5lC,GAAE,cAAc4lC,EAAE,EAAE,IAAIC,GAAG,cAAcnQ,EAAE,CAAC,YAAYpsD,EAAE,CAAC,MAAMA,GAAG,KAAK,CAAC,EAAEA,CAAC,EAAE,KAAK,cAAc,GAAGA,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,MAAMA,EAAE,OAAO,KAAK,KAAK,cAAcA,EAAE,KAAK,CAAC,KAAKA,EAAEZ,EAAE,CAAC,IAAI,EAAEmsD,GAAGvrD,CAAC,EAAE,OAAOmkC,GAAG,EAAE,KAAK,KAAK,CAAC,CAAC,mBAAmBnkC,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,MAAM,KAAK,KAAK,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEu8D,GAAG,UAAU,YAAY7lC,GAAE,cAAc6lC,EAAE,EAAE,IAAIC,GAAG,cAAcpQ,EAAE,CAAC,YAAYpsD,EAAE,CAAC,GAAG,MAAMA,GAAG,KAAK,CAAC,EAAEA,CAAC,EAAE,KAAK,0BAA0B,QAAQA,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,gBAAgB,GAAG,KAAK,iBAAiBorD,GAAGprD,EAAE,kBAAkB,KAAK,yBAAyB,EAAE,KAAK,iBAAiBq8D,GAAGr8D,EAAE,gBAAgB,EAAE,KAAK,gBAAgBmuD,GAAGnuD,EAAE,eAAe,EAAEA,EAAE,YAAY,KAAK,KAAK,WAAW,aAAa,MAAM,QAAQA,EAAE,UAAU,EAAE,KAAK,WAAWA,EAAE,mBAAmB,OAAOA,EAAE,YAAY,SAAS,KAAK,WAAW,CAACA,EAAE,UAAU,MAAO,OAAM,IAAI+kD,EAAE,sEAAsE/kD,EAAE,YAAY,CAAC,CAAC,MAAMA,EAAE,CAACA,EAAEwrD,GAAGxrD,CAAC,EAAE,IAAIZ,EAAEY,EAAE,MAAM,CAAC,EAAE,GAAG,KAAK,YAAY,KAAK,QAAQP,KAAK,KAAK,WAAWL,EAAEK,EAAE,GAAG,EAAE,KAAK,MAAM,KAAK,UAAU,QAAQL,EAAE,UAAU,KAAK,iBAAiB,KAAK,iBAAiB,GAAG,KAAK,eAAe,EAAE,IAAI,EAAE,CAAC,EAAE,GAAG,KAAK,YAAY,KAAK,QAAQK,EAAE,EAAEA,EAAEO,EAAE,OAAO,EAAEP,EAAE,EAAEA,GAAGO,EAAEP,GAAG,KAAK,UAAU,CAAC,IAAIssD,GAAG,CAAC,KAAK/rD,EAAE,OAAO,KAAK,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOY,EAAEurD,GAAGvrD,CAAC,EAAE4pC,GAAG5pC,EAAE,KAAK,MAAM,KAAK,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,iBAAiBmrD,GAAG,KAAK,gBAAgB,EAAE,iBAAiBgR,GAAG,KAAK,gBAAgB,EAAE,gBAAgBlO,GAAG,KAAK,eAAe,EAAE,WAAW,KAAK,UAAU,EAAE7uD,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEw8D,GAAG,UAAU,QAAQ9lC,GAAE,cAAc8lC,EAAE,EAAE,IAAIC,GAAG,cAAcrQ,EAAE,CAAC,YAAYpsD,EAAE,CAAC,GAAG,MAAMA,GAAG,KAAK,CAAC,EAAEA,CAAC,EAAE,KAAK,cAAc,EAAEA,GAAG,OAAOA,EAAE,CAAC,GAAGA,EAAE,OAAO,MAAMA,EAAE,QAAQ,KAAK,cAAc,MAAM,IAAIglD,GAAG,4BAA4BhlD,EAAE,+CAA+C,EAAE,KAAK,MAAMA,EAAE,OAAO,KAAK,KAAK,cAAcA,EAAE,KAAK,CAAC,KAAKA,EAAEZ,EAAE,CAAC,IAAI,EAAEmsD,GAAGvrD,CAAC,EAAE,OAAO6gC,GAAG,CAAC,CAAC,CAAC,mBAAmB7gC,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,MAAM,KAAK,KAAK,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEy8D,GAAG,UAAU,MAAM/lC,GAAE,cAAc+lC,EAAE,EAAE,IAAIC,GAAG,cAActQ,EAAE,CAAC,YAAYpsD,EAAE,CAAC,MAAMA,GAAG,KAAK,CAAC,EAAEA,CAAC,EAAE,KAAK,cAAc,EAAEA,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,MAAMA,EAAE,OAAO,KAAK,KAAK,cAAcA,EAAE,KAAK,CAAC,KAAKA,EAAEZ,EAAE,CAAC,IAAI,EAAEmsD,GAAGvrD,CAAC,EAAE,OAAOq4B,EAAE,EAAE3I,GAAE+T,GAAG,EAAE,KAAK,KAAK,EAAE,SAAS,CAAC,CAAC,CAAC,mBAAmBzjC,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,MAAM,KAAK,KAAK,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAE08D,GAAG,UAAU,kBAAkBhmC,GAAE,cAAcgmC,EAAE,EAAE,IAAIC,GAAG,cAAcvQ,EAAE,CAAC,YAAYpsD,EAAE,CAAC,MAAMA,GAAG,KAAK,CAAC,EAAEA,CAAC,EAAE,KAAK,aAAa,EAAEA,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,QAAQ,IAAIs7D,GAAG,EAAE,MAAM,KAAK,KAAKt7D,EAAE,MAAM,KAAK,KAAK,aAAaA,EAAE,IAAI,CAAC,KAAKA,EAAEZ,EAAE,CAAC,IAAI,EAAEmsD,GAAGvrD,CAAC,EAAE,OAAO,KAAK,QAAQ,EAAE,KAAK,IAAI,CAAC,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,KAAK,KAAK,IAAI,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAE28D,GAAG,UAAU,UAAUjmC,GAAE,cAAcimC,EAAE,EAAE,SAASC,GAAG19D,EAAE,EAAEE,EAAE,CAAC,GAAG,OAAOF,GAAG,SAAS,OAAOimD,GAAGjmD,EAAE,CAAC,EAAE,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI6lD,EAAE,OAAO3lD,6CAA6C,yBAAyBF,EAAE,kBAAkB,EAAE,QAAQM,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAEP,EAAEM,GAAG,GAAG,CAACsoD,GAAGroD,CAAC,EAAE,MAAM,IAAIslD,EAAE,OAAO3lD,6CAA6C,yBAAyB,KAAK,UAAUF,CAAC,oCAAoCO,GAAG,CAAC,CAAC,OAAOP,CAAC,CAAC,SAAS29D,GAAG39D,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,GAAGP,GAAG,KAAK,OAAOA,EAAE,IAAI,EAAE,GAAG,EAAE,IAAIO,EAAE,GAAG,EAAE,OAAOL,IAAI,OAAO,EAAEF,EAAE,EAAEA,EAAE,EAAE,EAAE,KAAK,OAAO,EAAEM,EAAE,GAAGA,CAAC,CAAC,CAAC,SAASs9D,GAAG59D,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAGN,GAAG,KAAK,OAAO,KAAK,GAAGM,IAAI,QAAQN,EAAEA,EAAE,EAAE+oD,GAAG,CAAC7oD,EAAE,EAAE,CAAC,CAAC,UAAUI,IAAI,OAAON,EAAEA,EAAE,MAAO,OAAM,IAAI6lD,EAAE,2BAA2BvlD,IAAI,EAAE,OAAON,CAAC,CAAC,SAAS69D,GAAG79D,EAAE,EAAE,CAAC,OAAOwzB,EAAE,KAAKw0B,GAAG,CAAC,EAAE,IAAI,gBAAgBpzB,GAAG50B,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,EAAEA,EAAE,CAAC,CAAC,SAAS89D,GAAG99D,EAAE,EAAE,CAAC,OAAOwzB,EAAE,KAAKw0B,GAAG,CAAC,EAAE,IAAI,gBAAgBpzB,GAAG50B,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,EAAEA,EAAE,CAAC,CAAC,SAAS+9D,GAAG/9D,EAAE,EAAEE,EAAEI,EAAE,EAAEC,EAAE,QAAQ,EAAE,EAAE,EAAE,CAAC,OAAOizB,EAAE,IAAI,CAAC,GAAG,GAAG,OAAO,EAAE21B,GAAG,GAAGnB,GAAG,CAAC,EAAEhoD,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI6lD,EAAE,+DAA+D7lD,EAAE,MAAM,iBAAiB,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI6lD,EAAE,iEAAiE,EAAE,MAAM,gBAAgB,EAAE,GAAG3lD,GAAG,MAAMA,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI2lD,EAAE,+DAA+D,EAAE,MAAM,gBAAgB,EAAE,GAAG,IAAI,kBAAkB7lD,EAAE40B,GAAG50B,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,GAAGO,IAAI,SAAS,MAAM,IAAIulD,GAAG,+EAA+E,EAAE,IAAI7jD,EAAEg9B,GAAGj/B,EAAE,EAAEM,EAAEC,IAAI,OAAO,OAAO,QAAQ,MAAM,CAAC,EAAE,OAAOL,GAAG,OAAO+B,EAAEmoD,GAAGnoD,EAAE/B,CAAC,GAAG+B,CAAC,CAAC,CAAC,CAAC,SAAS+7D,GAAGh+D,EAAE,EAAEE,EAAEI,EAAE,CAAC,EAAE,CAAC,EAAEC,EAAE,QAAQ,EAAE,EAAE0B,EAAE,KAAK,CAAC,OAAOuxB,EAAE,IAAI,CAAC,GAAG,GAAG,OAAO,EAAE21B,GAAG,GAAGnB,GAAG,CAAC,EAAEhoD,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,MAAM,IAAI6lD,EAAE,6EAA6E7lD,EAAE,OAAO,EAAE,GAAG,EAAE,OAAO,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI6lD,EAAE,8EAA8E7lD,EAAE,OAAO,EAAE,IAAIkC,EAAE27D,GAAG79D,EAAE,CAAC,EAAE,GAAGO,IAAI,SAAS,MAAM,IAAIulD,GAAG,+EAA+E,EAAE,OAAO5jD,EAAEowC,GAAG,OAAO,CAAC,EAAEpwC,EAAE,OAAO,EAAE,QAAQ5B,EAAE,IAAIC,IAAI,OAAO,OAAO,QAAQ,UAAU,EAAE,WAAW,OAAO,KAAKL,EAAE,WAAW+B,CAAC,CAAC,EAAE,IAAI,kBAAkBC,EAAE0yB,GAAG1yB,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,GAAGA,CAAC,CAAC,CAAC,CAAC,SAAS+7D,GAAGj+D,EAAE,EAAEE,EAAEI,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEC,EAAE,QAAQ,EAAE,EAAE,CAAC,OAAOizB,EAAE,IAAI,CAAC,GAAG,GAAG,OAAO,EAAE21B,GAAG,GAAGnB,GAAG,CAAC,EAAEhoD,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,MAAM,IAAI6lD,EAAE,mEAAmE7lD,EAAE,OAAO,EAAE,GAAG,EAAE,OAAO,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI6lD,EAAE,oEAAoE7lD,EAAE,OAAO,EAAE,IAAIiC,EAAE67D,GAAG99D,EAAE,CAAC,EAAE,GAAGO,IAAI,SAAS,MAAM,IAAIulD,GAAG,+EAA+E,EAAE,OAAO7jD,EAAEs9B,GAAGt9B,EAAE,EAAE3B,EAAEC,IAAI,OAAO,OAAO,QAAQ,QAAQ,CAAC,EAAEL,GAAG,OAAO+B,EAAEmoD,GAAGnoD,EAAE/B,CAAC,GAAG,IAAI,kBAAkB+B,EAAE2yB,GAAG3yB,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,GAAGA,CAAC,CAAC,CAAC,CAAC,IAAIi8D,GAAG,cAAchR,EAAE,CAAC,YAAYpsD,EAAEZ,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,KAAK,KAAK,KAAK,2BAA2B,eAAe,KAAK,yBAAyB,QAAQg+D,GAAG,WAAWh+D,CAAC,EAAE,KAAK,KAAKY,EAAEomD,GAAG,KAAK,KAAK,MAAM,EAAE,KAAK,OAAO,GAAG,KAAK,OAAO,GAAG,KAAK,OAAO,EAAE,MAAM,IAAIpB,GAAG,qDAAqD,KAAK,+BAA+B,EAAE,GAAG,KAAK,WAAW4X,GAAGx9D,EAAE,WAAWY,EAAE,YAAY,EAAE,KAAK,QAAQ48D,GAAGx9D,EAAE,SAAS,KAAK,EAAEA,EAAE,QAAQY,EAAE,SAAS,EAAE,KAAK,QAAQZ,EAAE,SAAS,KAAK,QAAQA,EAAE,QAAQgoD,GAAG,KAAK,OAAO,EAAE,KAAK,WAAWhoD,EAAE,YAAY,KAAK,eAAeA,EAAE,WAAW8nD,GAAG,KAAK,UAAU,EAAE,KAAK,WAAW0U,GAAGx8D,EAAE,UAAU,EAAE,KAAK,QAAQA,EAAE,SAAS,KAAK,GAAGA,EAAE,QAAQ,KAAK,gBAAgBgsD,GAAGhsD,EAAE,iBAAiB,KAAK,wBAAwB,EAAE,KAAK,eAAe+uD,GAAG/uD,EAAE,cAAc,EAAE,KAAK,gBAAgBi9D,GAAGj9D,EAAE,eAAe,EAAE,KAAK,oBAAoBi9D,GAAGj9D,EAAE,mBAAmB,EAAE,KAAK,aAAaw9D,GAAGx9D,EAAE,cAAc,KAAK,EAAEA,EAAE,aAAaY,EAAE,cAAc,EAAE,KAAK,OAAO,GAAG,MAAM,QAAQ,KAAK,YAAY,GAAG,KAAK,aAAa,SAAS,EAAE,MAAM,IAAI+kD,EAAE,iGAAiG,KAAK,UAAU,KAAK,YAAY,GAAG,EAAE,GAAG,KAAK,OAAO,GAAG,GAAG,OAAO,KAAK,cAAc,SAAS,KAAK,aAAa,CAAC,KAAK,aAAa,KAAK,YAAY,UAAU,KAAK,aAAa,SAAS,EAAE,MAAM,IAAIA,EAAE,0FAA0F,KAAK,UAAU,KAAK,YAAY,GAAG,UAAU,KAAK,OAAO,GAAG,GAAG,OAAO,KAAK,cAAc,SAAS,KAAK,aAAa,CAAC,KAAK,aAAa,KAAK,aAAa,KAAK,YAAY,UAAU,KAAK,aAAa,SAAS,EAAE,MAAM,IAAIA,EAAE,4FAA4F,KAAK,UAAU,KAAK,YAAY,GAAG,EAAE,CAAC,OAAO,WAAW/kD,EAAE,CAAC,GAAGolD,GAAG,eAAeplD,EAAE,yCAAyC,EAAE,OAAOA,EAAE,YAAY,UAAU,CAACmmD,GAAGnmD,EAAE,WAAW,SAAS,EAAE,CAAC,EAAE,MAAM,IAAI+kD,EAAE,oGAAoG,KAAK,UAAU/kD,EAAE,UAAU,IAAI,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,WAAW,KAAK,WAAW,QAAQ,KAAK,QAAQ,QAAQ,KAAK,QAAQ,WAAW,KAAK,WAAW,aAAa,KAAK,aAAa,WAAW07D,GAAG,KAAK,UAAU,EAAE,QAAQ,KAAK,QAAQ,gBAAgBvQ,GAAG,KAAK,eAAe,EAAE,gBAAgBgR,GAAG,KAAK,eAAe,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,eAAelO,GAAG,KAAK,cAAc,CAAC,EAAE7uD,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEq9D,GAAG,cAAcD,EAAE,CAAC,YAAYp9D,EAAEZ,EAAE,CAAC,MAAMY,EAAEZ,CAAC,EAAE,KAAK,OAAO,KAAKi+D,GAAG,WAAWj+D,CAAC,EAAE,KAAK,QAAQA,EAAE,QAAQgnD,GAAG,KAAK,QAAQ,SAAS,EAAE,KAAK,kBAAkBgF,GAAGhsD,EAAE,mBAAmB,KAAK,0BAA0B,EAAE,KAAK,iBAAiB+uD,GAAG/uD,EAAE,gBAAgB,EAAE,KAAK,kBAAkBi9D,GAAGj9D,EAAE,iBAAiB,CAAC,CAAC,MAAMY,EAAE,CAACA,EAAEwrD,GAAGxrD,CAAC,EAAE,IAAIZ,EAAE,KAAK,aAAa,gBAAgB,EAAEY,EAAE,OAAO,EAAE,GAAGA,EAAEZ,IAAI,KAAK,MAAM,IAAI2lD,EAAE,+DAA+D/kD,EAAEZ,IAAI,EAAE,IAAI,EAAEY,EAAEZ,GAAGK,EAAE,KAAK,WAAW,OAAO,CAAC,EAAE,KAAK,OAAO,CAAC,EAAE,KAAK,OAAO,KAAK,UAAU,SAASA,EAAE,KAAK,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,KAAK,UAAU,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,OAAO,EAAE,KAAK,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,GAAG,KAAK,UAAU,CAAC,CAAC,KAAK,KAAK,KAAK,EAAE,KAAK,CAAC,CAACL,GAAG,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,KAAKY,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC1yB,EAAEurD,GAAGvrD,CAAC,EAAE,IAAI,EAAEP,EAAE,KAAK,MAAM,KAAK,KAAK,KAAK,KAAK,KAAK,EAAEwB,EAAEslD,GAAG,KAAK,WAAW,aAAa,CAAC,EAAE,GAAGtlD,GAAG,MAAM,KAAK,OAAO,EAAE,EAAEi8D,GAAGl9D,EAAE,KAAK,OAAO,KAAK,EAAEP,EAAE,KAAK,QAAQ,KAAK,QAAQ,KAAK,WAAW,KAAK,aAAawB,CAAC,MAAM,CAAC,GAAG,KAAK,OAAO,EAAE,EAAEg8D,GAAGj9D,EAAE,KAAK,OAAO,KAAK,EAAEP,EAAE,KAAK,QAAQ,GAAG,KAAK,QAAQ,KAAK,WAAW,KAAK,aAAa,EAAE,UAAU,KAAK,OAAO,EAAE,EAAEy9D,GAAGl9D,EAAE,KAAK,OAAO,KAAK,EAAEP,EAAE,KAAK,QAAQ,KAAK,QAAQ,KAAK,WAAW,KAAK,YAAY,UAAU,KAAK,OAAO,EAAE,EAAE09D,GAAGn9D,EAAE,KAAK,OAAO,KAAK,EAAEP,EAAE,KAAK,QAAQ,KAAK,QAAQ,KAAK,WAAW,KAAK,YAAY,MAAO,OAAM,IAAIulD,GAAG,uDAAuD,EAAE,KAAK,YAAY,OAAO,EAAE,KAAK,WAAW,MAAM,CAAC,EAAE,CAAC,OAAO,CAAC,CAAC,CAAC,CAAC,mBAAmBhlD,EAAE,CAACA,EAAEwrD,GAAGxrD,CAAC,EAAE,IAAIZ,EAAE,CAAC,EAAE,EAAE,KAAK,aAAa,eAAeY,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAE,QAAQiB,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAE27D,GAAG,EAAE57D,GAAG,KAAK,WAAWA,GAAG,KAAK,QAAQ,KAAK,QAAQA,GAAG,OAAO,KAAK,cAAc,SAAS,KAAK,aAAa,KAAK,aAAaA,EAAE,EAAE7B,EAAE,KAAK8B,CAAC,CAAC,CAAC,IAAIzB,EAAE,CAACO,EAAE,EAAE,EAAE,OAAO,KAAK,aAAa,gBAAgBP,EAAEA,EAAE,OAAOL,CAAC,EAAEK,EAAE,KAAK,KAAK,OAAO,IAAIA,EAAE,KAAK,KAAK,OAAO,EAAEA,EAAEA,EAAE,OAAOL,CAAC,GAAGK,CAAC,CAAC,WAAW,CAAC,IAAIO,EAAE,CAAC,QAAQ,KAAK,QAAQ,kBAAkBmrD,GAAG,KAAK,iBAAiB,EAAE,kBAAkBgR,GAAG,KAAK,iBAAiB,EAAE,iBAAiBlO,GAAG,KAAK,gBAAgB,CAAC,EAAE7uD,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,OAAO,WAAWA,EAAE,CAAC,GAAG,EAAE,YAAYA,IAAI,OAAOA,EAAE,SAAS,UAAUA,EAAE,QAAQ,EAAE,MAAM,IAAI+kD,EAAE,0EAA0E,KAAK,UAAU/kD,EAAE,OAAO,GAAG,CAAC,CAAC,EAAEs9D,GAAG,cAAcD,EAAE,CAAC,YAAYr9D,EAAE,CAAC,MAAM,EAAEA,CAAC,EAAEs9D,GAAG,WAAWt9D,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAE,OAAO,OAAOA,EAAE,KAAKA,CAAC,CAAC,OAAO,WAAWA,EAAE,CAAC,GAAG,OAAOA,EAAE,YAAY,UAAU,CAACmmD,GAAGnmD,EAAE,WAAW,SAAS,EAAE,CAAC,EAAE,MAAM,IAAI+kD,EAAE,8FAA8F,KAAK,UAAU/kD,EAAE,UAAU,IAAI,CAAC,CAAC,EAAEs9D,GAAG,UAAU,SAAS5mC,GAAE,cAAc4mC,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAYr9D,EAAE,CAAC,MAAM,EAAEA,CAAC,EAAEu9D,GAAG,WAAWv9D,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAE,OAAO,OAAOA,EAAE,KAAKA,CAAC,CAAC,OAAO,WAAWA,EAAE,CAAC,GAAG,OAAOA,EAAE,YAAY,UAAU,EAAE,MAAM,QAAQA,EAAE,UAAU,IAAIA,EAAE,WAAW,SAAS,GAAGA,EAAE,WAAW,SAAS,IAAI,MAAM,IAAI+kD,EAAE,2FAA2F,KAAK,UAAU/kD,EAAE,UAAU,IAAI,CAAC,CAAC,EAAEu9D,GAAG,UAAU,SAAS7mC,GAAE,cAAc6mC,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAYt9D,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,UAAU,CAAC,IAAI+rD,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,KAAK,UAAU,QAAQ,KAAK,UAAU,QAAQ,MAAM,IAAIhH,EAAE,uGAAuG,KAAK,SAAS,CAAC,CAAC,MAAM/kD,EAAE,CAAC,GAAGA,EAAEwrD,GAAGxrD,CAAC,EAAEA,EAAE,SAAS,EAAE,MAAM,IAAI+kD,EAAE,mDAAmD,KAAK,UAAU/kD,CAAC,CAAC,EAAE,IAAIZ,EAAE,KAAK,aAAa,gBAAgB,EAAEY,EAAE,OAAO,EAAE,GAAGA,EAAEZ,IAAI,KAAK,MAAM,IAAI2lD,EAAE,sEAAsE,EAAE,IAAI,EAAE/kD,EAAEZ,GAAGK,EAAE,KAAK,WAAW,OAAO,CAAC,KAAK,QAAQ,CAAC,CAAC,EAAE,KAAK,OAAO,KAAK,UAAU,SAASA,EAAE,UAAU,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,KAAK,UAAU,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,OAAO,EAAE,UAAU,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,GAAG,KAAK,UAAU,CAAC,IAAIssD,GAAG,CAAC,KAAK,EAAE,KAAK,CAAC,CAAC3sD,GAAG,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,KAAKY,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,IAAI,EAAE64B,GAAGvrD,CAAC,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI+kD,EAAE,2FAA2F,EAAE,MAAM,QAAQ,EAAE,IAAItlD,EAAE,EAAE,MAAMwB,EAAExB,EAAE,GAAGyB,EAAEC,EAAE,KAAK,aAAa,iBAAiBD,EAAE,EAAEC,EAAE,IAAID,EAAE,EAAEC,EAAE,GAAG,IAAIC,EAAE3B,EAAEyB,GAAG,EAAEzB,EAAE0B,GAAGW,EAAE,KAAK,WAAW,GAAG,EAAE,KAAK,WAAW,GAAGE,EAAE,KAAK,QAAQ,GAAGC,EAAE,KAAK,QAAQ,GAAGC,EAAE46D,GAAG17D,EAAEY,EAAEF,EAAE,KAAK,OAAO,EAAEsB,EAAE05D,GAAG,EAAE76D,EAAE,EAAE,KAAK,OAAO,EAAEoB,EAAE,CAACpC,EAAEiB,EAAEkB,EAAE,KAAK,OAAO,EAAE,KAAK,aAAa,iBAAiB,EAAE0wB,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,IAAIrtB,EAAE83B,GAAG,EAAE,KAAK,OAAO,KAAK,EAAEl7B,EAAE,KAAK,QAAQ,KAAK,OAAO,EAAE,OAAO,KAAK,aAAa,iBAAiBoD,EAAEqtB,GAAGrtB,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,KAAK,MAAM,OAAOA,EAAE6iD,GAAG7iD,EAAE,KAAK,KAAK,KAAK,EAAE,KAAK,UAAU,GAAG,KAAK,YAAY,OAAOA,EAAE,KAAK,WAAW,MAAMA,CAAC,GAAGA,CAAC,CAAC,CAAC,CAAC,mBAAmBzG,EAAE,CAACA,EAAEwrD,GAAGxrD,CAAC,EAAE,IAAIZ,EAAEY,EAAE,MAAM,EAAE,EAAEP,EAAEwB,EAAE,KAAK,aAAa,iBAAiB,EAAE,EAAExB,EAAE,EAAEwB,EAAE,IAAI,EAAE,EAAExB,EAAE,EAAEwB,EAAE,GAAG,IAAIC,EAAE,KAAK,WAAW,GAAGC,EAAE,KAAK,WAAW,GAAGC,EAAE,KAAK,QAAQ,GAAG,EAAE,KAAK,QAAQ,GAAG,OAAOhC,EAAE,GAAG,KAAK,QAAQA,EAAEK,GAAGq9D,GAAG19D,EAAEK,GAAG2B,EAAEF,EAAE,KAAK,OAAO,EAAE9B,EAAE6B,GAAG67D,GAAG19D,EAAE6B,GAAG,EAAEE,EAAE,KAAK,OAAO,EAAE/B,CAAC,CAAC,WAAW,CAAC,IAAIY,EAAE,MAAM,UAAU,EAAE,OAAO,OAAOA,EAAE,aAAaA,CAAC,CAAC,EAAEw9D,GAAG,UAAU,kBAAkB9mC,GAAE,cAAc8mC,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAYv9D,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,UAAU,CAAC,IAAI+rD,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,KAAK,UAAU,QAAQ,KAAK,UAAU,QAAQ,MAAM,IAAIhH,EAAE,uGAAuG,KAAK,SAAS,CAAC,CAAC,MAAM/kD,EAAE,CAAC,GAAGA,EAAEwrD,GAAGxrD,CAAC,EAAEA,EAAE,SAAS,EAAE,MAAM,IAAI+kD,EAAE,mDAAmD,KAAK,UAAU/kD,CAAC,CAAC,EAAE,IAAIZ,EAAE,KAAK,aAAa,gBAAgB,EAAEY,EAAE,OAAO,EAAE,GAAGA,EAAEZ,IAAI,KAAK,MAAM,IAAI2lD,EAAE,sEAAsE,EAAE,IAAI,EAAE/kD,EAAEZ,GAAGK,EAAE,KAAK,WAAW,OAAO,CAAC,KAAK,QAAQ,CAAC,CAAC,EAAE,KAAK,OAAO,KAAK,UAAU,SAASA,EAAE,UAAU,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,KAAK,UAAU,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,OAAO,EAAE,UAAU,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,GAAG,KAAK,UAAU,CAAC,IAAIssD,GAAG,CAAC,KAAK,EAAE,KAAK,CAAC,CAAC3sD,GAAG,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,KAAKY,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,IAAI,EAAE64B,GAAGvrD,CAAC,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI+kD,EAAE,2FAA2F,EAAE,MAAM,QAAQ,EAAE,IAAItlD,EAAE,EAAE,MAAMwB,EAAExB,EAAE,GAAGyB,EAAEC,EAAEC,EAAE,KAAK,aAAa,iBAAiBA,EAAE,EAAEF,EAAE,EAAEC,EAAE,IAAIC,EAAE,EAAEF,EAAE,EAAEC,EAAE,GAAG,IAAI,EAAE1B,EAAE2B,GAAGU,EAAErC,EAAEyB,GAAG,EAAEzB,EAAE0B,GAAGa,EAAE,KAAK,WAAW,GAAGC,EAAE,KAAK,WAAW,GAAGC,EAAE,KAAK,WAAW,GAAGkB,EAAE,KAAK,QAAQ,GAAGC,EAAE,KAAK,QAAQ,GAAGoD,EAAE,KAAK,QAAQ,GAAG,EAAEq2D,GAAG,EAAE15D,EAAEpB,EAAE,KAAK,OAAO,EAAE6B,EAAEi5D,GAAGh7D,EAAEuB,EAAEpB,EAAE,KAAK,OAAO,EAAE6B,EAAEg5D,GAAG,EAAEr2D,EAAEvE,EAAE,KAAK,OAAO,EAAE6B,EAAE,CAAC9C,EAAE,EAAE4C,EAAEC,EAAE,KAAK,OAAO,EAAE,KAAK,aAAa,iBAAiB,EAAEgwB,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,IAAI9vB,EAAE66B,GAAG,EAAE,KAAK,OAAO,KAAK,EAAE96B,EAAE,KAAK,QAAQ,KAAK,OAAO,EAAE,OAAO,KAAK,aAAa,iBAAiBC,EAAE8vB,GAAG9vB,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,KAAK,OAAO,OAAOA,EAAEslD,GAAGtlD,EAAE,KAAK,KAAK,KAAK,EAAE,KAAK,UAAU,GAAG,KAAK,aAAa,OAAOA,EAAE,KAAK,WAAW,MAAMA,CAAC,GAAGA,CAAC,CAAC,CAAC,CAAC,mBAAmBhE,EAAE,CAACA,EAAEwrD,GAAGxrD,CAAC,EAAE,IAAIZ,EAAEY,EAAE,MAAM,EAAE,EAAEP,EAAEwB,EAAEC,EAAE,KAAK,aAAa,iBAAiB,EAAE,EAAEzB,EAAE,EAAEwB,EAAE,EAAEC,EAAE,IAAI,EAAE,EAAEzB,EAAE,EAAEwB,EAAE,EAAEC,EAAE,GAAG,IAAIC,EAAE,KAAK,WAAW,GAAGC,EAAE,KAAK,WAAW,GAAG,EAAE,KAAK,WAAW,GAAGU,EAAE,KAAK,QAAQ,GAAG,EAAE,KAAK,QAAQ,GAAGE,EAAE,KAAK,QAAQ,GAAG,OAAO5C,EAAE,GAAG,KAAK,QAAQA,EAAEK,GAAGq9D,GAAG19D,EAAEK,GAAGqC,EAAEX,EAAE,KAAK,OAAO,EAAE/B,EAAE6B,GAAG67D,GAAG19D,EAAE6B,GAAG,EAAEG,EAAE,KAAK,OAAO,EAAEhC,EAAE8B,GAAG47D,GAAG19D,EAAE8B,GAAGc,EAAE,EAAE,KAAK,OAAO,EAAE5C,CAAC,CAAC,WAAW,CAAC,IAAIY,EAAE,MAAM,UAAU,EAAE,OAAO,OAAOA,EAAE,aAAaA,CAAC,CAAC,EAAEy9D,GAAG,UAAU,kBAAkB/mC,GAAE,cAAc+mC,EAAE,EAAE,IAAIC,GAAG,cAAcL,EAAE,CAAC,YAAYr9D,EAAEZ,EAAE,CAAC,GAAG,MAAMY,EAAEZ,CAAC,EAAE,KAAK,8BAA8B,gBAAgB,KAAK,8BAA8B,gBAAgB,KAAK,gBAAgB,KAAK,KAAK,gBAAgB,KAAKA,EAAE,SAAS,KAAK,MAAM,IAAI2lD,EAAE,qFAAqF,EAAE,GAAG3lD,EAAE,mBAAmB,MAAMA,EAAE,mBAAmB,MAAMA,EAAE,kBAAkB,KAAK,MAAM,IAAI2lD,EAAE,oPAAoP,EAAE,GAAG3lD,EAAE,SAAS,MAAMA,EAAE,UAAU,QAAQA,EAAE,UAAU,QAAQ,MAAM,IAAI2lD,EAAE,gBAAgB,KAAK,uEAAuE,KAAK,UAAU3lD,EAAE,OAAO,GAAG,EAAE,KAAK,gBAAgBA,EAAE,iBAAiB,KAAK,EAAEA,EAAE,gBAAgB,KAAK,qBAAqBgsD,GAAGhsD,EAAE,sBAAsB,KAAK,6BAA6B,EAAE,KAAK,qBAAqBi9D,GAAGj9D,EAAE,oBAAoB,EAAE,KAAK,oBAAoB+uD,GAAG/uD,EAAE,mBAAmB,EAAE,KAAK,qBAAqBgsD,GAAGhsD,EAAE,sBAAsB,KAAK,6BAA6B,EAAE,KAAK,qBAAqBi9D,GAAGj9D,EAAE,oBAAoB,EAAE,KAAK,oBAAoB+uD,GAAG/uD,EAAE,mBAAmB,CAAC,CAAC,MAAMY,EAAE,CAAC,GAAGA,EAAEwrD,GAAGxrD,CAAC,EAAEA,EAAE,OAAO,KAAK,KAAK,EAAE,MAAM,IAAI+kD,EAAE,0BAA0B,KAAK,0BAA0B,KAAK,KAAK,gCAAgC,KAAK,UAAU/kD,CAAC,GAAG,EAAE,IAAIZ,EAAE,KAAK,aAAa,gBAAgB,EAAEY,EAAE,OAAO,EAAE,GAAGA,EAAEZ,IAAI,MAAMY,EAAEZ,GAAG,EAAE,MAAM,IAAI2lD,EAAE,oEAAoE,KAAK,UAAU/kD,EAAEZ,EAAE,GAAG,EAAE,IAAI,EAAEY,EAAEZ,GAAGK,EAAE,KAAK,WAAW,OAAO,CAAC,EAAE,KAAK,eAAe,CAAC,EAAEwB,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAE,KAAK,KAAK,EAAEA,EAAEF,EAAE,KAAK,CAAC,EAAEA,EAAE,KAAK,EAAE,KAAK,gBAAgB,KAAK,OAAO,EAAE,IAAIC,EAAE,GAAG,KAAK,gBAAgB,KAAK,UAAU,mBAAmBzB,EAAE,UAAU,KAAK,qBAAqB,KAAK,qBAAqByB,EAAE,KAAK,mBAAmB,EAAE,KAAK,gBAAgB,KAAK,UAAU,mBAAmBD,EAAE,UAAU,KAAK,qBAAqB,KAAK,qBAAqBC,EAAE,KAAK,mBAAmB,EAAE,KAAK,QAAQ,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,OAAO,EAAE,UAAU,KAAK,gBAAgB,KAAK,gBAAgBA,EAAE,KAAK,cAAc,EAAE,KAAK,KAAK,KAAK,KAAK,UAAU,CAAC,IAAI6qD,GAAG,CAAC,KAAK,KAAK,KAAK,EAAE,KAAK,CAAC,CAAC3sD,GAAG,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,KAAKY,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC1yB,EAAEurD,GAAGvrD,CAAC,EAAE,IAAI,EAAE,GAAG,KAAK,OAAO,EAAE,MAAM,IAAIglD,GAAG,kDAAkD,EAAE,OAAO,KAAK,OAAO,IAAI,KAAK,aAAa,kBAAkBhlD,EAAE8zB,GAAG9zB,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,EAAEysC,GAAGzsC,EAAE,KAAK,gBAAgB,KAAK,EAAE,KAAK,gBAAgB,KAAK,EAAE,KAAK,QAAQ,KAAK,QAAQ,KAAK,aAAa,MAAM,GAAG,KAAK,UAAU,EAAEspD,GAAG,EAAE,KAAK,KAAK,KAAK,EAAE,KAAK,UAAU,GAAG,KAAK,YAAY,OAAO,EAAE,KAAK,WAAW,MAAM,CAAC,GAAG,KAAK,aAAa,kBAAkB,EAAEx1B,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAI9zB,EAAE,MAAM,UAAU,EAAE,OAAO,OAAOA,EAAE,KAAK,OAAOA,EAAE,kBAAkB,OAAOA,EAAE,kBAAkB,OAAOA,EAAE,iBAAiBA,EAAE,qBAAqBmrD,GAAG,KAAK,oBAAoB,EAAEnrD,EAAE,qBAAqBmrD,GAAG,KAAK,oBAAoB,EAAEnrD,EAAE,qBAAqBm8D,GAAG,KAAK,oBAAoB,EAAEn8D,EAAE,qBAAqBm8D,GAAG,KAAK,oBAAoB,EAAEn8D,EAAE,oBAAoBiuD,GAAG,KAAK,mBAAmB,EAAEjuD,EAAE,oBAAoBiuD,GAAG,KAAK,mBAAmB,EAAEjuD,CAAC,CAAC,EAAE09D,GAAG,UAAU,gBAAgB,IAAIC,GAAG,cAAcD,EAAE,CAAC,YAAY19D,EAAE,CAAC,MAAM,EAAEA,CAAC,CAAC,CAAC,EAAE29D,GAAG,UAAU,kBAAkBjnC,GAAE,cAAcinC,EAAE,EAAE,IAAIC,GAAG,cAAcP,EAAE,CAAC,YAAYr9D,EAAE,CAAC,MAAM,EAAEA,CAAC,EAAE49D,GAAG,WAAW59D,CAAC,EAAE,KAAK,UAAU,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAE,OAAO,OAAOA,EAAE,KAAK,OAAOA,EAAE,WAAWA,CAAC,CAAC,OAAO,WAAWA,EAAE,CAAC,GAAG,OAAOA,EAAE,YAAY,UAAU,CAACmmD,GAAGnmD,EAAE,WAAW,SAAS,EAAE,CAAC,EAAE,MAAM,IAAI+kD,EAAE,yFAAyF,KAAK,UAAU/kD,EAAE,UAAU,IAAI,CAAC,CAAC,EAAE49D,GAAG,UAAU,SAASlnC,GAAE,cAAcknC,EAAE,EAAE,IAAIC,GAAG,cAAczR,EAAE,CAAC,YAAYpsD,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAOA,EAAE,UAAU,SAAS,KAAK,SAAS,CAAC,CAACA,EAAE,SAASA,EAAE,QAAQ,EAAE,CAACA,EAAE,SAASA,EAAE,QAAQ,CAAC,EAAE,OAAOA,EAAE,SAAS,IAAI,SAAS,KAAK,SAAS,CAAC,CAACA,EAAE,SAAS,GAAGA,EAAE,SAAS,EAAE,EAAE,CAACA,EAAE,SAAS,GAAGA,EAAE,SAAS,EAAE,CAAC,EAAE,KAAK,SAASA,EAAE,SAAS,KAAK,WAAWA,EAAE,aAAa,OAAO,eAAeA,EAAE,WAAW,KAAK,UAAU,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAAC,OAAO,KAAK,aAAa,gBAAgB,CAACA,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAG,KAAK,SAAS,GAAG,GAAG,KAAK,SAAS,GAAG,GAAGA,EAAE,GAAG,KAAK,SAAS,GAAG,GAAG,KAAK,SAAS,GAAG,EAAE,EAAE,CAACA,EAAE,GAAGA,EAAE,GAAG,KAAK,SAAS,GAAG,GAAG,KAAK,SAAS,GAAG,GAAGA,EAAE,GAAG,KAAK,SAAS,GAAG,GAAG,KAAK,SAAS,GAAG,GAAGA,EAAE,EAAE,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,GAAG1yB,EAAEurD,GAAGvrD,CAAC,EAAE,KAAK,aAAa,eAAe,CAAC,IAAI,EAAE8oD,GAAG9oD,EAAE,KAAK,SAAS,GAAG,GAAGA,EAAE,MAAM,GAAG,KAAK,SAAS,GAAG,GAAG,KAAK,SAAS,GAAG,GAAG,CAAC,EAAE,OAAO8oD,GAAG,EAAE,KAAK,SAAS,GAAG,GAAG9oD,EAAE,MAAM,GAAG,KAAK,SAAS,GAAG,GAAG,KAAK,SAAS,GAAG,GAAG,CAAC,CAAC,KAAK,CAAC,IAAI,EAAE8oD,GAAG9oD,EAAE,KAAK,SAAS,GAAG,GAAGA,EAAE,MAAM,GAAG,KAAK,SAAS,GAAG,GAAG,KAAK,SAAS,GAAG,GAAG,CAAC,EAAE,OAAO8oD,GAAG,EAAE,KAAK,SAAS,GAAG,GAAG9oD,EAAE,MAAM,GAAG,KAAK,SAAS,GAAG,GAAG,KAAK,SAAS,GAAG,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,SAAS,KAAK,SAAS,WAAW,KAAK,UAAU,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAE69D,GAAG,UAAU,aAAannC,GAAE,cAAcmnC,EAAE,EAAE,IAAIC,GAAG,cAAc1R,EAAE,CAAC,YAAYpsD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,aAAa,CAAC,EAAE,CAAC,EAAE,KAAK,UAAU,CAAC,CAAC,KAAK,CAAC,CAAC,EAAE,KAAK,KAAKA,EAAE,MAAM,KAAK,KAAK,aAAaA,EAAE,KAAK,KAAK,WAAWA,EAAE,YAAY,KAAK,eAAeA,EAAE,WAAWknD,GAAG,KAAK,UAAU,EAAE,KAAK,cAAclnD,EAAE,eAAe,KAAK,UAAUA,EAAE,cAAcmnD,GAAG,KAAK,aAAa,CAAC,CAAC,mBAAmBnnD,EAAE,CAAC,GAAG,KAAK,aAAa,gBAAgB,CAAC,IAAIZ,EAAEY,EAAE,IAAI,KAAK,KAAK,KAAK,KAAK,GAAGA,EAAE,GAAG,EAAEA,EAAE,IAAI,KAAK,KAAK,KAAK,KAAK,GAAGA,EAAE,GAAG,MAAM,CAACA,EAAE,GAAGA,EAAE,GAAGZ,EAAE,CAAC,CAAC,KAAK,CAAC,IAAIA,EAAEY,EAAE,IAAI,KAAK,KAAK,KAAK,KAAK,GAAGA,EAAE,GAAG,EAAEA,EAAE,IAAI,KAAK,KAAK,KAAK,KAAK,GAAGA,EAAE,GAAG,MAAM,CAACA,EAAE,GAAGZ,EAAE,EAAEY,EAAE,EAAE,CAAC,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,IAAI,EAAE64B,GAAGvrD,CAAC,EAAEP,EAAE,EAAE,MAAM,GAAG,KAAK,aAAa,gBAAgB,CAAC,EAAEq0B,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,EAAE,IAAI7yB,EAAE,KAAK,KAAK,GAAGxB,EAAE,GAAGyB,EAAE,KAAK,KAAK,GAAGzB,EAAE,GAAG0B,EAAE,KAAK,gBAAgB,UAAUm3C,GAAG,sBAAsB,EAAE,CAACr3C,EAAEC,CAAC,CAAC,EAAEo3C,GAAG,eAAe,EAAE,CAACr3C,EAAEC,CAAC,CAAC,EAAE,OAAO4yB,GAAG3yB,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,CAAC,KAAK,CAAC,IAAIF,EAAE,KAAK,KAAK,GAAGxB,EAAE,GAAGyB,EAAE,KAAK,KAAK,GAAGzB,EAAE,GAAG,OAAO,KAAK,gBAAgB,UAAU64C,GAAG,sBAAsB,EAAE,CAACr3C,EAAEC,CAAC,CAAC,EAAEo3C,GAAG,eAAe,EAAE,CAACr3C,EAAEC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIlB,EAAE,CAAC,KAAK,KAAK,KAAK,WAAW,KAAK,WAAW,cAAc,KAAK,aAAa,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAE89D,GAAG,UAAU,eAAepnC,GAAE,cAAconC,EAAE,EAAE,SAASC,GAAG7+D,EAAE,EAAEE,EAAE,CAAC,EAAE,CAAC,EAAEI,EAAE,QAAQC,EAAE,EAAE,CAAC,OAAOizB,EAAE,IAAI,CAACjzB,GAAG,OAAOA,EAAE4oD,GAAG,GAAGnB,GAAGznD,CAAC,EAAE,IAAI,EAAEs9D,GAAG79D,EAAEO,CAAC,EAAE,GAAGP,EAAE,OAAO,EAAE,MAAM,IAAI6lD,EAAE,mEAAmE7lD,EAAE,QAAQ,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI6lD,EAAE,yDAAyD,EAAE,QAAQ,EAAE,OAAO,EAAEplB,GAAG,EAAE,EAAEvgC,EAAEI,IAAI,OAAO,OAAO,QAAQ,OAAO,CAAC,EAAEC,IAAI,kBAAkB,EAAEq0B,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,IAAIkqC,GAAG,cAAcZ,EAAE,CAAC,YAAYp9D,EAAE,CAAC,MAAM,EAAEA,CAAC,EAAE,KAAK,gBAAgB,KAAK,KAAK,gBAAgBA,EAAE,iBAAiB,KAAK,EAAEA,EAAE,gBAAgB,KAAK,qBAAqBorD,GAAGprD,EAAE,sBAAsB,KAAK,0BAA0B,EAAE,KAAK,oBAAoBmuD,GAAGnuD,EAAE,mBAAmB,EAAE,KAAK,qBAAqBq8D,GAAGr8D,EAAE,oBAAoB,CAAC,CAAC,MAAMA,EAAE,CAAC,GAAGA,EAAEwrD,GAAGxrD,CAAC,EAAEA,EAAE,OAAO,EAAE,MAAM,IAAI+kD,EAAE,uEAAuE,KAAK,UAAU/kD,CAAC,IAAI,EAAE,IAAIZ,EAAE,KAAK,aAAa,gBAAgB,EAAE,EAAE,GAAGY,EAAEZ,IAAI,MAAMY,EAAEZ,GAAG,EAAE,MAAM,IAAI2lD,EAAE,yFAAyF/kD,EAAEZ,MAAM,EAAE,IAAI,EAAEY,EAAEZ,GAAGK,EAAE,CAAC,KAAK,WAAW,GAAG,KAAK,WAAW,GAAG,EAAE,KAAK,eAAe,EAAE,KAAK,gBAAgB,KAAK,UAAU,mBAAmBA,EAAE,KAAK,KAAK,qBAAqB,KAAK,qBAAqB,GAAG,KAAK,mBAAmB,EAAE,KAAK,QAAQ,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,EAAE,KAAK,eAAe,EAAE,KAAK,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,EAAE,KAAK,KAAK,KAAK,KAAK,MAAM,EAAE,CAAC,KAAKO,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC1yB,EAAEurD,GAAGvrD,CAAC,EAAE,IAAI,EAAE+9D,GAAG/9D,EAAE,KAAK,gBAAgB,KAAK,EAAE,KAAK,QAAQ,KAAK,QAAQ,KAAK,WAAW,IAAI,EAAE,OAAO,KAAK,UAAU,EAAEspD,GAAG,EAAE,KAAK,KAAK,KAAK,EAAE,KAAK,UAAU,GAAG,KAAK,YAAY,OAAO,EAAE,KAAK,WAAW,MAAM,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,mBAAmBtpD,EAAE,CAACA,EAAEwrD,GAAGxrD,CAAC,EAAE,IAAIZ,EAAE,KAAK,aAAa,gBAAgBY,EAAE,GAAGA,EAAE,GAAG,EAAE,KAAK,aAAa,gBAAgBA,EAAE,GAAGA,EAAE,GAAGP,EAAE,KAAK,aAAa,gBAAgBO,EAAE,GAAG,KAAK,gBAAgBA,EAAE,GAAG,KAAK,gBAAgBiB,EAAE47D,GAAGz9D,EAAE,KAAK,WAAW,GAAG,KAAK,QAAQ,KAAK,QAAQ,EAAE,EAAE8B,EAAE27D,GAAG,EAAE,KAAK,WAAW,GAAG,KAAK,QAAQ,KAAK,QAAQ,EAAE,EAAE,OAAO,KAAK,aAAa,gBAAgB,CAAC78D,EAAE,GAAGP,EAAEwB,EAAEC,CAAC,EAAE,CAAClB,EAAE,GAAGiB,EAAEC,EAAEzB,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIO,EAAE,MAAM,UAAU,EAAE,OAAOA,EAAE,gBAAgB,KAAK,gBAAgBA,EAAE,qBAAqBmrD,GAAG,KAAK,oBAAoB,EAAEnrD,EAAE,qBAAqBm8D,GAAG,KAAK,oBAAoB,EAAEn8D,EAAE,oBAAoBiuD,GAAG,KAAK,oBAAoB,EAAEjuD,CAAC,CAAC,EAAEg+D,GAAG,UAAU,kBAAkBtnC,GAAE,cAAcsnC,EAAE,EAAE,SAASC,GAAG/+D,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAG,MAAM,QAAQN,CAAC,EAAE,CAAC,GAAG,GAAG,MAAME,GAAG,KAAK,MAAM,IAAI2lD,EAAE,+EAA+E,EAAEvlD,GAAG,OAAOJ,EAAEF,EAAE,MAAMA,EAAE,OAAOM,EAAEN,EAAE,MAAM,EAAEA,EAAEA,EAAE,MAAM,EAAEA,EAAE,OAAOM,CAAC,GAAGN,EAAE,OAAO,IAAI,EAAEA,EAAE,MAAM,EAAEA,EAAE,MAAM,GAAGA,EAAEA,EAAE,EAAE,CAAC,SAASO,EAAE,EAAE,CAAC,OAAO,GAAG,MAAM,MAAM,QAAQ,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,OAAO,EAAEA,EAAE,CAAC,EAAEL,EAAEK,EAAEL,CAAC,EAAE,CAAC,OAAOF,EAAE,aAAa,EAAE,UAAUE,CAAC,CAAC,CAAC,SAAS8+D,GAAGh/D,EAAE,EAAEE,EAAEI,EAAE,GAAGC,EAAE,EAAE,EAAE,GAAG0B,EAAE,GAAG,CAAC,OAAOuxB,EAAE,IAAI,CAAC,IAAItxB,EAAE,EAAE,MAAM,OAAO,GAAGA,EAAE,EAAE,MAAM,IAAI2jD,EAAE,uCAAuC3jD,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAE,CAAC,EAAE,OAAO6mD,GAAG,EAAE9mD,CAAC,CAAC,EAAE,GAAG,EAAE0yB,GAAG,EAAEzyB,CAAC,EAAE,GAAG,KAAK,MAAM,IAAI2jD,GAAG,gFAAgF,EAAE,GAAG,QAAQ,KAAK,mGAAmG,EAAEvlD,GAAG,OAAOA,EAAEiwB,GAAEA,GAAEjwB,EAAE,MAAM,EAAE,SAAS,EAAEA,EAAE,OAAO2B,EAAE,IAAI3B,EAAEojC,GAAGpjC,EAAE,EAAE,GAAGA,EAAEq0B,GAAGr0B,EAAE4B,CAAC,GAAG7B,IAAI,EAAEisC,GAAG,EAAE,CAAC,EAAEhsC,GAAG,OAAOA,EAAEgsC,GAAGhsC,EAAE,CAAC,IAAI,IAAIqC,EAAE,CAAC,EAAEC,EAAEC,EAAE5C,EAAE6C,EAAE,EAAE,MAAM,GAAGC,EAAE8tC,GAAG,CAAC,EAAE5sC,EAAE3D,GAAG,OAAO2D,EAAE4sC,GAAGvwC,CAAC,GAAG,QAAQgH,EAAE,EAAEA,EAAExE,EAAE,EAAEwE,EAAE,CAAC,IAAIxC,EAAE/B,EAAEuE,GAAG5C,EAAE6uB,EAAE,IAAIxzB,EAAE+E,EAAEjC,CAAC,CAAC,EAAE,GAAGvC,GAAG,KAAKsC,EAAE8B,EAAE,GAAG7B,EAAE6B,EAAE,OAAO,CAAC,IAAIC,EAAE4uB,EAAE,IAAI,CAAC,IAAI3uB,EAAEX,EAAEqD,GAAGzC,EAAE2hC,GAAG6C,GAAGzkC,CAAC,EAAEA,CAAC,EAAE2C,EAAEqxB,EAAEM,EAAEx0B,EAAE,GAAGE,CAAC,EAAEs0B,EAAEr2B,EAAE,GAAGgC,CAAC,CAAC,EAAEE,EAAElC,EAAE,IAAI,CAAC2E,EAAExC,IAAI4zB,EAAEM,EAAEx0B,EAAE,GAAGM,GAAGJ,CAAC,EAAEs0B,EAAE1xB,EAAE3C,CAAC,CAAC,CAAC,EAAE,MAAM,CAAC,OAAO0C,EAAE,UAAUxC,CAAC,CAAC,CAAC,EAAEnC,EAAE+B,EAAE,OAAO9B,EAAE8B,EAAE,SAAS,CAAC3C,GAAGW,EAAE,KAAKC,CAAC,CAAC,CAAC,IAAI,EAAE,OAAOZ,IAAI,EAAEwtC,GAAG7sC,EAAE,CAAC,GAAG,CAACC,EAAE,EAAEC,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIqtD,GAAG,cAAcjD,EAAE,CAAC,YAAYpsD,EAAE,CAAC,MAAMA,CAAC,EAAE,IAAIZ,EAAE,GAAGY,EAAE,MAAM,KAAK,MAAM,IAAI+kD,EAAE,sDAAsD,EAAE,GAAG,MAAM,QAAQ/kD,EAAE,IAAI,EAAEZ,EAAE,IAAI++D,GAAG,CAAC,MAAMn+D,EAAE,IAAI,CAAC,EAAEZ,EAAEY,EAAE,KAAKZ,EAAE,WAAW,KAAK,MAAM,IAAI2lD,EAAE,mGAAmG,EAAE,KAAK,KAAK3lD,EAAE,KAAK,gBAAgBY,EAAE,iBAAiB,KAAK,GAAGA,EAAE,gBAAgB,KAAK,YAAYA,EAAE,aAAa,KAAK,GAAGA,EAAE,YAAY,KAAK,YAAYA,EAAE,aAAa,KAAK,GAAGA,EAAE,YAAY,KAAK,UAAUA,EAAE,UAAU,KAAK,GAAGA,EAAE,SAAS,KAAK,OAAOA,EAAE,QAAQ,KAAK,GAAGA,EAAE,OAAO,KAAK,gBAAgB,GAAG,KAAK,UAAU,CAAC,IAAI+rD,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,KAAK,UAAU,KAAK,KAAK,QAAQ,KAAK,KAAK,aAAa,KAAK,KAAK,WAAW,CAAC,CAAC,CAAC,WAAW,CAAC,GAAG,KAAK,SAAS,KAAK,CAAC,IAAI/rD,EAAE,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,KAAK,UAAU,OAAO,EAAE,OAAOkoD,GAAG,EAAEloD,CAAC,EAAE,IAAIZ,GAAG,IAAI,CAAC,KAAM,QAAO,KAAK,OAAO,CAAC,UAAUY,EAAE,CAAC,KAAK,QAAQA,CAAC,CAAC,mBAAmBA,EAAE,CAACqrD,GAAGrrD,CAAC,IAAIA,EAAEA,EAAE,IAAIA,EAAEA,EAAE,IAAIZ,EAAE,KAAK,KAAK,UAAU,MAAM,QAAQA,CAAC,IAAIA,EAAE,CAACA,CAAC,GAAG,IAAI,EAAEA,EAAE,GAAGK,EAAE,GAAG,KAAK,gBAAgBA,EAAE,CAACO,EAAE,GAAGA,EAAE,GAAG,CAAC,EAAEP,EAAE,CAACO,EAAE,GAAG,CAAC,EAAE,KAAK,YAAY,CAAC,IAAIiB,EAAE,CAAC,EAAE,QAAQC,KAAK9B,EAAE6B,EAAE,KAAK,CAACjB,EAAE,GAAGkB,CAAC,CAAC,EAAE,MAAM,CAACzB,CAAC,EAAE,OAAOwB,CAAC,CAAC,KAAM,QAAOxB,CAAC,CAAC,YAAYO,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,MAAM,QAAQtzB,CAAC,IAAIA,EAAEA,EAAE,IAAI,IAAI,EAAE,KAAK,gBAAgBA,EAAE,KAAK,GAAG,KAAK,YAAY,CAAC,IAAIK,EAAE,KAAK,OAAO,IAAIwB,GAAG,IAAI,EAAE,MAAM,CAAC,CAAC,EAAE,OAAOxB,CAAC,CAAC,KAAM,QAAO,CAAC,CAAC,CAAC,CAAC,IAAI,QAAQ,CAAC,GAAG,KAAK,SAAS,KAAK,CAAC,IAAIO,EAAE,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,KAAK,UAAU,OAAO,EAAEZ,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEY,EAAE,EAAE,EAAEZ,EAAE,KAAK,IAAI,EAAE,OAAOA,CAAC,KAAM,QAAO,KAAK,OAAO,CAAC,IAAI,OAAOY,EAAE,CAAC,KAAK,QAAQA,CAAC,CAAC,MAAMA,EAAE,CAAC,GAAG,KAAK,cAAc,KAAK,MAAM,IAAIglD,GAAG,kDAAkD,EAAEqG,GAAGrrD,CAAC,IAAIA,EAAEA,EAAE,IAAIA,EAAEA,EAAE,IAAIR,EAAE,KAAK,SAASQ,EAAE,GAAG,KAAKP,EAAEO,EAAE,MAAM,CAAC,EAAE,KAAK,UAAU,GAAG,IAAI+rD,GAAG,CAAC,MAAM,CAACvsD,EAAE,KAAK,GAAGC,CAAC,CAAC,CAAC,EAAE,IAAIwB,EAAE,CAACjB,EAAE,EAAE,EAAE,OAAOA,EAAE,MAAM,CAAC,CAAC,EAAE,KAAK,KAAK,MAAMiB,CAAC,EAAE,IAAIC,EAAE,GAAG,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAEA,EAAE,KAAK,KAAK,UAAUA,EAAE,CAAC,KAAK,KAAK,SAAS,EAAE,KAAK,WAAW,MAAM,GAAG,CAAC6kB,EAAE,YAAY,KAAK,UAAU,IAAI5kB,GAAGA,EAAE,MAAMA,EAAE,MAAM,OAAO,EAAE,EAAED,CAAC,EAAE,MAAM,IAAI6jD,EAAE,6FAA6F,KAAK,wCAAwC,KAAK,KAAK,WAAW,OAAO,KAAK,UAAU7jD,EAAE,IAAIC,GAAG,IAAI4qD,GAAG,CAAC,MAAM,CAAC,KAAK5qD,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,UAAU,KAAK,YAAY,CAAC,CAAC,YAAYnB,EAAEZ,EAAE,GAAG,CAACszB,EAAE,IAAI,CAAC,GAAG,CAAC,KAAK,SAAS,MAAM,IAAImyB,GAAG,iEAAiE,EAAE,IAAI,EAAE,KAAK,UAAU,GAAG,MAAM,GAAG,GAAG,GAAG,KAAK,MAAM,IAAIE,EAAE,uUAAuU,EAAE,GAAG,KAAK,SAAS,KAAK,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,QAAQ,KAAK,KAAK,UAAU,IAAItlD,GAAG6nC,GAAG,CAAC,EAAE7nC,CAAC,CAAC,CAAC,EAAE,KAAK,QAAQ,CAAC6nC,GAAG,CAAC,EAAE,KAAK,KAAK,SAAS,CAAC,CAAC,UAAUtnC,GAAG,KAAK2yB,GAAG,KAAK,OAAO,EAAE,KAAK,YAAY,OAAOA,GAAG,KAAK,UAAU,EAAE,KAAK,WAAW,CAAC,GAAG,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,QAAQ,KAAK,KAAK,UAAU,IAAIlzB,GAAG6nC,GAAG,CAAC,EAAE7nC,CAAC,CAAC,CAAC,EAAE,KAAK,QAAQ,GAAG6nC,GAAG,CAAC,EAAE,KAAK,KAAK,SAAS,CAAC,MAAM,CAAC,GAAG,MAAM,QAAQtnC,CAAC,IAAIA,EAAE,CAACA,CAAC,GAAGA,EAAE,SAAS,KAAK,QAAQ,OAAO,MAAM,IAAI+kD,EAAE,SAAS,KAAK,gBAAgB,KAAK,QAAQ,oCAAoC/kD,EAAE,0CAA0CA,GAAG,EAAEZ,IAAI,GAAG,KAAK,WAAW,KAAK,KAAK,QAAQ,MAAM,CAAC,EAAEuzB,GAAG,KAAK,OAAO,EAAE,QAAQlzB,EAAE,EAAEA,EAAE,KAAK,QAAQ,OAAO,EAAEA,EAAE,CAAC,IAAIwB,EAAEjB,EAAEP,GAAGyB,EAAE,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,KAAK,UAAUzB,GAAG,KAAK,KAAK,UAAU0B,EAAE,CAAC,EAAED,CAAC,EAAE,GAAG,CAAC6kB,EAAE,YAAY9kB,EAAE,MAAME,CAAC,EAAE,MAAM,IAAI4jD,EAAE,SAAStlD,gCAAgC,KAAK,wBAAwB0B,qBAAqBF,EAAE,OAAO,EAAE,KAAK,QAAQxB,GAAGwB,CAAC,CAAC,CAAC,KAAK,QAAQ,KAAK,QAAQ,IAAIxB,GAAGmzB,GAAGnzB,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,MAAMO,EAAEZ,EAAE,CAAC,IAAI,EAAEA,GAAG,KAAK,KAAKA,EAAE,aAAaK,EAAEL,GAAG,KAAK,KAAKA,EAAE,UAAUA,GAAG,OAAOA,EAAE,CAAC,GAAG,IAAI6B,EAAEg9D,GAAGj+D,EAAE,EAAEP,EAAE,KAAK,YAAY,EAAEO,EAAEiB,EAAE,OAAO,EAAEA,EAAE,aAAaxB,EAAEwB,EAAE,UAAU,IAAIC,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,GAAG,GAAG,KAAK,CAAC/B,EAAE,aAAa,EAAE8B,EAAEA,EAAE,OAAO,CAAC,EAAE,KAAK,UAAU,CAAC,EAAE,QAAQG,KAAK,EAAE,KAAK,UAAU,KAAK,IAAI0qD,GAAG,CAAC,MAAM1qD,EAAE,KAAK,CAAC,CAAC,EAAEF,EAAEA,EAAE,OAAO,KAAK,SAAS,CAAC,CAAC,GAAG1B,GAAG,OAAOL,EAAE,UAAUK,EAAEyB,EAAEA,EAAE,OAAOzB,CAAC,EAAE,KAAK,aAAaA,EAAE,QAAQyB,EAAE,aAAa8qD,GAAG,CAAC,IAAI3qD,EAAE,CAACrB,CAAC,EAAE,OAAOkB,CAAC,EAAEY,EAAE,KAAK,UAAU,OAAOX,CAAC,EAAEY,EAAE,KAAK,UAAU,KAAK,UAAUD,EAAE,IAAIE,EAAE,MAAM,MAAMX,EAAEjC,CAAC,EAAE,OAAO,KAAK,UAAU2C,EAAEC,CAAC,KAAM,QAAO,MAAM,MAAMhC,EAAEZ,CAAC,CAAC,CAAC,KAAKY,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,IAAI,EAAEtzB,GAAG,KAAK,KAAKA,EAAE,KAAKK,EAAEL,GAAG,KAAK,KAAKA,EAAE,SAAS6B,EAAE7B,GAAG,KAAK,KAAKA,EAAE,aAAaY,EAAEurD,GAAGvrD,CAAC,EAAEiB,GAAG,OAAO,KAAK,SAASA,EAAE,KAAK,QAAQA,EAAE,KAAK,gBAAgBjB,CAAC,GAAG,IAAIkB,EAAE,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,KAAK,UAAU,OAAO,EAAE,GAAGD,EAAE,SAASC,EAAE,MAAM,IAAI6jD,EAAE,iBAAiB7jD,6BAA6BD,EAAE,0BAA0B,EAAE,KAAK,QAAQ,QAAQ,KAAK,kEAAkE,EAAE,IAAIE,EAAE,CAAC,SAAS1B,CAAC,EAAE4B,EAAE68D,GAAG,CAACh8D,EAAE,IAAI,CAAC,IAAImB,EAAE,KAAK,KAAK,KAAK,CAACnB,CAAC,EAAE,OAAO,CAAC,EAAEf,CAAC,EAAE,MAAM,CAACkC,EAAE,GAAGA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAErD,EAAEiB,EAAE,KAAK,YAAY,EAAE,KAAK,KAAK,OAAO,KAAK,eAAe,EAAEa,EAAET,EAAE,GAAGU,EAAEV,EAAE,GAAGW,EAAEX,EAAE,GAAG,KAAK,UAAU,KAAK,YAAYW,EAAEvC,CAAC,EAAE,IAAIwC,EAAE,KAAK,gBAAgBF,EAAED,EAAE,OAAO,KAAK,YAAY,CAACG,CAAC,EAAE,OAAOD,CAAC,EAAEC,CAAC,CAAC,CAAC,CAAC,gBAAgBjC,EAAE,CAAC,OAAO0yB,EAAE,IAAI,CAAC,IAAItzB,EAAEkoC,GAAGtnC,EAAE,KAAK,EAAE,OAAOZ,EAAEgjC,GAAGhjC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEA,EAAEmpD,GAAGnpD,CAAC,EAAE,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,KAAK,UAAU,IAAI,GAAG,EAAE,EAAEqpD,GAAGrpD,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEA,CAAC,EAAE,KAAK,KAAK,UAAU,EAAE,CAACqpD,GAAGrpD,EAAE,CAAC,EAAE,KAAK,KAAK,SAAS,CAAC,CAAC,EAAE,CAACA,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI,kBAAkB,CAAC,OAAO,KAAK,UAAU,KAAK,KAAK,iBAAiB,CAAC,CAAC,CAAC,IAAI,qBAAqB,CAAC,OAAO,KAAK,UAAU,KAAK,KAAK,oBAAoB,KAAK,KAAK,OAAO,CAAC,6BAA6BY,EAAE,CAAC,MAAM,6BAA6BA,CAAC,EAAE,KAAK,MAAM,MAAM,KAAK,KAAK,6BAA6BA,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAEZ,EAAE,CAAC,gBAAgB,KAAK,gBAAgB,YAAY,KAAK,YAAY,YAAY,KAAK,YAAY,SAAS,KAAK,SAAS,OAAO,KAAK,MAAM,EAAE,KAAK,cAAc,OAAOA,EAAE,aAAa,KAAK,cAAc,IAAI,EAAE,KAAK,KAAK,UAAU,EAAE,OAAO,KAAK,aAAa,IAAIiwD,GAAG,YAAYjwD,EAAE,KAAK,CAAC,UAAU,KAAK,KAAK,aAAa,EAAE,OAAO,CAAC,GAAG,OAAO,OAAO,CAAC,EAAE,EAAEY,EAAEZ,CAAC,CAAC,CAAC,OAAO,WAAWY,EAAEZ,EAAE,EAAE,CAAC,EAAE,CAAC,IAAIK,EAAEL,EAAE,KAAK6B,EAAE2zD,GAAGn1D,EAAE,CAAC,EAAE,OAAO,IAAIO,EAAE,OAAO,OAAOZ,EAAE,CAAC,KAAK6B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEouD,GAAG,UAAU,MAAM34B,GAAE,cAAc24B,EAAE,EAAE,IAAIC,GAAG,cAAclD,EAAE,CAAC,EAAEgS,GAAG,cAAc9O,EAAE,CAAC,YAAYtvD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,mBAAmB,OAAO,KAAK,2BAA2B,eAAe,KAAK,8BAA8B,aAAa,KAAK,yBAAyB,QAAQ,KAAK,MAAMA,EAAE,MAAMomD,GAAG,KAAK,MAAM,OAAO,EAAE,KAAK,WAAWwV,GAAG57D,EAAE,YAAY,KAAK,KAAK,mBAAmBA,EAAE,UAAU,EAAE,KAAK,QAAQA,EAAE,SAAS,KAAK,GAAGA,EAAE,QAAQ,KAAK,kBAAkBorD,GAAGprD,EAAE,mBAAmB,KAAK,0BAA0B,EAAE,KAAK,qBAAqBorD,GAAGprD,EAAE,sBAAsB,KAAK,6BAA6B,EAAE,KAAK,gBAAgBorD,GAAGprD,EAAE,iBAAiB,KAAK,wBAAwB,EAAE,KAAK,kBAAkBq8D,GAAGr8D,EAAE,iBAAiB,EAAE,KAAK,qBAAqBq8D,GAAGr8D,EAAE,oBAAoB,EAAE,KAAK,gBAAgBq8D,GAAGr8D,EAAE,eAAe,EAAE,KAAK,iBAAiBmuD,GAAGnuD,EAAE,gBAAgB,EAAE,KAAK,oBAAoBmuD,GAAGnuD,EAAE,mBAAmB,EAAE,KAAK,eAAemuD,GAAGnuD,EAAE,cAAc,EAAE,KAAK,QAAQgoD,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAEjoD,EAAE,SAAS,KAAK,EAAEA,EAAE,OAAO,CAAC,CAAC,CAAC,EAAE,KAAK,iBAAiBgoD,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAEjoD,EAAE,kBAAkB,KAAK,EAAEA,EAAE,gBAAgB,CAAC,CAAC,CAAC,EAAE,KAAK,YAAYA,EAAE,YAAY,KAAK,UAAU,KAAK,MAAM,KAAK,YAAY,KAAK,KAAK,qBAAqB,IAAI,CAAC,MAAMA,EAAE,CAACA,EAAEwrD,GAAGxrD,CAAC,EAAE,KAAK,OAAO,KAAK,UAAU,SAAS,CAACA,EAAEA,EAAE,OAAO,GAAG,KAAK,KAAK,EAAE,KAAK,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,KAAK,gBAAgB,KAAK,UAAU,mBAAmB,CAAC,KAAK,MAAM,KAAK,KAAK,EAAE,KAAK,KAAK,qBAAqB,KAAK,qBAAqB,GAAG,KAAK,mBAAmB,EAAE,KAAK,QAAQ,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,KAAK,EAAE,KAAK,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,EAAE,KAAK,KAAK,KAAK,KAAK,MAAM,EAAE,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,GAAG1yB,EAAEA,EAAEA,EAAE,SAAS,EAAE,MAAM,IAAI+kD,EAAE,8CAA8C/kD,EAAE,SAAS,EAAE,IAAI,EAAEA,EAAE,GAAGA,EAAEA,EAAE,GAAG,IAAIP,EAAEL,EAAE,UAAU,KAAK,GAAGA,EAAE,SAAS,EAAE,KAAK,SAAS,KAAK,QAAQ,GAAG,KAAK,aAAa,OAAO,KAAK,YAAYi/D,GAAG,CAAC,KAAK,IAAI71B,GAAGxoC,CAAC,EAAE,KAAK,KAAK,QAAQ,SAASP,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,EAAE,KAAK,kBAAkB,KAAK,iBAAiB,GAAG,KAAK,sBAAsB,OAAO,KAAK,qBAAqB4+D,GAAG,CAAC,KAAK,IAAI71B,GAAG,CAAC,EAAE,KAAK,KAAK,iBAAiB,SAAS/oC,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,IAAIwB,EAAEC,EAAE,KAAK,YAAYC,EAAE,KAAK,qBAAqBD,GAAG,KAAKD,EAAEioD,GAAG7wB,EAAEr4B,EAAEkB,CAAC,EAAE,KAAK,OAAO,KAAK,CAAC,EAAED,EAAEioD,GAAGlpD,EAAE,KAAK,OAAO,KAAK,CAAC,EAAE,KAAK,MAAM,OAAOiB,EAAEqoD,GAAGroD,EAAE,KAAK,KAAK,KAAK,CAAC,GAAGE,GAAG,OAAO,EAAEk3B,EAAE,EAAEl3B,CAAC,GAAG,IAAIC,EAAE22B,EAAE92B,EAAEioD,GAAG,EAAE,KAAK,gBAAgB,KAAK,CAAC,CAAC,EAAE,OAAO,KAAK,YAAY,OAAO9nD,EAAE,KAAK,WAAW,MAAMA,CAAC,GAAG,CAACA,EAAEA,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIpB,EAAE,MAAM,UAAU,EAAEZ,EAAE,CAAC,MAAM,KAAK,MAAM,WAAWs8D,GAAG,KAAK,UAAU,EAAE,QAAQ,KAAK,QAAQ,kBAAkBvQ,GAAG,KAAK,iBAAiB,EAAE,qBAAqBA,GAAG,KAAK,oBAAoB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,kBAAkBgR,GAAG,KAAK,iBAAiB,EAAE,qBAAqBA,GAAG,KAAK,oBAAoB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,iBAAiBlO,GAAG,KAAK,gBAAgB,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,eAAeA,GAAG,KAAK,cAAc,EAAE,QAAQ,KAAK,QAAQ,iBAAiB,KAAK,gBAAgB,EAAE,OAAO,OAAO,OAAO,CAAC,EAAEjuD,EAAEZ,CAAC,CAAC,CAAC,EAAEg/D,GAAG,UAAU,gBAAgB1nC,GAAE,cAAc0nC,EAAE,EAAE,IAAIE,GAAG,cAAcjP,EAAE,CAAC,YAAYrvD,EAAE,CAACA,EAAE,KAAK,IAAIo+D,GAAGp+D,CAAC,EAAE,MAAMA,CAAC,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,KAAK,KAAK,aAAa,OAAOC,GAAG,KAAK,KAAK,WAAW,EAAE,KAAK,KAAK,YAAY,MAAM,KAAK,KAAK,sBAAsB,OAAOA,GAAG,KAAK,KAAK,oBAAoB,EAAE,KAAK,KAAK,qBAAqB,MAAM,IAAI,EAAEvzB,GAAG,KAAK,KAAKA,EAAE,KAAKK,EAAEL,GAAG,KAAK,KAAKA,EAAE,SAAS6B,EAAE7B,GAAG,KAAK,KAAKA,EAAE,aAAa,OAAO,MAAM,KAAKY,EAAE,CAAC,KAAK,EAAE,SAASP,EAAE,aAAawB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO,WAAWjB,EAAEZ,EAAE,CAAC,OAAO,IAAIY,EAAEZ,CAAC,CAAC,CAAC,EAAEk/D,GAAG,UAAU,YAAY5nC,GAAE,cAAc4nC,EAAE,EAAE,IAAIC,GAAG,cAAcjP,EAAE,CAAC,YAAYtvD,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,mBAAmB,OAAO,KAAK,6BAA6B,cAAc,KAAK,2BAA2B,eAAe,KAAK,8BAA8B,aAAa,KAAK,yBAAyB,QAAQA,EAAE,WAAW,MAAM,IAAI+kD,EAAE,6DAA6D,EAAE,KAAK,MAAM/kD,EAAE,MAAMomD,GAAG,KAAK,MAAM,OAAO,EAAE,KAAK,WAAWwV,GAAG57D,EAAE,aAAa,OAAO,KAAK,mBAAmBA,EAAE,UAAU,EAAE,KAAK,oBAAoB47D,GAAG57D,EAAE,sBAAsB,OAAO,KAAK,6BAA6BA,EAAE,mBAAmB,EAAE,KAAK,QAAQA,EAAE,SAAS,KAAK,GAAGA,EAAE,QAAQ,KAAK,kBAAkBorD,GAAGprD,EAAE,mBAAmB,KAAK,0BAA0B,EAAE,KAAK,qBAAqBorD,GAAGprD,EAAE,sBAAsB,KAAK,6BAA6B,EAAE,KAAK,gBAAgBorD,GAAGprD,EAAE,iBAAiB,KAAK,wBAAwB,EAAE,KAAK,kBAAkBq8D,GAAGr8D,EAAE,iBAAiB,EAAE,KAAK,qBAAqBq8D,GAAGr8D,EAAE,oBAAoB,EAAE,KAAK,gBAAgBq8D,GAAGr8D,EAAE,eAAe,EAAE,KAAK,iBAAiBmuD,GAAGnuD,EAAE,gBAAgB,EAAE,KAAK,oBAAoBmuD,GAAGnuD,EAAE,mBAAmB,EAAE,KAAK,eAAemuD,GAAGnuD,EAAE,cAAc,EAAE,KAAK,QAAQgoD,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAEjoD,EAAE,SAAS,KAAK,EAAEA,EAAE,OAAO,CAAC,CAAC,CAAC,EAAE,KAAK,iBAAiBgoD,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAEjoD,EAAE,kBAAkB,KAAK,EAAEA,EAAE,gBAAgB,CAAC,CAAC,CAAC,EAAE,KAAK,YAAYA,EAAE,YAAY,KAAK,eAAeA,EAAE,eAAe,KAAK,UAAU,KAAK,MAAM,KAAK,YAAY,KAAK,KAAK,qBAAqB,IAAI,CAAC,MAAMA,EAAE,CAACA,EAAEwrD,GAAGxrD,CAAC,EAAE,IAAIZ,EAAEY,EAAEA,EAAE,OAAO,GAAG,KAAK,OAAO,KAAK,UAAU,SAAS,CAACZ,EAAE,KAAK,MAAM,CAAC,EAAE,KAAK,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,KAAK,gBAAgB,KAAK,UAAU,mBAAmB,CAAC,KAAK,MAAM,KAAK,MAAM,CAAC,EAAE,KAAK,KAAK,qBAAqB,KAAK,qBAAqB,GAAG,KAAK,mBAAmB,EAAE,KAAK,QAAQ,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,MAAM,CAAC,EAAE,KAAK,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,EAAE,KAAK,KAAK,KAAK,KAAK,MAAM,EAAE,CAAC,KAAKY,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,GAAG1yB,EAAEA,EAAEA,EAAE,SAAS,EAAE,MAAM,IAAI+kD,EAAE,uDAAuD/kD,EAAE,SAAS,EAAE,IAAI,EAAEZ,EAAE,UAAU,KAAK,GAAGA,EAAE,SAASK,EAAEO,EAAE,GAAGA,EAAEA,EAAE,GAAG,EAAE,KAAK,SAAS,KAAK,QAAQ,GAAG,KAAK,aAAa,OAAO,KAAK,YAAYq+D,GAAG,CAAC,KAAK,IAAI71B,GAAGxoC,CAAC,EAAE,KAAK,KAAK,QAAQ,SAAS,EAAE,MAAM,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,EAAE,KAAK,kBAAkB,KAAK,iBAAiB,GAAG,KAAK,sBAAsB,OAAO,KAAK,qBAAqBq+D,GAAG,CAAC,KAAK,IAAI71B,GAAG/oC,CAAC,EAAE,KAAK,KAAK,iBAAiB,SAAS,EAAE,MAAM,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,IAAIwB,EAAE,KAAK,YAAYC,EAAE,KAAK,qBAAqBC,EAAEC,EAAE,EAAE,EAAE,KAAK,SAAS,KAAK,QAAQ,IAAIpB,EAAEq4B,EAAEr4B,EAAEiB,EAAE,EAAE,GAAG,IAAIa,EAAEonD,GAAGlpD,EAAE,KAAK,OAAO,KAAK,CAAC,EAAE,KAAK,UAAU8B,EAAEwnD,GAAGxnD,EAAE,KAAK,KAAK,KAAK,CAAC,GAAG,EAAE,KAAK,kBAAkB,KAAK,iBAAiB,IAAIrC,EAAE44B,EAAE54B,EAAEyB,EAAE,EAAE,GAAG,IAAI,EAAE,KAAK,gBAAgB,KAAK,EAAE,CAACc,EAAEC,CAAC,EAAEksC,GAAG,EAAE,CAAC,EAAE,KAAK,MAAM,KAAK,KAAK,EAAE,EAAE,KAAK,CAAC,EAAEjsC,EAAEgnD,GAAGzpD,EAAEuC,CAAC,EAAE,CAACoB,EAAEC,EAAEoD,CAAC,EAAE0nC,GAAGrsC,EAAE,EAAEA,EAAE,KAAK,CAAC,EAAE,CAAC,EAAE+B,CAAC,EAAEsqC,GAAGjsC,EAAE,EAAEA,EAAE,KAAK,CAAC,EAAEf,EAAE,KAAK,oBAAoB,MAAM42B,EAAE30B,EAAE,CAAC,CAAC,EAAEhC,EAAE,KAAK,oBAAoB,MAAM22B,EAAE10B,EAAEQ,CAAC,CAAC,EAAE,IAAIC,EAAEolD,GAAG7wB,EAAEj3B,EAAE3B,CAAC,EAAEwC,CAAC,EAAE,EAAE,KAAK,WAAW,MAAM81B,EAAEtxB,EAAE3C,CAAC,CAAC,EAAE,IAAIC,EAAEg0B,EAAEM,EAAEl3B,EAAE1B,CAAC,EAAE44B,EAAEN,EAAE,EAAErE,GAAGvyB,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,MAAM,CAAC4C,EAAEA,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAI/D,EAAE,MAAM,UAAU,EAAEZ,EAAE,CAAC,MAAM,KAAK,MAAM,WAAWs8D,GAAG,KAAK,UAAU,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,QAAQ,KAAK,QAAQ,kBAAkBvQ,GAAG,KAAK,iBAAiB,EAAE,qBAAqBA,GAAG,KAAK,oBAAoB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,kBAAkBgR,GAAG,KAAK,iBAAiB,EAAE,qBAAqBA,GAAG,KAAK,oBAAoB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,iBAAiBlO,GAAG,KAAK,gBAAgB,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,eAAeA,GAAG,KAAK,cAAc,EAAE,QAAQ,KAAK,QAAQ,iBAAiB,KAAK,iBAAiB,eAAe,KAAK,eAAe,WAAW,EAAE,EAAE,OAAO,OAAO,OAAO,CAAC,EAAEjuD,EAAEZ,CAAC,CAAC,CAAC,EAAEm/D,GAAG,UAAU,UAAU7nC,GAAE,cAAc6nC,EAAE,EAAE,IAAIC,GAAG,cAAcnP,EAAE,CAAC,YAAYrvD,EAAE,CAACA,EAAE,iBAAiB,GAAG,QAAQ,KAAK,gHAAgH,EAAEA,EAAE,KAAK,IAAIu+D,GAAGv+D,CAAC,EAAE,MAAMA,CAAC,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,KAAK,KAAK,aAAa,OAAOC,GAAG,KAAK,KAAK,WAAW,EAAE,KAAK,KAAK,YAAY,MAAM,KAAK,KAAK,sBAAsB,OAAOA,GAAG,KAAK,KAAK,oBAAoB,EAAE,KAAK,KAAK,qBAAqB,MAAM,IAAI,EAAEvzB,GAAG,KAAK,KAAKA,EAAE,KAAKK,EAAEL,GAAG,KAAK,KAAKA,EAAE,SAAS6B,EAAE7B,GAAG,KAAK,KAAKA,EAAE,aAAa,OAAO,MAAM,KAAKY,EAAE,CAAC,KAAK,EAAE,SAASP,EAAE,aAAawB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO,WAAWjB,EAAEZ,EAAE,CAAC,OAAOA,EAAE,gBAAgB,IAAIA,EAAE,eAAe,GAAG,IAAIY,EAAEZ,CAAC,CAAC,CAAC,EAAEo/D,GAAG,UAAU,MAAM9nC,GAAE,cAAc8nC,EAAE,EAAE,IAAIC,GAAG,cAAcnP,EAAE,CAAC,YAAYtvD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,mBAAmB,OAAO,KAAK,6BAA6B,cAAc,KAAK,2BAA2B,eAAe,KAAK,8BAA8B,aAAa,KAAK,yBAAyB,QAAQ,KAAK,MAAMA,EAAE,MAAMomD,GAAG,KAAK,MAAM,OAAO,EAAE,KAAK,WAAWwV,GAAG57D,EAAE,aAAa,OAAO,KAAK,mBAAmBA,EAAE,UAAU,EAAE,KAAK,oBAAoB47D,GAAG57D,EAAE,sBAAsB,OAAO,KAAK,6BAA6BA,EAAE,mBAAmB,EAAE,KAAK,QAAQA,EAAE,SAAS,KAAK,GAAGA,EAAE,QAAQ,KAAK,kBAAkBorD,GAAGprD,EAAE,mBAAmB,KAAK,0BAA0B,EAAE,KAAK,qBAAqBorD,GAAGprD,EAAE,sBAAsB,KAAK,6BAA6B,EAAE,KAAK,gBAAgBorD,GAAGprD,EAAE,iBAAiB,KAAK,wBAAwB,EAAE,KAAK,eAAeA,EAAE,eAAe,KAAK,kBAAkBq8D,GAAGr8D,EAAE,iBAAiB,EAAE,KAAK,qBAAqBq8D,GAAGr8D,EAAE,oBAAoB,EAAE,KAAK,gBAAgBq8D,GAAGr8D,EAAE,eAAe,EAAE,KAAK,iBAAiBmuD,GAAGnuD,EAAE,gBAAgB,EAAE,KAAK,oBAAoBmuD,GAAGnuD,EAAE,mBAAmB,EAAE,KAAK,eAAemuD,GAAGnuD,EAAE,cAAc,EAAE,KAAK,QAAQgoD,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAEjoD,EAAE,SAAS,KAAK,EAAEA,EAAE,OAAO,CAAC,CAAC,CAAC,EAAE,KAAK,iBAAiBgoD,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAEjoD,EAAE,kBAAkB,KAAK,EAAEA,EAAE,gBAAgB,CAAC,CAAC,CAAC,EAAE,KAAK,YAAYA,EAAE,YAAY,KAAK,eAAeA,EAAE,eAAe,KAAK,UAAU,CAAC,KAAK,MAAM,KAAK,KAAK,EAAE,KAAK,YAAY,KAAK,KAAK,qBAAqB,IAAI,CAAC,MAAMA,EAAE,CAAC,IAAIZ,EAAEY,EAAEwrD,GAAGxrD,CAAC,EAAE,IAAI,EAAEA,EAAEA,EAAE,OAAO,GAAG,KAAK,OAAO,KAAK,UAAU,SAAS,CAAC,EAAE,KAAK,MAAM,CAAC,EAAE,KAAK,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,KAAK,gBAAgB,KAAK,UAAU,mBAAmB,CAAC,KAAK,MAAM,KAAK,MAAM,CAAC,EAAE,KAAK,KAAK,qBAAqB,KAAK,qBAAqB,GAAG,KAAK,mBAAmB,EAAE,IAAIP,EAAE,GAAG,KAAK,QAAQ,CAAC,GAAG,KAAK,eAAe,CAAC,IAAIwB,EAAE,KAAK,gBAAgBC,EAAE,KAAK,MAAMzB,EAAE,IAAIL,EAAE,cAAc4qD,EAAE,CAAC,MAAM5oD,EAAEC,EAAE,CAAC,IAAIS,EAAEb,EAAE,MAAM,CAACC,CAAC,CAAC,EAAEa,EAAE,IAAImoD,GAAG,EAAE,MAAM,CAAChpD,CAAC,CAAC,EAAEc,EAAEf,EAAE,MAAM,CAACC,EAAE,CAAC,CAAC,EAAE,OAAO8nD,GAAGA,GAAGlnD,EAAEC,CAAC,EAAEC,CAAC,CAAC,CAAC,EAAE5C,EAAE,UAAU,aAAaA,EAAE,MAAMK,EAAE,KAAK,gBAAgB,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,MAAM,CAAC,EAAE,KAAKA,EAAE,KAAK,gBAAgB,GAAG,KAAK,cAAc,CAAC,MAAM,KAAK,KAAK,KAAK,KAAK,MAAM,EAAE,CAAC,KAAKO,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,IAAI,EAAEtzB,EAAE,UAAU,KAAK,GAAGA,EAAE,SAAS,GAAGY,EAAEA,EAAEA,EAAE,SAAS,EAAE,MAAM,IAAI+kD,EAAE,wDAAwD/kD,EAAE,SAAS,EAAE,IAAIP,EAAEO,EAAE,GAAGiB,EAAEjB,EAAE,GAAGA,EAAEA,EAAE,GAAG,EAAE,KAAK,SAAS,KAAK,QAAQ,GAAG,KAAK,aAAa,OAAO,KAAK,YAAYq+D,GAAG,CAAC,KAAK,IAAI71B,GAAGxoC,CAAC,EAAE,KAAK,KAAK,QAAQ,SAAS,EAAE,MAAM,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,EAAE,KAAK,kBAAkB,KAAK,iBAAiB,GAAG,KAAK,sBAAsB,OAAO,KAAK,qBAAqBq+D,GAAG,CAAC,KAAK,IAAI71B,GAAG/oC,CAAC,EAAE,KAAK,KAAK,iBAAiB,SAAS,EAAE,MAAM,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,IAAIyB,EAAE,KAAK,YAAYC,EAAE,KAAK,qBAAqBC,EAAE,EAAEU,EAAE,EAAE,EAAE,KAAK,SAAS,KAAK,QAAQ,IAAI9B,EAAEq4B,EAAEr4B,EAAEkB,EAAE,EAAE,GAAG,IAAIc,EAAEknD,GAAGlpD,EAAE,KAAK,OAAO,KAAK,CAAC,EAAE,EAAE,KAAK,kBAAkB,KAAK,iBAAiB,IAAIP,EAAE44B,EAAE54B,EAAE0B,EAAE,EAAE,GAAGa,EAAE+1B,EAAE/1B,EAAEknD,GAAGzpD,EAAE,KAAK,gBAAgB,KAAK,CAAC,CAAC,EAAE,KAAK,UAAUuC,EAAEsnD,GAAGtnD,EAAE,KAAK,KAAK,KAAK,CAAC,GAAG,GAAG,CAACC,EAAEC,EAAEkB,EAAEC,CAAC,EAAE8qC,GAAGnsC,EAAE,EAAEA,EAAE,KAAK,CAAC,EAAEZ,EAAE,KAAK,oBAAoB,MAAMa,CAAC,EAAE,EAAE,KAAK,oBAAoB,MAAMC,CAAC,EAAEJ,EAAEi2B,EAAEM,EAAE,EAAEp3B,CAAC,EAAEo3B,EAAEj3B,EAAE,KAAK,WAAW,MAAMgC,CAAC,CAAC,CAAC,EAAE,EAAE,KAAK,oBAAoB,MAAMC,CAAC,EAAE,IAAIoD,EAAE4xB,EAAE,EAAE,KAAK,WAAW,MAAMv2B,CAAC,CAAC,EAAE,MAAM,CAAC2E,EAAEA,EAAE3E,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAI9B,EAAE,MAAM,UAAU,EAAEZ,EAAE,CAAC,MAAM,KAAK,MAAM,WAAWs8D,GAAG,KAAK,UAAU,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,QAAQ,KAAK,QAAQ,kBAAkBvQ,GAAG,KAAK,iBAAiB,EAAE,qBAAqBA,GAAG,KAAK,oBAAoB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,eAAe,KAAK,eAAe,kBAAkBgR,GAAG,KAAK,iBAAiB,EAAE,qBAAqBA,GAAG,KAAK,oBAAoB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,iBAAiBlO,GAAG,KAAK,gBAAgB,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,eAAeA,GAAG,KAAK,cAAc,EAAE,QAAQ,KAAK,QAAQ,iBAAiB,KAAK,iBAAiB,eAAe,KAAK,cAAc,EAAE,OAAO,OAAO,OAAO,CAAC,EAAEjuD,EAAEZ,CAAC,CAAC,CAAC,EAAEq/D,GAAG,UAAU,WAAW/nC,GAAE,cAAc+nC,EAAE,EAAE,IAAIC,GAAG,cAAcrP,EAAE,CAAC,YAAYrvD,EAAE,CAACA,EAAE,iBAAiB,GAAG,QAAQ,KAAK,gHAAgH,EAAEA,EAAE,KAAK,IAAIy+D,GAAGz+D,CAAC,EAAE,MAAMA,CAAC,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,KAAK,KAAK,aAAa,OAAOC,GAAG,KAAK,KAAK,WAAW,EAAE,KAAK,KAAK,YAAY,MAAM,KAAK,KAAK,sBAAsB,OAAOA,GAAG,KAAK,KAAK,oBAAoB,EAAE,KAAK,KAAK,qBAAqB,MAAM,IAAI,EAAEvzB,GAAG,KAAK,KAAKA,EAAE,KAAKK,EAAEL,GAAG,KAAK,KAAKA,EAAE,SAAS6B,EAAE7B,GAAG,KAAK,KAAKA,EAAE,aAAa,OAAO,MAAM,KAAKY,EAAE,CAAC,KAAK,EAAE,SAASP,EAAE,aAAawB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO,WAAWjB,EAAEZ,EAAE,CAAC,OAAOA,EAAE,gBAAgB,IAAIA,EAAE,eAAe,GAAG,IAAIY,EAAEZ,CAAC,CAAC,CAAC,EAAEs/D,GAAG,UAAU,OAAOhoC,GAAE,cAAcgoC,EAAE,EAAE,IAAIP,GAAG,cAAc7O,EAAE,CAAC,YAAYtvD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,MAAMA,EAAE,KAAK,CAAC,IAAI,WAAW,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQZ,KAAK,KAAK,MAAM,MAAM,EAAE,QAAQ,EAAE,MAAM,QAAQA,EAAE,SAAS,EAAEY,EAAE,KAAK,GAAGZ,EAAE,SAAS,EAAEY,EAAE,KAAKZ,EAAE,SAAS,EAAE,OAAOY,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC1yB,EAAEA,EAAE,IAAI,EAAEA,EAAE,MAAM,CAAC,EAAEP,EAAE,CAAC,EAAE,QAAQ0B,KAAK,KAAK,MAAM,MAAM,EAAE,QAAQ,EAAE,MAAM,QAAQA,EAAE,SAAS,EAAE1B,EAAE,KAAK,EAAE,OAAO,EAAE0B,EAAE,UAAU,MAAM,CAAC,EAAE1B,EAAE,KAAK,EAAE,OAAO,EAAE,CAAC,CAAC,EAAEA,EAAE,QAAQ,EAAE,IAAIwB,EAAE,CAAC,EAAEC,EAAE,QAAQC,EAAE,EAAEA,EAAE,KAAK,MAAM,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAE,KAAK,MAAMD,GAAG,EAAE1B,EAAE0B,GAAGA,IAAI,EAAED,EAAE,CAAClB,EAAE,EAAE,EAAE,OAAO,CAAC,EAAEkB,EAAE,CAACA,EAAE,EAAE,EAAE,OAAO,CAAC,EAAEA,EAAEE,EAAE,KAAKF,EAAE9B,CAAC,EAAE6B,EAAE,KAAKC,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,QAAQC,KAAKF,EAAE,MAAM,EAAE,QAAQ,EAAE,EAAE,KAAK,GAAGE,CAAC,EAAE,MAAM,CAACD,EAAE,EAAE,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,CAAC,MAAMlB,EAAE,CAACqrD,GAAGrrD,CAAC,IAAIA,EAAEA,EAAE,IAAIA,EAAEA,EAAE,IAAIZ,EAAE,KAAK,MAAM,QAAQ,CAAC,EAAEK,IAAI,CAAC+nD,GAAG,WAAW/nD,IAAI,IAAI,CAAC,EAAE,MAAMO,CAAC,EAAE,MAAM,QAAQ,EAAE,SAAS,EAAEZ,EAAE,EAAE,UAAU,GAAGA,EAAE,EAAE,UAAUY,EAAE,CAACA,EAAE,GAAGZ,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,WAAW,CAAC,IAAIY,EAAE,MAAM,UAAU,EAAEZ,EAAE6B,IAAI,CAAC,UAAUA,EAAE,aAAa,EAAE,OAAOA,EAAE,UAAU,CAAC,GAAGxB,EAAE,CAAC,MAAM,KAAK,MAAM,IAAIL,CAAC,CAAC,EAAE,OAAO,OAAO,OAAO,CAAC,EAAEY,EAAEP,CAAC,CAAC,CAAC,OAAO,WAAWO,EAAEZ,EAAE,EAAE,CAAC,EAAE,CAAC,IAAIK,EAAE,CAAC,EAAE,QAAQwB,KAAK7B,EAAE,MAAMK,EAAE,KAAKm1D,GAAG3zD,EAAE,CAAC,CAAC,EAAE,OAAO,IAAIjB,EAAE,CAAC,MAAMP,CAAC,CAAC,CAAC,CAAC,IAAI,kBAAkB,CAAC,GAAG,CAAC,KAAK,UAAU,MAAM,CAAC,EAAE,IAAIO,EAAE,CAAC,EAAE,QAAQZ,KAAK,KAAK,MAAMY,EAAE,KAAK,GAAGZ,EAAE,gBAAgB,EAAE,OAAOY,CAAC,CAAC,IAAI,qBAAqB,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQZ,KAAK,KAAK,MAAMY,EAAE,KAAK,GAAGZ,EAAE,mBAAmB,EAAE,GAAG,CAAC,KAAK,UAAU,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQ,KAAK,KAAK,MAAMA,EAAE,KAAK,GAAG,EAAE,gBAAgB,EAAE,OAAOA,EAAE,OAAOY,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,YAAY,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQZ,KAAK,KAAK,MAAMY,EAAE,KAAK,GAAGZ,EAAE,OAAO,EAAE,OAAOysD,GAAG7rD,CAAC,CAAC,CAAC,WAAWA,EAAE,CAAC,IAAIZ,EAAE,CAAC,EAAE,QAAQ,KAAK,KAAK,MAAM,CAAC,IAAIK,EAAE,EAAE,QAAQ,OAAOwB,EAAEjB,EAAE,OAAOP,CAAC,EAAE,QAAQyB,EAAE,EAAEA,EAAE,EAAE,QAAQ,OAAO,EAAEA,EAAE9B,EAAE,KAAK,CAAC,EAAE,QAAQ8B,GAAGD,EAAEC,EAAE,CAAC,CAAC,CAAC4qD,GAAG1sD,CAAC,CAAC,CAAC,EAAE++D,GAAG,UAAU,kBAAkBznC,GAAE,cAAcynC,EAAE,EAAE,SAASE,GAAGn/D,EAAE,CAAC,GAAG,CAAC,KAAK,EAAE,KAAKE,EAAE,SAASI,EAAE,GAAG,MAAMC,EAAE,EAAE,YAAY,CAAC,EAAEP,EAAE,EAAE,IAAI,GAAG,KAAK,EAAE,EAAE,EAAEE,CAAC,EAAEqqD,GAAG,EAAE,EAAErqD,CAAC,EAAE+B,EAAE,IAAIwoD,GAAG,EAAE,EAAEnqD,CAAC,EAAE,MAAM,CAACC,GAAGA,GAAG,EAAEmzB,GAAGzxB,EAAE,EAAE,MAAM,CAAC,EAAE,MAAM1B,CAAC,EAAE,KAAK,MAAM,EAAE,IAAI0B,CAAC,EAAE,IAAI,GAAGyxB,GAAG,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,IAAI+rC,GAAG,SAASz/D,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQI,KAAKN,EAAE,OAAO,UAAU,eAAe,KAAKA,EAAEM,CAAC,GAAG,EAAE,QAAQA,CAAC,EAAE,IAAIJ,EAAEI,GAAGN,EAAEM,IAAI,GAAGN,GAAG,MAAM,OAAO,OAAO,uBAAuB,WAAW,QAAQO,EAAE,EAAED,EAAE,OAAO,sBAAsBN,CAAC,EAAEO,EAAED,EAAE,OAAOC,IAAI,EAAE,QAAQD,EAAEC,EAAE,EAAE,GAAG,OAAO,UAAU,qBAAqB,KAAKP,EAAEM,EAAEC,EAAE,IAAIL,EAAEI,EAAEC,IAAIP,EAAEM,EAAEC,KAAK,OAAOL,CAAC,EAAMw/D,GAAG,cAAcvP,EAAE,CAAC,YAAYrvD,EAAE,CAAC,GAAGA,EAAE,OAAO,MAAM,IAAIglD,GAAG,oDAAoD,EAAE,GAAG,MAAM,QAAQhlD,EAAE,IAAI,EAAE,MAAM,IAAIglD,GAAG,gEAAgE,EAAE,MAAMhlD,CAAC,EAAE,KAAK,UAAU,CAAC,IAAI+rD,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,KAAK/rD,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,GAAG,KAAK,KAAK,aAAa,OAAOC,GAAG,KAAK,KAAK,WAAW,EAAE,KAAK,KAAK,YAAY,MAAM,KAAK,KAAK,sBAAsB,OAAOA,GAAG,KAAK,KAAK,oBAAoB,EAAE,KAAK,KAAK,qBAAqB,MAAMvzB,GAAGA,EAAE,UAAU,MAAM,IAAI2lD,EAAE,2CAA2C,EAAE,IAAI,EAAE3lD,GAAG,KAAK,KAAKA,EAAE,KAAKK,EAAEL,GAAG,KAAK,KAAKA,EAAE,SAAS6B,EAAE7B,GAAG,KAAK,KAAKA,EAAE,aAAa,OAAO,MAAM,KAAKY,EAAE,CAAC,KAAK,EAAE,SAASP,EAAE,aAAawB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBjB,EAAE,CAAC,IAAIZ,EAAE,KAAK,yBAAyBY,CAAC,EAAE,OAAO,KAAK,kBAAkBZ,EAAE,CAACA,EAAE,GAAG,GAAGA,EAAE,MAAM,CAAC,CAAC,GAAG,KAAK,cAAcA,EAAE,CAACA,EAAE,GAAG,MAAM,CAAC,EAAE,KAAK,CAACY,EAAE,GAAG,GAAGZ,EAAE,MAAM,EAAE,CAAC,CAAC,CAAC,GAAGA,CAAC,CAAC,gBAAgBY,EAAE,CAAC,OAAO0yB,EAAE,IAAI,CAAC,GAAG,CAAC,UAAUtzB,CAAC,EAAE,KAAK,KAAK,EAAEY,EAAE,MAAMP,EAAE,KAAK,yBAAyB,CAAC,EAAEwB,EAAE,CAACxB,EAAE,GAAG,GAAGA,EAAE,MAAM,CAAC,CAAC,EAAEyB,EAAEomC,GAAGrmC,CAAC,EAAE,OAAO,MAAM,QAAQ7B,CAAC,EAAE,MAAMA,EAAE,MAAM,EAAE,KAAK8B,CAAC,EAAE,CAACA,CAAC,CAAC,CAAC,CAAC,CAAC,YAAYlB,EAAEZ,EAAE,GAAG,CAACszB,EAAE,IAAI,CAAC,GAAG,CAAC,KAAK,SAAS,MAAM,IAAImyB,GAAG,iEAAiE,EAAE,IAAI,EAAE,KAAK,UAAU,GAAG,MAAMplD,EAAE,KAAK,yBAAyB,CAAC,EAAEwB,EAAE,CAACxB,EAAE,GAAG,GAAGA,EAAE,MAAM,CAAC,CAAC,EAAE,GAAG,EAAE,IAAI,KAAK,MAAM,IAAIslD,EAAE,uUAAuU,EAAE,GAAG,KAAK,UAAU,GAAG,KAAK,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,QAAQ,KAAK,KAAK,UAAU,IAAI,IAAIzd,GAAGrmC,CAAC,CAAC,EAAE,KAAK,QAAQ,CAACqmC,GAAGrmC,CAAC,CAAC,UAAUjB,GAAG,KAAK2yB,GAAG,KAAK,OAAO,EAAE,KAAK,YAAY,OAAOA,GAAG,KAAK,UAAU,EAAE,KAAK,WAAW,CAAC,GAAG,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,QAAQ,KAAK,KAAK,UAAU,IAAI,IAAI2U,GAAGrmC,CAAC,CAAC,EAAE,KAAK,QAAQ,GAAGqmC,GAAGrmC,CAAC,MAAM,CAAC,GAAG,MAAM,QAAQjB,CAAC,IAAIA,EAAE,CAACA,CAAC,GAAGA,EAAE,SAAS,KAAK,QAAQ,OAAO,MAAM,IAAI+kD,EAAE,SAAS,KAAK,gBAAgB,KAAK,QAAQ,oCAAoC/kD,EAAE,0CAA0CA,GAAG,EAAEZ,EAAE,KAAK,WAAW,KAAK,KAAK,QAAQ,MAAM,CAAC,EAAEuzB,GAAG,KAAK,OAAO,EAAE,QAAQxxB,EAAE,EAAEA,EAAE,KAAK,QAAQ,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAEpB,EAAEmB,GAAGE,EAAEJ,EAAE,GAAG,CAAC8kB,EAAE,YAAY3kB,EAAE,MAAMC,CAAC,EAAE,MAAM,IAAI0jD,EAAE,SAAS5jD,gCAAgC,KAAK,wBAAwBE,qBAAqBD,EAAE,OAAO,EAAE,KAAK,QAAQD,GAAGC,CAAC,CAAC,CAAC,KAAK,QAAQ,KAAK,QAAQ,IAAID,GAAGyxB,GAAGzxB,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,yBAAyBnB,EAAE,CAAC,GAAG,CAAC,WAAWZ,EAAE,QAAQ,EAAE,WAAWK,EAAE,QAAQwB,EAAE,QAAQC,EAAE,aAAaC,CAAC,EAAE,KAAK,KAAKC,EAAEhC,IAAI,gBAAgB,EAAEY,EAAEoB,EAAE,EAAE,GAAGU,EAAE9B,EAAEoB,EAAE,EAAE,GAAG,EAAEy7D,GAAG,EAAEp9D,EAAE,GAAGwB,EAAEC,EAAE,GAAGC,EAAE,EAAE,EAAEa,EAAE66D,GAAG/6D,EAAErC,EAAE,GAAGwB,EAAEC,EAAE,GAAGC,EAAE,EAAE,EAAE,MAAM,CAAC,GAAGnB,EAAE,MAAM,EAAE,CAAC,EAAE,GAAGoB,EAAE,CAAC,EAAE,EAAEY,CAAC,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,CAAC,CAAC,EAAE48D,GAAG,UAAU,YAAY,IAAIC,GAAG,cAAcJ,EAAE,CAAC,YAAYz+D,EAAE,CAAC,GAAG,CAAC,QAAQZ,EAAE,WAAW,EAAE,QAAQK,EAAE,QAAQwB,EAAE,WAAWC,EAAE,aAAaC,CAAC,EAAEnB,EAAE,MAAM,OAAO,OAAO,CAAC,EAAEA,EAAE,CAAC,MAAMZ,CAAC,CAAC,CAAC,EAAE,KAAK,QAAQA,EAAEgnD,GAAG,KAAK,QAAQ,SAAS,EAAE,KAAK,WAAWwW,GAAG,EAAE,EAAE,YAAY,EAAE,KAAK,WAAW,QAAQx7D,GAAGglD,GAAGhlD,EAAE,YAAY,CAAC,EAAE,KAAK,QAAQw7D,GAAGn9D,GAAG,EAAE,EAAE,SAAS,EAAE,KAAK,QAAQ,QAAQ2B,GAAGglD,GAAGhlD,EAAE,SAAS,CAAC,EAAE,KAAK,QAAQH,GAAG,QAAQmmD,GAAG,KAAK,OAAO,EAAE,KAAK,WAAWlmD,GAAG,eAAegmD,GAAG,KAAK,UAAU,EAAE,KAAK,aAAa0V,GAAGz7D,GAAG,EAAE,EAAE,cAAc,EAAE,KAAK,aAAa,QAAQC,GAAGglD,GAAGhlD,EAAE,cAAc,CAAC,CAAC,CAAC,MAAMpB,EAAE,CAAC,IAAIZ,EAAEY,EAAEwrD,GAAGxrD,CAAC,EAAE,IAAI,EAAE,KAAK,aAAa,gBAAgB,EAAEA,EAAE,OAAO,EAAE,GAAGA,EAAE,IAAI,KAAK,MAAM,IAAI+kD,EAAE,+DAA+D/kD,EAAE,IAAI,EAAE,IAAIP,EAAEO,EAAE,GAAGiB,EAAE,EAAEC,EAAE,KAAK,WAAW,OAAO,CAACzB,EAAE,KAAK,QAAQwB,CAAC,CAAC,EAAE,KAAK,OAAO,KAAK,UAAU,SAASC,EAAE,KAAK,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,IAAIC,EAAE,KAAK,WAAW,OAAO,CAAC,KAAK,QAAQ,KAAK,QAAQF,CAAC,CAAC,EAAE,GAAG,KAAK,gBAAgB,KAAK,UAAU,mBAAmBE,EAAE,KAAK,KAAK,qBAAqB,KAAK,qBAAqB,GAAG,KAAK,mBAAmB,EAAE,KAAK,QAAQ,CAAC,IAAIC,EAAE,GAAG,KAAK,eAAe,CAAC,IAAI,EAAE,KAAK,gBAAgBU,EAAE,KAAK,QAAQV,EAAE,IAAIhC,EAAE,cAAc4qD,EAAE,CAAC,MAAMhoD,EAAEC,EAAE,CAAC,IAAIC,EAAE,EAAE,MAAM,CAACJ,CAAC,CAAC,EAAE,EAAEylC,GAAG,CAACzlC,CAAC,CAAC,EAAEuB,EAAE,EAAE,MAAM,CAACvB,EAAE,CAAC,CAAC,EAAE,OAAOinD,GAAG,CAAC7mD,EAAE,EAAEmB,CAAC,CAAC,CAAC,CAAC,EAAEjE,EAAE,UAAU,aAAaA,EAAE,MAAMgC,EAAE,KAAK,gBAAgB,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,QAAQH,CAAC,EAAE,KAAKG,EAAE,KAAK,gBAAgB,GAAG,KAAK,cAAc,CAAC,CAAC,KAAK,MAAM,EAAE,CAAC,KAAKpB,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,GAAG1yB,EAAE,SAAS,EAAE,MAAM,IAAI+kD,EAAE,8DAA8D/kD,EAAE,SAAS,EAAE,IAAI,EAAEZ,EAAE,UAAU,GAAGK,EAAEO,EAAE,GAAGiB,EAAEjB,EAAE,GAAGkB,EAAElB,EAAE,GAAGmB,EAAE,EAAE,EAAE,KAAK,SAAS,KAAK,QAAQ,GAAG,KAAK,aAAa,OAAO,KAAK,YAAYk9D,GAAG,CAAC,KAAK,IAAI71B,GAAG/oC,CAAC,EAAE,KAAK,KAAK,QAAQ,SAAS,EAAE,MAAM0B,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,IAAIC,EAAE,KAAK,YAAY,EAAE,CAACkG,EAAGC,EAAGC,KAAK,CAACD,GAAI,CAACA,EAAGC,IAAIF,EAAG+wB,EAAE9wB,EAAGC,IAAIF,CAAE,EAAExF,EAAE,EAAErC,EAAE2B,EAAE,CAAC,EAAE,EAAE,EAAE3B,EAAE2B,EAAE,CAAC,EAAEY,EAAE,EAAEvC,EAAE2B,EAAE,CAAC,EAAEa,EAAE,EAAExC,EAAE2B,EAAE,CAAC,EAAE,EAAE,KAAK,kBAAkB,KAAK,iBAAiB,GAAG,KAAK,sBAAsB,OAAO,KAAK,qBAAqBi9D,GAAG,CAAC,KAAK,IAAI71B,GAAGvnC,CAAC,EAAE,KAAK,KAAK,iBAAiB,SAAS,EAAE,MAAME,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,IAAIe,EAAE,KAAK,qBAAqBkB,EAAE,EAAEnC,EAAEiB,EAAE,CAAC,EAAEmB,EAAE,EAAEpC,EAAEiB,EAAE,CAAC,EAAEuE,EAAE,EAAExF,EAAEiB,EAAE,CAAC,EAAE,EAAE,EAAEjB,EAAEiB,EAAE,CAAC,EAAE2B,EAAE,EAAE,CAACC,EAAEC,EAAEC,EAAE0C,CAAC,EAAEynC,GAAG,KAAK,OAAO,KAAK,EAAEhtC,EAAE0C,CAAC,EAAE,CAACK,EAAEyC,EAAExC,EAAEC,CAAC,EAAE,KAAK,QAAQ+pC,GAAG,KAAK,KAAK,KAAK,EAAEhtC,CAAC,EAAE,CAAC,KAAK,KAAK,KAAK,IAAI,EAAEW,EAAE,KAAK,UAAUA,EAAEgC,EAAEI,EAAE,KAAK,OAAO,EAAE,EAAE,KAAK,UAAU,EAAEH,EAAE4C,EAAE,KAAK,OAAO,EAAE3E,EAAE,KAAK,UAAUA,EAAEgC,EAAEG,EAAE,KAAK,OAAO,EAAElC,EAAE,KAAK,UAAUA,EAAEyE,EAAEtC,EAAE,KAAK,OAAO,EAAE,GAAG,CAACC,EAAEC,EAAEC,EAAEC,CAAC,EAAE2pC,GAAG,KAAK,gBAAgB,KAAK,EAAEhtC,EAAE0C,CAAC,EAAET,EAAE,KAAK,cAAcA,EAAEiB,CAAC,EAAEhB,EAAE,KAAK,cAAcA,EAAEiB,CAAC,EAAEmC,EAAE,KAAK,cAAcA,EAAElC,CAAC,EAAE,EAAE,KAAK,cAAc,EAAEC,CAAC,EAAE,IAAI2C,EAAE,KAAK,oBAAoB,MAAM4wB,EAAEj2B,EAAEsB,CAAC,CAAC,EAAEyD,EAAE,KAAK,oBAAoB,MAAMkxB,EAAE,EAAE10B,CAAC,CAAC,EAAE+D,EAAE2wB,EAAEM,EAAExxB,EAAE3F,CAAC,EAAEm3B,EAAElxB,EAAE,KAAK,WAAW,MAAM4wB,EAAE/1B,EAAEyE,CAAC,CAAC,CAAC,CAAC,EAAEY,EAAGgxB,EAAE,KAAK,oBAAoB,MAAMN,EAAE91B,EAAE,CAAC,CAAC,EAAE,KAAK,WAAW,MAAMmF,CAAC,CAAC,EAAE,MAAM,CAACC,EAAGA,EAAGD,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIpH,EAAE,MAAM,UAAU,EAAE,CAAC,MAAMZ,CAAC,EAAEY,EAAE,EAAE2+D,GAAG3+D,EAAE,CAAC,OAAO,CAAC,EAAEP,EAAE,CAAC,QAAQ,KAAK,QAAQ,WAAW,KAAK,WAAW,QAAQ,KAAK,QAAQ,WAAW,KAAK,WAAW,aAAa,KAAK,aAAa,QAAQ,KAAK,OAAO,EAAE,OAAO,OAAO,OAAO,CAAC,EAAE,EAAEA,CAAC,CAAC,CAAC,UAAUO,EAAEZ,EAAE,EAAEK,EAAE,CAAC,IAAIwB,EAAEg9B,GAAGj+B,EAAEZ,EAAE,KAAK,QAAQK,GAAG,QAAQ,KAAK,aAAa,gBAAgB,OAAO,OAAO,KAAK,YAAY,EAAE,OAAO,EAAE6pD,GAAGroD,EAAE,EAAE,KAAK,UAAU,EAAEA,CAAC,CAAC,cAAcjB,EAAEZ,EAAE,CAAC,OAAO6+B,GAAGj+B,EAAEZ,EAAE,EAAE,OAAO,KAAK,aAAa,gBAAgB,OAAO,MAAM,CAAC,CAAC,EAAEy/D,GAAG,UAAU,iBAAiBnoC,GAAE,cAAcmoC,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAY5+D,EAAE,CAAC,IAAIZ,EAAE,IAAIy/D,GAAG7+D,CAAC,EAAE,MAAM,OAAO,OAAO,CAAC,EAAEA,EAAE,CAAC,KAAKZ,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO,WAAWY,EAAEZ,EAAE,CAAC,OAAO,IAAIY,EAAEZ,CAAC,CAAC,CAAC,EAAE0/D,GAAG,UAAU,aAAapoC,GAAE,cAAcooC,EAAE,EAAE,IAAIC,GAAG,cAAc3S,EAAE,CAAC,YAAYpsD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,KAAK,KAAK,IAAI,KAAK,IAAIA,EAAE,KAAK,CAAC,EAAE,CAAC,EAAE,KAAK,WAAWA,EAAE,WAAW,KAAK,KAAKA,EAAE,KAAK,KAAK,gBAAgB,EAAE,CAAC,cAAcA,EAAE,CAAC,GAAG,KAAK,YAAY,KAAK,OAAO,KAAK,WAAW,IAAIZ,EAAEY,EAAE,MAAM,EAAE,CAAC,EAAE,QAAQP,EAAE,EAAEA,EAAE,KAAK,WAAW,OAAO,EAAEA,EAAE,EAAE,KAAK,KAAK,WAAWA,IAAI,KAAKL,EAAEK,GAAG,KAAK,WAAWA,EAAE,EAAE,OAAO,CAAC,CAAC,KAAKO,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,KAAK,eAAe1yB,EAAEZ,CAAC,EAAE,IAAI,EAAEmsD,GAAGvrD,CAAC,EAAE,GAAG,EAAE,KAAK,MAAM,KAAK,KAAK,EAAE,CAAC,IAAIP,EAAEL,EAAE,UAAU,KAAK,GAAGA,EAAE,SAAS6B,EAAE,KAAK,cAAc,CAAC,EAAE,OAAO0oD,GAAG,IAAIF,GAAG,EAAE,KAAK,KAAKxoD,EAAE,KAAK,IAAI,EAAE,IAAI,EAAExB,CAAC,CAAC,CAAC,OAAOO,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,KAAK,KAAK,KAAK,WAAW,KAAK,WAAW,KAAK,KAAK,IAAI,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,SAAS,CAAC,OAAO,MAAM,QAAQ,CAAC,CAAC,EAAE++D,GAAG,UAAU,UAAUroC,GAAE,cAAcqoC,EAAE,EAAE,IAAIC,GAAG,cAAcD,EAAE,CAAC,YAAY/+D,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,UAAU,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,cAAcA,EAAE,CAAC,IAAIZ,EAAEY,EAAE,MAAM,MAAM,CAACZ,EAAE,GAAG,EAAEA,EAAE,EAAE,CAAC,CAAC,EAAE4/D,GAAG,UAAU,mBAAmBtoC,GAAE,cAAcsoC,EAAE,EAAE,IAAIC,GAAG,cAAc7S,EAAE,CAAC,YAAYpsD,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,WAAW,KAAK,KAAK,QAAQ,GAAG,KAAK,OAAO,KAAK,KAAK,KAAK,KAAK,KAAK,2BAA2B,eAAe,KAAK,yBAAyB,QAAQA,EAAE,iBAAiB,MAAMA,EAAE,YAAY,MAAMA,EAAE,UAAU,KAAK,CAAC,IAAIZ,EAAE,KAAKY,EAAE,WAAW,OAAOZ,EAAEY,EAAE,WAAW,KAAK,gBAAgB,CAACZ,EAAEY,EAAE,QAAQ,CAAC,CAAC,KAAK,MAAMA,EAAE,MAAMomD,GAAG,KAAK,MAAM,OAAO,EAAE,KAAK,WAAWwV,GAAG57D,EAAE,UAAU,EAAEA,EAAE,SAAS,OAAO,KAAK,QAAQA,EAAE,SAAS,KAAK,kBAAkBorD,GAAGprD,EAAE,mBAAmB,KAAK,0BAA0B,EAAE,KAAK,gBAAgBorD,GAAGprD,EAAE,iBAAiB,KAAK,wBAAwB,EAAE,KAAK,iBAAiBmuD,GAAGnuD,EAAE,gBAAgB,EAAE,KAAK,eAAemuD,GAAGnuD,EAAE,cAAc,EAAE,KAAK,kBAAkBq8D,GAAGr8D,EAAE,iBAAiB,EAAE,KAAK,gBAAgBq8D,GAAGr8D,EAAE,eAAe,EAAE,KAAK,oBAAoBq8D,GAAGr8D,EAAE,mBAAmB,EAAE,KAAK,gBAAgB,GAAG,KAAK,UAAU,CAAC,CAAC,QAAQ,CAAC,CAAC,CAAC,CAAC,MAAMA,EAAE,CAACA,EAAEwrD,GAAGxrD,CAAC,EAAE,IAAIZ,EAAEY,EAAEA,EAAE,OAAO,GAAG,KAAK,QAAQ,OAAO,KAAK,OAAO,KAAK,UAAU,SAAS,CAACZ,EAAE,KAAK,KAAK,EAAE,KAAK,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,KAAK,UAAU,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,KAAK,EAAE,KAAK,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,IAAI,KAAK,UAAU,CAAC,CAAC,QAAQ,EAAE,KAAK,CAAC,CAAC,IAAIA,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,mBAAmBY,EAAE,CAACA,EAAEwrD,GAAGxrD,CAAC,EAAE,IAAIZ,EAAEY,EAAE,MAAM,EAAE,OAAOZ,EAAEA,EAAE,OAAO,GAAG,KAAK,MAAMA,CAAC,CAAC,KAAKY,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,KAAK,eAAe1yB,EAAEZ,CAAC,EAAE,IAAI,EAAEmsD,GAAGvrD,CAAC,EAAEP,EAAE8mD,GAAG,KAAK,WAAW,aAAa,CAAC,EAAEtlD,EAAE,OAAOxB,GAAG,KAAKwB,EAAEioD,GAAG,EAAE,KAAK,OAAO,KAAK,EAAEzpD,EAAE,KAAK,KAAK,KAAK,KAAK,KAAK,EAAE,IAAI,GAAGwB,EAAEioD,GAAG,EAAE,KAAK,OAAO,KAAK,CAAC,EAAE,KAAK,MAAM,OAAOjoD,EAAEqoD,GAAGroD,EAAE,KAAK,KAAK,KAAK,CAAC,GAAG,KAAK,YAAY,OAAOA,EAAE,KAAK,WAAW,MAAMA,CAAC,IAAIA,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIjB,EAAE,CAAC,MAAM,KAAK,MAAM,WAAW07D,GAAG,KAAK,UAAU,EAAE,QAAQ,KAAK,QAAQ,kBAAkBvQ,GAAG,KAAK,iBAAiB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,kBAAkBgR,GAAG,KAAK,iBAAiB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,iBAAiBlO,GAAG,KAAK,gBAAgB,EAAE,eAAeA,GAAG,KAAK,cAAc,CAAC,EAAE7uD,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEi/D,GAAG,UAAU,QAAQvoC,GAAE,cAAcuoC,EAAE,EAAE,IAAIC,GAAG,cAAc9S,EAAE,CAAC,YAAYpsD,EAAE,CAACA,EAAEA,GAAG,CAAC,EAAE,MAAMA,CAAC,EAAE,KAAK,UAAU,CAAC,CAAC,QAAQ,CAAC,CAAC,EAAE,KAAK,WAAWA,EAAE,UAAU,CAAC,mBAAmBA,EAAE,CAACA,EAAEwrD,GAAGxrD,CAAC,EAAE,QAAQZ,KAAKY,EAAE,MAAM,CAAC,EAAE,GAAGZ,GAAG,KAAK,MAAM,IAAI2lD,EAAE,iEAAiE/kD,EAAE,MAAM,CAAC,kHAAkH,EAAE,MAAM,CAACA,EAAE,GAAG+nD,GAAG/nD,EAAE,CAAC,CAAC,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,KAAK,eAAe1yB,EAAEZ,CAAC,EAAE,IAAI,EAAEmsD,GAAGvrD,CAAC,EAAE,GAAG,KAAK,aAAa,iBAAiB,EAAE,KAAK,EAAE,CAAC,IAAIP,EAAE,CAAC,CAAC,EAAE,QAAQwB,EAAE,EAAEA,EAAE,EAAE,KAAK,EAAEA,EAAExB,EAAE,KAAKwB,CAAC,EAAExB,EAAE,KAAK,CAAC,EAAE,EAAEq0B,GAAG,EAAEr0B,CAAC,CAAC,CAAC,OAAOkpD,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAI3oD,EAAE,CAAC,EAAE,KAAK,YAAY,OAAOA,EAAE,WAAW,KAAK,YAAY,IAAIZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEk/D,GAAG,UAAU,UAAUxoC,GAAE,cAAcwoC,EAAE,EAAE,IAAIC,GAAG,cAAc/S,EAAE,CAAC,YAAYpsD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,gBAAgB,GAAG,KAAK,WAAW47D,GAAG57D,EAAE,UAAU,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,KAAK,eAAe1yB,EAAEZ,CAAC,EAAE,IAAI,EAAEmsD,GAAGvrD,CAAC,EAAE,OAAO,KAAK,WAAW,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,WAAW07D,GAAG,KAAK,UAAU,CAAC,EAAEt8D,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEm/D,GAAG,UAAU,aAAazoC,GAAE,cAAcyoC,EAAE,EAAE,IAAIC,GAAG,cAAchT,EAAE,CAAC,YAAYpsD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,EAAEA,EAAE,EAAE,KAAK,UAAU,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAAC,MAAM,CAACA,EAAE,GAAG,KAAK,EAAEA,EAAE,EAAE,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,KAAK1yB,EAAEurD,GAAGvrD,CAAC,EAAEwoD,GAAGxoD,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,EAAE,KAAK,CAAC,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEo/D,GAAG,UAAU,eAAe1oC,GAAE,cAAc0oC,EAAE,EAAE,IAAIC,GAAG,cAAcjT,EAAE,CAAC,YAAYpsD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,YAAYA,EAAE,YAAY,QAAQZ,EAAE,EAAEA,EAAE,KAAK,YAAY,OAAO,EAAEA,EAAE,KAAK,UAAU,KAAK,YAAYA,EAAE,IAAI,KAAK,YAAYA,GAAG,KAAK,CAAC,UAAUY,EAAE,CAAC,OAAOA,EAAE,GAAGA,GAAG,IAAI,CAAC,oBAAoBA,EAAEZ,EAAE,CAAC,IAAI,EAAE,6CAA6CK,EAAEL,EAAE,MAAM,EAAE6B,EAAE,EAAEC,EAAE,KAAK,QAAQE,EAAE,EAAEA,EAAE3B,EAAE,OAAO,EAAE2B,EAAE,CAAC,IAAI,EAAE3B,EAAE2B,GAAG,GAAG,KAAK,UAAU,CAAC,EAAE,GAAGF,IAAI,KAAKA,EAAEE,MAAO,OAAM,IAAI2jD,EAAE,0CAA0C,OAAO9jD,GAAG,CAAC,CAAC,IAAIE,EAAE4mD,GAAG/nD,CAAC,EAAE,GAAGkB,IAAI,KAAK,CAAC,GAAGD,IAAI,GAAGE,EAAEF,IAAI,EAAE,MAAM,IAAI8jD,EAAE,CAAC,EAAEtlD,EAAEyB,GAAGC,EAAEF,CAAC,SAASE,IAAIF,EAAE,MAAM,IAAI8jD,EAAE,CAAC,EAAE,OAAOtlD,CAAC,CAAC,mBAAmBO,EAAE,CAAC,IAAIZ,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAEY,EAAE,OAAO,EAAE,EAAE,GAAG,KAAK,UAAUA,EAAE,EAAE,EAAE,CAACZ,EAAE,GAAG,KAAK,CAAC,OAAOA,EAAEY,EAAE,MAAM,EAAE,CAAC,EAAE,OAAO,KAAK,WAAW,EAAEA,EAAE,MAAM,EAAE,CAAC,EAAE,OAAO,KAAK,oBAAoBA,EAAE,MAAM,CAAC,EAAE,KAAK,WAAW,CAAC,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,KAAK,eAAe1yB,EAAEZ,CAAC,EAAE,IAAI,EAAEmsD,GAAGvrD,CAAC,EAAEP,EAAE,EAAE,MAAMwB,EAAExB,EAAE,MAAM,EAAE,CAAC,EAAE,OAAO,KAAK,oBAAoBA,EAAE,MAAM,CAAC,EAAE,KAAK,WAAW,CAAC,EAAE,OAAO07B,EAAE,EAAEl6B,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIjB,EAAE,CAAC,YAAY,KAAK,WAAW,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEq/D,GAAG,UAAU,UAAU3oC,GAAE,cAAc2oC,EAAE,EAAE,IAAIC,GAAG,cAAclT,EAAE,CAAC,YAAYpsD,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAEA,EAAE,MAAM,KAAK,MAAM,IAAI,MAAM,iFAAiF,EAAE,GAAG,CAAC,MAAM,QAAQA,EAAE,IAAI,EAAE,MAAM,IAAI,MAAM,sEAAsEA,EAAE,eAAe,EAAE,IAAIZ,EAAE8oD,GAAG,EAAEloD,EAAE,KAAK,OAAO,CAAC,EAAE,GAAG,CAAC+lB,EAAE,YAAY/lB,EAAE,KAAK,MAAM,EAAE,KAAK,EAAEZ,CAAC,EAAE,MAAM,IAAI,MAAM,+BAA+B,KAAK,UAAUY,EAAE,IAAI,EAAE,4DAA4D,EAAE,KAAK,KAAKA,EAAE,KAAK,KAAK,mBAAmB,CAAC,CAAC,EAAE,OAAO,KAAK,IAAI,EAAE,KAAK,UAAU,CAAC,IAAI+rD,GAAG,CAAC,KAAK,KAAK,KAAK,OAAO,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmB/rD,EAAE,CAACA,EAAEwrD,GAAGxrD,CAAC,EAAE,IAAIZ,EAAEY,EAAE,MAAM,EAAE,OAAO,KAAK,KAAK,QAAQ,CAAC,EAAEP,IAAI,CAACL,EAAEK,EAAE,GAAGO,EAAE,EAAE,CAAC,EAAEZ,CAAC,CAAC,KAAKY,EAAEZ,EAAE,CAAC,OAAO00B,GAAGy3B,GAAGvrD,CAAC,EAAE,KAAK,kBAAkB,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,KAAK,KAAK,IAAI,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEs/D,GAAG,UAAU,UAAU5oC,GAAE,cAAc4oC,EAAE,EAAE,IAAIC,GAAG,cAAcnT,EAAE,CAAC,YAAYpsD,EAAE,CAAC,MAAMA,GAAG,KAAK,CAAC,EAAEA,CAAC,EAAE,KAAK,gBAAgB,GAAGA,GAAG,KAAK,KAAK,UAAUA,EAAE,WAAW,KAAK,EAAEA,EAAE,UAAU,KAAK,UAAU,CAAC,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAEZ,EAAE,CAAC,UAAU,KAAK,SAAS,EAAE,OAAO,OAAO,OAAOA,EAAEY,CAAC,EAAEZ,CAAC,CAAC,YAAYY,EAAEZ,EAAE,CAAC,IAAI,EAAEmsD,GAAGvrD,CAAC,EAAEP,EAAE,GAAG,OAAOw5B,GAAGqP,GAAG,EAAE,KAAK,SAAS,EAAE7oC,CAAC,CAAC,CAAC,KAAKO,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,KAAK,eAAe1yB,EAAEZ,CAAC,EAAE,IAAI,EAAEmsD,GAAGvrD,CAAC,EAAEP,EAAE,GAAGwB,EAAE,GAAGC,EAAE+3B,GAAGqP,GAAG,EAAE,KAAK,SAAS,EAAE7oC,EAAEwB,CAAC,EAAE,OAAOo3B,EAAE,EAAE3I,GAAExuB,EAAE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEq+D,GAAG,UAAU,UAAU7oC,GAAE,cAAc6oC,EAAE,EAAE,IAAIC,GAAG,cAAcpT,EAAE,CAAC,YAAYpsD,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,WAAW,KAAK,KAAK,+BAA+B,gBAAgBA,EAAE,iBAAiB,MAAMA,EAAE,YAAY,KAAK,CAAC,IAAIZ,EAAE,KAAKY,EAAE,WAAW,OAAOZ,EAAEY,EAAE,WAAWA,EAAE,aAAa,KAAK,KAAK,gBAAgB,CAACZ,EAAE,IAAI,EAAE,KAAK,gBAAgB,CAACA,CAAC,EAAE,OAAOmmD,GAAGvlD,EAAE,WAAW,CAAC,CAAC,CAAC,KAAK,SAASA,EAAE,SAASomD,GAAG,KAAK,SAAS,UAAU,EAAE,KAAK,UAAUpmD,EAAE,UAAUomD,GAAG,KAAK,UAAU,WAAW,EAAE,KAAK,sBAAsBgF,GAAGprD,EAAE,uBAAuB,KAAK,8BAA8B,EAAE,KAAK,sBAAsBq8D,GAAGr8D,EAAE,qBAAqB,EAAE,KAAK,oBAAoBq8D,GAAGr8D,EAAE,mBAAmB,EAAE,KAAK,qBAAqBmuD,GAAGnuD,EAAE,oBAAoB,EAAE,KAAK,SAASA,EAAE,SAAS,KAAK,gBAAgBA,EAAE,SAAS,KAAK,YAAYA,EAAE,WAAW,CAAC,MAAMA,EAAE,CAAC,KAAK,WAAW,KAAK,UAAU,aAAa,CAAC,KAAK,SAAS,KAAK,SAAS,EAAE,KAAK,MAAM,KAAK,sBAAsB,KAAK,sBAAsB,GAAG,KAAK,oBAAoB,EAAE,KAAK,MAAM,EAAE,CAAC,6BAA6BA,EAAE,CAAC,CAAC,YAAYA,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,KAAK,UAAU1yB,EAAEurD,GAAGvrD,CAAC,EAAEsoC,GAAGtoC,EAAEqgC,GAAGrgC,CAAC,CAAC,GAAG,IAAI,CAAC,CAAC,mBAAmBA,EAAE,CAAC,GAAGA,EAAEwrD,GAAGxrD,CAAC,EAAE,KAAK,aAAa,KAAK,MAAM,CAAC,GAAGA,EAAE,KAAK,SAAS,EAAE,IAAIZ,EAAEmmD,GAAG,KAAK,WAAW,EAAE,GAAGnmD,EAAE,SAASY,EAAE,OAAO,EAAE,MAAM,IAAI+kD,EAAE,oBAAoB,KAAK,mDAAmD/kD,GAAG,EAAE,CAAC,IAAI,EAAE,EAAE,QAAQP,EAAE,EAAEA,EAAEL,EAAE,OAAO,EAAEK,EAAE,CAAC,IAAIwB,EAAE7B,EAAEK,GAAGyB,EAAElB,EAAEP,EAAE,GAAG,GAAGwB,GAAG,MAAMC,GAAG,MAAMD,IAAIC,EAAE,MAAM,IAAI6jD,EAAE,oBAAoB,KAAK,mDAAmD/kD,GAAG,EAAEiB,GAAG,OAAO7B,EAAE,GAAG8B,GAAG,GAAG,CAAC,CAAC,MAAM,CAAClB,EAAE,GAAG,GAAGZ,EAAE,KAAK,SAAS,CAAC,CAAC,KAAKY,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,KAAK,eAAe1yB,EAAEZ,CAAC,EAAE,IAAI,EAAEmsD,GAAGvrD,CAAC,EAAE,EAAE,QAAQ,UAAU,EAAEsoD,GAAG,EAAE,OAAO,GAAG,IAAI7oD,EAAE2pD,GAAG,KAAK,WAAW,KAAK,EAAEjuB,EAAE,EAAE,CAAC,EAAE,IAAI,CAAC,CAAC,EAAE,OAAOA,EAAE17B,EAAE+rD,GAAG,KAAK,mBAAmB,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIxrD,EAAE,CAAC,SAAS,KAAK,SAAS,UAAU,KAAK,UAAU,sBAAsBmrD,GAAG,KAAK,qBAAqB,EAAE,sBAAsBgR,GAAG,KAAK,qBAAqB,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,qBAAqBlO,GAAG,KAAK,oBAAoB,EAAE,SAAS,KAAK,SAAS,YAAY,KAAK,WAAW,EAAE7uD,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEw/D,GAAG,UAAU,YAAY9oC,GAAE,cAAc8oC,EAAE,EAAE,IAAIC,GAAG,cAAcrT,EAAE,CAAC,YAAYpsD,EAAE,CAAC,MAAMA,GAAG,CAAC,CAAC,EAAE,KAAK,gBAAgB,EAAE,CAAC,cAAcA,EAAE,CAAC,MAAM,IAAIglD,EAAE,CAAC,gCAAgChlD,EAAEZ,EAAE,CAAC,GAAGY,GAAG,MAAMZ,GAAG,KAAK,OAAO,KAAK,GAAGY,EAAE,OAAOZ,EAAE,OAAO,OAAO,KAAK,gCAAgCA,EAAEY,CAAC,EAAE,GAAGZ,EAAE,SAAS,EAAE,OAAOY,EAAE,IAAI,EAAEA,EAAE,MAAM,EAAEA,EAAE,OAAOZ,EAAE,MAAM,EAAE,QAAQK,EAAE,EAAEA,EAAEL,EAAE,OAAO,EAAEK,EAAE,CAAC,IAAIwB,EAAEjB,EAAEA,EAAE,OAAOZ,EAAE,OAAOK,GAAGyB,EAAE9B,EAAEK,GAAG,GAAGwB,GAAG,MAAMC,GAAG,MAAMD,EAAE,GAAGC,EAAE,EAAE,EAAE,KAAK,IAAI,UAAUD,IAAI,EAAE,EAAE,KAAKC,CAAC,UAAUA,IAAI,EAAE,EAAE,KAAKD,CAAC,MAAM,CAAC,GAAGA,IAAIC,EAAE,MAAM,IAAI6jD,EAAE,wDAAwD,KAAK,UAAU/kD,CAAC,EAAE,IAAI,KAAK,UAAUZ,CAAC,CAAC,EAAE,EAAE,KAAK6B,CAAC,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,MAAMjB,EAAE,CAAC,GAAG,MAAM,QAAQA,CAAC,GAAG,CAAC,MAAM,QAAQA,EAAE,EAAE,IAAIA,EAAE,CAACwrD,GAAGxrD,CAAC,CAAC,GAAGA,EAAEA,EAAEA,EAAE,OAAO,EAAE,MAAM,IAAI+kD,EAAE,wEAAwE/kD,EAAE,kBAAkB,EAAE,IAAIZ,EAAE,CAAC,EAAE,QAAQ6B,KAAKjB,EAAEiB,GAAG,MAAMA,EAAE,KAAK,MAAM7B,EAAE,KAAK6B,EAAE,EAAE,EAAE,GAAG7B,EAAE4mD,GAAG5mD,CAAC,EAAEA,EAAE,OAAO,EAAE,MAAM,IAAI2lD,EAAE,8EAA8E,KAAK,UAAU/kD,CAAC,IAAI,EAAE,IAAI,EAAEA,EAAE,IAAI,KAAK,KAAKA,EAAE,GAAG,MAAM,CAAC,EAAE,QAAQiB,EAAE,EAAEA,EAAEjB,EAAE,OAAO,EAAEiB,EAAE,CAAC,IAAIC,EAAElB,EAAEiB,IAAI,KAAK,KAAKjB,EAAEiB,GAAG,MAAM,CAAC,EAAE,EAAE,KAAK,gCAAgC,EAAEC,CAAC,CAAC,CAAC,IAAIzB,EAAEO,EAAE,IAAIiB,GAAGA,EAAE,MAAM,EAAEjB,EAAE,QAAQ,IAAI,IAAI,IAAIgmD,GAAGvmD,CAAC,EAAE,SAAS,EAAE,KAAK,gBAAgB,GAAG,KAAK,gBAAgB,EAAE,CAAC,KAAKO,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,GAAG1yB,EAAEA,EAAE,KAAK,gBAAgB,CAAC,IAAI,EAAE,CAAC,EAAEP,EAAEO,EAAE,IAAIiB,GAAGA,EAAE,IAAI,EAAE,GAAGxB,EAAE,QAAQ,IAAI,IAAI,GAAG,CAAC,IAAIwB,EAAEgnD,GAAGxoD,CAAC,EAAE,QAAQyB,KAAKlB,EAAE,CAAC,IAAImB,EAAED,EAAE,KAAK,QAAQE,EAAE,EAAEA,EAAEH,EAAEE,EAAE,EAAEC,EAAEF,EAAEqnD,GAAGrnD,EAAE,CAAC,EAAE,EAAE,KAAKA,CAAC,CAAC,CAAC,OAAO,KAAK,cAAc,CAAC,CAAC,KAAK,CAAC,IAAID,EAAE,GAAG,QAAQG,KAAKpB,EAAE,CAAC,IAAI,EAAEoB,EAAE,KAAK,GAAG,GAAG,KAAK,CAAC,IAAIU,EAAEV,EAAE,MAAM,EAAEU,EAAE,GAAGE,EAAEF,EAAE,MAAM,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,EAAEG,EAAEk5B,EAAE/5B,EAAE,CAAC,CAAC,EAAE,OAAO2mD,GAAGjmD,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,EAAEG,EAAE6xB,GAAG7xB,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEA,EAAEk5B,EAAEl5B,EAAED,CAAC,EAAE,EAAE,KAAKC,CAAC,EAAEhB,EAAE,EAAE,SAAS,EAAE,EAAE,CAAC,IAAIa,EAAEomD,GAAG,EAAE,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,EAAE,EAAE,KAAKp0B,GAAG1yB,EAAEU,CAAC,CAAC,EAAEb,EAAE,EAAE,MAAM,EAAE,KAAKG,CAAC,CAAC,CAAC,IAAIF,EAAE,KAAK,cAAc,CAAC,EAAEC,EAAED,EAAE,KAAK,GAAGD,GAAG,GAAGE,GAAG,KAAK,CAAC,IAAIC,EAAEF,EAAE,MAAM,EAAEE,EAAE,OAAOU,EAAEV,EAAE,EAAE,GAAG,EAAE,CAACU,CAAC,EAAE,OAAOV,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,CAAC,EAAEF,EAAEi6B,EAAErH,GAAGqH,EAAEj6B,EAAE,CAAC,GAAGY,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,SAASX,EAAE,EAAE,CAAC,IAAIC,EAAE,CAACD,EAAE,CAAC,EAAE,OAAO+mD,GAAG,EAAE/mD,EAAE,CAAC,CAAC,EAAED,EAAE4yB,GAAG5yB,EAAEE,CAAC,CAAC,EAAE,OAAOF,CAAC,CAAC,KAAM,QAAO,KAAK,cAAclB,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAACA,EAAEA,EAAE,IAAIZ,EAAEY,EAAE,IAAI,KAAKZ,EAAE,KAAKA,EAAEY,EAAE,GAAG,MAAM,CAAC,EAAE,QAAQP,EAAE,EAAEA,EAAEO,EAAE,OAAO,EAAEP,EAAE,CAAC,IAAIwB,EAAEjB,EAAEP,IAAI,KAAK,KAAKO,EAAEP,GAAG,MAAM,CAAC,EAAEL,EAAE,KAAK,gCAAgCA,EAAE6B,CAAC,CAAC,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQxB,KAAKO,EAAEP,GAAG,MAAMA,EAAE,KAAK,MAAM,EAAE,KAAKA,EAAE,EAAE,EAAE,OAAO,EAAEumD,GAAG,CAAC,EAAE,EAAE,SAAS,EAAE5mD,EAAE,EAAE,OAAOA,CAAC,EAAEA,EAAE,CAAC,IAAI,EAAE,OAAOA,CAAC,EAAEA,CAAC,CAAC,YAAYY,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,GAAGtzB,GAAG,KAAK,OAAO,KAAK,GAAG,CAAC,MAAM,QAAQA,CAAC,EAAE,MAAM,IAAI2lD,EAAE,2BAA2B,EAAE,GAAG,CAAC,MAAM,QAAQ/kD,CAAC,EAAE,MAAM,IAAI+kD,EAAE,6BAA6B,EAAE,GAAG3lD,EAAE,SAASY,EAAE,OAAO,MAAM,IAAI+kD,EAAE,mGAAmG/kD,EAAE,aAAaZ,EAAE,SAAS,EAAE,GAAGA,EAAE,MAAMK,GAAGA,GAAG,IAAI,EAAE,OAAO,KAAKL,EAAEA,EAAE,IAAIK,GAAGA,GAAG,KAAKA,EAAEojC,GAAGpjC,EAAE,CAAC,CAAC,EAAE,IAAI,EAAEL,EAAE,GAAG,QAAQK,EAAE,EAAEA,EAAEL,EAAE,OAAO,EAAE,EAAEK,EAAE,EAAEwmC,GAAG,EAAE7mC,EAAEK,EAAE,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,EAAEigE,GAAG,cAAcD,EAAE,CAAC,YAAYz/D,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,cAAcA,EAAE,CAAC,OAAO0yB,EAAE,IAAI,CAAC,IAAItzB,EAAEY,EAAE,GAAG,MAAM,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEZ,EAAE24B,EAAE34B,EAAEY,EAAE,EAAE,EAAE,OAAOZ,CAAC,CAAC,CAAC,CAAC,EAAEsgE,GAAG,UAAU,MAAMhpC,GAAE,cAAcgpC,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAYz/D,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,cAAcA,EAAE,CAAC,OAAO0yB,EAAE,IAAI,CAAC,IAAItzB,EAAEY,EAAE,GAAG,MAAM,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEZ,EAAEi5B,EAAEj5B,EAAEY,EAAE,EAAE,EAAE,OAAOZ,CAAC,CAAC,CAAC,CAAC,EAAEugE,GAAG,UAAU,WAAWjpC,GAAE,cAAcipC,EAAE,EAAE,IAAIC,GAAG,cAAcH,EAAE,CAAC,YAAYz/D,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,cAAcA,EAAE,CAAC,OAAO0yB,EAAE,IAAI,CAAC,IAAItzB,EAAEY,EAAE,GAAG,MAAM,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEZ,EAAE24B,EAAE34B,EAAEY,EAAE,EAAE,EAAE,OAAOq4B,EAAE,EAAEr4B,EAAE,OAAOZ,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEwgE,GAAG,UAAU,UAAUlpC,GAAE,cAAckpC,EAAE,EAAE,IAAIC,GAAG,cAAcJ,EAAE,CAAC,YAAYz/D,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,cAAcA,EAAE,CAAC,OAAO0yB,EAAE,IAAI,CAAC,IAAItzB,EAAEY,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEZ,EAAE+nC,GAAG/nC,EAAEY,EAAE,EAAE,EAAE,OAAOZ,CAAC,CAAC,CAAC,CAAC,EAAEygE,GAAG,UAAU,UAAUnpC,GAAE,cAAcmpC,EAAE,EAAE,IAAIC,GAAG,cAAcL,EAAE,CAAC,YAAYz/D,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,cAAcA,EAAE,CAAC,OAAO0yB,EAAE,IAAI,CAAC,IAAItzB,EAAEY,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEZ,EAAEsoC,GAAGtoC,EAAEY,EAAE,EAAE,EAAE,OAAOZ,CAAC,CAAC,CAAC,CAAC,EAAE0gE,GAAG,UAAU,UAAUppC,GAAE,cAAcopC,EAAE,EAAE,IAAIC,GAAG,cAAcN,EAAE,CAAC,YAAYz/D,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,aAAa,GAAGA,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,KAAKA,EAAE,MAAM,KAAK,KAAK,aAAaA,EAAE,KAAK,KAAK,gBAAgB,GAAG,KAAK,gBAAgB,EAAE,CAAC,MAAMA,EAAE,CAAC,GAAG,EAAE,MAAM,QAAQA,CAAC,GAAG,MAAM,QAAQA,EAAE,EAAE,IAAIA,EAAE,SAAS,EAAE,MAAM,IAAI+kD,EAAE,uEAAuE,EAAE/kD,EAAEA,EAAE,IAAIZ,EAAE,GAAG,QAAQK,KAAKO,EAAE,GAAGP,GAAG,KAAK,CAACL,EAAE,GAAG,KAAK,CAAC,GAAGA,EAAE,OAAO,IAAI,EAAE,CAAC,EAAE,QAAQK,EAAE,EAAEA,EAAEO,EAAE,OAAO,EAAEP,EAAE,CAAC,IAAIwB,EAAEjB,EAAEP,GAAG,MAAM,EAAEwB,EAAE,OAAO,KAAK,KAAK,CAAC,EAAE,IAAIC,EAAE,GAAG,QAAQC,KAAK,EAAE,GAAG4kB,EAAE,YAAY5kB,EAAEF,CAAC,EAAE,CAACC,EAAE,GAAG,KAAK,CAACA,GAAG,EAAE,KAAKD,CAAC,CAAC,CAAC,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI8jD,EAAE,4GAA4G,KAAK,UAAU/kD,CAAC,CAAC,CAAC,CAAC,cAAcA,EAAE,CAAC,OAAO0yB,EAAE,IAAIq2B,GAAG/oD,EAAE,KAAK,IAAI,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAAC,GAAG,EAAE,MAAM,QAAQA,CAAC,GAAG,MAAM,QAAQA,EAAE,EAAE,GAAG,MAAM,IAAI+kD,EAAE,6DAA6D,EAAE,IAAI3lD,EAAEY,EAAE,EAAEZ,EAAE,GAAG,MAAM,EAAEK,EAAE,KAAK,KAAK,EAAE,EAAE,OAAO,KAAK,KAAK,KAAK,KAAK,QAAQwB,KAAK7B,EAAE,MAAM,CAAC,EAAE,CAAC,GAAG,EAAEK,IAAI,MAAMwB,EAAExB,IAAI,KAAK,CAAC,EAAEA,GAAG,KAAK,KAAK,CAAC,EAAEA,IAAIwB,EAAExB,EAAE,CAAC,OAAO,CAAC,CAAC,YAAYO,EAAEZ,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,KAAK,GAAG,CAAC,MAAM,QAAQA,CAAC,EAAE,MAAM,IAAI2lD,EAAE,2CAA2C,EAAE,GAAG,CAAC,MAAM,QAAQ/kD,CAAC,EAAE,MAAM,IAAI+kD,EAAE,6CAA6C,EAAE,GAAG3lD,EAAE,SAASY,EAAE,OAAO,MAAM,IAAI+kD,EAAE,mCAAmC3lD,EAAE,qCAAqCY,EAAE,SAAS,EAAE,OAAO0yB,EAAE,IAAI,CAAC,IAAI,EAAE,GAAG,GAAGtzB,EAAE,QAAQ8B,GAAG,CAAC,GAAGA,GAAG,KAAK,CAAC,EAAE,GAAG,MAAM,CAAC,CAAC,EAAE,EAAE,OAAO,KAAK,IAAIzB,EAAE,CAAC,EAAE,QAAQyB,EAAE,EAAEA,EAAElB,EAAE,OAAO,EAAEkB,EAAE9B,EAAE8B,IAAI,KAAKzB,EAAE,KAAKiwB,GAAE8Y,GAAGxoC,EAAEkB,EAAE,EAAE,MAAM,CAAC,EAAE9B,EAAE8B,GAAG,KAAKlB,EAAEkB,GAAG,KAAKzB,EAAE,KAAKojC,GAAGzjC,EAAE8B,GAAG,EAAE,CAAC,EAAEzB,EAAE,KAAKL,EAAE8B,EAAE,EAAE,IAAID,EAAEw6B,GAAGh8B,EAAE,KAAK,IAAI,EAAE,OAAOs5B,GAAG93B,EAAE,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIjB,EAAE,CAAC,KAAK,KAAK,IAAI,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAE+/D,GAAG,UAAU,cAAcrpC,GAAE,cAAcqpC,EAAE,EAAE,SAASC,GAAG9gE,EAAE,EAAE,CAAC,KAAKA,EAAE,GAAGA,GAAG,EAAE,OAAOA,CAAC,CAAC,SAAS+gE,GAAG/gE,EAAE,EAAEE,EAAE,CAAC,GAAGF,EAAE,MAAM,OAAO,GAAG,EAAE,MAAM,OAAO,EAAE,MAAM,IAAI8lD,GAAG,kEAAkE,EAAE,GAAGj/B,EAAE,OAAO7mB,EAAE,MAAM,QAAQ,EAAE,IAAI,uDAAuDA,EAAE,MAAM,QAAQ,EAAE6mB,EAAE,OAAO7mB,EAAE,MAAM,QAAQ,EAAE,IAAI,uDAAuD,EAAE,MAAM,QAAQ,EAAE,OAAOE,GAAG,WAAWA,EAAE,CAACA,EAAEA,CAAC,GAAGF,EAAE,QAAQ,aAAa,EAAE,QAAQ,YAAY,MAAM,IAAI8lD,GAAG,6DAA6D,EAAE,IAAIxlD,EAAEN,EAAE,MAAM,OAAOO,EAAE,EAAE,MAAM,OAAOL,GAAG,OAAOA,EAAE,CAACI,EAAE,EAAEC,EAAE,CAAC,GAAG,IAAI,EAAEL,EAAE,OAAOszB,EAAE,IAAI,CAAC,IAAI,EAAE,GAAGlzB,EAAEC,EAAE,CAAC,EAAED,EAAEC,EAAE,IAAI2B,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAED,EAAE,KAAK,CAAC,EAAE,EAAE+5B,EAAE,EAAE,EAAE,MAAM,OAAO/5B,CAAC,CAAC,CAAC,SAAS3B,EAAED,EAAE,CAAC,EAAEC,EAAED,EAAE,IAAI4B,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAED,EAAE,KAAK,CAAC,EAAElC,EAAEi8B,EAAEj8B,EAAEA,EAAE,MAAM,OAAOkC,CAAC,CAAC,CAAC,MAAM,EAAE,EAAE,IAAID,EAAE,GAAGjC,EAAE,MAAM,SAAS,GAAG,EAAE,MAAM,SAAS,EAAE,EAAE,KAAK,EAAE,GAAGiC,EAAEihC,GAAG/J,EAAEn5B,EAAE,CAAC,EAAE,EAAE,EAAE,EAAEiC,EAAEihC,GAAG/J,EAAEvE,GAAG50B,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,EAAE,EAAE,MAAM,CAAC,IAAIkC,EAAE,EAAE,KAAKlC,EAAE,MAAM,OAAO,EAAEmC,EAAE,EAAE,KAAK,EAAE,MAAM,OAAO,EAAEF,EAAE4wB,GAAG7yB,EAAE,EAAEkC,EAAEC,CAAC,CAAC,CAAC,GAAG,EAAE,EAAE,CAAC,IAAID,EAAE5B,EAAEC,EAAE2B,EAAE5B,EAAEC,EAAE,EAAE2B,EAAE5B,EAAE,EAAE,IAAI6B,EAAE,CAAC,EAAE,QAAQS,EAAEV,EAAEU,EAAEV,EAAE,EAAE,EAAEU,EAAET,EAAE,KAAKS,CAAC,EAAEX,EAAEstC,GAAGttC,EAAEE,CAAC,CAAC,CAAC,OAAOF,EAAE,MAAM,SAAS,IAAIA,EAAE0hC,GAAG1hC,EAAE,CAAC,GAAGA,CAAC,CAAC,CAAC,CAAC,IAAI++D,GAAG,cAAcT,EAAE,CAAC,YAAYz/D,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,KAAKA,EAAE,KAAK,KAAK,UAAUA,EAAE,WAAW,KAAK,GAAGA,EAAE,UAAU,KAAK,gBAAgB,GAAG,KAAK,gBAAgB,EAAE,CAAC,MAAMA,EAAE,CAAC+lB,EAAE,OAAO,MAAM,QAAQ/lB,CAAC,GAAGA,EAAE,SAAS,GAAG,MAAM,QAAQA,EAAE,EAAE,GAAG,MAAM,QAAQA,EAAE,EAAE,EAAE,IAAI,+DAA+D,EAAE,IAAIZ,EAAEY,EAAE,GAAG,EAAEA,EAAE,GAAG,GAAGZ,EAAE,OAAO,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI4lD,GAAG,8DAA8D,EAAE,IAAIvlD,EAAE,KAAK,cAAcL,EAAE,CAAC,EAAE,GAAGA,EAAEK,EAAE,MAAM,EAAEA,EAAE,IAAI,MAAM,IAAIslD,EAAE,8BAA8B3lD,EAAEK,EAAE,WAAW,EAAEA,EAAE,KAAK,CAAC,CAAC,cAAcO,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI+kD,EAAE,oEAAoE/kD,EAAE,kBAAkB,EAAE,IAAIZ,EAAEY,EAAE,GAAG,EAAEA,EAAE,GAAGP,EAAE,OAAO,MAAM,QAAQ,KAAK,IAAI,EAAEA,EAAE,KAAK,KAAK,IAAI,CAACwB,EAAEC,IAAI8+D,GAAG/+D,EAAEjB,EAAEkB,GAAG,MAAM,MAAM,CAAC,EAAEzB,EAAE,CAACugE,GAAG,KAAK,KAAK5gE,EAAE,MAAM,MAAM,EAAE4gE,GAAG,KAAK,KAAK,EAAE,MAAM,MAAM,CAAC,EAAE,KAAK,YAAY5gE,EAAEy1D,GAAGz1D,EAAEK,EAAE,EAAE,EAAE,EAAEo1D,GAAG,EAAEp1D,EAAE,EAAE,GAAGwgE,GAAG7gE,EAAE,EAAEK,CAAC,CAAC,CAAC,cAAcO,EAAEZ,EAAE,CAAC,IAAI,EAAE,OAAO,MAAM,QAAQ,KAAK,IAAI,EAAE,EAAE,KAAK,KAAK,EAAE,CAAC4gE,GAAG,KAAK,KAAKhgE,EAAE,MAAM,EAAEggE,GAAG,KAAK,KAAK5gE,EAAE,MAAM,CAAC,EAAE,CAAC,CAAC,mBAAmBY,EAAE,CAAC+lB,EAAE,OAAO,MAAM,QAAQ/lB,CAAC,GAAGA,EAAE,SAAS,GAAG,MAAM,QAAQA,EAAE,EAAE,GAAG,MAAM,QAAQA,EAAE,EAAE,EAAE,IAAI,+DAA+D,EAAE,IAAIZ,EAAEY,EAAE,GAAG,MAAM,EAAE,EAAEA,EAAE,GAAG,MAAM,EAAE,GAAGZ,EAAE,OAAO,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI4lD,GAAG,8DAA8D,EAAE,IAAIvlD,EAAE,KAAK,cAAcL,EAAE,CAAC,EAAEA,EAAE,OAAOK,EAAE,GAAG,CAAC,EAAE,EAAE,OAAOA,EAAE,GAAG,CAAC,EAAE,EAAE,OAAO,EAAE,CAAC,EAAE,IAAIwB,EAAE7B,EAAE,OAAO,CAAC,EAAE,OAAO6B,EAAE,SAAS,GAAGA,EAAE,KAAK,CAAC,EAAEA,CAAC,CAAC,YAAYjB,EAAEZ,EAAE,CAAC,OAAO,IAAI,CAAC,WAAW,CAAC,IAAIY,EAAE,CAAC,KAAK,KAAK,KAAK,UAAU,KAAK,SAAS,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEkgE,GAAG,UAAU,MAAMxpC,GAAE,cAAcwpC,EAAE,EAAE,IAAIC,GAAG,cAAc/T,EAAE,CAAC,YAAYpsD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,gBAAgB,GAAG,KAAK,OAAOA,EAAE,MAAM,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAEZ,EAAE,CAAC,OAAO,KAAK,MAAM,EAAE,OAAO,OAAO,OAAOA,EAAEY,CAAC,EAAEZ,CAAC,CAAC,KAAKY,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,KAAK,eAAe1yB,EAAEZ,CAAC,EAAE,IAAI,EAAEmsD,GAAGvrD,CAAC,EAAE,OAAO2pD,GAAG,IAAI5xB,EAAEkxB,GAAG,EAAE,MAAM,EAAE,KAAK,MAAM,EAAE,CAAC,EAAE,IAAI,EAAE7pD,EAAE,UAAU,EAAE,CAAC,CAAC,CAAC,CAAC,EAAE+gE,GAAG,UAAU,gBAAgBzpC,GAAE,cAAcypC,EAAE,EAAE,IAAIC,GAAG,cAAchU,EAAE,CAAC,YAAYpsD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,gBAAgB,GAAG,KAAK,KAAKA,EAAE,IAAI,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAEZ,EAAE,CAAC,KAAK,KAAK,IAAI,EAAE,OAAO,OAAO,OAAOA,EAAEY,CAAC,EAAEZ,CAAC,CAAC,KAAKY,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,KAAK,eAAe1yB,EAAEZ,CAAC,EAAE,IAAI,EAAEmsD,GAAGvrD,CAAC,EAAE,OAAO,KAAK,KAAK,GAAG,KAAK,KAAK,EAAE2pD,GAAG,IAAI,CAAC,IAAI1oD,EAAE,KAAK,KAAK,KAAK,MAAM,EAAE,KAAK,KAAK,EAAE,OAAOo3B,EAAE,EAAE4wB,GAAG,EAAE,MAAM,EAAEhoD,CAAC,CAAC,CAAC,EAAE,IAAI,EAAE7B,EAAE,UAAU,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEghE,GAAG,UAAU,kBAAkB1pC,GAAE,cAAc0pC,EAAE,EAAE,IAAIC,GAAG,cAAcjU,EAAE,CAAC,YAAYpsD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,gBAAgB,GAAG,KAAK,KAAKA,EAAE,KAAK,KAAK,WAAWA,EAAE,UAAU,CAAC,eAAeA,EAAE,CAAC,OAAO,KAAK,YAAYurD,GAAGvrD,CAAC,EAAE,KAAK,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAEZ,EAAE,CAAC,KAAK,KAAK,IAAI,EAAE,OAAO,OAAO,OAAOA,EAAEY,CAAC,EAAEZ,CAAC,CAAC,KAAKY,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,GAAG,KAAK,KAAK,GAAG,KAAK,KAAK,EAAE,CAAC,IAAI,EAAE,KAAK,eAAe1yB,CAAC,EAAE,OAAO2pD,GAAG,IAAI,CAAC,IAAI1oD,EAAEsqD,GAAGvrD,CAAC,EAAEkB,EAAE,mBAAmBC,EAAE,mBAAmBC,EAAE,CAACF,EAAEC,EAAEE,EAAEsiC,GAAGqH,GAAG,CAAC,EAAE,KAAK,IAAI,EAAE3pC,EAAEinD,GAAGjnD,EAAE,SAAS,EAAE,IAAIS,IAAI,EAAE,KAAK,OAAO,EAAE,KAAK,KAAKV,GAAG,KAAK,IAAIW,EAAE,CAACD,EAAEV,EAAE,KAAK,KAAKY,EAAE+1B,EAAEM,EAAEp3B,EAAEI,CAAC,EAAEg3B,EAAEN,EAAE12B,EAAE,EAAE,EAAED,CAAC,CAAC,EAAE,OAAO22B,EAAEM,EAAEr2B,EAAEF,CAAC,EAAEC,CAAC,CAAC,EAAE,IAAIwpD,GAAGvrD,CAAC,EAAEZ,EAAE,UAAU,EAAE,CAAC,CAAC,OAAOY,CAAC,CAAC,CAAC,CAAC,EAAEqgE,GAAG,UAAU,eAAe3pC,GAAE,cAAc2pC,EAAE,EAAE,SAASC,GAAGphE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,KAAK,CAAC,IAAI,EAAE,GAAGP,EAAE,OAAO,EAAE,EAAEs9B,GAAGt9B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,UAAUP,EAAE,OAAO,EAAE,EAAEw9B,GAAGx9B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,UAAUP,EAAE,OAAO,EAAE,EAAE09B,GAAG19B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,MAAO,OAAM,IAAIulD,GAAG,2DAA2D9lD,EAAE,UAAU,EAAE,OAAO,CAAC,CAAC,SAASqhE,GAAGrhE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,KAAK,CAAC,OAAOizB,EAAE,IAAI,CAAC,IAAI,EAAEsV,GAAG9oC,EAAEM,CAAC,EAAE,EAAE,EAAE,KAAK2B,EAAE,EAAE,SAAS,MAAM,CAACm/D,GAAGphE,EAAE,EAAEiC,EAAE/B,EAAE,EAAEK,CAAC,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,CAAC,SAASq/D,GAAGthE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,KAAK,CAAC,OAAOizB,EAAE,IAAI,CAAC,IAAI,EAAEsV,GAAG9oC,EAAEM,CAAC,EAAE,EAAE,EAAE,KAAK2B,EAAE,EAAE,SAASC,EAAE,CAAC,EAAE,QAAQc,KAAKgmD,GAAG,EAAEhpD,EAAE,IAAI,EAAEM,EAAE,QAAQ0C,CAAC,IAAI,GAAGd,EAAE,KAAK,CAAC,EAAEA,EAAE,KAAKlC,EAAE,MAAMgD,EAAE,EAAE,IAAIb,EAAE85B,EAAE,EAAE/5B,CAAC,EAAEU,EAAEq5B,EAAEh6B,EAAEC,CAAC,EAAEW,EAAE,GAAG,KAAK,KAAKo5B,EAAE,EAAE/5B,CAAC,EAAEY,EAAE5C,GAAG,KAAK,KAAK+7B,EAAE/7B,EAAEgC,CAAC,EAAE,MAAM,CAACk/D,GAAGphE,EAAEmC,EAAES,EAAEE,EAAED,EAAEtC,CAAC,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,CAAC,SAASs/D,GAAGvhE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,KAAK,CAAC,OAAOsmB,EAAE,YAAYvmB,EAAE,MAAM,EAAE,KAAK,EAAE0oD,GAAG,EAAEhpD,EAAE,KAAK,CAAC,CAAC,EAAEqhE,GAAGrhE,EAAE,EAAEE,EAAEI,EAAEC,CAAC,EAAE+gE,GAAGthE,EAAE,EAAEE,EAAEI,EAAEC,CAAC,CAAC,CAAC,IAAIihE,GAAG,cAActU,EAAE,CAAC,YAAYpsD,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,gBAAgB,GAAG,KAAK,KAAKA,EAAE,MAAM,KAAK,GAAGA,EAAE,KAAK,KAAK,SAASA,EAAE,UAAU,KAAK,IAAIA,EAAE,SAAS,KAAK,QAAQA,EAAE,SAAS,KAAK,KAAKA,EAAE,QAAQ,KAAK,OAAOA,EAAE,QAAQ,KAAK,GAAGA,EAAE,OAAO,KAAK,MAAMA,EAAE,OAAO,KAAK,GAAGA,EAAE,MAAM,KAAK,gBAAgBorD,GAAGprD,EAAE,iBAAiB,OAAO,EAAE,KAAK,iBAAiBorD,GAAGprD,EAAE,kBAAkB,MAAM,EAAE,KAAK,sBAAsBorD,GAAGprD,EAAE,uBAAuB,OAAO,EAAE,KAAK,0BAA0BorD,GAAGprD,EAAE,2BAA2B,MAAM,EAAE,KAAK,eAAemuD,GAAGnuD,EAAE,cAAc,EAAE,KAAK,gBAAgBmuD,GAAGnuD,EAAE,eAAe,EAAE,KAAK,gBAAgBq8D,GAAGr8D,EAAE,eAAe,EAAE,KAAK,iBAAiBq8D,GAAGr8D,EAAE,gBAAgB,CAAC,CAAC,MAAMA,EAAE,CAACA,EAAEwrD,GAAGxrD,CAAC,EAAE,IAAIZ,EAAE,KAAK,MAAM,EAAE,KAAK,KAAK,KAAK,KAAKY,EAAE,OAAO,EAAEA,EAAEZ,GAAG,GAAG,GAAG,KAAK,MAAM,IAAI2lD,EAAE,QAAQ3lD,gGAAgG,KAAK,UAAUY,CAAC,IAAI,EAAE,KAAK,UAAU,CAAC,IAAI+rD,GAAG,CAAC,KAAK/rD,EAAE,OAAO,KAAK,CAAC,CAACZ,GAAG,CAAC,CAAC,CAAC,CAAC,EAAE,IAAIK,EAAE,CAAC,CAAC,EAAE,KAAK,QAAQ,KAAK,MAAM,KAAK,UAAU,QAAQA,EAAE,KAAK,KAAK,iBAAiB,KAAK,iBAAiB,GAAG,KAAK,eAAe,GAAG,KAAK,SAAS,KAAK,KAAK,KAAK,UAAU,OAAOA,EAAE,KAAK,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,GAAG,KAAK,WAAW,KAAK,UAAU,cAAcA,EAAE,KAAK,KAAK,sBAAsB,KAAK,EAAE,EAAE,KAAK,eAAe,KAAK,UAAU,kBAAkBA,EAAE,KAAK,KAAK,0BAA0B,KAAK,EAAE,EAAE,KAAK,MAAM,EAAE,CAAC,KAAKO,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,IAAI,EAAEtzB,EAAE,UAAU,KAAK,GAAGA,EAAE,SAASK,EAAE8rD,GAAGvrD,CAAC,EAAEiB,EAAExB,EAAE,MAAMyB,EAAED,EAAE,OAAOE,EAAE+mD,GAAG,EAAEhnD,CAAC,EAAEE,EAAE,KAAK,MAAM,EAAE,KAAK,KAAK,KAAK,KAAKF,EAAEC,EAAE,OAAOC,EAAE,CAAC,EAAE,IAAI,EAAE+jD,GAAG,EAAEjkD,CAAC,EAAE,EAAEE,GAAGH,EAAEG,GAAG,IAAIU,EAAEX,EAAE,MAAM,EAAEW,EAAE,KAAK,EAAE,IAAI,EAAE,CAACikB,EAAE,YAAYjkB,EAAEomD,GAAG,EAAEhnD,CAAC,EAAE,MAAM,EAAEA,EAAE,CAAC,CAAC,EAAEc,EAAE,IAAI,CAAC,GAAG,EAAE,CAAC,IAAIiC,EAAEk3B,EAAE,KAAK,WAAW,KAAK,EAAE,CAAC,EAAEt3B,EAAEs3B,EAAE,KAAK,eAAe,KAAK,EAAE,CAAC,EAAEr3B,EAAE,KAAK,OAAOq3B,EAAE,KAAK,KAAK,KAAK,EAAE,CAAC,EAAE,KAAKp3B,EAAE,KAAK,MAAMo3B,EAAE,KAAK,MAAM,KAAK,EAAE,CAAC,EAAE,KAAK,OAAOmlC,GAAG7gE,EAAEwE,EAAEJ,EAAEC,EAAEC,EAAE,KAAK,OAAO,CAAC,KAAM,QAAOu8D,GAAG7gE,EAAE,KAAK,WAAW,KAAK,EAAE,KAAK,eAAe,KAAK,EAAE,KAAK,MAAM,KAAK,KAAK,KAAK,KAAK,KAAK,EAAE,KAAK,OAAO,KAAK,KAAK,KAAK,MAAM,KAAK,EAAE,KAAK,OAAO,CAAC,EAAE,GAAG,CAAC,EAAE,OAAOuC,EAAE,EAAE,GAAG,CAACC,EAAEC,EAAEkB,CAAC,EAAEq9D,GAAGhhE,EAAE,KAAK,MAAM,KAAK,EAAE,KAAK,KAAK,KAAK,EAAE0B,EAAE,KAAK,OAAO,EAAEkC,EAAE,CAACY,EAAEJ,EAAEC,IAAI,CAAC4uB,EAAE,IAAI,CAAC,IAAI3uB,EAAE,EAAED,EAAEE,EAAEC,EAAE,KAAK,EAAEyC,EAAE2xB,EAAEsN,GAAG3hC,EAAEH,CAAC,EAAEE,CAAC,EAAEE,EAAE,MAAM0hC,GAAG3hC,EAAE0C,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,OAAYrD,EAAE,KAAK,WAAWnB,EAAE,KAAK,QAAQ,EAAEmB,EAAE,KAAK,eAAeD,EAAE,KAAK,QAAQ,EAAMnB,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIjC,EAAE,CAAC,KAAK,KAAK,KAAK,SAAS,KAAK,SAAS,QAAQ,KAAK,QAAQ,OAAO,KAAK,OAAO,MAAM,KAAK,MAAM,gBAAgBmrD,GAAG,KAAK,eAAe,EAAE,iBAAiBA,GAAG,KAAK,gBAAgB,EAAE,sBAAsBA,GAAG,KAAK,qBAAqB,EAAE,0BAA0BA,GAAG,KAAK,yBAAyB,EAAE,gBAAgBgR,GAAG,KAAK,eAAe,EAAE,iBAAiBA,GAAG,KAAK,gBAAgB,EAAE,eAAelO,GAAG,KAAK,cAAc,EAAE,gBAAgBA,GAAG,KAAK,eAAe,CAAC,EAAE7uD,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAE0gE,GAAG,UAAU,qBAAqBhqC,GAAE,cAAcgqC,EAAE,EAAE,IAAIC,GAAG,cAAcvU,EAAE,CAAC,YAAYpsD,EAAE,CAAC,GAAGA,GAAG,OAAOA,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,KAAKA,EAAE,MAAM,KAAK,GAAGA,EAAE,KAAK,OAAO,KAAK,MAAM,UAAU,GAAG,CAAC,OAAO,UAAU,KAAK,IAAI,EAAE,MAAM,IAAI,MAAM,gDAAgD,KAAK,MAAM,UAAU,MAAM,QAAQ,KAAK,IAAI,GAAG,QAAQZ,KAAK,KAAK,KAAK,GAAG,CAAC,OAAO,UAAUA,CAAC,EAAE,MAAM,IAAI,MAAM,0DAA0D,KAAK,UAAU,KAAK,IAAI,GAAG,MAAO,OAAM,IAAI,MAAM,wEAAwE,KAAK,UAAU,KAAK,IAAI,GAAG,EAAE,KAAK,QAAQY,EAAE,SAAS,KAAK,KAAKA,EAAE,QAAQ,KAAK,OAAOA,EAAE,QAAQ,KAAK,GAAGA,EAAE,OAAO,KAAK,MAAMA,EAAE,OAAO,KAAK,GAAGA,EAAE,MAAM,KAAK,gBAAgBorD,GAAGprD,EAAE,iBAAiB,OAAO,EAAE,KAAK,iBAAiBorD,GAAGprD,EAAE,kBAAkB,MAAM,EAAE,KAAK,gBAAgBq8D,GAAGr8D,EAAE,eAAe,EAAE,KAAK,iBAAiBq8D,GAAGr8D,EAAE,gBAAgB,EAAE,KAAK,gBAAgB,EAAE,CAAC,MAAMA,EAAE,CAACA,EAAEwrD,GAAGxrD,CAAC,EAAE,IAAIZ,EAAEY,EAAE,OAAO,OAAO,KAAK,MAAM,WAAW,KAAK,KAAK,CAAC,KAAK,IAAI,GAAG,QAAQiB,EAAE,EAAEA,EAAE,KAAK,KAAK,OAAO,EAAEA,EAAE,KAAK,KAAKA,GAAG,IAAI,KAAK,KAAKA,IAAI7B,GAAG,QAAQ6B,KAAK,KAAK,KAAK,GAAGA,EAAE,GAAGA,GAAG7B,EAAE,MAAM,IAAI,MAAM,iBAAiB6B,GAAG,EAAE,GAAG,KAAK,KAAK,SAAS+kD,GAAG,KAAK,IAAI,EAAE,OAAO,MAAM,IAAI,MAAM,4BAA4B,KAAK,MAAM,EAAE,IAAI,EAAE,KAAK,KAAK,IAAI/kD,GAAGjB,EAAEiB,EAAE,EAAExB,EAAE,GAAG,KAAK,MAAM,KAAK,MAAM,KAAK,UAAU,QAAQ,EAAE,UAAU,KAAK,iBAAiB,KAAK,iBAAiBA,CAAC,EAAE,KAAK,MAAM,KAAK,KAAK,OAAO,KAAK,KAAK,KAAK,UAAU,OAAO,EAAE,UAAU,KAAK,gBAAgB,KAAK,gBAAgBA,CAAC,EAAE,KAAK,KAAK,KAAK,KAAK,MAAM,EAAE,CAAC,KAAKO,EAAEZ,EAAE,CAAC,IAAI,EAAEmsD,GAAGvrD,CAAC,EAAEP,EAAE,EAAE,MAAMwB,EAAExB,EAAE,OAAO,OAAOizB,EAAE,IAAI,CAAC,GAAG,CAAC,KAAKvxB,EAAE,SAASC,CAAC,EAAE4mC,GAAG,EAAE,KAAK,KAAK,EAAE,EAAE3mC,EAAE8jD,GAAG,EAAElkD,CAAC,EAAE,QAAQ,KAAK,KAAK,KAAKI,EAAE,GAAG5B,EAAE,GAAG,IAAIqC,EAAE,GAAG,GAAG,MAAM,EAAE,MAAM,SAASb,EAAEk6B,EAAE,EAAE95B,CAAC,EAAE,EAAEU,EAAE,KAAK,MAAMD,EAAE,KAAK,MAAM,KAAK,CAAC,EAAE,KAAKE,EAAE,KAAK,OAAOF,EAAE,KAAK,KAAK,KAAK,CAAC,EAAE,KAAKG,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEjB,EAAE,EAAE,EAAE,KAAK,KAAK,QAAQ,CAAC,IAAI,IAAIgB,EAAE,KAAKxC,EAAE,EAAE,EAAEyC,EAAE,KAAK,CAAC,IAAID,EAAE,KAAK,CAAC,EAAEC,EAAE,KAAKzC,EAAE,EAAE,GAAG,OAAO0B,EAAE8hC,GAAG9hC,EAAEc,CAAC,EAAEb,EAAE6hC,GAAG7hC,EAAEa,CAAC,EAAEF,GAAG,OAAOA,EAAEkhC,GAAGlhC,EAAEG,CAAC,GAAGF,GAAG,OAAOA,EAAEihC,GAAGjhC,EAAEE,CAAC,GAAGo+D,GAAG,EAAEn/D,EAAEC,EAAEY,EAAED,EAAE,KAAK,OAAO,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAI/B,EAAE,CAAC,KAAK,KAAK,KAAK,QAAQ,KAAK,QAAQ,OAAO,KAAK,OAAO,MAAM,KAAK,MAAM,gBAAgBmrD,GAAG,KAAK,eAAe,EAAE,iBAAiBA,GAAG,KAAK,gBAAgB,EAAE,gBAAgBgR,GAAG,KAAK,eAAe,EAAE,iBAAiBA,GAAG,KAAK,gBAAgB,CAAC,EAAE/8D,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAE2gE,GAAG,UAAU,qBAAqBjqC,GAAE,cAAciqC,EAAE,EAAE,SAASC,GAAG1hE,EAAE,EAAEE,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,GAAGxzB,EAAE,OAAO,EAAE,MAAM,IAAI6lD,EAAE,kEAAkE7lD,EAAE,gBAAgB,EAAE,GAAG,GAAG,OAAO,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,GAAG,EAAE,SAAS,GAAG,EAAE,GAAG,SAAS,GAAG,EAAE,GAAG,SAAS,EAAE,MAAM,IAAI6lD,EAAE,6GAA6G,EAAE,GAAG3lD,GAAG,OAAOA,EAAEipD,GAAG,GAAGjpD,IAAI,gBAAgBA,IAAI,gBAAgB,MAAM,IAAI2lD,EAAE,wBAAwB3lD,kEAAkE,EAAE,IAAII,EAAE,OAAOJ,IAAI,gBAAgBI,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,GAAG,EAAE,EAAE,EAAEA,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,EAAE,GAAG,EAAE,GAAG,CAAC,EAAE,CAAC,CAAC,EAAEopC,GAAG1pC,EAAEM,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIqhE,GAAG,cAAczU,EAAE,CAAC,YAAYpsD,EAAE,CAAC,GAAGA,GAAG,OAAOA,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,WAAWA,EAAE,YAAY,KAAKqoD,GAAG,EAAEroD,EAAE,WAAWA,EAAE,SAAS,KAAK,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,UAAU,OAAOA,EAAE,SAAS,SAAS,KAAK,QAAQ,CAAC,CAACA,EAAE,QAAQA,EAAE,OAAO,EAAE,CAACA,EAAE,QAAQA,EAAE,OAAO,CAAC,MAAM,CAAC,GAAGA,EAAE,QAAQA,EAAE,QAAQA,EAAE,QAAQ,SAAS,EAAE,MAAM,IAAI+kD,EAAE,+EAA+E/kD,EAAE,QAAQ,eAAe,EAAE,IAAIZ,EAAE,EAAE,GAAG,OAAOY,EAAE,QAAQ,IAAI,SAASZ,EAAE,CAACY,EAAE,QAAQ,GAAGA,EAAE,QAAQ,EAAE,EAAE,EAAE,CAACA,EAAE,QAAQ,GAAGA,EAAE,QAAQ,EAAE,MAAM,CAAC,GAAGA,EAAE,QAAQA,EAAE,QAAQA,EAAE,QAAQ,GAAG,SAAS,EAAE,MAAM,IAAI+kD,EAAE,sFAAsF/kD,EAAE,QAAQ,GAAG,eAAe,EAAE,GAAGZ,EAAEY,EAAE,QAAQ,GAAGA,EAAE,QAAQ,GAAG,SAAS,EAAE,MAAM,IAAI+kD,EAAE,qFAAqF/kD,EAAE,QAAQ,GAAG,eAAe,EAAE,EAAEA,EAAE,QAAQ,EAAE,CAAC,KAAK,QAAQ,CAACZ,EAAE,CAAC,CAAC,CAAC,KAAK,UAAU,CAAC,IAAI2sD,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmB/rD,EAAE,CAACA,EAAEwrD,GAAGxrD,CAAC,EAAE,IAAIZ,EAAE,EAAE,OAAO,KAAK,aAAa,iBAAiBY,EAAE,IAAI,MAAMA,EAAE,IAAI,EAAEZ,EAAEY,EAAE,GAAG,KAAK,QAAQ,GAAG,GAAG,KAAK,QAAQ,GAAG,GAAGZ,EAAE,KAAKY,EAAE,IAAI,MAAMA,EAAE,IAAI,EAAE,EAAEA,EAAE,GAAG,KAAK,QAAQ,GAAG,GAAG,KAAK,QAAQ,GAAG,GAAG,EAAE,KAAK,CAACA,EAAE,GAAGA,EAAE,GAAGZ,EAAE,CAAC,IAAIY,EAAE,IAAI,MAAMA,EAAE,IAAI,EAAEZ,EAAEY,EAAE,GAAG,KAAK,QAAQ,GAAG,GAAG,KAAK,QAAQ,GAAG,GAAGZ,EAAE,KAAKY,EAAE,IAAI,MAAMA,EAAE,IAAI,EAAE,EAAEA,EAAE,GAAG,KAAK,QAAQ,GAAG,GAAG,KAAK,QAAQ,GAAG,GAAG,EAAE,KAAK,CAACA,EAAE,GAAGZ,EAAE,EAAEY,EAAE,EAAE,EAAE,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAIkuC,GAAGrV,GAAGvrD,CAAC,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,QAAQ,KAAK,QAAQ,WAAW,KAAK,UAAU,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAE6gE,GAAG,UAAU,gBAAgBnqC,GAAE,cAAcmqC,EAAE,EAAE,SAASC,GAAG5hE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,OAAOizB,EAAE,IAAI,CAACw0B,GAAGznD,CAAC,EAAE4nD,GAAG,CAAC,EAAED,GAAG5nD,CAAC,EAAEJ,GAAG,OAAOA,EAAE,CAAC,EAAE,CAAC,GAAGI,GAAG,OAAOA,EAAE,SAASC,GAAG,OAAOA,EAAE4oD,GAAG,GAAG,GAAG,OAAO,EAAE,OAAOnpD,EAAE69D,GAAG79D,EAAEO,CAAC,EAAE,IAAI,EAAE0B,EAAE3B,IAAI,OAAO,OAAO,QAAQ,OAAO,IAAI,MAAM,EAAEqnC,GAAG3nC,EAAE,EAAEE,EAAE+B,CAAC,EAAE,EAAEk6B,GAAGn8B,EAAE,EAAEE,EAAE+B,CAAC,EAAE1B,IAAI,kBAAkB,EAAEq0B,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,SAASitC,GAAG7hE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,OAAOizB,EAAE,IAAI,CAACw0B,GAAGznD,CAAC,EAAE4nD,GAAG,CAAC,EAAED,GAAG5nD,CAAC,EAAEJ,GAAG,OAAOA,EAAE,CAAC,EAAE,EAAE,CAAC,GAAGI,GAAG,OAAOA,EAAE,SAASC,GAAG,OAAOA,EAAE4oD,GAAG,GAAG,GAAG,OAAO,EAAE,OAAOnpD,EAAE89D,GAAG99D,EAAEO,CAAC,EAAE,IAAI,EAAE0B,EAAE3B,IAAI,OAAO,OAAO,QAAQ,OAAO,IAAI,MAAM,EAAEunC,GAAG7nC,EAAE,EAAEE,EAAE+B,CAAC,EAAE,EAAEo6B,GAAGr8B,EAAE,EAAEE,EAAE+B,CAAC,EAAE1B,IAAI,kBAAkB,EAAEq0B,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,IAAIktC,GAAG,cAAc5U,EAAE,CAAC,YAAYpsD,EAAE,CAAC,GAAGA,EAAE,UAAU,OAAOA,EAAE,SAAS,GAAG,MAAMA,CAAC,EAAE,OAAOA,EAAE,UAAU,SAAS,KAAK,SAAS,CAACA,EAAE,QAAQ,UAAU,MAAM,QAAQA,EAAE,QAAQ,GAAGA,EAAE,SAAS,SAAS,GAAG,OAAOA,EAAE,SAAS,IAAI,SAAS,KAAK,SAASA,EAAE,aAAc,OAAM,IAAI+kD,EAAE,qGAAqG,KAAK,UAAU/kD,EAAE,QAAQ,GAAG,EAAE,GAAGomD,GAAG,KAAK,SAAS,UAAU,EAAEpmD,EAAE,SAAS,KAAK,KAAK,QAAQ,KAAK,iBAAiB,OAAOA,EAAE,SAAS,SAAS,KAAK,QAAQ,CAACA,EAAE,OAAO,UAAU,MAAM,QAAQA,EAAE,OAAO,GAAGA,EAAE,QAAQ,SAAS,GAAG,OAAOA,EAAE,QAAQ,IAAI,SAAS,KAAK,QAAQA,EAAE,YAAa,OAAM,IAAI+kD,EAAE,oGAAoG,KAAK,UAAU/kD,EAAE,OAAO,GAAG,EAAEomD,GAAG,KAAK,QAAQ,SAAS,EAAE,KAAK,QAAQpmD,EAAE,SAAS,KAAK,QAAQA,EAAE,QAAQonD,GAAG,KAAK,OAAO,EAAE,KAAK,UAAU,CAAC,IAAI2E,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmB/rD,EAAE,CAACA,EAAEwrD,GAAGxrD,CAAC,EAAE,IAAIZ,EAAEy9D,GAAG78D,EAAE,GAAG,KAAK,SAAS,GAAG,KAAK,QAAQ,KAAK,QAAQ,EAAE,EAAE,MAAM,CAACA,EAAE,GAAGZ,EAAEY,EAAE,EAAE,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,KAAK,eAAe1yB,EAAEZ,CAAC,EAAEY,EAAEuoD,GAAGgD,GAAGvrD,CAAC,EAAE,CAAC,EAAE,IAAI,EAAE,KAAK,gBAAgBurD,GAAGvrD,CAAC,EAAE,CAAC,KAAK,SAAS,GAAG,CAAC,EAAE,CAAC,KAAK,QAAQ,GAAG,CAAC,EAAE,KAAK,QAAQ,cAAc,EAAE,OAAOyuC,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIzuC,EAAE,CAAC,SAAS,KAAK,SAAS,QAAQ,KAAK,QAAQ,QAAQ,KAAK,OAAO,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEihE,GAAG,cAAcD,EAAE,CAAC,YAAYhhE,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,gBAAgBA,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,OAAOimD,GAAGjmD,CAAC,EAAEmmD,GAAG3nD,CAAC,EAAEqhE,GAAG9gE,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,KAAK,CAAC,CAAC,EAAEggE,GAAG,UAAU,eAAevqC,GAAE,cAAcuqC,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAYhhE,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,gBAAgBA,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,OAAOimD,GAAGjmD,CAAC,EAAEmmD,GAAG3nD,CAAC,EAAEqhE,GAAG9gE,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,KAAK,CAAC,CAAC,EAAEigE,GAAG,UAAU,mBAAmBxqC,GAAE,cAAcwqC,EAAE,EAAE,IAAIC,GAAG,cAAc/U,EAAE,CAAC,YAAYpsD,EAAE,CAAC,GAAGA,EAAE,UAAU,OAAOA,EAAE,SAAS,CAAC,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,SAAS,MAAM,QAAQA,EAAE,QAAQ,EAAEA,EAAE,SAAS,CAACA,EAAE,SAASA,EAAE,QAAQ,EAAEA,EAAE,SAAS,KAAK,KAAK,QAAQ,KAAK,iBAAiB,MAAM,QAAQA,EAAE,OAAO,EAAE,CAAC,GAAGA,EAAE,QAAQ,SAAS,EAAE,MAAM,IAAI+kD,EAAE,wHAAwH/kD,EAAE,QAAQ,SAAS,EAAE,KAAK,QAAQA,EAAE,OAAO,MAAM,KAAK,QAAQ,CAACA,EAAE,QAAQA,EAAE,OAAO,EAAEomD,GAAG,KAAK,SAAS,UAAU,EAAEA,GAAG,KAAK,QAAQ,SAAS,EAAE,KAAK,QAAQpmD,EAAE,SAAS,KAAK,QAAQA,EAAE,QAAQ,KAAK,WAAWA,EAAE,YAAY,KAAK,eAAeA,EAAE,WAAWknD,GAAG,KAAK,UAAU,EAAEE,GAAG,KAAK,OAAO,EAAE,KAAK,UAAU,CAAC,IAAI2E,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmB/rD,EAAE,CAACA,EAAEwrD,GAAGxrD,CAAC,EAAE,IAAIZ,EAAE,KAAK,aAAa,gBAAgBY,EAAE,GAAGA,EAAE,GAAG,EAAE,KAAK,aAAa,gBAAgBA,EAAE,GAAGA,EAAE,GAAG,OAAOZ,EAAEy9D,GAAGz9D,EAAE,KAAK,SAAS,GAAG,KAAK,QAAQ,KAAK,QAAQ,EAAE,EAAE,EAAEy9D,GAAG,EAAE,KAAK,SAAS,GAAG,KAAK,QAAQ,KAAK,QAAQ,EAAE,EAAE,KAAK,aAAa,gBAAgB,CAAC78D,EAAE,GAAGA,EAAE,GAAGZ,EAAE,CAAC,EAAE,CAACY,EAAE,GAAGZ,EAAE,EAAEY,EAAE,EAAE,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,KAAK,KAAK,eAAe1yB,EAAEZ,CAAC,EAAE,KAAK,gBAAgBmsD,GAAGvrD,CAAC,EAAE,KAAK,SAAS,KAAK,QAAQ,KAAK,QAAQ,KAAK,UAAU,EAAE,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,SAAS,KAAK,SAAS,QAAQ,KAAK,QAAQ,QAAQ,KAAK,QAAQ,WAAW,KAAK,UAAU,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEohE,GAAG,cAAcD,EAAE,CAAC,YAAYnhE,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,gBAAgBA,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,OAAOimD,GAAGjmD,CAAC,EAAEmmD,GAAG3nD,CAAC,EAAEqhE,GAAG9gE,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,KAAK,CAAC,CAAC,EAAEmgE,GAAG,UAAU,eAAe1qC,GAAE,cAAc0qC,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAYnhE,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,gBAAgBA,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,OAAOimD,GAAGjmD,CAAC,EAAEmmD,GAAG3nD,CAAC,EAAEqhE,GAAG9gE,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,KAAK,CAAC,CAAC,EAAEogE,GAAG,UAAU,mBAAmB3qC,GAAE,cAAc2qC,EAAE,EAAE,IAAIC,GAAG,cAAclV,EAAE,CAAC,YAAYpsD,EAAE,CAAC,GAAGA,EAAE,UAAU,OAAOA,EAAE,SAAS,CAAC,EAAE,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,SAAS,MAAM,QAAQA,EAAE,QAAQ,EAAEA,EAAE,SAAS,CAACA,EAAE,SAASA,EAAE,SAASA,EAAE,QAAQ,EAAEA,EAAE,SAAS,KAAK,KAAK,QAAQ,KAAK,iBAAiB,MAAM,QAAQA,EAAE,OAAO,EAAE,CAAC,GAAGA,EAAE,QAAQ,SAAS,EAAE,MAAM,IAAI+kD,EAAE,wHAAwH/kD,EAAE,QAAQ,SAAS,EAAE,KAAK,QAAQA,EAAE,OAAO,MAAM,KAAK,QAAQ,CAACA,EAAE,QAAQA,EAAE,QAAQA,EAAE,OAAO,EAAEomD,GAAG,KAAK,SAAS,UAAU,EAAEA,GAAG,KAAK,QAAQ,SAAS,EAAE,KAAK,QAAQpmD,EAAE,SAAS,KAAK,QAAQA,EAAE,QAAQ,KAAK,WAAWA,EAAE,YAAY,KAAK,eAAeA,EAAE,WAAWknD,GAAG,KAAK,UAAU,EAAEE,GAAG,KAAK,OAAO,EAAE,KAAK,UAAU,CAAC,IAAI2E,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmB/rD,EAAE,CAACA,EAAEwrD,GAAGxrD,CAAC,EAAE,IAAIZ,EAAE,KAAK,aAAa,gBAAgBY,EAAE,GAAGA,EAAE,GAAG,EAAE,KAAK,aAAa,gBAAgBA,EAAE,GAAGA,EAAE,GAAGP,EAAE,KAAK,aAAa,gBAAgBO,EAAE,GAAGA,EAAE,GAAG,OAAOZ,EAAEy9D,GAAGz9D,EAAE,KAAK,SAAS,GAAG,KAAK,QAAQ,KAAK,QAAQ,EAAE,EAAE,EAAEy9D,GAAG,EAAE,KAAK,SAAS,GAAG,KAAK,QAAQ,KAAK,QAAQ,EAAE,EAAEp9D,EAAEo9D,GAAGp9D,EAAE,KAAK,SAAS,GAAG,KAAK,QAAQ,KAAK,QAAQ,EAAE,EAAE,KAAK,aAAa,gBAAgB,CAACO,EAAE,GAAGA,EAAE,GAAGZ,EAAE,EAAEK,CAAC,EAAE,CAACO,EAAE,GAAGZ,EAAE,EAAEK,EAAEO,EAAE,EAAE,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,KAAK,KAAK,eAAe1yB,EAAEZ,CAAC,EAAE,KAAK,gBAAgBmsD,GAAGvrD,CAAC,EAAE,KAAK,SAAS,KAAK,QAAQ,KAAK,QAAQ,KAAK,UAAU,EAAE,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,SAAS,KAAK,SAAS,QAAQ,KAAK,QAAQ,QAAQ,KAAK,QAAQ,WAAW,KAAK,UAAU,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEuhE,GAAG,cAAcD,EAAE,CAAC,YAAYthE,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,gBAAgBA,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,OAAOimD,GAAGjmD,CAAC,EAAEmmD,GAAG3nD,CAAC,EAAEshE,GAAG/gE,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,KAAK,CAAC,CAAC,EAAEsgE,GAAG,UAAU,eAAe7qC,GAAE,cAAc6qC,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAYthE,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,gBAAgBA,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,OAAOimD,GAAGjmD,CAAC,EAAEmmD,GAAG3nD,CAAC,EAAEshE,GAAG/gE,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,KAAK,CAAC,CAAC,EAAEugE,GAAG,UAAU,mBAAmB9qC,GAAE,cAAc8qC,EAAE,EAAE,IAAIC,GAAG,cAAcrV,EAAE,CAAC,YAAYpsD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,UAAU,CAAC,IAAI+rD,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmB/rD,EAAE,CAAC,MAAM,CAACA,EAAE,GAAGA,EAAE,EAAE,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,MAAM,IAAI4lD,EAAE,CAAC,EAAE0c,GAAG,cAAcD,EAAE,CAAC,YAAYzhE,EAAE,CAAC,MAAMA,GAAG,CAAC,CAAC,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,IAAI,EAAE64B,GAAGvrD,CAAC,EAAE,OAAOqnC,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEq6B,GAAG,UAAU,yBAAyBhrC,GAAE,cAAcgrC,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAYzhE,EAAE,CAAC,MAAMA,GAAG,CAAC,CAAC,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,IAAI,EAAE64B,GAAGvrD,CAAC,EAAE,OAAOyhC,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEkgC,GAAG,UAAU,qBAAqBjrC,GAAE,cAAcirC,EAAE,EAAE,IAAIC,GAAG,cAAcxV,EAAE,CAAC,YAAYpsD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,WAAWA,EAAE,YAAY,KAAK,eAAeA,EAAE,WAAWknD,GAAG,KAAK,UAAU,EAAE,KAAK,UAAU,CAAC,IAAI6E,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmB/rD,EAAE,CAAC,OAAOA,EAAEA,EAAE,KAAK,aAAa,eAAe,CAACA,EAAE,GAAGA,EAAE,EAAE,EAAE,CAACA,EAAE,GAAGA,EAAE,EAAE,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,MAAM,IAAI4lD,EAAE,CAAC,WAAW,CAAC,IAAIhlD,EAAE,CAAC,WAAW,KAAK,UAAU,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAE6hE,GAAG,cAAcD,EAAE,CAAC,KAAK5hE,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,IAAI,EAAE64B,GAAGvrD,CAAC,EAAE,OAAO,KAAK,aAAa,eAAeqnC,GAAG,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEA,GAAG,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEw6B,GAAG,UAAU,yBAAyBnrC,GAAE,cAAcmrC,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,KAAK5hE,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,IAAI,EAAE64B,GAAGvrD,CAAC,EAAE,OAAO,KAAK,aAAa,eAAeyhC,GAAG,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEA,GAAG,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEqgC,GAAG,UAAU,qBAAqBprC,GAAE,cAAcorC,EAAE,EAAE,IAAIC,GAAG,cAAc3V,EAAE,CAAC,YAAYpsD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,MAAMA,EAAE,KAAK,CAAC,MAAMA,EAAE,CAAC,KAAK,MAAM,EAAE,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,OAAO,KAAK,KAAK,MAAM,UAAU,EAAE,CAAC,IAAI,UAAUA,EAAE,CAAC,KAAK,OAAO,OAAO,KAAK,MAAM,UAAUA,EAAE,CAAC,IAAI,kBAAkB,CAAC,OAAO,KAAK,MAAM,gBAAgB,CAAC,IAAI,qBAAqB,CAAC,OAAO,KAAK,MAAM,mBAAmB,CAAC,IAAI,SAAS,CAAC,OAAO,KAAK,MAAM,QAAQ,CAAC,IAAI,QAAQ,CAAC,OAAO,KAAK,MAAM,MAAM,CAAC,YAAY,CAAC,OAAO,KAAK,MAAM,WAAW,CAAC,CAAC,WAAWA,EAAE,CAAC,KAAK,MAAM,WAAWA,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,MAAM,CAAC,UAAU,KAAK,MAAM,aAAa,EAAE,OAAO,KAAK,MAAM,UAAU,CAAC,CAAC,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,6BAA6BA,EAAE,CAAC,MAAM,6BAA6BA,CAAC,EAAE,KAAK,OAAO,MAAM,KAAK,MAAM,6BAA6BA,CAAC,CAAC,CAAC,OAAO,WAAWA,EAAEZ,EAAE,EAAE,CAAC,EAAE,CAAC,IAAIK,EAAEL,EAAE,MAAM6B,EAAE2zD,GAAGn1D,EAAE,CAAC,EAAE,OAAOL,EAAE,MAAM,IAAI8B,EAAE,CAAC,MAAMD,CAAC,EAAE,OAAO,OAAO,OAAOC,EAAE9B,CAAC,EAAE,IAAIY,EAAEkB,CAAC,CAAC,CAAC,EAAE8gE,GAAG,cAAcD,EAAE,CAAC,YAAY/hE,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,gBAAgB,EAAE,CAAC,MAAMA,EAAE,CAAC,GAAGA,EAAEwrD,GAAGxrD,CAAC,EAAEA,EAAE,OAAO,EAAE,MAAM,IAAI+kD,EAAE,gFAAgF,KAAK,UAAU/kD,CAAC,GAAG,EAAE,KAAK,UAAU,CAAC,CAAC,MAAMA,CAAC,CAAC,EAAE,IAAIZ,EAAE,CAACY,EAAE,EAAE,EAAE,OAAOA,EAAE,MAAM,CAAC,CAAC,EAAE,KAAK,MAAM,QAAQ,KAAK,MAAM,MAAMZ,CAAC,EAAE,KAAK,MAAM,MAAM,IAAI,MAAM,MAAMY,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAACA,EAAEwrD,GAAGxrD,CAAC,EAAE,IAAIZ,EAAE,CAACY,EAAE,EAAE,EAAE,OAAOA,EAAE,MAAM,CAAC,CAAC,EAAE,EAAE,KAAK,MAAM,mBAAmBZ,CAAC,EAAEK,EAAEO,EAAE,GAAG,MAAM,CAAC,EAAE,GAAGP,CAAC,EAAE,OAAO,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,KAAKO,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,KAAK1yB,EAAEurD,GAAGvrD,CAAC,EAAEk+D,GAAG,CAACh9D,EAAE,IAAI,CAACqqD,GAAG,KAAK,MAAM,KAAKrqD,EAAE9B,CAAC,CAAC,EAAE,CAAC,CAAC,EAAEY,EAAE,CAAC,EAAE,GAAG,KAAK,KAAK,GAAG,EAAE,EAAE,GAAG,CAAC,CAAC,EAAEgiE,GAAG,UAAU,kBAAkBtrC,GAAE,cAAcsrC,EAAE,EAAE,SAASC,GAAG/iE,EAAE,CAACgnD,GAAGc,GAAG,yBAAyB9nD,CAAC,CAAC,CAAC,IAAIgjE,GAAG,SAASC,GAAG,cAAcJ,EAAE,CAAC,YAAY/hE,EAAE,CAAC,MAAMA,CAAC,EAAE,IAAIZ,EAAEY,EAAE,MAAM,UAAU,EAAE,EAAE,CAAC,EAAE,EAAE,UAAUA,EAAE,MAAM,aAAa,EAAE,EAAE,OAAOZ,EAAE,KAAK,aAAaw1D,GAAG,CAAC,EAAEx1D,EAAE,YAAYA,EAAE,cAAc,GAAG,IAAIK,EAAE,CAAC,EAAE,GAAGA,EAAE,UAAUO,EAAE,MAAM,aAAa,EAAEP,EAAE,OAAOL,EAAE,KAAK,cAAcw1D,GAAGn1D,CAAC,EAAE,KAAK,aAAa,KAAK,WAAW,KAAK,aAAa,KAAK,KAAK,cAAc,KAAK,YAAY,KAAK,cAAc,KAAK,KAAK,UAAUO,EAAE,YAAY,OAAOkiE,GAAGliE,EAAE,UAAUiiE,GAAG,KAAK,SAAS,EAAEjiE,EAAE,QAAQ,MAAM,IAAIglD,GAAG,iEAAiE,EAAE,KAAK,UAAUhlD,EAAE,MAAM,SAAS,KAAK,gBAAgBA,EAAE,MAAM,gBAAgB,KAAK,YAAYA,EAAE,MAAM,YAAY,KAAK,gBAAgB,GAAG,KAAK,WAAW,GAAG,KAAK,UAAUA,EAAE,MAAM,UAAU,KAAK,aAAa,IAAI,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,UAAU,CAAC,IAAI,UAAUA,EAAE,CAAC,KAAK,WAAWA,EAAE,KAAK,cAAc,OAAO,KAAK,aAAa,UAAUA,GAAG,KAAK,eAAe,OAAO,KAAK,cAAc,UAAUA,EAAE,CAAC,YAAY,CAAC,OAAO,KAAK,aAAa,WAAW,EAAE,OAAO,KAAK,cAAc,WAAW,CAAC,CAAC,CAAC,WAAWA,EAAE,CAAC,IAAIZ,EAAEY,EAAE,OAAO,EAAE,KAAK,MAAMZ,EAAE,CAAC,EAAE,KAAK,aAAa,WAAWY,EAAE,MAAM,EAAE,CAAC,CAAC,EAAE,KAAK,cAAc,WAAWA,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAAC,IAAIZ,EAAE,KAAK,aAAa,mBAAmBY,CAAC,EAAE,MAAM,QAAQZ,CAAC,GAAG,MAAM,QAAQA,EAAE,EAAE,IAAIA,EAAE,CAACA,CAAC,GAAGA,EAAEA,EAAE,IAAI,EAAEK,EAAEwB,EAAE,OAAO,KAAK,cAAcA,EAAE7B,EAAE,MAAM,CAAC,GAAG,EAAEA,EAAE,GAAG,EAAE,EAAE,KAAK,YAAY,UAAU,EAAE,EAAE,OAAO,IAAI,EAAEK,EAAE,CAAC,CAAC,GAAG,KAAK,WAAW,KAAKA,EAAE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,KAAK,YAAY,KAAK,WAAW,KAAKA,EAAE,OAAOwB,CAAC,EAAE,OAAOA,EAAE,MAAM,CAAC,EAAE,CAAC,CAAC,EAAE,OAAOA,CAAC,EAAE,OAAOA,EAAE,MAAM,CAAC,EAAEqkD,GAAG7lD,CAAC,CAAC,CAAC,MAAMO,EAAEZ,EAAE,CAAC,IAAI,EAAEA,GAAG,KAAK,KAAKA,EAAE,aAAaK,EAAEL,GAAG,KAAK,KAAKA,EAAE,UAAUA,GAAG,OAAOA,EAAE,CAAC,GAAG,IAAI6B,EAAEg9D,GAAGj+D,EAAE,EAAEP,EAAE,KAAK,YAAY,EAAE,GAAGO,EAAEiB,EAAE,OAAO,EAAEA,EAAE,aAAaxB,EAAEwB,EAAE,UAAU,MAAM,QAAQjB,CAAC,IAAI,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAEA,EAAE,KAAK,GAAG,MAAM,EAAE,SAAS,IAAIP,GAAG,KAAK,OAAO,MAAM,MAAMO,EAAEZ,CAAC,EAAE,IAAI8B,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,GAAG,GAAG,KAAK,CAAC,IAAI,EAAE,EAAE,OAAO,GAAG,EAAE,EAAE,EAAE,MAAM,IAAI4jD,EAAE,+HAA+H,EAAE3lD,EAAE,aAAa,EAAE8B,EAAE,KAAK,GAAG,CAAC,EAAE,IAAIY,EAAE,EAAE,IAAI,GAAG,IAAIiqD,GAAG,CAAC,MAAM,EAAE,KAAK,CAAC,CAAC,EAAE,KAAK,aAAa,UAAUjqD,EAAE,MAAM,EAAE,EAAE,CAAC,EAAE,KAAK,cAAc,UAAUA,EAAE,MAAM,EAAE,CAAC,EAAEX,EAAE,KAAK,GAAGW,CAAC,CAAC,CAAC,GAAGrC,GAAG,KAAK,MAAM,IAAIulD,GAAG,uEAAuE,EAAE,IAAI5jD,EAAEF,EAAE,aAAa8qD,GAAG,QAAQ,KAAK9qD,EAAE,GAAG,aAAa8qD,KAAK5qD,EAAE,MAAM,IAAI2jD,EAAE,8GAA8G,EAAE,GAAG3jD,EAAE,CAAC,IAAI,EAAE,CAACpB,CAAC,EAAE,OAAOkB,CAAC,EAAEY,EAAE,KAAK,UAAU,OAAOX,CAAC,EAAE,EAAE,KAAK,UAAU,KAAK,UAAUW,EAAE,IAAIE,EAAE,MAAM,MAAM,EAAE5C,CAAC,EAAE,OAAO,KAAK,UAAU,EAAE4C,CAAC,KAAM,QAAO,MAAM,MAAMhC,EAAEZ,CAAC,CAAC,CAAC,KAAKY,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,IAAI,CAAC,IAAI,EAAEtzB,EAAE,aAAaK,EAAEwB,EAAE,GAAG,GAAG,KAAKxB,EAAE,KAAK,aAAa,KAAKO,EAAEZ,CAAC,EAAE6B,EAAE,KAAK,cAAc,KAAKjB,EAAEZ,CAAC,MAAM,CAAC,IAAIgC,EAAE,EAAE,MAAM,EAAE,EAAE,OAAO,CAAC,EAAE,EAAE,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE3B,EAAE,KAAK,aAAa,KAAKO,EAAE,OAAO,OAAOZ,EAAE,CAAC,aAAagC,CAAC,CAAC,CAAC,EAAEH,EAAE,KAAK,cAAc,KAAKjB,EAAE,OAAO,OAAOZ,EAAE,CAAC,aAAa,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI8B,EAAE,KAAK,cAAc,MAAM,QAAQzB,CAAC,IAAIyB,EAAEzB,EAAE,MAAM,CAAC,EAAE,OAAOwB,EAAE,MAAM,CAAC,CAAC,GAAGxB,EAAEA,EAAE,GAAGwB,EAAEA,EAAE,IAAI,KAAK,kBAAkBA,EAAEwqC,GAAGxqC,EAAE,CAAC,GAAG,IAAIE,EAAE,OAAO,KAAK,YAAY,SAASA,EAAE4nD,GAAG,CAACtpD,EAAEwB,CAAC,CAAC,EAAE,KAAK,YAAY,MAAME,EAAE42B,EAAEt4B,EAAEwB,CAAC,EAAE,KAAK,YAAY,MAAME,EAAEk3B,EAAE,GAAGN,EAAEt4B,EAAEwB,CAAC,CAAC,EAAE,KAAK,YAAY,MAAME,EAAEk3B,EAAE54B,EAAEwB,CAAC,EAAE,KAAK,WAAW,OAAOE,EAAE,CAAC1B,EAAEwB,CAAC,GAAG,KAAK,YAAY,KAAK,WAAW,KAAKE,EAAE,OAAOD,CAAC,EAAE,CAACC,CAAC,EAAE,OAAOD,CAAC,EAAEC,CAAC,CAAC,CAAC,CAAC,YAAYnB,EAAE,CAAC,KAAK,aAAa,YAAY,EAAE,KAAK,cAAc,YAAY,CAAC,CAAC,MAAMA,EAAE,CAACwnD,GAAG,KAAK,aAAa,KAAK,IAAI,CAAC,KAAK,aAAa,MAAMxnD,CAAC,CAAC,CAAC,EAAEwnD,GAAG,KAAK,cAAc,KAAK,IAAI,CAAC,KAAK,cAAc,MAAMxnD,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,YAAYA,EAAEZ,EAAE,CAAC,MAAM,QAAQA,CAAC,IAAIA,EAAEA,EAAE,IAAI,IAAI,EAAE,GAAG,KAAK,gBAAgB,KAAK,WAAW,KAAK,EAAE,CAACA,EAAEA,CAAC,EAAE,EAAEA,EAAE,KAAK,WAAW,KAAK,EAAE,CAAC,KAAK,IAAI,EAAE,EAAE,KAAK,KAAK,YAAY,CAAC,IAAI6B,EAAE,KAAK,aAAa,OAAO,IAAIC,GAAG,IAAI,EAAE,OAAO,MAAM,QAAQ,CAAC,EAAE,EAAE,OAAOD,CAAC,EAAE,OAAOA,CAAC,EAAE,CAAC,CAAC,EAAE,OAAOA,CAAC,EAAE,OAAOA,CAAC,CAAC,KAAM,QAAO,CAAC,CAAC,IAAI,kBAAkB,CAAC,OAAO,KAAK,aAAa,iBAAiB,OAAO,KAAK,cAAc,gBAAgB,CAAC,CAAC,IAAI,qBAAqB,CAAC,OAAO,KAAK,aAAa,oBAAoB,OAAO,KAAK,cAAc,mBAAmB,CAAC,CAAC,6BAA6BjB,EAAE,CAAC,MAAM,6BAA6BA,CAAC,EAAE,KAAK,cAAc,MAAM,KAAK,aAAa,6BAA6BA,CAAC,EAAE,KAAK,eAAe,MAAM,KAAK,cAAc,6BAA6BA,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,UAAU,KAAK,SAAS,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,OAAO,WAAWA,EAAEZ,EAAE,CAAC,IAAI,EAAEw1D,GAAGx1D,EAAE,KAAK,EAAE,GAAG,OAAOA,EAAE,MAAMA,EAAE,cAAc,KAAK,MAAM,IAAI4lD,GAAG,0FAA0F,EAAE,IAAIvlD,EAAEL,EAAE,OAAOK,EAAE,MAAM,EAAE,IAAIO,EAAEP,CAAC,CAAC,CAAC,EAAE0iE,GAAG,UAAU,gBAAgBzrC,GAAE,cAAcyrC,EAAE,EAAE,IAAIC,GAAG,cAAchW,EAAE,CAAC,YAAYpsD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,MAAMA,EAAE,MAAMA,EAAE,OAAO,KAAK,OAAOA,EAAE,OAAO,KAAK,OAAO,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,MAAM,KAAK,MAAM,OAAO,KAAK,MAAM,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOszB,EAAE,KAAK1yB,EAAEurD,GAAGvrD,CAAC,EAAEA,EAAE,QAAQ,YAAYA,EAAEsoD,GAAGtoD,EAAE,SAAS,GAAG+3B,EAAEM,EAAEr4B,EAAE,KAAK,KAAK,EAAE,KAAK,MAAM,EAAE,CAAC,CAAC,EAAEoiE,GAAG,UAAU,YAAY1rC,GAAE,cAAc0rC,EAAE,EAAE,SAASnQ,GAAG/yD,EAAE,CAAC,OAAO,IAAIstD,GAAGttD,CAAC,CAAC,CAAC,SAASiyD,GAAGjyD,EAAE,CAAC,OAAO,IAAIu9D,GAAGv9D,CAAC,CAAC,CAAC,SAAS+zD,GAAG/zD,EAAE,CAAC,OAAO,IAAIo9D,GAAGp9D,CAAC,CAAC,CAAC,SAASizD,GAAGjzD,EAAE,CAAC,OAAO,IAAIq9D,GAAGr9D,CAAC,CAAC,CAAC,SAAS8zD,GAAG9zD,EAAE,CAAC,OAAO,IAAIs9D,GAAGt9D,CAAC,CAAC,CAAC,SAASu0D,GAAGv0D,EAAE,CAAC,OAAO,IAAIy9D,GAAGz9D,CAAC,CAAC,CAAC,SAAS00D,GAAG10D,EAAE,CAAC,OAAO,IAAIw9D,GAAGx9D,CAAC,CAAC,CAAC,SAASqxD,GAAGrxD,EAAE,CAAC,OAAO,IAAI0+D,GAAG1+D,CAAC,CAAC,CAAC,SAASsxD,GAAGtxD,EAAE,CAAC,OAAO,IAAIo+D,GAAGp+D,CAAC,CAAC,CAAC,SAASuxD,GAAGvxD,EAAE,CAAC,OAAO,IAAIs+D,GAAGt+D,CAAC,CAAC,CAAC,SAASwxD,GAAGxxD,EAAE,CAAC,OAAO,IAAIq+D,GAAGr+D,CAAC,CAAC,CAAC,SAASyxD,GAAGzxD,EAAE,CAAC,OAAO,IAAIu+D,GAAGv+D,CAAC,CAAC,CAAC,SAASo0D,GAAGp0D,EAAE,CAAC,OAAO,IAAIy+D,GAAGz+D,CAAC,CAAC,CAAC,SAAS4xD,GAAG5xD,EAAE,CAAC,OAAO,IAAI2+D,GAAG3+D,CAAC,CAAC,CAAC,SAAS40D,GAAG50D,EAAE,CAAC,OAAO,IAAI4+D,GAAG5+D,CAAC,CAAC,CAAC,SAAS8xD,GAAG9xD,EAAE,CAAC,OAAO,IAAI8+D,GAAG9+D,CAAC,CAAC,CAAC,SAASqwD,GAAGrwD,EAAE,CAAC,OAAO,IAAIigE,GAAGjgE,CAAC,CAAC,CAAC,SAAS6xD,GAAG7xD,EAAE,CAAC,OAAO,IAAI+/D,GAAG//D,CAAC,CAAC,CAAC,SAASgyD,GAAGhyD,EAAE,CAAC,OAAO,IAAI6/D,GAAG7/D,CAAC,CAAC,CAAC,SAASw0D,GAAGx0D,EAAE,CAAC,OAAO,IAAI8/D,GAAG9/D,CAAC,CAAC,CAAC,SAASmyD,GAAGnyD,EAAE,CAAC,OAAO,IAAIggE,GAAGhgE,CAAC,CAAC,CAAC,SAASg0D,GAAGh0D,EAAE,CAAC,OAAO,IAAIkgE,GAAGlgE,CAAC,CAAC,CAAC,SAASk0D,GAAGl0D,EAAE,CAAC,OAAO,IAAImgE,GAAGngE,CAAC,CAAC,CAAC,SAAS6zD,GAAG7zD,EAAE,CAAC,OAAO,IAAIogE,GAAGpgE,CAAC,CAAC,CAAC,SAASkyD,GAAGlyD,EAAE,CAAC,OAAO,IAAIsgE,GAAGtgE,CAAC,CAAC,CAAC,SAASswD,GAAGtwD,EAAE,CAAC,OAAO,IAAIwgE,GAAGxgE,CAAC,CAAC,CAAC,SAASwwD,GAAGxwD,EAAE,CAAC,OAAO,IAAI0gE,GAAG1gE,CAAC,CAAC,CAAC,SAASoxD,GAAGpxD,EAAE,CAAC,OAAO,IAAI6gE,GAAG7gE,CAAC,CAAC,CAAC,SAAS0zD,GAAG1zD,EAAE,CAAC,OAAO,IAAI2gE,GAAG3gE,CAAC,CAAC,CAAC,SAAS2zD,GAAG3zD,EAAE,CAAC,OAAO,IAAI4gE,GAAG5gE,CAAC,CAAC,CAAC,SAAS4zD,GAAG5zD,EAAE,CAAC,OAAO,IAAIygE,GAAGzgE,CAAC,CAAC,CAAC,SAAS+xD,GAAG/xD,EAAE,CAAC,OAAO,IAAIghE,GAAGhhE,CAAC,CAAC,CAAC,SAASkxD,GAAGlxD,EAAE,CAAC,OAAO,IAAIwhE,GAAGxhE,CAAC,CAAC,CAAC,SAASgzD,GAAGhzD,EAAE,CAAC,OAAO,IAAIyhE,GAAGzhE,CAAC,CAAC,CAAC,SAAS60D,GAAG70D,EAAE,CAAC,OAAO,IAAI2hE,GAAG3hE,CAAC,CAAC,CAAC,SAASywD,GAAGzwD,EAAE,CAAC,OAAO,IAAIgiE,GAAGhiE,CAAC,CAAC,CAAC,SAAS4wD,GAAG5wD,EAAE,CAAC,OAAOywD,GAAGzwD,CAAC,CAAC,CAAC,SAAS+wD,GAAG/wD,EAAE,CAAC,OAAOywD,GAAGzwD,CAAC,CAAC,CAAC,SAAS0wD,GAAG1wD,EAAE,CAAC,OAAO,IAAImiE,GAAGniE,CAAC,CAAC,CAAC,SAAS6wD,GAAG7wD,EAAE,CAAC,OAAO0wD,GAAG1wD,CAAC,CAAC,CAAC,SAASgxD,GAAGhxD,EAAE,CAAC,OAAO0wD,GAAG1wD,CAAC,CAAC,CAAC,SAAS2wD,GAAG3wD,EAAE,CAAC,OAAO,IAAIsiE,GAAGtiE,CAAC,CAAC,CAAC,SAAS8wD,GAAG9wD,EAAE,CAAC,OAAO2wD,GAAG3wD,CAAC,CAAC,CAAC,SAASixD,GAAGjxD,EAAE,CAAC,OAAO2wD,GAAG3wD,CAAC,CAAC,CAAC,SAASsyD,GAAGtyD,EAAE,CAAC,OAAO,IAAIwiE,GAAGxiE,CAAC,CAAC,CAAC,SAASuyD,GAAGvyD,EAAE,CAAC,OAAO,IAAI2iE,GAAG3iE,CAAC,CAAC,CAAC,SAAS0yD,GAAG1yD,EAAE,CAAC,OAAO,IAAIyiE,GAAGziE,CAAC,CAAC,CAAC,SAAS2yD,GAAG3yD,EAAE,CAAC,OAAO,IAAI4iE,GAAG5iE,CAAC,CAAC,CAAC,SAASuzD,GAAGvzD,EAAE,CAAC,OAAO,IAAI+hE,GAAG/hE,CAAC,CAAC,CAAC,SAASwzD,GAAGxzD,EAAE,CAAC,OAAO,IAAIkiE,GAAGliE,CAAC,CAAC,CAAC,SAASyzD,GAAGzzD,EAAE,CAAC,OAAO,IAAIqiE,GAAGriE,CAAC,CAAC,CAAC,SAAS4yD,GAAG5yD,EAAE,CAAC,OAAO,IAAIs/D,GAAGt/D,CAAC,CAAC,CAAC,SAAS6yD,GAAG7yD,EAAE,CAAC,OAAO,IAAIq/D,GAAGr/D,CAAC,CAAC,CAAC,SAASkzD,GAAGlzD,EAAE,CAAC,OAAO,IAAIw/D,GAAGx/D,CAAC,CAAC,CAAC,SAASmzD,GAAGnzD,EAAE,CAAC,OAAO,IAAIu/D,GAAGv/D,CAAC,CAAC,CAAC,SAASq0D,GAAGr0D,EAAE,CAAC,OAAO,IAAIo/D,GAAGp/D,CAAC,CAAC,CAAC,SAASs0D,GAAGt0D,EAAE,CAAC,OAAO,IAAIk/D,GAAGl/D,CAAC,CAAC,CAAC,SAAS0xD,GAAG1xD,EAAE,CAAC,OAAO,IAAI4/D,GAAG5/D,CAAC,CAAC,CAAC,SAAS2xD,GAAG3xD,EAAE,CAAC,OAAO,IAAI2/D,GAAG3/D,CAAC,CAAC,CAAC,SAASm0D,GAAGn0D,EAAE,CAAC,OAAO,IAAImwD,GAAGnwD,CAAC,CAAC,CAAC,SAASy0D,GAAGz0D,EAAE,CAAC,OAAO,IAAIi/D,GAAGj/D,CAAC,CAAC,CAAC,SAASmxD,GAAGnxD,EAAE,CAAC,OAAO,IAAIijE,GAAGjjE,CAAC,CAAC,CAAC,SAAS20D,GAAG30D,EAAE,CAAC,OAAO,IAAI8iE,GAAG9iE,CAAC,CAAC,CAAC,IAAIwyD,GAAGE,GAAGD,GAAGE,GAAGU,GAAGE,GAAGD,GAAGE,GAAG,SAASnB,GAAGryD,EAAE,CAAC,OAAO,IAAIihE,GAAGjhE,CAAC,CAAC,CAAC,SAASoyD,GAAGpyD,EAAE,CAAC,OAAO,IAAIkhE,GAAGlhE,CAAC,CAAC,CAAC,SAASuwD,GAAGvwD,EAAE,CAAC,OAAO,IAAImhE,GAAGnhE,CAAC,CAAC,CAAC,SAASozD,GAAGpzD,EAAE,CAAC,OAAO,IAAIqgE,GAAGrgE,CAAC,CAAC,CAAC,SAASi0D,GAAGj0D,EAAE,CAAC,OAAO,IAAIkjE,GAAGljE,CAAC,CAAC,CAAC,IAAImjE,GAAG,CAAC,EAAE/iE,GAAG+iE,GAAG,CAAC,KAAK,IAAIC,GAAG,IAAI,IAAIC,GAAG,eAAe,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,wBAAwB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,KAAK,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,4BAA4B,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,IAAI,IAAIC,GAAG,UAAU,IAAIC,GAAG,OAAO,IAAIC,GAAG,0BAA0B,IAAIC,EAAE,CAAC,EAAE,SAASZ,GAAGtjE,EAAE,EAAE,CAAC,OAAO62D,GAAG72D,EAAE,CAAC,CAAC,CAAC,SAASujE,GAAGvjE,EAAE,EAAE,CAAC,OAAOo3D,GAAGp3D,EAAE,CAAC,CAAC,CAAC,SAASkkE,GAAGlkE,EAAE,EAAE,CAAC,OAAOq3D,GAAGr3D,EAAE,CAAC,CAAC,CAAC,SAASwjE,GAAGxjE,EAAE,EAAE,CAAC,OAAO82D,GAAG92D,EAAE,CAAC,CAAC,CAAC,SAASyjE,GAAGzjE,EAAE,EAAE,CAAC,OAAO43D,GAAG53D,EAAE,CAAC,CAAC,CAAC,SAASgkE,GAAGhkE,EAAE,EAAE,CAAC,OAAOk3D,GAAGl3D,EAAE,CAAC,CAAC,CAAC,SAASikE,GAAGjkE,EAAE,EAAE,CAAC,OAAOm3D,GAAGn3D,EAAE,CAAC,CAAC,CAAC,SAAS0jE,GAAG1jE,EAAE,EAAE,CAAC,OAAO02D,GAAG12D,EAAE,CAAC,CAAC,CAAC,SAAS4jE,GAAG5jE,EAAE,EAAE,CAAC,OAAO61D,GAAG71D,EAAE,CAAC,CAAC,CAAC,SAAS6jE,GAAG7jE,EAAE,EAAE,CAAC,OAAO81D,GAAG91D,EAAE,CAAC,CAAC,CAAC,SAASojE,GAAGpjE,EAAE,EAAE,CAAC,OAAO81D,GAAG91D,EAAE,CAAC,CAAC,CAAC,SAAS2jE,GAAG3jE,EAAE,EAAE,CAAC,OAAO81D,GAAG91D,EAAE,CAAC,CAAC,CAAC,SAAS8jE,GAAG9jE,EAAE,EAAE,CAAC,OAAO41D,GAAG51D,EAAE,CAAC,CAAC,CAAC,SAASqjE,GAAGrjE,EAAE,EAAE,CAAC,OAAO41D,GAAG51D,EAAE,CAAC,CAAC,CAAC,SAAS+jE,GAAG/jE,EAAE,EAAE,CAAC,OAAO41D,GAAG51D,EAAE,CAAC,CAAC,CAAC,IAAImkE,GAAG,CAAC,EAAE/jE,GAAG+jE,GAAG,CAAC,cAAc,IAAInJ,EAAE,CAAC,EAAE,IAAIoJ,GAAG,CAAC,EAAEhkE,GAAGgkE,GAAG,CAAC,GAAG,IAAIC,GAAG,KAAK,IAAIC,GAAG,GAAG,IAAIC,EAAE,CAAC,EAAE,SAASD,GAAGtkE,EAAE,CAAC,OAAO,IAAI68D,GAAG78D,CAAC,CAAC,CAAC,SAASqkE,GAAGrkE,EAAE,CAAC,OAAO88D,GAAG98D,CAAC,CAAC,CAAC,SAASukE,GAAGvkE,EAAE,CAAC,OAAO+8D,GAAG/8D,CAAC,CAAC,CAAC,IAAIwkE,GAAG,cAActP,EAAE,CAAC,aAAa,CAAC,MAAM,GAAG,SAAS,EAAE,KAAK,MAAM,IAAI,CAAC,SAASp0D,EAAE,CAAC,GAAG,EAAEA,aAAag6D,IAAI,MAAM,IAAI,MAAM,uDAAuD,EAAE,KAAK,MAAMh6D,CAAC,CAAC,EAAE,SAAS2jE,GAAGzkE,EAAE,EAAE,CAAC,OAAOA,EAAE,CAAC,CAAC,SAAS0kE,GAAG1kE,EAAE,EAAE,CAAC,OAAOA,EAAE,CAAC,CAAC,IAAI2kE,GAAG,cAAcH,EAAE,CAAC,YAAY1jE,EAAE,CAAC,GAAG,MAAM,EAAEA,GAAG,OAAOA,EAAE,CAAC,GAAGA,EAAE,mBAAmB,MAAM,IAAIglD,GAAG,oEAAoE,EAAE,KAAK,QAAQhlD,EAAE,SAAS,WAAW,KAAK,SAAS,KAAK,IAAIA,EAAE,UAAU,CAAC,EAAE,KAAK,SAASA,EAAE,UAAU,EAAE,KAAK,QAAQA,EAAE,SAAS,EAAE,KAAK,KAAKA,EAAE,MAAM,OAAO,KAAK,SAASA,EAAE,SAAS,CAAC,OAAO,MAAM,KAAK,EAAE,QAAQ,KAAK,IAAI,IAAI,KAAK,QAAQ,KAAK,uBAAuB,KAAK,gDAAgD,EAAE,KAAK,KAAK,QAAQ,KAAK,OAAO,MAAM,KAAK,YAAY2jE,GAAG,KAAK,OAAO,MAAM,KAAK,YAAYC,GAAG,KAAK,QAAQ,QAAQ,KAAK,IAAI,GAAG,KAAK,YAAYA,GAAG,KAAK,YAAYD,GAAG,KAAK,cAAcA,KAAK,KAAK,UAAU,GAAG,CAAC,MAAM,aAAa3jE,EAAE,CAAC,KAAK,KAAK,EAAE,KAAK,aAAa,EAAE,KAAK,UAAU,KAAK,KAAK,KAAK,KAAK,SAAS,KAAK,KAAK,KAAK,cAAc2jE,GAAG,EAAE,EAAE,GAAG,CAAC,CAAC,MAAM,WAAW3jE,EAAEZ,EAAE,CAAC,MAAM40D,GAAG50D,CAAC,EAAE,IAAI,EAAE,KAAK,gBAAgBA,CAAC,EAAE,GAAG,OAAO,KAAK,YAAY,EAAE,KAAK,SAAS,KAAK,IAAI,GAAG,KAAK,KAAK,EAAE,KAAK,KAAK,IAAI,KAAK,OAAO,KAAK,MAAM,KAAK,WAAW,KAAK,aAAaY,EAAE,KAAK,MAAM,aAAa,KAAK,CAAC,MAAM,WAAWA,EAAE,CAAC,KAAK,aAAa,GAAG,KAAK,SAAS,QAAQ,IAAI,SAAS,KAAK,+BAA+B,CAAC,CAAC,gBAAgBA,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,IAAIZ,EAAEY,EAAE,KAAK,SAAS,OAAOZ,GAAG,MAAM,QAAQ,KAAK,4BAA4B,KAAK,oDAAoD,OAAO,KAAKY,CAAC,GAAG,EAAEZ,CAAC,CAAC,EAAE,SAAS0kE,GAAG5kE,EAAE,CAAC,OAAO,IAAI2kE,GAAG3kE,CAAC,CAAC,CAAC,IAAI6kE,GAAG,CAAC,cAAcD,EAAE,EAAME,GAAGrqD,EAAE,EAAEqqD,GAAG,aAAa,4BAA4B,IAAI,GAAG9kE,GAAG,CAACA,GAAG,QAAQ,KAAK,+OAA+O,CAAC,CAAC,EAAE,IAAI+kE,IAAI,SAAS/kE,EAAE,CAACA,EAAEA,EAAE,WAAW,GAAG,aAAaA,EAAEA,EAAE,SAAS,GAAG,WAAWA,EAAEA,EAAE,UAAU,GAAG,YAAYA,EAAEA,EAAE,SAAS,GAAG,WAAWA,EAAEA,EAAE,SAAS,GAAG,WAAWA,EAAEA,EAAE,SAAS,GAAG,WAAWA,EAAEA,EAAE,QAAQ,GAAG,UAAUA,EAAEA,EAAE,UAAU,GAAG,YAAYA,EAAEA,EAAE,aAAa,GAAG,eAAeA,EAAEA,EAAE,SAAS,GAAG,WAAWA,EAAEA,EAAE,QAAQ,IAAI,UAAUA,EAAEA,EAAE,SAAS,IAAI,WAAWA,EAAEA,EAAE,UAAU,IAAI,YAAYA,EAAEA,EAAE,UAAU,IAAI,YAAYA,EAAEA,EAAE,YAAY,IAAI,cAAcA,EAAEA,EAAE,UAAU,IAAI,YAAYA,EAAEA,EAAE,WAAW,IAAI,aAAaA,EAAEA,EAAE,UAAU,IAAI,YAAYA,EAAEA,EAAE,cAAc,IAAI,gBAAgBA,EAAEA,EAAE,QAAQ,IAAI,UAAUA,EAAEA,EAAE,YAAY,IAAI,cAAcA,EAAEA,EAAE,WAAW,IAAI,aAAaA,EAAEA,EAAE,UAAU,IAAI,YAAYA,EAAEA,EAAE,UAAU,IAAI,YAAYA,EAAEA,EAAE,aAAa,KAAK,eAAeA,EAAEA,EAAE,cAAc,KAAK,gBAAgBA,EAAEA,EAAE,aAAa,KAAK,eAAeA,EAAEA,EAAE,aAAa,KAAK,eAAeA,EAAEA,EAAE,aAAa,KAAK,eAAeA,EAAEA,EAAE,YAAY,KAAK,cAAcA,EAAEA,EAAE,cAAc,KAAK,gBAAgBA,EAAEA,EAAE,iBAAiB,KAAK,mBAAmBA,EAAEA,EAAE,aAAa,KAAK,eAAeA,EAAEA,EAAE,YAAY,KAAK,cAAcA,EAAEA,EAAE,aAAa,KAAK,eAAeA,EAAEA,EAAE,cAAc,KAAK,gBAAgBA,EAAEA,EAAE,cAAc,KAAK,gBAAgBA,EAAEA,EAAE,gBAAgB,KAAK,kBAAkBA,EAAEA,EAAE,cAAc,KAAK,gBAAgBA,EAAEA,EAAE,eAAe,KAAK,iBAAiBA,EAAEA,EAAE,cAAc,KAAK,gBAAgBA,EAAEA,EAAE,kBAAkB,KAAK,oBAAoBA,EAAEA,EAAE,YAAY,KAAK,cAAcA,EAAEA,EAAE,gBAAgB,KAAK,kBAAkBA,EAAEA,EAAE,eAAe,KAAK,iBAAiBA,EAAEA,EAAE,cAAc,KAAK,gBAAgBA,EAAEA,EAAE,cAAc,KAAK,eAAe,GAAG+kE,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAAShlE,EAAE,CAAC,IAAI,GAAG,SAASE,EAAE,CAACA,EAAEA,EAAE,OAAO,GAAG,SAASA,EAAEA,EAAE,GAAG,GAAG,KAAKA,EAAEA,EAAE,GAAG,GAAG,IAAI,GAAG,EAAEF,EAAE,0BAA0BA,EAAE,wBAAwB,CAAC,EAAE,CAAC,GAAGglE,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,CAAC,EAAE,SAASC,GAAGllE,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,SAASF,EAAE,SAAS,SAAS,OAAO,CAAC,EAAE,MAAM,CAAC,EAAE,eAAe,CAAC,EAAEilE,GAAGjlE,GAAGE,CAAC,CAAC,SAASilE,GAAGnlE,EAAE,CAAC,OAAOilE,GAAGjlE,EAAE,CAAC,SAASolE,GAAGplE,EAAE,CAAC,OAAOilE,GAAGjlE,EAAE,CAAC,SAASqlE,EAAErlE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAE,EAAE,YAAYP,GAAG,GAAG,GAAG,EAAE,kBAAkB,OAAO,CAAC,IAAIiC,EAAE,EAAE,gBAAgBC,EAAE,EAAE,gBAAgB,EAAE,OAAO,EAAE,gBAAgB,OAAOD,EAAE,EAAE,EAAE,cAAc,GAAG,EAAE,OAAO,SAAS,OAAOqjE,GAAG,EAAE,WAAW,EAAE,iBAAiBplE,EAAEI,EAAEC,CAAC,EAAE,GAAG,EAAE,OAAO,UAAU,OAAO,EAAE,WAAW,MAAM0B,EAAEC,CAAC,EAAE,IAAIY,GAAGwiE,GAAGxiE,EAAE5C,EAAEI,EAAEC,CAAC,CAAC,EAAE,IAAI4B,EAAEmjE,GAAG,EAAE,WAAW,MAAMrjE,CAAC,EAAE,GAAG/B,EAAEI,EAAEC,CAAC,EAAEqC,EAAET,EAAE,SAAS,EAAE,OAAO,EAAE,OAAO,SAASS,EAAE,GAAGikB,EAAE,cAAc1kB,EAAE,MAAMS,CAAC,CAAC,CAAC,IAAI,EAAE,EAAE,WAAW5C,GAAG,OAAO,GAAG,EAAE,KAAK,CAAC,SAASslE,GAAGtlE,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAEglE,GAAGvlE,CAAC,EAAE,GAAGM,GAAG,KAAK,CAAC,IAAI2B,EAAE3B,EAAE,yBAAyBC,CAAC,EAAE,GAAG0B,GAAG,KAAK,OAAOA,CAAC,CAAC,IAAI,EAAE/B,EAAE,kBAAkB,KAAK+B,GAAG,CAAC,CAAC,EAAEujE,GAAGjlE,EAAE0B,CAAC,EAAE,EAAE,OAAO,IAAI,OAAO,EAAEujE,GAAGjlE,EAAE,CAAC,GAAG,GAAG,MAAM,CAAC,SAASklE,GAAGzlE,EAAE,EAAEE,EAAE,CAAC,OAAO,EAAEslE,GAAGxlE,EAAEE,EAAE,gBAAgB,EAAE,CAAC,SAASwlE,GAAG1lE,EAAE,EAAE,CAAC,GAAG,CAACE,EAAEI,EAAEC,CAAC,EAAEglE,GAAGvlE,CAAC,EAAE,MAAM,CAACwlE,GAAGtlE,EAAE,GAAG,EAAE,gBAAgB,EAAEI,EAAEC,CAAC,CAAC,CAAC,SAASilE,GAAGxlE,EAAE,EAAE,CAAC,OAAO,EAAE,GAAGA,KAAK,IAAIA,CAAC,CAAC,SAASulE,GAAGvlE,EAAE,CAAC,IAAI,EAAEA,EAAE,MAAM,GAAG,EAAE,GAAG,EAAE,SAAS,EAAE,MAAM,CAACA,EAAE,EAAE,MAAM,EAAE,IAAIE,EAAE,EAAE,GAAGI,EAAE,EAAE,SAAS,EAAE,EAAE,GAAG,OAAOC,EAAE,OAAO,EAAE,EAAE,OAAO,EAAE,EAAE,MAAM,CAACL,EAAEK,EAAED,CAAC,CAAC,CAAC,SAASqlE,GAAG3lE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE+kE,EAAE,MAAMrlE,EAAE,EAAEE,CAAC,EAAE,GAAGI,IAAI,WAAW,CAACA,EAAE+kE,EAAE,mBAAmBrlE,EAAE,EAAEE,CAAC,EAAE,IAAIK,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAE,EAAE,IAAIA,EAAE,GAAG,GAAGD,EAAE,EAAE,GAAGC,EAAE,GAAG,GAAGD,EAAE,EAAE,EAAE,GAAG,OAAOC,CAAC,CAAC,OAAOD,CAAC,CAAC,SAASslE,GAAG5lE,EAAE,CAAC,OAAOA,EAAE,KAAKA,EAAE0wB,GAAG1wB,CAAC,CAAC,CAAC,IAAI6lE,GAAG,CAAC,EAAEzlE,GAAGylE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,UAAU,KAAK,SAAS,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAE3lE,GAAG2lE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,OAAO,KAAK,aAAa,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,OAAO,KAAK,aAAa,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAE7lE,GAAG6lE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,kBAAkB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,MAAM,EAAE,KAAK,iBAAiB,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,UAAU,KAAK,SAAS,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,aAAa,KAAK,YAAY,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,OAAO,eAAe,KAAK,cAAc,KAAK,MAAM,EAAE,CAAC,OAAO,mBAAmB,KAAK,iBAAiB,KAAK,MAAM,EAAE,CAAC,OAAO,2BAA2B,KAAK,yBAAyB,KAAK,MAAM,EAAE,CAAC,OAAO,oBAAoB,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,qBAAqB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,uBAAuB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,wBAAwB,KAAK,sBAAsB,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,qBAAqB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,qBAAqB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,MAAM,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,KAAK,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,MAAM,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,iBAAiB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,MAAM,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,MAAM,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,mBAAmB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,uBAAuB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,kBAAkB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,OAAO,eAAe,KAAK,cAAc,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,kBAAkB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,mBAAmB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,qBAAqB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,qBAAqB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,mBAAmB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,mBAAmB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAE/lE,GAAG+lE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,UAAU,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,UAAU,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,UAAU,EAAE,CAAC,OAAO,oBAAoB,KAAK,mBAAmB,KAAK,WAAW,aAAa,CAAC,EAAE,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,UAAU,EAAE,CAAC,OAAO,yBAAyB,KAAK,sBAAsB,KAAK,MAAM,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,UAAU,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,UAAU,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,SAAS,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,KAAK,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,WAAW,KAAK,WAAW,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,gBAAgB,KAAK,gBAAgB,KAAK,MAAM,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,MAAM,EAAE,CAAC,OAAO,oBAAoB,KAAK,mBAAmB,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,eAAe,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,WAAW,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,oBAAoB,KAAK,mBAAmB,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,mBAAmB,KAAK,gBAAgB,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,MAAM,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,WAAW,aAAa,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,SAAS,aAAa,IAAI,EAAE,CAAC,OAAO,kBAAkB,KAAK,iBAAiB,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,oBAAoB,KAAK,mBAAmB,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,WAAW,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,kBAAkB,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,MAAM,EAAE,CAAC,OAAO,oBAAoB,KAAK,mBAAmB,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,wBAAwB,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,MAAM,EAAE,CAAC,OAAO,oBAAoB,KAAK,mBAAmB,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,6BAA6B,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,WAAW,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,MAAM,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,WAAW,aAAa,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,oBAAoB,KAAK,mBAAmB,KAAK,WAAW,aAAa,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,MAAM,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,QAAQ,KAAK,YAAY,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEjmE,GAAGimE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,OAAO,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,MAAM,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,MAAM,EAAE,KAAK,WAAW,KAAK,SAAS,aAAa,CAAC,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,uBAAuB,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,SAAS,aAAa,EAAE,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,IAAI,KAAK,IAAI,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,SAAS,KAAK,SAAS,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,SAAS,KAAK,SAAS,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,SAAS,aAAa,EAAE,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,IAAI,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,kBAAkB,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,SAAS,KAAK,SAAS,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,SAAS,aAAa,EAAE,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,IAAI,KAAK,IAAI,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,eAAe,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEnmE,GAAGmmE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,sBAAsB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,iBAAiB,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,iBAAiB,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,cAAc,KAAK,YAAY,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,yBAAyB,KAAK,qBAAqB,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,iBAAiB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,YAAY,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAErmE,GAAGqmE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,aAAa,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,iBAAiB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,SAAS,KAAK,SAAS,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,iBAAiB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEvmE,GAAGumE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,yBAAyB,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,QAAQ,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,OAAO,EAAE,CAAC,SAAS,WAAW,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,IAAI,KAAK,SAAS,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,IAAI,KAAK,SAAS,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,OAAO,UAAU,KAAK,SAAS,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,QAAQ,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,eAAe,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,0BAA0B,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,MAAM,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,MAAM,KAAK,MAAM,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEzmE,GAAGymE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,YAAY,SAAS,aAAa,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,QAAQ,EAAE,CAAC,OAAO,wBAAwB,KAAK,qBAAqB,KAAK,MAAM,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,OAAO,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,aAAa,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,QAAQ,EAAE,CAAC,OAAO,wBAAwB,KAAK,qBAAqB,KAAK,MAAM,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,OAAO,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,MAAM,KAAK,MAAM,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,MAAM,KAAK,MAAM,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,kBAAkB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,MAAM,KAAK,MAAM,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,MAAM,KAAK,MAAM,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,kBAAkB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAE3mE,GAAG2mE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,iBAAiB,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,MAAM,EAAE,CAAC,OAAO,qBAAqB,KAAK,mBAAmB,KAAK,MAAM,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,wBAAwB,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,MAAM,EAAE,CAAC,OAAO,qBAAqB,KAAK,mBAAmB,KAAK,MAAM,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,WAAW,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,SAAS,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,OAAO,sBAAsB,KAAK,qBAAqB,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,6BAA6B,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,YAAY,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAE7mE,GAAG6mE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,QAAQ,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,eAAe,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,YAAY,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,YAAY,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAE/mE,GAAG+mE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,eAAe,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,WAAW,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,SAAS,aAAa,IAAI,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,kBAAkB,KAAK,iBAAiB,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,UAAU,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,WAAW,KAAK,WAAW,KAAK,QAAQ,EAAE,CAAC,OAAO,IAAI,KAAK,IAAI,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEjnE,GAAGinE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,gBAAgB,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,OAAO,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,iBAAiB,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,WAAW,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,SAAS,aAAa,IAAI,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,mBAAmB,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,WAAW,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,SAAS,aAAa,IAAI,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,mBAAmB,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,WAAW,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,SAAS,aAAa,IAAI,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,eAAe,KAAK,SAAS,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,mBAAmB,KAAK,kBAAkB,KAAK,OAAO,aAAa,GAAG,aAAa,EAAE,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEnnE,GAAGmnE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,WAAW,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,MAAM,EAAE,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,MAAM,EAAE,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,MAAM,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAErnE,GAAGqnE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,GAAG,KAAK,UAAU,KAAK,SAAS,EAAE,CAAC,MAAM,GAAG,KAAK,OAAO,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,IAAI,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,UAAU,KAAK,SAAS,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,IAAI,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,aAAa,KAAK,YAAY,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,mBAAmB,KAAK,kBAAkB,KAAK,OAAO,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,eAAe,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,MAAM,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,aAAa,KAAK,YAAY,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,WAAW,KAAK,UAAU,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,gBAAgB,KAAK,cAAc,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,mBAAmB,KAAK,iBAAiB,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,UAAU,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,MAAM,KAAK,MAAM,KAAK,SAAS,aAAa,EAAE,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,kBAAkB,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,kBAAkB,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,mBAAmB,KAAK,kBAAkB,KAAK,OAAO,aAAa,GAAG,aAAa,EAAE,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEvnE,GAAGunE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,sBAAsB,SAAS,SAAS,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,SAAS,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,WAAW,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,SAAS,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,mBAAmB,SAAS,SAAS,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEznE,GAAGynE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,MAAM,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAE3nE,GAAG2nE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,eAAe,SAAS,SAAS,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,QAAQ,EAAE,CAAC,OAAO,eAAe,KAAK,cAAc,KAAK,UAAU,EAAE,CAAC,OAAO,WAAW,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,QAAQ,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,QAAQ,EAAE,CAAC,OAAO,2BAA2B,KAAK,yBAAyB,KAAK,MAAM,CAAC,EAAE,QAAQ,CAAC,SAAS,eAAe,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,SAAS,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,YAAY,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,aAAa,KAAK,YAAY,KAAK,MAAM,CAAC,EAAE,QAAQ,CAAC,UAAU,SAAS,OAAO,CAAC,EAAE,CAAC,SAAS,yBAAyB,SAAS,SAAS,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAE7nE,GAAG6nE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,OAAO,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,SAAS,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,OAAO,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,iBAAiB,KAAK,gBAAgB,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,iBAAiB,eAAe,KAAK,OAAO,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,iBAAiB,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,WAAW,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,iBAAiB,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,eAAe,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,aAAa,KAAK,YAAY,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,KAAK,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,KAAK,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,CAAC,EAAMC,GAAG,KAAK,CAAC,WAAW,UAAU,CAAC,OAAO,KAAK,YAAY,KAAK,UAAU,IAAI,KAAK,CAAC,aAAa,CAAC,IAAIrnE,EAAE,CAAC+kE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,EAAE,EAAE/nE,EAAE,CAAC,EAAE,OAAO,GAAGY,EAAE,IAAI,GAAG,EAAE,IAAI,CAAC,EAAE,KAAK,UAAUZ,EAAE,OAAO,CAAC,EAAEK,KAAK,EAAEA,EAAE,UAAUA,EAAE,GAAG,CAAC,CAAC,CAAC,CAAC,eAAeO,EAAEZ,EAAE,CAAC,EAAE,CAAC,IAAI,EAAEY,EAAE,KAAKP,EAAE,CAAC,EAAEwB,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAEC,EAAE,EAAE,OAAO,CAACiC,EAAEC,KAAKD,EAAEC,EAAE,MAAM,KAAK,QAAQA,CAAC,EAAEA,EAAE,GAAG,WAAW,aAAa,EAAE5D,EAAE,KAAK2D,EAAEC,EAAE,KAAK,EAAEA,EAAE,KAAK,QAAQpC,EAAE,KAAKmC,EAAEC,EAAE,KAAK,GAAGA,EAAE,OAAO,MAAMA,EAAE,MAAM,SAAS,IAAInC,EAAE,KAAKkC,EAAEC,EAAE,KAAK,EAAED,GAAG,CAAC,CAAC,EAAEhC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEU,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE1C,GAAG,OAAO0C,EAAE,KAAK,oBAAoB1C,EAAE,MAAM,EAAE,EAAE,KAAK,oBAAoBA,EAAE,OAAO,GAAG,IAAI4C,EAAE,OAAO,KAAKb,CAAC,EAAEa,EAAE,QAAQoB,GAAG,CAAC,IAAIC,EAAElC,EAAEiC,GAAGC,EAAE,WAAW,QAAQ,CAACoD,EAAE,IAAI,CAAC,GAAG,CAAC5C,EAAE,CAACC,CAAC,EAAE8gE,GAAGn+D,CAAC,EAAE1C,EAAE5C,EAAE0C,GAAG,GAAGE,EAAE,SAAS,KAAK,CAAC,IAAIC,EAAED,EAAE,QAAQ,QAAQD,CAAC,EAAE,GAAGE,IAAI,GAAG,CAAC,IAAI0C,EAAE,GAAG7C,KAAKG,IAAIX,EAAE,WAAW,GAAGqD,CAAC,CAAC,CAACrD,EAAE,OAAO,KAAKU,CAAC,EAAEA,EAAE,SAAS,KAAKV,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,OAAO,KAAK,CAAC,EAAE,SAAS,EAAErB,EAAE,QAAQoB,GAAG,CAAC,IAAIC,EAAElC,EAAEiC,GAAGC,EAAE,SAAS,SAAS,GAAG,EAAE,KAAKA,CAAC,CAAC,CAAC,EAAE,OAAO,KAAK,CAAC,EAAE,QAAQD,GAAG,CAAC,GAAG,CAACC,CAAC,EAAEuhE,GAAGxhE,CAAC,EAAEqD,EAAEtF,EAAEkC,GAAGoD,GAAG,OAAOA,EAAE,aAAa,EAAErD,GAAG,EAAE,KAAKqD,CAAC,EAAE,CAAC,EAAE,OAAO,KAAK3E,CAAC,EAAE,OAAO,EAAE,OAAO,KAAKA,CAAC,EAAE,QAAQsB,GAAG,CAAC,GAAG,CAACC,CAAC,EAAEuhE,GAAGxhE,CAAC,EAAEqD,EAAEtF,EAAEkC,GAAGoD,IAAIA,EAAE,aAAa3E,EAAEsB,GAAGhC,EAAE,KAAKqF,CAAC,EAAE,CAAC,EAAErF,EAAE3B,EAAE,IAAIwC,EAAE,CAAC,EAAEjC,EAAE,SAAS,MAAMA,EAAE,QAAQ,UAAU,OAAOiC,EAAEjC,EAAE,QAAQ,SAAS,OAAO,CAACoD,EAAEC,KAAKD,EAAEC,EAAE,UAAU,MAAM,KAAK,YAAYA,CAAC,EAAED,GAAG,CAAC,CAAC,GAAG,IAAIlB,EAAE,CAAC,MAAMf,EAAE,OAAOC,EAAE,QAAQ,EAAE,QAAQH,EAAE,aAAaxB,EAAE,UAAUL,EAAE,UAAU6C,CAAC,EAAE,OAAOf,EAAE,OAAO,IAAIgB,EAAE,UAAUhB,GAAGgB,CAAC,CAAC,oBAAoBlC,EAAE,CAAC,OAAO,OAAO,KAAKA,GAAG,CAAC,CAAC,EAAE,OAAO,CAACZ,EAAE,KAAKA,EAAEY,EAAE,GAAG,MAAM,EAAEZ,GAAG,CAAC,CAAC,CAAC,CAAC,QAAQY,EAAE,CAAC,IAAIZ,EAAEilE,GAAGrkE,EAAE,EAAE,GAAG,KAAK,UAAUA,EAAE,KAAK,CAAC,EAAEA,EAAE,MAAM,OAAOA,EAAE,KAAK,CAAC,GAAG,IAAI,EAAE,CAAC,KAAKA,EAAE,KAAK,GAAGA,EAAE,GAAG,SAASZ,EAAE,SAAS,YAAYY,EAAE,OAAO,CAAC,GAAG,IAAIP,GAAGA,EAAE,WAAW,GAAG,EAAEA,EAAE,MAAM,CAAC,EAAEA,CAAC,EAAE,OAAO,CAAC,EAAE,SAAS,CAAC,EAAE,YAAY,CAAC,EAAE,WAAW,CAAC,EAAE,SAASO,EAAE,KAAK,QAAQZ,EAAE,OAAO,EAAE,OAAOA,EAAE,QAAQ,OAAO,EAAE,YAAYA,EAAE,OAAO,OAAO,CAACK,EAAEwB,KAAKxB,EAAEwB,EAAE,MAAM,CAAC,KAAKA,EAAE,KAAK,gBAAgBA,EAAE,MAAM,cAAcA,EAAE,GAAG,EAAExB,GAAG,CAAC,CAAC,GAAGL,EAAE,OAAO,OAAO,EAAE,WAAWA,EAAE,MAAM,OAAO,CAACK,EAAEwB,IAAI,CAAC,IAAIC,EAAED,EAAE,KAAKE,EAAE,OAAOF,EAAE,KAAK,CAAC,IAAI,SAASE,EAAEmmE,GAAGtnE,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAEmmE,GAAGtnE,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,WAAWE,EAAEomE,GAAGvnE,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAEomE,GAAGvnE,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,SAASE,EAAEqmE,GAAGxnE,EAAE,KAAKiB,EAAE,OAAOA,EAAE,cAAc,CAAC,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAEqmE,GAAGxnE,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,WAAWE,EAAEsmE,GAAGznE,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAEsmE,GAAGznE,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,OAAOE,EAAEumE,GAAG1nE,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAEumE,GAAG1nE,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,SAASE,EAAEwmE,GAAG3nE,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAEwmE,GAAG3nE,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,QAAQE,EAAEymE,GAAG5nE,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAEymE,GAAG5nE,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,UAAUE,EAAE0mE,GAAG7nE,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAE0mE,GAAG7nE,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,QAAQE,EAAE2mE,GAAG9nE,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAE2mE,GAAG9nE,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,UAAUE,EAAE4mE,GAAG/nE,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAE4mE,GAAG/nE,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,OAAOE,EAAE6mE,GAAGhoE,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAE6mE,GAAGhoE,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,SAAS,IAAI,UAAU,MAAM,QAAQ,MAAM,IAAI,MAAM,2BAA2BA,EAAE,gBAAgBjB,EAAE,IAAI,CAAC,CAAC,OAAOP,EAAEwB,EAAE,MAAM,CAAC,MAAME,EAAE,KAAKD,CAAC,EAAEzB,CAAC,EAAE,CAAC,CAAC,GAAG,CAAC,CAAC,YAAYO,EAAE,CAAC,IAAIZ,EAAEY,EAAE,QAAQ,EAAE,CAAC,EAAEP,EAAE,CAAC,EAAEwB,EAAE,CAAC,EAAE7B,GAAG,OAAO6B,EAAE7B,EAAE,OAAO,CAAC2C,EAAEC,KAAKD,EAAEC,EAAE,MAAM,KAAK,QAAQA,CAAC,EAAEA,EAAE,KAAK,SAASvC,EAAE,KAAKsC,EAAEC,EAAE,KAAK,EAAED,GAAG,CAAC,CAAC,GAAG,IAAIb,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAEnB,EAAE,UAAU,SAAS,QAAQ+B,GAAG,CAAC,GAAG,CAACC,CAAC,EAAE4iE,GAAG7iE,EAAE,IAAI,EAAEE,EAAE,CAAC,KAAKD,EAAE,GAAG,cAAc,OAAO,CAAC,EAAE,WAAW,CAAC,EAAE,SAAS,QAAQ,YAAY,CAAC,EAAE,WAAW,CAAC,MAAM,CAAC,MAAMimE,GAAGlmE,EAAE,IAAI,EAAE,KAAK,OAAO,CAAC,EAAE,SAAS,CAAC,CAAC,EAAEE,EAAE,aAAaF,EAAE,KAAKb,EAAE,KAAKe,CAAC,EAAEhB,EAAEe,GAAGC,CAAC,CAAC,EAAE,OAAO,KAAKhB,CAAC,EAAE,QAAQc,GAAG,CAAC,IAAIC,EAAEf,EAAEc,GAAGC,EAAE,WAAW,QAAQ,CAACC,EAAEC,IAAI,CAAC,GAAG,CAAC,EAAE,CAACmB,CAAC,EAAEuhE,GAAG3iE,CAAC,EAAEwE,EAAExF,EAAE,GAAG,GAAGwF,EAAE,SAAS,KAAK,CAAC,IAAIxC,EAAEwC,EAAE,QAAQ,QAAQpD,CAAC,EAAE,GAAGY,IAAI,GAAG,CAAC,IAAIJ,EAAE,GAAG,KAAKI,IAAIjC,EAAE,WAAWE,GAAG2B,CAAC,CAAC,CAAC7B,EAAE,OAAO,KAAKyE,CAAC,EAAEA,EAAE,SAAS,KAAKzE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,IAAIX,EAAErB,EAAE,IAAIA,EAAE,UAAU,UAAU,QAAQ+B,GAAG,CAAC,GAAG,CAACC,EAAEC,CAAC,EAAE2iE,GAAGvjE,EAAEU,EAAE,KAAK,EAAEG,EAAEjB,EAAEe,GAAGE,GAAG,OAAOA,EAAE,cAAcD,EAAEd,EAAE,KAAKe,CAAC,EAAE,CAAC,EAAE,IAAIJ,EAAE,KAAK,mBAAmB9B,CAAC,EAAE,MAAM,CAAC,MAAMiB,EAAE,OAAOC,EAAE,QAAQC,EAAE,QAAQ1B,EAAE,aAAa,EAAE,UAAUqC,CAAC,CAAC,CAAC,mBAAmB9B,EAAE,CAAC,MAAM,CAAC,WAAWA,EAAE,UAAU,KAAK,OAAOA,EAAE,UAAU,SAAS,OAAO,CAACZ,EAAE,KAAKA,EAAE,EAAE,MAAM,KAAK,mBAAmB,CAAC,EAAEA,GAAG,CAAC,CAAC,EAAE,QAAQY,EAAE,UAAU,UAAU,OAAO,CAACZ,EAAE,KAAKA,EAAE,EAAE,MAAM,KAAK,mBAAmB,EAAEY,EAAE,GAAG,EAAEZ,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBY,EAAEZ,EAAE,CAAC,IAAI,EAAEY,EAAE,KAAK,OAAOZ,GAAG,OAAO,EAAEA,EAAE,IAAI,CAAC,KAAK,EAAE,MAAMY,EAAE,IAAI,CAAC,CAAC,EAAE,SAASkoE,GAAGhpE,EAAE,CAAC,IAAI,EAAEya,EAAE,EAAE,OAAO,GAAG,OAAO,EAAE,MAAM,YAAY,OAAO,EAAE,KAAKza,CAAC,EAAE,GAAG,OAAO,QAAQ,YAAY,OAAO,IAAI,OAAOA,EAAE,QAAQ,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,kFAAkF,CAAC,CAAC,SAASipE,GAAGjpE,EAAE,EAAE,CAAC,IAAIE,EAAE,MAAM,QAAQF,CAAC,EAAE,OAAO,aAAa,MAAM,KAAKA,CAAC,EAAEgpE,GAAGhpE,CAAC,EAAE,OAAO,EAAEE,EAAEA,EAAE,YAAY,CAAC,CAAC,SAASkoE,GAAGpoE,EAAE,EAAEE,EAAEI,EAAE,GAAG,CAAC,IAAIC,EAAEP,EAAE,GAAG,OAAOO,GAAG,KAAK0oE,GAAG1oE,EAAE,EAAED,CAAC,EAAEJ,CAAC,CAAC,SAASsoE,GAAGxoE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,GAAG,OAAOM,EAAEA,EAAE,EAAEJ,CAAC,CAAC,SAASooE,GAAGtoE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,IAAI,CAAC,EAAEO,EAAED,EAAE,GAAG,KAAKA,EAAE,EAAEA,EAAE,GAAG,KAAKA,EAAE,EAAEJ,EAAE,OAAO,OAAOK,GAAG,SAASA,EAAE,SAASA,EAAE,EAAE,CAAC,CAAC,SAASwoE,GAAG/oE,EAAE,CAAC,OAAO,OAAOA,GAAG,WAAWA,EAAE+kE,GAAG/kE,IAAIA,EAAE,CAAC,KAAK+kE,GAAG,SAAS,KAAKA,GAAG,QAAQ,MAAM,UAAU,KAAKA,GAAG,SAAS,KAAKA,GAAG,SAAS,KAAKA,GAAG,QAAQ,KAAKA,GAAG,SAAS,MAAM,QAAQ,KAAKA,GAAG,QAAQ,MAAM,OAAO,KAAKA,GAAG,UAAU,MAAM,UAAU,KAAKA,GAAG,UAAU,MAAM,SAAS,QAAQ,OAAO,IAAI,CAAC,CAAC,SAAS+D,GAAG9oE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,GAAG,OAAOM,GAAGA,EAAE,KAAKA,EAAE,KAAK,KAAKJ,CAAC,CAAC,SAAS0oE,GAAG5oE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,GAAG,OAAOM,GAAGA,EAAE,KAAKyoE,GAAGzoE,EAAE,IAAI,EAAEJ,CAAC,CAAC,SAAS2oE,GAAG7oE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,GAAG,OAAOM,GAAGA,EAAE,MAAMA,EAAE,KAAK,KAAKA,EAAE,KAAK,KAAK,IAAIC,GAAGwoE,GAAGxoE,CAAC,CAAC,EAAEL,CAAC,CAAC,SAASgpE,GAAGlpE,EAAE,CAAC,GAAG,CAACA,EAAE,YAAY,OAAOA,EAAE,KAAK,KAAKA,EAAE,IAAI,IAAI,GAAG,OAAO,EAAE,MAAM,SAAS,EAAE,KAAK,SAAS,EAAE,KAAK,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,SAAS0oE,GAAG1oE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,GAAG,OAAOM,GAAGA,EAAE,MAAM4oE,GAAG5oE,EAAE,KAAK,EAAEJ,CAAC,CAAC,SAASqoE,GAAGvoE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,GAAG,OAAOM,IAAIA,EAAE,KAAK,GAAGA,EAAE,KAAK,EAAE,OAAOA,EAAE,KAAK,EAAEA,EAAE,KAAK,IAAI,CAAC,GAAG,IAAIC,GAAG,OAAOA,GAAG,SAASA,EAAE,SAASA,EAAE,EAAE,CAAC,EAAEL,CAAC,CAAC,SAASmoE,GAAGroE,EAAE,EAAEE,EAAEI,EAAE,GAAG,CAAC,IAAIC,EAAEP,EAAE,GAAG,OAAOO,GAAGA,EAAE,MAAMA,EAAE,KAAK,EAAEA,EAAE,KAAK,EAAE,IAAI,GAAG0oE,GAAG,EAAE3oE,CAAC,CAAC,EAAEJ,CAAC,CAAC,SAASyoE,GAAG3oE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,GAAG,OAAOM,GAAGA,EAAE,MAAMA,EAAE,KAAK,MAAMA,EAAE,KAAK,MAAM,IAAIC,GAAG2oE,GAAG3oE,CAAC,CAAC,EAAEL,CAAC,CAAC,SAASuoE,GAAGzoE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,GAAG,OAAOM,GAAGA,EAAE,MAAMA,EAAE,KAAK,EAAEA,EAAE,KAAK,EAAEJ,CAAC,CAAC,IAAIipE,GAAG,KAAK,CAAC,YAAYroE,EAAEZ,EAAE,EAAE,CAAC,KAAK,KAAKY,EAAE,KAAK,UAAUZ,EAAE,KAAK,QAAQ,EAAE,KAAK,OAAO,CAAC,EAAE,KAAK,MAAM,CAAC,EAAE,KAAK,OAAOY,EAAE,WAAW,IAAIP,GAAG,KAAK,SAASA,CAAC,CAAC,EAAEO,EAAE,UAAU,OAAO,KAAK,MAAM,OAAO,KAAKA,EAAE,QAAQ,EAAE,OAAO,CAACP,EAAEwB,KAAKxB,EAAEwB,GAAG,KAAK,QAAQA,CAAC,EAAExB,GAAG,CAAC,CAAC,EAAE,CAAC,SAASO,EAAE,CAAC,OAAOwkE,GAAGxkE,EAAE,KAAK,UAAU,KAAK,OAAO,CAAC,CAAC,QAAQA,EAAEZ,EAAE,CAAC,IAAI,EAAE,KAAK,KAAK,SAASY,GAAG,GAAG,EAAE,QAAQ,KAAK,OAAOwkE,GAAGxkE,EAAE,KAAK,UAAU,KAAK,OAAO,EAAE,GAAG,EAAE,GAAG,MAAM,EAAE,GAAG,KAAK,OAAOwnE,GAAG,KAAK,KAAK,SAASxnE,EAAEZ,CAAC,EAAE,GAAG,EAAE,GAAG,KAAK,OAAOkoE,GAAG,KAAK,KAAK,SAAStnE,EAAEZ,CAAC,EAAE,GAAG,EAAE,GAAG,KAAK,OAAOsoE,GAAG,KAAK,KAAK,SAAS1nE,EAAEZ,CAAC,EAAE,GAAG,EAAE,OAAO,KAAK,OAAOwoE,GAAG,KAAK,KAAK,SAAS5nE,EAAEZ,CAAC,EAAE,GAAG,EAAE,MAAM,KAAK,OAAO0oE,GAAG,KAAK,KAAK,SAAS9nE,EAAEZ,CAAC,EAAE,GAAG,EAAE,MAAM,KAAK,CAAC,GAAG,EAAE,KAAK,GAAG,MAAM,EAAE,KAAK,GAAG,KAAK,OAAOqoE,GAAG,KAAK,KAAK,SAASznE,EAAEZ,CAAC,EAAE,GAAG,EAAE,KAAK,GAAG,KAAK,OAAOmoE,GAAG,KAAK,KAAK,SAASvnE,EAAEZ,CAAC,EAAE,GAAG,EAAE,KAAK,OAAO,KAAK,OAAOyoE,GAAG,KAAK,KAAK,SAAS7nE,EAAEZ,CAAC,EAAE,GAAG,EAAE,KAAK,GAAG,KAAK,OAAOuoE,GAAG,KAAK,KAAK,SAAS3nE,EAAEZ,CAAC,EAAE,GAAG,EAAE,KAAK,MAAM,KAAK,OAAO2oE,GAAG,KAAK,KAAK,SAAS/nE,EAAEZ,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,EAAMkpE,GAAG,CAAC,EAAEhpE,GAAGgpE,GAAG,CAAC,gBAAgB,IAAIn9C,GAAG,IAAI,IAAIoN,GAAG,KAAK,IAAIE,GAAG,MAAM,IAAIE,GAAG,IAAI,IAAIZ,EAAE,KAAK,IAAIc,GAAG,IAAI,IAAIE,GAAG,IAAI,IAAIE,GAAG,OAAO,IAAIE,GAAG,OAAO,IAAIE,GAAG,KAAK,IAAIE,GAAG,MAAM,IAAIE,GAAG,KAAK,IAAIE,GAAG,MAAM,IAAIE,GAAG,MAAM,IAAIE,GAAG,QAAQ,IAAIsB,GAAG,UAAU,IAAIE,GAAG,cAAc,IAAIU,GAAG,UAAU,IAAIK,GAAG,YAAY,IAAIE,GAAG,YAAY,IAAIE,GAAG,YAAY,IAAIE,GAAG,eAAe,IAAIT,GAAG,SAAS,IAAIW,GAAG,iBAAiB,IAAIyT,GAAG,cAAc,IAAIvT,GAAG,YAAY,IAAIE,GAAG,OAAO,IAAI1N,GAAG,KAAK,IAAIE,GAAE,KAAK,IAAI0N,GAAG,YAAY,IAAIG,GAAG,MAAM,IAAI3N,GAAG,QAAQ,IAAItE,GAAG,OAAO,IAAImQ,GAAG,SAAS,IAAIgC,GAAG,SAAS,IAAIE,GAAG,SAAS,IAAIE,GAAG,SAAS,IAAIE,GAAG,OAAO,IAAII,GAAG,OAAO,IAAIF,GAAG,gBAAgB,IAAIM,GAAG,OAAO,IAAIE,GAAG,gBAAgB,IAAII,GAAG,IAAI,IAAIE,GAAG,KAAK,IAAIE,GAAG,aAAa,IAAIoS,GAAG,QAAQ,IAAIlS,GAAG,OAAO,IAAIE,GAAG,cAAc,IAAIE,GAAG,aAAa,IAAIE,GAAG,gBAAgB,IAAIE,GAAG,KAAK,IAAIE,GAAG,WAAW,IAAIE,GAAG,IAAI,IAAI5H,GAAG,SAAS,IAAIoI,GAAG,IAAI,IAAIE,GAAG,QAAQ,IAAI0Q,GAAG,OAAO,IAAIxQ,GAAG,IAAI,IAAIE,GAAG,oBAAoB,IAAIuQ,GAAG,MAAM,IAAInR,GAAG,IAAI,IAAIc,GAAG,cAAc,IAAI0B,GAAG,IAAI,IAAIE,GAAG,WAAW,IAAIE,GAAG,MAAM,IAAIE,GAAG,IAAI,IAAII,GAAG,IAAI,IAAI0K,GAAG,KAAK,IAAIxQ,GAAG,MAAM,IAAIgG,GAAG,SAAS,IAAIpL,GAAG,MAAM,IAAIuZ,GAAG,OAAO,IAAIjO,GAAG,SAAS,IAAIyN,GAAG,QAAQ,IAAIvN,GAAG,aAAa,IAAIE,GAAG,KAAK,IAAIoK,GAAG,KAAK,IAAIva,GAAG,MAAM,IAAI8kB,GAAG,YAAY,IAAI/G,GAAG,MAAM,IAAItD,GAAG,SAAS,IAAIpK,GAAG,MAAM,IAAIE,GAAG,MAAM,IAAIE,GAAG,UAAU,IAAIE,GAAG,KAAK,IAAIE,GAAG,UAAU,IAAIE,GAAG,OAAO,IAAIgU,GAAG,SAAS,IAAI/T,GAAG,2BAA2B,IAAIE,GAAG,IAAI,IAAIE,GAAG,MAAM,IAAIE,GAAG,WAAW,IAAIW,GAAG,WAAW,IAAII,GAAG,UAAU,IAAIE,GAAG,WAAW,IAAIE,GAAG,WAAW,IAAIE,GAAG,UAAU,IAAIE,GAAG,WAAW,IAAIE,GAAG,OAAO,IAAIiS,GAAG,WAAW,IAAI7R,GAAG,OAAO,IAAI5U,GAAG,IAAI,IAAI0P,GAAG,QAAQ,IAAIoF,GAAG,UAAU,IAAIE,GAAG,kBAAkB,IAAIE,GAAG,QAAQ,IAAIE,GAAG,KAAK,IAAIE,GAAG,SAAS,IAAIG,GAAG,IAAI,IAAI7F,GAAG,QAAQ,IAAI+F,GAAG,UAAU,IAAIE,GAAG,IAAI,IAAIE,GAAG,QAAQ,IAAIE,GAAG,cAAc,IAAIyI,GAAG,IAAI,IAAIpY,EAAE,aAAa,IAAI6P,GAAG,YAAY,IAAIE,GAAG,IAAI,IAAI1U,GAAG,KAAK,IAAI6O,GAAG,SAAS,IAAI+F,GAAG,OAAO,IAAIrW,GAAG,KAAK,IAAIsV,GAAG,SAAS,IAAIiB,GAAG,GAAG,IAAIpd,EAAE,aAAa,IAAIsd,GAAG,IAAI,IAAIE,GAAG,MAAM,IAAIE,GAAG,MAAM,IAAIE,GAAG,MAAM,IAAIE,GAAG,MAAM,IAAIE,GAAG,KAAK,IAAIM,GAAG,IAAI,IAAI7H,GAAG,MAAM,IAAI+H,GAAG,MAAM,IAAI/Z,GAAG,KAAK,IAAIia,GAAG,aAAa,IAAIE,GAAG,qBAAqB,IAAIE,GAAG,KAAK,IAAIE,GAAG,YAAY,IAAIM,GAAG,aAAa,IAAIE,GAAG,qBAAqB,IAAIE,GAAG,cAAc,IAAIE,GAAG,MAAM,IAAIC,GAAG,KAAK,IAAIrX,GAAG,WAAW,IAAIuX,GAAG,KAAK,IAAIE,GAAG,MAAM,IAAIE,GAAG,QAAQ,IAAIpQ,EAAE,QAAQ,IAAIsQ,GAAG,UAAU,IAAIE,GAAG,UAAU,IAAIE,GAAG,UAAU,IAAIE,GAAG,UAAU,IAAIE,GAAG,KAAK,IAAIoC,GAAG,MAAM,IAAIlC,GAAG,MAAM,IAAIE,GAAG,OAAO,IAAIvK,GAAG,UAAU,IAAI6O,GAAG,aAAa,IAAIjK,GAAG,KAAK,IAAI6F,GAAG,gBAAgB,IAAIE,GAAG,eAAe,IAAIE,GAAG,QAAQ,IAAIhR,GAAG,KAAK,IAAIkR,GAAG,OAAO,IAAIwL,GAAG,IAAI,IAAItL,GAAG,KAAK,IAAIE,GAAG,MAAM,IAAIpR,GAAG,QAAQ,IAAIsR,GAAG,QAAQ,IAAIE,GAAG,QAAQ,IAAIE,GAAG,QAAQ,IAAIE,GAAG,QAAQ,IAAIE,GAAG,SAAS,IAAIpI,GAAG,eAAe,IAAI+D,GAAG,OAAO,IAAImP,GAAG,cAAc,IAAI3H,GAAG,SAAS,IAAIsH,GAAG,MAAM,IAAIjK,GAAG,KAAK,IAAInM,GAAG,OAAO,IAAIE,GAAG,kBAAkB,IAAIqM,GAAG,QAAQ,IAAIE,GAAG,MAAM,IAAIE,GAAG,KAAK,IAAIE,GAAG,aAAa,IAAIE,GAAG,OAAO,IAAI2J,GAAG,IAAI,IAAI/S,GAAG,IAAI,IAAIvD,GAAG,IAAI,IAAI6M,GAAG,KAAK,IAAIlT,GAAG,OAAO,IAAIvQ,GAAG,SAAS,IAAI0jB,GAAG,SAAS,IAAIC,GAAG,SAAS,IAAI3a,GAAG,SAAS,IAAI4a,GAAG,SAAS,IAAIC,GAAG,SAAS,IAAIC,GAAG,KAAK,IAAIrM,GAAG,KAAK,IAAIuM,GAAG,UAAU,IAAI1b,GAAG,gBAAgB,IAAI4b,GAAG,OAAO,IAAIE,GAAG,mBAAmB,IAAIE,GAAG,QAAQ,IAAIE,GAAG,WAAW,IAAIC,GAAG,SAAS,IAAIC,GAAG,MAAM,IAAI/P,GAAG,WAAW,IAAIkQ,GAAG,MAAM,IAAI/I,GAAG,UAAU,IAAIjH,EAAE,CAAC,EAAE,IAAIkoC,GAAG,CAACrpE,EAAE,EAAEE,EAAEI,EAAE8oE,KAAK,CAAC,OAAOppE,EAAE,GAAG,CAAC,IAAI,UAAU,IAAI,QAAQ,IAAI,MAAM,MAAM,CAACM,EAAE,IAAI+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAK+kE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,WAAW,IAAI,MAAM,MAAM,CAACI,EAAE,IAAI+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACI,EAAE,IAAI+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,UAAU,IAAI,MAAM,MAAM,CAACI,EAAE,IAAI+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,WAAW,MAAM,CAACI,EAAE,SAAS+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,WAAW,MAAM,CAACI,EAAE,SAAS+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACI,EAAE,IAAI+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,UAAU,MAAM,CAACI,EAAE,QAAQ+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,UAAU,MAAM,CAACI,EAAE,QAAQ+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACI,EAAE,IAAI+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,oBAAoB,MAAM,CAACI,EAAE,kBAAkB+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAMspE,GAAG,CAACtpE,EAAE,EAAEE,EAAEI,EAAE8oE,KAAK,CAAC,OAAOppE,EAAE,GAAG,CAAC,IAAI,MAAM,IAAI,aAAa,MAAM,CAACM,EAAE,IAAI+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAK+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACI,EAAE,MAAM+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAK+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACI,EAAE,MAAM+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAK+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACI,EAAE,MAAM+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACI,EAAE,MAAM+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAK+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,UAAU,MAAM,CAACI,EAAE,QAAQ+kE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACI,EAAE,IAAI+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAK+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACI,EAAE,IAAI+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACI,EAAE,IAAI+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACI,EAAE,IAAI+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACI,EAAE,MAAM+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACI,EAAE,MAAM+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACI,EAAE,IAAI+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACI,EAAE,MAAM+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAK+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACI,EAAE,IAAI+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,aAAa,MAAM,CAACI,EAAE,WAAW+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAK+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAK+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACI,EAAE,MAAM+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAK+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,UAAU,MAAM,CAACI,EAAE,QAAQ+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACI,EAAE,IAAI+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAK+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAK+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,WAAW,MAAM,CAACI,EAAE,SAAS+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAK+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,SAAS,MAAM,CAACI,EAAE,OAAO+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAK+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACI,EAAE,IAAI+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,cAAc,MAAM,CAACI,EAAE,YAAY+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACI,EAAE,MAAM+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACI,EAAE,MAAMglE,GAAGtlE,EAAE,WAAW,GAAG,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAK+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,YAAY,MAAM,CAACI,EAAE,UAAU+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACI,EAAE,MAAM+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACI,EAAE,MAAMglE,GAAGtlE,EAAE,WAAW,GAAG,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAE,SAASupE,GAAGvpE,EAAE,EAAEE,EAAE,GAAG,CAAC,GAAG,EAAE,OAAOF,GAAG,UAAU,OAAO,GAAG,UAAU,CAAC6mB,EAAE,OAAO7mB,EAAE,SAAS,EAAE,OAAO,IAAIE,EAAE,WAAWF,SAAS,cAAc,EAAE,QAAQM,EAAE,EAAEA,EAAEN,EAAE,OAAOM,IAAI,CAAC,IAAIC,EAAEP,EAAEM,GAAG,EAAE,EAAEA,GAAGumB,EAAE,OAAOtmB,EAAE,GAAG,EAAE,GAAGA,IAAI,EAAE,IAAIL,EAAE,WAAWF,SAAS,cAAc,CAAC,CAAC,CAAC,CAAC,SAASwpE,GAAGxpE,EAAE,CAAC,MAAM,EAAE,OAAOA,GAAG,UAAUA,EAAE,KAAK,GAAG,EAAE,CAAC,EAAE,CAAC,SAASypE,GAAGzpE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEopE,GAAG1pE,EAAEE,CAAC,EAAEK,EAAE,CAACipE,GAAGlpE,CAAC,EAAE,GAAGC,GAAG,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,qFAAqFD,GAAG,EAAE,GAAGC,GAAG,EAAE,QAAQ,GAAG,CAACD,EAAEopE,GAAG,EAAE,MAAMppE,CAAC,CAAC,CAAC,EAAE,CAACkpE,GAAGlpE,CAAC,EAAE,MAAM,IAAI,MAAM,mCAAmCA,GAAG,EAAE,OAAOA,CAAC,CAAC,SAASopE,GAAG1pE,EAAE,EAAE,CAAC,GAAG,OAAOA,GAAG,SAAS,OAAO,EAAE,GAAG,OAAO,GAAG,SAAS,OAAOA,EAAE,GAAGA,EAAE,SAAS,EAAE,OAAO,MAAM,IAAI,MAAM,oCAAoCA,SAAS,GAAG,EAAE,IAAIE,EAAE,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAEN,EAAE,OAAO,EAAEM,EAAE,CAAC,IAAIC,EAAEP,EAAEM,GAAG,EAAE,EAAEA,GAAG,GAAGC,GAAG,GAAG,GAAG,GAAGA,IAAI,EAAE,MAAM,IAAI,MAAM,oCAAoCP,SAAS,GAAG,EAAEE,EAAEI,GAAGC,GAAG,EAAEA,EAAE,CAAC,CAAC,OAAOL,CAAC,CAAC,IAAIypE,GAAG,KAAK,CAAC,YAAY7oE,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAEC,EAAE,CAAC,KAAK,KAAKnB,EAAE,KAAK,MAAMZ,EAAE,KAAK,QAAQ,EAAE,KAAK,aAAaK,EAAE,KAAK,uBAAuBwB,EAAE,KAAK,YAAYC,EAAE,KAAK,eAAeC,EAAE,KAAK,QAAQ,CAAC,EAAE,KAAK,QAAQ,GAAG,KAAK,SAAS2gC,GAAG,CAAC,EAAElP,GAAG,KAAK,QAAQ,CAAC,CAAC,IAAI,IAAI,CAAC,OAAO,KAAK,SAAS,EAAE,CAAC,IAAI,QAAQ,CAAC,OAAO,KAAK,OAAO,CAAC,cAAc5yB,EAAE,CAAC,KAAK,QAAQ,QAAQZ,GAAG,EAAEY,GAAG,MAAM,CAACA,EAAE,IAAIZ,EAAE,OAAO,EAAE,IAAIA,EAAE,OAAO,QAAQ,CAAC,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAE,KAAK,QAAQ,GAAG,KAAK,SAAS,QAAQ,CAAC,CAAC,MAAM,CAAC,OAAO,KAAK,QAAQ,MAAM,CAAC,KAAKY,EAAE,CAAC,GAAG,KAAK,QAAQ,MAAM,IAAI,MAAM,eAAe,KAAK,+BAA+B,EAAE,GAAGA,EAAE,GAAGA,GAAG,KAAK,KAAK,EAAE,MAAM,IAAI,MAAM,4BAA4BA,yBAAyB,KAAK,KAAK,GAAG,EAAE,IAAIZ,EAAE,KAAK,QAAQY,GAAG,GAAGZ,EAAE,QAAQ,MAAM,IAAI,MAAM,eAAe,KAAK,8BAA8BY,uGAAuG,EAAE,OAAO,KAAK,iBAAiBZ,EAAE,QAAQ,IAAIA,EAAE,KAAK,GAAGA,EAAE,MAAM,CAAC,SAASY,EAAE,CAAC,OAAOA,EAAE,IAAIZ,GAAG,KAAK,KAAKA,CAAC,CAAC,CAAC,CAAC,MAAMY,EAAEZ,EAAE,CAAC,GAAG,KAAK,QAAQ,MAAM,IAAI,MAAM,eAAe,KAAK,+BAA+B,EAAE,GAAGY,EAAE,GAAG,CAAC,KAAK,aAAaA,GAAG,KAAK,QAAQ,MAAM,IAAI,MAAM,2BAA2BA,+CAA+C,KAAK,SAAS,EAAE,IAAI,EAAE,KAAK,QAAQA,IAAI,CAAC,EAAE,GAAGZ,EAAE,QAAQ,KAAK,MAAM,MAAM,IAAI,MAAM,eAAe,KAAK,8CAA8CY;AAAA,uCACn8xQZ,EAAE,mCAAmC,KAAK,QAAQ,EAAE,GAAG,KAAK,KAAK,IAAI,IAAI,KAAK,cAAc,MAAM,KAAK,aAAa,SAAS,KAAK,KAAK,aAAaA,EAAE,OAAOqpE,GAAG,KAAK,aAAarpE,EAAE,MAAM,eAAe,KAAK,8CAA8CY,IAAI,EAAE,EAAE,KAAK,MAAM,IAAI,MAAM,eAAe,KAAK,8CAA8CA,sCAAsC,EAAE,GAAG,EAAE,QAAQ,MAAM,IAAI,MAAM,eAAe,KAAK,8CAA8CA,yCAAyC,EAAE,EAAE,OAAOZ,EAAEwzB,GAAGxzB,CAAC,EAAE,EAAE,QAAQ,GAAG,KAAK,QAAQY,GAAG,CAAC,CAAC,UAAUA,EAAEZ,EAAE,CAAC,GAAGY,EAAE,SAASZ,EAAE,OAAO,MAAM,IAAI,MAAM,eAAe,KAAK,kEAAkEY,EAAE,2CAA2CZ,EAAE,SAAS,EAAEY,EAAE,QAAQ,CAAC,EAAEP,IAAI,KAAK,MAAM,EAAEL,EAAEK,EAAE,CAAC,CAAC,CAAC,OAAOO,EAAEZ,EAAE,CAAC,GAAG,CAAC,CAACA,GAAGA,IAAI,KAAK,MAAM,MAAM,IAAI,MAAM,wBAAwB,KAAK,oCAAoCA,GAAG,EAAE,GAAGY,EAAEA,EAAEA,EAAE,MAAM,EAAE,KAAK,KAAK,CAAC,MAAM,CAACA,EAAE,CAAC,EAAE,QAAQP,EAAE,EAAEA,EAAE,KAAK,KAAK,EAAEA,IAAIO,EAAE,KAAKP,CAAC,CAAC,CAAC,GAAGO,EAAE,SAAS,EAAE,OAAOwrB,GAAG,CAAC,EAAE,CAAC,CAAC,EAAE,OAAO,KAAK,YAAY,CAAC,EAAE,IAAI,EAAE,KAAK,SAASxrB,CAAC,EAAE,OAAOyoE,GAAG,KAAK,aAAa,EAAE,GAAG,MAAM,8BAA8B,EAAE95B,GAAG,EAAE,CAAC,CAAC,CAAC,OAAO3uC,EAAE,CAAC,GAAG,CAAC,CAACA,GAAGA,IAAI,KAAK,MAAM,MAAM,IAAI,MAAM,wBAAwB,KAAK,oCAAoCA,GAAG,EAAE,GAAG,KAAK,KAAK,IAAI,EAAE,OAAOwrB,GAAG,CAAC,EAAE,CAAC,CAAC,EAAE,OAAO,KAAK,YAAY,CAAC,EAAE,IAAIpsB,EAAE,CAAC,EAAE,QAAQK,EAAE,EAAEA,EAAE,KAAK,KAAK,EAAEA,IAAIL,EAAE,KAAKK,CAAC,EAAE,IAAI,EAAE,KAAK,SAASL,CAAC,EAAE,OAAOqpE,GAAG,KAAK,aAAa,EAAE,GAAG,MAAM,mDAAmD,KAAK,wCAAwC,EAAE,GAAG,QAAQ,EAAEhtC,GAAG,EAAE,CAAC,CAAC,CAAC,QAAQz7B,EAAEZ,EAAE,CAAC,GAAGA,EAAE,QAAQ,KAAK,MAAM,MAAM,IAAI,MAAM,wBAAwB,KAAK,8BAA8BA,EAAE,OAAO,EAAE,GAAGY,EAAE,SAASZ,EAAE,MAAM,GAAG,MAAM,IAAI,MAAM,sDAAsDY,EAAE,cAAcZ,EAAE,MAAM,IAAI,EAAE,IAAI,EAAE,KAAK,IAAI,GAAGY,CAAC,EAAE,GAAG,CAAC,KAAK,aAAa,GAAG,KAAK,QAAQ,MAAM,IAAI,MAAM,mCAAmC,UAAU,KAAK,UAAU,EAAE,KAAK,UAAUA,EAAEgwC,GAAG5wC,EAAE,CAAC,CAAC,CAAC,CAAC,MAAMY,EAAEZ,EAAE,CAAC,GAAGA,EAAE,QAAQ,KAAK,MAAM,MAAM,IAAI,MAAM,wBAAwB,KAAK,8BAA8BA,EAAE,OAAO,EAAE,IAAI,EAAE,EAAEK,EAAEO,EAAE,IAAIoB,IAAI,GAAGA,EAAE,EAAE,EAAE,GAAG,IAAIhC,EAAE,MAAM,GAAG,MAAM,IAAI,MAAM;AAAA;AAAA,UAE/pE,6BAA6BA,EAAE,OAAO,EAAE,GAAG,CAAC,KAAK,aAAaY,EAAE,SAAS,KAAK,QAAQ,MAAM,IAAI,MAAM,2DAA2D,KAAK,eAAeA,EAAE,sEAAsE,EAAE,IAAIiB,EAAE,IAAI,EAAE,EAAE7B,EAAE,KAAK,EAAE8B,EAAE,CAAC,EAAEwxB,EAAE,IAAI,CAACtzB,EAAE+7B,EAAE/7B,EAAE,CAAC,EAAE,EAAE6B,CAAC,CAAC,EAAE,QAAQG,EAAE,EAAEA,EAAEpB,EAAE,OAAO,EAAEoB,EAAE,CAAC,IAAI,EAAEA,IAAI,EAAE,EAAE3B,EAAE2B,EAAE,GAAGU,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE9B,EAAEoB,GAAGH,CAAC,EAAEC,EAAEE,GAAG+5B,EAAEU,GAAGz8B,EAAE0C,EAAE,CAAC,EAAE,KAAK,YAAY,CAAC,CAAC,OAAOZ,CAAC,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEpB,EAAE,OAAOoB,IAAID,EAAEC,GAAGA,EAAE,KAAK,UAAUD,EAAED,CAAC,CAAC,CAAC,EAAM4nE,GAAG,KAAK,CAAC,YAAY9oE,EAAEZ,EAAE,EAAEK,EAAE,GAAG,CAAC,KAAK,QAAQO,EAAE,KAAK,aAAaZ,EAAE,KAAK,aAAa,EAAEY,GAAG,MAAMA,EAAE,QAAQiB,GAAG,CAAC,GAAG,IAAIA,EAAE,MAAM,MAAM,IAAI,MAAM,mCAAmC,wBAAwBA,EAAE,OAAO,EAAEwnE,GAAGrpE,EAAE6B,EAAE,MAAM,6BAA6B,EAAE2xB,GAAG3xB,CAAC,CAAC,CAAC,EAAE,KAAK,SAAS6gC,GAAG,CAAC,EAAE,KAAK,eAAeriC,EAAEmzB,GAAG,KAAK,QAAQ,CAAC,CAAC,IAAI,IAAI,CAAC,OAAO,KAAK,SAAS,EAAE,CAAC,MAAM,CAAC,OAAO,IAAIk2C,GAAG,CAAC,GAAG,KAAK,OAAO,EAAE,KAAK,aAAa,KAAK,YAAY,CAAC,CAAC,cAAc9oE,EAAE,CAAC,KAAK,QAAQ,QAAQZ,GAAG,EAAEY,GAAG,MAAM,CAACA,EAAE,IAAIZ,EAAE,EAAE,IAAIA,EAAE,QAAQ,CAAC,CAAC,EAAE,KAAK,QAAQ,OAAO,EAAE,KAAK,SAAS,QAAQ,CAAC,CAAC,MAAM,CAAC,OAAO,KAAK,QAAQ,MAAM,CAAC,MAAMY,EAAEZ,EAAE,EAAE,GAAG,CAAC,GAAGA,IAAI,KAAK,aAAa,MAAM,IAAI,MAAM,mCAAmCA,wBAAwB,KAAK,cAAc,EAAE,GAAG,IAAI,IAAI,KAAK,QAAQ,SAAS,EAAE,MAAM,IAAI,MAAM,kCAAkC,kCAAkC,KAAK,QAAQ,kBAAkB,EAAEqpE,GAAGzoE,EAAE,KAAK,aAAa,6BAA6B,EAAE,IAAIP,EAAEkpE,GAAG,KAAK,aAAa,KAAK,QAAQ3oE,CAAC,EAAE,OAAO0yB,EAAE,IAAI,CAAC,IAAIzxB,EAAE,KAAK,QAAQ,IAAIC,GAAGi6B,EAAEj6B,EAAEzB,CAAC,CAAC,EAAE,OAAOkvC,GAAG1tC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,QAAQjB,EAAEZ,EAAE,CAAC,GAAGA,IAAI,KAAK,aAAa,MAAM,IAAI,MAAM,mCAAmCA,wBAAwB,KAAK,cAAc,EAAE,GAAG,KAAK,KAAK,IAAI,EAAE,MAAM,IAAI,MAAM,mCAAmC,EAAE,IAAI,EAAEupE,GAAG,KAAK,aAAa,KAAK,QAAQ3oE,CAAC,EAAEP,EAAE,KAAK,QAAQ,IAAI,EAAE,OAAOA,EAAE,KAAK,GAAGgpE,GAAGhpE,EAAE,MAAMO,EAAE,6BAA6B,EAAEm7B,EAAE17B,EAAE,CAAC,CAAC,CAAC,SAASO,EAAE,CAAC,GAAGA,EAAE,QAAQ,KAAK,aAAa,MAAM,IAAI,MAAM,mCAAmCA,EAAE,4BAA4B,KAAK,cAAc,EAAE,GAAGyoE,GAAGzoE,EAAE,MAAM,KAAK,aAAa,6BAA6B,EAAE,KAAK,iBAAiB,KAAK,KAAK,EAAE,MAAM,IAAI,MAAM,0CAA0C,EAAE4yB,GAAG5yB,CAAC,EAAE,KAAK,QAAQ,KAAKA,CAAC,CAAC,CAAC,OAAOA,EAAE,CAAC,GAAGA,EAAE,EAAE,MAAM,IAAI,MAAM,0DAA0DA,GAAG,EAAE,GAAG,KAAK,iBAAiB,IAAIA,EAAE,KAAK,eAAe,MAAM,IAAI,MAAM,+BAA+BA,8BAA8B,KAAK,iBAAiB,EAAE,IAAIZ,EAAE,IAAI0pE,GAAG,CAAC,EAAE,KAAK,aAAa,KAAK,aAAa,KAAK,cAAc,EAAE1pE,EAAE,QAAQ,OAAOY,EAAE,QAAQ,EAAE,EAAE,EAAE,KAAK,IAAI,KAAK,QAAQ,OAAOA,CAAC,EAAE,EAAE,EAAEZ,EAAE,QAAQ,GAAG,KAAK,QAAQ,GAAG,OAAOA,CAAC,CAAC,QAAQY,EAAEZ,EAAE,EAAE,CAAC,GAAG,IAAI,KAAK,aAAa,MAAM,IAAI,MAAM,mCAAmC,wBAAwB,KAAK,cAAc,EAAE,GAAGY,EAAE,GAAGA,EAAE,KAAK,QAAQ,OAAO,MAAM,IAAI,MAAM,4BAA4BA,oBAAoB,KAAK,QAAQ,kBAAkB,EAAE,GAAG,KAAK,QAAQA,IAAI,KAAK,MAAM,IAAI,MAAM,oBAAoBA,YAAY,EAAEyoE,GAAG,KAAK,QAAQzoE,GAAG,MAAMZ,EAAE,6BAA6B,EAAE,IAAIK,EAAEkpE,GAAG,KAAK,aAAa,KAAK,QAAQvpE,CAAC,EAAE,OAAO+7B,EAAE,KAAK,QAAQn7B,GAAGP,CAAC,CAAC,CAAC,QAAQO,EAAEZ,EAAE,CAAC,GAAGA,EAAE,QAAQ,KAAK,aAAa,MAAM,IAAI,MAAM,mCAAmCA,EAAE,4BAA4B,KAAK,cAAc,EAAE,GAAGY,EAAE,GAAG,KAAK,iBAAiB,IAAIA,GAAG,KAAK,eAAe,MAAM,IAAI,MAAM,yBAAyBA,wBAAwB,KAAK,0BAA0B,EAAEyoE,GAAG,KAAK,aAAarpE,EAAE,MAAM,6BAA6B,EAAEwzB,GAAGxzB,CAAC,EAAE,KAAK,QAAQY,IAAI,OAAO,KAAK,QAAQA,GAAG,KAAK,IAAI,KAAK,QAAQA,GAAGZ,CAAC,CAAC,OAAOY,EAAEZ,EAAE,EAAE,CAAC,GAAGA,IAAI,KAAK,aAAa,MAAM,IAAI,MAAM,mCAAmCA,wBAAwB,KAAK,cAAc,EAAEqpE,GAAG,KAAK,aAAa,EAAE,6BAA6B,EAAEzoE,EAAEA,EAAE,MAAM,EAAE,KAAK,KAAK,CAAC,EAAE,IAAIP,EAAEkpE,GAAG,KAAK,aAAa,KAAK,QAAQ,CAAC,EAAE,OAAO3oE,EAAE,SAAS,EAAEwrB,GAAG,CAAC,EAAE,CAAC,CAAC,EAAE,OAAO/rB,CAAC,CAAC,EAAEizB,EAAE,IAAI,CAAC,IAAIzxB,EAAEjB,EAAE,IAAIkB,GAAGi6B,EAAE,KAAK,QAAQj6B,GAAGzB,CAAC,CAAC,EAAE,OAAOkvC,GAAG1tC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOjB,EAAEZ,EAAE,CAAC,GAAG,CAAC,CAACY,GAAGA,IAAI,KAAK,aAAa,MAAM,IAAI,MAAM,uBAAuB,KAAK,2CAA2CA,GAAG,EAAEyoE,GAAG,KAAK,aAAarpE,EAAE,6BAA6B,EAAE,IAAI,EAAEupE,GAAG,KAAK,aAAa,KAAK,QAAQvpE,CAAC,EAAE,OAAO,KAAK,KAAK,IAAI,EAAEosB,GAAG,CAAC,EAAE,CAAC,CAAC,EAAE,OAAO,CAAC,CAAC,EAAEkH,EAAE,IAAI,CAAC,IAAIjzB,EAAE,KAAK,QAAQ,IAAIwB,GAAGk6B,EAAEl6B,EAAE,CAAC,CAAC,EAAE,OAAOw6B,GAAGh8B,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAASspE,GAAG7pE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,MAAM,GAAGA,EAAE,MAAM,OAAO,EAAE,MAAM,IAAI,MAAM,oDAAoDA,EAAE,OAAO,EAAE,GAAGA,EAAE,QAAQE,EAAE,MAAM,IAAI,MAAM,mCAAmCF,EAAE,4BAA4BE,GAAG,EAAE,IAAIK,EAAEP,EAAE,MAAM,MAAM,CAAC,EAAEupE,GAAGhpE,EAAE,EAAE,6BAA6B,EAAE,IAAI,EAAEuwC,GAAG9wC,CAAC,EAAE,OAAO,IAAI4pE,GAAG,EAAE,EAAEtpE,CAAC,CAAC,CAAC,SAASwpE,GAAG9pE,EAAE,EAAEE,EAAEI,EAAE,CAAC,OAAO,IAAIspE,GAAG,CAAC,EAAE5pE,EAAE,EAAEM,CAAC,CAAC,CAAC,SAASypE,GAAG/pE,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAG,EAAE,SAASN,EAAE,MAAM,GAAG,MAAM,IAAI,MAAM,sDAAsD,EAAE,cAAcA,EAAE,MAAM,IAAI,EAAE,IAAIO,EAAE,KAAK,IAAI,GAAG,CAAC,EAAE,GAAGD,GAAG,MAAMA,IAAI,IAAIC,GAAGD,EAAE,MAAM,IAAI,MAAM,mCAAmCC,UAAUD,IAAI,EAAE,IAAI,EAAE,IAAIspE,GAAG,CAAC,EAAE1pE,EAAEF,EAAE,MAAMM,CAAC,EAAE,EAAEwwC,GAAG9wC,EAAE,CAAC,EAAE,OAAO,EAAE,QAAQ,CAACiC,EAAEC,IAAI,CAAC,EAAE,QAAQD,EAAE,EAAEC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,SAAS8nE,GAAGhqE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,EAAEC,EAAE,EAAE,IAAIqC,IAAItC,GAAGsC,EAAEtC,EAAE,EAAE,GAAGA,IAAIN,EAAE,MAAM,GAAG,MAAM,IAAI,MAAM;AAAA;AAAA,UAEn6JM,6BAA6BN,EAAE,OAAO,EAAE,IAAI,EAAEA,EAAE,MAAM,MAAM,CAAC,EAAE,EAAE0pE,GAAG,EAAExpE,CAAC,EAAE+B,EAAE3B,IAAI,EAAE,EAAEN,EAAE,KAAKM,EAAE4B,EAAEsxB,EAAE,IAAI,CAAC,IAAI5wB,EAAE,CAAC,EAAE5C,EAAEi8B,EAAEj8B,EAAE,CAAC,EAAEM,EAAE2B,CAAC,CAAC,EAAE,QAAQY,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAED,IAAI,EAAE,EAAEtC,EAAEsC,EAAE,GAAGE,EAAE,CAAC,EAAED,EAAE,CAAC,EAAEE,EAAE,CAAC,EAAE,EAAEH,GAAGZ,CAAC,EAAEW,EAAEC,GAAGo5B,EAAEU,GAAG38B,EAAE+C,EAAEC,CAAC,EAAE,CAAC,CAAC,CAAC,OAAOhD,EAAE,QAAQ,EAAE4C,CAAC,CAAC,EAAET,EAAE,IAAIynE,GAAG,CAAC,EAAE1pE,EAAEF,EAAE,MAAM,EAAE,MAAM,EAAE,QAAQ4C,EAAE,EAAEA,EAAEV,EAAE,OAAOU,IAAIT,EAAE,QAAQS,EAAEV,EAAEU,EAAE,EAAE,OAAOT,CAAC,CAAC,IAAI8nE,GAAG,MAAMjqE,EAAE,EAAEE,IAAI,CAAC,OAAOF,EAAE,GAAG,CAAC,IAAI,KAAK,IAAI,cAAc,CAAC,IAAIM,EAAE+kE,EAAE,aAAarlE,EAAE,EAAEE,CAAC,EAAEK,EAAE8kE,EAAE,aAAarlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,OAAO,MAAM,EAAE,KAAK,GAAG,GAAGA,EAAE,YAAYI,GAAG,qBAAqB,EAAEJ,EAAE,eAAeA,EAAE,aAAa,EAAEA,EAAE,YAAYK,GAAG,qBAAqB,EAAEL,EAAE,eAAeA,EAAE,aAAa,CAAC,CAAC,IAAI,QAAQ,IAAI,iBAAiB,CAAC,IAAII,EAAE+kE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAEK,EAAE8kE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,EAAE,MAAMA,EAAE,YAAYK,GAAG,qBAAqB,EAAEL,EAAE,eAAeA,EAAE,aAAa,EAAE+B,EAAE,EAAE,IAAIW,GAAGA,EAAE,EAAE,EAAEV,EAAE,MAAM,EAAE,GAAG,KAAK,EAAE,EAAE,QAAQU,GAAG,CAAC,CAACA,EAAE,MAAMX,EAAE,QAAQW,EAAE,EAAE,IAAI,IAAIA,EAAE,QAAQ,CAAC,CAAC,EAAE,IAAIT,EAAE,EAAE,KAAKD,EAAE,IAAI,CAAC,IAAIU,EAAET,EAAEA,EAAE,MAAMjC,EAAE,YAAYI,GAAG,qBAAqB6B,EAAEjC,EAAE,eAAeA,EAAE,aAAa,EAAE,IAAI2C,EAAEV,EAAE,IAAIY,GAAGA,EAAE,EAAE,EAAEH,EAAE,QAAQG,GAAG,CAAC,CAACA,EAAE,MAAMd,EAAE,QAAQc,EAAE,EAAE,IAAI,IAAIF,EAAE,QAAQE,EAAE,EAAE,IAAI,IAAIA,EAAE,QAAQ,CAAC,CAAC,EAAE,IAAID,EAAE,MAAM5C,EAAE,YAAYK,GAAG,qBAAqB4B,EAAEjC,EAAE,eAAeA,EAAE,aAAa,EAAEgC,EAAE,MAAMY,EAAE,GAAG,KAAK,EAAEA,EAAE,QAAQC,GAAG,CAAC,CAACA,EAAE,MAAMd,EAAE,QAAQc,EAAE,EAAE,IAAI,IAAIF,EAAE,QAAQE,EAAE,EAAE,IAAI,IAAIA,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,OAAOZ,CAAC,CAAC,IAAI,WAAW,CAAC,IAAI7B,EAAE+kE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC0lE,GAAGtlE,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAIA,EAAE+kE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAEK,EAAE8kE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,OAAOK,EAAE,OAAOA,EAAEqlE,GAAGrlE,CAAC,IAAI,MAAMD,EAAE,KAAK,GAAG,GAAG,CAAC,OAAOC,CAAC,EAAE,CAACA,EAAE,MAAM,CAAC,CAAC,IAAI,QAAQ,CAAC,IAAID,EAAEN,EAAE,WAAW,KAAKO,GAAG+kE,GAAG/kE,EAAE,EAAEL,CAAC,IAAI,MAAM,EAAE,GAAGI,EAAE,CAAC,IAAIC,EAAE+kE,GAAGhlE,EAAE,EAAEJ,CAAC,EAAE,MAAM,CAAC0lE,GAAGrlE,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,IAAI,QAAQ,CAAC,IAAID,EAAE+kE,EAAE,YAAYrlE,EAAE,EAAEE,CAAC,EAAEK,EAAE8kE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAE,OAAOA,EAAE,WAAWI,CAAC,EAAE,CAACslE,GAAGrlE,CAAC,CAAC,CAAC,CAAC,IAAI,OAAO,CAAC,IAAID,EAAE+kE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAE,OAAOA,EAAE,UAAU,EAAE,CAAC0lE,GAAGtlE,CAAC,CAAC,CAAC,CAAC,IAAI,gBAAgB,CAAC,IAAIA,EAAE+kE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAE,OAAOA,EAAE,cAAc,EAAE,CAAC0lE,GAAGtlE,CAAC,CAAC,CAAC,CAAC,IAAI,gBAAgB,CAAC,IAAIA,EAAE+kE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAEK,EAAE8kE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,cAAcrlE,EAAE,EAAEE,CAAC,EAAE+B,EAAEojE,EAAE,iBAAiBrlE,EAAE,EAAEE,CAAC,EAAEgC,EAAEmjE,EAAE,yBAAyBrlE,EAAE,EAAEE,CAAC,EAAEiC,EAAEkjE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE0C,EAAE,IAAI+mE,GAAGxnE,EAAE5B,EAAED,EAAE,EAAE4B,EAAE,EAAED,CAAC,EAAE,OAAO/B,EAAE,eAAe0C,CAAC,EAAE,CAACA,EAAE,SAASggC,GAAG,CAAC,CAAC,CAAC,CAAC,IAAI,qBAAqB,CAAC,IAAItiC,EAAE+kE,EAAE,gBAAgBrlE,EAAE,EAAEE,CAAC,EAAEK,EAAE8kE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAE,EAAEA,EAAE,eAAeI,EAAE,EAAE,EAAE,OAAO,EAAE,MAAMC,EAAE,CAAC,EAAE,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI,oBAAoB,CAAC,IAAID,EAAE+kE,EAAE,gBAAgBrlE,EAAE,EAAEE,CAAC,EAAEK,EAAE8kE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACA,EAAE,eAAeI,EAAE,EAAE,EAAE,KAAKC,CAAC,CAAC,CAAC,CAAC,IAAI,sBAAsB,CAAC,IAAID,EAAE+kE,EAAE,gBAAgBrlE,EAAE,EAAEE,CAAC,EAAEK,EAAE8kE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACA,EAAE,eAAeI,EAAE,EAAE,EAAE,OAAOC,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,uBAAuB,CAAC,IAAID,EAAE+kE,EAAE,gBAAgBrlE,EAAE,EAAEE,CAAC,EAAEK,EAAE8kE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAE,EAAEA,EAAE,eAAeI,EAAE,EAAE,EAAE,OAAO,EAAE,QAAQC,EAAE,CAAC,EAAE,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI,sBAAsB,CAAC,IAAID,EAAE+kE,EAAE,gBAAgBrlE,EAAE,EAAEE,CAAC,EAAEK,EAAEL,EAAE,eAAeI,EAAE,EAAE,EAAE,EAAE+kE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACK,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,IAAI,qBAAqB,CAAC,IAAID,EAAE+kE,EAAE,gBAAgBrlE,EAAE,EAAEE,CAAC,EAAEK,EAAE8kE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE,EAAEA,EAAE,eAAeI,EAAE,EAAE,EAAE,OAAO,EAAE,MAAM,EAAEC,CAAC,EAAE,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI,oBAAoB,CAAC,IAAID,EAAE+kE,EAAE,gBAAgBrlE,EAAE,EAAEE,CAAC,EAAEK,EAAEL,EAAE,eAAeI,EAAE,EAAE,EAAE,MAAM,CAACsiC,GAAGriC,EAAE,KAAK,EAAE,OAAO,CAAC,CAAC,CAAC,IAAI,qBAAqB,CAAC,IAAID,EAAE+kE,EAAE,gBAAgBrlE,EAAE,EAAEE,CAAC,EAAEK,EAAEL,EAAE,eAAeI,EAAE,EAAE,EAAE,OAAOC,EAAE,cAAc,EAAE,CAACA,EAAE,QAAQ,CAAC,CAAC,IAAI,oBAAoB,CAAC,IAAID,EAAE+kE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAEK,EAAE8kE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAE,EAAEA,EAAE,cAAcI,EAAE,EAAE,EAAE,OAAO,EAAE,QAAQC,EAAE,CAAC,EAAE,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI,oBAAoB,CAAC,IAAID,EAAE+kE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAEK,EAAE8kE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACA,EAAE,cAAcI,EAAE,EAAE,EAAE,QAAQC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,sBAAsB,IAAI,oBAAoB,CAAC,IAAID,EAAE+kE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAEK,EAAE8kE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,cAAcrlE,EAAE,EAAEE,CAAC,EAAE+B,EAAE8nE,GAAGxpE,EAAED,EAAE,EAAE,CAAC,EAAE,OAAOJ,EAAE,cAAc+B,CAAC,EAAE,CAACA,EAAE,QAAQ,CAAC,CAAC,IAAI,oBAAoB,IAAI,kBAAkB,CAAC,IAAI3B,EAAE+kE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAEK,EAAE8kE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAE,EAAEF,EAAE,KAAK,oBAAoB,EAAE,cAAc,EAAE,iBAAiB,IAAI,EAAEqlE,EAAE,EAAErlE,EAAE,EAAEE,CAAC,EAAE+B,EAAEjC,EAAE,KAAK,oBAAoB,GAAG,EAAEkC,EAAE4nE,GAAGxpE,EAAEC,EAAE,EAAE0B,CAAC,EAAE,OAAO/B,EAAE,cAAcgC,CAAC,EAAE,CAACA,EAAE,QAAQ,CAAC,CAAC,IAAI,mBAAmB,CAAC,IAAI5B,EAAE+kE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAEK,EAAE8kE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACA,EAAE,cAAcI,EAAE,EAAE,EAAE,OAAOC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,kBAAkB,CAAC,IAAID,EAAE+kE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAEK,EAAE8kE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,cAAcrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACA,EAAE,cAAcI,EAAE,EAAE,EAAE,MAAMC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,uBAAuB,CAAC,IAAID,EAAE+kE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAEK,EAAE8kE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAE,EAAE2pE,GAAGvpE,EAAEC,EAAE,CAAC,EAAE,OAAOL,EAAE,cAAc,CAAC,EAAE,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI,mBAAmB,IAAI,qBAAqB,CAAC,IAAII,EAAE+kE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAEK,EAAEL,EAAE,cAAcI,EAAE,EAAE,EAAE,EAAE+kE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACK,EAAE,OAAO,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,qBAAqB,CAAC,IAAID,EAAE+kE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAEK,EAAE8kE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAE,EAAEA,EAAE,cAAcI,EAAE,EAAE,EAAE,OAAO,EAAE,SAASC,CAAC,EAAE,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI,oBAAoB,CAAC,IAAID,EAAE+kE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAEK,EAAE8kE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACA,EAAE,cAAcI,EAAE,EAAE,EAAE,QAAQC,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,kBAAkB,CAAC,IAAID,EAAE+kE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAEK,EAAE8kE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE,EAAE8pE,GAAG1pE,EAAE,EAAEC,CAAC,EAAE,OAAOL,EAAE,cAAc,CAAC,EAAE,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI,mBAAmB,CAAC,IAAII,EAAE+kE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAEK,EAAEL,EAAE,cAAcI,EAAE,EAAE,EAAE,MAAM,CAACsiC,GAAGriC,EAAE,KAAK,EAAE,OAAO,CAAC,CAAC,CAAC,IAAI,mBAAmB,CAAC,IAAID,EAAE+kE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAEK,EAAE8kE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE8B,EAAE9B,EAAE,cAAcI,EAAE,EAAE,EAAE,OAAOC,CAAC,EAAE,OAAOL,EAAE,cAAc8B,CAAC,EAAE,CAACA,EAAE,QAAQ,CAAC,CAAC,QAAQ,MAAM,UAAU,aAAahC,EAAE,uBAAuB,CAAC,CAAC,EAAE,SAASkqE,GAAGlqE,EAAE,EAAEE,EAAE,CAAC,GAAG,CAACI,EAAEC,CAAC,EAAE8kE,EAAE,WAAWrlE,EAAE,EAAEE,CAAC,EAAE,EAAEI,IAAI,UAAU,EAAE,CAAC,EAAE2B,EAAE1B,IAAI,QAAQ2B,EAAE5B,IAAI,iBAAiB6B,EAAEkjE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE,GAAG,EAAE,CAAC,GAAG+B,GAAGE,IAAI,EAAE,MAAM,IAAI,MAAM,uGAAuG,EAAE,GAAG,CAACF,GAAG,GAAGE,IAAI,EAAE,MAAM,IAAI,MAAM,kFAAkF,CAAC,CAAC,GAAGD,EAAE,MAAM,IAAI,MAAM,sEAAsE,EAAE,IAAIU,EAAEyiE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE2C,EAAE8iE,GAAG3lE,EAAE,EAAEE,CAAC,EAAE4C,EAAEuiE,EAAE,aAAarlE,EAAE,EAAEE,CAAC,EAAE,YAAY,EAAE6C,EAAEsiE,EAAE,YAAYrlE,EAAE,EAAEE,CAAC,EAAE,CAAC8C,EAAEkB,CAAC,EAAEmhE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,IAAIgE,EAAElB,EAAEA,EAAE,QAAQ,IAAI,EAAEqiE,EAAE,iBAAiBrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC,OAAO0C,EAAE,IAAIC,EAAE,WAAWC,EAAE,UAAUC,EAAE,QAAQC,EAAE,SAASkB,EAAE,eAAe3D,EAAE,eAAe,CAAC,CAAC,CAAC,IAAI4pE,GAAG,CAACnqE,EAAE,EAAEE,EAAEI,EAAE8oE,KAAK,CAAC,OAAOppE,EAAE,GAAG,CAAC,IAAI,SAAS,CAAC,IAAIO,EAAE8kE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,MAAMrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,aAAarlE,EAAE,EAAEE,CAAC,EAAE,YAAY,EAAE+B,EAAEojE,EAAE,WAAWrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,OAAO+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAEK,EAAE,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAI1B,EAAE8kE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE,EAAEylE,GAAG3lE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,aAAarlE,EAAE,EAAEE,CAAC,EAAE,YAAY,EAAE+B,EAAEojE,EAAE,YAAYrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,OAAO+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAE,CAACK,EAAE,GAAGA,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC0B,EAAE,GAAGA,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,eAAe,CAAC,GAAG,CAAC,OAAO1B,EAAE,IAAI,EAAE,WAAW,EAAE,UAAU0B,EAAE,QAAQC,EAAE,SAASC,EAAE,eAAeS,EAAE,eAAeC,CAAC,EAAEqnE,GAAGlqE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,MAAM,OAAO,CAAC,EAAE+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE,OAAOmlE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAE,QAAQ,CAACK,EAAE,GAAGA,EAAE,EAAE,EAAE,IAAI,EAAE,WAAW,EAAE,UAAU,CAAC0B,EAAE,GAAGA,EAAE,EAAE,EAAE,KAAKC,EAAE,WAAWU,EAAE,uBAAuBT,EAAE,eAAeU,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI,6BAA6B,CAAC,GAAG,CAAC,OAAOtC,EAAE,IAAI,EAAE,WAAW,EAAE,UAAU0B,EAAE,QAAQC,EAAE,SAASC,EAAE,eAAeS,EAAE,eAAeC,CAAC,EAAEqnE,GAAGlqE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,MAAM,gBAAgB,CAAC,EAAE+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE,OAAOmlE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAE,QAAQ,CAACK,EAAE,GAAGA,EAAE,EAAE,EAAE,IAAI,EAAE,WAAW,EAAE,UAAU,CAAC0B,EAAE,GAAGA,EAAE,EAAE,EAAE,KAAKC,EAAE,WAAWU,EAAE,uBAAuBT,EAAE,eAAeU,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI,sBAAsB,IAAI,kBAAkB,CAAC,IAAItC,EAAE8kE,EAAE,cAAcrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE,EAAEylE,GAAG3lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,gBAAgB+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAEK,EAAE,CAAC,EAAE,GAAG,EAAE,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,wBAAwB,IAAI,kBAAkB,CAAC,IAAIA,EAAE8kE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE,EAAEylE,GAAG3lE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,YAAYrlE,EAAE,EAAEE,CAAC,EAAE+B,EAAEojE,EAAE,aAAarlE,EAAE,EAAEE,CAAC,EAAE,YAAY,EAAE,MAAM,CAACI,EAAE,gBAAgB+kE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAE,CAACK,EAAE,GAAGA,EAAE,EAAE,EAAE,EAAE0B,EAAE,CAAC,EAAE,GAAG,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAI1B,EAAE8kE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,MAAMrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,aAAarlE,EAAE,EAAEE,CAAC,EAAE,YAAY,EAAE+B,EAAEojE,EAAE,YAAYrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,OAAO+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAE,CAACK,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC0B,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,UAAU,CAAC,IAAI1B,EAAE8kE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,MAAMrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,aAAarlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,QAAQ+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE,CAAC,EAAE,GAAG,EAAE,EAAE,EAAE,CAACK,EAAE,GAAGA,EAAE,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,UAAU,CAAC,IAAIA,EAAE8kE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,MAAMrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,aAAarlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,QAAQ+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE,CAAC,EAAE,GAAG,EAAE,EAAE,EAAE,CAACK,EAAE,GAAGA,EAAE,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,oBAAoB,CAAC,IAAIA,EAAE8kE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,MAAMrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,aAAarlE,EAAE,EAAEE,CAAC,EAAE+B,EAAEojE,EAAE,sBAAsBrlE,EAAE,EAAEE,CAAC,EAAE,CAAC,OAAOgC,EAAE,QAAQC,CAAC,EAAE7B,EAAE,kBAAkB+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE,CAAC,EAAE,GAAG,EAAE,EAAE,EAAE,CAACK,EAAE,GAAGA,EAAE,EAAE,EAAE,EAAE0B,CAAC,EAAE,MAAM,CAACC,EAAEC,CAAC,CAAC,CAAC,IAAI,YAAY,CAAC,IAAI5B,EAAE8kE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,MAAMrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,aAAarlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,UAAU+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE,CAAC,EAAE,GAAG,EAAE,GAAG,EAAE,EAAE,EAAE,CAACK,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,YAAY,CAAC,IAAIA,EAAE8kE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,MAAMrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,aAAarlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,UAAU+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE,CAAC,EAAE,GAAG,EAAE,GAAG,EAAE,EAAE,EAAE,CAACK,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,aAAa,CAAC,IAAIA,EAAE8kE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,MAAMrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,YAAYrlE,EAAE,EAAEE,CAAC,EAAE+B,EAAE1B,EAAE,GAAG2B,EAAE3B,EAAE,GAAG4B,EAAE,EAAE,GAAGS,EAAE,EAAE,GAAG,MAAM,CAACtC,EAAE,WAAW+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAE,CAAC+B,EAAEC,CAAC,EAAE,EAAE,CAACC,EAAES,CAAC,EAAE,MAAM,CAAC,CAAC,CAAC,QAAQ,MAAM,UAAU,aAAa5C,EAAE,uBAAuB,CAAC,CAAC,EAAMoqE,GAAG,CAACpqE,EAAE,EAAEE,EAAEI,EAAE8oE,KAAK,CAAC,OAAOppE,EAAE,GAAG,CAAC,IAAI,OAAO,CAAC,IAAIO,EAAE8kE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,KAAKC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,WAAW,CAAC,IAAIA,EAAE8kE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,MAAMrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,SAASC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,cAAc,CAAC,IAAIA,EAAE8kE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,aAAarlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,YAAYC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAIA,EAAE8kE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE+B,EAAEojE,EAAE,WAAWrlE,EAAE,EAAEE,CAAC,EAAEgC,EAAEmjE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,OAAOC,EAAE,EAAE,EAAE0B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,OAAO,MAAM,CAAC5B,EAAE,KAAK+kE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,WAAW,MAAM,CAACI,EAAE,SAAS+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,uBAAuB,MAAM,CAACI,EAAE,qBAAqB+kE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,gBAAgB,MAAM,CAACI,EAAE,cAAc+kE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,CAAC,IAAIK,EAAE8kE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,MAAMC,EAAE,EAAE,EAAE8kE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI,kBAAkB,CAAC,IAAIK,EAAE8kE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAE+B,EAAEojE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,gBAAgBC,EAAE,EAAE,EAAE8kE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAE+B,CAAC,CAAC,CAAC,CAAC,IAAI,QAAQ,MAAM,CAAC3B,EAAE,MAAM+kE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,YAAY,MAAM,CAACI,EAAE,UAAU+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAE,SAASqqE,GAAGrqE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE+kE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAEK,EAAE8kE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,gBAAgBrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAE+B,EAAEojE,EAAE,iBAAiBrlE,EAAE,EAAEE,CAAC,EAAEgC,EAAEmjE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC,MAAMI,EAAE,OAAOC,EAAE,cAAc,EAAE,aAAa,EAAE,eAAe0B,EAAE,aAAaC,CAAC,CAAC,CAAC,IAAIooE,GAAG,MAAMtqE,EAAE,EAAEE,EAAEI,EAAEC,EAAE6oE,KAAK,CAAC,OAAOppE,EAAE,GAAG,CAAC,IAAI,sBAAsB,CAAC,GAAG,CAAC,MAAM,EAAE,OAAO,EAAE,cAAciC,EAAE,aAAaC,EAAE,eAAeC,EAAE,aAAaS,CAAC,EAAEynE,GAAGrqE,EAAE,EAAEE,CAAC,EAAE2C,EAAE,MAAMtC,EAAE,MAAM,gCAAgC,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,CAAC,EAAE,MAAM,CAACC,EAAE,gBAAgBA,EAAE,cAAc,CAAC,CAAC,IAAI,sBAAsB,CAAC,GAAG,CAAC,MAAM,EAAE,OAAO,EAAE,cAAcZ,EAAE,aAAaC,EAAE,eAAeC,CAAC,EAAEkoE,GAAGrqE,EAAE,EAAEE,CAAC,EAAE0C,EAAEyiE,EAAE,qBAAqBrlE,EAAE,EAAEE,CAAC,EAAE2C,EAAE,MAAMtC,EAAE,MAAM,6BAA6B,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,CAAC,EAAE,MAAM,CAACC,EAAE,gBAAgBA,EAAE,YAAY,CAAC,CAAC,IAAI,sBAAsB,IAAI,sBAAsB,CAAC,GAAG,CAAC,MAAM,EAAE,OAAO,EAAE,cAAcZ,EAAE,aAAaC,EAAE,eAAeC,CAAC,EAAEkoE,GAAGrqE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC,MAAMK,EAAE,MAAM,uBAAuB,EAAE,EAAE0B,EAAEC,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,QAAQ,CAAC,IAAI,EAAE5B,EAAE,KAAK8kE,EAAE,YAAYrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,EAAE,EAAE,CAAC,MAAMK,EAAE,WAAW,CAAC,CAAC,EAAE,OAAO,EAAE,QAAQ,EAAE,CAAC,CAAC,IAAI,WAAW,OAAOA,EAAE,eAAe8kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAMuqE,GAAG,CAACvqE,EAAE,EAAEE,EAAEI,EAAE8oE,KAAK,CAAC,OAAOppE,EAAE,GAAG,CAAC,IAAI,aAAa,CAAC,IAAIO,EAAE8kE,EAAE,iBAAiBrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,WAAWC,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAIA,EAAE8kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAE+B,EAAE3B,EAAE,KAAKC,EAAE,EAAE,CAAC,EAAE,MAAM,CAAC0B,EAAE,OAAOA,EAAE,OAAO,CAAC,CAAC,IAAI,aAAa,CAAC,IAAI1B,EAAE8kE,EAAE,iBAAiBrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,WAAWC,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAIA,EAAE8kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE,EAAEI,EAAE,OAAOC,CAAC,EAAE,MAAM,CAAC,EAAE,OAAO,EAAE,OAAO,CAAC,CAAC,IAAI,WAAW,CAAC,IAAIA,EAAE8kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,EAAEI,EAAE,OAAOC,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,OAAO,EAAE,OAAO,CAAC,CAAC,QAAQ,MAAM,UAAU,aAAaP,EAAE,uBAAuB,CAAC,CAAC,EAAMwqE,GAAG,CAACxqE,EAAE,EAAEE,EAAEI,EAAE8oE,KAAK,CAAC,OAAOppE,EAAE,GAAG,CAAC,IAAI,QAAQ,OAAO,EAAEA,EAAE,MAAM,IAAI,yBAAyB,IAAIO,EAAE8kE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAColE,GAAGtlE,EAAE,KAAK,EAAEE,CAAC,GAAGK,CAAC,EAAE,IAAI,cAAc,MAAM,CAAC+kE,GAAGtlE,EAAE,KAAK,EAAEE,CAAC,CAAC,EAAE,IAAI,WAAW,IAAI,eAAe,IAAI,0BAA0B,CAAC,IAAI0C,EAAEyiE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC0lE,GAAGhjE,CAAC,CAAC,CAAC,CAAC,IAAI,YAAY,OAAOyiE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE,IAAI0C,GAAGgjE,GAAGhjE,CAAC,CAAC,EAAE,IAAI,WAAW,IAAI,EAAEyiE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC0lE,GAAG,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACtlE,EAAE,SAAS+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,OAAO,CAAC,EAAE,IAAI,SAAS,OAAOmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE,IAAI0C,GAAGtC,EAAE,SAASsC,EAAE,KAAK,CAAC,EAAE,IAAI,OAAO,MAAM,CAACtC,EAAE,OAAO+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE,KAAK,OAAO,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,OAAO+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE,KAAK,OAAO,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,OAAO,CAAC,CAAC,EAAE,IAAI,QAAQ,IAAI,EAAE+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE+B,EAAEojE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAEgC,EAAEmjE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAEiC,EAAEkjE,EAAE,YAAYrlE,EAAE,EAAEE,CAAC,EAAE,QAAQ,KAAK,gGAAgG,EAAE,QAAQ,IAAIgC,CAAC,EAAE,QAAQU,EAAE,EAAEA,EAAEX,EAAE,OAAOW,IAAI,QAAQ,IAAI,MAAM,UAAU,MAAM,KAAKX,EAAEW,GAAG,SAAS,CAAC,EAAE,MAAM,EAAET,CAAC,CAAC,EAAE,MAAM,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAanC,EAAE,uBAAuB,CAAC,CAAC,EAAMyqE,GAAG,KAAK,CAAC,YAAY3pE,EAAEZ,EAAE,CAAC,KAAK,SAASY,EAAE,KAAK,WAAWZ,EAAE,KAAK,OAAO0iC,GAAG,CAAC,EAAE,KAAK,UAAU,IAAI,IAAIlP,GAAG,KAAK,MAAM,CAAC,CAAC,IAAI,IAAI,CAAC,OAAO,KAAK,OAAO,EAAE,CAAC,eAAe,CAAC,KAAK,UAAU,QAAQ5yB,GAAGA,EAAE,QAAQ,CAAC,EAAE,KAAK,UAAU,MAAM,EAAE,KAAK,OAAO,QAAQ,CAAC,CAAC,MAAM,CAAC,OAAO,KAAK,UAAU,IAAI,CAAC,YAAY,CAAC,OAAO8hC,GAAG,KAAK,KAAK,EAAE,OAAO,CAAC,CAAC,MAAM,OAAO9hC,EAAEZ,EAAE,CAAC,KAAK,uBAAuBY,EAAEZ,CAAC,EAAE,IAAI,EAAE,MAAMY,EAAE,KAAK,EAAE,OAAO,KAAK,UAAU,QAAQP,GAAGA,EAAE,QAAQ,CAAC,EAAE,KAAK,UAAU,MAAM,EAAEizB,EAAE,IAAI,CAAC,IAAIjzB,EAAEuwC,GAAG5wC,CAAC,EAAE6B,EAAE,EAAE,OAAOC,EAAEzB,EAAE,OAAOsmB,EAAE,OAAO9kB,IAAIC,EAAE,IAAI,kDAAkDD,8BAA8BC,aAAa,EAAE,QAAQC,EAAE,EAAEA,EAAEF,EAAEE,IAAI,CAAC,IAAIC,EAAE,EAAED,GAAG,EAAE1B,EAAE0B,GAAGyxB,GAAG,CAAC,EAAE,KAAK,UAAU,IAAIxxB,EAAE,CAAC,CAAC,CAAC,OAAO,KAAK,MAAM,CAAC,CAAC,CAAC,MAAM,KAAKpB,EAAEZ,EAAE,CAAC,KAAK,uBAAuBY,EAAEZ,CAAC,EAAE,IAAI,EAAE,MAAMY,EAAE,KAAK,EAAE,OAAO0yB,EAAE,IAAI,CAAC,IAAIjzB,EAAE,CAAC,EAAE,QAAQwB,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,CAAC,IAAIC,EAAE,EAAED,GAAGE,EAAE,KAAK,gBAAgBD,EAAE9B,CAAC,EAAEK,EAAE,KAAK0B,CAAC,CAAC,CAAC,OAAOwtC,GAAGlvC,CAAC,CAAC,CAAC,CAAC,CAAC,gBAAgBO,EAAEZ,EAAE,CAAC,IAAI,EAAE,KAAK,UAAU,IAAIY,CAAC,EAAE,OAAO,GAAG,KAAK,EAAEZ,CAAC,CAAC,uBAAuBY,EAAEZ,EAAE,CAAC,GAAGY,EAAE,QAAQ,KAAK,SAAS,MAAM,IAAI,MAAM,oBAAoB,KAAK,qBAAqBA,EAAE,OAAO,EAAE,GAAGZ,EAAE,QAAQ,KAAK,WAAW,MAAM,IAAI,MAAM,sBAAsB,KAAK,uBAAuBA,EAAE,OAAO,CAAC,CAAC,EAAMwqE,GAAG,MAAM1qE,EAAE,EAAEE,EAAEI,IAAI,CAAC,OAAON,EAAE,GAAG,CAAC,IAAI,YAAY,IAAI,cAAc,CAAC,IAAIO,EAAE8kE,EAAE,WAAWrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,aAAarlE,EAAE,EAAEE,CAAC,EAAE,EAAE,IAAIuqE,GAAGlqE,EAAE,CAAC,EAAE,OAAOD,EAAE,aAAaN,EAAE,KAAK,CAAC,EAAE,CAAC,EAAE,MAAM,CAAC,CAAC,IAAI,oBAAoB,IAAI,sBAAsB,CAAC,IAAIO,EAAE8kE,EAAE,cAAcrlE,EAAE,EAAEE,EAAEI,CAAC,EAAE,EAAE+kE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC,MAAMI,EAAE,iBAAiBC,EAAE,EAAE,EAAE,OAAO,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,kBAAkB,IAAI,oBAAoB,CAAC,IAAIA,EAAE8kE,EAAE,cAAcrlE,EAAE,EAAEE,EAAEI,CAAC,EAAE,EAAE+kE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC,MAAMI,EAAE,iBAAiBC,EAAE,EAAE,EAAE,KAAK,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,kBAAkB,IAAI,oBAAoB,CAAC,IAAIA,EAAE8kE,EAAE,cAAcrlE,EAAE,EAAEE,EAAEI,CAAC,EAAE,MAAM,CAACA,EAAE,iBAAiBC,EAAE,EAAE,EAAE,WAAW,CAAC,CAAC,CAAC,QAAQ,MAAM,UAAU,aAAaP,EAAE,uBAAuB,CAAC,CAAC,EAAM2qE,GAAG,CAAC3qE,EAAE,EAAEE,EAAEI,EAAE8oE,KAAK,CAAC,OAAOppE,EAAE,GAAG,CAAC,IAAI,iBAAiB,CAAC,IAAIO,EAAE8kE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAE+B,EAAEojE,EAAE,mBAAmBrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,MAAM,eAAeC,EAAE,CAAC,EAAE,GAAG,EAAE,EAAE,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,IAAI,wBAAwB,CAAC,IAAI1B,EAAE8kE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAE+B,EAAEojE,EAAE,mBAAmBrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,MAAM,sBAAsBC,EAAE,CAAC,EAAE,GAAG,EAAE,EAAE,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,IAAI,gBAAgB,CAAC,IAAI1B,EAAE8kE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAE+B,EAAEojE,EAAE,WAAWrlE,EAAE,EAAEE,CAAC,EAAEgC,EAAEmjE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAEiC,EAAEkjE,EAAE,qBAAqBrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,MAAM,cAAcC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,6BAA6B,CAAC,IAAI5B,EAAE8kE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,aAAarlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,cAAcrlE,EAAE,EAAEE,CAAC,EAAE+B,EAAEojE,EAAE,YAAYrlE,EAAE,EAAEE,CAAC,EAAEgC,EAAEmjE,EAAE,gBAAgBrlE,EAAE,EAAEE,CAAC,EAAEiC,EAAEkjE,EAAE,WAAWrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,MAAM,UAAUC,EAAE,EAAE2B,EAAE,YAAY,EAAEC,EAAE,YAAY,EAAEF,EAAE,CAAC,CAAC,CAAC,CAAC,QAAQ,MAAM,UAAU,aAAajC,EAAE,uBAAuB,CAAC,CAAC,EAAM4qE,GAAG,CAAC5qE,EAAE,EAAEE,EAAEI,EAAE8oE,KAAK,CAAC,OAAOppE,EAAE,GAAG,CAAC,IAAI,QAAQ,MAAM,CAACM,EAAE,MAAM+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,WAAW,MAAM,CAACI,EAAE,SAAS+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,UAAU,MAAM,CAACI,EAAE,QAAQ+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,eAAe,MAAM,CAACI,EAAE,aAAa+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAK+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,YAAY,MAAM,CAACI,EAAE,UAAU+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,aAAa,MAAM,CAACI,EAAE,WAAW+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,aAAa,MAAM,CAACI,EAAE,WAAW+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,YAAY,MAAM,CAACI,EAAE,UAAU+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,SAAS,IAAI,WAAW,MAAM,CAACI,EAAE,MAAM+kE,EAAE,YAAYrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAM6qE,GAAG,CAAC7qE,EAAE,EAAEE,EAAEI,EAAE8oE,KAAK,CAAC,OAAOppE,EAAE,GAAG,CAAC,IAAI,cAAc,IAAI,gBAAgB,IAAI,SAAS,MAAM,CAACM,EAAE,OAAO+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,aAAarlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,aAAarlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,SAAS,MAAM,CAACI,EAAE,OAAO+kE,EAAE,WAAWrlE,EAAE,EAAEE,CAAC,EAAE,GAAGmlE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,YAAY,MAAM,CAACI,EAAE,UAAU+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,eAAe,GAAG,CAACK,EAAE,CAAC,EAAE8kE,EAAE,WAAWrlE,EAAE,EAAEE,CAAC,EAAE,EAAEK,IAAI,UAAU0B,EAAE,IAAI,QAAQC,EAAEmjE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAEiC,EAAEkjE,EAAE,iBAAiBrlE,EAAE,EAAEE,CAAC,EAAE,GAAG,EAAE,CAAC,GAAG+B,GAAGC,IAAI,EAAE,MAAM,IAAI,MAAM,oFAAoF,EAAE,GAAG,CAACD,GAAGC,IAAI,EAAE,MAAM,IAAI,MAAM,+DAA+D,CAAC,CAAC,GAAG,CAACU,EAAEC,CAAC,EAAEwiE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,MAAM,OAAO,CAAC,EAAE+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE,WAAWmlE,EAAE,aAAarlE,EAAE,EAAEE,CAAC,EAAE,WAAWmlE,EAAE,aAAarlE,EAAE,EAAEE,CAAC,EAAE,KAAK0C,EAAE,WAAW,EAAE,uBAAuBC,EAAE,eAAeV,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAanC,EAAE,uBAAuB,CAAC,CAAC,EAAM8qE,GAAG,CAAC9qE,EAAE,EAAEE,EAAEI,EAAE8oE,KAAK,CAAC,OAAOppE,EAAE,GAAG,CAAC,IAAI,gBAAgB,MAAM,CAACM,EAAE,cAAc+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,WAAWrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,iBAAiB,IAAI,mBAAmB,MAAM,CAACI,EAAE,UAAU+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,WAAWrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,mBAAmB,MAAM,CAACI,EAAE,UAAU+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,WAAWrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACI,EAAE,2BAA2B+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,UAAU,MAAM,CAACI,EAAE,QAAQ+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,aAAa,MAAM,CAACI,EAAE,WAAW+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,gBAAgB,MAAM,CAACI,EAAE,cAAc+kE,EAAE,gBAAgBrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,cAAcrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAM+qE,GAAG,CAAC/qE,EAAE,EAAEE,EAAEI,EAAE8oE,KAAK,CAAC,OAAOppE,EAAE,GAAG,CAAC,IAAI,MAAM,CAAC,IAAIiC,EAAEojE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAEgC,EAAEmjE,EAAE,WAAWrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,IAAI+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE+B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,OAAO,CAAC,IAAID,EAAEojE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAEgC,EAAEmjE,EAAE,WAAWrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,KAAK+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE+B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,MAAM,CAAC,IAAID,EAAEojE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAEgC,EAAEmjE,EAAE,WAAWrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,IAAI+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE+B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,MAAM,CAAC,IAAID,EAAEojE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAEgC,EAAEmjE,EAAE,WAAWrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,IAAI+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE+B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,MAAM,CAAC,IAAID,EAAEojE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAEgC,EAAEmjE,EAAE,WAAWrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,IAAI+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE+B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,MAAM,CAAC,IAAID,EAAEojE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAEgC,EAAEmjE,EAAE,WAAWrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,IAAI+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE+B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAID,EAAEojE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,OAAO+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE+B,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAIA,EAAEojE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,OAAO+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE+B,CAAC,CAAC,CAAC,CAAC,IAAI,OAAO,CAAC,IAAIA,EAAEojE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAEgC,EAAEmjE,EAAE,WAAWrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,KAAK+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE+B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,UAAU,CAAC,IAAID,EAAEojE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAEgC,EAAEmjE,EAAE,YAAYrlE,EAAE,EAAEE,CAAC,EAAEiC,EAAEkjE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,QAAQ+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE+B,EAAEC,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAIF,EAAEojE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAEgC,EAAEmjE,EAAE,YAAYrlE,EAAE,EAAEE,CAAC,EAAEiC,EAAEkjE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,OAAO+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE+B,EAAEC,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,WAAW,IAAI5B,EAAE8kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,SAASC,EAAE,EAAE,CAAC,CAAC,EAAE,IAAI,gBAAgB,CAAC,IAAI0B,EAAEojE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEgC,EAAEmjE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAEiC,EAAEkjE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE0C,EAAEyiE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,cAAc2B,EAAEC,EAAEC,EAAES,CAAC,CAAC,CAAC,CAAC,QAAQ,MAAM,UAAU,aAAa5C,EAAE,uBAAuB,CAAC,CAAC,EAAMgrE,GAAG,CAAChrE,EAAE,EAAEE,EAAEI,EAAE8oE,KAAK,CAAC,OAAOppE,EAAE,GAAG,CAAC,IAAI,WAAW,IAAI,SAAS,CAAC,IAAIO,EAAE8kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE,OAAO,EAAE,EAAE,MAAM,EAAEK,CAAC,EAAE,CAACD,EAAE,OAAO,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAIC,EAAE8kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,OAAOC,EAAED,EAAE,KAAK,EAAE,OAAO,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,WAAW,CAAC,IAAIC,EAAE8kE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,YAAYrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE+B,EAAEojE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,OAAO,EAAEA,EAAE,KAAK2B,EAAE,OAAO,EAAE1B,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,UAAU,CAAC,IAAIA,EAAE8kE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQ+B,EAAE,EAAEA,EAAE1B,EAAE,OAAO0B,IAAI1B,EAAE0B,IAAI,EAAE,KAAKA,CAAC,EAAE,IAAI,EAAEojE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,QAAQ,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,YAAY,CAAC,IAAIC,EAAE8kE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,QAAQ,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,QAAQ,CAAC,IAAIA,EAAE8kE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,MAAM+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEK,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,eAAe,CAAC,IAAIA,EAAE8kE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,MAAMrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE+B,EAAEojE,EAAE,YAAYrlE,EAAE,EAAEE,CAAC,EAAEgC,EAAEmjE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAEiC,EAAEkjE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAE0C,EAAEyiE,EAAE,cAAcrlE,EAAE,EAAEE,CAAC,EAAE2C,EAAEwiE,EAAE,iBAAiBrlE,EAAE,EAAEE,CAAC,EAAE4C,EAAEuiE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,aAAawC,EAAEvC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,OAAO,OAAO2wB,EAAE,IAAI,CAAC,IAAIjzB,EAAE8kE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE,EAAE,EAAE,GAAG,MAAM+B,EAAE3B,EAAE,QAAQ,EAAE,EAAE,EAAE,MAAM4B,EAAE,EAAE,IAAIC,GAAG,CAAC,IAAIS,EAAEikB,EAAE,YAAY1kB,EAAE,MAAM,CAAC,EAAE,GAAG,CAACS,GAAG,CAACikB,EAAE,YAAYvmB,EAAE,QAAQ6B,CAAC,EAAE,MAAMF,CAAC,EAAE,MAAM,IAAI,MAAM,wCAAwC,EAAE,OAAOW,EAAET,EAAE7B,EAAE,QAAQ6B,EAAE,CAAC,CAAC,CAAC,EAAE,MAAM,CAAC7B,EAAE,MAAM4B,EAAE3B,CAAC,CAAC,CAAC,CAAC,EAAE,IAAI,SAAS,CAAC,IAAIA,EAAE8kE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAE,OAAOI,EAAE,QAAQ,EAAEC,CAAC,CAAC,CAAC,IAAI,OAAO,CAAC,IAAIA,EAAE8kE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,KAAK+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEK,CAAC,CAAC,CAAC,CAAC,IAAI,QAAQ,IAAI,SAAS,CAAC,IAAIA,EAAE8kE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,kBAAkBrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE,OAAOI,EAAE,MAAM,EAAE,EAAEC,CAAC,CAAC,CAAC,IAAI,YAAY,CAAC,IAAIA,EAAE8kE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,UAAUC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,WAAW,CAAC,IAAIA,EAAE8kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,SAASC,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,gBAAgB,CAAC,IAAIA,EAAE8kE,EAAE,gBAAgBrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,cAAcrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAE+B,EAAEojE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,cAAcC,EAAE,EAAE,EAAE,EAAE,QAAQ0B,EAAE,MAAMA,EAAE3B,EAAE,KAAK2B,EAAE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,QAAQ,MAAM,UAAU,aAAajC,EAAE,uBAAuB,CAAC,CAAC,EAAMirE,GAAG,CAACjrE,EAAE,EAAEE,EAAEI,EAAE8oE,KAAK,CAAC,OAAOppE,EAAE,GAAG,CAAC,IAAI,sBAAsB,CAAC,GAAG,CAAC,cAAcO,EAAE,aAAa,EAAE,kBAAkB,EAAE,gBAAgB0B,CAAC,EAAE3B,EAAE,OAAO,oBAAoB+kE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,SAASrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,aAAarlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,CAAC,EAAE,MAAM,CAACK,EAAE,EAAE,EAAE0B,CAAC,CAAC,CAAC,IAAI,gBAAgB,CAAC,GAAG,CAAC,cAAc1B,EAAE,YAAY,CAAC,EAAED,EAAE,OAAO,cAAc+kE,EAAE,eAAerlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,aAAarlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,WAAWrlE,EAAE,EAAEE,CAAC,CAAC,EAAE,MAAM,CAACK,EAAE,CAAC,CAAC,CAAC,IAAI,oBAAoB,MAAM,CAACD,EAAE,OAAO,kBAAkB+kE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,aAAarlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,mBAAmB,MAAM,CAACI,EAAE,OAAO,iBAAiB+kE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,aAAarlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAMkrE,GAAG,CAAClrE,EAAE,EAAEE,EAAEI,EAAE8oE,KAAK,CAAC,OAAOppE,EAAE,GAAG,CAAC,IAAI,MAAM,MAAM,CAACM,EAAE,IAAI+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAK+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAK+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACI,EAAE,MAAM+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAMmrE,GAAG,CAACnrE,EAAE,EAAEE,EAAEI,EAAE8oE,KAAK,CAAC,OAAOppE,EAAE,GAAG,CAAC,IAAI,eAAe,CAAC,GAAG,CAAC,OAAOO,EAAE,aAAa,CAAC,EAAED,EAAE,OAAO,aAAa+kE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,aAAarlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,YAAYrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,cAAcrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,WAAWrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,WAAWrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,yBAAyBrlE,EAAE,EAAEE,CAAC,CAAC,EAAE,MAAM,CAACK,EAAE,CAAC,CAAC,CAAC,IAAI,cAAc,CAAC,GAAG,CAAC,QAAQA,EAAE,OAAO,EAAE,MAAM,CAAC,EAAED,EAAE,OAAO,YAAY+kE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,YAAYrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,YAAYrlE,EAAE,EAAEE,CAAC,CAAC,EAAE,MAAM,CAACK,EAAE,EAAE,CAAC,CAAC,CAAC,IAAI,yBAAyB,MAAM,CAACD,EAAE,OAAO,uBAAuB+kE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,aAAarlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAMorE,GAAG,CAACprE,EAAE,EAAEE,EAAEI,EAAE8oE,KAAK,CAAC,OAAOppE,EAAE,GAAG,CAAC,IAAI,OAAO,MAAM,CAACM,EAAE,KAAK+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,aAAa,CAAC,IAAIK,EAAE8kE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,WAAW+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEK,CAAC,CAAC,CAAC,CAAC,IAAI,UAAU,CAAC,IAAIA,EAAE8kE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,QAAQ+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEK,CAAC,CAAC,CAAC,CAAC,IAAI,UAAU,MAAM,CAACD,EAAE,QAAQ+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,YAAY,MAAM,CAACI,EAAE,UAAU+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,OAAOrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,IAAI,MAAM,MAAM,CAACI,EAAE,IAAI+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,UAAUrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,gBAAgBrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,iBAAiB,CAAC,IAAIK,EAAE8kE,EAAE,aAAarlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,WAAWrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,eAAe+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEK,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,iBAAiB,CAAC,IAAIA,EAAE8kE,EAAE,aAAarlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,eAAe+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEK,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,eAAe,CAAC,IAAIA,EAAE8kE,EAAE,YAAYrlE,EAAE,EAAEE,CAAC,EAAE,EAAEmlE,EAAE,aAAarlE,EAAE,EAAEE,CAAC,EAAE,YAAY,EAAE,MAAM,CAACI,EAAE,aAAa+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEK,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,cAAc,MAAM,CAACD,EAAE,YAAY+kE,EAAE,IAAIrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,QAAQrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,gBAAgB,MAAM,CAACI,EAAE,cAAc+kE,EAAE,KAAKrlE,EAAE,EAAEE,CAAC,EAAEmlE,EAAE,KAAKrlE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAE,SAASqrE,GAAGrrE,EAAE,EAAEE,EAAEI,EAAEC,EAAEizB,EAAE,CAAC,IAAI,GAAG,CAAC,EAAEvxB,EAAEC,IAAI,CAAC,OAAO,EAAE,SAAS,CAAC,IAAI,aAAa,OAAO3B,EAAE,IAAI8oE,GAAG,EAAEpnE,EAAEC,CAAC,CAAC,EAAE,IAAI,aAAa,OAAO3B,EAAE,IAAI+oE,GAAG,EAAErnE,EAAEC,CAAC,CAAC,EAAE,IAAI,UAAU,OAAO+nE,GAAG,EAAEhoE,EAAEC,CAAC,EAAE,IAAI,cAAc,OAAO3B,EAAE,IAAI4pE,GAAG,EAAEloE,EAAEC,CAAC,CAAC,EAAE,IAAI,WAAW,OAAO3B,EAAE,IAAI6pE,GAAG,EAAEnoE,EAAEC,CAAC,CAAC,EAAE,IAAI,UAAU,OAAOooE,GAAG,EAAEroE,EAAEC,CAAC,EAAE,IAAI,aAAa,OAAO3B,EAAE,IAAIgqE,GAAG,EAAEtoE,EAAEC,CAAC,CAAC,EAAE,IAAI,QAAQ,OAAO3B,EAAE,IAAIoqE,GAAG,EAAE1oE,EAAEC,CAAC,CAAC,EAAE,IAAI,QAAQ,OAAO3B,EAAE,IAAIiqE,GAAG,EAAEvoE,EAAEC,CAAC,CAAC,EAAE,IAAI,UAAU,OAAO3B,EAAE,IAAIqqE,GAAG,EAAE3oE,EAAEC,CAAC,CAAC,EAAE,IAAI,WAAW,OAAO3B,EAAE,IAAIsqE,GAAG,EAAE5oE,EAAEC,CAAC,CAAC,EAAE,IAAI,gBAAgB,OAAO3B,EAAE,IAAIuqE,GAAG,EAAE7oE,EAAEC,CAAC,CAAC,EAAE,IAAI,YAAY,OAAO3B,EAAE,IAAIwqE,GAAG,EAAE9oE,EAAEC,CAAC,CAAC,EAAE,IAAI,aAAa,OAAO3B,EAAE,IAAIyqE,GAAG,EAAE/oE,EAAEC,CAAC,CAAC,EAAE,IAAI,SAAS,OAAO3B,EAAE,IAAI0qE,GAAG,EAAEhpE,EAAEC,CAAC,CAAC,EAAE,IAAI,WAAW,OAAO3B,EAAE,IAAI2qE,GAAG,EAAEjpE,EAAEC,CAAC,CAAC,EAAE,IAAI,SAAS,OAAO3B,EAAE,IAAI4qE,GAAG,EAAElpE,EAAEC,CAAC,CAAC,EAAE,IAAI,iBAAiB,OAAO3B,EAAE,IAAI6qE,GAAG,EAAEnpE,EAAEC,CAAC,CAAC,EAAE,IAAI,aAAa,OAAOwoE,GAAG,EAAEzoE,EAAEC,EAAE5B,CAAC,EAAE,IAAI,SAAS,IAAI6B,EAAEgjE,GAAG,EAAE,EAAE,EAAE,GAAGhjE,GAAGA,EAAE,eAAe,OAAOA,EAAE,eAAe,IAAIgnE,GAAG,EAAElnE,EAAEC,CAAC,CAAC,EAAE,MAAM,UAAU,aAAa,EAAE,uBAAuB,EAAE,QAAQ,MAAM,UAAU,eAAe,EAAE,uIAAuI,CAAC,CAAC,GAAGlC,EAAE,EAAEE,CAAC,EAAE,OAAO2mB,EAAE,UAAU,CAAC,EAAE,EAAE,KAAK,GAAG,CAAC,EAAE,OAAO,CAAC,CAAC,EAAE,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,IAAIykD,GAAG,KAAK,CAAC,YAAYxqE,EAAE,CAAC,EAAEZ,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEK,EAAE,CAAC,EAAE,CAAC,KAAK,UAAUO,EAAE,KAAK,eAAeZ,EAAE,KAAK,cAAc,EAAE,KAAK,YAAYK,EAAE,KAAK,YAAY,CAAC,GAAG,EAAE,UAAU,GAAG,YAAY,CAAC,EAAE,KAAK,SAAS,CAAC,KAAK,WAAW,EAAE,KAAK,OAAO,EAAE,KAAK,0BAA0B,CAAC,CAAC,SAASO,EAAEZ,EAAE,CAAC,MAAM,CAAC,GAAGY,EAAE,UAAUZ,EAAE,YAAY,CAAC,CAAC,CAAC,IAAI,eAAeY,EAAE,CAAC,KAAK,WAAWA,IAAI,KAAK,SAASA,EAAE,KAAK,0BAA0B,EAAE,CAAC,IAAI,gBAAgB,CAAC,OAAO,KAAK,QAAQ,CAAC,IAAI,kBAAkB,CAAC,OAAO,KAAK,mBAAmB,EAAE,CAAC,IAAI,mBAAmB,CAAC,OAAO,KAAK,kBAAkB,CAAC,2BAA2B,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQZ,EAAE,EAAEA,EAAE,KAAK,SAAS,OAAO,EAAEA,IAAI,CAAC,IAAI,EAAE,KAAK,SAAS,MAAM,EAAE,KAAK,SAAS,OAAOA,CAAC,EAAEY,EAAE,KAAK,KAAK,qBAAqB,CAAC,CAAC,CAAC,CAACA,EAAE,KAAK,EAAE,EAAE,KAAK,mBAAmBA,CAAC,CAAC,qBAAqBA,EAAE,CAAC,OAAOA,EAAEA,EAAE,IAAIZ,GAAGA,EAAE,KAAK,GAAGA,EAAE,cAAc,EAAE,GAAG,GAAGA,EAAE,aAAaA,EAAE,aAAa,EAAE,KAAK,GAAG,EAAE,EAAE,CAAC,WAAWY,EAAE,CAAC,KAAK,WAAW,KAAK,SAAS,KAAK,SAAS,KAAK,SAAS,MAAM,EAAE,KAAK,SAAS,KAAK,KAAK,SAAS,KAAK,OAAOA,CAAC,CAAC,EAAE,KAAK,mBAAmB,QAAQ,KAAK,qBAAqB,KAAK,QAAQ,CAAC,EAAE,CAAC,WAAW,CAAC,GAAG,KAAK,UAAU,KAAK,SAAS,OAAO,EAAE,KAAK,SAAS,KAAK,SAAS,MAAM,EAAE,KAAK,SAAS,OAAO,EAAE,EAAE,KAAK,kBAAkB,MAAM,MAAO,OAAM,IAAI,MAAM,yCAAyC,CAAC,CAAC,eAAe,CAAC,GAAG,KAAK,UAAU,KAAK,SAAS,OAAO,EAAE,CAAC,KAAK,SAAS,KAAK,SAAS,MAAM,EAAE,KAAK,SAAS,IAAIA,EAAE,OAAO,OAAO,CAAC,EAAE,KAAK,SAAS,KAAK,SAAS,OAAO,EAAE,EAAEA,EAAE,aAAa,EAAEA,EAAE,GAAG,KAAK,OAAO,KAAK,SAAS,OAAO,GAAG,EAAEA,CAAC,EAAE,KAAK,mBAAmB,OAAO,EAAE,EAAE,KAAK,qBAAqB,KAAK,QAAQ,CAAC,CAAC,KAAM,OAAM,IAAI,MAAM,uDAAuD,CAAC,CAAC,UAAUA,EAAE,CAAC,OAAO,KAAK,UAAUA,EAAE,CAAC,eAAeA,EAAE,CAAC,KAAK,eAAeA,EAAE,IAAIA,CAAC,CAAC,eAAeA,EAAE,CAAC,OAAO,KAAK,eAAeA,EAAE,CAAC,cAAcA,EAAE,CAAC,KAAK,cAAcA,EAAE,IAAIA,CAAC,CAAC,cAAcA,EAAE,CAAC,OAAO,KAAK,cAAcA,EAAE,CAAC,QAAQA,EAAE,CAAC,QAAQZ,KAAK,KAAK,eAAe,KAAK,eAAeA,GAAG,cAAcY,CAAC,EAAE,QAAQZ,KAAK,KAAK,cAAc,KAAK,cAAcA,GAAG,cAAcY,CAAC,CAAC,CAAC,EAAE,SAASyqE,GAAGvrE,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAE,IAAI,IAAI,EAAE,CAAC,EAAE,EAAE,KAAK0B,EAAE,KAAKC,EAAE,IAAI,IAAIC,EAAE,OAAO,KAAKnC,CAAC,EAAE,IAAI8C,GAAGyiE,GAAGziE,CAAC,EAAE,EAAE,EAAEF,EAAE,CAAC,EAAEtC,GAAG,OAAOsC,EAAEtC,EAAE,IAAIwC,GAAGyiE,GAAGziE,EAAE,IAAI,EAAE,EAAE,GAAG,IAAID,EAAE,CAAC,GAAG,CAAC,EAAE,KAAKA,EAAE,OAAO,GAAG,CAAC,IAAIC,EAAED,EAAE,IAAI,EAAE,IAAI2oE,GAAG1oE,CAAC,GAAG2oE,GAAG3oE,CAAC,GAAG4oE,GAAG5oE,CAAC,IAAI,GAAG,OAAO,EAAEA,EAAEb,EAAE,EAAE,SAAS,IAAIc,GAAGA,EAAE,IAAI,EAAE,OAAOA,GAAGxC,EAAE,IAAIwC,CAAC,CAAC,GAAGxC,EAAE,IAAIuC,EAAE,IAAI,EAAE5C,EAAE4C,EAAE,OAAO,MAAMX,EAAE,QAAQW,EAAE,IAAI,IAAI,IAAIF,EAAE,QAAQE,EAAE,IAAI,IAAI,GAAG,CAAC,GAAGA,EAAE,OAAO,SAAS,EAAE,CAAC,EAAE,KAAKA,EAAE,IAAI,EAAE,QAAQ,CAACA,EAAE,OAAO,QAAQC,GAAG,CAACb,EAAE,IAAIa,EAAE,IAAI,IAAIb,EAAE,IAAIa,EAAE,IAAI,EAAEF,EAAE,KAAKE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,OAAO/C,EAAE,QAAQ,EAAE,UAAUO,EAAE,cAAc,EAAE,YAAY,EAAE,WAAW0B,CAAC,CAAC,CAAC,SAAS0pE,GAAG3rE,EAAE,EAAEE,EAAE,CAAC,GAAG,CAAC,UAAUI,EAAE,OAAOC,CAAC,EAAEL,EAAE,EAAE,CAAC,EAAE,EAAE,OAAO,KAAKK,CAAC,EAAE,IAAIqC,GAAG2iE,GAAG3iE,CAAC,EAAE,EAAE,EAAE,IAAIA,GAAG5C,EAAE,MAAM4C,EAAE,EAAEX,EAAEjC,EAAE,UAAU,EAAE,QAAQ4C,GAAG,CAACtC,EAAE,IAAIsC,EAAE,IAAI,GAAG,EAAE,KAAKA,CAAC,CAAC,CAAC,EAAE5C,EAAE,QAAQ,QAAQ4C,GAAG,CAACtC,EAAE,IAAIsC,EAAE,IAAI,GAAG,EAAE,KAAKA,CAAC,CAAC,CAAC,EAAEX,GAAG,MAAMA,EAAE,QAAQW,GAAG,CAACtC,EAAE,IAAIsC,EAAE,IAAI,GAAG,EAAE,KAAKA,CAAC,CAAC,CAAC,EAAE,IAAIV,EAAE,IAAI,IAAIC,EAAE,CAAC,EAAE,KAAK,EAAE,OAAO,GAAG,CAAC,IAAIS,EAAE,EAAE,IAAI,EAAEV,EAAE,IAAIU,EAAE,IAAI,EAAE,EAAEA,EAAE,OAAOT,EAAE,KAAKS,CAAC,EAAEA,EAAE,SAAS,QAAQC,GAAG,CAAC,CAACX,EAAE,IAAIW,EAAE,IAAI,GAAGvC,EAAE,IAAIuC,EAAE,IAAI,GAAGA,EAAE,OAAO,MAAMC,GAAGZ,EAAE,IAAIY,EAAE,IAAI,CAAC,GAAG,EAAE,KAAKD,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOV,CAAC,CAAC,IAAIypE,GAAG,CAAC,SAAS,QAAQ,QAAQ,OAAO,gBAAgB,cAAc,iBAAiB,KAAK,OAAO,EAAEC,GAAG,CAAC,sBAAsB,sBAAsB,sBAAsB,OAAO,EAAEC,GAAG,CAAC,YAAY,cAAc,oBAAoB,sBAAsB,kBAAkB,oBAAoB,kBAAkB,mBAAmB,EAAE,SAASN,GAAGxrE,EAAE,CAAC,OAAO4rE,GAAG,QAAQ5rE,EAAE,EAAE,GAAG,CAAC,CAAC,SAASyrE,GAAGzrE,EAAE,CAAC,OAAO6rE,GAAG,QAAQ7rE,EAAE,EAAE,GAAG,CAAC,CAAC,SAAS0rE,GAAG1rE,EAAE,CAAC,OAAO8rE,GAAG,QAAQ9rE,EAAE,EAAE,GAAG,CAAC,CAAC,IAAI+rE,GAAG,KAAK,CAAC,YAAYjrE,EAAEZ,EAAE,CAAC,KAAK,MAAMY,EAAE,KAAK,OAAOZ,EAAE,KAAK,YAAY,IAAI,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,UAAU,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,qBAAqB,CAAC,EAAE,KAAK,oBAAoB,CAAC,EAAE,KAAK,mBAAmB,GAAG,KAAK,SAASY,EAAE,QAAQ,KAAK,QAAQA,EAAE,OAAO,KAAK,WAAWA,EAAE,UAAU,KAAK,WAAWA,EAAE,UAAU,KAAK,WAAWA,EAAE,UAAUA,EAAE,WAAW,MAAM,OAAO,KAAKA,EAAE,SAAS,EAAE,QAAQ,GAAG,CAAC,KAAK,qBAAqB,GAAG,IAAIirE,GAAGjrE,EAAE,UAAU,GAAG,IAAI,CAAC,CAAC,CAAC,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,OAAO,KAAK,OAAO,UAAU,KAAK,UAAU,CAAC,IAAI,qBAAqB,CAAC,OAAO,KAAK,OAAO,KAAK,OAAO,oBAAoB,KAAK,oBAAoB,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,OAAO,KAAK,OAAO,UAAU,KAAK,UAAU,CAAC,IAAI,UAAUA,EAAE,CAAC,IAAIZ,EAAE,OAAO,KAAKY,CAAC,EAAE,IAAI,GAAGA,EAAE,GAAG,IAAIP,GAAGA,EAAE,EAAE,CAAC,EAAE,KAAK,WAAW,CAAC,EAAE,OAAO,GAAGL,CAAC,EAAE,KAAK,WAAWY,CAAC,CAAC,IAAI,gBAAgBA,EAAE,CAAC,KAAK,iBAAiBA,CAAC,CAAC,IAAI,QAAQ,CAAC,OAAO,KAAK,QAAQ,IAAIA,IAAI,CAAC,KAAKA,EAAE,KAAK,MAAMA,EAAE,WAAW,MAAMA,EAAE,WAAW,MAAM,MAAM,OAAO,MAAMA,EAAE,WAAW,MAAMA,EAAE,WAAW,MAAM,MAAM,MAAM,EAAE,CAAC,CAAC,IAAI,SAAS,CAAC,OAAO,KAAK,SAAS,IAAIA,IAAI,CAAC,KAAKA,EAAE,KAAK,MAAMA,EAAE,WAAW,MAAMA,EAAE,WAAW,MAAM,MAAM,OAAO,MAAMA,EAAE,WAAW,MAAMA,EAAE,WAAW,MAAM,MAAM,MAAM,EAAE,CAAC,CAAC,IAAI,YAAY,CAAC,OAAO,KAAK,QAAQ,IAAIA,GAAGA,EAAE,cAAcA,EAAE,IAAI,CAAC,CAAC,IAAI,aAAa,CAAC,OAAO,KAAK,SAAS,IAAIA,GAAG,CAAC,IAAIZ,EAAEY,EAAE,cAAcA,EAAE,KAAK,OAAOA,EAAE,cAAc,GAAGZ,KAAKY,EAAE,gBAAgBZ,CAAC,CAAC,CAAC,CAAC,IAAI,WAAW,CAAC,OAAO,OAAO,KAAK,KAAK,UAAU,EAAE,OAAO,CAACY,EAAEZ,KAAKY,EAAEZ,GAAG,KAAK,WAAWA,GAAG,UAAUY,GAAG,CAAC,CAAC,CAAC,CAAC,kBAAkBA,EAAEZ,EAAE,CAAC,IAAI,EAAEY,EAAE,IAAIiB,GAAGA,EAAE,IAAI,EAAE,KAAK,EAAExB,EAAEL,EAAE,IAAI6B,GAAGA,EAAE,IAAI,EAAE,KAAK,EAAE,OAAO,EAAE,KAAK,KAAK,SAAS,EAAE,KAAKxB,EAAE,KAAK,KAAK,SAAS,CAAC,CAAC,QAAQO,EAAEZ,EAAE,CAAC,IAAI,EAAEqrE,GAAGzqE,EAAEZ,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,cAAcK,EAAE,YAAYwB,EAAE,WAAWC,CAAC,EAAE,EAAE,GAAGD,GAAG,KAAK,MAAM,IAAI,MAAM,qCAAqCA,EAAE,oCAAoCA,EAAE,8GAA8GC,IAAI,EAAE,GAAGzB,EAAE,OAAO,EAAE,CAAC,IAAI0B,EAAE/B,EAAE,IAAI,GAAG,EAAE,IAAI,EAAEgC,EAAE,OAAO,KAAKpB,CAAC,EAAE,MAAM,IAAI,MAAM,+BAA+BmB,gCAAgCC,sCAAsC3B,IAAI,CAAC,CAAC,OAAOorE,GAAG,KAAK,MAAM,KAAK,UAAU,CAAC,CAAC,CAAC,QAAQ7qE,EAAEZ,EAAE,CAACY,EAAE,KAAK,UAAUA,CAAC,EAAE,IAAI,EAAE,OAAO,KAAKA,CAAC,EAAE,KAAK,EAAE,KAAK,YAAYA,CAAC,EAAE,KAAK,uBAAuBA,CAAC,EAAEZ,EAAE,KAAK,WAAWA,CAAC,EAAE,KAAK,aAAaA,CAAC,EAAE,IAAIK,EAAE,EAAE,IAAI,GAAG,KAAK,MAAM,MAAMglE,GAAG,CAAC,EAAE,GAAG,EAAExjE,EAAE7B,EAAE,IAAI,GAAGqlE,GAAG,CAAC,EAAE,EAAE,EAAEvjE,EAAED,EAAE,IAAI,GAAG,KAAK,MAAM,MAAM,EAAE,EAAE,KAAK,yBAAyB,EAAEC,EAAE,SAAS,IAAIA,EAAE,KAAK,UAAU,IAAIC,EAAE,KAAK,kBAAkB1B,EAAEyB,CAAC,EAAEE,EAAE,KAAK,YAAY,IAAID,CAAC,EAAEC,GAAG,OAAOA,EAAE,KAAK,QAAQpB,EAAEkB,CAAC,EAAE,KAAK,YAAY,IAAIC,EAAEC,CAAC,GAAG,IAAI,EAAE,CAAC,EAAEU,EAAE,CAAC,EAAE,OAAO4wB,EAAE,IAAI,CAAC,IAAI,EAAE,IAAI83C,GAAG,KAAK,UAAU,EAAE1oE,EAAE,KAAK,mBAAmB,EAAEE,EAAE,OAAO,OAAO,CAAC,EAAE,KAAK,SAAS,EAAE,OAAO,KAAKhC,CAAC,EAAE,QAAQoD,GAAG,CAAC,GAAG,CAACC,EAAEoD,CAAC,EAAEg+D,GAAGrhE,CAAC,EAAE,EAAE,CAAC,EAAE,EAAEqD,GAAGzG,EAAEoD,GAAGpB,EAAEqB,GAAG,CAAC,CAAC,EAAE,IAAIpB,EAAE,KAAK,mBAAmBD,CAAC,EAAEE,EAAE,CAAC,EAAE,QAAQkB,EAAE,EAAEA,EAAEhC,EAAE,OAAOgC,IAAI,CAAC,IAAIC,EAAEjC,EAAEgC,GAAG,GAAG,CAACpB,EAAEqB,EAAE,MAAM,CAAC,IAAIoD,EAAE8jE,GAAGlnE,EAAErB,EAAE,EAAE,KAAK,gBAAgB,EAAE,GAAG+jB,EAAE,UAAUtf,CAAC,EAAE,MAAM,IAAI,MAAM,4BAA4BpD,EAAE,kEAAkE,EAAErB,EAAEqB,EAAE,MAAMoD,EAAE,KAAK,uBAAuBpD,EAAE,KAAKA,EAAErB,EAAE,EAAEC,EAAEhB,EAAEiB,CAAC,CAAC,CAAC,CAAC,OAAO,KAAK,QAAQ,MAAM,EAAE,QAAQD,CAAC,EAAE7C,EAAE,IAAIgE,GAAGohE,GAAGphE,EAAEpB,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBhC,EAAE,CAAC,IAAIZ,EAAE,CAAC,EAAE,OAAO,MAAM,CAAC,EAAE,OAAO,KAAKY,CAAC,EAAE,IAAI,GAAGA,EAAE,EAAE,EAAE,IAAI,GAAG,EAAE,IAAIP,GAAGA,EAAE,EAAE,CAAC,CAAC,EAAE,OAAO,IAAI,IAAIL,CAAC,CAAC,CAAC,uBAAuBY,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAEC,EAAE,CAAC/B,EAAE,WAAW,WAAW8B,EAAE,QAAQlB,CAAC,IAAI,KAAK,EAAEA,GAAG,QAAQoB,GAAG,CAACA,GAAG,OAAOD,EAAEC,EAAE,KAAKD,EAAEC,EAAE,KAAK,GAAGhC,EAAE,SAAS,OAAO,CAAC,EAAEA,EAAE,OAAO,QAAQgC,GAAG,CAAC,GAAGA,EAAE,WAAW,UAAU,CAAC,IAAI,EAAEujE,GAAGvjE,EAAE,KAAK,EAAE3B,CAAC,EAAE,GAAG,MAAM,EAAE,QAAQqC,GAAG,CAAC,GAAGA,GAAG,CAACA,EAAE,MAAM,CAACb,EAAE,IAAIa,EAAE,EAAE,EAAE,CAAC,IAAI,EAAEX,EAAEW,EAAE,IAAI,GAAG,IAAI,EAAE,CAAC,GAAG,CAAC,KAAK,mBAAmBA,EAAE,QAAQ,MAAM,CAAC,GAAG,CAACE,EAAEC,CAAC,EAAE2iE,GAAGxlE,EAAE,KAAKK,CAAC,EAAE,KAAK,oBAAoBuC,GAAG,KAAK,oBAAoBA,GAAGC,GAAGH,GAAG,KAAK,oBAAoBE,GAAG,CAAC,EAAE,KAAK,oBAAoBA,GAAGC,GAAGH,EAAE,CAAC,OAAOX,EAAEW,EAAE,GAAG,MAAM,GAAG,MAAMX,EAAEW,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,MAAM,aAAa9B,EAAEZ,EAAE,CAAC,OAAO,KAAK,cAAcY,EAAEZ,CAAC,CAAC,CAAC,4BAA4B,CAAC,CAAC,KAAK,sBAAsB,OAAO,KAAK,KAAK,mBAAmB,EAAE,QAAQY,GAAG,KAAK,oBAAoBA,GAAG,QAAQZ,GAAGA,EAAE,QAAQ,CAAC,CAAC,EAAE,KAAK,kBAAkB,EAAE,CAAC,mBAAmB,CAAC,CAAC,KAAK,YAAY,OAAO,KAAK,KAAK,UAAU,EAAE,QAAQY,GAAG,CAAC,KAAK,WAAWA,GAAG,QAAQR,GAAG,CAACA,GAAG,CAACA,EAAE,MAAM,CAACA,EAAE,YAAY,CAAC,KAAK,QAAQ,IAAIA,EAAE,EAAE,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,wBAAwB,CAAC,OAAO,KAAK,UAAU,CAAC,0BAA0B,CAAC,QAAQQ,KAAK,KAAK,oBAAoB,KAAK,oBAAoBA,GAAG,QAAQZ,GAAGA,EAAE,QAAQ,CAAC,EAAE,OAAO,KAAK,oBAAoBY,EAAE,CAAC,MAAM,cAAcA,EAAEZ,EAAE,EAAE,GAAGK,EAAE,CAAC,EAAEwB,EAAE,CAAC,EAAE,CAAC,IAAIjB,EAAE,KAAK,UAAUA,CAAC,EAAE,KAAK,YAAYA,CAAC,EAAE,KAAK,uBAAuBA,CAAC,EAAEZ,EAAE,KAAK,WAAWA,CAAC,EAAE,KAAK,aAAaA,CAAC,GAAG,GAAG,CAAC,KAAK,mBAAmBua,EAAE,EAAE,QAAQ,2BAA2B,CAAC,OAAO7X,EAAN,CAAS,QAAQ,KAAKA,EAAE,OAAO,CAAC,CAAC,KAAK,yBAAyB,EAAE,IAAIZ,EAAE,IAAIspE,GAAG,KAAK,UAAU/qE,EAAEwB,EAAE,KAAK,mBAAmB,EAAE,KAAK,WAAW,MAAM,KAAK,uBAAuBjB,EAAEkB,EAAE9B,EAAE,CAAC,EAAE,IAAI+B,EAAE/B,EAAE,IAAI0C,GAAG0iE,GAAG1iE,EAAE,KAAK,WAAWZ,CAAC,CAAC,EAAEE,EAAED,EAAE,IAAIW,GAAGA,EAAE,EAAE,EAAE,EAAE,OAAO,KAAK9B,CAAC,EAAE,IAAI8B,GAAG9B,EAAE8B,GAAG,EAAE,EAAE,OAAO,KAAK,QAAQ,IAAI,IAAI,CAAC,GAAGV,EAAE,GAAG,EAAE,GAAG,KAAK,SAAS,CAAC,EAAE,KAAK,oBAAoB,KAAK,kBAAkB,EAAE,KAAK,QAAQ,MAAMF,EAAE,QAAQ,KAAK,OAAO,EAAEC,CAAC,CAAC,MAAM,qBAAqBnB,EAAEZ,EAAE,EAAE,CAAC,IAAIK,EAAEO,EAAE,OAAO,CAACiB,EAAEC,EAAEC,KAAKF,EAAE,KAAK,OAAOE,GAAG,MAAMD,EAAED,GAAG,CAAC,CAAC,EAAE,OAAO,KAAK,cAAcxB,EAAE,KAAK,YAAY,GAAGL,EAAE,CAAC,CAAC,CAAC,MAAM,uBAAuBY,EAAEZ,EAAE,EAAEK,EAAE,CAAC,IAAIwB,EAAE,OAAO,KAAKjB,CAAC,EAAEkB,EAAED,EAAE,IAAI4C,GAAG,KAAK,MAAM,MAAM4gE,GAAG5gE,CAAC,EAAE,GAAG,EAAE1C,EAAE,EAAE,IAAI0C,GAAG4gE,GAAG5gE,CAAC,EAAE,EAAE,EAAEzC,EAAED,EAAE,IAAI0C,GAAG,KAAK,MAAM,MAAMA,EAAE,EAAEzC,EAAE,SAAS,IAAIA,EAAE,KAAK,UAAU,GAAG,CAAC,UAAU,EAAE,cAAcU,EAAE,YAAY,EAAE,WAAWE,CAAC,EAAEyoE,GAAGzqE,EAAEoB,EAAE,KAAK,UAAU,KAAK,UAAU,EAAEa,EAAE,CAAC,GAAGf,EAAE,GAAG,KAAK,MAAM,QAAQ,GAAG,KAAK,YAAY,CAAC,CAAC,EAAE,IAAI2C,IAAI,CAAC,KAAKA,EAAE,SAASzE,EAAE,cAAc,EAAE,EAAE8C,EAAE,OAAO,OAAO,CAAC,EAAE,KAAK,SAAS,EAAE,OAAO,KAAKlC,CAAC,EAAE,QAAQ6D,GAAG,CAAC,GAAG,CAACC,EAAEC,CAAC,EAAE0gE,GAAG5gE,CAAC,EAAEG,EAAE,CAAC,EAAEA,EAAED,GAAG/D,EAAE6D,GAAG3B,EAAE4B,GAAGE,CAAC,CAAC,EAAE,IAAIZ,EAAE,CAAC,EAAEC,EAAE,KAAK,mBAAmBnB,CAAC,EAAEuE,EAAE,CAAC,EAAE,KAAKxE,EAAE,OAAO,GAAG,CAAC,IAAI4B,EAAE,KAAK,aAAa3C,EAAEe,EAAE7C,EAAE8C,EAAEuE,EAAEpD,EAAElC,EAAEiC,EAAE,CAAC,EAAE,MAAM,QAAQ,IAAIS,CAAC,CAAC,CAAC,GAAG,MAAM,CAACpE,GAAG,QAAQ,KAAK,iIAAiI,EAAE,IAAI,EAAE2B,EAAE,OAAOyC,GAAG,CAAC6mE,GAAG7mE,CAAC,GAAG,CAAC2gE,GAAG3gE,EAAE,KAAK3B,EAAE9C,CAAC,CAAC,EAAE,IAAIyE,GAAGA,EAAE,IAAI,EAAE,GAAG,EAAE,OAAO,EAAE,CAAC,IAAIA,EAAE,GAAG,MAAM,GAAG,OAAOA,EAAE,wFAAwF7B,MAAM,IAAI,MAAM,+BAA+B,gCAAgCf,iDAAiDa,OAAO+B,GAAG,CAAC,CAAC,OAAO3B,CAAC,CAAC,aAAalC,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAEC,EAAEC,EAAE,EAAE,CAAC,IAAIU,EAAE,CAAC,EAAE,KAAK1C,EAAE,OAAO,GAAG,CAAC,IAAI,EAAEA,EAAE,IAAI,EAAE,EAAE,eAAe,EAAE,SAAS,IAAI4C,EAAE,GAAG,GAAG,EAAE,KAAK,KAAK,SAASuiE,EAAE,aAAa,EAAE,KAAK9kE,EAAE,CAAC,IAAI,CAACuC,CAAC,EAAE4iE,GAAG,EAAE,KAAK,KAAK,CAAC,GAAGnlE,EAAE,EAAE,KAAK,OAAO,KAAK,CAAC,IAAIwC,EAAEsoE,GAAG,EAAE,KAAK9qE,EAAE,EAAE,KAAK,gBAAgB,EAAEuC,IAAI,CAACA,CAAC,EAAE4iE,GAAG,EAAE,KAAK,KAAK,CAAC,GAAG,IAAI1iE,EAAE,EAAE,eAAe6jB,EAAE,UAAU9jB,CAAC,EAAEH,EAAE,KAAKG,EAAE,KAAKmB,IAAI3D,EAAEuC,GAAGoB,EAAE,EAAE,eAAelB,EAAE,KAAK,uBAAuBF,EAAE,EAAE,KAAKvC,EAAE,EAAEyB,EAAEC,EAAEC,CAAC,EAAE,KAAK,kBAAkB,EAAE,KAAKhC,EAAE,EAAEK,EAAEwB,EAAE,CAAC,EAAEmC,EAAE,CAAC,GAAG3D,EAAEuC,GAAGC,EAAE,KAAK,uBAAuBD,EAAE,EAAE,KAAKvC,EAAE,EAAEyB,EAAEC,EAAEC,CAAC,EAAE,KAAK,kBAAkB,EAAE,KAAKhC,EAAE,EAAEK,EAAEwB,EAAE,CAAC,EAAE,MAAM,KAAK,kBAAkB,EAAE,KAAK7B,EAAE,EAAEK,EAAEwB,EAAE,CAAC,CAAC,CAAC,OAAOa,CAAC,CAAC,kBAAkB9B,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAE,CAAClB,EAAE,SAAS,QAAQmB,GAAG,CAAC,GAAG,CAACC,CAAC,EAAEwjE,GAAGzjE,EAAE,KAAK,CAAC,EAAEF,EAAEG,IAAI,CAACF,EAAE,IAAIC,EAAE,IAAI,IAAIA,EAAE,KAAK,QAAQA,EAAE,WAAW,KAAK,GAAG,CAAC,CAACqjE,GAAG,EAAE/kE,EAAE,CAAC,CAAC,IAAIwB,EAAEG,GAAG,GAAGhC,EAAE,KAAK,CAAC,SAAS,EAAE,eAAe,KAAK+B,CAAC,CAAC,GAAGA,EAAE,WAAW,MAAM,GAAG,CAAC,CAACqjE,GAAG,EAAE/kE,EAAE,CAAC,CAAC,IAAIwB,EAAEG,GAAG,GAAGhC,EAAE,KAAK,CAAC,SAAS,EAAE,eAAe,KAAK+B,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,SAAS,CAAC,OAAO,KAAK,KAAK,SAAS,EAAE,QAAQnB,GAAG,KAAK,UAAUA,GAAG,QAAQZ,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,uBAAuBY,EAAE,CAAC,OAAO,KAAKA,CAAC,EAAE,QAAQZ,GAAG,CAAC,IAAI,EAAEY,EAAEZ,GAAG,CAACK,CAAC,EAAEglE,GAAGrlE,CAAC,EAAE6B,EAAE,KAAK,MAAM,MAAMxB,GAAG,GAAGwB,EAAE,WAAW,OAAOA,EAAE,WAAW,MAAM,MAAM,CAAC,IAAIC,EAAED,EAAE,WAAW,MAAM,MAAME,EAAED,EAAE,SAAS,EAAE,MAAM,QAAQ,EAAE,MAAM,MAAM,CAACE,EAAE,IAAIF,EAAE,KAAK,IAAIA,EAAE,KAAKE,CAAC,EAAE2kB,EAAE,OAAO5kB,EAAE,IAAI,sBAAsBF,EAAE,mDAAmDC,gBAAgB,EAAE,QAAQ,CAAC,CAACD,EAAE,WAAW,OAAOA,EAAE,WAAW,MAAM,OAAO8kB,EAAE,OAAO,EAAE,QAAQ9kB,EAAE,WAAW,MAAM,MAAM,IAAI,sBAAsBA,EAAE,kDAAkDA,EAAE,WAAW,MAAM,kBAAkB,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,UAAUjB,EAAE,CAAC,IAAIZ,EAAE,CAAC,EAAE,QAAQ,KAAKY,EAAE,GAAG,KAAK,YAAY,MAAM,KAAK,WAAW,QAAQ,MAAM,KAAK,WAAW,OAAO,IAAI,KAAK,CAAC,IAAIP,EAAE,KAAK,WAAW,OAAO,GAAGL,EAAEK,EAAE,MAAMO,EAAE,EAAE,MAAMZ,EAAE,GAAGY,EAAE,GAAG,OAAOZ,CAAC,CAAC,YAAYY,EAAE,CAAC,IAAIZ,EAAE,OAAO,KAAKY,CAAC,EAAE,OAAO,GAAG,CAAC,GAAG,CAACP,CAAC,EAAEglE,GAAG,CAAC,EAAE,OAAO,KAAK,MAAM,MAAMhlE,IAAI,IAAI,CAAC,EAAE,GAAGL,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,uDAAuDA,+BAA+B,CAAC,CAAC,WAAWY,EAAE,CAAC,OAAOA,EAAE,IAAIZ,GAAG,KAAK,YAAY,MAAM,KAAK,WAAW,SAAS,MAAM,KAAK,WAAW,QAAQA,IAAI,KAAK,KAAK,WAAW,QAAQA,GAAG,KAAKA,EAAE,CAAC,CAAC,CAAC,CAAC,aAAaY,EAAE,CAACA,EAAE,QAAQZ,GAAG,CAAC,GAAG,CAAC,CAAC,EAAEqlE,GAAGrlE,CAAC,EAAE,GAAG,CAAC,KAAK,MAAM,MAAM,GAAG,MAAM,IAAI,MAAM,eAAeA,8BAA8B,CAAC,CAAC,CAAC,CAAC,EAAM8rE,GAAG,KAAK,CAAC,YAAYlrE,EAAE,CAAC,EAAEZ,EAAE,CAAC,EAAE,CAAC,KAAK,sBAAsBY,EAAE,KAAK,aAAaZ,CAAC,CAAC,aAAaY,EAAEZ,EAAE,CAAC,KAAK,sBAAsBY,GAAGZ,EAAE,OAAO,KAAK,aAAaA,EAAE,IAAIA,CAAC,CAAC,yBAAyBY,EAAE,CAAC,OAAO,KAAK,sBAAsBA,EAAE,CAAC,iBAAiBA,EAAE,CAAC,OAAO,KAAK,aAAaA,EAAE,CAAC,SAAS,CAAC,QAAQA,KAAK,KAAK,aAAa,KAAK,aAAaA,GAAG,cAAc,EAAE,OAAO,KAAK,aAAaA,GAAG,QAAQA,KAAK,KAAK,sBAAsB,KAAK,sBAAsBA,GAAG,QAAQ,EAAE,OAAO,KAAK,sBAAsBA,EAAE,CAAC,EAAMmrE,GAAG,oBAAoBC,GAAG,aAAaC,GAAG,KAAK,CAAC,YAAYrrE,EAAEZ,EAAE,CAAC,EAAE,EAAE2wB,GAAG,CAAC,KAAK,SAAS/vB,EAAE,KAAK,YAAYZ,EAAE,KAAK,QAAQ,MAAM,KAAK,GAAG,EAAEA,GAAG,OAAO,KAAK,YAAY,CAAC,GAAG,KAAK,gBAAgB,IAAI8rE,EAAE,CAAC,IAAI,cAAc,CAAC,OAAO,KAAK,OAAO,CAAC,IAAI,YAAY,CAAC,OAAO,KAAK,SAAS,UAAU,CAAC,IAAI,aAAa,CAAC,OAAO,KAAK,SAAS,WAAW,CAAC,IAAI,QAAQ,CAAC,OAAO,KAAK,SAAS,MAAM,CAAC,IAAI,SAAS,CAAC,OAAO,KAAK,SAAS,OAAO,CAAC,IAAI,SAAS,CAAC,OAAO,KAAK,SAAS,SAAS,CAAC,IAAI,UAAU,CAAC,OAAO,KAAK,UAAU,mBAAmB,CAAC,IAAI,gBAAgB,CAAC,OAAO,KAAK,SAAS,CAAC,IAAI,2BAA2B,CAAC,OAAO,KAAK,oBAAoB,CAAC,eAAe,CAAC,IAAIlrE,EAAE,KAAK,SAAS,GAAGA,EAAE,MAAM,KAAK,KAAK,QAAQA,UAAU,KAAK,YAAY,aAAa,KAAK,KAAK,QAAQ,KAAK,GAAG,mBAAmBA,EAAE,KAAK,WAAW,MAAM,CAAC,IAAIZ,EAAE,KAAK,GAAG,gBAAgBY,EAAE,KAAK,WAAW,EAAE,GAAGZ,EAAE,SAAS,EAAEA,EAAE,KAAK,KAAK,GAAG,mBAAmBY,EAAE,KAAK,WAAW,CAAC,UAAUZ,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,wBAAwBA,EAAE,kCAAkC,CAACY,CAAC,IAAI,EAAE,KAAK,QAAQZ,EAAE,EAAE,CAAC,CAAC,MAAM,CAAC,GAAG,KAAK,cAAc,EAAE,KAAK,QAAQ,MAAM,KAAK,MAAM,IAAI,MAAM,+GAA+G,EAAE,IAAIY,EAAE,KAAK,QAAQ,KAAK,EAAE,OAAO+lB,EAAE,UAAU/lB,CAAC,EAAEA,EAAE,KAAKZ,GAAG,KAAK,SAASA,CAAC,CAAC,EAAE,KAAK,SAASY,CAAC,CAAC,CAAC,SAASA,EAAE,CAAC,KAAK,UAAUA,EAAE,IAAIZ,EAAE,KAAK,UAAU,cAAc,EAAE,KAAK,UAAU,UAAU,GAAG,KAAK,UAAU,qBAAqB,KAAK,CAAC,IAAI6B,EAAE,KAAK,UAAU,oBAAoBA,EAAE,WAAW,OAAO,EAAEA,EAAE,WAAWA,EAAE,sBAAsB,OAAO,KAAK,qBAAqBA,EAAE,qBAAqB,CAAC,KAAK,UAAU,EAAE,KAAK,QAAQ,GAAG7B,EAAE,SAAS,YAAYA,EAAE,SAAS,cAAc,IAAIK,EAAE,KAAK,GAAG,cAAc,KAAK,UAAU,WAAW,KAAK,UAAU,WAAW,EAAE,GAAG,KAAK,SAAS,IAAIwrE,GAAG5D,GAAG,SAAS,eAAejoE,EAAE,KAAK,SAAS,CAAC,EAAE,KAAK,SAAS,UAAU,KAAK,6BAA6BK,CAAC,EAAE,KAAK,SAAS,gBAAgB,KAAK,gBAAgBO,EAAE,kBAAkB,MAAMA,EAAE,iBAAiB,MAAM,KAAK,CAAC,IAAIiB,EAAEomE,GAAG,SAAS,eAAernE,EAAE,gBAAgB,EAAE,KAAK,YAAY,IAAIirE,GAAGhqE,CAAC,EAAE,KAAK,YAAY,UAAU,KAAK,SAAS,UAAU,KAAK,YAAY,gBAAgB,KAAK,gBAAgB,KAAK,YAAY,aAAa,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,MAAM,EAAE,CAAC,MAAM,KAAKjB,EAAEZ,EAAE,CAAC,GAAG,OAAOY,GAAG,SAAS,CAAC,IAAI,EAAE,KAAK,GAAG,gBAAgBA,CAAC,EAAE,GAAG,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,0CAA0CA,IAAI,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,wBAAwB,EAAE,kCAAkCA,IAAI,EAAEA,EAAE,EAAE,EAAE,CAAC,GAAGA,EAAE,MAAM,KAAK,MAAM,IAAI,MAAM,6GAA6G,EAAE,OAAOA,EAAE,KAAK,KAAK,SAAS,CAAC,CAAC,QAAQA,EAAEZ,EAAE,CAAC,IAAI,EAAE,KAAK,QAAQY,EAAE,KAAK,WAAW,EAAE,GAAG,KAAK,qBAAqB,CAAC,IAAIP,EAAE,aAAaqpB,GAAG,CAAC,CAAC,EAAE,EAAE7nB,EAAE,CAAC,EAAE,OAAOxB,EAAE,QAAQ,CAACyB,EAAEC,IAAIF,EAAE,KAAK,qBAAqBE,IAAID,CAAC,EAAED,CAAC,CAAC,OAAO,CAAC,CAAC,gBAAgBjB,EAAE,CAAC,GAAG,EAAEA,aAAa8oB,KAAK,CAAC,MAAM,QAAQ9oB,CAAC,EAAE,OAAOA,EAAE,GAAGA,EAAE,MAAM,QAAQA,CAAC,EAAEA,EAAE,CAACA,CAAC,EAAEA,EAAE,SAAS,KAAK,WAAW,OAAO,MAAM,IAAI,MAAM,mDAAmD,KAAK,WAAW,wCAAwCA,EAAE,uBAAuB,EAAE,OAAO,KAAK,WAAW,OAAO,CAACZ,EAAE,EAAEK,KAAKL,EAAE,GAAGY,EAAEP,GAAGL,GAAG,CAAC,CAAC,CAAC,CAAC,iBAAiBY,EAAE,CAAC,OAAOA,EAAEA,GAAG,KAAK,YAAY,MAAM,QAAQA,CAAC,EAAEA,EAAE,CAACA,CAAC,CAAC,CAAC,QAAQA,EAAEZ,EAAE,CAACY,EAAE,KAAK,gBAAgBA,CAAC,EAAEZ,EAAE,KAAK,iBAAiBA,CAAC,EAAE,IAAI,EAAE,KAAK,SAAS,QAAQY,EAAEZ,CAAC,EAAE,OAAO,EAAE,OAAO,EAAE,EAAE,EAAE,EAAE,CAAC,MAAM,aAAaY,EAAEZ,EAAE,CAACY,EAAE,KAAK,gBAAgBA,CAAC,EAAEZ,EAAE,KAAK,iBAAiBA,CAAC,EAAE,IAAI,EAAE,MAAM,KAAK,SAAS,aAAaY,EAAEZ,CAAC,EAAE,OAAO,EAAE,OAAO,EAAE,EAAE,EAAE,EAAE,CAAC,wBAAwB,CAAC,OAAO,KAAK,SAAS,uBAAuB,CAAC,CAAC,4BAA4B,CAAC,KAAK,SAAS,2BAA2B,CAAC,CAAC,6BAA6BY,EAAE,CAAC,OAAO,OAAO,KAAKA,CAAC,EAAE,OAAO,CAACZ,EAAE,KAAKA,EAAE,GAAG,CAACY,EAAE,EAAE,EAAEZ,GAAG,CAAC,CAAC,CAAC,CAAC,SAAS,CAAC,KAAK,SAAS,QAAQ,EAAE,KAAK,aAAa,KAAK,YAAY,QAAQ,EAAE,KAAK,gBAAgB,QAAQ,CAAC,CAAC,EAAE,eAAeksE,GAAGpsE,EAAE,EAAE,CAAC,EAAEE,EAAE2wB,GAAG,CAAC,GAAG7wB,GAAG,KAAK,MAAM,IAAI,MAAM,wGAAwG,EAAE,GAAG,OAAO,EAAE,CAAC,GAAG,EAAE,WAAW,OAAOA,GAAG,WAAWA,EAAEqsE,GAAGrsE,CAAC,GAAG,IAAIM,EAAE,IAAI6rE,GAAGnsE,EAAE,EAAEE,CAAC,EAAE,OAAO,MAAMI,EAAE,KAAK,EAAEA,CAAC,CAAC,SAASgsE,GAAGtsE,EAAE,CAAC,GAAGA,GAAG,KAAK,MAAM,IAAI,MAAM,sHAAsH,EAAE,IAAI,EAAE,GAAGA,aAAa,MAAM,CAAC,GAAG,CAACM,EAAEC,CAAC,EAAEP,EAAE,GAAG,CAACM,EAAE,MAAM,IAAI,MAAM,kDAAkD,EAAE,GAAG,CAACC,GAAG,EAAEA,aAAa,aAAa,MAAM,IAAI,MAAM,mEAAmE,EAAE,GAAG,EAAE,kBAAkBD,GAAG,MAAM,IAAI,MAAM,uCAAuC,EAAE,GAAG,EAAE,oBAAoBA,GAAG,MAAM,IAAI,MAAM,yCAAyC,EAAE,IAAI,EAAEuwB,GAAG,eAAevwB,EAAE,eAAe,EAAE,EAAEuwB,GAAG,6BAA6BvwB,EAAE,EAAEC,CAAC,EAAE,EAAEswB,GAAG,eAAe,CAAC,CAAC,SAAS,SAAS7wB,EAAE,EAAEA,UAAU,kBAAkBA,GAAG,gBAAgBA,GAAG,eAAeA,EAAE,EAAE6wB,GAAG,eAAe7wB,CAAC,MAAO,OAAM,IAAI,MAAM,sBAAsB,EAAE,IAAIE,EAAE,IAAIisE,GAAG,CAAC,EAAE,OAAOjsE,EAAE,KAAK,EAAEA,CAAC,CAAC,SAASmsE,GAAGrsE,EAAE,CAAC,OAAOA,EAAE,SAAS,GAAG,IAAIA,EAAEA,EAAE,KAAK,GAAGA,IAAIksE,KAAKD,IAAI,CAAC,IAAIM,GAAG,SAAaC,GAAG,CAAC,EAAEpsE,GAAGosE,GAAG,CAAC,WAAW,IAAIC,GAAG,QAAQ,IAAIC,GAAG,eAAe,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,cAAc,IAAIC,GAAG,MAAM,IAAIC,GAAG,IAAI,IAAIC,GAAG,KAAK,IAAIC,GAAG,UAAU,IAAIC,GAAG,WAAW,IAAIC,GAAG,aAAa,IAAIC,GAAG,OAAO,IAAIC,GAAG,IAAI,IAAIC,EAAE,CAAC,EAAE,IAAIC,GAAG9sE,GAAG+E,GAAG,CAAC,EAAMgoE,GAAG/sE,GAAG+E,GAAG,CAAC,EAAE,SAASioE,GAAGxtE,EAAE,EAAE,CAAC,OAAOytE,GAAGztE,EAAE,CAAC,CAAC,CAAC,SAASytE,GAAGztE,EAAE,EAAEE,EAAE,IAAI,IAAII,EAAE,IAAI,IAAI,CAAC,GAAGN,GAAG,KAAK,OAAO,KAAK,GAAG,OAAO,MAAM,YAAYA,aAAa,KAAK,OAAOA,EAAE,MAAM,EAAE,GAAGM,EAAE,IAAIN,CAAC,EAAE,MAAM,IAAI,MAAM,wCAAwC,EAAE,GAAGE,EAAE,IAAIF,CAAC,EAAE,OAAOE,EAAE,IAAIF,CAAC,EAAE,IAAIO,EAAE,EAAEP,CAAC,EAAE,GAAGO,EAAE,SAASA,EAAE,QAAQ,KAAK,MAAM,IAAI,MAAM,mEAAmE,EAAE,GAAGA,EAAE,QAAQ,GAAGmtE,GAAG1tE,CAAC,EAAE,CAAC,IAAI,EAAE,MAAM,QAAQA,CAAC,EAAE,CAAC,EAAE,CAAC,EAAEM,EAAE,IAAIN,CAAC,EAAE,QAAQ,KAAKA,EAAE,CAAC,IAAIiC,EAAEjC,EAAE,GAAGkC,EAAEurE,GAAGxrE,EAAE,EAAE/B,EAAEI,CAAC,EAAE,EAAE,GAAG4B,CAAC,CAAC,OAAO5B,EAAE,OAAON,CAAC,EAAEA,EAAE,YAAY,EAAE,UAAUA,EAAE,WAAW,CAAC,KAAM,OAAM,IAAI,MAAM,yCAAyCA,GAAG,MAAO,QAAOE,EAAE,IAAIF,EAAEO,EAAE,KAAK,EAAEA,EAAE,KAAK,CAAC,SAASotE,GAAG3tE,EAAE,EAAE4tE,GAAG,CAAC,OAAOC,GAAG7tE,EAAE,CAAC,CAAC,CAAC,SAAS6tE,GAAG7tE,EAAE,EAAEE,EAAE,IAAI,IAAI,CAAC,IAAII,EAAEN,EAAE,GAAG,GAAGE,EAAE,IAAII,CAAC,EAAE,MAAM,IAAI,MAAM,wCAAwC,EAAE,IAAIC,EAAE,EAAEP,CAAC,EAAE,GAAGO,EAAE,SAASA,EAAE,QAAQ,KAAK,MAAM,IAAI,MAAM,mEAAmE,EAAE,GAAGA,EAAE,QAAQ,GAAGmtE,GAAGptE,CAAC,EAAE,CAAC,IAAI,EAAE,MAAM,QAAQA,CAAC,EAAE,CAAC,EAAE,CAAC,EAAEJ,EAAE,IAAII,CAAC,EAAE,QAAQ,KAAKA,EAAE,CAAC,IAAI2B,EAAEjC,EAAE,IAAImC,GAAGA,EAAE,EAAE,EAAED,EAAE2rE,GAAG5rE,EAAE,EAAE/B,CAAC,EAAE,EAAE,GAAGgC,CAAC,CAAC,OAAOhC,EAAE,OAAOI,CAAC,EAAE,CAAC,KAAM,OAAM,IAAI,MAAM,yCAAyCA,GAAG,MAAO,QAAOC,EAAE,KAAK,CAAC,SAASqtE,GAAG5tE,EAAE,CAAC,OAAOA,IAAI,KAAK,KAAK0tE,GAAG1tE,EAAE,EAAE,EAAE,CAAC,MAAM,KAAK,QAAQ,EAAE,EAAE,CAAC,MAAMA,EAAE,QAAQ,EAAE,CAAC,CAAC,eAAe8tE,GAAG9tE,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,IAAIutE,GAAGztE,EAAE,EAAEE,CAAC,EAAE,QAAQK,KAAK,MAAM,KAAKL,EAAE,KAAK,CAAC,EAAE,CAAC,IAAI6B,EAAE7B,EAAE,IAAIK,CAAC,EAAE,GAAGsmB,EAAE,UAAU9kB,CAAC,EAAE,CAAC,IAAIC,EAAE,MAAMD,EAAE7B,EAAE,IAAIK,EAAEyB,CAAC,CAAC,CAAC,CAAC,OAAOyrE,GAAGztE,EAAE,EAAEE,CAAC,CAAC,CAAC,SAASwtE,GAAG1tE,EAAE,CAAC,IAAI,EAAE,GAAG,GAAGya,EAAE,EAAE,IAAI,YAAY,EAAE,EAAEza,aAAa,gBAAgB,CAAC,GAAG,CAAC,cAAcE,CAAC,EAAE+F,GAAG,EAAE,EAAEjG,aAAaE,CAAC,CAAC,OAAOF,GAAG,MAAM,CAAC,YAAY,OAAOA,CAAC,IAAI,MAAM,QAAQA,CAAC,GAAG,OAAOA,GAAG,UAAU,EAAEA,aAAa4pB,KAAK,EAAE5pB,aAAa,UAAU,CAAC,EAAE,CAAC,SAAS+tE,GAAG/tE,EAAE,CAAC,OAAOA,GAAG,MAAMguE,GAAGhuE,CAAC,GAAG,MAAM,QAAQA,CAAC,GAAG,OAAOA,GAAG,UAAUA,aAAa4pB,IAAI/C,EAAE,aAAa7mB,CAAC,CAAC,CAAC,SAASguE,GAAGhuE,EAAE,CAAC,OAAOA,IAAI,MAAM,OAAOA,GAAG,UAAU,OAAOA,GAAG,UAAU,CAAC,SAASiuE,GAAGjuE,EAAE,CAAC,OAAOwtE,GAAGxtE,EAAEkuE,EAAE,CAAC,CAAC,SAASA,GAAGluE,EAAE,CAAC,OAAOA,aAAa4pB,GAAG,CAAC,MAAM5pB,EAAE,MAAM,EAAE,QAAQ,EAAE,EAAE0tE,GAAG1tE,CAAC,EAAE,CAAC,MAAM,KAAK,QAAQ,EAAE,EAAE,CAAC,MAAMA,EAAE,QAAQ,EAAE,CAAC,CAAC,IAAImuE,GAAG,KAAK,CAAC,YAAYrtE,EAAE,CAAC,GAAG,KAAK,SAASA,EAAE,KAAK,MAAM,EAAE,KAAK,IAAI,EAAEA,GAAG,KAAK,MAAM,IAAI,WAAW,iDAAiD,EAAE,GAAGA,EAAE,EAAE,MAAM,IAAI,WAAW,2CAA2C,EAAE,KAAK,KAAK,IAAI,MAAMA,CAAC,EAAE,KAAK,gBAAgB,EAAEA,CAAC,CAAC,KAAKA,EAAE,CAAC,KAAKA,EAAE,GAAGA,GAAG,KAAK,gBAAgB,OAAOA,EAAE,KAAK,eAAe,CAAC,IAAIA,EAAE,CAAC,GAAGA,EAAE,EAAE,MAAM,IAAI,WAAW,qCAAqC,EAAE,OAAO,KAAK,KAAKA,EAAE,KAAK,SAAS,CAAC,IAAIA,EAAEZ,EAAE,CAAC,GAAGY,EAAE,EAAE,MAAM,IAAI,WAAW,qCAAqC,EAAE,KAAK,KAAKA,EAAE,KAAK,UAAUZ,CAAC,CAAC,QAAQ,CAAC,IAAIY,EAAE,KAAK,IAAI,KAAK,MAAM,OAAOA,EAAE,IAAIA,EAAE,KAAK,gBAAgBA,GAAGA,CAAC,CAAC,QAAQ,CAAC,OAAO,KAAK,OAAO,IAAI,KAAK,QAAQ,CAAC,SAAS,CAAC,OAAO,KAAK,OAAO,IAAI,CAAC,CAAC,KAAKA,EAAE,CAAC,GAAG,KAAK,OAAO,EAAE,MAAM,IAAI,WAAW,sBAAsB,EAAE,KAAK,IAAI,KAAK,IAAIA,CAAC,EAAE,KAAK,IAAI,KAAK,KAAK,KAAK,IAAI,CAAC,CAAC,CAAC,QAAQA,EAAE,CAAC,QAAQZ,KAAKY,EAAE,KAAK,KAAKZ,CAAC,CAAC,CAAC,KAAK,CAAC,GAAG,KAAK,QAAQ,EAAE,MAAM,IAAI,WAAW,uBAAuB,EAAE,KAAK,IAAI,KAAK,KAAK,KAAK,IAAI,CAAC,EAAE,IAAIY,EAAE,KAAK,IAAI,KAAK,GAAG,EAAE,OAAO,KAAK,IAAI,KAAK,IAAI,MAAM,EAAEA,CAAC,CAAC,QAAQA,EAAE,CAAC,GAAG,KAAK,OAAO,EAAE,MAAM,IAAI,WAAW,sBAAsB,EAAE,KAAK,MAAM,KAAK,KAAK,KAAK,MAAM,CAAC,EAAE,KAAK,IAAI,KAAK,MAAMA,CAAC,CAAC,CAAC,OAAO,CAAC,GAAG,KAAK,QAAQ,EAAE,MAAM,IAAI,WAAW,uBAAuB,EAAE,IAAIA,EAAE,KAAK,IAAI,KAAK,KAAK,EAAE,OAAO,KAAK,IAAI,KAAK,MAAM,MAAM,EAAE,KAAK,MAAM,KAAK,KAAK,KAAK,MAAM,CAAC,EAAEA,CAAC,CAAC,cAAcA,EAAE,CAAC,GAAG,KAAK,QAAQ,EAAE,MAAM,IAAI,WAAW,uBAAuB,EAAE,IAAIZ,EAAE,KAAK,KAAK,KAAK,MAAMY,CAAC,EAAE,EAAE,KAAK,IAAIZ,CAAC,EAAE,OAAO,KAAK,IAAIA,EAAE,KAAK,IAAI,CAAC,EAAE,CAAC,CAAC,EAAMkuE,GAAG,cAAcD,EAAE,CAAC,aAAa,CAAC,MAAMC,GAAG,gBAAgB,CAAC,CAAC,QAAQ,CAAC,MAAM,EAAE,CAAC,KAAKttE,EAAE,CAAC,MAAM,OAAO,GAAG,KAAK,OAAO,EAAE,MAAM,KAAKA,CAAC,CAAC,CAAC,QAAQA,EAAE,CAAC,MAAM,OAAO,GAAG,KAAK,OAAO,EAAE,MAAM,QAAQA,CAAC,CAAC,CAAC,QAAQ,CAAC,IAAIA,EAAE,KAAK,SAAS,EAAEZ,EAAE,IAAI,MAAMY,CAAC,EAAE,EAAE,KAAK,OAAO,EAAE,QAAQP,EAAE,EAAEA,EAAE,EAAEA,IAAIL,EAAEK,GAAG,KAAK,IAAI,KAAK,KAAK,KAAK,MAAMA,CAAC,CAAC,EAAE,KAAK,KAAKL,EAAE,KAAK,SAASY,EAAE,KAAK,gBAAgB,EAAE,KAAK,SAAS,KAAK,MAAM,EAAE,KAAK,IAAI,CAAC,CAAC,EAAEstE,GAAG,iBAAiB,GAAG,SAASC,GAAGruE,EAAE,CAAC,OAAO,IAAIsuE,GAAGtuE,CAAC,CAAC,CAAC,SAASuuE,GAAGvuE,EAAE,CAAC,OAAO,IAAIwuE,GAAGxuE,CAAC,CAAC,CAAC,SAASyuE,GAAGzuE,EAAE,EAAE,CAAC,OAAO,IAAI0uE,GAAG1uE,EAAE,CAAC,CAAC,CAAC,SAAS2uE,GAAG3uE,EAAE,EAAE4uE,GAAG,KAAK,CAAC,OAAO,IAAIC,GAAG7uE,EAAE,CAAC,CAAC,CAAC,IAAI8uE,GAAG,KAAK,CAAC,MAAM,SAAS,CAAC,IAAIhuE,EAAE,CAAC,EAAEZ,EAAE,MAAM,KAAK,KAAK,EAAE,KAAK,CAACA,EAAE,MAAMY,EAAE,KAAKZ,EAAE,KAAK,EAAEA,EAAE,MAAM,KAAK,KAAK,EAAE,OAAOY,CAAC,CAAC,MAAM,gBAAgB,CAAC,IAAIA,EAAE,KAAK,SAAS,GAAG,EAAEZ,EAAE,CAAC,EAAE,EAAE,MAAMY,EAAE,KAAK,EAAE,KAAK,CAAC,EAAE,MAAMZ,EAAE,KAAK,EAAE,KAAK,EAAE,EAAE,MAAMY,EAAE,KAAK,EAAE,OAAOZ,CAAC,CAAC,MAAM,cAAc,CAAC,IAAIY,EAAE,MAAM,KAAK,KAAK,EAAE,KAAK,CAACA,EAAE,MAAMA,EAAE,MAAM,KAAK,KAAK,CAAC,CAAC,MAAM,aAAaA,EAAE,CAAC,IAAIZ,EAAE,MAAM,KAAK,KAAK,EAAE,EAAEY,EAAEZ,EAAE,KAAK,EAAE,KAAK,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,KAAK,KAAK,EAAE,EAAEY,EAAEZ,EAAE,KAAK,CAAC,CAAC,aAAaY,EAAE,CAAC,OAAO,IAAIiuE,GAAG,KAAKjuE,CAAC,CAAC,CAAC,OAAOA,EAAE,CAAC,OAAO,IAAIkuE,GAAG,KAAKluE,CAAC,CAAC,CAAC,IAAIA,EAAE,CAAC,OAAO,IAAImuE,GAAG,KAAKnuE,CAAC,CAAC,CAAC,SAASA,EAAE,CAAC,OAAO,IAAIouE,GAAG,KAAKpuE,CAAC,CAAC,CAAC,eAAeA,EAAE,CAAC,OAAO,IAAIouE,GAAG,KAAKpuE,CAAC,EAAE,OAAO,CAAC,CAAC,QAAQA,EAAE,CAAC,OAAO,IAAIquE,GAAG,KAAKruE,CAAC,CAAC,CAAC,MAAM,aAAaA,EAAE,CAAC,OAAO,KAAK,IAAIA,CAAC,EAAE,aAAa,CAAC,CAAC,MAAM,cAAcA,EAAE,CAAC,OAAO,KAAK,eAAeA,CAAC,EAAE,aAAaZ,GAAGA,IAAI,EAAE,CAAC,CAAC,cAAcY,EAAEZ,EAAE,GAAG,CAAC,OAAO,IAAIkvE,GAAG,KAAKtuE,EAAEZ,CAAC,CAAC,CAAC,iBAAiBY,EAAEZ,EAAE,GAAG,EAAE0tE,GAAG,CAAC,OAAO,KAAK,cAAc9sE,EAAEZ,CAAC,EAAE,IAAI6B,GAAG4rE,GAAG5rE,EAAE,CAAC,CAAC,CAAC,CAAC,YAAYjB,EAAEZ,EAAE,CAAC,OAAO,IAAIwuE,GAAGL,GAAG,CAAC,KAAKvtE,CAAC,CAAC,EAAEZ,CAAC,CAAC,CAAC,KAAKY,EAAE,CAAC,OAAOA,EAAE,GAAGA,GAAG,KAAK,KAAK,IAAIuuE,GAAG,KAAKvuE,CAAC,CAAC,CAAC,KAAKA,EAAE,CAAC,OAAOA,EAAE,GAAGA,GAAG,KAAK,KAAK,IAAIwuE,GAAG,KAAKxuE,CAAC,CAAC,CAAC,SAASA,EAAE,CAAC,OAAO,IAAIyuE,GAAG,KAAKzuE,CAAC,CAAC,CAAC,QAAQA,EAAEZ,EAAE,CAAC,OAAO,IAAIsvE,GAAG,KAAK1uE,EAAEZ,CAAC,CAAC,CAAC,QAAQ,CAAC,OAAO,IAAIuvE,GAAG,IAAI,CAAC,CAAC,EAAEnB,GAAG,cAAcQ,EAAE,CAAC,YAAYhuE,EAAE,CAAC,MAAM,EAAE,KAAK,MAAMA,EAAE,KAAK,KAAK,CAAC,CAAC,SAAS,CAAC,MAAM,YAAY,KAAK,MAAM,cAAc,CAAC,MAAM,MAAM,CAAC,GAAG,KAAK,MAAM,KAAK,MAAM,OAAO,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,IAAIA,EAAE,KAAK,MAAM,KAAK,MAAM,OAAO,KAAK,OAAO,CAAC,MAAMmtE,GAAGntE,CAAC,EAAE,KAAK,EAAE,CAAC,CAAC,EAAE0tE,GAAG,cAAcM,EAAE,CAAC,YAAYhuE,EAAE,CAAC,MAAM,EAAE,KAAK,OAAOA,CAAC,CAAC,SAAS,CAAC,MAAM,eAAe,CAAC,MAAM,MAAM,CAAC,GAAG,CAAC,OAAO,KAAK,OAAO,CAAC,OAAOA,EAAN,CAAS,MAAMA,EAAE,QAAQ,mDAAmDA,EAAE,UAAUA,CAAC,CAAC,CAAC,EAAE2uE,GAAG,cAAcX,EAAE,CAAC,YAAYhuE,EAAE,CAAC,MAAM,EAAE,KAAK,SAASA,EAAE,KAAK,SAAS,QAAQ,QAAQ,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,aAAa,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,KAAK,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,CAAC,MAAM,YAAY,CAAC,OAAO,KAAK,SAAS,KAAK,CAAC,CAAC,EAAEwuE,GAAG,cAAcR,EAAE,CAAC,YAAYhuE,EAAEZ,EAAE,CAAC,MAAM,EAAE,KAAK,SAASY,EAAE,KAAK,SAASZ,EAAE,KAAK,MAAM,EAAE,KAAK,SAAS,QAAQ,QAAQ,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,WAAW,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,KAAK,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,CAAC,MAAM,YAAY,CAAC,KAAK,KAAK,QAAQ,KAAK,UAAU,CAAC,IAAIY,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,GAAGA,EAAE,KAAK,OAAOA,EAAE2yB,GAAG3yB,EAAE,KAAK,CAAC,CAAC,OAAO,KAAK,SAAS,KAAK,CAAC,CAAC,EAAEuuE,GAAG,cAAcP,EAAE,CAAC,YAAYhuE,EAAEZ,EAAE,CAAC,MAAM,EAAE,KAAK,SAASY,EAAE,KAAK,SAASZ,EAAE,KAAK,MAAM,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,WAAW,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,KAAK,SAAS,KAAK,CAAC,CAAC,EAAEkvE,GAAG,cAAcN,EAAE,CAAC,YAAYhuE,EAAEZ,EAAE,EAAE,GAAG,CAAC,MAAM,EAAE,KAAK,SAASY,EAAE,KAAK,UAAUZ,EAAE,KAAK,qBAAqB,EAAE,KAAK,SAAS,QAAQ,QAAQ,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,oBAAoB,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,KAAK,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,CAAC,MAAM,YAAY,CAAC,IAAIY,EAAE,CAAC,EAAE,KAAKA,EAAE,OAAO,KAAK,WAAW,CAAC,IAAIZ,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,GAAGA,EAAE,KAAK,OAAO,KAAK,sBAAsBY,EAAE,OAAO,EAAE,CAAC,MAAMA,EAAE,KAAK,EAAE,EAAE,CAAC,MAAM,KAAK,KAAK,EAAE,EAAEA,EAAE,KAAKZ,EAAE,KAAK,CAAC,CAAC,MAAM,CAAC,MAAMY,EAAE,KAAK,EAAE,CAAC,CAAC,EAAEkuE,GAAG,cAAcF,EAAE,CAAC,YAAYhuE,EAAEZ,EAAE,CAAC,MAAM,EAAE,KAAK,SAASY,EAAE,KAAK,UAAUZ,EAAE,KAAK,SAAS,QAAQ,QAAQ,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,aAAa,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,KAAK,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,CAAC,MAAM,YAAY,CAAC,OAAO,CAAC,IAAIY,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,GAAGA,EAAE,MAAM,KAAK,UAAUA,EAAE,KAAK,EAAE,OAAOA,EAAE2yB,GAAG3yB,EAAE,KAAK,CAAC,CAAC,CAAC,EAAEmuE,GAAG,cAAcH,EAAE,CAAC,YAAYhuE,EAAEZ,EAAE,CAAC,MAAM,EAAE,KAAK,SAASY,EAAE,KAAK,UAAUZ,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,UAAU,CAAC,MAAM,MAAM,CAAC,IAAIY,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,GAAGA,EAAE,KAAK,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,IAAIZ,EAAE6pB,GAAG,sBAAsBjpB,EAAE,KAAK,EAAE,EAAE,KAAK,UAAUA,EAAE,KAAK,EAAEP,EAAEwpB,GAAG,sBAAsB,CAAC,EAAE,QAAQhoB,KAAK7B,EAAE6pB,GAAG,eAAehoB,EAAExB,CAAC,GAAGwB,EAAE,QAAQ,EAAE,MAAM,CAAC,MAAM,EAAE,KAAK,EAAE,CAAC,CAAC,EAAEgtE,GAAG,cAAcD,EAAE,CAAC,YAAYhuE,EAAEZ,EAAE,CAAC,MAAM,EAAE,KAAK,SAASY,EAAE,KAAK,QAAQZ,EAAE,KAAK,MAAM,EAAE,KAAK,SAAS,QAAQ,QAAQ,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,mBAAmB,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,KAAK,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,CAAC,MAAM,YAAY,CAAC,OAAO,GAAG,CAAC,OAAO,MAAM,KAAK,SAAS,KAAK,CAAC,OAAOY,EAAN,CAAS,GAAG,CAAC,KAAK,QAAQA,CAAC,EAAE,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,EAAEouE,GAAG,cAAcJ,EAAE,CAAC,YAAYhuE,EAAEZ,EAAE,CAAC,MAAM,EAAE,KAAK,SAASY,EAAE,KAAK,UAAUZ,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,eAAe,CAAC,MAAM,MAAM,CAAC,IAAIY,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,GAAGA,EAAE,KAAK,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,IAAIZ,EAAE6pB,GAAG,sBAAsBjpB,EAAE,KAAK,EAAE,EAAE,MAAM,KAAK,UAAUA,EAAE,KAAK,EAAEP,EAAEwpB,GAAG,sBAAsB,CAAC,EAAE,QAAQhoB,KAAK7B,EAAE6pB,GAAG,eAAehoB,EAAExB,CAAC,GAAGwB,EAAE,QAAQ,EAAE,MAAM,CAAC,MAAM,EAAE,KAAK,EAAE,CAAC,CAAC,EAAE2tE,GAAG,cAAcZ,EAAE,CAAC,aAAa,CAAC,MAAM,EAAE,KAAK,YAAY,IAAIV,GAAG,KAAK,SAAS,QAAQ,QAAQ,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,KAAK,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,CAAC,MAAM,YAAY,CAAC,KAAK,KAAK,YAAY,OAAO,IAAI,GAAG,GAAG,CAAC,MAAM,KAAK,KAAK,EAAE,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,MAAM,CAAC,MAAM,KAAK,YAAY,MAAM,EAAE,KAAK,EAAE,CAAC,CAAC,EAAEe,GAAG,cAAcO,EAAE,CAAC,YAAY5uE,EAAEZ,EAAE,CAAC,MAAM,EAAE,KAAK,SAASY,EAAE,KAAK,UAAUZ,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,cAAc,CAAC,MAAM,MAAM,CAAC,IAAIY,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,GAAGA,EAAE,KAAK,MAAM,GAAG,IAAIZ,EAAE6pB,GAAG,sBAAsBjpB,EAAE,KAAK,EAAE,EAAE,KAAK,UAAUA,EAAE,KAAK,EAAEP,EAAEwpB,GAAG,sBAAsB,CAAC,EAAE,KAAK,YAAY,QAAQ,CAAC,EAAE,QAAQhoB,KAAK7B,EAAE6pB,GAAG,eAAehoB,EAAExB,CAAC,GAAGwB,EAAE,QAAQ,EAAE,MAAM,EAAE,CAAC,EAAE2sE,GAAG,cAAcI,EAAE,CAAC,YAAYhuE,EAAEZ,EAAE,CAAC,MAAM,EAAE,KAAK,iBAAiBA,EAAE,KAAK,SAAS,KAAK,KAAK,SAAS,KAAK,KAAK,cAAcY,CAAC,CAAC,SAAS,CAAC,MAAM,wDAAwD,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,cAAc,KAAK,QAAQ,EAAE,KAAK,QAAQ,CAAC,MAAM,cAAcA,EAAE,CAAC,GAAG,MAAMA,EAAE,KAAK,UAAU,KAAK,CAAC,IAAI,EAAE,MAAM,KAAK,cAAc,KAAK,EAAE,GAAG,EAAE,KAAK,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,KAAK,SAAS,EAAE,MAAM,KAAK,kBAAkB,OAAO,KAAK,SAAS,KAAK,SAAS,aAAa,KAAK,gBAAgB,EAAE,CAAC,IAAIZ,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,OAAOA,EAAE,MAAM,KAAK,SAAS,KAAK,KAAK,cAAcY,CAAC,GAAGZ,CAAC,CAAC,EAAE0uE,IAAI,SAAS5uE,EAAE,CAACA,EAAEA,EAAE,KAAK,GAAG,OAAOA,EAAEA,EAAE,SAAS,GAAG,WAAWA,EAAEA,EAAE,QAAQ,GAAG,SAAS,GAAG4uE,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,cAAcC,EAAE,CAAC,YAAYhuE,EAAEZ,EAAE0uE,GAAG,KAAK,CAAC,MAAM,EAAE,KAAK,UAAU9tE,EAAE,KAAK,aAAaZ,EAAE,KAAK,MAAM,EAAE,KAAK,eAAe,IAAI,CAAC,SAAS,CAAC,MAAM,kDAAkD,CAAC,MAAM,UAAUY,EAAE,CAAC,MAAMA,EAAE,IAAIZ,EAAE,EAAE,EAAE,EAAE,SAASK,EAAEyB,EAAE,CAAC,OAAOA,aAAa8sE,GAAG,CAAC,MAAM9sE,EAAE,KAAK,EAAE,KAAKE,IAAIhC,IAAIgC,EAAE,MAAM,IAAIA,EAAE,MAAM,EAAE,QAAQ,EAAE,EAAE,CAAC,MAAM,KAAK,QAAQ,EAAE,CAAC,CAAC,IAAIH,EAAE,MAAM+rE,GAAG,KAAK,UAAUvtE,CAAC,EAAE,GAAGL,IAAI,EAAE,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,GAAG,EAAE,EAAE,OAAO,KAAK,aAAa,CAAC,KAAK0uE,GAAG,KAAK,MAAM,IAAI,MAAM,qEAAqE,KAAK,QAAQ,EAAE,KAAKA,GAAG,SAAS,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,KAAKA,GAAG,QAAQ,QAAQ,CAAC,OAAO,KAAK,QAAQ,CAAC,MAAM7sE,EAAE,KAAK,EAAE,CAAC,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,eAAe,KAAK,UAAU,KAAK,cAAc,EAAE,KAAK,cAAc,CAAC,EAAEwtE,GAAG,cAAcT,EAAE,CAAC,YAAYhuE,EAAEZ,EAAE,CAAC,MAAM,EAAE,KAAK,SAASY,EAAE,KAAK,WAAWZ,EAAE,KAAK,OAAO,IAAIiuE,GAAGjuE,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,eAAe,CAAC,QAAQ,CAAC,KAAK,CAAC,KAAK,OAAO,OAAO,GAAG,CAAC,IAAIY,EAAE,KAAK,SAAS,KAAK,EAAE,KAAK,OAAO,KAAKA,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,OAAO,KAAK,OAAO,EAAE,KAAK,OAAO,MAAM,CAAC,CAAC,EAAE0uE,GAAG,cAAcD,EAAE,CAAC,YAAYzuE,EAAEZ,EAAE,EAAE,CAAC,MAAMY,EAAEZ,CAAC,EAAE,KAAK,SAASY,EAAE,KAAK,WAAWZ,EAAE,KAAK,kBAAkB,GAAG,KAAK,OAAOqtE,GAAG,KAAK,GAAG1mD,EAAE,IAAI,EAAE,SAAS,CAAC,EAAE,KAAK,SAAS,QAAQ,QAAQ,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,KAAK,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,CAAC,UAAU/lB,EAAE,CAAC,OAAO,KAAK,MAAM,KAAK,OAAO,EAAEA,CAAC,CAAC,CAAC,aAAa,CAAC,OAAO,KAAK,UAAU,KAAK,OAAO,OAAO,CAAC,CAAC,CAAC,MAAM,YAAY,CAAC,IAAI,KAAK,mBAAmB,KAAK,OAAO,EAAE,CAAC,KAAK,OAAO,QAAQ,GAAG,CAAC,IAAIA,EAAE,KAAK,YAAY,EAAEZ,EAAE,MAAM,KAAK,OAAO,cAAcY,CAAC,EAAE,GAAGZ,EAAE,KAAK,KAAK,kBAAkB,OAAQ,QAAO,KAAK,OAAO,EAAEA,CAAC,CAAC,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,EAAMwsE,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,KAAK,IAAI,CAAC,MAAM5rE,EAAEZ,EAAE,GAAG,CAAC,IAAI,EAAE,KAAK2mB,EAAE,OAAO/lB,EAAE,EAAE,IAAI;AAAA,QACxtsDA,GAAG,EAAE,IAAIP,EAAE,OAAO,KAAK,OAAO,EAAE,GAAG,KAAK,MAAM,KAAKA,EAAE,KAAK,KAAKL,EAAEK,EAAE,KAAK,KAAK,KAAK,KAAKO,CAAC,EAAEP,EAAE,KAAK,MAAM,KAAK,KAAKO,CAAC,EAAE6uE,GAAG,UAAU,MAAM,EAAE,SAAS,GAAG,iBAAiB7uE,EAAEZ,EAAE0vE,EAAE,EAAErvE,CAAC,CAAC,CAAC,YAAYO,EAAE,CAAC,IAAIZ,EAAE,KAAK,EAAE,OAAO,KAAK,OAAO,EAAE,GAAGY,EAAE,OAAO,EAAE,EAAE,EAAE,EAAE,EAAE,KAAK,MAAM,MAAMA,EAAE,MAAM,KAAK,EAAE,KAAK,KAAKA,EAAE,KAAK,EAAE,KAAK6uE,GAAG,UAAU,MAAMzvE,EAAE,SAAS,GAAG,YAAY,MAAMY,EAAE,SAAS,CAAC,EAAE,CAAC,CAAC,CAAC,OAAOA,EAAE,CAAC,IAAIZ,EAAE,KAAK,EAAE,OAAO,KAAK,OAAO,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,KAAKyvE,GAAG,UAAU,MAAMzvE,EAAE,SAAS,GAAG,OAAOK,GAAGizB,EAAE,IAAI1yB,EAAEP,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,MAAM,aAAaO,EAAE,CAAC,OAAO,MAAM,KAAK,SAAS,GAAG,aAAaA,CAAC,CAAC,CAAC,IAAIA,EAAE,CAAC,IAAIZ,EAAE,KAAK,OAAOyvE,GAAG,UAAU,MAAMzvE,EAAE,SAAS,GAAG,IAAI,GAAGszB,EAAE,IAAI1yB,EAAE,CAAC,CAAC,CAAC,EAAE,KAAK,IAAI,CAAC,CAAC,SAASA,EAAE,CAAC,IAAIZ,EAAE,KAAK,OAAOyvE,GAAG,UAAU,MAAMzvE,EAAE,SAAS,GAAG,SAASY,CAAC,EAAE,KAAK,IAAI,CAAC,CAAC,SAASA,EAAE,CAAC,GAAGA,GAAG,KAAK,MAAM,IAAI,WAAW,2DAA2D,EAAE,IAAIZ,EAAE,KAAK,OAAOyvE,GAAG,UAAU,MAAMzvE,EAAE,SAAS,GAAG,SAASY,CAAC,EAAE,KAAK,IAAI,CAAC,CAAC,OAAOA,EAAE,CAAC,IAAIZ,EAAE,KAAK,EAAE,OAAO,KAAK,MAAM,MAAMY,EAAE,EAAE,EAAE,KAAK,KAAKA,EAAEA,IAAI,EAAE,EAAE,EAAE,KAAK,MAAM,OAAOA,IAAI,QAAQA,EAAE,GAAG,EAAE,EAAE,EAAE,EAAE,KAAK6uE,GAAG,SAAS,CAAC,IAAIpvE,EAAEguE,GAAG,UAAU,CAAC,MAAM,MAAMruE,EAAE,SAAS,EAAE,KAAK,EAAE,EAAE,EAAE,OAAOuuE,GAAGluE,EAAE,KAAKO,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,KAAKA,EAAE,CAAC,IAAIZ,EAAE,KAAK,EAAE,OAAO,KAAK,MAAM,MAAMY,GAAG,GAAG,KAAK,MAAMA,EAAE,EAAE,KAAK,KAAKA,EAAE,KAAK,MAAM,OAAO,KAAK,KAAKA,GAAGA,IAAI,QAAQA,EAAE,GAAG,EAAE,EAAE,EAAE,KAAK6uE,GAAG,UAAU,MAAMzvE,EAAE,SAAS,GAAG,KAAKY,CAAC,EAAE,CAAC,CAAC,CAAC,QAAQA,EAAEZ,EAAE,EAAE,GAAG,CAAC,GAAGY,GAAG,MAAMA,EAAE,EAAE,MAAM,KAAK,MAAM,KAAK,IAAI,WAAW,0DAA0D,EAAE,IAAI,WAAW,mNAAmN,KAAK,gBAAgB,EAAE,IAAIP,EAAE,KAAKwB,EAAEurE,GAAG,KAAKptE,GAAG2mB,EAAE,IAAI,EAAE,SAAS,CAAC,EAAE,OAAO8oD,GAAG,SAAS,CAAC,IAAI3tE,EAAED,EAAE,MAAM,EAAE,OAAO,IAAIC,GAAGD,EAAE,MAAM,IAAI,MAAMxB,EAAE,SAAS,GAAG,QAAQO,EAAEkB,EAAE,SAAS,CAAC,CAAC,EAAE,KAAK,IAAI,CAAC,CAAC,KAAKlB,EAAE,CAAC,IAAIZ,EAAE,KAAK,EAAE,OAAO,KAAK,MAAM,MAAM,KAAK,KAAKY,EAAE,EAAEA,EAAE,KAAK,MAAM,MAAM,KAAK,MAAMA,EAAE,EAAE,KAAK,KAAK,EAAE,KAAK6uE,GAAG,UAAU,MAAMzvE,EAAE,SAAS,GAAG,KAAKY,CAAC,EAAE,CAAC,CAAC,CAAC,MAAM,SAAS,CAAC,GAAG,KAAK,OAAO,EAAE,EAAE,MAAM,IAAI,MAAM,gDAAgD,EAAE,OAAO,MAAM,KAAK,SAAS,GAAG,QAAQ,CAAC,CAAC,MAAM,gBAAgB,CAAC,GAAG,KAAK,OAAO,EAAE,EAAE,MAAM,IAAI,MAAM,gDAAgD,EAAE,OAAO,MAAM,KAAK,SAAS,GAAG,eAAe,CAAC,CAAC,EAAE4rE,GAAG,gBAAgB,IAAI,SAASiD,GAAG3vE,EAAE,EAAE,KAAK,CAAC,OAAO,IAAI,cAAc0sE,EAAE,CAAC,aAAa,CAAC,MAAM,GAAG,SAAS,EAAE,KAAK,KAAK,CAAC,CAAC,MAAM,UAAU,CAAC,OAAO1sE,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS8sE,GAAG9sE,EAAE,CAAC,OAAO2vE,GAAG,SAAStB,GAAGruE,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,SAASqtE,GAAGrtE,EAAE,CAAC,GAAG,CAAC0tE,GAAG1tE,CAAC,EAAE,MAAM,IAAI,MAAM,mDAAmD,EAAE,IAAI,EAAE,GAAG,MAAM,QAAQA,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,EAAE,GAAG,KAAKF,EAAEE,GAAG,KAAK,KAAK,IAAI,EAAEF,EAAEE,GAAG,IAAI,UAAUF,aAAa,OAAO,QAAQE,KAAKF,EAAE,EAAE,GAAG,KAAKA,EAAEE,GAAG,KAAK,KAAK,IAAI,EAAEF,EAAEE,GAAG,IAAI,EAAE,OAAOyvE,GAAG,SAAS,CAAC,IAAIzvE,EAAE,MAAM4tE,GAAG9tE,EAAEM,GAAG,CAAC,GAAGA,aAAaosE,GAAG,MAAM,CAAC,MAAMpsE,EAAE,SAAS,EAAE,QAAQ,EAAE,EAAE,GAAGotE,GAAGptE,CAAC,EAAE,MAAM,CAAC,MAAM,KAAK,QAAQ,EAAE,EAAE,MAAM,IAAI,MAAM,2EAA2E,CAAC,CAAC,EAAE,OAAOquE,GAAGzuE,EAAE0uE,GAAG,QAAQ,CAAC,EAAE,CAAC,CAAC,CAAC,SAASgB,GAAG5vE,EAAE,CAAC,GAAGA,IAAI,KAAK,OAAO,KAAK,IAAI,EAAEA,EAAE,GAAG,OAAO+tE,GAAG,CAAC,EAAE,CAAC,MAAM8B,GAAG7vE,CAAC,EAAE,QAAQ,EAAE,EAAE,CAAC,MAAM,KAAK,QAAQ,EAAE,CAAC,CAAC,SAAS6vE,GAAG7vE,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,sCAAsC,EAAE,OAAOA,EAAE,aAAa4pB,GAAG6lB,GAAGzvC,CAAC,EAAEssB,GAAGtsB,CAAC,CAAC,CAAC,IAAI4sE,GAAG,cAAcF,EAAE,CAAC,YAAY5rE,EAAE,CAAC,MAAM,EAAE,KAAK,MAAMA,CAAC,CAAC,MAAM,UAAU,CAAC,OAAO,MAAM,KAAK,MAAM,SAAS,GAAG,WAAW,EAAE,MAAM;AAAA,CACr1G,EAAE,IAAIP,IAAIA,EAAE,SAAS,IAAI,IAAIA,EAAEA,EAAE,MAAM,EAAE,EAAE,GAAGA,EAAE,CAAC,CAAC,EAAMuvE,GAAG,IAAIC,GAAG,OAAO,KAAK,EAAEC,GAAG,OAAO,OAAO,EAAEC,GAAG,OAAO,OAAO,EAAEC,GAAG,OAAO,iBAAiB,EAAEC,GAAG,OAAO,cAAc,EAAE1D,GAAG,cAAcC,EAAE,CAAC,YAAY5rE,EAAEZ,EAAE,CAAC,MAAM,EAAE,KAAK,MAAMY,EAAE,KAAK,UAAU,GAAG,KAAK,gBAAgB,KAAK,KAAK,qBAAqB,GAAG,KAAK,cAAc,KAAK,KAAK,sBAAsB,GAAG,KAAK,UAAU,IAAI,KAAK,gBAAgB,GAAG,KAAK,KAAK,IAAI8rE,GAAG9rE,CAAC,EAAEZ,IAAIA,EAAE,CAAC,GAAG,KAAK,UAAUA,EAAE,YAAY,GAAG,KAAK,gBAAgBA,EAAE,YAAY,KAAK,cAAcA,EAAE,cAAc,KAAK,sBAAsBA,EAAE,sBAAsBA,EAAE,iBAAiB2mB,EAAE,OAAO3mB,EAAE,WAAW,KAAK,IAAI,gEAAgE,EAAE,KAAK,gBAAgB,GAAG,KAAK,UAAU,KAAK,KAAK,UAAUA,EAAE,UAAUA,EAAE,UAAU,GAAG,CAAC,MAAM,aAAa,CAAC,OAAO,KAAK,sBAAsB,MAAM,KAAK,eAAe,EAAE,KAAK,sBAAsB,OAAO,KAAK,KAAK,aAAa,EAAE,KAAK,eAAe,CAAC,MAAM,gBAAgB,CAAC,IAAIY,EAAE,MAAM,KAAK,oBAAoB,EAAE,GAAG,CAAC,KAAK,iBAAiB,CAACA,EAAE,MAAM,IAAI,MAAM,2DAA2D,EAAE,KAAK,iBAAiBA,GAAG+lB,EAAE,OAAO/lB,EAAE,SAAS,KAAK,gBAAgB,OAAO,IAAI,uCAAuC,KAAK,gBAAgB,OAAO,SAAS,EAAE,kEAAkEA,EAAE,OAAO,SAAS,EAAE,IAAI,EAAE,KAAK,kBAAkB,KAAK,gBAAgBA,GAAG,IAAIZ,EAAE,KAAK,gBAAgB,OAAO,CAACK,EAAEwB,KAAKxB,EAAEwB,GAAGxB,EAAEwB,GAAG,GAAG,EAAExB,GAAG,CAAC,CAAC,EAAE,EAAE,OAAO,KAAKL,CAAC,EAAE,OAAOK,GAAGL,EAAEK,GAAG,CAAC,EAAE,GAAGsmB,EAAE,OAAO,EAAE,SAAS,EAAE,IAAI,iCAAiC,EAAE,SAAS,CAAC,EAAE,KAAK,eAAe,QAAQtmB,KAAK,OAAO,KAAK,KAAK,aAAa,EAAE,GAAG,KAAK,gBAAgB,QAAQA,CAAC,IAAI,GAAG,MAAM,IAAI,MAAM,YAAYA,EAAE,uEAAuE,KAAK,gBAAgB,SAAS,EAAE,IAAI,EAAE,KAAK,qBAAqB,EAAE,CAAC,MAAM,qBAAqB,CAAC,GAAG,KAAK,UAAU,CAAC,IAAI,EAAE,MAAM,MAAM,KAAK,KAAK,SAAS,GAAG,KAAK,EAAE,GAAG,EAAE,KAAK,MAAM,IAAI,MAAM,oCAAoC,EAAE,IAAID,EAAE,EAAE,MAAM,OAAO,KAAK,SAASA,EAAE,EAAE,CAAC,KAAM,QAAO,IAAI,CAAC,MAAM,UAAU,CAAC,KAAK,sBAAsB,MAAM,KAAK,eAAe,EAAE,IAAIQ,EAAE,MAAM,KAAK,KAAK,SAAS,EAAE,OAAO,KAAK,YAAYA,EAAEA,EAAE,KAAK,CAAC,GAAGA,EAAE,IAAIZ,GAAG,KAAK,gBAAgBA,CAAC,CAAC,CAAC,CAAC,gBAAgBY,EAAE,CAAC,IAAIZ,EAAE,KAAK,SAASY,CAAC,EAAE,EAAE,CAAC,EAAEP,EAAE,CAAC,EAAE,QAAQwB,EAAE,EAAEA,EAAE,KAAK,gBAAgB,OAAOA,IAAI,CAAC,IAAIC,EAAE,KAAK,gBAAgBD,GAAGE,EAAE,KAAK,cAAc,KAAK,cAAcD,GAAG,KAAK,GAAG,EAAE,KAAK,uBAAuB,CAACC,GAAG,CAAC,IAAIC,EAAEhC,EAAE6B,GAAG,EAAE,KAAK,GAAGG,IAAI,GAAG,GAAGD,GAAGA,EAAE,UAAU,OAAO,EAAEA,EAAE,YAAY,CAAC,GAAGA,IAAIA,EAAE,UAAUA,EAAE,SAAS,MAAM,IAAI,MAAM,mBAAmBD,4BAA4BlB,GAAG,EAAE,EAAE,MAAM,KAAK,CAAC,IAAI8B,EAAE,OAAOV,CAAC,EAAE,GAAG,MAAMU,CAAC,EAAEX,GAAGA,EAAE,QAAQ,OAAO,EAAE,KAAK,WAAWC,CAAC,EAAE,EAAEA,UAAU,CAACD,GAAG,CAACA,EAAE,MAAM,EAAEW,MAAO,QAAOX,EAAE,MAAM,CAAC,IAAI,UAAU,EAAEW,EAAE,MAAM,IAAI,QAAQ,EAAE,KAAK,MAAMA,CAAC,EAAE,MAAM,IAAI,OAAO,EAAE,KAAK,WAAWV,CAAC,EAAE,MAAM,QAAQ,EAAEU,CAAC,CAAC,CAACX,GAAGA,EAAE,QAAQ1B,EAAEyB,GAAG,EAAE,EAAEA,GAAG,CAAC,CAAC,CAAC,OAAO,OAAO,KAAKzB,CAAC,EAAE,SAAS,EAAE,EAAE,CAAC,GAAG,EAAE,GAAGA,CAAC,CAAC,CAAC,WAAWO,EAAE,CAAC,OAAOA,IAAI,KAAKA,EAAE,YAAY,IAAI,OAAO,EAAE,CAAC,CAAC,SAASA,EAAEZ,EAAE,GAAG,CAAC,IAAI,EAAE,CAAC,EAAEK,EAAE,EAAEwB,EAAEjB,EAAE,OAAOkB,EAAE+tE,GAAG,QAAQ9tE,EAAE,EAAEA,EAAEF,EAAEE,IAAI,OAAOD,EAAE,CAAC,KAAK+tE,GAAG,OAAOjvE,EAAE,OAAOmB,CAAC,EAAE,CAAC,KAAK6tE,GAAGvvE,EAAE0B,EAAE,EAAED,EAAEiuE,GAAG,MAAM,KAAK,KAAK,UAAU,GAAG1vE,EAAE0B,EAAE,EAAE,KAAK,YAAY,KAAK,KAAK,gBAAgB,MAAM,EAAE,KAAK,EAAE,EAAED,EAAE+tE,GAAG,MAAM,QAAQ/tE,EAAEguE,GAAGzvE,EAAE0B,EAAE,KAAK,CAAC,MAAM,KAAK+tE,GAAG,OAAOlvE,EAAE,OAAOmB,CAAC,EAAE,CAAC,KAAK,KAAK,UAAU,EAAE,KAAKnB,EAAE,UAAUP,EAAE0B,CAAC,CAAC,EAAED,EAAE+tE,GAAGxvE,EAAE0B,EAAE,EAAE,MAAM,QAAQ,CAAC,MAAM,KAAKguE,GAAG,OAAOnvE,EAAE,OAAOmB,CAAC,EAAE,CAAC,KAAK6tE,GAAG9tE,EAAEkuE,GAAG,MAAM,QAAQ,CAAC,MAAM,KAAKA,GAAG,OAAOpvE,EAAE,OAAOmB,CAAC,EAAE,CAAC,KAAK,KAAK,UAAU,EAAE,KAAKnB,EAAE,UAAUP,EAAE0B,EAAE,CAAC,CAAC,EAAED,EAAE+tE,GAAGxvE,EAAE0B,EAAE,EAAE,MAAM,KAAK6tE,GAAG9tE,EAAEiuE,GAAG,MAAM,QAAQjuE,EAAEmuE,GAAG,KAAK,CAAC,MAAM,KAAKA,GAAG,OAAOrvE,EAAE,OAAOmB,CAAC,EAAE,CAAC,KAAK6tE,GAAG9tE,EAAEiuE,GAAG,MAAM,QAAQ,CAAC,MAAM,QAAQ,CAAC,GAAGjuE,IAAIkuE,GAAG,EAAE,KAAKpvE,EAAE,UAAUP,EAAEwB,EAAE,CAAC,CAAC,EAAE,EAAE,KAAKjB,EAAE,UAAUP,CAAC,CAAC,EAAEL,GAAG,EAAE,SAAS,KAAK,gBAAgB,OAAO,MAAM,IAAI,MAAM,wCAAwC,KAAK,gBAAgB,qCAAqC,GAAG,EAAE,OAAO,CAAC,CAAC,EAAMkwE,GAAG,cAActB,EAAE,CAAC,YAAYhuE,EAAE,CAAC,MAAM,EAAE,KAAK,iBAAiBA,EAAE,KAAK,SAAS,GAAG,KAAK,QAAQA,EAAE,SAAS,KAAK,IAAIZ,EAAE,KAAK,KAAK,KAAK,OAAO,EAAE,GAAG,KAAK,QAAQ,GAAGA,EAAE,GAAGA,EAAE,IAAI,CAAC,OAAO,UAAUA,CAAC,EAAE,MAAM,IAAI,MAAM,gFAAgF,KAAK,SAAS,EAAE,GAAG,KAAK,UAAUY,EAAE,yBAAyB,GAAG,KAAK,aAAaA,EAAE,aAAa,KAAK,qBAAqBA,EAAE,sBAAsB,KAAK,QAAQ,KAAK,sBAAsBA,EAAE,sBAAsB,KAAK,sBAAsBA,EAAE,uBAAuB,EAAE,KAAK,mBAAmBA,EAAE,qBAAqB,GAAG,KAAK,gBAAgBA,EAAE,kBAAkB,GAAG,CAAC,KAAK,oBAAoB,CAAC,KAAK,gBAAgB,MAAM,IAAI,MAAM,sGAAsG,CAAC,CAAC,SAAS,CAAC,MAAM,YAAY,CAAC,aAAa,OAAOA,EAAE,CAAC,EAAE,CAAC,GAAG,CAAC2Z,EAAE,EAAE,IAAI,YAAY,EAAE,MAAM,IAAI,MAAM,0DAA0D,EAAE,IAAIva,EAAE,IAAIkwE,GAAGtvE,CAAC,EAAE,OAAO,MAAMZ,EAAE,MAAM,EAAEA,CAAC,CAAC,MAAM,OAAO,CAAC,GAAG,CAAC,KAAK,OAAO,MAAM,UAAU,aAAa,aAAa,CAAC,MAAM,KAAK,uBAAuB,KAAK,GAAG,KAAK,sBAAsB,MAAM,EAAE,CAAC,CAAC,OAAO,EAAN,CAAS,MAAM,IAAI,MAAM,iDAAiD,EAAE,SAAS,CAAC,CAAC,GAAG,CAAC,KAAK,OAAO,MAAM,IAAI,MAAM,yCAAyC,EAAE,IAAIY,EAAE,OAAO,cAAc,OAAO,mBAAmB,GAAG,KAAK,aAAa,IAAIA,EAAE,CAAC,KAAK,aAAa,KAAK,aAAa,KAAK,aAAa,mBAAmB,KAAK,aAAa,aAAa,KAAK,aAAa,MAAM,IAAI,MAAM,wCAAwC,KAAK,yBAAyB,KAAK,aAAa,YAAY,EAAE,IAAIZ,EAAE,KAAK,aAAa,wBAAwB,KAAK,MAAM,EAAE,KAAK,SAAS,KAAK,aAAa,eAAe,EAAE,KAAK,SAAS,QAAQ,KAAK,QAAQ,EAAE,KAAK,SAAS,sBAAsB,KAAK,sBAAsBA,EAAE,QAAQ,KAAK,QAAQ,EAAE,KAAK,SAAS,IAAI,aAAa,KAAK,OAAO,EAAE,KAAK,SAAS,IAAI,aAAa,KAAK,OAAO,CAAC,CAAC,MAAM,MAAM,CAAC,GAAG,KAAK,SAAS,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,IAAIY,EAAEZ,EAAE,EAAE,MAAM,KAAK,aAAa,EAAE,GAAG,KAAK,mBAAmB,CAAC,IAAIK,EAAE,KAAK,aAAa,EAAE,aAAa,EAAEO,EAAE,KAAK,4BAA4BP,EAAE,CAAC,KAAK,UAAU,KAAK,qBAAqB,CAAC,CAAC,CAAC,CAAC,GAAG,KAAK,gBAAgB,CAAC,IAAIA,EAAE,KAAK,aAAa,EAAE,aAAa,EAAEL,EAAE,KAAK,4BAA4BK,EAAE,CAAC,KAAK,UAAU,KAAK,QAAQ,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,MAAM,CAAC,YAAYO,EAAE,SAASZ,CAAC,EAAE,KAAK,EAAE,CAAC,CAAC,MAAM,SAAS,CAAC,OAAO,MAAM,KAAK,KAAK,GAAG,KAAK,CAAC,MAAM,cAAc,CAAC,IAAIY,EAAE,CAAC,EAAEZ,EAAE,CAAC,EAAE,EAAE,EAAE,OAAO,IAAI,QAAQK,GAAG,CAAC,IAAIwB,EAAE,YAAY,IAAI,CAAC,KAAK,qBAAqB,KAAK,SAAS,sBAAsB,KAAK,QAAQ,EAAE,KAAK,SAAS,KAAK,MAAMxB,EAAE,CAAC,cAAcO,EAAE,cAAcZ,CAAC,CAAC,EAAEY,EAAE,KAAK,KAAK,SAAS,MAAM,EAAE,KAAK,oBAAoB,CAAC,GAAG,KAAK,kBAAkB,KAAK,SAAS,uBAAuB,KAAK,QAAQ,EAAEZ,EAAE,KAAK,KAAK,SAAS,MAAM,CAAC,GAAG,EAAE,IAAI,KAAK,YAAY,cAAc6B,CAAC,EAAExB,EAAE,CAAC,cAAcO,EAAE,cAAcZ,CAAC,CAAC,EAAE,EAAE,KAAK,QAAQ,KAAK,aAAa,GAAG,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,KAAK,WAAW,KAAK,SAAS,GAAG,KAAK,SAAS,WAAW,EAAE,KAAK,aAAa,MAAM,EAAE,KAAK,QAAQ,MAAM,KAAK,OAAO,UAAU,EAAE,OAAO,GAAG,KAAK,OAAO,UAAU,EAAE,GAAG,KAAK,EAAE,CAAC,SAAS,CAAC,MAAM,IAAI,MAAM,iDAAiD,CAAC,CAAC,eAAe,CAAC,OAAO,KAAK,YAAY,CAAC,aAAaY,EAAE,CAAC,IAAIZ,EAAEY,EAAE,GAAG,OAAO,EAAE,IAAI,aAAaA,EAAE,OAAOZ,CAAC,EAAE,OAAOY,EAAE,QAAQ,CAACP,EAAEwB,IAAI,EAAE,IAAIxB,EAAEwB,EAAE7B,CAAC,CAAC,EAAE,CAAC,CAAC,4BAA4BY,EAAEZ,EAAE,CAAC,IAAI,EAAE,IAAI,aAAa2mB,EAAE,cAAc3mB,CAAC,CAAC,EAAE,OAAO,EAAE,IAAIY,EAAE,EAAE,OAAOA,EAAE,MAAM,EAAEwrB,GAAG,EAAEpsB,CAAC,CAAC,CAAC,EAAMmwE,GAAG,cAAcvB,EAAE,CAAC,YAAYhuE,EAAEZ,EAAE,CAAC,GAAG,MAAM,EAAE,KAAK,mBAAmBY,EAAE,KAAK,aAAaZ,EAAE,KAAK,SAAS,GAAG,KAAK,OAAO,GAAG,KAAK,aAAa,EAAE,GAAG,KAAK,OAAO,GAAG,KAAK,SAAS,CAAC,KAAK,aAAa,aAAa,KAAK,aAAa,WAAW,EAAE,KAAK,WAAW8vC,GAAG,CAAC,CAAC,EAAE,OAAO,EAAE,KAAK,aAAa,WAAW,CAAC,IAAI,EAAE,KAAK,aAAa,YAAY,EAAE,KAAK,mBAAmB,MAAMzvC,EAAE,KAAK,aAAa,aAAa,EAAE,KAAK,mBAAmB,OAAOwB,GAAG,EAAE,GAAG,EAAEC,GAAG,EAAEzB,GAAG,EAAE0B,EAAEF,EAAE,EAAEG,EAAE3B,EAAEyB,EAAE,KAAK,QAAQiuC,GAAG,CAACjuC,EAAED,EAAEG,EAAED,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,MAAM,KAAK,QAAQguC,GAAG,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,QAAQ,CAAC,aAAa,OAAOnvC,EAAEZ,EAAE,CAAC,EAAE,CAAC,GAAG,CAACua,EAAE,EAAE,IAAI,YAAY,EAAE,MAAM,IAAI,MAAM,0DAA0D,EAAE,GAAG,CAAC3Z,EAAE,CAAC,GAAGA,EAAE,SAAS,cAAc,OAAO,EAAE,CAACZ,EAAE,aAAa,CAACA,EAAE,aAAa,MAAM,IAAI,MAAM,wGAAwG,EAAEY,EAAE,MAAMZ,EAAE,YAAYY,EAAE,OAAOZ,EAAE,YAAY,CAAC,IAAI,EAAE,IAAImwE,GAAGvvE,EAAEZ,CAAC,EAAE,OAAO,MAAM,EAAE,MAAM,EAAE,CAAC,CAAC,MAAM,OAAO,CAAC,KAAK,aAAa,YAAY2mB,EAAE,OAAO,KAAK,aAAa,aAAa,QAAQ,KAAK,aAAa,aAAa,cAAc,IAAI,+BAA+B,KAAK,aAAa,oDAAoD,EAAE,GAAG,CAAC,KAAK,OAAO,MAAM,UAAU,aAAa,aAAa,CAAC,MAAM,CAAC,SAAS,KAAK,aAAa,SAAS,WAAW,KAAK,aAAa,WAAW,KAAK,aAAa,WAAW,OAAO,MAAM,KAAK,mBAAmB,MAAM,OAAO,KAAK,mBAAmB,MAAM,CAAC,CAAC,CAAC,OAAO/lB,EAAN,CAAS,MAAMA,EAAE,QAAQ,iDAAiDA,EAAE,UAAUA,CAAC,CAAC,GAAG,CAAC,KAAK,OAAO,MAAM,IAAI,MAAM,qCAAqC,EAAE,GAAG,CAAC,KAAK,mBAAmB,UAAU,KAAK,MAAM,OAAOA,EAAN,CAAS,QAAQ,IAAIA,CAAC,EAAE,KAAK,mBAAmB,IAAI,OAAO,IAAI,gBAAgB,KAAK,MAAM,CAAC,CAAC,OAAO,KAAK,mBAAmB,KAAK,EAAE,KAAK,SAAS,GAAG,IAAI,QAAQA,GAAG,CAAC,KAAK,mBAAmB,iBAAiB,IAAI,CAACA,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,MAAM,CAAC,GAAG,KAAK,SAAS,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,IAAIA,EAAE,GAAG,CAACA,EAAEo0B,GAAG,WAAW,KAAK,kBAAkB,CAAC,OAAOh1B,EAAN,CAAS,MAAM,IAAI,MAAM,4CAA4C,KAAK,UAAUA,CAAC,GAAG,CAAC,CAAC,GAAG,KAAK,OAAO,GAAG,CAAC,MAAM,CAAC,MAAM,KAAK,mBAAmBY,CAAC,EAAE,KAAK,EAAE,CAAC,OAAOZ,EAAN,CAAS,MAAM,IAAI,MAAM,oCAAoCA,EAAE,SAAS,CAAC,QAAC,CAAQY,EAAE,QAAQ,CAAC,KAAM,OAAM,CAAC,MAAMA,EAAE,KAAK,EAAE,CAAC,CAAC,cAAc,CAAC,MAAM,CAAC,EAAE,KAAK,aAAa,aAAa,KAAK,aAAa,eAAe,KAAK,mBAAmB,QAAQ,KAAK,aAAa,aAAa,KAAK,mBAAmB,SAAS,KAAK,aAAa,cAAc,CAAC,mBAAmBA,EAAE,CAAC,OAAO0yB,EAAE,IAAI,CAAC,IAAItzB,EAAEyjC,GAAGnT,GAAE1vB,EAAE,SAAS,EAAE,CAAC,EAAE,EAAE,EAAEs4C,GAAG,cAAcl5C,EAAE,KAAK,QAAQ,KAAK,WAAW,KAAK,SAAS,UAAU,EAAE,IAAIK,EAAE,EAAE,MAAM,OAAO07B,EAAE,EAAE17B,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,SAAS,CAAC,OAAO,MAAM,KAAK,KAAK,GAAG,KAAK,CAAC,MAAM,CAAC,KAAK,OAAO,UAAU,EAAE,QAAQ,GAAG,EAAE,KAAK,CAAC,EAAE,GAAG,CAAC,KAAK,mBAAmB,UAAU,IAAI,OAAO,EAAN,CAAS,QAAQ,IAAI,CAAC,EAAE,KAAK,mBAAmB,IAAI,IAAI,CAAC,KAAK,SAAS,EAAE,CAAC,SAAS,CAAC,MAAM,IAAI,MAAM,iDAAiD,CAAC,CAAC,EAAM+vE,GAAG,KAAK,CAAC,EAAMC,GAAG,cAAczB,EAAE,CAAC,MAAMhuE,EAAE,CAAC,OAAO,IAAI0vE,GAAG,KAAK1vE,CAAC,CAAC,CAAC,EAAE0vE,GAAG,cAAcD,EAAE,CAAC,YAAYzvE,EAAEZ,EAAE,CAAC,MAAM,EAAE,KAAK,SAASY,EAAE,KAAK,KAAK,IAAI2vE,GAAG3vE,EAAEZ,CAAC,CAAC,CAAC,SAAS,CAAC,OAAO,KAAK,KAAK,QAAQ,CAAC,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,KAAK,KAAK,CAAC,CAAC,EAAEuwE,GAAG,cAAcf,EAAE,CAAC,YAAY5uE,EAAEZ,EAAE,CAAC,MAAM,EAAE,KAAK,SAASY,EAAE,KAAK,UAAUZ,EAAE,KAAK,UAAU,EAAE,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,eAAe,KAAK,aAAa,CAAC,MAAM,MAAM,CAAC,IAAIY,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,GAAGA,EAAE,KAAK,OAAO,KAAK,YAAY,GAAG,IAAI,KAAK,YAAY,KAAK,KAAK,SAAS,EAAE,KAAK,UAAU,GAAG,IAAI,IAAIZ,EAAEY,EAAE,MAAM,MAAM,KAAK,SAAS,EAAEZ,EAAE,GAAG,KAAK,UAAUA,EAAE,GAAG,QAAQ,KAAKA,EAAE,MAAM,EAAE,EAAE,EAAE,KAAK,YAAY,KAAK,CAAC,EAAE,OAAO,KAAK,UAAUA,EAAEA,EAAE,OAAO,GAAG,EAAE,CAAC,EAAMwwE,GAAG,cAAc5B,EAAE,CAAC,YAAY,CAAC,OAAO,IAAI6B,GAAG,IAAI,CAAC,CAAC,EAAEA,GAAG,cAAcJ,EAAE,CAAC,YAAYzvE,EAAE,CAAC,MAAM,EAAE,KAAK,SAASA,EAAE,KAAK,KAAK,IAAI8vE,GAAG9vE,CAAC,CAAC,CAAC,SAAS,CAAC,OAAO,KAAK,KAAK,QAAQ,CAAC,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,KAAK,KAAK,CAAC,CAAC,EAAE8vE,GAAG,cAAclB,EAAE,CAAC,YAAY5uE,EAAE,CAAC,GAAG,MAAM,EAAE,KAAK,SAASA,EAAE2Z,EAAE,EAAE,IAAI,YAAY,EAAE,KAAK,QAAQ,IAAI,YAAY,OAAO,MAAM,CAAC,GAAG,CAAC,cAAcva,CAAC,EAAE+F,GAAG,EAAE,KAAK,QAAQ,IAAI/F,EAAE,MAAM,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,WAAW,CAAC,MAAM,MAAM,CAAC,IAAIY,EAAE,MAAM,KAAK,SAAS,KAAK,EAAEZ,EAAE,GAAGY,EAAE,KAAK,MAAM,GAAGZ,EAAEY,EAAE,MAAM,IAAI,EAAE,OAAO2Z,EAAE,EAAE,IAAI,YAAY,EAAE,EAAE,KAAK,QAAQ,OAAOva,EAAE,CAAC,OAAO,EAAE,CAAC,EAAE,EAAE,KAAK,QAAQ,MAAM,OAAO,KAAKA,EAAE,MAAM,CAAC,EAAE,KAAK,YAAY,KAAK,CAAC,EAAE,EAAE,CAAC,EAAM2wE,GAAG,cAAcH,EAAE,CAAC,YAAY5vE,EAAEZ,EAAE,CAAC,EAAE,CAAC,MAAM,EAAE,KAAK,KAAKY,EAAE,KAAK,QAAQZ,EAAE2mB,EAAE,OAAO/lB,aAAa,aAAa2Z,EAAE,EAAE,IAAI,YAAY,EAAE3Z,aAAa,MAAMA,aAAa,KAAK,IAAI,IAAI,sEAAsE,EAAE,KAAK,OAAOZ,EAAE,QAAQ,EAAE,KAAK,UAAUA,EAAE,WAAW,KAAK,IAAI,CAAC,SAAS,CAAC,MAAM,cAAc,KAAK,MAAM,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,gBAAgB,WAAW,KAAK,KAAK,WAAW,KAAK,KAAK,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,CAAC,MAAM,MAAM,IAAI,QAAQ,CAAC,EAAEI,IAAI,CAAC,IAAIC,EAAE,KAAK,OAAO,KAAK,UAAU,GAAG,KAAK,gBAAgB,WAAW,EAAE,IAAI,WAAW,KAAK,KAAK,MAAM,KAAK,OAAOA,CAAC,CAAC,CAAC,MAAM,CAAC,IAAIwB,EAAE,IAAI,WAAWA,EAAE,OAAOE,GAAG,CAAC,IAAIC,EAAEH,EAAE,OAAO,GAAGG,aAAa,cAAcA,EAAE,IAAI,WAAWA,CAAC,GAAG,EAAEA,aAAa,YAAY,OAAO5B,EAAE,IAAI,UAAU,mCAAmC,CAAC,EAAE,EAAE4B,CAAC,CAAC,EAAEH,EAAE,QAAQE,GAAG3B,EAAE,IAAI,MAAM,SAAS,CAAC,EAAEyB,EAAE,QAAQE,GAAG3B,EAAE,IAAI,MAAM2B,EAAE,IAAI,CAAC,EAAE,IAAID,EAAE,KAAK,KAAK,MAAM,KAAK,OAAOzB,CAAC,EAAEwB,EAAE,kBAAkBC,CAAC,CAAC,CAAC,KAAK,OAAOzB,CAAC,CAAC,EAAE,KAAK,EAAE,CAAC,CAAC,EAAE,eAAeuwE,GAAG9wE,EAAE,EAAE,CAAC,EAAEE,EAAE,CAAC,IAAII,EAAEC,EAAE,OAAOP,GAAG,SAASM,EAAEN,GAAGM,EAAEN,EAAE,IAAIO,EAAEwwE,GAAG/wE,CAAC,GAAG,IAAI,EAAE,MAAME,GAAG2mB,EAAE,OAAOvmB,EAAEC,CAAC,EAAE,GAAG,EAAE,GAAG,CAAC,IAAI,EAAE,IAAI,WAAW,MAAM,EAAE,YAAY,CAAC,EAAE,OAAO,IAAIswE,GAAG,EAAE,CAAC,CAAC,KAAM,OAAM,IAAI,MAAM,EAAE,UAAU,CAAC,CAAC,IAAIE,GAAG/wE,IAAI,CAAC,OAAOA,EAAE,OAAO,QAAQA,EAAE,QAAQ,KAAKA,EAAE,KAAK,KAAKA,EAAE,KAAK,YAAYA,EAAE,YAAY,MAAMA,EAAE,MAAM,SAASA,EAAE,SAAS,SAASA,EAAE,SAAS,UAAUA,EAAE,SAAS,GAAG,SAASgxE,GAAGhxE,EAAE,CAAC,OAAO,OAAOA,GAAG,UAAUA,EAAE,MAAM,EAAE,CAAC,IAAI,SAAS,CAAC,IAAI2sE,GAAG,cAAc2D,EAAE,CAAC,YAAYxvE,EAAEZ,EAAE,CAAC,EAAE,CAAC,MAAM,EAAE,KAAK,MAAMY,EAAE,KAAK,QAAQZ,CAAC,CAAC,MAAM,UAAU,CAAC,GAAG8wE,GAAG,KAAK,KAAK,GAAGv2D,EAAE,EAAE,IAAI,SAAS,EAAE,CAAC,IAAI3Z,EAAEoF,GAAG,EAAE,KAAK,MAAMpF,EAAE,aAAa,KAAK,MAAM,MAAM,CAAC,CAAC,CAAC,CAAC,OAAO,IAAI+vE,GAAG,KAAK,MAAM,KAAK,OAAO,CAAC,CAAC,EAAMhE,GAAG,cAAcyD,EAAE,CAAC,YAAYxvE,EAAEZ,EAAE,CAAC,EAAE,CAAC,MAAM,EAAE,KAAK,IAAIY,EAAE,KAAK,YAAYZ,CAAC,CAAC,MAAM,UAAU,CAAC,OAAO8wE,GAAG,KAAK,GAAG,EAAE,IAAIrE,GAAG,KAAK,IAAI,KAAK,WAAW,EAAE,SAAS,EAAEmE,GAAG,KAAK,IAAI,KAAK,WAAW,CAAC,CAAC,EAAE,SAAS/D,GAAG/sE,EAAE,EAAE,CAAC,EAAE,CAAC,OAAO,IAAIysE,GAAG,IAAII,GAAG7sE,CAAC,EAAE,CAAC,CAAC,CAAC,SAASgtE,GAAGhtE,EAAE,CAAC,IAAI,EAAEuuE,GAAGvuE,CAAC,EAAE,OAAO2vE,GAAG,SAAS,CAAC,CAAC,CAAC,SAAS1C,GAAGjtE,EAAE,CAAC,OAAO2vE,GAAG,SAAS,CAAC,IAAI,EAAE,MAAM3vE,EAAE,EAAE,OAAOuuE,GAAG,IAAI,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,eAAenB,GAAGptE,EAAE,EAAE,CAAC,OAAOqwE,GAAG,OAAOrwE,EAAE,CAAC,CAAC,CAAC,eAAektE,GAAGltE,EAAE,CAAC,OAAOowE,GAAG,OAAOpwE,CAAC,CAAC,CAAC,IAAImtE,GAAG,SAAS,SAAS8D,GAAGjxE,EAAE,EAAE,CAAC,MAAM,QAAQA,CAAC,IAAIA,EAAE,CAACA,CAAC,GAAGA,EAAE,QAAQE,GAAG,CAACA,GAAG,MAAM2mB,EAAE,OAAO3mB,EAAE,QAAQ,YAAY,IAAI,GAAG,0DAA0D,CAAC,CAAC,CAAC,CAAC,IAAIgxE,GAAGhzB,GAAG,UAAUizB,GAAG,cAAc/5D,EAAE,CAAC,aAAa,CAAC,MAAM,EAAE,KAAK,UAAU,GAAG,KAAK,SAAS,GAAG,KAAK,KAAK,IAAID,GAAG,KAAKkc,GAAG,CAAC,CAAC,CAAC,YAAY,CAAC,OAAO89C,GAAG,YAAY,CAAC,MAAMrwE,EAAEZ,EAAE,EAAE,CAAC,KAAK,WAAW,KAAK,SAAS,GAAGua,EAAE,EAAE,IAAI,SAAS,GAAG4/B,EAAE,KAAK;AAAA;AAAA;AAAA,6BAGx6b,GAAG,IAAI95C,EAAE,CAAC,GAAG,KAAK,WAAW,CAAC,EAAE,OAAO,KAAK,KAAK,IAAIA,EAAE,CAAC,OAAOO,EAAE,MAAM,EAAE,SAAS,CAAC,CAAC,EAAEP,CAAC,CAAC,eAAeO,EAAEZ,EAAE,EAAE,CAAC,IAAIK,EAAE,GAAGL,IAAI,UAAU,GAAG,MAAM,EAAE,OAAO,GAAG2mB,EAAE,SAAS,EAAE,EAAE,EAAE,CAAC,IAAI9kB,EAAE,EAAE,IAAIC,GAAG6kB,EAAE,aAAa7kB,CAAC,CAAC,EAAEzB,EAAE,KAAK,MAAMwB,EAAEjB,EAAEZ,CAAC,CAAC,MAAMK,EAAE,KAAK,MAAM,EAAEO,EAAEZ,CAAC,EAAE,MAAM,CAAC,OAAOK,EAAE,MAAMO,EAAE,MAAMZ,CAAC,CAAC,CAAC,SAASY,EAAE,CAAC,OAAO,KAAK,KAAK,IAAIA,CAAC,EAAE,KAAK,KAAK,IAAIA,CAAC,EAAE,SAAS,CAAC,CAAC,OAAOA,EAAE,CAAC,IAAIZ,EAAE,KAAK,KAAK,IAAIY,CAAC,EAAEZ,EAAE,UAAU,CAAC,OAAOY,EAAE,CAAC,GAAG,KAAK,KAAK,IAAIA,CAAC,EAAE,CAAC,IAAIZ,EAAE,KAAK,KAAK,IAAIY,CAAC,EAAEZ,EAAE,UAAU,CAAC,CAAC,KAAKY,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,KAAK,KAAK,IAAIjB,EAAE,CAAC,OAAOZ,EAAE,MAAMK,EAAE,SAASwB,CAAC,CAAC,CAAC,CAAC,YAAY,CAAC,OAAO,KAAK,KAAK,WAAW,CAAC,CAAC,MAAM,KAAKjB,EAAE,CAAC,OAAO,KAAK,SAASA,CAAC,CAAC,CAAC,SAASA,EAAE,CAAC,GAAG,CAAC,MAAMZ,EAAE,mBAAmB,CAAC,EAAE,KAAK,KAAK,IAAIY,CAAC,EAAE,GAAGZ,IAAI,YAAY,CAAC,IAAIK,EAAE,KAAK,SAAS,EAAE,KAAK,MAAM,EAAEwB,EAAE,KAAK,SAAS,EAAE,KAAK,MAAM,EAAE,OAAOs4C,EAAE,uBAAuB95C,EAAEwB,CAAC,CAAC,CAAC,OAAO,KAAK,KAAK,IAAIjB,CAAC,EAAE,MAAM,CAAC,WAAWA,EAAE,CAAC,IAAIZ,EAAE,KAAK,SAASY,EAAE,MAAM,EAAE,GAAGA,EAAE,QAAQ,SAAS,GAAG,CAAC,IAAI,EAAEZ,EAAE,IAAIK,GAAGsmB,EAAE,aAAatmB,CAAC,CAAC,EAAE,OAAO+vB,GAAGxvB,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,OAAO,EAAN,CAAS,MAAM,IAAI,MAAM,kDAAkD,CAAC,CAAC,OAAOwvB,GAAGxvB,EAAE,MAAMA,EAAE,MAAMZ,CAAC,CAAC,CAAC,WAAWY,EAAEZ,EAAE,EAAE,CAAC,OAAOmzB,GAAG,EAAE,yBAAyB,KAAK,eAAenzB,EAAE,EAAEY,CAAC,EAAE,IAAI,CAAC,CAAC,YAAYA,EAAEZ,EAAE,GAAG,CAAC,GAAG,KAAK,KAAK,IAAIY,CAAC,EAAE,CAAC,GAAG,KAAK,KAAK,IAAIA,CAAC,EAAE,WAAW,CAACZ,GAAG,KAAK,KAAK,IAAIY,CAAC,EAAE,SAAS,EAAE,MAAM,GAAG,GAAG,CAAC,mBAAmB,CAAC,EAAE,KAAK,KAAK,IAAIA,CAAC,EAAE,GAAG,OAAO,KAAK,YAAY,EAAE,KAAK,OAAO,EAAE,EAAE,KAAK,YAAY,EAAE,KAAK,OAAO,EAAE,GAAG,KAAK,KAAK,OAAOA,CAAC,CAAC,CAAC,MAAM,EAAE,CAAC,8BAA8BA,EAAE,CAAC,KAAK,YAAYA,EAAE,MAAM,CAAC,CAAC,MAAM,KAAKA,EAAE,CAAC,IAAIZ,EAAE2mB,EAAE,IAAI,EAAE,OAAO/lB,EAAE,EAAE,CAAC,SAAS+lB,EAAE,IAAI,EAAE3mB,CAAC,CAAC,CAAC,QAAQ,CAAC,MAAM,CAAC,WAAW,GAAG,QAAQ,CAAC,oHAAoH,CAAC,CAAC,CAAC,MAAMY,EAAE,CAACmwE,GAAG,CAACnwE,CAAC,EAAE,OAAO,EAAE,IAAIZ,EAAE,KAAK,SAASY,EAAE,MAAM,EAAE,OAAOowE,GAAGpwE,EAAE,MAAMZ,CAAC,CAAC,CAAC,SAAS,CAAC,CAAC,gBAAgB,CAAC,MAAO,GAAE,CAAC,SAAS,CAAC,OAAO,MAAM,QAAQ,CAAC,CAAC,EAAEixE,GAAG,WAAW,EAAE,IAAIC,GAAG,CAAC,EAAEhxE,GAAGgxE,GAAG,CAAC,QAAQ,IAAIC,GAAG,aAAa,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,SAAS,IAAIC,GAAG,SAAS,IAAIC,GAAG,WAAW,IAAIC,GAAG,UAAU,IAAIC,GAAG,QAAQ,IAAIC,GAAG,UAAU,IAAIC,GAAG,UAAU,IAAIC,GAAG,aAAa,IAAIC,GAAG,aAAa,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,YAAY,IAAIC,GAAG,cAAc,IAAIC,GAAG,SAAS,IAAIC,GAAG,aAAa,IAAIC,GAAG,QAAQ,IAAIC,GAAG,QAAQ,IAAIC,GAAG,YAAY,IAAIC,GAAG,YAAY,IAAIC,GAAG,aAAa,IAAIC,GAAG,QAAQ,IAAIC,GAAG,aAAa,IAAIC,GAAG,SAAS,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,yBAAyB,IAAIC,GAAG,UAAU,IAAIC,GAAG,UAAU,IAAIC,GAAG,YAAY,IAAIC,GAAG,YAAY,IAAIC,GAAG,cAAc,IAAIC,GAAG,UAAU,IAAIC,GAAG,wBAAwB,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,SAAS,IAAIC,GAAG,sBAAsB,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,QAAQ,IAAIC,GAAG,SAAS,IAAIC,GAAG,SAAS,IAAIC,GAAG,cAAc,IAAIC,GAAG,WAAW,IAAIC,EAAE,CAAC,EAAE,SAASf,GAAGpzE,EAAE,CAAC,IAAI,EAAE,IAAI,aAAaA,EAAE,MAAM,EAAE,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,EAAEA,GAAG,KAAK,IAAIF,EAAEE,EAAE,EAAE,OAAO,CAAC,CAAC,IAAIk0E,GAAGp0E,GAAG,CAAC,GAAG,CAAC,EAAE,CAAC,EAAEA,EAAE,OAAOE,EAAEF,EAAE,QAAQixE,GAAG,EAAE,KAAK,EAAE,IAAI3wE,EAAE,IAAI,aAAaumB,EAAE,cAAc,EAAE,KAAK,CAAC,EAAEtmB,EAAEL,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,OAAOI,EAAE8yE,GAAG7yE,CAAC,EAAEL,EAAE,WAAWI,EAAE,EAAE,MAAM,EAAE,KAAK,CAAC,EAAE+zE,GAAG,CAAC,WAAWn5D,GAAG,YAAY,MAAM,WAAWk5D,EAAE,EAAE,SAASE,GAAGt0E,EAAE,CAAC,MAAM,CAAC,EAAEE,EAAEI,EAAEC,EAAE,IAAI,CAAC,IAAI,EAAE85C,EAAE,2BAA2B,EAAEn6C,CAAC,EAAE+B,EAAE,EAAE,OAAOC,EAAE2kB,EAAE,eAAe,CAAC,EAAE1kB,EAAE0kB,EAAE,cAAc,CAAC,EAAEjkB,EAAEikB,EAAE,uBAAuB,EAAE1kB,CAAC,EAAEU,EAAE,EAAE,OAAOC,EAAE5C,EAAE,OAAO6C,EAAE8jB,EAAE,eAAe,CAAC,EAAE7jB,EAAE6jB,EAAE,eAAe3mB,CAAC,EAAEgE,EAAEm2C,EAAE,iBAAiB,EAAE,CAAC,EAAE,EAAEA,EAAE,iBAAiBn6C,EAAE,CAAC,EAAE,GAAGgE,EAAE,OAAO,EAAE,SAAS,EAAE,QAAQqD,EAAE,EAAEA,EAAE3E,EAAE,OAAO,EAAE2E,EAAE3E,EAAE2E,GAAGvH,EAAEM,EAAEiH,EAAEjH,EAAE,QAAQC,EAAEgH,EAAEhH,EAAE,OAAO,MAAO,SAAQgH,EAAE,EAAEA,EAAE3E,EAAE,OAAO,EAAE2E,EAAE,CAAC,IAAIxC,EAAE8hB,EAAE,WAAWtf,EAAEtF,EAAEC,CAAC,EAAEyC,EAAEI,EAAE,MAAM,CAAClC,CAAC,EAAEqB,EAAE,QAAQsD,GAAG7C,EAAE6C,GAAG,CAAC,EAAE,IAAI5C,EAAEiiB,EAAE,WAAWliB,EAAE9B,EAAEE,CAAC,EAAE8B,EAAEE,EAAE,MAAM,CAACjC,CAAC,EAAE,EAAE,QAAQ0E,GAAG3C,EAAE2C,GAAG,CAAC,EAAE,IAAI1C,EAAE+hB,EAAE,WAAWhiB,EAAE/B,EAAEE,CAAC,EAAEJ,EAAE2E,GAAGvH,EAAEM,EAAEsE,GAAGrE,EAAEuE,EAAE,CAAC,CAAC,MAAM,CAAClC,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS2xE,GAAGv0E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,KAAKM,EAAE,KAAKC,CAAC,EAAE,EAAE,EAAEL,EAAE,KAAK,IAAII,EAAE,MAAM,EAAE,OAAO,EAAEJ,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO0B,EAAE/B,EAAE,eAAeI,EAAE,MAAM,WAAW,EAAE4B,EAAEhC,EAAE,KAAK,IAAI+B,EAAE,MAAM,EAAE,OAAOC,EAAE,mBAAmB,CAAC,KAAKhC,EAAE,eAAeI,EAAE,MAAM,UAAU,CAAC,EAAE,KAAKJ,EAAE,eAAeK,EAAE,MAAM,UAAU,CAAC,CAAC,EAAE0B,CAAC,CAAC,IAAIuyE,GAAG,CAAC,WAAW53D,GAAG,YAAY,MAAM,WAAW23D,EAAE,EAAE,SAASE,GAAGz0E,EAAE,EAAEE,EAAE,UAAU,CAAC,GAAGA,IAAI,YAAY,CAAC,IAAIK,EAAEk0E,GAAGz0E,EAAE,EAAE,SAAS,EAAE,EAAEy0E,GAAGz0E,EAAE,EAAE,SAAS,EAAE,OAAOu0E,GAAG,CAAC,OAAO,CAAC,KAAKh0E,EAAE,KAAK,CAAC,EAAE,QAAQP,CAAC,CAAC,CAAC,CAAC,IAAIM,EAAEumB,EAAE,oBAAoBA,EAAE,cAAc,CAAC,EAAE3mB,CAAC,EAAE,OAAOF,EAAE,eAAe,EAAEE,EAAEI,CAAC,CAAC,CAAC,SAASo0E,GAAG10E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,CAAC,EAAE,EAAE,OAAOJ,EAAE,OAAOI,EAAE,MAAM,EAAE,CAAC,OAAOA,EAAE,OAAO,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,IAAIq0E,GAAG,CAAC,WAAWr1D,GAAG,YAAY,MAAM,WAAWo1D,EAAE,EAAE,SAASE,GAAG50E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMM,CAAC,EAAE,EAAEC,EAAEL,EAAE,KAAK,IAAII,EAAE,MAAM,EAAE,mBAAmB,KAAK,EAAEJ,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO,OAAOL,EAAE,eAAeK,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,CAAC,IAAIs0E,GAAG,CAAC,WAAWryD,GAAG,YAAY,MAAM,WAAWoyD,EAAE,EAAE,SAASpD,GAAGxxE,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAGA,IAAI,QAAQ,CAAC,IAAIC,EAAE,WAAW,KAAKP,CAAC,EAAE,MAAM,CAAC,EAAE,QAAQO,CAAC,CAAC,CAAC,GAAGD,IAAI,OAAO,CAAC,IAAIC,EAAEsmB,EAAE,aAAa,CAAC,CAAC,EAAE3mB,CAAC,EAAE,CAAC,EAAE,CAAC,EAAEo0E,GAAG,CAACryE,EAAEC,IAAID,IAAIC,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAElC,EAAEO,EAAE,MAAM,EAAE,MAAM,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,MAAM,IAAI,MAAM,iCAAiCL,QAAQI,GAAG,CAAC,CAAC,SAASw0E,GAAG90E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE,GAAG,IAAI,YAAY,CAAC,GAAGC,EAAE,QAAQ,YAAY,OAAOm0E,GAAG,CAAC,OAAO,CAAC,EAAEn0E,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,IAAI0C,EAAE6xE,GAAGv0E,EAAEK,EAAE,MAAMA,EAAE,KAAK,EAAEsC,EAAEiyE,GAAG,CAAC,OAAO,CAAC,EAAEv0E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAE4C,EAAEyxE,GAAG,CAAC,OAAO,CAAC,KAAK1xE,EAAE,KAAKD,CAAC,EAAE,QAAQ1C,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B0C,CAAC,EAAE1C,EAAE,8BAA8B2C,CAAC,EAAEC,CAAC,CAAC,GAAGvC,EAAE,QAAQ,YAAY,CAAC,IAAIqC,EAAEgyE,GAAG,CAAC,OAAO,CAAC,MAAMr0E,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE2C,EAAEiyE,GAAG,CAAC,OAAO,CAAC,EAAElyE,CAAC,EAAE,QAAQ1C,EAAE,MAAM,CAAC,MAAM,CAAC,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B0C,CAAC,EAAEC,CAAC,CAAC,GAAG,CAACgkB,EAAE,gBAAgBtmB,EAAE,MAAM,CAAC,EAAE,CAAC,IAAIqC,EAAE8xE,GAAG,CAAC,OAAO,CAAC,EAAEn0E,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,MAAM,CAAC,OAAO0C,EAAE,OAAO,MAAMA,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC,IAAI,EAAE1C,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO,CAAC0B,EAAEC,EAAEC,CAAC,EAAEqvE,GAAG,EAAEjxE,EAAE,MAAMA,EAAE,MAAM,CAAC,EAAE,OAAOL,EAAE,eAAe+B,EAAEC,EAAEC,CAAC,CAAC,CAAC,IAAI4yE,GAAG,CAAC,WAAWt4D,GAAG,YAAY,MAAM,WAAWq4D,EAAE,EAAE,SAASE,GAAGh1E,EAAE,EAAEE,EAAEI,EAAE,CAAC,OAAOJ,GAAG,KAAK,CAAC,CAAC,OAAOK,EAAE,QAAQ,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,EAAE,EAAE0B,CAAC,EAAE1B,EAAE2B,EAAE,EAAE+uE,GAAG,CAAC,EAAEhvE,CAAC,EAAEjC,CAAC,EAAE,IAAImC,EAAED,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOU,EAAEV,EAAE,KAAK,IAAID,EAAE,MAAM,EAAE,OAAOY,EAAE,EAAE,QAAQ,SAASw3C,EAAE,uBAAuBl4C,CAAC,EAAEA,EAAEW,EAAE,EAAE,QAAQ,SAASu3C,EAAE,uBAAuBz3C,CAAC,EAAEA,EAAEG,EAAEzC,GAAG,EAAE,MAAM,CAAC0C,EAAEkB,CAAC,EAAE,EAAE,EAAE,MAAMjC,EAAE,MAAMY,EAAEC,EAAEC,CAAC,EAAE,OAAOb,EAAE,eAAegC,EAAEnB,EAAEC,CAAC,CAAC,EAAE,CAAC,CAAC,OAAOzC,EAAE,QAAQ,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,EAAE,EAAE0B,CAAC,EAAE1B,EAAE2B,EAAE,EAAE,GAAG,EAAE,QAAQ,aAAaD,EAAE,QAAQ,YAAY,CAAC,IAAIE,EAAE2yE,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ5yE,EAAE,MAAM,CAAC,MAAM,WAAW,CAAC,CAAC,EAAEU,EAAEV,EAAE,KAAK,IAAIC,EAAE,MAAM,EAAEU,EAAED,EAAE,mBAAmB,KAAKE,EAAEF,EAAE,mBAAmB,KAAKG,EAAEb,EAAE,KAAK,IAAIW,EAAE,MAAM,EAAE,OAAOG,EAAEd,EAAE,KAAK,IAAIY,EAAE,MAAM,EAAE,OAAOoB,EAAE4wE,GAAG,CAAC,OAAO,CAAC,EAAE7yE,CAAC,EAAE,QAAQC,EAAE,MAAM,CAAC,MAAM,WAAW,CAAC,CAAC,EAAE,EAAEA,EAAE,KAAK,IAAIgC,EAAE,MAAM,EAAEqD,EAAE,EAAE,mBAAmB,KAAKxC,EAAE,EAAE,mBAAmB,KAAKJ,EAAEzC,EAAE,KAAK,IAAIqF,EAAE,MAAM,EAAE,OAAO3C,EAAE1C,EAAE,KAAK,IAAI6C,EAAE,MAAM,EAAE,OAAO,CAACF,EAAEC,EAAE0C,CAAC,EAAEtH,EAAE,EAAE,MAAM+B,EAAE,MAAMc,EAAEC,EAAE2B,EAAEC,CAAC,EAAEI,EAAE9C,EAAE,eAAesF,EAAE,UAAU3C,CAAC,EAAE4C,EAAEvF,EAAE,eAAesF,EAAE,UAAU1C,CAAC,EAAEG,EAAEsvE,GAAG,CAAC,OAAO,CAAC,KAAKvvE,EAAE,KAAKyC,CAAC,EAAE,QAAQvF,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BC,CAAC,EAAED,EAAE,8BAA8BgC,CAAC,EAAEhC,EAAE,8BAA8B8C,CAAC,EAAE9C,EAAE,8BAA8BuF,CAAC,EAAExC,CAAC,KAAK,CAAC,IAAI9C,EAAED,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOU,EAAEV,EAAE,KAAK,IAAID,EAAE,MAAM,EAAE,OAAOY,EAAEvC,GAAG,EAAE,MAAM,CAACwC,EAAEC,CAAC,EAAE,EAAE,EAAE,MAAMd,EAAE,MAAME,EAAES,EAAEC,CAAC,EAAE,OAAOX,EAAE,eAAea,EAAEF,EAAEC,CAAC,CAAC,CAAC,CAAC,CAAC,SAASmyE,GAAGj1E,EAAE,CAAC,MAAM,CAAC,EAAEE,EAAEI,EAAEC,EAAE,EAAE,IAAI,CAAC,IAAI0B,EAAEo4C,EAAE,2BAA2B,EAAEn6C,CAAC,EAAEgC,EAAE2kB,EAAE,cAAc5kB,CAAC,EAAEE,EAAEF,EAAE,OAAOW,EAAEikB,EAAE,eAAe5kB,CAAC,EAAEY,EAAEgkB,EAAE,uBAAuB,UAAU3kB,CAAC,EAAEY,EAAE+jB,EAAE,uBAAuB,UAAU3kB,CAAC,EAAEa,EAAEs3C,EAAE,iBAAiB,EAAEp4C,CAAC,EAAEe,EAAEq3C,EAAE,iBAAiBn6C,EAAE+B,CAAC,EAAEiC,EAAEm2C,EAAE,uBAAuB/5C,EAAEC,CAAC,EAAE,EAAE85C,EAAE,uBAAuB,EAAE,CAAC,EAAE9yC,EAAE,EAAE,OAAOxC,EAAE8hB,EAAE,eAAe,CAAC,EAAEliB,EAAEzE,EAAE,OAAO0E,EAAEiiB,EAAE,eAAe3mB,CAAC,EAAE,GAAG6C,EAAE,OAAOC,EAAE,SAAS,EAAE,QAAQ6B,EAAE,EAAEA,EAAEhC,EAAE,OAAOgC,IAAI,CAAC,IAAIC,EAAED,EAAEX,EAAE,OAAOsD,EAAE3C,EAAE,EAAE,OAAOG,EAAEhF,EAAEkE,EAAEY,EAAE,GAAGZ,EAAEY,EAAE,EAAE,GAAG,EAAE0C,EAAE,GAAG,EAAEA,EAAE,EAAE,EAAE,EAAE3E,EAAEgC,GAAGG,EAAE,KAAKlC,EAAE+B,GAAGG,EAAE,IAAI,KAAM,SAAQH,EAAE,EAAEA,EAAEhC,EAAE,OAAOgC,IAAI,CAAC,IAAIC,EAAE+hB,EAAE,WAAWhiB,EAAE1C,EAAES,CAAC,EAAE4E,EAAE1C,EAAE,MAAM,CAACyC,CAAC,EAAExE,EAAE,QAAQoC,GAAGqC,EAAErC,GAAG,CAAC,EAAE,IAAIH,EAAE6hB,EAAE,WAAWrf,EAAED,EAAExC,CAAC,EAAE0C,EAAE3C,EAAE,MAAM,CAACH,CAAC,EAAE3B,EAAE,QAAQmC,GAAGsC,EAAEtC,GAAG,CAAC,EAAE,IAAIF,EAAE4hB,EAAE,WAAWpf,EAAE9C,EAAEC,CAAC,EAAEM,EAAElF,EAAEkE,EAAEc,EAAE,GAAGd,EAAEc,EAAE,EAAE,GAAG,EAAEC,EAAE,GAAG,EAAEA,EAAE,EAAE,EAAE,EAAEpC,EAAEgC,GAAGK,EAAE,KAAKpC,EAAE+B,GAAGK,EAAE,IAAI,CAAC,MAAM,CAACrC,EAAEC,EAAEb,CAAC,CAAC,CAAC,CAAC,IAAIovE,GAAGiD,GAAG,CAACt0E,EAAE,IAAIA,EAAE,CAAC,EAAEk1E,GAAGD,GAAG,CAACj1E,EAAE,EAAEE,EAAEI,KAAK,CAAC,KAAKN,EAAEE,EAAE,KAAK,EAAEI,CAAC,EAAE,EAAE60E,GAAGH,GAAG35D,GAAGg2D,GAAG6D,EAAE,EAAEE,GAAG,CAAC,WAAW/5D,GAAG,YAAY,MAAM,WAAW85D,EAAE,EAAE,SAAS7D,GAAGtxE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAEsmB,EAAE,cAAcvmB,CAAC,EAAE,EAAEumB,EAAE,oBAAoBtmB,EAAEL,CAAC,EAAE,QAAQ+B,EAAE,EAAEA,EAAEjC,EAAE,OAAOiC,IAAI,CAAC,IAAIC,EAAElC,EAAEiC,GAAG,GAAGC,EAAE,EAAE,MAAM,IAAI,MAAM,+BAA+B,EAAEA,GAAG3B,IAAI,EAAE,EAAE,EAAE2B,IAAI,EAAED,GAAG,EAAEC,IAAI,EAAE,CAAC,OAAO,CAAC,CAAC,SAASqvE,GAAGvxE,EAAE,EAAEE,EAAEI,EAAE,GAAG,CAAC,IAAIC,EAAEP,EAAE,MAAM,GAAG,EAAEA,EAAE,MAAM,GAAG,EAAEswB,GAAG,CAAC/vB,EAAEL,CAAC,EAAE,EAAE,KAAK,EAAE,QAAQ+B,EAAE,EAAEA,EAAE1B,EAAE0B,IAAI,QAAQC,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIC,EAAEnC,EAAE,IAAIiC,EAAEC,CAAC,EAAE,GAAGC,EAAE,EAAE,MAAM,IAAI,MAAM,+BAA+B,EAAEA,GAAGjC,IAAII,EAAE,EAAE,IAAI,EAAE2B,EAAEE,CAAC,EAAE,EAAE,KAAK,EAAE,EAAE,IAAI,EAAE,IAAIF,EAAEE,CAAC,EAAE,EAAE,IAAIF,EAAEC,CAAC,EAAED,EAAEE,CAAC,EAAE,EAAE,IAAI,EAAE,IAAIF,EAAEE,CAAC,EAAE,EAAEF,EAAEE,CAAC,EAAE,CAAC,OAAO,CAAC,CAAC,SAASkzE,GAAGr1E,EAAE,CAAC,MAAM,CAAC,EAAEE,EAAEI,IAAI,CAAC,IAAIC,EAAEsmB,EAAE,uBAAuB3mB,EAAE,EAAE,MAAM,EAAE,QAAQ,EAAE,EAAE,EAAE,EAAE,OAAO,EAAE,EAAEK,EAAE,GAAGP,EAAE,EAAE,GAAGM,CAAC,EAAE,OAAOC,CAAC,CAAC,CAAC,SAAS+0E,GAAGt1E,EAAE,EAAEE,EAAE,CAAC,MAAM,CAAC,CAAC,OAAOI,EAAE,MAAMC,EAAE,QAAQ,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,EAAED,EAAE,GAAG2wE,GAAG,EAAEjxE,CAAC,EAAE,EAAE,QAAQ,UAAUE,IAAI,SAAS,MAAM,IAAI,MAAM,sDAAsD,EAAE,IAAI+B,EAAE,EAAEC,EAAED,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOE,EAAE0kB,EAAE,cAAc,EAAE,KAAK,EAAEjkB,EAAE1C,GAAG,EAAE,MAAM2C,EAAEgkB,EAAE,kBAAkBjkB,EAAET,CAAC,EAAE,QAAQW,EAAE,EAAEA,EAAEX,EAAE,EAAEW,EAAED,EAAEC,GAAG,EAAEZ,EAAEY,GAAGvC,CAAC,EAAE,OAAO0B,EAAE,eAAe,EAAE,MAAMW,EAAEC,CAAC,CAAC,CAAC,CAAC,SAAS0yE,GAAGv1E,EAAE,EAAEE,EAAE,CAAC,MAAM,CAAC,CAAC,OAAOI,EAAE,MAAMC,EAAE,QAAQ,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,EAAED,EAAE,GAAG2wE,GAAG,EAAEjxE,CAAC,EAAE,EAAE,QAAQ,UAAUE,IAAI,SAAS,MAAM,IAAI,MAAM,sDAAsD,EAAE,IAAI+B,EAAE,EAAEC,EAAED,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOE,EAAEjC,GAAG,EAAE,MAAM0C,EAAE,EAAEV,EAAEC,EAAE5B,CAAC,EAAE,OAAO0B,EAAE,eAAe,EAAE,MAAME,EAAES,CAAC,CAAC,CAAC,CAAC,IAAI6uE,GAAG4D,GAAGr1E,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAEw1E,GAAGD,GAAG74D,GAAG+0D,EAAE,EAAEgE,GAAG,CAAC,WAAW/4D,GAAG,YAAY,MAAM,WAAW84D,EAAE,EAAE,SAAS9D,GAAG1xE,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEsmB,EAAE,kBAAkB3mB,EAAE2mB,EAAE,cAAc,CAAC,CAAC,EAAE,GAAGvmB,GAAGJ,IAAI,SAAS,CAAC,IAAI,EAAE,EAAEF,EAAE,QAAQ,GAAG,CAAC,IAAIiC,EAAE4kB,EAAE,cAAc,EAAE,KAAK,EAAEtmB,EAAE,IAAI,EAAE,KAAK,CAAC,EAAE,GAAG0B,CAAC,CAAC,CAAC,KAAK,CAAC,IAAI,EAAE,EAAEjC,EAAE,QAAQ,GAAG,CAAC,IAAIiC,EAAE/B,IAAI,SAASm6C,EAAE,uBAAuB,EAAE,IAAI,EAAE,EAAE,KAAKn4C,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAE,MAAM,GAAG,EAAEA,EAAE,CAAC,IAAIS,EAAET,EAAE,EAAE,GAAG,EAAE,QAAQU,EAAE,EAAEA,EAAE,EAAE,MAAM,GAAG,EAAEA,EAAEtC,EAAEqC,EAAEC,GAAGZ,EAAEC,IAAI,CAAC,GAAG,EAAE,MAAM,EAAE,CAAC,CAAC,CAAC,OAAO3B,CAAC,CAAC,IAAIoxE,GAAG2C,GAAG,CAACt0E,EAAE,IAAIA,IAAI,EAAE,EAAE,CAAC,EAAE01E,GAAGV,GAAGx2D,GAAGmzD,GAAG,KAAK,MAAM,EAAEgE,GAAG,CAAC,WAAWn3D,GAAG,YAAY,MAAM,WAAWk3D,EAAE,EAAM9D,GAAGyD,GAAGr1E,GAAG,KAAK,IAAIA,CAAC,CAAC,EAAE41E,GAAGL,GAAG92D,GAAGmzD,GAAG,SAAS,EAAEiE,GAAG,CAAC,WAAWp3D,GAAG,YAAY,MAAM,WAAWm3D,EAAE,EAAM/D,GAAGwD,GAAGr1E,GAAG,KAAK,MAAMA,CAAC,CAAC,EAAE81E,GAAGP,GAAG52D,GAAGkzD,EAAE,EAAEkE,GAAG,CAAC,WAAWp3D,GAAG,YAAY,MAAM,WAAWm3D,EAAE,EAAMhE,GAAGuD,GAAGr1E,GAAG,KAAK,MAAMA,CAAC,CAAC,EAAEg2E,GAAGT,GAAGx2D,GAAG+yD,EAAE,EAAEmE,GAAG,CAAC,WAAWl3D,GAAG,YAAY,MAAM,WAAWi3D,EAAE,EAAE,SAASjE,GAAG/xE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAE,CAAC,IAAIC,EAAEmuB,GAAG,CAAChwB,EAAE,CAAC,EAAEJ,CAAC,EAAE,QAAQ0C,EAAE,EAAEA,EAAEtC,EAAEsC,IAAI,CAAC,IAAIC,EAAE,CAAC,EAAEC,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAExC,EAAEwC,IAAI,CAAC,IAAIC,EAAEhD,EAAE4C,EAAErC,EAAEwC,GAAGD,GAAGE,EAAE,EAAED,GAAGF,EAAE,KAAKG,CAAC,CAAC,CAAC,GAAGF,EAAE,GAAGA,GAAGZ,EAAE,EAAE,MAAM,IAAI,MAAM,oBAAoBW,yBAAyBZ,GAAG,EAAE,QAAQc,EAAE,EAAEA,EAAE,EAAEA,IAAIZ,EAAE,OAAOS,EAAE,EAAEG,GAAG,EAAE,IAAI,GAAG,EAAE,WAAWD,EAAE,EAAEC,CAAC,CAAC,CAAC,CAAC,OAAOZ,CAAC,CAAC,SAAS6vE,GAAGhyE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEgwB,GAAGpwB,EAAEF,EAAE,KAAK,EAAE,QAAQO,EAAE,EAAEA,EAAED,EAAE,KAAK,EAAEC,EAAE,CAAC,IAAIyB,EAAE1B,EAAE,WAAWC,CAAC,EAAE,MAAM,EAAE0B,EAAED,EAAE,GAAGE,EAAEF,EAAE,GAAG,EAAE,EAAE,WAAW,CAACC,EAAEC,CAAC,CAAC,EAAEF,EAAE,GAAG,EAAE,OAAO,GAAG,IAAIY,EAAE5C,EAAE,WAAWgC,CAAC,EAAE,GAAGY,GAAGA,EAAE5C,EAAE,OAAO,SAASM,EAAE,OAAOC,GAAGP,EAAE,OAAO4C,GAAG,CAAC,OAAOtC,CAAC,CAAC,IAAI4xE,GAAGoC,GAAG,CAACt0E,EAAE,IAAIA,EAAE,EAAE,EAAE,CAAC,EAAEk2E,GAAGlB,GAAG51D,GAAG8yD,GAAG,KAAK,MAAM,EAAEiE,GAAG,CAAC,WAAW/2D,GAAG,YAAY,MAAM,WAAW82D,EAAE,EAAMjE,GAAGqC,GAAG,CAACt0E,EAAE,IAAIA,GAAG,EAAE,EAAE,CAAC,EAAEo2E,GAAGpB,GAAG31D,GAAG4yD,GAAG,KAAK,MAAM,EAAEoE,GAAG,CAAC,WAAWh3D,GAAG,YAAY,MAAM,WAAW+2D,EAAE,EAAMhE,GAAGkC,GAAG,CAACt0E,EAAE,IAAIA,EAAE,EAAE,EAAE,CAAC,EAAEs2E,GAAGtB,GAAGn1D,GAAGuyD,GAAG,KAAK,MAAM,EAAEmE,GAAG,CAAC,WAAW12D,GAAG,YAAY,MAAM,WAAWy2D,EAAE,EAAMnE,GAAGmC,GAAG,CAACt0E,EAAE,IAAIA,GAAG,EAAE,EAAE,CAAC,EAAEw2E,GAAGxB,GAAGl1D,GAAGqyD,GAAG,KAAK,MAAM,EAAEsE,GAAG,CAAC,WAAW32D,GAAG,YAAY,MAAM,WAAW02D,EAAE,EAAE,SAASnE,GAAGryE,EAAE,EAAEE,EAAE,CAAC,IAAII,GAAG,EAAEN,IAAIE,EAAE,GAAGK,EAAEsmB,EAAE,oBAAoB3mB,EAAE,SAAS,EAAEK,EAAE,GAAGP,EAAE,QAAQ,EAAE,EAAE,EAAEO,EAAE,OAAO,IAAIA,EAAE,GAAGA,EAAE,EAAE,GAAGD,EAAE,OAAOC,CAAC,CAAC,IAAI+xE,GAAG+C,GAAGr1E,GAAG,KAAK,IAAIA,CAAC,CAAC,EAAE02E,GAAGnB,GAAGv1D,GAAGsyD,EAAE,EAAEqE,GAAG,CAAC,WAAW32D,GAAG,YAAY,MAAM,WAAW02D,EAAE,EAAE,SAASnE,GAAGvyE,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEsmB,EAAE,uBAAuBvmB,EAAEumB,EAAE,cAAc3mB,CAAC,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEK,EAAE,OAAO,EAAE,EAAE,CAAC,IAAI,EAAE,EAAE,EAAE0B,EAAEjC,EAAE,GAAG,QAAQkC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAEnC,EAAE,EAAEkC,IAAI,OAAO,MAAMC,CAAC,GAAGA,EAAEF,KAAKA,EAAEE,EAAE,CAAC5B,EAAE,GAAG0B,CAAC,CAAC,OAAO1B,CAAC,CAAC,IAAIiyE,GAAG8B,GAAG,CAACt0E,EAAE,IAAI,KAAK,IAAIA,EAAE,CAAC,CAAC,EAAE42E,GAAG5B,GAAGr0D,GAAG6xD,EAAE,EAAEqE,GAAG,CAAC,WAAWl2D,GAAG,YAAY,MAAM,WAAWi2D,EAAE,EAAMnE,GAAG6B,GAAG,CAACt0E,EAAE,IAAI,KAAK,IAAIA,EAAE,CAAC,CAAC,EAAE82E,GAAG9B,GAAG7zD,GAAGsxD,EAAE,EAAEsE,GAAG,CAAC,WAAW51D,GAAG,YAAY,MAAM,WAAW21D,EAAE,EAAMpE,GAAG4B,GAAG,CAACt0E,EAAE,IAAIA,EAAE,CAAC,EAAEg3E,GAAG/B,GAAG,CAACj1E,EAAE,EAAEE,EAAEI,KAAK,CAAC,KAAKN,EAAEE,EAAE,EAAEI,EAAE,KAAKN,EAAEM,EAAE,EAAEJ,CAAC,EAAE,EAAE+2E,GAAGjC,GAAGzzD,GAAGmxD,GAAGsE,EAAE,EAAEE,GAAG,CAAC,WAAW31D,GAAG,YAAY,MAAM,WAAW01D,EAAE,EAAE,SAAStE,GAAG3yE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEumB,EAAE,kBAAkB,GAAG3mB,CAAC,EAAE,OAAOwyE,GAAG,CAAC,EAAE,EAAEpyE,EAAEN,EAAEE,CAAC,CAAC,CAAC,SAASi3E,GAAGn3E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,CAAC,EAAE,EAAE2wE,GAAG3wE,EAAE,KAAK,EAAE,IAAIC,EAAEL,EAAE,KAAK,IAAII,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE,CAAC,EAAEqyE,GAAGpyE,EAAED,EAAE,MAAMA,EAAE,KAAK,EAAE,OAAOJ,EAAE,eAAe,EAAEI,EAAE,MAAM,CAAC,CAAC,CAAC,IAAI82E,GAAG,CAAC,WAAW51D,GAAG,YAAY,MAAM,WAAW21D,EAAE,EAAMvE,GAAG0B,GAAG,CAACt0E,EAAE,IAAIA,IAAI,EAAE,EAAE,CAAC,EAAEq3E,GAAGrC,GAAGvzD,GAAGmxD,GAAG,KAAK,MAAM,EAAE0E,GAAG,CAAC,WAAW71D,GAAG,YAAY,MAAM,WAAW41D,EAAE,EAAE,SAASnD,GAAGl0E,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAE,EAAE,OAAO,EAAEsmB,EAAE,cAAc,CAAC,EAAE5kB,EAAE4kB,EAAE,eAAe,CAAC,EAAE3kB,EAAE2kB,EAAE,eAAetmB,CAAC,EAAE4B,EAAE0kB,EAAE,uBAAuB3mB,EAAE2mB,EAAE,cAActmB,CAAC,CAAC,EAAE,QAAQqC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAEgkB,EAAE,WAAWjkB,EAAE,EAAEX,CAAC,EAAEa,EAAE,IAAI,MAAMD,EAAE,MAAM,EAAE,QAAQG,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAIF,EAAEE,GAAGH,EAAEvC,EAAE0C,IAAI,IAAID,EAAE8jB,EAAE,WAAW/jB,EAAE,EAAEZ,CAAC,EAAEC,EAAEY,GAAG/C,EAAE4C,EAAE,CAAC,OAAOT,CAAC,CAAC,SAASo1E,GAAGv3E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAEL,EAAE+wE,GAAG1wE,EAAE,WAAW,EAAE,IAAI,EAAEA,EAAE,MAAM,OAAO0B,EAAE,IAAI,MAAM,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,IAAIA,EAAE,GAAG1B,EAAE,MAAM,EAAE,IAAI,IAAI2B,EAAE5B,EAAE,KAAK,IAAIC,EAAE,MAAM,EAAE,OAAO4B,EAAE+xE,GAAGhyE,EAAE3B,EAAE,MAAMA,EAAE,MAAM,EAAE0B,CAAC,EAAE,MAAM,CAAC,OAAO3B,EAAE,MAAM6B,EAAEF,EAAE1B,EAAE,KAAK,EAAE,MAAM0B,EAAE,MAAM1B,EAAE,KAAK,CAAC,CAAC,IAAIi3E,GAAG,CAAC,WAAWpyD,GAAG,YAAY,MAAM,WAAWmyD,EAAE,EAAE,SAAS1E,GAAG7yE,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAE85C,EAAE,0BAA0Br6C,EAAEM,CAAC,EAAE,EAAEoqB,GAAG,EAAE,OAAO,EAAEzoB,EAAE4kB,EAAE,oBAAoBA,EAAE,cAActmB,CAAC,EAAE,CAAC,EAAE2B,EAAE2kB,EAAE,cAAc,CAAC,EAAE,QAAQ1kB,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,CAAC,IAAIS,EAAET,EAAED,EAAEW,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAEZ,EAAE,EAAEY,EAAED,GAAG3C,EAAE0C,EAAEE,GAAGb,EAAEE,GAAGU,CAAC,CAAC,MAAM,CAAC,QAAQZ,EAAE,SAAS1B,EAAE,SAAS,CAAC,CAAC,CAAC,SAASk3E,GAAGz3E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE2wE,GAAG1wE,EAAE,MAAM,EAAE,IAAI0B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE2kB,EAAE,eAAe,EAAEtmB,EAAE,KAAK,EAAE4B,EAAEk4C,EAAE,mBAAmBn4C,EAAED,CAAC,EAAEW,EAAEV,EAAEW,EAAEtC,EAAEuC,EAAE,CAAC,EAAEX,GAAG,OAAOU,EAAE00E,GAAG,CAAC,OAAO,CAAC,EAAEh3E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAKiC,CAAC,CAAC,CAAC,EAAEW,EAAE,KAAKD,CAAC,EAAED,EAAEy3C,EAAE,iBAAiBz3C,EAAE,OAAOX,CAAC,GAAG,IAAIc,EAAE7C,EAAE,KAAK,IAAI2C,EAAE,MAAM,EAAE,OAAO,CAAC,QAAQG,EAAE,SAASkB,EAAE,SAAS,CAAC,EAAE2uE,GAAGhwE,EAAE,MAAMA,EAAE,MAAME,EAAEH,CAAC,EAAE2E,EAAErD,EAAE,OAAO,IAAIqD,EAAE8yC,EAAE,qBAAqBn2C,EAAEhC,CAAC,GAAGY,EAAE,QAAQiC,GAAG7E,EAAE,8BAA8B6E,CAAC,CAAC,EAAE7E,EAAE,eAAeqH,EAAE,EAAEvE,CAAC,CAAC,CAAC,IAAI00E,GAAG,CAAC,WAAWt1D,GAAG,YAAY,MAAM,WAAWq1D,EAAE,EAAE,SAASE,GAAG33E,EAAE,EAAEE,EAAE,CAACF,EAAE,QAAQ,CAACM,EAAEC,IAAI,CAAC,GAAGD,EAAE,GAAGA,GAAGJ,EAAE,CAAC,IAAI,EAAE2mB,EAAE,WAAWtmB,EAAE,EAAE,OAAOsmB,EAAE,eAAe,CAAC,CAAC,EAAE,KAAK,GAAG,EAAE,MAAM,IAAI,MAAM,WAAW,QAAQvmB,mBAAmBJ,IAAI,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS03E,GAAG53E,EAAE,EAAE,CAAC,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAEE,GAAGK,EAAEL,IAAIF,EAAE,OAAO,EAAE,EAAEA,EAAEE,EAAE,GAAG,OAAO,GAAGI,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,gCAAgC,EAAE,GAAGA,EAAE,GAAG,EAAE,MAAM,IAAI,MAAM,oCAAoC,EAAE,GAAGA,EAAEA,EAAE,OAAO,GAAGC,EAAE,MAAM,IAAI,MAAM,0CAA0C,EAAE,QAAQ,EAAE,EAAE,EAAED,EAAE,OAAO,EAAE,EAAE,GAAGA,EAAE,EAAE,GAAGA,EAAE,GAAG,MAAM,IAAI,MAAM,iDAAiD,CAAC,CAAC,CAAC,SAASu3E,GAAG73E,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE,OAAO,EAAEL,EAAE,OAAO+B,EAAE,IAAI,MAAM,CAAC,EAAE,KAAK,IAAI,EAAE,IAAI,IAAI,CAAC,CAAC,CAAC,EAAE21E,GAAG13E,EAAEI,CAAC,EAAE,IAAI4B,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAE,EAAEA,EAAE,CAACD,GAAG,EAAEC,GAAG,IAAIS,EAAE,EAAET,EAAE,GAAG,QAAQU,EAAE,EAAEA,EAAEX,EAAE,EAAE,EAAEW,EAAEZ,EAAEE,GAAG,KAAKU,EAAED,CAAC,CAAC,CAAC,QAAQT,EAAE,EAAEA,EAAEnC,EAAE,OAAO,EAAEmC,EAAE,CAAC,IAAIS,EAAE5C,EAAEmC,GAAGU,EAAE7C,EAAEmC,GAAG,EAAE,QAAQW,EAAE,EAAEA,EAAE5C,EAAE,OAAO,EAAE4C,EAAE,CAAC,IAAIC,EAAE7C,EAAE4C,GAAGE,EAAEF,EAAE,EAAE,OAAO,EAAE,GAAGE,GAAG,EAAE,CAAC,IAAIkB,EAAEjC,EAAEe,GAAG,EAAEkB,EAAEA,EAAE,OAAO,GAAGnB,EAAEH,GAAG,QAAQ2E,EAAE3E,EAAE2E,EAAE1E,EAAE,EAAE0E,EAAEtF,EAAEe,GAAG,KAAKD,EAAEwE,EAAE,GAAG,CAAC,CAAC,CAAC3E,EAAEG,EAAEH,GAAGC,EAAEE,EAAEF,EAAE,CAACA,IAAID,IAAIrC,EAAE,KAAK,CAACqC,EAAEC,CAAC,CAAC,EAAE,GAAGA,EAAED,EAAE,CAAC,MAAM,CAAC,UAAUX,EAAE,YAAY1B,EAAE,UAAU,CAAC,CAAC,CAAC,SAASu3E,GAAG93E,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAEE,GAAG,OAAOK,EAAEsmB,EAAE,kBAAkB,QAAQvmB,CAAC,EAAE,EAAE,KAAKC,CAAC,EAAEP,EAAEE,GAAG,QAAQ,CAAC,EAAE,IAAIK,EAAE,GAAG,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,SAASw3E,GAAG/3E,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,MAAM,EAAE,CAAC,EAAE,KAAKE,EAAE,OAAO,GAAGA,EAAE,KAAK,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAEN,EAAE,OAAOM,IAAIJ,EAAE,EAAE,IAAIF,EAAEM,GAAG,OAAOJ,CAAC,CAAC,SAAS83E,GAAGh4E,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEw3E,GAAG,EAAE,CAAC,EAAE,GAAG91E,EAAE81E,GAAG,EAAE,CAAC,EAAE,GAAG71E,EAAE,EAAE,QAAQC,KAAKjC,EAAE,QAAQ0C,EAAET,EAAE,GAAGS,EAAET,EAAE,GAAG,EAAES,EAAE,CAAC,QAAQC,EAAE,EAAEA,EAAEvC,EAAE,EAAEuC,EAAEtC,EAAE2B,EAAED,EAAEY,GAAG7C,EAAE4C,EAAE,EAAEC,GAAG,EAAEX,CAAC,CAAC,CAAC,SAAS+1E,GAAGj4E,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAE,EAAE,MAAM,EAAE,EAAE,GAAGA,EAAE,IAAI,EAAEsmB,EAAE,kBAAkB3mB,EAAE2mB,EAAE,cAAc,CAAC,CAAC,EAAE5kB,EAAEjC,EAAE,OAAOkC,EAAED,IAAI,EAAE,EAAEA,EAAE,EAAE,GAAG,OAAO+1E,GAAGh4E,EAAE,EAAEM,EAAE4B,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,SAAS4wE,GAAG9yE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAE,CAAC,GAAGjC,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,sCAAsC,EAAE,GAAG,EAAE,GAAG,SAAS,EAAE,MAAM,IAAI,MAAM,mCAAmC,EAAE,IAAIkC,EAAE,EAAE,GAAG,GAAG,EAAE,GAAGy1E,GAAG,EAAE,EAAEz1E,CAAC,EAAE5B,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,6BAA6B,EAAE,IAAI6B,EAAE7B,EAAE,GAAG,CAAC,UAAUsC,EAAE,YAAYC,EAAE,UAAUC,CAAC,EAAE+0E,GAAG,EAAE,EAAE73E,EAAEmC,CAAC,EAAEY,EAAE+0E,GAAGl1E,CAAC,EAAEI,EAAEi1E,GAAG/3E,EAAEI,EAAEC,EAAEsC,EAAEC,CAAC,EAAE,MAAM,CAACC,EAAEC,EAAE,GAAGA,EAAE,EAAE,CAAC,CAAC,IAAIk1E,GAAG79B,EAAE,iBAAiB89B,GAAG,KAAK,CAAC,YAAYr3E,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAEC,EAAEC,EAAE,EAAEU,EAAE,CAAC,KAAK,MAAM9B,EAAE,KAAK,WAAWZ,EAAE,KAAK,OAAO,EAAE,KAAK,YAAYK,EAAE,KAAK,YAAYwB,EAAE,KAAK,aAAaC,EAAE,KAAK,kBAAkBC,EAAE,KAAK,mBAAmBC,EAAE,KAAK,yBAAyB,EAAE,KAAK,kBAAkBm4C,EAAE,2BAA2Bz3C,CAAC,EAAE,KAAK,WAAWy3C,EAAE,cAAc,KAAK,iBAAiB,CAAC,CAAC,+BAA+Bv5C,EAAE,CAAC,OAAO,KAAK,kBAAkB,KAAKo3E,GAAG,eAAe,KAAK,kBAAkBp3E,EAAE,GAAG,KAAK,kBAAkBA,EAAE,CAAC,sBAAsBA,EAAE,CAAC,OAAO,KAAK,kBAAkB,KAAKo3E,GAAG,eAAe,KAAK,mBAAmBp3E,EAAE,GAAG,KAAK,mBAAmBA,EAAE,CAAC,YAAYA,EAAE,CAAC,IAAIZ,EAAE,KAAK,sBAAsBY,EAAE,CAAC,EAAE,OAAO,KAAK,+BAA+BA,EAAE,CAAC,EAAE,CAAC,KAAKo3E,GAAG,aAAa,OAAOC,GAAG,sBAAsBj4E,CAAC,EAAE,KAAKg4E,GAAG,WAAW,OAAOC,GAAG,oBAAoBj4E,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,gCAAgCg4E,GAAG,KAAK,+BAA+Bp3E,EAAE,CAAC,IAAI,CAAC,CAAC,CAAC,OAAO,oBAAoBA,EAAE,CAAC,IAAIZ,EAAEY,EAAE,OAAO,GAAGZ,IAAI,GAAGA,IAAI,EAAE,MAAO,GAAE,IAAI,EAAE,EAAE,QAAQK,EAAE,EAAEA,EAAEL,EAAE,EAAE,EAAEK,EAAE,CAAC,IAAIwB,EAAEjB,EAAEP,EAAE,GAAGO,EAAEP,GAAGwB,EAAE,IAAI,EAAEA,EAAE,CAAC,OAAO,CAAC,CAAC,OAAO,sBAAsBjB,EAAE,CAAC,IAAIZ,EAAEY,EAAE,OAAO,GAAGZ,IAAI,EAAE,MAAO,GAAE,IAAI,EAAE,EAAEK,EAAEO,EAAE,GAAGiB,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE9B,EAAE,EAAE8B,EAAE,CAAC,IAAIC,EAAEnB,EAAEkB,GAAGC,IAAI1B,IAAIA,EAAE0B,EAAEF,EAAE,KAAK,IAAIC,EAAE,EAAED,CAAC,EAAE,EAAEC,EAAE,CAAC,OAAO,KAAK,IAAI9B,EAAE,EAAE6B,CAAC,CAAC,CAAC,sBAAsBjB,EAAEZ,EAAE,EAAE,GAAG,CAAC,GAAGA,EAAE,SAAS,EAAE,CAAC,GAAGY,EAAE,KAAK,GAAG,MAAM,CAAC,EAAE,MAAM,IAAI,MAAM,gFAAgF,CAAC,CAAC,OAAOs3E,GAAGt3E,EAAE,CAAC,CAAC,CAAC,oBAAoBA,EAAE,CAAC,IAAIZ,EAAE,KAAK,YAAY,EAAE,KAAK,kBAAkBm6C,EAAE,0BAA0B,EAAEn6C,CAAC,EAAE,IAAIK,EAAE,KAAK,sBAAsB,KAAK,MAAM,KAAK,UAAU,EAAEyB,EAAEq4C,EAAE,kCAAkC,KAAK,WAAW95C,EAAEL,CAAC,EAAE8B,EAAE,GAAG,IAAIA,EAAE,GAAGlB,GAAG,QAAQmB,EAAE,EAAEA,GAAG,KAAK,WAAW,EAAEA,EAAED,EAAEC,GAAG,IAAID,EAAEC,GAAG,KAAK,YAAYA,CAAC,GAAG,OAAOD,CAAC,CAAC,gCAAgClB,EAAEZ,EAAE,EAAE,CAAC,IAAIK,EAAE,KAAK,IAAIO,EAAE,CAAC,EAAEiB,EAAE,CAAC,EAAEC,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE1B,EAAE,EAAE0B,EAAED,GAAG9B,EAAE6B,EAAE,KAAKC,CAAC,EAAE,QAAQC,EAAE1B,EAAE0B,EAAEnB,EAAE,EAAEmB,EAAEF,EAAE,KAAK,EAAE,EAAE,OAAO8kB,EAAE,OAAO9kB,EAAE,SAASjB,EAAE,IAAI,yDAAyD,EAAEiB,CAAC,CAAC,6BAA6BjB,EAAEZ,EAAE,EAAEK,EAAE,CAAC,IAAIwB,EAAEjB,EAAE,OAAOkB,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEF,EAAE,EAAE,EAAEE,EAAE,CAAC,IAAIC,EAAEpB,EAAEmB,EAAE,GAAGnB,EAAEmB,GAAG,EAAE,KAAK,IAAI1B,EAAE2B,CAAC,EAAEU,EAAE1C,EAAE+B,GAAGW,IAAI,KAAK,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAE,EAAE,EAAE,EAAEZ,EAAE,KAAKY,CAAC,EAAEA,GAAG,EAAE,QAAQ,EAAE,EAAE,EAAEV,EAAE,EAAE,EAAE,EAAEF,EAAE,KAAK,EAAE,CAAC,CAAC,GAAGD,EAAE,GAAGC,EAAE,SAASlB,EAAEiB,EAAE,GAAG,MAAM,IAAI,MAAM,yBAAyB,EAAE,OAAOC,CAAC,CAAC,+BAA+BlB,EAAEZ,EAAE,EAAEK,EAAE,CAAC,IAAIwB,EAAEjB,EAAE,OAAOkB,EAAE,CAAC,EAAE,GAAGD,IAAI,EAAE,MAAM,CAAC,EAAE,IAAIE,EAAE,EAAEC,EAAEpB,EAAE,GAAG,GAAGoB,GAAGhC,EAAE,OAAO,MAAM,IAAI,MAAM,yBAAyBgC,6BAA6BhC,EAAE,QAAQ,EAAE,IAAI,EAAEA,EAAEgC,GAAGF,EAAE,KAAK,CAAC,EAAE,QAAQY,EAAE,EAAEA,EAAEb,EAAE,EAAEa,EAAE,CAAC,IAAI,EAAE9B,EAAE8B,GAAG,GAAG,IAAIV,EAAE,GAAG,IAAI,EAAED,EAAEA,EAAE1B,EAAE,GAAG,EAAE,EAAE,QAAQ,CAAC,GAAG0B,EAAE,EAAEC,EAAE,EAAE,GAAGhC,EAAE,OAAO,MAAM,IAAI,MAAM,sBAAsB,4BAA4BA,EAAE,QAAQ,EAAE,EAAEA,EAAE,EAAE,CAAC8B,EAAE,KAAK,CAAC,CAAC,CAAC,GAAGA,EAAE,SAASlB,EAAE,OAAO,MAAM,IAAI,MAAM,kBAAkB,EAAE,OAAOkB,CAAC,CAAC,qBAAqBlB,EAAEZ,EAAE,EAAEK,EAAE,CAAC,IAAIwB,EAAE,KAAK,sBAAsBjB,CAAC,EAAEkB,EAAE,KAAK,+BAA+BlB,CAAC,EAAE,OAAOkB,EAAE,CAAC,KAAKk2E,GAAG,aAAa,OAAO,KAAK,+BAA+Bn2E,EAAE7B,EAAE,EAAEK,CAAC,EAAE,KAAK23E,GAAG,WAAW,GAAGn2E,EAAE,OAAO,EAAE7B,EAAE,OAAO,MAAM,IAAI,MAAM,mDAAmD6B,EAAE,OAAO,OAAO7B,EAAE,QAAQ,EAAE,OAAO,KAAK,6BAA6B6B,EAAE7B,EAAE,EAAEK,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,+BAA+B23E,GAAGl2E,IAAI,CAAC,CAAC,CAAC,uBAAuB,CAAC,IAAIlB,EAAE,KAAK,mBAAmB,GAAG,GAAG,KAAK,kBAAkB,SAAS,EAAE,MAAM,IAAI,MAAM,+BAA+B,EAAE,IAAIZ,EAAE,KAAK,kBAAkB,GAAG,OAAOA,EAAE,CAAC,KAAKg4E,GAAG,eAAe,OAAOp3E,EAAE,GAAG,KAAKo3E,GAAG,aAAa,MAAM,IAAI,MAAM,gDAAgD,EAAE,KAAKA,GAAG,WAAW,OAAO,KAAK,yBAAyB,GAAG,GAAG,EAAE,QAAQ,MAAM,IAAI,MAAM,sBAAsBA,GAAGh4E,IAAI,CAAC,CAAC,CAAC,SAAS,CAAC,GAAG,KAAK,mBAAmB,GAAG,QAAQ,EAAE,MAAM,IAAI,MAAM,sEAAsE,EAAE,IAAI,EAAE,KAAK,sBAAsB,EAAEI,EAAE,KAAK,oBAAoB,CAAC,EAAEC,EAAE,IAAI,MAAM,KAAK,WAAW,CAAC,EAAEA,EAAEA,EAAE,OAAO,GAAG,EAAE,QAAQ2B,EAAE3B,EAAE,OAAO,EAAE2B,GAAG,EAAE,EAAEA,EAAE3B,EAAE2B,GAAG3B,EAAE2B,EAAE,GAAG5B,EAAE4B,EAAE,GAAG,IAAIH,EAAEq2E,GAAG93E,EAAE,EAAE,EAAE0B,EAAE6kB,EAAE,kBAAkB,KAAK,YAAYA,EAAE,cAAc9kB,CAAC,CAAC,EAAE,GAAGxB,EAAE,GAAGD,EAAE,GAAG,EAAE,CAAC,IAAI4B,EAAE,KAAK,gCAAgC,EAAE3B,EAAE,GAAGD,EAAE,EAAE,EAAE,QAAQ6B,EAAE,EAAEA,GAAG,KAAK,WAAW,EAAEA,EAAED,EAAE,KAAK,qBAAqBC,EAAE,EAAED,EAAE3B,EAAE4B,GAAG7B,EAAE6B,EAAE,EAAE,KAAK,UAAU,KAAK,WAAWD,EAAEF,EAAED,CAAC,CAAC,CAAC,MAAM,CAACA,EAAEC,CAAC,CAAC,CAAC,UAAUlB,EAAEZ,EAAE,EAAEK,EAAE,CAAC,GAAG,EAAE,SAAS,EAAE,OAAO,IAAIwB,EAAE,KAAK,OAAOC,EAAE,EAAEC,EAAE1B,EAAE,MAAM,EAAE0B,EAAEA,EAAE,MAAMnB,EAAE,CAAC,EAAE,IAAIoB,EAAE2kB,EAAE,cAAc5kB,CAAC,EAAE,EAAE/B,EAAE,OAAO0C,EAAE,KAAK,aAAa,GAAGA,EAAE,SAASV,GAAGU,EAAE,SAAS,EAAE,CAAC,IAAII,EAAE,KAAK,kBAAkBwwB,EAAE,IAAI,CAAC,IAAItvB,EAAE+3B,EAAEr5B,EAAEI,CAAC,EAAEJ,EAAEo7B,GAAG95B,EAAEjC,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,IAAI,EAAE,EAAEa,EAAE,EAAEC,EAAE,EAAE,QAAQC,EAAE,EAAEA,GAAG,EAAE,EAAEA,EAAE,CAAC,IAAIkB,EAAElB,EAAE,EAAE9C,EAAE8C,GAAG,GAAG,GAAGkB,IAAInB,EAAE,CAAC,EAAEA,EAAE,QAAQ,CAAC,GAAGD,EAAEC,EAAE,CAAC,IAAIoB,EAAEpC,EAAE,SAAS,EAAEG,CAAC,EAAEqF,EAAEvF,EAAE,SAASc,EAAEZ,CAAC,EAAE,GAAGa,EAAED,GAAGZ,EAAEm2E,GAAG9wE,EAAEpD,EAAE,CAAC,CAAC,CAAC,GAAGnB,GAAG,EAAE,CAAC,IAAImB,EAAE,EAAE,OAAOD,EAAE,KAAK,MAAMC,EAAEjC,CAAC,CAAC,CAAC,GAAGgC,EAAEnB,EAAE,GAAG,KAAK,aAAa,SAAS,EAAEf,EAAE,SAASe,EAAEb,EAAEgC,EAAEhC,CAAC,EAAE,KAAK,KAAK,aAAa,EAAE,EAAEa,EAAEmB,MAAO,MAAKA,EAAEnB,GAAG,CAAC,IAAIoB,EAAEnC,EAAE,MAAMe,EAAEb,CAAC,EAAEm2E,GAAGl0E,EAAEvB,EAAEV,CAAC,EAAE,EAAEa,CAAC,CAACmB,EAAE,GAAG,EAAElB,EAAE,EAAEF,EAAEC,IAAI,EAAEC,EAAEF,EAAEC,EAAEA,EAAED,EAAE,EAAE,CAAC,CAAC,EAAE,SAASu1E,GAAGr4E,EAAE,EAAEE,EAAE,CAAC,QAAQI,EAAE,EAAEA,EAAEJ,EAAEI,IAAIN,EAAEM,GAAG,EAAEA,EAAE,CAAC,SAAS83E,GAAGp4E,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQI,KAAKN,EAAE,CAAC,GAAGM,EAAE,EAAE,CAAC,GAAG,CAAC,EAAE,MAAM,IAAI,MAAM,aAAaA,gBAAgB,EAAE,GAAGA,EAAE,GAAG,MAAM,IAAI,MAAM,aAAaA,iBAAiB,EAAEA,EAAE,EAAE,CAACJ,EAAE,KAAKI,CAAC,CAAC,CAAC,OAAOJ,CAAC,CAAC,SAAS6yE,GAAG/yE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAE,CAAC,OAAO,IAAIg2E,GAAGn4E,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,CAAC,EAAE,QAAQ,CAAC,CAAC,SAAS6wE,GAAGhzE,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEP,IAAI,EAAE,EAAEA,EAAE,GAAGE,EAAE,EAAE,EAAE,EAAEF,GAAGE,EAAE,EAAE,GAAGK,GAAG,GAAG,EAAE,OAAOsmB,EAAE,oBAAoB,EAAEvmB,CAAC,EAAE,IAAI2B,EAAE,KAAK,IAAI,KAAK,MAAM,EAAEjC,GAAGE,CAAC,CAAC,EAAEgC,EAAE2kB,EAAE,oBAAoB5kB,EAAE3B,CAAC,EAAE,EAAEN,GAAGE,IAAI,IAAIA,EAAE,IAAIgC,EAAE,GAAGlC,EAAE,QAAQmC,EAAE,EAAEA,EAAED,EAAE,OAAOC,IAAID,EAAEC,GAAGD,EAAEC,EAAE,GAAGjC,EAAE,OAAOgC,CAAC,CAAC,IAAI+wE,GAAGoC,GAAGr1E,GAAG,EAAE,KAAK,KAAKA,CAAC,CAAC,EAAEs4E,GAAG/C,GAAGpyD,GAAG8vD,EAAE,EAAEsF,GAAG,CAAC,WAAWp1D,GAAG,YAAY,MAAM,WAAWm1D,EAAE,EAAE,SAASpF,GAAGlzE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAE,CAAC,IAAIS,EAAE,CAACtC,EAAEC,EAAEA,CAAC,EAAEsC,EAAE7C,EAAE,OAAO8C,EAAE,EAAE,OAAO,GAAGxC,IAAI,EAAE,OAAOgwB,GAAGpwB,EAAE,EAAE,KAAK,EAAE,IAAI6C,EAAEutB,GAAG1tB,EAAE,EAAE,KAAK,EAAE,OAAOV,GAAG,UAAU,OAAOA,GAAG,SAASa,EAAE,OAAO,KAAKb,CAAC,EAAE,OAAOA,GAAG,WAAWa,EAAE,OAAO,KAAK,CAACb,CAAC,EAAE,QAAQc,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIkB,EAAE,CAAC,EAAE,EAAE,EAAE,QAAQqD,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIxC,EAAElC,EAAEG,EAAE,EAAEuE,GAAGrD,EAAE,KAAKa,CAAC,EAAE,GAAGA,EAAE9C,EAAEsF,EAAE,CAAC,GAAG,EAAE,GAAG,GAAGjH,EAAEC,EAAE,MAAM,IAAI,MAAM,oBAAoB2D,yBAAyBhE,GAAG,EAAE,QAAQqH,EAAE,EAAEA,EAAEhH,EAAEgH,IAAIpF,EAAEY,EAAE,OAAO,EAAExC,EAAEgH,IAAIzE,EAAEE,EAAEzC,EAAEgH,GAAGxE,EAAE,OAAO,EAAExC,EAAEgH,GAAG,EAAE,OAAO,EAAEzE,EAAE,GAAGA,EAAEE,EAAEzC,EAAEgH,EAAE,CAAC,OAAOxE,CAAC,CAAC,IAAIowE,GAAGkC,GAAGr1E,GAAG,GAAG,EAAE,KAAK,IAAI,CAACA,CAAC,EAAE,EAAEw4E,GAAGlD,GAAG1xD,GAAG5jB,GAAG,GAAG,EAAE,KAAK,IAAI,CAACA,CAAC,EAAE,EAAEy4E,GAAG,CAAC,WAAW70D,GAAG,YAAY,MAAM,WAAW40D,EAAE,EAAE,SAASnF,GAAGrzE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAE41B,GAAG,iBAAiB71B,EAAE,EAAEJ,CAAC,EAAE,EAAE2mB,EAAE,cAAc3mB,CAAC,EAAE+B,EAAE4kB,EAAE,eAAevmB,CAAC,EAAE,GAAG,EAAE,CAAC,IAAIuC,EAAEszB,GAAG,kBAAkB,EAAEl0B,CAAC,EAAE,OAAO1B,IAAI,SAASP,EAAE,MAAM6C,EAAEA,EAAE,CAAC,EAAE7C,EAAE,SAAS6C,EAAEA,EAAE,CAAC,CAAC,CAAC,IAAIX,EAAE3B,IAAI,SAAS85C,EAAE,uBAAuBr6C,CAAC,EAAEA,EAAEmC,EAAEmuB,GAAGhwB,EAAEC,EAAE2B,CAAC,EAAEU,EAAE0tB,GAAGpwB,EAAEK,CAAC,EAAE,QAAQsC,EAAE,EAAEA,EAAED,EAAE,KAAK,EAAEC,EAAE,CAAC,IAAIC,EAAEF,EAAE,WAAWC,CAAC,EAAEE,EAAED,EAAE,IAAI,CAACE,EAAEkB,IAAIlB,EAAE,EAAEkB,EAAE,EAAEtB,EAAE,IAAIT,EAAE,IAAI,GAAGY,CAAC,EAAE,GAAGD,CAAC,CAAC,CAAC,OAAOvC,IAAI,SAAS85C,EAAE,uBAAuBz3C,EAAE,MAAM,EAAEA,EAAE,MAAM,CAAC,SAAS81E,GAAG14E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,KAAK,CAAC,EAAED,EAAE2wE,GAAG1wE,EAAE,OAAO,EAAE,GAAG,CAAC0B,EAAEC,CAAC,EAAEi0B,GAAG,iBAAiB51B,EAAE,EAAE,CAAC,EAAE41B,GAAG,kBAAkB51B,EAAE0B,EAAEC,CAAC,EAAE,IAAIC,EAAEjC,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOqC,EAAEywE,GAAGlxE,EAAEF,EAAEC,EAAE3B,EAAE,MAAMA,EAAE,KAAK,EAAE,OAAOL,EAAE,eAAegC,EAAE3B,EAAE,MAAMqC,CAAC,CAAC,CAAC,IAAI+1E,GAAG,CAAC,WAAWn1D,GAAG,YAAY,MAAM,WAAWk1D,EAAE,EAAE,SAASpF,GAAGtzE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE,CAAC,IAAI0B,EAAE,EAAE,GAAGC,EAAE,EAAE,GAAGC,EAAE,IAAI,MAAMD,CAAC,EAAEU,EAAE,IAAI,MAAMX,CAAC,EAAEY,EAAE,EAAE,GAAG,GAAGX,IAAI,EAAE,CAAC,GAAGD,IAAI,EAAE,MAAM,IAAI,MAAMo4C,EAAE,gDAAgDp4C,CAAC,CAAC,EAAE,IAAI,EAAE4kB,EAAE,kBAAkB3mB,EAAE,CAAC,EAAEqH,EAAEsf,EAAE,kBAAkBtmB,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,CAAC,EAAEsC,CAAC,EAAE0E,EAAEpF,EAAES,CAAC,CAAC,CAAC,IAAIE,EAAE,GAAGC,EAAE,EAAEC,EAAE,IAAI,MAAMd,CAAC,EAAE,KAAK,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAED,EAAE,EAAE,EAAE,CAAC,IAAIsF,EAAEvH,EAAE,EAAE6C,GAAG,GAAG0E,EAAE,EAAE,MAAM,IAAI,MAAM8yC,EAAE,gDAAgD,EAAE9yC,CAAC,CAAC,EAAE,GAAGA,GAAGrF,EAAE,MAAM,IAAI,MAAMm4C,EAAE,kDAAkD,EAAE9yC,EAAErF,CAAC,CAAC,EAAE,EAAEc,EAAEuE,GAAGzE,EAAEA,GAAGyE,GAAGxE,EAAEA,EAAEwE,CAAC,CAAC,IAAIrD,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAEhC,EAAE,EAAE,EAAE,CAAC,IAAIqF,EAAEvE,EAAE,KAAK,EAAEb,EAAE,GAAGoF,EAAErD,EAAEA,GAAG,CAACqD,EAAEvE,EAAE,GAAG,KAAK,IAAIA,EAAE,GAAG,CAAC,EAAE,EAAE,IAAIA,EAAE,IAAIA,EAAE,EAAE,GAAG,CAAC,GAAGkB,GAAGpB,EAAE,CAAC,IAAI,EAAE9C,EAAEuH,EAAEjH,EAAE,QAAQyE,EAAE,EAAEA,EAAE9C,EAAE,EAAE8C,EAAEnC,EAAEmC,GAAGA,EAAE,MAAM,CAAC,EAAE,CAAC9C,EAAEY,CAAC,EAAE0E,EAAEpF,EAAES,CAAC,CAAC,KAAK,CAAC,IAAI,EAAEI,EAAEd,EAAE,GAAGqF,EAAEsf,EAAE,kBAAkB3mB,EAAE,EAAE2C,CAAC,EAAEkC,EAAE8hB,EAAE,kBAAkBtmB,EAAE,CAAC,EAAEoE,EAAE,IAAI,MAAMzC,CAAC,EAAE,KAAK,CAAC,EAAE,QAAQ0C,EAAE,EAAEA,EAAE3C,EAAE,EAAE2C,EAAE,CAAC,IAAIC,EAAE7E,EAAE4E,EAAE/B,GAAGiC,EAAEH,EAAEE,GAAG2C,GAAG3C,IAAI,EAAE,EAAE7B,EAAE6B,EAAE,IAAIC,EAAEH,EAAEE,KAAK,QAAQG,EAAE,EAAEA,EAAEnC,EAAE,EAAEmC,EAAEuC,EAAEC,EAAE3E,EAAEmC,GAAGhF,EAAE4E,EAAE/B,EAAEmC,GAAGD,EAAEyC,GAAGlH,EAAEsE,GAAGhC,EAAEgC,GAAG4C,CAAC,CAAC,QAAQ5C,EAAE,EAAEA,EAAE1C,EAAE,EAAE0C,EAAE,GAAGD,EAAEC,KAAK,EAAE,CAAC,IAAIE,EAAEF,IAAI,EAAE,EAAE5B,EAAE4B,EAAE,GAAG2C,EAAEzC,EAAEjC,EAAE,GAAG+B,EAAE,QAAQ4C,EAAE,EAAEA,EAAE3E,EAAE,EAAE2E,EAAED,EAAEzC,EAAEjC,EAAE2E,GAAG,EAAEzC,EAAED,GAAG,CAAC,CAAC,MAAM,CAACyC,EAAE,CAAC,EAAE1E,CAAC,EAAEkC,EAAE5C,EAAES,CAAC,CAAC,CAAC,CAAC,SAAS2wE,GAAGvzE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAEsmB,EAAE,cAAcvmB,CAAC,EAAE,EAAE,EAAE,GAAG2B,EAAE1B,EAAE,OAAO2B,EAAE,CAAC,EAAEC,EAAE,EAAES,EAAE,GAAG,QAAQuB,EAAE,EAAEA,EAAElC,EAAE,EAAEkC,EAAE,CAAC,IAAIoD,EAAEhH,EAAE4D,GAAG,GAAGoD,IAAI,GAAG,CAAC,GAAG3E,IAAI,GAAG,MAAM,IAAI,MAAMy3C,EAAE,yDAAyDz3C,EAAEuB,CAAC,CAAC,EAAEvB,EAAEuB,EAAEjC,EAAE,KAAK,CAAC,CAAC,KAAK,CAAC,GAAGqF,EAAE,EAAE,MAAM,IAAI,MAAM8yC,EAAE,8CAA8Cl2C,EAAEoD,CAAC,CAAC,EAAEpF,GAAGoF,EAAErF,EAAE,KAAKqF,CAAC,CAAC,CAAC,CAAC,GAAG3E,IAAI,GAAG,CAAC,GAAGT,GAAG,EAAE,MAAM,IAAI,MAAMk4C,EAAE,qDAAqD,CAAC,EAAE,IAAIl2C,EAAE,KAAK,MAAM,EAAEhC,CAAC,EAAE,GAAGA,EAAEgC,IAAI,EAAE,MAAM,IAAI,MAAMk2C,EAAE,gDAAgD/5C,EAAE4B,CAAC,CAAC,EAAEA,EAAEU,GAAGuB,CAAC,CAAC,GAAG0iB,EAAE,cAAc3kB,CAAC,IAAI,EAAE,MAAM,IAAI,MAAMm4C,EAAE,gDAAgD/5C,EAAE4B,CAAC,CAAC,EAAE,IAAIY,EAAExC,EAAE,OAAOyC,EAAE,CAAC,EAAE,GAAGD,EAAE,EAAE,CAACC,EAAED,EAAE,GAAG,EAAE,QAAQqB,EAAErB,EAAE,EAAEqB,GAAG,EAAE,EAAEA,EAAEpB,EAAEoB,GAAGpB,EAAEoB,EAAE,GAAG7D,EAAE6D,EAAE,EAAE,CAAC,IAAInB,EAAE,CAAC,EAAE,GAAGf,EAAE,EAAE,CAACe,EAAEf,EAAE,GAAG,EAAE,QAAQkC,EAAElC,EAAE,EAAEkC,GAAG,EAAE,EAAEA,EAAEnB,EAAEmB,GAAGnB,EAAEmB,EAAE,GAAGjC,EAAEiC,EAAE,EAAE,CAAC,IAAID,EAAE2iB,EAAE,kBAAkB3mB,EAAE,EAAE+B,CAAC,EAAE,QAAQkC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIoD,EAAE,EAAE,QAAQ,EAAE,EAAE,EAAEzE,EAAE,EAAE,EAAEyE,GAAGvH,EAAEmE,EAAErB,EAAE,GAAGC,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAEd,EAAE,EAAE,EAAEiC,EAAEC,EAAElC,EAAE,GAAG,KAAK,MAAMsF,EAAEvE,EAAE,EAAE,EAAEuE,GAAGvE,EAAE,EAAE,CAAC,MAAM,CAACkB,EAAE,CAAC,EAAEjC,CAAC,EAAEC,CAAC,CAAC,CAAC,SAASsxE,GAAGxzE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,GAAG,EAAE,EAAE,CAAC,IAAI0B,EAAE3B,EAAE,OAAO4B,EAAE,CAAC,EAAE,GAAGlC,EAAE,OAAO,EAAE,EAAE,EAAEmC,EAAED,EAAE,GAAG,EAAED,EAAE,EAAE1B,EAAE0B,EAAE,GAAG,EAAE,EAAE,GAAG,EAAE,EAAE,MAAM,IAAI,MAAMo4C,EAAE,wDAAwD,CAAC,EAAE,IAAIv3C,EAAE,EAAE,MAAM,EAAEA,EAAE,GAAG,EAAE,IAAIC,EAAED,EAAE,OAAO,CAAC6B,EAAEC,IAAID,EAAEC,EAAE,CAAC,EAAE5B,EAAE6jB,EAAE,kBAAkB3mB,EAAE6C,CAAC,EAAE,GAAGd,IAAI,EAAE,OAAO,EAAE,GAAGe,EAAE,KAAK,CAAC,EAAE,CAACA,EAAEF,CAAC,EAAE,GAAG,GAAG,EAAE,MAAM,IAAI,MAAMu3C,EAAE,wDAAwD,CAAC,EAAE,IAAIn2C,EAAE,EAAEC,EAAE,EAAEoD,EAAE,EAAE,EAAEhH,EAAE2D,GAAG,OAAO,CAAC,IAAIS,EAAE,EAAE,GAAGR,EAAElC,EAAE,CAAC,GAAG0C,EAAEpE,EAAE4D,GAAG,IAAIQ,EAAE,CAAC,EAAER,EAAE,QAAQ,CAAC,GAAG,GAAGQ,EAAE,MAAM,IAAI,MAAM01C,EAAE,6DAA6D,CAAC,CAAC,CAAC,GAAG,EAAE,GAAG,GAAG,EAAE,MAAM,IAAI,MAAMA,EAAE,yDAAyD,EAAE,CAAC,CAAC,EAAE,EAAE9yC,GAAGvE,EAAE,KAAK,EAAEuE,EAAEpF,EAAE,EAAEA,CAAC,EAAE,QAAQyC,EAAEV,EAAEU,EAAET,EAAE,EAAES,EAAE,CAAC,IAAIC,EAAEvE,EAAEsE,GAAG,GAAGC,EAAE,GAAGA,GAAG3C,EAAE,GAAG,MAAM,IAAI,MAAMm4C,EAAE,uDAAuDz1C,EAAEtE,EAAEsE,GAAG1C,EAAE,EAAE,CAAC,EAAE,QAAQ4C,EAAE,EAAEA,EAAE3C,EAAE2C,IAAI9B,EAAE,EAAEb,EAAE2C,IAAI9E,EAAE6E,EAAE1C,EAAE2C,EAAE,CAAC,GAAG,EAAE,QAAQF,EAAE,EAAEA,EAAEzC,EAAEyC,IAAI5B,EAAE,EAAEb,EAAEyC,IAAIT,EAAED,EAAE,GAAGA,EAAEC,EAAE,EAAEA,EAAEoD,EAAE,EAAE,EAAE,EAAE5C,EAAER,EAAElC,EAAE,KAAK,CAAC,OAAOsF,EAAE,GAAGvE,EAAE,KAAK,EAAEuE,EAAEpF,EAAE,EAAEA,CAAC,EAAE,CAACa,EAAEF,CAAC,CAAC,CAAC,IAAI2wE,GAAG4B,GAAGr1E,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAE44E,GAAGtD,GAAGxxD,GAAG9jB,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAE64E,GAAG,CAAC,WAAW/0D,GAAG,YAAY,MAAM,WAAW80D,EAAE,EAAMlF,GAAGY,GAAG,CAACt0E,EAAE,IAAI,CAAC,IAAIE,EAAEF,EAAE,EAAE,OAAOE,EAAEA,CAAC,CAAC,EAAE44E,GAAG9D,GAAGxwD,GAAGkvD,EAAE,EAAEqF,GAAG,CAAC,WAAWv0D,GAAG,YAAY,MAAM,WAAWs0D,EAAE,EAAE,SAASnF,GAAG3zE,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAE+vB,GAAGtwB,EAAE,EAAE,KAAK,EAAE,QAAQ,EAAE,EAAE,EAAEO,EAAE,KAAK,IAAI,CAAC,IAAI,EAAEA,EAAE,WAAW,CAAC,EAAE0B,EAAE,IAAI,MAAM,EAAE,MAAM,EAAE,QAAQC,EAAE,EAAEA,EAAED,EAAE,OAAOC,IAAID,EAAEC,GAAG,EAAEA,GAAGhC,EAAEgC,GAAG5B,EAAE4B,GAAG3B,EAAE,IAAI,EAAE,IAAI,GAAG0B,CAAC,EAAE,GAAG,CAAC,CAAC,CAAC,OAAO1B,CAAC,CAAC,IAAIy4E,GAAG,KAAK,CAAC,YAAYl4E,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAE,CAAC,KAAK,UAAU6kB,EAAE,aAAa/lB,CAAC,EAAE,KAAK,YAAYZ,EAAE,KAAK,QAAQ2mB,EAAE,aAAa,CAAC,EAAE,KAAK,SAASA,EAAE,aAAatmB,CAAC,EAAE,KAAK,SAASwB,EAAE,KAAK,cAAcC,CAAC,CAAC,YAAYlB,EAAE,CAAC,OAAO,KAAK,IAAI,KAAK,SAAS,EAAEA,EAAE,EAAE,KAAK,SAASA,EAAE,CAAC,CAAC,CAAC,aAAaA,EAAEZ,EAAE,CAAC,IAAI,EAAE,KAAK,YAAYA,CAAC,EAAE,OAAO,KAAK,IAAI,EAAEY,EAAE,EAAE,EAAEZ,EAAE,CAAC,CAAC,CAAC,aAAaY,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAE,CAAC,QAAQC,EAAE,EAAEA,EAAEF,EAAE,EAAEE,EAAE,CAAC,IAAIC,EAAE,KAAK,YAAYF,CAAC,EAAE,EAAE,KAAK,IAAI,EAAEE,EAAED,CAAC,EAAEW,EAAE,KAAK,IAAI,EAAEV,GAAGH,GAAGE,EAAE,GAAG,EAAE,EAAED,GAAG,EAAEY,GAAGE,EAAE5C,GAAG,EAAE,EAAE,EAAE+B,EAAEC,GAAGa,EAAE,EAAEA,GAAG,EAAE,KAAK,QAAQ,OAAO,QAAQgC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAEhC,GAAGjC,EAAEgC,EAAEiC,GAAG,OAAOhC,GAAGH,EAAE,KAAK,SAAS,OAAOG,IAAI,EAAEH,EAAE,EAAE,GAAG,KAAK,UAAU,OAAO,EAAErC,EAAE0B,GAAG,IAAI,WAAWc,CAAC,EAAE,IAAI,EAAE,EAAExC,EAAE0B,GAAGkC,EAAE,EAAEoD,EAAExC,GAAGA,EAAE,QAAQJ,GAAG,EAAER,KAAKQ,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAEwC,EAAE,KAAK,OAAO,EAAEA,EAAE,KAAK,SAAS,EAAE,QAAQxC,EAAE,EAAEA,EAAE,EAAE,EAAE,EAAEA,EAAEwC,EAAEzG,EAAEgC,EAAEiC,EAAE,EAAEwC,EAAE,KAAK,SAAS,EAAE,GAAG,EAAE,EAAE,CAACA,EAAEzG,EAAEgC,EAAE,EAAE,EAAE,EAAE,QAAQiC,EAAE,EAAEA,EAAEnC,EAAE,EAAEmC,EAAEwC,EAAE,KAAK,SAAS,EAAEA,EAAE,KAAK,QAAQ,CAAC,KAAK,CAAC,QAAQxC,EAAE,EAAEA,EAAEnC,EAAE,EAAE,EAAEmC,EAAEwC,EAAE,KAAK,QAAQ,EAAEA,EAAE,KAAK,SAAS,EAAEA,EAAE,KAAK,QAAQ,CAAC,CAAC,CAAC,CAAC,QAAQzG,EAAEZ,EAAE,CAAC,IAAI,EAAEY,EAAE,OAAOP,EAAEL,EAAE,OAAO,GAAGK,EAAE,EAAE,CAAC,IAAI2B,EAAEhC,EAAE,GAAG,GAAGgC,IAAI,EAAE,MAAM,IAAI,MAAM,oCAAoCA,GAAG,EAAE,QAAQ,EAAE,EAAE,EAAE3B,EAAE,EAAE,EAAE,CAAC,IAAIqC,EAAE1C,EAAE,IAAIgC,EAAE,GAAGU,EAAEA,GAAG1C,EAAE,IAAI,EAAE,CAAC0C,EAAE,MAAM,IAAI,MAAM,uBAAuB1C,EAAE,mBAAmBgC,MAAM,IAAI,EAAEA,EAAEhC,EAAE,EAAE,CAAC,GAAGgC,IAAI,EAAE,MAAM,IAAI,MAAM,gDAAgD,UAAUA,GAAG,CAAC,CAAC,IAAIH,EAAExB,EAAE,EAAEyB,EAAE6kB,EAAE,kBAAkB,QAAQtmB,CAAC,EAAE,GAAG,IAAI,GAAGA,IAAI,EAAE,CAAC,IAAI2B,EAAE,IAAI,MAAM,CAAC,EAAE,QAAQ,EAAE,EAAE,GAAGH,EAAE,EAAE,EAAEC,EAAE,GAAG,EAAE,MAAM,CAACE,EAAEF,CAAC,CAAC,CAACA,EAAE,GAAG,EAAE,QAAQE,EAAE,EAAEA,GAAGH,EAAE,EAAEG,EAAE,CAAC,IAAI,EAAEhC,EAAEgC,GAAGhC,EAAEgC,EAAE,GAAGU,EAAE,EAAE,KAAK,YAAY,QAAQ,GAAG,CAACA,GAAG,KAAK,aAAa,EAAE,CAAC,CAAC,CAAC,EAAE,KAAK,eAAe,EAAE,GAAGA,IAAI,IAAIA,EAAE,GAAGZ,EAAEE,GAAGF,EAAEE,EAAE,GAAGU,CAAC,CAAC,IAAIX,EAAE,IAAI,MAAMD,EAAED,EAAE,EAAE,QAAQG,EAAE,EAAEA,EAAEH,EAAE,EAAEG,EAAE,CAAC,IAAI,EAAEhC,EAAEgC,GAAGU,EAAEZ,EAAEE,GAAG,GAAG,KAAK,YAAY,QAAQ,GAAG,CAAC,IAAIY,EAAE5C,EAAEgC,EAAE,GAAGhC,EAAEgC,GAAGa,EAAE,KAAK,aAAaD,EAAE,CAAC,EAAE,KAAK,aAAahC,EAAE,EAAEmB,EAAEW,EAAEG,EAAE,CAAC,EAAEH,GAAGG,CAAC,CAAC,EAAE,KAAK,eAAeH,IAAIZ,EAAEE,GAAG,CAAC,IAAI,EAAEhC,EAAEgC,EAAE,GAAGhC,EAAEgC,GAAG,GAAG,IAAI,EAAE,SAAS,IAAIY,EAAE,EAAE,EAAE,KAAK,SAASC,EAAE,EAAE,KAAK,aAAajC,EAAE,EAAEmB,EAAEW,EAAEG,EAAED,CAAC,CAAC,CAAC,CAAC,MAAM,CAACb,EAAED,CAAC,CAAC,CAAC,EAAE,SAAS4xE,GAAG5zE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAE,CAAC,OAAO,IAAI+2E,GAAG94E,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,CAAC,EAAE,QAAQjC,EAAE,CAAC,CAAC,CAAC,SAASi5E,GAAGj5E,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAG,CAACN,EAAE,OAAO,OAAO,GAAG,EAAE,SAAS,EAAE,CAAC,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEM,EAAE,KAAKN,EAAE,SAAS,EAAE,EAAE,CAAC,CAAC,EAAE,MAAM,CAAC,GAAG,EAAE,SAAS,EAAE,CAAC,IAAI,EAAE,EAAE,GAAG,EAAEA,EAAE,QAAQ,CAAC,EAAE,KAAK,IAAI,IAAI,CAAC,IAAIiC,EAAEjC,EAAE,SAAS,EAAE,CAAC,GAAG,CAACE,GAAG+B,EAAE,SAAS,IAAI3B,EAAE,KAAK2B,CAAC,EAAEjC,EAAEA,EAAE,SAAS,EAAE,CAAC,EAAE,EAAEA,EAAE,QAAQ,CAAC,CAAC,EAAE,CAACE,GAAGF,EAAE,SAAS,IAAIM,EAAE,KAAKN,CAAC,EAAE,MAAM,CAAC,IAAIO,EAAE,EAAE,QAAQ,EAAE,EAAE,EAAEP,EAAE,OAAO,EAAE,IAAI,GAAG,IAAIA,EAAE,QAAQ,EAAE,QAAQA,EAAE,EAAE,IAAI,GAAG,CAAC,IAAI,EAAEA,EAAE,SAASO,EAAE,CAAC,GAAG,CAACL,GAAG,EAAE,SAAS,IAAII,EAAE,KAAK,CAAC,EAAEC,EAAE,EAAE,CAAC,CAAC,CAAC,SAASszE,GAAG7zE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,OAAOO,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE0B,EAAE,IAAI,MAAM3B,CAAC,EAAE,QAAQwC,EAAE,EAAEA,EAAExC,EAAE,EAAEwC,EAAE,CAAC,IAAIC,EAAExC,EAAE,OAAO04E,GAAGj5E,EAAE8C,GAAG,EAAE5C,EAAEK,CAAC,EAAE,IAAIyC,EAAEzC,EAAE,OAAOwC,EAAEd,EAAEa,GAAGE,EAAE,GAAGA,EAAE,EAAE,KAAK,IAAI,EAAEA,CAAC,CAAC,CAAC,IAAId,EAAE2kB,EAAE,kBAAkB,QAAQ,EAAE,CAAC,EAAE1kB,EAAE,IAAI,MAAM,CAAC,EAAES,EAAE,CAACtC,EAAE,CAAC,EAAEuC,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAExC,EAAE,EAAEwC,EAAE,QAAQC,EAAE,EAAEA,EAAEd,EAAEa,GAAG,EAAEC,EAAEb,EAAEW,EAAE,GAAGC,EAAEZ,EAAEW,EAAE,EAAE,GAAGE,EAAEZ,EAAEU,GAAGtC,EAAEsC,GAAG,EAAEA,EAAE,MAAM,CAACX,EAAEC,EAAES,CAAC,CAAC,CAAC,SAASkxE,GAAG9zE,EAAE,EAAE,CAAC,IAAIE,EAAE2mB,EAAE,kBAAkB,QAAQ7mB,EAAE,MAAM,EAAE,QAAQM,EAAE,EAAEA,EAAEN,EAAE,OAAO,EAAEM,EAAEJ,EAAEI,GAAGumB,EAAE,cAAc7mB,EAAEM,EAAE,EAAE,OAAO,CAAC,EAAE,mBAAmB,EAAE,OAAOJ,CAAC,CAAC,IAAI6zE,GAAGO,GAAG,CAACt0E,EAAE,IAAIA,EAAE,CAAC,EAAEk5E,GAAGjE,GAAG,CAACj1E,EAAE,EAAEE,EAAEI,KAAK,CAAC,KAAKN,EAAEE,EAAE,KAAK,EAAEI,CAAC,EAAE,EAAE64E,GAAGnE,GAAGlwD,GAAGivD,GAAGmF,EAAE,EAAEE,GAAG,CAAC,WAAWt0D,GAAG,YAAY,MAAM,WAAWq0D,EAAE,EAAE,SAASnF,GAAGh0E,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,MAAMF,EAAE,IAAI,EAAE,QAAQO,EAAE,EAAEA,EAAEL,EAAE,OAAOK,IAAIL,EAAEK,GAAGP,EAAE,MAAMO,GAAG,EAAEA,GAAG,IAAID,EAAEgwB,GAAGpwB,EAAEF,EAAE,KAAK,EAAE,QAAQO,EAAE,EAAEA,EAAED,EAAE,OAAO,OAAO,EAAEC,EAAE,CAAC,IAAI,EAAED,EAAE,WAAWC,CAAC,EAAE,EAAE,IAAI,MAAMP,EAAE,IAAI,EAAE,QAAQkC,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,EAAEA,GAAG,EAAEA,GAAGlC,EAAE,MAAMkC,GAAG,IAAID,EAAEjC,EAAE,WAAW,CAAC,EAAEM,EAAE,OAAOC,GAAGP,EAAE,OAAOiC,EAAE,CAAC,OAAO3B,CAAC,CAAC,IAAI+4E,GAAG,CAACr5E,EAAE,IAAI,CAAC,IAAIE,EAAE,EAAE,MAAMF,EAAE,MAAM,OAAOE,IAAI,EAAEF,EAAE,MAAM,EAAE,MAAME,CAAC,EAAE,SAASo5E,GAAGt5E,EAAE,EAAEE,EAAE,EAAEI,EAAEN,EAAE,OAAO,EAAE,CAAC,KAAKM,EAAEJ,GAAG,CAAC,GAAGI,EAAEJ,EAAE,IAAI,CAAC,IAAI+B,EAAE3B,EAAEJ,EAAE,EAAEgC,EAAE,EAAEhC,EAAE,EAAEiC,EAAE,KAAK,IAAIF,CAAC,EAAEW,EAAE,GAAG,KAAK,IAAI,EAAET,EAAE,CAAC,EAAEU,EAAE,GAAG,KAAK,KAAKV,EAAES,GAAGX,EAAEW,GAAGX,CAAC,EAAE,KAAK,KAAKC,EAAED,EAAE,CAAC,EAAEa,EAAE,KAAK,IAAI5C,EAAE,KAAK,MAAM,EAAEgC,EAAEU,EAAEX,EAAEY,CAAC,CAAC,EAAEE,EAAE,KAAK,IAAIzC,EAAE,KAAK,MAAM,GAAG2B,EAAEC,GAAGU,EAAEX,EAAEY,CAAC,CAAC,EAAEy2E,GAAGt5E,EAAE,EAAE8C,EAAEC,CAAC,CAAC,CAAC,IAAIxC,EAAEP,EAAE,GAAG,EAAEE,EAAE,EAAEI,EAAE,IAAIumB,EAAE,KAAK7mB,EAAEE,EAAE,CAAC,EAAEm5E,GAAGr5E,EAAEM,GAAGC,CAAC,EAAE,GAAGsmB,EAAE,KAAK7mB,EAAEE,EAAEI,CAAC,EAAE,EAAE,GAAG,CAAC,IAAIumB,EAAE,KAAK7mB,EAAE,EAAE,CAAC,EAAE,IAAI,IAAIq5E,GAAGr5E,EAAE,GAAGO,CAAC,EAAE,GAAG,EAAE,EAAE,EAAE,KAAK84E,GAAGr5E,EAAE,GAAGO,CAAC,EAAE,GAAG,EAAE,EAAE,CAAC,CAAC84E,GAAGr5E,EAAEE,GAAGK,CAAC,IAAI,EAAEsmB,EAAE,KAAK7mB,EAAEE,EAAE,CAAC,GAAG,EAAE,EAAE,EAAE2mB,EAAE,KAAK7mB,EAAE,EAAEM,CAAC,GAAG,GAAG,IAAIJ,EAAE,EAAE,GAAG,GAAG,IAAII,EAAE,EAAE,EAAE,CAAC,CAAC,SAAS2zE,GAAGj0E,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAE,EAAE,EAAE,OAAO,GAAG,CAAC,EAAE0B,CAAC,EAAE,CAACjC,EAAE,OAAO,EAAE,CAAC,EAAEkC,EAAE2kB,EAAE,uBAAuB3mB,EAAE,EAAEI,CAAC,EAAE6B,EAAE0kB,EAAE,uBAAuB,QAAQ,EAAEvmB,CAAC,EAAE,QAAQuC,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIC,EAAED,EAAEZ,EAAEc,EAAE/C,EAAE,SAAS8C,EAAEA,EAAEb,CAAC,EAAEe,EAAE,IAAI,MAAMD,EAAE,MAAM,EAAEA,EAAE,QAAQ,CAACgC,EAAEJ,IAAI3B,EAAE2B,GAAG,CAAC,MAAMI,EAAE,MAAMJ,CAAC,CAAC,EAAErE,EAAE0C,EAAE,SAASs2E,GAAGt2E,EAAE1C,CAAC,EAAE0C,EAAEA,EAAE,MAAM,EAAE1C,CAAC,GAAGC,GAAGyC,EAAE,KAAKq2E,EAAE,EAAE,IAAIn1E,EAAErB,EAAEvC,EAAE,EAAE4B,EAAE,SAASgC,EAAEA,EAAE5D,CAAC,EAAEiH,EAAEpF,EAAE,SAAS+B,EAAEA,EAAE5D,CAAC,EAAE,QAAQyE,EAAE,EAAEA,EAAEzE,EAAEyE,IAAI,EAAEA,GAAG/B,EAAE+B,GAAG,MAAMwC,EAAExC,GAAG/B,EAAE+B,GAAG,KAAK,CAAC,IAAInC,EAAE,EAAE,MAAM,EAAE,OAAOA,EAAEA,EAAE,OAAO,GAAGtC,EAAE,CAACgwB,GAAG1tB,EAAE1C,EAAEgC,CAAC,EAAEouB,GAAG1tB,EAAE,QAAQT,CAAC,CAAC,CAAC,CAAC,SAASgyE,GAAGn0E,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEsmB,EAAE,eAAe,EAAE3mB,CAAC,EAAE,GAAG,EAAE,CAAC,EAAEA,EAAE,GAAG,CAAC,EAAE,QAAQ8C,EAAE,EAAEA,EAAEzC,EAAEyC,IAAI,EAAE,IAAI9C,EAAE8C,GAAG,EAAE,GAAG9C,EAAEK,GAAG,QAAQyC,EAAEzC,EAAE,EAAEyC,EAAE9C,EAAE,OAAO8C,IAAI,EAAE,IAAI9C,EAAE8C,GAAG,IAAI,EAAE,CAAC,EAAEf,EAAE,IAAI,WAAW/B,EAAEK,EAAE,EAAE2B,EAAE,IAAImnB,GAAG,EAAE/oB,EAAEN,CAAC,EAAEmC,EAAE,CAAC,EAAES,EAAE,EAAE,KAAK,GAAG,EAAE,KAAK,EAAE,QAAQI,EAAE,EAAEA,EAAE9C,EAAEK,GAAGyC,IAAI,CAAC,IAAIkB,EAAE,GAAGtB,EAAEsB,EAAElE,EAAEgD,GAAG,SAAS,MAAM,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQuE,EAAE,EAAEA,EAAE,EAAE,GAAGA,IAAI,QAAQxC,EAAE,EAAEA,EAAE,EAAE,GAAGA,IAAI,EAAE,KAAK7C,EAAE,IAAIqF,EAAEvE,EAAE+B,CAAC,CAAC,EAAEb,EAAE,EAAE,KAAK,GAAG,CAAC,CAAC,GAAG,EAAEA,KAAK,OAAOjC,EAAEe,GAAG,EAAEkB,OAAO,CAAC,IAAI,EAAE,OAAO,KAAK,CAAC,EAAE,OAAO,EAAEA,GAAG,EAAEjC,EAAEe,GAAG,EAAEb,EAAE,KAAKa,CAAC,CAAC,CAAC,CAAC,IAAIH,EAAE,EAAE,MAAM,EAAEA,EAAE,GAAG,OAAO,KAAK,CAAC,EAAE,OAAO,IAAIC,EAAE,IAAIumB,GAAGxmB,EAAEvC,CAAC,EAAE6B,EAAE,QAAQ,CAACa,EAAEkB,IAAI,CAAC,QAAQ,EAAE,EAAE,EAAE,EAAE,GAAG,IAAI,QAAQqD,EAAE,EAAEA,EAAE,EAAE,GAAGA,IAAIzE,EAAE,IAAIZ,EAAE,IAAI,EAAEc,EAAEuE,CAAC,EAAE,EAAErD,EAAEqD,CAAC,CAAC,CAAC,EAAE,IAAIxE,EAAE7C,EAAE,MAAM,EAAE,OAAO6C,EAAExC,GAAGsC,EAAE,GAAG,CAAC,aAAaC,EAAE,OAAO,YAAYC,EAAE,QAAQd,CAAC,CAAC,CAACiyB,GAAG,MAAM,IAAI,IAAIi9C,GAAG,CAAC,EAAE,IAAIoI,GAAGjE,GAAGj3D,GAAGre,GAAGA,GAAG,EAAEA,EAAE,KAAK,IAAIA,CAAC,EAAE,CAAC,EAAEw5E,GAAG,CAAC,WAAWn7D,GAAG,YAAY,MAAM,WAAWk7D,EAAE,EAAE,SAASE,GAAGz5E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE2wE,GAAG,CAAC1wE,CAAC,EAAE,WAAW,EAAE,IAAI,EAAEsmB,EAAE,cAActmB,EAAE,KAAK,EAAE0B,EAAE/B,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO2B,EAAE2kB,EAAE,uBAAuB,UAAU,CAAC,EAAE,QAAQ1kB,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAID,EAAEC,GAAGF,EAAEE,GAAG,EAAE,EAAEF,EAAEE,GAAGF,EAAEE,GAAG,OAAOjC,EAAE,eAAeK,EAAE,MAAM,UAAU2B,CAAC,CAAC,CAAC,IAAIw3E,GAAG,CAAC,WAAW95D,GAAG,YAAY,MAAM,WAAW65D,EAAE,EAAME,GAAGrF,GAAG,CAACt0E,EAAE,IAAIA,EAAE,EAAE,EAAEA,EAAEA,CAAC,EAAE,SAAS45E,GAAG55E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,EAAE,MAAMC,CAAC,EAAE,EAAE0wE,GAAG,CAAC3wE,EAAEC,CAAC,EAAE,OAAO,EAAE,IAAI,EAAEL,EAAE,KAAK,IAAII,EAAE,MAAM,EAAE,OAAO,EAAEJ,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO,CAAC0B,EAAEC,CAAC,EAAEy3E,GAAGr5E,EAAE,MAAMC,EAAE,MAAM,EAAE,EAAE,SAAS,EAAE,OAAOL,EAAE,eAAegC,EAAE,UAAUD,CAAC,CAAC,CAAC,IAAI43E,GAAG,CAAC,WAAW13D,GAAG,YAAY,MAAM,WAAWy3D,EAAE,EAAME,GAAGxE,GAAG5yD,GAAG1iB,GAAG,KAAK,IAAI,EAAEA,CAAC,CAAC,EAAE+5E,GAAG,CAAC,WAAWr3D,GAAG,YAAY,MAAM,WAAWo3D,EAAE,EAAME,GAAG1E,GAAGtyD,GAAGhjB,GAAG,KAAK,IAAI,KAAK,IAAI,EAAEA,CAAC,EAAE,CAAC,CAAC,EAAEi6E,GAAG,CAAC,WAAWj3D,GAAG,YAAY,MAAM,WAAWg3D,EAAE,EAAE,SAASE,GAAGl6E,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,GAAGL,IAAI,SAAS,OAAOw0E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ10E,CAAC,CAAC,EAAE,GAAGE,IAAI,OAAO,OAAO45E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ95E,CAAC,CAAC,EAAE,GAAGE,IAAI,MAAM,OAAOq5E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQv5E,CAAC,CAAC,EAAE,GAAGE,IAAI,QAAQ,OAAO85E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQh6E,CAAC,CAAC,EAAE,GAAGE,IAAI,QAAQ,OAAO05E,GAAG,CAAC,OAAO,CAAC,EAAE,EAAE,MAAMt5E,CAAC,EAAE,QAAQN,CAAC,CAAC,EAAE,GAAGE,IAAI,YAAY,OAAOu5E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQz5E,EAAE,MAAM,CAAC,MAAMO,CAAC,CAAC,CAAC,EAAE,GAAGL,IAAI,UAAU,OAAOs4E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQx4E,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,cAAcE,iDAAiD,CAAC,CAAC,SAASi6E,GAAGn6E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE,EAAEumB,EAAE,cAActmB,EAAE,KAAK,EAAE0B,EAAE4kB,EAAE,uBAAuB,EAAE,CAAC,EAAE3kB,EAAE2kB,EAAE,cAAc5kB,CAAC,EAAE4kB,EAAE,OAAO,IAAI3kB,EAAE,IAAI,kBAAkBD,UAAUC,iCAAiC3B,EAAE,cAAc,gFAAgF,EAAEL,EAAE,OAAOK,EAAE,MAAM,EAAE,IAAI4B,EAAEjC,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,GAAG4B,EAAE,oBAAoB,KAAK,CAAC,IAAIS,EAAET,EAAE,mBAAmB,KAAKU,EAAEV,EAAE,mBAAmB,KAAKS,EAAE,MAAMX,EAAEY,EAAE,MAAMZ,CAAC,CAAC,MAAM,CAAC,OAAO1B,EAAE,OAAO,MAAM0B,EAAE,MAAM1B,EAAE,KAAK,CAAC,CAAC,IAAI65E,GAAG,CAAC,WAAWz3D,GAAG,YAAY,MAAM,WAAWw3D,EAAE,EAAE,SAASE,GAAGr6E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,WAAW0B,CAAC,EAAE3B,EAAE2wE,GAAG,CAAC1wE,EAAE,CAAC,EAAE,QAAQ,EAAE,IAAI2B,EAAE3B,EAAE,MAAM,OAAO4B,EAAE,EAAE,MAAM,OAAOS,EAAE,EAAErC,EAAE,MAAM2B,EAAE,GAAG3B,EAAE,MAAM2B,EAAE,GAAGW,EAAEZ,EAAE,EAAE,MAAME,EAAE,GAAG,EAAE,MAAMA,EAAE,GAAGW,EAAE,EAAEvC,EAAE,MAAM2B,EAAE,GAAG3B,EAAE,MAAM2B,EAAE,GAAGa,EAAEd,EAAE,EAAE,MAAME,EAAE,GAAG,EAAE,MAAMA,EAAE,GAAGa,EAAEzC,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE2D,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAE2iB,EAAE,cAAc7jB,CAAC,EAAEuE,EAAEsf,EAAE,cAAc3iB,CAAC,EAAES,EAAEmwB,GAAG,2BAA2Bv0B,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,CAAC,EAAE,OAAO,CAACuC,EAAEC,CAAC,CAAC,EAAE8jB,EAAE,OAAOjkB,IAAIC,EAAE,IAAI,kCAAkCD,WAAWC,6BAA6BtC,EAAE,aAAa,EAAE,wBAAwB,oBAAoB0B,eAAe,EAAE,IAAI2C,EAAE,EAAE,CAAC,EAAEhC,EAAEE,CAAC,EAAE,CAAC,EAAEA,EAAEF,CAAC,EAAEiC,EAAE5C,EAAE,CAACsF,EAAExE,EAAEF,CAAC,EAAE,CAAC0E,EAAE1E,EAAEE,CAAC,EAAE+B,EAAEq1E,GAAG,CAAC,OAAO,CAAC,EAAE55E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM0E,CAAC,CAAC,CAAC,EAAE4C,EAAE2yE,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQj6E,EAAE,MAAM,CAAC,MAAM2E,CAAC,CAAC,CAAC,EAAEG,EAAE,EAAEF,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG2C,EAAE,EAAE3C,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGG,EAAEhD,EAAEuF,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGtC,EAAE,KAAK,IAAI,EAAEqC,CAAC,EAAEpC,EAAEjF,EAAE,KAAK,IAAI4E,EAAE,MAAM,EAAE,OAAOM,EAAElF,EAAE,KAAK,IAAIsH,EAAE,MAAM,EAAE,OAAOnC,EAAEwhB,EAAE,eAAe/hB,EAAE,KAAK,EAAEQ,EAAEuhB,EAAE,eAAerf,EAAE,KAAK,EAAE,CAACS,EAAEN,EAAEO,CAAC,EAAE,EAAE,CAAC7C,EAAE,GAAG,EAAEA,EAAE,EAAE,EAAE,CAACA,EAAE,GAAGA,EAAE,GAAG,CAAC,EAAE,CAAC8C,EAAGC,EAAGC,CAAE,EAAEpG,EAAE,CAAC,EAAEqD,EAAE,GAAGA,EAAE,EAAE,EAAE,CAACA,EAAE,GAAG,EAAEA,EAAE,EAAE,EAAEgD,GAAGb,EAAExC,EAAEsD,GAAG+nB,GAAG,CAACprB,EAAEuC,EAAExC,CAAC,EAAEH,EAAE,KAAK,EAAE6B,GAAG4B,GAAG,OAAOE,GAAGvI,EAAE,UAAU,QAAQwI,GAAG,EAAEA,GAAGxD,EAAEwD,KAAK,QAAQC,GAAG,EAAEA,GAAGlB,EAAEkB,IAAIF,GAAG,QAAQG,GAAG,EAAEA,GAAG3D,EAAE2D,IAAIH,GAAG,QAAQI,GAAG,EAAEA,GAAG7D,EAAE6D,IAAIJ,GAAG,CAAC,IAAIK,GAAG,KAAK,IAAIH,GAAGF,GAAGhB,CAAC,EAAE0B,GAAG,KAAK,IAAIP,GAAGH,GAAGxD,CAAC,EAAEmE,GAAG,KAAK,IAAIP,GAAGJ,GAAGzD,CAAC,EAAE,QAAQqE,GAAGV,GAAGU,GAAGP,GAAGO,KAAK,QAAQzC,GAAGgC,GAAGhC,GAAGuC,GAAGvC,KAAK,CAAC,IAAIE,GAAG,EAAE,QAAQC,GAAG8B,GAAG9B,GAAGqC,GAAGrC,KAAK,CAAC,IAAIC,GAAG,KAAK,IAAI0B,GAAG,EAAE,CAAC,EAAET,EAAEqB,GAAG,KAAK,IAAIZ,GAAGnB,EAAE,CAAC,EAAEc,EAAGpB,GAAG9B,EAAE6B,GAAGqC,GAAG1B,EAAEZ,GAAGmB,GAAGhB,GAAG9B,EAAE2B,GAAGoB,EAAGvB,GAAGwB,EAAGkB,IAAIxC,IAAIG,GAAGC,EAAE,CAACP,GAAG+B,GAAGJ,IAAIe,GAAGpE,EAAE2B,MAAME,EAAE,CAAC,CAAC,OAAO5G,EAAE,8BAA8B4E,CAAC,EAAE5E,EAAE,8BAA8BsH,CAAC,EAAEtH,EAAE,eAAeyE,EAAE4D,GAAG,MAAMA,GAAG,MAAM,CAAC,CAAC,IAAI+xE,GAAG,CAAC,WAAWl+D,GAAG,YAAY,MAAM,WAAWi+D,EAAE,EAAE,SAASE,GAAGv6E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,EAAE,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,WAAWC,EAAE,WAAWC,EAAE,WAAWS,EAAE,eAAeC,CAAC,EAAEvC,EAAEwC,EAAEC,EAAEC,EAAEkB,EAAE,CAAC,EAAEpB,EAAEu3E,GAAG,CAAC,OAAO,CAAC,EAAE95E,EAAE,EAAE,CAAC,EAAE,MAAM,CAAC,WAAW2B,EAAE,WAAWC,CAAC,EAAE,QAAQjC,CAAC,CAAC,EAAE,IAAI6C,EAAEoyE,GAAG,CAAC,OAAO,CAAC,EAAEryE,EAAE,EAAE,CAAC,EAAE,QAAQ5C,CAAC,CAAC,EAAEgE,EAAE,KAAKpB,CAAC,EAAEA,EAAEC,GAAGH,IAAII,EAAEk3E,GAAGh6E,EAAE4C,EAAEF,EAAEX,EAAEY,CAAC,EAAEqB,EAAE,KAAKpB,CAAC,EAAEA,EAAEE,GAAG,QAAQuE,KAAKrD,EAAEhE,EAAE,8BAA8BqH,CAAC,EAAE,OAAOzE,CAAC,CAAC,IAAI03E,GAAG,CAAC,WAAW30D,GAAG,YAAY,MAAM,WAAW00D,EAAE,EAAME,GAAGnF,GAAGn6D,GAAGnb,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAE06E,GAAG,CAAC,WAAWv/D,GAAG,YAAY,MAAM,WAAWs/D,EAAE,EAAME,GAAGrF,GAAGl6D,GAAGpb,GAAG,KAAK,MAAMA,CAAC,CAAC,EAAE46E,GAAG,CAAC,WAAWx/D,GAAG,YAAY,MAAM,WAAWu/D,EAAE,EAAE,SAASE,GAAG76E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAEM,EAAE,EAAE2wE,GAAG,EAAE,MAAM,EAAE,IAAI1wE,EAAED,EAAE,IAAI2B,GAAG/B,EAAE,KAAK,IAAI+B,EAAE,MAAM,EAAE,MAAM,EAAE,EAAEquB,GAAGhwB,EAAE,GAAG,MAAMA,EAAE,GAAG,KAAK,EAAE,EAAE,EAAE,OAAO,QAAQ2B,EAAE,EAAEA,EAAE3B,EAAE,OAAO2B,IAAI,CAAC,IAAIC,EAAE3B,EAAE0B,GAAG,QAAQE,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,EAAEA,IAAID,EAAEC,EAAE,CAAC,OAAOjC,EAAE,eAAe,EAAE,MAAM,EAAE,MAAM,EAAE,MAAM,CAAC,CAAC,IAAI46E,GAAG,CAAC,WAAWx/D,GAAG,YAAY,MAAM,WAAWu/D,EAAE,EAAE,SAASE,GAAG/6E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE2wE,GAAG1wE,EAAE,KAAK,EAAE,IAAI0B,EAAE4kB,EAAE,eAAe,EAAEtmB,EAAE,KAAK,EAAE2B,EAAED,EAAEE,EAAEk4C,EAAE,mBAAmBn4C,EAAE3B,EAAE,MAAM,MAAM,EAAEqC,EAAErC,EAAE4B,GAAG,OAAOS,EAAE20E,GAAG,CAAC,OAAO,CAAC,EAAEh3E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAKiC,CAAC,CAAC,CAAC,EAAED,EAAEm4C,EAAE,iBAAiBn4C,EAAE,OAAO3B,EAAE,MAAM,MAAM,GAAG85C,EAAE,2BAA2B,MAAMn4C,EAAEU,EAAE,MAAM,MAAM,EAAE,GAAG,CAACC,EAAEC,CAAC,EAAEu3C,EAAE,0BAA0Bz3C,EAAE,MAAMV,CAAC,EAAEa,EAAE8jB,EAAE,cAAc/jB,CAAC,EAAEE,EAAE6jB,EAAE,oBAAoBA,EAAE,cAAchkB,CAAC,EAAED,EAAE,KAAK,EAAEsB,EAAEhE,EAAE,KAAK,IAAI0C,EAAE,MAAM,EAAE,OAAO,QAAQ2E,EAAE,EAAEA,EAAEvE,EAAE,OAAO,EAAEuE,EAAE,CAAC,IAAIxC,EAAEwC,EAAExE,EAAE4B,EAAET,EAAEa,GAAG,QAAQH,EAAE,EAAEA,EAAE7B,EAAE,EAAE6B,EAAE,CAAC,IAAIC,EAAEX,EAAEa,EAAEH,GAAGD,EAAEA,GAAGE,CAAC,CAAC7B,EAAEuE,GAAG5C,CAAC,CAACxC,GAAG,MAAMjC,EAAE,8BAA8B0C,CAAC,EAAE,IAAI,EAAE1C,EAAE,eAAe2C,EAAED,EAAE,MAAMI,CAAC,EAAE,GAAG,EAAE,CAAC,IAAIuE,EAAE8yC,EAAE,qBAAqBx3C,EAAEZ,CAAC,EAAE8C,EAAEo1E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQj6E,EAAE,MAAM,CAAC,MAAMqH,CAAC,CAAC,CAAC,EAAE,OAAOrH,EAAE,8BAA8B,CAAC,EAAE6E,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIi2E,GAAG,CAAC,WAAWz/D,GAAG,YAAY,MAAM,WAAWw/D,EAAE,EAAE,SAASE,GAAGj7E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE2wE,GAAG1wE,EAAE,KAAK,EAAE,IAAI0B,EAAE4kB,EAAE,eAAe,EAAEtmB,EAAE,KAAK,EAAE2B,EAAED,EAAEE,EAAEk4C,EAAE,mBAAmBn4C,EAAE3B,EAAE,MAAM,MAAM,EAAEqC,EAAErC,EAAE4B,GAAG,OAAOS,EAAE20E,GAAG,CAAC,OAAO,CAAC,EAAEh3E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAKiC,CAAC,CAAC,CAAC,EAAED,EAAEm4C,EAAE,iBAAiBn4C,EAAE,OAAO3B,EAAE,MAAM,MAAM,GAAG85C,EAAE,2BAA2B,MAAMn4C,EAAEU,EAAE,MAAM,MAAM,EAAE,GAAG,CAACC,EAAEC,CAAC,EAAEu3C,EAAE,0BAA0Bz3C,EAAE,MAAMV,CAAC,EAAEa,EAAE8jB,EAAE,cAAc/jB,CAAC,EAAEE,EAAE6jB,EAAE,oBAAoBA,EAAE,cAAchkB,CAAC,EAAED,EAAE,KAAK,EAAEsB,EAAEhE,EAAE,KAAK,IAAI0C,EAAE,MAAM,EAAE,OAAO,QAAQ2E,EAAE,EAAEA,EAAEvE,EAAE,OAAO,EAAEuE,EAAE,CAAC,IAAIxC,EAAEwC,EAAExE,EAAE4B,EAAET,EAAEa,GAAG,QAAQH,EAAE,EAAEA,EAAE7B,EAAE,EAAE6B,EAAE,CAAC,IAAIC,EAAEX,EAAEa,EAAEH,GAAGD,EAAEA,GAAGE,CAAC,CAAC7B,EAAEuE,GAAG5C,CAAC,CAACxC,GAAG,MAAMjC,EAAE,8BAA8B0C,CAAC,EAAE,IAAI,EAAE1C,EAAE,eAAe2C,EAAED,EAAE,MAAMI,CAAC,EAAE,GAAG,EAAE,CAAC,IAAIuE,EAAE8yC,EAAE,qBAAqBx3C,EAAEZ,CAAC,EAAE8C,EAAEo1E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQj6E,EAAE,MAAM,CAAC,MAAMqH,CAAC,CAAC,CAAC,EAAE,OAAOrH,EAAE,8BAA8B,CAAC,EAAE6E,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIm2E,GAAG,CAAC,WAAW1/D,GAAG,YAAY,MAAM,WAAWy/D,EAAE,EAAE,SAASE,GAAGn7E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE2wE,GAAG1wE,EAAE,QAAQ,EAAE,IAAI,EAAEsmB,EAAE,eAAe,EAAEtmB,EAAE,KAAK,EAAE0B,EAAEo4C,EAAE,mBAAmB,EAAE95C,EAAE,MAAM,MAAM,EAAE2B,EAAE3B,EAAE4B,EAAE,CAAC,EAAEF,GAAG,OAAOC,EAAEq1E,GAAG,CAAC,OAAO,CAAC,EAAEh3E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAK+B,CAAC,CAAC,CAAC,EAAEE,EAAE,KAAKD,CAAC,EAAE,EAAEm4C,EAAE,iBAAiB,EAAE,OAAOn4C,EAAE,MAAM,MAAM,GAAG,EAAE,CAAC,EAAE,EAAE,EAAEm4C,EAAE,2BAA2B,SAAS,EAAEn4C,EAAE,MAAM,MAAM,EAAE,GAAG,CAACU,EAAEC,CAAC,EAAEw3C,EAAE,0BAA0Bn4C,EAAE,MAAM,CAAC,EAAEY,EAAE+jB,EAAE,cAAcjkB,CAAC,EAAEG,EAAE8jB,EAAE,oBAAoB/jB,EAAE,OAAO,EAAEE,EAAE6jB,EAAE,cAAchkB,CAAC,EAAEqB,EAAEhE,EAAE,KAAK,IAAIgC,EAAE,MAAM,EAAE,OAAO,QAAQ,EAAE,EAAE,EAAEa,EAAE,OAAO,EAAE,EAAE,CAAC,IAAIwE,EAAE,EAAEvE,EAAE+B,EAAEb,EAAEqD,GAAG5C,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE5B,EAAE,EAAE4B,EAAE,CAAC,IAAIC,EAAEX,EAAEqD,EAAE3C,GAAGC,EAAEE,IAAIA,EAAEF,EAAEF,EAAEC,EAAE,CAAC7B,EAAE,GAAG4B,CAAC,CAAC,OAAOxC,EAAE,QAAQ,GAAGjC,EAAE,8BAA8B,CAAC,CAAC,EAAEA,EAAE,eAAe0C,EAAE,QAAQG,CAAC,CAAC,CAAC,IAAIq4E,GAAG,CAAC,WAAW3/D,GAAG,YAAY,MAAM,WAAW0/D,EAAE,EAAE,SAASE,GAAGr7E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE2wE,GAAG1wE,EAAE,QAAQ,EAAE,IAAI,EAAEsmB,EAAE,eAAe,EAAEtmB,EAAE,KAAK,EAAE0B,EAAEo4C,EAAE,mBAAmB,EAAE95C,EAAE,MAAM,MAAM,EAAE2B,EAAE3B,EAAE4B,EAAE,CAAC,EAAEF,GAAG,OAAOC,EAAEq1E,GAAG,CAAC,OAAO,CAAC,EAAEh3E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAK+B,CAAC,CAAC,CAAC,EAAEE,EAAE,KAAKD,CAAC,EAAE,EAAEm4C,EAAE,iBAAiB,EAAE,OAAOn4C,EAAE,MAAM,MAAM,GAAG,EAAE,CAAC,EAAE,EAAE,EAAEm4C,EAAE,2BAA2B,SAAS,EAAEn4C,EAAE,MAAM,MAAM,EAAE,GAAG,CAACU,EAAEC,CAAC,EAAEw3C,EAAE,0BAA0Bn4C,EAAE,MAAM,CAAC,EAAEY,EAAE+jB,EAAE,cAAcjkB,CAAC,EAAEG,EAAE8jB,EAAE,oBAAoB/jB,EAAE,OAAO,EAAEE,EAAE6jB,EAAE,cAAchkB,CAAC,EAAEqB,EAAEhE,EAAE,KAAK,IAAIgC,EAAE,MAAM,EAAE,OAAO,QAAQ,EAAE,EAAE,EAAEa,EAAE,OAAO,EAAE,EAAE,CAAC,IAAIwE,EAAE,EAAEvE,EAAE+B,EAAEb,EAAEqD,GAAG5C,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE5B,EAAE,EAAE4B,EAAE,CAAC,IAAIC,EAAEX,EAAEqD,EAAE3C,GAAGC,EAAEE,IAAIA,EAAEF,EAAEF,EAAEC,EAAE,CAAC7B,EAAE,GAAG4B,CAAC,CAAC,OAAOxC,EAAE,QAAQ,GAAGjC,EAAE,8BAA8B,CAAC,CAAC,EAAEA,EAAE,eAAe0C,EAAE,QAAQG,CAAC,CAAC,CAAC,IAAIu4E,GAAG,CAAC,WAAW5/D,GAAG,YAAY,MAAM,WAAW2/D,EAAE,EAAME,GAAGjG,GAAG35D,GAAG3b,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAEw7E,GAAG,CAAC,WAAW7/D,GAAG,YAAY,MAAM,WAAW4/D,EAAE,EAAME,GAAGnG,GAAG15D,GAAG5b,GAAG,KAAK,MAAMA,CAAC,CAAC,EAAE07E,GAAG,CAAC,WAAW9/D,GAAG,YAAY,MAAM,WAAW6/D,EAAE,EAAME,GAAGrG,GAAGz5D,GAAG7b,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAE47E,GAAG,CAAC,WAAW//D,GAAG,YAAY,MAAM,WAAW8/D,EAAE,EAAME,GAAGvH,GAAG,CAACt0E,EAAE,IAAI,KAAK,MAAMA,EAAE,CAAC,CAAC,EAAE87E,GAAG9G,GAAGj5D,GAAG8/D,EAAE,EAAEE,GAAG,CAAC,WAAWhgE,GAAG,YAAY,MAAM,WAAW+/D,EAAE,EAAME,GAAG1G,GAAGx5D,GAAG9b,GAAG,KAAK,MAAMA,CAAC,CAAC,EAAEi8E,GAAG,CAAC,WAAWngE,GAAG,YAAY,MAAM,WAAWkgE,EAAE,EAAE,SAASE,GAAGl8E,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEA,EAAE,aAAa0B,EAAE1B,EAAE,YAAY2B,EAAE3B,EAAE,eAAe4B,EAAE5B,EAAE,cAAcqC,EAAErC,EAAE,sBAAsBsC,EAAEtC,EAAE,qBAAqBuC,EAAEvC,EAAE,QAAQ,IAAIwC,EAAExC,EAAE,QAAQ,KAAKyC,EAAE,IAAI,MAAM,OAAO,kBAAkB,OAAO,kBAAkBkB,EAAEosB,GAAG/vB,EAAE,SAASL,CAAC,EAAE,EAAEgE,EAAE,OAAOqD,EAAEhH,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAGwE,EAAExE,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAGoE,EAAEpE,EAAE,SAAS,GAAG,QAAQqE,EAAE,EAAEA,EAAErE,EAAE,UAAU,EAAEqE,EAAE,CAAC,IAAIC,EAAED,EAAE2C,EAAEzC,EAAEF,EAAEtE,EAAE,GAAG,QAAQkH,EAAE,EAAEA,EAAEjH,EAAE,WAAW,EAAEiH,EAAE,QAAQxC,EAAE,EAAEA,EAAEzE,EAAE,UAAU,EAAEyE,EAAE,CAAC,IAAIyC,EAAEzC,EAAE,EAAElC,EAAEmC,EAAE,KAAK,IAAI,EAAEwC,CAAC,EAAEvC,EAAE,KAAK,IAAI3E,EAAE,SAASqC,EAAE6E,CAAC,EAAEtC,EAAEN,EAAEG,EAAED,EAAE,QAAQK,EAAE,EAAEA,EAAE7E,EAAE,SAAS,EAAE6E,EAAE,CAAC,IAAIC,EAAED,EAAEnD,EAAEc,EAAEuC,EAAE,KAAK,IAAI,EAAED,CAAC,EAAE4C,EAAE,KAAK,IAAI1H,EAAE,QAAQsC,EAAEwC,CAAC,EAAEsC,EAAE3E,EAAEkF,EAAE,EAAEC,EAAG,EAAE,QAAQE,GAAGpD,EAAEoD,GAAGnD,EAAEmD,IAAInG,EAAE,CAAC,IAAIoG,GAAGxD,EAAEuD,GAAG/H,EAAE,GAAG,QAAQiI,GAAGjD,EAAEiD,GAAGN,EAAEM,IAAIpG,EAAE,CAAC,IAAIwE,GAAG2B,GAAGC,GAAGjI,EAAE,GAAGmI,GAAGzI,EAAE2G,GAAGa,GAAG,IAAI,OAAOiB,GAAGd,EAAEA,EAAEc,GAAG,IAAI,QAAQP,GAAGO,GAAGN,IAAK,CAAC,GAAG,MAAMR,CAAC,EAAE,KAAK,CAAC,IAAIS,EAAGjD,EAAEC,EAAET,EAAE6C,EAAE,EAAEY,GAAI,IAAI,MAAMF,EAAEC,EAAGR,CAAC,CAAC,CAAC,CAAC,OAAOzD,CAAC,CAAC,SAASi4E,GAAGn8E,EAAE,EAAEE,EAAEI,EAAEC,EAAE,GAAG,EAAE,GAAG,CAAC,IAAI,EAAE+vB,GAAGhwB,EAAE,SAAS,OAAO,EAAE2B,EAAE3B,EAAE,aAAa4B,EAAE5B,EAAE,YAAY6B,EAAE7B,EAAE,eAAesC,EAAEtC,EAAE,cAAcuC,EAAEvC,EAAE,sBAAsBwC,EAAExC,EAAE,qBAAqByC,EAAEzC,EAAE,QAAQ,IAAI0C,EAAE1C,EAAE,QAAQ,KAAK4D,EAAEosB,GAAG,EAAEpwB,EAAEF,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEM,EAAE,UAAU,EAAE,EAAE,QAAQiH,EAAE,EAAEA,EAAEjH,EAAE,WAAW,EAAEiH,EAAE,QAAQxC,EAAE,EAAEA,EAAEzE,EAAE,UAAU,EAAEyE,EAAE,CAAC,IAAIJ,EAAEI,EAAE9C,EAAEc,EAAE6B,EAAED,EAAE,KAAKC,EAAE,GAAGA,GAAGzC,EAAE,IAAI0C,EAAE,KAAK,IAAIvE,EAAE,SAASuC,EAAE8B,CAAC,EAAE,QAAQG,EAAE,EAAEA,EAAExE,EAAE,SAAS,EAAEwE,EAAE,CAAC,IAAI0C,EAAE1C,EAAE5C,EAAEc,EAAEgC,EAAEwC,EAAE,KAAKxC,EAAE,GAAGA,GAAGpC,EAAE,IAAI6E,EAAE,KAAK,IAAInH,EAAE,QAAQwC,EAAE0E,CAAC,EAAEvC,EAAE,OAAO,kBAAkBC,EAAE,GAAG,QAAQC,EAAEP,EAAEO,EAAEN,EAAEM,GAAGhD,EAAE,CAAC,IAAIiD,EAAED,EAAER,EAAE,QAAQU,EAAEL,EAAEK,EAAEoC,EAAEpC,GAAGzC,EAAE,CAAC,IAAI0C,EAAED,EAAEmC,EAAES,EAAE/D,EAAE,IAAI,EAAEiB,EAAEE,EAAEkC,CAAC,EAAEU,EAAEhD,IAAIA,EAAEgD,EAAE1H,EAAE2E,EAAE,IAAI,EAAE5E,EAAE,SAAS6E,GAAG7E,EAAE,QAAQ+E,GAAG/E,EAAE,WAAWiH,GAAGpC,EAAE7E,EAAE,QAAQ+E,GAAG/E,EAAE,WAAWiH,EAAErC,EAAEE,EAAEtC,EAAEwC,EAAE,CAAC,CAAC,EAAE,IAAIJ,EAAE,EAAEH,EAAED,EAAEyC,CAAC,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,SAAS60E,GAAGp8E,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEA,EAAE,YAAY0B,EAAE1B,EAAE,aAAa2B,EAAE3B,EAAE,YAAY4B,EAAE5B,EAAE,cAAcqC,EAAErC,EAAE,eAAesC,EAAEtC,EAAE,cAAcuC,EAAEvC,EAAE,qBAAqBwC,EAAExC,EAAE,sBAAsByC,EAAEzC,EAAE,qBAAqB2D,EAAE3D,EAAE,QAAQ,MAAM,EAAEA,EAAE,QAAQ,IAAIgH,EAAEhH,EAAE,QAAQ,KAAKwE,EAAE,IAAI,MAAM,OAAO,kBAAkB,OAAO,kBAAkBJ,EAAE2rB,GAAG/vB,EAAE,SAASL,CAAC,EAAE0E,EAAED,EAAE,OAAOE,EAAEtE,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAGuE,EAAEvE,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAGiH,EAAEjH,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAGyE,EAAEzE,EAAE,SAAS,GAAG,QAAQkH,EAAE,EAAEA,EAAElH,EAAE,UAAU,EAAEkH,EAAE,CAAC,IAAIxC,EAAEwC,EAAE5C,EAAEK,EAAEuC,EAAEnH,EAAE,GAAG,QAAQ6E,EAAE,EAAEA,EAAE5E,EAAE,WAAW,EAAE4E,EAAE,QAAQC,EAAE,EAAEA,EAAE7E,EAAE,SAAS,EAAE6E,EAAE,CAAC,IAAIC,EAAED,EAAE,EAAElB,EAAEoB,EAAED,EAAE,KAAKC,EAAE,GAAGA,GAAGnD,EAAE,IAAI8F,EAAE,KAAK,IAAI1H,EAAE,QAAQuC,EAAEuC,CAAC,EAAEsC,EAAE1C,EAAEG,EAAEN,EAAE,QAAQoD,EAAE,EAAEA,EAAE3H,EAAE,UAAU,EAAE2H,EAAE,CAAC,IAAIC,EAAGD,EAAEjG,EAAE,EAAEmG,EAAGD,EAAG,KAAKC,EAAG,GAAGA,GAAIxF,EAAE,IAAIyF,GAAG,KAAK,IAAI9H,EAAE,SAASwC,EAAEoF,CAAE,EAAEG,GAAGX,EAAEO,EAAEV,EAAE,QAAQe,GAAG,EAAEA,GAAGhI,EAAE,SAAS,EAAEgI,GAAG,CAAC,IAAI5B,GAAG4B,GAAGrG,EAAEqF,EAAEkB,GAAG9B,GAAG,KAAK8B,GAAG,GAAGA,IAAI5F,EAAE,IAAI6F,GAAG,KAAK,IAAInI,EAAE,QAAQyC,EAAE2D,EAAE,EAAEgC,GAAGL,GAAGC,GAAGvD,EAAE4D,GAAG7D,EAAE8D,GAAG,EAAEC,GAAG,EAAE,QAAQM,GAAG9D,EAAE8D,GAAGnB,EAAEmB,IAAIjH,EAAE,CAAC,IAAIkH,GAAGnE,EAAEkE,GAAG9I,EAAE,GAAG,QAAQsG,GAAGwB,EAAGxB,GAAGyB,GAAGzB,IAAIhE,EAAE,CAAC,IAAIkE,GAAGuC,GAAGzC,GAAGtG,EAAE,GAAG,QAAQyG,GAAG0B,GAAG1B,GAAG2B,GAAG3B,IAAIlE,EAAE,CAAC,IAAImE,GAAGF,GAAGC,GAAGzG,EAAE,GAAGgJ,GAAGtJ,EAAEgH,GAAG7B,GAAG,GAAG,IAAI,OAAOmE,GAAGV,GAAGA,GAAGU,GAAG,IAAI,QAAQT,IAAIS,GAAGR,MAAM,MAAMF,EAAE,EAAE,KAAK,CAAC,GAAG,MAAMA,EAAE,EAAE,KAAK,CAAC,GAAG,MAAMA,EAAE,EAAE,KAAK,CAAC,IAAIO,GAAGR,GAAGxD,EAAEP,EAAEuE,IAAI,IAAI,MAAMN,GAAGC,GAAGF,EAAE,CAAC,CAAC,CAAC,CAAC,OAAOjE,CAAC,CAAC,SAAS03E,GAAGr8E,EAAE,EAAE,CAAC,IAAIE,EAAEowB,GAAG,EAAE,SAAS,OAAO,EAAEhwB,EAAE,EAAE,YAAYC,EAAE,EAAE,aAAa,EAAE,EAAE,YAAY,EAAE,EAAE,cAAc0B,EAAE,EAAE,eAAeC,EAAE,EAAE,cAAcC,EAAE,EAAE,qBAAqBS,EAAE,EAAE,sBAAsBC,EAAE,EAAE,qBAAqBC,EAAE,EAAE,QAAQ,MAAMC,EAAE,EAAE,QAAQ,IAAIC,EAAE,EAAE,QAAQ,KAAK,QAAQkB,EAAE,EAAEA,EAAE,EAAE,UAAU,EAAEA,EAAE,QAAQ,EAAE,EAAE,EAAE,EAAE,WAAW,EAAE,EAAE,QAAQqD,EAAE,EAAEA,EAAE,EAAE,SAAS,EAAEA,EAAE,CAAC,IAAIxC,EAAEwC,EAAEjH,EAAEwC,EAAE6B,EAAEI,EAAE,KAAKJ,EAAE,GAAGA,GAAG,EAAE,IAAIC,EAAE,KAAK,IAAI,EAAE,QAAQzC,EAAE4C,CAAC,EAAE,QAAQF,EAAE,EAAEA,EAAE,EAAE,UAAU,EAAEA,EAAE,CAAC,IAAIC,EAAED,EAAEtE,EAAEwC,EAAEyE,EAAE1C,EAAE,KAAK0C,EAAE,GAAGA,GAAGvF,EAAE,IAAI+C,EAAE,KAAK,IAAI,EAAE,SAASpC,EAAEkC,CAAC,EAAE,QAAQ2C,EAAE,EAAEA,EAAE,EAAE,SAAS,EAAEA,EAAE,CAAC,IAAIxC,EAAEwC,EAAE,EAAEzE,EAAEkC,EAAED,EAAE,KAAKC,EAAE,GAAGA,GAAGhD,EAAE,IAAIiD,EAAE,KAAK,IAAI,EAAE,QAAQtC,EAAEoC,CAAC,EAAEG,EAAE,OAAO,kBAAkBC,EAAE,GAAG,QAAQC,EAAEX,EAAEW,EAAEV,EAAEU,GAAG,EAAE,CAAC,IAAI2C,EAAE3C,EAAEP,EAAE,QAAQ4C,EAAEH,EAAEG,EAAE3C,EAAE2C,GAAG1F,EAAE,CAAC,IAAIiG,EAAEP,EAAE7C,EAAE,QAAQqD,EAAGjD,EAAEiD,EAAGhD,EAAEgD,GAAIjG,EAAE,CAAC,IAAIkG,EAAGD,EAAGlD,EAAEoD,GAAGrI,EAAE,IAAIkE,EAAEoB,EAAEqC,EAAEQ,EAAG,CAAC,EAAEE,IAAIjD,IAAIA,EAAEiD,GAAGhD,EAAE4C,EAAErF,EAAEC,EAAEqF,EAAEtF,EAAEwF,EAAG,CAAC,CAAC,CAAClI,EAAE,IAAImF,EAAEnB,EAAEqD,EAAE1C,EAAE4C,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOvH,CAAC,CAAC,SAASo8E,GAAGt8E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE0wE,GAAG1wE,EAAE,SAAS,EAAE,GAAG,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,CAAC,EAAE5B,EAAE6B,EAAE,EAAE0kB,EAAE,OAAOwzB,EAAE,+BAA+B,EAAEl4C,CAAC,EAAE,IAAI,wEAAwE,oBAAoBA,IAAI,EAAE,IAAIS,EAAEy3C,EAAE,kBAAkB95C,EAAE,MAAM,EAAE,EAAE4B,EAAEF,EAAEC,CAAC,EAAEW,EAAE,GAAGD,EAAE,cAAc,GAAGA,EAAE,eAAe,GAAGikB,EAAE,YAAYjkB,EAAE,QAAQA,EAAE,QAAQ,EAAEC,EAAE6xE,GAAG,CAAC,OAAO,CAAC,EAAEn0E,CAAC,EAAE,QAAQL,CAAC,CAAC,MAAM,CAAC,IAAI4C,EAAE5C,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOwC,EAAE8jB,EAAE,eAAetmB,EAAE,KAAK,EAAEyC,EAAEk5E,GAAGp5E,EAAEvC,EAAE,MAAMA,EAAE,MAAMwC,EAAEH,EAAE,KAAK,EAAEC,EAAE3C,EAAE,eAAe0C,EAAE,SAASrC,EAAE,MAAMyC,EAAE,MAAM,CAAC,CAAC,OAAOH,CAAC,CAAC,IAAI05E,GAAG,CAAC,WAAWvgE,GAAG,YAAY,MAAM,WAAWsgE,EAAE,EAAE,SAASE,GAAGx8E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,EAAE,WAAWC,CAAC,EAAE7B,EAAE2wE,GAAG1wE,EAAE,WAAW,EAAE,IAAIqC,EAAEy3C,EAAE,kBAAkB95C,EAAE,MAAM,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,CAAC,EAAEU,EAAE3C,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOuC,EAAEs5E,GAAGv5E,EAAEtC,EAAE,MAAMA,EAAE,MAAMsmB,EAAE,eAAetmB,EAAE,KAAK,EAAEqC,EAAE,KAAK,EAAE,OAAO1C,EAAE,eAAe4C,EAAE,MAAM,UAAUA,EAAE,MAAM,CAAC,CAAC,IAAI25E,GAAG,CAAC,WAAWvgE,GAAG,YAAY,MAAM,WAAWsgE,EAAE,EAAE,SAASE,GAAG18E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,MAAM,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ0B,EAAE,IAAIC,EAAE,gBAAgBC,CAAC,EAAE7B,EAAE2wE,GAAG,CAAC1wE,EAAE,CAAC,EAAE,eAAe,EAAE,IAAIqC,EAAEy3C,EAAE,kBAAkB,EAAE,MAAM,EAAEp4C,EAAE,EAAEC,EAAEC,CAAC,EAAEU,EAAED,EAAE,YAAYE,EAAEF,EAAE,aAAaG,EAAEH,EAAE,YAAYI,EAAEJ,EAAE,YAAYsB,EAAEtB,EAAE,aAAa,EAAEA,EAAE,YAAY2E,EAAE3E,EAAE,cAAcmC,EAAEnC,EAAE,eAAe+B,EAAE/B,EAAE,cAAcgC,EAAEhC,EAAE,qBAAqBiC,EAAEjC,EAAE,sBAAsBkC,EAAElC,EAAE,qBAAqB4E,EAAE5C,EAAE,EAAEhC,EAAE,QAAQ,MAAMoC,EAAEF,EAAE,EAAElC,EAAE,QAAQ,KAAK6E,EAAE5C,EAAE,EAAEjC,EAAE,QAAQ,IAAIqC,EAAEqrB,GAAG,EAAE,MAAM,SAAS,EAAEprB,EAAE,GAAGlC,EAAEkB,EAAE,GAAGiB,EAAEjF,EAAE,WAAWK,CAAC,EAAE,QAAQ6E,EAAE,EAAEA,EAAExC,EAAE,UAAU,EAAEwC,EAAE,QAAQC,EAAE,EAAEA,EAAEzC,EAAE,WAAW,EAAEyC,EAAE,QAAQC,EAAE,EAAEA,EAAE1C,EAAE,QAAQ,EAAE0C,EAAE,QAAQ2C,EAAE,EAAEA,EAAErF,EAAE,SAAS,EAAEqF,EAAE,QAAQN,EAAE,EAAEA,EAAE/E,EAAE,QAAQ,EAAE+E,EAAE,CAAC,IAAIO,EAAE5C,EAAEkC,EAAEW,EAAGF,EAAER,EAAEW,EAAGT,EAAE3C,EAAEqD,GAAG,EAAE,QAAQC,GAAG,EAAEA,GAAG1D,EAAE0D,IAAIf,EAAE,CAAC,IAAIgB,IAAIL,EAAEI,IAAIzF,EAAE,GAAG,EAAE0F,GAAG,GAAGA,IAAI3F,EAAE,UAAU,KAAK,MAAM2F,EAAE,IAAIA,IAAI,QAAQ5B,GAAG,EAAEA,GAAG9B,EAAE8B,IAAI5B,EAAE,CAAC,IAAI0D,IAAIN,EAAGxB,IAAI7D,EAAE,GAAG,EAAE2F,GAAG,GAAGA,IAAI7F,EAAE,WAAW,KAAK,MAAM6F,EAAE,IAAIA,IAAI,QAAQC,GAAG,EAAEA,GAAG5D,EAAE4D,IAAI/D,EAAE,CAAC,IAAIgE,IAAIP,EAAGM,IAAI3F,EAAK4F,GAAG,GAAGA,IAAI/F,EAAE,UAAU,KAAK,MAAM+F,EAAE,IAAIA,KAAYN,IAAIlD,EAAE,IAAIC,EAAEmD,GAAGE,GAAGE,GAAGtD,CAAC,EAAC,CAAC,CAAC,CAACJ,EAAE,IAAIoD,GAAGnD,EAAEE,EAAEE,EAAE2C,EAAEN,EAAEtC,CAAC,CAAC,CAAC,OAAOnF,EAAE,eAAe+E,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAI03E,GAAG,CAAC,WAAWxgE,GAAG,YAAY,MAAM,WAAWugE,EAAE,EAAE,SAASE,GAAG58E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,MAAM,CAAC,EAAE,EAAE,EAAE,EAAE0wE,GAAG,CAAC1wE,EAAE,CAAC,EAAE,aAAa,EAAE,GAAG,CAAC,WAAW0B,EAAE,QAAQC,EAAE,IAAIC,CAAC,EAAE7B,EAAEsC,EAAEy3C,EAAE,kBAAkB,EAAE,MAAMp4C,EAAEC,EAAE,EAAEC,CAAC,EAAEU,EAAED,EAAE,aAAaE,EAAEF,EAAE,YAAYG,EAAEH,EAAE,aAAaI,EAAEJ,EAAE,YAAYsB,EAAEtB,EAAE,eAAe,EAAEA,EAAE,cAAc2E,EAAE3E,EAAE,sBAAsBmC,EAAEnC,EAAE,qBAAqB+B,EAAEI,EAAE,EAAEnC,EAAE,QAAQ,KAAKgC,EAAE2C,EAAE,EAAE3E,EAAE,QAAQ,IAAIiC,EAAEyrB,GAAG,EAAE,MAAM,SAAS,EAAExrB,EAAE,GAAG/B,EAAEC,GAAGwE,EAAEtH,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOyE,EAAEsrB,GAAG/vB,EAAE,MAAM,UAAUiH,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE7E,EAAE,UAAU,EAAE6E,EAAE,QAAQxC,EAAE,EAAEA,EAAErC,EAAE,WAAW,EAAEqC,EAAE,QAAQC,EAAE,EAAEA,EAAEtC,EAAE,SAAS,EAAEsC,EAAE,QAAQC,EAAE,EAAEA,EAAEvC,EAAE,QAAQ,EAAEuC,EAAE,CAAC,IAAIC,EAAEF,EAAEN,EAAES,EAAEF,EAAER,EAAEW,EAAE,EAAE,QAAQ2C,EAAE,EAAEA,EAAEV,EAAEU,GAAG/D,EAAE,CAAC,IAAIyD,GAAGvC,EAAE6C,GAAGpF,EAAE,GAAG,EAAE8E,EAAE,GAAGA,GAAG/E,EAAE,WAAW,KAAK,MAAM+E,CAAC,IAAIA,GAAG,QAAQO,EAAE,EAAEA,EAAEnD,EAAEmD,GAAG,EAAE,CAAC,IAAIC,GAAI9C,EAAE6C,GAAGpF,EAAKqF,EAAG,GAAGA,GAAIvF,EAAE,UAAU,KAAK,MAAMuF,CAAE,IAAIA,IAAY7C,GAAGN,EAAE,IAAIyC,EAAEE,EAAEQ,EAAGlD,CAAC,EAAC,CAAC,CAACJ,EAAE,IAAIS,EAAER,EAAE2C,EAAEvC,EAAEC,EAAEF,CAAC,CAAC,CAAC,OAAO/E,EAAE,eAAe2E,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIg4E,GAAG,CAAC,WAAW5gE,GAAG,YAAY,MAAM,WAAW2gE,EAAE,EAAE,SAASE,GAAG98E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,MAAM,EAAE,OAAO,EAAE,KAAK0B,EAAE,SAASC,CAAC,EAAE,EAAE2kB,EAAE,OAAO5kB,EAAE,MAAM,SAASC,EAAE,MAAM,OAAO,IAAI,8EAA8E,EAAE2kB,EAAE,OAAO,GAAG,MAAM5kB,EAAE,MAAM,SAAS,EAAE,MAAM,OAAO,IAAI,4EAA4E,EAAE4kB,EAAE,OAAO,GAAG,MAAM5kB,EAAE,MAAM,SAAS,EAAE,MAAM,OAAO,IAAI,2EAA2E,EAAEgvE,GAAG,CAAC1wE,EAAE0B,EAAEC,EAAE,EAAE,CAAC,EAAE,WAAW,EAAE,GAAG,CAAC,gBAAgBC,CAAC,EAAE7B,EAAE6B,GAAG,OAAOA,EAAE,MAAM,IAAIS,EAAE1C,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOsC,EAAE3C,EAAE,KAAK,IAAI+B,EAAE,MAAM,EAAE,OAAOa,EAAE5C,EAAE,KAAK,IAAIgC,EAAE,MAAM,EAAE,OAAOa,EAAE,EAAE7C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,IAAI,aAAa,CAAC,CAAC,CAAC,EAAE8C,EAAE,EAAE9C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,IAAI,aAAa,CAAC,CAAC,CAAC,EAAEgE,EAAE,IAAI,aAAatB,EAAE,MAAM,EAAE,EAAEI,EAAE,OAAOuE,EAAExE,EAAE,OAAOgC,EAAEjC,EAAE,OAAO6B,EAAE9B,EAAE,OAAO+B,EAAE,EAAEC,EAAE,EAAEC,EAAE,EAAE0C,EAAE,EAAE,QAAQxC,EAAE,EAAEA,EAAEpC,EAAE,OAAO,EAAEoC,EAAEd,EAAEc,GAAGhC,EAAE4B,MAAMhC,EAAEoC,GAAGnC,EAAEgC,MAAM9B,EAAE+B,KAAK,KAAK,KAAKhC,EAAE0E,KAAKrF,CAAC,EAAEyC,GAAG,IAAIA,EAAE,GAAGC,GAAGF,IAAIE,EAAE,GAAGC,GAAGyC,IAAIzC,EAAE,GAAG0C,GAAGzC,IAAIyC,EAAE,GAAG,OAAOtH,EAAE,eAAeK,EAAE,MAAMA,EAAE,MAAM2D,CAAC,CAAC,CAAC,IAAI64E,GAAG,CAAC,WAAW99D,GAAG,YAAY,MAAM,WAAW69D,EAAE,EAAE,SAASE,GAAGh9E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,MAAM,CAAC,EAAED,EAAE2wE,GAAG,CAAC1wE,CAAC,EAAE,gBAAgB,EAAE,IAAI0B,EAAE,EAAE,OAAO,CAACsF,EAAExC,IAAIwC,EAAExC,CAAC,EAAE7C,EAAEm4C,EAAE,YAAY95C,EAAE,MAAM,EAAE0B,CAAC,EAAEE,EAAEk4C,EAAE,YAAYn4C,EAAE,OAAO,EAAE,MAAM,EAAEU,EAAEy3C,EAAE,oBAAoB95C,EAAE,MAAM,EAAE0B,CAAC,EAAEY,EAAEw3C,EAAE,oBAAoB,EAAE,EAAE,MAAM,EAAEv3C,EAAEu3C,EAAE,aAAaz3C,EAAE,EAAE,EAAE,MAAM,EAAEG,EAAEo3E,GAAG,CAAC,OAAO,CAAC,EAAE55E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAMgC,CAAC,CAAC,CAAC,EAAEc,EAAEu0E,GAAG,CAAC,OAAO,CAAC,EAAEx0E,CAAC,EAAE,QAAQ7C,EAAE,MAAM,CAAC,KAAKiC,CAAC,CAAC,CAAC,EAAE+B,EAAEi2E,GAAG,CAAC,OAAO,CAAC,EAAEn3E,CAAC,EAAE,QAAQ9C,EAAE,MAAM,CAAC,MAAM0C,CAAC,CAAC,CAAC,EAAE,EAAE81E,GAAG,CAAC,OAAO,CAAC,EAAEx0E,CAAC,EAAE,QAAQhE,EAAE,MAAM,CAAC,MAAM2C,EAAE,KAAKC,CAAC,CAAC,CAAC,EAAE,OAAO5C,EAAE,8BAA8B6C,CAAC,EAAE7C,EAAE,8BAA8B8C,CAAC,EAAE9C,EAAE,8BAA8BgE,CAAC,EAAE,CAAC,CAAC,IAAI+4E,GAAG,CAAC,WAAW5gE,GAAG,YAAY,MAAM,WAAW2gE,EAAE,EAAE,SAASE,GAAGl9E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE2B,EAAE/B,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO2B,EAAEhC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOiC,EAAEmvE,GAAGrvE,EAAEC,EAAE,EAAE,MAAM,EAAE,MAAM,CAAC,EAAE,OAAOhC,EAAE,eAAe,CAAC,CAAC,EAAE,EAAE,MAAMiC,CAAC,CAAC,CAAC,IAAIg7E,GAAG,CAAC,WAAW7gE,GAAG,YAAY,MAAM,WAAW4gE,EAAE,EAAE,SAASE,GAAGp9E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,GAAGM,EAAE,GAAGC,CAAC,EAAE,EAAE,EAAEL,EAAE,KAAK,IAAII,EAAE,MAAM,EAAE,OAAO,EAAEJ,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO0B,EAAEo4C,EAAE,2BAA2B,MAAM,KAAK,CAAC,EAAE,MAAM,KAAK,CAAC,CAAC,EAAE,OAAOn6C,EAAE,eAAe,CAAC+B,EAAE,MAAM,EAAE,QAAQ,WAAW,KAAKA,CAAC,CAAC,CAAC,CAAC,IAAIo7E,GAAG,CAAC,WAAW7gE,GAAG,YAAY,MAAM,WAAW4gE,EAAE,EAAME,GAAGhI,GAAG34D,GAAG,CAAC3c,EAAE,IAAI,CAAC,IAAIE,EAAE,EAAE,OAAOF,EAAEE,EAAE,aAAaA,EAAE,aAAaF,EAAEE,EAAE,aAAaA,EAAE,aAAaF,CAAC,CAAC,EAAEu9E,GAAG,CAAC,WAAW5gE,GAAG,YAAY,MAAM,WAAW2gE,EAAE,EAAME,GAAGx9E,GAAG,CAAC,GAAG,CAAC,EAAE,CAAC,EAAEA,EAAE,OAAOE,EAAEF,EAAE,QAAQM,EAAE,IAAI,aAAaumB,EAAE,cAAc,EAAE,KAAK,CAAC,EAAEtmB,EAAEL,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,EAAEK,EAAE,mBAAmB,KAAK,EAAEA,EAAE,mBAAmB,KAAK0B,EAAE/B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOgC,EAAEhC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,QAAQiC,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,CAAC,IAAIS,EAAEX,EAAEE,GAAGU,EAAEX,EAAEC,GAAG7B,EAAE6B,GAAG,KAAK,MAAMS,EAAEC,CAAC,CAAC,CAAC,OAAO3C,EAAE,WAAWI,EAAE,EAAE,MAAM,SAAS,CAAC,EAAEm9E,GAAG,CAAC,WAAW5gE,GAAG,YAAY,MAAM,WAAW2gE,EAAE,EAAE,SAASE,GAAG19E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMM,CAAC,EAAE,EAAEC,EAAEL,EAAE,KAAK,IAAII,EAAE,MAAM,EAAE,mBAAmB,KAAK,EAAEJ,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO,OAAOL,EAAE,eAAeK,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,CAAC,IAAIo9E,GAAG,CAAC,WAAWn+D,GAAG,YAAY,MAAM,WAAWk+D,EAAE,EAAE,SAASE,GAAG59E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,KAAKO,CAAC,EAAED,EAAE,EAAEumB,EAAE,eAAetmB,EAAE,EAAE,GAAG,KAAK,EAAE,GAAG,EAAE,EAAE,IAAI2D,GAAGA,EAAE,KAAK,EAAEm2C,EAAE,uBAAuB,EAAE,CAAC,EAAE,IAAIp4C,EAAEo4C,EAAE,gBAAgB,EAAE,IAAIn2C,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAE,GAAG2iB,EAAE,cAAc5kB,CAAC,IAAI,EAAE,OAAO/B,EAAE,eAAe+B,EAAE,EAAE,GAAG,MAAM,CAAC,CAAC,EAAE,IAAIC,EAAE,EAAE,OAAOgC,GAAG2iB,EAAE,cAAc3iB,EAAE,KAAK,EAAE,CAAC,EAAE,GAAGhC,EAAE,SAAS,EAAE,OAAOwyE,GAAG,CAAC,OAAO,CAAC,EAAExyE,EAAE,EAAE,EAAE,QAAQhC,CAAC,CAAC,EAAE,GAAGgC,EAAE,GAAG,QAAQ,YAAY,CAAC,IAAIgC,EAAEhC,EAAE,IAAI0C,GAAGgwE,GAAG,CAAC,OAAO,CAAC,MAAMhwE,CAAC,EAAE,QAAQ1E,CAAC,CAAC,CAAC,EAAE,EAAEgC,EAAE,IAAI0C,GAAG84E,GAAG,CAAC,OAAO,CAAC,MAAM94E,CAAC,EAAE,QAAQ1E,CAAC,CAAC,CAAC,EAAEqH,EAAEq2E,GAAG,CAAC,OAAO15E,EAAE,QAAQhE,EAAE,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE6E,EAAE64E,GAAG,CAAC,OAAO,EAAE,QAAQ19E,EAAE,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,EAAEyE,EAAE4vE,GAAG,CAAC,OAAO,CAAC,KAAKhtE,EAAE,KAAKxC,CAAC,EAAE,QAAQ7E,CAAC,CAAC,EAAE,OAAOgE,EAAE,QAAQU,GAAG1E,EAAE,8BAA8B0E,CAAC,CAAC,EAAE,EAAE,QAAQA,GAAG1E,EAAE,8BAA8B0E,CAAC,CAAC,EAAE1E,EAAE,8BAA8BqH,CAAC,EAAErH,EAAE,8BAA8B6E,CAAC,EAAEJ,CAAC,CAAC,IAAIxC,EAAED,EAAE,IAAIgC,GAAG,CAAC,IAAI,EAAE2iB,EAAE,cAAc3iB,EAAE,MAAM,MAAM,CAAC,CAAC,EAAE,OAAOi2E,GAAG,CAAC,OAAO,CAAC,EAAEj2E,CAAC,EAAE,QAAQhE,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE0C,EAAET,EAAE,IAAI+B,IAAI,CAAC,KAAKhE,EAAE,KAAK,IAAIgE,EAAE,MAAM,EAAE,OAAO,MAAMA,EAAE,KAAK,EAAE,EAAEjC,EAAEo4C,EAAE,gBAAgBl4C,EAAE,IAAI+B,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAE,IAAIrB,EAAEV,EAAE,GAAG,MAAM,KAAK,EAAEW,EAAE4uE,GAAG9uE,EAAEX,EAAE,EAAE,GAAG,MAAMY,CAAC,EAAEE,EAAEs3C,EAAE,gBAAgBn4C,EAAE,IAAIgC,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAElB,EAAE9C,EAAE,eAAe6C,EAAE,EAAE,GAAG,MAAMD,CAAC,EAAE,OAAOX,EAAE,QAAQ+B,GAAGhE,EAAE,8BAA8BgE,CAAC,CAAC,EAAElB,CAAC,CAAC,IAAI66E,GAAG,CAAC,WAAW/gE,GAAG,YAAY,MAAM,WAAW8gE,EAAE,EAAE,SAASE,GAAG99E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,WAAWC,EAAE,UAAUC,EAAE,gBAAgBS,CAAC,EAAEtC,EAAE2wE,GAAG,CAAC1wE,EAAE,CAAC,EAAE,QAAQ,EAAE,IAAIsC,EAAEw3C,EAAE,wBAAwBn4C,CAAC,EAAEY,EAAEu3C,EAAE,kBAAkB95C,EAAE,MAAM,EAAE,MAAM,EAAE4B,EAAEF,EAAEW,EAAE,GAAGC,CAAC,EAAEE,EAAED,EAAE,aAAaE,EAAEF,EAAE,YAAYoB,EAAEpB,EAAE,eAAe,EAAEA,EAAE,cAAcyE,EAAEzE,EAAE,QAAQ,KAAKiC,EAAEjC,EAAE,QAAQ,IAAI6B,EAAE7B,EAAE,aAAa,eAAe8B,EAAE,IAAIykB,GAAGvmB,EAAE,SAASvC,EAAE,KAAK,EAAEsE,EAAEgiB,EAAE,eAAetmB,EAAE,KAAK,EAAEuE,EAAE+hB,EAAE,eAAe,EAAE,KAAK,EAAErf,EAAE3C,EAAE,GAAGG,EAAEL,EAAEE,EAAE,GAAGA,EAAE,GAAG4C,EAAE9C,EAAEE,EAAE,GAAG,EAAEI,EAAEN,EAAE,EAAEE,EAAE,GAAGK,EAAEN,EAAE,QAAQ,GAAGO,EAAER,EAAEC,EAAE,QAAQ,GAAGA,EAAE,QAAQ,GAAGQ,EAAET,EAAEC,EAAE,QAAQ,GAAG,EAAES,EAAEV,EAAE,EAAEC,EAAE,QAAQ,GAAGU,EAAEpF,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO0H,EAAE/H,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOyH,EAAE/C,EAAE,OAAO,QAAQsD,EAAE,EAAEA,EAAEpF,EAAE,UAAU,EAAEoF,EAAE,CAAC,IAAIC,EAAGD,EAAEV,EAAEY,EAAGF,EAAEhD,EAAE,QAAQmD,GAAG,EAAEA,GAAGvF,EAAE,UAAU,EAAEuF,GAAG,CAAC,IAAIC,GAAGF,EAAGC,GAAGlD,EAAEoD,GAAGF,GAAGvF,EAAE,aAAaiC,EAAE,QAAQ4B,GAAG,EAAEA,GAAG5D,EAAE,EAAE4D,GAAG,CAAC,IAAI8B,GAAGF,GAAG5B,GAAGzC,EAAE,GAAGuE,GAAG,GAAGA,IAAI3F,EAAE,SAAS,SAAS,IAAI4F,GAAG/B,GAAG7B,EAAE,GAAG6D,GAAGR,EAAGM,GAAGzD,EAAE,QAAQ4D,GAAG,EAAEA,GAAG9F,EAAE,SAAS,EAAE8F,GAAG,CAAC,IAAIC,GAAGP,GAAGM,GAAGxD,EAAE0D,GAAGF,GAAG9F,EAAE,YAAYyE,EAAE,QAAQ4B,GAAG,EAAEA,GAAGnG,EAAE,EAAEmG,GAAG,CAAC,IAAIC,GAAGN,GAAGK,GAAG,EAAE,GAAGC,GAAG,GAAGA,IAAItG,EAAE,QAAQ,SAAS,IAAIuG,GAAGX,GAAGS,GAAGrE,EAAE,GAAG8B,GAAG+B,GAAGS,GAAG3B,EAAEX,GAAGuC,GAAG,QAAQtC,GAAG,EAAEA,GAAGjE,EAAE,WAAW,EAAEiE,GAAG,CAAC,IAAIC,GAAG1B,EAAEsB,GAAGG,GAAG9B,GAAG,QAAQqE,GAAG,EAAEA,GAAGxG,EAAE,YAAY,EAAEwG,GAAG3B,EAAEkB,GAAGS,GAAGjE,IAAI2B,GAAGiB,EAAEnB,GAAGwC,IAAIxC,IAAIhE,EAAE,WAAW,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO5C,EAAE,eAAe0E,EAAE,MAAMA,EAAE,MAAM+C,CAAC,CAAC,CAAC,IAAIo2E,GAAG,CAAC,WAAWhhE,GAAG,YAAY,MAAM,WAAW+gE,EAAE,EAAE,SAASE,GAAGh+E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,WAAWC,EAAE,gBAAgBC,EAAE,YAAYS,CAAC,EAAEtC,EAAE2wE,GAAG,CAAC1wE,EAAE,CAAC,EAAE,sBAAsB,EAAE,IAAIsC,EAAEw3C,EAAE,wBAAwBn4C,CAAC,EAAEY,EAAEu3C,EAAE,kBAAkB95C,EAAE,MAAMqC,EAAE,EAAE,EAAEX,EAAEE,EAAE,GAAGU,CAAC,EAAE,CAAC,aAAaE,EAAE,YAAYC,EAAE,aAAakB,EAAE,YAAY,CAAC,EAAEpB,EAAEyE,EAAEzE,EAAE,aAAa,eAAeiC,EAAE,IAAIskB,GAAGvmB,EAAE,YAAY,SAAS,EAAE6B,EAAE7B,EAAE,QAAQ,KAAK8B,EAAE9B,EAAE,QAAQ,IAAI+B,EAAE3E,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOuE,EAAE5E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOsH,EAAE,IAAI6hB,GAAG9oB,EAAE,MAAMA,EAAE,MAAMsE,CAAC,EAAEG,EAAE,IAAIqkB,GAAG,EAAE,MAAM,EAAE,MAAMvkB,CAAC,EAAE,QAAQ2C,EAAE,EAAEA,EAAEvD,EAAE,EAAEuD,EAAE,CAAC,IAAIxC,EAAE,KAAK,IAAI,EAAE,KAAK,MAAML,EAAE6C,GAAG1E,CAAC,CAAC,EAAEmC,EAAE,KAAK,IAAIpC,EAAE,WAAWA,EAAE,SAAS8B,EAAE6C,GAAG1E,CAAC,EAAE,QAAQoC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAE,KAAK,IAAI,EAAE,KAAK,MAAMT,EAAEQ,GAAGnC,CAAC,CAAC,EAAEqC,EAAE,KAAK,IAAIvC,EAAE,UAAUA,EAAE,QAAQ6B,EAAEQ,GAAGnC,CAAC,EAAE,QAAQsC,EAAE,EAAEA,EAAExC,EAAE,WAAW,EAAEwC,EAAE,QAAQ2C,EAAE,EAAEA,EAAEnF,EAAE,YAAY,EAAEmF,EAAE,CAAC,IAAIN,EAAE,EAAE,QAAQO,EAAE,EAAEA,EAAEpF,EAAE,UAAU,EAAEoF,EAAE,QAAQC,EAAGlD,EAAEkD,EAAGjD,EAAE,EAAEiD,EAAG,CAAC,IAAIC,EAAGX,EAAEU,EAAGpF,EAAE6B,EAAE,QAAQyD,GAAGjD,EAAEiD,GAAGhD,EAAE,EAAEgD,GAAG,CAAC,IAAIC,GAAGnD,EAAEkD,GAAGrF,EAAE2B,EAAE4C,EAAEI,GAAGH,EAAE,IAAIU,EAAEE,EAAGE,GAAGhD,CAAC,EAAEN,EAAE,IAAIkD,EAAEC,EAAGE,GAAGJ,CAAC,EAAEN,GAAGH,EAAE,IAAIU,EAAE5C,EAAE8C,EAAGE,EAAE,EAAEtD,EAAE,IAAIkD,EAAED,EAAEE,EAAGE,EAAE,CAAC,CAAC,CAACtD,EAAE,IAAI4C,EAAEF,EAAEtC,EAAEG,EAAE2C,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO/H,EAAE,eAAe6E,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIk5E,GAAG,CAAC,WAAWjhE,GAAG,YAAY,MAAM,WAAWghE,EAAE,EAAE,SAASE,GAAGl+E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ0B,EAAE,IAAIC,EAAE,WAAWC,EAAE,gBAAgBS,CAAC,EAAEtC,EAAE2wE,GAAG,CAAC1wE,EAAE,CAAC,EAAE,qBAAqB,EAAE,IAAIsC,EAAEgkB,EAAE,eAAe,EAAE,KAAK,EAAE/jB,EAAE+jB,EAAE,eAAetmB,EAAE,KAAK,EAAEwC,EAAEs3C,EAAE,wBAAwBl4C,CAAC,EAAEa,EAAEq3C,EAAE,kBAAkB,EAAE,EAAE,MAAMp4C,EAAE,EAAEC,EAAEU,EAAE,GAAGG,CAAC,EAAEmB,EAAE,IAAImlB,GAAGrmB,EAAE,QAAQ,SAAS,EAAE,EAAEkB,EAAE,OAAOqD,EAAErH,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOwE,EAAE7E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAACyE,EAAEC,EAAEC,CAAC,EAAEhC,EAAE,CAAC,UAAUiC,EAAE,aAAa0C,EAAE,YAAYxC,EAAE,WAAWyC,EAAE,SAASxC,EAAE,QAAQC,EAAE,YAAYC,EAAE,UAAUC,EAAE,SAASC,EAAE,aAAaC,EAAE,YAAY2C,CAAC,EAAEjF,EAAED,EAAEC,EAAE,WAAW,IAAI2E,EAAEH,EAAE,EAAExE,EAAE,QAAQ,IAAIkF,EAAElD,EAAE,EAAEhC,EAAE,QAAQ,KAAKmF,EAAGpF,IAAI,eAAeqF,EAAGlE,EAAE,QAAQ,GAAGmE,GAAGF,EAAGjE,EAAE,QAAQ,GAAGA,EAAE,QAAQ,GAAGoE,GAAGH,EAAGjE,EAAE,QAAQ,GAAG,EAAEqE,GAAGJ,EAAG,EAAEjE,EAAE,QAAQ,GAAGyC,GAAG7D,EAAE,GAAG2F,GAAGN,EAAGrF,EAAE,GAAGA,EAAE,GAAG4F,GAAGP,EAAGrF,EAAE,GAAG,EAAE6F,GAAGR,EAAG,EAAErF,EAAE,GAAG,QAAQ8F,GAAG,EAAEA,GAAG9D,EAAE,EAAE8D,GAAG,QAAQC,GAAG,EAAEA,GAAGpB,EAAE,EAAEoB,GAAG,QAAQC,GAAG,EAAEA,GAAG7D,EAAE,EAAE6D,GAAG,CAAC,IAAIK,GAAGL,GAAGnB,EAAEyB,GAAG,KAAK,IAAI,EAAE,KAAK,KAAKD,GAAG7D,CAAC,CAAC,EAAE+D,GAAG,KAAK,IAAIjE,GAAGoC,EAAE2B,IAAI7D,CAAC,EAAE,QAAQsB,GAAG,EAAEA,GAAG1B,EAAE,EAAE0B,GAAG,CAAC,IAAIE,GAAGF,GAAGsB,EAAEnB,GAAG,KAAK,IAAI,EAAE,KAAK,KAAKD,GAAGmB,CAAC,CAAC,EAAEjB,GAAG,KAAK,IAAI3B,GAAGL,EAAE8B,IAAImB,CAAC,EAAEqB,GAAG,EAAE,QAAQpC,GAAGkC,GAAGlC,GAAGmC,GAAG,EAAEnC,GAAG,CAAC,IAAIC,GAAGD,GAAG5B,EAAE6D,GAAG,QAAQ/B,GAAGL,GAAGK,GAAGJ,GAAG,EAAEI,GAAG,CAAC,IAAIP,GAAGO,GAAGa,EAAEnB,GAAGyC,GAAG5C,GAAGiC,GAAGH,GAAGvB,GAAGwB,GAAGtB,GAAGoC,GAAG7E,GAAG6C,EAAE,EAAEL,IAAIvC,GAAGI,EAAE,EAAE6B,IAAIhC,EAAEgE,GAAG,QAAQY,GAAG,EAAEA,GAAGtE,EAAE,EAAEsE,GAAG,CAAC,IAAIC,GAAGnC,EAAEgC,GAAGZ,GAAGc,IAAIE,GAAG5E,EAAEyE,GAAGC,IAAIH,IAAII,GAAGC,EAAE,CAAC,CAAC,CAAC,IAAI1C,GAAGmB,EAAGQ,GAAGP,GAAGS,GAAGR,GAAG1B,GAAG2B,GAAGM,GAAG,EAAE5B,IAAIqC,EAAE,CAAC,CAAC,OAAOpJ,EAAE,eAAegE,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIi6E,GAAG,CAAC,WAAWlhE,GAAG,YAAY,MAAM,WAAWihE,EAAE,EAAE,SAASE,GAAGp+E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,UAAUC,CAAC,EAAE5B,EAAE2wE,GAAG,CAAC1wE,EAAE,CAAC,EAAE,QAAQ,EAAE,IAAI4B,EAAEk4C,EAAE,kBAAkB95C,EAAE,MAAM,EAAE,MAAM,EAAE2B,EAAED,CAAC,EAAE,CAAC,YAAYW,EAAE,aAAaC,EAAE,YAAYC,EAAE,cAAcC,EAAE,eAAeC,EAAE,cAAckB,EAAE,QAAQ,CAAC,EAAE/B,EAAEoF,EAAE,EAAE,MAAMxC,EAAE,EAAE,KAAKJ,EAAE,EAAE,IAAIC,EAAE,IAAIykB,GAAGlnB,EAAE,SAAS5B,EAAE,KAAK,EAAEsE,EAAE3E,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOuE,EAAE5E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOsH,EAAE5C,EAAE,OAAOI,EAAE6hB,EAAE,eAAetmB,EAAE,KAAK,EAAEkH,EAAEof,EAAE,eAAe,EAAE,KAAK,EAAE,QAAQ5hB,EAAE,EAAEA,EAAE9C,EAAE,UAAU,EAAE8C,EAAE,CAAC,IAAIC,EAAED,EAAED,EAAE,GAAGG,EAAEF,EAAEL,EAAE,QAAQ,GAAG,QAAQQ,EAAE,EAAEA,EAAEjD,EAAE,SAAS,EAAEiD,EAAE,CAAC,IAAIC,EAAEF,EAAEC,EAAER,EAAE,QAAQ,GAAGU,EAAEF,EAAEjD,EAAE,YAAYoF,EAAE,QAAQU,EAAE,EAAEA,EAAErF,EAAE,EAAEqF,EAAE,CAAC,IAAIN,EAAErC,EAAE2C,EAAElF,EAAE,GAAG4E,EAAE,GAAGA,GAAGxF,EAAE,QAAQ,SAAS,IAAI+F,EAAED,EAAER,EAAE,GAAGU,EAAGjD,EAAEyC,EAAE3C,EAAE,GAAG,QAAQoD,EAAG,EAAEA,EAAGjG,EAAE,UAAU,EAAEiG,EAAG,CAAC,IAAIC,GAAGhD,EAAE+C,EAAGxD,EAAE,QAAQ,GAAG0D,GAAGF,EAAGjG,EAAE,aAAawC,EAAE,QAAQ4D,GAAG,EAAEA,GAAG1F,EAAE,EAAE0F,GAAG,CAAC,IAAI5B,GAAG2B,GAAGC,GAAGvF,EAAE,GAAG2D,GAAG,GAAGA,IAAIxE,EAAE,SAAS,SAAS,IAAIsG,GAAGP,EAAEK,GAAGd,EAAE,GAAGiB,GAAGP,EAAGxB,GAAG3B,EAAE,GAAG,QAAQ2D,GAAG,EAAEA,GAAGxG,EAAE,SAAS,EAAEwG,GAAG,CAAC,IAAIC,GAAGP,GAAGM,GAAGxG,EAAE,YAAY0G,GAAGF,GAAGxG,EAAE,YAAY4C,EAAE,QAAQ+D,GAAG,EAAEA,GAAGhG,EAAE,EAAEgG,GAAG,CAAC,IAAIK,GAAGN,GAAGC,GAAG5E,EAAE,GAAGiF,GAAG,GAAGA,IAAIhH,EAAE,QAAQ,SAAS,IAAIiH,GAAGX,GAAGK,GAAGrB,EAAE,GAAG4B,GAAGX,GAAGS,GAAGhH,EAAE,WAAWyE,GAAGwC,GAAG,QAAQtC,GAAG,EAAEA,GAAG3E,EAAE,WAAW,EAAE2E,GAAG,CAAC,IAAIC,GAAGlC,EAAEwE,GAAGvC,IAAI,QAAQE,GAAG,EAAEA,GAAG7E,EAAE,YAAY,EAAE6E,GAAGQ,EAAEoB,GAAG5B,KAAKD,GAAGjC,EAAE8B,GAAGI,IAAIJ,IAAIzE,EAAE,WAAW,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOjC,EAAE,eAAe0E,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIy5E,GAAG,CAAC,WAAWnhE,GAAG,YAAY,MAAM,WAAWkhE,EAAE,EAAE,SAASE,GAAGt+E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,YAAYC,CAAC,EAAE5B,EAAE2wE,GAAG,CAAC1wE,EAAE,CAAC,EAAE,wBAAwB,EAAE,IAAI4B,EAAE0kB,EAAE,eAAetmB,EAAE,KAAK,EAAEqC,EAAEikB,EAAE,eAAe,EAAE,KAAK,EAAEhkB,EAAEw3C,EAAE,kBAAkB95C,EAAE,MAAM2B,EAAE,EAAE,EAAED,CAAC,EAAEa,EAAED,EAAE,YAAYE,EAAEF,EAAE,aAAaG,EAAEH,EAAE,YAAYqB,EAAErB,EAAE,YAAY,EAAEA,EAAE,aAAa0E,EAAE1E,EAAE,YAAYkC,EAAE,IAAIskB,GAAGxmB,EAAE,YAAY,SAAS,EAAE8B,EAAEI,EAAE,OAAO,CAACH,EAAEC,EAAEC,EAAE0C,CAAC,EAAEzC,EAAE,QAAQC,EAAE9E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAACuH,EAAExC,EAAEC,EAAEC,CAAC,EAAEvC,EAAEwC,EAAElF,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO,CAAC8E,EAAEC,EAAE2C,EAAEN,CAAC,EAAExF,EAAE+F,EAAErF,EAAE,QAAQ,MAAMsF,EAAGtF,EAAE,QAAQ,KAAKuF,EAAGvF,EAAE,QAAQ,IAAI,QAAQwF,GAAG,EAAEA,GAAGnE,EAAE,EAAEmE,GAAG,CAAC,IAAIC,GAAG,KAAK,IAAI,EAAE,KAAK,MAAMJ,EAAEG,IAAIvF,CAAC,CAAC,EAAEyF,GAAG,KAAK,IAAI1F,EAAE,UAAUA,EAAE,QAAQqF,EAAEG,IAAIvF,CAAC,EAAE6D,GAAG0B,GAAGzD,EAAE,QAAQ6D,GAAG,EAAEA,GAAG,EAAE,EAAEA,GAAG,CAAC,IAAIC,GAAG,KAAK,IAAI,EAAE,KAAK,MAAMN,EAAGK,IAAI1F,CAAC,CAAC,EAAE4F,GAAG,KAAK,IAAI9F,EAAE,WAAWA,EAAE,SAASuF,EAAGK,IAAI1F,CAAC,EAAE6F,GAAGH,GAAG5D,EAAE8B,GAAG,QAAQkC,GAAG,EAAEA,GAAGtB,EAAE,EAAEsB,GAAG,CAAC,IAAIC,GAAG,KAAK,IAAI,EAAE,KAAK,MAAMX,EAAGU,IAAI7F,CAAC,CAAC,EAAEmG,GAAG,KAAK,IAAItG,EAAE,UAAUA,EAAE,QAAQsF,EAAGU,IAAI7F,CAAC,EAAEoG,GAAGP,GAAG/D,EAAE8D,GAAG,QAAQS,GAAG,EAAEA,GAAGxG,EAAE,WAAW,EAAEwG,GAAG,CAAC,IAAIzC,GAAGyC,GAAG7B,EAAE4B,GAAG,QAAQtC,GAAG,EAAEA,GAAGjE,EAAE,YAAY,EAAEiE,GAAG,CAAC,IAAIC,GAAG,EAAE,QAAQC,GAAG,EAAEA,GAAGnE,EAAE,UAAU,EAAEmE,GAAG,CAAC,IAAIsC,GAAGtC,GAAG3B,EAAE4B,GAAGD,GAAGS,EAAE,QAAQP,GAAGoB,GAAGpB,GAAGqB,GAAG,EAAErB,GAAG,CAAC,IAAIE,IAAIiB,GAAGnB,GAAGpE,EAAEoF,GAAG5C,EAAEgE,GAAGzC,GAAGK,GAAGjC,EAAEgC,GAAG,QAAQsC,GAAGb,GAAGa,GAAGZ,GAAG,EAAEY,GAAG,CAAC,IAAIE,IAAIhB,GAAGc,GAAGxG,EAAEqF,GAAIH,EAAEb,GAAGsC,GAAGH,GAAGrE,EAAE2B,GAAG,QAAQ8C,GAAGb,GAAGa,GAAGR,GAAG,EAAEQ,GAAG,CAAC,IAAI3B,IAAIa,GAAGc,GAAG3G,EAAEmF,GAAIR,EAAE8B,GAAGI,GAAGF,GAAGxE,EAAEuE,GAAG3C,IAAI3B,EAAE4C,GAAGqB,IAAIrE,EAAE6E,GAAG/C,GAAG,CAAC,CAAC,CAAC,CAACnC,EAAEiC,GAAGE,IAAIC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO7G,EAAE,eAAe6E,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIw5E,GAAG,CAAC,WAAWphE,GAAG,YAAY,MAAM,WAAWmhE,EAAE,EAAE,SAASE,GAAGx+E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,IAAI,EAAE,QAAQ0B,EAAE,WAAWC,CAAC,EAAE5B,EAAE2wE,GAAG,CAAC1wE,CAAC,EAAE,uBAAuB,EAAE,IAAI4B,EAAE0kB,EAAE,eAAetmB,EAAE,KAAK,EAAEqC,EAAEikB,EAAE,eAAe,EAAE,KAAK,EAAEhkB,EAAEw3C,EAAE,kBAAkBn4C,EAAE,EAAE,MAAMD,EAAE,EAAE,CAAC,EAAEa,EAAE,IAAIumB,GAAGxmB,EAAE,QAAQ,SAAS,EAAEE,EAAED,EAAE,OAAO,CAACE,EAAEkB,EAAE,EAAEqD,CAAC,EAAEzE,EAAE,QAAQiC,EAAE7E,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO,CAACoE,EAAEC,EAAEC,EAAEC,CAAC,EAAE3C,EAAEqF,EAAEtH,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC8E,EAAEyC,EAAExC,EAAEC,CAAC,EAAEtC,EAAE,CAAC,UAAUuC,EAAE,YAAYC,EAAE,aAAaC,EAAE,YAAYC,EAAE,WAAW2C,EAAE,QAAQN,EAAE,SAASO,EAAE,QAAQC,EAAG,YAAYC,EAAG,SAASC,GAAG,UAAUC,GAAG,SAASC,GAAG,YAAY5B,GAAG,aAAa8B,GAAG,YAAYC,EAAE,EAAE7F,EAAE8F,GAAGvD,EAAE,EAAEvC,EAAE,QAAQ,MAAM+F,GAAGvD,EAAE,EAAExC,EAAE,QAAQ,IAAIgG,GAAGvD,EAAE,EAAEzC,EAAE,QAAQ,KAAK,QAAQiG,GAAG,EAAEA,GAAG3D,EAAE,EAAE2D,GAAG,QAAQK,GAAG,EAAEA,GAAGlB,EAAE,EAAEkB,GAAG,QAAQC,GAAG,EAAEA,GAAGzB,EAAE,EAAEyB,GAAG,CAAC,IAAIC,GAAGD,GAAGT,GAAG/B,GAAG,KAAK,IAAI,EAAE,KAAK,KAAKyC,GAAG1C,EAAE,CAAC,EAAEG,GAAG,KAAK,IAAIuB,IAAIjD,EAAEiE,IAAI1C,EAAE,EAAE,QAAQI,GAAG,EAAEA,GAAGmB,EAAE,EAAEnB,GAAG,CAAC,IAAIC,GAAGD,GAAG6B,GAAGU,GAAG,KAAK,IAAI,EAAE,KAAK,KAAKtC,GAAGyB,EAAE,CAAC,EAAExB,GAAG,KAAK,IAAIqB,IAAIjD,EAAE2B,IAAIyB,EAAE,EAAE,QAAQvB,GAAG,EAAEA,GAAGiB,EAAG,EAAEjB,GAAG,CAAC,IAAIC,GAAGD,GAAG2B,GAAGzB,GAAG,KAAK,IAAI,EAAE,KAAK,KAAKD,GAAGuB,EAAE,CAAC,EAAE7B,GAAG,KAAK,IAAI0B,IAAIjD,EAAE6B,IAAIuB,EAAE,EAAEa,GAAG,EAAE,QAAQC,GAAG5C,GAAG4C,GAAG1C,GAAG,EAAE0C,GAAG,CAAC,IAAIC,GAAGD,GAAG7C,GAAG0C,GAAG,QAAQK,GAAGJ,GAAGI,GAAGzC,GAAG,EAAEyC,GAAG,CAAC,IAAIC,GAAGD,GAAGjB,GAAGzB,GAAG,QAAQ4C,GAAGxC,GAAGwC,GAAG/C,GAAG,EAAE+C,GAAG,CAAC,IAAI5B,GAAG4B,GAAGlB,GAAGvB,GAAG0C,GAAGlF,EAAEmE,GAAGlE,EAAE4E,GAAG3E,EAAE6E,GAAG5E,EAAE8E,GAAGI,GAAGhF,GAAGI,EAAE,EAAEqE,IAAIhC,GAAGpC,EAAE,EAAEsE,IAAI1E,GAAGK,EAAE,EAAE0C,IAAI9C,EAAEiE,GAAG,QAAQc,GAAG,EAAEA,GAAG7B,EAAG,EAAE6B,GAAG,CAAC,IAAIH,GAAG/E,EAAE8E,GAAGI,IAAIE,GAAG3C,EAAEwC,GAAGC,IAAIV,IAAIO,GAAGK,EAAE,CAAC,CAAC,CAAC,CAACpH,EAAEC,EAAE8F,GAAG5E,EAAEkF,GAAG,EAAErC,GAAGQ,EAAEL,GAAGiC,IAAII,EAAE,CAAC,CAAC,CAAC,OAAOrJ,EAAE,eAAe4C,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAI27E,GAAG,CAAC,WAAWrhE,GAAG,YAAY,MAAM,WAAWohE,EAAE,EAAME,GAAGpJ,GAAGj4D,GAAGrd,GAAG,KAAK,IAAIA,CAAC,CAAC,EAAE2+E,GAAG,CAAC,WAAWthE,GAAG,YAAY,MAAM,WAAWqhE,EAAE,EAAME,GAAGtJ,GAAGh4D,GAAGtd,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAE6+E,GAAG,CAAC,WAAWvhE,GAAG,YAAY,MAAM,WAAWshE,EAAE,EAAE,SAASE,GAAG9+E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,SAAS0B,EAAE,OAAOC,EAAE,mBAAmBC,CAAC,EAAE7B,EAAE,CAACsC,EAAEC,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAMyC,EAAE,EAAE,MAAM,GAAG,CAACkB,EAAE,CAAC,EAAEjC,EAAEsF,EAAE+oB,GAAG,CAACttB,EAAEkB,EAAE,EAAEnB,CAAC,EAAE,SAAS,EAAEgC,EAAE7E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOyE,EAAEzE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO0E,EAAE1E,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOsE,EAAEgiB,EAAE,eAAetmB,EAAE,KAAK,EAAEuE,EAAE+hB,EAAE,eAAetf,EAAE,KAAK,EAAE,QAAQC,EAAE,EAAEA,EAAExE,EAAEwE,IAAI,CAAC,IAAIxC,EAAEwC,EAAE,EAAEC,EAAE1C,EAAEC,GAAGC,EAAEF,EAAEC,EAAE,GAAGE,EAAEH,EAAEC,EAAE,GAAGG,EAAEJ,EAAEC,EAAE,GAAGI,EAAET,EAAE6C,GAAG,GAAGpC,GAAGxC,EAAE,SAAS,IAAIyC,EAAEnB,EAAE,GAAGgB,EAAEuC,IAAI5E,EAAE,IAAIqB,EAAE,GAAG,EAAEoB,EAAE,EAAE,GAAGH,EAAEF,IAAInC,EAAE,IAAI,EAAE,GAAG,EAAE,QAAQmF,EAAE,EAAEA,EAAE/D,EAAE+D,IAAI,CAAC,IAAIN,EAAEzD,EAAE,EAAEuD,GAAG5E,EAAE,GAAGoF,EAAE5C,EAAE,IAAIoC,EAAEvC,IAAIrC,EAAE,GAAG,GAAG8E,EAAE,GAAGA,EAAE9E,EAAE,EAAE,CAAC,QAAQqF,EAAE,EAAEA,EAAE,EAAEA,IAAI,QAAQC,EAAG,EAAEA,EAAGpF,EAAEoF,IAAK,CAAC,IAAIC,EAAGD,EAAGD,EAAEpD,EAAE,GAAGmD,EAAEnD,EAAE,GAAG0C,EAAE1C,EAAE,GAAGyC,EAAE,OAAOa,GAAIjG,CAAC,CAAC,QAAQ,CAAC,GAAGD,IAAI,WAAW,CAAC,IAAIgG,EAAE,KAAK,MAAMP,CAAC,EAAEQ,EAAG,KAAK,KAAKR,CAAC,EAAES,EAAGT,EAAEO,EAAE,QAAQG,GAAG,EAAEA,GAAG,EAAEA,KAAK,CAAC,IAAIC,GAAG,EAAE,EAAErD,GAAGnC,EAAE,GAAGuF,GAAG/C,EAAE,IAAIL,EAAEE,IAAIrC,EAAE,GAAG,GAAGwF,GAAG,GAAGA,GAAGxF,EAAE,EAAE,CAAC,QAAQ4F,GAAG,EAAEA,GAAG3F,EAAE2F,KAAK,CAAC,IAAIC,GAAGD,GAAGL,GAAGvD,EAAE,GAAGmD,EAAEnD,EAAE,GAAG0C,EAAE1C,EAAE,GAAGyC,EAAE,OAAOoB,IAAIxG,CAAC,CAAC,QAAQ,CAAC,IAAIoG,GAAG,KAAK,MAAMD,EAAE,EAAE3B,GAAG,KAAK,KAAK2B,EAAE,EAAEG,GAAGH,GAAGC,GAAG,QAAQG,GAAG,EAAEA,GAAG3F,EAAE2F,KAAK,CAAC,IAAIC,GAAGD,GAAGH,GAAG1D,EAAE,GAAGqD,EAAErD,EAAE,GAAGO,EAAEP,EAAE,GAAG+D,GAAGhE,EAAE+D,IAAIA,GAAGD,GAAG/B,GAAG9B,EAAE,GAAGqD,EAAErD,EAAE,GAAGO,EAAEP,EAAE,GAAG,IAAIgE,GAAGjE,EAAE+D,IAAIA,GAAGD,GAAGH,GAAG1D,EAAE,GAAGsD,EAAGtD,EAAE,GAAGO,EAAEP,EAAE,GAAG,IAAIiE,GAAGlE,EAAE+D,IAAIA,GAAGD,GAAG/B,GAAG9B,EAAE,GAAGsD,EAAGtD,EAAE,GAAGO,EAAEP,EAAE,GAAG,IAAIsE,GAAGvE,EAAE+D,IAAIS,GAAGR,IAAIC,GAAGD,IAAIH,GAAGY,GAAGP,IAAIK,GAAGL,IAAIL,GAAGE,GAAGD,GAAGL,GAAGvD,EAAE,GAAGmD,EAAEnD,EAAE,GAAG0C,EAAE1C,EAAE,GAAGyC,EAAE,OAAOoB,IAAIS,IAAIC,GAAGD,IAAIhB,CAAE,CAAC,CAAC,KAAM,SAAQF,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAG,EAAE,EAAElD,GAAGnC,EAAE,GAAGoF,EAAE5C,EAAE,IAAIL,EAAEE,IAAIrC,EAAE,GAAG,GAAGqF,EAAG,GAAGA,EAAGrF,EAAE,EAAE,CAAC,QAAQwF,GAAG,EAAEA,GAAGvF,EAAEuF,KAAK,CAAC,IAAIC,GAAGD,GAAGJ,EAAEpD,EAAE,GAAGmD,EAAEnD,EAAE,GAAG0C,EAAE1C,EAAE,GAAGyC,EAAE,OAAOgB,IAAIpG,CAAC,CAAC,QAAQ,CAAC,IAAIiG,EAAG,KAAK,MAAMD,CAAE,EAAEE,GAAG,KAAK,MAAMV,CAAC,EAAE,QAAQW,GAAG,EAAEA,GAAGvF,EAAEuF,KAAK,CAAC,IAAIC,GAAGD,GAAGF,EAAGvD,EAAE,GAAGwD,GAAGxD,EAAE,GAAGO,EAAEP,EAAE,GAAG8B,GAAG2B,GAAGJ,EAAEpD,EAAE,GAAGmD,EAAEnD,EAAE,GAAG0C,EAAE1C,EAAE,GAAGyC,EAAE,OAAOZ,IAAI/B,EAAE2D,GAAG,CAAC,CAAC,CAAC,CAAC,OAAOrI,EAAE,eAAeqH,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIw3E,GAAG,CAAC,WAAWthE,GAAG,YAAY,MAAM,WAAWqhE,EAAE,EAAE,SAASE,GAAGh/E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU,EAAE,QAAQ0B,CAAC,EAAE3B,EAAE2wE,GAAG1wE,EAAE,SAAS,EAAE,IAAI2B,EAAEm4C,EAAE,mBAAmB,CAAC,CAAC,EAAE95C,EAAE,MAAM,MAAM,EAAE4B,EAAE5B,EAAE2B,GAAG,OAAOC,EAAEo1E,GAAG,CAAC,OAAO,CAAC,EAAEh3E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAKgC,CAAC,CAAC,CAAC,GAAG,IAAIU,EAAEy3C,EAAE,iBAAiB,EAAE95C,EAAE,MAAM,MAAM,EAAE,GAAG,GAAGqC,IAAIT,EAAE,MAAM,OAAO,EAAE,MAAM,IAAI,MAAM,qDAAqDA,EAAE,MAAM,OAAO,kBAAkBS,GAAG,EAAE,IAAIC,EAAE6nB,GAAGvoB,EAAE,MAAM,OAAO,EAAEW,EAAE+jB,EAAE,mBAAmBA,EAAE,cAAc1kB,EAAE,KAAK,EAAEU,CAAC,EAAEE,EAAE7C,EAAE,KAAK,IAAIiC,EAAE,MAAM,EAAE,OAAOa,EAAEb,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAG+B,EAAEjC,EAAE,CAACsF,EAAExC,IAAIwC,EAAEvE,EAAE+B,EAAE,EAAE,CAACwC,EAAExC,IAAIwC,EAAExC,EAAE,QAAQwC,EAAE,EAAEA,EAAExE,EAAE,OAAOwE,GAAGvE,EAAE,QAAQ+B,EAAE,EAAEA,EAAE/B,EAAE+B,IAAI,CAAC,IAAIJ,EAAET,EAAEqD,EAAExC,CAAC,EAAE,GAAGA,IAAI,EAAEjC,EAAE6B,GAAG,EAAE,EAAE5B,EAAE4B,OAAO,CAAC,IAAIC,EAAEV,EAAEqD,EAAExC,EAAE,CAAC,EAAEjC,EAAE6B,GAAG,EAAE5B,EAAE6B,GAAG9B,EAAE8B,GAAG7B,EAAE4B,GAAG7B,EAAE8B,EAAE,CAAC,CAAC,IAAI,EAAE1E,EAAE,eAAeiC,EAAE,MAAMU,EAAEC,CAAC,EAAE,GAAGZ,GAAG,KAAK,CAAC,IAAIqF,EAAE8yC,EAAE,uBAAuBn4C,CAAC,EAAE6C,EAAEwyE,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQr3E,EAAE,MAAM,CAAC,KAAKqH,CAAC,CAAC,CAAC,EAAE,OAAOrH,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8BiC,CAAC,EAAE4C,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIk6E,GAAG,CAAC,WAAW1hE,GAAG,YAAY,MAAM,WAAWyhE,EAAE,EAAE,SAASE,GAAGl/E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU,EAAE,QAAQ0B,CAAC,EAAE3B,EAAE2wE,GAAG1wE,EAAE,QAAQ,EAAE,IAAI2B,EAAEm4C,EAAE,mBAAmB,CAAC,CAAC,EAAE95C,EAAE,MAAM,MAAM,EAAE4B,EAAE5B,EAAE2B,GAAG,OAAOC,EAAEo1E,GAAG,CAAC,OAAO,CAAC,EAAEh3E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAKgC,CAAC,CAAC,CAAC,GAAG,IAAIU,EAAEy3C,EAAE,iBAAiB,EAAE95C,EAAE,MAAM,MAAM,EAAE,GAAG,GAAGqC,IAAIT,EAAE,MAAM,OAAO,EAAE,MAAM,IAAI,MAAM,oDAAoDA,EAAE,MAAM,OAAO,kBAAkBS,GAAG,EAAE,IAAIC,EAAE6nB,GAAGvoB,EAAE,MAAM,OAAO,EAAEW,EAAE+jB,EAAE,oBAAoBA,EAAE,cAAc1kB,EAAE,KAAK,EAAEU,CAAC,EAAEE,EAAE7C,EAAE,KAAK,IAAIiC,EAAE,MAAM,EAAE,OAAOa,EAAEb,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAG+B,EAAEjC,EAAE,CAACsF,EAAExC,IAAIwC,EAAEvE,EAAE+B,EAAE,EAAE,CAACwC,EAAExC,IAAIwC,EAAExC,EAAE,QAAQwC,EAAE,EAAEA,EAAExE,EAAE,OAAOwE,GAAGvE,EAAE,QAAQ+B,EAAE,EAAEA,EAAE/B,EAAE+B,IAAI,CAAC,IAAIJ,EAAET,EAAEqD,EAAExC,CAAC,EAAE,GAAGA,IAAI,EAAEjC,EAAE6B,GAAG,EAAE,EAAE5B,EAAE4B,OAAO,CAAC,IAAIC,EAAEV,EAAEqD,EAAExC,EAAE,CAAC,EAAEjC,EAAE6B,GAAG,EAAE5B,EAAE6B,GAAG9B,EAAE8B,GAAG7B,EAAE4B,GAAG7B,EAAE8B,EAAE,CAAC,CAAC,IAAI,EAAE1E,EAAE,eAAeiC,EAAE,MAAMU,EAAEC,CAAC,EAAE,GAAGZ,GAAG,KAAK,CAAC,IAAIqF,EAAE8yC,EAAE,uBAAuBn4C,CAAC,EAAE6C,EAAEwyE,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQr3E,EAAE,MAAM,CAAC,KAAKqH,CAAC,CAAC,CAAC,EAAE,OAAOrH,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8BiC,CAAC,EAAE4C,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIo6E,GAAG,CAAC,WAAW3hE,GAAG,YAAY,MAAM,WAAW0hE,EAAE,EAAE,SAASE,GAAGp/E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,aAAa0B,CAAC,EAAE3B,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,CAAC,IAAI2B,EAAEhC,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO4B,EAAEjC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO0C,EAAE0uE,GAAGpvE,EAAEC,EAAE,EAAE,MAAM,EAAE,MAAM,CAAC,EAAE,OAAOjC,EAAE,eAAe,CAAC,CAAC,EAAE,EAAE,MAAM0C,CAAC,CAAC,SAASrC,EAAE,MAAM,SAAS,EAAE,CAAC,IAAI2B,EAAEhC,EAAE,WAAWK,CAAC,EAAE4B,EAAEjC,EAAE,WAAW,CAAC,EAAE0C,EAAE2uE,GAAGrvE,EAAEC,EAAE,EAAEF,CAAC,EAAE,OAAO/B,EAAE,eAAe0C,EAAE,MAAM,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,MAAM,IAAI,MAAM,qEAAqErC,EAAE,MAAM,SAAS,CAAC,CAAC,IAAI8+E,GAAG,CAAC,WAAW3hE,GAAG,YAAY,MAAM,WAAW0hE,EAAE,EAAE,SAASE,GAAGt/E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,UAAU,EAAE,WAAW,CAAC,EAAED,EAAEumB,EAAE,OAAO,IAAI,OAAO,IAAI,+DAA+D,GAAG,EAAE,IAAI5kB,EAAE1B,EAAE,MAAM,GAAG2B,EAAE3B,EAAE,MAAM,GAAG4B,EAAE5B,EAAE,MAAM,GAAGqC,EAAErC,EAAE,MAAM,GAAGsC,EAAEX,EAAE,EAAEY,EAAEX,EAAE,EAAEY,EAAEH,GAAG,EAAE,GAAGI,EAAE9C,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO2D,EAAE,IAAI,aAAajC,EAAEY,EAAEC,EAAEC,CAAC,EAAE,EAAE,EAAE,QAAQwE,EAAE,EAAEA,EAAEtF,EAAE,EAAEsF,EAAE,QAAQxC,EAAE,EAAEA,EAAElC,EAAE,EAAEkC,EAAE,CAAC,IAAIJ,EAAE,KAAK,MAAMI,EAAE,CAAC,EAAEH,EAAEG,EAAE,EAAE,QAAQF,EAAE,EAAEA,EAAE/B,EAAE,EAAE+B,EAAE,CAAC,IAAIC,EAAE,KAAK,MAAMD,EAAE,CAAC,EAAE2C,EAAE3C,EAAE,EAAEG,GAAGJ,EAAE,EAAE4C,GAAGzE,EAAE,QAAQ0E,EAAE,EAAEA,EAAE1E,EAAE,EAAE0E,EAAE,CAAC,IAAIvC,EAAEuC,EAAEzC,EAAEpC,GAAGkC,EAAE3C,GAAGwC,EAAEzC,EAAEqF,IAAIrD,EAAE,KAAKlB,EAAEkC,EAAE,CAAC,CAAC,CAAC,OAAOhF,EAAE,eAAe,CAAC+B,EAAEY,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAM2D,CAAC,CAAC,CAAC,IAAIq7E,GAAG,CAAC,WAAW5hE,GAAG,YAAY,MAAM,WAAW2hE,EAAE,EAAE,SAASE,GAAGx/E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,UAAUC,EAAE,gBAAgBC,CAAC,EAAE7B,EAAE2wE,GAAG,CAAC1wE,EAAE,CAAC,EAAE,uBAAuB,EAAE,IAAIqC,EAAEikB,EAAE,eAAetmB,EAAE,KAAK,EAAEsC,EAAEgkB,EAAE,eAAe,EAAE,KAAK,EAAE/jB,EAAEZ,EAAEY,GAAG,OAAOA,EAAE,CAAC,EAAE,CAAC,GAAG+jB,EAAE,OAAOwzB,EAAE,+BAA+B,EAAEv3C,CAAC,EAAE,IAAI,gFAAgF,oBAAoBA,IAAI,EAAE,IAAIC,EAAEs3C,EAAE,kBAAkB95C,EAAE,MAAM,EAAE,MAAM,EAAEuC,EAAEb,EAAEE,EAAE,EAAE,EAAE,CAAC,aAAaa,EAAE,YAAYkB,EAAE,eAAe,EAAE,cAAcqD,EAAE,QAAQxC,CAAC,EAAEhC,EAAE4B,EAAEI,EAAE,KAAKH,EAAEG,EAAE,IAAIF,EAAE9B,EAAE,YAAYA,EAAE,WAAW+B,EAAE,IAAIukB,GAAGtmB,EAAE,SAASxC,EAAE,KAAK,EAAEiH,EAAEtH,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOyE,EAAE9E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOuH,EAAE3C,EAAE,OAAO,QAAQG,EAAE,EAAEA,EAAElC,EAAE,UAAU,EAAEkC,EAAE,CAAC,IAAIC,EAAED,EAAErC,EAAE,GAAGuC,EAAEF,EAAEH,EAAE,QAAQ,GAAG,QAAQM,EAAE,EAAEA,EAAErC,EAAE,UAAU,EAAEqC,EAAE,CAAC,IAAIC,EAAEF,EAAEC,EAAEN,EAAE,QAAQ,GAAGQ,EAAEF,EAAErC,EAAE,aAAa6B,EAAE,QAAQqD,EAAE,EAAEA,EAAEjF,EAAE,EAAEiF,EAAE,CAAC,IAAIN,EAAErC,EAAE2C,EAAE,EAAE,GAAGN,EAAE,GAAGA,GAAG5E,EAAE,SAAS,SAAS,IAAImF,EAAED,EAAEpF,EAAE,GAAGsF,EAAGjD,EAAEyC,EAAE/E,EAAE,GAAG,QAAQwF,EAAG,EAAEA,EAAGrF,EAAE,SAAS,EAAEqF,EAAG,CAAC,IAAIC,GAAGhD,EAAE+C,EAAGtD,EAAE,QAAQ,GAAGwD,GAAGF,EAAGrF,EAAE,YAAY4B,EAAE,QAAQ4D,GAAG,EAAEA,GAAGrE,EAAE,EAAEqE,GAAG,CAAC,IAAI5B,GAAG2B,GAAGC,GAAGhB,EAAE,GAAGZ,GAAG,GAAGA,IAAI5D,EAAE,QAAQ,SAAS,IAAI0F,GAAGP,EAAEK,GAAG1F,EAAE,GAAG6F,GAAGP,EAAGxB,GAAG5D,EAAE,WAAW4F,GAAGN,GAAGO,GAAGH,GAAG,QAAQI,GAAG,EAAEA,GAAG9F,EAAE,WAAW,EAAE8F,GAAG,CAAC,IAAIC,GAAGtB,EAAEkB,GAAGG,IAAI,QAAQM,GAAG,EAAEA,GAAGtE,EAAE,EAAEsE,GAAG1B,EAAEkB,GAAGQ,KAAKL,GAAG9D,EAAE4D,GAAGO,IAAIR,IAAI9D,EAAE+D,IAAI/D,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO3E,EAAE,eAAe4E,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAI26E,GAAG,CAAC,WAAW7hE,GAAG,YAAY,MAAM,WAAW4hE,EAAE,EAAE,SAASE,GAAG1/E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,UAAU0B,EAAE,IAAIC,EAAE,gBAAgBC,EAAE,YAAYS,CAAC,EAAEtC,EAAE2wE,GAAG,CAAC1wE,EAAE,CAAC,EAAE,qCAAqC,EAAE,IAAIsC,EAAEw3C,EAAE,kBAAkB95C,EAAE,MAAMqC,EAAE,EAAEX,EAAEC,EAAEC,EAAE,EAAE,EAAE,CAAC,aAAaW,EAAE,YAAYC,EAAE,aAAaC,EAAE,YAAYkB,CAAC,EAAErB,EAAE,EAAE,IAAIwmB,GAAGxmB,EAAE,YAAY,SAAS,EAAE0E,EAAE1E,EAAE,QAAQ,KAAKkC,EAAElC,EAAE,QAAQ,IAAI8B,EAAE9B,EAAE,YAAYA,EAAE,WAAW+B,EAAE1E,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOsE,EAAE,IAAIwkB,GAAG9oB,EAAE,MAAMA,EAAE,MAAMqE,CAAC,EAAEE,EAAE5E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOsH,EAAE,IAAI6hB,GAAG,EAAE,MAAM,EAAE,MAAMvkB,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEhC,EAAE,EAAEgC,EAAE,CAAC,IAAIyC,EAAE,KAAK,IAAI,EAAE,KAAK,MAAM1C,EAAEC,GAAGlC,CAAC,CAAC,EAAEmC,EAAE,KAAK,IAAIpC,EAAE,WAAWA,EAAE,SAASkC,EAAEC,GAAGlC,CAAC,EAAE,QAAQoC,EAAE,EAAEA,EAAEhB,EAAE,EAAEgB,EAAE,CAAC,IAAIC,EAAE,KAAK,IAAI,EAAE,KAAK,MAAMoC,EAAErC,GAAGnC,CAAC,CAAC,EAAEqC,EAAE,KAAK,IAAIvC,EAAE,UAAUA,EAAE,QAAQ0E,EAAErC,GAAGnC,CAAC,EAAE,QAAQsC,EAAE,EAAEA,EAAExC,EAAE,YAAY,EAAEwC,EAAE,CAAC,IAAIC,EAAE,KAAK,MAAMD,EAAEV,CAAC,EAAEsD,EAAE5C,EAAEV,EAAEgD,EAAE,EAAE,QAAQO,EAAE,EAAEA,EAAErF,EAAE,UAAU,EAAEqF,EAAE,QAAQC,EAAGV,EAAEU,EAAGlD,EAAE,EAAEkD,EAAG,CAAC,IAAIC,EAAGpD,EAAEmD,EAAGrF,EAAEiC,EAAE,QAAQsD,GAAGlD,EAAEkD,GAAGjD,EAAE,EAAEiD,GAAG,CAAC,IAAIC,GAAGpD,EAAEmD,GAAGtF,EAAEwE,EAAEI,GAAG9C,EAAE,IAAIqD,EAAEE,EAAGE,GAAGhD,CAAC,EAAEkC,EAAE,IAAIU,EAAEC,EAAGE,GAAGhD,CAAC,CAAC,CAAC,CAAC,EAAE,IAAIsC,EAAE3C,EAAEE,EAAEI,EAAE2C,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO/H,EAAE,eAAe,EAAE,MAAM,EAAE,MAAM,EAAE,MAAM,CAAC,CAAC,IAAIy/E,GAAG,CAAC,WAAW9hE,GAAG,YAAY,MAAM,WAAW6hE,EAAE,EAAE,SAASE,GAAG5/E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,UAAU0B,EAAE,IAAIC,EAAE,gBAAgBC,EAAE,WAAWS,CAAC,EAAEtC,EAAE2wE,GAAG,CAAC1wE,EAAE,CAAC,EAAE,oCAAoC,EAAE,IAAIsC,EAAEgkB,EAAE,eAAetmB,EAAE,KAAK,EAAEuC,EAAE+jB,EAAE,eAAe,EAAE,KAAK,EAAE9jB,EAAEs3C,EAAE,kBAAkBz3C,EAAE,EAAE,MAAM,EAAEX,EAAEC,EAAEC,EAAE,EAAE,EAAEa,EAAE,IAAIqmB,GAAGtmB,EAAE,QAAQ,SAAS,EAAEmB,EAAElB,EAAE,OAAO,CAAC,EAAEuE,EAAExC,CAAC,EAAE/B,EAAE,QAAQ2B,EAAEzE,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO,CAACqE,EAAEC,EAAEC,CAAC,EAAEjC,EAAE2E,EAAEtH,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC8E,EAAEyC,EAAExC,CAAC,EAAEnC,EAAE,CAAC,UAAUoC,EAAE,aAAaC,EAAE,YAAYC,EAAE,WAAWC,EAAE,SAASC,EAAE,QAAQ2C,EAAE,YAAYN,EAAE,UAAUO,EAAE,SAASC,EAAG,aAAaC,EAAG,YAAYC,EAAE,EAAEtF,EAAEuF,GAAGnD,EAAE,EAAEpC,EAAE,QAAQ,IAAIwF,GAAGnD,EAAE,EAAErC,EAAE,QAAQ,KAAK4D,GAAGgB,EAAEtC,EAAE,QAAQoD,GAAG,EAAEA,GAAGvD,EAAE,EAAEuD,GAAG,QAAQC,GAAG,EAAEA,GAAGrD,EAAE,EAAEqD,GAAG,QAAQC,GAAG,EAAEA,GAAGrD,EAAE,EAAEqD,GAAG,CAAC,IAAIC,GAAGD,GAAGL,GAAGO,GAAG,KAAK,IAAI,EAAE,KAAK,KAAKD,GAAGR,CAAE,CAAC,EAAEU,GAAG,KAAK,IAAIZ,GAAG/C,EAAEyD,IAAIR,CAAE,EAAE,QAAQe,GAAG,EAAEA,GAAGlB,EAAE,EAAEkB,GAAG,CAAC,IAAIC,GAAGD,GAAGZ,GAAGc,GAAG,KAAK,IAAI,EAAE,KAAK,KAAKD,GAAGf,EAAE,CAAC,EAAEzB,GAAG,KAAK,IAAIuB,GAAI/C,EAAEgE,IAAIf,EAAE,EAAEvB,GAAG,EAAE,QAAQC,GAAG8B,GAAG9B,GAAG+B,GAAG,EAAE/B,GAAG,CAAC,IAAIC,GAAGD,GAAGqB,EAAGQ,GAAG,QAAQU,GAAGD,GAAGC,GAAG1C,GAAG,EAAE0C,GAAG,CAAC,IAAIrC,GAAGqC,GAAGjB,GAAGe,GAAGlC,GAAGtC,EAAE6D,GAAG5D,EAAEkC,GAAGjC,EAAEwE,GAAGnC,GAAGnC,GAAGG,EAAE,EAAE6B,IAAIS,GAAGrC,EAAE,EAAE6B,IAAIhC,EAAEyD,GAAG,QAAQtB,GAAG,EAAEA,GAAGT,GAAG,EAAES,GAAG,CAAC,IAAIP,GAAG6B,GAAG/B,GAAGS,GAAGmC,GAAG5E,EAAEuC,GAAGL,IAAI2C,GAAGhC,EAAEL,GAAGC,IAAIN,IAAIyC,GAAGC,EAAE,CAAC,CAAC,CAACtF,EAAE,EAAEuE,GAAGlB,EAAEoB,GAAG5D,EAAEoE,GAAGT,IAAI5B,EAAE,CAAC,CAAC,OAAO5G,EAAE,eAAe8C,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAI68E,GAAG,CAAC,WAAW/hE,GAAG,YAAY,MAAM,WAAW8hE,EAAE,EAAE,SAASE,GAAG9/E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,CAAC,EAAE,EAAEC,EAAEsmB,EAAE,cAAcvmB,EAAE,KAAK,EAAE,EAAEJ,EAAE,KAAK,IAAII,EAAE,MAAM,EAAE,OAAO,EAAEgwB,GAAG,CAAC/vB,EAAEA,CAAC,EAAED,EAAE,KAAK,EAAE2B,EAAE,EAAE,OAAO,QAAQE,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAIF,EAAEE,EAAE5B,EAAE4B,GAAG,EAAEA,GAAG,IAAID,EAAE,CAAC,GAAG5B,EAAE,MAAM,GAAGA,EAAE,KAAK,EAAE,OAAOJ,EAAE,eAAegC,EAAE,EAAE,MAAM,EAAE,MAAM,CAAC,CAAC,IAAI69E,GAAG,CAAC,WAAWhiE,GAAG,YAAY,MAAM,WAAW+hE,EAAE,EAAME,GAAG,CAAC,WAAWhiE,GAAG,YAAY,MAAM,WAAW,CAAC,CAAC,OAAOhe,EAAE,QAAQ,EAAE,MAAME,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEI,EAAE,OAAOC,CAAC,EAAEP,EAAE,CAAC,QAAQ,EAAE,IAAI,EAAE,UAAUiC,CAAC,EAAE/B,EAAEgC,EAAE,EAAEC,EAAED,EAAE,KAAK,IAAI5B,EAAE,MAAM,EAAE,OAAOsC,EAAEtC,EAAE,MAAM,OAAOuC,EAAEX,EAAE,KAAK,IAAI3B,EAAE,MAAM,EAAE,OAAOuC,EAAEvC,EAAE,MAAM,OAAO,CAAC,UAAUwC,EAAE,SAASC,EAAE,QAAQkB,EAAE,WAAW,EAAE,UAAUqD,EAAE,SAASxC,EAAE,QAAQJ,EAAE,aAAaC,EAAE,YAAYC,EAAE,aAAaC,EAAE,YAAY0C,EAAE,eAAexC,EAAE,cAAcyC,EAAE,SAASxC,CAAC,EAAEo1C,EAAE,sBAAsB/5C,EAAE,MAAMC,EAAE,MAAM,EAAE,EAAE,OAAO0B,CAAC,EAAEiD,EAAE2hB,EAAE,cAAc5hB,CAAC,EAAEE,EAAEF,EAAE,OAAOG,EAAEyhB,EAAE,kBAAkBvmB,EAAE,MAAM4E,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAEvC,EAAE,EAAEuC,EAAE,QAAQ2C,EAAE,EAAEA,EAAEV,EAAE,EAAEU,EAAE,CAAC,IAAIN,EAAEM,EAAErD,EAAED,EAAE,IAAI,QAAQuD,EAAE,EAAEA,EAAEnD,EAAE,EAAEmD,EAAE,CAAC,IAAIC,EAAGD,EAAErD,EAAEF,EAAE,KAAK,QAAQyD,EAAG,EAAEA,EAAG,EAAE,EAAEA,EAAG,CAAC,IAAIC,EAAG,OAAO,iBAAiB,QAAQE,GAAG,EAAEA,GAAGzD,EAAE,EAAEyD,GAAG,CAAC,IAAI5B,GAAGgB,EAAEY,GAAGvD,EAAE,GAAG2B,IAAI,GAAGA,GAAG3D,EAAE,QAAQyF,GAAG,EAAEA,GAAGjB,EAAE,EAAEiB,GAAG,CAAC,IAAIC,GAAGP,EAAGM,GAAGhB,EAAE,GAAGiB,IAAI,GAAGA,GAAGxE,EAAE,CAAC,IAAIyE,GAAGke,EAAE,WAAW,CAACvhB,EAAEqB,GAAG+B,GAAGN,CAAE,EAAExF,EAAEikB,EAAE,eAAevmB,EAAE,KAAK,CAAC,EAAEsI,GAAGie,EAAE,WAAW,CAACte,GAAGE,GAAGL,CAAE,EAAEtF,EAAE+jB,EAAE,eAAetmB,EAAE,KAAK,CAAC,EAAEsI,GAAG1G,EAAEwG,IAAI9F,EAAE+F,IAAIC,GAAGR,IAAKA,EAAGQ,GAAG,CAAC,CAAC,CAAC,IAAIP,GAAGue,EAAE,WAAW,CAACvhB,EAAE2C,EAAEC,EAAEE,CAAE,EAAEjD,EAAE0hB,EAAE,eAAe5hB,CAAC,CAAC,EAAEG,EAAEkD,IAAID,CAAE,CAAC,CAAC,CAAC,MAAM,CAAC,OAAOnG,EAAE,MAAM2kB,EAAE,aAAazhB,EAAE9E,EAAE,KAAK,EAAE2E,EAAE3E,EAAE,KAAK,EAAE,MAAM2E,EAAE,MAAM3E,EAAE,KAAK,CAAC,CAAC,EAAM2/E,GAAG,CAAC,WAAW/hE,GAAG,YAAY,MAAM,WAAW,CAAC,CAAC,OAAOle,EAAE,QAAQ,EAAE,MAAME,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEI,EAAE,OAAOC,EAAE,GAAG,CAAC,EAAEP,EAAE,CAAC,QAAQ,EAAE,IAAIiC,EAAE,UAAUC,CAAC,EAAEhC,EAAEiC,EAAE,EAAES,EAAEikB,EAAE,cAAcvmB,EAAE,MAAM6B,EAAE,KAAK,IAAI7B,EAAE,MAAM,EAAE,MAAM,EAAEuC,EAAEgkB,EAAE,cAActmB,EAAE,MAAM4B,EAAE,KAAK,IAAI5B,EAAE,MAAM,EAAE,MAAM,EAAE,CAAC,UAAUuC,EAAE,SAASC,EAAE,QAAQC,EAAE,WAAWkB,EAAE,UAAU,EAAE,SAASqD,EAAE,QAAQxC,EAAE,aAAaJ,EAAE,YAAYC,EAAE,aAAaC,EAAE,YAAYC,EAAE,eAAe0C,EAAE,cAAcxC,EAAE,SAASyC,CAAC,EAAE4yC,EAAE,sBAAsB/5C,EAAE,MAAMC,EAAE,MAAM,EAAE0B,EAAE,OAAOC,CAAC,EAAE2kB,EAAE,OAAO,EAAE,OAAOpf,EAAE,OAAO,IAAI,YAAYyW,4CAA4CzW,EAAE,mBAAmB,EAAE,MAAM,EAAE,IAAIxC,EAAE4hB,EAAE,cAAcpf,EAAEtF,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,EAAE+C,EAAE2hB,EAAE,0BAA0BtmB,EAAE,MAAMA,EAAE,KAAK,EAAE,QAAQ6E,EAAE,EAAEA,EAAEtC,EAAE,EAAEsC,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAED,EAAEV,EAAEI,EAAE,IAAI,QAAQkD,EAAE,EAAEA,EAAEV,EAAE,EAAEU,EAAE,CAAC,IAAIN,EAAEM,EAAErD,EAAEG,EAAE,KAAK,QAAQmD,EAAE,EAAEA,EAAEhE,EAAE,EAAEgE,EAAE,CAAC,IAAIC,EAAG,OAAO,iBAAiBC,EAAG,EAAEC,EAAG,EAAE,QAAQC,GAAG,EAAEA,GAAGzD,EAAE,EAAEyD,GAAG,CAAC,IAAIC,GAAGjD,EAAEgD,GAAGd,EAAE,GAAGe,IAAI,GAAGA,GAAGxF,EAAE,QAAQ4D,GAAG,EAAEA,GAAG7B,EAAE,EAAE6B,GAAG,CAAC,IAAI8B,GAAGd,EAAEhB,GAAG3B,EAAE,GAAGyD,IAAI,GAAGA,GAAGzF,EAAE,CAAC,IAAI0F,GAAG9F,EAAEwC,GAAGmD,IAAIE,IAAIP,GAAGrF,EAAEyF,IAAI3B,IAAIuB,GAAGQ,GAAGP,IAAKA,EAAGO,GAAGN,EAAGE,GAAGD,EAAG1B,GAAG,CAAC,CAAC,CAACzB,EAAEkD,GAAIC,GAAIH,IAAIjD,EAAEG,GAAGC,GAAG4C,GAAGC,EAAE,CAAC,CAAC,CAAC,MAAM,CAAC,OAAO/F,EAAE,MAAM0kB,EAAE,aAAa3hB,EAAE5E,EAAE,KAAK,EAAEC,EAAE,MAAMA,EAAE,KAAK,EAAE,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,EAAM2/E,GAAG,CAAC,WAAWjiE,GAAG,YAAY,MAAM,WAAW,CAAC,CAAC,OAAOje,EAAE,QAAQ,EAAE,MAAME,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEI,EAAE,OAAOC,EAAE,GAAG,CAAC,EAAEP,EAAE,CAAC,QAAQ,EAAE,IAAIiC,EAAE,UAAUC,CAAC,EAAEhC,EAAEiC,EAAE,EAAES,EAAEikB,EAAE,cAAcvmB,EAAE,MAAM6B,EAAE,KAAK,IAAI7B,EAAE,MAAM,EAAE,MAAM,EAAEuC,EAAEgkB,EAAE,cAActmB,EAAE,MAAM4B,EAAE,KAAK,IAAI5B,EAAE,MAAM,EAAE,MAAM,EAAE,CAAC,UAAUuC,EAAE,SAASC,EAAE,QAAQC,EAAE,WAAWkB,EAAE,UAAU,EAAE,SAASqD,EAAE,QAAQxC,EAAE,aAAaJ,EAAE,YAAYC,EAAE,aAAaC,EAAE,YAAYC,EAAE,eAAe0C,EAAE,cAAcxC,EAAE,SAASyC,CAAC,EAAE4yC,EAAE,sBAAsB/5C,EAAE,MAAMC,EAAE,MAAM,EAAE0B,EAAE,OAAOC,CAAC,EAAE2kB,EAAE,OAAO,EAAE,OAAOpf,EAAE,OAAO,IAAI,YAAYwW,4CAA4CxW,EAAE,mBAAmB,EAAE,MAAM,EAAE,IAAIxC,EAAE4hB,EAAE,cAAcpf,EAAEtF,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,EAAE+C,EAAE2hB,EAAE,0BAA0BvmB,EAAE,MAAMA,EAAE,KAAK,EAAE,QAAQ8E,EAAE,EAAEA,EAAEtC,EAAE,EAAEsC,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAED,EAAEV,EAAEI,EAAE,IAAI,QAAQkD,EAAE,EAAEA,EAAEV,EAAE,EAAEU,EAAE,CAAC,IAAIN,EAAEM,EAAErD,EAAEG,EAAE,KAAK,QAAQmD,EAAE,EAAEA,EAAEhE,EAAE,EAAEgE,EAAE,CAAC,IAAIC,EAAG,OAAO,iBAAiBC,EAAG9C,EAAE,EAAE,EAAEA,EAAE+C,EAAGV,EAAE,EAAE,EAAEA,EAAE,QAAQW,GAAG,EAAEA,GAAGzD,EAAE,EAAEyD,GAAG,CAAC,IAAIC,GAAGjD,EAAEgD,GAAGd,EAAE,GAAGe,IAAI,GAAGA,GAAGxF,EAAE,QAAQ4D,GAAG,EAAEA,GAAG7B,EAAE,EAAE6B,GAAG,CAAC,IAAI8B,GAAGd,EAAEhB,GAAG3B,EAAE,GAAGyD,IAAI,GAAGA,GAAGzF,EAAE,CAAC,IAAI0F,GAAG9F,EAAEwC,GAAGmD,IAAIE,IAAIP,GAAGrF,EAAEyF,IAAI3B,IAAIuB,GAAGQ,GAAGP,IAAKA,EAAGO,GAAGN,EAAGG,GAAGF,EAAGI,GAAG,CAAC,CAAC,CAACvD,EAAEE,GAAGgD,GAAIC,GAAIH,IAAIjD,EAAEG,GAAGC,GAAG4C,GAAGC,EAAE,CAAC,CAAC,CAAC,MAAM,CAAC,OAAO/F,EAAE,MAAM0kB,EAAE,aAAa3hB,EAAE5E,EAAE,KAAK,EAAEA,EAAE,MAAMA,EAAE,KAAK,EAAE,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,EAAE,SAAS6/E,GAAGngF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE2wE,GAAG1wE,EAAE,KAAK,EAAE,IAAI0B,EAAE1B,EAAE,QAAQ,OAAO0B,EAAE6yE,GAAG,CAAC,OAAO,CAAC,EAAEv0E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM,OAAO,CAAC,CAAC,EAAE+B,EAAEyyE,GAAG,CAAC,OAAO,CAAC,EAAEn0E,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,IAAIgC,EAAED,EAAE,MAAM,OAAOE,EAAE0kB,EAAE,eAAe,EAAE5kB,EAAE,KAAK,EAAEW,EAAEy3C,EAAE,mBAAmBl4C,EAAED,CAAC,EAAEW,EAAEV,EAAEW,EAAEb,EAAEW,GAAG,OAAOE,EAAEy0E,GAAG,CAAC,OAAO,CAAC,EAAEt1E,CAAC,EAAE,QAAQ/B,EAAE,MAAM,CAAC,KAAK0C,CAAC,CAAC,CAAC,EAAEC,EAAEw3C,EAAE,iBAAiBx3C,EAAE,OAAOX,CAAC,GAAGm4C,EAAE,2BAA2B,MAAMx3C,EAAEC,EAAE,MAAM,MAAM,EAAE,GAAG,CAACC,EAAEC,CAAC,EAAEq3C,EAAE,0BAA0Bv3C,EAAE,MAAMD,CAAC,EAAEqB,EAAEm2C,EAAE,WAAWv3C,EAAE,MAAM,OAAO,EAAE,EAAE2xE,GAAGv0E,EAAE6C,EAAEmB,CAAC,EAAEqD,EAAEsf,EAAE,cAAc7jB,CAAC,EAAE+B,EAAE7E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOyE,EAAEzE,EAAE,KAAK,IAAI4C,EAAE,MAAM,EAAE,OAAO,QAAQ8B,EAAE,EAAEA,EAAEG,EAAE,OAAO,EAAEH,EAAE,CAAC,IAAIC,EAAED,EAAE2C,EAAEzC,EAAE,EAAE,QAAQ0C,EAAE,EAAEA,EAAED,EAAE,EAAEC,EAAE1C,GAAGH,EAAEE,EAAE2C,GAAGzC,EAAEH,GAAGE,CAAC,CAAC,GAAG,EAAE,CAAC,IAAIF,EAAEy1C,EAAE,qBAAqB,EAAE,MAAMl4C,CAAC,EAAE0C,EAAE,EAAE,EAAEs1E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQj6E,EAAE,MAAM,CAAC,MAAM0E,CAAC,CAAC,CAAC,EAAE1E,EAAE,8BAA8B2E,CAAC,CAAC,CAAC,OAAO3E,EAAE,8BAA8B+B,CAAC,EAAEW,GAAG,MAAM1C,EAAE,8BAA8B4C,CAAC,EAAE,CAAC,CAAC,IAAIs9E,GAAG,CAAC,WAAWr8D,GAAG,YAAY,MAAM,WAAWo8D,EAAE,EAAE,SAASE,GAAGrgF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,SAASO,CAAC,EAAED,EAAE,EAAE,EAAE,CAAC,QAAQ,EAAE,WAAW2B,EAAE,OAAOC,CAAC,EAAEm4C,EAAE,qBAAqB95C,EAAE,EAAE,MAAM,EAAE85C,EAAE,oBAAoB,EAAE,OAAOn4C,EAAE,CAAC,EAAE,GAAG,CAAC,KAAKC,EAAE,MAAMS,CAAC,EAAEy3C,EAAE,qBAAqBp4C,EAAEC,CAAC,EAAEW,EAAED,EAAE,OAAOE,EAAE,KAAKC,EAAE,EAAE,OAAOC,EAAE,CAAC,EAAE,QAAQkB,EAAE,EAAEA,EAAErB,EAAE,EAAEqB,EAAE,CAAC,QAAQ,KAAKtB,EAAEsB,GAAG,CAAC,GAAG,CAAC,mBAAmBqD,EAAE,WAAWxC,CAAC,EAAEs1C,EAAE,qBAAqBt3C,EAAEb,EAAE,EAAE,EAAEyC,EAAE01C,EAAE,sBAAsB9yC,CAAC,EAAE5C,EAAE,EAAE,IAAIA,EAAE4yE,GAAG,CAAC,OAAO,CAAC,EAAE,EAAE,EAAE,EAAE,QAAQr3E,EAAE,MAAM,CAAC,KAAKqH,CAAC,CAAC,CAAC,EAAEvE,EAAE,KAAK2B,CAAC,GAAG,IAAIC,EAAED,EAAE,MAAM,MAAM,EAAE,QAAQE,EAAE,EAAEA,EAAEE,EAAE,OAAO,EAAEF,EAAED,EAAE,OAAOG,EAAEF,GAAG,EAAE,CAAC,EAAEgiB,EAAE,YAAYliB,EAAE,MAAMC,CAAC,IAAID,EAAEw1E,GAAG,CAAC,OAAO,CAACx1E,CAAG,EAAE,QAAQzE,EAAE,MAAM,CAAC,MAAM0E,CAAC,CAAC,CAAC,EAAE5B,EAAE,KAAK2B,CAAC,GAAG7B,IAAI,KAAKA,EAAE6B,GAAG7B,EAAEm0E,GAAG,CAAC,OAAO,CAAC,EAAEtyE,EAAE,EAAE7B,CAAC,EAAE,QAAQ5C,CAAC,CAAC,EAAE8C,EAAE,KAAKF,CAAC,EAAE,CAACoB,EAAErB,EAAE,IAAIV,EAAE+B,IAAI,IAAIpB,EAAEq9E,GAAG,CAAC,OAAO,CAAC,EAAEr9E,CAAC,EAAE,QAAQ5C,EAAE,MAAM,CAAC,KAAKiC,EAAE+B,IAAI,EAAE,OAAOnB,GAAG,SAAS,EAAE,CAAC,CAAC,EAAEC,EAAE,KAAKF,CAAC,GAAGC,IAAI,CAAC,QAAQmB,KAAKlB,EAAEkB,IAAIpB,GAAG5C,EAAE,8BAA8BgE,CAAC,EAAE,OAAOpB,CAAC,CAAC,IAAIw9E,GAAG,CAAC,WAAWliE,GAAG,YAAY,MAAM,WAAWiiE,EAAE,EAAE,SAASE,GAAGvgF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,GAAGM,EAAE,EAAEC,CAAC,EAAE,EAAE0wE,GAAG,CAAC3wE,EAAEC,CAAC,EAAE,SAAS,EAAE,IAAI,EAAE,IAAI,aAAasmB,EAAE,cAActmB,EAAE,KAAK,CAAC,EAAE,EAAEL,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO0B,EAAE/B,EAAE,KAAK,IAAII,EAAE,MAAM,EAAE,OAAO,QAAQ4B,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAE,EAAED,GAAGC,GAAG,EAAE,EAAED,GAAGD,EAAEC,GAAG,EAAEA,GAAGD,EAAEC,IAAIC,EAAE,EAAE,CAAC,OAAOjC,EAAE,eAAeK,EAAE,MAAM,UAAU,CAAC,CAAC,CAAC,IAAIigF,GAAG,CAAC,WAAWliE,GAAG,YAAY,MAAM,WAAWiiE,EAAE,EAAME,GAAGpmC,EAAE,MAAMqmC,GAAGrmC,EAAE,OAAOsmC,GAAGtmC,EAAE,OAAOumC,GAAGvmC,EAAE,OAAOwmC,GAAGxmC,EAAE,OAAOymC,GAAGzmC,EAAE,OAAO0mC,GAAGzL,GAAG/2D,GAAGve,GAAG,CAAC,IAAI,EAAE,KAAK,KAAKA,CAAC,EAAEE,EAAE,KAAK,IAAIF,CAAC,EAAEM,EAAE,GAAG,EAAEmgF,GAAGvgF,GAAG,OAAO,GAAG,MAAM4gF,GAAGxgF,EAAEugF,IAAIvgF,EAAEsgF,IAAItgF,EAAEqgF,IAAIrgF,EAAEogF,IAAIpgF,EAAE,KAAK,IAAI,CAACJ,EAAEA,CAAC,EAAE,CAAC,EAAE8gF,GAAG,CAAC,WAAWziE,GAAG,YAAY,MAAM,WAAWwiE,EAAE,EAAE,SAASE,GAAGjhF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,CAAC,EAAE,EAAE,CAAC,IAAI,CAAC,EAAED,EAAE,EAAEC,EAAE,MAAM,OAAO0B,EAAE1B,EAAE,MAAM,MAAM,EAAE2B,EAAE,EAAE,OAAO,EAAE,IAAI2kB,EAAE,OAAO,EAAE,EAAE,IAAI,EAAE,IAAI,iCAAiC,EAAE,EAAE,OAAO,IAAI,EAAE3kB,EAAE,EAAE,EAAE,GAAGD,EAAE,OAAOC,EAAE,EAAE,CAAC,EAAEi4E,GAAG,CAAC,OAAO,CAAC,EAAE55E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM+B,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIi/E,GAAG,CAAC,WAAWxiE,GAAG,YAAY,MAAM,WAAWuiE,EAAE,EAAME,GAAG7M,GAAG,CAACt0E,EAAE,IAAIA,EAAE,CAAC,EAAEohF,GAAGpM,GAAG72D,GAAGgjE,EAAE,EAAEE,GAAG,CAAC,WAAWljE,GAAG,YAAY,MAAM,WAAWijE,EAAE,EAAE,SAASE,GAAGthF,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,MAAMO,EAAED,EAAE,GAAG,EAAEA,EAAE,GAAG,EAAEJ,EAAE,KAAK,IAAIF,EAAE,MAAM,EAAEiC,EAAE,EAAE,mBAAmB,KAAKC,EAAE,EAAE,mBAAmB,KAAKC,EAAE,CAAC5B,EAAE,CAAC,EAAEqC,EAAEikB,EAAE,cAAc1kB,CAAC,EAAEU,EAAEgkB,EAAE,uBAAuB,UAAUjkB,CAAC,EAAEE,EAAE+jB,EAAE,uBAAuB,UAAUjkB,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAErC,EAAE,IAAI,CAAC,IAAIgH,EAAEmxE,GAAG,CAAC,OAAO,CAAC,EAAEz2E,CAAC,EAAE,QAAQ/B,EAAE,MAAM,CAAC,MAAM,CAAC,EAAE,CAAC,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAE6E,EAAE2zE,GAAG,CAAC,OAAO,CAAC,EAAEx2E,CAAC,EAAE,QAAQhC,EAAE,MAAM,CAAC,MAAM,CAAC,EAAE,CAAC,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEyE,EAAE4vE,GAAG,CAAC,OAAO,CAAC,KAAKhtE,EAAE,KAAKxC,CAAC,EAAE,QAAQ7E,CAAC,CAAC,EAAE,CAAC,KAAK0E,EAAE,KAAKC,CAAC,EAAE08E,GAAG58E,EAAE,EAAEzE,CAAC,EAAE4E,EAAEu1C,EAAE,uBAAuBz1C,EAAEC,CAAC,EAAE,QAAQ2C,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIxC,EAAEq1C,EAAE,oBAAoBv1C,EAAE0C,CAAC,EAAE3E,EAAE,EAAE,EAAE2E,GAAGxC,EAAE,KAAKlC,EAAE,EAAE,EAAE0E,GAAGxC,EAAE,IAAI,CAAC9E,EAAE,8BAA8BqH,CAAC,EAAErH,EAAE,8BAA8B6E,CAAC,EAAE7E,EAAE,8BAA8ByE,CAAC,CAAC,CAAC,IAAI5B,EAAE7C,EAAE,eAAeiC,EAAE,UAAUU,CAAC,EAAEG,EAAE9C,EAAE,eAAeiC,EAAE,UAAUW,CAAC,EAAEoB,EAAEqwE,GAAG,CAAC,OAAO,CAAC,KAAKxxE,EAAE,KAAKC,CAAC,EAAE,QAAQ9C,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B6C,CAAC,EAAE7C,EAAE,8BAA8B8C,CAAC,EAAEkB,CAAC,CAAC,SAASq9E,GAAGvhF,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEumB,EAAE,cAAc7mB,EAAE,KAAK,EAAEO,EAAEL,EAAE,KAAK,IAAIF,EAAE,MAAM,EAAE,EAAEE,EAAE,KAAK,IAAIK,EAAE,mBAAmB,KAAK,MAAM,EAAE,OAAO,EAAEL,EAAE,KAAK,IAAIK,EAAE,mBAAmB,KAAK,MAAM,EAAE,OAAO,GAAGihF,GAAGlhF,CAAC,EAAE,CAAC,IAAI2B,EAAEw/E,GAAG,EAAE,EAAEnhF,EAAE,EAAEJ,CAAC,EAAEgC,EAAE,CAAClC,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,EAAE,GAAG,EAAE,CAAC,IAAImC,EAAEjC,EAAE,eAAegC,EAAE,UAAUD,EAAE,IAAI,EAAEW,EAAE1C,EAAE,eAAegC,EAAE,UAAUD,EAAE,IAAI,EAAEY,EAAE3C,EAAE,eAAe,CAAC,EAAE,UAAU2mB,EAAE,kBAAkBvmB,EAAE,SAAS,CAAC,EAAEwC,EAAE4xE,GAAG,CAAC,OAAO,CAAC,EAAE7xE,CAAC,EAAE,QAAQ3C,CAAC,CAAC,EAAE6C,EAAEs+E,GAAG,WAAW,CAAC,OAAO,CAAC,EAAEl/E,EAAE,EAAEU,CAAC,EAAE,QAAQ3C,CAAC,CAAC,EAAE8C,EAAEq+E,GAAG,WAAW,CAAC,OAAO,CAAC,EAAEz+E,EAAE,EAAEE,CAAC,EAAE,QAAQ5C,CAAC,CAAC,EAAEgE,EAAEhE,EAAE,KAAK,IAAI6C,EAAE,MAAM,EAAE,OAAO,EAAE7C,EAAE,KAAK,IAAI8C,EAAE,MAAM,EAAE,OAAO,OAAO9C,EAAE,8BAA8BiC,CAAC,EAAEjC,EAAE,8BAA8B0C,CAAC,EAAE1C,EAAE,8BAA8B2C,CAAC,EAAE3C,EAAE,8BAA8B4C,CAAC,EAAE5C,EAAE,8BAA8B6C,CAAC,EAAE7C,EAAE,8BAA8B8C,CAAC,EAAE,CAAC,KAAKkB,EAAE,KAAK,CAAC,CAAC,CAAC,OAAOjC,CAAC,KAAK,CAAC,IAAIA,EAAEo4C,EAAE,uBAAuB,EAAE,CAAC,EAAEn4C,EAAEw/E,GAAGz/E,EAAE3B,EAAE,CAAC,EAAE,OAAO+5C,EAAE,uBAAuBn4C,CAAC,CAAC,CAAC,CAAC,SAASs/E,GAAGxhF,EAAE,CAAC,OAAOA,EAAEA,EAAE,KAAK,CAAC,CAAC,SAASyhF,GAAGzhF,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,GAAGL,IAAI,EAAE,MAAM,CAAC,KAAKF,EAAE,KAAK,CAAC,EAAE,IAAI,EAAEq6C,EAAE,uBAAuBr6C,EAAE,CAAC,EAAE,EAAEE,EAAE,EAAE+B,EAAEo4C,EAAE,qBAAqB,CAAC,EAAEn4C,EAAED,EAAE,KAAKE,EAAEF,EAAE,KAAKW,EAAE,CAACV,EAAE,MAAM,EAAEW,EAAEtC,EAAE,eAAeqC,EAAE,UAAUV,CAAC,EAAEY,EAAEvC,EAAE,eAAeqC,EAAE,UAAUT,CAAC,EAAEY,EAAEwxE,GAAG,CAAC,OAAO,CAAC,KAAK1xE,EAAE,KAAKC,CAAC,EAAE,QAAQvC,CAAC,CAAC,EAAEyC,EAAEq3C,EAAE,oBAAoB,CAAC,EAAEn2C,EAAElB,EAAE,KAAK,EAAEA,EAAE,KAAKuE,EAAE,CAACrD,EAAE,MAAM,EAAEa,EAAExE,EAAE,eAAegH,EAAE,UAAUrD,CAAC,EAAES,EAAEpE,EAAE,eAAegH,EAAE,UAAU,CAAC,EAAE3C,EAAE2vE,GAAG,CAAC,OAAO,CAAC,KAAKxvE,EAAE,KAAKJ,CAAC,EAAE,QAAQpE,CAAC,CAAC,EAAEsE,EAAE48E,GAAGv/E,EAAEC,EAAE,EAAE7B,EAAEC,CAAC,EAAEuE,EAAED,EAAE,KAAK2C,EAAE3C,EAAE,KAAKG,EAAE,CAACF,EAAE,MAAM,EAAE2C,EAAElH,EAAE,eAAeyE,EAAE,UAAUF,CAAC,EAAEG,EAAE1E,EAAE,eAAeyE,EAAE,UAAUwC,CAAC,EAAEtC,EAAEqvE,GAAG,CAAC,OAAO,CAAC,KAAK9sE,EAAE,KAAKxC,CAAC,EAAE,QAAQ1E,CAAC,CAAC,EAAE4E,EAAEs8E,GAAGv9E,EAAE,EAAE,EAAE5D,EAAEC,CAAC,EAAE6E,EAAED,EAAE,KAAKE,EAAEF,EAAE,KAAKG,EAAE,CAACF,EAAE,MAAM,EAAE6C,EAAE1H,EAAE,eAAe+E,EAAE,UAAUF,CAAC,EAAEuC,EAAEpH,EAAE,eAAe+E,EAAE,UAAUD,CAAC,EAAE6C,EAAEqsE,GAAG,CAAC,OAAO,CAAC,KAAKtsE,EAAE,KAAKN,CAAC,EAAE,QAAQpH,CAAC,CAAC,EAAE4H,EAAGkyC,EAAE,UAAUn6C,EAAEI,CAAC,EAAE8H,EAAG,CAACD,EAAG,KAAK,MAAM,EAAEE,GAAG9H,EAAE,eAAe6H,EAAG,UAAUD,EAAG,IAAI,EAAEG,GAAG/H,EAAE,eAAe6H,EAAG,UAAUD,EAAG,IAAI,EAAEI,GAAGgsE,GAAG,CAAC,OAAO,CAAC,KAAKlsE,GAAG,KAAKC,EAAE,EAAE,QAAQ/H,CAAC,CAAC,EAAEoG,GAAGswE,GAAG,CAAC,OAAO,CAAC,EAAE1uE,GAAG,EAAEL,CAAC,EAAE,QAAQ3H,CAAC,CAAC,EAAEkI,GAAG0sE,GAAG,CAAC,OAAO,CAAC,EAAEjwE,EAAE,EAAEyB,EAAE,EAAE,QAAQpG,CAAC,CAAC,EAAEmI,GAAGywE,GAAG,CAAC,OAAO,CAAC,EAAEj0E,EAAE,EAAEyB,EAAE,EAAE,QAAQpG,CAAC,CAAC,EAAEoI,GAAGisE,GAAG,CAAC,OAAO,CAAC,MAAMnsE,EAAE,EAAE,QAAQlI,CAAC,CAAC,EAAEqI,GAAGgsE,GAAG,CAAC,OAAO,CAAC,MAAMlsE,EAAE,EAAE,QAAQnI,CAAC,CAAC,EAAEsI,GAAG60E,GAAG,CAAC,OAAO,CAAC,MAAMj1E,EAAE,EAAE,QAAQlI,CAAC,CAAC,EAAEuI,GAAG40E,GAAG,CAAC,OAAO,CAAC,MAAMh1E,EAAE,EAAE,QAAQnI,CAAC,CAAC,EAAE4I,GAAGy0E,GAAG,CAAC,OAAO,CAACj1E,GAAGC,EAAE,EAAE,QAAQrI,EAAE,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE6I,GAAGw0E,GAAG,CAAC,OAAO,CAAC/0E,GAAGC,EAAE,EAAE,QAAQvI,EAAE,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE8I,GAAG9I,EAAE,KAAK,IAAI4I,GAAG,MAAM,EAAE,OAAOvC,GAAGrG,EAAE,KAAK,IAAI6I,GAAG,MAAM,EAAE,OAAO,OAAO7I,EAAE,8BAA8BsC,CAAC,EAAEtC,EAAE,8BAA8BuC,CAAC,EAAEvC,EAAE,8BAA8BwC,CAAC,EAAExC,EAAE,8BAA8BwE,CAAC,EAAExE,EAAE,8BAA8BoE,CAAC,EAAEpE,EAAE,8BAA8BqE,CAAC,EAAErE,EAAE,8BAA8BkH,CAAC,EAAElH,EAAE,8BAA8B0E,CAAC,EAAE1E,EAAE,8BAA8B2E,CAAC,EAAE3E,EAAE,8BAA8B0H,CAAC,EAAE1H,EAAE,8BAA8BoH,CAAC,EAAEpH,EAAE,8BAA8B2H,CAAC,EAAE3H,EAAE,8BAA8B8H,EAAE,EAAE9H,EAAE,8BAA8B+H,EAAE,EAAE/H,EAAE,8BAA8BgI,EAAE,EAAEhI,EAAE,8BAA8BoG,EAAE,EAAEpG,EAAE,8BAA8BkI,EAAE,EAAElI,EAAE,8BAA8BmI,EAAE,EAAEnI,EAAE,8BAA8BoI,EAAE,EAAEpI,EAAE,8BAA8BsI,EAAE,EAAEtI,EAAE,8BAA8BqI,EAAE,EAAErI,EAAE,8BAA8BuI,EAAE,EAAEvI,EAAE,8BAA8B4I,EAAE,EAAE5I,EAAE,8BAA8B6I,EAAE,EAAE,CAAC,KAAKC,GAAG,KAAKzC,EAAE,CAAC,CAAC,SAAS86E,GAAG1hF,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,IAAI,aAAa,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAI,EAAE,EAAE,EAAE,EAAE,QAAQ0B,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIC,EAAEm4C,EAAE,SAAS95C,EAAE0B,EAAE,EAAE/B,CAAC,EAAEiC,EAAEk4C,EAAE,oBAAoBr6C,EAAEiC,CAAC,EAAE,GAAGE,EAAE,KAAKD,EAAE,KAAKC,EAAE,KAAKD,EAAE,KAAK,GAAGC,EAAE,KAAKD,EAAE,KAAKC,EAAE,KAAKD,EAAE,IAAI,CAAChC,IAAI,GAAG,EAAE,GAAG,GAAGm6C,EAAE,mBAAmB/5C,EAAE,EAAE,EAAEC,CAAC,CAAC,CAAC,OAAOD,CAAC,CAAC,SAASqhF,GAAG3hF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMM,CAAC,EAAE,EAAEC,EAAEsmB,EAAE,cAAcvmB,EAAE,KAAK,EAAE,EAAEA,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAG,EAAEC,EAAE,EAAE0B,EAAEk4E,GAAG,CAAC,OAAO,CAAC,EAAE75E,CAAC,EAAE,QAAQJ,EAAE,MAAM,CAAC,MAAM,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEgC,EAAEo/E,GAAGr/E,EAAE,GAAG/B,CAAC,EAAEiC,EAAEg4E,GAAG,CAAC,OAAO,CAAC,EAAEj4E,CAAC,EAAE,QAAQhC,EAAE,MAAM,CAAC,MAAMI,EAAE,KAAK,CAAC,CAAC,EAAE,OAAOJ,EAAE,8BAA8B+B,CAAC,EAAE/B,EAAE,8BAA8BgC,CAAC,EAAEC,CAAC,CAAC,IAAIy/E,GAAG,CAAC,WAAWhjE,GAAG,YAAY,MAAM,WAAW+iE,EAAE,EAAE,SAASE,GAAG7hF,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,MAAMM,EAAE,MAAMC,EAAE,MAAM,CAAC,EAAEL,EAAE,EAAE,GAAG2mB,EAAE,WAAWtmB,CAAC,EAAE0B,EAAE4kB,EAAE,kBAAkB,EAAEA,EAAE,cAAcvmB,CAAC,CAAC,EAAE,OAAOwhF,GAAG7/E,EAAE1B,EAAE,CAAC,EAAE,EAAE,eAAeD,EAAE,EAAE2B,CAAC,CAAC,CAAC,IAAI8/E,GAAG,CAAC,WAAWljE,GAAG,YAAY,MAAM,WAAWgjE,EAAE,EAAE,SAASC,GAAG9hF,EAAE,EAAEE,EAAE,CAACF,EAAE,KAAK,CAAC,CAAC,CAAC,IAAIgiF,GAAG,CAAC,WAAWljE,GAAG,YAAY,MAAM,WAAW,CAAC,CAAC,OAAO9e,EAAE,MAAM,EAAE,QAAQE,CAAC,IAAI,CAAC,GAAG,CAAC,MAAMI,CAAC,EAAEN,EAAEO,EAAEL,EAAE,EAAE2mB,EAAE,uBAAuBvmB,EAAE,MAAMumB,EAAE,cAAcvmB,EAAE,KAAK,CAAC,EAAE,CAAC,EAAE2B,EAAEC,EAAEC,CAAC,EAAE7B,EAAE,MAAMsC,EAAErC,EAAE,KAAK,IAAID,EAAE,MAAM,EAAE,OAAO,QAAQwC,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIC,EAAED,EAAEZ,EAAED,EAAEE,EAAE,QAAQa,EAAE,EAAEA,EAAEf,EAAEe,IAAI,CAAC,IAAIkB,EAAElB,GAAGd,EAAEC,GAAG,QAAQgC,EAAE,EAAEA,EAAEjC,EAAEiC,IAAI,CAAC,IAAIoD,EAAEpD,EAAEhC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,IAAI,CAAC,IAAIwC,EAAE,KAAK,MAAMzC,EAAEiC,EAAE,CAAC,EAAES,EAAE7B,EAAEmB,EAAEqD,EAAE,EAAE1C,EAAEjC,EAAEgC,GAAG,GAAGD,GAAG,GAAGA,EAAEzC,EAAE,CAAC,IAAI4C,EAAEH,EAAExC,EAAEqF,EAAEzE,EAAEmB,EAAEY,EAAE,EAAED,EAAEjC,EAAE4E,EAAE,CAAC,EAAE5C,GAAGC,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,OAAOtE,EAAE,MAAM,EAAED,EAAE,MAAMA,EAAE,KAAK,EAAE,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,EAAM2hF,GAAG3N,GAAG,CAACt0E,EAAE,IAAI,KAAK,MAAMA,EAAE,CAAC,CAAC,EAAEkiF,GAAGlN,GAAGh2D,GAAGijE,GAAG,KAAK,OAAO,EAAEE,GAAG,CAAC,WAAWnjE,GAAG,YAAY,MAAM,WAAWkjE,EAAE,EAAE,SAASE,GAAGpiF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,QAAQC,EAAE,IAAIC,EAAE,WAAWS,EAAE,UAAUC,EAAE,gBAAgBC,EAAE,WAAWC,EAAE,eAAeC,CAAC,EAAE1C,EAAE4D,EAAE45E,GAAG,CAAC,OAAO,CAAC,EAAEv9E,EAAE,OAAO,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,QAAQgC,EAAE,IAAIC,EAAE,WAAWS,EAAE,UAAUC,EAAE,gBAAgBC,CAAC,CAAC,CAAC,EAAE,GAAG,EAAE,CAAC,IAAI,EAAEoB,EAAE,GAAGtB,IAAI,QAAQ,EAAE,MAAM,SAAS,GAAG,EAAE,MAAM,KAAK,EAAE,CAAC,IAAI2E,EAAE4yE,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQj6E,EAAE,MAAM,CAAC,MAAM,CAAC,EAAE,MAAM,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEgE,EAAEixE,GAAG,CAAC,OAAO,CAAC,EAAEjxE,EAAEqD,CAAG,EAAE,QAAQrH,CAAC,CAAC,EAAEA,EAAE,8BAA8BqH,CAAC,CAAC,MAAMrD,EAAEixE,GAAG,CAAC,OAAO,CAAC,EAAEjxE,EAAE,EAAE,CAAC,EAAE,QAAQhE,CAAC,CAAC,EAAEA,EAAE,8BAA8B,CAAC,CAAC,CAAC,GAAG6C,EAAE,CAAC,IAAI,EAAEmB,EAAE,GAAGtB,IAAI,QAAQG,IAAI,SAASd,EAAE,MAAM,SAAS,GAAGA,EAAE,MAAM,KAAK,EAAE,CAAC,IAAIsF,EAAE4yE,GAAG,CAAC,OAAO,CAAC,EAAEl4E,CAAC,EAAE,QAAQ/B,EAAE,MAAM,CAAC,MAAM,CAAC+B,EAAE,MAAM,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEiC,EAAEg2E,GAAGh6E,EAAEgE,EAAEnB,EAAEwE,EAAEvE,CAAC,EAAE9C,EAAE,8BAA8BqH,CAAC,CAAC,MAAMrD,EAAEg2E,GAAGh6E,EAAEgE,EAAEnB,EAAEd,EAAEe,CAAC,EAAE9C,EAAE,8BAA8B,CAAC,CAAC,CAAC,OAAOgE,CAAC,CAAC,IAAIm+E,GAAG,CAAC,WAAWv8D,GAAG,YAAY,MAAM,WAAWs8D,EAAE,EAAE,SAASE,GAAGtiF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,QAAQC,EAAE,IAAIC,EAAE,WAAWS,EAAE,UAAUC,EAAE,gBAAgBC,EAAE,WAAWC,EAAE,eAAeC,CAAC,EAAE1C,EAAE4D,EAAEs7E,GAAG,CAAC,OAAO,CAAC,EAAEj/E,EAAE,OAAO,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,QAAQgC,EAAE,IAAIC,EAAE,WAAWS,EAAE,UAAUC,EAAE,gBAAgBC,CAAC,CAAC,CAAC,EAAE,GAAG,EAAE,CAAC,IAAI,EAAEoB,EAAEA,EAAEixE,GAAG,CAAC,OAAO,CAAC,EAAEjxE,EAAE,EAAE,CAAC,EAAE,QAAQhE,CAAC,CAAC,EAAEA,EAAE,8BAA8B,CAAC,CAAC,CAAC,GAAG6C,EAAE,CAAC,IAAI,EAAEmB,EAAEA,EAAEg2E,GAAGh6E,EAAEgE,EAAEnB,EAAEd,EAAEe,CAAC,EAAE9C,EAAE,8BAA8B,CAAC,CAAC,CAAC,OAAOgE,CAAC,CAAC,IAAIq+E,GAAG,CAAC,WAAWx8D,GAAG,YAAY,MAAM,WAAWu8D,EAAE,EAAE,SAASE,GAAGxiF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,OAAOM,EAAE,QAAQC,CAAC,EAAE,EAAE,EAAEsmB,EAAE,cAAcvmB,EAAE,KAAK,EAAE,EAAEC,EAAE,MAAM0B,EAAE,EAAE,EAAE,OAAO,GAAG,CAACC,EAAEC,EAAES,EAAEC,CAAC,EAAEw3C,EAAE,mBAAmB/5C,EAAEC,CAAC,EAAE,GAAG4B,IAAI,EAAE,OAAOjC,EAAE,eAAegC,EAAE5B,EAAE,MAAM,CAAC,CAAC,EAAE,IAAIwC,EAAE5C,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOwC,EAAE7C,EAAE,WAAWI,CAAC,EAAE0C,EAAE+uE,GAAGjvE,EAAEC,EAAEzC,EAAE,MAAM6B,EAAEF,EAAEW,EAAEC,EAAEvC,EAAE,MAAM,CAAC,EAAE,OAAOJ,EAAE,eAAegC,EAAE5B,EAAE,MAAM0C,EAAE,MAAM,CAAC,CAAC,IAAIy/E,GAAG,CAAC,WAAWtjE,GAAG,YAAY,MAAM,WAAWqjE,EAAE,EAAE,SAASE,GAAG1iF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU0B,CAAC,EAAE3B,EAAE2wE,GAAG,CAAC1wE,EAAE,CAAC,EAAE,UAAU,EAAE,IAAI2B,EAAE2kB,EAAE,eAAe,EAAEtmB,EAAE,KAAK,EAAE,GAAG4B,EAAEjC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO0C,EAAErC,EAAE,MAAM2B,GAAG,QAAQ0C,EAAE,EAAEA,EAAEzC,EAAE,OAAO,EAAEyC,EAAE,CAAC,IAAIC,EAAE1C,EAAEyC,GAAGiiB,EAAE,OAAOhiB,GAAGjC,EAAE,GAAGiC,GAAG,EAAE,IAAI,6BAA6BA,mBAAmBjC,EAAE,IAAI,CAAC,CAAC,IAAIC,EAAEZ,EAAEA,GAAG,OAAOY,EAAE,GAAG,IAAIC,EAAE+jB,EAAE,cAAc,EAAE,KAAK,EAAE9jB,EAAEs3C,EAAE,aAAa,yBAAyB95C,EAAE,EAAE2B,EAAEW,CAAC,EAAEG,EAAEm3E,GAAG,CAAC,OAAO,CAAC,EAAE55E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM,CAAC6C,EAAE,UAAUA,EAAE,UAAUA,EAAE,QAAQA,EAAE,SAAS,CAAC,CAAC,CAAC,EAAEmB,EAAEi2E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQj6E,EAAE,MAAM,CAAC,MAAM,CAAC6C,EAAE,UAAUD,EAAEC,EAAE,SAAS,CAAC,CAAC,CAAC,EAAE,EAAE,CAACA,EAAE,UAAUA,EAAE,UAAUD,EAAEC,EAAE,UAAUA,EAAE,SAAS,EAAEwE,EAAErH,EAAE,WAAWgE,CAAC,EAAEa,EAAE7E,EAAE,WAAW8C,CAAC,EAAE2B,EAAEqtE,GAAGjtE,EAAEwC,EAAE,CAAC,EAAE,OAAOrH,EAAE,8BAA8B8C,CAAC,EAAE9C,EAAE,8BAA8BgE,CAAC,EAAEhE,EAAE,eAAe6C,EAAE,YAAY4B,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIg+E,GAAG,CAAC,WAAWzjE,GAAG,YAAY,MAAM,WAAWwjE,EAAE,EAAE,SAASE,GAAG5iF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMM,CAAC,EAAE,EAAEC,EAAEsmB,EAAE,cAAcvmB,EAAE,KAAK,EAAE,EAAEA,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAG,EAAEC,EAAE,EAAE0B,EAAEk4E,GAAG,CAAC,OAAO,CAAC,EAAE75E,CAAC,EAAE,QAAQJ,EAAE,MAAM,CAAC,MAAM,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEgC,EAAEo/E,GAAGr/E,EAAE,GAAG/B,CAAC,EAAEiC,EAAEg4E,GAAG,CAAC,OAAO,CAAC,EAAEj4E,CAAC,EAAE,QAAQhC,EAAE,MAAM,CAAC,MAAMI,EAAE,KAAK,CAAC,CAAC,EAAE,OAAOJ,EAAE,8BAA8B+B,CAAC,EAAE/B,EAAE,8BAA8BgC,CAAC,EAAEC,CAAC,CAAC,IAAI0gF,GAAG,CAAC,WAAWtjE,GAAG,YAAY,MAAM,WAAWqjE,EAAE,EAAME,GAAGxN,GAAG71D,GAAGzf,GAAG,OAAO,SAASA,CAAC,EAAE,EAAE,EAAE,MAAM,EAAE+iF,GAAG,CAAC,WAAWtjE,GAAG,YAAY,MAAM,WAAWqjE,EAAE,EAAME,GAAG1N,GAAG51D,GAAG1f,GAAG,KAAK,IAAIA,CAAC,IAAI,EAAE,EAAE,EAAE,EAAE,MAAM,EAAEijF,GAAG,CAAC,WAAWvjE,GAAG,YAAY,MAAM,WAAWsjE,EAAE,EAAME,GAAG5N,GAAG31D,GAAG3f,GAAG,OAAO,MAAMA,CAAC,EAAE,EAAE,EAAE,MAAM,EAAEmjF,GAAG,CAAC,WAAWxjE,GAAG,YAAY,MAAM,WAAWujE,EAAE,EAAE,SAASE,GAAGpjF,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,MAAMM,EAAE,KAAKC,EAAE,IAAI,CAAC,EAAEL,EAAE,EAAEmyE,GAAG/xE,EAAEC,EAAE,CAAC,EAAE,OAAO,EAAE,eAAe,CAAC,EAAE,MAAM,EAAE,UAAU,CAAC,CAAC,CAAC,IAAI8iF,GAAG,CAAC,WAAWtjE,GAAG,YAAY,MAAM,WAAWqjE,EAAE,EAAME,GAAGhO,GAAGr1D,GAAGjgB,GAAG,KAAK,MAAMA,CAAC,CAAC,EAAEujF,GAAG,CAAC,WAAWtjE,GAAG,YAAY,MAAM,WAAWqjE,EAAE,EAAME,GAAGlP,GAAG,CAACt0E,EAAE,IAAIA,GAAG,CAAC,EAAEyjF,GAAGzO,GAAG90D,GAAGsjE,GAAG,KAAK,MAAM,EAAEE,GAAG,CAAC,WAAWxjE,GAAG,YAAY,MAAM,WAAWujE,EAAE,EAAME,GAAGrO,GAAGn1D,GAAGngB,GAAGA,EAAE,EAAE,EAAE,MAAM,EAAE4jF,GAAG,CAAC,WAAWzjE,GAAG,YAAY,MAAM,WAAWwjE,EAAE,EAAME,GAAGvP,GAAG,CAACt0E,EAAE,IAAIA,GAAG,CAAC,EAAE8jF,GAAG9O,GAAG50D,GAAGyjE,GAAG,KAAK,MAAM,EAAEE,GAAG,CAAC,WAAW3jE,GAAG,YAAY,MAAM,WAAW0jE,EAAE,EAAE,SAASE,GAAGhkF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,YAAY,EAAE,KAAK,EAAE,MAAM0B,EAAE,KAAKC,CAAC,EAAE5B,EAAE2wE,GAAG1wE,EAAE,KAAK,EAAE,IAAI4B,EAAE5B,EAAE,MAAM,GAAGqC,EAAET,EAAE,EAAEU,EAAE3C,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOuC,EAAE+jB,EAAE,cAActmB,EAAE,KAAK,EAAEwC,EAAE,IAAI,aAAaD,CAAC,EAAE,SAASE,EAAEkB,EAAE,CAAC,IAAI,EAAEA,EAAE/B,EAAEoF,EAAErD,EAAE,EAAE,KAAK,IAAI,EAAE,EAAE,CAAC,EAAEa,EAAEb,EAAE,EAAE,KAAK,IAAI,EAAE,EAAEtB,CAAC,EAAE+B,EAAE,EAAE,KAAK4C,GAAGxC,EAAEwC,IAAI,CAAC,IAAI3C,EAAE/B,EAAE0E,GAAG5C,GAAGC,EAAEA,CAAC,CAAC,OAAOD,CAAC,CAAC,QAAQT,EAAE,EAAEA,EAAEpB,EAAEoB,IAAI,CAAC,IAAI,EAAElB,EAAEkB,CAAC,EAAEqD,EAAE1E,EAAEqB,GAAG,KAAK,IAAI,EAAEjC,EAAE,EAAE,CAACC,CAAC,EAAEa,EAAEmB,GAAGqD,CAAC,CAAC,OAAOrH,EAAE,eAAeK,EAAE,MAAMA,EAAE,MAAMwC,CAAC,CAAC,CAAC,IAAIkhF,GAAG,CAAC,WAAWzjE,GAAG,YAAY,MAAM,WAAWwjE,EAAE,EAAE,SAASE,GAAGlkF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,EAAE,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,YAAY0B,EAAE,KAAKC,EAAE,MAAMC,EAAE,KAAKS,CAAC,EAAEtC,EAAE2wE,GAAG,EAAE,SAAS,EAAE,IAAIpuE,EAAEgkB,EAAE,cAAc,EAAE,KAAK,EAAE/jB,EAAE,EAAE,MAAM,GAAGC,EAAE7C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO8C,EAAE9C,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO2D,EAAEhE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,EAAE,IAAI,aAAa2C,CAAC,EAAE0E,EAAE1E,EAAE,QAAQkC,EAAE,EAAEA,EAAEwC,EAAExC,IAAI,CAAC,IAAIJ,EAAEI,EAAEjC,EAAE8B,EAAEG,EAAEJ,EAAE,KAAK,IAAI,EAAEA,EAAE1C,CAAC,EAAE4C,EAAEE,EAAEJ,EAAE,KAAK,IAAI7B,EAAE6B,EAAE1C,EAAE,CAAC,EAAE6C,EAAE,EAAE,QAAQ0C,EAAE5C,EAAE4C,EAAE3C,EAAE2C,IAAI1C,GAAG,KAAK,IAAI9B,EAAEwE,GAAG,CAAC,EAAE1C,EAAE3C,EAAE2C,EAAE5C,EAAE,QAAQsF,EAAE5C,EAAE4C,EAAE3C,EAAE2C,IAAI,CAAC,IAAIxC,EAAE,GAAG7C,EAAES,EAAEI,EAAEwE,GAAGtD,EAAEa,GAAGD,EAAEC,IAAIyC,IAAIxC,GAAG,KAAK,IAAIF,EAAE,CAAClC,CAAC,GAAGoC,GAAGjC,EAAEgC,GAAG,EAAEyC,IAAIxC,CAAC,CAAC,CAAC,OAAO9E,EAAE,eAAe,EAAE,MAAMK,EAAE,MAAM,CAAC,CAAC,CAAC,IAAI4jF,GAAG,CAAC,WAAW1jE,GAAG,YAAY,MAAM,WAAWyjE,EAAE,EAAE,SAASE,GAAGpkF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,iBAAiB,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAE/B,EAAEgC,EAAE3B,EAAE,MAAM4B,EAAED,EAAE,OAAOU,EAAEikB,EAAE,eAAe,EAAE3kB,CAAC,EAAEW,EAAED,EAAEE,EAAEu3C,EAAE,mBAAmBx3C,EAAEV,CAAC,EAAEY,EAAEd,EAAE,KAAK,IAAI1B,EAAE,MAAM,EAAE,OAAO,GAAGuC,GAAG,KAAK,CAAC,IAAI8B,EAAE,IAAI,MAAMzC,CAAC,EAAE,QAAQ0C,EAAE,EAAEA,EAAED,EAAE,OAAOC,IAAID,EAAEC,GAAG3C,EAAEY,EAAE+B,IAAI9B,EAAEmxE,GAAGnxE,EAAEb,EAAE3B,EAAE,MAAMuC,EAAE8B,CAAC,EAAE/B,EAAEw3C,EAAE,iBAAiBx3C,EAAE,OAAOV,CAAC,EAAED,EAAE0C,CAAC,CAACqsE,GAAG1wE,EAAE,KAAK,EAAE85C,EAAE,2BAA2B,MAAMx3C,EAAEV,CAAC,EAAE,GAAG,CAACa,EAAEkB,CAAC,EAAEm2C,EAAE,0BAA0Bn4C,EAAEW,CAAC,EAAE,EAAEgkB,EAAE,cAAc3iB,CAAC,EAAEqD,EAAEgrE,GAAGxvE,EAAE,EAAEC,EAAEzC,EAAE,KAAK,EAAEwE,EAAE9C,EAAE,MAAMsF,EAAEvE,EAAEzC,EAAE,KAAK,EAAEoE,EAAE3B,EAAE,OAAO,IAAI2B,EAAE01C,EAAE,qBAAqBr3C,EAAEJ,CAAC,GAAG,CAAC,OAAOmC,EAAE,MAAMJ,EAAE,MAAMpE,EAAE,KAAK,CAAC,CAAC,IAAI8jF,GAAG,CAAC,WAAW3jE,GAAG,YAAY,MAAM,WAAW0jE,EAAE,EAAE,SAASE,GAAGtkF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE0wE,GAAG1wE,EAAE,SAAS,EAAE,GAAG,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,CAAC,EAAE5B,EAAE6B,EAAE,EAAE0kB,EAAE,OAAOwzB,EAAE,+BAA+B,EAAEl4C,CAAC,EAAE,IAAI,wEAAwE,oBAAoBA,IAAI,EAAE,IAAIS,EAAEy3C,EAAE,kBAAkB95C,EAAE,MAAM,EAAE,EAAE4B,EAAEF,EAAEC,CAAC,EAAEW,EAAE,GAAGD,EAAE,cAAc,GAAGA,EAAE,eAAe,GAAGikB,EAAE,YAAYjkB,EAAE,QAAQA,EAAE,QAAQ,EAAEC,EAAE6xE,GAAG,CAAC,OAAO,CAAC,EAAEn0E,CAAC,EAAE,QAAQL,CAAC,CAAC,MAAM,CAAC,IAAI4C,EAAE5C,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOwC,EAAE8jB,EAAE,eAAetmB,EAAE,KAAK,EAAEyC,EAAEk5E,GAAGp5E,EAAEvC,EAAE,MAAMA,EAAE,MAAMwC,EAAEH,EAAE,KAAK,EAAEC,EAAE3C,EAAE,eAAe0C,EAAE,SAASrC,EAAE,MAAMyC,EAAE,MAAM,CAAC,CAAC,OAAOH,CAAC,CAAC,IAAI0hF,GAAG,CAAC,WAAW3jE,GAAG,YAAY,MAAM,WAAW0jE,EAAE,EAAE,SAASE,GAAGxkF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,EAAE,WAAWC,CAAC,EAAE7B,EAAE2wE,GAAG1wE,EAAE,WAAW,EAAE,IAAIqC,EAAEy3C,EAAE,kBAAkB95C,EAAE,MAAM,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,CAAC,EAAEU,EAAE3C,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOuC,EAAEs5E,GAAGv5E,EAAEtC,EAAE,MAAMA,EAAE,MAAMsmB,EAAE,eAAetmB,EAAE,KAAK,EAAEqC,EAAE,KAAK,EAAE,OAAO1C,EAAE,eAAe4C,EAAE,MAAM,UAAUA,EAAE,MAAM,CAAC,CAAC,IAAI2hF,GAAG,CAAC,WAAW3jE,GAAG,YAAY,MAAM,WAAW0jE,EAAE,EAAE,SAASE,GAAG1kF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,MAAM,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ0B,EAAE,IAAIC,EAAE,gBAAgBC,CAAC,EAAE7B,EAAE2wE,GAAG,CAAC1wE,EAAE,CAAC,EAAE,eAAe,EAAE,IAAIqC,EAAEy3C,EAAE,kBAAkB,EAAE,MAAM,EAAEp4C,EAAE,EAAEC,EAAEC,CAAC,EAAEU,EAAE3C,EAAE,WAAW,CAAC,EAAE4C,EAAEu5E,GAAGx5E,EAAED,CAAC,EAAEG,EAAEH,EAAE,YAAYI,EAAEJ,EAAE,aAAasB,EAAEtB,EAAE,YAAY,EAAEA,EAAE,cAAc2E,EAAE3E,EAAE,eAAemC,EAAEnC,EAAE,cAAc+B,EAAE/B,EAAE,qBAAqBgC,EAAEhC,EAAE,sBAAsBiC,EAAEjC,EAAE,qBAAqBkC,EAAEH,EAAE,EAAE/B,EAAE,QAAQ,MAAM4E,EAAE3C,EAAE,EAAEjC,EAAE,QAAQ,KAAKoC,EAAEJ,EAAE,EAAEhC,EAAE,QAAQ,IAAI6E,EAAE6oB,GAAG,EAAE,MAAM,SAAS,EAAErrB,EAAE/E,EAAE,WAAWK,CAAC,EAAE,QAAQ2E,EAAE,EAAEA,EAAEtC,EAAE,UAAU,EAAEsC,EAAE,QAAQC,EAAE,EAAEA,EAAEvC,EAAE,WAAW,EAAEuC,EAAE,QAAQC,EAAE,EAAEA,EAAExC,EAAE,QAAQ,EAAEwC,EAAE,QAAQC,EAAE,EAAEA,EAAEzC,EAAE,SAAS,EAAEyC,EAAE,QAAQC,EAAE,EAAEA,EAAE1C,EAAE,QAAQ,EAAE0C,EAAE,CAAC,IAAI2C,EAAE7C,EAAEN,EAAE6C,EAAEtC,EAAEL,EAAEkD,EAAE5C,EAAEkC,EAAEW,EAAG,EAAE,QAAQC,EAAG,EAAEA,EAAGzD,EAAEyD,GAAI,EAAE,CAAC,IAAIC,IAAIJ,EAAEG,GAAIrF,EAAE,GAAG,EAAEsF,GAAG,GAAGA,IAAIzF,EAAE,UAAU,KAAK,MAAMyF,EAAE,IAAIA,IAAI,QAAQC,GAAG,EAAEA,GAAG1D,EAAE0D,IAAIf,EAAE,CAAC,IAAIgB,IAAIZ,EAAEW,IAAItF,EAAE,GAAG,EAAEuF,GAAG,GAAGA,IAAI3F,EAAE,WAAW,KAAK,MAAM2F,EAAE,IAAIA,IAAI,QAAQ5B,GAAG,EAAEA,GAAG9B,EAAE8B,IAAI5B,EAAE,CAAC,IAAI0D,IAAIP,EAAEvB,IAAIzC,EAAE,GAAGuE,GAAG,GAAGA,IAAI7F,EAAE,UAAU,KAAK,MAAM6F,EAAE,IAAIA,GAAG,SAAS,IAAIC,GAAG/D,EAAEC,EAAEC,EAAE,EAAE/B,EAAE,IAAIoC,EAAEmD,GAAGE,GAAGE,GAAGtD,CAAC,EAAEwD,GAAGP,EAAGxD,EAAEC,EAAEyD,GAAGzD,EAAE8B,GAAGiC,GAAGF,KAAKC,GAAG,EAAE,EAAKC,KAAK,IAAWT,GAAIlD,EAAE,IAAIC,EAAEmD,GAAGE,GAAGE,GAAGtD,CAAC,EAAEyD,GAAE,CAAC,CAAC,CAACnB,EAAE,IAAIU,EAAGjD,EAAEE,EAAEC,EAAEC,EAAEH,CAAC,CAAC,CAAC,OAAOjF,EAAE,eAAeuH,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIk9E,GAAG,CAAC,WAAW5jE,GAAG,YAAY,MAAM,WAAW2jE,EAAE,EAAE,SAASE,GAAG5kF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE,EAAE0B,EAAE,EAAEgvE,GAAG,CAAC,EAAE,CAAC,EAAE,aAAa,EAAE,GAAG,CAAC,WAAW/uE,EAAE,QAAQC,EAAE,IAAIS,EAAE,gBAAgBC,CAAC,EAAEvC,EAAEwC,EAAEu3C,EAAE,kBAAkBp4C,EAAE,MAAMC,EAAEC,EAAE,EAAES,EAAEC,CAAC,EAAEE,EAAE7C,EAAE,KAAK,IAAI+B,EAAE,MAAM,EAAE,OAAOe,EAAEstB,GAAGxtB,EAAE,SAASb,EAAE,MAAMk6E,GAAGp5E,EAAEd,EAAE,MAAMA,EAAE,MAAMa,CAAC,EAAE,MAAM,EAAEoB,EAAEpB,EAAE,aAAa,EAAEA,EAAE,YAAYyE,EAAEzE,EAAE,eAAeiC,EAAEjC,EAAE,cAAc6B,EAAE7B,EAAE,sBAAsB8B,EAAE9B,EAAE,qBAAqB+B,EAAED,EAAE,EAAE9B,EAAE,QAAQ,KAAKgC,EAAEH,EAAE,EAAE7B,EAAE,QAAQ,IAAI0E,EAAE8oB,GAAGruB,EAAE,MAAM,SAAS,EAAE+C,EAAE9E,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOkH,EAAE6oB,GAAG/vB,EAAE,MAAM,UAAUyE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEnC,EAAE,UAAU,EAAEmC,EAAE,QAAQC,EAAE,EAAEA,EAAEpC,EAAE,WAAW,EAAEoC,EAAE,QAAQC,EAAE,EAAEA,EAAErC,EAAE,SAAS,EAAEqC,EAAE,QAAQC,EAAE,EAAEA,EAAEtC,EAAE,QAAQ,EAAEsC,EAAE,CAAC,IAAIC,EAAEF,EAAEL,EAAEQ,EAAEF,EAAEP,EAAEoD,EAAE,EAAE,QAAQN,EAAE,EAAEA,EAAEhD,EAAEgD,GAAGJ,EAAE,CAAC,IAAIW,GAAG7C,EAAEsC,GAAGzD,EAAE,GAAG,EAAEgE,EAAE,GAAGA,GAAGpF,EAAE,WAAW,KAAK,MAAMoF,CAAC,IAAIA,GAAG,QAAQC,EAAG,EAAEA,EAAGvD,EAAEuD,GAAIpD,EAAE,CAAC,IAAIqD,GAAI9C,EAAE6C,GAAI,EAAE,GAAGC,EAAG,GAAGA,GAAItF,EAAE,UAAU,KAAK,MAAMsF,CAAE,IAAIA,EAAG,SAAS,IAAIC,GAAG1D,EAAEC,EAAE,EAAE5B,EAAE,IAAIiC,EAAEiD,EAAEE,EAAGlD,CAAC,EAAEoD,GAAGX,EAAE/C,EAAEuD,EAAGI,GAAGF,KAAKC,GAAG,EAAE,EAAKC,KAAK,IAAWN,GAAGR,EAAE,IAAIxC,EAAEiD,EAAEE,EAAGlD,CAAC,EAAEqD,GAAE,CAAC,CAACf,EAAE,IAAIS,EAAEhD,EAAEE,EAAEC,EAAEF,CAAC,CAAC,CAAC,OAAOhF,EAAE,eAAesH,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIq9E,GAAG,CAAC,WAAWhkE,GAAG,YAAY,MAAM,WAAW+jE,EAAE,EAAE,SAASE,GAAG9kF,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAEsmB,EAAE,eAAe,CAAC,EAAE,EAAEq1D,GAAGl8E,EAAE,EAAEE,EAAE,EAAEK,EAAE,KAAK,EAAE0B,EAAEk6E,GAAGn8E,EAAE,EAAEE,EAAEK,EAAE,GAAGD,CAAC,EAAE,MAAM,CAAC,EAAE,OAAO2B,EAAE,MAAM,CAAC,CAAC,IAAI8iF,GAAG,CAAC,WAAW/jE,GAAG,YAAY,MAAM,WAAW,CAAC,CAAC,OAAOhhB,EAAE,MAAM,EAAE,QAAQE,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEI,CAAC,EAAEN,EAAE,CAAC,WAAWO,EAAE,QAAQ,EAAE,IAAI,EAAE,oBAAoB0B,CAAC,EAAE,EAAEC,EAAEhC,EAAE+wE,GAAG3wE,EAAE,mBAAmB,EAAE,IAAI6B,EAAED,EAAE,KAAK,IAAI5B,EAAE,MAAM,EAAE,OAAOsC,EAAEy3C,EAAE,kBAAkB/5C,EAAE,MAAMC,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAACsC,EAAEC,CAAC,EAAEgiF,GAAG3iF,EAAE7B,EAAE,MAAMA,EAAE,MAAM2B,EAAEW,CAAC,EAAEG,EAAEb,EAAE,MAAMW,EAAED,EAAE,SAAStC,EAAE,KAAK,EAAE0C,EAAEd,EAAE,MAAMY,EAAEF,EAAE,SAAStC,EAAE,KAAK,EAAE,MAAM,CAAC,CAAC,OAAOyC,EAAE,MAAMH,EAAE,SAAS,MAAMtC,EAAE,KAAK,EAAE,CAAC,OAAO0C,EAAE,MAAMJ,EAAE,SAAS,MAAM,OAAO,CAAC,CAAC,CAAC,EAAE,SAASoiF,GAAGhlF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAE4kB,EAAE,eAAe,EAAEtmB,EAAE,KAAK,EAAE,EAAE85C,EAAE,0BAA0B95C,EAAE,MAAM0B,CAAC,EAAE,GAAGW,EAAEikB,EAAE,cAAc,CAAC,EAAE,EAAE,CAAC,EAAE/jB,EAAE5C,EAAE,eAAe,CAAC,EAAE,UAAU,IAAI,aAAa,CAAC0C,CAAC,CAAC,CAAC,EAAE,EAAE,KAAKE,CAAC,EAAE,IAAIC,EAAE+xE,GAAG,CAAC,OAAO,CAAC,EAAEv0E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAE,EAAE,KAAK6C,CAAC,EAAE,IAAIC,EAAEo+E,GAAG,CAAC,OAAO,CAAC,EAAEr+E,EAAE,EAAED,CAAC,EAAE,QAAQ5C,CAAC,CAAC,EAAE,EAAE,KAAK8C,CAAC,EAAE,IAAIkB,EAAEi8E,GAAG,CAAC,OAAO,CAAC,EAAEn9E,CAAC,EAAE,QAAQ9C,EAAE,MAAM,CAAC,KAAK,EAAE,SAAS,CAAC,CAAC,CAAC,EAAE,OAAO,EAAE,QAAQiE,GAAGjE,EAAE,8BAA8BiE,CAAC,CAAC,EAAED,CAAC,CAAC,IAAI+gF,GAAG,CAAC,WAAWhkE,GAAG,YAAY,MAAM,WAAW+jE,EAAE,EAAE,SAASE,GAAGllF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE2wE,GAAG1wE,EAAE,KAAK,EAAE,IAAI0B,EAAE4kB,EAAE,eAAe,EAAEtmB,EAAE,KAAK,EAAE2B,EAAED,EAAEE,EAAEk4C,EAAE,mBAAmBn4C,EAAE3B,EAAE,MAAM,MAAM,EAAEqC,EAAErC,EAAE4B,GAAG,OAAOS,EAAE20E,GAAG,CAAC,OAAO,CAAC,EAAEh3E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAKiC,CAAC,CAAC,CAAC,EAAED,EAAEm4C,EAAE,iBAAiBn4C,EAAE,OAAO3B,EAAE,MAAM,MAAM,GAAG85C,EAAE,2BAA2B,MAAMn4C,EAAEU,EAAE,MAAM,MAAM,EAAE,GAAG,CAACC,EAAEC,CAAC,EAAEu3C,EAAE,0BAA0Bz3C,EAAE,MAAMV,CAAC,EAAEa,EAAE8jB,EAAE,cAAc/jB,CAAC,EAAEE,EAAE6jB,EAAE,oBAAoBA,EAAE,cAAchkB,CAAC,EAAED,EAAE,KAAK,EAAEsB,EAAEhE,EAAE,KAAK,IAAI0C,EAAE,MAAM,EAAE,OAAO,QAAQ2E,EAAE,EAAEA,EAAEvE,EAAE,OAAO,EAAEuE,EAAE,CAAC,IAAIxC,EAAEwC,EAAExE,EAAE4B,EAAET,EAAEa,GAAG,QAAQH,EAAE,EAAEA,EAAE7B,EAAE,EAAE6B,EAAE,CAAC,IAAIC,EAAEX,EAAEa,EAAEH,IAAI,OAAO,MAAMC,CAAC,GAAGA,EAAEF,KAAKA,EAAEE,EAAE,CAAC7B,EAAEuE,GAAG5C,CAAC,CAACxC,GAAG,MAAMjC,EAAE,8BAA8B0C,CAAC,EAAE,IAAI,EAAE1C,EAAE,eAAe2C,EAAED,EAAE,MAAMI,CAAC,EAAE,GAAG,EAAE,CAAC,IAAIuE,EAAE8yC,EAAE,qBAAqBx3C,EAAEZ,CAAC,EAAE8C,EAAEo1E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQj6E,EAAE,MAAM,CAAC,MAAMqH,CAAC,CAAC,CAAC,EAAE,OAAOrH,EAAE,8BAA8B,CAAC,EAAE6E,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIogF,GAAG,CAAC,WAAWjkE,GAAG,YAAY,MAAM,WAAWgkE,EAAE,EAAE,SAASE,GAAGplF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,SAAS,EAAE,KAAK,CAAC,EAAED,EAAE2wE,GAAG1wE,EAAE,WAAW,EAAE,IAAI0B,EAAE,EAAE,IAAI,CAAC0C,EAAEC,IAAID,EAAE,GAAGpE,EAAE,MAAMqE,GAAGD,EAAE,EAAE,EAAEzC,EAAE,EAAE,IAAIyC,GAAGA,EAAE,EAAE,EAAExC,EAAE,EAAE,IAAI,CAACwC,EAAEC,IAAID,EAAE,GAAGpE,EAAE,MAAMqE,EAAE,EAAEhC,EAAE,IAAI,UAAU,EAAE,EAAEC,EAAE3C,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOuC,EAAEvC,EAAE,MAAM,OAAOwC,EAAE8jB,EAAE,eAAetmB,EAAE,KAAK,EAAEyC,EAAE6jB,EAAE,cAAc5kB,CAAC,EAAEiC,EAAEjC,EAAE,OAAO,EAAE4kB,EAAE,eAAe5kB,CAAC,EAAEsF,EAAEsf,EAAE,uBAAuBtmB,EAAE,MAAMyC,CAAC,EAAE,QAAQ2B,EAAE,EAAEA,EAAE3B,EAAE2B,IAAI,CAAC,IAAIC,EAAEiiB,EAAE,WAAWliB,EAAET,EAAE,CAAC,EAAE,QAAQY,EAAE,EAAEA,EAAEZ,EAAEY,IAAIF,EAAEE,GAAG5C,EAAE4C,GAAGF,EAAEE,GAAG5C,EAAE4C,GAAG,EAAEF,EAAEE,GAAGlC,EAAEgC,EAAEE,IAAI3C,EAAE2C,KAAKF,EAAEE,IAAI3C,EAAE2C,GAAG,GAAG,EAAEF,EAAEE,GAAGlC,GAAGgC,EAAEA,EAAE,IAAI,CAACE,EAAE0C,IAAI1C,EAAE5C,EAAEsF,EAAE,EAAE,IAAI3C,EAAEgiB,EAAE,WAAWjiB,EAAE9B,EAAEC,CAAC,EAAEwE,EAAE5C,GAAG9B,EAAEgC,EAAE,CAAC,MAAM,CAAC,OAAO3E,EAAE,MAAMqH,EAAEtF,EAAE1B,EAAE,KAAK,EAAE,MAAM0B,EAAE,MAAM1B,EAAE,KAAK,CAAC,CAAC,IAAI8kF,GAAG,CAAC,WAAWjkE,GAAG,YAAY,MAAM,WAAWgkE,EAAE,EAAME,GAAGhR,GAAG,CAACt0E,EAAE,IAAI,CAAC,IAAIE,EAAEF,EAAE,EAAE,OAAOA,EAAE,GAAG,EAAE,GAAGA,GAAG,GAAG,GAAG,EAAEE,GAAGA,EAAE,GAAG,CAAC,CAAC,EAAEqlF,GAAGvQ,GAAG3zD,GAAGikE,EAAE,EAAEE,GAAG,CAAC,WAAWnkE,GAAG,YAAY,MAAM,WAAWkkE,EAAE,EAAME,GAAGjlF,GAAG+E,GAAG,CAAC,EAAE,SAASmgF,GAAG1lF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,CAAC,EAAE,EAAE,CAAC,IAAI,CAAC,EAAED,EAAE,EAAEC,EAAE,MAAM,OAAO0B,EAAE,EAAE,GAAGA,IAAI,KAAKA,EAAE,EAAE,GAAGA,IAAI,EAAE,EAAE,MAAM,MAAM,4EAA4E,iBAAiBA,GAAG,EAAE,IAAIC,EAAE2kB,EAAE,eAAe,CAAC5kB,CAAC,EAAE1B,EAAE,KAAK,EAAE4B,EAAEiiF,GAAG,CAAC,OAAO,CAAC,EAAE7jF,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,iBAAiBgC,EAAE,SAAS,EAAE,CAAC,CAAC,EAAEU,EAAEy3C,EAAE,qBAAqBl4C,EAAE,MAAMD,CAAC,EAAEW,EAAEs3E,GAAG,CAAC,OAAO,CAAC,EAAEh4E,CAAC,EAAE,QAAQjC,EAAE,MAAM,CAAC,MAAM0C,CAAC,CAAC,CAAC,EAAEE,EAAEq2E,GAAG,CAAC,OAAO,CAAC,EAAE54E,EAAE,EAAEsC,CAAC,EAAE,QAAQ3C,CAAC,CAAC,EAAE6C,EAAE6yE,GAAG,CAAC,OAAO,CAAC,EAAE9yE,CAAC,EAAE,QAAQ5C,CAAC,CAAC,EAAE8C,EAAEm9E,GAAG,CAAC,OAAO,CAAC,EAAEp9E,CAAC,EAAE,QAAQ7C,EAAE,MAAM,CAAC,KAAKgC,EAAE,SAAS,EAAE,CAAC,CAAC,EAAEgC,EAAEi2E,GAAG,CAAC,OAAO,CAAC,EAAEn3E,CAAC,EAAE,QAAQ9C,EAAE,MAAM,CAAC,MAAM0C,CAAC,CAAC,CAAC,EAAE,EAAEw+E,GAAG,CAAC,OAAO,CAAC,EAAEr+E,EAAE,EAAEmB,CAAC,EAAE,QAAQhE,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BiC,CAAC,EAAEjC,EAAE,8BAA8B2C,CAAC,EAAE3C,EAAE,8BAA8B4C,CAAC,EAAE5C,EAAE,8BAA8B6C,CAAC,EAAE7C,EAAE,8BAA8B8C,CAAC,EAAE9C,EAAE,8BAA8BgE,CAAC,EAAE,CAAC,CAAC,IAAIyhF,GAAG,CAAC,WAAWzhE,GAAG,YAAY,MAAM,WAAWwhE,EAAE,EAAE,SAASE,GAAG5lF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,KAAK,EAAE,WAAW0B,CAAC,EAAE3B,EAAE2wE,GAAG1wE,EAAE,aAAa,EAAE,IAAI2B,EAAED,EAAE1B,EAAEmlF,GAAG,CAAC,OAAO,CAAC,OAAOnlF,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,IAAI,EAAE,CAAC,CAAC,EAAEiC,EAAED,EAAE,MAAM,GAAGU,EAAEV,EAAE,MAAM,GAAGW,EAAE3C,EAAE,KAAK,IAAIgC,EAAE,MAAM,EAAE,OAAOY,EAAE,CAACX,EAAE,CAAC,EAAEY,EAAE8jB,EAAE,oBAAoBA,EAAE,cAAc/jB,CAAC,EAAE,OAAO,EAAE,QAAQE,EAAE,EAAEA,EAAEb,EAAE,EAAEa,EAAE,CAAC,IAAIkB,EAAElB,EAAEJ,EAAE,EAAE,IAAI,aAAaA,EAAE,CAAC,EAAE,EAAE,GAAGC,EAAEqB,GAAG,QAAQS,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,EAAEA,GAAG,EAAEA,EAAE,GAAG9B,EAAEqB,EAAES,GAAG,IAAI4C,EAAEk+E,GAAG,KAAK,EAAE,SAAS,CAAC,EAAE1gF,EAAE/B,EAAE,EAAE,QAAQ2B,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAE2C,EAAE,EAAExE,EAAEgC,EAAEJ,GAAG,EAAE,OAAO,QAAQE,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,GAAGD,EAAE,EAAEC,GAAG,CAAC9B,EAAEgC,EAAEJ,GAAGE,EAAE,KAAK,CAAC,CAAC,CAAC,OAAO5C,GAAG/B,EAAE,8BAA8BgC,CAAC,EAAEhC,EAAE,eAAe4C,EAAE,QAAQC,CAAC,CAAC,CAAC,IAAI8iF,GAAG,CAAC,WAAWvkE,GAAG,YAAY,MAAM,WAAWskE,EAAE,EAAME,GAAG5nC,GAAG,wBAAwB,SAAS6nC,GAAG/lF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,aAAa0B,EAAE,eAAeC,CAAC,EAAE5B,EAAE2wE,GAAG1wE,EAAE,mBAAmB,EAAE,IAAI4B,EAAEjC,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOqC,EAAE1C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC,gBAAgB2C,CAAC,EAAEijF,GAAG3jF,EAAES,EAAE,EAAEX,EAAEC,CAAC,EAAE,OAAOhC,EAAE,eAAe,CAAC2C,EAAE,MAAM,EAAE,QAAQ,IAAI,WAAWA,CAAC,CAAC,CAAC,CAAC,IAAImjF,GAAG,CAAC,WAAWtkE,GAAG,YAAY,MAAM,WAAWqkE,EAAE,EAAME,GAAG/nC,GAAG,wBAAwB,SAASgoC,GAAGlmF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,aAAa0B,EAAE,eAAeC,EAAE,mBAAmBC,CAAC,EAAE7B,EAAE2wE,GAAG1wE,EAAE,yBAAyB,EAAE,IAAIqC,EAAE1C,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOsC,EAAE3C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC,gBAAgB4C,EAAE,aAAaC,CAAC,EAAEkjF,GAAGrjF,EAAEC,EAAE,EAAEZ,EAAEC,EAAEC,CAAC,EAAE,MAAM,CAACjC,EAAE,eAAe,CAAC4C,EAAE,MAAM,EAAE,QAAQ,IAAI,WAAWA,CAAC,CAAC,EAAE5C,EAAE,eAAe,CAAC,EAAE,QAAQ,IAAI,WAAW,CAAC6C,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIojF,GAAG,CAAC,WAAWxkE,GAAG,YAAY,MAAM,WAAWukE,EAAE,EAAME,GAAGloC,GAAG,wBAAwB,SAASmoC,GAAGrmF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,aAAa0B,EAAE,eAAeC,EAAE,aAAaC,CAAC,EAAE7B,EAAE2wE,GAAG1wE,EAAE,4BAA4B,EAAE,IAAIqC,EAAE1C,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOsC,EAAE3C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO4C,EAAE,EAAEC,EAAEd,EAAEe,EAAEd,EAAEgC,EAAE/B,EAAE,CAAC,gBAAgB,EAAE,eAAeoF,CAAC,EAAE6+E,GAAGxjF,EAAEC,EAAEC,EAAEC,EAAEC,EAAEkB,CAAC,EAAE,MAAM,CAAChE,EAAE,eAAe,CAAC,EAAE,MAAM,EAAE,QAAQ,IAAI,WAAW,CAAC,CAAC,EAAEA,EAAE,eAAe,CAACqH,EAAE,MAAM,EAAE,UAAU,IAAI,aAAaA,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI++E,GAAG,CAAC,WAAW1kE,GAAG,YAAY,MAAM,WAAWykE,EAAE,EAAE,SAASE,GAAGvmF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,QAAQO,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,MAAM,EAAE,QAAQ0B,EAAE,SAASC,CAAC,EAAE5B,EAAE2wE,GAAG1wE,EAAE,QAAQ,EAAE,IAAI4B,EAAE0kB,EAAE,cAActmB,EAAE,KAAK,EAAEqC,EAAE,IAAI,aAAaT,EAAE,CAAC,EAAES,EAAE,KAAKV,CAAC,EAAE,IAAIW,EAAE3C,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO,QAAQuC,EAAE,EAAEA,EAAEX,EAAE,EAAEW,EAAED,EAAEC,IAAI,GAAGD,EAAEC,GAAG,IAAIF,EAAEE,EAAE,EAAED,EAAEC,IAAIb,GAAG,OAAO/B,EAAE,eAAe,CAAC,GAAGK,EAAE,MAAM,CAAC,EAAE,EAAEqC,CAAC,CAAC,CAAC,IAAI4jF,GAAG,CAAC,WAAW1kE,GAAG,YAAY,MAAM,WAAWykE,EAAE,EAAE,SAASE,GAAGzmF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,CAAC,EAAE,EAAE,GAAGA,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,+CAA+C,EAAE,GAAGA,EAAE,QAAQ,YAAY,CAAC,IAAIC,EAAEq0E,GAAG,CAAC,OAAO,CAAC,MAAMt0E,CAAC,EAAE,QAAQJ,CAAC,CAAC,EAAE,EAAEumF,GAAG,CAAC,OAAO,CAAC,EAAElmF,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,EAAEw9E,GAAG,CAAC,OAAO,CAAC,MAAMp9E,CAAC,EAAE,QAAQJ,CAAC,CAAC,EAAE+B,EAAEwkF,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQvmF,CAAC,CAAC,EAAEgC,EAAEqyE,GAAG,CAAC,OAAO,CAAC,KAAK,EAAE,KAAKtyE,CAAC,EAAE,QAAQ/B,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BK,CAAC,EAAEL,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B+B,CAAC,EAAEC,CAAC,KAAM,QAAO2/E,GAAG,CAAC,QAAQ3hF,EAAE,MAAM,CAAC,MAAMI,EAAE,MAAM,MAAM,EAAE,MAAMA,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,IAAIomF,GAAG,CAAC,WAAWjhE,GAAG,YAAY,MAAM,WAAWghE,EAAE,EAAE,SAASE,GAAG3mF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,CAAC,EAAE,EAAE,GAAGA,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,8CAA8C,EAAE,GAAGA,EAAE,QAAQ,YAAY,CAAC,IAAIC,EAAEq0E,GAAG,CAAC,OAAO,CAAC,MAAMt0E,CAAC,EAAE,QAAQJ,CAAC,CAAC,EAAE,EAAEymF,GAAG,CAAC,OAAO,CAAC,EAAEpmF,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,EAAEw9E,GAAG,CAAC,OAAO,CAAC,MAAMp9E,CAAC,EAAE,QAAQJ,CAAC,CAAC,EAAE+B,EAAEwkF,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQvmF,CAAC,CAAC,EAAEgC,EAAEqyE,GAAG,CAAC,OAAO,CAAC,KAAK,EAAE,KAAKtyE,CAAC,EAAE,QAAQ/B,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BK,CAAC,EAAEL,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B+B,CAAC,EAAEC,CAAC,KAAM,QAAO2/E,GAAG,CAAC,QAAQ3hF,EAAE,MAAM,CAAC,MAAMI,EAAE,MAAM,MAAM,EAAE,MAAMA,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,IAAIsmF,GAAG,CAAC,WAAW/kE,GAAG,YAAY,MAAM,WAAW8kE,EAAE,EAAE,SAASE,GAAG7mF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,KAAKO,CAAC,EAAED,EAAE,GAAG,EAAE,SAAS,EAAE,OAAO2gF,GAAG,CAAC,OAAO,CAAC,MAAM,EAAE,EAAE,EAAE,QAAQ/gF,EAAE,MAAM,CAAC,IAAIK,CAAC,CAAC,CAAC,EAAE,IAAI,EAAE,EAAE,GAAG,MAAM,EAAE,EAAE,GAAG,MAAM,EAAE,QAAQqC,GAAG,CAACikB,EAAE,kBAAkB,EAAEjkB,EAAE,MAAM,uDAAuD,EAAEikB,EAAE,OAAO,IAAIjkB,EAAE,MAAM,IAAI,uDAAuD,CAAC,CAAC,EAAE,IAAIX,EAAE,CAAC,EAAEC,EAAE,EAAE,IAAIU,GAAG,CAAC,IAAIC,EAAEo+E,GAAG,CAAC,OAAO,CAAC,MAAMr+E,CAAC,EAAE,QAAQ1C,EAAE,MAAM,CAAC,IAAIK,CAAC,CAAC,CAAC,EAAE,OAAO0B,EAAE,KAAKY,CAAC,EAAEA,CAAC,CAAC,EAAEV,EAAEy7E,GAAG,CAAC,OAAO17E,EAAE,QAAQhC,EAAE,MAAM,CAAC,KAAKK,CAAC,CAAC,CAAC,EAAE,OAAO0B,EAAE,QAAQW,GAAG1C,EAAE,8BAA8B0C,CAAC,CAAC,EAAET,CAAC,CAAC,IAAI2kF,GAAG,CAAC,WAAW/kE,GAAG,YAAY,MAAM,WAAW8kE,EAAE,EAAE,SAASE,GAAG/mF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,SAAS,EAAE,cAAc,CAAC,EAAED,EAAE2wE,GAAG1wE,EAAE,KAAK,EAAE,IAAI0B,EAAE,EAAE,IAAI,CAAC,EAAE0C,IAAI,EAAE,GAAGpE,EAAE,MAAMoE,GAAG,EAAE,EAAE,EAAEzC,EAAE,EAAE,IAAI,GAAG,EAAE,EAAE,EAAEC,EAAEjC,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOqC,EAAEikB,EAAE,cAActmB,EAAE,KAAK,EAAEsC,EAAEtC,EAAE,MAAM,OAAOuC,EAAE+jB,EAAE,eAAetmB,EAAE,KAAK,EAAEwC,EAAE8jB,EAAE,cAAc5kB,CAAC,EAAEe,EAAEf,EAAE,OAAOiC,EAAE2iB,EAAE,eAAe5kB,CAAC,EAAE,EAAE4kB,EAAE,uBAAuBtmB,EAAE,MAAMwC,CAAC,EAAE,IAAI,GAAG,EAAE,KAAK,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEH,EAAE,IAAI,CAAC,IAAIgC,EAAEiiB,EAAE,WAAW,EAAEhkB,EAAEC,CAAC,EAAE,IAAI,CAACgC,EAAE0C,IAAI1C,EAAE5C,EAAEsF,EAAE,EAAE3C,EAAEgiB,EAAE,WAAWjiB,EAAE5B,EAAEkB,CAAC,EAAE,EAAEW,GAAG1C,EAAE,EAAE,CAAC,MAAM,CAAC,OAAOjC,EAAE,MAAM,EAAE+B,EAAE1B,EAAE,KAAK,EAAE,MAAM0B,EAAE,MAAM1B,EAAE,KAAK,CAAC,CAAC,IAAIymF,GAAG,CAAC,WAAWhlE,GAAG,YAAY,MAAM,WAAW+kE,EAAE,EAAME,GAAG3S,GAAG,CAACt0E,EAAE,IAAI,KAAK,IAAIA,EAAE,CAAC,CAAC,EAAEknF,GAAGlS,GAAG9yD,GAAG+kE,EAAE,EAAEE,GAAG,CAAC,WAAWjlE,GAAG,YAAY,MAAM,WAAWglE,EAAE,EAAE,SAASE,GAAGpnF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,mBAAmBO,EAAE,kBAAkB,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,iBAAiB0B,CAAC,EAAE3B,EAAE4B,EAAE3B,EAAE,IAAIgH,GAAGrH,EAAE,KAAK,IAAIqH,EAAE,MAAM,EAAE,MAAM,EAAEpF,EAAE5B,EAAE,IAAIgH,GAAGA,EAAE,KAAK,EAAE3E,EAAE1C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO2C,EAAE3C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC4C,EAAEC,EAAEC,CAAC,EAAE8vE,GAAG5wE,EAAEC,EAAES,EAAE,EAAE,MAAM,EAAE,MAAMC,EAAE,EAAE,MAAMZ,CAAC,EAAEiC,EAAEpB,EAAE,IAAIyE,GAAGrH,EAAE,eAAe,CAACqH,EAAE,MAAM,EAAE,QAAQA,CAAC,CAAC,EAAE,EAAErH,EAAE,eAAe8C,EAAE,EAAE,MAAMD,CAAC,EAAE,OAAOmB,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,CAAC,IAAImjF,GAAG,CAAC,WAAWhlE,GAAG,YAAY,MAAM,WAAW+kE,EAAE,EAAE,SAASE,GAAGtnF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,EAAE,OAAO,EAAE,aAAa,EAAE,oBAAoB0B,CAAC,EAAE,EAAE,CAAC,kBAAkBC,CAAC,EAAE5B,EAAE6B,EAAEjC,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOqC,EAAE1C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO2C,EAAE3C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO4C,EAAEb,EAAE,IAAI,GAAG/B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,EAAE6C,EAAEd,EAAE,IAAI,GAAG,EAAE,KAAK,EAAE,CAACe,EAAEkB,CAAC,EAAE6uE,GAAG5wE,EAAE5B,EAAE,MAAMqC,EAAE,EAAE,MAAM,EAAE,MAAMC,EAAE,EAAE,MAAMC,EAAEC,EAAEb,CAAC,EAAE,OAAOhC,EAAE,eAAe8C,EAAE,EAAE,MAAMkB,CAAC,CAAC,CAAC,IAAIqjF,GAAG,CAAC,WAAWjlE,GAAG,YAAY,MAAM,WAAWglE,EAAE,EAAE,SAASE,GAAGxnF,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,MAAMM,EAAE,KAAKC,EAAE,MAAM,EAAE,KAAK,CAAC,EAAEL,EAAE+B,EAAE+wE,GAAG1yE,EAAEC,EAAE,EAAE,CAAC,EAAE,OAAO,EAAE,eAAe,CAAC0B,EAAE,MAAM,EAAE,EAAEA,CAAC,CAAC,CAAC,IAAIwlF,GAAG,CAAC,WAAWllE,GAAG,YAAY,MAAM,WAAWilE,EAAE,EAAME,GAAGpS,GAAG7yD,GAAGziB,GAAG,EAAEA,CAAC,EAAE2nF,GAAG,CAAC,WAAWllE,GAAG,YAAY,MAAM,WAAWilE,EAAE,EAAE,SAASE,GAAG5nF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,CAAC,EAAE,EAAE,CAAC,aAAa,EAAE,iBAAiB,EAAE,KAAK0B,CAAC,EAAE3B,EAAE2wE,GAAG1wE,EAAE,gBAAgB,EAAE,IAAI2B,EAAE2kB,EAAE,eAAetmB,EAAE,KAAK,EAAE,CAAC4B,EAAES,CAAC,EAAEX,EAAE,CAACY,EAAEC,EAAEC,EAAEC,CAAC,EAAEzC,EAAE,MAAM2D,EAAEhE,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO,EAAE,IAAI,aAAasmB,EAAE,cAAc,CAAChkB,EAAEV,EAAES,EAAEI,CAAC,CAAC,CAAC,EAAEuE,EAAE,CAAC,GAAGpF,EAAE,EAAEW,EAAE,EAAEA,EAAE,GAAGF,EAAE,EAAEG,EAAE,EAAEA,CAAC,EAAEgC,EAAE,CAAC,GAAG5C,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGS,EAAE,EAAEA,EAAE,EAAEA,CAAC,EAAE+B,EAAE,EAAEC,EAAE2C,EAAE,GAAGxC,EAAE,GAAGF,EAAE0C,EAAE,GAAGxC,EAAE,GAAG,QAAQD,EAAE,EAAEA,EAAEjC,EAAEiC,IAAI,QAAQ0C,EAAE,EAAEA,EAAErF,EAAEqF,IAAI,CAAC,IAAIxC,EAAE,EAAEA,EAAEJ,GAAG4C,EAAE,IAAI,GAAGxC,EAAEJ,EAAE4C,EAAE,IAAIC,EAAE,KAAK,IAAI,EAAE,KAAK,MAAMzC,CAAC,CAAC,EAAEC,EAAED,EAAEyC,EAAEvC,EAAE,KAAK,IAAIpC,EAAE,EAAE,KAAK,KAAKkC,CAAC,CAAC,EAAEG,EAAEL,EAAE5C,EAAE,GAAGuF,EAAEvF,EAAE,GAAGkD,EAAEN,EAAE5C,EAAE,GAAGgD,EAAEhD,EAAE,GAAG,QAAQmD,EAAE,EAAEA,EAAEzC,EAAEyC,IAAI,CAAC,IAAIC,EAAE,EAAEA,EAAET,GAAGQ,EAAE,IAAI,GAAGC,EAAET,EAAEQ,EAAE,IAAI4C,EAAE,KAAK,IAAI,EAAE,KAAK,MAAM3C,CAAC,CAAC,EAAEqC,EAAErC,EAAE2C,EAAEC,EAAE,KAAK,IAAInF,EAAE,EAAE,KAAK,KAAKuC,CAAC,CAAC,EAAE6C,EAAGhD,EAAE8C,EAAE/F,EAAE,GAAGkG,EAAGhD,EAAE6C,EAAE/F,EAAE,GAAGmG,GAAGlD,EAAE+C,EAAEhG,EAAE,GAAGoG,GAAGlD,EAAE8C,EAAEhG,EAAE,GAAG,QAAQqG,GAAG,EAAEA,GAAGvF,EAAEuF,KAAK,CAAC,IAAI5B,GAAGzC,EAAEiE,EAAGI,IAAIE,GAAGvE,EAAEkE,EAAGG,IAAIG,GAAGxE,EAAEmE,GAAGE,IAAII,GAAGzE,EAAEoE,GAAGC,IAAIK,GAAGjC,IAAI+B,GAAG/B,IAAIgB,EAAEkB,GAAGJ,IAAIE,GAAGF,IAAId,EAAEmB,GAAGF,IAAIC,GAAGD,IAAI3D,EAAE,EAAEN,KAAKmE,EAAE,CAAC,CAAC,CAAC,OAAO5I,EAAE,eAAe,CAAC2C,EAAEV,EAAES,EAAEI,CAAC,EAAE,UAAU,CAAC,CAAC,CAAC,IAAI6kF,GAAG,CAAC,WAAW/kE,GAAG,YAAY,MAAM,WAAW8kE,EAAE,EAAE,SAASE,GAAG9nF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,aAAa,CAAC,EAAED,EAAE2wE,GAAG,CAAC,EAAE1wE,CAAC,EAAE,oBAAoB,EAAE,IAAI0B,EAAE4kB,EAAE,eAAetmB,EAAE,KAAK,EAAE,CAAC2B,EAAEC,EAAES,EAAEC,CAAC,EAAEtC,EAAE,MAAM,CAAC,CAACuC,EAAEC,CAAC,EAAE,EAAE,MAAMC,EAAE,IAAI,aAAad,EAAEC,EAAES,EAAEC,CAAC,EAAEqB,EAAE,CAAC,GAAGpB,EAAE,EAAEX,EAAE,EAAEA,EAAE,GAAGY,EAAE,EAAEH,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC,GAAGE,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGC,EAAE,EAAEA,EAAE,EAAEA,CAAC,EAAEwE,EAAErD,EAAE,GAAG,EAAE,GAAGa,EAAEb,EAAE,GAAG,EAAE,GAAGS,EAAEzE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO0E,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE3C,EAAE2C,IAAI,CAAC,IAAIC,EAAED,EAAE5C,EAAE,GAAG,QAAQuF,EAAE,EAAEA,EAAE1E,EAAE0E,IAAI,CAAC,IAAIxC,EAAEwC,EAAED,EAAEE,EAAE,KAAK,MAAMzC,CAAC,EAAEC,EAAE,KAAK,IAAI,KAAK,KAAKD,CAAC,EAAE7C,EAAE,CAAC,EAAE+C,EAAEJ,EAAE2C,EAAExF,EAAE,GAAGkD,EAAEL,EAAEG,EAAEhD,EAAE,GAAGmD,EAAEJ,EAAEyC,EAAEpC,EAAE,EAAED,EAAE,QAAQE,EAAE,EAAEA,EAAEvC,EAAEuC,IAAI,CAAC,IAAI2C,EAAE3C,EAAEP,EAAE4C,EAAE,KAAK,MAAMM,CAAC,EAAEC,EAAE,KAAK,IAAI,KAAK,KAAKD,CAAC,EAAErF,EAAE,CAAC,EAAEuF,EAAGF,EAAEN,EAAES,EAAG,EAAED,EAAGE,GAAGnD,EAAEyC,EAAE1F,EAAE,GAAGqG,GAAGpD,EAAEgD,EAAEjG,EAAE,GAAGsG,GAAGpD,EAAEwC,EAAE1F,EAAE,GAAG0E,GAAGxB,EAAE+C,EAAEjG,EAAE,GAAGwG,GAAGpD,EAAE+C,EAAGM,GAAGrD,EAAE8C,EAAGQ,GAAGvD,EAAEgD,EAAGQ,GAAGxD,EAAE+C,EAAG,QAAQU,GAAG,EAAEA,GAAGhG,EAAEgG,KAAK,CAAC,IAAIC,GAAGnE,EAAEC,KAAK5B,EAAEqF,GAAGQ,KAAKC,GAAGL,GAAGzF,EAAEsF,GAAGO,KAAKC,GAAGJ,GAAG1F,EAAEuF,GAAGM,KAAKC,GAAGH,GAAG3F,EAAE2D,GAAGkC,KAAKC,GAAGF,EAAE,CAAC,CAAC,CAAC,CAAC,OAAO1I,EAAE,eAAe,CAACgC,EAAEU,EAAET,EAAEU,CAAC,EAAE,UAAUG,CAAC,CAAC,CAAC,IAAI+kF,GAAG,CAAC,WAAWhlE,GAAG,YAAY,MAAM,WAAW+kE,EAAE,EAAE,SAASE,GAAGhoF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,CAAC,EAAE,EAAE,CAAC,aAAa,EAAE,iBAAiB,EAAE,KAAK0B,CAAC,EAAE3B,EAAE2wE,GAAG1wE,EAAE,uBAAuB,EAAE,IAAI2B,EAAE2kB,EAAE,eAAetmB,EAAE,KAAK,EAAE,CAAC4B,EAAES,CAAC,EAAEX,EAAE,CAACY,EAAEC,EAAEC,EAAEC,CAAC,EAAEzC,EAAE,MAAM2D,EAAEhE,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO,EAAE,IAAI,aAAasC,EAAEV,EAAES,EAAEI,CAAC,EAAEuE,EAAE,CAAC,GAAGpF,EAAE,EAAEW,EAAE,EAAEA,EAAE,GAAGF,EAAE,EAAEG,EAAE,EAAEA,CAAC,EAAEgC,EAAE,CAAC,GAAG5C,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGS,EAAE,EAAEA,EAAE,EAAEA,CAAC,EAAE+B,EAAE4C,EAAE,GAAGxC,EAAE,GAAGH,EAAE2C,EAAE,GAAGxC,EAAE,GAAGF,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAEjC,EAAEiC,IAAI,CAAC,IAAI0C,EAAE1C,EAAE5C,EAAE,GAAG,QAAQ8C,EAAE,EAAEA,EAAE7C,EAAE6C,IAAI,CAAC,IAAIyC,EAAE,EAAE9C,GAAGK,EAAE,IAAIL,EAAEK,EAAEC,EAAE,KAAK,IAAInC,EAAE,EAAE,EAAE,KAAK,MAAM2E,CAAC,EAAE,KAAK,MAAMA,CAAC,CAAC,EAAE,IAAIxC,EAAE,KAAK,IAAI,EAAEA,CAAC,GAAG,IAAIC,EAAEsC,EAAEvC,EAAE/C,EAAE,GAAG,QAAQiD,EAAE,EAAEA,EAAEvC,EAAEuC,IAAI,CAAC,IAAIC,EAAE,EAAER,GAAGO,EAAE,IAAIP,EAAEO,EAAEE,EAAE,KAAK,IAAItC,EAAE,EAAE,EAAE,KAAK,MAAMqC,CAAC,EAAE,KAAK,MAAMA,CAAC,CAAC,EAAE,IAAIC,EAAE,KAAK,IAAI,EAAEA,CAAC,GAAG,IAAIC,EAAEJ,EAAEG,EAAEnD,EAAE,GAAG,QAAQ+F,EAAE,EAAEA,EAAEjF,EAAEiF,IAAI,CAAC,IAAIN,EAAEzD,EAAEoB,EAAE2C,GAAG,EAAEpD,KAAK8C,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOzH,EAAE,eAAe,CAAC2C,EAAEV,EAAES,EAAEI,CAAC,EAAEzC,EAAE,MAAM,CAAC,CAAC,CAAC,IAAI0nF,GAAG,CAAC,WAAWrlE,GAAG,YAAY,MAAM,WAAWolE,EAAE,EAAE,SAASE,GAAGloF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,aAAa,CAAC,EAAED,EAAE2wE,GAAG,CAAC,EAAE1wE,CAAC,EAAE,2BAA2B,EAAE,IAAI0B,EAAE4kB,EAAE,eAAetmB,EAAE,KAAK,EAAE2B,EAAE2kB,EAAE,eAAe,EAAE,KAAK,EAAE,CAAC1kB,EAAES,EAAEC,EAAEC,CAAC,EAAEvC,EAAE,MAAM,CAAC,CAACwC,EAAEC,CAAC,EAAE,EAAE,MAAMkB,EAAE,IAAI,aAAa/B,EAAES,EAAEC,EAAEC,CAAC,EAAE,EAAE5C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOqH,EAAE,CAAC,GAAGxE,EAAE,EAAEH,EAAE,EAAEA,EAAE,GAAGI,EAAE,EAAEH,EAAE,EAAEA,CAAC,EAAEkC,EAAE,CAAC,GAAGhC,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGC,EAAE,EAAEA,EAAE,EAAEA,CAAC,EAAE2B,EAAE4C,EAAE,GAAGxC,EAAE,GAAGH,EAAE2C,EAAE,GAAGxC,EAAE,GAAGF,EAAE,EAAEF,EAAEG,EAAE,EAAEF,EAAE4C,EAAE,KAAK,KAAK3C,CAAC,EAAE,EAAE,EAAEG,EAAE,KAAK,KAAKF,CAAC,EAAE,EAAE,EAAE,QAAQ2C,EAAE,EAAEA,EAAEtF,EAAEsF,IAAI,CAAC,IAAIxC,EAAEwC,EAAExF,EAAE,GAAG,QAAQiD,EAAE,EAAEA,EAAEtC,EAAEsC,IAAI,CAAC,IAAIC,EAAEF,EAAEC,EAAEjD,EAAE,GAAGmD,EAAE,KAAK,MAAMF,EAAEL,CAAC,EAAEQ,EAAE,KAAK,MAAMD,EAAEoC,EAAE,CAAC,EAAE,QAAQlC,EAAE,EAAEA,EAAEzC,EAAEyC,IAAI,CAAC,IAAI2C,EAAE9C,EAAEG,EAAErD,EAAE,GAAG0F,EAAE,KAAK,MAAMrC,EAAER,CAAC,EAAEoD,EAAE,KAAK,MAAMP,EAAE3C,EAAE,CAAC,EAAE,QAAQmD,EAAG,EAAEA,EAAGrF,EAAEqF,IAAK,CAAC,IAAIC,EAAG,EAAE,QAAQC,GAAG,EAAEA,GAAGb,EAAEa,KAAK,CAAC,IAAIC,GAAGD,GAAGhD,EAAE,GAAGiD,GAAG,GAAGA,IAAIvF,EAAE,SAAS,IAAIwF,GAAGtD,EAAEqD,GAAGpG,EAAE,GAAGyE,GAAG2B,GAAG3D,EAAE8D,GAAG,KAAK,IAAI7F,EAAE,EAAE,EAAE,KAAK,MAAM+D,EAAE,EAAE,KAAK,MAAMA,EAAE,CAAC,EAAE,GAAGzB,IAAIuD,GAAG,QAAQC,GAAG,EAAEA,GAAG1D,EAAE0D,KAAK,CAAC,IAAIC,GAAGD,GAAGR,EAAE,GAAGS,GAAG,GAAGA,IAAI3F,EAAE,SAAS,IAAI4F,GAAGL,GAAGI,GAAGzG,EAAE,GAAG2G,GAAGF,GAAG/D,EAAEkE,GAAG,KAAK,IAAIjG,EAAE,EAAE,EAAE,KAAK,MAAMgG,EAAE,EAAE,KAAK,MAAMA,EAAE,CAAC,EAAEvD,IAAIwD,KAAKV,GAAI,EAAEQ,GAAGT,GAAI,CAAC,CAACjE,EAAE+D,EAAEE,GAAIC,CAAE,CAAC,CAAC,CAAC,CAAC,OAAOlI,EAAE,eAAeK,EAAE,MAAMA,EAAE,MAAM2D,CAAC,CAAC,CAAC,IAAIikF,GAAG,CAAC,WAAWtlE,GAAG,YAAY,MAAM,WAAWqlE,EAAE,EAAE,SAASE,GAAGpoF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE2wE,GAAG1wE,EAAE,SAAS,EAAE,IAAI,EAAEA,EAAE,MAAM,OAAO0B,EAAE4kB,EAAE,eAAe,EAAEtmB,EAAE,KAAK,EAAE,GAAG,IAAI,EAAE,OAAOm0E,GAAG,CAAC,OAAO,CAAC,EAAEn0E,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,IAAIgC,EAAE,IAAImnB,GAAG9oB,EAAE,MAAMA,EAAE,KAAK,EAAE4B,EAAEjC,EAAE,WAAWK,CAAC,EAAE,QAAQqC,EAAE,EAAEA,EAAEV,EAAE,KAAKU,IAAI,CAAC,IAAIC,EAAEX,EAAE,WAAWU,CAAC,EAAEE,EAAED,EAAE,MAAM,EAAEZ,EAAE,QAAQc,GAAGD,EAAEC,GAAGxC,EAAE,MAAMwC,GAAG,EAAED,EAAEC,EAAE,EAAEb,EAAE,IAAIC,EAAE,IAAI,GAAGW,CAAC,EAAE,GAAGD,CAAC,CAAC,CAAC,OAAO3C,EAAE,eAAegC,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAImmF,GAAG,CAAC,WAAWplE,GAAG,YAAY,MAAM,WAAWmlE,EAAE,EAAME,GAAG,CAAC,WAAW1iE,GAAG,YAAY,MAAM,WAAW,CAAC,CAAC,OAAO5lB,EAAE,MAAM,EAAE,QAAQE,CAAC,IAAI,CAAC,GAAG,CAAC,MAAMI,CAAC,EAAEN,EAAE,CAAC,QAAQO,EAAE,UAAU,EAAE,OAAO,CAAC,EAAE,EAAE0B,EAAE/B,EAAEgC,EAAE2kB,EAAE,uBAAuBvmB,EAAE,MAAMumB,EAAE,cAAcvmB,EAAE,KAAK,CAAC,EAAE,CAAC6B,EAAES,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAM,CAACyC,EAAEC,CAAC,EAAEq3C,EAAE,eAAe,EAAEz3C,EAAEC,CAAC,EAAEqB,EAAE,IAAI,EAAE,KAAK,IAAI3D,CAAC,EAAEgH,EAAE,KAAK,IAAIhH,CAAC,EAAEwE,EAAE9C,EAAE,KAAK,IAAI3B,EAAE,MAAM,EAAE,OAAO,QAAQsE,EAAE,EAAEA,EAAEzC,EAAEyC,IAAI,CAAC,IAAIC,EAAED,EAAE/B,EAAED,EAAEE,EAAE,QAAQgC,EAAE,EAAEA,EAAElC,EAAEkC,IAAI,CAAC,IAAI0C,EAAE1C,GAAGjC,EAAEC,GAAG,QAAQkC,EAAE,EAAEA,EAAEnC,EAAEmC,IAAI,CAAC,IAAIyC,EAAEzC,EAAElC,EAAE,QAAQmC,EAAE,EAAEA,EAAEnC,EAAEmC,IAAI,CAAC,IAAIC,EAAE,CAAC/C,EAAE2C,EAAEE,EAAEC,CAAC,EAAEE,EAAED,EAAE,GAAGE,EAAEF,EAAE,GAAGG,GAAGF,EAAEpC,GAAGwE,GAAGnC,EAAEpC,GAAG,EAAEsC,GAAGH,EAAEpC,GAAG,GAAGqC,EAAEpC,GAAGuE,EAAElC,EAAE,KAAK,MAAMA,EAAEtC,CAAC,EAAEuC,EAAE,KAAK,MAAMA,EAAEtC,CAAC,EAAE,IAAIiF,EAAE,EAAE,GAAG,OAAO,GAAG,WAAWhD,IAAI,EAAEgD,EAAE/D,EAAE+D,EAAE,EAAEhD,IAAII,GAAG,GAAGA,EAAExC,GAAGyC,GAAG,GAAGA,EAAE1C,EAAE,CAAC,IAAIsF,EAAE5C,GAAGzC,EAAEC,GAAGqF,EAAG9C,EAAEvC,EAAEsF,EAAGvD,EAAEqD,EAAEC,EAAGlD,EAAEgD,EAAElD,EAAEqD,EAAG,CAAC,IAAIT,EAAE9C,EAAE2C,EAAEC,EAAExC,EAAE/C,EAAEyF,GAAGM,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,OAAOhG,EAAE,MAAMC,EAAE5B,EAAE,MAAMA,EAAE,KAAK,EAAE,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,EAAMioF,GAAGjT,GAAGpyD,GAAGljB,GAAG,CAAC,IAAI,EAAE,KAAK,MAAMA,CAAC,EAAE,OAAOA,EAAE,EAAE,GAAG,KAAK,MAAMA,CAAC,EAAEA,EAAE,EAAE,GAAG,KAAK,KAAKA,CAAC,EAAE,EAAE,IAAI,EAAE,EAAE,EAAE,CAAC,CAAC,EAAEwoF,GAAG,CAAC,WAAWtlE,GAAG,YAAY,MAAM,WAAWqlE,EAAE,EAAE,SAASE,GAAGzoF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,QAAQO,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE,CAAC,UAAU2B,EAAE,WAAWC,EAAE,UAAUC,EAAE,QAAQS,EAAE,WAAWC,CAAC,EAAEw3C,EAAE,gBAAgB,EAAE95C,EAAE,CAAC,EAAEuC,EAAE,GAAGC,EAAE7C,EAAE,WAAWK,CAAC,EAAEyC,EAAE9C,EAAE,WAAW,CAAC,EAAEgE,EAAEgvE,GAAGnwE,EAAEC,EAAE,EAAEH,EAAEV,EAAED,EAAED,EAAEW,EAAE,EAAEE,CAAC,EAAE,OAAO5C,EAAE,eAAe,EAAEgE,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIwkF,GAAG,CAAC,WAAWtlE,GAAG,YAAY,MAAM,WAAWqlE,EAAE,EAAE,SAASE,GAAG3oF,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAEI,EAAEN,EAAE,OAAOO,EAAE,EAAE,KAAKL,EAAEI,GAAGC,EAAE,KAAK,OAAOL,EAAEI,GAAG,CAAC,EAAEN,EAAEO,GAAG,EAAEL,EAAEK,EAAE,EAAED,EAAEC,EAAE,OAAOD,CAAC,CAAC,SAASsoF,GAAG5oF,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAEI,EAAEN,EAAE,OAAOO,EAAE,EAAE,KAAKL,EAAEI,GAAGC,EAAE,KAAK,OAAOL,EAAEI,GAAG,CAAC,EAAEN,EAAEO,IAAI,EAAEL,EAAEK,EAAE,EAAED,EAAEC,EAAE,OAAOD,CAAC,CAAC,SAASuoF,GAAG7oF,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEsmB,EAAE,kBAAkB,QAAQ3mB,EAAEK,CAAC,EAAE,QAAQ0B,EAAE,EAAEA,EAAE/B,EAAE,EAAE+B,EAAE,CAAC,IAAIC,EAAElC,EAAE,MAAMiC,EAAE3B,GAAG2B,EAAE,GAAG3B,CAAC,EAAE6B,EAAEF,EAAE1B,EAAE,QAAQqC,EAAE,EAAEA,EAAErC,EAAE,EAAEqC,EAAE,EAAET,EAAES,GAAG,IAAI,OAAO+lF,GAAGzmF,EAAE,EAAEU,EAAET,EAAE,EAAEymF,GAAG1mF,EAAE,EAAEU,EAAET,EAAE,CAAC,CAAC,OAAO,CAAC,CAAC,SAAS2mF,GAAG9oF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,eAAeO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE2B,EAAE/B,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO2B,EAAEhC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOiC,EAAE0mF,GAAG5mF,EAAEC,EAAE3B,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,CAAC,EAAE,OAAOL,EAAE,eAAe,EAAE,MAAM,QAAQiC,CAAC,CAAC,CAAC,IAAI4mF,GAAG,CAAC,WAAW1lE,GAAG,YAAY,MAAM,WAAWylE,EAAE,EAAE,SAASE,GAAGhpF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,UAAUM,EAAE,EAAEC,EAAE,EAAE,CAAC,EAAE,EAAE0wE,GAAG,CAAC3wE,EAAEC,EAAE,CAAC,EAAE,QAAQ,EAAE,IAAI,EAAED,EAAE,MAAM,OAAO2B,EAAE/B,EAAE,KAAK,IAAII,EAAE,MAAM,EAAE,OAAO4B,EAAEhC,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO4B,EAAEjC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO0C,EAAE8nB,GAAGnqB,EAAE,MAAM,EAAE,KAAK,EAAEsC,EAAEgkB,EAAE,oBAAoBA,EAAE,cAActmB,EAAE,KAAK,EAAEqC,CAAC,EAAEE,EAAE,EAAEC,EAAE,IAAI,GAAG,EAAE,GAAGxC,EAAE,MAAM,SAAS,EAAE,EAAEsmB,EAAE,cAActmB,EAAE,MAAM,MAAM,CAAC,CAAC,EAAE,QAAQyC,EAAE,EAAEA,EAAEf,EAAE,OAAOe,IAAI,QAAQkB,EAAE,EAAEA,EAAEnB,EAAEmB,IAAIjC,EAAEe,KAAK,EAAEH,EAAEC,KAAKZ,EAAEc,GAAGH,EAAEC,KAAKX,EAAEa,GAAG,OAAO9C,EAAE,eAAeK,EAAE,MAAMqC,EAAEC,CAAC,CAAC,CAAC,IAAIomF,GAAG,CAAC,WAAW3lE,GAAG,YAAY,MAAM,WAAW0lE,EAAE,EAAME,GAAG7uC,EAAE,gBAAgB8uC,GAAG9uC,EAAE,WAAW+uC,GAAG9T,GAAG/xD,GAAGvjB,GAAGA,GAAG,EAAEmpF,GAAGnpF,EAAEkpF,IAAI,KAAK,IAAIlpF,CAAC,EAAE,EAAE,EAAEqpF,GAAG,CAAC,WAAW9lE,GAAG,YAAY,MAAM,WAAW6lE,EAAE,EAAME,GAAGhU,GAAG3xD,GAAG3jB,GAAGA,EAAE,EAAE,GAAGA,EAAE,EAAE,EAAE,CAAC,EAAEupF,GAAG,CAAC,WAAW5lE,GAAG,YAAY,MAAM,WAAW2lE,EAAE,EAAME,GAAGlU,GAAG7xD,GAAGzjB,GAAG,KAAK,IAAIA,CAAC,CAAC,EAAEypF,GAAG,CAAC,WAAWhmE,GAAG,YAAY,MAAM,WAAW+lE,EAAE,EAAME,GAAGpU,GAAG5xD,GAAG1jB,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAE2pF,GAAG,CAAC,WAAWjmE,GAAG,YAAY,MAAM,WAAWgmE,EAAE,EAAME,GAAG,sBAAsBC,GAAG,KAAK,IAAID,EAAE,EAAE,EAAEE,GAAGxU,GAAGzxD,GAAG7jB,GAAG,CAAC,IAAI,EAAEA,EAAE,CAAC6pF,GAAG3pF,EAAEF,EAAE6pF,GAAGvpF,EAAE,KAAK,IAAIN,CAAC,EAAEO,EAAE,OAAOL,EAAEK,EAAED,EAAE,EAAEC,EAAEP,EAAEO,EAAE,KAAK,IAAI,EAAED,CAAC,EAAEC,CAAC,CAAC,EAAEwpF,GAAG,CAAC,WAAWlmE,GAAG,YAAY,MAAM,WAAWimE,EAAE,EAAE,SAASE,GAAGhqF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,SAAS,CAAC,EAAED,EAAE2wE,GAAG,CAAC1wE,CAAC,EAAE,gBAAgB,EAAE,IAAI0B,EAAE4kB,EAAE,cAAc,CAAC,EAAE3kB,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAEA,EAAE,KAAK,GAAG,CAAC,EAAE,QAAQ4C,EAAE,EAAE,EAAE,OAAOA,EAAEvE,EAAE,MAAM,OAAO,EAAEuE,EAAE5C,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,EAAE,IAAIC,EAAE6kF,GAAG,WAAW,CAAC,OAAO,CAAC,EAAEzmF,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,SAASgC,EAAE,cAAc,CAAC,CAAC,CAAC,EAAEU,EAAEy3C,EAAE,YAAYl4C,EAAE,MAAM,EAAEF,EAAE,EAAE,EAAEY,EAAEw3C,EAAE,YAAYz3C,EAAE,OAAO,EAAE,OAAO,EAAE,EAAEE,EAAEu3C,EAAE,oBAAoBl4C,EAAE,MAAM,EAAEF,EAAE,EAAE,EAAE,EAAEk4E,GAAG,CAAC,OAAO,CAAC,EAAEh4E,CAAC,EAAE,QAAQjC,EAAE,MAAM,CAAC,MAAM0C,CAAC,CAAC,CAAC,EAAEmC,EAAEwyE,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQr3E,EAAE,MAAM,CAAC,KAAK2C,CAAC,CAAC,CAAC,EAAEgC,EAAEs1E,GAAG,CAAC,OAAO,CAAC,EAAEp1E,CAAC,EAAE,QAAQ7E,EAAE,MAAM,CAAC,MAAM4C,CAAC,CAAC,CAAC,EAAE,OAAO5C,EAAE,8BAA8BiC,CAAC,EAAEjC,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B6E,CAAC,EAAEF,CAAC,CAAC,IAAIolF,GAAG,CAAC,WAAWjmE,GAAG,YAAY,MAAM,WAAWgmE,EAAE,EAAE,SAASE,GAAGlqF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,QAAQM,EAAE,OAAOC,EAAE,WAAW,EAAE,aAAa,CAAC,EAAE,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACznsG,EAAE,OAAO,EAAE,GAAGD,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACjDA,EAAE,OAAO,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACjDA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACjD,EAAE,OAAO,EAAE,IAAI0B,EAAE/B,EAAE,KAAK,IAAII,EAAE,MAAM,EAAE,OAAO4B,EAAEhC,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO4B,EAAEjC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO0C,EAAE1C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,GAAG,CAAC2C,EAAEC,EAAEC,EAAEC,EAAEkB,CAAC,EAAEovE,GAAGrxE,EAAE3B,EAAE,MAAMA,EAAE,MAAM4B,EAAE3B,EAAE,MAAM4B,EAAES,CAAC,EAAE,MAAM,CAAC1C,EAAE,eAAe4C,EAAExC,EAAE,MAAMuC,CAAC,EAAE3C,EAAE,eAAe,CAAC4C,EAAE,EAAE,EAAEvC,EAAE,MAAMwC,CAAC,EAAE7C,EAAE,eAAe,CAAC8C,EAAE,MAAM,EAAE,OAAO,IAAI,WAAWA,EAAE,IAAI,GAAG,OAAO,CAAC,CAAC,CAAC,CAAC,EAAE9C,EAAE,eAAe,CAACgE,EAAE,MAAM,EAAE5D,EAAE,MAAM,IAAI,WAAW4D,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIimF,GAAG,CAAC,WAAWhmE,GAAG,YAAY,MAAM,WAAW+lE,EAAE,EAAE,SAASE,GAAGpqF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,aAAaM,EAAE,WAAWC,EAAE,SAAS,CAAC,EAAE,EAAE,GAAGD,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACnjBA,EAAE,OAAO,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACjDA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,sDAAsD,EAAE,OAAO,EAAE,IAAI,EAAE,MAAM,KAAKL,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,MAAM,EAAE0B,EAAE/B,EAAE,KAAK,IAAII,EAAE,MAAM,EAAE,OAAO4B,EAAE,MAAM,KAAKhC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,EAAE,CAACiC,EAAES,EAAEC,CAAC,EAAE0wE,GAAGtxE,EAAE3B,EAAE,MAAMA,EAAE,MAAM,EAAE4B,CAAC,EAAE,MAAM,CAAChC,EAAE,eAAe0C,EAAEtC,EAAE,MAAM6B,CAAC,EAAEjC,EAAE,eAAe,CAAC2C,EAAE,MAAM,EAAE,EAAE,MAAM,IAAI,WAAWA,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIwnF,GAAG,CAAC,WAAWjmE,GAAG,YAAY,MAAM,WAAWgmE,EAAE,EAAE,SAASE,GAAGtqF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,KAAKM,EAAE,QAAQC,EAAE,WAAW,CAAC,EAAE,EAAE,GAAGD,EAAE,MAAM,OAAO,EAAE,MAAM,IAAI,MAAM,2DAA2D,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,YAC9mBA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,YACjD,EAAE,OAAO,EAAE,GAAGA,EAAE,MAAM,KAAK,EAAE,MAAM,GAAG,MAAM,IAAI,MAAM,+CAA+C,EAAE,IAAI,EAAEL,EAAE,KAAK,IAAII,EAAE,MAAM,EAAE,OAAO2B,EAAE/B,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO2B,EAAEhC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAACiC,EAAES,CAAC,EAAE4wE,GAAG,EAAElzE,EAAE,MAAMA,EAAE,MAAM2B,EAAEC,EAAE,EAAE,EAAE,OAAOhC,EAAE,eAAe0C,EAAEtC,EAAE,MAAM6B,CAAC,CAAC,CAAC,IAAIooF,GAAG,CAAC,WAAWlmE,GAAG,YAAY,MAAM,WAAWimE,EAAE,EAAE,SAASE,GAAGxqF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,KAAKM,EAAE,QAAQC,EAAE,WAAW,CAAC,EAAE,EAAE,GAAGD,EAAE,MAAM,OAAO,EAAE,MAAM,IAAI,MAAM,2DAA2D,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,WACvhBA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,WACjD,EAAE,OAAO,EAAE,GAAGA,EAAE,MAAM,KAAK,EAAE,MAAM,GAAG,MAAM,IAAI,MAAM,+CAA+C,EAAE,IAAI,EAAEL,EAAE,KAAK,IAAII,EAAE,MAAM,EAAE,OAAO2B,EAAE/B,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO2B,EAAEhC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAACiC,EAAES,CAAC,EAAE4wE,GAAG,EAAElzE,EAAE,MAAMA,EAAE,MAAM2B,EAAEC,CAAC,EAAE,OAAOhC,EAAE,eAAe0C,EAAEtC,EAAE,MAAM6B,CAAC,CAAC,CAAC,IAAIsoF,GAAG,CAAC,WAAWnmE,GAAG,YAAY,MAAM,WAAWkmE,EAAE,EAAE,SAASE,GAAG1qF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,cAAcO,EAAE,aAAa,EAAE,aAAa,CAAC,EAAE,EAAE,CAAC,YAAY0B,CAAC,EAAE3B,EAAE,CAAC,UAAU4B,EAAE,WAAWC,EAAE,UAAUS,EAAE,QAAQC,EAAE,WAAWC,CAAC,EAAEu3C,EAAE,gBAAgB,EAAE95C,EAAE0B,CAAC,EAAEc,EAAE,GAAGC,EAAE9C,EAAE,WAAWK,CAAC,EAAE2D,EAAE,OAAO,EAAE,MAAM,CAAC,IAAI,OAAO,CAAC,IAAI,EAAEhE,EAAE,WAAW,CAAC,EAAEqH,EAAE,QAAQrH,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,EAAE,EAAEgE,EAAEgvE,GAAGlwE,EAAE,EAAEf,EAAEa,EAAEF,EAAET,EAAED,EAAEW,EAAE0E,EAAExE,CAAC,EAAE,KAAK,CAAC,IAAI,UAAU,CAAC,IAAI,EAAE7C,EAAE,WAAW,CAAC,EAAEqH,EAAErH,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,GAAGgE,EAAEgvE,GAAGlwE,EAAE,EAAEf,EAAEa,EAAEF,EAAET,EAAED,EAAEW,EAAE0E,EAAExE,CAAC,EAAE,KAAK,CAAC,IAAI,QAAQ,CAAC,IAAI,EAAE7C,EAAE,WAAW,CAAC,EAAEqH,EAAErH,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,GAAGgE,EAAEgvE,GAAGlwE,EAAE,EAAEf,EAAEa,EAAEF,EAAET,EAAED,EAAEW,EAAE0E,EAAExE,CAAC,EAAE,KAAK,CAAC,IAAI,SAAS,CAAC,IAAI,EAAE7C,EAAE,WAAW,CAAC,EAAEqH,EAAEsf,EAAE,aAAa3mB,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,EAAE,EAAEgE,EAAEgvE,GAAGlwE,EAAE,EAAEf,EAAEa,EAAEF,EAAET,EAAED,EAAEW,EAAE0E,EAAExE,CAAC,EAAE,KAAK,CAAC,QAAQ,MAAM,IAAI,MAAM,oBAAoB,EAAE,OAAO,CAAC,CAAC,OAAO7C,EAAE,eAAe+B,EAAEiC,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIymF,GAAG,CAAC,WAAWpmE,GAAG,YAAY,MAAM,WAAWmmE,EAAE,EAAE,SAASE,GAAG5qF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,gBAAgB,EAAE,KAAK,CAAC,EAAED,EAAE2B,EAAE4kB,EAAE,eAAe,EAAEtmB,EAAE,KAAK,EAAE,GAAG2B,EAAEm4C,EAAE,iBAAiB95C,EAAE,EAAE0B,CAAC,EAAEE,EAAE,IAAI,MAAM5B,EAAE,MAAM,MAAM,EAAE,KAAK,CAAC,EAAEqC,EAAErC,EAAE,MAAM,MAAM,EAAE,OAAO2B,EAAE,IAAIW,GAAG,CAAC,IAAIC,EAAE,CAAC,GAAGF,CAAC,EAAEE,EAAEb,GAAGY,EAAE,IAAIE,EAAE21E,GAAG,CAAC,OAAO,CAAC,EAAEn4E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAMiC,EAAE,KAAKW,CAAC,CAAC,CAAC,EAAE,OAAOX,EAAEF,IAAIY,EAAEE,CAAC,CAAC,CAAC,CAAC,IAAI8nF,GAAG,CAAC,WAAW5mE,GAAG,YAAY,MAAM,WAAW2mE,EAAE,EAAME,GAAG,CAAC,WAAWrmE,GAAG,YAAY,MAAM,WAAW,CAAC,CAAC,OAAOzkB,EAAE,QAAQ,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEE,CAAC,EAAEF,EAAEM,EAAE,EAAE2wE,GAAG/wE,EAAE,QAAQ,EAAE,IAAIK,EAAED,EAAE,KAAK,IAAIJ,EAAE,MAAM,EAAE,OAAO,EAAE,IAAI,aAAaK,EAAE,MAAM,EAAE,QAAQ0B,EAAE,EAAEA,EAAE1B,EAAE,OAAO,EAAE0B,EAAE,CAAC,IAAIC,EAAE3B,EAAE0B,GAAG,EAAEA,GAAGC,EAAEA,CAAC,CAAC,MAAM,CAAC,OAAO5B,EAAE,MAAM,EAAEJ,EAAE,MAAMA,EAAE,KAAK,EAAE,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,EAAM6qF,GAAGzV,GAAG5vD,GAAG,CAAC1lB,EAAE,IAAI,CAAC,IAAIE,EAAE,EAAE,OAAO,MAAMF,CAAC,EAAE,IAAIA,EAAE,EAAE,EAAEE,EAAE,KAAK,CAAC,EAAE8qF,GAAG,CAAC,WAAWtlE,GAAG,YAAY,MAAM,WAAWqlE,EAAE,EAAE,SAASE,GAAGjrF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,QAAQ0B,EAAE,UAAUC,EAAE,QAAQC,EAAE,aAAaS,EAAE,YAAYC,EAAE,eAAeC,CAAC,EAAExC,EAAE2wE,GAAG1wE,EAAE,cAAc,EAAE,GAAG,CAAC,iBAAiBwC,EAAE,WAAWC,EAAE,WAAWkB,EAAE,UAAU,EAAE,cAAcqD,EAAE,MAAMxC,EAAE,IAAIJ,EAAE,QAAQC,CAAC,EAAEuxB,GAAG,UAAU51B,EAAE,MAAM,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAEC,EAAEC,CAAC,EAAE+B,EAAE,GAAGX,EAAEW,EAAEs1E,GAAG,CAAC,OAAO,CAAC,EAAE55E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM8C,CAAC,CAAC,CAAC,UAAU,GAAGuE,EAAE,CAACsf,EAAE,OAAOtmB,EAAE,MAAM,QAAQ,EAAE,IAAI,yCAAyCA,EAAE,MAAM,QAAQ,EAAE,IAAIuE,EAAEqxB,GAAG,gBAAgBpxB,EAAEJ,EAAEC,CAAC,EAAE4C,EAAEkxE,GAAG,CAAC,OAAO,CAAC,EAAEn4E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM6E,EAAE,KAAKD,CAAC,CAAC,CAAC,EAAED,EAAEs1E,GAAG,CAAC,OAAO,CAAC,EAAE3yE,CAAC,EAAE,QAAQtH,EAAE,MAAM,CAAC,MAAM8C,CAAC,CAAC,CAAC,EAAE9C,EAAE,8BAA8BsH,CAAC,CAAC,KAAK,CAAC,IAAI1C,EAAE5E,EAAE,WAAWK,CAAC,EAAEiH,EAAEmsE,GAAG5wE,EAAE+B,EAAEF,EAAEG,CAAC,EAAEF,EAAE3E,EAAE,eAAe8C,EAAEwE,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,OAAO3C,CAAC,CAAC,IAAIqmF,GAAG,CAAC,WAAWxmE,GAAG,YAAY,MAAM,WAAWumE,EAAE,EAAE,SAASE,GAAGnrF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,UAAUO,EAAE,YAAY,EAAE,QAAQ,EAAE,SAAS0B,EAAE,SAASC,EAAE,uBAAuBC,CAAC,EAAE7B,EAAE,CAAC,KAAKsC,EAAE,WAAWC,CAAC,EAAE,EAAEC,EAAE5C,EAAE,KAAK,IAAI0C,EAAE,MAAM,EAAE,OAAOG,EAAE7C,EAAE,KAAK,IAAI2C,EAAE,MAAM,EAAE,OAAO,CAACG,EAAEkB,CAAC,EAAE0vE,GAAG9wE,EAAEC,EAAExC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,CAAC,EAAE,MAAM,CAACjC,EAAE,eAAe,CAAC8C,EAAE,MAAM,EAAE,SAASA,CAAC,EAAE9C,EAAE,eAAe2C,EAAE,MAAM,QAAQqB,CAAC,CAAC,CAAC,CAAC,IAAIknF,GAAG,CAAC,WAAWzmE,GAAG,YAAY,MAAM,WAAWwmE,EAAE,EAAE,SAASE,GAAGrrF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,UAAUO,CAAC,EAAED,EAAE,CAAC,MAAM,EAAE,UAAU,CAAC,EAAE,EAAE,GAAG,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,kCAAkC,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,sCAAsC,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,0CAA0C,EAAE,OAAO,EAAE,IAAI2B,EAAE/B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOgC,EAAEhC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,GAAG,CAACiC,EAAES,EAAEC,CAAC,EAAEgxE,GAAG5xE,EAAEC,EAAE3B,CAAC,EAAEuC,EAAEF,EAAE,OAAO,MAAM,CAAC1C,EAAE,eAAe,CAAC4C,EAAE,CAAC,EAAE,QAAQX,CAAC,EAAEjC,EAAE,eAAe,CAAC4C,CAAC,EAAE,SAASF,CAAC,EAAE1C,EAAE,eAAe,CAAC,CAAC,EAAE,QAAQ,IAAI,WAAW2C,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIyoF,GAAG,CAAC,WAAW1mE,GAAG,YAAY,MAAM,WAAWymE,EAAE,EAAE,SAASE,GAAGvrF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,WAAWO,CAAC,EAAED,EAAE,CAAC,MAAM,CAAC,EAAE,EAAE,GAAG,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,kCAAkC,EAAE,GAAGC,GAAG,EAAE,MAAM,IAAI,MAAM,sCAAsC,EAAE,IAAI,EAAEL,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO+B,EAAE6xE,GAAG,EAAEvzE,CAAC,EAAE,OAAOL,EAAE,eAAe,EAAE,MAAM,QAAQ+B,CAAC,CAAC,CAAC,IAAIupF,GAAG,CAAC,WAAW3mE,GAAG,YAAY,MAAM,WAAW0mE,EAAE,EAAME,GAAGnW,GAAGvwD,GAAG/kB,GAAG,KAAK,IAAIA,CAAC,CAAC,EAAE0rF,GAAG,CAAC,WAAW3mE,GAAG,YAAY,MAAM,WAAW0mE,EAAE,EAAME,GAAGrW,GAAGtwD,GAAGhlB,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAE4rF,GAAG,CAAC,WAAW5mE,GAAG,YAAY,MAAM,WAAW2mE,EAAE,EAAE,SAASE,GAAG7rF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE2wE,GAAG1wE,EAAE,MAAM,EAAE,IAAI,EAAEyzE,GAAG9zE,EAAE,WAAWK,CAAC,EAAE,CAAC,EAAE,OAAOL,EAAE,eAAe,EAAE,MAAM,EAAE,MAAM,EAAE,MAAM,CAAC,CAAC,IAAI4rF,GAAG,CAAC,WAAW7mE,GAAG,YAAY,MAAM,WAAW4mE,EAAE,EAAE,SAASE,GAAG/rF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,OAAO,CAAC,EAAED,EAAE2wE,GAAG1wE,EAAE,MAAM,EAAE,IAAI0B,EAAE/B,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO,CAAC2B,EAAEC,CAAC,EAAE8xE,GAAGhyE,EAAE1B,EAAE,MAAMA,EAAE,MAAM,EAAE,CAAC,EAAE,MAAM,CAACL,EAAE,eAAegC,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,EAAEhC,EAAE,eAAeiC,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,CAAC,IAAI6pF,GAAG,CAAC,WAAW9mE,GAAG,YAAY,MAAM,WAAW6mE,EAAE,EAAE,SAASE,GAAGjsF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQI,CAAC,EAAEN,EAAE,CAAC,MAAMO,EAAE,WAAW,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,SAAS0B,EAAE,UAAUC,EAAE,YAAYC,CAAC,EAAEjC,EAAE,CAAC0C,EAAEC,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAM,CAACyC,EAAEkB,CAAC,EAAE/B,GAAG,KAAKA,EAAE,CAACU,EAAEC,CAAC,EAAE,EAAE,CAACF,EAAEI,EAAEkB,EAAEnB,CAAC,EAAEwE,EAAEsf,EAAE,eAAetmB,EAAE,KAAK,EAAEwE,EAAEwC,EAAE,GAAG5C,EAAE4C,EAAE,GAAG3C,EAAE2C,EAAE,GAAG1C,EAAEgiB,EAAE,eAAe,CAAC,EAAE/hB,EAAED,EAAE,GAAG2C,EAAE3C,EAAE,GAAGG,EAAEH,EAAE,GAAG4C,EAAEof,EAAE,uBAAuBtmB,EAAE,MAAMsmB,EAAE,cAAc,CAAC,CAAC,EAAEpf,EAAE,KAAKvF,CAAC,EAAE,IAAI+C,EAAE3E,EAAE,KAAK,IAAIC,EAAE,MAAM,EAAE,OAAO2E,EAAE5E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,QAAQ8E,EAAE,EAAEA,EAAExC,EAAE,EAAEwC,EAAE,CAAC,IAAIC,EAAE,EAAE,MAAM,KAAK,EAAEH,EAAEA,EAAE,SAASE,EAAE,EAAEA,EAAE,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEtC,EAAE,EAAEsC,EAAE,QAAQ2C,EAAE,EAAEA,EAAE/D,EAAE,EAAE+D,EAAE,QAAQN,EAAE,EAAEA,EAAE5E,EAAE,EAAE4E,EAAE,CAAC,IAAIO,EAAEC,EAAG9C,EAAE,GAAG4C,EAAE5C,EAAE,GAAGC,EAAE,EAAE,GAAG6C,IAAK,EAAE,SAAS,IAAIC,GAAI/C,EAAE,GAAG4C,EAAE5C,EAAE,GAAGC,EAAED,EAAE,IAAI8C,EAAGE,GAAIhD,EAAE,GAAG4C,EAAE5C,EAAE,GAAGC,EAAED,EAAE,IAAI8C,EAAGG,GAAG4jF,GAAG9jF,EAAGtF,EAAEb,CAAC,EAAEsG,GAAG2jF,GAAG7jF,EAAGxF,EAAEZ,CAAC,EAAE,OAAO,EAAE,CAAC,IAAI,UAAUiG,EAAEikF,GAAGlnF,EAAEpC,EAAEC,EAAEiC,EAAEJ,EAAEC,EAAEQ,EAAEmD,GAAGD,GAAGX,EAAEzF,CAAC,EAAE,MAAM,IAAI,WAAWgG,EAAEkkF,GAAGnnF,EAAEpC,EAAEC,EAAEiC,EAAEJ,EAAEC,EAAEQ,EAAEmD,GAAGD,GAAGX,EAAEzF,CAAC,EAAE,MAAM,QAAQ,MAAM,IAAI,MAAM,+DAA+D,GAAG,CAAC,CAAC,IAAIyE,GAAGvB,EAAEN,EAAEQ,EAAEkC,EAAES,EAAEjD,EAAE2C,EAAEF,EAAEd,IAAIuB,CAAC,CAAC,OAAO5H,EAAE,eAAe,EAAEC,EAAE,MAAMkH,CAAC,CAAC,CAAC,MAAM,CAAC,OAAOnH,EAAE,MAAMmH,EAAE,EAAElH,EAAE,KAAK,EAAE,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,IAAI8rF,GAAG,CAAC,WAAWlnE,GAAG,YAAY,MAAM,WAAW8mE,EAAE,EAAE,SAASC,GAAGlsF,EAAE,EAAEE,EAAE,CAAC,OAAOA,EAAE,CAAC,IAAI,UAAU,OAAOosF,GAAGtsF,EAAE,CAAC,EAAE,IAAI,OAAO,OAAOusF,GAAGvsF,EAAE,CAAC,EAAE,IAAI,UAAU,OAAOwsF,GAAGxsF,EAAE,CAAC,EAAE,IAAI,WAAW,QAAQ,OAAOysF,GAAGzsF,EAAE,CAAC,CAAC,CAAC,CAAC,SAASssF,GAAGtsF,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,GAAGE,EAAE,EAAE,GAAG,GAAG,EAAEA,EAAE,MAAM,CAAC,IAAII,EAAE,EAAE,EAAEJ,EAAEI,IAAIJ,EAAEI,EAAE,KAAK,MAAM,CAACJ,EAAEI,CAAC,EAAEJ,GAAGA,EAAEA,EAAE,CAAC,EAAEA,EAAEI,EAAE,CAACJ,EAAE,CAAC,SAASA,EAAE,EAAE,EAAE,GAAG,GAAG,EAAEA,EAAE,MAAM,CAAC,IAAII,EAAE,EAAE,EAAEJ,GAAGI,EAAE,KAAK,MAAMJ,EAAEI,CAAC,EAAEJ,GAAG,IAAIA,EAAEI,EAAEJ,EAAE,EAAE,CAAC,OAAO2mB,EAAE,MAAM,EAAE3mB,EAAE,EAAE,CAAC,CAAC,CAAC,SAASqsF,GAAGvsF,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,GAAGE,EAAE,EAAE,GAAG,GAAG,EAAEA,EAAE,MAAM,CAAC,IAAII,EAAE,EAAE,EAAEJ,GAAG,GAAG,KAAK,MAAM,CAACA,EAAEI,CAAC,EAAE,EAAE,SAASJ,EAAE,EAAE,EAAE,GAAG,GAAG,EAAEA,EAAE,MAAM,CAAC,IAAII,EAAE,EAAE,EAAEJ,GAAG,EAAE,KAAK,MAAMA,EAAEI,CAAC,CAAC,CAAC,OAAOumB,EAAE,MAAM,EAAE3mB,EAAE,EAAE,CAAC,CAAC,CAAC,SAASusF,GAAGzsF,EAAE,EAAE,CAAC,OAAOA,CAAC,CAAC,SAASwsF,GAAGxsF,EAAE,EAAE,CAAC,OAAO6mB,EAAE,MAAM,EAAE7mB,EAAE,EAAE,CAAC,CAAC,CAAC,SAAS0sF,GAAG1sF,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAE,CAAC,IAAIC,EAAE,EAAEvC,EAAE2B,EAAE1B,EAAE2B,EAAE,EAAEC,EAAE,MAAO,IAAGF,GAAGA,EAAE,GAAG,GAAGC,GAAGA,EAAEhC,EAAEF,EAAE6C,GAAGD,CAAC,CAAC,SAASupF,GAAGnsF,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAE,CAAC,IAAIC,EAAE,KAAK,MAAMZ,CAAC,EAAEa,EAAE,KAAK,MAAMZ,CAAC,EAAE,OAAOwqF,GAAG1sF,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAEsC,EAAEC,EAAEX,EAAES,CAAC,CAAC,CAAC,SAASwpF,GAAGpsF,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAE,CAAC,IAAIC,EAAE,KAAK,MAAMZ,CAAC,EAAEa,EAAE,KAAK,MAAMZ,CAAC,EAAEa,EAAEF,EAAE,EAAEG,EAAEF,EAAE,EAAEoB,GAAGlB,EAAEd,GAAGwqF,GAAG1sF,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAEsC,EAAEC,EAAEX,EAAES,CAAC,GAAGV,EAAEY,GAAG4pF,GAAG1sF,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAEsC,EAAEG,EAAEb,EAAES,CAAC,EAAE,GAAGI,EAAEd,GAAGwqF,GAAG1sF,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAEwC,EAAED,EAAEX,EAAES,CAAC,GAAGV,EAAEY,GAAG4pF,GAAG1sF,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAEwC,EAAEC,EAAEb,EAAES,CAAC,EAAE,OAAOG,EAAEd,GAAGiC,GAAGjC,EAAEY,GAAG,CAAC,CAAC,SAAS8pF,GAAG3sF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQI,CAAC,EAAEN,EAAE,CAAC,KAAKO,CAAC,EAAEL,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE+wE,GAAG,EAAE,QAAQ,EAAE,IAAI,EAAE3wE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC,aAAa2B,EAAE,YAAYC,EAAE,QAAQC,CAAC,EAAEgyE,GAAG,EAAE5zE,EAAE,EAAE,MAAM,EAAE,KAAK,EAAE,MAAM,CAACD,EAAE,eAAe4B,EAAE,EAAE,MAAMD,CAAC,EAAE3B,EAAE,eAAe,CAAC6B,EAAE,MAAM,EAAE,QAAQA,CAAC,CAAC,CAAC,CAAC,IAAIyqF,GAAG,CAAC,WAAWvnE,GAAG,YAAY,MAAM,WAAWsnE,EAAE,EAAE,SAASE,GAAG7sF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAE,IAAI,GAAGC,EAAE,MAAM,QAAQ,IAAI,EAAEA,EAAE,MAAM,OAAO0B,EAAE1B,EAAE,MAAM,GAAG2B,EAAE,IAAI,MAAM,EAAE,CAAC,EAAEC,EAAE,EAAE,QAAQY,EAAE,EAAEA,EAAE,EAAEA,IAAIA,IAAI,IAAIb,EAAEC,KAAK5B,EAAE,MAAMwC,IAAI,IAAIH,EAAE,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC,EAAEC,EAAEtC,EAAE,MAAM,MAAM,EAAEsC,EAAE,GAAG,EAAE,IAAIC,EAAE,IAAI,MAAMb,CAAC,EAAE,QAAQc,EAAE,EAAEA,EAAED,EAAE,OAAOC,IAAI,CAACH,EAAE,GAAGG,EAAE,IAAIC,EAAE01E,GAAG,CAAC,OAAO,CAAC,EAAEn4E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM0C,EAAE,KAAKC,CAAC,CAAC,CAAC,EAAEC,EAAEC,GAAGo3E,GAAG,CAAC,OAAO,CAAC,EAAEn3E,CAAC,EAAE,QAAQ9C,EAAE,MAAM,CAAC,MAAMgC,CAAC,CAAC,CAAC,EAAEhC,EAAE,8BAA8B8C,CAAC,CAAC,CAAC,OAAOF,CAAC,CAAC,IAAIgqF,GAAG,CAAC,WAAWxnE,GAAG,YAAY,MAAM,WAAWunE,EAAE,EAAE,SAASE,GAAG/sF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,WAAW,CAAC,EAAE,EAAE,CAAC,YAAY,CAAC,EAAED,EAAE2wE,GAAG1wE,EAAE,oBAAoB,EAAE,IAAI0B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE,EAAE,MAAM,OAAOC,EAAE,CAAC,EAAES,EAAE,CAAC,EAAEC,EAAEZ,EAAEC,EAAEY,EAAE,EAAE,QAAQE,EAAE,EAAEA,EAAEH,EAAE,EAAEG,EAAE,CAAC,IAAIkB,EAAE+8E,GAAG,CAAC,OAAO,CAAC,MAAMn+E,CAAC,EAAE,QAAQ5C,EAAE,MAAM,CAAC,IAAI8C,EAAE,CAAC,CAAC,CAAC,EAAEF,EAAEoB,EAAEtB,EAAE,KAAKsB,CAAC,CAAC,CAAC,QAAQlB,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIkB,EAAE2iB,EAAE,kBAAkB7jB,EAAE,OAAO,EAAE,EAAE9C,EAAE,eAAe,CAAC,EAAE,QAAQgE,CAAC,EAAEqD,EAAEmuE,GAAG,CAAC,OAAO,CAAC,EAAE,EAAE,EAAE5yE,CAAC,EAAE,QAAQ5C,CAAC,CAAC,EAAE6E,EAAE+vE,GAAG,CAAC,OAAO,CAAC,EAAAvtE,CAAC,EAAE,QAAQrH,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAEyE,EAAEsyE,GAAG,CAAC,OAAO,CAAC,EAAElyE,EAAE,EAAExE,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE0E,EAAEu7E,GAAG,CAAC,OAAO,CAACx7E,CAAG,EAAE,QAAQzE,EAAE,MAAM,CAAC,KAAK,EAAE,SAAS,EAAE,CAAC,CAAC,EAAEiC,EAAE,KAAKyC,CAAC,EAAEhC,EAAE,KAAK,CAAC,EAAEA,EAAE,KAAK2E,CAAC,EAAE3E,EAAE,KAAKmC,CAAC,EAAEnC,EAAE,KAAK+B,CAAC,EAAE/B,EAAE,KAAKgC,CAAC,CAAC,CAAC,IAAI7B,EAAE8jF,GAAG,CAAC,OAAO1kF,EAAE,QAAQjC,EAAE,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,OAAO0C,EAAE,QAAQI,GAAG9C,EAAE,8BAA8B8C,CAAC,CAAC,EAAED,CAAC,CAAC,IAAIiqF,GAAG,CAAC,WAAWznE,GAAG,YAAY,MAAM,WAAWwnE,EAAE,EAAME,GAAG,CAACzS,GAAGnG,GAAGqG,GAAGE,GAAGxF,GAAG0F,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGG,GAAGE,GAAGM,GAAGE,GAAGE,GAAGE,GAAGvC,GAAGyC,GAAGE,GAAGE,GAAGE,GAAGtI,GAAGU,GAAG8H,GAAG/I,GAAGiJ,GAAGI,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGC,GAAGC,GAAGC,GAAGI,GAAG9G,GAAGgH,GAAG7K,GAAGqL,GAAGnL,GAAGqL,GAAGnL,GAAG6L,GAAGG,GAAGC,GAAG/L,GAAGkM,GAAGE,GAAGE,GAAGE,GAAGE,GAAGxM,GAAGE,GAAG1B,GAAGkO,GAAGlF,GAAGoF,GAAGE,GAAGE,GAAGzJ,GAAGnD,GAAGE,GAAG4M,GAAG1M,GAAG4M,GAAGG,GAAGE,GAAGG,GAAGE,GAAGE,GAAGE,GAAGxN,GAAG0N,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGpO,GAAGsO,GAAGG,GAAGK,GAAG3O,GAAGE,GAAG4O,GAAGG,GAAGG,GAAGhP,GAAGkP,GAAGI,GAAGE,GAAGE,GAAGG,GAAGtN,GAAGnC,GAAG2P,GAAGE,GAAGE,GAAG5S,GAAGwM,GAAGsG,GAAG5N,GAAGE,GAAGG,GAAGyN,GAAGE,GAAGE,GAAGE,GAAGE,GAAGC,GAAGE,GAAGjQ,GAAGmQ,GAAGK,GAAGE,GAAGI,GAAG5Q,GAAG8Q,GAAGE,GAAGE,GAAGhR,GAAGgN,GAAGoE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGhS,GAAGiS,GAAG/R,GAAGiS,GAAGE,GAAGE,GAAGE,GAAGE,GAAGpS,GAAGgH,GAAGsL,GAAGE,GAAGE,GAAGE,GAAGK,GAAG7U,GAAGoV,GAAGE,GAAGE,GAAGtG,EAAE,EAAE,QAAQ1mF,KAAKitF,GAAGzmE,GAAGxmB,CAAC,EAAE,IAAIktF,GAAG,CAAC,EAAE9sF,GAAG8sF,GAAG,CAAC,iBAAiB,IAAIC,GAAG,wBAAwB,IAAIC,GAAG,8BAA8B,IAAIC,GAAG,mCAAmC,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,mCAAmC,IAAIC,GAAG,aAAa,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,qBAAqB,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,cAAc,IAAIC,GAAG,wBAAwB,IAAIC,GAAG,yBAAyB,IAAIC,GAAG,cAAc,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,YAAY,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,uBAAuB,IAAIC,GAAG,eAAe,IAAIC,GAAG,0BAA0B,IAAIC,GAAG,iCAAiC,IAAIC,GAAG,YAAY,IAAIC,GAAG,aAAa,IAAIC,GAAG,gCAAgC,IAAIC,GAAG,kCAAkC,IAAIC,GAAG,qBAAqB,IAAIC,GAAG,uBAAuB,IAAIC,GAAG,aAAa,IAAIC,GAAG,mCAAmC,IAAIC,GAAG,8BAA8B,IAAIC,GAAG,cAAc,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,sBAAsB,IAAIC,GAAG,YAAY,IAAIC,GAAG,0BAA0B,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,yBAAyB,IAAIC,GAAG,kCAAkC,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,oBAAoB,IAAIC,EAAE,CAAC,EAAE,IAAIC,GAAG,CAAC,EAAEC,GAAG,CAAC,MAAM,GAAG,UAAU,GAAG,mBAAmB,GAAG,sBAAsB,GAAG,MAAM,GAAG,QAAQ,GAAG,6BAA6B,EAAE,EAAE,SAASC,GAAGhwF,EAAE,EAAE,CAAC8vF,GAAG9vF,GAAG,CAAC,CAAC,SAASiwF,GAAGjwF,EAAE,EAAE,CAAC,GAAG,EAAEA,KAAK8vF,KAAK,GAAG,KAAK,CAAC,IAAIxvF,EAAE4vF,GAAGlwF,EAAE,CAAC,EAAE,GAAGM,IAAI,KAAKwvF,GAAG9vF,GAAGM,MAAO,QAAO,QAAQ,IAAI,0CAA0CN,CAAC,EAAE,IAAI,CAAC,IAAIE,EAAE4vF,GAAG9vF,GAAG,OAAOE,GAAG,MAAMA,EAAE,cAAc,GAAG,OAAO4vF,GAAG9vF,GAAGiwF,GAAGjwF,CAAC,IAAIE,EAAE,QAAQA,EAAE,UAAU,EAAEA,EAAE,QAAQA,EAAE,YAAY,EAAEA,EAAE,QAAQA,EAAE,KAAK,EAAEA,EAAE,QAAQA,EAAE,MAAM,EAAEA,EAAE,QAAQA,EAAE,mBAAmB,EAAEA,EAAE,QAAQA,EAAE,eAAe,EAAEA,EAAE,OAAOA,EAAE,YAAY,EAAEA,EAAE,OAAOA,EAAE,SAAS,EAAEA,EAAE,SAASA,EAAE,IAAI,EAAE4vF,GAAG9vF,GAAG,CAAC,SAASmwF,GAAGnwF,EAAE,CAAC,GAAG,OAAO,iBAAiB,aAAaA,IAAI,EAAE,OAAO,IAAI,gBAAgB,IAAI,GAAG,EAAE,GAAG,OAAO,UAAU,YAAY,OAAO,SAAS,cAAc,QAAQ,EAAE,MAAM,IAAI,MAAM,wCAAwC,CAAC,CAAC,SAASkwF,GAAGlwF,EAAE,EAAE,CAAC,GAAGA,IAAI,GAAGA,IAAI,EAAE,MAAM,IAAI,MAAM,wDAAwD,EAAE,IAAIE,EAAE,GAAG,KAAKiwF,GAAGnwF,CAAC,EAAE,EAAE,OAAOE,EAAE,iBAAiB,mBAAmBI,GAAG,CAACA,EAAE,eAAe,EAAE,OAAOwvF,GAAG9vF,EAAE,EAAE,EAAE,EAAEya,EAAE,EAAE,QAAQ,wBAAwB,IAAIs1E,GAAG,6BAA6B,IAAI/vF,IAAI,EAAEE,EAAE,WAAW,QAAQ6vF,EAAE,GAAG7vF,EAAE,WAAW,qBAAqB6vF,EAAE,EAAE7vF,EAAE,WAAW,SAAS6vF,EAAE,CAAC,CAAC,IAAIK,IAAI,SAASpwF,EAAE,CAACA,EAAEA,EAAE,MAAM,GAAG,QAAQA,EAAEA,EAAE,aAAa,GAAG,cAAc,GAAGowF,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAASrwF,EAAE,CAACA,EAAEA,EAAE,OAAO,GAAG,SAASA,EAAEA,EAAE,OAAO,GAAG,SAASA,EAAEA,EAAE,OAAO,GAAG,SAASA,EAAEA,EAAE,SAAS,GAAG,UAAU,GAAGqwF,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAAStwF,EAAE,CAACA,EAAEA,EAAE,iBAAiB,GAAG,mBAAmBA,EAAEA,EAAE,iBAAiB,GAAG,mBAAmBA,EAAEA,EAAE,yBAAyB,GAAG,2BAA2BA,EAAEA,EAAE,mBAAmB,GAAG,qBAAqBA,EAAEA,EAAE,mBAAmB,GAAG,oBAAoB,GAAGswF,KAAKA,GAAG,CAAC,EAAE,EAAE,SAASC,GAAGvwF,EAAE,EAAE,CAAC,MAAM,CAAC,EAAEA,CAAC,CAAC,CAAC,SAASwwF,GAAGxwF,EAAE,EAAE,CAAC,OAAOA,EAAE,CAAC,CAAC,SAASywF,GAAGzwF,EAAE,CAAC,IAAI,EAAE6mB,EAAE,cAAc7mB,CAAC,EAAEE,EAAE,KAAK,KAAK,EAAE,CAAC,EAAE,OAAO2mB,EAAE,oBAAoB3mB,CAAC,CAAC,CAAC,SAASwwF,GAAG1wF,EAAE,EAAE,CAAC,MAAM,CAAC,KAAK,IAAI,EAAE,KAAK,KAAK,EAAE,CAAC,CAAC,EAAE,KAAK,IAAI,EAAE,KAAK,KAAKA,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS2wF,GAAG3wF,EAAE,EAAE,CAAC,GAAG,CAACE,EAAEI,CAAC,EAAEowF,GAAG1wF,EAAE,CAAC,EAAE,OAAOE,EAAEI,EAAE,CAAC,CAAC,SAASswF,GAAG5wF,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAEM,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAEC,EAAEC,EAAE,OAAO2X,EAAE,EAAE,UAAU,eAAe,IAAI,GAAGna,EAAEJ,EAAE,KAAKK,EAAEL,EAAE,KAAK,EAAEA,EAAE,QAAQ,EAAEA,EAAE,QAAQ+B,EAAE/B,EAAE,IAAIiC,EAAE,EAAES,EAAE,EAAEC,EAAE3C,EAAE,WAAW4C,EAAE5C,EAAE,MAAMgC,EAAEhC,EAAE,QAAQI,EAAEN,EAAE,KAAKO,EAAEP,EAAE,KAAK,EAAEA,EAAE,KAAK,EAAEE,EAAE,KAAK+B,EAAEjC,EAAE,KAAKmC,EAAE,EAAES,EAAE,EAAEC,EAAE,GAAG,KAAK,EAAE,eAAe,KAAKC,EAAE9C,EAAE,MAAMkC,EAAElC,EAAE,MAAM,CAAC,oBAAoBM,EAAE,wBAAwBC,EAAE,8BAA8B,EAAE,0BAA0B,EAAE,mBAAmB0B,EAAE,sBAAsBC,EAAE,0BAA0BC,EAAE,mBAAmBS,EAAE,qBAAqBC,EAAE,iBAAiBC,CAAC,CAAC,CAAC,SAAS2qF,GAAGztF,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAE,EAAE,OAAOua,EAAE,EAAE,QAAQ,OAAO,GAAGo2E,GAAG7wF,CAAC,EAAEE,CAAC,CAAC,SAAS2wF,GAAG7wF,EAAE,CAAC,IAAI,EAAEA,EAAE,SAAS,EAAE,GAAG,IAAIA,EAAE,SAAS,MAAM,IAAI,MAAM,gBAAgB6uF,GAAG7uF,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI8wF,GAAG,QAAQC,GAAG,MAAM,SAASrD,GAAG1tF,EAAE,CAAC,MAAM,CAAC,EAAEya,EAAE,EAAE,QAAQ,8BAA8B,GAAGza,IAAI,GAAG8wF,GAAG,KAAK,IAAI9wF,CAAC,GAAG,KAAK,IAAIA,CAAC,EAAE+wF,GAAG,CAAC,SAASlC,GAAG7uF,EAAE,EAAE,CAAC,OAAO,EAAE,CAAC,KAAKA,EAAE,SAAS,MAAM,WAAW,KAAKA,EAAE,aAAa,MAAM,eAAe,KAAKA,EAAE,cAAc,MAAM,gBAAgB,KAAKA,EAAE,kBAAkB,MAAM,oBAAoB,KAAKA,EAAE,8BAA8B,MAAM,gCAAgC,KAAKA,EAAE,cAAc,MAAM,gBAAgB,KAAKA,EAAE,mBAAmB,MAAM,qBAAqB,QAAQ,MAAM,sBAAsB,GAAG,CAAC,CAAC,SAASmuF,GAAGnuF,EAAE,EAAE,CAAC,OAAOgxF,GAAGhxF,EAAE,IAAIA,EAAE,aAAa,CAAC,EAAE,cAAc,EAAE,kCAAkC,CAAC,CAAC,SAASiuF,GAAGjuF,EAAE,EAAE,CAAC,IAAIE,EAAE8wF,GAAGhxF,EAAE,IAAIA,EAAE,aAAaA,EAAE,aAAa,EAAE,sCAAsC,EAAE,GAAGytF,GAAGztF,EAAE,IAAIA,EAAE,aAAaE,EAAE,CAAC,CAAC,EAAEutF,GAAGztF,EAAE,IAAIA,EAAE,cAAcE,CAAC,CAAC,EAAEF,EAAE,mBAAmBE,EAAEF,EAAE,cAAc,IAAI,GAAG,MAAM,QAAQ,IAAIA,EAAE,iBAAiBE,CAAC,CAAC,EAAE,IAAI,MAAM,kCAAkC,EAAE,OAAOA,CAAC,CAAC,SAASytF,GAAG3tF,EAAE,EAAE,CAAC,IAAIE,EAAE8wF,GAAGhxF,EAAE,IAAIA,EAAE,aAAaA,EAAE,eAAe,EAAE,wCAAwC,EAAE,GAAGytF,GAAGztF,EAAE,IAAIA,EAAE,aAAaE,EAAE,CAAC,CAAC,EAAEutF,GAAGztF,EAAE,IAAIA,EAAE,cAAcE,CAAC,CAAC,EAAEua,EAAE,EAAE,IAAI,qBAAqB,EAAE,OAAOva,EAAE,GAAGF,EAAE,mBAAmBE,EAAEF,EAAE,cAAc,IAAI,GAAG,MAAMsvF,GAAG,EAAEtvF,EAAE,iBAAiBE,CAAC,CAAC,EAAE,IAAI,MAAM,oCAAoC,EAAE,OAAOA,CAAC,CAAC,IAAI+wF,GAAG,2BAA2B,SAAS3B,GAAGtvF,EAAE,EAAE,CAAC,IAAIE,EAAE+wF,GAAG,KAAK,CAAC,EAAE,GAAG/wF,GAAG,KAAK,CAAC,QAAQ,IAAI,wCAAwC,GAAG,EAAE,QAAQ,IAAIF,CAAC,EAAE,MAAM,CAAC,IAAIM,EAAE,CAACJ,EAAE,GAAGK,EAAEP,EAAE,MAAM;AAAA,CAClhc,EAAE,EAAEO,EAAE,OAAO,SAAS,EAAE,OAAO,EAAE,EAAEA,EAAE,IAAI,CAACsC,EAAEC,IAAI+jB,EAAE,UAAU/jB,EAAE,GAAG,SAAS,EAAE,CAAC,EAAED,CAAC,EAAEZ,EAAE,EAAE,QAAQY,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAIZ,EAAE,KAAK,IAAI,EAAEY,GAAG,OAAOZ,CAAC,EAAE,IAAIC,EAAE,EAAE,MAAM,EAAE5B,EAAE,CAAC,EAAE6B,EAAE,EAAE,MAAM7B,EAAE,EAAEA,CAAC,EAAEsC,EAAE,EAAE,MAAMtC,CAAC,EAAE,QAAQ,IAAI4B,EAAE,KAAK;AAAA,CACjN,CAAC,EAAE,QAAQ,IAAI,EAAE,MAAM;AAAA,CACvB,EAAE,EAAE,EAAE,QAAQ,IAAI,MAAM2kB,EAAE,SAAS1kB,EAAE,GAAGF,CAAC,IAAI,+DAA+D,EAAE,QAAQ,IAAIW,EAAE,KAAK;AAAA,CACjI,CAAC,CAAC,CAAC,SAASirF,GAAG7tF,EAAE,CAAC,OAAOgxF,GAAGhxF,EAAE,IAAIA,EAAE,cAAc,EAAE,gCAAgC,CAAC,CAAC,SAASqvF,GAAGrvF,EAAE,EAAE,CAAC,GAAGytF,GAAGztF,EAAE,IAAIA,EAAE,YAAY,CAAC,CAAC,EAAE,CAACya,EAAE,EAAE,IAAI,qBAAqB,GAAGza,EAAE,oBAAoB,EAAEA,EAAE,WAAW,IAAI,GAAG,MAAM,QAAQ,IAAIA,EAAE,kBAAkB,CAAC,CAAC,EAAE,IAAI,MAAM,6CAA6C,CAAC,CAAC,SAAS4vF,GAAG5vF,EAAE,EAAE,CAAC,GAAGytF,GAAGztF,EAAE,IAAIA,EAAE,gBAAgB,CAAC,CAAC,EAAEA,EAAE,oBAAoB,EAAEA,EAAE,eAAe,IAAI,GAAG,MAAM,QAAQ,IAAIA,EAAE,kBAAkB,CAAC,CAAC,EAAE,IAAI,MAAM,mCAAmC,CAAC,CAAC,SAAS+tF,GAAG/tF,EAAE,EAAE,CAAC,IAAIE,EAAE8wF,GAAGhxF,EAAE,IAAIA,EAAE,aAAa,EAAE,8BAA8B,EAAE,OAAOytF,GAAGztF,EAAE,IAAIA,EAAE,WAAWA,EAAE,aAAaE,CAAC,CAAC,EAAEutF,GAAGztF,EAAE,IAAIA,EAAE,WAAWA,EAAE,aAAa,EAAEA,EAAE,WAAW,CAAC,EAAEE,CAAC,CAAC,SAAS4tF,GAAG9tF,EAAE,EAAE,CAAC,IAAIE,EAAE8wF,GAAGhxF,EAAE,IAAIA,EAAE,aAAa,EAAE,8BAA8B,EAAE,OAAOytF,GAAGztF,EAAE,IAAIA,EAAE,WAAWA,EAAE,qBAAqBE,CAAC,CAAC,EAAEutF,GAAGztF,EAAE,IAAIA,EAAE,WAAWA,EAAE,qBAAqB,EAAEA,EAAE,WAAW,CAAC,EAAEE,CAAC,CAAC,SAASouF,IAAI,CAAC,OAAO7zE,EAAE,EAAE,UAAU,eAAe,IAAI,EAAE,EAAE,CAAC,CAAC,SAASuzE,GAAGhuF,EAAE,CAAC,OAAOgxF,GAAGhxF,EAAE,IAAIA,EAAE,cAAc,EAAE,gCAAgC,CAAC,CAAC,SAAS6vF,GAAG7vF,EAAE,EAAE,CAAC,IAAIE,EAAEua,EAAE,EAAE,UAAU,wBAAwB,EAAE,GAAGza,GAAG,GAAG,GAAG,EAAE,CAAC,IAAIM,EAAE,IAAIN,KAAK,KAAK,MAAM,IAAI,MAAM,0BAA0BM,EAAE,cAAc,CAAC,CAAC,GAAGN,EAAEE,GAAG,EAAEA,EAAE,CAAC,IAAII,EAAE,IAAIN,KAAK,KAAKO,EAAE,IAAIL,KAAKA,KAAK,MAAM,IAAI,MAAM,0BAA0BI,EAAE,qDAAqDC,EAAE,GAAG,CAAC,CAAC,CAAC,SAASqtF,GAAG5tF,EAAE,CAAC,OAAOgxF,GAAGhxF,EAAE,IAAIA,EAAE,kBAAkB,EAAE,oCAAoC,CAAC,CAAC,SAASwtF,GAAGxtF,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE,CAAC,IAAI0B,EAAEjC,EAAE,kBAAkB,EAAEE,CAAC,EAAE,OAAO+B,IAAI,GAAG,IAAIwrF,GAAGztF,EAAE,IAAIA,EAAE,WAAWA,EAAE,aAAaM,CAAC,CAAC,EAAEmtF,GAAGztF,EAAE,IAAIA,EAAE,oBAAoBiC,EAAE1B,EAAEP,EAAE,MAAM,GAAG,EAAE,CAAC,CAAC,EAAEytF,GAAGztF,EAAE,IAAIA,EAAE,wBAAwBiC,CAAC,CAAC,EAAE,GAAG,CAAC,SAASsrF,GAAGvtF,EAAE,EAAEE,EAAE,CAACgxF,GAAGlxF,EAAEE,CAAC,EAAEutF,GAAGztF,EAAE,IAAIA,EAAE,cAAcA,EAAE,SAASE,CAAC,CAAC,EAAEutF,GAAGztF,EAAE,IAAIA,EAAE,YAAYA,EAAE,WAAW,CAAC,CAAC,CAAC,CAAC,SAAS0vF,GAAG1vF,EAAE,EAAE,CAACkxF,GAAGlxF,EAAE,CAAC,EAAEytF,GAAGztF,EAAE,IAAIA,EAAE,cAAcA,EAAE,SAAS,CAAC,CAAC,EAAEytF,GAAGztF,EAAE,IAAIA,EAAE,YAAYA,EAAE,WAAW,IAAI,CAAC,CAAC,CAAC,SAASwuF,GAAGxuF,EAAE,EAAEE,EAAE,CAAC,OAAO8wF,GAAGhxF,EAAE,IAAIA,EAAE,mBAAmB,EAAEE,CAAC,EAAE,YAAYA,EAAE,2BAA2B,CAAC,CAAC,SAASquF,GAAGvuF,EAAE,EAAEE,EAAE,CAAC,OAAOF,EAAE,mBAAmB,EAAEE,CAAC,CAAC,CAAC,SAASotF,GAAGttF,EAAE,EAAEE,EAAEI,EAAE,CAACmtF,GAAGztF,EAAE,IAAIutF,GAAGvtF,EAAE,EAAEM,CAAC,CAAC,EAAEmtF,GAAGztF,EAAE,IAAIA,EAAE,UAAUE,EAAEI,CAAC,CAAC,CAAC,CAAC,SAAS8sF,GAAGptF,EAAE,CAACytF,GAAGztF,EAAE,IAAIA,EAAE,gBAAgBA,EAAE,YAAY,IAAI,CAAC,EAAEytF,GAAGztF,EAAE,IAAIA,EAAE,SAAS,EAAE,EAAEA,EAAE,OAAO,MAAMA,EAAE,OAAO,MAAM,CAAC,EAAEytF,GAAGztF,EAAE,IAAIA,EAAE,QAAQ,EAAE,EAAEA,EAAE,OAAO,MAAMA,EAAE,OAAO,MAAM,CAAC,CAAC,CAAC,SAASqtF,GAAGrtF,EAAE,EAAEE,EAAE,CAACutF,GAAGztF,EAAE,IAAIA,EAAE,gBAAgBA,EAAE,YAAYE,CAAC,CAAC,EAAEutF,GAAGztF,EAAE,IAAIA,EAAE,qBAAqBA,EAAE,YAAYA,EAAE,kBAAkBA,EAAE,WAAW,EAAE,CAAC,CAAC,CAAC,CAAC,SAASyvF,GAAGzvF,EAAE,EAAE,CAACytF,GAAGztF,EAAE,IAAIA,EAAE,gBAAgBA,EAAE,YAAY,CAAC,CAAC,EAAEytF,GAAGztF,EAAE,IAAIA,EAAE,qBAAqBA,EAAE,YAAYA,EAAE,kBAAkBA,EAAE,WAAW,KAAK,CAAC,CAAC,CAAC,CAAC,SAAS2vF,GAAG3vF,EAAE,CAAC,IAAI,EAAEA,EAAE,uBAAuBA,EAAE,WAAW,EAAE,GAAG,IAAIA,EAAE,qBAAqB,MAAM,IAAI,MAAM,8BAA8BouF,GAAGpuF,EAAE,CAAC,CAAC,CAAC,CAAC,SAASouF,GAAGpuF,EAAE,EAAE,CAAC,OAAO,EAAE,CAAC,KAAKA,EAAE,kCAAkC,MAAM,oCAAoC,KAAKA,EAAE,0CAA0C,MAAM,4CAA4C,KAAKA,EAAE,kCAAkC,MAAM,oCAAoC,KAAKA,EAAE,wBAAwB,MAAM,0BAA0B,QAAQ,MAAM,iBAAiB,GAAG,CAAC,CAAC,SAASgxF,GAAGhxF,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEmtF,GAAGztF,EAAE,IAAI,EAAE,CAAC,EAAE,GAAGM,GAAG,KAAK,MAAM,IAAI,MAAMJ,CAAC,EAAE,OAAOI,CAAC,CAAC,SAAS4wF,GAAGlxF,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,iCAAiC,EAAEM,EAAE,EAAEN,EAAE,SAAS,GAAGM,EAAEN,EAAE,UAAUM,EAAEJ,EAAE,CAAC,IAAIK,EAAE,2BAA2BL,KAAK,MAAM,IAAI,MAAM,0BAA0BK,IAAI,CAAC,CAAC,CAAC,SAAS2tF,GAAGluF,EAAE,EAAE,EAAE,CAAC,OAAO6mB,EAAE,cAAc7mB,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,SAASyuF,GAAGzuF,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,MAAM,MAAM,sDAAsD,EAAE,MAAM,CAACA,EAAE,OAAO,EAAEA,EAAEA,EAAE,OAAO,GAAG,EAAEA,EAAEA,EAAE,OAAO,EAAE,CAAC,CAAC,SAAS0uF,GAAG1uF,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,OAAOA,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAGA,EAAE,KAAK,IAAI,EAAE,CAACkuF,GAAGluF,CAAC,EAAE,GAAGyuF,GAAGzuF,CAAC,CAAC,GAAG,CAAC,CAAC,SAAS2uF,GAAG3uF,EAAE,EAAE,GAAG,CAAC,IAAIE,EAAEua,EAAE,EAAE,UAAU,wBAAwB,EAAEna,EAAEma,EAAE,EAAE,UAAU,mCAAmC,EAAEna,IAAI,EAAE,GAAGma,EAAE,EAAE,QAAQ,0CAA0C,IAAIna,EAAEJ,EAAE,GAAG,IAAIA,EAAEA,EAAE,EAAEI,EAAEA,EAAE,EAAEN,EAAEA,EAAE,IAAI,CAACiC,EAAEC,IAAIA,GAAGlC,EAAE,OAAO,EAAE6mB,EAAE,kBAAkB7mB,EAAEkC,EAAE,EAAElC,EAAEkC,EAAE,EAAElC,EAAE,SAAS,IAAIA,EAAE,CAAC,EAAEA,EAAE,EAAE,IAAIA,EAAE,SAAS,IAAIA,EAAE6mB,EAAE,aAAa7mB,CAAC,EAAE,UAAU,IAAIO,EAAEsmB,EAAE,cAAc7mB,CAAC,EAAE,EAAE,KAAKA,EAAE,QAAQ,GAAGO,GAAGL,EAAE,EAAE,CAAC,EAAEK,CAAC,EAAEP,EAAE,SAAS,GAAGA,EAAE,IAAIE,GAAGF,EAAE,IAAIE,EAAE,EAAEF,EAAEA,EAAE,SAAS,GAAGA,EAAE,GAAGA,EAAE,IAAIE,GAAGF,EAAE,IAAIE,EAAE,EAAE,CAACF,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,EAAEA,EAAE,SAAS,GAAGA,EAAE,IAAIE,GAAGF,EAAE,GAAGA,EAAE,IAAIE,EAAE,EAAE,CAACF,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,EAAEA,EAAE,SAAS,GAAGA,EAAE,GAAGA,EAAE,GAAGA,EAAE,IAAIE,GAAGF,EAAE,IAAIE,EAAE,EAAE,CAACF,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,EAAEA,EAAE,SAAS,GAAGA,EAAE,IAAIE,GAAGF,EAAE,GAAGA,EAAE,GAAGA,EAAE,IAAIE,IAAI,EAAE,CAACF,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,GAAG,IAAI,EAAE,GAAG,MAAM,KAAK,IAAI,GAAG,CAAC,EAAEM,GAAG,KAAK,IAAI,GAAG,CAAC,IAAI,EAAE,EAAE,IAAI,KAAK,IAAI,GAAG,CAAC,EAAE,EAAE,GAAG,GAAG,MAAM,EAAE,GAAG,EAAE,CAAC,IAAI2B,EAAEisF,GAAGluF,CAAC,EAAEkC,EAAE,EAAEC,EAAE,EAAEnC,EAAE,SAAS,CAACkC,EAAEC,CAAC,EAAEssF,GAAGzuF,CAAC,GAAGO,EAAE0B,GAAGC,EAAE,IAAIC,EAAE,GAAG,EAAE0kB,EAAE,oBAAoBtmB,CAAC,EAAE,IAAIqC,GAAGA,EAAE,CAAC,CAAC,MAAM,EAAEikB,EAAE,oBAAoBtmB,CAAC,EAAE,OAAO,CAAC,CAAC,SAAS4wF,GAAGnxF,EAAE,CAAC,OAAOA,EAAE,IAAI,CAAC,CAAC,SAASkvF,GAAGlvF,EAAE,EAAE,CAAC,GAAGA,EAAEA,EAAE,MAAM,EAAE,EAAE,EAAE,EAAE,MAAM,EAAE,EAAE6mB,EAAE,YAAY7mB,EAAE,CAAC,GAAG,CAACA,EAAE,QAAQ,CAAC,EAAE,QAAQA,EAAE,KAAK,GAAGA,EAAE,KAAK,GAAG,EAAE,KAAK,GAAG,EAAE,KAAK,EAAE,MAAM,GAAG,GAAGA,EAAE,SAAS,EAAE,OAAO,CAAC,IAAIE,EAAEF,EAAE,MAAM,EAAE,EAAE,GAAGM,EAAE,EAAE,MAAM,EAAE,EAAE,GAAG,GAAGJ,IAAII,GAAG6wF,GAAGjxF,CAAC,GAAGixF,GAAG7wF,CAAC,IAAIN,EAAE,KAAK,GAAG,EAAE,KAAK,GAAG,MAAM,EAAE,CAAC,OAAOA,EAAE,KAAK,EAAE,IAAImxF,GAAGnxF,EAAE,EAAE,GAAGmxF,GAAG,EAAE,EAAE,CAAC,CAAC,IAAIC,GAAGC,GAAG,SAASvC,GAAG9uF,EAAE,CAAC,GAAGoxF,IAAI,KAAK,CAAC,IAAI,EAAEnB,GAAGjwF,CAAC,EAAEoxF,GAAG,EAAE,aAAa,EAAE,gBAAgB,CAAC,CAAC,OAAOA,EAAE,CAAC,SAAS7B,IAAI,CAAC6B,GAAG,IAAI,CAAC,SAAS5B,IAAI,CAAC6B,GAAG,IAAI,CAAC,SAAShD,GAAGruF,EAAE,CAAC,GAAGqxF,IAAI,KAAK,CAAC,IAAI,EAAEpB,GAAGjwF,CAAC,EAAEqxF,GAAG,EAAE,aAAa,EAAE,uBAAuB,CAAC,CAAC,OAAO,KAAK,IAAI,GAAGA,EAAE,CAAC,CAAC,SAASzC,GAAG5uF,EAAE,CAAC,GAAGA,IAAI,EAAE,MAAO,GAAE,IAAI,EAAEE,EAAE+vF,GAAGjwF,CAAC,EAAE,OAAO+uF,GAAG7uF,EAAE,iCAAiC,GAAGF,IAAI,EAAE,EAAE,EAAE+uF,GAAG7uF,EAAE,0BAA0B,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,SAAS6uF,GAAG/uF,EAAE,EAAE,CAAC,OAAOA,EAAE,aAAa,CAAC,GAAG,IAAI,CAAC,SAASovF,GAAGpvF,EAAE,CAAC,GAAG,CAAC,GAAGiwF,GAAGjwF,CAAC,GAAG,KAAK,MAAM,EAAE,OAAO,EAAN,CAAS,OAAO,QAAQ,IAAI,qCAAqC,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,CAAC,SAASgvF,GAAGhvF,EAAE,CAAC,GAAGA,IAAI,EAAE,MAAM,GAAG,IAAI,EAAEiwF,GAAGjwF,CAAC,EAAE,GAAGA,IAAI,GAAG,GAAG,CAAC+uF,GAAG,EAAE,mBAAmB,EAAE,MAAM,WAAW,CAACA,GAAG,EAAE,wBAAwB,EAAE,MAAM,GAAG,OAAOuC,GAAG,CAAC,CAAC,CAAC,SAASrC,GAAGjvF,EAAE,CAAC,GAAGA,IAAI,EAAE,MAAM,GAAG,IAAI,EAAEiwF,GAAGjwF,CAAC,EAAE,GAAGA,IAAI,GAAG,GAAG,CAAC+uF,GAAG,EAAE,mBAAmB,GAAG,CAACA,GAAG,EAAE,0BAA0B,EAAE,MAAM,OAAO,CAAC,GAAGA,GAAG,EAAE,wBAAwB,EAAE,OAAOuC,GAAG,CAAC,EAAE,IAAI,EAAE,8BAA8B,GAAGvC,GAAG,EAAE,CAAC,EAAE,CAAC,IAAIxuF,EAAE,EAAE,aAAa,CAAC,EAAE,OAAOgxF,GAAG,EAAEhxF,CAAC,CAAC,CAAC,MAAM,EAAE,CAAC,OAAO+wF,GAAG,CAAC,CAAC,CAAC,SAASA,GAAGtxF,EAAE,CAAC,IAAI,EAAE4wF,GAAG5wF,CAAC,EAAEE,EAAEF,EAAE,cAAc,EAAEA,EAAE,YAAYA,EAAE,WAAWE,CAAC,EAAE,IAAII,EAAE,EAAEC,EAAE,EAAEP,EAAE,WAAWA,EAAE,WAAW,EAAE,EAAE,oBAAoBM,EAAEC,EAAE,EAAE,EAAE,mBAAmB,EAAE,iBAAiB,IAAI,EAAE,IAAI,EAAEP,EAAE,kBAAkB,EAAEA,EAAE,gBAAgBA,EAAE,YAAY,CAAC,EAAEA,EAAE,qBAAqBA,EAAE,YAAYA,EAAE,kBAAkBA,EAAE,WAAWE,EAAE,CAAC,EAAE,IAAI,EAAEF,EAAE,uBAAuBA,EAAE,WAAW,IAAIA,EAAE,qBAAqB,OAAOA,EAAE,YAAYA,EAAE,WAAW,IAAI,EAAEA,EAAE,gBAAgBA,EAAE,YAAY,IAAI,EAAEA,EAAE,cAAcE,CAAC,EAAEF,EAAE,kBAAkB,CAAC,EAAE,CAAC,CAAC,SAASuxF,GAAGvxF,EAAE,EAAE,CAAC,IAAIE,EAAE0wF,GAAG5wF,EAAE,CAAC,EAAEM,EAAEN,EAAE,cAAc,EAAEA,EAAE,YAAYA,EAAE,WAAWM,CAAC,EAAE,IAAIC,EAAE,EAAE,EAAE,EAAEP,EAAE,WAAWA,EAAE,WAAW,EAAEE,EAAE,wBAAwBK,EAAE,EAAE,EAAEL,EAAE,mBAAmBA,EAAE,qBAAqB,IAAI,EAAE,IAAI,EAAEF,EAAE,kBAAkB,EAAEA,EAAE,gBAAgBA,EAAE,YAAY,CAAC,EAAEA,EAAE,qBAAqBA,EAAE,YAAYA,EAAE,kBAAkBA,EAAE,WAAWM,EAAE,CAAC,EAAE,IAAI2B,EAAEjC,EAAE,uBAAuBA,EAAE,WAAW,IAAIA,EAAE,qBAAqB,OAAOA,EAAE,YAAYA,EAAE,WAAW,IAAI,EAAEA,EAAE,gBAAgBA,EAAE,YAAY,IAAI,EAAEA,EAAE,cAAcM,CAAC,EAAEN,EAAE,kBAAkB,CAAC,EAAEiC,CAAC,CAAC,SAASktF,GAAGnvF,EAAE,CAAC,OAAOA,IAAI,EAAE,GAAGiwF,GAAGjwF,CAAC,EAAE,WAAW,IAAI,CAAC,SAASmtF,GAAGntF,EAAE,EAAE,CAAC,MAAM,QAAQA,CAAC,IAAIA,EAAE,CAACA,CAAC,GAAGA,EAAE,QAAQE,GAAG,CAACA,GAAG,MAAM2mB,EAAE,OAAO3mB,EAAE,QAAQ,YAAY,IAAI,GAAG,4DAA4D,CAAC,CAAC,CAAC,CAAC,IAAIsxF,GAAG/2E,EAAE,EAAE+2E,GAAG,aAAa,YAAY,IAAIA,GAAG,UAAU,eAAe,EAAE,CAAC,EAAEA,GAAG,aAAa,gBAAgB,IAAIpC,GAAG,CAAC,EAAE,EAAEA,GAAG,CAAC,EAAE,EAAE,CAAC,EAAEoC,GAAG,aAAa,iCAAiC,IAAI,EAAE,EAAEA,GAAG,aAAa,yBAAyB,IAAIA,GAAG,IAAI,eAAe,IAAI,CAAC,EAAEA,GAAG,aAAa,oBAAoB,IAAI,EAAE,EAAEA,GAAG,aAAa,2BAA2B,IAAI,EAAE,EAAEA,GAAG,aAAa,aAAa,IAAIA,GAAG,QAAQ,WAAW,CAAC,EAAEA,GAAG,aAAa,2BAA2B,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,kBAAkB,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,2BAA2B,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,+BAA+B,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,8BAA8B,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,8BAA8B,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,8BAA8B,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,oBAAoB,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,sBAAsB,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,oBAAoB,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,yBAAyB,IAAI1C,GAAG0C,GAAG,UAAU,eAAe,CAAC,CAAC,EAAEA,GAAG,aAAa,+BAA+B,IAAInD,GAAGmD,GAAG,UAAU,eAAe,CAAC,CAAC,EAAEA,GAAG,aAAa,+CAA+C,IAAI,CAAC,IAAIxxF,EAAEwxF,GAAG,UAAU,eAAe,EAAE,OAAOxxF,IAAI,EAAE,EAAE4uF,GAAG5uF,CAAC,CAAC,CAAC,EAAEwxF,GAAG,aAAa,gDAAgD,IAAIA,GAAG,UAAU,8CAA8C,EAAE,GAAG,CAACnmE,GAAG,SAAS,CAAC,EAAEmmE,GAAG,aAAa,+BAA+B,IAAIxC,GAAGwC,GAAG,UAAU,eAAe,CAAC,CAAC,EAAEA,GAAG,aAAa,+BAA+B,IAAIA,GAAG,QAAQ,0BAA0B,EAAE,GAAGA,GAAG,QAAQ,8BAA8B,CAAC,EAAEA,GAAG,aAAa,+BAA+B,IAAIvC,GAAGuC,GAAG,UAAU,eAAe,CAAC,CAAC,EAAEA,GAAG,aAAa,0BAA0B,IAAIrC,GAAGqC,GAAG,UAAU,eAAe,CAAC,CAAC,EAAEA,GAAG,aAAa,4BAA4B,IAAIA,GAAG,QAAQ,8BAA8B,EAAE,EAAE,CAAC,EAAEA,GAAG,aAAa,iCAAiC,IAAI,GAAGxxF,GAAG,CAAC,GAAGA,EAAE,GAAGA,IAAI,GAAG,MAAM,IAAI,MAAM,8FAA8FA,IAAI,CAAC,CAAC,EAAEwxF,GAAG,aAAa,wBAAwB,IAAInmE,GAAG,SAAS,EAAE,EAAE,GAAGrrB,GAAG,CAAC,GAAGA,EAAE,GAAGA,IAAI,GAAG,MAAM,IAAI,MAAM,2FAA2FA,IAAI,CAAC,CAAC,EAAEwxF,GAAG,aAAa,6BAA6B,IAAI,GAAG,EAAEA,GAAG,aAAa,4BAA4B,IAAI,EAAE,EAAEA,GAAG,aAAa,2CAA2C,IAAI,GAAG,EAAEA,GAAG,aAAa,+BAA+B,IAAI,GAAG,EAAEA,GAAG,aAAa,iBAAiB,IAAI,EAAE,EAAEA,GAAG,aAAa,yBAAyB,IAAIA,GAAG,QAAQ,SAAS,CAAC,EAAEA,GAAG,aAAa,oCAAoC,IAAI,EAAE,CAAC,EAAEA,GAAG,aAAa,2CAA2C,IAAI,EAAE,EAAEA,GAAG,aAAa,sBAAsB,IAAI,EAAE,EAAE,SAASC,IAAI,CAAC,IAAIzxF,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAE,OAAOsY,EAAE,EAAE,UAAU,eAAe,IAAI,GAAGza,EAAE,kBAAkB,EAAE,KAAKE,EAAE,MAAMI,EAAE,KAAKC,EAAE,UAAU,EAAE,cAAc,EAAE,wBAAwB0B,EAAEwY,EAAE,EAAE,QAAQ,qBAAqB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAY5nU,GAAGvY,EAAE,GAAGC,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QASRnC,EAAE,GAAG,EAAE,YAAYE,EAAE,UAAUI,EAAE,UAAUC,EAAE,YAAY,EAAE,eAAe,EAAE,GAAG0B,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAQnFC,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MASFC,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,OAQD,CAAC,QAAQnC,EAAE,UAAU,EAAE,UAAUE,EAAE,UAAUI,EAAE,UAAUC,EAAE,OAAO,EAAE,aAAa,EAAE,iBAAiB0B,EAAE,iBAAiBC,EAAE,YAAYC,CAAC,CAAC,CAAC,SAASuvF,GAAG1xF,EAAE,EAAEE,EAAE,QAAQ,CAAC,IAAII,EAAEumB,EAAE,eAAe,CAAC,EAAE,OAAOvmB,EAAE,IAAI,CAACC,EAAE,IAAI,CAAC,IAAI,EAAE,OAAOP,EAAE,QAAQE,OAAOK,IAAI0B,EAAE,IAAI3B,EAAE,OAAO,EAAE,OAAON,EAAE,EAAE,QAAQE,OAAOF,EAAE,QAAQO,IAAI,YAAYP,EAAE,QAAQO,IAAI,MAAM,GAAG,MAAM0B,IAAI,CAAC,EAAE,KAAK,EAAE,CAAC,CAAC,SAAS0vF,GAAG3xF,EAAE,EAAEE,EAAE,QAAQ,CAAC,IAAII,EAAEumB,EAAE,eAAe,CAAC,EAAE,OAAOvmB,EAAE,IAAI,CAACC,EAAE,IAAI,CAAC,IAAI,EAAE,OAAOP,EAAE,QAAQE,uBAAuB,KAAK+B,EAAE,IAAI3B,EAAE,OAAO,EAAE,OAAON,EAAE,EAAE,QAAQE,OAAOF,EAAE,wBAAwB,KAAK,YAAYA,EAAE,wBAAwB,KAAK,MAAM,GAAG,MAAMiC,IAAI,CAAC,EAAE,KAAK,EAAE,CAAC,CAAC,SAAS2vF,GAAG5xF,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,OAAOM,EAAEN,EAAE,IAAI,GAAG,GAAG,KAAK,IAAI,EAAEO,EAAE,IAAI,MAAML,EAAE,CAAC,EAAEK,EAAEL,EAAE,GAAGI,EAAEJ,EAAE,GAAG,QAAQ,EAAEA,EAAE,EAAE,GAAG,EAAE,EAAE,EAAEK,EAAE,GAAG,IAAIA,EAAE,EAAE,QAAQD,EAAE,EAAE,MAAM,OAAOC,CAAC,CAAC,SAASsxF,GAAG7xF,EAAE,EAAEE,EAAE,QAAQ,CAAC,IAAII,EAAEN,EAAE,IAAI,CAAC,EAAE,IAAI,CAAC,EAAEO,EAAEqxF,GAAGtxF,EAAE,CAAC,EAAE,OAAOC,EAAE,IAAI,CAAC,EAAE,IAAI,CAAC,IAAI0B,EAAE,OAAOjC,EAAE,QAAQE,OAAOK,EAAE,KAAK2B,EAAE,IAAI3B,EAAE,OAAO,EAAE,OAAOP,EAAE,EAAE,QAAQE,OAAOF,EAAE,QAAQO,EAAE,KAAK,YAAYP,EAAE,QAAQO,EAAE,KAAK,MAAM,GAAG0B,MAAMC,IAAI,CAAC,EAAE,KAAK,EAAE,CAAC,CAAC,SAAS4vF,GAAG9xF,EAAE,CAAC,IAAI,EAAE6mB,EAAE,eAAe7mB,CAAC,EAAE,IAAIE,GAAGA,EAAE,SAAS,CAAC,EAAE,MAAM;AAAA;AAAA,wBAE9iC,EAAE,mBAAmB,EAAE;AAAA;AAAA,CAE9C,CAAC,SAAS6xF,IAAI,CAAC,MAAM;AAAA;AAAA;AAAA;AAAA,CAIrB,CAAC,IAAIC,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAuCJ,CAAC,iBAAiBC,EAAE,EAAE53C,EAAE,SAAS63C,GAAGlyF,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,CAAC,EAAE,GAAGN,EAAE,QAAQ+C,GAAG,CAAC,IAAIC,EAAE6jB,EAAE,cAAc9jB,EAAE,UAAU,YAAY,EAAE,GAAGA,EAAE,UAAU,UAAUzC,EAAE,KAAK,iBAAiByC,EAAE,OAAOC,EAAE,EAAE,IAAIA,KAAK,KAAK,GAAG1C,EAAE,KAAK,qBAAqByC,EAAE,OAAO,EAAEzC,EAAE,KAAK,qBAAqByC,EAAE,OAAO,GAAG7C,EAAE,oBAAoB,CAAC,GAAG,CAAC,aAAagE,CAAC,EAAEiuF,GAAGjyF,EAAE,aAAa6C,EAAE,UAAU,aAAaA,EAAE,UAAU,QAAQ,EAAE,OAAOmB,EAAE,OAAO,CAAC,IAAK,GAAE5D,EAAE,KAAK,eAAeyC,EAAE,YAAY,EAAE,MAAM,IAAK,GAAEzC,EAAE,KAAK,iBAAiByC,EAAE,YAAY,EAAE,MAAM,IAAK,GAAEzC,EAAE,KAAK,iBAAiByC,EAAE,YAAY,EAAE,MAAM,IAAK,GAAEzC,EAAE,KAAK,iBAAiByC,EAAE,YAAY,EAAE,MAAM,QAAQ,KAAK,CAACzC,EAAE,KAAK,iBAAiByC,EAAE,eAAe,CAAC,CAAC,CAAC,EAAE7C,EAAE,oBAAoB,CAAC,OAAO,EAAE,aAAa,OAAO,CAAC,IAAK,GAAEI,EAAE,KAAK,uBAAuB,EAAE,MAAM,IAAK,GAAEA,EAAE,KAAK,yBAAyB,EAAEA,EAAE,KAAK,8BAA8B,EAAE,MAAM,IAAK,GAAEA,EAAE,KAAK,yBAAyB,EAAEA,EAAE,KAAK,gCAAgC,EAAE,MAAM,IAAK,GAAEA,EAAE,KAAK,yBAAyB,EAAEA,EAAE,KAAK,gCAAgC,EAAE,MAAM,QAAQ,KAAK,CAACA,EAAE,KAAK,4BAA4B,CAAC,CAACJ,EAAE,gBAAgBA,EAAE,eAAe,QAAQ6C,GAAG,CAACzC,EAAE,KAAK,WAAWyC,EAAE,QAAQA,EAAE,OAAOA,EAAE,WAAW,IAAIA,EAAE,cAAc,KAAK,CAAC,CAAC,EAAE,IAAIxC,EAAED,EAAE,KAAK;AAAA,CACxsC,EAAE,EAAEN,EAAE,IAAI+C,GAAGqvF,GAAIrvF,EAAE,EAAE7C,EAAE,aAAaA,EAAE,mBAAmB,CAAC,EAAE,KAAK;AAAA,CACjE,EAAE,EAAE,EAAE,SAAS+B,EAAEwvF,GAAG,EAAEvvF,EAAEmwF,GAAIpwF,CAAC,EAAEE,EAAES,EAAEC,EAAEyvF,GAAIrwF,CAAC,EAAE,OAAO,EAAE,UAAUE,EAAEowF,GAAI,EAAE,aAAa,EAAEryF,EAAE,mBAAmB,EAAE0C,EAAE4vF,GAAIvwF,CAAC,IAAIE,EAAEswF,GAAI,EAAE,aAAa,EAAEvyF,EAAE,mBAAmB,EAAE0C,EAAE8vF,GAAIzwF,CAAC,GAAG/B,EAAE,eAAe2C,GAAG8vF,IAAK,CAAC9vF,EAAEX,EAAEU,EAAErC,EAAE4B,EAAE,EAAEjC,EAAE,QAAQ,EAAE,KAAK;AAAA,CACvO,CAAC,CAAC,SAAS0yF,GAAG5yF,EAAE,EAAE,GAAG,CAAC,IAAIE,EAAEF,EAAE,UAAU,aAAa,OAAOE,EAAE,OAAO,CAAC,IAAK,GAAE,OAAO2yF,GAAI7yF,EAAE,CAAC,EAAE,IAAK,GAAE,OAAO8yF,GAAI9yF,EAAE,CAAC,EAAE,IAAK,GAAE,OAAO+yF,GAAI/yF,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOgzF,GAAIhzF,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOizF,GAAIjzF,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOkzF,GAAIlzF,CAAC,EAAE,IAAK,GAAE,OAAOmzF,GAAInzF,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,GAAGE,EAAE,8CAA8C,CAAC,CAAC,CAAC,SAASkzF,GAAGpzF,EAAE,EAAE,CAAC,OAAOA,EAAE,UAAU,aAAa,OAAO,CAAC,IAAK,GAAE,OAAOqzF,GAAIrzF,CAAC,EAAE,IAAK,GAAE,OAAOszF,GAAItzF,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOuzF,GAAIvzF,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOwzF,GAAIxzF,EAAE,CAAC,EAAE,QAAQ,OAAOyzF,GAAIzzF,EAAE,CAAC,CAAC,CAAC,CAAC,SAASoyF,GAAIpyF,EAAE,EAAEE,EAAE,GAAGI,EAAE,CAAC,IAAIC,EAAE,GAAGL,EAAEK,GAAG6yF,GAAGpzF,EAAEM,CAAC,EAAEC,GAAGqyF,GAAG5yF,EAAEM,CAAC,EAAE,IAAI,EAAEN,EAAE,UAAU,aAAa,EAAE,EAAE,aAAa,OAAO,EAAE,QAAQ,EAAE,SAASE,EAAEK,GAAGmzF,GAAI1zF,EAAE,CAAC,EAAEO,GAAGozF,GAAI3zF,EAAE,CAAC,GAAGO,CAAC,CAAC,SAASgyF,GAAIvyF,EAAE,EAAEE,EAAE,CAAC,OAAOF,EAAE,OAAO,CAAC,IAAK,GAAE,OAAO4zF,GAAG,EAAE,IAAK,GAAE,OAAOC,GAAI7zF,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAO4zF,GAAI9zF,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAO6zF,GAAI/zF,EAAE,EAAEE,CAAC,EAAE,QAAQ,OAAO8zF,GAAIh0F,EAAE,EAAEE,CAAC,CAAC,CAAC,CAAC,SAASuyF,GAAIzyF,EAAE,EAAEE,EAAE,CAAC,OAAOF,EAAE,OAAO,CAAC,IAAK,GAAE,OAAO4zF,GAAG,EAAE,IAAK,GAAE,OAAOK,GAAIj0F,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOg0F,GAAIl0F,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOi0F,GAAIn0F,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOk0F,GAAIp0F,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOm0F,GAAIr0F,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOs0F,GAAIt0F,EAAE,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,GAAGA,EAAE,+CAA+C,CAAC,CAAC,CAAC,SAASqyF,GAAIryF,EAAE,CAAC,MAAM;AAAA;AAAA,eAE/jCA,EAAE;AAAA;AAAA,GAEd,CAAC,SAAS0yF,GAAI1yF,EAAE,CAAC,MAAM;AAAA;AAAA,QAElBA,EAAE;AAAA;AAAA,GAEP,CAAC,SAASwyF,GAAIxyF,EAAE,CAAC,MAAM;AAAA;AAAA,QAElBA,EAAE;AAAA;AAAA,GAEP,CAAC,SAASsyF,GAAItyF,EAAE,CAAC,MAAM,GAAGA,EAAE;AAAA;AAAA;AAAA;AAAA,MAIzBA,EAAE;AAAA,MACFA,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAuBFA,EAAE;AAAA,MACFA,EAAE;AAAA,MACFA,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAyBFu0F;AAAA,MACAC;AAAA,MACAC;AAAA,GACH,CAAC,IAAIF,GAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAYVC,GAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQJC,GAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EASJ9B,GAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAWJ,SAASiB,IAAI,CAAC,MAAM;AAAA;AAAA;AAAA;AAAA,GAInB,CAAC,SAASC,GAAI7zF,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,CAAC,KAAK,KAAK,EAAE,GAAG,CAAC,EAAE,KAAK,KAAK,EAAE,GAAG,CAAC,CAAC,EAAE,OAAOA,EAAE,KAAK,EAAEJ,EAAE;AAAA;AAAA;AAAA;AAAA,MAIhF;AAAA;AAAA,sCAEgCI,EAAE;AAAA;AAAA,MAElCA,EAAE,KAAK,EAAEJ,EAAE;AAAA;AAAA;AAAA;AAAA,MAIX;AAAA;AAAA,sCAEgCI,EAAE;AAAA;AAAA,MAElCJ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IAOJ;AAAA;AAAA;AAAA,oCAGgCI,EAAE,OAAOA,EAAE;AAAA,iCACdA,EAAE;AAAA;AAAA,GAEhC,CAAC,SAAS2zF,GAAIj0F,EAAE,EAAEE,EAAE,CAAC,OAAO,EAAE,KAAK,EAAEA,EAAE;AAAA;AAAA;AAAA;AAAA,MAIpC;AAAA;AAAA,kCAE4B,EAAE;AAAA;AAAA,MAE9B,EAAE,KAAK,EAAEA,EAAE;AAAA;AAAA;AAAA;AAAA,MAIX;AAAA;AAAA,kCAE4B,EAAE;AAAA;AAAA,MAE9BA,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IAMJ;AAAA;AAAA;AAAA,oCAGgC,EAAE,OAAO,EAAE;AAAA,4BACnB,EAAE;AAAA;AAAA,GAE3B,CAAC,SAAS6zF,GAAI/zF,EAAE,EAAEE,EAAE,CAAC,GAAGA,EAAE,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IAiB/B,IAAII,EAAE,CAAC,KAAK,KAAK,EAAE,GAAG,CAAC,EAAE,KAAK,KAAK,EAAE,GAAG,CAAC,CAAC,EAAEC,EAAE,KAAK,KAAKP,EAAE,GAAG,CAAC,EAAE,EAAEO,EAAE,KAAK,KAAKP,EAAE,GAAG,CAAC,EAAE,MAAM;AAAA;AAAA;AAAA,oCAG5DM,EAAE,OAAOA,EAAE;AAAA,iCACdA,EAAE;AAAA;AAAA,wBAEX;AAAA,qBACH;AAAA;AAAA,6BAEQC;AAAA,4BACDA;AAAA;AAAA;AAAA;AAAA,GAIzB,CAAC,SAAS4zF,GAAIn0F,EAAE,EAAEE,EAAE,CAAC,GAAGA,EAAE,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA,MAK7ByxF,GAAG,CAAC,IAAI,IAAI,GAAG,EAAE3xF,CAAC;AAAA;AAAA;AAAA,EAGtB,IAAIM,EAAEoxF,GAAG,CAAC,IAAI,IAAI,GAAG,EAAE1xF,CAAC,EAAE,MAAM;AAAA;AAAA;AAAA,oCAGE,EAAE,OAAO,EAAE;AAAA,iCACd,EAAE;AAAA,QAC3BM;AAAA;AAAA;AAAA,GAGL,CAAC,SAAS0zF,GAAIh0F,EAAE,EAAEE,EAAE,CAAC,GAAGA,EAAE,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IAsB/B,IAAII,EAAE,CAAC,KAAK,KAAK,EAAE,GAAG,CAAC,EAAE,KAAK,KAAK,EAAE,GAAG,CAAC,CAAC,EAAEC,EAAE,KAAK,KAAKP,EAAEA,EAAE,OAAO,GAAG,CAAC,EAAE,EAAEO,EAAE,KAAK,KAAKP,EAAEA,EAAE,OAAO,GAAG,CAAC,EAAE,EAAE,EAAEiC,EAAE,GAAGC,EAAE,UAAU,QAAQC,EAAE,EAAEA,EAAEnC,EAAE,OAAO,EAAEmC,IAAI,GAAGnC,EAAEA,EAAE,OAAOmC,EAAE,GAAGF,EAAE;AAAA,aACtKE,eAAe;AAAA,kBACVA,OAAO;AAAA,MACnBF,EAAEC,EAAE,IAAIC,MAAMD,EAAE,MAAM;AAAA,UAClBlC,EAAE;AAAA;AAAA,oCAEwBM,EAAE,OAAOA,EAAE;AAAA,iCACdA,EAAE;AAAA;AAAA,QAE3B2B;AAAA;AAAA,wBAEgB;AAAA,qBACH;AAAA;AAAA,6BAEQ1B;AAAA,4BACDA;AAAA;AAAA,mBAETP,EAAE,UAAUkC;AAAA;AAAA,GAE5B,CAAC,SAASkyF,GAAIp0F,EAAE,EAAEE,EAAE,CAAC,GAAGA,EAAE,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA,QAK3ByxF,GAAG,CAAC,IAAI,IAAI,IAAI,IAAI,EAAE3xF,CAAC;AAAA;AAAA;AAAA,IAG3B,IAAIM,EAAEoxF,GAAG,CAAC,IAAI,IAAI,IAAI,IAAI,EAAE1xF,CAAC,EAAE,MAAM;AAAA;AAAA;AAAA,eAG1B,EAAE,OAAO,EAAE;AAAA,iCACO,EAAE;AAAA,QAC3BM;AAAA;AAAA;AAAA,GAGL,CAAC,SAAS+zF,GAAIr0F,EAAE,EAAE,CAAC,IAAIE,EAAEwxF,GAAG,CAAC,IAAI,IAAI,IAAI,KAAK,IAAI,EAAE1xF,CAAC,EAAE,MAAM;AAAA;AAAA,kDAEd,EAAE;AAAA,+BACrB,EAAE;AAAA;AAAA,iCAEA,EAAE;AAAA;AAAA,QAE3BE;AAAA;AAAA;AAAA;AAAA;AAAA,GAKL,CAAC,SAASo0F,GAAIt0F,EAAE,EAAE,CAAC,IAAIE,EAAEwxF,GAAG,CAAC,IAAI,IAAI,IAAI,KAAK,KAAK,IAAI,EAAE1xF,CAAC,EAAE,MAAM;AAAA;AAAA;AAAA,eAGtD,EAAE,OAAO,EAAE;AAAA,iCACO,EAAE;AAAA;AAAA,QAE3BE;AAAA;AAAA;AAAA;AAAA;AAAA,GAKL,CAAC,SAAS4zF,GAAI9zF,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,CAAC,KAAK,KAAK,EAAE,GAAG,CAAC,EAAE,KAAK,KAAK,EAAE,GAAG,CAAC,CAAC,EAAE,GAAGumB,EAAE,YAAY7mB,EAAE,CAAC,EAAE,OAAOE,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,MAK7F;AAAA;AAAA,8CAEwCI,EAAE,OAAOA,EAAE;AAAA;AAAA,MAEnD,IAAIC,EAAE,KAAK,KAAKP,EAAE,GAAG,CAAC,EAAE,OAAOE,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IAanC;AAAA;AAAA;AAAA,oCAGgCI,EAAE,OAAOA,EAAE;AAAA;AAAA,iCAEdA,EAAE;AAAA,6BACNC;AAAA,4BACDA;AAAA;AAAA;AAAA;AAAA,GAIzB,CAAC,SAAS2zF,GAAIl0F,EAAE,EAAEE,EAAE,CAAC,OAAO2mB,EAAE,YAAY7mB,EAAE,CAAC,EAAEE,EAAE;AAAA;AAAA;AAAA;AAAA,MAI9C;AAAA;AAAA,0CAEoC,EAAE,OAAO,EAAE;AAAA;AAAA,MAE/CF,EAAE,KAAK,EAAEE,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAOX;AAAA;AAAA;AAAA,sCAGgC,EAAE,OAAO,EAAE;AAAA,mCACd,EAAE;AAAA;AAAA;AAAA,MAG/BF,EAAE,KAAK,EAAEE,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAOX;AAAA;AAAA;AAAA,sCAGgC,EAAE,OAAO,EAAE;AAAA,mCACd,EAAE;AAAA;AAAA;AAAA,MAG/BA,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IASJ;AAAA;AAAA;AAAA,oCAGgC,EAAE,OAAO,EAAE;AAAA,iCACd,EAAE;AAAA,wBACXF,EAAE;AAAA,4BACEA,EAAE;AAAA;AAAA;AAAA,GAG3B,CAAC,SAAS00F,GAAG10F,EAAE,CAAC,MAAM,SAASA,GAAG,CAAC,SAASqzF,GAAIrzF,EAAE,CAAC,IAAI,EAAEA,EAAE,KAAKE,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE,YAAY,EAAE,EAAE,MAAM,CAAC,EAAEI,EAAEmxF,GAAG,EAAE,MAAM;AAAA,WAClHvxF;AAAA,eACII,EAAE,aAAa;AAAA;AAAA,GAE3B,CAAC,SAASuyF,GAAI7yF,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,KAAKM,EAAE,MAAMJ,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,GAAGF,EAAE,UAAU,UAAU,MAAM,SAASM,eAAeJ,MAAM,GAAG,CAACK,EAAE,CAAC,EAAEP,EAAE,UAAU,SAAS,GAAGO,IAAI,GAAG,IAAI,EAAE,MAAM;AAAA,cACnLD;AAAA,+BACiBJ;AAAA;AAAA,MAEzB,IAAI,EAAEw0F,GAAGx0F,CAAC,EAAE,GAAG,EAAE,MAAM;AAAA,YACjBI;AAAA,6BACiBJ,iBAAiBA,iBAAiB;AAAA,6BAClCA;AAAA;AAAA,IAEzB,GAAG,CAAC+B,EAAEC,CAAC,EAAElC,EAAE,UAAU,SAAS,MAAM;AAAA,YAC5BM;AAAA,6BACiB2B,MAAMC,MAAM;AAAA,6BACZhC;AAAA;AAAA,GAE1B,CAAC,SAASozF,GAAItzF,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,KAAKM,EAAE,MAAMJ,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAEK,EAAEP,EAAE,UAAU,SAAS,EAAEyxF,GAAG,EAAE,GAAG,EAAE,MAAM;AAAA,WAC9GnxF;AAAA,gDACqCJ,oCAAoCA;AAAA;AAAA;AAAA,eAGrE,EAAE,aAAaA;AAAA;AAAA,IAE1B,IAAI,EAAE,CAAC,KAAK,KAAKK,EAAE,GAAG,CAAC,EAAE,KAAK,KAAKA,EAAE,GAAG,CAAC,CAAC,EAAE,MAAM;AAAA,WAC3CD;AAAA;AAAA,UAED,EAAE,OAAO,EAAE;AAAA,eACN,EAAE,aAAaJ;AAAA;AAAA,GAE3B,CAAC,SAAS4yF,GAAI9yF,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,KAAKM,EAAE,MAAMJ,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,GAAGF,EAAE,UAAU,UAAU,MAAM;AAAA,cACjGM;AAAA,UACJq0F,GAAG30F,CAAC;AAAA;AAAA,MAER,IAAIO,EAAEP,EAAE,UAAU,SAAS,EAAEO,EAAE,GAAG,EAAEA,EAAE,GAAG,GAAG,IAAI,GAAG,IAAI,EAAE,MAAM;AAAA,cACvDD;AAAA,+BACiBJ;AAAA;AAAA,MAEzB,IAAI+B,EAAEyyF,GAAGx0F,CAAC,EAAE,OAAO,IAAI,EAAE,EAAE;AAAA,cACnBI;AAAA,6CAC+B2B,qBAAqB/B;AAAA,+BACnCA;AAAA;AAAA,MAEzB;AAAA,cACQI;AAAA,6CAC+B2B,eAAe;AAAA,+BAC7B/B;AAAA;AAAA,MAEzB,IAAI,EAAE,EAAE;AAAA,cACAI;AAAA,wCAC0B2B,qBAAqB/B;AAAA,+BAC9BA;AAAA;AAAA,MAEzB;AAAA,cACQI;AAAA,wCAC0B2B,eAAe;AAAA,+BACxB/B;AAAA;AAAA,MAEzB,EAAE;AAAA,YACII;AAAA,6BACiBJ,iBAAiBA,yBAAyB+B;AAAA,6BAC1C/B;AAAA;AAAA,IAEzB;AAAA,YACQI;AAAA,6BACiB,MAAM,cAAc2B;AAAA,6BACpB/B;AAAA;AAAA,GAE1B,CAAC,SAASqzF,GAAIvzF,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,UAAU,aAAaM,EAAEN,EAAE,KAAKO,EAAE,MAAMD,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAEN,EAAE,UAAU,SAAS,EAAE,EAAE,GAAGiC,EAAE,EAAE,GAAGC,EAAEuvF,GAAG,EAAE,GAAG,GAAG,MAAM5qE,EAAE,YAAY3mB,EAAE,CAAC,EAAE,OAAO,EAAE;AAAA,aAClLK;AAAA,qDACwCD,iBAAiBA;AAAA;AAAA,iBAErD4B,EAAE,aAAa5B;AAAA;AAAA,MAE1B;AAAA,aACOC;AAAA,qDACwC0B,QAAQ;AAAA;AAAA,iBAE5CC,EAAE,aAAa5B;AAAA;AAAA,MAE1B,GAAG,EAAE,MAAM;AAAA,WACNC;AAAA,gDACqCD,oCAAoCA;AAAA,0CAC1CA;AAAA;AAAA,eAE3B4B,EAAE,aAAa5B;AAAA;AAAA,IAE1B,IAAI6B,EAAE,CAAC,KAAK,KAAK,EAAE,GAAG,CAAC,EAAE,KAAK,KAAK,EAAE,GAAG,CAAC,CAAC,EAAES,EAAE,KAAK,KAAK1C,EAAE,GAAG,CAAC,EAAE,MAAM;AAAA,WAC/DK;AAAA,iCACsBqC,MAAMT,EAAE,OAAOA,EAAE;AAAA,eACnCD,EAAE,aAAa5B;AAAA;AAAA,GAE3B,CAAC,SAASyyF,GAAI/yF,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,UAAU,aAAaM,EAAEN,EAAE,KAAKO,EAAE,MAAMD,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAEN,EAAE,UAAU,SAAS,GAAG,GAAG,MAAM6mB,EAAE,YAAY3mB,EAAE,CAAC,EAAE,CAAC,GAAG,EAAE,MAAM;AAAA,cAC/JK;AAAA,qDACuCD,iBAAiBA;AAAA,+BACvCA;AAAA;AAAA,MAEzB,IAAIwC,EAAE,EAAE,GAAGC,EAAE,EAAE,GAAG,MAAM;AAAA,YAClBxC;AAAA,mDACuCwC,QAAQD;AAAA,6BAC9BxC;AAAA;AAAA,GAE1B,CAAC,GAAG,CAAC,SAAS,EAAE,SAAS2B,CAAC,EAAE4kB,EAAE,aAAa3mB,CAAC,EAAEgC,EAAE,EAAE,GAAGA,EAAE,OAAOhC,EAAE,OAAO,CAAC,IAAI4C,EAAE8xF,GAAG50F,EAAEkC,CAAC,EAAEa,EAAE,CAAC,MAAM,KAAK,EAAE,MAAM;AAAA,QACvG6vF,GAAG9vF,EAAE,CAAC;AAAA,cACAvC;AAAA,iBACGA,KAAKs0F,GAAG9xF,EAAEd,CAAC;AAAA;AAAA,KAEvB,CAAC,GAAGjC,EAAE,UAAU,UAAU,MAAM;AAAA,cACvBO;AAAA,qDACuCL,EAAE;AAAA,UAC7Cy0F,GAAG30F,CAAC;AAAA;AAAA,MAER,IAAImC,EAAE,EAAE,GAAGS,EAAE,EAAE,GAAGC,EAAE6xF,GAAGp0F,CAAC,EAAE,OAAOsC,IAAI,EAAE,EAAE;AAAA,cACjCrC;AAAA,2CAC6BsC,YAAYvC;AAAA,oDACHA;AAAA,+BACrBA;AAAA;AAAA,MAEzB;AAAA,YACMC;AAAA,yCAC6BsC,YAAY3C,EAAE;AAAA,4CACXiC;AAAA,6BACf7B;AAAA;AAAA,IAEzB6B,IAAI,EAAE,EAAE;AAAA,cACE5B;AAAA,2CAC6BsC,YAAYvC;AAAA,+CACRA;AAAA,+BAChBA;AAAA;AAAA,MAEzB;AAAA,YACMC;AAAA,yCAC6BsC,YAAY3C,EAAE;AAAA,uCAChB0C;AAAA,6BACVtC;AAAA;AAAA,IAEzB,EAAE;AAAA,cACQC;AAAA;AAAA,4BAEcD,qBAAqBuC;AAAA,+BAClBvC,iBAAiBA;AAAA,+BACjBA;AAAA;AAAA,MAEzB;AAAA,UACIC;AAAA;AAAA,wBAEcL,EAAE,cAAc2C;AAAA,2BACbV,MAAMS;AAAA,2BACNtC;AAAA;AAAA,CAE1B,CAAC,SAASkzF,GAAIxzF,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,UAAU,aAAaM,EAAEN,EAAE,KAAKO,EAAE,MAAMD,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAEN,EAAE,UAAU,SAAS,EAAE,CAAC,KAAK,KAAK,EAAE,GAAG,CAAC,EAAE,KAAK,KAAK,EAAE,GAAG,CAAC,CAAC,EAAE,GAAGE,EAAE,KAAK,EAAE,CAAC,IAAI4C,EAAE5C,EAAE,MAAM,CAAC,EAAE6C,EAAE,CAAC,EAAE,CAAC,EAAEC,EAAE4xF,GAAG50F,EAAE8C,CAAC,EAAEoB,EAAE,CAAC,IAAI,MAAM,KAAK,EAAE,MAAM;AAAA,UACxOkvF,GAAGpwF,EAAE,CAAC;AAAA,eACDzC;AAAA,mBACIA,KAAKs0F,GAAG3wF,EAAEnB,CAAC;AAAA;AAAA,OAEvB,CAAC,IAAId,EAAEwvF,GAAG,EAAE,GAAG,EAAE,MAAM;AAAA,WACnBlxF;AAAA,gDACqCD,oCAAoCA;AAAA,0CAC1CA;AAAA,0DACgBA;AAAA;AAAA;AAAA,eAG3C2B,EAAE,aAAa3B;AAAA;AAAA,IAE1B,IAAI4B,EAAE,EAAE,GAAGC,EAAE,EAAE,GAAGS,EAAE,KAAK,KAAK1C,EAAE,GAAG,CAAC,EAAE2C,EAAED,EAAE,KAAK,KAAK1C,EAAE,GAAG,CAAC,EAAE,MAAM;AAAA,WAC3DK;AAAA;AAAA,UAED2B,MAAMC,MAAMU,MAAMD;AAAA,eACbX,EAAE,aAAa3B;AAAA;AAAA,GAE3B,CAAC,SAAS0yF,GAAIhzF,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,UAAU,aAAaM,EAAEN,EAAE,KAAKO,EAAE,MAAMD,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAEJ,EAAE,GAAGA,EAAE,GAAG,EAAEA,EAAE,GAAG,CAAC,SAAS+B,EAAE,SAASC,CAAC,EAAE2kB,EAAE,aAAa3mB,CAAC,EAAEiC,EAAEF,EAAE,GAAGE,EAAE,OAAOjC,EAAE,OAAO,CAAC,IAAIgE,EAAE0wF,GAAG50F,EAAEmC,CAAC,EAAE,EAAE,CAAC,MAAM,MAAM,OAAO,EAAE,MAAM;AAAA,UACpOywF,GAAG1uF,EAAE,CAAC;AAAA,gBACA3D;AAAA,mBACGA,KAAKs0F,GAAG,EAAE3yF,CAAC;AAAA;AAAA,OAEvB,CAAC,GAAGlC,EAAE,UAAU,UAAU,MAAM;AAAA,cACzBO;AAAA;AAAA,iCAEmB,MAAM;AAAA,UAC7Bo0F,GAAG30F,CAAC;AAAA;AAAA,MAER,IAAI4C,EAAE5C,EAAE,UAAU,SAAS6C,EAAED,EAAE,GAAGE,EAAEF,EAAE,GAAGG,EAAE/C,EAAE,UAAU,WAAW,GAAG8C,IAAI,GAAGC,GAAG,KAAK,OAAO,EAAE;AAAA,cACrFxC;AAAA,wBACUD;AAAA;AAAA;AAAA;AAAA,0BAIEA,iBAAiBA;AAAA,+BACZA;AAAA;AAAA,MAEzB;AAAA,gBACUC;AAAA;AAAA,oDAEoC;AAAA;AAAA,4BAExBuC,QAAQD;AAAA,iCACHvC;AAAA;AAAA,QAEzB,GAAGwC,IAAI,GAAGC,GAAG,KAAK,OAAO,EAAE;AAAA,cACrBxC;AAAA,gDACkCD;AAAA;AAAA,uDAEOA,iBAAiBA;AAAA,+BACzCA;AAAA;AAAA,MAEzB;AAAA,YACMC;AAAA,8CACkCL,EAAE;AAAA;AAAA,qDAEK4C,QAAQD;AAAA,6BAChCvC;AAAA;AAAA,IAEzB,IAAI0C,EAAE0xF,GAAGp0F,CAAC,EAAE,OAAO,EAAE;AAAA,YACbC;AAAA;AAAA,sBAEUD,eAAeA;AAAA,sBACfA;AAAA,4DACsC0C;AAAA,6BAC/B1C,iBAAiBA;AAAA,6BACjBA;AAAA;AAAA,MAEvB;AAAA,cACQC;AAAA;AAAA,4BAEc,aAAa,eAAeyC;AAAA,+BACzBH,MAAMC;AAAA,+BACNxC;AAAA;AAAA,GAE5B,CAAC,SAASmzF,GAAIzzF,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,KAAKM,EAAE,MAAMJ,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAEK,EAAEkxF,GAAG,EAAE,GAAG,EAAE,MAAM;AAAA,WACvFnxF;AAAA,0CAC+BJ;AAAA,0DACgBA;AAAA;AAAA,yBAEjCA;AAAA;AAAA,gDAEuBA,oCAAoCA;AAAA;AAAA;AAAA,mGAGeK,EAAE,aAAaL;AAAA;AAAA,IAE9G,IAAI,EAAEF,EAAE,UAAU,aAAa,EAAE,EAAE,OAAOiC,EAAEjC,EAAE,UAAU,SAASkC,EAAE,CAAC,KAAK,KAAKD,EAAE,GAAG,CAAC,EAAE,KAAK,KAAKA,EAAE,GAAG,CAAC,CAAC,EAAEE,EAAED,EAAE,GAAGU,EAAEV,EAAE,GAAGW,EAAE,KAAK,KAAK,EAAE,EAAE,GAAG,CAAC,EAAEC,EAAED,EAAE,KAAK,KAAK,EAAE,EAAE,GAAG,CAAC,EAAEE,EAAE,0BAA0BC,EAAE,OAAOF,mBAAmBD,gBAAgB,QAAQqB,EAAE,EAAEA,EAAE,EAAE,EAAEA,IAAInB,EAAE,QAAQmB,MAAMnB,EAAED,GAAG,EAAE,EAAEoB,EAAE,GAAGlB,EAAE,IAAIkB,OAAOpB,OAAOE,EAAE,MAAM;AAAA,WACtT1C,KAAKyC;AAAA,oBACIC;AAAA,2BACOJ;AAAA,kCACOA;AAAA,qDACmBA,MAAMT;AAAA,eAC5C5B,EAAE,aAAaL;AAAA;AAAA,GAE3B,CAAC,SAAS+yF,GAAIjzF,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,UAAU,aAAaM,EAAEN,EAAE,KAAKO,EAAE,MAAMD,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAEJ,EAAE,GAAG,EAAEA,EAAE,GAAG,EAAE+B,EAAE/B,EAAE,GAAG,EAAE,CAAC,SAASgC,EAAE,SAASC,CAAC,EAAE0kB,EAAE,aAAa3mB,CAAC,EAAE,GAAGgC,EAAE,OAAOhC,EAAE,OAAO,CAAC,IAAI6E,EAAE6vF,GAAG50F,EAAEkC,CAAC,EAAEyC,EAAE,CAAC,MAAM,MAAM,QAAQ,QAAQ,EAAE,MAAM;AAAA,QACjPiuF,GAAG7tF,EAAE,CAAC;AAAA,cACAxE;AAAA,iBACGA,KAAKs0F,GAAGlwF,EAAExC,CAAC;AAAA;AAAA,KAEvB,CAAC,GAAGnC,EAAE,UAAU,UAAU,MAAM;AAAA,cACvBO;AAAA;AAAA,iCAEmB0B,MAAM,MAAM;AAAA,UACnC0yF,GAAG30F,CAAC;AAAA;AAAA,MAER,IAAI4C,EAAE5C,EAAE,UAAU,WAAW6C,EAAE7C,EAAE,UAAU,SAAS8C,EAAED,EAAE,GAAGE,EAAEF,EAAE,GAAGG,EAAE,iBAAiB1C,aAAa4D,EAAE,iBAAiB5D,uBAAuB,EAAE,iBAAiBA,uBAAuB,GAAGyC,IAAId,GAAGW,GAAG,KAAK,OAAO,EAAE;AAAA,cACzMrC;AAAA,UACJyC;AAAA,UACAkB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0BAMgB5D,iBAAiBA;AAAA,+BACZA;AAAA;AAAA,MAEzB;AAAA,cACQC;AAAA;AAAA;AAAA;AAAA,uBAIS,MAAM;AAAA;AAAA,0BAEHwC,QAAQD;AAAA,+BACHxC;AAAA;AAAA,MAEzB,GAAGyC,IAAI,GAAGH,GAAG,KAAK,OAAO,EAAE;AAAA,cACnBrC;AAAA;AAAA,gCAEkBD,eAAeA,cAAcA;AAAA;AAAA;AAAA,yBAGpCA,iBAAiBA;AAAA,+BACXA;AAAA;AAAA,MAEzB;AAAA,cACQC;AAAA;AAAA,gCAEkBL,EAAE,GAAGA,EAAE,OAAOA,EAAE;AAAA;AAAA;AAAA,yBAGvB6C,QAAQD;AAAA,+BACFxC;AAAA;AAAA,MAEzB,IAAIiH,EAAEmtF,GAAGp0F,CAAC,EAAE,OAAO,EAAE;AAAA,YACfC;AAAA;AAAA,QAEJyC;AAAA,QACAkB;AAAA,QACA;AAAA;AAAA;AAAA,6BAGqB5D,iBAAiBA,yBAAyBiH;AAAA,6BAC1CjH;AAAA;AAAA,IAEzB;AAAA,YACQC;AAAA;AAAA,0BAEc0B,aAAa;AAAA,oBACnB;AAAA,6BACSa,MAAMC,cAAcwE;AAAA,6BACpBjH;AAAA;AAAA,GAE1B,CAAC,SAAS4yF,GAAIlzF,EAAE,CAAC,IAAI,EAAEA,EAAE,UAAU,aAAaE,EAAEF,EAAE,KAAKM,EAAE,MAAMJ,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAEK,EAAE,EAAE,GAAG,EAAE,EAAE,GAAGA,EAAE,EAAE,EAAE,GAAG,EAAE0B,EAAE,EAAE,GAAG,EAAE,CAAC,SAASC,EAAE,SAASC,CAAC,EAAE0kB,EAAE,aAAa,CAAC,EAAE,GAAG3kB,EAAE,OAAO,EAAE,OAAO,CAAC,IAAIgC,EAAE0wF,GAAG50F,EAAEkC,CAAC,EAAE,EAAE,CAAC,MAAM,MAAM,QAAQ,SAAS,QAAQ,EAAE,MAAM;AAAA,QACjQ0wF,GAAG1uF,CAAC;AAAA,cACE5D;AAAA,iBACGA,KAAKu0F,GAAG,EAAE1yF,CAAC;AAAA;AAAA,KAEvB,CAAC,GAAGnC,EAAE,UAAU,UAAU,MAAM;AAAA,cACvBM;AAAA;AAAA;AAAA,iBAGG2B,MAAM,MAAM,MAAM1B;AAAA;AAAA,UAEzBo0F,GAAG30F,CAAC;AAAA;AAAA,MAER,IAAI4C,EAAE5C,EAAE,UAAU,WAAW6C,EAAE7C,EAAE,UAAU,SAAS8C,EAAED,EAAE,GAAGE,EAAEF,EAAE,GAAG,GAAGE,IAAId,GAAGW,GAAG,KAAK,MAAM;AAAA,cAClFtC;AAAA;AAAA;AAAA,gCAGkB,MAAM,MAAMC;AAAA;AAAA,0BAElBwC,QAAQD;AAAA,+BACH5C;AAAA;AAAA,MAEzB,GAAG6C,IAAIxC,GAAGqC,GAAG,KAAK,MAAM;AAAA,cAChBtC;AAAA;AAAA;AAAA,iBAGG,EAAE,GAAG,EAAE,GAAG,EAAE;AAAA,iBACZ,EAAE,GAAG,EAAE,OAAO,EAAE;AAAA;AAAA;AAAA,yBAGRyC,QAAQD;AAAA,+BACF5C;AAAA;AAAA,MAEzB,IAAI8C,EAAE0xF,GAAGx0F,CAAC,EAAE,MAAM;AAAA,YACZI;AAAA;AAAA,0BAEc2B,aAAa,eAAe;AAAA,qBACjC1B,gBAAgByC;AAAA,6BACRF,MAAMC;AAAA,6BACN7C;AAAA;AAAA,GAE1B,CAAC,SAASizF,GAAInzF,EAAE,CAAC,IAAI,EAAEA,EAAE,UAAU,aAAaE,EAAEF,EAAE,KAAKM,EAAE,MAAMJ,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,CAAC,SAASK,EAAE,SAAS,CAAC,EAAEsmB,EAAE,aAAa,CAAC,EAAE,GAAGtmB,EAAE,OAAO,EAAE,OAAO,CAAC,IAAI,EAAEq0F,GAAG50F,EAAEO,CAAC,EAAEgH,EAAE,CAAC,MAAM,MAAM,QAAQ,SAAS,SAAS,QAAQ,EAAE,MAAM;AAAA,QACxOqrF,GAAG,CAAC;AAAA,cACEtyF;AAAA;AAAA,iBAEGA,KAAKu0F,GAAGttF,EAAE,CAAC;AAAA;AAAA,KAEvB,CAAC,IAAI,EAAE,EAAE,GAAGtF,EAAE,EAAE,GAAG,EAAEC,EAAE,EAAE,GAAGD,EAAEE,EAAE,EAAE,GAAGD,EAAEU,EAAE,EAAE,GAAGT,EAAE,GAAGnC,EAAE,UAAU,UAAU,MAAM;AAAA,cACtEM;AAAA;AAAA;AAAA;AAAA,iBAIGsC,MAAMT,MAAMD,MAAMD;AAAA;AAAA;AAAA,mBAGhB;AAAA,UACT0yF,GAAG30F,CAAC;AAAA;AAAA,MAER,IAAI6C,EAAE7C,EAAE,UAAU,WAAW8C,EAAE9C,EAAE,UAAU,SAAS+C,EAAED,EAAE,GAAGE,EAAEF,EAAE,GAAG,GAAGE,IAAIJ,GAAGC,GAAG,KAAK,MAAM;AAAA,cAClFvC;AAAA;AAAA;AAAA;AAAA,iBAIG6B,MAAMD,MAAMD,MAAM;AAAA;AAAA;AAAA,0BAGTe,QAAQD;AAAA,+BACH7C;AAAA;AAAA,MAEzB,GAAG8C,IAAI,GAAGH,GAAG,KAAK,MAAM;AAAA,cAChBvC;AAAA;AAAA;AAAA,iBAGG,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE;AAAA,iBACjB,EAAE,GAAG,EAAE,GAAG,EAAE;AAAA,iBACZ,EAAE,GAAG,EAAE;AAAA,iBACP,EAAE;AAAA;AAAA;AAAA,yBAGM0C,QAAQD;AAAA,+BACF7C;AAAA;AAAA,MAEzB,IAAIgE,EAAEwwF,GAAGx0F,CAAC,EAAE,MAAM;AAAA,YACZI;AAAA;AAAA;AAAA,0BAGcsC,aAAaT,eAAeD;AAAA,qBACjCD,gBAAgB,gBAAgBiC;AAAA,6BACxBnB,MAAMC;AAAA,6BACN9C;AAAA;AAAA,GAE1B,CAAC,SAASy0F,GAAG30F,EAAE,CAAC,IAAI,EAAEA,EAAE,KAAKE,EAAE2mB,EAAE,cAAc7mB,EAAE,UAAU,YAAY,EAAE,OAAOE,EAAE,EAAE,UAAU,KAAK;AAAA,0BAC5EA;AAAA;AAAA,iBAET;AAAA;AAAA;AAAA,GAGd,CAAC,SAASwzF,GAAI1zF,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,KAAKM,EAAEJ,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAEK,EAAE,MAAMD,EAAE,cAAc,EAAEN,EAAE,UAAU,aAAa,OAAO,EAAE,EAAE,aAAa,OAAOiC,EAAEgwF,GAAGjyF,EAAE,UAAU,aAAa,EAAE,YAAY,EAAEkC,EAAE4yF,GAAG,CAAC,EAAE3yF,EAAE,EAAE,EAAES,EAAEC,EAAE,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,GAAG,EAAE,IAAI,EAAED,EAAE,GAAG,EAAE,GAAGX,EAAE,QAAQ,EAAEW,EAAE,cAAcA,EAAEX,EAAE,IAAI8C,GAAG,UAAUlC,EAAEkC,EAAE5C,SAAS,EAAE,KAAK;AAAA,CAC1U,EAAE,IAAIW,EAAE,GAAG,EAAE,GAAG,EAAE,EAAEA,EAAE,SAASA,EAAE9C,EAAE,UAAU,aAAa,IAAI,CAAC+E,EAAEJ,IAAI,UAAU9B,EAAE8B,EAAExC,IAAI,EAAE,KAAK,IAAI,EAAE,IAAIY,EAAE,sBAAsBmB,EAAE2iB,EAAE,cAAc7mB,EAAE,UAAU,YAAY,IAAI,EAAEuH,EAAEsf,EAAE,cAAc,EAAE,YAAY,IAAI,EAAE,GAAG,IAAI,GAAG,CAAC3iB,GAAG,CAACqD,EAAExE,EAAE;AAAA;AAAA,cAE5NmB,GAAG,CAACqD,EAAE,IAAI,EAAExE,EAAE;AAAA;AAAA,QAEpBA,EAAE;AAAA;AAAA,gBAEMd,EAAE,OAAO,CAAC,IAAI8C,EAAE,EAAE,EAAEJ,EAAE,EAAE,EAAE1C,EAAE,QAAQ8C,CAAC,EAAE,IAAI9C,EAAE,QAAQ0C,CAAC,EAAE,GAAG5B,EAAE,8BAA8Bd,EAAE,QAAQ8C,CAAC,EAAE,GAAGhC,EAAE,2EAA2Ed,EAAE,QAAQ0C,CAAC,EAAE,KAAK5B,EAAE,+CAA+C,CAAC,MAAM;AAAA,WACvQxC;AAAA,QACH2B;AAAA,QACAU;AAAA,8BACsBtC,KAAKwC;AAAA,QAC3BC;AAAA;AAAA,GAEL,CAAC,SAAS4wF,GAAI3zF,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,KAAKM,EAAEJ,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAEK,EAAE,MAAMD,EAAE,cAAc,EAAE,EAAE,SAAS,EAAEN,EAAE,UAAU,SAASiC,EAAEjC,EAAE,UAAU,aAAa,OAAOkC,EAAE,EAAE,aAAa,OAAO,GAAG,CAAClC,EAAE,UAAU,WAAWiC,IAAIC,GAAGlC,EAAE,UAAU,YAAY,MAAM6mB,EAAE,YAAY,EAAE,CAAC,EAAE,MAAM;AAAA,cAC3QtmB;AAAA,+BACiBL;AAAA;AAAA,MAEzB,IAAIiC,EAAE2yF,GAAG5yF,CAAC,EAAEU,EAAEqvF,GAAGjyF,EAAE,UAAU,aAAa,EAAE,YAAY,EAAE6C,EAAEX,EAAED,EAAEa,EAAEC,EAAE,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,GAAG,EAAEd,IAAI,EAAEa,EAAE,GAAGZ,EAAE,GAAGU,EAAE,QAAQ,EAAEE,EAAE,cAAcA,EAAEF,EAAE,IAAIsB,GAAG,UAAUnB,EAAEmB,EAAErB,SAAS,EAAE,KAAK;AAAA,CACxL,EAAE,IAAIG,EAAE,GAAG,OAAOd,EAAE,GAAGD,EAAE,EAAEe,EAAE,SAASA,EAAEhD,EAAE,UAAU,aAAa,IAAI,CAACkE,EAAE,IAAI,UAAUnB,EAAE,EAAEF,IAAI,EAAE,KAAK,IAAI,EAAE;AAAA,YAChGtC;AAAA,QACJ4B;AAAA,QACAW;AAAA,kBACUxC,KAAK0C;AAAA;AAAA,GAEpB,CAAC,SAAS8xF,GAAG90F,EAAE,CAAC,GAAGA,GAAG,EAAE,MAAM,MAAM,GAAGA,IAAI,EAAE,MAAM,QAAQ,GAAGA,IAAI,EAAE,MAAM,QAAQ,GAAGA,IAAI,EAAE,MAAM,QAAQ,GAAGA,IAAI,EAAE,MAAM,QAAQ,GAAGA,IAAI,EAAE,MAAM,QAAQ,MAAM,MAAM,gBAAgBA,wBAAwB,CAAC,CAAC,SAASmyF,GAAGnyF,EAAE,EAAEE,EAAE,CAAC,GAAG,CAAC,SAASI,EAAE,SAASC,CAAC,EAAEsmB,EAAE,aAAa,CAAC,EAAE,EAAE,EAAE,OAAO,EAAE7mB,GAAG,IAAI,GAAG,EAAE,KAAK,EAAEiC,EAAE,EAAE,EAAE,MAAM,CAAC,EAAE3B,EAAE4B,EAAE,CAAClC,GAAG,EAAE,GAAG,CAAC6mB,EAAE,YAAY,EAAE3mB,CAAC,GAAGI,EAAE,OAAO,GAAG,EAAE,MAAM,CAAC,gBAAgB4B,EAAE,aAAaA,EAAED,EAAE,EAAE,SAAS1B,CAAC,CAAC,CAAC,SAASq0F,GAAG50F,EAAE,EAAE,CAAC,IAAIE,EAAE,KAAK,MAAM,KAAK,UAAUF,CAAC,CAAC,EAAE,OAAOE,EAAE,UAAU,aAAa,EAAEA,CAAC,CAAC,SAAS20F,GAAG70F,EAAE,EAAE,CAAC,OAAO,EAAE,IAAIE,GAAGF,EAAEE,EAAE,EAAE,KAAK,IAAI,CAAC,CAAC,SAAS60F,GAAG/0F,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEL,EAAE,IAAI,CAAC0C,EAAEC,IAAI,CAAC,IAAIC,EAAE,CAAC,aAAaF,EAAE,MAAM,SAASA,EAAE,UAAU,KAAKA,EAAE,QAAQ,SAAS,UAAUA,EAAE,UAAU,SAASA,EAAE,UAAU,GAAGA,EAAE,QAAQ,SAAS,WAAW,IAAI,EAAE,OAAOA,EAAE,SAAS,MAAMA,EAAE,QAAQ,OAAO,MAAMA,EAAE,QAAQ,MAAM,WAAW,IAAIE,EAAE,WAAWF,EAAE,QAAQ,MAAM,YAAY,CAAC,KAAK,EAAE,cAAcC,GAAG,UAAUC,CAAC,CAAC,CAAC,EAAE,EAAEvC,EAAE,IAAIqC,GAAGA,EAAE,SAAS,EAAE,EAAE,CAAC,aAAatC,EAAE,MAAM,SAASA,EAAE,QAAQ,SAAS,UAAU,GAAG,SAASA,EAAE,QAAQ,SAAS,WAAW,IAAI,EAAE2B,EAAEiwF,GAAG3xF,EAAE,EAAE,CAAC,EAAE2B,EAAEyrF,GAAG3tF,EAAE,GAAGiC,CAAC,EAAEE,EAAEnC,EAAE,cAAckC,CAAC,EAAE,OAAOuY,EAAE,EAAE,IAAI,qBAAqB,EAAE,CAAC,QAAQ,EAAE,eAAevY,EAAE,OAAOD,EAAE,aAAaE,EAAE,aAAa,EAAE,aAAa,EAAE,iBAAiB,KAAK,uBAAuB,KAAK,OAAO,KAAK,OAAO,KAAK,kBAAkB,KAAK,qBAAqB,KAAK,iBAAiB,KAAK,wBAAwB,KAAK,oBAAoB,IAAI,EAAE,OAAO,OAAO,CAAC,QAAQ,EAAE,eAAeD,EAAE,OAAOD,EAAE,aAAaE,EAAE,aAAa,EAAE,aAAa,CAAC,EAAE6yF,GAAGh1F,EAAE,EAAEmC,CAAC,CAAC,CAAC,CAAC,SAAS6yF,GAAGh1F,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE0B,EAAEC,EAAEC,EAAES,EAAE,KAAKC,EAAE,KAAKA,EAAE7C,EAAE,mBAAmBE,EAAE,MAAM,EAAE,EAAEua,EAAE,EAAE,UAAU,eAAe,IAAI,IAAI7X,EAAE5C,EAAE,mBAAmBE,EAAE,WAAW,EAAE,GAAG,IAAI4C,EAAE,GAAG,QAAQC,EAAE,EAAEA,EAAE,EAAE,cAAc,OAAOA,IAAI,CAAC,IAAIC,EAAE,EAAE,cAAcD,GAAGzC,EAAE0C,GAAGhD,EAAE,mBAAmBE,EAAE8C,EAAEF,CAAC,EAAExC,EAAE,SAAS0C,KAAKhD,EAAE,mBAAmBE,EAAE,SAAS8C,IAAIF,CAAC,EAAE,EAAE,sBAAsBvC,EAAE,GAAGyC,UAAUhD,EAAE,mBAAmBE,EAAE,GAAG8C,SAASF,CAAC,EAAE,EAAE,GAAGE,aAAahD,EAAE,mBAAmBE,EAAE,GAAG8C,YAAYF,CAAC,EAAE,CAAC,OAAO,EAAE,sBAAsBb,EAAEjC,EAAE,mBAAmBE,EAAE,WAAW4C,CAAC,EAAEX,EAAEnC,EAAE,mBAAmBE,EAAE,kBAAkB4C,CAAC,EAAEZ,EAAElC,EAAE,mBAAmBE,EAAE,cAAc4C,CAAC,GAAG,EAAE,gBAAgB,EAAE,eAAe,QAAQ,CAACC,EAAEC,IAAI,CAAC,EAAEA,GAAGhD,EAAE,mBAAmBE,EAAE6C,EAAE,KAAKD,CAAC,CAAC,CAAC,EAAE,CAAC,iBAAiBxC,EAAE,uBAAuB,EAAE,OAAOsC,EAAE,OAAOC,EAAE,kBAAkBtC,EAAE,qBAAqB,EAAE,iBAAiB0B,EAAE,wBAAwBE,EAAE,oBAAoBD,CAAC,CAAC,CAAC,SAAS+yF,GAAGj1F,EAAE,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,MAAM,MAAM,4BAA4BA,EAAE,wCAAwC,EAAE,eAAe,EAAEA,EAAE,QAAQ,CAACE,EAAEI,IAAI,CAAC,IAAIC,EAAEL,EAAE,aAAa,EAAE,EAAEI,GAAG,EAAE,EAAE,MAAM,GAAG,CAACumB,EAAE,YAAYtmB,EAAE,CAAC,EAAE,MAAM,MAAM,2EAA2EA,SAAS,cAAc,EAAE,GAAGL,EAAE,WAAW,EAAE,UAAU,OAAO,IAAI+B,EAAE/B,EAAE,SAASgC,EAAE,EAAE,UAAU,KAAK,EAAE,QAAQ,SAAS,GAAG,CAAC2kB,EAAE,YAAY5kB,EAAEC,CAAC,EAAE,MAAM,MAAM,kFAAkFD,SAASC,cAAc,CAAC,CAAC,CAAC,CAAC,SAASgzF,GAAGl1F,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,EAAE,QAAQ,sBAAsB00F,GAAG,EAAE,aAAa/0F,CAAC,EAAE+0F,GAAG,CAAC,EAAE,YAAY,EAAE,CAAC30F,CAAC,CAAC,GAAG,IAAI,EAAEA,EAAE,QAAQ,QAAQ,EAAEA,EAAE,QAAQ,SAASA,EAAE,QAAQ,SAASN,EAAE,6BAA6B,EAAE,QAAQ,EAAE,GAAG,EAAE,EAAE,EAAEA,EAAE,uBAAuB,EAAE,QAAQ,EAAE,GAAG,EAAE,EAAE,EAAEA,EAAE,WAAW,EAAE,YAAY,EAAEya,EAAE,EAAE,UAAU,eAAe,IAAI,GAAG,EAAE,SAAS,MAAMza,EAAE,GAAG,UAAU,EAAE,OAAO,EAAE,CAAC,EAAE,EAAE,SAAS,MAAMA,EAAE,GAAG,UAAU,EAAE,OAAO,GAAG,EAAEE,EAAE,QAAQ,CAACgC,EAAEC,IAAI,CAAC,IAAIS,EAAE,EAAE,QAAQ,cAAcT,GAAGU,EAAE,EAAE,iBAAiBD,GAAGE,EAAE,EAAE,iBAAiB,SAASF,KAAKG,EAAE,EAAE,kBAAkB,GAAGH,UAAUI,EAAE,EAAE,qBAAqB,GAAGJ,aAAa,GAAGG,EAAE,CAAC,GAAG,CAAC,aAAamB,CAAC,EAAEiuF,GAAG,EAAE,QAAQ,aAAajwF,EAAE,MAAMA,EAAE,QAAQ,QAAQ,EAAE,OAAOgC,EAAE,OAAO,CAAC,IAAK,GAAElE,EAAE,GAAG,WAAW+C,EAAE,IAAI,WAAWmB,CAAC,CAAC,EAAE,MAAM,IAAK,GAAElE,EAAE,GAAG,WAAW+C,EAAE,IAAI,WAAWmB,CAAC,CAAC,EAAE,MAAM,IAAK,GAAElE,EAAE,GAAG,WAAW+C,EAAE,IAAI,WAAWmB,CAAC,CAAC,EAAE,MAAM,IAAK,GAAElE,EAAE,GAAG,WAAW+C,EAAE,IAAI,WAAWmB,CAAC,CAAC,EAAE,MAAM,QAAQ,KAAK,CAAC,CAAC,GAAGlB,GAAGhD,EAAE,GAAG,UAAUgD,EAAEd,EAAE,QAAQ,SAAS,GAAGA,EAAE,QAAQ,SAAS,EAAE,EAAEW,GAAG,KAAK,CAAC,GAAGX,EAAE,UAAU,CAAC,GAAG2kB,EAAE,cAAc3kB,EAAE,KAAK,EAAE,EAAElC,EAAE,GAAG,UAAU6C,EAAEX,EAAE,cAAc,EAAE,MAAM,CAAC,IAAIgC,EAAEhC,EAAE,cAAcgC,aAAa,eAAeA,EAAE,IAAI,aAAaA,CAAC,GAAGlE,EAAE,GAAG,WAAW6C,EAAEqB,CAAC,CAAC,CAAC,MAAM,CAAChC,EAAE,QAAQ,OAAO,MAAMY,GAAG,MAAM9C,EAAE,GAAG,UAAU8C,EAAEZ,EAAE,QAAQ,MAAM,UAAU,EAAElC,EAAE,sBAAsBkC,EAAE,QAAQ,QAAQ,QAAQW,EAAEV,CAAC,CAAC,CAAC,CAAC,EAAE,IAAIF,EAAE,EAAE,iBAAiB,GAAGA,EAAE,OAAO3B,EAAE,MAAM,OAAO,CAAC,IAAK,GAAEN,EAAE,GAAG,WAAWiC,EAAE,IAAI,WAAW3B,EAAE,KAAK,CAAC,EAAE,MAAM,IAAK,GAAEN,EAAE,GAAG,WAAWiC,EAAE,IAAI,WAAW3B,EAAE,KAAK,CAAC,EAAE,MAAM,IAAK,GAAEN,EAAE,GAAG,WAAWiC,EAAE,IAAI,WAAW3B,EAAE,KAAK,CAAC,EAAE,MAAM,IAAK,GAAEN,EAAE,GAAG,WAAWiC,EAAE,IAAI,WAAW3B,EAAE,KAAK,CAAC,EAAE,MAAM,QAAQ,KAAK,CAAC,GAAG,EAAE,wBAAwB,CAAC,IAAI4B,EAAE2kB,EAAE,eAAevmB,EAAE,KAAK,EAAE,OAAOA,EAAE,MAAM,OAAO,CAAC,IAAK,GAAEN,EAAE,GAAG,WAAW,EAAE,wBAAwB,IAAI,WAAWkC,CAAC,CAAC,EAAE,MAAM,IAAK,GAAElC,EAAE,GAAG,WAAW,EAAE,wBAAwB,IAAI,WAAWkC,CAAC,CAAC,EAAE,MAAM,IAAK,GAAElC,EAAE,GAAG,WAAW,EAAE,wBAAwB,IAAI,WAAWkC,CAAC,CAAC,EAAE,MAAM,QAAQ,KAAK,CAAC,CAAC,EAAE,qBAAqBlC,EAAE,GAAG,UAAU,EAAE,oBAAoBM,EAAE,QAAQ,SAAS,GAAGA,EAAE,QAAQ,SAAS,EAAE,EAAE,EAAE,QAAQ,gBAAgBC,GAAG,EAAE,QAAQ,eAAe,QAAQ,CAAC2B,EAAEC,IAAI,CAAC,IAAIS,EAAE,EAAE,uBAAuBT,GAAGU,EAAEtC,EAAE4B,GAAG,GAAGD,EAAE,OAAO,QAAQlC,EAAE,GAAG,WAAW4C,EAAEC,CAAC,UAAUX,EAAE,OAAO,OAAOlC,EAAE,GAAG,WAAW4C,EAAEC,CAAC,UAAUX,EAAE,OAAO,OAAOlC,EAAE,GAAG,WAAW4C,EAAEC,CAAC,UAAUX,EAAE,OAAO,OAAOlC,EAAE,GAAG,WAAW4C,EAAEC,CAAC,UAAUX,EAAE,OAAO,MAAMlC,EAAE,GAAG,WAAW4C,EAAEC,CAAC,UAAUX,EAAE,OAAO,QAAQlC,EAAE,GAAG,WAAW4C,EAAEC,CAAC,UAAUX,EAAE,OAAO,QAAQlC,EAAE,GAAG,WAAW4C,EAAEC,CAAC,UAAUX,EAAE,OAAO,QAAQlC,EAAE,GAAG,WAAW4C,EAAEC,CAAC,MAAO,OAAM,MAAM,gBAAgBX,EAAE,4BAA4B,CAAC,CAAC,EAAElC,EAAE,eAAe,CAAC,CAAC,SAASm1F,GAAGn1F,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,GAAG,EAAE,OAAOJ,CAAC,EAAE,QAAQ,GAAG,CAAC,IAAI+B,EAAE,EAAE,SAAS,MAAM,EAAE,QAAQ,OAAO,MAAM,EAAE,QAAQ,MAAM,WAAW,EAAE,GAAGjC,EAAE,qBAAqB,CAAC,EAAE,UAAU,CAAC,IAAIkC,EAAE,EAAE,QAAQ,SAAS,CAAC,gBAAgBC,EAAE,aAAaS,EAAE,SAASC,CAAC,EAAEsvF,GAAGnyF,EAAE,aAAa,EAAE,MAAMkC,CAAC,EAAEY,EAAE,GAAGC,EAAE,GAAGC,EAAE,GAAG,GAAGJ,EAAE,SAAS,GAAG5C,EAAE,aAAa,CAAC,IAAI6E,EAAE,CAAC,KAAK,KAAK3C,EAAE,GAAG,CAAC,EAAE,KAAK,KAAKA,EAAE,GAAG,CAAC,CAAC,EAAEY,EAAE,GAAG+B,EAAE,GAAG,KAAKA,EAAE,GAAG,GAAG,SAASjC,EAAE,SAAS,GAAG,CAAC5C,EAAE,aAAa+C,EAAE,GAAGH,EAAE,GAAG,KAAKA,EAAE,GAAG,YAAYA,EAAE,OAAO,GAAG,CAAC5C,EAAE,aAAa,CAAC,IAAI6E,EAAEgiB,EAAE,eAAejkB,CAAC,EAAEI,EAAE,GAAG6B,EAAE,KAAK3C,EAAE,MAAM2C,EAAEA,EAAE,OAAO,KAAK3C,EAAE,IAAI,CAAC,IAAIgC,EAAE,EAAE,MAAM,OAAO,EAAEtB,EAAE,SAAS,GAAGikB,EAAE,YAAY,EAAE,MAAM3kB,CAAC,EAAEqF,EAAEsf,EAAE,cAAc,EAAE,KAAK,IAAI,EAAE9hB,EAAEs1C,EAAE,iBAAiB,EAAE,MAAMn6C,EAAE,KAAK,EAAEyE,EAAE,CAAC3E,EAAE,cAAckE,IAAIhE,EAAE,MAAM,QAAQ2mB,EAAE,YAAY3kB,EAAEhC,EAAE,QAAQ,QAAQ,EAAE0E,EAAE5E,EAAE,cAAc4C,EAAE,OAAO,EAAE,GAAG,GAAGV,EAAE,GAAG,KAAKA,EAAE,GAAG,IAAI5B,GAAG,GAAG4D,KAAKS,KAAKxC,EAAEU,EAAE,MAAMD,EAAE,UAAU2E,KAAKxC,KAAK,KAAKjC,KAAKC,KAAKC,KAAK4B,KAAK3C,GAAG,KAAK,CAAC,IAAIC,EAAE,EAAE,UAAU,UAAU,EAAE,QAAQ,SAAS5B,GAAG,GAAG,EAAE,SAAS4B,KAAKD,GAAG,CAAC,CAAC,EAAE,IAAI1B,EAAEP,EAAE,SAAS,EAAEA,EAAE,YAAY,KAAK,OAAO,GAAG,IAAIM,EAAE,IAAIC,EAAE,GAAGka,EAAE,EAAE,UAAU,eAAe,IAAI,CAAC,CAAC,SAAS26E,GAAGp1F,EAAE,CAAC,OAAOya,EAAE,EAAE,QAAQ,2BAA2B,GAAGza,GAAG,CAAC,CAAC,IAAIq1F,GAAG,KAAK,CAAC,YAAYv0F,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,iBAAiBsvF,GAAG,MAAM,KAAK,eAAe,CAAC,CAAC,KAAK,WAAW,KAAK,OAAO,CAAC,EAAE,IAAIlwF,EAAEuxF,GAAG,EAAE,KAAK,YAAY3wF,EAAE,KAAK,oBAAoBs0F,GAAG,KAAK,YAAY,MAAM,EAAE,KAAK,SAAS;AAAA;AAAA,UAE30N,KAAK,oBAAoBzD,GAAG,CAAC,IAAI,IAAI,GAAG,EAAE7wF,CAAC,EAAE4wF,GAAG,CAAC,IAAI,IAAI,GAAG,EAAE5wF,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAgB/DZ,EAAE;AAAA;AAAA,KAEP,CAAC,EAAMo1F,GAAG,KAAK,CAAC,YAAYx0F,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,iBAAiBsvF,GAAG,MAAM,KAAK,eAAe,CAAC,CAAC,KAAK,WAAW,KAAK,OAAO,CAAC,EAAE,IAAIlwF,EAAEuxF,GAAG,EAAE,KAAK,YAAY3wF,EAAE,KAAK,oBAAoBs0F,GAAG,KAAK,YAAY,MAAM,EAAE,KAAK,SAAS;AAAA;AAAA,UAElR,KAAK,oBAAoBzD,GAAG,CAAC,IAAI,IAAI,GAAG,EAAE7wF,CAAC,EAAE4wF,GAAG,CAAC,IAAI,IAAI,GAAG,EAAE5wF,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAgB/DZ,EAAE;AAAA;AAAA,KAEP,CAAC,EAAMq1F,GAAG,KAAK,CAAC,YAAYz0F,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAYuvF,GAAG,SAAS,IAAInwF,EAAEuxF,GAAG,EAAE,KAAK,YAAY3wF,EAAE,KAAK,SAAS;AAAA,QAC9HkxF;AAAA;AAAA;AAAA;AAAA,UAIE9xF,EAAE;AAAA;AAAA,KAEP,CAAC,EAAMs1F,GAAG,KAAK,CAAC,YAAY10F,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAYuvF,GAAG,SAAS,IAAInwF,EAAEuxF,GAAG,EAAE,KAAK,YAAY3wF,EAAE,KAAK,SAAS;AAAA,QACxKkxF;AAAA;AAAA;AAAA;AAAA;AAAA,UAKE9xF,EAAE;AAAA;AAAA,KAEP,CAAC,EAAMu1F,GAAG,KAAK,CAAC,YAAY30F,EAAEZ,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,WAAW,KAAK,OAAO,CAAC,EAAE,IAAI,EAAEuxF,GAAG,EAAE,KAAK,YAAY3wF,EAAE,KAAK,oBAAoBs0F,GAAG,KAAK,YAAY,MAAM,EAAE,IAAI70F,EAAE,SAASL,IAAIK,EAAE,8BAA8B,KAAK,SAAS;AAAA,QACnQ,KAAK,oBAAoBwxF,GAAG,EAAED,GAAGhxF,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAalB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAchB,EAAE,iBAAiBP;AAAA;AAAA,KAExB,CAAC,EAAMm1F,GAAG,KAAK,CAAC,YAAY50F,EAAEZ,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,eAAe,CAAC,CAAC,KAAK,WAAW,KAAK,OAAO,CAAC,EAAE,IAAI,EAAEuxF,GAAG,EAAE,KAAK,YAAY3wF,EAAE,KAAK,oBAAoBs0F,GAAG,KAAK,YAAY,MAAM,EAAE,IAAI70F,EAAE,GAAGwB,EAAE,SAAS7B,IAAI6B,EAAE,8BAA8B,QAAQC,EAAE,EAAEA,GAAG,EAAEA,IAAI,QAAQC,EAAE,EAAEA,GAAG,EAAEA,IAAI,CAAC,IAAIC,EAAEF,EAAE,EAAEC,EAAE1B,GAAG;AAAA;AAAA,gCAEtU0B,OAAO,KAAK,oBAAoB,cAAc,GAAGnB,EAAE;AAAA,8BACrDmB;AAAA,iCACGD,OAAO,KAAK,oBAAoB,cAAc,GAAGlB,EAAE;AAAA,gCACpDkB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,uBAUT,EAAE;AAAA;AAAA;AAAA,uBAGFE;AAAA;AAAA,uBAEAA;AAAA;AAAA,uBAEAA;AAAA;AAAA,uBAEAA;AAAA;AAAA;AAAA;AAAA,SAId,CAAC,KAAK,SAAS;AAAA,UACd,KAAK,oBAAoB6vF,GAAG,EAAED,GAAGhxF,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAWhCP;AAAA;AAAA,YAEA,EAAE,YAAYwB;AAAA;AAAA,KAErB,CAAC,EAAM4zF,GAAG,CAAC,EAAEv1F,GAAGu1F,GAAG,CAAC,kCAAkC,IAAIC,GAAG,8BAA8B,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,iCAAiC,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,0BAA0B,IAAIC,GAAG,iCAAiC,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,gDAAgD,IAAIC,GAAG,gCAAgC,IAAIC,GAAG,sCAAsC,IAAIC,GAAG,+BAA+B,IAAIC,GAAG,yCAAyC,IAAIC,GAAG,+CAA+C,IAAIC,GAAG,yCAAyC,IAAIC,GAAG,wCAAwC,IAAIC,GAAG,+CAA+C,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,yBAAyB,IAAIC,EAAE,CAAC,EAAE,SAASX,GAAGr2F,EAAE,CAAC,IAAI,EAAEyxF,GAAG,EAAEvxF,EAAE,GAAG,EAAE;AAAA;AAAA,MAEp3B,EAAE;AAAA,MACF,EAAE;AAAA,MACF,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,OAKD,OAAO+tF,GAAGjuF,EAAEE,CAAC,CAAC,CAAC,SAASk2F,GAAGp2F,EAAE,CAAC,IAAI,EAAE,IAAI,aAAa,CAAC,GAAG,EAAE,EAAE,EAAE,EAAE,GAAG,GAAG,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,CAAC,CAAC,EAAE,OAAO+tF,GAAG/tF,EAAE,CAAC,CAAC,CAAC,SAASi2F,GAAGj2F,EAAE,CAAC,IAAI,EAAE,IAAI,YAAY,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,EAAE,OAAO8tF,GAAG9tF,EAAE,CAAC,CAAC,CAAC,SAASi3F,GAAGj3F,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAACsvF,GAAG,EAAE3vF,CAAC,EAAE,IAAI,EAAE8tF,GAAGhuF,CAAC,EAAEiC,EAAEjC,EAAE,WAAW,OAAOytF,GAAGztF,EAAE,IAAIA,EAAE,YAAYiC,EAAE,CAAC,CAAC,EAAEwrF,GAAGztF,EAAE,IAAIA,EAAE,cAAciC,EAAEjC,EAAE,eAAeA,EAAE,aAAa,CAAC,EAAEytF,GAAGztF,EAAE,IAAIA,EAAE,cAAciC,EAAEjC,EAAE,eAAeA,EAAE,aAAa,CAAC,EAAEytF,GAAGztF,EAAE,IAAIA,EAAE,cAAciC,EAAEjC,EAAE,mBAAmBA,EAAE,OAAO,CAAC,EAAEytF,GAAGztF,EAAE,IAAIA,EAAE,cAAciC,EAAEjC,EAAE,mBAAmBA,EAAE,OAAO,CAAC,EAAEya,EAAE,EAAE,UAAU,eAAe,IAAI,EAAEgzE,GAAGztF,EAAE,IAAIA,EAAE,WAAWiC,EAAE,EAAE3B,EAAE,EAAEJ,EAAE,EAAEK,EAAE,EAAE,IAAI,CAAC,EAAEktF,GAAGztF,EAAE,IAAIA,EAAE,aAAaiC,EAAE,EAAE3B,EAAE,EAAEJ,CAAC,CAAC,EAAEutF,GAAGztF,EAAE,IAAIA,EAAE,YAAYA,EAAE,WAAW,IAAI,CAAC,EAAE,CAAC,QAAQ,EAAE,SAAS,CAACE,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS02F,GAAG52F,EAAE,CAAC,OAAOA,EAAE,mBAAmB,CAAC,SAASg2F,GAAGh2F,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAEgwF,GAAG,EAAErwF,CAAC,EAAE,OAAO+2F,GAAGj3F,EAAEO,EAAE,EAAEq2F,GAAGt2F,CAAC,EAAEA,EAAE,mBAAmBN,EAAE,KAAK,CAAC,CAAC,SAAS02F,GAAG12F,EAAE,CAAC,OAAOA,EAAE,uBAAuB,CAAC,SAAS81F,GAAG91F,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAEgwF,GAAG,EAAErwF,CAAC,EAAE,OAAO+2F,GAAGj3F,EAAEO,EAAE,EAAEm2F,GAAGp2F,CAAC,EAAEA,EAAE,mBAAmBA,EAAE,oBAAoB,CAAC,CAAC,SAASw2F,GAAG92F,EAAE,CAAC,OAAOA,EAAE,qBAAqB,CAAC,SAASm2F,GAAGn2F,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAEgwF,GAAG,EAAErwF,CAAC,EAAE,OAAO+2F,GAAGj3F,EAAEO,EAAE,EAAEu2F,GAAGx2F,CAAC,EAAEN,EAAE,KAAKA,EAAE,aAAa,CAAC,CAAC,SAAS62F,GAAG72F,EAAE,CAAC,OAAOA,EAAE,yBAAyB,CAAC,SAASk2F,GAAGl2F,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAEmwF,GAAG,EAAExwF,CAAC,EAAE,OAAO+2F,GAAGj3F,EAAEO,EAAE,EAAEs2F,GAAGv2F,CAAC,EAAEN,EAAE,KAAKA,EAAE,KAAK,CAAC,CAAC,SAAS22F,GAAG32F,EAAE,CAAC,OAAOA,EAAE,6BAA6B,CAAC,SAAS+1F,GAAG/1F,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAEmwF,GAAG,EAAExwF,CAAC,EAAE,OAAO+2F,GAAGj3F,EAAEO,EAAE,EAAEo2F,GAAGr2F,CAAC,EAAEN,EAAE,KAAKM,EAAE,oBAAoB,CAAC,CAAC,SAASs1F,GAAG51F,EAAE,EAAEE,EAAE,CAAC,OAAOutF,GAAGztF,EAAE,IAAIA,EAAE,WAAWA,EAAE,aAAaE,CAAC,CAAC,EAAEstF,GAAGxtF,EAAE,EAAE,eAAeE,EAAE,EAAE,GAAG,CAAC,GAAGstF,GAAGxtF,EAAE,EAAE,KAAKE,EAAE,EAAE,GAAG,EAAE,CAAC,CAAC,SAAS62F,GAAG/2F,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAACktF,GAAGztF,EAAE,IAAIA,EAAE,YAAYA,EAAE,WAAW,CAAC,CAAC,EAAE,IAAI,EAAEiC,EAAEC,EAAE3B,aAAa,YAAY,EAAE,IAAI,WAAWL,EAAEI,EAAE,CAAC,EAAE2B,EAAEjC,EAAE,cAAckC,EAAElC,EAAE,OAAO,EAAE,IAAI,aAAaE,EAAEI,EAAE,CAAC,EAAE2B,EAAEjC,EAAE,MAAMkC,EAAE,EAAE,2BAA2B,EAAE,IAAI3B,CAAC,EAAEka,EAAE,EAAE,UAAU,eAAe,IAAI,EAAEgzE,GAAGztF,EAAE,IAAIA,EAAE,cAAcA,EAAE,WAAW,EAAE,EAAE,EAAEE,EAAEI,EAAEN,EAAE,KAAKiC,EAAE,CAAC,CAAC,EAAEwrF,GAAGztF,EAAE,IAAIA,EAAE,WAAWA,EAAE,WAAW,EAAEkC,EAAEhC,EAAEI,EAAE,EAAEN,EAAE,KAAKiC,EAAE,CAAC,CAAC,EAAEwrF,GAAGztF,EAAE,IAAIA,EAAE,YAAYA,EAAE,WAAW,IAAI,CAAC,CAAC,CAAC,SAASg3F,GAAGh3F,EAAE,EAAEE,EAAE,CAACutF,GAAGztF,EAAE,IAAIA,EAAE,YAAYA,EAAE,WAAW,CAAC,CAAC,EAAEE,EAAE,gBAAgB,WAAWua,EAAE,EAAE,UAAU,eAAe,IAAI,EAAEgzE,GAAGztF,EAAE,IAAIA,EAAE,cAAcA,EAAE,WAAW,EAAE,EAAE,EAAEE,EAAE,MAAMA,EAAE,OAAOF,EAAE,KAAKA,EAAE,cAAcE,EAAE,IAAI,CAAC,EAAEutF,GAAGztF,EAAE,IAAIA,EAAE,WAAWA,EAAE,WAAW,EAAEA,EAAE,KAAKE,EAAE,MAAMA,EAAE,OAAO,EAAEF,EAAE,KAAKA,EAAE,cAAcE,EAAE,IAAI,CAAC,EAAEua,EAAE,EAAE,UAAU,eAAe,IAAI,EAAEgzE,GAAGztF,EAAE,IAAIA,EAAE,cAAcA,EAAE,WAAW,EAAE,EAAE,EAAEA,EAAE,KAAKA,EAAE,cAAcE,CAAC,CAAC,EAAEutF,GAAGztF,EAAE,IAAIA,EAAE,WAAWA,EAAE,WAAW,EAAEA,EAAE,KAAKA,EAAE,KAAKA,EAAE,cAAcE,CAAC,CAAC,EAAEutF,GAAGztF,EAAE,IAAIA,EAAE,YAAYA,EAAE,WAAW,IAAI,CAAC,CAAC,CAAC,SAAS61F,GAAG71F,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEP,EAAE,aAAa,EAAEytF,GAAGztF,EAAE,IAAIA,EAAE,WAAWA,EAAE,kBAAkBO,CAAC,CAAC,EAAE,IAAI0B,EAAE,EAAE,EAAE,EAAE/B,EAAE,OAAOutF,GAAGztF,EAAE,IAAIA,EAAE,WAAWA,EAAE,kBAAkBiC,EAAEjC,EAAE,WAAW,CAAC,EAAEytF,GAAGztF,EAAE,IAAIA,EAAE,WAAW,EAAE,EAAEE,EAAE,EAAEF,EAAE,KAAKA,EAAE,MAAM,CAAC,CAAC,EAAEytF,GAAGztF,EAAE,IAAIA,EAAE,WAAWA,EAAE,kBAAkB,IAAI,CAAC,EAAEO,CAAC,CAAC,SAASg2F,GAAGv2F,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAEO,EAAE,IAAI,aAAaL,CAAC,EAAE,OAAOI,EAAE,WAAWA,EAAE,kBAAkB,CAAC,EAAEA,EAAE,iBAAiBA,EAAE,kBAAkB,EAAEC,CAAC,EAAED,EAAE,WAAWA,EAAE,kBAAkB,IAAI,EAAEC,CAAC,CAAC,SAAS+1F,GAAGt2F,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAEgwF,GAAG,EAAErwF,CAAC,EAAE,EAAE,EAAE+B,EAAE,IAAI,WAAWuuF,GAAG,EAAEtwF,EAAE,CAAC,CAAC,EAAE,OAAOutF,GAAGztF,EAAE,IAAIA,EAAE,WAAW,EAAE,EAAEO,EAAE,EAAED,EAAE,sBAAsBN,EAAE,cAAciC,CAAC,CAAC,EAAE,IAAI,aAAaA,EAAE,MAAM,CAAC,CAAC,SAASw0F,GAAGz2F,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAE,CAAC,IAAIC,EAAElC,EAAEmC,EAAE,IAAI,aAAawuF,GAAG,EAAE,CAAC,CAAC,EAAE,OAAOzuF,EAAE,WAAWA,EAAE,kBAAkB,CAAC,EAAEA,EAAE,iBAAiBA,EAAE,kBAAkB,EAAEC,CAAC,EAAED,EAAE,WAAWA,EAAE,kBAAkB,IAAI,EAAEC,CAAC,CAAC,SAASq0F,GAAGx2F,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,IAAI,aAAa,EAAEJ,EAAE,CAAC,EAAE,OAAOutF,GAAGztF,EAAE,IAAIA,EAAE,WAAW,EAAE,EAAEE,EAAE,EAAEF,EAAE,KAAKA,EAAE,MAAMM,CAAC,CAAC,EAAEA,CAAC,CAAC,IAAI42F,GAAG,KAAK,CAAC,YAAYp2F,EAAE,CAAC,KAAK,cAAc,KAAK,KAAK,QAAQ,KAAK,KAAK,SAAS,GAAG,KAAK,oBAAoB,GAAG,KAAK,YAAY,CAAC,EAAE,IAAIZ,EAAEua,EAAE,EAAE,UAAU,eAAe,EAAE3Z,GAAG,MAAM,KAAK,GAAGA,EAAEkvF,GAAG9vF,EAAEY,CAAC,GAAG,KAAK,GAAGmvF,GAAG/vF,CAAC,EAAE,IAAI,EAAE,2BAA2BK,EAAE,8BAA8B,GAAG,KAAK,6BAA6B,KAAK,GAAG,aAAa,6BAA6B,EAAEka,EAAE,EAAE,UAAU,eAAe,IAAI,EAAE,CAAC,IAAI1Y,EAAE,oBAAoBC,EAAE,yBAAyB,GAAG,KAAK,sBAAsBmsF,GAAG,KAAK,GAAGpsF,CAAC,EAAEgtF,GAAG,KAAK,GAAG/sF,CAAC,EAAE,KAAK,0BAA0BmsF,GAAG,KAAK,GAAGnsF,CAAC,UAAUyY,EAAE,EAAE,IAAI,0BAA0B,EAAE,MAAM,IAAI,MAAM,oHAAoH,EAAE,GAAG,KAAK,0BAA0B,KAAK,GAAG,aAAa,CAAC,EAAEs0E,GAAG,KAAK,GAAGxuF,CAAC,EAAE,KAAK,8BAA8B4tF,GAAG,KAAK,GAAG5tF,CAAC,UAAUka,EAAE,EAAE,IAAI,0BAA0B,EAAE,MAAM,IAAI,MAAM,6HAA6H,CAAC,SAAS,EAAE,yBAAyBs0E,GAAG,KAAK,GAAG,CAAC,EAAE,KAAK,0BAA0B,KAAK,GAAG,aAAa,CAAC,UAAUA,GAAG,KAAK,GAAGxuF,CAAC,EAAE,KAAK,8BAA8B,KAAK,GAAG,aAAaA,CAAC,MAAO,OAAM,IAAI,MAAM,qDAAqD,EAAE,KAAK,aAAa61F,GAAG,KAAK,EAAE,EAAE,KAAK,YAAYH,GAAG,KAAK,EAAE,EAAE,KAAK,YAAYrI,GAAG,KAAK,EAAE,EAAE,KAAK,cAAcgD,GAAG,KAAK,GAAG,KAAK,yBAAyB,CAAC,CAAC,IAAI,OAAO,CAAC,OAAOn2E,EAAE,EAAE,QAAQ,OAAO,CAAC,CAAC,SAAS,CAAC,GAAG,KAAK,SAAS,OAAO,KAAK,SAAS,MAAM,QAAQ,KAAK,sKAAsK,EAAE,KAAK,eAAe,MAAM,QAAQ,KAAK,oMAAoM,EAAE,IAAI3Z,EAAE,KAAK,GAAG2sF,GAAG3sF,EAAE,IAAIA,EAAE,OAAO,CAAC,EAAE2sF,GAAG3sF,EAAE,IAAIA,EAAE,gBAAgBA,EAAE,YAAY,IAAI,CAAC,EAAE2sF,GAAG3sF,EAAE,IAAIA,EAAE,kBAAkB,KAAK,WAAW,CAAC,EAAE2sF,GAAG3sF,EAAE,IAAIA,EAAE,WAAWA,EAAE,aAAa,IAAI,CAAC,EAAE2sF,GAAG3sF,EAAE,IAAIA,EAAE,WAAWA,EAAE,qBAAqB,IAAI,CAAC,EAAE2sF,GAAG3sF,EAAE,IAAIA,EAAE,aAAa,KAAK,WAAW,CAAC,EAAE,KAAK,SAAS,EAAE,CAAC,2BAA2BA,EAAEZ,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE81F,GAAG,KAAK,GAAGl1F,EAAEZ,EAAE,KAAK,aAAa,CAAC,CAAC,2BAA2BY,EAAEZ,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE41F,GAAG,KAAK,GAAGh1F,EAAEZ,EAAE,KAAK,aAAa,CAAC,CAAC,iCAAiCY,EAAEZ,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEi2F,GAAG,KAAK,GAAGr1F,EAAEZ,EAAE,KAAK,aAAa,CAAC,CAAC,yBAAyBY,EAAEZ,EAAE,CAAC,KAAK,gBAAgB,EAAE82F,GAAG,KAAK,GAAGl2F,EAAEZ,CAAC,CAAC,CAAC,2BAA2BY,EAAEZ,EAAE,EAAEK,EAAE,CAAC,KAAK,gBAAgB,EAAEw2F,GAAG,KAAK,GAAGj2F,EAAEZ,EAAE,EAAEK,EAAE,KAAK,aAAa,CAAC,CAAC,iCAAiCO,EAAEZ,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE61F,GAAG,KAAK,GAAGj1F,EAAEZ,EAAE,KAAK,aAAa,CAAC,CAAC,0BAA0BY,EAAEZ,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEg2F,GAAG,KAAK,GAAGp1F,EAAEZ,EAAE,KAAK,aAAa,CAAC,CAAC,oBAAoBY,EAAE,CAAC,KAAK,gBAAgB,EAAE,KAAK,gBAAgBA,IAAI2uF,GAAG,KAAK,GAAG,KAAK,WAAW,EAAE,KAAK,cAAc,MAAMhC,GAAG,KAAK,GAAG,IAAI,KAAK,GAAG,cAAc3sF,CAAC,CAAC,CAAC,CAAC,gDAAgDA,EAAEZ,EAAE,EAAE,CAAC,OAAO,KAAK,qBAAqBY,EAAE,IAAIw1F,GAAG,KAAK,GAAGp2F,EAAE,EAAE,KAAK,aAAa,CAAC,CAAC,CAAC,+BAA+BY,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAE,CAAC,OAAOy0F,GAAG,KAAK,GAAG31F,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAE,KAAK,aAAa,CAAC,CAAC,gCAAgClB,EAAEZ,EAAE,CAAC,OAAOq2F,GAAG,KAAK,GAAGz1F,EAAEZ,CAAC,CAAC,CAAC,wBAAwBY,EAAEZ,EAAE,EAAE,CAAC,KAAK,yBAAyBY,CAAC,EAAE,IAAIP,EAAEs1F,GAAG,KAAK,GAAG31F,EAAE,EAAE,KAAK,aAAa,EAAE,OAAO,KAAK,2BAA2B,EAAEK,CAAC,CAAC,uBAAuB,CAAC,IAAIO,EAAE,KAAK,YAAY,KAAK,EAAE,EAAE,OAAO,KAAK,UAAUA,CAAC,CAAC,CAAC,YAAYA,EAAE,CAAC,IAAIZ,EAAE,EAAE,GAAGua,EAAE,EAAE,QAAQ,yBAAyB,EAAE,CAAC,IAAIla,EAAEO,EAAEiB,EAAExB,EAAE,UAAUA,EAAE,2BAA2B,CAAC,EAAEO,EAAE,MAAM,EAAE,EAAE,IAAI,CAAC,IAAIkB,EAAEzB,EAAE,eAAewB,EAAE,EAAE,CAAC,EAAE,OAAOC,IAAIzB,EAAE,kBAAkByB,IAAIzB,EAAE,mBAAmB,EAAEL,EAAE6B,CAAC,MAAM0Y,EAAE,EAAE,UAAU,8CAA8C,EAAE,GAAGva,EAAE,KAAK,WAAW,EAAE,KAAK,SAAS,EAAE,EAAE,IAAI,KAAK,iBAAiBA,EAAEua,EAAE,EAAE,UAAU,8CAA8C,CAAC,GAAG,EAAE,IAAI,GAAG,MAAM,CAAC,MAAMva,EAAE,cAAc,CAAC,CAAC,CAAC,gCAAgCY,EAAEZ,EAAE,EAAE,CAAC,OAAO,KAAK,qBAAqBY,EAAE,IAAI01F,GAAG,KAAK,GAAGt2F,EAAE,CAAC,CAAC,CAAC,CAAC,cAAcY,EAAE,CAAC,KAAK,gBAAgB,EAAE,IAAIZ,EAAE,KAAK,GAAG,KAAK,cAAc,OAAO,KAAK,aAAam2F,GAAGn2F,CAAC,GAAG,IAAI,EAAE2tF,GAAG3tF,CAAC,EAAE,OAAOutF,GAAGvtF,EAAE,IAAIA,EAAE,aAAa,EAAE,KAAK,YAAY,CAAC,EAAEutF,GAAGvtF,EAAE,IAAIA,EAAE,aAAa,EAAEY,CAAC,CAAC,EAAEuuF,GAAGnvF,EAAE,CAAC,EAAE,KAAK,OAAO0vF,GAAG1vF,EAAE,CAAC,EAAE,KAAK,sBAAsB,KAAK,WAAW,CAAC,EAAE,KAAK,oBAAoB01F,GAAG11F,EAAE,KAAK,QAAQ,KAAK,YAAY,GAAG,CAAC,CAAC,cAAcY,EAAE,CAAC,KAAK,gBAAgB,EAAEA,IAAI,KAAK,UAAU,KAAK,QAAQ,MAAMA,GAAG,MAAM2sF,GAAG,KAAK,GAAG,IAAI,KAAK,GAAG,cAAc3sF,CAAC,CAAC,CAAC,CAAC,WAAWA,EAAE,CAAC,KAAK,gBAAgB,EAAE,KAAK,QAAQA,EAAE,KAAK,SAAS,MAAM,KAAK,OAAO8uF,GAAG,KAAK,GAAG,KAAK,OAAO,EAAEnC,GAAG,KAAK,GAAG,IAAI,KAAK,GAAG,WAAW3sF,CAAC,CAAC,CAAC,CAAC,mBAAmBA,EAAEZ,EAAE,EAAE,GAAG,CAAC,OAAO,KAAK,gBAAgB,EAAE,EAAEsuF,GAAG,KAAK,GAAG1tF,EAAEZ,CAAC,EAAEquF,GAAG,KAAK,GAAGztF,EAAEZ,CAAC,CAAC,CAAC,qBAAqBY,EAAEZ,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEutF,GAAG,KAAK,GAAG,IAAI,KAAK,GAAG,kBAAkB3sF,EAAEZ,CAAC,CAAC,CAAC,CAAC,0BAA0BY,EAAEZ,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE,KAAK,GAAG,mBAAmBY,EAAEZ,CAAC,CAAC,CAAC,sBAAsBY,EAAEZ,EAAE,EAAE,CAAC,KAAK,gBAAgB,EAAE,KAAK,iBAAiB,EAAEotF,GAAG,KAAK,GAAGxsF,EAAEZ,EAAE,CAAC,CAAC,CAAC,uBAAuBY,EAAEZ,EAAE,EAAE,CAAC,KAAK,6BAA6BY,EAAE,EAAEZ,CAAC,CAAC,CAAC,6BAA6BY,EAAEZ,EAAE,EAAE,CAAC,KAAK,gBAAgB,EAAE,GAAG,CAACK,EAAEwB,CAAC,EAAE2uF,GAAGxwF,EAAE,CAAC,EAAE,KAAK,6BAA6BY,EAAEP,EAAEwB,CAAC,CAAC,CAAC,2BAA2BjB,EAAEZ,EAAE,EAAEK,EAAE,CAAC,KAAK,iCAAiC,EAAEO,EAAEP,EAAEL,CAAC,CAAC,CAAC,iCAAiCY,EAAEZ,EAAE,EAAEK,EAAE,CAAC,MAAM,IAAI,MAAM,mDAAmD,CAAC,CAAC,eAAe,CAAC,KAAK,SAAS,MAAMqvF,GAAG,KAAK,GAAG,KAAK,OAAO,EAAED,GAAG,KAAK,EAAE,CAAC,CAAC,gBAAgB,CAAC,KAAK,gBAAgB,EAAE,KAAK,iBAAiB,EAAE,IAAI7uF,EAAE,KAAK,GAAG,KAAK,OAAO,KAAK,cAAc,EAAE2sF,GAAG3sF,EAAE,IAAIA,EAAE,aAAaA,EAAE,UAAU,EAAEA,EAAE,eAAe,CAAC,CAAC,CAAC,CAAC,gCAAgC,CAAC,KAAK,gBAAgB,EAAE2sF,GAAG,KAAK,GAAG,IAAI,KAAK,GAAG,OAAO,CAAC,CAAC,CAAC,wBAAwB,CAAC,OAAO,KAAK,6BAA6B,OAAO,KAAK,4BAA4BU,GAAG,KAAK,GAAG1zE,EAAE,EAAE,UAAU,8CAA8C,IAAI,EAAE,kCAAkC,0BAA0B,GAAG,KAAK,2BAA2B,CAAC,8BAA8B,CAAC,OAAO,KAAK,uBAAuB,CAAC,CAAC,8BAA8B,CAAC,OAAO,KAAK,uBAAuB,CAAC,CAAC,YAAY,CAAC,GAAGA,EAAE,EAAE,UAAU,8CAA8C,IAAI,EAAE,CAAC,IAAI,EAAE,KAAK,GAAGla,EAAE,KAAK,6BAA6B,EAAEwB,EAAE,EAAE,YAAY,EAAE,OAAO,EAAE,WAAWxB,EAAE,iBAAiBwB,CAAC,EAAEA,CAAC,CAAC,IAAIjB,EAAE,KAAK,6BAA6B,EAAEZ,EAAEY,EAAE,eAAe,EAAE,OAAOA,EAAE,cAAcA,EAAE,iBAAiBZ,CAAC,EAAEA,CAAC,CAAC,UAAU,CAAC,GAAGua,EAAE,EAAE,UAAU,8CAA8C,IAAI,EAAE,CAAC,IAAIva,EAAE,KAAK,GAAG,EAAE,KAAK,6BAA6B,EAAEA,EAAE,SAAS,EAAE,gBAAgB,EAAE,MAAM,CAAC,IAAIY,EAAE,KAAK,6BAA6B,EAAEA,EAAE,YAAYA,EAAE,gBAAgB,CAAC,CAAC,MAAM,uBAAuBA,EAAE,CAAC,OAAO,MAAM+lB,EAAE,YAAY,IAAI,KAAK,UAAU,KAAK,iBAAiB/lB,EAAE2Z,EAAE,EAAE,UAAU,8CAA8C,CAAC,CAAC,EAAE,KAAK,aAAa3Z,EAAE2Z,EAAE,EAAE,UAAU,8CAA8C,CAAC,CAAC,CAAC,aAAa3Z,EAAEZ,EAAE,CAAC,GAAGA,IAAI,EAAE,OAAO,KAAK,GAAGA,IAAI,EAAE,CAAC,IAAI,EAAE,KAAK,GAAG,OAAO,EAAE,kBAAkBY,EAAE,EAAE,YAAY,EAAE,GAAG,KAAK,CAAC,IAAI,EAAE,KAAK,6BAA6B,EAAE,OAAO,EAAE,kBAAkBA,EAAE,EAAE,gBAAgB,EAAE,GAAG,CAAC,CAAC,iBAAiBA,EAAEZ,EAAE,CAAC,GAAGA,IAAI,EAAE,MAAM,GAAG,GAAGA,IAAI,EAAE,CAAC,IAAI,EAAE,KAAK,GAAGK,EAAE,KAAK,6BAA6B,EAAEwB,EAAE,EAAE,kBAAkBjB,EAAE,EAAE,sBAAsB,EAAE,OAAO,KAAK,UAAU,OAAO,KAAK,SAAS,KAAK,GAAG,aAAaP,EAAE,gBAAgB,GAAGwB,GAAG,CAAC,KAAK,QAAQ,KAAK,CAAC,IAAI,EAAE,KAAK,6BAA6B,EAAExB,EAAE,EAAE,kBAAkBO,EAAE,EAAE,0BAA0B,EAAE,OAAO,KAAK,UAAU,OAAO,KAAK,SAAS,KAAK,GAAG,aAAa,EAAE,gBAAgB,GAAGP,GAAG,CAAC,KAAK,QAAQ,CAAC,CAAC,UAAUO,EAAE,CAAC,OAAO,IAAI,QAAQZ,GAAG,CAAC,KAAK,cAAc,IAAIY,EAAE,cAAc,EAAE,IAAIZ,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIY,EAAEq2F,GAAI,KAAK,YAAY,IAAIj3F,GAAGA,EAAE,QAAQ,CAAC,EAAE,QAAQA,EAAE,EAAEA,GAAGY,EAAE,EAAEZ,EAAE,CAAC,GAAG,CAAC,UAAU,CAAC,EAAE,KAAK,YAAYA,GAAG,EAAE,CAAC,CAAC,KAAK,YAAY,KAAK,YAAY,MAAMY,EAAE,CAAC,CAAC,CAAC,cAAcA,EAAEZ,EAAE,CAAC,GAAG,KAAK,YAAY,KAAK,CAAC,SAASY,EAAE,UAAUZ,CAAC,CAAC,EAAE,KAAK,YAAY,OAAO,EAAE,OAAO,IAAI,EAAE,qBAAqBua,EAAE,EAAE,WAAW,EAAEA,EAAE,EAAE,SAAS,iBAAiB,KAAKA,EAAE,EAAE,QAAQ,GAAGoM,EAAE,YAAY,KAAK,KAAK,UAAU,EAAE,KAAK,YAAY,SAAS,GAAG,IAAI,EAAE,KAAK,CAAC,CAAC,CAAC,yBAAyB/lB,EAAE,CAAC,KAAK,gBAAgB,EAAEusF,GAAG,KAAK,GAAGvsF,EAAE,KAAK,WAAW,EAAE,KAAK,OAAO6uF,GAAG,KAAK,EAAE,CAAC,CAAC,4BAA4B,CAAC,KAAK,eAAe,MAAMtC,GAAG,KAAK,GAAG,KAAK,cAAc,KAAK,WAAW,EAAE,KAAK,OAAOsC,GAAG,KAAK,EAAE,GAAGF,GAAG,KAAK,GAAG,KAAK,WAAW,CAAC,CAAC,qBAAqB3uF,EAAEZ,EAAE,CAAC,KAAK,yBAAyBY,CAAC,EAAE,IAAI,EAAEZ,EAAE,EAAE,OAAO,KAAK,2BAA2B,EAAE,CAAC,CAAC,6BAA6BY,EAAEZ,EAAE,EAAE,CAAC,KAAK,gBAAgB,EAAE,IAAIK,EAAE,KAAK,GAAG8sF,GAAG9sF,EAAEO,EAAE,KAAK,WAAW,EAAE,KAAK,OAAO6uF,GAAGpvF,CAAC,EAAE,KAAK,cAAcO,EAAE2sF,GAAGltF,EAAE,IAAIA,EAAE,SAAS,EAAE,EAAEL,EAAE,CAAC,CAAC,EAAEutF,GAAGltF,EAAE,IAAIA,EAAE,QAAQ,EAAE,EAAEL,EAAE,CAAC,CAAC,CAAC,CAAC,iCAAiCY,EAAEZ,EAAE,EAAEK,EAAE,CAAC,KAAK,gBAAgB,EAAEktF,GAAG,KAAK,GAAG,IAAI,KAAK,GAAG,QAAQ3sF,EAAEZ,EAAE,EAAEK,CAAC,CAAC,CAAC,CAAC,iBAAiB,CAAC,GAAG,KAAK,SAAS,MAAM,IAAI,MAAM,yCAAyC,CAAC,CAAC,kBAAkB,CAAC,GAAG,KAAK,SAAS,KAAK,MAAM,IAAI,MAAM,kCAAkC,CAAC,CAAC,EAAE,SAAS42F,GAAIn3F,EAAE,CAAC,IAAI,EAAE,EAAE,KAAK,EAAEA,EAAE,QAAQA,EAAE,GAAG,EAAE,EAAE,EAAE,CAAC,OAAO,EAAE,CAAC,CAAC,GAAG,CAAC,QAAQo3F,GAAG,aAAaC,GAAG,mBAAmBC,GAAG,SAASC,GAAG,SAASC,GAAG,WAAWC,GAAG,UAAUC,GAAG,QAAQC,GAAG,UAAUC,GAAG,UAAUC,GAAG,aAAaC,GAAG,aAAaC,GAAG,YAAYC,GAAG,iBAAiBC,GAAG,SAASC,GAAG,cAAcC,GAAG,aAAaC,GAAG,QAAQC,GAAG,QAAQC,GAAG,YAAYC,GAAG,YAAYC,GAAG,aAAaC,GAAG,QAAQC,GAAG,aAAaC,GAAG,SAASC,GAAG,iBAAiBC,GAAG,yBAAyBC,GAAG,UAAUC,GAAG,UAAUC,GAAG,YAAYC,GAAG,YAAYC,GAAG,cAAcC,GAAG,UAAUC,GAAG,wBAAwBC,GAAG,kBAAkBC,GAAG,2BAA2BC,GAAG,SAASC,GAAG,iBAAiBC,GAAG,iBAAiBC,GAAG,gBAAgBC,GAAG,2BAA2BC,GAAG,QAAQC,GAAG,SAASC,GAAG,SAASC,GAAG,cAAcC,GAAG,WAAWC,EAAE,EAAE7oB,GAAG,SAAS8oB,GAAGl6F,EAAE,EAAE,CAAC,MAAM,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,GAAG,EAAE,MAAM,EAAE,CAAC,EAAE,IAAIE,GAAG,GAAGF,KAAKE,GAAG,CAAC,CAAC,SAASi6F,GAAGn6F,EAAE,EAAE,CAAC,OAAO,IAAI,EAAE,CAACA,CAAC,EAAEk6F,GAAGl6F,EAAE,CAAC,CAAC,CAAC,SAASo6F,GAAGp6F,EAAE,EAAE,CAAC,GAAGA,IAAI,EAAE,MAAM,KAAK,IAAIE,EAAE,GAAG,QAAQI,EAAE,EAAEA,EAAEN,EAAEM,IAAIJ,GAAG,EAAEI,GAAGA,EAAEN,EAAE,IAAIE,GAAG,KAAK,OAAOA,CAAC,CAAC,IAAIm6F,GAAG,KAAK,CAAC,YAAYv5F,EAAE,CAAC,GAAG,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAYA,EAAE,KAAK,KAAKA,EAAE,OAAO,KAAK,oBAAoBs0F,GAAG,KAAK,YAAY,MAAM,EAAE,KAAK,OAAO,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA,YAI5+a,CAAC,IAAIl1F,EAAEi6F,GAAG,KAAK,KAAK,IAAI,EAAE,EAAErF,GAAG,KAAK,IAAI,EAAEv0F,EAAE,KAAK,wBAAwBL,CAAC,EAAE6B,EAAE,KAAK,SAAS7B,CAAC,EAAE8B,EAAE,KAAK,UAAU9B,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA,YAEjI;AAAA;AAAA,eAEGK;AAAA;AAAA;AAAA,cAGDwB;AAAA;AAAA,6BAEeC;AAAA;AAAA;AAAA,OAGtB,CAAC,CAAC,mBAAmBlB,EAAE,CAAC,IAAIZ,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,GAAG,EAAE,IAAI,QAAQK,EAAE,EAAEA,GAAG,EAAEA,IAAI,CAAC,IAAIwB,EAAE,GAAG,IAAI,EAAE,IAAI,UAAUxB,IAAI,EAAE,IAAI,QAAQ,QAAQyB,EAAE,EAAEA,EAAE,KAAK,KAAKA,IAAID,EAAE,GAAGjB,EAAEA,EAAE,OAAO,EAAEkB,MAAMD,EAAE7B,EAAE,KAAK6B,CAAC,CAAC,CAAC,OAAO7B,CAAC,CAAC,wBAAwBY,EAAE,CAAC,GAAG,KAAK,OAAO,EAAE,MAAM,QAAQ,KAAK,oBAAoB,WAAW,KAAK,YAAY,KAAK,IAAIZ,EAAE,GAAG,QAAQ,EAAE,KAAK,KAAK,EAAE,EAAE,KAAK,KAAK,IAAIA,GAAG,GAAGY,EAAE,SAAS,KAAK,oBAAoB,YAAY,KAAK,KAAK,YAAY,KAAK,EAAE,KAAK,KAAK,IAAIZ,GAAG,MAAM,OAAOA,CAAC,CAAC,SAASY,EAAE,CAAC,GAAG,KAAK,OAAO,EAAE,MAAM,GAAG,IAAIZ,EAAEY,EAAE,MAAM,EAAE,EAAE,EAAE,KAAK,oBAAoB,YAAY,KAAK,YAAY,KAAK,YAAY,KAAK,KAAK,GAAGP,EAAE,KAAK,oBAAoB,YAAY,KAAK,YAAY,KAAK,YAAY,KAAK,KAAK,GAAG,MAAM;AAAA,gBAC3rBL,EAAE;AAAA,gBACFA,EAAE;AAAA;AAAA;AAAA;AAAA,4BAIU;AAAA,4BACAK;AAAA,KACvB,CAAC,UAAUO,EAAE,CAAC,IAAIZ,EAAE,KAAK,mBAAmBY,CAAC,EAAE,OAAO,KAAK,OAAO,EAAE,wBAAwB,KAAK,oBAAoB,WAAW,KAAK,YAAY,gCAAgC,QAAQZ,EAAE;AAAA,gCAChKA,EAAE;AAAA,gCACFA,EAAE;AAAA,yCACOA,EAAE,KAAK,CAAC,EAAMo6F,GAAG,KAAK,CAAC,YAAYx5F,EAAEZ,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,eAAe,CAAC,CAAC,KAAK,aAAa,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYY,EAAE,KAAK,oBAAoBs0F,GAAG,KAAK,YAAY,MAAM,EAAE,IAAI,EAAE,GAAG,QAAQ70F,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIwB,EAAE,eAAexB,EAAE,IAAI,IAAIwB,GAAG,kBAAkBxB,EAAE,IAAIwB,GAAG,kBAAkB,GAAG;AAAA,UACzXA;AAAA,UACAxB,EAAE,EAAE,0CAA0C;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mBAMrCA;AAAA;AAAA,UAETA,EAAE,EAAE,IAAI;AAAA,OACX,CAAC,KAAK,SAAS;AAAA,QACdg6F,GAAIr6F,EAAE,KAAK,mBAAmB;AAAA,QAC9B,KAAK,oBAAoB6xF,GAAG,EAAED,GAAGhxF,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,qBAQrB,KAAK,oBAAoB,cAAcA,EAAE;AAAA,qBACzC,KAAK,oBAAoB,cAAcA,EAAE;AAAA;AAAA,UAEpD;AAAA;AAAA;AAAA;AAAA,KAIL,CAAC,EAAE,SAASy5F,GAAIv6F,EAAE,EAAE,CAAC,MAAM;AAAA;AAAA,QAExB,EAAE6xF,GAAG,CAAC,IAAI,IAAI,GAAG,EAAE,YAAY,EAAEH,GAAG,CAAC,IAAI,IAAI,GAAG,EAAE1xF,CAAC;AAAA;AAAA;AAAA,GAGxD,CAAC,IAAIw6F,GAAG,KAAK,CAAC,YAAY15F,EAAE,CAAC,KAAK,MAAMA,EAAE,KAAK,gBAAgB,EAAE,KAAK,gBAAgB,EAAE,KAAK,mBAAmB,EAAE,KAAK,cAAc,EAAE,KAAK,aAAa,CAAC,EAAE,KAAK,WAAW,GAAG,KAAK,aAAa,CAAC,CAAC,CAAC,eAAeA,EAAEZ,EAAE,EAAE,CAAC,IAAIK,EAAEk6F,GAAGv6F,EAAE,CAAC,EAAE6B,EAAE24F,GAAG55F,EAAEP,EAAE,CAAC,EAAEwB,KAAK,KAAK,eAAe,KAAK,aAAaA,GAAG,CAAC,GAAGA,KAAK,KAAK,eAAe,KAAK,aAAaA,GAAG,CAAC,GAAG,IAAIC,EAAE24F,GAAG75F,EAAEP,EAAE,KAAK,MAAM,GAAG,KAAK,MAAM,cAAc,CAAC,EAAE,GAAG,KAAK,aAAawB,GAAG,OAAO,EAAE,CAAC,KAAK,kBAAkB,KAAK,kBAAkB,KAAK,eAAeC,EAAE,KAAK,IAAI,EAAE,IAAIE,EAAE,KAAK,aAAaH,GAAG,MAAM,EAAE,OAAO,KAAK,aAAaA,GAAG,KAAKG,CAAC,EAAEA,CAAC,CAAC,IAAID,EAAE,OAAO1B,IAAI+vF,GAAG,mBAAmBruF,EAAE,KAAK,MAAM,0BAA0BnB,EAAE,GAAGA,EAAE,EAAE,EAAEP,IAAI+vF,GAAG,mBAAmBruF,EAAE,KAAK,MAAM,iCAAiCnB,EAAE,GAAGA,EAAE,EAAE,EAAEP,IAAI+vF,GAAG,iBAAiBruF,EAAE,KAAK,MAAM,2BAA2BnB,EAAE,GAAGA,EAAE,EAAE,EAAEP,IAAI+vF,GAAG,iBAAiBruF,EAAE,KAAK,MAAM,2BAA2BnB,EAAE,GAAGA,EAAE,EAAE,EAAEP,IAAI+vF,GAAG,2BAA2BruF,EAAE,KAAK,MAAM,iCAAiCnB,EAAE,GAAGA,EAAE,EAAE,GAAG,KAAK,aAAaiB,GAAG,KAAKE,CAAC,EAAE,KAAK,kBAAkB,KAAK,oBAAoBD,EAAE,KAAK,IAAI,EAAEC,CAAC,CAAC,eAAenB,EAAEZ,EAAE,EAAEK,EAAE,CAAC,GAAG,KAAK,cAAc,KAAK,OAAO,IAAIwB,EAAE04F,GAAG,EAAEl6F,CAAC,EAAEyB,EAAE04F,GAAGx6F,EAAE6B,EAAExB,CAAC,EAAEyB,KAAK,KAAK,eAAe,KAAK,aAAaA,GAAG,CAAC,GAAG,IAAIC,EAAE04F,GAAGz6F,EAAE6B,EAAE,KAAK,MAAM,GAAG,KAAK,MAAM,cAAcxB,CAAC,EAAE2B,EAAEuY,EAAE,EAAE,IAAI,gCAAgC,EAAEvY,IAAI,IAAI,KAAK,mBAAmBA,GAAG,KAAK,MAAM,oBAAoBpB,EAAE,OAAO,EAAE,KAAK,oBAAoBmB,IAAI,KAAK,aAAaD,GAAG,KAAKlB,CAAC,EAAE,KAAK,kBAAkB,KAAK,eAAemB,GAAG,KAAK,kBAAkB,IAAI,EAAE,KAAK,aAAaD,GAAGY,EAAE,EAAE,QAAQ9B,CAAC,EAAE,GAAG8B,EAAE,EAAE,MAAM,IAAI,MAAM,0EAA0E,EAAE,EAAE,OAAOA,EAAE,CAAC,EAAE,KAAK,IAAI,CAAC,CAAC,KAAK,CAAC,GAAG,CAAC,KAAK,WAAW,OAAO,IAAI9B,EAAE,KAAK,gBAAgB,KAAK,gBAAgB,QAAQ,IAAI,YAAY,GAAG,KAAK,qBAAqB,KAAK,kBAAkB,IAAIA,IAAI,EAAE,IAAIZ,EAAE,KAAK,cAAc,KAAK,mBAAmB,QAAQ,IAAI,oBAAoB,KAAK,oBAAoB,EAAE,QAAQ,IAAI,iBAAiB,KAAK,kBAAkB,KAAK,MAAM,IAAIA,CAAC,KAAK,CAAC,CAAC,IAAI,mBAAmB,CAAC,OAAO,KAAK,kBAAkB,CAAC,IAAI,cAAc,CAAC,OAAO,KAAK,aAAa,CAAC,oBAAoB,CAAC,OAAO,KAAK,eAAe,CAAC,oBAAoB,CAAC,OAAO,KAAK,eAAe,CAAC,SAAS,CAAC,GAAG,KAAK,cAAc,KAAK,CAAC,QAAQY,KAAK,KAAK,aAAa,KAAK,aAAaA,GAAG,QAAQZ,GAAG,CAAC,KAAK,MAAM,oBAAoBA,EAAE,OAAO,CAAC,CAAC,EAAE,QAAQY,KAAK,KAAK,aAAa,KAAK,aAAaA,GAAG,QAAQZ,GAAG,CAAC,KAAK,MAAM,oBAAoBA,EAAE,OAAO,CAAC,CAAC,EAAE,KAAK,aAAa,KAAK,KAAK,aAAa,KAAK,KAAK,gBAAgB,EAAE,KAAK,gBAAgB,EAAE,KAAK,mBAAmB,EAAE,KAAK,cAAc,CAAC,CAAC,CAAC,EAAE,SAAS06F,GAAI56F,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,GAAG,IAAIE,EAAE,KAAK,MAAO,GAAE,GAAG,IAAIA,EAAE,KAAK,MAAO,GAA6B,GAAxB,IAAIA,EAAE,SAAqB,IAAIF,EAAE,KAAK,MAAO,IAAG,GAAG,IAAIE,EAAE,QAAQ,MAAO,GAAE,GAAG,IAAIA,EAAE,MAAM,MAAO,GAAE,MAAM,IAAI,MAAM,2BAA2B,GAAG,CAAC,CAAC,SAASy6F,GAAG36F,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAEs6F,GAAI,EAAEv6F,CAAC,EAAE,EAAE,GAAGC,EAAE,CAAC,GAAG,CAAC2B,EAAEC,CAAC,EAAEuuF,GAAG1wF,EAAE,GAAGA,EAAE,EAAE,EAAE,EAAEkC,EAAEC,CAAC,KAAK,CAAC,GAAG,CAACD,EAAEC,CAAC,EAAEouF,GAAGvwF,EAAE,GAAGA,EAAE,EAAE,EAAE,EAAEkC,EAAEC,CAAC,CAAC,IAAIF,EAAE24F,GAAI16F,EAAE,CAAC,EAAE,OAAO,EAAE+B,CAAC,CAAC,SAAS44F,GAAI76F,EAAE,EAAE,CAAC,OAAOA,EAAE,CAAC,KAAKswF,GAAG,mBAAmB,OAAOuG,GAAG,CAAC,EAAE,KAAKvG,GAAG,mBAAmB,OAAOqG,GAAG,CAAC,EAAE,KAAKrG,GAAG,iBAAiB,OAAOsG,GAAG,CAAC,EAAE,KAAKtG,GAAG,iBAAiB,OAAOoG,GAAG,CAAC,EAAE,KAAKpG,GAAG,yBAAyB,OAAOwG,GAAG,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,iCAAiC92F,GAAG,CAAC,CAAC,CAAC,SAAS86F,GAAI96F,EAAE,CAAC,OAAOya,EAAE,EAAE,QAAQ,8BAA8B,EAAEza,EAAEswF,GAAG,mBAAmBA,GAAG,iBAAiBtwF,EAAEswF,GAAG,mBAAmBA,GAAG,gBAAgB,CAAC,SAASmK,GAAGz6F,EAAE,EAAE,CAAC,GAAGA,IAAIqwF,GAAG,OAAO,OAAOC,GAAG,mBAAmB,GAAGtwF,IAAIqwF,GAAG,QAAQrwF,GAAG,KAAK,OAAO86F,GAAI,CAAC,EAAE,GAAG96F,IAAIqwF,GAAG,UAAUrwF,IAAIqwF,GAAG,OAAO,OAAOC,GAAG,yBAAyB,MAAM,IAAI,MAAM,gCAAgCtwF,GAAG,CAAC,CAAC,SAAS06F,GAAG16F,EAAE,EAAEE,EAAE,CAAC,MAAM,GAAGF,EAAE,MAAMA,EAAE,MAAM,KAAKE,GAAG,CAAC,IAAI66F,GAAG,KAAK,CAAC,YAAYj6F,EAAEZ,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAYY,EAAE,KAAK,oBAAoBs0F,GAAG,KAAK,YAAY,MAAM,EAAE,KAAK,SAAS;AAAA;AAAA,UAE9wHl1F;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KASL,CAAC,EAAE86F,GAAG,0BAA0BC,GAAG,YAAYC,GAAG,iBAAqBC,GAAG,0CAA0CC,GAAGJ,GAAG;AAAA;AAAA,EAE7HK,GAAGL,GAAG;AAAA;AAAA,EAENM,GAAG,YAAYC,GAAG,sCAA0CC,GAAG,YAAYC,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAS9EC,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUHC,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUHC,GAAG,sCAAsCC,GAAG,KAAK,CAAC,YAAY/6F,EAAEZ,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAYY,EAAE,KAAK,oBAAoBs0F,GAAG,KAAK,YAAY,MAAM,EAAE,KAAK,SAAS;AAAA;AAAA,UAEpNl1F;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KASL,CAAC,EAAM47F,GAAG,KAAK,CAAC,YAAYh7F,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAYA,EAAE,KAAK,oBAAoBs0F,GAAG,KAAK,YAAY,MAAM,EAAE,IAAIl1F,EAAEY,EAAE,OAAO,EAAEq5F,GAAG,KAAKj6F,CAAC,EAAEK,EAAEu0F,GAAG50F,CAAC,EAAE6B,EAAEq4F,GAAGl6F,EAAE,CAAC,EAAE8B,EAAE,EAAE,MAAM,EAAE,EAAEC,EAAE/B,GAAG,EAAE,KAAK,QAAQ8B,EAAE,KAAK,GAAG,KAAK,KAAK,SAAS;AAAA;AAAA,UAElRzB;AAAA,kCACwBwB;AAAA;AAAA,4CAEUE;AAAA;AAAA,KAEvC,CAAC,EAAM85F,GAAI79C,GAAG,UAAU89C,GAAI,KAAKC,GAAI,KAAKC,GAAG,CAAC,EAAE,SAASC,GAAIn8F,EAAE,CAAC,OAAOA,KAAKk8F,KAAKA,GAAGl8F,GAAG,CAAC,GAAGk8F,GAAGl8F,EAAE,CAAC,IAAIo8F,GAAI3hF,EAAE,EAAE,UAAU,4BAA4B,EAAE4hF,GAAI,IAAI,SAASC,IAAK,CAAC,OAAO7hF,EAAE,EAAE,OAAO,QAAQ,KAAK,KAAKA,EAAE,EAAE,OAAO,OAAO,OAAOA,EAAE,EAAE,OAAO,OAAO,MAAM,OAAO,iBAAiB4hF,GAAI,KAAK,IAAI,CAAC,IAAIE,GAAG,cAAcnlF,EAAE,CAAC,YAAYtW,EAAE,CAAC,GAAG,MAAM,EAAE,KAAK,YAAY,IAAI,QAAQ,KAAK,gBAAgB,IAAI,QAAQ,KAAK,aAAa,IAAI,QAAQ,KAAK,cAAc,EAAE,KAAK,aAAa,EAAE,KAAK,eAAe,EAAE,KAAK,gBAAgB,EAAE,KAAK,kBAAkB,GAAG,KAAK,eAAe,EAAE,KAAK,SAAS,GAAG,CAAC2Z,EAAE,EAAE,QAAQ,WAAW,EAAE,MAAM,IAAI,MAAM,uCAAuC,EAAE,IAAIva,EAAE,GAAGY,GAAG,KAAK,CAAC,GAAGA,aAAao2F,GAAGh3F,EAAEY,MAAM,CAAC,IAAI,EAAEmvF,GAAGx1E,EAAE,EAAE,UAAU,eAAe,EAAE3Z,CAAC,EAAEZ,EAAE,IAAIg3F,GAAG,CAAC,CAAC,CAAC,KAAK,YAAY,CAAC,EAAE,KAAK,oBAAoB,EAAE,KAAK,CAAC,IAAI,EAAEjH,GAAGx1E,EAAE,EAAE,UAAU,eAAe,CAAC,EAAEva,EAAE,IAAIg3F,GAAG,CAAC,EAAE,KAAK,YAAYiF,GAAI1hF,EAAE,EAAE,UAAU,eAAe,CAAC,EAAE,KAAK,oBAAoB,EAAE,CAAC,KAAK,MAAMva,EAAE,KAAK,OAAO,KAAK,MAAM,GAAG,OAAO,KAAK,eAAe,IAAIs6F,GAAG,KAAK,KAAK,EAAE,KAAK,mBAAmB8B,GAAI,EAAE,KAAK,QAAQ,IAAInlF,GAAG,KAAKkc,GAAG,CAAC,CAAC,CAAC,YAAY,CAAC,OAAOkpE,GAAG,YAAY,CAAC,YAAY,CAAC,OAAO,KAAK,QAAQ,WAAW,EAAE,KAAK,cAAc,CAAC,MAAMz7F,EAAEZ,EAAE,EAAE,CAAC,IAAIua,EAAE,EAAE,QAAQ,gCAAgC,GAAGA,EAAE,EAAE,QAAQ,OAAO,IAAI,KAAK,uBAAuB3Z,CAAC,EAAE,IAAI,aAAaA,GAAG,KAAK,MAAM,IAAI,MAAM,uEAAuE,EAAE,IAAIP,EAAE,CAAC,GAAG,KAAK,WAAW,CAAC,EAAE,OAAO,KAAK,QAAQ,IAAIA,EAAE,CAAC,MAAML,EAAE,MAAM,EAAE,OAAOY,EAAE,MAAMuvF,GAAG,OAAO,SAAS,CAAC,CAAC,EAAE9vF,CAAC,CAAC,SAASO,EAAE,CAAC,OAAO,KAAK,QAAQ,IAAIA,CAAC,EAAE,KAAK,QAAQ,IAAIA,CAAC,EAAE,SAAS,CAAC,CAAC,OAAOA,EAAE,CAAC,IAAIZ,EAAE,KAAK,QAAQ,IAAIY,CAAC,EAAEZ,EAAE,UAAU,CAAC,OAAOY,EAAE,CAAC,GAAG,KAAK,QAAQ,IAAIA,CAAC,EAAE,CAAC,IAAIZ,EAAE,KAAK,QAAQ,IAAIY,CAAC,EAAEZ,EAAE,UAAU,CAAC,CAAC,KAAKY,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,GAAG0Y,EAAE,EAAE,QAAQ,OAAO,GAAG,KAAK,uBAAuBva,CAAC,EAAEK,IAAI,YAAY,MAAM,IAAI,MAAM,uEAAuE,EAAE,KAAK,QAAQ,IAAIO,EAAE,CAAC,MAAM,EAAE,MAAMP,EAAE,OAAOL,EAAE,MAAMmwF,GAAG,OAAO,SAAStuF,CAAC,CAAC,CAAC,CAAC,8BAA8BjB,EAAE,CAAC,KAAK,YAAYA,EAAE,MAAM,CAAC,CAAC,SAASA,EAAE,CAAC,IAAIZ,EAAE,KAAK,QAAQ,IAAIY,CAAC,EAAE,CAAC,OAAO,EAAE,MAAMP,EAAE,mBAAmBwB,EAAE,MAAMC,EAAE,MAAMC,EAAE,SAASC,CAAC,EAAEhC,EAAE,GAAG8B,GAAG,KAAK,CAAC,IAAIc,EAAEZ,EAAEY,EAAE,IAAI+4F,GAAG55F,EAAEq5F,EAAE,EAAEx4F,EAAE,IAAIi4F,GAAG94F,EAAEq5F,EAAE,EAAE,IAAIv4F,EAAE,KAAK,gBAAgBD,EAAE,CAAC,CAAC,OAAOhC,EAAE,MAAMmB,EAAE,MAAM1B,CAAC,CAAC,EAAEA,CAAC,EAAEyC,EAAE,KAAK,SAASD,EAAE,MAAM,EAAE,OAAO,KAAK,8BAA8BA,CAAC,EAAEC,CAAC,CAAC,GAAG,GAAG,KAAK,OAAO,KAAK,qBAAqBlC,CAAC,EAAE,GAAGP,IAAI,SAAS,OAAO,EAAE,IAAI,EAAE,KAAK,cAAc,KAAKqC,EAAE,IAAIA,EAAEikB,EAAE,IAAI,GAAG,IAAI,EAAE,GAAGtmB,IAAI,YAAY,CAAC,IAAIuC,EAAE,KAAK,SAASf,EAAE,KAAK,MAAM,EAAEgB,EAAE,KAAK,SAAShB,EAAE,KAAK,MAAM,EAAE,EAAEs4C,EAAE,uBAAuBv3C,EAAEC,CAAC,CAAC,MAAM,EAAE,KAAK,qBAAqBjC,CAAC,EAAE,OAAO,IAAI,KAAK,gBAAgB+lB,EAAE,IAAI,EAAEjkB,GAAG,KAAK,qBAAqB9B,EAAE,CAAC,CAAC,CAAC,MAAM,KAAKA,EAAE,CAAC,GAAG,KAAK,YAAY,IAAIA,CAAC,EAAE,CAAC,IAAIkC,EAAE,KAAK,YAAY,IAAIlC,CAAC,EAAE,OAAO,IAAI,QAAQoD,GAAGlB,EAAE,KAAKkB,CAAC,CAAC,CAAC,CAAC,IAAIhE,EAAE,KAAK,QAAQ,IAAIY,CAAC,EAAE,CAAC,OAAO,EAAE,MAAMP,EAAE,MAAMwB,EAAE,MAAMC,EAAE,mBAAmBC,EAAE,SAASC,CAAC,EAAEhC,EAAE,GAAG6B,GAAG,KAAK,CAAC,IAAIiB,EAAEd,EAAEc,EAAE,IAAI64F,GAAGt7F,EAAE+6F,EAAE,EAAEt4F,EAAE,IAAI+3F,GAAGx6F,EAAE+6F,EAAE,EAAE,IAAIp3F,EAAE,KAAK,gBAAgBlB,EAAE,CAAC,CAAC,OAAOlC,EAAE,MAAMP,EAAE,MAAMyB,CAAC,CAAC,EAAEA,CAAC,EAAEmC,EAAE,KAAK,KAAKD,EAAE,MAAM,EAAE,OAAO,KAAK,8BAA8BA,CAAC,EAAEC,CAAC,CAAC,GAAG,GAAG,KAAK,OAAO,KAAK,qBAAqBrD,CAAC,EAAE,GAAG2Z,EAAE,EAAE,QAAQ,OAAO,GAAG,CAACA,EAAE,EAAE,QAAQ,8BAA8B,GAAGA,EAAE,EAAE,UAAU,eAAe,IAAI,EAAE,MAAM,IAAI,MAAM,8FAA8F,EAAE,IAAI,EAAE,KAAK7X,EAAE,GAAGZ,IAAI,aAAayY,EAAE,EAAE,IAAI,wBAAwB,EAAE,CAAC7X,EAAE,KAAK,OAAO9B,CAAC,EAAE,IAAIkC,EAAE,KAAK,QAAQ,IAAIJ,EAAE,MAAM,EAAE,EAAE,KAAK,MAAM,wBAAwBI,EAAE,QAAQ,QAAQ,GAAGytF,GAAGlwF,CAAC,CAAC,CAAC,CAAC,KAAK,YAAY,IAAIO,EAAE,CAAC,CAAC,EAAEkB,IAAI,aAAa,MAAM,KAAK,MAAM,sBAAsB,EAAE,IAAI,EAAE,GAAGA,IAAI,YAAY,CAAC,IAAIgB,EAAE,MAAM,QAAQ,IAAI,CAAC,KAAK,KAAKf,EAAE,KAAK,MAAM,EAAE,KAAK,KAAKA,EAAE,KAAK,MAAM,CAAC,CAAC,EAAEiC,EAAElB,EAAE,GAAGmB,EAAEnB,EAAE,GAAG,EAAEq3C,EAAE,uBAAuBn2C,EAAEC,CAAC,CAAC,SAAS,GAAG,KAAK,EAAE,KAAK,qBAAqBrD,CAAC,MAAM,CAAC,IAAIkC,EAAE6jB,EAAE,cAActmB,CAAC,EAAE,EAAE,KAAK,MAAM,gCAAgC,EAAEyC,CAAC,CAAC,CAAC,GAAGJ,GAAG,MAAM,KAAK,8BAA8BA,CAAC,EAAE,GAAG,KAAK,CAAC,IAAII,EAAE,KAAK,MAAM,GAAGyqF,GAAGzqF,EAAE,IAAIA,EAAE,aAAa,CAAC,CAAC,CAAC,CAAC,IAAIF,EAAE,KAAK,qBAAqBhC,EAAE,CAAC,EAAEiC,EAAE,KAAK,YAAY,IAAIjC,CAAC,EAAE,OAAO,KAAK,YAAY,OAAOA,CAAC,EAAEiC,EAAE,QAAQC,GAAGA,EAAEF,CAAC,CAAC,EAAE,KAAK,gBAAgB,IAAIhC,CAAC,IAAI,KAAK,gBAAgB,OAAOA,CAAC,EAAE,KAAK,YAAYA,CAAC,GAAGuyB,GAAG,EAAE,aAAavyB,EAAE,IAAI,EAAE,KAAK,kBAAkBgC,CAAC,CAAC,UAAUhC,EAAEZ,EAAE,CAAC,EAAE,CAAC,IAAI,EAAE,KAAK,QAAQ,IAAIY,CAAC,EAAE,CAAC,OAAOP,EAAE,MAAMwB,EAAE,MAAMC,EAAE,MAAMC,EAAE,SAASC,EAAE,QAAQ,CAAC,EAAE,EAAE,GAAGD,IAAI,YAAY,MAAM,IAAI,MAAM,uDAAuD,EAAE,GAAGD,GAAG,KAAK,CAAC,IAAIe,EAAEb,EAAEa,EAAE,IAAI84F,GAAG95F,EAAEu5F,EAAE,EAAEv4F,EAAE,IAAIg4F,GAAGh5F,EAAEu5F,EAAE,EAAE,IAAIt4F,EAAE,KAAK,gBAAgBD,EAAE,CAAC,CAAC,OAAOjC,EAAE,MAAMiB,EAAE,MAAME,CAAC,CAAC,EAAEA,CAAC,EAAEiC,EAAE,KAAK,UAAUlB,EAAE9C,CAAC,EAAE,OAAO,KAAK,8BAA8B8C,CAAC,EAAEkB,CAAC,CAAC,GAAG,GAAG,KAAK,MAAM3D,GAAG,KAAK,IAAI,MAAM,gCAAgC,EAAE,IAAI,MAAM,iCAAiC,EAAE,IAAIqC,EAAE,KAAK,OAAO9B,EAAEZ,EAAE,cAAc,EAAE,EAAEmzB,GAAG,EAAE,yBAAyBzwB,CAAC,EAAEE,EAAE,KAAK,QAAQ,IAAIF,EAAE,MAAM,EAAE,OAAO,OAAO,OAAO,CAAC,UAAU,CAAC,EAAEE,EAAE,OAAO,CAAC,CAAC,WAAWhC,EAAE,CAAC,IAAIZ,EAAE,KAAK,SAASY,EAAE,MAAM,EAAE,GAAGA,EAAE,QAAQ,SAAS,GAAG,CAAC,IAAI,EAAEZ,EAAE,IAAIK,GAAGsmB,EAAE,aAAatmB,CAAC,CAAC,EAAE,OAAO+vB,GAAGxvB,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,OAAO,EAAN,CAAS,MAAM,IAAI,MAAM,kDAAkD,CAAC,CAAC,OAAOwvB,GAAGxvB,EAAE,MAAMA,EAAE,MAAMZ,CAAC,CAAC,CAAC,uBAAuBY,EAAE,CAAC,GAAGA,GAAG,KAAK,QAAQZ,EAAE,EAAEA,EAAEY,EAAE,OAAOZ,IAAI,CAAC,IAAI,EAAEY,EAAEZ,GAAG,GAAG,CAACwtF,GAAG,CAAC,EAAE,MAAMjzE,EAAE,EAAE,QAAQ,8BAA8B,EAAE,MAAM,aAAa,gJAAgJ,EAAE,MAAM,aAAa,yCAAyC,CAAC,CAAC,CAAC,qBAAqB3Z,EAAE,CAAC,GAAG,CAAC,MAAMZ,EAAE,MAAM,EAAE,SAASK,CAAC,EAAE,KAAK,QAAQ,IAAIO,CAAC,EAAEiB,EAAE8kB,EAAE,cAAc3mB,CAAC,EAAE,GAAGua,EAAE,EAAE,QAAQ,8BAA8B,EAAE,CAAC,IAAI3X,EAAE,KAAK,OAAOhC,CAAC,EAAEiC,EAAE,KAAK,QAAQ,IAAID,EAAE,MAAM,EAAEE,EAAE,KAAK,MAAM,gCAAgCD,EAAE,QAAQ,QAAQ,GAAG0tF,GAAGvwF,CAAC,CAAC,EAAE,SAAS,EAAE6B,CAAC,EAAE,OAAO,KAAK,8BAA8Be,CAAC,EAAEE,CAAC,CAAC,IAAIhB,EAAEyY,EAAE,EAAE,QAAQ,YAAY,GAAGla,IAAI,GAAG0B,EAAED,EAAE0sF,GAAGxuF,CAAC,EAAEA,EAAEgC,EAAEF,EAAE,IAAIwzF,GAAGvzF,CAAC,EAAE,IAAIszF,GAAGtzF,CAAC,EAAE,EAAE,KAAK,gBAAgBC,EAAE,CAAC,CAAC,MAAMD,EAAE,MAAM,EAAE,OAAOnB,CAAC,CAAC,EAAE,SAAS,EAAE8B,EAAE,KAAK,QAAQ,IAAI,EAAE,MAAM,EAAE,EAAE,KAAK,MAAM,gDAAgDA,EAAE,QAAQ,QAAQA,EAAE,SAAS,GAAGA,EAAE,SAAS,EAAE,EAAE,SAAS,EAAEb,CAAC,EAAE,OAAO,KAAK,8BAA8B,CAAC,EAAE,CAAC,CAAC,gBAAgB,CAAC,OAAO0Y,EAAE,EAAE,UAAU,+CAA+C,EAAE,CAAC,CAAC,KAAK3Z,EAAE,CAAC,IAAIZ,EAAE,KAAK,aAAa,EAAE,CAAC,EAAEK,EAAE,GAAG,KAAK,oBAAoB,MAAM,KAAK,mBAAmB,EAAEA,EAAE,IAAI,KAAK,aAAa,KAAK,CAAC,EAAE,KAAK,aAAa,EAAEO,EAAE,EAAE,IAAIiB,EAAE8kB,EAAE,QAAQ,KAAK,aAAa,IAAI3kB,GAAGA,EAAE,KAAK,CAAC,EAAE,OAAOA,GAAGA,GAAG,IAAI,EAAEF,EAAE6kB,EAAE,QAAQ,KAAK,aAAa,IAAI3kB,GAAGA,EAAE,IAAI,CAAC,EAAE,OAAOA,GAAGA,GAAG,IAAI,EAAE,KAAK,aAAahC,EAAEK,IAAI,KAAK,mBAAmB,MAAM,IAAI0B,EAAE,CAAC,aAAa,KAAK,aAAa,eAAe,KAAK,eAAe,SAAS,KAAK,OAAO,IAAI,EAAE,OAAO,SAAS,CAAC,GAAGwY,EAAE,EAAE,UAAU,+CAA+C,EAAE,EAAE,CAAC,IAAIvY,EAAE,MAAM,QAAQ,IAAIH,CAAC,EAAEE,EAAE,SAAS4kB,EAAE,IAAI3kB,CAAC,EAAED,EAAE,oBAAoB,IAAIC,EAAE,IAAI,CAAC,EAAEU,KAAK,CAAC,KAAKZ,EAAEY,GAAG,GAAG,CAAC,EAAE,EAAE,IAAI,GAAG,GAAG,EAAE,SAAS,EAAE,IAAI,EAAE,KAAK,IAAI,CAAC,MAAMX,EAAE,SAAS,CAAC,MAAM,2DAA2D,EAAE,OAAO,KAAK,aAAa,EAAE,KAAK,eAAe,EAAEA,CAAC,GAAG,CAAC,CAAC,QAAQ,CAAC,MAAM,CAAC,WAAW,GAAG,cAAc,KAAK,cAAc,uBAAuB,KAAK,eAAe,kBAAkB,kBAAkB,KAAK,eAAe,YAAY,CAAC,CAAC,YAAY,CAAC,OAAOwY,EAAE,EAAE,UAAU,+CAA+C,EAAE,EAAE,KAAK,MAAM,WAAW,EAAE,CAAC,QAAQoM,EAAE,IAAI,EAAE,MAAM,IAAI,CAAC,CAAC,SAAS/lB,EAAE,CAAC,OAAO2Z,EAAE,EAAE,UAAU,+CAA+C,EAAE,GAAG,KAAK,MAAM,SAAS,EAAE3Z,IAAIA,EAAE,MAAM+lB,EAAE,IAAI,EAAE/lB,EAAE,CAAC,MAAM,aAAaA,EAAE,CAAC,GAAG2Z,EAAE,EAAE,UAAU,+CAA+C,EAAE,EAAE,OAAO,KAAK,MAAM,uBAAuB3Z,CAAC,EAAE,IAAIZ,EAAEY,EAAE,OAAOZ,EAAE,MAAMA,EAAE,OAAO,CAAC,YAAYY,EAAEZ,EAAE,GAAG,CAAC,GAAG,KAAK,gBAAgB,IAAIY,CAAC,EAAE,MAAM,GAAG,GAAG,CAAC,KAAK,QAAQ,IAAIA,CAAC,EAAE,MAAM,GAAG,GAAGZ,EAAE,KAAK,QAAQ,IAAIY,CAAC,EAAE,SAAS,EAAE,KAAK,QAAQ,IAAIA,CAAC,EAAE,WAAW,CAACZ,GAAG,KAAK,QAAQ,IAAIY,CAAC,EAAE,SAAS,EAAE,MAAM,GAAG,GAAG,KAAK,YAAY,IAAIA,CAAC,EAAE,OAAO,KAAK,gBAAgB,IAAIA,CAAC,EAAE,KAAK,iBAAiB,GAAG,KAAK,eAAeA,CAAC,EAAE,GAAG,CAAC,mBAAmB,CAAC,EAAE,KAAK,QAAQ,IAAIA,CAAC,EAAE,OAAO,GAAG,OAAO,KAAK,YAAY,EAAE,KAAK,OAAOZ,CAAC,EAAE,KAAK,YAAY,EAAE,KAAK,OAAOA,CAAC,GAAG,KAAK,QAAQ,OAAOY,CAAC,EAAE,EAAE,CAAC,eAAeA,EAAE,CAAC,GAAG,CAAC,QAAQZ,EAAE,MAAM,EAAE,SAASK,EAAE,MAAMwB,EAAE,SAASC,EAAE,MAAMC,CAAC,EAAE,KAAK,QAAQ,IAAInB,CAAC,EAAEoB,EAAED,GAAGA,EAAE,YAAYnB,EAAE,EAAE,KAAK,aAAa,IAAIoB,CAAC,EAAE,EAAE,EAAE,KAAK,aAAa,IAAIA,EAAE,EAAE,CAAC,GAAG,KAAK,aAAa,OAAOA,CAAC,EAAEhC,GAAG,OAAO,KAAK,eAAe,KAAK,aAAaK,EAAE,CAAC,EAAE,KAAK,eAAe,eAAeL,EAAEK,EAAEwB,EAAEC,CAAC,IAAI,IAAIY,EAAE,KAAK,QAAQ,IAAI9B,CAAC,EAAE8B,EAAE,QAAQ,KAAKA,EAAE,SAAS,KAAKA,EAAE,SAAS,GAAGA,EAAE,MAAM,IAAI,CAAC,WAAW9B,EAAE,CAAC,OAAO,KAAK,YAAYA,CAAC,EAAE,KAAK,QAAQ,IAAIA,CAAC,EAAE,QAAQ,OAAO,CAAC,YAAYA,EAAE,CAAC,OAAO,KAAK,QAAQ,IAAIA,CAAC,CAAC,CAAC,mBAAmBA,EAAEZ,EAAEk8F,GAAI,CAAC,OAAO3hF,EAAE,EAAE,QAAQ,mBAAmB,GAAG3Z,EAAE,MAAM,GAAG,KAAK,QAAQ,IAAI,EAAE,MAAM,EAAE,SAAS,MAAM+lB,EAAE,cAAc,EAAE,KAAK,EAAE3mB,CAAC,CAAC,CAAC,iBAAiB,CAAC,OAAO,KAAK,KAAK,CAAC,MAAMY,EAAE,CAACu5C,EAAE,KAAK,uEAAuE,EAAE,IAAIn6C,EAAEY,EAAE,SAAS,EAAE,OAAOi7F,GAAIj7F,EAAE,MAAMZ,CAAC,CAAC,CAAC,cAAcY,EAAEZ,EAAE,EAAE,CAAC,IAAIK,EAAE,IAAIs7F,GAAG/6F,EAAE,MAAMZ,CAAC,EAAE6B,EAAE,KAAK,cAAcxB,EAAE,CAACO,CAAC,EAAE,CAAC,EAAE,OAAOuyB,GAAG,EAAE,yBAAyBtxB,CAAC,CAAC,CAAC,IAAIjB,EAAE,CAAC,GAAG,KAAK,mBAAmB,CAACA,CAAC,CAAC,GAAGA,EAAE,QAAQ,YAAY,CAAC,IAAIP,EAAE44F,GAAG,KAAK,QAAQ,IAAIr4F,EAAE,MAAM,EAAE,MAAM,EAAE,OAAO,KAAK,WAAWA,EAAE,MAAMA,EAAE,MAAMP,CAAC,CAAC,CAAC,GAAGka,EAAE,EAAE,QAAQ,6BAA6B,EAAE,OAAO,KAAK,cAAc3Z,EAAEo6F,GAAGp6F,EAAE,KAAK,EAAE,IAAIZ,EAAE,IAAI66F,GAAGj6F,EAAE,MAAMo6F,EAAE,EAAE,EAAE,KAAK,cAAch7F,EAAE,CAACY,CAAC,CAAC,EAAE,OAAOuyB,GAAG,EAAE,yBAAyB,CAAC,CAAC,CAAC,eAAevyB,EAAEZ,EAAE,EAAE,CAAC,IAAIK,EAAE,GAAGL,IAAI,UAAU,GAAG,MAAM,EAAE,OAAO,GAAG2mB,EAAE,SAAS,EAAE,EAAE,EAAE,CAAC,IAAI9kB,EAAE,EAAE,IAAIC,GAAG6kB,EAAE,aAAa7kB,CAAC,CAAC,EAAEzB,EAAE,KAAK,MAAMwB,EAAEjB,EAAEZ,CAAC,CAAC,MAAMK,EAAE,KAAK,MAAM,EAAEO,EAAEZ,CAAC,EAAE,OAAO,KAAK,QAAQ,IAAIK,CAAC,EAAE,MAAM,KAAK,CAAC,OAAOA,EAAE,MAAMO,EAAE,MAAMZ,CAAC,CAAC,CAAC,WAAWY,EAAEZ,EAAE,EAAE,CAAC,OAAOmzB,GAAG,EAAE,yBAAyB,KAAK,eAAevyB,EAAEZ,EAAE,CAAC,EAAE,IAAI,CAAC,CAAC,aAAaY,EAAE,CAAC,IAAIZ,EAAE,IAAI47F,GAAGh7F,EAAE,KAAK,EAAE,OAAO,KAAK,gBAAgBZ,EAAE,CAACY,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,WAAWA,EAAE,CAAC,IAAIZ,EAAE,IAAIm6F,GAAGv5F,EAAE,KAAK,EAAE,EAAE,GAAG,OAAO,KAAK,gBAAgBZ,EAAE,CAACY,CAAC,EAAEA,EAAE,MAAM,KAAK,CAAC,CAAC,CAAC,cAAcA,EAAEZ,EAAE,CAAC,IAAI,EAAE,CAACguF,GAAGptF,EAAE,KAAK,EAAE,GAAG2tF,GAAG3tF,EAAE,KAAK,CAAC,EAAEP,EAAE,CAAC,MAAMO,EAAE,MAAM,MAAM,EAAE,OAAOA,EAAE,MAAM,EAAEiB,EAAE,CAACmsF,GAAGhuF,CAAC,EAAE,GAAGuuF,GAAGvuF,CAAC,CAAC,EAAE8B,EAAE,IAAIs4F,GAAGv4F,EAAE,CAAC,EAAEE,EAAE,GAAGC,EAAE,CAAC,CAAC,EAAE,EAAE,KAAK,gBAAgBF,EAAE,CAACzB,CAAC,EAAEO,EAAE,MAAMoB,EAAED,CAAC,EAAE,MAAM,CAAC,OAAO,EAAE,OAAO,MAAM/B,EAAE,MAAM,EAAE,KAAK,CAAC,CAAC,OAAOY,EAAEZ,EAAE,CAAC,IAAI,EAAE,KAAK,QAAQ,IAAIY,CAAC,EAAE,CAAC,SAASP,EAAE,MAAMwB,EAAE,MAAMC,CAAC,EAAE,EAAE,GAAG9B,GAAG,KAAK,CAAC,IAAI4C,EAAE+jB,EAAE,cAAc9kB,CAAC,EAAEgB,EAAE7C,EAAE,GAAGA,EAAE,GAAG,EAAE2mB,EAAE,OAAO/jB,GAAGC,EAAE,IAAI,2GAA2G,CAAC,CAAC,IAAId,EAAEysF,GAAG3sF,CAAC,EAAEG,EAAE3B,EAAE2B,EAAE,IAAIozF,GAAGrzF,CAAC,EAAEC,EAAE,IAAImzF,GAAGpzF,CAAC,EAAE,IAAI,EAAE,GAAGW,EAAE,CAAC1C,GAAG,KAAKA,EAAEuwF,GAAGxuF,CAAC,CAAC,EAAE,EAAE,KAAK,gBAAgBC,EAAE,CAAC,CAAC,MAAMD,EAAE,MAAMD,EAAE,OAAOlB,CAAC,CAAC,EAAEkB,EAAEY,EAAE,EAAE1C,CAAC,EAAE,MAAM,CAAC,MAAM8B,EAAE,MAAMD,EAAE,OAAO,EAAE,MAAM,CAAC,CAAC,gBAAgBjB,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,GAAGC,EAAE,CAAC,IAAIC,EAAE,KAAK,eAAenB,EAAE,YAAY,CAAC,EAAEoB,EAAE,KAAK,QAAQ,IAAID,EAAE,MAAM,EAAE,GAAGnB,EAAE,eAAeoB,EAAE,SAAS,IAAIpB,EAAE,mBAAmBsvF,GAAG,MAAM,CAAC,IAAI7oF,EAAEvF,GAAG,KAAKA,EAAEyuF,GAAG3vF,EAAE,WAAW,EAAEoB,EAAE,SAASqF,EAAE,IAAI,GAAG,EAAE,CAAC,CAAC,CAAC,GAAGzG,EAAE,aAAa,OAAOoB,EAAE,MAAMpB,EAAE,aAAa+lB,EAAE,cAAc5kB,EAAE,KAAK,IAAI,EAAE,OAAOC,EAAE,OAAO2kB,EAAE,uBAAuB5kB,EAAE,MAAM,CAAC,EAAEA,EAAE,IAAI,EAAE,CAAC,EAAEW,EAAE1C,EAAE,IAAIqH,GAAG,CAAC,GAAGA,EAAE,QAAQ,YAAY,MAAM,IAAI,MAAM,iIAAiI,EAAE,IAAI,EAAE,KAAK,QAAQ,IAAIA,EAAE,MAAM,EAAE,GAAG,EAAE,SAAS,KAAK,CAAC,GAAG,CAACzG,EAAE,cAAc+lB,EAAE,cAActf,EAAE,KAAK,GAAGkT,EAAE,EAAE,UAAU,2BAA2B,EAAE,MAAM,CAAC,MAAMlT,EAAE,MAAM,QAAQ,KAAK,UAAU,GAAG,cAAc,EAAE,MAAM,EAAEzG,EAAE,eAAe,EAAE,SAAS,GAAG,EAAE,MAAMyG,EAAE,MAAM,CAAC,GAAG,KAAK,YAAYA,EAAE,MAAM,EAAE,CAAC,CAAC,EAAE,UAAU,CAAC,CAACzG,EAAE,aAAayG,EAAE,EAAE,SAAS,KAAK,aAAaA,CAAC,EAAE,KAAK,WAAWA,CAAC,EAAE,EAAE,KAAKA,CAAC,EAAE,EAAE,KAAK,QAAQ,IAAIA,EAAE,MAAM,UAAU,EAAE,UAAU,CAAC2nF,GAAG,EAAE,MAAM3nF,EAAE,KAAK,EAAE,CAAC,IAAI5C,EAAE4C,EAAE3C,EAAE2C,EAAE,MAAMA,EAAE,MAAM,EAAE,MAAMA,EAAE,KAAK,cAAcA,EAAE3C,CAAC,EAAE,EAAE,KAAK2C,CAAC,EAAE,EAAE,KAAK,QAAQ,IAAIA,EAAE,MAAM,EAAE5C,EAAE,MAAMC,CAAC,CAAC,MAAM,CAAC,MAAM2C,EAAE,MAAM,QAAQ,EAAE,UAAU,EAAE,CAAC,CAAC,EAAE,KAAK,YAAYtF,EAAE,MAAM,EAAE,IAAI,EAAE,CAAC,MAAMA,EAAE,MAAM,QAAQC,EAAE,UAAU,EAAE,EAAEY,EAAEqyF,GAAGr0F,EAAE8B,EAAE,CAAC,EAAEG,EAAE,KAAK,iBAAiBD,EAAE,IAAIiyF,GAAG,KAAK,MAAMj0F,EAAE8B,EAAE,CAAC,CAAC,EAAEI,EAAE,KAAK,cAAc,KAAKkB,EAAElB,IAAIkB,EAAE,KAAK,WAAW,GAAGuW,EAAE,EAAE,IAAI,qBAAqB,GAAGy6E,GAAG,KAAK,MAAMnyF,EAAEH,EAAE,EAAErC,CAAC,EAAE,EAAE,QAAQgH,GAAG,KAAK,8BAA8BA,CAAC,CAAC,EAAEvE,IAAIkB,EAAE,KAAK,SAASA,CAAC,EAAE,KAAK,aAAa,KAAK,CAAC,KAAKpD,EAAE,YAAY,KAAK,MAAM,KAAK,aAAaoD,CAAC,CAAC,CAAC,GAAG,IAAIC,EAAEsW,EAAE,EAAE,IAAI,uBAAuB,EAAE,GAAGtW,EAAE,EAAE,CAAC,IAAIoD,EAAEsf,EAAE,IAAI,EAAEtf,EAAE,KAAK,gBAAgBpD,IAAI,KAAK,MAAM,GAAG,MAAM,EAAE,KAAK,gBAAgBoD,EAAE,CAAC,GAAG,CAACkT,EAAE,EAAE,QAAQ,qBAAqB,GAAGvY,EAAE,UAAUH,IAAI,GAAG,CAAC,IAAIwF,EAAE,KAAK,aAAatF,CAAC,EAAE,OAAO,KAAK,8BAA8BA,CAAC,EAAEsF,CAAC,CAAC,OAAOtF,CAAC,CAAC,cAAcnB,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,GAAG,CAAC,OAAO,EAAE,GAAG7B,EAAE,GAAG,MAAM,KAAK,gBAAgBY,EAAEZ,EAAE,EAAEK,EAAEwB,CAAC,CAAC,CAAC,iBAAiBjB,EAAEZ,EAAE,CAAC,OAAOY,KAAK,KAAK,cAAc,KAAK,YAAYA,GAAGZ,EAAE,GAAG,KAAK,YAAYY,EAAE,CAAC,mBAAmB,CAAC,OAAO,KAAK,cAAc,CAAC,SAAS,CAAC,KAAK,WAAW2Z,EAAE,EAAE,QAAQ,SAAS,GAAG,OAAO,KAAK,KAAK,WAAW,EAAE,QAAQ,GAAG,CAAC,KAAK,MAAM,cAAc,KAAK,YAAY,GAAG,YAAY,EAAE,OAAO,KAAK,YAAY,EAAE,CAAC,EAAE,KAAK,eAAe,QAAQ,EAAE,KAAK,QAAQ,MAAM,OAAO,mBAAmB,aAAa,KAAK,kBAAkB,kBAAkB,KAAK,OAAO,OAAO,EAAE,KAAK,OAAO,KAAK,KAAK,sBAAsB,KAAK,MAAM,QAAQ,KAAK,KAAK,MAAM,QAAQ,GAAG,KAAK,SAAS,GAAG,CAAC,gBAAgB,CAAC,OAAO,KAAK,qBAAqB,OAAO,KAAK,oBAAoB+Y,EAAE,IAAI,CAAC,GAAG,CAAC/Y,EAAE,EAAE,IAAI,8BAA8B,EAAE,CAAC,IAAI3Z,EAAE2Z,EAAE,EAAE,QAAQ,OAAO,EAAEA,EAAE,EAAE,IAAI,QAAQ,EAAE,EAAE,IAAIva,EAAE,KAAK,IAAI0iC,GAAG,IAAI,CAAC,EAAE,SAAS,EAAE,GAAG,GAAGnoB,EAAE,EAAE,IAAI,QAAQ3Z,CAAC,EAAEZ,EAAE,EAAE,MAAO,GAAE,CAAC,MAAO,GAAE,CAAC,GAAG,KAAK,mBAAmB,CAAC,SAAS,CAAC,OAAO,KAAK,eAAe,IAAI,GAAG87F,GAAIC,EAAG,CAAC,YAAYn7F,EAAE,CAAC,IAAIZ,EAAE,KAAK,QAAQ,IAAIY,CAAC,EAAE,CAAC,MAAM,EAAE,MAAMP,EAAE,OAAOwB,EAAE,QAAQC,EAAE,MAAMC,EAAE,SAASC,CAAC,EAAEhC,EAAE,GAAG8B,GAAG,KAAK,OAAO,IAAI,EAAE,KAAK,cAAc,KAAKY,EAAE,IAAIA,EAAEikB,EAAE,IAAI,GAAG,IAAI,EAAE3mB,EAAE,SAAS,GAAG,GAAG,OAAO,EAAEyuF,GAAG,EAAEzsF,CAAC,EAAEhC,EAAE,SAAS,GAAG6B,GAAG,KAAK,CAAC,IAAIe,EAAE4rF,GAAG,CAAC,EAAE3rF,EAAEC,EAAE,EAAE,GAAGkB,EAAE,EAAE,GAAGC,EAAEpC,aAAa,YAAYA,aAAa,mBAAmBG,GAAG,CAACiC,KAAK,CAACnB,EAAEkB,CAAC,EAAEwsF,GAAG,EAAE,GAAG,EAAE,EAAE,GAAGxuF,EAAEa,EAAE,IAAI2yF,GAAG5yF,EAAEqB,CAAC,EAAEpB,EAAE,IAAI0yF,GAAG3yF,EAAEqB,CAAC,EAAE,IAAIoD,EAAEpD,EAAE,CAACD,EAAElB,CAAC,EAAE,EAAE,EAAE,KAAK,eAAeuE,EAAEhH,CAAC,EAAEoE,EAAE,KAAK,QAAQ,IAAI,EAAE,MAAM,EAAER,EAAEQ,EAAE,MAAM0rF,GAAG,OAAO1rF,EAAE,MAAM0rF,GAAG,OAAO1rF,EAAE,SAAS4C,EAAE,KAAK,MAAM,2BAA2B,KAAK,WAAW,EAAE,MAAM,EAAEvE,EAAEkB,EAAEnC,CAAC,EAAE,IAAI6C,EAAE,CAAC,CAACV,EAAElB,CAAC,CAAC,EAAE6B,EAAE,GAAGC,EAAE,KAAK,gBAAgB/B,EAAE,CAAC,CAAC,EAAExC,EAAEqE,EAAEC,CAAC,EAAE2C,EAAE,KAAK,QAAQ,IAAI1C,EAAE,MAAM,EAAE5E,EAAE,SAASsH,EAAE,SAAStH,EAAE,SAASsH,EAAE,SAAStH,EAAE,MAAMsH,EAAE,MAAMiT,EAAE,EAAE,IAAI,qBAAqB,EAAE,KAAK,YAAY3V,EAAE,MAAM,GAAG5E,EAAE,QAAQsH,EAAE,QAAQtH,EAAE,OAAO,KAAK,KAAK,QAAQ,OAAO4E,EAAE,MAAM,GAAG,KAAK,8BAA8B,CAAC,EAAE,IAAI,KAAK,cAAc+hB,EAAE,IAAI,EAAEjkB,EAAE,KAAK,CAAC,IAAIE,EAAE,KAAK,eAAe,EAAEb,EAAE1B,EAAE2B,CAAC,EAAEhC,EAAE,QAAQ4C,CAAC,CAAC,CAAC,qBAAqBhC,EAAEZ,EAAE,CAAC,IAAI,EAAE,KAAK,QAAQ,IAAIY,CAAC,EAAE,CAAC,MAAMP,CAAC,EAAE,EAAE,OAAO,KAAK,eAAeO,CAAC,EAAEZ,GAAG,OAAO,EAAE,OAAOs8F,GAAIt8F,EAAEK,CAAC,GAAG,EAAE,MAAM,CAAC,eAAeO,EAAEZ,EAAE,EAAEK,EAAE,CAAC,GAAG,KAAK,eAAe,KAAK,aAAaO,EAAE,CAAC,EAAE,CAAC,KAAK,mBAAmB,KAAK,cAAc,KAAK,mBAAmB,KAAK,KAAK,CAAC,IAAIiB,GAAG,KAAK,cAAc,KAAK,MAAM,QAAQ,CAAC,EAAE,KAAK,kBAAkB,GAAG,QAAQ,KAAK,6BAA6BA,wCAAwC,CAAC,CAAC,OAAO,KAAK,eAAe,eAAejB,EAAEZ,EAAEK,CAAC,CAAC,CAAC,aAAaO,EAAEZ,EAAE,CAAC,OAAOY,EAAE,GAAGA,EAAE,GAAG+lB,EAAE,gBAAgB3mB,CAAC,CAAC,CAAC,wBAAwB,CAAC,OAAO,CAAC,CAACY,CAAC,IAAI,OAAO,QAAQ,KAAK,WAAW,EAAE,KAAK,iBAAiBA,CAAC,CAAC,CAAC,MAAM,6BAA6B,CAAC,IAAIA,EAAE,CAAC,EAAE,GAAG,KAAK,MAAM,6BAA6B,CAAC,OAAO,CAAC,CAACZ,CAAC,IAAI,OAAO,QAAQ,KAAK,WAAW,EAAEY,EAAE,KAAK,KAAK,sBAAsBZ,CAAC,CAAC,EAAE,OAAO,QAAQ,IAAIY,CAAC,CAAC,KAAK,CAAC,OAAO,CAAC,CAACZ,CAAC,IAAI,OAAO,QAAQ,KAAK,WAAW,EAAE,CAAC,IAAI,EAAE,IAAI,QAAQK,GAAG,CAAC,GAAG,CAAC,KAAK,iBAAiBL,CAAC,EAAEK,EAAE,EAAE,CAAC,OAAOwB,EAAN,CAAS,MAAMA,CAAC,CAAC,CAAC,EAAEjB,EAAE,KAAK,CAAC,CAAC,CAAC,OAAO,QAAQ,IAAIA,CAAC,CAAC,CAAC,CAAC,MAAM,sBAAsBA,EAAE,CAAC,OAAO,KAAK,MAAM,GAAG,oBAAoBA,EAAE,aAAa,KAAK,MAAM,6BAA6B,qBAAqB,EAAE,KAAK,iBAAiBA,CAAC,GAAG,MAAMs5C,GAAG,EAAE,KAAK,sBAAsBt5C,CAAC,EAAE,CAAC,iBAAiBA,EAAE,CAAC,GAAG,KAAK,MAAM,GAAG,oBAAoBA,EAAE,aAAa,KAAK,MAAM,GAAG,WAAW,IAAI,GAAG,MAAM,QAAQ,IAAI,KAAK,MAAM,GAAG,kBAAkBA,EAAE,YAAY,CAAC,EAAE,KAAK,MAAM,GAAG,mBAAmBA,EAAE,eAAe,KAAK,MAAM,GAAG,cAAc,IAAI,IAAIwuF,GAAGxuF,EAAE,OAAO,KAAK,MAAM,GAAG,iBAAiBA,EAAE,cAAc,CAAC,EAAE,IAAI,MAAM,oCAAoC,GAAG,IAAI,MAAM,6CAA6C,EAAE,MAAM,EAAE,CAAC,qBAAqB,CAAC,OAAO,CAAC,CAACA,CAAC,IAAI,OAAO,QAAQ,KAAK,WAAW,EAAE,CAAC,GAAG,CAAC,iBAAiBZ,EAAE,uBAAuB,EAAE,OAAOK,EAAE,OAAOwB,EAAE,kBAAkBC,EAAE,qBAAqBC,EAAE,iBAAiBC,EAAE,wBAAwB,EAAE,oBAAoBU,CAAC,EAAEoyF,GAAG,KAAK,MAAMl0F,EAAE,QAAQA,EAAE,YAAY,EAAEA,EAAE,iBAAiBZ,EAAEY,EAAE,uBAAuB,EAAEA,EAAE,OAAOP,EAAEO,EAAE,OAAOiB,EAAEjB,EAAE,kBAAkBkB,EAAElB,EAAE,qBAAqBmB,EAAEnB,EAAE,iBAAiBoB,EAAEpB,EAAE,wBAAwB,EAAEA,EAAE,oBAAoB8B,CAAC,CAAC,CAAC,EAAE25F,GAAG,WAAW,EAAE,SAASC,GAAIx8F,EAAE,EAAE,CAAC,GAAG,IAAI,WAAW,IAAI,YAAY,OAAOA,EAAE,GAAG,IAAI,SAAS,IAAI,OAAO,CAAC,IAAIE,EAAE,IAAI,QAAQ,IAAI,WAAWF,EAAE,MAAM,EAAE,IAAI,WAAWA,EAAE,MAAM,EAAE,QAAQM,EAAE,EAAEA,EAAEJ,EAAE,OAAO,EAAEI,EAAEJ,EAAEI,GAAG,KAAK,MAAMN,EAAEM,EAAE,EAAE,OAAOJ,CAAC,KAAM,OAAM,IAAI,MAAM,iBAAiB,GAAG,CAAC,CAAC,IAAIu8F,GAAG,SAAS,SAASC,IAAI,CAACjiF,EAAE,EAAE,IAAI,2BAA2B,EAAE,CAAC,CAAC4Q,GAAG,UAAU,GAAG6I,GAAG,QAAQ,IAAI,IAAIqoE,GAAG,CAAC,EAAE,IAAII,GAAI,CAAC,eAAeD,EAAE,EAAME,GAAG;AAAA;AAAA;AAAA,EAGzghBC,GAAG,KAAK,CAAC,YAAY/7F,EAAEZ,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,YAAYm6C,EAAE,2BAA2Bn6C,EAAE,CAAC,EAAE,KAAK,oBAAoBk1F,GAAG,KAAK,YAAY,MAAM,EAAE,KAAK,SAAS;AAAA;AAAA,UAE3Kt0F;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAQL,CAAC,EAAMg8F,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA,EAKTC,GAAG,KAAK,CAAC,YAAYj8F,EAAEZ,EAAE,EAAEK,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,qBAAqB,GAAG,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAY85C,EAAE,2BAA2Bn6C,EAAE,CAAC,EAAE,IAAI6B,EAAE,KAAK,YAAY,OAAO,KAAK,oBAAoBqzF,GAAGrzF,CAAC,EAAE,IAAIC,EAAE,GAAG,GAAGzB,EAAE,GAAGwB,IAAI,GAAG8kB,EAAE,cAAc,KAAK,WAAW,IAAI,EAAE7kB,EAAE;AAAA;AAAA;AAAA;AAAA,kBAIzSA,EAAE;AAAA,YACR8yF,GAAG/yF,CAAC;AAAA,UACNA,IAAI,EAAE,KAAK,oBAAoBC,GAAG;AAAA;AAAA;AAAA;AAAA,YAIhCA,GAAG;AAAA,yCAC0B,KAAK,YAAY;AAAA;AAAA;AAAA,gBAG1C,CAAC,IAAIE,EAAEi4F,GAAG,SAASp4F,CAAC,EAAE,KAAK,oBAAoBC,GAAG;AAAA;AAAA,iBAEjDE,EAAEH,EAAE,uBAAuBA;AAAA;AAAA,iBAE3BG,EAAEH,EAAE,uBAAuBA;AAAA;AAAA;AAAA;AAAA,YAIhCC,GAAG;AAAA;AAAA,iBAEEE,EAAEH,EAAE,cAAc,KAAK,YAAYA,EAAE;AAAA;AAAA,iBAErCG,EAAEH,EAAE,cAAc,KAAK,YAAYA,EAAE;AAAA;AAAA;AAAA;AAAA,WAI3C,CAAC,KAAK,SAAS;AAAA;AAAA,UAEhBjB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAQAkB;AAAA;AAAA;AAAA;AAAA,KAIL,CAAC,EAAE,SAASg7F,GAAGh9F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,CAAC,EAAE,EAAE,OAAOJ,EAAE,OAAOI,EAAE,MAAM,EAAE,CAAC,OAAOA,EAAE,OAAO,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,IAAI28F,GAAG,CAAC,WAAW39E,GAAG,YAAY,QAAQ,WAAW09E,EAAE,EAAE,SAASE,GAAGl9F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,KAAKM,EAAE,KAAKC,CAAC,EAAE,EAAE,EAAEL,EAAE,eAAeI,EAAE,MAAM,WAAW,EAAE,EAAEJ,EAAE,QAAQ,IAAI,EAAE,MAAM,EAAE+B,EAAE+6F,GAAG,CAAC,OAAO,CAAC,EAAE18F,CAAC,EAAE,QAAQJ,CAAC,CAAC,EAAEgC,EAAE86F,GAAG,CAAC,OAAO,CAAC,EAAEz8F,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,OAAO,EAAE,mBAAmB,CAAC,KAAK+B,EAAE,KAAKC,CAAC,EAAE,CAAC,CAAC,IAAIi7F,GAAG,CAAC,WAAWvgF,GAAG,YAAY,QAAQ,WAAWsgF,EAAE,EAAME,GAAG,+BAA+BC,GAAG;AAAA;AAAA;AAAA,EAGngB,SAASC,GAAIt9F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE,EAAEJ,EAAE,eAAe,CAAC,EAAE,UAAU2mB,EAAE,kBAAkB,EAAE,SAAS,CAAC,EAAE5kB,EAAEwY,EAAE,EAAE,QAAQ,8BAA8B,EAAE,IAAIsiF,GAAGM,GAAG98F,EAAE,MAAM,EAAE,KAAK,EAAE,IAAIs8F,GAAGO,GAAG78F,EAAE,MAAM,EAAE,KAAK,EAAE2B,EAAEhC,EAAE,gBAAgB+B,EAAE,CAAC1B,EAAE,CAAC,EAAE,SAAS,EAAE,OAAOL,EAAE,8BAA8B,CAAC,EAAEgC,CAAC,CAAC,IAAIq7F,GAAG,CAAC,WAAW39E,GAAG,YAAY,QAAQ,WAAW09E,EAAG,EAAME,GAAG,+BAA+BC,GAAG;AAAA;AAAA;AAAA,EAGla,SAASC,GAAI19F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,EAAE,MAAMC,CAAC,EAAE,EAAE,EAAEka,EAAE,EAAE,QAAQ,8BAA8B,EAAE,IAAIsiF,GAAGU,GAAGn9F,EAAE,MAAMC,EAAE,KAAK,EAAE,IAAIs8F,GAAGW,GAAGl9F,EAAE,MAAMC,EAAE,KAAK,EAAE,OAAOL,EAAE,gBAAgB,EAAE,CAACI,EAAEC,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIo9F,GAAG,CAAC,WAAWx7E,GAAG,YAAY,QAAQ,WAAWu7E,EAAG,EAAME,GAAG,0BAA0B,SAASC,GAAG,CAAC,UAAU79F,EAAE,gBAAgB,EAAE,cAAcE,EAAE,MAAMI,CAAC,EAAE,CAAC,MAAM,CAAC,CAAC,OAAOC,EAAE,QAAQ,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,EAAEA,EAAE0B,EAAE,EAAEC,EAAE5B,GAAG,EAAE,MAAM,GAAG2B,EAAE,mBAAmB,CAAC,CAAC,CAAC,GAAG/B,GAAG,KAAK,CAAC,IAAI2C,EAAEZ,EAAE,QAAQ,IAAI,EAAE,MAAM,EAAEa,EAAE5C,EAAE2C,EAAE,OAAOX,CAAC,EAAE,OAAOD,EAAE,eAAe,EAAE,MAAMC,EAAEY,CAAC,CAAC,CAAC,IAAIX,EAAEsY,EAAE,EAAE,QAAQ,6BAA6B,GAAG,GAAG,KAAK7X,EAAE,OAAOT,EAAES,EAAE,IAAIi5F,GAAG,EAAE,MAAM,CAAC,EAAEj5F,EAAE,IAAIm4F,GAAG,EAAE,MAAM/6F,CAAC,EAAEiC,EAAE,gBAAgBW,EAAE,CAAC,CAAC,EAAEV,CAAC,CAAC,CAAC,CAAC,SAAS47F,GAAG,CAAC,UAAU99F,EAAE,gBAAgB,EAAE,iBAAiBE,EAAE,GAAG,gBAAgBI,EAAE,GAAG,cAAcC,EAAE,MAAM,CAAC,EAAE,CAAC,MAAM,CAAC,CAAC,OAAO,EAAE,QAAQ0B,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEC,EAAE,EAAEC,CAAC,EAAE,EAAES,EAAEX,EAAE,GAAG3B,GAAG4B,EAAE,QAAQ,YAAY,CAAC,IAAIc,EAAEJ,EAAE,QAAQ,IAAIV,EAAE,MAAM,EAAEgC,EAAEtB,EAAE,QAAQ,IAAIT,EAAE,MAAM,EAAE,CAAC,EAAEoF,CAAC,EAAE,CAAC,CAACvE,EAAE,mBAAmB,KAAKkB,EAAE,mBAAmB,IAAI,EAAE,CAAClB,EAAE,mBAAmB,KAAKkB,EAAE,mBAAmB,IAAI,CAAC,EAAE,IAAIS,GAAG,CAAC,GAAG,CAACC,EAAEC,CAAC,EAAEF,EAAEG,EAAE,CAAC,OAAOF,EAAE,OAAO,MAAMA,EAAE,MAAM,MAAM1C,EAAE,KAAK,EAAEsF,EAAE,CAAC,OAAO3C,EAAE,OAAO,MAAMA,EAAE,MAAM,MAAM1C,EAAE,KAAK,EAAE6C,EAAE,IAAI63F,GAAG78F,EAAEkC,EAAE,MAAMC,EAAE,KAAK,EAAE,OAAOS,EAAE,gBAAgBoC,EAAE,CAACF,EAAE0C,CAAC,EAAEkjB,GAAG9lB,EAAE,MAAMC,EAAE,KAAK,CAAC,CAAC,CAAC,EAAEE,EAAEm4F,GAAG,CAAC,OAAO,CAAC,KAAK,EAAE,KAAK31F,CAAC,EAAE,QAAQ3E,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B2E,CAAC,EAAExC,CAAC,CAAC,IAAIlC,EAAE,GAAG6nB,GAAGxoB,EAAE,MAAMC,EAAE,KAAK,EAAE,IAAID,EAAE,QAAQ,UAAUC,EAAE,QAAQ,UAAUS,EAAE,mBAAmB,CAACV,EAAEC,CAAC,CAAC,IAAI5B,GAAG,KAAK,CAAC,IAAIyC,EAAEJ,EAAE,QAAQ,IAAIV,EAAE,MAAM,EAAE,OAAOgC,EAAEtB,EAAE,QAAQ,IAAIT,EAAE,MAAM,EAAE,OAAO,EAAED,EAAE,QAAQ,SAASm4C,EAAE,uBAAuBr3C,CAAC,EAAEA,EAAEuE,EAAErF,EAAE,QAAQ,SAASm4C,EAAE,uBAAuBn2C,CAAC,EAAEA,EAAE,CAACa,EAAEJ,CAAC,EAAEpE,EAAE2B,EAAE,MAAMC,EAAE,MAAM,EAAEoF,EAAE1E,CAAC,EAAE+B,EAAEhC,EAAE,eAAe+B,EAAE9B,CAAC,EAAEgC,EAAEjC,EAAE,QAAQ,IAAIgC,EAAE,MAAM,EAAE,OAAOC,EAAE,OAAOE,EAAEH,CAAC,CAAC,IAAI9B,EAAE2X,EAAE,EAAE,QAAQ,8BAA8B,GAAG,GAAG,KAAK1X,EAAE,OAAOD,EAAEC,EAAE,IAAIg6F,GAAG,EAAE76F,EAAE,MAAMC,EAAE,MAAMjC,CAAC,EAAE6C,EAAE,IAAI85F,GAAG78F,EAAEkC,EAAE,MAAMC,EAAE,KAAK,EAAES,EAAE,gBAAgBG,EAAE,CAACb,EAAEC,CAAC,EAAEU,CAAC,CAAC,CAAC,CAAC,SAASk7F,GAAG/9F,EAAE,EAAE,GAAG,CAAC,GAAGA,IAAI,SAAS,OAAO,EAAEw7F,GAAGP,GAAG,GAAGj7F,IAAI,OAAO,OAAO,EAAE07F,GAAGN,GAAG,GAAGp7F,IAAI,MAAM,OAAO,EAAEy7F,GAAGN,GAAG,GAAGn7F,IAAI,QAAQ,OAAO,EAAE27F,GAAGN,GAAG,GAAGr7F,IAAI,QAAQ,OAAO,EAAEy9F,GAAGD,GAAG,GAAGx9F,IAAI,YAAY,OAAO,EAAEq9F,GAAGD,GAAG,GAAGp9F,IAAI,UAAU,OAAO,EAAE47F,GAAGL,GAAG,MAAM,IAAI,MAAM,cAAcv7F,mDAAmD,CAAC,CAAC,IAAIg+F,GAAG,KAAK,CAAC,YAAYl9F,EAAEZ,EAAE,EAAEK,EAAE,GAAGwB,EAAE,GAAGC,EAAE,GAAGC,EAAE,KAAKC,EAAE,GAAG,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,UAAU,SAAS,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAY,EAAE,KAAK,oBAAoBkzF,GAAG,KAAK,YAAY,MAAM,EAAE,IAAIxyF,EAAErC,EAAEO,EAAE,GAAGA,EAAE,GAAG,EAAE,KAAK,KAAK8B,EAAE,CAAC,EAAEE,EAAEvC,EAAE,cAAc,cAAcwC,EAAEhB,EAAE,cAAc,cAAciB,EAAEzC,EAAE,CAAC,SAAS,QAAQ,EAAE,CAAC,SAAS,QAAQ,EAAE2D,EAAEnC,EAAE,CAAC,SAAS,QAAQ,EAAE,CAAC,SAAS,QAAQ,EAAEoC,EAAE,GAAGoD,EAAE,GAAGtF,IAAIC,EAAEiC,EAAE;AAAA;AAAA,YAE5kFlC;AAAA,WACD,EAAEkC,EAAE;AAAA;AAAA,YAEHlC;AAAA,WACDkC,EAAE;AAAA,YACDlC;AAAA,WACDsF,EAAE,gCAAgC,IAAI,EAAEvF,EAAE,kCAAkC,GAAGA,GAAG,KAAK,cAAc,KAAK,MAAM,EAAEE,GAAG,KAAK,cAAc,KAAK,wBAAwB,EAAE,GAAG,KAAK,cAAc,KAAK,gBAAgB,EAAE,IAAIyC,EAAE,OAAOC,EAAE,OAAO9D,EAAE,GAAGZ,EAAE,GAAGyE,EAAE,wBAAwB7D,EAAE,GAAG,OAAOZ,EAAE,GAAGY,EAAE,KAAK8D,EAAE,wBAAwB1E,EAAE,GAAG,QAAQ,KAAK,SAAS;AAAA,QAC9ViE;AAAA;AAAA,sCAE8B;AAAA;AAAA;AAAA;AAAA,8BAIR;AAAA,yBACLQ;AAAA,yBACAC;AAAA,wCACe9B;AAAA,wCACAC;AAAA;AAAA;AAAA;AAAA,uBAIjBC,EAAE,QAAQkB,EAAE;AAAA,uBACZlB,EAAE,QAAQkB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UASzB;AAAA;AAAA,UAEAqD;AAAA;AAAA;AAAA;AAAA,KAIL,CAAC,EAAM02F,GAAG,CAAC,KAAK,wCAAwC,KAAK,uCAAuC,EAAEC,GAAG,KAAK,CAAC,YAAYp9F,EAAEZ,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,QAAQ,QAAQ,QAAQ,OAAO,EAAE,KAAK,YAAYm6C,EAAE,2BAA2Bn6C,EAAE,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA,UAGnPY;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAUL,CAAC,EAAMq9F,GAAG,gBAAgB,SAASC,GAAGp+F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAACM,EAAI,EAAEC,CAAC,EAAE,EAAE,EAAE85C,EAAE,WAAW/5C,EAAE,MAAMC,EAAE,KAAK,EAAE,GAAGD,EAAE,QAAQ,YAAY,CAAC,IAAI2B,EAAE/B,EAAE,QAAQ,IAAII,EAAE,MAAM,EAAE4B,EAAEhC,EAAE,QAAQ,IAAIK,EAAE,MAAM,EAAE4B,EAAE,IAAI+7F,GAAGD,GAAG,KAAK39F,EAAE,MAAMC,EAAE,KAAK,EAAEqC,EAAE,IAAIs7F,GAAGD,GAAG,KAAK39F,EAAE,MAAMC,EAAE,KAAK,EAAEsC,EAAE,CAAC,CAAC,OAAOZ,EAAE,mBAAmB,KAAK,OAAO,MAAMA,EAAE,mBAAmB,KAAK,MAAM,MAAM3B,EAAE,KAAK,EAAE,CAAC,OAAO2B,EAAE,mBAAmB,KAAK,OAAO,MAAMA,EAAE,mBAAmB,KAAK,MAAM,MAAM3B,EAAE,KAAK,EAAE,CAAC,OAAO4B,EAAE,mBAAmB,KAAK,OAAO,MAAMA,EAAE,mBAAmB,KAAK,MAAM,MAAM3B,EAAE,KAAK,EAAE,CAAC,OAAO2B,EAAE,mBAAmB,KAAK,OAAO,MAAMA,EAAE,mBAAmB,KAAK,MAAM,MAAM3B,EAAE,KAAK,CAAC,EAAEuC,EAAE5C,EAAE,gBAAgBiC,EAAEU,EAAE,SAAS,EAAEE,EAAE7C,EAAE,gBAAgB0C,EAAEC,EAAE,SAAS,EAAEG,EAAEk6F,GAAG,CAAC,OAAO,CAAC,KAAKp6F,EAAE,KAAKC,CAAC,EAAE,QAAQ7C,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B4C,CAAC,EAAE5C,EAAE,8BAA8B6C,CAAC,EAAEC,CAAC,CAAC,GAAG9C,EAAE,mBAAmB,CAACI,EAAEC,CAAC,CAAC,EAAE,CAAC,IAAI0B,EAAE/B,EAAE,QAAQ,IAAII,EAAE,MAAM,EAAE4B,EAAEhC,EAAE,QAAQ,IAAIK,EAAE,MAAM,EAAE,CAAC4B,EAAES,CAAC,EAAE61F,GAAGn4F,EAAE,MAAMC,EAAE,MAAM0B,EAAE,OAAOC,EAAE,OAAO,CAAC,EAAEW,EAAE3C,EAAE,eAAe0C,EAAE,CAAC,EAAEE,EAAE5C,EAAE,QAAQ,IAAI2C,EAAE,MAAM,EAAE,OAAOC,EAAE,OAAOX,EAAEU,CAAC,CAAC,IAAI,EAAE,OAAO4X,EAAE,EAAE,QAAQ,8BAA8B,EAAE,EAAE,IAAIsiF,GAAGoB,GAAG79F,EAAE,MAAMC,EAAE,KAAK,EAAE,EAAE,IAAIs8F,GAAGsB,GAAG79F,EAAE,MAAMC,EAAE,KAAK,EAAEL,EAAE,gBAAgB,EAAE,CAACI,EAAEC,CAAC,EAAE,CAAC,CAAC,CAAC,IAAI89F,GAAG,CAAC,WAAW98E,GAAG,YAAY,QAAQ,WAAW68E,EAAE,EAAE,SAASE,GAAGt+F,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,CAAC4tF,GAAGluF,EAAE,KAAK,EAAE,GAAGyuF,GAAGzuF,EAAE,KAAK,CAAC,EAAEO,EAAE,CAAC,MAAMP,EAAE,MAAM,MAAMM,EAAE,OAAON,EAAE,MAAM,EAAE,EAAE,CAACkuF,GAAG,CAAC,EAAE,GAAGO,GAAG,CAAC,CAAC,EAAE,EAAE,IAAI6L,GAAG,EAAEh6F,CAAC,EAAE2B,EAAE,GAAGC,EAAE,CAAC5B,CAAC,EAAE6B,EAAEjC,EAAE,gBAAgB,EAAE,CAACK,CAAC,EAAEP,EAAE,MAAMkC,EAAED,CAAC,EAAE,MAAM,CAAC,OAAOE,EAAE,OAAO,MAAM,EAAE,MAAMA,EAAE,KAAK,CAAC,CAAC,SAASo8F,GAAGv+F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE,EAAEJ,EAAE+B,EAAE4kB,EAAE,cAActmB,EAAE,KAAK,EAAE2B,EAAE2kB,EAAE,uBAAuB,EAAE5kB,CAAC,EAAEE,EAAE0kB,EAAE,cAAc3kB,CAAC,EAAE2kB,EAAE,OAAO5kB,IAAIE,EAAE,IAAI,kBAAkBD,UAAUC,iCAAiC5B,EAAE,cAAc0B,gFAAgF,EAAE,IAAIW,EAAE,EAAE,QAAQ,IAAIrC,EAAE,MAAM,EAAE,OAAOqC,EAAE,UAAU,CAACssF,GAAG3uF,EAAE,MAAM2B,CAAC,GAAG,EAAEU,EAAE,UAAU,MAAMssF,GAAGtsF,EAAE,MAAMV,CAAC,GAAGo8F,GAAG/9F,EAAE2B,EAAE,CAAC,GAAG,EAAE,OAAO3B,EAAE,MAAM,EAAE,CAAC,OAAOA,EAAE,OAAO,MAAM2B,EAAE,MAAM3B,EAAE,KAAK,EAAE,CAAC,IAAIi+F,GAAG,CAAC,WAAW77E,GAAG,YAAY,QAAQ,WAAW47E,EAAE,EAAME,GAAG,KAAK,CAAC,YAAY39F,EAAEZ,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,GAAG,CAAC,WAAW,EAAE,UAAUK,EAAE,OAAOwB,EAAE,QAAQC,CAAC,EAAElB,EAAE,KAAK,YAAY,CAACP,EAAEyB,CAAC,EAAE,IAAIC,EAAE,KAAK,MAAM,EAAE,CAAC,EAAE,EAAEC,EAAE,EAAE,EAAE,EAAE,iCAAiC,GAAGhC,GAAG,KAAK,CAAC,IAAI,EAAE,EAAEA,EAAE,EAAE,4BAA4B2mB,EAAE,MAAM,CAAC,EAAE,EAAE,YAAY,CAAC,EAAE,WAAW,CAAC,IAAIjkB,EAAE,GAAGb,EAAE,EAAE,IAAIa,EAAE;AAAA,oCACtvEb;AAAA;AAAA;AAAA,SAG3B,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA,UAIba;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAQwB;AAAA;AAAA;AAAA;AAAA,8BAIJX;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YASlB;AAAA;AAAA;AAAA,iCAGqBA;AAAA,cACnBC,IAAI;AAAA;AAAA;AAAA,YAGN;AAAA,qBACSA,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA,YAKb;AAAA,qBACSA,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAMb;AAAA;AAAA;AAAA;AAAA,KAIP,CAAC,EAAMw8F,GAAG,KAAK,CAAC,YAAY59F,EAAEZ,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,GAAG,CAAC,WAAW,EAAE,UAAUK,EAAE,OAAOwB,EAAE,QAAQC,CAAC,EAAElB,EAAE,KAAK,YAAY,CAACP,EAAEyB,CAAC,EAAE,IAAIC,EAAE,MAAMC,EAAE,GAAGhC,IAAI,OAAO+B,EAAE,MAAM/B,IAAI,OAAO+B,EAAE,cAAcC,EAAE,OAAOhC,IAAI,QAAQ+B,EAAE,eAAeC,EAAE,OAAO,IAAI,EAAE,GAAGhC,KAAKA,KAAKA,sEAAsEA,IAAI,MAAM,EAAE,WAAWA,IAAI,OAAO,EAAE,YAAYA,IAAI,MAAM,EAAE,WAAWA,IAAI,QAAQ,EAAE,YAAY,IAAI0C,EAAE,KAAK,MAAM,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,EAAEE,EAAE;AAAA,YACrc5C,IAAI;AAAA;AAAA,mBAEGA,IAAI;AAAA;AAAA;AAAA;AAAA,wBAICgC;AAAA,cACVhC,IAAI,YAAYA,IAAI;AAAA,0BACRgC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAOpBa,EAAE,OAAO7C,IAAI,OAAO+B,EAAE,MAAMa,EAAE;AAAA;AAAA;AAAA;AAAA,QAI5BC,EAAE,SAAS7C,IAAI,QAAQ+B,EAAE,MAAMa,EAAE;AAAA;AAAA;AAAA;AAAA,QAIjCC,EAAE,SAAS,IAAIC,EAAE,GAAGjB,EAAE,EAAE,IAAIiB,EAAE;AAAA,oCACFjB;AAAA;AAAA;AAAA,SAG3B,KAAK,SAAS;AAAA,0CACmBE;AAAA;AAAA;AAAA;AAAA,UAIhCe;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAQwB;AAAA;AAAA,kCAEAf;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMJW;AAAA;AAAA,YAElBG,cAAcA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAOdD;AAAA;AAAA;AAAA,iCAGqBF;AAAA,cACnB,IAAI;AAAA,YACNG,cAAcA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAOdD;AAAA,qBACS,IAAI;AAAA,YACbC,cAAcA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAOdD;AAAA,qBACS,IAAI;AAAA,YACbC,cAAcA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAOdD;AAAA;AAAA,oBAEQ;AAAA;AAAA,KAEf,CAAC,EAAE,SAAS67F,GAAI3+F,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,KAAK,EAAE,SAAS,GAAG,EAAE,EAAE,OAAO,GAAG,UAAU,GAAG,CAAC,IAAIE,EAAE,EAAE,OAAO,EAAE,EAAE,OAAO,GAAG,QAAQF,EAAE,GAAGM,EAAE+5C,EAAE,yBAAyBn6C,CAAC,EAAE,EAAE,KAAK,CAAC,OAAOA,EAAE,WAAWI,EAAE,QAAQ,KAAK,KAAKJ,EAAEI,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,SAASs+F,GAAG5+F,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEo+F,GAAI3+F,EAAE,KAAK,EAAE,EAAEA,EAAE,QAAQ,EAAE,EAAE,EAAEO,EAAE,OAAO,IAAI,CAAC,GAAG,CAAC,OAAO0B,EAAE,WAAWC,EAAE,QAAQC,CAAC,EAAE5B,EAAE,GAAGqC,EAAEC,EAAE3C,IAAI,OAAO0C,EAAE,IAAI,EAAE,IAAI67F,GAAG,CAAC,WAAWv8F,EAAE,OAAOD,EAAE,UAAUjC,EAAE,MAAM,GAAG,QAAQmC,CAAC,EAAEF,CAAC,EAAE,IAAIw8F,GAAG,CAAC,WAAWv8F,EAAE,OAAOD,EAAE,UAAUjC,EAAE,MAAM,GAAG,QAAQmC,CAAC,CAAC,EAAES,EAAE,IAAI87F,GAAG,CAAC,WAAWx8F,EAAE,OAAOD,EAAE,UAAUjC,EAAE,MAAM,GAAG,QAAQmC,CAAC,EAAEjC,CAAC,EAAE2C,EAAE,EAAE,EAAEvC,EAAE,gBAAgBsC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAEC,EAAE,SAAS7C,EAAE,QAAQM,EAAE,8BAA8BuC,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIg8F,GAAG,KAAK,CAAC,YAAY/9F,EAAEZ,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,IAAI,EAAE,IAAI,MAAMY,EAAE,MAAM,EAAE,QAAQkB,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,EAAEA,GAAGlB,EAAEZ,EAAE8B,IAAI,KAAK,YAAY,EAAE,KAAK,KAAK,EAAE,OAAO,IAAIzB,EAAEu0F,GAAG,KAAK,IAAI,EAAE/yF,EAAE+8F,GAAI5+F,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA,QAE10BK;AAAA,uBACewB;AAAA;AAAA,KAElB,CAAC,EAAE,SAAS+8F,GAAI9+F,EAAE,CAAC,IAAI,EAAEA,EAAE,OAAO,GAAG,EAAE,EAAE,MAAM,MAAM,sBAAsB,wBAAwB,EAAE,IAAIE,EAAE,CAAC,UAAU,UAAU,UAAU,UAAU,UAAU,SAAS,EAAEI,EAAE,IAAI,MAAM,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEP,EAAE,OAAOO,IAAID,EAAEN,EAAEO,IAAIL,EAAEK,GAAG,OAAOD,EAAE,KAAK,CAAC,CAAC,IAAIy+F,GAAG,KAAK,CAAC,YAAYj+F,EAAEZ,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,IAAI,EAAE,IAAI,MAAMY,EAAE,MAAM,EAAE,QAAQ8B,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,EAAEA,GAAG9B,EAAEZ,EAAE0C,IAAI,GAAG,KAAK,YAAY,EAAE,KAAK,KAAK,EAAE,OAAO,KAAK,KAAK,EAAE,MAAM,MAAM,6BAA6B,KAAK,4BAA4B,EAAE,IAAIrC,EAAEu0F,GAAG,KAAK,IAAI,EAAE/yF,EAAEm4F,GAAG,KAAK,KAAK,IAAI,EAAEl4F,EAAE,IAAI,MAAM,KAAK,IAAI,EAAE,QAAQY,EAAE,EAAEA,EAAE1C,EAAE,OAAO0C,IAAIZ,EAAE9B,EAAE0C,IAAIb,EAAEa,GAAG,IAAIX,EAAE,QAAQD,EAAE,MAAM,EAAE,EAAE,KAAK,KAAKE,EAAE,KAAKH,EAAE,KAAK,KAAK,QAAQ,EAAE,KAAK,KAAK,KAAK,EAAE,mBAAmBC,EAAE,KAAK,OAAOC,KAAK,KAAK,SAAS;AAAA;AAAA,QAE/vB1B;AAAA;AAAA,oBAEY;AAAA,WACT2B;AAAA,sBACW;AAAA;AAAA,UAEZH,EAAE,KAAK,KAAK;AAAA,aACTA,EAAE,KAAK,KAAK,QAAQ,EAAE,KAAK,KAAK;AAAA,sBACvB;AAAA,aACTG;AAAA,wBACW;AAAA;AAAA;AAAA;AAAA;AAAA,KAKnB,CAAC,EAAE,SAAS88F,GAAGh/F,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEma,EAAE,EAAE,QAAQ,6BAA6B,EAAE,IAAIskF,GAAG/+F,EAAE,MAAM,CAAC,EAAE,IAAI6+F,GAAG7+F,EAAE,MAAM,CAAC,EAAE,OAAOE,EAAE,gBAAgBI,EAAE,CAACN,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,SAASi/F,GAAGj/F,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAE,EAAE,EAAEP,EAAE,MAAM,OAAO,EAAE6mB,EAAE,eAAetmB,EAAEP,EAAE,KAAK,EAAEiC,EAAE,EAAEC,EAAEm4C,EAAE,mBAAmBp4C,EAAE,CAAC,EAAEE,EAAED,GAAG,KAAKU,EAAE5C,EAAEmC,IAAIS,EAAEo8F,GAAGh/F,EAAEkC,EAAE5B,CAAC,EAAE2B,EAAEo4C,EAAE,iBAAiBp4C,EAAE,OAAO,CAAC,GAAGo4C,EAAE,2BAA2B,MAAMp4C,EAAE,CAAC,EAAE,GAAG,CAACY,EAAEC,CAAC,EAAEu3C,EAAE,0BAA0Bz3C,EAAE,MAAMX,CAAC,EAAEc,EAAEF,EAAE3C,IAAI6C,EAAEs3C,EAAE,qBAAqBx3C,EAAE,CAAC,GAAG,IAAIG,EAAE6jB,EAAE,cAAc/jB,CAAC,EAAEqB,EAAE0iB,EAAE,cAAc7mB,EAAE,KAAK,EAAEgD,EAAEuE,EAAEg3F,GAAG,CAAC,OAAO,CAAC,EAAE37F,CAAC,EAAE,MAAM,CAAC,MAAM,CAACuB,EAAEnB,CAAC,CAAC,EAAE,QAAQ1C,CAAC,CAAC,EAAE,EAAEqqB,GAAG3qB,EAAE,KAAK,EAAE2E,EAAEi6F,GAAGr3F,EAAE,EAAE,MAAMjH,CAAC,EAAEsE,EAAE25F,GAAG,CAAC,OAAO,CAAC,EAAE55F,CAAC,EAAE,MAAM,CAAC,MAAM5B,CAAC,EAAE,QAAQzC,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BiH,CAAC,EAAEjH,EAAE,8BAA8BqE,CAAC,EAAExC,GAAG7B,EAAE,8BAA8BsC,CAAC,EAAEgC,CAAC,CAAC,SAASs6F,GAAGl/F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE,OAAO2+F,GAAG1+F,EAAE,EAAE,EAAEL,CAAC,CAAC,CAAC,IAAIi/F,GAAG,CAAC,WAAWp7E,GAAG,YAAY,QAAQ,WAAWm7E,EAAE,EAAE,SAASE,GAAGp/F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAEJ,EAAE+B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE,IAAI,MAAMD,CAAC,EAAE,QAAQW,EAAE,EAAEA,EAAEV,EAAE,OAAOU,IAAIV,EAAEU,GAAGrC,EAAE,MAAM,EAAEqC,IAAI,IAAIT,EAAE,GAAG,EAAE,mBAAmB,CAAC5B,CAAC,CAAC,EAAE,CAAC,IAAI,EAAE,EAAE,QAAQ,IAAIA,EAAE,MAAM,EAAE,OAAOuC,EAAEk3F,GAAG,EAAEz5F,EAAE,MAAMA,EAAE,MAAM,EAAE2B,CAAC,EAAEC,EAAE,EAAE,eAAeD,EAAE3B,EAAE,KAAK,EAAE,IAAIwC,EAAE,EAAE,QAAQ,IAAIZ,EAAE,MAAM,EAAEY,EAAE,OAAOD,CAAC,MAAMX,EAAE68F,GAAGz+F,EAAE,EAAE,CAAC,EAAE,OAAO4B,CAAC,CAAC,IAAIk9F,GAAG,CAAC,WAAWj6E,GAAG,YAAY,QAAQ,WAAWg6E,EAAE,EAAME,GAAG,IAAI,SAASC,GAAG,CAAC,EAAEv/F,EAAE,EAAE,EAAE,WAAWE,EAAE,WAAWI,EAAE,QAAQC,EAAE,KAAK,EAAE,KAAK,uBAAuB,EAAE,KAAK,eAAe0B,EAAE,EAAE,WAAWC,EAAE,IAAI,EAAE,CAAC,IAAIC,EAAEnC,EAAE,MAAM,OAAO4C,EAAE,EAAE,MAAM,OAAOC,EAAE3C,EAAEF,EAAE,MAAMmC,EAAE,GAAGnC,EAAE,MAAMmC,EAAE,GAAGW,EAAExC,EAAE,EAAE,MAAMsC,EAAE,GAAG,EAAE,MAAMA,EAAE,GAAGG,EAAE7C,EAAEF,EAAE,MAAMmC,EAAE,GAAGnC,EAAE,MAAMmC,EAAE,GAAGa,EAAE1C,EAAE,EAAE,MAAMsC,EAAE,GAAG,EAAE,MAAMA,EAAE,GAAGsB,EAAElE,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,EAAEuH,EAAEsf,EAAE,cAAc3iB,CAAC,EAAEa,EAAE8hB,EAAE,cAAc,CAAC,EAAEjiB,EAAEkwB,GAAG,2BAA2B90B,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,CAAC,EAAE,OAAO,CAAC+C,EAAEC,CAAC,CAAC,EAAE6jB,EAAE,OAAOhkB,IAAIC,EAAE,IAAI,kCAAkCD,WAAWC,6BAA6B9C,EAAE,aAAa,EAAE,wBAAwBE,oBAAoBI,eAAe,EAAE,IAAIuE,EAAE3E,EAAE,CAACqH,EAAE1E,EAAEE,CAAC,EAAE,CAACwE,EAAExE,EAAEF,CAAC,EAAEiC,EAAExE,EAAE,CAACyE,EAAE/B,EAAEF,CAAC,EAAE,CAACiC,EAAEjC,EAAEE,CAAC,EAAEwE,EAAE+2F,GAAG,CAAC,OAAO,CAAC,EAAEv+F,CAAC,EAAE,QAAQO,EAAE,MAAM,CAAC,MAAMsE,CAAC,CAAC,CAAC,EAAEG,EAAEu5F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQh+F,EAAE,MAAM,CAAC,MAAMuE,CAAC,CAAC,CAAC,EAAE2C,EAAE,CAACD,EAAExC,CAAC,EAAEC,EAAE,KAAK,IAAIsC,EAAExC,CAAC,EAAEG,EAAEhF,EAAEsH,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGrC,EAAE,GAAG,KAAKC,EAAE,GAAG,KAAKC,EAAEnD,IAAI,YAAYoD,EAAEpD,GAAG,KAAK67F,GAAG77F,EAAE,EAAE,EAAE,KAAK+F,EAAE9C,GAAGC,GAAGC,GAAGC,GAAG,KAAKqC,EAAE,IAAI5E,IAAI,GAAGC,IAAI,IAAIkC,EAAEo6F,IAAIr3F,IAAI,GAAG,CAAC,IAAIE,EAAGX,EAAEY,EAAGpD,EAAE9E,IAAIiI,EAAGi3F,GAAG,CAAC,OAAO,CAAC,EAAE53F,CAAC,EAAE,QAAQjH,EAAE,MAAM,CAAC,KAAK,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEkH,EAAE,KAAKU,CAAE,GAAG7H,IAAI8H,EAAGg3F,GAAG,CAAC,OAAO,CAAC,EAAEp6F,CAAC,EAAE,QAAQzE,EAAE,MAAM,CAAC,KAAK,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEkH,EAAE,KAAKW,CAAE,GAAG,IAAIC,EAAGrF,IAAI,EAAEsF,GAAGtF,IAAI,EAAEuF,GAAGJ,EAAGE,IAAKE,GAAGg2F,GAAG,CAAC,OAAO,CAAC,EAAEp2F,CAAE,EAAE,QAAQ5H,EAAE,MAAM,CAAC,MAAM,CAAC0E,EAAEC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEuC,EAAE,KAAKc,EAAE,GAAG,IAAI5B,GAAG3D,IAAI,EAAE,EAAE,EAAEyF,GAAGL,EAAGE,KAAKG,GAAG81F,GAAG,CAAC,OAAO,CAAC,EAAEn2F,CAAE,EAAE,QAAQ7H,EAAE,MAAM,CAAC,MAAM,CAAC0E,EAAE,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAEuC,EAAE,KAAKgB,EAAE,GAAG,IAAIC,GAAG01F,GAAG,CAAC,OAAO,CAAC,EAAE71F,GAAG,EAAEE,EAAE,EAAE,QAAQlI,CAAC,CAAC,EAAEoH,EAAEu3F,GAAG,CAAC,OAAO,CAAC,EAAEx2F,EAAE,EAAE,QAAQnI,EAAE,MAAM,CAAC,KAAKoG,GAAG,SAAS,EAAE,CAAC,CAAC,EAAEc,EAAE,KAAKiB,EAAE,CAAC,KAAK,CAAC,IAAIP,EAAGuiB,GAAG1qB,EAAE,MAAM,EAAE,KAAK,EAAEoI,EAAG,IAAI41F,GAAGn5F,EAAEC,EAAE,CAACG,EAAElC,EAAEC,CAAC,EAAE9C,EAAEI,EAAE6E,EAAEG,EAAEF,EAAEC,CAAC,EAAEgD,EAAG,CAACb,EAAExC,CAAC,EAAE,GAAG,GAAG,MAAMqD,EAAG,KAAK,CAAC,EAAEjD,GAAGiD,EAAG,KAAK,CAAC,EAAEhD,EAAE,CAAC,IAAIiD,GAAG/H,EAAE,eAAe,CAAC,EAAE,UAAUsmB,EAAE,kBAAkB5kB,EAAE,SAAS,CAAC,EAAEoG,EAAG,KAAKC,EAAE,EAAEb,EAAE,KAAKa,EAAE,CAAC,CAACX,EAAEpH,EAAE,gBAAgB6H,EAAGC,EAAGF,CAAE,CAAC,CAAC,IAAID,EAAEq2F,GAAG,CAAC,OAAO,CAAC,EAAE52F,CAAC,EAAE,QAAQpH,EAAE,MAAM,CAAC,MAAMqE,CAAC,CAAC,CAAC,EAAE6C,EAAE,KAAKE,CAAC,EAAE,QAAQQ,KAAMV,EAAElH,EAAE,8BAA8B4H,CAAE,EAAE,OAAOD,CAAC,CAAC,SAASs3F,GAAIx/F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,EAAE,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,WAAWC,EAAE,WAAWC,EAAE,WAAWS,EAAE,eAAeC,CAAC,EAAEvC,EAAE,OAAOi/F,GAAG,CAAC,EAAEh/F,EAAE,EAAE,EAAE,WAAW2B,EAAE,WAAWC,EAAE,QAAQjC,EAAE,KAAK,EAAE,uBAAuB+B,EAAE,eAAeY,EAAE,WAAWD,CAAC,CAAC,CAAC,CAAC,IAAI68F,GAAG,CAAC,WAAW55E,GAAG,YAAY,QAAQ,WAAW25E,EAAG,EAAME,GAAG,iBAAiB,SAASC,GAAI3/F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,CAAC,EAAE,EAAE,GAAGJ,EAAE,mBAAmB,CAACI,CAAC,CAAC,GAAGA,EAAE,QAAQ,YAAY,CAAC,IAAI,EAAEJ,EAAE,QAAQ,IAAII,EAAE,MAAM,EAAE,EAAE64F,GAAG,EAAE,MAAM,EAAE,OAAOj5F,EAAE,eAAeI,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,CAAC,IAAIC,EAAE,OAAOka,EAAE,EAAE,QAAQ,6BAA6B,EAAEla,EAAE,IAAIs7F,GAAGv7F,EAAE,MAAMo/F,EAAE,EAAEn/F,EAAE,IAAIw6F,GAAGz6F,EAAE,MAAMo/F,EAAE,EAAEx/F,EAAE,gBAAgBK,EAAE,CAACD,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAIs/F,GAAG,CAAC,WAAW1kF,GAAG,YAAY,QAAQ,WAAWykF,EAAG,EAAME,GAAI7E,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA,EAKzvH8E,GAAIjC,GAAG,CAAC,UAAUgC,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAW5kF,GAAG,YAAY,QAAQ,WAAW2kF,EAAG,EAAME,GAAIhF,GAAG;AAAA;AAAA,oCAEvDiF,GAAIpC,GAAG,CAAC,UAAUmC,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAW9kF,GAAG,YAAY,QAAQ,WAAW6kF,EAAG,EAAME,GAAG,gBAAgBC,GAAItC,GAAG,CAAC,UAAUqC,GAAG,gBAAgBA,GAAG,gBAAgB,GAAG,cAAc/I,EAAE,CAAC,EAAEiJ,GAAG,CAAC,WAAWhlF,GAAG,YAAY,QAAQ,WAAW+kF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYx/F,EAAEZ,EAAE,CAAC,KAAK,YAAY,CAAC,EAAE,KAAK,YAAYY,EAAE,KAAK,cAAcZ,EAAE,IAAI,CAAC6B,EAAEC,IAAI,IAAIA,GAAG,EAAE,IAAI,EAAE,CAAC,EAAE,KAAK,cAAc,QAAQD,GAAG,CAAC,EAAE,KAAK,UAAUA,UAAUA,iBAAiB,CAAC,CAAC,EAAE,IAAIxB,EAAE,KAAK,cAAc,IAAIwB,GAAG,IAAIA,GAAG,EAAE,KAAK,KAAK,EAAE,KAAK,SAAS;AAAA;AAAA,UAE5gB,EAAE,KAAK;AAAA,SACR;AAAA;AAAA,yBAEgBxB;AAAA;AAAA;AAAA,KAGpB,CAAC,EAAMggG,GAAG,KAAK,CAAC,YAAYz/F,EAAEZ,EAAE,CAAC,KAAK,YAAY,CAAC,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAYY,EAAE,KAAK,cAAcZ,EAAE,IAAI,CAAC6B,EAAEC,IAAI,IAAIA,GAAG,EAAE,IAAI,EAAE,CAAC,EAAE,KAAK,cAAc,QAAQD,GAAG,CAAC,EAAE,KAAK,SAASA,UAAUA,iBAAiB,CAAC,CAAC,EAAE,IAAIxB,EAAE,KAAK,cAAc,IAAIwB,GAAG,IAAIA,GAAG,EAAE,KAAK,KAAK,EAAE,KAAK,SAAS;AAAA;AAAA,UAEhT,EAAE,KAAK;AAAA,SACR;AAAA;AAAA,wBAEexB;AAAA;AAAA;AAAA,KAGnB,CAAC,EAAE,SAASigG,GAAGxgG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAEM,EAAE,EAAE,GAAGA,EAAE,SAAS,EAAE,OAAO08F,GAAG,CAAC,OAAO,CAAC,EAAE18F,EAAE,EAAE,EAAE,QAAQJ,CAAC,CAAC,EAAE,GAAGI,EAAE,OAAOma,EAAE,EAAE,IAAI,8BAA8B,EAAE,CAAC,IAAIvY,EAAE,KAAK,MAAM5B,EAAE,OAAO,CAAC,EAAE,EAAEkgG,GAAG,CAAC,OAAOlgG,EAAE,MAAM,EAAE4B,CAAC,EAAE,QAAQhC,CAAC,CAAC,EAAE0C,EAAE49F,GAAG,CAAC,OAAOlgG,EAAE,MAAM4B,CAAC,EAAE,QAAQhC,CAAC,CAAC,EAAE,OAAOsgG,GAAG,CAAC,OAAO,CAAC,EAAE59F,CAAC,EAAE,QAAQ1C,CAAC,CAAC,CAAC,CAAC,IAAIK,EAAED,EAAE,IAAI4B,GAAGA,EAAE,KAAK,EAAE,OAAO,CAACA,EAAE,IAAIwoB,GAAGxoB,EAAE,CAAC,CAAC,EAAE,EAAE5B,EAAE,IAAI4B,GAAGA,EAAE,KAAK,EAAED,EAAEwY,EAAE,EAAE,QAAQ,YAAY,EAAE,IAAI8lF,GAAGjgG,EAAE,GAAG,MAAM,CAAC,EAAE,IAAIggG,GAAGhgG,EAAE,GAAG,MAAM,CAAC,EAAE,OAAOJ,EAAE,gBAAgB+B,EAAE3B,EAAEC,CAAC,CAAC,CAAC,IAAIkgG,GAAG,CAAC,WAAWnlF,GAAG,YAAY,QAAQ,WAAWklF,EAAE,EAAE,SAASE,GAAI1gG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE2kB,EAAE,eAAe,EAAEtmB,EAAE,KAAK,EAAE4B,EAAED,EAAEU,EAAEy3C,EAAE,mBAAmBl4C,EAAEF,CAAC,EAAEY,EAAEtC,EAAEqC,GAAG,OAAOC,EAAEu8F,GAAG,CAAC,OAAO,CAAC,EAAE7+F,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAK0C,CAAC,CAAC,CAAC,EAAET,EAAEk4C,EAAE,iBAAiBl4C,EAAE,OAAOF,CAAC,GAAGo4C,EAAE,2BAA2B,MAAMl4C,EAAEF,CAAC,EAAE,GAAG,CAACa,EAAEC,CAAC,EAAEs3C,EAAE,0BAA0Bx3C,EAAE,MAAMV,CAAC,EAAEa,EAAE6jB,EAAE,cAAc9jB,CAAC,EAAEmB,EAAEq6F,GAAG,CAAC,OAAO,CAAC,EAAE17F,CAAC,EAAE,QAAQ3C,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG8C,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE47F,GAAG16F,EAAEA,EAAE,MAAM,MAAMhE,CAAC,EAAEqH,EAAE,GAAG,EAAE,CAAC,IAAIxC,EAAEs1C,EAAE,qBAAqBv3C,EAAEZ,CAAC,EAAEqF,EAAEg3F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQr+F,EAAE,MAAM,CAAC,MAAM6E,CAAC,CAAC,CAAC,CAAC,MAAMwC,EAAEg3F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQr+F,EAAE,MAAM,CAAC,MAAM4C,CAAC,CAAC,CAAC,EAAE,OAAO5C,EAAE,8BAA8BgE,CAAC,EAAEhE,EAAE,8BAA8B,CAAC,EAAE0C,GAAG,MAAM1C,EAAE,8BAA8B2C,CAAC,EAAE0E,CAAC,CAAC,IAAIo5F,GAAG,CAAC,WAAWplF,GAAG,YAAY,QAAQ,WAAWmlF,EAAG,EAAE,SAASE,GAAI5gG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE2kB,EAAE,eAAe,EAAEtmB,EAAE,KAAK,EAAE4B,EAAED,EAAEU,EAAEy3C,EAAE,mBAAmBl4C,EAAEF,CAAC,EAAEY,EAAEtC,EAAEqC,GAAG,OAAOC,EAAEu8F,GAAG,CAAC,OAAO,CAAC,EAAE7+F,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAK0C,CAAC,CAAC,CAAC,EAAET,EAAEk4C,EAAE,iBAAiBl4C,EAAE,OAAOF,CAAC,GAAGo4C,EAAE,2BAA2B,MAAMl4C,EAAEF,CAAC,EAAE,GAAG,CAACa,EAAEC,CAAC,EAAEs3C,EAAE,0BAA0Bx3C,EAAE,MAAMV,CAAC,EAAEa,EAAE6jB,EAAE,cAAc9jB,CAAC,EAAEmB,EAAEq6F,GAAG,CAAC,OAAO,CAAC,EAAE17F,CAAC,EAAE,QAAQ3C,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG8C,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE47F,GAAG16F,EAAEA,EAAE,MAAM,MAAMhE,CAAC,EAAEqH,EAAE,GAAG,EAAE,CAAC,IAAIxC,EAAEs1C,EAAE,qBAAqBv3C,EAAEZ,CAAC,EAAEqF,EAAEg3F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQr+F,EAAE,MAAM,CAAC,MAAM6E,CAAC,CAAC,CAAC,CAAC,MAAMwC,EAAEg3F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQr+F,EAAE,MAAM,CAAC,MAAM4C,CAAC,CAAC,CAAC,EAAE,OAAO5C,EAAE,8BAA8BgE,CAAC,EAAEhE,EAAE,8BAA8B,CAAC,EAAE0C,GAAG,MAAM1C,EAAE,8BAA8B2C,CAAC,EAAE0E,CAAC,CAAC,IAAIs5F,GAAG,CAAC,WAAWrlF,GAAG,YAAY,QAAQ,WAAWolF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYhgG,EAAEZ,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,GAAG,CAAC,WAAWK,EAAE,UAAUwB,EAAE,QAAQC,CAAC,EAAElB,EAAE,GAAG,KAAK,cAAc,KAAK,cAAc,EAAE,KAAK,YAAY,CAACiB,EAAEC,CAAC,EAAE,IAAIC,EAAE/B,IAAI,MAAM,IAAI,IAAIgC,EAAE,EAAE,gBAAgB,+CAA+C,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA,kCAK1uE3B;AAAA;AAAA;AAAA;AAAA;AAAA,8BAKJA;AAAA,wBACN2B;AAAA;AAAA,0BAEED;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAOrB,CAAC,EAAM8+F,GAAG,KAAK,CAAC,YAAYjgG,EAAEZ,EAAE,EAAEK,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAGsmB,EAAE,OAAO/lB,EAAE,OAAO,EAAE,IAAI,aAAa,EAAE,OAAO,CAAC,EAAE,YAAY,EAAE,EAAE,MAAM,CAAC,2CAA2C,EAAE,IAAIiB,EAAEjB,EAAEA,EAAE,OAAO,GAAGkB,EAAE,KAAK,KAAKD,EAAE7B,CAAC,EAAE,KAAK,YAAYY,EAAE,MAAM,EAAE,EAAE,EAAEkB,EAAE,GAAG,KAAK,YAAY,KAAKA,CAAC,EAAEzB,GAAG,KAAK,cAAc,KAAK,cAAc,EAAE,IAAI0B,EAAE,KAAK,YAAYC,EAAED,EAAE,OAAO,EAAE6yF,GAAG5yF,CAAC,EAAEU,EAAEu3F,GAAG,SAASj4F,CAAC,EAAE,EAAEY,EAAE,GAAGd,IAAI,EAAE,CAACc,EAAEZ,EAAE,EAAE,IAAI8C,EAAE8vF,GAAGhyF,CAAC,EAAE,EAAE;AAAA,UAClckC,kBAAkBA,KAAKpC,EAAE,KAAK;AAAA,YAC5BA,EAAEV,EAAE;AAAA,UACN8C,kBAAkBA,KAAKpC,EAAE,KAAK;AAAA,YAC5BA,EAAEV,EAAE;AAAA,UACN8C,kBAAkBA,KAAKpC,EAAE,KAAK;AAAA,YAC5BA,EAAEV,EAAE;AAAA,UACN8C,kBAAkBA,KAAKpC,EAAE,KAAK;AAAA,YAC5BA,EAAEV,EAAE,KAAK,MAAMY,EAAEZ,EAAE,EAAE;AAAA,UACvB;AAAA,YACEU,EAAEV,EAAE;AAAA,UACN;AAAA,YACEU,EAAEV,EAAE;AAAA,UACN;AAAA,YACEU,EAAEV,EAAE;AAAA,UACN;AAAA,YACEU,EAAEV,EAAE,MAAM,IAAIa,EAAE,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,GAAG,EAAE,MAAM,EAAED,CAAC,EAAEE,EAAE,IAAID,EAAED,EAAE,GAAGoB,EAAEnB,EAAE,IAAIiC,GAAG,OAAOA,CAAC,EAAEb,EAAEg2F,GAAG,aAAar3F,EAAE,CAAC,EAAE,OAAO,SAAS,EAAEyE,EAAE4yF,GAAG,aAAar3F,EAAE,CAAC,EAAE,OAAO,SAAS,EAAE,EAAEq3F,GAAG,aAAar3F,EAAE,CAAC,EAAE,OAAO,SAAS,EAAE6B,EAAEw1F,GAAG,aAAar3F,EAAE,CAAC,EAAE,OAAO,SAAS,EAAE8B,EAAE,IAAI,MAAM,cAAc,WAAWC,EAAEtE,EAAE,GAAG;AAAA,sDAC7P4D,EAAE,KAAK;AAAA,sDACPoD,EAAE,KAAK;AAAA,sDACP,EAAE,KAAK;AAAA,sDACP5C,EAAE,KAAK,QAAQG,EAAE;AAAA,0BAC7CX,EAAE,KAAK;AAAA,uCACMoD,EAAE,KAAK;AAAA,uCACP,EAAE,KAAK;AAAA,qDACO5C,EAAE,KAAK,WAAW6C,EAAEjH,EAAE,GAAG;AAAA,qCACzC2D,EAAE,KAAK;AAAA,4CACAnB,EAAE,KAAK;AAAA,iDACFA,EAAE,MAAM,EAAE,EAAE,KAAK;AAAA,SACzD,KAAK,SAAS;AAAA,0BACGmB,EAAE,KAAK;AAAA,iCACAnB,EAAE,KAAK;AAAA,sCACFA,EAAE,MAAM,EAAE,EAAE,KAAK;AAAA;AAAA,QAE/CyE;AAAA;AAAA,UAEE;AAAA,4BACkB5E,EAAEV,EAAE,QAAQD,EAAEC,EAAE,GAAG;AAAA,4BACnBU,EAAEV,EAAE,QAAQD,EAAEC,EAAE,GAAG;AAAA,UACrC;AAAA,yCAC+Bc,gBAAgBA;AAAA,sBACnCA,gBAAgBA,QAAQ9C;AAAA;AAAA;AAAA,2BAGnB4E;AAAA;AAAA,8BAEG5E;AAAA;AAAA,YAElB2E;AAAA,6BACiBC;AAAA;AAAA;AAAA,mBAGVF;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAWd,CAAC,EAAE,SAASo8F,GAAGhhG,EAAE,EAAEE,EAAEI,EAAE,KAAK,CAAC,IAAIC,EAAE,EAAE,MAAM,GAAG,EAAE,EAAE,MAAM,GAAGD,GAAG,OAAOC,EAAED,EAAE,MAAM,GAAG,EAAEA,EAAE,MAAM,IAAI,IAAI,EAAE+5C,EAAE,yBAAyB,CAAC,EAAEp4C,EAAE,CAAC,WAAW,EAAE,OAAO,EAAE,UAAU1B,EAAE,QAAQ,KAAK,KAAK,EAAE,CAAC,CAAC,EAAE2B,EAAE,IAAI4+F,GAAG7+F,EAAE/B,EAAEI,GAAG,IAAI,EAAE6B,EAAE,CAAC,CAAC,EAAE7B,GAAG,MAAM6B,EAAE,KAAK7B,CAAC,EAAE,IAAIsC,EAAE5C,EAAE,gBAAgBkC,EAAEC,EAAE,OAAO,EAAE,GAAGS,EAAE,MAAM,KAAK,EAAE,OAAOA,EAAE,IAAIC,EAAEm+F,GAAGhhG,EAAE,EAAEE,EAAE0C,CAAC,EAAE,OAAO5C,EAAE,8BAA8B4C,CAAC,EAAEC,CAAC,CAAC,SAASo+F,GAAGjhG,EAAE,EAAEE,EAAEI,EAAE,KAAK,CAAC,IAAIC,EAAED,GAAG,KAAKA,EAAE,MAAM,EAAE,MAAM,EAAEC,EAAEA,EAAE,OAAO,GAAG,EAAE85C,EAAE,yBAAyB,CAAC,EAAEp4C,EAAE,IAAI8+F,GAAGxgG,EAAE,EAAEL,EAAEI,GAAG,IAAI,EAAE4B,EAAE5B,GAAG,KAAK,CAAC,CAAC,EAAE,CAAC,EAAEA,CAAC,EAAE6B,EAAEnC,EAAE,gBAAgBiC,EAAEC,EAAE,OAAO,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,OAAO,CAAC,IAAIS,EAAEq+F,GAAGjhG,EAAE,EAAEE,EAAEiC,CAAC,EAAE,OAAOnC,EAAE,8BAA8BmC,CAAC,EAAES,CAAC,CAAC,OAAOT,CAAC,CAAC,SAAS++F,GAAGlhG,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAE,CAACL,CAAC,EAAE,GAAGm6C,EAAE,2BAA2B,MAAM/5C,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAEC,EAAE,EAAE,MAAM,MAAM,EAAE,CAACka,EAAE,EAAE,QAAQ,mBAAmB,GAAG,EAAE,MAAM,QAAQ,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,EAAEza,EAAE,QAAQ,IAAI,EAAE,MAAM,EAAEiC,EAAE,IAAI,MAAM,EAAE,SAASC,EAAE,EAAED,IAAIC,EAAElC,EAAE,aAAa,CAAC,EAAE,EAAE,KAAKkC,CAAC,GAAG,GAAG,CAACC,EAAES,CAAC,EAAEy3C,EAAE,0BAA0Bn4C,EAAE,MAAM3B,CAAC,EAAEsC,EAAEgkB,EAAE,cAAcjkB,CAAC,EAAEE,EAAEy7F,GAAG,CAAC,OAAO,CAAC,EAAEr8F,CAAC,EAAE,QAAQlC,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG6C,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE,KAAKC,CAAC,EAAE,IAAIC,EAAEi+F,GAAGhhG,EAAE8C,EAAExC,CAAC,EAAE,EAAE,KAAKyC,CAAC,EAAE,IAAIC,EAAEu7F,GAAG,CAAC,OAAO,CAAC,EAAEx7F,CAAC,EAAE,QAAQ/C,EAAE,MAAM,CAAC,MAAMmC,CAAC,CAAC,CAAC,EAAE,OAAO,EAAE,QAAQ+B,GAAGlE,EAAE,8BAA8BkE,CAAC,CAAC,EAAElB,CAAC,CAAC,OAAOi+F,GAAGjhG,EAAE,EAAEM,CAAC,CAAC,CAAC,SAAS6gG,GAAInhG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAEumB,EAAE,eAAe,EAAEtmB,EAAE,KAAK,EAAE0B,EAAEo4C,EAAE,mBAAmB,EAAE95C,EAAE,MAAM,MAAM,EAAE2B,EAAE3B,EAAE4B,EAAE,CAAC,EAAEF,GAAG,OAAOC,EAAEk9F,GAAG,CAAC,OAAO,CAAC,EAAE7+F,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAK+B,CAAC,CAAC,CAAC,EAAEE,EAAE,KAAKD,CAAC,EAAE,EAAEm4C,EAAE,iBAAiB,EAAE,OAAOn4C,EAAE,MAAM,MAAM,GAAGm4C,EAAE,2BAA2B,SAAS,CAAC,EAAE,EAAE,EAAEn4C,EAAE,MAAM,MAAM,EAAE,IAAIU,EAAEs+F,GAAGhhG,EAAEgC,EAAE,EAAE,GAAG,KAAK,EAAE,OAAOC,EAAE,QAAQU,GAAG3C,EAAE,8BAA8B2C,CAAC,CAAC,EAAED,CAAC,CAAC,IAAIw+F,GAAG,CAAC,WAAW3lF,GAAG,YAAY,QAAQ,WAAW0lF,EAAG,EAAE,SAASE,GAAIrhG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAEumB,EAAE,eAAe,EAAEtmB,EAAE,KAAK,EAAE0B,EAAEo4C,EAAE,mBAAmB,EAAE95C,EAAE,MAAM,MAAM,EAAE2B,EAAE3B,EAAE4B,EAAE,CAAC,EAAEF,GAAG,OAAOC,EAAEk9F,GAAG,CAAC,OAAO,CAAC,EAAE7+F,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAK+B,CAAC,CAAC,CAAC,EAAEE,EAAE,KAAKD,CAAC,EAAE,EAAEm4C,EAAE,iBAAiB,EAAE,OAAOn4C,EAAE,MAAM,MAAM,GAAGm4C,EAAE,2BAA2B,SAAS,CAAC,EAAE,EAAE,EAAEn4C,EAAE,MAAM,MAAM,EAAE,IAAIU,EAAEs+F,GAAGhhG,EAAEgC,EAAE,EAAE,GAAG,KAAK,EAAE,OAAOC,EAAE,QAAQU,GAAG3C,EAAE,8BAA8B2C,CAAC,CAAC,EAAED,CAAC,CAAC,IAAI0+F,GAAG,CAAC,WAAW5lF,GAAG,YAAY,QAAQ,WAAW2lF,EAAG,EAAME,GAAIvG,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA,EAK1mEwG,GAAI3D,GAAG,CAAC,UAAU0D,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAW9lF,GAAG,YAAY,QAAQ,WAAW6lF,EAAG,EAAME,GAAI1G,GAAG,qCAAqC2G,GAAI9D,GAAG,CAAC,UAAU6D,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAWhmF,GAAG,YAAY,QAAQ,WAAW+lF,EAAG,EAAME,GAAI7G,GAAG;AAAA;AAAA,EAEvN8G,GAAIjE,GAAG,CAAC,UAAUgE,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAWlmF,GAAG,YAAY,QAAQ,WAAWimF,EAAG,EAAME,GAAIpF,GAAG;AAAA;AAAA,EAEzFqF,GAAI;AAAA;AAAA;AAAA;AAAA;AAAA,IAKFnF,GAAG;AAAA;AAAA,EAELoF,GAAIpE,GAAG,CAAC,UAAUkE,GAAI,gBAAgBC,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAWpmF,GAAG,YAAY,QAAQ,WAAWmmF,EAAG,EAAME,GAAIpH,GAAG;AAAA;AAAA,6CAElEqH,GAAIxE,GAAG,CAAC,UAAUuE,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAWxmF,GAAG,YAAY,QAAQ,WAAWumF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYzhG,EAAEZ,EAAE,EAAEK,EAAE,GAAGwB,EAAE,GAAG,CAAC,GAAG,KAAK,cAAc,CAAC,GAAG,EAAE7B,IAAI,OAAO,EAAE,MAAM,IAAI,MAAM,4CAA4C,EAAE,IAAI8B,EAAElB,EAAE,YAAYmB,EAAEnB,EAAE,aAAaoB,EAAEpB,EAAE,YAAY,EAAEA,EAAE,eAAe8B,EAAE9B,EAAE,cAAc,EAAEA,EAAE,sBAAsBgC,EAAEhC,EAAE,qBAAqBiC,EAAEjC,EAAE,QAAQ,IAAIkC,EAAElC,EAAE,QAAQ,KAAK,KAAK,YAAYA,EAAE,SAAS,IAAIoD,EAAEhE,IAAI,MAAMiE,EAAE,cAAcrD,EAAE,oBAAoBA,EAAE,mBAAmBA,EAAE,iBAAiByG,EAAE,SAASzG,EAAE,mBAAmBA,EAAE,iBAAiB,EAAE,MAAM,GAAGoD,IAAI,EAAE,gBAAgB,EAAE,CAAC,IAAIc,EAAE,KAAK,KAAK,SAAS;AAAA,sCAC9nB/C,MAAMC;AAAA,mCACTa,MAAMC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAkBP;AAAA,sBACZ;AAAA;AAAA;AAAA,kCAGYlC,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAgC;AAAA,wBACZF;AAAA;AAAA;AAAA,oCAGY9B,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0BAUZkE;AAAA;AAAA;AAAA,mCAGSzE,EAAEwB,EAAEoC,EAAEoD,EAAE,QAAQzE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAM3C,MAAM,CAAC,IAAI6B,EAAE,MAAMC,EAAE,GAAG1E,KAAKA,KAAKA,sEAAsEA,IAAI,QAAQ0E,EAAE,oBAAoB,IAAIC,EAAE,KAAK,MAAM7C,EAAE,CAAC,EAAE,EAAE8C,EAAE9C,EAAE,EAAEwF,EAAE;AAAA,YACtKtD;AAAA;AAAA;AAAA,wBAGYS;AAAA;AAAA,MAElB,KAAK,SAAS;AAAA,oCACgB1C,MAAMC;AAAA,iCACTa,MAAMC;AAAA,0CACG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMZlC,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAkBE;AAAA;AAAA;AAAA;AAAA,gCAIF;AAAA,oBACZ;AAAA;AAAA;AAAA,gCAGYA,EAAE;AAAA;AAAA;AAAA;AAAA,kCAIA+D;AAAA,uCACKjC;AAAA;AAAA;AAAA;AAAA,yCAIEA;AAAA,6CACIA;AAAA,6CACAA;AAAA;AAAA;AAAA,cAG/B4E;AAAA;AAAA;AAAA,gCAGkB3C;AAAA,gBAChBC,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,cAQN0C;AAAA,uBACS1C,IAAI;AAAA;AAAA;AAAA,yCAGclC;AAAA;AAAA;AAAA;AAAA;AAAA,cAK3B4E;AAAA,uBACS1C,IAAI;AAAA;AAAA;AAAA,yCAGclC;AAAA,6CACIA;AAAA;AAAA;AAAA;AAAA,cAI/B4E;AAAA;AAAA;AAAA,oBAGM5C;AAAA;AAAA,KAEf,CAAC,EAAE49F,GAAG,KAAK,CAAC,YAAY1hG,EAAEZ,EAAE,EAAEK,EAAE,GAAGwB,EAAE,GAAG,CAAC,GAAG,KAAK,cAAc,CAAC,GAAG,EAAE7B,IAAI,OAAO,EAAE,MAAM,IAAI,MAAM,4CAA4C,EAAE,IAAI8B,EAAElB,EAAE,YAAYmB,EAAEnB,EAAE,YAAYoB,EAAEpB,EAAE,aAAa,EAAEA,EAAE,YAAY8B,EAAE9B,EAAE,cAAc,EAAEA,EAAE,eAAegC,EAAEhC,EAAE,cAAciC,EAAEjC,EAAE,qBAAqBkC,EAAElC,EAAE,sBAAsBoD,EAAEpD,EAAE,qBAAqBqD,EAAErD,EAAE,QAAQ,MAAMyG,EAAEzG,EAAE,QAAQ,IAAI,EAAEA,EAAE,QAAQ,KAAK,KAAK,YAAYA,EAAE,SAAS,IAAI6D,EAAEzE,IAAI,MAAM0E,EAAE,MAAM,GAAGD,IAAIC,EAAE,gBAAgB,EAAE,CAAC,IAAIK,EAAE,KAAK,KAAK,SAAS;AAAA;AAAA,oBAErehD,MAAMC,MAAM;AAAA,mCACGiC,MAAMoD,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAkBbxE;AAAA,sBACZH;AAAA;AAAA;AAAA,kCAGY9B,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAkC;AAAA,wBACZ;AAAA;AAAA;AAAA,oCAGYlC,EAAE;AAAA;AAAA;AAAA;AAAA,sCAIAoD;AAAA,0BACZpB;AAAA;AAAA;AAAA,sCAGYhC,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,4BAUZmE;AAAA;AAAA;AAAA,qCAGS1E,EAAEwB,EAAE,cAAcjB,EAAE,mBAAmBA,EAAE,oBAAoBA,EAAE,mBAAmBA,EAAE,kBAAkB,UAAUA,EAAE,oBAAoBA,EAAE,mBAAmBA,EAAE,kBAAkB,QAAQkC,OAAOkB;AAAA,6BACtMA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAOrB,MAAM,CAAC,IAAIW,EAAE,MAAMC,EAAE,GAAG5E,KAAKA,KAAKA,sEAAsEA,IAAI,QAAQ4E,EAAE,oBAAoB,IAAI0C,EAAE,KAAK,MAAMxF,EAAE,CAAC,EAAE,EAAEgD,EAAEhD,EAAE,EAAEyF,EAAE;AAAA,YACtK9C;AAAA;AAAA;AAAA,wBAGYE;AAAA;AAAA,MAElB,KAAK,SAAS;AAAA;AAAA,gBAEJ5C,MAAMC,MAAM;AAAA,iCACKiC,MAAMoD,MAAM;AAAA,0CACH3C;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMZ9D,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAmBE8D;AAAA;AAAA;AAAA;AAAA,gCAIF7B;AAAA,oBACZH;AAAA;AAAA;AAAA,gCAGY9B,EAAE;AAAA;AAAA;AAAA;AAAA,kCAIAkC;AAAA,oBACd;AAAA;AAAA;AAAA,kCAGclC,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIA0G;AAAA,yCACK1E;AAAA;AAAA;AAAA;AAAA,+CAIMA;AAAA,mDACIA;AAAA,mDACAA;AAAA;AAAA;AAAA,gBAGnC2E;AAAA;AAAA;AAAA,kCAGkBD;AAAA,kBAChBxC,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gBAQNyC;AAAA,yBACSzC,IAAI;AAAA;AAAA;AAAA,+CAGkBlC;AAAA;AAAA;AAAA;AAAA;AAAA,gBAK/B2E;AAAA,yBACSzC,IAAI;AAAA;AAAA;AAAA,+CAGkBlC;AAAA,mDACIA;AAAA;AAAA;AAAA;AAAA,gBAInC2E;AAAA;AAAA;AAAA,sBAGM3C;AAAA;AAAA;AAAA,KAGjB,CAAC,EAAE,SAAS29F,GAAIziG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE4sF,GAAG5sF,EAAE,SAAS,EAAE,GAAG,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,CAAC,EAAE5B,EAAE6B,EAAE,EAAE0kB,EAAE,OAAOwzB,EAAE,+BAA+B,EAAEl4C,CAAC,EAAE,IAAI,wEAAwE,oBAAoBA,IAAI,EAAE,IAAIS,EAAEy3C,EAAE,kBAAkB95C,EAAE,MAAM,EAAE,EAAE4B,EAAEF,EAAEC,CAAC,EAAE,GAAGU,EAAE,cAAc,GAAGA,EAAE,eAAe,GAAGikB,EAAE,YAAYjkB,EAAE,QAAQA,EAAE,QAAQ,EAAE,OAAOo6F,GAAG,CAAC,OAAO,CAAC,EAAEz8F,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,IAAI2C,EAAE,IAAI0/F,GAAG3/F,EAAE,MAAM,EAAE,EAAE,OAAO1C,EAAE,gBAAgB2C,EAAE,CAACtC,CAAC,EAAE,SAAS,CAAC,CAAC,IAAImiG,GAAG,CAAC,WAAW1mF,GAAG,YAAY,QAAQ,WAAWymF,EAAG,EAAE,SAASE,GAAI3iG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,EAAE,WAAWC,CAAC,EAAE7B,EAAEsC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEC,EAAEw3C,EAAE,kBAAkB95C,EAAE,MAAM,EAAE,EAAEqC,EAAEX,EAAEC,EAAEC,CAAC,EAAEW,EAAE,IAAI0/F,GAAG3/F,EAAE,MAAM,EAAE,EAAE,OAAO3C,EAAE,gBAAgB4C,EAAE,CAACvC,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIqiG,GAAG,CAAC,WAAW1mF,GAAG,YAAY,QAAQ,WAAWymF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAY/hG,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,EAAE,KAAK,YAAYA,EAAE,QAAQ,IAAIZ,EAAEY,EAAE,aAAa,EAAEA,EAAE,YAAYP,EAAEO,EAAE,aAAaiB,EAAEjB,EAAE,YAAYkB,EAAElB,EAAE,eAAemB,EAAEnB,EAAE,cAAcoB,EAAEpB,EAAE,sBAAsB,EAAEA,EAAE,qBAAqB8B,EAAEV,EAAE,EAAEpB,EAAE,QAAQ,IAAI,EAAE,EAAE,EAAEA,EAAE,QAAQ,KAAKgC,EAAE,GAAG5C,EAAE,GAAG,KAAK,SAAS;AAAA,iCACpnC0C,MAAM;AAAA,0CACGE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAcVZ;AAAA,oBACZF;AAAA,gDAC4BzB;AAAA;AAAA,oCAEZO,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,kCAKJ;AAAA,mBACfmB;AAAA,kDAC+BF;AAAA;AAAA,sCAEZjB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAanC,CAAC,EAAEgiG,GAAG,KAAK,CAAC,YAAYhiG,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,EAAE,KAAK,YAAYA,EAAE,QAAQ,IAAIZ,EAAEY,EAAE,YAAY,EAAEA,EAAE,aAAaP,EAAEO,EAAE,YAAYiB,EAAEjB,EAAE,YAAYkB,EAAElB,EAAE,aAAamB,EAAEnB,EAAE,YAAYoB,EAAEpB,EAAE,cAAc,EAAEA,EAAE,eAAe8B,EAAE9B,EAAE,cAAc,EAAEA,EAAE,qBAAqBgC,EAAEhC,EAAE,sBAAsBiC,EAAEjC,EAAE,qBAAqBkC,EAAE,EAAE,EAAElC,EAAE,QAAQ,MAAMoD,EAAEpB,EAAE,EAAEhC,EAAE,QAAQ,IAAIqD,EAAEpB,EAAE,EAAEjC,EAAE,QAAQ,KAAKyG,EAAE,GAAGrH,EAAE,EAAEK,GAAG,KAAK,SAAS;AAAA,iCACtXyC,MAAMkB,MAAMC;AAAA,0CACHoD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAiBV;AAAA,oBACZrF;AAAA,gDAC4BH;AAAA;AAAA,oCAEZjB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,kCAKJgC;AAAA,sBACZ;AAAA,kDAC4Bd;AAAA;AAAA,sCAEZlB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oCAMJiC;AAAA,wBACZH;AAAA,oDAC4BX;AAAA;AAAA,wCAEZnB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAcrC,CAAC,EAAE,SAASiiG,GAAI/iG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,MAAM,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,WAAW0B,EAAE,QAAQC,EAAE,IAAIC,EAAE,gBAAgBS,CAAC,EAAEtC,EAAEuC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEC,EAAEu3C,EAAE,kBAAkB,EAAE,MAAMp4C,EAAEC,EAAEW,EAAEV,EAAES,CAAC,EAAEG,EAAE,IAAI+/F,GAAGhgG,CAAC,EAAE,OAAO5C,EAAE,gBAAgB6C,EAAE,CAACxC,CAAC,EAAE,EAAE,KAAK,CAAC,CAAC,IAAIyiG,GAAG,CAAC,WAAW7mF,GAAG,YAAY,QAAQ,WAAW4mF,EAAG,EAAE,SAASE,GAAIjjG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,MAAM,CAAC,EAAE,EAAE,EAAE,EAAE4sF,GAAG,CAAC5sF,EAAE,CAAC,EAAE,aAAa,EAAE,GAAG,CAAC,WAAW0B,EAAE,QAAQC,EAAE,IAAIC,CAAC,EAAE7B,EAAEsC,EAAEy3C,EAAE,kBAAkB,EAAE,MAAMp4C,EAAEC,EAAE,EAAEC,CAAC,EAAEU,EAAE,IAAIggG,GAAGjgG,CAAC,EAAE,OAAO1C,EAAE,gBAAgB2C,EAAE,CAACtC,CAAC,EAAE,EAAE,KAAK,CAAC,CAAC,IAAI2iG,GAAG,CAAC,WAAWjnF,GAAG,YAAY,QAAQ,WAAWgnF,EAAG,EAAE,SAASE,GAAInjG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,WAAW0B,CAAC,EAAE3B,EAAE,OAAOi/F,GAAG,CAAC,EAAEh/F,EAAE,EAAE,EAAE,WAAW,EAAE,WAAW0B,EAAE,QAAQ/B,CAAC,CAAC,CAAC,CAAC,IAAIkjG,GAAG,CAAC,WAAWhnF,GAAG,YAAY,QAAQ,WAAW+mF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYviG,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAE,CAAC,KAAK,YAAY,CAAC,EAAE,KAAK,cAAc,CAAC,IAAI,OAAO,UAAU,EAAEq4C,EAAE,2BAA2Bv5C,EAAEZ,CAAC,EAAEm6C,EAAE,2BAA2Bv5C,EAAE,CAAC,EAAE,IAAImB,EAAE,MAAM1B,GAAG,OAAO85C,EAAE,2BAA2Bv5C,EAAEP,CAAC,EAAE,KAAK,cAAc,KAAK,QAAQ,EAAE0B,EAAE,0BAA0B,IAAIC,EAAE,MAAMH,GAAG,OAAOs4C,EAAE,2BAA2Bv5C,EAAEiB,CAAC,EAAE,KAAK,cAAc,KAAK,OAAO,EAAEG,EAAE,yBAAyB,KAAK,YAAYpB,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA,yBAKrqCmB;AAAA,wBACDC;AAAA,2DACmCF;AAAA;AAAA;AAAA,KAGtD,CAAC,EAAMshG,GAAG,KAAK,CAAC,YAAYxiG,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAE,CAAC,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,cAAc,CAAC,IAAI,OAAO,UAAU,EAAEq4C,EAAE,2BAA2Bv5C,EAAEZ,CAAC,EAAEm6C,EAAE,2BAA2Bv5C,EAAE,CAAC,EAAE,IAAImB,EAAE,YAAY1B,GAAG,OAAO85C,EAAE,2BAA2Bv5C,EAAEP,CAAC,EAAE,KAAK,cAAc,KAAK,QAAQ,EAAE0B,EAAE,0BAA0B,IAAIC,EAAE,YAAYH,GAAG,OAAOs4C,EAAE,2BAA2Bv5C,EAAEiB,CAAC,EAAE,KAAK,cAAc,KAAK,OAAO,EAAEG,EAAE,yBAAyB,KAAK,YAAYpB,EAAE,KAAK,SAAS;AAAA;AAAA,wBAEtcmB;AAAA,uBACDC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yDAMkCF;AAAA;AAAA;AAAA;AAAA,KAIpD,CAAC,EAAMuhG,GAAI,CAAC,CAAC,OAAOvjG,EAAE,QAAQ,EAAE,MAAME,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEI,EAAE,KAAKC,EAAE,SAAS,EAAE,OAAO,EAAE,MAAM0B,CAAC,EAAEjC,EAAE6mB,EAAE,OAAOtmB,EAAE,MAAM,SAAS,EAAE,MAAM,OAAO,IAAI,8EAA8E,EAAEsmB,EAAE,OAAO,GAAG,MAAMtmB,EAAE,MAAM,SAAS,EAAE,MAAM,OAAO,IAAI,4EAA4E,EAAEsmB,EAAE,OAAO5kB,GAAG,MAAM1B,EAAE,MAAM,SAAS0B,EAAE,MAAM,OAAO,IAAI,2EAA2E,EAAE,GAAG,CAAC,gBAAgBC,CAAC,EAAEhC,EAAEgC,GAAG,OAAOA,EAAE,MAAM,IAAIC,EAAE,CAAC7B,EAAEC,EAAE,CAAC,EAAEqC,EAAE,KAAK,GAAG,OAAOA,EAAE,EAAE,MAAMT,EAAE,KAAK,CAAC,GAAG,IAAIU,EAAE,KAAKZ,GAAG,OAAOY,EAAEZ,EAAE,MAAME,EAAE,KAAKF,CAAC,GAAG,IAAIa,EAAE2X,EAAE,EAAE,QAAQ,0BAA0B,EAAE,IAAI6oF,GAAGhjG,EAAE,MAAMC,EAAE,MAAM,EAAE,MAAMqC,EAAEC,EAAEX,CAAC,EAAE,IAAImhG,GAAG/iG,EAAE,MAAMC,EAAE,MAAM,EAAE,MAAMqC,EAAEC,EAAEX,CAAC,EAAE,OAAO,EAAE,gBAAgBY,EAAEX,EAAEA,EAAE,GAAG,KAAK,CAAC,EAAEqhG,GAAG,CAAC,WAAWvkF,GAAG,YAAY,QAAQ,WAAWskF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAY3iG,EAAE,CAAC,KAAK,cAAc,CAAC,QAAQ,EAAE,KAAK,YAAYA,EAAE,KAAK,KAAKA,EAAE,OAAO,IAAIZ,EAAE40F,GAAG,KAAK,IAAI,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,QAAQ,WAAW,KAAK,KAAK,KAAK,KAAK,CAAC,EAAE,IAAI,EAAE4O,GAAI,KAAK,IAAI,EAAEnjG,EAAEwB,EAAEjB,EAAE,IAAI,CAACkB,EAAEC,IAAI,aAAa0hG,GAAG1hG,cAAcA,eAAe0hG,GAAG1hG,KAAK,EAAE1B,EAAE;AAAA,UACplCL;AAAA,UACAA;AAAA,UACA6B,EAAE,KAAK;AAAA,CAChB;AAAA,QACO,KAAK,SAAS;AAAA;AAAA,UAEZxB;AAAA,8BACoB;AAAA;AAAA,KAEzB,CAAC,EAAEojG,GAAG,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,GAAG,EAAE,SAASD,GAAI1jG,EAAE,CAAC,GAAGA,IAAI,EAAE,MAAM,YAAY,GAAGA,GAAG,EAAE,OAAO2jG,GAAG,MAAM,EAAE3jG,CAAC,EAAE,IAAI,GAAG,aAAa,CAAC,EAAE,KAAK,GAAG,EAAE,MAAM,MAAM,oBAAoBA,wBAAwB,CAAC,CAAC,IAAI4jG,GAAG,KAAK,CAAC,YAAY9iG,EAAE,CAAC,KAAK,cAAc,CAAC,QAAQ,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAYA,EAAE,KAAK,KAAKA,EAAE,OAAO,KAAK,eAAe,CAAC,CAAC,KAAK,QAAQ,WAAW,KAAK,KAAK,KAAK,KAAK,CAAC,EAAE,IAAIZ,EAAE40F,GAAG,KAAK,IAAI,EAAE,EAAEqF,GAAG,SAAS,KAAK,IAAI,EAAE55F,EAAE45F,GAAG,YAAY,KAAK,IAAI,EAAEp4F,EAAE,KAAK,OAAO,EAAE,YAAY,QAAQxB,EAAE,MAAM,EAAE,EAAE,KAAK,KAAKyB,EAAE,wBAAwBzB,EAAE,KAAK,OAAOwB,KAAKE,EAAE;AAAA,mBACtjBD;AAAA,cACL,EAAE,KAAK,KAAK,QAAQlB,EAAE,KAAK,KAAK;AAAA,YAClCP,EAAE,KAAK,KAAK;AAAA,qBACHyB;AAAA,YACTzB,EAAE,KAAK,KAAK;AAAA;AAAA,MAElB2B,EAAE,KAAK,OAAO,EAAE,GAAG;AAAA,UACf,EAAE,KAAK,KAAK;AAAA,cACR,EAAE,KAAK,KAAK,QAAQpB,EAAE,KAAK,KAAK;AAAA,YAClCP,EAAE,KAAK,KAAK;AAAA,qBACHyB;AAAA,gBACL,EAAE,KAAK,KAAK,QAAQlB,EAAE,KAAK,KAAK;AAAA,cAClCP,EAAE,KAAK,KAAK;AAAA,uBACHyB;AAAA;AAAA;AAAA,MAGjB,EAAE,KAAK,MAAM,EAAE;AAAA,cACP9B,KAAKY,EAAE,IAAI,CAAC8B,EAAE,IAAI,SAAS,IAAI,EAAE,KAAK,MAAM9B,EAAE,IAAI,CAAC8B,EAAE,IAAI,GAAGrC,EAAE,QAAQ,EAAE,cAAc,KAAK,EAAE,KAAK;AAAA,CAC/G,EAAE,KAAK,SAAS;AAAA;AAAA,UAEPL;AAAA,UACAA;AAAA,UACA;AAAA;AAAA,UAEA+B;AAAA,UACAC;AAAA;AAAA;AAAA,KAGL,CAAC,EAAE,SAAS2hG,GAAI7jG,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAED,EAAE,QAAQ,IAAIN,EAAE,MAAM,EAAE,EAAEM,EAAE,eAAeJ,EAAEF,EAAE,KAAK,EAAE,EAAEM,EAAE,QAAQ,IAAI,EAAE,MAAM,EAAE,OAAO,OAAO,EAAEC,CAAC,EAAE,EAAE,SAAS,EAAE,EAAE,MAAML,EAAE,EAAE,MAAMF,EAAE,MAAM,IAAIiC,EAAEk0B,GAAG,kBAAkB,EAAEtP,EAAE,eAAe7mB,EAAE,KAAK,CAAC,EAAEO,EAAE,QAAQ0B,GAAG1B,EAAE,MAAM,YAAY,EAAE,MAAM,CAAC,WAAW0B,EAAE,WAAW1B,EAAE,OAAOA,EAAE,MAAM,YAAYP,EAAE,MAAM,EAAE,IAAIkC,EAAE5B,EAAE,aAAa,IAAI,EAAE,MAAM,UAAU,GAAG,EAAE,OAAOA,EAAE,aAAa,IAAI,EAAE,MAAM,WAAW4B,EAAE,CAAC,EAAE,CAAC,CAAC,SAAS4hG,GAAG9jG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,KAAK,CAAC,EAAED,EAAE,CAAC2B,EAAEC,CAAC,EAAEi0B,GAAG,iBAAiB51B,EAAE,EAAE,CAAC,EAAE,GAAG41B,GAAG,kBAAkB51B,EAAE0B,EAAEC,CAAC,EAAE2kB,EAAE,cAAc3kB,CAAC,IAAI,EAAE,OAAOhC,EAAE,eAAegC,EAAE3B,EAAE,MAAM,CAAC,CAAC,EAAE,GAAGL,EAAE,mBAAmB,CAACK,CAAC,CAAC,GAAGA,EAAE,QAAQ,SAAS,CAAC,IAAIsC,EAAE3C,EAAE,QAAQ,IAAIK,EAAE,MAAM,EAAEuC,EAAEs2F,GAAGv2F,EAAE,OAAOZ,EAAEC,EAAE3B,EAAE,MAAMA,EAAE,KAAK,EAAE,OAAOL,EAAE,eAAegC,EAAE3B,EAAE,MAAMuC,CAAC,CAAC,CAAC,GAAG,CAAC,SAASX,CAAC,EAAEjC,EAAE,QAAQ,IAAIK,EAAE,MAAM,EAAEqC,EAAEuzB,GAAG,iBAAiB51B,EAAE,MAAM0B,EAAEC,CAAC,EAAE,GAAGC,GAAG,CAACS,EAAE,CAAC,IAAIC,EAAE4X,EAAE,EAAE,QAAQ,6BAA6B,EAAE,IAAImpF,GAAG1hG,CAAC,EAAE,IAAIuhG,GAAGvhG,CAAC,EAAEY,EAAE,CAACb,CAAC,EAAE,OAAO/B,EAAE,gBAAgB2C,EAAE,CAACtC,CAAC,EAAEA,EAAE,MAAMuC,CAAC,CAAC,CAAC,OAAO5C,EAAE,YAAYK,EAAE,MAAM,EAAEsjG,GAAItjG,EAAE0B,EAAEC,EAAEhC,CAAC,CAAC,CAAC,IAAI6jG,GAAG,CAAC,WAAWvgF,GAAG,YAAY,QAAQ,WAAWsgF,EAAE,EAAME,GAAIhkG,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,MAAM,CAAC,EAAED,EAAEumB,EAAE,OAAOtmB,EAAE,MAAM,QAAQ,EAAE,IAAI,sEAAsE,EAAE,IAAI0B,EAAE,EAAE,OAAO,CAAC8C,EAAEJ,IAAII,EAAEJ,CAAC,EAAEzC,EAAEm4C,EAAE,YAAY95C,EAAE,MAAM,EAAE0B,CAAC,EAAEE,EAAEk4C,EAAE,YAAYn4C,EAAE,OAAO,EAAE,MAAM,EAAEU,EAAEy3C,EAAE,oBAAoB95C,EAAE,MAAM,EAAE0B,CAAC,EAAEY,EAAEw3C,EAAE,oBAAoB,EAAE,EAAE,MAAM,EAAEv3C,EAAEu3C,EAAE,aAAaz3C,EAAE,EAAE,EAAE,MAAM,EAAEG,EAAE,CAAC,EAAEC,EAAEu7F,GAAG,CAAC,OAAO,CAAC,EAAEh+F,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAMgC,CAAC,CAAC,CAAC,EAAEgC,EAAEk7F,GAAG,CAAC,OAAO,CAAC,EAAEp8F,CAAC,EAAE,QAAQ9C,EAAE,MAAM,CAAC,KAAKiC,CAAC,CAAC,CAAC,EAAE,EAAEo8F,GAAG,CAAC,OAAO,CAAC,EAAEr6F,CAAC,EAAE,QAAQhE,EAAE,MAAM,CAAC,MAAM0C,CAAC,CAAC,CAAC,EAAE2E,EAAEu8F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ5jG,EAAE,MAAM,CAAC,MAAM2C,EAAE,KAAKC,CAAC,CAAC,CAAC,EAAE,OAAOC,EAAE,KAAKC,CAAC,EAAED,EAAE,KAAKmB,CAAC,EAAEnB,EAAE,KAAK,CAAC,EAAEA,EAAE,QAAQgC,GAAG7E,EAAE,8BAA8B6E,CAAC,CAAC,EAAEwC,CAAC,EAAE08F,GAAG,CAAC,WAAW5nF,GAAG,YAAY,QAAQ,WAAW2nF,EAAG,EAAE,SAASE,GAAIlkG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE2B,EAAE/B,EAAE,SAASK,EAAE,MAAM,EAAE2B,EAAEhC,EAAE,SAAS,EAAE,MAAM,EAAEiC,EAAEk1F,GAAGp1F,EAAEC,EAAE,EAAE,MAAM,EAAE,MAAM,CAAC,EAAE,OAAOhC,EAAE,eAAe,CAAC,CAAC,EAAE,EAAE,MAAMiC,CAAC,CAAC,CAAC,IAAIgiG,GAAG,CAAC,WAAW7nF,GAAG,YAAY,QAAQ,WAAW4nF,EAAG,EAAE,SAASE,GAAIpkG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,GAAGM,EAAE,GAAGC,CAAC,EAAE,EAAE,EAAEL,EAAE,SAASI,EAAE,MAAM,EAAE,EAAEJ,EAAE,SAASK,EAAE,MAAM,EAAE0B,EAAEo4C,EAAE,2BAA2B,MAAM,KAAK,CAAC,EAAE,MAAM,KAAK,CAAC,CAAC,EAAE,OAAOn6C,EAAE,eAAe,CAAC+B,EAAE,MAAM,EAAE,QAAQ,WAAW,KAAKA,CAAC,CAAC,CAAC,CAAC,IAAIoiG,GAAG,CAAC,WAAW7nF,GAAG,YAAY,QAAQ,WAAW4nF,EAAG,EAAME,GAAI,wBAAwBC,GAAGzG,GAAG,CAAC,UAAUwG,GAAI,cAAc3L,GAAG,MAAM,MAAM,CAAC,EAAE6L,GAAG,CAAC,WAAW/iF,GAAG,YAAY,QAAQ,WAAW8iF,EAAE,EAAE,SAASE,GAAGzkG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMM,CAAC,EAAE,EAAEC,EAAEL,EAAE,QAAQ,IAAII,EAAE,MAAM,EAAE,OAAO08F,GAAG,CAAC,OAAO,CAAC,EAAEz8F,EAAE,mBAAmB,IAAI,EAAE,QAAQL,CAAC,CAAC,CAAC,CAAC,IAAIwkG,GAAG,CAAC,WAAWliF,GAAG,YAAY,QAAQ,WAAWiiF,EAAE,EAAME,GAAI,wBAAwB,SAASC,GAAG5kG,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI66F,GAAG/6F,EAAE,MAAM2kG,EAAG,EAAErkG,EAAE,EAAE,gBAAgBJ,EAAE,CAACF,CAAC,EAAE,OAAO,EAAE,MAAM,CAAC,OAAOM,EAAE,OAAO,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,SAASukG,GAAG7kG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE,GAAG,IAAI,YAAY,CAAC,GAAGC,EAAE,QAAQ,YAAY,OAAOy8F,GAAG,CAAC,OAAO,CAAC,EAAEz8F,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,IAAI,EAAEkoC,GAAG7nC,EAAE,KAAK,EAAE0B,EAAE4iG,GAAG,CAAC,OAAO,CAAC,EAAEtkG,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAEgC,EAAEg7F,GAAG,CAAC,OAAO,CAAC,KAAKj7F,EAAE,KAAK,CAAC,EAAE,QAAQ/B,CAAC,CAAC,EAAE,OAAO,EAAE,QAAQ,EAAEA,EAAE,8BAA8B+B,CAAC,EAAEC,CAAC,CAAC,GAAG3B,EAAE,QAAQ,YAAY,CAAC,IAAI,EAAEkkG,GAAG,CAAC,OAAO,CAAC,MAAMlkG,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE+B,EAAE4iG,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ3kG,EAAE,MAAM,CAAC,MAAM,CAAC,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B,CAAC,EAAE+B,CAAC,CAAC,GAAG,CAAC4kB,EAAE,gBAAgBtmB,EAAE,MAAM,CAAC,EAAE,CAAC,IAAI,EAAEy8F,GAAG,CAAC,OAAO,CAAC,EAAEz8F,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,MAAM,CAAC,OAAO,EAAE,OAAO,MAAM,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC,GAAGA,EAAE,mBAAmB,CAACK,CAAC,CAAC,EAAE,CAAC,IAAI,EAAEL,EAAE,QAAQ,IAAIK,EAAE,MAAM,EAAE,OAAO,CAAC0B,EAAEC,EAAEC,CAAC,EAAEo1F,GAAG,EAAEh3F,EAAE,MAAMA,EAAE,MAAM,CAAC,EAAE,OAAOL,EAAE,eAAe+B,EAAEC,EAAEC,CAAC,CAAC,CAAC,GAAG,IAAI,QAAQ,OAAOyiG,GAAGrkG,EAAEL,CAAC,EAAE,GAAG,IAAI,OAAO,CAAC,IAAI,EAAEA,EAAE,eAAe,CAAC,EAAE,OAAO2mB,EAAE,uBAAuB,OAAO,CAAC,CAAC,EAAE3kB,EAAEqiG,GAAG,CAAC,OAAO,CAAC,EAAEhkG,EAAE,EAAE,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B,CAAC,EAAEgC,CAAC,CAAC,MAAM,IAAI,MAAM,iCAAiC3B,EAAE,YAAY,GAAG,CAAC,CAAC,IAAIukG,GAAG,CAAC,WAAWroF,GAAG,YAAY,QAAQ,WAAWooF,EAAE,EAAME,GAAG,kBAAkBC,GAAInH,GAAG,CAAC,UAAUkH,GAAG,gBAAgBA,GAAG,cAAcvN,EAAE,CAAC,EAAEyN,GAAG,CAAC,WAAWvoF,GAAG,YAAY,QAAQ,WAAWsoF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYpkG,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,SAAS,KAAK,OAAO,EAAE,CAAC,KAAK,SAAS,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAWjlI,CAAC,EAAMqkG,GAAG,KAAK,CAAC,YAAYrkG,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,eAAe,CAAC,CAAC,KAAK,SAAS,KAAK,OAAO,EAAE,CAAC,KAAK,SAAS,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAWnN,CAAC,EAAE,SAASskG,GAAIplG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,aAAa,EAAE,aAAa,CAAC,EAAED,EAAE2B,EAAEwY,EAAE,EAAE,QAAQ,iBAAiB,EAAExY,EAAE,IAAIkjG,GAAG5kG,EAAE,KAAK,EAAE0B,EAAE,IAAIijG,GAAG3kG,EAAE,KAAK,EAAE,IAAI2B,EAAE,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,EAAE,OAAOhC,EAAE,gBAAgB+B,EAAE,CAAC1B,CAAC,EAAEA,EAAE,MAAM2B,CAAC,CAAC,CAAC,IAAImjG,GAAG,CAAC,WAAW1oF,GAAG,YAAY,QAAQ,WAAWyoF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYxkG,EAAE,CAAC,KAAK,cAAc,CAAC,OAAO,MAAM,EAAE,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAaxX,CAAC,EAAE,SAASykG,GAAGvlG,EAAE,EAAE,CAAC,MAAM,CAAC,OAAO,EAAE,OAAO,MAAM,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,SAASwlG,GAAIxlG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,CAAC,EAAE,EAAEC,EAAEL,EAAE,QAAQ,IAAII,EAAE,MAAM,EAAE,EAAE,IAAIglG,GAAGhlG,EAAE,KAAK,EAAE,EAAE,CAACilG,GAAGjlG,EAAEC,EAAE,mBAAmB,IAAI,EAAEglG,GAAGjlG,EAAEC,EAAE,mBAAmB,IAAI,CAAC,EAAE,OAAOL,EAAE,gBAAgB,EAAE,EAAE,EAAE,GAAG,KAAK,CAAC,CAAC,IAAIulG,GAAG,CAAC,WAAW5oF,GAAG,YAAY,QAAQ,WAAW2oF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAY5kG,EAAE,CAAC,KAAK,YAAY,CAAC,EAAE,KAAK,YAAYu5C,EAAE,gBAAgBv5C,EAAE,CAAC,EAAE,KAAK,cAAcA,EAAE,IAAI,CAACkB,EAAEC,IAAI,IAAIA,GAAG,EAAE,IAAI/B,EAAE,IAAI,MAAMY,EAAE,OAAO,CAAC,EAAEZ,EAAE,GAAGY,EAAE,GAAG,GAAG,QAAQkB,EAAE,EAAEA,EAAE9B,EAAE,OAAO8B,IAAI9B,EAAE8B,GAAG9B,EAAE8B,EAAE,GAAGlB,EAAEkB,GAAG,GAAG,IAAI,EAAE,CAAC,YAAY9B,EAAE,+BAA+B,EAAE,QAAQ8B,EAAE,EAAEA,EAAE9B,EAAE,OAAO8B,IAAI,CAAC,IAAIC,EAAE/B,EAAE8B,EAAE,GAAG,EAAE,KAAK,iBAAiB9B,EAAE8B,qBAAqBA,YAAYC,MAAM,CAAC,CAAC,IAAI1B,EAAEL,EAAE,OAAO6B,EAAE7B,EAAEA,EAAE,OAAO,GAAG,EAAE,KAAK,sBAAsBK,YAAYwB,MAAM,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAMjyB,EAAE,KAAK;AAAA,SACR;AAAA;AAAA,KAEJ,CAAC,EAAM4jG,GAAG,KAAK,CAAC,YAAY7kG,EAAEZ,EAAE,CAAC,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAY,CAAC,EAAE,KAAK,YAAYm6C,EAAE,gBAAgBv5C,EAAEZ,CAAC,EAAE,IAAI,EAAE,KAAK,YAAYK,EAAE,EAAE,OAAOwB,EAAE+yF,GAAGv0F,CAAC,EAAEyB,EAAEm4F,GAAG,SAAS55F,CAAC,EAAE0B,EAAE,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,GAAG,EAAE,MAAM,EAAE1B,CAAC,EAAE,KAAK,cAAcO,EAAE,IAAI,CAACoD,EAAEC,IAAI,IAAIA,GAAG,EAAE,IAAIjC,EAAE,IAAI,MAAMpB,EAAE,OAAO,CAAC,EAAEoB,EAAE,GAAGpB,EAAE,GAAGZ,GAAG,QAAQgE,EAAE,EAAEA,EAAEhC,EAAE,OAAOgC,IAAIhC,EAAEgC,GAAGhC,EAAEgC,EAAE,GAAGpD,EAAEoD,GAAGhE,GAAG,IAAI,EAAE+B,EAAE/B,GAAG0C,EAAEX,EAAE,MAAM,EAAE,EAAE,EAAEA,EAAE,KAAK,EAAEa,EAAE,OAAO,OAAOZ,EAAE;AAAA;AAAA,oBAEjZ,YAAYU,EAAE,KAAK;AAAA,WAC5B,QAAQsB,EAAE,EAAEA,EAAEhC,EAAE,OAAOgC,IAAI,CAAC,IAAIC,EAAEjC,EAAEgC,EAAE,GAAGpB,GAAG;AAAA,cACzC,OAAOZ,EAAEgC,UAAU,QAAQhC,EAAEgC,EAAE;AAAA;AAAA,kBAE3BA,KAAK0hG,GAAG3jG,EAAE,EAAEkC,CAAC;AAAA,mBACZyhG,GAAGhjG,EAAE,EAAEuB,CAAC;AAAA,UACjB,CAAC,IAAIpB,EAAEb,EAAE,OAAOc,EAAEd,EAAEA,EAAE,OAAO,GAAGY,GAAG;AAAA;AAAA,gBAE7BC,KAAK6iG,GAAG3jG,EAAE,EAAEe,CAAC;AAAA,iBACZ4iG,GAAGhjG,EAAE,EAAEI,CAAC,OAAO,KAAK,SAAS;AAAA,uBACvBf,EAAE,IAAIiC,GAAG,OAAOA,CAAC;AAAA,UAC9BpB;AAAA;AAAA;AAAA;AAAA,UAIAf;AAAA,sCAC4BC;AAAA;AAAA,UAE5BA,EAAEzB,EAAE,QAAQyB,EAAEzB,EAAE;AAAA,cACZyB,EAAEzB,EAAE,QAAQ,EAAEA,EAAE;AAAA,gCACEyB;AAAA;AAAA;AAAA,UAGtBA,EAAEzB,EAAE,QAAQyB,EAAEzB,EAAE;AAAA,cACZyB,EAAEzB,EAAE,QAAQ,EAAEA,EAAE;AAAA,gCACEyB;AAAA;AAAA;AAAA,UAGtBA,EAAEzB,EAAE,QAAQyB,EAAEzB,EAAE;AAAA,cACZyB,EAAEzB,EAAE,QAAQ,EAAEA,EAAE;AAAA,cAChByB,EAAEzB,EAAE,QAAQ,EAAEA,EAAE;AAAA,gCACEyB;AAAA;AAAA;AAAA;AAAA,KAI3B,CAAC,EAAE,SAAS4jG,GAAG5lG,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,QAAQ,CAAC,EAAE,OAAOA,EAAE,IAAI,CAAC+B,EAAEC,IAAIA,IAAI1B,EAAE,GAAGyB,OAAO7B,IAAI6B,CAAC,EAAE,KAAK,CAAC,CAAC,SAAS8jG,GAAG7lG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMM,CAAC,EAAE,EAAEC,EAAEL,EAAE,QAAQ,IAAII,EAAE,MAAM,EAAE,OAAO08F,GAAG,CAAC,OAAO,CAAC,EAAEz8F,EAAE,mBAAmB,IAAI,EAAE,QAAQL,CAAC,CAAC,CAAC,CAAC,IAAI4lG,GAAG,CAAC,WAAWtmF,GAAG,YAAY,QAAQ,WAAWqmF,EAAE,EAAE,SAASE,GAAG/lG,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,GAAG,MAAM,GAAGM,IAAI,YAAY,CAAC,IAAIuC,EAAE7C,EAAE,IAAI,GAAGykG,GAAG,CAAC,OAAO,CAAC,MAAM,CAAC,EAAE,QAAQvkG,CAAC,CAAC,CAAC,EAAE4C,EAAE9C,EAAE,IAAI,GAAG6lG,GAAG,CAAC,OAAO,CAAC,MAAM,CAAC,EAAE,QAAQ3lG,CAAC,CAAC,CAAC,EAAE6C,EAAEgjG,GAAGljG,EAAE,EAAE3C,CAAC,EAAE8C,EAAE+iG,GAAGjjG,EAAE,EAAE5C,CAAC,EAAEgE,EAAEg5F,GAAG,CAAC,OAAO,CAAC,KAAKn6F,EAAE,KAAKC,CAAC,EAAE,QAAQ9C,CAAC,CAAC,EAAE,OAAO2C,EAAE,QAAQ,GAAG3C,EAAE,8BAA8B,CAAC,CAAC,EAAE4C,EAAE,QAAQ,GAAG5C,EAAE,8BAA8B,CAAC,CAAC,EAAEA,EAAE,8BAA8B6C,CAAC,EAAE7C,EAAE,8BAA8B8C,CAAC,EAAEkB,CAAC,CAAC,IAAI3D,EAAEL,EAAE,mBAAmBF,CAAC,EAAE,GAAGM,IAAI,WAAWC,EAAE,IAAIA,EAAE,CAAC,IAAIsC,EAAE7C,EAAE,IAAI+E,GAAG,CAAC,IAAIJ,EAAEkiB,EAAE,cAAc9hB,EAAE,MAAM,MAAM,CAAC,CAAC,EAAE,OAAOw5F,GAAG,CAAC,OAAO,CAAC,EAAEx5F,CAAC,EAAE,QAAQ7E,EAAE,MAAM,CAAC,MAAM,CAAC,GAAGyE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE7B,EAAED,EAAE,IAAIkC,IAAI,CAAC,KAAK7E,EAAE,SAAS6E,EAAE,MAAM,EAAE,MAAMA,EAAE,KAAK,EAAE,EAAEhC,EAAEs3C,EAAE,gBAAgBx3C,EAAE,IAAIkC,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAE/B,EAAEH,EAAE,GAAG,MAAM,KAAK,EAAEqB,EAAEuzF,GAAG30F,EAAEC,EAAEzC,EAAE0C,CAAC,EAAE,EAAEq3C,EAAE,gBAAgBr6C,EAAE,IAAI+E,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAEwC,EAAErH,EAAE,eAAe,EAAEI,EAAE4D,CAAC,EAAE,OAAOrB,EAAE,QAAQkC,GAAG7E,EAAE,8BAA8B6E,CAAC,CAAC,EAAEwC,CAAC,CAAC,IAAI,EAAEkT,EAAE,EAAE,UAAU,8BAA8B,EAAE,GAAGza,EAAE,OAAO,EAAE,CAAC,IAAI6C,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAE/C,EAAE,OAAO+C,GAAG,EAAE,CAAC,IAAIC,EAAEhD,EAAE,MAAM+C,EAAEA,EAAE,CAAC,EAAEF,EAAE,KAAKkjG,GAAG/iG,EAAE,EAAE9C,CAAC,CAAC,CAAC,CAAC,IAAI4C,EAAEijG,GAAGljG,EAAE,EAAE3C,CAAC,EAAE,QAAQ6C,KAAKF,EAAE3C,EAAE,8BAA8B6C,CAAC,EAAE,OAAOD,CAAC,CAAC,GAAG2X,EAAE,EAAE,QAAQ,6BAA6B,GAAGza,EAAE,GAAG,MAAM,OAAO,EAAE,CAAC,IAAI6C,EAAE,IAAI8iG,GAAG3lG,EAAE,IAAI8C,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAE,OAAO5C,EAAE,gBAAgB2C,EAAE7C,EAAEM,CAAC,CAAC,CAAC,GAAG,CAAC,UAAU,EAAE,SAAS2B,CAAC,EAAE+jG,GAAIhmG,EAAE,EAAEE,CAAC,EAAEgC,EAAE,IAAIwjG,GAAG,EAAE,IAAI7iG,GAAGA,EAAE,KAAK,CAAC,EAAEV,EAAEjC,EAAE,gBAAgBgC,EAAE,EAAE5B,CAAC,EAAE,EAAE,QAAQuC,GAAG3C,EAAE,8BAA8B2C,CAAC,CAAC,EAAE,IAAID,EAAE27F,GAAG,CAAC,OAAO,CAAC,EAAEp8F,CAAC,EAAE,MAAM,CAAC,MAAMF,CAAC,EAAE,QAAQ/B,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BiC,CAAC,EAAES,CAAC,CAAC,SAASojG,GAAIhmG,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE+5C,EAAE,gBAAgBr6C,EAAE,IAAI+B,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAE,MAAM,CAAC,UAAU/B,EAAE,IAAI+B,GAAGw8F,GAAG,CAAC,OAAO,CAAC,EAAEx8F,CAAC,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG8kB,EAAE,cAAc9kB,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC,CAAC,EAAE,QAAQ7B,CAAC,CAAC,CAAC,EAAE,SAASI,CAAC,CAAC,CAAC,SAAS2lG,GAAGjmG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,KAAKO,CAAC,EAAED,EAAE,EAAEumB,EAAE,eAAetmB,EAAE,EAAE,GAAG,KAAK,EAAE,GAAG,EAAE,EAAE,IAAI4B,GAAGA,EAAE,KAAK,EAAEk4C,EAAE,uBAAuB,EAAE,CAAC,EAAE,IAAIp4C,EAAEo4C,EAAE,gBAAgB,EAAE,IAAIl4C,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAE,GAAG0kB,EAAE,cAAc5kB,CAAC,IAAI,EAAE,OAAO/B,EAAE,eAAe+B,EAAE,EAAE,GAAG,MAAM,CAAC,CAAC,EAAE,IAAIC,EAAE,EAAE,OAAOC,GAAG0kB,EAAE,cAAc1kB,EAAE,KAAK,EAAE,CAAC,EAAE,OAAOD,EAAE,SAAS,EAAE86F,GAAG,CAAC,OAAO,CAAC,EAAE96F,EAAE,EAAE,EAAE,QAAQhC,CAAC,CAAC,EAAE6lG,GAAG7jG,EAAE,EAAEhC,CAAC,CAAC,CAAC,IAAIgmG,GAAG,CAAC,WAAWppF,GAAG,YAAY,QAAQ,WAAWmpF,EAAE,EAAME,GAAG,KAAK,CAAC,YAAYrlG,EAAEZ,EAAE,GAAG,EAAE,KAAKK,EAAE,GAAGwB,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,YAAYjB,EAAE,SAAS,IAAIkB,EAAElB,EAAE,QAAQ,IAAImB,EAAEnB,EAAE,QAAQ,KAAKoB,EAAEpB,EAAE,aAAa,EAAEA,EAAE,YAAY8B,EAAE9B,EAAE,eAAe,EAAEA,EAAE,cAAcgC,EAAEhC,EAAE,aAAaiC,EAAEjC,EAAE,YAAYkC,EAAE,KAAK,MAAMlC,EAAE,WAAW,CAAC,EAAE,EAAEoD,EAAEpD,EAAE,WAAW,EAAEqD,EAAErD,EAAE,aAAa,eAAeyG,EAAEpD,EAAE,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEQ,EAAER,EAAE,EAAE,EAAES,EAAE,GAAGC,EAAE,GAAG,IAAItE,EAAEqE,EAAE;AAAA;AAAA,YAE7mF;AAAA,WACD7C,EAAE6C,EAAE;AAAA;AAAA,YAEH;AAAA,WACDA,EAAE;AAAA;AAAA,cAEC;AAAA;AAAA,UAEJC,EAAE,gCAAgC,IAAIC,EAAE5E,EAAE,kCAAkC,GAAGA,GAAG,KAAK,cAAc,KAAK,MAAM,EAAEK,GAAG,KAAK,cAAc,KAAK,wBAAwB,EAAEwB,GAAG,KAAK,cAAc,KAAK,gBAAgB,EAAE,KAAK,SAAS;AAAA,QACpO6C;AAAA;AAAA,oCAE4B1C,MAAM;AAAA,iCACTF,MAAMC;AAAA;AAAA;AAAA;AAAA;AAAA,0BAKb0C;AAAA;AAAA;AAAA,2BAGC4C,cAAc;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAOTzE;AAAA,qCACKF;AAAA;AAAA,gCAEL9B,EAAE;AAAA;AAAA;AAAA;AAAA,kCAIAiC;AAAA,uCACK;AAAA;AAAA,kCAELjC,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAkC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oBAQhBmB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kBAmBFD,IAAI;AAAA;AAAA,oBAEFC;AAAA;AAAA,0CAEsBnB;AAAA,mCACPA;AAAA;AAAA;AAAA,kCAGDA;AAAA,mCACCA;AAAA;AAAA;AAAA,yBAGVkB,IAAI;AAAA;AAAA,+BAEElB;AAAA,+BACAA;AAAA;AAAA;AAAA,oBAGXmB;AAAA;AAAA,wCAEoBnB;AAAA,wCACAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAKRA;AAAA,gCACAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAKPkB,IAAI;AAAA;AAAA,+BAEElB;AAAA,+BACAA;AAAA,+BACAA;AAAA;AAAA;AAAA,oBAGXmB;AAAA;AAAA,wCAEoBnB;AAAA,wCACAA;AAAA,wCACAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAKRA;AAAA,gCACAA;AAAA,gCACAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAUtB8B;AAAA,UACAD;AAAA;AAAA;AAAA,KAGL,CAAC,EAAEuhG,GAAG,KAAK,CAAC,YAAYtlG,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,YAAYA,EAAE,SAAS,IAAIZ,EAAEY,EAAE,QAAQ,MAAM,EAAEA,EAAE,QAAQ,IAAIP,EAAEO,EAAE,QAAQ,KAAKiB,EAAEjB,EAAE,YAAYkB,EAAElB,EAAE,aAAamB,EAAEnB,EAAE,YAAYoB,EAAEpB,EAAE,cAAc,EAAEA,EAAE,eAAe8B,EAAE9B,EAAE,cAAc,EAAEA,EAAE,YAAYgC,EAAEhC,EAAE,aAAaiC,EAAEjC,EAAE,YAAYkC,EAAE,KAAK,MAAMlC,EAAE,WAAW,CAAC,EAAE,EAAEoD,EAAEpD,EAAE,WAAW,EAAE,KAAK,SAAS;AAAA,oCACnUiB,MAAMC,MAAMC;AAAA,iCACf/B,MAAM,MAAMK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAgBb;AAAA,qCACK2B;AAAA;AAAA,gCAELpB,EAAE;AAAA;AAAA;AAAA;AAAA,kCAIAgC;AAAA,uCACK;AAAA;AAAA,kCAELhC,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAiC;AAAA,yCACKH;AAAA;AAAA,oCAEL9B,EAAE;AAAA;AAAA;AAAA;AAAA,sCAIAkC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oBAiBlBkB,IAAI;AAAA;AAAA,4CAEoBlB;AAAA,qCACPA;AAAA,2BACVkB,IAAI;AAAA;AAAA,4CAEalB;AAAA,4CACAA;AAAA;AAAA;AAAA,qCAGPA;AAAA,qCACAA;AAAA;AAAA;AAAA,2BAGVkB,IAAI;AAAA;AAAA,4CAEalB;AAAA,4CACAA;AAAA,4CACAA;AAAA;AAAA;AAAA,qCAGPA;AAAA,qCACAA;AAAA,qCACAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAShC,CAAC,EAAMqjG,GAAG,KAAK,CAAC,YAAYvlG,EAAEZ,EAAE,GAAG,EAAE,KAAKK,EAAE,GAAGwB,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,eAAe,CAAC,CAAC,KAAK,OAAO,KAAK,OAAO,EAAE,CAAC,KAAK,UAAU,KAAK,OAAO,EAAE,CAAC,KAAK,YAAY,KAAK,OAAO,EAAE,CAAC,KAAK,SAAS,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYjB,EAAE,SAAS,KAAK,oBAAoBs0F,GAAG,KAAK,YAAY,MAAM,EAAE,IAAIpzF,EAAElB,EAAE,QAAQ,KAAKmB,EAAEnB,EAAE,YAAYoB,EAAEpB,EAAE,cAAc,EAAEA,EAAE,aAAa8B,EAAE9B,EAAE,YAAY,EAAE8B,EAAEE,EAAE;AAAA;AAAA,gDAE5Y,QAAQqB,EAAE,EAAEA,EAAEvB,EAAEuB,IAAIrB,GAAG;AAAA,yBAC9CqB,EAAE;AAAA,wBACHA,EAAE;AAAA,yBACDA,EAAE,EAAE;AAAA,wBACLA,EAAE,EAAE;AAAA,oBACRA,KAAKrB,GAAG;AAAA,2BACD;AAAA,8BACGhC,EAAE;AAAA,SACvB,QAAQqD,EAAE,EAAEA,EAAEvB,EAAEuB,IAAIrB,GAAG;AAAA,oBACZqB,EAAE;AAAA,oBACFA,EAAE;AAAA,oBACFA,EAAE,EAAE;AAAA,oBACJA,EAAE,EAAE;AAAA,eACTA,iBAAiBrB,GAAG;AAAA;AAAA;AAAA,SAG1B,QAAQqB,EAAE,EAAEA,GAAG,EAAE,GAAG,EAAEA,IAAI,CAAC,IAAIoD,EAAEpD,EAAE,EAAE,GAAGrB,GAAG;AAAA,6BACvByE,EAAErF;AAAA,aAClBD,IAAI,GAAG,GAAGsF,EAAE3E,IAAIZ,EAAE,IAAI,GAAGc,GAAG;AAAA;AAAA,uEAE8ByE;AAAA,4BAC3CA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAKEA;AAAA;AAAA,4BAEFA;AAAA;AAAA,iBAEXrF,IAAI,GAAGqF,EAAE,EAAEzE,GAAG;AAAA,qBACVyE,mBAAmBA,EAAE,gBAAgBA;AAAA,mBACvCzE,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAYGyE,gCAAgCA;AAAA;AAAA,yBAEhCA,6BAA6BA;AAAA;AAAA,sBAEhCzE,GAAG;AAAA,2DACkCyE;AAAA,4BAC/BA;AAAA;AAAA,8BAEEA;AAAA;AAAA,4BAEFA;AAAA;AAAA;AAAA,qBAGPA,cAAcA;AAAA,mBAChBA,EAAE,EAAE3E,GAAG,CAAC,IAAI,EAAEZ,EAAE,IAAI,EAAE6kB,EAAE,kBAAkB3kB,CAAC,EAAEA,EAAEA,EAAE,IAAI,GAAGF,EAAE,IAAI,GAAGE,EAAE,IAAI,GAAGF,EAAE,IAAI,GAAGc,GAAG;AAAA,wDACjD;AAAA;AAAA,yEAEiByE,EAAE;AAAA,8BAC7CA,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,gCAKAA,EAAE;AAAA;AAAA,8BAEJA,EAAE;AAAA;AAAA,qBAEXrF,EAAE,EAAEY,GAAG;AAAA;AAAA;AAAA;AAAA,0BAIFyE,EAAE,gCAAgCA,EAAE;AAAA;AAAA,0BAEpCA,EAAE,6BAA6BA,EAAE;AAAA;AAAA,uBAEpCzE,GAAG;AAAA,yBACDyE,EAAE,mBAAmBA,gBAAgBA,EAAE;AAAA,wBACxC,IAAI,EAAEzE,GAAG;AAAA,yBACRyE,EAAE,cAAcA;AAAA,uBAClBzE,GAAG;AAAA,uCACa;AAAA;AAAA,2EAEoCyE,EAAE;AAAA,gCAC7CA,EAAE;AAAA;AAAA,kCAEAA,EAAE;AAAA;AAAA,gCAEJA,EAAE;AAAA;AAAA;AAAA,yBAGTA,EAAE,cAAcA,EAAE;AAAA,sBACrB,OAAOA,EAAE3E,IAAIZ,EAAE,IAAI,GAAGc,GAAG;AAAA;AAAA,sEAEuByE;AAAA,4BAC1CA;AAAA;AAAA;AAAA;AAAA,8BAIEA;AAAA;AAAA,4BAEFA;AAAA;AAAA;AAAA,kEAGsCA,EAAE;AAAA,4BACxCA,EAAE;AAAA;AAAA;AAAA;AAAA,8BAIAA,EAAE;AAAA;AAAA,4BAEJA,EAAE;AAAA;AAAA;AAAA,qBAGTA,mBAAmBA,gBAAgBA,EAAE;AAAA,iBACzCA,EAAE,EAAE3E,IAAIE,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,uBAMLyE,EAAE,mBAAmBA,EAAE;AAAA,sBACxBzE,GAAG;AAAA,0DACiCyE;AAAA,4BAC9BA;AAAA;AAAA,8BAEEA;AAAA;AAAA,4BAEFA;AAAA;AAAA;AAAA;AAAA,sEAI0CA,EAAE;AAAA,4BAC5CA,EAAE;AAAA;AAAA,8BAEAA,EAAE;AAAA;AAAA,4BAEJA,EAAE;AAAA;AAAA;AAAA,qBAGTA;AAAA,4BACOA,gBAAgBA,EAAE;AAAA,iBAC7BA,EAAE,EAAE3E,IAAIE,GAAG;AAAA,uBACLyE,EAAE,mBAAmBA,gBAAgBA,EAAE;AAAA,sBACxCA,EAAE3E,IAAIE,GAAG;AAAA,gCACCyE;AAAA,4BACJA;AAAA,2BACDzG,EAAE;AAAA,8BACCyG;AAAA;AAAA,aAEjBA,EAAE,EAAE3E,IAAIE,GAAG;AAAA,kCACUyE,EAAE;AAAA,8BACNA,EAAE;AAAA,6BACHzG,EAAE;AAAA,gCACCyG,EAAE;AAAA;AAAA,gBAElB,CAACzE,GAAG;AAAA;AAAA,KAEfA,GAAG;AAAA;AAAA,KAEHA,GAAG;AAAA;AAAA,KAEH,IAAIC,EAAE,GAAGC,EAAE,GAAG,IAAIzC,EAAEwC,EAAE;AAAA;AAAA,aAEd;AAAA,YACDhB,EAAEgB,EAAE;AAAA;AAAA,aAEH;AAAA,YACDA,EAAE;AAAA,aACD;AAAA,YACDC,EAAE,gCAAgC,IAAIkB,EAAEhE,EAAE,kCAAkC,GAAGA,GAAG,KAAK,cAAc,KAAK,MAAM,EAAEK,GAAG,KAAK,cAAc,KAAK,wBAAwB,EAAEwB,GAAG,KAAK,cAAc,KAAK,gBAAgB,EAAE,KAAK,SAAS;AAAA,SACrOgB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,WAaED;AAAA;AAAA;AAAA,WAGAoB;AAAA,WACAlB;AAAA;AAAA;AAAA,MAGL,CAAC,EAAMsjG,GAAG,KAAK,CAAC,YAAYxlG,EAAEZ,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,eAAe,CAAC,CAAC,KAAK,aAAa,KAAK,OAAO,EAAE,CAAC,KAAK,MAAM,KAAK,OAAO,EAAE,CAAC,KAAK,SAAS,KAAK,OAAO,EAAE,CAAC,KAAK,WAAW,KAAK,OAAO,EAAE,CAAC,KAAK,aAAa,KAAK,KAAK,EAAE,CAAC,KAAK,mBAAmB,KAAK,KAAK,EAAE,CAAC,KAAK,WAAW,KAAK,KAAK,CAAC,EAAE,KAAK,YAAYY,EAAE,KAAK,oBAAoBs0F,GAAG,KAAK,YAAY,MAAM,EAAE,GAAG,CAAC,WAAW,CAAC,EAAEl1F,EAAEK,EAAEkxF,GAAG,EAAE1vF,EAAE,IAAI,eAAeC,EAAED,EAAE,EAAE,EAAEE,EAAEF,EAAE,EAAE,EAAEG,EAAE,KAAK,oBAAoB,sDAAsD,mBAAmBpB,EAAE,eAAeA,EAAE,QAAQ,EAAE,GAAG,QAAQ8B,EAAE,EAAEA,GAAG,EAAEA,IAAI,QAAQ,EAAE,EAAE,GAAG,EAAE,IAAI,GAAG;AAAA,gCACjnB;AAAA,yBACPA;AAAA;AAAA,YAEbV;AAAA;AAAA;AAAA;AAAA,iCAIqBF;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCAQEC;AAAA;AAAA;AAAA;AAAA,sBAIbF;AAAA;AAAA,2BAEKa,EAAE,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,2BAKJA,EAAE,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAOrB,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UASd;AAAA;AAAA,UAEArC,EAAE;AAAA;AAAA,KAEP,CAAC,EAAE,SAASgmG,GAAGvmG,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,OAAO,OAAOE,GAAG,EAAE,EAAE,CAAC,GAAGF,EAAE,MAAM,EAAE,EAAE,EAAEA,EAAEE,EAAE,GAAGF,EAAEE,EAAE,GAAGF,EAAEE,EAAE,EAAE,EAAE,CAAC,GAAGF,EAAE,MAAM,EAAE,EAAE,EAAEA,EAAEE,EAAE,GAAGF,EAAEE,EAAE,GAAGF,EAAEE,EAAE,EAAE,EAAE,CAAC,GAAGA,IAAI,GAAGF,EAAE,GAAG,EAAE,CAACA,EAAE,GAAG,CAAC,EAAE,IAAI,CAAC,SAASwmG,GAAG,CAAC,EAAExmG,EAAE,OAAO,EAAE,SAASE,EAAE,QAAQI,EAAE,KAAKC,EAAE,KAAK,uBAAuB,EAAE,KAAK,eAAe,EAAE,EAAE,WAAW0B,EAAE,IAAI,EAAE,CAAC,IAAIC,EAAElC,EAAE,MAAMmC,EAAE7B,EAAE,QAAQ,IAAIN,EAAE,MAAM,EAAE4C,EAAE1C,EAAE,WAAW2C,EAAEX,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAGY,EAAE5C,EAAE,YAAY6C,EAAE7C,EAAE,aAAa,eAAe8C,EAAE,GAAGkB,EAAE,GAAG,EAAEqD,EAAE,CAAC,EAAE,GAAG,GAAG,KAAK,CAAC,IAAI3C,EAAE2hG,GAAG,EAAE,MAAMxjG,CAAC,EAAE6B,GAAG,OAAO,EAAE25F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQj+F,EAAE,MAAM,CAAC,MAAMsE,CAAC,CAAC,CAAC,EAAE2C,EAAE,KAAK,CAAC,EAAE,CAAC,GAAGhH,GAAG,KAAK,CAAC,IAAIqE,EAAE2hG,GAAGhmG,EAAE,MAAMwC,CAAC,EAAE6B,GAAG,OAAOrE,EAAEg+F,GAAG,CAAC,OAAO,CAAC,EAAEh+F,CAAC,EAAE,QAAQD,EAAE,MAAM,CAAC,MAAMsE,CAAC,CAAC,CAAC,EAAE2C,EAAE,KAAKhH,CAAC,EAAE,CAAC,GAAG,GAAGsC,IAAI,GAAGC,IAAI,IAAIF,EAAE08F,KAAKn9F,EAAE,UAAUY,GAAGZ,EAAE,SAAS,MAAMD,EAAE,GAAG,IAAI,GAAG2kB,EAAE,YAAY1kB,EAAE,MAAM,MAAM,EAAE,EAAED,EAAE,MAAM,EAAE,CAAC,EAAE,CAAC,IAAI0C,EAAE1C,EAAE,GAAGA,EAAE,IAAIA,EAAE,GAAG,GAAG2C,EAAE,CAAC,OAAO7E,EAAE,OAAO,MAAM,CAAC,EAAE4E,EAAE1E,EAAE,UAAU,EAAE,MAAMF,EAAE,KAAK,EAAE8E,EAAE3C,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,MAAM,EAAEA,EAAE,MAAMA,EAAE,MAAM,OAAO,KAAK0kB,EAAE,OAAOqoE,GAAG/sF,EAAE,MAAM0C,EAAE,KAAK,EAAE,IAAI,kBAAkB1C,EAAE,YAAY0C,EAAE,kBAAkB,EAAE,IAAI2C,EAAE+2F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQj+F,EAAE,MAAM,CAAC,MAAM,CAAC,EAAEJ,EAAE,WAAWA,EAAE,WAAW,CAAC,CAAC,CAAC,EAAEqH,EAAE,KAAKC,CAAC,EAAE,IAAIxC,EAAEu6F,GAAG,CAAC,EAAE16F,EAAE,EAAE2C,EAAE,QAAQlH,EAAE,WAAW0C,EAAE,WAAWkB,EAAE,KAAK3D,EAAE,WAAW0B,EAAE,uBAAuB,EAAE,eAAe,CAAC,CAAC,EAAEwF,EAAEnH,EAAE,QAAQ,IAAI0E,EAAE,MAAM,EAAE6hB,EAAE,OAAOpf,EAAE,SAAS,IAAI,6CAA6C,EAAEtF,EAAE,MAAM2C,EAAE2C,EAAE,MAAMvH,EAAE,SAAS,EAAE88F,GAAG,CAAC,OAAO,CAAC,EAAEh4F,CAAC,EAAE,QAAQ1E,CAAC,CAAC,EAAE,EAAE,MAAMJ,EAAE,SAASqH,EAAE,KAAKvC,CAAC,CAAC,KAAK,CAAC,IAAIJ,EAAE1E,EAAE,UAAUA,EAAE,SAAS2E,EAAE05F,GAAG,CAAC,OAAO,CAAC,EAAEv+F,CAAC,EAAE,QAAQM,EAAE,MAAM,CAAC,MAAMyC,EAAE,CAAC7C,EAAE,UAAU0E,EAAE1E,EAAE,UAAU,EAAE,CAACA,EAAE,UAAUA,EAAE,WAAW0E,CAAC,CAAC,CAAC,CAAC,EAAEE,EAAEy5F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQj+F,EAAE,MAAM,CAAC,MAAM,CAAC,EAAEJ,EAAE,WAAWA,EAAE,WAAW,CAAC,CAAC,CAAC,EAAEsH,EAAE+3F,GAAG,CAAC,EAAEx8F,EAAE8B,EAAEC,EAAE,EAAE/B,EAAE+B,EAAED,EAAE,WAAW,CAAC9B,EAAE,WAAWmB,EAAE,QAAQ5D,EAAE,KAAKC,EAAE,WAAW0B,EAAE,uBAAuB,EAAE,eAAe,CAAC,CAAC,EAAE,EAAEs8F,GAAG,CAAC,OAAO,CAAC,EAAE/2F,CAAC,EAAE,QAAQlH,EAAE,MAAM,CAAC,MAAMJ,EAAE,QAAQ,CAAC,CAAC,EAAEqH,EAAE,KAAK1C,CAAC,EAAE0C,EAAE,KAAKzC,CAAC,EAAEyC,EAAE,KAAKC,CAAC,CAAC,CAAC,QAAQ5C,KAAK2C,EAAEjH,EAAE,8BAA8BsE,CAAC,EAAE,OAAO,CAAC,CAAC,SAAS6hG,GAAG,CAAC,EAAEzmG,EAAE,OAAO,EAAE,SAASE,EAAE,QAAQI,EAAE,KAAKC,EAAE,KAAK,uBAAuB,EAAE,KAAK,eAAe,EAAE,EAAE,WAAW0B,EAAE,IAAI,EAAE,CAAC,GAAG,CAAC,YAAYC,EAAE,aAAaC,EAAE,WAAWS,EAAE,SAASC,EAAE,UAAUC,EAAE,WAAWC,CAAC,EAAE7C,EAAE8C,EAAED,IAAI,eAAemB,EAAEhC,EAAEC,EAAES,EAAE,EAAEE,EAAED,EAAE0E,EAAE,CAACrH,EAAE,UAAUgE,EAAE,CAAC,EAAEa,EAAE,GAAGJ,EAAE,GAAGC,EAAE,CAAC,EAAE,GAAG,GAAG,KAAK,CAAC,IAAIsD,EAAEq+F,GAAG,EAAE,MAAMvjG,CAAC,EAAEkF,GAAG,OAAO,EAAEq2F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQj+F,EAAE,MAAM,CAAC,MAAM4H,CAAC,CAAC,CAAC,EAAEtD,EAAE,KAAK,CAAC,EAAE,CAAC,GAAGrE,GAAG,KAAK,CAAC,IAAI2H,EAAEq+F,GAAGhmG,EAAE,MAAMyC,CAAC,EAAEkF,GAAG,OAAO3H,EAAEg+F,GAAG,CAAC,OAAO,CAAC,EAAEh+F,CAAC,EAAE,QAAQD,EAAE,MAAM,CAAC,MAAM4H,CAAC,CAAC,CAAC,EAAEtD,EAAE,KAAKrE,CAAC,EAAE,CAAC,IAAIsE,EAAE05F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQj+F,EAAE,MAAM,CAAC,MAAM,CAAC,EAAE4D,EAAE2iB,EAAE,cAAc,EAAE,KAAK,EAAE3iB,CAAC,CAAC,CAAC,CAAC,EAAEU,EAAE,KAAKC,CAAC,EAAE,IAAIC,EAAE,IAAIwhG,GAAG/+F,EAAErH,CAAC,EAAEsH,EAAE,CAACxH,EAAE,MAAM,CAACE,EAAE,QAAQ,IAAIA,EAAE,QAAQ,IAAI,EAAE,CAACA,EAAE,aAAaA,EAAE,WAAW,EAAE,CAACA,EAAE,eAAeA,EAAE,aAAa,EAAE,CAACA,EAAE,UAAU,EAAE,CAACA,EAAE,YAAYA,EAAE,UAAU,EAAE,CAACA,EAAE,QAAQ,CAAC,EAAE8E,EAAE1E,EAAE,gBAAgBwE,EAAE,CAAC9E,CAAC,EAAE,UAAUwH,CAAC,EAAEC,EAAE82F,GAAG,CAAC,OAAO,CAAC,EAAEv5F,CAAC,EAAE,QAAQ1E,EAAE,MAAM,CAAC,MAAMiH,CAAC,CAAC,CAAC,EAAE3C,EAAE,KAAKI,CAAC,EAAEJ,EAAE,KAAK6C,CAAC,EAAE,IAAIxC,EAAE1E,GAAG,KAAK2E,EAAE,GAAG,KAAKC,EAAElD,IAAI,YAAYmD,EAAEnD,EAAE87F,GAAG97F,EAAE,EAAE,EAAE,KAAKoD,EAAE,IAAI24F,GAAGh7F,EAAEyE,EAAE,MAAM5C,EAAE,MAAM7B,EAAE6B,EAAE,MAAM4C,EAAE,MAAMzE,EAAE,CAAC9C,EAAE,UAAU,EAAEA,EAAE,WAAW,EAAE,CAACA,EAAE,UAAUA,EAAE,YAAY,CAAC,EAAE6E,EAAEJ,EAAEM,EAAEG,EAAEF,EAAEC,CAAC,EAAEG,EAAEtC,EAAE,CAACyE,EAAE5C,CAAC,EAAE,CAACA,EAAE4C,CAAC,EAAE,GAAGlH,GAAG+E,EAAE,KAAK/E,CAAC,EAAE2E,GAAGI,EAAE,KAAK,CAAC,EAAEH,EAAE,CAAC,IAAI+C,EAAE5H,EAAE,eAAe,CAAC,EAAE,UAAUumB,EAAE,kBAAkB,EAAE,SAAS,CAAC,EAAEvhB,EAAE,KAAK4C,CAAC,EAAEtD,EAAE,KAAKsD,CAAC,CAAC,CAAC,IAAID,EAAE3H,EAAE,gBAAgB+E,EAAEC,EAAE,SAAS,EAAEqC,EAAE42F,GAAG,CAAC,OAAO,CAAC,EAAEt2F,CAAC,EAAE,QAAQ3H,EAAE,MAAM,CAAC,MAAMJ,EAAE,QAAQ,CAAC,CAAC,EAAE0E,EAAE,KAAKqD,CAAC,EAAE,QAAQC,KAAKtD,EAAEtE,EAAE,8BAA8B4H,CAAC,EAAE,OAAOP,CAAC,CAAC,SAAS++F,GAAI1mG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,WAAWC,EAAE,UAAUC,EAAE,gBAAgBS,CAAC,EAAEtC,EAAEuC,EAAEw3C,EAAE,wBAAwBn4C,CAAC,EAAEY,EAAEu3C,EAAE,kBAAkB95C,EAAE,MAAM,EAAE,MAAM,EAAE4B,EAAEF,EAAEW,EAAE,GAAGC,CAAC,EAAEE,EAAE,GAAGD,EAAE,eAAe,GAAGA,EAAE,cAAc,GAAGA,EAAE,iBAAiB,GAAGA,EAAE,gBAAgB,GAAGA,EAAE,eAAe,GAAGA,EAAE,cAAc,IAAIA,EAAE,QAAQ,OAAO,QAAQA,EAAE,QAAQ,OAAO,SAASC,EAAEyjG,GAAG,CAAC,EAAEjmG,EAAE,OAAO,EAAE,SAASuC,EAAE,QAAQ5C,CAAC,CAAC,UAAU4C,EAAE,aAAa,GAAGD,IAAI,gBAAgB4X,EAAE,EAAE,QAAQ,gBAAgB,EAAE,CAAC,IAAIvW,EAAE,IAAImiG,GAAGvjG,CAAC,EAAE,EAAE,CAAC,CAACA,EAAE,QAAQ,IAAIA,EAAE,QAAQ,IAAI,EAAE,CAACA,EAAE,aAAaA,EAAE,WAAW,EAAE,CAACA,EAAE,eAAeA,EAAE,aAAa,EAAE,CAACA,EAAE,SAASA,EAAE,OAAO,CAAC,EAAEC,EAAE7C,EAAE,gBAAgBgE,EAAE,CAAC3D,EAAE,CAAC,EAAE,UAAU,CAAC,CAAC,SAASka,EAAE,EAAE,QAAQ,mBAAmB,EAAE1X,EAAE0jG,GAAG,CAAC,EAAElmG,EAAE,OAAO,EAAE,SAASuC,EAAE,QAAQ5C,CAAC,CAAC,MAAM,CAAC,IAAIgE,EAAE,IAAIiiG,GAAGrjG,CAAC,EAAEC,EAAE7C,EAAE,gBAAgBgE,EAAE,CAAC3D,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIyC,EAAEu7F,GAAG,CAAC,OAAO,CAAC,EAAEx7F,CAAC,EAAE,QAAQ7C,EAAE,MAAM,CAAC,MAAM4C,EAAE,QAAQ,CAAC,CAAC,EAAE,OAAO5C,EAAE,8BAA8B6C,CAAC,EAAEC,CAAC,CAAC,IAAI2jG,GAAG,CAAC,WAAW5pF,GAAG,YAAY,QAAQ,WAAW2pF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAY9lG,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,IAAI,EAAE,KAAK,YAAYA,EAAE,YAAY,IAAIZ,EAAEY,EAAE,aAAa,EAAEA,EAAE,YAAYP,EAAEO,EAAE,QAAQ,IAAIiB,EAAEjB,EAAE,QAAQ,KAAKkB,EAAElB,EAAE,aAAa,eAAe,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAYzxIA,EAAE;AAAA,kCACEA,EAAE;AAAA,iCACHZ,OAAOK;AAAA;AAAA,kCAENO,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAA,EAAE;AAAA,mCACH,OAAOiB;AAAA;AAAA,oCAENjB,EAAE;AAAA;AAAA;AAAA;AAAA,oBAIlBkB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAef,CAAC,EAAE6kG,GAAG,KAAK,CAAC,YAAY/lG,EAAE,CAAC,KAAK,cAAc,CAAC,KAAK,GAAG,EAAE,KAAK,YAAYA,EAAE,QAAQ,IAAIZ,EAAEY,EAAE,aAAa,EAAEA,EAAE,YAAYP,EAAEO,EAAE,aAAaiB,EAAEjB,EAAE,YAAYkB,EAAElB,EAAE,aAAa,eAAemB,EAAE/B,EAAE,EAAEY,EAAE,QAAQ,IAAIoB,EAAE,EAAE,EAAEpB,EAAE,QAAQ,KAAK,EAAEkB,EAAE,EAAE,EAAEY,EAAEZ,EAAE,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAE,KAAK,SAAS;AAAA,iCAC7OC,MAAMC;AAAA;AAAA;AAAA;AAAA;AAAA,0BAKb;AAAA;AAAA,wCAEc,cAAcU;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAOtB1C;AAAA,gDACgBK;AAAA;AAAA,oCAEZO,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,yBAKbZ;AAAA;AAAA,kCAES;AAAA,kDACgB6B;AAAA;AAAA,sCAEZjB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAMb;AAAA;AAAA,oCAESA,EAAE;AAAA;AAAA,oBAElBkB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAef,CAAC,EAAE8kG,GAAG,KAAK,CAAC,YAAYhmG,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,IAAI,EAAE,KAAK,YAAYA,EAAE,YAAY,IAAIZ,EAAEY,EAAE,YAAY,EAAEA,EAAE,aAAaP,EAAEO,EAAE,YAAYiB,EAAEjB,EAAE,QAAQ,MAAMkB,EAAElB,EAAE,QAAQ,IAAImB,EAAEnB,EAAE,QAAQ,KAAK,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAWrLA,EAAE;AAAA,kCACEA,EAAE;AAAA,iCACHZ,OAAO6B;AAAA;AAAA,kCAENjB,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAA,EAAE;AAAA,mCACH,OAAOkB;AAAA;AAAA,oCAENlB,EAAE;AAAA;AAAA;AAAA;AAAA,sCAIAA,EAAE;AAAA,qCACHP,OAAO0B;AAAA;AAAA,sCAENnB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAanC,CAAC,EAAEimG,GAAG,KAAK,CAAC,YAAYjmG,EAAE,CAAC,KAAK,cAAc,CAAC,KAAK,GAAG,EAAE,KAAK,YAAYA,EAAE,QAAQ,IAAIZ,EAAEY,EAAE,YAAY,EAAEA,EAAE,aAAaP,EAAEO,EAAE,YAAYiB,EAAEjB,EAAE,YAAYkB,EAAElB,EAAE,aAAamB,EAAEnB,EAAE,YAAYoB,EAAEhC,EAAE,EAAEY,EAAE,QAAQ,MAAM,EAAE,EAAE,EAAEA,EAAE,QAAQ,IAAI8B,EAAErC,EAAE,EAAEO,EAAE,QAAQ,KAAK,KAAK,SAAS;AAAA,iCAC3OoB,MAAM,MAAMU;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAcb1C;AAAA,gDACgB6B;AAAA;AAAA,oCAEZjB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,yBAKbZ;AAAA;AAAA,kCAES;AAAA,kDACgB8B;AAAA;AAAA,sCAEZlB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAMb;AAAA;AAAA,oCAESP;AAAA,oDACgB0B;AAAA;AAAA,wCAEZnB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,6BAMbP;AAAA;AAAA,sCAESO,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAUnC,CAAC,EAAE,SAASkmG,GAAIhnG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,WAAWC,EAAE,gBAAgBC,EAAE,YAAYS,CAAC,EAAEtC,EAAEuC,EAAEw3C,EAAE,wBAAwBn4C,CAAC,EAAEY,EAAEu3C,EAAE,kBAAkB95C,EAAE,MAAMqC,EAAE,EAAE,EAAEX,EAAEE,EAAE,GAAGU,CAAC,EAAEE,EAAE,IAAI6jG,GAAG9jG,CAAC,EAAE,OAAO5C,EAAE,gBAAgB6C,EAAE,CAACxC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAI0mG,GAAG,CAAC,WAAWjqF,GAAG,YAAY,QAAQ,WAAWgqF,EAAG,EAAE,SAASE,GAAIlnG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ0B,EAAE,IAAIC,EAAE,WAAWC,EAAE,gBAAgBS,CAAC,EAAEtC,EAAEuC,EAAEw3C,EAAE,wBAAwBl4C,CAAC,EAAEW,EAAEu3C,EAAE,kBAAkB,EAAE,EAAE,MAAMp4C,EAAE,EAAEC,EAAEU,EAAE,GAAGC,CAAC,EAAEE,EAAE,IAAI8jG,GAAG/jG,CAAC,EAAE,OAAO5C,EAAE,gBAAgB6C,EAAE,CAACxC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAI4mG,GAAG,CAAC,WAAWlqF,GAAG,YAAY,QAAQ,WAAWiqF,EAAG,EAAE,SAASE,GAAIpnG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,UAAUC,CAAC,EAAE5B,EAAE6B,EAAEk4C,EAAE,kBAAkB95C,EAAE,MAAM,EAAE,MAAM,EAAE2B,EAAED,CAAC,EAAEW,EAAE,IAAIwjG,GAAGjkG,CAAC,EAAE,OAAOjC,EAAE,gBAAgB0C,EAAE,CAACrC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAI8mG,GAAG,CAAC,WAAWnqF,GAAG,YAAY,QAAQ,WAAWkqF,EAAG,EAAE,SAASE,GAAItnG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,YAAYC,CAAC,EAAE5B,EAAE6B,EAAEk4C,EAAE,kBAAkB95C,EAAE,MAAM2B,EAAE,EAAE,EAAED,CAAC,EAAEW,EAAE,IAAIkkG,GAAG3kG,CAAC,EAAE,OAAOjC,EAAE,gBAAgB0C,EAAE,CAACrC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIgnG,GAAG,CAAC,WAAWpqF,GAAG,YAAY,QAAQ,WAAWmqF,EAAG,EAAE,SAASE,GAAIxnG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,IAAI,EAAE,QAAQ0B,EAAE,WAAWC,CAAC,EAAE5B,EAAE6B,EAAEk4C,EAAE,kBAAkBn4C,EAAE,EAAE,MAAMD,EAAE,EAAE,CAAC,EAAEW,EAAE,IAAImkG,GAAG5kG,CAAC,EAAE,OAAOjC,EAAE,gBAAgB0C,EAAE,CAACrC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIknG,GAAG,CAAC,WAAWrqF,GAAG,YAAY,QAAQ,WAAWoqF,EAAG,EAAME,GAAI9J,GAAG;AAAA;AAAA,EAE74C+J,GAAI9J,GAAG,CAAC,UAAU6J,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAWvqF,GAAG,YAAY,QAAQ,WAAWsqF,EAAG,EAAME,GAAI;AAAA;AAAA;AAAA,EAGtFC,GAAIjK,GAAG,CAAC,UAAUgK,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAWzqF,GAAG,YAAY,QAAQ,WAAWwqF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYlnG,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,QAAQ,QAAQ,QAAQ,EAAE,KAAK,YAAY,CAAC,EAAE,GAAG,CAACC,EAAEC,EAAEC,EAAE,CAAC,EAAEpB,EAAE,CAAC8B,CAAC,EAAE1C,EAAE,CAAC,EAAE4C,CAAC,EAAE,EAAE,KAAK,YAAY,CAACF,EAAE,EAAEE,EAAE,CAAC,EAAE,IAAIC,EAAExC,IAAI,WAAW,EAAE,EAAE,CAACyC,EAAEkB,CAAC,EAAE,CAAC,GAAGjC,EAAE,MAAM,GAAGC,EAAE,KAAK,EAAE,CAACiC,EAAEoD,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,IAAItF,EAAE,IAAI,EAAE,KAAK,yBAAyB,MAAMe,6BAA6B,EAAE,CAAC,MAAM,MAAM,mBAAmBA,GAAG,EAAE,CAAC2B,EAAEC,EAAEC,CAAC,EAAE/B,EAAE,EAAE,CAAC,IAAIZ,EAAE,IAAIY,EAAE,KAAK,wBAAwB,MAAMoB,4BAA4B,EAAE,CAAC,MAAM,MAAM,mBAAmBA,GAAG,EAAE,KAAK,SAAS;AAAA,yCAC1gBC;AAAA,wCACDQ;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,iCAgBP3C;AAAA;AAAA;AAAA;AAAA,+BAIFuF;AAAA,8BACD3C;AAAA;AAAA,uBAEP;AAAA,mCACY5B;AAAA,4BACPjB;AAAA;AAAA;AAAA,uBAGL8C;AAAA,mCACYX;AAAA,4BACPnC;AAAA;AAAA;AAAA;AAAA;AAAA,aAKfgB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAwBR,CAAC,EAAMklG,GAAIjoG,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,SAAS0B,EAAE,OAAOC,EAAE,mBAAmBC,CAAC,EAAE7B,EAAEsC,EAAE,IAAIolG,GAAGznG,EAAE,MAAM,EAAE,MAAM0B,EAAEC,EAAEC,CAAC,EAAE,OAAOjC,EAAE,gBAAgB0C,EAAE,CAACrC,EAAE,EAAE,CAAC,EAAE,SAAS,CAAC,EAAE2nG,GAAG,CAAC,WAAWzqF,GAAG,YAAY,QAAQ,WAAWwqF,EAAG,EAAME,IAAI,SAASnoG,EAAE,CAACA,EAAE,KAAK,IAAIA,EAAE,IAAI,GAAG,GAAGmoG,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,KAAK,CAAC,YAAYtnG,EAAEZ,EAAE,EAAEK,EAAE,CAAC,KAAK,GAAGO,EAAE,KAAK,YAAYZ,EAAE,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,QAAQ,KAAK,OAAO,CAAC,EAAE,IAAI6B,EAAE,KAAK,YAAY,OAAOC,EAAE,KAAK,KAAKmmG,GAAG,KAAK,MAAM,MAAMlmG,EAAE,EAAED,EAAE,QAAQqmG,GAAGtmG,EAAE,SAAS,KAAK,EAAE,KAAKG,EAAE,KAAK,YAAY,KAAK,YAAY,OAAO,GAAG,EAAE,GAAGU,EAAE,GAAG,GAAG,EAAErC,EAAE,UAAU2B,EAAE,IAAI,WAAWU,EAAErC,EAAE,UAAU,YAAY,EAAEA,EAAE,gBAAgB2B,IAAI,cAAcU,EAAErC,EAAE,aAAa,cAAc,KAAK,SAAS;AAAA;AAAA,UAE1uBu0F,GAAG/yF,CAAC;AAAA,oBACMumG,GAAGvmG,EAAE,SAAS,KAAK,EAAE;AAAA,sBACnBE;AAAA;AAAA,cAER;AAAA,sBACQW;AAAA,YACV0lG,GAAGvmG,EAAE,SAAS,KAAK,EAAE;AAAA,gBACjB,KAAK,YAAYsmG,GAAGtmG,EAAE,SAAS,KAAK,EAAE;AAAA;AAAA;AAAA;AAAA,KAIjD,CAAC,EAAE,SAASsmG,GAAGroG,EAAE,EAAEE,EAAE,CAAC,GAAGF,IAAI,EAAE,MAAM,GAAG,IAAI,GAAGA,IAAI,EAAE,MAAM,GAAG,QAAQ,MAAM,GAAGA,IAAI,EAAE,MAAM,GAAG,QAAQ,QAAQ,MAAM,GAAGA,IAAI,EAAE,MAAM,GAAG,QAAQ,QAAQ,QAAQ,MAAM,MAAM,IAAI,MAAM,cAAcE,cAAcF,wBAAwB,CAAC,CAAC,SAASsoG,GAAGtoG,EAAE,EAAEE,EAAE,CAAC,GAAGF,IAAI,EAAE,MAAM,GAAG,IAAI,GAAGA,IAAI,EAAE,MAAM,GAAG,MAAM,GAAGA,IAAI,EAAE,MAAM,GAAG,MAAM,GAAGA,IAAI,EAAE,MAAM,GAAG,MAAM,MAAM,IAAI,MAAM,cAAcE,cAAcF,wBAAwB,CAAC,CAAC,SAASuoG,GAAGvoG,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAE,EAAE,MAAM,OAAO0B,EAAEo4C,EAAE,mBAAmB,CAAC/5C,CAAC,EAAE,CAAC,EAAE4B,EAAE,EAAED,GAAG,OAAOC,EAAEk9F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQl/F,EAAE,MAAM,CAAC,KAAK+B,CAAC,CAAC,CAAC,GAAG,IAAIE,EAAEk4C,EAAE,iBAAiB,EAAE,CAAC,EAAE,GAAG,GAAGl4C,IAAI,EAAE,EAAE,MAAM,IAAI,MAAM,mDAAmD,EAAE,MAAM,OAAO,kBAAkB7B,GAAG,EAAE,IAAIsC,EAAEV,EAAE,MAAMC,GAAGU,EAAEm6F,GAAG,CAAC,OAAO,CAAC,EAAE96F,CAAC,EAAE,QAAQhC,CAAC,CAAC,EAAE,QAAQ4C,EAAE,EAAEA,GAAG,KAAK,KAAK,KAAK,KAAKF,CAAC,CAAC,EAAE,EAAEE,IAAI,CAAC,IAAIC,EAAE,IAAIqlG,GAAGpoG,EAAEkC,EAAE,MAAM,GAAG,CAAC,EAAEc,EAAE,CAAC,CAACF,CAAC,CAAC,EAAEoB,EAAErB,EAAEA,EAAE3C,EAAE,gBAAgB6C,EAAE,CAACF,CAAC,EAAEA,EAAE,MAAMG,CAAC,EAAE9C,EAAE,8BAA8BgE,CAAC,CAAC,CAAC,GAAG3D,EAAE,CAAC,IAAIuC,EAAE,IAAIslG,GAAGpoG,EAAEkC,EAAE,MAAM3B,EAAE,CAAC,EAAEwC,EAAEF,EAAEA,EAAE3C,EAAE,gBAAgB4C,EAAE,CAACD,CAAC,EAAEA,EAAE,KAAK,EAAE3C,EAAE,8BAA8B6C,CAAC,CAAC,CAAC,GAAGd,GAAG,KAAK,CAAC,IAAIa,EAAEu3C,EAAE,uBAAuBp4C,CAAC,EAAEc,EAAEq8F,GAAG,CAAC,OAAO,CAAC,EAAEv8F,CAAC,EAAE,QAAQ3C,EAAE,MAAM,CAAC,KAAK4C,CAAC,CAAC,CAAC,EAAE,OAAO5C,EAAE,8BAA8B2C,CAAC,EAAE3C,EAAE,8BAA8BgC,CAAC,EAAEa,CAAC,CAAC,OAAOF,CAAC,CAAC,SAAS2lG,GAAIxoG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU,EAAE,QAAQ0B,CAAC,EAAE3B,EAAE,OAAOioG,GAAGJ,GAAG,KAAK5nG,EAAEL,EAAE,EAAE,EAAE+B,CAAC,CAAC,CAAC,IAAIwmG,GAAG,CAAC,WAAWlrF,GAAG,YAAY,QAAQ,WAAWirF,EAAG,EAAE,SAASE,GAAI1oG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU,EAAE,QAAQ0B,CAAC,EAAE3B,EAAE,OAAOioG,GAAGJ,GAAG,IAAI5nG,EAAEL,EAAE,EAAE,EAAE+B,CAAC,CAAC,CAAC,IAAI0mG,GAAG,CAAC,WAAWnrF,GAAG,YAAY,QAAQ,WAAWkrF,EAAG,EAAE,SAASE,GAAI5oG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,aAAa0B,CAAC,EAAE3B,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,CAAC,IAAI2B,EAAEhC,EAAE,SAASK,EAAE,MAAM,EAAE4B,EAAEjC,EAAE,SAAS,EAAE,MAAM,EAAE0C,EAAEy0F,GAAGn1F,EAAEC,EAAE,EAAE,MAAM,EAAE,MAAM,CAAC,EAAE,OAAOjC,EAAE,eAAe,CAAC,CAAC,EAAE,EAAE,MAAM0C,CAAC,CAAC,SAASrC,EAAE,MAAM,SAAS,EAAE,CAAC,IAAI2B,EAAEhC,EAAE,WAAWK,CAAC,EAAE4B,EAAEjC,EAAE,WAAW,CAAC,EAAE0C,EAAE00F,GAAGp1F,EAAEC,EAAE,EAAEF,CAAC,EAAE,OAAO/B,EAAE,eAAe0C,EAAE,MAAM,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,MAAM,IAAI,MAAM,qEAAqErC,EAAE,MAAM,SAAS,CAAC,CAAC,IAAIsoG,GAAG,CAAC,WAAWnrF,GAAG,YAAY,QAAQ,WAAWkrF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYhoG,EAAEZ,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,YAAYY,EAAE,KAAK,UAAUZ,EAAE,KAAK,WAAW,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA,gBAIvqE,KAAK,qBAAqB;AAAA,gBAC1B,KAAK,oBAAoB;AAAA,gBACzB,KAAK,oBAAoB;AAAA;AAAA,uBAElBA;AAAA,+BACQA;AAAA,uBACRA;AAAA,+BACQA;AAAA,mCACIA;AAAA,UACzB,KAAK,mBAAmB;AAAA;AAAA;AAAA,uBAGX,KAAK,uBAAuB;AAAA;AAAA;AAAA,GAGhD,CAAC,sBAAsB,CAAC,OAAO,KAAK,aAAa,OAAO,YAAY,WAAW,CAAC,qBAAqB,CAAC,OAAO,KAAK,aAAa,OAAO,YAAY,WAAW,CAAC,qBAAqB,CAAC,OAAO,KAAK,aAAa,OAAO,YAAY,WAAW,CAAC,oBAAoB,CAAC,OAAO,KAAK,aAAa,OAAO,KAAK,YAAY,GAAG,KAAK,YAAY,EAAE,CAAC,wBAAwB,CAAC,OAAO,KAAK,aAAa,OAAO,4BAA4B,2BAA2B,CAAC,EAAE,SAAS6oG,GAAI/oG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,UAAU,EAAE,WAAW,CAAC,EAAED,EAAE2B,EAAE1B,EAAE,MAAM,GAAG2B,EAAE,IAAI,OAAO3B,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG4B,EAAE,IAAI,OAAO5B,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGqC,EAAE,IAAI,OAAOrC,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGsC,EAAEX,EAAE,EAAEY,EAAEX,EAAE,EAAEY,EAAEH,GAAG,EAAE,GAAGI,EAAE,IAAI,OAAO,CAACf,EAAEY,EAAEC,EAAEC,CAAC,EAAE,CAACd,EAAEc,EAAEF,EAAEC,CAAC,EAAEoB,EAAE,IAAI4kG,GAAG9lG,EAAE,EAAE,CAAC,EAAE,OAAO9C,EAAE,gBAAgBgE,EAAE,CAAC3D,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAIyoG,GAAG,CAAC,WAAWrrF,GAAG,YAAY,QAAQ,WAAWorF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYnoG,EAAEZ,EAAE,GAAG,EAAE,KAAKK,EAAE,GAAGwB,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,OAAO,KAAK,OAAO,EAAE,CAAC,KAAK,UAAU,KAAK,OAAO,EAAE,CAAC,KAAK,YAAY,KAAK,OAAO,EAAE,CAAC,KAAK,SAAS,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYjB,EAAE,SAAS,KAAK,oBAAoBs0F,GAAG,KAAK,YAAY,MAAM,EAAE,IAAIpzF,EAAElB,EAAE,aAAamB,EAAEnB,EAAE,YAAYoB,EAAEpB,EAAE,YAAYA,EAAE,WAAW,EAAE,GAAG8B,EAAE,GAAG,IAAIrC,EAAE,EAAE;AAAA;AAAA,YAEzqC;AAAA,WACDwB,EAAE,EAAE;AAAA;AAAA,YAEH;AAAA,WACD,EAAE;AAAA;AAAA,cAEC;AAAA;AAAA,UAEJa,EAAE,gCAAgC,IAAI,EAAE1C,EAAE,kCAAkC,GAAGA,GAAG,KAAK,cAAc,KAAK,MAAM,EAAEK,GAAG,KAAK,cAAc,KAAK,wBAAwB,EAAEwB,GAAG,KAAK,cAAc,KAAK,gBAAgB,EAAE,KAAK,SAAS;AAAA,QACpO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAOgBG;AAAA,4BACIA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCASIF;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAOEC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAcxB;AAAA,UACAW;AAAA;AAAA;AAAA,KAGL,CAAC,EAAMsmG,GAAG,KAAK,CAAC,YAAYpoG,EAAEZ,EAAE,GAAG,EAAE,KAAKK,EAAE,GAAGwB,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,eAAe,CAAC,CAAC,KAAK,OAAO,KAAK,OAAO,EAAE,CAAC,KAAK,UAAU,KAAK,OAAO,EAAE,CAAC,KAAK,YAAY,KAAK,OAAO,EAAE,CAAC,KAAK,SAAS,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYjB,EAAE,SAAS,KAAK,oBAAoBs0F,GAAG,KAAK,YAAY,MAAM,EAAE,IAAIpzF,EAAElB,EAAE,YAAYA,EAAE,WAAWmB,EAAEnB,EAAE,QAAQ,KAAKoB,EAAEpB,EAAE,YAAY,EAAEA,EAAE,cAAc8B,EAAE9B,EAAE,aAAa,EAAEA,EAAE,YAAYgC,EAAE,EAAEC,EAAE;AAAA;AAAA,+CAE1a,QAAQwE,EAAE,EAAEA,EAAE,EAAEA,IAAIxE,GAAG;AAAA,wBAC9CwE,EAAE;AAAA,uBACHA,EAAE;AAAA,wBACDA,EAAE,EAAE;AAAA,uBACLA,EAAE,EAAE;AAAA,mBACRA,KAAKxE,GAAG;AAAA,0BACDH;AAAA,QAClB,QAAQ2E,EAAE,EAAEA,EAAE,EAAEA,IAAIxE,GAAG;AAAA,mBACZwE,EAAE;AAAA,mBACFA,EAAE;AAAA,mBACFA,EAAE,EAAE;AAAA,mBACJA,EAAE,EAAE;AAAA,cACTA,iBAAiBxE,GAAG;AAAA;AAAA;AAAA,QAG1B,QAAQwE,EAAE,EAAEA,GAAGzE,EAAE,GAAG,EAAEyE,IAAI,CAAC,IAAI,EAAEA,EAAE,EAAE,GAAGxE,GAAG;AAAA,4BACvB,EAAE;AAAA,YAClBb,IAAI,GAAG,GAAG,EAAE,IAAID,EAAE,IAAI,GAAGc,GAAG;AAAA;AAAA,sEAE8B;AAAA,2BAC3C;AAAA;AAAA;AAAA;AAAA;AAAA,6BAKE;AAAA;AAAA,2BAEF;AAAA;AAAA,gBAEX,IAAI,GAAG,EAAE,EAAEA,GAAG;AAAA,oBACV,mBAAmB,EAAE,gBAAgB;AAAA,kBACvCA,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAYG,gCAAgC;AAAA;AAAA,wBAEhC,6BAA6B;AAAA;AAAA,qBAEhCA,GAAG;AAAA,0DACkC;AAAA,2BAC/B;AAAA;AAAA,6BAEE;AAAA;AAAA,2BAEF;AAAA;AAAA;AAAA,oBAGP,cAAc;AAAA,kBAChB,EAAE,EAAE,GAAG,CAAC,IAAI4B,EAAE1C,EAAE,IAAI,EAAE4kB,EAAE,kBAAkB,CAAC,EAAE,EAAE,EAAE,IAAI,GAAG5kB,EAAE,IAAI,GAAG,EAAE,IAAI,GAAGA,EAAE,IAAI,GAAGc,GAAG;AAAA,uDACjD4B;AAAA;AAAA,wEAEiB,EAAE;AAAA,6BAC7C,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,+BAKA,EAAE;AAAA;AAAA,6BAEJ,EAAE;AAAA;AAAA,oBAEX,EAAE,EAAE5B,GAAG;AAAA;AAAA;AAAA;AAAA,yBAIF,EAAE,gCAAgC,EAAE;AAAA;AAAA,yBAEpC,EAAE,6BAA6B,EAAE;AAAA;AAAA,sBAEpCA,GAAG;AAAA,wBACD,EAAE,mBAAmB,gBAAgB,EAAE;AAAA,uBACxC4B,IAAI,EAAE5B,GAAG;AAAA,wBACR,EAAE,cAAc;AAAA,sBAClBA,GAAG;AAAA,sCACa4B;AAAA;AAAA,0EAEoC,EAAE;AAAA,+BAC7C,EAAE;AAAA;AAAA,iCAEA,EAAE;AAAA;AAAA,+BAEJ,EAAE;AAAA;AAAA;AAAA,wBAGT,EAAE,cAAc,EAAE;AAAA,qBACrB,OAAO,EAAE,IAAI1C,EAAE,IAAI,GAAGc,GAAG;AAAA;AAAA,qEAEuB;AAAA,2BAC1C;AAAA;AAAA;AAAA;AAAA,6BAIE;AAAA;AAAA,2BAEF;AAAA;AAAA;AAAA,iEAGsC,EAAE;AAAA,2BACxC,EAAE;AAAA;AAAA;AAAA;AAAA,6BAIA,EAAE;AAAA;AAAA,2BAEJ,EAAE;AAAA;AAAA;AAAA,oBAGT,mBAAmB,gBAAgB,EAAE;AAAA,gBACzC,EAAE,EAAE,IAAIA,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,sBAML,EAAE,mBAAmB,EAAE;AAAA,qBACxBA,GAAG;AAAA,yDACiC;AAAA,2BAC9B;AAAA;AAAA,6BAEE;AAAA;AAAA,2BAEF;AAAA;AAAA;AAAA;AAAA,qEAI0C,EAAE;AAAA,2BAC5C,EAAE;AAAA;AAAA,6BAEA,EAAE;AAAA;AAAA,2BAEJ,EAAE;AAAA;AAAA;AAAA,oBAGT;AAAA,2BACO,gBAAgB,EAAE;AAAA,gBAC7B,EAAE,EAAE,IAAIA,GAAG;AAAA,sBACL,EAAE,mBAAmB,gBAAgB,EAAE;AAAA,qBACxC,EAAE,IAAIA,GAAG;AAAA,+BACC;AAAA,2BACJ;AAAA,YACf,EAAE,EAAE,IAAIA,GAAG;AAAA,iCACU,EAAE;AAAA,6BACN,EAAE;AAAA,eAChB,CAACA,GAAG;AAAA;AAAA,IAEfA,GAAG;AAAA;AAAA,MAED,IAAIC,EAAE,GAAGkB,EAAE,GAAG,IAAI3D,EAAEyC,EAAE;AAAA;AAAA,YAEhB;AAAA,WACDjB,EAAEiB,EAAE;AAAA;AAAA,YAEH;AAAA,WACDA,EAAE;AAAA,YACD;AAAA,WACDkB,EAAE,gCAAgC,IAAIC,EAAEjE,EAAE,kCAAkC,GAAGA,GAAG,KAAK,cAAc,KAAK,MAAM,EAAEK,GAAG,KAAK,cAAc,KAAK,wBAAwB,EAAEwB,GAAG,KAAK,cAAc,KAAK,gBAAgB,EAAE,KAAK,SAAS;AAAA,QACrOiB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAOgBhB;AAAA,4BACIA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAOlBe;AAAA;AAAA;AAAA,UAGAoB;AAAA,UACAD;AAAA;AAAA;AAAA,KAGL,CAAC,EAAE,SAASilG,GAAInpG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,UAAUC,EAAE,gBAAgBC,CAAC,EAAE7B,EAAEsC,EAAEV,EAAEU,GAAG,OAAOA,EAAE,CAAC,EAAE,CAAC,GAAGikB,EAAE,OAAOwzB,EAAE,+BAA+B,EAAEz3C,CAAC,EAAE,IAAI,gFAAgF,oBAAoBA,IAAI,EAAE,IAAIC,EAAEw3C,EAAE,kBAAkB95C,EAAE,MAAM,EAAE,MAAM,EAAEqC,EAAEX,EAAEE,EAAE,EAAE,EAAEW,EAAE2X,EAAE,EAAE,QAAQ,0BAA0B,GAAG5X,EAAE,aAAa,GAAGA,EAAE,YAAYA,EAAE,aAAa,EAAEC,EAAE,IAAIomG,GAAGrmG,CAAC,EAAEC,EAAE,IAAImmG,GAAGpmG,CAAC,EAAE,IAAIE,EAAE,CAAC,CAACF,EAAE,QAAQ,IAAIA,EAAE,QAAQ,IAAI,EAAE,CAACA,EAAE,aAAaA,EAAE,WAAW,EAAE,CAACA,EAAE,eAAeA,EAAE,aAAa,EAAE,CAACA,EAAE,SAASA,EAAE,OAAO,CAAC,EAAE,OAAO3C,EAAE,gBAAgB4C,EAAE,CAACvC,EAAE,CAAC,EAAE,UAAUwC,CAAC,CAAC,CAAC,IAAIqmG,GAAG,CAAC,WAAWxrF,GAAG,YAAY,QAAQ,WAAWurF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYvoG,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,IAAI,EAAE,KAAK,YAAYA,EAAE,YAAY,IAAIZ,EAAEY,EAAE,aAAa,EAAEA,EAAE,YAAYP,EAAEO,EAAE,QAAQ,IAAIiB,EAAEjB,EAAE,QAAQ,KAAKkB,EAAElB,EAAE,YAAYA,EAAE,WAAW,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAOr3BkB;AAAA;AAAA;AAAA;AAAA;AAAA,8BAKMlB,EAAE;AAAA,kCACEA,EAAE;AAAA,iCACHZ,OAAOK;AAAA;AAAA,kCAENO,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAA,EAAE;AAAA,mCACH,OAAOiB;AAAA;AAAA,oCAENjB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAYjC,CAAC,EAAEwoG,GAAG,KAAK,CAAC,YAAYxoG,EAAE,CAAC,KAAK,cAAc,CAAC,KAAK,GAAG,EAAE,KAAK,YAAYA,EAAE,QAAQ,IAAIZ,EAAEY,EAAE,aAAa,EAAEA,EAAE,YAAYP,EAAEO,EAAE,aAAaiB,EAAEjB,EAAE,YAAYkB,EAAE9B,EAAE,EAAEY,EAAE,QAAQ,IAAImB,EAAE,EAAE,EAAEnB,EAAE,QAAQ,KAAKoB,EAAEpB,EAAE,YAAYA,EAAE,WAAW,KAAK,SAAS;AAAA,iCAClNkB,MAAMC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAYP/B;AAAA,gDACgBK;AAAA;AAAA,oCAEZO,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,yBAKbZ;AAAA;AAAA,kCAES;AAAA,kDACgB6B;AAAA;AAAA,sCAEZjB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAMb;AAAA;AAAA;AAAA,oCAGSoB;AAAA,8BACNA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KASzB,CAAC,EAAE,SAASqnG,GAAIvpG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,UAAU0B,EAAE,IAAIC,EAAE,gBAAgBC,EAAE,YAAYS,CAAC,EAAEtC,EAAEuC,EAAEw3C,EAAE,kBAAkB95C,EAAE,MAAMqC,EAAE,EAAEX,EAAEC,EAAEC,EAAE,EAAE,EAAEW,EAAE,IAAIumG,GAAGxmG,CAAC,EAAE,OAAO3C,EAAE,gBAAgB4C,EAAE,CAACvC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIipG,GAAG,CAAC,WAAW3rF,GAAG,YAAY,QAAQ,WAAW0rF,EAAG,EAAE,SAASE,GAAIzpG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,UAAU0B,EAAE,IAAIC,EAAE,gBAAgBC,EAAE,WAAWS,CAAC,EAAEtC,EAAEuC,EAAEw3C,EAAE,kBAAkBz3C,EAAE,EAAE,MAAM,EAAEX,EAAEC,EAAEC,EAAE,EAAE,EAAEW,EAAE,IAAIwmG,GAAGzmG,CAAC,EAAE,OAAO3C,EAAE,gBAAgB4C,EAAE,CAACvC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAImpG,GAAG,CAAC,WAAW5rF,GAAG,YAAY,QAAQ,WAAW2rF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAY7oG,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY,CAACA,EAAEA,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAM3pB,CAAC,EAAE,SAAS8oG,GAAI5pG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,CAAC,EAAE,EAAEC,EAAE,CAAC,GAAGD,EAAE,MAAM,GAAGA,EAAE,KAAK,EAAE,EAAEumB,EAAE,cAAcvmB,EAAE,KAAK,EAAE,EAAEi+F,GAAG,CAAC,OAAO,CAAC,EAAEj+F,CAAC,EAAE,QAAQJ,EAAE,MAAM,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE+B,EAAE,IAAI0nG,GAAG,CAAC,EAAEznG,EAAEhC,EAAE,gBAAgB+B,EAAE,CAAC,CAAC,EAAE,EAAE,KAAK,EAAEE,EAAEo8F,GAAG,CAAC,OAAO,CAAC,EAAEr8F,CAAC,EAAE,QAAQhC,EAAE,MAAM,CAAC,MAAMK,CAAC,CAAC,CAAC,EAAE,OAAOL,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8BgC,CAAC,EAAEC,CAAC,CAAC,IAAI0nG,GAAG,CAAC,WAAW9rF,GAAG,YAAY,QAAQ,WAAW6rF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYhpG,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,YAAYA,EAAE,SAAS,GAAG,CAAC,SAASZ,EAAE,QAAQ,EAAE,QAAQK,EAAE,aAAawB,EAAE,YAAYC,EAAE,aAAaC,EAAE,YAAYC,EAAE,eAAe,EAAE,cAAcU,CAAC,EAAE9B,EAAE,CAAC,IAAI,EAAE,KAAKgC,CAAC,EAAEvC,EAAE,KAAK,SAAS;AAAA,oCACxlBwB,MAAMC;AAAA,iCACT,MAAMc;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAaTb;AAAA,iCACG;AAAA;AAAA,kCAEC/B;AAAA,kCACAgC;AAAA,qCACGU;AAAA;AAAA,sCAEC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAgBjC,CAAC,EAAE,SAASmnG,GAAI/pG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,UAAUC,CAAC,EAAE5B,EAAE6B,EAAEk4C,EAAE,sBAAsB95C,EAAE,MAAM,EAAE,MAAM,EAAE0B,EAAE,OAAOC,CAAC,EAAEU,EAAEC,EAAE,IAAIinG,GAAG3nG,CAAC,EAAES,EAAE1C,EAAE,gBAAgB2C,EAAE,CAACtC,EAAE,CAAC,EAAE,SAAS,EAAE,IAAIuC,EAAEy7F,GAAG,CAAC,OAAO,CAAC,EAAE37F,CAAC,EAAE,QAAQ1C,EAAE,MAAM,CAAC,MAAMiC,EAAE,QAAQ,CAAC,CAAC,EAAE,OAAOjC,EAAE,8BAA8B0C,CAAC,EAAEE,CAAC,CAAC,IAAIknG,GAAG,CAAC,WAAWhsF,GAAG,YAAY,QAAQ,WAAW+rF,EAAG,EAAE,SAASE,GAAIjqG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,SAASO,CAAC,EAAED,EAAE,EAAE,EAAE,CAAC,QAAQ,EAAE,WAAW2B,EAAE,OAAOC,CAAC,EAAEm4C,EAAE,qBAAqB95C,EAAE,EAAE,MAAM,EAAE85C,EAAE,oBAAoB,EAAE,OAAOn4C,EAAE,CAAC,EAAE,GAAG,CAAC,KAAKC,EAAE,MAAMS,CAAC,EAAEy3C,EAAE,qBAAqBp4C,EAAEC,CAAC,EAAEW,EAAED,EAAE,OAAOE,EAAE,KAAKC,EAAE,EAAE,OAAOC,EAAE,CAAC,EAAE,QAAQkB,EAAE,EAAEA,EAAErB,EAAE,EAAEqB,EAAE,CAAC,QAAQ,KAAKtB,EAAEsB,GAAG,CAAC,GAAG,CAAC,mBAAmBqD,EAAE,WAAWxC,CAAC,EAAEs1C,EAAE,qBAAqBt3C,EAAEb,EAAE,EAAE,EAAEyC,EAAE01C,EAAE,sBAAsB9yC,CAAC,EAAE5C,EAAE,EAAE,IAAIA,EAAEy6F,GAAG,CAAC,OAAO,CAAC,EAAE,EAAE,EAAE,EAAE,QAAQl/F,EAAE,MAAM,CAAC,KAAKqH,CAAC,CAAC,CAAC,EAAEvE,EAAE,KAAK2B,CAAC,GAAG,IAAIC,EAAED,EAAE,MAAM,MAAM,EAAE,QAAQE,EAAE,EAAEA,EAAEE,EAAE,OAAO,EAAEF,EAAED,EAAE,OAAOG,EAAEF,GAAG,EAAE,CAAC,EAAEgiB,EAAE,YAAYliB,EAAE,MAAMC,CAAC,IAAID,EAAE45F,GAAG,CAAC,OAAO,CAAC55F,CAAG,EAAE,QAAQzE,EAAE,MAAM,CAAC,MAAM0E,CAAC,CAAC,CAAC,EAAE5B,EAAE,KAAK2B,CAAC,GAAG7B,IAAI,KAAKA,EAAE6B,GAAG7B,EAAEs7F,GAAG,CAAC,OAAO,CAAC,EAAEz5F,EAAE,EAAE7B,CAAC,EAAE,QAAQ5C,CAAC,CAAC,EAAE8C,EAAE,KAAKF,CAAC,EAAE,CAACoB,EAAErB,EAAE,IAAIV,EAAE+B,IAAI,IAAIpB,EAAEo8F,GAAG,CAAC,OAAO,CAAC,EAAEp8F,CAAC,EAAE,QAAQ5C,EAAE,MAAM,CAAC,KAAKiC,EAAE+B,IAAI,EAAE,OAAOnB,GAAG,SAAS,EAAE,CAAC,CAAC,EAAEC,EAAE,KAAKF,CAAC,GAAGC,IAAI,CAAC,QAAQmB,KAAKlB,EAAEkB,IAAIpB,GAAG5C,EAAE,8BAA8BgE,CAAC,EAAE,OAAOpB,CAAC,CAAC,IAAIonG,GAAG,CAAC,WAAW9rF,GAAG,YAAY,QAAQ,WAAW6rF,EAAG,EAAME,GAAI,0CAA0CC,GAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAS1zCC,GAAIxM,GAAG,CAAC,UAAUsM,GAAI,gBAAgBC,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAWjsF,GAAG,YAAY,QAAQ,WAAWgsF,EAAG,EAAME,GAAI,yCAAyCC,GAAI;AAAA;AAAA;AAAA,EAGvJC,GAAIzqG,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,GAAGM,EAAE,EAAEC,CAAC,EAAE,EAAE,EAAEka,EAAE,EAAE,QAAQ,8BAA8B,EAAE,IAAIsiF,GAAGyN,GAAIlqG,EAAE,MAAMC,EAAE,KAAK,EAAE,IAAIs8F,GAAG0N,GAAIjqG,EAAE,MAAMC,EAAE,KAAK,EAAE,OAAOL,EAAE,gBAAgB,EAAE,CAACI,EAAEC,CAAC,EAAED,EAAE,KAAK,CAAC,EAAEoqG,GAAG,CAAC,WAAWpsF,GAAG,YAAY,QAAQ,WAAWmsF,EAAG,EAAME,GAAI;AAAA;AAAA,EAE9PC,GAAI,wBAAwBC,GAAI/M,GAAG,CAAC,UAAU8M,GAAI,gBAAgBD,GAAI,MAAM,OAAO,cAAcjT,EAAE,CAAC,EAAEoT,GAAG,CAAC,WAAWtsF,GAAG,YAAY,QAAQ,WAAWqsF,EAAG,EAAME,GAAI;AAAA;AAAA;AAAA;AAAA,cAIxJ1wD,EAAE;AAAA,eACDA,EAAE;AAAA,eACFA,EAAE;AAAA,eACFA,EAAE;AAAA,eACFA,EAAE;AAAA,eACFA,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAMf2wD,GAAInN,GAAG,CAAC,UAAUkN,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAW1sF,GAAG,YAAY,QAAQ,WAAWysF,EAAG,EAAME,IAAItN,GAAG;AAAA;AAAA,EAEzFuN,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EASJC,GAAGvN,GAAG,CAAC,UAAUqN,IAAI,gBAAgBC,IAAI,cAAcxT,GAAG,MAAM,SAAS,CAAC,EAAE0T,IAAG,CAAC,WAAW5sF,GAAG,YAAY,QAAQ,WAAW2sF,EAAE,EAAE,SAASE,GAAGtrG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQI,CAAC,EAAEN,EAAE,CAAC,IAAIO,CAAC,EAAEL,EAAE,CAAC,MAAM,CAAC,EAAE,EAAE,EAAE,EAAE,MAAM,OAAO+B,EAAE,EAAE,MAAM,MAAM,EAAEC,EAAE3B,EAAE,OAAOA,EAAE,IAAIsmB,EAAE,OAAO,EAAE,EAAE,IAAItmB,EAAE,IAAI,iCAAiC,EAAE,EAAE,OAAO,IAAI,EAAE2B,EAAE,EAAE3B,EAAE,GAAG0B,EAAE,OAAOC,EAAE,EAAE,CAAC,EAAEq8F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQj+F,EAAE,MAAM,CAAC,MAAM2B,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIspG,IAAG,CAAC,WAAW7sF,GAAG,YAAY,QAAQ,WAAW4sF,EAAE,EAAME,GAAG,uBAAuBC,IAAI5N,GAAG,CAAC,UAAU2N,GAAG,gBAAgBA,GAAG,cAAc5T,EAAE,CAAC,EAAE8T,IAAG,CAAC,WAAW/sF,GAAG,YAAY,QAAQ,WAAW8sF,GAAG,EAAME,GAAG,KAAK,CAAC,YAAY7qG,EAAEZ,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,OAAO,MAAM,EAAE,IAAIK,EAAEL,EAAE,GAAG,KAAK,YAAYA,EAAE,IAAI6B,EAAE,EAAE,SAAS,KAAK,KAAK,UAAU,KAAK,KAAKC,EAAE,EAAE,GAAGzB,MAAM,MAAM0B,EAAE,GAAGnB,IAAI,OAAOmB,EAAE,4CAA4CnB,IAAI,OAAOmB,EAAE,wCAAyC,OAAM,IAAI,MAAM,sDAAsDnB,IAAI,EAAE,KAAK,SAAS;AAAA,yCAC75BiB;AAAA;AAAA;AAAA,UAG/BE;AAAA;AAAA;AAAA;AAAA,kDAIwC1B;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMpBA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yDAS2ByB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAUpD,CAAC,EAAE,SAAS4pG,GAAG5rG,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEJ,EAAE,QAAQ,IAAIF,EAAE,MAAM,EAAEO,EAAEsmB,EAAE,cAAc7mB,EAAE,KAAK,EAAE,EAAEA,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAG,EAAEO,EAAE,EAAE0B,EAAEs8F,GAAG,CAAC,OAAO,CAAC,EAAEv+F,CAAC,EAAE,QAAQE,EAAE,MAAM,CAAC,MAAM,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEgC,EAAED,EAAE,MAAME,EAAE,IAAIwpG,GAAG,OAAOzpG,EAAE,CAAC,EAAEU,EAAE,IAAI+oG,GAAG,OAAOzpG,EAAE,CAAC,EAAEW,EAAE,CAAC,CAAC,OAAOvC,EAAE,mBAAmB,KAAK,OAAO,MAAMA,EAAE,mBAAmB,KAAK,MAAM,MAAM4B,CAAC,EAAE,CAAC,OAAO5B,EAAE,mBAAmB,KAAK,OAAO,MAAMA,EAAE,mBAAmB,KAAK,MAAM,MAAM4B,CAAC,CAAC,EAAEY,EAAE5C,EAAE,gBAAgBiC,EAAEU,EAAE,SAAS,EAAEE,EAAE7C,EAAE,gBAAgB0C,EAAEC,EAAE,SAAS,EAAEG,EAAEk6F,GAAG,CAAC,OAAO,CAAC,KAAKp6F,EAAE,KAAKC,CAAC,EAAE,QAAQ7C,CAAC,CAAC,EAAEA,EAAE,8BAA8B4C,CAAC,EAAE5C,EAAE,8BAA8B6C,CAAC,EAAE,IAAImB,EAAEq6F,GAAG,CAAC,OAAO,CAAC,EAAEv7F,CAAC,EAAE,QAAQ9C,EAAE,MAAM,CAAC,MAAMF,EAAE,KAAK,CAAC,CAAC,EAAE,OAAOE,EAAE,8BAA8B+B,CAAC,EAAE/B,EAAE,8BAA8B8C,CAAC,EAAEkB,CAAC,CAAC,SAAS2nG,IAAI7rG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMM,CAAC,EAAE,EAAE,OAAOsrG,GAAGtrG,EAAE,GAAGJ,CAAC,CAAC,CAAC,IAAI4rG,IAAG,CAAC,WAAWltF,GAAG,YAAY,QAAQ,WAAWitF,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYjrG,EAAEZ,EAAE,CAAC,KAAK,YAAY,CAAC,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,QAAQ,KAAK,OAAO,CAAC,EAAE,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAYY,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA,KAKz+B,CAAC,EAAE,SAASkrG,GAAGhsG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,MAAMM,EAAE,MAAMC,CAAC,EAAEL,EAAE,CAAC,MAAM,CAAC,EAAEA,EAAE,GAAG,EAAE,GAAG2mB,EAAE,WAAWtmB,CAAC,EAAE,IAAI,SAAS,CAAC,IAAI,EAAEsmB,EAAE,kBAAkB,EAAEA,EAAE,cAAcvmB,CAAC,CAAC,EAAE,OAAO,EAAE,KAAKC,CAAC,EAAE,EAAE,eAAeD,EAAE,EAAE,CAAC,CAAC,KAAK,CAAC,IAAI,EAAE,IAAIyrG,IAAGzrG,EAAEC,CAAC,EAAE0B,EAAE,CAAC,CAAC1B,CAAC,CAAC,EAAE,OAAO,EAAE,gBAAgB,EAAE,CAAC,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,IAAIgqG,IAAG,CAAC,WAAWptF,GAAG,YAAY,QAAQ,WAAWmtF,EAAE,EAAME,IAAG,KAAK,CAAC,YAAYprG,EAAE,CAAC,KAAK,cAAc,CAAC,OAAO,EAAE,KAAK,YAAY,CAAC,EAAE,IAAIZ,EAAEY,EAAE,GAAG,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA,yBAK3aZ;AAAA;AAAA,uCAEcA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAOlC,CAAC,EAAMisG,IAAG,CAAC,WAAWrtF,GAAG,YAAY,QAAQ,WAAW,CAAC,CAAC,OAAO9e,EAAE,QAAQ,CAAC,IAAI,CAAC,GAAG,CAAC,MAAME,CAAC,EAAEF,EAAEM,EAAE,EAAEC,EAAE,IAAI2rG,IAAGhsG,EAAE,KAAK,EAAE,OAAOI,EAAE,gBAAgBC,EAAE,CAACL,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,EAAMksG,GAAG,mBAAmBC,IAAIxO,GAAG,CAAC,UAAUuO,GAAG,gBAAgBA,GAAG,cAAcvU,EAAE,CAAC,EAAEyU,IAAG,CAAC,WAAWvtF,GAAG,YAAY,QAAQ,WAAWstF,GAAG,EAAME,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUtTC,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAqBJC,IAAI3O,GAAG,CAAC,UAAUyO,IAAI,gBAAgBC,IAAI,MAAM,OAAO,CAAC,EAAEE,IAAG,CAAC,WAAW1tF,GAAG,YAAY,QAAQ,WAAWytF,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY7rG,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,IAAIZ,EAAEuxF,GAAG,EAAE,CAAC,EAAElxF,CAAC,EAAEO,EAAE,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,uDAMpKP,QAAQ;AAAA;AAAA,wBAEvCL,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAcrB,CAAC,EAAM0sG,IAAG,KAAK,CAAC,YAAY9rG,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,IAAIZ,EAAEuxF,GAAG,EAAE,CAAC,EAAElxF,CAAC,EAAEO,EAAE,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAe7HP,QAAQ;AAAA,4BACVL,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAgBpBA,EAAE;AAAA;AAAA,KAEP,CAAC,EAAM2sG,IAAG,CAAC,WAAWlnF,GAAG,YAAY,QAAQ,WAAWmnF,GAAG,EAAEC,GAAGC,GAAGvyF,EAAE,EAAE,QAAQ,uCAAuC,EAAE,SAASqyF,IAAI9sG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,CAAC,EAAE,EAAE,CAAC,YAAY,CAAC,EAAED,EAAE,EAAE,OAAO,kBAAkB,aAAaC,aAAa,iBAAiB0B,EAAE,OAAO,kBAAkB,aAAa1B,aAAa,iBAAiB,CAAC2B,EAAEC,CAAC,EAAE,EAAE,CAAC5B,EAAE,WAAWA,EAAE,WAAW,EAAE,CAACA,EAAE,MAAMA,EAAE,MAAM,EAAEqC,EAAE,CAACT,EAAED,CAAC,EAAEW,EAAE,CAACV,EAAED,EAAE,CAAC,EAAE,GAAGD,GAAG,EAAE,CAAC,IAAIiC,EAAEuW,EAAE,EAAE,QAAQ,uCAAuC,GAAGsyF,IAAI,MAAM7oG,IAAI8oG,MAAMA,GAAG9oG,EAAE6oG,GAAG,SAAS,cAAc,QAAQ,EAAE,WAAW,KAAK,CAAC,mBAAmBC,EAAE,CAAC,GAAGD,GAAG,OAAO,MAAM7qG,EAAE6qG,GAAG,OAAO,OAAO5qG,EAAE4qG,GAAG,UAAUxsG,EAAE,EAAE,EAAE2B,EAAEC,CAAC,EAAE5B,EAAEwsG,GAAG,MAAM,CAAC,IAAIjqG,EAAE5C,EAAE,eAAe0C,EAAE,OAAO,EAAE1C,EAAE,QAAQ,IAAI4C,EAAE,MAAM,EAAE,MAAMutF,GAAG,OAAOnwF,EAAE,MAAM,yBAAyBA,EAAE,WAAW4C,EAAE,MAAM,EAAEvC,CAAC,EAAE,IAAIwC,EAAE0X,EAAE,EAAE,QAAQ,YAAY,EAAE,IAAImyF,IAAG/pG,CAAC,EAAE,IAAI8pG,IAAG9pG,CAAC,EAAEG,EAAE9C,EAAE,gBAAgB6C,EAAE,CAACD,CAAC,EAAE,OAAO,EAAE,OAAO5C,EAAE,YAAY4C,EAAE,MAAM,EAAEE,CAAC,CAAC,SAASiqG,IAAIjtG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,QAAQC,EAAE,IAAIC,EAAE,WAAWS,EAAE,UAAUC,EAAE,gBAAgBC,EAAE,WAAWC,EAAE,eAAeC,CAAC,EAAE1C,EAAE4D,EAAEm2C,EAAE,wBAAwBz3C,CAAC,EAAE,EAAEy3C,EAAE,kBAAkB95C,EAAE,MAAM,EAAE,MAAM2B,EAAEW,EAAEV,EAAEW,EAAE,GAAGoB,CAAC,EAAEqD,EAAExC,EAAE,CAAC,EAAEJ,EAAE,GAAG,KAAKC,EAAE3C,GAAG,KAAK4C,EAAE9B,IAAI,YAAY+B,EAAE,IAAI,CAAC,IAAIE,EAAE,CAACzE,EAAE,CAAC,EAAEkH,EAAE,CAACxC,EAAEC,IAAI,CAAC,GAAGA,IAAI,QAAQD,EAAE,MAAM,SAAS,GAAGA,EAAE,MAAM,KAAK,EAAE,CAAC,IAAIE,EAAEo5F,GAAG,CAAC,OAAO,CAAC,EAAEt5F,CAAC,EAAE,QAAQ/E,EAAE,MAAM,CAAC,MAAM,CAAC+E,EAAE,MAAM,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,EAAE,OAAOF,EAAE,KAAKI,CAAC,EAAEA,CAAC,CAAC,OAAOF,CAAC,EAAE,GAAGN,GAAGK,EAAE,KAAKyC,EAAE,EAAE7E,CAAC,CAAC,EAAEgC,GAAGI,EAAE,KAAKyC,EAAExF,EAAEW,CAAC,CAAC,EAAEiC,EAAE,CAAC,IAAII,EAAE/E,EAAE,eAAe,CAAC,EAAE,UAAU2mB,EAAE,kBAAkB7jB,EAAE,SAAS,CAAC,EAAEgC,EAAE,KAAKC,CAAC,EAAEF,EAAE,KAAKE,CAAC,CAAC,CAAC,OAAOD,CAAC,EAAE,GAAG,EAAE,eAAe,GAAG,EAAE,cAAc,GAAG,EAAE,iBAAiB,GAAG,EAAE,gBAAgB,GAAG,EAAE,eAAe,GAAG,EAAE,cAAc,IAAI,EAAE,QAAQ,OAAO,QAAQ,EAAE,QAAQ,OAAO,SAASuC,EAAEi/F,GAAG,CAAC,EAAEjmG,EAAE,OAAO,EAAE,SAAS,EAAE,QAAQL,EAAE,KAAK,EAAE,WAAW6C,EAAE,uBAAuBd,EAAE,eAAee,CAAC,CAAC,UAAU,EAAE,aAAa,GAAGkB,IAAI,gBAAgBuW,EAAE,EAAE,QAAQ,gBAAgB,EAAE,CAAC,IAAIzV,EAAEjC,EAAEg7F,GAAGh7F,EAAE,EAAE,EAAE,KAAK0E,EAAE,IAAI4+F,GAAG,EAAE1hG,EAAEK,EAAEJ,EAAEC,CAAC,EAAEI,EAAE,CAAC,CAAC,EAAE,QAAQ,IAAI,EAAE,QAAQ,IAAI,EAAE,CAAC,EAAE,aAAa,EAAE,WAAW,EAAE,CAAC,EAAE,eAAe,EAAE,aAAa,EAAE,CAAC,EAAE,SAAS,EAAE,OAAO,CAAC,EAAEC,EAAEJ,EAAE,EAAEyC,EAAErH,EAAE,gBAAgBuH,EAAEvC,EAAE,UAAUD,CAAC,CAAC,SAASwV,EAAE,EAAE,QAAQ,mBAAmB,EAAElT,EAAEk/F,GAAG,CAAC,EAAElmG,EAAE,OAAO,EAAE,SAAS,EAAE,QAAQL,EAAE,KAAK,EAAE,WAAW6C,EAAE,uBAAuBd,EAAE,eAAee,CAAC,CAAC,MAAM,CAAC,IAAIgC,EAAEjC,EAAEg7F,GAAGh7F,EAAE,EAAE,EAAE,KAAK0E,EAAE,IAAI0+F,GAAG,EAAExhG,EAAEK,EAAEJ,EAAEC,CAAC,EAAEI,EAAEH,EAAE,EAAEyC,EAAErH,EAAE,gBAAgBuH,EAAExC,EAAE,SAAS,CAAC,CAAC,IAAIuC,EAAE+2F,GAAG,CAAC,OAAO,CAAC,EAAAh3F,CAAC,EAAE,QAAQrH,EAAE,MAAM,CAAC,MAAM,EAAE,QAAQ,CAAC,CAAC,EAAE,OAAO6E,EAAE,KAAKwC,CAAC,EAAExC,EAAE,QAAQC,GAAG9E,EAAE,8BAA8B8E,CAAC,CAAC,EAAEwC,CAAC,CAAC,IAAI0lG,IAAG,CAAC,WAAWpnF,GAAG,YAAY,QAAQ,WAAWmnF,GAAG,EAAE,SAASE,IAAIntG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,QAAQC,EAAE,IAAIC,EAAE,UAAUS,EAAE,gBAAgBC,EAAE,WAAWC,EAAE,eAAeC,CAAC,EAAEzC,EAAE0C,EAAE,CAAC,EAAEkB,EAAEtB,EAAEsB,GAAG,OAAOA,EAAE,CAAC,EAAE,CAAC,GAAG2iB,EAAE,OAAOwzB,EAAE,+BAA+Bn4C,EAAEgC,CAAC,EAAE,IAAI,gFAAgFhC,oBAAoBgC,IAAI,EAAE,IAAI,EAAEm2C,EAAE,kBAAkB95C,EAAE,MAAM,EAAE,MAAM2B,EAAEgC,EAAE/B,EAAEU,EAAE,EAAE,EAAE0E,EAAEkT,EAAE,EAAE,QAAQ,0BAA0B,GAAG,EAAE,aAAa,GAAG,EAAE,YAAY,EAAE,aAAa,EAAE1V,EAAEjC,EAAEi7F,GAAGj7F,EAAEyE,CAAC,EAAE,KAAK5C,EAAE,CAACpE,EAAE,CAAC,EAAEqE,EAAE,GAAG,KAAKC,EAAE5C,GAAG,KAAK6C,EAAEhC,IAAI,YAAY,GAAG8B,GAAGD,EAAE,KAAK,CAAC,EAAEE,GAAGF,EAAE,KAAK1C,CAAC,EAAE6C,EAAE,CAAC,IAAIG,EAAE/E,EAAE,eAAe,CAAC,EAAE,UAAU2mB,EAAE,kBAAkB9jB,EAAE,SAAS,CAAC,EAAE4B,EAAE,KAAKM,CAAC,EAAEjC,EAAE,KAAKiC,CAAC,CAAC,CAAC,IAAIuC,EAAED,EAAEC,EAAE,IAAI0hG,GAAG,EAAEtkG,EAAEG,EAAEF,EAAEC,CAAC,EAAE0C,EAAE,IAAIyhG,GAAG,EAAErkG,EAAEG,EAAEF,EAAEC,CAAC,EAAE,IAAIE,EAAE,CAAC,CAAC,EAAE,QAAQ,IAAI,EAAE,QAAQ,IAAI,EAAE,CAAC,EAAE,aAAa,EAAE,WAAW,EAAE,CAAC,EAAE,eAAe,EAAE,aAAa,EAAE,CAAC,EAAE,SAAS,EAAE,OAAO,CAAC,EAAEyC,EAAEvH,EAAE,gBAAgBsH,EAAE7C,EAAE,UAAUK,CAAC,EAAE,OAAOhC,EAAE,QAAQiC,GAAG/E,EAAE,8BAA8B+E,CAAC,CAAC,EAAEwC,CAAC,CAAC,IAAI2lG,IAAG,CAAC,WAAWrnF,GAAG,YAAY,QAAQ,WAAWonF,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYvsG,EAAEZ,EAAE,EAAEK,EAAE,CAAC,KAAK,SAASO,EAAE,KAAK,QAAQZ,EAAE,KAAK,YAAYK,EAAE,KAAK,cAAc,CAAC,IAAI,SAAS,EAAE,KAAK,YAAY,EAAE,IAAIwB,EAAE+yF,GAAG,EAAE,MAAM,EAAE9yF,EAAE;AAAA,gBACznH,QAAQC,EAAE,EAAEA,EAAE,KAAK,SAASA,IAAID,GAAG;AAAA,gDACHC;AAAA;AAAA,sDAEM,KAAK,YAAYA;AAAA,oCACnC,KAAK,QAAQA,MAAM,KAAK,SAAS;AAAA;AAAA,YAEzDF;AAAA;AAAA;AAAA;AAAA,YAIAC;AAAA;AAAA;AAAA;AAAA,OAIL,CAAC,EAAE,SAASsrG,IAAIttG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,OAAOM,EAAE,QAAQC,CAAC,EAAE,EAAE,EAAEA,EAAE,MAAM,EAAE,EAAE,EAAE,OAAO,GAAG0B,EAAE4kB,EAAE,cAAcvmB,EAAE,KAAK,EAAE,CAAC4B,EAAEC,EAAES,EAAEC,CAAC,EAAEw3C,EAAE,mBAAmB/5C,EAAEC,CAAC,EAAEuC,EAAEy7F,GAAG,CAAC,OAAO,CAAC,EAAEh+F,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM,CAACiC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEY,EAAEw7F,GAAG,CAAC,OAAO,CAAC,EAAEj+F,CAAC,EAAE,QAAQJ,EAAE,MAAM,CAAC,MAAM,CAAC2mB,EAAE,cAAcvmB,EAAE,KAAK,EAAEsC,EAAEA,CAAC,CAAC,CAAC,CAAC,EAAE,GAAG1C,EAAE,mBAAmB,CAACI,EAAEC,CAAC,CAAC,GAAGD,EAAE,QAAQ,SAAS,CAAC,IAAIiH,EAAErH,EAAE,SAASK,EAAE,MAAM,EAAEwE,EAAE7E,EAAE,WAAWI,CAAC,EAAEqE,EAAEmzF,GAAGvwF,EAAExC,EAAEzE,EAAE,MAAM6B,EAAE,EAAES,EAAEC,EAAEvC,EAAE,MAAM2B,CAAC,EAAE,OAAO/B,EAAE,eAAegC,EAAE5B,EAAE,MAAMqE,EAAE,MAAM,CAAC,CAAC,IAAI3B,EAAE,IAAIqqG,IAAG,EAAExqG,EAAE,CAACV,EAAES,CAAC,EAAEtC,EAAE,KAAK,EAAE4D,EAAEhE,EAAE,gBAAgB8C,EAAE,CAACD,EAAED,CAAC,EAAEC,EAAE,KAAK,EAAE,EAAEw7F,GAAG,CAAC,OAAO,CAAC,EAAEr6F,CAAC,EAAE,QAAQhE,EAAE,MAAM,CAAC,MAAMgC,CAAC,CAAC,CAAC,EAAE,OAAOhC,EAAE,8BAA8B4C,CAAC,EAAE5C,EAAE,8BAA8B6C,CAAC,EAAE7C,EAAE,8BAA8BgE,CAAC,EAAE,CAAC,CAAC,IAAIqpG,IAAG,CAAC,WAAWpuF,GAAG,YAAY,QAAQ,WAAWmuF,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY1sG,EAAEZ,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,SAAS,EAAE,KAAK,YAAYA,EAAE,KAAK,KAAKA,EAAE,OAAO,IAAI,EAAE40F,GAAG,KAAK,IAAI,EAAEv0F,EAAEktG,IAAI3sG,EAAE,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA,UAE93B;AAAA;AAAA,oDAE0CA,EAAE;AAAA,oCAClBP;AAAA;AAAA,KAE/B,CAAC,EAAE,SAASktG,IAAIztG,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,UAAU,UAAU,UAAU,SAAS,EAAEI,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEP,EAAE,OAAOO,IAAIA,IAAI,EAAED,EAAE,KAAK,OAAO,EAAEA,EAAE,KAAK,GAAGJ,EAAEK,IAAI,EAAE,OAAOD,EAAE,KAAK,CAAC,CAAC,SAASotG,GAAG1tG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU0B,CAAC,EAAE3B,EAAE4B,EAAE2kB,EAAE,eAAe,EAAEtmB,EAAE,KAAK,EAAE,GAAG,GAAGka,EAAE,EAAE,IAAI,OAAO,EAAE,CAAC,IAAI1V,EAAE7E,EAAE,SAAS,EAAE,MAAM,EAAEyE,EAAEpE,EAAE,MAAM2B,GAAG,QAAQ0C,EAAE,EAAEA,EAAEG,EAAE,OAAO,EAAEH,EAAE,CAAC,IAAIC,EAAEE,EAAEH,GAAGiiB,EAAE,OAAOhiB,GAAGF,EAAE,GAAGE,GAAG,EAAE,IAAI,6BAA6BA,mBAAmBF,EAAE,IAAI,CAAC,CAAC,CAAC,IAAIxC,EAAEk4C,EAAE,aAAa,yBAAyB95C,EAAE,EAAE2B,EAAED,CAAC,EAAEW,EAAEikB,EAAE,cAAc,EAAE,KAAK,EAAEhkB,EAAE,CAAC,EAAEC,EAAEy7F,GAAG,CAAC,OAAO,CAAC,EAAEh+F,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM,CAACiC,EAAE,UAAUA,EAAE,UAAUA,EAAE,QAAQA,EAAE,SAAS,CAAC,CAAC,CAAC,EAAEY,EAAEw7F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQr+F,EAAE,MAAM,CAAC,MAAM,CAACiC,EAAE,UAAUS,EAAET,EAAE,SAAS,CAAC,CAAC,CAAC,EAAEU,EAAE,KAAKC,CAAC,EAAED,EAAE,KAAKE,CAAC,EAAE,IAAIC,EAAE,CAACb,EAAE,UAAUA,EAAE,UAAUS,EAAET,EAAE,UAAUA,EAAE,SAAS,EAAE,GAAGjC,EAAE,mBAAmB,CAACK,EAAE,CAAC,CAAC,GAAGA,EAAE,QAAQ,SAAS,CAAC,IAAIwE,EAAE7E,EAAE,WAAW6C,CAAC,EAAE4B,EAAEzE,EAAE,WAAW4C,CAAC,EAAE8B,EAAEmzF,GAAGpzF,EAAEI,EAAE/B,CAAC,EAAE,OAAOH,EAAE,QAAQgC,GAAG3E,EAAE,8BAA8B2E,CAAC,CAAC,EAAE3E,EAAE,eAAeiC,EAAE,YAAYyC,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIV,EAAE,IAAIspG,IAAG1qG,EAAE,MAAME,CAAC,EAAE,EAAE9C,EAAE,gBAAgBgE,EAAE,CAACpB,EAAEC,CAAC,EAAED,EAAE,KAAK,EAAED,EAAE,KAAK,CAAC,EAAE,IAAI0E,EAAEg3F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQr+F,EAAE,MAAM,CAAC,MAAMiC,EAAE,WAAW,CAAC,CAAC,EAAE,OAAOU,EAAE,QAAQkC,GAAG7E,EAAE,8BAA8B6E,CAAC,CAAC,EAAEwC,CAAC,CAAC,IAAIomG,IAAG,CAAC,WAAWzuF,GAAG,YAAY,QAAQ,WAAWwuF,EAAE,EAAME,IAAI,uBAAuBC,IAAI;AAAA;AAAA,EAE1wCC,IAAIhQ,GAAG,CAAC,UAAU8P,IAAI,gBAAgBC,IAAI,cAAc7V,GAAG,MAAM,MAAM,CAAC,EAAE+V,IAAG,CAAC,WAAW3uF,GAAG,YAAY,QAAQ,WAAW0uF,GAAG,EAAME,IAAI,wBAAwBC,IAAI;AAAA;AAAA,EAEpKC,IAAIpQ,GAAG,CAAC,UAAUkQ,IAAI,gBAAgBC,IAAI,MAAM,OAAO,cAAchW,EAAE,CAAC,EAAEkW,IAAG,CAAC,WAAW9uF,GAAG,YAAY,QAAQ,WAAW6uF,GAAG,EAAE,SAASE,IAAIpuG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMM,CAAC,EAAE,EAAE,OAAOsrG,GAAGtrG,EAAE,GAAGJ,CAAC,CAAC,CAAC,IAAImuG,IAAG,CAAC,WAAW9uF,GAAG,YAAY,QAAQ,WAAW6uF,GAAG,EAAME,IAAI,wCAAwCC,IAAI1Q,GAAG,CAAC,UAAUyQ,IAAI,MAAM,MAAM,CAAC,EAAEE,IAAG,CAAC,WAAW/uF,GAAG,YAAY,QAAQ,WAAW8uF,GAAG,EAAME,IAAI,0BAA0BC,IAAI7Q,GAAG,CAAC,UAAU4Q,IAAI,MAAM,MAAM,CAAC,EAAEE,IAAG,CAAC,WAAWjvF,GAAG,YAAY,QAAQ,WAAWgvF,GAAG,EAAME,IAAI,0BAA0BC,IAAIhR,GAAG,CAAC,UAAU+Q,IAAI,MAAM,MAAM,CAAC,EAAEE,IAAG,CAAC,WAAWnvF,GAAG,YAAY,QAAQ,WAAWkvF,GAAG,EAAME,IAAI,uBAAuBC,IAAI;AAAA;AAAA,EAE1qBC,IAAInR,GAAG,CAAC,UAAUiR,IAAI,gBAAgBC,IAAI,cAAc9W,GAAG,MAAM,MAAM,CAAC,EAAEgX,IAAG,CAAC,WAAWrvF,GAAG,YAAY,QAAQ,WAAWovF,GAAG,EAAME,IAAI,wBAAwBC,IAAI;AAAA;AAAA,EAEpKC,IAAIvR,GAAG,CAAC,UAAUqR,IAAI,gBAAgBC,IAAI,cAAcjX,GAAG,MAAM,MAAM,CAAC,EAAEmX,IAAG,CAAC,WAAWxvF,GAAG,YAAY,QAAQ,WAAWuvF,GAAG,EAAE,SAASE,IAAIvvG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,MAAMM,EAAE,KAAKC,EAAE,IAAI,CAAC,EAAEL,EAAE,EAAEk4F,GAAG93F,EAAEC,EAAE,CAAC,EAAE,OAAO,EAAE,eAAe,CAAC,EAAE,MAAM,EAAE,UAAU,CAAC,CAAC,CAAC,IAAIivG,IAAG,CAAC,WAAWzvF,GAAG,YAAY,QAAQ,WAAWwvF,GAAG,EAAME,IAAI7R,GAAG;AAAA;AAAA,EAEnU8R,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQJC,IAAI9R,GAAG,CAAC,UAAU4R,IAAI,gBAAgBC,IAAI,cAAcrX,EAAE,CAAC,EAAEuX,IAAG,CAAC,WAAW5vF,GAAG,YAAY,QAAQ,WAAW2vF,GAAG,EAAME,IAAIjS,GAAG;AAAA;AAAA,EAE9HkS,IAAIjS,GAAG,CAAC,UAAUgS,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW9vF,GAAG,YAAY,QAAQ,WAAW6vF,GAAG,EAAME,IAAI,sCAAsCC,IAAI;AAAA;AAAA;AAAA;AAAA,EAIhIC,IAAIpS,GAAG,CAAC,UAAUkS,IAAI,gBAAgBC,IAAI,MAAM,MAAM,CAAC,EAAEE,IAAG,CAAC,WAAWjwF,GAAG,YAAY,QAAQ,WAAWgwF,GAAG,EAAME,IAAI,6BAA6BC,IAAIxS,GAAG,CAAC,UAAUuS,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWnwF,GAAG,YAAY,QAAQ,WAAWkwF,GAAG,EAAME,IAAI,sCAAsCC,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA,EAKpRC,IAAI3S,GAAG,CAAC,UAAUyS,IAAI,gBAAgBC,IAAI,MAAM,MAAM,CAAC,EAAEE,IAAG,CAAC,WAAWtwF,GAAG,YAAY,QAAQ,WAAWqwF,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY7vG,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY,CAAC,EAAE,IAAIC,EAAE9B,EAAE+B,EAAEnB,EAAE,GAAG,EAAE,KAAK,YAAYA,EAAE,IAAIoB,EAAE,EAAE,SAAS,cAAc3B,WAAWwB,IAAI,GAAGG,EAAE,eAAe,KAAKH,IAAI,EAAEG,EAAE,QAAQ,KAAKA,EAAE,WAAW,eAAeH,OAAO,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAS3VC,WAAWA;AAAA;AAAA,oCAECC;AAAA;AAAA;AAAA;AAAA;AAAA,0BAKVC;AAAA;AAAA;AAAA,KAGrB,CAAC,EAAM0uG,IAAG,KAAK,CAAC,YAAY9vG,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,IAAIC,EAAE9B,EAAE+B,EAAEnB,EAAE,GAAG,EAAE,KAAK,YAAYA,EAAE,IAAIoB,EAAE,EAAE,SAAS,cAAc3B,WAAWwB,IAAI,GAAGG,EAAE,eAAe,KAAKH,IAAI,EAAEG,EAAE,QAAQ,KAAKA,EAAE,WAAW,eAAeH,OAAO,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAQpR,KAAK,YAAY;AAAA,gCACjB,KAAK,YAAY;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,iCAehBC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAWRA,WAAWA;AAAA;AAAA;AAAA,6DAGyBC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0CAqBnBC;AAAA;AAAA;AAAA,KAGrC,CAAC,EAAM2uG,IAAI7wG,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,YAAY,EAAE,KAAK,EAAE,MAAM0B,EAAE,KAAKC,CAAC,EAAE5B,EAAE6B,EAAEsY,EAAE,EAAE,QAAQ,0BAA0B,EAAE,IAAIm2F,IAAGrwG,EAAE,MAAM,EAAE,EAAE0B,EAAEC,CAAC,EAAE,IAAIyuG,IAAGpwG,EAAE,MAAM,EAAE,EAAE0B,EAAEC,CAAC,EAAE,OAAOhC,EAAE,gBAAgBiC,EAAE,CAAC5B,CAAC,EAAEA,EAAE,KAAK,CAAC,EAAEuwG,IAAG,CAAC,WAAWtwF,GAAG,YAAY,QAAQ,WAAWqwF,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYjwG,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,aAAa,cAAc,IAAI,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,YAAYjB,EAAE,KAAK,MAAMA,EAAE,GAAG,KAAK,YAAYZ,EAAE,KAAK,KAAK,EAAE,KAAK,MAAMK,EAAE,KAAK,KAAKwB,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAQvd,KAAK;AAAA,oDACiB7B;AAAA,yCACX,KAAK;AAAA,0BACpBA;AAAA;AAAA;AAAA,sCAGY,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAelBK,qBAAqB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yCAOLA;AAAA,0BACfwB;AAAA;AAAA;AAAA;AAAA,0CAIgBA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAcrC,CAAC,EAAMivG,IAAIhxG,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,EAAE,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,YAAY0B,EAAE,KAAKC,EAAE,MAAMC,EAAE,KAAKS,CAAC,EAAEtC,EAAEuC,EAAE,IAAIkuG,IAAGxwG,EAAE,MAAM0B,EAAEC,EAAEC,EAAES,CAAC,EAAE,OAAO1C,EAAE,gBAAgB2C,EAAE,CAACtC,EAAE,EAAE,CAAC,EAAEA,EAAE,KAAK,CAAC,EAAE0wG,IAAG,CAAC,WAAWxwF,GAAG,YAAY,QAAQ,WAAWuwF,GAAG,EAAE,SAASE,IAAGlxG,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEsmB,EAAE,cAAc,CAAC,EAAE7kB,EAAE6kB,EAAE,cAAc7mB,EAAE,KAAK,EAAEO,EAAE0B,EAAEs8F,GAAG,CAAC,OAAO,CAAC,EAAEv+F,CAAC,EAAE,MAAM,CAAC,MAAM,CAACgC,EAAEzB,CAAC,CAAC,EAAE,QAAQD,CAAC,CAAC,EAAE4B,EAAE08F,GAAG38F,EAAEjC,EAAE,MAAM,MAAMM,CAAC,EAAE,EAAEi+F,GAAG,CAAC,OAAO,CAAC,EAAEr8F,CAAC,EAAE,MAAM,CAAC,MAAMhC,CAAC,EAAE,QAAQI,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B2B,CAAC,EAAE3B,EAAE,8BAA8B4B,CAAC,EAAE,CAAC,CAAC,SAASivG,GAAGnxG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,iBAAiB,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE2kB,EAAE,eAAe,EAAEtmB,EAAE,KAAK,EAAE4B,EAAED,EAAEU,EAAEy3C,EAAE,mBAAmBl4C,EAAEF,CAAC,EAAEY,EAAED,GAAG,KAAKE,EAAE5C,EAAE,mBAAmB,CAACK,CAAC,CAAC,EAAEwC,EAAExC,EAAE,GAAGsC,EAAE,CAAC,GAAGC,EAAE,CAAC,IAAI6B,EAAEzE,EAAE,QAAQ,IAAI6C,EAAE,MAAM,EAAE,OAAO6B,EAAE,IAAI,MAAM3C,CAAC,EAAE,QAAQuF,EAAE,EAAEA,EAAE5C,EAAE,OAAO4C,IAAI5C,EAAE4C,GAAGjH,EAAE,MAAMqC,EAAE4E,IAAI,IAAI3C,EAAEm1F,GAAGr1F,EAAEpE,EAAE,MAAMA,EAAE,MAAMqC,EAAEgC,CAAC,EAAE7B,EAAE7C,EAAE,eAAe0E,EAAErE,EAAE,KAAK,EAAE,IAAIuE,EAAE5E,EAAE,QAAQ,IAAI6C,EAAE,MAAM,EAAE+B,EAAE,OAAOD,CAAC,MAAM9B,EAAEi8F,GAAGz+F,EAAEqC,EAAE1C,CAAC,EAAEiC,EAAEk4C,EAAE,iBAAiBl4C,EAAE,OAAOF,CAAC,CAAC,CAACo4C,EAAE,2BAA2B,MAAMl4C,EAAEF,CAAC,EAAE,GAAG,CAACe,EAAEkB,CAAC,EAAEm2C,EAAE,0BAA0Bt3C,EAAE,MAAMZ,CAAC,EAAE,EAAEa,EAAE,IAAI,EAAEq3C,EAAE,qBAAqBr3C,EAAEd,CAAC,GAAG,IAAIqF,EAAE,GAAGzE,EAAE,CAAC,IAAI6B,EAAEzE,EAAE,QAAQ,IAAI6C,EAAE,MAAM,EAAE,OAAO6B,EAAE0zF,GAAG3zF,EAAEkiB,EAAE,cAAc3iB,CAAC,EAAE,EAAE3D,EAAE,KAAK,EAAEgH,EAAErH,EAAE,eAAe,EAAEK,EAAE,KAAK,EAAE,IAAIsE,EAAE3E,EAAE,QAAQ,IAAIqH,EAAE,MAAM,EAAE1C,EAAE,OAAOD,CAAC,MAAM2C,EAAE2pG,IAAGnuG,EAAEmB,EAAE,EAAEhE,CAAC,EAAE,OAAO2C,GAAG3C,EAAE,8BAA8B6C,CAAC,EAAEwE,CAAC,CAAC,IAAI6pG,IAAG,CAAC,WAAW1wF,GAAG,YAAY,QAAQ,WAAWywF,EAAE,EAAME,IAAIzU,GAAG;AAAA;AAAA,EAE33C0U,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA,IAKFxU,GAAG;AAAA;AAAA,EAELyU,IAAIzT,GAAG,CAAC,UAAUuT,IAAI,gBAAgBC,IAAI,cAAc/Y,EAAE,CAAC,EAAEiZ,IAAG,CAAC,WAAW7wF,GAAG,YAAY,QAAQ,WAAW4wF,GAAG,EAAE,SAASE,IAAIzxG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE4sF,GAAG5sF,EAAE,SAAS,EAAE,GAAG,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,CAAC,EAAE5B,EAAE6B,EAAE,EAAE0kB,EAAE,OAAOwzB,EAAE,+BAA+B,EAAEl4C,CAAC,EAAE,IAAI,wEAAwE,oBAAoBA,IAAI,EAAE,IAAIS,EAAEy3C,EAAE,kBAAkB95C,EAAE,MAAM,EAAE,EAAE4B,EAAEF,EAAEC,CAAC,EAAE,GAAGU,EAAE,cAAc,GAAGA,EAAE,eAAe,GAAGikB,EAAE,YAAYjkB,EAAE,QAAQA,EAAE,QAAQ,EAAE,OAAOo6F,GAAG,CAAC,OAAO,CAAC,EAAEz8F,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,IAAI2C,EAAE,IAAI0/F,GAAG3/F,EAAE,MAAM,EAAE,EAAE,OAAO1C,EAAE,gBAAgB2C,EAAE,CAACtC,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAImxG,IAAG,CAAC,WAAW9wF,GAAG,YAAY,QAAQ,WAAW6wF,GAAG,EAAE,SAASE,IAAI3xG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,WAAWC,EAAE,gBAAgBC,CAAC,EAAE7B,EAAEsC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEC,EAAEw3C,EAAE,kBAAkB95C,EAAE,MAAM,EAAE,EAAEqC,EAAEX,EAAEE,EAAED,CAAC,EAAEY,EAAE,IAAI0/F,GAAG3/F,EAAE,MAAM,EAAE,EAAE,OAAO3C,EAAE,gBAAgB4C,EAAE,CAACvC,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAIqxG,IAAG,CAAC,WAAW9wF,GAAG,YAAY,QAAQ,WAAW6wF,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY/wG,EAAE,CAAC,KAAK,cAAc,CAAC,KAAK,QAAQ,EAAE,KAAK,YAAYA,EAAE,QAAQ,IAAIZ,EAAEY,EAAE,aAAa,EAAEA,EAAE,YAAYP,EAAEO,EAAE,eAAeiB,EAAEjB,EAAE,sBAAsBkB,EAAElB,EAAE,qBAAqBmB,EAAEF,EAAE,EAAEjB,EAAE,QAAQ,IAAIoB,EAAEF,EAAE,EAAElB,EAAE,QAAQ,KAAK,EAAEiB,EAAEC,EAAE,EAAE,KAAK,SAAS;AAAA,iCACjrCC,MAAMC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAcPH;AAAA,kBACdxB;AAAA,gDAC8BL;AAAA;AAAA,oCAEZY,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,kCAKJkB;AAAA,kDACgB;AAAA;AAAA,sCAEZlB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAOR;AAAA;AAAA;AAAA;AAAA,qCAIKkB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAQhC,CAAC,EAAE8vG,IAAG,KAAK,CAAC,YAAYhxG,EAAE,CAAC,KAAK,cAAc,CAAC,KAAK,QAAQ,EAAE,KAAK,YAAYA,EAAE,QAAQ,IAAIZ,EAAEY,EAAE,YAAY,EAAEA,EAAE,aAAaP,EAAEO,EAAE,YAAYiB,EAAEjB,EAAE,cAAckB,EAAElB,EAAE,eAAemB,EAAEnB,EAAE,cAAcoB,EAAEpB,EAAE,qBAAqB,EAAEA,EAAE,sBAAsB8B,EAAE9B,EAAE,qBAAqB,EAAEoB,EAAE,EAAEpB,EAAE,QAAQ,MAAMgC,EAAE,EAAE,EAAEhC,EAAE,QAAQ,IAAIiC,EAAEH,EAAE,EAAE9B,EAAE,QAAQ,KAAKkC,EAAEd,EAAE,EAAEU,EAAE,EAAE,KAAK,SAAS;AAAA,iCAC5U,MAAME,MAAMC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAiBbb;AAAA,mBACbH;AAAA,gDAC6B7B;AAAA;AAAA,oCAEZY,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,kCAKJ;AAAA,sBACZkB;AAAA,kDAC4B;AAAA;AAAA,sCAEZlB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oCAMJ8B;AAAA,wBACZX;AAAA,oDAC4B1B;AAAA;AAAA,wCAEZO,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAORkC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAMT,OAAOJ;AAAA,yBACPA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KASpB,CAAC,EAAE,SAASmvG,IAAI/xG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,MAAM,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,WAAW0B,EAAE,QAAQC,EAAE,IAAIC,EAAE,gBAAgBS,CAAC,EAAEtC,EAAEuC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEC,EAAEu3C,EAAE,kBAAkB,EAAE,MAAMp4C,EAAEC,EAAEW,EAAEV,EAAES,CAAC,EAAEG,EAAE,IAAIy/F,GAAG1/F,EAAE,MAAM,EAAE,EAAEE,EAAE9C,EAAE,gBAAgB6C,EAAE,CAAC,CAAC,EAAE,EAAE,KAAK,EAAEmB,EAAE,IAAI4tG,IAAGhvG,CAAC,EAAE,EAAE5C,EAAE,gBAAgBgE,EAAE,CAAC3D,EAAEyC,CAAC,EAAE,EAAE,KAAK,EAAE,OAAO9C,EAAE,8BAA8B8C,CAAC,EAAE,CAAC,CAAC,IAAIgvG,IAAG,CAAC,WAAWjxF,GAAG,YAAY,QAAQ,WAAWgxF,GAAG,EAAE,SAASE,IAAIjyG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE,EAAE0B,EAAE,EAAEkrF,GAAG,CAAC,EAAE,CAAC,EAAE,aAAa,EAAE,GAAG,CAAC,WAAWjrF,EAAE,QAAQC,EAAE,IAAIS,EAAE,gBAAgBC,CAAC,EAAEvC,EAAEwC,EAAEu3C,EAAE,kBAAkBp4C,EAAE,MAAMC,EAAEC,EAAE,EAAES,EAAEC,CAAC,EAAEE,EAAE,GAAGC,EAAE,IAAIu/F,GAAGz/F,EAAE,MAAMC,CAAC,EAAEmB,EAAEhE,EAAE,gBAAgB8C,EAAE,CAACf,CAAC,EAAEA,EAAE,KAAK,EAAE,EAAE,IAAI4vG,IAAG/uG,CAAC,EAAEyE,EAAErH,EAAE,gBAAgB,EAAE,CAACK,EAAE2D,CAAC,EAAEjC,EAAE,KAAK,EAAE,OAAO/B,EAAE,8BAA8BgE,CAAC,EAAEqD,CAAC,CAAC,IAAI2qG,IAAG,CAAC,WAAWrxF,GAAG,YAAY,QAAQ,WAAWoxF,GAAG,EAAE,SAASE,IAAGnyG,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAE,IAAIgiG,GAAGriG,EAAE,MAAM,EAAE,EAAE,EAAEI,EAAE,gBAAgBC,EAAE,CAACP,CAAC,EAAE,SAAS,EAAEO,EAAE,IAAIgiG,GAAGriG,EAAE,MAAM,GAAG,GAAG,CAAC,EAAE,IAAI,EAAEI,EAAE,gBAAgBC,EAAE,CAACP,CAAC,EAAE,SAAS,EAAE,MAAM,CAAC,EAAE,CAAC,CAAC,CAAC,IAAIoyG,IAAG,CAAC,WAAWpxF,GAAG,YAAY,QAAQ,WAAW,CAAC,CAAC,OAAOhhB,EAAE,MAAM,EAAE,QAAQE,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEI,CAAC,EAAEN,EAAE,CAAC,WAAWO,EAAE,QAAQ,EAAE,IAAI,EAAE,oBAAoB0B,CAAC,EAAE,EAAEC,EAAEhC,EAAE2mB,EAAE,OAAOvmB,EAAE,MAAM,SAAS,EAAE,IAAI,uDAAuDA,EAAE,MAAM,SAAS,EAAE,IAAI6B,EAAE,CAAC,EAAE,CAAC,EAAE0kB,EAAE,OAAOwzB,EAAE,+BAA+B,EAAEl4C,CAAC,EAAE,IAAI,wEAAwE,oBAAoBA,IAAI,EAAE,IAAIS,EAAEy3C,EAAE,kBAAkB/5C,EAAE,MAAMC,EAAE,EAAE4B,EAAE,CAAC,EAAE,CAACU,EAAEC,CAAC,EAAEqvG,IAAG7xG,EAAE2B,EAAEW,EAAEV,CAAC,EAAE,MAAM,CAACW,EAAEC,CAAC,CAAC,CAAC,EAAE,SAASuvG,IAAGryG,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEsmB,EAAE,cAAc,CAAC,EAAE7kB,EAAE6kB,EAAE,cAAc7mB,EAAE,KAAK,EAAEO,EAAE0B,EAAEs8F,GAAG,CAAC,OAAO,CAAC,EAAEv+F,CAAC,EAAE,MAAM,CAAC,MAAM,CAACgC,EAAEzB,CAAC,CAAC,EAAE,QAAQD,CAAC,CAAC,EAAE4B,EAAE08F,GAAG38F,EAAE,UAAU,OAAO3B,CAAC,EAAE,EAAEi+F,GAAG,CAAC,OAAO,CAAC,EAAEr8F,CAAC,EAAE,MAAM,CAAC,MAAMhC,CAAC,EAAE,QAAQI,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B2B,CAAC,EAAE3B,EAAE,8BAA8B4B,CAAC,EAAE,CAAC,CAAC,IAAIowG,IAAG,CAAC,WAAWrxF,GAAG,YAAY,QAAQ,WAAW,CAAC,CAAC,OAAOjhB,EAAE,MAAM,EAAE,QAAQE,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEI,CAAC,EAAEN,EAAE,CAAC,SAASO,EAAE,KAAK,CAAC,EAAE,EAAE,EAAEL,EAAE+B,EAAE3B,EAAE,MAAM,OAAO4B,EAAE2kB,EAAE,eAAe,EAAEvmB,EAAE,KAAK,EAAE6B,EAAED,EAAEU,EAAEy3C,EAAE,mBAAmBl4C,EAAEF,CAAC,EAAEY,EAAED,GAAG,KAAKE,EAAE,EAAE,mBAAmB,CAACxC,CAAC,CAAC,EAAEyC,EAAE,CAAC,EAAEC,EAAE1C,EAAE,GAAGuC,EAAE,CAAC,GAAGC,EAAE,CAAC,IAAI8B,EAAE,EAAE,QAAQ,IAAI5B,EAAE,MAAM,EAAE,OAAO6B,EAAE,IAAI,MAAM5C,CAAC,EAAE,QAAQ+C,EAAE,EAAEA,EAAEH,EAAE,OAAOG,IAAIH,EAAEG,GAAG1E,EAAE,MAAMsC,EAAEoC,IAAI,IAAIF,EAAEk1F,GAAGp1F,EAAEtE,EAAE,MAAMA,EAAE,MAAMsC,EAAEiC,CAAC,EAAE7B,EAAE,EAAE,eAAe6B,EAAEvE,EAAE,KAAK,EAAE,IAAIkH,EAAE,EAAE,QAAQ,IAAIxE,EAAE,MAAM,EAAEwE,EAAE,OAAO1C,CAAC,MAAM9B,EAAEg8F,GAAG1+F,EAAEsC,EAAE,CAAC,EAAEG,EAAE,KAAKC,CAAC,EAAEb,EAAEk4C,EAAE,iBAAiBl4C,EAAE,OAAOF,CAAC,CAAC,CAACo4C,EAAE,2BAA2B,MAAMl4C,EAAEF,CAAC,EAAE,GAAG,CAACiC,EAAE,CAAC,EAAEm2C,EAAE,0BAA0Br3C,EAAE,MAAMb,CAAC,EAAEoF,EAAErD,EAAE3D,IAAIgH,EAAE8yC,EAAE,qBAAqBn2C,EAAEhC,CAAC,GAAG,IAAI6C,EAAEstG,IAAGrvG,EAAE,EAAEuE,EAAE,CAAC,EAAE,QAAQ5C,KAAK5B,EAAE,EAAE,8BAA8B4B,CAAC,EAAE,OAAOI,CAAC,CAAC,EAAE,SAASwtG,IAAIvyG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE2kB,EAAE,eAAe,EAAEtmB,EAAE,KAAK,EAAE4B,EAAED,EAAEU,EAAEy3C,EAAE,mBAAmBl4C,EAAEF,CAAC,EAAEY,EAAEtC,EAAEqC,GAAG,OAAOC,EAAEu8F,GAAG,CAAC,OAAO,CAAC,EAAE7+F,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAK0C,CAAC,CAAC,CAAC,EAAET,EAAEk4C,EAAE,iBAAiBl4C,EAAE,OAAO5B,EAAE,MAAM,MAAM,GAAG85C,EAAE,2BAA2B,MAAMl4C,EAAEF,CAAC,EAAE,GAAG,CAACa,EAAEC,CAAC,EAAEs3C,EAAE,0BAA0Bx3C,EAAE,MAAMV,CAAC,EAAEa,EAAE6jB,EAAE,cAAc9jB,CAAC,EAAEmB,EAAEq6F,GAAG,CAAC,OAAO,CAAC,EAAE17F,CAAC,EAAE,QAAQ3C,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG8C,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE47F,GAAG16F,EAAEA,EAAE,MAAM,MAAMhE,CAAC,EAAEqH,EAAE,GAAG,EAAE,CAAC,IAAIxC,EAAEs1C,EAAE,qBAAqBv3C,EAAEZ,CAAC,EAAEqF,EAAEg3F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQr+F,EAAE,MAAM,CAAC,MAAM6E,CAAC,CAAC,CAAC,CAAC,MAAMwC,EAAEg3F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQr+F,EAAE,MAAM,CAAC,MAAM4C,CAAC,CAAC,CAAC,EAAE,OAAO5C,EAAE,8BAA8BgE,CAAC,EAAEhE,EAAE,8BAA8B,CAAC,EAAE0C,GAAG,MAAM1C,EAAE,8BAA8B2C,CAAC,EAAE0E,CAAC,CAAC,IAAIirG,IAAG,CAAC,WAAWtxF,GAAG,YAAY,QAAQ,WAAWqxF,GAAG,EAAME,IAAI7V,GAAG;AAAA;AAAA,EAE/qG8V,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA,IAKF5V,GAAG;AAAA;AAAA,EAEL6V,IAAI7U,GAAG,CAAC,UAAU2U,IAAI,gBAAgBC,IAAI,cAAcla,EAAE,CAAC,EAAEoa,IAAG,CAAC,WAAWzxF,GAAG,YAAY,QAAQ,WAAWwxF,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY/xG,EAAEZ,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAYA,EAAE,IAAI,CAAC0C,EAAE,IAAIA,EAAE,GAAG9B,EAAE,GAAG8B,EAAE,EAAE,EAAE,IAAIrC,EAAEO,EAAE,OAAOiB,EAAE+yF,GAAGv0F,CAAC,EAAEyB,EAAE9B,EAAE,IAAI0C,GAAGA,EAAE,EAAE,EAAE,KAAK,GAAG,EAAEX,EAAE/B,EAAE,IAAI,CAAC0C,EAAE,IAAIA,EAAE,GAAG9B,EAAE,EAAE,EAAE,KAAK,GAAG,EAAEoB,EAAE,CAAC,YAAY,YAAY,YAAY,WAAW,EAAE,MAAM,EAAE3B,CAAC,EAAE,EAAE,IAAI,UAAU,EAAE,EAAE,GAAGA,IAAI,EAAE,CAAC,KAAK,SAAS;AAAA,sBACvYyB;AAAA,oBACFC;AAAA;AAAA;AAAA;AAAA;AAAA,wCAKoB;AAAA;AAAA,4CAEI;AAAA;AAAA;AAAA;AAAA,QAIpC,MAAM,CAAC,KAAK,SAAS;AAAA,QACrBF,aAAaA,KAAKC;AAAA,QAClBD,WAAWA,KAAKE;AAAA;AAAA;AAAA,UAGdF;AAAA,8BACoBxB;AAAA;AAAA,iDAEmB;AAAA;AAAA,qDAEI;AAAA;AAAA;AAAA,UAG3CwB;AAAA,yBACeG;AAAA;AAAA,KAEpB,CAAC,EAAM4wG,IAAG,KAAK,CAAC,YAAYhyG,EAAEZ,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAYA,EAAE,IAAI,CAAC8C,EAAEkB,IAAIlB,EAAE,GAAGlC,EAAEoD,GAAGlB,EAAE,EAAE,EAAE,IAAIzC,EAAEO,EAAE,OAAOiB,EAAE+yF,GAAGv0F,CAAC,EAAEyB,EAAE9B,EAAE,IAAI8C,GAAGA,EAAE,EAAE,EAAE,KAAK,GAAG,EAAEf,EAAE/B,EAAE,IAAI,CAAC8C,EAAEkB,IAAIlB,EAAE,GAAGlC,EAAEoD,EAAE,EAAE,KAAK,GAAG,EAAEhC,EAAEi4F,GAAG,KAAK55F,CAAC,EAAE,EAAE45F,GAAG,SAAS55F,CAAC,EAAEqC,EAAE,GAAGV,EAAE3B,EAAE,QAAQ,KAAK,YAAYA,EAAE,KAAK,EAAEA,IAAI,EAAE,SAAS,QAAQ,EAAE,MAAM,EAAE,EAAE,KAAK,KAAKuC,EAAE,IAAI,UAAU,EAAE,EAAEC,EAAE,GAAG,GAAGxC,IAAI,EAAE,CAAC,IAAIyC,EAAE;AAAA,UACpYjB;AAAA;AAAA,0CAEgCe;AAAA;AAAA,8CAEIA;AAAA;AAAA;AAAA,QAGtCC,EAAE;AAAA,UACAhB;AAAA,UACAiB;AAAA,sCAC4B,EAAE,KAAK,OAAO;AAAA,UAC1Cd,EAAE3B,EAAE;AAAA,aACDqC;AAAA,YACDI;AAAA,wCAC4B,EAAE,KAAK,OAAO;AAAA;AAAA,OAE/C,KAAK,CAAC,IAAIA,EAAE;AAAA,UACTjB;AAAA,UACAA,UAAUA;AAAA,UACVA,WAAWA;AAAA,UACXA;AAAA;AAAA,6CAEmCe;AAAA,kDACKA;AAAA;AAAA,QAE1CC,EAAE;AAAA,UACAhB;AAAA,UACAiB;AAAA,sCAC4B,EAAE,KAAK,OAAO;AAAA,UAC1Cd,EAAE3B,EAAE;AAAA,aACDqC;AAAA,YACDI;AAAA,wCAC4B,EAAE,KAAK,OAAO;AAAA;AAAA;AAAA,UAG5Cd,EAAE3B,EAAE;AAAA,aACD2B,EAAE3B,EAAE,QAAQ,KAAK,YAAYA,EAAE;AAAA,YAChCyC;AAAA,wCAC4B,EAAE,KAAK,OAAO;AAAA,YAC1Cd,EAAE3B,EAAE;AAAA,eACDqC;AAAA,cACDI;AAAA,0CAC4B,EAAE,KAAK,OAAO;AAAA;AAAA;AAAA,OAGjD,CAAC,KAAK,SAAS;AAAA,cACRjB,aAAaA,KAAKC;AAAA,cAClBD,WAAWA,KAAKE;AAAA;AAAA;AAAA,UAGpBF;AAAA;AAAA,UAEAgB;AAAA;AAAA;AAAA,KAGL,CAAC,EAAMgwG,IAAI,CAAC,CAAC,OAAO/yG,EAAE,QAAQ,EAAE,MAAME,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEI,CAAC,EAAEN,EAAE,CAAC,SAASO,EAAE,KAAK,CAAC,EAAEL,EAAE,EAAEua,EAAE,EAAE,QAAQ,6BAA6B,EAAE,IAAIq4F,IAAGxyG,EAAE,MAAMC,EAAE,CAAC,EAAE,IAAIsyG,IAAGvyG,EAAE,MAAMC,EAAE,CAAC,EAAE,OAAO,EAAE,gBAAgB,EAAE,CAACD,CAAC,EAAEA,EAAE,KAAK,CAAC,EAAE0yG,IAAG,CAAC,WAAW5xF,GAAG,YAAY,QAAQ,WAAW2xF,GAAG,EAAME,IAAI;AAAA,qBACzPC,IAAI;AAAA;AAAA;AAAA,IAGrBpW,GAAG;AAAA;AAAA,EAELqW,IAAIrV,GAAG,CAAC,UAAUmV,IAAI,gBAAgBC,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW/xF,GAAG,YAAY,QAAQ,WAAW8xF,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYvyG,EAAEZ,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,OAAO,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,OAAO,KAAK,OAAO,CAAC,EAAE,KAAK,YAAY,CAACY,EAAE,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAQzNZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0BAUNA,EAAE;AAAA;AAAA,KAEvB,CAAC,EAAMozG,IAAI;AAAA;AAAA;AAAA;AAAA,eAIDC,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAkBjBC,GAAG1V,GAAG,CAAC,UAAUwV,IAAI,gBAAgBC,IAAI,iBAAiB,EAAE,CAAC,EAAEE,IAAG,CAAC,WAAWt1F,GAAG,YAAY,QAAQ,WAAWq1F,EAAE,EAAME,GAAG,gBAAgBC,GAAG7V,GAAG,CAAC,UAAU4V,GAAG,gBAAgBA,GAAG,gBAAgB,GAAG,cAAc7Z,EAAE,CAAC,EAAE+Z,IAAG,CAAC,WAAW9uF,GAAG,YAAY,QAAQ,WAAW6uF,EAAE,EAAE,SAASE,GAAG7zG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,CAAC,EAAE,EAAE,CAAC,IAAI,CAAC,EAAED,EAAE,EAAEumB,EAAE,eAAe,CAAC,CAAC,EAAEtmB,EAAE,KAAK,EAAE0B,EAAEkvG,GAAG,CAAC,OAAO,CAAC,EAAE5wG,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,iBAAiB,EAAE,SAAS,EAAE,CAAC,CAAC,EAAEgC,EAAEm4C,EAAE,qBAAqBp4C,EAAE,MAAM,CAAC,EAAEE,EAAEo8F,GAAG,CAAC,OAAO,CAAC,EAAEt8F,CAAC,EAAE,QAAQ/B,EAAE,MAAM,CAAC,MAAMgC,CAAC,CAAC,CAAC,EAAEU,EAAE+wG,GAAG,CAAC,OAAO,CAAC,EAAEpzG,EAAE,EAAE4B,CAAC,EAAE,QAAQjC,CAAC,CAAC,EAAE2C,EAAEuoG,GAAG,CAAC,OAAO,CAAC,EAAExoG,CAAC,EAAE,QAAQ1C,CAAC,CAAC,EAAE4C,EAAEo8F,GAAG,CAAC,OAAO,CAAC,EAAEr8F,CAAC,EAAE,QAAQ3C,EAAE,MAAM,CAAC,KAAK,EAAE,SAAS,EAAE,CAAC,CAAC,EAAE6C,EAAEw7F,GAAG,CAAC,OAAO,CAAC,EAAEz7F,CAAC,EAAE,QAAQ5C,EAAE,MAAM,CAAC,MAAMgC,CAAC,CAAC,CAAC,EAAEc,EAAEwwG,GAAG,CAAC,OAAO,CAAC,EAAE3wG,EAAE,EAAEE,CAAC,EAAE,QAAQ7C,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B+B,CAAC,EAAE/B,EAAE,8BAA8BiC,CAAC,EAAEjC,EAAE,8BAA8B0C,CAAC,EAAE1C,EAAE,8BAA8B2C,CAAC,EAAE3C,EAAE,8BAA8B4C,CAAC,EAAE5C,EAAE,8BAA8B6C,CAAC,EAAEC,CAAC,CAAC,IAAI8wG,IAAG,CAAC,WAAW5vF,GAAG,YAAY,QAAQ,WAAW2vF,EAAE,EAAE,SAASE,IAAI/zG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,KAAK,EAAE,WAAW0B,CAAC,EAAE3B,EAAE4B,EAAED,EAAE1B,EAAEszG,GAAG,CAAC,OAAO,CAAC,OAAOtzG,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,IAAIK,EAAE,MAAM,OAAO,CAAC,CAAC,CAAC,EAAE4B,EAAED,EAAE,MAAM,GAAGU,EAAEV,EAAE,MAAM,GAAGW,EAAE,IAAIwwG,IAAGlxG,EAAES,EAAE,CAAC,EAAEE,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEC,EAAE7C,EAAE,gBAAgB2C,EAAE,CAACX,CAAC,EAAE,QAAQY,CAAC,EAAE,OAAOb,GAAG/B,EAAE,8BAA8BgC,CAAC,EAAEa,CAAC,CAAC,IAAIixG,IAAG,CAAC,WAAW1yF,GAAG,YAAY,QAAQ,WAAWyyF,GAAG,EAAME,IAAIjZ,GAAG;AAAA;AAAA,EAEp2CkZ,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUJ,SAASC,IAAIn0G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,CAAC,EAAE,EAAE,GAAGJ,EAAE,mBAAmB,CAACI,CAAC,CAAC,EAAE,CAAC,IAAI,EAAEJ,EAAE,QAAQ,IAAII,EAAE,MAAM,EAAE,CAAC,EAAE2B,CAAC,EAAEy2F,GAAG,EAAE,OAAOp4F,EAAE,MAAMA,EAAE,KAAK,EAAE,OAAOJ,EAAE,eAAe+B,EAAE3B,EAAE,MAAM,CAAC,CAAC,CAAC,IAAIC,EAAE,OAAOka,EAAE,EAAE,QAAQ,6BAA6B,EAAEla,EAAE,IAAIs7F,GAAGv7F,EAAE,MAAM4zG,GAAG,EAAE3zG,EAAE,IAAIw6F,GAAGz6F,EAAE,MAAM2zG,GAAG,EAAE/zG,EAAE,gBAAgBK,EAAE,CAACD,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAI8zG,IAAG,CAAC,WAAW5yF,GAAG,YAAY,QAAQ,WAAW2yF,GAAG,EAAME,IAAIn2D,GAAG,wBAAwB,SAASo2D,IAAIt0G,EAAE,CAACq6C,EAAE,KAAK,+FAA+F,EAAE,GAAG,CAAC,OAAO,EAAE,QAAQn6C,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,aAAa0B,EAAE,eAAeC,CAAC,EAAE5B,EAAE6B,EAAEjC,EAAE,SAASK,EAAE,MAAM,EAAEqC,EAAE1C,EAAE,SAAS,EAAE,MAAM,EAAE,CAAC,gBAAgB2C,CAAC,EAAEwxG,IAAIlyG,EAAES,EAAE,EAAEX,EAAEC,CAAC,EAAE,OAAOhC,EAAE,eAAe,CAAC2C,EAAE,MAAM,EAAE,QAAQ,IAAI,WAAWA,CAAC,CAAC,CAAC,CAAC,IAAI0xG,IAAG,CAAC,WAAW7yF,GAAG,YAAY,QAAQ,WAAW4yF,GAAG,EAAME,IAAIt2D,GAAG,wBAAwB,SAASu2D,IAAIz0G,EAAE,CAACq6C,EAAE,KAAK,+FAA+F,EAAE,GAAG,CAAC,OAAO,EAAE,QAAQn6C,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,aAAa0B,EAAE,eAAeC,EAAE,mBAAmBC,CAAC,EAAE7B,EAAEsC,EAAE1C,EAAE,SAASK,EAAE,MAAM,EAAEsC,EAAE3C,EAAE,SAAS,EAAE,MAAM,EAAE,CAAC,gBAAgB4C,EAAE,aAAaC,CAAC,EAAEyxG,IAAI5xG,EAAEC,EAAE,EAAEZ,EAAEC,EAAEC,CAAC,EAAE,MAAM,CAACjC,EAAE,eAAe,CAAC4C,EAAE,MAAM,EAAE,QAAQ,IAAI,WAAWA,CAAC,CAAC,EAAE5C,EAAE,eAAe,CAAC,EAAE,QAAQ,IAAI,WAAW,CAAC6C,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI2xG,IAAG,CAAC,WAAW/yF,GAAG,YAAY,QAAQ,WAAW8yF,GAAG,EAAME,IAAIz2D,GAAG,wBAAwB,SAAS02D,IAAI50G,EAAE,CAACq6C,EAAE,KAAK,+FAA+F,EAAE,GAAG,CAAC,OAAO,EAAE,QAAQn6C,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,aAAa0B,EAAE,eAAeC,EAAE,aAAaC,CAAC,EAAE7B,EAAEsC,EAAE1C,EAAE,SAASK,EAAE,MAAM,EAAEsC,EAAE3C,EAAE,SAAS,EAAE,MAAM,EAAE4C,EAAE,EAAEC,EAAEd,EAAEe,EAAEd,EAAEgC,EAAE/B,EAAE,CAAC,gBAAgB,EAAE,eAAeoF,CAAC,EAAEotG,IAAI/xG,EAAEC,EAAEC,EAAEC,EAAEC,EAAEkB,CAAC,EAAE,MAAM,CAAChE,EAAE,eAAe,CAAC,EAAE,MAAM,EAAE,QAAQ,IAAI,WAAW,CAAC,CAAC,EAAEA,EAAE,eAAe,CAACqH,EAAE,MAAM,EAAE,UAAU,IAAI,aAAaA,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIstG,IAAG,CAAC,WAAWjzF,GAAG,YAAY,QAAQ,WAAWgzF,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYh0G,EAAEZ,EAAE,EAAEK,EAAE,CAAC,KAAK,cAAc,CAAC,SAAS,EAAE,KAAK,YAAY,CAACO,EAAEZ,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA,8BAIl/DK,aAAa;AAAA;AAAA;AAAA,KAGtC,CAAC,EAAMw0G,IAAI/0G,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,QAAQO,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,MAAM,EAAE,QAAQ0B,EAAE,SAASC,CAAC,EAAE5B,EAAE6B,EAAE0kB,EAAE,cAActmB,EAAE,KAAK,EAAEqC,EAAE,IAAIkyG,IAAG3yG,EAAE,EAAEF,EAAEC,CAAC,EAAEW,EAAE07F,GAAG,CAAC,OAAO,CAAC,EAAEh+F,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM,CAACiC,CAAC,CAAC,CAAC,CAAC,EAAEW,EAAE5C,EAAE,gBAAgB0C,EAAE,CAACC,CAAC,EAAE,CAAC,EAAE3C,EAAE,8BAA8B2C,CAAC,EAAE,IAAIE,EAAE,CAAC,GAAGxC,EAAE,MAAM,CAAC,EAAEyC,EAAEu7F,GAAG,CAAC,OAAO,CAAC,EAAEz7F,CAAC,EAAE,QAAQ5C,EAAE,MAAM,CAAC,MAAM6C,CAAC,CAAC,CAAC,EAAE,OAAO7C,EAAE,8BAA8B4C,CAAC,EAAEE,CAAC,EAAEgyG,IAAG,CAAC,WAAWlzF,GAAG,YAAY,QAAQ,WAAWizF,GAAG,EAAE,SAASE,GAAGj1G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,CAAC,EAAE,EAAE,GAAGA,EAAE,QAAQ,YAAY,CAAC,IAAIC,EAAEkkG,GAAG,CAAC,OAAO,CAAC,MAAMnkG,CAAC,EAAE,QAAQJ,CAAC,CAAC,EAAE,EAAE+0G,GAAG,CAAC,OAAO,CAAC,EAAE10G,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,EAAE2lG,GAAG,CAAC,OAAO,CAAC,MAAMvlG,CAAC,EAAE,QAAQJ,CAAC,CAAC,EAAE+B,EAAEgzG,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ/0G,CAAC,CAAC,EAAEgC,EAAEg7F,GAAG,CAAC,OAAO,CAAC,KAAK,EAAE,KAAKj7F,CAAC,EAAE,QAAQ/B,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BK,CAAC,EAAEL,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B+B,CAAC,EAAEC,CAAC,KAAM,QAAO8pG,GAAG,CAAC,MAAM,CAAC,MAAM1rG,EAAE,MAAM,MAAMA,EAAE,MAAM,MAAMA,EAAE,QAAQ,SAAS,GAAG,CAAC,EAAE,QAAQJ,CAAC,CAAC,CAAC,CAAC,IAAIg1G,IAAG,CAAC,WAAWzvF,GAAG,YAAY,QAAQ,WAAWwvF,EAAE,EAAE,SAASE,GAAGn1G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,CAAC,EAAE,EAAE,GAAGA,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,8CAA8C,EAAE,GAAGA,EAAE,QAAQ,YAAY,CAAC,IAAIC,EAAEkkG,GAAG,CAAC,OAAO,CAAC,MAAMnkG,CAAC,EAAE,QAAQJ,CAAC,CAAC,EAAE,EAAEi1G,GAAG,CAAC,OAAO,CAAC,EAAE50G,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,EAAE2lG,GAAG,CAAC,OAAO,CAAC,MAAMvlG,CAAC,EAAE,QAAQJ,CAAC,CAAC,EAAE+B,EAAEgzG,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ/0G,CAAC,CAAC,EAAEgC,EAAEg7F,GAAG,CAAC,OAAO,CAAC,KAAK,EAAE,KAAKj7F,CAAC,EAAE,QAAQ/B,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BK,CAAC,EAAEL,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B+B,CAAC,EAAEC,CAAC,KAAM,QAAO8pG,GAAG,CAAC,MAAM,CAAC,MAAM1rG,EAAE,MAAM,MAAMA,EAAE,MAAM,MAAM,CAAC,EAAE,QAAQJ,CAAC,CAAC,CAAC,CAAC,IAAIk1G,IAAG,CAAC,WAAWvzF,GAAG,YAAY,QAAQ,WAAWszF,EAAE,EAAE,SAASE,IAAIr1G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,KAAKO,CAAC,EAAED,EAAE,GAAG,EAAE,SAAS,EAAE,OAAOgrG,GAAG,CAAC,OAAO,CAAC,MAAM,EAAE,EAAE,EAAE,QAAQprG,EAAE,MAAM,CAAC,IAAIK,CAAC,CAAC,CAAC,EAAE,IAAI,EAAE,EAAE,GAAG,MAAM,EAAE,EAAE,GAAG,MAAM,EAAE,QAAQqC,GAAG,CAACikB,EAAE,kBAAkB,EAAEjkB,EAAE,MAAM,uDAAuD,EAAEikB,EAAE,OAAO,IAAIjkB,EAAE,MAAM,IAAI,uDAAuD,CAAC,CAAC,EAAE,IAAIX,EAAE,CAAC,EAAEC,EAAE,EAAE,IAAIU,GAAG,CAAC,IAAIC,EAAEyoG,GAAG,CAAC,OAAO,CAAC,MAAM1oG,CAAC,EAAE,QAAQ1C,EAAE,MAAM,CAAC,IAAIK,CAAC,CAAC,CAAC,EAAE,OAAO0B,EAAE,KAAKY,CAAC,EAAEA,CAAC,CAAC,EAAEV,EAAE8jG,GAAG,CAAC,OAAO/jG,EAAE,QAAQhC,EAAE,MAAM,CAAC,KAAKK,CAAC,CAAC,CAAC,EAAE,OAAO0B,EAAE,QAAQW,GAAG1C,EAAE,8BAA8B0C,CAAC,CAAC,EAAET,CAAC,CAAC,IAAImzG,IAAG,CAAC,WAAWvzF,GAAG,YAAY,QAAQ,WAAWszF,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYz0G,EAAEZ,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,QAAQ,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYA,EAAE,IAAI,CAAC,EAAE0C,IAAI,EAAE,GAAG9B,EAAE8B,GAAG,EAAE,EAAE,EAAE,IAAIrC,EAAEO,EAAE,OAAOiB,EAAE+yF,GAAGv0F,CAAC,EAAEyB,EAAE9B,EAAE,IAAI,GAAG,EAAE,EAAE,EAAE,KAAK,GAAG,EAAE+B,EAAE/B,EAAE,IAAI,CAAC,EAAE0C,IAAI,EAAE,GAAG9B,EAAE8B,EAAE,EAAE,KAAK,GAAG,EAAEV,EAAE,CAAC,YAAY,YAAY,YAAY,WAAW,EAAE,MAAM,EAAE3B,CAAC,EAAE,GAAGA,IAAI,EAAE,CAAC,KAAK,SAAS;AAAA,sBAC58EyB;AAAA,oBACFC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAUZ,MAAM,CAAC,KAAK,SAAS;AAAA,QACrBF,aAAaA,KAAKC;AAAA,QAClBD,WAAWA,KAAKE;AAAA;AAAA;AAAA,UAGdF;AAAA;AAAA;AAAA;AAAA,YAIEA;AAAA,2BACeG;AAAA;AAAA;AAAA,KAGtB,CAAC,EAAMszG,IAAG,KAAK,CAAC,YAAY10G,EAAEZ,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,eAAe,CAAC,CAAC,KAAK,QAAQ,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYA,EAAE,IAAI,CAACgE,EAAEC,IAAID,EAAE,GAAGpD,EAAEqD,GAAGD,EAAE,EAAE,EAAE,IAAI3D,EAAEO,EAAE,OAAOiB,EAAE+yF,GAAGv0F,CAAC,EAAEyB,EAAE9B,EAAE,IAAIgE,GAAGA,EAAE,EAAE,EAAE,KAAK,GAAG,EAAEjC,EAAE/B,EAAE,IAAI,CAACgE,EAAEC,IAAID,EAAE,GAAGpD,EAAEqD,EAAE,EAAE,KAAK,GAAG,EAAEjC,EAAEi4F,GAAG,KAAK55F,CAAC,EAAE,EAAE45F,GAAG,SAAS55F,CAAC,EAAEqC,EAAE,GAAGV,EAAE3B,EAAE,QAAQ,KAAK,YAAYA,EAAE,KAAK,EAAEA,IAAI,EAAE,SAAS,QAAQ,EAAE,MAAM,EAAE,EAAE,KAAK,KAAKuC,EAAE,CAAC,GAAGf,oBAAoB,GAAGG,EAAE3B,EAAE;AAAA,YAC5aqC;AAAA,QACJrC,IAAI,EAAE,GAAG;AAAA;AAAA,SAER2B,EAAE3B,EAAE;AAAA,YACD2B,EAAE3B,EAAE,QAAQ,KAAK,YAAYA,EAAE,QAAQA,IAAI,EAAE,GAAG,KAAK2B,EAAE3B,EAAE;AAAA,cACvDqC,MAAM,EAAEG,EAAExC,IAAI,EAAE,0BAA0B,6DAA6DyC,EAAE,GAAG,QAAQkB,EAAE,EAAEC,EAAE5D,IAAI,EAAE,EAAE,EAAE2D,EAAEC,EAAED,IAAIlB,GAAG;AAAA,UACnJF,EAAEoB;AAAA,cACEnB;AAAA,mBACKmB;AAAA;AAAA,YAEPnC;AAAA,mBACOmC,wBAAwB,EAAE,KAAK,OAAO;AAAA;AAAA,QAEjDlB,GAAGzC,IAAI,EAAE,KAAK,KAAK,KAAK,SAAS;AAAA,cAC3BwB,aAAaA,KAAKC;AAAA,cAClBD,WAAWA,KAAKE;AAAA;AAAA;AAAA,UAGpBF;AAAA;AAAA,UAEAiB;AAAA;AAAA;AAAA,KAGL,CAAC,EAAMyyG,GAAGz1G,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,SAAS,EAAE,cAAc,CAAC,EAAED,EAAE,GAAGumB,EAAE,cAActmB,EAAE,KAAK,IAAI,EAAE,CAAC,IAAI4B,EAAE,EAAE,IAAI,CAACS,EAAEC,IAAID,EAAE,GAAGrC,EAAE,MAAMsC,GAAGD,EAAE,EAAE,EAAE,OAAOopG,GAAG,CAAC,QAAQ9rG,EAAE,MAAM,CAAC,MAAMiC,EAAE,MAAM,EAAE,MAAM5B,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,IAAI0B,EAAEwY,EAAE,EAAE,QAAQ,6BAA6B,EAAE,IAAI+6F,IAAGj1G,EAAE,MAAM,EAAE,CAAC,EAAE,IAAIg1G,IAAGh1G,EAAE,MAAM,EAAE,CAAC,EAAE2B,EAAE,CAAC,CAAC,CAAC,CAAC,EAAE,OAAOhC,EAAE,gBAAgB+B,EAAE,CAAC1B,CAAC,EAAEA,EAAE,MAAM2B,CAAC,CAAC,EAAEwzG,IAAG,CAAC,WAAW1zF,GAAG,YAAY,QAAQ,WAAWyzF,EAAE,EAAME,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAS1aC,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IAgBF9Y,GAAG;AAAA;AAAA,EAEL+Y,IAAI/X,GAAG,CAAC,UAAU6X,IAAI,gBAAgBC,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW5zF,GAAG,YAAY,QAAQ,WAAW2zF,GAAG,EAAE,SAASE,IAAI/1G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE,CAAC,EAAEC,EAAE0kB,EAAE,eAAe,EAAEtmB,EAAE,KAAK,EAAEqC,EAAET,EAAEU,EAAEw3C,EAAE,mBAAmBz3C,EAAEX,CAAC,EAAEa,EAAEvC,EAAEsC,GAAG,OAAOC,EAAEs8F,GAAG,CAAC,OAAO,CAAC,EAAE7+F,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAK2C,CAAC,CAAC,CAAC,EAAED,EAAEy3C,EAAE,iBAAiBz3C,EAAE,OAAOX,CAAC,EAAEC,EAAE,KAAKY,CAAC,GAAGu3C,EAAE,2BAA2B,OAAOz3C,EAAEX,CAAC,EAAE,IAAIc,EAAE,GAAG7C,EAAE,mBAAmB,CAAC4C,CAAC,CAAC,EAAE,CAAC,IAAIE,EAAE9C,EAAE,QAAQ,IAAI4C,EAAE,MAAM,EAAE,OAAO,CAAC,QAAQoB,EAAE,SAAS,EAAE,SAASqD,CAAC,EAAEqxF,GAAG91F,EAAE,MAAMA,EAAE,MAAME,EAAEJ,CAAC,EAAEG,EAAE7C,EAAE,eAAe,EAAEqH,EAAErD,CAAC,CAAC,KAAK,CAAC,GAAG,CAAClB,EAAEkB,CAAC,EAAEm2C,EAAE,0BAA0Bv3C,EAAE,MAAMF,CAAC,EAAE,EAAEikB,EAAE,cAAc3iB,CAAC,EAAEqD,EAAEg3F,GAAG,CAAC,OAAO,CAAC,EAAEz7F,CAAC,EAAE,QAAQ5C,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,EAAE6E,EAAE4lB,GAAGpqB,EAAE,KAAK,EAAEoE,EAAEi6F,GAAGr3F,EAAExC,EAAE,OAAO7E,CAAC,EAAE6C,EAAEw7F,GAAG,CAAC,OAAO,CAAC55F,CAAG,EAAE,QAAQzE,EAAE,MAAM,CAAC,MAAM8C,CAAC,CAAC,CAAC,EAAEd,EAAE,KAAKqF,CAAC,EAAErF,EAAE,KAAKyC,CAAC,CAAC,CAAC,GAAG,EAAE,CAACzC,EAAE,KAAKa,CAAC,EAAE,IAAIC,EAAEq3C,EAAE,qBAAqBt3C,EAAE,MAAMZ,CAAC,EAAEY,EAAEw7F,GAAG,CAAC,OAAO,CAAC,EAAEx7F,CAAC,EAAE,QAAQ7C,EAAE,MAAM,CAAC,MAAM8C,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOd,EAAE,QAAQc,GAAG9C,EAAE,8BAA8B8C,CAAC,CAAC,EAAED,CAAC,CAAC,IAAIizG,IAAG,CAAC,WAAW5zF,GAAG,YAAY,QAAQ,WAAW2zF,GAAG,EAAE,SAASE,IAAIj2G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,mBAAmBO,EAAE,kBAAkB,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,iBAAiB0B,CAAC,EAAE3B,EAAE4B,EAAE3B,EAAE,IAAIgH,GAAGrH,EAAE,SAASqH,EAAE,MAAM,CAAC,EAAEpF,EAAE5B,EAAE,IAAIgH,GAAGA,EAAE,KAAK,EAAE3E,EAAE1C,EAAE,SAAS,EAAE,MAAM,EAAE2C,EAAE3C,EAAE,SAAS,EAAE,MAAM,EAAE,CAAC4C,EAAEC,EAAEC,CAAC,EAAE61F,GAAG32F,EAAEC,EAAES,EAAE,EAAE,MAAM,EAAE,MAAMC,EAAE,EAAE,MAAMZ,CAAC,EAAEiC,EAAEpB,EAAE,IAAIyE,GAAGrH,EAAE,eAAe,CAACqH,EAAE,MAAM,EAAE,QAAQA,CAAC,CAAC,EAAE,EAAErH,EAAE,eAAe8C,EAAE,EAAE,MAAMD,CAAC,EAAE,OAAOmB,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIgyG,IAAG,CAAC,WAAW7zF,GAAG,YAAY,QAAQ,WAAW4zF,GAAG,EAAE,SAASE,IAAIn2G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,EAAE,OAAO,EAAE,aAAa,EAAE,oBAAoB0B,CAAC,EAAE,EAAE,CAAC,kBAAkBC,CAAC,EAAE5B,EAAE6B,EAAEjC,EAAE,SAASK,EAAE,MAAM,EAAEqC,EAAE1C,EAAE,SAAS,EAAE,MAAM,EAAE2C,EAAE3C,EAAE,SAAS,EAAE,MAAM,EAAE4C,EAAEb,EAAE,IAAI,GAAG/B,EAAE,SAAS,EAAE,MAAM,CAAC,EAAE6C,EAAEd,EAAE,IAAI,GAAG,EAAE,KAAK,EAAE,CAACe,EAAEkB,CAAC,EAAE40F,GAAG32F,EAAE5B,EAAE,MAAMqC,EAAE,EAAE,MAAM,EAAE,MAAMC,EAAE,EAAE,MAAMC,EAAEC,EAAEb,CAAC,EAAE,OAAOhC,EAAE,eAAe8C,EAAE,EAAE,MAAMkB,CAAC,CAAC,CAAC,IAAIkyG,IAAG,CAAC,WAAW9zF,GAAG,YAAY,QAAQ,WAAW6zF,GAAG,EAAME,GAAGr2G,GAAG,CAAC,GAAG,CAAC,QAAQ,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,MAAMM,EAAE,KAAKC,EAAE,KAAK,EAAE,MAAM,CAAC,EAAEL,EAAE+B,EAAE82F,GAAGz4F,EAAEC,EAAE,EAAE,CAAC,EAAE,OAAO,EAAE,eAAe,CAAC0B,EAAE,MAAM,EAAE,EAAEA,CAAC,CAAC,EAAEq0G,IAAG,CAAC,WAAW/zF,GAAG,YAAY,QAAQ,WAAW8zF,EAAE,EAAME,IAAI,kBAAkBC,IAAI3Y,GAAG,CAAC,UAAU0Y,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWh0F,GAAG,YAAY,QAAQ,WAAW+zF,GAAG,EAAME,IAAI1b,GAAG;AAAA;AAAA,EAE5lE2b,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUJC,IAAI/Y,GAAG,CAAC,UAAU6Y,IAAI,gBAAgBC,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWn0F,GAAG,YAAY,QAAQ,WAAWk0F,GAAG,EAAME,IAAI9b,GAAG;AAAA;AAAA,EAE7G+b,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUJC,IAAInZ,GAAG,CAAC,UAAUiZ,IAAI,gBAAgBC,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWj0F,GAAG,YAAY,QAAQ,WAAWg0F,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYp2G,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY,CAAC,EAAE,GAAG,CAACC,EAAEC,EAAEC,EAAE,CAAC,EAAEpB,EAAE,KAAK,YAAY,CAACkB,EAAE9B,EAAE,EAAE,CAAC,EAAE,IAAI0C,EAAE,CAACrC,GAAGL,EAAE,EAAE+B,EAAE,EAAEA,EAAE1B,GAAG,EAAE,EAAE2B,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC3B,GAAGL,EAAE,EAAEA,EAAE,EAAEA,EAAEK,GAAG,EAAE,EAAE,EAAE,EAAE,CAAC,EAAEuC,EAAEf,EAAEe,EAAE,wEAAwEA,EAAE,8CAA8C,KAAK,SAAS;AAAA;AAAA,YAE/ZF,EAAE,GAAG,EAAE;AAAA,YACPA,EAAE,GAAG,EAAE;AAAA,uCACoBX,QAAQC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCASZY;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAoB9B,CAAC,EAAMq0G,IAAG,KAAK,CAAC,YAAYr2G,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAY,CAAC,EAAE,GAAG,CAACC,EAAEC,EAAEC,EAAE,CAAC,EAAEpB,EAAE,KAAK,YAAY,CAACkB,EAAE9B,EAAE,EAAE,CAAC,EAAE,IAAI0C,EAAE,CAACrC,GAAGL,EAAE,EAAE+B,EAAE,EAAEA,EAAE1B,GAAG,EAAE,EAAE2B,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC3B,GAAGL,EAAE,EAAEA,EAAE,EAAEA,EAAEK,GAAG,EAAE,EAAE,EAAE,EAAE,CAAC,EAAEuC,EAAEf,EAAEe,EAAE,wEAAwEA,EAAE,8CAA8C,KAAK,SAAS;AAAA;AAAA,YAE7WF,EAAE,GAAG,EAAE;AAAA,YACPA,EAAE,GAAG,EAAE;AAAA,YACPA,EAAE,GAAG,EAAE;AAAA,uCACoBX,QAAQC;AAAA,uCACRA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCAcJY;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAQH,EAAE;AAAA,uCACK,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAgDpC,CAAC,EAAE,SAASs0G,IAAIp3G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,CAAC,EAAE,EAAE,CAAC,aAAa,EAAE,iBAAiB,EAAE,KAAK0B,CAAC,EAAE3B,EAAE,CAAC4B,EAAEC,CAAC,EAAEF,EAAEW,EAAE6X,EAAE,EAAE,QAAQ,6BAA6B,EAAE,IAAI08F,IAAG52G,EAAE,MAAM2B,EAAEC,EAAE,EAAE,CAAC,EAAE,IAAI+0G,IAAG32G,EAAE,MAAM2B,EAAEC,EAAE,EAAE,CAAC,EAAE,OAAOjC,EAAE,gBAAgB0C,EAAE,CAACrC,CAAC,EAAE,SAAS,CAAC,CAAC,IAAI82G,IAAG,CAAC,WAAWv0F,GAAG,YAAY,QAAQ,WAAWs0F,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYx2G,EAAEZ,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,YAAYA,EAAE,GAAG,CAAC,CAACK,EAAEwB,CAAC,EAAE7B,EAAE,CAAC,CAAC8B,EAAEC,CAAC,EAAEnB,EAAEoB,EAAE,CAAC,GAAGF,EAAE,EAAEzB,EAAE,EAAEA,EAAE,GAAG0B,EAAE,EAAEF,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC,GAAGC,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGC,EAAE,EAAEA,EAAE,EAAEA,CAAC,EAAEW,EAAEV,EAAE,GAAG,EAAE,GAAG,EAAEA,EAAE,GAAG,EAAE,GAAGY,EAAE,EAAEF,EAAEG,EAAE,EAAE,EAAEC,EAAE,KAAK,KAAKF,CAAC,EAAE,EAAE,EAAEoB,EAAE,KAAK,KAAKnB,CAAC,EAAE,EAAE,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0CAU7hBH;AAAA,yCACD;AAAA;AAAA,6CAEIE;AAAA,4CACDC;AAAA;AAAA,oCAERC;AAAA,mCACDkB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAcDlC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oCAQEC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,sDAMkB1B,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,qDAMHwB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KA8BlD,CAAC,EAAE,SAASw1G,IAAIv3G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,aAAa,CAAC,EAAED,EAAE2B,EAAE,IAAIq1G,IAAG,EAAE,MAAM/2G,EAAE,MAAM,CAAC,EAAE,OAAOL,EAAE,gBAAgB+B,EAAE,CAAC,CAAC,EAAE,EAAE,KAAK,CAAC,CAAC,IAAIu1G,IAAG,CAAC,WAAWz0F,GAAG,YAAY,QAAQ,WAAWw0F,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY32G,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY,CAAC,EAAE,GAAG,CAACC,EAAEC,EAAEC,EAAE,CAAC,EAAEpB,EAAE,KAAK,YAAY,CAACkB,EAAE9B,EAAE,EAAE,CAAC,EAAE,IAAI0C,EAAE,CAACrC,GAAGL,EAAE,EAAE+B,EAAE,EAAEA,EAAE1B,GAAG,EAAE,EAAE2B,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC3B,GAAGL,EAAE,EAAEA,EAAE,EAAEA,EAAEK,GAAG,EAAE,EAAE,EAAE,EAAE,CAAC,EAAEuC,EAAEvC,EAAE,MAAM,MAAMwC,EAAEhB,EAAEgB,EAAE,4EAA4EA,EAAE,8CAA8C,KAAK,SAAS;AAAA;AAAA,YAE5iBH,EAAE,GAAG,EAAE;AAAA,YACPA,EAAE,GAAG,EAAE;AAAA,uCACoBX,QAAQC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCASZa;AAAA;AAAA;AAAA;AAAA,8DAI2BD;AAAA;AAAA;AAAA;AAAA;AAAA,KAKzD,CAAC,EAAM40G,IAAG,KAAK,CAAC,YAAY52G,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAY,CAAC,EAAE,GAAG,CAACC,EAAEC,EAAEC,EAAE,CAAC,EAAEpB,EAAE,KAAK,YAAY,CAACkB,EAAE9B,EAAE,EAAE,CAAC,EAAE,IAAI0C,EAAE,CAACrC,GAAGL,EAAE,EAAE+B,EAAE,EAAEA,EAAE1B,GAAG,EAAE,EAAE2B,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC3B,GAAGL,EAAE,EAAEA,EAAE,EAAEA,EAAEK,GAAG,EAAE,EAAE,EAAE,EAAE,CAAC,EAAEuC,EAAEvC,EAAE,MAAM,MAAMwC,EAAEhB,EAAEgB,EAAE,4EAA4EA,EAAE,8CAA8C,KAAK,SAAS;AAAA;AAAA,YAEjYH,EAAE,GAAG,EAAE;AAAA,YACPA,EAAE,GAAG,EAAE;AAAA,YACPA,EAAE,GAAG,EAAE;AAAA,uCACoBX,QAAQC;AAAA,uCACRA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCAcJa;AAAA;AAAA;AAAA;AAAA,8DAI2BD;AAAA;AAAA;AAAA,gCAG9B,EAAE;AAAA,uCACK,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAapC,CAAC,EAAE,SAAS60G,IAAI33G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,CAAC,EAAE,EAAE,CAAC,aAAa,EAAE,iBAAiB,EAAE,KAAK0B,CAAC,EAAE3B,EAAE,CAAC4B,EAAEC,CAAC,EAAEF,EAAEW,EAAE6X,EAAE,EAAE,QAAQ,6BAA6B,EAAE,IAAIi9F,IAAGn3G,EAAE,MAAM2B,EAAEC,EAAE,EAAE,CAAC,EAAE,IAAIs1G,IAAGl3G,EAAE,MAAM2B,EAAEC,EAAE,EAAE,CAAC,EAAE,OAAOjC,EAAE,gBAAgB0C,EAAE,CAACrC,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAIq3G,IAAG,CAAC,WAAWh1F,GAAG,YAAY,QAAQ,WAAW+0F,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY/2G,EAAEZ,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,YAAYA,EAAE,GAAG,CAAC,CAACK,EAAEwB,CAAC,EAAE7B,EAAE,CAAC,CAAC8B,EAAEC,CAAC,EAAEnB,EAAEoB,EAAE,CAAC,GAAGF,EAAE,EAAEzB,EAAE,EAAEA,EAAE,GAAG0B,EAAE,EAAEF,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC,GAAGC,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGC,EAAE,EAAEA,EAAE,EAAEA,CAAC,EAAEW,EAAEV,EAAE,GAAG,EAAE,GAAG,EAAEA,EAAE,GAAG,EAAE,GAAGY,EAAE,EAAEF,EAAEG,EAAE,EAAE,EAAEC,EAAE,KAAK,KAAKF,CAAC,EAAE,EAAE,EAAEoB,EAAE,KAAK,KAAKnB,CAAC,EAAE,EAAE,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0CAU3hBH;AAAA,yCACD;AAAA;AAAA,6CAEIE;AAAA,4CACDC;AAAA;AAAA,oCAERC;AAAA,mCACDkB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAcDlC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oCAQEC;AAAA;AAAA;AAAA;AAAA;AAAA,sBAKdC,EAAE;AAAA,sCACc,EAAE;AAAA;AAAA;AAAA,wBAGhBA,EAAE;AAAA,wCACc,EAAE;AAAA;AAAA;AAAA,4BAGd3B;AAAA,kBACV;AAAA;AAAA;AAAA;AAAA,4BAIUwB;AAAA,kBACV;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAYb,CAAC,EAAE,SAAS+1G,IAAI93G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,aAAa,CAAC,EAAED,EAAE2B,EAAE,IAAI41G,IAAG,EAAE,MAAMt3G,EAAE,MAAM,CAAC,EAAE,OAAOL,EAAE,gBAAgB+B,EAAE,CAAC,CAAC,EAAE,EAAE,KAAK,CAAC,CAAC,IAAI81G,IAAG,CAAC,WAAWl1F,GAAG,YAAY,QAAQ,WAAWi1F,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYl3G,EAAEZ,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,IAAI,EAAEY,EAAE,OAAO,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,kCAAkC,+BAA+B,EAAE,GAAG,KAAK,YAAYA,EAAE,IAAI,EAAE,CAAC,KAAK,SAAS;AAAA;AAAA;AAAA,2BAG7YA,EAAE;AAAA;AAAA,QAErB,MAAM,CAAC,IAAIP,EAAE0B,GAAG/B,EAAE,QAAQ+B,CAAC,IAAI,IAAInB,EAAEmB,KAAK,EAAE,GAAGnB,EAAEmB,eAAeA,SAAS,UAAUA,KAAKF,EAAEjB,EAAE,IAAI,CAACmB,EAAEC,IAAI3B,EAAE2B,CAAC,CAAC,EAAE,KAAK,GAAG,EAAEF,EAAE8yF,GAAG,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA,UAE3I9yF;AAAA,yBACeD;AAAA;AAAA,KAEpB,CAAC,EAAMk2G,IAAG,KAAK,CAAC,YAAYn3G,EAAEZ,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,IAAI,EAAEY,EAAE,OAAO,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,kCAAkC,+BAA+B,EAAE,KAAK,YAAYA,EAAE,IAAIP,EAAE45F,GAAG,KAAK,CAAC,EAAEp4F,EAAE,GAAGxB,EAAE,EAAE,YAAY,KAAK,YAAY,EAAE,KAAKyB,EAAE,GAAGzB,EAAE,EAAE,YAAY,KAAK,YAAY,EAAE,KAAK0B,EAAE6yF,GAAG,CAAC,EAAE,IAAI,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA,uCAIrUh0F,EAAE;AAAA,cAC3BA,EAAE;AAAA,eACDiB;AAAA,2CAC4BjB,EAAE;AAAA,kBAC3BA,EAAE;AAAA;AAAA;AAAA;AAAA,QAIZ,KAAK,SAAS;AAAA;AAAA,YAEVmB;AAAA;AAAA,uBAEWC,EAAE3B,EAAE,MAAM,CAAC;AAAA,eACnBwB;AAAA,yBACU,EAAExB,EAAE,MAAM,CAAC;AAAA;AAAA,eAErByB;AAAA,yBACUY,EAAErC,EAAE,MAAM,CAAC;AAAA,iBACnBwB;AAAA,2BACU,EAAExB,EAAE,MAAM,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA,MAKhC,SAAS2B,EAAEc,EAAE,CAAC,OAAOF,EAAEE,CAAC,CAAC,CAAC,SAAS,EAAEA,EAAE,CAAC,OAAOA,EAAE,EAAE,GAAG,IAAIA,EAAE,EAAE,GAAG,QAAQF,EAAEE,CAAC,CAAC,CAAC,SAASJ,EAAEI,EAAE,CAAC,OAAOA,EAAE,EAAE,GAAG,IAAIA,EAAE,EAAE,GAAG,QAAQF,EAAEE,CAAC,CAAC,CAAC,SAAS,EAAEA,EAAE,CAAC,OAAOA,EAAE,EAAE,GAAG,IAAIA,EAAE,EAAE,GAAG,QAAQA,EAAE,EAAE,GAAG,IAAIA,EAAE,EAAE,GAAG,QAAQF,EAAEE,CAAC,CAAC,CAAC,SAASF,EAAEE,EAAE,CAAC,IAAIkB,EAAEpD,EAAE,IAAI,CAAC,EAAE6D,IAAI5B,EAAE4B,EAAE3B,CAAC,CAAC,EAAEmB,EAAED,EAAE,KAAK,GAAG,EAAEqD,EAAErD,EAAE,MAAM,EAAE,EAAE,KAAK,GAAG,EAAE,MAAM,mBAAmBC,YAAYoD,KAAK,CAAC,SAASxE,EAAEC,EAAEkB,EAAE,CAAC,OAAOhE,EAAE,QAAQ8C,CAAC,IAAI,IAAIlC,EAAEkC,KAAK,EAAE,GAAGlC,EAAEkC,QAAQkB,EAAElB,SAAS,GAAGkB,EAAElB,IAAI,CAAC,CAAC,EAAE,SAASk1G,IAAIl4G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAEC,EAAE,MAAM,OAAO0B,EAAE4kB,EAAE,eAAe,EAAEtmB,EAAE,KAAK,EAAE,GAAG,IAAI,EAAE,OAAOy8F,GAAG,CAAC,OAAO,CAAC,EAAEz8F,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,IAAIgC,EAAEuY,EAAE,EAAE,QAAQ,6BAA6B,EAAE,IAAIw9F,IAAG13G,EAAE,MAAM0B,CAAC,EAAE,IAAI+1G,IAAGz3G,EAAE,MAAM0B,CAAC,EAAE,OAAO/B,EAAE,gBAAgBgC,EAAE,CAAC3B,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAI43G,IAAG,CAAC,WAAWl1F,GAAG,YAAY,QAAQ,WAAWi1F,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYt3G,EAAEZ,EAAE,CAAC,KAAK,cAAc,CAAC,OAAO,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,SAAS,KAAK,MAAM,CAAC,EAAE,IAAI,EAAEY,EAAE,GAAGP,EAAEO,EAAE,GAAG,KAAK,YAAYA,EAAE,IAAIiB,EAAE,GAAG,OAAO7B,GAAG,SAAS6B,EAAE,uBAAuB7B,EAAE,QAAQ,CAAC,KAAK6B,EAAE;AAAA,2BACl9B7B,EAAE,KAAK,GAAG;AAAA,8CACS,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAWhD6B;AAAA,uCAC2BxB,gCAAgC;AAAA;AAAA;AAAA;AAAA;AAAA,KAKlE,CAAC,EAAM83G,IAAG,CAAC,WAAWzyF,GAAG,YAAY,QAAQ,WAAW,CAAC,CAAC,OAAO5lB,EAAE,MAAM,EAAE,QAAQE,CAAC,IAAI,CAAC,GAAG,CAAC,MAAMI,CAAC,EAAEN,EAAE,CAAC,QAAQO,EAAE,UAAU,EAAE,OAAO,CAAC,EAAE,EAAE0B,EAAE/B,EAAEgC,EAAE,IAAIk2G,IAAG93G,EAAE,MAAM,CAAC,EAAE,CAAC6B,EAAES,CAAC,EAAEy3C,EAAE,eAAe,EAAE/5C,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,EAAEuC,EAAE,CAAC,CAACV,EAAES,EAAE,KAAK,IAAIrC,CAAC,EAAE,KAAK,IAAIA,CAAC,CAAC,CAAC,EAAE,OAAO0B,EAAE,gBAAgBC,EAAE,CAAC5B,CAAC,EAAEA,EAAE,MAAMuC,CAAC,CAAC,CAAC,EAAMy1G,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAe5SC,IAAI1a,GAAG,CAAC,UAAUya,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWt1F,GAAG,YAAY,QAAQ,WAAWq1F,GAAG,EAAME,IAAI,yBAAyBC,IAAI7a,GAAG,CAAC,UAAU4a,IAAI,cAAczf,EAAE,CAAC,EAAE2f,IAAG,CAAC,WAAWx1F,GAAG,YAAY,QAAQ,WAAWu1F,GAAG,EAAME,GAAG,KAAK,CAAC,YAAY93G,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAEC,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,UAAU,UAAU,cAAc,EAAE,KAAK,YAAYD,EAAE,IAAIE,EAAE4yF,GAAG/yF,EAAE,MAAM,EAAE,EAAE+yF,GAAG9yF,EAAE,MAAM,EAAEY,EAAE,GAAG,IAAI,EAAEA,EAAE,IAAI,IAAI,IAAIA,EAAE,QAAQ,IAAI,EAAE,cAAcA,KAAKE,EAAE,GAAGvC,IAAI,EAAEuC,EAAE,IAAIvC,IAAI,IAAIuC,EAAE,gBAAgB,IAAIC,EAAE,cAAcD,KAAKE,EAAE9C,EAAE,EAAE,aAAa,UAAU,KAAK,SAAS;AAAA,UACzgBgC,eAAeA,KAAKH;AAAA;AAAA;AAAA,YAGlB;AAAA;AAAA;AAAA,gCAGoBjB;AAAA;AAAA,kCAEEZ;AAAA,kCACA;AAAA,0CACQ8C;AAAA;AAAA;AAAA,uBAGnBD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,OAMhB,CAAC,EAAE,SAAS81G,IAAI74G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,QAAQO,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE,CAAC,UAAU2B,EAAE,WAAWC,EAAE,UAAUC,EAAE,QAAQS,EAAE,WAAWC,CAAC,EAAEw3C,EAAE,gBAAgB,EAAE95C,EAAE,CAAC,EAAEuC,EAAE,CAACD,EAAEV,EAAEA,CAAC,EAAE,GAAGU,IAAI,EAAE,OAAO3C,EAAE,eAAe,EAAEK,EAAE,KAAK,EAAE,IAAIwC,EAAEw7F,GAAG,CAAC,OAAO,CAAC,EAAEh+F,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM,CAACgC,EAAED,CAAC,CAAC,CAAC,CAAC,EAAEe,EAAEu7F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQr+F,EAAE,MAAM,CAAC,MAAM,CAACgC,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAE+B,EAAEhE,EAAE,eAAe,CAAC,EAAE,UAAU,IAAI,aAAa,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE,IAAI04G,GAAG12G,EAAED,EAAEc,EAAE,MAAM,OAAOC,EAAE,MAAM,OAAOJ,EAAEE,CAAC,EAAEyE,EAAErH,EAAE,gBAAgB,EAAE,CAAC8C,EAAED,EAAEmB,CAAC,EAAElB,EAAE,KAAK,EAAE+B,EAAEw5F,GAAG,CAAC,OAAO,CAAC,EAAAh3F,CAAC,EAAE,QAAQrH,EAAE,MAAM,CAAC,MAAM,CAAC,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B6C,CAAC,EAAE7C,EAAE,8BAA8B8C,CAAC,EAAE9C,EAAE,8BAA8BqH,CAAC,EAAErH,EAAE,8BAA8BgE,CAAC,EAAEa,CAAC,CAAC,IAAI+zG,IAAG,CAAC,WAAW11F,GAAG,YAAY,QAAQ,WAAWy1F,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYj4G,EAAEZ,EAAE,EAAEK,EAAE,CAAC,KAAK,cAAc,CAAC,iBAAiB,QAAQ,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,YAAY,KAAK,KAAK,CAAC,EAAE,KAAK,YAAY,CAACO,EAAE,CAAC,EAAE,IAAIiB,EAAE,yBAAyBC,EAAE,uBAAuB,KAAK,KAAK,KAAK,KAAK9B,EAAE,CAAC,CAAC,sCAAsC+B,EAAEwY,EAAE,EAAE,UAAU,eAAe,IAAI,EAAE1Y,EAAEC,EAAEE,EAAE3B,IAAI,OAAO,IAAI,KAAK,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA,WAKrjC0B;AAAA;AAAA,+CAEoCC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAkBzC,CAAC,EAAE,SAAS82G,IAAIh5G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,eAAeO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE2B,EAAE,IAAI82G,IAAGx4G,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,CAAC,EAAE2B,EAAE,CAAC,CAAC3B,EAAE,MAAM,EAAE,CAAC,EAAE,OAAOL,EAAE,gBAAgB+B,EAAE,CAAC1B,EAAE,CAAC,EAAE,QAAQ2B,CAAC,CAAC,CAAC,IAAI+2G,IAAG,CAAC,WAAW51F,GAAG,YAAY,QAAQ,WAAW21F,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYp4G,EAAEZ,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,IAAI,GAAG,EAAE,KAAK,YAAYA,EAAE,IAAIK,EAAEwB,EAAE,GAAG,EAAE,EAAE,MAAM,MAAM,kBAAkB,wBAAwB,EAAE,GAAG,IAAI,EAAEA,EAAE,QAAQxB,EAAE,YAAY,CAAC,IAAI0B,EAAE,CAAC,UAAU,UAAU,UAAU,SAAS,EAAEC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQU,EAAE,EAAEA,EAAE1C,EAAE,OAAO0C,IAAI,EAAE,KAAK,GAAGX,EAAEW,IAAI,EAAEA,EAAE9B,GAAGoB,EAAE,KAAK,GAAGD,EAAEW,IAAI,EAAErC,EAAE2B,EAAE,KAAK,EAAEH,EAAE,EAAE,KAAK,CAAC,CAAC,IAAIC,EAAE8yF,GAAG,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA,UAEzmB9yF;AAAA,4BACkBzB;AAAA;AAAA,2BAEDwB;AAAA;AAAA,2BAEAA;AAAA;AAAA;AAAA,KAGtB,CAAC,EAAE,SAASo3G,IAAIn5G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,UAAUM,EAAE,EAAEC,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE,IAAI24G,IAAG54G,EAAE,MAAM,OAAOC,EAAE,MAAMA,EAAE,MAAM,MAAM,EAAE,OAAOL,EAAE,gBAAgB,EAAE,CAACI,EAAEC,EAAE,CAAC,EAAEmqB,GAAGnqB,EAAE,MAAM,EAAE,KAAK,CAAC,CAAC,CAAC,IAAI64G,IAAG,CAAC,WAAW91F,GAAG,YAAY,QAAQ,WAAW61F,GAAG,EAAME,IAAI;AAAA;AAAA;AAAA,uBAG7Nh/D,EAAE;AAAA,kBACPA,EAAE;AAAA;AAAA,EAElBi/D,IAAIzb,GAAG,CAAC,UAAUwb,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWh2F,GAAG,YAAY,QAAQ,WAAW+1F,GAAG,EAAME,IAAI5b,GAAG;AAAA;AAAA,EAEzF6b,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUJC,IAAI7b,GAAG,CAAC,UAAU2b,IAAI,gBAAgBC,IAAI,cAAcvgB,EAAE,CAAC,EAAEygB,IAAG,CAAC,WAAW/1F,GAAG,YAAY,QAAQ,WAAW81F,GAAG,EAAME,IAAI;AAAA;AAAA;AAAA,EAG3HC,IAAIhc,GAAG,CAAC,UAAU+b,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWn2F,GAAG,YAAY,QAAQ,WAAWk2F,GAAG,EAAME,IAAInc,GAAG;AAAA;AAAA,EAEzFoc,IAAInc,GAAG,CAAC,UAAUkc,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWx2F,GAAG,YAAY,QAAQ,WAAWu2F,GAAG,EAAME,IAAI;AAAA;AAAA;AAAA,EAGtFC,IAAItc,GAAG,CAAC,UAAUqc,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW12F,GAAG,YAAY,QAAQ,WAAWy2F,GAAG,EAAME,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAoBtFC,IAAIzc,GAAG,CAAC,UAAUwc,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW12F,GAAG,YAAY,QAAQ,WAAWy2F,GAAG,EAAME,IAAIx6G,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,SAAS,CAAC,EAAED,EAAEumB,EAAE,OAAOtmB,EAAE,MAAM,QAAQ,EAAE,IAAI,sEAAsE,EAAE,IAAI0B,EAAE,EAAE,OAAO,CAACsF,EAAExC,IAAIwC,EAAExC,CAAC,EAAE7C,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAEA,EAAE,KAAK,GAAG,CAAC,EAAE,QAAQqF,EAAE,EAAE,EAAE,OAAOA,EAAEhH,EAAE,MAAM,OAAO,EAAEgH,EAAErF,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAES,EAAE6yG,GAAG,CAAC,OAAO,CAAC,EAAEl1G,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,SAASgC,EAAE,cAAc,CAAC,CAAC,CAAC,EAAEW,EAAEw3C,EAAE,YAAYz3C,EAAE,MAAM,EAAEX,EAAE,EAAE,EAAEa,EAAEu3C,EAAE,YAAYx3C,EAAE,OAAO,EAAE,OAAO,EAAE,EAAEE,EAAEs3C,EAAE,oBAAoBz3C,EAAE,MAAM,EAAEX,EAAE,EAAE,EAAEe,EAAEu7F,GAAG,CAAC,OAAO,CAAC,EAAE37F,CAAC,EAAE,QAAQ1C,EAAE,MAAM,CAAC,MAAM2C,CAAC,CAAC,CAAC,EAAEqB,EAAEk7F,GAAG,CAAC,OAAO,CAAC,EAAEp8F,CAAC,EAAE,QAAQ9C,EAAE,MAAM,CAAC,KAAK4C,CAAC,CAAC,CAAC,EAAE,EAAEy7F,GAAG,CAAC,OAAO,CAAC,EAAEr6F,CAAC,EAAE,QAAQhE,EAAE,MAAM,CAAC,MAAM6C,CAAC,CAAC,CAAC,EAAE,OAAOZ,EAAE,KAAKS,CAAC,EAAET,EAAE,KAAKa,CAAC,EAAEb,EAAE,KAAK+B,CAAC,EAAE/B,EAAE,QAAQoF,GAAGrH,EAAE,8BAA8BqH,CAAC,CAAC,EAAE,CAAC,EAAEkzG,IAAG,CAAC,WAAWz2F,GAAG,YAAY,QAAQ,WAAWw2F,GAAG,EAAE,SAASE,IAAI16G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,QAAQM,EAAE,OAAOC,EAAE,WAAW,EAAE,aAAa,CAAC,EAAE,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,WAC/7B,EAAE,OAAO,EAAE,GAAGD,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,WACjDA,EAAE,OAAO,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,WACjDA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UAClD,EAAE,OAAO,EAAE,IAAI0B,EAAE/B,EAAE,SAASI,EAAE,MAAM,EAAE4B,EAAEhC,EAAE,SAASK,EAAE,MAAM,EAAE4B,EAAEjC,EAAE,SAAS,EAAE,MAAM,EAAE0C,EAAE1C,EAAE,SAAS,EAAE,MAAM,EAAE,GAAG,CAAC2C,EAAEC,EAAEC,EAAEC,EAAEkB,CAAC,EAAEm1F,GAAGp3F,EAAE3B,EAAE,MAAMA,EAAE,MAAM4B,EAAE3B,EAAE,MAAM4B,EAAES,CAAC,EAAE,MAAM,CAAC1C,EAAE,eAAe4C,EAAExC,EAAE,MAAMuC,CAAC,EAAE3C,EAAE,eAAe,CAAC4C,EAAE,EAAE,EAAEvC,EAAE,MAAMwC,CAAC,EAAE7C,EAAE,eAAe,CAAC8C,EAAE,MAAM,EAAE,OAAO,IAAI,WAAWA,EAAE,IAAI,GAAG,OAAO,CAAC,CAAC,CAAC,CAAC,EAAE9C,EAAE,eAAe,CAACgE,EAAE,MAAM,EAAE5D,EAAE,MAAM,IAAI,WAAW4D,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIy2G,IAAG,CAAC,WAAWx2F,GAAG,YAAY,QAAQ,WAAWu2F,GAAG,EAAE,SAASE,IAAI56G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,aAAaM,EAAE,WAAWC,EAAE,SAAS,CAAC,EAAE,EAAE,GAAGD,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,uDAAuDA,EAAE,OAAO,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,qDAAqDA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,sDAAsD,EAAE,OAAO,EAAE,IAAI,EAAE,MAAM,KAAKL,EAAE,SAASK,EAAE,MAAM,CAAC,EAAE0B,EAAE/B,EAAE,SAASI,EAAE,MAAM,EAAE4B,EAAE,MAAM,KAAKhC,EAAE,SAAS,EAAE,MAAM,CAAC,EAAE,CAACiC,EAAES,EAAEC,CAAC,EAAEy2F,GAAGr3F,EAAE3B,EAAE,MAAMA,EAAE,MAAM,EAAE4B,CAAC,EAAE,MAAM,CAAChC,EAAE,eAAe0C,EAAEtC,EAAE,MAAM6B,CAAC,EAAEjC,EAAE,eAAe,CAAC2C,EAAE,MAAM,EAAE,EAAE,MAAM,IAAI,WAAWA,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIg4G,IAAG,CAAC,WAAWz2F,GAAG,YAAY,QAAQ,WAAWw2F,GAAG,EAAE,SAASE,IAAI96G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,KAAKM,EAAE,QAAQC,EAAE,WAAW,CAAC,EAAE,EAAE,GAAGD,EAAE,MAAM,OAAO,EAAE,MAAM,IAAI,MAAM,2DAA2D,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,gBACjxCA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,gBACjD,EAAE,OAAO,EAAE,IAAI,EAAEL,EAAE,SAASI,EAAE,MAAM,EAAE2B,EAAE/B,EAAE,SAASK,EAAE,MAAM,EAAE2B,EAAEhC,EAAE,SAAS,EAAE,MAAM,EAAE,CAACiC,EAAES,CAAC,EAAE22F,GAAG,EAAEj5F,EAAE,MAAMA,EAAE,MAAM2B,EAAEC,EAAE,EAAE,EAAE,OAAOhC,EAAE,eAAe0C,EAAEtC,EAAE,MAAM6B,CAAC,CAAC,CAAC,IAAI44G,IAAG,CAAC,WAAW12F,GAAG,YAAY,QAAQ,WAAWy2F,GAAG,EAAE,SAASE,IAAIh7G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,KAAKM,EAAE,QAAQC,EAAE,WAAW,CAAC,EAAE,EAAE,GAAGD,EAAE,MAAM,OAAO,EAAE,MAAM,IAAI,MAAM,2DAA2D,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,eAC1aA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,eACjD,EAAE,OAAO,EAAE,IAAI,EAAEL,EAAE,SAASI,EAAE,MAAM,EAAE2B,EAAE/B,EAAE,SAASK,EAAE,MAAM,EAAE2B,EAAEhC,EAAE,SAAS,EAAE,MAAM,EAAE,CAACiC,EAAES,CAAC,EAAE22F,GAAG,EAAEj5F,EAAE,MAAMA,EAAE,MAAM2B,EAAEC,CAAC,EAAE,OAAOhC,EAAE,eAAe0C,EAAEtC,EAAE,MAAM6B,CAAC,CAAC,CAAC,IAAI84G,IAAG,CAAC,WAAW32F,GAAG,YAAY,QAAQ,WAAW02F,GAAG,EAAE,SAASE,IAAIl7G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,cAAcO,EAAE,aAAa,EAAE,aAAa,CAAC,EAAE,EAAE,CAAC,YAAY0B,CAAC,EAAE3B,EAAE,CAAC,UAAU4B,EAAE,WAAWC,EAAE,UAAUS,EAAE,QAAQC,EAAE,WAAWC,CAAC,EAAEu3C,EAAE,gBAAgB,EAAE95C,EAAE0B,CAAC,EAAEc,EAAE,GAAG,GAAG,EAAE,QAAQ,SAAS,CAAC,IAAIwE,EAAErH,EAAE,WAAWK,CAAC,EAAEwE,EAAE7E,EAAE,WAAW,CAAC,EAAEyE,EAAEkiB,EAAE,aAAa3mB,EAAE,SAAS,EAAE,MAAM,EAAE,EAAE,EAAE0E,EAAEq0F,GAAG1xF,EAAExC,EAAE9C,EAAEa,EAAEF,EAAET,EAAED,EAAEW,EAAE8B,EAAE5B,CAAC,EAAE,OAAO7C,EAAE,eAAe+B,EAAE2C,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAI5B,EAAE,IAAI41G,GAAGz2G,EAAED,EAAE3B,EAAE,MAAM,OAAO,EAAE,MAAM,OAAOsC,EAAE,CAACC,EAAE,CAAC,EAAEC,CAAC,EAAEmB,EAAEhE,EAAE,gBAAgB8C,EAAE,CAAC,EAAEzC,EAAE,CAAC,EAAE,EAAE,KAAK,EAAE,EAAEg+F,GAAG,CAAC,OAAO,CAAC,EAAEr6F,CAAC,EAAE,QAAQhE,EAAE,MAAM,CAAC,MAAM+B,CAAC,CAAC,CAAC,EAAE,OAAO/B,EAAE,8BAA8BgE,CAAC,EAAE,CAAC,CAAC,IAAIi3G,IAAG,CAAC,WAAW52F,GAAG,YAAY,QAAQ,WAAW22F,GAAG,EAAE,SAASE,IAAIp7G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,gBAAgB,EAAE,KAAK,CAAC,EAAED,EAAE2B,EAAE4kB,EAAE,eAAe,EAAEtmB,EAAE,KAAK,EAAE,GAAG2B,EAAEm4C,EAAE,iBAAiB95C,EAAE,EAAE0B,CAAC,EAAEE,EAAE5B,EAAE,MAAM,OAAOqC,EAAE,IAAI,MAAMT,CAAC,EAAE,KAAK,CAAC,EAAEU,EAAEtC,EAAE,MAAM,MAAM,EAAE,OAAO2B,EAAE,IAAIY,GAAG,CAAC,IAAIC,EAAE,CAAC,GAAGF,CAAC,EAAEE,EAAEd,GAAGa,EAAE,IAAIE,EAAE8gG,GAAG,CAAC,OAAO,CAAC,EAAEvjG,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM0C,EAAE,KAAKG,CAAC,CAAC,CAAC,EAAE,OAAOH,EAAEX,IAAIa,EAAEE,CAAC,CAAC,CAAC,CAAC,IAAIq4G,IAAG,CAAC,WAAWp3F,GAAG,YAAY,QAAQ,WAAWm3F,GAAG,EAAME,GAAG,kBAAkBC,IAAI1d,GAAG,CAAC,UAAUyd,GAAG,gBAAgBA,GAAG,cAAc9hB,EAAE,CAAC,EAAEgiB,IAAG,CAAC,WAAW13F,GAAG,YAAY,QAAQ,WAAWy3F,GAAG,EAAME,IAAI,gBAAgBC,IAAI7d,GAAG,CAAC,UAAU4d,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWl3F,GAAG,YAAY,QAAQ,WAAWi3F,GAAG,EAAME,GAAG,4BAA4BC,IAAI/d,GAAG,CAAC,UAAU8d,GAAG,gBAAgBA,EAAE,CAAC,EAAEE,IAAG,CAAC,WAAWt3F,GAAG,YAAY,QAAQ,WAAWq3F,GAAG,EAAE,SAASE,IAAI,CAAC,OAAO/7G,EAAE,MAAM,EAAE,QAAQE,CAAC,EAAE,CAAC,GAAG,CAAC,EAAEI,CAAC,EAAEN,EAAEO,EAAEy6F,GAAG;AAAA,mCAC9lD,EAAE;AAAA,IACjC,EAAE,IAAID,GAAGz6F,EAAE,MAAMC,CAAC,EAAE,OAAOL,EAAE,gBAAgB,EAAE,CAACI,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAI07G,IAAG,CAAC,WAAWt2F,GAAG,YAAY,QAAQ,WAAWq2F,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYn7G,EAAEZ,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY,EAAE,IAAIK,EAAE,EAAE,OAAOwB,EAAE+yF,GAAG,EAAE,MAAM,EAAE9yF,EAAE8yF,GAAG,EAAE,MAAM,EAAE7yF,EAAE,GAAG,GAAG1B,IAAI,EAAE0B,EAAE,+BAA+B,CAAC,IAAIC,EAAE,EAAED,EAAE,EAAE,IAAI,CAAC,EAAEW,KAAKV,IAAI,EAAE,SAAS,EAAE,oBAAoBU,cAAcA,KAAK,UAAUV,EAAE,gBAAgBU,cAAcA,KAAK,EAAE,KAAK,GAAG,CAAC,CAAC,KAAK,SAAS;AAAA,QACpbb,aAAaA,KAAKjB;AAAA,QAClBiB,eAAeA,KAAK7B;AAAA;AAAA;AAAA,UAGlB8B;AAAA,yBACeC;AAAA;AAAA,KAEpB,CAAC,EAAE,SAASi6G,IAAIl8G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,QAAQ0B,EAAE,UAAUC,EAAE,QAAQC,EAAE,aAAaS,EAAE,YAAYC,EAAE,eAAeC,CAAC,EAAExC,EAAE,CAAC,iBAAiByC,EAAE,WAAWC,EAAE,WAAWkB,EAAE,UAAU,EAAE,cAAcqD,EAAE,MAAMxC,EAAE,IAAIJ,EAAE,QAAQC,CAAC,EAAEuxB,GAAG,UAAU51B,EAAE,MAAM,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAEC,EAAEC,CAAC,EAAE+B,EAAE,GAAGX,EAAEW,EAAE05F,GAAG,CAAC,OAAO,CAAC,EAAEh+F,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM8C,CAAC,CAAC,CAAC,UAAU,GAAGuE,EAAE,CAACsf,EAAE,OAAOtmB,EAAE,MAAM,QAAQ,EAAE,IAAI,yCAAyCA,EAAE,MAAM,QAAQ,EAAE,IAAIiH,EAAE2uB,GAAG,gBAAgBpxB,EAAEJ,EAAEC,CAAC,EAAEI,EAAE8+F,GAAG,CAAC,OAAO,CAAC,EAAEvjG,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM6E,EAAE,KAAKyC,CAAC,CAAC,CAAC,EAAE3C,EAAE05F,GAAG,CAAC,OAAO,CAAC,EAAEv5F,CAAC,EAAE,QAAQ9E,EAAE,MAAM,CAAC,MAAM8C,CAAC,CAAC,CAAC,EAAE9C,EAAE,8BAA8B8E,CAAC,CAAC,SAAS9E,EAAE,mBAAmB,CAACK,CAAC,CAAC,EAAE,CAAC,IAAIyE,EAAE9E,EAAE,SAASK,EAAE,MAAM,EAAEkH,EAAE6oB,GAAG/vB,EAAE,MAAMA,EAAE,MAAMyE,CAAC,EAAEC,EAAEw0F,GAAG12F,EAAE0E,EAAE7C,EAAEG,CAAC,EAAEF,EAAE3E,EAAE,eAAe8C,EAAEzC,EAAE,MAAM0E,EAAE,MAAM,CAAC,KAAK,CAAC,IAAID,EAAE,IAAIi3G,IAAGl3G,EAAEH,EAAE7B,CAAC,EAAE8B,EAAE3E,EAAE,gBAAgB8E,EAAE,CAACzE,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAIuE,EAAEy5F,GAAG,CAAC,OAAO,CAAC,EAAE15F,CAAC,EAAE,QAAQ3E,EAAE,MAAM,CAAC,MAAM8C,CAAC,CAAC,CAAC,EAAE,OAAO9C,EAAE,8BAA8B2E,CAAC,EAAEC,CAAC,CAAC,IAAIq3G,IAAG,CAAC,WAAWz3F,GAAG,YAAY,QAAQ,WAAWw3F,GAAG,EAAE,SAASE,IAAIp8G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,UAAUO,EAAE,YAAY,EAAE,QAAQ,EAAE,SAAS0B,EAAE,SAASC,EAAE,uBAAuBC,CAAC,EAAE7B,EAAE,CAAC,KAAKsC,EAAE,WAAWC,CAAC,EAAE,EAAEC,EAAE5C,EAAE,SAAS0C,EAAE,MAAM,EAAEG,EAAE7C,EAAE,SAAS2C,EAAE,MAAM,EAAE,CAACG,EAAEkB,CAAC,EAAEw1F,GAAG52F,EAAEC,EAAExC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,CAAC,EAAE,MAAM,CAACjC,EAAE,eAAe,CAAC8C,EAAE,MAAM,EAAE,SAASA,CAAC,EAAE9C,EAAE,eAAe2C,EAAE,MAAM,QAAQqB,CAAC,CAAC,CAAC,CAAC,IAAIm4G,IAAG,CAAC,WAAW13F,GAAG,YAAY,QAAQ,WAAWy3F,GAAG,EAAE,SAASE,IAAIt8G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,UAAUO,CAAC,EAAED,EAAE,CAAC,MAAM,EAAE,UAAU,CAAC,EAAE,EAAE,GAAG,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,kCAAkC,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,sCAAsC,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,0CAA0C,EAAE,OAAO,EAAE,IAAI2B,EAAE/B,EAAE,SAAS,EAAE,MAAM,EAAEgC,EAAEhC,EAAE,SAAS,EAAE,MAAM,EAAE,GAAG,CAACiC,EAAES,EAAEC,CAAC,EAAE82F,GAAG13F,EAAEC,EAAE3B,CAAC,EAAEuC,EAAEF,EAAE,OAAO,MAAM,CAAC1C,EAAE,eAAe,CAAC4C,EAAE,CAAC,EAAE,QAAQX,CAAC,EAAEjC,EAAE,eAAe,CAAC4C,CAAC,EAAE,SAASF,CAAC,EAAE1C,EAAE,eAAe,CAAC,CAAC,EAAE,QAAQ,IAAI,WAAW2C,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI05G,IAAG,CAAC,WAAW33F,GAAG,YAAY,QAAQ,WAAW03F,GAAG,EAAE,SAASE,IAAIx8G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,WAAWO,CAAC,EAAED,EAAE,CAAC,MAAM,CAAC,EAAE,EAAE,GAAG,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,kCAAkC,EAAE,GAAGC,GAAG,EAAE,MAAM,IAAI,MAAM,sCAAsC,EAAE,IAAI,EAAEL,EAAE,SAAS,EAAE,MAAM,EAAE+B,EAAE23F,GAAG,EAAEr5F,CAAC,EAAE,OAAOL,EAAE,eAAe,EAAE,MAAM,QAAQ+B,CAAC,CAAC,CAAC,IAAIw6G,IAAG,CAAC,WAAW53F,GAAG,YAAY,QAAQ,WAAW23F,GAAG,EAAME,IAAI,iBAAiBC,IAAI9e,GAAG,CAAC,UAAU6e,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW73F,GAAG,YAAY,QAAQ,WAAW43F,GAAG,EAAME,IAAI;AAAA;AAAA;AAAA,EAGr3EC,IAAIjf,GAAG,CAAC,UAAUgf,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW/3F,GAAG,YAAY,QAAQ,WAAW83F,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYl8G,EAAEZ,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,IAAI,EAAE,IAAI,MAAMY,EAAE,MAAM,EAAE,QAAQkB,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,EAAEA,GAAGlB,EAAEkB,GAAG9B,EAAE8B,GAAG,KAAK,YAAY,EAAE,KAAK,KAAK,EAAE,OAAO,IAAIzB,EAAEu0F,GAAG,KAAK,IAAI,EAAE/yF,EAAEk7G,IAAIn8G,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA,UAElRP;AAAA,yBACewB;AAAA;AAAA,KAEpB,CAAC,EAAE,SAASk7G,IAAIj9G,EAAE,CAAC,IAAI,EAAEA,EAAE,OAAO,GAAG,EAAE,EAAE,MAAM,MAAM,iBAAiB,wBAAwB,EAAE,GAAG,IAAI,EAAE,MAAM,eAAeA,EAAE,MAAM,IAAIE,EAAE,CAAC,UAAU,UAAU,UAAU,UAAU,SAAS,EAAEI,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEP,EAAE,OAAOO,IAAID,EAAE,KAAK,QAAQJ,EAAEK,OAAOP,EAAEO,KAAK,EAAE,OAAOD,EAAE,KAAK,CAAC,CAAC,SAAS48G,GAAGl9G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,GAAGC,EAAE,QAAQ,UAAUA,EAAE,MAAM,OAAO,EAAE,CAAC,IAAI2B,EAAEhC,EAAE,SAASK,EAAE,MAAM,EAAE,EAAEA,EAAE,QAAQ,SAAS2B,EAAE,IAAIY,GAAG+jB,EAAE,aAAa/jB,CAAC,CAAC,EAAEZ,EAAEU,EAAE0tB,GAAG/vB,EAAE,MAAMA,EAAE,MAAM,CAAC,EAAE,EAAEu5F,GAAGl3F,EAAE,CAAC,EAAE,OAAO1C,EAAE,eAAe,EAAE,MAAM,EAAE,MAAM,EAAE,MAAM,CAAC,CAAC,IAAI,EAAE,IAAI88G,IAAGz8G,EAAE,MAAM,CAAC,EAAE,OAAOL,EAAE,gBAAgB,EAAE,CAACK,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAI48G,IAAG,CAAC,WAAWl4F,GAAG,YAAY,QAAQ,WAAWi4F,EAAE,EAAME,IAAG,KAAK,CAAC,YAAYt8G,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,SAAS,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,IAAI,KAAK,KAAK,EAAE,CAAC,KAAK,YAAY,KAAK,KAAK,EAAE,CAAC,KAAK,cAAc,KAAK,OAAO,EAAE,CAAC,KAAK,MAAM,KAAK,KAAK,EAAE,CAAC,KAAK,MAAM,KAAK,KAAK,CAAC,EAAE,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAwCp5B,CAAC,EAAEu8G,IAAG,KAAK,CAAC,YAAYv8G,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,SAAS,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,IAAI,KAAK,KAAK,EAAE,CAAC,KAAK,YAAY,KAAK,KAAK,EAAE,CAAC,KAAK,IAAI,KAAK,KAAK,CAAC,EAAE,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAkC/L,CAAC,EAAE,SAASw8G,GAAGt9G,EAAE,EAAE,CAAC,IAAI,MAAMA,EAAE,8BAA8B,CAAC,CAAC,CAAC,SAASu9G,GAAGv9G,EAAE,CAAC,IAAI,EAAE,EAAE,KAAK,EAAEA,GAAG,GAAG,EAAE,OAAO,CAAC,CAAC,SAASw9G,IAAIx9G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,OAAO,CAAC,EAAED,EAAE2B,EAAEwY,EAAE,EAAE,UAAU,0CAA0C,EAAEvY,EAAEuY,EAAE,EAAE,UAAU,8BAA8B,EAAEtY,EAAE5B,EAAE,MAAMqC,EAAET,EAAEA,EAAE,OAAO,GAAG,GAAGjC,EAAE,mBAAmB,CAACK,CAAC,CAAC,GAAGqC,EAAEX,GAAG,EAAEC,EAAE,CAAC,IAAI+C,EAAE/E,EAAE,SAASK,EAAE,MAAM,EAAE,CAAC2E,EAAEC,CAAC,EAAE40F,GAAG90F,EAAE9C,EAAE5B,EAAE,MAAM,EAAE,CAAC,EAAE,MAAM,CAACL,EAAE,eAAegF,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,EAAEhF,EAAE,eAAeiF,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG,IAAI,EAAE,OAAOhD,EAAEA,EAAE,OAAO,GAAG,EAAE,CAACjC,EAAE,eAAeiC,EAAE5B,EAAE,MAAM,CAAC,CAAC,EAAEL,EAAE,eAAeiC,EAAE,QAAQ,CAAC,CAAC,CAAC,EAAE,GAAGS,IAAI,EAAE,MAAM,CAACrC,EAAEyrG,GAAG,CAAC,MAAM,CAAC,MAAM7pG,EAAE,MAAM,QAAQ,MAAM,CAAC,EAAE,QAAQjC,CAAC,CAAC,CAAC,EAAE,IAAI2C,EAAE3C,EAAE,QAAQ,IAAIK,EAAE,MAAM,EAAEuC,EAAED,IAAI,MAAMA,EAAE,SAASE,EAAED,EAAE5C,EAAE,aAAaK,CAAC,EAAEA,EAAE2D,EAAE2iB,EAAE,cAAc1kB,CAAC,EAAES,EAAEuB,EAAEo6F,GAAG,CAAC,OAAO,CAAC,EAAEx7F,CAAC,EAAE,MAAM,CAAC,MAAM,CAACmB,EAAEtB,CAAC,CAAC,EAAE,QAAQ1C,CAAC,CAAC,EAAE4C,GAAGw6G,GAAGp9G,EAAE6C,CAAC,EAAE,IAAIwE,EAAEg2G,GAAG,CAAC,EAAE,EAAEA,GAAG36G,CAAC,EAAE+B,EAAE,KAAKC,EAAE,IAAID,IAAI,KAAK,CAACR,EAAEA,CAAC,EAAE,CAACA,EAAEQ,CAAC,EAAEE,EAAE,CAACI,EAAEC,EAAEC,IAAI,CAAC,IAAIC,EAAER,EAAE,EAAES,EAAE,IAAI+3G,IAAGj4G,CAAC,EAAE8C,EAAE,CAAC,CAACrF,CAAC,EAAE,CAAC+B,IAAI,KAAK,EAAE,CAAC,EAAE,CAAC,OAAO,iBAAiB,EAAE,CAACM,CAAC,EAAE,CAACC,CAAC,CAAC,EAAEyC,EAAEhD,EAAEA,EAAEzE,EAAE,gBAAgBmF,EAAED,EAAE,QAAQ6C,CAAC,EAAEq1G,GAAGp9G,EAAEyH,CAAC,CAAC,EAAE,QAAQ1C,EAAE,EAAEA,EAAEsC,EAAEtC,GAAG,EAAE,CAAC,IAAIC,EAAED,EAAE,EAAE,QAAQE,EAAEF,EAAEE,GAAG,EAAEA,GAAG,EAAEN,EAAEK,EAAEC,EAAE,CAACjB,EAAE,CAAC,CAAC,CAAC,CAAC,QAAQe,EAAE,EAAEA,EAAEsC,EAAEtC,GAAG,EAAE,CAAC,IAAIC,EAAEN,EAAE,EAAEO,EAAE,IAAIk4G,IAAG,CAACn5G,EAAEe,EAAE,CAAC,CAAC,EAAEI,EAAE,CAAC,CAACzC,CAAC,EAAE,CAAC+B,IAAI,KAAK,EAAE,CAAC,EAAE,CAAC4C,CAAC,CAAC,EAAEjC,EAAEX,EAAEA,EAAEzE,EAAE,gBAAgBiF,EAAED,EAAE,QAAQG,CAAC,EAAEi4G,GAAGp9G,EAAEoF,CAAC,EAAE,IAAI2C,EAAEV,EAAE,EAAEI,EAAEM,EAAE,EAAE,QAAQC,EAAED,EAAEC,GAAG,EAAEA,GAAG,EAAErD,EAAE8C,EAAEO,EAAEvD,EAAE,KAAK,CAAC,CAAC,IAAIG,EAAEH,EAAEA,EAAEm/F,GAAG,CAAC,OAAO,CAAC,EAAEn/F,CAAC,EAAE,QAAQzE,EAAE,MAAM,CAAC,MAAM,EAAE,KAAK,CAACgE,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEo5G,GAAGp9G,EAAE4E,CAAC,EAAE,IAAI0C,EAAEkmG,GAAG,CAAC,OAAO,CAAC,EAAEvpG,EAAE,QAAQQ,CAAC,EAAE,QAAQzE,EAAE,MAAM,CAAC,KAAK,EAAE,UAAU,CAAC,CAAC,CAAC,EAAEo9G,GAAGp9G,EAAEiE,CAAC,EAAE,IAAIa,EAAE7C,EAAE,MAAM,EAAE,EAAE,EAAE6C,EAAE,KAAK,CAAC,EAAEF,EAAEH,EAAEA,EAAE45F,GAAG,CAAC,OAAO,CAAC,EAAE55F,CAAC,EAAE,MAAM,CAAC,MAAMK,CAAC,EAAE,QAAQ9E,CAAC,CAAC,EAAEo9G,GAAGp9G,EAAE4E,CAAC,EAAE,IAAI2C,EAAED,EAAE,OAAOA,EAAE+2F,GAAG,CAAC,OAAO,CAAC,EAAE/2F,CAAC,EAAE,MAAM,CAAC,MAAMxC,CAAC,EAAE,QAAQ9E,CAAC,CAAC,EAAEo9G,GAAGp9G,EAAEuH,CAAC,EAAE,CAACD,EAAE7C,CAAC,CAAC,CAAC,IAAI84G,IAAG,CAAC,WAAWv4F,GAAG,YAAY,QAAQ,WAAWs4F,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY58G,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAE,CAAC,KAAK,cAAc,CAAC,QAAQ,YAAY,EAAE,KAAK,YAAYA,EAAE,IAAIC,EAAE,IAAI,UAAU,EAAE,EAAEC,EAAE,OAAO3B,EAAE,CAAC,IAAI,WAAW2B,EAAE,EAAE,MAAM,IAAI,UAAUA,EAAE,EAAE,MAAM,IAAI,OAAOA,EAAE,EAAE,MAAM,IAAI,UAAUA,EAAE,EAAE,MAAM,QAAQA,EAAE,EAAE,KAAK,CAAC,KAAK,SAAS;AAAA;AAAA;AAAA,mBAG92DA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAwBQA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAiBAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,4CAUiBpB,gCAAgCZ;AAAA;AAAA;AAAA,sCAGtC6B;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,sCAwBAA;AAAA;AAAA;AAAA;AAAA,mDAIa7B;AAAA,mDACAY;AAAA;AAAA,sBAE7BmB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,SAwBb,CAAC,EAAE,SAAS07G,IAAI39G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,EAAE,WAAW,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,SAAS0B,EAAE,UAAUC,EAAE,YAAYC,CAAC,EAAE7B,EAAE,CAACsC,EAAEC,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAM,CAACyC,EAAEkB,CAAC,EAAE/B,GAAG,KAAKA,EAAE,CAACU,EAAEC,CAAC,EAAE,EAAE,CAACF,EAAEI,EAAEkB,EAAEnB,CAAC,EAAEwE,EAAE,IAAIm2G,IAAG76G,EAAEC,EAAE,EAAEb,EAAEC,EAAE,CAAC,EAAE,OAAOhC,EAAE,gBAAgBqH,EAAE,CAAChH,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIq9G,IAAG,CAAC,WAAWz4F,GAAG,YAAY,QAAQ,WAAWw4F,GAAG,EAAE,SAASE,IAAI79G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQI,CAAC,EAAEN,EAAE,CAAC,KAAKO,CAAC,EAAEL,EAAE,CAAC,EAAE,CAAC,EAAE,EAAEitF,GAAG,EAAE,QAAQ,EAAE,QAAQ,KAAK,YAAY,4DAA4D,EAAE,IAAI,EAAE7sF,EAAE,SAAS,EAAE,MAAM,EAAE,CAAC,aAAa2B,EAAE,YAAYC,EAAE,QAAQC,CAAC,EAAE83F,GAAG,EAAE15F,EAAE,EAAE,MAAM,EAAE,KAAK,EAAE,MAAM,CAACD,EAAE,eAAe4B,EAAE,EAAE,MAAMD,CAAC,EAAE3B,EAAE,eAAe,CAAC6B,EAAE,MAAM,EAAE,QAAQA,CAAC,CAAC,CAAC,CAAC,IAAI27G,IAAG,CAAC,WAAWz4F,GAAG,YAAY,QAAQ,WAAWw4F,GAAG,EAAE,SAASE,IAAI/9G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAE,IAAI,GAAGC,EAAE,MAAM,QAAQ,IAAI,EAAEA,EAAE0B,EAAE,EAAE,MAAM,OAAOC,EAAE3B,EAAE,MAAM,GAAG4B,EAAE,IAAI,MAAMF,EAAE,CAAC,EAAEW,EAAE,EAAE,QAAQsB,EAAE,EAAEA,EAAEjC,EAAEiC,IAAIA,IAAI,IAAI/B,EAAES,KAAK,EAAE,MAAMsB,IAAI,IAAIrB,EAAE,CAAC,EAAEC,EAAE,IAAI,MAAMb,CAAC,EAAE,KAAK,CAAC,EAAEc,EAAE,EAAE,MAAM,MAAM,EAAEA,EAAE,GAAG,EAAE,IAAIC,EAAE,IAAI,MAAMd,CAAC,EAAE,QAAQgC,EAAE,EAAEA,EAAElB,EAAE,OAAOkB,IAAI,CAACpB,EAAE,GAAGoB,EAAE,IAAI,EAAE4/F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ5jG,EAAE,MAAM,CAAC,MAAM4C,EAAE,KAAKC,CAAC,CAAC,CAAC,EAAEwE,EAAEg3F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQr+F,EAAE,MAAM,CAAC,MAAMiC,CAAC,CAAC,CAAC,EAAEa,EAAEkB,GAAGqD,EAAE1E,EAAE,KAAK,CAAC,CAAC,CAAC,OAAOA,EAAE,QAAQqB,GAAGhE,EAAE,8BAA8BgE,CAAC,CAAC,EAAElB,CAAC,CAAC,IAAIg7G,IAAG,CAAC,WAAW14F,GAAG,YAAY,QAAQ,WAAWy4F,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYn9G,EAAEZ,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,YAAY,EAAE,IAAI,EAAEY,EAAE,WAAWP,EAAEO,EAAE,UAAUiB,EAAEjB,EAAE,OAAOkB,EAAElB,EAAE,YAAYmB,EAAED,EAAE,KAAK,KAAKD,EAAE,CAAC,EAAE,KAAK,YAAY,CAACxB,EAAE0B,CAAC,EAAE,IAAIC,EAAE,MAAM,EAAE,WAAWU,EAAE,KAAK,MAAM,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,EAAEE,EAAE;AAAA;AAAA,MAEh9CC,EAAE,GAAGhB,EAAE,EAAE,IAAIgB,EAAE;AAAA,oCACehB;AAAA;AAAA;AAAA,SAG3B,IAAIiB,EAAE,GAAGjB,EAAE,EAAE,IAAIiB,EAAE;AAAA,oCACQjB;AAAA;AAAA;AAAA,SAG3B,KAAK,SAAS;AAAA,0CACmBG;AAAA;AAAA;AAAA,UAGhCa;AAAA;AAAA;AAAA;AAAA;AAAA,UAKAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YASEhB,eAAe;AAAA,wDAC6BA;AAAA;AAAA;AAAA;AAAA,8BAI1BY;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAgBlBE;AAAA;AAAA;AAAA,iCAGqBF;AAAA,cACnB,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAiBNE;AAAA,qBACS,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAebA;AAAA,qBACS,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAebA;AAAA;AAAA,oBAEQ;AAAA;AAAA,KAEf,CAAC,EAAE,SAASo7G,IAAIl+G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,WAAW,CAAC,EAAE,EAAE,CAAC,YAAY,CAAC,EAAED,EAAE2B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE,CAAC,EAAEC,EAAE,EAAES,EAAEy3C,EAAE,mBAAmB,CAACl4C,CAAC,EAAEF,CAAC,EAAEY,EAAEtC,EAAEqC,GAAG,OAAOC,EAAEu8F,GAAG,CAAC,OAAO,CAAC,EAAE7+F,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAK0C,CAAC,CAAC,CAAC,EAAEV,EAAE,KAAKW,CAAC,EAAEV,EAAEk4C,EAAE,iBAAiB,EAAEp4C,CAAC,EAAE,IAAI,IAAIa,EAAEu3C,EAAE,aAAa,gBAAgBx3C,EAAE,MAAMV,EAAE,CAAC,EAAEY,EAAE8jB,EAAE,cAAc,CAAChkB,EAAE,MAAMV,EAAE,CAAC,EAAEa,EAAEu7F,GAAG,CAAC,OAAO,CAAC,EAAE17F,CAAC,EAAE,QAAQ3C,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG6C,CAAC,CAAC,CAAC,CAAC,EAAEb,EAAE,KAAKc,CAAC,EAAE,IAAIkB,EAAEymB,GAAGpqB,EAAE,KAAK,EAAE,EAAE,CAACqE,EAAEC,EAAEC,EAAE0C,EAAExC,IAAI,CAAC,IAAIyC,EAAE7C,EAAE,MAAM,GAAGK,EAAEL,EAAE,MAAM,GAAGM,EAAEm1C,EAAE,aAAa,8BAA8Bp1C,EAAED,CAAC,EAAEG,EAAE,CAAC,WAAWD,EAAE,OAAOD,EAAE,UAAUwC,EAAE,YAAYzC,CAAC,EAAEI,EAAE,IAAI64G,IAAG94G,EAAEN,CAAC,EAAEQ,EAAEnF,EAAE,cAAckF,EAAE,CAACR,EAAEE,CAAC,EAAE0C,CAAC,EAAE,GAAGtF,EAAE,KAAKmD,CAAC,EAAEA,EAAE,MAAM,KAAKL,EAAE,OAAOK,EAAE,IAAIC,EAAE+wG,GAAG,CAAC,QAAQn2G,EAAE,MAAM,CAAC,MAAM,EAAE,KAAK8E,EAAE,KAAK,EAAE,MAAM,SAAS,CAAC,CAAC,EAAEiD,EAAEi1G,GAAG,CAAC,OAAO,CAAC,EAAE53G,CAAC,EAAE,QAAQpF,EAAE,MAAM,CAAC,KAAK,CAAC+E,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAE,OAAOhD,EAAE,KAAKoD,CAAC,EAAEpD,EAAE,KAAK+F,CAAC,EAAE,EAAE5C,EAAER,EAAEoD,EAAET,EAAExC,CAAC,CAAC,EAAEuC,EAAE,EAAEvE,EAAE,qBAAqB,EAAEkB,EAAE,CAAC,EAAEa,EAAEw5F,GAAG,CAAC,OAAO,CAAC,EAAAh3F,CAAC,EAAE,QAAQrH,EAAE,MAAM,CAAC,MAAM4C,CAAC,CAAC,CAAC,EAAE6B,EAAEI,EAAE,GAAGnC,GAAG,KAAK,CAACV,EAAE,KAAK6C,CAAC,EAAE,IAAIH,EAAEy1C,EAAE,uBAAuBz3C,CAAC,EAAE+B,EAAEy6F,GAAG,CAAC,OAAO,CAACz6F,CAAG,EAAE,QAAQzE,EAAE,MAAM,CAAC,KAAK0E,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO1C,EAAE,QAAQ0C,GAAG1E,EAAE,8BAA8B0E,CAAC,CAAC,EAAED,CAAC,CAAC,IAAIw5G,IAAG,CAAC,WAAW54F,GAAG,YAAY,QAAQ,WAAW24F,GAAG,EAAME,IAAI,CAAC3e,GAAGG,GAAGG,GAAGG,GAAGG,GAAGI,GAAGE,GAAGE,GAAGO,GAAGE,GAAGG,GAAGG,GAAGG,GAAGI,GAAGG,GAAGI,GAAGE,GAAGI,GAAGE,GAAGE,GAAGI,GAAGS,GAAGE,GAAGE,GAAGS,GAAGG,GAAGI,GAAGlI,GAAGsI,GAAGS,GAAGS,GAAGM,GAAGE,GAAGE,GAAGE,GAAGE,GAAGG,GAAGG,GAAGG,GAAGO,GAAGE,GAAGE,GAAGG,GAAGI,GAAGI,GAAGE,GAAGG,GAAGG,GAAGE,GAAGI,GAAGI,GAAGI,GAAGG,GAAGI,IAAGE,IAAGG,IAAGI,IAAGG,IAAGE,IAAGG,IAAGI,IAAGG,IAAGK,IAAGE,IAAGG,IAAGI,IAAGI,IAAGI,IAAGlR,GAAGoR,IAAGvI,GAAG0I,IAAGG,IAAGG,IAAGvR,GAAG2R,IAAGI,IAAGE,IAAGI,IAAGG,IAAGI,IAAGG,IAAGI,IAAGI,IAAGG,IAAGG,IAAGI,IAAGE,IAAGE,IAAGI,IAAGE,IAAGE,IAAGE,IAAGE,IAAGI,IAAGI,IAAGI,IAAGY,IAAG3V,GAAG+V,IAAGG,IAAGG,IAAGG,IAAGrQ,GAAGwQ,IAAGI,IAAGE,IAAGI,IAAGI,IAAGnY,GAAGqY,IAAGE,IAAGE,IAAGE,IAAG5R,GAAG+O,IAAGgD,IAAGI,IAAGI,IAAGzY,GAAG6Y,IAAGG,IAAGI,IAAGG,IAAGI,IAAGE,IAAGG,IAAGG,IAAGG,IAAGG,IAAGG,IAAGG,IAAGI,IAAGG,IAAGG,IAAGG,IAAGrW,GAAG+P,IAAGyG,IAAGE,IAAGE,IAAGE,IAAGE,IAAGE,IAAGE,IAAGE,IAAGG,IAAGG,IAAGG,IAAGE,IAAGG,IAAGE,IAAGE,IAAGE,IAAG7I,IAAGzU,GAAGyd,IAAGG,IAAGI,IAAGM,IAAGG,IAAGve,GAAGye,IAAGE,IAAGG,IAAGjJ,GAAE,EAAE,QAAQl1G,KAAKo+G,IAAI53F,GAAGxmB,CAAC,EAAE,IAAIq+G,IAAI,SAASr+G,EAAE,CAACA,EAAEA,EAAE,QAAQ,GAAG,UAAUA,EAAEA,EAAE,MAAM,GAAG,QAAQA,EAAEA,EAAE,KAAK,GAAG,OAAOA,EAAEA,EAAE,OAAO,GAAG,SAASA,EAAEA,EAAE,UAAU,GAAG,WAAW,GAAGq+G,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAASt+G,EAAE,CAACA,EAAEA,EAAE,OAAO,GAAG,SAASA,EAAEA,EAAE,KAAK,GAAG,OAAOA,EAAEA,EAAE,MAAM,GAAG,QAAQA,EAAEA,EAAE,MAAM,GAAG,QAAQA,EAAEA,EAAE,UAAU,GAAG,YAAYA,EAAEA,EAAE,QAAQ,GAAG,UAAUA,EAAEA,EAAE,IAAI,GAAG,KAAK,GAAGs+G,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,SAASC,IAAIx+G,EAAE,CAACu+G,GAAGv+G,EAAE,KAAK,MAAM6lB,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,SAAS,QAAQ,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS44F,IAAIz+G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,EAAE,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,GAAG1B,EAAE,QAAQ,WAAW,EAAE,QAAQ,UAAU,MAAM,IAAI,MAAM,6DAA6D,EAAE,GAAG,CAAC,WAAW2B,EAAE,WAAWC,EAAE,WAAWS,EAAE,eAAeC,CAAC,EAAEvC,EAAEwC,EAAE5C,EAAE,UAAU,IAAIK,EAAE,MAAM,EAAE,GAAGwC,EAAE7C,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG8C,EAAE,EAAE,GAAG,GAAG,KAAK,CAAC,IAAIgC,EAAE9E,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG8E,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,uDAAuDA,EAAE,MAAM,SAAS,EAAEhC,EAAEgC,EAAE,EAAE,CAAC,IAAId,EAAEjC,GAAG,KAAK,EAAE/B,EAAE,UAAU,IAAI+B,EAAE,MAAM,EAAE,GAAG,EAAEq8G,GAAG17G,GAAG,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,GAAGA,qEAAqE,EAAE,IAAI2E,EAAErF,EAAE3B,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGwE,EAAE5C,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAGwC,EAAEmwB,GAAG,2BAA2Bv0B,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,CAAC,EAAEqE,EAAE1E,EAAE,WAAW,CAAC,GAAGyE,EAAE4C,EAAExC,CAAC,EAAExE,EAAE,KAAK,EAAEsE,EAAE3E,EAAE,UAAU,IAAI0E,EAAE,MAAM,EAAE,GAAGE,EAAE,IAAI,WAAW,IAAI,WAAWvE,EAAE,KAAK,EAAE,MAAM,EAAEiH,EAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,EAAE,OAAO+2G,GAAGz7G,EAAEgC,EAAEvE,EAAE,MAAM,OAAOwC,EAAEyE,EAAE,EAAE,MAAM,OAAOtF,EAAEC,EAAE,EAAEa,EAAEkB,EAAErB,GAAG,EAAEgC,CAAC,EAAED,CAAC,CAAC,IAAI85G,IAAG,CAAC,WAAW74F,GAAG,YAAY,OAAO,UAAU24F,IAAI,WAAWC,GAAG,EAAE,SAASE,GAAG3+G,EAAE,EAAE,CAAC,IAAIE,EAAE,SAASI,EAAE,EAAE,CAACJ,EAAE,EAAE,KAAK,MAAMF,EAAE,KAAK,CAAC,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASO,EAAE,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAO,CAAC,EAAE0B,CAAC,CAAC,EAAE,EAAEC,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGE,EAAE,EAAE,WAAWF,EAAE,MAAM,GAAGA,EAAE,KAAK,EAAEW,EAAE,EAAE,UAAU,IAAIT,EAAE,MAAM,EAAE,GAAG,OAAO0kB,EAAE,cAAc1kB,EAAE,KAAK,IAAI,GAAGjC,EAAEgC,EAAEm8G,GAAGp8G,EAAE,OAAOW,CAAC,EAAET,CAAC,CAAC,MAAM,CAAC,WAAWnC,EAAE,YAAY,OAAO,UAAUM,EAAE,WAAWC,CAAC,CAAC,CAAC,IAAIq+G,IAAGD,GAAGzjG,EAAE,EAAE,SAAS2jG,GAAG7+G,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,SAASC,EAAE,EAAE,CAACD,EAAE,EAAE,KAAK,MAAMN,EAAE,KAAK,CAAC,SAAS,QAAQ,SAAS,SAAS,QAAQ,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS,EAAE,EAAE,CAAC,GAAG,CAAC,QAAQiC,EAAE,OAAOC,CAAC,EAAE,EAAE,CAAC,EAAEC,EAAE,EAAES,CAAC,EAAEV,EAAEW,EAAEZ,EAAE,UAAU,IAAIE,EAAE,MAAM,EAAE,GAAGW,EAAEb,EAAE,UAAU,IAAIW,EAAE,MAAM,EAAE,GAAGG,EAAE7C,GAAG,KAAKA,EAAEiC,EAAE,MAAMa,EAAEq3C,EAAE,2BAA2Bl4C,EAAE,MAAMS,EAAE,KAAK,EAAEsB,EAAEjC,EAAE,WAAWe,EAAED,CAAC,EAAE,GAAG8jB,EAAE,cAAc7jB,CAAC,IAAI,EAAE,OAAOkB,EAAE,IAAI,EAAE,IAAI,WAAW,IAAI,WAAW/B,EAAE,KAAK,EAAE,MAAM,EAAEoF,EAAE,IAAI,WAAW,IAAI,WAAW3E,EAAE,KAAK,EAAE,MAAM,EAAEmC,EAAE9C,EAAE,UAAU,IAAIiC,EAAE,MAAM,EAAE,GAAG,OAAW5D,EAAEuC,EAAE,EAAEV,EAAE,MAAM,OAAOW,EAAEyE,EAAE3E,EAAE,MAAM,OAAOy7G,GAAGl8G,EAAE,OAAO4C,CAAC,EAAKb,CAAC,CAAC,MAAM,CAAC,WAAWlE,EAAE,YAAY,OAAO,UAAUO,EAAE,WAAW,CAAC,CAAC,CAAC,IAAIu+G,IAAI,GAAGC,IAAGF,GAAGxjG,GAAGyjG,GAAG,EAAME,GAAG,SAASC,IAAIj/G,EAAE,CAACg/G,GAAGh/G,EAAE,KAAK,MAAMsb,GAAG,KAAK,CAAC,QAAQ,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS4jG,IAAIl/G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAEM,EAAEJ,EAAE,WAAW,EAAE,GAAG,MAAM,EAAE,GAAG,KAAK,EAAE,GAAG2mB,EAAE,cAAcvmB,EAAE,KAAK,IAAI,EAAE,OAAOA,EAAE,IAAIC,EAAE,EAAE,IAAI0B,GAAG/B,EAAE,UAAU,IAAI+B,EAAE,MAAM,EAAE,EAAE,EAAE,EAAE,IAAI,WAAW,IAAI,WAAW1B,CAAC,EAAE,MAAM,EAAE,EAAEL,EAAE,UAAU,IAAII,EAAE,MAAM,EAAE,GAAG,OAAO0+G,GAAG,EAAEz+G,EAAE,OAAO89G,GAAG/9G,EAAE,OAAO,CAAC,EAAEA,CAAC,CAAC,IAAI6+G,IAAG,CAAC,WAAW7jG,GAAG,YAAY,OAAO,UAAU2jG,IAAI,WAAWC,GAAG,EAAE,SAASE,GAAGp/G,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQE,CAAC,EAAEF,EAAEM,EAAEJ,EAAE,WAAW,EAAE,MAAM,EAAE,KAAK,EAAEK,EAAEL,EAAE,mBAAmB,CAAC,EAAE,OAAOA,EAAE,mBAAmBI,CAAC,EAAE,IAAIC,CAAC,EAAED,CAAC,CAAC,IAAI++G,IAAG,CAAC,WAAW//F,GAAG,YAAY,OAAO,WAAW8/F,EAAE,EAAME,GAAG,SAASC,IAAIv/G,EAAE,CAACs/G,GAAGt/G,EAAE,KAAK,MAAMolB,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,SAAS,SAAS,QAAQ,QAAQ,CAAC,CAAC,CAAC,SAASo6F,GAAGx/G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAACO,EAAE,CAAC,EAAEk/G,IAAI,EAAE,EAAE,MAAMn/G,EAAE,IAAI,EAAE,EAAE,GAAG,QAAQ0C,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,EAAEA,KAAKA,IAAI,EAAE,IAAI,IAAIf,EAAEy9G,IAAI,EAAE,EAAE,MAAMp/G,EAAE,IAAI,EAAE4B,EAAE,CAAC,OAAO,EAAE,EAAE,OAAO,MAAM3B,EAAE,MAAM,EAAE,EAAE,KAAK,EAAE,GAAG,EAAE,CAAC,IAAIyC,EAAEo8G,GAAG,CAAC,OAAO,EAAE,QAAQl/G,CAAC,CAAC,EAAE,OAAO8C,EAAE,MAAMf,EAAEe,CAAC,CAAC,IAAIb,EAAEjC,EAAE,WAAW+B,EAAEC,EAAE,KAAK,EAAEU,EAAE1C,EAAE,UAAU,IAAIgC,EAAE,MAAM,EAAE,GAAGW,EAAE3C,EAAE,UAAU,IAAIiC,EAAE,MAAM,EAAE,GAAGW,EAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,EAAEC,EAAE,IAAI,WAAW,IAAI,WAAWb,EAAE,KAAK,EAAE,MAAM,EAAE,OAAOo9G,GAAG18G,EAAEG,EAAEb,EAAE,MAAM,OAAOm8G,GAAGn8G,EAAE,OAAOW,EAAEC,EAAE,EAAE,MAAM,EAAEX,CAAC,CAAC,SAASu9G,IAAI1/G,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,MAAMF,EAAE,MAAM,EAAE,QAAQM,EAAE,EAAEA,EAAEJ,EAAE,OAAOI,IAAIJ,EAAEI,GAAGN,EAAE,EAAEM,IAAI,OAAOJ,CAAC,CAAC,SAASu/G,IAAIz/G,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEI,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEP,EAAE,OAAO,EAAEO,EAAEP,EAAEO,KAAK,GAAGL,EAAE,KAAKF,EAAEO,EAAE,EAAEP,EAAE,EAAEO,MAAM,GAAGD,EAAE,KAAK,EAAEC,EAAE,EAAE,QAAQA,EAAE,EAAEA,EAAED,EAAE,OAAO,EAAEC,EAAE,CAAC,IAAI,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAED,EAAE,OAAO,EAAE,EAAEA,EAAE,IAAIC,IAAI,IAAI,IAAID,EAAE,GAAGA,EAAE,MAAM,EAAE,GAAGA,EAAE,GAAGC,CAAC,CAAC,MAAM,CAACL,EAAEI,CAAC,CAAC,CAAC,IAAIq/G,IAAG,CAAC,WAAWv6F,GAAG,YAAY,OAAO,WAAWo6F,GAAG,UAAUD,GAAG,EAAE,SAASK,GAAG5/G,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,MAAMO,EAAEP,EAAE,MAAM,OAAO,EAAE6mB,EAAE,eAAe,EAAEvmB,CAAC,EAAE,EAAE,EAAE2B,EAAEo4C,EAAE,mBAAmB,EAAE95C,CAAC,EAAE2B,EAAE,KAAKC,EAAE,GAAG,GAAGF,GAAG,KAAK,CAAC,IAAIW,EAAE,IAAI,MAAMrC,CAAC,EAAE,QAAQwC,EAAE,EAAEA,EAAEH,EAAE,OAAOG,IAAIH,EAAEG,GAAGzC,EAAE2B,EAAEc,IAAI,EAAEs3C,EAAE,iBAAiB,EAAE,OAAO95C,CAAC,EAAE2B,EAAEs9G,GAAG,CAAC,OAAO,CAAC,EAAEx/G,CAAC,EAAE,MAAM,CAAC,KAAKiC,CAAC,EAAE,QAAQ/B,CAAC,CAAC,EAAE,IAAI2C,EAAE3C,EAAE,UAAU,IAAIF,EAAE,MAAM,EAAE,GAAGE,EAAE,UAAU,IAAIgC,EAAE,MAAM,EAAE,KAAKW,IAAIV,EAAE,GAAG,CAAC,MAAM,CAAC,WAAWD,EAAE,aAAa,EAAE,KAAK,EAAE,mBAAmBC,CAAC,CAAC,CAAC,IAAI09G,GAAG,SAASC,IAAI9/G,EAAE,CAAC6/G,GAAG7/G,EAAE,KAAK,MAAMub,GAAG,KAAK,CAAC,wBAAwB,CAAC,CAAC,CAAC,SAASwkG,IAAI//G,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,KAAKO,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEJ,EAAEgC,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,EAAE,EAAE,CAAC,WAAWU,EAAE,KAAK,EAAE,aAAaE,EAAE,mBAAmBC,CAAC,EAAE68G,GAAG,EAAEr/G,EAAE,CAAC,EAAE,GAAGwC,EAAE,CAAC,IAAI4B,EAAE,EAAE,UAAU,IAAI/B,EAAE,MAAM,EAAE,GAAG,EAAEA,EAAEV,EAAEyC,CAAC,CAAC,IAAI3B,EAAE,EAAE,MAAM,OAAOq3C,EAAE,2BAA2B,MAAM,EAAEr3C,CAAC,EAAE,GAAG,CAACkB,EAAEC,CAAC,EAAEk2C,EAAE,0BAA0B,EAAE,MAAM,CAAC,EAAE9yC,EAAEsf,EAAE,cAAc1iB,CAAC,EAAE,EAAE,EAAE,WAAWD,EAAE,EAAE,KAAK,EAAE,GAAG2iB,EAAE,cAAc,EAAE,KAAK,IAAI,EAAE,CAAC,IAAIliB,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGk7G,GAAG39G,EAAEqF,EAAE5C,CAAC,CAAC,CAAC,GAAG5B,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAE,EAAE,CAAC,IAAI+B,EAAE01C,EAAE,qBAAqB,EAAE,MAAMv3C,CAAC,EAAE,EAAE,MAAM6B,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIq7G,IAAG,CAAC,WAAWzkG,GAAG,YAAY,OAAO,UAAUukG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIlgH,EAAE,CAACigH,GAAGjgH,EAAE,KAAK,MAAMwb,GAAG,KAAK,CAAC,wBAAwB,CAAC,CAAC,CAAC,SAAS2kG,IAAIngH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,KAAKO,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEJ,EAAEgC,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,EAAE,EAAE,CAAC,WAAWU,EAAE,KAAK,EAAE,aAAaE,EAAE,mBAAmBC,CAAC,EAAE68G,GAAG,EAAEr/G,EAAE,CAAC,EAAE,GAAGwC,EAAE,CAAC,IAAI4B,EAAE,EAAE,UAAU,IAAI/B,EAAE,MAAM,EAAE,GAAG,EAAEA,EAAEV,EAAEyC,CAAC,CAAC,IAAI3B,EAAE,EAAE,MAAM,OAAOq3C,EAAE,2BAA2B,MAAM,EAAEr3C,CAAC,EAAE,GAAG,CAACkB,EAAEC,CAAC,EAAEk2C,EAAE,0BAA0B,EAAE,MAAM,CAAC,EAAE9yC,EAAEsf,EAAE,cAAc1iB,CAAC,EAAE,EAAE,EAAE,WAAWD,EAAE,EAAE,KAAK,EAAE,GAAG2iB,EAAE,cAAc,EAAE,KAAK,IAAI,EAAE,CAAC,IAAIliB,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGs7G,GAAG/9G,EAAEqF,EAAE5C,CAAC,CAAC,CAAC,GAAG5B,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAE,EAAE,CAAC,IAAI+B,EAAE01C,EAAE,qBAAqB,EAAE,MAAMv3C,CAAC,EAAE,EAAE,MAAM6B,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIy7G,IAAG,CAAC,WAAW5kG,GAAG,YAAY,OAAO,UAAU0kG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAItgH,EAAE,CAACqgH,GAAGrgH,EAAE,KAAK,MAAMyb,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS8kG,IAAIvgH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,KAAKO,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEJ,EAAE,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG+B,EAAE,EAAEC,EAAE,EAAE,CAAC,WAAWC,EAAE,KAAKS,EAAE,mBAAmBC,CAAC,EAAE+8G,GAAG,EAAEr/G,EAAE,CAAC,EAAE,GAAGsC,EAAE,CAAC,IAAI0E,EAAE,EAAE,UAAU,IAAIpF,EAAE,MAAM,EAAE,GAAGoF,IAAI,IAAIrF,EAAEC,EAAEF,EAAEsF,EAAE,CAAC,IAAIzE,EAAEZ,EAAE,MAAM,MAAM,EAAE,EAAE,EAAEa,EAAE,EAAE,WAAWD,EAAE,OAAO,EAAEE,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGmB,EAAE2iB,EAAE,cAAc9jB,EAAE,KAAK,EAAE,EAAEb,EAAE,MAAMU,EAAE,IAAI,OAAOy9G,GAAGp+G,EAAEo8G,GAAGn8G,EAAE,OAAOgC,EAAE,EAAElB,CAAC,EAAEH,GAAG,EAAE,YAAYV,EAAE,MAAM,EAAEY,CAAC,CAAC,IAAIy9G,IAAG,CAAC,WAAW/kG,GAAG,YAAY,OAAO,WAAW8kG,IAAI,UAAUD,GAAG,EAAMG,GAAG,SAASC,IAAI1gH,EAAE,CAACygH,GAAGzgH,EAAE,KAAK,MAAMgc,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS2kG,IAAI3gH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQI,CAAC,EAAEN,EAAEO,EAAE,EAAE,EAAE,EAAED,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAG,CAAC,WAAW,EAAE,QAAQ0B,EAAE,IAAIC,EAAE,gBAAgBC,CAAC,EAAEjC,EAAE0C,EAAEy3C,EAAE,kBAAkB95C,EAAE,MAAM,EAAE0B,EAAE,EAAEC,EAAEC,CAAC,EAAEU,EAAED,EAAE,aAAaE,EAAEF,EAAE,YAAYG,EAAEH,EAAE,QAAQ,IAAII,EAAEJ,EAAE,QAAQ,MAAMsB,EAAEtB,EAAE,QAAQ,OAAO,EAAEA,EAAE,QAAQ,KAAK2E,EAAE3E,EAAE,aAAamC,EAAEnC,EAAE,YAAY+B,EAAE/B,EAAE,WAAW,GAAGA,EAAE,aAAa,eAAe,MAAM,IAAI,MAAM,6CAA6CA,EAAE,yCAAyC,EAAE,GAAGA,EAAE,gBAAgB,GAAGA,EAAE,iBAAiB,EAAE,MAAM,IAAI,MAAM,0EAA0EA,EAAE,mBAAmBA,EAAE,iBAAiB,EAAE,IAAIgC,EAAEtE,EAAE,WAAWsC,EAAE,SAAS,SAAS,EAAEiC,EAAEvE,EAAE,UAAU,IAAIsE,EAAE,MAAM,EAAE,GAAG,OAAO67G,GAAG,EAAElgH,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGsC,EAAEC,EAAEC,EAAEC,EAAEkB,EAAE,EAAEqD,EAAExC,EAAEJ,EAAEE,CAAC,EAAED,CAAC,CAAC,IAAIg8G,IAAG,CAAC,WAAW5kG,GAAG,YAAY,OAAO,UAAU0kG,IAAI,WAAWC,GAAG,EAAE,SAASE,GAAG7gH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,EAAEM,CAAC,EAAE,EAAE,CAAC,MAAMC,CAAC,EAAEL,EAAE,EAAE2mB,EAAE,cAAcvmB,EAAE,KAAK,EAAE,EAAEumB,EAAE,uBAAuBtmB,EAAE,CAAC,EAAE,OAAOsmB,EAAE,OAAO,IAAIA,EAAE,cAAc,CAAC,EAAE,IAAI,cAAc,iBAAiBvmB,EAAE,uEAAuE,EAAEN,EAAE,QAAQ,OAAOM,EAAE,MAAM,EAAE,CAAC,OAAOA,EAAE,OAAO,MAAM,EAAE,MAAMA,EAAE,KAAK,CAAC,CAAC,IAAIwgH,IAAG,CAAC,WAAWn+F,GAAG,YAAY,OAAO,WAAWk+F,EAAE,EAAME,GAAG,SAASC,IAAIhhH,EAAE,CAAC+gH,GAAG/gH,EAAE,KAAK,MAAMoc,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,SAAS,QAAQ,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS6kG,IAAIjhH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,WAAW0B,CAAC,EAAE3B,EAAE,GAAGC,EAAE,QAAQ,WAAW,EAAE,QAAQ,UAAU,MAAM,IAAI,MAAM,4DAA4D,EAAE,IAAI2B,EAAE3B,EAAE,MAAM,OAAO4B,EAAE,EAAE,MAAM,OAAOS,EAAE,EAAErC,EAAE,MAAM2B,EAAE,GAAG3B,EAAE,MAAM2B,EAAE,GAAGW,EAAEZ,EAAE,EAAE,MAAME,EAAE,GAAG,EAAE,MAAMA,EAAE,GAAGW,EAAE,EAAEvC,EAAE,MAAM2B,EAAE,GAAG3B,EAAE,MAAM2B,EAAE,GAAGa,EAAEd,EAAE,EAAE,MAAME,EAAE,GAAG,EAAE,MAAMA,EAAE,GAAGa,EAAEzC,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE2D,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAE2iB,EAAE,cAAc7jB,CAAC,EAAEuE,EAAEsf,EAAE,cAAc3iB,CAAC,EAAES,EAAEmwB,GAAG,2BAA2Bv0B,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,CAAC,EAAE,OAAO,CAACuC,EAAEC,CAAC,CAAC,EAAE8jB,EAAE,OAAOjkB,IAAIC,EAAE,IAAI,kCAAkCD,WAAWC,6BAA6BtC,EAAE,aAAa,EAAE,wBAAwB,oBAAoB0B,eAAe,EAAE,IAAI2C,EAAE,EAAE,CAAC,EAAEhC,EAAEE,CAAC,EAAE,CAAC,EAAEA,EAAEF,CAAC,EAAEiC,EAAE5C,EAAE,CAACsF,EAAExE,EAAEF,CAAC,EAAE,CAAC0E,EAAE1E,EAAEE,CAAC,EAAE+B,EAAE+7G,GAAG,CAAC,OAAO,CAAC,EAAEtgH,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM0E,CAAC,CAAC,CAAC,EAAE4C,EAAEq5G,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ3gH,EAAE,MAAM,CAAC,MAAM2E,CAAC,CAAC,CAAC,EAAEG,EAAE9E,EAAE,UAAU,IAAI4E,EAAE,MAAM,EAAE,GAAG2C,EAAEvH,EAAE,UAAU,IAAIsH,EAAE,MAAM,EAAE,GAAGvC,EAAE,EAAEH,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGI,EAAEjD,EAAEuF,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGrC,EAAE,KAAK,IAAI,EAAEoC,CAAC,EAAEnC,EAAElF,EAAE,WAAW,CAACiF,EAAEF,EAAEC,CAAC,EAAEJ,EAAE,KAAK,EAAEO,EAAEnF,EAAE,UAAU,IAAIkF,EAAE,MAAM,EAAE,GAAGE,EAAE,IAAI,WAAW,IAAI,WAAWR,EAAE,KAAK,EAAE,MAAM,EAAEmD,EAAE,IAAI,WAAW,IAAI,WAAWT,EAAE,KAAK,EAAE,MAAM,EAAE,OAAOu5G,GAAG/7G,EAAEM,EAAER,EAAE,MAAM,OAAO2C,EAAEQ,EAAET,EAAE,MAAM,OAAO,EAAEvF,EAAEoD,CAAC,EAAEnF,EAAE,YAAY4E,EAAE,MAAM,EAAE5E,EAAE,YAAYsH,EAAE,MAAM,EAAEpC,EAAE,MAAMT,EAAES,CAAC,CAAC,IAAI87G,IAAG,CAAC,WAAW9kG,GAAG,YAAY,OAAO,UAAU4kG,IAAI,WAAWC,GAAG,EAAE,SAASE,GAAGnhH,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,MAAM,CAAC,MAAME,EAAE,KAAKI,CAAC,EAAE,QAAQC,CAAC,EAAEP,EAAE,CAAC,EAAE,CAAC,EAAEm2B,GAAG,iBAAiB,EAAEj2B,EAAEI,CAAC,EAAE2B,EAAEk0B,GAAG,iBAAiB,EAAE,MAAM,EAAE,CAAC,EAAEj0B,EAAE3B,EAAE,SAAS,EAAE,MAAM,EAAE4B,EAAE5B,EAAE,WAAW,EAAE,EAAE,KAAK,EAAEqC,EAAEikB,EAAE,eAAe,EAAE,KAAK,EAAEhkB,EAAEtC,EAAE,UAAU,IAAI4B,EAAE,MAAM,EAAE,GAAGF,EAAE,CAAC,IAAIe,EAAEmzB,GAAG,kBAAkB,EAAEvzB,CAAC,EAAE,OAAO,EAAE,QAAQ,SAASC,EAAE,YAAYX,EAAE,MAAMc,EAAEA,EAAE6jB,EAAE,cAAc,CAAC,CAAC,EAAEtmB,EAAE,mBAAmB4B,CAAC,EAAE,IAAID,EAAE,SAASc,EAAEA,EAAE6jB,EAAE,cAAc,CAAC,CAAC,CAAC,EAAE1kB,CAAC,CAAC,GAAG,EAAE,QAAQ,SAAS,CAAC,IAAIa,EAAEqwE,GAAGnxE,EAAE,EAAE,EAAE,EAAE,MAAM,EAAE,KAAK,EAAE,OAAOW,EAAE,YAAYG,EAAEb,CAAC,CAAC,IAAIW,EAAEvC,EAAE,mBAAmB4B,CAAC,EAAEY,EAAE,EAAE,MAAM,OAAO,GAAGA,IAAI,EAAEq+G,IAAIl/G,EAAEU,EAAE,GAAGE,EAAE,EAAE,CAAC,UAAUC,IAAI,EAAEs+G,IAAIn/G,EAAEU,EAAE,GAAGA,EAAE,GAAGE,EAAE,EAAE,CAAC,UAAUC,IAAI,EAAEu+G,IAAIp/G,EAAEU,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAGE,EAAE,EAAE,CAAC,MAAM,CAAC,IAAIE,EAAEqwE,GAAGnxE,EAAE,EAAE,EAAE,EAAE,MAAM,EAAE,KAAK,EAAEY,EAAE,IAAIE,CAAC,CAAC,CAAC,OAAOb,CAAC,CAAC,SAASi/G,IAAIphH,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAE,EAAE,EAAED,EAAE,GAAG2B,EAAE3B,EAAE,GAAG4B,EAAE,EAAE3B,EAAE,GAAG,QAAQ4B,EAAE,EAAEA,EAAED,EAAEC,IAAI,CAAC,IAAIS,EAAET,EAAE,EAAEF,EAAE/B,EAAE,IAAIF,EAAE,SAAS4C,EAAEA,EAAErC,EAAE,EAAE,EAAE,CAAC,EAAE,GAAGA,EAAE,EAAE,CAAC,CAAC,SAAS8gH,IAAIrhH,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAE,EAAE0B,EAAE1B,EAAE,GAAG2B,EAAE3B,EAAE,GAAG4B,EAAE5B,EAAE,GAAGqC,EAAEX,EAAE,EAAE,GAAGY,EAAEX,EAAE,EAAE,GAAG,QAAQY,EAAEb,EAAEa,EAAEF,EAAEE,IAAI,QAAQC,EAAEb,EAAEa,EAAEF,EAAEE,IAAI,CAAC,IAAIC,EAAEF,EAAE,EAAEC,EAAE7C,EAAEiC,EAAE7B,EAAE,IAAIN,EAAE,SAASgD,EAAEA,EAAE,EAAE,EAAE,EAAE,CAAC,EAAE,GAAG,EAAE,EAAE,CAAC,CAAC,SAASs+G,IAAIthH,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE,CAAC,IAAI0B,EAAE,EAAEC,EAAE,EAAE,GAAGC,EAAE,EAAE,GAAGS,EAAE,EAAE,GAAGC,EAAEX,EAAE,EAAE,GAAGY,EAAEX,EAAE,EAAE,GAAGY,EAAEH,EAAE,EAAE,GAAGI,EAAE,EAAE,GAAG,QAAQkB,EAAEhC,EAAEgC,EAAErB,EAAEqB,IAAI,QAAQ,EAAE/B,EAAE,EAAEW,EAAE,IAAI,QAAQyE,EAAE3E,EAAE2E,EAAExE,EAAEwE,IAAI,CAAC,IAAIxC,EAAEb,EAAE,EAAE,EAAEhE,EAAEqH,EAAEjH,EAAE0C,EAAEzC,EAAE,IAAIP,EAAE,SAAS+E,EAAEA,EAAE,EAAE,EAAE,EAAE9C,CAAC,EAAEA,GAAG,EAAE,EAAE,CAAC,CAAC,IAAIs/G,IAAG,CAAC,WAAW/9F,GAAG,YAAY,OAAO,WAAW29F,EAAE,EAAE,SAASK,IAAIxhH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,MAAM,CAAC,EAAED,EAAE2B,EAAE,EAAE,OAAO,CAACsF,EAAExC,IAAIwC,EAAExC,CAAC,EAAE7C,EAAEm4C,EAAE,YAAY95C,EAAE,MAAM,EAAE0B,CAAC,EAAEE,EAAEk4C,EAAE,YAAYn4C,EAAE,OAAO,EAAE,MAAM,EAAEU,EAAEy3C,EAAE,oBAAoB95C,EAAE,MAAM,EAAE0B,CAAC,EAAEY,EAAEw3C,EAAE,oBAAoB,EAAE,EAAE,MAAM,EAAEv3C,EAAEu3C,EAAE,aAAaz3C,EAAE,EAAE,EAAE,MAAM,EAAEG,EAAE89G,GAAG,CAAC,OAAO,CAAC,EAAEtgH,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAMgC,CAAC,CAAC,CAAC,EAAEc,EAAEw8G,GAAG,CAAC,OAAO,CAAC,EAAEz8G,CAAC,EAAE,QAAQ7C,EAAE,MAAM,CAAC,KAAKiC,CAAC,CAAC,CAAC,EAAE+B,EAAE28G,GAAG,CAAC,OAAO,CAAC,EAAE79G,CAAC,EAAE,QAAQ9C,EAAE,MAAM,CAAC,MAAM0C,CAAC,CAAC,CAAC,EAAE,EAAEu+G,GAAG,CAAC,OAAO,CAAC,EAAEj9G,CAAC,EAAE,QAAQhE,EAAE,MAAM,CAAC,MAAM2C,EAAE,KAAKC,CAAC,CAAC,CAAC,EAAE,OAAO5C,EAAE,YAAY6C,EAAE,MAAM,EAAE7C,EAAE,YAAY8C,EAAE,MAAM,EAAE9C,EAAE,YAAY6C,EAAE,MAAM,EAAE,CAAC,CAAC,IAAI0+G,IAAG,CAAC,WAAWplG,GAAG,YAAY,OAAO,WAAWmlG,GAAG,EAAE,SAASE,GAAG1hH,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,MAAM,CAAC,MAAME,CAAC,EAAE,QAAQI,CAAC,EAAEN,EAAEO,EAAED,EAAE,WAAW,EAAE,MAAMJ,CAAC,EAAE,EAAEI,EAAE,mBAAmB,CAAC,EAAE,OAAOA,EAAE,mBAAmBC,CAAC,EAAE,IAAI,CAAC,EAAEA,CAAC,CAAC,IAAIohH,IAAG,CAAC,WAAWllG,GAAG,YAAY,OAAO,WAAWilG,EAAE,EAAME,IAAGjD,GAAGjiG,EAAE,EAAMmlG,GAAG,SAASC,IAAI9hH,EAAE,CAAC6hH,GAAG7hH,EAAE,KAAK,MAAM2c,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASolG,IAAI/hH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,aAAa,EAAE,aAAa,CAAC,EAAED,EAAE2B,EAAE/B,EAAE,UAAU,IAAIK,EAAE,MAAM,EAAE,GAAG2B,EAAEhC,EAAE,WAAWK,EAAE,MAAMA,EAAE,KAAK,EAAE4B,EAAEjC,EAAE,UAAU,IAAIgC,EAAE,MAAM,EAAE,GAAG,OAAO2/G,GAAG5/G,EAAE,EAAE,EAAEE,CAAC,EAAED,CAAC,CAAC,IAAI8/G,IAAG,CAAC,WAAWrlG,GAAG,YAAY,OAAO,UAAUmlG,IAAI,WAAWC,GAAG,EAAE,SAASE,GAAGjiH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAEM,EAAEumB,EAAE,eAAe7mB,EAAE,MAAM,KAAK,EAAE,GAAG,KAAK,EAAE,GAAGO,EAAE,EAAE,IAAIwC,GAAGA,EAAE,KAAK,EAAEs3C,EAAE,uBAAuB95C,EAAED,CAAC,EAAE,IAAI,EAAE+5C,EAAE,gBAAgB,EAAE,IAAIt3C,GAAGA,EAAE,KAAK,EAAEzC,CAAC,EAAE,EAAE,EAAE,OAAOyC,GAAG8jB,EAAE,cAAc9jB,EAAE,KAAK,EAAE,CAAC,EAAE,GAAG,EAAE,SAAS,EAAE,OAAOq8G,GAAG,CAAC,OAAO,CAAC,EAAE,EAAE,EAAE,EAAE,QAAQl/G,CAAC,CAAC,EAAE,IAAI+B,EAAE/B,EAAE,WAAW,EAAE,EAAE,GAAG,KAAK,EAAE,GAAG2mB,EAAE,cAAc,CAAC,IAAI,EAAE,OAAO5kB,EAAE,GAAG,EAAE,GAAG,QAAQ,SAAS,CAAC,IAAIc,EAAE,EAAE,IAAI4B,GAAG,CAAC,IAAIC,EAAEiiB,EAAE,cAAcliB,EAAE,MAAM,MAAMrE,CAAC,CAAC,EAAE,OAAOugH,GAAG,CAAC,OAAO,CAACl8G,CAAG,EAAE,QAAQzE,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG0E,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE5B,EAAED,EAAE,IAAI4B,IAAI,CAAC,KAAKzE,EAAE,SAASyE,EAAE,MAAM,EAAE,MAAMA,EAAE,KAAK,EAAE,EAAE,EAAE01C,EAAE,gBAAgBt3C,EAAE,IAAI4B,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAE,IAAIT,EAAEnB,EAAE,GAAG,MAAM,KAAK,EAAE,EAAE2uE,GAAG1uE,EAAE,EAAE,EAAE,GAAG,MAAMkB,CAAC,EAAEqD,EAAE8yC,EAAE,gBAAgB,EAAE,IAAI11C,GAAGA,EAAE,KAAK,EAAErE,CAAC,EAAE2B,EAAE,MAAMsF,EAAE,IAAIxC,EAAE7E,EAAE,UAAU,IAAI+B,EAAE,MAAM,EAAE,OAAO8C,EAAE,YAAYs1C,EAAE,uBAAuB,CAAC,EAAEt3C,EAAE,QAAQ4B,GAAGzE,EAAE,YAAYyE,EAAE,MAAM,CAAC,EAAE1C,CAAC,CAAC,IAAIC,EAAE2kB,EAAE,cAAc,EAAE,GAAG,MAAM,MAAM,EAAEvmB,CAAC,CAAC,EAAE6B,EAAE,EAAES,EAAE,EAAE,IAAIG,GAAG,CAAC,IAAIC,EAAE6jB,EAAE,cAAc9jB,EAAE,MAAM,MAAMzC,CAAC,CAAC,EAAE,OAAO6B,GAAGa,EAAEA,CAAC,CAAC,EAAEH,EAAE,EAAE,IAAIE,GAAG7C,EAAE,mBAAmB6C,CAAC,CAAC,EAAED,EAAE5C,EAAE,mBAAmB+B,CAAC,EAAE,QAAQc,EAAE,EAAEA,EAAEb,EAAEa,IAAI,CAAC,IAAIC,EAAED,EAAEZ,EAAE,QAAQ+B,EAAE,EAAEA,EAAErB,EAAE,OAAOqB,IAAI,CAAC,IAAI,EAAEtB,EAAEsB,GAAGqD,EAAExE,EAAE,EAAEgC,EAAElC,EAAEqB,GAAG,SAASqD,EAAEA,EAAE,CAAC,EAAEzE,EAAE,IAAIiC,EAAE/B,CAAC,EAAEA,GAAG,CAAC,CAAC,CAAC,OAAOf,CAAC,CAAC,IAAIigH,IAAG,CAAC,WAAWplG,GAAG,YAAY,OAAO,WAAWmlG,EAAE,EAAME,GAAG,SAASC,IAAIpiH,EAAE,CAACmiH,GAAGniH,EAAE,KAAK,MAAM+c,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASslG,IAAIriH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,CAAC,EAAE,EAAE,EAAED,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAG0B,EAAE3B,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,CAAC,QAAQ4B,EAAE,UAAUC,EAAE,IAAIS,EAAE,gBAAgBC,EAAE,WAAWC,CAAC,EAAE5C,EAAE6C,EAAEs3C,EAAE,wBAAwBv3C,CAAC,EAAEE,EAAEq3C,EAAE,kBAAkB95C,EAAE,MAAM,EAAE,MAAM2B,EAAEC,EAAES,EAAEC,EAAE,GAAGE,CAAC,EAAEmB,EAAElB,EAAE,aAAa,EAAEA,EAAE,YAAYuE,EAAEvE,EAAE,QAAQ,IAAI+B,EAAE/B,EAAE,QAAQ,MAAM2B,EAAE3B,EAAE,QAAQ,OAAO4B,EAAE5B,EAAE,QAAQ,KAAK6B,EAAE7B,EAAE,eAAe8B,EAAE9B,EAAE,cAAcwE,EAAExE,EAAE,aAAagC,EAAEhC,EAAE,YAAYyE,EAAEzE,EAAE,WAAWiC,EAAEjC,EAAE,YAAYkC,EAAElC,EAAE,QAAQ,OAAO,OAAO,EAAE,EAAE,GAAGA,EAAE,aAAa,eAAe,MAAM,IAAI,MAAM,oDAAoDA,EAAE,yCAAyC,EAAE,IAAImC,EAAE7E,EAAE,WAAW0C,EAAE,SAAS,SAAS,EAAEoC,EAAE9E,EAAE,UAAU,IAAI6E,EAAE,MAAM,EAAE,GAAG,OAAOg9G,GAAG,EAAE5hH,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG0B,EAAEiC,EAAE,EAAEqD,EAAExC,EAAEJ,EAAEC,EAAEM,EAAEL,EAAEC,EAAE0C,EAAExC,EAAEyC,EAAExC,EAAEG,CAAC,EAAED,CAAC,CAAC,IAAIm9G,IAAG,CAAC,WAAWvlG,GAAG,YAAY,OAAO,UAAUqlG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIxiH,EAAE,CAACuiH,GAAGviH,EAAE,KAAK,MAAMid,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASwlG,IAAIziH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,OAAO,CAAC,EAAEL,EAAE,CAAC,QAAQ,EAAE,IAAI+B,EAAE,WAAWC,EAAE,gBAAgBC,EAAE,WAAWS,CAAC,EAAEtC,EAAEuC,EAAE,EAAEC,EAAEu3C,EAAE,wBAAwBn4C,CAAC,EAAEa,EAAEs3C,EAAE,kBAAkBz3C,EAAE,EAAE,MAAM,EAAEC,EAAEZ,EAAEE,EAAE,GAAGW,CAAC,EAAE,CAAC,UAAUE,EAAE,aAAakB,EAAE,YAAY,EAAE,WAAWqD,EAAE,SAASxC,EAAE,QAAQJ,EAAE,YAAYC,EAAE,UAAUC,EAAE,SAASC,EAAE,aAAa0C,EAAE,YAAYxC,CAAC,EAAEjC,EAAE0E,EAAEvD,EAAE,EAAEnB,EAAE,QAAQ,IAAIkC,EAAE,EAAE,EAAElC,EAAE,QAAQ,KAAKmC,EAAEnC,EAAE,aAAa,eAAeoC,EAAE0hB,EAAE,eAAe9jB,EAAE,OAAO,EAAEqC,EAAEyhB,EAAE,eAAetmB,EAAE,KAAK,EAAE,CAAC8E,EAAEC,EAAE2C,CAAC,EAAE4e,EAAE,eAAe,EAAE,KAAK,EAAElf,EAAExC,EAAE,GAAG+C,EAAEhD,EAAEC,EAAE,GAAGA,EAAE,GAAGgD,EAAGjD,EAAEC,EAAE,GAAG,EAAEiD,EAAGlD,EAAE,EAAEC,EAAE,GAAGkD,GAAGjD,EAAE,GAAGkD,GAAGpD,EAAEE,EAAE,GAAGA,EAAE,GAAGmD,GAAGrD,EAAEE,EAAE,GAAG,EAAEuB,GAAGzB,EAAE,EAAEE,EAAE,GAAGqD,GAAG,EAAE,WAAW1F,EAAE,QAAQ,SAAS,EAAE2F,GAAG,EAAE,UAAU,IAAID,GAAG,MAAM,EAAE,GAAGE,GAAG,EAAE,UAAU,IAAIpI,EAAE,MAAM,EAAE,GAAGqI,GAAG,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,OAAO25G,GAAG55G,GAAGC,GAAG5F,EAAEkB,EAAE,EAAEa,EAAEJ,EAAE4C,EAAE1C,EAAEC,EAAEF,EAAE4C,EAAExC,EAAEyC,EAAExC,EAAEI,EAAEC,EAAE2C,EAAEN,EAAEO,EAAEC,EAAGC,EAAGC,GAAGC,GAAGC,GAAG5B,GAAG+B,EAAE,EAAED,EAAE,CAAC,IAAIi6G,IAAG,CAAC,WAAWzlG,GAAG,YAAY,OAAO,UAAUulG,IAAI,WAAWC,GAAG,EAAME,IAAGhE,GAAGthG,EAAE,EAAMulG,IAAGjE,GAAGrhG,EAAE,EAAMulG,IAAI,SAAS7iH,EAAE,CAACA,EAAEA,EAAE,SAAS,GAAG,WAAWA,EAAEA,EAAE,QAAQ,GAAG,SAAS,GAAG6iH,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,SAASC,IAAI/iH,EAAE,CAAC8iH,GAAG9iH,EAAE,KAAK,MAAMyd,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,QAAQ,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASulG,IAAIhjH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,EAAE,mBAAmB,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,MAAM2B,EAAE,MAAMC,EAAE,OAAOC,CAAC,EAAEjC,EAAE0C,EAAEV,EAAE,MAAM,GAAG,CAACW,EAAEC,CAAC,EAAE,EAAEC,EAAE,CAACH,EAAEC,EAAEC,EAAEb,EAAE,MAAM,EAAE,EAAEe,EAAE,EAAE,UAAU,IAAIf,EAAE,MAAM,EAAEiC,EAAEjC,EAAE,QAAQ,YAAYiC,EAAEw9G,GAAG,CAAC,QAAQ,EAAE,OAAO,CAAC,EAAEz/G,CAAC,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAEe,EAAE,EAAE,UAAU,IAAIkB,EAAE,MAAM,GAAG,IAAI,EAAElB,EAAE,GAAGuE,EAAE,EAAE,UAAU,IAAIrF,EAAE,MAAM,EAAE,GAAG6C,EAAE,EAAE,UAAU,IAAI5C,EAAE,MAAM,EAAE,GAAGwC,EAAE,EAAE,WAAW5B,EAAE,SAAS,EAAE6B,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGE,EAAE,IAAI,WAAW,IAAI,WAAW5C,EAAE,KAAK,EAAE,MAAM,EAAE,OAAO6gH,GAAG,EAAEv7G,EAAExC,EAAEnC,EAAEiC,EAAEhC,EAAEC,EAAE+/G,GAAGtiH,GAAG,EAAEqE,CAAC,EAAEV,GAAG,MAAM,EAAE,YAAYA,EAAE,MAAM,EAAES,CAAC,CAAC,IAAIs+G,IAAG,CAAC,WAAWxlG,GAAG,YAAY,OAAO,UAAUslG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAInjH,EAAE,CAACkjH,GAAGljH,EAAE,KAAK,MAAMud,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS6lG,IAAIpjH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU,EAAE,QAAQ0B,CAAC,EAAE3B,EAAE4B,EAAE3B,EAAE,MAAM,OAAOsmB,EAAE,OAAOtmB,EAAE,QAAQ,WAAWA,EAAE,QAAQ,QAAQ,IAAI,4BAA4BA,EAAE,mCAAmC,EAAE,IAAI4B,EAAEk4C,EAAE,mBAAmB,CAAC,CAAC,EAAEn4C,CAAC,EAAEU,EAAErC,EAAE4B,IAAI,OAAOS,EAAE48G,GAAG,CAAC,OAAO,CAAC,EAAEj/G,CAAC,EAAE,MAAM,CAAC,KAAK4B,CAAC,EAAE,QAAQjC,CAAC,CAAC,GAAG,IAAI2C,EAAEw3C,EAAE,iBAAiB,EAAEn4C,CAAC,EAAE,GAAGm4C,EAAE,2BAA2B,UAAU,CAACx3C,CAAC,EAAEX,CAAC,EAAE,IAAIY,EAAE5C,EAAE,WAAW0C,EAAE,MAAMA,EAAE,KAAK,EAAEG,EAAEH,EAAE,MAAMC,GAAGG,EAAE9C,EAAE,UAAU,IAAI0C,EAAE,MAAM,EAAE,GAAGsB,EAAEhE,EAAE,UAAU,IAAI4C,EAAE,MAAM,EAAE,GAAGogH,GAAGlgH,EAAE,EAAE,EAAE,EAAEf,EAAE,EAAE,EAAEc,EAAEmB,EAAEm6G,GAAG99G,EAAE,MAAM,EAAE,IAAI,EAAEuC,EAAE,GAAGX,IAAI,KAAK,CAAC,IAAIoF,EAAE8yC,EAAE,uBAAuBl4C,CAAC,EAAE,EAAEq9G,GAAG,CAAC,OAAO,CAAC,EAAE18G,CAAC,EAAE,MAAM,CAAC,KAAKyE,CAAC,EAAE,QAAQrH,CAAC,CAAC,EAAEA,EAAE,YAAY0C,EAAE,MAAM,EAAE1C,EAAE,YAAY4C,EAAE,MAAM,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIugH,IAAG,CAAC,WAAW9lG,GAAG,YAAY,OAAO,UAAU4lG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIvjH,EAAE,CAACsjH,GAAGtjH,EAAE,KAAK,MAAMwd,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASgmG,IAAIxjH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU,EAAE,QAAQ0B,CAAC,EAAE3B,EAAE4B,EAAE3B,EAAE,MAAM,OAAOsmB,EAAE,OAAOtmB,EAAE,QAAQ,WAAWA,EAAE,QAAQ,QAAQ,IAAI,2BAA2BA,EAAE,mCAAmC,EAAE,IAAI4B,EAAEk4C,EAAE,mBAAmB,CAAC,CAAC,EAAEn4C,CAAC,EAAEU,EAAErC,EAAE4B,IAAI,OAAOS,EAAE48G,GAAG,CAAC,OAAO,CAAC,EAAEj/G,CAAC,EAAE,MAAM,CAAC,KAAK4B,CAAC,EAAE,QAAQjC,CAAC,CAAC,GAAG,IAAI2C,EAAEw3C,EAAE,iBAAiB,EAAEn4C,CAAC,EAAE,GAAGm4C,EAAE,2BAA2B,SAAS,CAACx3C,CAAC,EAAEX,CAAC,EAAE,IAAIY,EAAE5C,EAAE,WAAW0C,EAAE,MAAMA,EAAE,KAAK,EAAEG,EAAEH,EAAE,MAAMC,GAAGG,EAAE9C,EAAE,UAAU,IAAI0C,EAAE,MAAM,EAAE,GAAGsB,EAAEhE,EAAE,UAAU,IAAI4C,EAAE,MAAM,EAAE,GAAGwgH,GAAGtgH,EAAE,EAAE,EAAE,EAAEf,EAAE,EAAE,EAAEc,EAAEmB,EAAEm6G,GAAG99G,EAAE,MAAM,EAAE,IAAI,EAAEuC,EAAE,GAAGX,IAAI,KAAK,CAAC,IAAIoF,EAAE8yC,EAAE,uBAAuBl4C,CAAC,EAAE,EAAEq9G,GAAG,CAAC,OAAO,CAAC,EAAE18G,CAAC,EAAE,MAAM,CAAC,KAAKyE,CAAC,EAAE,QAAQrH,CAAC,CAAC,EAAEA,EAAE,YAAY0C,EAAE,MAAM,EAAE1C,EAAE,YAAY4C,EAAE,MAAM,CAAC,CAAC,OAAO,CAAC,CAAC,IAAI2gH,IAAG,CAAC,WAAWjmG,GAAG,YAAY,OAAO,UAAU+lG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI3jH,EAAE,CAAC0jH,GAAG1jH,EAAE,KAAK,MAAM2d,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,SAAS,QAAQ,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASimG,IAAI5jH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAEL,EAAE,CAAC,UAAU,EAAE,WAAW,CAAC,EAAEI,EAAE2B,EAAE1B,EAAE,MAAM,GAAG2B,EAAE,IAAI,OAAO3B,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG4B,EAAE,IAAI,OAAO5B,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGqC,EAAE,IAAI,OAAOrC,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGsC,EAAEX,EAAE,EAAEY,EAAEX,EAAE,EAAEY,EAAEH,GAAG,EAAE,GAAGI,EAAE,IAAI,OAAO,CAACf,EAAEY,EAAEC,EAAEC,CAAC,EAAE,CAACd,EAAEc,EAAEF,EAAEC,CAAC,EAAEoB,EAAE,EAAE,WAAWlB,EAAE,SAAS,EAAEuE,EAAE,EAAE,UAAU,IAAIhH,EAAE,MAAM,EAAE,GAAG,EAAE,IAAI,WAAW,IAAI,WAAWsmB,EAAE,eAAetmB,EAAE,KAAK,CAAC,EAAE,MAAM,EAAEoE,EAAE,IAAI,WAAW,IAAI,WAAW3B,CAAC,EAAE,MAAM,EAAE4B,EAAE,IAAI,WAAW,IAAI,WAAWiiB,EAAE,eAAe7jB,CAAC,CAAC,EAAE,MAAM,EAAE6B,EAAE,EAAE,UAAU,IAAIX,EAAE,MAAM,EAAE,GAAG,OAAOw/G,GAAGn8G,EAAE,EAAE,IAAI,OAAO,EAAE,EAAE,EAAEhH,EAAE,MAAM,OAAO,EAAEoE,EAAEC,EAAE5B,EAAE,OAAO6B,CAAC,EAAEX,CAAC,CAAC,IAAI2/G,IAAG,CAAC,WAAWlmG,GAAG,YAAY,OAAO,UAAUgmG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI/jH,EAAE,CAAC8jH,GAAG9jH,EAAE,KAAK,MAAM4d,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASomG,IAAIhkH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,CAAC,EAAE,EAAE,EAAED,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAG0B,EAAE3B,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,CAAC,QAAQ4B,EAAE,UAAUC,EAAE,IAAIS,EAAE,gBAAgBC,CAAC,EAAE3C,EAAE4C,EAAEX,GAAG,KAAK,CAAC,EAAE,CAAC,EAAEA,EAAEY,EAAEs3C,EAAE,kBAAkB95C,EAAE,MAAM,EAAE,MAAM2B,EAAEY,EAAEF,EAAEC,EAAE,EAAE,EAAEG,EAAED,EAAE,aAAamB,EAAEnB,EAAE,YAAY,EAAEA,EAAE,QAAQ,IAAIwE,EAAExE,EAAE,QAAQ,MAAMgC,EAAEhC,EAAE,QAAQ,OAAO4B,EAAE5B,EAAE,QAAQ,KAAK6B,EAAE7B,EAAE,eAAe8B,EAAE9B,EAAE,cAAc+B,EAAE/B,EAAE,aAAayE,EAAEzE,EAAE,YAAYiC,EAAEjC,EAAE,WAAW0E,EAAE1E,EAAE,YAAYkC,EAAElC,EAAE,QAAQ,OAAO,OAAO,EAAE,EAAE,GAAGA,EAAE,aAAa,eAAe,MAAM,IAAI,MAAM,mEAAmEA,EAAE,yCAAyC,EAAE,IAAImC,EAAE5E,EAAE,WAAWyC,EAAE,SAAS,SAAS,EAAEoC,EAAE7E,EAAE,UAAU,IAAI4E,EAAE,MAAM,EAAE,GAAG,OAAO4+G,GAAG,EAAEvjH,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG0B,EAAEe,EAAEkB,EAAE,EAAEqD,EAAExC,EAAEJ,EAAEM,EAAEL,EAAEC,EAAEC,EAAE0C,EAAExC,EAAEyC,EAAEtC,CAAC,EAAED,CAAC,CAAC,IAAI++G,IAAG,CAAC,WAAWrmG,GAAG,YAAY,OAAO,UAAUmmG,IAAI,WAAWC,GAAG,EAAME,IAAGvF,GAAGtgG,EAAE,EAAM8lG,IAAI,GAAGC,IAAGvF,GAAGrgG,GAAG2lG,IAAI,MAAM,EAAME,IAAG1F,GAAGlgG,GAAG,SAAS,EAAE,SAAS6lG,GAAGtkH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQI,CAAC,EAAEN,EAAE,CAAC,MAAMO,CAAC,EAAE,EAAE,CAAC,IAAI,CAAC,EAAEL,EAAE,EAAEK,EAAE,MAAM,OAAO0B,EAAE1B,EAAE,MAAM,MAAM,EAAE2B,EAAE,EAAE,OAAO,EAAE,IAAI2kB,EAAE,OAAO,EAAE,EAAE,IAAI,EAAE,IAAI,iCAAiC,EAAE,EAAE,OAAO,IAAI,EAAE3kB,EAAE,EAAE,EAAE,GAAGD,EAAE,OAAOC,EAAE,EAAE,CAAC,EAAE2+G,GAAG,CAAC,OAAO,CAAC,EAAEtgH,CAAC,EAAE,QAAQD,EAAE,MAAM,CAAC,MAAM2B,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIsiH,IAAG,CAAC,WAAW7lG,GAAG,YAAY,OAAO,WAAW4lG,EAAE,EAAE,SAASE,GAAGxkH,EAAE,CAAC,GAAG,CAAC,MAAM,CAAC,MAAM,EAAE,MAAME,EAAE,MAAMI,CAAC,EAAE,QAAQC,CAAC,EAAEP,EAAE,EAAEO,EAAE,WAAW,EAAED,CAAC,EAAE,OAAOC,EAAE,mBAAmB,CAAC,EAAE,KAAKL,CAAC,EAAE,CAAC,CAAC,IAAIukH,IAAG,CAAC,WAAW5lG,GAAG,YAAY,OAAO,WAAW2lG,EAAE,EAAME,GAAG,SAASC,IAAI3kH,EAAE,CAAC0kH,GAAG1kH,EAAE,KAAK,MAAM8e,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS8lG,IAAI5kH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMM,CAAC,EAAE,EAAEC,EAAEL,EAAE,WAAWI,EAAE,MAAMA,EAAE,KAAK,EAAE,EAAEJ,EAAE,UAAU,IAAII,EAAE,MAAM,EAAE,GAAG,EAAEJ,EAAE,UAAU,IAAIK,EAAE,MAAM,EAAE,GAAG,CAAC0B,EAAEC,EAAEC,EAAES,CAAC,EAAEtC,EAAE,MAAM,OAAOokH,GAAG,EAAEziH,EAAEC,EAAEC,EAAES,EAAE,CAAC,EAAErC,CAAC,CAAC,IAAIskH,IAAG,CAAC,WAAW/lG,GAAG,YAAY,OAAO,WAAW8lG,IAAI,UAAUD,GAAG,EAAMG,IAAGnG,GAAG5/F,EAAE,EAAMgmG,IAAI,GAAGC,IAAGnG,GAAG7/F,GAAG+lG,GAAG,EAAME,GAAG,SAASC,IAAIllH,EAAE,CAACilH,GAAGjlH,EAAE,KAAK,MAAMif,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASkmG,IAAInlH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,gBAAgBO,CAAC,EAAED,EAAE,CAAC,EAAE,EAAE,KAAK,EAAE,SAAS2B,EAAE,OAAOC,EAAE,MAAMC,CAAC,EAAEjC,EAAE0C,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAE,EAAE,UAAU,IAAIb,EAAE,MAAM,EAAE,GAAGc,EAAEb,GAAG,KAAK,EAAE,UAAU,IAAIA,EAAE,MAAM,EAAE,GAAG,EAAEc,EAAEb,GAAG,KAAK,EAAE,UAAU,IAAIA,EAAE,MAAM,EAAE,GAAG,EAAE+B,EAAE,EAAE,WAAW,EAAE,MAAM,EAAE,KAAK,EAAE,GAAG2iB,EAAE,cAAc,EAAE,KAAK,IAAI,EAAE,OAAO3iB,EAAE,IAAI,EAAE,EAAE,UAAU,IAAIA,EAAE,MAAM,EAAE,GAAG,OAAO+gH,GAAGriH,EAAEC,EAAEC,EAAEC,EAAEC,EAAEzC,EAAE,CAAC,EAAE2D,CAAC,CAAC,IAAIkhH,IAAG,CAAC,WAAWnmG,GAAG,YAAY,OAAO,UAAUimG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAItlH,EAAE,CAACqlH,GAAGrlH,EAAE,KAAK,MAAM8lB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASy/F,IAAIvlH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,QAAQC,EAAE,IAAIC,EAAE,UAAUS,EAAE,WAAWC,EAAE,gBAAgBC,EAAE,WAAWC,EAAE,eAAeC,CAAC,EAAE9C,EAAEgE,EAAEm2C,EAAE,kBAAkB95C,EAAE,MAAM,EAAE,MAAM2B,EAAEU,EAAET,EAAEW,CAAC,EAAE,EAAEw7G,GAAGv7G,GAAG,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,GAAGA,qEAAqE,EAAE,IAAIwE,EAAEjH,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAGwE,EAAEzE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGqE,EAAET,EAAE,YAAYU,EAAE,EAAE,GAAG,GAAG,KAAK,CAAC,IAAI2D,GAAGjI,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGiI,GAAG,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,sDAAsDA,GAAG,MAAM,SAAS,EAAE,GAAGA,GAAG,MAAM,KAAK5D,EAAE,MAAM,IAAI,MAAM,2BAA2B4D,GAAG,wDAAwD5D,IAAI,EAAEC,EAAE2D,GAAG,EAAE,CAAC,IAAI1D,EAAEX,EAAE,aAAaY,EAAEZ,EAAE,YAAYsD,EAAEtD,EAAE,QAAQ,IAAIc,EAAEd,EAAE,QAAQ,MAAMuD,EAAEvD,EAAE,QAAQ,OAAOe,EAAEf,EAAE,QAAQ,KAAKgB,EAAEhB,EAAE,eAAeiB,EAAEjB,EAAE,cAAckB,EAAElB,EAAE,aAAamB,EAAEnB,EAAE,YAAYoB,EAAEpB,EAAE,WAAW+D,EAAE/D,EAAE,QAAQ,OAAO,OAAO,EAAE,EAAEyD,EAAEzD,EAAE,UAAUgE,EAAEhE,EAAE,SAASiE,EAAGjE,EAAE,QAAQ,GAAGrB,IAAI,OAAO,MAAM,IAAI,MAAM,yDAAyDA,wBAAwB,EAAE,IAAIuF,EAAG9H,EAAE,WAAW4D,EAAE,SAAS,SAAS,EAAEmE,GAAG/H,EAAE,UAAU,IAAI8H,EAAG,MAAM,EAAE,GAAGE,GAAGrG,GAAG,KAAK,EAAE3B,EAAE,UAAU,IAAI2B,EAAE,MAAM,EAAE,GAAG,OAAOojH,GAAG99G,EAAEI,EAAEO,EAAEC,EAAGpD,EAAEF,EAAEC,EAAEF,EAAE4C,EAAExC,EAAEyC,EAAExC,EAAEgD,EAAE/C,EAAEC,EAAEC,EAAEC,EAAEC,EAAEX,EAAE,EAAE2D,GAAGtF,GAAG,EAAEqF,EAAE,EAAED,CAAE,CAAC,IAAIo9G,IAAG,CAAC,WAAW1/F,GAAG,YAAY,OAAO,UAAUw/F,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI1lH,EAAE,CAACylH,GAAGzlH,EAAE,KAAK,MAAM+lB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS4/F,IAAI3lH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,QAAQC,EAAE,IAAIC,EAAE,UAAUS,EAAE,WAAWC,EAAE,gBAAgBC,EAAE,WAAWC,EAAE,eAAeC,CAAC,EAAE9C,EAAEgE,EAAEm2C,EAAE,kBAAkB95C,EAAE,MAAM,EAAE,MAAM2B,EAAEU,EAAET,EAAEW,EAAE,EAAE,EAAE,EAAEw7G,GAAGv7G,GAAG,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,GAAGA,8EAA8E,EAAE,IAAIwE,EAAEjH,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAGwE,EAAEzE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGqE,EAAET,EAAE,YAAYU,EAAE,EAAE,GAAG,GAAG,KAAK,CAAC,IAAI2D,GAAGjI,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGiI,GAAG,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,+DAA+DA,GAAG,MAAM,SAAS,EAAE,GAAGA,GAAG,MAAM,KAAK5D,EAAE,MAAM,IAAI,MAAM,oCAAoC4D,GAAG,wDAAwD5D,IAAI,EAAEC,EAAE2D,GAAG,EAAE,CAAC,IAAI1D,EAAEX,EAAE,aAAaY,EAAEZ,EAAE,YAAYsD,EAAEtD,EAAE,QAAQ,IAAIc,EAAEd,EAAE,QAAQ,MAAMuD,EAAEvD,EAAE,QAAQ,OAAOe,EAAEf,EAAE,QAAQ,KAAKgB,EAAEhB,EAAE,eAAeiB,EAAEjB,EAAE,cAAckB,EAAElB,EAAE,aAAamB,EAAEnB,EAAE,YAAYoB,EAAEpB,EAAE,WAAW+D,EAAE/D,EAAE,QAAQ,OAAO,OAAO,EAAE,EAAEyD,EAAEzD,EAAE,UAAUgE,EAAEhE,EAAE,SAASiE,EAAGjE,EAAE,QAAQ,GAAGrB,IAAI,OAAO,MAAM,IAAI,MAAM,kEAAkEA,wBAAwB,EAAE,IAAIuF,EAAG9H,EAAE,WAAW4D,EAAE,SAAS,SAAS,EAAEmE,GAAG/H,EAAE,UAAU,IAAI8H,EAAG,MAAM,EAAE,GAAGE,GAAGrG,GAAG,KAAK,EAAE3B,EAAE,UAAU,IAAI2B,EAAE,MAAM,EAAE,GAAG,OAAOwjH,GAAGl+G,EAAEI,EAAEO,EAAEC,EAAGpD,EAAEF,EAAEC,EAAEF,EAAE4C,EAAExC,EAAEyC,EAAExC,EAAEgD,EAAE/C,EAAEC,EAAEC,EAAEC,EAAEC,EAAEX,EAAE,EAAE2D,GAAGtF,GAAG,EAAEqF,EAAE,EAAED,CAAE,CAAC,IAAIw9G,IAAG,CAAC,WAAW7/F,GAAG,YAAY,OAAO,UAAU2/F,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI9lH,EAAE,CAAC6lH,GAAG7lH,EAAE,KAAK,MAAMmf,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,QAAQ,CAAC,CAAC,CAAC,SAAS4mG,IAAI/lH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,CAAC,EAAEF,EAAE,CAAC,OAAOM,EAAE,QAAQC,CAAC,EAAEL,EAAE,CAAC,EAAE,EAAE+B,EAAEC,CAAC,EAAE2zB,GAAG,mBAAmBv1B,EAAEC,CAAC,EAAE4B,EAAE,EAAE,WAAW,EAAE7B,EAAE,KAAK,EAAE,GAAG,IAAI,EAAE,OAAO6B,EAAE,IAAIS,EAAErC,EAAE,MAAMsC,EAAED,EAAEA,EAAE,OAAO,GAAGG,EAAE,EAAE,UAAU,IAAIzC,EAAE,MAAM,EAAE,GAAG,EAAE,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAG4D,EAAE,IAAI,WAAW,IAAI,WAAWjC,CAAC,EAAE,MAAM,EAAEqF,EAAE,EAAE,UAAU,IAAIpF,EAAE,MAAM,EAAE,GAAG,OAAO0jH,GAAG9iH,EAAEs7G,GAAG/9G,EAAE,OAAO,EAAE,EAAEuC,EAAEZ,EAAEkC,EAAEoD,CAAC,EAAEpF,CAAC,CAAC,IAAI6jH,IAAG,CAAC,WAAW7mG,GAAG,YAAY,OAAO,UAAU2mG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIlmH,EAAE,CAACimH,GAAGjmH,EAAE,KAAK,MAAM,SAAS,KAAK,CAAC,SAAS,SAAS,QAAQ,SAAS,SAAS,SAAS,QAAQ,QAAQ,CAAC,CAAC,CAAC,SAASmmH,IAAInmH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,QAAQ,CAAC,EAAEL,EAAE,CAAC,KAAK,EAAE,UAAU+B,CAAC,EAAE3B,EAAE4B,EAAE2kB,EAAE,eAAe,EAAEtmB,EAAE,KAAK,EAAE,GAAG4B,EAAE,EAAE,SAAS,EAAE,MAAM,EAAES,EAAErC,EAAE,MAAM2B,GAAG,QAAQuF,EAAE,EAAEA,EAAEtF,EAAE,OAAO,EAAEsF,EAAE,CAAC,IAAIxC,EAAE9C,EAAEsF,GAAGof,EAAE,OAAO5hB,GAAGrC,EAAE,GAAGqC,GAAG,EAAE,IAAI,6BAA6BA,mBAAmBrC,EAAE,IAAI,CAAC,CAAC,IAAIC,EAAEw3C,EAAE,aAAa,yBAAyB95C,EAAE,EAAE2B,EAAED,CAAC,EAAEa,EAAE+9G,GAAG,CAAC,OAAO,CAAC,EAAEtgH,CAAC,EAAE,MAAM,CAAC,MAAM,CAACsC,EAAE,UAAUA,EAAE,UAAUA,EAAE,QAAQA,EAAE,SAAS,CAAC,EAAE,QAAQ,CAAC,CAAC,EAAEE,EAAE8jB,EAAE,cAAc,EAAE,KAAK,EAAE7jB,EAAE69G,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,MAAM,CAAC,MAAM,CAACh+G,EAAE,UAAUE,EAAEF,EAAE,SAAS,CAAC,EAAE,QAAQ,CAAC,CAAC,EAAEqB,EAAE,CAACrB,EAAE,UAAUA,EAAE,UAAUE,EAAEF,EAAE,UAAUA,EAAE,SAAS,EAAE,EAAE,EAAE,WAAWqB,EAAE3D,EAAE,KAAK,EAAE,GAAGsmB,EAAE,cAActmB,EAAE,KAAK,IAAI,EAAE,OAAO,EAAE,IAAIgH,EAAEzE,EAAE,MAAM,OAAO,EAAE6B,EAAE,EAAE,UAAU,IAAI7B,EAAE,MAAM,EAAE,GAAG+B,EAAE,EAAE,UAAU,IAAI7B,EAAE,MAAM,EAAE,GAAG8B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG0C,EAAE,IAAI,WAAW,IAAI,WAAWqf,EAAE,eAAe/jB,EAAE,KAAK,CAAC,EAAE,MAAM,EAAEkC,EAAE,IAAI,WAAW,IAAI,WAAW6hB,EAAE,eAAe3iB,CAAC,CAAC,EAAE,MAAM,EAAE,OAAO+hH,GAAGthH,EAAE05G,GAAG99G,EAAE,OAAOiH,EAAED,EAAE1C,EAAEhC,EAAE,UAAUmC,EAAEF,CAAC,EAAE,EAAE,YAAYhC,EAAE,MAAM,EAAE,EAAE,YAAYE,EAAE,MAAM,EAAE,EAAE,MAAMH,EAAE,YAAY,CAAC,CAAC,IAAIujH,IAAG,CAAC,WAAWlnG,GAAG,YAAY,OAAO,UAAUgnG,IAAI,WAAWC,GAAG,EAAME,IAAI,GAAGC,IAAGzH,GAAGz/F,GAAGinG,IAAI,MAAM,EAAME,IAAI,GAAGC,IAAG3H,GAAGx/F,GAAGknG,IAAI,MAAM,EAAME,GAAG,SAASC,IAAI1mH,EAAE,CAACymH,GAAGzmH,EAAE,KAAK,MAAM4f,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS+mG,IAAI3mH,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,MAAM,CAAC,MAAME,CAAC,EAAE,QAAQI,CAAC,EAAEN,EAAEO,EAAED,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,EAAEA,EAAE,WAAW,EAAE,MAAM,SAAS,EAAE,GAAGumB,EAAE,cAAc,EAAE,KAAK,IAAI,EAAE,CAAC,IAAI,EAAEvmB,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGmmH,GAAGlmH,EAAE89G,GAAG,EAAE,OAAOn+G,EAAE,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,IAAI0mH,IAAG,CAAC,WAAWhnG,GAAG,YAAY,OAAO,UAAU8mG,IAAI,WAAWC,GAAG,EAAME,IAAI,GAAGC,IAAGjI,GAAGh/F,GAAGgnG,IAAI,MAAM,EAAME,IAAI,GAAGC,IAAGnI,GAAG/+F,GAAGinG,IAAI,MAAM,EAAME,IAAGtI,GAAG3+F,EAAE,EAAMknG,IAAI,GAAGC,IAAGtI,GAAG3+F,GAAGgnG,IAAI,MAAM,EAAME,IAAGzI,GAAGx+F,EAAE,EAAMknG,IAAI,GAAGC,IAAGzI,GAAGz+F,GAAGinG,IAAI,MAAM,EAAME,IAAI,GAAGC,IAAG3I,GAAGx+F,GAAGknG,IAAI,MAAM,EAAME,GAAG,SAASC,IAAI1nH,EAAE,CAACynH,GAAGznH,EAAE,KAAK,MAAM0gB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASinG,IAAI3nH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,iBAAiBO,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEJ,EAAEgC,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,EAAE,EAAE,CAAC,WAAWU,EAAE,KAAK,EAAE,aAAaE,EAAE,mBAAmBC,CAAC,EAAE68G,GAAG,EAAEr/G,EAAE,CAAC,EAAE,GAAGwC,EAAE,CAAC,IAAI4B,EAAE,EAAE,UAAU,IAAI/B,EAAE,MAAM,EAAE,GAAG,EAAEA,EAAEV,EAAEyC,CAAC,CAAC,IAAI3B,EAAE,EAAE,MAAM,OAAOq3C,EAAE,2BAA2B,MAAM,EAAEr3C,CAAC,EAAE,GAAG,CAACkB,EAAEC,CAAC,EAAEk2C,EAAE,0BAA0B,EAAE,MAAM,CAAC,EAAE9yC,EAAEsf,EAAE,cAAc1iB,CAAC,EAAE,EAAE,EAAE,WAAWD,EAAE,EAAE,KAAK,EAAE,GAAG2iB,EAAE,cAAc,EAAE,KAAK,IAAI,EAAE,CAAC,IAAIliB,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG8iH,GAAGvlH,EAAEm8G,GAAG,EAAE,OAAO92G,EAAE5C,CAAC,CAAC,CAAC,GAAG5B,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAE,EAAE,CAAC,IAAI+B,EAAE01C,EAAE,qBAAqB,EAAE,MAAMv3C,CAAC,EAAE,EAAE,MAAM6B,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIijH,IAAG,CAAC,WAAWlnG,GAAG,YAAY,OAAO,UAAUgnG,IAAI,WAAWC,GAAG,EAAME,IAAI,GAAGC,IAAGjJ,GAAGl+F,GAAGknG,GAAG,EAAME,GAAG,SAASC,IAAIhoH,EAAE,CAAC+nH,GAAG/nH,EAAE,KAAK,MAAM4gB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASqnG,IAAIjoH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQI,CAAC,EAAEN,EAAEO,EAAE,EAAE,EAAE,EAAED,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAGsmB,EAAE,OAAOtmB,EAAE,QAAQ,UAAU,IAAI,0DAA0DA,EAAE,QAAQ,EAAE,GAAG,CAAC,WAAW,EAAE,QAAQ0B,EAAE,IAAIC,EAAE,gBAAgBC,CAAC,EAAEjC,EAAE0C,EAAEy3C,EAAE,kBAAkB95C,EAAE,MAAM,EAAE0B,EAAE,EAAEC,EAAEC,CAAC,EAAEU,EAAED,EAAE,aAAaE,EAAEF,EAAE,YAAYG,EAAEH,EAAE,QAAQ,IAAII,EAAEJ,EAAE,QAAQ,MAAMsB,EAAEtB,EAAE,QAAQ,OAAO,EAAEA,EAAE,QAAQ,KAAK2E,EAAE3E,EAAE,eAAemC,EAAEnC,EAAE,cAAc+B,EAAE/B,EAAE,aAAagC,EAAEhC,EAAE,YAAYiC,EAAEjC,EAAE,WAAWkC,EAAElC,EAAE,YAAY,GAAGA,EAAE,aAAa,eAAe,MAAM,IAAI,MAAM,6CAA6CA,EAAE,yCAAyC,EAAE,IAAI4E,EAAElH,EAAE,WAAWsC,EAAE,SAAS,SAAS,EAAEoC,EAAE1E,EAAE,UAAU,IAAIkH,EAAE,MAAM,EAAE,GAAG,OAAOugH,GAAG,EAAExnH,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGsC,EAAEC,EAAEC,EAAEC,EAAEkB,EAAE,EAAEqD,EAAExC,EAAEJ,EAAEC,EAAEC,EAAEC,EAAEE,CAAC,EAAEwC,CAAC,CAAC,IAAI0gH,IAAG,CAAC,WAAWtnG,GAAG,YAAY,OAAO,UAAUonG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIpoH,EAAE,CAACmoH,GAAGnoH,EAAE,KAAK,MAAMihB,GAAG,KAAK,CAAC,wBAAwB,CAAC,CAAC,CAAC,SAASonG,IAAIroH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,KAAKO,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEJ,EAAE+B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAED,EAAEE,EAAE,EAAE,CAAC,WAAWS,EAAE,KAAKC,EAAE,aAAaC,EAAE,mBAAmBC,CAAC,EAAE68G,GAAG,EAAEr/G,EAAE,CAAC,EAAEyC,EAAEH,EAAE,GAAGE,EAAE,CAAC,IAAI6B,EAAE,EAAE,UAAU,IAAIhC,EAAE,MAAM,EAAE,GAAGgC,IAAI3C,IAAIE,EAAES,EAAEV,EAAE0C,EAAE5B,EAAEq3C,EAAE,iBAAiBr3C,EAAE,OAAOb,EAAE,MAAM,MAAM,EAAE,CAACk4C,EAAE,2BAA2B,OAAOr3C,EAAEb,EAAE,MAAM,MAAM,EAAE,GAAG,CAAC+B,EAAE,CAAC,EAAEm2C,EAAE,0BAA0Bl4C,EAAE,MAAMa,CAAC,EAAEuE,EAAEsf,EAAE,cAAc,CAAC,EAAE9hB,EAAE5C,EAAEA,EAAE,QAAQ,YAAY4C,EAAE28G,GAAG,CAAC,QAAQ,EAAE,OAAO,CAAC,EAAEv/G,CAAC,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAED,EAAE,EAAE,UAAU,IAAI6C,EAAE,MAAM,EAAE,IAAI,IAAIJ,EAAE,EAAE,WAAWT,EAAE,SAAS,EAAE,GAAG2iB,EAAE,cAAc1kB,EAAE,KAAK,IAAI,EAAE,CAAC,IAAIyC,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGwjH,GAAGjmH,EAAEqF,EAAE3C,CAAC,CAAC,CAAC,GAAG7B,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAE,EAAE,CAAC,IAAIgC,EAAEy1C,EAAE,qBAAqB11C,EAAE,MAAM7B,CAAC,EAAE6B,EAAE,MAAMC,CAAC,CAAC,OAAOzC,EAAE,QAAQ,WAAW,EAAE,YAAY4C,EAAE,MAAM,EAAEJ,CAAC,CAAC,IAAI2jH,IAAG,CAAC,WAAWrnG,GAAG,YAAY,OAAO,UAAUmnG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIxoH,EAAE,CAACuoH,GAAGvoH,EAAE,KAAK,MAAMkhB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASunG,IAAIzoH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,KAAKO,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEJ,EAAE+B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAED,EAAEE,EAAE,EAAE,CAAC,WAAWS,EAAE,KAAKC,EAAE,aAAaC,EAAE,mBAAmBC,CAAC,EAAE68G,GAAG,EAAEr/G,EAAE,CAAC,EAAE,GAAGwC,EAAE,CAAC,IAAI4B,EAAE,EAAE,UAAU,IAAI/B,EAAE,MAAM,EAAE,GAAG+B,IAAI1C,IAAIE,EAAES,EAAEV,EAAEyC,EAAE,CAAC,IAAI3B,EAAEb,EAAE,MAAM,OAAOk4C,EAAE,2BAA2B,MAAMx3C,EAAEG,CAAC,EAAE,GAAG,CAACkB,EAAE,CAAC,EAAEm2C,EAAE,0BAA0Bl4C,EAAE,MAAMU,CAAC,EAAE0E,EAAEsf,EAAE,cAAc,CAAC,EAAE9hB,EAAE,EAAE,WAAWb,EAAE/B,EAAE,KAAK,EAAE,GAAG0kB,EAAE,cAAc1kB,EAAE,KAAK,IAAI,EAAE,CAAC,IAAIwC,EAAE,EAAE,UAAU,IAAII,EAAE,MAAM,EAAE,GAAGwjH,GAAGrmH,EAAEm8G,GAAG,EAAE,OAAO92G,EAAE5C,CAAC,CAAC,CAAC,GAAG5B,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAE,EAAE,CAAC,IAAI+B,EAAE01C,EAAE,qBAAqBt1C,EAAE,MAAMjC,CAAC,EAAEiC,EAAE,MAAMJ,CAAC,CAAC,OAAOI,CAAC,CAAC,IAAI2jH,IAAG,CAAC,WAAWxnG,GAAG,YAAY,OAAO,UAAUsnG,IAAI,WAAWC,GAAG,EAAME,IAAI,GAAGC,IAAG/J,GAAG19F,GAAGwnG,GAAG,EAAME,IAAI,SAAS7oH,EAAE,CAACA,EAAEA,EAAE,QAAQ,GAAG,UAAUA,EAAEA,EAAE,UAAU,GAAG,WAAW,GAAG6oH,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,SAASC,IAAI/oH,EAAE,CAAC8oH,GAAG9oH,EAAE,KAAK,MAAMohB,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,SAAS,QAAQ,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS4nG,IAAIhpH,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQE,EAAE,MAAM,CAAC,SAASI,EAAE,KAAKC,CAAC,CAAC,EAAEP,EAAE,EAAEM,EAAE,IAAI,CAAC0C,EAAEkB,IAAIlB,EAAE,GAAG,EAAE,MAAMkB,GAAGlB,EAAE,EAAE,EAAE,EAAE9C,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG+B,EAAE/B,EAAE,WAAW,EAAE,EAAE,KAAK,EAAEgC,EAAEhC,EAAE,UAAU,IAAI+B,EAAE,MAAM,EAAE,GAAGE,EAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,EAAES,EAAEtC,EAAE,IAAI0C,GAAGA,EAAE,EAAE,EAAEH,EAAEvC,EAAE,IAAI0C,GAAGA,EAAE,EAAE,EAAEF,EAAE,IAAI,WAAW,IAAI,WAAWF,CAAC,EAAE,MAAM,EAAEG,EAAE,IAAI,WAAW,IAAI,WAAWF,CAAC,EAAE,MAAM,EAAE,OAAOimH,GAAG,EAAE3mH,EAAE,EAAE,MAAM,OAAOk8G,GAAG,EAAE,OAAOv7G,EAAEC,EAAE8lH,GAAGtoH,GAAG2B,CAAC,EAAED,CAAC,CAAC,IAAIgnH,IAAG,CAAC,WAAW7nG,GAAG,YAAY,OAAO,WAAW4nG,IAAI,UAAUD,GAAG,EAAMG,IAAI,GAAGC,IAAGtK,GAAGt9F,GAAG2nG,GAAG,EAAME,IAAGzK,GAAGn9F,EAAE,EAAE,SAAS6nG,GAAGrpH,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,WAAWF,EAAE,KAAK,OAAO,OAAO,EAAE,CAAC,EAAEM,EAAEJ,EAAE,GAAGK,EAAEL,EAAE,GAAG,EAAEA,EAAE,GAAG,EAAEA,EAAE,GAAG,OAAOF,EAAE,KAAK,MAAM,CAAC,EAAE,CAAC,iBAAiBM,EAAE,aAAaC,EAAE,gBAAgB,EAAE,cAAc,CAAC,CAAC,CAAC,IAAI+oH,GAAG,SAASC,IAAIvpH,EAAE,CAACspH,GAAGtpH,EAAE,KAAK,MAAM0hB,GAAG,SAAS,CAAC,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS8nG,IAAIxpH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,aAAaO,EAAE,cAAc,EAAE,eAAe,CAAC,EAAED,EAAE,CAAC,MAAM2B,EAAE,OAAOC,CAAC,EAAEhC,EAAEiC,EAAE,EAAE,UAAU,IAAIF,EAAE,MAAM,EAAE,GAAGW,EAAE,EAAE,UAAU,IAAIV,EAAE,MAAM,EAAE,GAAGW,EAAEymH,GAAGnnH,EAAES,EAAE,EAAErC,EAAE,CAAC,EAAE,CAAC,iBAAiBuC,EAAE,aAAaC,EAAE,gBAAgBC,EAAE,cAAckB,CAAC,EAAEmlH,GAAG,EAAExmH,CAAC,EAAE,OAAO,EAAE,KAAK,MAAMG,CAAC,EAAE,EAAE,KAAK,MAAMkB,CAAC,EAAE,EAAE,WAAW,CAACnB,CAAC,EAAE,QAAQD,CAAC,CAAC,CAAC,IAAI2mH,IAAG,CAAC,WAAW/nG,GAAG,YAAY,OAAO,UAAU6nG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI3pH,EAAE,CAAC0pH,GAAG1pH,EAAE,KAAK,MAAM2hB,GAAG,SAAS,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,MAAM,CAAC,CAAC,CAAC,SAASioG,IAAI5pH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,aAAaO,EAAE,cAAc,EAAE,eAAe,EAAE,mBAAmB0B,CAAC,EAAE3B,EAAE,CAAC,MAAM4B,EAAE,OAAOC,CAAC,EAAEjC,EAAE0C,EAAE,EAAE,UAAU,IAAIV,EAAE,MAAM,EAAE,GAAGW,EAAE,EAAE,UAAU,IAAIV,EAAE,MAAM,EAAE,GAAGW,EAAE4mH,GAAG9mH,EAAEC,EAAE,EAAEtC,EAAE,EAAE0B,CAAC,EAAE,CAAC,iBAAiBc,EAAE,aAAaC,EAAE,gBAAgBkB,EAAE,cAAc,CAAC,EAAEmlH,GAAG,EAAEvmH,CAAC,EAAE,EAAE,KAAK,MAAMoB,CAAC,EAAE,IAAIqD,EAAE,EAAE,WAAW,CAACvE,CAAC,EAAE,QAAQD,CAAC,EAAEgC,EAAE,EAAE,WAAW,CAAC,EAAE,QAAQ,CAAC,EAAE,MAAM,CAACwC,EAAExC,CAAC,CAAC,CAAC,IAAI8kH,IAAG,CAAC,WAAWloG,GAAG,YAAY,OAAO,UAAUgoG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI/pH,EAAE,CAAC8pH,GAAG9pH,EAAE,KAAK,MAAM4hB,GAAG,SAAS,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASooG,IAAIhqH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,aAAaO,EAAE,cAAc,EAAE,eAAe,EAAE,aAAa0B,CAAC,EAAE3B,EAAE,CAAC,MAAM4B,EAAE,OAAOC,CAAC,EAAEjC,EAAE0C,EAAE,EAAE,UAAU,IAAIV,EAAE,MAAM,EAAE,GAAGW,EAAE,EAAE,UAAU,IAAIV,EAAE,MAAM,EAAE,GAAGW,EAAEgnH,GAAGlnH,EAAEC,EAAE,EAAEtC,EAAE,EAAE0B,CAAC,EAAE,CAAC,iBAAiBc,EAAE,aAAaC,EAAE,gBAAgBkB,EAAE,cAAc,CAAC,EAAEmlH,GAAG,EAAEvmH,CAAC,EAAE,EAAE,KAAK,MAAM,CAAC,EAAE,IAAIyE,EAAE,EAAE,WAAW,CAACvE,CAAC,EAAE,QAAQD,CAAC,EAAEgC,EAAE,EAAE,WAAW,CAAC/B,CAAC,EAAE,UAAUkB,CAAC,EAAE,MAAM,CAACqD,EAAExC,CAAC,CAAC,CAAC,IAAIklH,IAAG,CAAC,WAAWroG,GAAG,YAAY,OAAO,UAAUmoG,IAAI,WAAWC,GAAG,EAAME,IAAI,GAAGC,IAAGtL,GAAGp9F,GAAGyoG,IAAI,MAAM,EAAME,GAAG,SAASC,IAAIrqH,EAAE,CAACoqH,GAAGpqH,EAAE,KAAK,MAAM8hB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASwoG,IAAItqH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,QAAQO,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,MAAM,EAAE,QAAQ0B,EAAE,SAASC,CAAC,EAAE5B,EAAE6B,EAAEjC,EAAE,WAAW,CAAC,GAAGK,EAAE,MAAM,CAAC,EAAE,CAAC,EAAEqC,EAAE1C,EAAE,UAAU,IAAIiC,EAAE,MAAM,EAAE,GAAGW,EAAE5C,EAAE,UAAU,IAAIK,EAAE,MAAM,EAAE,GAAG,OAAO6pH,GAAGtnH,EAAE,EAAEb,EAAEC,EAAEU,CAAC,EAAET,CAAC,CAAC,IAAIooH,IAAG,CAAC,WAAWzoG,GAAG,YAAY,OAAO,UAAUuoG,IAAI,WAAWC,GAAG,EAAE,SAASE,IAAIxqH,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQE,CAAC,EAAEF,EAAEM,EAAEJ,EAAE,WAAW,EAAE,MAAM,EAAE,KAAK,EAAE,OAAOA,EAAE,mBAAmBI,CAAC,EAAE,KAAK,CAAC,EAAEA,CAAC,CAAC,IAAImqH,IAAG,CAAC,WAAW5oG,GAAG,YAAY,OAAO,WAAW2oG,GAAG,EAAE,SAASE,IAAI1qH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,KAAKO,CAAC,EAAED,EAAE,GAAG,EAAE,SAAS,EAAE,OAAOgkH,GAAG,CAAC,OAAO,CAAC,MAAM,EAAE,EAAE,EAAE,QAAQpkH,EAAE,MAAM,CAAC,IAAIK,CAAC,CAAC,CAAC,EAAE,IAAI,EAAE,EAAE,GAAG,MAAM,EAAE,EAAE,GAAG,MAAM,EAAE,QAAQqC,GAAG,CAACikB,EAAE,kBAAkB,EAAEjkB,EAAE,MAAM,uDAAuD,EAAEikB,EAAE,OAAO,IAAIjkB,EAAE,MAAM,IAAI,uDAAuD,CAAC,CAAC,EAAE,IAAIX,EAAE,CAAC,EAAEC,EAAE,EAAE,IAAIU,GAAG,CAAC,IAAIC,EAAEyhH,GAAG,CAAC,OAAO,CAAC,MAAM1hH,CAAC,EAAE,QAAQ1C,EAAE,MAAM,CAAC,IAAIK,CAAC,CAAC,CAAC,EAAE,OAAO0B,EAAE,KAAKY,CAAC,EAAEA,CAAC,CAAC,EAAEV,EAAE8/G,GAAG,CAAC,OAAO//G,EAAE,QAAQhC,EAAE,MAAM,CAAC,KAAKK,CAAC,CAAC,CAAC,EAAE,OAAO0B,EAAE,QAAQW,GAAG1C,EAAE,YAAY0C,EAAE,MAAM,CAAC,EAAET,CAAC,CAAC,IAAIwoH,IAAG,CAAC,WAAW5oG,GAAG,YAAY,OAAO,WAAW2oG,GAAG,EAAME,GAAG,SAASC,IAAI7qH,EAAE,CAAC4qH,GAAG5qH,EAAE,KAAK,MAAMgiB,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,SAAS,QAAQ,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS8oG,IAAI9qH,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQE,EAAE,MAAM,CAAC,SAASI,EAAE,cAAcC,CAAC,CAAC,EAAEP,EAAE,EAAEM,EAAE,IAAI,CAAC4D,EAAEC,IAAID,EAAE,GAAG,EAAE,MAAMC,GAAGD,EAAE,EAAE,EAAE,GAAG2iB,EAAE,cAAc,EAAE,KAAK,IAAI,EAAE,OAAO29F,GAAG,CAAC,QAAQtkH,EAAE,MAAM,CAAC,MAAM,EAAE,MAAMK,EAAE,MAAM,EAAE,KAAK,CAAC,CAAC,EAAE,IAAI,EAAEL,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG+B,EAAE/B,EAAE,WAAW,EAAE,EAAE,KAAK,EAAE,EAAEA,EAAE,UAAU,IAAI+B,EAAE,MAAM,EAAE,GAAGW,EAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,EAAE,EAAEtC,EAAE,IAAI4D,GAAGA,EAAE,EAAE,EAAEpB,EAAExC,EAAE,IAAI4D,GAAGA,EAAE,EAAE,EAAEnB,EAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,EAAEC,EAAE,IAAI,WAAW,IAAI,WAAWF,CAAC,EAAE,MAAM,EAAE,OAAO8nH,GAAG,EAAEhoH,EAAE,EAAE,MAAM,OAAOy7G,GAAG,EAAE,OAAOt7G,EAAEC,EAAEzC,EAAE,CAAC,EAAE0B,CAAC,CAAC,IAAI8oH,GAAG,CAAC,WAAW/oG,GAAG,YAAY,OAAO,WAAW8oG,IAAI,UAAUD,GAAG,EAAMG,IAAI,GAAGC,IAAGpM,GAAG38F,GAAG8oG,GAAG,EAAME,GAAG,SAASC,IAAInrH,EAAE,CAACkrH,GAAGlrH,EAAE,KAAK,MAAMmiB,GAAG,KAAK,CAAC,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASipG,IAAIprH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,EAAE,MAAMC,CAAC,EAAE,EAAE,EAAEL,EAAE,UAAU,IAAII,EAAE,MAAM,EAAE,GAAG,EAAEJ,EAAE,UAAU,IAAIK,EAAE,MAAM,EAAE,GAAG0B,EAAE,EAAEC,EAAE5B,EAAE6B,EAAED,EAAEA,EAAE,QAAQ,YAAYC,EAAEu/G,GAAG,CAAC,QAAQxhH,EAAE,OAAO,CAAC,EAAEI,CAAC,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAE2B,EAAE/B,EAAE,UAAU,IAAIiC,EAAE,MAAM,EAAE,IAAI,IAAIS,EAAE1C,EAAE,WAAWI,EAAE,MAAM,SAAS,EAAEuC,EAAE3C,EAAE,UAAU,IAAI0C,EAAE,MAAM,EAAE,GAAG,OAAOsoH,GAAGjpH,EAAE,EAAEY,CAAC,EAAEX,EAAE,QAAQ,WAAWhC,EAAE,YAAYiC,EAAE,MAAM,EAAES,CAAC,CAAC,IAAIyoH,IAAG,CAAC,WAAWlpG,GAAG,YAAY,OAAO,UAAUgpG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIvrH,EAAE,CAACsrH,GAAGtrH,EAAE,KAAK,MAAMoiB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASopG,IAAIxrH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,KAAKO,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEJ,EAAE+B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAED,EAAEE,EAAE,EAAE,CAAC,WAAWS,EAAE,KAAKC,EAAE,aAAaC,EAAE,mBAAmBC,CAAC,EAAE68G,GAAG,EAAEr/G,EAAE,CAAC,EAAEyC,EAAEH,EAAE,GAAGE,EAAE,CAAC,IAAI4B,EAAE,EAAE,UAAU,IAAI/B,EAAE,MAAM,EAAE,GAAG+B,IAAI1C,IAAIE,EAAES,EAAEV,EAAEyC,EAAE3B,EAAEq3C,EAAE,iBAAiBr3C,EAAE,OAAOb,EAAE,MAAM,MAAM,EAAE,CAACk4C,EAAE,2BAA2B,OAAOr3C,EAAEb,EAAE,MAAM,MAAM,EAAE,GAAG,CAAC+B,EAAE,CAAC,EAAEm2C,EAAE,0BAA0Bl4C,EAAE,MAAMa,CAAC,EAAEuE,EAAEsf,EAAE,cAAc,CAAC,EAAE9hB,EAAE,EAAE,WAAWb,EAAE/B,EAAE,KAAK,EAAE,GAAG0kB,EAAE,cAAc1kB,EAAE,KAAK,IAAI,EAAE,CAAC,IAAIwC,EAAE,EAAE,UAAU,IAAII,EAAE,MAAM,EAAE,GAAGumH,GAAGppH,EAAEqF,EAAE82G,GAAGt5G,EAAE,OAAOJ,CAAC,CAAC,CAAC,GAAG5B,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAE,EAAE,CAAC,IAAI+B,EAAE01C,EAAE,qBAAqBt1C,EAAE,MAAMjC,CAAC,EAAEiC,EAAE,MAAMJ,CAAC,CAAC,OAAOI,CAAC,CAAC,IAAI0mH,IAAG,CAAC,WAAWrpG,GAAG,YAAY,OAAO,UAAUmpG,IAAI,WAAWC,GAAG,EAAME,IAAI1rH,GAAG,CAAC,GAAG,CAAC,QAAQ,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,MAAMM,EAAE,KAAKC,EAAE,KAAK,EAAE,MAAM,CAAC,EAAEL,EAAE+B,EAAE+wE,GAAG1yE,EAAEC,EAAE,EAAE,CAAC,EAAE2B,EAAE,EAAE,WAAW,CAACD,EAAE,MAAM,EAAE,CAAC,EAAE,OAAO,EAAE,mBAAmBC,CAAC,EAAE,IAAID,CAAC,EAAEC,CAAC,EAAEypH,IAAG,CAAC,WAAWppG,GAAG,YAAY,OAAO,WAAWmpG,GAAG,EAAME,IAAI,GAAGC,IAAGhN,GAAG1gG,GAAGytG,GAAG,EAAME,IAAGnN,GAAGj8F,EAAE,EAAMqpG,IAAGpN,GAAG37F,EAAE,EAAMgpG,GAAG,SAASC,IAAIjsH,EAAE,CAACgsH,GAAGhsH,EAAE,KAAK,MAAM8iB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASopG,IAAIlsH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,CAAC,EAAEL,EAAE,CAAC,aAAa,EAAE,iBAAiB,EAAE,KAAK+B,CAAC,EAAE3B,EAAE,CAAC4B,EAAEC,CAAC,EAAEF,EAAE,CAACW,EAAEC,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAMyC,EAAE,CAACJ,EAAEV,EAAEC,EAAEY,CAAC,EAAEmB,EAAE,EAAE,UAAU,IAAI3D,EAAE,MAAM,EAAE,EAAE2D,EAAE,QAAQ,YAAY,EAAEw9G,GAAG,CAAC,QAAQ,EAAE,OAAO,CAAC,EAAEnhH,CAAC,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAE2D,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,GAAG,IAAIqD,EAAErD,EAAE,GAAGa,EAAE,EAAE,WAAW/B,EAAE,SAAS,EAAE,GAAG6jB,EAAE,cAActmB,EAAE,KAAK,IAAI,EAAE,OAAOwE,EAAE,IAAIJ,EAAE,EAAE,UAAU,IAAII,EAAE,MAAM,EAAE,GAAG,OAAOinH,GAAGzkH,EAAE3E,EAAEC,EAAEC,EAAEC,EAAEb,EAAEC,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAEwC,CAAC,EAAE,GAAG,MAAM,EAAE,YAAY,EAAE,MAAM,EAAEI,CAAC,CAAC,IAAIonH,IAAG,CAAC,WAAWrpG,GAAG,YAAY,OAAO,UAAUmpG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIrsH,EAAE,CAACosH,GAAGpsH,EAAE,KAAK,MAAM4iB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS0pG,IAAItsH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,CAAC,EAAEL,EAAE,CAAC,aAAa,EAAE,iBAAiB,EAAE,KAAK+B,CAAC,EAAE3B,EAAE,CAAC4B,EAAEC,CAAC,EAAEF,EAAE,CAACW,EAAEC,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAMyC,EAAE,CAACJ,EAAEV,EAAEC,EAAEY,CAAC,EAAEmB,EAAE,EAAE,WAAWlB,EAAE,SAAS,EAAE,GAAG6jB,EAAE,cAActmB,EAAE,KAAK,IAAI,EAAE,OAAO2D,EAAE,IAAI,EAAE,EAAE,UAAU,IAAI3D,EAAE,MAAM,EAAEgH,EAAE,EAAE,QAAQ,YAAYA,EAAEm6G,GAAG,CAAC,QAAQ,EAAE,OAAO,CAAC,EAAEnhH,CAAC,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAE,EAAE,EAAE,UAAU,IAAIgH,EAAE,MAAM,GAAG,IAAIxC,EAAE,EAAE,GAAGJ,EAAE,EAAE,UAAU,IAAIT,EAAE,MAAM,EAAE,GAAG,OAAOkoH,GAAGrnH,EAAEnC,EAAEC,EAAEC,EAAEC,EAAEb,EAAEC,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAEwC,CAAC,EAAE4C,GAAG,MAAM,EAAE,YAAYA,EAAE,MAAM,EAAErD,CAAC,CAAC,IAAIqoH,IAAG,CAAC,WAAW3pG,GAAG,YAAY,OAAO,UAAUypG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIzsH,EAAE,CAACwsH,GAAGxsH,EAAE,KAAK,MAAMijB,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASypG,IAAI1sH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAEumB,EAAE,eAAe,EAAEtmB,EAAE,KAAK,EAAE,GAAGA,EAAE,MAAM,SAAS,EAAE,OAAO6+G,GAAG,CAAC,OAAO,CAAC,EAAE7+G,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,IAAI+B,EAAE/B,EAAE,WAAWK,EAAE,MAAMA,EAAE,KAAK,EAAE2B,EAAEhC,EAAE,UAAU,IAAIK,EAAE,MAAM,EAAE,GAAG4B,EAAEjC,EAAE,UAAU,IAAI+B,EAAE,MAAM,EAAE,GAAGW,EAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,EAAEC,EAAE,IAAI,WAAW,IAAI,WAAWtC,EAAE,KAAK,EAAE,MAAM,EAAEisH,GAAGtqH,EAAEU,EAAE,EAAE,OAAOC,EAAEtC,EAAE,MAAM,OAAO4B,CAAC,EAAE,IAAIW,EAAE+9G,GAAG,CAAC,OAAO,CAAC,EAAE5+G,CAAC,EAAE,MAAM,CAAC,MAAM1B,EAAE,KAAK,EAAE,QAAQL,CAAC,CAAC,EAAE,OAAOA,EAAE,YAAY+B,EAAE,MAAM,EAAEa,CAAC,CAAC,IAAI6pH,IAAG,CAAC,WAAW1pG,GAAG,YAAY,OAAO,WAAWypG,IAAI,UAAUD,GAAG,EAAMG,GAAG,SAASC,IAAI7sH,EAAE,CAAC4sH,GAAG5sH,EAAE,KAAK,MAAM4lB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASknG,IAAI9sH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,UAAU,EAAE,OAAO0B,CAAC,EAAE3B,EAAE4B,EAAEhC,EAAE,WAAWK,EAAE,MAAMA,EAAE,KAAK,EAAE4B,EAAEjC,EAAE,UAAU,IAAIK,EAAE,MAAM,EAAE,GAAGqC,EAAE1C,EAAE,UAAU,IAAIgC,EAAE,MAAM,EAAE,GAAG,CAACW,EAAEC,EAAEC,EAAEC,CAAC,EAAEzC,EAAE,MAAM,CAAC2D,EAAE,CAAC,EAAEm2C,EAAE,eAAep4C,EAAEa,EAAEC,CAAC,EAAEwE,EAAE,IAAI,EAAExC,EAAE,IAAIJ,EAAE,OAAO,GAAG,SAAS,CAAC,EAAE,EAAE,EAAE4C,EAAE,EAAExC,CAAC,EAAE,CAAC,GAAG,EAAEA,CAAC,EAAEH,EAAE,IAAI,WAAW,IAAI,WAAWD,CAAC,EAAE,MAAM,EAAE,OAAOioH,GAAGzqH,EAAEU,EAAEC,EAAEC,EAAEC,EAAE,EAAEkB,EAAE,EAAEU,EAAED,EAAE,OAAO/B,CAAC,EAAEV,CAAC,CAAC,IAAI6qH,IAAG,CAAC,WAAWnnG,GAAG,YAAY,OAAO,WAAWknG,IAAI,UAAUD,GAAG,EAAMG,IAAGrO,GAAGz7F,EAAE,EAAM+pG,IAAGtO,GAAGx7F,EAAE,EAAM+pG,GAAG,SAASC,IAAIntH,EAAE,CAACktH,GAAGltH,EAAE,KAAK,MAAMojB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASgqG,IAAIptH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,QAAQO,EAAE,QAAQ,CAAC,EAAEL,EAAE,CAAC,MAAM,CAAC,EAAEI,EAAE2B,EAAE,EAAE,WAAW,EAAE,EAAE,KAAK,EAAE,GAAG4kB,EAAE,cAAc,CAAC,IAAI,EAAE,OAAO5kB,EAAE,GAAG,CAAC,UAAUC,EAAE,WAAWC,EAAE,UAAUS,EAAE,QAAQC,EAAE,WAAWC,CAAC,EAAEizB,GAAG,gBAAgB,EAAEx1B,EAAE,CAAC,EAAEyC,EAAE,EAAE,UAAU,IAAIzC,EAAE,MAAM,EAAE,GAAG4D,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGoD,EAAE,IAAI,WAAW,IAAI,WAAW1E,CAAC,EAAE,MAAM,EAAEkC,EAAE,EAAE,UAAU,IAAI9C,EAAE,MAAM,EAAE,GAAG,OAAOirH,GAAGlqH,EAAEmB,EAAEk6G,GAAG,EAAE,OAAOn8G,EAAEC,EAAES,EAAE2E,EAAEzE,EAAEiC,CAAC,EAAE9C,CAAC,CAAC,IAAIorH,IAAG,CAAC,WAAWjqG,GAAG,YAAY,OAAO,UAAU+pG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIvtH,EAAE,CAACstH,GAAGttH,EAAE,KAAK,MAAM,WAAW,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASwtH,IAAIxtH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,UAAUM,EAAE,EAAEC,EAAE,EAAE,CAAC,EAAE,EAAE,EAAEL,EAAE,UAAU,IAAII,EAAE,MAAM,EAAE,GAAG2B,EAAE/B,EAAE,UAAU,IAAIK,EAAE,MAAM,EAAE,GAAG2B,EAAEhC,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGiC,EAAEjC,EAAE,WAAWK,EAAE,MAAMA,EAAE,KAAK,EAAEqC,EAAE1C,EAAE,UAAU,IAAIiC,EAAE,MAAM,EAAE,GAAGU,EAAEvC,EAAE,MAAM,OAAOwC,EAAEvC,EAAE,MAAM,OAAOwC,EAAEF,IAAI,GAAGA,EAAE,GAAGC,IAAI,EAAE,EAAE+jB,EAAE,cAActmB,EAAE,MAAM,MAAM,CAAC,CAAC,EAAE,OAAO+sH,GAAG,EAAErrH,EAAEC,EAAEa,EAAEH,CAAC,EAAET,CAAC,CAAC,IAAIsrH,IAAG,CAAC,WAAWnqG,GAAG,YAAY,OAAO,WAAWkqG,IAAI,UAAUD,GAAG,EAAMG,GAAG,SAASC,IAAI3tH,EAAE,CAAC0tH,GAAG1tH,EAAE,KAAK,MAAM4jB,GAAG,KAAK,CAAC,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASgqG,IAAI5tH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAO,CAAC,EAAEE,CAAC,CAAC,EAAEF,EAAEM,EAAE,EAAE,UAAU,IAAIJ,EAAE,MAAM,EAAE,GAAGK,EAAE,EAAE,WAAWL,EAAE,MAAMA,EAAE,KAAK,EAAE,EAAE,EAAE,UAAU,IAAIK,EAAE,MAAM,EAAE,GAAG,OAAOsmB,EAAE,cAActmB,EAAE,KAAK,IAAI,GAAGmtH,GAAGptH,EAAE,CAAC,EAAEC,CAAC,CAAC,IAAIstH,IAAG,CAAC,WAAW,UAAU,YAAY,OAAO,UAAUF,IAAI,WAAWC,GAAG,EAAME,IAAGnP,GAAGl7F,EAAE,EAAMsqG,GAAG,SAASC,IAAIhuH,EAAE,CAAC+tH,GAAG/tH,EAAE,KAAK,MAAMkkB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS+pG,IAAIjuH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAO,CAAC,OAAOE,CAAC,EAAE,MAAM,CAAC,IAAII,CAAC,CAAC,EAAEN,EAAEO,EAAE,EAAE,UAAU,IAAIL,EAAE,MAAM,EAAE,GAAG,EAAE,EAAE,WAAWA,EAAE,MAAMA,EAAE,KAAK,EAAE,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG+B,EAAE/B,EAAE,MAAMI,GAAG4B,EAAE2kB,EAAE,cAAc3mB,EAAE,KAAK,EAAE+B,EAAE,OAAO4kB,EAAE,cAAc,EAAE,KAAK,IAAI,GAAGknG,GAAGxtH,EAAE,EAAE0B,EAAEC,CAAC,EAAE,CAAC,CAAC,IAAIgsH,IAAG,CAAC,WAAWhqG,GAAG,YAAY,OAAO,UAAU8pG,IAAI,WAAWC,GAAG,EAAE,SAASE,IAAInuH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAE4kB,EAAE,cAAc,CAAC,EAAE3kB,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAEA,EAAE,KAAK,GAAG,CAAC,EAAE,QAAQ4C,EAAE,EAAE,EAAE,OAAOA,EAAEvE,EAAE,MAAM,OAAO,EAAEuE,EAAE5C,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,EAAE,IAAIC,EAAE4oH,GAAG,WAAW,CAAC,OAAO,CAAC,EAAExqH,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,SAASgC,EAAE,cAAc,CAAC,CAAC,CAAC,EAAEU,EAAEy3C,EAAE,YAAYl4C,EAAE,MAAM,EAAEF,EAAE,EAAE,EAAEY,EAAEw3C,EAAE,YAAYz3C,EAAE,OAAO,EAAE,OAAO,EAAE,EAAEE,EAAEu3C,EAAE,oBAAoBl4C,EAAE,MAAM,EAAEF,EAAE,EAAE,EAAE,EAAE4+G,GAAG,CAAC,OAAO,CAAC,EAAE1+G,CAAC,EAAE,QAAQjC,EAAE,MAAM,CAAC,MAAM0C,CAAC,CAAC,CAAC,EAAEmC,EAAEy6G,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQt/G,EAAE,MAAM,CAAC,KAAK2C,CAAC,CAAC,CAAC,EAAEgC,EAAEg8G,GAAG,CAAC,OAAO,CAAC,EAAE97G,CAAC,EAAE,QAAQ7E,EAAE,MAAM,CAAC,MAAM4C,CAAC,CAAC,CAAC,EAAE,OAAO5C,EAAE,YAAYiC,EAAE,MAAM,EAAEjC,EAAE,YAAY,EAAE,MAAM,EAAEA,EAAE,YAAY6E,EAAE,MAAM,EAAEF,CAAC,CAAC,IAAIupH,IAAG,CAAC,WAAWpqG,GAAG,YAAY,OAAO,WAAWmqG,GAAG,EAAME,GAAG,SAASC,IAAItuH,EAAE,CAACquH,GAAGruH,EAAE,KAAK,MAAM,sBAAsB,SAAS,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASuuH,IAAIvuH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,CAAC,EAAEF,EAAE,CAAC,QAAQM,EAAE,OAAOC,EAAE,WAAW,EAAE,aAAa,CAAC,EAAEL,EAAE+B,EAAE3B,EAAE,MAAM,GAAG4B,EAAE5B,EAAE,MAAM,GAAG6B,EAAE,EAAE,SAAS,EAAE,MAAM,EAAE,GAAGS,EAAE,CAACX,EAAEE,EAAED,CAAC,EAAEW,EAAE,EAAE,UAAU,IAAIvC,EAAE,MAAM,EAAE,GAAGwC,EAAE,EAAE,UAAU,IAAIvC,EAAE,MAAM,EAAE,GAAGwC,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAE,EAAE,WAAWJ,EAAEtC,EAAE,KAAK,EAAE4D,EAAE,EAAE,UAAU,IAAIlB,EAAE,MAAM,EAAE,GAAG,EAAE,EAAE,WAAWJ,EAAE,MAAM,EAAE,CAAC,EAAErC,EAAE,KAAK,EAAEgH,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGxC,EAAE,EAAE,WAAW,CAAC5C,CAAC,EAAE,MAAM,EAAEwC,EAAE,EAAE,UAAU,IAAII,EAAE,MAAM,EAAE,GAAGH,EAAE,EAAE,WAAW,CAAC3C,CAAC,EAAE3B,EAAE,KAAK,EAAEuE,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGE,EAAE,EAAE,WAAW,CAAC,CAAC,EAAE,OAAO,EAAE0C,EAAE,EAAE,UAAU,IAAI1C,EAAE,MAAM,EAAE,GAAGE,EAAEqpH,GAAGxrH,EAAEC,EAAEu7G,GAAG99G,EAAE,OAAO0B,EAAEE,EAAED,EAAEa,EAAEmB,EAAEqD,EAAE5C,EAAEE,EAAE2C,CAAC,EAAEC,EAAE,EAAE,SAAS3C,EAAE,MAAM,EAAEG,EAAE,OAAOwC,EAAE,GAAG,CAAC,IAAK,GAAE,CAACxC,EAAEo1C,EAAE,gDAAgD5yC,EAAE,EAAE,EAAE,KAAK,CAAC,IAAK,GAAE,CAACxC,EAAEo1C,EAAE,gDAAgD5yC,EAAE,GAAGA,EAAE,EAAE,EAAE,KAAK,CAAC,IAAK,GAAExC,EAAEo1C,EAAE,kDAAkD5yC,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,EAAE,MAAM,QAAQxC,EAAE,EAAE,CAAC,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAEG,EAAE,MAAM,EAAE,YAAYjC,EAAE,MAAM,EAAE,EAAE,YAAY,EAAE,MAAM,EAAE,EAAE,YAAY+B,EAAE,MAAM,EAAE,EAAE,YAAYH,EAAE,MAAM,EAAE,IAAI,MAAMK,CAAC,EAAE,IAAIC,EAAElC,EAAEmC,EAAE,EAAE,OAAOH,IAAIpC,EAAE,KAAKsC,EAAEi8G,GAAG,CAAC,OAAO,CAAC,EAAEn+G,CAAC,EAAE,MAAM,CAAC,MAAM,EAAE,KAAK,CAACgC,EAAE9C,CAAC,CAAC,EAAE,QAAQ,CAAC,CAAC,EAAEiD,EAAEg8G,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,MAAM,CAAC,MAAM,EAAE,KAAKn8G,CAAC,EAAE,QAAQ,CAAC,CAAC,EAAE,EAAE,YAAYhC,EAAE,MAAM,EAAE,EAAE,YAAY,EAAE,MAAM,GAAG,CAACkC,EAAEC,EAAEJ,EAAEH,CAAC,CAAC,CAAC,IAAI4pH,IAAG,CAAC,WAAWrqG,GAAG,YAAY,OAAO,UAAUmqG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI1uH,EAAE,CAACyuH,GAAGzuH,EAAE,KAAK,MAAMokB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASuqG,IAAI3uH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,CAAC,EAAEF,EAAE,CAAC,aAAaM,EAAE,WAAWC,EAAE,SAAS,CAAC,EAAEL,EAAE,GAAGI,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACzt4CA,EAAE,OAAO,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACjDA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,sDAAsD,EAAE,OAAO,EAAE,IAAI,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAG2B,EAAE,EAAE,UAAU,IAAI1B,EAAE,MAAM,EAAE,GAAG2B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAE7B,EAAE,MAAM,GAAGsC,EAAEikB,EAAE,cAAc,EAAE,KAAK,EAAEhkB,EAAE,EAAE,WAAW,CAACV,EAAES,CAAC,EAAEtC,EAAE,KAAK,EAAEwC,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGE,EAAE,EAAE,WAAW,CAACH,CAAC,EAAE,EAAE,KAAK,EAAEI,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGmB,EAAE,EAAE,WAAW,CAAC,CAAC,EAAE,OAAO,EAAE,EAAE,EAAE,UAAU,IAAIA,EAAE,MAAM,EAAE,GAAGuqH,GAAG,EAAExsH,EAAEC,EAAEC,EAAEW,EAAEE,EAAE,CAAC,EAAE,IAAIuE,EAAE,EAAE,SAASrD,EAAE,MAAM,EAAEa,EAAE,OAAOwC,EAAE,GAAG,CAAC,IAAK,GAAE,CAACxC,EAAEs1C,EAAE,yDAAyD9yC,EAAE,GAAGA,EAAE,EAAE,EAAE,KAAK,CAAC,IAAK,GAAE,CAACxC,EAAEs1C,EAAE,8CAA8C9yC,EAAE,GAAGA,EAAE,EAAE,EAAE,KAAK,CAAC,IAAK,GAAExC,EAAEs1C,EAAE,qDAAqD,EAAE,MAAM,IAAK,GAAE,CAAC,IAAI11C,EAAE,MAAM,KAAK,EAAE,SAASpE,EAAE,MAAM,CAAC,EAAEqE,EAAE,MAAM,KAAK,EAAE,SAAS7B,EAAE,MAAM,CAAC,EAAEgC,EAAEs1C,EAAE,gDAAgD11C,EAAEC,CAAC,EAAE,KAAK,CAAC,IAAK,GAAE,CAAC,IAAID,EAAE,MAAM,KAAK,EAAE,SAASpE,EAAE,MAAM,CAAC,EAAEqE,EAAE,MAAM,KAAK,EAAE,SAAS7B,EAAE,MAAM,CAAC,EAAEgC,EAAEs1C,EAAE,gDAAgD11C,EAAEC,CAAC,EAAE,KAAK,CAAC,QAAQG,EAAE,EAAE,CAAC,GAAG,EAAE,YAAYb,EAAE,MAAM,EAAEa,EAAE,MAAM,EAAE,YAAYlC,EAAE,MAAM,EAAE,EAAE,YAAYE,EAAE,MAAM,EAAE,IAAI,MAAMgC,CAAC,EAAE,MAAM,CAAClC,EAAEE,CAAC,CAAC,CAAC,IAAI6rH,IAAG,CAAC,WAAWxqG,GAAG,YAAY,OAAO,UAAUsqG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,GAAG9uH,EAAE,CAAC6uH,GAAG7uH,EAAE,KAAK,MAAM,yBAAyB,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS+uH,GAAG/uH,EAAE,EAAE,CAAC,GAAG,CAAC,QAAQE,EAAE,OAAOI,CAAC,EAAEN,EAAE,CAAC,KAAKO,EAAE,QAAQ,EAAE,WAAW,CAAC,EAAED,EAAE2B,EAAE,EAAE,MAAM,GAAGC,EAAEhC,EAAE,SAAS,EAAE,OAAO+B,EAAE,EAAEA,CAAC,EAAE,GAAGW,EAAEX,EAAE,EAAEC,EAAE,EAAE,EAAE,GAAGU,EAAE,EAAE,MAAM,IAAI,MAAMy3C,EAAE,wDAAwD,CAAC,EAAE,IAAI,EAAE95C,EAAE,MAAM,MAAM,EAAE,EAAE,GAAGqC,EAAE,IAAIE,EAAE5C,EAAE,UAAU,IAAIK,EAAE,MAAM,EAAE,GAAGwC,EAAE7C,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG8C,EAAE9C,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGgE,EAAEhE,EAAE,WAAW,EAAEK,EAAE,KAAK,EAAE4D,EAAEjE,EAAE,UAAU,IAAIgE,EAAE,MAAM,EAAE,GAAGqD,EAAErH,EAAE,WAAW,CAAC,CAAC,EAAE,OAAO,EAAE,EAAEA,EAAE,UAAU,IAAIqH,EAAE,MAAM,EAAE,GAAGsnH,GAAG/rH,EAAEu7G,GAAG99G,EAAE,OAAOA,EAAE,MAAM,GAAGwC,EAAEC,EAAEmB,EAAE,EAAE,EAAE,CAAC,EAAE,IAAIQ,EAAEzE,EAAE,SAASqH,EAAE,MAAM,EAAE3C,EAAE,OAAOD,EAAE,GAAG,CAAC,IAAK,GAAE,CAACC,EAAEy1C,EAAE,wDAAwD,EAAE,KAAK,CAAC,IAAK,GAAE,CAACz1C,EAAEy1C,EAAE,6DAA6D,EAAE,KAAK,CAAC,IAAK,GAAEz1C,EAAEy1C,EAAE,yDAAyD11C,EAAE,GAAGA,EAAE,EAAE,EAAE,MAAM,IAAK,GAAEC,EAAEy1C,EAAE,uDAAuD11C,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,EAAE,MAAM,QAAQC,EAAE,EAAE,CAAC,GAAG1E,EAAE,YAAYqH,EAAE,MAAM,EAAE3C,EAAE,MAAM1E,EAAE,YAAYgE,EAAE,MAAM,EAAE,IAAI,MAAMU,CAAC,EAAE,OAAOV,CAAC,CAAC,SAAS8qH,IAAIhvH,EAAE,CAAC,OAAO+uH,GAAG/uH,EAAE,EAAE,CAAC,CAAC,IAAIivH,IAAG,CAAC,WAAW5qG,GAAG,YAAY,OAAO,UAAUyqG,GAAG,WAAWE,GAAG,EAAE,SAASE,IAAIlvH,EAAE,CAAC,OAAO+uH,GAAG/uH,EAAE,EAAE,CAAC,CAAC,IAAImvH,IAAG,CAAC,WAAW7qG,GAAG,YAAY,OAAO,UAAUwqG,GAAG,WAAWI,GAAG,EAAE,SAASE,IAAIpvH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,gBAAgB,EAAE,KAAK,CAAC,EAAEL,EAAE+B,EAAE4kB,EAAE,eAAe,EAAEtmB,EAAE,KAAK,EAAE,GAAG2B,EAAEm4C,EAAE,iBAAiB95C,EAAE,EAAE0B,CAAC,EAAEE,EAAE,IAAI,MAAM5B,EAAE,MAAM,MAAM,EAAE,KAAK,CAAC,EAAEqC,EAAErC,EAAE,MAAM,MAAM,EAAE,OAAO2B,EAAE,IAAIW,GAAG,CAAC,IAAIC,EAAE,CAAC,GAAGF,CAAC,EAAEE,EAAEb,GAAGY,EAAE,IAAIE,EAAEo+G,GAAG,CAAC,OAAO,CAAC,EAAE5gH,CAAC,EAAE,MAAM,CAAC,MAAM4B,EAAE,KAAKW,CAAC,EAAE,QAAQxC,CAAC,CAAC,EAAE,OAAO6B,EAAEF,IAAIY,EAAEE,CAAC,CAAC,CAAC,CAAC,IAAIssH,IAAG,CAAC,WAAWprG,GAAG,YAAY,OAAO,WAAWmrG,GAAG,EAAME,IAAG3Q,GAAG76F,EAAE,EAAMyrG,IAAG5Q,GAAGl6F,EAAE,EAAM+qG,IAAI,GAAGC,IAAG5Q,GAAGr6F,GAAGgrG,GAAG,EAAME,GAAG,SAASC,IAAI3vH,EAAE,CAAC0vH,GAAG1vH,EAAE,KAAK,MAAM0lB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASkqG,IAAI5vH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEJ,EAAE,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG+B,EAAE,EAAE,WAAW,EAAE,MAAM,EAAE,KAAK,EAAEC,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAG,OAAOytH,GAAG,EAAEnvH,EAAE89G,GAAG,EAAE,OAAOn8G,CAAC,EAAED,CAAC,CAAC,IAAI4tH,IAAG,CAAC,WAAWnqG,GAAG,YAAY,OAAO,UAAUiqG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI/vH,EAAE,CAAC8vH,GAAG9vH,EAAE,KAAK,MAAM0kB,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,QAAQ,QAAQ,QAAQ,QAAQ,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASsrG,IAAIhwH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAEL,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,QAAQ+B,EAAE,UAAUC,EAAE,QAAQC,EAAE,aAAaS,EAAE,YAAYC,EAAE,eAAeC,CAAC,EAAExC,EAAE,CAAC,iBAAiByC,EAAE,WAAWC,EAAE,WAAWkB,EAAE,UAAU,EAAE,cAAcqD,EAAE,MAAMxC,EAAE,IAAIJ,EAAE,QAAQC,CAAC,EAAEuxB,GAAG,UAAU51B,EAAE,MAAM,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAEC,EAAEC,CAAC,EAAE+B,EAAE,GAAGX,EAAEW,EAAEg8G,GAAG,CAAC,OAAO,CAAC,EAAEtgH,CAAC,EAAE,QAAQ,EAAE,MAAM,CAAC,MAAMyC,CAAC,CAAC,CAAC,UAAU,GAAGuE,EAAE,CAACsf,EAAE,OAAOtmB,EAAE,MAAM,QAAQ,EAAE,IAAI,yCAAyCA,EAAE,MAAM,QAAQ,EAAE,IAAIuE,EAAEqxB,GAAG,gBAAgBpxB,EAAEJ,EAAEC,CAAC,EAAE4C,EAAE25G,GAAG,CAAC,OAAO,CAAC,EAAE5gH,CAAC,EAAE,QAAQ,EAAE,MAAM,CAAC,MAAMwE,EAAE,KAAKD,CAAC,CAAC,CAAC,EAAED,EAAEg8G,GAAG,CAAC,OAAO,CAAC,EAAEr5G,CAAC,EAAE,QAAQ,EAAE,MAAM,CAAC,MAAMxE,CAAC,CAAC,CAAC,EAAE,EAAE,YAAYwE,EAAE,MAAM,CAAC,KAAK,CAAC,IAAI1C,EAAE,EAAE,WAAW/B,EAAE,SAAS,EAAEyE,EAAE,EAAE,UAAU,IAAIjH,EAAE,MAAM,EAAE,GAAGyE,EAAE,IAAI,WAAW,IAAI,WAAW6hB,EAAE,eAAetmB,EAAE,KAAK,CAAC,EAAE,MAAM,EAAEkH,EAAE,IAAI,WAAW,IAAI,WAAW1C,CAAC,EAAE,MAAM,EAAEE,EAAE,IAAI,WAAW,IAAI,WAAWN,CAAC,EAAE,MAAM,EAAEO,EAAE,IAAI,WAAW,IAAI,WAAWN,CAAC,EAAE,MAAM,EAAEO,EAAE,IAAI,WAAW,IAAI,WAAWpC,CAAC,EAAE,MAAM,EAAEqC,EAAE,IAAI,WAAW,IAAI,WAAWyhB,EAAE,eAAe9jB,CAAC,CAAC,EAAE,MAAM,EAAEsC,EAAE,EAAE,UAAU,IAAIP,EAAE,MAAM,EAAE,GAAGgrH,GAAGtoH,EAAExC,EAAEzE,EAAE,MAAM,OAAOkH,EAAExC,EAAEC,EAAEC,EAAEC,EAAErC,EAAE,OAAOsC,CAAC,EAAER,EAAEg8G,GAAG,CAAC,OAAO,CAAC,EAAE/7G,CAAC,EAAE,QAAQ,EAAE,MAAM,CAAC,MAAM9B,CAAC,CAAC,CAAC,EAAE,EAAE,YAAY8B,EAAE,MAAM,CAAC,CAAC,OAAOD,CAAC,CAAC,IAAIorH,IAAG,CAAC,WAAWvrG,GAAG,YAAY,OAAO,UAAUqrG,IAAI,WAAWC,GAAG,EAAE,SAASE,IAAIlwH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,KAAKO,EAAE,WAAW,CAAC,EAAEL,EAAE,CAAC,UAAU,EAAE,YAAY+B,EAAE,QAAQC,EAAE,SAASC,EAAE,SAASS,EAAE,uBAAuBC,CAAC,EAAEvC,EAAEwC,EAAE,EAAE,SAASvC,EAAE,MAAM,EAAEwC,EAAE,EAAE,SAAS,EAAE,MAAM,EAAE,CAACC,EAAEkB,CAAC,EAAE0vE,GAAG9wE,EAAEC,EAAE,EAAEd,EAAEC,EAAEC,EAAES,EAAEC,CAAC,EAAE,EAAE,EAAE,WAAW,CAACG,EAAE,MAAM,EAAE,QAAQ,EAAEuE,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAEA,EAAE,YAAYvE,EAAE,IAAI+B,EAAE,EAAE,WAAW,EAAE,MAAM,OAAO,EAAE,OAAO,EAAE,mBAAmBA,CAAC,EAAE,IAAIb,CAAC,EAAE,CAAC,EAAEa,CAAC,CAAC,CAAC,IAAIorH,IAAG,CAAC,WAAWxrG,GAAG,YAAY,OAAO,WAAWurG,GAAG,EAAE,SAASE,IAAIpwH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,EAAE,UAAU,CAAC,EAAEL,EAAE,CAAC,UAAU,CAAC,EAAEI,EAAE2B,EAAE,EAAE,SAAS1B,EAAE,MAAM,EAAE2B,EAAE,EAAE,SAAS,EAAE,MAAM,EAAE,CAACC,EAAES,EAAEC,CAAC,EAAEgxE,GAAG5xE,EAAEC,EAAE,GAAG,CAAC,EAAEY,EAAEF,EAAE,OAAOG,EAAE,EAAE,WAAW,CAACD,EAAE,CAAC,EAAE,OAAO,EAAE,EAAE,mBAAmBC,CAAC,EAAE,IAAIZ,CAAC,EAAE,IAAI+B,EAAE,EAAE,WAAW,CAACpB,CAAC,EAAE,QAAQ,EAAEqB,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAEC,EAAE,YAAYvB,EAAE,IAAI2E,EAAE,EAAE,WAAW,CAAC,CAAC,EAAE,OAAO,EAAE,OAAO,EAAE,mBAAmBA,CAAC,EAAE,IAAI1E,CAAC,EAAE,CAACE,EAAEmB,EAAEqD,CAAC,CAAC,CAAC,IAAI8oH,IAAG,CAAC,WAAWzrG,GAAG,YAAY,OAAO,WAAWwrG,GAAG,EAAE,SAASE,IAAItwH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,CAAC,EAAEL,EAAE,CAAC,WAAW,CAAC,EAAEI,EAAE,EAAE,EAAE,SAASC,EAAE,MAAM,EAAE0B,EAAE6xE,GAAG,EAAE,CAAC,EAAE5xE,EAAE,EAAE,WAAW3B,EAAE,MAAM,OAAO,EAAE,OAAO,EAAE,mBAAmB2B,CAAC,EAAE,IAAID,CAAC,EAAEC,CAAC,CAAC,IAAIquH,IAAG,CAAC,WAAW1rG,GAAG,YAAY,OAAO,WAAWyrG,GAAG,EAAME,IAAI,GAAGC,IAAG5R,GAAG/5F,GAAG0rG,GAAG,EAAME,GAAG,SAASC,IAAI3wH,EAAE,CAAC0wH,GAAG1wH,EAAE,KAAK,MAAM+jB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS6sG,IAAI5wH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,KAAKO,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEJ,EAAE+B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAED,EAAEE,EAAE,EAAE,CAAC,WAAWS,EAAE,KAAKC,EAAE,aAAaC,EAAE,mBAAmBC,CAAC,EAAE68G,GAAG,EAAEr/G,EAAE,CAAC,EAAEyC,EAAEH,EAAE,GAAGE,EAAE,CAAC,IAAI4B,EAAE,EAAE,UAAU,IAAI/B,EAAE,MAAM,EAAE,GAAG+B,IAAI1C,IAAIE,EAAES,EAAEV,EAAEyC,EAAE3B,EAAEq3C,EAAE,iBAAiBr3C,EAAE,OAAOb,EAAE,MAAM,MAAM,EAAE,CAACk4C,EAAE,2BAA2B,MAAMr3C,EAAEb,EAAE,MAAM,MAAM,EAAE,GAAG,CAAC+B,EAAE,CAAC,EAAEm2C,EAAE,0BAA0Bl4C,EAAE,MAAMa,CAAC,EAAEuE,EAAEsf,EAAE,cAAc,CAAC,EAAE9hB,EAAE,EAAE,WAAWb,EAAE/B,EAAE,KAAK,EAAE,GAAG0kB,EAAE,cAAc1kB,EAAE,KAAK,IAAI,EAAE,CAAC,IAAIwC,EAAE,EAAE,UAAU,IAAII,EAAE,MAAM,EAAE,GAAG2rH,GAAGxuH,EAAEqF,EAAE82G,GAAGt5G,EAAE,OAAOJ,CAAC,CAAC,CAAC,GAAG5B,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAE,EAAE,CAAC,IAAI+B,EAAE01C,EAAE,qBAAqBt1C,EAAE,MAAMjC,CAAC,EAAEiC,EAAE,MAAMJ,CAAC,CAAC,OAAOI,CAAC,CAAC,IAAI8rH,IAAG,CAAC,WAAW9sG,GAAG,YAAY,OAAO,UAAU4sG,IAAI,WAAWC,GAAG,EAAME,IAAGnS,GAAG55F,EAAE,EAAMgsG,IAAGpS,GAAG35F,EAAE,EAAMgsG,GAAG,SAASC,IAAIjxH,EAAE,CAACgxH,GAAGhxH,EAAE,KAAK,MAAMilB,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASisG,IAAIlxH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,EAAEL,EAAE,UAAU,IAAIK,EAAE,MAAM,EAAE,GAAG,CAAC,KAAK,CAAC,EAAED,EAAE2B,EAAE,IAAI,MAAM1B,EAAE,MAAM,MAAM,EAAE,QAAQuC,EAAE,EAAEA,EAAEb,EAAE,OAAOa,IAAIb,EAAEa,GAAGvC,EAAE,MAAMuC,GAAG,EAAEA,GAAG,IAAIZ,EAAE,IAAI,WAAW,IAAI,WAAW3B,EAAE,KAAK,EAAE,MAAM,EAAE4B,EAAE,IAAI,WAAW,IAAI,WAAWF,CAAC,EAAE,MAAM,EAAEW,EAAE1C,EAAE,WAAW+B,EAAE1B,EAAE,KAAK,EAAEsC,EAAE3C,EAAE,UAAU,IAAI0C,EAAE,MAAM,EAAE,GAAG,OAAOouH,GAAG,EAAE9uH,EAAE3B,EAAE,MAAM,OAAO4B,EAAEF,EAAE,OAAOo8G,GAAGz7G,EAAE,OAAOC,CAAC,EAAED,CAAC,CAAC,IAAIuuH,IAAG,CAAC,WAAWlsG,GAAG,YAAY,OAAO,UAAUgsG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIrxH,EAAE,CAACoxH,GAAGpxH,EAAE,KAAK,MAAMklB,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,SAAS,SAAS,OAAO,SAAS,QAAQ,CAAC,CAAC,CAAC,IAAIosG,IAAI,CAAC,CAAC,OAAOtxH,EAAE,QAAQ,EAAE,MAAME,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,CAAC,EAAEL,EAAE,EAAE,EAAE,UAAU,IAAII,EAAE,MAAM,EAAE,GAAG2B,EAAE,IAAI,WAAW,IAAI,WAAW3B,EAAE,KAAK,EAAE,MAAM,EAAE4B,EAAE5B,EAAE,MAAM,MAAM,EAAE4B,EAAEA,EAAE,OAAO,GAAG3B,EAAE,IAAI4B,EAAE,EAAE,WAAWD,EAAE5B,EAAE,KAAK,EAAEsC,EAAE,EAAE,UAAU,IAAIT,EAAE,MAAM,EAAE,GAAGU,EAAE,EAAE,WAAWX,EAAE,OAAO,EAAEY,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAG,OAAOuuH,GAAG,EAAEnvH,EAAE3B,EAAE,MAAM,OAAO+9G,GAAG/9G,EAAE,OAAOC,EAAE,EAAEqC,EAAEE,CAAC,EAAE,CAACX,EAAEU,CAAC,CAAC,EAAE0uH,IAAG,CAAC,WAAWrsG,GAAG,YAAY,OAAO,UAAUmsG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIzxH,EAAE,CAACwxH,GAAGxxH,EAAE,KAAK,MAAMmlB,GAAG,KAAK,CAAC,SAAS,SAAS,OAAO,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,SAAS,QAAQ,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASusG,IAAI1xH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,EAAE,WAAW,CAAC,EAAEL,EAAE,CAAC,cAAc,EAAE,SAAS+B,EAAE,UAAUC,EAAE,YAAYC,CAAC,EAAE7B,EAAE,CAACsC,EAAEC,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAM,CAACyC,EAAEkB,CAAC,EAAE/B,GAAG,KAAKA,EAAE,CAACU,EAAEC,CAAC,EAAE,EAAE,CAACF,EAAEI,EAAEkB,EAAEnB,CAAC,EAAEwE,EAAE,IAAI,WAAW,IAAI,WAAWsf,EAAE,eAAetmB,EAAE,KAAK,CAAC,EAAE,MAAM,EAAEwE,EAAE,IAAI,WAAW,IAAI,WAAW8hB,EAAE,eAAe,CAAC,CAAC,EAAE,MAAM,EAAEliB,EAAE,EAAE,WAAW,EAAEpE,EAAE,KAAK,EAAEqE,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGG,EAAE,EAAE,UAAU,IAAIvE,EAAE,MAAM,EAAE,GAAGyE,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGyC,EAAE,IAAI,UAAU,EAAE,EAAExC,EAAE,OAAOhD,EAAE,CAAC,IAAI,WAAWgD,EAAE,EAAE,MAAM,IAAI,UAAUA,EAAE,EAAE,MAAM,IAAI,OAAOA,EAAE,EAAE,MAAM,IAAI,UAAUA,EAAE,EAAE,MAAM,QAAQA,EAAE,EAAE,KAAK,CAAC,OAAOusH,GAAG1sH,EAAEE,EAAE,EAAE,MAAM,GAAG,EAAEpC,EAAEI,EAAEkB,EAAEnB,EAAED,EAAED,EAAE0E,EAAEhH,EAAE,MAAM,OAAO,EAAEwE,EAAE,EAAE,OAAO,EAAE0C,EAAExC,EAAE/C,EAAE0C,CAAC,EAAED,CAAC,CAAC,IAAIgtH,IAAG,CAAC,WAAWxsG,GAAG,YAAY,OAAO,UAAUssG,IAAI,WAAWC,GAAG,EAAE,SAASE,IAAI5xH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAE,IAAI,GAAGC,EAAE,MAAM,QAAQ,IAAI,EAAEA,EAAE,MAAM,GAAG0B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE,IAAI,MAAMD,EAAE,CAAC,EAAEE,EAAE,EAAE,QAAQY,EAAE,EAAEA,EAAEd,EAAEc,IAAIA,IAAI,IAAIb,EAAEC,KAAK5B,EAAE,MAAMwC,IAAI,IAAIH,EAAE,IAAI,MAAM,CAAC,EAAEC,EAAE,IAAI,MAAMZ,CAAC,EAAE,KAAK,CAAC,EAAEa,EAAEvC,EAAE,MAAM,MAAM,EAAEuC,EAAE,GAAG,EAAE,QAAQC,EAAE,EAAEA,EAAEH,EAAE,OAAOG,IAAIF,EAAE,GAAGE,EAAEH,EAAEG,GAAGo+G,GAAG,CAAC,OAAO,CAAC,EAAE5gH,CAAC,EAAE,MAAM,CAAC,MAAMsC,EAAE,KAAKC,CAAC,EAAE,QAAQ5C,CAAC,CAAC,EAAE,OAAO0C,EAAE,IAAI,CAAC,CAAC,OAAOG,EAAE,MAAMC,CAAC,KAAK,CAAC,OAAOD,EAAE,MAAMC,EAAE,MAAMd,CAAC,EAAE,CAAC,CAAC,IAAI2vH,IAAG,CAAC,WAAWvsG,GAAG,YAAY,OAAO,WAAWssG,GAAG,EAAE,SAASE,IAAI9xH,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQE,CAAC,EAAEF,EAAEM,EAAEJ,EAAE,WAAW,EAAE,MAAM,EAAE,KAAK,EAAE,OAAOA,EAAE,mBAAmBI,CAAC,EAAE,KAAK,CAAC,EAAEA,CAAC,CAAC,IAAIyxH,IAAG,CAAC,WAAWtsG,GAAG,YAAY,OAAO,WAAWqsG,GAAG,EAAME,IAAI,CAACtT,IAAGE,IAAGG,IAAGI,IAAGa,IAAGI,IAAGI,IAAGI,IAAGM,IAAGO,IAAGE,IAAGC,IAAGI,IAAGE,IAAGI,IAAGI,IAAGC,IAAGC,IAAGK,IAAGI,IAAGI,IAAGI,IAAGI,IAAGC,IAAGE,IAAGC,IAAGE,IAAGE,IAAGI,IAAGC,IAAGE,IAAGI,IAAGI,IAAGI,IAAGI,IAAGI,IAAGE,IAAGE,IAAGnH,IAAGuH,IAAGE,IAAGE,IAAGC,IAAGE,IAAGC,IAAGE,IAAGE,IAAGI,IAAGE,IAAGI,IAAGI,IAAGI,IAAGE,IAAGK,IAAGE,IAAGC,IAAGK,IAAGI,IAAGI,IAAGE,IAAGI,IAAGE,IAAGE,IAAGI,GAAGE,IAAGI,IAAGI,IAAGE,IAAGE,IAAGC,IAAGC,IAAGjL,IAAGqL,IAAGI,IAAGI,IAAGI,IAAGC,IAAGC,IAAGI,IAAGI,IAAGI,IAAGC,IAAGvM,IAAG2M,IAAGE,IAAGI,IAAGI,IAAGK,IAAGE,IAAGE,IAAGC,IAAGC,IAAGE,IAAGI,IAAGI,IAAGE,IAAGE,IAAGE,IAAGE,IAAGI,IAAGC,IAAGC,IAAGI,IAAGI,IAAGI,IAAGhS,IAAGkS,IAAGE,GAAE,EAAE,QAAQ/xH,KAAKgyH,IAAIxrG,GAAGxmB,CAAC,EAAE,IAAIiyH,GAAGx3G,EAAE,EAAEw3G,GAAG,aAAa,wBAAwB,SAAS,CAAC,GAAG,CAAC,OAAO,YAAY,SAAS,IAAI,WAAW,CAAC,EAAE,GAAG,IAAI,IAAI,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,IAAI,GAAG,GAAG,EAAE,CAAC,CAAC,CAAC,OAAOjyH,EAAN,CAAS,MAAM,EAAE,CAAC,CAAC,EAAEiyH,GAAG,aAAa,+BAA+B,SAAS,CAAC,GAAGA,GAAG,IAAI,SAAS,EAAE,MAAM,GAAG,GAAG,CAAC,OAAO,IAAI,eAAe,EAAE,MAAM,YAAY,IAAI,kBAAkB,CAAC,CAAC,EAAE,YAAY,SAAS,IAAI,WAAW,CAAC,EAAE,GAAG,IAAI,IAAI,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,GAAG,EAAE,EAAE,EAAE,GAAG,EAAE,IAAI,GAAG,EAAE,EAAE,GAAG,EAAE,CAAC,CAAC,CAAC,OAAOjyH,EAAN,CAAS,MAAM,EAAE,CAAC,CAAC,EAAE,IAAIkyH,GAAG1xH,GAAG+F,GAAG,CAAC,EAAE4rH,IAAG3xH,GAAGoW,GAAG,CAAC,EAAEw7G,GAAG5xH,GAAGuW,GAAG,CAAC,EAAMs7G,GAAGH,GAAG,SAASA,GAAGI,IAAIF,GAAG,SAASA,GAAGG,GAAG,cAAcn7G,EAAE,CAAC,YAAYtW,EAAE,CAAC,MAAM,EAAE,KAAK,KAAKA,EAAE,KAAK,iBAAiB,EAAE,KAAK,KAAK,KAAK,qBAAqB0xH,EAAE,EAAEC,GAAG,KAAK,KAAK,KAAK,gBAAgB,EAAE,KAAK,UAAU,IAAIt7G,GAAG,KAAKkc,GAAG,CAAC,CAAC,CAAC,MAAMvyB,EAAEZ,EAAE,EAAE,CAAC,IAAIK,EAAE,CAAC,GAAG,KAAK,kBAAkB,EAAE,OAAO,KAAK,KAAKA,EAAEO,EAAEZ,EAAE,EAAE,CAAC,EAAEK,CAAC,CAAC,YAAY,CAAC,OAAO,KAAK,UAAU,WAAW,CAAC,CAAC,MAAM,KAAKO,EAAE,CAAC,IAAIZ,EAAE2mB,EAAE,IAAI,EAAE,OAAO/lB,EAAE,EAAE,CAAC,SAAS+lB,EAAE,IAAI,EAAE3mB,CAAC,CAAC,CAAC,KAAKY,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,IAAIC,EAAE,KAAK,mBAAmB,GAAGzB,IAAI,SAAS,CAAC,IAAIqC,EAAE1C,EAAE,KAAK,UAAU,IAAIY,EAAE,CAAC,GAAGkB,EAAE,YAAYY,EAAE,MAAM,EAAE,MAAMrC,EAAE,aAAa,KAAK,SAASwB,CAAC,CAAC,EAAE,MAAM,CAAC,IAAIE,EAAE4kB,EAAE,cAAc,CAAC,EAAE3kB,EAAED,EAAE4kB,EAAE,gBAAgBtmB,CAAC,EAAE,EAAE,KAAK,KAAK,QAAQ2B,CAAC,EAAE,KAAK,UAAU,IAAIpB,EAAE,CAAC,GAAGkB,EAAE,aAAa,EAAE,MAAM,EAAE,MAAMzB,EAAE,SAASwB,CAAC,CAAC,EAAE,KAAK,KAAK,KAAK,eAAeC,EAAEC,EAAE,CAAC,EAAE/B,GAAG,MAAM,KAAK,KAAK,OAAO,IAAI,IAAI,WAAWA,EAAE,OAAOA,EAAE,WAAWgC,CAAC,EAAE,CAAC,CAAC,CAAC,MAAM,KAAKpB,EAAE,CAAC,OAAO,KAAK,SAASA,CAAC,CAAC,CAAC,SAASA,EAAEZ,EAAE,EAAE,CAAC,GAAG,CAAC,aAAaK,EAAE,MAAMwB,EAAE,MAAMC,EAAE,YAAYC,CAAC,EAAE,KAAK,UAAU,IAAInB,CAAC,EAAE,GAAGiB,IAAI,SAAS,OAAO7B,GAAG,MAAMA,IAAI,KAAK,GAAG,MAAM,GAAG+B,EAAE,QAAQA,EAAEA,EAAE,MAAM/B,EAAE,CAAC,EAAEA,EAAEA,GAAG,EAAE,EAAE,GAAG2mB,EAAE,cAAc7kB,CAAC,EAAE,IAAIE,EAAE2kB,EAAE,gBAAgB9kB,CAAC,EAAE,EAAE,KAAK,KAAK,OAAO,MAAMxB,EAAEL,EAAEgC,EAAE3B,EAAE,EAAE2B,CAAC,EAAE,OAAOwwH,IAAI,EAAE,OAAO3wH,CAAC,CAAC,CAAC,YAAYjB,EAAEZ,EAAE,GAAG,CAAC,GAAG,KAAK,UAAU,IAAIY,CAAC,EAAE,CAAC,IAAI,EAAE,KAAK,UAAU,IAAIA,CAAC,EAAE,GAAG,EAAE,WAAW,CAACZ,GAAG,EAAE,SAAS,EAAE,MAAM,GAAG,KAAK,KAAK,MAAM,EAAE,YAAY,EAAE,KAAK,KAAK,KAAK,YAAY,EAAE,EAAE,EAAE,KAAK,UAAU,OAAOY,CAAC,CAAC,CAAC,MAAM,EAAE,CAAC,SAASA,EAAE,CAAC,OAAO,KAAK,UAAU,IAAIA,CAAC,EAAE,KAAK,UAAU,IAAIA,CAAC,EAAE,SAAS,CAAC,CAAC,OAAOA,EAAE,CAAC,IAAIZ,EAAE,KAAK,UAAU,IAAIY,CAAC,EAAEZ,GAAG,MAAMA,EAAE,UAAU,CAAC,gBAAgB,CAAC,MAAO,GAAE,CAAC,gBAAgBY,EAAE,CAAC,OAAO,KAAK,UAAU,IAAIA,CAAC,EAAE,YAAY,CAAC,SAAS,CAAC,KAAK,KAAK,KAAK,QAAQ,EAAE,YAAY,KAAK,MAAM,KAAK,KAAK,QAAQ,oBAAoB,EAAE,KAAK,KAAK,IAAI,CAAC,QAAQ,CAAC,MAAM,CAAC,WAAW,EAAE,CAAC,CAAC,WAAWA,EAAEZ,EAAE,EAAE,CAAC,IAAIK,EAAE,GAAG,GAAG,KAAKA,EAAE,KAAK,MAAM,KAAKO,EAAEZ,CAAC,MAAM,CAAC,IAAI6B,EAAE,KAAK,mBAAmBxB,EAAE,CAAC,GAAGwB,CAAC,EAAE,KAAK,UAAU,IAAIxB,EAAE,CAAC,GAAGwB,EAAE,aAAa,EAAE,MAAMjB,EAAE,MAAMZ,EAAE,SAAS,CAAC,CAAC,EAAE,IAAI8B,EAAE6kB,EAAE,cAAc/lB,CAAC,EAAE,KAAK,KAAK,KAAK,eAAeiB,EAAEC,EAAE,CAAC,CAAC,CAAC,MAAM,CAAC,OAAOzB,EAAE,MAAMO,EAAE,MAAMZ,CAAC,CAAC,CAAC,mBAAmB,CAAC,MAAMY,EAAE,MAAMZ,EAAE,OAAO,CAAC,EAAE,CAAC,IAAIK,EAAE,KAAK,KAAK,OAAO,OAAO,CAAC,aAAawB,CAAC,EAAE,KAAK,UAAU,IAAI,CAAC,EAAEC,EAAE6kB,EAAE,cAAc/lB,CAAC,EAAE,OAAOZ,EAAE,CAAC,IAAI,UAAU,OAAO,IAAI,aAAaK,EAAEwB,EAAEC,CAAC,EAAE,IAAI,QAAQ,OAAO,IAAI,WAAWzB,EAAEwB,EAAEC,CAAC,EAAE,IAAI,OAAO,OAAO,IAAI,WAAWzB,EAAEwB,EAAEC,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,iBAAiB9B,GAAG,CAAC,CAAC,CAAC,EAAE,SAASyyH,IAAI3yH,EAAE,CAAC,MAAM,CAAC,EAAEE,KAAK2mB,EAAE,MAAM7mB,EAAE,CAAC,YAAY,aAAa,CAAC,EAAE,KAAKM,GAAG,CAACA,EAAE,IAAI,EAAE,IAAI,EAAE,uCAAuCN,IAAI,EAAEM,EAAE,YAAY,EAAE,KAAKC,GAAG,CAAC,YAAY,YAAYA,EAAE,CAAC,EAAE,KAAK,GAAG,CAACL,EAAE,EAAE,SAAS,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,SAAS0yH,GAAG5yH,EAAE,EAAEE,EAAE,CAAC,GAAG2yH,IAAI,KAAK,OAAOA,GAAG,IAAIvyH,EAAE,yBAAyB,OAAON,GAAG,EAAEM,EAAE,uCAAuCN,IAAIM,EAAE,+BAA+BwyH,IAAI,MAAMA,GAAGxyH,IAAI,KAAKwyH,GAAGxyH,GAAGJ,EAAEI,CAAC,CAAC,eAAeyyH,KAAI,CAAC,GAAG,CAAC/yH,EAAE,CAAC,EAAE,MAAM,QAAQ,IAAI,CAACya,EAAE,EAAE,SAAS,uBAAuB,EAAEA,EAAE,EAAE,SAAS,8BAA8B,CAAC,CAAC,EAAE,OAAO,IAAI,QAAQ,CAACva,EAAEI,IAAI,CAAC,IAAIC,EAAE,CAAC,EAAEA,EAAE,WAAW,CAAC0B,EAAEC,IAAI,CAAC,GAAGD,EAAE,SAAS,YAAY,EAAE,CAAC,IAAIE,EAAEgwH,IAAG,mBAAmB,QAAQ,MAAM,KAAK,EAAEvvH,EAAE,IAAI,KAAK,CAACT,CAAC,EAAE,CAAC,KAAK,wBAAwB,CAAC,EAAE,OAAO,IAAI,gBAAgBS,CAAC,CAAC,CAAC,OAAOX,EAAE,SAAS,OAAO,EAAE2wH,GAAG5yH,EAAE,EAAEgzH,IAAI,KAAKA,GAAG9wH,CAAC,EAAEA,EAAED,CAAC,EAAEgxH,KAAK1yH,EAAE,gBAAgBoyH,IAAIC,GAAG5yH,EAAE,EAAEgzH,IAAI,KAAKA,GAAG,EAAE,CAAC,GAAG,IAAI,EAAE,GAAGzyH,EAAE,QAAQ,IAAI,CAAI,GAAG2yH,KAAUA,GAAG,GAAG5yH,EAAE,CAAC,QAAQ,iMAAiM,CAAC,EAAC,EAAE,IAAI,EAAE,GAAGN,GAAG6yH,IAAI,MAAMtyH,EAAE,oBAAoB,IAAI,KAAK,CAAC,uCAAuC8xH,GAAG,SAAS,CAAC,EAAE,CAAC,KAAK,iBAAiB,CAAC,EAAE,EAAEA,GAAG9xH,CAAC,GAAG,EAAE+xH,IAAI/xH,CAAC,EAAE,EAAE,KAAK0B,GAAG,CAAC,EAAE,GAAGixH,GAAG,GAAG,IAAIhxH,EAAE,KAAKD,EAAE,KAAK,CAAC,KAAKA,EAAE,MAAM,OAAO,KAAK,CAAC,CAAC,EAAE,qBAAqBA,EAAE,MAAM,0BAA0B,KAAK,CAAC,QAAQ,CAAC,EAAE,gBAAgBA,EAAE,MAAM,oBAAoB,SAAS,CAAC,CAAC,EAAE,eAAeA,EAAE,MAAM,kBAAkB,KAAK,CAAC,SAAS,SAAS,QAAQ,CAAC,EAAE,YAAYA,EAAE,MAAM,eAAeC,EAAE,CAAC,QAAQ,CAAC,EAAE,QAAQD,EAAE,MAAM,UAAUC,EAAE,CAAC,CAAC,CAAC,EAAEhC,EAAE,CAAC,KAAK+B,CAAC,CAAC,CAAC,CAAC,EAAE,MAAM3B,CAAC,CAAC,CAAC,CAAC,CAAC,SAASoyH,IAAI1yH,EAAE,EAAE,CAAC,OAAO,EAAE,CAAC,IAAI,UAAU,OAAO,IAAI,aAAaA,CAAC,EAAE,IAAI,QAAQ,OAAO,IAAI,WAAWA,CAAC,EAAE,IAAI,OAAO,OAAO,IAAI,WAAWA,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,iBAAiB,GAAG,CAAC,CAAC,CAAC,IAAImzH,IAAI,CAAC,yBAAyB,8BAA8B,sCAAsC,EAAEN,GAAG,KAAKG,GAAG,KAAKF,GAAG,CAAC,EAAEI,GAAG,GAAGD,GAAG,GAAG,SAASG,IAAIpzH,EAAE,EAAE,GAAG,CAAC,GAAGmzB,GAAG,mGAAmG,EAAE+/F,GAAG,MAAM,IAAI,MAAM,gIAAgI,EAAEL,GAAG7yH,EAAEizH,GAAG,CAAC,CAAC,SAASI,IAAIrzH,EAAE,EAAE,GAAG,CAAC,GAAGkzH,GAAG,MAAM,IAAI,MAAM,iIAAiI,EAAE,GAAG,OAAOlzH,GAAG,SAASgzH,GAAGhzH,MAAM,CAAC8yH,GAAG9yH,EAAE,IAAIE,EAAEizH,IAAI,OAAO7yH,GAAGwyH,GAAGxyH,IAAI,IAAI,EAAE,GAAGJ,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,2DAA2DA,EAAE,KAAK,GAAG,gKAAgK,CAAC,CAAC+yH,GAAG,CAAC,CAAC,IAAIT,GAAG,GAAGC,GAAG,GAAG,SAASa,IAAItzH,EAAE,CAACwyH,GAAGxyH,CAAC,CAAC,SAASuzH,KAAK,CAAC,GAAGd,KAAK,GAAG,MAAM,IAAI,MAAM,+BAA+B,EAAE,OAAOA,EAAE,CAAC,IAAIe,IAAI,SAAaC,IAAI,EAAEv/F,GAAG,OAAO,SAAS,CAAC,GAAG,CAAC,KAAKl0B,CAAC,EAAE,MAAM+yH,IAAG,EAAE,OAAO,IAAIR,GAAGvyH,CAAC,CAAC,EAAEyzH,GAAG,EAAE,IAAIC,IAAI,SAASC,IAAI,SAASC,IAAI,SAASC,IAAI,SAASC,IAAI,SAASC,IAAI,SAASC,IAAI,SAASC,IAAI,SAASC,IAAI,CAAC,KAAKR,IAAI,YAAYC,IAAI,YAAYC,IAAI,cAAcC,IAAI,iBAAiBC,IAAI,mBAAmBC,IAAI,qBAAqBC,IAAI,oBAAoBC,GAAG,ECtxJv8e,IAAAE,GAAA,GAAAC,GAAAD,GAAA,oBAAAE,GAAA,YAAAC,GAAA,mBAAAC,GAAA,sBAAAC,GAAA,6BAAAC,GAAA,kBAAAC,GAAA,yBAAAC,GAAA,gBAAAC,GAAA,mBAAAC,IAAA,wBAAAC,IAAA,sBAAAC,MCEO,SAASC,GACdC,EACAC,EACAC,EAAW,GACX,CASA,GARAF,EAAI,UAAU,EAEdC,EAAO,MAAM,CAAC,EAAE,QAAQ,CAAC,CAAE,EAAAE,EAAG,EAAAC,CAAE,EAAGC,IAAY,CAC7C,IAAMC,EAAOL,EAAOI,GACpBL,EAAI,OAAOM,EAAK,EAAGA,EAAK,CAAC,EACzBN,EAAI,OAAOG,EAAGC,CAAC,CACjB,CAAC,EAEGF,EAAU,CACZ,IAAMI,EAAOL,EAAOA,EAAO,OAAS,GAC9BM,EAAKN,EAAO,GAClB,GAAI,CAACK,GAAQ,CAACC,EACZ,OAGFP,EAAI,OAAOM,EAAK,EAAGA,EAAK,CAAC,EACzBN,EAAI,OAAOO,EAAG,EAAGA,EAAG,CAAC,CACvB,CAEAP,EAAI,OAAO,CACb,CC3BA,IAAAQ,GAAA,GAAAC,GAAAD,GAAA,+BAAAE,GAAA,mBAAAC,GAAA,iBAAAC,GAAA,WAAAC,GAAA,YAAAC,GAAA,aAAAC,GAAA,eAAAC,IAAA,eAAAC,GAAA,eAAAC,GAAA,eAAAC,GAAA,kBAAAC,GAAA,uBAAAC,GAAA,UAAAC,GAAA,UAAAC,KCOO,IAAMC,GAAN,KAAwC,CAK7C,YAAYC,EAAeC,EAAgB,CACzC,GAAI,CAACC,GAAcF,CAAK,GAAK,CAACE,GAAcD,CAAM,EAChD,MAAM,IAAI,MAAM,wFAAwF,KAAK,UAAU,CAAE,MAAAD,EAAO,OAAAC,CAAO,CAAC,GAAG,EAG7I,KAAK,OAASD,EACd,KAAK,QAAUC,CACjB,CAEA,IAAW,OAAgB,CAAE,OAAO,KAAK,MAAQ,CAEjD,IAAW,QAAiB,CAAE,OAAO,KAAK,OAAS,CAE5C,SAAsB,CAC3B,OAAO,IAAIF,GAAW,EAAI,KAAK,MAAO,EAAI,KAAK,MAAM,CACvD,CACF,EDvBO,SAASI,GAASC,EAAaC,EAAa,CACjD,OAAOD,aAAqBE,IAAUF,EAAO,MAAM,SAAWC,CAChE,CAEO,SAASE,IAAWH,EAAoC,CAC7D,OAAOD,GAASC,EAAQ,CAAC,CAC3B,CAEO,SAASI,GAAWJ,EAAoC,CAC7D,OAAOD,GAASC,EAAQ,CAAC,CAC3B,CAEO,SAASK,GAAWL,EAAoC,CAC7D,OAAOD,GAASC,EAAQ,CAAC,CAC3B,CAEO,SAASM,GAAWN,EAAoC,CAC7D,OAAOD,GAASC,EAAQ,CAAC,CAC3B,CAEO,SAASO,GAAQC,EAAa,CACnC,OAAOA,EAAM,IAAM,CACrB,CAEO,SAASC,GAAOD,EAAa,CAClC,OAAOA,EAAM,IAAM,CACrB,CAEO,SAASE,GAAMF,EAAaG,EAAO,EAAG,CAC3C,IAAMC,EAAI,IAAMD,EAChB,OAAO,KAAK,MAAMH,EAAMI,CAAC,EAAIA,CAC/B,CAEO,SAASC,GAAaC,EAAmB,CAC9C,OAAOA,GAAOA,EAAI,OAASA,EAAI,MACjC,CAEO,SAASC,GAA0B,CAAE,MAAAC,EAAO,OAAAC,CAAO,EAAgBC,EAAmB,CAC3F,IAAMC,EAAQD,EAAY,KAAK,IAAID,EAAQD,CAAK,EAChD,OAAO,IAAII,GAAW,KAAK,MAAMJ,EAAQG,CAAK,EAAG,KAAK,MAAMF,EAASE,CAAK,CAAC,CAC7E,CAEO,SAASE,GAAeC,EAAqB,CAClD,OAAOA,EAAI,OAAO,CAACC,EAAKC,IAAOD,EAAI,IAAIC,CAAE,EAAG,IAAIC,GAAM,EAAG,CAAC,CAAC,EACxD,IAAI,IAAIA,GAAMH,EAAI,OAAQA,EAAI,MAAM,CAAC,CAC1C,CAEO,SAASI,GAAMlB,EAAamB,EAAeC,EAAwB,CACxE,OAAO,MAAMpB,CAAG,EAAE,KAAK,CAAC,EAAE,IAAI,CAACqB,EAAGC,IAAMH,EAASG,EAAIF,CAAK,CAC5D,CAEO,SAASG,GAAcvB,EAAU,CACtC,MAAO,CAAC,CAACA,GAAQA,IAAQ,KAAcA,IAAQ,MAAc,CAAC,OAAO,MAAMA,CAAG,GAAKA,IAAQ,CAC7F,CAEO,SAASwB,GAAmBxB,EAAU,CAC3C,OAAOuB,GAAcvB,CAAG,GAAKA,GAAO,GAAKA,GAAO,CAClD,CEzDO,IAAMyB,GAAN,KAA8B,CAKnC,YAAYC,EAAWC,EAAW,CAChC,KAAK,GAAKD,EACV,KAAK,GAAKC,CACZ,CAEA,IAAI,GAAY,CAAE,OAAO,KAAK,EAAI,CAElC,IAAI,GAAY,CAAE,OAAO,KAAK,EAAI,CAE3B,IAAIC,EAAmB,CAC5B,OAAO,IAAIH,GAAM,KAAK,EAAIG,EAAG,EAAG,KAAK,EAAIA,EAAG,CAAC,CAC/C,CAEO,IAAIA,EAAmB,CAC5B,OAAO,IAAIH,GAAM,KAAK,EAAIG,EAAG,EAAG,KAAK,EAAIA,EAAG,CAAC,CAC/C,CAEO,IAAIA,EAAmB,CAC5B,OAAO,IAAIH,GAAM,KAAK,EAAIG,EAAG,EAAG,KAAK,EAAIA,EAAG,CAAC,CAC/C,CAEO,IAAIA,EAAmB,CAC5B,OAAO,IAAIH,GAAM,KAAK,EAAIG,EAAG,EAAG,KAAK,EAAIA,EAAG,CAAC,CAC/C,CAEO,KAAa,CAClB,OAAO,IAAIH,GAAM,KAAK,IAAI,KAAK,CAAC,EAAG,KAAK,IAAI,KAAK,CAAC,CAAC,CACrD,CAEO,WAAoB,CACzB,OAAO,KAAK,KAAM,KAAK,GAAK,EAAM,KAAK,GAAK,CAAE,CAChD,CAEO,OAAe,CACpB,OAAO,IAAIA,GAAM,KAAK,MAAM,KAAK,CAAC,EAAG,KAAK,MAAM,KAAK,CAAC,CAAC,CACzD,CACF,ECxCO,IAAMI,GAAN,KAAwD,CAC7D,OAAc,OAAOC,EAAoB,CACvC,MAAO,CAAC,CAACA,GAAQ,CAACA,EAAK,EAAGA,EAAK,EAAGA,EAAK,MAAOA,EAAK,MAAM,EAAE,MAAMC,EAAa,CAChF,CAEA,OAAc,iBAAiBC,EAAUC,EAAgBC,EAA0B,GAAO,CACxF,GAAI,CAACL,GAAI,OAAOG,CAAG,EACjB,MAAM,IAAI,MAAM,GAAGC,oBAAyB,KAAK,UAAUD,CAAG,wDAAwD,EAGxH,GAAI,CAACE,IAA4BF,EAAI,MAAQ,GAAKA,EAAI,OAAS,GAC7D,MAAM,IAAI,MAAM,GAAGC,cAAmBD,EAAI,sBAAsBA,EAAI,kCAAkC,CAE1G,CAUA,YAAYG,EAA4BD,EAA0B,GAAM,CACtE,IAAMF,EAAOG,GAAQ,CAAC,EAEhBC,EAAS,CAACJ,EAAI,KAAMA,EAAI,IAAKA,EAAI,MAAOA,EAAI,MAAM,EAAE,MAAMD,EAAa,EACvEM,EAAS,CAACL,EAAI,EAAGA,EAAI,EAAGA,EAAI,MAAOA,EAAI,MAAM,EAAE,MAAMD,EAAa,EAExE,GAAI,CAACM,GAAU,CAACD,EACd,MAAM,IAAI,MAAM,2EAA2E,KAAK,UAAUJ,CAAG,GAAG,EAGlH,GAAM,CAACM,EAAGC,EAAGC,EAAOC,CAAM,EAAIJ,EAC1B,CAACL,EAAI,EAAGA,EAAI,EAAGA,EAAI,MAAOA,EAAI,MAAM,EACpC,CAACA,EAAI,KAAMA,EAAI,IAAKA,EAAI,MAAQA,EAAI,KAAMA,EAAI,OAASA,EAAI,GAAG,EAElEH,GAAI,iBAAiB,CACnB,EAAAS,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CACf,EAAG,kBAAmBP,CAAuB,EAE7C,KAAK,GAAKI,EACV,KAAK,GAAKC,EACV,KAAK,OAASC,EACd,KAAK,QAAUC,CACjB,CAEA,IAAW,GAAY,CAAE,OAAO,KAAK,EAAI,CAEzC,IAAW,GAAY,CAAE,OAAO,KAAK,EAAI,CAEzC,IAAW,OAAgB,CAAE,OAAO,KAAK,MAAQ,CAEjD,IAAW,QAAiB,CAAE,OAAO,KAAK,OAAS,CAEnD,IAAW,MAAe,CAAE,OAAO,KAAK,CAAG,CAE3C,IAAW,KAAc,CAAE,OAAO,KAAK,CAAG,CAE1C,IAAW,OAAgB,CAAE,OAAO,KAAK,EAAI,KAAK,KAAO,CAEzD,IAAW,QAAiB,CAAE,OAAO,KAAK,EAAI,KAAK,MAAQ,CAE3D,IAAW,MAAe,CAAE,OAAO,KAAK,MAAQ,KAAK,MAAQ,CAE7D,IAAW,SAAiB,CAAE,OAAO,IAAIC,GAAM,KAAK,KAAM,KAAK,GAAG,CAAG,CAErE,IAAW,UAAkB,CAAE,OAAO,IAAIA,GAAM,KAAK,MAAO,KAAK,GAAG,CAAG,CAEvE,IAAW,YAAoB,CAAE,OAAO,IAAIA,GAAM,KAAK,KAAM,KAAK,MAAM,CAAG,CAE3E,IAAW,aAAqB,CAAE,OAAO,IAAIA,GAAM,KAAK,MAAO,KAAK,MAAM,CAAG,CAEtE,OAAsB,CAC3B,GAAM,CAACJ,EAAGC,EAAGC,EAAOC,CAAM,EAAI,CAAC,KAAK,EAAG,KAAK,EAAG,KAAK,MAAO,KAAK,MAAM,EACnE,IAAKE,GAAQ,KAAK,MAAMA,CAAG,CAAC,EAC/B,OAAO,IAAId,GAAI,CACb,EAAAS,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CACf,CAAC,CACH,CAEO,OAAsB,CAC3B,GAAM,CAACH,EAAGC,EAAGC,EAAOC,CAAM,EAAI,CAAC,KAAK,EAAG,KAAK,EAAG,KAAK,MAAO,KAAK,MAAM,EACnE,IAAKE,GAAQ,KAAK,MAAMA,CAAG,CAAC,EAC/B,OAAO,IAAId,GAAI,CACb,EAAAS,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CACf,CAAC,CACH,CAEO,UAAyB,CAC9B,GAAI,CACF,EAAAH,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CACf,EAAI,KACEG,EAAO,KAAK,IAAIJ,EAAQC,CAAM,EACpC,OAAID,EAAQC,IACVH,GAAMM,EAAO,EACbJ,GAASI,GAEPH,EAASD,IACXD,GAAMK,EAAO,EACbH,GAAUG,GAGL,IAAIf,GAAI,CAAE,EAAAS,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CAAO,CAAC,CACxC,CAEO,QAAQI,EAAuC,CACpD,IAAMC,EAASC,GAAaF,CAAC,EAAKA,EAAkB,MAAQA,EACtDG,EAASD,GAAaF,CAAC,EAAKA,EAAkB,OAASA,EAC7D,OAAO,IAAIhB,GAAI,CACb,EAAG,KAAK,EAAIiB,EACZ,EAAG,KAAK,EAAIE,EACZ,MAAO,KAAK,MAAQF,EACpB,OAAQ,KAAK,OAASE,CACxB,CAAC,CACH,CAEO,IAAIC,EAAcC,EAA4B,CACnD,GAAM,CAACZ,EAAGC,EAAGC,EAAOC,CAAM,EAAI,CAC5B,KAAK,EAAKQ,EAAO,EACjB,KAAK,EAAKC,EAAO,EACjB,KAAK,MAAQD,EACb,KAAK,OAASC,CAChB,EACA,OAAO,IAAIrB,GAAI,CAAE,EAAAS,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CAAO,CAAC,CACxC,CAEO,mBAAmBU,EAAkBC,EAAiC,CAC3E,GAAM,CAAE,EAAAd,EAAG,EAAAC,EAAG,MAAAc,EAAO,OAAAC,CAAO,EAAI,KAC1BC,EAAW,KAAK,IAAIjB,EAAG,CAAC,EACxBkB,EAAW,KAAK,IAAIjB,EAAG,CAAC,EAExBkB,EAAWJ,EAAQE,EACnBG,EAAYJ,EAASE,EACrBG,EAAe,KAAK,IAAIF,EAAUN,EAAWI,CAAQ,EACrDK,EAAgB,KAAK,IAAIF,EAAWN,EAAYI,CAAQ,EAE9D,OAAQ,IAAI3B,GAAI,CAAE,EAAG0B,EAAU,EAAGC,EAAU,MAAOG,EAAc,OAAQC,CAAc,CAAC,EAAG,MAAM,CACnG,CAEO,MAAMC,EAAYC,EAA0B,CACjD,GAAM,CAAE,MAAAtB,EAAO,OAAAC,CAAO,EAAI,KACpBH,EAAI,KAAK,EAAIuB,EACbtB,EAAI,KAAK,EAAIuB,EAEnB,OAAO,IAAIjC,GAAI,CAAE,EAAAS,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CAAO,CAAC,CACxC,CAEO,aAAasB,EAAqBC,EAAoB,CAC3D,IAAMC,EAAI,KAAK,MAAQ,EACjBC,EAAI,KAAK,OAAS,EAElBC,EAAK,EACLC,EAAK,EACPC,EAAMJ,EACNK,EAAMJ,EAEN5B,EAAI,KAAK,KACTC,EAAI,KAAK,IACTgC,EAAK,KAAK,MACVC,EAAK,KAAK,OAEd,OAAID,EAAKP,IACPK,EAAM,CAACE,EAAKP,EAAaC,EACzBM,EAAKP,GAEHQ,EAAKT,IACPO,EAAM,CAACE,EAAKT,EAAcG,EAC1BM,EAAKT,GAEHzB,EAAI,IACNgC,EAAM,EAAIhC,EACVA,EAAI,GAEFC,EAAI,IACN+B,EAAM,EAAI/B,EACVA,EAAI,GAGC,CAAE,GAAA6B,EAAI,IAAAE,EAAK,GAAAH,EAAI,IAAAE,EAAK,EAAA9B,EAAG,GAAAiC,EAAI,EAAAlC,EAAG,GAAAiC,EAAI,EAAAN,EAAG,EAAAC,CAAE,CAChD,CAEO,UAAUO,EAAa,CAC5B,OAAO,IAAI5C,GAAI,CACb,KAAM,KAAK,KAAQ4C,EAAO,KAAO,KAAK,MACtC,IAAK,KAAK,IAAOA,EAAO,IAAM,KAAK,OACnC,MAAO,KAAK,MAASA,EAAO,MAAQ,KAAK,MACzC,OAAQ,KAAK,OAAUA,EAAO,OAAS,KAAK,MAC9C,CAAC,EAAE,SAAS,EAAE,MAAM,CACtB,CACF,EC3LO,IAAMC,GAAN,cAA0BC,EAA4B,CAC3D,YAAYC,EAAcC,EAAaC,EAAeC,EAAgBC,EAA0B,GAAO,CACrG,MAAM,CAAE,KAAAJ,EAAM,IAAAC,EAAK,MAAAC,EAAO,OAAAC,CAAO,EAAGC,CAAuB,CAC7D,CACF,ECTO,IAAMC,GAAN,KAAsB,CAW3B,YACEC,EACAC,EACAC,EACAC,EACAC,EACA,CACA,KAAK,WAAa,IAAIC,GAAWD,EAAU,MAAOA,EAAU,MAAM,EAClE,KAAK,OAASJ,EACd,KAAK,YAAcC,EACnB,KAAK,WAAaC,EAClB,KAAK,KAAO,IAAII,GAAIH,CAAW,EAAE,QAAQ,KAAK,UAAU,CAC1D,CAEA,IAAW,OAAgB,CAAE,OAAO,KAAK,MAAQ,CAEjD,IAAW,YAAqB,CAAE,OAAO,KAAK,WAAa,CAE3D,IAAW,WAAoB,CAAE,OAAO,KAAK,UAAY,CAEzD,IAAW,KAAW,CAAE,OAAO,KAAK,IAAM,CAE1C,IAAW,WAAwB,CAAE,OAAO,KAAK,UAAY,CAE7D,IAAW,YAAqB,CAAE,OAAO,KAAK,UAAU,KAAO,CAE/D,IAAW,aAAsB,CAAE,OAAO,KAAK,UAAU,MAAQ,CAEjE,IAAW,aAAmB,CAAE,OAAO,IAAIG,GAAI,KAAK,IAAI,EAAE,QAAQ,KAAK,UAAU,QAAQ,CAAC,CAAG,CAEtF,QAAQC,EAAeC,EAAiC,CAC7D,OAAO,IAAIT,GACT,KAAK,MACL,KAAK,WACL,KAAK,UACL,KAAK,YACL,CAAE,MAAAQ,EAAO,OAAAC,CAAO,CAClB,CACF,CACF,EC5CO,IAAMC,GAAN,cAA4BC,EAAyC,CAC1E,YACEC,EACAC,EACAC,EACA,CACA,MAAMF,EAAOA,EAAO,GAAIC,EAAaC,CAAS,CAChD,CAEgB,QAAQC,EAAeC,EAA+B,CACpE,GAAM,CAAE,MAAAJ,EAAO,YAAAC,EAAa,UAAAC,CAAU,EAAI,MAAM,QAAQC,EAAOC,CAAM,EACrE,OAAO,IAAIN,GAAcE,EAAOC,EAAaC,CAAS,CACxD,CACF,ECrBO,SAASG,GAAIC,EAAWC,EAAWC,EAAQ,GAAM,CACtD,IAAMC,EAAQ,KAAK,IAAI,EAAK,KAAK,IAAIH,EAAK,MAAOC,EAAK,KAAK,EAAI,KAAK,IAAID,EAAK,KAAMC,EAAK,IAAI,CAAC,EACvFG,EAAS,KAAK,IAAI,EAAK,KAAK,IAAIJ,EAAK,OAAQC,EAAK,MAAM,EAAI,KAAK,IAAID,EAAK,IAAKC,EAAK,GAAG,CAAC,EACxFI,EAAeF,EAAQC,EAE7B,OAAOF,EACHG,GAAgBL,EAAK,KAAOC,EAAK,KAAOI,GACxCA,EAAe,KAAK,IAAIL,EAAK,KAAMC,EAAK,IAAI,CAClD,CCRO,SAASK,GAAQC,EAA4B,CAClD,IAAMC,EAAKD,EAAI,IAAKE,GAAOA,EAAG,CAAC,EACzBC,EAAKH,EAAI,IAAKE,GAAOA,EAAG,CAAC,EACzBE,EAAOH,EAAG,OAAO,CAACI,EAAKC,IAAOA,EAAID,EAAMC,EAAID,EAAM,GAAQ,EAC1DE,EAAOJ,EAAG,OAAO,CAACE,EAAKG,IAAOA,EAAIH,EAAMG,EAAIH,EAAM,GAAQ,EAC1DI,EAAOR,EAAG,OAAO,CAACS,EAAKJ,IAAOI,EAAMJ,EAAIA,EAAII,EAAM,CAAC,EACnDC,EAAOR,EAAG,OAAO,CAACO,EAAKF,IAAOE,EAAMF,EAAIA,EAAIE,EAAM,CAAC,EAEzD,OAAO,IAAIE,GAAYR,EAAMG,EAAME,EAAME,CAAI,CAC/C,CCRO,SAASE,GACdC,EACAC,EACAC,EACAC,EAAQ,GACE,CACV,IAAIC,EAAuBH,EACxB,IAAI,CAACI,EAAOC,KAAc,CAAE,MAAAD,EAAO,SAAAC,CAAS,EAAE,EAC9C,KAAK,CAACC,EAAIC,IAAOD,EAAG,MAAQC,EAAG,KAAK,EACpC,IAAKC,GAAMA,EAAE,QAAQ,EAElBC,EAAiB,CAAC,EAExB,KAAON,EAAqB,OAAS,GAAG,CACtC,IAAMO,EAAOP,EAAqB,IAAI,EACtCM,EAAK,KAAKC,CAAI,EAEd,IAAMC,EAAUR,EAEVS,EAAoB,CAAC,EAC3B,QAASC,EAAI,EAAGA,EAAIF,EAAQ,OAAQE,IAAK,CACvC,IAAMC,EAAMH,EAAQE,GAEdE,EAAUhB,EAAMW,GAChBM,EAASjB,EAAMe,GAErBF,EAAQ,KAAKK,GAAIF,EAASC,EAAQd,CAAK,CAAC,CAC1C,CAEAC,EAAuBA,EAAqB,OAC1C,CAACe,EAAGC,IAAMP,EAAQO,IAAMlB,CAC1B,CACF,CAEA,OAAOQ,CACT,CCpCO,SAASW,GAAUC,EAAgBC,EAAgC,CACxE,OAAUC,EAAK,IAAM,CACnB,GAAM,CAACC,EAAGC,EAAGC,CAAC,EAAIJ,EACZK,EAAWC,GAAK,CAAC,GAAGP,EAAE,MAAM,MAAM,EAAG,CAAC,EAAG,CAAC,EAAGG,EAAG,SAAS,EACzDK,EAAWD,GAAK,CAAC,GAAGP,EAAE,MAAM,MAAM,EAAG,CAAC,EAAG,CAAC,EAAGI,EAAG,SAAS,EACzDK,EAAWF,GAAK,CAAC,GAAGP,EAAE,MAAM,MAAM,EAAG,CAAC,EAAG,CAAC,EAAGK,EAAG,SAAS,EACzDK,EAAaC,GAAO,CAACL,EAAOE,EAAOC,CAAK,EAAG,CAAC,EAElD,OAAUG,GAAIZ,EAAGU,CAAO,CAC1B,CAAC,CACH,CCFO,SAASG,GAAYC,EAAwBC,EAAgB,GAAoB,CACtF,OAAUC,EAAK,IAAM,CACnB,GAAM,CAACC,EAAQC,CAAK,EAAIJ,EAAU,MAAM,MAAM,CAAC,EAC/C,GAAIG,IAAWC,EAAO,OAAOJ,EAC7B,IAAMK,EAAU,KAAK,IAAIF,EAASC,CAAK,EACjCE,EAAgB,KAAK,MAAMD,GAAWJ,EAAgB,GAAM,EAAE,EAC9DM,EAAcJ,EAASC,EAAQ,EAAI,EACnCI,EAAuBC,GAA0C,CACrE,IAAMC,EAAqBV,EAAU,MAAM,MAAM,EACjD,OAAAU,EAAmBH,GAAeE,EACxBE,GAAKD,EAAoB,EAAG,SAAS,CACjD,EACME,EAAsBJ,EAAoBF,CAAa,EACvDO,EAAyBR,EAAWO,EAAoB,MAAML,GAE9DO,EAAiB,CADMb,GAAiBY,EAAyBL,EAAoBK,CAAsB,EAAI,KACvEb,EAAWY,CAAmB,EACzE,OAAQG,GAAM,CAAC,CAACA,CAAC,EACjB,IAAKA,GAASC,GAAKD,EAAkB,SAAS,CAAC,EAClD,OAAUE,GAAOH,EAAgBP,CAAW,CAC9C,CAAC,CACH,CC9BO,SAASW,IAAaC,EAAmB,CAC9C,IAAMC,EAAQD,EAAW,MAAM,EAC/B,QAASE,EAAID,EAAM,OAAS,EAAGC,EAAI,EAAGA,IAAK,CACzC,IAAMC,EAAI,KAAK,MAAM,KAAK,OAAO,GAAKD,EAAI,EAAE,EACtCE,EAAIH,EAAMC,GAChBD,EAAMC,GAAKD,EAAME,GACjBF,EAAME,GAAKC,CACb,CACA,OAAOH,CACT,CCFO,SAASI,GAAQC,EAAW,CACjC,MAAO,IAAK,EAAI,KAAK,IAAI,CAACA,CAAC,EAC7B,CAEO,SAASC,IAAeD,EAAW,CACxC,OAAO,KAAK,IAAIA,GAAK,EAAIA,EAAE,CAC7B,CCJO,IAAME,GAAN,cAAmBC,EAAqB,CAC7C,YAAYC,EAAWC,EAAWC,EAAeC,EAAgBC,EAA0B,GAAO,CAChG,MAAM,CAAE,EAAAJ,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CAAO,EAAGC,CAAuB,CACxD,CACF,ECHA,IAAMC,IAAO,GACPC,IAAO,IACPC,IAAW,IAOJC,GAAN,KAA8C,CAOnD,YACEC,EACAC,EACAC,EAAe,IAAIC,GAAM,EAAG,CAAC,EAC7B,CACA,GAAM,CAAE,MAAAC,EAAO,OAAAC,CAAO,EAAIJ,EAC1B,KAAK,SAAW,IAAIK,GAAWF,EAAOC,CAAM,EAC5C,KAAK,OAASH,EACd,KAAK,WAAaF,EAA8B,IAC7CO,GAAOA,EAAG,IAAI,IAAIJ,GAAMC,EAAOC,CAAM,CAAC,EAAE,IAAIH,CAAK,CACpD,CACF,CAEA,IAAW,OAAe,CAAE,OAAO,IAAIC,GAAM,KAAK,OAAO,EAAG,KAAK,OAAO,CAAC,CAAG,CAE5E,IAAW,YAAqB,CAAE,OAAO,KAAK,SAAS,KAAO,CAE9D,IAAW,aAAsB,CAAE,OAAO,KAAK,SAAS,MAAQ,CAEhE,IAAW,WAAqB,CAAE,OAAO,KAAK,UAAY,CAE1D,IAAW,mBAA6B,CACtC,OAAO,KAAK,WAAW,IACpBI,GAAOA,EAAG,IAAI,KAAK,MAAM,EAAE,IAAI,IAAIJ,GAAM,KAAK,WAAY,KAAK,WAAW,CAAC,CAC9E,CACF,CAEO,QAAiCC,EAAeC,EAAmB,CACxE,OAAO,IAAK,KAAK,YACf,KAAK,kBACL,CAAE,MAAAD,EAAO,OAAAC,CAAO,CAClB,CACF,CAEO,QAAiCG,EAAWC,EAAc,CAC/D,OAAO,IAAK,KAAK,YACf,KAAK,kBACL,KAAK,SACL,IAAIN,GAAMK,EAAGC,CAAC,CAChB,CACF,CAEO,aAAsCF,EAAc,CACzD,OAAO,KAAK,QAAQA,EAAG,EAAGA,EAAG,CAAC,CAChC,CAaO,MACLG,EACAC,EAAkE,CAAE,EAC/D,CACL,GAAID,EAAW,CACb,IAAME,EAAMF,aAAqBG,GAC7BH,EAAU,IAAI,MAAM,EACpB,IAAII,GAAIJ,CAAS,EAErB,OAAO,KAAK,QAAQE,EAAI,EAAGA,EAAI,CAAC,EAAE,MAAM,KAAMD,CAAO,CACvD,CAEA,GAAM,CAAE,iBAAAI,EAAkB,cAAAC,CAAc,EAAI,CAAE,iBAAkB,GAAO,cAAe,GAAK,GAAGL,CAAQ,EAEtG,OAAII,EACK,KAAK,UAAU,EAGjB,KAAK,aAAaC,CAAa,CACxC,CAEQ,WAAiB,CACvB,IAAMC,EAAU,KAAK,yBAAyB,EAExC,CAACC,EAAeC,EAAgBC,CAAW,EAAIH,EAC/CI,EAAed,GAAca,EAAY,IAAIb,CAAE,EAAE,UAAU,EAC3De,GAAkBD,EAAYH,CAAa,EAAIG,EAAYF,CAAc,GAAK,EAE9EI,EAAO,KAAK,MAAMD,EAAiBxB,GAAQ,EAE3C0B,EAAWC,GAAeR,CAAO,EAEjCT,EAAI,KAAK,MAAM,KAAK,IAAI,EAAGgB,EAAS,EAAK5B,IAAO2B,CAAK,CAAC,EACtDd,EAAI,KAAK,MAAM,KAAK,IAAI,EAAGe,EAAS,EAAK3B,IAAO0B,CAAK,CAAC,EAE5D,OAAO,IAAIG,GAAKlB,EAAGC,EAAG,KAAK,IAAIc,EAAM,KAAK,WAAaf,CAAC,EAAG,KAAK,IAAIe,EAAM,KAAK,YAAcd,CAAC,CAAC,CACjG,CAEQ,aAAakB,EAAsB,CACzC,IAAMf,EAAMgB,GAAQ,KAAK,SAAS,EAClC,OAAOhB,EAAI,IAAIA,EAAI,MAAQe,EAASf,EAAI,OAASe,CAAO,CAC1D,CAEU,0BAAoC,CAC5C,MAAM,IAAI,MAAM,wDAAwD,CAC1E,CACF,EC7HO,IAAME,GAAN,cAA6BC,EAAc,CAC7B,0BAAoC,CACrD,IAAMC,EAAM,KAAK,UACjB,MAAO,CACLA,EAAI,GACJA,EAAI,GACJC,GAAe,CAACD,EAAI,GAAIA,EAAI,EAAE,CAAC,CACjC,CACF,CACF,ECTO,IAAME,GAAN,cAA8BC,EAAc,CAC1C,eAAyB,CAC9B,OAAO,KAAK,UAAU,MAAM,EAAG,EAAE,CACnC,CAEO,gBAA0B,CAC/B,OAAO,KAAK,UAAU,MAAM,GAAI,EAAE,CACpC,CAEO,iBAA2B,CAChC,OAAO,KAAK,UAAU,MAAM,GAAI,EAAE,CACpC,CAEO,SAAmB,CACxB,OAAO,KAAK,UAAU,MAAM,GAAI,EAAE,CACpC,CAEO,YAAsB,CAC3B,OAAO,KAAK,UAAU,MAAM,GAAI,EAAE,CACpC,CAEO,aAAuB,CAC5B,OAAO,KAAK,UAAU,MAAM,GAAI,EAAE,CACpC,CAEO,UAAoB,CACzB,OAAO,KAAK,UAAU,MAAM,GAAI,EAAE,CACpC,CAEmB,0BAAoC,CACrD,MAAO,CACL,KAAK,WAAW,EAChB,KAAK,YAAY,EACjB,KAAK,SAAS,CAChB,EAAE,IAAIC,EAAc,CACtB,CACF,ECjCO,IAAMC,GAAN,KAAsC,CAI3C,YAAYC,EAAeC,EAAkB,CAC3C,KAAK,OAASD,EACd,KAAK,UAAYC,CACnB,CAEA,IAAW,OAAgB,CAAE,OAAO,KAAK,MAAQ,CAEjD,IAAW,UAAmB,CAAE,OAAO,KAAK,SAAW,CAEhD,SAASC,EAAe,GAAc,CAC3C,MAAO,GAAG,KAAK,QAAQA,EAAe,KAAKC,GAAM,KAAK,QAAQ,KAAO,IACvE,CACF,EClBO,IAAMC,GAAN,cAAyBC,EAAI,CAUlC,YAAYC,EAAiCC,EAAe,CAC1D,MAAMD,CAAG,EACT,KAAK,OAASC,CAChB,CAZA,OAAc,wBAAwBD,EAAUE,EAAgB,CAE9D,GADAH,GAAI,iBAAiBC,EAAKE,CAAM,EAC5B,CAACC,GAAcH,EAAI,KAAK,EAC1B,MAAM,IAAI,MAAM,GAAGE,gCAAqCF,EAAI,uBAAuB,CAEvF,CASA,IAAW,OAAgB,CAAE,OAAO,KAAK,MAAQ,CACnD,ECrBO,IAAMI,GAAN,KAA6B,CAKlC,YAAYC,EAAeC,EAA6B,CACtD,GAAM,OAAOD,GAAU,SACrB,MAAM,IAAI,MAAM,oEAAoE,EAGtF,GAAI,CAAC,MAAM,QAAQC,CAAW,GAAKA,EAAY,KAAMC,GAAS,EAAEA,aAAgB,aAAa,EAC3F,MAAM,IAAI,MAAM,0FAA0F,EAG5G,KAAK,OAASF,EACd,KAAK,aAAeC,CACtB,CAEA,IAAW,OAAgB,CAAE,OAAO,KAAK,MAAQ,CAEjD,IAAW,aAA8B,CAAE,OAAO,KAAK,YAAc,CAE9D,QAAc,CACnB,MAAO,CACL,MAAO,KAAK,MACZ,YAAa,KAAK,YAAY,IAAKE,GAAM,MAAM,KAAKA,CAAC,CAAC,CACxD,CACF,CAEA,OAAc,SAASC,EAAmC,CACxD,IAAMH,EAAcG,EAAK,YAAY,IAAKD,GAAW,IAAI,aAAaA,CAAC,CAAC,EACxE,OAAO,IAAIJ,GAAuBK,EAAK,MAAOH,CAAW,CAC3D,CACF,EC5BO,IAAMI,GAAN,cAA2BC,EAAW,CAgB3C,YAAYC,EAAiCC,EAAeC,EAAeC,EAAoB,CAC7F,MAAMH,EAAKC,CAAK,EAChB,KAAK,OAASC,EACd,KAAK,YAAcC,CACrB,CAnBA,OAAc,0BAA0BH,EAAUI,EAAgB,CAGhE,GAFAL,GAAW,wBAAwBC,EAAKI,CAAM,EAG5C,CAACC,GAAmBL,EAAI,KAAK,GAC1B,CAACK,GAAmBL,EAAI,UAAU,EAErC,MAAM,IAAI,MAAM,GAAGI,kCAAuCJ,EAAI,eAAeA,EAAI,2CAA2C,CAEhI,CAYA,IAAW,OAAgB,CAAE,OAAO,KAAK,MAAQ,CAEjD,IAAW,YAAqB,CAAE,OAAO,KAAK,WAAa,CAC7D,ECxBO,SAASM,GAAoBC,EAAwC,CAC1E,OAAOA,EAAI,qBAAqBC,EAClC,CAEO,SAASC,GAAiCC,EAAoBC,EAAsD,CAEzH,MAAO,CAAE,GAAGD,EAAW,GADL,CAAE,UAAAC,CAAU,CACM,CACtC,CCXO,SAASC,IAAgC,CAC9C,IAAMC,EAAQ,OAAO,MACrB,GAAI,CAACA,EAAO,MAAM,IAAI,MAAM,8DAA8D,EAM1F,MAAO,CACL,OAAQ,kBACR,yBACA,MAAO,iBACP,UACA,MAAO,iBACP,oBAAqB,IAAM,SAAS,cAAc,QAAQ,EAC1D,mBAAoB,IAAM,SAAS,cAAc,KAAK,EACtD,mBAAoB,IAAM,SAAS,cAAc,OAAO,EACxD,MAAAA,EACA,SAde,IAAM,CACrB,MAAM,IAAI,MAAM,6DAA6D,CAC/E,CAaA,CACF,CCtBO,SAASC,IAAoB,CAClC,OAAO,OAAO,QAAW,UACpB,OAAO,SAAY,aACnB,QAAQ,UAAY,MACpB,QAAQ,SAAS,MAAQ,IAChC,CCFO,SAASC,GAAiBC,EAAsB,CACrD,IAAIC,EAAiB,GACrB,GAAI,CAACD,GAAME,GAAS,EAClB,GAAI,CAEFF,EAAK,GAAQ,KACf,OAASG,EAAP,CACAF,EAAkBE,EAAY,SAAS,CACzC,CAMF,MAAO,CAAE,SAHQH,EACZI,GAAqB,IAAI,QAAQ,CAACC,EAASC,IAAW,CAAEN,EAAG,SAASI,EAAU,CAACD,EAAUI,IAAYJ,EAAMG,EAAOH,CAAG,EAAIE,EAAQE,CAAM,CAAE,CAAG,CAAC,EAC9I,IAAM,CAAE,MAAM,IAAI,MAAM,qEAAqEN,GAAgB,CAAG,CAClG,CACpB,CCdO,SAASO,IAA+B,CAE7C,IAAMC,EAAS,OAAO,QAAa,OAAO,kBACpCC,EAAQ,OAAO,OAAS,OAAO,iBAE/BC,EAAQ,OAAO,OAAY,OAAO,iBAElCC,EAAsB,IAAM,CAChC,GAAIH,EAAQ,OAAO,IAAIA,EACvB,MAAM,IAAI,MAAM,4EAA4E,CAC9F,EAEMI,EAAqB,IAAM,CAC/B,GAAIH,EAAO,OAAO,IAAIA,EACtB,MAAM,IAAI,MAAM,0EAA0E,CAC5F,EAEMI,EAAqB,IAAM,CAC/B,GAAIH,EAAO,OAAO,IAAIA,EACtB,MAAM,IAAI,MAAM,0EAA0E,CAC5F,EAEMI,EAAQ,OAAO,MAGfC,EAAaC,GAAiB,EAEpC,MAAO,CACL,OAAQR,GAAU,KAAM,CAAC,EACzB,yBAA0B,OAAO,0BAA4B,KAAM,CAAC,EACpE,MAAOC,GAAS,KAAM,CAAC,EACvB,UAAW,OAAO,WAAa,KAAM,CAAC,EACtC,MAAO,OAAO,kBAAoB,KAAM,CAAC,EACzC,oBAAAE,EACA,mBAAAC,EACA,mBAAAC,EACA,MAAAC,EACA,GAAGC,CACL,CACF,CC3CO,SAASE,IAAqB,CACnC,OAAO,OAAO,QAAW,UACpB,OAAO,UAAa,aACpB,OAAO,kBAAqB,aAC5B,OAAO,mBAAsB,aAC7B,OAAO,kBAAqB,aAC5B,OAAO,WAAc,aACrB,OAAO,0BAA6B,WAC3C,CCDA,IAAIC,GAEJ,SAASC,KAAsB,CAC7B,GAAI,CAACD,GACH,MAAM,IAAI,MAAM,uEAAuE,EAEzF,OAAOA,EACT,CAEA,SAASE,GAAOC,EAAkB,CAChCH,GAAcG,CAChB,CAEA,SAASC,IAAa,CAGpB,OAAIC,GAAU,EAAUH,GAAOI,GAAiB,CAAC,EAC7CC,GAAS,EAAUL,GAAOM,GAAgB,CAAC,EACxC,IACT,CAEA,SAASC,IAAYN,EAA2B,CAK9C,GAJKH,IACHI,GAAW,EAGT,CAACJ,GACH,MAAM,IAAI,MAAM,4EAA4E,EAG9F,GAAM,CAAE,OAAAU,EAASV,GAAY,OAAQ,MAAAW,EAAQX,GAAY,KAAM,EAAIG,EACnEH,GAAY,OAASU,EACrBV,GAAY,MAAQW,EACpBX,GAAY,oBAAsBG,EAAI,sBAAwB,IAAM,IAAIO,GACxEV,GAAY,mBAAqBG,EAAI,qBAAuB,IAAM,IAAIQ,GAEtEX,GAAY,UAAYG,EAAI,WAAaH,GAAY,UACrDA,GAAY,MAAQG,EAAI,OAASH,GAAY,MAC7CA,GAAY,MAAQG,EAAI,OAASH,GAAY,MAC7CA,GAAY,SAAWG,EAAI,UAAYH,GAAY,QACrD,CAEO,IAAMG,GAAM,CACjB,OAAAF,IACA,OAAAC,GACA,WAAAE,GACA,iBAAAE,GACA,iBAAAM,GACA,gBAAAJ,GACA,YAAAC,IACA,UAAAJ,GACA,SAAAE,EACF,EAEAH,GAAW,EC3DJ,SAASS,GAAaC,EAAmB,CAC9C,MAAI,CAACC,GAAI,SAAS,GAAK,OAAOD,GAAQ,SAC7B,SAAS,eAAeA,CAAG,EAE7BA,CACT,CCJO,SAASE,GAAoBC,EAA4F,CAC9H,GAAM,CAAE,OAAAC,EAAQ,yBAAAC,CAAyB,EAAIC,GAAI,OAAO,EAExD,GAAIH,aAAqBE,EACvB,OAAOF,EAGT,IAAMI,EAASC,GAAaL,CAAS,EAErC,GAAI,EAAEI,aAAkBH,GACtB,MAAM,IAAI,MAAM,gEAAgE,EAGlF,IAAMK,EAAMF,EAAO,WAAW,IAAI,EAClC,GAAI,CAACE,EACH,MAAM,IAAI,MAAM,8CAA8C,EAGhE,OAAOA,CACT,CChBO,IAAKC,QAEVA,EAAA,SAAW,WAEXA,EAAA,UAAY,YAEZA,EAAA,YAAc,cAEdA,EAAA,aAAe,eARLA,QAAA,IAoBCC,GAAN,KAA4D,CAajE,YAAYC,EAAiC,CAAC,EAAG,CAC/C,GAAM,CACJ,eAAAC,EAAgB,gBAAAC,EAAiB,UAAAC,EAAW,SAAAC,EAAU,UAAAC,EAAW,QAAAC,CACnE,EAAIN,EACJ,KAAK,eAAiBC,GAAkB,WACxC,KAAK,gBAAkBC,GAAmB,qBAC1C,KAAK,UAAYC,GAAa,yBAC9B,KAAK,SAAWC,GAAY,GAC5B,KAAK,UAAYC,GAAa,UAC9B,KAAK,QAAUC,GAAW,CAC5B,CACF,EAEaC,GAAN,KAAoB,CAOzB,YACEC,EACAC,EACAT,EAAiC,CAAC,EAClC,CAEA,KAAK,KAAO,OAAOQ,GAAS,SACxB,CAACA,CAAI,EACJA,aAAgBD,GAAgBC,EAAK,KAAOA,EACjD,KAAK,OAASC,EACd,KAAK,QAAU,IAAIV,GAAqBC,CAAO,CACjD,CAEA,aAAaU,EAAuC,CAClD,GAAM,CAAE,QAAAJ,CAAQ,EAAI,KAAK,QACzB,OAAO,KAAK,KAAK,IAAKK,GAAMD,EAAI,YAAYC,CAAC,EAAE,KAAK,EAAE,OAAO,CAACC,EAAIC,IAAQD,EAAKC,EAAKA,EAAKD,EAAK,CAAC,EAAK,EAAIN,CAC1G,CAEA,eAAwB,CACtB,GAAM,CAAE,SAAAF,EAAU,QAAAE,CAAQ,EAAI,KAAK,QACnC,OAAO,KAAK,KAAK,OAASF,EAAY,EAAIE,CAC5C,CAEA,aAAaI,EAA+BI,EAAkC,CAC5E,GAAM,CAAE,eAAAb,CAAe,EAAI,KAAK,QAC1Bc,EAAcd,IAAmB,gBAA+BA,IAAmB,YACnFe,EAAaf,IAAmB,eAA8BA,IAAmB,eAEjFgB,EAAiB,KAAK,aAAaP,CAAG,EACtCQ,EAAkB,KAAK,cAAc,EACrCC,EAAKJ,EAAc,KAAK,OAAO,EAAIE,EAAiB,KAAK,OAAO,EAChEG,EAAIJ,EAAa,KAAK,OAAO,EAAIE,EAAkB,KAAK,OAAO,EAGrE,GAAIJ,EAAY,CACd,GAAM,CAAE,MAAAO,EAAO,OAAAC,CAAO,EAAIR,EACpBS,EAAO,KAAK,IAAI,KAAK,IAAIJ,EAAGE,EAAQJ,CAAc,EAAG,CAAC,EACtDO,EAAO,KAAK,IAAI,KAAK,IAAIJ,EAAGE,EAASJ,CAAe,EAAG,CAAC,EAC9D,MAAO,CAAE,EAAGK,EAAM,EAAGC,CAAK,CAC5B,CACA,MAAO,CAAE,EAAAL,EAAG,EAAAC,CAAE,CAChB,CAEA,KAAKK,EAAkE,CACrE,IAAMC,EAASC,GAAaF,CAAS,EAC/Bf,EAAMkB,GAAoBF,CAAM,EAEhC,CACJ,gBAAAxB,EAAiB,UAAAC,EAAW,SAAAC,EAAU,UAAAC,EAAW,QAAAC,CACnD,EAAI,KAAK,QAETI,EAAI,KAAO,GAAGN,OAAcC,IAC5B,IAAMwB,EAAe,KAAK,aAAanB,CAAG,EACpCoB,EAAa,KAAK,cAAc,EAEtCpB,EAAI,UAAYR,EAChB,IAAM6B,EAAY,KAAK,aAAarB,EAAKgB,CAAM,EAC/ChB,EAAI,SAASqB,EAAU,EAAGA,EAAU,EAAGF,EAAcC,CAAU,EAE/DpB,EAAI,UAAYP,EAChB,KAAK,KAAK,QAAQ,CAAC6B,EAAUC,IAAM,CACjC,IAAMd,EAAIb,EAAUyB,EAAU,EACxBX,EAAId,EAAUyB,EAAU,GAAME,EAAI,GAAK7B,EAC7CM,EAAI,SAASsB,EAAUb,EAAGC,CAAC,CAC7B,CAAC,CACH,CACF,ECjHO,IAAMc,GAAN,KAAqB,CAS1B,YAAYC,EAA2B,CAAC,EAAG,CACzC,GAAM,CACJ,SAAAC,EAAU,UAAAC,EAAW,MAAAC,EAAO,iBAAAC,CAC9B,EAAIJ,EACJ,KAAK,SAAWC,GAAY,qBAC5B,KAAK,UAAYC,GAAa,EAC9B,KAAK,MAAQC,EAEb,IAAME,EAA0B,CAC9B,6BACA,gBAAiB,KAAK,QACxB,EACA,KAAK,iBAAmB,IAAIC,GAAqB,CAAE,GAAGD,EAAyB,GAAGD,CAAiB,CAAC,CACtG,CACF,EAEaG,GAAN,KAAc,CAKnB,YACEC,EACAR,EAA2B,CAAC,EAC5B,CACA,KAAK,IAAM,IAAIS,GAAID,CAAG,EACtB,KAAK,QAAU,IAAIT,GAAeC,CAAO,CAC3C,CAEA,KAAKU,EAAkE,CACrE,IAAMC,EAAMC,GAAoBF,CAAS,EAEnC,CAAE,SAAAT,EAAU,UAAAC,CAAU,EAAI,KAAK,QAE/B,CACJ,EAAAW,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CACf,EAAI,KAAK,IACTL,EAAI,YAAcV,EAClBU,EAAI,UAAYT,EAChBS,EAAI,WAAWE,EAAGC,EAAGC,EAAOC,CAAM,EAElC,GAAM,CAAE,MAAAb,CAAM,EAAI,KAAK,QACnBA,GACF,IAAIc,GAAc,CAACd,CAAK,EAAG,CAAE,EAAGU,EAAKX,EAAY,EAAI,EAAAY,CAAE,EAAG,KAAK,QAAQ,gBAAgB,EAAE,KAAKJ,CAAS,CAE3G,CACF,EC3DO,SAASQ,IACdC,EACAC,EACA,EACwB,MAAM,QAAQA,CAAU,EAAIA,EAAa,CAACA,CAAU,GAE5D,QAASC,GAAQ,CAE/B,IAAMC,EAAQD,aAAeE,GACzBF,EAAI,MACHG,GAAoBH,CAAG,EAAIA,EAAI,UAAU,MAAQ,OAGhDI,EAAMJ,aAAeE,GACvBF,EAAI,IACHG,GAAoBH,CAAG,EAAIA,EAAI,UAAU,IAAM,IAAIK,GAAIL,CAAG,EAEzDM,EAAQL,EAAQ,GAAGM,GAAMN,CAAK,IAAM,OAC1C,IAAIO,GAAQJ,EAAK,CAAE,MAAAE,CAAM,CAAC,EAAE,KAAKR,CAAS,CAC5C,CAAC,CACH,CC1BO,SAASW,GAAcC,EAAsD,CAClF,GAAM,CAAE,MAAAC,EAAO,MAAAC,CAAM,EAAIC,GAAI,OAAO,EAEpC,OAAQH,aAAiBC,GAASD,EAAM,UAClCA,aAAiBE,GAASF,EAAM,YAAc,CACtD,CCJO,SAASI,GAAiBC,EAAgE,CAE/F,OAAO,IAAI,QAAQ,CAACC,EAASC,IAAW,EAClCF,aAAiBG,GAAI,OAAO,EAAE,QAAUC,GAAcJ,CAAK,IAAGC,EAAQ,IAAI,EAE9E,SAASI,EAAQC,EAAU,CACrB,CAACA,EAAE,gBAEPA,EAAE,cAAc,oBAAoB,OAAQC,CAAM,EAClDD,EAAE,cAAc,oBAAoB,QAASD,CAAO,EACpDH,EAAOI,CAAC,EACV,CAEA,SAASC,EAAOD,EAAU,CACpB,CAACA,EAAE,gBACPA,EAAE,cAAc,oBAAoB,OAAQC,CAAM,EAClDD,EAAE,cAAc,oBAAoB,QAASD,CAAO,EACpDJ,EAAQK,CAAC,EACX,CAEAN,EAAM,iBAAiB,OAAQO,CAAM,EACrCP,EAAM,iBAAiB,QAASK,CAAO,CACzC,CAAC,CACH,CCxBO,SAASG,GAAcC,EAAsC,CAClE,OAAO,IAAI,QAAQ,CAACC,EAASC,IAAW,CAChCF,aAAe,MAAOE,EAAO,IAAI,MAAM,kDAAkD,CAAC,EAChG,IAAMC,EAAS,IAAI,WACnBA,EAAO,OAAS,IAAM,CAChB,OAAOA,EAAO,QAAW,UAAUD,EAAO,IAAI,MAAM,kEAAkE,CAAC,EAC3H,IAAME,EAAMC,GAAI,OAAO,EAAE,mBAAmB,EAC5CD,EAAI,OAAS,IAAMH,EAAQG,CAAG,EAC9BA,EAAI,QAAUF,EACdE,EAAI,IAAMD,EAAO,MACnB,EACAA,EAAO,QAAUD,EACjBC,EAAO,cAAcH,CAAG,CAC1B,CAAC,CACH,CCbO,SAASM,GAAmBC,EAA0F,CAC3H,GAAM,CAAE,MAAAC,EAAO,MAAAC,CAAM,EAAIC,GAAI,OAAO,EAEpC,OAAIH,aAAiBC,EACZ,IAAIG,GAAWJ,EAAM,aAAcA,EAAM,aAAa,EAE3DA,aAAiBE,EACZ,IAAIE,GAAWJ,EAAM,WAAYA,EAAM,WAAW,EAEpD,IAAII,GAAWJ,EAAM,MAAOA,EAAM,MAAM,CACjD,CCPO,SAASK,GAAa,CAAE,MAAAC,EAAO,OAAAC,CAAO,EAAmC,CAC9E,GAAM,CAAE,oBAAAC,CAAoB,EAAIC,GAAI,OAAO,EACrCC,EAASF,EAAoB,EACnC,OAAAE,EAAO,MAAQJ,EACfI,EAAO,OAASH,EACTG,CACT,CAEO,SAASC,GAAsBC,EAAwDC,EAAuC,CACnI,GAAM,CAAE,UAAAC,CAAU,EAAIL,GAAI,OAAO,EAEjC,GAAI,EAAEG,aAAiBE,IAAc,CAACC,GAAcH,CAAK,EACvD,MAAM,IAAI,MAAM,4DAA4D,EAG9E,GAAM,CAAE,MAAAN,EAAO,OAAAC,CAAO,EAAIM,GAAQG,GAAmBJ,CAAK,EACpDF,EAASL,GAAa,CAAE,MAAAC,EAAO,OAAAC,CAAO,CAAC,EAE7C,OAAIK,aAAiBE,EACnBG,GAAoBP,CAAM,EAAE,aAAaE,EAAO,EAAG,CAAC,EAEpDK,GAAoBP,CAAM,EAAE,UAAUE,EAAO,EAAG,EAAGN,EAAOC,CAAM,EAE3DG,CACT,CCzBA,eAAsBQ,GACpBC,EACAC,EAC4B,CAC5B,IAAMC,EAAeD,GAAUE,GAAI,OAAO,EAAE,oBAAoB,EAE1D,CAACC,EAAQC,EAAOC,CAAW,EAAIN,EAAU,MAAM,MAAMO,GAAWP,CAAS,EAAI,EAAI,CAAC,EAClFQ,EAAiBC,EAAK,IAAMT,EAAU,KAAKI,EAAQC,EAAOC,CAAW,EAAE,MAAM,CAAC,EACpF,aAASI,GAAW,SAASF,EAAaN,CAAY,EAEtDM,EAAY,QAAQ,EAEbN,CACT,CChBO,SAASS,GAAeC,EAAY,CACzC,GAAM,CAAE,MAAAC,EAAO,OAAAC,EAAQ,MAAAC,CAAM,EAAIC,GAAI,OAAO,EAE5C,OAAOJ,aAAiBC,GACnBD,aAAiBE,GACjBF,aAAiBG,CACxB,CCHO,SAASE,GAAcC,EAA6CC,EAAmBC,EAAc,GAAO,CACjH,GAAM,CAAE,MAAAC,EAAO,OAAAC,CAAO,EAAIC,GAAI,OAAO,EAErC,GAAI,EAAEL,aAAiBG,GAASH,aAAiBI,GAC/C,MAAM,IAAI,MAAM,0EAA0E,EAG5F,GAAIH,GAAa,EAAG,OAAOK,GAAa,CAAE,MAAO,EAAG,OAAQ,CAAE,CAAC,EAC/D,IAAMC,EAAOC,GAAmBR,CAAK,EAC/BS,EAAQR,EAAY,KAAK,IAAIM,EAAK,OAAQA,EAAK,KAAK,EACpDG,EAAQD,EAAQF,EAAK,MACrBI,EAASF,EAAQF,EAAK,OAEtBK,EAAeN,GAAa,CAAE,MAAOL,EAAW,OAAQA,CAAU,CAAC,EACnEY,EAAcb,aAAiBI,EAASJ,EAAQc,GAAsBd,CAAK,EAE3Ee,EAAS,KAAK,IAAIL,EAAQC,CAAM,EAAI,EACpCK,EAAKd,GAAeQ,EAAQC,EAASI,EAAS,EAC9CE,EAAKf,GAAeS,EAASD,EAAQK,EAAS,EACpD,OAAIF,EAAY,MAAQ,GAAKA,EAAY,OAAS,GAAGK,GAAoBN,CAAY,EAAE,UAAUC,EAAaG,EAAIC,EAAIP,EAAOC,CAAM,EAE5HC,CACT,CCjBO,IAAMO,GAAN,KAAe,CAapB,YAAYC,EAAkCC,EAAoB,GAAO,CAZzE,KAAQ,cAAkD,CAAC,EAE3D,KAAQ,UAAiC,CAAC,EAI1C,KAAQ,mBAAqB,GAE7B,KAAQ,iBAA+B,CAAC,EAExC,KAAQ,WAAa,EAGnB,GAAI,CAAC,MAAM,QAAQD,CAAM,EACvB,MAAM,IAAI,MAAM,4HAA4HA,GAAQ,EAGtJ,KAAK,mBAAqBC,EAC1B,KAAK,WAAaD,EAAO,OAEzBA,EAAO,QAAQ,CAACE,EAAOC,IAAQ,CAC7B,GAAIC,GAAWF,CAAK,EAAG,CACrB,KAAK,cAAcC,GAAOD,EAC1B,KAAK,iBAAiBC,GAAOD,EAAM,MACnC,MACF,CAEA,GAAIG,GAAWH,CAAK,EAAG,CACrB,IAAMI,EAAaJ,EAAc,MAAM,GACvC,GAAII,IAAc,EAChB,MAAM,IAAI,MAAM,yCAAyCA,4CAAoD,EAG/G,KAAK,cAAcH,GAAOD,EAC1B,KAAK,iBAAiBC,GAAQD,EAAc,MAAM,MAAM,CAAC,EACzD,MACF,CAGA,IAAMK,EAAUL,aAAyBM,GAAI,OAAO,EAAE,OAASN,EAAQO,GAAsBP,CAAK,EAClG,KAAK,UAAUC,GAAOI,EACtB,KAAK,iBAAiBJ,GAAO,CAACI,EAAO,OAAQA,EAAO,MAAO,CAAC,CAC9D,CAAC,CACH,CAEA,IAAW,cAAiD,CAC1D,OAAO,KAAK,aACd,CAEA,IAAW,UAAgC,CACzC,OAAO,KAAK,SACd,CAEA,IAAW,cAAwB,CACjC,OAAO,KAAK,UAAY,GAAK,KAAK,kBACpC,CAEA,IAAW,WAAoB,CAC7B,OAAO,KAAK,UACd,CAEA,IAAW,iBAA8B,CACvC,OAAO,KAAK,gBACd,CAEA,IAAW,WAAgC,CACzC,OAAO,KAAK,UACd,CAEA,IAAW,yBAAwC,CACjD,OAAOG,GAAM,KAAK,UAAW,EAAG,CAAC,EAAE,IACjC,CAACC,EAAGC,IAAa,KAAK,2BAA2BA,CAAQ,CAC3D,CACF,CAEO,SAASA,EAAiE,CAC/E,OAAO,KAAK,SAASA,IAAa,KAAK,aAAaA,EACtD,CAEO,mBAAmBA,EAA4B,CACpD,OAAO,KAAK,iBAAiBA,EAC/B,CAEO,eAAeA,EAA0B,CAC9C,OAAO,KAAK,iBAAiBA,GAAU,EACzC,CAEO,cAAcA,EAA0B,CAC7C,OAAO,KAAK,iBAAiBA,GAAU,EACzC,CAEO,2BAA2BA,EAA8B,CAC9D,GAAI,OAAO,KAAK,WAAc,SAC5B,MAAM,IAAI,MAAM,uFAAuF,EAGzG,IAAMC,EAAQ,KAAK,cAAcD,CAAQ,EACnCE,EAAS,KAAK,eAAeF,CAAQ,EAC3C,OAAOG,GAA0B,CAAE,MAAAF,EAAO,OAAAC,CAAO,EAAG,KAAK,SAAS,CACpE,CAWO,cAAcE,EAAmBC,EAAiB,GAAmB,CAC1E,YAAK,WAAaD,EAERE,EAAK,IAAM,CACnB,IAAMC,EAAeT,GAAM,KAAK,UAAW,EAAG,CAAC,EAAE,IAAKE,GAAa,CACjE,IAAMV,EAAQ,KAAK,SAASU,CAAQ,EAEpC,GAAIV,aAAoBkB,GAAQ,CAC9B,IAAIC,EAAYhB,GAAWH,CAAK,EAAIA,EAAWoB,GAAWpB,CAAK,EAC/D,OAAAmB,EAAYE,GAAYF,EAA0BJ,CAAc,GAE5DI,EAAU,MAAM,KAAOL,GAAaK,EAAU,MAAM,KAAOL,KAC7DK,EAAeG,GAAS,eAAeH,EAA0B,CAACL,EAAWA,CAAS,EAAG,GAAO,EAAK,GAGhGK,EAAU,KAAKL,EAAWA,EAAW,CAAC,CAC/C,CAEA,GAAId,aAAiBM,GAAI,OAAO,EAAE,OAChC,OAAUiB,GAAW,WAAWC,GAAcxB,EAAOc,EAAWC,CAAc,CAAC,EAGjF,MAAM,IAAI,MAAM,+BAA+BL,8FAAqGV,GAAO,CAC7J,CAAC,EAKD,OAHuByB,GAAMR,EAAa,IAAKS,GAASC,GAAKD,EAAG,SAAS,CAAC,CAAC,EAAE,KAAK,KAAK,UAAWZ,EAAWA,EAAW,CAAC,CAI3H,CAAC,CACH,CACF,EC1IA,eAAsBc,GAAWC,EAAsC,CACrE,GAAIA,aAAkBC,GAAU,OAAOD,EACvC,IAAME,EAAgB,MAAM,QAAQF,CAAM,EAAIA,EAAS,CAACA,CAAM,EAC9D,GAAI,CAACE,EAAc,OAAQ,MAAM,IAAI,MAAM,0CAA0C,EACrF,IAAMC,EAAcC,GAAiB,MAAM,QAAQJ,CAAM,EAAI,mBAAmBI,KAAS,GACnFC,EAAaH,EAAc,IAAII,EAAY,EACjD,OAAAD,EAAW,QAAQ,CAACE,EAAOC,IAAM,CAC/B,GAAI,CAACC,GAAeF,CAAK,GAAK,CAACG,GAAWH,CAAK,GAAK,CAACI,GAAWJ,CAAK,EACnE,MAAI,OAAOL,EAAcM,IAAO,SAAgB,IAAI,MAAM,eAAeL,EAAWK,CAAC,qEAAqEN,EAAcM,IAAI,EACtK,IAAI,MAAM,eAAeL,EAAWK,CAAC,8HAA8H,EAE3K,GAAIG,GAAWJ,CAAK,EAAG,CAErB,IAAMK,EAAYL,EAAM,MAAM,GAC9B,GAAIK,IAAc,EAAG,MAAM,IAAI,MAAM,eAAeT,EAAWK,CAAC,gCAAgCI,4CAAoD,CACtJ,CACF,CAAC,EAED,MAAM,QAAQ,IAAIP,EAAW,IAAKE,GAAUE,GAAeF,CAAK,GAAKM,GAAiBN,CAAK,CAAC,CAAC,EACtF,IAAIN,GAASI,EAAY,MAAM,QAAQL,CAAM,CAAC,CACvD,CClBA,eAAsBc,GAAaC,EAAkBC,EAAuE,CAC1H,GAAM,CAAE,OAAAC,CAAO,EAAIC,GAAI,OAAO,EAC1BC,EAASJ,EACb,GAAI,EAAEA,aAAiBE,GAAS,CAC9B,IAAMG,EAAW,MAAMC,GAAWN,CAAK,EACvC,GAAIK,EAAS,UAAY,EAAG,MAAM,IAAI,MAAM,4CAA4C,EACxF,IAAME,EAAiBF,EAAS,SAAS,CAAC,EAC1CD,EAASG,aAA0BL,EAASK,EAAiB,MAAMC,GAAoBD,CAAc,CACvG,CACA,IAAME,EAAMC,GAAoBN,CAAM,EAItC,OAHcH,EACX,IAAKU,GAASA,aAAeC,GAAgBD,EAAI,QAAQP,EAAO,MAAOA,EAAO,MAAM,EAAE,IAAI,MAAM,EAAIO,CAAI,EACxG,IAAKE,GAAQA,EAAI,mBAAmBT,EAAO,MAAOA,EAAO,MAAM,CAAC,EACtD,IAAI,CAAC,CAAE,EAAAU,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CAAO,IAAM,CAC5C,IAAMC,EAAUC,GAAa,CAAE,MAAAH,EAAO,OAAAC,CAAO,CAAC,EAC9C,OAAID,EAAQ,GAAKC,EAAS,GAAGP,GAAoBQ,CAAO,EAAE,aAAaT,EAAI,aAAaK,EAAGC,EAAGC,EAAOC,CAAM,EAAG,EAAG,CAAC,EAC3GC,CACT,CAAC,CACH,CClBA,eAAsBE,GAAmBC,EAAwCC,EAAiE,CAChJ,GAAI,CAACC,GAAWF,CAAW,GAAK,CAACG,GAAWH,CAAW,EACrD,MAAM,IAAI,MAAM,2DAA2D,EAG7E,GAAIG,GAAWH,CAAW,GAAKA,EAAY,MAAM,GAAK,EACpD,MAAM,IAAI,MAAM,kDAAkD,EAGpE,OAAUI,EAAK,IAAM,CACnB,GAAM,CAACC,EAAWC,EAAUC,CAAW,EAAIP,EAAY,MAAM,MAAMG,GAAWH,CAAW,EAAI,EAAI,CAAC,EAMlG,OALcC,EAAW,IAAKO,GAASA,aAAeC,GAAgBD,EAAI,QAAQF,EAAUD,CAAS,EAAE,IAAMG,CAAI,EAC9G,IAAKE,GAAQA,EAAI,mBAAmBJ,EAAUD,CAAS,CAAC,EAExD,OAAQK,GAAQA,EAAI,MAAQ,GAAKA,EAAI,OAAS,CAAC,EAC/C,IAAI,CAAC,CAAE,EAAAC,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CAAO,IAASC,GAAQf,EAAY,KAAKK,EAAWC,EAAUC,CAAW,EAAG,CAACK,EAAGD,EAAG,CAAC,EAAG,CAACG,EAAQD,EAAON,CAAW,CAAC,CAAC,CAE7I,CAAC,CACH,CChCA,eAAsBS,GACpBC,EAEAC,EACmB,CACnB,GAAM,CAAE,MAAAC,CAAM,EAAIC,GAAI,OAAO,EACvBC,EAAM,MAAMF,EAAMF,EAAKC,CAAI,EACjC,GAAI,EAAEG,EAAI,OAAS,KACjB,MAAM,IAAI,MAAM,qBAAqBA,EAAI,WAAWA,EAAI,yBAAyBA,EAAI,KAAK,EAE5F,OAAOA,CACT,CCVA,eAAsBC,IAAWC,EAAwC,CACvE,IAAMC,EAAM,MAAMC,GAAaF,CAAG,EAC5BG,EAAO,MAAOF,EAAK,KAAK,EAE9B,GAAI,CAACE,EAAK,KAAK,WAAW,QAAQ,EAChC,MAAM,IAAI,MAAM,wEAAwEA,EAAK,kBAAkBF,EAAI,KAAK,EAE1H,OAAOG,GAAcD,CAAI,CAC3B,CCTA,eAAsBE,GAAaC,EAAyB,CAC1D,OAAQ,MAAMC,GAAaD,CAAG,GAAG,KAAK,CACxC,CCFA,eAAsBE,IAAgBC,EAAoC,CACxE,OAAO,IAAI,aAAa,MAAO,MAAMC,GAAaD,CAAG,GAAG,YAAY,CAAC,CACvE,CCFO,SAASE,GAAcC,EAAsC,CAClE,OAAO,IAAI,QAAQ,CAACC,EAASC,IAAW,CAChCF,aAAe,MAAOE,EAAO,IAAI,MAAM,kDAAkD,CAAC,EAEhG,IAAMC,EAAQC,GAAI,OAAO,EAAE,mBAAmB,EAC9CD,EAAM,UAAY,IAAMF,EAAQE,CAAK,EACrCA,EAAM,QAAUD,EAChBC,EAAM,YAAc,GACpBA,EAAM,MAAQ,GACdA,EAAM,IAAM,IAAI,gBAAgBH,CAAG,EACnCG,EAAM,KAAK,CACb,CAAC,CACH,CCXA,eAAsBE,IAAWC,EAAwC,CACvE,IAAMC,EAAM,MAAMC,GAAaF,CAAG,EAC5BG,EAAO,MAAOF,EAAK,KAAK,EAE9B,GAAI,CAACE,EAAK,KAAK,WAAW,QAAQ,EAChC,MAAM,IAAI,MAAM,wEAAwEA,EAAK,kBAAkBF,EAAI,KAAK,EAE1H,OAAOG,GAAcD,CAAI,CAC3B,CCXO,SAASE,GAAaC,EAAyBC,EAA0B,CAC9E,IAAMC,EAA0B,GAAGD,0BAEnC,GAAI,CAACD,EACH,MAAO,CACL,aAAc,GACd,YAAaE,CACf,EAGF,GAAIF,IAAQ,IACV,MAAO,CACL,aAAc,IACd,YAAa,IAAIE,GACnB,EAGF,IAAMC,EAAWH,EAAI,WAAW,SAAS,EAAI,UAAYA,EAAI,WAAW,UAAU,EAAI,WAAa,GACnGA,EAAMA,EAAI,QAAQG,EAAU,EAAE,EAE9B,IAAMC,EAAQJ,EAAI,MAAM,GAAG,EAAE,OAAQK,GAAMA,CAAC,EAEtCC,EAAeN,EAAI,SAAS,OAAO,EACrCI,EAAMA,EAAM,OAAS,GACrBF,EAEAK,EAAeJ,GAAYH,EAAI,SAAS,OAAO,EAAII,EAAM,MAAM,EAAGA,EAAM,OAAS,CAAC,EAAIA,GAAO,KAAK,GAAG,EACzG,OAAAG,EAAeP,EAAI,WAAW,GAAG,EAAI,IAAIO,IAAiBA,EAEnD,CACL,aAAAA,EACA,YAAaA,IAAiB,IAAM,IAAID,IAAiB,GAAGC,KAAgBD,GAC9E,CACF,CC5BA,eAAsBE,GACpBC,EACAC,EAC4B,CAC5B,GAAM,CAAE,YAAAC,EAAa,aAAAC,CAAa,EAAIC,GAAaJ,EAAKC,CAAgB,EAElEI,EAAW,MAAMC,GAAuCJ,CAAW,EAEzE,OAAUK,GAAM,YAAYF,EAAUF,CAAY,CACpD,CCXO,SAASK,IAAgBC,EAAoBC,EAAwBC,EAAqB,GAAO,CACtG,GAAM,CAAE,MAAAC,EAAO,OAAAC,CAAO,EAAIF,EACtBG,GAAmBJ,CAAS,EAC5BA,EACJ,OAAAD,EAAM,MAAQG,EACdH,EAAM,OAASI,EACR,CAAE,MAAAD,EAAO,OAAAC,CAAO,CACzB,CCHO,IAAeE,GAAf,KAAyC,CAC9C,YAAYC,EAAc,CAI1B,KAAU,QAAkC,OAE5C,KAAU,eAAiC,CAAC,EAL1C,KAAK,MAAQA,CACf,CAQA,IAAW,QAAiC,CAAE,OAAO,KAAK,OAAS,CAEnE,IAAW,eAAgC,CAAE,OAAO,KAAK,cAAgB,CAEzE,IAAW,UAAoB,CAAE,MAAO,CAAC,CAAC,KAAK,MAAQ,CAEhD,iBAAiBC,EAA8B,CACpD,GAAM,CAAE,IAAAC,EAAK,QAAAC,CAAQ,EAAI,KAAK,qBAAqBF,CAAS,EAC5D,OAAOC,EAAIC,EACb,CAEO,sBAAsBF,EAAmBG,EAAmB,CACjE,GAAM,CAAE,IAAAF,EAAK,QAAAC,CAAQ,EAAI,KAAK,qBAAqBF,CAAS,EAC5DC,EAAIC,GAAS,QAAQ,EACrBD,EAAIC,GAAWC,CACjB,CAEO,cAAe,CACpB,OAAO,KAAK,eAAe,IAAI,CAAC,CAAE,UAAAH,CAAU,KAAO,CACjD,KAAMA,EACN,OAAQ,KAAK,iBAAiBA,CAAS,CACzC,EAAE,CACJ,CAEO,oBAAqB,CAC1B,OAAO,KAAK,aAAa,EAAE,OAAQI,GAAUA,EAAM,kBAAqBC,EAAQ,CAClF,CAEO,iBAAkB,CACvB,OAAO,KAAK,aAAa,EAAE,OAAQD,GAAU,EAAEA,EAAM,kBAAqBC,GAAS,CACrF,CAEO,UAAW,CAChB,KAAK,gBAAgB,EAAE,QAAQ,CAAC,CAAE,KAAAC,EAAM,OAAAH,CAAO,IAAM,CACnD,KAAK,sBAAsBG,EAAMH,EAAO,SAAS,CAAC,CACpD,CAAC,CACH,CAEO,QAAS,CACd,KAAK,mBAAmB,EAAE,QAAQ,CAAC,CAAE,KAAAG,EAAM,OAAQC,CAAS,IAAM,CAChE,IAAMJ,EAAYK,GAAOD,EAAS,SAAS,CAAC,EAC5CA,EAAS,QAAQ,EACjB,KAAK,sBAAsBD,EAAMH,CAAM,CACzC,CAAC,CACH,CAEO,QAAQM,EAAmB,GAAM,CACtC,KAAK,aAAa,EAAE,QAASL,GAAU,CACrC,GAAIK,GAAoBL,EAAM,OAAO,WACnC,MAAM,IAAI,MAAM,mDAAmDA,EAAM,MAAM,EAEjFA,EAAM,OAAO,QAAQ,CACvB,CAAC,EACD,KAAK,QAAU,MACjB,CAEO,iBAAgC,CACrC,OAAO,IAAI,aACT,KAAK,aAAa,EACf,IAAI,CAAC,CAAE,OAAAD,CAAO,IAAM,MAAM,KAAKA,EAAO,SAAS,CAAC,CAAa,EAC7D,OAAO,CAACO,EAAMC,IAAQD,EAAK,OAAOC,CAAG,CAAC,CAC3C,CACF,CAEA,MAAa,KAAKC,EAAgE,CAChF,GAAIA,aAAwB,aAAc,CACxC,KAAK,eAAeA,CAAY,EAChC,MACF,CACA,MAAM,KAAK,YAAYA,CAAY,CACrC,CAEA,MAAa,YAAYC,EAAyB,CAChD,GAAIA,GAAO,OAAOA,GAAQ,SACxB,MAAM,IAAI,MAAM,GAAG,KAAK,wCAAwC,EAElE,IAAMC,EAAY,MAAMC,GAAcF,EAAK,KAAK,oBAAoB,CAAC,EACrE,KAAK,kBAAkBC,CAAS,CAClC,CAEA,MAAa,aAAaE,EAA8B,CACtD,GAAIA,GAAY,OAAOA,GAAa,SAClC,MAAM,IAAI,MAAM,GAAG,KAAK,+CAA+C,EAEzE,GAAM,CAAE,SAAAC,CAAS,EAAIC,GAAI,OAAO,EAC1B,CAAE,YAAAC,EAAa,aAAAC,CAAa,EAAIC,GAAaL,EAAU,KAAK,oBAAoB,CAAC,EACjFM,EAAwBC,GAAwB,QAAQ,IAAIA,EAAU,IAAKC,GAAOP,EAASO,CAAE,EAAE,KAAMC,GAAQA,EAAI,MAAM,CAAC,CAAC,EACzHC,EAAiBC,GAAM,qBAAqBL,CAAoB,EAChEM,EAAW,KAAK,OAAO,MAAMX,EAASE,CAAW,GAAG,SAAS,CAAC,EAC9DL,EAAY,MAAMY,EAAYE,EAAUR,CAAY,EAC1D,KAAK,kBAAkBN,CAAS,CAClC,CAEO,kBAAkBA,EAA8B,CACrD,GAAM,CAAE,cAAAe,EAAe,OAAAC,CAAO,EAAI,KAAK,2BAA2BhB,CAAS,EAC3E,KAAK,eAAiBe,EACtB,KAAK,QAAUC,CACjB,CAEO,eAAeC,EAAuB,CAC3C,GAAM,CAAE,cAAAF,EAAe,OAAAC,CAAO,EAAI,KAAK,cAAcC,CAAO,EAC5D,KAAK,eAAiBF,EACtB,KAAK,QAAUC,CACjB,CAEQ,qBAAqB9B,EAAmB,CAC9C,GAAI,CAAC,KAAK,OACR,MAAM,IAAI,MAAM,mDAAmD,EAGrE,IAAMgC,EAAShC,EAAU,MAAM,GAAG,EAAE,OAAO,CAACiC,EAAoD/B,IAAY,CAE1G,GAAI,CAAC+B,EAAI,QAAQ,eAAe/B,CAAO,EACrC,MAAM,IAAI,MAAM,wDAAwDA,eAAqBF,GAAW,EAE1G,MAAO,CAAE,IAAKiC,EAAI,QAAS,QAAA/B,EAAS,QAAS+B,EAAI,QAAQ/B,EAAS,CACpE,EAAG,CAAE,QAAS,KAAK,MAAO,CAAC,EAErB,CAAE,IAAAD,EAAK,QAAAC,CAAQ,EAAI8B,EACzB,GAAI,CAAC/B,GAAO,CAACC,GAAW,EAAED,EAAIC,aAAuBgC,IACnD,MAAM,IAAI,MAAM,8DAA8DlC,GAAW,EAG3F,MAAO,CAAE,IAAAC,EAAK,QAAAC,CAAQ,CACxB,CASF,ECnJO,SAASiC,GACdC,EACAC,EACAC,EACa,CACb,OAAUC,EAAK,IAAM,CACnB,IAAIC,EAASC,GAAgBL,EAAGC,EAAO,iBAAkBA,EAAO,iBAAkBC,EAAQ,MAAM,EAChG,OAAAE,EAASE,EAAIF,EAAKH,EAAO,IAAI,EACtBG,CACT,CAAC,CACH,CCRO,SAASG,GACdC,EACAC,EACAC,EAAe,GACF,CACb,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAUC,GACdH,EACOI,EACAC,GAAOP,EAAIC,EAAiB,MAAqB,QAAS,CAAC,EAAG,CAAC,EAAG,MAAM,EAC3EA,EAAiB,MAAM,IACzB,EACEO,GAAuBR,EAAGC,EAAiB,MAA8B,CAAC,EAAG,CAAC,CAAC,CACrF,EACMQ,EAAOD,GAAuBJ,EAAMH,EAAiB,MAAO,CAAC,EAAG,CAAC,CAAC,EAElES,EAASL,GAAQC,EAAIF,EAAMK,CAAI,CAAC,EAChCE,EAAOH,GAAuBE,EAAKT,EAAiB,MAAO,CAAC,EAAG,CAAC,CAAC,EAEvE,OAAUI,GAAQC,EAAIF,EAASE,EAAIG,EAAME,CAAI,CAAC,CAAC,CACjD,CAAC,CACH,CAEO,SAASC,GACdZ,EACAC,EACAC,EAAe,GACfW,EAAc,GACD,CACb,OAAUV,EAAK,IAAM,CACnB,IAAMC,EAAUC,GACdH,EACOI,EACAC,GAAOP,EAAIC,EAAiB,MAAqB,QAASY,EAAc,CAAC,EAAG,CAAC,EAAI,CAAC,EAAG,CAAC,EAAG,MAAM,EAClGZ,EAAiB,MAAM,IACzB,EACEO,GAAuBR,EAAGC,EAAiB,MAA8BY,EAAc,CAAC,EAAG,CAAC,EAAI,CAAC,EAAG,CAAC,CAAC,CAC5G,EACMJ,EAAOD,GAAuBJ,EAAMH,EAAiB,MAAO,CAAC,EAAG,CAAC,CAAC,EAElES,EAASL,GAAQC,EAAIF,EAAMK,CAAI,CAAC,EAChCE,EAAOH,GAAuBE,EAAKT,EAAiB,MAAO,CAAC,EAAG,CAAC,CAAC,EAEjEa,EAAST,GAAQC,EAAIF,EAASE,EAAIG,EAAME,CAAI,CAAC,CAAC,EAC9CI,EAAOP,GAAuBM,EAAKb,EAAiB,MAAO,CAAC,EAAG,CAAC,CAAC,EAEvE,OAAUI,GAAQC,EAAIF,EAASE,EAAIG,EAASH,EAAIK,EAAMI,CAAI,CAAC,CAAC,CAAC,CAC/D,CAAC,CACH,CClDO,SAASC,GACdC,EACAC,EACAC,EAA4B,OAC5BC,EAAW,GACE,CACb,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAASC,EACVC,GAAOP,EAAGC,EAAO,QAAS,CAAC,EAAG,CAAC,EAAGC,CAAO,EAC5CD,EAAO,IACT,EAEA,OAAOE,EAAcK,GAAKH,CAAG,EAAIA,CACnC,CAAC,CACH,CChBO,SAASI,GAA2BC,EAAgBC,EAA+B,CACxF,OAAO,KAAKD,CAAS,EAAE,QAASE,GAAS,CAClCD,EAAc,KAAME,GAAOA,EAAG,eAAiBD,CAAI,GACtDF,EAAUE,GAAM,QAAQ,CAE5B,CAAC,CACH,CCJO,SAASE,GACdC,EACAC,EACA,CACA,MAAO,CACLC,EACAC,EACAC,EACAC,IACe,CACf,IAAMC,EAAaC,GACjBP,EAAeE,EAAaC,EAAcC,EAAaA,CAAU,EACjE,CAACA,EAAYA,EAAYF,EAAYC,CAAW,CAClD,EACMK,EAAUC,GAAST,EAAeG,CAAW,CAAC,EAEpD,OAAAF,EAAc,KACZ,CAAE,UAAW,GAAGI,WAAuB,EACvC,CAAE,UAAW,GAAGA,QAAoB,CACtC,EAEO,CAAE,QAAAC,EAAS,KAAAE,CAAK,CACzB,CACF,CCvBO,SAASE,GACdC,EACAC,EACA,CACA,MAAO,CACLC,EACAC,EACAC,IACa,CACb,IAAMC,EAAgBC,GAASN,EAAeE,EAAaC,CAAW,EAAG,CAACD,EAAYC,CAAW,CAAC,EAC5FI,EAAaC,GAASR,EAAeG,CAAW,CAAC,EAEvD,OAAAF,EAAc,KACZ,CAAE,UAAW,GAAGG,WAAuB,EACvC,CAAE,UAAW,GAAGA,QAAoB,CACtC,EAEO,CACL,QAASC,EACT,KAAME,CACR,CACF,CACF,CCNO,IAAME,GAAN,KAA0B,CAE/B,YAESC,EAEAC,EAEAC,EAEP,CANO,sBAAAF,EAEA,sBAAAC,EAEA,UAAAC,CAEN,CACL,EC3BO,SAASC,GACdC,EACAC,EACA,CACA,MAAO,CAACC,EAAoBC,EAAqBC,IAA8C,CAC7F,IAAMC,EAAsBC,GAASN,EAAe,EAAQE,CAAU,EAAG,CAAC,EAAG,EAAGA,EAAY,CAAC,CAAC,EACxFK,EAAsBD,GAASN,EAAeE,EAAaC,CAAW,EAAG,CAAC,EAAG,EAAGD,EAAYC,CAAW,CAAC,EACxGK,EAAUC,GAAST,EAAeG,CAAW,CAAC,EAEpD,OAAAF,EAAc,KACZ,CAAE,UAAW,GAAGG,oBAAgC,EAChD,CAAE,UAAW,GAAGA,oBAAgC,EAChD,CAAE,UAAW,GAAGA,QAAoB,CACtC,EAEO,IAAIM,GACTL,EACAE,EACAC,CACF,CACF,CACF,CAEO,SAASG,GAEdC,EACA,CACA,OAAQC,GAAwC,CAC9C,IAAMR,EAAmBO,EAAgC,GAAGC,qBAA2B,CAAC,EAClFN,EAAmBK,EAAgC,GAAGC,qBAA2B,CAAC,EAClFL,EAAOI,EAAgC,GAAGC,SAAe,CAAC,EAEhE,OAAO,IAAIH,GACTL,EACAE,EACAC,CACF,CACF,CACF,CCvCO,SAASM,GAA0BC,EAAgBC,EAA+B,CACvF,MAAO,CAACC,EAAsBC,EAAmBC,IAAwB,CACvE,IAAMC,EAASL,EAAUE,GAEzB,GAAI,CAACI,GAASD,EAAQF,CAAS,EAC7B,MAAM,IAAI,MAAM,sBAAsBD,oBAA+BC,oBAA4BE,GAAQ,EAG3G,OAAAJ,EAAc,KACZ,CAAE,aAAAC,EAAc,UAAWE,GAAcF,CAAa,CACxD,EAEOG,CACT,CACF,CCjBO,SAASE,GAAsBC,EAAuB,CAC3D,IAAIC,EAAmBD,EAEvB,SAASE,EAAeC,EAAkC,CACxD,IAAMC,EAAMH,EAAiB,MAAM,EAAGE,CAAU,EAChD,OAAAF,EAAmBA,EAAiB,MAAME,CAAU,EAC7CC,CACT,CAEA,SAASC,GAAoC,CAC3C,OAAOJ,CACT,CAEA,MAAO,CACL,eAAAC,EACA,oBAAAG,CACF,CACF,CCdO,SAASC,GAAkBC,EAAwCC,EAA+B,CACvG,IAAMC,EAAoBC,GAAyBH,EAAgBC,CAAa,EAC1EG,EAA6BC,GAAkCL,EAAgBC,CAAa,EAElG,SAASK,EAAyBC,EAAoBC,EAAqBC,EAAsBC,EAAe,GAA0B,CACxI,IAAMC,EAAQD,EACVR,EAAkBK,EAAYC,EAAa,EAAG,GAAGC,SAAoB,EACrEL,EAA2BG,EAAYC,EAAa,GAAGC,SAAoB,EACzEG,EAAQR,EAA2BI,EAAaA,EAAa,GAAGC,SAAoB,EACpFI,EAAQT,EAA2BI,EAAaA,EAAa,GAAGC,SAAoB,EAE1F,MAAO,CAAE,MAAAE,EAAO,MAAAC,EAAO,MAAAC,CAAM,CAC/B,CAEA,SAASC,EAAyBP,EAAoBC,EAAqBC,EAAsBC,EAAe,GAA0B,CACxI,GAAM,CAAE,MAAAC,EAAO,MAAAC,EAAO,MAAAC,CAAM,EAAIP,EAAyBC,EAAYC,EAAaC,EAAcC,CAAY,EACtGK,EAAQX,EAA2BI,EAAaA,EAAa,GAAGC,SAAoB,EAE1F,MAAO,CACL,MAAAE,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAE,CACvB,CACF,CAEA,MAAO,CACL,yBAAAT,EACA,yBAAAQ,CACF,CACF,CC1BO,SAASE,GAAcC,EAA8F,CAC1H,IAAMC,EAAgC,CAAC,EAEjC,CACJ,eAAAC,EACA,oBAAAC,CACF,EAAIC,GAAsBJ,CAAO,EAE3B,CACJ,yBAAAK,CACF,EAAIC,GAAkBJ,EAAgBD,CAAa,EAE7CM,EAASF,EAAyB,EAAG,GAAI,SAAU,EAAI,EACvDG,EAASH,EAAyB,GAAI,GAAI,QAAQ,EAClDI,EAASJ,EAAyB,GAAI,IAAK,QAAQ,EACnDK,EAASL,EAAyB,IAAK,IAAK,QAAQ,EAE1D,GAAIF,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAGlF,MAAO,CACL,cAAAF,EACA,OAAQ,CACN,OAAAM,EAAQ,OAAAC,EAAQ,OAAAC,EAAQ,OAAAC,CAC1B,CACF,CACF,CC1BO,SAASC,GAAsBC,EAAuE,CAC3G,OAAQC,GAA+B,CACrC,IAAMC,EAAUF,EAAgC,GAAGC,YAAkB,CAAC,EAChEE,EAAOH,EAAgC,GAAGC,SAAe,CAAC,EAEhE,MAAO,CAAE,QAAAC,EAAS,KAAAC,CAAK,CACzB,CACF,CCRO,SAASC,GAAkBC,EAAgBC,EAA+B,CAC/E,IAAMC,EAAqBC,GAA0BH,EAAWC,CAAa,EAEvEG,EAAoBC,GAAsBH,CAAkB,EAC5DI,EAA6BC,GAA+BL,CAAkB,EAEpF,SAASM,EAAyBC,EAAgBC,EAAe,GAA0B,CACzF,IAAMC,EAAQD,EACVN,EAAkB,GAAGK,SAAc,EACnCH,EAA2B,GAAGG,SAAc,EAC1CG,EAAQN,EAA2B,GAAGG,SAAc,EACpDI,EAAQP,EAA2B,GAAGG,SAAc,EAE1D,MAAO,CAAE,MAAAE,EAAO,MAAAC,EAAO,MAAAC,CAAM,CAC/B,CAEA,SAASC,EAAyBL,EAAgBC,EAAe,GAA0B,CACzF,IAAMC,EAAQD,EACVN,EAAkB,GAAGK,SAAc,EACnCH,EAA2B,GAAGG,SAAc,EAC1CG,EAAQN,EAA2B,GAAGG,SAAc,EACpDI,EAAQP,EAA2B,GAAGG,SAAc,EACpDM,EAAQT,EAA2B,GAAGG,SAAc,EAE1D,MAAO,CACL,MAAAE,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAE,CACvB,CACF,CAEA,MAAO,CACL,yBAAAP,EACA,yBAAAM,CACF,CACF,CC/BO,SAASE,GACdC,EACuE,CACvE,IAAMC,EAAgC,CAAC,EAEjC,CACJ,yBAAAC,CACF,EAAIC,GAAkBH,EAAWC,CAAa,EAExCG,EAAS,CACb,OAAQF,EAAyB,SAAU,EAAI,EAC/C,OAAQA,EAAyB,QAAQ,EACzC,OAAQA,EAAyB,QAAQ,EACzC,OAAQA,EAAyB,QAAQ,CAC3C,EAEA,OAAAG,GAA2BL,EAAWC,CAAa,EAE5C,CAAE,OAAAG,EAAQ,cAAAH,CAAc,CACjC,CCfO,IAAMK,GAAN,cAAmCC,EAAuG,CAC/I,aAAc,CACZ,MAAM,sBAAsB,CAC9B,CAEO,aAAaC,EAA8B,CAChD,GAAM,CAAE,OAAAC,CAAO,EAAI,KAEnB,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,oDAAoD,EAGtE,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAiBC,GAAKJ,EAAM,cAAc,IAAK,EAAI,EAAG,SAAS,EAE/DK,EAAaC,GAAUH,EADb,CAAC,QAAS,QAAS,OAAO,CACO,EAAE,IAAI,GAAG,EAEtDI,EAAMC,GAAYH,EAAYJ,EAAO,OAAQ,EAAI,EACrD,OAAAM,EAAMC,GAAYD,EAAKN,EAAO,MAAM,EACpCM,EAAMC,GAAYD,EAAKN,EAAO,MAAM,EACpCM,EAAMC,GAAYD,EAAKN,EAAO,MAAM,EACpCM,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,OAAO,EAEtCA,CACT,CAAC,CACH,CAEA,MAAa,QAAQP,EAAwC,CAC3D,OAAO,KAAK,aAAa,MAAMU,GAAWV,CAAK,CAAC,CAClD,CAEU,qBAA8B,CACtC,MAAO,8BACT,CAEU,2BAA2BW,EAA8B,CACjE,OAAOC,GAA2BD,CAAS,CAC7C,CAEU,cAAcE,EAAuB,CAC7C,OAAOC,GAAcD,CAAO,CAC9B,CACF,EChDO,SAASE,GACdC,EACAC,EACa,CACb,OAAUC,EAAK,IAASC,EACnBC,GAAOJ,EAAGC,EAAO,OAAO,EAC3BA,EAAO,IACT,CAAC,CACH,CCTO,SAASI,GAAcC,EAAuBC,EAAoBC,EAA2E,CAClJ,IAAMC,EAAgC,CAAC,EAEjC,CACJ,eAAAC,EACA,oBAAAC,CACF,EAAIC,GAAsBN,CAAO,EAI3BO,EAFkBC,GAAuBJ,EAAgBD,CAAa,EAEjDF,EAAYC,EAAa,IAAI,EAExD,GAAIG,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAGlF,MAAO,CACL,cAAAF,EACA,OAAQ,CAAE,GAAAI,CAAG,CACf,CACF,CClBO,SAASE,GACdC,EACsD,CACtD,IAAMC,EAAgC,CAAC,EAEjCC,EAAqBC,GAA0BH,EAAWC,CAAa,EAE7E,SAASG,EAAgBC,EAA0B,CACjD,IAAMC,EAAUJ,EAAmB,GAAGG,YAAkB,CAAC,EACnDE,EAAOL,EAAmB,GAAGG,SAAe,CAAC,EACnD,MAAO,CAAE,QAAAC,EAAS,KAAAC,CAAK,CACzB,CAEA,IAAMC,EAAS,CACb,GAAIJ,EAAgB,IAAI,CAC1B,EAEA,OAAAK,GAA2BT,EAAWC,CAAa,EAE5C,CAAE,OAAAO,EAAQ,cAAAP,CAAc,CACjC,CCvBO,SAASS,GAAmBC,EAA8B,CAC/D,IAAMC,EAAyC,CAAC,EAC1CC,EAAmC,CAAC,EAE1C,cAAO,KAAKF,CAAS,EAAE,QAASG,GAAQ,CACtC,IAAMC,EAAMD,EAAI,WAAW,IAAI,EAAID,EAAgBD,EACnDG,EAAID,GAAOH,EAAUG,EACvB,CAAC,EAEM,CAAE,oBAAAF,EAAqB,cAAAC,CAAc,CAC9C,CCDO,IAAeG,GAAf,cAGGC,EAAyB,CAGjC,YAAYC,EAAeC,EAA+D,CACxF,MAAMD,CAAK,EACX,KAAK,sBAAwBC,CAC/B,CAEA,IAAW,sBAAgE,CACzE,OAAO,KAAK,qBACd,CAQO,OAAOC,EAA4C,CACxD,GAAM,CAAE,OAAAC,CAAO,EAAI,KAEnB,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,GAAG,KAAK,qCAAqC,EAG/D,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAqBH,aAAiBI,GACxC,KAAK,qBAAqB,aAAaJ,CAAK,EAC5CA,EACJ,OAAOK,GAAoBF,EAAmB,KAAKA,EAAmB,MAAM,GAAI,EAAE,EAAGF,EAAO,EAAE,CAChG,CAAC,CACH,CAEgB,QAAQK,EAAmB,GAAM,CAC/C,KAAK,qBAAqB,QAAQA,CAAgB,EAClD,MAAM,QAAQA,CAAgB,CAChC,CAEO,qBAAqBC,EAAuB,CACjD,GAAM,CAAE,OAAAN,EAAQ,cAAAO,CAAc,EAAI,KAAK,wBAAwBD,CAAO,EACtE,KAAK,QAAUN,EACf,KAAK,eAAiBO,CACxB,CAEO,wBAAwBD,EAAuB,CACpD,OAAOE,GAAcF,EAAS,KAAK,wBAAwB,EAAG,KAAK,yBAAyB,CAAC,CAC/F,CAEU,2BAA2BG,EAA8B,CACjE,GAAM,CAAE,oBAAAC,EAAqB,cAAAC,CAAc,EAAIC,GAAmBH,CAAS,EAE3E,YAAK,qBAAqB,kBAAkBC,CAAmB,EAExDG,GAA2BF,CAAa,CACjD,CAEU,cAAcL,EAAuB,CAC7C,IAAMQ,EAAM,KAAK,wBAAwB,EACnCC,EAAO,KAAK,yBAAyB,EACrCC,EAAwBD,EAAOD,EAAOC,EAEtCE,EAA0BX,EAAQ,MAAM,EAAGA,EAAQ,OAASU,CAAoB,EAChFE,EAAoBZ,EAAQ,MAAMA,EAAQ,OAASU,CAAoB,EAE7E,YAAK,qBAAqB,eAAeC,CAAuB,EACzD,KAAK,wBAAwBC,CAAiB,CACvD,CACF,ECjFO,IAAMC,GAAyB,CAAC,UAAW,QAAS,MAAO,QAAS,UAAW,YAAa,WAAW,EAEjGC,GAAN,KAAsB,CAS3B,YAAYC,EAAwC,CARpD,KAAO,QAAU,EACjB,KAAO,MAAQ,EACf,KAAO,IAAM,EACb,KAAO,MAAQ,EACf,KAAO,QAAU,EACjB,KAAO,UAAY,EACnB,KAAO,UAAY,EAGjB,GAAIA,EAAc,SAAW,EAC3B,MAAM,IAAI,MAAM,8EAA8EA,EAAc,QAAQ,EAGtHF,GAAuB,QAAQ,CAACG,EAAYC,IAAQ,CAClD,KAAKD,GAAcD,EAAcE,EACnC,CAAC,CACH,CAEA,eAAgB,CACd,OAAOJ,GACJ,IAAKG,IAAgB,CAAE,WAAAA,EAAY,YAAa,KAAKA,EAAsB,EAAE,EAC7E,KAAK,CAACE,EAAIC,IAAOA,EAAG,YAAcD,EAAG,WAAW,CACrD,CACF,EClBO,IAAME,GAAN,cAAgCC,EAA0C,CAC/E,YAAYC,EAA6C,IAAIC,GAAwB,CACnF,MAAM,oBAAqBD,CAAoB,CACjD,CAEO,aAAaE,EAA4C,CAC9D,OAAUC,EAAK,IAASC,GAAQ,KAAK,OAAOF,CAAK,CAAC,CAAC,CACrD,CAEA,MAAa,QAAQA,EAAwC,CAC3D,OAAO,KAAK,aAAa,MAAMG,GAAWH,CAAK,CAAC,CAClD,CAEA,MAAa,mBAAmBA,EAAkB,CAChD,IAAMI,EAAW,MAAMD,GAAWH,CAAK,EACjCK,EAAM,MAAM,KAAK,aAAaD,CAAQ,EACtCE,EAAsB,MAAM,QAAQ,IAAOC,GAAQF,CAAG,EAAE,IAAI,MAAOG,GAAM,CAC7E,IAAMC,EAAOD,EAAE,SAAS,EACxB,OAAAA,EAAE,QAAQ,EACHC,CACT,CAAC,CAAC,EACFJ,EAAI,QAAQ,EAEZ,IAAMK,EAAqBJ,EACxB,IAAKK,GAAiB,IAAIC,GAAgBD,CAA4B,CAAC,EAE1E,OAAOP,EAAS,aACZM,EACAA,EAAmB,EACzB,CAEU,qBAA8B,CACtC,MAAO,uBACT,CAEU,yBAAkC,CAC1C,MAAO,IACT,CAEU,0BAAmC,CAC3C,MAAO,EACT,CACF,EC9CO,SAASG,GAAsBC,EAA0C,CAC9E,OAAOA,EAAI,uBAAuBC,EACpC,CAEO,SAASC,GAAmCC,EAAoBC,EAA4D,CAEjI,MAAO,CAAE,GAAGD,EAAW,GADL,CAAE,YAAAC,CAAY,CACI,CACtC,CCFO,SAASC,IAAoBC,EAAuCC,EAA6EC,EAAgB,GAAKC,EAA0B,EACxK,MAAM,QAAQF,CAAe,EAAIA,EAAkB,CAACA,CAAe,GAE3E,QAASG,GAAM,CAElC,IAAMC,EAAOD,aAAaE,GACtBF,EACCG,GAAsBH,CAAC,EAAIA,EAAE,YAAc,OAChD,GAAI,CAACC,EACH,MAAM,IAAI,MAAM,iHAAiH,EAInI,IAAMG,EADSH,EAAK,cAAc,EACF,OAAQI,GAAcA,EAAU,YAAcP,CAAa,EAErFQ,EAASC,GAAoBP,CAAC,EAChCA,EAAE,UAAU,IAAI,WACfD,GAAmB,IAAIS,GAAM,EAAG,CAAC,EAEhB,IAAIC,GACxBL,EAAiB,IAAKC,GAAc,GAAGA,EAAU,eAAeK,GAAML,EAAU,WAAW,IAAI,EAC/FC,CACF,EACc,KAAKV,CAAS,CAC9B,CAAC,CACH,CCpBO,SAASe,GAAoBC,EAA0E,CAC5G,OAAOC,GAAoBD,CAAG,GAEzBA,EAAI,qBAAwBE,IAE5BF,EAAI,8BAAiCE,IAErCF,EAAI,uBAA0BG,EACrC,CAEA,SAASC,IAAmBC,EAAM,CAEhC,IAAMC,EAAU,CAACC,EAAIC,EAAIC,EAAIC,IAAQ,KAAK,MAAMA,EAAKF,EAAIC,EAAKF,CAAE,EAAI,KAAK,GAGnEI,EAAWC,GAAWA,EAAQ,IAAO,KAAK,GAE1CC,EAAQ,CAAE,KAA0B,OAAW,MAA2B,OAAW,IAAyB,MAAU,EAE9H,GAAI,CAACR,GAAQ,CAACA,EAAK,YAAcA,EAAK,WAAW,SAAW,GAAI,OAAOQ,EACvE,IAAMC,EAAKT,EAAK,WAOhBQ,EAAM,KAAO,CAACP,EAAQQ,EAAG,IAAI,GAAIA,EAAG,IAAI,GAAIA,EAAG,IAAI,GAAIA,EAAG,IAAI,EAAE,EAKhED,EAAM,MAAQP,EAAQ,EAAG,KAAK,IAAIQ,EAAG,GAAG,GAAKA,EAAG,IAAI,EAAE,EAAIA,EAAG,IAAI,GAAI,KAAK,GAAI,KAAK,IAAIA,EAAG,IAAI,GAAKA,EAAG,IAAI,EAAE,EAAIA,EAAG,IAAI,EAAE,EAMzH,IAAMC,EAASD,EAAG,OAAO,CAACE,EAAMC,IAASD,EAAOC,EAAI,GAAKD,EAAOC,EAAI,GAAK,GAAS,EAC5EC,EAAMJ,EAAG,OAAO,CAACE,EAAMC,IAASD,EAAOC,EAAI,GAAKD,EAAOC,EAAI,GAAK,IAAS,EAC/E,OAAAJ,EAAM,IAAM,KAAK,IAAMR,EAAK,SAAS,SAAWa,EAAMH,GAAU,IAAO,GAEhEF,CACT,CAEO,SAASM,GAAwHC,EAAoBC,EAAgF,CAC1O,GAAM,CAAE,IAAKC,CAAM,EAAIF,EAAU,UAC3BG,EAAYF,EAAmB,QAAwBC,EAAM,EAAGA,EAAM,CAAC,EACvEE,EAAOD,EAAU,MAAM,EACvB,CAAE,UAAAE,CAAU,EAAIL,EAAU,UAC1BM,EAAc,IAAIvB,GAAciB,EAAU,UAAU,MAAOI,EAAK,QAAQC,EAAU,QAAQ,CAAC,EAAGA,CAAS,EACvGZ,EAAQT,IAAmBiB,CAAkB,EASnD,MAAO,CAAE,GAAGD,EAAW,GAPL,CAChB,UAAAG,EACA,mBAAAF,EACA,YAAAK,EACA,MAAAb,CACF,CAEoC,CACtC,CCzDO,IAAMc,GAAN,KAA+B,CAapC,YAAYC,EAAqC,CAAC,EAAG,CACnD,GAAM,CACJ,UAAAC,EAAY,GAAM,WAAAC,EAAa,GAAM,UAAAC,EAAW,UAAAC,EAAW,UAAAC,EAAW,WAAAC,CACxE,EAAIN,EACJ,KAAK,UAAYC,EACjB,KAAK,WAAaC,EAClB,KAAK,UAAYC,GAAa,EAC9B,KAAK,UAAYE,GAAa,EAC9B,KAAK,UAAYD,GAAa,uBAC9B,KAAK,WAAaE,GAAc,sBAClC,CACF,EAEaC,GAAN,KAAwB,CAK7B,YACEC,EACAR,EAAqC,CAAC,EACtC,CACA,KAAK,cAAgBQ,EACrB,KAAK,QAAU,IAAIT,GAAyBC,CAAO,CACrD,CAEA,KAAKS,EAAkE,CACrE,IAAMC,EAAMC,GAAoBF,CAAS,EAEnC,CACJ,UAAAR,EAAW,WAAAC,EAAY,UAAAC,EAAW,UAAAC,EAAW,UAAAC,EAAW,WAAAC,CAC1D,EAAI,KAAK,QAcT,GAZIL,GAAa,KAAK,yBAAyBW,KAC7CF,EAAI,YAAcN,EAClBM,EAAI,UAAYP,EAChBU,GAAYH,EAAK,KAAK,cAAc,cAAc,CAAC,EACnDG,GAAYH,EAAK,KAAK,cAAc,eAAe,CAAC,EACpDG,GAAYH,EAAK,KAAK,cAAc,gBAAgB,CAAC,EACrDG,GAAYH,EAAK,KAAK,cAAc,QAAQ,CAAC,EAC7CG,GAAYH,EAAK,KAAK,cAAc,WAAW,EAAG,EAAI,EACtDG,GAAYH,EAAK,KAAK,cAAc,YAAY,EAAG,EAAI,EACvDG,GAAYH,EAAK,KAAK,cAAc,SAAS,EAAG,EAAI,GAGlDR,EAAY,CACdQ,EAAI,YAAcJ,EAClBI,EAAI,UAAYJ,EAEhB,IAAMQ,EAAaC,GAAe,CAChCL,EAAI,UAAU,EACdA,EAAI,IAAIK,EAAG,EAAGA,EAAG,EAAGV,EAAW,EAAG,EAAI,KAAK,EAAE,EAC7CK,EAAI,KAAK,CACX,EACA,KAAK,cAAc,UAAU,QAAQI,CAAS,CAChD,CACF,CACF,EAIO,SAASE,IACdP,EACAD,EACA,EAC2B,MAAM,QAAQA,CAAa,EAAIA,EAAgB,CAACA,CAAa,GACrE,QAASS,GAAM,CAEhC,IAAMC,EAAYD,aAAaE,GAC3BF,EACCG,GAAoBH,CAAC,EAAIA,EAAE,UAAY,OAC5C,GAAI,CAACC,EACH,MAAM,IAAI,MAAM,8HAA8H,EAGhJ,IAAIX,GAAkBW,CAAS,EAAE,KAAKT,CAAS,CACjD,CAAC,CACH,gBCvGA,SAASY,IAAkBC,EAAwCC,EAA+B,CAChG,IAAMC,EAAoBC,GAAyBH,EAAgBC,CAAa,EAC1EG,EAA6BC,GAAkCL,EAAgBC,CAAa,EAElG,SAASK,EAA4BC,EAAoBC,EAAqBC,EAA4C,CACxH,IAAMC,EAAkBN,EAA2BG,EAAYC,EAAa,GAAGC,mBAA8B,EACvGE,EAAkBP,EAA2BI,EAAaA,EAAa,GAAGC,mBAA8B,EACxGG,EAAiBV,EAAkBK,EAAYC,EAAa,EAAG,GAAGC,kBAA6B,EAErG,MAAO,CAAE,gBAAAC,EAAiB,gBAAAC,EAAiB,eAAAC,CAAe,CAC5D,CAEA,SAASC,EAAuBC,EAAkBL,EAAuC,CACvF,IAAMC,EAAkBN,EAA2BU,EAAUA,EAAU,GAAGL,mBAA8B,EAClGE,EAAkBP,EAA2BU,EAAUA,EAAU,GAAGL,mBAA8B,EAClGM,EAAkBX,EAA2BU,EAAUA,EAAU,GAAGL,mBAA8B,EAExG,MAAO,CAAE,gBAAAC,EAAiB,gBAAAC,EAAiB,gBAAAI,CAAgB,CAC7D,CAEA,MAAO,CACL,kBAAAb,EACA,2BAAAE,EACA,4BAAAE,EACA,uBAAAO,CACF,CACF,CAEO,SAASG,GAAcC,EAAuBC,EAAsF,CACzI,IAAMjB,EAAgC,CAAC,EAEjC,CACJ,eAAAD,EACA,oBAAAmB,CACF,EAAIC,GAAsBH,CAAO,EAE3B,CACJ,kBAAAf,EACA,2BAAAE,EACA,4BAAAE,EACA,uBAAAO,CACF,EAAId,IAAkBC,EAAgBC,CAAa,EAE7CoB,EAAqBnB,EAAkB,EAAG,GAAI,EAAG,oBAAoB,EACrEoB,EAA+BhB,EAA4B,GAAI,GAAI,8BAA8B,EACjGiB,EAA+BjB,EAA4B,GAAI,IAAK,8BAA8B,EAElGkB,EAAa,CACjB,QAASH,EACT,kBAAmBC,EACnB,kBAAmBC,CACrB,EAEME,EAAc,CAAC,EACrBC,GAAMR,EAAe,EAAG,CAAC,EAAE,QAASS,GAAQ,CAC1CF,EAAY,cAAcE,KAASd,EAAuB,IAAK,0BAA0Bc,GAAK,CAChG,CAAC,EAED,IAAMC,EAA4BtB,EAA4B,IAAK,IAAK,2BAA2B,EAC7FuB,EAA2BzB,EAA2B,IAAK,IAAK,0BAA0B,EAE1F0B,EAAY,CAChB,gBAAiBF,EACjB,eAAgBC,CAClB,EAEA,GAAIV,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAGlF,MAAO,CACL,cAAAlB,EACA,OAAQ,CAAE,WAAAuB,EAAY,YAAAC,EAAa,UAAAK,CAAU,CAC/C,CACF,CCxEA,SAASC,IAAkBC,EAAgBC,EAA+B,CACxE,IAAMC,EAAqBC,GAA0BH,EAAWC,CAAa,EAEvEG,EAAoBC,GAAsBH,CAAkB,EAC5DI,EAA6BC,GAA+BL,CAAkB,EAEpF,SAASM,EAA4BC,EAA4C,CAC/E,IAAMC,EAAkBJ,EAA2B,GAAGG,mBAA8B,EAC9EE,EAAkBL,EAA2B,GAAGG,mBAA8B,EAC9EG,EAAiBR,EAAkB,GAAGK,kBAA6B,EAEzE,MAAO,CAAE,gBAAAC,EAAiB,gBAAAC,EAAiB,eAAAC,CAAe,CAC5D,CAEA,SAASC,EAAuBJ,EAAuC,CACrE,IAAMC,EAAkBJ,EAA2B,GAAGG,mBAA8B,EAC9EE,EAAkBL,EAA2B,GAAGG,mBAA8B,EAC9EK,EAAkBR,EAA2B,GAAGG,mBAA8B,EAEpF,MAAO,CAAE,gBAAAC,EAAiB,gBAAAC,EAAiB,gBAAAG,CAAgB,CAC7D,CAEA,MAAO,CACL,kBAAAV,EACA,2BAAAE,EACA,4BAAAE,EACA,uBAAAK,CACF,CACF,CAEO,SAASE,GACdf,EACAgB,EAC+D,CAC/D,IAAMf,EAAgC,CAAC,EAEjC,CACJ,kBAAAG,EACA,2BAAAE,EACA,4BAAAE,EACA,uBAAAK,CACF,EAAId,IAAkBC,EAAWC,CAAa,EAExCgB,EAAqBb,EAAkB,oBAAoB,EAC3Dc,EAA+BV,EAA4B,8BAA8B,EACzFW,EAA+BX,EAA4B,8BAA8B,EAEzFY,EAAa,CACjB,QAASH,EACT,kBAAmBC,EACnB,kBAAmBC,CACrB,EAEME,EAAc,CAAC,EACrBC,GAAMN,EAAe,EAAG,CAAC,EAAE,QAASO,GAAQ,CAC1CF,EAAY,cAAcE,KAASV,EAAuB,0BAA0BU,GAAK,CAC3F,CAAC,EAED,IAAMC,EAA4BhB,EAA4B,2BAA2B,EACnFiB,EAA2BnB,EAA2B,0BAA0B,EAEhFoB,EAAY,CAChB,gBAAiBF,EACjB,eAAgBC,CAClB,EAEA,OAAAE,GAA2B3B,EAAWC,CAAa,EAE5C,CAAE,OAAQ,CAAE,WAAAmB,EAAY,YAAAC,EAAa,UAAAK,CAAU,EAAG,cAAAzB,CAAc,CACzE,CCjEA,SAAS2B,GAAKC,EAAgBC,EAAoBC,EAAuC,CACvF,OAAUC,EAAOC,GAAOJ,EAAGC,EAAO,QAASC,EAAQ,MAAM,EAAGD,EAAO,IAAI,CACzE,CAEA,SAASI,GAAeL,EAAgBC,EAA8BK,EAAkB,GAAmB,CACzG,IAAIC,EAAMD,EAAqBE,GAAKR,CAAC,EAAIA,EACzC,OAAAO,EAAME,GAAuBF,EAAKN,EAAO,gBAAiB,CAAC,EAAG,CAAC,CAAC,EAChEM,EAAME,GAA0BD,GAAKD,CAAG,EAAGN,EAAO,gBAAiB,CAAC,EAAG,CAAC,CAAC,EACzEM,EAASG,GAAQH,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAASJ,EAAII,EAAKR,GAAKC,EAAGC,EAAO,eAAgB,CAAC,EAAG,CAAC,CAAC,CAAC,EACjDM,CACT,CAEA,SAASI,IAAUX,EAAgBC,EAAsC,CACvE,IAAIM,EAAME,GAA0BD,GAAKR,CAAC,EAAGC,EAAO,gBAAiB,CAAC,EAAG,CAAC,CAAC,EAC3E,OAAAM,EAAME,GAA0BD,GAAKD,CAAG,EAAGN,EAAO,gBAAiB,CAAC,EAAG,CAAC,CAAC,EACzEM,EAAME,GAA0BD,GAAKD,CAAG,EAAGN,EAAO,gBAAiB,CAAC,EAAG,CAAC,CAAC,EACzEM,EAASJ,EAAII,EAAKP,CAAC,EACZO,CACT,CAEO,IAAMK,GAAN,cAA2BC,EAAkC,CAGlE,YAAYC,EAAuB,CACjC,MAAM,cAAc,EACpB,KAAK,eAAiBA,CACxB,CAEO,aAAaC,EAA8B,CAChD,GAAM,CAAE,OAAAd,CAAO,EAAI,KACnB,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,4CAA4C,EAE9D,OAAUe,EAAK,IAAM,CACnB,IAAMC,EAAiBC,GAAKH,EAAM,cAAc,IAAK,EAAI,EAAG,SAAS,EAE/DI,EAAaC,GAAUH,EADb,CAAC,QAAS,QAAS,OAAO,CACO,EAAE,IAAI,GAAG,EACtDV,EAASC,GAAKT,GAAKoB,EAAYlB,EAAO,WAAW,QAAS,CAAC,EAAG,CAAC,CAAC,CAAC,EACrE,OAAAM,EAAMF,GAAeE,EAAKN,EAAO,WAAW,kBAAmB,EAAK,EACpEM,EAAMF,GAAeE,EAAKN,EAAO,WAAW,iBAAiB,EAC7DoB,GAAM,KAAK,eAAgB,EAAG,CAAC,EAAE,QAASC,GAAQ,CAChDf,EAAMI,IAAUJ,EAAKN,EAAO,YAAY,cAAcqB,IAAM,CAC9D,CAAC,EACDf,EAAMF,GAAeE,EAAKN,EAAO,UAAU,eAAe,EAC1DM,EAASC,GAAKC,GAAuBF,EAAKN,EAAO,UAAU,eAAgB,CAAC,EAAG,CAAC,CAAC,CAAC,EAC3EM,CACT,CAAC,CACH,CAEA,MAAa,QAAQQ,EAAwC,CAC3D,OAAO,KAAK,aAAa,MAAMQ,GAAWR,CAAK,CAAC,CAClD,CAEU,qBAA8B,CACtC,MAAO,qBACT,CAEU,2BAA2BS,EAA8B,CACjE,OAAOC,GAA2BD,EAAW,KAAK,cAAc,CAClE,CAEU,cAAcE,EAAuB,CAC7C,OAAOC,GAAcD,EAAS,KAAK,cAAc,CACnD,CACF,ECzEO,SAASE,GAAcC,EAA6E,CACzG,IAAMC,EAAgC,CAAC,EAEjC,CACJ,eAAAC,EACA,oBAAAC,CACF,EAAIC,GAAsBJ,CAAO,EAE3BK,EAAkBC,GAAuBJ,EAAgBD,CAAa,EAEtEM,EAAMF,EAAgB,IAAK,EAAG,QAAQ,EACtCG,EAASH,EAAgB,IAAK,EAAG,WAAW,EAElD,GAAIF,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAGlF,MAAO,CACL,cAAAF,EACA,OAAQ,CAAE,GAAI,CAAE,IAAAM,EAAK,OAAAC,CAAO,CAAE,CAChC,CACF,CCnBO,SAASC,GACdC,EACsD,CACtD,IAAMC,EAAgC,CAAC,EAEjCC,EAAqBC,GAA0BH,EAAWC,CAAa,EAE7E,SAASG,EAAgBC,EAA0B,CACjD,IAAMC,EAAUJ,EAAmB,GAAGG,YAAkB,CAAC,EACnDE,EAAOL,EAAmB,GAAGG,SAAe,CAAC,EACnD,MAAO,CAAE,QAAAC,EAAS,KAAAC,CAAK,CACzB,CAEA,IAAMC,EAAS,CACb,GAAI,CACF,IAAKJ,EAAgB,QAAQ,EAC7B,OAAQA,EAAgB,WAAW,CACrC,CACF,EAEA,OAAAK,GAA2BT,EAAWC,CAAa,EAE5C,CAAE,OAAAO,EAAQ,cAAAP,CAAc,CACjC,CCvBO,IAAKS,QAEVA,EAAA,OAAS,SAETA,EAAA,KAAO,OAJGA,QAAA,ICKL,IAAMC,GAAN,cAA2BC,EAAyB,CAGzD,YAAYC,EAAqC,IAAIC,GAAa,CAAC,EAAG,CACpE,MAAM,cAAc,EACpB,KAAK,sBAAwBD,CAC/B,CAEA,IAAW,sBAAqC,CAC9C,OAAO,KAAK,qBACd,CAEO,OAAOE,EAA0C,CACtD,GAAM,CAAE,OAAAC,CAAO,EAAI,KAEnB,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,GAAG,KAAK,qCAAqC,EAG/D,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAqBH,aAAiBI,GACxC,KAAK,qBAAqB,aAAaJ,CAAK,EAC5CA,EAEEK,EAAYC,GAAQH,EAAoB,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,OAAO,EAAE,KAAKA,EAAmB,MAAM,GAAI,EAAE,EACrGI,EAAMC,GAAoBH,EAAQJ,EAAO,GAAG,GAAG,EAAE,KAAK,EACtDQ,EAASD,GAAoBH,EAAQJ,EAAO,GAAG,MAAM,EAC3D,MAAO,CAAE,IAAAM,EAAK,OAAAE,CAAO,CACvB,CAAC,CACH,CAEO,aAAaT,EAA0C,CAC5D,OAAUE,EAAK,IAAM,CACnB,GAAM,CAAE,IAAAK,EAAK,OAAAE,CAAO,EAAI,KAAK,OAAOT,CAAK,EACzC,MAAO,CAAE,IAAAO,EAAK,OAAWG,GAAQD,CAAM,CAAE,CAC3C,CAAC,CACH,CAEA,MAAa,QAAQT,EAAsC,CACzD,OAAO,KAAK,aAAa,MAAMW,GAAWX,CAAK,CAAC,CAClD,CAEA,MAAa,oBAAoBA,EAA8E,CAC7G,IAAMY,EAAW,MAAMD,GAAWX,CAAK,EACjCa,EAAM,MAAM,KAAK,aAAaD,CAAQ,EAEtCE,EAAUC,GAAQF,EAAI,GAAG,EACzBG,EAAaD,GAAQF,EAAI,MAAM,EAC/BI,EAAsBH,EAAK,IAAI,CAACI,EAAWC,KAAO,CACtD,UAAAD,EACA,aAAcF,EAAQG,EACxB,EAAE,EAEIC,EAAqB,MAAM,QAAQ,IACvCH,EAAoB,IAAI,MAAO,CAAE,UAAAC,EAAW,aAAAG,CAAa,IAAM,CAC7D,IAAMd,EAAOW,EAAU,SAAS,EAAG,GAC7BI,EAAYD,EAAa,SAAS,EAAG,GACrCE,EAASD,EAAW,GACpBb,EAASc,kBACTC,EAAoBD,EAASD,EAAY,EAAIA,EAEnD,OAAAJ,EAAU,QAAQ,EAClBG,EAAa,QAAQ,EACd,CAAE,IAAAd,EAAK,OAAAE,EAAQ,kBAAAe,CAAkB,CAC1C,CAAC,CACH,EACA,OAAAX,EAAI,IAAI,QAAQ,EAChBA,EAAI,OAAO,QAAQ,EAEZD,EAAS,aAAeQ,EAAiDA,EAAmB,EACrG,CAEU,qBAA8B,CACtC,MAAO,kBACT,CAEgB,QAAQK,EAAmB,GAAM,CAC/C,KAAK,qBAAqB,QAAQA,CAAgB,EAClD,MAAM,QAAQA,CAAgB,CAChC,CAEO,qBAAqBC,EAAuB,CACjD,GAAM,CAAE,OAAAzB,EAAQ,cAAA0B,CAAc,EAAI,KAAK,wBAAwBD,CAAO,EACtE,KAAK,QAAUzB,EACf,KAAK,eAAiB0B,CACxB,CAEO,wBAAwBD,EAAuB,CACpD,OAAOE,GAAcF,CAAO,CAC9B,CAEU,2BAA2BG,EAA8B,CACjE,GAAM,CAAE,oBAAAC,EAAqB,cAAAC,CAAc,EAAIC,GAAmBH,CAAS,EAE3E,YAAK,qBAAqB,kBAAkBC,CAAmB,EAExDG,GAA2BF,CAAa,CACjD,CAEU,cAAcL,EAAuB,CAG7C,IAAMQ,EAA0BR,EAAQ,MAAM,EAAGA,EAAQ,OAAS,IAAoB,EAChFS,EAAoBT,EAAQ,MAAMA,EAAQ,OAAS,IAAoB,EAE7E,YAAK,qBAAqB,eAAeQ,CAAuB,EACzD,KAAK,wBAAwBC,CAAiB,CACvD,CACF,EC7GO,IAAeC,GAAf,cAGGC,EAAgC,CACjC,YAAYC,EAAqBC,EAAmBC,EAAgD,CACzG,IAAMC,EAAkBD,EAAmB,IAAI,CAAC,CAAE,MAAAE,EAAO,OAAAC,CAAO,IAAM,CACpE,IAAMC,EAAQL,EAAY,KAAK,IAAII,EAAQD,CAAK,EAChD,MAAO,CACL,MAAOA,EAAQE,EACf,OAAQD,EAASC,CACnB,CACF,CAAC,EAEKC,EAAYJ,EAAgB,OAElC,OAAUK,EAAK,IAAM,CACnB,IAAMC,EAA0B,CAACC,EAAeC,IAAqBC,GAAM,CAAIC,GAAK,CAAC,EAAE,EAAGH,EAAO,SAAS,EAAMG,GAAK,CAAC,EAAE,EAAGF,EAAO,SAAS,CAAC,EAAG,CAAC,EAAE,KAAK,EAAG,GAAG,EAAE,KAAK,EAG9JG,EAAa,CAACC,EAAkBC,IAAoD,CACxF,GAAM,CAAE,MAAAZ,EAAO,OAAAC,CAAO,EAAIF,EAAgBY,GAC1C,OAAOC,EAAKZ,EAAOC,CAAM,EAAI,KAAK,IAAID,EAAQC,CAAM,EAAI,EAAI,CAC9D,EAEMY,EAAeF,GAAqBD,EAAWC,EAAU,CAACG,EAAG,IAAMA,EAAI,CAAC,EACxEC,EAAeJ,GAAqBD,EAAWC,EAAU,CAACG,EAAG,IAAM,EAAIA,CAAC,EAa9E,OAXwBlB,EACrB,IAAOa,GAAK,CAACN,EAAW,GAAG,EAAGN,EAAW,SAAS,CAAC,EACnD,IAAOW,GAAM,MAAM,KAAK,MAAML,CAAS,EAAG,CAACa,EAAGL,IAAaN,EAC1DQ,EAAYF,CAAQ,EACpBI,EAAYJ,CAAQ,CACtB,CAAC,CAAC,CAAC,EACF,IAAOH,GAAM,MAAM,KAAK,MAAML,CAAS,EAAG,CAACa,EAAGL,IAAaN,EAC1DN,EAAgBY,GAAU,MAC1BZ,EAAgBY,GAAU,MAC5B,CAAC,CAAC,CAAC,CAGP,CAAC,CACH,CAEO,aAAaM,EAA8B,CAChD,OAAUb,EAAK,IAAM,CACnB,IAAMc,EAAM,KAAK,OAAOD,CAAK,EAC7B,OAAO,KAAK,YACVC,EACAD,EAAM,UACNA,EAAM,gBAAgB,IAAI,CAAC,CAAChB,EAAQD,CAAK,KAAO,CAAE,OAAAC,EAAQ,MAAAD,CAAM,EAAE,CACpE,CACF,CAAC,CACH,CAEA,MAAa,QAAQiB,EAAwC,CAC3D,OAAO,KAAK,aAAa,MAAME,GAAWF,CAAK,CAAC,CAClD,CAEA,MAAa,gBAAgBA,EAAgE,CAC3F,IAAMG,EAAW,MAAMD,GAAWF,CAAK,EACjCI,EAAqBjB,EACzB,IAASkB,GAAQ,KAAK,aAAaF,CAAQ,CAAC,CAC9C,EAEMG,EAAoB,MAAM,QAAQ,IAAIF,EAAgB,IAC1D,MAAOG,EAAgBb,IAAa,CAClC,IAAMc,EAAiB,MAAM,KAAKD,EAAe,SAAS,CAAC,EACrDE,EAAUD,EAAe,OAAO,CAACT,EAAGW,IAAMC,GAAOD,CAAC,CAAC,EACnDE,EAAUJ,EAAe,OAAO,CAACT,EAAGW,IAAM,CAACC,GAAOD,CAAC,CAAC,EAE1D,OAAO,IAAIG,GACT,MAAM,EAAE,EAAE,KAAK,CAAC,EAAE,IAAI,CAACd,EAAGW,IAAM,IAAII,GAAML,EAAQC,GAAcE,EAAQF,EAAY,CAAC,EACrF,CACE,OAAQP,EAAS,eAAeT,CAAQ,EACxC,MAAOS,EAAS,cAAcT,CAAQ,CACxC,CACF,CACF,CACF,CAAC,EAED,OAAAU,EAAgB,QAASW,GAAMA,EAAE,QAAQ,CAAC,EAEnCZ,EAAS,aAAeG,EAAyCA,EAAkB,EAC5F,CAEU,0BAAmC,CAC3C,MAAO,IACT,CACF,EC5FO,IAAMU,GAAN,cAAgCC,EAAkD,CACvF,YAAYC,EAA6C,IAAIC,GAAwB,CACnF,MAAM,oBAAqBD,CAAoB,CACjD,CAEU,qBAA8B,CACtC,MAAO,wBACT,CAEU,yBAAkC,CAC1C,MAAO,IACT,CACF,ECVO,SAASE,GACdC,EAC2E,CAC3E,IAAMC,EAAgC,CAAC,EAEjC,CACJ,yBAAAC,CACF,EAAIC,GAAkBH,EAAWC,CAAa,EAExCG,EAAS,CACb,OAAQF,EAAyB,SAAU,EAAI,EAC/C,OAAQA,EAAyB,QAAQ,EACzC,OAAQA,EAAyB,QAAQ,CAC3C,EAEA,OAAAG,GAA2BL,EAAWC,CAAa,EAE5C,CAAE,OAAAG,EAAQ,cAAAH,CAAc,CACjC,CCpBO,SAASK,GAAkBC,EAAkG,CAClI,IAAMC,EAAgC,CAAC,EAEjC,CACJ,eAAAC,EACA,oBAAAC,CACF,EAAIC,GAAsBJ,CAAO,EAE3B,CACJ,yBAAAK,CACF,EAAIC,GAAkBJ,EAAgBD,CAAa,EAE7CM,EAASF,EAAyB,EAAG,GAAI,SAAU,EAAI,EACvDG,EAASH,EAAyB,GAAI,GAAI,QAAQ,EAClDI,EAASJ,EAAyB,GAAI,IAAK,QAAQ,EAEzD,GAAIF,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAGlF,MAAO,CACL,cAAAF,EACA,OAAQ,CAAE,OAAAM,EAAQ,OAAAC,EAAQ,OAAAC,CAAO,CACnC,CACF,CClBO,IAAMC,GAAN,cAAuCC,EAA+G,CAC3J,aAAc,CACZ,MAAM,0BAA0B,CAClC,CAEO,aAAaC,EAA8B,CAChD,GAAM,CAAE,OAAAC,CAAO,EAAI,KAEnB,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,wDAAwD,EAG1E,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAiBC,GAAKJ,EAAM,cAAc,IAAK,EAAI,EAAG,SAAS,EAE/DK,EAAaC,GAAUH,EADb,CAAC,QAAS,QAAS,OAAO,CACO,EAAE,IAAI,GAAG,EAEtDI,EAAMC,GAAYH,EAAYJ,EAAO,OAAQ,EAAI,EACrD,OAAAM,EAAMC,GAAYD,EAAKN,EAAO,MAAM,EACpCM,EAAMC,GAAYD,EAAKN,EAAO,MAAM,EACpCM,EAASE,GAAQF,EAAK,CAAC,GAAI,EAAE,EAAG,CAAC,EAAG,CAAC,EAAG,OAAO,EAExCA,CACT,CAAC,CACH,CAEA,MAAa,QAAQP,EAAwC,CAC3D,OAAO,KAAK,aAAa,MAAMU,GAAWV,CAAK,CAAC,CAClD,CAEU,qBAA8B,CACtC,MAAO,mCACT,CAEU,2BAA2BW,EAA8B,CACjE,OAAOC,GAA+BD,CAAS,CACjD,CAEU,cAAcE,EAAuB,CAC7C,OAAOC,GAAkBD,CAAO,CAClC,CACF,EC/CO,IAAME,GAAN,cAAoCC,EAAsD,CAC/F,YAAYC,EAAiD,IAAIC,GAA4B,CAC3F,MAAM,wBAAyBD,CAAoB,CACrD,CAEU,qBAA8B,CACtC,MAAO,6BACT,CAEU,yBAAkC,CAC1C,MAAO,IACT,CACF,ECZO,IAAME,GAAN,cAA8BC,EAAkB,CAAC,ECAjD,SAASC,GAAMC,EAAgBC,EAAuC,CAC3E,OAAUC,EAAOC,EAAIH,EAAGC,EAAO,OAAO,EAAGA,EAAO,MAAM,CACxD,CCDA,SAASG,GACPC,EACAC,EACAC,EACAC,EACAC,EAA4B,OACf,CACb,GAAM,CAAE,QAAAC,EAAS,KAAAC,CAAK,EAAIL,EAAO,KAE7BM,EAASC,GAAOR,EAAGK,EAASH,EAASE,CAAO,EAChD,OAAAG,EAASE,EAAIF,EAAKD,CAAI,EACtBC,EAAMG,GAAMH,EAAKN,EAAO,KAAK,EACtBE,EAAcQ,GAAKJ,CAAG,EAAIA,CACnC,CAEO,SAASK,GAAKZ,EAAgBC,EAAyB,CAC5D,OAAOF,GAAUC,EAAGC,EAAQ,CAAC,EAAG,CAAC,EAAG,EAAI,CAC1C,CAEO,SAASY,GAAWb,EAAgBC,EAAyB,CAClE,OAAOF,GAAUC,EAAGC,EAAQ,CAAC,EAAG,CAAC,EAAG,EAAK,CAC3C,CAEO,SAASa,GAASd,EAAgBC,EAAyB,CAChE,OAAOF,GAAUC,EAAGC,EAAQ,CAAC,EAAG,CAAC,EAAG,GAAM,OAAO,CACnD,CCxBA,SAASc,IAAkBC,EAAwCC,EAA+B,CAChG,SAASC,EAAoBC,EAAyBC,EAAoBC,EAAiC,CACzG,IAAMC,EAAUN,EAAeG,CAAe,EACxCI,EAAQD,EAAQ,QAAUF,EAAaC,EAAaA,GAE1D,GAAIG,GAAQD,CAAK,EACf,MAAM,IAAI,MAAM,+BAA+BA,sBAA0BD,EAAQ,uBAAuBF,kBAA2BC,GAAY,EAGjJ,OAAUI,EACR,IAASC,GACJC,GAASL,EAAS,CAACF,EAAYG,EAAOF,EAAYA,CAAU,CAAC,EAChE,CAAC,EAAG,EAAG,EAAG,CAAC,CACb,CACF,CACF,CAEA,SAASO,EACPT,EACAC,EACAC,EACAQ,EACY,CACZ,IAAMC,EAAUZ,EAAoBC,EAAiBC,EAAYC,CAAU,EACrEU,EAAUC,GAAShB,EAAeI,CAAU,CAAC,EAEnD,OAAAH,EAAc,KACZ,CAAE,UAAW,GAAGY,WAAuB,EACvC,CAAE,UAAW,GAAGA,QAAoB,CACtC,EAEO,CAAE,QAAAC,EAAS,KAAAC,CAAK,CACzB,CAEA,SAASE,EAAwBC,EAAoBL,EAAwC,CAC3F,IAAMP,EAAaU,GAAShB,EAAekB,CAAU,CAAC,EAChDC,EAAYH,GAAShB,EAAekB,CAAU,CAAC,EAErD,OAAAjB,EAAc,KACZ,CAAE,UAAW,GAAGY,WAAuB,EACvC,CAAE,UAAW,GAAGA,UAAsB,CACxC,EAEO,CACL,QAAAP,EACA,OAAAa,CACF,CACF,CAEA,SAASC,EACPjB,EACAC,EACAC,EACAQ,EACiB,CACjB,IAAMQ,EAAOT,EAAkBT,EAAiBC,EAAYC,EAAY,GAAGQ,QAAmB,EACxFS,EAAQL,EAAwBb,EAAY,GAAGS,SAAoB,EAEzE,MAAO,CAAE,KAAAQ,EAAM,MAAAC,CAAM,CACvB,CAEA,SAASC,EACPpB,EACAC,EACAC,EACAQ,EACAW,EAAS,GACY,CACrB,IAAMC,EAAQL,GAAwBI,EAAS,GAAM,GAAKrB,EAAiBC,EAAYC,EAAY,GAAGQ,SAAoB,EACpHa,EAAQN,EAAuBjB,EAAiBC,EAAYC,EAAY,GAAGQ,SAAoB,EAErG,MAAO,CAAE,MAAAY,EAAO,MAAAC,CAAM,CACxB,CAEA,MAAO,CACL,uBAAAN,EACA,2BAAAG,CACF,CACF,CAEO,SAASI,GAAcrB,EAA6E,CACzG,GAAM,CACJ,eAAAN,EACA,oBAAA4B,CACF,EAAIC,GAAsBvB,CAAO,EAE3BL,EAAgC,CAAC,EAEjC,CACJ,uBAAAmB,EACA,2BAAAG,CACF,EAAIxB,IAAkBC,EAAgBC,CAAa,EAE7C6B,EAAcV,EAAuB,KAAM,GAAI,EAAG,aAAa,EAC/DW,EAAWR,EAA2B,KAAM,GAAI,EAAG,UAAU,EAC7DS,EAAWT,EAA2B,KAAM,GAAI,EAAG,UAAU,EAC7DU,EAAWV,EAA2B,KAAM,GAAI,EAAG,UAAU,EAE7DW,EAAcX,EAA2B,MAAO,GAAI,EAAG,cAAe,EAAI,EAC1EY,EAAWZ,EAA2B,MAAO,GAAI,EAAG,UAAU,EAC9Da,EAAWb,EAA2B,MAAO,GAAI,EAAG,UAAU,EAC9Dc,EAAWd,EAA2B,MAAO,GAAI,EAAG,UAAU,EAE9De,EAAef,EAA2B,OAAQ,IAAK,EAAG,eAAgB,EAAI,EAC9EgB,EAAYhB,EAA2B,OAAQ,IAAK,EAAG,WAAW,EAClEiB,EAAYjB,EAA2B,OAAQ,IAAK,EAAG,WAAW,EAElEkB,EAAelB,EAA2B,OAAQ,IAAK,EAAG,eAAgB,EAAI,EAC9EmB,EAAYnB,EAA2B,OAAQ,IAAK,EAAG,WAAW,EAClEoB,EAAYpB,EAA2B,OAAQ,IAAK,EAAG,WAAW,EAClEqB,EAAmBrB,EAA2B,OAAQ,IAAK,EAAG,kBAAkB,EAEhFsB,EAAQpC,EACZ,IAASC,GAAaoC,GAAS9C,EAAe,IAAM,GAAG,EAAG,CAAC,IAAK,GAAG,CAAC,EAAG,CAAC,EAAG,CAAC,CAAC,CAC/E,EAGA,GAFAC,EAAc,KAAK,CAAE,UAAW,IAAK,CAAC,EAElC2B,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAsBlF,MAAO,CAAE,OAnBM,CACb,YAAAE,EACA,SAAAC,EACA,SAAAC,EACA,SAAAC,EACA,YAAAC,EACA,SAAAC,EACA,SAAAC,EACA,SAAAC,EACA,aAAAC,EACA,UAAAC,EACA,UAAAC,EACA,aAAAC,EACA,UAAAC,EACA,UAAAC,EACA,iBAAAC,EACA,GAAAC,CACF,EAEiB,cAAA5C,CAAc,CACjC,CC7IA,SAAS8C,IAAkBC,EAAgBC,EAA+B,CACxE,IAAMC,EAAqBC,GAA0BH,EAAWC,CAAa,EAE7E,SAASG,EAAwBC,EAAkC,CACjE,IAAMC,EAAUJ,EAAmB,GAAGG,kBAAwB,CAAC,EACzDE,EAASL,EAAmB,GAAGG,iBAAuB,CAAC,EAE7D,MAAO,CAAE,QAAAC,EAAS,OAAAC,CAAO,CAC3B,CAEA,SAASC,EAAuBH,EAAiC,CAC/D,IAAMI,EAAUP,EAAmB,GAAGG,iBAAuB,CAAC,EACxDK,EAAOR,EAAmB,GAAGG,cAAoB,CAAC,EAClDM,EAAQP,EAAwBC,CAAM,EAE5C,MAAO,CAAE,KAAM,CAAE,QAAAI,EAAS,KAAAC,CAAK,EAAG,MAAAC,CAAM,CAC1C,CAEA,SAASC,EAA2BP,EAAqC,CACvE,MAAO,CACL,MAAOG,EAAuB,GAAGH,SAAc,EAC/C,MAAOG,EAAuB,GAAGH,SAAc,CACjD,CACF,CAEA,MAAO,CACL,uBAAAG,EACA,2BAAAI,CACF,CACF,CAEO,SAASC,GACdb,EACsD,CACtD,IAAMC,EAAgC,CAAC,EAEjC,CACJ,uBAAAO,EACA,2BAAAI,CACF,EAAIb,IAAkBC,EAAWC,CAAa,EAExCa,EAAcN,EAAuB,aAAa,EAClDO,EAAWH,EAA2B,UAAU,EAChDI,EAAWJ,EAA2B,UAAU,EAChDK,EAAWL,EAA2B,UAAU,EAEhDM,EAAcN,EAA2B,aAAa,EACtDO,EAAWP,EAA2B,UAAU,EAChDQ,EAAWR,EAA2B,UAAU,EAChDS,EAAWT,EAA2B,UAAU,EAEhDU,EAAeV,EAA2B,cAAc,EACxDW,EAAYX,EAA2B,WAAW,EAClDY,EAAYZ,EAA2B,WAAW,EAElDa,EAAeb,EAA2B,cAAc,EACxDc,EAAYd,EAA2B,WAAW,EAClDe,EAAYf,EAA2B,WAAW,EAClDgB,EAAmBhB,EAA2B,kBAAkB,EAEhE,CAAE,GAAAiB,CAAG,EAAI7B,EAGf,GAFAC,EAAc,KAAK,CAAE,aAAc,KAAM,UAAW,IAAK,CAAC,EAEtD,CAAC6B,GAAWD,CAAE,EAChB,MAAM,IAAI,MAAM,yDAAyDA,GAAI,EAG/E,IAAME,EAAS,CACb,YAAAjB,EACA,SAAAC,EACA,SAAAC,EACA,SAAAC,EACA,YAAAC,EACA,SAAAC,EACA,SAAAC,EACA,SAAAC,EACA,aAAAC,EACA,UAAAC,EACA,UAAAC,EACA,aAAAC,EACA,UAAAC,EACA,UAAAC,EACA,iBAAAC,EACA,GAAAC,CACF,EAEA,OAAAG,GAA2BhC,EAAWC,CAAa,EAE5C,CAAE,OAAA8B,EAAQ,cAAA9B,CAAc,CACjC,CC1FO,SAASgC,GAASC,EAAgBC,EAA0C,CACjF,IAAIC,EAAMC,GAAKH,EAAGC,EAAO,KAAK,EAC9B,OAAAC,EAAME,GAAWF,EAAKD,EAAO,KAAK,EAClCC,EAASG,EAAIH,EAAKF,CAAC,EACnBE,EAASI,GAAKJ,CAAG,EACVA,CACT,CAEO,SAASK,GAAaP,EAAgBC,EAA0C,CACrF,IAAIC,EAAMM,GAASR,EAAGC,EAAO,KAAK,EAClCC,EAAME,GAAWF,EAAKD,EAAO,KAAK,EAElC,IAAIQ,EAAYC,GAAQV,EAAG,EAAG,EAAG,OAAO,EAClCW,EAAWC,GAAkBH,EAAO,KAAK,EACzCI,EAAQJ,EAAO,MAAM,KAAOP,EAAI,MAAM,GAG5C,GAFsBO,EAAO,MAAM,KAAOP,EAAI,MAAM,IAAMO,EAAO,MAAM,KAAOP,EAAI,MAAM,GAErE,CACjB,IAAMY,EAAY,CAAC,GAAGZ,EAAI,KAAK,EAC/BY,EAAU,GAAK,EACf,IAAMC,EAAYH,GAAkBE,CAAS,EAC7CZ,EAASc,GAAO,CAACd,EAAKa,CAAM,EAAG,CAAC,EAEhC,IAAME,EAAY,CAAC,GAAGf,EAAI,KAAK,EAC/Be,EAAU,GAAK,EACf,IAAMC,EAAYN,GAAkBK,CAAS,EAC7Cf,EAASc,GAAO,CAACd,EAAKgB,CAAM,EAAG,CAAC,CAClC,CAEA,OAAAT,EAASI,EAAWG,GAAO,CAACP,EAAQE,CAAK,EAAG,CAAC,EAAIF,EACjDP,EAASG,EAAII,EAAQP,CAAG,EAExBA,EAASI,GAAKJ,CAAG,EACVA,CACT,CC5BO,IAAMiB,GAAN,cAAiCC,EAAyB,CAC/D,aAAc,CACZ,MAAM,oBAAoB,CAC5B,CAEO,aAAaC,EAA8B,CAChD,GAAM,CAAE,OAAAC,CAAO,EAAI,KAEnB,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,kDAAkD,EAGpE,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAiBC,GAAKJ,EAAM,cAAc,IAAK,EAAI,EAAG,SAAS,EAG/DK,EAAaC,GAAUH,EADb,CAAC,QAAS,QAAS,OAAO,CACO,EAAE,IAAI,GAAG,EAEtDI,EAAMC,GAASH,EAAYJ,EAAO,WAAW,EACjDM,EAASE,GAAQF,EAAK,EAAG,EAAG,OAAO,EAEnCA,EAAMG,GAASH,EAAKN,EAAO,QAAQ,EACnCM,EAAMG,GAASH,EAAKN,EAAO,QAAQ,EACnCM,EAAMG,GAASH,EAAKN,EAAO,QAAQ,EAEnCM,EAAMI,GAAaJ,EAAKN,EAAO,WAAW,EAC1CM,EAAMG,GAASH,EAAKN,EAAO,QAAQ,EACnCM,EAAMG,GAASH,EAAKN,EAAO,QAAQ,EACnCM,EAAMG,GAASH,EAAKN,EAAO,QAAQ,EAEnCM,EAAMI,GAAaJ,EAAKN,EAAO,YAAY,EAC3CM,EAAMG,GAASH,EAAKN,EAAO,SAAS,EACpCM,EAAMG,GAASH,EAAKN,EAAO,SAAS,EAEpCM,EAAMI,GAAaJ,EAAKN,EAAO,YAAY,EAC3CM,EAAMG,GAASH,EAAKN,EAAO,SAAS,EACpCM,EAAMG,GAASH,EAAKN,EAAO,SAAS,EACpCM,EAAMI,GAAaJ,EAAKN,EAAO,gBAAgB,EAE/C,IAAMW,EAAYL,EAAI,KAAK,CAAC,EAAG,CAAC,CAAC,EAGjC,OAF0BM,GAAOD,EAAWX,EAAO,EAAE,CAGvD,CAAC,CACH,CAEA,MAAa,QAAQD,EAAwC,CAC3D,OAAO,KAAK,aAAa,MAAMc,GAAWd,CAAK,CAAC,CAClD,CAEA,MAAa,sBAAsBA,EAAwD,CA7D7F,IAAAe,EA+DI,IAAIA,EAAAf,GAAA,YAAAA,EAAO,QAAP,MAAAe,EAAc,KAAMC,GAAQA,GAAO,GAAI,OAAO,IAAI,aAAa,GAAG,EACtE,IAAMC,EAAW,MAAMH,GAAWd,CAAK,EACjCkB,EAA2BhB,EAAK,IAASiB,GAAQ,KAAK,aAAaF,CAAQ,CAAC,CAAC,EAC7EG,EAA0B,MAAM,QAAQ,IAAIF,EAAsB,IAAKG,GAAMA,EAAE,KAAK,CAAC,CAAC,EAC5F,OAAAH,EAAsB,QAASG,GAAMA,EAAE,QAAQ,CAAC,EACzCJ,EAAS,aAAeG,EAA0BA,EAAwB,EACnF,CAEU,qBAA8B,CACtC,MAAO,wBACT,CAEU,2BAA2BE,EAA8B,CACjE,OAAOC,GAA2BD,CAAS,CAC7C,CAEU,cAAcE,EAAuB,CAC7C,OAAOC,GAAcD,CAAO,CAC9B,CACF,EC9EO,SAASE,IAAyBC,EAAuB,CAC9D,IAAMC,EAAM,IAAIC,GAChB,OAAAD,EAAI,eAAeD,CAAO,EACnBC,CACT,CCJO,SAASE,GAGdC,EACAC,EAC6B,CAE7B,MAAO,CAAE,GAAGD,EAAW,GADL,CAAE,WAAAC,CAAW,CACK,CACtC,CCRO,SAASC,IAAUC,EAA8B,CACtD,OAAO,OAAOA,EAAI,KAAQ,QAC5B,CAEO,SAASC,GAGdC,EACAC,EACkB,CAElB,MAAO,CAAE,GAAGD,EAAW,GADL,CAAE,IAAAC,CAAI,CACY,CACtC,CCRO,SAASC,IAAaC,EAAiC,CAC5D,OAAQA,EAAI,iBAA0BA,EAAI,oBACrCC,GAAmBD,EAAI,iBAAiB,CAC/C,CAEO,SAASE,GAGdC,EACAC,EACAC,EACqB,CAErB,MAAO,CAAE,GAAGF,EAAW,GADL,CAAE,OAAAC,EAAQ,kBAAAC,CAAkB,CACV,CACtC,CCjBA,SAASC,IAAkBC,EAAwCC,EAA+B,CAChG,SAASC,EAA2BC,EAAqBC,EAAuD,CAC9G,IAAMC,EAAaC,GAASN,EAAe,EAAQG,CAAW,EAAG,CAAC,EAAG,EAAGA,EAAa,CAAC,CAAC,EACjFI,EAAsBC,GAASR,EAAeG,CAAW,CAAC,EAC1DM,EAAuBD,GAASR,EAAeG,CAAW,CAAC,EAC3DO,EAAqBF,GAASR,EAAeG,CAAW,CAAC,EACzDQ,EAAyBH,GAASR,EAAeG,CAAW,CAAC,EAEnE,OAAAF,EAAc,KACZ,CAAE,UAAW,GAAGG,WAAuB,EACvC,CAAE,UAAW,GAAGA,oBAAgC,EAChD,CAAE,UAAW,GAAGA,qBAAiC,EACjD,CAAE,UAAW,GAAGA,mBAA+B,EAC/C,CAAE,UAAW,GAAGA,uBAAmC,CACrD,EAEO,CACL,QAAAC,EACA,iBAAAE,EACA,kBAAAE,EACA,gBAAAC,EACA,oBAAAC,CACF,CACF,CAEA,SAASC,EACPC,EACAC,EACAC,EACAX,EACAY,EACY,CACZ,IAAMX,EAAaC,GACjBN,EAAea,EAAaC,EAAcC,EAAaA,CAAU,EACjE,CAACA,EAAYA,EAAYF,EAAYC,CAAW,CAClD,EACMG,EAAUT,GAASR,EAAec,CAAW,CAAC,EAEpD,OAAAb,EAAc,KACZ,CAAE,UAAW,GAAGG,WAAuB,EACvC,CAAE,UAAW,GAAGA,KAAgBY,EAAkB,oBAAsB,QAAS,CACnF,EAEO,CAAE,QAAAX,EAAS,KAAAY,CAAK,CACzB,CAEA,SAASC,EACPL,EACAC,EACAC,EACAX,EACqB,CACrB,GAAM,CACJ,QAAAC,EACA,KAAAY,CACF,EAAIL,EAAkBC,EAAYC,EAAaC,EAAYX,EAAc,EAAI,EAE7E,MAAO,CACL,QAAAC,EACA,kBAAmBY,CACrB,CACF,CAEA,SAASE,EACPN,EACAC,EACAV,EAC4B,CAC5B,IAAMgB,EAAiBlB,EAA2BW,EAAY,GAAGT,kBAA6B,EACxFiB,EAAiBH,EAA2BL,EAAYC,EAAa,EAAG,GAAGV,kBAA6B,EAE9G,MAAO,CAAE,eAAAgB,EAAgB,eAAAC,CAAe,CAC1C,CAEA,SAASC,GAA+C,CACtD,IAAMC,EAASL,EAA2B,EAAG,GAAI,EAAG,oBAAoB,EAClEM,EAASL,EAAsB,GAAI,GAAI,oBAAoB,EAC3DM,EAASN,EAAsB,GAAI,IAAK,oBAAoB,EAC5DO,EAASP,EAAsB,IAAK,IAAK,oBAAoB,EAC7DQ,EAASR,EAAsB,IAAK,IAAK,oBAAoB,EAC7DS,EAAST,EAAsB,IAAK,IAAK,oBAAoB,EAC7DU,EAASV,EAAsB,IAAK,IAAK,oBAAoB,EAC7DW,EAASX,EAAsB,IAAK,IAAK,oBAAoB,EAC7DY,EAASZ,EAAsB,IAAK,IAAK,oBAAoB,EAC7Da,EAASb,EAAsB,IAAK,IAAK,oBAAoB,EAC7Dc,EAAUd,EAAsB,IAAK,IAAK,qBAAqB,EAC/De,EAAUf,EAAsB,IAAK,IAAK,qBAAqB,EAC/DgB,EAAUhB,EAAsB,IAAK,KAAM,qBAAqB,EAChEiB,EAAUjB,EAAsB,KAAM,KAAM,qBAAqB,EACvE,MAAO,CACL,OAAAI,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,QAAAC,EACA,QAAAC,EACA,QAAAC,EACA,QAAAC,CACF,CACF,CAEA,SAASC,GAAsD,CAC7D,IAAMd,EAASL,EAA2B,KAAM,IAAK,EAAG,yBAAyB,EAC3EM,EAASN,EAA2B,IAAK,IAAK,EAAG,yBAAyB,EAC1EO,EAASP,EAA2B,IAAK,IAAK,EAAG,yBAAyB,EAC1EQ,EAASR,EAA2B,IAAK,IAAK,EAAG,yBAAyB,EAC1ES,EAAST,EAA2B,IAAK,IAAK,EAAG,yBAAyB,EAC1EU,EAASV,EAA2B,IAAK,IAAK,EAAG,yBAAyB,EAC1EW,EAASX,EAA2B,IAAK,GAAI,EAAG,yBAAyB,EACzEY,EAASZ,EAA2B,GAAI,IAAK,EAAG,yBAAyB,EACzEoB,EAA2B1B,EAAkB,IAAK,GAAI,EAAG,yDAAyD,EAClH2B,EAAoB3B,EAAkB,IAAK,EAAG,EAAG,kDAAkD,EACnG4B,EAA2B5B,EAAkB,KAAM,GAAI,EAAG,yDAAyD,EACnH6B,EAAoB7B,EAAkB,KAAM,GAAI,EAAG,kDAAkD,EACrG8B,EAA2B9B,EAAkB,IAAK,GAAI,EAAG,yDAAyD,EAClH+B,EAAoB/B,EAAkB,IAAK,GAAI,EAAG,kDAAkD,EACpGgC,EAA2BhC,EAAkB,IAAK,GAAI,EAAG,yDAAyD,EAClHiC,EAAoBjC,EAAkB,IAAK,GAAI,EAAG,kDAAkD,EACpGkC,EAA2BlC,EAAkB,IAAK,GAAI,EAAG,yDAAyD,EAClHmC,EAAoBnC,EAAkB,IAAK,GAAI,EAAG,kDAAkD,EACpGoC,EAA2BpC,EAAkB,IAAK,GAAI,EAAG,yDAAyD,EAClHqC,EAAoBrC,EAAkB,IAAK,GAAI,EAAG,kDAAkD,EA0B1G,MAAO,CACL,OAAAW,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,gBAjCsB,CACtB,uBAAwBQ,EACxB,gBAAiBC,CACnB,EA+BE,gBA9BsB,CACtB,uBAAwBC,EACxB,gBAAiBC,CACnB,EA4BE,gBA3BsB,CACtB,uBAAwBC,EACxB,gBAAiBC,CACnB,EAyBE,gBAxBsB,CACtB,uBAAwBC,EACxB,gBAAiBC,CACnB,EAsBE,gBArBsB,CACtB,uBAAwBC,EACxB,gBAAiBC,CACnB,EAmBE,gBAlBsB,CACtB,uBAAwBC,EACxB,gBAAiBC,CACnB,CAgBA,CACF,CAEA,MAAO,CACL,yBAAA3B,EACA,6BAAAe,CACF,CACF,CAEO,SAASa,GAAcC,EAA6E,CACzG,IAAMlD,EAAgC,CAAC,EACjC,CACJ,eAAAD,EACA,oBAAAoD,CACF,EAAIC,GAAsBF,CAAO,EAC3B,CACJ,yBAAA7B,EACA,6BAAAe,CACF,EAAItC,IAAkBC,EAAgBC,CAAa,EAC7CqD,EAAchC,EAAyB,EACvCiC,EAAmBlB,EAA6B,EAKhDmB,EAAe,CACnB,UALmBC,GACnBzD,EAAe,KAAO,CAAC,EACvB,CAAC,EAAG,KAAM,CAAC,CACb,CAGA,EAEA,GADAC,EAAc,KAAK,CAAE,UAAW,wBAAyB,CAAC,EACtDmD,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAGlF,MAAO,CACL,OAAQ,CACN,YAAAE,EACA,iBAAAC,EACA,aAAAC,CACF,EACA,cAAAvD,CACF,CACF,CChNA,SAASyD,IAAkBC,EAAgBC,EAA+B,CACxE,IAAMC,EAAqBC,GAA0BH,EAAWC,CAAa,EAE7E,SAASG,EAA2BC,EAAgBC,EAAaC,EAA2C,CAC1G,IAAMC,EAAUN,EAAmB,GAAGG,YAAiBC,sBAAyB,EAAG,GAAGC,WAAsB,EACtGE,EAAoBP,EAAmB,GAAGG,YAAiBC,oCAAuC,EAAG,GAAGC,qBAAgC,EAC9I,MAAO,CAAE,QAAAC,EAAS,kBAAAC,CAAkB,CACtC,CAEA,SAASC,EAAsBJ,EAAyC,CACtE,IAAMC,EAAe,oBAAoBD,IACnCK,EAAsB,sBAAsBL,cAC5CM,EAA4B,GAAGL,mBAC/BM,EAA4B,GAAGN,mBAE/BC,EAAUN,EAAmB,GAAGS,sBAAyC,EAAG,GAAGC,WAAmC,EAClHE,EAAmBZ,EAAmB,GAAGS,oBAAuC,EAAG,GAAGC,oBAA4C,EAClIH,EAAoBP,EAAmB,GAAGS,mBAAsC,EAAG,GAAGC,qBAA6C,EACnIG,EAAkBb,EAAmB,GAAGS,0BAA6C,EAAG,GAAGC,mBAA2C,EACtII,EAAsBd,EAAmB,GAAGS,8BAAiD,EAAG,GAAGC,uBAA+C,EAExJ,MAAO,CACL,eAAgB,CACd,QAAAJ,EACA,iBAAAM,EACA,kBAAAL,EACA,gBAAAM,EACA,oBAAAC,CACF,EACA,eAAgBZ,EAA2B,cAAeE,EAAKO,CAAyB,CAC1F,CACF,CAEA,SAASI,GAA+C,CACtD,MAAO,CACL,OAAQb,EAA2B,cAAe,EAAG,oBAAoB,EACzE,OAAQM,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,QAASA,EAAsB,EAAE,EACjC,QAASA,EAAsB,EAAE,EACjC,QAASA,EAAsB,EAAE,EACjC,QAASA,EAAsB,EAAE,CACnC,CACF,CAEA,SAASQ,EAAkBb,EAAgBE,EAAkC,CAC3E,IAAMC,EAAUN,EAAmB,GAAGG,YAAkB,EAAG,GAAGE,WAAsB,EAC9EY,EAAOjB,EAAmB,GAAGG,WAAiB,EAAG,GAAGE,QAAmB,EAC7E,MAAO,CAAE,QAAAC,EAAS,KAAAW,CAAK,CACzB,CAEA,SAASC,EAA0Bd,EAAkC,CACnE,IAAMe,EAAyBH,EAC7B,2BAA2BZ,yBAC3B,kCAAkCA,0BACpC,EACMgB,EAAkBJ,EACtB,2BAA2BZ,mBAC3B,kCAAkCA,mBACpC,EACA,MAAO,CAAE,uBAAAe,EAAwB,gBAAAC,CAAgB,CACnD,CAEA,SAASC,GAAsD,CAC7D,MAAO,CACL,OAAQnB,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,OAAQA,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,OAAQA,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,OAAQA,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,OAAQA,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,OAAQA,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,OAAQA,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,OAAQA,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,gBAAiBgB,EAA0B,CAAC,EAC5C,gBAAiBA,EAA0B,CAAC,EAC5C,gBAAiBA,EAA0B,CAAC,EAC5C,gBAAiBA,EAA0B,CAAC,EAC5C,gBAAiBA,EAA0B,CAAC,EAC5C,gBAAiBA,EAA0B,CAAC,CAC9C,CACF,CAEA,MAAO,CACL,yBAAAH,EACA,6BAAAM,CACF,CACF,CAEO,SAASC,GACdxB,EACsD,CACtD,IAAMC,EAAgC,CAAC,EACjC,CACJ,yBAAAgB,EACA,6BAAAM,CACF,EAAIxB,IAAkBC,EAAWC,CAAa,EACxCwB,EAAYzB,EAAU,oBAE5B,GADAC,EAAc,KAAK,CAAE,aAAc,mBAAoB,UAAW,wBAAyB,CAAC,EACxF,CAACyB,GAAWD,CAAS,EACvB,MAAM,IAAI,MAAM,yEAAyEA,GAAW,EAGtG,IAAME,EAAS,CACb,YAAaV,EAAyB,EACtC,iBAAkBM,EAA6B,EAC/C,aAAc,CACZ,UAAAE,CACF,CACF,EAEA,OAAAG,GAA2B5B,EAAWC,CAAa,EAC5C,CAAE,OAAA0B,EAAQ,cAAA1B,CAAc,CACjC,CCzHO,SAAS4B,GAAmBC,EAAgBC,EAA6BC,EAA2B,CACzG,OAAUC,EAAK,IAAM,CACnB,IAAIC,EAASC,GAAOL,EAAGC,EAAO,QAASC,EAAS,MAAM,EACtD,OAAAE,EAASE,EAAIF,EAAKH,EAAO,iBAAiB,EAChCM,GAAYH,EAAK,EAAG,CAAC,CACjC,CAAC,CACH,CCLA,IAAMI,IAAU,qBAEhB,SAASC,IAAmBC,EAAgBC,EAAyCC,EAA2B,CAC9G,OAAUC,EAAK,IAAM,CACnB,IAAIC,EAASC,GAAgBL,EAAGC,EAAO,QAASC,EAAS,MAAM,EAC/D,OAAAE,EAASE,GACPF,EACAH,EAAO,gBACPA,EAAO,oBACPA,EAAO,kBACPA,EAAO,iBACPH,GACF,EACUS,GAAYH,EAAK,EAAG,CAAC,CACjC,CAAC,CACH,CAEA,SAASI,IAAsBC,EAAoC,CACjE,MAAO,CAAC,EAAG,EAAG,EAAG,EAAE,EAAE,KAAMC,GAAQA,IAAQD,CAAQ,EAAI,CAAC,EAAG,CAAC,EAAI,CAAC,EAAG,CAAC,CACvE,CAEO,SAASE,GAAYX,EAAgBC,EAA4B,CACtE,OAAUE,EAAK,IAAM,CACnB,IAAIS,EACAR,EAAMS,GAAmBb,EAAGC,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EA0BrD,GAxBuB,CACrBA,EAAO,OACPA,EAAO,OACPA,EAAO,OACPA,EAAO,OACPA,EAAO,OACPA,EAAO,OACPA,EAAO,OACPA,EAAO,OACPA,EAAO,OACPA,EAAO,QACPA,EAAO,QACPA,EAAO,QACPA,EAAO,OACT,EAEe,QAAQ,CAACa,EAAO,IAAM,CACnC,IAAML,EAAW,EAAI,EACfM,EAAuBP,IAAsBC,CAAQ,EAC3DL,EAAML,IAAmBK,EAAKU,EAAM,eAAgBC,CAAoB,EACxEX,EAAMS,GAAmBT,EAAKU,EAAM,eAAgB,CAAC,EAAG,CAAC,CAAC,EACtDL,IAAa,KAAIG,EAASR,EAChC,CAAC,EAEGQ,IAAW,KACb,MAAM,IAAI,MAAM,+CAA+C,EAGjE,MAAO,CACL,IAAAR,EACA,OAAQQ,CACV,CACF,CAAC,CACH,CC9DA,SAASI,IAAIC,EAAoBC,EAAWC,EAAW,CACrD,IAAMC,EAAYH,EAAM,UAAU,EAC5BI,EAAQ,KAAK,IAAID,EAAUF,GAAG,GAAIE,EAAUF,GAAG,EAAE,EACjDI,EAAQ,KAAK,IAAIF,EAAUF,GAAG,GAAIE,EAAUF,GAAG,EAAE,EACjDK,EAAQ,KAAK,IAAIH,EAAUF,GAAG,GAAIE,EAAUF,GAAG,EAAE,EACjDM,EAAQ,KAAK,IAAIJ,EAAUF,GAAG,GAAIE,EAAUF,GAAG,EAAE,EACjDO,EAAQ,KAAK,IAAIL,EAAUD,GAAG,GAAIC,EAAUD,GAAG,EAAE,EACjDO,EAAQ,KAAK,IAAIN,EAAUD,GAAG,GAAIC,EAAUD,GAAG,EAAE,EACjDQ,EAAQ,KAAK,IAAIP,EAAUD,GAAG,GAAIC,EAAUD,GAAG,EAAE,EACjDS,EAAQ,KAAK,IAAIR,EAAUD,GAAG,GAAIC,EAAUD,GAAG,EAAE,EACjDU,GAASN,EAAQF,IAAUG,EAAQF,GACnCQ,GAASH,EAAQF,IAAUG,EAAQF,GACzC,GAAIG,GAAS,GAAKC,GAAS,EAAG,MAAO,GACrC,IAAMC,EAAmB,KAAK,IAAIV,EAAOI,CAAK,EACxCO,EAAmB,KAAK,IAAIV,EAAOI,CAAK,EACxCO,EAAmB,KAAK,IAAIV,EAAOI,CAAK,EACxCO,EAAmB,KAAK,IAAIV,EAAOI,CAAK,EACxCO,EAAmB,KAAK,IAAIF,EAAmBF,EAAkB,CAAG,EAAI,KAAK,IAAIG,EAAmBF,EAAkB,CAAG,EAC/H,OAAOG,GAAoBN,EAAQC,EAAQK,EAC7C,CAEO,SAASC,GACdnB,EACAoB,EACAC,EACAC,EACAC,EACU,CACV,IAAMC,EAAWxB,EAAM,MAAM,GACvByB,EAAa,KAAK,IAAIJ,EAAeG,CAAQ,EAE7CE,EAAaN,EAChB,IAAI,CAACO,EAAOC,KAAc,CAAE,MAAAD,EAAO,SAAAC,CAAS,EAAE,EAC9C,OAAQC,GAAMA,EAAE,MAAQN,CAAc,EACtC,KAAK,CAACO,EAAIC,IAAOA,EAAG,MAAQD,EAAG,KAAK,EAEjCE,EAAgBC,GAAeA,GAAKX,EAAe,EAAI,EACvDY,EAAqB,CAAC,EAE5B,OAAAR,EAAW,QAASG,GAAM,CACxB,GAAIK,EAAS,QAAUT,EAAY,OACnC,IAAMU,EAAgBN,EAAE,MACxB,QAAS3B,EAAIgC,EAAS,OAAS,EAAGhC,GAAK,EAAG,EAAEA,EAAG,CAC7C,IAAMkC,EAAMrC,IAAIC,EAAO6B,EAAE,SAAUK,EAAShC,EAAE,EAC9C,GAAIkC,IAAQ,IACZP,EAAE,OAASG,EAAaI,CAAG,EACvBP,EAAE,OAASN,GAAgB,KACjC,CACIY,IAAkBN,EAAE,OACtBK,EAAS,KAAKL,EAAE,QAAQ,CAE5B,CAAC,EACMK,CACT,CCnDA,SAASG,IAAkCC,EAAgB,CACzD,IAAMC,EAASC,GAAWC,GAAUH,EAAG,CAAC,EAAG,CAAC,CAAC,CAAC,EAExCI,EAAQ,CACTC,GAAIJ,EAAI,GAAIA,EAAI,EAAE,EAClBI,GAAIJ,EAAI,GAAIA,EAAI,EAAE,CACvB,EACMK,EAAU,CACXC,EAAIN,EAAI,GAAOO,GAAIJ,EAAM,GAAI,CAAC,CAAC,EAC/BG,EAAIN,EAAI,GAAOO,GAAIJ,EAAM,GAAI,CAAC,CAAC,CACpC,EACA,MAAO,CAAE,MAAAA,EAAO,QAAAE,CAAQ,CAC1B,CAEA,SAASG,IAAiBC,EAAiBC,EAAiB,CAC1D,GAAM,CAAE,MAAAP,EAAO,QAAAE,CAAQ,EAAIP,IAAkCW,CAAE,EAEzDT,EAASC,GAAWC,GAAUQ,EAAI,CAAC,EAAG,CAAC,CAAC,CAAC,EACzCC,EAAcJ,GAAOK,EAAOC,GAAON,GAAIP,EAAI,GAAI,CAAC,CAAC,EAAGG,EAAM,EAAE,EAAG,CAAC,EAChEW,EAAcR,EAAOM,EAAOL,GAAIP,EAAI,GAAI,EAAE,EAAGG,EAAM,EAAE,EAAGE,EAAQ,EAAE,EAClEU,EAAcR,GAAOK,EAAOC,GAAON,GAAIP,EAAI,GAAI,CAAC,CAAC,EAAGG,EAAM,EAAE,EAAG,CAAC,EAChEa,EAAcV,EAAOM,EAAOL,GAAIP,EAAI,GAAI,EAAE,EAAGG,EAAM,EAAE,EAAGE,EAAQ,EAAE,EAExE,OAAUH,GACLe,GAAM,CACJb,GAAIU,EAAUH,CAAQ,EACtBP,GAAIY,EAAUD,CAAQ,EACtBT,EAAIQ,EAAUH,CAAQ,EACtBL,EAAIU,EAAUD,CAAQ,CAC3B,CAAC,EACD,CAAC,EAAG,CAAC,CACP,CACF,CAEO,SAASG,GAAYC,EAA6BC,EAA+BC,EAA2B,CACjH,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAYJ,EAAe,MAAM,GAEnCK,EAAQhB,IACPiB,EAAWC,GAAKL,EAAO,UAAW,CAACE,EAAW,EAAG,CAAC,CAAC,EAAG,CAAC,GAAI,CAAC,CAAC,EAC7DE,EAAQN,EAAgB,CAAC,GAAI,CAAC,CAAC,CACpC,EACAK,EAAWC,EAAQD,EAAO,CAACD,EAAYC,EAAM,MAAM,GAAKD,EAAY,CAAC,CAAC,EAEtE,IAAMI,EAAsBC,GAAWC,GAAMT,EAAkB,CAAC,EAAG,EAAG,CAAC,EAAG,CAAC,GAAI,GAAI,EAAE,CAAC,CAAC,EACnFU,EAAYD,GAAMF,EAAkB,CAAC,EAAG,EAAG,CAAC,EAAG,CAAC,GAAI,GAAI,CAAC,CAAC,EAE9DG,EAAYL,EAAQK,EAAQ,CAACP,EAAWO,EAAO,MAAM,EAAY,CAAC,EAElE,IAAMC,EAAkB9B,GAAQuB,CAAK,EAC/BQ,EAAmB/B,GAAQ6B,CAAM,EAEvC,MAAO,CAAE,MAAOC,EAAc,OAAQC,CAAc,CACtD,CAAC,CACH,CCrDO,SAASC,GACdC,EACAC,EACA,CACA,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAYH,EAAE,MAAM,GACpBI,EAA2BC,EAC/BC,GAAUN,EAAGC,EAAO,sBAAsB,EAC1C,CAACE,EAAW,GAAI,EAAG,CAAC,CACtB,EACMI,EAAqBF,EACzBC,GAAUN,EAAGC,EAAO,eAAe,EACnC,CAACE,EAAW,GAAI,CAAC,CACnB,EACA,MAAO,CAAE,sBAAAC,EAAuB,gBAAAG,CAAgB,CAClD,CAAC,CACH,CCfO,SAASC,GACdC,EACAC,EACAC,EACA,CACA,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAQC,GAAmBL,EAAGE,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EACnDI,EAAQD,GAAmBD,EAAOF,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EACvDK,EAAQF,GAAmBC,EAAOJ,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EACvDM,EAAQH,GAAmBE,EAAOL,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EACvDO,EAAQJ,GAAmBG,EAAON,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EACvDQ,EAAQL,GAAmBI,EAAOP,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EACvDS,EAAQN,GAAmBK,EAAOR,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EACvDU,EAAQP,GAAmBM,EAAOT,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EAEvDW,EAAiBC,GAAmBb,EAAQC,EAAO,eAAe,EAClEa,EAAiBD,GAAmBd,EAAGE,EAAO,eAAe,EAC7Dc,EAAiBF,GAAmBR,EAAOJ,EAAO,eAAe,EACjEe,EAAiBH,GAAmBN,EAAON,EAAO,eAAe,EACjEgB,EAAiBJ,GAAmBJ,EAAOR,EAAO,eAAe,EACjEiB,EAAiBL,GAAmBF,EAAOV,EAAO,eAAe,EAEjEkB,EAAoBC,GAAO,CAC/BR,EAAe,sBACfE,EAAe,sBACfC,EAAe,sBACfC,EAAe,sBACfC,EAAe,sBACfC,EAAe,qBACjB,EAAG,CAAC,EAEEG,EAAsBD,GAAO,CACjCR,EAAe,gBACfE,EAAe,gBACfC,EAAe,gBACfC,EAAe,gBACfC,EAAe,gBACfC,EAAe,eACjB,EAAG,CAAC,EAEJ,MAAO,CACL,eAAAC,EACA,iBAAAE,CACF,CACF,CAAC,CACH,CC9CO,IAAMC,GAAN,KAA4B,CAOjC,YAAY,CAAE,cAAAC,EAAe,WAAAC,CAAW,EAA4B,CAAC,EAAG,CANxE,KAAU,MAAQ,wBAUhB,GAHA,KAAK,eAAiBD,GAAiB,GACvC,KAAK,YAAcC,GAAc,IAE7B,OAAO,KAAK,gBAAmB,UAAY,KAAK,gBAAkB,GAAK,KAAK,gBAAkB,EAChG,MAAM,IAAI,MAAM,GAAG,KAAK,+DAA+D,EAGzF,GAAI,OAAO,KAAK,aAAgB,SAC9B,MAAM,IAAI,MAAM,GAAG,KAAK,4CAA4C,CAExE,CAEA,IAAI,eAAwB,CAAE,OAAO,KAAK,cAAgB,CAE1D,IAAI,YAAqB,CAAE,OAAO,KAAK,WAAa,CACtD,ECbO,IAAMC,GAAN,cAA6BC,EAAyB,CAC3D,aAAc,CACZ,MAAM,gBAAgB,CACxB,CAEO,aAAaC,EAAiB,CACnC,GAAM,CAAE,OAAAC,CAAO,EAAI,KACnB,GAAI,CAACA,EAAQ,MAAM,IAAI,MAAM,8CAA8C,EAC3E,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAiBC,GAAKJ,EAAM,cAAc,IAAK,EAAK,EAAG,SAAS,EAChEK,EAAOC,GAAOC,GAAIJ,EAAa,KAAK,EAAG,CAAC,EACxCK,EAAWC,GAAYJ,EAAGJ,EAAO,WAAW,EAC5C,CAAE,eAAAS,EAAgB,iBAAAC,CAAiB,EAAIC,GAAgBJ,EAAS,IAAKA,EAAS,OAAQP,EAAO,gBAAgB,EACnH,OAAOY,GAAYH,EAAgBC,EAAkBV,EAAO,YAAY,CAC1E,CAAC,CACH,CAEA,MAAa,QAAQD,EAAkB,CACrC,OAAO,KAAK,aAAa,MAAMc,GAAWd,CAAK,CAAC,CAClD,CAEA,MAAa,YAAYA,EAAkBe,EAAkC,CAAC,EAA6B,CACzG,GAAM,CAAE,WAAAC,EAAY,cAAAC,CAAc,EAAI,IAAIC,GAAsBH,CAAO,EACjEI,EAAW,MAAML,GAAWd,CAAK,EACjC,CAAE,MAAOoB,EAAQ,OAAQC,CAAQ,EAAI,KAAK,aAAaF,CAAQ,EAC/DG,EAAQF,EAAO,GACfG,EAASF,EAAQ,GACvB,QAASG,EAAI,EAAGA,EAAIJ,EAAO,OAAQI,IACjCJ,EAAOI,GAAG,QAAQ,EAClBH,EAAQG,GAAG,QAAQ,EAErB,IAAMC,EAAa,MAAM,KAAKF,EAAO,SAAS,CAAC,EAEzCG,EAAUC,GAAkBL,EAAOG,EAAwBT,EAD5C,GACsEC,CAAa,EAClGW,EAAeT,EAAS,2BAA2B,CAAC,EACpDU,EAAYV,EAAS,UACrBW,EAAOD,EAAYD,EAAa,MAChCG,EAAOF,EAAYD,EAAa,OAChCI,EAAYV,EAAM,UAAU,EAC5BW,EAAUP,EACb,IAAKQ,GAAQ,CACZ,GAAM,CAACC,EAAKC,CAAM,EAAI,CACpB,KAAK,IAAI,EAAGJ,EAAUE,GAAK,EAAE,EAC7B,KAAK,IAAI,EAAKF,EAAUE,GAAK,EAAE,CACjC,EAAE,IAAKG,GAAQA,EAAMN,CAAI,EACnB,CAACO,EAAMC,CAAK,EAAI,CACpB,KAAK,IAAI,EAAGP,EAAUE,GAAK,EAAE,EAC7B,KAAK,IAAI,EAAKF,EAAUE,GAAK,EAAE,CACjC,EAAE,IAAKG,GAAQA,EAAMP,CAAI,EACzB,OAAO,IAAIU,GACTf,EAAWS,GACX,IAAIO,GAAKH,EAAMH,EAAKI,EAAQD,EAAMF,EAASD,CAAG,EAC9C,CAAE,OAAQhB,EAAS,eAAe,CAAC,EAAG,MAAOA,EAAS,cAAc,CAAC,CAAE,CACzE,CACF,CAAC,EACH,OAAAG,EAAM,QAAQ,EACdC,EAAO,QAAQ,EACRU,CACT,CAEU,qBAA8B,CACtC,MAAO,uBACT,CAEU,2BAA2BS,EAA8B,CACjE,OAAOC,GAA2BD,CAAS,CAC7C,CAEU,cAAcE,EAAuB,CAC7C,OAAOC,GAAcD,CAAO,CAC9B,CACF,ECjFO,SAASE,IAAqBC,EAAuB,CAC1D,IAAMC,EAAM,IAAIC,GAChB,OAAAD,EAAI,eAAeD,CAAO,EACnBC,CACT,CAEO,SAASE,IAAuBH,EAAuB,CAC5D,OAAOD,IAAqBC,CAAO,CACrC,CAGO,IAAMI,GAAN,cAA+BF,EAAe,CAAC,ECd/C,IAAMG,GAAgB,GAEhBC,GAAc,CACzB,IAAIC,GAAM,QAAU,OAAQ,EAC5B,IAAIA,GAAM,QAAS,OAAO,EAC1B,IAAIA,GAAM,QAAS,OAAO,EAC1B,IAAIA,GAAM,OAAQ,OAAO,EACzB,IAAIA,GAAM,QAAS,OAAO,CAC5B,EAEaC,GAAwB,CACnC,IAAID,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,CAC9B,EAEaE,GAA+C,CAAC,QAAS,QAAS,MAAM,EAExEC,GAAqB,oBACrBC,GAAoC,mCCVjD,IAAMC,GAAYC,GAAa,OAAOA,GAAQ,SAEvC,SAASC,GAAeC,EAAa,CAC1C,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,mBAAmBA,GAAQ,EAG7C,GAAI,OAAOA,EAAO,oBAAuB,UACvC,MAAM,IAAI,MAAM,wDAAwDA,EAAO,oBAAoB,EAGrG,GAAI,CAACH,GAASG,EAAO,YAAY,GAAKA,EAAO,aAAe,GAAKA,EAAO,aAAe,EACrF,MAAM,IAAI,MAAM,gEAAgEA,EAAO,cAAc,EAGvG,GACE,CAAC,MAAM,QAAQA,EAAO,OAAO,GAC1B,CAACA,EAAO,QAAQ,QAChB,CAACA,EAAO,QAAQ,MAAOC,GAAW,OAAOA,GAAM,QAAQ,EAE1D,MAAM,IAAI,MAAM,kEAAkE,KAAK,UAAUD,EAAO,OAAO,GAAG,EAGpH,GACE,CAAC,MAAM,QAAQA,EAAO,OAAO,GAC1B,CAACA,EAAO,QAAQ,QAChB,CAACA,EAAO,QAAQ,IAAKE,GAAWA,GAAK,CAAC,CAAC,EAAE,MAAOA,GAAWL,GAASK,EAAE,CAAC,GAAKL,GAASK,EAAE,CAAC,CAAC,EAE5F,MAAM,IAAI,MAAM,wEAAwE,KAAK,UAAUF,EAAO,OAAO,GAAG,EAG1H,GAAIA,EAAO,UACT,CAAC,MAAM,QAAQA,EAAO,OAAO,GAC1BA,EAAO,QAAQ,SAAW,GAC1B,CAACA,EAAO,QAAQ,MAAMH,EAAQ,GAEjC,MAAM,IAAI,MAAM,8EAA8E,KAAK,UAAUG,EAAO,OAAO,GAAG,CAElI,CCjDO,SAASG,GAAMC,EAA6B,CACjD,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAASC,EAAIH,EAAMI,GAAO,kBAAmB,CAAC,EACpD,OAAUC,EAAOC,GAAQC,GAAIP,EAAGE,CAAG,CAAC,EAAGA,CAAG,CAC5C,CAAC,CACH,CCFO,SAASM,GAAkBC,EAAgBC,EAAwC,CACxF,OAAUC,EAAK,IAAM,CACnB,IAAIC,EAASC,GAAIJ,EAAG,CAAC,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,CAAC,CAAC,EACpD,OAAAG,EAASE,GAAOF,EAAKF,EAAO,KAAK,QAAS,CAAC,EAAG,CAAC,EAAG,OAAO,EACzDE,EAASG,GAAIH,EAAKF,EAAO,GAAG,GAAG,EAC/BE,EAASI,EAAIJ,EAAKF,EAAO,GAAG,OAAO,EACnCE,EAASK,EAAIL,EAAKF,EAAO,KAAK,IAAI,EAC3BQ,GAAMN,CAAG,CAClB,CAAC,CACH,CCTO,SAASO,GAAuBC,EAAgBC,EAA0C,CAC/F,OAAUC,EAAK,IAAM,CACnB,IAAIC,EAASC,GAAIJ,EAAG,CAAC,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,CAAC,CAAC,EACpD,OAAAG,EAASE,GAAgBF,EAAKF,EAAO,iBAAkBA,EAAO,iBAAkB,CAAC,EAAG,CAAC,EAAG,OAAO,EAC/FE,EAASG,EAAIH,EAAKF,EAAO,IAAI,EACtBM,GAAMJ,CAAG,CAClB,CAAC,CACH,CCHA,SAASK,IAAkBC,EAAwCC,EAA+B,CAChG,IAAMC,EAAoBC,GAAyBH,EAAgBC,CAAa,EAEhF,SAASG,EAAuBC,EAAcC,EAAiC,CAC7E,IAAMC,EAASC,GAASR,EAAeK,CAAI,CAAC,EACtCI,EAAaD,GAASR,EAAeK,CAAI,CAAC,EAEhD,OAAAJ,EAAc,KACZ,CAAE,UAAW,GAAGK,OAAmB,EACnC,CAAE,UAAW,GAAGA,WAAuB,CACzC,EACO,CAAE,IAAAC,EAAK,QAAAE,CAAQ,CACxB,CAEA,SAASC,EAA+BC,EAAoBC,EAAqBN,EAAyC,CACxH,IAAMO,EAAOX,EAAkBS,EAAYC,EAAa,EAAG,GAAGN,QAAmB,EAC3EQ,EAAKV,EAAuBQ,EAAa,GAAGN,MAAiB,EACnE,MAAO,CAAE,KAAAO,EAAM,GAAAC,CAAG,CACpB,CACA,IAAMC,EAA6BC,GAAkChB,EAAgBC,CAAa,EAElG,MAAO,CACL,kBAAAC,EACA,+BAAAQ,EACA,2BAAAK,CACF,CACF,CAEO,SAASE,GACdC,EACAC,EACAC,EACAC,EACgE,CAChE,GAAM,CACJ,eAAArB,EACA,oBAAAsB,CACF,EAAIC,GAAsBL,CAAO,EAE3BjB,EAAgC,CAAC,EACjC,CACJ,kBAAAC,EACA,+BAAAQ,EACA,2BAAAK,CACF,EAAIhB,IAAkBC,EAAgBC,CAAa,EAC/CuB,EAEJ,GAAIL,EAAO,mBAAoB,CAC7B,GAAM,CAACM,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,CAAE,EAAIZ,EACvCa,EAAQf,EAAO,mBACjBjB,EAAkBuB,EAAIC,EAAI,EAAG,OAAO,EACpCX,EAA2BU,EAAIC,EAAI,OAAO,EACxCS,EAAQpB,EAA2BW,EAAIC,EAAI,OAAO,EAClDS,EAAQrB,EAA2BY,EAAIC,EAAI,OAAO,EAClDS,EAAQtB,EAA2Ba,EAAIC,EAAI,OAAO,EAClDS,EAAQvB,EAA2Bc,EAAIC,EAAI,OAAO,EAClDS,EAAQxB,EAA2Be,EAAIC,EAAI,OAAO,EAClDS,EAAQR,EAAKjB,EAA2BgB,EAAIC,EAAI,OAAO,EAAI,OAC3DS,EAAQR,EAAKlB,EAA2BiB,EAAIC,EAAI,OAAO,EAAI,OAC3DS,EAAQxC,EAAkB+B,GAAMD,GAAMD,EAAI,EAAIX,EAAiB,EAAG,OAAO,EAC/EI,EAAS,CACP,MAAAU,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,CAC1D,CACF,KAAO,CACL,GAAM,CAACjB,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,CAAE,EAAIZ,EACvCa,EAAQxB,EAA+Be,EAAIC,EAAI,OAAO,EACtDS,EAAQzB,EAA+BgB,EAAIC,EAAI,OAAO,EACtDS,EAAQ1B,EAA+BiB,EAAIC,EAAI,OAAO,EACtDS,EAAQ3B,EAA+BkB,EAAIC,EAAI,OAAO,EACtDS,EAAQ5B,EAA+BmB,EAAIC,EAAI,OAAO,EACtDS,EAAQ7B,EAA+BoB,EAAIC,EAAI,OAAO,EACtDS,EAAQ9B,EAA+BqB,EAAIC,EAAI,OAAO,EACtDS,EAAQ/B,EAA+BsB,EAAIC,EAAI,OAAO,EACtDS,EAAQxC,EAAkB+B,EAAI,EAAIb,EAAiB,EAAG,OAAO,EACnEI,EAAS,CACP,MAAAU,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,CAC1D,CACF,CACA,GAAIpB,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAElF,MAAO,CAAE,OAAAE,EAAQ,cAAAvB,CAAc,CACjC,CCjFA,SAAS0C,IAAkBC,EAAgBC,EAA+B,CACxE,IAAMC,EAAqBC,GAA0BH,EAAWC,CAAa,EAE7E,SAASG,EAAuBC,EAA2B,CACzD,IAAMC,EAAMJ,EAAmB,GAAGG,QAAc,CAAC,EAC3CE,EAAUL,EAAmB,GAAGG,YAAkB,CAAC,EACzD,MAAO,CAAE,IAAAC,EAAK,QAAAC,CAAQ,CACxB,CAEA,SAASC,EAAkBH,EAA4B,CACrD,IAAMI,EAAUP,EAAmB,GAAGG,YAAkB,CAAC,EACnDK,EAAOR,EAAmB,GAAGG,SAAe,CAAC,EACnD,MAAO,CAAE,QAAAI,EAAS,KAAAC,CAAK,CACzB,CAEA,SAASC,EAA+BN,EAAmC,CACzE,IAAMO,EAAOJ,EAAkB,GAAGH,QAAa,EACzCQ,EAAKT,EAAuB,GAAGC,MAAW,EAChD,MAAO,CAAE,KAAAO,EAAM,GAAAC,CAAG,CACpB,CAEA,IAAMC,EAA6BC,GAA+Bb,CAAkB,EACpF,MAAO,CACL,kBAAAM,EACA,+BAAAG,EACA,2BAAAG,CACF,CACF,CAEO,SAASE,GACdhB,EACAiB,EACgE,CAChE,IAAMhB,EAAgC,CAAC,EAEjC,CACJ,kBAAAO,EACA,+BAAAG,EACA,2BAAAG,CACF,EAAIf,IAAkBC,EAAWC,CAAa,EAE1CiB,EAEJ,GAAID,EAAO,mBAAoB,CAE7B,IAAME,EAAcF,EAAO,aAAeA,EAAO,YAAY,QAAU,EACvEC,EAAS,CACP,MAAOD,EAAO,mBAAqBT,EAAkB,OAAO,EAAIM,EAA2B,OAAO,EAClG,MAAOA,EAA2B,OAAO,EACzC,MAAOA,EAA2B,OAAO,EACzC,MAAOA,EAA2B,OAAO,EACzC,MAAOA,EAA2B,OAAO,EACzC,MAAOA,EAA2B,OAAO,EACzC,MAAOK,EAAa,EAAIL,EAA2B,OAAO,EAAI,OAC9D,MAAOK,EAAa,EAAIL,EAA2B,OAAO,EAAI,OAC9D,MAAON,EAAkB,OAAO,CAClC,CACF,MACEU,EAAS,CACP,MAAOP,EAA+B,OAAO,EAC7C,MAAOA,EAA+B,OAAO,EAC7C,MAAOA,EAA+B,OAAO,EAC7C,MAAOA,EAA+B,OAAO,EAC7C,MAAOA,EAA+B,OAAO,EAC7C,MAAOA,EAA+B,OAAO,EAC7C,MAAOA,EAA+B,OAAO,EAC7C,MAAOA,EAA+B,OAAO,EAC7C,MAAOH,EAAkB,OAAO,CAClC,EAGF,OAAAY,GAA2BpB,EAAWC,CAAa,EAC5C,CAAE,OAAAiB,EAAQ,cAAAjB,CAAc,CACjC,CC9EO,IAAMoB,GAAN,KAAwB,CAO7B,YAAY,CAAE,UAAAC,EAAW,eAAAC,CAAe,EAAwB,CAAC,EAAG,CANpE,KAAU,MAAQ,oBAUhB,GAHA,KAAK,WAAaD,GAAa,IAC/B,KAAK,gBAAkBC,GAAkB,GAErC,OAAO,KAAK,YAAe,UAAY,KAAK,WAAa,KAAO,EAClE,MAAM,IAAI,MAAM,GAAG,KAAK,2DAA2D,EAGrF,GAAI,OAAO,KAAK,iBAAoB,UAAY,KAAK,iBAAmB,GAAK,KAAK,iBAAmB,EACnG,MAAM,IAAI,MAAM,GAAG,KAAK,gEAAgE,CAE5F,CAEA,IAAI,WAAoB,CAAE,OAAO,KAAK,UAAY,CAElD,IAAI,gBAAyB,CAAE,OAAO,KAAK,eAAiB,CAC9D,ECLO,IAAMC,GAAN,cAA6BC,EAAmC,CAKrE,YAAYC,EAA0B,CACpC,MAAM,YAAY,EAClBC,GAAeD,CAAM,EACrB,KAAK,QAAUA,CACjB,CAEA,IAAW,QAA2B,CACpC,OAAO,KAAK,OACd,CAEA,IAAW,iBAA2B,CACpC,OAAO,KAAK,OAAO,iBAAmB,KAAK,OAAO,QAAQ,OAAS,CACrE,CAEA,IAAW,iBAA0B,CACnC,MAAO,IAAK,KAAK,gBAAkB,KAAK,OAAO,QAAQ,OAAS,EAClE,CAEO,cAAcE,EAAgBC,EAAiD,CACpF,IAAIC,EAAMC,GAAkBH,EAAGC,EAAO,KAAK,EAC3C,OAAAC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMC,GAAkBD,EAAKD,EAAO,KAAK,EACzCC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMC,GAAkBD,EAAKD,EAAO,KAAK,EACzCC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMC,GAAkBD,EAAKD,EAAO,KAAK,EACzCC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMC,GAAkBD,EAAKD,EAAO,KAAK,EACzCC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMC,GAAkBD,EAAKD,EAAO,KAAK,EACzCC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMC,GAAkBD,EAAKD,EAAO,KAAK,EACzCC,EAAMC,GAAkBD,EAAKD,EAAO,KAAK,EAClCI,GAAUH,EAAKD,EAAO,MAAO,QAAS,EAAK,CACpD,CAEO,aAAaD,EAAgBC,EAAsC,CACxE,IAAIC,EAAM,KAAK,OAAO,mBAClBI,GAAMD,GAAUL,EAAGC,EAAO,MAAqB,QAAS,EAAK,CAAC,EAC9DM,GAAuBP,EAAGC,EAAO,KAA4B,EACjE,OAAAC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMK,GAAuBL,EAAKD,EAAO,KAAK,EAC9CC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMK,GAAuBL,EAAKD,EAAO,KAAK,EAC9CC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMK,GAAuBL,EAAKD,EAAO,KAAK,EAC9CC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMK,GAAuBL,EAAKD,EAAO,KAAK,EAC9CC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMK,GAAuBL,EAAKD,EAAO,KAAK,EAC9CC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMD,EAAO,MAAQM,GAAuBL,EAAKD,EAAO,KAAK,EAAIC,EACjEA,EAAMD,EAAO,MAAQM,GAAuBL,EAAKD,EAAO,KAAK,EAAIC,EAC1DG,GAAUH,EAAKD,EAAO,MAAO,QAAS,EAAK,CACpD,CAEO,aAAaO,EAAiBC,EAAgC,CACnE,GAAM,CAAE,OAAAR,CAAO,EAAI,KAEnB,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,0CAA0C,EAG5D,OAAUS,EAAK,IAAM,CACnB,IAAIC,EAAiBC,GAAKJ,EAAM,cAAcC,EAAW,EAAK,EAAG,SAAS,EAC1E,OAAAE,EAAc,KAAK,OAAO,QACtBE,GAAUF,EAAa,KAAK,OAAO,OAAO,EAC1CA,EACJA,EAAcA,EAAY,IAAI,GAAG,EAC1B,KAAK,OAAO,mBACf,KAAK,aAAaA,EAAaV,CAAyB,EACxD,KAAK,cAAcU,EAAaV,CAAoC,CAC1E,CAAC,CACH,CAEA,MAAa,QAAQO,EAAkBC,EAAyC,CAC9E,OAAO,KAAK,aAAa,MAAMK,GAAWN,CAAK,EAAGC,CAAS,CAC7D,CAEA,MAAa,OAAOD,EAAkBO,EAAoC,CAAC,EAA+B,CACxG,GAAM,CAAE,UAAAN,EAAW,eAAAO,CAAe,EAAI,IAAIC,GAAkBF,CAAa,EACnEG,EAAW,MAAMJ,GAAWN,CAAK,EACjCN,EAAM,MAAM,KAAK,aAAagB,EAAUT,CAAS,EACjDU,EAAUT,EAAK,IAASU,GAAQlB,CAAG,EAAE,GAAG,WAAW,CAAC,EACpDmB,EAAkB,CACtB,MAAOH,EAAS,cAAc,CAAC,EAC/B,OAAQA,EAAS,eAAe,CAAC,CACnC,EAEMI,EAAU,MAAM,KAAK,aAAaH,EAAMD,EAAS,2BAA2B,CAAC,EAAGF,CAAc,EACpGd,EAAI,QAAQ,EACZiB,EAAK,QAAQ,EAEb,IAAMI,EAAQD,EAAQ,IAAKE,GAAQA,EAAI,GAAG,EACpCC,EAASH,EAAQ,IAAKE,GAAQA,EAAI,KAAK,EACvCE,EAAcJ,EAAQ,IAAKE,GAAQA,EAAI,UAAU,EACjDG,EAAaL,EAAQ,IAAKE,GAAQ,KAAK,OAAO,QAAQA,EAAI,MAAM,EAgBtE,OAdgBI,GACdL,EAAM,IAAKM,GAAQA,EAAI,QAAQpB,CAAS,CAAC,EACzCgB,EACA,KAAK,OAAO,aACZ,EACF,EAE2B,IAAKK,GAAQ,IAAIC,GAC1CN,EAAOK,GACPJ,EAAYI,GACZH,EAAWG,GACXP,EAAMO,GACNT,CACF,CAAC,CAEH,CAEU,qBAA8B,CACtC,MAAO,EACT,CAEU,2BAA2BW,EAA8B,CACjE,OAAOC,GAA2BD,EAAW,KAAK,MAAM,CAC1D,CAEU,cAAcE,EAAuB,CAC7C,IAAMC,EAAc,KAAK,OAAO,aAAevC,GAAe,qBAExDwC,EAAaD,EAAcA,EAAY,OAAS,OACtD,GAAIC,IAAe,GAAKA,IAAe,GAAKA,IAAe,EACzD,MAAM,IAAI,MAAM,oEAAoEA,yBAAkC,EAExH,OAAOC,GAAcH,EAAS,KAAK,OAAQ,KAAK,gBAAiBC,CAAW,CAC9E,CAEA,MAAgB,aACdG,EACAC,EACAvB,EACA,CACA,GAAM,CAAE,MAAAwB,EAAO,OAAAC,CAAO,EAAIF,EACpB9B,EAAY,KAAK,IAAI+B,EAAOC,CAAM,EAClCC,EAAoBjC,EAAY+B,EAChCG,EAAoBlC,EAAYgC,EAEhCG,EAAWN,EAAa,MAAM,GAC9BO,EAAW,KAAK,OAAO,QAAQ,OAE/B,CAACC,EAAaC,EAAcC,CAAiB,EAAOtC,EAAK,IAAM,CACnE,IAAMuC,EAAWX,EAAa,QAAQ,CAACM,EAAUA,EAAUC,EAAU,KAAK,eAAe,CAAC,EAEpFtB,EAAQ0B,EAAS,MAAM,CAAC,EAAG,EAAG,EAAG,CAAC,EAAG,CAACL,EAAUA,EAAUC,EAAU,CAAC,CAAC,EACtEpB,EAASwB,EAAS,MAAM,CAAC,EAAG,EAAG,EAAG,CAAC,EAAG,CAACL,EAAUA,EAAUC,EAAU,CAAC,CAAC,EACvEnB,EAAc,KAAK,gBAClBwB,GAAQD,EAAS,MAAM,CAAC,EAAG,EAAG,EAAG,CAAC,EAAG,CAACL,EAAUA,EAAUC,EAAU,KAAK,OAAO,QAAQ,MAAM,CAAC,EAAG,CAAC,EACnGM,GAAO,CAAC,EACf,MAAO,CAAC5B,EAAOE,EAAQC,CAAW,CACpC,CAAC,EAEKJ,EAAU,CAAC,EACX8B,EAAa,MAAML,EAAa,MAAM,EACtCM,EAAY,MAAMP,EAAY,MAAM,EAC1C,QAASQ,EAAM,EAAGA,EAAMV,EAAUU,IAChC,QAASC,EAAM,EAAGA,EAAMX,EAAUW,IAChC,QAASC,EAAS,EAAGA,EAASX,EAAUW,IAAU,CAChD,IAAMC,EAAQC,GAAQN,EAAWE,GAAKC,GAAKC,GAAQ,EAAE,EACrD,GAAI,CAACxC,GAAkByC,EAAQzC,EAAgB,CAC7C,IAAM2C,GAAQJ,EAAMG,GAAQL,EAAUC,GAAKC,GAAKC,GAAQ,EAAE,GAAKZ,EAAYF,EACrEkB,GAAQN,EAAMI,GAAQL,EAAUC,GAAKC,GAAKC,GAAQ,EAAE,GAAKZ,EAAYD,EACrEkB,EAAe,KAAK,IAAIR,EAAUC,GAAKC,GAAKC,GAAQ,EAAE,EAAI,KAAK,OAAO,QAAQA,GAAQ,EAAKZ,EAAYF,EACvGoB,EAAgB,KAAK,IAAIT,EAAUC,GAAKC,GAAKC,GAAQ,EAAE,EAAI,KAAK,OAAO,QAAQA,GAAQ,EAAKZ,EAAYD,EACxG3C,EAAK2D,EAAOE,EAAa,EACzBE,EAAKH,EAAOE,EAAc,EAC1BE,EAAM,CAAE,IAAAV,EAAK,IAAAC,EAAK,OAAAC,CAAO,EACzB,CAAE,WAAAS,EAAY,MAAAC,CAAM,EAAI,KAAK,gBAC/B,MAAM,KAAK,sBAAsBlB,EAAkCgB,CAAG,EACtE,CAAE,WAAY,EAAG,MAAO,CAAE,EAC9B1C,EAAQ,KAAK,CACX,IAAK,IAAI6C,GAAYnE,EAAG+D,EAAG/D,EAAI6D,EAAYE,EAAID,CAAW,EAC1D,MAAAL,EACA,WAAYA,EAAQQ,EACpB,MAAAC,EACA,GAAGF,CACL,CAAC,CACH,CACF,CAIJ,OAAAlB,EAAY,QAAQ,EACpBC,EAAa,QAAQ,EACrBC,EAAkB,QAAQ,EACnB1B,CACT,CAEA,MAAc,sBAAsB8C,EAA4BJ,EAAmD,CACjH,GAAM,CAAE,IAAAV,EAAK,IAAAC,EAAK,OAAAC,CAAO,EAAIQ,EACvBK,EAAc,MAAMD,EAAc,MAAM,EAC9C,OAAO,MAAM,KAAK,OAAO,QAAQ,MAAM,EAAE,KAAK,CAAC,EAC5C,IAAI,CAACE,EAAGC,IAAMF,EAAYf,GAAKC,GAAKC,GAAQe,EAAE,EAC9C,IAAI,CAACN,EAAYC,KAAW,CAC3B,WAAAD,EACA,MAAAC,CACF,EAAE,EACD,OAAO,CAACM,EAAKC,IAAUD,EAAI,WAAaC,EAAK,WAAaD,EAAMC,CAAK,CAC1E,CACF,EAjNaC,GAAN9E,GAAM8E,GACG,qBAAuB,CAAC,EAAG,GAAI,GAAI,GAAI,IAAK,IAAK,IAAK,KAAM,IAAI,ECPzE,IAAMC,GAAN,cAAyBC,EAAe,CAC7C,YAAYC,EAAqB,GAAM,CACrC,IAAMC,EAAS,CACb,mBAAAD,EACA,aAAcE,GACd,QAAS,CAAC,MAAM,EAChB,GAAIF,EACA,CACA,QAASG,GACT,QAASC,EACX,EACE,CACA,QAASC,GACT,gBAAiB,EACnB,CACJ,EAEA,MAAMJ,CAAM,CACd,CAEA,IAAW,oBAA8B,CACvC,OAAO,KAAK,OAAO,kBACrB,CAEA,IAAW,SAAmB,CAC5B,OAAO,KAAK,OAAO,OACrB,CAEA,MAAa,YAAYK,EAAkBC,EAA6D,CAEtG,OADyB,MAAM,KAAK,OAAOD,EAAOC,CAAa,GACvC,IAAKC,GAAQ,IAAIC,GAAcD,EAAI,MAAOA,EAAI,YAAa,CAAE,MAAOA,EAAI,WAAY,OAAQA,EAAI,WAAY,CAAC,CAAC,CACxI,CAEmB,qBAA8B,CAC/C,OAAO,KAAK,mBAAqBE,GAAoCC,EACvE,CAEmB,2BAA2BC,EAA8F,CAC1I,OAAO,MAAM,2BAA2BA,CAAS,CACnD,CACF,EClDO,SAASC,IAAiBC,EAAuBC,EAAqB,GAAM,CACjF,IAAMC,EAAM,IAAIC,GAAWF,CAAkB,EAC7C,OAAAC,EAAI,eAAeF,CAAO,EACnBE,CACT,CCPO,IAAME,GAAN,cAAsCC,EAAkB,CAAxD,kCACL,KAAmB,MAAQ,0BAC7B,ECNO,IAAMC,GAAN,KAAwB,CAE7B,MAAa,KAAKC,EAA2D,CAC3E,OAAOA,EAAY,MAAM,KAAK,IAAI,CAAC,CACrC,CAEA,MAAa,KAAkB,CAC7B,MAAM,IAAI,MAAM,yCAAyC,CAC3D,CACF,ECFA,eAAsBC,GACpBC,EACAC,EAEAC,EACAC,EAEAC,EAAwF,CAAC,CAAE,YAAAC,CAAY,IAAMA,EAC7G,CACA,IAAMC,EAAYN,EAAc,IAAKO,GAAkBC,GAAoBD,CAAY,EACnFH,EAAoBG,CAAY,EAChCA,EAAa,SAAU,EACrBE,EAAgDN,IACpDF,aAAoBS,GAChB,MAAMC,GAAmBV,EAAOK,CAAS,EACzC,MAAMM,GAAaX,EAAOK,CAAS,GAEnCO,EAAU,MAAMX,EAAeO,CAAK,EAC1C,OAAAA,EAAM,QAASK,GAAMA,aAAgBJ,IAAUI,EAAE,QAAQ,CAAC,EACnDD,CACT,CAEA,eAAsBE,GACpBR,EACAN,EAEAe,EACAb,EAEAC,EACA,CACA,OAAOL,GACL,CAACQ,CAAY,EACbN,EACA,MAAOQ,GAAUO,EAAcP,EAAM,EAAE,EACvCN,EACAC,CACF,CACF,CC3CO,IAAMa,GAAgB,GAEhBC,GAAc,CACzB,IAAIC,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,CAC9B,EAEaC,GAAqC,CAAC,QAAS,QAAS,MAAM,ECFpE,IAAMC,GAAN,cAA+BC,EAAe,CACnD,aAAc,CACZ,IAAMC,EAAS,CACb,mBAAoB,GACpB,aAAcC,GACd,QAAS,CAAC,MAAM,EAChB,QAASC,GACT,QAASC,GACT,mBAAoB,GACpB,YAAa,CAAC,EAAG,GAAI,GAAI,GAAI,IAAK,IAAK,GAAG,CAC5C,EAEA,MAAMH,CAAM,CACd,CAEA,IAAW,SAAmB,CAC5B,OAAO,KAAK,OAAO,OACrB,CAEA,MAAa,YAAYI,EAAkBC,EAA6D,CAEtG,OADyB,MAAM,KAAK,OAAOD,EAAOC,CAAa,GACvC,IAAKC,GAAQ,IAAIC,GAAcD,EAAI,MAAOA,EAAI,YAAa,CAAE,MAAOA,EAAI,WAAY,OAAQA,EAAI,WAAY,CAAC,CAAC,CACxI,CAEmB,qBAA8B,CAC/C,MAAO,0BACT,CAEmB,2BAA2BE,EAA8F,CAC1I,OAAO,MAAM,2BAA2BA,CAAS,CACnD,CACF,ECzBO,IAAMC,GAAO,CAClB,eAAgB,IAAIC,GACpB,iBAAkB,IAAIC,GACtB,WAAY,IAAIC,GAChB,kBAAmB,IAAIC,GACvB,sBAAuB,IAAIC,GAC3B,mBAAoB,IAAIC,GACxB,kBAAmB,IAAIC,GACvB,aAAc,IAAIC,EACpB,EASaC,IAAiB,CAACC,EAAkBC,IAA6DX,GAAK,eAAe,YAAYU,EAAOC,CAAO,EAS/IC,IAAmB,CAACF,EAAkBC,IAA+DX,GAAK,iBAAiB,YAAYU,EAAOC,CAAO,EASrJE,IAAa,CAACH,EAAkBC,IAA0DX,GAAK,WAAW,YAAYU,EAAOC,CAAO,EASpIG,IAAuBJ,GAAmEV,GAAK,kBAAkB,gBAAgBU,CAAK,EAWtIK,IAA2BL,GAAmEV,GAAK,sBAAsB,gBAAgBU,CAAK,EAY9IM,IAAyBN,GAA6DV,GAAK,mBAAmB,sBAAsBU,CAAK,EASzIO,IAA4BP,GAAmEV,GAAK,kBAAkB,mBAAmBU,CAAK,EAS9IQ,IAAuBR,GAAiFV,GAAK,aAAa,oBAAoBU,CAAK,EAEnJS,IAA2BC,GAAgBpB,GAAK,eAAe,KAAKoB,CAAG,EACvEC,IAA6BD,GAAgBpB,GAAK,iBAAiB,KAAKoB,CAAG,EAC3EE,IAAuBF,GAAgBpB,GAAK,WAAW,KAAKoB,CAAG,EAC/DG,IAAyBH,GAAgBpB,GAAK,kBAAkB,KAAKoB,CAAG,EACxEI,IAA6BJ,GAAgBpB,GAAK,sBAAsB,KAAKoB,CAAG,EAChFK,IAA4BL,GAAgBpB,GAAK,mBAAmB,KAAKoB,CAAG,EAC5EM,IAA2BN,GAAgBpB,GAAK,kBAAkB,KAAKoB,CAAG,EAC1EO,IAAsBP,GAAgBpB,GAAK,aAAa,KAAKoB,CAAG,EAGhEQ,IAAyBT,IACzBU,IAAcpB,IACdqB,IAAkBhB,ICtGxB,IAAMiB,GAAN,cAAqEC,EAAwB,CAClG,YAEYC,EAEAC,EAEAC,EACV,CACA,MAAM,EANI,gBAAAF,EAEA,WAAAC,EAEA,oBAAAC,CAGZ,CACF,EAEaC,GAAN,cAAmFL,EAA0E,CAClK,MAAsB,KAA+C,CACnE,IAAMM,EAAgB,MAAM,KAAK,WAE3BC,EAAwB,MAAMC,GAClCF,EACA,KAAK,MACL,MAAOG,GAAU,QAAQ,IACvBA,EAAM,IAAKC,GAASC,GAAK,kBAAkB,mBAAmBD,CAAI,CAA6B,CACjG,EACA,KAAK,cACP,EAEA,OAAOJ,EAAc,IACnB,CAACM,EAAcC,IAAMC,GAAmCF,EAAcL,EAAsBM,EAAE,CAChG,CACF,CAEA,kBAAmB,CACjB,OAAO,IAAIE,GAA2B,KAAM,KAAK,KAAK,CACxD,CACF,EAEaC,GAAN,cAAsFhB,EAA8F,CACzL,MAAsB,KAAyD,CAC7E,IAAMY,EAAe,MAAM,KAAK,WAChC,GAAI,CAACA,EACH,OAGF,IAAMK,EAAkB,MAAMC,GAC5BN,EACA,KAAK,MACJF,GAASC,GAAK,kBAAkB,mBAAmBD,CAAI,EACxD,KAAK,cACP,EAEA,OAAOI,GAA0BF,EAAcK,CAAe,CAChE,CAEA,kBAAmB,CACjB,OAAO,IAAIE,GAA8B,KAAM,KAAK,KAAK,CAC3D,CACF,EAEaC,GAAN,cAAuHf,EAAuC,CAC1J,kBAAmB,CAC1B,OAAO,IAAIgB,GAA4C,KAAM,KAAK,KAAK,CACzE,CAEA,qBAAsB,CACpB,OAAO,IAAIC,GAA8B,KAAM,KAAK,KAAK,CAC3D,CACF,EAEaC,GAAN,cAA0HP,EAA0C,CAChK,kBAAmB,CAC1B,OAAO,IAAIQ,GAA+C,KAAM,KAAK,KAAK,CAC5E,CAEA,oBAAqB,CACnB,OAAO,IAAIC,GAAgC,KAAM,KAAK,KAAK,CAC7D,CACF,EC3EO,IAAMC,GAAN,cAAkEC,EAAwB,CAC/F,YAEYC,EAEAC,EAEAC,EACV,CACA,MAAM,EANI,gBAAAF,EAEA,WAAAC,EAEA,oBAAAC,CAGZ,CACF,EAEaC,GAAN,cAAgFL,EAAuE,CAC5J,MAAsB,KAA+C,CACnE,IAAMM,EAAgB,MAAM,KAAK,WAC3BC,EAAqB,MAAMC,GAC/BF,EACA,KAAK,MACL,MAAOG,GAAU,QAAQ,IAAIA,EAAM,IAAKC,GAASC,GAAK,aAAa,oBAAoBD,CAAI,CAAoC,CAAC,EAChI,KAAK,cACP,EACA,OAAOJ,EAAc,IAAI,CAACM,EAAcC,IAAM,CAC5C,GAAM,CAAE,IAAAC,EAAK,OAAAC,EAAQ,kBAAAC,CAAkB,EAAIT,EAAmBM,GAC9D,OAAOI,GAAcC,GAAiBN,EAAcG,EAAQC,CAAiB,EAAGF,CAAG,CACrF,CAAC,CACH,CAEA,qBAAsB,CACpB,OAAO,IAAIK,GAA8B,KAAM,KAAK,KAAK,CAC3D,CACF,EAEaC,GAAN,cAAmFpB,EAA2F,CACnL,MAAsB,KAAyD,CAC7E,IAAMY,EAAe,MAAM,KAAK,WAChC,GAAI,CAACA,EAAc,OACnB,GAAM,CAAE,IAAAE,EAAK,OAAAC,EAAQ,kBAAAC,CAAkB,EAAI,MAAMK,GAC/CT,EACA,KAAK,MACJF,GAASC,GAAK,aAAa,oBAAoBD,CAAI,EACpD,KAAK,cACP,EACA,OAAOO,GAAcC,GAAiBN,EAAcG,EAAQC,CAAiB,EAAGF,CAAG,CACrF,CAEA,qBAAsB,CACpB,OAAO,IAAIQ,GAAiC,KAAM,KAAK,KAAK,CAC9D,CACF,EAEaC,GAAN,cAAoHlB,EAAoC,CACpJ,qBAAsB,CAC7B,OAAO,IAAImB,GAA+C,KAAM,KAAK,KAAK,CAC5E,CAEA,qBAAsB,CACpB,OAAO,IAAIC,GAA8B,KAAM,KAAK,KAAK,CAC3D,CACF,EAEaC,GAAN,cAAuHN,EAAuC,CAC1J,qBAAsB,CAC7B,OAAO,IAAIO,GAAkD,KAAM,KAAK,KAAK,CAC/E,CAEA,oBAAqB,CACnB,OAAO,IAAIC,GAAgC,KAAM,KAAK,KAAK,CAC7D,CACF,ECzEO,IAAMC,GAAN,cAAqEC,EAAwB,CAClG,YAEYC,EAEAC,EACV,CACA,MAAM,EAJI,gBAAAD,EAEA,WAAAC,CAGZ,CACF,EAEaC,GAAN,cAAsGJ,EAAyE,CACpL,MAAsB,KAA8C,CAClE,IAAMK,EAAgB,MAAM,KAAK,WAQjC,OAPoB,MAAMC,GACxBD,EACA,KAAK,MACJE,GAAU,QAAQ,IAAIA,EAAM,IAAKC,GAASC,GAAK,mBAAmB,sBAAsBD,CAAI,CAA0B,CAAC,EACxH,KACCE,GAAiBA,EAAa,UAAU,MAAM,KAAM,CAAE,iBAAkB,EAAK,CAAC,CACjF,GACmB,IAAI,CAACC,EAAYC,IAAMC,GAAkCR,EAAcO,GAAID,CAAU,CAAC,CAC3G,CAEA,qBAAsB,CACpB,OAAO,IAAIG,GAA+C,KAAM,KAAK,KAAK,CAC5E,CAEA,kBAAmB,CACjB,OAAO,IAAIC,GAA4C,KAAM,KAAK,KAAK,CACzE,CACF,EAEaC,GAAN,cAAwGhB,EAA6F,CAC1M,MAAsB,KAAwD,CAC5E,IAAMU,EAAe,MAAM,KAAK,WAChC,GAAI,CAACA,EAAc,OACnB,IAAMC,EAAa,MAAMM,GACvBP,EACA,KAAK,MACJF,GAASC,GAAK,mBAAmB,sBAAsBD,CAAI,EAC5D,KAECE,GAAiBA,EAAa,UAAU,MAAM,KAAM,CAAE,iBAAkB,EAAK,CAAC,CACjF,EACA,OAAOG,GAAyBH,EAAcC,CAAU,CAC1D,CAEA,qBAAsB,CACpB,OAAO,IAAIO,GAAkD,KAAM,KAAK,KAAK,CAC/E,CAEA,kBAAmB,CACjB,OAAO,IAAIC,GAA+C,KAAM,KAAK,KAAK,CAC5E,CACF,ECnDO,IAAMC,GAAN,cAAkEC,EAAwB,CAC/F,YAEYC,EAEAC,EAEAC,EACV,CACA,MAAM,EANI,gBAAAF,EAEA,WAAAC,EAEA,wBAAAC,CAGZ,CAEA,IAAc,aAAyD,CACrE,OAAO,KAAK,mBACRC,GAAK,sBACLA,GAAK,iBACX,CACF,EAEaC,GAAN,cAAgFN,EAAqE,CAC1J,MAAsB,KAA6C,CACjE,IAAMO,EAAgB,MAAM,KAAK,WAC3BC,EAAaD,EAAc,IAAKE,GAAQA,EAAI,SAAS,EACrDC,EAAgD,KAAK,iBAAoBC,GAC3E,MAAMC,GAAmB,KAAK,MAAOJ,CAAU,EAC/C,MAAMK,GAAa,KAAK,MAAOL,CAAU,EACvCM,EAAsB,MAAM,QAAQ,IAAIJ,EAAM,IAAKK,GAAS,KAAK,YAAY,gBAAgBA,CAAI,CAAC,CAAC,EACzG,OAAAL,EAAM,QAASM,GAAMA,aAAgBL,IAAUK,EAAE,QAAQ,CAAC,EAC3CT,EACZ,OAAO,CAACU,EAAeC,IAAMJ,EAAoBI,EAAE,EACnD,IAAI,CAACC,EAAcD,IAAME,GAAiCD,EAAcL,EAAoBI,EAAE,CAAC,CAEpG,CAEA,qBAAsB,CACpB,OAAO,IAAIG,GAA+C,KAAM,KAAK,KAAK,CAC5E,CAEA,kBAAmB,CACjB,OAAO,IAAIC,GAA4C,KAAM,KAAK,KAAK,CACzE,CAEA,qBAAsB,CACpB,OAAO,IAAIC,GAA8B,KAAM,KAAK,KAAK,CAC3D,CACF,EAEaC,GAAN,cAAmFxB,EAAyF,CACjL,MAAsB,KAAuD,CAC3E,IAAMmB,EAAe,MAAM,KAAK,WAChC,GAAI,CAACA,EACH,OAEF,GAAM,CAAE,UAAAM,CAAU,EAAIN,EAChBT,EAAgD,KAAK,iBAAoBC,GAC3E,MAAMC,GAAmB,KAAK,MAAO,CAACa,CAAS,CAAC,EAChD,MAAMZ,GAAa,KAAK,MAAO,CAACY,CAAS,CAAC,EACxCC,EAAY,MAAM,KAAK,YAAY,gBAAgBhB,EAAM,EAAE,EACjE,OAAAA,EAAM,QAASM,GAAMA,aAAgBL,IAAUK,EAAE,QAAQ,CAAC,EACnDI,GAAiCD,EAAcO,CAAS,CACjE,CAEA,qBAAsB,CACpB,OAAO,IAAIC,GAAkD,KAAM,KAAK,KAAK,CAC/E,CAEA,kBAAmB,CACjB,OAAO,IAAIC,GAA+C,KAAM,KAAK,KAAK,CAC5E,CAEA,oBAAqB,CACnB,OAAO,IAAIC,GAAgC,KAAM,KAAK,KAAK,CAC7D,CACF,EC1EO,IAAMC,GAAN,cAA2CC,EAAwB,CAExE,YAAsBC,EAA4BC,EAAgC,IAAIC,GAAyB,CAC7G,MAAM,EADc,WAAAF,EAA4B,aAAAC,CAElD,CACF,EAEaE,GAAN,cAAiCL,EAAqC,CAC3E,MAAsB,KAAgC,CACpD,GAAM,CAAE,MAAAE,EAAO,QAAAC,CAAQ,EAAI,KACvBG,EACJ,GAAIH,aAAmBI,GAAyBD,EAASE,GAAK,iBAAiB,YAAYN,EAAOC,CAAO,UAChGA,aAAmBC,GAAuBE,EAASE,GAAK,eAAe,YAAYN,EAAOC,CAAO,UACjGA,aAAmBM,GAAmBH,EAASE,GAAK,WAAW,YAAYN,EAAOC,CAAO,MAC7F,OAAM,IAAI,MAAM,sHAAsH,EAC3I,OAAOG,CACT,CAEQ,gCAAmE,CACzE,OAAO,IAAI,QAAiC,CAACI,EAASC,IAAW,CAC/D,KAAK,IAAI,EACN,KAAMC,GAAeF,EAAQE,EAAW,IAAKC,GAAcC,GAAwB,CAAC,EAAGD,CAAS,CAAC,CAAC,CAAC,EACnG,MAAOE,GAAQJ,EAAOI,CAAG,CAAC,CAC/B,CAAC,CACH,CAEA,kBAAkBC,EAAqB,GAAO,CAC5C,OAAO,IAAIC,GACT,KAAK,+BAA+B,EACpC,KAAK,MACLD,CACF,CACF,CAEA,qBAAsB,CACpB,OAAO,IAAIE,GACT,KAAK,+BAA+B,EACpC,KAAK,KACP,CACF,CAEA,kBAAmB,CACjB,OAAO,IAAIC,GACT,KAAK,+BAA+B,EACpC,KAAK,KACP,CACF,CACF,EAEaC,GAAN,cAAmCpB,EAA+C,CACvF,MAAsB,KAA0C,CAC9D,IAAMqB,EAAiB,MAAM,IAAIhB,GAAmB,KAAK,MAAO,KAAK,OAAO,EACxEiB,EAAgCD,EAAe,GACnD,OAAAA,EAAe,QAASE,GAAkB,CACpCA,EAAc,MAAQD,EAA8B,QAAOA,EAAgCC,EACjG,CAAC,EACMD,CACT,CAEQ,+BAA4E,CAElF,OAAO,IAAI,QAA2C,MAAOZ,GAAY,CACvE,IAAMG,EAAY,MAAM,KAAK,IAAI,EACjCH,EAAQG,EAAYC,GAA4B,CAAC,EAAGD,CAAS,EAAI,MAAS,CAC5E,CAAC,CACH,CAEA,kBAAkBG,EAAqB,GAAO,CAC5C,OAAO,IAAIQ,GACT,KAAK,8BAA8B,EACnC,KAAK,MACLR,CACF,CACF,CAEA,qBAAsB,CACpB,OAAO,IAAIS,GACT,KAAK,8BAA8B,EACnC,KAAK,KACP,CACF,CAEA,kBAAmB,CACjB,OAAO,IAAIC,GACT,KAAK,8BAA8B,EACnC,KAAK,KACP,CACF,CACF,ECjGO,SAASC,IAAiBC,EAAkBC,EAAgC,IAAIC,GAA+C,CACpI,OAAO,IAAIC,GAAqBH,EAAOC,CAAO,CAChD,CAEO,SAASG,GAAeJ,EAAkBC,EAAgC,IAAIC,GAA6C,CAChI,OAAO,IAAIG,GAAmBL,EAAOC,CAAO,CAC9C,CCLA,eAAsBK,IAAuBC,EAAkBC,EAAiG,CAC9J,OAAOC,GAAeF,EAAO,IAAIG,GAAsBF,EAAgB,CAAE,cAAAA,CAAc,EAAI,CAAC,CAAC,CAAC,EAC3F,kBAAkB,EAClB,oBAAoB,CACzB,CAEA,eAAsBG,IAAmBJ,EAAkBK,EAAoC,CAAC,EAA4E,CAC1K,OAAOH,GAAeF,EAAO,IAAIM,GAAkBD,CAAa,CAAC,EAC9D,kBAAkB,EAClB,oBAAoB,CACzB,CAEO,IAAME,IAAWR,IClBjB,SAASS,GAAkBC,EAA+BC,EAA+B,CAC9F,GAAID,EAAK,SAAWC,EAAK,OAAQ,MAAM,IAAI,MAAM,gDAAgD,EACjG,IAAMC,EAAQ,MAAM,KAAKF,CAAI,EACvBG,EAAQ,MAAM,KAAKF,CAAI,EAC7B,OAAO,KAAK,KACVC,EACG,IAAI,CAACE,EAAKC,IAAMD,EAAMD,EAAME,EAAE,EAC9B,OAAO,CAACC,EAAKC,IAASD,EAAOC,EAAOA,EAAO,CAAC,CACjD,CACF,CCJO,IAAMC,GAAN,KAAkB,CAIvB,YAAYC,EAAkJC,EAAoB,GAAK,CACrL,KAAK,mBAAqBA,EAC1B,IAAMC,EAAa,MAAM,QAAQF,CAAM,EAAIA,EAAS,CAACA,CAAM,EAC3D,GAAI,CAACE,EAAW,OAAQ,MAAM,IAAI,MAAM,yDAAyD,EACjG,IAAIC,EAAQ,EACNC,EAAoB,IAAM,UAAUD,MAC1C,KAAK,oBAAsBD,EAAW,IAAKG,GAAS,CAClD,GAAIA,aAAgBC,GAAwB,OAAOD,EACnD,GAAIA,aAAgB,aAAc,OAAO,IAAIC,GAAuBF,EAAkB,EAAG,CAACC,CAAI,CAAC,EAC/F,GAAIA,EAAK,YAAcA,EAAK,sBAAsB,aAAc,OAAO,IAAIC,GAAuBF,EAAkB,EAAG,CAACC,EAAK,UAAU,CAAC,EACxI,MAAM,IAAI,MAAM,qMAAqM,CACvN,CAAC,CACH,CAEA,IAAW,oBAA+C,CAAE,OAAO,KAAK,mBAAqB,CAE7F,IAAW,mBAA4B,CAAE,OAAO,KAAK,kBAAoB,CAElE,oBAAoBE,EAA+BC,EAAqC,CAC7F,OAAOA,EACJ,IAAKC,GAAMC,GAAkBD,EAAGF,CAAe,CAAC,EAChD,OAAO,CAACI,EAAIC,IAAOD,EAAKC,EAAI,CAAC,GAAKJ,EAAY,QAAU,EAC7D,CAEO,gBAAgBD,EAA0C,CAC/D,OAAO,KAAK,mBACT,IAAI,CAAC,CAAE,YAAAC,EAAa,MAAAK,CAAM,IAAM,IAAIC,GAAUD,EAAO,KAAK,oBAAoBN,EAAiBC,CAAW,CAAC,CAAC,EAC5G,OAAO,CAACO,EAAMC,IAAUD,EAAK,SAAWC,EAAK,SAAWD,EAAOC,CAAK,CACzE,CAEO,cAAcT,EAA0C,CAC7D,IAAMU,EAAY,KAAK,gBAAgBV,CAAe,EACtD,OAAQU,EAAU,SAAW,KAAK,mBAAsBA,EAAY,IAAIH,GAAU,UAAWG,EAAU,QAAQ,CACjH,CAEO,QAAc,CACnB,MAAO,CACL,kBAAmB,KAAK,mBACxB,mBAAoB,KAAK,oBAAoB,IAAKC,GAAOA,EAAG,OAAO,CAAC,CACtE,CACF,CAEA,OAAc,SAASC,EAAwB,CAC7C,IAAMC,EAAqBD,EAAK,mBAAmB,IAAKD,GAAYZ,GAAuB,SAASY,CAAE,CAAC,EACvG,OAAO,IAAInB,GAAYqB,EAAoBD,EAAK,iBAAiB,CACnE,CACF,EClDO,SAASE,IAAuBC,EAAuB,CAC5D,IAAMC,EAAM,IAAIC,GAChB,OAAAD,EAAI,eAAeD,CAAO,EACnBC,CACT,CCHO,SAASE,IAAiBC,EAAYC,EAA4B,CACvE,GAAM,CAAE,MAAAC,EAAO,OAAAC,CAAO,EAAI,IAAIC,GAAWH,EAAW,MAAOA,EAAW,MAAM,EAE5E,GAAIC,GAAS,GAAKC,GAAU,EAC1B,MAAM,IAAI,MAAM,uCAAuC,KAAK,UAAU,CAAE,MAAAD,EAAO,OAAAC,CAAO,CAAC,GAAG,EAG5F,GAAI,MAAM,QAAQH,CAAO,EAEvB,OAAQA,EAAuB,IAAKK,GAAQN,IAAcM,EAAK,CAAE,MAAAH,EAAO,OAAAC,CAAO,CAAgB,CAAC,EAGlG,GAAIG,GAAoBN,CAAO,EAAG,CAChC,IAAMO,EAAmBP,EAAQ,UAAU,QAAQE,EAAOC,CAAM,EAC1DK,EAAmBR,EAAQ,mBAAmB,QAAQO,EAAiB,IAAI,MAAOA,EAAiB,IAAI,MAAM,EACnH,OAAOE,GAAwBC,GAAwBV,EAASO,CAAgB,EAAGC,CAAgB,CACrG,CAEA,OAAIG,GAAoBX,CAAO,EACtBU,GAAwBV,EAASA,EAAQ,UAAU,QAAQE,EAAOC,CAAM,CAAC,EAG9EH,aAAmBY,IAAiBZ,aAAmBa,GACjDb,EAAgB,QAAQE,EAAOC,CAAM,EAGxCH,CACT,CCTO,IAAMc,IAAcA", - "names": ["tfjs_esm_exports", "__export", "oi", "ra", "na", "uu", "cu", "pu", "mu", "Yn", "Vo", "oa", "sa", "Go", "Nl", "ia", "aa", "la", "ca", "ua", "Wo", "kl", "lp", "ap", "sg", "Uo", "si", "up", "cp", "i1", "yb", "$y", "io", "Ho", "ao", "pp", "Tl", "ii", "qo", "mp", "Ko", "El", "fp", "dp", "jo", "Xo", "ma", "pa", "Yo", "Ry", "ta", "hp", "fa", "Zo", "gp", "xp", "yp", "_l", "Hd", "Ud", "eS", "bb", "bp", "Qo", "wp", "Gd", "ha", "da", "ts", "ai", "ga", "Cp", "Al", "xa", "es", "rs", "qd", "ns", "wi", "Ci", "Bc", "ya", "li", "$h", "ba", "os", "Dy", "Ip", "lo", "vp", "ye", "wa", "Ca", "Ia", "Mo", "$l", "Np", "gh", "Mn", "ss", "va", "Sa", "Sp", "is", "Na", "l1", "ka", "Ta", "Ea", "a1", "rlt", "Eu", "as", "us", "Dl", "Tp", "kp", "Ep", "ls", "cs", "ps", "ms", "fs", "_a", "fu", "_p", "ds", "ui", "$a", "Da", "Ra", "Aa", "IS", "hs", "ci", "Gr", "Vs", "pi", "gs", "nlt", "xs", "ys", "bs", "du", "Nn", "Ap", "$p", "Rl", "mS", "Dp", "Jo", "Fa", "Xe", "ws", "vs", "mi", "Is", "Fp", "Cs", "Rp", "Ss", "Ua", "Ns", "ks", "Mi", "Oa", "Op", "fi", "Pa", "Ui", "Es", "Ma", "Ts", "La", "di", "$s", "za", "hi", "Fl", "Ba", "Ol", "Pl", "Pp", "gi", "_s", "Ll", "Ds", "uo", "Va", "Ml", "zl", "Bl", "Rs", "As", "Jr", "Fs", "Os", "Ft", "pe", "Zn", "Ga", "Wa", "Jn", "Lp", "xi", "Vl", "olt", "Ha", "yi", "bi", "Ee", "rx", "nx", "X", "DE", "Yp", "Hu", "Ei", "ox", "sx", "ix", "ax", "lx", "ux", "jl", "px", "pE", "S", "OE", "Ai", "mx", "fx", "dx", "Xl", "hx", "Uj", "LE", "$i", "zr", "Jg", "wt", "NZ", "J", "gx", "Cr", "sn", "bn", "ne", "xx", "yx", "bx", "wx", "G$", "Jp", "Cn", "tm", "Cx", "vx", "plt", "Yl", "em", "ch", "ju", "rm", "ln", "vR", "ME", "MS", "Sx", "Di", "_Z", "Hl", "zE", "Nx", "ept", "St", "rpt", "pt", "kx", "Tx", "n0", "BE", "Ri", "tpt", "Qct", "o0", "ho", "M", "Ar", "Ex", "_x", "er", "gr", "Ax", "Yu", "su", "go", "lpt", "upt", "Fi", "Xp", "sM", "au", "Oi", "Qj", "Qg", "ipt", "oS", "jd", "Fg", "zat", "eT", "aK", "lK", "He", "Fn", "Za", "Kl", "lu", "r6", "W$", "$0", "Er", "gm", "$x", "Dx", "Rx", "De", "Wr", "CD", "Zl", "nm", "On", "i0", "WE", "I7", "v7", "O8", "Fx", "Ir", "Jl", "Lx", "om", "sm", "Dr", "Ql", "im", "Mx", "rX", "UE", "Lt", "fE", "Br", "tu", "Bx", "HE", "In", "Se", "nh", "qE", "ID", "Xu", "Pi", "Vx", "Gx", "R8", "vD", "Zu", "qj", "R", "KE", "jE", "Ut", "ph", "Ya", "zs", "ki", "lr", "xr", "k", "XE", "un", "YE", "ZE", "JE", "QE", "Wx", "an", "ru", "Kg", "Ux", "npt", "t_", "e_", "r_", "b_", "tc", "w_", "Li", "nu", "spt", "Xa", "Xx", "jp", "P8", "c1", "Pu", "EZ", "SD", "Rr", "am", "apt", "D", "ur", "C_", "I_", "v_", "S_", "iu", "lm", "um", "mt", "jj", "oh", "ah", "cm", "pm", "F8", "Q", "G4", "cpt", "Mat", "Pat", "Lat", "hk", "N_", "Xr", "Yx", "eX", "mm", "fm", "Dt", "dm", "uh", "hm", "ec", "Pe", "ou", "Ms", "eu", "nX", "Zj", "tX", "cr", "ve", "Mt", "xm", "Pn", "rr", "yo", "Zx", "oX", "ct", "ft", "Gu", "Jx", "_i", "wr", "Le", "Bs", "Zg", "k_", "T_", "E_", "fo", "AE", "B", "$r", "opt", "Qx", "ic", "Ot", "ym", "ty", "clt", "ult", "bm", "vr", "or", "__", "y", "uK", "cK", "ey", "Ox", "Yat", "nR", "$E", "Wm", "Bat", "oM", "oTe", "cd", "_e", "ny", "Ne", "It", "wU", "jv", "CU", "IU", "vU", "SU", "$g", "r", "__require", "e", "dr", "Gt", "NU", "n", "o", "Sl", "C1", "flt", "w1", "We", "co", "t", "Dn", "p1", "m1", "Mu", "Ue", "po", "Lu", "mo", "g1", "b1", "d1", "$n", "y1", "Bp", "Og", "aS", "s", "i", "a", "u", "l", "Ps", "f1", "KU", "h1", "zp", "x1", "iS", "gt", "c", "p", "m", "f", "d", "eE", "rE", "o_", "n_", "ZS", "i_", "s_", "JS", "l_", "a_", "QS", "c_", "u_", "t0", "m_", "p_", "e0", "h", "g", "d_", "f_", "r0", "h_", "x_", "g_", "Hx", "w", "C", "N", "_", "b", "$", "P", "V", "G", "W", "q", "H", "lh", "K0t", "y_", "XK", "YK", "ZK", "JK", "QK", "tj", "Ju", "pN", "qb", "eg", "_W", "AW", "$W", "DW", "lI", "AT", "_T", "it", "Kt", "qe", "Te", "fe", "Ae", "En", "nr", "Wn", "Or", "L", "U", "x", "A", "F", "Du", "Y", "ut", "xt", "$t", "ie", "Lo", "j", "Z", "et", "rt", "ot", "at", "nt", "Yc", "dt", "ht", "bt", "Tt", "_t", "Bt", "Vt", "jt", "fr", "Kn", "Yt", "ce", "he", "Ge", "Pr", "Lr", "Un", "Hn", "jr", "Xi", "wl", "_d", "Fd", "Nr", "Yi", "LT", "Ad", "Cl", "Xc", "Zi", "MT", "zT", "pI", "ig", "$d", "en", "ag", "mI", "fI", "bg", "vI", "qt", "Qi", "dI", "BT", "hI", "gI", "Hv", "xI", "Dd", "lg", "ug", "Rd", "Il", "VT", "pg", "cg", "yI", "Ng", "Od", "bI", "qv", "kg", "GT", "WT", "wI", "YT", "Zc", "CI", "II", "XT", "UT", "SI", "NI", "qT", "kI", "mg", "fg", "TI", "EI", "_I", "jT", "AI", "$I", "DI", "Ru", "RI", "FI", "dg", "OI", "Jc", "PI", "LI", "Tg", "KT", "Pd", "MI", "qI", "zI", "BI", "VI", "hg", "gg", "GI", "WI", "xg", "yg", "UI", "_n", "rp", "QT", "JT", "Kv", "bU", "HI", "HT", "KI", "jI", "XI", "YI", "ZI", "JI", "QI", "tv", "ev", "rv", "nv", "ov", "sv", "iv", "av", "lv", "uv", "cv", "pv", "mv", "fv", "dv", "hv", "gv", "xv", "yv", "bv", "wv", "Cv", "Iv", "vv", "Sv", "Nv", "kv", "Tv", "Ev", "_v", "Av", "$v", "Dv", "Rv", "Fv", "Ov", "Pv", "Lv", "Mv", "zv", "Bv", "wg", "Cg", "Ld", "Vv", "Gv", "Qc", "Ig", "tp", "ep", "Wv", "K", "lt", "Et", "re", "Ke", "je", "ee", "te", "mr", "qn", "Ji", "vg", "Md", "Uv", "rn", "vl", "Sg", "VW", "GW", "WW", "UW", "HW", "qW", "KW", "jW", "XW", "YW", "ZW", "JW", "QW", "tU", "eU", "rU", "nU", "oU", "sU", "iU", "aU", "lU", "uU", "cU", "pU", "mU", "fU", "dU", "hU", "gU", "xU", "Eg", "ZT", "_g", "Ag", "yU", "FW", "HXe", "RW", "OW", "uI", "DT", "$T", "ta", "Mo", "jn", "t1", "Dg", "kU", "np", "TU", "EU", "_U", "AU", "E", "$e", "An", "Xn", "zo", "hr", "Zt", "$U", "ea", "DU", "RU", "FU", "Ou", "OU", "PU", "ar", "Xv", "Yv", "Zv", "Jv", "Qv", "LU", "Rg", "tS", "Bo", "e1", "r1", "op", "ri", "sp", "ni", "n1", "Fu", "zd", "ip", "MU", "Bd", "zU", "BU", "Vd", "o1", "Gd", "GU", "M", "UU", "WU", "eS", "s1", "rS", "nS", "HU", "Wd", "oi", "ra", "na", "Yn", "Vo", "oa", "sa", "Go", "Nl", "ia", "aa", "la", "ua", "ca", "Wo", "ap", "kl", "lp", "Uo", "si", "up", "i1", "cp", "io", "Ho", "ao", "pp", "Tl", "ii", "qo", "mp", "Ko", "El", "fp", "dp", "jo", "Xo", "pa", "Yo", "ma", "hp", "fa", "Zo", "gp", "xp", "yp", "_l", "Ud", "Hd", "Jo", "bp", "Qo", "wp", "da", "ha", "ts", "ai", "ga", "Cp", "Al", "xa", "es", "rs", "ns", "li", "ya", "ba", "os", "lo", "Ip", "vp", "wa", "Ca", "Ia", "ss", "va", "Sa", "Sp", "is", "Na", "ka", "Ta", "Ea", "a1", "l1", "rlt", "$l", "Np", "as", "ls", "us", "kp", "Dl", "Tp", "Ep", "cs", "ps", "ms", "fs", "_a", "_p", "ds", "ui", "Aa", "$a", "Da", "Ra", "ci", "hs", "pi", "gs", "nlt", "xs", "ys", "bs", "Ap", "$p", "Rl", "Dp", "Fa", "ws", "mi", "Cs", "Rp", "Is", "Fp", "vs", "Ss", "Ns", "ks", "Oa", "Op", "fi", "Pa", "di", "Ts", "La", "Ma", "Es", "za", "_s", "As", "hi", "gi", "$s", "Fl", "Ba", "Ol", "Pl", "Pp", "Ds", "Ll", "Va", "Ml", "zl", "Bl", "Rs", "Fs", "Os", "Zn", "Ga", "Wa", "Jn", "Lp", "xi", "Vl", "olt", "yi", "uo", "qd", "Ua", "bi", "wi", "Ci", "Ii", "qU", "Mp", "Kd", "jd", "sS", "oS", "Fg", "Pu", "c1", "ult", "clt", "plt", "y", "QU", "Gp", "Wl", "e4", "JU", "Xd", "Vu", "Vp", "uS", "Bu", "v1", "zu", "nn", "lS", "S1", "Oe", "I1", "kr", "Gl", "jU", "Pg", "XU", "YU", "ZU", "t4", "Lg", "cS", "r4", "N1", "k1", "T1", "Yd", "pS", "E1", "n4", "Mg", "Jd", "Zd", "_1", "pe", "Ls", "Wp", "o4", "A1", "$1", "D1", "Ft", "O", "Ha", "fo", "xS", "Qd", "i4", "Wt", "mS", "fS", "dS", "hS", "gS", "s4", "or", "Gu", "R1", "a4", "yS", "zg", "Ul", "T", "l4", "u4", "bS", "Hl", "CS", "m4", "p4", "c4", "wS", "Rn", "Mr", "O1", "F1", "I", "qa", "IS", "k", "f4", "bn", "on", "wr", "th", "Bg", "L1", "d4", "Vg", "y4", "vS", "P1", "M1", "z1", "Up", "SS", "Gg", "NS", "Hp", "vi", "Wg", "h4", "g4", "x4", "Ce", "B1", "V1", "G1", "W1", "kS", "TS", "Wu", "ql", "U1", "ES", "Si", "H1", "b4", "w4", "Ug", "Ka", "qp", "q1", "C4", "I4", "v4", "S4", "K1", "j1", "N4", "k4", "Ni", "X1", "T4", "Hg", "Kp", "Tr", "qg", "Y1", "Z1", "J1", "Q1", "tE", "_S", "E4", "AS", "$S", "wt", "_4", "J", "A4", "sn", "Kg", "$4", "Er", "oE", "aE", "lE", "LS", "Xg", "jg", "sE", "OS", "uE", "cE", "D4", "R4", "F4", "nE", "ja", "DS", "O4", "P4", "RS", "FS", "L4", "M4", "eh", "z4", "iE", "rh", "Yg", "PS", "fE", "mE", "B4", "Lt", "V4", "ki", "Qct", "tpt", "ept", "MS", "rpt", "ho", "nh", "npt", "B", "St", "De", "opt", "G4", "spt", "ipt", "apt", "lpt", "upt", "jp", "pE", "cpt", "W4", "Kl", "U4", "Ut", "H4", "Xa", "q4", "Ot", "K4", "zr", "Pt", "dE", "ge", "Jg", "tH", "J4", "Q4", "Zg", "Uu", "hE", "j4", "X4", "Y4", "Z4", "Qg", "gE", "oh", "xE", "tx", "zS", "Pe", "rH", "aH", "oH", "sH", "iH", "nH", "VS", "lH", "NE", "IE", "kE", "vE", "SE", "bE", "BS", "eH", "wE", "CE", "uH", "yE", "Q", "sh", "Ti", "wn", "AE", "TE", "gH", "_E", "hH", "pH", "fH", "EE", "mH", "dH", "xH", "ex", "cH", "GS", "WS", "$E", "yH", "X", "bH", "Xp", "wH", "pt", "CH", "R", "IH", "Ee", "vH", "rx", "SH", "nx", "NH", "DE", "kH", "Yp", "TH", "Hu", "EH", "Ei", "_H", "ox", "AH", "sx", "$H", "ix", "DH", "ax", "RH", "lx", "FH", "ux", "OH", "FE", "Ku", "HS", "cx", "PH", "US", "RE", "Zp", "zH", "BH", "LH", "qS", "qu", "MH", "Qn", "_r", "Ie", "VH", "D", "GH", "jl", "WH", "px", "UH", "ne", "HH", "Xr", "qH", "Dt", "KH", "_i", "jH", "OE", "XH", "Xl", "PE", "YH", "Ai", "ZH", "mx", "JH", "fx", "QH", "dx", "tq", "hx", "eq", "LE", "rq", "$i", "nq", "gx", "go", "oq", "Cr", "sq", "xx", "iq", "yx", "aq", "bx", "lq", "wx", "uq", "Cn", "cq", "Jp", "pq", "Qp", "mq", "tm", "fq", "Cx", "dq", "Ix", "hq", "vx", "gq", "Yl", "xq", "em", "yq", "ju", "bq", "rm", "wq", "ME", "Cq", "Sx", "Iq", "Di", "vq", "zE", "Sq", "Nx", "Nq", "Ar", "kq", "_e", "Tq", "It", "Eq", "kx", "_q", "Tx", "Aq", "BE", "$q", "Ri", "Dq", "Ex", "KS", "VE", "jS", "xo", "Rq", "XS", "ih", "Fq", "Oq", "Br", "Pq", "Xu", "Lq", "an", "mt", "Mq", "ve", "zq", "Mt", "Bq", "ft", "Vq", "GE", "Ya", "Gq", "_x", "Wq", "er", "Uq", "gr", "Hq", "Ax", "qq", "$r", "Kq", "Yu", "jq", "Fi", "Xq", "Oi", "Yq", "He", "Zq", "Fn", "Jq", "$x", "Qq", "Dx", "tK", "Rx", "eK", "Zl", "rK", "nm", "nK", "On", "WE", "oK", "Fx", "sK", "Ir", "iK", "Jl", "aK", "Px", "lK", "uK", "cK", "Ox", "ln", "pK", "Ms", "mK", "Lx", "fK", "ct", "dK", "om", "hK", "sm", "gK", "Dr", "xK", "Ql", "yK", "im", "bK", "Mx", "zx", "wK", "ah", "UE", "CK", "tu", "IK", "Bx", "vK", "HE", "SK", "In", "NK", "Se", "Ne", "lr", "qE", "kK", "Pi", "TK", "Vx", "EK", "Gx", "_K", "Zu", "AK", "KE", "$K", "jE", "DK", "zs", "RK", "xr", "FK", "XE", "OK", "un", "PK", "YE", "LK", "ZE", "MK", "JE", "zK", "QE", "BK", "eu", "VK", "WK", "GK", "Wx", "UK", "ru", "HK", "Ux", "qK", "t_", "KK", "e_", "jK", "r_", "jx", "Qu", "qx", "Kx", "ej", "b_", "rj", "tc", "nj", "w_", "oj", "Li", "nu", "sj", "Xx", "ij", "Rr", "aj", "am", "lj", "ur", "uj", "C_", "cj", "I_", "pj", "v_", "mj", "S_", "fj", "lm", "dj", "um", "hj", "cm", "gj", "pm", "xj", "N_", "yj", "Yx", "bj", "mm", "wj", "fm", "Cj", "dm", "Ij", "uh", "vj", "hm", "Sj", "ec", "Nj", "ou", "kj", "su", "Tj", "Za", "Ej", "gm", "_j", "cr", "Aj", "iu", "$j", "xm", "Dj", "Pn", "Rj", "rr", "Fj", "yo", "Oj", "Zx", "Pj", "Jx", "Le", "Bs", "k_", "T_", "E_", "Lj", "Qx", "Mj", "ym", "zj", "ty", "Bj", "bm", "Vj", "vr", "__", "ey", "ry", "Gj", "ny", "Wj", "Uj", "Hj", "qj", "Kj", "jj", "A_", "Yj", "Zj", "Jj", "Qj", "$_", "t6", "n0", "o0", "ch", "e6", "r6", "au", "D_", "R_", "F_", "n6", "wm", "rc", "nc", "oc", "sc", "o6", "s6", "oy", "i6", "sy", "a6", "l6", "u6", "O_", "c6", "iy", "p6", "ay", "m6", "P_", "f6", "L_", "d6", "M_", "h6", "z_", "g6", "B_", "bo", "x6", "V_", "G_", "y6", "w6", "b6", "ly", "s0", "uy", "cy", "W_", "C6", "I6", "v6", "U_", "S6", "H_", "N6", "q_", "k6", "K_", "T6", "j_", "E6", "py", "_6", "my", "A6", "$6", "X_", "D6", "Y_", "R6", "Z_", "F6", "J_", "O6", "Q_", "tA", "Xe", "P6", "Vr", "L6", "eA", "M6", "rA", "z6", "nA", "B6", "oA", "V6", "sA", "G6", "iA", "W6", "U6", "aA", "H6", "q6", "lA", "K6", "uA", "j6", "cA", "X6", "pA", "Y6", "mA", "Z6", "fA", "J6", "dA", "Q6", "hA", "tX", "eX", "lu", "i0", "rX", "nX", "oX", "Gr", "uu", "cu", "pu", "mu", "Mi", "fu", "du", "Vs", "ic", "sX", "ph", "S", "wX", "CX", "IX", "vX", "SX", "bX", "fy", "zi", "l0", "a0", "iX", "AX", "PX", "lX", "TX", "EX", "mX", "aX", "FX", "DX", "$X", "n5", "r5", "_X", "LX", "OX", "fX", "hX", "cX", "dX", "gX", "uX", "xX", "yX", "VX", "GX", "WX", "qX", "jX", "KX", "UX", "HX", "JX", "XX", "YX", "ZX", "MX", "NX", "BX", "c0", "kX", "pX", "u0", "RX", "gA", "xA", "zX", "e5", "t5", "QX", "Wr", "dy", "yA", "bA", "wA", "CA", "IA", "vA", "SA", "NA", "kA", "TA", "EA", "o5", "_A", "AA", "s5", "$A", "DA", "RA", "FA", "OA", "PA", "LA", "MA", "zA", "BA", "VA", "GA", "i5", "WA", "UA", "HA", "qA", "KA", "jA", "XA", "YA", "ZA", "JA", "QA", "t2", "e2", "r2", "n2", "i2", "o2", "s2", "a2", "l2", "u2", "c2", "p2", "m2", "f2", "d2", "h2", "a5", "g2", "x2", "hy", "p0", "y2", "l5", "b2", "w2", "u5", "C2", "I2", "v2", "S2", "N2", "k2", "T2", "E2", "_2", "A2", "$2", "D2", "m0", "R2", "F2", "c5", "p5", "O2", "P2", "L2", "M2", "z2", "B2", "V2", "G2", "W2", "U2", "H2", "q2", "K2", "j2", "X2", "Y2", "Z2", "J2", "Q2", "t$", "f0", "d0", "e$", "r$", "n$", "o$", "s$", "i$", "a$", "l$", "u$", "c$", "p$", "m$", "m5", "f$", "f5", "vn", "Ur", "z", "vt", "Cm", "mh", "Co", "eo", "g0", "Sr", "xe", "Io", "Ja", "wo", "Im", "h0", "Bi", "d5", "fh", "vo", "d$", "Vi", "gy", "Ze", "h$", "g$", "xy", "h5", "by", "yy", "hu", "x$", "y$", "b$", "w$", "C$", "vm", "Re", "v$", "cn", "x0", "dh", "I$", "Ws", "g5", "wy", "S$", "Cy", "x5", "N$", "So", "ac", "Us", "Yr", "y0", "sr", "pn", "tl", "el", "k$", "vy", "T$", "E$", "Qa", "b0", "hh", "Sm", "C0", "Nm", "No", "w0", "Sy", "lc", "mn", "_$", "A$", "Ny", "$$", "gu", "D$", "R$", "y5", "b5", "fn", "km", "xu", "Tm", "Em", "_m", "Am", "$m", "w5", "Hr", "uc", "cc", "pc", "mc", "fc", "dc", "Dm", "F$", "O$", "ke", "de", "ky", "Rm", "At", "Jt", "Fm", "L$", "gh", "I5", "xh", "Om", "ye", "Jr", "v5", "rl", "S5", "Rt", "N5", "k5", "I0", "Hs", "Ty", "T5", "ko", "Ey", "_y", "z$", "hc", "E5", "A5", "M$", "_5", "$5", "G$", "D5", "O5", "F5", "R5", "v0", "gc", "Pm", "Lm", "Mm", "zm", "B$", "Me", "V$", "ze", "W$", "M5", "H5", "U5", "q5", "K5", "G5", "j5", "X5", "L5", "Y5", "B5", "z5", "V5", "W5", "P5", "CD", "Nn", "il", "pY", "wY", "nZ", "CY", "L0", "M0", "z0", "AY", "DY", "FY", "$Y", "RY", "OY", "TY", "XY", "IY", "rY", "nY", "oY", "sY", "iY", "HY", "qY", "lY", "mY", "cY", "kY", "fY", "Y8", "bY", "hY", "rZ", "eZ", "PY", "LY", "ZY", "JY", "xD", "yD", "zY", "BY", "$0", "X8", "EY", "J8", "VY", "GY", "oZ", "QY", "tZ", "bD", "wD", "MY", "vY", "SY", "NY", "yY", "Q8", "Z8", "gY", "sZ", "xY", "KY", "aY", "WY", "UY", "tY", "dY", "jY", "eY", "YY", "uY", "_Y", "Gi", "Ay", "U$", "Z5", "nl", "$y", "S0", "Dy", "Ry", "Fy", "dn", "Oy", "hn", "yh", "Wi", "Bm", "yu", "J5", "Q5", "t8", "e8", "r8", "xc", "Vm", "n8", "Gm", "o8", "s8", "wh", "bh", "Py", "Ch", "Ih", "q$", "i8", "a8", "N0", "K$", "My", "zy", "l8", "u8", "c8", "p8", "m8", "f8", "vh", "d8", "k0", "Ly", "j$", "Sh", "Y$", "E0", "T0", "Z$", "x8", "By", "y8", "b8", "g8", "J$", "yc", "Vy", "Wm", "Ln", "w8", "Gy", "Wy", "Q$", "C8", "rD", "tD", "I8", "nD", "eD", "v8", "S8", "oD", "Uy", "Um", "Hy", "qy", "N8", "sD", "To", "_0", "k8", "A0", "iD", "aD", "T8", "E8", "lD", "_8", "A8", "Mn", "Ky", "uD", "cD", "$8", "D8", "Ui", "R8", "F8", "O8", "P8", "Qr", "jy", "Xy", "Yy", "Zy", "Jy", "Qy", "tb", "eb", "rb", "nb", "Hm", "ob", "sb", "ib", "qs", "D0", "Ks", "R0", "ab", "bu", "fD", "dD", "pD", "me", "mD", "be", "qm", "Km", "jm", "Xm", "Ym", "Zm", "wu", "Sn", "js", "Nh", "F0", "M8", "hD", "z8", "bc", "Cu", "ol", "sl", "Jm", "Qm", "lb", "tf", "Iu", "ef", "rf", "B8", "nf", "O0", "P0", "Ic", "wc", "ll", "of", "Cc", "sf", "al", "af", "V8", "ub", "vc", "lf", "Sc", "uf", "cf", "pf", "mf", "ff", "df", "hf", "gf", "xf", "ul", "yf", "bf", "wf", "Cf", "If", "vf", "kh", "G8", "Sf", "Nf", "kf", "Tf", "Th", "W8", "U8", "H8", "Ef", "_f", "q8", "Af", "hb", "gD", "cb", "$f", "Df", "pb", "Rf", "Ff", "mb", "Of", "Pf", "fb", "Lf", "Mf", "db", "zf", "Bf", "gb", "Vf", "K8", "j8", "Gf", "Wf", "ID", "gZ", "bZ", "iZ", "aZ", "uZ", "cZ", "fZ", "xZ", "dZ", "hZ", "yZ", "wZ", "pZ", "mZ", "lZ", "vD", "SD", "IZ", "CZ", "vZ", "yb", "xb", "ND", "bb", "SZ", "NZ", "kZ", "ro", "kD", "B0", "EZ", "wb", "_Z", "v", "yr", "gn", "Cb", "TD", "Eo", "Eh", "Xs", "V0", "AZ", "G0", "$Z", "W0", "DZ", "U0", "RZ", "H0", "FZ", "q0", "OZ", "K0", "PZ", "j0", "LZ", "X0", "MZ", "Y0", "zZ", "Z0", "BZ", "J0", "VZ", "Q0", "GZ", "tN", "WZ", "eN", "UZ", "rN", "HZ", "nN", "qZ", "oN", "KZ", "sN", "jZ", "_h", "Ib", "_b", "Sb", "Eb", "vb", "$b", "Tb", "Ab", "Nb", "kb", "ED", "iN", "XZ", "_D", "AD", "Db", "ae", "$D", "DD", "zn", "RD", "Uf", "Rb", "Fb", "cl", "FD", "OD", "PD", "LD", "MD", "zD", "BD", "VD", "aN", "GD", "WD", "UD", "Ob", "HD", "qD", "KD", "jD", "XD", "YD", "ZD", "JD", "QD", "tR", "eR", "lN", "Ah", "uN", "cN", "y7", "b7", "rR", "h7", "g7", "x7", "Nc", "Pb", "w7", "C7", "$h", "I7", "S7", "v7", "nR", "vR", "Kf", "Ys", "Jf", "qf", "Qf", "fR", "yR", "bR", "wR", "IR", "$N", "CR", "dR", "mR", "uR", "oR", "Lb", "vu", "sR", "mN", "iR", "Mb", "aR", "N7", "lR", "k7", "Hf", "kc", "NN", "fN", "Dh", "dN", "cR", "Bb", "pR", "pl", "vN", "Je", "CN", "bN", "wN", "zb", "IN", "yN", "xN", "gN", "Vb", "SN", "hN", "Tc", "kn", "T7", "E7", "Gb", "Rh", "hR", "Wb", "kN", "gR", "jf", "Xf", "Yf", "Fh", "TN", "EN", "Ub", "_N", "AN", "Zf", "xR", "_7", "Hb", "tt", "A7", "Su", "iw", "FN", "rd", "Kb", "RN", "ON", "Ec", "PN", "MN", "BN", "VN", "jb", "Xb", "WN", "GN", "HN", "UN", "Yb", "qN", "Zb", "KN", "jN", "Oh", "XN", "YN", "ZN", "Jb", "Qb", "Ac", "JN", "ml", "ZR", "DN", "$c", "tw", "ew", "sd", "tF", "tk", "rw", "Dc", "Rc", "Fc", "rk", "nw", "ow", "nd", "sw", "$7", "SR", "Qt", "br", "NR", "td", "qr", "kR", "_o", "TR", "Ao", "ER", "oe", "ed", "D7", "Hi", "_R", "xn", "kt", "$o", "R7", "AR", "LN", "$R", "zN", "DR", "F7", "RR", "O7", "FR", "P7", "OR", "L7", "PR", "M7", "LR", "z7", "MR", "B7", "zR", "V7", "BR", "G7", "VR", "W7", "_c", "GR", "U7", "WR", "H7", "UR", "Be", "HR", "q7", "qR", "K7", "j7", "X7", "Y7", "KR", "Z7", "J7", "Do", "od", "XR", "jR", "Q7", "YR", "QN", "JR", "Ro", "QR", "tJ", "eF", "eJ", "rF", "ek", "rJ", "nJ", "Ph", "nF", "Lh", "oF", "nk", "sF", "ok", "iF", "sJ", "sk", "aF", "ik", "lF", "ak", "uF", "Oc", "Xt", "cF", "lk", "pF", "iJ", "mF", "aJ", "fF", "lJ", "dF", "uJ", "hF", "cJ", "gF", "pJ", "xF", "mJ", "yF", "fJ", "bF", "dJ", "wF", "hJ", "CF", "gJ", "IF", "xJ", "yJ", "vF", "bJ", "SF", "id", "aw", "lw", "NF", "wJ", "kF", "CJ", "TF", "IJ", "EF", "vJ", "_F", "SJ", "AF", "NJ", "$F", "kJ", "DF", "TJ", "RF", "EJ", "FF", "_J", "OF", "qi", "PF", "Nu", "LF", "uk", "MF", "AJ", "zF", "$J", "BF", "DJ", "VF", "RJ", "GF", "FJ", "WF", "OJ", "UF", "PJ", "HF", "LJ", "qF", "MJ", "KF", "zJ", "jF", "BJ", "XF", "VJ", "YF", "ck", "ZF", "GJ", "JF", "WJ", "QF", "UJ", "tO", "eO", "rO", "nO", "fl", "oO", "HJ", "sO", "qJ", "iO", "KJ", "jJ", "XJ", "YJ", "ZJ", "JJ", "QJ", "aO", "ad", "lO", "tQ", "Mh", "zh", "uw", "eQ", "rQ", "pk", "nQ", "oQ", "uO", "Bh", "sQ", "cO", "pO", "iQ", "aQ", "mO", "lQ", "fO", "uQ", "dO", "cQ", "hO", "pQ", "gO", "mQ", "xO", "fQ", "yO", "dQ", "bO", "hQ", "wO", "gQ", "CO", "xQ", "IO", "yQ", "bQ", "vO", "wQ", "SO", "CQ", "IQ", "NO", "vQ", "kO", "SQ", "TO", "mk", "EO", "NQ", "_O", "kQ", "AO", "TQ", "$O", "EQ", "DO", "RO", "FO", "_Q", "OO", "AQ", "PO", "$Q", "LO", "DQ", "RQ", "MO", "BO", "fk", "zO", "FQ", "VO", "OQ", "PQ", "GO", "LQ", "MQ", "WO", "zQ", "BQ", "UO", "VQ", "HO", "Vh", "qO", "KO", "jO", "dk", "XO", "GQ", "cw", "WQ", "UQ", "YO", "HQ", "ZO", "qQ", "JO", "KQ", "QO", "jQ", "tP", "XQ", "eP", "YQ", "rP", "ZQ", "nP", "JQ", "oP", "QQ", "sP", "iP", "t9", "aP", "e9", "lP", "r9", "n9", "uP", "o9", "cP", "s9", "pP", "i9", "a9", "l9", "mP", "u9", "fP", "c9", "dP", "p9", "hP", "m9", "gP", "f9", "xP", "d9", "yP", "h9", "bP", "g9", "wP", "x9", "CP", "y9", "IP", "b9", "vP", "w9", "SP", "NP", "C9", "kP", "I9", "TP", "v9", "EP", "S9", "_P", "N9", "AP", "k9", "$P", "T9", "DP", "E9", "RP", "_9", "FP", "A9", "OP", "O9", "P9", "PP", "$9", "D9", "F9", "R9", "Gh", "L9", "LP", "M9", "MP", "z9", "zP", "B9", "cd", "Zs", "X9", "qh", "Ak", "WP", "gw", "yt", "yk", "wk", "Tk", "Ck", "Sk", "vk", "Nk", "bk", "hl", "ld", "UP", "Rk", "K9", "_k", "Ek", "gl", "Kh", "$k", "Fk", "GP", "Dk", "Vn", "Ok", "Pk", "Tu", "Lk", "yw", "Ik", "hw", "Y9", "Z9", "xw", "j9", "ud", "Hh", "kk", "Pc", "pw", "hk", "Bn", "G9", "V9", "ku", "Kr", "Fr", "Lc", "BP", "Wh", "Ki", "VP", "Uh", "W9", "U9", "H9", "dl", "q9", "HP", "mw", "fw", "dw", "xk", "J9", "Nt", "Ve", "Js", "Mc", "Q9", "qP", "pd", "md", "bw", "KP", "jP", "ww", "ttt", "ntt", "itt", "ett", "stt", "rtt", "ott", "ctt", "dd", "Itt", "Stt", "ktt", "Ett", "Att", "$tt", "Dtt", "XP", "Ctt", "vtt", "Ntt", "Ttt", "_tt", "Rtt", "Ftt", "YP", "ptt", "btt", "ftt", "htt", "mtt", "wtt", "dtt", "gtt", "xtt", "ytt", "att", "ltt", "utt", "zc", "hd", "gd", "xd", "zt", "JP", "Mk", "ZP", "QP", "tL", "we", "Cw", "Iw", "vw", "Sw", "Nw", "kw", "eT", "Kk", "Yk", "Wk", "qk", "Gk", "Vk", "Hk", "Uk", "Bk", "zk", "Jk", "Zk", "tT", "Qk", "Ew", "$w", "Tw", "Aw", "_w", "jk", "Xk", "jh", "Bc", "Ltt", "eL", "Dw", "rL", "nL", "oL", "sL", "iL", "aL", "lL", "uL", "cL", "pL", "mL", "fL", "dL", "hL", "gL", "xL", "yL", "bL", "wL", "CL", "IL", "vL", "SL", "NL", "kL", "TL", "EL", "_L", "AL", "Rw", "$L", "DL", "RL", "Fw", "FL", "OL", "PL", "LL", "ML", "zL", "BL", "VL", "Vc", "GL", "rT", "Qe", "WL", "Ow", "yd", "Mtt", "Pw", "HL", "qL", "UL", "ztt", "Btt", "Vtt", "tn", "pr", "KL", "nT", "jL", "XL", "YL", "Gc", "ZL", "QL", "tM", "eM", "rM", "nM", "no", "Lw", "Wtt", "Utt", "Htt", "Mw", "qtt", "Ktt", "jtt", "Xtt", "Eu", "Ytt", "oM", "sM", "oTe", "bd", "oo", "ji", "Fo", "tr", "iM", "Tn", "aM", "oT", "sT", "Ztt", "lM", "iT", "aT", "Jtt", "uM", "Oo", "Ct", "le", "xl", "wd", "lT", "Xh", "cM", "Yh", "pM", "mM", "st", "fM", "Zh", "zw", "tet", "Gn", "Bw", "eet", "Vw", "_u", "dM", "Wc", "hM", "Fe", "gM", "uT", "Uc", "ret", "xM", "yM", "net", "bM", "oet", "set", "wM", "iet", "aet", "CM", "IM", "uet", "vM", "Gw", "Ww", "Uw", "SM", "cet", "NM", "pet", "kM", "Hw", "qw", "TM", "EM", "Kw", "met", "_M", "fet", "AM", "det", "het", "$M", "get", "xet", "DM", "yet", "bet", "RM", "wet", "Cet", "Iet", "FM", "vet", "Net", "OM", "Qs", "Au", "ket", "PM", "Tet", "LM", "jw", "Xw", "Eet", "MM", "_et", "zM", "Aet", "BM", "Yw", "Zw", "$et", "VM", "Jw", "Det", "cT", "Qw", "Ret", "ti", "GM", "Fet", "WM", "Oet", "UM", "Pet", "HM", "Let", "pT", "qM", "yl", "KM", "Met", "jM", "mT", "XM", "YM", "zet", "ZM", "tC", "eC", "Bet", "JM", "rC", "QM", "Vet", "tz", "nC", "sC", "oC", "Hc", "ez", "Cd", "Get", "fT", "rz", "Id", "iC", "vd", "aC", "lC", "uC", "cC", "Wet", "nz", "pC", "mC", "fC", "dC", "Uet", "oz", "Het", "sz", "qet", "iz", "Ket", "az", "jet", "lz", "Xet", "Yet", "uz", "Zet", "Jet", "cz", "hC", "Qet", "pz", "qc", "Jh", "mz", "fz", "gC", "trt", "dz", "ert", "hz", "rrt", "gz", "xC", "nrt", "xz", "Sd", "Nd", "ort", "yz", "yC", "bC", "srt", "bz", "irt", "wz", "wC", "art", "Cz", "CC", "lrt", "Iz", "urt", "vz", "crt", "prt", "mrt", "Sz", "frt", "drt", "hrt", "Nz", "grt", "xrt", "yrt", "kz", "brt", "wrt", "Tz", "Crt", "Irt", "dT", "Ez", "IC", "_z", "Az", "vrt", "$z", "Qh", "vC", "Srt", "Dz", "SC", "bl", "Rz", "NC", "Fz", "Oz", "Nrt", "Pz", "krt", "Trt", "Ert", "Lz", "kC", "TC", "Mz", "_rt", "kd", "hT", "Art", "zz", "$rt", "Bz", "EC", "Drt", "Vz", "_C", "Rrt", "gT", "Gz", "Frt", "Ort", "Prt", "Wz", "Lrt", "Mrt", "zrt", "Uz", "Brt", "Hz", "Vrt", "Grt", "qz", "Wrt", "Urt", "Kz", "Hrt", "qrt", "jz", "Krt", "jrt", "Xrt", "Xz", "Yrt", "Zrt", "Jrt", "Yz", "Qrt", "Zz", "tnt", "ent", "rnt", "Jz", "nnt", "ont", "Qz", "snt", "int", "ant", "t3", "lnt", "unt", "e3", "cnt", "pnt", "mnt", "r3", "AC", "$C", "fnt", "n3", "DC", "dnt", "o3", "s3", "xT", "i3", "hnt", "gnt", "xnt", "a3", "ynt", "l3", "bnt", "u3", "RC", "FC", "wnt", "c3", "Cnt", "p3", "m3", "f3", "d3", "h3", "Int", "g3", "vnt", "Snt", "Nnt", "x3", "OC", "PC", "knt", "y3", "Tnt", "Ent", "_nt", "b3", "LC", "Ant", "$nt", "yT", "w3", "C3", "bT", "I3", "wT", "v3", "Dnt", "S3", "Rnt", "Fnt", "Ont", "N3", "Pnt", "Lnt", "k3", "Mnt", "znt", "T3", "Bnt", "Vnt", "E3", "MC", "Gnt", "_3", "tg", "A3", "$3", "D3", "Wnt", "R3", "zC", "BC", "CT", "F3", "Unt", "Hnt", "qnt", "O3", "Knt", "P3", "jnt", "L3", "Xnt", "M3", "IT", "z3", "Ynt", "Znt", "B3", "Jnt", "Qnt", "tot", "V3", "eot", "rot", "not", "G3", "VC", "GC", "oot", "W3", "WC", "sot", "U3", "UC", "HC", "iot", "H3", "qC", "aot", "q3", "KC", "jC", "lot", "K3", "XC", "j3", "uot", "cot", "X3", "pot", "mot", "Y3", "Td", "fot", "Z3", "YC", "dot", "J3", "ZC", "hot", "Q3", "got", "xot", "tB", "yot", "bot", "wot", "eB", "Cot", "Iot", "rB", "vot", "Sot", "nB", "Not", "kot", "oB", "Tot", "Eot", "sB", "_ot", "iB", "Aot", "aB", "$ot", "lB", "Dot", "uB", "Rot", "cB", "Fot", "pB", "Oot", "mB", "fB", "Pot", "dB", "Lot", "Mot", "hB", "gB", "zot", "xB", "Bot", "yB", "JC", "Vot", "bB", "Got", "wB", "Wot", "CB", "Uot", "IB", "Hot", "qot", "vB", "Kot", "jot", "SB", "QC", "Xot", "vT", "NB", "tI", "eI", "Kc", "kB", "Yot", "TB", "rI", "Zot", "EB", "Jot", "_B", "Qot", "AB", "nI", "tst", "$B", "est", "Ht", "$u", "DB", "rst", "nst", "RB", "se", "FB", "ue", "ost", "OB", "PB", "sst", "ist", "LB", "jc", "MB", "zB", "ast", "so", "ust", "lst", "BB", "yn", "VB", "cst", "pst", "GB", "WB", "mst", "fst", "UB", "HB", "dst", "hst", "qB", "KB", "gst", "xst", "jB", "ir", "XB", "YB", "yst", "bst", "ZB", "Po", "wst", "Cst", "Ist", "JB", "vst", "QB", "ei", "tV", "eV", "rV", "Sst", "Nst", "nV", "ST", "oV", "sV", "kst", "Tst", "iV", "aV", "Est", "_st", "lV", "uV", "cV", "NT", "pV", "Ast", "$st", "mV", "fV", "Dst", "Rst", "dV", "hV", "Fst", "Ost", "gV", "xV", "Pst", "Lst", "yV", "bV", "Mst", "zst", "wV", "CV", "Bst", "IV", "vV", "oI", "SV", "kT", "NV", "kV", "Vst", "Gst", "TV", "EV", "Wst", "_V", "AV", "Ust", "Hst", "$V", "DV", "qst", "Kst", "RV", "FV", "jst", "Xst", "OV", "PV", "Yst", "Zst", "LV", "MV", "Jst", "Qst", "zV", "tit", "BV", "eit", "VV", "GV", "rit", "nit", "WV", "oit", "UV", "sit", "HV", "qV", "iit", "KV", "jV", "ait", "XV", "lit", "YV", "ZV", "uit", "cit", "JV", "pit", "QV", "tG", "mit", "fit", "eG", "rG", "dit", "hit", "nG", "oG", "git", "xit", "sG", "yit", "iG", "TT", "aG", "bit", "wit", "lG", "Cit", "uG", "cG", "Ed", "pG", "Iit", "vit", "mG", "fG", "Sit", "Nit", "dG", "hG", "kit", "Tit", "gG", "Eit", "xG", "yG", "_it", "Ait", "bG", "$it", "wG", "Dit", "CG", "IG", "Rit", "Fit", "sI", "Oit", "vG", "SG", "Pit", "Lit", "NG", "kG", "Mit", "zit", "TG", "Bit", "EG", "Vit", "_G", "AG", "$G", "DG", "Git", "Wit", "RG", "FG", "Uit", "Hit", "OG", "PG", "qit", "Kit", "LG", "MG", "jit", "Xit", "zG", "BG", "VG", "GG", "Yit", "Zit", "WG", "UG", "Jit", "Qit", "HG", "qG", "tat", "eat", "KG", "jG", "XG", "rat", "nat", "YG", "oat", "ZG", "JG", "sat", "iat", "QG", "tW", "aat", "lat", "eW", "rW", "iI", "aI", "uat", "nW", "cat", "oW", "pat", "sW", "iW", "aW", "mat", "lW", "uW", "fat", "dat", "cW", "pW", "hat", "gat", "mW", "xat", "fW", "yat", "dW", "bat", "hW", "wat", "gW", "xW", "Cat", "Iat", "yW", "bW", "wW", "CW", "vat", "Sat", "IW", "vW", "Nat", "kat", "SW", "NW", "Tat", "Eat", "kW", "_at", "TW", "Aat", "EW", "$at", "ET", "FT", "MW", "OT", "PW", "Dat", "sg", "BW", "RT", "Fat", "Rat", "LW", "cI", "ng", "zW", "rg", "PT", "og", "Oat", "Pat", "Lat", "Mat", "zat", "Bat", "Vat", "Gat", "Wat", "Uat", "Hat", "qat", "Kat", "jat", "Xat", "Yat", "draw_exports", "__export", "AnchorPosition", "DrawBox", "DrawBoxOptions", "DrawFaceLandmarks", "DrawFaceLandmarksOptions", "DrawTextField", "DrawTextFieldOptions", "drawContour", "drawDetections", "drawFaceExpressions", "drawFaceLandmarks", "drawContour", "ctx", "points", "isClosed", "x", "y", "prevIdx", "from", "to", "utils_exports", "__export", "computeReshapedDimensions", "getCenterPoint", "isDimensions", "isEven", "isFloat", "isTensor", "isTensor1D", "isTensor2D", "isTensor3D", "isTensor4D", "isValidNumber", "isValidProbablitiy", "range", "round", "Dimensions", "width", "height", "isValidNumber", "isTensor", "tensor", "dim", "Ft", "isTensor1D", "isTensor2D", "isTensor3D", "isTensor4D", "isFloat", "num", "isEven", "round", "prec", "f", "isDimensions", "obj", "computeReshapedDimensions", "width", "height", "inputSize", "scale", "Dimensions", "getCenterPoint", "pts", "sum", "pt", "Point", "range", "start", "step", "_", "i", "isValidNumber", "isValidProbablitiy", "Point", "x", "y", "pt", "Box", "rect", "isValidNumber", "box", "callee", "allowNegativeDimensions", "_box", "isBbox", "isRect", "x", "y", "width", "height", "Point", "val", "diff", "s", "scaleX", "isDimensions", "scaleY", "padX", "padY", "imgWidth", "imgHeight", "right", "bottom", "clippedX", "clippedY", "newWidth", "newHeight", "clippedWidth", "clippedHeight", "sx", "sy", "imageHeight", "imageWidth", "w", "h", "dx", "dy", "edx", "edy", "ex", "ey", "region", "BoundingBox", "Box", "left", "top", "right", "bottom", "allowNegativeDimensions", "ObjectDetection", "score", "classScore", "className", "relativeBox", "imageDims", "Dimensions", "Box", "width", "height", "FaceDetection", "ObjectDetection", "score", "relativeBox", "imageDims", "width", "height", "iou", "box1", "box2", "isIOU", "width", "height", "interSection", "minBbox", "pts", "xs", "pt", "ys", "minX", "min", "x", "minY", "y", "maxX", "max", "maxY", "BoundingBox", "nonMaxSuppression", "boxes", "scores", "iouThreshold", "isIOU", "indicesSortedByScore", "score", "boxIndex", "c1", "c2", "c", "pick", "curr", "indices", "outputs", "i", "idx", "currBox", "idxBox", "iou", "_", "j", "normalize", "x", "meanRgb", "B", "r", "g", "b", "avg_r", "go", "avg_g", "avg_b", "avg_rgb", "ne", "ct", "padToSquare", "imgTensor", "isCenterImage", "B", "height", "width", "dimDiff", "paddingAmount", "paddingAxis", "createPaddingTensor", "paddingAmountLocal", "paddingTensorShape", "go", "paddingTensorAppend", "remainingPaddingAmount", "tensorsToStack", "t", "J", "ne", "shuffleArray", "inputArray", "array", "i", "j", "x", "sigmoid", "x", "inverseSigmoid", "Rect", "Box", "x", "y", "width", "height", "allowNegativeDimensions", "relX", "relY", "relScale", "FaceLandmarks", "relativeFaceLandmarkPositions", "imgDims", "shift", "Point", "width", "height", "Dimensions", "pt", "x", "y", "detection", "options", "box", "FaceDetection", "Box", "useDlibAlignment", "minBoxPadding", "centers", "leftEyeCenter", "rightEyeCenter", "mouthCenter", "distToMouth", "eyeToMouthDist", "size", "refPoint", "getCenterPoint", "Rect", "padding", "minBbox", "FaceLandmarks5", "FaceLandmarks", "pts", "getCenterPoint", "FaceLandmarks68", "FaceLandmarks", "getCenterPoint", "FaceMatch", "label", "distance", "withDistance", "round", "LabeledBox", "Box", "box", "label", "callee", "isValidNumber", "LabeledFaceDescriptors", "label", "descriptors", "desc", "d", "json", "PredictedBox", "LabeledBox", "box", "label", "score", "classScore", "callee", "isValidProbablitiy", "isWithFaceDetection", "obj", "FaceDetection", "extendWithFaceDetection", "sourceObj", "detection", "createBrowserEnv", "fetch", "isNodejs", "createFileSystem", "fs", "requireFsError", "isNodejs", "err", "filePath", "resolve", "reject", "buffer", "createNodejsEnv", "Canvas", "Image", "Video", "createCanvasElement", "createImageElement", "createVideoElement", "fetch", "fileSystem", "createFileSystem", "isBrowser", "environment", "getEnv", "setEnv", "env", "initialize", "isBrowser", "createBrowserEnv", "isNodejs", "createNodejsEnv", "monkeyPatch", "Canvas", "Image", "createFileSystem", "resolveInput", "arg", "env", "getContext2dOrThrow", "canvasArg", "Canvas", "CanvasRenderingContext2D", "env", "canvas", "resolveInput", "ctx", "AnchorPosition", "DrawTextFieldOptions", "options", "anchorPosition", "backgroundColor", "fontColor", "fontSize", "fontStyle", "padding", "DrawTextField", "text", "anchor", "ctx", "l", "w0", "w1", "canvasDims", "isShiftLeft", "isShiftTop", "textFieldWidth", "textFieldHeight", "x", "y", "width", "height", "newX", "newY", "canvasArg", "canvas", "resolveInput", "getContext2dOrThrow", "maxTextWidth", "textHeight", "upperLeft", "textLine", "i", "DrawBoxOptions", "options", "boxColor", "lineWidth", "label", "drawLabelOptions", "defaultDrawLabelOptions", "DrawTextFieldOptions", "DrawBox", "box", "Box", "canvasArg", "ctx", "getContext2dOrThrow", "x", "y", "width", "height", "DrawTextField", "drawDetections", "canvasArg", "detections", "det", "score", "FaceDetection", "isWithFaceDetection", "box", "Box", "label", "round", "DrawBox", "isMediaLoaded", "media", "Image", "Video", "env", "awaitMediaLoaded", "media", "resolve", "reject", "env", "isMediaLoaded", "onError", "e", "onLoad", "bufferToImage", "buf", "resolve", "reject", "reader", "img", "env", "getMediaDimensions", "input", "Image", "Video", "env", "Dimensions", "createCanvas", "width", "height", "createCanvasElement", "env", "canvas", "createCanvasFromMedia", "media", "dims", "ImageData", "isMediaLoaded", "getMediaDimensions", "getContext2dOrThrow", "imageTensorToCanvas", "imgTensor", "canvas", "targetCanvas", "env", "height", "width", "numChannels", "isTensor4D", "imgTensor3D", "B", "Jg", "isMediaElement", "input", "Image", "Canvas", "Video", "env", "imageToSquare", "input", "inputSize", "centerImage", "Image", "Canvas", "env", "createCanvas", "dims", "getMediaDimensions", "scale", "width", "height", "targetCanvas", "inputCanvas", "createCanvasFromMedia", "offset", "dx", "dy", "getContext2dOrThrow", "NetInput", "inputs", "treatAsBatchInput", "input", "idx", "isTensor3D", "isTensor4D", "batchSize", "canvas", "env", "createCanvasFromMedia", "range", "_", "batchIdx", "width", "height", "computeReshapedDimensions", "inputSize", "isCenterInputs", "B", "inputTensors", "Ft", "imgTensor", "gr", "padToSquare", "lu", "Jg", "imageToSquare", "rr", "t", "J", "toNetInput", "inputs", "NetInput", "inputArgArray", "getIdxHint", "idx", "inputArray", "resolveInput", "input", "i", "isMediaElement", "isTensor3D", "isTensor4D", "batchSize", "awaitMediaLoaded", "extractFaces", "input", "detections", "Canvas", "env", "canvas", "netInput", "toNetInput", "tensorOrCanvas", "imageTensorToCanvas", "ctx", "getContext2dOrThrow", "det", "FaceDetection", "box", "x", "y", "width", "height", "faceImg", "createCanvas", "extractFaceTensors", "imageTensor", "detections", "isTensor3D", "isTensor4D", "B", "imgHeight", "imgWidth", "numChannels", "det", "FaceDetection", "box", "x", "y", "width", "height", "hm", "fetchOrThrow", "url", "init", "fetch", "env", "res", "fetchImage", "uri", "res", "fetchOrThrow", "blob", "bufferToImage", "fetchJson", "uri", "fetchOrThrow", "fetchNetWeights", "uri", "fetchOrThrow", "bufferToVideo", "buf", "resolve", "reject", "video", "env", "fetchVideo", "uri", "res", "fetchOrThrow", "blob", "bufferToVideo", "getModelUris", "uri", "defaultModelName", "defaultManifestFilename", "protocol", "parts", "s", "manifestFile", "modelBaseUri", "loadWeightMap", "uri", "defaultModelName", "manifestUri", "modelBaseUri", "getModelUris", "manifest", "fetchJson", "Er", "matchDimensions", "input", "reference", "useMediaDimensions", "width", "height", "getMediaDimensions", "NeuralNetwork", "name", "paramPath", "obj", "objProp", "tensor", "param", "Ha", "path", "variable", "wr", "throwOnRedispose", "flat", "arr", "weightsOrUrl", "uri", "weightMap", "loadWeightMap", "filePath", "readFile", "env", "manifestUri", "modelBaseUri", "getModelUris", "fetchWeightsFromDisk", "filePaths", "fp", "buf", "loadWeights", "Er", "manifest", "paramMappings", "params", "weights", "result", "res", "Ft", "depthwiseSeparableConv", "x", "params", "stride", "B", "out", "pm", "X", "denseBlock3", "x", "denseBlockParams", "isFirstLayer", "B", "out1", "Rr", "X", "Cn", "depthwiseSeparableConv", "out2", "in3", "out3", "denseBlock4", "isScaleDown", "in4", "out4", "convLayer", "x", "params", "padding", "withRelu", "B", "out", "X", "Cn", "Rr", "disposeUnusedWeightTensors", "weightMap", "paramMappings", "path", "pm", "extractConvParamsFactory", "extractWeights", "paramMappings", "channelsIn", "channelsOut", "filterSize", "mappedPrefix", "filters", "k_", "bias", "Le", "extractFCParamsFactory", "extractWeights", "paramMappings", "channelsIn", "channelsOut", "mappedPrefix", "fc_weights", "Bs", "fc_bias", "Le", "SeparableConvParams", "depthwise_filter", "pointwise_filter", "bias", "extractSeparableConvParamsFactory", "extractWeights", "paramMappings", "channelsIn", "channelsOut", "mappedPrefix", "depthwise_filter", "k_", "pointwise_filter", "bias", "Le", "SeparableConvParams", "loadSeparableConvParamsFactory", "extractWeightEntry", "prefix", "extractWeightEntryFactory", "weightMap", "paramMappings", "originalPath", "paramRank", "mappedPath", "tensor", "isTensor", "extractWeightsFactory", "weights", "remainingWeights", "extractWeights", "numWeights", "ret", "getRemainingWeights", "extractorsFactory", "extractWeights", "paramMappings", "extractConvParams", "extractConvParamsFactory", "extractSeparableConvParams", "extractSeparableConvParamsFactory", "extractDenseBlock3Params", "channelsIn", "channelsOut", "mappedPrefix", "isFirstLayer", "conv0", "conv1", "conv2", "extractDenseBlock4Params", "conv3", "extractParams", "weights", "paramMappings", "extractWeights", "getRemainingWeights", "extractWeightsFactory", "extractDenseBlock4Params", "extractorsFactory", "dense0", "dense1", "dense2", "dense3", "loadConvParamsFactory", "extractWeightEntry", "prefix", "filters", "bias", "loadParamsFactory", "weightMap", "paramMappings", "extractWeightEntry", "extractWeightEntryFactory", "extractConvParams", "loadConvParamsFactory", "extractSeparableConvParams", "loadSeparableConvParamsFactory", "extractDenseBlock3Params", "prefix", "isFirstLayer", "conv0", "conv1", "conv2", "extractDenseBlock4Params", "conv3", "extractParamsFromWeightMap", "weightMap", "paramMappings", "extractDenseBlock4Params", "loadParamsFactory", "params", "disposeUnusedWeightTensors", "FaceFeatureExtractor", "NeuralNetwork", "input", "params", "B", "batchTensor", "J", "normalized", "normalize", "out", "denseBlock4", "jl", "toNetInput", "weightMap", "extractParamsFromWeightMap", "weights", "extractParams", "fullyConnectedLayer", "x", "params", "B", "X", "Lt", "extractParams", "weights", "channelsIn", "channelsOut", "paramMappings", "extractWeights", "getRemainingWeights", "extractWeightsFactory", "fc", "extractFCParamsFactory", "extractParamsFromWeightMap", "weightMap", "paramMappings", "extractWeightEntry", "extractWeightEntryFactory", "extractFcParams", "prefix", "weights", "bias", "params", "disposeUnusedWeightTensors", "seperateWeightMaps", "weightMap", "featureExtractorMap", "classifierMap", "key", "map", "FaceProcessor", "NeuralNetwork", "_name", "faceFeatureExtractor", "input", "params", "B", "bottleneckFeatures", "NetInput", "fullyConnectedLayer", "throwOnRedispose", "weights", "paramMappings", "extractParams", "weightMap", "featureExtractorMap", "classifierMap", "seperateWeightMaps", "extractParamsFromWeightMap", "cIn", "cOut", "classifierWeightSize", "featureExtractorWeights", "classifierWeights", "FACE_EXPRESSION_LABELS", "FaceExpressions", "probabilities", "expression", "idx", "e0", "e1", "FaceExpressionNet", "FaceProcessor", "faceFeatureExtractor", "FaceFeatureExtractor", "input", "B", "ou", "toNetInput", "netInput", "out", "probabilitesByBatch", "vr", "t", "data", "predictionsByBatch", "probabilites", "FaceExpressions", "isWithFaceExpressions", "obj", "FaceExpressions", "extendWithFaceExpressions", "sourceObj", "expressions", "drawFaceExpressions", "canvasArg", "faceExpressions", "minConfidence", "textFieldAnchor", "e", "expr", "FaceExpressions", "isWithFaceExpressions", "resultsToDisplay", "exprLocal", "anchor", "isWithFaceDetection", "Point", "DrawTextField", "round", "isWithFaceLandmarks", "obj", "isWithFaceDetection", "FaceLandmarks", "FaceDetection", "calculateFaceAngle", "mesh", "radians", "a1", "a2", "b1", "b2", "degrees", "theta", "angle", "pt", "bottom", "prev", "cur", "top", "extendWithFaceLandmarks", "sourceObj", "unshiftedLandmarks", "shift", "landmarks", "rect", "imageDims", "alignedRect", "DrawFaceLandmarksOptions", "options", "drawLines", "drawPoints", "lineWidth", "lineColor", "pointSize", "pointColor", "DrawFaceLandmarks", "faceLandmarks", "canvasArg", "ctx", "getContext2dOrThrow", "FaceLandmarks68", "drawContour", "drawPoint", "pt", "drawFaceLandmarks", "f", "landmarks", "FaceLandmarks", "isWithFaceLandmarks", "extractorsFactory", "extractWeights", "paramMappings", "extractConvParams", "extractConvParamsFactory", "extractSeparableConvParams", "extractSeparableConvParamsFactory", "extractReductionBlockParams", "channelsIn", "channelsOut", "mappedPrefix", "separable_conv0", "separable_conv1", "expansion_conv", "extractMainBlockParams", "channels", "separable_conv2", "extractParams", "weights", "numMainBlocks", "getRemainingWeights", "extractWeightsFactory", "entry_flow_conv_in", "entry_flow_reduction_block_0", "entry_flow_reduction_block_1", "entry_flow", "middle_flow", "range", "idx", "exit_flow_reduction_block", "exit_flow_separable_conv", "exit_flow", "loadParamsFactory", "weightMap", "paramMappings", "extractWeightEntry", "extractWeightEntryFactory", "extractConvParams", "loadConvParamsFactory", "extractSeparableConvParams", "loadSeparableConvParamsFactory", "extractReductionBlockParams", "mappedPrefix", "separable_conv0", "separable_conv1", "expansion_conv", "extractMainBlockParams", "separable_conv2", "extractParamsFromWeightMap", "numMainBlocks", "entry_flow_conv_in", "entry_flow_reduction_block_0", "entry_flow_reduction_block_1", "entry_flow", "middle_flow", "range", "idx", "exit_flow_reduction_block", "exit_flow_separable_conv", "exit_flow", "disposeUnusedWeightTensors", "conv", "x", "params", "stride", "X", "Cn", "reductionBlock", "isActivateInput", "out", "Rr", "depthwiseSeparableConv", "tu", "mainBlock", "TinyXception", "NeuralNetwork", "numMainBlocks", "input", "B", "batchTensor", "J", "normalized", "normalize", "range", "idx", "toNetInput", "weightMap", "extractParamsFromWeightMap", "weights", "extractParams", "extractParams", "weights", "paramMappings", "extractWeights", "getRemainingWeights", "extractWeightsFactory", "extractFCParams", "extractFCParamsFactory", "age", "gender", "extractParamsFromWeightMap", "weightMap", "paramMappings", "extractWeightEntry", "extractWeightEntryFactory", "extractFcParams", "prefix", "weights", "bias", "params", "disposeUnusedWeightTensors", "Gender", "AgeGenderNet", "NeuralNetwork", "faceFeatureExtractor", "TinyXception", "input", "params", "B", "bottleneckFeatures", "NetInput", "pooled", "jl", "age", "fullyConnectedLayer", "gender", "ou", "toNetInput", "netInput", "out", "ages", "vr", "genders", "ageAndGenderTensors", "ageTensor", "i", "predictionsByBatch", "genderTensor", "probMale", "isMale", "genderProbability", "throwOnRedispose", "weights", "paramMappings", "extractParams", "weightMap", "featureExtractorMap", "classifierMap", "seperateWeightMaps", "extractParamsFromWeightMap", "featureExtractorWeights", "classifierWeights", "FaceLandmark68NetBase", "FaceProcessor", "output", "inputSize", "originalDimensions", "inputDimensions", "width", "height", "scale", "batchSize", "B", "createInterleavedTensor", "fillX", "fillY", "rr", "go", "getPadding", "batchIdx", "cond", "getPaddingX", "w", "getPaddingY", "_", "input", "out", "toNetInput", "netInput", "landmarkTensors", "vr", "landmarksForBatch", "landmarkTensor", "landmarksArray", "xCoords", "i", "isEven", "yCoords", "FaceLandmarks68", "Point", "t", "FaceLandmark68Net", "FaceLandmark68NetBase", "faceFeatureExtractor", "FaceFeatureExtractor", "extractParamsFromWeightMapTiny", "weightMap", "paramMappings", "extractDenseBlock3Params", "loadParamsFactory", "params", "disposeUnusedWeightTensors", "extractParamsTiny", "weights", "paramMappings", "extractWeights", "getRemainingWeights", "extractWeightsFactory", "extractDenseBlock3Params", "extractorsFactory", "dense0", "dense1", "dense2", "TinyFaceFeatureExtractor", "NeuralNetwork", "input", "params", "B", "batchTensor", "J", "normalized", "normalize", "out", "denseBlock3", "jl", "toNetInput", "weightMap", "extractParamsFromWeightMapTiny", "weights", "extractParamsTiny", "FaceLandmark68TinyNet", "FaceLandmark68NetBase", "faceFeatureExtractor", "TinyFaceFeatureExtractor", "FaceLandmarkNet", "FaceLandmark68Net", "scale", "x", "params", "X", "R", "convLayer", "x", "params", "strides", "withRelu", "padding", "filters", "bias", "out", "Cn", "X", "scale", "Rr", "conv", "convNoRelu", "convDown", "extractorsFactory", "extractWeights", "paramMappings", "extractFilterValues", "numFilterValues", "numFilters", "filterSize", "weights", "depth", "isFloat", "B", "Ot", "k_", "extractConvParams", "mappedPrefix", "filters", "bias", "Le", "extractScaleLayerParams", "numWeights", "biases", "extractConvLayerParams", "conv", "scale", "extractResidualLayerParams", "isDown", "conv1", "conv2", "extractParams", "getRemainingWeights", "extractWeightsFactory", "conv32_down", "conv32_1", "conv32_2", "conv32_3", "conv64_down", "conv64_1", "conv64_2", "conv64_3", "conv128_down", "conv128_1", "conv128_2", "conv256_down", "conv256_1", "conv256_2", "conv256_down_out", "fc", "Bs", "extractorsFactory", "weightMap", "paramMappings", "extractWeightEntry", "extractWeightEntryFactory", "extractScaleLayerParams", "prefix", "weights", "biases", "extractConvLayerParams", "filters", "bias", "scale", "extractResidualLayerParams", "extractParamsFromWeightMap", "conv32_down", "conv32_1", "conv32_2", "conv32_3", "conv64_down", "conv64_1", "conv64_2", "conv64_3", "conv128_down", "conv128_1", "conv128_2", "conv256_down", "conv256_1", "conv256_2", "conv256_down_out", "fc", "isTensor2D", "params", "disposeUnusedWeightTensors", "residual", "x", "params", "out", "conv", "convNoRelu", "X", "Rr", "residualDown", "convDown", "pooled", "jl", "zeros", "Ne", "isPad", "padShapeX", "zerosW", "ne", "padShapeY", "zerosH", "FaceRecognitionNet", "NeuralNetwork", "input", "params", "B", "batchTensor", "J", "normalized", "normalize", "out", "convDown", "tu", "residual", "residualDown", "globalAvg", "Lt", "toNetInput", "_a", "dim", "netInput", "faceDescriptorTensors", "vr", "faceDescriptorsForBatch", "t", "weightMap", "extractParamsFromWeightMap", "weights", "extractParams", "createFaceRecognitionNet", "weights", "net", "FaceRecognitionNet", "extendWithFaceDescriptor", "sourceObj", "descriptor", "isWithAge", "obj", "extendWithAge", "sourceObj", "age", "isWithGender", "obj", "isValidProbablitiy", "extendWithGender", "sourceObj", "gender", "genderProbability", "extractorsFactory", "extractWeights", "paramMappings", "extractDepthwiseConvParams", "numChannels", "mappedPrefix", "filters", "k_", "batch_norm_scale", "Le", "batch_norm_offset", "batch_norm_mean", "batch_norm_variance", "extractConvParams", "channelsIn", "channelsOut", "filterSize", "isPointwiseConv", "bias", "extractPointwiseConvParams", "extractConvPairParams", "depthwise_conv", "pointwise_conv", "extractMobilenetV1Params", "conv_0", "conv_1", "conv_2", "conv_3", "conv_4", "conv_5", "conv_6", "conv_7", "conv_8", "conv_9", "conv_10", "conv_11", "conv_12", "conv_13", "extractPredictionLayerParams", "box_encoding_0_predictor", "class_predictor_0", "box_encoding_1_predictor", "class_predictor_1", "box_encoding_2_predictor", "class_predictor_2", "box_encoding_3_predictor", "class_predictor_3", "box_encoding_4_predictor", "class_predictor_4", "box_encoding_5_predictor", "class_predictor_5", "extractParams", "weights", "getRemainingWeights", "extractWeightsFactory", "mobilenetv1", "prediction_layer", "output_layer", "Zg", "extractorsFactory", "weightMap", "paramMappings", "extractWeightEntry", "extractWeightEntryFactory", "extractPointwiseConvParams", "prefix", "idx", "mappedPrefix", "filters", "batch_norm_offset", "extractConvPairParams", "prefixDepthwiseConv", "mappedPrefixDepthwiseConv", "mappedPrefixPointwiseConv", "batch_norm_scale", "batch_norm_mean", "batch_norm_variance", "extractMobilenetV1Params", "extractConvParams", "bias", "extractBoxPredictorParams", "box_encoding_predictor", "class_predictor", "extractPredictionLayerParams", "extractParamsFromWeightMap", "extra_dim", "isTensor3D", "params", "disposeUnusedWeightTensors", "pointwiseConvLayer", "x", "params", "strides", "B", "out", "Cn", "X", "Cr", "epsilon", "depthwiseConvLayer", "x", "params", "strides", "B", "out", "Di", "Ai", "Cr", "getStridesForLayerIdx", "layerIdx", "idx", "mobileNetV1", "conv11", "pointwiseConvLayer", "param", "depthwiseConvStrides", "IOU", "boxes", "i", "j", "boxesData", "yminI", "xminI", "ymaxI", "xmaxI", "yminJ", "xminJ", "ymaxJ", "xmaxJ", "areaI", "areaJ", "intersectionYmin", "intersectionXmin", "intersectionYmax", "intersectionXmax", "intersectionArea", "nonMaxSuppression", "scores", "maxOutputSize", "iouThreshold", "scoreThreshold", "numBoxes", "outputSize", "candidates", "score", "boxIndex", "c", "c1", "c2", "suppressFunc", "x", "selected", "originalScore", "iou", "getCenterCoordinatesAndSizesLayer", "x", "vec", "vr", "Ot", "sizes", "ct", "centers", "X", "pt", "decodeBoxesLayer", "x0", "x1", "div0_out", "R", "er", "add0_out", "div1_out", "add1_out", "rr", "outputLayer", "boxPredictions", "classPredictions", "params", "B", "batchSize", "boxes", "D", "$r", "scoresAndClasses", "Xr", "Dt", "scores", "boxesByBatch", "scoresByBatch", "boxPredictionLayer", "x", "params", "B", "batchSize", "boxPredictionEncoding", "D", "convLayer", "classPrediction", "predictionLayer", "x", "conv11", "params", "B", "conv0", "pointwiseConvLayer", "conv1", "conv2", "conv3", "conv4", "conv5", "conv6", "conv7", "boxPrediction0", "boxPredictionLayer", "boxPrediction1", "boxPrediction2", "boxPrediction3", "boxPrediction4", "boxPrediction5", "boxPredictions", "ne", "classPredictions", "SsdMobilenetv1Options", "minConfidence", "maxResults", "SsdMobilenetv1", "NeuralNetwork", "input", "params", "B", "batchTensor", "J", "x", "ct", "pt", "features", "mobileNetV1", "boxPredictions", "classPredictions", "predictionLayer", "outputLayer", "toNetInput", "options", "maxResults", "minConfidence", "SsdMobilenetv1Options", "netInput", "_boxes", "_scores", "boxes", "scores", "i", "scoresData", "indices", "nonMaxSuppression", "reshapedDims", "inputSize", "padX", "padY", "boxesData", "results", "idx", "top", "bottom", "val", "left", "right", "FaceDetection", "Rect", "weightMap", "extractParamsFromWeightMap", "weights", "extractParams", "createSsdMobilenetv1", "weights", "net", "SsdMobilenetv1", "createFaceDetectionNet", "FaceDetectionNet", "IOU_THRESHOLD", "BOX_ANCHORS", "Point", "BOX_ANCHORS_SEPARABLE", "MEAN_RGB_SEPARABLE", "DEFAULT_MODEL_NAME", "DEFAULT_MODEL_NAME_SEPARABLE_CONV", "isNumber", "arg", "validateConfig", "config", "c", "a", "leaky", "x", "B", "min", "R", "mt", "X", "Rr", "ct", "convWithBatchNorm", "x", "params", "B", "out", "un", "Cn", "ct", "R", "X", "leaky", "depthwiseSeparableConv", "x", "params", "B", "out", "un", "pm", "X", "leaky", "extractorsFactory", "extractWeights", "paramMappings", "extractConvParams", "extractConvParamsFactory", "extractBatchNormParams", "size", "mappedPrefix", "sub", "Le", "truediv", "extractConvWithBatchNormParams", "channelsIn", "channelsOut", "conv", "bn", "extractSeparableConvParams", "extractSeparableConvParamsFactory", "extractParams", "weights", "config", "boxEncodingSize", "filterSizes", "getRemainingWeights", "extractWeightsFactory", "params", "s0", "s1", "s2", "s3", "s4", "s5", "s6", "s7", "s8", "conv0", "conv1", "conv2", "conv3", "conv4", "conv5", "conv6", "conv7", "conv8", "extractorsFactory", "weightMap", "paramMappings", "extractWeightEntry", "extractWeightEntryFactory", "extractBatchNormParams", "prefix", "sub", "truediv", "extractConvParams", "filters", "bias", "extractConvWithBatchNormParams", "conv", "bn", "extractSeparableConvParams", "loadSeparableConvParamsFactory", "extractParamsFromWeightMap", "config", "params", "numFilters", "disposeUnusedWeightTensors", "TinyYolov2Options", "inputSize", "scoreThreshold", "_TinyYolov2Base", "NeuralNetwork", "config", "validateConfig", "x", "params", "out", "convWithBatchNorm", "tu", "convLayer", "leaky", "depthwiseSeparableConv", "input", "inputSize", "B", "batchTensor", "J", "normalize", "toNetInput", "forwardParams", "scoreThreshold", "TinyYolov2Options", "netInput", "out0", "vr", "inputDimensions", "results", "boxes", "res", "scores", "classScores", "classNames", "nonMaxSuppression", "box", "idx", "ObjectDetection", "weightMap", "extractParamsFromWeightMap", "weights", "filterSizes", "numFilters", "extractParams", "outputTensor", "inputBlobDimensions", "width", "height", "correctionFactorX", "correctionFactorY", "numCells", "numBoxes", "boxesTensor", "scoresTensor", "classScoresTensor", "reshaped", "ou", "mt", "scoresData", "boxesData", "row", "col", "anchor", "score", "sigmoid", "ctX", "ctY", "widthLocal", "heightLocal", "y", "pos", "classScore", "label", "BoundingBox", "classesTensor", "classesData", "_", "i", "max", "curr", "TinyYolov2Base", "TinyYolov2", "TinyYolov2Base", "withSeparableConvs", "config", "IOU_THRESHOLD", "BOX_ANCHORS_SEPARABLE", "MEAN_RGB_SEPARABLE", "BOX_ANCHORS", "input", "forwardParams", "det", "FaceDetection", "DEFAULT_MODEL_NAME_SEPARABLE_CONV", "DEFAULT_MODEL_NAME", "weightMap", "createTinyYolov2", "weights", "withSeparableConvs", "net", "TinyYolov2", "TinyFaceDetectorOptions", "TinyYolov2Options", "ComposableTask", "onfulfilled", "extractAllFacesAndComputeResults", "parentResults", "input", "computeResults", "extractedFaces", "getRectForAlignment", "alignedRect", "faceBoxes", "parentResult", "isWithFaceLandmarks", "faces", "Ft", "extractFaceTensors", "extractFaces", "results", "f", "extractSingleFaceAndComputeResult", "computeResult", "IOU_THRESHOLD", "BOX_ANCHORS", "Point", "MEAN_RGB", "TinyFaceDetector", "TinyYolov2Base", "config", "IOU_THRESHOLD", "BOX_ANCHORS", "MEAN_RGB", "input", "forwardParams", "det", "FaceDetection", "weightMap", "nets", "SsdMobilenetv1", "TinyFaceDetector", "TinyYolov2", "FaceLandmark68Net", "FaceLandmark68TinyNet", "FaceRecognitionNet", "FaceExpressionNet", "AgeGenderNet", "ssdMobilenetv1", "input", "options", "tinyFaceDetector", "tinyYolov2", "detectFaceLandmarks", "detectFaceLandmarksTiny", "computeFaceDescriptor", "recognizeFaceExpressions", "predictAgeAndGender", "loadSsdMobilenetv1Model", "url", "loadTinyFaceDetectorModel", "loadTinyYolov2Model", "loadFaceLandmarkModel", "loadFaceLandmarkTinyModel", "loadFaceRecognitionModel", "loadFaceExpressionModel", "loadAgeGenderModel", "loadFaceDetectionModel", "locateFaces", "detectLandmarks", "PredictFaceExpressionsTaskBase", "ComposableTask", "parentTask", "input", "extractedFaces", "PredictAllFaceExpressionsTask", "parentResults", "faceExpressionsByFace", "extractAllFacesAndComputeResults", "faces", "face", "nets", "parentResult", "i", "extendWithFaceExpressions", "PredictAllAgeAndGenderTask", "PredictSingleFaceExpressionsTask", "faceExpressions", "extractSingleFaceAndComputeResult", "PredictSingleAgeAndGenderTask", "PredictAllFaceExpressionsWithFaceAlignmentTask", "PredictAllAgeAndGenderWithFaceAlignmentTask", "ComputeAllFaceDescriptorsTask", "PredictSingleFaceExpressionsWithFaceAlignmentTask", "PredictSingleAgeAndGenderWithFaceAlignmentTask", "ComputeSingleFaceDescriptorTask", "PredictAgeAndGenderTaskBase", "ComposableTask", "parentTask", "input", "extractedFaces", "PredictAllAgeAndGenderTask", "parentResults", "ageAndGenderByFace", "extractAllFacesAndComputeResults", "faces", "face", "nets", "parentResult", "i", "age", "gender", "genderProbability", "extendWithAge", "extendWithGender", "PredictAllFaceExpressionsTask", "PredictSingleAgeAndGenderTask", "extractSingleFaceAndComputeResult", "PredictSingleFaceExpressionsTask", "PredictAllAgeAndGenderWithFaceAlignmentTask", "PredictAllFaceExpressionsWithFaceAlignmentTask", "ComputeAllFaceDescriptorsTask", "PredictSingleAgeAndGenderWithFaceAlignmentTask", "PredictSingleFaceExpressionsWithFaceAlignmentTask", "ComputeSingleFaceDescriptorTask", "ComputeFaceDescriptorsTaskBase", "ComposableTask", "parentTask", "input", "ComputeAllFaceDescriptorsTask", "parentResults", "extractAllFacesAndComputeResults", "faces", "face", "nets", "parentResult", "descriptor", "i", "extendWithFaceDescriptor", "PredictAllFaceExpressionsWithFaceAlignmentTask", "PredictAllAgeAndGenderWithFaceAlignmentTask", "ComputeSingleFaceDescriptorTask", "extractSingleFaceAndComputeResult", "PredictSingleFaceExpressionsWithFaceAlignmentTask", "PredictSingleAgeAndGenderWithFaceAlignmentTask", "DetectFaceLandmarksTaskBase", "ComposableTask", "parentTask", "input", "useTinyLandmarkNet", "nets", "DetectAllFaceLandmarksTask", "parentResults", "detections", "res", "faces", "Ft", "extractFaceTensors", "extractFaces", "faceLandmarksByFace", "face", "f", "_parentResult", "i", "parentResult", "extendWithFaceLandmarks", "PredictAllFaceExpressionsWithFaceAlignmentTask", "PredictAllAgeAndGenderWithFaceAlignmentTask", "ComputeAllFaceDescriptorsTask", "DetectSingleFaceLandmarksTask", "detection", "landmarks", "PredictSingleFaceExpressionsWithFaceAlignmentTask", "PredictSingleAgeAndGenderWithFaceAlignmentTask", "ComputeSingleFaceDescriptorTask", "DetectFacesTaskBase", "ComposableTask", "input", "options", "SsdMobilenetv1Options", "DetectAllFacesTask", "result", "TinyFaceDetectorOptions", "nets", "TinyYolov2Options", "resolve", "reject", "detections", "detection", "extendWithFaceDetection", "err", "useTinyLandmarkNet", "DetectAllFaceLandmarksTask", "PredictAllFaceExpressionsTask", "PredictAllAgeAndGenderTask", "DetectSingleFaceTask", "faceDetections", "faceDetectionWithHighestScore", "faceDetection", "DetectSingleFaceLandmarksTask", "PredictSingleFaceExpressionsTask", "PredictSingleAgeAndGenderTask", "detectSingleFace", "input", "options", "SsdMobilenetv1Options", "DetectSingleFaceTask", "detectAllFaces", "DetectAllFacesTask", "allFacesSsdMobilenetv1", "input", "minConfidence", "detectAllFaces", "SsdMobilenetv1Options", "allFacesTinyYolov2", "forwardParams", "TinyYolov2Options", "allFaces", "euclideanDistance", "arr1", "arr2", "desc1", "desc2", "val", "i", "res", "diff", "FaceMatcher", "inputs", "distanceThreshold", "inputArray", "count", "createUniqueLabel", "desc", "LabeledFaceDescriptors", "queryDescriptor", "descriptors", "d", "euclideanDistance", "d1", "d2", "label", "FaceMatch", "best", "curr", "bestMatch", "ld", "json", "labeledDescriptors", "createTinyFaceDetector", "weights", "net", "TinyFaceDetector", "resizeResults", "results", "dimensions", "width", "height", "Dimensions", "obj", "isWithFaceLandmarks", "resizedDetection", "resizedLandmarks", "extendWithFaceLandmarks", "extendWithFaceDetection", "isWithFaceDetection", "FaceLandmarks", "FaceDetection", "version"] + "sourcesContent": ["/*\n Face-API\n homepage: \n author: '\n*/\n\nvar $U=Object.create;var QS=Object.defineProperty;var DU=Object.getOwnPropertyDescriptor;var RU=Object.getOwnPropertyNames;var FU=Object.getPrototypeOf,OU=Object.prototype.hasOwnProperty;var Pg=(r=>typeof require!=\"undefined\"?require:typeof Proxy!=\"undefined\"?new Proxy(r,{get:(t,e)=>(typeof require!=\"undefined\"?require:t)[e]}):r)(function(r){if(typeof require!=\"undefined\")return require.apply(this,arguments);throw new Error('Dynamic require of \"'+r+'\" is not supported')});var gr=(r,t)=>()=>(t||r((t={exports:{}}).exports,t),t.exports),Wt=(r,t)=>{for(var e in t)QS(r,e,{get:t[e],enumerable:!0})},PU=(r,t,e,n)=>{if(t&&typeof t==\"object\"||typeof t==\"function\")for(let o of RU(t))!OU.call(r,o)&&o!==e&&QS(r,o,{get:()=>t[o],enumerable:!(n=DU(t,o))||n.enumerable});return r};var Tl=(r,t,e)=>(e=r!=null?$U(FU(r)):{},PU(t||!r||!r.__esModule?QS(e,\"default\",{value:r,enumerable:!0}):e,r));var T1=gr(($lt,N1)=>{N1.exports=Ue;var mo=null;try{mo=new WebAssembly.Instance(new WebAssembly.Module(new Uint8Array([0,97,115,109,1,0,0,0,1,13,2,96,0,1,127,96,4,127,127,127,127,1,127,3,7,6,0,1,1,1,1,1,6,6,1,127,1,65,0,11,7,50,6,3,109,117,108,0,1,5,100,105,118,95,115,0,2,5,100,105,118,95,117,0,3,5,114,101,109,95,115,0,4,5,114,101,109,95,117,0,5,8,103,101,116,95,104,105,103,104,0,0,10,191,1,6,4,0,35,0,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,126,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,127,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,128,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,129,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,130,34,4,66,32,135,167,36,0,32,4,167,11])),{}).exports}catch(r){}function Ue(r,t,e){this.low=r|0,this.high=t|0,this.unsigned=!!e}Ue.prototype.__isLong__;Object.defineProperty(Ue.prototype,\"__isLong__\",{value:!0});function Fn(r){return(r&&r.__isLong__)===!0}Ue.isLong=Fn;var g1={},x1={};function zu(r,t){var e,n,o;return t?(r>>>=0,(o=0<=r&&r<256)&&(n=x1[r],n)?n:(e=He(r,(r|0)<0?-1:0,!0),o&&(x1[r]=e),e)):(r|=0,(o=-128<=r&&r<128)&&(n=g1[r],n)?n:(e=He(r,r<0?-1:0,!1),o&&(g1[r]=e),e))}Ue.fromInt=zu;function fo(r,t){if(isNaN(r))return t?Mu:ho;if(t){if(r<0)return Mu;if(r>=C1)return v1}else{if(r<=-b1)return Rn;if(r+1>=b1)return S1}return r<0?fo(-r,t).neg():He(r%Vp|0,r/Vp|0,t)}Ue.fromNumber=fo;function He(r,t,e){return new Ue(r,t,e)}Ue.fromBits=He;var Bg=Math.pow;function m0(r,t,e){if(r.length===0)throw Error(\"empty string\");if(r===\"NaN\"||r===\"Infinity\"||r===\"+Infinity\"||r===\"-Infinity\")return ho;if(typeof t==\"number\"?(e=t,t=!1):t=!!t,e=e||10,e<2||360)throw Error(\"interior hyphen\");if(n===0)return m0(r.substring(1),t,e).neg();for(var o=fo(Bg(e,8)),s=ho,i=0;i>>0:this.low};gt.toNumber=function(){return this.unsigned?(this.high>>>0)*Vp+(this.low>>>0):this.high*Vp+(this.low>>>0)};gt.toString=function(t){if(t=t||10,t<2||36>>0,c=l.toString(t);if(i=u,i.isZero())return c+a;for(;c.length<6;)c=\"0\"+c;a=\"\"+c+a}};gt.getHighBits=function(){return this.high};gt.getHighBitsUnsigned=function(){return this.high>>>0};gt.getLowBits=function(){return this.low};gt.getLowBitsUnsigned=function(){return this.low>>>0};gt.getNumBitsAbs=function(){if(this.isNegative())return this.eq(Rn)?64:this.neg().getNumBitsAbs();for(var t=this.high!=0?this.high:this.low,e=31;e>0&&(t&1<=0};gt.isOdd=function(){return(this.low&1)===1};gt.isEven=function(){return(this.low&1)===0};gt.equals=function(t){return Fn(t)||(t=Ls(t)),this.unsigned!==t.unsigned&&this.high>>>31===1&&t.high>>>31===1?!1:this.high===t.high&&this.low===t.low};gt.eq=gt.equals;gt.notEquals=function(t){return!this.eq(t)};gt.neq=gt.notEquals;gt.ne=gt.notEquals;gt.lessThan=function(t){return this.comp(t)<0};gt.lt=gt.lessThan;gt.lessThanOrEqual=function(t){return this.comp(t)<=0};gt.lte=gt.lessThanOrEqual;gt.le=gt.lessThanOrEqual;gt.greaterThan=function(t){return this.comp(t)>0};gt.gt=gt.greaterThan;gt.greaterThanOrEqual=function(t){return this.comp(t)>=0};gt.gte=gt.greaterThanOrEqual;gt.ge=gt.greaterThanOrEqual;gt.compare=function(t){if(Fn(t)||(t=Ls(t)),this.eq(t))return 0;var e=this.isNegative(),n=t.isNegative();return e&&!n?-1:!e&&n?1:this.unsigned?t.high>>>0>this.high>>>0||t.high===this.high&&t.low>>>0>this.low>>>0?-1:1:this.sub(t).isNegative()?-1:1};gt.comp=gt.compare;gt.negate=function(){return!this.unsigned&&this.eq(Rn)?Rn:this.not().add(Bp)};gt.neg=gt.negate;gt.add=function(t){Fn(t)||(t=Ls(t));var e=this.high>>>16,n=this.high&65535,o=this.low>>>16,s=this.low&65535,i=t.high>>>16,a=t.high&65535,u=t.low>>>16,l=t.low&65535,c=0,p=0,m=0,f=0;return f+=s+l,m+=f>>>16,f&=65535,m+=o+u,p+=m>>>16,m&=65535,p+=n+a,c+=p>>>16,p&=65535,c+=e+i,c&=65535,He(m<<16|f,c<<16|p,this.unsigned)};gt.subtract=function(t){return Fn(t)||(t=Ls(t)),this.add(t.neg())};gt.sub=gt.subtract;gt.multiply=function(t){if(this.isZero())return ho;if(Fn(t)||(t=Ls(t)),mo){var e=mo.mul(this.low,this.high,t.low,t.high);return He(e,mo.get_high(),this.unsigned)}if(t.isZero())return ho;if(this.eq(Rn))return t.isOdd()?Rn:ho;if(t.eq(Rn))return this.isOdd()?Rn:ho;if(this.isNegative())return t.isNegative()?this.neg().mul(t.neg()):this.neg().mul(t).neg();if(t.isNegative())return this.mul(t.neg()).neg();if(this.lt(w1)&&t.lt(w1))return fo(this.toNumber()*t.toNumber(),this.unsigned);var n=this.high>>>16,o=this.high&65535,s=this.low>>>16,i=this.low&65535,a=t.high>>>16,u=t.high&65535,l=t.low>>>16,c=t.low&65535,p=0,m=0,f=0,d=0;return d+=i*c,f+=d>>>16,d&=65535,f+=s*c,m+=f>>>16,f&=65535,f+=i*l,m+=f>>>16,f&=65535,m+=o*c,p+=m>>>16,m&=65535,m+=s*l,p+=m>>>16,m&=65535,m+=i*u,p+=m>>>16,m&=65535,p+=n*c+o*l+s*u+i*a,p&=65535,He(f<<16|d,p<<16|m,this.unsigned)};gt.mul=gt.multiply;gt.divide=function(t){if(Fn(t)||(t=Ls(t)),t.isZero())throw Error(\"division by zero\");if(mo){if(!this.unsigned&&this.high===-2147483648&&t.low===-1&&t.high===-1)return this;var e=(this.unsigned?mo.div_u:mo.div_s)(this.low,this.high,t.low,t.high);return He(e,mo.get_high(),this.unsigned)}if(this.isZero())return this.unsigned?Mu:ho;var n,o,s;if(this.unsigned){if(t.unsigned||(t=t.toUnsigned()),t.gt(this))return Mu;if(t.gt(this.shru(1)))return I1;s=Mu}else{if(this.eq(Rn)){if(t.eq(Bp)||t.eq(p0))return Rn;if(t.eq(Rn))return Bp;var i=this.shr(1);return n=i.div(t).shl(1),n.eq(ho)?t.isNegative()?Bp:p0:(o=this.sub(t.mul(n)),s=n.add(o.div(t)),s)}else if(t.eq(Rn))return this.unsigned?Mu:ho;if(this.isNegative())return t.isNegative()?this.neg().div(t.neg()):this.neg().div(t).neg();if(t.isNegative())return this.div(t.neg()).neg();s=ho}for(o=this;o.gte(t);){n=Math.max(1,Math.floor(o.toNumber()/t.toNumber()));for(var a=Math.ceil(Math.log(n)/Math.LN2),u=a<=48?1:Bg(2,a-48),l=fo(n),c=l.mul(t);c.isNegative()||c.gt(o);)n-=u,l=fo(n,this.unsigned),c=l.mul(t);l.isZero()&&(l=Bp),s=s.add(l),o=o.sub(c)}return s};gt.div=gt.divide;gt.modulo=function(t){if(Fn(t)||(t=Ls(t)),mo){var e=(this.unsigned?mo.rem_u:mo.rem_s)(this.low,this.high,t.low,t.high);return He(e,mo.get_high(),this.unsigned)}return this.sub(this.div(t).mul(t))};gt.mod=gt.modulo;gt.rem=gt.modulo;gt.not=function(){return He(~this.low,~this.high,this.unsigned)};gt.and=function(t){return Fn(t)||(t=Ls(t)),He(this.low&t.low,this.high&t.high,this.unsigned)};gt.or=function(t){return Fn(t)||(t=Ls(t)),He(this.low|t.low,this.high|t.high,this.unsigned)};gt.xor=function(t){return Fn(t)||(t=Ls(t)),He(this.low^t.low,this.high^t.high,this.unsigned)};gt.shiftLeft=function(t){return Fn(t)&&(t=t.toInt()),(t&=63)===0?this:t<32?He(this.low<>>32-t,this.unsigned):He(0,this.low<>>t|this.high<<32-t,this.high>>t,this.unsigned):He(this.high>>t-32,this.high>=0?0:-1,this.unsigned)};gt.shr=gt.shiftRight;gt.shiftRightUnsigned=function(t){if(Fn(t)&&(t=t.toInt()),t&=63,t===0)return this;var e=this.high;if(t<32){var n=this.low;return He(n>>>t|e<<32-t,e>>>t,this.unsigned)}else return t===32?He(e,0,this.unsigned):He(e>>>t-32,0,this.unsigned)};gt.shru=gt.shiftRightUnsigned;gt.shr_u=gt.shiftRightUnsigned;gt.toSigned=function(){return this.unsigned?He(this.low,this.high,!1):this};gt.toUnsigned=function(){return this.unsigned?this:He(this.low,this.high,!0)};gt.toBytes=function(t){return t?this.toBytesLE():this.toBytesBE()};gt.toBytesLE=function(){var t=this.high,e=this.low;return[e&255,e>>>8&255,e>>>16&255,e>>>24,t&255,t>>>8&255,t>>>16&255,t>>>24]};gt.toBytesBE=function(){var t=this.high,e=this.low;return[t>>>24,t>>>16&255,t>>>8&255,t&255,e>>>24,e>>>16&255,e>>>8&255,e&255]};Ue.fromBytes=function(t,e,n){return n?Ue.fromBytesLE(t,e):Ue.fromBytesBE(t,e)};Ue.fromBytesLE=function(t,e){return new Ue(t[0]|t[1]<<8|t[2]<<16|t[3]<<24,t[4]|t[5]<<8|t[6]<<16|t[7]<<24,e)};Ue.fromBytesBE=function(t,e){return new Ue(t[4]<<24|t[5]<<16|t[6]<<8|t[7],t[0]<<24|t[1]<<16|t[2]<<8|t[3],e)}});var iE=gr(()=>{});var aE=gr(()=>{});var u_=gr((l_,rv)=>{(function(r,t,e){function n(a){var u=this,l=i();u.next=function(){var c=2091639*u.s0+u.c*23283064365386963e-26;return u.s0=u.s1,u.s1=u.s2,u.s2=c-(u.c=c|0)},u.c=1,u.s0=l(\" \"),u.s1=l(\" \"),u.s2=l(\" \"),u.s0-=l(a),u.s0<0&&(u.s0+=1),u.s1-=l(a),u.s1<0&&(u.s1+=1),u.s2-=l(a),u.s2<0&&(u.s2+=1),l=null}function o(a,u){return u.c=a.c,u.s0=a.s0,u.s1=a.s1,u.s2=a.s2,u}function s(a,u){var l=new n(a),c=u&&u.state,p=l.next;return p.int32=function(){return l.next()*4294967296|0},p.double=function(){return p()+(p()*2097152|0)*11102230246251565e-32},p.quick=p,c&&(typeof c==\"object\"&&o(c,l),p.state=function(){return o(l,{})}),p}function i(){var a=4022871197,u=function(l){l=String(l);for(var c=0;c>>0,p-=a,p*=a,a=p>>>0,p-=a,a+=p*4294967296}return(a>>>0)*23283064365386963e-26};return u}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.alea=s})(l_,typeof rv==\"object\"&&rv,typeof define==\"function\"&&define)});var p_=gr((c_,nv)=>{(function(r,t,e){function n(i){var a=this,u=\"\";a.x=0,a.y=0,a.z=0,a.w=0,a.next=function(){var c=a.x^a.x<<11;return a.x=a.y,a.y=a.z,a.z=a.w,a.w^=a.w>>>19^c^c>>>8},i===(i|0)?a.x=i:u+=i;for(var l=0;l>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(typeof l==\"object\"&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xor128=s})(c_,typeof nv==\"object\"&&nv,typeof define==\"function\"&&define)});var f_=gr((m_,ov)=>{(function(r,t,e){function n(i){var a=this,u=\"\";a.next=function(){var c=a.x^a.x>>>2;return a.x=a.y,a.y=a.z,a.z=a.w,a.w=a.v,(a.d=a.d+362437|0)+(a.v=a.v^a.v<<4^(c^c<<1))|0},a.x=0,a.y=0,a.z=0,a.w=0,a.v=0,i===(i|0)?a.x=i:u+=i;for(var l=0;l>>4),a.next()}function o(i,a){return a.x=i.x,a.y=i.y,a.z=i.z,a.w=i.w,a.v=i.v,a.d=i.d,a}function s(i,a){var u=new n(i),l=a&&a.state,c=function(){return(u.next()>>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(typeof l==\"object\"&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xorwow=s})(m_,typeof ov==\"object\"&&ov,typeof define==\"function\"&&define)});var h_=gr((d_,sv)=>{(function(r,t,e){function n(i){var a=this;a.next=function(){var l=a.x,c=a.i,p,m,f;return p=l[c],p^=p>>>7,m=p^p<<24,p=l[c+1&7],m^=p^p>>>10,p=l[c+3&7],m^=p^p>>>3,p=l[c+4&7],m^=p^p<<7,p=l[c+7&7],p=p^p<<13,m^=p^p<<9,l[c]=m,a.i=c+1&7,m};function u(l,c){var p,m,f=[];if(c===(c|0))m=f[0]=c;else for(c=\"\"+c,p=0;p0;--p)l.next()}u(a,i)}function o(i,a){return a.x=i.x.slice(),a.i=i.i,a}function s(i,a){i==null&&(i=+new Date);var u=new n(i),l=a&&a.state,c=function(){return(u.next()>>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(l.x&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xorshift7=s})(d_,typeof sv==\"object\"&&sv,typeof define==\"function\"&&define)});var x_=gr((g_,iv)=>{(function(r,t,e){function n(i){var a=this;a.next=function(){var l=a.w,c=a.X,p=a.i,m,f;return a.w=l=l+1640531527|0,f=c[p+34&127],m=c[p=p+1&127],f^=f<<13,m^=m<<17,f^=f>>>15,m^=m>>>12,f=c[p]=f^m,a.i=p,f+(l^l>>>16)|0};function u(l,c){var p,m,f,d,h,g=[],x=128;for(c===(c|0)?(m=c,c=null):(c=c+\"\\0\",m=0,x=Math.max(x,c.length)),f=0,d=-32;d>>15,m^=m<<4,m^=m>>>13,d>=0&&(h=h+1640531527|0,p=g[d&127]^=m+h,f=p==0?f+1:0);for(f>=128&&(g[(c&&c.length||0)&127]=-1),f=127,d=4*128;d>0;--d)m=g[f+34&127],p=g[f=f+1&127],m^=m<<13,p^=p<<17,m^=m>>>15,p^=p>>>12,g[f]=m^p;l.w=h,l.X=g,l.i=f}u(a,i)}function o(i,a){return a.i=i.i,a.w=i.w,a.X=i.X.slice(),a}function s(i,a){i==null&&(i=+new Date);var u=new n(i),l=a&&a.state,c=function(){return(u.next()>>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(l.X&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xor4096=s})(g_,typeof iv==\"object\"&&iv,typeof define==\"function\"&&define)});var b_=gr((y_,av)=>{(function(r,t,e){function n(i){var a=this,u=\"\";a.next=function(){var c=a.b,p=a.c,m=a.d,f=a.a;return c=c<<25^c>>>7^p,p=p-m|0,m=m<<24^m>>>8^f,f=f-c|0,a.b=c=c<<20^c>>>12^p,a.c=p=p-m|0,a.d=m<<16^p>>>16^f,a.a=f-c|0},a.a=0,a.b=0,a.c=-1640531527,a.d=1367130551,i===Math.floor(i)?(a.a=i/4294967296|0,a.b=i|0):u+=i;for(var l=0;l>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(typeof l==\"object\"&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.tychei=s})(y_,typeof av==\"object\"&&av,typeof define==\"function\"&&define)});var w_=gr(()=>{});var I_=gr((C_,Yx)=>{(function(r,t,e){var n=256,o=6,s=52,i=\"random\",a=e.pow(n,o),u=e.pow(2,s),l=u*2,c=n-1,p;function m(w,C,N){var _=[];C=C==!0?{entropy:!0}:C||{};var A=g(h(C.entropy?[w,b(t)]:w==null?x():w,3),_),$=new f(_),F=function(){for(var P=$.g(o),V=a,G=0;P=l;)P/=2,V/=2,G>>>=1;return(P+G)/V};return F.int32=function(){return $.g(4)|0},F.quick=function(){return $.g(4)/4294967296},F.double=F,g(b($.S),t),(C.pass||N||function(P,V,G,W){return W&&(W.S&&d(W,$),P.state=function(){return d($,{})}),G?(e[i]=P,V):P})(F,A,\"global\"in C?C.global:this==e,C.state)}function f(w){var C,N=w.length,_=this,A=0,$=_.i=_.j=0,F=_.S=[];for(N||(w=[N++]);A{var aj=u_(),lj=p_(),uj=f_(),cj=h_(),pj=x_(),mj=b_(),Ju=I_();Ju.alea=aj;Ju.xor128=lj;Ju.xorwow=uj;Ju.xorshift7=cj;Ju.xor4096=pj;Ju.tychei=mj;S_.exports=Ju});var gN=gr(()=>{});var Zb=gr(()=>{});var ig=gr(()=>{});var BW=gr(()=>{});var VW=gr(()=>{});var GW=gr(()=>{});var WW=gr((fI,Ok)=>{var Fk=(()=>{var r=typeof document!=\"undefined\"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!=\"undefined\"&&(r=r||__filename),function(t){t=t||{};function e(){return it.buffer!=jt&&qe(it.buffer),ke}function n(){return it.buffer!=jt&&qe(it.buffer),fe}function o(){return it.buffer!=jt&&qe(it.buffer),Ae}function s(){return it.buffer!=jt&&qe(it.buffer),_n}function i(){return it.buffer!=jt&&qe(it.buffer),or}function a(){return it.buffer!=jt&&qe(it.buffer),Hn}function u(){return it.buffer!=jt&&qe(it.buffer),Lr}var l=typeof t!=\"undefined\"?t:{},c,p;l.ready=new Promise(function(L,U){c=L,p=U});var m;typeof process!=\"undefined\"&&process.listeners&&(m={uncaughtException:process.listeners(\"uncaughtException\"),unhandledRejection:process.listeners(\"unhandledRejection\")});var f=Object.assign({},l),d=[],h=\"./this.program\",g=(L,U)=>{throw U},x=typeof window==\"object\",b=typeof importScripts==\"function\",w=typeof process==\"object\"&&typeof process.versions==\"object\"&&typeof process.versions.node==\"string\",C=l.ENVIRONMENT_IS_PTHREAD||!1,N=\"\";function _(L){return l.locateFile?l.locateFile(L,N):N+L}var A,$,F,P;function V(L){if(L instanceof Ru)return;Y(\"exiting due to exception: \"+L)}if(w){b?N=ig().dirname(N)+\"/\":N=__dirname+\"/\";var G,W;typeof Pg==\"function\"&&(G=Zb(),W=ig()),A=(U,ut)=>(U=W.normalize(U),G.readFileSync(U,ut?void 0:\"utf8\")),F=U=>{var ut=A(U,!0);return ut.buffer||(ut=new Uint8Array(ut)),ut},$=(U,ut,xt)=>{U=W.normalize(U),G.readFile(U,function(Dt,ie){Dt?xt(Dt):ut(ie.buffer)})},process.argv.length>1&&(h=process.argv[1].replace(/\\\\/g,\"/\")),d=process.argv.slice(2),process.on(\"uncaughtException\",function(U){if(!(U instanceof Ru))throw U}),process.on(\"unhandledRejection\",function(U){throw U}),g=(U,ut)=>{if(Mo())throw process.exitCode=U,ut;V(ut),process.exit(U)},l.inspect=function(){return\"[Emscripten Module object]\"};let L;try{L=BW()}catch(U){throw console.error('The \"worker_threads\" module is not supported in this node.js build - perhaps a newer version is needed?'),U}global.Worker=L.Worker}else(x||b)&&(b?N=self.location.href:typeof document!=\"undefined\"&&document.currentScript&&(N=document.currentScript.src),typeof r!=\"undefined\"&&r&&(N=r),N.indexOf(\"blob:\")!==0?N=N.substr(0,N.replace(/[?#].*/,\"\").lastIndexOf(\"/\")+1):N=\"\",w||(A=L=>{var U=new XMLHttpRequest;return U.open(\"GET\",L,!1),U.send(null),U.responseText},b&&(F=L=>{var U=new XMLHttpRequest;return U.open(\"GET\",L,!1),U.responseType=\"arraybuffer\",U.send(null),new Uint8Array(U.response)}),$=(L,U,ut)=>{var xt=new XMLHttpRequest;xt.open(\"GET\",L,!0),xt.responseType=\"arraybuffer\",xt.onload=()=>{if(xt.status==200||xt.status==0&&xt.response){U(xt.response);return}ut()},xt.onerror=ut,xt.send(null)}),P=L=>document.title=L);w&&typeof performance==\"undefined\"&&(global.performance=VW().performance);var q=console.log.bind(console),H=console.warn.bind(console);w&&(q=L=>G.writeSync(1,L+`\n`),H=L=>G.writeSync(2,L+`\n`));var j=l.print||q,Y=l.printErr||H;Object.assign(l,f),f=null,l.arguments&&(d=l.arguments),l.thisProgram&&(h=l.thisProgram),l.quit&&(g=l.quit);var Z=4,et=Atomics.load,rt=Atomics.store,ot=Atomics.compareExchange,at;l.wasmBinary&&(at=l.wasmBinary);var nt=l.noExitRuntime||!0;typeof WebAssembly!=\"object\"&&Yc(\"no native wasm support detected\");var it,dt,ht=!1,bt;function Et(L,U){L||Yc(U)}var At=typeof TextDecoder!=\"undefined\"?new TextDecoder(\"utf8\"):void 0;function Vt(L,U,ut){for(var xt=U+ut,Dt=U;L[Dt]&&!(Dt>=xt);)++Dt;if(Dt-U>16&&L.buffer&&At)return At.decode(L.buffer instanceof SharedArrayBuffer?L.slice(U,Dt):L.subarray(U,Dt));for(var ie=\"\";U>10,56320|Xn&1023)}}return ie}function Zt(L,U){return L?Vt(n(),L,U):\"\"}function ce(L,U,ut,xt){if(!(xt>0))return 0;for(var Dt=ut,ie=ut+xt-1,Gt=0;Gt=55296&&Xt<=57343){var hr=L.charCodeAt(++Gt);Xt=65536+((Xt&1023)<<10)|hr&1023}if(Xt<=127){if(ut>=ie)break;U[ut++]=Xt}else if(Xt<=2047){if(ut+1>=ie)break;U[ut++]=192|Xt>>6,U[ut++]=128|Xt&63}else if(Xt<=65535){if(ut+2>=ie)break;U[ut++]=224|Xt>>12,U[ut++]=128|Xt>>6&63,U[ut++]=128|Xt&63}else{if(ut+3>=ie)break;U[ut++]=240|Xt>>18,U[ut++]=128|Xt>>12&63,U[ut++]=128|Xt>>6&63,U[ut++]=128|Xt&63}}return U[ut]=0,ut-Dt}function he(L,U,ut){return ce(L,n(),U,ut)}var jt,ke,fe,Ae,We,_n,or,Hn,Lr;C&&(jt=l.buffer);function qe(L){jt=L,l.HEAP8=ke=new Int8Array(L),l.HEAP16=Ae=new Int16Array(L),l.HEAP32=_n=new Int32Array(L),l.HEAPU8=fe=new Uint8Array(L),l.HEAPU16=We=new Uint16Array(L),l.HEAPU32=or=new Uint32Array(L),l.HEAPF32=Hn=new Float32Array(L),l.HEAPF64=Lr=new Float64Array(L)}var Mr=l.INITIAL_MEMORY||16777216;if(C)it=l.wasmMemory,jt=l.buffer;else if(l.wasmMemory)it=l.wasmMemory;else if(it=new WebAssembly.Memory({initial:Mr/65536,maximum:32768,shared:!0}),!(it.buffer instanceof SharedArrayBuffer))throw Y(\"requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag\"),w&&console.log(\"(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and also use a recent version)\"),Error(\"bad memory\");it&&(jt=it.buffer),Mr=jt.byteLength,qe(jt);var zr,qn=[],Kn=[],Xr=[],Zi=!1;function Mo(){return nt}function Il(){if(l.preRun)for(typeof l.preRun==\"function\"&&(l.preRun=[l.preRun]);l.preRun.length;)Rd(l.preRun.shift());Md(qn)}function Tr(){Zi=!0,!C&&Md(Kn)}function Ji(){if(!C){if(l.postRun)for(typeof l.postRun==\"function\"&&(l.postRun=[l.postRun]);l.postRun.length;)Gk(l.postRun.shift());Md(Xr)}}function Rd(L){qn.unshift(L)}function Fd(L){Kn.unshift(L)}function Gk(L){Xr.unshift(L)}var Sl=0,Xc=null,Qi=null;function Wk(L){Sl++,l.monitorRunDependencies&&l.monitorRunDependencies(Sl)}function Uk(L){if(Sl--,l.monitorRunDependencies&&l.monitorRunDependencies(Sl),Sl==0&&(Xc!==null&&(clearInterval(Xc),Xc=null),Qi)){var U=Qi;Qi=null,U()}}function Yc(L){C?postMessage({cmd:\"onAbort\",arg:L}):l.onAbort&&l.onAbort(L),L=\"Aborted(\"+L+\")\",Y(L),ht=!0,bt=1,L+=\". Build with -sASSERTIONS for more info.\";var U=new WebAssembly.RuntimeError(L);throw p(U),U}var gI=\"data:application/octet-stream;base64,\";function pg(L){return L.startsWith(gI)}function Od(L){return L.startsWith(\"file://\")}var en;en=\"tfjs-backend-wasm-threaded-simd.wasm\",pg(en)||(en=_(en));function mg(L){try{if(L==en&&at)return new Uint8Array(at);if(F)return F(L);throw\"both async and sync fetching of the wasm failed\"}catch(U){Yc(U)}}function xI(){if(!at&&(x||b)){if(typeof fetch==\"function\"&&!Od(en))return fetch(en,{credentials:\"same-origin\"}).then(function(L){if(!L.ok)throw\"failed to load wasm binary file at '\"+en+\"'\";return L.arrayBuffer()}).catch(function(){return mg(en)});if($)return new Promise(function(L,U){$(en,function(ut){L(new Uint8Array(ut))},U)})}return Promise.resolve().then(function(){return mg(en)})}function yI(){var L={env:vg,wasi_snapshot_preview1:vg};function U(Gt,Xt){var hr=Gt.exports;if(l.asm=hr,EI(l.asm._emscripten_tls_init),zr=l.asm.__indirect_function_table,Fd(l.asm.__wasm_call_ctors),dt=Xt,!C){var Xn=Kt.unusedWorkers.length;Kt.unusedWorkers.forEach(function(ea){Kt.loadWasmModuleToWorker(ea,function(){--Xn||Uk(\"wasm-instantiate\")})})}}C||Wk(\"wasm-instantiate\");function ut(Gt){U(Gt.instance,Gt.module)}function xt(Gt){return xI().then(function(Xt){return WebAssembly.instantiate(Xt,L)}).then(function(Xt){return Xt}).then(Gt,function(Xt){Y(\"failed to asynchronously prepare wasm: \"+Xt),Yc(Xt)})}function Dt(){return!at&&typeof WebAssembly.instantiateStreaming==\"function\"&&!pg(en)&&!Od(en)&&!w&&typeof fetch==\"function\"?fetch(en,{credentials:\"same-origin\"}).then(function(Gt){var Xt=WebAssembly.instantiateStreaming(Gt,L);return Xt.then(ut,function(hr){return Y(\"wasm streaming compile failed: \"+hr),Y(\"falling back to ArrayBuffer instantiation\"),xt(ut)})}):xt(ut)}if(l.instantiateWasm)try{var ie=l.instantiateWasm(L,U);return ie}catch(Gt){Y(\"Module.instantiateWasm callback failed with error: \"+Gt),p(Gt)}return Dt().catch(p),{}}var bI,Hk,wI={};function Ru(L){this.name=\"ExitStatus\",this.message=\"Program terminated with exit(\"+L+\")\",this.status=L}function CI(L){var U=Kt.pthreads[L];delete Kt.pthreads[L],U.terminate(),YS(L),Kt.runningWorkers.splice(Kt.runningWorkers.indexOf(U),1),U.pthread_ptr=0}function II(L){var U=Kt.pthreads[L];U.postMessage({cmd:\"cancel\"})}function Pd(L){var U=Kt.pthreads[L];Et(U),Kt.returnWorkerToPool(U)}function fg(L){var U=Kt.getNewWorker();if(!U)return 6;Kt.runningWorkers.push(U),Kt.pthreads[L.pthread_ptr]=U,U.pthread_ptr=L.pthread_ptr;var ut={cmd:\"run\",start_routine:L.startRoutine,arg:L.arg,pthread_ptr:L.pthread_ptr};return U.runPthread=()=>{ut.time=performance.now(),U.postMessage(ut,L.transferList)},U.loaded&&(U.runPthread(),delete U.runPthread),0}var dg={varargs:void 0,get:function(){dg.varargs+=4;var L=s()[dg.varargs-4>>2];return L},getStr:function(L){var U=Zt(L);return U}};function Ld(L){if(C)return vl(1,1,L);bt=L,Mo()||(Kt.terminateAllThreads(),l.onExit&&l.onExit(L),ht=!0),g(L,new Ru(L))}function qk(L,U){if(bt=L,!U&&C)throw gg(L),\"unwind\";Ld(L)}var hg=qk;function SI(L){if(L instanceof Ru||L==\"unwind\")return bt;g(1,L)}var Kt={unusedWorkers:[],runningWorkers:[],tlsInitFunctions:[],pthreads:{},init:function(){C?Kt.initWorker():Kt.initMainThread()},initMainThread:function(){for(var L=8;L--;)Kt.allocateUnusedWorker()},initWorker:function(){nt=!1},setExitStatus:function(L){bt=L},terminateAllThreads:function(){for(var L of Object.values(Kt.pthreads))Kt.returnWorkerToPool(L);for(var L of Kt.unusedWorkers)L.terminate();Kt.unusedWorkers=[]},returnWorkerToPool:function(L){var U=L.pthread_ptr;delete Kt.pthreads[U],Kt.unusedWorkers.push(L),Kt.runningWorkers.splice(Kt.runningWorkers.indexOf(L),1),L.pthread_ptr=0,YS(U)},receiveObjectTransfer:function(L){},threadInitTLS:function(){Kt.tlsInitFunctions.forEach(L=>L())},loadWasmModuleToWorker:function(L,U){L.onmessage=ut=>{var xt=ut.data,Dt=xt.cmd;if(L.pthread_ptr&&(Kt.currentProxiedOperationCallerThread=L.pthread_ptr),xt.targetThread&&xt.targetThread!=Ag()){var ie=Kt.pthreads[xt.targetThread];ie?ie.postMessage(xt,xt.transferList):Y('Internal error! Worker sent a message \"'+Dt+'\" to target pthread '+xt.targetThread+\", but that thread no longer exists!\"),Kt.currentProxiedOperationCallerThread=void 0;return}Dt===\"processProxyingQueue\"?zd(xt.queue):Dt===\"spawnThread\"?fg(xt):Dt===\"cleanupThread\"?Pd(xt.thread):Dt===\"killThread\"?CI(xt.thread):Dt===\"cancelThread\"?II(xt.thread):Dt===\"loaded\"?(L.loaded=!0,U&&U(L),L.runPthread&&(L.runPthread(),delete L.runPthread)):Dt===\"print\"?j(\"Thread \"+xt.threadId+\": \"+xt.text):Dt===\"printErr\"?Y(\"Thread \"+xt.threadId+\": \"+xt.text):Dt===\"alert\"?alert(\"Thread \"+xt.threadId+\": \"+xt.text):xt.target===\"setimmediate\"?L.postMessage(xt):Dt===\"onAbort\"?l.onAbort&&l.onAbort(xt.arg):Dt&&Y(\"worker sent an unknown command \"+Dt),Kt.currentProxiedOperationCallerThread=void 0},L.onerror=ut=>{var xt=\"worker sent an error!\";throw Y(xt+\" \"+ut.filename+\":\"+ut.lineno+\": \"+ut.message),ut},w&&(L.on(\"message\",function(ut){L.onmessage({data:ut})}),L.on(\"error\",function(ut){L.onerror(ut)}),L.on(\"detachedExit\",function(){})),L.postMessage({cmd:\"load\",urlOrBlob:l.mainScriptUrlOrBlob||r,wasmMemory:it,wasmModule:dt})},allocateUnusedWorker:function(){var L=_(\"tfjs-backend-wasm-threaded-simd.worker.js\");Kt.unusedWorkers.push(new Worker(L))},getNewWorker:function(){return Kt.unusedWorkers.length==0&&(Kt.allocateUnusedWorker(),Kt.loadWasmModuleToWorker(Kt.unusedWorkers[0])),Kt.unusedWorkers.pop()}};l.PThread=Kt;function Md(L){for(;L.length>0;)L.shift()(l)}function vI(L){var U=ZS(),ut=L();return $g(U),ut}function Kk(L){return L}function jk(L){var U=/\\b_Z[\\w\\d_]+/g;return L.replace(U,function(ut){var xt=ut;return ut===xt?ut:xt+\" [\"+ut+\"]\"})}function NI(){var L=Ag(),U=s()[L+44>>2],ut=s()[L+48>>2],xt=U-ut;e1(U,xt),$g(U)}l.establishStackSpace=NI;function gg(L){if(C)return vl(2,0,L);try{hg(L)}catch(U){SI(U)}}var Zc=[];function TI(L){var U=Zc[L];return U||(L>=Zc.length&&(Zc.length=L+1),Zc[L]=U=zr.get(L)),U}function kI(L,U){var ut=TI(L)(U);Mo()?Kt.setExitStatus(ut):t1(ut)}l.invokeEntryPoint=kI;function Xk(){var L=new Error;if(!L.stack){try{throw new Error}catch(U){L=U}if(!L.stack)return\"(no stack trace available)\"}return L.stack.toString()}function EI(L){Kt.tlsInitFunctions.push(L)}function _I(L,U){e().set(L,U)}function AI(L){Zk(L,!b,1,!x),Kt.threadInitTLS()}function $I(L){C?postMessage({cmd:\"cleanupThread\",thread:L}):Pd(L)}function xg(L,U,ut,xt){return C?vl(3,1,L,U,ut,xt):yg(L,U,ut,xt)}function yg(L,U,ut,xt){if(typeof SharedArrayBuffer==\"undefined\")return Y(\"Current environment does not support SharedArrayBuffer, pthreads are not available!\"),6;var Dt=[],ie=0;if(C&&(Dt.length===0||ie))return xg(L,U,ut,xt);if(ie)return ie;var Gt={startRoutine:ut,pthread_ptr:L,arg:xt,transferList:Dt};return C?(Gt.cmd=\"spawnThread\",postMessage(Gt,Dt),0):fg(Gt)}function DI(){return 2097152}var RI=!0;function FI(){return RI}function zd(L){Atomics.store(s(),L>>2,1),Ag()&&Qk(L),Atomics.compareExchange(s(),L>>2,1,0)}l.executeNotifiedProxyingQueue=zd;function OI(L,U,ut,xt){if(L==U)setTimeout(()=>zd(xt));else if(C)postMessage({targetThread:L,cmd:\"processProxyingQueue\",queue:xt});else{var Dt=Kt.pthreads[L];if(!Dt)return;Dt.postMessage({cmd:\"processProxyingQueue\",queue:xt})}return 1}function PI(L,U,ut){return-1}function LI(){Yc(\"\")}function Fu(L){Fu.shown||(Fu.shown={}),Fu.shown[L]||(Fu.shown[L]=1,w&&(L=\"warning: \"+L),Y(L))}function MI(){w||b||Fu(\"Blocking on the main thread is very dangerous, see https://emscripten.org/docs/porting/pthreads.html#blocking-on-the-main-browser-thread\")}function zI(){return Date.now()}function bg(){return 2147483648}function BI(){return bg()}var Jc;w?Jc=()=>{var L=process.hrtime();return L[0]*1e3+L[1]/1e6}:C?Jc=()=>performance.now()-l.__performance_now_clock_drift:Jc=()=>performance.now();function VI(L,U,ut){n().copyWithin(L,U,U+ut)}function GI(){return w?GW().cpus().length:navigator.hardwareConcurrency}function vl(L,U){var ut=arguments.length-2,xt=arguments;return vI(()=>{for(var Dt=ut,ie=Dg(Dt*8),Gt=ie>>3,Xt=0;Xt>3,Dt=0;Dt>>16),qe(it.buffer),1}catch(U){}}function HI(L){var U=n().length;if(L=L>>>0,L<=U)return!1;var ut=bg();if(L>ut)return!1;let xt=(hr,Xn)=>hr+(Xn-hr%Xn)%Xn;for(var Dt=1;Dt<=4;Dt*=2){var ie=U*(1+.2/Dt);ie=Math.min(ie,L+100663296);var Gt=Math.min(ut,xt(Math.max(L,ie),65536)),Xt=UI(Gt);if(Xt)return!0}return!1}function qI(){throw\"unwind\"}function wg(L){return C?vl(4,1,L):52}function Cg(L,U,ut,xt,Dt){return C?vl(5,1,L,U,ut,xt,Dt):70}var KI=[null,[],[]];function jI(L,U){var ut=KI[L];U===0||U===10?((L===1?j:Y)(Vt(ut,0)),ut.length=0):ut.push(U)}function Ig(L,U,ut,xt){if(C)return vl(6,1,L,U,ut,xt);for(var Dt=0,ie=0;ie>2],Xt=i()[U+4>>2];U+=8;for(var hr=0;hr>2]=Dt,0}function Sg(L){var U=l[\"_\"+L];return U}function XI(L,U,ut,xt,Dt){var ie={string:An=>{var rp=0;if(An!=null&&An!==0){var o1=(An.length<<2)+1;rp=Dg(o1),he(An,rp,o1)}return rp},array:An=>{var rp=Dg(An.length);return _I(An,rp),rp}};function Gt(An){return U===\"string\"?Zt(An):U===\"boolean\"?Boolean(An):An}var Xt=Sg(L),hr=[],Xn=0;if(xt)for(var ea=0;eaGt===\"number\"||Gt===\"boolean\"),ie=U!==\"string\";return ie&&Dt&&!xt?Sg(L):function(){return XI(L,U,ut,arguments,xt)}}Kt.init();var ZI=[null,Ld,gg,xg,wg,Cg,Ig],vg={__emscripten_init_main_thread_js:AI,__emscripten_thread_cleanup:$I,__pthread_create_js:yg,_emscripten_default_pthread_stack_size:DI,_emscripten_get_now_is_monotonic:FI,_emscripten_notify_task_queue:OI,_emscripten_set_offscreencanvas_size:PI,abort:LI,emscripten_check_blocking_allowed:MI,emscripten_date_now:zI,emscripten_get_heap_max:BI,emscripten_get_now:Jc,emscripten_memcpy_big:VI,emscripten_num_logical_cores:GI,emscripten_receive_on_main_thread_js:WI,emscripten_resize_heap:HI,emscripten_unwind_to_js_event_loop:qI,exit:hg,fd_close:wg,fd_seek:Cg,fd_write:Ig,memory:it||l.wasmMemory},Yk=yI(),JI=l.___wasm_call_ctors=function(){return(JI=l.___wasm_call_ctors=l.asm.__wasm_call_ctors).apply(null,arguments)},QI=l._init=function(){return(QI=l._init=l.asm.init).apply(null,arguments)},tS=l._init_with_threads_count=function(){return(tS=l._init_with_threads_count=l.asm.init_with_threads_count).apply(null,arguments)},eS=l._get_threads_count=function(){return(eS=l._get_threads_count=l.asm.get_threads_count).apply(null,arguments)},rS=l._register_tensor=function(){return(rS=l._register_tensor=l.asm.register_tensor).apply(null,arguments)},nS=l._dispose_data=function(){return(nS=l._dispose_data=l.asm.dispose_data).apply(null,arguments)},oS=l._dispose=function(){return(oS=l._dispose=l.asm.dispose).apply(null,arguments)},sS=l._Abs=function(){return(sS=l._Abs=l.asm.Abs).apply(null,arguments)},iS=l._Add=function(){return(iS=l._Add=l.asm.Add).apply(null,arguments)},aS=l._AddN=function(){return(aS=l._AddN=l.asm.AddN).apply(null,arguments)},lS=l._All=function(){return(lS=l._All=l.asm.All).apply(null,arguments)},uS=l._Any=function(){return(uS=l._Any=l.asm.Any).apply(null,arguments)},cS=l._ArgMax=function(){return(cS=l._ArgMax=l.asm.ArgMax).apply(null,arguments)},pS=l._AvgPool=function(){return(pS=l._AvgPool=l.asm.AvgPool).apply(null,arguments)},mS=l._BatchMatMul=function(){return(mS=l._BatchMatMul=l.asm.BatchMatMul).apply(null,arguments)},fS=l._Ceil=function(){return(fS=l._Ceil=l.asm.Ceil).apply(null,arguments)},dS=l._ClipByValue=function(){return(dS=l._ClipByValue=l.asm.ClipByValue).apply(null,arguments)},hS=l._Conv2D=function(){return(hS=l._Conv2D=l.asm.Conv2D).apply(null,arguments)},gS=l._Conv2DBackpropInput=function(){return(gS=l._Conv2DBackpropInput=l.asm.Conv2DBackpropInput).apply(null,arguments)},xS=l._Cos=function(){return(xS=l._Cos=l.asm.Cos).apply(null,arguments)},yS=l._Cosh=function(){return(yS=l._Cosh=l.asm.Cosh).apply(null,arguments)},bS=l._CropAndResize=function(){return(bS=l._CropAndResize=l.asm.CropAndResize).apply(null,arguments)},wS=l._Cumprod=function(){return(wS=l._Cumprod=l.asm.Cumprod).apply(null,arguments)},CS=l._Cumsum=function(){return(CS=l._Cumsum=l.asm.Cumsum).apply(null,arguments)},IS=l._DepthToSpace=function(){return(IS=l._DepthToSpace=l.asm.DepthToSpace).apply(null,arguments)},SS=l._DepthwiseConv2dNative=function(){return(SS=l._DepthwiseConv2dNative=l.asm.DepthwiseConv2dNative).apply(null,arguments)},vS=l._Elu=function(){return(vS=l._Elu=l.asm.Elu).apply(null,arguments)},NS=l._Equal=function(){return(NS=l._Equal=l.asm.Equal).apply(null,arguments)},TS=l._Exp=function(){return(TS=l._Exp=l.asm.Exp).apply(null,arguments)},kS=l._FlipLeftRight=function(){return(kS=l._FlipLeftRight=l.asm.FlipLeftRight).apply(null,arguments)},ES=l._Floor=function(){return(ES=l._Floor=l.asm.Floor).apply(null,arguments)},_S=l._FloorDiv=function(){return(_S=l._FloorDiv=l.asm.FloorDiv).apply(null,arguments)},AS=l._FusedBatchNorm=function(){return(AS=l._FusedBatchNorm=l.asm.FusedBatchNorm).apply(null,arguments)},$S=l._FusedConv2D=function(){return($S=l._FusedConv2D=l.asm.FusedConv2D).apply(null,arguments)},DS=l._FusedDepthwiseConv2D=function(){return(DS=l._FusedDepthwiseConv2D=l.asm.FusedDepthwiseConv2D).apply(null,arguments)},RS=l._Gather=function(){return(RS=l._Gather=l.asm.Gather).apply(null,arguments)},FS=l._GatherNd=function(){return(FS=l._GatherNd=l.asm.GatherNd).apply(null,arguments)},OS=l._Greater=function(){return(OS=l._Greater=l.asm.Greater).apply(null,arguments)},PS=l._GreaterEqual=function(){return(PS=l._GreaterEqual=l.asm.GreaterEqual).apply(null,arguments)},LS=l._LeakyRelu=function(){return(LS=l._LeakyRelu=l.asm.LeakyRelu).apply(null,arguments)},MS=l._Less=function(){return(MS=l._Less=l.asm.Less).apply(null,arguments)},zS=l._LessEqual=function(){return(zS=l._LessEqual=l.asm.LessEqual).apply(null,arguments)},BS=l._Log=function(){return(BS=l._Log=l.asm.Log).apply(null,arguments)},VS=l._LogicalAnd=function(){return(VS=l._LogicalAnd=l.asm.LogicalAnd).apply(null,arguments)},GS=l._LogicalNot=function(){return(GS=l._LogicalNot=l.asm.LogicalNot).apply(null,arguments)},WS=l._LogicalOr=function(){return(WS=l._LogicalOr=l.asm.LogicalOr).apply(null,arguments)},US=l._LogicalXor=function(){return(US=l._LogicalXor=l.asm.LogicalXor).apply(null,arguments)},HS=l._Max=function(){return(HS=l._Max=l.asm.Max).apply(null,arguments)},Ng=l._MaxPool=function(){return(Ng=l._MaxPool=l.asm.MaxPool).apply(null,arguments)},Tg=l._Maximum=function(){return(Tg=l._Maximum=l.asm.Maximum).apply(null,arguments)},Vd=l._Mean=function(){return(Vd=l._Mean=l.asm.Mean).apply(null,arguments)},qS=l._Min=function(){return(qS=l._Min=l.asm.Min).apply(null,arguments)},KS=l._Minimum=function(){return(KS=l._Minimum=l.asm.Minimum).apply(null,arguments)},Qc=l._MirrorPad=function(){return(Qc=l._MirrorPad=l.asm.MirrorPad).apply(null,arguments)},kg=l._Multiply=function(){return(kg=l._Multiply=l.asm.Multiply).apply(null,arguments)},tp=l._Neg=function(){return(tp=l._Neg=l.asm.Neg).apply(null,arguments)},ep=l._NonMaxSuppressionV3=function(){return(ep=l._NonMaxSuppressionV3=l.asm.NonMaxSuppressionV3).apply(null,arguments)},jS=l._NonMaxSuppressionV4=function(){return(jS=l._NonMaxSuppressionV4=l.asm.NonMaxSuppressionV4).apply(null,arguments)},K=l._NonMaxSuppressionV5=function(){return(K=l._NonMaxSuppressionV5=l.asm.NonMaxSuppressionV5).apply(null,arguments)},lt=l._NotEqual=function(){return(lt=l._NotEqual=l.asm.NotEqual).apply(null,arguments)},_t=l._OneHot=function(){return(_t=l._OneHot=l.asm.OneHot).apply(null,arguments)},re=l._PadV2=function(){return(re=l._PadV2=l.asm.PadV2).apply(null,arguments)},Ke=l._Pow=function(){return(Ke=l._Pow=l.asm.Pow).apply(null,arguments)},je=l._Prelu=function(){return(je=l._Prelu=l.asm.Prelu).apply(null,arguments)},ee=l._Prod=function(){return(ee=l._Prod=l.asm.Prod).apply(null,arguments)},te=l._RealDiv=function(){return(te=l._RealDiv=l.asm.RealDiv).apply(null,arguments)},dr=l._Relu=function(){return(dr=l._Relu=l.asm.Relu).apply(null,arguments)},jn=l._Relu6=function(){return(jn=l._Relu6=l.asm.Relu6).apply(null,arguments)},ta=l._ResizeBilinear=function(){return(ta=l._ResizeBilinear=l.asm.ResizeBilinear).apply(null,arguments)},Eg=l._ResizeNearestNeighbor=function(){return(Eg=l._ResizeNearestNeighbor=l.asm.ResizeNearestNeighbor).apply(null,arguments)},Gd=l._Reverse=function(){return(Gd=l._Reverse=l.asm.Reverse).apply(null,arguments)},XS=l._RotateWithOffset=function(){return(XS=l._RotateWithOffset=l.asm.RotateWithOffset).apply(null,arguments)},rn=l._Round=function(){return(rn=l._Round=l.asm.Round).apply(null,arguments)},Nl=l._Rsqrt=function(){return(Nl=l._Rsqrt=l.asm.Rsqrt).apply(null,arguments)},_g=l._ScatterNd=function(){return(_g=l._ScatterNd=l.asm.ScatterNd).apply(null,arguments)},JW=l._SelectV2=function(){return(JW=l._SelectV2=l.asm.SelectV2).apply(null,arguments)},QW=l._Sigmoid=function(){return(QW=l._Sigmoid=l.asm.Sigmoid).apply(null,arguments)},tU=l._Sin=function(){return(tU=l._Sin=l.asm.Sin).apply(null,arguments)},eU=l._Softmax=function(){return(eU=l._Softmax=l.asm.Softmax).apply(null,arguments)},rU=l._SparseFillEmptyRows=function(){return(rU=l._SparseFillEmptyRows=l.asm.SparseFillEmptyRows).apply(null,arguments)},nU=l._SparseReshape=function(){return(nU=l._SparseReshape=l.asm.SparseReshape).apply(null,arguments)},oU=l._SparseSegmentReduction=function(){return(oU=l._SparseSegmentReduction=l.asm.SparseSegmentReduction).apply(null,arguments)},sU=l._Sqrt=function(){return(sU=l._Sqrt=l.asm.Sqrt).apply(null,arguments)},iU=l._Square=function(){return(iU=l._Square=l.asm.Square).apply(null,arguments)},aU=l._SquaredDifference=function(){return(aU=l._SquaredDifference=l.asm.SquaredDifference).apply(null,arguments)},lU=l._Step=function(){return(lU=l._Step=l.asm.Step).apply(null,arguments)},uU=l._StridedSlice=function(){return(uU=l._StridedSlice=l.asm.StridedSlice).apply(null,arguments)},cU=l._Sub=function(){return(cU=l._Sub=l.asm.Sub).apply(null,arguments)},pU=l._Sum=function(){return(pU=l._Sum=l.asm.Sum).apply(null,arguments)},mU=l._Tan=function(){return(mU=l._Tan=l.asm.Tan).apply(null,arguments)},fU=l._Tanh=function(){return(fU=l._Tanh=l.asm.Tanh).apply(null,arguments)},dU=l._Tile=function(){return(dU=l._Tile=l.asm.Tile).apply(null,arguments)},hU=l._TopK=function(){return(hU=l._TopK=l.asm.TopK).apply(null,arguments)},gU=l._Transform=function(){return(gU=l._Transform=l.asm.Transform).apply(null,arguments)},xU=l._Transpose=function(){return(xU=l._Transpose=l.asm.Transpose).apply(null,arguments)},yU=l.__FusedMatMul=function(){return(yU=l.__FusedMatMul=l.asm._FusedMatMul).apply(null,arguments)},bU=l._malloc=function(){return(bU=l._malloc=l.asm.malloc).apply(null,arguments)},wU=l._free=function(){return(wU=l._free=l.asm.free).apply(null,arguments)},CU=l.__emscripten_tls_init=function(){return(CU=l.__emscripten_tls_init=l.asm._emscripten_tls_init).apply(null,arguments)},Ag=l._pthread_self=function(){return(Ag=l._pthread_self=l.asm.pthread_self).apply(null,arguments)},IU=l.___errno_location=function(){return(IU=l.___errno_location=l.asm.__errno_location).apply(null,arguments)},Zk=l.__emscripten_thread_init=function(){return(Zk=l.__emscripten_thread_init=l.asm._emscripten_thread_init).apply(null,arguments)},SU=l.__emscripten_thread_crashed=function(){return(SU=l.__emscripten_thread_crashed=l.asm._emscripten_thread_crashed).apply(null,arguments)},vU=l._emscripten_main_thread_process_queued_calls=function(){return(vU=l._emscripten_main_thread_process_queued_calls=l.asm.emscripten_main_thread_process_queued_calls).apply(null,arguments)},NU=l._emscripten_main_browser_thread_id=function(){return(NU=l._emscripten_main_browser_thread_id=l.asm.emscripten_main_browser_thread_id).apply(null,arguments)},Jk=l._emscripten_run_in_main_runtime_thread_js=function(){return(Jk=l._emscripten_run_in_main_runtime_thread_js=l.asm.emscripten_run_in_main_runtime_thread_js).apply(null,arguments)},TU=l._emscripten_dispatch_to_thread_=function(){return(TU=l._emscripten_dispatch_to_thread_=l.asm.emscripten_dispatch_to_thread_).apply(null,arguments)},Qk=l.__emscripten_proxy_execute_task_queue=function(){return(Qk=l.__emscripten_proxy_execute_task_queue=l.asm._emscripten_proxy_execute_task_queue).apply(null,arguments)},YS=l.__emscripten_thread_free_data=function(){return(YS=l.__emscripten_thread_free_data=l.asm._emscripten_thread_free_data).apply(null,arguments)},t1=l.__emscripten_thread_exit=function(){return(t1=l.__emscripten_thread_exit=l.asm._emscripten_thread_exit).apply(null,arguments)},e1=l._emscripten_stack_set_limits=function(){return(e1=l._emscripten_stack_set_limits=l.asm.emscripten_stack_set_limits).apply(null,arguments)},ZS=l.stackSave=function(){return(ZS=l.stackSave=l.asm.stackSave).apply(null,arguments)},$g=l.stackRestore=function(){return($g=l.stackRestore=l.asm.stackRestore).apply(null,arguments)},Dg=l.stackAlloc=function(){return(Dg=l.stackAlloc=l.asm.stackAlloc).apply(null,arguments)},kU=l.dynCall_iijjiiii=function(){return(kU=l.dynCall_iijjiiii=l.asm.dynCall_iijjiiii).apply(null,arguments)},EU=l.dynCall_jiji=function(){return(EU=l.dynCall_jiji=l.asm.dynCall_jiji).apply(null,arguments)};l.keepRuntimeAlive=Mo,l.wasmMemory=it,l.cwrap=YI,l.ExitStatus=Ru,l.PThread=Kt;var Rg;Qi=function L(){Rg||r1(),Rg||(Qi=L)};function r1(L){if(L=L||d,Sl>0)return;if(C){c(l),Tr(),postMessage({cmd:\"loaded\"});return}if(Il(),Sl>0)return;function U(){Rg||(Rg=!0,l.calledRun=!0,!ht&&(Tr(),c(l),l.onRuntimeInitialized&&l.onRuntimeInitialized(),Ji()))}l.setStatus?(l.setStatus(\"Running...\"),setTimeout(function(){setTimeout(function(){l.setStatus(\"\")},1),U()},1)):U()}if(l.preInit)for(typeof l.preInit==\"function\"&&(l.preInit=[l.preInit]);l.preInit.length>0;)l.preInit.pop()();r1();var Fg;m&&(Fg={uncaughtException:process.listeners(\"uncaughtException\").filter(function(L){return!m.uncaughtException.indexOf(L)>-1}),unhandledRejection:process.listeners(\"unhandledRejection\").filter(function(L){return!m.unhandledRejection.indexOf(L)>-1})});var Og;if(typeof WasmBackendModule!=\"undefined\")Og=WasmBackendModule;else if(typeof t!=\"undefined\")Og=t;else throw new Error(\"Could not find wasm module in post.js\");if(Fg){var _U=Og._dispose;Og._dispose=function(){_U(),Fg.uncaughtException.forEach(function(L){process.removeListener(\"uncaughtException\",L)}),Fg.unhandledRejection.forEach(function(L){process.removeListener(\"unhandledRejection\",L)})}}return t.ready}})();typeof fI==\"object\"&&typeof Ok==\"object\"?Ok.exports=Fk:typeof define==\"function\"&&define.amd?define([],function(){return Fk}):typeof fI==\"object\"&&(fI.WasmBackendModuleThreadedSimd=Fk)});var HW=gr((H5e,UW)=>{UW.exports.wasmWorkerContents=`\"use strict\";var Module={};var ENVIRONMENT_IS_NODE=typeof process==\"object\"&&typeof process.versions==\"object\"&&typeof process.versions.node==\"string\";if(ENVIRONMENT_IS_NODE){var nodeWorkerThreads=require(\"worker_threads\");var parentPort=nodeWorkerThreads.parentPort;parentPort.on(\"message\",data=>onmessage({data:data}));var fs=require(\"fs\");Object.assign(global,{self:global,require:require,Module:Module,location:{href:__filename},Worker:nodeWorkerThreads.Worker,importScripts:function(f){(0,eval)(fs.readFileSync(f,\"utf8\"))},postMessage:function(msg){parentPort.postMessage(msg)},performance:global.performance||{now:function(){return Date.now()}}})}var initializedJS=false;var pendingNotifiedProxyingQueues=[];function threadPrintErr(){var text=Array.prototype.slice.call(arguments).join(\" \");if(ENVIRONMENT_IS_NODE){fs.writeSync(2,text+\"\n\");return}console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(\" \");postMessage({cmd:\"alert\",text:text,threadId:Module[\"_pthread_self\"]()})}var err=threadPrintErr;self.alert=threadAlert;Module[\"instantiateWasm\"]=(info,receiveInstance)=>{var instance=new WebAssembly.Instance(Module[\"wasmModule\"],info);receiveInstance(instance);Module[\"wasmModule\"]=null;return instance.exports};self.onunhandledrejection=e=>{throw e.reason??e};self.onmessage=e=>{try{if(e.data.cmd===\"load\"){Module[\"wasmModule\"]=e.data.wasmModule;Module[\"wasmMemory\"]=e.data.wasmMemory;Module[\"buffer\"]=Module[\"wasmMemory\"].buffer;Module[\"ENVIRONMENT_IS_PTHREAD\"]=true;if(typeof e.data.urlOrBlob==\"string\"){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}WasmBackendModuleThreadedSimd(Module).then(function(instance){Module=instance})}else if(e.data.cmd===\"run\"){Module[\"__performance_now_clock_drift\"]=performance.now()-e.data.time;Module[\"__emscripten_thread_init\"](e.data.pthread_ptr,0,0,1);Module[\"establishStackSpace\"]();Module[\"PThread\"].receiveObjectTransfer(e.data);Module[\"PThread\"].threadInitTLS();if(!initializedJS){pendingNotifiedProxyingQueues.forEach(queue=>{Module[\"executeNotifiedProxyingQueue\"](queue)});pendingNotifiedProxyingQueues=[];initializedJS=true}try{Module[\"invokeEntryPoint\"](e.data.start_routine,e.data.arg)}catch(ex){if(ex!=\"unwind\"){if(ex instanceof Module[\"ExitStatus\"]){if(Module[\"keepRuntimeAlive\"]()){}else{Module[\"__emscripten_thread_exit\"](ex.status)}}else{throw ex}}}}else if(e.data.cmd===\"cancel\"){if(Module[\"_pthread_self\"]()){Module[\"__emscripten_thread_exit\"](-1)}}else if(e.data.target===\"setimmediate\"){}else if(e.data.cmd===\"processProxyingQueue\"){if(initializedJS){Module[\"executeNotifiedProxyingQueue\"](e.data.queue)}else{pendingNotifiedProxyingQueues.push(e.data.queue)}}else if(e.data.cmd){err(\"worker.js received unknown command \"+e.data.cmd);err(e.data)}}catch(ex){if(Module[\"__emscripten_thread_crashed\"]){Module[\"__emscripten_thread_crashed\"]()}throw ex}};`});var qW=gr((dI,Lk)=>{var Pk=(()=>{var r=typeof document!=\"undefined\"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!=\"undefined\"&&(r=r||__filename),function(t){t=t||{};var e=typeof t!=\"undefined\"?t:{},n,o;e.ready=new Promise(function(K,lt){n=K,o=lt});var s;typeof process!=\"undefined\"&&process.listeners&&(s={uncaughtException:process.listeners(\"uncaughtException\"),unhandledRejection:process.listeners(\"unhandledRejection\")});var i=Object.assign({},e),a=[],u=\"./this.program\",l=(K,lt)=>{throw lt},c=typeof window==\"object\",p=typeof importScripts==\"function\",m=typeof process==\"object\"&&typeof process.versions==\"object\"&&typeof process.versions.node==\"string\",f=\"\";function d(K){return e.locateFile?e.locateFile(K,f):f+K}var h,g,x,b;function w(K){if(K instanceof Xc)return;A(\"exiting due to exception: \"+K)}if(m){p?f=ig().dirname(f)+\"/\":f=__dirname+\"/\";var C,N;typeof Pg==\"function\"&&(C=Zb(),N=ig()),h=(K,lt)=>(K=N.normalize(K),C.readFileSync(K,lt?void 0:\"utf8\")),x=K=>{var lt=h(K,!0);return lt.buffer||(lt=new Uint8Array(lt)),lt},g=(K,lt,_t)=>{K=N.normalize(K),C.readFile(K,function(re,Ke){re?_t(re):lt(Ke.buffer)})},process.argv.length>1&&(u=process.argv[1].replace(/\\\\/g,\"/\")),a=process.argv.slice(2),process.on(\"uncaughtException\",function(K){if(!(K instanceof Xc))throw K}),process.on(\"unhandledRejection\",function(K){throw K}),l=(K,lt)=>{if(fe())throw process.exitCode=K,lt;w(lt),process.exit(K)},e.inspect=function(){return\"[Emscripten Module object]\"}}else(c||p)&&(p?f=self.location.href:typeof document!=\"undefined\"&&document.currentScript&&(f=document.currentScript.src),r&&(f=r),f.indexOf(\"blob:\")!==0?f=f.substr(0,f.replace(/[?#].*/,\"\").lastIndexOf(\"/\")+1):f=\"\",h=K=>{var lt=new XMLHttpRequest;return lt.open(\"GET\",K,!1),lt.send(null),lt.responseText},p&&(x=K=>{var lt=new XMLHttpRequest;return lt.open(\"GET\",K,!1),lt.responseType=\"arraybuffer\",lt.send(null),new Uint8Array(lt.response)}),g=(K,lt,_t)=>{var re=new XMLHttpRequest;re.open(\"GET\",K,!0),re.responseType=\"arraybuffer\",re.onload=()=>{if(re.status==200||re.status==0&&re.response){lt(re.response);return}_t()},re.onerror=_t,re.send(null)},b=K=>document.title=K);var _=e.print||console.log.bind(console),A=e.printErr||console.warn.bind(console);Object.assign(e,i),i=null,e.arguments&&(a=e.arguments),e.thisProgram&&(u=e.thisProgram),e.quit&&(l=e.quit);var $=4,F;e.wasmBinary&&(F=e.wasmBinary);var P=e.noExitRuntime||!0;typeof WebAssembly!=\"object\"&&Xr(\"no native wasm support detected\");var V,G=!1,W;function q(K,lt){K||Xr(lt)}var H=typeof TextDecoder!=\"undefined\"?new TextDecoder(\"utf8\"):void 0;function j(K,lt,_t){for(var re=lt+_t,Ke=lt;K[Ke]&&!(Ke>=re);)++Ke;if(Ke-lt>16&&K.buffer&&H)return H.decode(K.subarray(lt,Ke));for(var je=\"\";lt>10,56320|jn&1023)}}return je}function Y(K,lt){return K?j(at,K,lt):\"\"}function Z(K,lt,_t,re){if(!(re>0))return 0;for(var Ke=_t,je=_t+re-1,ee=0;ee=55296&&te<=57343){var dr=K.charCodeAt(++ee);te=65536+((te&1023)<<10)|dr&1023}if(te<=127){if(_t>=je)break;lt[_t++]=te}else if(te<=2047){if(_t+1>=je)break;lt[_t++]=192|te>>6,lt[_t++]=128|te&63}else if(te<=65535){if(_t+2>=je)break;lt[_t++]=224|te>>12,lt[_t++]=128|te>>6&63,lt[_t++]=128|te&63}else{if(_t+3>=je)break;lt[_t++]=240|te>>18,lt[_t++]=128|te>>12&63,lt[_t++]=128|te>>6&63,lt[_t++]=128|te&63}}return lt[_t]=0,_t-Ke}function et(K,lt,_t){return Z(K,at,lt,_t)}var rt,ot,at,nt,it,dt,ht,bt,Et;function At(K){rt=K,e.HEAP8=ot=new Int8Array(K),e.HEAP16=nt=new Int16Array(K),e.HEAP32=dt=new Int32Array(K),e.HEAPU8=at=new Uint8Array(K),e.HEAPU16=it=new Uint16Array(K),e.HEAPU32=ht=new Uint32Array(K),e.HEAPF32=bt=new Float32Array(K),e.HEAPF64=Et=new Float64Array(K)}var Vt=e.INITIAL_MEMORY||16777216,Zt,ce=[],he=[],jt=[],ke=!1;function fe(){return P}function Ae(){if(e.preRun)for(typeof e.preRun==\"function\"&&(e.preRun=[e.preRun]);e.preRun.length;)or(e.preRun.shift());Qi(ce)}function We(){ke=!0,Qi(he)}function _n(){if(e.postRun)for(typeof e.postRun==\"function\"&&(e.postRun=[e.postRun]);e.postRun.length;)Lr(e.postRun.shift());Qi(jt)}function or(K){ce.unshift(K)}function Hn(K){he.unshift(K)}function Lr(K){jt.unshift(K)}var qe=0,Mr=null,zr=null;function qn(K){qe++,e.monitorRunDependencies&&e.monitorRunDependencies(qe)}function Kn(K){if(qe--,e.monitorRunDependencies&&e.monitorRunDependencies(qe),qe==0&&(Mr!==null&&(clearInterval(Mr),Mr=null),zr)){var lt=zr;zr=null,lt()}}function Xr(K){e.onAbort&&e.onAbort(K),K=\"Aborted(\"+K+\")\",A(K),G=!0,W=1,K+=\". Build with -sASSERTIONS for more info.\";var lt=new WebAssembly.RuntimeError(K);throw o(lt),lt}var Zi=\"data:application/octet-stream;base64,\";function Mo(K){return K.startsWith(Zi)}function Il(K){return K.startsWith(\"file://\")}var Tr;Tr=\"tfjs-backend-wasm.wasm\",Mo(Tr)||(Tr=d(Tr));function Ji(K){try{if(K==Tr&&F)return new Uint8Array(F);if(x)return x(K);throw\"both async and sync fetching of the wasm failed\"}catch(lt){Xr(lt)}}function Rd(){if(!F&&(c||p)){if(typeof fetch==\"function\"&&!Il(Tr))return fetch(Tr,{credentials:\"same-origin\"}).then(function(K){if(!K.ok)throw\"failed to load wasm binary file at '\"+Tr+\"'\";return K.arrayBuffer()}).catch(function(){return Ji(Tr)});if(g)return new Promise(function(K,lt){g(Tr,function(_t){K(new Uint8Array(_t))},lt)})}return Promise.resolve().then(function(){return Ji(Tr)})}function Fd(){var K={env:Ld,wasi_snapshot_preview1:Ld};function lt(ee,te){var dr=ee.exports;e.asm=dr,V=e.asm.memory,At(V.buffer),Zt=e.asm.__indirect_function_table,Hn(e.asm.__wasm_call_ctors),Kn(\"wasm-instantiate\")}qn(\"wasm-instantiate\");function _t(ee){lt(ee.instance)}function re(ee){return Rd().then(function(te){return WebAssembly.instantiate(te,K)}).then(function(te){return te}).then(ee,function(te){A(\"failed to asynchronously prepare wasm: \"+te),Xr(te)})}function Ke(){return!F&&typeof WebAssembly.instantiateStreaming==\"function\"&&!Mo(Tr)&&!Il(Tr)&&!m&&typeof fetch==\"function\"?fetch(Tr,{credentials:\"same-origin\"}).then(function(ee){var te=WebAssembly.instantiateStreaming(ee,K);return te.then(_t,function(dr){return A(\"wasm streaming compile failed: \"+dr),A(\"falling back to ArrayBuffer instantiation\"),re(_t)})}):re(_t)}if(e.instantiateWasm)try{var je=e.instantiateWasm(K,lt);return je}catch(ee){A(\"Module.instantiateWasm callback failed with error: \"+ee),o(ee)}return Ke().catch(o),{}}var Gk,Sl;function Xc(K){this.name=\"ExitStatus\",this.message=\"Program terminated with exit(\"+K+\")\",this.status=K}function Qi(K){for(;K.length>0;)K.shift()(e)}function Wk(K){return K}function Uk(K){var lt=/\\b_Z[\\w\\d_]+/g;return K.replace(lt,function(_t){var re=_t;return _t===re?_t:re+\" [\"+_t+\"]\"})}function Yc(){var K=new Error;if(!K.stack){try{throw new Error}catch(lt){K=lt}if(!K.stack)return\"(no stack trace available)\"}return K.stack.toString()}function gI(K,lt){ot.set(K,lt)}function pg(){Xr(\"\")}function Od(){return 2147483648}function en(){return Od()}function mg(K,lt,_t){at.copyWithin(K,lt,lt+_t)}function xI(K){try{return V.grow(K-rt.byteLength+65535>>>16),At(V.buffer),1}catch(lt){}}function yI(K){var lt=at.length;K=K>>>0;var _t=Od();if(K>_t)return!1;let re=(dr,jn)=>dr+(jn-dr%jn)%jn;for(var Ke=1;Ke<=4;Ke*=2){var je=lt*(1+.2/Ke);je=Math.min(je,K+100663296);var ee=Math.min(_t,re(Math.max(K,je),65536)),te=xI(ee);if(te)return!0}return!1}var bI={varargs:void 0,get:function(){bI.varargs+=4;var K=dt[bI.varargs-4>>2];return K},getStr:function(K){var lt=Y(K);return lt}};function Hk(K){return 52}function wI(K,lt,_t,re,Ke){return 70}var Ru=[null,[],[]];function CI(K,lt){var _t=Ru[K];lt===0||lt===10?((K===1?_:A)(j(_t,0)),_t.length=0):_t.push(lt)}function II(K,lt,_t,re){for(var Ke=0,je=0;je<_t;je++){var ee=ht[lt>>2],te=ht[lt+4>>2];lt+=8;for(var dr=0;dr>2]=Ke,0}function Pd(K){var lt=e[\"_\"+K];return lt}function fg(K,lt,_t,re,Ke){var je={string:rn=>{var Nl=0;if(rn!=null&&rn!==0){var _g=(rn.length<<2)+1;Nl=Vd(_g),et(rn,Nl,_g)}return Nl},array:rn=>{var Nl=Vd(rn.length);return gI(rn,Nl),Nl}};function ee(rn){return lt===\"string\"?Y(rn):lt===\"boolean\"?Boolean(rn):rn}var te=Pd(K),dr=[],jn=0;if(re)for(var ta=0;taee===\"number\"||ee===\"boolean\"),je=lt!==\"string\";return je&&Ke&&!re?Pd(K):function(){return fg(K,lt,_t,arguments,re)}}var Ld={abort:pg,emscripten_get_heap_max:en,emscripten_memcpy_big:mg,emscripten_resize_heap:yI,fd_close:Hk,fd_seek:wI,fd_write:II},qk=Fd(),hg=e.___wasm_call_ctors=function(){return(hg=e.___wasm_call_ctors=e.asm.__wasm_call_ctors).apply(null,arguments)},SI=e._init=function(){return(SI=e._init=e.asm.init).apply(null,arguments)},Kt=e._init_with_threads_count=function(){return(Kt=e._init_with_threads_count=e.asm.init_with_threads_count).apply(null,arguments)},Md=e._get_threads_count=function(){return(Md=e._get_threads_count=e.asm.get_threads_count).apply(null,arguments)},vI=e._register_tensor=function(){return(vI=e._register_tensor=e.asm.register_tensor).apply(null,arguments)},Kk=e._dispose_data=function(){return(Kk=e._dispose_data=e.asm.dispose_data).apply(null,arguments)},jk=e._dispose=function(){return(jk=e._dispose=e.asm.dispose).apply(null,arguments)},NI=e._Abs=function(){return(NI=e._Abs=e.asm.Abs).apply(null,arguments)},gg=e._Add=function(){return(gg=e._Add=e.asm.Add).apply(null,arguments)},Zc=e._AddN=function(){return(Zc=e._AddN=e.asm.AddN).apply(null,arguments)},TI=e._All=function(){return(TI=e._All=e.asm.All).apply(null,arguments)},kI=e._Any=function(){return(kI=e._Any=e.asm.Any).apply(null,arguments)},Xk=e._ArgMax=function(){return(Xk=e._ArgMax=e.asm.ArgMax).apply(null,arguments)},EI=e._AvgPool=function(){return(EI=e._AvgPool=e.asm.AvgPool).apply(null,arguments)},_I=e._BatchMatMul=function(){return(_I=e._BatchMatMul=e.asm.BatchMatMul).apply(null,arguments)},AI=e._Ceil=function(){return(AI=e._Ceil=e.asm.Ceil).apply(null,arguments)},$I=e._ClipByValue=function(){return($I=e._ClipByValue=e.asm.ClipByValue).apply(null,arguments)},xg=e._Conv2D=function(){return(xg=e._Conv2D=e.asm.Conv2D).apply(null,arguments)},yg=e._Conv2DBackpropInput=function(){return(yg=e._Conv2DBackpropInput=e.asm.Conv2DBackpropInput).apply(null,arguments)},DI=e._Cos=function(){return(DI=e._Cos=e.asm.Cos).apply(null,arguments)},RI=e._Cosh=function(){return(RI=e._Cosh=e.asm.Cosh).apply(null,arguments)},FI=e._CropAndResize=function(){return(FI=e._CropAndResize=e.asm.CropAndResize).apply(null,arguments)},zd=e._Cumprod=function(){return(zd=e._Cumprod=e.asm.Cumprod).apply(null,arguments)},OI=e._Cumsum=function(){return(OI=e._Cumsum=e.asm.Cumsum).apply(null,arguments)},PI=e._DepthToSpace=function(){return(PI=e._DepthToSpace=e.asm.DepthToSpace).apply(null,arguments)},LI=e._DepthwiseConv2dNative=function(){return(LI=e._DepthwiseConv2dNative=e.asm.DepthwiseConv2dNative).apply(null,arguments)},Fu=e._Elu=function(){return(Fu=e._Elu=e.asm.Elu).apply(null,arguments)},MI=e._Equal=function(){return(MI=e._Equal=e.asm.Equal).apply(null,arguments)},zI=e._Exp=function(){return(zI=e._Exp=e.asm.Exp).apply(null,arguments)},bg=e._FlipLeftRight=function(){return(bg=e._FlipLeftRight=e.asm.FlipLeftRight).apply(null,arguments)},BI=e._Floor=function(){return(BI=e._Floor=e.asm.Floor).apply(null,arguments)},Jc=e._FloorDiv=function(){return(Jc=e._FloorDiv=e.asm.FloorDiv).apply(null,arguments)},VI=e._FusedBatchNorm=function(){return(VI=e._FusedBatchNorm=e.asm.FusedBatchNorm).apply(null,arguments)},GI=e._FusedConv2D=function(){return(GI=e._FusedConv2D=e.asm.FusedConv2D).apply(null,arguments)},vl=e._FusedDepthwiseConv2D=function(){return(vl=e._FusedDepthwiseConv2D=e.asm.FusedDepthwiseConv2D).apply(null,arguments)},Bd=e._Gather=function(){return(Bd=e._Gather=e.asm.Gather).apply(null,arguments)},WI=e._GatherNd=function(){return(WI=e._GatherNd=e.asm.GatherNd).apply(null,arguments)},UI=e._Greater=function(){return(UI=e._Greater=e.asm.Greater).apply(null,arguments)},HI=e._GreaterEqual=function(){return(HI=e._GreaterEqual=e.asm.GreaterEqual).apply(null,arguments)},qI=e._LeakyRelu=function(){return(qI=e._LeakyRelu=e.asm.LeakyRelu).apply(null,arguments)},wg=e._Less=function(){return(wg=e._Less=e.asm.Less).apply(null,arguments)},Cg=e._LessEqual=function(){return(Cg=e._LessEqual=e.asm.LessEqual).apply(null,arguments)},KI=e._Log=function(){return(KI=e._Log=e.asm.Log).apply(null,arguments)},jI=e._LogicalAnd=function(){return(jI=e._LogicalAnd=e.asm.LogicalAnd).apply(null,arguments)},Ig=e._LogicalNot=function(){return(Ig=e._LogicalNot=e.asm.LogicalNot).apply(null,arguments)},Sg=e._LogicalOr=function(){return(Sg=e._LogicalOr=e.asm.LogicalOr).apply(null,arguments)},XI=e._LogicalXor=function(){return(XI=e._LogicalXor=e.asm.LogicalXor).apply(null,arguments)},YI=e._Max=function(){return(YI=e._Max=e.asm.Max).apply(null,arguments)},ZI=e._MaxPool=function(){return(ZI=e._MaxPool=e.asm.MaxPool).apply(null,arguments)},vg=e._Maximum=function(){return(vg=e._Maximum=e.asm.Maximum).apply(null,arguments)},Yk=e._Mean=function(){return(Yk=e._Mean=e.asm.Mean).apply(null,arguments)},JI=e._Min=function(){return(JI=e._Min=e.asm.Min).apply(null,arguments)},QI=e._Minimum=function(){return(QI=e._Minimum=e.asm.Minimum).apply(null,arguments)},tS=e._MirrorPad=function(){return(tS=e._MirrorPad=e.asm.MirrorPad).apply(null,arguments)},eS=e._Multiply=function(){return(eS=e._Multiply=e.asm.Multiply).apply(null,arguments)},rS=e._Neg=function(){return(rS=e._Neg=e.asm.Neg).apply(null,arguments)},nS=e._NonMaxSuppressionV3=function(){return(nS=e._NonMaxSuppressionV3=e.asm.NonMaxSuppressionV3).apply(null,arguments)},oS=e._NonMaxSuppressionV4=function(){return(oS=e._NonMaxSuppressionV4=e.asm.NonMaxSuppressionV4).apply(null,arguments)},sS=e._NonMaxSuppressionV5=function(){return(sS=e._NonMaxSuppressionV5=e.asm.NonMaxSuppressionV5).apply(null,arguments)},iS=e._NotEqual=function(){return(iS=e._NotEqual=e.asm.NotEqual).apply(null,arguments)},aS=e._OneHot=function(){return(aS=e._OneHot=e.asm.OneHot).apply(null,arguments)},lS=e._PadV2=function(){return(lS=e._PadV2=e.asm.PadV2).apply(null,arguments)},uS=e._Pow=function(){return(uS=e._Pow=e.asm.Pow).apply(null,arguments)},cS=e._Prelu=function(){return(cS=e._Prelu=e.asm.Prelu).apply(null,arguments)},pS=e._Prod=function(){return(pS=e._Prod=e.asm.Prod).apply(null,arguments)},mS=e._RealDiv=function(){return(mS=e._RealDiv=e.asm.RealDiv).apply(null,arguments)},fS=e._Relu=function(){return(fS=e._Relu=e.asm.Relu).apply(null,arguments)},dS=e._Relu6=function(){return(dS=e._Relu6=e.asm.Relu6).apply(null,arguments)},hS=e._ResizeBilinear=function(){return(hS=e._ResizeBilinear=e.asm.ResizeBilinear).apply(null,arguments)},gS=e._ResizeNearestNeighbor=function(){return(gS=e._ResizeNearestNeighbor=e.asm.ResizeNearestNeighbor).apply(null,arguments)},xS=e._Reverse=function(){return(xS=e._Reverse=e.asm.Reverse).apply(null,arguments)},yS=e._RotateWithOffset=function(){return(yS=e._RotateWithOffset=e.asm.RotateWithOffset).apply(null,arguments)},bS=e._Round=function(){return(bS=e._Round=e.asm.Round).apply(null,arguments)},wS=e._Rsqrt=function(){return(wS=e._Rsqrt=e.asm.Rsqrt).apply(null,arguments)},CS=e._ScatterNd=function(){return(CS=e._ScatterNd=e.asm.ScatterNd).apply(null,arguments)},IS=e._SelectV2=function(){return(IS=e._SelectV2=e.asm.SelectV2).apply(null,arguments)},SS=e._Sigmoid=function(){return(SS=e._Sigmoid=e.asm.Sigmoid).apply(null,arguments)},vS=e._Sin=function(){return(vS=e._Sin=e.asm.Sin).apply(null,arguments)},NS=e._Softmax=function(){return(NS=e._Softmax=e.asm.Softmax).apply(null,arguments)},TS=e._SparseFillEmptyRows=function(){return(TS=e._SparseFillEmptyRows=e.asm.SparseFillEmptyRows).apply(null,arguments)},kS=e._SparseReshape=function(){return(kS=e._SparseReshape=e.asm.SparseReshape).apply(null,arguments)},ES=e._SparseSegmentReduction=function(){return(ES=e._SparseSegmentReduction=e.asm.SparseSegmentReduction).apply(null,arguments)},_S=e._Sqrt=function(){return(_S=e._Sqrt=e.asm.Sqrt).apply(null,arguments)},AS=e._Square=function(){return(AS=e._Square=e.asm.Square).apply(null,arguments)},$S=e._SquaredDifference=function(){return($S=e._SquaredDifference=e.asm.SquaredDifference).apply(null,arguments)},DS=e._Step=function(){return(DS=e._Step=e.asm.Step).apply(null,arguments)},RS=e._StridedSlice=function(){return(RS=e._StridedSlice=e.asm.StridedSlice).apply(null,arguments)},FS=e._Sub=function(){return(FS=e._Sub=e.asm.Sub).apply(null,arguments)},OS=e._Sum=function(){return(OS=e._Sum=e.asm.Sum).apply(null,arguments)},PS=e._Tan=function(){return(PS=e._Tan=e.asm.Tan).apply(null,arguments)},LS=e._Tanh=function(){return(LS=e._Tanh=e.asm.Tanh).apply(null,arguments)},MS=e._Tile=function(){return(MS=e._Tile=e.asm.Tile).apply(null,arguments)},zS=e._TopK=function(){return(zS=e._TopK=e.asm.TopK).apply(null,arguments)},BS=e._Transform=function(){return(BS=e._Transform=e.asm.Transform).apply(null,arguments)},VS=e._Transpose=function(){return(VS=e._Transpose=e.asm.Transpose).apply(null,arguments)},GS=e.__FusedMatMul=function(){return(GS=e.__FusedMatMul=e.asm._FusedMatMul).apply(null,arguments)},WS=e._malloc=function(){return(WS=e._malloc=e.asm.malloc).apply(null,arguments)},US=e._free=function(){return(US=e._free=e.asm.free).apply(null,arguments)},HS=e.___errno_location=function(){return(HS=e.___errno_location=e.asm.__errno_location).apply(null,arguments)},Ng=e.stackSave=function(){return(Ng=e.stackSave=e.asm.stackSave).apply(null,arguments)},Tg=e.stackRestore=function(){return(Tg=e.stackRestore=e.asm.stackRestore).apply(null,arguments)},Vd=e.stackAlloc=function(){return(Vd=e.stackAlloc=e.asm.stackAlloc).apply(null,arguments)},qS=e.dynCall_iijjiiii=function(){return(qS=e.dynCall_iijjiiii=e.asm.dynCall_iijjiiii).apply(null,arguments)},KS=e.dynCall_jiji=function(){return(KS=e.dynCall_jiji=e.asm.dynCall_jiji).apply(null,arguments)};e.cwrap=dg;var Qc;zr=function K(){Qc||kg(),Qc||(zr=K)};function kg(K){if(K=K||a,qe>0||(Ae(),qe>0))return;function lt(){Qc||(Qc=!0,e.calledRun=!0,!G&&(We(),n(e),e.onRuntimeInitialized&&e.onRuntimeInitialized(),_n()))}e.setStatus?(e.setStatus(\"Running...\"),setTimeout(function(){setTimeout(function(){e.setStatus(\"\")},1),lt()},1)):lt()}if(e.preInit)for(typeof e.preInit==\"function\"&&(e.preInit=[e.preInit]);e.preInit.length>0;)e.preInit.pop()();kg();var tp;s&&(tp={uncaughtException:process.listeners(\"uncaughtException\").filter(function(K){return!s.uncaughtException.indexOf(K)>-1}),unhandledRejection:process.listeners(\"unhandledRejection\").filter(function(K){return!s.unhandledRejection.indexOf(K)>-1})});var ep;if(typeof t!=\"undefined\")ep=t;else if(typeof WasmBackendModuleThreadedSimd!=\"undefined\")ep=WasmBackendModuleThreadedSimd;else throw new Error(\"Could not find wasm module in post.js\");if(tp){var jS=ep._dispose;ep._dispose=function(){jS(),tp.uncaughtException.forEach(function(K){process.removeListener(\"uncaughtException\",K)}),tp.unhandledRejection.forEach(function(K){process.removeListener(\"unhandledRejection\",K)})}}return t.ready}})();typeof dI==\"object\"&&typeof Lk==\"object\"?Lk.exports=Pk:typeof define==\"function\"&&define.amd?define([],function(){return Pk}):typeof dI==\"object\"&&(dI.WasmBackendModule=Pk)});var ra=class{constructor(t,e){this.backend=t,this.dataMover=e,this.data=new WeakMap,this.dataIdsCount=0}get(t){return this.data.has(t)||this.dataMover.moveData(this.backend,t),this.data.get(t)}set(t,e){this.dataIdsCount++,this.data.set(t,e)}has(t){return this.data.has(t)}delete(t){return this.dataIdsCount--,this.data.delete(t)}numDataIds(){return this.dataIdsCount}},zo=class{refCount(t){return $n(\"refCount\")}incRef(t){return $n(\"incRef\")}timerAvailable(){return!0}time(t){return $n(\"time\")}read(t){return $n(\"read\")}readSync(t){return $n(\"readSync\")}readToGPU(t,e){return $n(\"readToGPU\")}numDataIds(){return $n(\"numDataIds\")}disposeData(t,e){return $n(\"disposeData\")}write(t,e,n){return $n(\"write\")}move(t,e,n,o,s){return $n(\"move\")}createTensorFromTexture(t,e,n){return $n(\"createTensorFromTexture\")}memory(){return $n(\"memory\")}floatPrecision(){return $n(\"floatPrecision\")}epsilon(){return this.floatPrecision()===32?1e-7:1e-4}dispose(){return $n(\"dispose\")}};function $n(r){throw new Error(`'${r}' not yet implemented or not found in the registry. This kernel may not be supported by the tfjs backend you have chosen`)}function s1(r){let t=r.length,e=0;for(;t>0;)e=Math.random()*t|0,t--,Lg(r,t,e)}function LU(r,t){if(r.length!==t.length)throw new Error(`Array sizes must match to be shuffled together First array length was ${r.length}Second array length was ${t.length}`);let e=r.length,n=0;for(;e>0;)n=Math.random()*e|0,e--,Lg(r,e,n),Lg(t,e,n)}function np(r,t,e){return Math.max(r,Math.min(t,e))}function MU(r){return r%2===0?r:r+1}function Lg(r,t,e){let n=r[t];r[t]=r[e],r[e]=n}function zU(r){let t=0;for(let e=0;ee+` Shapes ${r} and ${t} must match`)}function Yn(r){E(r!=null,()=>\"The input to the tensor constructor must be a non-null value.\")}function Bo(r,t=[],e=!1){if(t==null&&(t=[]),Array.isArray(r)||xr(r)&&!e)for(let n=0;n0,e,n){return new Promise((o,s)=>{let i=0,a=()=>{if(r()){o();return}i++;let u=t(i);if(e!=null&&i>=e){s();return}n!=null?n(a,u):setTimeout(a,u)};a()})}function KU(r,t){let e=1,n=-1;for(let s=0;s=0)e*=r[s];else if(r[s]===-1){if(n!==-1)throw Error(`Shapes can only have 1 implicit size. Found -1 at dim ${n} and dim ${s}`);n=s}else if(r[s]<0)throw Error(`Shapes can not be < 0. Found ${r[s]} at dim ${s}`);if(n===-1){if(t>0&&t!==e)throw Error(`Size(${t}) must match the product of shape ${r}`);return r}if(e===0)throw Error(`Cannot infer the missing size in [${r}] when there are 0 elements`);if(t%e!==0)throw Error(`The implicit shape can't be a fractional number. Got ${t} / ${e}`);let o=r.slice();return o[n]=t/e,o}function lr(r,t){let e=t.length;return r=r==null?t.map((n,o)=>o):[].concat(r),E(r.every(n=>n>=-e&&n`All values in axis param must be in range [-${e}, ${e}) but got axis ${r}`),E(r.every(n=>na(n)),()=>`All values in axis param must be integers but got axis ${r}`),r.map(n=>n<0?e+n:n)}function t0(r,t){let e=[],n=[],o=t!=null&&Array.isArray(t)&&t.length===0,s=t==null||o?null:lr(t,r).sort(),i=0;for(let a=0;aa)&&r[a]===1&&(e.push(r[a]),n.push(a)),s[i]<=a&&i++}r[a]!==1&&(e.push(r[a]),n.push(a))}return{newShape:e,keptDims:n}}function e0(r,t){let e=null;if(r==null||r===\"float32\")e=new Float32Array(t);else if(r===\"int32\")e=new Int32Array(t);else if(r===\"bool\")e=new Uint8Array(t);else throw new Error(`Unknown data type ${r}`);return e}function r0(r,t){let e=null;if(r==null||r===\"float32\")e=new Float32Array(t);else if(r===\"int32\")e=new Int32Array(t);else if(r===\"bool\")e=new Uint8Array(t);else if(r===\"string\")e=new Array(t);else throw new Error(`Unknown data type ${r}`);return e}function n0(r,t){for(let e=0;et+=e.length),t}function Vo(r){return typeof r==\"string\"||r instanceof String}function i1(r){return typeof r==\"boolean\"}function a1(r){return typeof r==\"number\"}function op(r){return Array.isArray(r)?op(r[0]):r instanceof Float32Array?\"float32\":r instanceof Int32Array||r instanceof Uint8Array||r instanceof Uint8ClampedArray?\"int32\":a1(r)?\"float32\":Vo(r)?\"string\":i1(r)?\"bool\":\"float32\"}function oi(r){return!!(r&&r.constructor&&r.call&&r.apply)}function sp(r,t){for(let e=t;e=0;--n)e[n]=e[n+1]*r[n+1];return e}function l1(r,t,e,n=!1){let o=new Array;if(t.length===1){let s=t[0]*(n?2:1);for(let i=0;iu*l)*(n?2:1);for(let u=0;uo*s)*(e?2:1);if(n===0)return[];if(n!==t.length)throw new Error(`[${r}] does not match the input size ${t.length}${e?\" for a complex tensor\":\"\"}.`);return l1(0,r,t,e)}function Wd(r,t){let e=ip(r,t);for(let n=0;nn*o,1);if(t==null||t===\"float32\")return Ou(r,new Float32Array(e));if(t===\"int32\")return Ou(r,new Int32Array(e));if(t===\"bool\")return Ou(r,new Uint8Array(e));throw new Error(`Unknown data type ${t}`)}function Ud(r){r.forEach(t=>{E(Number.isInteger(t)&&t>=0,()=>`Tensor must have a shape comprised of positive integers but got shape [${r}].`)})}function YU(r,t,e){if(t===0)return 0;if(t===1)return r[0];let n=r[r.length-1];for(let o=0;o{let[o,s]=n.split(\":\");this.urlFlags[o]=e4(o,s)})}};function QU(r){let t={};return r.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g,(e,...n)=>(t4(t,n[0],n[1]),n.join(\"=\"))),t}function t4(r,t,e){r[decodeURIComponent(t)]=decodeURIComponent(e||\"\")}function e4(r,t){if(t=t.toLowerCase(),t===\"true\"||t===\"false\")return t===\"true\";if(`${+t}`===t)return+t;throw new Error(`Could not parse value flag value ${t} for flag ${r}.`)}function z(){return i0}var i0=null;function c1(r){i0=r}var a0;function l0(){if(a0==null){let r;if(typeof window!=\"undefined\")r=window;else if(typeof global!=\"undefined\")r=global;else if(typeof process!=\"undefined\")r=process;else if(typeof self!=\"undefined\")r=self;else throw new Error(\"Could not find a global object\");a0=r}return a0}function r4(){let r=l0();return r._tfGlobals==null&&(r._tfGlobals=new Map),r._tfGlobals}function Kd(r,t){let e=r4();if(e.has(r))return e.get(r);{let n=t();return e.set(r,n),e.get(r)}}var ii=\"Abs\",oa=\"Acos\",sa=\"Acosh\",Zn=\"Add\",Go=\"AddN\",ia=\"All\",aa=\"Any\",Wo=\"ArgMax\",kl=\"ArgMin\",la=\"Asin\",ua=\"Asinh\",ca=\"Atan\",pa=\"Atanh\",ma=\"Atan2\",Uo=\"AvgPool\",ap=\"AvgPoolGrad\",El=\"AvgPool3D\",lp=\"AvgPool3DGrad\",Ho=\"BatchMatMul\",ai=\"BatchToSpaceND\",up=\"Bincount\",p1=\"BroadcastTo\",cp=\"BroadcastArgs\",lo=\"Cast\",qo=\"Ceil\",uo=\"ClipByValue\",pp=\"Complex\",_l=\"ComplexAbs\",li=\"Concat\",Ko=\"Conv2D\",mp=\"Conv2DBackpropFilter\",jo=\"Conv2DBackpropInput\",Al=\"Conv3D\",fp=\"Conv3DBackpropFilterV2\",dp=\"Conv3DBackpropInputV2\",Xo=\"Cos\",Yo=\"Cosh\",fa=\"Cumprod\",Zo=\"Cumsum\",da=\"CropAndResize\",hp=\"DenseBincount\",ha=\"DepthToSpace\",Jo=\"DepthwiseConv2dNative\",gp=\"DepthwiseConv2dNativeBackpropFilter\",xp=\"DepthwiseConv2dNativeBackpropInput\",yp=\"Diag\",$l=\"Dilation2D\",jd=\"Dilation2DBackpropInput\",Xd=\"Dilation2DBackpropFilter\",Qo=\"RealDiv\",bp=\"Einsum\",ts=\"Elu\",wp=\"EluGrad\",ga=\"Erf\",xa=\"Equal\",es=\"Exp\",ui=\"ExpandDims\",ya=\"Expm1\",Cp=\"FFT\",Dl=\"Fill\",ba=\"FlipLeftRight\",rs=\"Floor\",ns=\"FloorDiv\",os=\"FusedBatchNorm\",ci=\"GatherV2\",wa=\"GatherNd\",Ca=\"Greater\",ss=\"GreaterEqual\",co=\"Identity\",Ip=\"IFFT\",Sp=\"Imag\",Ia=\"IsFinite\",Sa=\"IsInf\",va=\"IsNan\",is=\"LeakyRelu\",Na=\"Less\",Ta=\"LessEqual\",vp=\"LinSpace\",as=\"Log\",ka=\"Log1p\",Ea=\"LogicalAnd\",_a=\"LogicalNot\",Aa=\"LogicalOr\",m1=\"LogicalXor\",f1=\"LogSoftmax\",wlt=\"LowerBound\",Rl=\"LRN\",Np=\"LRNGrad\",ls=\"Max\",us=\"Maximum\",cs=\"MaxPool\",Tp=\"MaxPoolGrad\",Fl=\"MaxPool3D\",kp=\"MaxPool3DGrad\",Ep=\"MaxPoolWithArgmax\",ps=\"Mean\",ms=\"Min\",fs=\"Minimum\",ds=\"MirrorPad\",$a=\"Mod\",_p=\"Multinomial\",hs=\"Multiply\",pi=\"Neg\",Da=\"NotEqual\",Ra=\"NonMaxSuppressionV3\",Fa=\"NonMaxSuppressionV4\",Oa=\"NonMaxSuppressionV5\",mi=\"OnesLike\",gs=\"OneHot\",fi=\"Pack\",xs=\"PadV2\",Clt=\"Pool\",ys=\"Pow\",bs=\"Prelu\",ws=\"Prod\",Ap=\"RaggedGather\",$p=\"RaggedRange\",Dp=\"RaggedTensorToTensor\",Ol=\"Range\",Rp=\"Real\",Pa=\"Reciprocal\",Cs=\"Relu\",di=\"Reshape\",Is=\"ResizeNearestNeighbor\",Fp=\"ResizeNearestNeighborGrad\",Ss=\"ResizeBilinear\",Op=\"ResizeBilinearGrad\",vs=\"Relu6\",Ns=\"Reverse\",Ts=\"Round\",ks=\"Rsqrt\",La=\"ScatterNd\",Pp=\"SearchSorted\",hi=\"Select\",Ma=\"Selu\",gi=\"Slice\",Es=\"Sin\",za=\"Sinh\",Ba=\"Sign\",_s=\"Sigmoid\",Va=\"Softplus\",As=\"Sqrt\",$s=\"Sum\",xi=\"SpaceToBatchND\",yi=\"SplitV\",Ds=\"Softmax\",Pl=\"SparseFillEmptyRows\",Ga=\"SparseReshape\",Ll=\"SparseSegmentMean\",Ml=\"SparseSegmentSum\",Lp=\"SparseToDense\",Rs=\"SquaredDifference\",zl=\"Square\",Wa=\"StridedSlice\",Bl=\"StringNGrams\",Vl=\"StringSplit\",Gl=\"StringToHashBucketFast\",Fs=\"Sub\",Os=\"Tan\",Ps=\"Tanh\",Jn=\"Tile\",Ua=\"TopK\",Ha=\"Transform\",Qn=\"Transpose\",Mp=\"Unique\",bi=\"Unpack\",Wl=\"UnsortedSegmentSum\",Ilt=\"UpperBound\",wi=\"ZerosLike\",po=\"Step\",Yd=\"FromPixels\",qa=\"RotateWithOffset\",Ci=\"_FusedMatMul\",Ii=\"FusedConv2D\",Si=\"FusedDepthwiseConv2D\";function vi(...r){z().getBool(\"IS_TEST\")||z().getBool(\"PROD\")||console.warn(...r)}function n4(...r){z().getBool(\"IS_TEST\")||z().getBool(\"PROD\")||console.log(...r)}var zp=Kd(\"kernelRegistry\",()=>new Map),Zd=Kd(\"gradRegistry\",()=>new Map);function Jd(r,t){let e=c0(r,t);return zp.get(e)}function u0(r){return Zd.get(r)}function zg(r){let t=zp.entries(),e=[];for(;;){let{done:n,value:o}=t.next();if(n)break;let[s,i]=o,[a]=s.split(\"_\");a===r&&e.push(i)}return e}function Lu(r){let{kernelName:t,backendName:e}=r,n=c0(t,e);zp.has(n)&&vi(`The kernel '${t}' for backend '${e}' is already registered`),zp.set(n,r)}function h1(r){let{kernelName:t}=r;Zd.has(t)&&z().getBool(\"DEBUG\")&&vi(`Overriding the gradient for '${t}'`),Zd.set(t,r)}function klt(r,t){let e=c0(r,t);if(!zp.has(e))throw new Error(`The kernel '${r}' for backend '${t}' is not registered`);zp.delete(e)}function Elt(r){if(!Zd.has(r))throw new Error(`The gradient '${r}' for backend is not registered`);Zd.delete(r)}function _lt(r,t){zg(r).forEach(n=>{let o=Object.assign({},n,{backendName:t});Lu(o)})}function c0(r,t){return`${t}_${r}`}var y={};Wt(y,{arraysEqual:()=>Dn,assert:()=>E,assertNonNegativeIntegerDimensions:()=>Ud,assertNonNull:()=>Yn,assertShapesMatch:()=>$e,bytesFromStringArray:()=>s0,bytesPerElement:()=>Mg,checkConversionForErrors:()=>n0,clamp:()=>np,computeStrides:()=>si,createScalarValue:()=>c4,createShuffledIndices:()=>HU,decodeString:()=>Wp,distSquared:()=>VU,encodeString:()=>Hl,fetch:()=>m4,fingerPrint64:()=>u4,flatten:()=>Bo,getArrayFromDType:()=>r0,getTypedArrayFromDType:()=>e0,hasEncodingLoss:()=>jU,hexToLong:()=>Qd,indexToLoc:()=>ZU,inferDtype:()=>op,inferFromImplicitShape:()=>KU,isBoolean:()=>i1,isFunction:()=>oi,isInt:()=>na,isNumber:()=>a1,isPromise:()=>Hd,isScalarShape:()=>GU,isString:()=>Vo,isTypedArray:()=>xr,isValidDtype:()=>o0,locToIndex:()=>YU,makeOnesTypedArray:()=>Wd,makeZerosNestedTypedArray:()=>XU,makeZerosTypedArray:()=>ip,nearestDivisor:()=>sp,nearestLargerEven:()=>MU,now:()=>Gu,parseAxisParam:()=>lr,randUniform:()=>BU,repeatedTry:()=>qU,rightPad:()=>Pu,shuffle:()=>s1,shuffleCombo:()=>LU,sizeFromShape:()=>Jt,sizeToSquarishShape:()=>UU,squeezeShape:()=>t0,sum:()=>zU,swap:()=>Lg,tanh:()=>WU,toNestedArray:()=>Ou,toTypedArray:()=>Gp});var d0=Tl(T1());var Vu=d0.default||d0;function Qd(r){return Vu.fromString(r,!0,16)}var E1=Qd(\"c3a5c85c97cb3127\"),Bu=Qd(\"b492b66fbe98f273\"),nn=Qd(\"9ae16a3b2f90404f\");function f0(r){return r.xor(r.shru(47))}function _1(r,t,e){let n=r.slice(t,t+e);return Vu.fromBytes(Array.from(n),!0,!0)}function Pe(r,t){return _1(r,t,8)}function k1(r,t){return _1(r,t,4)}function kr(r,t){return t===0?r:r.shru(t).or(r.shl(64-t))}function Ul(r,t,e=Qd(\"9ddfea08eb382d69\")){let n=r.xor(t).mul(e);n=n.xor(n.shru(47));let o=t.xor(n).mul(e);return o=o.xor(o.shru(47)),o=o.mul(e),o}function s4(r,t,e,n,o,s){o=o.add(r),s=kr(s.add(o).add(n),21);let i=o;return o=o.add(t),o=o.add(e),s=s.add(kr(o,44)),[o.add(n),s.add(i)]}function Vg(r,t,e,n){return s4(Pe(r,t),Pe(r,t+8),Pe(r,t+16),Pe(r,t+24),e,n)}function i4(r,t=r.length){if(t>=8){let e=nn.add(t*2),n=Pe(r,0).add(nn),o=Pe(r,t-8),s=kr(o,37).mul(e).add(n),i=kr(n,25).add(o).mul(e);return Ul(s,i,e)}if(t>=4){let e=nn.add(t*2),n=k1(r,0);return Ul(n.shl(3).add(t),k1(r,t-4),e)}if(t>0){let e=r[0],n=r[t>>1],o=r[t-1],s=e+(n<<8),i=t+(o<<2);return f0(nn.mul(s).xor(E1.mul(i))).mul(nn)}return nn}function a4(r,t=r.length){let e=nn.add(t*2),n=Pe(r,0).mul(Bu),o=Pe(r,8),s=Pe(r,t-8).mul(e),i=Pe(r,t-16).mul(nn);return Ul(kr(n.add(o),43).add(kr(s,30)).add(i),n.add(kr(o.add(nn),18)).add(s),e)}function l4(r,t=r.length){let e=nn.add(t*2),n=Pe(r,0).mul(nn),o=Pe(r,8),s=Pe(r,t-8).mul(e),i=Pe(r,t-16).mul(nn),a=kr(n.add(o),43).add(kr(s,30)).add(i),u=Ul(a,n.add(kr(o.add(nn),18)).add(s),e),l=Pe(r,16).mul(e),c=Pe(r,24),p=a.add(Pe(r,t-32)).mul(e),m=u.add(Pe(r,t-24)).mul(e);return Ul(kr(l.add(c),43).add(kr(p,30)).add(m),l.add(kr(c.add(n),18)).add(p),e)}function u4(r,t=r.length){let e=Vu.fromNumber(81,!0);if(t<=32)return t<=16?i4(r,t):a4(r,t);if(t<=64)return l4(r,t);let n=e,o=e.mul(Bu).add(113),s=f0(o.mul(nn).add(113)).mul(nn),i=[Vu.UZERO,Vu.UZERO],a=[Vu.UZERO,Vu.UZERO];n=n.mul(nn).add(Pe(r,0));let u=0,l=(t-1>>6)*64,c=l+(t-1&63)-63;do n=kr(n.add(o).add(i[0]).add(Pe(r,u+8)),37).mul(Bu),o=kr(o.add(i[1]).add(Pe(r,u+48)),42).mul(Bu),n=n.xor(a[1]),o=o.add(i[0]).add(Pe(r,u+40)),s=kr(s.add(a[0]),33).mul(Bu),i=Vg(r,u,i[1].mul(Bu),n.add(a[0])),a=Vg(r,u+32,s.add(a[1]),o.add(Pe(r,u+16))),[s,n]=[n,s],u+=64;while(u!==l);let p=Bu.add(s.and(255).shl(1));return u=c,a[0]=a[0].add(t-1&63),i[0]=i[0].add(a[0]),a[0]=a[0].add(i[0]),n=kr(n.add(o).add(i[0]).add(Pe(r,u+8)),37).mul(p),o=kr(o.add(i[1]).add(Pe(r,u+48)),42).mul(p),n=n.xor(a[1].mul(9)),o=o.add(i[0].mul(9).add(Pe(r,u+40))),s=kr(s.add(a[0]),33).mul(p),i=Vg(r,u,i[1].mul(p),n.add(a[0])),a=Vg(r,u+32,s.add(a[1]),o.add(Pe(r,u+16))),[s,n]=[n,s],Ul(Ul(i[0],a[0],p).add(f0(o).mul(E1)).add(s),Ul(i[1],a[1],p).add(n),p)}function c4(r,t){return t===\"string\"?Hl(r):Gp([r],t)}function p4(r,t){return r instanceof Float32Array&&t===\"float32\"||r instanceof Int32Array&&t===\"int32\"||r instanceof Uint8Array&&t===\"bool\"}function Gp(r,t){if(t===\"string\")throw new Error(\"Cannot convert a string[] to a TypedArray\");if(Array.isArray(r)&&(r=Bo(r)),z().getBool(\"DEBUG\")&&n0(r,t),p4(r,t))return r;if(t==null||t===\"float32\"||t===\"complex64\")return new Float32Array(r);if(t===\"int32\")return new Int32Array(r);if(t===\"bool\"){let e=new Uint8Array(r.length);for(let n=0;n{o=n()},i,a=Gu();if(this.backendTimer.timerAvailable())i=this.backendTimer.time(s);else{s();for(let l of o)l.dataSync();i=Promise.resolve({kernelMs:Gu()-a})}if(z().getBool(\"CHECK_COMPUTATION_FOR_ERRORS\"))for(let l=0;l{f4(p,c.dtype,t)})}return{kernelName:t,outputs:o,inputs:e,timeMs:i.then(l=>l.kernelMs),extraInfo:i.then(l=>l.getExtraProfileInfo!=null?l.getExtraProfileInfo():\"\")}}logKernelProfile(t){let{kernelName:e,outputs:n,timeMs:o,inputs:s,extraInfo:i}=t;n.forEach(a=>{Promise.all([a.data(),o,i]).then(u=>{this.logger.logKernelProfile(e,a,u[0],u[1],s,u[2])})})}};function f4(r,t,e){if(t!==\"float32\")return!1;for(let n=0;n0?h:\"\"} `}}console.log(`%c${u}\t%c${a}\t%c${l}D ${p}\t%c${c}\t%c${m}\t%c${i}`,\"font-weight:bold\",\"color:red\",\"color:blue\",\"color: orange\",\"color: green\",\"color: steelblue\")}};function A1(r,t,e){let n={},o={};for(let u=0;un[h.id]=!0),f=!0,o[l.id]=!0;break}if(f)break}}let s={};s[e.id]=!0;let i={};for(let u=r.length-1;u>=0;u--){let l=r[u],c=l.inputs;for(let p=0;p=0;o--){let s=t[o],i=[];if(s.outputs.forEach(u=>{let l=r[u.id];l!=null?i.push(l):i.push(null)}),s.gradient==null)throw new Error(`Cannot compute gradient: gradient function not found for ${s.kernelName}.`);let a=s.gradient(i);for(let u in s.inputs){if(!(u in a))throw new Error(`Cannot backprop through input ${u}. Available gradients found: ${Object.keys(a)}.`);let l=e(()=>a[u]());if(l.dtype!==\"float32\")throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input ${u} must have 'float32' dtype, but has '${l.dtype}'`);let c=s.inputs[u];if(!Dn(l.shape,c.shape))throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input '${u}' has shape '${l.shape}', which does not match the shape of the input '${c.shape}'`);if(r[c.id]==null)r[c.id]=l;else{let p=r[c.id];r[c.id]=n(p,l),p.dispose()}}}}var D1=20,th=3,g0=7;function R1(r,t,e,n){let o=si(t),s=d4(r,t,e,o),i=t.length,a=Wg(r,t,e,o,s),u=[\"Tensor\"];return n&&(u.push(` dtype: ${e}`),u.push(` rank: ${i}`),u.push(` shape: [${t}]`),u.push(\" values:\")),u.push(a.map(l=>\" \"+l).join(`\n`)),u.join(`\n`)}function d4(r,t,e,n){let o=Jt(t),s=n[n.length-1],i=new Array(s).fill(0),a=t.length,u=e===\"complex64\"?rh(r):r;if(a>1)for(let l=0;lD1){let g=th*i,x=Array.from(r.slice(0,g)),b=Array.from(r.slice((a-th)*i,a*i));return e===\"complex64\"&&(x=rh(x),b=rh(b)),[\"[\"+x.map((w,C)=>eh(w,o[C],e)).join(\", \")+\", ..., \"+b.map((w,C)=>eh(w,o[a-th+C],e)).join(\", \")+\"]\"]}let h=e===\"complex64\"?rh(r):Array.from(r);return[\"[\"+h.map((g,x)=>eh(g,o[x],e)).join(\", \")+\"]\"]}let l=t.slice(1),c=n.slice(1),p=n[0]*i,m=[];if(a>D1){for(let h=0;h`Length of values '${o}' does not match the size inferred by the shape '${this.size}'.`)}if(e===\"complex64\")throw new Error(\"complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).\");this.values=n||r0(e,this.size),this.strides=si(t)}set(t,...e){e.length===0&&(e=[0]),E(e.length===this.rank,()=>`The number of provided coordinates (${e.length}) must match the rank (${this.rank})`);let n=this.locToIndex(e);this.values[n]=t}get(...t){t.length===0&&(t=[0]);let e=0;for(let o of t){if(o<0||o>=this.shape[e]){let s=`Requested out of range element at ${t}. Buffer shape=${this.shape}`;throw new Error(s)}e++}let n=t[t.length-1];for(let o=0;oWp(n))}catch(n){throw new Error(\"Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().\")}}return t}dataToGPU(t){return this.throwIfDisposed(),Ms().readToGPU(this.dataId,t)}dataSync(){this.throwIfDisposed();let t=Ms().readSync(this.dataId);if(this.dtype===\"string\")try{return t.map(e=>Wp(e))}catch(e){throw new Error(\"Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().\")}return t}async bytes(){this.throwIfDisposed();let t=await Ms().read(this.dataId);return this.dtype===\"string\"?t:new Uint8Array(t.buffer)}dispose(){this.isDisposed||(Ms().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error(\"Tensor is disposed.\")}print(t=!1){return Up.print(this,t)}clone(){return this.throwIfDisposed(),Up.clone(this)}toString(t=!1){let e=this.dataSync();return R1(e,this.shape,this.dtype,t)}cast(t){return this.throwIfDisposed(),Up.cast(this,t)}variable(t=!0,e,n){return this.throwIfDisposed(),Ms().makeVariable(this,t,e,n)}};Object.defineProperty(Ft,Symbol.hasInstance,{value:r=>!!r&&r.data!=null&&r.dataSync!=null&&r.throwIfDisposed!=null});function O(){return Kd(\"Tensor\",()=>Ft)}O();var Ka=class extends Ft{constructor(t,e,n,o){super(t.shape,t.dtype,t.dataId,o),this.trainable=e,this.name=n}assign(t){if(t.dtype!==this.dtype)throw new Error(`dtype of the new value (${t.dtype}) and previous value (${this.dtype}) must match`);if(!Dn(t.shape,this.shape))throw new Error(`shape of the new value (${t.shape}) and previous value (${this.shape}) must match`);Ms().disposeTensor(this),this.dataId=t.dataId,Ms().incRef(this,null)}dispose(){Ms().disposeVariable(this),this.isDisposedInternal=!0}};Object.defineProperty(Ka,Symbol.hasInstance,{value:r=>r instanceof Ft&&r.assign!=null&&r.assign instanceof Function});var go={};Wt(go,{assertTypesMatch:()=>I0,getTensorsInContainer:()=>nh,isTensorInList:()=>x4,makeTypesMatch:()=>Ut});var x0;(function(r){r.R0=\"R0\",r.R1=\"R1\",r.R2=\"R2\",r.R3=\"R3\",r.R4=\"R4\",r.R5=\"R5\",r.R6=\"R6\"})(x0||(x0={}));var y0;(function(r){r.float32=\"float32\",r.int32=\"int32\",r.bool=\"int32\",r.complex64=\"complex64\"})(y0||(y0={}));var b0;(function(r){r.float32=\"float32\",r.int32=\"int32\",r.bool=\"bool\",r.complex64=\"complex64\"})(b0||(b0={}));var w0;(function(r){r.float32=\"float32\",r.int32=\"float32\",r.bool=\"float32\",r.complex64=\"complex64\"})(w0||(w0={}));var C0;(function(r){r.float32=\"complex64\",r.int32=\"complex64\",r.bool=\"complex64\",r.complex64=\"complex64\"})(C0||(C0={}));var g4={float32:w0,int32:y0,bool:b0,complex64:C0};function sr(r,t){if(r===\"string\"||t===\"string\"){if(r===\"string\"&&t===\"string\")return\"string\";throw new Error(`Can not upcast ${r} with ${t}`)}return g4[r][t]}function Wu(r){return sr(r,\"int32\")}function Ut(r,t){if(r.dtype===t.dtype)return[r,t];let e=sr(r.dtype,t.dtype);return[r.cast(e),t.cast(e)]}function I0(r,t){E(r.dtype===t.dtype,()=>`The dtypes of the first(${r.dtype}) and second(${t.dtype}) input must match`)}function x4(r,t){return t.some(e=>e.id===r.id)}function nh(r){let t=[];return M1(r,t,new Set),t}function M1(r,t,e){if(r==null)return;if(r instanceof Ft){t.push(r);return}if(!y4(r))return;let n=r;for(let o in n){let s=n[o];e.has(s)||(e.add(s),M1(s,t,e))}}function y4(r){return Array.isArray(r)||typeof r==\"object\"}function S0(r){return r.kernelName!=null}var Ug=class{constructor(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null,get kernelNames(){return Array.from(new Set(this.kernels.map(t=>t.name)))}}}dispose(){for(let t in this.registeredVariables)this.registeredVariables[t].dispose()}},ql=class{constructor(t){this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Ug}async ready(){if(this.pendingBackendInit!=null)return this.pendingBackendInit.then(()=>{});if(this.backendInstance!=null)return;let t=this.getSortedBackends();for(let e=0;e{e.setupFunc!=null&&e.setupFunc(this.backendInstance)})}disposeRegisteredKernels(t){zg(t).forEach(n=>{n.disposeFunc!=null&&n.disposeFunc(this.registry[t])})}initializeBackend(t){let e=this.registryFactory[t];if(e==null)throw new Error(`Cannot initialize backend ${t}, no registration found.`);try{let n=e.factory();if(n&&!(n instanceof zo)&&typeof n.then==\"function\"){let o=++this.pendingBackendInitId,s=n.then(i=>o(othis.registryFactory[e].priority-this.registryFactory[t].priority)}initializeBackendsAndReturnBest(){let t=this.getSortedBackends();for(let e=0;ethis.startScope(n),()=>this.endScope(o),()=>(o=e(),o instanceof Promise&&console.error(\"Cannot return a Promise inside of tidy.\"),o))}scopedRun(t,e,n){t();try{let o=n();return e(),o}catch(o){throw e(),o}}nextTensorId(){return ql.nextTensorId++}nextVariableId(){return ql.nextVariableId++}clone(t){let e=k.runKernel(co,{x:t}),n={x:t},o=i=>({x:()=>{let a=\"float32\",u={x:i},l={dtype:a};return k.runKernel(lo,u,l)}}),s=[];return this.addTapeNode(this.state.activeScope.name,n,[e],o,s,{}),e}runKernel(t,e,n){if(this.backendName==null&&this.backend,!(Jd(t,this.backendName)!=null))throw new Error(`Kernel '${t}' not registered for backend '${this.backendName}'`);return this.runKernelFunc({kernelName:t,inputs:e,attrs:n})}shouldCheckForMemLeaks(){return this.ENV.getBool(\"IS_TEST\")}checkKernelForMemLeak(t,e,n){let o=this.backend.numDataIds(),s=0;n.forEach(u=>{s+=u.dtype===\"complex64\"?3:1});let i=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],a=o-e-s-i;if(a>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${a} data ids) after running '${t}'`)}runKernelFunc(t){let e,n=[],o=this.isTapeOn(),s=this.state.numBytes,i=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);let a;this.backendName==null&&this.backend;let u,l=S0(t)?t.kernelName:this.state.activeScope!=null?this.state.activeScope.name:\"\";if(S0(t)){let{kernelName:d,inputs:h,attrs:g}=t;this.backendName==null&&this.backend;let x=Jd(d,this.backendName);E(x!=null,()=>`Cannot find registered kernel '${d}' for backend '${this.backendName}'`),a=()=>{let b=this.backend.numDataIds();u=x.kernelFunc({inputs:h,attrs:g,backend:this.backend});let w=Array.isArray(u)?u:[u];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(d,b,w);let C=w.map(N=>N.rank!=null?N:this.makeTensorFromTensorInfo(N));if(o){let N=this.getTensorsForGradient(d,h,C);n=this.saveTensorsForBackwardMode(N)}return C}}else{let{forwardFunc:d}=t,h=g=>{!o||(n=g.map(x=>this.keep(this.clone(x))))};a=()=>{let g=this.backend.numDataIds();u=this.tidy(()=>d(this.backend,h));let x=Array.isArray(u)?u:[u];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(l,g,x),x}}let{inputs:c,attrs:p}=t,m=S0(t)?null:t.backwardsFunc,f;return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{!this.ENV.getBool(\"DEBUG\")&&!this.state.profiling?e=a():(f=this.profiler.profileKernel(l,c,()=>a()),this.ENV.getBool(\"DEBUG\")&&this.profiler.logKernelProfile(f),e=f.outputs)}),o&&this.addTapeNode(l,c,e,m,n,p),this.state.profiling&&this.state.activeProfile.kernels.push({name:l,bytesAdded:this.state.numBytes-s,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-i,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(c).map(d=>c[d]!=null?c[d].shape:null),outputShapes:e.map(d=>d.shape),kernelTimeMs:f.timeMs,extraInfo:f.extraInfo}),Array.isArray(u)?e:e[0]}saveTensorsForBackwardMode(t){return t.map(n=>this.keep(this.clone(n)))}getTensorsForGradient(t,e,n){let o=u0(t);if(o!=null){let s=o.inputsToSave||[],i=o.outputsToSave||[],a;o.saveAllInputs?(E(Array.isArray(e),()=>\"saveAllInputs is true, expected inputs to be an array.\"),a=Object.keys(e).map(l=>e[l])):a=s.map(l=>e[l]);let u=n.filter((l,c)=>i[c]);return a.concat(u)}return[]}makeTensor(t,e,n,o){if(t==null)throw new Error(\"Values passed to engine.makeTensor() are null\");n=n||\"float32\",o=o||this.backend;let s=t;n===\"string\"&&Vo(t[0])&&(s=t.map(u=>Hl(u)));let i=o.write(s,e,n),a=new Ft(e,n,i,this.nextTensorId());if(this.trackTensor(a,o),n===\"string\"){let u=this.state.tensorInfo.get(i),l=s0(s);this.state.numBytes+=l-u.bytes,u.bytes=l}return a}makeTensorFromDataId(t,e,n,o){n=n||\"float32\";let s={dataId:t,shape:e,dtype:n};return this.makeTensorFromTensorInfo(s,o)}makeTensorFromTensorInfo(t,e){let{dataId:n,shape:o,dtype:s}=t,i=new Ft(o,s,n,this.nextTensorId());return this.trackTensor(i,e),i}makeVariable(t,e=!0,n,o){n=n||this.nextVariableId().toString(),o!=null&&o!==t.dtype&&(t=t.cast(o));let s=new Ka(t,e,n,this.nextTensorId());if(this.state.registeredVariables[s.name]!=null)throw new Error(`Variable with name ${s.name} was already registered`);return this.state.registeredVariables[s.name]=s,this.incRef(s,this.backend),s}trackTensor(t,e){this.state.numTensors++,t.dtype===\"string\"&&this.state.numStringTensors++;let n=0;t.dtype!==\"complex64\"&&t.dtype!==\"string\"&&(n=t.size*Mg(t.dtype)),this.state.numBytes+=n,this.state.tensorInfo.has(t.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(t.dataId,{backend:e||this.backend,dtype:t.dtype,shape:t.shape,bytes:n})),t instanceof Ka||this.track(t)}incRef(t,e){this.trackTensor(t,e),this.backend.incRef(t.dataId)}removeDataId(t,e){this.state.tensorInfo.has(t)&&this.state.tensorInfo.get(t).backend===e&&(this.state.tensorInfo.delete(t),this.state.numDataBuffers--)}disposeTensor(t){if(!this.state.tensorInfo.has(t.dataId))return;let e=this.state.tensorInfo.get(t.dataId);if(this.state.numTensors--,t.dtype===\"string\"&&(this.state.numStringTensors--,this.state.numBytes-=e.bytes),t.dtype!==\"complex64\"&&t.dtype!==\"string\"){let n=t.size*Mg(t.dtype);this.state.numBytes-=n}e.backend.disposeData(t.dataId)&&this.removeDataId(t.dataId,e.backend)}disposeVariables(){for(let t in this.state.registeredVariables){let e=this.state.registeredVariables[t];this.disposeVariable(e)}}disposeVariable(t){this.disposeTensor(t),this.state.registeredVariables[t.name]!=null&&delete this.state.registeredVariables[t.name]}memory(){let t=this.backend.memory();return t.numTensors=this.state.numTensors,t.numDataBuffers=this.state.numDataBuffers,t.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(t.unreliable=!0,t.reasons==null&&(t.reasons=[]),t.reasons.push(\"Memory usage by string tensors is approximate (2 bytes per character)\")),t}async profile(t){this.state.profiling=!0;let e=this.state.numBytes,n=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await t(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map(o=>o.totalBytesSnapshot)),this.state.activeProfile.newBytes=this.state.numBytes-e,this.state.activeProfile.newTensors=this.state.numTensors-n;for(let o of this.state.activeProfile.kernels)o.kernelTimeMs=await o.kernelTimeMs,o.extraInfo=await o.extraInfo;return this.state.activeProfile}isTapeOn(){return this.state.gradientDepth>0&&this.state.kernelDepth===0}addTapeNode(t,e,n,o,s,i){let a={id:this.state.nextTapeNodeId++,kernelName:t,inputs:e,outputs:n,saved:s},u=u0(t);u!=null&&(o=u.gradFunc),o!=null&&(a.gradient=l=>(l=l.map((c,p)=>{if(c==null){let m=n[p],f=ip(m.size,m.dtype);return this.makeTensor(f,m.shape,m.dtype)}return c}),o(l.length>1?l:l[0],s,i))),this.state.activeTape.push(a)}keep(t){return t.kept=!0,t}startTape(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++}endTape(){this.state.gradientDepth--}startScope(t){let e={track:[],name:\"unnamed scope\",id:this.state.nextScopeId++};t&&(e.name=t),this.state.scopeStack.push(e),this.state.activeScope=e}endScope(t){let e=nh(t),n=new Set(e.map(s=>s.id));for(let s=0;s{!s.kept&&s.scopeId===o.id&&this.track(s)})}gradients(t,e,n,o=!1){if(E(e.length>0,()=>\"gradients() received an empty list of xs.\"),n!=null&&n.dtype!==\"float32\")throw new Error(`dy must have 'float32' dtype, but has '${n.dtype}'`);let s=this.scopedRun(()=>this.startTape(),()=>this.endTape(),()=>this.tidy(\"forward\",t));E(s instanceof Ft,()=>\"The result y returned by f() must be a tensor.\");let i=A1(this.state.activeTape,e,s);if(!o&&i.length===0&&e.length>0)throw new Error(\"Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.\");return this.tidy(\"backward\",()=>{let a={};a[s.id]=n==null?b4(s.shape):n,$1(a,i,l=>this.tidy(l),w4);let u=e.map(l=>a[l.id]);return this.state.gradientDepth===0&&(this.state.activeTape.forEach(l=>{for(let c of l.saved)c.dispose()}),this.state.activeTape=null),{value:s,grads:u}})}customGrad(t){return E(oi(t),()=>\"The f passed in customGrad(f) must be a function.\"),(...e)=>{E(e.every(a=>a instanceof Ft),()=>\"The args passed in customGrad(f)(x1, x2,...) must all be tensors\");let n,o={};e.forEach((a,u)=>{o[u]=a});let s=(a,u)=>(n=t(...e,u),E(n.value instanceof Ft,()=>\"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor\"),E(oi(n.gradFunc),()=>\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function.\"),n.value),i=(a,u)=>{let l=n.gradFunc(a,u),c=Array.isArray(l)?l:[l];E(c.length===e.length,()=>\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...).\"),E(c.every(m=>m instanceof Ft),()=>\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.\");let p={};return c.forEach((m,f)=>{p[f]=()=>m}),p};return this.runKernelFunc({forwardFunc:s,backwardsFunc:i,inputs:o})}}readSync(t){return this.state.tensorInfo.get(t).backend.readSync(t)}read(t){return this.state.tensorInfo.get(t).backend.read(t)}readToGPU(t,e){return this.state.tensorInfo.get(t).backend.readToGPU(t,e)}async time(t){let e=Gu(),n=await this.backend.time(t);return n.wallMs=Gu()-e,n}track(t){return this.state.activeScope!=null&&(t.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(t)),t}get registeredVariables(){return this.state.registeredVariables}reset(){this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new Ug;for(let t in this.registry)this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null}};ql.nextTensorId=0;ql.nextVariableId=0;function b4(r){let t=Wd(Jt(r),\"float32\");return k.makeTensor(t,r,\"float32\")}function v0(){let r=l0();if(r._tfengine==null){let t=new qd(r);r._tfengine=new ql(t)}return c1(r._tfengine.ENV),O1(()=>r._tfengine),r._tfengine}var k=v0();function w4(r,t){let e={a:r,b:t};return k.runKernel(Zn,e)}var Kl={};Wt(Kl,{isBrowser:()=>T0,isMobile:()=>S4,mockIsMobile:()=>I4});function C4(){return typeof navigator!=\"undefined\"&&navigator!=null}var N0;function I4(r){N0=r}function S4(r){if(N0!==void 0)return N0;if(r||C4()){if(r||(r=navigator),r.product===\"ReactNative\")return!0;let t=r.userAgent||r.vendor||(typeof window!=\"undefined\"?window.opera:\"\");if(!t){let e=r;return e.userAgentData&&e.userAgentData.mobile}return/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i.test(t)||/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\\-(n|u)|c55\\/|capi|ccwa|cdm\\-|cell|chtm|cldc|cmd\\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\\-s|devi|dica|dmob|do(c|p)o|ds(12|\\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\\-|_)|g1 u|g560|gene|gf\\-5|g\\-mo|go(\\.w|od)|gr(ad|un)|haie|hcit|hd\\-(m|p|t)|hei\\-|hi(pt|ta)|hp( i|ip)|hs\\-c|ht(c(\\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\\-(20|go|ma)|i230|iac( |\\-|\\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\\/)|klon|kpt |kwc\\-|kyo(c|k)|le(no|xi)|lg( g|\\/(k|l|u)|50|54|\\-[a-w])|libw|lynx|m1\\-w|m3ga|m50\\/|ma(te|ui|xo)|mc(01|21|ca)|m\\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\\-2|po(ck|rt|se)|prox|psio|pt\\-g|qa\\-a|qc(07|12|21|32|60|\\-[2-7]|i\\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\\-|oo|p\\-)|sdk\\/|se(c(\\-|0|1)|47|mc|nd|ri)|sgh\\-|shar|sie(\\-|m)|sk\\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\\-|v\\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\\-|tdg\\-|tel(i|m)|tim\\-|t\\-mo|to(pl|sh)|ts(70|m\\-|m3|m5)|tx\\-9|up(\\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\\-|your|zeto|zte\\-/i.test(t.substr(0,4))}return!1}function T0(){return typeof window!=\"undefined\"&&window.document!=null||typeof WorkerGlobalScope!=\"undefined\"}var On=z();On.registerFlag(\"DEBUG\",()=>!1,r=>{r&&console.warn(\"Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.\")});On.registerFlag(\"IS_BROWSER\",()=>T0());On.registerFlag(\"IS_NODE\",()=>typeof process!=\"undefined\"&&typeof process.versions!=\"undefined\"&&typeof process.versions.node!=\"undefined\");On.registerFlag(\"IS_CHROME\",()=>typeof navigator!=\"undefined\"&&navigator!=null&&navigator.userAgent!=null&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor));On.registerFlag(\"PROD\",()=>!1);On.registerFlag(\"TENSORLIKE_CHECK_SHAPE_CONSISTENCY\",()=>On.getBool(\"DEBUG\"));On.registerFlag(\"DEPRECATION_WARNINGS_ENABLED\",()=>!0);On.registerFlag(\"IS_TEST\",()=>!1);On.registerFlag(\"CHECK_COMPUTATION_FOR_ERRORS\",()=>!0);On.registerFlag(\"WRAP_TO_IMAGEBITMAP\",()=>!1);On.registerFlag(\"ENGINE_COMPILE_ONLY\",()=>!1);On.registerFlag(\"CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU\",()=>!1);On.registerFlag(\"USE_SETTIMEOUTCUSTOM\",()=>!1);function Br(r,t){let e=r;if(xr(r))return t===\"string\"?[]:[r.length];if(typeof r==\"object\"&&\"texture\"in r){let o=r.channels||\"RGBA\";return[r.height,r.width*o.length]}if(!Array.isArray(r))return[];let n=[];for(;Array.isArray(e)||xr(e)&&t!==\"string\";)n.push(e.length),e=e[0];return Array.isArray(r)&&z().getBool(\"TENSORLIKE_CHECK_SHAPE_CONSISTENCY\")&&B1(r,n,[]),n}function B1(r,t,e){if(e=e||[],!Array.isArray(r)&&!xr(r)){E(t.length===0,()=>`Element arr[${e.join(\"][\")}] is a primitive, but should be an array/TypedArray of ${t[0]} elements`);return}E(t.length>0,()=>`Element arr[${e.join(\"][\")}] should be a primitive, but is an array of ${r.length} elements`),E(r.length===t[0],()=>`Element arr[${e.join(\"][\")}] should have ${t[0]} elements, but has ${r.length} elements`);let n=t.slice(1);for(let o=0;o=0&&(o=n),z1(n,o,t,e),r==null||!xr(r)&&!Array.isArray(r)&&typeof r!=\"number\"&&typeof r!=\"boolean\"&&typeof r!=\"string\"){let u=r==null?\"null\":r.constructor.name;throw new Error(`Argument '${t}' passed to '${e}' must be a Tensor or TensorLike, but got '${u}'`)}let s=Br(r,o);!xr(r)&&!Array.isArray(r)&&(r=[r]);let a=o!==\"string\"?Gp(r,o):Bo(r,[],!0);return k.makeTensor(a,s,o)}function ja(r,t,e,n=\"numeric\"){if(!Array.isArray(r))throw new Error(`Argument ${t} passed to ${e} must be a \\`Tensor[]\\` or \\`TensorLike[]\\``);return r.map((s,i)=>I(s,`${t}[${i}]`,e,n))}var k0=\"__op\";function T(r){let t=Object.keys(r);if(t.length!==1)throw new Error(`Please provide an object with a single key (operation name) mapping to a function. Got an object with ${t.length} keys.`);let e=t[0],n=r[e];e.endsWith(\"_\")&&(e=e.substring(0,e.length-1)),e=e+k0;let o=(...s)=>{k.startScope(e);try{let i=n(...s);return Hd(i)&&console.error(\"Cannot return a Promise inside of tidy.\"),k.endScope(i),i}catch(i){throw k.endScope(null),i}};return Object.defineProperty(o,\"name\",{value:e,configurable:!0}),o}function v4(r,t){let e=I(r,\"real\",\"complex\"),n=I(t,\"imag\",\"complex\");$e(e.shape,n.shape,`real and imag shapes, ${e.shape} and ${n.shape}, must match in call to tf.complex().`);let o={real:e,imag:n};return k.runKernel(pp,o)}var wn=T({complex_:v4});function on(r,t,e,n){if(n==null&&(n=op(r)),n===\"complex64\")throw new Error(\"Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).\");if(typeof r==\"object\"&&\"texture\"in r){if(n!==\"float32\"&&n!==\"int32\")throw new Error(`Creating tensor from texture only supports 'float32'|'int32' dtype, while the dtype is ${n}.`);return r.channels=r.channels||\"RGBA\",k.backend.createTensorFromTexture(r,t||e,n)}if(!xr(r)&&!Array.isArray(r)&&typeof r!=\"number\"&&typeof r!=\"boolean\"&&typeof r!=\"string\")throw new Error(\"values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray\");if(t!=null){Ud(t);let o=Jt(t),s=Jt(e);E(o===s,()=>`Based on the provided shape, [${t}], the tensor should have ${o} values but has ${s}`);for(let i=0;i`Error creating a new Tensor. Inferred shape (${e}) does not match the provided shape (${t}). `)}}return!xr(r)&&!Array.isArray(r)&&(r=[r]),t=t||e,r=n!==\"string\"?Gp(r,n):Bo(r,[],!0),k.makeTensor(r,t,n)}function ur(r,t,e){let n=Br(r,e);return on(r,t,n,e)}var oh={float32:4,float16:2,int32:4,uint16:2,uint8:1,bool:1,complex64:8};var Hg=4;async function G1(r,t){let e=[],n=[],o=Array.isArray(r)?r.map(i=>i.name):Object.keys(r);for(let i=0;i{let m=await u.bytes(),f=m.reduce((g,x)=>g+x.length,0)+Hg*m.length,d=new Uint8Array(f),h=0;for(let g=0;g{if(t+=s.byteLength,e.push(s.byteLength===s.buffer.byteLength?s:new s.constructor(s)),!(s instanceof Float32Array||s instanceof Int32Array||s instanceof Uint8Array))throw new Error(`Unsupported TypedArray subtype: ${s.constructor.name}`)});let n=new Uint8Array(t),o=0;return e.forEach(s=>{n.set(new Uint8Array(s.buffer),o),o+=s.byteLength}),n.buffer}var E0=typeof Buffer!=\"undefined\"&&(typeof Blob==\"undefined\"||typeof atob==\"undefined\"||typeof btoa==\"undefined\");function V1(r){return E0?Buffer.byteLength(r):new Blob([r]).size}function W1(r){if(E0)return Buffer.from(r).toString(\"base64\");let t=new Uint8Array(r),e=\"\";for(let n=0,o=t.length;n{t+=o.byteLength});let e=new Uint8Array(t),n=0;return r.forEach(o=>{e.set(new Uint8Array(o),n),n+=o.byteLength}),e.buffer}function _0(r){let t=\"/\";for(r=r.trim();r.endsWith(t);)r=r.slice(0,r.length-1);let e=r.split(t);return e[e.length-1]}function Kg(r,t){let e={modelTopology:r.modelTopology,format:r.format,generatedBy:r.generatedBy,convertedBy:r.convertedBy,weightsManifest:t};return r.signature!=null&&(e.signature=r.signature),r.userDefinedMetadata!=null&&(e.userDefinedMetadata=r.userDefinedMetadata),r.modelInitializer!=null&&(e.modelInitializer=r.modelInitializer),r.initializerSignature!=null&&(e.initializerSignature=r.initializerSignature),r.trainingConfig!=null&&(e.trainingConfig=r.trainingConfig),e}function A0(r,t,e){let n={modelTopology:r.modelTopology,format:r.format,generatedBy:r.generatedBy,convertedBy:r.convertedBy};if(r.trainingConfig!=null&&(n.trainingConfig=r.trainingConfig),r.weightsManifest!=null){if(!t)throw new Error(\"modelJSON has weightsManifest but weightSpecs is null\");if(!e)throw new Error(\"modelJSON has weightsManifest but weightData is null\");n.weightSpecs=t,n.weightData=e}return r.signature!=null&&(n.signature=r.signature),r.userDefinedMetadata!=null&&(n.userDefinedMetadata=r.userDefinedMetadata),r.modelInitializer!=null&&(n.modelInitializer=r.modelInitializer),r.initializerSignature!=null&&(n.initializerSignature=r.initializerSignature),n}async function qp(r,t){let e,n;return r.weightsManifest!=null&&([e,n]=await t(r.weightsManifest)),A0(r,e,n)}function Ni(r){if(r.modelTopology instanceof ArrayBuffer)throw new Error(\"Expected JSON model topology, received ArrayBuffer.\");return{dateSaved:new Date,modelTopologyType:\"JSON\",modelTopologyBytes:r.modelTopology==null?0:V1(JSON.stringify(r.modelTopology)),weightSpecsBytes:r.weightSpecs==null?0:V1(JSON.stringify(r.weightSpecs)),weightDataBytes:r.weightData==null?0:r.weightData.byteLength}}function jg(r){let t=[];for(let e of r)t.push(...e.weights);return t}function T4(){let r=e=>{let n=e<<13,o=0;for(;(n&8388608)===0;)o-=8388608,n<<=1;return n&=-8388609,o+=947912704,n|o},t=new Uint32Array(2048);t[0]=0;for(let e=1;e<1024;e++)t[e]=r(e);for(let e=1024;e<2048;e++)t[e]=939524096+(e-1024<<13);return t}function k4(){let r=new Uint32Array(64);r[0]=0,r[31]=1199570944,r[32]=2147483648,r[63]=3347054592;for(let t=1;t<31;t++)r[t]=t<<23;for(let t=33;t<63;t++)r[t]=2147483648+(t-32<<23);return r}function E4(){let r=new Uint32Array(64);for(let t=0;t<64;t++)r[t]=1024;return r[0]=r[32]=0,r}function _4(){let r=T4(),t=k4(),e=E4();return n=>{let o=new ArrayBuffer(4*n.length),s=new Uint32Array(o);for(let i=0;i>10]+(a&1023)]+t[a>>10];s[i]=u}return new Float32Array(o)}}var Ce=class{constructor(){this.saveRouters=[],this.loadRouters=[]}static getInstance(){return Ce.instance==null&&(Ce.instance=new Ce),Ce.instance}static registerSaveRouter(t){Ce.getInstance().saveRouters.push(t)}static registerLoadRouter(t){Ce.getInstance().loadRouters.push(t)}static getSaveHandlers(t){return Ce.getHandlers(t,\"save\")}static getLoadHandlers(t,e){return Ce.getHandlers(t,\"load\",e)}static getHandlers(t,e,n){let o=[];return(e===\"load\"?Ce.getInstance().loadRouters:Ce.getInstance().saveRouters).forEach(i=>{let a=i(t,n);a!==null&&o.push(a)}),o}},H1=r=>Ce.registerSaveRouter(r),q1=r=>Ce.registerLoadRouter(r),K1=r=>Ce.getSaveHandlers(r),j1=(r,t)=>Ce.getLoadHandlers(r,t);var $0=\"tensorflowjs\",D0=1,Uu=\"models_store\",jl=\"model_info_store\";function X1(){if(!z().getBool(\"IS_BROWSER\"))throw new Error(\"Failed to obtain IndexedDB factory because the current environmentis not a web browser.\");let r=typeof window==\"undefined\"?self:window,t=r.indexedDB||r.mozIndexedDB||r.webkitIndexedDB||r.msIndexedDB||r.shimIndexedDB;if(t==null)throw new Error(\"The current browser does not appear to support IndexedDB.\");return t}function R0(r){let t=r.result;t.createObjectStore(Uu,{keyPath:\"modelPath\"}),t.createObjectStore(jl,{keyPath:\"modelPath\"})}var Ti=class{constructor(t){if(this.indexedDB=X1(),t==null||!t)throw new Error(\"For IndexedDB, modelPath must not be null, undefined or empty.\");this.modelPath=t}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserLocalStorage.save() does not support saving model topology in binary formats yet.\");return this.databaseAction(this.modelPath,t)}async load(){return this.databaseAction(this.modelPath)}databaseAction(t,e){return new Promise((n,o)=>{let s=this.indexedDB.open($0,D0);s.onupgradeneeded=()=>R0(s),s.onsuccess=()=>{let i=s.result;if(e==null){let a=i.transaction(Uu,\"readonly\"),l=a.objectStore(Uu).get(this.modelPath);l.onsuccess=()=>{if(l.result==null)return i.close(),o(new Error(`Cannot find model with path '${this.modelPath}' in IndexedDB.`));n(l.result.modelArtifacts)},l.onerror=c=>(i.close(),o(l.error)),a.oncomplete=()=>i.close()}else{let a=Ni(e),u=i.transaction(jl,\"readwrite\"),l=u.objectStore(jl),c=l.put({modelPath:this.modelPath,modelArtifactsInfo:a}),p;c.onsuccess=()=>{p=i.transaction(Uu,\"readwrite\");let f=p.objectStore(Uu).put({modelPath:this.modelPath,modelArtifacts:e,modelArtifactsInfo:a});f.onsuccess=()=>n({modelArtifactsInfo:a}),f.onerror=d=>{l=u.objectStore(jl);let h=l.delete(this.modelPath);h.onsuccess=()=>(i.close(),o(f.error)),h.onerror=g=>(i.close(),o(f.error))}},c.onerror=m=>(i.close(),o(c.error)),u.oncomplete=()=>{p==null?i.close():p.oncomplete=()=>i.close()}}},s.onerror=i=>o(s.error)})}};Ti.URL_SCHEME=\"indexeddb://\";var Y1=r=>z().getBool(\"IS_BROWSER\")&&!Array.isArray(r)&&r.startsWith(Ti.URL_SCHEME)?A4(r.slice(Ti.URL_SCHEME.length)):null;Ce.registerSaveRouter(Y1);Ce.registerLoadRouter(Y1);function A4(r){return new Ti(r)}function $4(r){return r.startsWith(Ti.URL_SCHEME)?r.slice(Ti.URL_SCHEME.length):r}var Xg=class{constructor(){this.indexedDB=X1()}async listModels(){return new Promise((t,e)=>{let n=this.indexedDB.open($0,D0);n.onupgradeneeded=()=>R0(n),n.onsuccess=()=>{let o=n.result,s=o.transaction(jl,\"readonly\"),a=s.objectStore(jl).getAll();a.onsuccess=()=>{let u={};for(let l of a.result)u[l.modelPath]=l.modelArtifactsInfo;t(u)},a.onerror=u=>(o.close(),e(a.error)),s.oncomplete=()=>o.close()},n.onerror=o=>e(n.error)})}async removeModel(t){return t=$4(t),new Promise((e,n)=>{let o=this.indexedDB.open($0,D0);o.onupgradeneeded=()=>R0(o),o.onsuccess=()=>{let s=o.result,i=s.transaction(jl,\"readwrite\"),a=i.objectStore(jl),u=a.get(t),l;u.onsuccess=()=>{if(u.result==null)return s.close(),n(new Error(`Cannot find model with path '${t}' in IndexedDB.`));{let c=a.delete(t),p=()=>{l=s.transaction(Uu,\"readwrite\");let f=l.objectStore(Uu).delete(t);f.onsuccess=()=>e(u.result.modelArtifactsInfo),f.onerror=d=>n(u.error)};c.onsuccess=p,c.onerror=m=>(p(),s.close(),n(u.error))}},u.onerror=c=>(s.close(),n(u.error)),i.oncomplete=()=>{l==null?s.close():l.oncomplete=()=>s.close()}},o.onerror=s=>n(o.error)})}};var Xa=\"/\",Kp=\"tensorflowjs_models\",Z1=\"info\",D4=\"model_topology\",R4=\"weight_specs\",F4=\"weight_data\",O4=\"model_metadata\";function J1(r){return{info:[Kp,r,Z1].join(Xa),topology:[Kp,r,D4].join(Xa),weightSpecs:[Kp,r,R4].join(Xa),weightData:[Kp,r,F4].join(Xa),modelMetadata:[Kp,r,O4].join(Xa)}}function Q1(r){for(let t of Object.values(r))window.localStorage.removeItem(t)}function P4(r){let t=r.split(Xa);if(t.length<3)throw new Error(`Invalid key format: ${r}`);return t.slice(1,t.length-1).join(Xa)}function L4(r){return r.startsWith(ki.URL_SCHEME)?r.slice(ki.URL_SCHEME.length):r}var ki=class{constructor(t){if(!z().getBool(\"IS_BROWSER\")||typeof window==\"undefined\"||typeof window.localStorage==\"undefined\")throw new Error(\"The current environment does not support local storage.\");if(this.LS=window.localStorage,t==null||!t)throw new Error(\"For local storage, modelPath must not be null, undefined or empty.\");this.modelPath=t,this.keys=J1(this.modelPath)}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserLocalStorage.save() does not support saving model topology in binary formats yet.\");{let e=JSON.stringify(t.modelTopology),n=JSON.stringify(t.weightSpecs),o=Ni(t);try{this.LS.setItem(this.keys.info,JSON.stringify(o)),this.LS.setItem(this.keys.topology,e),this.LS.setItem(this.keys.weightSpecs,n),this.LS.setItem(this.keys.weightData,W1(t.weightData));let s={format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,signature:t.signature!=null?t.signature:void 0,userDefinedMetadata:t.userDefinedMetadata!=null?t.userDefinedMetadata:void 0,modelInitializer:t.modelInitializer!=null?t.modelInitializer:void 0,initializerSignature:t.initializerSignature!=null?t.initializerSignature:void 0,trainingConfig:t.trainingConfig!=null?t.trainingConfig:void 0};return this.LS.setItem(this.keys.modelMetadata,JSON.stringify(s)),{modelArtifactsInfo:o}}catch(s){throw Q1(this.keys),new Error(`Failed to save model '${this.modelPath}' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=${o.modelTopologyBytes}, weightSpecsBytes=${o.weightSpecsBytes}, weightDataBytes=${o.weightDataBytes}.`)}}}async load(){let t=JSON.parse(this.LS.getItem(this.keys.info));if(t==null)throw new Error(`In local storage, there is no model with name '${this.modelPath}'`);if(t.modelTopologyType!==\"JSON\")throw new Error(\"BrowserLocalStorage does not support loading non-JSON model topology yet.\");let e={},n=JSON.parse(this.LS.getItem(this.keys.topology));if(n==null)throw new Error(`In local storage, the topology of model '${this.modelPath}' is missing.`);e.modelTopology=n;let o=JSON.parse(this.LS.getItem(this.keys.weightSpecs));if(o==null)throw new Error(`In local storage, the weight specs of model '${this.modelPath}' are missing.`);e.weightSpecs=o;let s=this.LS.getItem(this.keys.modelMetadata);if(s!=null){let a=JSON.parse(s);e.format=a.format,e.generatedBy=a.generatedBy,e.convertedBy=a.convertedBy,a.signature!=null&&(e.signature=a.signature),a.userDefinedMetadata!=null&&(e.userDefinedMetadata=a.userDefinedMetadata),a.modelInitializer!=null&&(e.modelInitializer=a.modelInitializer),a.initializerSignature!=null&&(e.initializerSignature=a.initializerSignature),a.trainingConfig!=null&&(e.trainingConfig=a.trainingConfig)}let i=this.LS.getItem(this.keys.weightData);if(i==null)throw new Error(`In local storage, the binary weight values of model '${this.modelPath}' are missing.`);return e.weightData=U1(i),e}};ki.URL_SCHEME=\"localstorage://\";var tE=r=>z().getBool(\"IS_BROWSER\")&&!Array.isArray(r)&&r.startsWith(ki.URL_SCHEME)?M4(r.slice(ki.URL_SCHEME.length)):null;Ce.registerSaveRouter(tE);Ce.registerLoadRouter(tE);function M4(r){return new ki(r)}var Yg=class{constructor(){E(z().getBool(\"IS_BROWSER\"),()=>\"Current environment is not a web browser\"),E(typeof window==\"undefined\"||typeof window.localStorage!=\"undefined\",()=>\"Current browser does not appear to support localStorage\"),this.LS=window.localStorage}async listModels(){let t={},e=Kp+Xa,n=Xa+Z1;for(let o=0;o\"scheme must not be undefined or null.\"),t.endsWith(jp)&&(t=t.slice(0,t.indexOf(jp))),E(t.length>0,()=>\"scheme must not be an empty string.\");let n=Er.getInstance();E(n.managers[t]==null,()=>`A model store manager is already registered for scheme '${t}'.`),n.managers[t]=e}static getManager(t){let e=Er.getInstance().managers[t];if(e==null)throw new Error(`Cannot find model manager for scheme '${t}'`);return e}static getSchemes(){return Object.keys(Er.getInstance().managers)}};function Zg(r){if(r.indexOf(jp)===-1)throw new Error(`The url string provided does not contain a scheme. Supported schemes are: ${Er.getSchemes().join(\",\")}`);return{scheme:r.split(jp)[0],path:r.split(jp)[1]}}async function eE(r,t,e=!1){E(r!==t,()=>`Old path and new path are the same: '${r}'`);let n=Ce.getLoadHandlers(r);E(n.length>0,()=>`Copying failed because no load handler is found for source URL ${r}.`),E(n.length<2,()=>`Copying failed because more than one (${n.length}) load handlers for source URL ${r}.`);let o=n[0],s=Ce.getSaveHandlers(t);E(s.length>0,()=>`Copying failed because no save handler is found for destination URL ${t}.`),E(s.length<2,()=>`Copying failed because more than one (${n.length}) save handlers for destination URL ${t}.`);let i=s[0],a=Zg(r).scheme,u=Zg(r).path,l=a===Zg(r).scheme,c=await o.load();e&&l&&await Er.getManager(a).removeModel(u);let p=await i.save(c);return e&&!l&&await Er.getManager(a).removeModel(u),p.modelArtifactsInfo}async function rE(){let r=Er.getSchemes(),t={};for(let e of r){let n=await Er.getManager(e).listModels();for(let o in n){let s=e+jp+o;t[s]=n[o]}}return t}async function nE(r){let t=Zg(r);return Er.getManager(t.scheme).removeModel(t.path)}async function oE(r,t){return eE(r,t,!1)}async function sE(r,t){return eE(r,t,!0)}var F0=class{constructor(){this.messageName=\"setTimeoutCustom\",this.functionRefs=[],this.handledMessageCount=0,this.hasEventListener=!1}fetch(t,e){return fetch(t,e)}now(){return performance.now()}encode(t,e){if(e!==\"utf-8\"&&e!==\"utf8\")throw new Error(`Browser's encoder only supports utf-8, but got ${e}`);return this.textEncoder==null&&(this.textEncoder=new TextEncoder),this.textEncoder.encode(t)}decode(t,e){return new TextDecoder(e).decode(t)}setTimeoutCustom(t,e){if(typeof window==\"undefined\"||!z().getBool(\"USE_SETTIMEOUTCUSTOM\")){setTimeout(t,e);return}this.functionRefs.push(t),setTimeout(()=>{window.postMessage({name:this.messageName,index:this.functionRefs.length-1},\"*\")},e),this.hasEventListener||(this.hasEventListener=!0,window.addEventListener(\"message\",n=>{if(n.source===window&&n.data.name===this.messageName){n.stopPropagation();let o=this.functionRefs[n.data.index];o(),this.handledMessageCount++,this.handledMessageCount===this.functionRefs.length&&(this.functionRefs=[],this.handledMessageCount=0)}},!0))}};if(z().get(\"IS_BROWSER\")){z().setPlatform(\"browser\",new F0);try{Er.registerManager(ki.URL_SCHEME,new Yg)}catch(r){}try{Er.registerManager(Ti.URL_SCHEME,new Xg)}catch(r){}}var z4={importFetch:()=>iE()},O0;var P0=class{constructor(){this.util=aE(),this.textEncoder=new this.util.TextEncoder}fetch(t,e){return z().global.fetch!=null?z().global.fetch(t,e):(O0==null&&(O0=z4.importFetch()),O0(t,e))}now(){let t=process.hrtime();return t[0]*1e3+t[1]/1e6}encode(t,e){if(e!==\"utf-8\"&&e!==\"utf8\")throw new Error(`Node built-in encoder only supports utf-8, but got ${e}`);return this.textEncoder.encode(t)}decode(t,e){return t.length===0?\"\":new this.util.TextDecoder(e).decode(t)}};z().get(\"IS_NODE\")&&!z().get(\"IS_BROWSER\")&&z().setPlatform(\"node\",new P0);function wt(r,t=\"float32\",e){return t=t||\"float32\",Ud(r),new pe(r,t,e)}function B4(r,t){let e=I(r,\"x\",\"cast\");if(!o0(t))throw new Error(`Failed to cast to unknown dtype ${t}`);if(t===\"string\"&&e.dtype!==\"string\"||t!==\"string\"&&e.dtype===\"string\")throw new Error(\"Only strings can be casted to strings\");let n={x:e},o={dtype:t};return k.runKernel(lo,n,o)}var J=T({cast_:B4});function V4(r){let e={x:I(r,\"x\",\"clone\",\"string_or_numeric\")};return k.runKernel(co,e)}var sn=T({clone_:V4});function Jg(r,t=!1){console.log(r.toString(t))}v0();var G4={buffer:wt,cast:J,clone:sn,print:Jg};P1(G4);var _r={};Wt(_r,{browserFiles:()=>uE,browserHTTPRequest:()=>mE,concatenateArrayBuffers:()=>Hp,copyModel:()=>oE,decodeWeights:()=>qg,encodeWeights:()=>G1,fromMemory:()=>fE,fromMemorySync:()=>G0,getLoadHandlers:()=>j1,getModelArtifactsForJSON:()=>qp,getModelArtifactsForJSONSync:()=>A0,getModelArtifactsInfoForJSON:()=>Ni,getSaveHandlers:()=>K1,getWeightSpecs:()=>jg,http:()=>tx,isHTTPScheme:()=>Qg,listModels:()=>rE,loadWeights:()=>cE,moveModel:()=>sE,registerLoadRouter:()=>q1,registerSaveRouter:()=>H1,removeModel:()=>nE,weightsLoaderFactory:()=>B0,withSaveHandler:()=>dE,withSaveHandlerSync:()=>hE});var W4=\"model\",U4=\".json\",H4=\".weights.bin\";function lE(r){return new Promise(t=>setTimeout(t)).then(r)}var Ya=class{constructor(t){if(!z().getBool(\"IS_BROWSER\"))throw new Error(\"browserDownloads() cannot proceed because the current environment is not a browser.\");t.startsWith(Ya.URL_SCHEME)&&(t=t.slice(Ya.URL_SCHEME.length)),(t==null||t.length===0)&&(t=W4),this.modelJsonFileName=t+U4,this.weightDataFileName=t+H4}async save(t){if(typeof document==\"undefined\")throw new Error(\"Browser downloads are not supported in this environment since `document` is not present\");let e=window.URL.createObjectURL(new Blob([t.weightData],{type:\"application/octet-stream\"}));if(t.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserDownloads.save() does not support saving model topology in binary formats yet.\");{let n=[{paths:[\"./\"+this.weightDataFileName],weights:t.weightSpecs}],o=Kg(t,n),s=window.URL.createObjectURL(new Blob([JSON.stringify(o)],{type:\"application/json\"})),i=this.modelJsonAnchor==null?document.createElement(\"a\"):this.modelJsonAnchor;if(i.download=this.modelJsonFileName,i.href=s,await lE(()=>i.dispatchEvent(new MouseEvent(\"click\"))),t.weightData!=null){let a=this.weightDataAnchor==null?document.createElement(\"a\"):this.weightDataAnchor;a.download=this.weightDataFileName,a.href=e,await lE(()=>a.dispatchEvent(new MouseEvent(\"click\")))}return{modelArtifactsInfo:Ni(t)}}}};Ya.URL_SCHEME=\"downloads://\";var L0=class{constructor(t){if(t==null||t.length<1)throw new Error(`When calling browserFiles, at least 1 file is required, but received ${t}`);this.jsonFile=t[0],this.weightsFiles=t.slice(1)}async load(){return new Promise((t,e)=>{let n=new FileReader;n.onload=o=>{let s=JSON.parse(o.target.result),i=s.modelTopology;if(i==null){e(new Error(`modelTopology field is missing from file ${this.jsonFile.name}`));return}if(s.weightsManifest==null){e(new Error(`weightManifest field is missing from file ${this.jsonFile.name}`));return}if(this.weightsFiles.length===0){t({modelTopology:i});return}let u=qp(s,l=>this.loadWeights(l));t(u)},n.onerror=o=>e(`Failed to read model topology and weights manifest JSON from file '${this.jsonFile.name}'. BrowserFiles supports loading Keras-style tf.Model artifacts only.`),n.readAsText(this.jsonFile)})}loadWeights(t){let e=[],n=[];for(let i of t)e.push(...i.weights),n.push(...i.paths);let o=this.checkManifestAndWeightFiles(t),s=n.map(i=>this.loadWeightsFile(i,o[i]));return Promise.all(s).then(i=>[e,Hp(i)])}loadWeightsFile(t,e){return new Promise((n,o)=>{let s=new FileReader;s.onload=i=>{let a=i.target.result;n(a)},s.onerror=i=>o(`Failed to weights data from file of path '${t}'.`),s.readAsArrayBuffer(e)})}checkManifestAndWeightFiles(t){let e=[],n=this.weightsFiles.map(s=>_0(s.name)),o={};for(let s of t)s.paths.forEach(i=>{let a=_0(i);if(e.indexOf(a)!==-1)throw new Error(`Duplicate file basename found in weights manifest: '${a}'`);if(e.push(a),n.indexOf(a)===-1)throw new Error(`Weight file with basename '${a}' is not provided.`);o[i]=this.weightsFiles[n.indexOf(a)]});if(e.length!==this.weightsFiles.length)throw new Error(`Mismatch in the number of files in weights manifest (${e.length}) and the number of weight files provided (${this.weightsFiles.length}).`);return o}},q4=r=>z().getBool(\"IS_BROWSER\")&&!Array.isArray(r)&&r.startsWith(Ya.URL_SCHEME)?K4(r.slice(Ya.URL_SCHEME.length)):null;Ce.registerSaveRouter(q4);function K4(r=\"model\"){return new Ya(r)}function uE(r){return new L0(r)}function M0(r,t,e,n){i(r),e=e==null?0:e,n=n==null?1:n,a(e,n);let o=0,s=u=>(u.then(l=>{let c=e+ ++o/r.length*(n-e);return t(c),l}),u);function i(u){E(u!=null&&Array.isArray(u)&&u.length>0,()=>\"promises must be a none empty array\")}function a(u,l){E(u>=0&&u<=1,()=>`Progress fraction must be in range [0, 1], but got startFraction ${u}`),E(l>=0&&l<=1,()=>`Progress fraction must be in range [0, 1], but got endFraction ${l}`),E(l>=u,()=>`startFraction must be no more than endFraction, but got startFraction ${u} and endFraction ${l}`)}return Promise.all(r.map(s))}async function z0(r,t){t==null&&(t={});let e=t.fetchFunc==null?z().platform.fetch:t.fetchFunc,n=r.map(p=>e(p,t.requestInit,{isBinary:!0})),o=0,s=.5,a=(t.onProgress==null?await Promise.all(n):await M0(n,t.onProgress,o,s)).map(p=>p.arrayBuffer()),u=.5,l=1;return t.onProgress==null?await Promise.all(a):await M0(a,t.onProgress,u,l)}async function cE(r,t=\"\",e,n){return B0(i=>z0(i,{requestInit:n}))(r,t,e)}function B0(r){return async(t,e=\"\",n)=>{let o=t.map(()=>!1),s={},i=n!=null?n.map(()=>!1):[],a=[];if(t.forEach((f,d)=>{let h=0;f.weights.forEach(g=>{let x=\"quantization\"in g?g.quantization.dtype:g.dtype,b=oh[x]*Jt(g.shape),w=()=>{o[d]=!0,s[d]==null&&(s[d]=[]),s[d].push({manifestEntry:g,groupOffset:h,sizeBytes:b})};n!=null?n.forEach((C,N)=>{C===g.name&&(w(),i[N]=!0)}):w(),a.push(g.name),h+=b})}),!i.every(f=>f)){let f=n.filter((d,h)=>!i[h]);throw new Error(`Could not find weights in manifest with names: ${f.join(\", \")}. \nManifest JSON has weights with names: ${a.join(\", \")}.`)}let u=o.reduce((f,d,h)=>(d&&f.push(h),f),[]),l=[];u.forEach(f=>{t[f].paths.forEach(d=>{let h=e+(e.endsWith(\"/\")?\"\":\"/\")+d;l.push(h)})});let c=await r(l),p={},m=0;return u.forEach(f=>{let d=t[f].paths.length,h=0;for(let C=0;C{let N=g.slice(C.groupOffset,C.groupOffset+C.sizeBytes),_=qg(N,[C.manifestEntry]);for(let A in _)p[A]=_[A]}),m+=d}),p}}var j4=\"application/octet-stream\",X4=\"application/json\",sh=class{constructor(t,e){if(this.DEFAULT_METHOD=\"POST\",e==null&&(e={}),this.weightPathPrefix=e.weightPathPrefix,this.onProgress=e.onProgress,this.weightUrlConverter=e.weightUrlConverter,e.fetchFunc!=null?(E(typeof e.fetchFunc==\"function\",()=>\"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)\"),this.fetch=e.fetchFunc):this.fetch=z().platform.fetch,E(t!=null&&t.length>0,()=>\"URL path for http must not be null, undefined or empty.\"),Array.isArray(t)&&E(t.length===2,()=>`URL paths for http must have a length of 2, (actual length is ${t.length}).`),this.path=t,e.requestInit!=null&&e.requestInit.body!=null)throw new Error(\"requestInit is expected to have no pre-existing body, but has one.\");this.requestInit=e.requestInit||{}}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.\");let e=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);e.body=new FormData;let n=[{paths:[\"./model.weights.bin\"],weights:t.weightSpecs}],o=Kg(t,n);e.body.append(\"model.json\",new Blob([JSON.stringify(o)],{type:X4}),\"model.json\"),t.weightData!=null&&e.body.append(\"model.weights.bin\",new Blob([t.weightData],{type:j4}),\"model.weights.bin\");let s=await this.fetch(this.path,e);if(s.ok)return{modelArtifactsInfo:Ni(t),responses:[s]};throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${s.status}.`)}async load(){let t=await this.fetch(this.path,this.requestInit);if(!t.ok)throw new Error(`Request to ${this.path} failed with status code ${t.status}. Please verify this URL points to the model JSON of the model to load.`);let e;try{e=await t.json()}catch(s){let i=`Failed to parse model JSON of response from ${this.path}.`;throw this.path.endsWith(\".pb\")?i+=\" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.\":i+=\" Please make sure the server is serving valid JSON for this request.\",new Error(i)}let n=e.modelTopology,o=e.weightsManifest;if(n==null&&o==null)throw new Error(`The JSON from HTTP path ${this.path} contains neither model topology or manifest for weights.`);return qp(e,s=>this.loadWeights(s))}async loadWeights(t){let e=Array.isArray(this.path)?this.path[1]:this.path,[n,o]=Y4(e),s=this.weightPathPrefix||n,i=jg(t),a=[],u=[];for(let c of t)for(let p of c.paths)this.weightUrlConverter!=null?u.push(this.weightUrlConverter(p)):a.push(s+p+o);this.weightUrlConverter&&a.push(...await Promise.all(u));let l=await z0(a,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress});return[i,Hp(l)]}};sh.URL_SCHEME_REGEX=/^https?:\\/\\//;function Y4(r){let t=r.lastIndexOf(\"/\"),e=r.lastIndexOf(\"?\"),n=r.substring(0,t),o=e>t?r.substring(e):\"\";return[n+\"/\",o]}function Qg(r){return r.match(sh.URL_SCHEME_REGEX)!=null}var pE=(r,t)=>{if(typeof fetch==\"undefined\"&&(t==null||t.fetchFunc==null))return null;{let e=!0;if(Array.isArray(r)?e=r.every(n=>Qg(n)):e=Qg(r),e)return tx(r,t)}return null};Ce.registerSaveRouter(pE);Ce.registerLoadRouter(pE);function tx(r,t){return new sh(r,t)}function mE(r,t){return tx(r,t)}var ih=class{constructor(t){this.modelArtifacts=t}load(){return this.modelArtifacts}},ex=class{constructor(t){this.saveHandler=t}save(t){return this.saveHandler(t)}},V0=class{constructor(t){t.load&&(this.load=()=>Promise.resolve(t.load())),t.save&&(this.save=e=>Promise.resolve(t.save(e)))}};function fE(r,t,e,n){let o=arguments;return new V0(G0(...o))}function G0(r,t,e,n){return arguments.length===1?r.modelTopology!=null||r.weightSpecs!=null?new ih(r):(console.warn(\"Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release.\"),new ih({modelTopology:r})):(console.warn(\"Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release.\"),new ih({modelTopology:r,weightSpecs:t,weightData:e,trainingConfig:n}))}function dE(r){return new ex(r)}function hE(r){return new ex(r)}var yE={};Wt(yE,{confusionMatrix:()=>xE});function Z4(r,t,e=!1,n=!1){let o=I(r,\"a\",\"matMul\"),s=I(t,\"b\",\"matMul\");[o,s]=Ut(o,s);let i={a:o,b:s},a={transposeA:e,transposeB:n};return k.runKernel(Ho,i,a)}var Lt=T({matMul_:Z4});function J4(r,t,e=1,n=0,o=\"int32\"){if(t<2)throw new Error(`Error in oneHot: depth must be >=2, but it is ${t}`);let i={indices:I(r,\"indices\",\"oneHot\",\"int32\")},a={dtype:o,depth:t,onValue:e,offValue:n};return k.runKernel(gs,i,a)}var Ei=T({oneHot_:J4});function xpt(){z().set(\"PROD\",!0)}function ypt(){z().set(\"DEBUG\",!0)}function bpt(){z().set(\"DEPRECATION_WARNINGS_ENABLED\",!1),console.warn(\"TensorFlow.js deprecation warnings have been disabled.\")}function W0(r){z().getBool(\"DEPRECATION_WARNINGS_ENABLED\")&&console.warn(r+\" You can disable deprecation warnings with tf.disableDeprecationWarnings().\")}L1(W0);function wpt(){k.disposeVariables()}function Pn(){return k}function ah(){return k.memory()}function Cpt(r){return k.profile(r)}function B(r,t){return k.tidy(r,t)}function vt(r){nh(r).forEach(e=>e.dispose())}function De(r){return k.keep(r)}function Ipt(r){return k.time(r)}function Q4(r){return k.setBackend(r)}function Spt(){return k.ready()}function vpt(){return k.backendName}function Npt(r){k.removeBackend(r)}function Tpt(r){return k.findBackend(r)}function kpt(r){return k.findBackendFactory(r)}function Xp(r,t,e=1){return k.registerBackend(r,t,e)}function gE(){return k.backend}function Ept(r,t){z().setPlatform(r,t)}function tH(r){let e={input:I(r,\"input\",\"imag\")};return k.runKernel(Sp,e)}var Xl=T({imag_:tH});function eH(r){let e={x:I(r,\"x\",\"neg\")};return k.runKernel(pi,e)}var Ht=T({neg_:eH});function rH(r){let e={input:I(r,\"input\",\"real\")};return k.runKernel(Rp,e)}var Za=T({real_:rH});function nH(r,t,e){let n=I(r,\"x\",\"transpose\");if(t==null&&(t=n.shape.map((i,a)=>a).reverse()),E(n.rank===t.length,()=>`Error in transpose: rank of input ${n.rank} must match length of perm ${t}.`),t.forEach(i=>{E(i>=0&&i`All entries in 'perm' must be between 0 and ${n.rank-1} but got ${t}`)}),n.rank<=1)return n.clone();let o={x:n},s={perm:t};return n.dtype===\"complex64\"?B(()=>{let i=Za(n),a=Xl(n);return i=k.runKernel(Qn,{x:i},s),a=k.runKernel(Qn,{x:a},s),e&&(a=Ht(a)),wn(i,a)}):k.runKernel(Qn,o,s)}var Ot=T({transpose_:nH});function oH(r,t,e){let n=I(r,\"labels\",\"confusionMatrix\"),o=I(t,\"predictions\",\"confusionMatrix\");E(e==null||e>0&&Number.isInteger(e),()=>`If provided, numClasses must be a positive integer, but got ${e}`),E(n.rank===1,()=>`Expected the rank of labels to be 1, but got ${n.rank}`),E(o.rank===1,()=>`Expected the rank of predictions to be 1, but got ${o.rank}`),E(n.shape[0]===o.shape[0],()=>`Mismatch in the number of examples: ${n.shape[0]} vs. ${o.shape[0]}. Labels and predictions should have the same number of elements.`),E(e>0&&Number.isInteger(e),()=>`numClasses is required to be a positive integer, but got ${e}`);let s=Ei(J(n,\"int32\"),e),i=Ei(J(o,\"int32\"),e),a=Ot(s),u=Lt(a,i);return J(u,\"int32\")}var xE=T({confusionMatrix_:oH});var Vr={};Wt(Vr,{assertAndGetBroadcastShape:()=>Pt,getBroadcastDims:()=>bE,getReductionAxes:()=>ge});function bE(r,t){let e=r.length,n=[];for(let o=0;o1&&i===1&&n.unshift(s)}return n}function ge(r,t){let e=[];for(let n=0;n1)&&e.unshift(s)}return e}function Pt(r,t){let e=[],n=Math.max(r.length,t.length);for(let o=0;opH,fromPixelsAsync:()=>uH,toPixels:()=>cH});function rx(r,t,e){if(Yn(r),t!=null&&t.length!==3)throw new Error(\"tensor3d() requires shape to have three numbers\");let n=Br(r,e);if(n.length!==3&&n.length!==1)throw new Error(\"tensor3d() requires values to be number[][][] or flat/TypedArray\");if(n.length===1&&t==null)throw new Error(\"tensor3d() requires shape to be provided when `values` are a flat array\");return on(r,t,n,e)}var Hu;function wE(r,t=3){if(t>4)throw new Error(\"Cannot construct Tensor with more than 4 channels from pixels.\");if(r==null)throw new Error(\"pixels passed to tf.browser.fromPixels() can not be null\");let e=!1,n=!1,o=!1,s=!1,i=!1,a=!1;if(r.data instanceof Uint8Array)e=!0;else if(typeof ImageData!=\"undefined\"&&r instanceof ImageData)n=!0;else if(typeof HTMLVideoElement!=\"undefined\"&&r instanceof HTMLVideoElement)o=!0;else if(typeof HTMLImageElement!=\"undefined\"&&r instanceof HTMLImageElement)s=!0;else if(r.getContext!=null)i=!0;else if(typeof ImageBitmap!=\"undefined\"&&r instanceof ImageBitmap)a=!0;else throw new Error(`pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was ${r.constructor.name}`);if(Jd(Yd,k.backendName)!=null){let d={pixels:r},h={numChannels:t};return k.runKernel(Yd,d,h)}let[l,c]=o?[r.videoWidth,r.videoHeight]:[r.width,r.height],p;if(i)p=r.getContext(\"2d\").getImageData(0,0,l,c).data;else if(n||e)p=r.data;else if(s||o||a){if(Hu==null)if(typeof document==\"undefined\")if(typeof OffscreenCanvas!=\"undefined\"&&typeof OffscreenCanvasRenderingContext2D!=\"undefined\")Hu=new OffscreenCanvas(1,1).getContext(\"2d\");else throw new Error(\"Cannot parse input in current context. Reason: OffscreenCanvas Context2D rendering is not supported.\");else Hu=document.createElement(\"canvas\").getContext(\"2d\",{willReadFrequently:!0});Hu.canvas.width=l,Hu.canvas.height=c,Hu.drawImage(r,0,0,l,c),p=Hu.getImageData(0,0,l,c).data}let m;if(t===4)m=new Int32Array(p);else{let d=l*c;m=new Int32Array(d*t);for(let h=0;h4||s===2)throw new Error(`toPixels only supports depth of size 1, 3 or 4 but got ${s}`);if(e.dtype!==\"float32\"&&e.dtype!==\"int32\")throw new Error(`Unsupported type for toPixels: ${e.dtype}. Please use float32 or int32 tensors.`);let i=await e.data(),a=e.dtype===\"float32\"?255:1,u=new Uint8ClampedArray(o*n*4);for(let l=0;l1)throw new Error(`Tensor values for a float32 Tensor must be in the range [0 - 1] but encountered ${f}.`)}else if(e.dtype===\"int32\"&&(f<0||f>255))throw new Error(`Tensor values for a int32 Tensor must be in the range [0 - 255] but encountered ${f}.`);s===1?(c[0]=f*a,c[1]=f*a,c[2]=f*a):c[m]=f*a}let p=l*4;u[p+0]=Math.round(c[0]),u[p+1]=Math.round(c[1]),u[p+2]=Math.round(c[2]),u[p+3]=Math.round(c[3])}if(t!=null){t.width=o,t.height=n;let l=t.getContext(\"2d\"),c=new ImageData(u,o,n);l.putImageData(c,0,0)}return e!==r&&e.dispose(),u}var pH=T({fromPixels_:wE});var ox={};Wt(ox,{prepareAndValidate:()=>CE});function CE(r,t){let e=r.shape.length,n=t.shape.length;if(e<1)throw new Error(`tf.gatherND() expects the input to be rank 1 or higher, but the rank was ${e}.`);if(n<1)throw new Error(`tf.gatherND() expects the indices to be rank 1 or higher, but the rank was ${n}.`);if(t.dtype!==\"int32\")throw new Error(`tf.gatherND() expects the indices to be int32 type, but the dtype was ${t.dtype}.`);if(t.shape[n-1]>e)throw new Error(`index innermost dimension length must be <= tensor rank; saw: ${t.shape[n-1]} vs. ${e}`);if(Jt(r.shape)===0)throw new Error(`Requested more than 0 entries, but input is empty. Input shape: ${r.shape}.`);let o=t.shape,s=o[o.length-1],i=1;for(let p=0;pp/l),1].slice(0,s);return[u,i,l,c]}var lh={};Wt(lh,{calculateShapes:()=>IE,validateInput:()=>sx,validateUpdateShape:()=>U0});function U0(r,t,e){let n=t.rank>1?t.shape[t.rank-1]:1,o=t.rank>1?t.rank-1:1,s=`Must have updates.shape = indices.shape[:batchDim] + shape[sliceDim:], got updates.shape: ${e.shape}, indices.shape: ${t.shape}, shape: ${r}, sliceDim: ${n}, and batchDim: ${o}.`;if(e.rank1?t.shape[n-1]:1,s=e.length,i=1;for(let p=o;pfH,computeFlatOffset:()=>yH,computeOutShape:()=>hH,getNormalizedAxes:()=>gH,isSliceContinous:()=>xH,maskToAxes:()=>dH,parseSliceParams:()=>q0,sliceInfo:()=>bH,startForAxis:()=>AE,startIndicesWithElidedDims:()=>kE,stopForAxis:()=>$E,stopIndicesWithElidedDims:()=>EE,stridesForAxis:()=>_E,stridesWithElidedDims:()=>vE});var H0=-2,mH=-1;function fH(r,t,e){let n=r.shape.length;E(n===t.length,()=>`Error in slice${n}D: Length of begin ${t} must match the rank of the array (${n}).`),E(n===e.length,()=>`Error in slice${n}D: Length of size ${e} must match the rank of the array (${n}).`);for(let o=0;o`Error in slice${n}D: begin[${o}] + size[${o}] (${t[o]+e[o]}) would overflow input.shape[${o}] (${r.shape[o]})`)}function dH(r){let t=[],e=0;for(;r>0;)r&1&&t.push(e),r/=2,e++;return t}function hH(r,t,e){let n=[];for(let o=0;o0){let f=t[0],d=e+1;c=kE(i,f,d,n,r),p=EE(a,f,d,o,r),m=vE(s,f,d,r)}else for(let f=0;f-1)s[a]=0;else{let u=NE(t,e,a),l=n[u];r&1<-1)s[a]=Number.MAX_SAFE_INTEGER;else{let u=NE(t,e,a),l=n[u];r&1<0?i=Number.MIN_SAFE_INTEGER:i=Number.MAX_SAFE_INTEGER);let u=n[o];return i<0&&(i+=u),i=np(0,i,u-1),i}function $E(r,t,e,n,o,s){let i=t[o],a=e[o]||1;(r&1<0?i=Number.MAX_SAFE_INTEGER:i=Number.MIN_SAFE_INTEGER);let u=n[o];return i<0&&(i+=u),a>0?i=np(0,i,u):i=np(-1,i,u-1),i}function xH(r,t,e){let n=e.length;for(let o=0;o1){n=o;break}for(let o=n+1;o0||e[o]!==r[o])return!1;return!0}function yH(r,t){let e=r.length>0?r[r.length-1]:1;for(let n=0;n{E(i!==-1,()=>\"slice() does not support negative begin indexing.\")});let s;return e==null?s=new Array(o).fill(-1):typeof e==\"number\"?s=[e,...new Array(o-1).fill(-1)]:e.lengthi>=0?i:(E(i===-1,()=>`Negative size values should be exactly -1 but got ${i} for the slice() size at index ${a}.`),r.shape[a]-n[a])),[n,s]}function bH(r,t,e,n,o,s,i,a,u){let l;if(n==null?(l=new Array(t.length),l.fill(1)):l=n,i!=null&&(i&i-1)!==0)throw new Error(\"Multiple ellipses in slice is not allowed.\");let c=!1,p={dims:l.length,numAddAxisAfterEllipsis:0,begin:t.slice(),end:e.slice(),strides:l.slice(),beginMask:o,endMask:s,ellipsisMask:i,newAxisMask:a,shrinkAxisMask:u};for(let w=0;w0?0:-1,m.strides[w]>0?N:N-1];if(C&&m.strides[w]<=0)throw Error(\"only stride 1 allowed on non-range indexing.\");h=h&&m.strides[w]===1;let $=!!(m.beginMask&1<=N)throw Error(`slice index ${m.begin[w]} of dimension ${w} out of bounds.`)}else m.begin[w]=SE(m.begin[w],0,m.strides[w],N,_,A),m.end[w]=SE(m.end[w],1,m.strides[w],N,_,A);let V=m.strides[w]===1&&m.begin[w]===0&&m.end[w]===N;f=f&&V,d=d&&(w===0&&m.strides[w]===1||V)}else f=f&&m.strides[w]===1&&$,d=d&&(w===0&&m.strides[w]===1||$);let F,P=!1;if(m.beginValid&&m.endValid?(F=m.end[w]-m.begin[w],P=!0):C?(F=1,P=!0):$&&N>=0&&(m.strides[w]<0?F=-N:F=N,P=!0),P){let V;F===0||F<0!=m.strides[w]<0?V=0:V=Math.trunc(F/m.strides[w])+(F%m.strides[w]!==0?1:0),g.push(V)}else g.push(-1)}for(let w=0;w=0?x.push(g[C]):C===H0&&x.push(1)}return{finalShapeSparse:x.filter((w,C)=>m.finalShapeGatherIndices[C]!==H0),finalShape:x,isIdentity:f,sliceDim0:d,isSimpleSlice:h,begin:m.begin,end:m.end,strides:m.strides}}function wH(r,t){t.beginMask=0,t.endMask=0,t.shrinkAxisMask=0;let e=0;t.beginValid=r.begin!=null,t.endValid=r.end!=null,t.begin=new Array(t.dims),t.end=new Array(t.dims),t.strides=new Array(t.dims),t.finalShapeGatherIndices=[],t.finalShapeGatherIndicesSparse=[],t.inputShapeGatherIndicesSparse=new Array(t.dims);for(let n=0;n0?s[t]:s[t+1&1];{let i=r<0?n+r:r;return is[1]?s[1]:i}}var Q={};Wt(Q,{Serializable:()=>uh,SerializationMap:()=>_i,registerClass:()=>Cn});var uh=class{getClassName(){return this.constructor.className}static fromConfig(t,e){return new t(e)}},_i=class{constructor(){this.classNameMap={}}static getMap(){return _i.instance==null&&(_i.instance=new _i),_i.instance}static register(t){_i.getMap().classNameMap[t.className]=[t,t.fromConfig]}};function Cn(r){E(r.className!=null,()=>\"Class being registered does not have the static className property defined.\"),E(typeof r.className==\"string\",()=>\"className is required to be a string, but got type \"+typeof r.className),E(r.className.length>0,()=>\"Class being registered has an empty-string as its className, which is disallowed.\"),_i.register(r)}var OE={};Wt(OE,{TEST_EPSILON_FLOAT16:()=>DE,createVideoElement:()=>kH,encodeStrings:()=>FE,expectArrayBuffersEqual:()=>TH,expectArraysClose:()=>IH,expectArraysEqual:()=>vH,expectNumbersClose:()=>RE,expectPromiseToFail:()=>SH,expectValuesInRange:()=>NH,play:()=>EH,testEpsilon:()=>ix});var CH=.001,DE=.1;function IH(r,t,e){return e==null&&(e=ix()),K0(r,t,(n,o)=>j0(n,o,e))}function ix(){return k.backend.floatPrecision()===32?CH:DE}function K0(r,t,e){let n=!0;if((xr(r)||xr(t))&&(n=!1),xr(r)&&xr(t)&&(n=!0),n){let i=r.constructor.name,a=t.constructor.name;if(i!==a)throw new Error(`Arrays are of different type. Actual: ${i}. Expected: ${a}`)}if(Array.isArray(r)&&Array.isArray(t)){let i=Br(r),a=Br(t);if(!Dn(i,a))throw new Error(`Arrays have different shapes. Actual: [${i}]. Expected: [${a}]`)}let o=xr(r)?r:Bo(r),s=xr(t)?t:Bo(t);if(o.length!==s.length)throw new Error(`Arrays have different lengths actual: ${o.length} vs expected: ${s.length}.\nActual: ${o}.\nExpected: ${s}.`);for(let i=0;it.fail(),()=>t()),typeof expect!=\"undefined\"&&expect().nothing()}function vH(r,t){let e=typeof t==\"string\"||typeof t==\"number\"||typeof t==\"boolean\"?[t]:t;return Vo(r)||Vo(r[0])||Vo(t)||Vo(t[0])?K0(r,e,(n,o)=>n==o):K0(r,t,(n,o)=>j0(n,o,0))}function RE(r,t,e){if(e==null&&(e=ix()),!j0(r,t,e))throw new Error(`Numbers differ: actual === ${r}, expected === ${t}`);typeof expect!=\"undefined\"&&expect().nothing()}function j0(r,t,e){return!isFinite(r)&&!isFinite(t)?!0:!(isNaN(r)||isNaN(t)||Math.abs(r-t)>e)}function NH(r,t,e){for(let n=0;ne)throw new Error(`Value out of range:${r[n]} low: ${t}, high: ${e}`)}function TH(r,t){let e=new Float32Array(r),n=new Float32Array(t);if(e.length!==n.length)throw new Error(`Expected ArrayBuffer to be of length ${n.length}, but it was ${e.length}`);for(let o=0;o{t.addEventListener(\"loadeddata\",n=>e(t)),t.load()})}async function EH(r){await r.play(),\"requestVideoFrameCallback\"in r&&await new Promise(t=>{r.requestVideoFrameCallback(t)})}var PE=\"4.0.0\";function _H(r,t){let e=I(r,\"a\",\"add\"),n=I(t,\"b\",\"add\");[e,n]=Ut(e,n);let o={a:e,b:n};return k.runKernel(Zn,o)}var X=T({add_:_H});function AH(r,t){let e=I(r,\"a\",\"floorDiv\"),n=I(t,\"b\",\"floorDiv\");[e,n]=Ut(e,n);let o={a:e,b:n};return k.runKernel(ns,o)}var Yp=T({floorDiv_:AH});function $H(r,t){let e=I(r,\"a\",\"div\"),n=I(t,\"b\",\"div\");if([e,n]=Ut(e,n),e.dtype===\"int32\"&&n.dtype===\"int32\")return Yp(e,n);let o={a:e,b:n},s={};return k.runKernel(Qo,o,s)}var pt=T({div_:$H});function DH(r,t){let e=I(r,\"a\",\"mul\"),n=I(t,\"b\",\"mul\");[e,n]=Ut(e,n);let o={a:e,b:n};return k.runKernel(hs,o)}var D=T({mul_:DH});function RH(r){let t=I(r,\"x\",\"abs\");if(t.dtype===\"complex64\"){let e={x:t};return k.runKernel(_l,e)}else{let e={x:t};return k.runKernel(ii,e)}}var Ee=T({abs_:RH});function FH(r){let e={x:I(r,\"x\",\"acos\")};return k.runKernel(oa,e)}var ax=T({acos_:FH});function OH(r){let e={x:I(r,\"x\",\"acosh\")};return k.runKernel(sa,e)}var lx=T({acosh_:OH});function PH(r){E(Array.isArray(r),()=>\"The argument passed to tf.addN() must be a list of tensors\"),E(r.length>=1,()=>`Must pass at least one tensor to tf.addN(), but got ${r.length}`);let t=r.map((o,s)=>I(o,`tensors${s}`,\"addN\")),e=t[0];t.forEach(o=>{if(o.dtype!==e.dtype)throw new Error(\"All tensors passed to tf.addN() must have the same dtype\")}),t.forEach(o=>{if(!Dn(o.shape,e.shape))throw new Error(\"All tensors passed to tf.addN() must have the same shape\")});let n=t;return k.runKernel(Go,n)}var LE=T({addN_:PH});function LH(r,t=null,e=!1){let o={x:I(r,\"x\",\"all\",\"bool\")},s={axis:t,keepDims:e};return k.runKernel(ia,o,s)}var Zp=T({all_:LH});function MH(r,t=null,e=!1){let o={x:I(r,\"x\",\"any\",\"bool\")},s={axis:t,keepDims:e};return k.runKernel(aa,o,s)}var qu=T({any_:MH});function zH(r,t=0){let n={x:I(r,\"x\",\"argMax\")},o={axis:t};return k.runKernel(Wo,n,o)}var Ai=T({argMax_:zH});function BH(r,t=0){let n={x:I(r,\"x\",\"argMin\")},o={axis:t};return k.runKernel(kl,n,o)}var ux=T({argMin_:BH});function VH(r){let e={x:I(r,\"x\",\"asin\")};return k.runKernel(la,e)}var cx=T({asin_:VH});function GH(r){let e={x:I(r,\"x\",\"asinh\")};return k.runKernel(ua,e)}var px=T({asinh_:GH});function WH(r){let e={x:I(r,\"x\",\"atan\")};return k.runKernel(ca,e)}var mx=T({atan_:WH});function UH(r,t){let e=I(r,\"a\",\"atan2\"),n=I(t,\"b\",\"atan2\");[e,n]=Ut(e,n);let o={a:e,b:n};return k.runKernel(ma,o)}var fx=T({atan2_:UH});function HH(r){let e={x:I(r,\"x\",\"atanh\")};return k.runKernel(pa,e)}var dx=T({atanh_:HH});function qH(r,t,e,n,o=\"NHWC\",s){let i=r[3],a=[...t,i],u=zE(o);return ju(r,a,e,s,n,null,null,u)}function Y0(r,t,e,n,o,s,i=\"channelsLast\"){let[a,u]=hx(t),l;if(i===\"channelsLast\")l=[a,u,r[3],r[3]];else if(i===\"channelsFirst\")l=[a,u,r[1],r[1]];else throw new Error(`Unknown dataFormat ${i}`);return ju(r,l,e,n,o,s,!1,i)}function KH(r,t,e,n,o,s,i=\"NDHWC\"){let[a,u,l]=X0(t),c,p;if(i===\"NDHWC\")p=\"channelsLast\",c=[a,u,l,r[4],r[4]];else if(i===\"NCDHW\")p=\"channelsFirst\",c=[a,u,l,r[1],r[1]];else throw new Error(`Unknown dataFormat ${i}`);return ME(r,c,e,n,o,!1,p,s)}function ju(r,t,e,n,o,s,i=!1,a=\"channelsLast\"){let[u,l,c,p]=[-1,-1,-1,-1];if(a===\"channelsLast\")[u,l,c,p]=r;else if(a===\"channelsFirst\")[u,p,l,c]=r;else throw new Error(`Unknown dataFormat ${a}`);let[m,f,,d]=t,[h,g]=hx(e),[x,b]=hx(n),w=Jp(m,x),C=Jp(f,b),{padInfo:N,outHeight:_,outWidth:A}=YH(o,l,c,h,g,w,C,s,a),$=i?d*p:d,F;return a===\"channelsFirst\"?F=[u,$,_,A]:a===\"channelsLast\"&&(F=[u,_,A,$]),{batchSize:u,dataFormat:a,inHeight:l,inWidth:c,inChannels:p,outHeight:_,outWidth:A,outChannels:$,padInfo:N,strideHeight:h,strideWidth:g,filterHeight:m,filterWidth:f,effectiveFilterHeight:w,effectiveFilterWidth:C,dilationHeight:x,dilationWidth:b,inShape:r,outShape:F,filterShape:t}}function ME(r,t,e,n,o,s=!1,i=\"channelsLast\",a){let[u,l,c,p,m]=[-1,-1,-1,-1,-1];if(i===\"channelsLast\")[u,l,c,p,m]=r;else if(i===\"channelsFirst\")[u,m,l,c,p]=r;else throw new Error(`Unknown dataFormat ${i}`);let[f,d,h,,g]=t,[x,b,w]=X0(e),[C,N,_]=X0(n),A=Jp(f,C),$=Jp(d,N),F=Jp(h,_),{padInfo:P,outDepth:V,outHeight:G,outWidth:W}=ZH(o,l,c,p,x,b,w,A,$,F,a),q=s?g*m:g,H;return i===\"channelsFirst\"?H=[u,q,V,G,W]:i===\"channelsLast\"&&(H=[u,V,G,W,q]),{batchSize:u,dataFormat:i,inDepth:l,inHeight:c,inWidth:p,inChannels:m,outDepth:V,outHeight:G,outWidth:W,outChannels:q,padInfo:P,strideDepth:x,strideHeight:b,strideWidth:w,filterDepth:f,filterHeight:d,filterWidth:h,effectiveFilterDepth:A,effectiveFilterHeight:$,effectiveFilterWidth:F,dilationDepth:C,dilationHeight:N,dilationWidth:_,inShape:r,outShape:H,filterShape:t}}function jH(r,t,e,n,o){n==null&&(n=Z0(r,t,e));let s=r[0],i=r[1],a=Ku((s-t+2*n)/e+1,o),u=Ku((i-t+2*n)/e+1,o);return[a,u]}function XH(r,t,e,n,o,s){o==null&&(o=Z0(r,t,n));let i=r[0],a=r[1],u=r[2],l=Ku((i-t+2*o)/n+1,s),c=Ku((a-t+2*o)/n+1,s),p=Ku((u-t+2*o)/n+1,s);return[l,c,p,e]}function Z0(r,t,e,n=1){let o=Jp(t,n);return Math.floor((r[0]*(e-1)-e+o)/2)}function hx(r){return typeof r==\"number\"?[r,r,r]:r.length===2?[r[0],r[1],1]:r}function X0(r){return typeof r==\"number\"?[r,r,r]:r}function Jp(r,t){return t<=1?r:r+(r-1)*(t-1)}function YH(r,t,e,n,o,s,i,a,u){let l,c,p;if(typeof r==\"number\"){l={top:r,bottom:r,left:r,right:r,type:r===0?\"VALID\":\"NUMBER\"};let f=jH([t,e],s,n,r,a);c=f[0],p=f[1]}else if(r===\"same\"){c=Math.ceil(t/n),p=Math.ceil(e/o);let m=Math.max(0,(c-1)*n+s-t),f=Math.max(0,(p-1)*o+i-e),d=Math.floor(m/2),h=m-d,g=Math.floor(f/2),x=f-g;l={top:d,bottom:h,left:g,right:x,type:\"SAME\"}}else if(r===\"valid\")l={top:0,bottom:0,left:0,right:0,type:\"VALID\"},c=Math.ceil((t-s+1)/n),p=Math.ceil((e-i+1)/o);else if(typeof r==\"object\"){let m=u===\"channelsLast\"?r[1][0]:r[2][0],f=u===\"channelsLast\"?r[1][1]:r[2][1],d=u===\"channelsLast\"?r[2][0]:r[3][0],h=u===\"channelsLast\"?r[2][1]:r[3][1];l={top:m,bottom:f,left:d,right:h,type:m===0&&f===0&&d===0&&h===0?\"VALID\":\"EXPLICIT\"},c=Ku((t-s+m+f)/n+1,a),p=Ku((e-i+d+h)/o+1,a)}else throw Error(`Unknown padding parameter: ${r}`);return{padInfo:l,outHeight:c,outWidth:p}}function ZH(r,t,e,n,o,s,i,a,u,l,c){let p,m,f,d;if(typeof r==\"number\"){p={top:r,bottom:r,left:r,right:r,front:r,back:r,type:r===0?\"VALID\":\"NUMBER\"};let g=XH([t,e,n,1],a,1,o,r,c);m=g[0],f=g[1],d=g[2]}else if(r===\"same\"){m=Math.ceil(t/o),f=Math.ceil(e/s),d=Math.ceil(n/i);let h=(m-1)*o+a-t,g=(f-1)*s+u-e,x=(d-1)*i+l-n,b=Math.floor(h/2),w=h-b,C=Math.floor(g/2),N=g-C,_=Math.floor(x/2),A=x-_;p={top:C,bottom:N,left:_,right:A,front:b,back:w,type:\"SAME\"}}else if(r===\"valid\")p={top:0,bottom:0,left:0,right:0,front:0,back:0,type:\"VALID\"},m=Math.ceil((t-a+1)/o),f=Math.ceil((e-u+1)/s),d=Math.ceil((n-l+1)/i);else throw Error(`Unknown padding parameter: ${r}`);return{padInfo:p,outDepth:m,outHeight:f,outWidth:d}}function Ku(r,t){if(!t)return Math.trunc(r);switch(t){case\"round\":return Math.round(r);case\"ceil\":return Math.ceil(r);case\"floor\":return Math.floor(r);default:throw new Error(`Unknown roundingMode ${t}`)}}function to(r){let[t,e,n]=hx(r);return t===1&&e===1&&n===1}function Ar(r,t){return to(r)||to(t)}function zE(r){if(r===\"NHWC\")return\"channelsLast\";if(r===\"NCHW\")return\"channelsFirst\";throw new Error(`Unknown dataFormat ${r}`)}function Ie(r,t,e){if(e!=null){if(typeof t==\"string\")throw Error(`Error in ${r}: pad must be an integer when using dimRoundingMode ${e} but got pad ${t}.`);if(typeof t==\"number\")E(na(t),()=>`Error in ${r}: pad must be an integer when using dimRoundingMode ${e} but got pad ${t}.`);else if(typeof t==\"object\")t.forEach(n=>{n.forEach(o=>{E(na(o),()=>`Error in ${r}: pad must be an integer when using dimRoundingMode ${e} but got pad ${o}.`)})});else throw Error(`Error in ${r}: Unknown padding parameter: ${t}`)}}function JH(r,t){let n={x:I(r,\"x\",\"reshape\",\"string_or_numeric\")},o={shape:t};return k.runKernel(di,n,o)}var R=T({reshape_:JH});function QH(r,t,e,n,o){let s=I(r,\"x\",\"avgPool\",\"float32\"),i=1;E(Ar(e,i),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${e} and dilations '${i}'`);let a=s,u=!1;s.rank===3&&(u=!0,a=R(s,[1,s.shape[0],s.shape[1],s.shape[2]])),E(a.rank===4,()=>`Error in avgPool: x must be rank 4 but got rank ${a.rank}.`),Ie(\"avgPool\",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o},p=k.runKernel(Uo,l,c);return p=J(p,s.dtype),u?R(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var Yl=T({avgPool_:QH});function tq(r,t,e,n,o,s=\"NDHWC\"){let i=I(r,\"x\",\"avgPool3d\",\"float32\"),a=i,u=!1;i.rank===4&&(u=!0,a=R(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),E(a.rank===5,()=>`Error in avgPool3d: x must be rank 5 but got rank ${a.rank}.`),E(s===\"NDHWC\",()=>`Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),Ie(\"avgPool3d\",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o,dataFormat:s},p=k.runKernel(El,l,c);return p=J(p,a.dtype),u?R(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}var gx=T({avgPool3d_:tq});function eq(r,t=0){E(r.length>=1,()=>\"Pass at least one tensor to concat\");let e=ja(r,\"tensors\",\"concat\",\"string_or_numeric\");if(e[0].dtype===\"complex64\"&&e.forEach(s=>{if(s.dtype!==\"complex64\")throw new Error(`Cannot concatenate complex64 tensors with a tensor\n with dtype ${s.dtype}. `)}),e.length===1)return sn(e[0]);let n=e,o={axis:t};return k.runKernel(li,n,o)}var ne=T({concat_:eq});function rq(r){let e={x:I(r,\"x\",\"sigmoid\",\"float32\")};return k.runKernel(_s,e)}var Yr=T({sigmoid_:rq});function nq(r,t,e){let n=I(r,\"x\",\"slice\",\"string_or_numeric\");if(n.rank===0)throw new Error(\"Slicing scalar is not possible\");let o={x:n},s={begin:t,size:e};return k.runKernel(gi,o,s)}var Rt=T({slice_:nq});function oq(r){let e={x:I(r,\"x\",\"tanh\",\"float32\")};return k.runKernel(Ps,e)}var $i=T({tanh_:oq});function sq(r,t,e,n,o,s){let i=I(r,\"forgetBias\",\"basicLSTMCell\"),a=I(t,\"lstmKernel\",\"basicLSTMCell\"),u=I(e,\"lstmBias\",\"basicLSTMCell\"),l=I(n,\"data\",\"basicLSTMCell\"),c=I(o,\"c\",\"basicLSTMCell\"),p=I(s,\"h\",\"basicLSTMCell\"),m=ne([l,p],1),f=Lt(m,a),d=X(f,u),h=d.shape[0],g=d.shape[1]/4,x=[h,g],b=Rt(d,[0,0],x),w=Rt(d,[0,g],x),C=Rt(d,[0,g*2],x),N=Rt(d,[0,g*3],x),_=X(D(Yr(b),$i(w)),D(c,Yr(X(i,C)))),A=D($i(_),Yr(N));return[_,A]}var BE=T({basicLSTMCell_:sq});function iq(r,t,e){let n=I(r,\"x\",\"batchToSpaceND\"),o=t.reduce((a,u)=>a*u);E(n.rank>=1+t.length,()=>`input rank is ${n.rank} but should be > than blockShape.length ${t.length}`),E(e.length===t.length,()=>`crops.length is ${e.length} but should be equal to blockShape.length ${t.length}`),E(n.shape[0]%o===0,()=>`input tensor batch is ${n.shape[0]} but is not divisible by the product of the elements of blockShape ${t.join(\" * \")} === ${o}`);let s={x:n},i={blockShape:t,crops:e};return k.runKernel(ai,s,i)}var Zl=T({batchToSpaceND_:iq});function VE(r){let t;return r.rank===0||r.rank===1?t=R(r,[1,1,1,r.size]):r.rank===2?t=R(r,[1,1,r.shape[0],r.shape[1]]):r.rank===3?t=R(r,[1,r.shape[0],r.shape[1],r.shape[2]]):t=r,t}function aq(r,t,e,n,o,s){s==null&&(s=.001);let i=I(r,\"x\",\"batchNorm\"),a=I(t,\"mean\",\"batchNorm\"),u=I(e,\"variance\",\"batchNorm\"),l;o!=null&&(l=I(o,\"scale\",\"batchNorm\"));let c;n!=null&&(c=I(n,\"offset\",\"batchNorm\")),E(a.rank===u.rank,()=>\"Batch normalization gradient requires mean and variance to have equal ranks.\"),E(c==null||a.rank===c.rank,()=>\"Batch normalization gradient requires mean and offset to have equal ranks.\"),E(l==null||a.rank===l.rank,()=>\"Batch normalization gradient requires mean and scale to have equal ranks.\");let m={x:VE(i),scale:l,offset:c,mean:a,variance:u},f={varianceEpsilon:s},d=k.runKernel(os,m,f);return R(d,i.shape)}var Di=T({batchNorm_:aq});function lq(r,t,e,n,o,s){let i=I(r,\"x\",\"batchNorm\"),a=I(t,\"mean\",\"batchNorm\"),u=I(e,\"variance\",\"batchNorm\"),l;o!=null&&(l=I(o,\"scale\",\"batchNorm\"));let c;return n!=null&&(c=I(n,\"offset\",\"batchNorm\")),E(i.rank===2,()=>`Error in batchNorm2D: x must be rank 2 but got rank ${i.rank}.`),E(a.rank===2||a.rank===1,()=>`Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank ${a.rank}.`),E(u.rank===2||u.rank===1,()=>`Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank ${u.rank}.`),l!=null&&E(l.rank===2||l.rank===1,()=>`Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank ${l.rank}.`),c!=null&&E(c.rank===2||c.rank===1,()=>`Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank ${c.rank}.`),Di(i,a,u,c,l,s)}var xx=T({batchNorm2d_:lq});function uq(r,t,e,n,o,s){let i=I(r,\"x\",\"batchNorm\"),a=I(t,\"mean\",\"batchNorm\"),u=I(e,\"variance\",\"batchNorm\"),l;o!=null&&(l=I(o,\"scale\",\"batchNorm\"));let c;return n!=null&&(c=I(n,\"offset\",\"batchNorm\")),E(i.rank===3,()=>`Error in batchNorm3D: x must be rank 3 but got rank ${i.rank}.`),E(a.rank===3||a.rank===1,()=>`Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank ${a.rank}.`),E(u.rank===3||u.rank===1,()=>`Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank ${u.rank}.`),l!=null&&E(l.rank===3||l.rank===1,()=>`Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank ${l.rank}.`),c!=null&&E(c.rank===3||c.rank===1,()=>`Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank ${c.rank}.`),Di(i,a,u,c,l,s)}var yx=T({batchNorm3d_:uq});function cq(r,t,e,n,o,s){let i=I(r,\"x\",\"batchNorm\"),a=I(t,\"mean\",\"batchNorm\"),u=I(e,\"variance\",\"batchNorm\"),l;o!=null&&(l=I(o,\"scale\",\"batchNorm\"));let c;return n!=null&&(c=I(n,\"offset\",\"batchNorm\")),E(i.rank===4,()=>`Error in batchNorm4D: x must be rank 4 but got rank ${i.rank}.`),E(a.rank===4||a.rank===1,()=>`Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank ${a.rank}.`),E(u.rank===4||u.rank===1,()=>`Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank ${u.rank}.`),l!=null&&E(l.rank===4||l.rank===1,()=>`Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank ${l.rank}.`),c!=null&&E(c.rank===4||c.rank===1,()=>`Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank ${c.rank}.`),Di(i,a,u,c,l,s)}var bx=T({batchNorm4d_:cq});function pq(r,t,e){let n=I(r,\"x\",\"bincount\"),o=I(t,\"weights\",\"bincount\");E(n.dtype===\"int32\",()=>`Error in bincount: input dtype must be int32, but got ${n.dtype}`),E(e>=0,()=>`size must be non-negative, but got ${e}.`),E(o.size===n.size||o.size===0,()=>`Error in bincount: weights must have the same size as input or0-length, but got input shape: ${n.shape}, weights shape: ${o.shape}.`);let s={x:n,weights:o},i={size:e};return k.runKernel(up,s,i)}var wx=T({bincount_:pq});function mq(r,t){let e=I(r,\"s0\",\"broadcastArgs\",\"int32\"),n=I(t,\"s1\",\"broadcastArgs\",\"int32\");if(e.rank!==1)throw new Error(`broadcastArgs(): first input must be a vector (rank=1). Has rank ${e.rank}`);if(n.rank!==1)throw new Error(`broadcastArgs(): second input must be a vector (rank=1). Has rank ${n.rank}`);let o={s0:e,s1:n};return k.runKernel(cp,o)}var GE=T({broadcastArgs_:mq});function fq(r,t){let e=I(r,\"broadcastTo\",\"x\"),n=e.shape;if(t.some(l=>!(l>0)||l%1!==0))throw new Error(`broadcastTo(): Invalid broadcast shape [${t}].`);if(t.lengthe.rank){let l=e.shape.slice();for(;l.length=0;l--)if(o[l]===t[l])s[l]=1;else if(e.shape[l]!==1)throw new Error(`broadcastTo(): [${n}] cannot be broadcast to [${t}].`);if(s.map((l,c)=>l>1?c:-1).filter(l=>l>=0).length===0)return sn(e);let a={x:e},u={reps:s};return k.runKernel(Jn,a,u)}var Ri=T({broadcastTo_:fq});function dq(r){let e={x:I(r,\"x\",\"ceil\",\"float32\")};return k.runKernel(qo,e)}var Cx=T({ceil_:dq});function xo(r,t,e){let n={shape:r,value:t,dtype:e};return k.runKernel(Dl,{},n)}function hq(r,t,e){let n=I(r,\"x\",\"clipByValue\");if(E(t<=e,()=>`Error in clip: min (${t}) must be less than or equal to max (${e}).`),t===e)return xo(n.shape,t,n.dtype);let o={x:n},s={clipValueMin:t,clipValueMax:e};return k.runKernel(uo,o,s)}var Cr=T({clipByValue_:hq});function gq(r){return ne(r,0)}var Ix=T({concat1d_:gq});function xq(r,t){return ne(r,t)}var Sx=T({concat2d_:xq});function yq(r,t){return ne(r,t)}var vx=T({concat3d_:yq});function bq(r,t){return ne(r,t)}var Nx=T({concat4d_:bq});function wq(r,t,e,n,o=\"NHWC\",s=[1,1],i){let a=I(r,\"x\",\"conv2d\",\"float32\"),u=I(t,\"filter\",\"conv2d\",\"float32\"),l=a,c=!1;a.rank===3&&(c=!0,l=R(a,[1,a.shape[0],a.shape[1],a.shape[2]])),E(l.rank===4,()=>`Error in conv2d: input must be rank 4, but got rank ${l.rank}.`),E(u.rank===4,()=>`Error in conv2d: filter must be rank 4, but got rank ${u.rank}.`),Ie(\"conv2d\",n,i);let p=o===\"NHWC\"?l.shape[3]:l.shape[1];E(p===u.shape[2],()=>`Error in conv2d: depth of input (${p}) must match input depth for filter ${u.shape[2]}.`),E(Ar(e,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${e} and dilations '${s}'`);let m={x:l,filter:u},f={strides:e,pad:n,dataFormat:o,dilations:s,dimRoundingMode:i},d=k.runKernel(Ko,m,f);return c?R(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var In=T({conv2d_:wq});function Cq(r,t,e,n,o=\"NWC\",s=1,i){let a=I(r,\"x\",\"conv1d\"),u=I(t,\"filter\",\"conv1d\"),l=a,c=!1;a.rank===2&&(c=!0,l=R(a,[1,a.shape[0],a.shape[1]])),E(l.rank===3,()=>`Error in conv1d: input must be rank 3, but got rank ${l.rank}.`),E(u.rank===3,()=>`Error in conv1d: filter must be rank 3, but got rank ${u.rank}.`),Ie(\"conv1d\",n,i),E(l.shape[2]===u.shape[1],()=>`Error in conv1d: depth of input (${l.shape[2]}) must match input depth for filter ${u.shape[1]}.`),E(Ar(e,s),()=>`Error in conv1D: Either stride or dilation must be 1. Got stride ${e} and dilation '${s}'`),E(o===\"NWC\",()=>`Error in conv1d: got dataFormat of ${o} but only NWC is currently supported.`);let p=R(u,[1,u.shape[0],u.shape[1],u.shape[2]]),m=R(l,[l.shape[0],1,l.shape[1],l.shape[2]]),g=In(m,p,[1,e],n,\"NHWC\",[1,s],i);return c?R(g,[g.shape[2],g.shape[3]]):R(g,[g.shape[0],g.shape[2],g.shape[3]])}var Qp=T({conv1d_:Cq});function Iq(r,t,e,n,o,s=\"NHWC\",i){E(r.length===t.rank,()=>`Length of inShape (${r.length}) and rank of dy (${t.rank}) must match`);let a=r,u=t,l=!1;t.rank===3&&(l=!0,u=R(t,[1,t.shape[0],t.shape[1],t.shape[2]]),a=[1,r[0],r[1],r[2]]),E(a.length===4,()=>`Error in conv2dDerInput: inShape must be length 4, but got length ${a.length}.`),E(u.rank===4,()=>`Error in conv2dDerInput: dy must be rank 4, but got rank ${u.rank}`),E(e.rank===4,()=>`Error in conv2dDerInput: filter must be rank 4, but got rank ${e.rank}`);let c=s===\"NHWC\"?a[3]:a[1],p=s===\"NHWC\"?u.shape[3]:u.shape[1];E(c===e.shape[2],()=>`Error in conv2dDerInput: depth of input (${c}) must match input depth for filter ${e.shape[2]}.`),E(p===e.shape[3],()=>`Error in conv2dDerInput: depth of output (${p}) must match output depth for filter ${e.shape[3]}.`),Ie(\"conv2dDerInput\",o,i);let m={dy:u,filter:e},f={strides:n,pad:o,dataFormat:s,dimRoundingMode:i,inputShape:a},d=k.runKernel(jo,m,f);return l?R(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var tm=T({conv2DBackpropInput_:Iq});function Sq(r,t,e,n,o,s){let i=I(r,\"x\",\"conv2dTranspose\"),a=I(t,\"filter\",\"conv2dTranspose\");return tm(e,i,a,n,o,\"NHWC\",s)}var em=T({conv2dTranspose_:Sq});function vq(r,t,e,n,o=\"NDHWC\",s=[1,1,1]){let i=I(r,\"x\",\"conv3d\"),a=I(t,\"filter\",\"conv3d\"),u=i,l=!1;i.rank===4&&(l=!0,u=R(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),E(u.rank===5,()=>`Error in conv3d: input must be rank 5, but got rank ${u.rank}.`),E(a.rank===5,()=>`Error in conv3d: filter must be rank 5, but got rank ${a.rank}.`),E(u.shape[4]===a.shape[3],()=>`Error in conv3d: depth of input (${u.shape[4]}) must match input depth for filter ${a.shape[3]}.`),E(Ar(e,s),()=>`Error in conv3D: Either strides or dilations must be 1. Got strides ${e} and dilations '${s}'`),E(o===\"NDHWC\",()=>`Error in conv3d: got dataFormat of ${o} but only NDHWC is currently supported.`);let c={x:u,filter:a},p={strides:e,pad:n,dataFormat:o,dilations:s},m=k.runKernel(Al,c,p);return l?R(m,[m.shape[1],m.shape[2],m.shape[3],m.shape[4]]):m}var Tx=T({conv3d_:vq});function Nq(r,t,e,n,o){E(r.length===t.rank,()=>`Length of inShape (${r.length}) and rank of dy (${t.rank}) must match`);let s=r,i=t,a=!1;t.rank===4&&(a=!0,i=R(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]]),s=[1,r[0],r[1],r[2],r[3]]);let u=s[4],l=i.shape[4];E(s.length===5,()=>`Error in conv3dDerInput: inShape must be length 5, but got length ${s.length}.`),E(i.rank===5,()=>`Error in conv3dDerInput: dy must be rank 5, but got rank ${i.rank}`),E(e.rank===5,()=>`Error in conv3dDerInput: filter must be rank 5, but got rank ${e.rank}`),E(u===e.shape[3],()=>`Error in conv3dDerInput: depth of input (${u}) must match input depth for filter ${e.shape[3]}.`),E(l===e.shape[4],()=>`Error in conv3dDerInput: depth of output (${l}) must match output depth for filter ${e.shape[4]}.`);let c={dy:i,filter:e},p={pad:o,strides:n,inputShape:s},m=k.runKernel(dp,c,p);return a?R(m,[m.shape[1],m.shape[2],m.shape[3],m.shape[4]]):m}var kx=T({conv3DBackpropInput_:Nq});function Tq(r,t,e,n,o){let s=I(r,\"x\",\"conv3dTranspose\"),i=I(t,\"filter\",\"conv3dTranspose\");return kx(e,s,i,n,o)}var Ex=T({conv3dTranspose_:Tq});function kq(r){let e={x:I(r,\"x\",\"cos\",\"float32\")};return k.runKernel(Xo,e)}var Jl=T({cos_:kq});function Eq(r){let e={x:I(r,\"x\",\"cosh\",\"float32\")};return k.runKernel(Yo,e)}var rm=T({cosh_:Eq});function _q(r,t=0,e=!1,n=!1){let s={x:I(r,\"x\",\"cumprod\")},i={axis:t,exclusive:e,reverse:n};return k.runKernel(fa,s,i)}var Xu=T({cumprod_:_q});function Aq(r,t=0,e=!1,n=!1){let s={x:I(r,\"x\",\"cumsum\")},i={axis:t,exclusive:e,reverse:n};return k.runKernel(Zo,s,i)}var nm=T({cumsum_:Aq});function $q(r,t,e,n=!1){let o=I(r,\"x\",\"denseBincount\"),s=I(t,\"weights\",\"denseBincount\");E(o.dtype===\"int32\",()=>`Error in denseBincount: input dtype must be int32, but got ${o.dtype}`),E(o.rank<=2,()=>`Error in denseBincount: input must be at most rank 2, but got rank ${o.rank}.`),E(e>=0,()=>`size must be non-negative, but got ${e}.`),E(s.size===o.size||s.size===0,()=>`Error in denseBincount: weights must have the same shape as x or 0-length, but got x shape: ${o.shape}, weights shape: ${s.shape}.`);let i={x:o,weights:s},a={size:e,binaryOutput:n};return k.runKernel(hp,i,a)}var ch=T({denseBincount_:$q});function Dq(r,t,e=\"NHWC\"){let n=I(r,\"x\",\"depthToSpace\",\"float32\"),o=e===\"NHWC\"?n.shape[1]:n.shape[2],s=e===\"NHWC\"?n.shape[2]:n.shape[3],i=e===\"NHWC\"?n.shape[3]:n.shape[1];E(t>1,()=>`blockSize should be > 1 for depthToSpace, but was: ${t}`),E(o*t>=0,()=>`Negative dimension size caused by overflow when multiplying\n ${o} and ${t} for depthToSpace with input shape\n ${n.shape}`),E(s*t>=0,()=>`Negative dimension size caused by overflow when multiplying\n ${s} and ${t} for depthToSpace with input shape\n ${n.shape}`),E(i%(t*t)===0,()=>`Dimension size must be evenly divisible by ${t*t} but is ${i} for depthToSpace with input shape ${n.shape}`);let a={x:n},u={blockSize:t,dataFormat:e};return k.runKernel(ha,a,u)}var _x=T({depthToSpace_:Dq});function Rq(r,t,e,n,o=\"NHWC\",s=[1,1],i){let a=I(r,\"x\",\"depthwiseConv2d\",\"float32\"),u=I(t,\"filter\",\"depthwiseConv2d\",\"float32\"),l=a,c=!1;a.rank===3&&(c=!0,l=R(a,[1,a.shape[0],a.shape[1],a.shape[2]])),E(l.rank===4,()=>`Error in depthwiseConv2d: input must be rank 4, but got rank ${l.rank}.`),E(u.rank===4,()=>`Error in depthwiseConv2d: filter must be rank 4, but got rank ${u.rank}.`);let p=o===\"NHWC\"?l.shape[3]:l.shape[1];E(p===u.shape[2],()=>`Error in depthwiseConv2d: number of input channels (${p}) must match the inChannels dimension in filter ${u.shape[2]}.`),Ie(\"depthwiseConv2d\",n,i);let m={x:l,filter:u},f={strides:e,pad:n,dataFormat:o,dilations:s,dimRoundingMode:i},d=k.runKernel(Jo,m,f);return c?R(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var Fi=T({depthwiseConv2d_:Rq});function Fq(r){let e={x:I(r,\"x\",\"diag\")};return k.runKernel(yp,e)}var WE=T({diag_:Fq});function Oq(r,t,e,n,o=[1,1],s=\"NHWC\"){let i=I(r,\"x\",\"dilation2d\"),a=I(t,\"filter\",\"dilation2d\");E(i.rank===3||i.rank===4,()=>`Error in dilation2d: input must be rank 3 or 4, but got rank ${i.rank}.`),E(a.rank===3,()=>`Error in dilation2d: filter must be rank 3, but got rank ${a.rank}.`),E(s===\"NHWC\",()=>`Error in dilation2d: Only NHWC is currently supported, but got dataFormat of ${s}`);let u=i,l=!1;i.rank===3&&(u=R(i,[1,i.shape[0],i.shape[1],i.shape[2]]),l=!0);let c={x:u,filter:a},p={strides:e,pad:n,dilations:o},m=k.runKernel($l,c,p);return l?R(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var Ax=T({dilation2d_:Oq});function Pq(r,t){let e=I(r,\"a\",\"equal\",\"string_or_numeric\"),n=I(t,\"b\",\"equal\",\"string_or_numeric\");[e,n]=Ut(e,n),Pt(e.shape,n.shape);let o={a:e,b:n};return k.runKernel(xa,o)}var $r=T({equal_:Pq});function Lq(r,t,e){let n=I(t,\"a\",\"where\"),o=I(e,\"b\",\"where\"),s=I(r,\"condition\",\"where\",\"bool\"),i=Pt(Pt(s.shape,n.shape),o.shape),a=Ri(s,i),u=Ri(n,i),l=Ri(o,i),c={condition:a,t:u,e:l};return k.runKernel(hi,c)}var _e=T({where_:Lq});function Mq(r){let e={x:I(r,\"x\",\"zerosLike\")};return k.runKernel(wi,e)}var It=T({zerosLike_:Mq});function zq(r,t){let e=I(r,\"a\",\"div\"),n=I(t,\"b\",\"div\");[e,n]=Ut(e,n);let o=pt(e,n),s=It(o),i=$r(n,s);return _e(i,s,o)}var $x=T({divNoNan_:zq});function Bq(r,t){let e=I(r,\"t1\",\"dot\"),n=I(t,\"t2\",\"dot\");E((e.rank===1||e.rank===2)&&(n.rank===1||n.rank===2),()=>`Error in dot: inputs must all be rank 1 or 2, but got ranks ${e.rank} and ${n.rank}.`);let o=e.rank===1?e.size:e.shape[1],s=n.rank===1?n.size:n.shape[0];if(E(o===s,()=>`Error in dot: inner dimensions of inputs must match, but got ${o} and ${s}.`),e.rank===1&&n.rank===1){let i=R(e,[1,-1]),a=R(n,[-1,1]),u=Lt(i,a);return R(u,[])}else if(e.rank===1&&n.rank===2){let i=R(e,[1,-1]),a=R(n,[n.shape[0],n.shape[1]]),u=Lt(i,a);return R(u,[u.size])}else if(e.rank===2&&n.rank===1){let i=R(n,[-1,1]),a=Lt(e,i);return R(a,[a.size])}else{let i=R(n,[n.shape[0],n.shape[1]]);return Lt(e,i)}}var Dx=T({dot_:Bq});function Vq(r,...t){let e=t.map((o,s)=>I(o,`tensors${s}`,\"einsum\")),n={equation:r};return k.runKernel(bp,e,n)}var UE=T({einsum_:Vq});function Gq(r){let e={x:I(r,\"x\",\"elu\",\"float32\")};return k.runKernel(ts,e)}var Oi=T({elu_:Gq});function Wq(r){let t=I(r,\"x\",\"erf\");E(t.dtype===\"int32\"||t.dtype===\"float32\",()=>\"Input dtype must be `int32` or `float32`.\"),t.dtype===\"int32\"&&(t=J(t,\"float32\"));let e={x:t};return k.runKernel(ga,e)}var Rx=T({erf_:Wq});function J0(r,t){for(let e=0;er[s]);return[e,o]}function yo(r,t){let e=t.map(n=>1);return HE(r,e,t)}function Uq(r,t,e){E(J0(t,e),()=>`${r} supports only inner-most axes for now. Got axes ${t} and rank-${e} input.`)}function tv(r,t){if(J0(r,t))return null;let e=[];for(let n=0;ne.push(n)),e}function ph(r){return r.map((t,e)=>[e,t]).sort((t,e)=>t[1]-e[1]).map(t=>t[0])}function Hq(r,t){let e=[];for(let n=t-r;n\"Axis must be <= rank of the tensor\");let n={input:e},o={dim:t};return k.runKernel(ui,n,o)}var rr=T({expandDims_:eK});function rK(r){let e={x:I(r,\"x\",\"expm1\")};return k.runKernel(ya,e)}var Ox=T({expm1_:rK});function nK(r,t){let e=I(r,\"x\",\"tile\",\"string_or_numeric\");E(e.rank===t.length,()=>`Error in transpose: rank of input ${e.rank} must match length of reps ${t}.`);let n={x:e},o={reps:t};return k.runKernel(Jn,n,o)}var Dr=T({tile_:nK});function oK(r,t,e,n=\"float32\"){t==null&&(t=r);let o=wt([r,t],n),s=r<=t?r:t;for(let a=0;a`Error in localResponseNormalization: x must be rank 3 or 4 but got\n rank ${s.rank}.`),E(na(t),()=>`Error in localResponseNormalization: depthRadius must be an integer but got depthRadius ${t}.`);let i=s,a=!1;s.rank===3&&(a=!0,i=R(s,[1,s.shape[0],s.shape[1],s.shape[2]]));let u={x:i},l={depthRadius:t,bias:e,alpha:n,beta:o},c=k.runKernel(Rl,u,l);return a?R(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var zx=T({localResponseNormalization_:hK});function gK(r){let e={x:I(r,\"x\",\"log\",\"float32\")};return k.runKernel(as,e)}var Sr=T({log_:gK});function xK(r){let e={x:I(r,\"x\",\"log1p\")};return k.runKernel(ka,e)}var tu=T({log1p_:xK});function yK(r){return E(oi(r),()=>\"The f passed in grad(f) must be a function\"),(t,e)=>{let n=I(t,\"x\",\"tf.grad\",\"string_or_numeric\"),o=e!=null?I(e,\"dy\",\"tf.grad\"):null;return k.tidy(()=>{let{value:s,grads:i}=k.gradients(()=>r(n),[n],o);return o!=null&&$e(s.shape,o.shape,\"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)\"),Vx(i),i[0]})}}function bK(r){return E(oi(r),()=>\"The f passed in grads(f) must be a function\"),(t,e)=>{E(Array.isArray(t),()=>\"The args passed in grads(f)(args) must be an array of `Tensor`s or `TensorLike`s\");let n=ja(t,\"args\",\"tf.grads\",\"string_or_numeric\"),o=e!=null?I(e,\"dy\",\"tf.grads\"):null;return k.tidy(()=>{let{value:s,grads:i}=k.gradients(()=>r(...n),n,o);return o!=null&&$e(s.shape,o.shape,\"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])\"),Vx(i),i})}}function wK(r){return E(oi(r),()=>\"The f passed in valueAndGrad(f) must be a function\"),(t,e)=>{E(t instanceof Ft,()=>\"The x passed in valueAndGrad(f)(x) must be a tensor\"),E(e==null||e instanceof Ft,()=>\"The dy passed in valueAndGrad(f)(x, dy) must be a tensor\");let{grads:n,value:o}=k.gradients(()=>r(t),[t],e);return Vx(n),{grad:n[0],value:o}}}function CK(r){return E(oi(r),()=>\"The f passed in valueAndGrads(f) must be a function\"),(t,e)=>{E(Array.isArray(t)&&t.every(o=>o instanceof Ft),()=>\"The args passed in valueAndGrads(f)(args) must be array of tensors\"),E(e==null||e instanceof Ft,()=>\"The dy passed in valueAndGrads(f)(args, dy) must be a tensor\");let n=k.gradients(()=>r(...t),t,e);return e!=null&&$e(n.value.shape,e.shape,\"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])\"),Vx(n.grads),n}}function Bx(r,t){E(oi(r),()=>\"The f passed in variableGrads(f) must be a function\"),E(t==null||Array.isArray(t)&&t.every(l=>l instanceof Ka),()=>\"The varList passed in variableGrads(f, varList) must be an array of variables\");let e=t!=null;if(!e){t=[];for(let l in k.registeredVariables)t.push(k.registeredVariables[l])}let n=e?t.filter(l=>!l.trainable):null,o=t.length;t=t.filter(l=>l.trainable),E(t.length>0,()=>`variableGrads() expects at least one of the input variables to be trainable, but none of the ${o} variables is trainable.`);let s=!0,{value:i,grads:a}=k.gradients(r,t,null,s);E(a.some(l=>l!=null),()=>\"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize().\"),E(i.rank===0,()=>`The f passed in variableGrads(f) must return a scalar, but it returned a rank-${i.rank} tensor`);let u={};return t.forEach((l,c)=>{a[c]!=null&&(u[l.name]=a[c])}),n!=null&&n.forEach(l=>u[l.name]=null),{value:i,grads:u}}function un(r){return k.customGrad(r)}function Vx(r){if(r.filter(e=>e==null).length>0)throw new Error(`Cannot compute gradient of y=f(x) with respect to x. Make sure that\n the f you passed encloses all operations that lead from x to y.`)}function IK(r){let e={x:I(r,\"x\",\"softplus\")};return k.runKernel(Va,e)}var zs=T({softplus_:IK});function SK(r){let t=I(r,\"x\",\"logSigmoid\");return un(n=>({value:Ht(zs(Ht(n))),gradFunc:i=>D(i,Yr(Ht(n)))}))(t)}var Gx=T({logSigmoid_:SK});function vK(r,t){let e=I(r,\"a\",\"sub\"),n=I(t,\"b\",\"sub\");[e,n]=Ut(e,n);let o={a:e,b:n};return k.runKernel(Fs,o)}var ct=T({sub_:vK});function NK(r,t=-1){let e=I(r,\"logits\",\"logSoftmax\");if(t===-1&&(t=e.rank-1),t!==e.rank-1)throw Error(`Log Softmax along a non-last dimension is not yet supported. Logits was rank ${e.rank} and axis was ${t}`);return un((o,s)=>{let a=Ir(o,t,!0),u=ct(o,a),l=ct(J(u,\"float32\"),Sr(ft(er(u),t,!0)));return s([l]),{value:l,gradFunc:(p,m)=>{let[f]=m,d=!0,h=er(f);return ct(p,D(ft(p,t,d),h))}}})(e)}var sm=T({logSoftmax_:NK});function TK(r,t=null,e=!1){let n=I(r,\"x\",\"logSumExp\"),o=lr(t,n.shape),s=Ir(n,o,!0),i=ct(n,s),a=er(i),u=ft(a,o),l=Sr(u),c=X(R(s,l.shape),l);if(e){let p=yo(c.shape,o);return R(c,p)}return c}var im=T({logSumExp_:TK});function kK(r,t){let e=I(r,\"a\",\"logicalAnd\",\"bool\"),n=I(t,\"b\",\"logicalAnd\",\"bool\");Pt(e.shape,n.shape);let o={a:e,b:n};return k.runKernel(Ea,o)}var Rr=T({logicalAnd_:kK});function EK(r){let e={x:I(r,\"x\",\"logicalNot\",\"bool\")};return k.runKernel(_a,e)}var eu=T({logicalNot_:EK});function _K(r,t){let e=I(r,\"a\",\"logicalOr\",\"bool\"),n=I(t,\"b\",\"logicalOr\",\"bool\");Pt(e.shape,n.shape);let o={a:e,b:n};return k.runKernel(Aa,o)}var am=T({logicalOr_:_K});function AK(r,t){let e=I(r,\"a\",\"logicalXor\",\"bool\"),n=I(t,\"b\",\"logicalXor\",\"bool\");return Pt(e.shape,n.shape),Rr(am(r,t),eu(Rr(r,t)))}var Wx=T({logicalXor_:AK});var Ux=2147483648;function $K(r,t,e=\"left\"){let n=I(r,\"sortedSequence\",\"searchSorted\"),o=I(t,\"values\",\"searchSorted\"),s=n.shape[n.shape.length-1],i=o.shape[o.shape.length-1],a=R(n,[-1,s]),u=R(o,[-1,i]);if(a.rank<2)throw new Error(\"Sorted input argument must be at least 2-dimensional\");if(a.shape[0]!==u.shape[0])throw new Error(\"Leading dimension of 'sortedSequence' and 'values' must match.\");if(Jt(u.shape)>=Ux)throw new Error(`values tensor size must less than ${Ux}`);if(a.shape[1]>=Ux)throw new Error(`trailing dim_size must less than ${Ux} for int32 output type, was ${a.shape[1]}`);let l={sortedSequence:a,values:u},c={side:e};return k.runKernel(Pp,l,c)}var mh=T({searchSorted_:$K});function jE(r,t){return mh(r,t,\"left\")}function DK(r,t,e,n,o){let s=I(r,\"x\",\"maxPool\"),i=1,a=s,u=!1;s.rank===3&&(u=!0,a=R(s,[1,s.shape[0],s.shape[1],s.shape[2]])),E(a.rank===4,()=>`Error in maxPool: input must be rank 4 but got rank ${a.rank}.`),E(Ar(e,i),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${e} and dilations '${i}'`),Ie(\"maxPool\",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o},p=k.runKernel(cs,l,c);return u?R(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var ru=T({maxPool_:DK});function RK(r,t=[1,1,1],e,n,o,s=\"NDHWC\"){let i=I(r,\"x\",\"maxPool3d\"),a=i,u=!1;i.rank===4&&(u=!0,a=R(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),E(a.rank===5,()=>`Error in maxPool3d: x must be rank 5 but got rank ${a.rank}.`),E(s===\"NDHWC\",()=>`Error in maxPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),Ie(\"maxPool3d\",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o,dataFormat:s},p=k.runKernel(Fl,l,c);return u?R(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}var Hx=T({maxPool3d_:RK});function FK(r,t,e,n,o=!1){let i={x:I(r,\"x\",\"maxPoolWithArgmax\")},a={filterSize:t,strides:e,pad:n,includeBatchInIndex:o},u=k.runKernel(Ep,i,a);return{result:u[0],indexes:u[1]}}var XE=T({maxPoolWithArgmax_:FK});function OK(r,t){let e=I(r,\"a\",\"maximum\"),n=I(t,\"b\",\"maximum\");[e,n]=Ut(e,n),e.dtype===\"bool\"&&(e=J(e,\"int32\"),n=J(n,\"int32\")),Pt(e.shape,n.shape);let o={a:e,b:n};return k.runKernel(us,o)}var Sn=T({maximum_:OK});function PK(r,t=null,e=!1){let o={x:I(r,\"x\",\"mean\")},s={axis:t,keepDims:e};return k.runKernel(ps,o,s)}var ve=T({mean_:PK});function Ne(r,t=\"float32\"){if(t===\"complex64\"){let n=Ne(r,\"float32\"),o=Ne(r,\"float32\");return wn(n,o)}let e=ip(Jt(r),t);return k.makeTensor(e,r,t)}function cr(r,t=\"float32\"){if(t===\"complex64\"){let n=cr(r,\"float32\"),o=Ne(r,\"float32\");return wn(n,o)}let e=Wd(Jt(r),t);return k.makeTensor(e,r,t)}function YE(r,t,{indexing:e=\"xy\"}={}){if(e!==\"xy\"&&e!==\"ij\")throw new TypeError(`${e} is not a valid third argument to meshgrid`);if(r===void 0)return[];let n=I(r,\"x\",\"meshgrid\",r instanceof Ft?r.dtype:\"float32\");if(t===void 0)return[n];let o=I(t,\"y\",\"meshgrid\",t instanceof Ft?t.dtype:\"float32\"),s=Jt(n.shape),i=Jt(o.shape);return e===\"xy\"?(n=R(n,[1,-1]),o=R(o,[-1,1]),[Lt(cr([i,1],n.dtype),n),Lt(o,cr([1,s],o.dtype))]):(n=R(n,[-1,1]),o=R(o,[1,-1]),[Lt(n,cr([1,i],n.dtype)),Lt(cr([s,1],o.dtype),o)])}function LK(r,t){let e=I(r,\"a\",\"minimum\"),n=I(t,\"b\",\"minimum\");[e,n]=Ut(e,n),e.dtype===\"bool\"&&(e=J(e,\"int32\"),n=J(n,\"int32\")),Pt(e.shape,n.shape);let o={a:e,b:n};return k.runKernel(fs,o)}var Mi=T({minimum_:LK});function MK(r,t,e){E(e===\"reflect\"||e===\"symmetric\",()=>`Invalid mode. Mode must be either reflect or symmetric. Got ${e}.`);let n=I(r,\"x\",\"mirrorPad\");if(n.rank===0)throw new Error(\"mirrorPad(scalar) is not defined. Pass non-scalar to mirrorPad\");E(t.length===n.rank,()=>`Padding doesn't match input. Must be ${n.rank}. Got ${t.length}.`);let o=e===\"reflect\"?1:0;for(let a=0;a\"Invalid number of paddings. Must be length of 2 each.\"),E(t[a][0]>=0&&t[a][0]<=n.shape[a]-o&&t[a][1]>=0&&t[a][1]<=n.shape[a]-o,()=>`Padding in dimension ${a} cannot be greater than or equal to ${n.shape[a]-o} or less than 0 for input of shape ${n.shape}`);let s={paddings:t,mode:e},i={x:n};return k.runKernel(ds,i,s)}var qx=T({mirrorPad_:MK});function zK(r,t){let e=I(r,\"a\",\"mod\"),n=I(t,\"b\",\"mod\");[e,n]=Ut(e,n);let o={a:e,b:n};return k.runKernel($a,o)}var Kx=T({mod_:zK});function BK(r,t=null,e=!1){r=I(r,\"x\",\"moments\");let n=lr(t,r.shape),o=ve(r,n,e),s=o.shape;e||(s=yo(o.shape,n));let i=Mt(ct(J(r,\"float32\"),R(o,s))),a=ve(i,n,e);return{mean:o,variance:a}}var Zu=T({moments_:BK});function VK(r,t,e,n){let o=I(t,\"data\",\"multiRNNCell\"),s=ja(e,\"c\",\"multiRNNCell\"),i=ja(n,\"h\",\"multiRNNCell\"),a=o,u=[];for(let p=0;p2)throw new Error(`Rank of probabilities must be 1 or 2, but is ${i}`);e=e||Math.random();let u={logits:i===1?R(o,[1,-1]):o},l={numSamples:t,seed:e,normalized:n},c=k.runKernel(_p,u,l);return i===1?R(c,[c.size]):c}var JE=T({multinomial_:GK});function WK(r,t){let e=I(r,\"a\",\"notEqual\",\"string_or_numeric\"),n=I(t,\"b\",\"notEqual\",\"string_or_numeric\");[e,n]=Ut(e,n),Pt(e.shape,n.shape);let o={a:e,b:n};return k.runKernel(Da,o)}var Bs=T({notEqual_:WK});function UK(r){let e={x:I(r,\"x\",\"onesLike\")};return k.runKernel(mi,e)}var yr=T({onesLike_:UK});function HK(r,t){let e=I(r,\"v1\",\"outerProduct\"),n=I(t,\"v2\",\"outerProduct\");E(e.rank===1&&n.rank===1,()=>`Error in outerProduct: inputs must be rank 1, but got ranks ${e.rank} and ${n.rank}.`);let o=R(e,[-1,1]),s=R(n,[1,-1]);return Lt(o,s)}var QE=T({outerProduct_:HK});function qK(r,t,e=0){let n=I(r,\"x\",\"pad\");if(n.rank===0)throw new Error(\"pad(scalar) is not defined. Pass non-scalar to pad\");let o={paddings:t,constantValue:e},s={x:n};return k.runKernel(xs,s,o)}var cn=T({pad_:qK});function KK(r,t,e=0){return E(t.length===2,()=>\"Invalid number of paddings. Must be length of 2.\"),cn(r,[t],e)}var t_=T({pad1d_:KK});function jK(r,t,e=0){return E(t.length===2&&t[0].length===2&&t[1].length===2,()=>\"Invalid number of paddings. Must be length of 2 each.\"),cn(r,t,e)}var e_=T({pad2d_:jK});function XK(r,t,e=0){return E(t.length===3&&t[0].length===2&&t[1].length===2&&t[2].length===2,()=>\"Invalid number of paddings. Must be length of 2 each.\"),cn(r,t,e)}var r_=T({pad3d_:XK});function YK(r,t,e=0){return E(t.length===4&&t[0].length===2&&t[1].length===2&&t[2].length===2&&t[3].length===2,()=>\"Invalid number of paddings. Must be length of 2 each.\"),cn(r,t,e)}var n_=T({pad4d_:YK});function ZK(r,t,e){let n=I(r,\"x\",\"spaceToBatchND\");E(n.rank>=1+t.length,()=>`input rank ${n.rank} should be > than [blockShape] ${t.length}`),E(e.length===t.length,()=>`paddings.shape[0] ${e.length} must be equal to [blockShape] ${t.length}`),E(n.shape.reduce((i,a,u)=>u>0&&u<=t.length?i&&(a+e[u-1][0]+e[u-1][1])%t[u-1]===0:i,!0),()=>`input spatial dimensions ${n.shape.slice(1)} with paddings ${e.toString()} must be divisible by blockShapes ${t.toString()}`);let o={x:n},s={blockShape:t,paddings:e};return k.runKernel(xi,o,s)}var nu=T({spaceToBatchND_:ZK});function JK(r,t,e,n,o,s,i){o==null&&(o=[1,1]),s==null&&(s=1),n===0&&(n=\"valid\");let a=I(r,\"x\",\"maxPool\"),u=a,l=!1;a.rank===3&&(l=!0,u=R(a,[1,a.shape[0],a.shape[1],a.shape[2]])),E(Ar(s,o),()=>`Error in pool: Either strides or dilations must be 1. Got strides ${s} and dilations '${o}'`);let c=Y0(u.shape,t,s,o,n),p=[c.dilationHeight,c.dilationWidth],m;n===\"same\"?m=tj([c.filterHeight,c.filterWidth],p):m=[[0,0],[0,0]];let f=p[0]===1&&p[1]===1,[d,h]=QK([c.inHeight,c.inWidth],p,m),g=f?n:\"valid\",x=f?u:nu(u,p,d),w=(e===\"avg\"?()=>Yl(x,t,s,g,i):()=>ru(x,t,s,g,i))(),C=f?w:Zl(w,p,h);return l?R(C,[C.shape[1],C.shape[2],C.shape[3]]):C}function QK(r,t,e){let n=e.map(c=>c[0]),o=e.map(c=>c[1]),s=r.concat(n,o),i=t.map((c,p)=>(c-s[p]%c)%c),a=o.map((c,p)=>c+i[p]),u=t.map((c,p)=>[n[p],a[p]]),l=t.map((c,p)=>[0,i[p]]);return[u,l]}function tj(r,t){let n=r.map((i,a)=>i+(i-1)*(t[a]-1)).map(i=>i-1),o=n.map(i=>Math.floor(i/2)),s=n.map((i,a)=>i-o[a]);return n.map((i,a)=>[o[a],s[a]])}var jx=T({pool_:JK});function ej(r,t){let e=I(r,\"x\",\"prelu\"),n=I(t,\"alpha\",\"prelu\"),o={x:e,alpha:n};return k.runKernel(bs,o)}var ou=T({prelu_:ej});function rj(r,t=null,e=!1){let n=I(r,\"x\",\"prod\");n.dtype===\"bool\"&&(n=J(n,\"int32\"));let o={x:n},s={axis:t,keepDims:e};return k.runKernel(ws,o,s)}var Xx=T({prod_:rj});function nj(r,t,e,n){let o=r.map((c,p)=>I(c,`tensors${p}`,\"raggedGather\",\"int32\")),s=I(t,\"paramsDenseValues\",\"raggedGather\"),i=I(e,\"indices\",\"raggedGather\",\"int32\"),a={paramsNestedSplits:o,paramsDenseValues:s,indices:i},u={outputRaggedRank:n},l=k.runKernel(Ap,a,u);return{outputNestedSplits:l.slice(0,l.length-1),outputDenseValues:l[l.length-1]}}var o_=T({raggedGather_:nj});function oj(r,t,e){let n=I(r,\"starts\",\"raggedRange\"),o=I(t,\"limits\",\"raggedRange\",n.dtype),s=I(e,\"deltas\",\"raggedRange\",n.dtype),i={starts:n,limits:o,deltas:s},a=k.runKernel($p,i);return{rtNestedSplits:a[0],rtDenseValues:a[1]}}var s_=T({raggedRange_:oj});function sj(r,t,e,n,o){let s=I(r,\"shape\",\"raggedTensorToTensor\",\"int32\"),i=I(t,\"values\",\"raggedTensorToTensor\"),a=I(e,\"defaultValue\",\"raggedTensorToTensor\",i.dtype),u=n.map((p,m)=>I(p,`tensors${m}`,\"raggedTensorToTensor\",\"int32\")),l={shape:s,values:i,defaultValue:a,rowPartitionTensors:u},c={rowPartitionTypes:o};return k.runKernel(Dp,l,c)}var i_=T({raggedTensorToTensor_:sj});function ij(r,t,e){let n=Jt(r),o=null;if(e==null||e===\"float32\")o=new Float32Array(n);else if(e===\"int32\")o=new Int32Array(n);else if(e===\"bool\")o=new Uint8Array(n);else throw new Error(`Unknown data type ${e}`);for(let s=0;s=1||i===0);let a=Math.sqrt(-2*Math.log(i)/i);t=this.mean+this.stdDev*o*a,e=this.mean+this.stdDev*s*a,(!this.truncated||this.isValidTruncated(t))&&(n=!0)}return(!this.truncated||this.isValidTruncated(e))&&(this.nextVal=this.convertValue(e)),this.convertValue(t)}convertValue(t){return this.dtype==null||this.dtype===\"float32\"?t:Math.round(t)}isValidTruncated(t){return t<=this.upper&&t>=this.lower}},Zx=class{constructor(t,e,n,o){this.alpha=t,this.beta=1/e,this.dtype=n;let s=o||Math.random();this.randu=Qx.alea(s.toString()),this.randn=new Qu(0,1,n,!1,this.randu()),t<1?this.d=t+2/3:this.d=t-1/3,this.c=1/Math.sqrt(9*this.d)}nextValue(){let t,e,n,o,s,i;for(;;){do o=this.randn.nextValue(),i=1+this.c*o;while(i<=0);if(i*=i*i,t=o*o,e=1-.331*t*t,n=.5*t+this.d*(1-i+Math.log(i)),s=this.randu(),sthis.dtype==null||this.dtype===\"float32\",this.min=t,this.range=e-t,this.dtype=n,o==null&&(o=Math.random()),typeof o==\"number\"&&(o=o.toString()),!this.canReturnFloat()&&this.range<=1)throw new Error(`The difference between ${t} - ${e} <= 1 and dtype is not float`);this.random=Qx.alea(o)}convertValue(t){return this.canReturnFloat()?t:Math.round(t)}nextValue(){return this.convertValue(this.min+this.range*this.random())}};function fj(r,t,e=1,n=\"float32\",o){if(e==null&&(e=1),n==null&&(n=\"float32\"),n!==\"float32\"&&n!==\"int32\")throw new Error(`Unsupported data type ${n}`);let s=new Zx(t,e,n,o),i=wt(r,n);for(let a=0;a`Error in reverse1D: x must be rank 1 but got rank ${t.rank}.`),pr(t,0)}var T_=T({reverse1d_:Cj});function Ij(r,t){let e=I(r,\"x\",\"reverse\");return E(e.rank===2,()=>`Error in reverse2D: x must be rank 2 but got rank ${e.rank}.`),pr(e,t)}var k_=T({reverse2d_:Ij});function Sj(r,t){let e=I(r,\"x\",\"reverse\");return E(e.rank===3,()=>`Error in reverse3D: x must be rank 3 but got rank ${e.rank}.`),pr(e,t)}var E_=T({reverse3d_:Sj});function vj(r,t){let e=I(r,\"x\",\"reverse\");return E(e.rank===4,()=>`Error in reverse4D: x must be rank 4 but got rank ${e.rank}.`),pr(e,t)}var __=T({reverse4d_:vj});function Nj(r){let e={x:I(r,\"x\",\"round\")};return k.runKernel(Ts,e)}var um=T({round_:Nj});function Tj(r){let e={x:I(r,\"x\",\"rsqrt\",\"float32\")};return k.runKernel(ks,e)}var cm=T({rsqrt_:Tj});function kj(r){let e={x:I(r,\"x\",\"selu\")};return k.runKernel(Ma,e)}var pm=T({selu_:kj});function Ej(r,t,e,n,o,s=[1,1],i=\"NHWC\"){let a=I(r,\"x\",\"separableConv2d\"),u=I(t,\"depthwiseFilter\",\"separableConv2d\"),l=I(e,\"pointwiseFilter\",\"separableConv2d\"),c=a,p=!1;if(a.rank===3&&(p=!0,c=R(a,[1,a.shape[0],a.shape[1],a.shape[2]])),i===\"NCHW\")throw new Error(\"separableConv2d currently does not support dataFormat NCHW; only NHWC is supported\");E(c.rank===4,()=>`Error in separableConv2d: input must be rank 4, but got rank ${c.rank}.`),E(u.rank===4,()=>`Error in separableConv2d: depthwise filter must be rank 4, but got rank ${u.rank}.`),E(l.rank===4,()=>`Error in separableConv2d: pointwise filter must be rank 4, but got rank ${u.rank}.`),E(l.shape[0]===1,()=>`Error in separableConv2d: the first dimension of pointwise filter must be 1, but got ${l.shape[0]}.`),E(l.shape[1]===1,()=>`Error in separableConv2d: the second dimension of pointwise filter must be 1, but got ${l.shape[1]}.`);let m=u.shape[2],f=u.shape[3];E(l.shape[2]===m*f,()=>`Error in separableConv2d: the third dimension of pointwise filter must be ${m*f}, but got ${l.shape[2]}.`);let d=Fi(c,u,n,o,i,s),g=In(d,l,1,\"valid\",i);return p?R(g,[g.shape[1],g.shape[2],g.shape[3]]):g}var mm=T({separableConv2d_:Ej});async function _j(r,t){let e=I(r,\"x\",\"setdiff1d\"),n=I(t,\"y\",\"setdiff1d\");E(e.dtype===n.dtype,()=>`x and y should have the same dtype, but got x (${e.dtype}) and y (${n.dtype}).`),E(e.rank===1,()=>`x should be 1D tensor, but got x (${e.shape}).`),E(n.rank===1,()=>`y should be 1D tensor, but got y (${n.shape}).`);let o=await e.data(),s=await n.data(),i=new Set(s),a=0;for(let c=0;c`slice1d expects a rank-1 tensor, but got a rank-${n.rank} tensor`),Rt(n,[t],[e])}var hm=T({slice1d_:Rj});function Fj(r,t,e){let n=I(r,\"x\",\"slice2d\");return E(n.rank===2,()=>`slice2d expects a rank-2 tensor, but got a rank-${n.rank} tensor`),Rt(n,t,e)}var dh=T({slice2d_:Fj});function Oj(r,t,e){let n=I(r,\"x\",\"slice3d\");return E(n.rank===3,()=>`slice3d expects a rank-3 tensor, but got a rank-${n.rank} tensor`),Rt(n,t,e)}var gm=T({slice3d_:Oj});function Pj(r,t,e){let n=I(r,\"x\",\"slice4d\");return E(n.rank===4,()=>`slice4d expects a rank-4 tensor, but got a rank-${n.rank} tensor`),Rt(n,t,e)}var ec=T({slice4d_:Pj});function Lj(r,t=-1){let e=I(r,\"logits\",\"softmax\",\"float32\");if(t===-1&&(t=e.rank-1),t!==e.rank-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${e.rank} and dim was ${t}`);let n={logits:e},o={dim:t};return k.runKernel(Ds,n,o)}var iu=T({softmax_:Lj});function Mj(r){E(r.dtype===\"complex64\",()=>`The dtype for tf.spectral.fft() must be complex64 but got ${r.dtype}.`);let t={input:r};return k.runKernel(Cp,t)}var au=T({fft_:Mj});function zj(r){E(r.dtype===\"complex64\",()=>`The dtype for tf.spectral.ifft() must be complex64 but got ${r.dtype}.`);let t={input:r};return k.runKernel(Ip,t)}var tl=T({ifft_:zj});function Bj(r){let t=r.shape[r.shape.length-1],e=r.size/t,n;if(t<=2){let o=R(r,[e,t]);n=tl(o)}else{let o=[e,2*(t-1)],s=R(Za(r),[e,t]),i=R(Xl(r),[e,t]),a=pr(Rt(s,[0,1],[e,t-2]),1),u=D(pr(Rt(i,[0,1],[e,t-2]),1),mt(-1)),l=ne([s,a],1),c=ne([i,u],1),p=R(wn(l,c),[o[0],o[1]]);n=tl(p)}if(n=Za(n),r.rank===3&&r.shape[0]!==0){let o=n,s=r.shape[0];n=R(n,[s,n.shape[0]/s,n.shape[1]]),o.dispose()}return n}var xm=T({irfft_:Bj});function Vj(r,t,e=0){let o={x:I(r,\"x\",\"split\")},s={numOrSizeSplits:t,axis:e};return k.runKernel(yi,o,s)}var mr=T({split_:Vj});function Gj(r,t){E(r.dtype===\"float32\",()=>`The dtype for rfft() must be real value but got ${r.dtype}`);let e=r.shape[r.shape.length-1],n=r.size/e,o;if(t!=null&&t0),h=r.shape.map(g=>g);h[r.shape.length-1]=t,o=Rt(r,d,h),e=t}else if(t!=null&&t>e){let d=r.shape.map(h=>h);d[r.shape.length-1]=t-e,o=ne([r,Ne(d)],r.shape.length-1),e=t}else o=r;let s=It(o),i=R(wn(o,s),[n,e]),a=au(i),u=Math.floor(e/2)+1,l=Za(a),c=Xl(a),p=mr(l,[u,e-u],l.shape.length-1),m=mr(c,[u,e-u],c.shape.length-1),f=o.shape.slice();return f[o.shape.length-1]=u,R(wn(p[0],m[0]),f)}var lu=T({rfft_:Gj});function Wj(r,t){let e=I(r,\"a\",\"squaredDifference\"),n=I(t,\"b\",\"squaredDifference\");[e,n]=Ut(e,n),Pt(e.shape,n.shape);let o={a:e,b:n},s={};return k.runKernel(Rs,o,s)}var ym=T({squaredDifference_:Wj});function Uj(r,t){let e=I(r,\"x\",\"squeeze\",\"string_or_numeric\");return R(e,t0(e.shape,t).newShape)}var Mn=T({squeeze_:Uj});function Hj(r,t=0){let e=ja(r,\"tensors\",\"stack\",\"string_or_numeric\");E(e.length>=1,()=>\"Pass at least one tensor to tf.stack\"),e.length>0&&E(t<=e[0].rank,()=>\"Axis must be <= rank of the tensor\");let n=e,o={axis:t};return k.runKernel(fi,n,o)}var nr=T({stack_:Hj});function qj(r,t=0){let n={x:I(r,\"x\",\"step\")},o={alpha:t};return k.runKernel(po,n,o)}var bo=T({step_:qj});function Kj(r,t,e,n,o=0,s=0,i=0,a=0,u=0){let c={x:I(r,\"x\",\"stridedSlice\",\"string_or_numeric\")},p={begin:t,end:e,strides:n,beginMask:o,endMask:s,ellipsisMask:i,newAxisMask:a,shrinkAxisMask:u};return k.runKernel(Wa,c,p)}var ry=T({stridedSlice_:Kj});function jj(r){let e={x:I(r,\"x\",\"tan\",\"float32\")};return k.runKernel(Os,e)}var ny=T({tan_:jj});function Me(r,t){Yn(r);let e=Br(r,t);if(e.length!==1)throw new Error(\"tensor1d() requires values to be a flat/TypedArray\");return on(r,null,e,t)}function Vs(r,t,e){if(Yn(r),t!=null&&t.length!==2)throw new Error(\"tensor2d() requires shape to have two numbers\");let n=Br(r,e);if(n.length!==2&&n.length!==1)throw new Error(\"tensor2d() requires values to be number[][] or flat/TypedArray\");if(n.length===1&&t==null)throw new Error(\"tensor2d() requires shape to be provided when `values` are a flat/TypedArray\");return on(r,t,n,e)}function $_(r,t,e){if(Yn(r),t!=null&&t.length!==4)throw new Error(\"tensor4d() requires shape to have four numbers\");let n=Br(r,e);if(n.length!==4&&n.length!==1)throw new Error(\"tensor4d() requires values to be number[][][][] or flat/TypedArray\");if(n.length===1&&t==null)throw new Error(\"tensor4d() requires shape to be provided when `values` are a flat array\");return on(r,t,n,e)}function D_(r,t,e){if(Yn(r),t!=null&&t.length!==5)throw new Error(\"tensor5d() requires shape to have five numbers\");let n=Br(r,e);if(n.length!==5&&n.length!==1)throw new Error(\"tensor5d() requires values to be number[][][][][] or flat/TypedArray\");if(n.length===1&&t==null)throw new Error(\"tensor5d() requires shape to be provided when `values` are a flat array\");return on(r,t,n,e)}function R_(r,t,e){if(Yn(r),t!=null&&t.length!==6)throw new Error(\"tensor6d() requires shape to have six numbers\");let n=Br(r,e);if(n.length!==6&&n.length!==1)throw new Error(\"tensor6d() requires values to be number[][][][][][] or flat/TypedArray\");if(n.length===1&&t==null)throw new Error(\"tensor6d() requires shape to be provided when `values` are a flat array\");return t=t||n,on(r,t,n,e)}function Xj(r,t=1,e=!0){let n=I(r,\"x\",\"topk\");if(n.rank===0)throw new Error(\"topk() expects the input to be of rank 1 or higher\");let o=n.shape[n.shape.length-1];if(t<0)throw new Error(`'k' passed to topk() must be >= 0 but got ${t}`);if(t>o)throw new Error(`'k' passed to topk() must be <= the last dimension (${o}) but got ${t}`);let s={x:n},i={k:t,sorted:e},[a,u]=k.runKernel(Ua,s,i);return{values:a,indices:u}}var oy=T({topk_:Xj});function Yj(r,t=0,e=1,n,o){if(n!=null&&n===\"bool\")throw new Error(\"Unsupported data type $ { dtype }\");let s=new Qu(t,e,n,!0,o),i=wt(r,n);for(let a=0;a0,()=>\"The input tensor must be at least 1D\");let n={x:e},o={axis:t},[s,i]=k.runKernel(Mp,n,o);return{values:s,indices:i}}var sy=T({unique_:Zj});function Jj(r,t,e){let n=I(r,\"x\",\"unsortedSegmentSum\"),o=I(t,\"segmentIds\",\"unsortedSegmentSum\",\"int32\");E(na(e),()=>\"numSegments must be of dtype int\");let s={x:n,segmentIds:o},i={numSegments:e};return k.runKernel(Wl,s,i)}var wm=T({unsortedSegmentSum_:Jj});function Qj(r,t=0){let e=I(r,\"x\",\"unstack\",\"string_or_numeric\");E(t>=-e.shape.length&&t`Axis = ${t} is not in [-${e.shape.length}, ${e.shape.length})`);let n={value:e},o={axis:t};return k.runKernel(bi,n,o)}var vr=T({unstack_:Qj});function F_(r,t){return mh(r,t,\"right\")}function iy(r,t=!0,e,n){return k.makeVariable(r,t,e,n)}function ay(r,t){let e=[];for(let s=0;s0,()=>\"mask cannot be scalar\"),$e(a.slice(s,s+i),o.shape,\"mask's shape must match the first K dimensions of tensor's shape,\");let u=1;for(let h=s;h\"Shape mismatch in v and x\");let u=mt(1),l=ct(u,a),c=D(ct(i,s),l);if(o){E(n!=null,()=>\"When using zeroDebias: true, step is required.\");let p=I(n,\"step\",\"movingAverage\");c=pt(c,ct(u,an(a,p)))}return X(s,c)}var o6=T({movingAverage_:n6});function s6(r,t,e){let n=I(r,\"indices\",\"scatterND\",\"int32\"),o=I(t,\"updates\",\"scatterND\");sx(o,n,e);let s={indices:n,updates:o},i={shape:e};return k.runKernel(La,s,i)}var i6=T({scatterND_:s6});function O_(r,t,e,n){if(r.dtype!==\"int32\")throw new Error(`tf.sparseToDense() expects the indices to be int32 type, but the dtype was ${r.dtype}.`);if(r.rank>2)throw new Error(`sparseIndices should be a scalar, vector, or matrix, but got shape ${r.shape}.`);let o=r.rank>0?r.shape[0]:1,s=r.rank>1?r.shape[1]:1;if(e.length!==s)throw new Error(`outputShape has incorrect number of elements:, ${e.length}, should be: ${s}.`);let i=t.size;if(!(t.rank===0||t.rank===1&&i===o))throw new Error(`sparseValues has incorrect shape ${t.shape}, should be [] or [${o}]`);if(t.dtype!==n.dtype)throw new Error(\"sparseValues.dtype must match defaultValues.dtype\")}function l6(r,t,e,n=0){let o=I(r,\"sparseIndices\",\"sparseToDense\",\"int32\"),s=I(t,\"sparseValues\",\"sparseToDense\",\"string_or_numeric\"),i=I(n,\"defaultValue\",\"sparseToDense\",s.dtype);O_(o,s,e,i);let a={sparseIndices:o,sparseValues:s,defaultValue:i},u={outputShape:e};return k.runKernel(Lp,a,u)}var u6=T({sparseToDense_:l6});function c6(r,t){let e=I(t,\"indices\",\"gatherND\",\"int32\"),o={params:I(r,\"x\",\"gatherND\",\"string_or_numeric\"),indices:e};return k.runKernel(wa,o)}var p6=T({gatherND_:c6});function P_(r,t){if(t==null)return r.shape.slice();if(Dn(r.shape,t))return t;if(r.shape.length===t.length){let e=[];for(let n=0;n`x has to be a floating point tensor since it's going to be scaled, but got a ${o.dtype} tensor instead.`),E(t>=0&&t<1,()=>`rate must be a float in the range [0, 1), but got ${t}.`),t===0)return r instanceof Ft?o.clone():o;let s=P_(o,e),i=1-t,a=pt(Pi(X(zi(s,0,1,\"float32\",n),i)),i);return D(o,a)}var lv=T({dropout_:m6});function uv(r){return Math.floor(Math.pow(2,Math.ceil(Math.log(r)/Math.log(2))))}function hh(r,t,e){let n=1-r%2,o=new Float32Array(r);for(let s=0;s1,()=>`inTopK() expects the predictions to be of rank 2 or higher, but got ${n.rank}`),E(n.rank-1===o.rank,()=>`predictions rank should be 1 larger than targets rank, but got predictions rank ${n.rank} and targets rank ${o.rank}`),$e(n.shape.slice(0,n.shape.length-1),o.shape,\"predictions's shape should be align with the targets' shape, except the last dimension.\");let s=n.shape[n.shape.length-1];E(e>0&&e<=s,()=>`'k' passed to inTopK() must be > 0 && <= the predictions last dimension (${s}), but got ${e}`);let i=await n.data(),a=await o.data(),[u,l]=[i.length/s,s],c=e0(\"bool\",u);for(let p=0;pg.value-h.value),c[p]=0;for(let h=0;hL_,depthwiseConv2d:()=>M_,matMul:()=>z_});function h6(r,t,e,n,o,s=\"NHWC\",i){let a=r;r.rank===3&&(a=R(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let u=t;u.rank===3&&(u=R(t,[1,t.shape[0],t.shape[1],t.shape[2]])),E(a.rank===4,()=>`Error in conv2dDerFilter: input must be rank 4, but got shape ${a.shape}.`),E(u.rank===4,()=>`Error in conv2dDerFilter: dy must be rank 4, but got shape ${u.shape}.`),E(e.length===4,()=>`Error in conv2dDerFilter: filterShape must be length 4, but got ${e}.`);let l=s===\"NHWC\"?a.shape[3]:a.shape[1],c=s===\"NHWC\"?u.shape[3]:u.shape[1];E(l===e[2],()=>`Error in conv2dDerFilter: depth of input ${l}) must match input depth in filter (${e[2]}.`),E(c===e[3],()=>`Error in conv2dDerFilter: depth of dy (${c}) must match output depth for filter (${e[3]}).`),Ie(\"conv2dDerFilter\",o,i);let p={x:a,dy:u},m={strides:n,pad:o,dataFormat:s,dimRoundingMode:i,filterShape:e};return k.runKernel(mp,p,m)}var Cm=T({conv2DBackpropFilter_:h6});function rc(r,t,e){if(e==null||e===\"linear\")return r;if(e===\"relu\")return D(r,bo(t));throw new Error(`Cannot compute gradient for fused activation ${e}.`)}function nc(r,t){let e=t,n=ge(r.shape,t.shape);return n.length>0&&(e=ft(e,n)),R(e,r.shape)}function oc(r,t,e,n){if(t===\"linear\")return r;if(t===\"relu\")return Fr(r);if(t===\"elu\")return Oi(r);if(t===\"relu6\")return lm(r);if(t===\"prelu\")return ou(r,e);if(t===\"leakyrelu\")return Ql(r,n);if(t===\"sigmoid\")return Yr(r);throw new Error(`Unknown fused activation ${t}.`)}var sc=(r,t)=>!(r>0)||t===\"linear\";function g6({x:r,filter:t,strides:e,pad:n,dataFormat:o=\"NHWC\",dilations:s=[1,1],dimRoundingMode:i,bias:a,activation:u=\"linear\",preluActivationWeights:l,leakyreluAlpha:c}){if(u=u||\"linear\",sc(k.state.gradientDepth,u)===!1){E(o===\"NHWC\",()=>`Error in fused conv2d: got dataFormat of ${o} but only NHWC is currently supported for the case of gradient depth is 0 and the activation is not linear.`);let _=In(r,t,e,n,o,s,i);return a!=null&&(_=X(_,a)),oc(_,u,l,c)}let p=I(r,\"x\",\"conv2d\",\"float32\"),m=I(t,\"filter\",\"conv2d\",\"float32\"),f=p,d=!1;p.rank===3&&(d=!0,f=R(p,[1,p.shape[0],p.shape[1],p.shape[2]])),E(f.rank===4,()=>`Error in fused conv2d: input must be rank 4, but got rank ${f.rank}.`),E(m.rank===4,()=>`Error in fused conv2d: filter must be rank 4, but got rank ${m.rank}.`),Ie(\"fused conv2d\",n,i);let h=o===\"NHWC\"?f.shape[3]:f.shape[1];E(m.shape[2]===h,()=>`Error in conv2d: depth of input (${h}) must match input depth for filter ${m.shape[2]}.`),E(Ar(e,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${e} and dilations '${s}'`);let g=ju(f.shape,m.shape,e,s,n,i),x;a!=null&&(x=I(a,\"bias\",\"fused conv2d\"),[x]=Ut(x,p),o===\"NHWC\"?Pt(g.outShape,x.shape):(E(x.shape.length<=1,()=>`Error in fused conv2d: only supports scalar or 1-D Tensor bias for NCHW format but got the bias of rank-${x.shape.length}.`),E(x.shape.length===0||x.shape[0]===g.outChannels||x.shape[0]===1,()=>`Error in fused conv2d: bias shape (${x.shape}) is not compatible with the number of output channels (${g.outChannels})`)));let b;if(l!=null){let _=l.shape;if(E(_.length<=1||_.length===3,()=>`Error in fused conv2d: only supports scalar, 1-D Tensor or 3-D Tensor PReLU activation weights but got a tensor of rank-${_.length}.`),_.length===1)E(_[0]===1||_[0]===g.outChannels,()=>`Error in fused conv2d: PReLU activation weights (${_}) is not compatible with the number of output channels (${g.outChannels}).`);else if(_.length===3)try{Pt(_,g.outShape)}catch(A){let $=`Error in fused conv2d: PReLU activation weights (${_}) is not compatible with the output shape of the conv2d (${g.outShape}).`;throw Error($)}b=I(l,\"prelu weights\",\"fused conv2d\")}let w=(_,A)=>{E(o===\"NHWC\",()=>`Error in gradient of fused conv2D: got dataFormat of ${o} but only NHWC is currently supported.`);let[$,F,P,V]=A,G=rc(_,P,u);E(to(s),()=>`Error in gradient of fused conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`);let W=tm(F.shape,G,$,e,n),q=Cm(F,G,$.shape,e,n),H=[W,q];if(V!=null){let j=nc(V,G);H.push(j)}return H},C={x:f,filter:m,bias:x,preluActivationWeights:b},N={strides:e,pad:n,dataFormat:o,dilations:s,dimRoundingMode:i,activation:u,leakyreluAlpha:c};return a==null?un((A,$,F)=>{let P=k.runKernel(Ii,C,N);return F([$,A,P]),d&&(P=R(P,[P.shape[1],P.shape[2],P.shape[3]])),{value:P,gradFunc:w}})(f,m):un((A,$,F,P)=>{let V=k.runKernel(Ii,C,N);return P([$,A,V,F]),d&&(V=R(V,[V.shape[1],V.shape[2],V.shape[3]])),{value:V,gradFunc:w}})(f,m,x)}var L_=T({fusedConv2d_:g6});function x6(r,t,e,n,o,s=[1,1],i){let a=r;r.rank===3&&(a=R(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let u=t;u.rank===3&&(u=R(t,[1,t.shape[0],t.shape[1],t.shape[2]]));let l={x:a,dy:u},c={strides:n,pad:o,dimRoundingMode:i,dilations:s,filterShape:e};return k.runKernel(gp,l,c)}var uy=T({depthwiseConv2dNativeBackpropFilter_:x6});function y6(r,t,e,n,o,s=[1,1],i){let a=t,u=!1;t.rank===3&&(u=!0,a=R(t,[1,t.shape[0],t.shape[1],t.shape[2]]));let l={dy:a,filter:e},c={strides:n,pad:o,dimRoundingMode:i,dilations:s,inputShape:r},p=k.runKernel(xp,l,c);return u?R(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var cy=T({depthwiseConv2dNativeBackpropInput_:y6});function b6({x:r,filter:t,strides:e,pad:n,dataFormat:o=\"NHWC\",dilations:s=[1,1],dimRoundingMode:i,bias:a,activation:u=\"linear\",preluActivationWeights:l,leakyreluAlpha:c}){if(sc(k.state.gradientDepth,u)===!1){let N=Fi(r,t,e,n,o,s,i);return a!=null&&(N=X(N,a)),oc(N,u,l,c)}let p=I(r,\"x\",\"depthwiseConv2d\",\"float32\"),m=I(t,\"filter\",\"depthwiseConv2d\",\"float32\"),f=p,d=!1;p.rank===3&&(d=!0,f=R(p,[1,p.shape[0],p.shape[1],p.shape[2]])),E(f.rank===4,()=>`Error in fused depthwiseConv2d: input must be rank 4, but got rank ${f.rank}.`),E(m.rank===4,()=>`Error in fused depthwiseConv2d: filter must be rank 4, but got rank ${m.rank}.`),E(f.shape[3]===m.shape[2],()=>`Error in fused depthwiseConv2d: number of input channels (${f.shape[3]}) must match the inChannels dimension in filter ${m.shape[2]}.`),s==null&&(s=[1,1]),E(Ar(e,s),()=>`Error in fused depthwiseConv2d: Either strides or dilations must be 1. Got strides ${e} and dilations '${s}'`),Ie(\"fused depthwiseConv2d\",n,i);let h=ju(f.shape,m.shape,e,s,n,i,!0),g;a!=null&&(g=I(a,\"bias\",\"fused conv2d\"),[g]=Ut(g,p),Pt(h.outShape,g.shape));let x;l!=null&&(x=I(l,\"prelu weights\",\"fused depthwiseConv2d\"));let b=(N,_)=>{E(to(s),()=>`Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '${s}'`);let[A,$,F,P]=_,V=rc(N,F,u),G=cy($.shape,V,A,e,n,s,i),W=uy($,V,A.shape,e,n,s,i);if(P!=null){let q=nc(g,V);return[G,W,q]}return[G,W]},w={x:f,filter:m,bias:g,preluActivationWeights:x},C={strides:e,pad:n,dataFormat:o,dilations:s,dimRoundingMode:i,activation:u,leakyreluAlpha:c};return a==null?un((_,A,$)=>{let F=k.runKernel(Si,w,C);return $([A,_,F]),d&&(F=R(F,[F.shape[1],F.shape[2],F.shape[3]])),{value:F,gradFunc:b}})(f,m):un((_,A,$,F)=>{let P=k.runKernel(Si,w,C);return F([A,_,P,$]),d&&(P=R(P,[P.shape[1],P.shape[2],P.shape[3]])),{value:P,gradFunc:b}})(f,m,g)}var M_=T({fusedDepthwiseConv2d_:b6});function w6({a:r,b:t,transposeA:e=!1,transposeB:n=!1,bias:o,activation:s=\"linear\",preluActivationWeights:i,leakyreluAlpha:a=.2}){if(sc(k.state.gradientDepth,s)===!1){let V=Lt(r,t,e,n);return o!=null&&(V=X(V,o)),oc(V,s,i,a)}let u=I(r,\"a\",\"fused matMul\"),l=I(t,\"b\",\"fused matMul\");[u,l]=Ut(u,l);let c=e?u.shape[u.rank-2]:u.shape[u.rank-1],p=n?l.shape[l.rank-1]:l.shape[l.rank-2],m=e?u.shape[u.rank-1]:u.shape[u.rank-2],f=n?l.shape[l.rank-2]:l.shape[l.rank-1],d=u.shape.slice(0,-2),h=l.shape.slice(0,-2),g=Jt(d),x=Jt(h);E(c===p,()=>`Error in fused matMul: inner shapes (${c}) and (${p}) of Tensors with shapes ${u.shape} and ${l.shape} and transposeA=${e} and transposeB=${n} must match.`);let w=Pt(u.shape.slice(0,-2),l.shape.slice(0,-2)).concat([m,f]),C=e?R(u,[g,c,m]):R(u,[g,m,c]),N=n?R(l,[x,f,p]):R(l,[x,p,f]),_;o!=null&&(_=I(o,\"bias\",\"fused matMul\"),[_]=Ut(_,u),Pt(w,_.shape));let A;i!=null&&(A=I(i,\"prelu weights\",\"fused matMul\"));let $=(V,G)=>{let[W,q,H,j]=G,Y=rc(R(V,H.shape),H,s),Z,et;if(!e&&!n?(Z=Lt(Y,q,!1,!0),et=Lt(W,Y,!0,!1)):!e&&n?(Z=Lt(Y,q,!1,!1),et=Lt(Y,W,!0,!1)):e&&!n?(Z=Lt(q,Y,!1,!0),et=Lt(W,Y,!1,!1)):(Z=Lt(q,Y,!0,!0),et=Lt(Y,W,!0,!0)),o!=null){let rt=nc(j,Y);return[Z,et,rt]}else return[Z,et]},F={a:C,b:N,bias:_,preluActivationWeights:A},P={transposeA:e,transposeB:n,activation:s,leakyreluAlpha:a};return o==null?un((G,W,q)=>{let H=k.runKernel(Ci,F,P);return q([G,W,H]),{value:R(H,w),gradFunc:$}})(C,N):un((G,W,q,H)=>{let j=k.runKernel(Ci,F,P);return H([G,W,j,q]),{value:R(j,w),gradFunc:$}})(C,N,_)}var z_=T({fusedMatMul_:w6});function C6(r){return hh(r,.54,.46)}var B_=T({hammingWindow_:C6});function I6(r){return hh(r,.5,.5)}var py=T({hannWindow_:I6});function S6(r,t,e,n=!1,o=0){let s=0,i=[];for(;s+t<=r.size;)i.push(Rt(r,s,t)),s+=e;if(n)for(;s`Error in cropAndResize: image must be rank 4,but got rank ${i.rank}.`),E(a.rank===2&&a.shape[1]===4,()=>`Error in cropAndResize: boxes must be have size [${l},4] but had shape ${a.shape}.`),E(u.rank===1&&u.shape[0]===l,()=>`Error in cropAndResize: boxInd must be have size [${l}] but had shape ${a.shape}.`),E(n.length===2,()=>`Error in cropAndResize: cropSize must be of length 2, but got length ${n.length}.`),E(n[0]>=1&&n[1]>=1,()=>`cropSize must be atleast [1,1], but was ${n}`),E(o===\"bilinear\"||o===\"nearest\",()=>`method must be bilinear or nearest, but was ${o}`);let c={image:i,boxes:a,boxInd:u},p={method:o,extrapolationValue:s,cropSize:n};return k.runKernel(da,c,p)}var G_=T({cropAndResize_:N6});function T6(r){let t=I(r,\"image\",\"flipLeftRight\",\"float32\");E(t.rank===4,()=>`Error in flipLeftRight: image must be rank 4,but got rank ${t.rank}.`);let e={image:t};return k.runKernel(ba,e,{})}var W_=T({flipLeftRight_:T6});function k6(r){let t=I(r,\"image\",\"grayscaleToRGB\"),e=t.rank-1,n=t.shape[e];E(t.rank>=2,()=>`Error in grayscaleToRGB: images must be at least rank 2, but got rank ${t.rank}.`),E(n===1,()=>`Error in grayscaleToRGB: last dimension of a grayscale image should be size 1, but got size ${n}.`);let o=new Array(t.rank);return o.fill(1,0,e),o[e]=3,Dr(t,o)}var U_=T({grayscaleToRGB_:k6});function E6(r,t,e=0,n=.5){let o=I(r,\"image\",\"rotateWithOffset\",\"float32\");E(o.rank===4,()=>`Error in rotateWithOffset: image must be rank 4,but got rank ${o.rank}.`);let s={image:o},i={radians:t,fillValue:e,center:n};return k.runKernel(qa,s,i)}var H_=T({rotateWithOffset_:E6});function wo(r,t,e,n,o,s){n==null&&(n=.5),o==null&&(o=Number.NEGATIVE_INFINITY),s==null&&(s=0);let i=r.shape[0];return e=Math.min(e,i),E(0<=n&&n<=1,()=>`iouThreshold must be in [0, 1], but was '${n}'`),E(r.rank===2,()=>`boxes must be a 2D tensor, but was of rank '${r.rank}'`),E(r.shape[1]===4,()=>`boxes must have 4 columns, but 2nd dimension was ${r.shape[1]}`),E(t.rank===1,()=>\"scores must be a 1D tensor\"),E(t.shape[0]===i,()=>`scores has incompatible shape with boxes. Expected ${i}, but was ${t.shape[0]}`),E(0<=s&&s<=1,()=>`softNmsSigma must be in [0, 1], but was '${s}'`),{maxOutputSize:e,iouThreshold:n,scoreThreshold:o,softNmsSigma:s}}function _6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY){let s=I(r,\"boxes\",\"nonMaxSuppression\",\"float32\"),i=I(t,\"scores\",\"nonMaxSuppression\",\"float32\"),a=wo(s,i,e,n,o);e=a.maxOutputSize,n=a.iouThreshold,o=a.scoreThreshold;let u={maxOutputSize:e,iouThreshold:n,scoreThreshold:o};return k.runKernel(Ra,{boxes:s,scores:i},u)}var q_=T({nonMaxSuppression_:_6});function K_(r,t,e){let n=A6(r,t,e),o=n<0?-(n+1):n;r.splice(o,0,t)}function A6(r,t,e){return D6(r,t,e||$6)}function $6(r,t){return r>t?1:r>>1);let a=e(t,r[s]);a>0?n=s+1:(o=s,i=!a)}return i?n:-n-1}function fy(r,t,e,n,o){return cv(r,t,e,n,o,0)}function dy(r,t,e,n,o,s){return cv(r,t,e,n,o,0,!1,s,!0)}function hy(r,t,e,n,o,s){return cv(r,t,e,n,o,s,!0)}function cv(r,t,e,n,o,s,i=!1,a=!1,u=!1){let l=[];for(let g=0;go&&l.push({score:t[g],boxIndex:g,suppressBeginIndex:0});l.sort(j_);let c=s>0?-.5/s:0,p=[],m=[];for(;p.length0;){let g=l.pop(),{score:x,boxIndex:b,suppressBeginIndex:w}=g;if(x=w;--N){let _=R6(r,b,p[N]);if(_>=n){C=!0;break}if(g.score=g.score*F6(n,c,_),g.score<=o)break}g.suppressBeginIndex=p.length,C||(g.score===x?(p.push(b),m.push(g.score)):g.score>o&&K_(l,g,j_))}let f=p.length,d=e-f;a&&d>0&&(p.push(...new Array(d).fill(0)),m.push(...new Array(d).fill(0)));let h={selectedIndices:p};return i&&(h.selectedScores=m),u&&(h.validOutputs=f),h}function R6(r,t,e){let n=r.subarray(t*4,t*4+4),o=r.subarray(e*4,e*4+4),s=Math.min(n[0],n[2]),i=Math.min(n[1],n[3]),a=Math.max(n[0],n[2]),u=Math.max(n[1],n[3]),l=Math.min(o[0],o[2]),c=Math.min(o[1],o[3]),p=Math.max(o[0],o[2]),m=Math.max(o[1],o[3]),f=(a-s)*(u-i),d=(p-l)*(m-c);if(f<=0||d<=0)return 0;let h=Math.max(s,l),g=Math.max(i,c),x=Math.min(a,p),b=Math.min(u,m),w=Math.max(x-h,0)*Math.max(b-g,0);return w/(f+d-w)}function F6(r,t,e){let n=Math.exp(t*e*e);return e<=r?n:0}function j_(r,t){return r.score-t.score||r.score===t.score&&t.boxIndex-r.boxIndex}async function O6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY){let s=I(r,\"boxes\",\"nonMaxSuppressionAsync\"),i=I(t,\"scores\",\"nonMaxSuppressionAsync\"),a=wo(s,i,e,n,o);e=a.maxOutputSize,n=a.iouThreshold,o=a.scoreThreshold;let u=await Promise.all([s.data(),i.data()]),l=u[0],c=u[1],{selectedIndices:p}=fy(l,c,e,n,o);return s!==r&&s.dispose(),i!==t&&i.dispose(),Me(p,\"int32\")}var X_=O6;function P6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY,s=0){let i=I(r,\"boxes\",\"nonMaxSuppression\"),a=I(t,\"scores\",\"nonMaxSuppression\"),u=wo(i,a,e,n,o,s);e=u.maxOutputSize,n=u.iouThreshold,o=u.scoreThreshold,s=u.softNmsSigma;let l={boxes:i,scores:a},c={maxOutputSize:e,iouThreshold:n,scoreThreshold:o,softNmsSigma:s},p=k.runKernel(Oa,l,c);return{selectedIndices:p[0],selectedScores:p[1]}}var Y_=T({nonMaxSuppressionWithScore_:P6});async function L6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY,s=0){let i=I(r,\"boxes\",\"nonMaxSuppressionAsync\"),a=I(t,\"scores\",\"nonMaxSuppressionAsync\"),u=wo(i,a,e,n,o,s);e=u.maxOutputSize,n=u.iouThreshold,o=u.scoreThreshold,s=u.softNmsSigma;let l=await Promise.all([i.data(),a.data()]),c=l[0],p=l[1],{selectedIndices:m,selectedScores:f}=hy(c,p,e,n,o,s);return i!==r&&i.dispose(),a!==t&&a.dispose(),{selectedIndices:Me(m,\"int32\"),selectedScores:Me(f)}}var Z_=L6;function M6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY,s=!1){let i=I(r,\"boxes\",\"nonMaxSuppression\"),a=I(t,\"scores\",\"nonMaxSuppression\"),u=wo(i,a,e,n,o,null),l=u.maxOutputSize,c=u.iouThreshold,p=u.scoreThreshold,m={boxes:i,scores:a},f={maxOutputSize:l,iouThreshold:c,scoreThreshold:p,padToMaxOutputSize:s},d=k.runKernel(Fa,m,f);return{selectedIndices:d[0],validOutputs:d[1]}}var J_=T({nonMaxSuppressionPadded_:M6});async function z6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY,s=!1){let i=I(r,\"boxes\",\"nonMaxSuppressionAsync\"),a=I(t,\"scores\",\"nonMaxSuppressionAsync\"),u=wo(i,a,e,n,o,null),l=u.maxOutputSize,c=u.iouThreshold,p=u.scoreThreshold,[m,f]=await Promise.all([i.data(),a.data()]),{selectedIndices:d,validOutputs:h}=dy(m,f,l,c,p,s);return i!==r&&i.dispose(),a!==t&&a.dispose(),{selectedIndices:Me(d,\"int32\"),validOutputs:mt(h,\"int32\")}}var Q_=z6;function B6(r,t,e=!1,n=!1){let o=I(r,\"images\",\"resizeBilinear\");E(o.rank===3||o.rank===4,()=>`Error in resizeBilinear: x must be rank 3 or 4, but got rank ${o.rank}.`),E(t.length===2,()=>`Error in resizeBilinear: new shape must 2D, but got shape ${t}.`),E(n===!1||e===!1,()=>\"Error in resizeBilinear: If halfPixelCenters is true, alignCorners must be false.\");let s=o,i=!1;o.rank===3&&(i=!0,s=R(o,[1,o.shape[0],o.shape[1],o.shape[2]]));let[]=t,a={images:s},u={alignCorners:e,halfPixelCenters:n,size:t},l=k.runKernel(Ss,a,u);return i?R(l,[l.shape[1],l.shape[2],l.shape[3]]):l}var gy=T({resizeBilinear_:B6});function V6(r,t,e=!1,n=!1){let o=I(r,\"images\",\"resizeNearestNeighbor\");E(o.rank===3||o.rank===4,()=>`Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank ${o.rank}.`),E(t.length===2,()=>`Error in resizeNearestNeighbor: new shape must 2D, but got shape ${t}.`),E(o.dtype===\"float32\"||o.dtype===\"int32\",()=>\"`images` must have `int32` or `float32` as dtype\"),E(n===!1||e===!1,()=>\"Error in resizeNearestNeighbor: If halfPixelCenters is true, alignCorners must be false.\");let s=o,i=!1;o.rank===3&&(i=!0,s=R(o,[1,o.shape[0],o.shape[1],o.shape[2]]));let[]=t,a={images:s},u={alignCorners:e,halfPixelCenters:n,size:t},l=k.runKernel(Is,a,u);return i?R(l,[l.shape[1],l.shape[2],l.shape[3]]):l}var xy=T({resizeNearestNeighbor_:V6});function G6(r,t=\"binary\",e=!1,n=.5){let o=I(r,\"image\",\"threshold\"),s=.2989,i=.587,a=.114,u=o.shape[0]*o.shape[1],l=D(Me([n]),255),c,p,m,f;if(E(o.rank===3,()=>`Error in threshold: image must be rank 3,but got rank ${o.rank}.`),E(o.shape[2]===3||o.shape[2]===1,()=>`Error in threshold: image color channel must be equal to 3 or 1but got ${o.shape[2]}.`),E(o.dtype===\"int32\"||o.dtype===\"float32\",()=>`Error in dtype: image dtype must be int32 or float32,but got dtype ${o.dtype}.`),E(t===\"otsu\"||t===\"binary\",()=>`Method must be binary or otsu, but was ${t}`),o.shape[2]===3){[c,p,m]=mr(o,[1,1,1],-1);let g=D(c,s),x=D(p,i),b=D(m,a);f=X(X(g,x),b)}else f=r;if(t===\"otsu\"){let g=wx(J(um(f),\"int32\"),ur([]),256);l=W6(g,u)}let d=e?Ln(f,l):Re(f,l);return J(D(d,255),\"int32\")}function W6(r,t){let e=Me([-1]),n=Me([0]),o=Me([0]),s,i,a,u,l,c;for(let p=0;p`Error in transform: image must be rank 4,but got rank ${i.rank}.`),E(a.rank===2&&(a.shape[0]===i.shape[0]||a.shape[0]===1)&&a.shape[1]===8,()=>\"Error in transform: Input transform should be batch x 8 or 1 x 8\"),E(s==null||s.length===2,()=>`Error in transform: outputShape must be [height, width] or null, but got ${s}.`);let u={image:i,transforms:a},l={interpolation:e,fillMode:n,fillValue:o,outputShape:s};return k.runKernel(Ha,u,l)}var eA=T({transform_:U6});function H6(r,t,e){E(t%1===0,()=>`bandPart(): numLower must be an integer, got ${t}.`),E(e%1===0,()=>`bandPart(): numUpper must be an integer, got ${e}.`);let n=I(r,\"a\",\"bandPart\");E(n.rank>=2,()=>`bandPart(): Rank must be at least 2, got ${n.rank}.`);let o=n.shape,[s,i]=n.shape.slice(-2);if(!(t<=s))throw new Error(`bandPart(): numLower (${t}) must not be greater than the number of rows (${s}).`);if(!(e<=i))throw new Error(`bandPart(): numUpper (${e}) must not be greater than the number of columns (${i}).`);t<0&&(t=s),e<0&&(e=i);let a=R(su(0,s,1,\"int32\"),[-1,1]),u=su(0,i,1,\"int32\"),l=ct(a,u),c=Rr(Ln(l,mt(+t,\"int32\")),ln(l,mt(-e,\"int32\"))),p=Ne([s,i],n.dtype);return R(nr(vr(R(n,[-1,s,i])).map(m=>_e(c,m,p))),o)}var rA=T({bandPart_:H6});function q6(r){let t;if(Array.isArray(r)){t=!1,E(r!=null&&r.length>0,()=>\"Gram-Schmidt process: input must not be null, undefined, or empty\");let o=r[0].shape[0];for(let s=1;s`Gram-Schmidt: Non-unique lengths found in the input vectors: (${r[s].shape[0]} vs. ${o})`)}else t=!0,r=mr(r,r.shape[0],0).map(o=>Mn(o,[0]));E(r.length<=r[0].shape[0],()=>`Gram-Schmidt: Number of vectors (${r.length}) exceeds number of dimensions (${r[0].shape[0]}).`);let e=[],n=r;for(let o=0;o{let s=n[o];if(o>0)for(let i=0;i=2,()=>`qr() requires input tensor to have a rank >= 2, but got rank ${r.rank}`),r.rank===2)return oA(r,t);{let e=r.shape.slice(0,r.shape.length-2).reduce((u,l)=>u*l),n=vr(R(r,[e,r.shape[r.shape.length-2],r.shape[r.shape.length-1]]),0),o=[],s=[];n.forEach(u=>{let[l,c]=oA(u,t);o.push(l),s.push(c)});let i=R(nr(o,0),r.shape),a=R(nr(s,0),r.shape);return[i,a]}}function oA(r,t=!1){return k.tidy(()=>{E(r.shape.length===2,()=>`qr2d() requires a 2D Tensor, but got a ${r.shape.length}D Tensor.`);let e=r.shape[0],n=r.shape[1],o=Yu(e),s=sn(r),i=Vs([[1]],[1,1]),a=sn(i),u=e>=n?n:e;for(let l=0;l{let f=Rt(s,[l,l],[e-l,1]),d=Qa(f),h=Rt(s,[l,l],[1,1]),g=_e(Re(h,0),Vs([[-1]]),Vs([[1]])),x=ct(h,D(g,d)),b=pt(f,x);b.shape[0]===1?a=sn(i):a=ne([i,Rt(b,[1,0],[b.shape[0]-1,b.shape[1]])],0);let w=Ht(pt(Lt(g,x),d)),C=Rt(s,[l,0],[e-l,n]),N=D(w,a),_=Ot(a);if(l===0)s=ct(C,Lt(N,Lt(_,C)));else{let F=ct(C,Lt(N,Lt(_,C)));s=ne([Rt(s,[0,0],[l,n]),F],0)}let A=Ot(N),$=Rt(o,[0,l],[e,o.shape[1]-l]);if(l===0)o=ct($,Lt(Lt($,a),A));else{let F=ct($,Lt(Lt($,a),A));o=ne([Rt(o,[0,0],[e,l]),F],1)}return[a,s,o]}),vt([c,p,m])}return!t&&e>n&&(o=Rt(o,[0,0],[e,n]),s=Rt(s,[0,0],[n,n])),[o,s]})}var sA=T({qr_:K6});var Xe;(function(r){r[r.NONE=0]=\"NONE\",r[r.MEAN=1]=\"MEAN\",r[r.SUM=2]=\"SUM\",r[r.SUM_BY_NONZERO_WEIGHTS=3]=\"SUM_BY_NONZERO_WEIGHTS\"})(Xe||(Xe={}));function j6(r,t,e=Xe.SUM_BY_NONZERO_WEIGHTS){let n=I(r,\"losses\",\"computeWeightedLoss\"),o=null;t!=null&&(o=I(t,\"weights\",\"computeWeightedLoss\"));let s=o==null?n:D(n,o);if(e===Xe.NONE)return s;if(e===Xe.SUM)return ft(s);if(e===Xe.MEAN){if(o==null)return ve(s);{let i=n.size/o.size,a=pt(ft(s),ft(o));return i>1?pt(a,mt(i)):a}}if(e===Xe.SUM_BY_NONZERO_WEIGHTS){if(o==null)return pt(ft(s),mt(n.size));{let i=D(o,cr(n.shape)),a=J(ft(Bs(i,mt(0))),\"float32\");return pt(ft(s),a)}}throw Error(`Unknown reduction: ${e}`)}var Gr=T({computeWeightedLoss_:j6});function X6(r,t,e,n=Xe.SUM_BY_NONZERO_WEIGHTS){let o=I(r,\"labels\",\"absoluteDifference\"),s=I(t,\"predictions\",\"absoluteDifference\"),i=null;e!=null&&(i=I(e,\"weights\",\"absoluteDifference\")),$e(o.shape,s.shape,\"Error in absoluteDifference: \");let a=Ee(ct(o,s));return Gr(a,i,n)}var iA=T({absoluteDifference_:X6});function Y6(r,t,e,n,o=Xe.SUM_BY_NONZERO_WEIGHTS){let s=I(r,\"labels\",\"cosineDistance\"),i=I(t,\"predictions\",\"cosineDistance\"),a=null;n!=null&&(a=I(n,\"weights\",\"cosineDistance\")),$e(s.shape,i.shape,\"Error in cosineDistance: \");let u=mt(1),l=ct(u,ft(D(s,i),e,!0));return Gr(l,a,o)}var aA=T({cosineDistance_:Y6});function Z6(r,t,e,n=Xe.SUM_BY_NONZERO_WEIGHTS){let o=I(r,\"labels\",\"hingeLoss\"),s=I(t,\"predictions\",\"hingeLoss\"),i=null;e!=null&&(i=I(e,\"weights\",\"hingeLoss\")),$e(o.shape,s.shape,\"Error in hingeLoss: \");let a=mt(1);o=ct(D(mt(2),o),a);let u=Fr(ct(a,D(o,s)));return Gr(u,i,n)}var lA=T({hingeLoss_:Z6});function J6(r,t,e,n=1,o=Xe.SUM_BY_NONZERO_WEIGHTS){let s=I(r,\"labels\",\"huberLoss\"),i=I(t,\"predictions\",\"huberLoss\"),a=null;e!=null&&(a=I(e,\"weights\",\"huberLoss\")),$e(s.shape,i.shape,\"Error in huberLoss: \");let u=mt(n),l=Ee(ct(i,s)),c=Mi(l,u),p=ct(l,c),m=X(D(mt(.5),Mt(c)),D(u,p));return Gr(m,a,o)}var uA=T({huberLoss_:J6});function Q6(r,t,e,n=1e-7,o=Xe.SUM_BY_NONZERO_WEIGHTS){let s=I(r,\"labels\",\"logLoss\"),i=I(t,\"predictions\",\"logLoss\"),a=null;e!=null&&(a=I(e,\"weights\",\"logLoss\")),$e(s.shape,i.shape,\"Error in logLoss: \");let u=mt(1),l=mt(n),c=Ht(D(s,Sr(X(i,l)))),p=D(ct(u,s),Sr(X(ct(u,i),l))),m=ct(c,p);return Gr(m,a,o)}var cA=T({logLoss_:Q6});function tX(r,t,e,n=Xe.SUM_BY_NONZERO_WEIGHTS){let o=I(r,\"labels\",\"meanSquaredError\"),s=I(t,\"predictions\",\"meanSquaredError\"),i=null;e!=null&&(i=I(e,\"weights\",\"meanSquaredError\")),$e(o.shape,s.shape,\"Error in meanSquaredError: \");let a=ym(o,s);return Gr(a,i,n)}var pA=T({meanSquaredError_:tX});function eX(r,t){let e=I(r,\"labels\",\"sigmoidCrossEntropyWithLogits\"),n=I(t,\"logits\",\"sigmoidCrossEntropyWithLogits\");$e(e.shape,n.shape,\"Error in sigmoidCrossEntropyWithLogits: \");let o=Fr(n),s=D(n,e),i=tu(er(Ht(Ee(n))));return X(ct(o,s),i)}function rX(r,t,e,n=0,o=Xe.SUM_BY_NONZERO_WEIGHTS){let s=I(r,\"multiClassLabels\",\"sigmoidCrossEntropy\"),i=I(t,\"logits\",\"sigmoidCrossEntropy\"),a=null;if(e!=null&&(a=I(e,\"weights\",\"sigmoidCrossEntropy\")),$e(s.shape,i.shape,\"Error in sigmoidCrossEntropy: \"),n>0){let l=mt(n),c=mt(1),p=mt(.5);s=X(D(s,ct(c,l)),D(p,l))}let u=eX(s,i);return Gr(u,a,o)}var mA=T({sigmoidCrossEntropy_:rX});function nX(r,t,e=-1){if(e===-1&&(e=t.rank-1),e!==t.rank-1)throw Error(`Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank ${t.rank} and dim was ${e}`);return un((o,s,i)=>{let u=im(s,[e],!0),l=ct(J(s,\"float32\"),u);i([o,l]);let c=Ht(D(l,o));return{value:ft(c,[e]),gradFunc:(f,d)=>{let[h,g]=d,x=yo(f.shape,[e]);return[D(R(f,x),ct(J(h,\"float32\"),er(g))),D(R(f,x),ct(er(g),J(h,\"float32\")))]}}})(r,t)}function oX(r,t,e,n=0,o=Xe.SUM_BY_NONZERO_WEIGHTS){let s=I(r,\"onehotLabels\",\"softmaxCrossEntropy\"),i=I(t,\"logits\",\"softmaxCrossEntropy\"),a=null;if(e!=null&&(a=I(e,\"weights\",\"softmaxCrossEntropy\")),$e(s.shape,i.shape,\"Error in softmaxCrossEntropy: \"),n>0){let l=mt(n),c=mt(1),p=mt(s.shape[1]);s=X(D(s,ct(c,l)),pt(l,p))}let u=nX(s,i);return Gr(u,a,o)}var fA=T({softmaxCrossEntropy_:oX});function sX(r,t,e,n){let o=I(r,\"indices\",\"sparseFillEmptyRows\",\"int32\"),s=I(t,\"values\",\"sparseFillEmptyRows\"),i=I(e,\"denseShape\",\"sparseFillEmptyRows\",\"int32\"),a=I(n,\"defaultValue\",\"sparseFillEmptyRows\",s.dtype);if(o.rank!==2)throw new Error(`Indices should be Tensor2D but received shape\n ${o.shape}`);if(s.rank!==1)throw new Error(`Values should be Tensor1D but received shape ${s.shape}`);if(i.rank!==1)throw new Error(`Dense shape should be Tensor1D but received shape ${i.shape}`);if(a.rank!==0)throw new Error(`Default value should be a scalar but received shape ${a.shape}`);let u={indices:o,values:s,denseShape:i,defaultValue:a},l=k.runKernel(Pl,u);return{outputIndices:l[0],outputValues:l[1],emptyRowIndicator:l[2],reverseIndexMap:l[3]}}var dA=T({sparseFillEmptyRows_:sX});function iX(r,t,e){let n=I(r,\"inputIndices\",\"sparseReshape\",\"int32\"),o=I(t,\"inputShape\",\"sparseReshape\",\"int32\"),s=I(e,\"newShape\",\"sparseReshape\",\"int32\");if(n.rank!==2)throw new Error(`Input indices should be Tensor2D but received shape\n ${n.shape}`);if(o.rank!==1)throw new Error(`Input shape should be Tensor1D but received shape ${o.shape}`);if(s.rank!==1)throw new Error(`New shape should be Tensor1D but received shape ${s.shape}`);let i={inputIndices:n,inputShape:o,newShape:s},a=k.runKernel(Ga,i);return{outputIndices:a[0],outputShape:a[1]}}var hA=T({sparseReshape_:iX});function aX(r,t,e){let n=I(r,\"data\",\"sparseSegmentMean\"),o=I(t,\"indices\",\"sparseSegmentMean\",\"int32\"),s=I(e,\"segmentIds\",\"sparseSegmentMean\",\"int32\");if(n.rank<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(o.rank!==1)throw new Error(`Indices should be Tensor1D but received shape\n ${o.shape}`);if(s.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape\n ${s.shape}`);let i={data:n,indices:o,segmentIds:s};return k.runKernel(Ll,i)}var gA=T({sparseSegmentMean_:aX});function lX(r,t,e){let n=I(r,\"data\",\"sparseSegmentSum\"),o=I(t,\"indices\",\"sparseSegmentSum\",\"int32\"),s=I(e,\"segmentIds\",\"sparseSegmentSum\",\"int32\");if(n.rank<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(o.rank!==1)throw new Error(`Indices should be Tensor1D but received shape\n ${o.shape}`);if(s.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape\n ${s.shape}`);let i={data:n,indices:o,segmentIds:s};return k.runKernel(Ml,i)}var xA=T({sparseSegmentSum_:lX});function uX(r,t,e,n,o,s,i,a){let u=I(r,\"data\",\"stringNGrams\",\"string\");if(u.dtype!==\"string\")throw new Error(\"Data must be of datatype string\");if(u.shape.length!==1)throw new Error(`Data must be a vector, saw: ${u.shape}`);let l=I(t,\"dataSplits\",\"stringNGrams\");if(l.dtype!==\"int32\")throw new Error(\"Data splits must be of datatype int32\");let c={separator:e,nGramWidths:n,leftPad:o,rightPad:s,padWidth:i,preserveShortSequences:a},p={data:u,dataSplits:l},m=k.runKernel(Bl,p,c);return{nGrams:m[0],nGramsSplits:m[1]}}var yA=T({stringNGrams_:uX});function cX(r,t,e=!0){let n=I(r,\"input\",\"stringSplit\",\"string\"),o=I(t,\"delimiter\",\"stringSplit\",\"string\");if(n.rank!==1)throw new Error(`Input should be Tensor1D but received shape ${n.shape}`);if(o.rank!==0)throw new Error(`Delimiter should be a scalar but received shape ${o.shape}`);let s={skipEmpty:e},i={input:n,delimiter:o},a=k.runKernel(Vl,i,s);return{indices:a[0],values:a[1],shape:a[2]}}var bA=T({stringSplit_:cX});function pX(r,t){let e=I(r,\"input\",\"stringToHashBucketFast\",\"string\"),n={numBuckets:t};if(t<=0)throw new Error(\"Number of buckets must be at least 1\");let o={input:e};return k.runKernel(Gl,o,n)}var wA=T({stringToHashBucketFast_:pX});var mX={fft:au,ifft:tl,rfft:lu,irfft:xm},fX={hammingWindow:B_,hannWindow:py,frame:my,stft:V_},Gs={flipLeftRight:W_,grayscaleToRGB:U_,resizeNearestNeighbor:xy,resizeBilinear:gy,rotateWithOffset:H_,cropAndResize:G_,nonMaxSuppression:q_,nonMaxSuppressionAsync:X_,nonMaxSuppressionWithScore:Y_,nonMaxSuppressionWithScoreAsync:Z_,nonMaxSuppressionPadded:J_,nonMaxSuppressionPaddedAsync:Q_,threshold:tA,transform:eA},pv={bandPart:rA,gramSchmidt:nA,qr:sA},dX={absoluteDifference:iA,computeWeightedLoss:Gr,cosineDistance:aA,hingeLoss:lA,huberLoss:uA,logLoss:cA,meanSquaredError:pA,sigmoidCrossEntropy:mA,softmaxCrossEntropy:fA},hX={sparseFillEmptyRows:dA,sparseReshape:hA,sparseSegmentMean:gA,sparseSegmentSum:xA},gX={stringNGrams:yA,stringSplit:bA,stringToHashBucketFast:wA};var Wr=class extends uh{minimize(t,e=!1,n){let{value:o,grads:s}=this.computeGradients(t,n);if(n!=null){let i=n.map(a=>({name:a.name,tensor:s[a.name]}));this.applyGradients(i)}else this.applyGradients(s);return vt(s),e?o:(o.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(t,e){return Bx(t,e)}dispose(){this.iterations_!=null&&vt(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:\"iter\",tensor:mt(this.iterations_,\"int32\")}}async getWeights(){throw new Error(\"getWeights() is not implemented for this optimizer yet.\")}async setWeights(t){throw new Error(`setWeights() is not implemented for this optimizer class ${this.getClassName()}`)}async extractIterations(t){return this.iterations_=(await t[0].tensor.data())[0],t.slice(1)}};Object.defineProperty(Wr,Symbol.hasInstance,{value:r=>r.minimize!=null&&r.computeGradients!=null&&r.applyGradients!=null});var cu=class extends Wr{constructor(t,e,n=null){super(),this.learningRate=t,this.rho=e,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],n==null&&(this.epsilon=k.backend.epsilon())}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=k.registeredVariables[n],i=!1;this.accumulatedGrads[o]==null&&(this.accumulatedGrads[o]={originalName:`${n}/accum_grad`,variable:B(()=>It(s).variable(i))}),this.accumulatedUpdates[o]==null&&(this.accumulatedUpdates[o]={originalName:`${n}/accum_var`,variable:B(()=>It(s).variable(i))});let a=Array.isArray(t)?t[o].tensor:t[n];if(a==null)return;let u=this.accumulatedGrads[o].variable,l=this.accumulatedUpdates[o].variable;B(()=>{let c=X(D(u,this.rho),D(Mt(a),1-this.rho)),p=D(pt(Se(X(l,this.epsilon)),Se(X(u,this.epsilon))),a),m=X(D(l,this.rho),D(Mt(p),1-this.rho));u.assign(c),l.assign(m);let f=X(D(p,-this.learningRate),s);s.assign(f)})}),this.incrementIterations()}dispose(){this.accumulatedUpdates!=null&&(vt(this.accumulatedGrads.map(t=>t.variable)),vt(this.accumulatedUpdates.map(t=>t.variable)))}async getWeights(){let t=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(t.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(t){t=await this.extractIterations(t);let e=t.length/2,n=!1;this.accumulatedGrads=t.slice(0,e).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.accumulatedUpdates=t.slice(e,e*2).map(o=>({originalName:o.name,variable:o.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(t,e){return new t(e.learningRate,e.rho,e.epsilon)}};cu.className=\"Adadelta\";Cn(cu);var pu=class extends Wr{constructor(t,e=.1){super(),this.learningRate=t,this.initialAccumulatorValue=e,this.accumulatedGrads=[]}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=k.registeredVariables[n];this.accumulatedGrads[o]==null&&(this.accumulatedGrads[o]={originalName:`${n}/accumulator`,variable:B(()=>xo(s.shape,this.initialAccumulatorValue).variable(!1))});let i=Array.isArray(t)?t[o].tensor:t[n];if(i==null)return;let a=this.accumulatedGrads[o].variable;B(()=>{let u=X(a,Mt(i));a.assign(u);let l=X(D(pt(i,Se(X(u,k.backend.epsilon()))),-this.learningRate),s);s.assign(l)})}),this.incrementIterations()}dispose(){this.accumulatedGrads!=null&&vt(this.accumulatedGrads.map(t=>t.variable))}async getWeights(){return[await this.saveIterations()].concat(this.accumulatedGrads.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(t){t=await this.extractIterations(t);let e=!1;this.accumulatedGrads=t.map(n=>({originalName:n.name,variable:n.tensor.variable(e)}))}getConfig(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}static fromConfig(t,e){return new t(e.learningRate,e.initialAccumulatorValue)}};pu.className=\"Adagrad\";Cn(pu);var mu=class extends Wr{constructor(t,e,n,o=null){super(),this.learningRate=t,this.beta1=e,this.beta2=n,this.epsilon=o,this.accumulatedFirstMoment=[],this.accumulatedSecondMoment=[],B(()=>{this.accBeta1=mt(e).variable(),this.accBeta2=mt(n).variable()}),o==null&&(this.epsilon=k.backend.epsilon())}applyGradients(t){let e=Array.isArray(t)?t.map(n=>n.name):Object.keys(t);B(()=>{let n=ct(1,this.accBeta1),o=ct(1,this.accBeta2);e.forEach((s,i)=>{let a=k.registeredVariables[s],u=!1;this.accumulatedFirstMoment[i]==null&&(this.accumulatedFirstMoment[i]={originalName:`${s}/m`,variable:B(()=>It(a).variable(u))}),this.accumulatedSecondMoment[i]==null&&(this.accumulatedSecondMoment[i]={originalName:`${s}/v`,variable:B(()=>It(a).variable(u))});let l=Array.isArray(t)?t[i].tensor:t[s];if(l==null)return;let c=this.accumulatedFirstMoment[i].variable,p=this.accumulatedSecondMoment[i].variable,m=X(D(c,this.beta1),D(l,1-this.beta1)),f=X(D(p,this.beta2),D(Mt(l),1-this.beta2)),d=pt(m,n),h=pt(f,o);c.assign(m),p.assign(f);let g=X(D(pt(d,X(Se(h),this.epsilon)),-this.learningRate),a);a.assign(g)}),this.accBeta1.assign(D(this.accBeta1,this.beta1)),this.accBeta2.assign(D(this.accBeta2,this.beta2))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.accBeta2.dispose(),this.accumulatedFirstMoment!=null&&vt(this.accumulatedFirstMoment.map(t=>t.variable)),this.accumulatedSecondMoment!=null&&vt(this.accumulatedSecondMoment.map(t=>t.variable))}async getWeights(){let t=[...this.accumulatedFirstMoment,...this.accumulatedSecondMoment];return[await this.saveIterations()].concat(t.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(t){t=await this.extractIterations(t),B(()=>{this.accBeta1.assign(an(this.beta1,this.iterations_+1)),this.accBeta2.assign(an(this.beta2,this.iterations_+1))});let e=t.length/2,n=!1;this.accumulatedFirstMoment=t.slice(0,e).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.accumulatedSecondMoment=t.slice(e,e*2).map(o=>({originalName:o.name,variable:o.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}static fromConfig(t,e){return new t(e.learningRate,e.beta1,e.beta2,e.epsilon)}};mu.className=\"Adam\";Cn(mu);var fu=class extends Wr{constructor(t,e,n,o=null,s=0){super(),this.learningRate=t,this.beta1=e,this.beta2=n,this.epsilon=o,this.decay=s,this.accumulatedFirstMoment=[],this.accumulatedWeightedInfNorm=[],B(()=>{this.iteration=mt(0).variable(),this.accBeta1=mt(e).variable()}),o==null&&(this.epsilon=k.backend.epsilon())}applyGradients(t){let e=Array.isArray(t)?t.map(n=>n.name):Object.keys(t);B(()=>{let n=ct(1,this.accBeta1),o=pt(-this.learningRate,X(D(this.iteration,this.decay),1));e.forEach((s,i)=>{let a=k.registeredVariables[s],u=!1;this.accumulatedFirstMoment[i]==null&&(this.accumulatedFirstMoment[i]={originalName:`${s}/m`,variable:It(a).variable(u)}),this.accumulatedWeightedInfNorm[i]==null&&(this.accumulatedWeightedInfNorm[i]={originalName:`${s}/v`,variable:It(a).variable(u)});let l=Array.isArray(t)?t[i].tensor:t[s];if(l==null)return;let c=this.accumulatedFirstMoment[i].variable,p=this.accumulatedWeightedInfNorm[i].variable,m=X(D(c,this.beta1),D(l,1-this.beta1)),f=D(p,this.beta2),d=Ee(l),h=Sn(f,d);c.assign(m),p.assign(h);let g=X(D(pt(o,n),pt(m,X(h,this.epsilon))),a);a.assign(g)}),this.iteration.assign(X(this.iteration,1)),this.accBeta1.assign(D(this.accBeta1,this.beta1))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.iteration.dispose(),this.accumulatedFirstMoment!=null&&vt(this.accumulatedFirstMoment.map(t=>t.variable)),this.accumulatedWeightedInfNorm!=null&&vt(this.accumulatedWeightedInfNorm.map(t=>t.variable))}async getWeights(){throw new Error(\"getWeights() is not implemented for Adamax yet.\")}async setWeights(t){throw new Error(\"setWeights() is not implemented for Adamax yet.\")}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}static fromConfig(t,e){return new t(e.learningRate,e.beta1,e.beta2,e.epsilon,e.decay)}};fu.className=\"Adamax\";Cn(fu);var Bi=class extends Wr{constructor(t){super(),this.learningRate=t,this.setLearningRate(t)}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=Array.isArray(t)?t[o].tensor:t[n];if(s==null)return;let i=k.registeredVariables[n];B(()=>{let a=X(D(this.c,s),i);i.assign(a)})}),this.incrementIterations()}setLearningRate(t){this.learningRate=t,this.c!=null&&this.c.dispose(),this.c=De(mt(-t))}dispose(){this.c.dispose()}async getWeights(){return[await this.saveIterations()]}async setWeights(t){if(t=await this.extractIterations(t),t.length!==0)throw new Error(\"SGD optimizer does not have settable weights.\")}getConfig(){return{learningRate:this.learningRate}}static fromConfig(t,e){return new t(e.learningRate)}};Bi.className=\"SGD\";Cn(Bi);var du=class extends Bi{constructor(t,e,n=!1){super(t),this.learningRate=t,this.momentum=e,this.useNesterov=n,this.accumulations=[],this.m=mt(this.momentum)}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=k.registeredVariables[n];this.accumulations[o]==null&&(this.accumulations[o]={originalName:`${n}/momentum`,variable:B(()=>It(s).variable(!1))});let i=this.accumulations[o].variable,a=Array.isArray(t)?t[o].tensor:t[n];a!=null&&B(()=>{let u,l=X(D(this.m,i),a);this.useNesterov?u=X(D(this.c,X(a,D(l,this.m))),s):u=X(D(this.c,l),s),i.assign(l),s.assign(u)})}),this.incrementIterations()}dispose(){this.m.dispose(),this.accumulations!=null&&vt(this.accumulations.map(t=>t.variable))}setMomentum(t){this.momentum=t}async getWeights(){return[await this.saveIterations()].concat(this.accumulations.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(t){t=await this.extractIterations(t);let e=!1;this.accumulations=t.map(n=>({originalName:n.name,variable:n.tensor.variable(e)}))}getConfig(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}static fromConfig(t,e){return new t(e.learningRate,e.momentum,e.useNesterov)}};du.className=\"Momentum\";Cn(du);var hu=class extends Wr{constructor(t,e=.9,n=0,o=null,s=!1){if(super(),this.learningRate=t,this.decay=e,this.momentum=n,this.epsilon=o,this.accumulatedMeanSquares=[],this.accumulatedMoments=[],this.accumulatedMeanGrads=[],this.centered=s,o==null&&(this.epsilon=k.backend.epsilon()),t==null)throw new Error(\"learningRate for RMSPropOptimizer must be defined.\")}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=k.registeredVariables[n],i=!1;this.accumulatedMeanSquares[o]==null&&(this.accumulatedMeanSquares[o]={originalName:`${n}/rms`,variable:B(()=>It(s).variable(i))}),this.accumulatedMoments[o]==null&&(this.accumulatedMoments[o]={originalName:`${n}/momentum`,variable:B(()=>It(s).variable(i))}),this.accumulatedMeanGrads[o]==null&&this.centered&&(this.accumulatedMeanGrads[o]={originalName:`${n}/mg`,variable:B(()=>It(s).variable(i))});let a=Array.isArray(t)?t[o].tensor:t[n];if(a==null)return;let u=this.accumulatedMeanSquares[o].variable,l=this.accumulatedMoments[o].variable;B(()=>{let c=X(D(u,this.decay),D(Mt(a),1-this.decay));if(this.centered){let p=this.accumulatedMeanGrads[o].variable,m=X(D(p,this.decay),D(a,1-this.decay)),f=pt(D(a,this.learningRate),Se(ct(c,X(Mt(m),this.epsilon)))),d=X(D(l,this.momentum),f);u.assign(c),p.assign(m),l.assign(d);let h=ct(s,d);s.assign(h)}else{let p=X(D(u,this.decay),D(Mt(a),1-this.decay)),m=X(D(l,this.momentum),pt(D(a,this.learningRate),Se(X(p,this.epsilon))));u.assign(p),l.assign(m);let f=ct(s,m);s.assign(f)}})}),this.incrementIterations()}dispose(){this.accumulatedMeanSquares!=null&&vt(this.accumulatedMeanSquares.map(t=>t.variable)),this.accumulatedMeanGrads!=null&&this.centered&&vt(this.accumulatedMeanGrads.map(t=>t.variable)),this.accumulatedMoments!=null&&vt(this.accumulatedMoments.map(t=>t.variable))}async getWeights(){let t=[...this.accumulatedMeanSquares,...this.accumulatedMoments];return this.centered&&t.push(...this.accumulatedMeanGrads),[await this.saveIterations()].concat(t.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(t){t=await this.extractIterations(t);let e=this.centered?t.length/3:t.length/2,n=!1;this.accumulatedMeanSquares=t.slice(0,e).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.accumulatedMoments=t.slice(e,e*2).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.centered&&(this.accumulatedMeanGrads=t.slice(e*2,e*3).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})))}getConfig(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}}static fromConfig(t,e){return new t(e.learningRate,e.decay,e.momentum,e.epsilon,e.centered)}};hu.className=\"RMSProp\";Cn(hu);var Ws=class{static sgd(t){return new Bi(t)}static momentum(t,e,n=!1){return new du(t,e,n)}static rmsprop(t,e=.9,n=0,o=null,s=!1){return new hu(t,e,n,o,s)}static adam(t=.001,e=.9,n=.999,o=null){return new mu(t,e,n,o)}static adadelta(t=.001,e=.95,n=null){return new cu(t,e,n)}static adamax(t=.002,e=.9,n=.999,o=null,s=0){return new fu(t,e,n,o,s)}static adagrad(t,e=.1){return new pu(t,e)}};var ic={sgd:Ws.sgd,momentum:Ws.momentum,adadelta:Ws.adadelta,adagrad:Ws.adagrad,rmsprop:Ws.rmsprop,adamax:Ws.adamax,adam:Ws.adam};var xX=(()=>typeof requestAnimationFrame!=\"undefined\"?requestAnimationFrame:typeof setImmediate!=\"undefined\"?setImmediate:r=>r())();function gh(){return new Promise(r=>xX(()=>r()))}var v={};Wt(v,{ERF_A1:()=>DX,ERF_A2:()=>RX,ERF_A3:()=>FX,ERF_A4:()=>OX,ERF_A5:()=>PX,ERF_P:()=>$X,PARALLELIZE_THRESHOLD:()=>yy,RowPartitionType:()=>Vi,SELU_SCALE:()=>fv,SELU_SCALEALPHA:()=>mv,applyActivation:()=>oc,assertAndGetBroadcastShape:()=>Pt,assertAxesAreInnerMostDims:()=>Uq,assertParamsConsistent:()=>yX,assignToTypedArray:()=>GX,axesAreInnerMostDims:()=>J0,calculateShapes:()=>IE,checkEinsumDimSizes:()=>jX,checkPadOnDimRoundingMode:()=>Ie,combineLocations:()=>HE,combineRaggedTensorToTensorShapes:()=>wX,complexWithEvenIndex:()=>zX,complexWithOddIndex:()=>BX,computeConv2DInfo:()=>ju,computeConv3DInfo:()=>ME,computeDefaultPad:()=>Z0,computeDilation2DInfo:()=>qH,computeOptimalWindowSize:()=>vX,computeOutAndReduceShapes:()=>Q0,computeOutShape:()=>bX,computePool2DInfo:()=>Y0,computePool3DInfo:()=>KH,convertConv2DDataFormat:()=>zE,decodeEinsumEquation:()=>qX,eitherStridesOrDilationsAreOne:()=>Ar,expandShapeToKeepDim:()=>yo,exponent:()=>UX,exponents:()=>WX,fromStringArrayToUint8:()=>h5,fromUint8ToStringArray:()=>d5,getAxesPermutation:()=>tv,getBroadcastDims:()=>bE,getComplexWithIndex:()=>VX,getEinsumComputePath:()=>XX,getEinsumPermutation:()=>KX,getFusedBiasGradient:()=>nc,getFusedDyActivation:()=>rc,getImageCenter:()=>NX,getInnerMostAxes:()=>Hq,getPermuted:()=>kX,getRaggedRank:()=>IX,getReductionAxes:()=>ge,getReshaped:()=>TX,getReshapedPermuted:()=>EX,getRowPartitionTypesHelper:()=>CX,getSliceBeginCoords:()=>_X,getSliceSize:()=>AX,getSparseFillEmptyRowsIndicesDenseShapeMismatch:()=>QX,getSparseFillEmptyRowsNegativeIndexErrorMessage:()=>t5,getSparseFillEmptyRowsOutOfRangeIndexErrorMessage:()=>e5,getSparseReshapeEmptyTensorZeroOutputDimErrorMessage:()=>o5,getSparseReshapeInputOutputMismatchErrorMessage:()=>i5,getSparseReshapeInputOutputMultipleErrorMessage:()=>s5,getSparseReshapeMultipleNegativeOneOutputDimErrorMessage:()=>r5,getSparseReshapeNegativeOutputDimErrorMessage:()=>n5,getSparseSegmentReductionIndicesOutOfRangeErrorMessage:()=>c5,getSparseSegmentReductionNegativeSegmentIdsErrorMessage:()=>a5,getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage:()=>l5,getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage:()=>u5,getUndoAxesPermutation:()=>ph,isIdentityPermutation:()=>YX,log:()=>n4,mergeRealAndImagArrays:()=>LX,prepareAndValidate:()=>CE,prepareSplitSize:()=>JX,segment_util:()=>hv,shouldFuse:()=>sc,slice_util:()=>Le,splitRealAndImagArrays:()=>MX,tupleValuesAreOne:()=>to,upcastType:()=>sr,validateDefaultValueShape:()=>SX,validateInput:()=>sx,validateUpdateShape:()=>U0,warn:()=>vi});function yX(r,t){let e=r[0].length;r.forEach((o,s)=>{E(o.length===e,()=>`Error in concat${e}D: rank of tensors[${s}] must be the same as the rank of the rest (${e})`)}),E(t>=0&&t`Error in concat${e}D: axis must be between 0 and ${e-1}.`);let n=r[0];r.forEach((o,s)=>{for(let i=0;i`Error in concat${e}D: Shape of tensors[${s}] (${o}) does not match the shape of the rest (${n}) along the non-concatenated axis ${s}.`)})}function bX(r,t){let e=r[0].slice();for(let n=1;n=0)if(a>=0){if(a!==s)throw new Error(`rt input.shape and shape=${t} are incompatible: rt input.shape[${o+r}] = ${s} but shape[${o+r}] = ${a}`)}else n[i]=s}return n}function CX(r){let t={FIRST_DIM_SIZE:Vi.FIRST_DIM_SIZE,VALUE_ROWIDS:Vi.VALUE_ROWIDS,ROW_LENGTHS:Vi.ROW_LENGTHS,ROW_SPLITS:Vi.ROW_SPLITS,ROW_LIMITS:Vi.ROW_LIMITS,ROW_STARTS:Vi.ROW_STARTS},e=[];for(let n of r)if(n in t)e.push(t[n]);else break;return e}function IX(r){return r.length===0?0:r[0]===Vi.FIRST_DIM_SIZE?r.length-1:r.length}function SX(r,t){if(r==null||t==null)return;let e=r.length,n=t.length;if(e>=n)throw new Error(`defaultValue.shape=${r} and ragged tensor flatValues.shape=${t}, are incompatible: defaultValue.rank = ${e} must be less than ragged tensor input flatValues.rank = ${n})`);for(let o=0;o=0&&i>=0&&s!==1&&s!==i)throw new Error(`defaultValue.shape=${r}, and ragged tensor input flatValues.shape=${t} are incompatible: defaultValue.shape[${o-r.length}] = ${s} but ragged tensor input.flatValues.shape[${o-r.length}] = ${i}`)}}var yy=30;function vX(r){return r<=yy?r:sp(r,Math.floor(Math.sqrt(r)))}function NX(r,t,e){let n=e*(typeof r==\"number\"?r:r[0]),o=t*(typeof r==\"number\"?r:r[1]);return[n,o]}function TX(r,t,e,n=!0){let o=[];if(n)o=o.concat(t.slice(0)),o.push(r[0]/e),o=o.concat(r.slice(1));else{o=o.concat(r[0]);let s=t.length;for(let i=0;i=t*2+1||i%2===1?s.push(i):o.push(i);n.push(...o),n.push(0),n.push(...s)}return n}function EX(r,t,e,n=!0){let o=[];n?o.push(r[0]/e):o.push(r[0]*e);for(let s=1;s\",HX=/->/g,CA=\",\",IA=\"...\";function qX(r,t){r=r.replace(/\\s/g,\"\");let e=(r.length-r.replace(HX,\"\").length)/dv.length;if(e<1)throw new Error(\"Equations without an arrow are not supported.\");if(e>1)throw new Error(`Equation must contain exactly one arrow (\"${dv}\").`);let[n,o]=r.split(dv);E(n.indexOf(IA)===-1,()=>`The ellipsis notation (\"${IA}\") is not supported yet.`);let s=n.split(CA),i=s.length;if(t!==i)throw new Error(`Expected ${i} input tensors, received ${t}`);if(i>2)throw new Error(\"Support for more than 2 input tensors is not implemented yet.\");let a=[];for(let m=0;md.indexOf(f)!==-1))throw new Error(`Output subscripts contain the label ${f} not present in the input subscripts.`);a.indexOf(f)===-1&&a.push(f)}for(let m=0;mo!==-1),{permutationIndices:e,expandDims:n}}function jX(r,t,e){let n=new Array(r);for(let o=0;o`Expected dimension ${n[t[o][i]]} at axis ${i} of input shaped ${JSON.stringify(s)}, but got dimension ${s[i]}`)}}function XX(r,t){let e=r,n=[],o=0;r.length===0&&e.push(-1),o=r.length+1;for(let i=0;it===e)}function ZX(r,t){let e=[];for(let n=0;n\"Number of splits must evenly divide the axis.\"),n=new Array(t).fill(r.shape[e]/t);else{let o=t.reduce((i,a)=>(a===-1&&(i+=1),i),0);E(o<=1,()=>\"There should be only one negative value in split array.\");let s=t.indexOf(-1);if(s!==-1){let i=t.reduce((a,u)=>u>0?a+u:a);t[s]=r.shape[e]-i}E(r.shape[e]===t.reduce((i,a)=>i+a),()=>\"The sum of sizes must match the size of the axis dimension.\"),n=t}return n}function QX(r){return`Received SparseTensor with denseShape[0] = 0 but\n indices.shape[0] = ${r}`}function t5(r,t){return`indices(${r}, 0) is invalid: ${t} < 0`}function e5(r,t,e){return`indices(${r}, 0) is invalid: ${t} >= ${e}`}function r5(r,t){return`only one output dimension may be -1, not both ${r} and ${t}`}function n5(r,t){return`size ${r} must be non-negative, not ${t}`}function o5(){return\"reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero\"}function s5(r,t){let e=Jt(r),n=Jt(t);return`Input to reshape is a SparseTensor with ${e}\n dense values, but the requested shape requires a multiple of ${n}. inputShape=${r} outputShape= ${t}`}function i5(r,t){let e=Jt(r),n=Jt(t);return`Input to reshape is a tensor with ${e} dense values, but the requested shape has ${n}. inputShape=${r} outputShape=${t}`}function a5(){return\"segment ids must be >= 0\"}function l5(){return\"segment ids are not increasing\"}function u5(r,t){return`Segment id ${r} out of range [0, ${t}), possibly because segmentIds input is not sorted.`}function c5(r,t,e){return`Bad: indices[${r}] == ${t} out of range [0, ${e})`}var hv={};Wt(hv,{collectGatherOpShapeInfo:()=>f5,computeOutShape:()=>m5,segOpComputeOptimalWindowSize:()=>p5});function p5(r,t){let e=!1,n;for(r<=yy?(n=r,e=!0):n=sp(r,Math.floor(Math.sqrt(r)));!e;)n>t||n===r?e=!0:n=sp(r,n+1);return n}function m5(r,t,e){let n=[],o=r.length;for(let s=0;so))throw new Error(`Expect batchDims in the range of [-${o}, ${o}], but got ${n}`);if(n<0&&(n+=o),n>s)throw new Error(`batchDims (${n}) must be less than rank(x) (\n ${s}).`);if(eWp(t))}catch(t){throw new Error(`Failed to decode encoded string bytes into utf-8, error: ${t}`)}}function h5(r){return r.map(t=>Hl(t))}var Ur={};Wt(Ur,{nonMaxSuppressionV3Impl:()=>fy,nonMaxSuppressionV4Impl:()=>dy,nonMaxSuppressionV5Impl:()=>hy,whereImpl:()=>ay});var by={kernelName:ii,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,bo(J(e,\"float32\"),-1))}}};var SA={kernelName:oa,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=Mt(J(e,\"float32\")),o=Se(ct(mt(1),n));return Ht(pt(r,o))}}}};var vA={kernelName:sa,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=Se(ct(Mt(J(e,\"float32\")),1));return pt(r,n)}}}};var NA={kernelName:Zn,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=Pt(e.shape,n.shape);return{a:()=>{let a=r,u=ge(e.shape,o);return u.length>0&&(a=ft(a,u)),R(a,e.shape)},b:()=>{let a=r,u=ge(n.shape,o);return u.length>0&&(a=ft(a,u)),R(a,n.shape)}}}};var TA={kernelName:Go,saveAllInputs:!0,gradFunc:(r,t)=>{let e={};return t.forEach((n,o)=>{e[o]=()=>r.clone()}),e}};var kA={kernelName:Wo,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>It(e)}}};var EA={kernelName:kl,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>It(e)}}};var _A={kernelName:la,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,Se(ct(mt(1),Mt(J(e,\"float32\")))))}}};var AA={kernelName:ua,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=Se(X(mt(1),Mt(J(e,\"float32\"))));return pt(r,n)}}}};var $A={kernelName:ma,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=Pt(e.shape,n.shape);return{a:()=>{let a=X(Mt(e),Mt(n)),u=D(r,pt(n,a)),l=ge(e.shape,o);return l.length>0&&(u=ft(u,l)),R(u,e.shape)},b:()=>{let a=X(Mt(e),Mt(n)),u=Ht(D(r,pt(e,a))),l=ge(n.shape,o);return l.length>0&&(u=ft(u,l)),R(u,n.shape)}}}};var DA={kernelName:ca,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,X(Mt(J(e,\"float32\")),1))}}};var RA={kernelName:pa,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,ct(mt(1),Mt(J(e,\"float32\"))))}}};function g5(r,t,e,n,o,s){let i=I(r,\"dy\",\"avgPool3dGrad\"),a=I(t,\"input\",\"avgPool3dGrad\"),u=i,l=a,c=!1;a.rank===4&&(c=!0,u=R(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]]),l=R(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]])),E(u.rank===5,()=>`Error in avgPool3dGrad: dy must be rank 5 but got rank ${u.rank}.`),E(l.rank===5,()=>`Error in avgPool3dGrad: input must be rank 5 but got rank ${l.rank}.`),Ie(\"avgPool3dGrad\",o,s);let p={dy:u,input:l},m={filterSize:e,strides:n,pad:o,dimRoundingMode:s},f=k.runKernel(lp,p,m);return c?R(f,[f.shape[1],f.shape[2],f.shape[3],f.shape[4]]):f}var FA=T({avgPool3dGrad_:g5});var OA={kernelName:El,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{filterSize:o,strides:s,pad:i,dimRoundingMode:a}=e;return{x:()=>FA(r,n,o,s,i,a)}}};function x5(r,t,e,n,o){let s=I(r,\"dy\",\"avgPoolGrad\"),i=I(t,\"input\",\"avgPoolGrad\");E(i.rank===s.rank,()=>`Rank of input (${i.rank}) does not match rank of dy (${s.rank})`);let a=i,u=s,l=!1;i.rank===3&&(l=!0,a=R(i,[1,i.shape[0],i.shape[1],i.shape[2]]),u=R(s,[1,s.shape[0],s.shape[1],s.shape[2]])),E(u.rank===4,()=>`Error in avgPoolGrad: dy must be rank 4 but got rank ${u.rank}.`),E(a.rank===4,()=>`Error in avgPoolGrad: input must be rank 4 but got rank ${a.rank}.`);let c={dy:u,input:a},p={filterSize:e,strides:n,pad:o},m=k.runKernel(ap,c,p);return l?R(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var PA=T({avgPoolGrad_:x5});var LA={kernelName:Uo,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{filterSize:o,strides:s,pad:i}=e;return{x:()=>PA(r,n,o,s,i)}}};var MA={kernelName:Ho,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t,e)=>{let[n,o]=t,{transposeA:s,transposeB:i}=e;return!s&&!i?{a:()=>Lt(r,o,!1,!0),b:()=>Lt(n,r,!0,!1)}:!s&&i?{a:()=>Lt(r,o,!1,!1),b:()=>Lt(r,n,!0,!1)}:s&&!i?{a:()=>Lt(o,r,!1,!0),b:()=>Lt(n,r,!1,!1)}:{a:()=>Lt(o,r,!0,!0),b:()=>Lt(r,n,!0,!0)}}};var zA={kernelName:ai,gradFunc:(r,t,e)=>{let{blockShape:n,crops:o}=e;return{x:()=>nu(r,n,o)}}};var BA={kernelName:p1,gradFunc:(r,t,e)=>{let n=e,o=n.inputShape,s=n.shape,i=Array.from(s);for(let u=o.length-1;u>=0;u--)if(o[u]===s[u])i[u]=1;else if(o[u]!==1)throw new Error(`broadcastTo(): [${o}] cannot be broadcast to [${s}].`);let a=[];for(let u=0;u1&&a.push(u);return{x:()=>ft(r,a,!0)}}};var VA={kernelName:lo,gradFunc:r=>({x:()=>r.clone()})};var GA={kernelName:qo,gradFunc:r=>({x:()=>It(r)})};var WA={kernelName:uo,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{clipValueMin:o,clipValueMax:s}=e;return{x:()=>_e(Rr(ln(n,o),Ln(n,s)),r,It(r))}}};var UA={kernelName:_l,inputsToSave:[\"x\"],gradFunc:by.gradFunc};var HA={kernelName:li,saveAllInputs:!0,gradFunc:(r,t,e)=>{let n=t.map(u=>u.shape),{axis:o}=e,s=lr(o,t[0].shape)[0],i=n.map(u=>u[s]);return mr(r,i,s).map(u=>()=>u)}};var qA={kernelName:Ko,inputsToSave:[\"x\",\"filter\"],gradFunc:(r,t,e)=>{let[n,o]=t,{dilations:s,strides:i,pad:a,dataFormat:u}=e;return E(to(s),()=>`Error in gradient of conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`),{x:()=>tm(n.shape,r,o,i,a,u),filter:()=>Cm(n,r,o.shape,i,a,u)}}};var KA={kernelName:jo,inputsToSave:[\"dy\",\"filter\"],gradFunc:(r,t,e)=>{let[n,o]=t,{strides:s,pad:i,dataFormat:a,dimRoundingMode:u}=e;return{dy:()=>In(r,o,s,i,a,1,u),filter:()=>Cm(r,n,o.shape,s,i,a,u)}}};function y5(r,t,e,n,o){let s=r;r.rank===4&&(s=R(r,[1,r.shape[0],r.shape[1],r.shape[2],r.shape[3]]));let i=t;i.rank===4&&(i=R(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]])),E(s.rank===5,()=>`Error in conv3dDerFilter: input must be rank 5, but got shape ${s.shape}.`),E(i.rank===5,()=>`Error in conv3dDerFilter: dy must be rank 5, but got shape ${i.shape}.`),E(e.length===5,()=>`Error in conv3dDerFilter: filterShape must be length 5, but got ${e}.`),E(s.shape[4]===e[3],()=>`Error in conv3dDerFilter: depth of input ${s.shape[4]}) must match input depth in filter (${e[3]}.`),E(i.shape[4]===e[4],()=>`Error in conv3dDerFilter: depth of dy (${i.shape[4]}) must match output depth for filter (${e[4]}).`);let a={x:s,dy:i},u={strides:n,pad:o,filterShape:e};return k.runKernel(fp,a,u)}var jA=T({conv3DBackpropFilter_:y5});var XA={kernelName:Al,inputsToSave:[\"x\",\"filter\"],gradFunc:(r,t,e)=>{let{dilations:n,strides:o,pad:s}=e;E(to(n),()=>`Error in gradient of conv3D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${n}'`);let[i,a]=t;return{x:()=>kx(i.shape,r,a,o,s),filter:()=>jA(i,r,a.shape,o,s)}}};var YA={kernelName:Xo,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(Ht(fm(J(e,\"float32\"))),r)}}};var ZA={kernelName:Yo,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(dm(J(e,\"float32\")),r)}}};var JA={kernelName:Zo,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{axis:o,exclusive:s,reverse:i}=e;return{x:()=>{let a=tv([o],n.rank),u=nm(r,o,s,!i);return a!=null&&(u=Ot(u,a)),u}}}};var QA={kernelName:Jo,inputsToSave:[\"x\",\"filter\"],gradFunc:(r,t,e)=>{let{dilations:n,strides:o,pad:s,dimRoundingMode:i}=e,a=n==null?[1,1]:n;E(to(a),()=>`Error in gradient of depthwiseConv2dNative: dilation rates greater than 1 are not yet supported. Got dilations '${a}'`);let[u,l]=t;return E(u.rank===4,()=>`Error in gradient of depthwiseConv2dNative: input must be rank 4, but got rank ${u.rank}.`),E(l.rank===4,()=>`Error in gradient of depthwiseConv2dNative: filter must be rank 4, but got rank ${l.rank}.`),E(u.shape[3]===l.shape[2],()=>`Error in gradient of depthwiseConv2d: number of input channels (${u.shape[3]}) must match the inChannels dimension in filter ${l.shape[2]}.`),E(Ar(o,a),()=>`Error in gradient of depthwiseConv2d: Either strides or dilations must be 1. Got strides ${o} and dilations '${a}'.`),Ie(\"depthwiseConv2d\",s,i),{x:()=>cy(u.shape,r,l,o,s,a,i),filter:()=>uy(u,r,l.shape,o,s,a,i)}}};var t2={kernelName:$l,inputsToSave:[\"x\",\"filter\"],gradFunc:(r,t,e)=>{let[n,o]=t,s={x:n,filter:o,dy:r},i={x:n,filter:o,dy:r};return{x:()=>k.runKernel(jd,s,e),filter:()=>k.runKernel(Xd,i,e)}}};var e2={kernelName:ts,outputsToSave:[!0],gradFunc:(r,t)=>{let[e]=t,n={dy:r,y:e};return{x:()=>k.runKernel(wp,n)}}};var r2={kernelName:ga,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t,n=D(er(Ht(Mt(e))),2/Math.sqrt(Math.PI));return{x:()=>D(r,n)}}};var n2={kernelName:es,outputsToSave:[!0],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,e)}}};var o2={kernelName:ui,inputsToSave:[\"input\"],gradFunc:(r,t)=>{let[e]=t;return{input:()=>R(r,e.shape)}}};var s2={kernelName:ya,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,er(e))}}};var i2={kernelName:rs,gradFunc:r=>({x:()=>It(r)})};var a2={kernelName:ns,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=Pt(e.shape,n.shape);return{a:()=>{let a=pt(r,J(n,\"float32\")),u=ge(e.shape,o);return u.length>0?R(ft(a,u),e.shape):a},b:()=>{let a=D(r,J(e,\"float32\")),u=ge(n.shape,o);u.length>0&&(a=R(ft(a,u),n.shape));let l=Mt(n);return Ht(pt(a,J(l,\"float32\")))}}}};var l2={kernelName:os,inputsToSave:[\"x\",\"mean\",\"variance\",\"scale\"],gradFunc:(r,t,e)=>{let{varianceEpsilon:n}=e,[o,s,i,a]=t,u=a==null?mt(1):a,l=ge(s.shape,o.shape),c=[];if(s.rank===1){for(let C=0;Cs.rank===1?R(D(D(r,Dr(R(f,[1,1,1,s.shape[0]]),c)),u),o.shape):R(D(D(r,f),u),o.shape),mean:()=>{let C=D(D(f,mt(-1)),m);return s.rank===1&&(C=ft(C,l)),R(C,s.shape)},variance:()=>{let C=D(D(d,p),m);return s.rank===1&&(C=ft(C,l)),R(C,s.shape)},scale:()=>{let C=D(p,f),N=D(r,C);return s.rank===1&&(N=ft(N,l)),R(N,s.shape)},offset:()=>{let C=r;return s.rank===1&&(C=ft(C,l)),R(C,s.shape)}}}};var p2={kernelName:ci,inputsToSave:[\"x\",\"indices\"],gradFunc:(r,t,e)=>{let[n,o]=t,{axis:s}=e,i=lr(s,n.shape)[0];return{x:()=>{let u=n.shape,l=o.size,c=u.slice(0,i),p=c.length,m=u.slice(s,u.length).slice(1),f=m.length,d=u2(0,p),h=u2(p+1,p+1+f),g=c2([c,[l],m]),x=R(r,g),b=R(o,[l]),w=c2([[p],d,h]),C=Ot(x,w),N=wm(C,b,n.shape[i]),_=ph(w);return N=Ot(N,_),N},indices:()=>o}}};function u2(r,t){let e=[];for(let n=r;n{let[e,n]=t;return{a:()=>It(e),b:()=>It(n)}}};var f2={kernelName:co,gradFunc:r=>({x:()=>J(r,\"float32\")})};var d2={kernelName:Ia,gradFunc:r=>({x:()=>It(r)})};var h2={kernelName:Sa,gradFunc:r=>({x:()=>It(r)})};var g2={kernelName:va,gradFunc:r=>({x:()=>It(r)})};var x2={kernelName:is,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{alpha:o}=e,s=Re(n,0);return{x:()=>_e(s,r,D(r,o))}}};var y2={kernelName:ka,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,X(e,1))}}};var b2={kernelName:as,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,J(e,\"float32\"))}}};var w2={kernelName:f1,inputsToSave:[],outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n]=t,{axis:o}=e;return{logits:()=>{let i=er(n);return ct(r,D(ft(r,o,!0),i))}}}};function b5(r,t,e,n=5,o=1,s=1,i=.5){let a={x:r,y:t,dy:e},u={depthRadius:n,bias:o,alpha:s,beta:i};return k.runKernel(Np,a,u)}var C2=T({localResponseNormalizationBackprop_:b5});var I2={kernelName:Rl,inputsToSave:[\"x\"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n,o]=t,{depthRadius:s,bias:i,alpha:a,beta:u}=e;return{x:()=>C2(n,o,r,s,i,a,u)}}};function wy(r,t,e,n){return t.rankD(r,J($r(e,t),r.dtype))}}var gv={kernelName:ls,inputsToSave:[\"x\"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let n=e,{reductionIndices:o}=n,s=t[0],i=t[1],a=lr(o,s.shape),u=wy(r,i,s,a);return{x:()=>u.x()}}};var S2={kernelName:us,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t;return{a:()=>D(r,J(ln(e,n),\"float32\")),b:()=>D(r,J(om(e,n),\"float32\"))}}};function w5(r,t,e,n,o,s,i){let a=I(r,\"dy\",\"maxPool3dGrad\"),u=I(t,\"input\",\"maxPool3dGrad\"),l=I(e,\"output\",\"maxPool3dGrad\"),c=a,p=u,m=l,f=!1;u.rank===4&&(f=!0,c=R(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]]),p=R(u,[1,u.shape[0],u.shape[1],u.shape[2],u.shape[3]]),m=R(l,[1,l.shape[0],l.shape[1],l.shape[2],l.shape[3]])),E(c.rank===5,()=>`Error in maxPool3dGrad: dy must be rank 5 but got rank ${c.rank}.`),E(p.rank===5,()=>`Error in maxPool3dGrad: input must be rank 5 but got rank ${p.rank}.`),E(m.rank===5,()=>`Error in maxPool3dGrad: output must be rank 5 but got rank ${m.rank}.`),Ie(\"maxPool3dGrad\",s,i);let d={dy:c,input:p,output:m},h={filterSize:n,strides:o,pad:s,dimRoundingMode:i},g=k.runKernel(kp,d,h);return f?R(g,[g.shape[1],g.shape[2],g.shape[3],g.shape[4]]):g}var v2=T({maxPool3dGrad_:w5});var N2={kernelName:Fl,inputsToSave:[\"x\"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n,o]=t,{filterSize:s,strides:i,pad:a,dimRoundingMode:u}=e;return{x:()=>v2(r,n,o,s,i,a,u)}}};function C5(r,t,e,n,o,s,i){let a=I(r,\"dy\",\"maxPoolGrad\"),u=I(t,\"input\",\"maxPoolGrad\"),l=I(e,\"output\",\"maxPoolGrad\");E(u.rank===a.rank,()=>`Rank of input (${u.rank}) does not match rank of dy (${a.rank})`),E(a.rank===4,()=>`Error in maxPoolGrad: dy must be rank 4 but got rank ${a.rank}.`),E(u.rank===4,()=>`Error in maxPoolGrad: input must be rank 4 but got rank ${u.rank}.`),Ie(\"maxPoolGrad\",s,i);let c={dy:a,input:u,output:l},p={filterSize:n,strides:o,pad:s,dimRoundingMode:i};return k.runKernel(Tp,c,p)}var T2=T({maxPoolGrad_:C5});var k2={kernelName:cs,inputsToSave:[\"x\"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n,o]=t,{filterSize:s,strides:i,pad:a}=e;return{x:()=>T2(r,n,o,s,i,a)}}};var E2={kernelName:ps,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{axis:o}=e,s=lr(o,n.shape),a=Q0(n.shape,s)[1],u=Jt(a);return{x:()=>{let c=n.shape.slice();s.forEach(f=>{c[f]=1});let p=R(r,c);return pt(D(p,cr(n.shape,\"float32\")),u)}}}};var _2={kernelName:ms,inputsToSave:[\"x\"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let n=e,{axis:o}=n,[s,i]=t,a=lr(o,s.shape),u=wy(r,i,s,a);return{x:()=>u.x()}}};var A2={kernelName:fs,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t;return{a:()=>D(r,J(Ln(e,n),\"float32\")),b:()=>D(r,J(Re(e,n),\"float32\"))}}};var $2={kernelName:ds,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let n=t[0],{paddings:o}=e,s=o.map(i=>i[0]);return{x:()=>Rt(r,s,n.shape)}}};var D2={kernelName:$a,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=Pt(e.shape,n.shape);return{a:()=>{let a=ge(e.shape,o);return a.length>0?R(ft(r,a),e.shape):r},b:()=>{let a=D(r,Ht(Pi(pt(e,n)))),u=ge(n.shape,o);return u.length>0?R(ft(a,u),n.shape):a}}}};var R2={kernelName:hs,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=Pt(e.shape,n.shape);return{a:()=>{let a=D(r,J(n,\"float32\")),u=ge(e.shape,o);return u.length>0?R(ft(a,u),e.shape):a},b:()=>{let a=D(r,J(e,\"float32\")),u=ge(n.shape,o);return u.length>0?R(ft(a,u),n.shape):a}}}};var F2={kernelName:pi,gradFunc:r=>({x:()=>Ht(r)})};var O2={kernelName:gs,inputsToSave:[\"indices\"],gradFunc:(r,t)=>{let e=t[0];return{indices:()=>Ne(e.shape,\"float32\")}}};var P2={kernelName:mi,gradFunc:r=>({x:()=>It(r)})};var L2={kernelName:fi,saveAllInputs:!0,gradFunc:(r,t,e)=>{let{axis:n}=e;return vr(r,n).map(s=>()=>s)}};var xv={kernelName:xs,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let n=t[0],{paddings:o}=e,s=o.map(i=>i[0]);return{x:()=>Rt(r,s,n.shape)}}};var M2={kernelName:ys,inputsToSave:[\"a\",\"b\"],outputsToSave:[!0],gradFunc:(r,t)=>{let[e,n,o]=t,s=e,i=n,a=Pt(s.shape,i.shape);return{a:()=>{let c=J(i,\"float32\"),p=D(r,D(c,an(s,ct(c,mt(1))))),m=ge(s.shape,a);return m.length>0&&(p=ft(p,m)),R(p,s.shape)},b:()=>{let c=Re(s,0),p=_e(c,Sr(s),It(s)),m=D(r,D(o,p)),f=ge(i.shape,a);return f.length>0&&(m=ft(m,f)),R(m,i.shape)}}}};var z2={kernelName:bs,inputsToSave:[\"x\",\"alpha\"],gradFunc:(r,t)=>{let[e,n]=t,o=Re(e,0);return{x:()=>_e(o,r,D(r,n)),alpha:()=>{let s=_e(o,It(r),D(r,e)),i=ge(n.shape,r.shape);return i.length>0&&(s=ft(s,i)),R(s,n.shape)}}}};function I5(r,t,e){let n=r.shape.slice();n[e]=1;let o=R(t,n),s=Xu(r,e,!0,!1),i=Xu(r,e,!0,!0),a=D(s,i);return D(o,a)}function S5(r,t,e){let n=r.shape.length,o=n-e.length,s=v.getAxesPermutation(e,n),i=r;s!=null&&(i=Ot(r,s));let a=i.shape.slice(),l=a.splice(n-e.length,e.length).reduce((m,f)=>m*f,1);a.push(l);let c=i.reshape(a),p=I5(c,t,o);if(p=p.reshape(i.shape),s!=null){let m=v.getUndoAxesPermutation(s);p=Ot(p,m)}return p}var B2={kernelName:ws,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{axis:o}=e,s=[];return o==null?s=n.shape.map((i,a)=>a):typeof o==\"number\"?s=[o]:s=o,{x:()=>S5(n,r,s)}}};var V2={kernelName:Qo,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=Pt(e.shape,n.shape);return{a:()=>{let a=pt(r,J(n,\"float32\")),u=ge(e.shape,o);return u.length>0?R(ft(a,u),e.shape):a},b:()=>{let a=D(r,J(e,\"float32\")),u=ge(n.shape,o);u.length>0&&(a=R(ft(a,u),n.shape));let l=Mt(n);return Ht(pt(a,J(l,\"float32\")))}}}};var G2={kernelName:Pa,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,Ht(Mt(e)))}}};var W2={kernelName:vs,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t,n=D(Ln(e,6),bo(e));return{x:()=>D(r,J(n,\"float32\"))}}};var U2={kernelName:Cs,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,J(bo(e),\"float32\"))}}};var H2={kernelName:di,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>R(r,e.shape)}}};var q2={kernelName:Ss,inputsToSave:[\"images\"],gradFunc:(r,t,e)=>{let[n]=t,o={dy:r,images:n};return{images:()=>k.runKernel(Op,o,e)}}};var K2={kernelName:Is,inputsToSave:[\"images\"],gradFunc:(r,t,e)=>{let[n]=t,o={dy:r,images:n};return{images:()=>k.runKernel(Fp,o,e)}}};var j2={kernelName:Ns,gradFunc:(r,t,e)=>{let{dims:n}=e,o=lr(n,r.shape);return{x:()=>pr(r,o)}}};var X2={kernelName:Ts,gradFunc:r=>({x:()=>It(r)})};var Y2={kernelName:ks,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>Ht(pt(r,D(an(e,1.5),2)))}}};var Z2={kernelName:hi,inputsToSave:[\"condition\"],gradFunc:(r,t)=>{let[e]=t;return{condition:()=>J(It(e),\"float32\"),t:()=>D(r,J(e,r.dtype)),e:()=>D(r,J(eu(e),r.dtype))}}};var J2={kernelName:Ma,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=Re(e,mt(0)),o=mt(mv),s=mt(fv),i=D(r,s),a=D(D(r,o),er(J(e,\"float32\")));return _e(n,i,a)}}}};var Q2={kernelName:_s,outputsToSave:[!0],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,D(e,ct(mt(1),e)))}}};var t$={kernelName:Ba,gradFunc:r=>({x:()=>It(r)})};var e$={kernelName:Es,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(Jl(J(e,\"float32\")),r)}}};var r$={kernelName:za,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(rm(J(e,\"float32\")),r)}}};var n$={kernelName:gi,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{begin:o,size:s}=e,i=n.shape,[a,u]=q0(n,o,s),l=[];for(let c=0;ccn(r,l)}}};var o$={kernelName:Ds,outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n]=t,{dim:o}=e,s=!0,i=D(r,n);return{logits:()=>ct(i,D(ft(i,[o],s),n))}}};var s$={kernelName:Va,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,Yr(e))}}};var yv={kernelName:xi,gradFunc:(r,t,e)=>{let{blockShape:n,paddings:o}=e;return{x:()=>Zl(r,n,o)}}};var bv={kernelName:yi,gradFunc:(r,t,e)=>{let{axis:n}=e;return{x:()=>ne(r,n)}}};var i$={kernelName:As,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,D(Se(J(e,\"float32\")),2))}}};var a$={kernelName:zl,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,D(J(e,\"float32\"),2))}}};var l$={kernelName:Rs,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=mt(2);return{a:()=>D(r,D(o,ct(e,n))),b:()=>D(r,D(o,ct(n,e)))}}};var u$={kernelName:po,gradFunc:r=>({x:()=>It(r)})};var c$={kernelName:Fs,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=Pt(e.shape,n.shape);return{a:()=>{let a=r,u=ge(e.shape,o);return u.length>0&&(a=ft(a,u)),R(a,e.shape)},b:()=>{let a=r,u=ge(n.shape,o);return u.length>0&&(a=ft(a,u)),R(Ht(a),n.shape)}}}};var p$={kernelName:$s,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,o=n.shape.slice(),{axis:s}=e;lr(s,n.shape).forEach(l=>{o[l]=1});let a=R(r,o),u=D(a,cr(n.shape,\"float32\"));return{x:()=>u}}};var m$={kernelName:Os,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,Mt(Jl(e)))}}};var f$={kernelName:Ps,outputsToSave:[!0],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(ct(mt(1),Mt(e)),r)}}};var d$={kernelName:Jn,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{reps:o}=e;return{x:()=>{let i=It(n);if(n.rank===1)for(let a=0;a{let n=e,{perm:o}=n,s=ph(o);return{x:()=>Ot(r,s)}}};var g$={kernelName:bi,gradFunc:(r,t,e)=>{let n=e,{axis:o}=n;return{value:()=>nr(r,o)}}};var x$={kernelName:Wl,inputsToSave:[\"segmentIds\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>v5(r,e)}}};function v5(r,t){let e=Sn(t,It(t)),n=Li(r,e),o=ln(t,mt(0,\"int32\")),s=n.rank-o.rank;for(let a=0;a({x:()=>It(r)})};var N5=[by,SA,vA,NA,TA,kA,EA,_A,AA,$A,DA,RA,OA,LA,MA,zA,BA,VA,GA,WA,UA,HA,KA,qA,XA,YA,ZA,JA,QA,t2,V2,e2,r2,n2,o2,s2,a2,i2,l2,p2,m2,f2,d2,h2,g2,x2,y2,b2,w2,I2,gv,gv,S2,N2,k2,E2,_2,A2,$2,D2,R2,F2,O2,P2,L2,xv,xv,M2,z2,B2,G2,W2,U2,H2,q2,K2,j2,X2,Y2,Z2,J2,Q2,t$,e$,r$,n$,o$,s$,yv,yv,bv,bv,i$,l$,a$,u$,c$,p$,m$,f$,d$,h$,g$,x$,y$];for(let r of N5)h1(r);O().prototype.abs=function(){return this.throwIfDisposed(),Ee(this)};O().prototype.acos=function(){return this.throwIfDisposed(),ax(this)};O().prototype.acosh=function(){return this.throwIfDisposed(),lx(this)};O().prototype.add=function(r){return this.throwIfDisposed(),X(this,r)};O().prototype.all=function(r,t){return this.throwIfDisposed(),Zp(this,r,t)};O().prototype.any=function(r,t){return this.throwIfDisposed(),qu(this,r,t)};O().prototype.argMax=function(r){return this.throwIfDisposed(),Ai(this,r)};O().prototype.argMin=function(r){return this.throwIfDisposed(),ux(this,r)};O().prototype.asScalar=function(){return this.throwIfDisposed(),E(this.size===1,()=>\"The array must have only 1 element.\"),R(this,[])};O().prototype.asType=function(r){return this.throwIfDisposed(),J(this,r)};O().prototype.as1D=function(){return this.throwIfDisposed(),R(this,[this.size])};O().prototype.as2D=function(r,t){return this.throwIfDisposed(),R(this,[r,t])};O().prototype.as3D=function(r,t,e){return this.throwIfDisposed(),R(this,[r,t,e])};O().prototype.as4D=function(r,t,e,n){return this.throwIfDisposed(),R(this,[r,t,e,n])};O().prototype.as5D=function(r,t,e,n,o){return this.throwIfDisposed(),R(this,[r,t,e,n,o])};O().prototype.asin=function(){return this.throwIfDisposed(),cx(this)};O().prototype.asinh=function(){return this.throwIfDisposed(),px(this)};O().prototype.atan=function(){return this.throwIfDisposed(),mx(this)};O().prototype.atan2=function(r){return this.throwIfDisposed(),fx(this,r)};O().prototype.atanh=function(){return this.throwIfDisposed(),dx(this)};O().prototype.avgPool=function(r,t,e,n){return this.throwIfDisposed(),Yl(this,r,t,e,n)};O().prototype.batchToSpaceND=function(r,t){return this.throwIfDisposed(),Zl(this,r,t)};O().prototype.batchNorm=function(r,t,e,n,o){return this.throwIfDisposed(),Di(this,r,t,e,n,o)};O().prototype.broadcastTo=function(r){return this.throwIfDisposed(),Ri(this,r)};O().prototype.cast=function(r){return this.throwIfDisposed(),J(this,r)};O().prototype.ceil=function(){return this.throwIfDisposed(),Cx(this)};O().prototype.clipByValue=function(r,t){return this.throwIfDisposed(),Cr(this,r,t)};O().prototype.concat=function(r,t){return this.throwIfDisposed(),r instanceof Ft&&(r=[r]),ne([this,...r],t)};O().prototype.conv1d=function(r,t,e,n,o,s){return this.throwIfDisposed(),Qp(this,r,t,e,n,o,s)};O().prototype.conv2dTranspose=function(r,t,e,n,o){return this.throwIfDisposed(),em(this,r,t,e,n,o)};O().prototype.conv2d=function(r,t,e,n,o,s){return this.throwIfDisposed(),In(this,r,t,e,n,o,s)};O().prototype.cos=function(){return this.throwIfDisposed(),Jl(this)};O().prototype.cosh=function(){return this.throwIfDisposed(),rm(this)};O().prototype.cumprod=function(r,t,e){return this.throwIfDisposed(),Xu(this,r,t,e)};O().prototype.cumsum=function(r,t,e){return this.throwIfDisposed(),nm(this,r,t,e)};O().prototype.depthToSpace=function(r,t){return this.throwIfDisposed(),_x(this,r,t)};O().prototype.depthwiseConv2d=function(r,t,e,n,o,s){return this.throwIfDisposed(),Fi(this,r,t,e,n,o,s)};O().prototype.dilation2d=function(r,t,e,n,o){return this.throwIfDisposed(),Ax(this,r,t,e,n,o)};O().prototype.divNoNan=function(r){return this.throwIfDisposed(),$x(this,r)};O().prototype.div=function(r){return this.throwIfDisposed(),pt(this,r)};O().prototype.dot=function(r){return this.throwIfDisposed(),Dx(this,r)};O().prototype.elu=function(){return this.throwIfDisposed(),Oi(this)};O().prototype.equal=function(r){return this.throwIfDisposed(),$r(this,r)};O().prototype.erf=function(){return this.throwIfDisposed(),Rx(this)};O().prototype.euclideanNorm=function(r,t){return this.throwIfDisposed(),Fx(this,r,t)};O().prototype.exp=function(){return this.throwIfDisposed(),er(this)};O().prototype.expandDims=function(r){return this.throwIfDisposed(),rr(this,r)};O().prototype.expm1=function(){return this.throwIfDisposed(),Ox(this)};O().prototype.fft=function(){return this.throwIfDisposed(),au(this)};O().prototype.flatten=function(){return this.throwIfDisposed(),R(this,[this.size])};O().prototype.floor=function(){return this.throwIfDisposed(),Pi(this)};O().prototype.floorDiv=function(r){return this.throwIfDisposed(),Yp(this,r)};O().prototype.gather=function(r,t){return this.throwIfDisposed(),Li(this,r,t)};O().prototype.greaterEqual=function(r){return this.throwIfDisposed(),ln(this,r)};O().prototype.greater=function(r){return this.throwIfDisposed(),Re(this,r)};O().prototype.ifft=function(){return this.throwIfDisposed(),tl(this)};O().prototype.irfft=function(){return this.throwIfDisposed(),xm(this)};O().prototype.isFinite=function(){return this.throwIfDisposed(),Px(this)};O().prototype.isInf=function(){return this.throwIfDisposed(),Lx(this)};O().prototype.isNaN=function(){return this.throwIfDisposed(),Mx(this)};O().prototype.leakyRelu=function(r){return this.throwIfDisposed(),Ql(this,r)};O().prototype.lessEqual=function(r){return this.throwIfDisposed(),Ln(this,r)};O().prototype.less=function(r){return this.throwIfDisposed(),om(this,r)};O().prototype.localResponseNormalization=function(r,t,e,n){return this.throwIfDisposed(),zx(this,r,t,e,n)};O().prototype.logSigmoid=function(){return this.throwIfDisposed(),Gx(this)};O().prototype.logSoftmax=function(r){return this.throwIfDisposed(),sm(this,r)};O().prototype.logSumExp=function(r,t){return this.throwIfDisposed(),im(this,r,t)};O().prototype.log=function(){return this.throwIfDisposed(),Sr(this)};O().prototype.log1p=function(){return this.throwIfDisposed(),tu(this)};O().prototype.logicalAnd=function(r){return this.throwIfDisposed(),Rr(this,r)};O().prototype.logicalNot=function(){return this.throwIfDisposed(),eu(this)};O().prototype.logicalOr=function(r){return this.throwIfDisposed(),am(this,r)};O().prototype.logicalXor=function(r){return this.throwIfDisposed(),Wx(this,r)};O().prototype.matMul=function(r,t,e){return this.throwIfDisposed(),Lt(this,r,t,e)};O().prototype.maxPool=function(r,t,e,n){return this.throwIfDisposed(),ru(this,r,t,e,n)};O().prototype.max=function(r,t){return this.throwIfDisposed(),Ir(this,r,t)};O().prototype.maximum=function(r){return this.throwIfDisposed(),Sn(this,r)};O().prototype.mean=function(r,t){return this.throwIfDisposed(),ve(this,r,t)};O().prototype.min=function(r,t){return this.throwIfDisposed(),Ja(this,r,t)};O().prototype.minimum=function(r){return this.throwIfDisposed(),Mi(this,r)};O().prototype.mirrorPad=function(r,t){return this.throwIfDisposed(),qx(this,r,t)};O().prototype.mod=function(r){return this.throwIfDisposed(),Kx(this,r)};O().prototype.mul=function(r){return this.throwIfDisposed(),D(this,r)};O().prototype.neg=function(){return this.throwIfDisposed(),Ht(this)};O().prototype.norm=function(r,t,e){return this.throwIfDisposed(),Qa(this,r,t,e)};O().prototype.notEqual=function(r){return this.throwIfDisposed(),Bs(this,r)};O().prototype.oneHot=function(r,t=1,e=0){return this.throwIfDisposed(),Ei(this,r,t,e)};O().prototype.onesLike=function(){return this.throwIfDisposed(),yr(this)};O().prototype.pad=function(r,t){return this.throwIfDisposed(),cn(this,r,t)};O().prototype.pool=function(r,t,e,n,o,s){return this.throwIfDisposed(),jx(this,r,t,e,n,o,s)};O().prototype.pow=function(r){return this.throwIfDisposed(),an(this,r)};O().prototype.prelu=function(r){return this.throwIfDisposed(),ou(this,r)};O().prototype.prod=function(r,t){return this.throwIfDisposed(),Xx(this,r,t)};O().prototype.reciprocal=function(){return this.throwIfDisposed(),ty(this)};O().prototype.relu=function(){return this.throwIfDisposed(),Fr(this)};O().prototype.relu6=function(){return this.throwIfDisposed(),lm(this)};O().prototype.reshapeAs=function(r){return this.throwIfDisposed(),R(this,r.shape)};O().prototype.reshape=function(r){return this.throwIfDisposed(),R(this,r)};O().prototype.resizeBilinear=function(r,t,e){return this.throwIfDisposed(),gy(this,r,t,e)};O().prototype.resizeNearestNeighbor=function(r,t,e){return this.throwIfDisposed(),xy(this,r,t,e)};O().prototype.reverse=function(r){return this.throwIfDisposed(),pr(this,r)};O().prototype.rfft=function(){return this.throwIfDisposed(),lu(this)};O().prototype.round=function(){return this.throwIfDisposed(),um(this)};O().prototype.rsqrt=function(){return this.throwIfDisposed(),cm(this)};O().prototype.selu=function(){return this.throwIfDisposed(),pm(this)};O().prototype.separableConv2d=function(r,t,e,n,o,s){return this.throwIfDisposed(),mm(this,r,t,e,n,o,s)};O().prototype.sigmoid=function(){return this.throwIfDisposed(),Yr(this)};O().prototype.sign=function(){return this.throwIfDisposed(),ey(this)};O().prototype.sin=function(){return this.throwIfDisposed(),fm(this)};O().prototype.sinh=function(){return this.throwIfDisposed(),dm(this)};O().prototype.slice=function(r,t){return this.throwIfDisposed(),Rt(this,r,t)};O().prototype.softmax=function(r){return this.throwIfDisposed(),iu(this,r)};O().prototype.softplus=function(){return this.throwIfDisposed(),zs(this)};O().prototype.spaceToBatchND=function(r,t){return this.throwIfDisposed(),nu(this,r,t)};O().prototype.split=function(r,t){return this.throwIfDisposed(),mr(this,r,t)};O().prototype.sqrt=function(){return this.throwIfDisposed(),Se(this)};O().prototype.square=function(){return this.throwIfDisposed(),Mt(this)};O().prototype.squaredDifference=function(r){return this.throwIfDisposed(),ym(this,r)};O().prototype.squeeze=function(r){return this.throwIfDisposed(),Mn(this,r)};O().prototype.stack=function(r,t){this.throwIfDisposed();let e=r instanceof Ft?[this,r]:[this,...r];return nr(e,t)};O().prototype.step=function(r){return this.throwIfDisposed(),bo(this,r)};O().prototype.stridedSlice=function(r,t,e,n,o,s,i,a){return this.throwIfDisposed(),ry(this,r,t,e,n,o,s,i,a)};O().prototype.sub=function(r){return this.throwIfDisposed(),ct(this,r)};O().prototype.sum=function(r,t){return this.throwIfDisposed(),ft(this,r,t)};O().prototype.tan=function(){return this.throwIfDisposed(),ny(this)};O().prototype.tanh=function(){return this.throwIfDisposed(),$i(this)};O().prototype.tile=function(r){return this.throwIfDisposed(),Dr(this,r)};O().prototype.toBool=function(){return this.throwIfDisposed(),J(this,\"bool\")};O().prototype.toFloat=function(){return this.throwIfDisposed(),J(this,\"float32\")};O().prototype.toInt=function(){return this.throwIfDisposed(),J(this,\"int32\")};O().prototype.topk=function(r,t){return this.throwIfDisposed(),oy(this,r,t)};O().prototype.transpose=function(r){return this.throwIfDisposed(),Ot(this,r)};O().prototype.unique=function(r){return this.throwIfDisposed(),sy(this,r)};O().prototype.unsortedSegmentSum=function(r,t){return this.throwIfDisposed(),wm(this,r,t)};O().prototype.unstack=function(r){return this.throwIfDisposed(),vr(this,r)};O().prototype.where=function(r,t){return this.throwIfDisposed(),_e(r,this,t)};O().prototype.zerosLike=function(){return this.throwIfDisposed(),It(this)};var vn=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,vn.prototype)}},Hr=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,Hr.prototype)}},M=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,M.prototype)}},St=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,St.prototype)}},Im=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,Im.prototype)}};var xh=class{constructor(t){this.maxEntries=t||100,this.cache=new Map}get(t){let e;return this.cache.has(t)&&(e=this.cache.get(t),this.cache.delete(t),this.cache.set(t,e)),e}put(t,e){if(this.cache.has(t))this.cache.delete(t);else if(this.cache.size>=this.maxEntries){let n=this.cache.keys().next().value;this.cache.delete(n)}this.cache.set(t,e)}getMaxEntries(){return this.maxEntries}setMaxEntries(t){if(t<0)throw new Error(`The maxEntries of LRU caches must be at least 0, but got ${t}.`);if(this.maxEntries>t)for(let e=0;ee.toUpperCase())}var Co={};function Sm(r){if(r==null)return null;let t={};return t.className=r.getClassName(),t.config=r.getConfig(),t}function wv(r){if(!(r==null||typeof r!=\"object\"))if(Array.isArray(r))r.forEach(t=>wv(t));else{let t=Object.keys(r);for(let e of t){let n=r[e];n!=null&&typeof n==\"object\"&&(!Array.isArray(n)&&n.type===\"ndarray\"&&typeof n.value==\"number\"?r[e]=n.value:wv(n))}}}function Gi(r,t={},e={},n=\"object\",o=!1){if(typeof r==\"string\"){let s=r,i;if(s in e)i=e[s];else if(s in Co)i=Co[s];else if(i=t[s],i==null)throw new M(`Unknown ${n}: ${r}. This may be due to one of the following reasons:\n1. The ${n} is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code.\n2. The custom ${n} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);return i}else{let s=r;if(s.className==null||s.config==null)throw new M(`${n}: Improper config format: ${JSON.stringify(s)}.\n'className' and 'config' must set.`);let i=s.className,a,u;if(i in e?[a,u]=e[i]:i in Co?[a,u]=Co.className:i in t&&([a,u]=t[i]),a==null)throw new M(`Unknown ${n}: ${i}. This may be due to one of the following reasons:\n1. The ${n} is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code.\n2. The custom ${n} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);if(u!=null){let l={};for(let f of Object.keys(Co))l[f]=Co[f];for(let f of Object.keys(e))l[f]=e[f];let c=s.config;c.customObjects=l;let p=Object.assign({},Co);for(let f of Object.keys(e))Co[f]=e[f];wv(s.config);let m=u(a,s.config,e,o);return Co=Object.assign({},p),m}else{let l=Object.assign({},Co);for(let p of Object.keys(e))Co[p]=e[p];let c=new a(s.config);return Co=Object.assign({},l),c}}}function T5(r,t){return rt?1:0}function yh(r,t){return-1*T5(r,t)}function vo(r){if(r==null)return r;let t=[];for(let e of r)t.indexOf(e)===-1&&t.push(e);return t}function b$(r){if(r==null)throw new M(`Invalid value in obj: ${JSON.stringify(r)}`);for(let t in r)if(r.hasOwnProperty(t))return!1;return!0}function Wi(r,t,e){if(e!=null&&r.indexOf(e)<0)throw new M(`${e} is not a valid ${t}. Valid values are ${r} or null/undefined.`)}function Cy(r,t,e=0,n=1/0){return ro(e>=0),ro(n>=e),Array.isArray(r)&&r.length>=e&&r.length<=n&&r.every(o=>typeof o===t)}function Ze(r,t){Array.isArray(r)?(y.assert(r.length>0,()=>`${t} is unexpectedly an empty array.`),r.forEach((e,n)=>Ze(e,`element ${n+1} of ${t}`))):y.assert(Number.isInteger(r)&&r>0,()=>`Expected ${t} to be a positive integer, but got ${w$(r)}.`)}function w$(r){return r===null?\"null\":Array.isArray(r)?\"[\"+r.map(t=>w$(t)).join(\",\")+\"]\":typeof r==\"string\"?`\"${r}\"`:`${r}`}function C$(r,t,e){let n=e!=null?e():y.now(),o;return(...i)=>{let a=e!=null?e():y.now();return a-n0){let e=`${r}_${t}`;return vm.set(e,1),e}else return r}var _5=new RegExp(/^[A-Za-z0-9][-A-Za-z0-9\\._\\/]*$/);function _$(r){return!!r.match(_5)}function A$(r){return r===parseInt(r.toString(),10)}function No(r,t,e){t==null&&(t=0),e==null&&(e=r.length);let n=1;for(let o=t;ot&&(t=n)}return t}function Zr(r,t){if(t{if(r.shape.length!==2)throw new M(`repeat() expects a rank-2 tensor, but received a rank-${r.shape.length} tensor.`);let e=nl(r,1);return Ey(e,[1,t,1])})}function D$(r){let t=[No(r.shape)];return R(r,t)}function R$(r){if(r.rank<=1)throw new M(`batchFlatten requires a minimum rank of 2. Got rank: ${r.rank}.`);let t=[r.shape[0],No(r.shape,1)];return R(r,t)}function rl(r,t,e){return B(()=>{switch(r.rank){case 1:return hm(r,t,e);case 2:return dh(r,[t,0],[e,r.shape[1]]);case 3:return gm(r,[t,0,0],[e,r.shape[1],r.shape[2]]);case 4:return ec(r,[t,0,0,0],[e,r.shape[1],r.shape[2],r.shape[3]]);case 5:return Rt(r,[t,0,0,0,0],[e,r.shape[1],r.shape[2],r.shape[3],r.shape[4]]);case 6:return Rt(r,[t,0,0,0,0,0],[e,r.shape[1],r.shape[2],r.shape[3],r.shape[4],r.shape[5]]);default:throw new M(`sliceAlongFirstAxis() received an unsupported tensor rank: ${r.rank}`)}})}function vv(r,t,e){return B(()=>{switch(r.rank){case 1:return hm(r,t,e);case 2:return dh(r,[0,t],[r.shape[0],e]);case 3:return gm(r,[0,0,t],[r.shape[0],r.shape[1],e]);case 4:return ec(r,[0,0,0,t],[r.shape[0],r.shape[1],r.shape[2],e]);default:throw new M(`sliceAlongLastAxis() received an unsupported tensor rank: ${r.rank}`)}})}function wh(r,t,e,n){return B(()=>{switch(r.rank){case 1:return hm(r,t,e);case 2:switch(n){case 1:return rl(r,t,e);case 2:return vv(r,t,e);default:throw new M(`The axis is not within the rank of the tensor ${n}`)}case 3:switch(n){case 1:return rl(r,t,e);case 2:return gm(r,[0,t,0],[r.shape[0],e,r.shape[2]]);case 3:return vv(r,t,e);default:throw new M(`The axis is not within the rank of the tensor ${n}`)}case 4:switch(n){case 1:return rl(r,t,e);case 2:return ec(r,[0,t,0,0],[r.shape[0],e,r.shape[2],r.shape[3]]);case 3:return ec(r,[0,0,t,0],[r.shape[0],r.shape[1],e,r.shape[3]]);case 4:return vv(r,t,e);default:throw new M(`The axis is not within the rank of the tensor ${n}`)}default:throw new M(`sliceAlongLastAxis() received an unsupported tensor rank: ${r.rank}`)}})}function Nm(r,t=-1){let e;return t<0&&(e=r[0].rank,e!==0?t=e:t=0),t===r[0].rank&&(t=-1),ne(r,t)}function Tv(r,t){switch(r.rank){case 1:return Ix([r,t]);case 2:return Sx([r,t],0);case 3:return vx([r,t],0);case 4:return Nx([r,t],0);default:throw new M(`concatAlongFirstAxis() received an unsupported tensor rank: ${r.rank}`)}}function Ey(r,t){if(Array.isArray(t)||(t=[t]),r.rank!==t.length)throw new M(`The length of input n (${t.length}) does not match the number of dimensions in input x (${r.rank})`);return Dr(r,t)}function Tm(r,t=0,e=1,n,o){return tc(r,t,e,n,o)}function To(r,t,e,n){if(r.rank<2||t.rank<2)throw new St(`dot requires both inputs to be rank >= 2 but got x shape = ${r.shape} and y shape = ${t.shape}`);if(t.rank>=3){let o=r.shape.slice(-1)[0],s=t.shape.slice(-2)[0];if(o!==s)throw new St(`If rank y >= 3, then the second last dim of y must equal the last dim of x but got x shape = ${r.shape} and y shape = ${t.shape}`)}if(r.rank===2&&t.rank===2)return uu.matMul({a:r,b:t,transposeA:!1,transposeB:!1,bias:n?Nv(r.rank,n,mn()):null,activation:e});{let o=r.shape.slice(),s=o.pop();r=R(r,[-1,s]);let i=t.shape.slice(),a=i.pop(),u=i.pop(),l=[...i,a],c=Array.from({length:t.rank},(d,h)=>h===0?t.rank-2:h<=t.rank-2?h-1:h);t=R(Ot(t,c),[u,-1]);let p=[...o,...l],m=!1,f=!1;return R(uu.matMul({a:r,b:t,transposeA:m,transposeB:f,bias:n?Nv(r.rank,n,mn()):null,activation:e}),p)}}function _y(r,t,e){return B(()=>(Array.isArray(t)?t=Me(t,\"int32\"):t=J(t,\"int32\"),Li(r,t,e)))}function lc(r){return D(r,r)}function Nv(r,t,e){let n=t.shape;if(t.rank!==1&&t.rank!==r)throw new M(`Unexpected bias dimensions: ${t.rank}; expected it to be 1 or ${r}`);if(r===5){if(e===\"channelsFirst\")return n.length===1?R(t,[1,n[0],1,1,1]):R(t,[1,n[3],n[0],n[1],n[2]]);if(e===\"channelsLast\")return n.length===1?R(t,[1,1,1,1,n[0]]):R(t,[1].concat(n))}else if(r===4){if(e===\"channelsFirst\")return n.length===1?R(t,[1,n[0],1,1]):R(t,[1,n[2],n[0],n[1]]);if(e===\"channelsLast\")return n.length===1?R(t,[1,1,1,n[0]]):R(t,[1].concat(n))}else if(r===3){if(e===\"channelsFirst\")return n.length===1?R(t,[1,n[0],1]):R(t,[1,n[1],n[0]]);if(e===\"channelsLast\")return n.length===1?R(t,[1,1,n[0]]):R(t,[1].concat(n))}else if(r<3)return t;throw new M(`Unsupported input rank by biasAdd: ${t.rank}`)}function fn(r,t,e){return B(()=>(e==null&&(e=mn()),Fe(e),X(r,Nv(r.rank,t,e))))}function F$(r,t=1){if(t!==1)throw new St(`Support for alpha values other than 1 (${t}) is not implemented yet.`);return Oi(r)}function O$(r){return B(()=>pt(r,X(Ee(r),1)))}function Ay(r,t,e,n){return B(()=>lv(r,t,e,n))}function P$(r){return B(()=>{let t=X(.5,D(.2,r));return Cr(t,0,1)})}function xu(r,t,e=!1){return e?r():t()}var L$=[\"fanIn\",\"fanOut\",\"fanAvg\"],M$=[\"normal\",\"uniform\",\"truncatedNormal\"];function A5(r){Wi(L$,\"FanMode\",r)}function $5(r){Wi(M$,\"Distribution\",r)}var dn=class extends Q.Serializable{fromConfigUsesCustomObjects(){return!1}getConfig(){return{}}},km=class extends dn{apply(t,e){return Ne(t,e)}};km.className=\"Zeros\";Q.registerClass(km);var yu=class extends dn{apply(t,e){return cr(t,e)}};yu.className=\"Ones\";Q.registerClass(yu);var Em=class extends dn{constructor(t){if(super(),typeof t!=\"object\")throw new M(`Expected argument of type ConstantConfig but got ${t}`);if(t.value===void 0)throw new M(`config must have value set but got ${t}`);this.value=t.value}apply(t,e){return B(()=>D(mt(this.value),cr(t,e)))}getConfig(){return{value:this.value}}};Em.className=\"Constant\";Q.registerClass(Em);var _m=class extends dn{constructor(t){super(),this.DEFAULT_MINVAL=-.05,this.DEFAULT_MAXVAL=.05,this.minval=t.minval||this.DEFAULT_MINVAL,this.maxval=t.maxval||this.DEFAULT_MAXVAL,this.seed=t.seed}apply(t,e){return zi(t,this.minval,this.maxval,e)}getConfig(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}}};_m.className=\"RandomUniform\";Q.registerClass(_m);var Am=class extends dn{constructor(t){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=t.mean||this.DEFAULT_MEAN,this.stddev=t.stddev||this.DEFAULT_STDDEV,this.seed=t.seed}apply(t,e){if(e=e||\"float32\",e!==\"float32\"&&e!==\"int32\")throw new St(`randomNormal does not support dType ${e}.`);return Tm(t,this.mean,this.stddev,e,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};Am.className=\"RandomNormal\";Q.registerClass(Am);var $m=class extends dn{constructor(t){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=t.mean||this.DEFAULT_MEAN,this.stddev=t.stddev||this.DEFAULT_STDDEV,this.seed=t.seed}apply(t,e){if(e=e||\"float32\",e!==\"float32\"&&e!==\"int32\")throw new St(`truncatedNormal does not support dType ${e}.`);return bm(t,this.mean,this.stddev,e,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};$m.className=\"TruncatedNormal\";Q.registerClass($m);var Dm=class extends dn{constructor(t){super(),this.gain=t.gain!=null?t.gain:1}apply(t,e){return B(()=>{if(t.length!==2||t[0]!==t[1])throw new M(\"Identity matrix initializer can only be used for 2D square matrices.\");return D(this.gain,Yu(t[0]))})}getConfig(){return{gain:this.gain}}};Dm.className=\"Identity\";Q.registerClass(Dm);function D5(r,t=\"channelsLast\"){let e,n;if(Fe(t),r.length===2)e=r[0],n=r[1];else if([3,4,5].indexOf(r.length)!==-1){if(t===\"channelsFirst\"){let o=No(r,2);e=r[1]*o,n=r[0]*o}else if(t===\"channelsLast\"){let o=No(r,0,r.length-2);e=r[r.length-2]*o,n=r[r.length-1]*o}}else{let o=No(r);e=Math.sqrt(o),n=Math.sqrt(o)}return[e,n]}var qr=class extends dn{constructor(t){if(super(),t.scale<0)throw new M(`scale must be a positive float. Got: ${t.scale}`);this.scale=t.scale==null?1:t.scale,this.mode=t.mode==null?\"fanIn\":t.mode,A5(this.mode),this.distribution=t.distribution==null?\"normal\":t.distribution,$5(this.distribution),this.seed=t.seed}apply(t,e){let n=D5(t),o=n[0],s=n[1],i=this.scale;if(this.mode===\"fanIn\"?i/=Math.max(1,o):this.mode===\"fanOut\"?i/=Math.max(1,s):i/=Math.max(1,(o+s)/2),this.distribution===\"normal\"){let a=Math.sqrt(i);if(e=e||\"float32\",e!==\"float32\"&&e!==\"int32\")throw new St(`${this.getClassName()} does not support dType ${e}.`);return bm(t,0,a,e,this.seed)}else{let a=Math.sqrt(3*i);return zi(t,-a,a,e)}}getConfig(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}}};qr.className=\"VarianceScaling\";Q.registerClass(qr);var uc=class extends qr{constructor(t){super({scale:1,mode:\"fanAvg\",distribution:\"uniform\",seed:t==null?null:t.seed})}getClassName(){return qr.className}};uc.className=\"GlorotUniform\";Q.registerClass(uc);var cc=class extends qr{constructor(t){super({scale:1,mode:\"fanAvg\",distribution:\"normal\",seed:t==null?null:t.seed})}getClassName(){return qr.className}};cc.className=\"GlorotNormal\";Q.registerClass(cc);var pc=class extends qr{constructor(t){super({scale:2,mode:\"fanIn\",distribution:\"normal\",seed:t==null?null:t.seed})}getClassName(){return qr.className}};pc.className=\"HeNormal\";Q.registerClass(pc);var mc=class extends qr{constructor(t){super({scale:2,mode:\"fanIn\",distribution:\"uniform\",seed:t==null?null:t.seed})}getClassName(){return qr.className}};mc.className=\"HeUniform\";Q.registerClass(mc);var fc=class extends qr{constructor(t){super({scale:1,mode:\"fanIn\",distribution:\"normal\",seed:t==null?null:t.seed})}getClassName(){return qr.className}};fc.className=\"LeCunNormal\";Q.registerClass(fc);var dc=class extends qr{constructor(t){super({scale:1,mode:\"fanIn\",distribution:\"uniform\",seed:t==null?null:t.seed})}getClassName(){return qr.className}};dc.className=\"LeCunNormal\";Q.registerClass(dc);var Rm=class extends dn{constructor(t){if(super(),this.DEFAULT_GAIN=1,this.gain=t.gain==null?this.DEFAULT_GAIN:t.gain,this.seed=t.seed,this.seed!=null)throw new St(\"Random seed is not implemented for Orthogonal Initializer yet.\")}apply(t,e){return B(()=>{if(t.length<2)throw new St(\"Shape must be at least 2D.\");t[0]*t[1]>2e3&&console.warn(`Orthogonal initializer is being called on a matrix with more than 2000 (${t[0]*t[1]}) elements: Slowness may result.`);let n=t[0]>t[1]?[t[1],t[0]]:t,o=Tm(n,0,1,\"float32\"),s=pv.gramSchmidt(o);return t[0]>t[1]&&(s=Ot(s)),D(this.gain,s)})}getConfig(){return{gain:this.gain,seed:this.seed}}};Rm.className=\"Orthogonal\";Q.registerClass(Rm);var z$={constant:\"Constant\",glorotNormal:\"GlorotNormal\",glorotUniform:\"GlorotUniform\",heNormal:\"HeNormal\",heUniform:\"HeUniform\",identity:\"Identity\",leCunNormal:\"LeCunNormal\",leCunUniform:\"LeCunUniform\",ones:\"Ones\",orthogonal:\"Orthogonal\",randomNormal:\"RandomNormal\",randomUniform:\"RandomUniform\",truncatedNormal:\"TruncatedNormal\",varianceScaling:\"VarianceScaling\",zeros:\"Zeros\"};function B$(r,t={}){return Gi(r,Q.SerializationMap.getMap().classNameMap,t,\"initializer\")}function Te(r){return Sm(r)}function de(r){if(typeof r==\"string\"){let t=r in z$?z$[r]:r;if(t===\"GlorotNormal\")return new cc;if(t===\"GlorotUniform\")return new uc;if(t===\"HeNormal\")return new pc;if(t===\"HeUniform\")return new mc;if(t===\"LeCunNormal\")return new fc;if(t===\"LeCunUniform\")return new dc;{let e={};return e.className=t,e.config={},B$(e)}}else return r instanceof dn?r:B$(r)}function $y(r){return Array.isArray(r)&&Array.isArray(r[0])}function Fm(r){return r.length===0?[]:Array.isArray(r[0])?r:[r]}function Nt(r){let t;if(Array.isArray(r)){if(r.length!==1)throw new M(`Expected Tensor length to be 1; got ${r.length}`);t=r[0]}else t=r;return t}function Bt(r){if(Array.isArray(r)&&Array.isArray(r[0])){if(r.length===1)return r=r,r[0];throw new M(`Expected exactly 1 Shape; got ${r.length}`)}else return r}function Om(r){let t=0;for(let e of r)e.shape.length===0?t+=1:t+=e.shape.reduce((n,o)=>n*o);return t}var G$=\"Variable\",Ch=class{constructor(t,e=\"float32\",n=G$,o=!0,s=null){this.dtype=e==null?\"float32\":e,this.shape=t.shape,this.id=vy(),n=n==null?G$:n,this.originalName=Ny(n),this.name=Ty(this.originalName),this.trainable_=o,this.constraint=s,this.val=iy(t,this.trainable_,this.name,this.dtype)}read(){return this.assertNotDisposed(),this.val}write(t){return this.assertNotDisposed(),F5(this.val,t),this.val.id!==t.id&&(this.val.assign(t),this.constraint!=null&&this.val.assign(this.constraint.apply(this.val))),this}dispose(){this.assertNotDisposed(),this.val.dispose()}assertNotDisposed(){if(this.val.isDisposed)throw new Error(`LayersVariable ${this.name} is already disposed.`)}get trainable(){return this.trainable_}set trainable(t){this.trainable_=t,this.val.trainable=t}};function F5(r,t){if(r.shape.toString()!==t.shape.toString())throw new Error(\"Shape mismatch: \"+JSON.stringify(r.shape)+\" vs. \"+JSON.stringify(t.shape))}function Ih(r){return r.map(t=>t.read())}function Pm(r){r.forEach(t=>{t[0].write(t[1])})}var ye=class{constructor(t){this.dtype=t.dtype,this.shape=t.shape,t.shape!=null?this.ndim=t.shape.length:this.ndim=t.ndim,this.maxNDim=t.maxNDim,this.minNDim=t.minNDim,this.axes=t.axes||{}}},Jr=class{constructor(t,e,n,o,s,i,a){this.dtype=t,this.shape=e,this.sourceLayer=n,this.inputs=o,this.callArgs=s,this.outputTensorIndex=a,this.id=vy(),i!=null&&(this.originalName=Ny(i),this.name=Ty(this.originalName)),this.rank=e.length}},O5=0,ol=class{constructor(t,e){this.callArgs=e,this.id=O5++,this.outboundLayer=t.outboundLayer,this.inboundLayers=t.inboundLayers,this.nodeIndices=t.nodeIndices,this.tensorIndices=t.tensorIndices,this.inputTensors=t.inputTensors,this.outputTensors=t.outputTensors,this.inputMasks=t.inputMasks,this.outputMasks=t.outputMasks,this.inputShapes=t.inputShapes,this.outputShapes=t.outputShapes;for(let n of t.inboundLayers)n!=null&&n.outboundNodes.push(this);t.outboundLayer.inboundNodes.push(this)}getConfig(){let t=[];for(let e of this.inboundLayers)e!=null?t.push(e.name):t.push(null);return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:t,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}}},P5=0,$t=class extends Q.Serializable{constructor(t={}){super(),this._callHook=null,this._addedWeightNames=[],this._stateful=!1,this.id=P5++,this.activityRegularizer=null,this.inputSpec=null,this.supportsMasking=!1,this._trainableWeights=[],this._nonTrainableWeights=[],this._losses=[],this._updates=[],this._built=!1,this.inboundNodes=[],this.outboundNodes=[];let e=t.name;if(!e){let n=this.getClassName();e=So(n)+\"_\"+gu(n)}if(this.name=e,this.trainable_=t.trainable==null?!0:t.trainable,t.inputShape!=null||t.batchInputShape!=null){let n;if(t.batchInputShape!=null)n=t.batchInputShape;else if(t.inputShape!=null){let s=null;t.batchSize!=null&&(s=t.batchSize),n=[s].concat(t.inputShape)}this.batchInputShape=n;let o=t.dtype;o==null&&(o=t.inputDType),o==null&&(o=\"float32\"),this.dtype=o}t.weights!=null?this.initialWeights=t.weights:this.initialWeights=null,this._refCount=null,this.fastWeightInitDuringBuild=!1}static nodeKey(t,e){return t.name+\"_ib-\"+e.toString()}getNodeAtIndex(t,e){if(this.inboundNodes.length===0)throw new Hr(`The layer has never been called and thus has no defined ${e}.`);if(this.inboundNodes.length<=t)throw new M(`Asked to get ${e} at node ${t}, but the layer has only ${this.inboundNodes.length} inbound nodes.`);return this.inboundNodes[t]}getInputAt(t){return Nr(this.getNodeAtIndex(t,\"input\").inputTensors)}getOutputAt(t){return Nr(this.getNodeAtIndex(t,\"output\").outputTensors)}get input(){if(this.inboundNodes.length>1)throw new vn(`Layer ${this.name} has multiple inbound nodes, hence the notion of \"layer input\" is ill-defined. Use \\`getInputAt(nodeIndex)\\` instead.`);if(this.inboundNodes.length===0)throw new vn(`Layer ${this.name} is not connected, no input to return.`);return Nr(this.getNodeAtIndex(0,\"input\").inputTensors)}get output(){if(this.inboundNodes.length===0)throw new vn(`Layer ${this.name} has no inbound nodes.`);if(this.inboundNodes.length>1)throw new vn(`Layer ${this.name} has multiple inbound nodes, hence the notion of \"layer output\" is ill-defined. Use \\`getOutputAt(nodeIndex)\\` instead.`);return Nr(this.getNodeAtIndex(0,\"output\").outputTensors)}get losses(){return this._losses}calculateLosses(){return this.losses.map(t=>t())}get updates(){return this._updates}get built(){return this._built}set built(t){this._built=t}get trainable(){return this.trainable_}set trainable(t){this._trainableWeights.forEach(e=>e.trainable=t),this.trainable_=t}get trainableWeights(){return this.trainable_?this._trainableWeights.filter(t=>t.trainable):[]}set trainableWeights(t){this._trainableWeights=t}get nonTrainableWeights(){return this.trainable?this._trainableWeights.filter(t=>!t.trainable).concat(this._nonTrainableWeights):this._trainableWeights.concat(this._nonTrainableWeights)}set nonTrainableWeights(t){this._nonTrainableWeights=t}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}get stateful(){return this._stateful}resetStates(){if(!this.stateful)throw new Error(\"Cannot call the resetStates() method of a non-stateful Layer object.\")}assertInputCompatibility(t){if(t=xe(t),this.inputSpec==null||this.inputSpec.length===0)return;let e=xe(this.inputSpec);if(t.length!==e.length)throw new M(`Layer ${this.name} expects ${e.length} inputs, but it received ${t.length} input tensors. Input received: ${t}`);for(let n=0;ns.maxNDim)throw new M(`Input ${n} is incompatible with layer ${this.name}: expected max_ndim=${s.maxNDim}, found ndim=${i}`);if(s.minNDim!=null&&i=0?a[l]:a[a.length+l];if(c!=null&&[c,null].indexOf(p)===-1)throw new M(`Input ${n} is incompatible with layer ${this.name}: expected axis ${l} of input shape to have value ${c} but got shape ${a}.`)}}if(s.shape!=null)for(let a=0;a{if(!this.built){this.assertInputCompatibility(t);let i=[];for(let a of xe(t))i.push(a.shape);this.build(Nr(i)),this.built=!0,this.initialWeights&&this.setWeights(this.initialWeights),this._refCount===null&&s&&(this._refCount=1)}if(this.assertInputCompatibility(t),s){let i=this.call(t,e),a=xe(i),u=[];for(let l of a)n.indexOf(l)!==-1&&(l=l.clone()),u.push(l);if(i=Nr(u),this.activityRegularizer!=null)throw new St(\"Layer invocation in the presence of activity regularizer(s) is not supported yet.\");return i}else{let i=L5(t),a=this.computeOutputShape(i),u,l=M5(t);if(this.warnOnIncompatibleInputShape(Array.isArray(t)?i[0]:i),a!=null&&a.length>0&&Array.isArray(a[0])?u=a.map((c,p)=>new Jr(l,c,this,xe(t),e,this.name,p)):u=new Jr(l,a,this,xe(t),e,this.name),this.addInboundNode(t,u,null,null,i,a,e),this._refCount++,this.activityRegularizer!=null)throw new St(\"Layer invocation in the presence of activity regularizer(s) is not supported yet.\");return u}})}warnOnIncompatibleInputShape(t){if(this.batchInputShape!=null)if(t.length!==this.batchInputShape.length)console.warn(`The rank of the input tensor provided (shape: ${JSON.stringify(t)}) does not match that of the batchInputShape (${JSON.stringify(this.batchInputShape)}) of the layer ${this.name}`);else{let e=!1;this.batchInputShape.forEach((n,o)=>{n!=null&&t[o]!=null&&t[o]!==n&&(e=!0)}),e&&console.warn(`The shape of the input tensor (${JSON.stringify(t)}) does not match the expectation of layer ${this.name}: ${JSON.stringify(this.batchInputShape)}`)}}get outputShape(){if(this.inboundNodes==null||this.inboundNodes.length===0)throw new vn(`The layer ${this.name} has never been called and thus has no defined output shape.`);let t=[];for(let e of this.inboundNodes){let n=JSON.stringify(e.outputShapes);t.indexOf(n)===-1&&t.push(n)}if(t.length===1){let e=this.inboundNodes[0].outputShapes;return Array.isArray(e)&&Array.isArray(e[0])&&e.length===1?e[0]:e}else throw new vn(`The layer ${this.name} has multiple inbound nodes with different output shapes. Hence the notion of \"output shape\" is ill-defined for the layer.`)}countParams(){if(!this.built)throw new Hr(`You tried to call countParams() on ${this.name}, but the layer is not built yet. Build it first by calling build(batchInputShape).`);return Om(this.weights)}build(t){this.built=!0}getWeights(t=!1){return Ih(t?this.trainableWeights:this.weights)}setWeights(t){B(()=>{let e=this.weights;if(e.length!==t.length)throw new M(`You called setWeights(weights) on layer \"${this.name}\" with a weight list of length ${t.length}, but the layer was expecting ${e.length} weights. Provided weights: ${t}...`);if(e.length===0)return;let n=[],o=Ih(e);for(let s=0;ss.apply(c.read())),i==null&&(i=!0),i?this._trainableWeights.push(c):this._nonTrainableWeights.push(c),c}setFastWeightInitDuringBuild(t){this.fastWeightInitDuringBuild=t}addLoss(t){t==null||Array.isArray(t)&&t.length===0||(t=xe(t),this._losses!==void 0&&this._losses!==null&&this.losses.push(...t))}computeOutputShape(t){return t}computeMask(t,e){if(!this.supportsMasking){if(e!=null)if(Array.isArray(e))e.forEach(n=>{if(n!=null)throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`)});else throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`);return null}return e}addInboundNode(t,e,n,o,s,i,a=null){let u=xe(t);e=xe(e),n=xe(n),o=xe(o),s=Fm(s),i=Fm(i);let l=[],c=[],p=[];for(let m of u)l.push(m.sourceLayer),c.push(m.nodeIndex),p.push(m.tensorIndex);new ol({outboundLayer:this,inboundLayers:l,nodeIndices:c,tensorIndices:p,inputTensors:u,outputTensors:e,inputMasks:n,outputMasks:o,inputShapes:s,outputShapes:i},a);for(let m=0;mt.dispose()),this.weights.length}assertNotDisposed(){if(this._refCount===0)throw new Error(`Layer '${this.name}' is already disposed.`)}dispose(){if(!this.built)throw new Error(`Cannot dispose Layer ${this.name} because it has not been built yet.`);if(this._refCount===null)throw new Error(`Cannot dispose Layer ${this.name} because it has not been used yet.`);this.assertNotDisposed();let t=0;return--this._refCount===0&&(t=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:t}}};function L5(r){r=xe(r);let t=[];for(let e of r)t.push(e.shape);return Nr(t)}function M5(r){return\"float32\"}function kv(r,t,e){if((t==null||e!=null&&e>0)&&(t=r.sourceLayer,e=r.nodeIndex),t.inboundNodes.length===0)return[r];{let n=t.inboundNodes[e];if(n.inboundLayers.length===0)return n.inputTensors;{let o=[];for(let s=0;sd.name),u=[],l=t.names();for(let d of a)l.indexOf(d)!==-1?u.push(t.getValue(d)):u.push(null);n!=null&&(n.maxNumTensors=-1/0,n.minNumTensors=1/0);let c=a.join(\",\")+\"|\"+t.names().sort().join(\",\"),p=Ry.get(c),m;if(p==null){let d=B5(i,t);p=d.sorted,m=d.recipientCounts,Ry.put(c,p),Fy.put(c,m)}m={},o||Object.assign(m,Fy.get(c));let f=new ko(t);for(let d=0;dn.maxNumTensors&&(n.maxNumTensors=F),F0,()=>\"Expected at least one fetch, got none\");let e=[],n={};if(r.length===1){let o=W$(r[0],t);e=o.sorted,n=o.recipientMap}else{let o=new Set;for(let s of r){let{sorted:i,recipientMap:a}=W$(s,t);for(let u of i)o.has(u.name)||(e.push(u),o.add(u.name));for(let u in a)n[u]==null&&(n[u]=new Set),a[u].forEach(l=>n[u].add(l))}}return{sorted:e,recipientCounts:V5(n)}}function V5(r){let t={};for(let e in r)t[e]=r[e].size;return t}function W$(r,t){let e=new Set,n=[],o={};for(let a of t.names())e.add(a);let s=[],i=[];for(s.push(r);s.length>0;){let a=s[s.length-1];if(e.has(a.name)){s.pop();continue}let u=i[i.length-1]===s.length-1;if(a.inputs.length===0||u)s.pop(),n.push(a),e.add(a.name),u&&i.pop();else{i.push(s.length-1);for(let l of a.inputs)o[l.name]==null&&(o[l.name]=new Set),o[l.name].add(a.name),!e.has(l.name)&&s.push(l)}}return{sorted:n,recipientMap:o}}function G5(r){let t;if(r.sourceLayer.inboundNodes.length===1)t=r.sourceLayer.output;else{let e=null;for(let n=0;n100,U$);var K$={};Wt(K$,{maxNorm:()=>U5,minMaxNorm:()=>K5,nonNeg:()=>q5,unitNorm:()=>H5});function Ev(r,t){return B(()=>Se(ft(D(r,r),t,!0)))}var gc=class extends Q.Serializable{getConfig(){return{}}},Lm=class extends gc{constructor(t){super(),this.defaultMaxValue=2,this.defaultAxis=0,this.maxValue=t.maxValue!=null?t.maxValue:this.defaultMaxValue,this.axis=t.axis!=null?t.axis:this.defaultAxis}apply(t){return B(()=>{let e=Ev(t,this.axis),n=Cr(e,0,this.maxValue);return D(t,pt(n,X(ir(),e)))})}getConfig(){return{maxValue:this.maxValue,axis:this.axis}}};Lm.className=\"MaxNorm\";Q.registerClass(Lm);var Mm=class extends gc{constructor(t){super(),this.defaultAxis=0,this.axis=t.axis!=null?t.axis:this.defaultAxis}apply(t){return B(()=>pt(t,X(ir(),Ev(t,this.axis))))}getConfig(){return{axis:this.axis}}};Mm.className=\"UnitNorm\";Q.registerClass(Mm);var zm=class extends gc{apply(t){return Fr(t)}};zm.className=\"NonNeg\";Q.registerClass(zm);var Bm=class extends gc{constructor(t){super(),this.defaultMinValue=0,this.defaultMaxValue=1,this.defaultRate=1,this.defaultAxis=0,this.minValue=t.minValue!=null?t.minValue:this.defaultMinValue,this.maxValue=t.maxValue!=null?t.maxValue:this.defaultMaxValue,this.rate=t.rate!=null?t.rate:this.defaultRate,this.axis=t.axis!=null?t.axis:this.defaultAxis}apply(t){return B(()=>{let e=Ev(t,this.axis),n=X(D(this.rate,Cr(e,this.minValue,this.maxValue)),D(1-this.rate,e));return D(t,pt(n,X(ir(),e)))})}getConfig(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}}};Bm.className=\"MinMaxNorm\";Q.registerClass(Bm);var H$={maxNorm:\"MaxNorm\",minMaxNorm:\"MinMaxNorm\",nonNeg:\"NonNeg\",unitNorm:\"UnitNorm\"};function ze(r){return Sm(r)}function q$(r,t={}){return Gi(r,Q.SerializationMap.getMap().classNameMap,t,\"constraint\")}function Be(r){if(r==null)return null;if(typeof r==\"string\"){let e={className:r in H$?H$[r]:r,config:{}};return q$(e)}else return r instanceof gc?r:q$(r)}function U5(r){return new Lm(r)}function H5(r){return new Mm(r)}function q5(){return new zm}function K5(r){return new Bm(r)}var j$={};Wt(j$,{constant:()=>Y5,glorotNormal:()=>n8,glorotUniform:()=>r8,heNormal:()=>o8,heUniform:()=>s8,identity:()=>t8,leCunNormal:()=>i8,leCunUniform:()=>a8,ones:()=>X5,orthogonal:()=>l8,randomNormal:()=>J5,randomUniform:()=>Z5,truncatedNormal:()=>Q5,varianceScaling:()=>e8,zeros:()=>j5});function j5(){return new km}function X5(){return new yu}function Y5(r){return new Em(r)}function Z5(r){return new _m(r)}function J5(r){return new Am(r)}function Q5(r){return new $m(r)}function t8(r){return new Dm(r)}function e8(r){return new qr(r)}function r8(r){return new uc(r)}function n8(r){return new cc(r)}function o8(r){return new pc(r)}function s8(r){return new mc(r)}function i8(r){return new fc(r)}function a8(r){return new dc(r)}function l8(r){return new Rm(r)}var ED={};Wt(ED,{Layer:()=>$t,RNN:()=>Tn,RNNCell:()=>ll,activation:()=>vY,add:()=>RY,alphaDropout:()=>gZ,average:()=>FY,averagePooling1d:()=>Gv,averagePooling2d:()=>Wv,averagePooling3d:()=>Uv,avgPool1d:()=>WY,avgPool2d:()=>HY,avgPool3d:()=>KY,avgPooling1d:()=>UY,avgPooling2d:()=>qY,avgPooling3d:()=>jY,batchNormalization:()=>BY,bidirectional:()=>lZ,categoryEncoding:()=>wZ,concatenate:()=>OY,conv1d:()=>hY,conv2d:()=>gY,conv2dTranspose:()=>xY,conv3d:()=>yY,conv3dTranspose:()=>bY,convLstm2d:()=>oZ,convLstm2dCell:()=>sZ,cropping2D:()=>CY,dense:()=>NY,depthwiseConv2d:()=>SY,dot:()=>zY,dropout:()=>TY,elu:()=>uY,embedding:()=>DY,flatten:()=>EY,gaussianDropout:()=>hZ,gaussianNoise:()=>dZ,globalAveragePooling1d:()=>XY,globalAveragePooling2d:()=>YY,globalMaxPool1d:()=>cZ,globalMaxPool2d:()=>pZ,globalMaxPooling1d:()=>vD,globalMaxPooling2d:()=>ND,gru:()=>JY,gruCell:()=>QY,input:()=>Pv,inputLayer:()=>lY,layerNormalization:()=>VY,leakyReLU:()=>pY,lstm:()=>tZ,lstmCell:()=>eZ,masking:()=>xZ,maxPool1d:()=>mZ,maxPool2d:()=>fZ,maxPooling1d:()=>TD,maxPooling2d:()=>kD,maxPooling3d:()=>ZY,maximum:()=>PY,minimum:()=>LY,multiply:()=>MY,permute:()=>$Y,prelu:()=>mY,reLU:()=>cY,repeatVector:()=>_Y,rescaling:()=>yZ,reshape:()=>AY,resizing:()=>bZ,rnn:()=>iZ,separableConv2d:()=>wY,simpleRNN:()=>rZ,simpleRNNCell:()=>nZ,softmax:()=>fY,spatialDropout1d:()=>kY,stackedRNNCells:()=>aZ,thresholdedReLU:()=>dY,timeDistributed:()=>uZ,upSampling2d:()=>IY,zeroPadding2d:()=>GY});async function Ui(r){if(r==null)return;let t=[],e=[],n=[];for(let o in r){let s=r[o];if(typeof s!=\"number\"){let i=s;t.push(i.data()),e.push(o),n.push(i)}}if(t.length>0){let o=await Promise.all(t);for(let s=0;sX(this.totals[o],D(s,n)));this.totals[o]=a,i!=null&&i.dispose()}}}async onEpochEnd(t,e){if(e!=null)for(let n of this.params.metrics)this.totals[n]!=null&&(typeof this.totals[n]==\"number\"?e[n]=this.totals[n]/this.seen:B(()=>{let o=D(pt(1,this.seen),this.totals[n]);e[n]=o,this.totals[n].dispose(),De(e[n])}))}},Ly=class extends sl{async onTrainBegin(t){this.epoch=[],this.history={}}async onEpochEnd(t,e){e==null&&(e={}),this.epoch.push(t);for(let n in e)this.history[n]==null&&(this.history[n]=[]),this.history[n].push(e[n])}async syncData(){let t=[],e=[],n=[];for(let s in this.history){let i=this.history[s];for(let a=0;anew My(n,t))}var hn=class{constructor(){}static registerCallbackConstructor(t,e){y.assert(t>=0&&Number.isInteger(t),()=>`Verbosity level is expected to be an integer >= 0, but got ${t}`),hn.checkForDuplicate(e),hn.constructors[t]==null&&(hn.constructors[t]=[]),hn.constructors[t].push(e)}static checkForDuplicate(t){for(let e in hn.constructors)hn.constructors[+e].forEach(o=>{if(o===t)throw new M(\"Duplicate callback constructor.\")})}static clear(){hn.constructors={}}static createCallbacks(t){let e=[];for(let n in hn.constructors){let o=+n;t>=o&&e.push(...hn.constructors[o])}return e.map(n=>new n)}};hn.constructors={};function By(r,t,e,n,o,s,i,a,u){let l=new Ly,c=[new _v,...hn.createCallbacks(t)];r!=null&&c.push(...r),c.push(l);let p=new Py(c);return p.setParams({epochs:e,initialEpoch:n,samples:o,steps:s,batchSize:i,verbose:t,doValidation:a,metrics:u}),{callbackList:p,history:l}}function gn(r,t={},e=!1){return Gi(r,Q.SerializationMap.getMap().classNameMap,t,\"layer\",e)}function Sh(r,t){return B(()=>{r.dtype!==\"float32\"&&(r=J(r,\"float32\"));let e=ft(lc(r),t,!0),n=xo(e.shape,ir()),o=Se(Sn(e,n));return pt(r,o)})}function Hi(r,t){return B(()=>ve(lc(ct(t,r)),-1))}function Vm(r,t){return B(()=>ve(Ee(ct(t,r)),-1))}function bu(r,t){return B(()=>{let e=ct(r,t),n=Cr(Ee(r),ir(),Number.MAX_VALUE),o=Ee(pt(e,n));return D(100,ve(o,-1))})}function c8(r,t){return B(()=>{let e=Cr(t,ir(),Number.MAX_VALUE),n=Sr(X(1,e)),o=Cr(r,ir(),Number.MAX_VALUE),s=Sr(X(1,o));return ve(lc(ct(n,s)),-1)})}function p8(r,t){return B(()=>{let e=Sn(0,ct(1,D(r,t)));return ve(lc(e),-1)})}function m8(r,t){return B(()=>{let e=Sn(0,ct(1,D(r,t)));return ve(e,-1)})}function f8(r,t){return B(()=>{let e=ft(D(r,t),-1),n=Ir(D(ct(1,r),t),-1);return Sn(0,X(1,ct(n,e)))})}function d8(r,t){return B(()=>{let e=Math.log(2),n=ct(t,r),o=ct(X(n,zs(D(-2,n))),e);return ve(o,-1)})}function xc(r,t,e=!1){return B(()=>{if(e)t=iu(t);else{let n=ft(t,t.shape.length-1,!0);t=pt(t,n)}return t=Cr(t,ir(),1-ir()),Ht(ft(D(J(r,\"float32\"),Sr(t)),t.shape.length-1))})}function Gm(r,t,e=!1){return B(()=>{let n=J(Pi(D$(r)),\"int32\");t=Cr(t,ir(),1-ir());let o=t.shape,s=R(Ei(n,o[o.length-1]),o);return xc(s,t,e)})}function h8(r,t){if(!y.arraysEqual(r.shape,t.shape))throw new M(`logits and labels must have the same shape, but got shapes ${JSON.stringify(r.shape)} and ${JSON.stringify(t.shape)}`);return B(()=>{let e=Fr(t),n=Ht(Ee(t));return X(ct(e,D(t,r)),tu(er(n)))})}function Wm(r,t){return B(()=>{let e;return e=Cr(t,ir(),1-ir()),e=Sr(pt(e,ct(1,e))),ve(h8(r,e),-1)})}function g8(r,t){return B(()=>{let e=Cr(r,ir(),1),n=Cr(t,ir(),1);return ft(D(r,Sr(pt(e,n))),-1)})}function x8(r,t){return B(()=>{let e=Sr(X(ir(),t));return ve(ct(t,D(r,e)),-1)})}function Nh(r,t){return B(()=>{let e=Sh(r,-1),n=Sh(t,-1),o=D(e,n);return Ht(ft(o,-1))})}var vh={meanSquaredError:Hi,meanAbsoluteError:Vm,meanAbsolutePercentageError:bu,meanSquaredLogarithmicError:c8,squaredHinge:p8,hinge:m8,categoricalHinge:f8,logcosh:d8,categoricalCrossentropy:xc,sparseCategoricalCrossentropy:Gm,binaryCrossentropy:Wm,kullbackLeiblerDivergence:g8,poisson:x8,cosineProximity:Nh};function Vy(r){if(typeof r==\"string\"){if(r in vh)return vh[r];let t=`Unknown loss ${r}`;throw r.toLowerCase().includes(\"softmaxcrossentropy\")&&(t=`Unknown loss ${r}. Use \"categoricalCrossentropy\" as the string name for tf.losses.softmaxCrossEntropy`),new M(t)}else return r}function Th(r,t){return B(()=>{let e=D(.5,yr(t)),n=no(Re(t,e),r.dtype);return ve($r(r,n),-1)})}function kh(r,t){return B(()=>no($r(Ai(r,-1),Ai(t,-1)),\"float32\"))}function Z$(r,t){return B(()=>J(ft(Rr($r(r,1),$r(t,1))),\"float32\"))}function y8(r,t){return B(()=>J(ft(Rr($r(r,1),$r(t,0))),\"float32\"))}function b8(r,t){return B(()=>J(ft(Rr($r(r,0),$r(t,1))),\"float32\"))}function Av(r,t){return B(()=>{let e=Z$(r,t),n=b8(r,t),o=X(e,n);return J(_e(Re(o,0),pt(e,o),0),\"float32\")})}function J$(r,t){return B(()=>{let e=Z$(r,t),n=y8(r,t),o=X(e,n);return J(_e(Re(o,0),pt(e,o),0),\"float32\")})}function Wy(r,t){return Wm(r,t)}function Uy(r,t){return r.rank===t.rank&&(r=Mn(r,[r.rank-1])),t=Ai(t,-1),t.dtype!==r.dtype&&(t=J(t,r.dtype)),J($r(r,t),\"float32\")}var w8=Hi,C8=Hi,I8=Vm,S8=Vm,v8=bu,N8=bu,Eh=xc,T8=Nh,$v=Gm,Gy={binaryAccuracy:Th,categoricalAccuracy:kh,precision:Av,categoricalCrossentropy:Eh,sparseCategoricalCrossentropy:$v,mse:w8,MSE:C8,mae:I8,MAE:S8,mape:v8,MAPE:N8,cosine:T8};function Q$(r){if(typeof r==\"string\"&&r in Gy)return Gy[r];if(typeof r!=\"string\"&&r!=null)return r;throw new M(`Unknown metric ${r}`)}function _h(r){if(ro(r!==null,`Unknown LossOrMetricFn ${r}`),typeof r==\"string\")return r;{let t;for(let e of Object.keys(vh))if(vh[e]===r){t=e;break}if(t!==void 0)return t;for(let e of Object.keys(Gy))if(Gy[e]===r){t=e;break}return t!==void 0?t:r.name}}function eD(r){let t={Adagrad:()=>ic.adagrad(.01),Adadelta:()=>ic.adadelta(1,.95,ir()),Adam:()=>ic.adam(.001,.9,.999,ir()),Adamax:()=>ic.adamax(.002,.9,.999,ir(),0),RMSProp:()=>ic.rmsprop(.001,.9,0,ir()),SGD:()=>ic.sgd(.01)};if(t.adagrad=t.Adagrad,t.adadelta=t.Adadelta,t.adam=t.Adam,t.adamax=t.Adamax,t.rmsprop=t.RMSProp,t.sgd=t.SGD,r in t)return t[r]();throw new M(`Unknown Optimizer ${r}`)}function Rv(r,t,e=!1){if(r==null||typeof r!=\"object\"||Object.getPrototypeOf(r)!==Object.prototype||!Dv(r))throw new Error(\"User-defined metadata is expected to be a JSON object, but is not.\");if(e){let n=JSON.stringify(r);n.length>1048576&&console.warn(`User-defined metadata of model \"${t}\" is too large in size (length=${n.length} when serialized). It is not recommended to store such large objects in user-defined metadata. Please make sure its serialized length is <= ${1048576}.`)}}function Dv(r){if(r===null)return!0;if(typeof r==\"object\")if(Object.getPrototypeOf(r)===Object.prototype){let t=Object.keys(r);for(let e of t)if(typeof e!=\"string\"||!Dv(r[e]))return!1;return!0}else if(Array.isArray(r)){for(let t of r)if(!Dv(t))return!1;return!0}else return!1;else{let t=typeof r;return t===\"string\"||t===\"number\"||t===\"boolean\"}}function rD(r,t,e,n=console.log){let o=_8(r),s=[\"Layer (type)\",\"Input Shape\",\"Output shape\",\"Param #\"];o?(t=t||90,e=e||[.32,.61,.89,1]):(t=t||115,e=e||[.24,.48,.7,.8,1]),e[e.length-1]<=1&&(e=e.map(c=>Math.floor(t*c)));let i;if(!o){s.push(\"Receives inputs\"),i=[];for(let c in r.nodesByDepth)i.push(...r.nodesByDepth[c])}n(\"_\".repeat(t)),Hy(s,e,n),n(\"=\".repeat(t));let a=r.layers;for(let c=0;c1||o.length===1&&o[0].inboundLayers.length>1){t=!1;break}n.push(...o)}if(t)for(let o of r.layers){let s=!1;for(let i of o.inboundNodes)if(n.indexOf(i)!==-1)if(s){t=!1;break}else s=!0;if(!t)break}return t}function Hy(r,t,e=console.log){let n=\"\";for(let o=0;o0&&(n=n.slice(0,n.length-1)+\" \"),n+=r[o],n=n.slice(0,t[o]),n+=\" \".repeat(t[o]-n.length);e(n)}function A8(r,t,e){let n,o;try{o=r.inboundNodes.map(u=>JSON.stringify(u.inputShapes)).join(\",\")}catch(u){o=\"multiple\"}try{n=JSON.stringify(r.outputShape)}catch(u){n=\"multiple\"}let s=r.name,i=r.getClassName(),a=[`${s} (${i})`,o,n,r.countParams().toString()];Hy(a,t,e)}function $8(r,t,e,n){let o,s;try{s=r.inboundNodes.map(p=>JSON.stringify(p.inputShapes)).join(\",\")}catch(p){s=\"multiple\"}try{o=JSON.stringify(r.outputShape)}catch(p){o=\"multiple\"}let i=[];for(let p of r.inboundNodes)if(!(e!=null&&e.length>0&&e.indexOf(p)===-1))for(let m=0;mb.name)}`);vo(this.outputs).length!==this.outputs.length&&console.warn(`The list of outputs passed to the model is redundant. All outputs should only appear once. Found: ${this.outputs.map(b=>b.name)}`),this.inputLayers=[],this.inputLayersNodeIndices=[],this.inputLayersTensorIndices=[],this.outputLayers=[],this.outputLayersNodeIndices=[],this.outputLayersTensorIndices=[],this.layers=[],this.internalContainerRefs=[];for(let b of this.outputs){let w=b.sourceLayer,C=b.nodeIndex,N=b.tensorIndex;this.outputLayers.push(w),this.outputLayersNodeIndices.push(C),this.outputLayersTensorIndices.push(N)}for(let b of this.inputs){let w=b.sourceLayer,C=b.nodeIndex,N=b.tensorIndex;ro(C===0,\"input layer has >1 nodes\"),ro(N===0,\"input layer has >1 tensors\"),this.inputLayers.push(w),this.inputLayersNodeIndices.push(C),this.inputLayersTensorIndices.push(N)}this.inputNames=[],this.outputNames=[],this.feedInputShapes=[],this.feedInputNames=[],this.feedOutputNames=[];for(let b=0;bb.shape),this.internalOutputShapes=this.outputs.map(b=>b.shape);let e={},n={},o={},s={},i={},a=[],u=(b,w,C,N,_,A)=>{(N==null||_==null||A==null)&&(N=b.sourceLayer,_=b.nodeIndex,A=b.tensorIndex);let $=N.inboundNodes[_];if(C.indexOf($)!==-1)throw new Hr(`The tensor ${b.name} at layer \"${N.name}\" is part of a cycle.`);if(w.indexOf($)!==-1)return;this.containerNodes.add(zn.nodeKey(N,_)),N.id in i||(i[N.id]=Object.keys(i).length),C.indexOf($)===-1&&C.push($);let F=$.inboundLayers.length;for(let P=0;P=0;)C.splice(C.indexOf($),1);a.push($)},l=[],c=[];for(let b of this.outputs)u(b,l,c);let p=a.slice().reverse();for(let b of p){n[b.id]=b,b.id in e||(e[b.id]=0);let w=e[b.id],C=o[b.outboundLayer.id]==null?0:o[b.outboundLayer.id];w=Math.max(w,C),o[b.outboundLayer.id]=w,s[b.outboundLayer.id]=b.outboundLayer,e[b.id]=w;for(let N=0;NparseInt(b,10)).sort(yh);this.layers=[];for(let b of d){let w=f[b];w.sort((C,N)=>{let _=i[C.id],A=i[N.id];return _A?1:0});for(let C of w)C instanceof zn&&this.internalContainerRefs.push(C),this.layers.push(C)}this.layersByDepth=f,d=Object.keys(m).map(b=>parseInt(b,10)).sort(yh);let h=this.inputs.slice(),g=[];for(let b of d)for(let w of m[b]){let C=w.outboundLayer;if(C!=null){for(let N of w.inputTensors)if(h.indexOf(N)===-1)throw new Hr(`Graph disconnected: cannot obtain value for tensor ${N} at layer \"${C.name}\". The following previous layers were accessed without issue: ${g}`);for(let N of w.outputTensors)h.push(N);g.push(C.name)}}this.nodesByDepth=m;let x=this.layers.map(b=>b.name);for(let b of x){let w=x.filter(C=>C===b).length;if(w!==1)throw new Hr(`The name \"${b}\" is used ${w} times in the model. All layer names should be unique. Layer names: `+JSON.stringify(x))}this.outboundNodes=[],this.inboundNodes=[],new ol({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:this.inputs.map(b=>null),outputMasks:this.outputs.map(b=>null),inputShapes:this.inputs.map(b=>b.shape),outputShapes:this.outputs.map(b=>b.shape)}),this.built=!0,this._refCount=1}assertNotDisposed(){if(this._refCount===0)throw new Error(`Container '${this.name}' is already disposed.`)}dispose(){this.assertNotDisposed();let t={refCountAfterDispose:null,numDisposedVariables:0};if(--this._refCount===0){for(let e of this.layers)t.numDisposedVariables+=e.dispose().numDisposedVariables;for(let e of this.internalContainerRefs)t.numDisposedVariables+=e.dispose().numDisposedVariables}return t.refCountAfterDispose=this._refCount,t}get trainable(){return this.trainable_}set trainable(t){this.layers.forEach(e=>{e._trainableWeights.forEach(n=>n.trainable=t)}),this.trainable_=t}get trainableWeights(){if(this._trainableWeights.length>0)throw new M(\"Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.\");if(!this.trainable)return[];let t=[];for(let e of this.layers)t=t.concat(e.trainableWeights);return t}get nonTrainableWeights(){let t=[];for(let e of this.layers)t.push(...e.nonTrainableWeights);if(!this.trainable){let e=[];for(let n of this.layers)e.push(...n.trainableWeights);return e.concat(t)}return t}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}loadWeights(t,e=!0){let n={},o=0;for(let i of this.layers)for(let a of i.weights){if(n[a.originalName]!=null)throw new M(`Duplicate weight name: ${a.originalName}`);n[a.originalName]=a,o++}let s=[];for(let i in t){let a=i;if(n[i]==null){let u=i.split(\"/\");a=u.slice(0,-2).concat([u[u.length-1]]).join(\"/\")}if(n[a]!=null)s.push([n[a],t[i]]);else if(e)throw new M(`Provided weight data has no target variable: ${i}`);delete n[a]}if(e){let i=[];for(let a in n)i.push(a);if(i.length>0)throw new M(`${i.length} of ${o} weights are not set: ${i}`)}Pm(s)}updatedConfig(){let t=this.getConfig(),e={};return e.className=this.getClassName(),e.config=t,e.kerasVersion=`tfjs-layers ${Um}`,e.backend=\"TensorFlow.js\",e}toJSON(t,e=!0){let n=qy(this.updatedConfig());return e?JSON.stringify(n):n}call(t,e){return B(()=>{t=xe(t);let n=new ko;for(let o=0;o{t=xe(t);let n;return e==null?n=Io(null,t.length):n=xe(e),this.runInternalGraph(t,n)[1]})}computeOutputShape(t){let e=Fm(t);if(e.length!==this.inputLayers.length)throw new M(`Invalid inputShape argument ${t}: model has ${this.inputLayers.length} tensor inputs.`);let n={};for(let a=0;aparseInt(a,10)).sort(yh);if(o.length>1)for(let a of o){let u=this.nodesByDepth[a];for(let l of u){let c=l.outboundLayer;if(this.inputLayers.map(h=>h.id).indexOf(c.id)!==-1)continue;let p=[];for(let h=0;hparseInt(u,10)).sort(yh);for(let u of o){let l=this.nodesByDepth[u];for(let c of l){let p=c.outboundLayer,m=c.inputTensors,f=c.outputTensors,d=new Array;for(let h of m)h.id in n&&d.push(n[h.id]);if(d.length===m.length){let h={},g,x,b,w;if(c.callArgs!=null&&(h=c.callArgs),d.length===1){let[C,N]=d[0];h.mask==null&&(h.mask=N),b=xe(p.call(C,h)),w=xe(p.computeMask(C,N)),g=[C],x=[N]}else g=d.map(C=>C[0]),x=d.map(C=>C[1]),h.mask==null&&(h.mask=x),b=xe(p.call(g,h)),w=xe(p.computeMask(g,x));if(p.activityRegularizer)throw new St(\"LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.\");for(let C=0;C{let t=[];for(let e of this.layers)for(let n=0;n0){let h=[];for(let g=0;g0&&g.apply(Nr(b),w)}function l(g){let x=g.name,b=gn(g,e.customObjects!=null?e.customObjects:{});b.setFastWeightInitDuringBuild(o),s[x]=b,g.inboundNodes.forEach(C=>{if(!(C instanceof Array))throw new M(`Corrupted configuration, expected array for nodeData: ${C}`);a(b,C)})}let c=e.name,p=e.layers;for(let g of p)l(g);for(;!b$(i);)for(let g of p){let x=s[g.name];if(x.name in i){let b=i[x.name];delete i[x.name];for(let w of b)u(x,w)}}let m=[],f=[],d=e.inputLayers;for(let g of d){let x=g[0],b=g[1],w=g[2];ro(x in s);let N=s[x].inboundNodes[b].outputTensors;m.push(N[w])}let h=e.outputLayers;for(let g of h){let x=g[0],b=g[1],w=g[2];ro(x in s);let N=s[x].inboundNodes[b].outputTensors;f.push(N[w])}return new t({inputs:m,outputs:f,name:c})}get stateful(){if(this._stateful)throw new M(\"Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.\");for(let t of this.layers)if(t.stateful)return!0;return!1}resetStates(){B(()=>{this.layers.forEach(t=>{t.stateful&&t.resetStates()})})}};function D8(r,t,e){let n=t.length;if(r==null||Array.isArray(r)&&r.length===0)return t.map(o=>null);if(n===1)return Array.isArray(r)&&r.length===1?r:typeof r==\"object\"&&t[0]in r?[r[t[0]]]:[r];if(Array.isArray(r)){if(r.length!==n)throw new Error(`Provided ${e} is an array of ${r.length} element(s), but the model has ${n} outputs. Make sure a set of weights is provided for each model output.`);return r}else if(typeof r==\"object\"&&Object.keys(r).length>0&&typeof r[Object.keys(r)[0]]==\"object\"){let o=[];return t.forEach(s=>{s in r?o.push(r[s]):o.push(null)}),o}else throw new Error(`The model has multiple (${n}) outputs, so ${e} must be either an array with ${n} elements or an object with ${t} keys. Provided ${e} not understood: ${JSON.stringify(r)}`)}function Ky(r,t){return D8(r,t,\"classWeight\")}async function jy(r,t,e,n){if(t!=null||n!=null)throw new Error(\"Support sampleWeight is not implemented yet\");if(e!=null){let o=B(()=>{if(r.shape.length===1)return sn(r);if(r.shape.length===2){if(r.shape[1]>1)return Ai(r,1);if(r.shape[1]===1)return R(r,[r.shape[0]]);throw new Error(`Encountered unexpected last-dimension size (${r.shape[1]}) during handling of class weights. The size is expected to be >= 1.`)}else throw new Error(`Unexpected rank of target (y) tensor (${r.rank}) during handling of class weights. The rank is expected to be 1 or 2.`)}),s=Array.from(await o.data());vt(o);let i=[];return s.forEach(a=>{if(e[a]==null)throw new Error(`classWeight must contain all classes in the training data. The class ${a} exists in the data but not in classWeight`);i.push(e[a])}),Me(i,\"float32\")}else return null}function oD(r,t){return D(r,t)}var R8=32;function aD(r,t){let e,n,o=t;e=o.xs,n=o.ys,y.assert(e!=null&&n!=null,()=>`A Dataset iterator for fitDataset() is expected to generate objects of the form \\`{xs: xVal, ys: yVal}\\`, where the two values may be \\`tf.Tensor\\`, an array of Tensors, or a map of string to Tensor. The provided Dataset instead generates ${t}`);let s=sD(\"input\",r.inputNames,e),i=sD(\"output\",r.outputNames,n),a=s[0].shape[0];y.assert(s.length===r.inputs.length,()=>`LayersModel has ${r.inputs.length} inputs, but the dataset provides ${s.length} inputs. (Expected input keys: ${JSON.stringify(r.inputNames)})`),y.assert(i.length===r.outputs.length,()=>`LayersModel has ${r.outputs.length} outputs, but the dataset provides ${i.length} outputs. (Expected output keys: ${JSON.stringify(r.outputNames)})`);for(let u=0;u`Batch size mismatch: input ${r.inputNames[u]} has ${s[u].shape[0]}; expected ${a} based on input ${r.inputNames[0]}.`);for(let u=0;u`Batch size mismatch: output ${r.outputNames[u]} has ${i[u].shape[0]}; expected ${a} based on input ${r.inputNames[0]}.`);return{xs:s,ys:i}}function sD(r,t,e){if(e instanceof Ft)return[e];if(Array.isArray(e))return y.assert(e.length===t.length,()=>`Received an array of ${e.length} Tensors, but expected ${t.length} to match the ${r} keys ${t}.`),e;{let n=[];for(let o of t){if(e[o]==null)throw new M(`The feature data generated by the dataset lacks the required ${r} key '${o}'.`);n.push(e[o])}return n}}function F8(r){if(r.length===3)throw new St(\"Validation with sample weights is not implemented yet.\");return{xs:r[0],ys:r[1]}}async function lD(r,t,e){let n=e.batchesPerEpoch!=null;if(y.assert(r.optimizer!=null,()=>\"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig).\"),y.assert(e!=null,()=>\"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call.\"),y.assert(e.epochs!=null&&e.epochs>0&&Number.isInteger(e.epochs),()=>`For fitDataset(), config.epochs is expected to be a positive integer, but got ${e.epochs}`),y.assert(!n||e.batchesPerEpoch>0&&Number.isInteger(e.batchesPerEpoch),()=>`For fitDataset(), config.batchesPerEpoch is expected to be a positive integer if specified, but got ${e.batchesPerEpoch}`),y.assert(e.validationSplit==null,()=>\"`validationSplit` is not supported by `fitDataset()`. Use validationData instead.\"),r.isTraining)throw new Error(\"Cannot start training because another fit() call is ongoing.\");r.isTraining=!0;try{let o=e.validationData!=null,s,i;if(o)if(iD(e.validationData))y.assert(e.validationBatches==null||e.validationBatches>0&&Number.isInteger(e.validationBatches),()=>`For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, but got ${e.validationBatches}`);else{let g=F8(e.validationData);s=g.xs,i=g.ys}let a=r.makeTrainFunction(),u=r.getDedupedMetricsNames(),l;o?l=u.slice().concat(u.map(g=>\"val_\"+g)):l=u.slice();let c=zy(e.callbacks,e.yieldEvery),p=e.verbose==null?1:e.verbose,{callbackList:m,history:f}=By(c,p,e.epochs,null,null,O8(t,e),null,o,l);m.setModel(r),r.history=f,await m.onTrainBegin(),r.stopTraining_=!1;let d=e.initialEpoch==null?0:e.initialEpoch,h=await t.iterator();for(;d=e.batchesPerEpoch:w.done){if(o){let C;iD(e.validationData)?C=xe(await r.evaluateDataset(e.validationData,{batches:e.validationBatches})):C=xe(r.evaluate(s,i,{batchSize:e.validationBatchSize==null?R8:e.validationBatchSize,verbose:0}));for(let N=0;N0)throw new St(\"Verbose mode is not implemented yet.\");y.assert(!n||e.batches>0&&Number.isInteger(e.batches),()=>`Test loop expects \\`batches\\` to be a positive integer, but received ${JSON.stringify(e.batches)}`);let i=P8(t)?t:await t.iterator(),a=0,u=0;for(;!n||u{if(l.value){let{xs:c,ys:p}=aD(r,l.value),m=c.concat(p),f=B(()=>o(m));if(vt(m),u===0)for(let h=0;hX(s[h],D(d,g))),u>0&&vt(x)}vt(f),a+=d,++u}return s}),l.done){n&&console.warn(`Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least \\`batches\\` batches (in this case, ${e.batches} batches). You may need to use the repeat() function when building your dataset.`);break}}for(let l=0;l0&&Number.isInteger(r),()=>`batchSize is required to be a positive integer, but got ${r}`)}function Hm(r,t,e){return r==null?[null]:Array.isArray(r)?r.map(n=>rl(n,t,e-t)):rl(r,t,e-t)}function Yy(r,t){return B(()=>r==null?null:Array.isArray(r)?r.map(e=>Yy(e,t)):_y(r,t.dtype===\"int32\"?t:J(t,\"int32\")))}function Zy(r,t){let e=[],n=0,o=null;for(;n=r&&(o=r),e.push([n,o]),n=o;return e}async function L8(r,t,e,n,o,s,i,a,u,l,c,p,m,f,d){o==null&&(o=32),s==null&&(s=1),c==null&&(c=!0),m==null&&(m=0);let h=!1;if(u!=null&&l!=null&&(h=!0),d!=null&&(h=!0,f==null))throw new M(\"Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.\");let g=r.checkNumSamples(e,o,f,\"steps_per_epoch\"),x;g!=null&&(x=Zr(0,g)),i==null&&(i=1);let{callbackList:b,history:w}=By(a,i,s,m,g,f,o,h,p);b.setModel(r),r.history=w,await b.onTrainBegin(),r.stopTraining_=!1;for(let C=m;C{let P=A[$][0],V=A[$][1],G=rl(_,P,V-P);F.batch=$,F.size=V-P;let W=Yy(e,G),q=t(W);for(let H=0;H0){if(g=!0,n.validationData.length===2)u=n.validationData[0],l=n.validationData[1];else throw n.validationData.length===3?new St(\"validationData including sample weights is not supported yet.\"):new M(`When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; ${n.validationData} is invalid.`);let F=!0,P=await r.standardizeUserData(u,l,null,null,F,f);c=P[0],p=P[1],x=c.concat(p)}else if(n.validationSplit!=null&&n.validationSplit>0&&n.validationSplit<1){g=!0;let F=Math.floor(o[0].shape[0]*(1-n.validationSplit)),P=o[0].shape[0];c=Hm(o,F,P),i=o,o=Hm(o,0,F),p=Hm(s,F,P),a=s,s=Hm(s,0,F),x=c.concat(p)}else n.validationSteps!=null&&(g=!0);let b=o.concat(s).concat(m);r.checkTrainableWeightsConsistency();let w=r.makeTrainFunction(),C=r.getDedupedMetricsNames(),N,_;g?(r.makeTestFunction(),N=r.testFunction,_=C.slice().concat(C.map(F=>\"val_\"+F))):(N=null,x=[],_=C.slice());let A=zy(n.callbacks,n.yieldEvery);return await L8(r,w,b,C,f,n.epochs,n.verbose,A,N,x,n.shuffle,_,n.initialEpoch,null,null)}finally{r.isTraining=!1,Eo(o,t),Eo(s,e),Eo(i,t),Eo(a,e),Eo(c,u),Eo(p,l),m!=null&&vt(m)}}function Fv(r){let t=[];r instanceof Ft&&(r=[r]);for(let e=0;ee.push(o.id));else if(t!=null)for(let o in t){let s=t[o];e.push(s.id)}let n=[];if(r instanceof Ft)e.indexOf(r.id)===-1&&n.push(r);else if(Array.isArray(r))r.forEach(o=>{e.indexOf(o.id)===-1&&n.push(o)});else if(r!=null)for(let o in r){let s=r[o];e.indexOf(s.id)===-1&&n.push(s)}n.forEach(o=>{o.isDisposed||o.dispose()})}function M8(r){return r instanceof Ft}function Ov(r){return Array.isArray(r)}function pD(r){return!M8(r)&&!Ov(r)}function mD(r,t,e,n=!0,o=\"\"){if(t==null||t.length===0){if(r!=null){let i=!1;if(Ov(r)&&r.length>0)i=!0;else if(pD(r)){for(let a in r)if(r.hasOwnProperty(a)){i=!0;break}}else i=!0;if(i)throw new M(`Error when checking model ${o} expected no data, but got ${r}`)}return[]}if(r==null)return t.map(i=>null);let s;if(pD(r)){r=r,s=[];for(let i of t){if(r[i]==null)throw new M(`No data provided for \"${i}\". Need data for each key in: ${t}`);s.push(r[i])}}else if(Ov(r)){if(r=r,r.length!==t.length)throw new M(`Error when checking model ${o}: the Array of Tensors that you are passing to your model is not the size the model expected. Expected to see ${t.length} Tensor(s), but instead got the following list of Tensor(s): ${r}`);s=r}else{if(r=r,t.length>1)throw new M(`The model ${o} expects ${t.length} Tensor(s), but only received one Tensor. Found: Tensor with shape ${r.shape}`);s=[r]}if(s=Fv(s),e!=null)for(let i=0;i=0&&l!==c)throw new M(`${o} expected a batch of elements where each example has shape [${e[i].slice(1,e[i].length)}] (i.e.,tensor shape [*,${e[i].slice(1,e[i].length)}]) but the ${o} received an input with ${a.shape[0]} examples, each with shape [${a.shape.slice(1,a.shape.length)}] (tensor shape [${a.shape}])`)}}return s}function z8(r,t,e){let n=vo(r.map(s=>s.shape[0]));n.sort();let o=vo(t.map(s=>s.shape[0]));if(o.sort(),n.length>1)throw new M(`All input Tensors (x) should have the same number of samples. Got array shapes: ${JSON.stringify(r.map(s=>s.shape))}`);if(o.length>1)throw new M(`All target Tensors (y) should have the same number of samples. Got array shapes: ${JSON.stringify(t.map(s=>s.shape))}`);if(n.length>0&&o.length>0&&!y.arraysEqual(n,o))throw new M(`Input Tensors should have the same number of samples as target Tensors. Found ${n[0]} input sample(s) and ${o[0]} target sample(s).`)}function B8(r,t,e){let n=[Hi,Wm,xc];for(let o=0;o1)throw new M(`The model expects ${t.length} ${o} Tensors, but only received one Tensor. Found: array with shape ${JSON.stringify(r.shape)}.`);s=[r]}if(e!=null)for(let i=0;i[]);let e;if(typeof r==\"string\"||typeof r==\"function\")e=[r];else if(Array.isArray(r)||typeof r==\"object\")e=r;else throw new TypeError(`Type of metrics argument not understood. Expected an string,function, Array, or Object, found: ${r}`);if(Array.isArray(e))return t.map(n=>e);{let n=[];for(let o of t){let s=e.hasOwnProperty(o)?e[o]:[];Array.isArray(s)||(s=[s]),n.push(s)}return n}}var G8=\"layers-model\",Bn=class extends zn{constructor(t){super(t),this.isTraining=!1}summary(t,e,n=console.log){if(!this.built)throw new M(\"This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).\");rD(this,t,e,n)}compile(t){if(t.loss==null&&(t.loss=[]),this.loss=t.loss,typeof t.optimizer==\"string\")this.optimizer_=eD(t.optimizer),this.isOptimizerOwned=!0;else{if(!(t.optimizer instanceof Wr))throw new M(\"User-defined optimizer must be an instance of tf.Optimizer.\");this.optimizer_=t.optimizer,this.isOptimizerOwned=!1}let e=[];if(!Array.isArray(t.loss)&&typeof t.loss!=\"string\"&&typeof t.loss!=\"function\"){t.loss=t.loss;for(let i in t.loss)if(this.outputNames.indexOf(i)===-1)throw new M(`Unknown entry in loss dictionary: \"${i}\". Only expected the following keys: ${this.outputNames}`);for(let i of this.outputNames)t.loss[i]==null&&console.warn(`Output \"${i}\" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data to be passed to ${i} during training`),e.push(Vy(t.loss[i]))}else if(Array.isArray(t.loss)){if(t.loss.length!==this.outputs.length)throw new M(`When passing an Array as loss, it should have one entry per model output. The model has ${this.outputs.length} output(s), but you passed loss=${t.loss}.`);e=t.loss.map(a=>Vy(a))}else{let i=Vy(t.loss);this.outputs.forEach(a=>{e.push(i)})}this.lossFunctions=e,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(let i=0;i{for(let i=0;i1&&(this.metricsTensors.push([a,i]),this.metricsNames.push(this.outputNames[i]+\"_loss\"))}});let o=V8(t.metrics,this.outputNames),s=(i,a,u)=>{this.outputNames.length>1&&(a=this.outputNames[i]+\"_\"+a),this.metricsNames.push(a),this.metricsTensors.push([u,i])};Hs(\"metric\",()=>{for(let i=0;i{let c=\"\",p,m,f;for(let d of l){if(typeof d==\"string\"&&[\"accuracy\",\"acc\",\"crossentropy\",\"ce\"].indexOf(d)!==-1){let g=this.internalOutputShapes[i];g[g.length-1]===1||this.lossFunctions[i]===Wm?[\"accuracy\",\"acc\"].indexOf(d)!==-1?m=Th:[\"crossentropy\",\"ce\"].indexOf(d)!==-1&&(m=Wy):this.lossFunctions[i]===Gm?[\"accuracy\",\"acc\"].indexOf(d)!==-1?m=Uy:[\"crossentropy\",\"ce\"].indexOf(d)!==-1&&(m=$v):[\"accuracy\",\"acc\"].indexOf(d)!==-1?m=kh:[\"crossentropy\",\"ce\"].indexOf(d)!==-1&&(m=Eh);let x;[\"accuracy\",\"acc\"].indexOf(d)!==-1?x=\"acc\":[\"crossentropy\",\"ce\"].indexOf(d)!==-1&&(x=\"ce\"),f=m,p=c+x}else f=Q$(d),p=c+_h(d);let h;Hs(p,()=>{h=f}),s(i,p,h)}})(a)}}),this.collectedTrainableWeights=this.trainableWeights}checkTrainableWeightsConsistency(){this.collectedTrainableWeights!=null&&this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn(\"Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?\")}evaluate(t,e,n={}){let o=n.batchSize==null?32:n.batchSize;Xy(o);let s=!0,i=this.standardizeUserDataXY(t,e,s,o);try{let a=i[0].concat(i[1]);this.makeTestFunction();let u=this.testFunction,l=this.testLoop(u,a,o,n.verbose,n.steps);return Nr(l)}finally{Eo(i[0],t),Eo(i[1],e)}}async evaluateDataset(t,e){return this.makeTestFunction(),uD(this,t,e)}checkNumSamples(t,e,n,o=\"steps\"){let s;if(n!=null){if(s=null,e!=null)throw new M(`If ${o} is set, batchSize must be null or undefined.Got batchSize = ${e}`)}else if(t!=null)Array.isArray(t)?s=t[0].shape[0]:s=t.shape[0];else throw new M(`Either the input data should have a defined shape, or ${o} shoud be specified.`);return s}execute(t,e){if(Array.isArray(e)&&e.length===0)throw new M(\"`outputs` is an empty Array, which is not allowed.\");let n=Array.isArray(e),o=n?e:[e],s=this.retrieveSymbolicTensors(o),i=new ko;if(t instanceof Ft&&(t=[t]),Array.isArray(t)){if(t.length!==this.inputs.length)throw new M(`The number of inputs provided (${t.length}) does not match the number of inputs of this model (${this.inputs.length}).`);for(let u=0;ua.name);for(let a=0;a0){let o=[];throw e.forEach((s,i)=>{s==null&&o.push(t[i])}),new M(`Cannot find SymbolicTensors for output name(s): ${JSON.stringify(o)}`)}return e}predictLoop(t,e=32,n=!1){return B(()=>{let o=this.checkNumSamples(t);if(n)throw new St(\"Verbose predictLoop() is not implemented yet.\");let s=Zy(o,e),i=this.outputs.map(a=>[]);for(let a=0;a{let l=s[a][0],c=s[a][1],p=Hm(t,l,c),m=[];if(Array.isArray(p))for(let d=0;di[c].push(l));return Nr(i.map(a=>ne(a,0)))})}predict(t,e={}){let n=Fv(t);fD(n,this.inputNames,this.feedInputShapes,!1);try{let o=e.batchSize==null?32:e.batchSize;return Xy(o),this.predictLoop(n,o)}finally{Eo(n,t)}}predictOnBatch(t){fD(t,this.inputNames,this.feedInputShapes,!0);let e=(Array.isArray(t)?t[0]:t).shape[0];return this.predictLoop(t,e)}standardizeUserDataXY(t,e,n=!0,o){if(this.optimizer_==null)throw new Hr(\"You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).\");let s=[];for(let i=0;i0&&t[0].shape[0]%o!==0)throw new M(`In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size ${o}. Found: ${t[0].shape[0]} sample(s).`);return[t,e]}async standardizeUserData(t,e,n,o,s=!0,i){let[a,u]=this.standardizeUserDataXY(t,e,s,i);if(n!=null)throw new Error(\"sample weight is not supported yet.\");let l=null;if(o!=null){let c=Ky(o,this.outputNames);l=[];for(let p=0;p{let i=this.checkNumSamples(e,n,s,\"steps\"),a=[];if(o>0)throw new St(\"Verbose mode is not implemented yet.\");if(s!=null)throw new St(\"steps mode in testLoop() is not implemented yet\");{let u=Zy(i,n),l=Me(Zr(0,i));for(let c=0;c1&&(s+=`_${Cv(t.slice(0,n),o)}`),e.push(s)}return e}makeTrainFunction(){return t=>{let e=[],n=t.slice(0,this.inputs.length),o=t.slice(this.inputs.length,this.inputs.length+this.outputs.length),s=t.slice(this.inputs.length+this.outputs.length,this.inputs.length+this.outputs.length*2),i=[],a=()=>{let p=[];for(let h=0;h1&&h{d=X(d,h)}),d},u=this.collectedTrainableWeights.map(p=>p.read()),l=!0;return[this.optimizer_.minimize(a,l,u)].concat(i)}}makeTestFunction(){this.testFunction=t=>B(()=>{let e=[],n,o=t.slice(0,this.inputs.length),s=t.slice(this.inputs.length,this.inputs.length+this.outputs.length),i=[];for(let l=0;lSo(e))}else{let e=Object.keys(this.loss);t={};let n=this.loss;for(let o of e)if(typeof n[o]==\"string\")t[o]=So(n[o]);else throw new Error(\"Serialization of non-string loss is not supported.\")}return t}getMetricIdentifiers(){if(typeof this.metrics==\"string\"||typeof this.metrics==\"function\")return[So(_h(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map(t=>So(_h(t)));{let t={};for(let e in this.metrics)t[e]=So(_h(this.metrics[e]));return t}}getTrainingConfig(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}}loadTrainingConfig(t){if(t.weighted_metrics!=null)throw new Error(\"Loading weight_metrics is not supported yet.\");if(t.loss_weights!=null)throw new Error(\"Loading loss_weights is not supported yet.\");if(t.sample_weight_mode!=null)throw new Error(\"Loading sample_weight_mode is not supported yet.\");let e=yc(t.optimizer_config),n=gn(e),o;if(typeof t.loss==\"string\")o=el(t.loss);else if(Array.isArray(t.loss))o=t.loss.map(i=>el(i));else if(t.loss!=null){o={};for(let i in t.loss)o[i]=el(t.loss[i])}let s;if(Array.isArray(t.metrics))s=t.metrics.map(i=>el(i));else if(t.metrics!=null){s={};for(let i in t.metrics)s[i]=el(t.metrics[i])}this.compile({loss:o,metrics:s,optimizer:n})}async save(t,e){if(typeof t==\"string\"){let l=_r.getSaveHandlers(t);if(l.length===0)throw new M(`Cannot find any save handlers for URL '${t}'`);if(l.length>1)throw new M(`Found more than one (${l.length}) save handlers for URL '${t}'`);t=l[0]}if(t.save==null)throw new M(\"LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.\");let n=await _r.encodeWeights(this.getNamedWeights(e)),o=!1,s=null,a={modelTopology:this.toJSON(s,o),format:G8,generatedBy:`TensorFlow.js tfjs-layers v${Um}`,convertedBy:null};if((e==null?!1:e.includeOptimizer)&&this.optimizer!=null){a.trainingConfig=this.getTrainingConfig();let l=\"optimizer\",{data:c,specs:p}=await _r.encodeWeights(await this.optimizer.getWeights(),l);n.specs.push(...p),n.data=_r.concatenateArrayBuffers([n.data,c])}return this.userDefinedMetadata!=null&&(Rv(this.userDefinedMetadata,this.name,!0),a.userDefinedMetadata=this.userDefinedMetadata),a.weightData=n.data,a.weightSpecs=n.specs,t.save(a)}setUserDefinedMetadata(t){Rv(t,this.name),this.userDefinedMetadata=t}getUserDefinedMetadata(){return this.userDefinedMetadata}};Bn.className=\"Model\";Q.registerClass(Bn);var Jy=class extends Bn{};Jy.className=\"Functional\";Q.registerClass(Jy);async function dD(r,t){\"modelTopology\"in r||(r={modelTopology:r}),r=r;let e=r.modelTopology;e.model_config!=null&&(e=e.model_config);let n=yc(e),o=gn(n,t);if(r.weightsManifest!=null){let s=await _r.loadWeights(r.weightsManifest,r.pathPrefix,o.weights.map(a=>a.originalName)),i={};for(let a of o.weights)i[a.originalName]=s[a.originalName];o.loadWeights(i),vt(s)}return o}async function hD(r,t){if(t==null&&(t={}),typeof r==\"string\"){let e=_r.getLoadHandlers(r,t);if(e.length===0)e.push(_r.browserHTTPRequest(r,t));else if(e.length>1)throw new M(`Found more than one (${e.length}) load handlers for URL '${r}'`);r=e[0]}return W8(r,void 0,t)}async function W8(r,t,e){if(e==null&&(e={}),r.load==null)throw new M(\"Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.\");let n=await r.load(),o=n.modelTopology;o.model_config!=null&&(o=o.model_config);let s=e.strict==null?!0:e.strict,i=n.weightData!=null&&n.weightSpecs!=null&&s,a=gn(yc(o),t,i),u=n.trainingConfig;if(u!=null&&a.loadTrainingConfig(u),n.userDefinedMetadata!=null&&a.setUserDefinedMetadata(n.userDefinedMetadata),n.weightData!=null){if(n.weightSpecs==null)throw new M(\"LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.\");let{modelWeights:l,optimizerWeights:c}=U8(n.weightData,n.weightSpecs);a.loadWeights(l,s),a.optimizer!=null&&c.length>0&&await a.optimizer.setWeights(c),vt(l),vt(c.map(p=>p.tensor))}return a}function U8(r,t){let e=_r.decodeWeights(r,t),n={},o=[];return t.forEach(s=>{s.group===\"optimizer\"?o.push({name:s.name,tensor:e[s.name]}):n[s.name]=e[s.name]}),{modelWeights:n,optimizerWeights:o}}var qi=class extends Bn{constructor(t){if(super({inputs:[],outputs:[]}),t=t||{},this.trainable=!0,this.built=!1,this.name=t.name!=null?t.name:gu(\"sequential_\"),t.layers!=null)for(let e of t.layers)this.add(e)}checkShape(t){if(t.inboundNodes[0].outputTensors[0].shape.some(n=>n<0))throw new M(`Negative dimension size caused by adding layer ${t.name} with input shape [${t.inboundNodes[0].inputTensors[0].shape}]`)}add(t){let e=t instanceof qi||t instanceof Bn,n;if(e){if(n=t,n.outputs.length!==1)throw new M(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");if(n.inputs.length!==1)throw new M(\"All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.\")}if(this.outputs.length===0){if(t.inboundNodes.length===0){if(t.batchInputShape==null)throw new M(\"The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.\");let o=Dy({batchShape:t.batchInputShape,dtype:t.dtype,name:t.name+\"_input\"});t.apply(o)}if(e)this.outputs=n.outputs,this.inputs=n.inputs;else{if(t.inboundNodes.length!==1)throw new M(`A layer added to a Sequential model must not already be connected somewhere else. LayersModel received layer ${t.name} which has ${t.inboundNodes.length} pre-existing inbound connections.`);if(t.inboundNodes[0].outputTensors.length!==1)throw new M(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");this.checkShape(t),this.outputs=[t.inboundNodes[0].outputTensors[0]],this.inputs=kv(this.outputs[0])}this.inboundNodes=[],new ol({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:Io(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(o=>o.shape),outputShapes:this.outputs[0].shape})}else{let o=t.apply(this.outputs[0]);if(Array.isArray(o))throw new TypeError(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");this.checkShape(t),this.outputs=[o],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(t),this.built=!1}pop(){if(this.layers.length===0)throw new TypeError(\"There are no layers in the model.\");if(this.layers.pop(),this.layers.length===0)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{let t=this.layers.length-1;this.layers[t].outboundNodes=[],this.outputs=[this.layers[t].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}}call(t,e){return this.model==null&&this.build(),this.model.call(t,e)}build(t){if(Bt(t),this.inputs.length===0||this.outputs.length===0)throw new TypeError(\"Sequential model cannot be built: model is empty. Add some layers first.\");this.model=new Bn({inputs:this.inputs,outputs:this.outputs[0],name:this.name+\"_model\"}),this.model.trainable=this.trainable,this.supportsMasking=this.model.supportsMasking,this.inputLayers=this.model.inputLayers,this.inputLayersNodeIndices=this.model.inputLayersNodeIndices,this.inputLayersTensorIndices=this.model.inputLayersTensorIndices,this.outputLayers=this.model.outputLayers,this.outputLayersNodeIndices=this.model.outputLayersNodeIndices,this.outputLayersTensorIndices=this.model.outputLayersTensorIndices,this.nodesByDepth=this.model.nodesByDepth,this.containerNodes=this.model.containerNodes,this.outputNames=this.model.outputNames,this.inputNames=this.model.inputNames,this.built=!0}countParams(){return this.built||this.build(),super.countParams()}summary(t,e,n=console.log){this.built||this.build(),super.summary(t,e,n)}setWeights(t){this.model==null&&this.build(),this.model.setWeights(t)}evaluate(t,e,n={}){if(!this.built)throw new Hr(\"The model needs to be compiled before being used.\");return this.model.evaluate(t,e,n)}async evaluateDataset(t,e){if(!this.built)throw new Hr(\"The model needs to be compiled before being used.\");return this.model.evaluateDataset(t,e)}predict(t,e={}){return this.model==null&&this.build(),this.model.predict(t,e)}predictOnBatch(t){return this.model==null&&this.build(),this.model.predictOnBatch(t)}compile(t){this.build(),this.model.compile(t),this.optimizer_=this.model.optimizer,this.isOptimizerOwned=this.model.isOptimizerOwned,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames}get optimizer(){return this.model==null?void 0:this.model.optimizer}set optimizer(t){this.model.optimizer=t}async fit(t,e,n={}){if(!this.built)throw new Hr(\"The model needs to be compiled before being used.\");return this.model.fit(t,e,n)}async fitDataset(t,e){if(!this.built)throw new Hr(\"The model needs to be compiled before being used.\");return this.model.fitDataset(t,e)}async trainOnBatch(t,e){return this.model.trainOnBatch(t,e)}static fromConfig(t,e,n={},o=!1){let s,i={};if(e instanceof Array){if(e[0].className==null||e[0].className===\"Merge\")throw new M(\"Legacy serialization format not supported yet.\");s=e}else y.assert(e.layers!=null,()=>\"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field.\"),s=e.layers,delete e.layers,i=e;let a=new t(i);if(!(a instanceof qi))throw new St(`Sequential.fromConfig called on non-Sequential input: ${a}`);for(let u of s){let c=gn(u,void 0,o);o&&c.setFastWeightInitDuringBuild(!0),a.add(c)}return a}set stopTraining(t){if(this.model==null)throw new M(\"Cannot set the stopTraining property of a sequential model before it is compiled.\");this.model.stopTraining=t}get stopTraining(){if(this.model==null)throw new M(\"Cannot get the stopTraining property of a sequential model before it is compiled.\");return this.model.stopTraining}getConfig(){let t=[];for(let e of this.layers){let n={};n.className=e.getClassName(),n.config=e.getConfig(),t.push(n)}return{name:this.name,layers:t}}};qi.className=\"Sequential\";Q.registerClass(qi);function H8(r){return new Bn(r)}function q8(r){return new qi(r)}function Pv(r){return Dy(r)}function K8(r,t){hn.registerCallbackConstructor(r,t)}var Qr=class extends Q.Serializable{getConfig(){return{}}},Qy=class extends Qr{apply(t,e=1){return F$(t,e)}};Qy.className=\"elu\";Q.registerClass(Qy);var tb=class extends Qr{apply(t){return pm(t)}};tb.className=\"selu\";Q.registerClass(tb);var eb=class extends Qr{apply(t){return Fr(t)}};eb.className=\"relu\";Q.registerClass(eb);var rb=class extends Qr{apply(t){return B(()=>Mi(6,Fr(t)))}};rb.className=\"relu6\";Q.registerClass(rb);var nb=class extends Qr{apply(t){return t}};nb.className=\"linear\";Q.registerClass(nb);var ob=class extends Qr{apply(t){return Yr(t)}};ob.className=\"sigmoid\";Q.registerClass(ob);var sb=class extends Qr{apply(t){return P$(t)}};sb.className=\"hardSigmoid\";Q.registerClass(sb);var ib=class extends Qr{apply(t){return zs(t)}};ib.className=\"softplus\";Q.registerClass(ib);var ab=class extends Qr{apply(t){return O$(t)}};ab.className=\"softsign\";Q.registerClass(ab);var lb=class extends Qr{apply(t){return $i(t)}};lb.className=\"tanh\";Q.registerClass(lb);var qm=class extends Qr{apply(t,e=-1){return iu(t,e)}};qm.className=\"softmax\";Q.registerClass(qm);var ub=class extends Qr{apply(t,e=-1){return sm(t,e)}};ub.className=\"logSoftmax\";Q.registerClass(ub);var cb=class extends Qr{apply(t,e=1){return B(()=>D(Yr(D(t,e)),t))}};cb.className=\"swish\";Q.registerClass(cb);var pb=class extends Qr{apply(t){return B(()=>D(t,$i(zs(t))))}};pb.className=\"mish\";Q.registerClass(pb);function js(r){return r.getClassName()}function Lv(r,t={}){return Gi(r,Q.SerializationMap.getMap().classNameMap,t,\"activation\")}function Xs(r){if(r==null){let t={};return t.className=\"linear\",t.config={},Lv(t)}if(typeof r==\"string\"){let t={};return t.className=r,t.config={},Lv(t)}else return r instanceof Qr?r:Lv(r)}function Mv(r){if(r!=null&&typeof r!=\"object\")throw new Error(`Argument to L1L2 regularizer's constructor is expected to be an object, but received: ${r}`)}var mb=class extends Q.Serializable{},wu=class extends mb{constructor(t){super(),Mv(t),this.l1=t==null||t.l1==null?.01:t.l1,this.l2=t==null||t.l2==null?.01:t.l2,this.hasL1=this.l1!==0,this.hasL2=this.l2!==0}apply(t){return B(()=>{let e=Ne([1]);return this.hasL1&&(e=X(e,ft(D(this.l1,Ee(t))))),this.hasL2&&(e=X(e,ft(D(this.l2,lc(t))))),R(e,[])})}getConfig(){return{l1:this.l1,l2:this.l2}}static fromConfig(t,e){return new t({l1:e.l1,l2:e.l2})}};wu.className=\"L1L2\";Q.registerClass(wu);function yD(r){return Mv(r),new wu({l1:r!=null?r.l1:null,l2:0})}function bD(r){return Mv(r),new wu({l2:r!=null?r.l2:null,l1:0})}var gD={l1l2:\"L1L2\"};function me(r){return Sm(r)}function xD(r,t={}){return Gi(r,Q.SerializationMap.getMap().classNameMap,t,\"regularizer\")}function be(r){if(r==null)return null;if(typeof r==\"string\"){let e={className:r in gD?gD[r]:r,config:{}};return xD(e)}else return r instanceof mb?r:xD(r)}var Km=class extends $t{constructor(t){super(t==null?{}:t),this.supportsMasking=!0,t!=null&&(this.maxValue=t.maxValue)}call(t,e){t=Nt(t);let n=Fr(t);return this.maxValue!=null&&(n=Cr(n,0,this.maxValue)),n}computeOutputShape(t){return t}getConfig(){let t={maxValue:this.maxValue},e=super.getConfig();return Object.assign(t,e),t}};Km.className=\"ReLU\";Q.registerClass(Km);var jm=class extends $t{constructor(t){super(t==null?{}:t),this.DEFAULT_ALPHA=.3,t==null&&(t={}),this.alpha=t.alpha==null?this.DEFAULT_ALPHA:t.alpha}call(t,e){let n=Nt(t);return Ql(n,this.alpha)}computeOutputShape(t){return t}getConfig(){let t={alpha:this.alpha},e=super.getConfig();return Object.assign(t,e),t}};jm.className=\"LeakyReLU\";Q.registerClass(jm);var Xm=class extends $t{constructor(t){if(super(t==null?{}:t),this.DEFAULT_ALPHA_INITIALIZER=\"zeros\",t==null&&(t={}),this.supportsMasking=!0,this.alphaInitializer=de(t.alphaInitializer||this.DEFAULT_ALPHA_INITIALIZER),this.alphaRegularizer=be(t.alphaRegularizer),this.alphaConstraint=Be(t.alphaConstraint),t.sharedAxes==null)this.sharedAxes=null;else if(Array.isArray(t.sharedAxes))this.sharedAxes=t.sharedAxes;else if(typeof t.sharedAxes==\"number\")this.sharedAxes=[t.sharedAxes];else throw new M(`Expected sharedAxes to be a number or an array of numbers, but got ${t.sharedAxes}`)}build(t){t=Bt(t);let e=t.slice(1);if(this.sharedAxes!=null)for(let o of this.sharedAxes)e[o-1]=1;this.alpha=this.addWeight(\"alpha\",e,\"float32\",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);let n={};if(this.sharedAxes!=null)for(let o=1;o(Fe(t),t===\"channelsFirst\"?Ot(r,[0,2,3,1]):r))}function zv(r,t){return B(()=>(Fe(t),t===\"channelsFirst\"?Ot(r,[0,2,3,4,1]):r))}function X8(r,t,e,n=1,o=\"valid\",s,i=1){return B(()=>{if(s==null&&(s=mn()),Fe(s),r.shape.length!==3)throw new M(`The input of a conv1dWithBias operation should be 3, but is ${r.shape.length} instead.`);if(t.shape.length!==3)throw new M(`The kernel for a conv1dWithBias operation should be 3, but is ${t.shape.length} instead`);if(e!=null&&e.shape.length!==1)throw new M(`The bias for a conv1dWithBias operation should be 1, but is ${t.shape.length} instead`);if(s===\"channelsFirst\"&&(r=Ot(r,[0,2,1])),o===\"causal\")throw new St(\"The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.\");let a=Qp(r,t,n,o===\"same\"?\"same\":\"valid\",\"NWC\",i);return e!=null&&(a=fn(a,e)),a})}function wD(r,t,e,n=[1,1],o=\"valid\",s,i,a=null){return B(()=>{if(s==null&&(s=mn()),Fe(s),r.rank!==3&&r.rank!==4)throw new M(`conv2dWithBiasActivation expects input to be of rank 3 or 4, but received ${r.rank}.`);if(t.rank!==3&&t.rank!==4)throw new M(`conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received ${r.rank}.`);let u=Ah(r,s);if(o===\"causal\")throw new St(\"The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.\");return u=uu.conv2d({x:u,filter:t,strides:n,pad:o===\"same\"?\"same\":\"valid\",dilations:i,dataFormat:\"NHWC\",bias:e,activation:a}),s===\"channelsFirst\"&&(u=Ot(u,[0,3,1,2])),u})}function Y8(r,t,e,n=[1,1,1],o=\"valid\",s,i){return B(()=>{if(s==null&&(s=mn()),Fe(s),r.rank!==4&&r.rank!==5)throw new M(`conv3dWithBias expects input to be of rank 4 or 5, but received ${r.rank}.`);if(t.rank!==4&&t.rank!==5)throw new M(`conv3dWithBias expects kernel to be of rank 4 or 5, but received ${r.rank}.`);let a=zv(r,s);if(o===\"causal\")throw new St(\"The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.\");return a=Tx(a,t,n,o===\"same\"?\"same\":\"valid\",\"NDHWC\",i),e!=null&&(a=fn(a,e)),s===\"channelsFirst\"&&(a=Ot(a,[0,4,1,2,3])),a})}var bc=class extends $t{constructor(t,e){if(super(e),this.bias=null,this.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",this.DEFAULT_BIAS_INITIALIZER=\"zeros\",bc.verifyArgs(e),this.rank=t,Ze(this.rank,\"rank\"),this.rank!==1&&this.rank!==2&&this.rank!==3)throw new St(`Convolution layer for rank other than 1, 2, or 3 (${this.rank}) is not implemented yet.`);if(this.kernelSize=Cu(e.kernelSize,t,\"kernelSize\"),this.strides=Cu(e.strides==null?1:e.strides,t,\"strides\"),this.padding=e.padding==null?\"valid\":e.padding,pn(this.padding),this.dataFormat=e.dataFormat==null?\"channelsLast\":e.dataFormat,Fe(this.dataFormat),this.activation=Xs(e.activation),this.useBias=e.useBias==null?!0:e.useBias,this.biasInitializer=de(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.biasConstraint=Be(e.biasConstraint),this.biasRegularizer=be(e.biasRegularizer),this.activityRegularizer=be(e.activityRegularizer),this.dilationRate=Cu(e.dilationRate==null?1:e.dilationRate,t,\"dilationRate\"),this.rank===1&&Array.isArray(this.dilationRate)&&this.dilationRate.length!==1)throw new M(`dilationRate must be a number or an array of a single number for 1D convolution, but received ${JSON.stringify(this.dilationRate)}`);if(this.rank===2){if(typeof this.dilationRate==\"number\")this.dilationRate=[this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==2)throw new M(`dilationRate must be a number or array of two numbers for 2D convolution, but received ${JSON.stringify(this.dilationRate)}`)}else if(this.rank===3){if(typeof this.dilationRate==\"number\")this.dilationRate=[this.dilationRate,this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==3)throw new M(`dilationRate must be a number or array of three numbers for 3D convolution, but received ${JSON.stringify(this.dilationRate)}`)}}static verifyArgs(t){if(ro(\"kernelSize\"in t,\"required key 'kernelSize' not in config\"),typeof t.kernelSize!=\"number\"&&!Cy(t.kernelSize,\"number\",1,3))throw new M(`BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received ${JSON.stringify(t.kernelSize)}.`)}getConfig(){let t={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:js(this.activation),useBias:this.useBias,biasInitializer:Te(this.biasInitializer),biasRegularizer:me(this.biasRegularizer),activityRegularizer:me(this.activityRegularizer),biasConstraint:ze(this.biasConstraint)},e=super.getConfig();return Object.assign(t,e),t}},Iu=class extends bc{constructor(t,e){super(t,e),this.kernel=null,Iu.verifyArgs(e),this.filters=e.filters,Ze(this.filters,\"filters\"),this.kernelInitializer=de(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.kernelConstraint=Be(e.kernelConstraint),this.kernelRegularizer=be(e.kernelRegularizer)}build(t){t=Bt(t);let e=this.dataFormat===\"channelsFirst\"?1:t.length-1;if(t[e]==null)throw new M(`The channel dimension of the input should be defined. Found ${t[e]}`);let n=t[e],o=this.kernelSize.concat([n,this.filters]);this.kernel=this.addWeight(\"kernel\",o,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:{[e]:n}}],this.built=!0}call(t,e){return B(()=>{t=Nt(t);let n,o=this.bias==null?null:this.bias.read(),s=Iy(this.activation.getClassName());if(s!=null&&this.rank===2)n=wD(t,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate,s);else{if(this.rank===1)n=X8(t,this.kernel.read(),o,this.strides[0],this.padding,this.dataFormat,this.dilationRate[0]);else if(this.rank===2)n=wD(t,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate);else if(this.rank===3)n=Y8(t,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate);else throw new St(\"convolutions greater than 3D are not implemented yet.\");this.activation!=null&&(n=this.activation.apply(n))}return n})}computeOutputShape(t){t=Bt(t);let e=[],n=this.dataFormat===\"channelsLast\"?t.slice(1,t.length-1):t.slice(2);for(let s=0;s 0 but got ${JSON.stringify(t.filters)}`)}},il=class extends Iu{constructor(t){super(2,t),il.verifyArgs(t)}getConfig(){let t=super.getConfig();return delete t.rank,t}static verifyArgs(t){if(typeof t.kernelSize!=\"number\"&&!Cy(t.kernelSize,\"number\",1,2))throw new M(`Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received ${JSON.stringify(t.kernelSize)}.`)}};il.className=\"Conv2D\";Q.registerClass(il);var al=class extends Iu{constructor(t){super(3,t),al.verifyArgs(t)}getConfig(){let t=super.getConfig();return delete t.rank,t}static verifyArgs(t){if(typeof t.kernelSize!=\"number\"&&!(Array.isArray(t.kernelSize)&&(t.kernelSize.length===1||t.kernelSize.length===3)))throw new M(`Conv3D expects config.kernelSize to be number or [number, number, number], but received ${JSON.stringify(t.kernelSize)}.`)}};al.className=\"Conv3D\";Q.registerClass(al);var Qm=class extends il{constructor(t){if(super(t),this.inputSpec=[new ye({ndim:4})],this.padding!==\"same\"&&this.padding!==\"valid\")throw new M(`Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(t){if(t=Bt(t),t.length!==4)throw new M(\"Input should have rank 4; Received input shape: \"+JSON.stringify(t));let e=this.dataFormat===\"channelsFirst\"?1:t.length-1;if(t[e]==null)throw new M(\"The channel dimension of the inputs should be defined. Found `None`.\");let n=t[e],o=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight(\"kernel\",o,\"float32\",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.filters],\"float32\",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new ye({ndim:4,axes:{[e]:n}})],this.built=!0}call(t,e){return B(()=>{let n=Nt(t);if(n.shape.length!==4)throw new M(`Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let o=n.shape,s=o[0],i,a;this.dataFormat===\"channelsFirst\"?(i=2,a=3):(i=1,a=2);let u=o[i],l=o[a],c=this.kernelSize[0],p=this.kernelSize[1],m=this.strides[0],f=this.strides[1],d=Ys(u,m,c,this.padding),h=Ys(l,f,p,this.padding),g=[s,d,h,this.filters];this.dataFormat!==\"channelsLast\"&&(n=Ot(n,[0,2,3,1]));let x=em(n,this.kernel.read(),g,this.strides,this.padding);return this.dataFormat!==\"channelsLast\"&&(x=Ot(x,[0,3,1,2])),this.bias!=null&&(x=fn(x,this.bias.read(),this.dataFormat)),this.activation!=null&&(x=this.activation.apply(x)),x})}computeOutputShape(t){t=Bt(t);let e=t.slice(),n,o,s;this.dataFormat===\"channelsFirst\"?(n=1,o=2,s=3):(n=3,o=1,s=2);let i=this.kernelSize[0],a=this.kernelSize[1],u=this.strides[0],l=this.strides[1];return e[n]=this.filters,e[o]=Ys(e[o],u,i,this.padding),e[s]=Ys(e[s],l,a,this.padding),e}getConfig(){let t=super.getConfig();return delete t.dilationRate,t}};Qm.className=\"Conv2DTranspose\";Q.registerClass(Qm);var tf=class extends al{constructor(t){if(super(t),this.inputSpec=[new ye({ndim:5})],this.padding!==\"same\"&&this.padding!==\"valid\")throw new M(`Conv3DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(t){if(t=Bt(t),t.length!==5)throw new M(\"Input should have rank 5; Received input shape: \"+JSON.stringify(t));let e=this.dataFormat===\"channelsFirst\"?1:t.length-1;if(t[e]==null)throw new M(\"The channel dimension of the inputs should be defined. Found `None`.\");let n=t[e],o=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight(\"kernel\",o,\"float32\",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.filters],\"float32\",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new ye({ndim:5,axes:{[e]:n}})],this.built=!0}call(t,e){return B(()=>{let n=Nt(t);if(n.shape.length!==5)throw new M(`Conv3DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let o=n.shape,s=o[0],i,a,u;this.dataFormat===\"channelsFirst\"?(u=2,i=3,a=4):(u=1,i=2,a=3);let l=o[u],c=o[i],p=o[a],m=this.kernelSize[0],f=this.kernelSize[1],d=this.kernelSize[2],h=this.strides[0],g=this.strides[1],x=this.strides[2],b=Ys(l,h,m,this.padding),w=Ys(c,g,f,this.padding),C=Ys(p,x,d,this.padding),N=[s,b,w,C,this.filters];this.dataFormat!==\"channelsLast\"&&(n=Ot(n,[0,2,3,4,1]));let _=Ex(n,this.kernel.read(),N,this.strides,this.padding);return this.dataFormat!==\"channelsLast\"&&(_=Ot(_,[0,4,1,2,3])),this.bias!==null&&(_=fn(_,this.bias.read(),this.dataFormat)),this.activation!==null&&(_=this.activation.apply(_)),_})}computeOutputShape(t){t=Bt(t);let e=t.slice(),n,o,s,i;this.dataFormat===\"channelsFirst\"?(n=1,o=2,s=3,i=4):(n=4,o=1,s=2,i=3);let a=this.kernelSize[0],u=this.kernelSize[1],l=this.kernelSize[2],c=this.strides[0],p=this.strides[1],m=this.strides[2];return e[n]=this.filters,e[o]=Ys(e[o],c,a,this.padding),e[s]=Ys(e[s],p,u,this.padding),e[i]=Ys(e[i],m,l,this.padding),e}getConfig(){let t=super.getConfig();return delete t.dilationRate,t}};tf.className=\"Conv3DTranspose\";Q.registerClass(tf);var fb=class extends Iu{constructor(t,e){if(super(t,e),this.DEFAULT_DEPTHWISE_INITIALIZER=\"glorotUniform\",this.DEFAULT_POINTWISE_INITIALIZER=\"glorotUniform\",this.depthwiseKernel=null,this.pointwiseKernel=null,e.filters==null)throw new M(\"The `filters` configuration field is required by SeparableConv, but is unspecified.\");if(e.kernelInitializer!=null||e.kernelRegularizer!=null||e.kernelConstraint!=null)throw new M(\"Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.\");if(e.padding!=null&&e.padding!==\"same\"&&e.padding!==\"valid\")throw new M(`SeparableConv${this.rank}D supports only padding modes: 'same' and 'valid', but received ${JSON.stringify(e.padding)}`);this.depthMultiplier=e.depthMultiplier==null?1:e.depthMultiplier,this.depthwiseInitializer=de(e.depthwiseInitializer||this.DEFAULT_DEPTHWISE_INITIALIZER),this.depthwiseRegularizer=be(e.depthwiseRegularizer),this.depthwiseConstraint=Be(e.depthwiseConstraint),this.pointwiseInitializer=de(e.depthwiseInitializer||this.DEFAULT_POINTWISE_INITIALIZER),this.pointwiseRegularizer=be(e.pointwiseRegularizer),this.pointwiseConstraint=Be(e.pointwiseConstraint)}build(t){if(t=Bt(t),t.length{t=Nt(t);let n;if(this.rank===1)throw new St(\"1D separable convolution is not implemented yet.\");return this.rank===2&&(this.dataFormat===\"channelsFirst\"&&(t=Ot(t,[0,2,3,1])),n=mm(t,this.depthwiseKernel.read(),this.pointwiseKernel.read(),this.strides,this.padding,this.dilationRate,\"NHWC\")),this.useBias&&(n=fn(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),this.dataFormat===\"channelsFirst\"&&(n=Ot(n,[0,3,1,2])),n})}getConfig(){let t=super.getConfig();return delete t.rank,delete t.kernelInitializer,delete t.kernelRegularizer,delete t.kernelConstraint,t.depthwiseInitializer=Te(this.depthwiseInitializer),t.pointwiseInitializer=Te(this.pointwiseInitializer),t.depthwiseRegularizer=me(this.depthwiseRegularizer),t.pointwiseRegularizer=me(this.pointwiseRegularizer),t.depthwiseConstraint=ze(this.depthwiseConstraint),t.pointwiseConstraint=ze(this.pointwiseConstraint),t}};fb.className=\"SeparableConv\";var ef=class extends fb{constructor(t){super(2,t)}};ef.className=\"SeparableConv2D\";Q.registerClass(ef);var Su=class extends Iu{constructor(t){super(1,t),Su.verifyArgs(t),this.inputSpec=[{ndim:3}]}getConfig(){let t=super.getConfig();return delete t.rank,delete t.dataFormat,t}static verifyArgs(t){if(typeof t.kernelSize!=\"number\"&&!Cy(t.kernelSize,\"number\",1,1))throw new M(`Conv1D expects config.kernelSize to be number or number[] with length 1, but received ${JSON.stringify(t.kernelSize)}.`)}};Su.className=\"Conv1D\";Q.registerClass(Su);var rf=class extends $t{constructor(t){super(t),typeof t.cropping==\"number\"?this.cropping=[[t.cropping,t.cropping],[t.cropping,t.cropping]]:typeof t.cropping[0]==\"number\"?this.cropping=[[t.cropping[0],t.cropping[0]],[t.cropping[1],t.cropping[1]]]:this.cropping=t.cropping,this.dataFormat=t.dataFormat===void 0?\"channelsLast\":t.dataFormat,this.inputSpec=[{ndim:4}]}computeOutputShape(t){return this.dataFormat===\"channelsFirst\"?[t[0],t[1],t[2]-this.cropping[0][0]-this.cropping[0][1],t[3]-this.cropping[1][0]-this.cropping[1][1]]:[t[0],t[1]-this.cropping[0][0]-this.cropping[0][1],t[2]-this.cropping[1][0]-this.cropping[1][1],t[3]]}call(t,e){return B(()=>{if(t=Nt(t),this.dataFormat===\"channelsLast\"){let n=wh(t,this.cropping[0][0],t.shape[1]-this.cropping[0][0]-this.cropping[0][1],2);return wh(n,this.cropping[1][0],t.shape[2]-this.cropping[1][1]-this.cropping[1][0],3)}else{let n=wh(t,this.cropping[0][0],t.shape[2]-this.cropping[0][0]-this.cropping[0][1],3);return wh(n,this.cropping[1][0],t.shape[3]-this.cropping[1][1]-this.cropping[1][0],4)}})}getConfig(){let t={cropping:this.cropping,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}};rf.className=\"Cropping2D\";Q.registerClass(rf);var nf=class extends $t{constructor(t){super(t),this.DEFAULT_SIZE=[2,2],this.inputSpec=[{ndim:4}],this.size=t.size==null?this.DEFAULT_SIZE:t.size,this.dataFormat=t.dataFormat==null?\"channelsLast\":t.dataFormat,Fe(this.dataFormat),this.interpolation=t.interpolation==null?\"nearest\":t.interpolation,E$(this.interpolation)}computeOutputShape(t){if(this.dataFormat===\"channelsFirst\"){let e=t[2]==null?null:this.size[0]*t[2],n=t[3]==null?null:this.size[1]*t[3];return[t[0],t[1],e,n]}else{let e=t[1]==null?null:this.size[0]*t[1],n=t[2]==null?null:this.size[1]*t[2];return[t[0],e,n,t[3]]}}call(t,e){return B(()=>{let n=Nt(t),o=n.shape;if(this.dataFormat===\"channelsFirst\"){n=Ot(n,[0,2,3,1]);let s=this.size[0]*o[2],i=this.size[1]*o[3],a=this.interpolation===\"nearest\"?Gs.resizeNearestNeighbor(n,[s,i]):Gs.resizeBilinear(n,[s,i]);return Ot(a,[0,3,1,2])}else{let s=this.size[0]*o[1],i=this.size[1]*o[2];return this.interpolation===\"nearest\"?Gs.resizeNearestNeighbor(n,[s,i]):Gs.resizeBilinear(n,[s,i])}})}getConfig(){let t={size:this.size,dataFormat:this.dataFormat,interpolation:this.interpolation},e=super.getConfig();return Object.assign(t,e),t}};nf.className=\"UpSampling2D\";Q.registerClass(nf);function Z8(r,t,e=[1,1],n=\"valid\",o,s){return B(()=>{o==null&&(o=mn()),Fe(o);let i=Ah(r,o);if(r.rank!==4)throw new M(`Input for depthwiseConv2d is required to be 4-D, but is instead ${r.rank}-D`);if(t.rank!==4)throw new M(`depthwiseKernel is required to be 4-D, but is instead ${t.rank}-D`);return i=Fi(i,t,e,n===\"same\"?\"same\":\"valid\",\"NHWC\",s),o===\"channelsFirst\"&&(i=Ot(i,[0,3,1,2])),i})}var of=class extends bc{constructor(t){super(2,t),this.depthwiseKernel=null,this.depthMultiplier=t.depthMultiplier==null?1:t.depthMultiplier,this.depthwiseInitializer=de(t.depthwiseInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.depthwiseConstraint=Be(t.depthwiseConstraint),this.depthwiseRegularizer=be(t.depthwiseRegularizer)}build(t){if(t=Bt(t),t.length<4)throw new M(`Inputs to DepthwiseConv2D should have rank 4. Received input shape: ${JSON.stringify(t)}.`);let e=this.dataFormat===\"channelsFirst\"?1:3;if(t[e]==null||t[e]<0)throw new M(`The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not (${t[e]}).`);let n=t[e],o=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight(\"depthwise_kernel\",o,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(t,e){return B(()=>{t=Nt(t);let n=Z8(t,this.depthwiseKernel.read(),this.strides,this.padding,this.dataFormat,null);return this.useBias&&(n=fn(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),n})}computeOutputShape(t){t=Bt(t);let e=this.dataFormat===\"channelsFirst\"?t[2]:t[1],n=this.dataFormat===\"channelsFirst\"?t[3]:t[2],o=this.dataFormat===\"channelsFirst\"?t[1]*this.depthMultiplier:t[3]*this.depthMultiplier,s=Nn(e,this.kernelSize[0],this.padding,this.strides[0]),i=Nn(n,this.kernelSize[1],this.padding,this.strides[1]);return this.dataFormat===\"channelsFirst\"?[t[0],o,s,i]:[t[0],s,i,o]}getConfig(){let t=super.getConfig();return t.depthMultiplier=this.depthMultiplier,t.depthwiseInitializer=Te(this.depthwiseInitializer),t.depthwiseRegularizer=me(this.depthwiseRegularizer),t.depthwiseConstraint=ze(this.depthwiseRegularizer),t}};of.className=\"DepthwiseConv2D\";Q.registerClass(of);function Bv(r,t,e,n){if(Array.isArray(r)){if(t!=null||e!=null)throw new M(\"When inputs is an array, neither initialState or constants should be provided\");n!=null&&(e=r.slice(r.length-n,r.length),r=r.slice(0,r.length-n)),r.length>1&&(t=r.slice(1,r.length)),r=r[0]}function o(s){return s==null||Array.isArray(s)?s:[s]}return t=o(t),e=o(e),{inputs:r,initialState:t,constants:e}}function Vv(r,t,e,n=!1,o,s,i=!1,a=!1){return B(()=>{let u=t.shape.length;if(u<3)throw new M(`Input should be at least 3D, but is ${u}D.`);let l=[1,0].concat(Zr(2,u));if(t=Ot(t,l),s!=null)throw new St(\"The rnn() functoin of the deeplearn.js backend does not support constants yet.\");i&&console.warn(\"Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend.\"),o!=null&&(o=J(J(o,\"bool\"),\"float32\"),o.rank===u-1&&(o=rr(o,-1)),o=Ot(o,l)),n&&(t=pr(t,0),o!=null&&(o=pr(o,0)));let c=[],p,m=e,f=t.shape[0],d=vr(t),h;o!=null&&(h=vr(o));for(let x=0;xr(b,m));if(o==null)p=w[0],m=w[1];else{let C=B(()=>{let N=h[x],_=ct(yr(N),N),A=X(D(w[0],N),D(m[0],_)),$=m.map((F,P)=>X(D(w[1][P],N),D(F,_)));return{output:A,newStates:$}});p=C.output,m=C.newStates}a&&c.push(p)}let g;return a&&(g=nr(c,1)),[p,g,m]})}var Tn=class extends $t{constructor(t){super(t);let e;if(t.cell==null)throw new M(\"cell property is missing for the constructor of RNN.\");if(Array.isArray(t.cell)?e=new Ic({cells:t.cell}):e=t.cell,e.stateSize==null)throw new M(\"The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).\");this.cell=e,this.returnSequences=t.returnSequences==null?!1:t.returnSequences,this.returnState=t.returnState==null?!1:t.returnState,this.goBackwards=t.goBackwards==null?!1:t.goBackwards,this._stateful=t.stateful==null?!1:t.stateful,this.unroll=t.unroll==null?!1:t.unroll,this.supportsMasking=!0,this.inputSpec=[new ye({ndim:3})],this.stateSpec=null,this.states_=null,this.numConstants=null,this.keptStates=[]}getStates(){if(this.states_==null){let t=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;return Zr(0,t).map(e=>null)}else return this.states_}setStates(t){this.states_=t}computeOutputShape(t){$y(t)&&(t=t[0]),t=t;let e=this.cell.stateSize;Array.isArray(e)||(e=[e]);let n=e[0],o;if(this.returnSequences?o=[t[0],t[1],n]:o=[t[0],n],this.returnState){let s=[];for(let i of e)s.push([t[0],i]);return[o].concat(s)}else return o}computeMask(t,e){return B(()=>{Array.isArray(e)&&(e=e[0]);let n=this.returnSequences?e:null;if(this.returnState){let o=this.states.map(s=>null);return[n].concat(o)}else return n})}get states(){if(this.states_==null){let t=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,e=[];for(let n=0;na.shape[a.shape.length-1]),i))throw new M(`An initialState was passed that is not compatible with cell.stateSize. Received stateSpec=${this.stateSpec}; However cell.stateSize is ${this.cell.stateSize}`)}else this.stateSpec=i.map(a=>new ye({shape:[null,a]}));this.stateful&&this.resetStates()}resetStates(t,e=!1){B(()=>{if(!this.stateful)throw new vn(\"Cannot call resetStates() on an RNN Layer that is not stateful.\");let n=this.inputSpec[0].shape[0];if(n==null)throw new M(\"If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \\n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.\");if(this.states_==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(o=>Ne([n,o])):this.states_=[Ne([n,this.cell.stateSize])];else if(t==null)vt(this.states_),this.keptStates!=null&&(vt(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(o=>Ne([n,o])):this.states_[0]=Ne([n,this.cell.stateSize]);else{if(Array.isArray(t)||(t=[t]),t.length!==this.states_.length)throw new M(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${t.length} state value(s). Input received: ${t}`);e===!0?this.keptStates.push(this.states_.slice()):vt(this.states_);for(let o=0;oDe(o.clone()))})}apply(t,e){let n=e==null?null:e.initialState,o=e==null?null:e.constants;e==null&&(e={});let s=Bv(t,n,o,this.numConstants);t=s.inputs,n=s.initialState,o=s.constants;let i=[],a=[];if(n!=null){e.initialState=n,i=i.concat(n),this.stateSpec=[];for(let l of n)this.stateSpec.push(new ye({shape:l.shape}));a=a.concat(this.stateSpec)}if(o!=null&&(e.constants=o,i=i.concat(o),this.numConstants=o.length),i[0]instanceof Jr){let l=[t].concat(i),c=this.inputSpec.concat(a),p=this.inputSpec;this.inputSpec=c;let m=super.apply(l,e);return this.inputSpec=p,m}else return super.apply(t,e)}call(t,e){return B(()=>{let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;t=Nt(t),s==null&&(this.stateful?s=this.states_:s=this.getInitialState(t));let i=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;if(s.length!==i)throw new M(`RNN Layer has ${i} state(s) but was passed ${s.length} initial state(s).`);this.unroll&&console.warn(\"Ignoring unroll = true for RNN layer, due to imperative backend.\");let a={training:o},l=Vv((d,h)=>{let g=this.cell.call([d].concat(h),a);return[g[0],g.slice(1)]},t,s,this.goBackwards,n,null,this.unroll,this.returnSequences),c=l[0],p=l[1],m=l[2];this.stateful&&this.resetStates(m,o);let f=this.returnSequences?p:c;return this.returnState?[f].concat(m):f})}getInitialState(t){return B(()=>{let e=Ne(t.shape);return e=ft(e,[1,2]),e=nl(e),Array.isArray(this.cell.stateSize)?this.cell.stateSize.map(n=>n>1?Ey(e,[1,n]):e):this.cell.stateSize>1?[Ey(e,[1,this.cell.stateSize])]:[e]})}get trainableWeights(){return this.trainable?this.cell.trainableWeights:[]}get nonTrainableWeights(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}setFastWeightInitDuringBuild(t){super.setFastWeightInitDuringBuild(t),this.cell!=null&&this.cell.setFastWeightInitDuringBuild(t)}getConfig(){let t=super.getConfig(),e={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};this.numConstants!=null&&(e.numConstants=this.numConstants);let n=this.cell.getConfig();return this.getClassName()===Tn.className&&(e.cell={className:this.cell.getClassName(),config:n}),Object.assign(Object.assign(Object.assign({},n),t),e)}static fromConfig(t,e,n={}){let o=e.cell,s=gn(o,n);return new t(Object.assign(e,{cell:s}))}};Tn.className=\"RNN\";Q.registerClass(Tn);var ll=class extends $t{},wc=class extends ll{constructor(t){super(t),this.DEFAULT_ACTIVATION=\"tanh\",this.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",this.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",this.DEFAULT_BIAS_INITIALIZER=\"zeros\",this.units=t.units,Ze(this.units,\"units\"),this.activation=Xs(t.activation==null?this.DEFAULT_ACTIVATION:t.activation),this.useBias=t.useBias==null?!0:t.useBias,this.kernelInitializer=de(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=de(t.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=de(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=be(t.kernelRegularizer),this.recurrentRegularizer=be(t.recurrentRegularizer),this.biasRegularizer=be(t.biasRegularizer),this.kernelConstraint=Be(t.kernelConstraint),this.recurrentConstraint=Be(t.recurrentConstraint),this.biasConstraint=Be(t.biasConstraint),this.dropout=ac([1,qs([0,t.dropout==null?0:t.dropout])]),this.recurrentDropout=ac([1,qs([0,t.recurrentDropout==null?0:t.recurrentDropout])]),this.dropoutFunc=t.dropoutFunc,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(t){t=Bt(t),this.kernel=this.addWeight(\"kernel\",[t[t.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(t,e){return B(()=>{if(t=t,t.length!==2)throw new M(`SimpleRNNCell expects 2 input Tensors, got ${t.length}.`);let n=t[1];t=t[0];let o=e.training==null?!1:e.training;0yr(t),rate:this.dropout,training:o,dropoutFunc:this.dropoutFunc})),0yr(n),rate:this.recurrentDropout,training:o,dropoutFunc:this.dropoutFunc}));let s,i=this.dropoutMask,a=this.recurrentDropoutMask;i!=null?s=To(D(t,i),this.kernel.read()):s=To(t,this.kernel.read()),this.bias!=null&&(s=fn(s,this.bias.read())),a!=null&&(n=D(n,a));let u=X(s,To(n,this.recurrentKernel.read()));return this.activation!=null&&(u=this.activation.apply(u)),[u,u]})}getConfig(){let t=super.getConfig(),e={units:this.units,activation:js(this.activation),useBias:this.useBias,kernelInitializer:Te(this.kernelInitializer),recurrentInitializer:Te(this.recurrentInitializer),biasInitializer:Te(this.biasInitializer),kernelRegularizer:me(this.kernelRegularizer),recurrentRegularizer:me(this.recurrentRegularizer),biasRegularizer:me(this.biasRegularizer),activityRegularizer:me(this.activityRegularizer),kernelConstraint:ze(this.kernelConstraint),recurrentConstraint:ze(this.recurrentConstraint),biasConstraint:ze(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign(Object.assign({},t),e)}};wc.className=\"SimpleRNNCell\";Q.registerClass(wc);var sf=class extends Tn{constructor(t){t.cell=new wc(t),super(t)}call(t,e){return B(()=>{this.cell.dropoutMask!=null&&(vt(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(vt(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;return super.call(t,{mask:n,training:o,initialState:s})})}static fromConfig(t,e){return new t(e)}};sf.className=\"SimpleRNN\";Q.registerClass(sf);var Cc=class extends ll{constructor(t){if(super(t),this.DEFAULT_ACTIVATION=\"tanh\",this.DEFAULT_RECURRENT_ACTIVATION=\"hardSigmoid\",this.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",this.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",this.DEFAULT_BIAS_INITIALIZER=\"zeros\",t.resetAfter)throw new M(\"GRUCell does not support reset_after parameter set to true.\");this.units=t.units,Ze(this.units,\"units\"),this.activation=Xs(t.activation===void 0?this.DEFAULT_ACTIVATION:t.activation),this.recurrentActivation=Xs(t.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),this.useBias=t.useBias==null?!0:t.useBias,this.kernelInitializer=de(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=de(t.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=de(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=be(t.kernelRegularizer),this.recurrentRegularizer=be(t.recurrentRegularizer),this.biasRegularizer=be(t.biasRegularizer),this.kernelConstraint=Be(t.kernelConstraint),this.recurrentConstraint=Be(t.recurrentConstraint),this.biasConstraint=Be(t.biasConstraint),this.dropout=ac([1,qs([0,t.dropout==null?0:t.dropout])]),this.recurrentDropout=ac([1,qs([0,t.recurrentDropout==null?0:t.recurrentDropout])]),this.dropoutFunc=t.dropoutFunc,this.implementation=t.implementation,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(t){t=Bt(t);let e=t[t.length-1];this.kernel=this.addWeight(\"kernel\",[e,this.units*3],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,this.units*3],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[this.units*3],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(t,e){return B(()=>{if(t=t,t.length!==2)throw new M(`GRUCell expects 2 input Tensors (inputs, h, c), got ${t.length}.`);let n=e.training==null?!1:e.training,o=t[1];t=t[0],0yr(t),rate:this.dropout,training:n,count:3,dropoutFunc:this.dropoutFunc})),0yr(o),rate:this.recurrentDropout,training:n,count:3,dropoutFunc:this.dropoutFunc}));let s=this.dropoutMask,i=this.recurrentDropoutMask,a,u,l;0{this.cell.dropoutMask!=null&&(vt(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(vt(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;return super.call(t,{mask:n,training:o,initialState:s})})}static fromConfig(t,e){return e.implmentation===0&&(e.implementation=1),new t(e)}};af.className=\"GRU\";Q.registerClass(af);var ul=class extends ll{constructor(t){super(t),this.DEFAULT_ACTIVATION=\"tanh\",this.DEFAULT_RECURRENT_ACTIVATION=\"hardSigmoid\",this.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",this.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",this.DEFAULT_BIAS_INITIALIZER=\"zeros\",this.units=t.units,Ze(this.units,\"units\"),this.activation=Xs(t.activation===void 0?this.DEFAULT_ACTIVATION:t.activation),this.recurrentActivation=Xs(t.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),this.useBias=t.useBias==null?!0:t.useBias,this.kernelInitializer=de(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=de(t.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=de(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.unitForgetBias=t.unitForgetBias,this.kernelRegularizer=be(t.kernelRegularizer),this.recurrentRegularizer=be(t.recurrentRegularizer),this.biasRegularizer=be(t.biasRegularizer),this.kernelConstraint=Be(t.kernelConstraint),this.recurrentConstraint=Be(t.recurrentConstraint),this.biasConstraint=Be(t.biasConstraint),this.dropout=ac([1,qs([0,t.dropout==null?0:t.dropout])]),this.recurrentDropout=ac([1,qs([0,t.recurrentDropout==null?0:t.recurrentDropout])]),this.dropoutFunc=t.dropoutFunc,this.implementation=t.implementation,this.stateSize=[this.units,this.units],this.dropoutMask=null,this.recurrentDropoutMask=null}build(t){var e;t=Bt(t);let n=t[t.length-1];this.kernel=this.addWeight(\"kernel\",[n,this.units*4],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,this.units*4],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint);let o;if(this.useBias){if(this.unitForgetBias){let s=this.biasInitializer,i=this.units;o=new(e=class extends dn{apply(u,l){let c=s.apply([i]),p=new yu().apply([i]),m=s.apply([i*2]);return Tv(Tv(c,p),m)}},e.className=\"CustomInit\",e)}else o=this.biasInitializer;this.bias=this.addWeight(\"bias\",[this.units*4],null,o,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0}call(t,e){return B(()=>{let n=e.training==null?!1:e.training;if(t=t,t.length!==3)throw new M(`LSTMCell expects 3 input Tensors (inputs, h, c), got ${t.length}.`);let o=t[1],s=t[2];t=t[0],0yr(t),rate:this.dropout,training:n,count:4,dropoutFunc:this.dropoutFunc})),0yr(o),rate:this.recurrentDropout,training:n,count:4,dropoutFunc:this.dropoutFunc}));let i=this.dropoutMask,a=this.recurrentDropoutMask,u,l,c,p;0{this.cell.dropoutMask!=null&&(vt(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(vt(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;return super.call(t,{mask:n,training:o,initialState:s})})}static fromConfig(t,e){return e.implmentation===0&&(e.implementation=1),new t(e)}};lf.className=\"LSTM\";Q.registerClass(lf);var Ic=class extends ll{constructor(t){super(t),this.cells=t.cells}get stateSize(){let t=[];for(let e of this.cells.slice().reverse())Array.isArray(e.stateSize)?t.push(...e.stateSize):t.push(e.stateSize);return t}call(t,e){return B(()=>{t=t;let n=t.slice(1),o=[];for(let a of this.cells.slice().reverse())Array.isArray(a.stateSize)?o.push(n.splice(0,a.stateSize.length)):o.push(n.splice(0,1));o.reverse();let s=[],i;for(let a=0;a{Hs(`RNNCell_${o}`,()=>{n.build(t),Array.isArray(n.stateSize)?e=n.stateSize[0]:e=n.stateSize,t=[t[0],e]})}),this.built=!0}getConfig(){let t=super.getConfig(),e=s=>({className:s.getClassName(),config:s.getConfig()}),o={cells:this.cells.map(e)};return Object.assign(Object.assign({},t),o)}static fromConfig(t,e,n={}){let o=[];for(let s of e.cells)o.push(gn(s,n));return new t({cells:o})}get trainableWeights(){if(!this.trainable)return[];let t=[];for(let e of this.cells)t.push(...e.trainableWeights);return t}get nonTrainableWeights(){let t=[];for(let e of this.cells)t.push(...e.nonTrainableWeights);if(!this.trainable){let e=[];for(let n of this.cells)e.push(...n.trainableWeights);return e.concat(t)}return t}getWeights(){let t=[];for(let e of this.cells)t.push(...e.weights);return Ih(t)}setWeights(t){let e=[];for(let n of this.cells){let o=n.weights.length,s=t.splice(o);for(let i=0;is!=null?s(t(),e):Ay(t(),e),a=()=>xu(i,t,n);return!o||o<=1?De(a().clone()):Array(o).fill(void 0).map(a).map(l=>De(l.clone()))}var J8=function(r,t){var e={};for(var n in r)Object.prototype.hasOwnProperty.call(r,n)&&t.indexOf(n)<0&&(e[n]=r[n]);if(r!=null&&typeof Object.getOwnPropertySymbols==\"function\")for(var o=0,n=Object.getOwnPropertySymbols(r);o{if(this.cell.dropoutMask!=null&&(vt(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(vt(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null),e&&e.constants)throw new M(\"ConvRNN2D cell does not support constants\");let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;return super.call(t,{mask:n,training:o,initialState:s})})}computeOutputShape(t){let e=this.computeSingleOutputShape(t);return this.returnSequences||(e=[e[0],...e.slice(2)]),this.returnState&&(e=[e,...Array(2).fill([t[0],...e.slice(-3)])]),e}getInitialState(t){return B(()=>{let{stateSize:e}=this.cell,n=t.shape,o=this.computeSingleOutputShape(n),s=[o[0],...o.slice(2)],i=Ne(s);return Array.isArray(e)?Array(e.length).fill(i):[i]})}resetStates(t,e=!1){B(()=>{if(!this.stateful)throw new vn(\"Cannot call resetStates() on an RNN Layer that is not stateful.\");let n=this.inputSpec[0].shape,o=this.computeSingleOutputShape(n),s=[o[0],...o.slice(2)];if(n[0]==null)throw new M(\"If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \\n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.\");if(this.getStates()==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>Ne(s)):this.states_=[Ne(s)];else if(t==null)vt(this.states_),this.keptStates!=null&&(vt(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>Ne(s)):this.states_[0]=Ne(s);else{if(Array.isArray(t)||(t=[t]),t.length!==this.states_.length)throw new M(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${t.length} state value(s). Input received: ${t}`);e?this.keptStates.push(this.states_.slice()):vt(this.states_);for(let a=0;aDe(a.clone()))})}computeSingleOutputShape(t){let{dataFormat:e,filters:n,kernelSize:o,padding:s,strides:i,dilationRate:a}=this.cell,u=e===\"channelsFirst\",l=t[u?3:2],c=t[u?4:3],p=Nn(l,o[0],s,i[0],a[0]),m=Nn(c,o[1],s,i[1],a[1]);return[...t.slice(0,2),...u?[n,p,m]:[p,m,n]]}};db.className=\"ConvRNN2D\";var Sc=class extends ul{constructor(t){let{filters:e,kernelSize:n,strides:o,padding:s,dataFormat:i,dilationRate:a}=t;super(Object.assign(Object.assign({},t),{units:e})),this.filters=e,Ze(this.filters,\"filters\"),this.kernelSize=Cu(n,2,\"kernelSize\"),this.kernelSize.forEach(u=>Ze(u,\"kernelSize\")),this.strides=Cu(o||1,2,\"strides\"),this.strides.forEach(u=>Ze(u,\"strides\")),this.padding=s||\"valid\",pn(this.padding),this.dataFormat=i||\"channelsLast\",Fe(this.dataFormat),this.dilationRate=Cu(a||1,2,\"dilationRate\"),this.dilationRate.forEach(u=>Ze(u,\"dilationRate\"))}build(t){var e;t=Bt(t);let n=this.dataFormat===\"channelsFirst\"?1:t.length-1;if(t[n]==null)throw new M(`The channel dimension of the input should be defined. Found ${t[n]}`);let o=t[n],s=4,i=this.kernelSize.concat([o,this.filters*s]);this.kernel=this.addWeight(\"kernel\",i,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);let a=this.kernelSize.concat([this.filters,this.filters*s]);if(this.recurrentKernel=this.addWeight(\"recurrent_kernel\",a,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){let u;if(this.unitForgetBias){let l=this.biasInitializer,c=this.filters;u=new(e=class extends dn{apply(m,f){let d=l.apply([c]),h=cr([c]),g=l.apply([c*2]);return Nm([d,h,g])}},e.className=\"CustomInit\",e)}else u=this.biasInitializer;this.bias=this.addWeight(\"bias\",[this.filters*s],null,u,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0}call(t,e){return B(()=>{if(t.length!==3)throw new M(`ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got ${t.length}.`);let n=e.training||!1,o=t[0],s=t[1],i=t[2],a=4;0yr(o),rate:this.dropout,training:n,count:a,dropoutFunc:this.dropoutFunc}));let u=this.dropoutMask,l=(rt,ot,at)=>!ot||!ot[at]?rt:D(ot[at],rt),c=l(o,u,0),p=l(o,u,1),m=l(o,u,2),f=l(o,u,3);0yr(s),rate:this.recurrentDropout,training:n,count:a,dropoutFunc:this.dropoutFunc}));let d=this.recurrentDropoutMask,h=l(s,d,0),g=l(s,d,1),x=l(s,d,2),b=l(s,d,3),w=3,[C,N,_,A]=mr(this.kernel.read(),a,w),[$,F,P,V]=this.useBias?mr(this.bias.read(),a):[null,null,null,null];c=this.inputConv(c,C,$,this.padding),p=this.inputConv(p,N,F,this.padding),m=this.inputConv(m,_,P,this.padding),f=this.inputConv(f,A,V,this.padding);let[G,W,q,H]=mr(this.recurrentKernel.read(),a,w);h=this.recurrentConv(h,G),g=this.recurrentConv(g,W),x=this.recurrentConv(x,q),b=this.recurrentConv(b,H);let j=this.recurrentActivation.apply(X(c,h)),Y=this.recurrentActivation.apply(X(p,g)),Z=X(D(Y,i),D(j,this.activation.apply(X(m,x)))),et=D(this.recurrentActivation.apply(X(f,b)),this.activation.apply(Z));return[et,et,Z]})}getConfig(){let t=super.getConfig(),{units:e}=t,n=J8(t,[\"units\"]),o={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign(Object.assign({},n),o)}inputConv(t,e,n,o){let s=In(t,e,this.strides,o||\"valid\",this.dataFormat===\"channelsFirst\"?\"NCHW\":\"NHWC\",this.dilationRate);return n?fn(s,n,this.dataFormat):s}recurrentConv(t,e){return In(t,e,1,\"same\",this.dataFormat===\"channelsFirst\"?\"NCHW\":\"NHWC\")}};Sc.className=\"ConvLSTM2DCell\";Q.registerClass(Sc);var uf=class extends db{constructor(t){let e=new Sc(t);super(Object.assign(Object.assign({},t),{cell:e}))}static fromConfig(t,e){return new t(e)}};uf.className=\"ConvLSTM2D\";Q.registerClass(uf);var vc=class extends $t{constructor(t){super(t),this.rate=Math.max(Math.min(t.rate,1),0),this.noiseShape=t.noiseShape,this.seed=t.seed,this.supportsMasking=!0}getNoiseShape(t){if(this.noiseShape==null)return this.noiseShape;let e=t.shape,n=[];for(let o=0;o{this.invokeCallHook(t,e);let n=Nt(t);if(0Ay(n,this.rate,s,this.seed),()=>n,o)}return t})}getConfig(){let t={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},e=super.getConfig();return Object.assign(t,e),t}dispose(){return super.dispose()}};vc.className=\"Dropout\";Q.registerClass(vc);var cf=class extends vc{constructor(t){super(t),this.inputSpec=[{ndim:3}]}getNoiseShape(t){let e=t.shape;return[e[0],1,e[2]]}};cf.className=\"SpatialDropout1D\";Q.registerClass(cf);var pf=class extends $t{constructor(t){if(super(t),this.activation=null,this.useBias=!0,this.kernel=null,this.bias=null,this.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",this.DEFAULT_BIAS_INITIALIZER=\"zeros\",t.batchInputShape==null&&t.inputShape==null&&t.inputDim!=null){let e=null;t.batchSize!=null&&(e=t.batchSize),this.batchInputShape=[e,t.inputDim]}this.units=t.units,Ze(this.units,\"units\"),this.activation=Xs(t.activation),t.useBias!=null&&(this.useBias=t.useBias),this.kernelInitializer=de(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.biasInitializer=de(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelConstraint=Be(t.kernelConstraint),this.biasConstraint=Be(t.biasConstraint),this.kernelRegularizer=be(t.kernelRegularizer),this.biasRegularizer=be(t.biasRegularizer),this.activityRegularizer=be(t.activityRegularizer),this.supportsMasking=!0,this.inputSpec=[{minNDim:2}]}build(t){t=Bt(t);let e=t[t.length-1];this.kernel==null&&(this.kernel=this.addWeight(\"kernel\",[e,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:{[-1]:e}}],this.built=!0}computeOutputShape(t){t=Bt(t);let e=t.slice();return e[e.length-1]=this.units,e}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=Nt(t),o=Iy(this.activation.getClassName()),s;return o!=null?s=To(n,this.kernel.read(),o,this.bias?this.bias.read():null):(s=To(n,this.kernel.read()),this.bias!=null&&(s=fn(s,this.bias.read())),this.activation!=null&&(s=this.activation.apply(s))),s})}getConfig(){let t={units:this.units,activation:js(this.activation),useBias:this.useBias,kernelInitializer:Te(this.kernelInitializer),biasInitializer:Te(this.biasInitializer),kernelRegularizer:me(this.kernelRegularizer),biasRegularizer:me(this.biasRegularizer),activityRegularizer:me(this.activityRegularizer),kernelConstraint:ze(this.kernelConstraint),biasConstraint:ze(this.biasConstraint)},e=super.getConfig();return Object.assign(t,e),t}};pf.className=\"Dense\";Q.registerClass(pf);var mf=class extends $t{constructor(t){t=t||{},super(t),this.inputSpec=[{minNDim:3}],this.dataFormat=t.dataFormat}computeOutputShape(t){t=Bt(t);for(let e of t.slice(1))if(e==null)throw new M(`The shape of the input to \"Flatten\" is not fully defined (got ${t.slice(1)}). Make sure to pass a complete \"input_shape\" or \"batch_input_shape\" argument to the first layer in your model.`);return[t[0],No(t,1)]}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=Nt(t);if(this.dataFormat===\"channelsFirst\"&&n.rank>1){let o=[0];for(let s=2;s{this.invokeCallHook(t,e);let n=Nt(t);return this.activation.apply(n)})}getConfig(){let t={activation:js(this.activation)},e=super.getConfig();return Object.assign(t,e),t}};ff.className=\"Activation\";Q.registerClass(ff);var df=class extends $t{constructor(t){super(t),this.n=t.n,this.inputSpec=[{ndim:2}]}computeOutputShape(t){return[t[0],this.n,t[1]]}call(t,e){return B(()=>(t=Nt(t),$$(t,this.n)))}getConfig(){let t={n:this.n},e=super.getConfig();return Object.assign(t,e),t}};df.className=\"RepeatVector\";Q.registerClass(df);var hf=class extends $t{constructor(t){super(t),this.targetShape=t.targetShape;for(let e=0;e{this.invokeCallHook(t,e);let n=Nt(t),o=n.shape,s=o.slice(0,1).concat(this.fixUnknownDimension(o.slice(1),this.targetShape));return R(n,s)})}getConfig(){let t={targetShape:this.targetShape},e=super.getConfig();return Object.assign(t,e),t}};hf.className=\"Reshape\";Q.registerClass(hf);var gf=class extends $t{constructor(t){if(super(t),t.dims==null)throw new Error(\"Required configuration field `dims` is missing during Permute constructor call.\");if(!Array.isArray(t.dims))throw new Error(`Permute constructor requires \\`dims\\` to be an Array, but received ${t.dims} instead.`);let e=Zr(1,t.dims.length+1);if(!y.arraysEqual(t.dims.slice().sort(),e))throw new Error(\"Invalid permutation `dims`: \"+JSON.stringify(t.dims)+\" `dims` must contain consecutive integers starting from 1.\");this.dims=t.dims,this.dimsIncludingBatch=[0].concat(this.dims),this.inputSpec=[new ye({ndim:this.dims.length+1})]}computeOutputShape(t){t=Bt(t);let e=t.slice();return this.dims.forEach((n,o)=>{e[o+1]=t[n]}),e}call(t,e){return Ot(Nt(t),this.dimsIncludingBatch)}getConfig(){let t={dims:this.dims},e=super.getConfig();return Object.assign(t,e),t}};gf.className=\"Permute\";Q.registerClass(gf);var xf=class extends $t{constructor(t){super(t==null?{}:t),this.supportsMasking=!0,t!=null?this.maskValue=t.maskValue==null?0:t.maskValue:this.maskValue=0}computeOutputShape(t){return t}getConfig(){let t=super.getConfig(),e={maskValue:this.maskValue};return Object.assign(e,t),e}computeMask(t,e){let n=Nt(t),o=-1;return qu(Bs(n,this.maskValue),o)}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=Nt(t),o=-1,s=!0,i=qu(Bs(n,this.maskValue),o,s);return D(n,J(i,n.dtype))})}};xf.className=\"Masking\";Q.registerClass(xf);var yf=class extends $t{constructor(t){if(super(t),this.embeddings=null,this.DEFAULT_EMBEDDINGS_INITIALIZER=\"randomUniform\",t.batchInputShape==null&&t.inputShape==null){let e=null;t.batchSize!=null&&(e=t.batchSize),t.inputLength==null?this.batchInputShape=[e,null]:this.batchInputShape=[e].concat(xe(t.inputLength))}this.inputDim=t.inputDim,Ze(this.inputDim,\"inputDim\"),this.outputDim=t.outputDim,Ze(this.outputDim,\"outputDim\"),this.embeddingsInitializer=de(t.embeddingsInitializer||this.DEFAULT_EMBEDDINGS_INITIALIZER),this.embeddingsRegularizer=be(t.embeddingsRegularizer),this.activityRegularizer=be(t.activityRegularizer),this.embeddingsConstraint=Be(t.embeddingsConstraint),this.maskZero=t.maskZero,this.supportsMasking=t.maskZero,this.inputLength=t.inputLength}build(t){this.embeddings=this.addWeight(\"embeddings\",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0}warnOnIncompatibleInputShape(t){}computeMask(t,e){return B(()=>this.maskZero?(t=Nt(t),Bs(t,It(t))):null)}computeOutputShape(t){if(t=Bt(t),this.inputLength==null)return[...t,this.outputDim];let e=xe(this.inputLength);if(e.length!==t.length-1)throw new M(`\"inputLength\" is ${this.inputLength}, but received input shape has shape ${t}`);{let n=0;for(let o=0;o{this.invokeCallHook(t,e);let n=Nt(t);n.dtype!==\"int32\"&&(n=no(n,\"int32\"));let o=_y(this.embeddings.read(),R(n,[n.size]));return R(o,Bt(this.computeOutputShape(n.shape)))})}getConfig(){let t={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:Te(this.embeddingsInitializer),embeddingsRegularizer:me(this.embeddingsRegularizer),activityRegularizer:me(this.activityRegularizer),embeddingsConstraint:ze(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},e=super.getConfig();return Object.assign(t,e),t}};yf.className=\"Embedding\";Q.registerClass(yf);var pl=class extends $t{constructor(t){super(t||{}),this.supportsMasking=!0}mergeFunction(t){throw new St}computeElementwiseOpOutputShape(t,e){if(t==null||e==null)return null;if(t.length1)throw new M(`Can not merge tensors with different batch sizes. Got tensors with shapes: ${JSON.stringify(t)}.`);let n=t[0]==null?null:t[0].slice(1);for(let s=1;ss.length);t.indexOf(null)===-1&&vo(o).length===1?this.reshapeRequired=!1:this.reshapeRequired=!0}call(t,e){return B(()=>{if(t=t,this.reshapeRequired){let n=[],o=t.map(s=>s.rank);if(o.indexOf(null)===-1){let s=qs(o);for(let i of t){let a=i.rank;for(let u=0;u1){let c=Zr(1,l).concat([0]);n.push(Ot(u,c)),s=!0}else n.push(u)}let i=this.mergeFunction(n),a=i.rank;if(s){if(a==null){let u=i.shape,l=u.length,c=u[l-1],p=[c].concat(u.slice(0,u.length-1));i=R(Ot(R(i,[-1,c]),[1,0]),p)}else if(a>1){let u=[a-1].concat(Zr(0,a-1));i=Ot(i,u)}}return i}}else return this.mergeFunction(t)})}computeOutputShape(t){t=t;let e;t[0]==null?e=null:e=t[0].slice(1);for(let o=1;o{if(e==null)return null;if(!Array.isArray(e))throw new M(\"`mask` should be an Array\");if(!Array.isArray(t))throw new M(\"`inputs` should be an Array\");if(e.length!==t.length)throw new M(`The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths (${t.length} vs ${e.length})`);if(e.every(o=>o==null))return null;e=e.map(o=>o==null?o:rr(o,0));let n=e[0];for(let o=1;o{let e=t[0].clone();for(let n=1;n{let e=t[0].clone();for(let n=1;n{let e=t[0].clone();for(let n=1;n{let e=t[0];for(let n=1;n{let e=t[0];for(let n=1;n1)throw new M(\"A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: \"+JSON.stringify(t))}mergeFunction(t){return B(()=>Nm(t,this.axis))}computeOutputShape(t){if(!(Array.isArray(t)&&Array.isArray(t[0])))throw new M(\"A `Concatenate` layer should be called on a list of inputs.\");let e=t,n=e[0].slice(),o=this.axis<0?n.length+this.axis:this.axis;for(let s of e.slice(1)){if(n[o]==null||s[o]==null){n[o]=null;break}n[o]+=s[o]}return n}computeMask(t,e){if(e==null)return null;if(!Array.isArray(e))throw new M(\"`mask` should be an array for Concatenate\");if(!Array.isArray(t))throw new M(\"`inputs` should be an array for Concatenate\");if(e.length!==t.length)throw new M(`Mismatch in the length of mask (${e.length}) and the legnth of inputs (${t.length})`);return B(()=>{let n=!0;if(e.forEach(i=>{if(i!=null){n=!1;return}}),n)return null;let o=[];for(let i=0;i3||t.shape.length>3)throw new St(\"batchDot is not implemented for tensors of 4D or higher rank yet\");if(y.assert(r.shape.length>=2,()=>`batchDot requires the rank of x to be >= 2, but got ${r.shape.length}`),y.assert(r.shape.length>=2,()=>`batchDot requires the rank of y to be >= 2, but got ${t.shape.length}`),typeof e==\"number\"&&(e=[e,e]),r.dtype===\"complex64\"||t.dtype===\"complex64\")throw new St(\"batchDot is not implemented for complex64-type Tensors yet.\");let n=r.shape.length,o=t.shape.length;e==null&&(e=[n-1,o-2]);let s=e;return B(()=>{let i;if(n>o){i=n-o;let u=[];for(let l=0;ln){i=o-n;let u=[];for(let l=0;l0){let u;n>o?u=n+o-3:u=n-1;let l=[];for(let c=u;c\"A `Dot` layer should be called on a list of exactly 2 inputs.\");let e=t[0],n=t[1];if(e.length>3||n.length>3)throw new St(\"Dot layer does not support tensors of 4D or higher rank yet.\");let o=this.interpretAxes(e,n);if(e[o[0]]!==n[o[1]])throw new M(`Dimension incompatibility: ${e[o[0]]} !== ${n[o[1]]}`)}mergeFunction(t){if(t.length!==2)throw new M(`A \\`Dot\\` layer must be called on exactly 2 inputs, but received ${t.length} input(s).`);let e=t[0],n=t[1],o;return Array.isArray(this.axes)?o=this.axes.map((s,i)=>$h(s,t[i].shape.length)):o=[$h(this.axes,e.shape.length),$h(this.axes,n.shape.length)],this.normalize&&(e=Sh(e,o[0]),n=Sh(n,o[1])),Q8(e,n,o)}interpretAxes(t,e){let n;return Array.isArray(this.axes)?n=this.axes:n=[$h(this.axes,t.length),$h(this.axes,e.length)],n}computeOutputShape(t){y.assert(Array.isArray(t)&&t.length===2&&Array.isArray(t[0])&&Array.isArray(t[1]),()=>\"A `Dot` layer should be called on a list of exactly 2 inputs.\");let e=t[0].slice(),n=t[1].slice();if(e.length>3||n.length>3)throw new St(\"Dot layer does not support tensors of 4D or higher rank yet.\");let o=this.interpretAxes(e,n);e.splice(o[0],1),n.splice(o[1],1),n.splice(0,1);let s=e.concat(n);return s.length===1&&s.push(1),s}computeMask(t,e){return null}getConfig(){let t={axes:this.axes,normalize:this.normalize},e=super.getConfig();return Object.assign(t,e),t}};Nf.className=\"Dot\";Q.registerClass(Nf);var Tf=class extends $t{constructor(t){super(t),this.supportsMasking=!0,this.stddev=t.stddev}computeOutputShape(t){return t}getConfig(){let t=super.getConfig(),e={stddev:this.stddev};return Object.assign(e,t),e}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=Nt(t);return xu(()=>X(Tm(n.shape,0,this.stddev),n),()=>n,e.training||!1)})}};Tf.className=\"GaussianNoise\";Q.registerClass(Tf);var kf=class extends $t{constructor(t){super(t),this.supportsMasking=!0,this.rate=t.rate}computeOutputShape(t){return t}getConfig(){let t=super.getConfig(),e={rate:this.rate};return Object.assign(e,t),e}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=Nt(t);return this.rate>0&&this.rate<1?xu(()=>{let s=Math.sqrt(this.rate/(1-this.rate));return D(n,Tm(n.shape,1,s))},()=>n,e.training||!1):n})}};kf.className=\"GaussianDropout\";Q.registerClass(kf);var Ef=class extends $t{constructor(t){super(t),this.supportsMasking=!0,this.rate=t.rate,this.noiseShape=t.noiseShape}_getNoiseShape(t){return this.noiseShape||Nt(t).shape}computeOutputShape(t){return t}getConfig(){let t=super.getConfig(),e={rate:this.rate};return Object.assign(e,t),e}call(t,e){return B(()=>{if(this.rate<1&&this.rate>0){let n=this._getNoiseShape(t);return xu(()=>{let s=Nt(t),i=1.6732632423543772,a=1.0507009873554805,u=-i*a,l=ln(zi(n),this.rate);l=no(l,\"float32\");let c=((1-this.rate)*(1+this.rate*u**2))**-.5,p=-c*u*this.rate,m=X(D(s,l),D(X(l,-1),u));return X(D(m,c),p)},()=>Nt(t),e.training||!1)}return t})}};Ef.className=\"AlphaDropout\";Q.registerClass(Ef);function Dh(r,t,e,n,o,s=.001){let i;if(r.rank===2)i=xx(r,t,e,n,o,s);else if(r.rank===3)i=yx(r,t,e,n,o,s);else if(r.rank===4)i=bx(r,t,e,n,o,s);else throw new St(`batchNormalization is not implemented for array of rank ${r.rank} yet`);return i}function tY(r,t,e,n,o=.001){return B(()=>{let s=Zu(r,n),i=s.mean,a=s.variance;return[Dh(r,i,a,e,t,o),i,a]})}function eY(r,t,e,n,o=.001){return B(()=>{let s=Zu(r,n),i=s.mean,a=s.variance,u=[];for(let d of Zr(0,r.rank))n.indexOf(d)!==-1?u.push(1):u.push(r.shape[d]);let l=R(i,u),c=R(a,u),p=t==null?null:R(t,u),m=e==null?null:R(e,u);return[Dh(r,l,c,m,p,o),i,a]})}function rY(r,t,e,n,o=.001){return y.arraysEqual(n.slice().sort(),Zr(0,r.rank-1))?tY(r,t,e,n,o):eY(r,t,e,n,o)}var _f=class extends $t{constructor(t){t==null&&(t={}),super(t),this.supportsMasking=!0,this.axis=t.axis==null?-1:t.axis,this.momentum=t.momentum==null?.99:t.momentum,this.epsilon=t.epsilon==null?.001:t.epsilon,this.center=t.center==null?!0:t.center,this.scale=t.scale==null?!0:t.scale,this.betaInitializer=de(t.betaInitializer||\"zeros\"),this.gammaInitializer=de(t.gammaInitializer||\"ones\"),this.movingMeanInitializer=de(t.movingMeanInitializer||\"zeros\"),this.movingVarianceInitializer=de(t.movingVarianceInitializer||\"ones\"),this.betaConstraint=Be(t.betaConstraint),this.gammaConstraint=Be(t.gammaConstraint),this.betaRegularizer=be(t.betaRegularizer),this.gammaRegularizer=be(t.gammaRegularizer)}build(t){t=Bt(t);let e=this.axis>=0?this.axis:this.axis+t.length,n=t[e];if(n==null)throw new M(`Axis ${e} of input tensor should have a defined dimension but the layer received an input with shape ${JSON.stringify(t)}.`);this.inputSpec=[new ye({ndim:t.length,axes:{[e]:n}})];let o=[n];this.scale&&(this.gamma=this.addWeight(\"gamma\",o,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight(\"beta\",o,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight(\"moving_mean\",o,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight(\"moving_variance\",o,null,this.movingVarianceInitializer,null,!1),this.built=!0}call(t,e){return B(()=>{let n=e.training==null?!1:e.training,o=Nt(t),s=o.shape,i=s.length,a=Zr(0,i),u=this.axis>=0?this.axis:this.axis+i;a.splice(u,1);let l=Io(1,i);l[u]=s[u];let c=a.slice();c.sort();let p=!y.arraysEqual(c,Zr(0,i).slice(0,i-1)),m=()=>{if(p){let b=R(this.movingMean.read(),l),w=R(this.movingVariance.read(),l),C=this.center?R(this.beta.read(),l):null,N=this.scale?R(this.gamma.read(),l):null;return Dh(o,b,w,C,N,this.epsilon)}else return Dh(o,this.movingMean.read(),this.movingVariance.read(),this.beta==null?null:this.beta.read(),this.gamma==null?null:this.gamma.read(),this.epsilon)};if(!n)return m();let[f,d,h]=rY(o,this.gamma.read(),this.beta.read(),a,this.epsilon),g=(b,w,C)=>{B(()=>{let N=1-C,_=b.read(),A=D(ct(_,w),N);b.write(ct(_,A))})};return(()=>{g(this.movingMean,d,this.momentum),g(this.movingVariance,h,this.momentum)})(),f})}getConfig(){let t={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:Te(this.betaInitializer),gammaInitializer:Te(this.gammaInitializer),movingMeanInitializer:Te(this.movingMeanInitializer),movingVarianceInitializer:Te(this.movingVarianceInitializer),betaRegularizer:me(this.betaRegularizer),gammaRegularizer:me(this.gammaRegularizer),betaConstraint:ze(this.betaConstraint),gammaConstraint:ze(this.gammaConstraint)},e=super.getConfig();return Object.assign(t,e),t}};_f.className=\"BatchNormalization\";Q.registerClass(_f);var Af=class extends $t{constructor(t){if(t==null&&(t={}),super(t),this.axis=t.axis==null?-1:t.axis,typeof this.axis==\"number\"){if(!Number.isInteger(this.axis))throw new Error(`Expected axis to be an integer, but received ${this.axis}`)}else if(Array.isArray(this.axis)){for(let e of this.axis)if(!Number.isInteger(e))throw new Error(`Expected axis to be an array of integers, but received ${JSON.stringify(this.axis)}`)}else throw new Error(`Expected axis to be an integer or an array of integers, but received ${JSON.stringify(this.axis)}`);this.epsilon=t.epsilon==null?.001:t.epsilon,this.center=t.center==null?!0:t.center,this.scale=t.scale==null?!0:t.scale,this.betaInitializer=de(t.betaInitializer||\"zeros\"),this.gammaInitializer=de(t.gammaInitializer||\"ones\"),this.betaRegularizer=be(t.betaRegularizer),this.gammaRegularizer=be(t.gammaRegularizer),this.supportsMasking=!0}build(t){t=Bt(t);let e=t.length;typeof this.axis==\"number\"&&(this.axis=[this.axis]);for(let s=0;s=e)throw new Error(`Invalid axis: ${s}`);if(this.axis.length!==vo(this.axis).length)throw new Error(`Found duplicate axes in: ${this.axis}`);let n=this.axis.map(s=>t[s]),o=!0;this.scale?this.gamma=this.addWeight(\"gamma\",n,\"float32\",this.gammaInitializer,this.gammaRegularizer,o):this.gamma=null,this.center?this.beta=this.addWeight(\"beta\",n,\"float32\",this.betaInitializer,this.betaRegularizer,o):this.beta=null,this.built=!0}call(t,e){let n=Nt(t),o=n.shape,s=o.length;return B(()=>{let{mean:a,variance:u}=Zu(n,this.axis,!0),l=Io(1,s);for(let h of this.axis)l[h]=o[h];let c=h=>h!=null&&h.shape.length!==s?R(h,l):h,p=this.scale?c(this.gamma.read()):null,m=this.center?c(this.beta.read()):null,f=[],d=[];for(let h=0;h{if(r.rank!==4)throw new M(`temporalPadding expects input tensor to be 4-D, but received a ${r.rank}-D tensor.`);if(t==null&&(t=[[1,1],[1,1]]),t.length!==2||t[0].length!==2||t[1].length!==2)throw new M(\"spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.\");if(e==null&&(e=mn()),e!==\"channelsLast\"&&e!==\"channelsFirst\")throw new M(`Unknown data format: ${e}. Supported data formats are 'channelsLast' and 'channelsFirst.`);let n;return e===\"channelsFirst\"?n=[[0,0],[0,0],t[0],t[1]]:n=[[0,0],t[0],t[1],[0,0]],cn(r,n)})}var $f=class extends $t{constructor(t){if(t==null&&(t={}),super(t),this.dataFormat=t.dataFormat==null?mn():t.dataFormat,t.padding==null)this.padding=[[1,1],[1,1]];else if(typeof t.padding==\"number\")this.padding=[[t.padding,t.padding],[t.padding,t.padding]];else{if(t.padding=t.padding,t.padding.length!==2)throw new M(`ZeroPadding2D expects padding to be a length-2 array, but received a length-${t.padding.length} array.`);let e,n;if(typeof t.padding[0]==\"number\")e=[t.padding[0],t.padding[0]],n=[t.padding[1],t.padding[1]];else{if(t.padding=t.padding,t.padding[0].length!==2)throw new M(`ZeroPadding2D expects height padding to be a length-2 array, but received a length-${t.padding[0].length} array.`);if(e=t.padding[0],t.padding[1].length!==2)throw new M(`ZeroPadding2D expects width padding to be a length-2 array, but received a length-${t.padding[1].length} array.`);n=t.padding[1]}this.padding=[e,n]}this.inputSpec=[new ye({ndim:4})]}computeOutputShape(t){t=Bt(t);let e,n;return this.dataFormat===\"channelsFirst\"?(t[2]!=null&&t[2]>=0?e=t[2]+this.padding[0][0]+this.padding[0][1]:e=null,t[3]!=null&&t[3]>=0?n=t[3]+this.padding[1][0]+this.padding[1][1]:n=null,[t[0],t[1],e,n]):(t[1]!=null&&t[1]>=0?e=t[1]+this.padding[0][0]+this.padding[0][1]:e=null,t[2]!=null&&t[2]>=0?n=t[2]+this.padding[1][0]+this.padding[1][1]:n=null,[t[0],e,n,t[3]])}call(t,e){return B(()=>nY(Nt(t),this.padding,this.dataFormat))}getConfig(){let t={padding:this.padding,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}};$f.className=\"ZeroPadding2D\";Q.registerClass($f);function wb(r,t,e,n,o,s){return B(()=>{Fe(o),Iv(s),pn(n),e==null&&(e=[1,1]),n==null&&(n=\"valid\"),o==null&&(o=mn()),s==null&&(s=\"max\"),r=Ah(r,o);let i,a=n===\"same\"?\"same\":\"valid\";return s===\"max\"?i=ru(r,t,e,a):i=Yl(r,t,e,a),o===\"channelsFirst\"&&(i=Ot(i,[0,3,1,2])),i})}function CD(r,t,e,n,o,s){return B(()=>{Fe(o),Iv(s),pn(n),e==null&&(e=[1,1,1]),n==null&&(n=\"valid\"),o==null&&(o=mn()),s==null&&(s=\"max\"),r=zv(r,o);let i,a=n===\"same\"?\"same\":\"valid\";return s===\"max\"?i=Hx(r,t,e,a):i=gx(r,t,e,a),o===\"channelsFirst\"&&(i=Ot(i,[0,4,1,2,3])),i})}var hb=class extends $t{constructor(t){if(t.poolSize==null&&(t.poolSize=2),super(t),typeof t.poolSize==\"number\")this.poolSize=[t.poolSize];else if(Array.isArray(t.poolSize)&&t.poolSize.length===1&&typeof t.poolSize[0]==\"number\")this.poolSize=t.poolSize;else throw new M(`poolSize for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(t.poolSize)}`);if(Ze(this.poolSize,\"poolSize\"),t.strides==null)this.strides=this.poolSize;else if(typeof t.strides==\"number\")this.strides=[t.strides];else if(Array.isArray(t.strides)&&t.strides.length===1&&typeof t.strides[0]==\"number\")this.strides=t.strides;else throw new M(`strides for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(t.strides)}`);Ze(this.strides,\"strides\"),this.padding=t.padding==null?\"valid\":t.padding,pn(this.padding),this.inputSpec=[new ye({ndim:3})]}computeOutputShape(t){t=Bt(t);let e=Nn(t[1],this.poolSize[0],this.padding,this.strides[0]);return[t[0],e,t[2]]}call(t,e){return B(()=>{this.invokeCallHook(t,e),t=nl(Nt(t),2);let n=this.poolingFunction(Nt(t),[this.poolSize[0],1],[this.strides[0],1],this.padding,\"channelsLast\");return Mn(n,[2])})}getConfig(){let t={poolSize:this.poolSize,padding:this.padding,strides:this.strides},e=super.getConfig();return Object.assign(t,e),t}},Df=class extends hb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Fe(s),pn(o),wb(t,e,n,o,s,\"max\")}};Df.className=\"MaxPooling1D\";Q.registerClass(Df);var Rf=class extends hb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Fe(s),pn(o),wb(t,e,n,o,s,\"avg\")}};Rf.className=\"AveragePooling1D\";Q.registerClass(Rf);var gb=class extends $t{constructor(t){if(t.poolSize==null&&(t.poolSize=[2,2]),super(t),this.poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize],t.strides==null)this.strides=this.poolSize;else if(Array.isArray(t.strides)){if(t.strides.length!==2)throw new M(`If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length ${t.strides.length}.`);this.strides=t.strides}else this.strides=[t.strides,t.strides];Ze(this.poolSize,\"poolSize\"),Ze(this.strides,\"strides\"),this.padding=t.padding==null?\"valid\":t.padding,this.dataFormat=t.dataFormat==null?\"channelsLast\":t.dataFormat,Fe(this.dataFormat),pn(this.padding),this.inputSpec=[new ye({ndim:4})]}computeOutputShape(t){t=Bt(t);let e=this.dataFormat===\"channelsFirst\"?t[2]:t[1],n=this.dataFormat===\"channelsFirst\"?t[3]:t[2];return e=Nn(e,this.poolSize[0],this.padding,this.strides[0]),n=Nn(n,this.poolSize[1],this.padding,this.strides[1]),this.dataFormat===\"channelsFirst\"?[t[0],t[1],e,n]:[t[0],e,n,t[3]]}call(t,e){return B(()=>(this.invokeCallHook(t,e),this.poolingFunction(Nt(t),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}},Ff=class extends gb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Fe(s),pn(o),wb(t,e,n,o,s,\"max\")}};Ff.className=\"MaxPooling2D\";Q.registerClass(Ff);var Of=class extends gb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Fe(s),pn(o),wb(t,e,n,o,s,\"avg\")}};Of.className=\"AveragePooling2D\";Q.registerClass(Of);var xb=class extends $t{constructor(t){if(t.poolSize==null&&(t.poolSize=[2,2,2]),super(t),this.poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize,t.poolSize],t.strides==null)this.strides=this.poolSize;else if(Array.isArray(t.strides)){if(t.strides.length!==3)throw new M(`If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length ${t.strides.length}.`);this.strides=t.strides}else this.strides=[t.strides,t.strides,t.strides];Ze(this.poolSize,\"poolSize\"),Ze(this.strides,\"strides\"),this.padding=t.padding==null?\"valid\":t.padding,this.dataFormat=t.dataFormat==null?\"channelsLast\":t.dataFormat,Fe(this.dataFormat),pn(this.padding),this.inputSpec=[new ye({ndim:5})]}computeOutputShape(t){t=Bt(t);let e=this.dataFormat===\"channelsFirst\"?t[2]:t[1],n=this.dataFormat===\"channelsFirst\"?t[3]:t[2],o=this.dataFormat===\"channelsFirst\"?t[4]:t[3];return e=Nn(e,this.poolSize[0],this.padding,this.strides[0]),n=Nn(n,this.poolSize[1],this.padding,this.strides[1]),o=Nn(o,this.poolSize[2],this.padding,this.strides[2]),this.dataFormat===\"channelsFirst\"?[t[0],t[1],e,n,o]:[t[0],e,n,o,t[4]]}call(t,e){return B(()=>(this.invokeCallHook(t,e),this.poolingFunction(Nt(t),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}},Pf=class extends xb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Fe(s),pn(o),CD(t,e,n,o,s,\"max\")}};Pf.className=\"MaxPooling3D\";Q.registerClass(Pf);var Lf=class extends xb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Fe(s),pn(o),CD(t,e,n,o,s,\"avg\")}};Lf.className=\"AveragePooling3D\";Q.registerClass(Lf);var yb=class extends $t{constructor(t){super(t),this.inputSpec=[new ye({ndim:3})]}computeOutputShape(t){return[t[0],t[2]]}call(t,e){throw new St}},Mf=class extends yb{constructor(t){super(t||{})}call(t,e){return B(()=>{let n=Nt(t);return ve(n,1)})}};Mf.className=\"GlobalAveragePooling1D\";Q.registerClass(Mf);var zf=class extends yb{constructor(t){super(t||{})}call(t,e){return B(()=>{let n=Nt(t);return Ir(n,1)})}};zf.className=\"GlobalMaxPooling1D\";Q.registerClass(zf);var bb=class extends $t{constructor(t){super(t),this.dataFormat=t.dataFormat==null?\"channelsLast\":t.dataFormat,Fe(this.dataFormat),this.inputSpec=[new ye({ndim:4})]}computeOutputShape(t){return t=t,this.dataFormat===\"channelsLast\"?[t[0],t[3]]:[t[0],t[1]]}call(t,e){throw new St}getConfig(){let t={dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}},Bf=class extends bb{call(t,e){return B(()=>{let n=Nt(t);return this.dataFormat===\"channelsLast\"?ve(n,[1,2]):ve(n,[2,3])})}};Bf.className=\"GlobalAveragePooling2D\";Q.registerClass(Bf);var Vf=class extends bb{call(t,e){return B(()=>{let n=Nt(t);return this.dataFormat===\"channelsLast\"?Ir(n,[1,2]):Ir(n,[2,3])})}};Vf.className=\"GlobalMaxPooling2D\";Q.registerClass(Vf);var Cb=class extends $t{constructor(t){super(t),this.layer=t.layer}build(t){this.built=!0}get trainable(){return this.layer!=null?this.layer.trainable:!1}set trainable(t){this.layer!=null&&(this.layer.trainable=t)}get trainableWeights(){return this.layer.trainableWeights}get nonTrainableWeights(){return this.layer.nonTrainableWeights}get updates(){return this.layer._updates}get losses(){return this.layer.losses}getWeights(){return this.layer.getWeights()}setWeights(t){this.layer.setWeights(t)}getConfig(){let t={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},e=super.getConfig();return Object.assign(t,e),t}setFastWeightInitDuringBuild(t){super.setFastWeightInitDuringBuild(t),this.layer!=null&&this.layer.setFastWeightInitDuringBuild(t)}static fromConfig(t,e,n={}){let o=e.layer,s=gn(o,n);delete e.layer;let i={layer:s};return Object.assign(i,e),new t(i)}},Gf=class extends Cb{constructor(t){super(t),this.supportsMasking=!0}build(t){if(t=Bt(t),t.length<3)throw new M(`TimeDistributed layer expects an input shape >= 3D, but received input shape ${JSON.stringify(t)}`);this.inputSpec=[{shape:t}];let e=[t[0]].concat(t.slice(2));this.layer.built||(this.layer.build(e),this.layer.built=!0),super.build(t)}computeOutputShape(t){t=Bt(t);let e=[t[0]].concat(t.slice(2)),n=this.layer.computeOutputShape(e),o=t[1];return[n[0],o].concat(n.slice(1))}call(t,e){return B(()=>(t=Nt(t),Vv((i,a)=>[Nt(this.layer.call(i,e)),[]],t,[],!1,null,null,!1,!0)[1]))}};Gf.className=\"TimeDistributed\";Q.registerClass(Gf);function oY(r){Wi(T$,\"BidirectionalMergeMode\",r)}var sY=\"concat\",Wf=class extends Cb{constructor(t){super(t);let e=t.layer.getConfig(),n={};n.className=t.layer.getClassName(),n.config=e,this.forwardLayer=gn(n),e.goBackwards=e.goBackwards!==!0;let o={};if(o.className=t.layer.getClassName(),o.config=e,this.backwardLayer=gn(o),this.forwardLayer.name=\"forward_\"+this.forwardLayer.name,this.backwardLayer.name=\"backward_\"+this.backwardLayer.name,this.mergeMode=t.mergeMode===void 0?sY:t.mergeMode,oY(this.mergeMode),t.weights)throw new St(\"weights support is not implemented for Bidirectional layer yet.\");this._stateful=t.layer.stateful,this.returnSequences=t.layer.returnSequences,this.returnState=t.layer.returnState,this.supportsMasking=!0,this._trainable=!0,this.inputSpec=t.layer.inputSpec,this.numConstants=null}get trainable(){return this._trainable}set trainable(t){this._trainable=t,this.forwardLayer!=null&&(this.forwardLayer.trainable=t),this.backwardLayer!=null&&(this.backwardLayer.trainable=t)}getWeights(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())}setWeights(t){let e=t.length,n=Math.floor(e/2);this.forwardLayer.setWeights(t.slice(0,n)),this.backwardLayer.setWeights(t.slice(n))}computeOutputShape(t){let e=this.forwardLayer.computeOutputShape(t);Array.isArray(e)&&Array.isArray(e[0])||(e=[e]),e=e;let n,o,s;return this.returnState&&(s=e.slice(1)),n=e[0],n=n,this.mergeMode===\"concat\"?(n[n.length-1]*=2,o=[n]):this.mergeMode==null?o=[n,n.slice()]:o=[n],this.returnState?this.mergeMode==null?o.concat(s).concat(s.slice()):[n].concat(s).concat(s.slice()):Nr(o)}apply(t,e){let n=e==null?null:e.initialState,o=e==null?null:e.constants;e==null&&(e={});let s=Bv(t,n,o,this.numConstants);if(t=s.inputs,n=s.initialState,o=s.constants,Array.isArray(t)&&(n=t.slice(1),t=t[0]),(n==null||n.length===0)&&o==null)return super.apply(t,e);let i=[],a=[];if(n!=null){let l=n.length;if(l%2>0)throw new M(\"When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.\");e.initialState=n,i.push(...n);let c=n.map(p=>new ye({shape:p.shape}));this.forwardLayer.stateSpec=c.slice(0,l/2),this.backwardLayer.stateSpec=c.slice(l/2),a.push(...c)}if(o!=null)throw new St(\"Support for constants in Bidirectional layers is not implemented yet.\");let u=i[0]instanceof Jr;for(let l of i)if(l instanceof Jr!==u)throw new M(\"The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors\");if(u){let l=[t].concat(i),c=this.inputSpec.concat(a),p=this.inputSpec;this.inputSpec=c;let m=super.apply(l,e);return this.inputSpec=p,m}else return super.apply(t,e)}call(t,e){return B(()=>{let n=e.initialState,o,s;if(n==null)o=this.forwardLayer.call(t,e),s=this.backwardLayer.call(t,e);else{let u=n.slice(0,n.length/2),l=n.slice(n.length/2);o=this.forwardLayer.call(t,Object.assign(e,{initialState:u})),s=this.backwardLayer.call(t,Object.assign(e,{initialState:l}))}let i;this.returnState&&(Array.isArray(o)&&(i=o.slice(1).concat(s.slice(1))),o=o[0],s=s[0]),this.returnSequences&&(s=pr(s,1));let a;return this.mergeMode===\"concat\"?a=Nm([o,s]):this.mergeMode===\"sum\"?a=X(o,s):this.mergeMode===\"ave\"?a=D(.5,X(o,s)):this.mergeMode===\"mul\"?a=D(o,s):this.mergeMode==null&&(a=[o,s]),this.returnState?this.mergeMode==null?a.concat(i):[a].concat(i):a})}resetStates(t){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()}build(t){Hs(this.forwardLayer.name,()=>{this.forwardLayer.build(t)}),Hs(this.backwardLayer.name,()=>{this.backwardLayer.build(t)}),this.built=!0}computeMask(t,e){Array.isArray(e)&&(e=e[0]);let n;if(this.returnSequences?this.mergeMode==null?n=[e,e]:n=e:this.mergeMode==null?n=[null,null]:n=null,this.returnState){let s=this.forwardLayer.states.map(i=>null);return Array.isArray(n)?n.concat(s).concat(s):[n].concat(s).concat(s)}else return n}get trainableWeights(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)}get nonTrainableWeights(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)}setFastWeightInitDuringBuild(t){super.setFastWeightInitDuringBuild(t),this.forwardLayer!=null&&this.forwardLayer.setFastWeightInitDuringBuild(t),this.backwardLayer!=null&&this.backwardLayer.setFastWeightInitDuringBuild(t)}getConfig(){let t={mergeMode:this.mergeMode},e=super.getConfig();return Object.assign(t,e),t}static fromConfig(t,e){let n=gn(e.layer);if(delete e.layer,e.numConstants!=null)throw new St(\"Deserialization of a Bidirectional layer with numConstants present is not supported yet.\");let o=e;return o.layer=n,new t(o)}};Wf.className=\"Bidirectional\";Q.registerClass(Wf);var Uf=class extends $t{constructor(t){super(t),this.scale=t.scale,t.offset?this.offset=t.offset:this.offset=0}getConfig(){let t={scale:this.scale,offset:this.offset},e=super.getConfig();return Object.assign(t,e),t}call(t,e){return B(()=>(t=Nt(t),t.dtype!==\"float32\"&&(t=no(t,\"float32\")),X(D(t,this.scale),this.offset)))}};Uf.className=\"Rescaling\";Q.registerClass(Uf);var iY=[\"bilinear\",\"nearest\"],ID=new Set(iY),Hf=class extends $t{constructor(t){if(super(t),this.height=t.height,this.width=t.width,t.interpolation)if(ID.has(t.interpolation))this.interpolation=t.interpolation;else throw new M(`Invalid interpolation parameter: ${t.interpolation} is not implemented`);else this.interpolation=\"bilinear\";this.cropToAspectRatio=Boolean(t.cropToAspectRatio)}computeOutputShape(t){t=Bt(t);let e=t[2];return[this.height,this.width,e]}getConfig(){let t={height:this.height,width:this.width,interpolation:this.interpolation,cropToAspectRatio:this.cropToAspectRatio},e=super.getConfig();return Object.assign(t,e),t}call(t,e){return B(()=>{let n=[this.height,this.width];if(this.interpolation===\"bilinear\")return Gs.resizeBilinear(t,n,!this.cropToAspectRatio);if(this.interpolation===\"nearest\")return Gs.resizeNearestNeighbor(t,n,!this.cropToAspectRatio);throw new Error(`Interpolation is ${this.interpolation} but only ${[...ID]} are supported`)})}};Hf.className=\"Resizing\";Q.registerClass(Hf);function SD(r,t,e,n){let o=Nt(r);if(o.dtype!==\"int32\"&&(o=no(o,\"int32\")),t===\"int\")return o;let s=o.shape;if(o.rank===0&&(o=rr(o,-1)),t===\"oneHot\"&&o.shape[o.shape.length-1]!==1&&(o=rr(o,-1)),o.rank>2)throw new M(`When outputMode is not int, maximum output rank is 2 Received outputMode ${t} and input shape ${s} which would result in output rank ${o.rank}.`);let i=[\"multiHot\",\"oneHot\"].includes(t),a=o,u;if(typeof n!=\"undefined\"&&t===\"count\"?u=ch(a,n,e,i):u=ch(a,[],e,i),t!==\"tfIdf\")return u;if(n)return D(u,n);throw new M(\"When outputMode is 'tfIdf', weights must be provided.\")}var qf=class extends $t{constructor(t){super(t),this.numTokens=t.numTokens,t.outputMode?this.outputMode=t.outputMode:this.outputMode=\"multiHot\"}getConfig(){let t={numTokens:this.numTokens,outputMode:this.outputMode},e=super.getConfig();return Object.assign(t,e),t}computeOutputShape(t){return t=Bt(t),t==null?[this.numTokens]:this.outputMode===\"oneHot\"&&t[t.length-1]!==1?(t.push(this.numTokens),t):(t[t.length-1]=this.numTokens,t)}call(t,e){return B(()=>{t=Nt(t),t.dtype!==\"int32\"&&(t=no(t,\"int32\"));let n;if(typeof e.countWeights!=\"undefined\"){if(this.outputMode!==\"count\")throw new M(`countWeights is not used when outputMode !== count.\n Received countWeights=${e.countWeights}`);n=Nt(e.countWeights)}let o=Ir(t),s=Ja(t),i=Re(this.numTokens,o).bufferSync().get(0),a=ln(s,0).bufferSync().get(0);if(!(i&&a))throw new M(`Input values must be between 0 < values <= numTokens with numTokens=${this.numTokens}`);return SD(t,this.outputMode,this.numTokens,n)})}};qf.className=\"CategoryEncoding\";Q.registerClass(qf);function lY(r){return new Ks(r)}function uY(r){return new Ym(r)}function cY(r){return new Km(r)}function pY(r){return new jm(r)}function mY(r){return new Xm(r)}function fY(r){return new Jm(r)}function dY(r){return new Zm(r)}function hY(r){return new Su(r)}function gY(r){return new il(r)}function xY(r){return new Qm(r)}function yY(r){return new al(r)}function bY(r){return new tf(r)}function wY(r){return new ef(r)}function CY(r){return new rf(r)}function IY(r){return new nf(r)}function SY(r){return new of(r)}function vY(r){return new ff(r)}function NY(r){return new pf(r)}function TY(r){return new vc(r)}function kY(r){return new cf(r)}function EY(r){return new mf(r)}function _Y(r){return new df(r)}function AY(r){return new hf(r)}function $Y(r){return new gf(r)}function DY(r){return new yf(r)}function RY(r){return new bf(r)}function FY(r){return new Cf(r)}function OY(r){return new vf(r)}function PY(r){return new If(r)}function LY(r){return new Sf(r)}function MY(r){return new wf(r)}function zY(r){return new Nf(r)}function BY(r){return new _f(r)}function VY(r){return new Af(r)}function GY(r){return new $f(r)}function Gv(r){return new Rf(r)}function WY(r){return Gv(r)}function UY(r){return Gv(r)}function Wv(r){return new Of(r)}function HY(r){return Wv(r)}function qY(r){return Wv(r)}function Uv(r){return new Lf(r)}function KY(r){return Uv(r)}function jY(r){return Uv(r)}function XY(r){return new Mf(r)}function YY(r){return new Bf(r)}function vD(r){return new zf(r)}function ND(r){return new Vf(r)}function TD(r){return new Df(r)}function kD(r){return new Ff(r)}function ZY(r){return new Pf(r)}function JY(r){return new af(r)}function QY(r){return new Cc(r)}function tZ(r){return new lf(r)}function eZ(r){return new ul(r)}function rZ(r){return new sf(r)}function nZ(r){return new wc(r)}function oZ(r){return new uf(r)}function sZ(r){return new Sc(r)}function iZ(r){return new Tn(r)}function aZ(r){return new Ic(r)}function lZ(r){return new Wf(r)}function uZ(r){return new Gf(r)}var cZ=vD,pZ=ND,mZ=TD,fZ=kD;function dZ(r){return new Tf(r)}function hZ(r){return new kf(r)}function gZ(r){return new Ef(r)}function xZ(r){return new xf(r)}function yZ(r){return new Uf(r)}function bZ(r){return new Hf(r)}function wZ(r){return new qf(r)}var _D={};Wt(_D,{MAPE:()=>$Z,MSE:()=>FZ,binaryAccuracy:()=>CZ,binaryCrossentropy:()=>IZ,categoricalAccuracy:()=>vZ,categoricalCrossentropy:()=>NZ,cosineProximity:()=>EZ,mape:()=>DZ,meanAbsoluteError:()=>_Z,meanAbsolutePercentageError:()=>AZ,meanSquaredError:()=>RZ,mse:()=>OZ,precision:()=>TZ,recall:()=>kZ,sparseCategoricalAccuracy:()=>SZ});function CZ(r,t){return Th(r,t)}function IZ(r,t){return Wy(r,t)}function SZ(r,t){return Uy(r,t)}function vZ(r,t){return kh(r,t)}function NZ(r,t){return Eh(r,t)}function TZ(r,t){return Av(r,t)}function kZ(r,t){return J$(r,t)}function EZ(r,t){return Nh(r,t)}function _Z(r,t){return Vm(r,t)}function AZ(r,t){return bu(r,t)}function $Z(r,t){return bu(r,t)}function DZ(r,t){return bu(r,t)}function RZ(r,t){return Hi(r,t)}function FZ(r,t){return Hi(r,t)}function OZ(r,t){return Hi(r,t)}var AD={};Wt(AD,{modelFromJSON:()=>dD});var $D={};Wt($D,{l1:()=>LZ,l1l2:()=>PZ,l2:()=>MZ});function PZ(r){return new wu(r)}function LZ(r){return yD(r)}function MZ(r){return bD(r)}var Sb=class extends sl{constructor(){super(...arguments),this.model=null}setModel(t){if(!(t instanceof Bn))throw new Error(\"model must be a LayersModel, not some other Container\");this.model=t}};function Ib(r,t){return rt}var vb=class extends Sb{constructor(t){if(super(),t==null&&(t={}),t.restoreBestWeights)throw new St(\"restoreBestWeights = True is not implemented in EarlyStopping yet.\");this.monitor=t.monitor||\"val_loss\",this.minDelta=Math.abs(t.minDelta||0),this.patience=t.patience||0,this.verbose=t.verbose||0,this.mode=t.mode||\"auto\",this.baseline=t.baseline,[\"auto\",\"min\",\"max\"].indexOf(this.mode)===-1&&(console.warn(`EarlyStopping mode '${this.mode}' is invalid. Falling back to mode 'auto'.`),this.mode=\"auto\"),this.mode===\"min\"?this.monitorFunc=Ib:this.mode===\"max\"?this.monitorFunc=DD:this.monitor.indexOf(\"acc\")!==-1?this.monitorFunc=DD:this.monitorFunc=Ib,this.monitorFunc===Ib&&(this.minDelta*=-1)}async onTrainBegin(t){this.wait=0,this.stoppedEpoch=0,this.baseline!=null?this.best=this.baseline:this.best=this.monitorFunc===Ib?1/0:-1/0}async onEpochEnd(t,e){await Ui(e);let n=this.getMonitorValue(e);n!=null&&(this.monitorFunc(n-this.minDelta,this.best)?(this.best=n,this.wait=0):(this.wait++,this.wait>=this.patience&&(this.stoppedEpoch=t,this.model.stopTraining=!0)))}async onTrainEnd(t){this.stoppedEpoch>0&&this.verbose&&console.log(`Epoch ${this.stoppedEpoch}: early stopping.`)}getMonitorValue(t){t==null&&(t={});let e=t[this.monitor];return e==null&&console.warn(`Metric for EarlyStopping ${this.monitor} is not available. Available metrics are: ${Object.keys(t)}`),e}};function zZ(r){return new vb(r)}var BZ={earlyStopping:zZ};var VZ=z();VZ.registerFlag(\"KEEP_INTERMEDIATE_TENSORS\",()=>!1,r=>{r&&console.warn(\"Keep intermediate tensors is ON. This will print the values of all intermediate tensors during model inference. Not all models support this mode. For details, check e2e/benchmarks/ model_config.js. This significantly impacts performance.\")});var oo;(function(r){r[r.DT_INVALID=0]=\"DT_INVALID\",r[r.DT_FLOAT=1]=\"DT_FLOAT\",r[r.DT_DOUBLE=2]=\"DT_DOUBLE\",r[r.DT_INT32=3]=\"DT_INT32\",r[r.DT_UINT8=4]=\"DT_UINT8\",r[r.DT_INT16=5]=\"DT_INT16\",r[r.DT_INT8=6]=\"DT_INT8\",r[r.DT_STRING=7]=\"DT_STRING\",r[r.DT_COMPLEX64=8]=\"DT_COMPLEX64\",r[r.DT_INT64=9]=\"DT_INT64\",r[r.DT_BOOL=10]=\"DT_BOOL\",r[r.DT_QINT8=11]=\"DT_QINT8\",r[r.DT_QUINT8=12]=\"DT_QUINT8\",r[r.DT_QINT32=13]=\"DT_QINT32\",r[r.DT_BFLOAT16=14]=\"DT_BFLOAT16\",r[r.DT_QINT16=15]=\"DT_QINT16\",r[r.DT_QUINT16=16]=\"DT_QUINT16\",r[r.DT_UINT16=17]=\"DT_UINT16\",r[r.DT_COMPLEX128=18]=\"DT_COMPLEX128\",r[r.DT_HALF=19]=\"DT_HALF\",r[r.DT_RESOURCE=20]=\"DT_RESOURCE\",r[r.DT_VARIANT=21]=\"DT_VARIANT\",r[r.DT_UINT32=22]=\"DT_UINT32\",r[r.DT_UINT64=23]=\"DT_UINT64\",r[r.DT_FLOAT_REF=101]=\"DT_FLOAT_REF\",r[r.DT_DOUBLE_REF=102]=\"DT_DOUBLE_REF\",r[r.DT_INT32_REF=103]=\"DT_INT32_REF\",r[r.DT_UINT8_REF=104]=\"DT_UINT8_REF\",r[r.DT_INT16_REF=105]=\"DT_INT16_REF\",r[r.DT_INT8_REF=106]=\"DT_INT8_REF\",r[r.DT_STRING_REF=107]=\"DT_STRING_REF\",r[r.DT_COMPLEX64_REF=108]=\"DT_COMPLEX64_REF\",r[r.DT_INT64_REF=109]=\"DT_INT64_REF\",r[r.DT_BOOL_REF=110]=\"DT_BOOL_REF\",r[r.DT_QINT8_REF=111]=\"DT_QINT8_REF\",r[r.DT_QUINT8_REF=112]=\"DT_QUINT8_REF\",r[r.DT_QINT32_REF=113]=\"DT_QINT32_REF\",r[r.DT_BFLOAT16_REF=114]=\"DT_BFLOAT16_REF\",r[r.DT_QINT16_REF=115]=\"DT_QINT16_REF\",r[r.DT_QUINT16_REF=116]=\"DT_QUINT16_REF\",r[r.DT_UINT16_REF=117]=\"DT_UINT16_REF\",r[r.DT_COMPLEX128_REF=118]=\"DT_COMPLEX128_REF\",r[r.DT_HALF_REF=119]=\"DT_HALF_REF\",r[r.DT_RESOURCE_REF=120]=\"DT_RESOURCE_REF\",r[r.DT_VARIANT_REF=121]=\"DT_VARIANT_REF\",r[r.DT_UINT32_REF=122]=\"DT_UINT32_REF\",r[r.DT_UINT64_REF=123]=\"DT_UINT64_REF\"})(oo||(oo={}));var RD;(function(r){let t;(function(e){e[e.LEGACY=0]=\"LEGACY\",e[e.V1=1]=\"V1\",e[e.V2=2]=\"V2\"})(t=r.CheckpointFormatVersion||(r.CheckpointFormatVersion={}))})(RD||(RD={}));var Hv={};function WZ(r,t){let e={tfOpName:r,category:\"custom\",inputs:[],attrs:[],customExecutor:t};Hv[r]=e}function Nb(r){return Hv[r]}function UZ(r){delete Hv[r]}function S(r,t,e,n,o){let s=t.inputParams[r];if(s&&s.inputIndexStart!==void 0){let a=s.inputIndexStart,u=s.inputIndexEnd===0?void 0:s.inputIndexEnd===void 0?a+1:s.inputIndexEnd;if(s.type===\"tensor\")return br(t.inputNames[s.inputIndexStart],e,n,o);if(s.type===\"tensors\")return t.inputNames.slice(a,u).map(m=>br(m,e,n,o));let l=br(t.inputNames.slice(a)[0],e,n,o),c=l.dataSync();return s.type===\"number\"?c[0]:y.toNestedArray(l.shape,c)}let i=t.attrParams[r];return i&&i.value}function br(r,t,e,n){let[o,s]=xn(r);if(n!=null){let a=n.getHashTableHandleByName(o);if(a!=null)return a}let i=e.currentContextIds.find(a=>!!t[Tb(o,a)]);return i!==void 0?t[Tb(o,i)][s]:void 0}function FD(r,t,e){return t[Tb(r,e.currentContextId)]}function _o(r,t){let[e,n,o]=xn(r);return[Tb(e,t&&t.currentContextId),n,o]}function Tb(r,t){return t?`${r}-${t}`:r}function xn(r){let t=r.split(\":\");if(t.length===1)return[r,0,void 0];let e=t[0],n=t.length===3?t[1]:void 0,o=Number(t[t.length-1]);return[e,o,n]}function Rh(r,t,e){let n=S(\"pad\",r,t,e);if(n===\"explicit\"){n=S(\"explicitPaddings\",r,t,e);let o=[[0,0],[0,0],[0,0],[0,0]];for(let s=0;s<4;s++)o[s][0]=n[s*2],o[s][1]=n[s*2+1];return o}return n}function Zs(r){return r.kept?r:sn(r)}var qv={};Wt(qv,{json:()=>HZ});var HZ=[{tfOpName:\"Add\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"AddV2\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"AddN\",category:\"arithmetic\",inputs:[{start:0,end:0,name:\"tensors\",type:\"tensors\"}]},{tfOpName:\"BiasAdd\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0}]},{tfOpName:\"Sub\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"RealDiv\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Div\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"DivNoNan\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"FloorDiv\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Mul\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Maximum\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Minimum\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Pow\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"SquaredDifference\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Mod\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"FloorMod\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]}];var Kv={};Wt(Kv,{json:()=>qZ});var qZ=[{tfOpName:\"Abs\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Acos\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Asin\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Atan\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Atan2\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"y\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Ceil\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"ClipByValue\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"clipValueMin\",type:\"number\"},{start:2,name:\"clipValueMax\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Complex\",category:\"basic_math\",inputs:[{start:0,name:\"real\",type:\"tensor\"},{start:1,name:\"imag\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"ComplexAbs\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Cos\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Cosh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Elu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Exp\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Floor\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Log\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Imag\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"outputType\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Neg\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Real\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"outputType\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Prelu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"alpha\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Relu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Relu6\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Selu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sigmoid\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sin\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sinh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sqrt\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Rsqrt\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Square\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Tan\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Tanh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sign\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Round\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Expm1\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Log1p\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Reciprocal\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Softplus\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Asinh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Acosh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Atanh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Erf\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Prod\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axes\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\",notSupported:!0},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LeakyRelu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"alpha\",name:\"alpha\",type:\"number\",defaultValue:.2},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"IsNan\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]}];var jv={};Wt(jv,{json:()=>KZ});var KZ=[{tfOpName:\"EmptyTensorList\",category:\"control\",inputs:[{start:0,name:\"elementShape\",type:\"shape\"},{start:1,name:\"maxNumElements\",type:\"number\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"LoopCond\",category:\"control\",inputs:[{start:0,name:\"pred\",type:\"tensor\"}]},{tfOpName:\"Switch\",category:\"control\",inputs:[{start:0,name:\"data\",type:\"tensor\"},{start:1,name:\"pred\",type:\"tensor\"}]},{tfOpName:\"Merge\",category:\"control\",inputs:[{start:0,end:0,name:\"tensors\",type:\"tensors\"}]},{tfOpName:\"Enter\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"frame_name\",name:\"frameName\",type:\"string\"},{tfName:\"is_constant\",name:\"isConstant\",type:\"bool\"}]},{tfOpName:\"Exit\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"NextIteration\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"TensorArrayV3\",category:\"control\",inputs:[{start:0,name:\"size\",type:\"number\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"element_shape\",name:\"elementShape\",type:\"shape\"},{tfName:\"dynamic_size\",name:\"dynamicSize\",type:\"bool\"},{tfName:\"clear_after_read\",name:\"clearAfterRead\",type:\"bool\"},{tfName:\"identical_element_shapes\",name:\"identicalElementShapes\",type:\"bool\"},{tfName:\"tensor_array_name\",name:\"name\",type:\"string\"}]},{tfOpName:\"TensorArrayWriteV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"index\",type:\"number\"},{start:2,name:\"tensor\",type:\"tensor\"},{start:3,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"TensorArrayReadV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"index\",type:\"number\"},{start:2,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"TensorArrayGatherV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"element_shape\",name:\"elementShape\",type:\"shape\"}]},{tfOpName:\"TensorArrayScatterV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"tensor\",type:\"tensor\"},{start:3,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"TensorArrayConcatV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"element_shape_except0\",name:\"elementShapeExcept0\",type:\"shape\",notSupported:!0}]},{tfOpName:\"TensorArraySplitV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"tensor\",type:\"tensor\"},{start:2,name:\"lengths\",type:\"number[]\"},{start:3,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"TensorArraySizeV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"flowIn\",type:\"number\"}]},{tfOpName:\"TensorArrayCloseV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"}]},{tfOpName:\"StatelessIf\",category:\"control\",inputs:[{start:0,name:\"cond\",type:\"tensor\"},{start:1,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"then_branch\",name:\"thenBranch\",type:\"func\"},{tfName:\"else_branch\",name:\"elseBranch\",type:\"func\"}]},{tfOpName:\"If\",category:\"control\",inputs:[{start:0,name:\"cond\",type:\"tensor\"},{start:1,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"then_branch\",name:\"thenBranch\",type:\"func\"},{tfName:\"else_branch\",name:\"elseBranch\",type:\"func\"}]},{tfOpName:\"StatelessWhile\",category:\"control\",inputs:[{start:0,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"cond\",name:\"cond\",type:\"func\"},{tfName:\"body\",name:\"body\",type:\"func\"}]},{tfOpName:\"While\",category:\"control\",inputs:[{start:0,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"cond\",name:\"cond\",type:\"func\"},{tfName:\"body\",name:\"body\",type:\"func\"}]},{tfOpName:\"TensorListScatter\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListScatterV2\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"elementShape\",type:\"shape\"},{start:3,name:\"numElements\",type:\"number\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListGather\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListGetItem\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"index\",type:\"number\"},{start:2,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListSetItem\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"index\",type:\"number\"},{start:2,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListReserve\",category:\"control\",inputs:[{start:0,name:\"elementShape\",type:\"shape\"},{start:1,name:\"numElements\",type:\"number\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListFromTensor\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"},{start:1,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListStack\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"},{tfName:\"num_elements\",name:\"numElements\",type:\"dtype\"}]},{tfOpName:\"TensorListSplit\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"},{start:1,name:\"elementShape\",type:\"shape\"},{start:2,name:\"lengths\",type:\"number[]\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListConcat\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"}],attrs:[{tfName:\"element_shape\",name:\"elementShape\",type:\"shape\"},{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListConcatV2\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"}],attrs:[{tfName:\"element_shape\",name:\"elementShape\",type:\"shape\"},{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListPopBack\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListPushBack\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListLength\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"}]},{tfOpName:\"TensorListResize\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"size\",type:\"number\"}]}];var Xv={};Wt(Xv,{json:()=>jZ});var jZ=[{tfOpName:\"AvgPool\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"MaxPool\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[],notSupported:!0},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"MaxPoolWithArgmax\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"include_batch_in_index\",name:\"includeBatchInIndex\",type:\"bool\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"AvgPool3D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"MaxPool3D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Conv1D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"stride\",name:\"stride\",type:\"number\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NWC\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"dilation\",name:\"dilation\",type:\"number\",defaultValue:1}]},{tfOpName:\"Conv2D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"useCudnnOnGpu\",name:\"useCudnnOnGpu\",type:\"bool\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\"}]},{tfOpName:\"_FusedConv2D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"},{start:2,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"num_args\",name:\"numArgs\",type:\"number\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"use_cudnn_on_gpu\",name:\"useCudnnOnGpu\",type:\"bool\",defaultValue:!0},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\",defaultValue:[1,1,1,1]},{tfName:\"fused_ops\",name:\"fusedOps\",type:\"string[]\",defaultValue:[]},{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:1e-4},{tfName:\"leakyrelu_alpha\",name:\"leakyreluAlpha\",type:\"number\",defaultValue:.2}]},{tfOpName:\"Conv2DBackpropInput\",category:\"convolution\",inputs:[{start:2,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"},{start:0,name:\"outputShape\",type:\"number[]\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\",notSupported:!0}]},{tfOpName:\"DepthwiseConv2d\",category:\"convolution\",inputs:[{start:0,name:\"input\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\"}]},{tfOpName:\"DepthwiseConv2dNative\",category:\"convolution\",inputs:[{start:0,name:\"input\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\"}]},{tfOpName:\"FusedDepthwiseConv2dNative\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"},{start:2,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"num_args\",name:\"numArgs\",type:\"number\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\",defaultValue:[1,1,1,1]},{tfName:\"fused_ops\",name:\"fusedOps\",type:\"string[]\",defaultValue:[]},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]}]},{tfOpName:\"Conv3D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\"}]},{tfOpName:\"Dilation2D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"rates\",name:\"dilations\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"}]}];var Yv={};Wt(Yv,{json:()=>XZ});var XZ=[{tfOpName:\"Fill\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"},{start:1,name:\"value\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"LinSpace\",category:\"creation\",inputs:[{start:0,name:\"start\",type:\"number\"},{start:1,name:\"stop\",type:\"number\"},{start:2,name:\"num\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"OneHot\",category:\"creation\",inputs:[{start:0,name:\"indices\",type:\"tensor\"},{start:1,name:\"depth\",type:\"number\"},{start:2,name:\"onValue\",type:\"number\",defaultValue:1},{start:3,name:\"offValue\",type:\"number\",defaultValue:0}],attrs:[{tfName:\"axis\",name:\"axis\",type:\"number\",notSupported:!0},{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"Ones\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"OnesLike\",category:\"creation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"RandomStandardNormal\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"seed\",name:\"seed\",type:\"number\",defaultValue:0},{tfName:\"seed2\",name:\"seed2\",type:\"number\",defaultValue:0,notSupported:!0},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"T\",name:\"T\",type:\"number\",notSupported:!0}]},{tfOpName:\"RandomUniform\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"minval\",name:\"minval\",type:\"number\",defaultValue:0},{tfName:\"maxval\",name:\"maxval\",type:\"number\",defaultValue:1},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"seed\",name:\"seed\",type:\"number\",defaultValue:0},{tfName:\"seed2\",name:\"seed2\",type:\"number\",defaultValue:0,notSupported:!0},{tfName:\"T\",name:\"T\",type:\"number\",notSupported:!0}]},{tfOpName:\"Range\",category:\"creation\",inputs:[{start:0,name:\"start\",type:\"number\"},{start:1,name:\"stop\",type:\"number\"},{start:2,name:\"step\",type:\"number\",defaultValue:0}],attrs:[{tfName:\"Tidx\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"TruncatedNormal\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"means\",name:\"mean\",type:\"number\",defaultValue:0},{tfName:\"stddev\",name:\"stdDev\",type:\"number\",defaultValue:1},{tfName:\"seed\",name:\"seed\",type:\"number\"},{tfName:\"seed2\",name:\"seed2\",type:\"number\",defaultValue:0,notSupported:!0},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"T\",name:\"T\",type:\"number\",notSupported:!0}]},{tfOpName:\"Zeros\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"ZerosLike\",category:\"creation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"Multinomial\",category:\"creation\",inputs:[{start:0,name:\"logits\",type:\"tensor\"},{start:1,name:\"numSamples\",type:\"number\"}],attrs:[{tfName:\"seed\",name:\"seed\",type:\"number\"},{tfName:\"seed2\",name:\"seed2\",type:\"number\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\"},{tfName:\"output_dtype\",name:\"output_dtype\",type:\"dtype\"}]}];var Zv={};Wt(Zv,{json:()=>YZ});var YZ=[{tfOpName:\"NonMaxSuppressionV2\",category:\"dynamic\",inputs:[{start:0,name:\"boxes\",type:\"tensor\"},{start:1,name:\"scores\",type:\"tensor\"},{start:2,name:\"maxOutputSize\",type:\"number\"},{start:3,name:\"iouThreshold\",type:\"number\"}]},{tfOpName:\"NonMaxSuppressionV3\",category:\"dynamic\",inputs:[{start:0,name:\"boxes\",type:\"tensor\"},{start:1,name:\"scores\",type:\"tensor\"},{start:2,name:\"maxOutputSize\",type:\"number\"},{start:3,name:\"iouThreshold\",type:\"number\"},{start:4,name:\"scoreThreshold\",type:\"number\"}]},{tfOpName:\"NonMaxSuppressionV4\",category:\"dynamic\",inputs:[{start:0,name:\"boxes\",type:\"tensor\"},{start:1,name:\"scores\",type:\"tensor\"},{start:2,name:\"maxOutputSize\",type:\"number\"},{start:3,name:\"iouThreshold\",type:\"number\"},{start:4,name:\"scoreThreshold\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"T_threshold\",name:\"threshold\",type:\"dtype\",notSupported:!0},{tfName:\"pad_to_max_output_size\",name:\"padToMaxOutputSize\",type:\"bool\"}]},{tfOpName:\"NonMaxSuppressionV5\",category:\"dynamic\",inputs:[{start:0,name:\"boxes\",type:\"tensor\"},{start:1,name:\"scores\",type:\"tensor\"},{start:2,name:\"maxOutputSize\",type:\"number\"},{start:3,name:\"iouThreshold\",type:\"number\"},{start:4,name:\"scoreThreshold\",type:\"number\"},{start:5,name:\"softNmsSigma\",type:\"number\"}]},{tfOpName:\"Where\",category:\"dynamic\",inputs:[{start:0,name:\"condition\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"ListDiff\",category:\"dynamic\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"y\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]}];var Jv={};Wt(Jv,{json:()=>ZZ});var ZZ=[{tfOpName:\"LowerBound\",category:\"evaluation\",inputs:[{start:0,name:\"sortedSequence\",type:\"tensor\"},{start:1,name:\"values\",type:\"tensor\"}]},{tfOpName:\"TopKV2\",category:\"evaluation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"k\",type:\"number\"}],attrs:[{tfName:\"sorted\",name:\"sorted\",type:\"bool\"}]},{tfOpName:\"UpperBound\",category:\"evaluation\",inputs:[{start:0,name:\"sortedSequence\",type:\"tensor\"},{start:1,name:\"values\",type:\"tensor\"}]},{tfOpName:\"Unique\",category:\"evaluation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"UniqueV2\",category:\"evaluation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}]}];var Qv={};Wt(Qv,{json:()=>JZ});var JZ=[{tfOpName:\"PlaceholderWithDefault\",category:\"graph\",inputs:[{start:0,name:\"default\",type:\"tensor\"}],attrs:[{tfName:\"shape\",name:\"shape\",type:\"shape\"},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"Placeholder\",category:\"graph\",attrs:[{tfName:\"shape\",name:\"shape\",type:\"shape\"},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"Const\",category:\"graph\"},{tfOpName:\"Identity\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"IdentityN\",category:\"graph\",inputs:[{start:0,end:0,name:\"x\",type:\"tensors\"}]},{tfOpName:\"Snapshot\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"Rank\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"Size\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"Shape\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"ShapeN\",category:\"graph\",inputs:[{start:0,end:0,name:\"x\",type:\"tensors\"}]},{tfOpName:\"Print\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"data\",type:\"tensors\"}],attrs:[{tfName:\"message\",name:\"message\",type:\"string\"},{tfName:\"first_n\",name:\"firstN\",type:\"number\",notSupported:!0},{tfName:\"summarize\",name:\"summarize\",type:\"number\",defaultValue:3}]},{tfOpName:\"NoOp\",category:\"graph\",inputs:[]},{tfOpName:\"StopGradient\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"FakeQuantWithMinMaxVars\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"min\",name:\"min\",type:\"number\"},{tfName:\"max\",name:\"max\",type:\"number\"}]}];var tN={};Wt(tN,{json:()=>QZ});var QZ=[{tfOpName:\"HashTable\",category:\"hash_table\",inputs:[],attrs:[{tfName:\"shared_name\",name:\"sharedName\",type:\"string\"},{tfName:\"use_node_name_sharing\",name:\"useNodeNameSharing\",type:\"bool\"},{tfName:\"key_dtype\",name:\"keyDType\",type:\"dtype\"},{tfName:\"value_dtype\",name:\"valueDType\",type:\"dtype\"}]},{tfOpName:\"HashTableV2\",category:\"hash_table\",inputs:[],attrs:[{tfName:\"shared_name\",name:\"sharedName\",type:\"string\"},{tfName:\"use_node_name_sharing\",name:\"useNodeNameSharing\",type:\"bool\"},{tfName:\"key_dtype\",name:\"keyDType\",type:\"dtype\"},{tfName:\"value_dtype\",name:\"valueDType\",type:\"dtype\"}]},{tfOpName:\"LookupTableImport\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"values\",type:\"tensor\"}],attrs:[{tfName:\"Tin\",name:\"tIn\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"tOut\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LookupTableImportV2\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"values\",type:\"tensor\"}],attrs:[{tfName:\"Tin\",name:\"tIn\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"tOut\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LookupTableFind\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"defaultValue\",type:\"tensor\"}],attrs:[{tfName:\"Tin\",name:\"tIn\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"tOut\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LookupTableFindV2\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"defaultValue\",type:\"tensor\"}],attrs:[{tfName:\"Tin\",name:\"tIn\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"tOut\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LookupTableSize\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"}]},{tfOpName:\"LookupTableSizeV2\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"}]}];var eN={};Wt(eN,{json:()=>t7});var t7=[{tfOpName:\"ResizeBilinear\",category:\"image\",inputs:[{start:0,name:\"images\",type:\"tensor\"},{start:1,name:\"size\",type:\"number[]\"}],attrs:[{tfName:\"align_corners\",name:\"alignCorners\",type:\"bool\"},{tfName:\"half_pixel_centers\",name:\"halfPixelCenters\",type:\"bool\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"ResizeNearestNeighbor\",category:\"image\",inputs:[{start:0,name:\"images\",type:\"tensor\"},{start:1,name:\"size\",type:\"number[]\"}],attrs:[{tfName:\"align_corners\",name:\"alignCorners\",type:\"bool\"},{tfName:\"half_pixel_centers\",name:\"halfPixelCenters\",type:\"bool\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"CropAndResize\",category:\"image\",inputs:[{start:0,name:\"image\",type:\"tensor\"},{start:1,name:\"boxes\",type:\"tensor\"},{start:2,name:\"boxInd\",type:\"tensor\"},{start:3,name:\"cropSize\",type:\"number[]\"}],attrs:[{tfName:\"method\",name:\"method\",type:\"string\"},{tfName:\"extrapolation_value\",name:\"extrapolationValue\",type:\"number\"}]},{tfOpName:\"ImageProjectiveTransformV3\",category:\"image\",inputs:[{start:0,name:\"images\",type:\"tensor\"},{start:1,name:\"transforms\",type:\"tensor\"},{start:2,name:\"outputShape\",type:\"number[]\"},{start:3,name:\"fillValue\",type:\"number\"}],attrs:[{tfName:\"interpolation\",name:\"interpolation\",type:\"string\"},{tfName:\"fill_mode\",name:\"fillMode\",type:\"string\"}]}];var rN={};Wt(rN,{json:()=>e7});var e7=[{tfOpName:\"Equal\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"NotEqual\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Greater\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"GreaterEqual\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Less\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LessEqual\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LogicalAnd\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LogicalNot\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LogicalOr\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Select\",category:\"logical\",inputs:[{start:0,name:\"condition\",type:\"tensor\"},{start:1,name:\"a\",type:\"tensor\"},{start:2,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"SelectV2\",category:\"logical\",inputs:[{start:0,name:\"condition\",type:\"tensor\"},{start:1,name:\"a\",type:\"tensor\"},{start:2,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]}];var nN={};Wt(nN,{json:()=>r7});var r7=[{tfOpName:\"_FusedMatMul\",category:\"matrices\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"},{start:2,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"num_args\",name:\"numArgs\",type:\"number\"},{tfName:\"fused_ops\",name:\"fusedOps\",type:\"string[]\",defaultValue:[]},{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:1e-4},{tfName:\"transpose_a\",name:\"transposeA\",type:\"bool\",defaultValue:!1},{tfName:\"transpose_b\",name:\"transposeB\",type:\"bool\",defaultValue:!1},{tfName:\"leakyrelu_alpha\",name:\"leakyreluAlpha\",type:\"number\",defaultValue:.2},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"MatMul\",category:\"matrices\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"transpose_a\",name:\"transposeA\",type:\"bool\",defaultValue:!1},{tfName:\"transpose_b\",name:\"transposeB\",type:\"bool\",defaultValue:!1},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"BatchMatMul\",category:\"matrices\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"adj_x\",name:\"transposeA\",type:\"bool\",defaultValue:!1},{tfName:\"adj_y\",name:\"transposeB\",type:\"bool\",defaultValue:!1},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"BatchMatMulV2\",category:\"matrices\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"adj_x\",name:\"transposeA\",type:\"bool\",defaultValue:!1},{tfName:\"adj_y\",name:\"transposeB\",type:\"bool\",defaultValue:!1},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Transpose\",category:\"matrices\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"perm\",type:\"number[]\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Einsum\",category:\"matrices\",inputs:[{start:0,end:0,name:\"tensors\",type:\"tensors\"}],attrs:[{tfName:\"equation\",name:\"equation\",type:\"string\"},{tfName:\"N\",name:\"n\",type:\"number\",defaultValue:2},{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]}];var oN={};Wt(oN,{json:()=>n7});var n7=[{tfOpName:\"EuclideanNorm\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\",defaultValue:!1}]},{tfOpName:\"FusedBatchNorm\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"scale\",type:\"tensor\"},{start:2,name:\"offset\",type:\"tensor\"},{start:3,name:\"mean\",type:\"tensor\"},{start:4,name:\"variance\",type:\"tensor\"}],attrs:[{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:.001},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0}]},{tfOpName:\"FusedBatchNormV2\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"scale\",type:\"tensor\"},{start:2,name:\"offset\",type:\"tensor\"},{start:3,name:\"mean\",type:\"tensor\"},{start:4,name:\"variance\",type:\"tensor\"}],attrs:[{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:.001},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0}]},{tfOpName:\"FusedBatchNormV3\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"scale\",type:\"tensor\"},{start:2,name:\"offset\",type:\"tensor\"},{start:3,name:\"mean\",type:\"tensor\"},{start:4,name:\"variance\",type:\"tensor\"}],attrs:[{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:.001},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0}]},{tfOpName:\"LRN\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"depth_radius\",name:\"radius\",type:\"number\",defaultValue:5},{tfName:\"bias\",name:\"bias\",type:\"number\",defaultValue:1},{tfName:\"alpha\",name:\"alpha\",type:\"number\",defaultValue:1},{tfName:\"beta\",name:\"beta\",type:\"number\",defaultValue:.5}]},{tfOpName:\"Softmax\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"LogSoftmax\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"SparseToDense\",category:\"normalization\",inputs:[{start:0,name:\"sparseIndices\",type:\"tensor\"},{start:1,name:\"outputShape\",type:\"number[]\"},{start:2,name:\"sparseValues\",type:\"tensor\"},{start:3,name:\"defaultValue\",type:\"tensor\"}],attrs:[{tfName:\"validate_indices\",name:\"validateIndices\",type:\"bool\",defaultValue:!0,notSupported:!0}]}];var sN={};Wt(sN,{json:()=>o7});var o7=[{tfOpName:\"Bincount\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"size\",type:\"number\"},{start:2,name:\"weights\",type:\"tensor\"}]},{tfOpName:\"DenseBincount\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"size\",type:\"number\"},{start:2,name:\"weights\",type:\"tensor\"}],attrs:[{tfName:\"binary_output\",name:\"binaryOutput\",type:\"bool\"}]},{tfOpName:\"Max\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"Mean\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"Min\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"Sum\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"All\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"Any\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"ArgMax\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}]},{tfOpName:\"ArgMin\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}]},{tfOpName:\"Prod\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"Cumprod\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}],attrs:[{tfName:\"exclusive\",name:\"exclusive\",type:\"bool\"},{tfName:\"reverse\",name:\"reverse\",type:\"bool\"}]},{tfOpName:\"Cumsum\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}],attrs:[{tfName:\"exclusive\",name:\"exclusive\",type:\"bool\"},{tfName:\"reverse\",name:\"reverse\",type:\"bool\"}]}];var iN={};Wt(iN,{json:()=>s7});var s7=[{tfOpName:\"ConcatV2\",category:\"slice_join\",inputs:[{start:0,end:-1,name:\"tensors\",type:\"tensors\"},{start:-1,name:\"axis\",type:\"number\"}],attrs:[{tfName:\"N\",name:\"n\",type:\"number\",defaultValue:2}]},{tfOpName:\"Concat\",category:\"slice_join\",inputs:[{start:1,end:0,name:\"tensors\",type:\"tensors\"},{start:0,name:\"axis\",type:\"number\"}],attrs:[{tfName:\"N\",name:\"n\",type:\"number\",defaultValue:2}]},{tfOpName:\"GatherV2\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"},{start:2,name:\"axis\",type:\"number\",defaultValue:0}],attrs:[{tfName:\"batch_dims\",name:\"batchDims\",type:\"number\",defaultValue:0}]},{tfOpName:\"Gather\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"}],attrs:[{tfName:\"validate_indices\",name:\"validateIndices\",type:\"bool\",notSupported:!0}]},{tfOpName:\"Reverse\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"dims\",type:\"bool[]\"}]},{tfOpName:\"ReverseV2\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}]},{tfOpName:\"Slice\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"begin\",type:\"number[]\"},{start:2,name:\"size\",type:\"number[]\"}]},{tfOpName:\"StridedSlice\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"begin\",type:\"number[]\"},{start:2,name:\"end\",type:\"number[]\"},{start:3,name:\"strides\",type:\"number[]\"}],attrs:[{tfName:\"begin_mask\",name:\"beginMask\",type:\"number\",defaultValue:0},{tfName:\"end_mask\",name:\"endMask\",type:\"number\",defaultValue:0},{tfName:\"new_axis_mask\",name:\"newAxisMask\",type:\"number\",defaultValue:0},{tfName:\"ellipsis_mask\",name:\"ellipsisMask\",type:\"number\",defaultValue:0},{tfName:\"shrink_axis_mask\",name:\"shrinkAxisMask\",type:\"number\",defaultValue:0}]},{tfOpName:\"Pack\",category:\"slice_join\",inputs:[{start:0,end:0,name:\"tensors\",type:\"tensors\"}],attrs:[{tfName:\"axis\",name:\"axis\",type:\"number\",defaultValue:0}]},{tfOpName:\"Unpack\",category:\"slice_join\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"axis\",name:\"axis\",type:\"number\",defaultValue:0},{tfName:\"num\",name:\"num\",type:\"number\",defaultValue:0,notSupported:!0}]},{tfOpName:\"Tile\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"reps\",type:\"number[]\"}]},{tfOpName:\"Split\",category:\"slice_join\",inputs:[{start:0,name:\"axis\",type:\"number\",defaultValue:0},{start:1,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"num_split\",name:\"numOrSizeSplits\",type:\"number\",defaultValue:1}]},{tfOpName:\"SplitV\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"numOrSizeSplits\",type:\"number[]\"},{start:2,name:\"axis\",type:\"number\",defaultValue:0}]},{tfOpName:\"ScatterNd\",category:\"slice_join\",inputs:[{start:0,name:\"indices\",type:\"tensor\"},{start:1,name:\"values\",type:\"tensor\"},{start:2,name:\"shape\",type:\"number[]\"}]},{tfOpName:\"GatherNd\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"}]},{tfOpName:\"SparseToDense\",category:\"slice_join\",inputs:[{start:0,name:\"sparseIndices\",type:\"tensor\"},{start:1,name:\"outputShape\",type:\"number[]\"},{start:2,name:\"sparseValues\",type:\"tensor\"},{start:3,name:\"defaultValue\",type:\"tensor\"}],attrs:[{tfName:\"validate_indices\",name:\"validateIndices\",type:\"bool\",defaultValue:!1,notSupported:!0}]}];var aN={};Wt(aN,{json:()=>i7});var i7=[{tfOpName:\"SparseFillEmptyRows\",category:\"sparse\",inputs:[{start:0,name:\"indices\",type:\"tensor\"},{start:1,name:\"values\",type:\"tensor\"},{start:2,name:\"denseShape\",type:\"tensor\"},{start:3,name:\"defaultValue\",type:\"tensor\"}]},{tfOpName:\"SparseReshape\",category:\"sparse\",inputs:[{start:0,name:\"inputIndices\",type:\"tensor\"},{start:1,name:\"inputShape\",type:\"tensor\"},{start:2,name:\"newShape\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"SparseSegmentMean\",category:\"sparse\",inputs:[{start:0,name:\"data\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"},{start:2,name:\"segmentIds\",type:\"tensor\"}]},{tfOpName:\"SparseSegmentSum\",category:\"sparse\",inputs:[{start:0,name:\"data\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"},{start:2,name:\"segmentIds\",type:\"tensor\"}]}];var lN={};Wt(lN,{json:()=>a7});var a7=[{tfOpName:\"FFT\",category:\"spectral\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"IFFT\",category:\"spectral\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"RFFT\",category:\"spectral\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"fft_length\",type:\"number\",notSupported:!0}]},{tfOpName:\"IRFFT\",category:\"spectral\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"fft_length\",type:\"number\",notSupported:!0}]}];var uN={};Wt(uN,{json:()=>l7});var l7=[{tfOpName:\"StringNGrams\",category:\"string\",inputs:[{start:0,name:\"data\",type:\"tensor\"},{start:1,name:\"dataSplits\",type:\"tensor\"}],attrs:[{tfName:\"separator\",name:\"separator\",type:\"string\"},{tfName:\"ngram_widths\",name:\"nGramWidths\",type:\"number[]\"},{tfName:\"left_pad\",name:\"leftPad\",type:\"string\"},{tfName:\"right_pad\",name:\"rightPad\",type:\"string\"},{tfName:\"pad_width\",name:\"padWidth\",type:\"number\"},{tfName:\"preserve_short_sequences\",name:\"preserveShortSequences\",type:\"bool\"}],outputs:[\"ngrams\",\"ngrams_splits\"]},{tfOpName:\"StringSplit\",category:\"string\",inputs:[{start:0,name:\"input\",type:\"tensor\"},{start:1,name:\"delimiter\",type:\"tensor\"}],attrs:[{tfName:\"skip_empty\",name:\"skipEmpty\",type:\"bool\"}],outputs:[\"indices\",\"values\",\"shape\"]},{tfOpName:\"StringToHashBucketFast\",category:\"string\",inputs:[{start:0,name:\"input\",type:\"tensor\"}],attrs:[{tfName:\"num_buckets\",name:\"numBuckets\",type:\"number\"}]}];var cN={};Wt(cN,{json:()=>u7});var u7=[{tfOpName:\"Cast\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"SrcT\",name:\"sdtype\",type:\"dtype\",notSupported:!0},{tfName:\"DstT\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"ExpandDims\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}]},{tfOpName:\"MirrorPad\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"padding\",type:\"number[]\"}],attrs:[{tfName:\"mode\",name:\"mode\",type:\"string\"}]},{tfOpName:\"Pad\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"padding\",type:\"number[]\"}],attrs:[{tfName:\"constant_value\",name:\"constantValue\",type:\"number\",defaultValue:0}]},{tfOpName:\"PadV2\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"padding\",type:\"number[]\"},{start:2,name:\"constantValue\",type:\"number\",defaultValue:0}]},{tfOpName:\"Reshape\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"shape\",type:\"number[]\"}]},{tfOpName:\"Squeeze\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"axis\",tfDeprecatedName:\"squeeze_dims\",name:\"axis\",type:\"number[]\"}]},{tfOpName:\"SpaceToBatchND\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"blockShape\",type:\"number[]\"},{start:2,name:\"paddings\",type:\"number[]\"}]},{tfOpName:\"BatchToSpaceND\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"blockShape\",type:\"number[]\"},{start:2,name:\"crops\",type:\"number[]\"}]},{tfOpName:\"DepthToSpace\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"block_size\",name:\"blockSize\",type:\"number\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\"}]},{tfOpName:\"BroadcastTo\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"shape\",type:\"number[]\"}],attrs:[]},{tfOpName:\"BroadcastArgs\",category:\"transformation\",inputs:[{start:0,name:\"s0\",type:\"tensor\"},{start:1,name:\"s1\",type:\"tensor\"}],attrs:[]}];var Fh=class{constructor(){let t=[qv,Kv,jv,Xv,Yv,Zv,Jv,Qv,tN,eN,rN,nN,oN,sN,iN,aN,lN,uN,cN],e=[].concat(...t.map(n=>n.json));this.opMappers=e.reduce((n,o)=>(n[o.tfOpName]=o,n),{})}static get Instance(){return this._instance||(this._instance=new this)}transformGraph(t,e={}){let n=t.node,o=[],s=[],i=[],a=n.reduce((h,g)=>(h[g.name]=this.mapNode(g),g.op.startsWith(\"Placeholder\")?o.push(h[g.name]):g.op===\"Const\"?s.push(h[g.name]):(g.input==null||g.input.length===0)&&i.push(h[g.name]),h),{}),u=[],l=[],c={},p={};e!=null&&(c=this.mapSignatureEntries(e.inputs),p=this.mapSignatureEntries(e.outputs));let m=Object.keys(a);m.forEach(h=>{let g=a[h];g.inputNames.forEach((x,b)=>{let[w,,C]=_o(x),N=a[w];if(N.outputs!=null){let _=N.outputs.indexOf(C);if(_!==-1){let A=`${w}:${_}`;g.inputNames[b]=A}}g.inputs.push(N),N.children.push(g)})}),Object.keys(p).length===0?m.forEach(h=>{let g=a[h];g.children.length===0&&l.push(g)}):Object.keys(p).forEach(h=>{let[g]=_o(h),x=a[g];x!=null&&(x.signatureKey=p[h],l.push(x))}),Object.keys(c).length>0?Object.keys(c).forEach(h=>{let[g]=_o(h),x=a[g];x&&(x.signatureKey=c[h],u.push(x))}):u=o;let f={};t.library!=null&&t.library.function!=null&&(f=t.library.function.reduce((h,g)=>(h[g.signature.name]=this.mapFunction(g),h),{}));let d={nodes:a,inputs:u,outputs:l,weights:s,placeholders:o,signature:e,functions:f};return i.length>0&&(d.initNodes=i),d}mapSignatureEntries(t){return Object.keys(t||{}).reduce((e,n)=>(e[t[n].name]=n,e),{})}mapNode(t){let e=Nb(t.op)||this.opMappers[t.op]||{};t.attr==null&&(t.attr={});let n={name:t.name,op:t.op,category:e.category,inputNames:(t.input||[]).map(o=>o.startsWith(\"^\")?o.slice(1):o),inputs:[],children:[],inputParams:{},attrParams:{},rawAttrs:t.attr,outputs:e.outputs};return e.inputs!=null&&(n.inputParams=e.inputs.reduce((o,s)=>(o[s.name]={type:s.type,inputIndexStart:s.start,inputIndexEnd:s.end},o),{})),e.attrs!=null&&(n.attrParams=e.attrs.reduce((o,s)=>{let i=s.type,a;switch(s.type){case\"string\":a=kb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=kb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"string[]\":a=Fb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Fb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"number\":a=_b(t.attr,s.tfName,s.defaultValue||0),a===void 0&&!!s.tfDeprecatedName&&(a=_b(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"number[]\":a=Rb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Rb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"bool\":a=Eb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Eb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"bool[]\":a=Pb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Pb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"shape\":a=Db(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Db(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"shape[]\":a=Ob(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Ob(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"dtype\":a=Ab(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Ab(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"dtype[]\":a=$b(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=$b(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"func\":a=OD(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=OD(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"tensor\":case\"tensors\":break;default:throw new Error(`Unsupported param type: ${s.type} for op: ${t.op}`)}return o[s.name]={value:a,type:i},o},{})),n}mapFunction(t){let e=t.nodeDef,n=[],o=[],s={};e!=null&&(s=e.reduce((p,m)=>(p[m.name]=this.mapNode(m),m.op===\"Const\"&&o.push(p[m.name]),p),{}));let i=[],a=[];t.signature.inputArg.forEach(p=>{let[m]=_o(p.name),f={name:m,op:\"Placeholder\",inputs:[],inputNames:[],category:\"graph\",inputParams:{},attrParams:{dtype:{value:pN(p.type),type:\"dtype\"}},children:[]};f.signatureKey=p.name,i.push(f),s[m]=f}),Object.keys(s).forEach(p=>{let m=s[p];m.inputNames.forEach((f,d)=>{let[h,,g]=_o(f),x=s[h];if(x.outputs!=null){let b=x.outputs.indexOf(g);if(b!==-1){let w=`${h}:${b}`;m.inputNames[d]=w}}m.inputs.push(x),x.children.push(m)})});let l=t.ret;t.signature.outputArg.forEach(p=>{let[m,f]=_o(l[p.name]),d=s[m];d!=null&&(d.defaultOutput=f,a.push(d))});let c=this.mapArgsToSignature(t);return{nodes:s,inputs:i,outputs:a,weights:o,placeholders:n,signature:c}}mapArgsToSignature(t){return{methodName:t.signature.name,inputs:t.signature.inputArg.reduce((e,n)=>(e[n.name]=this.mapArgToTensorInfo(n),e),{}),outputs:t.signature.outputArg.reduce((e,n)=>(e[n.name]=this.mapArgToTensorInfo(n,t.ret),e),{})}}mapArgToTensorInfo(t,e){let n=t.name;return e!=null&&(n=e[n]),{name:n,dtype:t.type}}};function c7(r){let t=z().global;if(typeof t.atob!=\"undefined\")return t.atob(r);if(typeof Buffer!=\"undefined\")return new Buffer(r,\"base64\").toString();throw new Error(\"Unable to decode base64 in this environment. Missing built-in atob() or Buffer()\")}function PD(r,t){let e=Array.isArray(r)?String.fromCharCode.apply(null,r):c7(r);return t?e:e.toLowerCase()}function kb(r,t,e,n=!1){let o=r[t];return o!=null?PD(o.s,n):e}function Eb(r,t,e){let n=r[t];return n?n.b:e}function _b(r,t,e){let n=r[t]||{},o=n.i!=null?n.i:n.f!=null?n.f:e;return typeof o==\"number\"?o:parseInt(o,10)}function pN(r){switch(typeof r==\"string\"&&(r=oo[r]),r){case oo.DT_FLOAT:case oo.DT_HALF:return\"float32\";case oo.DT_INT32:case oo.DT_INT64:case oo.DT_INT8:case oo.DT_UINT8:return\"int32\";case oo.DT_BOOL:return\"bool\";case oo.DT_DOUBLE:return\"float32\";case oo.DT_STRING:return\"string\";default:return null}}function OD(r,t,e){let n=r[t];return n&&n.func?n.func.name:e}function Ab(r,t,e){let n=r[t];return n&&n.type?pN(n.type):e}function $b(r,t,e){let n=r[t];return n&&n.list&&n.list.type?n.list.type.map(o=>pN(o)):e}function LD(r){if(!r.unknownRank)return r.dim!=null?r.dim.map(t=>typeof t.size==\"number\"?t.size:parseInt(t.size,10)):[]}function Db(r,t,e){let n=r[t];return n&&n.shape?LD(n.shape):e}function Rb(r,t,e){let n=r[t];return n?((n.list.f&&n.list.f.length?n.list.f:n.list.i)||[]).map(o=>typeof o==\"number\"?o:parseInt(o,10)):e}function Fb(r,t,e,n=!1){let o=r[t];return o&&o.list&&o.list.s?o.list.s.map(s=>PD(s,n)):e}function Ob(r,t,e){let n=r[t];return n&&n.list&&n.list.shape?n.list.shape.map(o=>LD(o)):e}function Pb(r,t,e){let n=r[t];return n&&n.list&&n.list.b?n.list.b:e}var Lb=class{constructor(t,e,n){this.node=t,this.tensorMap=e,this.context=n,this.inputs=[],this.attrs={},this.inputs=t.inputNames.map(o=>this.getInput(o)),t.rawAttrs!=null&&(this.attrs=Object.keys(t.rawAttrs).reduce((o,s)=>(o[s]=this.getAttr(s),o),{}))}getInput(t){return br(t,this.tensorMap,this.context)}getAttr(t,e){let n=this.node.rawAttrs[t];if(n.tensor!=null)return br(t,this.tensorMap,this.context);if(n.i!=null||n.f!=null)return _b(this.node.rawAttrs,t,e);if(n.s!=null)return kb(this.node.rawAttrs,t,e);if(n.b!=null)return Eb(this.node.rawAttrs,t,e);if(n.shape!=null)return Db(this.node.rawAttrs,t,e);if(n.type!=null)return Ab(this.node.rawAttrs,t,e);if(n.list!=null){if(n.list.i!=null||n.list.f!=null)return Rb(this.node.rawAttrs,t,e);if(n.list.s!=null)return Fb(this.node.rawAttrs,t,e);if(n.list.shape!=null)return Ob(this.node.rawAttrs,t,e);if(n.list.b!=null)return Pb(this.node.rawAttrs,t,e);if(n.list.type!=null)return $b(this.node.rawAttrs,t,e)}return e}};var ae={};Wt(ae,{OP_SCOPE_SUFFIX:()=>k0,abs:()=>Ee,acos:()=>ax,acosh:()=>lx,add:()=>X,addN:()=>LE,all:()=>Zp,any:()=>qu,argMax:()=>Ai,argMin:()=>ux,asin:()=>cx,asinh:()=>px,atan:()=>mx,atan2:()=>fx,atanh:()=>dx,avgPool:()=>Yl,avgPool3d:()=>gx,basicLSTMCell:()=>BE,batchNorm:()=>Di,batchNorm2d:()=>xx,batchNorm3d:()=>yx,batchNorm4d:()=>bx,batchToSpaceND:()=>Zl,bincount:()=>wx,booleanMaskAsync:()=>r6,broadcastArgs:()=>GE,broadcastTo:()=>Ri,buffer:()=>wt,cast:()=>J,ceil:()=>Cx,clipByValue:()=>Cr,clone:()=>sn,complex:()=>wn,concat:()=>ne,concat1d:()=>Ix,concat2d:()=>Sx,concat3d:()=>vx,concat4d:()=>Nx,conv1d:()=>Qp,conv2d:()=>In,conv2dTranspose:()=>em,conv3d:()=>Tx,conv3dTranspose:()=>Ex,cos:()=>Jl,cosh:()=>rm,cosineWindow:()=>hh,cumprod:()=>Xu,cumsum:()=>nm,denseBincount:()=>ch,depthToSpace:()=>_x,depthwiseConv2d:()=>Fi,diag:()=>WE,dilation2d:()=>Ax,div:()=>pt,divNoNan:()=>$x,dot:()=>Dx,dropout:()=>lv,einsum:()=>UE,elu:()=>Oi,enclosingPowerOfTwo:()=>uv,equal:()=>$r,erf:()=>Rx,euclideanNorm:()=>Fx,exp:()=>er,expandDims:()=>rr,expm1:()=>Ox,eye:()=>Yu,fft:()=>au,fill:()=>xo,floor:()=>Pi,floorDiv:()=>Yp,fused:()=>uu,gather:()=>Li,gatherND:()=>p6,greater:()=>Re,greaterEqual:()=>ln,ifft:()=>tl,imag:()=>Xl,image:()=>Gs,inTopKAsync:()=>d6,irfft:()=>xm,isFinite:()=>Px,isInf:()=>Lx,isNaN:()=>Mx,leakyRelu:()=>Ql,less:()=>om,lessEqual:()=>Ln,linalg:()=>pv,linspace:()=>KE,localResponseNormalization:()=>zx,log:()=>Sr,log1p:()=>tu,logSigmoid:()=>Gx,logSoftmax:()=>sm,logSumExp:()=>im,logicalAnd:()=>Rr,logicalNot:()=>eu,logicalOr:()=>am,logicalXor:()=>Wx,losses:()=>dX,lowerBound:()=>jE,matMul:()=>Lt,max:()=>Ir,maxPool:()=>ru,maxPool3d:()=>Hx,maxPoolWithArgmax:()=>XE,maximum:()=>Sn,mean:()=>ve,meshgrid:()=>YE,min:()=>Ja,minimum:()=>Mi,mirrorPad:()=>qx,mod:()=>Kx,moments:()=>Zu,movingAverage:()=>o6,mul:()=>D,multiRNNCell:()=>ZE,multinomial:()=>JE,neg:()=>Ht,norm:()=>Qa,notEqual:()=>Bs,oneHot:()=>Ei,ones:()=>cr,onesLike:()=>yr,op:()=>T,outerProduct:()=>QE,pad:()=>cn,pad1d:()=>t_,pad2d:()=>e_,pad3d:()=>r_,pad4d:()=>n_,pool:()=>jx,pow:()=>an,prelu:()=>ou,print:()=>Jg,prod:()=>Xx,raggedGather:()=>o_,raggedRange:()=>s_,raggedTensorToTensor:()=>i_,rand:()=>a_,randomGamma:()=>v_,randomNormal:()=>tc,randomStandardNormal:()=>N_,randomUniform:()=>zi,range:()=>su,real:()=>Za,reciprocal:()=>ty,relu:()=>Fr,relu6:()=>lm,reshape:()=>R,reverse:()=>pr,reverse1d:()=>T_,reverse2d:()=>k_,reverse3d:()=>E_,reverse4d:()=>__,rfft:()=>lu,round:()=>um,rsqrt:()=>cm,scalar:()=>mt,scatterND:()=>i6,searchSorted:()=>mh,selu:()=>pm,separableConv2d:()=>mm,setdiff1dAsync:()=>A_,sigmoid:()=>Yr,sign:()=>ey,signal:()=>fX,sin:()=>fm,sinh:()=>dm,slice:()=>Rt,slice1d:()=>hm,slice2d:()=>dh,slice3d:()=>gm,slice4d:()=>ec,softmax:()=>iu,softplus:()=>zs,spaceToBatchND:()=>nu,sparse:()=>hX,sparseToDense:()=>u6,spectral:()=>mX,split:()=>mr,sqrt:()=>Se,square:()=>Mt,squaredDifference:()=>ym,squeeze:()=>Mn,stack:()=>nr,step:()=>bo,stridedSlice:()=>ry,string:()=>gX,sub:()=>ct,sum:()=>ft,tan:()=>ny,tanh:()=>$i,tensor:()=>ur,tensor1d:()=>Me,tensor2d:()=>Vs,tensor3d:()=>rx,tensor4d:()=>$_,tensor5d:()=>D_,tensor6d:()=>R_,tile:()=>Dr,topk:()=>oy,transpose:()=>Ot,truncatedNormal:()=>bm,unique:()=>sy,unsortedSegmentSum:()=>wm,unstack:()=>vr,upperBound:()=>F_,variable:()=>iy,where:()=>_e,whereAsync:()=>ly,zeros:()=>Ne,zerosLike:()=>It});var MD=(r,t,e,n=ae)=>{switch(r.op){case\"BiasAdd\":case\"AddV2\":case\"Add\":return[n.add(S(\"a\",r,t,e),S(\"b\",r,t,e))];case\"AddN\":return[n.addN(S(\"tensors\",r,t,e))];case\"FloorMod\":case\"Mod\":return[n.mod(S(\"a\",r,t,e),S(\"b\",r,t,e))];case\"Mul\":return[n.mul(S(\"a\",r,t,e),S(\"b\",r,t,e))];case\"RealDiv\":case\"Div\":return[n.div(S(\"a\",r,t,e),S(\"b\",r,t,e))];case\"DivNoNan\":return[n.divNoNan(S(\"a\",r,t,e),S(\"b\",r,t,e))];case\"FloorDiv\":return[n.floorDiv(S(\"a\",r,t,e),S(\"b\",r,t,e))];case\"Sub\":return[n.sub(S(\"a\",r,t,e),S(\"b\",r,t,e))];case\"Minimum\":return[n.minimum(S(\"a\",r,t,e),S(\"b\",r,t,e))];case\"Maximum\":return[n.maximum(S(\"a\",r,t,e),S(\"b\",r,t,e))];case\"Pow\":return[n.pow(S(\"a\",r,t,e),S(\"b\",r,t,e))];case\"SquaredDifference\":return[n.squaredDifference(S(\"a\",r,t,e),S(\"b\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var zD=(r,t,e,n=ae)=>{switch(r.op){case\"Abs\":case\"ComplexAbs\":return[n.abs(S(\"x\",r,t,e))];case\"Acos\":return[n.acos(S(\"x\",r,t,e))];case\"Acosh\":return[n.acosh(S(\"x\",r,t,e))];case\"Asin\":return[n.asin(S(\"x\",r,t,e))];case\"Asinh\":return[n.asinh(S(\"x\",r,t,e))];case\"Atan\":return[n.atan(S(\"x\",r,t,e))];case\"Atan2\":return[n.atan2(S(\"x\",r,t,e),S(\"y\",r,t,e))];case\"Atanh\":return[n.atanh(S(\"x\",r,t,e))];case\"Ceil\":return[n.ceil(S(\"x\",r,t,e))];case\"Complex\":return[n.complex(S(\"real\",r,t,e),S(\"imag\",r,t,e))];case\"Cos\":return[n.cos(S(\"x\",r,t,e))];case\"Cosh\":return[n.cosh(S(\"x\",r,t,e))];case\"Elu\":return[n.elu(S(\"x\",r,t,e))];case\"Erf\":return[n.erf(S(\"x\",r,t,e))];case\"Exp\":return[n.exp(S(\"x\",r,t,e))];case\"Expm1\":return[n.expm1(S(\"x\",r,t,e))];case\"Floor\":return[n.floor(S(\"x\",r,t,e))];case\"Log\":return[n.log(S(\"x\",r,t,e))];case\"Log1p\":return[n.log1p(S(\"x\",r,t,e))];case\"Imag\":return[n.imag(S(\"x\",r,t,e))];case\"Neg\":return[n.neg(S(\"x\",r,t,e))];case\"Reciprocal\":return[n.reciprocal(S(\"x\",r,t,e))];case\"Real\":return[n.real(S(\"x\",r,t,e))];case\"Relu\":return[n.relu(S(\"x\",r,t,e))];case\"Round\":return[n.round(S(\"x\",r,t,e))];case\"Selu\":return[n.selu(S(\"x\",r,t,e))];case\"Sigmoid\":return[n.sigmoid(S(\"x\",r,t,e))];case\"Sin\":return[n.sin(S(\"x\",r,t,e))];case\"Sign\":return[n.sign(S(\"x\",r,t,e))];case\"Sinh\":return[n.sinh(S(\"x\",r,t,e))];case\"Softplus\":return[n.softplus(S(\"x\",r,t,e))];case\"Sqrt\":return[n.sqrt(S(\"x\",r,t,e))];case\"Square\":return[n.square(S(\"x\",r,t,e))];case\"Tanh\":return[n.tanh(S(\"x\",r,t,e))];case\"Tan\":return[n.tan(S(\"x\",r,t,e))];case\"ClipByValue\":return[n.clipByValue(S(\"x\",r,t,e),S(\"clipValueMin\",r,t,e),S(\"clipValueMax\",r,t,e))];case\"Relu6\":return[n.relu6(S(\"x\",r,t,e))];case\"Rsqrt\":return[n.rsqrt(br(r.inputNames[0],t,e))];case\"Prod\":return[n.prod(S(\"x\",r,t,e),S(\"axes\",r,t,e))];case\"LeakyRelu\":return[n.leakyRelu(S(\"x\",r,t,e),S(\"alpha\",r,t,e))];case\"Prelu\":return[n.prelu(S(\"x\",r,t,e),S(\"alpha\",r,t,e))];case\"IsNan\":return[n.isNaN(br(r.inputNames[0],t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function Vn(r,t,e=\"\"){if(!(typeof r==\"number\"||typeof t==\"number\")){y.assert(r.length===t.length,()=>e+` Shapes ${r} and ${t} must match`);for(let n=0;ne+` Shapes ${r} and ${t} must match`)}}}function BD(r){return!(typeof r==\"number\"||r.some(t=>t<0))}function Kf(r,t,e){let n=Mb(r,e),o=!BD(n);if(o&&t.length===0)throw new Error(`Tried to calculate elements of an empty list with non-fully-defined elementShape: ${n}`);if(o&&t.forEach(s=>{n=Mb(s.shape,n)}),!BD(n))throw new Error(`Non-fully-defined elementShape: ${n}`);return n}function Mb(r,t){if(typeof r==\"number\")return t;if(typeof t==\"number\")return r;if(r.length!==t.length)throw new Error(`Incompatible ranks during merge: ${r} vs. ${t}`);let e=[];for(let n=0;n=0&&s>=0&&o!==s)throw new Error(`Incompatible shape during merge: ${r} vs. ${t}`);e[n]=o>=0?o:s}return e}var zb=class{constructor(t,e,n,o,s,i,a){this.name=t,this.dtype=e,this.maxSize=n,this.elementShape=o,this.identicalElementShapes=s,this.dynamicSize=i,this.clearAfterRead=a,this.tensors=[],this.closed_=!1,this.idTensor=mt(0),De(this.idTensor)}get id(){return this.idTensor.id}get closed(){return this.closed_}clearAndClose(t){this.tensors.forEach(e=>{(t==null||!t.has(e.tensor.id))&&e.tensor.dispose()}),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}size(){return this.tensors.length}read(t){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(t<0||t>=this.size())throw new Error(`Tried to read from index ${t}, but array size is: ${this.size()}`);let e=this.tensors[t];if(e.cleared)throw new Error(`TensorArray ${this.name}: Could not read index ${t} twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).`);return this.clearAfterRead&&(e.cleared=!0),e.read=!0,e.tensor}readMany(t){return t.map(e=>this.read(e))}write(t,e){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(t<0||!this.dynamicSize&&t>=this.maxSize)throw new Error(`Tried to write to index ${t}, but array is not resizeable and size is: ${this.maxSize}`);let n=this.tensors[t]||{};if(e.dtype!==this.dtype)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${t},\n because the value dtype is ${e.dtype}, but TensorArray dtype is ${this.dtype}.`);if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=e.shape),Vn(this.elementShape,e.shape,`TensorArray ${this.name}: Could not write to TensorArray index ${t}.`),n.read)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${t}, because it has already been read.`);if(n.written)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${t}, because it has already been written.`);n.tensor=e,De(e),n.written=!0,this.tensors[t]=n}writeMany(t,e){if(t.length!==e.length)throw new Error(`TensorArray ${this.name}: could not write multiple tensors,because the index size: ${t.length} is not the same as tensors size: ${e.length}.`);t.forEach((n,o)=>this.write(n,e[o]))}gather(t,e){if(!!e&&e!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but gather requested dtype ${e}`);if(t)t=t.slice(0,this.size());else{t=[];for(let o=0;o=this.maxSize)throw new Error(`Max index must be < array size (${n} vs. ${this.maxSize})`);this.writeMany(t,vr(e,0))}split(t,e){if(e.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${e.dtype}`);let n=0,o=t.map(u=>(n+=u,n));if(n!==e.shape[0])throw new Error(`Expected sum of lengths to be equal to\n tensor.shape[0], but sum of lengths is\n ${n}, and tensor's shape is: ${e.shape}`);if(!this.dynamicSize&&t.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${t.length}), and the TensorArray is not marked as dynamically resizeable`);let s=n===0?0:e.size/n,i=[];B(()=>{e=R(e,[1,n,s]);for(let u=0;u{if(n!==s.dtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${s.dtype}`);Vn(e,s.shape,\"TensorList shape mismatch: \"),De(s)}),this.idTensor=mt(0),this.maxNumElements=o,De(this.idTensor)}get id(){return this.idTensor.id}copy(){return new ml([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(t){this.tensors.forEach(e=>{(t==null||!t.has(e.id))&&e.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(t,e,n=-1){if(e!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e}, but list elements ${this.elementDtype}`);if(n!==-1&&this.tensors.length!==n)throw new Error(`Operation expected a list with ${n} elements but got a list with ${this.tensors.length} elements.`);Vn(t,this.elementShape,\"TensorList shape mismatch: \");let o=Kf(this.elementShape,this.tensors,t);return B(()=>{let s=this.tensors.map(i=>R(i,o));return nr(s,0)})}popBack(t,e){if(e!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e}, but list elements ${this.elementDtype}`);if(this.size()===0)throw new Error(\"Trying to pop from an empty list.\");let n=Kf(this.elementShape,this.tensors,t),o=this.tensors.pop();return o.kept=!1,Vn(o.shape,t,\"TensorList shape mismatch: \"),R(o,n)}pushBack(t){if(t.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t.dtype}, but list elements ${this.elementDtype}`);if(Vn(t.shape,this.elementShape,\"TensorList shape mismatch: \"),this.maxNumElements===this.size())throw new Error(\"Trying to push element into a full list.\");De(t),this.tensors.push(t)}resize(t){if(t<0)throw new Error(`TensorListResize expects size to be non-negative. Got: ${t}`);if(this.maxNumElements!==-1&&t>this.maxNumElements)throw new Error(`TensorListResize input size ${t} is greater maxNumElement ${this.maxNumElements}.`);let e=new ml([],this.elementShape,this.elementDtype,this.maxNumElements);e.tensors.length=t;for(let n=0;nthis.tensors.length)throw new Error(`Trying to access element ${t} in a list with ${this.tensors.length} elements.`);if(this.tensors[t]==null)throw new Error(`element at index ${t} is null.`);Vn(this.tensors[t].shape,e,\"TensorList shape mismatch: \");let o=Kf(this.elementShape,this.tensors,e);return R(this.tensors[t],o)}setItem(t,e){if(e.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`);if(t<0||this.maxNumElements!==-1&&t>=this.maxNumElements)throw new Error(`Trying to set element ${t} in a list with max ${this.maxNumElements} elements.`);Vn(this.elementShape,e.shape,\"TensorList shape mismatch: \"),De(e),this.tensors[t]!=null&&(this.tensors[t].kept=!1),this.tensors[t]=e}gather(t,e,n){if(e!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e}, but list elements ${this.elementDtype}`);Vn(this.elementShape,n,\"TensorList shape mismatch: \"),t=t.slice(0,this.size());let o=Kf(this.elementShape,this.tensors,n);return t.length===0?ur([],[0].concat(o)):B(()=>{let s=t.map(i=>R(this.tensors[i],o));return nr(s,0)})}concat(t,e){if(!!t&&t!==this.elementDtype)throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${t}`);Vn(this.elementShape,e,\"TensorList shape mismatch: \");let n=Kf(this.elementShape,this.tensors,e);return this.size()===0?ur([],[0].concat(n)):B(()=>{let o=this.tensors.map(s=>R(s,n));return ne(o,0)})}};function VD(r,t,e){let n=r.dtype;if(r.shape.length<1)throw new Error(`Tensor must be at least a vector, but saw shape: ${r.shape}`);if(r.dtype!==e)throw new Error(`Invalid data types; op elements ${r.dtype}, but list elements ${e}`);let o=r.shape.slice(1);Vn(o,t,\"TensorList shape mismatch: \");let s=vr(r);return new ml(s,t,n)}function GD(r,t,e,n){return new ml([],r,t,n)}function WD(r,t,e,n){if(t.length!==r.shape[0])throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${t.length} vs. ${r.shape[0]}`);let o=Math.max(...t);if(n!=null&&n!==-1&&o>=n)throw new Error(`Max index must be < array size (${o} vs. ${n})`);let s=new ml([],e,r.dtype,n),i=vr(r,0);return t.forEach((a,u)=>{s.setItem(a,i[u])}),s}function UD(r,t,e){let n=0,o=t.map(c=>(n+=c,n));if(n!==r.shape[0])throw new Error(`Expected sum of lengths to be equal to\n tensor.shape[0], but sum of lengths is\n ${n}, and tensor's shape is: ${r.shape}`);let s=r.shape.slice(1),i=Mb(s,e),a=n===0?0:r.size/n,u=B(()=>{let c=[];r=R(r,[1,n,a]);for(let p=0;p{switch(r.op){case\"If\":case\"StatelessIf\":{let n=S(\"thenBranch\",r,t,e),o=S(\"elseBranch\",r,t,e),s=S(\"cond\",r,t,e),i=S(\"args\",r,t,e);return(await s.data())[0]?e.functionMap[n].executeFunctionAsync(i,e.tensorArrayMap,e.tensorListMap):e.functionMap[o].executeFunctionAsync(i,e.tensorArrayMap,e.tensorListMap)}case\"While\":case\"StatelessWhile\":{let n=S(\"body\",r,t,e),o=S(\"cond\",r,t,e),s=S(\"args\",r,t,e),i=await e.functionMap[o].executeFunctionAsync(s,e.tensorArrayMap,e.tensorListMap),a=s.map(c=>c.id),u=await i[0].data();i.forEach(c=>{!c.kept&&a.indexOf(c.id)===-1&&c.dispose()});let l=s;for(;u[0];){let c=l;l=await e.functionMap[n].executeFunctionAsync(l,e.tensorArrayMap,e.tensorListMap);let p=l.map(f=>f.id);c.forEach(f=>{!f.kept&&a.indexOf(f.id)===-1&&p.indexOf(f.id)===-1&&f.dispose()});let m=await e.functionMap[o].executeFunctionAsync(l,e.tensorArrayMap,e.tensorListMap);u=await m[0].data(),m.forEach(f=>{!f.kept&&a.indexOf(f.id)===-1&&p.indexOf(f.id)===-1&&f.dispose()})}return l}case\"LoopCond\":{let n=S(\"pred\",r,t,e);return[Zs(n)]}case\"Switch\":{let n=S(\"pred\",r,t,e),o=S(\"data\",r,t,e);return o.kept||(o=Zs(o)),(await n.data())[0]?[void 0,o]:[o,void 0]}case\"Merge\":{let n=r.inputNames.find(o=>br(o,t,e)!==void 0);if(n){let o=br(n,t,e);return[Zs(o)]}return}case\"Enter\":{let n=S(\"frameName\",r,t,e),o=S(\"tensor\",r,t,e);return e.enterFrame(n),[Zs(o)]}case\"Exit\":{let n=S(\"tensor\",r,t,e);return e.exitFrame(),[Zs(n)]}case\"NextIteration\":{let n=S(\"tensor\",r,t,e);return e.nextIteration(),[Zs(n)]}case\"TensorArrayV3\":{let n=S(\"size\",r,t,e),o=S(\"dtype\",r,t,e),s=S(\"elementShape\",r,t,e),i=S(\"dynamicSize\",r,t,e),a=S(\"clearAfterRead\",r,t,e),u=S(\"identicalElementShapes\",r,t,e),l=S(\"name\",r,t,e),c=new zb(l,o,n,s,u,i,a);return e.addTensorArray(c),[c.idTensor,mt(1)]}case\"TensorArrayWriteV3\":{let n=S(\"tensorArrayId\",r,t,e),o=S(\"index\",r,t,e),s=S(\"tensor\",r,t,e),i=e.getTensorArray(n.id);return i.write(o,s),[i.idTensor]}case\"TensorArrayReadV3\":{let n=S(\"tensorArrayId\",r,t,e),o=S(\"index\",r,t,e);return[e.getTensorArray(n.id).read(o)]}case\"TensorArrayGatherV3\":{let n=S(\"tensorArrayId\",r,t,e),o=S(\"indices\",r,t,e),s=S(\"dtype\",r,t,e);return[e.getTensorArray(n.id).gather(o,s)]}case\"TensorArrayScatterV3\":{let n=S(\"tensorArrayId\",r,t,e),o=S(\"indices\",r,t,e),s=S(\"tensor\",r,t,e),i=e.getTensorArray(n.id);return i.scatter(o,s),[i.idTensor]}case\"TensorArrayConcatV3\":{let n=S(\"tensorArrayId\",r,t,e),o=e.getTensorArray(n.id),s=S(\"dtype\",r,t,e);return[o.concat(s)]}case\"TensorArraySplitV3\":{let n=S(\"tensorArrayId\",r,t,e),o=S(\"tensor\",r,t,e),s=S(\"lengths\",r,t,e),i=e.getTensorArray(n.id);return i.split(s,o),[i.idTensor]}case\"TensorArraySizeV3\":{let n=S(\"tensorArrayId\",r,t,e),o=e.getTensorArray(n.id);return[mt(o.size(),\"int32\")]}case\"TensorArrayCloseV3\":{let n=S(\"tensorArrayId\",r,t,e),o=e.getTensorArray(n.id);return o.clearAndClose(),[o.idTensor]}case\"TensorListSetItem\":{let n=S(\"tensorListId\",r,t,e),o=S(\"index\",r,t,e),s=S(\"tensor\",r,t,e),i=e.getTensorList(n.id);return i.setItem(o,s),[i.idTensor]}case\"TensorListGetItem\":{let n=S(\"tensorListId\",r,t,e),o=S(\"index\",r,t,e),s=S(\"elementShape\",r,t,e),i=S(\"elementDType\",r,t,e);return[e.getTensorList(n.id).getItem(o,s,i)]}case\"TensorListScatterV2\":case\"TensorListScatter\":{let n=S(\"indices\",r,t,e),o=S(\"tensor\",r,t,e),s=S(\"elementShape\",r,t,e),i=S(\"numElements\",r,t,e),a=WD(o,n,s,i);return e.addTensorList(a),[a.idTensor]}case\"TensorListReserve\":case\"EmptyTensorList\":{let n=S(\"elementShape\",r,t,e),o=S(\"elementDType\",r,t,e),s;r.op===\"TensorListReserve\"?s=\"numElements\":s=\"maxNumElements\";let i=S(s,r,t,e),a=r.op===\"TensorListReserve\"?-1:i,u=GD(n,o,i,a);return e.addTensorList(u),[u.idTensor]}case\"TensorListGather\":{let n=S(\"tensorListId\",r,t,e),o=S(\"indices\",r,t,e),s=S(\"elementShape\",r,t,e),i=S(\"elementDType\",r,t,e);return[e.getTensorList(n.id).gather(o,i,s)]}case\"TensorListStack\":{let n=S(\"tensorListId\",r,t,e),o=S(\"elementShape\",r,t,e),s=S(\"elementDType\",r,t,e),i=S(\"numElements\",r,t,e);return[e.getTensorList(n.id).stack(o,s,i)]}case\"TensorListFromTensor\":{let n=S(\"tensor\",r,t,e),o=S(\"elementShape\",r,t,e),s=S(\"elementDType\",r,t,e),i=VD(n,o,s);return e.addTensorList(i),[i.idTensor]}case\"TensorListConcat\":case\"TensorListConcatV2\":{let n=S(\"tensorListId\",r,t,e),o=e.getTensorList(n.id),s=S(\"dtype\",r,t,e),i=S(\"elementShape\",r,t,e);return[o.concat(s,i)]}case\"TensorListPushBack\":{let n=S(\"tensorListId\",r,t,e),o=S(\"tensor\",r,t,e),s=e.getTensorList(n.id);return s.pushBack(o),[s.idTensor]}case\"TensorListPopBack\":{let n=S(\"tensorListId\",r,t,e),o=S(\"elementShape\",r,t,e),s=S(\"elementDType\",r,t,e);return[e.getTensorList(n.id).popBack(o,s)]}case\"TensorListSplit\":{let n=S(\"tensor\",r,t,e),o=S(\"elementShape\",r,t,e),s=S(\"lengths\",r,t,e),i=UD(n,s,o);return e.addTensorList(i),[i.idTensor]}case\"TensorListLength\":{let n=S(\"tensorListId\",r,t,e),o=e.getTensorList(n.id);return[mt(o.size(),\"int32\")]}case\"TensorListResize\":{let n=S(\"tensorListId\",r,t,e),o=S(\"size\",r,t,e),i=e.getTensorList(n.id).resize(o);return e.addTensorList(i),[i.idTensor]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};function qD(r,t,e){let[n,o]=S(\"fusedOps\",r,t,e),s=n===\"biasadd\",i=!s,a=o===\"prelu\",u=n===\"fusedbatchnorm\",l=S(\"numArgs\",r,t,e);if(s){if(a&&l!==2)throw new Error(\"FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.\");if(!a&&s&&l!==1)throw new Error(\"FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.\")}if(u)throw new Error(\"FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported\");let c=S(\"strides\",r,t,e),p=Rh(r,t,e),m=S(\"dataFormat\",r,t,e).toUpperCase(),f=S(\"dilations\",r,t,e),[d,h]=S(\"args\",r,t,e);i&&(h=d,d=void 0);let g=S(\"leakyreluAlpha\",r,t,e);return{stride:c,pad:p,dataFormat:m,dilations:f,biasArg:d,preluArg:h,activationFunc:o,leakyreluAlpha:g}}var KD=(r,t,e,n=ae)=>{switch(r.op){case\"Conv1D\":{let o=S(\"stride\",r,t,e),s=S(\"pad\",r,t,e),i=S(\"dataFormat\",r,t,e).toUpperCase(),a=S(\"dilation\",r,t,e);return[n.conv1d(S(\"x\",r,t,e),S(\"filter\",r,t,e),o,s,i,a)]}case\"Conv2D\":{let o=S(\"strides\",r,t,e),s=Rh(r,t,e),i=S(\"dataFormat\",r,t,e).toUpperCase(),a=S(\"dilations\",r,t,e);return[n.conv2d(S(\"x\",r,t,e),S(\"filter\",r,t,e),[o[1],o[2]],s,i,[a[1],a[2]])]}case\"_FusedConv2D\":{let{stride:o,pad:s,dataFormat:i,dilations:a,biasArg:u,preluArg:l,activationFunc:c,leakyreluAlpha:p}=qD(r,t,e);return[n.fused.conv2d({x:S(\"x\",r,t,e),filter:S(\"filter\",r,t,e),strides:[o[1],o[2]],pad:s,dataFormat:i,dilations:[a[1],a[2]],bias:u,activation:c,preluActivationWeights:l,leakyreluAlpha:p})]}case\"FusedDepthwiseConv2dNative\":{let{stride:o,pad:s,dataFormat:i,dilations:a,biasArg:u,preluArg:l,activationFunc:c,leakyreluAlpha:p}=qD(r,t,e);return[n.fused.depthwiseConv2d({x:S(\"x\",r,t,e),filter:S(\"filter\",r,t,e),strides:[o[1],o[2]],pad:s,dataFormat:i,dilations:[a[1],a[2]],bias:u,activation:c,preluActivationWeights:l,leakyreluAlpha:p})]}case\"Conv2DBackpropInput\":case\"Conv2dTranspose\":{let o=S(\"outputShape\",r,t,e),s=S(\"strides\",r,t,e),i=Rh(r,t,e);return[n.conv2dTranspose(S(\"x\",r,t,e),S(\"filter\",r,t,e),o,[s[1],s[2]],i)]}case\"DepthwiseConv2dNative\":case\"DepthwiseConv2d\":{let o=S(\"strides\",r,t,e),s=Rh(r,t,e),i=S(\"dilations\",r,t,e),a=S(\"dataFormat\",r,t,e).toUpperCase();return[n.depthwiseConv2d(S(\"input\",r,t,e),S(\"filter\",r,t,e),[o[1],o[2]],s,a,[i[1],i[2]])]}case\"Conv3D\":{let o=S(\"strides\",r,t,e),s=S(\"pad\",r,t,e),i=S(\"dataFormat\",r,t,e).toUpperCase(),a=S(\"dilations\",r,t,e);return[n.conv3d(S(\"x\",r,t,e),S(\"filter\",r,t,e),[o[1],o[2],o[3]],s,i,[a[1],a[2],a[3]])]}case\"AvgPool\":{let o=S(\"strides\",r,t,e),s=S(\"pad\",r,t,e),i=S(\"kernelSize\",r,t,e);return[n.avgPool(S(\"x\",r,t,e),[i[1],i[2]],[o[1],o[2]],s)]}case\"MaxPool\":{let o=S(\"strides\",r,t,e),s=S(\"pad\",r,t,e),i=S(\"kernelSize\",r,t,e);return[n.maxPool(S(\"x\",r,t,e),[i[1],i[2]],[o[1],o[2]],s)]}case\"MaxPoolWithArgmax\":{let o=S(\"strides\",r,t,e),s=S(\"pad\",r,t,e),i=S(\"kernelSize\",r,t,e),a=S(\"includeBatchInIndex\",r,t,e),{result:u,indexes:l}=n.maxPoolWithArgmax(S(\"x\",r,t,e),[i[1],i[2]],[o[1],o[2]],s,a);return[u,l]}case\"AvgPool3D\":{let o=S(\"strides\",r,t,e),s=S(\"pad\",r,t,e),i=S(\"kernelSize\",r,t,e);return[n.avgPool3d(S(\"x\",r,t,e),[i[1],i[2],i[3]],[o[1],o[2],o[3]],s)]}case\"MaxPool3D\":{let o=S(\"strides\",r,t,e),s=S(\"pad\",r,t,e),i=S(\"kernelSize\",r,t,e);return[n.maxPool3d(S(\"x\",r,t,e),[i[1],i[2],i[3]],[o[1],o[2],o[3]],s)]}case\"Dilation2D\":{let o=S(\"strides\",r,t,e),s=S(\"pad\",r,t,e),i=S(\"dilations\",r,t,e),a=o[1],u=o[2],l=i[1],c=i[2];return[n.dilation2d(S(\"x\",r,t,e),S(\"filter\",r,t,e),[a,u],s,[l,c],\"NHWC\")]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var jD=(r,t,e,n=ae)=>{switch(r.op){case\"Fill\":{let o=S(\"shape\",r,t,e),s=S(\"dtype\",r,t,e),i=S(\"value\",r,t,e);return[n.fill(o,i,s)]}case\"LinSpace\":{let o=S(\"start\",r,t,e),s=S(\"stop\",r,t,e),i=S(\"num\",r,t,e);return[n.linspace(o,s,i)]}case\"Multinomial\":{let o=S(\"logits\",r,t,e),s=S(\"numSamples\",r,t,e),i=S(\"seed\",r,t,e);return[n.multinomial(o,s,i)]}case\"OneHot\":{let o=S(\"indices\",r,t,e),s=S(\"depth\",r,t,e),i=S(\"onValue\",r,t,e),a=S(\"offValue\",r,t,e),u=S(\"dtype\",r,t,e);return[n.oneHot(o,s,i,a,u)]}case\"Ones\":return[n.ones(S(\"shape\",r,t,e),S(\"dtype\",r,t,e))];case\"OnesLike\":return[n.onesLike(S(\"x\",r,t,e))];case\"RandomStandardNormal\":return[n.randomStandardNormal(S(\"shape\",r,t,e),S(\"dtype\",r,t,e),S(\"seed\",r,t,e))];case\"RandomUniform\":return[n.randomUniform(S(\"shape\",r,t,e),S(\"minval\",r,t,e),S(\"maxval\",r,t,e),S(\"dtype\",r,t,e))];case\"Range\":{let o=S(\"start\",r,t,e),s=S(\"stop\",r,t,e),i=S(\"step\",r,t,e);return[n.range(o,s,i,S(\"dtype\",r,t,e))]}case\"TruncatedNormal\":{let o=S(\"shape\",r,t,e),s=S(\"mean\",r,t,e),i=S(\"stdDev\",r,t,e),a=S(\"seed\",r,t,e);return[n.truncatedNormal(o,s,i,S(\"dtype\",r,t,e),a)]}case\"Zeros\":return[n.zeros(S(\"shape\",r,t,e),S(\"dtype\",r,t,e))];case\"ZerosLike\":return[n.zerosLike(S(\"x\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function mN(r,t,e){let n=S(\"boxes\",r,t,e),o=S(\"scores\",r,t,e),s=S(\"maxOutputSize\",r,t,e),i=S(\"iouThreshold\",r,t,e),a=S(\"scoreThreshold\",r,t,e),u=S(\"softNmsSigma\",r,t,e);return{boxes:n,scores:o,maxOutputSize:s,iouThreshold:i,scoreThreshold:a,softNmsSigma:u}}var XD=async(r,t,e,n,o=ae)=>{switch(r.op){case\"NonMaxSuppressionV5\":{let{boxes:s,scores:i,maxOutputSize:a,iouThreshold:u,scoreThreshold:l,softNmsSigma:c}=mN(r,t,e),p=await o.image.nonMaxSuppressionWithScoreAsync(s,i,a,u,l,c);return[p.selectedIndices,p.selectedScores]}case\"NonMaxSuppressionV4\":{let{boxes:s,scores:i,maxOutputSize:a,iouThreshold:u,scoreThreshold:l}=mN(r,t,e),c=S(\"padToMaxOutputSize\",r,t,e),p=await o.image.nonMaxSuppressionPaddedAsync(s,i,a,u,l,c);return[p.selectedIndices,p.validOutputs]}case\"NonMaxSuppressionV3\":case\"NonMaxSuppressionV2\":{let{boxes:s,scores:i,maxOutputSize:a,iouThreshold:u,scoreThreshold:l}=mN(r,t,e);return[await o.image.nonMaxSuppressionAsync(s,i,a,u,l)]}case\"Where\":{let s=o.cast(S(\"condition\",r,t,e),\"bool\"),i=[await o.whereAsync(s)];return s.dispose(),i}case\"ListDiff\":return o.setdiff1dAsync(S(\"x\",r,t,e),S(\"y\",r,t,e));default:throw TypeError(`Node type ${r.op} is not implemented`)}};var YD=(r,t,e,n=ae)=>{switch(r.op){case\"LowerBound\":{let o=S(\"sortedSequence\",r,t,e),s=S(\"values\",r,t,e);return[n.lowerBound(o,s)]}case\"TopKV2\":{let o=S(\"x\",r,t,e),s=S(\"k\",r,t,e),i=S(\"sorted\",r,t,e),a=n.topk(o,s,i);return[a.values,a.indices]}case\"UpperBound\":{let o=S(\"sortedSequence\",r,t,e),s=S(\"values\",r,t,e);return[n.upperBound(o,s)]}case\"Unique\":{let o=S(\"x\",r,t,e),s=n.unique(o);return[s.values,s.indices]}case\"UniqueV2\":{let o=S(\"x\",r,t,e),s=S(\"axis\",r,t,e),i=n.unique(o,s);return[i.values,i.indices]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var ZD=(r,t,e,n=ae)=>{switch(r.op){case\"Const\":return t[r.name];case\"PlaceholderWithDefault\":let o=S(\"default\",r,t,e);return[br(r.name,t,e)||o];case\"Placeholder\":return[br(r.name,t,e)];case\"Identity\":case\"StopGradient\":case\"FakeQuantWithMinMaxVars\":{let c=S(\"x\",r,t,e);return[Zs(c)]}case\"IdentityN\":return S(\"x\",r,t,e).map(c=>Zs(c));case\"Snapshot\":let s=S(\"x\",r,t,e);return[Zs(s)];case\"Shape\":return[n.tensor1d(S(\"x\",r,t,e).shape,\"int32\")];case\"ShapeN\":return S(\"x\",r,t,e).map(c=>n.tensor1d(c.shape));case\"Size\":return[n.scalar(S(\"x\",r,t,e).size,\"int32\")];case\"Rank\":return[n.scalar(S(\"x\",r,t,e).rank,\"int32\")];case\"NoOp\":return[n.scalar(1)];case\"Print\":let i=S(\"x\",r,t,e),a=S(\"data\",r,t,e),u=S(\"message\",r,t,e),l=S(\"summarize\",r,t,e);console.warn(\"The graph has a tf.print() operation,usually used for debugging, which slows down performance.\"),console.log(u);for(let c=0;ct.dispose()),this.tensorMap.clear(),this.handle.dispose()}size(){return this.tensorMap.size}tensorSize(){return mt(this.size(),\"int32\")}async import(t,e){this.checkKeyAndValueTensor(t,e);let n=await t.data();return this.tensorMap.forEach(o=>o.dispose()),this.tensorMap.clear(),B(()=>{let o=vr(e),s=n.length,i=o.length;y.assert(s===i,()=>`The number of elements doesn't match, keys has ${s} elements, the values has ${i} elements.`);for(let a=0;a{let o=[];for(let s=0;s{switch(r.op){case\"HashTable\":case\"HashTableV2\":{let o=n.getHashTableHandleByName(r.name);if(o!=null)return[o];{let s=S(\"keyDType\",r,t,e),i=S(\"valueDType\",r,t,e),a=new Bb(s,i);return n.addHashTable(r.name,a),[a.handle]}}case\"LookupTableImport\":case\"LookupTableImportV2\":{let o=S(\"tableHandle\",r,t,e,n),s=S(\"keys\",r,t,e),i=S(\"values\",r,t,e);return[await n.getHashTableById(o.id).import(s,i)]}case\"LookupTableFind\":case\"LookupTableFindV2\":{let o=S(\"tableHandle\",r,t,e,n),s=S(\"keys\",r,t,e),i=S(\"defaultValue\",r,t,e);return[await n.getHashTableById(o.id).find(s,i)]}case\"LookupTableSize\":case\"LookupTableSizeV2\":{let o=S(\"tableHandle\",r,t,e,n);return[n.getHashTableById(o.id).tensorSize()]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var QD=(r,t,e,n=ae)=>{switch(r.op){case\"ResizeBilinear\":{let o=S(\"images\",r,t,e),s=S(\"size\",r,t,e),i=S(\"alignCorners\",r,t,e),a=S(\"halfPixelCenters\",r,t,e);return[n.image.resizeBilinear(o,[s[0],s[1]],i,a)]}case\"ResizeNearestNeighbor\":{let o=S(\"images\",r,t,e),s=S(\"size\",r,t,e),i=S(\"alignCorners\",r,t,e),a=S(\"halfPixelCenters\",r,t,e);return[n.image.resizeNearestNeighbor(o,[s[0],s[1]],i,a)]}case\"CropAndResize\":{let o=S(\"image\",r,t,e),s=S(\"boxes\",r,t,e),i=S(\"boxInd\",r,t,e),a=S(\"cropSize\",r,t,e),u=S(\"method\",r,t,e),l=S(\"extrapolationValue\",r,t,e);return[n.image.cropAndResize(o,s,i,a,u,l)]}case\"ImageProjectiveTransformV3\":{let o=S(\"images\",r,t,e),s=S(\"transforms\",r,t,e),i=S(\"outputShape\",r,t,e),a=S(\"fillValue\",r,t,e),u=S(\"interpolation\",r,t,e),l=S(\"fillMode\",r,t,e);return[n.image.transform(o,s,u.toLowerCase(),l.toLowerCase(),a,i)]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var tR=(r,t,e,n=ae)=>{switch(r.op){case\"Equal\":return[n.equal(S(\"a\",r,t,e),S(\"b\",r,t,e))];case\"NotEqual\":return[n.notEqual(S(\"a\",r,t,e),S(\"b\",r,t,e))];case\"Greater\":return[n.greater(S(\"a\",r,t,e),S(\"b\",r,t,e))];case\"GreaterEqual\":return[n.greaterEqual(S(\"a\",r,t,e),S(\"b\",r,t,e))];case\"Less\":return[n.less(S(\"a\",r,t,e),S(\"b\",r,t,e))];case\"LessEqual\":return[n.lessEqual(S(\"a\",r,t,e),S(\"b\",r,t,e))];case\"LogicalAnd\":return[n.logicalAnd(S(\"a\",r,t,e),S(\"b\",r,t,e))];case\"LogicalNot\":return[n.logicalNot(S(\"a\",r,t,e))];case\"LogicalOr\":return[n.logicalOr(S(\"a\",r,t,e),S(\"b\",r,t,e))];case\"Select\":case\"SelectV2\":return[n.where(S(\"condition\",r,t,e),S(\"a\",r,t,e),S(\"b\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var eR=(r,t,e,n=ae)=>{switch(r.op){case\"BatchMatMul\":case\"BatchMatMulV2\":case\"MatMul\":return[n.matMul(S(\"a\",r,t,e),S(\"b\",r,t,e),S(\"transposeA\",r,t,e),S(\"transposeB\",r,t,e))];case\"Einsum\":return[n.einsum(S(\"equation\",r,t,e),...S(\"tensors\",r,t,e))];case\"Transpose\":return[n.transpose(S(\"x\",r,t,e),S(\"perm\",r,t,e))];case\"_FusedMatMul\":let[o,s]=S(\"fusedOps\",r,t,e),i=o===\"biasadd\",a=s===\"prelu\",u=S(\"numArgs\",r,t,e),l=S(\"leakyreluAlpha\",r,t,e);if(i){if(a&&u!==2)throw new Error(\"Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.\");if(!a&&u!==1)throw new Error(\"Fused MatMul with BiasAdd must have one extra argument: bias.\")}let[c,p]=S(\"args\",r,t,e);return[n.fused.matMul({a:S(\"a\",r,t,e),b:S(\"b\",r,t,e),transposeA:S(\"transposeA\",r,t,e),transposeB:S(\"transposeB\",r,t,e),bias:c,activation:s,preluActivationWeights:p,leakyreluAlpha:l})];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var rR=(r,t,e,n=ae)=>{switch(r.op){case\"EuclideanNorm\":return[n.euclideanNorm(S(\"x\",r,t,e),S(\"axis\",r,t,e),S(\"keepDims\",r,t,e))];case\"FusedBatchNorm\":case\"FusedBatchNormV2\":return[n.batchNorm(S(\"x\",r,t,e),S(\"mean\",r,t,e),S(\"variance\",r,t,e),S(\"offset\",r,t,e),S(\"scale\",r,t,e),S(\"epsilon\",r,t,e))];case\"FusedBatchNormV3\":return[n.batchNorm(S(\"x\",r,t,e),S(\"mean\",r,t,e),S(\"variance\",r,t,e),S(\"offset\",r,t,e),S(\"scale\",r,t,e),S(\"epsilon\",r,t,e))];case\"LRN\":return[n.localResponseNormalization(S(\"x\",r,t,e),S(\"radius\",r,t,e),S(\"bias\",r,t,e),S(\"alpha\",r,t,e),S(\"beta\",r,t,e))];case\"Softmax\":return[n.softmax(S(\"x\",r,t,e))];case\"LogSoftmax\":return[n.logSoftmax(S(\"x\",r,t,e))];case\"SparseToDense\":return[n.sparseToDense(S(\"sparseIndices\",r,t,e),S(\"outputShape\",r,t,e),S(\"sparseValues\",r,t,e),S(\"defaultValue\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var nR=(r,t,e,n=ae)=>{switch(r.op){case\"Max\":{let a=S(\"axis\",r,t,e),u=S(\"keepDims\",r,t,e);return[n.max(S(\"x\",r,t,e),a,u)]}case\"Mean\":{let a=S(\"axis\",r,t,e),u=S(\"keepDims\",r,t,e);return[n.mean(S(\"x\",r,t,e),a,u)]}case\"Min\":{let a=S(\"axis\",r,t,e),u=S(\"keepDims\",r,t,e);return[n.min(S(\"x\",r,t,e),a,u)]}case\"Sum\":{let a=S(\"axis\",r,t,e),u=S(\"keepDims\",r,t,e);return[n.sum(S(\"x\",r,t,e),a,u)]}case\"All\":{let a=S(\"axis\",r,t,e),u=S(\"keepDims\",r,t,e);return[n.all(S(\"x\",r,t,e),a,u)]}case\"Any\":{let a=S(\"axis\",r,t,e),u=S(\"keepDims\",r,t,e);return[n.any(S(\"x\",r,t,e),a,u)]}case\"ArgMax\":{let a=S(\"axis\",r,t,e);return[n.argMax(S(\"x\",r,t,e),a)]}case\"ArgMin\":{let a=S(\"axis\",r,t,e);return[n.argMin(S(\"x\",r,t,e),a)]}case\"Prod\":{let a=S(\"axis\",r,t,e),u=S(\"keepDims\",r,t,e);return[n.prod(S(\"x\",r,t,e),a,u)]}case\"Cumprod\":{let a=S(\"axis\",r,t,e),u=S(\"exclusive\",r,t,e),l=S(\"reverse\",r,t,e);return[n.cumprod(S(\"x\",r,t,e),a,u,l)]}case\"Cumsum\":{let a=S(\"axis\",r,t,e),u=S(\"exclusive\",r,t,e),l=S(\"reverse\",r,t,e);return[n.cumsum(S(\"x\",r,t,e),a,u,l)]}case\"Bincount\":let o=S(\"x\",r,t,e),s=S(\"weights\",r,t,e),i=S(\"size\",r,t,e);return[n.bincount(o,s,i)];case\"DenseBincount\":{let a=S(\"x\",r,t,e),u=S(\"weights\",r,t,e),l=S(\"size\",r,t,e),c=S(\"binaryOutput\",r,t,e);return[n.denseBincount(a,u,l,c)]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var oR=(r,t,e,n=ae)=>{switch(r.op){case\"ConcatV2\":case\"Concat\":{let o=S(\"n\",r,t,e),s=S(\"axis\",r,t,e),i=S(\"tensors\",r,t,e);return i=i.slice(0,o),[n.concat(i,s)]}case\"Gather\":{let o=S(\"x\",r,t,e),s=S(\"indices\",r,t,e);return[n.gather(o,n.cast(s,\"int32\"),0)]}case\"GatherV2\":{let o=S(\"axis\",r,t,e),s=S(\"batchDims\",r,t,e),i=S(\"x\",r,t,e),a=S(\"indices\",r,t,e);return[n.gather(i,n.cast(a,\"int32\"),o,s)]}case\"Reverse\":{let o=S(\"dims\",r,t,e),s=[];for(let a=0;a{let o=S(\"axis\",r,t,e),s=S(\"tensors\",r,t,e),i=s[0].shape,a=n.squeeze(s[0]).shape,u=s.map(l=>{let c=y.arraysEqual(l.shape,i);if(!c&&!y.arraysEqual(n.squeeze(l).shape,a))throw new Error(\"the input tensors shape does not match\");return c?l:n.reshape(l,i)});return[n.stack(u,o)]});case\"Unpack\":{let o=S(\"axis\",r,t,e),s=S(\"tensor\",r,t,e);return n.unstack(s,o)}case\"Tile\":{let o=S(\"reps\",r,t,e);return[n.tile(S(\"x\",r,t,e),o)]}case\"Split\":case\"SplitV\":{let o=S(\"axis\",r,t,e),s=S(\"numOrSizeSplits\",r,t,e),i=S(\"x\",r,t,e);return n.split(i,s,o)}case\"ScatterNd\":{let o=S(\"indices\",r,t,e),s=S(\"values\",r,t,e),i=S(\"shape\",r,t,e);return[n.scatterND(o,s,i)]}case\"GatherNd\":{let o=S(\"x\",r,t,e),s=S(\"indices\",r,t,e);return[n.gatherND(o,s)]}case\"SparseToDense\":{let o=S(\"sparseIndices\",r,t,e),s=S(\"outputShape\",r,t,e),i=S(\"sparseValues\",r,t,e),a=S(\"defaultValue\",r,t,e);return[n.sparseToDense(o,i,s,i.dtype===a.dtype?a:n.cast(a,i.dtype))]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var sR=(r,t,e,n=ae)=>{switch(r.op){case\"SparseFillEmptyRows\":{let{outputIndices:o,outputValues:s,emptyRowIndicator:i,reverseIndexMap:a}=n.sparse.sparseFillEmptyRows(S(\"indices\",r,t,e),S(\"values\",r,t,e),S(\"denseShape\",r,t,e),S(\"defaultValue\",r,t,e));return[o,s,i,a]}case\"SparseReshape\":{let{outputIndices:o,outputShape:s}=n.sparse.sparseReshape(S(\"inputIndices\",r,t,e),S(\"inputShape\",r,t,e),S(\"newShape\",r,t,e));return[o,s]}case\"SparseSegmentMean\":return[n.sparse.sparseSegmentMean(S(\"data\",r,t,e),S(\"indices\",r,t,e),S(\"segmentIds\",r,t,e))];case\"SparseSegmentSum\":return[n.sparse.sparseSegmentSum(S(\"data\",r,t,e),S(\"indices\",r,t,e),S(\"segmentIds\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var iR=(r,t,e,n=ae)=>{switch(r.op){case\"FFT\":return[n.fft(S(\"x\",r,t,e))];case\"IFFT\":return[n.ifft(S(\"x\",r,t,e))];case\"RFFT\":return[n.rfft(S(\"x\",r,t,e))];case\"IRFFT\":return[n.irfft(S(\"x\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var aR=(r,t,e,n=ae)=>{switch(r.op){case\"StringNGrams\":{let{nGrams:o,nGramsSplits:s}=n.string.stringNGrams(S(\"data\",r,t,e),S(\"dataSplits\",r,t,e),S(\"separator\",r,t,e),S(\"nGramWidths\",r,t,e),S(\"leftPad\",r,t,e),S(\"rightPad\",r,t,e),S(\"padWidth\",r,t,e),S(\"preserveShortSequences\",r,t,e));return[o,s]}case\"StringSplit\":{let{indices:o,values:s,shape:i}=n.string.stringSplit(S(\"input\",r,t,e),S(\"delimiter\",r,t,e),S(\"skipEmpty\",r,t,e));return[o,s,i]}case\"StringToHashBucketFast\":return[n.string.stringToHashBucketFast(S(\"input\",r,t,e),S(\"numBuckets\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var lR=(r,t,e,n=ae)=>{switch(r.op){case\"Cast\":return[n.cast(S(\"x\",r,t,e),S(\"dtype\",r,t,e))];case\"ExpandDims\":{let o=S(\"axis\",r,t,e);return[n.expandDims(S(\"x\",r,t,e),o)]}case\"Squeeze\":{let o=S(\"axis\",r,t,e);return[n.squeeze(S(\"x\",r,t,e),o)]}case\"Reshape\":return[n.reshape(S(\"x\",r,t,e),S(\"shape\",r,t,e))];case\"MirrorPad\":return[n.mirrorPad(S(\"x\",r,t,e),S(\"padding\",r,t,e),S(\"mode\",r,t,e))];case\"PadV2\":case\"Pad\":return[n.pad(S(\"x\",r,t,e),S(\"padding\",r,t,e),S(\"constantValue\",r,t,e))];case\"SpaceToBatchND\":{let o=S(\"blockShape\",r,t,e),s=S(\"paddings\",r,t,e);return[n.spaceToBatchND(S(\"x\",r,t,e),o,s)]}case\"BatchToSpaceND\":{let o=S(\"blockShape\",r,t,e),s=S(\"crops\",r,t,e);return[n.batchToSpaceND(S(\"x\",r,t,e),o,s)]}case\"DepthToSpace\":{let o=S(\"blockSize\",r,t,e),s=S(\"dataFormat\",r,t,e).toUpperCase();return[n.depthToSpace(S(\"x\",r,t,e),o,s)]}case\"BroadcastTo\":return[n.broadcastTo(S(\"x\",r,t,e),S(\"shape\",r,t,e))];case\"BroadcastArgs\":return[n.broadcastArgs(S(\"s0\",r,t,e),S(\"s1\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function fN(r,t,e,n,o=B){let s=((i,a,u)=>{switch(i.category){case\"arithmetic\":return o(()=>MD(i,a,u));case\"basic_math\":return o(()=>zD(i,a,u));case\"control\":return HD(i,a,u);case\"convolution\":return o(()=>KD(i,a,u));case\"creation\":return o(()=>jD(i,a,u));case\"dynamic\":return XD(i,a,u);case\"evaluation\":return o(()=>YD(i,a,u));case\"image\":return o(()=>QD(i,a,u));case\"graph\":return o(()=>ZD(i,a,u));case\"logical\":return o(()=>tR(i,a,u));case\"matrices\":return o(()=>eR(i,a,u));case\"normalization\":return o(()=>rR(i,a,u));case\"reduction\":return o(()=>nR(i,a,u));case\"slice_join\":return o(()=>oR(i,a,u));case\"sparse\":return o(()=>sR(i,a,u));case\"spectral\":return o(()=>iR(i,a,u));case\"string\":return o(()=>aR(i,a,u));case\"transformation\":return o(()=>lR(i,a,u));case\"hash_table\":return JD(i,a,u,n);case\"custom\":let l=Nb(i.op);if(l&&l.customExecutor)return l.customExecutor(new Lb(i,a,u));throw TypeError(`Custom op ${i.op} is not registered.`);default:throw TypeError(`Unknown op '${i.op}'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()`)}})(r,t,e);return y.isPromise(s)?s.then(i=>[].concat(i)):[].concat(s)}var Oh=class{constructor(t={},e={},n={},o={}){this.weightMap=t,this.tensorArrayMap=e,this.tensorListMap=n,this.functionMap=o,this.rootContext={id:0,frameName:\"\",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}newFrame(t,e){return{id:t,frameName:e,iterationId:0}}set currentContext(t){this.contexts!==t&&(this.contexts=t,this.generateCurrentContextIds())}get currentContext(){return this.contexts}get currentContextId(){return this._currentContextIds[0]}get currentContextIds(){return this._currentContextIds}generateCurrentContextIds(){let t=[];for(let e=0;ee.id===0&&e.iterationId===0?\"\":`${e.frameName}-${e.iterationId}`).join(\"/\"):\"\"}enterFrame(t){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,t)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}exitFrame(){if(this.contexts&&this.contexts.length>1)this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift();else throw new Error(\"Cannot exit frame, the context is empty\")}nextIteration(){if(this.contexts&&this.contexts.length>0){this.contexts=this.contexts.slice(),this.lastId++;let t=Object.assign({},this.contexts[this.contexts.length-1]);t.iterationId+=1,t.id=this.lastId,this.contexts.splice(-1,1,t),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}else throw new Error(\"Cannot increase frame iteration, the context is empty\")}getWeight(t){return this.weightMap[t]}addTensorArray(t){this.tensorArrayMap[t.id]=t}getTensorArray(t){return this.tensorArrayMap[t]}addTensorList(t){this.tensorListMap[t.id]=t}getTensorList(t){return this.tensorListMap[t]}dispose(t){for(let e in this.tensorArrayMap)this.tensorArrayMap[e].clearAndClose(t);for(let e in this.tensorListMap)this.tensorListMap[e].clearAndClose(t)}};function dN(r,t,e,n){let o=new Set,s=[],i=null,a=null,u=new Set,l=Object.keys(r).map(m=>xn(m)[0]),c=[];n!=null&&(c=n.map(m=>xn(m.name)[0]));let p=[...t];for(;p.length>0;){let m=p.pop();if((hN(m)||R7(m)||F7(m))&&i==null&&(i=m,a=i.children.map(f=>f.name).filter(f=>o.has(f))),o.add(m.name),e[m.name]==null&&l.indexOf(m.name)===-1&&c.indexOf(m.name)===-1){if(m.inputs.length===0){s.push(m.name);continue}m.inputs.forEach(f=>{u.has(f.name)||(u.add(f.name),p.push(f))})}}return{inputs:r,outputs:t,usedNodes:o,missingInputs:s,dynamicNode:i,syncInputs:a}}function uR(r,t,e){let{usedNodes:n,inputs:o}=e,s=[],i=Object.keys(o).map(c=>xn(c)[0]).map(c=>r.nodes[c]),a=r.initNodes;i.forEach(c=>{n.has(c.name)&&s.push(c)}),r.weights.forEach(c=>{n.has(c.name)&&s.push(c)}),a!=null&&a.forEach(c=>{n.has(c.name)&&s.push(c)});let u=new Set,l=[];for(;s.length>0;){let c=s.pop();u.add(c.name),t[c.name]||l.push(c),c.children.forEach(p=>{!u.has(p.name)&&n.has(p.name)&&p.inputs.every(m=>u.has(m.name))&&s.push(p)})}return l}var A7=[\"Switch\",\"Merge\",\"Enter\",\"Exit\",\"NextIteration\",\"StatelessIf\",\"StatelessWhile\",\"if\",\"While\"],$7=[\"NonMaxSuppressionV2\",\"NonMaxSuppressionV3\",\"NonMaxSuppressionV5\",\"Where\"],D7=[\"HashTable\",\"HashTableV2\",\"LookupTableImport\",\"LookupTableImportV2\",\"LookupTableFind\",\"LookupTableFindV2\",\"LookupTableSize\",\"LookupTableSizeV2\"];function hN(r){return A7.indexOf(r.op)>=0}function R7(r){return $7.indexOf(r.op)>=0}function F7(r){return D7.indexOf(r.op)>=0}var Nc=class{constructor(t,e){this.graph=t,this.parent=e,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=\",\",this._functions={},this._functionExecutorMap={},this.intermediateTensors={},this.keepTensorForDebug=!1,this._outputs=t.outputs,this._inputs=t.inputs,this._initNodes=t.initNodes,this._signature=t.signature,this._functions=t.functions,t.functions!=null&&Object.keys(t.functions).forEach(n=>{this._functionExecutorMap[n]=new Nc(t.functions[n],this)})}get weightIds(){return this.parent?this.parent.weightIds:this._weightIds}get functionExecutorMap(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}get weightMap(){return this.parent?this.parent.weightMap:this._weightMap}set weightMap(t){let e=Object.keys(t).map(n=>t[n].map(o=>o.id));this._weightIds=[].concat(...e),this._weightMap=t}set resourceManager(t){this._resourceManager=t}get inputs(){return this._inputs.map(t=>({name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}))}get outputs(){return this._outputs.map(t=>({name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}))}get inputNodes(){return this._inputs.map(t=>t.signatureKey||t.name)}get outputNodes(){return this._outputs.map(t=>{let e=t.signatureKey||t.name;return t.defaultOutput?`${e}:${t.defaultOutput}`:e})}get functions(){return Object.keys(this._functions).reduce((t,e)=>(t[e]=this._functions[e].signature,t),{})}getCompilationKey(t,e){let n=t.map(s=>s.name).sort(),o=e.map(s=>s.name).sort();return n.join(this.SEPERATOR)+\"--\"+o.join(this.SEPERATOR)}compile(t,e){let n=dN(t,e,this.weightMap,this._initNodes),{missingInputs:o,dynamicNode:s,syncInputs:i}=n;if(s!=null)throw new Error(`This execution contains the node '${s.name}', which has the dynamic op '${s.op}'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs [${i}]`);if(o.length>0){let a=e.map(l=>l.name),u=Object.keys(t);throw new Error(`Cannot compute the outputs [${a}] from the provided inputs [${u}]. Missing the following inputs: [${o}]`)}return uR(this.graph,this.weightMap,n)}execute(t,e){t=this.mapInputs(t);let n=Object.keys(t).sort();this.checkInputs(t),this.checkInputShapeAndType(t),e=this.mapOutputs(e),this.checkOutputs(e);let o=n.map(p=>this.graph.nodes[xn(p)[0]]),s=e.map(p=>xn(p)[0]),i=s.map(p=>this.graph.nodes[p]);this.resetIntermediateTensors(),i.length===0&&(i=this._outputs);let a=this.getCompilationKey(o,i),u=this.compiledMap.get(a);u==null&&(u=this.compile(t,i),this.compiledMap.set(a,u));let l={},c={};return B(()=>{let p=new Oh(this.weightMap,l,c,this.functionExecutorMap),m=Object.assign({},this.weightMap);Object.keys(t).forEach(h=>{let[g,x]=xn(h),b=[];b[x]=t[h],m[g]=b});let f=this.getFrozenTensorIds(m),d={};for(let h=0;hbr(h,m,p))})}getFrozenTensorIds(t){let e=[].concat.apply([],Object.keys(t).map(n=>t[n]).map(n=>n.map(o=>o.id)));return new Set(e)}checkTensorForDisposal(t,e,n,o,s,i,a){e.category===\"control\"||i.indexOf(t)!==-1||(n[t].forEach(u=>{u!=null&&(a[u.id]=(a[u.id]||0)+e.children.length)}),e.inputs.forEach(u=>{if(u.category!==\"control\"){let l=FD(u.name,n,o);l!=null&&l.forEach(c=>{if(c&&!c.kept&&!s.has(c.id)){let p=a[c.id];if(p===1){if(!this.keepTensorForDebug)c.dispose();else{let[m,f]=_o(e.name,o);this.intermediateTensors[m]?this.intermediateTensors[m][f]=c:(this.intermediateTensors[m]=[],this.intermediateTensors[m][f]=c)}delete a[c.id]}else p!=null&&a[c.id]--}})}}))}async executeAsync(t,e){return this._executeAsync(t,e)}disposeIntermediateTensors(){!this.intermediateTensors||(Object.keys(this.intermediateTensors).forEach(t=>this.intermediateTensors[t].forEach(e=>e.dispose())),this.disposeTensorsMap())}disposeTensorsMap(){!this.tensorsMap||Object.keys(this.tensorsMap).forEach(t=>{this.tensorsMap[t].forEach(n=>{n&&!n.kept&&!n.isDisposed&&!this.keepIds.has(n.id)&&n.dispose()})})}getIntermediateTensors(){return this.tensorsMap}resetIntermediateTensors(){for(let t in this.intermediateTensors)this.intermediateTensors[t].forEach(e=>e.dispose()),delete this.intermediateTensors[t]}async _executeAsync(t,e,n=!1,o={},s={}){n||(t=this.mapInputs(t),this.checkInputs(t),this.checkInputShapeAndType(t),e=this.mapOutputs(e),this.checkOutputs(e));try{this.keepTensorForDebug=z().getBool(\"KEEP_INTERMEDIATE_TENSORS\")}catch(c){console.warn(c.message)}this.resetIntermediateTensors();let i=new Oh(this.weightMap,o,s,this.functionExecutorMap);this.tensorsMap=await this.executeWithControlFlow(t,i,e,n);let a=e.map(c=>br(c,this.tensorsMap,i)),u=a.map(c=>c.id),l=Object.keys(t).map(c=>t[c].id);return this.keepIds=new Set([...u,...l,...this.weightIds]),this.keepTensorForDebug||this.disposeTensorsMap(),this.parent==null&&i.dispose(this.keepIds),a}async executeFunctionAsync(t,e,n){let o=t.reduce((s,i,a)=>(s[this.inputs[a].name]=i,s),{});return this._executeAsync(o,this.outputNodes,!0,e,n)}async executeWithControlFlow(t,e,n,o){let s=Object.keys(t),i=s.map(w=>this.graph.nodes[xn(w)[0]]),a=n.map(w=>xn(w)[0]),u=a.map(w=>this.graph.nodes[w]);u.length===0&&(u=this._outputs);let{usedNodes:l,missingInputs:c,dynamicNode:p,syncInputs:m}=dN(t,u,this.weightMap,this._initNodes),f=[...i,...this.graph.weights,...this._initNodes||[]].map(w=>({node:w,contexts:e.currentContext})),d=Object.assign({},this.weightMap);Object.keys(t).forEach(w=>{let[C,N]=xn(w),_=[];_[N]=t[w],d[C]=_});let h={},g=this.getFrozenTensorIds(d),x={};for(;f.length>0;){let w=this.processStack(i,f,e,d,x,g,a,h,l);await Promise.all(w)}p==null&&!o&&console.warn(\"This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead.\");let b=u.filter(w=>!hN(w)&&!br(w.name,d,e)).map(w=>w.name);if(b.length>0){let w=\"\";throw p!=null&&(w=`Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs [${m}]`),new Error(`Cannot compute the outputs [${b}] from the provided inputs [${s}]. Consider providing the following inputs: [${c}]. ${w}`)}return d}processStack(t,e,n,o,s,i,a,u,l){let c=[];for(;e.length>0;){let p=e.pop();n.currentContext=p.contexts;let m=\"\";if(p.node.op===\"Enter\"&&S(\"isConstant\",p.node,o,n)&&([m]=_o(p.node.name,n)),o[p.node.name]==null){let f=fN(p.node,o,n,this._resourceManager);m||([m]=_o(p.node.name,n));let d=n.currentContext;y.isPromise(f)?c.push(f.then(h=>(o[m]=h,n.currentContext=d,this.checkTensorForDisposal(m,p.node,o,n,i,a,u),this.processChildNodes(p.node,e,n,o,s,l),h))):(o[m]=f,this.checkTensorForDisposal(m,p.node,o,n,i,a,u),this.processChildNodes(p.node,e,n,o,s,l))}else this.processChildNodes(p.node,e,n,o,s,l)}return c}processChildNodes(t,e,n,o,s,i){t.children.forEach(a=>{let[u]=_o(a.name,n);s[u]||!i.has(a.name)||(a.op===\"Merge\"?a.inputNames.some(l=>!!br(l,o,n))&&(s[u]=!0,e.push({contexts:n.currentContext,node:a})):a.inputNames.every(l=>!!br(l,o,n))&&(s[u]=!0,e.push({contexts:n.currentContext,node:a})))})}dispose(){Object.keys(this.weightMap).forEach(t=>this.weightMap[t].forEach(e=>e.dispose()))}checkInputShapeAndType(t){Object.keys(t).forEach(e=>{let n=t[e],[o]=xn(e),s=this.graph.nodes[o];if(s.attrParams.shape&&s.attrParams.shape.value){let i=s.attrParams.shape.value,a=i.length===n.shape.length&&n.shape.every((u,l)=>i[l]===-1||i[l]===u);y.assert(a,()=>`The shape of dict['${s.name}'] provided in model.execute(dict) must be [${i}], but was [${n.shape}]`)}s.attrParams.dtype&&s.attrParams.dtype.value&&y.assert(n.dtype===s.attrParams.dtype.value,()=>`The dtype of dict['${s.name}'] provided in model.execute(dict) must be ${s.attrParams.dtype.value}, but was ${n.dtype}`)})}mapInputs(t){let e={};for(let n in t)if(this._signature!=null&&this._signature.inputs!=null&&this._signature.inputs[n]!=null){let o=this._signature.inputs[n];e[o.name]=t[n]}else e[n]=t[n];return e}checkInputs(t){let e=Object.keys(t).filter(n=>{let[o]=xn(n);return this.graph.nodes[o]==null});if(e.length>0)throw new Error(`The dict provided in model.execute(dict) has keys: [${e}] that are not part of graph`)}mapOutputs(t){return t.map(e=>this._signature!=null&&this._signature.outputs!=null&&this._signature.outputs[e]!=null?this._signature.outputs[e].name:e,{})}checkOutputs(t){t.forEach(e=>{let[n]=xn(e);if(!this.graph.nodes[n])throw new Error(`The output '${e}' is not found in the graph`)})}};var Vb=class{constructor(t={},e={}){this.hashTableNameToHandle=t,this.hashTableMap=e}addHashTable(t,e){this.hashTableNameToHandle[t]=e.handle,this.hashTableMap[e.id]=e}getHashTableHandleByName(t){return this.hashTableNameToHandle[t]}getHashTableById(t){return this.hashTableMap[t]}dispose(){for(let t in this.hashTableMap)this.hashTableMap[t].clearAndClose(),delete this.hashTableMap[t];for(let t in this.hashTableNameToHandle)this.hashTableNameToHandle[t].dispose(),delete this.hashTableNameToHandle[t]}};var O7=\"?tfjs-format=file\",P7=\"model.json\",Ph=class{constructor(t,e={},n=_r){this.modelUrl=t,this.loadOptions=e,this.version=\"n/a\",this.io=n,e==null&&(this.loadOptions={}),this.resourceManager=new Vb}get modelVersion(){return this.version}get inputNodes(){return this.executor.inputNodes}get outputNodes(){return this.executor.outputNodes}get inputs(){return this.executor.inputs}get outputs(){return this.executor.outputs}get weights(){return this.executor.weightMap}get metadata(){return this.artifacts.userDefinedMetadata}get modelSignature(){return this.signature}get modelStructuredOutputKeys(){return this.structuredOutputKeys}findIOHandler(){let t=this.modelUrl;if(t.load!=null)this.handler=t;else if(this.loadOptions.requestInit!=null)this.handler=this.io.browserHTTPRequest(t,this.loadOptions);else{let e=this.io.getLoadHandlers(t,this.loadOptions);if(e.length===0)e.push(this.io.browserHTTPRequest(t,this.loadOptions));else if(e.length>1)throw new Error(`Found more than one (${e.length}) load handlers for URL '${[t]}'`);this.handler=e[0]}}load(){if(this.findIOHandler(),this.handler.load==null)throw new Error(\"Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.\");let t=this.handler.load();return y.isPromise(t)?t.then(e=>this.loadSync(e)):this.loadSync(t)}loadSync(t){this.artifacts=t;let e=this.artifacts.modelTopology,n=this.artifacts.signature;if(this.artifacts.userDefinedMetadata!=null){let s=this.artifacts.userDefinedMetadata;s.signature!=null&&(n=s.signature),s.structuredOutputKeys!=null&&(this.structuredOutputKeys=s.structuredOutputKeys)}this.signature=n,this.version=`${e.versions.producer}.${e.versions.minConsumer}`;let o=this.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new Nc(Fh.Instance.transformGraph(e,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(o),this.executor.resourceManager=this.resourceManager,t.modelInitializer!=null&&t.modelInitializer.node!=null){let s=Fh.Instance.transformGraph(t.modelInitializer);this.initializer=new Nc(s),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializerSignature=t.initializerSignature}return!0}async save(t,e){if(typeof t==\"string\"){let n=this.io.getSaveHandlers(t);if(n.length===0)throw new Error(`Cannot find any save handlers for URL '${t}'`);if(n.length>1)throw new Error(`Found more than one (${n.length}) save handlers for URL '${t}'`);t=n[0]}if(t.save==null)throw new Error(\"GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.\");return t.save(this.artifacts)}predict(t,e){let n=this.execute(t,this.outputNodes);if(this.structuredOutputKeys){let o=n instanceof Ft?[n]:n,s={};return o.forEach((i,a)=>s[this.structuredOutputKeys[a]]=i),s}return n}normalizeInputs(t){if(!(t instanceof Ft)&&!Array.isArray(t)){if(this.signature!=null&&this.signature.inputs!=null)for(let o in this.signature.inputs){let s=this.signature.inputs[o];s.resourceId!=null&&(t[o]=this.resourceIdToCapturedInput[s.resourceId])}return t}t=Array.isArray(t)?t:[t];let e=Object.keys(this.resourceIdToCapturedInput).length;if(t.length+e!==this.inputNodes.length)throw new Error(`Input tensor count mismatch, the graph model has ${this.inputNodes.length-e} non-resource placeholders, while there are ${t.length} input tensors provided.`);let n=0;return this.inputNodes.reduce((o,s)=>{let i=this.signature?this.signature.inputs[s]:null;return i!=null&&i.resourceId!=null?o[s]=this.resourceIdToCapturedInput[i.resourceId]:o[s]=t[n++],o},{})}normalizeOutputs(t){return t=t||this.outputNodes,Array.isArray(t)?t:[t]}executeInitializerGraph(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.execute({},[]):this.initializer.execute({},Object.keys(this.initializerSignature.outputs))}async executeInitializerGraphAsync(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.executeAsync({},[]):this.initializer.executeAsync({},Object.keys(this.initializerSignature.outputs))}setResourceIdToCapturedInput(t){if(this.resourceIdToCapturedInput={},this.initializerSignature){let e=Object.keys(this.initializerSignature.outputs);for(let n=0;n1?n:n[0]}async executeAsync(t,e){this.resourceIdToCapturedInput==null&&this.setResourceIdToCapturedInput(await this.executeInitializerGraphAsync()),t=this.normalizeInputs(t),e=this.normalizeOutputs(e);let n=await this.executor.executeAsync(t,e);return n.length>1?n:n[0]}getIntermediateTensors(){return this.executor.getIntermediateTensors()}disposeIntermediateTensors(){this.executor.disposeIntermediateTensors()}convertTensorMapToTensorsMap(t){return Object.keys(t).reduce((e,n)=>(e[n]=[t[n]],e),{})}dispose(){this.executor.dispose(),this.initializer&&(this.initializer.dispose(),this.resourceIdToCapturedInput&&vt(this.resourceIdToCapturedInput)),this.resourceManager.dispose()}};async function L7(r,t={},e=_r){if(r==null)throw new Error(\"modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model\");t==null&&(t={}),t.fromTFHub&&typeof r==\"string\"&&(r=z7(r));let n=new Ph(r,t,e);return await n.load(),n}function M7(r){if(r==null)throw new Error(\"modelUrl in loadGraphModelSync() cannot be null. Please provide model artifacts or an IOHandler that loads the model\");let t;if(r instanceof Array){let[n,o]=r;if(!n)throw new Error(\"modelJSON must be the first element of the array\");if(!o||!(o instanceof ArrayBuffer))throw new Error(\"An ArrayBuffer of weights must be the second element of the array\");if(!(\"modelTopology\"in n))throw new Error(\"Model JSON is missing 'modelTopology'\");if(!(\"weightsManifest\"in n))throw new Error(\"Model JSON is missing 'weightsManifest'\");let s=_r.getWeightSpecs(n.weightsManifest),i=_r.getModelArtifactsForJSONSync(n,s,o);t=_r.fromMemorySync(i)}else if(\"load\"in r)t=r;else if(\"modelTopology\"in r&&\"weightSpecs\"in r&&\"weightData\"in r)t=_r.fromMemorySync(r);else throw new Error(\"Unknown model format\");let e=new Ph(t);return e.load(),e}function z7(r){return r.endsWith(\"/\")||(r=r+\"/\"),`${r}${P7}${O7}`}var cR=\"4.0.0\";var AR={};Wt(AR,{CSVDataset:()=>Yf,Dataset:()=>Js,FileDataSource:()=>ed,TextLineDataset:()=>Xf,URLDataSource:()=>rd,array:()=>wR,csv:()=>NR,func:()=>TR,generator:()=>kR,microphone:()=>_R,version_data:()=>PN,webcam:()=>ER,zip:()=>CR});var bR=Tl(fh());var gR=Tl(fh());function pR(r,t){return Gb(r,t)}function Gb(r,t,e=new Map,n=new Set){if(r==null)return null;if(typeof Blob==\"function\"&&r instanceof Blob)return r.slice();if(n.has(r))throw new Error(\"Circular references are not supported.\");if(e.has(r))return e.get(r);let o=t(r);if(o.recurse&&o.value!==null)throw new Error(\"A deep map function may not return both a value and recurse=true.\");if(o.recurse)if(vu(r)){let s=Array.isArray(r)?[]:{};n.add(r);for(let i in r){let a=r[i],u=Gb(a,t,e,n);s[i]=u}return n.delete(r),r.__proto__&&(s.__proto__=r.__proto__),s}else throw new Error(`Can't recurse into non-iterable type: ${r}`);else return e.set(r,o.value),o.value}function mR(r,t=xN){return fR(r,t)}function fR(r,t,e=new Set){let n=r[0];if(e.has(n))throw new Error(\"Circular references are not supported.\");let o=t(r);if(o.recurse&&o.value!==null)throw new Error(\"A deep zip function may not return both a value and recurse=true.\");if(o.recurse)if(vu(n)){let s=Array.isArray(n)?[]:{};e.add(n);for(let i in n){let a=r.map(l=>l[i]),u=fR(a,t,e);s[i]=u}return e.delete(n),s}else throw new Error(`Can't recurse into non-iterable type: ${n}`);else return o.value}function xN(r){return r===null?null:vu(r[0])?{value:null,recurse:!0}:{value:r,recurse:!1}}async function Wb(r,t){let e=new Map;Gb(r,t,e);for(let o of Array.from(e.keys())){let s=e.get(o);if(y.isPromise(s)){let i=await s;e.set(o,i)}}return Gb(r,t,e)}function vu(r){let t=!1;if(z().get(\"IS_BROWSER\"))t=r instanceof TextDecoder;else{let{StringDecoder:e}=gN();t=r instanceof e}return r!=null&&!ArrayBuffer.isView(r)&&(Array.isArray(r)||typeof r==\"object\"&&!(r instanceof Ft)&&!(r instanceof Promise)&&!t)}function dR(r){return r==null||B7(r)||Array.isArray(r)||typeof r==\"object\"&&r instanceof Ft||y.isTypedArray(r)}function B7(r){return r===null||typeof r!=\"object\"&&typeof r!=\"function\"}function hR(r){return pR(r,V7)}function V7(r){return r instanceof Ft?{value:r.clone(),recurse:!1}:vu(r)?{value:null,recurse:!0}:{value:r,recurse:!1}}var jf=class{constructor(t){if(this.capacity=t,this.begin=0,this.end=0,t==null)throw new RangeError(\"Can't create a ring buffer of unknown capacity.\");if(t<1)throw new RangeError(\"Can't create ring buffer of capacity < 1.\");this.data=new Array(t),this.doubledCapacity=2*t}wrap(t){for(;t<0;)t+=this.doubledCapacity;return t%this.doubledCapacity}get(t){if(t<0)throw new RangeError(\"Can't get item at a negative index.\");return this.data[t%this.capacity]}set(t,e){if(t<0)throw new RangeError(\"Can't set item at a negative index.\");this.data[t%this.capacity]=e}length(){let t=this.end-this.begin;return t<0&&(t=this.doubledCapacity+t),t}isFull(){return this.length()===this.capacity}isEmpty(){return this.length()===0}push(t){if(this.isFull())throw new RangeError(\"Ring buffer is full.\");this.set(this.end,t),this.end=this.wrap(this.end+1)}pushAll(t){for(let e of t)this.push(e)}pop(){if(this.isEmpty())throw new RangeError(\"Ring buffer is empty.\");this.end=this.wrap(this.end-1);let t=this.get(this.end);return this.set(this.end,void 0),t}unshift(t){if(this.isFull())throw new RangeError(\"Ring buffer is full.\");this.begin=this.wrap(this.begin-1),this.set(this.begin,t)}shift(){if(this.isEmpty())throw new RangeError(\"Ring buffer is empty.\");let t=this.get(this.begin);return this.set(this.begin,void 0),this.begin=this.wrap(this.begin+1),t}shuffleExcise(t){if(this.isEmpty())throw new RangeError(\"Ring buffer is empty.\");let e=this.wrap(this.begin+t),n=this.get(e);return this.set(e,this.pop()),n}};var Tc=class extends jf{constructor(){super(Tc.INITIAL_CAPACITY)}isFull(){return!1}push(t){super.isFull()&&this.expand(),super.push(t)}unshift(t){super.isFull()&&this.expand(),super.unshift(t)}expand(){let t=this.capacity*2,e=new Array(t),n=this.length();for(let o=0;oe===!0)}rowMajorBatch(t,e=!0){return new SN(this,t,e)}columnMajorBatch(t,e=!0,n=xN){return this.rowMajorBatch(t,e).map(s=>mR(s,n))}concatenate(t,e){return new Hb(AN([this,t]),e)}take(t){return t<0||t==null?this:new IN(this,t)}skip(t){return t<0||t==null?this:new CN(this,t)}prefetch(t){return new qb(this,t)}shuffle(t,e){return new _N(this,t,e)}serial(){return new wN(this)}},yN=class extends Je{constructor(t){super(),this.items=t,this.trav=0}summary(){return`Array of ${this.items.length} items`}async next(){if(this.trav>=this.items.length)return{value:null,done:!0};let t=this.items[this.trav];return this.trav++,{value:hR(t),done:!1}}},bN=class extends Je{constructor(t){super(),this.nextFn=t}summary(){return\"Function call\"}async next(){try{return this.nextFn()}catch(t){throw t.message=`Error thrown while iterating through a dataset: ${t.message}`,t}}},wN=class extends Je{constructor(t){super(),this.upstream=t,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Serial`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){return this.upstream.next()}},CN=class extends Je{constructor(t,e){super(),this.upstream=t,this.maxCount=e,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Skip`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.count++ Take`}async next(){return this.count++>=this.maxCount?{value:null,done:!0}:this.upstream.next()}},SN=class extends Je{constructor(t,e,n=!0){super(),this.upstream=t,this.batchSize=e,this.enableSmallLastBatch=n,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> RowMajorBatch`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){let t=[];for(;t.length0?{value:t,done:!1}:{value:null,done:!0};t.push(e.value)}return{value:t,done:!1}}},vN=class extends Je{constructor(t,e){super(),this.upstream=t,this.predicate=e,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Filter`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;){let t=await this.upstream.next();if(t.done||this.predicate(t.value))return t;vt(t.value)}}},NN=class extends Je{constructor(t,e){super(),this.upstream=t,this.transform=e}summary(){return`${this.upstream.summary()} -> Map`}async next(){let t=await this.upstream.next();if(t.done)return{value:null,done:!0};let e=go.getTensorsInContainer(t.value),n=this.transform(t.value),o=go.getTensorsInContainer(n);for(let s of e)go.isTensorInList(s,o)||s.dispose();return{value:n,done:!1}}},TN=class extends Je{constructor(t,e){super(),this.upstream=t,this.handler=e,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> handleErrors`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;)try{return await this.upstream.next()}catch(t){if(!this.handler(t))return{value:null,done:!0}}}},Ub=class extends Je{constructor(t,e){super(),this.upstream=t,this.transform=e}summary(){return`${this.upstream.summary()} -> AsyncMap`}async next(){let t=await this.upstream.next();if(t.done)return{value:null,done:!0};let e=go.getTensorsInContainer(t.value),n=await this.transform(t.value),o=go.getTensorsInContainer(n);for(let s of e)go.isTensorInList(s,o)||s.dispose();return{value:n,done:!1}}},kc=class extends Je{constructor(){super(),this.outputQueue=new Tc,this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.outputQueue.length()===0;)if(!await this.pump())return{value:null,done:!0};return{value:this.outputQueue.shift(),done:!1}}},kN=class extends kc{constructor(t,e){super(),this.upstream=t,this.transform=e}summary(){return`${this.upstream.summary()} -> Flatmap`}async pump(){let t=await this.upstream.next();if(t.done)return!1;let e=go.getTensorsInContainer(t.value),n=this.transform(t.value),o=go.getTensorsInContainer(n);this.outputQueue.pushAll(n);for(let s of e)go.isTensorInList(s,o)||s.dispose();return!0}},Hb=class extends Je{constructor(t,e){super(),this.baseErrorHandler=e,this.lastRead=null,this.iterator=null,this.moreIterators=t}summary(){return\"TODO: fill in upstream of chained summaries -> Chained\"}async next(){return this.lastRead=this.readFromChain(this.lastRead),this.lastRead}async readFromChain(t){if(await t,this.iterator==null){let n=await this.moreIterators.next();if(n.done)return{value:null,done:!0};this.iterator=n.value,this.baseErrorHandler!=null&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler))}let e=await this.iterator.next();return e.done?(this.iterator=null,this.readFromChain(t)):e}},fl;(function(r){r[r.FAIL=0]=\"FAIL\",r[r.SHORTEST=1]=\"SHORTEST\",r[r.LONGEST=2]=\"LONGEST\"})(fl||(fl={}));var EN=class extends Je{constructor(t,e=fl.FAIL){super(),this.iterators=t,this.mismatchMode=e,this.count=0,this.currentPromise=null}summary(){return\"{TODO: fill in upstream of zip summaries} -> Zip\"}async nextState(t){await t;let e=0,n=0;function o(i){return i instanceof Je?{value:i.next().then(u=>(e++,u.done&&n++,u.value)),recurse:!1}:{value:null,recurse:!0}}let s=await Wb(this.iterators,o);if(e===n)return{value:null,done:!0};if(n>0)switch(this.mismatchMode){case fl.FAIL:throw new Error(`Zipped streams should have the same length. Mismatched at element ${this.count}.`);case fl.SHORTEST:return{value:null,done:!0};case fl.LONGEST:default:}return this.count++,{value:s,done:!1}}async next(){return this.currentPromise=this.nextState(this.currentPromise),this.currentPromise}},qb=class extends Je{constructor(t,e){super(),this.upstream=t,this.bufferSize=e,this.buffer=new jf(e)}summary(){return`${this.upstream.summary()} -> Prefetch`}refill(){for(;!this.buffer.isFull();){let t=this.upstream.next();this.buffer.push(t)}}next(){return this.refill(),this.buffer.shift()}},_N=class extends qb{constructor(t,e,n){super(t,e),this.upstream=t,this.windowSize=e,this.upstreamExhausted=!1,this.random=gR.alea(n||y.now().toString()),this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}randomInt(t){return Math.floor(this.random()*t)}chooseIndex(){return this.randomInt(this.buffer.length())}async serialNext(){for(this.upstreamExhausted||this.refill();!this.buffer.isEmpty();){let t=this.chooseIndex(),e=await this.buffer.shuffleExcise(t);if(e.done)this.upstreamExhausted=!0;else return this.refill(),e}return{value:null,done:!0}}};var Js=class{constructor(){this.size=null}batch(t,e=!0){let n=this;y.assert(t>0,()=>`batchSize needs to be positive, but it is\n ${t}`);let o;return this.size===1/0||this.size==null?o=this.size:e?o=Math.ceil(this.size/t):o=Math.floor(this.size/t),kn(async()=>(await n.iterator()).columnMajorBatch(t,e,G7),o)}concatenate(t){let e=this,n;return this.size===1/0||t.size===1/0?n=1/0:this.size!=null&&t.size!=null?n=this.size+t.size:n=null,kn(async()=>(await e.iterator()).concatenate(await t.iterator()),n)}filter(t){let e=this,n;return this.size===1/0?n=1/0:n=null,kn(async()=>(await e.iterator()).filter(o=>B(()=>t(o))),n)}async forEachAsync(t){return(await this.iterator()).forEachAsync(t)}map(t){let e=this;return kn(async()=>(await e.iterator()).map(n=>B(()=>t(n))),this.size)}mapAsync(t){let e=this;return kn(async()=>(await e.iterator()).mapAsync(t),this.size)}prefetch(t){if(t==null)throw new RangeError(\"`Dataset.prefetch()` requires bufferSize to be specified.\");let e=this;return kn(async()=>(await e.iterator()).prefetch(t),this.size)}repeat(t){let e=this,n;return this.size!=null&&t>0?n=this.size*t:t===0?n=0:this.size!=null&&(t===void 0||t<0)?n=1/0:n=null,kn(async()=>{let o=Lh(async()=>({value:await e.iterator(),done:!1}));return xR(o.take(t))},n)}skip(t){let e=this,n;return this.size!=null&&t>=0&&this.size>=t?n=this.size-t:this.size!=null&&(this.size(await e.iterator()).skip(t),n)}shuffle(t,e,n=!0){if(t==null||t<0)throw this.size==null?new RangeError(\"`Dataset.shuffle()` requires bufferSize to be specified.\"):new RangeError(`\\`Dataset.shuffle()\\` requires bufferSize to be specified. If your data fits in main memory (for regular JS objects), and/or GPU memory (for \\`tf.Tensor\\`s), consider setting bufferSize to the dataset size (${this.size} elements)`);let o=this,s=bR.alea(e||y.now().toString());return kn(async()=>{let i=s.int32();return n&&(i+=s.int32()),(await o.iterator()).shuffle(t,i.toString())},this.size)}take(t){let e=this,n;return this.size!=null&&this.size>t?n=t:this.size!=null&&this.size<=t?n=this.size:n=null,kn(async()=>(await e.iterator()).take(t),n)}async toArray(){if(this.size===1/0)throw new Error(\"Can not convert infinite data stream to array.\");return(await this.iterator()).toArray()}async toArrayForTest(){if(this.size===1/0)throw new Error(\"Can not convert infinite data stream to array.\");return(await this.iterator()).toArrayForTest()}};Js.MAX_BUFFER_SIZE=1e4;function kn(r,t=null){return new class extends Js{constructor(){super(...arguments),this.size=t}async iterator(){return r()}}}function wR(r){return kn(async()=>AN(r),r.length)}function CR(r){if(!vu(r))throw new Error(\"The argument to zip() must be an object or array.\");let t;if(Array.isArray(r))for(let e=0;e{let e=await Wb(r,n=>{if(n instanceof Js)return{value:n.iterator(),recurse:!1};if(vu(n))return{value:null,recurse:!0};throw new Error(\"Leaves of the structure passed to zip() must be Datasets, not primitives.\")});return yR(e,fl.SHORTEST)},t)}function G7(r){if(r===null)return null;let t=r[0];return dR(t)?{value:W7(r),recurse:!1}:{value:null,recurse:!0}}function W7(r){if(r.length===0)throw new Error(\"Can't make a batch of zero elements.\");return r[0]instanceof Ft?nr(r):ur(r)}var Xf=class extends Js{constructor(t){super(),this.input=t}async iterator(){return(await this.input.iterator()).decodeUTF8().split(`\n`).map(o=>(o.endsWith(\"\\r\")&&(o=o.slice(0,-1)),o))}};var Kb='\"',Mh=Symbol(\"out\"),IR=Symbol(\"field\"),jb=Symbol(\"quote\"),$N=Symbol(\"quoteafterquote\"),SR=Symbol(\"quoteinquote\"),Yf=class extends Js{constructor(t,e){super(),this.input=t,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=\",\",this.delimWhitespace=!1,this.base=new Xf(t),e||(e={}),this.hasHeader=e.hasHeader!==!1,this.fullColumnNames=e.columnNames,this.columnConfigs=e.columnConfigs,this.configuredColumnsOnly=e.configuredColumnsOnly,e.delimWhitespace?(y.assert(e.delimiter==null,()=>\"Delimiter should not be provided when delimWhitespace is true.\"),this.delimWhitespace=!0,this.delimiter=\" \"):this.delimiter=e.delimiter?e.delimiter:\",\"}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){let t=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!t)throw new Error(\"Column names must be provided if there is no header line.\");this.fullColumnNames&&t&&y.assert(t.length===this.fullColumnNames.length,()=>\"The length of provided columnNames (\"+this.fullColumnNames.length.toString()+\") does not match the length of the header line read from file (\"+t.length.toString()+\").\"),this.fullColumnNames||(this.fullColumnNames=t);let e=this.fullColumnNames.reduce((o,s)=>(o[s]=o[s]+1||1,o),{}),n=Object.keys(e).filter(o=>e[o]>1);if(y.assert(n.length===0,()=>\"Duplicate column names found: \"+n.toString()),this.columnConfigs){for(let o of Object.keys(this.columnConfigs))if(this.fullColumnNames.indexOf(o)===-1)throw new Error('The key \"'+o+'\" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+\").\")}this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){let e=await(await this.base.iterator()).next();if(e.done)throw new Error(\"No data was found for CSV parsing.\");let n=e.value;return this.parseRow(n,!1)}else return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let t=await this.base.iterator();return this.hasHeader&&(t=t.skip(1)),t.map(e=>this.makeDataElement(e))}makeDataElement(t){let e=this.parseRow(t),n={},o={};for(let s=0;s14||!Number.isInteger(e))throw new Error(`Invalid fftSize: it must be a power of 2 between 2 to 4 and 2 to 14, but got ${this.fftSize}`);if(this.numFrames=t.numFramesPerSpectrogram||43,this.sampleRateHz=t.sampleRateHz,this.columnTruncateLength=t.columnTruncateLength||this.fftSize,this.audioTrackConstraints=t.audioTrackConstraints,this.smoothingTimeConstant=t.smoothingTimeConstant||0,this.includeSpectrogram=t.includeSpectrogram!==!1,this.includeWaveform=t.includeWaveform===!0,!this.includeSpectrogram&&!this.includeWaveform)throw new Error(\"Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.\")}summary(){return\"microphone\"}static async create(t={}){if(!z().get(\"IS_BROWSER\"))throw new Error(\"microphone API is only supported in browser environment.\");let e=new Zf(t);return await e.start(),e}async start(){try{this.stream=await navigator.mediaDevices.getUserMedia({audio:this.audioTrackConstraints==null?!0:this.audioTrackConstraints,video:!1})}catch(n){throw new Error(`Error thrown while initializing video stream: ${n.message}`)}if(!this.stream)throw new Error(\"Could not obtain audio from microphone.\");let t=window.AudioContext||window.webkitAudioContext;if(this.audioContext=new t,!this.sampleRateHz)this.sampleRateHz=this.audioContext.sampleRate;else if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error(`Mismatch in sampling rate: Expected: ${this.sampleRateHz}; Actual: ${this.audioContext.sampleRate}`);let e=this.audioContext.createMediaStreamSource(this.stream);this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=this.fftSize*2,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,e.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize)}async next(){if(this.isClosed)return{value:null,done:!0};let t,e,n=await this.getAudioData();if(this.includeSpectrogram){let o=this.flattenQueue(n.freqDataQueue);t=this.getTensorFromAudioDataArray(o,[this.numFrames,this.columnTruncateLength,1])}if(this.includeWaveform){let o=this.flattenQueue(n.timeDataQueue);e=this.getTensorFromAudioDataArray(o,[this.numFrames*this.fftSize,1])}return{value:{spectrogram:t,waveform:e},done:!1}}async capture(){return(await this.next()).value}async getAudioData(){let t=[],e=[],n=0;return new Promise(o=>{let s=setInterval(()=>{this.includeSpectrogram&&(this.analyser.getFloatFrequencyData(this.freqData),this.freqData[0]===-1/0&&o({freqDataQueue:t,timeDataQueue:e}),t.push(this.freqData.slice(0,this.columnTruncateLength))),this.includeWaveform&&(this.analyser.getFloatTimeDomainData(this.timeData),e.push(this.timeData.slice())),++n===this.numFrames&&(clearInterval(s),o({freqDataQueue:t,timeDataQueue:e}))},this.fftSize/this.sampleRateHz*1e3)})}stop(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),this.stream!=null&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())}toArray(){throw new Error(\"Can not convert infinite audio stream to array.\")}getSampleRate(){return this.sampleRateHz}flattenQueue(t){let e=t[0].length,n=new Float32Array(t.length*e);return t.forEach((o,s)=>n.set(o,s*e)),n}getTensorFromAudioDataArray(t,e){let n=new Float32Array(y.sizeFromShape(e));return n.set(t,n.length-t.length),ur(n,e)}};var Jf=class extends Je{constructor(t,e){if(super(),this.webcamVideoElement=t,this.webcamConfig=e,this.isClosed=!0,this.resize=!1,this.needToResize())if(this.resize=!0,this.cropSize=[this.webcamConfig.resizeHeight,this.webcamConfig.resizeWidth],this.cropBoxInd=Me([0],\"int32\"),this.webcamConfig.centerCrop){let n=this.webcamConfig.resizeWidth*1/this.webcamVideoElement.width,o=this.webcamConfig.resizeHeight*1/this.webcamVideoElement.height,s=(1-n)/2,i=(1-o)/2,a=s+n,u=o+i;this.cropBox=Vs([i,s,u,a],[1,4])}else this.cropBox=Vs([0,0,1,1],[1,4])}summary(){return\"webcam\"}static async create(t,e={}){if(!z().get(\"IS_BROWSER\"))throw new Error(\"tf.data.webcam is only supported in browser environment.\");if(!t){if(t=document.createElement(\"video\"),!e.resizeWidth||!e.resizeHeight)throw new Error(\"Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.\");t.width=e.resizeWidth,t.height=e.resizeHeight}let n=new Jf(t,e);return await n.start(),n}async start(){this.webcamConfig.facingMode&&y.assert(this.webcamConfig.facingMode===\"user\"||this.webcamConfig.facingMode===\"environment\",()=>`Invalid webcam facing mode: ${this.webcamConfig.facingMode}. Please provide 'user' or 'environment'`);try{this.stream=await navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:\"user\",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}})}catch(t){throw t.message=`Error thrown while initializing video stream: ${t.message}`,t}if(!this.stream)throw new Error(\"Could not obtain video from webcam.\");try{this.webcamVideoElement.srcObject=this.stream}catch(t){console.log(t),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,new Promise(t=>{this.webcamVideoElement.onloadedmetadata=()=>{t()}})}async next(){if(this.isClosed)return{value:null,done:!0};let t;try{t=nx.fromPixels(this.webcamVideoElement)}catch(e){throw new Error(`Error thrown converting video to pixels: ${JSON.stringify(e)}`)}if(this.resize)try{return{value:this.cropAndResizeFrame(t),done:!1}}catch(e){throw new Error(`Error thrown cropping the video: ${e.message}`)}finally{t.dispose()}else return{value:t,done:!1}}needToResize(){return!!(this.webcamConfig.resizeWidth&&this.webcamConfig.resizeHeight&&(this.webcamVideoElement.width!==this.webcamConfig.resizeWidth||this.webcamVideoElement.height!==this.webcamConfig.resizeHeight))}cropAndResizeFrame(t){return B(()=>{let e=rr(J(t,\"float32\"),0),n;n=Gs.cropAndResize(e,this.cropBox,this.cropBoxInd,this.cropSize,\"bilinear\");let o=n.shape;return R(n,o.slice(1))})}async capture(){return(await this.next()).value}stop(){this.stream.getTracks().forEach(e=>e.stop());try{this.webcamVideoElement.srcObject=null}catch(e){console.log(e),this.webcamVideoElement.src=null}this.isClosed=!0}toArray(){throw new Error(\"Can not convert infinite video stream to array.\")}};var Qf=class{};var zh=class extends Je{split(t){return new DN(this,t)}},DN=class extends zh{constructor(t,e){super(),this.upstream=t,this.impl=new RN(t,e)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},RN=class extends kc{constructor(t,e){super(),this.upstream=t,this.separator=e,this.carryover=\"\"}summary(){return`${this.upstream.summary()} -> Split('${this.separator}')`}async pump(){let t=await this.upstream.next();if(t.done)return this.carryover===\"\"?!1:(this.outputQueue.push(this.carryover),this.carryover=\"\",!0);let e=t.value.split(this.separator);e[0]=this.carryover+e[0];for(let n of e.slice(0,-1))this.outputQueue.push(n);return this.carryover=e[e.length-1],!0}};var Xb=class extends Je{decodeUTF8(){return new FN(this)}},FN=class extends zh{constructor(t){super(),this.upstream=t,this.impl=new ON(t)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},ON=class extends kc{constructor(t){if(super(),this.upstream=t,z().get(\"IS_BROWSER\"))this.decoder=new TextDecoder(\"utf-8\");else{let{StringDecoder:e}=gN();this.decoder=new e(\"utf8\")}}summary(){return`${this.upstream.summary()} -> Utf8`}async pump(){let t=await this.upstream.next(),e;if(t.done)return!1;e=t.value;let n;return z().get(\"IS_BROWSER\")?n=this.decoder.decode(e,{stream:!0}):n=this.decoder.write(Buffer.from(e.buffer)),this.outputQueue.push(n),!0}};var td=class extends Xb{constructor(t,e={}){super(),this.file=t,this.options=e,y.assert(t instanceof Uint8Array||(z().get(\"IS_BROWSER\")?t instanceof File||t instanceof Blob:!1),()=>\"FileChunkIterator only supports File, Blob and Uint8Array right now.\"),this.offset=e.offset||0,this.chunkSize=e.chunkSize||1024*1024}summary(){return`FileChunks ${this.file}`}async next(){return this.offset>=(this.file instanceof Uint8Array?this.file.byteLength:this.file.size)?{value:null,done:!0}:{value:await new Promise((e,n)=>{let o=this.offset+this.chunkSize;if(this.file instanceof Uint8Array)e(new Uint8Array(this.file.slice(this.offset,o)));else{let s=new FileReader;s.onload=a=>{let u=s.result;if(u instanceof ArrayBuffer&&(u=new Uint8Array(u)),!(u instanceof Uint8Array))return n(new TypeError(\"FileReader returned unknown type.\"));e(u)},s.onabort=a=>n(new Error(\"Aborted\")),s.onerror=a=>n(new Error(a.type));let i=this.file.slice(this.offset,o);s.readAsArrayBuffer(i)}this.offset=o}),done:!1}}};async function vR(r,t={},e){let n,o;typeof r==\"string\"?n=r:(n=r.url,o=U7(r));let s=await(e||y.fetch)(n,o);if(s.ok){let i=new Uint8Array(await s.arrayBuffer());return new td(i,t)}else throw new Error(s.statusText)}var U7=r=>({method:r.method,headers:r.headers,body:r.body,mode:r.mode,credentials:r.credentials,cache:r.cache,redirect:r.redirect,referrer:r.referrer,integrity:r.integrity});function Yb(r){return typeof r==\"string\"&&r.slice(0,7)===\"file://\"}var ed=class extends Qf{constructor(t,e={}){super(),this.input=t,this.options=e}async iterator(){if(Yb(this.input)&&z().get(\"IS_NODE\")){let t=Zb();this.input=t.readFileSync(this.input.slice(7))}return new td(this.input,this.options)}};var rd=class extends Qf{constructor(t,e={}){super(),this.url=t,this.fileOptions=e}async iterator(){return Yb(this.url)?new ed(this.url,this.fileOptions).iterator():vR(this.url,this.fileOptions)}};function NR(r,t={}){return new Yf(new rd(r),t)}function TR(r){let t=Lh(r);return kn(async()=>t)}function kR(r){return kn(async()=>{let t=await r();return Lh(()=>t.next())})}async function ER(r,t){return Jf.create(r,t)}async function _R(r){return Zf.create(r)}var PN=\"4.0.0\";function tt(r,t){Array.isArray(r)||(r=[r]),r.forEach(e=>{e!=null&&y.assert(e.dtype!==\"complex64\",()=>`${t} does not support complex64 tensors in the CPU backend.`)})}var H7=Ur.whereImpl,Nu=class extends zo{constructor(){super(),this.blockSize=48,this.firstUse=!0,this.data=new ra(this,Pn())}nextDataId(){return Nu.nextDataId++}write(t,e,n){this.firstUse&&(this.firstUse=!1,z().get(\"IS_NODE\")&&v.warn(`\n============================\nHi, looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, visit https://github.com/tensorflow/tfjs-node for more details. \n============================`));let o={id:this.nextDataId()};return this.data.set(o,{values:t,dtype:n,refCount:1}),o}makeTensorInfo(t,e,n){let o;if(e===\"string\"&&n!=null&&n.length>0&&y.isString(n[0])){let s=n.map(i=>y.encodeString(i));o=this.write(s,t,e)}else o=this.write(n,t,e);return{dataId:o,shape:t,dtype:e}}refCount(t){return this.data.has(t)?this.data.get(t).refCount:0}incRef(t){let e=this.data.get(t);e.refCount++}decRef(t){if(this.data.has(t)){let e=this.data.get(t);e.refCount--}}move(t,e,n,o,s){this.data.set(t,{values:e,dtype:o,refCount:s})}numDataIds(){return this.data.numDataIds()}async read(t){return this.readSync(t)}readSync(t){let{dtype:e,complexTensorInfos:n}=this.data.get(t);if(e===\"complex64\"){let o=this.readSync(n.real.dataId),s=this.readSync(n.imag.dataId);return v.mergeRealAndImagArrays(o,s)}return this.data.get(t).values}bufferSync(t){let e=this.readSync(t.dataId);if(t.dtype===\"string\")try{let n=e.map(o=>y.decodeString(o));return wt(t.shape,t.dtype,n)}catch(n){throw new Error(\"Failed to decode encoded string bytes into utf-8\")}return wt(t.shape,t.dtype,e)}makeOutput(t,e,n){return Pn().makeTensorFromTensorInfo(this.makeTensorInfo(e,n,t),this)}disposeData(t,e=!1){if(this.data.has(t)){if(this.data.get(t).refCount--,!e&&this.data.get(t).refCount>0)return!1;let{complexTensorInfos:n}=this.data.get(t);n!=null&&(this.disposeData(n.real.dataId,!0),this.disposeData(n.imag.dataId,!0)),this.data.delete(t)}return!0}disposeIntermediateTensorInfo(t){this.disposeData(t.dataId)}async time(t){let e=y.now();return t(),{kernelMs:y.now()-e}}memory(){return{unreliable:!0,reasons:[\"The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less.\"]}}where(t){tt([t],\"where\");let e=this.readSync(t.dataId);return H7(t.shape,e)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}};Nu.nextDataId=0;var mw={};Wt(mw,{addImpl:()=>zN,bincountImpl:()=>sd,bincountReduceImpl:()=>Jb,castImpl:()=>MN,ceilImpl:()=>BN,concatImpl:()=>Ec,equalImpl:()=>VN,expImpl:()=>WN,expm1Impl:()=>HN,floorImpl:()=>qN,gatherNdImpl:()=>Qb,gatherV2Impl:()=>tw,greaterEqualImpl:()=>jN,greaterImpl:()=>KN,lessEqualImpl:()=>YN,lessImpl:()=>XN,linSpaceImpl:()=>ew,logImpl:()=>ZN,maxImpl:()=>rw,maximumImpl:()=>JN,minimumImpl:()=>QN,multiplyImpl:()=>Bh,negImpl:()=>tT,notEqualImpl:()=>eT,prodImpl:()=>rT,raggedGatherImpl:()=>nw,raggedRangeImpl:()=>ow,raggedTensorToTensorImpl:()=>sw,rangeImpl:()=>Ac,rsqrtImpl:()=>nT,scatterImpl:()=>dl,sigmoidImpl:()=>sF,simpleAbsImpl:()=>LN,sliceImpl:()=>$c,sparseFillEmptyRowsImpl:()=>iw,sparseReshapeImpl:()=>aw,sparseSegmentReductionImpl:()=>ld,sqrtImpl:()=>lF,squaredDifferenceImpl:()=>sT,stridedSliceImpl:()=>lw,stringNGramsImpl:()=>Dc,stringSplitImpl:()=>Rc,stringToHashBucketFastImpl:()=>Fc,subImpl:()=>aT,tileImpl:()=>uw,topKImpl:()=>cw,transposeImpl:()=>id,uniqueImpl:()=>pw});function LN(r){let t=new Float32Array(r.length);for(let e=0;e{let{x:t}=r.inputs,e=r.backend;tt(t,\"abs\");let n=new Float32Array(y.sizeFromShape(t.shape)),o=e.data.get(t.dataId).values;return n=LN(o),e.makeOutput(n,t.shape,t.dtype)},$R={kernelName:ii,backendName:\"cpu\",kernelFunc:q7};function Qt(r){return(t,e,n,o,s)=>{let i=v.assertAndGetBroadcastShape(t,e),a=i.length,u=y.computeStrides(i),l=y.sizeFromShape(i),c=y.getTypedArrayFromDType(s,l),p=t.length,m=e.length,f=y.computeStrides(t),d=y.computeStrides(e),h=v.getBroadcastDims(t,i),g=v.getBroadcastDims(e,i);if(h.length+g.length===0)for(let x=0;xw[A]=0);let C=y.locToIndex(w,p,f),N=b.slice(-m);g.forEach(A=>N[A]=0);let _=y.locToIndex(N,m,d);c[x]=r(n[C],o[_])}return[c,i]}}function wr(r){let{inputs:t,backend:e}=r,{real:n,imag:o}=t,s=e.data.get(n.dataId).values,i=e.data.get(o.dataId).values,a=e.makeTensorInfo(n.shape,\"complex64\"),u=e.data.get(a.dataId);return u.complexTensorInfos={real:e.makeTensorInfo(n.shape,\"float32\",s),imag:e.makeTensorInfo(o.shape,\"float32\",i)},a}var DR={kernelName:pp,backendName:\"cpu\",kernelFunc:wr};function nd(r,t,e=\"float32\"){if(e===\"complex64\"){let o=nd(r,t,\"float32\"),s=nd(r,t,\"float32\");return wr({inputs:{real:o,imag:s},backend:r})}let n=y.makeZerosTypedArray(y.sizeFromShape(t),e);return r.makeTensorInfo(t,e,n)}function Kr(r){let{inputs:t,backend:e}=r,{x:n}=t;return e.incRef(n.dataId),{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}var RR={kernelName:co,backendName:\"cpu\",kernelFunc:Kr};function Ao(r){let{inputs:t,backend:e}=r,{input:n}=t,o=e.data.get(n.dataId).complexTensorInfos.real,s=e.data.get(o.dataId).values;return e.makeTensorInfo(o.shape,o.dtype,s)}var FR={kernelName:Rp,backendName:\"cpu\",kernelFunc:Ao};function MN(r,t,e,n){if(n===\"int32\"){let o=Int32Array.from(r);return[t,\"int32\",o]}if(n===\"bool\"){let o=y.toTypedArray([0],e),[s,i]=Qt((a,u)=>a!==u?1:0)(t,[],r,o,\"bool\");return[i,\"bool\",s]}throw new Error(`Error in Cast: failed to cast ${e} to ${n}`)}function $o(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dtype:s}=n;if(s===\"complex64\"){if(o.dtype===\"complex64\")return Kr({inputs:{x:o},backend:e});let c=nd(e,o.shape,o.dtype),p=$o({inputs:{x:o},backend:e,attrs:{dtype:\"float32\"}}),m=wr({inputs:{real:p,imag:c},backend:e});return e.disposeIntermediateTensorInfo(c),e.disposeIntermediateTensorInfo(p),m}if(o.dtype===\"complex64\"){let c=Ao({inputs:{input:o},backend:e}),p=$o({inputs:{x:c},backend:e,attrs:{dtype:s}});return e.disposeIntermediateTensorInfo(c),p}if(!y.hasEncodingLoss(o.dtype,s)){let c=Kr({inputs:{x:o},backend:e});return{dataId:c.dataId,shape:c.shape,dtype:s}}let i=e.data.get(o.dataId).values,[a,u,l]=MN(i,o.shape,o.dtype,s);return e.makeTensorInfo(a,u,l)}var OR={kernelName:lo,backendName:\"cpu\",kernelFunc:$o};function oe(r,t,e,n){return e==null?({inputs:o,backend:s})=>{let{a:i,b:a}=o,u=s;tt([i,a],r);let l=u.data.get(i.dataId).values,c=u.data.get(a.dataId).values,p=i.dtype===\"string\"?v.fromUint8ToStringArray(l):l,m=i.dtype===\"string\"?v.fromUint8ToStringArray(c):c,f=n||i.dtype,[d,h]=t(i.shape,a.shape,p,m,f);return u.makeTensorInfo(h,f,d)}:({inputs:o,backend:s})=>{let{a:i,b:a}=o,u=s;if(i.dtype===\"complex64\"||a.dtype===\"complex64\"){let l=$o({inputs:{x:i},backend:u,attrs:{dtype:\"complex64\"}}),c=u.data.get(l.dataId),p=c.complexTensorInfos.real,m=c.complexTensorInfos.imag,f=u.data.get(p.dataId).values,d=u.data.get(m.dataId).values,h=$o({inputs:{x:a},backend:u,attrs:{dtype:\"complex64\"}}),g=u.data.get(h.dataId),x=g.complexTensorInfos.real,b=g.complexTensorInfos.imag,w=u.data.get(x.dataId).values,C=u.data.get(b.dataId).values,[N,_,A]=e(i.shape,a.shape,f,d,w,C),$=u.makeTensorInfo(A,\"float32\",N),F=u.makeTensorInfo(A,\"float32\",_),P=wr({inputs:{real:$,imag:F},backend:u});return u.disposeIntermediateTensorInfo(l),u.disposeIntermediateTensorInfo(h),u.disposeIntermediateTensorInfo($),u.disposeIntermediateTensorInfo(F),P}else{let l=u.data.get(i.dataId).values,c=u.data.get(a.dataId).values,p=n||i.dtype,[m,f]=t(i.shape,a.shape,l,c,p);return u.makeTensorInfo(f,p,m)}}}function od(r){return(t,e,n,o,s,i)=>{let a=v.assertAndGetBroadcastShape(t,e),u=y.sizeFromShape(a),l=a.length,c=y.computeStrides(a),p=y.getTypedArrayFromDType(\"float32\",u),m=y.getTypedArrayFromDType(\"float32\",u),f=v.getBroadcastDims(t,a),d=v.getBroadcastDims(e,a),h=v.mergeRealAndImagArrays(n,o),g=v.mergeRealAndImagArrays(s,i),x=t.length,b=y.computeStrides(t),w=e.length,C=y.computeStrides(e);if(f.length+d.length===0)for(let N=0;NA[G]=0);let $=y.locToIndex(A,x,b),F=_.slice(-w);d.forEach(G=>F[G]=0);let P=y.locToIndex(F,w,C),V=r(h[$*2],h[$*2+1],g[P*2],g[P*2+1]);p[N]=V.real,m[N]=V.imag}return[p,m,a]}}var zN=Qt((r,t)=>r+t),K7=od((r,t,e,n)=>({real:r+e,imag:t+n})),Ki=oe(Zn,zN,K7),PR={kernelName:Zn,backendName:\"cpu\",kernelFunc:Ki};function sd(r,t,e,n,o){let s=y.sizeFromShape(n),i=y.makeZerosTypedArray(o,e);for(let a=0;a=o||(s>0?i[u]+=t[a]:i[u]+=1)}return i}function Jb(r,t,e,n=!1){let o=r.shape[0],s=r.shape[1],i=wt([o,e],t.dtype);for(let a=0;a=e||(n?i.set(1,a,l):t.size>0?i.set(i.get(a,l)+t.get(a,u),a,l):i.set(i.get(a,l)+1,a,l))}return i}function yn(r){return(t,e,n)=>{let o=y.getTypedArrayFromDType(e,t.length);for(let s=0;s{let{x:i}=n;if(tt(i,r),i.dtype===\"string\"||e===\"string\")throw new Error(\"unaryKernelFunc does not support string input/output\");let a=s,u=a.data.get(i.dataId).values,l=y.sizeFromShape(i.shape),c=e||i.dtype,p=y.getArrayFromDType(c,l);for(let m=0;m{let{x:i}=n;if(tt(i,r),i.dtype===\"string\"||e===\"string\")throw new Error(\"unaryKernelFunc does not support string input/output\");let a=s,u=a.data.get(i.dataId).values,l=e||i.dtype,c=t(u,l,o);return a.makeTensorInfo(i.shape,l,c)}}var BN=yn(r=>Math.ceil(r)),j7=Do(qo,BN),LR={kernelName:qo,backendName:\"cpu\",kernelFunc:j7};function Ec(r,t,e,n){let o=y.getArrayFromDType(e,y.sizeFromShape(t));if(n&&e!==\"string\"){let s=0;r.forEach(i=>{let a=y.sizeFromShape(i.shape);o.set(i.vals,s),s+=a})}else{let s=0;r.forEach(i=>{let a=e===\"string\"?v.fromUint8ToStringArray(i.vals):i.vals,u=0;for(let l=0;lr===t?1:0),GN=oe(xa,VN,null,\"bool\"),MR={kernelName:xa,backendName:\"cpu\",kernelFunc:GN};var WN=yn(r=>Math.exp(r)),UN=Do(es,WN,\"float32\"),zR={kernelName:es,backendName:\"cpu\",kernelFunc:UN};var HN=yn(r=>Math.expm1(r)),X7=Do(ya,HN),BR={kernelName:ya,backendName:\"cpu\",kernelFunc:X7};var qN=yn(r=>Math.floor(r)),Y7=Do(rs,qN),VR={kernelName:rs,backendName:\"cpu\",kernelFunc:Y7};function Qb(r,t,e,n,o,s,i,a,u){let l=wt([n,s],e);for(let c=0;c=u/s)throw new Error(`Invalid indices: ${p} does not index into ${a}`);for(let f=0;fr>t?1:0),Z7=oe(Ca,KN,null,\"bool\"),GR={kernelName:Ca,backendName:\"cpu\",kernelFunc:Z7};var jN=Qt((r,t)=>r>=t?1:0),J7=oe(ss,jN,null,\"bool\"),WR={kernelName:ss,backendName:\"cpu\",kernelFunc:J7};var XN=Qt((r,t)=>rr<=t?1:0),tJ=oe(Ta,YN,null,\"bool\"),HR={kernelName:Ta,backendName:\"cpu\",kernelFunc:tJ};function ew(r,t,e){let n=(t-r)/(e-1),o=y.makeZerosTypedArray(e,\"float32\");o[0]=r;for(let s=1;sMath.log(r)),eJ=Do(as,ZN),qR={kernelName:as,backendName:\"cpu\",kernelFunc:eJ};function rw(r,t,e,n){let o=y.getTypedArrayFromDType(n,y.sizeFromShape(e));for(let s=0;sa)&&(a=l)}o[s]=a}return o}var JN=Qt((r,t)=>Math.max(r,t)),rJ=oe(us,JN),KR={kernelName:us,backendName:\"cpu\",kernelFunc:rJ};var QN=Qt((r,t)=>Math.min(r,t)),nJ=oe(fs,QN),jR={kernelName:fs,backendName:\"cpu\",kernelFunc:nJ};var Bh=Qt((r,t)=>r*t),oJ=od((r,t,e,n)=>({real:r*e-t*n,imag:r*n+t*e})),_c=oe(hs,Bh,oJ),XR={kernelName:hs,backendName:\"cpu\",kernelFunc:_c};function tT(r,t,e){let n=y.createScalarValue(-1,e);return Bh([],t,n,r,e)}function sJ(r){let{inputs:t,backend:e}=r,{x:n}=t;tt(n,\"neg\");let o=e.data.get(n.dataId).values,[s,i]=tT(o,n.shape,n.dtype);return e.makeTensorInfo(i,n.dtype,s)}var YR={kernelName:pi,backendName:\"cpu\",kernelFunc:sJ};var eT=Qt((r,t)=>r!==t?1:0),iJ=oe(Da,eT,null,\"bool\"),ZR={kernelName:Da,backendName:\"cpu\",kernelFunc:iJ};function id(r,t,e,n,o){let s=t.length,i=y.sizeFromShape(t),a=y.computeStrides(t),u=y.computeStrides(o),l=y.getTypedArrayFromDType(e,y.sizeFromShape(o));for(let c=0;ce.disposeIntermediateTensorInfo(b)),e.makeTensorInfo(x,g,d)}var QR={kernelName:ws,backendName:\"cpu\",kernelFunc:aJ};function lJ(r,t,e){r.forEach((n,o)=>{if(n<0||n>=e){let s=y.indexToLoc(o,t.length,y.computeStrides(t)).join(\",\");throw new Error(`indices[${s}] = ${n} is not in [0, ${e})`)}})}function uJ(r,t){for(let e=0;eo)throw new Error(\"Ragged splits must not point past values\");for(let s=1;sn[s])throw new Error(\"Ragged splits must be sorted in ascending order\")}}function cJ(r,t,e,n){let o=[],s=0,i=t.length-1+e.length,a=new Array(i).fill(null).map(()=>[0]);uJ(e,n);let u=1;for(let l=0;l=0){let h=a[d],g=h[h.length-1]-f[c];for(let x=c;xo[i]=s)}return t}function tF(r,t){let e=r.slice(0,t);for(;e.length1)throw new Error(\"starts must be a scalar or vector\");if(o.length>1)throw new Error(\"limits must be a scalar or vector\");if(i.length>1)throw new Error(\"deltas must be a scalar or vector\");let a=t.length===0,u=o.length===0,l=i.length===0,c=[];a||c.push(t[0]),u||c.push(o[0]),l||c.push(i[0]);for(let g=1;g0&&bx)C=0;else if(C=Math.ceil(Math.abs((b-x)/w)),C>eF)throw new Error(`Requires ((limit - start) / delta) <= ${eF}`);m[g+1]=m[g]+C}let f=m[p],d=y.getArrayFromDType(e,f),h=0;for(let g=0;gn&&(n=s)}return n}static getMaxWidthValueRowID(t){let e=t.length;if(e===0)return 0;let n=0,o=t[0],s=0;for(let i=1;i\"Final length of result must be equal to firstDimension.\"),s}calculateOutputIndexRowSplit(t,e,n,o){let s=t.length,i=[];for(let a=0;a0&&i.length!==t[s-1])throw new Error(\"Invalid row split size.\");return i}calculateOutputIndexValueRowID(t,e,n,o){let s=t.length,i=[];if(s===0)return[];let a=0,u=t[0];if(u>=e.length)throw new Error(`Got currentValueRowId=${u}, which is not less than ${e.length}`);let l=e[u];i.push(l);for(let c=1;c=0&&(++a,a=e.length)throw new Error(`Got nextValueRowId=${p} which is not less than ${e.length}`);l=e[p]}i.push(l)}if(i.length!==t.length)throw new Error(\"Invalid row ids.\");return i}calculateOutputIndex(t,e,n,o){let s=this.getRowPartitionTensor(t),i=this.getRowPartitionTypeByDimension(t);switch(i){case Ro.VALUE_ROWIDS:return this.calculateOutputIndexValueRowID(s,e,n,o);case Ro.ROW_SPLITS:if(s.length-1>e.length)throw new Error(`Row partition size is greater than output size: ${s.length-1} > ${e.length}`);return this.calculateOutputIndexRowSplit(s,e,n,o);default:throw new Error(`Unsupported partition type: ${Ro[i]}`)}}getFirstDimensionSize(){let t=this.rowPartitionValues[0];if(this.rowPartitionTypes.length===0)throw new Error(\"No row_partition_types given.\");let e=this.rowPartitionTypes[0];switch(e){case Ro.FIRST_DIM_SIZE:return t[0];case Ro.VALUE_ROWIDS:throw new Error(\"Cannot handle VALUE_ROWIDS in first dimension.\");case Ro.ROW_SPLITS:return this.rowPartitionValuesShapes[0][0]-1;default:throw new Error(`Cannot handle type ${Ro[e]}`)}}compute(){if(this.rowPartitionValues[0].length<=0)throw new Error(\"Invalid first partition input. Tensor requires at least one element.\");let e=this.getFirstDimensionSize(),n=this.calculateOutputSize(e),o=new Array(this.raggedRank+1);o[o.length-1]=1;for(let u=o.length-2;u>=0;--u)o[u]=o[u+1]*n[u+1];let s=nF(n,!1),i=y.getArrayFromDType(this.valuesDType,y.sizeFromShape(s));if(o[0]*n[0]>0){let u=this.calculateFirstParentOutputIndex(e,o[0],n[0]);for(let l=1;l<=this.raggedRank;++l)u=this.calculateOutputIndex(l-1,u,o[l],n[l]);this.setOutput(this.raggedRank,u,i,s)}return[s,i]}setOutput(t,e,n,o){if(n.length===0)return;let s=this.values,i=n,a=o.slice();a=a.slice(t+1);let u=y.sizeFromShape(a),l=e.length,c=this.defaultValue;if(c.length!==u&&c.length!==1){let d=this.defaultValueShape;B(()=>{let h=R(c,d);c=Ri(h,a).dataSync()})}let p=0,m=0,f=0;for(let d=0;d<=l;++d){let h=d=l){let g=n.length;h=Math.floor(g/u)}if(h>f)if(this.defaultValue.length===1)i.subarray(f*u,h*u).fill(this.defaultValue[0]),f=h;else for(;h>f;){let g=i.slice(f*u);rF(g,c,u),++f}h<0?(p=d+1,m=f):(p=d,m=f,f=m+1)}}};function rF(r,t,e){for(let n=0;n= 0`);if(n<-1)throw new Error(`Dimension ${n} must be >= -1`);n=-1}e.push(n)}return e}function sw(r,t,e,n,o,s,i,a,u,l){return new ad(r,t,e,n,o,s,i,a,u,l).compute()}function Ac(r,t,e,n){let o=r===t,s=r1;if(o||s||i)return y.makeZerosTypedArray(0,n);let a=Math.abs(Math.ceil((t-r)/e)),u=y.makeZerosTypedArray(a,n);t1/Math.sqrt(r)),dJ=Do(ks,nT),oF={kernelName:ks,backendName:\"cpu\",kernelFunc:dJ};function dl(r,t,e,n,o,s,i,a,u,l){let c=[n/o,o],p=r.values,m=t.values;if(n===0)return wt(e,t.dtype);let f=wt(c,t.dtype);typeof u==\"string\"||typeof u==\"number\"?f.values.fill(u):typeof u==\"boolean\"&&f.values.fill(+u);for(let d=0;d=n/o)throw new Error(`Invalid indices: ${h} does not index into ${e}`);for(let x=0;x1/(1+Math.exp(-r))),oT=kt(_s,r=>1/(1+Math.exp(-r))),iF={kernelName:_s,backendName:\"cpu\",kernelFunc:oT};function $c(r,t,e,n,o){let s=Le.isSliceContinous(n,t,e),i=y.sizeFromShape(e),a=y.computeStrides(n);if(s){let p=Le.computeFlatOffset(t,a);return o===\"string\"?r.slice(p,p+i):r.subarray(p,p+i)}let u=o===\"string\"?v.fromUint8ToStringArray(r):r,l=wt(n,o,u),c=wt(e,o);for(let p=0;pd+t[h]);c.set(l.get(...f),...m)}return o===\"string\"?v.fromStringArrayToUint8(c.values):c.values}function Fo(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,size:i}=n;tt(o,\"slice\");let[a,u]=Le.parseSliceParams(o,s,i);Le.assertParamsValid(o,a,u);let l=e.data.get(o.dataId).values,c=$c(l,a,u,o.shape,o.dtype);return e.makeTensorInfo(u,o.dtype,c)}var aF={kernelName:gi,backendName:\"cpu\",kernelFunc:Fo};function iw(r,t,e,n,o,s,i){let a=t[0],u=s[0],l=new Array(u),c=new Array(a),p=t[1];if(u===0){if(a!==0)throw new Error(v.getSparseFillEmptyRowsIndicesDenseShapeMismatch(a));let g=y.getArrayFromDType(e,0),x=y.getArrayFromDType(o,0);return[g,[0,p],x,l,c]}let m=!0,f=0,d=new Array(u).fill(0);for(let g=0;g=u)throw new Error(v.getSparseFillEmptyRowsOutOfRangeIndexErrorMessage(g,x,u));++d[x],m=m&&x>=f,f=x}let h=!0;for(let g=0;g0&&(d[g]+=d[g-1])}if(h&&m){let g=r,x=n;for(let b=0;b0){f[m-1]=1;for(let g=m-2;g>=0;--g)f[g]=f[g+1]*n[g+1]}let d=[];if(a>0){d[a-1]=1;for(let g=a-2;g>=0;--g)d[g]=d[g+1]*u[g+1]}let h=y.getArrayFromDType(e,i*a);for(let g=0;g0?o[a-1]+1:0;if(p<0)throw new Error(v.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let m=t.slice();m[0]=p;let f=m.reduce((w,C)=>w*C,1),d=y.getArrayFromDType(e,f);if(a===0)return p>0&&d.fill(i),[d,m];if(p<=0)throw new Error(v.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let h=0,g=1,x=0,b=o[h];for(;;){let w=0;if(g=w)throw new Error(v.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage())}if(b<0||b>=p)throw new Error(v.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(b,p));b>x&&d.fill(i,x*l,b*l);for(let C=h;C=u[0])throw new Error(v.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(C,n[C],u[0]));for(let _=0;_a)break}return xMath.sqrt(r)),hJ=kt(As,r=>Math.sqrt(r)),uF={kernelName:As,backendName:\"cpu\",kernelFunc:hJ};var sT=Qt((r,t)=>{let e=r-t;return e*e}),gJ=oe(Rs,sT),cF={kernelName:Rs,backendName:\"cpu\",kernelFunc:gJ};function lw(r,t,e,n){let o=wt(r,t.dtype);for(let s=0;s0?0:a-u),f=0;f+=l*this.leftPad.length;for(let b=0;bb.forEach(w=>h[g++]=w);for(let b=0;b0){x(t[m+p-1]);for(let b=0;b0){let u=e[0];if(u!==0)throw new Error(`First split value must be 0, got ${u}`);for(let l=1;l=u;if(c=c&&e[l]<=n,!c)throw new Error(`Invalid split value ${e[l]}, must be in [${u}, ${n}]`);u=e[l]}if(u!==n)throw new Error(`Last split value must be data size. Expected ${n}, got ${u}`)}let s=o-1,i=y.getArrayFromDType(\"int32\",o);if(n===0||o===0){let u=new Array(n);for(let l=0;l<=s;++l)i[l]=0;return[u,i]}i[0]=0;for(let u=1;u<=s;++u){let l=e[u]-e[u-1],c=0;this.nGramWidths.forEach(p=>{c+=this.getNumNGrams(l,p)}),this.preserveShort&&l>0&&c===0&&(c=1),i[u]=i[u-1]+c}let a=new Array(i[s]);for(let u=0;u{let m=e[u+1]-e[u],f=this.getNumNGrams(m,p);this.createNGrams(t,l,a,c,f,p),c+=f}),this.preserveShort&&c===i[u]){let p=e[u+1]-e[u];if(p===0)continue;let m=p+2*this.padWidth,f=1;this.createNGrams(t,l,a,c,f,m)}}return[a,i]}};function Dc(r,t,e,n,o,s,i,a){return new iT(e,n,o,s,i,a).compute(r,t)}function xJ(r,t,e,n){if(!r.length)return;if(t.length===0){for(let s=0;sr-t),yJ=od((r,t,e,n)=>({real:r-e,imag:t-n})),Vh=oe(Fs,aT,yJ),pF={kernelName:Fs,backendName:\"cpu\",kernelFunc:Vh};function uw(r,t){let e=new Array(r.rank);for(let o=0;o{let e=t.value-r.value;return e===0?r.index-t.index:e};function mF(r,t,e=0,n=r.length-1){for(;n>e;){if(n-e>600){let a=n-e+1,u=t-e+1,l=Math.log(a),c=.5*Math.exp(2*l/3),p=.5*Math.sqrt(l*c*(a-c)/a)*Math.sign(u-a/2),m=Math.max(e,Math.floor(t-u*c/a+p)),f=Math.min(n,Math.floor(t+(a-u)*c/a+p));mF(r,t,m,f)}let o=r[t],s=e,i=n;for(y.swap(r,e,t),Gh(r[n],o)>0&&y.swap(r,e,n);s0;)i=i-1}Gh(r[e],o)===0?y.swap(r,e,i):(i=i+1,y.swap(r,i,n)),i<=t&&(e=i+1),t<=i&&(n=i-1)}}function cw(r,t,e,n,o){let s=t[t.length-1],[i,a]=[r.length/s,s],u=y.getTypedArrayFromDType(e,i*n),l=y.getTypedArrayFromDType(\"int32\",i*n);for(let p=0;pd[w]={value:b,index:w}),n{for(let g=0;gnew Nu,1);var lT=kt(ts,r=>r>=0?r:Math.exp(r)-1),fF={kernelName:ts,backendName:\"cpu\",kernelFunc:lT};function uT(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{alpha:s}=n;tt([o],\"leakyRelu\");let i=y.sizeFromShape(o.shape),a=e.data.get(o.dataId).values,u=y.getTypedArrayFromDType(\"float32\",i);for(let l=0;lr<0?t*r:r);function cT(r){let{inputs:t,backend:e}=r,{x:n,alpha:o}=t;tt([n,o],\"prelu\");let s=e.data.get(n.dataId).values,i=e.data.get(o.dataId).values,[a,u]=wJ(n.shape,o.shape,s,i,\"float32\");return e.makeTensorInfo(u,\"float32\",a)}var hF={kernelName:bs,backendName:\"cpu\",kernelFunc:cT};var pT=kt(Cs,r=>Math.max(0,r)),gF={kernelName:Cs,backendName:\"cpu\",kernelFunc:pT};var mT=kt(vs,r=>Math.min(Math.max(0,r),6)),xF={kernelName:vs,backendName:\"cpu\",kernelFunc:mT};function Oc(r,t,e,n,o){if(e===\"linear\")return Kr({inputs:{x:t},backend:r});if(e===\"relu\")return pT({inputs:{x:t},backend:r});if(e===\"elu\")return lT({inputs:{x:t},backend:r});if(e===\"relu6\")return mT({inputs:{x:t},backend:r});if(e===\"prelu\")return cT({inputs:{x:t,alpha:n},backend:r});if(e===\"leakyrelu\")return uT({inputs:{x:t},backend:r,attrs:{alpha:o}});if(e===\"sigmoid\")return oT({inputs:{x:t},backend:r});throw new Error(`Activation ${e} has not been implemented for the CPU backend.`)}function Yt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{shape:s}=n,i=y.sizeFromShape(o.shape),a=y.inferFromImplicitShape(s,i),u=y.sizeFromShape(a);y.assert(i===u,()=>`The new shape (${a}) has ${u} elements and the old shape (${o.shape}) has ${i} elements. The new shape and old shape must have the same number of elements.`),e.incRef(o.dataId);let l=e.data.get(o.dataId);if(l.complexTensorInfos!=null){let c=l.complexTensorInfos.real,p=l.complexTensorInfos.imag;c.shape=a,p.shape=a}return{dataId:o.dataId,shape:a,dtype:o.dtype}}var yF={kernelName:di,backendName:\"cpu\",kernelFunc:Yt};function fT(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s}=t,{transposeA:i,transposeB:a}=n;tt([o,s],\"matMul\");let u=o.shape.length,l=s.shape.length,c=i?o.shape[u-2]:o.shape[u-1],p=a?s.shape[l-1]:s.shape[l-2],m=i?o.shape[u-1]:o.shape[u-2],f=a?s.shape[l-2]:s.shape[l-1],d=o.shape.slice(0,-2),h=s.shape.slice(0,-2),g=y.sizeFromShape(d),x=y.sizeFromShape(h),w=Vr.assertAndGetBroadcastShape(o.shape.slice(0,-2),s.shape.slice(0,-2)).concat([m,f]);y.assert(c===p,()=>`Error in matMul: inner shapes (${c}) and (${p}) of Tensors with shapes ${o.shape} and ${s.shape} and transposeA=${i} and transposeB=${a} must match.`);let C=i?[g,c,m]:[g,m,c],N=a?[x,f,p]:[x,p,f],_=Yt({inputs:{x:o},backend:e,attrs:{shape:C}}),A=Yt({inputs:{x:s},backend:e,attrs:{shape:N}}),$=i?_.shape[1]:_.shape[2],F=i?_.shape[2]:_.shape[1],P=a?A.shape[1]:A.shape[2],V=Math.max(g,x),G=e.data.get(_.dataId).values,W=e.data.get(A.dataId).values,q=y.computeStrides(_.shape),H=y.computeStrides(A.shape),[j,Y,Z]=i?[q[0],1,q[1]]:[q[0],q[1],1],[et,rt,ot]=a?[1,H[1],H[0]]:[H[1],1,H[0]],at=F*P,nt=wt([V,F,P],_.dtype),it=nt.values,dt=e.blockSize;for(let ht=0;htMath.acos(r)),CF={kernelName:oa,backendName:\"cpu\",kernelFunc:IJ};var SJ=kt(sa,r=>Math.acosh(r)),IF={kernelName:sa,backendName:\"cpu\",kernelFunc:SJ};function vJ(r){let{inputs:t,backend:e}=r,n=t;tt(t,\"addN\");let o=n.map(a=>e.data.get(a.dataId).values),s=wt(n[0].shape,n[0].dtype),i=s.values;for(let a=0;ab&&(b=N,w=C)}f[g]=w}return l.forEach(g=>e.disposeIntermediateTensorInfo(g)),e.makeTensorInfo(c,\"int32\",f)}var TF={kernelName:Wo,backendName:\"cpu\",kernelFunc:kJ};function EJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s}=n;tt(o,\"argMin\");let i=y.parseAxisParam(s,o.shape),a=v.getAxesPermutation(i,o.shape.length),u=o,l=[];a!=null&&(u=Ve({inputs:{x:o},backend:e,attrs:{perm:a}}),l.push(u),i=v.getInnerMostAxes(i.length,u.shape.length)),i=[i[0]],v.assertAxesAreInnerMostDims(\"argMin\",i,u.shape.length);let[c,p]=v.computeOutAndReduceShapes(u.shape,i),m=y.sizeFromShape(c),f=y.makeZerosTypedArray(m,\"int32\"),d=y.sizeFromShape(p),h=e.data.get(u.dataId).values;for(let g=0;ge.disposeIntermediateTensorInfo(g)),e.makeTensorInfo(c,\"int32\",f)}var kF={kernelName:kl,backendName:\"cpu\",kernelFunc:EJ};var _J=kt(la,r=>Math.asin(r)),EF={kernelName:la,backendName:\"cpu\",kernelFunc:_J};var AJ=kt(ua,r=>Math.asinh(r)),_F={kernelName:ua,backendName:\"cpu\",kernelFunc:AJ};var $J=kt(ca,r=>Math.atan(r)),AF={kernelName:ca,backendName:\"cpu\",kernelFunc:$J};var DJ=Qt((r,t)=>Math.atan2(r,t)),RJ=oe(ma,DJ),$F={kernelName:ma,backendName:\"cpu\",kernelFunc:RJ};var FJ=kt(pa,r=>Math.atanh(r)),DF={kernelName:pa,backendName:\"cpu\",kernelFunc:FJ};function ud(r,t,e,n,o,s){let i=o.strideHeight,a=o.strideWidth,u=o.dilationHeight,l=o.dilationWidth,c=o.effectiveFilterHeight,p=o.effectiveFilterWidth,m=o.padInfo.top,f=o.padInfo.left,d=s===\"max\"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,h=wt(o.outShape,e),g=h.values,x=o.outShape[1]*o.outShape[2]*o.outShape[3],b=o.outShape[2]*o.outShape[3],w=o.outShape[3];for(let C=0;CY?Y=dt:s===\"avg\"&&(Z+=dt,et++)}if(isNaN(Y))break}let rt=G+W*w+A;g[rt]=s===\"avg\"?Z/et:Y}}}return h}function fw(r,t,e,n,o=!1,s=!1){let i=wt(n.outShape,\"int32\"),a=n.strideHeight,u=n.strideWidth,l=n.dilationHeight,c=n.dilationWidth,p=n.effectiveFilterHeight,m=n.effectiveFilterWidth,f=n.padInfo.top,d=n.padInfo.left,h=wt(t,e,r);for(let g=0;gP&&(P=j,o?V=s?((g*n.inHeight+G)*n.inWidth+q)*n.inChannels+x:(G*n.inWidth+q)*n.inChannels+x:V=W*m+H)}}i.set(V,g,b,_,x)}}return i}function dw(r,t,e,n,o,s){let i=o.strideDepth,a=o.strideHeight,u=o.strideWidth,l=o.dilationDepth,c=o.dilationHeight,p=o.dilationWidth,m=o.effectiveFilterDepth,f=o.effectiveFilterHeight,d=o.effectiveFilterWidth,h=o.padInfo.front,g=o.padInfo.top,x=o.padInfo.left,b=s===\"max\"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,w=wt(o.outShape,e),C=w.values,N=o.outShape[1]*o.outShape[2]*o.outShape[3]*o.outShape[4],_=o.outShape[2]*o.outShape[3]*o.outShape[4],A=o.outShape[3]*o.outShape[4],$=o.outShape[4];for(let F=0;FEt?Et=We:s===\"avg\"&&(At+=We,Vt++),isNaN(Et))break}if(isNaN(Et))break}if(isNaN(Et))break}let Zt=bt+G;C[Zt]=s===\"avg\"?At/Vt:Et}}}}return w}function RF(r,t){let e=wt(t.outShape,\"int32\"),n=t.strideDepth,o=t.strideHeight,s=t.strideWidth,i=t.dilationDepth,a=t.dilationHeight,u=t.dilationWidth,l=t.effectiveFilterDepth,c=t.effectiveFilterHeight,p=t.effectiveFilterWidth,m=t.padInfo.front,f=t.padInfo.top,d=t.padInfo.left;for(let h=0;h=W&&(W=ot,q=j*c*p+Z*c+rt)}}}e.set(q,h,x,N,F,g)}}}return e}function OJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t;tt(o,\"avgPool\");let{filterSize:s,strides:i,pad:a,dimRoundingMode:u}=n,l=1;y.assert(v.eitherStridesOrDilationsAreOne(i,l),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);let c=v.computePool2DInfo(o.shape,s,i,l,a,u),p;if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))p=Kr({inputs:{x:o},backend:e});else{let m=e.data.get(o.dataId).values,f=y.computeStrides(o.shape),d=ud(m,o.shape,o.dtype,f,c,\"avg\");p=e.makeTensorInfo(c.outShape,o.dtype,d.values)}return p}var FF={kernelName:Uo,backendName:\"cpu\",kernelFunc:OJ};function PJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{filterSize:s,strides:i,pad:a,dimRoundingMode:u,dataFormat:l}=n;tt(o,\"avgPool3d\");let c=v.computePool3DInfo(o.shape,s,i,1,a,u,l),p=e.data.get(o.dataId).values,m=dw(p,o.shape,o.dtype,y.computeStrides(o.shape),c,\"avg\");return e.makeTensorInfo(m.shape,\"float32\",m.values)}var OF={kernelName:El,backendName:\"cpu\",kernelFunc:PJ};function LJ(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,{filterSize:i,strides:a,pad:u,dimRoundingMode:l}=n;tt([o,s],\"avgPool3DGrad\");let c=v.computePool3DInfo(s.shape,i,a,1,u,l),p=c.strideDepth,m=c.strideHeight,f=c.strideWidth,d=c.filterDepth,h=c.filterHeight,g=c.filterWidth,x=c.dilationDepth,b=c.dilationHeight,w=c.dilationWidth,C=c.effectiveFilterDepth,N=c.effectiveFilterHeight,_=c.effectiveFilterWidth,A=C-1-c.padInfo.front,$=_-1-c.padInfo.left,F=N-1-c.padInfo.top,P=wt(s.shape,\"float32\"),V=1/(d*h*g),G=e.bufferSync(o);for(let W=0;W=c.outDepth||Math.floor(nt)!==nt))for(let it=0;it=c.outHeight||Math.floor(dt)!==dt))for(let ht=0;ht<_;ht+=w){let bt=(rt+ht)/f;if(bt<0||bt>=c.outWidth||Math.floor(bt)!==bt)continue;ot+=G.get(W,nt,dt,bt,q)}}}P.set(ot*V,W,H,j,Y,q)}return e.makeTensorInfo(P.shape,P.dtype,P.values)}var PF={kernelName:lp,backendName:\"cpu\",kernelFunc:LJ};function MJ(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s;tt([o,s],\"avgPoolGrad\");let{filterSize:a,strides:u,pad:l}=n,c=v.computePool2DInfo(i.shape,a,u,1,l),p=c.strideHeight,m=c.strideWidth,f=c.filterHeight,d=c.filterWidth,h=c.dilationHeight,g=c.dilationWidth,x=c.effectiveFilterHeight,b=c.effectiveFilterWidth,w=b-1-c.padInfo.left,C=x-1-c.padInfo.top,N=wt(i.shape,\"float32\"),_=1/(f*d),A=e.data.get(o.dataId).values,$=wt(o.shape,\"float32\",A);for(let F=0;F=c.outHeight||Math.floor(Y)!==Y))for(let Z=0;Z=c.outWidth||Math.floor(et)!==et)continue;H+=$.get(F,Y,et,P)}}N.set(H*_,F,V,G,P)}return e.makeTensorInfo(N.shape,N.dtype,N.values)}var LF={kernelName:ap,backendName:\"cpu\",kernelFunc:MJ};function zJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,scale:s,offset:i,mean:a,variance:u}=t;y.assert(a.shape.length===u.shape.length,()=>\"Batch normalization gradient requires mean and variance to have equal ranks.\"),y.assert(i==null||a.shape.length===i.shape.length,()=>\"Batch normalization gradient requires mean and offset to have equal ranks.\"),y.assert(s==null||a.shape.length===s.shape.length,()=>\"Batch normalization gradient requires mean and scale to have equal ranks.\"),tt([o,a,u,s,i],\"batchNorm\");let{varianceEpsilon:l}=n;l==null&&(l=.001);let c=e.data.get(o.dataId).values,p=e.data.get(a.dataId).values,m=e.data.get(u.dataId).values,f=s?e.data.get(s.dataId).values:new Float32Array([1]),d=i?e.data.get(i.dataId).values:new Float32Array([0]),h=new Float32Array(c.length),g=d.length,x=f.length,b=m.length,w=p.length,C=0,N=0,_=0,A=0;for(let $=0;$=g&&(C=0),N>=w&&(N=0),_>=x&&(_=0),A>=b&&(A=0);return e.makeTensorInfo(o.shape,o.dtype,h)}var MF={kernelName:os,backendName:\"cpu\",kernelFunc:zJ};function BJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,crops:i}=n;tt([o],\"batchToSpaceND\");let a=s.reduce((x,b)=>x*b),u=v.getReshaped(o.shape,s,a),l=v.getPermuted(u.length,s.length),c=v.getReshapedPermuted(o.shape,s,a),p=v.getSliceBeginCoords(i,s.length),m=v.getSliceSize(c,i,s.length),f=Yt({inputs:{x:o},backend:e,attrs:{shape:u}}),d=Ve({inputs:{x:f},backend:e,attrs:{perm:l}}),h=Yt({inputs:{x:d},backend:e,attrs:{shape:c}}),g=Fo({inputs:{x:h},backend:e,attrs:{begin:p,size:m}});return e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(h),g}var zF={kernelName:ai,backendName:\"cpu\",kernelFunc:BJ};function VJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,weights:s}=t,{size:i}=n,a=e.data.get(o.dataId).values,u=e.data.get(s.dataId).values,l=sd(a,u,s.dtype,s.shape,i);return e.makeTensorInfo([i],s.dtype,l)}var BF={kernelName:up,backendName:\"cpu\",kernelFunc:VJ};function GJ(r){let{inputs:t,backend:e}=r,{s0:n,s1:o}=t,s=e.data.get(n.dataId).values,i=e.data.get(o.dataId).values,a=v.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return e.makeTensorInfo([a.length],\"int32\",Int32Array.from(a))}var VF={kernelName:cp,backendName:\"cpu\",kernelFunc:GJ};var WJ=kt(uo,(r,t)=>{let e=t;return r>e.clipValueMax?e.clipValueMax:r{let{x:t}=r.inputs,e=r.backend,n=new Float32Array(y.sizeFromShape(t.shape)),o=e.data.get(t.dataId),s=o.complexTensorInfos.real,i=o.complexTensorInfos.imag,a=e.data.get(s.dataId).values,u=e.data.get(i.dataId).values;for(let l=0;lh.shape);v.assertParamsConsistent(i,s);let a=v.computeOutShape(t.map(h=>h.shape),s);if(y.sizeFromShape(a)===0)return e.makeTensorInfo(a,t[0].dtype,[]);let u=t.filter(h=>y.sizeFromShape(h.shape)>0);if(u.length===1)return Kr({inputs:{x:u[0]},backend:e});if(u[0].dtype===\"complex64\"){let h=u.map(C=>Ao({inputs:{input:C},backend:e})),g=u.map(C=>ji({inputs:{input:C},backend:e})),x=Tu({inputs:h,backend:e,attrs:{axis:s}}),b=Tu({inputs:g,backend:e,attrs:{axis:s}}),w=wr({inputs:{real:x,imag:b},backend:e});return h.forEach(C=>e.disposeIntermediateTensorInfo(C)),g.forEach(C=>e.disposeIntermediateTensorInfo(C)),e.disposeIntermediateTensorInfo(x),e.disposeIntermediateTensorInfo(b),w}let l=u.map(h=>{let g=y.sizeFromShape(h.shape.slice(s));return Yt({inputs:{x:h},backend:e,attrs:{shape:[-1,g]}})}),c=l.map(h=>({vals:e.data.get(h.dataId).values,shape:h.shape}));a=v.computeOutShape(l.map(h=>h.shape),1);let p=l[0].shape[0]===1,m=Ec(c,a,t[0].dtype,p),f=v.computeOutShape(u.map(h=>h.shape),s),d=e.makeTensorInfo(f,t[0].dtype,m);return l.forEach(h=>e.disposeIntermediateTensorInfo(h)),d}var HF={kernelName:li,backendName:\"cpu\",kernelFunc:Tu};function dT(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dataFormat:u,dilations:l,dimRoundingMode:c}=n;tt([o,s],\"conv2d\");let p=v.convertConv2DDataFormat(u),m=v.computeConv2DInfo(o.shape,s.shape,i,l,a,c,!1,p),f=m.filterHeight,d=m.filterWidth,h=m.dilationHeight,g=m.dilationWidth,x=m.padInfo.left,b=m.padInfo.top,w=m.dataFormat===\"channelsLast\",C=new pe(m.outShape,o.dtype),N=y.computeStrides(o.shape),_=y.computeStrides(s.shape),A=N[0],$=w?N[1]:N[2],F=w?N[2]:1,P=w?1:N[1],V=C.strides[0],G=w?C.strides[1]:C.strides[2],W=w?C.strides[2]:1,q=w?1:C.strides[1],H=e.data.get(o.dataId).values,j=e.data.get(s.dataId).values,Y=C.values;for(let Z=0;Z=m.inHeight)continue;let ht=it*_[0],bt=et+dt*$;for(let Et=0;Et=m.inWidth)continue;let he=ht+Zt*_[1],jt=bt+ce*F,ke=he;for(let fe=0;fe=l.inDepth)continue;let Z=j*F[0],et=V+Y*$[1];for(let rt=0;rt=l.inHeight)continue;let dt=Z+nt*F[1],ht=et+it*$[2];for(let bt=0;bt=l.inWidth)continue;let ce=dt+Vt*F[2],he=ht+Zt*l.inChannels,jt=ce;for(let ke=0;keMath.cos(r)),JF={kernelName:Xo,backendName:\"cpu\",kernelFunc:YJ};var ZJ=kt(Yo,r=>Math.cosh(r)),QF={kernelName:Yo,backendName:\"cpu\",kernelFunc:ZJ};function JJ(r){let{inputs:t,backend:e,attrs:n}=r,{image:o,boxes:s,boxInd:i}=t,{cropSize:a,method:u,extrapolationValue:l}=n,[c,p,m,f]=o.shape,d=s.shape[0],[h,g]=a,x=wt([d,h,g,f],\"float32\"),b=e.data.get(s.dataId).values,w=e.data.get(i.dataId).values,C=e.data.get(o.dataId).values,N=y.computeStrides(o.shape),_=y.computeStrides(x.shape);for(let A=0;A=c)continue;let q=h>1?(V-F)*(p-1)/(h-1):0,H=g>1?(G-P)*(m-1)/(g-1):0;for(let j=0;j1?F*(p-1)+j*q:.5*(F+V)*(p-1);if(Y<0||Y>p-1){for(let Z=0;Z1?P*(m-1)+ot*H:.5*(P+G)*(m-1);if(at<0||at>m-1){for(let ht=0;ht1?P*(m-1)+Z*H:.5*(P+G)*(m-1);if(et<0||et>m-1){for(let at=0;atx+d-b-1:(x,b)=>x+b;for(let x=0;xx+d-b-1:(x,b)=>x+b;for(let x=0;x`Only NHWC dataFormat supported on CPU for depthToSpace. Got ${i}`);let a=o.shape[0],u=o.shape[1],l=o.shape[2],c=o.shape[3],p=u*s,m=l*s,f=c/(s*s),d=e.data.get(o.dataId).values,h=new Float32Array(a*p*m*f),g=0;for(let x=0;x`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${m}'`);let f=v.computeConv2DInfo(o.shape,s.shape,i,m,a,l,!0),{filterHeight:d,filterWidth:h,dilationHeight:g,dilationWidth:x,padInfo:b}=f,w=b.left,C=b.top,N=f.outChannels/f.inChannels,_=new pe(f.outShape,o.dtype),A=e.data.get(o.dataId).values,$=e.data.get(s.dataId).values,F=_.values;for(let P=0;P=f.inHeight)continue;let Z=j*p[0],et=V+Y*c[1];for(let rt=0;rt=f.inWidth)continue;let dt=Z+nt*p[1],ht=et+it*f.inChannels,bt=ot,Et=dt;for(let At=0;At{let{x:n,filter:o}=r,{strides:s,pad:i,dilations:a}=e,u=t,l=u.data.get(n.dataId).values,c=n.shape.length,p=u.data.get(o.dataId).values,m=o.shape.length,{batchSize:f,inHeight:d,inWidth:h,inChannels:g,outHeight:x,outWidth:b,padInfo:w,strideHeight:C,strideWidth:N,filterHeight:_,filterWidth:A,dilationHeight:$,dilationWidth:F,outShape:P}=v.computeDilation2DInfo(n.shape,o.shape,s,i,\"NHWC\",a),V=y.sizeFromShape(P),G=P.length,W=y.getArrayFromDType(n.dtype,V);for(let H=0;H=0&&it=0&&htot&&(ot=At)}}}let at=y.locToIndex([H,j,Z,rt],G,y.computeStrides(P));W[at]=ot}}}return{dataId:u.write(y.toTypedArray(W,n.dtype),P,n.dtype),shape:P,dtype:n.dtype}}};var cO={kernelName:Xd,backendName:\"cpu\",kernelFunc:({inputs:r,backend:t,attrs:e})=>{let{x:n,filter:o,dy:s}=r,{strides:i,pad:a,dilations:u}=e,l=t,c=y.toNestedArray(n.shape,l.data.get(n.dataId).values),p=y.toNestedArray(o.shape,l.data.get(o.dataId).values),{batchSize:m,inHeight:f,inWidth:d,inChannels:h,outHeight:g,outWidth:x,padInfo:b,strideHeight:w,strideWidth:C,filterHeight:N,filterWidth:_,dilationHeight:A,dilationWidth:$,outShape:F}=v.computeDilation2DInfo(n.shape,o.shape,i,a,\"NHWC\",u);y.assert(s.rank===F.length,()=>`Error in ${Xd}, dy must have the same rank as output ${F.length}, but got ${s.rank}`);let P=y.toNestedArray(F,l.data.get(s.dataId).values),V=y.makeZerosNestedTypedArray(o.shape,o.dtype);for(let W=0;W=0&&nt=0&&dtet&&(et=ht,rt=at,ot=it)}}}V[rt][ot][Z]+=P[W][q][j][Z]}}}return{dataId:l.write(y.toTypedArray(V,n.dtype),o.shape,o.dtype),shape:o.shape,dtype:o.dtype}}};var pO={kernelName:jd,backendName:\"cpu\",kernelFunc:({inputs:r,backend:t,attrs:e})=>{let{x:n,filter:o,dy:s}=r,{strides:i,pad:a,dilations:u}=e,l=t,c=y.toNestedArray(n.shape,l.data.get(n.dataId).values),p=y.toNestedArray(o.shape,l.data.get(o.dataId).values),{batchSize:m,inHeight:f,inWidth:d,inChannels:h,outHeight:g,outWidth:x,padInfo:b,strideHeight:w,strideWidth:C,filterHeight:N,filterWidth:_,dilationHeight:A,dilationWidth:$,outShape:F}=v.computeDilation2DInfo(n.shape,o.shape,i,a,\"NHWC\",u);y.assert(s.rank===F.length,()=>`Error in ${jd}, dy must have the same rank as output ${F.length}, but got ${s.rank}`);let P=y.toNestedArray(F,l.data.get(s.dataId).values),V=y.makeZerosNestedTypedArray(n.shape,n.dtype);for(let W=0;W=0&&nt=0&&dtet&&(et=ht,rt=nt,ot=dt)}}}V[W][rt][ot][Z]+=P[W][q][j][Z]}}}return{dataId:l.write(y.toTypedArray(V,n.dtype),n.shape,n.dtype),shape:n.shape,dtype:n.dtype}}};function hl(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n;tt(o,\"sum\");let a;o.dtype===\"bool\"?a=$o({inputs:{x:o},backend:e,attrs:{dtype:\"int32\"}}):a=Kr({inputs:{x:o},backend:e});let u=a.shape.length,l=y.parseAxisParam(s,a.shape),c=v.getAxesPermutation(l,u),p=l,m=a;c!=null&&(m=Ve({inputs:{x:a},backend:e,attrs:{perm:c}}),p=v.getInnerMostAxes(p.length,u)),v.assertAxesAreInnerMostDims(\"sum\",p,m.shape.length);let[f,d]=v.computeOutAndReduceShapes(m.shape,p),h=v.upcastType(m.dtype,\"int32\"),g=nd(e,f,h),x=y.sizeFromShape(d),b=e.data.get(g.dataId).values,w=e.data.get(m.dataId).values;for(let C=0;C=0&&(m=hl({inputs:{x:m},backend:e,attrs:{axis:l[h]-(i.length-f),keepDims:!1}}),d.push(m)),f--)}for(let h of d)h!==m&&e.disposeIntermediateTensorInfo(h);return m}var fO={kernelName:bp,backendName:\"cpu\",kernelFunc:iQ};function aQ(r){let{inputs:t,backend:e}=r,{dy:n,y:o}=t;tt([n,o],\"eluGrad\");let s=new Float32Array(y.sizeFromShape(o.shape)),i=e.data.get(o.dataId).values,a=e.data.get(n.dataId).values;for(let u=0;u=1?s[u]=a[u]:s[u]=a[u]*(l+1)}return e.makeTensorInfo(o.shape,\"float32\",s)}var dO={kernelName:wp,backendName:\"cpu\",kernelFunc:aQ};var lQ=v.ERF_P,uQ=v.ERF_A1,cQ=v.ERF_A2,pQ=v.ERF_A3,mQ=v.ERF_A4,fQ=v.ERF_A5,dQ=kt(ga,r=>{let t=Math.sign(r),e=Math.abs(r),n=1/(1+lQ*e);return t*(1-((((fQ*n+mQ)*n+pQ)*n+cQ)*n+uQ)*n*Math.exp(-e*e))}),hO={kernelName:ga,backendName:\"cpu\",kernelFunc:dQ};function cd(r){let{inputs:t,backend:e,attrs:n}=r,{input:o}=t,{dim:s}=n,i=o.shape.length,a=o.shape.slice(),u=s;return s<0&&(y.assert(-(i+1)<=s,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),u=i+s+1),a.splice(u,0,1),Yt({inputs:{x:o},backend:e,attrs:{shape:a}})}var gO={kernelName:ui,backendName:\"cpu\",kernelFunc:cd};var hQ=Qt((r,t)=>r/t),Wh=oe(Qo,hQ),Uh={kernelName:Qo,backendName:\"cpu\",kernelFunc:Wh};function hw(r,t,e){let n=r.shape,o=n[0],s=n[1],i=e.data.get(r.dataId),a=i.complexTensorInfos.real,u=i.complexTensorInfos.imag,l=[o,s],c=y.sizeFromShape(l),p=y.getTypedArrayFromDType(\"float32\",c),m=y.getTypedArrayFromDType(\"float32\",c);for(let g=0;g{let{image:n}=r,o=e,s=y.getTypedArrayFromDType(n.dtype,y.sizeFromShape(n.shape)),[i,a,u,l]=n.shape,c=o.data.get(n.dataId).values;for(let m=0;m=0&&wMath.floor(r/t)),IQ=oe(ns,CQ,null,\"int32\"),wO={kernelName:ns,backendName:\"cpu\",kernelFunc:IQ};function SQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=n,h=dT({inputs:{x:o,filter:s},backend:e,attrs:{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m}});if(i){let g=h;if(c===\"NCHW\"&&i.shape.length===1&&i.shape[0]!==1){let x=Yt({inputs:{x:i},backend:e,attrs:{shape:[i.shape[0],1,1]}});h=Ki({inputs:{a:h,b:x},backend:e}),e.disposeIntermediateTensorInfo(x)}else h=Ki({inputs:{a:h,b:i},backend:e});e.disposeIntermediateTensorInfo(g)}if(f){let g=h;if(c===\"NCHW\"&&f===\"prelu\"&&a.shape.length===1&&a.shape[0]!==1){let x=Yt({inputs:{x:a},backend:e,attrs:{shape:[a.shape[0],1,1]}});h=Oc(e,h,f,x,d),e.disposeIntermediateTensorInfo(x)}else h=Oc(e,h,f,a,d);e.disposeIntermediateTensorInfo(g)}return h}var CO={kernelName:Ii,backendName:\"cpu\",kernelFunc:SQ};function vQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=n,h=hT({inputs:{x:o,filter:s},backend:e,attrs:{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m}});if(i){let g=h;h=Ki({inputs:{a:h,b:i},backend:e}),e.disposeIntermediateTensorInfo(g)}if(f){let g=h;h=Oc(e,h,f,a,d),e.disposeIntermediateTensorInfo(g)}return h}var IO={kernelName:Si,backendName:\"cpu\",kernelFunc:vQ};function NQ(r){let{inputs:t,backend:e}=r,{params:n,indices:o}=t,s=y.sizeFromShape(n.shape),i=o.shape,a=i[i.length-1],[u,l,c,p]=v.prepareAndValidate(n,o);if(l===0)return e.makeTensorInfo(u,n.dtype,[]);let m=e.data.get(o.dataId).values,f=e.bufferSync(n),d=Qb(m,f,n.dtype,l,a,c,p,n.shape,s);return e.makeTensorInfo(u,n.dtype,d.values)}var SO={kernelName:wa,backendName:\"cpu\",kernelFunc:NQ};function TQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,indices:s}=t,{axis:i,batchDims:a}=n;tt([o,s],\"gatherV2\");let u=y.parseAxisParam(i,o.shape)[0],l=e.data.get(s.dataId).values,c=o.shape[u];for(let C=0;C=0,()=>`GatherV2: the index value ${N} is not in [0, ${c-1}]`)}let p=a;a==null&&(p=0);let m=y.sizeFromShape(s.shape),f=v.segment_util.collectGatherOpShapeInfo(o,s,u,p),d=Yt({inputs:{x:o},backend:e,attrs:{shape:[f.batchSize,f.outerSize,f.dimSize,f.sliceSize]}}),h=Yt({inputs:{x:s},backend:e,attrs:{shape:[f.batchSize,m/f.batchSize]}}),g=[f.batchSize,f.outerSize,m/f.batchSize,f.sliceSize],x=e.bufferSync(h),b=e.bufferSync(d),w=tw(b,x,g);return e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(h),e.makeTensorInfo(f.outputShape,w.dtype,w.values)}var vO={kernelName:ci,backendName:\"cpu\",kernelFunc:TQ};function kQ(r){let{inputs:t,backend:e}=r,{input:n}=t,o=y.sizeFromShape(n.shape),s=n.shape[n.shape.length-1],i=o/s,a=Yt({inputs:{x:n},backend:e,attrs:{shape:[i,s]}}),u=hw(a,!0,e),l=Yt({inputs:{x:u},backend:e,attrs:{shape:n.shape}});return e.disposeIntermediateTensorInfo(a),e.disposeIntermediateTensorInfo(u),l}var NO={kernelName:Ip,backendName:\"cpu\",kernelFunc:kQ};var EQ=kt(Ia,r=>Number.isFinite(r)?1:0,\"bool\"),TO={kernelName:Ia,backendName:\"cpu\",kernelFunc:EQ};var _Q=kt(Sa,r=>Math.abs(r)===1/0?1:0,\"bool\"),kO={kernelName:Sa,backendName:\"cpu\",kernelFunc:_Q};var AQ=kt(va,r=>Number.isNaN(r)?1:0,\"bool\"),EO={kernelName:va,backendName:\"cpu\",kernelFunc:AQ};function $Q(r){let{backend:t,attrs:e}=r,{start:n,stop:o,num:s}=e,i=ew(n,o,s);return t.makeTensorInfo([i.length],\"float32\",i)}var _O={kernelName:vp,backendName:\"cpu\",kernelFunc:$Q};var DQ=kt(ka,r=>Math.log1p(r)),AO={kernelName:ka,backendName:\"cpu\",kernelFunc:DQ};var RQ=Qt((r,t)=>r&&t),FQ=oe(Ea,RQ,null,\"bool\"),$O={kernelName:Ea,backendName:\"cpu\",kernelFunc:FQ};var OQ=kt(_a,r=>r?0:1,\"bool\"),DO={kernelName:_a,backendName:\"cpu\",kernelFunc:OQ};var PQ=Qt((r,t)=>r||t),LQ=oe(Aa,PQ,null,\"bool\"),RO={kernelName:Aa,backendName:\"cpu\",kernelFunc:LQ};function MQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{depthRadius:s,bias:i,alpha:a,beta:u}=n;tt(o,\"LRN\");let l=o.shape[3],c=l-1,p=e.data.get(o.dataId).values,m=y.sizeFromShape(o.shape),f=new Float32Array(m);function d(h){let g=h%l,x=h-g+Math.max(0,g-s),b=h-g+Math.min(g+s,c),w=0;for(;x<=b;x++){let C=p[x];w+=C*C}return w}for(let h=0;h`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);let c=v.computePool2DInfo(o.shape,s,i,l,a,u),p;if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))p=Kr({inputs:{x:o},backend:e});else{let m=e.data.get(o.dataId).values,f=y.computeStrides(o.shape),d=ud(m,o.shape,o.dtype,f,c,\"max\");p=e.makeTensorInfo(c.outShape,o.dtype,d.values)}return p}var LO={kernelName:cs,backendName:\"cpu\",kernelFunc:BQ};function VQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{filterSize:s,strides:i,pad:a,dimRoundingMode:u,dataFormat:l}=n;tt(o,\"maxPool3d\");let c=v.computePool3DInfo(o.shape,s,i,1,a,u,l),p=e.data.get(o.dataId).values,m=dw(p,o.shape,o.dtype,y.computeStrides(o.shape),c,\"max\");return e.makeTensorInfo(m.shape,\"float32\",m.values)}var MO={kernelName:Fl,backendName:\"cpu\",kernelFunc:VQ};function GQ(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,{filterSize:i,strides:a,pad:u,dimRoundingMode:l}=n;tt([o,s],\"maxPool3DGrad\");let c=v.computePool3DInfo(s.shape,i,a,1,u,l),p=e.bufferSync(s),m=RF(p,c),f=c.strideDepth,d=c.strideHeight,h=c.strideWidth,g=c.dilationDepth,x=c.dilationHeight,b=c.dilationWidth,w=c.effectiveFilterDepth,C=c.effectiveFilterHeight,N=c.effectiveFilterWidth,_=w-1-c.padInfo.front,A=N-1-c.padInfo.left,$=C-1-c.padInfo.top,F=wt(s.shape,\"float32\"),P=e.bufferSync(o);for(let V=0;V=c.outDepth||Math.floor(ot)!==ot))for(let at=0;at=c.outHeight||Math.floor(nt)!==nt))for(let it=0;it=c.outWidth||Math.floor(dt)!==dt)continue;let ht=w*C*N-1-m.get(V,ot,nt,dt,G),bt=rt*C*N+at*N+it,Et=ht===bt?1:0;if(Et===0)continue;et+=P.get(V,ot,nt,dt,G)*Et}}}F.set(et,V,W,q,H,G)}return e.makeTensorInfo(F.shape,F.dtype,F.values)}var zO={kernelName:kp,backendName:\"cpu\",kernelFunc:GQ};function WQ(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s,output:i}=t,a=s;tt([s,i],\"maxPoolGrad\");let{filterSize:u,strides:l,pad:c,dimRoundingMode:p}=n,m=v.computePool2DInfo(a.shape,u,l,1,c,p),f=e.data.get(a.dataId).values,d=wt(m.outShape,a.dtype,fw(f,a.shape,a.dtype,m).values),h=m.strideHeight,g=m.strideWidth,x=m.dilationHeight,b=m.dilationWidth,w=m.effectiveFilterHeight,C=m.effectiveFilterWidth,N=C-1-m.padInfo.left,_=w-1-m.padInfo.top,A=wt(a.shape,\"float32\"),$=e.data.get(o.dataId).values,F=wt(o.shape,\"float32\",$);for(let P=0;P=m.outHeight||Math.floor(Z)!==Z))for(let et=0;et=m.outWidth||Math.floor(rt)!==rt)continue;let ot=w*C-1-d.get(P,Z,rt,V),at=Y*C+et,nt=ot===at?1:0;if(nt===0)continue;j+=F.get(P,Z,rt,V)*nt}}A.set(j,P,G,W,V)}return e.makeTensorInfo(A.shape,A.dtype,A.values)}var BO={kernelName:Tp,backendName:\"cpu\",kernelFunc:WQ};function VO(r,t,e,n,o){let s=y.computeStrides(t),i=ud(r,t,e,s,o,\"max\"),a=fw(r,t,e,o,!0,n);return[i.values,a.values]}var GO={kernelName:Ep,backendName:\"cpu\",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{x:n}=r,{filterSize:o,strides:s,pad:i,includeBatchInIndex:a}=t,u=e;tt(n,\"MaxPoolWithArgmax\");let l=u.data.get(n.dataId).values,c=v.computePool2DInfo(n.shape,o,s,[1,1],i),[p,m]=VO(l,n.shape,n.dtype,a,c),f=u.write(p,c.outShape,n.dtype),d=u.write(m,c.outShape,n.dtype);return[{dataId:f,shape:c.outShape,dtype:n.dtype},{dataId:d,shape:c.outShape,dtype:\"int32\"}]}};function UQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=y.parseAxisParam(s,o.shape),l=v.computeOutAndReduceShapes(o.shape,a)[1],c=y.sizeFromShape(l),p=[],m=e.makeTensorInfo([],\"float32\",new Float32Array([c]));p.push(m);let f=$o({inputs:{x:o},backend:e,attrs:{dtype:\"float32\"}});p.push(f);let d=Wh({inputs:{a:f,b:m},backend:e});p.push(d);let h=hl({inputs:{x:d},backend:e,attrs:{axis:s,keepDims:i}});return p.forEach(g=>e.disposeIntermediateTensorInfo(g)),h}var WO={kernelName:ps,backendName:\"cpu\",kernelFunc:UQ};function HQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n;tt(o,\"min\");let a=y.parseAxisParam(s,o.shape),u=a,l=v.getAxesPermutation(u,o.shape.length),c=o;l!=null&&(c=Ve({inputs:{x:o},backend:e,attrs:{perm:l}}),u=v.getInnerMostAxes(u.length,o.shape.length)),v.assertAxesAreInnerMostDims(\"min\",u,c.shape.length);let[p,m]=v.computeOutAndReduceShapes(c.shape,u),f=y.sizeFromShape(m),d=y.makeZerosTypedArray(y.sizeFromShape(p),c.dtype),h=e.data.get(c.dataId).values;for(let x=0;xw[0]+o.shape[C]+w[1]),u=s.map(w=>w[0]),l=s.map((w,C)=>w[0]+o.shape[C]),c=i===\"reflect\"?0:1,p=e.data.get(o.dataId).values,m=o.shape.length,f=y.computeStrides(o.shape),d=y.sizeFromShape(a),h=a.length,g=y.computeStrides(a),x=y.getTypedArrayFromDType(o.dtype,d);for(let w=0;w=l[_]&&(C[_]=(l[_]-1)*2-C[_]+c);C=C.map((_,A)=>_-u[A]);let N=y.locToIndex(C,m,f);x[w]=p[N]}return{dataId:e.write(x,a,o.dtype),shape:a,dtype:o.dtype}}var HO={kernelName:ds,backendName:\"cpu\",kernelFunc:qQ};var KQ=Qt((r,t)=>{let e=r%t;return r<0&&t<0||r>=0&&t>=0?e:(e+t)%t}),jQ=oe($a,KQ),qO={kernelName:$a,backendName:\"cpu\",kernelFunc:jQ};var jO=Tl(fh());function yT(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{dim:s}=n,i=o.shape.length,a=s;if(a===-1&&(a=i-1),a!==i-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${i} and dim was ${a}`);let u=y.parseAxisParam([a],o.shape),l=xT({inputs:{x:o},backend:e,attrs:{reductionIndices:u,keepDims:!1}}),c=v.expandShapeToKeepDim(l.shape,u),p=Yt({inputs:{x:l},backend:e,attrs:{shape:c}}),m=Vh({inputs:{a:o,b:p},backend:e}),f=UN({inputs:{x:m},backend:e}),d=hl({inputs:{x:f},backend:e,attrs:{axis:u,keepDims:!1}}),h=Yt({inputs:{x:d},backend:e,attrs:{shape:c}}),g=Wh({inputs:{a:f,b:h},backend:e});return e.disposeIntermediateTensorInfo(l),e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(h),g}var KO={kernelName:Ds,backendName:\"cpu\",kernelFunc:yT};function XQ(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{numSamples:s,seed:i,normalized:a}=n;tt(o,\"multinomial\");let u=a?o:yT({inputs:{logits:o},backend:e,attrs:{dim:-1}}),l=u.shape[0],c=u.shape[1],p=e.data.get(u.dataId).values,m=[l,s],f=y.makeZerosTypedArray(y.sizeFromShape(m),\"int32\");for(let d=0;d=0&&p[m]{y.assertShapesMatch(s,c.shape,\"All tensors passed to stack must have matching shapes\"),y.assert(i===c.dtype,()=>\"All tensors passed to stack must have matching dtypes\")});let a=[],u=t.map(c=>{let p=cd({inputs:{input:c},backend:e,attrs:{dim:o}});return a.push(p),p}),l=Tu({inputs:u,backend:e,attrs:{axis:o}});return a.forEach(c=>e.disposeIntermediateTensorInfo(c)),l}var nP={kernelName:fi,backendName:\"cpu\",kernelFunc:bT};function n9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{paddings:s,constantValue:i}=n;tt(o,\"pad\");let a=s.map((b,w)=>b[0]+o.shape[w]+b[1]),u=s.map(b=>b[0]),l=e.data.get(o.dataId).values,c=y.sizeFromShape(o.shape),p=o.shape.length,m=y.computeStrides(o.shape),f=y.sizeFromShape(a),d=a.length,h=y.computeStrides(a),g=y.getTypedArrayFromDType(o.dtype,f);i!==0&&g.fill(i);for(let b=0;b_+u[A]),N=y.locToIndex(C,d,h);g[N]=l[b]}return{dataId:e.write(g,a,o.dtype),shape:a,dtype:o.dtype}}var gw={kernelName:xs,backendName:\"cpu\",kernelFunc:n9};var o9=Qt((r,t)=>Math.pow(r,t)),s9=oe(ys,o9),oP={kernelName:ys,backendName:\"cpu\",kernelFunc:s9};function i9(r){let{inputs:t,backend:e,attrs:n}=r,{paramsNestedSplits:o,paramsDenseValues:s,indices:i}=t,{outputRaggedRank:a}=n,u=o.map(x=>e.data.get(x.dataId).values),l=o.map(x=>x.shape),c=e.data.get(s.dataId).values,p=e.data.get(i.dataId).values,[m,f,d]=nw(u,l,c,s.shape,s.dtype,p,i.shape,a),h=m.map(x=>e.makeTensorInfo([x.length],\"int32\",x)),g=e.makeTensorInfo(d,s.dtype,f);return h.concat([g])}var sP={kernelName:Ap,backendName:\"cpu\",kernelFunc:i9};function a9(r){let{inputs:t,backend:e}=r,{starts:n,limits:o,deltas:s}=t,i=e.data.get(n.dataId).values,a=e.data.get(o.dataId).values,u=e.data.get(s.dataId).values,[l,c]=ow(i,n.shape,n.dtype,a,o.shape,u,s.shape),p=e.makeTensorInfo([l.length],\"int32\",l),m=e.makeTensorInfo([c.length],n.dtype,c);return[p,m]}var iP={kernelName:$p,backendName:\"cpu\",kernelFunc:a9};function l9(r){let{inputs:t,backend:e,attrs:n}=r,{shape:o,values:s,defaultValue:i,rowPartitionTensors:a}=t,{rowPartitionTypes:u}=n,l=e.data.get(o.dataId).values,c=e.data.get(s.dataId).values,p=e.data.get(i.dataId).values,m=a.map(g=>e.data.get(g.dataId).values),f=a.map(g=>g.shape),[d,h]=sw(l,o.shape,c,s.shape,s.dtype,p,i.shape,m,f,u);return e.makeTensorInfo(d,s.dtype,h)}var aP={kernelName:Dp,backendName:\"cpu\",kernelFunc:l9};function u9(r){let{backend:t,attrs:e}=r,{start:n,stop:o,dtype:s,step:i}=e,a=Ac(n,o,i,s);return t.makeTensorInfo([a.length],s,a)}var lP={kernelName:Ol,backendName:\"cpu\",kernelFunc:u9};var c9=kt(Pa,r=>1/r),uP={kernelName:Pa,backendName:\"cpu\",kernelFunc:c9};function p9(r){let{inputs:t,backend:e,attrs:n}=r,{images:o}=t,{alignCorners:s,halfPixelCenters:i,size:a}=n;tt(o,\"resizeBilinear\");let u=y.computeStrides(o.shape),[l,c]=a,[p,m,f,d]=o.shape,h=e.data.get(o.dataId).values,g=new Float32Array(y.sizeFromShape([p,l,c,d])),x=[s&&l>1?m-1:m,s&&c>1?f-1:f],b=[s&&l>1?l-1:l,s&&c>1?c-1:c],w=0,C=x[0]/b[0],N=x[1]/b[1];for(let _=0;_1?l-1:l,i&&f>1?c-1:c],g=[i&&m>1?m-1:m,i&&f>1?f-1:f],x=h[0]/g[0],b=h[1]/g[1],w=e.data.get(s.dataId).values,C=0;for(let N=0;N1?m-1:m,s&&c>1?f-1:f],b=[s&&l>1?l-1:l,s&&c>1?c-1:c],w=x[0]/b[0],C=x[1]/b[1],N=0;for(let _=0;_1?c-1:c,i&&d>1?p-1:p],b=[i&&f>1?f-1:f,i&&d>1?d-1:d],w=x[0]/b[0],C=x[1]/b[1],N=1/w,_=1/C,A=Math.ceil(N)*2+2,$=Math.ceil(_)*2+2;for(let F=0;F=f)continue;let nt=P+at*u[1],it=at*w,dt=Math.min(c-1,i?Math.round(it):Math.floor(it));if(V===dt)for(let ht=0;ht<$;ht++){let bt=ht+Z;if(bt<0||bt>=d)continue;let Et=nt+bt*u[2],At=bt*C,Vt=Math.min(p-1,i?Math.round(At):Math.floor(At));H===Vt&&(rt+=g[Et+et])}}h[j+et]=rt}}}}return e.makeTensorInfo(o.shape,o.dtype,h)}var fP={kernelName:Fp,backendName:\"cpu\",kernelFunc:d9};function h9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dims:s}=n;tt(o,\"reverse\");let i=o.shape.length,a=y.parseAxisParam(s,o.shape);if(i===0)return Kr({inputs:{x:o},backend:e});let u=new pe(o.shape,o.dtype),l=e.bufferSync(o);for(let c=0;cm[f]=o.shape[f]-1-m[f]),u.set(l.get(...m),...p)}return e.makeTensorInfo(u.shape,u.dtype,u.values)}var dP={kernelName:Ns,backendName:\"cpu\",kernelFunc:h9};var hP={kernelName:qa,backendName:\"cpu\",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{image:n}=r,{radians:o,fillValue:s,center:i}=t,a=e,u=y.getTypedArrayFromDType(n.dtype,y.sizeFromShape(n.shape)),[l,c,p,m]=n.shape,[f,d]=v.getImageCenter(i,c,p),h=255,g=Math.sin(o),x=Math.cos(o),b=a.data.get(n.dataId).values;for(let C=0;C=0&&q=0&&H{let t=Math.floor(r);return r-t<.5?Math.floor(r):r-t>.5?Math.ceil(r):t%2===0?t:t+1}),gP={kernelName:Ts,backendName:\"cpu\",kernelFunc:g9};function x9(r){let{inputs:t,backend:e,attrs:n}=r,{indices:o,updates:s}=t,{shape:i}=n,{sliceRank:a,numUpdates:u,sliceSize:l,strides:c,outputSize:p}=v.calculateShapes(s,o,i),m=!0,f=e.bufferSync(o),d=e.bufferSync(s),h=dl(f,d,i,p,l,u,a,c,0,m);return e.makeTensorInfo(i,h.dtype,h.values)}var xP={kernelName:La,backendName:\"cpu\",kernelFunc:x9};function y9(r,t){let e=0,n=r.length,o=0;for(;e1||o.shape.length===1?1:y.sizeFromShape(o.shape.slice(1));for(let d=0;dr>=0?S9*r:I9*(Math.exp(r)-1)),CP={kernelName:Ma,backendName:\"cpu\",kernelFunc:v9};var N9=kt(Ba,r=>r<0?-1:r>0?1:0),IP={kernelName:Ba,backendName:\"cpu\",kernelFunc:N9};var T9=kt(Es,r=>Math.sin(r)),SP={kernelName:Es,backendName:\"cpu\",kernelFunc:T9};var k9=kt(za,r=>Math.sinh(r)),vP={kernelName:za,backendName:\"cpu\",kernelFunc:k9};var E9=11920928955078125e-23,NP=Math.log(E9)+2,_9=kt(Va,r=>{let t=r>-NP,e=rNumber(g)))),e.makeTensorInfo([h.length],n.dtype,new Int32Array(h))]}var EP={kernelName:Pl,backendName:\"cpu\",kernelFunc:$9};function D9(r){let{inputs:t,backend:e}=r,{inputIndices:n,inputShape:o,newShape:s}=t;if(n.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape\n ${n.shape}`);if(o.shape.length!==1)throw new Error(`Input shape should be a vector but received shape\n ${o.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=Array.from(e.data.get(o.dataId).values),a=e.data.get(n.dataId).values,u=Array.from(e.data.get(s.dataId).values),[l,c,p]=aw(a,n.shape,n.dtype,i,u);return[e.makeTensorInfo(c,n.dtype,l),e.makeTensorInfo([p.length],s.dtype,new Int32Array(p))]}var _P={kernelName:Ga,backendName:\"cpu\",kernelFunc:D9};function R9(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape\n ${o.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape\n ${s.shape}`);if(o.shape[0]!==s.shape[0])throw new Error(\"segmentIds and indices should have same size.\");let i=e.data.get(n.dataId).values,a=e.data.get(o.dataId).values,u=e.data.get(s.dataId).values,[l,c]=ld(i,n.shape,n.dtype,a,u,!0);return e.makeTensorInfo(c,n.dtype,l)}var AP={kernelName:Ll,backendName:\"cpu\",kernelFunc:R9};function F9(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape\n ${o.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape\n ${s.shape}`);if(o.shape[0]!==s.shape[0])throw new Error(\"segmentIds and indices should have same size.\");let i=e.data.get(n.dataId).values,a=e.data.get(o.dataId).values,u=e.data.get(s.dataId).values,[l,c]=ld(i,n.shape,n.dtype,a,u);return e.makeTensorInfo(c,n.dtype,l)}var $P={kernelName:Ml,backendName:\"cpu\",kernelFunc:F9};function O9(r){let{inputs:t,backend:e,attrs:n}=r,{sparseIndices:o,sparseValues:s,defaultValue:i}=t,{outputShape:a}=n,{sliceRank:u,numUpdates:l,sliceSize:c,strides:p,outputSize:m}=v.calculateShapes(s,o,a),f=!1,d=e.bufferSync(o),h;switch(s.dtype){case\"bool\":{let g=e.bufferSync(s),x=Boolean(e.data.get(i.dataId).values[0]);h=dl(d,g,a,m,c,l,u,p,x,f);break}case\"float32\":{let g=e.bufferSync(s),x=e.data.get(i.dataId).values[0];h=dl(d,g,a,m,c,l,u,p,x,f);break}case\"int32\":{let g=e.bufferSync(s),x=e.data.get(i.dataId).values[0];h=dl(d,g,a,m,c,l,u,p,x,f);break}case\"string\":{let g=e.bufferSync(s),x=y.decodeString(e.data.get(i.dataId).values[0]);h=dl(d,g,a,m,c,l,u,p,x,f);break}default:throw new Error(`Unsupported type ${s.dtype}`)}return e.makeTensorInfo(a,h.dtype,h.values)}var DP={kernelName:Lp,backendName:\"cpu\",kernelFunc:O9};function P9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{numOrSizeSplits:s,axis:i}=n,a=y.parseAxisParam(i,o.shape)[0],u=v.prepareSplitSize(o,s,a),l=new Array(o.shape.length).fill(0),c=o.shape.slice();return u.map(p=>{let m=[...c];m[a]=p;let f=Fo({inputs:{x:o},backend:e,attrs:{begin:l,size:m}});return l[a]+=p,f})}var RP={kernelName:yi,backendName:\"cpu\",kernelFunc:P9};var FP={kernelName:zl,backendName:\"cpu\",kernelFunc:({inputs:r,backend:t})=>{let{x:e}=r,n=t;tt(e,\"square\");let o=n.data.get(e.dataId).values,s=new Float32Array(o.length);for(let a=0;a{let e=t;return isNaN(r)?NaN:r>0?1:e.alpha}),OP={kernelName:po,backendName:\"cpu\",kernelFunc:L9};function M9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,end:i,strides:a,beginMask:u,endMask:l,ellipsisMask:c,newAxisMask:p,shrinkAxisMask:m}=n;tt(o,\"stridedSlice\");let{finalShapeSparse:f,finalShape:d,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:w,strides:C}=Le.sliceInfo(o.shape,s,i,a,u,l,c,p,m),N;if(h)N=Yt({inputs:{x:o},backend:e,attrs:{shape:d}});else if(g||x){y.assert(o.shape.length>=1,()=>`Input must have rank at least 1, got: ${o.shape.length}`);let _=Le.computeOutShape(b,w,C),A=Fo({inputs:{x:o},backend:e,attrs:{begin:b,size:_}});N=Yt({inputs:{x:A},backend:e,attrs:{shape:d}}),e.disposeIntermediateTensorInfo(A)}else{let _=e.bufferSync(o),A=lw(f,_,C,b);N=e.makeTensorInfo(d,A.dtype,A.values)}return N}var PP={kernelName:Wa,backendName:\"cpu\",kernelFunc:M9};function z9(r){let{inputs:t,backend:e,attrs:n}=r,{separator:o,nGramWidths:s,leftPad:i,rightPad:a,padWidth:u,preserveShortSequences:l}=n,{data:c,dataSplits:p}=t,m=e.data.get(c.dataId).values,f=e.data.get(p.dataId).values,[d,h]=Dc(m,f,o,s,i,a,u,l);return[e.makeTensorInfo([d.length],\"string\",d),e.makeTensorInfo(p.shape,\"int32\",h)]}var LP={kernelName:Bl,backendName:\"cpu\",kernelFunc:z9};function B9(r){let{inputs:t,backend:e,attrs:n}=r,{skipEmpty:o}=n,{input:s,delimiter:i}=t;if(s.dtype!==\"string\")throw new Error(\"Input must be of datatype string\");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(i.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${i.shape}`);let a=e.data.get(s.dataId).values,u=e.data.get(i.dataId).values[0],[l,c,p]=Rc(a,u,o),m=c.length;return[e.makeTensorInfo([m,2],\"int32\",l),e.makeTensorInfo([m],\"string\",c),e.makeTensorInfo([2],\"int32\",new Int32Array(p))]}var MP={kernelName:Vl,backendName:\"cpu\",kernelFunc:B9};function V9(r){let{inputs:t,backend:e,attrs:n}=r,{numBuckets:o}=n,{input:s}=t;if(s.dtype!==\"string\")throw new Error(\"Input must be of datatype string\");if(o<=0)throw new Error(\"Number of buckets must be at least 1\");let i=e.data.get(s.dataId).values,a=Fc(i,o);return e.makeTensorInfo(s.shape,\"int32\",a)}var zP={kernelName:Gl,backendName:\"cpu\",kernelFunc:V9};var G9=kt(Os,r=>Math.tan(r)),BP={kernelName:Os,backendName:\"cpu\",kernelFunc:G9};var W9=kt(Ps,r=>Math.tanh(r)),VP={kernelName:Ps,backendName:\"cpu\",kernelFunc:W9};function U9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{reps:s}=n;tt(o,\"tile\");let i=uw(e.bufferSync(o),s);return e.makeTensorInfo(i.shape,i.dtype,i.values)}var GP={kernelName:Jn,backendName:\"cpu\",kernelFunc:U9};function H9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{k:s,sorted:i}=n;tt(o,\"topk\");let a=e.data.get(o.dataId).values,[u,l]=cw(a,o.shape,o.dtype,s,i);return[e.makeTensorInfo(u.shape,u.dtype,u.values),e.makeTensorInfo(l.shape,l.dtype,l.values)]}var WP={kernelName:Ua,backendName:\"cpu\",kernelFunc:H9};function q9(r){let{inputs:t,attrs:e,backend:n}=r,{image:o,transforms:s}=t,{interpolation:i,fillMode:a,fillValue:u,outputShape:l}=e,[c,p,m,f]=o.shape,[d,h]=l!=null?l:[p,m],g=[c,d,h,f],x=y.computeStrides(o.shape),b=x[0],w=x[1],C=x[2],N=y.computeStrides(g),_=N[0],A=N[1],$=N[2],F=y.getTypedArrayFromDType(o.dtype,y.sizeFromShape(g));F.fill(u);let P=n.data.get(o.dataId).values,V=n.data.get(s.dataId).values;for(let W=0;Wt-1)if(t<=1)e=0;else{let n=2*t;e-=n*Math.trunc(e/n),e>=t&&(e=n-e-1)}return y.clamp(0,e,t-1)}function j9(r,t){let e=r;if(e<0)if(t<=1)e=0;else{let n=t-1;e+=t*(Math.trunc(-e/n)+1)}else if(e>t-1)if(t<=1)e=0;else{let n=t-1;e-=t*Math.trunc(e/n)}return y.clamp(0,e,t-1)}function X9(r,t){return r}function Y9(r,t){return y.clamp(0,r,t-1)}function Kh(r,t,e,n,o,s,i,a,u,l,c){let p=i*n+a*o+u*s+l;return 0<=a&&ae.disposeIntermediateTensorInfo(d)),f}var jP={kernelName:Wl,backendName:\"cpu\",kernelFunc:ett};var rtt=[wF,$R,CF,IF,PR,SF,vF,NF,TF,kF,EF,_F,AF,$F,DF,FF,OF,PF,LF,bF,MF,zF,BF,VF,OR,LR,GF,DR,WF,HF,qF,KF,jF,XF,YF,ZF,JF,QF,tO,eO,rO,nO,oO,sO,iO,aO,lO,uO,cO,pO,fO,fF,dO,MR,hO,zR,gO,BR,xO,yO,bO,VR,wO,CO,IO,SO,vO,GR,WR,RR,NO,UF,TO,kO,EO,dF,UR,HR,_O,qR,AO,$O,DO,RO,FO,OO,PO,KR,LO,MO,zO,BO,GO,WO,UO,jR,HO,qO,XO,XR,YR,YO,ZO,JO,ZR,QO,rP,nP,gw,oP,hF,QR,sP,iP,aP,lP,FR,Uh,uP,gF,xF,yF,cP,pP,mP,fP,dP,hP,gP,oF,xP,bP,wP,CP,iF,IP,SP,vP,aF,KO,TP,kP,EP,_P,AP,$P,DP,RP,uF,FP,cF,OP,PP,LP,MP,zP,pF,mO,BP,VP,GP,WP,HP,JR,qP,KP,jP,tP];for(let r of rtt)Lu(r);var dd={};Wt(dd,{assertNotComplex:()=>Qs,bindCanvasToFramebuffer:()=>ptt,bindColorTextureToFramebuffer:()=>Zh,bindTextureToProgramUniformSampler:()=>OT,bindTextureUnit:()=>JP,bindVertexBufferToProgramAttribute:()=>Iw,callAndCheck:()=>yt,canBeRepresented:()=>ST,createFragmentShader:()=>NT,createFramebuffer:()=>DT,createProgram:()=>TT,createStaticIndexBuffer:()=>_T,createStaticVertexBuffer:()=>ET,createTexture:()=>AT,createVertexShader:()=>vT,getBatchDim:()=>xl,getExtensionOrThrow:()=>pd,getFramebufferErrorMessage:()=>QP,getMaxTexturesInShader:()=>MT,getNumChannels:()=>utt,getProgramUniformLocation:()=>FT,getProgramUniformLocationOrThrow:()=>RT,getRowsCols:()=>yl,getShapeAs3D:()=>fd,getTextureShapeFromLogicalShape:()=>PT,getWebGLDisjointQueryTimerVersion:()=>zT,getWebGLErrorMessage:()=>ZP,getWebGLMaxTextureSize:()=>LT,hasExtension:()=>Wn,isCapableOfRenderingToFloatTexture:()=>BT,isDownloadFloatTextureEnabled:()=>VT,isReshapeFree:()=>Eu,isWebGLFenceEnabled:()=>GT,isWebGLVersionEnabled:()=>vw,linkProgram:()=>kT,logShaderSourceAndInfoLog:()=>Cw,resetMaxTextureSize:()=>mtt,resetMaxTexturesInShader:()=>ftt,unbindColorTextureFromFramebuffer:()=>Sw,unbindTextureUnit:()=>ctt,validateFramebuffer:()=>md,validateProgram:()=>Yh,validateTextureSize:()=>$T});var Pc={},xw={alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0};function wT(r,t){Pc[r]=t}function Gn(r,t){if(!(r in Pc)||t!=null){let n=ott(r,t);if(n!==null)Pc[r]=n;else return console.log(\"Could not get context for WebGL version\",r),null}let e=Pc[r];return e==null||e.isContextLost()?(delete Pc[r],Gn(r)):(e.disable(e.DEPTH_TEST),e.disable(e.STENCIL_TEST),e.disable(e.BLEND),e.disable(e.DITHER),e.disable(e.POLYGON_OFFSET_FILL),e.disable(e.SAMPLE_COVERAGE),e.enable(e.SCISSOR_TEST),e.enable(e.CULL_FACE),e.cullFace(e.BACK),Pc[r])}function ntt(r){if(typeof OffscreenCanvas!=\"undefined\"&&r===2)return new OffscreenCanvas(300,150);if(typeof document!=\"undefined\")return document.createElement(\"canvas\");throw new Error(\"Cannot create a canvas in this context\")}function ott(r,t){if(r!==1&&r!==2)throw new Error(\"Cannot get WebGL rendering context, WebGL is disabled.\");let e=t==null?ntt(r):t;return e.addEventListener(\"webglcontextlost\",n=>{n.preventDefault(),delete Pc[r]},!1),z().getBool(\"SOFTWARE_WEBGL_ENABLED\")&&(xw.failIfMajorPerformanceCaveat=!1),r===1?e.getContext(\"webgl\",xw)||e.getContext(\"experimental-webgl\",xw):e.getContext(\"webgl2\",xw)}var ku;(function(r){r[r.DENSE=0]=\"DENSE\",r[r.SHARED_BATCH=1]=\"SHARED_BATCH\"})(ku||(ku={}));var jr;(function(r){r[r.RENDER=0]=\"RENDER\",r[r.UPLOAD=1]=\"UPLOAD\",r[r.PIXELS=2]=\"PIXELS\",r[r.DOWNLOAD=3]=\"DOWNLOAD\"})(jr||(jr={}));var Pr;(function(r){r[r.UNPACKED_FLOAT16=0]=\"UNPACKED_FLOAT16\",r[r.UNPACKED_FLOAT32=1]=\"UNPACKED_FLOAT32\",r[r.PACKED_4X1_UNSIGNED_BYTE=2]=\"PACKED_4X1_UNSIGNED_BYTE\",r[r.PACKED_2X2_FLOAT32=3]=\"PACKED_2X2_FLOAT32\",r[r.PACKED_2X2_FLOAT16=4]=\"PACKED_2X2_FLOAT16\"})(Pr||(Pr={}));function Lc(r,t){return[t,r]}function XP(r,t){return r*t}function jh(r){let t=y.sizeFromShape(r),e=Math.ceil(t/4);return y.sizeToSquarishShape(e)}function Xi(r,t){return[Math.max(1,Math.ceil(t/2)),Math.max(1,Math.ceil(r/2))]}function YP(r,t){let[e,n]=Xi(r,t);return e*n*4}function Xh(r,t){let e=r,n,o,s,i,a,u,l,c,p,m;return z().getNumber(\"WEBGL_VERSION\")===2?(n=e.R32F,o=e.R16F,s=e.RGBA16F,i=e.RGBA32F,a=e.RED,l=4,c=1,p=e.HALF_FLOAT,m=e.FLOAT,u=e.RGBA8):(n=r.RGBA,o=r.RGBA,s=r.RGBA,i=e.RGBA,a=r.RGBA,l=4,c=4,p=t!=null?t.HALF_FLOAT_OES:null,m=r.FLOAT,u=r.RGBA),{internalFormatFloat:n,internalFormatHalfFloat:o,internalFormatPackedHalfFloat:s,internalFormatPackedFloat:i,textureFormatFloat:a,downloadTextureFormat:u,downloadUnpackNumChannels:l,defaultNumChannels:c,textureTypeHalfFloat:p,textureTypeFloat:m}}function yt(r,t){let e=t();return z().getBool(\"DEBUG\")&&stt(r),e}function stt(r){let t=r.getError();if(t!==r.NO_ERROR)throw new Error(\"WebGL Error: \"+ZP(r,t))}var itt=596e-10,att=65504;function ST(r){return!!(z().getBool(\"WEBGL_RENDER_FLOAT32_ENABLED\")||r===0||ittr.getExtension(t),'Extension \"'+t+'\" not supported on this browser.')}function vT(r,t){let e=gl(r,()=>r.createShader(r.VERTEX_SHADER),\"Unable to create vertex WebGLShader.\");if(yt(r,()=>r.shaderSource(e,t)),yt(r,()=>r.compileShader(e)),r.getShaderParameter(e,r.COMPILE_STATUS)===!1)throw console.log(r.getShaderInfoLog(e)),new Error(\"Failed to compile vertex shader.\");return e}function NT(r,t){let e=gl(r,()=>r.createShader(r.FRAGMENT_SHADER),\"Unable to create fragment WebGLShader.\");if(yt(r,()=>r.shaderSource(e,t)),yt(r,()=>r.compileShader(e)),z().get(\"ENGINE_COMPILE_ONLY\"))return e;if(r.getShaderParameter(e,r.COMPILE_STATUS)===!1)throw Cw(t,r.getShaderInfoLog(e)),new Error(\"Failed to compile fragment shader.\");return e}var ltt=/ERROR: [0-9]+:([0-9]+):/g;function Cw(r,t){let e=ltt.exec(t);if(e==null){console.log(`Couldn't parse line number in error: ${t}`),console.log(r);return}let n=+e[1],o=r.split(`\n`),s=o.length.toString().length+2,i=o.map((p,m)=>y.rightPad((m+1).toString(),s)+p),a=0;for(let p=0;pr.createProgram(),\"Unable to create WebGLProgram.\")}function kT(r,t){if(yt(r,()=>r.linkProgram(t)),!z().get(\"ENGINE_COMPILE_ONLY\")&&r.getProgramParameter(t,r.LINK_STATUS)===!1)throw console.log(r.getProgramInfoLog(t)),new Error(\"Failed to link vertex and fragment shaders.\")}function Yh(r,t){if(yt(r,()=>r.validateProgram(t)),r.getProgramParameter(t,r.VALIDATE_STATUS)===!1)throw console.log(r.getProgramInfoLog(t)),new Error(\"Shader program validation failed.\")}function ET(r,t){let e=gl(r,()=>r.createBuffer(),\"Unable to create WebGLBuffer\");return yt(r,()=>r.bindBuffer(r.ARRAY_BUFFER,e)),yt(r,()=>r.bufferData(r.ARRAY_BUFFER,t,r.STATIC_DRAW)),e}function _T(r,t){let e=gl(r,()=>r.createBuffer(),\"Unable to create WebGLBuffer\");return yt(r,()=>r.bindBuffer(r.ELEMENT_ARRAY_BUFFER,e)),yt(r,()=>r.bufferData(r.ELEMENT_ARRAY_BUFFER,t,r.STATIC_DRAW)),e}function utt(){return z().getNumber(\"WEBGL_VERSION\")===2?1:4}function AT(r){return gl(r,()=>r.createTexture(),\"Unable to create WebGLTexture.\")}function $T(r,t){let e=z().getNumber(\"WEBGL_MAX_TEXTURE_SIZE\");if(r<=0||t<=0){let n=`[${r}x${t}]`;throw new Error(\"Requested texture size \"+n+\" is invalid.\")}if(r>e||t>e){let n=`[${r}x${t}]`,o=`[${e}x${e}]`;throw new Error(\"Requested texture size \"+n+\" greater than WebGL maximum on this browser / GPU \"+o+\".\")}}function DT(r){return gl(r,()=>r.createFramebuffer(),\"Unable to create WebGLFramebuffer.\")}function Iw(r,t,e,n,o,s,i){let a=r.getAttribLocation(t,e);return a===-1?!1:(yt(r,()=>r.bindBuffer(r.ARRAY_BUFFER,n)),yt(r,()=>r.vertexAttribPointer(a,o,r.FLOAT,!1,s,i)),yt(r,()=>r.enableVertexAttribArray(a)),!0)}function JP(r,t,e){tL(r,e),yt(r,()=>r.activeTexture(r.TEXTURE0+e)),yt(r,()=>r.bindTexture(r.TEXTURE_2D,t))}function ctt(r,t){tL(r,t),yt(r,()=>r.activeTexture(r.TEXTURE0+t)),yt(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function RT(r,t,e){return gl(r,()=>r.getUniformLocation(t,e),'uniform \"'+e+'\" not present in program.')}function FT(r,t,e){return r.getUniformLocation(t,e)}function OT(r,t,e,n){yt(r,()=>JP(r,t,n)),yt(r,()=>r.uniform1i(e,n))}function ptt(r){yt(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,null)),yt(r,()=>r.viewport(0,0,r.canvas.width,r.canvas.height)),yt(r,()=>r.scissor(0,0,r.canvas.width,r.canvas.height))}function Zh(r,t,e){yt(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,e)),yt(r,()=>r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,t,0))}function Sw(r,t){yt(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,t)),yt(r,()=>r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,null,0))}function md(r){let t=r.checkFramebufferStatus(r.FRAMEBUFFER);if(t!==r.FRAMEBUFFER_COMPLETE)throw new Error(\"Error binding framebuffer: \"+QP(r,t))}function QP(r,t){switch(t){case r.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\";case r.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\";case r.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\";case r.FRAMEBUFFER_UNSUPPORTED:return\"FRAMEBUFFER_UNSUPPORTED\";default:return`unknown error ${t}`}}function gl(r,t,e){let n=yt(r,()=>t());if(n==null)throw new Error(e);return n}function tL(r,t){let e=r.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,n=t+r.TEXTURE0;if(ne){let o=`[gl.TEXTURE0, gl.TEXTURE${e}]`;throw new Error(`textureUnit must be in ${o}.`)}}function xl(r,t=2){return y.sizeFromShape(r.slice(0,r.length-t))}function yl(r){if(r.length===0)throw Error(\"Cannot get rows and columns of an empty shape array.\");return[r.length>1?r[r.length-2]:1,r[r.length-1]]}function fd(r){let t=[1,1,1];return r.length===0||r.length===1&&r[0]===1||(t=[xl(r),...yl(r)]),t}function PT(r,t=!1){let e=z().getNumber(\"WEBGL_MAX_TEXTURE_SIZE\"),n=z().getNumber(\"WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE\");n===1/0&&z().getBool(\"WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE\")&&(n=e/2),t&&(e=e*2,n=n*2,r=r.map((a,u)=>u>=r.length-2?y.nearestLargerEven(r[u]):r[u]),r.length===1&&(r=[2,r[0]])),r.length!==2&&(r=y.squeezeShape(r).newShape);let o=y.sizeFromShape(r),s=null;r.length<=1&&o<=e?s=[1,o]:r.length===2&&r[0]<=e&&r[1]<=e?s=r:r.length===3&&r[0]*r[1]<=e&&r[2]<=e?s=[r[0]*r[1],r[2]]:r.length===3&&r[0]<=e&&r[1]*r[2]<=e?s=[r[0],r[1]*r[2]]:r.length===4&&r[0]*r[1]*r[2]<=e&&r[3]<=e?s=[r[0]*r[1]*r[2],r[3]]:r.length===4&&r[0]<=e&&r[1]*r[2]*r[3]<=e&&(s=[r[0],r[1]*r[2]*r[3]]);let i=s!=null&&Math.max(...s)>n&&Math.min(...s)<=(t?2:1)&&Math.min(...s)>0;if(s==null||i)if(t){let a=xl(r),u=2,l=2;r.length&&([u,l]=yl(r)),o=a*(u/2)*(l/2),s=y.sizeToSquarishShape(o).map(c=>c*2)}else s=y.sizeToSquarishShape(o);return s}function yw(r){return r%2===0}function Eu(r,t){if(r=r.slice(-2),t=t.slice(-2),y.arraysEqual(r,t)||!r.length||!t.length||r[0]===0||r[1]===0||t[0]===0||t[1]===0)return!0;if(r.length!==t.length){let e=r.slice(-1)[0],n=t.slice(-1)[0];if(e===n||yw(e)&&yw(n)&&(r[0]===1||t[0]===1))return!0}return r[1]===t[1]&&yw(r[0])&&yw(t[0])}var bw,ww;function LT(r){if(bw==null){let t=Gn(r);bw=t.getParameter(t.MAX_TEXTURE_SIZE)}return bw}function mtt(){bw=null}function ftt(){ww=null}function MT(r){if(ww==null){let t=Gn(r);ww=t.getParameter(t.MAX_TEXTURE_IMAGE_UNITS)}return Math.min(16,ww)}function zT(r){if(r===0)return 0;let t,e=Gn(r);return Wn(e,\"EXT_disjoint_timer_query_webgl2\")&&r===2?t=2:Wn(e,\"EXT_disjoint_timer_query\")?t=1:t=0,t}function Wn(r,t){return r.getExtension(t)!=null}function vw(r){try{if(Gn(r)!=null)return!0}catch(t){return console.log(\"Error when getting WebGL context: \",t),!1}return!1}function BT(r){if(r===0)return!1;let t=Gn(r);if(r===1){if(!Wn(t,\"OES_texture_float\"))return!1}else if(!Wn(t,\"EXT_color_buffer_float\"))return!1;return IT(t)}function VT(r){if(r===0)return!1;let t=Gn(r);if(r===1){if(!Wn(t,\"OES_texture_float\")||!Wn(t,\"WEBGL_color_buffer_float\"))return!1}else{if(Wn(t,\"EXT_color_buffer_float\"))return IT(t);let n=\"EXT_color_buffer_half_float\";if(Wn(t,n)){let o=t.getExtension(n);return dtt(t,o)}return!1}return IT(t)}function IT(r){let t=Xh(r),e=r.createTexture();r.bindTexture(r.TEXTURE_2D,e);let n=1,o=1;r.texImage2D(r.TEXTURE_2D,0,t.internalFormatFloat,n,o,0,t.textureFormatFloat,t.textureTypeFloat,null);let s=r.createFramebuffer();r.bindFramebuffer(r.FRAMEBUFFER,s),r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,e,0);let i=r.checkFramebufferStatus(r.FRAMEBUFFER)===r.FRAMEBUFFER_COMPLETE;return r.bindTexture(r.TEXTURE_2D,null),r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteTexture(e),r.deleteFramebuffer(s),i}function dtt(r,t){let e=Xh(r,t),n=r.createTexture();r.bindTexture(r.TEXTURE_2D,n);let o=1,s=1;r.texImage2D(r.TEXTURE_2D,0,e.internalFormatHalfFloat,o,s,0,e.textureFormatFloat,e.textureTypeHalfFloat,null);let i=r.createFramebuffer();r.bindFramebuffer(r.FRAMEBUFFER,i),r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,n,0);let a=r.checkFramebufferStatus(r.FRAMEBUFFER)===r.FRAMEBUFFER_COMPLETE;return r.bindTexture(r.TEXTURE_2D,null),r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteTexture(n),r.deleteFramebuffer(i),a}function GT(r){return r!==2?!1:Gn(r).fenceSync!=null}function Qs(r,t){Array.isArray(r)||(r=[r]),r.forEach(e=>{e!=null&&y.assert(e.dtype!==\"complex64\",()=>`${t} does not support complex64 tensors in the WebGL backend.`)})}var Tt=z();Tt.registerFlag(\"HAS_WEBGL\",()=>Tt.getNumber(\"WEBGL_VERSION\")>0);Tt.registerFlag(\"WEBGL_VERSION\",()=>vw(2)?2:vw(1)?1:0);Tt.registerFlag(\"WEBGL_CHECK_NUMERICAL_PROBLEMS\",()=>!1);Tt.registerFlag(\"WEBGL_BUFFER_SUPPORTED\",()=>Tt.get(\"WEBGL_VERSION\")===2);Tt.registerFlag(\"WEBGL_CPU_FORWARD\",()=>!0);Tt.registerFlag(\"WEBGL_FORCE_F16_TEXTURES\",()=>!1);Tt.registerFlag(\"WEBGL_PACK\",()=>Tt.getBool(\"HAS_WEBGL\"));Tt.registerFlag(\"WEBGL_PACK_NORMALIZATION\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_PACK_CLIP\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_PACK_DEPTHWISECONV\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_PACK_BINARY_OPERATIONS\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_PACK_UNARY_OPERATIONS\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_PACK_ARRAY_OPERATIONS\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_PACK_IMAGE_OPERATIONS\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_PACK_REDUCE\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_LAZILY_UNPACK\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_CONV_IM2COL\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_MAX_TEXTURE_SIZE\",()=>LT(Tt.getNumber(\"WEBGL_VERSION\")));Tt.registerFlag(\"WEBGL_MAX_TEXTURES_IN_SHADER\",()=>MT(Tt.getNumber(\"WEBGL_VERSION\")));Tt.registerFlag(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\",()=>{let r=Tt.getNumber(\"WEBGL_VERSION\");return r===0?0:zT(r)});Tt.registerFlag(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\",()=>Tt.getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0&&!Kl.isMobile());Tt.registerFlag(\"WEBGL_RENDER_FLOAT32_CAPABLE\",()=>BT(Tt.getNumber(\"WEBGL_VERSION\")));Tt.registerFlag(\"WEBGL_RENDER_FLOAT32_ENABLED\",()=>Tt.getBool(\"WEBGL_FORCE_F16_TEXTURES\")?!1:Tt.getBool(\"WEBGL_RENDER_FLOAT32_CAPABLE\"));Tt.registerFlag(\"WEBGL_DOWNLOAD_FLOAT_ENABLED\",()=>VT(Tt.getNumber(\"WEBGL_VERSION\")));Tt.registerFlag(\"WEBGL_FENCE_API_ENABLED\",()=>GT(Tt.getNumber(\"WEBGL_VERSION\")));Tt.registerFlag(\"WEBGL_SIZE_UPLOAD_UNIFORM\",()=>Tt.getBool(\"WEBGL_RENDER_FLOAT32_ENABLED\")?4:0);Tt.registerFlag(\"WEBGL_DELETE_TEXTURE_THRESHOLD\",()=>-1,r=>{if(r<0&&r!==-1)throw new Error(`WEBGL_DELETE_TEXTURE_THRESHOLD must be -1 (indicating never delete) or at least 0, but got ${r}.`)});Tt.registerFlag(\"WEBGL_FLUSH_THRESHOLD\",()=>Kl.isMobile()?1:-1,r=>{if(r<0&&r!==-1)throw new Error(`WEBGL_FLUSH_THRESHOLD must be -1 (indicating never manual flush) or at least 0, but got ${r}.`)});Tt.registerFlag(\"CPU_HANDOFF_SIZE_THRESHOLD\",()=>128);Tt.registerFlag(\"WEBGL_USE_SHAPES_UNIFORMS\",()=>!1);Tt.registerFlag(\"TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD\",()=>1e5);Tt.registerFlag(\"TOPK_K_CPU_HANDOFF_THRESHOLD\",()=>128);Tt.registerFlag(\"WEBGL_EXP_CONV\",()=>!1);Tt.registerFlag(\"SOFTWARE_WEBGL_ENABLED\",()=>Tt.getBool(\"IS_TEST\"));Tt.registerFlag(\"WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE\",()=>1/0);Tt.registerFlag(\"WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE\",()=>!1);Tt.registerFlag(\"WEBGL2_ISNAN_CUSTOM\",()=>!1);function Ge(){let r,t,e,n,o,s,i,a,u,l;return z().getNumber(\"WEBGL_VERSION\")===2?(r=\"#version 300 es\",t=\"in\",e=\"out\",n=\"in\",o=\"texture\",s=\"outputColor\",i=\"out vec4 outputColor;\",a=z().getBool(\"WEBGL2_ISNAN_CUSTOM\")?`\n bool isnan_custom(float val) {\n uint floatToUint = floatBitsToUint(val);\n return (floatToUint & 0x7fffffffu) > 0x7f800000u;\n }\n\n bvec4 isnan_custom(vec4 val) {\n return bvec4(isnan_custom(val.x),\n isnan_custom(val.y), isnan_custom(val.z), isnan_custom(val.w));\n }\n\n #define isnan(value) isnan_custom(value)\n `:\"\",u=\"\",l=`\n #define round(value) newRound(value)\n int newRound(float value) {\n return int(floor(value + 0.5));\n }\n\n ivec4 newRound(vec4 value) {\n return ivec4(floor(value + vec4(0.5)));\n }\n `):(r=\"\",t=\"attribute\",e=\"varying\",n=\"varying\",o=\"texture2D\",s=\"gl_FragColor\",i=\"\",a=`\n #define isnan(value) isnan_custom(value)\n bool isnan_custom(float val) {\n return (val > 0. || val < 1. || val == 0.) ? false : true;\n }\n bvec4 isnan_custom(vec4 val) {\n return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));\n }\n `,u=`\n uniform float INFINITY;\n\n bool isinf(float val) {\n return abs(val) == INFINITY;\n }\n bvec4 isinf(vec4 val) {\n return equal(abs(val), vec4(INFINITY));\n }\n `,l=`\n int round(float value) {\n return int(floor(value + 0.5));\n }\n\n ivec4 round(vec4 value) {\n return ivec4(floor(value + vec4(0.5)));\n }\n `),{version:r,attribute:t,varyingVs:e,varyingFs:n,texture2D:o,output:s,defineOutput:i,defineSpecialNaN:a,defineSpecialInf:u,defineRound:l}}function ti(r,t,e=\"index\"){let n=y.computeStrides(t);return n.map((o,s)=>{let i=`int ${r[s]} = ${e} / ${o}`,a=s===n.length-1?`int ${r[s+1]} = ${e} - ${r[s]} * ${o}`:`index -= ${r[s]} * ${o}`;return`${i}; ${a};`}).join(\"\")}function Mc(r,t,e=\"index\"){let n=y.computeStrides(t);return n.map((o,s)=>{let i=`int ${r[s]} = ${e} / outShapeStrides[${s}]`,a=s===n.length-1?`int ${r[s+1]} = ${e} - ${r[s]} * outShapeStrides[${s}]`:`index -= ${r[s]} * outShapeStrides[${s}]`;return`${i}; ${a};`}).join(\"\")}function htt(r,t){let e=r.length,n=r.map(s=>`${t}[${s}]`),o=new Array(e-1);o[e-2]=n[e-1];for(let s=e-3;s>=0;--s)o[s]=`(${o[s+1]} * ${n[s+1]})`;return o}function eL(r,t,e=\"index\"){let n=r.map((s,i)=>i),o=htt(n,t);return o.map((s,i)=>{let a=`int ${r[i]} = ${e} / ${o[i]}`,u=i===o.length-1?`int ${r[i+1]} = ${e} - ${r[i]} * ${o[i]}`:`index -= ${r[i]} * ${o[i]}`;return`${a}; ${u};`}).join(\"\")}function hd(r){let t=y.computeStrides(r).map(e=>e.toString());return`\n int getFlatIndex(ivec3 coords) {\n return coords.x * ${t[0]} + coords.y * ${t[1]} + coords.z;\n }\n`}function gd(){return`\n int getFlatIndex(ivec3 coords) {\n return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z;\n }\n`}var Nw=`\n const float FLOAT_MAX = 1.70141184e38;\n const float FLOAT_MIN = 1.17549435e-38;\n\n lowp vec4 encode_float(highp float v) {\n if (isnan(v)) {\n return vec4(255, 255, 255, 255);\n }\n\n highp float av = abs(v);\n\n if(av < FLOAT_MIN) {\n return vec4(0.0, 0.0, 0.0, 0.0);\n } else if(v > FLOAT_MAX) {\n return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n } else if(v < -FLOAT_MAX) {\n return vec4(0.0, 0.0, 128.0, 255.0) / 255.0;\n }\n\n highp vec4 c = vec4(0,0,0,0);\n\n highp float e = floor(log2(av));\n highp float m = exp2(fract(log2(av))) - 1.0;\n\n c[2] = floor(128.0 * m);\n m -= c[2] / 128.0;\n c[1] = floor(32768.0 * m);\n m -= c[1] / 32768.0;\n c[0] = floor(8388608.0 * m);\n\n highp float ebias = e + 127.0;\n c[3] = floor(ebias / 2.0);\n ebias -= c[3] * 2.0;\n c[2] += floor(ebias) * 128.0;\n\n c[3] += 128.0 * step(0.0, -v);\n\n return c / 255.0;\n }\n`;var{getBroadcastDims:rL}=v;function nL(r,t,e){let n=[];if(r.forEach(f=>{let d=y.sizeFromShape(f.shapeInfo.logicalShape);if(f.shapeInfo.isUniform?n.push(`uniform float ${f.name}${d>1?`[${d}]`:\"\"};`):(n.push(`uniform sampler2D ${f.name};`),n.push(`uniform int offset${f.name};`)),e.enableShapeUniforms){let{uniformShape:h}=Tw(e.packedInputs,f.shapeInfo.logicalShape,f.shapeInfo.texShape);switch(h.length){case 1:n.push(`uniform int ${f.name}Shape;`);break;case 2:n.push(`uniform ivec2 ${f.name}Shape;`);break;case 3:n.push(`uniform ivec3 ${f.name}Shape;`);break;case 4:n.push(`uniform ivec4 ${f.name}Shape;`);break;default:break}n.push(`uniform ivec2 ${f.name}TexShape;`)}}),e.enableShapeUniforms){switch(t.logicalShape.length){case 1:n.push(\"uniform int outShape;\");break;case 2:n.push(\"uniform ivec2 outShape;\"),n.push(\"uniform int outShapeStrides;\");break;case 3:n.push(\"uniform ivec3 outShape;\"),n.push(\"uniform ivec2 outShapeStrides;\");break;case 4:n.push(\"uniform ivec4 outShape;\"),n.push(\"uniform ivec3 outShapeStrides;\");break;default:break}n.push(\"uniform ivec2 outTexShape;\")}e.customUniforms&&e.customUniforms.forEach(f=>{n.push(`uniform ${f.type} ${f.name}${f.arrayIndex?`[${f.arrayIndex}]`:\"\"};`)});let o=n.join(`\n`),s=r.map(f=>gtt(f,t,e.packedInputs,e.enableShapeUniforms)).join(`\n`),i=t.texShape,a=Ge(),u=btt(a),l,c,p=Itt(a);return t.isPacked?(l=xtt(t.logicalShape,i,e.enableShapeUniforms),c=Ctt(a)):(l=ytt(t.logicalShape,i,e.enableShapeUniforms),c=wtt(a)),e.packedInputs&&(p+=Ttt),[p,u,c,o,l,s,e.userCode].join(`\n`)}function yd(r,t=!1){let e=r.shapeInfo.logicalShape;switch(e.length){case 0:return Mtt(r,t);case 1:return Btt(r,t);case 2:return Gtt(r,t);case 3:return Utt(r,t);case 4:return qtt(r,t);case 5:return Ktt(r);case 6:return jtt(r);default:throw new Error(`${e.length}-D input sampling is not yet supported`)}}function oL(r,t){switch(r.shapeInfo.logicalShape.length){case 0:return Ltt(r);case 1:return ztt(r,t);case 2:return Vtt(r,t);case 3:return Wtt(r,t);default:return Htt(r,t)}}function gtt(r,t,e=!1,n){let o=\"\";e?o+=oL(r,n):o+=yd(r,n);let s=r.shapeInfo.logicalShape,i=t.logicalShape;return s.length<=i.length&&(e?o+=Xtt(r,t):o+=Ytt(r,t)),o}function xtt(r,t,e){switch(r.length){case 0:return sL();case 1:return ktt(r,t,e);case 2:return Ott(r,t,e);case 3:return _tt(r,t,e);default:return $tt(r,t,e)}}function ytt(r,t,e){switch(r.length){case 0:return sL();case 1:return Ett(r,t,e);case 2:return Ptt(r,t,e);case 3:return Att(r,t,e);case 4:return Dtt(r,t,e);case 5:return Rtt(r,t);case 6:return Ftt(r,t);default:throw new Error(`${r.length}-D output sampling is not yet supported`)}}function btt(r){return`\n float sampleTexture(sampler2D textureSampler, vec2 uv) {\n return ${r.texture2D}(textureSampler, uv).r;\n }\n `}function wtt(r){return`\n void setOutput(float val) {\n ${r.output} = vec4(val, 0, 0, 0);\n }\n `}function Ctt(r){return`\n void setOutput(vec4 val) {\n ${r.output} = val;\n }\n `}function Itt(r){return`${r.version}\n precision highp float;\n precision highp int;\n precision highp sampler2D;\n ${r.varyingFs} vec2 resultUV;\n ${r.defineOutput}\n const vec2 halfCR = vec2(0.5, 0.5);\n\n struct ivec5\n {\n int x;\n int y;\n int z;\n int w;\n int u;\n };\n\n struct ivec6\n {\n int x;\n int y;\n int z;\n int w;\n int u;\n int v;\n };\n\n uniform float NAN;\n ${r.defineSpecialNaN}\n ${r.defineSpecialInf}\n ${r.defineRound}\n\n int imod(int x, int y) {\n return x - y * (x / y);\n }\n\n int idiv(int a, int b, float sign) {\n int res = a / b;\n int mod = imod(a, b);\n if (sign < 0. && mod != 0) {\n res -= 1;\n }\n return res;\n }\n\n //Based on the work of Dave Hoskins\n //https://www.shadertoy.com/view/4djSRW\n #define HASHSCALE1 443.8975\n float random(float seed){\n vec2 p = resultUV * seed;\n vec3 p3 = fract(vec3(p.xyx) * HASHSCALE1);\n p3 += dot(p3, p3.yzx + 19.19);\n return fract((p3.x + p3.y) * p3.z);\n }\n\n ${Stt}\n ${vtt}\n ${Ntt}\n `}var Stt=`\nvec2 uvFromFlat(int texNumR, int texNumC, int index) {\n int texR = index / texNumC;\n int texC = index - texR * texNumC;\n return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n int texelIndex = index / 2;\n int texR = texelIndex / texNumC;\n int texC = texelIndex - texR * texNumC;\n return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`,vtt=`\nvec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,\n int texNumC, int row, int col) {\n int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n int texR = texelIndex / texNumC;\n int texC = texelIndex - texR * texNumC;\n return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`,Ntt=`\nvec2 packedUVfrom3D(int texNumR, int texNumC,\n int texelsInBatch, int texelsInLogicalRow, int b,\n int row, int col) {\n int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n int texR = index / texNumC;\n int texC = index - texR * texNumC;\n return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`,Ttt=`\n float getChannel(vec4 frag, vec2 innerDims) {\n vec2 modCoord = mod(innerDims, 2.);\n return modCoord.x == 0. ?\n (modCoord.y == 0. ? frag.r : frag.g) :\n (modCoord.y == 0. ? frag.b : frag.a);\n }\n float getChannel(vec4 frag, int dim) {\n float modCoord = mod(float(dim), 2.);\n return modCoord == 0. ? frag.r : frag.g;\n }\n`;function sL(){return`\n int getOutputCoords() {\n return 0;\n }\n `}function ktt(r,t,e){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return n[0]===1?e?`\n int getOutputCoords() {\n return 2 * int(resultUV.x * ceil(float(outTexShape[1]) / 2.0));\n }\n `:`\n int getOutputCoords() {\n return 2 * int(resultUV.x * ${n[1]}.0);\n }\n `:n[1]===1?e?`\n int getOutputCoords() {\n return 2 * int(resultUV.y * ceil(float(outTexShape[0]) / 2.0));\n }\n `:`\n int getOutputCoords() {\n return 2 * int(resultUV.y * ${n[0]}.0);\n }\n `:e?`\n int getOutputCoords() {\n ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(packedTexShape[0], packedTexShape[1]));\n return 2 * (resTexRC.x * packedTexShape[1] + resTexRC.y);\n }\n `:`\n int getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${n[0]}, ${n[1]}));\n return 2 * (resTexRC.x * ${n[1]} + resTexRC.y);\n }\n `}function Ett(r,t,e){return t[0]===1?e?`\n int getOutputCoords() {\n return int(resultUV.x * float(outTexShape[1]));\n }\n `:`\n int getOutputCoords() {\n return int(resultUV.x * ${t[1]}.0);\n }\n `:t[1]===1?e?`\n int getOutputCoords() {\n return int(resultUV.y * float(outTexShape[0]));\n }\n `:`\n int getOutputCoords() {\n return int(resultUV.y * ${t[0]}.0);\n }\n `:e?`\n int getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(outTexShape[0], outTexShape[1]));\n return resTexRC.x * outTexShape[1] + resTexRC.y;\n }\n `:`\n int getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${t[0]}, ${t[1]}));\n return resTexRC.x * ${t[1]} + resTexRC.y;\n }\n `}function _tt(r,t,e){if(e)return`\n ivec3 getOutputCoords() {\n ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n int texelsInLogicalRow = int(ceil(float(outShape[2]) / 2.0));\n int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[1]) / 2.0));\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(packedTexShape[0], packedTexShape[1]));\n int index = resTexRC.x * packedTexShape[1] + resTexRC.y;\n\n int b = index / texelsInBatch;\n index -= b * texelsInBatch;\n\n int r = 2 * (index / texelsInLogicalRow);\n int c = imod(index, texelsInLogicalRow) * 2;\n\n return ivec3(b, r, c);\n }\n `;let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],o=Math.ceil(r[2]/2),s=o*Math.ceil(r[1]/2);return`\n ivec3 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${n[0]}, ${n[1]}));\n int index = resTexRC.x * ${n[1]} + resTexRC.y;\n\n int b = index / ${s};\n index -= b * ${s};\n\n int r = 2 * (index / ${o});\n int c = imod(index, ${o}) * 2;\n\n return ivec3(b, r, c);\n }\n `}function Att(r,t,e){if(e)return`\n ivec3 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(outTexShape[0], outTexShape[1]));\n int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n ${Mc([\"r\",\"c\",\"d\"],r)}\n return ivec3(r, c, d);\n }\n`;let n=ti([\"r\",\"c\",\"d\"],r);return`\n ivec3 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${t[0]}, ${t[1]}));\n int index = resTexRC.x * ${t[1]} + resTexRC.y;\n ${n}\n return ivec3(r, c, d);\n }\n `}function $tt(r,t,e){if(e)return`\n ivec4 getOutputCoords() {\n ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(packedTexShape[0], packedTexShape[1]));\n int index = resTexRC.x * packedTexShape[1] + resTexRC.y;\n\n int texelsInLogicalRow = int(ceil(float(outShape[3]) / 2.0));\n int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[2]) / 2.0));\n int texelsInBatchN = texelsInBatch * outShape[1];\n\n int b2 = index / texelsInBatchN;\n index -= b2 * texelsInBatchN;\n\n int b = index / texelsInBatch;\n index -= b * texelsInBatch;\n\n int r = 2 * (index / texelsInLogicalRow);\n int c = imod(index, texelsInLogicalRow) * 2;\n\n return ivec4(b2, b, r, c);\n }\n `;let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],o=Math.ceil(r[r.length-1]/2),s=o*Math.ceil(r[r.length-2]/2),i=s,a=\"\",u=\"b, r, c\";for(let l=2;l=1?c=\"coords = 0;\":c=a.map(b=>`coords.${p[b+l]} = 0;`).join(`\n`);let m=\"\";i<2&&s>0?m=\"coords\":m=r.shapeInfo.logicalShape.map((b,w)=>`coords.${p[w+l]}`).join(\", \");let f=\"return outputValue;\",h=y.sizeFromShape(r.shapeInfo.logicalShape)===1,x=y.sizeFromShape(t.logicalShape)===1;if(s===1&&!h&&!x)f=`\n return vec4(outputValue.xy, outputValue.xy);\n `;else if(h&&!x)i===1?f=`\n return vec4(outputValue.x, outputValue.x, 0., 0.);\n `:f=`\n return vec4(outputValue.x);\n `;else if(a.length){let b=s-2,w=s-1;a.indexOf(b)>-1&&a.indexOf(w)>-1?f=\"return vec4(outputValue.x);\":a.indexOf(b)>-1?f=\"return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);\":a.indexOf(w)>-1&&(f=\"return vec4(outputValue.xx, outputValue.zz);\")}return`\n vec4 ${o}() {\n ${u} coords = getOutputCoords();\n ${c}\n vec4 outputValue = get${n}(${m});\n ${f}\n }\n `}function Ytt(r,t){let e=r.name,n=e.charAt(0).toUpperCase()+e.slice(1),o=\"get\"+n+\"AtOutCoords\",s=t.texShape,i=r.shapeInfo.texShape,a=r.shapeInfo.logicalShape.length,u=t.logicalShape.length;if(!r.shapeInfo.isUniform&&a===u&&r.shapeInfo.flatOffset==null&&y.arraysEqual(i,s))return`\n float ${o}() {\n return sampleTexture(${e}, resultUV);\n }\n `;let l=zt(u),c=rL(r.shapeInfo.logicalShape,t.logicalShape),p=u-a,m,f=[\"x\",\"y\",\"z\",\"w\",\"u\",\"v\"];a===0?m=\"\":u<2&&c.length>=1?m=\"coords = 0;\":m=c.map(h=>`coords.${f[h+p]} = 0;`).join(`\n`);let d=\"\";return u<2&&a>0?d=\"coords\":d=r.shapeInfo.logicalShape.map((h,g)=>`coords.${f[g+p]}`).join(\", \"),`\n float ${o}() {\n ${l} coords = getOutputCoords();\n ${m}\n return get${n}(${d});\n }\n `}function zt(r){if(r<=1)return\"int\";if(r===2)return\"ivec2\";if(r===3)return\"ivec3\";if(r===4)return\"ivec4\";if(r===5)return\"ivec5\";if(r===6)return\"ivec6\";throw Error(`GPU for rank ${r} is not yet supported`)}function Tw(r,t,e){let{newShape:n,keptDims:o}=y.squeezeShape(t),s=t.length,i=r&&s===3&&t[0]===1,a=i?t.slice(1):n,u=!r&&s>1&&!y.arraysEqual(t,e)&&n.lengthr[e]).join(\", \")}function aL(r,t,e,n){let o=e.map((c,p)=>{let m={logicalShape:c.shape,texShape:c.isUniform?null:c.texData.texShape,isUniform:c.isUniform,isPacked:c.isUniform?!1:c.texData.isPacked,flatOffset:null};return c.texData!=null&&c.texData.slice!=null&&c.texData.slice.flatOffset>0&&(m.flatOffset=c.texData.slice.flatOffset),{name:t.variableNames[p],shapeInfo:m}}),s=o.map(c=>c.shapeInfo),i={logicalShape:n.shape,texShape:n.texData.texShape,isUniform:!1,isPacked:n.texData.isPacked,flatOffset:null},a=nL(o,i,t),u=NT(r.gl,a),l=r.createProgram(u);return z().get(\"ENGINE_COMPILE_ONLY\")?{program:t,fragmentShader:u,source:a,webGLProgram:l,inShapeInfos:s,outShapeInfo:i,uniformLocations:null,customUniformLocations:null,infLoc:null,nanLoc:null,inShapesLocations:null,inTexShapesLocations:null,outShapeLocation:null,outShapeStridesLocation:null,outTexShapeLocation:null}:Object.assign({program:t,fragmentShader:u,source:a,webGLProgram:l,inShapeInfos:s,outShapeInfo:i},WT(r,t,l))}function WT(r,t,e){let n={},o={},s={},i=[],a,u,l,c=null,p=null;p=r.getUniformLocation(e,\"NAN\",!1),z().getNumber(\"WEBGL_VERSION\")===1&&(c=r.getUniformLocation(e,\"INFINITY\",!1));let m=!1;for(let f=0;f{i[d]=r.getUniformLocation(e,f.name,m)}),{uniformLocations:n,customUniformLocations:i,infLoc:c,nanLoc:p,inShapesLocations:o,inTexShapesLocations:s,outShapeLocation:a,outShapeStridesLocation:l,outTexShapeLocation:u}}function iL(r,t){if(r.length!==t.length)throw Error(`Binary was compiled with ${r.length} inputs, but was executed with ${t.length} inputs`);r.forEach((e,n)=>{let o=e.logicalShape,s=t[n],i=s.shape;if(!y.arraysEqual(o,i))throw Error(`Binary was compiled with different shapes than the current args. Shapes ${o} and ${i} must match`);if(e.isUniform&&s.isUniform)return;let a=e.texShape,u=s.isUniform?null:s.texData.texShape;if(!y.arraysEqual(a,u))throw Error(`Binary was compiled with different texture shapes than the current args. Shape ${a} and ${u} must match`)})}function lL(r,t,e,n,o){t.program.enableShapeUniforms||(iL(t.inShapeInfos,e),iL([t.outShapeInfo],[n]));let s=n.texData.texture,i=n.texData.texShape;n.texData.isPacked?r.setOutputPackedMatrixTexture(s.texture,i[0],i[1]):r.setOutputMatrixTexture(s.texture,i[0],i[1]),r.setProgram(t.webGLProgram),z().getNumber(\"WEBGL_VERSION\")===1&&t.infLoc!==null&&r.gl.uniform1f(t.infLoc,1/0),t.nanLoc!==null&&r.gl.uniform1f(t.nanLoc,NaN),e.forEach((u,l)=>{let c=t.program.variableNames[l],p=t.uniformLocations[c],m=t.uniformLocations[`offset${c}`],f=t.inShapesLocations[`${c}Shape`],d=t.inTexShapesLocations[`${c}TexShape`];if(f){let{uniformShape:h}=Tw(t.program.packedInputs,u.shape,u.texData.texShape);switch(h.length){case 1:r.gl.uniform1iv(f,new Int32Array(h));break;case 2:r.gl.uniform2iv(f,new Int32Array(h));break;case 3:r.gl.uniform3iv(f,new Int32Array(h));break;case 4:r.gl.uniform4iv(f,new Int32Array(h));break;default:break}}if(d&&r.gl.uniform2i(d,u.texData.texShape[0],u.texData.texShape[1]),p!=null){if(u.isUniform){if(y.sizeFromShape(u.shape)<2)r.gl.uniform1f(p,u.uniformValues[0]);else{let h=u.uniformValues;h instanceof Float32Array||(h=new Float32Array(h)),r.gl.uniform1fv(p,h)}return}u.texData.slice!=null&&m!=null&&r.gl.uniform1i(m,u.texData.slice.flatOffset),r.setInputMatrixTexture(u.texData.texture.texture,p,l)}});let a=t.outShapeLocation;if(a)switch(n.shape.length){case 1:r.gl.uniform1iv(a,new Int32Array(n.shape));break;case 2:r.gl.uniform2iv(a,new Int32Array(n.shape));break;case 3:r.gl.uniform3iv(a,new Int32Array(n.shape));break;case 4:r.gl.uniform4iv(a,new Int32Array(n.shape));break;default:break}if(t.outShapeStridesLocation){let u=y.computeStrides(n.shape);switch(n.shape.length){case 2:r.gl.uniform1iv(t.outShapeStridesLocation,new Int32Array(u));break;case 3:r.gl.uniform2iv(t.outShapeStridesLocation,new Int32Array(u));break;case 4:r.gl.uniform3iv(t.outShapeStridesLocation,new Int32Array(u));break;default:break}}t.outTexShapeLocation&&r.gl.uniform2i(t.outTexShapeLocation,n.texData.texShape[0],n.texData.texShape[1]),t.program.customUniforms&&o&&t.program.customUniforms.forEach((u,l)=>{let c=t.customUniformLocations[l],p=o[l];if(u.type===\"float\")r.gl.uniform1fv(c,p);else if(u.type===\"vec2\")r.gl.uniform2fv(c,p);else if(u.type===\"vec3\")r.gl.uniform3fv(c,p);else if(u.type===\"vec4\")r.gl.uniform4fv(c,p);else if(u.type===\"int\")r.gl.uniform1iv(c,p);else if(u.type===\"ivec2\")r.gl.uniform2iv(c,p);else if(u.type===\"ivec3\")r.gl.uniform3iv(c,p);else if(u.type===\"ivec4\")r.gl.uniform4iv(c,p);else throw Error(`uniform type ${u.type} is not supported yet.`)}),r.executeProgram()}function uL(r,t,e){let n=\"\";t.concat(e).forEach(i=>{let a=i.texData!=null&&i.texData.slice!=null&&i.texData.slice.flatOffset>0;if(r.enableShapeUniforms&&!i.isUniform){let u=i.texData.texShape,{useSqueezeShape:l,uniformShape:c,keptDims:p}=Tw(r.packedInputs,i.shape,u),m=\"\",f=\"\",d=\"\";if(c.length===1&&r.packedInputs){let N=[Math.ceil(u[0]/2),Math.ceil(u[1]/2)];m=`${N[0]>1}_${N[1]>1}`}else if(c.length===2&&!r.packedInputs)f=`${c[0]>1}_${c[1]>1}`;else if(c.length>2&&!r.packedInputs){let N=y.computeStrides(c);d=`${N[0]===u[1]}_${N[N.length-1]===u[1]}`}let h=i.shape.length,g=c.length===2&&y.arraysEqual(i.shape,u),x=y.sizeFromShape(i.shape)===1,b=v.getBroadcastDims(i.shape,e.shape),w=!r.packedInputs&&h===e.shape.length&&y.arraysEqual(u,e.texData.texShape),C=r.packedInputs||c.length>2?\"\":`${u[0]>1}_${u[1]>1}`;n+=`${h}_${w}_${l?p:\"\"}_${c.length}_${x}_${b}_${g}_${m}_${f}_${d}_${C}_${a}`}else{let u=i.isUniform?\"uniform\":i.texData.texShape;n+=`${i.shape}_${u}_${a}`}});let o=r.userCode,s=r.constructor.name;return s+=\"_\"+n+\"_\"+o+`${z().getNumber(\"WEBGL_VERSION\")}`,s}function we(r){return z().getBool(\"WEBGL_USE_SHAPES_UNIFORMS\")&&r<=4}var kw=class{constructor(t){this.variableNames=[\"A\"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=ku.DENSE,this.customUniforms=[{name:\"texShape\",type:\"ivec2\"}];let e=Ge();this.outputShape=t,this.enableShapeUniforms=we(this.outputShape.length),this.userCode=`\n ivec3 outCoordsFromFlatIndex(int index) {\n ${this.enableShapeUniforms?Mc([\"r\",\"c\",\"d\"],t):ti([\"r\",\"c\",\"d\"],t)}\n return ivec3(r, c, d);\n }\n\n void main() {\n ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1]));\n int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y);\n\n vec4 result = vec4(0.);\n\n for (int i=0; i<4; i++) {\n int flatIndex = index + i;\n ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n result[i] = getA(rc.x, rc.y, rc.z);\n }\n\n ${e.output} = result;\n }\n `}};var Ew=class{constructor(t){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=ku.DENSE,this.customUniforms=[{name:\"texShape\",type:\"ivec2\"}];let e=Ge();this.outputShape=t,this.enableShapeUniforms=we(this.outputShape.length),this.userCode=`\n ivec3 outCoordsFromFlatIndex(int index) {\n ${this.enableShapeUniforms?Mc([\"r\",\"c\",\"d\"],t):ti([\"r\",\"c\",\"d\"],t)}\n return ivec3(r, c, d);\n }\n\n void main() {\n ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1]));\n int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y);\n\n vec4 result = vec4(0.);\n\n for (int i=0; i<4; i++) {\n int flatIndex = index + i;\n ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n }\n\n ${e.output} = result;\n }\n `}};var _w=class{constructor(t){this.variableNames=[\"A\"],this.outTexUsage=jr.DOWNLOAD;let e=Ge();this.outputShape=t,this.userCode=`\n ${Nw}\n\n void main() {\n float x = getAAtOutCoords();\n ${e.output} = encode_float(x);\n }\n `}};var Aw=class{constructor(t){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=jr.DOWNLOAD;let e=Ge();this.outputShape=t,this.userCode=`\n ${Nw}\n\n void main() {\n ivec3 coords = getOutputCoords();\n float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n ${e.output} = encode_float(x);\n }\n `}};var Qtt={R:0,G:1,B:2,A:3},Jh=class{constructor(t,e=!1,n=\"RGBA\"){this.variableNames=[\"A\"],this.customUniforms=[{name:\"texShape\",type:\"ivec2\"}];let o=Ge();this.outputShape=t,this.enableShapeUniforms=we(this.outputShape.length);let s=\"result\";e&&(s=\"floor(result * 255. + 0.5)\");let i=\"\";for(let a=0;aJT,createBufferFromOutputTexture:()=>ek,createFloat16MatrixTexture:()=>jT,createFloat16PackedMatrixTexture:()=>ZT,createFloat32MatrixTexture:()=>KT,createIndexBuffer:()=>qT,createPackedMatrixTexture:()=>YT,createUnsignedBytesMatrixTexture:()=>XT,createVertexBuffer:()=>HT,createVertexShader:()=>UT,downloadByteEncodedFloatMatrixFromOutputTexture:()=>nk,downloadFloat32MatrixFromBuffer:()=>rk,downloadMatrixFromPackedOutputTexture:()=>sk,downloadPackedMatrixFromBuffer:()=>ok,getInternalFormatForFloat16MatrixTexture:()=>Rw,getInternalFormatForFloat16PackedMatrixTexture:()=>Pw,getInternalFormatForFloat32MatrixTexture:()=>Dw,getInternalFormatForPackedMatrixTexture:()=>Ow,getInternalFormatForUnsignedBytesMatrixTexture:()=>Fw,uploadDenseMatrixToTexture:()=>QT,uploadPixelDataToTexture:()=>tk});function UT(r){let t=Ge(),e=`${t.version}\n precision highp float;\n ${t.attribute} vec3 clipSpacePos;\n ${t.attribute} vec2 uv;\n ${t.varyingVs} vec2 resultUV;\n\n void main() {\n gl_Position = vec4(clipSpacePos, 1);\n resultUV = uv;\n }`;return vT(r,e)}function HT(r){let t=new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]);return ET(r,t)}function qT(r){let t=new Uint16Array([0,1,2,2,1,3]);return _T(r,t)}function Qh(r,t,e,n,o,s){$T(t,e);let i=AT(r),a=r.TEXTURE_2D;return yt(r,()=>r.bindTexture(a,i)),yt(r,()=>r.texParameteri(a,r.TEXTURE_WRAP_S,r.CLAMP_TO_EDGE)),yt(r,()=>r.texParameteri(a,r.TEXTURE_WRAP_T,r.CLAMP_TO_EDGE)),yt(r,()=>r.texParameteri(a,r.TEXTURE_MIN_FILTER,r.NEAREST)),yt(r,()=>r.texParameteri(a,r.TEXTURE_MAG_FILTER,r.NEAREST)),z().getNumber(\"WEBGL_VERSION\")===1?yt(r,()=>r.texImage2D(a,0,n,t,e,0,o,s,null)):yt(r,()=>r.texStorage2D(a,1,n,t,e)),yt(r,()=>r.bindTexture(r.TEXTURE_2D,null)),{texture:i,texShape:[e,t]}}function Dw(r){return r.internalFormatFloat}function KT(r,t,e,n){let[o,s]=Lc(t,e);return Qh(r,o,s,Dw(n),n.textureFormatFloat,r.FLOAT)}function Rw(r){return r.internalFormatHalfFloat}function jT(r,t,e,n){let[o,s]=Lc(t,e);return Qh(r,o,s,Rw(n),n.textureFormatFloat,n.textureTypeHalfFloat)}function Fw(r){return r.downloadTextureFormat}function XT(r,t,e,n){let[o,s]=Lc(t,e);return Qh(r,o,s,Fw(n),r.RGBA,r.UNSIGNED_BYTE)}function Ow(r){return r.internalFormatPackedFloat}function YT(r,t,e,n){let[o,s]=Xi(t,e);return Qh(r,o,s,Ow(n),r.RGBA,r.FLOAT)}function Pw(r){return r.internalFormatPackedHalfFloat}function ZT(r,t,e,n){let[o,s]=Xi(t,e);return Qh(r,o,s,Pw(n),r.RGBA,n.textureTypeHalfFloat)}function JT(r,t,e){return yt(r,()=>r.bindBuffer(r.ARRAY_BUFFER,e)),Iw(r,t,\"clipSpacePos\",e,3,20,0)&&Iw(r,t,\"uv\",e,2,20,12)}function QT(r,t,e,n,o,s){yt(r,()=>r.bindTexture(r.TEXTURE_2D,t));let i,a,u;o instanceof Uint8Array?(i=new Uint8Array(e*n*4),a=r.UNSIGNED_BYTE,u=r.RGBA):(i=new Float32Array(e*n*4),a=r.FLOAT,u=s.internalFormatPackedFloat),i.set(o),z().getNumber(\"WEBGL_VERSION\")===2?yt(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,e,n,r.RGBA,a,i)):yt(r,()=>r.texImage2D(r.TEXTURE_2D,0,u,e,n,0,r.RGBA,a,i)),yt(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function tk(r,t,e){yt(r,()=>r.bindTexture(r.TEXTURE_2D,t)),e.data instanceof Uint8Array?z().getNumber(\"WEBGL_VERSION\")===2?yt(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,e.width,e.height,r.RGBA,r.UNSIGNED_BYTE,e.data)):yt(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,e.width,e.height,0,r.RGBA,r.UNSIGNED_BYTE,e.data)):z().getNumber(\"WEBGL_VERSION\")===2?yt(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,e)):yt(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,r.RGBA,r.UNSIGNED_BYTE,e)),yt(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function ek(r,t,e,n){let o=r.createBuffer();yt(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,o));let a=4*4*t*e;return yt(r,()=>r.bufferData(r.PIXEL_PACK_BUFFER,a,r.STREAM_READ)),yt(r,()=>r.readPixels(0,0,e,t,r.RGBA,r.FLOAT,0)),yt(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,null)),o}function rk(r,t,e){let n=r,o=new Float32Array(e);return n.bindBuffer(n.PIXEL_PACK_BUFFER,t),n.getBufferSubData(n.PIXEL_PACK_BUFFER,0,o),n.bindBuffer(n.PIXEL_PACK_BUFFER,null),o}function nk(r,t,e,n){let[o,s]=Lc(t,e),i=4,a=new Uint8Array(XP(t*e,i));return yt(r,()=>r.readPixels(0,0,o,s,n.downloadTextureFormat,r.UNSIGNED_BYTE,a)),new Float32Array(a.buffer)}function ok(r,t,e,n,o,s,i,a){let u=r,l=new Float32Array(YP(s,i));return u.bindBuffer(u.PIXEL_PACK_BUFFER,t),u.getBufferSubData(u.PIXEL_PACK_BUFFER,0,l),u.bindBuffer(u.PIXEL_PACK_BUFFER,null),l}function sk(r,t,e){let n=new Float32Array(t*e*4);return yt(r,()=>r.readPixels(0,0,e,t,r.RGBA,r.FLOAT,n)),n}var Bc=class{constructor(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];let e=z().getNumber(\"WEBGL_VERSION\");t!=null?(this.gl=t,wT(e,t)):this.gl=Gn(e);let n=\"WEBGL_color_buffer_float\",o=\"EXT_color_buffer_half_float\";if(this.parallelCompilationExtension=this.gl.getExtension(\"KHR_parallel_shader_compile\"),z().getNumber(\"WEBGL_VERSION\")===1){let s=\"OES_texture_float\",i=\"OES_texture_half_float\";if(this.textureFloatExtension=pd(this.gl,s),Wn(this.gl,i))this.textureHalfFloatExtension=pd(this.gl,i);else if(z().get(\"WEBGL_FORCE_F16_TEXTURES\"))throw new Error(\"GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.\");if(this.colorBufferFloatExtension=this.gl.getExtension(n),Wn(this.gl,o))this.colorBufferHalfFloatExtension=pd(this.gl,o);else if(z().get(\"WEBGL_FORCE_F16_TEXTURES\"))throw new Error(\"GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.\")}else if(n=\"EXT_color_buffer_float\",Wn(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else if(Wn(this.gl,o))this.colorBufferHalfFloatExtension=this.gl.getExtension(o);else throw new Error(\"GL context does not support color renderable floats\");this.vertexBuffer=HT(this.gl),this.indexBuffer=qT(this.gl),this.framebuffer=DT(this.gl),this.textureConfig=Xh(this.gl,this.textureHalfFloatExtension)}get debug(){return z().getBool(\"DEBUG\")}dispose(){if(this.disposed)return;this.program!=null&&console.warn(\"Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing.\"),this.outputTexture!=null&&console.warn(\"Disposing a GPGPUContext that still has a bound output matrix texture. This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.\");let t=this.gl;yt(t,()=>t.finish()),yt(t,()=>t.bindFramebuffer(t.FRAMEBUFFER,null)),yt(t,()=>t.deleteFramebuffer(this.framebuffer)),yt(t,()=>t.bindBuffer(t.ARRAY_BUFFER,null)),yt(t,()=>t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null)),yt(t,()=>t.deleteBuffer(this.indexBuffer)),this.disposed=!0}createFloat32MatrixTexture(t,e){return this.throwIfDisposed(),KT(this.gl,t,e,this.textureConfig)}createFloat16MatrixTexture(t,e){return this.throwIfDisposed(),jT(this.gl,t,e,this.textureConfig)}createUnsignedBytesMatrixTexture(t,e){return this.throwIfDisposed(),XT(this.gl,t,e,this.textureConfig)}uploadPixelDataToTexture(t,e){this.throwIfDisposed(),tk(this.gl,t,e)}uploadDenseMatrixToTexture(t,e,n,o){this.throwIfDisposed(),QT(this.gl,t,e,n,o,this.textureConfig)}createFloat16PackedMatrixTexture(t,e){return this.throwIfDisposed(),ZT(this.gl,t,e,this.textureConfig)}createPackedMatrixTexture(t,e){return this.throwIfDisposed(),YT(this.gl,t,e,this.textureConfig)}deleteMatrixTexture(t){this.throwIfDisposed(),this.outputTexture===t&&(Sw(this.gl,this.framebuffer),this.outputTexture=null),yt(this.gl,()=>this.gl.deleteTexture(t))}downloadByteEncodedFloatMatrixFromOutputTexture(t,e,n){return this.downloadMatrixDriver(t,()=>nk(this.gl,e,n,this.textureConfig))}downloadPackedMatrixFromBuffer(t,e,n,o,s,i){return ok(this.gl,t,e,n,o,s,i,this.textureConfig)}downloadFloat32MatrixFromBuffer(t,e){return rk(this.gl,t,e)}createBufferFromTexture(t,e,n){this.bindTextureToFrameBuffer(t);let o=ek(this.gl,e,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),o}createAndWaitForFence(){let t=this.createFence(this.gl);return this.pollFence(t)}createFence(t){let e,n;if(z().getBool(\"WEBGL_FENCE_API_ENABLED\")){let o=t,s=o.fenceSync(o.SYNC_GPU_COMMANDS_COMPLETE,0);t.flush(),n=()=>{let i=o.clientWaitSync(s,0,0);return i===o.ALREADY_SIGNALED||i===o.CONDITION_SATISFIED},e=s}else z().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0?(e=this.beginQuery(),this.endQuery(),n=()=>this.isQueryAvailable(e,z().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))):n=()=>!0;return{query:e,isFencePassed:n}}downloadMatrixFromPackedTexture(t,e,n){return this.downloadMatrixDriver(t,()=>sk(this.gl,e,n))}createProgram(t){this.throwIfDisposed();let e=this.gl;this.vertexShader==null&&(this.vertexShader=UT(e));let n=TT(e);return yt(e,()=>e.attachShader(n,this.vertexShader)),yt(e,()=>e.attachShader(n,t)),kT(e,n),this.debug&&Yh(e,n),this.vertexAttrsAreBound||(this.setProgram(n),this.vertexAttrsAreBound=JT(e,this.program,this.vertexBuffer)),n}deleteProgram(t){this.throwIfDisposed(),t===this.program&&(this.program=null),t!=null&&yt(this.gl,()=>this.gl.deleteProgram(t))}setProgram(t){this.throwIfDisposed(),this.program=t,this.program!=null&&this.debug&&Yh(this.gl,this.program),yt(this.gl,()=>this.gl.useProgram(t))}getUniformLocation(t,e,n=!0){return this.throwIfDisposed(),n?RT(this.gl,t,e):FT(this.gl,t,e)}getAttributeLocation(t,e){return this.throwIfDisposed(),yt(this.gl,()=>this.gl.getAttribLocation(t,e))}getUniformLocationNoThrow(t,e){return this.throwIfDisposed(),this.gl.getUniformLocation(t,e)}setInputMatrixTexture(t,e,n){this.throwIfDisposed(),this.throwIfNoProgram(),OT(this.gl,t,e,n)}setOutputMatrixTexture(t,e,n){this.setOutputMatrixTextureDriver(t,n,e)}setOutputPackedMatrixTexture(t,e,n){this.throwIfDisposed();let[o,s]=Xi(e,n);this.setOutputMatrixTextureDriver(t,o,s)}setOutputMatrixWriteRegion(t,e,n,o){this.setOutputMatrixWriteRegionDriver(n,t,o,e)}setOutputPackedMatrixWriteRegion(t,e,n,o){throw new Error(\"setOutputPackedMatrixWriteRegion not implemented.\")}debugValidate(){this.program!=null&&Yh(this.gl,this.program),md(this.gl)}executeProgram(){this.throwIfDisposed(),this.throwIfNoProgram();let t=this.gl;this.debug&&this.debugValidate(),yt(t,()=>t.drawElements(t.TRIANGLES,6,t.UNSIGNED_SHORT,0))}blockUntilAllProgramsCompleted(){this.throwIfDisposed(),yt(this.gl,()=>this.gl.finish())}getQueryTimerExtension(){return this.disjointQueryTimerExtension==null&&(this.disjointQueryTimerExtension=pd(this.gl,z().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")===2?\"EXT_disjoint_timer_query_webgl2\":\"EXT_disjoint_timer_query\")),this.disjointQueryTimerExtension}getQueryTimerExtensionWebGL2(){return this.getQueryTimerExtension()}getQueryTimerExtensionWebGL1(){return this.getQueryTimerExtension()}beginQuery(){if(z().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")===2){let n=this.gl,o=this.getQueryTimerExtensionWebGL2(),s=n.createQuery();return n.beginQuery(o.TIME_ELAPSED_EXT,s),s}let t=this.getQueryTimerExtensionWebGL1(),e=t.createQueryEXT();return t.beginQueryEXT(t.TIME_ELAPSED_EXT,e),e}endQuery(){if(z().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")===2){let e=this.gl,n=this.getQueryTimerExtensionWebGL2();e.endQuery(n.TIME_ELAPSED_EXT);return}let t=this.getQueryTimerExtensionWebGL1();t.endQueryEXT(t.TIME_ELAPSED_EXT)}async waitForQueryAndGetTime(t){return await y.repeatedTry(()=>this.disposed||this.isQueryAvailable(t,z().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))),this.getQueryTime(t,z().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))}getQueryTime(t,e){if(e===0)return null;if(e===2){let n=this.gl;return n.getQueryParameter(t,n.QUERY_RESULT)/1e6}else{let n=this.getQueryTimerExtensionWebGL1();return n.getQueryObjectEXT(t,n.QUERY_RESULT_EXT)/1e6}}isQueryAvailable(t,e){if(e===0)return!0;if(e===2){let n=this.gl,o=this.getQueryTimerExtensionWebGL2(),s=n.getQueryParameter(t,n.QUERY_RESULT_AVAILABLE);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(o.GPU_DISJOINT_EXT)),s&&!this.disjoint}else{let n=this.getQueryTimerExtensionWebGL1(),o=n.getQueryObjectEXT(t,n.QUERY_RESULT_AVAILABLE_EXT);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(n.GPU_DISJOINT_EXT)),o&&!this.disjoint}}pollFence(t){return new Promise(e=>{this.addItemToPoll(()=>t.isFencePassed(),()=>e())})}pollItems(){let t=tet(this.itemsToPoll.map(e=>e.isDoneFn));for(let e=0;e<=t;++e){let{resolveFn:n}=this.itemsToPoll[e];n()}this.itemsToPoll=this.itemsToPoll.slice(t+1)}addItemToPoll(t,e){if(this.itemsToPoll.push({isDoneFn:t,resolveFn:e}),this.itemsToPoll.length>1)return;let n;\"setTimeoutCustom\"in z().platform&&(n=z().platform.setTimeoutCustom.bind(z().platform)),y.repeatedTry(()=>(this.pollItems(),this.itemsToPoll.length===0),()=>0,null,n)}bindTextureToFrameBuffer(t){this.throwIfDisposed(),Zh(this.gl,t,this.framebuffer),this.debug&&md(this.gl)}unbindTextureToFrameBuffer(){this.outputTexture!=null?(Zh(this.gl,this.outputTexture,this.framebuffer),this.debug&&md(this.gl)):Sw(this.gl,this.framebuffer)}downloadMatrixDriver(t,e){this.bindTextureToFrameBuffer(t);let n=e();return this.unbindTextureToFrameBuffer(),n}setOutputMatrixTextureDriver(t,e,n){this.throwIfDisposed();let o=this.gl;Zh(o,t,this.framebuffer),this.debug&&md(o),this.outputTexture=t,yt(o,()=>o.viewport(0,0,e,n)),yt(o,()=>o.scissor(0,0,e,n))}setOutputMatrixWriteRegionDriver(t,e,n,o){this.throwIfDisposed(),yt(this.gl,()=>this.gl.scissor(t,e,n,o))}throwIfDisposed(){if(this.disposed)throw new Error(\"Attempted to use disposed GPGPUContext.\")}throwIfNoProgram(){if(this.program==null)throw new Error(\"No GPU program is currently set.\")}};function tet(r){let t=0;for(;t`${r}.${e}`)}function Qe(r,t){return t===1?[r]:ak(r,t)}function QL(r,t){if(r===1)return\"rc\";let e=\"\";for(let n=0;n ${this.enableShapeUniforms?\"outShape\":this.outputShape[0]}`;let e=\"\";for(let n=this.rank-2;n= ${this.enableShapeUniforms?`outShape[${n}]`:this.outputShape[n]}`,n= ${n};\n bool rEdge = rp1 >= ${o};\n `}getOutput(t){let e=this.getSourceCoordsArr(t);return this.rank===1?`getA(rc), (rc + 1 >= ${this.enableShapeUniforms?\"outShape\":this.outputShape[0]} ? 0. : getA(rc + 1)), 0, 0`:`getA(${e[0]}),\n cEdge ? 0. : getA(${e[1]}),\n rEdge ? 0. : getA(${e[2]}),\n rEdge || cEdge ? 0. : getA(${e[3]})`}};var Id=class{constructor(t,e){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"inputShape\",type:\"ivec3\"}],this.outputShape=t,this.enableShapeUniforms=we(this.outputShape.length);let n=\"\";for(let o=0;o<4;o++){let s=\"thisRC = rc;\";o%2===1&&(s+=\"thisRC.z += 1;\"),o>1&&(s+=\"thisRC.y += 1;\"),n+=`\n ${s}\n ${o>0?\"if(thisRC.y < rows && thisRC.z < cols){\":\"\"}\n int flatIndex = getFlatIndex(thisRC);\n\n ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n result[${o}] =\n getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n ${o>0?\"}\":\"\"}\n `}this.userCode=`\n ${eet(e,this.enableShapeUniforms)}\n ${this.enableShapeUniforms?gd():hd(t)}\n\n void main() {\n ivec3 rc = getOutputCoords();\n\n vec4 result = vec4(0.);\n\n ivec3 thisRC;\n int rows = ${this.enableShapeUniforms?\"outShape[1]\":t[1]};\n int cols = ${this.enableShapeUniforms?\"outShape[2]\":t[2]};\n\n ${n}\n\n setOutput(result);\n }\n `}};function eet(r,t){return`\n ivec3 inputCoordsFromReshapedOutCoords(int index) {\n ${t?eL([\"r\",\"c\",\"d\"],\"inputShape\"):ti([\"r\",\"c\",\"d\"],r)}\n return ivec3(r, c, d);\n }\n `}var Vw=class{constructor(t){this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}acquireTexture(t,e,n){let o=eM(e,n),s=rM(t,o,n);s in this.freeTextures||(this.freeTextures[s]=[]),s in this.usedTextures||(this.usedTextures[s]=[]);let i=tM(t,o,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[s].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=i,this.log();let u=this.freeTextures[s].shift();return this.usedTextures[s].push(u),u}let a;return o===Pr.PACKED_2X2_FLOAT32?a=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):o===Pr.PACKED_2X2_FLOAT16?a=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):o===Pr.UNPACKED_FLOAT32?a=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):o===Pr.UNPACKED_FLOAT16?a=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):o===Pr.PACKED_4X1_UNSIGNED_BYTE&&(a=this.gpgpu.createUnsignedBytesMatrixTexture(t[0],t[1])),this.usedTextures[s].push(a),this.numUsedTextures++,this._numBytesAllocated+=i,this.log(),a}releaseTexture(t,e,n,o){if(this.freeTextures==null)return;let s=eM(n,o),i=rM(e,s,o);i in this.freeTextures||(this.freeTextures[i]=[]);let a=tM(e,s,this.gpgpu.gl,this.gpgpu.textureConfig,o),u=z().get(\"WEBGL_DELETE_TEXTURE_THRESHOLD\");u!==-1&&this._numBytesAllocated>u?(this.gpgpu.deleteMatrixTexture(t.texture),this._numBytesAllocated-=a):(this.freeTextures[i].push(t),this.numFreeTextures++,this._numBytesFree+=a),this.numUsedTextures--;let l=this.usedTextures[i],c=l.indexOf(t);if(c<0)throw new Error(\"Cannot release a texture that was never provided by this texture manager\");l.splice(c,1),this.log()}log(){if(!this.logEnabled)return;let t=this.numFreeTextures+this.numUsedTextures;console.log(\"Free/Used\",`${this.numFreeTextures} / ${this.numUsedTextures}`,`(${t})`);let e=this._numBytesFree/this._numBytesAllocated;console.log(`Bytes allocated: ${this._numBytesAllocated}`),console.log(`Bytes unused: ${this._numBytesFree} (${Math.round(100*e)}%)`)}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(this.freeTextures!=null){for(let t in this.freeTextures)this.freeTextures[t].forEach(e=>{this.gpgpu.deleteMatrixTexture(e.texture)});for(let t in this.usedTextures)this.usedTextures[t].forEach(e=>{this.gpgpu.deleteMatrixTexture(e.texture)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}};function ret(r,t){let e=r;if(t===e.R32F)return 4;if(t===e.R16F)return 2;if(t===e.RGBA32F)return 16;if(t===r.RGBA)return 16;if(t===e.RGBA16F)return 8;if(t===e.RGBA8)return 4;throw new Error(`Unknown internal format ${t}`)}function tM(r,t,e,n,o){let s=net(t,n),i;if(o){let[u,l]=Xi(r[0],r[1]);i=u*l}else{let[u,l]=Lc(r[0],r[1]);i=u*l}let a=ret(e,s);return i*a}function net(r,t){switch(r){case Pr.PACKED_2X2_FLOAT32:return Ow(t);case Pr.PACKED_2X2_FLOAT16:return Pw(t);case Pr.UNPACKED_FLOAT32:return Dw(t);case Pr.UNPACKED_FLOAT16:return Rw(t);case Pr.PACKED_4X1_UNSIGNED_BYTE:return Fw(t);default:throw new Error(`Unknown physical texture type ${r}`)}}function oet(r){return z().getBool(\"WEBGL_RENDER_FLOAT32_ENABLED\")?r?Pr.PACKED_2X2_FLOAT32:Pr.UNPACKED_FLOAT32:r?Pr.PACKED_2X2_FLOAT16:Pr.UNPACKED_FLOAT16}function eM(r,t){if(r===jr.UPLOAD)return Pr.PACKED_2X2_FLOAT32;if(r===jr.RENDER||r==null)return oet(t);if(r===jr.DOWNLOAD||r===jr.PIXELS)return Pr.PACKED_4X1_UNSIGNED_BYTE;throw new Error(`Unknown logical texture type ${r}`)}function rM(r,t,e){return`${r[0]}_${r[1]}_${t}_${e}`}var tn=class{constructor(t,e){this.variableNames=[\"A\"],this.outputShape=t,this.enableShapeUniforms=we(this.outputShape.length),this.userCode=`\n float unaryOperation(float x) {\n ${e}\n }\n\n void main() {\n float x = getAAtOutCoords();\n float y = unaryOperation(x);\n\n setOutput(y);\n }\n `}},fr=\"if (isnan(x)) return x;\",nM=\"return x;\",lk=\"return abs(x);\";var oM=\"return (x >= 0.0) ? x : (exp(x) - 1.0);\",sM=fr+`\n return (x < 0.0) ? 0.0 : x;\n`,iM=fr+`\n return (x < 0.0) ? 0.0 : min(6.0, x);\n`,Gc=\"return x;\",aM=\"return 1.0 / (1.0 + exp(-1.0 * x));\";var uM=\"return x;\",cM=`\n vec4 result;\n\n result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n return result;\n`,pM=`\n vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,mM=`\n vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,fM=\"return 1.0 / (1.0 + exp(-1.0 * x));\",so=class{constructor(t,e){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.enableShapeUniforms=we(this.outputShape.length),this.userCode=`\n vec4 unaryOperation(vec4 x) {\n ${e}\n }\n\n void main() {\n vec4 x = getAAtOutCoords();\n vec4 y = unaryOperation(x);\n\n setOutput(y);\n }\n `}};var Gw=class{constructor(t){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t,this.enableShapeUniforms=we(this.outputShape.length);let e=t.length,n=Qe(\"rc\",e),o=zt(e),s=QL(e,n),i=n.slice(-2),a=e<=1?\"rc\":`vec2(${i.join(\",\")})`;this.userCode=`\n void main() {\n ${o} rc = getOutputCoords();\n vec4 packedInput = getA(${s});\n\n setOutput(getChannel(packedInput, ${a}));\n }\n `}};var iet=Ur.whereImpl,aet=1e-7,uet=1e-4,Ww={};function cet(r){return r in Ww||(Ww[r]={}),Ww[r]}var pet=z().getNumber(\"CPU_HANDOFF_SIZE_THRESHOLD\"),met=600;function fet(){return z().global.screen==null?1024:z().global.screen.height*z().global.screen.width*window.devicePixelRatio*met/1024/1024}var _u=class extends zo{constructor(t){if(super(),this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.lastGlFlushTime=0,this.warnedAboutMemory=!1,this.pendingDeletes=0,this.disposed=!1,!z().getBool(\"HAS_WEBGL\"))throw new Error(\"WebGL is not supported on this device\");let e;if(t!=null){if(t instanceof Bc)e=t;else{let n=Gn(z().getNumber(\"WEBGL_VERSION\"),t);e=new Bc(n)}this.binaryCache={},this.gpgpuCreatedLocally=!1}else{let n=Gn(z().getNumber(\"WEBGL_VERSION\"));e=new Bc(n),this.binaryCache=cet(z().getNumber(\"WEBGL_VERSION\")),this.gpgpuCreatedLocally=!0}this.gpgpu=e,this.canvas=this.gpgpu.gl.canvas,this.textureManager=new Vw(this.gpgpu),this.numMBBeforeWarning=fet(),this.texData=new ra(this,Pn())}nextDataId(){return _u.nextDataId++}numDataIds(){return this.texData.numDataIds()-this.pendingDeletes}writeTexture(t,e,n,o,s,i){let a=this.makeTensorInfo(e,n),u=this.texData.get(a.dataId);u.isPacked=!1,u.texture={texture:t,texShape:[o,s]},u.texShape=[o,s];let l=fd(e),c=new Jh(l,!1,i),p=this.runWebGLProgram(c,[a],n,[[o,s]]);return p.shape=e,u.texture=null,this.disposeIntermediateTensorInfo(a),p.dataId}write(t,e,n){if((z().getBool(\"WEBGL_CHECK_NUMERICAL_PROBLEMS\")||z().getBool(\"DEBUG\"))&&this.checkNumericalProblems(t),n===\"complex64\"&&t!=null)throw new Error(\"Cannot write to a complex64 dtype. Please use tf.complex(real, imag).\");let o={id:this.nextDataId()};return this.texData.set(o,{shape:e,dtype:n,values:t,usage:jr.UPLOAD,refCount:1}),o}refCount(t){return this.texData.has(t)?this.texData.get(t).refCount:0}incRef(t){let e=this.texData.get(t);e.refCount++}decRef(t){if(this.texData.has(t)){let e=this.texData.get(t);e.refCount--}}move(t,e,n,o,s){if(z().getBool(\"DEBUG\")&&this.checkNumericalProblems(e),o===\"complex64\")throw new Error(\"Cannot write to a complex64 dtype. Please use tf.complex(real, imag).\");this.texData.set(t,{shape:n,dtype:o,values:e,usage:jr.UPLOAD,refCount:s})}disposeIntermediateTensorInfo(t){this.disposeData(t.dataId)}readSync(t){let e=this.texData.get(t),{values:n,dtype:o,complexTensorInfos:s,slice:i,shape:a,isPacked:u}=e;if(i!=null){let m;u?m=new so(a,Gc):m=new tn(a,Gc);let f=this.runWebGLProgram(m,[{dataId:t,shape:a,dtype:o}],o),d=this.readSync(f.dataId);return this.disposeIntermediateTensorInfo(f),d}if(n!=null)return this.convertAndCacheOnCPU(t);if(o===\"string\")return n;let l=this.activeTimers!=null,c;l&&(c=y.now());let p;if(o===\"complex64\"){let m=this.readSync(s.real.dataId),f=this.readSync(s.imag.dataId);p=v.mergeRealAndImagArrays(m,f)}else p=this.getValuesFromTexture(t);return l&&(this.downloadWaitMs+=y.now()-c),this.convertAndCacheOnCPU(t,p)}async read(t){if(this.pendingRead.has(t)){let d=this.pendingRead.get(t);return new Promise(h=>d.push(h))}let e=this.texData.get(t),{values:n,shape:o,slice:s,dtype:i,complexTensorInfos:a,isPacked:u}=e;if(s!=null){let d;u?d=new so(o,Gc):d=new tn(o,Gc);let h=this.runWebGLProgram(d,[{dataId:t,shape:o,dtype:i}],i),g=this.read(h.dataId);return this.disposeIntermediateTensorInfo(h),g}if(n!=null)return this.convertAndCacheOnCPU(t);if(z().getBool(\"DEBUG\")&&!z().getBool(\"WEBGL_DOWNLOAD_FLOAT_ENABLED\")&&z().getNumber(\"WEBGL_VERSION\")===2)throw new Error(\"tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.\");let l=null,c;if(i!==\"complex64\"&&z().get(\"WEBGL_BUFFER_SUPPORTED\")){c=this.decode(t);let d=this.texData.get(c.dataId);l=this.gpgpu.createBufferFromTexture(d.texture.texture,...jh(o))}this.pendingRead.set(t,[]),i!==\"complex64\"&&await this.gpgpu.createAndWaitForFence();let p;if(i===\"complex64\"){let d=await Promise.all([this.read(a.real.dataId),this.read(a.imag.dataId)]),h=d[0],g=d[1];p=v.mergeRealAndImagArrays(h,g)}else if(l==null)p=this.getValuesFromTexture(t);else{let d=y.sizeFromShape(o);p=this.gpgpu.downloadFloat32MatrixFromBuffer(l,d)}if(c!=null&&this.disposeIntermediateTensorInfo(c),l!=null){let d=this.gpgpu.gl;yt(d,()=>d.deleteBuffer(l))}let m=this.convertAndCacheOnCPU(t,p),f=this.pendingRead.get(t);return this.pendingRead.delete(t),f.forEach(d=>d(m)),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t)&&Pn().removeDataId(t,this),this.pendingDeletes--),m}readToGPU(t,e={}){let n=this.texData.get(t),{values:o,shape:s,slice:i,dtype:a,isPacked:u,texture:l}=n;if(a===\"complex64\")throw new Error(\"Does not support reading texture for complex64 dtype.\");if(i!=null){let f;u?f=new so(s,Gc):f=new tn(s,Gc);let d=this.runWebGLProgram(f,[{dataId:t,shape:s,dtype:a}],a),h=this.readToGPU(d,e);return this.disposeIntermediateTensorInfo(d),h}if(l==null)throw o!=null?new Error(\"Data is not on GPU but on CPU.\"):new Error(\"There is no data on GPU or CPU.\");let c=this.decode(t,e.customTexShape),p=Pn().makeTensorFromTensorInfo(c),m=this.texData.get(c.dataId);return Object.assign({tensorRef:p},m.texture)}bufferSync(t){let e=this.readSync(t.dataId);if(t.dtype===\"string\")try{let n=e.map(o=>y.decodeString(o));return wt(t.shape,t.dtype,n)}catch(n){throw new Error(\"Failed to decode encoded string bytes into utf-8\")}return wt(t.shape,t.dtype,e)}checkNumericalProblems(t){if(t!=null)for(let e=0;e0}time(t){let e=this.activeTimers,n=[],o=!1;this.programTimersStack==null?(this.programTimersStack=n,o=!0):this.activeTimers.push(n),this.activeTimers=n,t();let s=y.flatten(this.activeTimers.map(u=>u.query)).filter(u=>u!=null),i=y.flatten(this.activeTimers.map(u=>u.name)).filter(u=>u!=null);this.activeTimers=e,o&&(this.programTimersStack=null);let a={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};return(async()=>{if(z().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\")>0){let u=await Promise.all(s);a.kernelMs=y.sum(u),a.getExtraProfileInfo=()=>u.map((l,c)=>({name:i[c],ms:l})).map(l=>`${l.name}: ${l.ms}`).join(\", \")}else a.kernelMs={error:\"WebGL query timers are not supported in this environment.\"};return this.uploadWaitMs=0,this.downloadWaitMs=0,a})()}memory(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}startTimer(){return z().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\")>0?this.gpgpu.beginQuery():{startMs:y.now(),endMs:null}}endTimer(t){return z().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\")>0?(this.gpgpu.endQuery(),t):(t.endMs=y.now(),t)}async getQueryTime(t){if(z().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\")>0)return this.gpgpu.waitForQueryAndGetTime(t);let e=t;return e.endMs-e.startMs}disposeData(t,e=!1){if(this.pendingDisposal.has(t))return!1;if(!this.texData.has(t))return!0;if(e?this.texData.get(t).refCount=0:this.texData.get(t).refCount--,!e&&this.texData.get(t).refCount>0)return!1;if(this.pendingRead.has(t))return this.pendingDisposal.add(t),this.pendingDeletes++,!1;this.releaseGPUData(t);let{complexTensorInfos:n}=this.texData.get(t);return n!=null&&(this.disposeData(n.real.dataId,e),this.disposeData(n.imag.dataId,e)),this.texData.delete(t),!0}releaseGPUData(t){let{texture:e,dtype:n,texShape:o,usage:s,isPacked:i,slice:a}=this.texData.get(t),u=a&&a.origDataId||t,l=this.dataRefCount.get(u);l>1?this.dataRefCount.set(u,l-1):(this.dataRefCount.delete(u),e!=null&&(this.numBytesInGPU-=this.computeBytes(o,n),this.textureManager.releaseTexture(e,o,s,i)));let c=this.texData.get(t);c.texture=null,c.texShape=null,c.isPacked=!1,c.slice=null}getTexture(t){return this.uploadToGPU(t),this.texData.get(t).texture.texture}getDataInfo(t){return this.texData.get(t)}shouldExecuteOnCPU(t,e=pet){return z().getBool(\"WEBGL_CPU_FORWARD\")&&t.every(n=>this.texData.get(n.dataId).texture==null&&y.sizeFromShape(n.shape)0&&y.isString(n[0])){let s=n.map(i=>y.encodeString(i));o=this.write(s,t,e)}else o=this.write(n,t,e);return this.texData.get(o).usage=null,{dataId:o,shape:t,dtype:e}}makeOutput(t,e,n){return Pn().makeTensorFromTensorInfo(this.makeTensorInfo(t,e,n),this)}unpackTensor(t){let e=new Gw(t.shape);return this.runWebGLProgram(e,[t],t.dtype)}packTensor(t){let e=new Bw(t.shape),n=!0;return this.runWebGLProgram(e,[t],t.dtype,null,n)}packedReshape(t,e){let n=[xl(t.shape),...yl(t.shape)],o={dtype:t.dtype,shape:n,dataId:t.dataId},s=[xl(e),...yl(e)],i=new Id(s,n),a=!0,u=[n],l=this.runWebGLProgram(i,[o],t.dtype,u,a);return{dataId:l.dataId,shape:e,dtype:l.dtype}}decode(t,e){let n=this.texData.get(t),{isPacked:o,shape:s,dtype:i}=n;if(e!=null){let m=y.sizeFromShape(s),f=e[0]*e[1]*4;y.assert(m<=f,()=>\"customTexShape is too small. Row * Column * 4 should be equal or larger than the size of the tensor data.\")}let a=fd(s),u;o?u=new Ew(a):u=new kw(a);let l=!0,c=[e!=null?e:jh(a)],p=this.runWebGLProgram(u,[{shape:a,dtype:i,dataId:t}],i,c,l,e);return{dtype:i,shape:s,dataId:p.dataId}}runWebGLProgram(t,e,n,o,s=!1,i){let a=this.makeTensorInfo(t.outputShape,n),u=this.texData.get(a.dataId);if(t.packedOutput&&(u.isPacked=!0),t.outPackingScheme===ku.DENSE){let x=i!=null?i:jh(t.outputShape);u.texShape=x.map(b=>b*2)}if(t.outTexUsage!=null&&(u.usage=t.outTexUsage),y.sizeFromShape(a.shape)===0)return u.values=y.getTypedArrayFromDType(a.dtype,0),a;let l=[],c=e.map(x=>{if(x.dtype===\"complex64\")throw new Error(\"GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.\");let b=this.texData.get(x.dataId);if(b.texture==null){if(!t.packedInputs&&y.sizeFromShape(x.shape)<=z().getNumber(\"WEBGL_SIZE_UPLOAD_UNIFORM\"))return{shape:x.shape,texData:null,isUniform:!0,uniformValues:b.values};t.packedInputs&&(b.isPacked=!0,b.shape=x.shape)}if(this.uploadToGPU(x.dataId),!!b.isPacked!=!!t.packedInputs)x=b.isPacked?this.unpackTensor(x):this.packTensor(x),l.push(x),b=this.texData.get(x.dataId);else if(b.isPacked&&!Eu(b.shape,x.shape)){let w=x,C=x.shape;x.shape=b.shape,x=this.packedReshape(x,C),l.push(x),b=this.texData.get(x.dataId),w.shape=C}return{shape:x.shape,texData:b,isUniform:!1}});this.uploadToGPU(a.dataId);let p={shape:a.shape,texData:u,isUniform:!1},m=uL(t,c,p),f=this.getAndSaveBinary(m,()=>aL(this.gpgpu,t,c,p)),d=this.activeTimers!=null,h;d&&(h=this.startTimer()),z().get(\"ENGINE_COMPILE_ONLY\")||lL(this.gpgpu,f,c,p,o),l.forEach(x=>this.disposeIntermediateTensorInfo(x)),d&&(h=this.endTimer(h),this.activeTimers.push({name:t.constructor.name,query:this.getQueryTime(h)}));let g=z().get(\"WEBGL_FLUSH_THRESHOLD\");if(g>0){let x=y.now();x-this.lastGlFlushTime>g&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=x)}if(!z().getBool(\"WEBGL_LAZILY_UNPACK\")&&u.isPacked&&s===!1){let x=this.unpackTensor(a);return this.disposeIntermediateTensorInfo(a),x}return a}compileAndRun(t,e,n,o,s=!1){return n=n||e[0].dtype,this.runWebGLProgram(t,e,n,o,s)}getAndSaveBinary(t,e){return t in this.binaryCache||(this.binaryCache[t]=e()),this.binaryCache[t]}getTextureManager(){return this.textureManager}dispose(){this.disposed||(z().getBool(\"IS_TEST\")||Object.keys(this.binaryCache).forEach(e=>{this.gpgpu.deleteProgram(this.binaryCache[e].webGLProgram),delete this.binaryCache[e]}),this.textureManager.dispose(),this.canvas!=null&&typeof HTMLCanvasElement!=\"undefined\"&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0)}floatPrecision(){return this.floatPrecisionValue==null&&(this.floatPrecisionValue=B(()=>{if(!z().get(\"WEBGL_RENDER_FLOAT32_ENABLED\")){let t=z().getBool(\"DEBUG\");z().set(\"DEBUG\",!1);let e=this.abs(mt(1e-8)).dataSync()[0];if(z().set(\"DEBUG\",t),e>0)return 32}return 16})),this.floatPrecisionValue}epsilon(){return this.floatPrecision()===32?aet:uet}uploadToGPU(t){let e=this.texData.get(t),{shape:n,dtype:o,values:s,texture:i,usage:a,isPacked:u}=e;if(i!=null)return;let l=this.activeTimers!=null,c;l&&(c=y.now());let p=e.texShape;if(p==null&&(p=PT(n,u),e.texShape=p),s!=null){let m=fd(n),f,d=p[1],h=p[0],g=s instanceof Uint8Array||s instanceof Uint8ClampedArray;(u||!g)&&([d,h]=Xi(p[0],p[1])),u?f=new $w(m,g):f=new Jh(m,g);let x=g?[h,d]:p,b=this.makeTensorInfo(x,o),w=this.texData.get(b.dataId);g?w.usage=jr.PIXELS:w.usage=jr.UPLOAD,w.texShape=x,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(b.dataId),d,h,s);let C=[[h,d]],N=!0,_=this.runWebGLProgram(f,[b],o,C,N),A=this.texData.get(_.dataId);e.texShape=A.texShape,e.isPacked=A.isPacked,e.usage=A.usage,z().get(\"ENGINE_COMPILE_ONLY\")?this.disposeData(_.dataId):(e.texture=A.texture,e.values=null,this.texData.delete(_.dataId)),this.disposeIntermediateTensorInfo(b),l&&(this.uploadWaitMs+=y.now()-c)}else{let m=this.acquireTexture(p,a,o,u);e.texture=m}}convertAndCacheOnCPU(t,e){let n=this.texData.get(t),{dtype:o}=n;return this.releaseGPUData(t),e!=null&&(n.values=det(e,o)),n.values}acquireTexture(t,e,n,o){if(this.numBytesInGPU+=this.computeBytes(t,n),!this.warnedAboutMemory&&this.numBytesInGPU>this.numMBBeforeWarning*1024*1024){let s=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn(`High memory usage in GPU: ${s} MB, most likely due to a memory leak`)}return this.textureManager.acquireTexture(t,e,o)}computeBytes(t,e){return t[0]*t[1]*y.bytesPerElement(e)}checkCompileCompletion(){for(let[,t]of Object.entries(this.binaryCache))this.checkCompletion_(t)}async checkCompileCompletionAsync(){let t=[];if(this.gpgpu.parallelCompilationExtension){for(let[,e]of Object.entries(this.binaryCache))t.push(this.checkCompletionAsync_(e));return Promise.all(t)}else{for(let[,e]of Object.entries(this.binaryCache)){let n=new Promise(o=>{try{this.checkCompletion_(e),o(!0)}catch(s){throw s}});t.push(n)}return Promise.all(t)}}async checkCompletionAsync_(t){return this.gpgpu.gl.getProgramParameter(t.webGLProgram,this.gpgpu.parallelCompilationExtension.COMPLETION_STATUS_KHR)?this.checkCompletion_(t):(await gh(),this.checkCompletionAsync_(t))}checkCompletion_(t){if(this.gpgpu.gl.getProgramParameter(t.webGLProgram,this.gpgpu.gl.LINK_STATUS)===!1)throw console.log(this.gpgpu.gl.getProgramInfoLog(t.webGLProgram)),this.gpgpu.gl.getShaderParameter(t.fragmentShader,this.gpgpu.gl.COMPILE_STATUS)===!1?(Cw(t.source,this.gpgpu.gl.getShaderInfoLog(t.fragmentShader)),new Error(\"Failed to compile fragment shader.\")):new Error(\"Failed to link vertex and fragment shaders.\");return!0}getUniformLocations(){for(let[,t]of Object.entries(this.binaryCache)){let{uniformLocations:e,customUniformLocations:n,infLoc:o,nanLoc:s,inShapesLocations:i,inTexShapesLocations:a,outShapeLocation:u,outShapeStridesLocation:l,outTexShapeLocation:c}=WT(this.gpgpu,t.program,t.webGLProgram);t.uniformLocations=e,t.customUniformLocations=n,t.infLoc=o,t.nanLoc=s,t.inShapesLocations=i,t.inTexShapesLocations=a,t.outShapeLocation=u,t.outShapeStridesLocation=l,t.outTexShapeLocation=c}}createTensorFromTexture(t,e,n){let{texture:o,height:s,width:i,channels:a}=t,u=Pn().backend;if(!u.gpgpu.gl.isTexture(o))throw new Error(\"The texture is invalid. Also, please make sure the texture and the TFJS WebGL backend are using the same canvas. If you want to use your own custom canvas, you have to create and use the custom TFJS WebGL backend created from the canvas through 'new tf.MathBackendWebGL(customCanvas)'.\");let l=u.writeTexture(o,e,n,s,i,a);return Pn().makeTensorFromDataId(l,e,n,u)}};_u.nextDataId=0;function det(r,t){if(t===\"float32\"||t===\"complex64\")return r;if(t===\"int32\"||t===\"bool\"){let e=t===\"int32\"?new Int32Array(r.length):new Uint8Array(r.length);for(let n=0;nnew _u,2);var t1e={forceHalfFloat:hM};var Sd=`\n if (isnan(a)) return a;\n if (isnan(b)) return b;\n`;var io=class{constructor(t,e,n){this.variableNames=[\"A\",\"B\"],this.outputShape=v.assertAndGetBroadcastShape(e,n),this.enableShapeUniforms=we(this.outputShape.length),this.userCode=`\n float binaryOperation(float a, float b) {\n ${t}\n }\n\n void main() {\n float a = getAAtOutCoords();\n float b = getBAtOutCoords();\n setOutput(binaryOperation(a, b));\n }\n `}};var Yi=`\n result.r = isNaN.r ? NAN : result.r;\n result.g = isNaN.g ? NAN : result.g;\n result.b = isNaN.b ? NAN : result.b;\n result.a = isNaN.a ? NAN : result.a;\n`;var Oo=class{constructor(t,e,n,o=!1){this.variableNames=[\"A\",\"B\"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=v.assertAndGetBroadcastShape(e,n);let s=this.outputShape.length;this.enableShapeUniforms=we(s);let i=\"\";if(o)if(s===0||y.sizeFromShape(this.outputShape)===1)i=`\n result.y = 0.;\n result.z = 0.;\n result.w = 0.;\n `;else if(i=`\n ${zt(s)} coords = getOutputCoords();\n `,s===1)this.enableShapeUniforms?i+=`\n result.y = (coords + 1) >= outShape ? 0. : result.y;\n result.z = 0.;\n result.w = 0.;\n `:i+=`\n result.y = (coords + 1) >= ${this.outputShape[0]} ? 0. : result.y;\n result.z = 0.;\n result.w = 0.;\n `;else{let u=Qe(\"coords\",s);this.enableShapeUniforms?i+=`\n bool nextRowOutOfBounds =\n (${u[s-2]} + 1) >= outShape[${s} - 2];\n bool nextColOutOfBounds =\n (${u[s-1]} + 1) >= outShape[${s} - 1];\n result.y = nextColOutOfBounds ? 0. : result.y;\n result.z = nextRowOutOfBounds ? 0. : result.z;\n result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n `:i+=`\n bool nextRowOutOfBounds =\n (${u[s-2]} + 1) >= ${this.outputShape[s-2]};\n bool nextColOutOfBounds =\n (${u[s-1]} + 1) >= ${this.outputShape[s-1]};\n result.y = nextColOutOfBounds ? 0. : result.y;\n result.z = nextRowOutOfBounds ? 0. : result.z;\n result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n `}this.userCode=`\n vec4 binaryOperation(vec4 a, vec4 b) {\n ${t}\n }\n\n void main() {\n vec4 a = getAAtOutCoords();\n vec4 b = getBAtOutCoords();\n\n vec4 result = binaryOperation(a, b);\n ${i}\n\n setOutput(result);\n }\n `}};function tr(r){let{inputs:t,backend:e}=r,{x:n}=t;return e.incRef(n.dataId),{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}var gM={kernelName:co,backendName:\"webgl\",kernelFunc:tr};function En(r){let{inputs:t,backend:e}=r,{real:n,imag:o}=t,s=e.makeTensorInfo(n.shape,\"complex64\"),i=e.texData.get(s.dataId),a=tr({inputs:{x:n},backend:e}),u=tr({inputs:{x:o},backend:e});return i.complexTensorInfos={real:a,imag:u},s}var xM={kernelName:pp,backendName:\"webgl\",kernelFunc:En};var uk=\"return (a < 0.) ? b * a : a;\",ck=`\n vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n`;function het(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{alpha:s}=n,i=e.makeTensorInfo([],\"float32\",y.createScalarValue(s,\"float32\")),a=z().getBool(\"WEBGL_PACK_BINARY_OPERATIONS\")?new Oo(ck,o.shape,i.shape):new io(uk,o.shape,i.shape),u=e.runWebGLProgram(a,[o,i],\"float32\");return e.disposeIntermediateTensorInfo(i),u}var yM={kernelName:is,backendName:\"webgl\",kernelFunc:het};var pk=\"return (a < 0.) ? b * a : a;\",mk=`\n vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n`;function get(r){let{inputs:t,backend:e}=r,{x:n,alpha:o}=t,s=z().getBool(\"WEBGL_PACK_BINARY_OPERATIONS\")?new Oo(mk,n.shape,o.shape):new io(pk,n.shape,o.shape);return e.runWebGLProgram(s,[n,o],\"float32\")}var bM={kernelName:bs,backendName:\"webgl\",kernelFunc:get};var Po=\"if (isnan(x)) return x;\";function Ct({opSnippet:r,packedOpSnippet:t,cpuKernelImpl:e,dtype:n}){return({inputs:o,backend:s})=>{let{x:i}=o,a=s,u=n||i.dtype;if(a.shouldExecuteOnCPU([i])&&e!=null){let p=a.texData.get(i.dataId),m=e(p.values,u);return a.makeTensorInfo(i.shape,u,m)}let l=z().getBool(\"WEBGL_PACK_UNARY_OPERATIONS\")&&t!=null,c;return l?c=new so(i.shape,t):c=new tn(i.shape,r),a.runWebGLProgram(c,[i],u)}}function le({opSnippet:r,packedOpSnippet:t,checkOutOfBounds:e=!1,supportsComplex:n=!1,cpuKernelImpl:o,dtype:s}){return({inputs:i,backend:a})=>{let{a:u,b:l}=i,c=a;if(n&&u.dtype===\"complex64\"){let d=c.texData.get(u.dataId),h=c.texData.get(l.dataId),[g,x]=[[d.complexTensorInfos.real,h.complexTensorInfos.real],[d.complexTensorInfos.imag,h.complexTensorInfos.imag]].map(w=>{let[C,N]=w,_={dataId:C.dataId,dtype:C.dtype,shape:u.shape},A={dataId:N.dataId,dtype:N.dtype,shape:l.shape},$=new io(r,u.shape,l.shape);return c.runWebGLProgram($,[_,A],sr(C.dtype,N.dtype))}),b=En({inputs:{real:g,imag:x},backend:c});return c.disposeIntermediateTensorInfo(g),c.disposeIntermediateTensorInfo(x),b}let p=s||sr(u.dtype,l.dtype);if((u.dtype===\"string\"||l.dtype===\"string\"||c.shouldExecuteOnCPU([u,l]))&&o!=null){let d=c.texData.get(u.dataId).values,h=c.texData.get(l.dataId).values,g=u.dtype===\"string\"?v.fromUint8ToStringArray(d):d,x=u.dtype===\"string\"?v.fromUint8ToStringArray(h):h,[b,w]=o(u.shape,l.shape,g,x,p),C=c.makeTensorInfo(w,p),N=c.texData.get(C.dataId);return N.values=b,C}let m=z().getBool(\"WEBGL_PACK_BINARY_OPERATIONS\")&&t!=null,f;return m?f=new Oo(t,u.shape,l.shape,e):f=new io(r,u.shape,l.shape),c.runWebGLProgram(f,[u,l],p)}}function bl(r,t=!1){if(r===\"linear\")return t?uM:nM;if(r===\"relu\")return t?pM:sM;if(r===\"elu\")return t?cM:oM;if(r===\"relu6\")return t?mM:iM;if(r===\"prelu\")return t?mk:pk;if(r===\"leakyrelu\")return t?ck:uk;if(r===\"sigmoid\")return t?fM:aM;throw new Error(`Activation ${r} has not been implemented for the WebGL backend.`)}var vd=class{constructor(t,e,n,o=!1,s=!1,i=!1,a=null,u=!1,l=!1){this.variableNames=[\"matrixA\",\"matrixB\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n,this.enableShapeUniforms=we(this.outputShape.length);let c=o?t[1]:t[2],p=Math.ceil(c/2),m=o?\"i * 2, rc.y\":\"rc.y, i * 2\",f=s?\"rc.z, i * 2\":\"i * 2, rc.z\",d=o?[\"a.xxyy\",\"a.zzww\"]:[\"a.xxzz\",\"a.yyww\"],h=s?[\"b.xzxz\",\"b.ywyw\"]:[\"b.xyxy\",\"b.zwzw\"],g=\"\",x=\"\";a&&(u?g=`vec4 activation(vec4 a) {\n vec4 b = getPreluActivationWeightsAtOutCoords();\n ${a}\n }`:l?g=`vec4 activation(vec4 a) {\n vec4 b = getLeakyreluAlphaAtOutCoords();\n ${a}\n }`:g=`vec4 activation(vec4 x) {\n ${a}\n }`,x=\"result = activation(result);\");let b=i?\"result += getBiasAtOutCoords();\":\"\";i&&this.variableNames.push(\"bias\"),u&&this.variableNames.push(\"preluActivationWeights\"),l&&this.variableNames.push(\"leakyreluAlpha\");let w=\"rc.x\",C=\"rc.x\";t[0]`The new shape (${u}) has ${l} elements and the old shape (${o.shape}) has ${a} elements. The new shape and old shape must have the same number of elements.`);let c=i.texData.get(o.dataId);return c.isPacked&&!Eu(o.shape,u)&&!(c.texture!==null&&Eu(c.shape,u))?IM(o,u,i):(i.incRef(o.dataId),{dataId:o.dataId,shape:u,dtype:o.dtype})}var SM={kernelName:di,backendName:\"webgl\",kernelFunc:st};var rg=class{constructor(t,e){this.variableNames=[\"x\"];let{windowSize:n,batchSize:o,inSize:s,outSize:i}=t;this.outputShape=[o,i];let a=Math.floor(n/4)*4,u=n%4,l=\"sumValue += dot(values, ones);\";if(e!=null){let p=1/e;l=`sumValue += dot(values * ${y.isInt(p)?p.toPrecision(2):p}, ones);`}let c=\"\";s%n>0&&(c=`\n if (inIdx < 0 || inIdx >= ${s}) {\n return 0.0;\n }\n `),this.userCode=`\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float getValue(int batch, int inIdx) {\n ${c}\n return getX(batch, inIdx);\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * ${n};\n\n float sumValue = 0.0;\n\n for (int i = 0; i < ${a}; i += 4) {\n int inIdx = inOffset + i;\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n getValue(batch, inIdx + 3)\n );\n\n ${l}\n }\n\n int inIdx = inOffset + ${a};\n if (${u===1}) {\n vec4 values = vec4(getValue(batch, inIdx), 0.0, 0.0, 0.0);\n\n ${l}\n } else if (${u===2}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1), 0.0, 0.0);\n\n ${l}\n } else if (${u===3}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2), 0.0);\n\n ${l}\n }\n setOutput(sumValue);\n }\n `}};var Uw=class{constructor(t,e){this.variableNames=[\"x\"];let{windowSize:n,batchSize:o,inSize:s,outSize:i}=t;this.outputShape=[o,i];let a=\"0.0\",u=\"\";e===\"prod\"?a=\"1.0\":e===\"min\"?(a=\"1.0 / 1e-20\",u=\"min\"):e===\"max\"&&(a=\"-1.0 / 1e-20\",u=\"max\");let l=`${e}(${e}(${e}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;e===\"sum\"?l=\"sumValue\":e===\"prod\"?l=\"prodValue\":e===\"all\"?l=\"allValue\":e===\"any\"&&(l=\"anyValue\");let c=Math.floor(n/4)*4,p=n%4,m=`\n if (${e===\"sum\"}) {\n sumValue += dot(values, ones);\n } else if (${e===\"prod\"}) {\n vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n prodValue *= tmp[0] * tmp[1];\n } else {\n minMaxValue = ${u}(values, minMaxValue);\n if (${e===\"min\"} || ${e===\"max\"}) {\n minMaxValue = ${u}(values, minMaxValue);\n bvec4 isNaN = isnan(values);\n if (isNaN.r || isNaN.g || isNaN.b || isNaN.a) {\n minMaxValue = vec4(NAN);\n }\n }\n }\n `,f=\"vec4\";e===\"all\"?(a=\"1.0\",m=`\n bool reducedAllValue = all(values);\n float floatedReducedAllValue = float(reducedAllValue);\n allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n `,f=\"bvec4\"):e===\"any\"&&(a=\"0.0\",m=`\n bool reducedAnyValue = any(values);\n float floatedReducedAnyValue = float(reducedAnyValue);\n anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n `,f=\"bvec4\");let d=\"\";s%n>0&&(d=`\n if (inIdx < 0 || inIdx >= ${s}) {\n return initializationValue;\n }\n `),this.userCode=`\n const float initializationValue = ${a};\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float getValue(int batch, int inIdx) {\n ${d}\n return getX(batch, inIdx);\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * ${n};\n\n vec4 minMaxValue = vec4(${a});\n float prodValue = 1.0;\n float sumValue = 0.0;\n float allValue = 1.0;\n float anyValue = 0.0;\n\n for (int i = 0; i < ${c}; i += 4) {\n int inIdx = inOffset + i;\n ${f} values = ${f}(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n getValue(batch, inIdx + 3)\n );\n\n ${m}\n }\n\n int inIdx = inOffset + ${c};\n if (${p===1}) {\n ${f} values = ${f}(\n getValue(batch, inIdx),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ${m}\n } else if (${p===2}) {\n ${f} values = ${f}(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n initializationValue,\n initializationValue\n );\n\n ${m}\n } else if (${p===3}) {\n ${f} values = ${f}(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n initializationValue\n );\n\n ${m}\n }\n setOutput(${l});\n }\n `}};function yet(r){let t=[];for(;t.length===0||t[t.length-1].outSize!==1;){let e=t.length?t[t.length-1].outSize:r[1],n=v.computeOptimalWindowSize(e);t.push({inSize:e,windowSize:n,outSize:Math.ceil(e/n)})}return t}function Un(r,t,e,n){let o=yet(r.shape),s=r;for(let i=0;i6)throw Error(`Transpose for rank ${t} is not yet supported`);let e=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\",\"resRC.u\",\"resRC.v\"],n=new Array(t);for(let o=0;o6)throw Error(`Packed transpose for rank ${this.rank} is not yet supported.`);let o=zt(this.rank),s=ak(\"rc\",this.rank),i=new Array(this.rank);for(let c=0;c`Error in matMul: inner shapes (${p}) and (${m}) of Tensors with shapes ${r.shape} and ${t.shape} and transposeA=${e} and transposeB=${n} must match.`);let N=e?[x,p,f]:[x,f,p],_=n?[b,d,m]:[b,m,d],A=st({inputs:{x:r},backend:o,attrs:{shape:N}}),$=st({inputs:{x:t},backend:o,attrs:{shape:_}}),F=[A,$],P=Math.max(x,b),V=e?A.shape[1]:A.shape[2],G=s!=null,W=i!=null,q=u===\"leakyrelu\",H=u!=null?bl(u,!0):null,j=G||W||q||H!=null,Y;if((f===1||d===1)&&V>dk&&j===!1){let et=A,rt=$;e&&(et=Oe({inputs:{x:A},backend:o,attrs:{perm:[0,2,1]}}),F.push(et)),n&&(rt=Oe({inputs:{x:$},backend:o,attrs:{perm:[0,2,1]}}),F.push(rt));let ot=d!==1,at=d===1,nt=et;ot&&(nt=st({inputs:{x:et},backend:o,attrs:{shape:[P,V,1]}}),F.push(nt));let it=d===1?2:1,dt=rt;at&&(dt=st({inputs:{x:rt},backend:o,attrs:{shape:[P,1,V]}}),F.push(dt));let ht=eg({inputs:{a:nt,b:dt},backend:o});Y=Wc({inputs:{x:ht},backend:o,attrs:{axis:it,keepDims:!0}}),F.push(ht)}else{let et=sr(r.dtype,t.dtype),rt=new vd(N,_,[P,f,d],e,n,G,H,W,q),ot=[A,$];if(s!=null&&ot.push(s),W&&ot.push(i),q){let at=o.makeTensorInfo([],\"float32\",y.createScalarValue(a,\"float32\"));ot.push(at),F.push(at)}Y=o.runWebGLProgram(rt,ot,et)}let Z=st({inputs:{x:Y},backend:o,attrs:{shape:C}});F.push(Y);for(let et of F)o.disposeIntermediateTensorInfo(et);return Z}function wet(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s,bias:i,preluActivationWeights:a}=t,{transposeA:u,transposeB:l,activation:c,leakyreluAlpha:p}=n;return Uc({a:o,b:s,transposeA:u,transposeB:l,backend:e,bias:i,preluActivationWeights:a,leakyreluAlpha:p,activation:c})}var kM={kernelName:Ci,backendName:\"webgl\",kernelFunc:wet};var EM=\"return abs(x);\";function Cet(r){let{inputs:t,backend:e}=r,{x:n}=t;if(e.shouldExecuteOnCPU([n])&&n.dtype!==\"complex64\"){let s=e.texData.get(n.dataId),i=Mw(s.values);return e.makeTensorInfo(n.shape,n.dtype,i)}let o;return z().getBool(\"WEBGL_PACK_UNARY_OPERATIONS\")?o=new so(n.shape,EM):o=new tn(n.shape,EM),e.runWebGLProgram(o,[n],n.dtype)}var _M={kernelName:ii,backendName:\"webgl\",kernelFunc:Cet};var Iet=fr+`\n if (abs(x) > 1.) {\n return NAN;\n }\n return acos(x);\n`,vet=Ct({opSnippet:Iet}),AM={kernelName:oa,backendName:\"webgl\",kernelFunc:vet};var Net=fr+`\n if (x < 1.0) return NAN;\nreturn log(x + sqrt(x * x - 1.0));`,Tet=Ct({opSnippet:Net}),$M={kernelName:sa,backendName:\"webgl\",kernelFunc:Tet};var DM=\"return a + b;\",ket=le({opSnippet:DM,packedOpSnippet:DM,supportsComplex:!0,cpuKernelImpl:cL}),RM={kernelName:Zn,backendName:\"webgl\",kernelFunc:ket};var Kw=class{constructor(t,e){this.outputShape=[],this.outputShape=t,this.variableNames=e.map((s,i)=>`T${i}`);let n=[];this.variableNames.forEach(s=>{n.push(`float v${s} = get${s}AtOutCoords();`)});let o=this.variableNames.map(s=>`v${s}`).join(\" + \");this.userCode=`\n void main() {\n ${n.join(`\n `)}\n\n float result = ${o};\n setOutput(result);\n }\n `}};var jw=class{constructor(t,e){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.variableNames=e.map((s,i)=>`T${i}`);let n=[];this.variableNames.forEach(s=>{n.push(`vec4 v${s} = get${s}AtOutCoords();`)});let o=this.variableNames.map(s=>`v${s}`).join(\" + \");this.userCode=`\n void main() {\n ${n.join(`\n `)}\n\n vec4 result = ${o};\n setOutput(result);\n }\n `}};function Xw(r){let{inputs:t,backend:e}=r,n=t;if(n.length===1)return tr({inputs:{x:n[0]},backend:e});if(n.length>z().get(\"WEBGL_MAX_TEXTURES_IN_SHADER\")){let u=Math.floor(n.length/2),l=Xw({inputs:n.slice(0,u),backend:e}),c=Xw({inputs:n.slice(u),backend:e});return Xw({inputs:[l,c],backend:e})}let o=n.map(u=>u.dtype).reduce((u,l)=>sr(u,l)),s=n.map(u=>u.shape),a=z().getBool(\"WEBGL_PACK\")?new jw(n[0].shape,s):new Kw(n[0].shape,s);return e.runWebGLProgram(a,n,o)}var FM={kernelName:Go,backendName:\"webgl\",kernelFunc:Xw};function Eet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=y.parseAxisParam(s,o.shape),l=u,c=v.getAxesPermutation(l,a),p=o;c!=null&&(p=Oe({inputs:{x:o},backend:e,attrs:{perm:c}}),l=v.getInnerMostAxes(l.length,a)),v.assertAxesAreInnerMostDims(\"all\",l,a);let[m,f]=v.computeOutAndReduceShapes(p.shape,l),d=y.sizeFromShape(f),h=st({inputs:{x:p},backend:e,attrs:{shape:[-1,d]}}),g=Un(h,h.dtype,\"all\",e),x;if(i){let b=v.expandShapeToKeepDim(m,u);x=st({inputs:{x:g},backend:e,attrs:{shape:b}})}else x=st({inputs:{x:g},backend:e,attrs:{shape:m}});return e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(g),c!=null&&e.disposeIntermediateTensorInfo(p),x}var OM={kernelName:ia,backendName:\"webgl\",kernelFunc:Eet};function _et(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=y.parseAxisParam(s,o.shape),l=u,c=v.getAxesPermutation(l,a),p=o;c!=null&&(p=Oe({inputs:{x:o},backend:e,attrs:{perm:c}}),l=v.getInnerMostAxes(l.length,a)),v.assertAxesAreInnerMostDims(\"any\",l,a);let[m,f]=v.computeOutAndReduceShapes(p.shape,l),d=y.sizeFromShape(f),h=st({inputs:{x:p},backend:e,attrs:{shape:[-1,d]}}),g=Un(h,h.dtype,\"any\",e),x;if(i){let b=v.expandShapeToKeepDim(m,u);x=st({inputs:{x:g},backend:e,attrs:{shape:b}})}else x=st({inputs:{x:g},backend:e,attrs:{shape:m}});return e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(g),c!=null&&e.disposeIntermediateTensorInfo(p),x}var PM={kernelName:aa,backendName:\"webgl\",kernelFunc:_et};var Yw=class{constructor(t,e,n){this.variableNames=[\"A\"];let{windowSize:o,batchSize:s,outSize:i}=t;n||this.variableNames.push(\"bestIndicesA\"),this.outputShape=[s,i];let a=e===\"max\"?\">\":\"<\",u=n?\"inOffset + i;\":\"round(getBestIndicesA(batch, inOffset + i));\";this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * ${o};\n\n int bestIndex = inOffset;\n float bestValue = getA(batch, bestIndex);\n\n for (int i = 0; i < ${o}; i++) {\n int inIdx = ${u};\n float candidate = getA(batch, inIdx);\n if (candidate ${a} bestValue) {\n bestValue = candidate;\n bestIndex = inIdx;\n }\n }\n setOutput(float(bestIndex));\n }\n `}};var Zw=class{constructor(t,e,n,o){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,y.assert(t.length>2,()=>`Packed arg${n.charAt(0).toUpperCase()+n.slice(1)} supports only inputs with rank above 2.`);let s=t[t.length-1],i=Math.ceil(s/e);this.outputShape=t.slice(0,-1),i>1&&this.outputShape.push(i),o||this.variableNames.push(\"bestIndicesA\");let a=this.outputShape,u=a.length,l=zt(u),c=Qe(\"coords\",u),p,m;if(i===1){m=u+1;let $=zt(m);p=`\n ${$} sourceLocR = ${$}(${c.join()}, 0);\n ++${c[u-1]};\n ${$} sourceLocG = ${$}(${c.join()}, 0);\n ++${c[u-2]};\n ${$} sourceLocA = ${$}(${c.join()}, 0);\n --${c[u-1]};\n ${$} sourceLocB = ${$}(${c.join()}, 0);\n --${c[u-2]};`}else m=u,p=`\n ${l} sourceLocR = coords;\n ++${c[u-1]};\n ${l} sourceLocG = coords;\n ++${c[u-2]};\n ${l} sourceLocA = coords;\n --${c[u-1]};\n ${l} sourceLocB = coords;\n --${c[u-2]};`;let f=[\"x\",\"y\",\"z\",\"w\",\"u\",\"v\"].slice(0,m),d=\".\"+f[m-1],h=f.map($=>\"int \"+$),g=Qe(\"sourceLocR\",m-1).concat(\"inIdx.r\"),x=Qe(\"sourceLocG\",m-1).concat(\"inIdx.g\"),b=Qe(\"sourceLocB\",m-1).concat(\"inIdx.b\"),w=Qe(\"sourceLocA\",m-1).concat(\"inIdx.a\"),C=n===\"max\"?\"greaterThan\":\"lessThan\",N=o?\"\":`\n inIdx = round(vec4(getBestIndicesAChannel(${g.join()}),\n getBestIndicesAChannel(${x.join()}),\n getBestIndicesAChannel(${b.join()}),\n getBestIndicesAChannel(${w.join()})));`,_=`vec4(\n getAChannel(${g.join()}),\n hasNextCol ? getAChannel(${x.join()}) : 0.,\n hasNextRow ? getAChannel(${b.join()}) : 0.,\n hasNextRow && hasNextCol ? getAChannel(${w.join()}) : 0.)`,A=o?\"\":`\n float getBestIndicesAChannel(${h.join()}) {\n return getChannel(getBestIndicesA(${f.join()}),\n vec2(${f.slice(-2).join()}));\n }`;this.userCode=`\n float getAChannel(${h.join()}) {\n return getChannel(getA(${f.join()}),\n vec2(${f.slice(-2).join()}));\n }\n ${A}\n void main() {\n ${l} coords = getOutputCoords();\n bool hasNextCol = ${c[u-1]} < ${a[u-1]-1};\n bool hasNextRow = ${c[u-2]} < ${a[u-2]-1};\n ${p}\n ivec4 srcIdx = ivec4(sourceLocR${d}, sourceLocG${d},\n sourceLocB${d}, sourceLocA${d}) * ${e};\n ivec4 inIdx = srcIdx;\n vec4 bestIndex = vec4(inIdx);\n vec4 bestValue = ${_};\n\n for (int i = 0; i < ${e}; i++) {\n inIdx = srcIdx;\n ${N}\n vec4 candidate = ${_};\n bvec4 nan = isnan(candidate);\n bvec4 replace = bvec4(\n vec4(${C}(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n bestValue = vec4(replace.x ? candidate.x : bestValue.x,\n replace.y ? candidate.y : bestValue.y,\n replace.z ? candidate.z : bestValue.z,\n replace.w ? candidate.w : bestValue.w);\n bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n srcIdx++;\n }\n setOutput(bestIndex);\n }\n `}};function LM(r,t,e,n=null){let o=t.shape[0],s=t.shape[1];n!=null&&(o=n.shape[0],s=n.shape[1]);let i=v.computeOptimalWindowSize(s),a={windowSize:i,inSize:s,batchSize:o,outSize:Math.ceil(s/i)},u=new Yw(a,e,n==null),l=[t];n!=null&&l.push(n);let c=r.runWebGLProgram(u,l,\"int32\");if(c.shape[1]===1)return c;let p=LM(r,t,e,c);return r.disposeIntermediateTensorInfo(c),p}function MM(r,t,e,n=null){let o=n!=null?n.shape:t.shape,s=o[o.length-1],i=v.computeOptimalWindowSize(s),a=new Zw(o,i,e,n==null),u=n==null?[t]:[t,n],l=r.runWebGLProgram(a,u,\"int32\");if(l.shape.length===t.shape.length){let c=MM(r,t,e,l);return r.disposeIntermediateTensorInfo(l),c}return l}function Jw(r,t,e,n){let o=[e];if(v.assertAxesAreInnerMostDims(\"arg\"+n.charAt(0).toUpperCase()+n.slice(1),o,t.shape.length),!z().getBool(\"WEBGL_PACK_REDUCE\")||t.shape.length<=2){let s=[],i=r.texData.get(t.dataId),a=i!==null&&i.isPacked,u=t;a&&(u=r.unpackTensor(t),s.push(u));let[l,c]=v.computeOutAndReduceShapes(u.shape,o),p=y.sizeFromShape(c),m=st({inputs:{x:u},backend:r,attrs:{shape:[-1,p]}});s.push(m);let f=LM(r,m,n);s.push(f);let d=st({inputs:{x:f},backend:r,attrs:{shape:l}});return s.forEach(h=>r.disposeIntermediateTensorInfo(h)),d}return MM(r,t,n)}function Aet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s}=n,i=y.parseAxisParam(s,o.shape),a=v.getAxesPermutation(i,o.shape.length),u=o,l=[];a!=null&&(u=Oe({inputs:{x:o},backend:e,attrs:{perm:a}}),l.push(u),i=v.getInnerMostAxes(i.length,u.shape.length)),v.assertAxesAreInnerMostDims(\"argMax\",[i[0]],u.shape.length);let c=Jw(e,u,i[0],\"max\");return l.forEach(p=>e.disposeIntermediateTensorInfo(p)),c}var zM={kernelName:Wo,backendName:\"webgl\",kernelFunc:Aet};function $et(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s}=n,i=y.parseAxisParam(s,o.shape),a=v.getAxesPermutation(i,o.shape.length),u=o,l=[];a!=null&&(u=Oe({inputs:{x:o},backend:e,attrs:{perm:a}}),l.push(u),i=v.getInnerMostAxes(i.length,u.shape.length)),v.assertAxesAreInnerMostDims(\"argMin\",[i[0]],u.shape.length);let c=Jw(e,u,i[0],\"min\");return l.forEach(p=>e.disposeIntermediateTensorInfo(p)),c}var BM={kernelName:kl,backendName:\"webgl\",kernelFunc:$et};var Det=fr+`\n if (abs(x) > 1.) {\n return NAN;\n }\n return asin(x);\n`,Ret=Ct({opSnippet:Det}),VM={kernelName:la,backendName:\"webgl\",kernelFunc:Ret};var Fet=fr+\"return log(x + sqrt(x * x + 1.0));\",Oet=Ct({opSnippet:Fet}),GM={kernelName:ua,backendName:\"webgl\",kernelFunc:Oet};var Pet=fr+`\n return atan(x);\n`,Let=Ct({opSnippet:Pet}),WM={kernelName:ca,backendName:\"webgl\",kernelFunc:Let};var Met=Sd+`\n return atan(a, b);\n`,zet=`\n vec4 result = atan(a, b);\n bvec4 isNaNA = isnan(a);\n bvec4 isNaNB = isnan(b);\n bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w);\n `+Yi+`\n return result;\n`,Bet=le({opSnippet:Met,packedOpSnippet:zet}),UM={kernelName:ma,backendName:\"webgl\",kernelFunc:Bet};var Vet=fr+`\n if ((x < -1.0) || (x > 1.0)) return NAN;\nreturn (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Get=Ct({opSnippet:Vet}),HM={kernelName:pa,backendName:\"webgl\",kernelFunc:Get};var ei=class{constructor(t,e,n,o=!1,s=!1){if(this.variableNames=[\"x\"],e===\"avg\"&&n)throw new Error(\"Cannot compute positions for average pool.\");let i=t.filterWidth,a=t.strideHeight,u=t.strideWidth,l=t.dilationHeight,c=t.dilationWidth,p=t.effectiveFilterHeight,m=t.effectiveFilterWidth,f=t.padInfo.top,d=t.padInfo.left;this.outputShape=t.outShape;let h=e===\"avg\",g=`((batch * ${t.inHeight} + xR) * ${t.inWidth} + xC) * ${t.inChannels} + d`,x=`(xR * ${t.inWidth} + xC) * ${t.inChannels} + d`,b=\"0.0\";if(h||(b=\"-1.0 / 1e-20\"),n){let $=\">=\";this.userCode=`\n const ivec2 strides = ivec2(${a}, ${u});\n const ivec2 pads = ivec2(${f}, ${d});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d = coords[3];\n\n ivec2 xRCCorner = coords.yz * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // max/min x(?, ?, d) to get y(yR, yC, d).\n // ? = to be determined\n float minMaxValue = 0.0;\n float minMaxValueFound = 0.0;\n int minMaxPosition = 0;\n float avgValue = 0.0;\n\n for (int wR = 0; wR < ${p};\n wR += ${l}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${m};\n wC += ${c}) {\n int xC = xCCorner + wC;\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n float value = getX(batch, xR, xC, d);\n\n // If a min / max value has already been found, use it. If not,\n // use the current value.\n float currMinMaxValue = mix(\n value, minMaxValue, minMaxValueFound);\n if (value ${$} currMinMaxValue) {\n minMaxValue = value;\n minMaxValueFound = 1.0;\n minMaxPosition = ${o?s?g:x:`wR * ${m} + wC`};\n }\n }\n }\n setOutput(float(minMaxPosition));\n }\n `;return}let w=\"max\",C=`${e}(${e}(${e}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;e===\"avg\"&&(C=\"avgValue / count\");let N=Math.floor(i/4)*4,_=i%4,A=`\n if (${h}) {\n avgValue += dot(values, ones);\n } else {\n minMaxValue = ${w}(values, minMaxValue);\n }\n `;this.userCode=`\n const ivec2 strides = ivec2(${a}, ${u});\n const ivec2 pads = ivec2(${f}, ${d});\n const float initializationValue = ${b};\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float count = 0.0;\n\n float getValue(int batch, int xR, int xC, int d) {\n if (xC < 0 || xC >= ${t.inWidth}) {\n return initializationValue;\n }\n count += 1.0;\n return getX(batch, xR, xC, d);\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d = coords[3];\n\n ivec2 xRCCorner = coords.yz * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // max/min x(?, ?, d) to get y(yR, yC, d).\n // ? = to be determined\n vec4 minMaxValue = vec4(${b});\n float avgValue = 0.0;\n count = 0.0;\n\n for (int wR = 0; wR < ${p};\n wR += ${l}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${N}; wC += 4) {\n int xC = xCCorner + wC * ${c};\n\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ${c}, d),\n getValue(batch, xR, xC + 2 * ${c}, d),\n getValue(batch, xR, xC + 3 * ${c}, d)\n );\n\n ${A}\n }\n\n int xC = xCCorner + ${N};\n if (${_===1}) {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ${A}\n } else if (${_===2}) {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ${c}, d),\n initializationValue,\n initializationValue\n );\n\n ${A}\n } else if (${_===3}) {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ${c}, d),\n getValue(batch, xR, xC + 2 * ${c}, d),\n initializationValue\n );\n\n ${A}\n }\n }\n setOutput(${C});\n }\n `}},$u=class{constructor(t,e,n,o=!1,s=!1){if(this.variableNames=[\"x\"],e===\"avg\"&&n)throw new Error(\"Cannot compute positions for average pool.\");let i=t.filterWidth,a=t.strideDepth,u=t.strideHeight,l=t.strideWidth,c=t.dilationDepth,p=t.dilationHeight,m=t.dilationWidth,f=t.effectiveFilterDepth,d=t.effectiveFilterHeight,h=t.effectiveFilterWidth,g=t.padInfo.front,x=t.padInfo.top,b=t.padInfo.left;this.outputShape=t.outShape;let w=e===\"avg\",C=\"0.0\";if(w||(C=\"-1.0 / 1e-20\"),n){let P=\">=\";this.userCode=`\n const ivec3 strides =\n ivec3(${a}, ${u}, ${l});\n const ivec3 pads = ivec3(${g}, ${x}, ${b});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xDCorner = xCorner.x;\n int xRCorner = xCorner.y;\n int xCCorner = xCorner.z;\n\n // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n // ? = to be determined\n float minMaxValue = 0.0;\n float minMaxValueFound = 0.0;\n int minMaxPosition = 0;\n\n for (int wD = 0; wD < ${f};\n wD += ${c}) {\n int xD = xDCorner + wD;\n\n if (xD < 0 || xD >= ${t.inDepth}) {\n continue;\n }\n\n for (int wR = 0; wR < ${d};\n wR += ${p}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${h};\n wC += ${m}) {\n int xC = xCCorner + wC;\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n float value = getX(batch, xD, xR, xC, ch);\n\n // If a min / max value has already been found, use it. If not,\n // use the current value.\n float currMinMaxValue = mix(\n value, minMaxValue, minMaxValueFound);\n if (value ${P} currMinMaxValue) {\n minMaxValue = value;\n minMaxValueFound = 1.0;\n minMaxPosition = ${o?s?`(((batch * ${t.inDepth} + xD) * ${t.inHeight} + xR) * ${t.inWidth} + xC) * ${t.inChannels} + ch`:`((xD * ${t.inHeight} + xR) * ${t.inWidth} + xC) * ${t.inChannels} + ch`:`wD * ${d} * ${h} +\n wR * ${h} + wC`};\n }\n }\n }\n }\n setOutput(float(minMaxPosition));\n }\n `;return}let N=\"max\",_=`${e}(${e}(${e}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;e===\"avg\"&&(_=\"avgValue / count\");let A=Math.floor(i/4)*4,$=i%4,F=`\n if (${w}) {\n avgValue += dot(values, ones);\n } else {\n minMaxValue = ${N}(values, minMaxValue);\n }\n `;this.userCode=`\n const ivec3 strides =\n ivec3(${a}, ${u}, ${l});\n const ivec3 pads = ivec3(${g}, ${x}, ${b});\n const float initializationValue = ${C};\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float count = 0.0;\n\n float getValue(int batch, int xD, int xR, int xC, int ch) {\n if (xC < 0 || xC >= ${t.inWidth}) {\n return initializationValue;\n }\n count += 1.0;\n return getX(batch, xD, xR, xC, ch);\n }\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xDCorner = xCorner.x;\n int xRCorner = xCorner.y;\n int xCCorner = xCorner.z;\n\n // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n // ? = to be determined\n vec4 minMaxValue = vec4(${C});\n float avgValue = 0.0;\n count = 0.0;\n\n for (int wD = 0; wD < ${f};\n wD += ${c}) {\n int xD = xDCorner + wD;\n\n if (xD < 0 || xD >= ${t.inDepth}) {\n continue;\n }\n\n for (int wR = 0; wR < ${d};\n wR += ${p}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${A}; wC += 4) {\n int xC = xCCorner + wC * ${m};\n\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ${m}, ch),\n getValue(batch, xD, xR, xC + 2 * ${m}, ch),\n getValue(batch, xD, xR, xC + 3 * ${m}, ch)\n );\n\n ${F}\n }\n\n int xC = xCCorner + ${A};\n if (${$===1}) {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ${F}\n } else if (${$===2}) {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ${m}, ch),\n initializationValue,\n initializationValue\n );\n\n ${F}\n } else if (${$===3}) {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ${m}, ch),\n getValue(batch, xD, xR, xC + 2 * ${m}, ch),\n initializationValue\n );\n\n ${F}\n }\n }\n setOutput(${_});\n }\n }\n `}};function Wet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t;Qs(o,\"avgPool\");let{filterSize:s,strides:i,pad:a,dimRoundingMode:u}=n,l=1;y.assert(v.eitherStridesOrDilationsAreOne(i,l),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);let c=v.computePool2DInfo(o.shape,s,i,l,a,u);if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))return tr({inputs:{x:o},backend:e});let p=new ei(c,\"avg\",!1);return e.runWebGLProgram(p,[o],\"float32\")}var qM={kernelName:Uo,backendName:\"webgl\",kernelFunc:Wet};function Uet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{filterSize:s,strides:i,pad:a,dimRoundingMode:u,dataFormat:l}=n,c=[1,1,1],p=v.computePool3DInfo(o.shape,s,i,c,a,u,l),m=new $u(p,\"avg\",!1);return e.runWebGLProgram(m,[o],\"float32\")}var KM={kernelName:El,backendName:\"webgl\",kernelFunc:Uet};var Qw=class{constructor(t){this.variableNames=[\"dy\"],this.outputShape=t.inShape;let e=t.filterHeight,n=t.filterWidth,o=t.strideHeight,s=t.strideWidth,i=t.dilationHeight,a=t.dilationWidth,u=t.effectiveFilterHeight,l=t.effectiveFilterWidth,c=u-1-t.padInfo.top,p=l-1-t.padInfo.left,m=1/(e*n);this.userCode=`\n const ivec2 pads = ivec2(${c}, ${p});\n const float avgMultiplier = float(${m});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n\n ivec2 dyRCCorner = coords.yz - pads;\n int dyRCorner = dyRCCorner.x;\n int dyCCorner = dyRCCorner.y;\n\n // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${u};\n wR += ${i}) {\n float dyR = float(dyRCorner + wR) / ${o}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${l};\n wC+= ${a}) {\n float dyC = float(dyCCorner + wC) / ${s}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(b, idyR, idyC, d);\n\n dotProd += dyValue * avgMultiplier;\n }\n }\n setOutput(dotProd);\n }\n `}},tC=class{constructor(t){this.variableNames=[\"dy\"],this.outputShape=t.inShape;let e=t.filterDepth,n=t.filterHeight,o=t.filterWidth,s=t.strideDepth,i=t.strideHeight,a=t.strideWidth,u=t.dilationDepth,l=t.dilationHeight,c=t.dilationWidth,p=t.effectiveFilterDepth,m=t.effectiveFilterHeight,f=t.effectiveFilterWidth,d=p-1-t.padInfo.front,h=m-1-t.padInfo.top,g=f-1-t.padInfo.left,x=1/(e*n*o);this.userCode=`\n const ivec3 pads = ivec3(${d}, ${h}, ${g});\n const float avgMultiplier = float(${x});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyDCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n // dx(xD, xR, xC, ch).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int wD = 0; wD < ${p};\n wD += ${u}) {\n float dyD = float(dyDCorner + wD) / ${s}.0;\n\n if (dyD < 0.0 || dyD >= ${t.outDepth}.0 || fract(dyD) > 0.0) {\n continue;\n }\n int idyD = int(dyD);\n\n for (int wR = 0; wR < ${m};\n wR += ${l}) {\n float dyR = float(dyRCorner + wR) / ${i}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${f};\n wC += ${c}) {\n float dyC = float(dyCCorner + wC) / ${a}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n dotProd += dyValue * avgMultiplier;\n }\n }\n }\n setOutput(dotProd);\n }\n `}};function Het(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s,{filterSize:a,strides:u,pad:l,dimRoundingMode:c}=n,p=[1,1,1],m=v.computePool3DInfo(i.shape,a,u,p,l,c),f=new tC(m);return e.runWebGLProgram(f,[o],i.dtype)}var jM={kernelName:lp,backendName:\"webgl\",kernelFunc:Het};function qet(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s;Qs([o,s],\"avgPoolGrad\");let{filterSize:a,strides:u,pad:l}=n,c=v.computePool2DInfo(i.shape,a,u,1,l),p=new Qw(c);return e.runWebGLProgram(p,[o],i.dtype)}var XM={kernelName:ap,backendName:\"webgl\",kernelFunc:qet};function Ket(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s}=t,{transposeA:i,transposeB:a}=n;return Uc({a:o,b:s,transposeA:i,transposeB:a,backend:e})}var YM={kernelName:Ho,backendName:\"webgl\",kernelFunc:Ket};var eC=class{constructor(t,e,n,o,s,i){this.outputShape=[],this.variableNames=[\"x\",\"mean\",\"variance\"],v.assertAndGetBroadcastShape(t,e),v.assertAndGetBroadcastShape(t,n);let a=\"0.0\";o!=null&&(v.assertAndGetBroadcastShape(t,o),this.variableNames.push(\"offset\"),a=\"getOffsetAtOutCoords()\");let u=\"1.0\";s!=null&&(v.assertAndGetBroadcastShape(t,s),this.variableNames.push(\"scale\"),u=\"getScaleAtOutCoords()\"),this.outputShape=t,this.userCode=`\n void main() {\n float x = getXAtOutCoords();\n float mean = getMeanAtOutCoords();\n float variance = getVarianceAtOutCoords();\n float offset = ${a};\n float scale = ${u};\n float inv = scale * inversesqrt(variance + float(${i}));\n setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n }\n `}};var rC=class{constructor(t,e,n,o,s,i){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=[\"x\",\"mean\",\"variance\"],v.assertAndGetBroadcastShape(t,e),v.assertAndGetBroadcastShape(t,n);let a=\"vec4(0.0)\";o!=null&&(v.assertAndGetBroadcastShape(t,o),this.variableNames.push(\"offset\"),a=\"getOffsetAtOutCoords()\");let u=\"vec4(1.0)\";s!=null&&(v.assertAndGetBroadcastShape(t,s),this.variableNames.push(\"scale\"),u=\"getScaleAtOutCoords()\"),this.outputShape=t,this.userCode=`\n void main() {\n vec4 offset = ${a};\n vec4 scale = ${u};\n\n vec4 x = getXAtOutCoords();\n vec4 mean = getMeanAtOutCoords();\n vec4 variance = getVarianceAtOutCoords();\n\n vec4 inv = scale * inversesqrt(variance + vec4(${i}));\n\n setOutput((x - mean) * inv + offset);\n }\n `}};var jet=({inputs:r,backend:t,attrs:e})=>{let{x:n,mean:o,variance:s,offset:i,scale:a}=r;y.assert(o.shape.length===s.shape.length,()=>\"Batch normalization gradient requires mean and variance to have equal ranks.\"),y.assert(i==null||o.shape.length===i.shape.length,()=>\"Batch normalization gradient requires mean and offset to have equal ranks.\"),y.assert(a==null||o.shape.length===a.shape.length,()=>\"Batch normalization gradient requires mean and scale to have equal ranks.\");let{varianceEpsilon:u}=e;u==null&&(u=.001);let l=[n,o,s],c=null;i!=null&&(c=i.shape,l.push(i));let p=null;a!=null&&(p=a.shape,l.push(a));let m=z().getBool(\"WEBGL_PACK_NORMALIZATION\")?new rC(n.shape,o.shape,s.shape,c,p,u):new eC(n.shape,o.shape,s.shape,c,p,u);return t.runWebGLProgram(m,l,l[0].dtype)},ZM={kernelName:os,backendName:\"webgl\",kernelFunc:jet};var nC=class{constructor(t){this.variableNames=[\"source\"],this.outputShape=t,this.rank=t.length;let e=zt(this.rank);this.customUniforms=[{name:\"start\",arrayIndex:this.rank,type:\"int\"}];let n=Xet(this.rank),o,s=t.map((i,a)=>`sourceLoc.${hk[a]} = start[${a}] + coords.${hk[a]};`);o=`\n ${e} sourceLoc;\n ${e} coords = getOutputCoords();\n ${s.join(`\n`)}\n `,this.userCode=`\n void main() {\n ${o}\n setOutput(getSource(${n}));\n }\n `}},hk=[\"x\",\"y\",\"z\",\"w\",\"u\",\"v\"];function Xet(r){if(r===1)return\"sourceLoc\";if(r<=6)return hk.slice(0,r).map(t=>\"sourceLoc.\"+t).join(\",\");throw Error(`Slicing for rank ${r} is not yet supported`)}var oC=class{constructor(t){this.variableNames=[\"source\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.rank=t.length,this.customUniforms=[{name:\"start\",arrayIndex:this.rank,type:\"int\"}];let e=zt(this.rank),n=Qe(\"coords\",this.rank),o=Qe(\"sourceLoc\",this.rank),s=this.rank===1?\"sourceLoc\":`vec2(${o.slice(-2).join()})`,i=`getChannel(getSource(${o.join()}), ${s})`,a=`\n result.x = ${i};\n if (++${n[this.rank-1]} < ${t[this.rank-1]}) {\n ++${o[this.rank-1]};\n result.y = ${i};\n --${o[this.rank-1]};\n }\n `,u=this.rank===1?\"\":`\n --${n[this.rank-1]};\n if (++${n[this.rank-2]} < ${t[this.rank-2]}) {\n ++${o[this.rank-2]};\n result.z = ${i};\n if (++${n[this.rank-1]} < ${t[this.rank-1]}) {\n ++${o[this.rank-1]};\n result.w = ${i};\n }\n }\n `,l=this.rank<=4?`sourceLoc = coords +\n ${e}(${t.map((c,p)=>`start[${p}]`).join()});`:t.map((c,p)=>`${o[p]} = ${n[p]} + start[${p}];`).join(`\n`);this.userCode=`\n void main() {\n ${e} coords = getOutputCoords();\n ${e} sourceLoc;\n ${l}\n vec4 result = vec4(0.);\n ${a}\n ${u}\n setOutput(result);\n }\n `}};function Yet(r,t,e,n){let o=n.texData.get(r.dataId),s=n.makeTensorInfo(e,r.dtype),i=n.texData.get(s.dataId);Object.assign(i,o),i.refCount=1,i.shape=e,i.dtype=r.dtype;let a=Le.computeFlatOffset(t,y.computeStrides(r.shape));o.slice&&(a+=o.slice.flatOffset),i.slice={flatOffset:a,origDataId:o.slice&&o.slice.origDataId||r.dataId};let u=n.dataRefCount.get(i.slice.origDataId)||1;return n.dataRefCount.set(i.slice.origDataId,u+1),s}function ri(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,size:i}=n,[a,u]=Le.parseSliceParams(o,s,i);if(Le.assertParamsValid(o,a,u),y.sizeFromShape(u)===0)return e.makeTensorInfo(u,o.dtype,[]);if(e.shouldExecuteOnCPU([o])||o.dtype===\"string\"){let p=e.texData.get(o.dataId),m=VL(p.values,a,u,o.shape,o.dtype);return e.makeTensorInfo(u,o.dtype,m)}let{isPacked:l}=e.texData.get(o.dataId),c=Le.isSliceContinous(o.shape,a,u);if(l||!c){let p=z().getBool(\"WEBGL_PACK_ARRAY_OPERATIONS\")?new oC(u):new nC(u),m=[a];return e.runWebGLProgram(p,[o],o.dtype,m)}return e.uploadToGPU(o.dataId),Yet(o,a,u,e)}var JM={kernelName:gi,backendName:\"webgl\",kernelFunc:ri};var Zet=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,crops:i}=n;y.assert(o.shape.length<=4,()=>\"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet\");let a=s.reduce((b,w)=>b*w),u=v.getReshaped(o.shape,s,a),l=v.getPermuted(u.length,s.length),c=v.getReshapedPermuted(o.shape,s,a),p=v.getSliceBeginCoords(i,s.length),m=v.getSliceSize(c,i,s.length),f=[],d=st({inputs:{x:o},backend:e,attrs:{shape:u}}),h=Oe({inputs:{x:d},backend:e,attrs:{perm:l}}),g=st({inputs:{x:h},backend:e,attrs:{shape:c}}),x=ri({inputs:{x:g},backend:e,attrs:{begin:p,size:m}});return f.push(d),f.push(h),f.push(g),f.forEach(b=>e.disposeIntermediateTensorInfo(b)),x},QM={kernelName:ai,backendName:\"webgl\",kernelFunc:Zet};function Jet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,weights:s}=t,{size:i}=n,a=e.readSync(o.dataId),u=e.readSync(s.dataId),l=Lw(a,u,s.dtype,s.shape,i);return e.makeTensorInfo([i],s.dtype,l)}var tz={kernelName:up,backendName:\"webgl\",kernelFunc:Jet};function Qet(r){let{inputs:t,backend:e}=r,{s0:n,s1:o}=t,s=e.readSync(n.dataId),i=e.readSync(o.dataId),a=v.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return e.makeTensorInfo([a.length],\"int32\",Int32Array.from(a))}var ez={kernelName:cp,backendName:\"webgl\",kernelFunc:Qet};var trt=\"return float(a != b);\",gk=le({opSnippet:trt,cpuKernelImpl:DL,dtype:\"bool\"}),rz={kernelName:Da,backendName:\"webgl\",kernelFunc:gk};function wl(r){let{inputs:t,backend:e}=r,{input:n}=t,o=e.texData.get(n.dataId);return tr({inputs:{x:o.complexTensorInfos.real},backend:e})}var nz={kernelName:Rp,backendName:\"webgl\",kernelFunc:wl};var ert=\"return float(int(x));\";function oz(r,t){let e=new tn(r.shape,ert),n=t.runWebGLProgram(e,[r],\"int32\");return{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}function xk(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dtype:s}=n;if(s===\"complex64\"){if(o.dtype===\"complex64\")return tr({inputs:{x:o},backend:e});let i=Ne(o.shape),a=xk({inputs:{x:o},backend:e,attrs:{dtype:\"float32\"}}),u=En({inputs:{real:a,imag:i},backend:e});return i.dispose(),e.disposeIntermediateTensorInfo(a),u}if(o.dtype===\"complex64\"){let i=wl({inputs:{input:o},backend:e}),a=xk({inputs:{x:i},backend:e,attrs:{dtype:s}});return e.disposeIntermediateTensorInfo(i),a}if(!y.hasEncodingLoss(o.dtype,s)){let i=tr({inputs:{x:o},backend:e});return{dataId:i.dataId,shape:i.shape,dtype:s}}if(e.shouldExecuteOnCPU([o])){let i=e.texData.get(o.dataId).values,[a,u,l]=mL(i,o.shape,o.dtype,s);return e.makeTensorInfo(a,u,l)}if(s===\"int32\")return oz(o,e);if(s===\"bool\"){let i=e.makeTensorInfo([],\"bool\",y.getTypedArrayFromDType(\"bool\",1)),u=gk({inputs:{a:o,b:i},backend:e});return e.disposeIntermediateTensorInfo(i),u}throw new Error(`Error in Cast: failed to cast ${o.dtype} to ${s}`)}var sz={kernelName:lo,backendName:\"webgl\",kernelFunc:xk};var iz=\"return ceil(x);\",rrt=Ct({opSnippet:iz,packedOpSnippet:iz,cpuKernelImpl:fL}),az={kernelName:qo,backendName:\"webgl\",kernelFunc:rrt};var sC=class{constructor(t){this.variableNames=[\"A\"],this.customUniforms=[{name:\"minVal\",type:\"float\"},{name:\"maxVal\",type:\"float\"}],this.outputShape=t,this.userCode=`\n\n void main() {\n float value = getAAtOutCoords();\n if (isnan(value)) {\n setOutput(value);\n return;\n }\n\n setOutput(clamp(value, minVal, maxVal));\n }\n `}};var iC=class{constructor(t){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"minVal\",type:\"float\"},{name:\"maxVal\",type:\"float\"}],this.outputShape=t,this.userCode=`\n void main() {\n vec4 value = getAAtOutCoords();\n\n if (any(isnan(value))) {\n setOutput(value);\n return;\n }\n\n setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n }\n `}};function nrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{clipValueMin:s,clipValueMax:i}=n,a;z().getBool(\"WEBGL_PACK_CLIP\")?a=new iC(o.shape):a=new sC(o.shape);let u=[[s],[i]];return e.runWebGLProgram(a,[o],o.dtype,u)}var lz={kernelName:uo,backendName:\"webgl\",kernelFunc:nrt};var aC=class{constructor(t){this.variableNames=[\"real\",\"imag\"],this.outputShape=t,this.userCode=`\n void main() {\n float re = abs(getRealAtOutCoords());\n float im = abs(getImagAtOutCoords());\n float mx = max(re, im);\n\n // sadly the length function in glsl is not underflow-safe\n // (at least not on Intel GPUs). So the safe solution is\n // to ensure underflow-safety in all cases.\n setOutput(\n mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n );\n }\n `}};function uz(r,t){return{dataId:t.dataId,dtype:t.dtype,shape:r.shape}}function ort(r){let{inputs:t,backend:e}=r,{x:n}=t,o=e.texData.get(n.dataId),s=new aC(n.shape),i=[uz(n,o.complexTensorInfos.real),uz(n,o.complexTensorInfos.imag)];return e.runWebGLProgram(s,i,i[0].dtype)}var cz={kernelName:_l,backendName:\"webgl\",kernelFunc:ort};var lC=class{constructor(t){this.outputShape=[],this.outputShape=v.computeOutShape(t,1),this.variableNames=t.map((i,a)=>`T${a}`);let e=new Array(t.length-1);e[0]=t[0][1];for(let i=1;i`T${g}`);let u=new Array(t.length-1);u[0]=t[0][e];for(let h=1;h= ${u[h-1]}) {\n return getChannel(\n getT${h}(${uC(a,l,g)}),\n vec2(${uC(c,l,g)}));\n }`}let f=u.length,d=u[u.length-1];m+=`\n return getChannel(\n getT${f}(${uC(a,l,d)}),\n vec2(${uC(c,l,d)}));`,this.userCode=`\n float getValue(${a.map(h=>\"int \"+h)}) {\n ${m}\n }\n\n void main() {\n ${s} coords = getOutputCoords();\n vec4 result = vec4(getValue(${i}), 0., 0., 0.);\n\n ${i[o-1]} = ${i[o-1]} + 1;\n if (${i[o-1]} < ${n[o-1]}) {\n result.g = getValue(${i});\n }\n\n ${i[o-2]} = ${i[o-2]} + 1;\n if (${i[o-2]} < ${n[o-2]}) {\n result.a = getValue(${i});\n }\n\n ${i[o-1]} = ${i[o-1]} - 1;\n if (${i[o-2]} < ${n[o-2]} &&\n ${i[o-1]} < ${n[o-1]}) {\n result.b = getValue(${i});\n }\n setOutput(result);\n }\n `}};function uC(r,t,e){let n=r.indexOf(t);return r.map((s,i)=>i===n?`${s} - ${e}`:s).join()}function Hc(r){let{inputs:t,backend:e}=r,{input:n}=t,o=e.texData.get(n.dataId);return tr({inputs:{x:o.complexTensorInfos.imag},backend:e})}var pz={kernelName:Sp,backendName:\"webgl\",kernelFunc:Hc};function Nd(r,t,e){let n=r[0].dtype;if(n===\"complex64\"){let p=r.map(g=>wl({inputs:{input:g},backend:e})),m=r.map(g=>Hc({inputs:{input:g},backend:e})),f=Nd(p,t,e),d=Nd(m,t,e),h=En({inputs:{real:f,imag:d},backend:e});return p.forEach(g=>e.disposeIntermediateTensorInfo(g)),m.forEach(g=>e.disposeIntermediateTensorInfo(g)),e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(d),h}let o=e.shouldExecuteOnCPU(r);if(n===\"string\"&&(o=!0),o){let p=r.map(b=>{let w=y.sizeFromShape(b.shape.slice(t));return st({inputs:{x:b},backend:e,attrs:{shape:[-1,w]}})}),m=p.map(b=>({vals:e.readSync(b.dataId),shape:b.shape})),f=v.computeOutShape(p.map(b=>b.shape),1),d=p[0].shape[0]===1,h=dL(m,f,n,d),g=v.computeOutShape(r.map(b=>b.shape),t),x=e.makeTensorInfo(g,n,h);return p.forEach(b=>e.disposeIntermediateTensorInfo(b)),x}let s=z().getNumber(\"WEBGL_MAX_TEXTURES_IN_SHADER\");if(r.length>s){let p=[];for(let f=0;f1){let p=new cC(r.map(m=>m.shape),t);return e.runWebGLProgram(p,r,n)}let{tensors2D:i,outShape:a}=srt(r,t,e),u=new lC(i.map(p=>p.shape)),l=e.runWebGLProgram(u,i,n);i.forEach(p=>e.disposeIntermediateTensorInfo(p));let c=st({inputs:{x:l},attrs:{shape:a},backend:e});return e.disposeIntermediateTensorInfo(l),c}function srt(r,t,e){let n=v.computeOutShape(r.map(s=>s.shape),t);return{tensors2D:r.map(s=>st({inputs:{x:s},attrs:{shape:[-1,y.sizeFromShape(s.shape.slice(t))]},backend:e})),outShape:n}}function yk(r){let{inputs:t,backend:e,attrs:n}=r,{axis:o}=n,s=y.parseAxisParam(o,t[0].shape)[0],i=t.map(l=>l.shape);v.assertParamsConsistent(i,s);let a=v.computeOutShape(t.map(l=>l.shape),s);if(y.sizeFromShape(a)===0)return e.makeTensorInfo(a,t[0].dtype,[]);let u=t.filter(l=>y.sizeFromShape(l.shape)>0);return u.length===1?tr({inputs:{x:u[0]},backend:e}):Nd(u,s,e)}var mz={kernelName:li,backendName:\"webgl\",kernelFunc:yk};var Td=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=[\"x\",\"W\"],this.outputShape=t.outShape;let i=t.padInfo.top,a=t.padInfo.left,u=t.strideHeight,l=t.strideWidth,c=t.dilationHeight,p=t.dilationWidth,m=t.filterHeight,f=t.filterWidth,d=Math.floor(t.inChannels/4)*4,h=t.inChannels%4,g=t.dataFormat===\"channelsLast\",x=g?1:2,b=g?2:3,w=g?3:1,C=\"\",N=\"\";n&&(o?C=`float activation(float a) {\n float b = getPreluActivationWeightsAtOutCoords();\n ${n}\n }`:s?C=`float activation(float a) {\n float b = getLeakyreluAlphaAtOutCoords();\n ${n}\n }`:C=`\n float activation(float x) {\n ${n}\n }\n `,N=\"result = activation(result);\");let _=e?\"result += getBiasAtOutCoords();\":\"\";e&&this.variableNames.push(\"bias\"),o&&this.variableNames.push(\"preluActivationWeights\"),s&&this.variableNames.push(\"leakyreluAlpha\"),this.userCode=`\n ${C}\n\n const ivec2 strides = ivec2(${u}, ${l});\n const ivec2 pads = ivec2(${i}, ${a});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d2 = coords[${w}];\n\n ivec2 xRCCorner =\n ivec2(coords[${x}], coords[${b}]) * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${m}; wR++) {\n int xR = xRCorner + wR * ${c};\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${f}; wC++) {\n int xC = xCCorner + wC * ${p};\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n for (int d1 = 0; d1 < ${d}; d1 += 4) {\n vec4 wValues = vec4(\n getW(wR, wC, d1, d2),\n getW(wR, wC, d1 + 1, d2),\n getW(wR, wC, d1 + 2, d2),\n getW(wR, wC, d1 + 3, d2)\n );\n\n if (${g}) {\n vec4 xValues = vec4(\n getX(batch, xR, xC, d1),\n getX(batch, xR, xC, d1 + 1),\n getX(batch, xR, xC, d1 + 2),\n getX(batch, xR, xC, d1 + 3)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec4 xValues = vec4(\n getX(batch, d1, xR, xC),\n getX(batch, d1 + 1, xR, xC),\n getX(batch, d1 + 2, xR, xC),\n getX(batch, d1 + 3, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n }\n\n if (${h===1}) {\n\n if (${g}) {\n dotProd +=\n getX(batch, xR, xC, ${d}) *\n getW(wR, wC, ${d}, d2);\n } else {\n dotProd +=\n getX(batch, ${d}, xR, xC) *\n getW(wR, wC, ${d}, d2);\n }\n\n } else if (${h===2}) {\n vec2 wValues = vec2(\n getW(wR, wC, ${d}, d2),\n getW(wR, wC, ${d} + 1, d2)\n );\n\n if (${g}) {\n vec2 xValues = vec2(\n getX(batch, xR, xC, ${d}),\n getX(batch, xR, xC, ${d} + 1)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec2 xValues = vec2(\n getX(batch, ${d}, xR, xC),\n getX(batch, ${d} + 1, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n\n } else if (${h===3}) {\n vec3 wValues = vec3(\n getW(wR, wC, ${d}, d2),\n getW(wR, wC, ${d} + 1, d2),\n getW(wR, wC, ${d} + 2, d2)\n );\n\n if (${g}) {\n vec3 xValues = vec3(\n getX(batch, xR, xC, ${d}),\n getX(batch, xR, xC, ${d} + 1),\n getX(batch, xR, xC, ${d} + 2)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec3 xValues = vec3(\n getX(batch, ${d}, xR, xC),\n getX(batch, ${d} + 1, xR, xC),\n getX(batch, ${d} + 2, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n\n }\n }\n }\n\n float result = dotProd;\n ${_}\n ${N}\n setOutput(result);\n }\n `}},pC=class{constructor(t){this.variableNames=[\"x\",\"W\"],this.outputShape=t.outShape;let e=t.padInfo.front,n=t.padInfo.top,o=t.padInfo.left,s=t.strideDepth,i=t.strideHeight,a=t.strideWidth,u=t.dilationDepth,l=t.dilationHeight,c=t.dilationWidth,p=t.filterDepth,m=t.filterHeight,f=t.filterWidth,d=Math.floor(t.inChannels/4)*4,h=t.inChannels%4;this.userCode=`\n const ivec3 strides = ivec3(${s}, ${i}, ${a});\n const ivec3 pads = ivec3(${e}, ${n}, ${o});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int d2 = coords.u;\n\n ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xFCorner = xFRCCorner.x;\n int xRCorner = xFRCCorner.y;\n int xCCorner = xFRCCorner.z;\n\n // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n // y(yF, yR, yC, d2). ? = to be determined. : = across all\n // values in that axis.\n float dotProd = 0.0;\n for (int wF = 0; wF < ${p}; wF++) {\n int xF = xFCorner + wF * ${u};\n\n if (xF < 0 || xF >= ${t.inDepth}) {\n continue;\n }\n\n for (int wR = 0; wR < ${m}; wR++) {\n int xR = xRCorner + wR * ${l};\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${f}; wC++) {\n int xC = xCCorner + wC * ${c};\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n for (int d1 = 0; d1 < ${d}; d1 += 4) {\n vec4 xValues = vec4(\n getX(batch, xF, xR, xC, d1),\n getX(batch, xF, xR, xC, d1 + 1),\n getX(batch, xF, xR, xC, d1 + 2),\n getX(batch, xF, xR, xC, d1 + 3)\n );\n vec4 wValues = vec4(\n getW(wF, wR, wC, d1, d2),\n getW(wF, wR, wC, d1 + 1, d2),\n getW(wF, wR, wC, d1 + 2, d2),\n getW(wF, wR, wC, d1 + 3, d2)\n );\n\n dotProd += dot(xValues, wValues);\n }\n\n if (${h===1}) {\n dotProd +=\n getX(batch, xF, xR, xC, ${d}) *\n getW(wF, wR, wC, ${d}, d2);\n } else if (${h===2}) {\n vec2 xValues = vec2(\n getX(batch, xF, xR, xC, ${d}),\n getX(batch, xF, xR, xC, ${d} + 1)\n );\n vec2 wValues = vec2(\n getW(wF, wR, wC, ${d}, d2),\n getW(wF, wR, wC, ${d} + 1, d2)\n );\n dotProd += dot(xValues, wValues);\n } else if (${h===3}) {\n vec3 xValues = vec3(\n getX(batch, xF, xR, xC, ${d}),\n getX(batch, xF, xR, xC, ${d} + 1),\n getX(batch, xF, xR, xC, ${d} + 2)\n );\n vec3 wValues = vec3(\n getW(wF, wR, wC, ${d}, d2),\n getW(wF, wR, wC, ${d} + 1, d2),\n getW(wF, wR, wC, ${d} + 2, d2)\n );\n dotProd += dot(xValues, wValues);\n }\n }\n }\n }\n setOutput(dotProd);\n }\n `}};var kd=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=[\"x\",\"W\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"pads\",type:\"ivec2\"},{name:\"strides\",type:\"ivec2\"},{name:\"dilations\",type:\"ivec2\"},{name:\"inDims\",type:\"ivec2\"}],this.outputShape=t.outShape,this.enableShapeUniforms=we(this.outputShape.length);let i=t.padInfo.left,a=t.strideWidth,u=t.dilationWidth,l=t.filterHeight,c=t.filterWidth,p=c,m=`\n int xR; int xC; int xCOffset;\n vec4 wTexel; vec4 previous; vec4 final;`;for(let g=0;g=0 && xR < inDims[0]) {\n `;for(let g=0;g<(p+1)/2;g++){let x=g*2;if(m+=`\n xC = xCCorner + ${x*u};\n `,a===1){if(x= 0 && xCOffset < inDims[1] && xTexelC${x}Ready == 0) {\n xTexelC${x} = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x}.zw = vec2(0.0);\n }\n xTexelC${x}Ready = 1;\n }\n `,u===1&&x>0?m+=`\n xC${x} = vec4(xTexelC${x-2}.zw, xTexelC${x}.xy);\n `:m+=`\n xCOffset = xC + 1 - 2;\n\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n previous.zw = vec2(0.0);\n }\n\n xC${x} = vec4(previous.zw, xTexelC${x}.xy);\n } else {\n xC${x} = vec4(0.0, 0.0, xTexelC${x}.xy);\n }\n `):m+=`\n if (xC >= 0 && xC < inDims[1] && xTexelC${x}Ready == 0) {\n xTexelC${x} = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC${x}.zw = vec2(0.0);\n }\n xTexelC${x}Ready = 1;\n }\n\n xC${x} = xTexelC${x};\n `,x+1= 0 && xCOffset < inDims[1] && xTexelC${x+1}Ready == 0) {\n xTexelC${x+1} = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x+1}.zw = vec2(0.0);\n }\n xTexelC${x+1}Ready = 1;\n }\n `,u>1?m+=`\n xCOffset -= 2;\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n xC${x+1} = vec4(previous.zw, xTexelC${x+1}.xy);\n } else {\n xC${x+1} = vec4(0.0, 0.0, xTexelC${x+1}.xy);\n }\n `:m+=`\n xC${x+1} = vec4(xTexelC${x}.zw, xTexelC${x+1}.xy);\n `):b===1?m+=`\n xC${x+1} = xTexelC${x};\n `:m+=`\n xCOffset = xC + ${b};\n\n if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${x+1}Ready == 0) {\n xTexelC${x+1} = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x+1}.zw = vec2(0.0);\n }\n xTexelC${x+1}Ready = 1;\n }\n\n xC${x+1} = xTexelC${x+1};\n `}}else x= 0 && xCOffset < inDims[1] && xTexelC${x}Ready == 0) {\n xTexelC${x} = getX(batch, xR, xCOffset, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x}.zw = vec2(0.0);\n }\n xTexelC${x}Ready = 1;\n }\n\n if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC${x+1}Ready == 0) {\n xTexelC${x+1} = getX(batch, xR, xC + 1, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xC + 2 >= inDims[1]) {\n xTexelC${x+1}.zw = vec2(0.0);\n }\n xTexelC${x+1}Ready = 1;\n }\n\n xC${x} = vec4(xTexelC${x}.zw, xTexelC${x+1}.zw);\n `,x+1= 0 && xCOffset < inDims[1]) {\n final = getX(batch, xR, xCOffset, d1);\n }\n xC${x+1} = vec4(xTexelC${x+1}.xy, final.xy);\n `)):(m+=`\n if(xC >= 0 && xC < inDims[1] && xTexelC${x}Ready == 0) {\n xTexelC${x} = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC${x}.zw = vec2(0.0);\n }\n xTexelC${x}Ready = 1;\n }\n\n xCOffset = xC + strides[1];\n if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${x+1}Ready == 0) {\n xTexelC${x+1} = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x+1}.zw = vec2(0.);\n }\n xTexelC${x+1}Ready = 1;\n }\n\n xC${x} = vec4(\n xTexelC${x}.xy, xTexelC${x+1}.xy);\n `,x+1= 0) {\n // Use custom imod instead mod. On Intel GPU, mod may generate\n // unexpected value.\n // https://github.com/tensorflow/tfjs/issues/5447\n offsetX = imod(blockIndex, outWidth) * stride[1] - pad[1];\n d1 = offsetX + dilation[1] * (imod(pos, itemsPerBlockRow) /\n inChannels);\n\n if(d1 < inputShape[${a}] && d1 >= 0) {\n\n ch = imod(pos, inChannels);\n\n if (${s}) {\n innerDims = vec2(d1, ch);\n result[${c*2+p}] = getChannel(\n getA(rc.x, d0, int(innerDims.x),\n int(innerDims.y)), innerDims);\n } else {\n innerDims = vec2(d0, d1);\n result[${c*2+p}] = getChannel(\n getA(rc.x, ch, int(innerDims.x),\n int(innerDims.y)), innerDims);\n }\n }\n }\n }\n `;this.userCode=`\n void main() {\n ivec3 rc = getOutputCoords();\n\n vec4 result = vec4(0);\n\n int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n vec2 innerDims;\n\n ${l}\n\n ${o.output} = result;\n }\n `}};function fC(r,t){let e=r.length;return e>=3?t?[...r.slice(0,-3),r[e-3]*r[e-2],r[e-1]]:[...r.slice(0,-3),r[e-3],r[e-2]*r[e-1]]:!t&&e===1&&r[0]>1?[r[0],1]:null}function dC({x:r,filter:t,convInfo:e,backend:n,bias:o=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:a=null}){let u=r.shape,l=n.texData.get(r.dataId),c=e.inChannels,p=u[0]*u[1]*u[2],m=e.outChannels,f=e.dataFormat===\"channelsLast\",d=!1,h=!1,g,x=[];if(s!=null){let C=fC(s.shape,f);C!=null&&(s=st({inputs:{x:s},backend:n,attrs:{shape:C}}),x.push(s))}if(o!=null){let C=fC(o.shape,f);C!=null&&(o=st({inputs:{x:o},backend:n,attrs:{shape:C}}),x.push(o))}if(!((p===1||m===1)&&c>dk)&&l.isPacked&&f&&l.texture!=null&&u[2]%2!==0&&y.arraysEqual(l.shape.slice(-3),u.slice(-3))){let C=u[0]*u[1]*(u[2]+1),N={dataId:r.dataId,shape:[1,C,e.inChannels],dtype:r.dtype},_=l.shape;l.shape=l.shape.slice(),l.shape[l.shape.length-2]++,y.assert(Eu(l.shape,N.shape),()=>`packed reshape ${l.shape} to ${N.shape} isn't free`);let A=st({inputs:{x:t},backend:n,attrs:{shape:[1,e.inChannels,e.outChannels]}});x.push(A);let $=Uc({a:N,b:A,backend:n,transposeA:d,transposeB:h,bias:o,activation:a,preluActivationWeights:s,leakyreluAlpha:i}),F=n.texData.get($.dataId);y.assert(F.isPacked,()=>\"batchMatMul result is expected to be packed\"),l.shape=_,F.shape=e.outShape,g=tr({inputs:{x:$},backend:n}),g.shape=e.outShape,x.push($)}else{let C=e.outHeight*e.outWidth,N=st({inputs:{x:r},backend:n,attrs:{shape:f?[e.batchSize,C,e.inChannels]:[e.batchSize,e.inChannels,C]}}),_=st({inputs:{x:t},backend:n,attrs:{shape:[1,e.inChannels,e.outChannels]}}),A=Uc({a:f?N:_,b:f?_:N,transposeA:!f,transposeB:h,backend:n,bias:o,activation:a,preluActivationWeights:s,leakyreluAlpha:i});g=st({inputs:{x:A},backend:n,attrs:{shape:e.outShape}}),x.push(N),x.push(_),x.push(A)}for(let C of x)n.disposeIntermediateTensorInfo(C);return g}function hC({x:r,filter:t,convInfo:e,backend:n,bias:o=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:a=null}){let{filterWidth:u,filterHeight:l,inChannels:c,outWidth:p,outHeight:m,dataFormat:f}=e,d=f===\"channelsLast\",h=u*l*c,g=m*p,x=[e.batchSize,h,g],b=!0,w=!1,C=[];if(s!=null){let Z=fC(s.shape,d);Z!=null&&(s=st({inputs:{x:s},backend:n,attrs:{shape:Z}}),C.push(s))}if(o!=null){let Z=fC(o.shape,d);Z!=null&&(o=st({inputs:{x:o},backend:n,attrs:{shape:Z}}),C.push(o))}let N=st({inputs:{x:t},backend:n,attrs:{shape:[1,h,y.sizeFromShape(t.shape)/h]}});C.push(N);let _=new mC(x,e),A=[r.shape,[e.padInfo.top,e.padInfo.left],[e.strideHeight,e.strideWidth],[e.dilationHeight,e.dilationWidth],[e.inChannels],[e.filterWidth*e.inChannels],[e.outWidth]],$=n.runWebGLProgram(_,[r],\"float32\",A),F=st({inputs:{x:$},backend:n,attrs:{shape:x}});C.push($),C.push(F);let P=o!=null,V=s!=null,G=a===\"leakyrelu\",W=a?bl(a,!0):null,q=new vd(d?F.shape:N.shape,d?N.shape:F.shape,d?[e.batchSize,g,e.outChannels]:[e.batchSize,e.outChannels,g],b,w,P,W,V,G),H=d?[F,N]:[N,F];if(o&&H.push(o),V&&H.push(s),G){let Z=n.makeTensorInfo([],\"float32\",y.createScalarValue(i,\"float32\"));H.push(Z),C.push(Z)}let j=n.runWebGLProgram(q,H,\"float32\"),Y=st({inputs:{x:j},backend:n,attrs:{shape:e.outShape}});C.push(j);for(let Z of C)n.disposeIntermediateTensorInfo(Z);return Y}function irt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dataFormat:u,dilations:l,dimRoundingMode:c}=n,p=v.convertConv2DDataFormat(u),m=v.computeConv2DInfo(o.shape,s.shape,i,l,a,c,!1,p),f;if(m.filterHeight===1&&m.filterWidth===1&&m.dilationHeight===1&&m.dilationWidth===1&&m.strideHeight===1&&m.strideWidth===1&&(m.padInfo.type===\"SAME\"||m.padInfo.type===\"VALID\"))f=dC({x:o,filter:s,convInfo:m,backend:e});else if(m.strideWidth<=2&&p===\"channelsLast\"&&z().getBool(\"WEBGL_EXP_CONV\")){let h=new kd(m),g=[[m.padInfo.top,m.padInfo.left],[m.strideHeight,m.strideWidth],[m.dilationHeight,m.dilationWidth],[m.inHeight,m.inWidth]];f=e.runWebGLProgram(h,[o,s],\"float32\",g)}else if(z().getBool(\"WEBGL_CONV_IM2COL\"))f=hC({x:o,filter:s,convInfo:m,backend:e});else{let h=new Td(m);f=e.runWebGLProgram(h,[o,s],\"float32\")}let d=st({inputs:{x:f},backend:e,attrs:{shape:m.outShape}});return e.disposeIntermediateTensorInfo(f),d}var fz={kernelName:Ko,backendName:\"webgl\",kernelFunc:irt};var gC=class{constructor(t){this.variableNames=[\"x\",\"dy\"],this.outputShape=t.filterShape;let e=t.strideHeight,n=t.strideWidth,o=t.padInfo.top,s=t.padInfo.left,i=t.dataFormat===\"channelsLast\";this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int wR = coords.x;\n int wC = coords.y;\n int d1 = coords.z;\n int d2 = coords.w;\n\n // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int b = 0; b < ${t.batchSize}; b++) {\n for (int yR = 0; yR < ${t.outHeight}; yR++) {\n int xR = wR + yR * ${e} - ${o};\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int yC = 0; yC < ${t.outWidth}; yC++) {\n int xC = wC + yC * ${n} - ${s};\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n if (${i}) {\n float dyValue = getDy(b, yR, yC, d2);\n float xValue = getX(b, xR, xC, d1);\n dotProd += (xValue * dyValue);\n } else {\n float dyValue = getDy(b, d2, yR, yC);\n float xValue = getX(b, d1, xR, xC);\n dotProd += (xValue * dyValue);\n }\n\n }\n }\n }\n setOutput(dotProd);\n }\n `}},xC=class{constructor(t){this.variableNames=[\"dy\",\"W\"],this.outputShape=t.inShape;let e=t.filterHeight,n=t.filterWidth,o=t.strideHeight,s=t.strideWidth,i=t.dataFormat===\"channelsLast\",a=e-1-t.padInfo.top,u=n-1-t.padInfo.left,l=i?1:2,c=i?2:3,p=i?3:1;this.userCode=`\n const ivec2 pads = ivec2(${a}, ${u});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d1 = coords[${p}];\n\n ivec2 dyCorner = ivec2(coords[${l}], coords[${c}]) - pads;\n int dyRCorner = dyCorner.x;\n int dyCCorner = dyCorner.y;\n\n // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${e}; wR++) {\n float dyR = float(dyRCorner + wR) / ${o}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ${e} - 1 - wR;\n\n for (int wC = 0; wC < ${n}; wC++) {\n float dyC = float(dyCCorner + wC) / ${s}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ${n} - 1 - wC;\n\n for (int d2 = 0; d2 < ${t.outChannels}; d2++) {\n\n if (${i}) {\n float xValue = getDy(batch, idyR, idyC, d2);\n float wValue = getW(wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n } else {\n float xValue = getDy(batch, d2, idyR, idyC);\n float wValue = getW(wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n }\n\n }\n }\n }\n setOutput(dotProd);\n }\n `}},yC=class{constructor(t){this.variableNames=[\"x\",\"dy\"],this.outputShape=t.filterShape;let e=t.strideDepth,n=t.strideHeight,o=t.strideWidth,s=t.padInfo.front,i=t.padInfo.top,a=t.padInfo.left;this.userCode=`\n void main() {\n ivec5 coords = getOutputCoords();\n int wF = coords.x;\n int wR = coords.y;\n int wC = coords.z;\n int d1 = coords.w;\n int d2 = coords.u;\n\n float dotProd = 0.0;\n\n for (int b = 0; b < ${t.batchSize}; b++) {\n for (int yF = 0; yF < ${t.outDepth}; yF++) {\n int xF = wF + yF * ${e} - ${s};\n\n if (xF < 0 || xF >= ${t.inDepth}) {\n continue;\n }\n\n for (int yR = 0; yR < ${t.outHeight}; yR++) {\n int xR = wR + yR * ${n} - ${i};\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int yC = 0; yC < ${t.outWidth}; yC++) {\n int xC = wC + yC * ${o} - ${a};\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n float dyValue = getDy(b, yF, yR, yC, d2);\n float xValue = getX(b, xF, xR, xC, d1);\n dotProd += (xValue * dyValue);\n }\n }\n }\n }\n setOutput(dotProd);\n }\n `}},bC=class{constructor(t){this.variableNames=[\"dy\",\"W\"],this.outputShape=t.inShape;let e=t.filterDepth,n=t.filterHeight,o=t.filterWidth,s=t.strideDepth,i=t.strideHeight,a=t.strideWidth,u=e-1-t.padInfo.front,l=n-1-t.padInfo.top,c=o-1-t.padInfo.left;this.userCode=`\n const ivec3 pads = ivec3(${u}, ${l}, ${c});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int d1 = coords.u;\n\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyFCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n float dotProd = 0.0;\n for (int wF = 0; wF < ${e}; wF++) {\n float dyF = float(dyFCorner + wF) / ${s}.0;\n\n if (dyF < 0.0 || dyF >= ${t.outDepth}.0 || fract(dyF) > 0.0) {\n continue;\n }\n int idyF = int(dyF);\n\n int wFPerm = ${e} - 1 - wF;\n\n for (int wR = 0; wR < ${n}; wR++) {\n float dyR = float(dyRCorner + wR) / ${i}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ${n} - 1 - wR;\n\n for (int wC = 0; wC < ${o}; wC++) {\n float dyC = float(dyCCorner + wC) / ${a}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ${o} - 1 - wC;\n\n for (int d2 = 0; d2 < ${t.outChannels}; d2++) {\n float xValue = getDy(batch, idyF, idyR, idyC, d2);\n float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n }\n }\n }\n }\n setOutput(dotProd);\n }\n `}};function art(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,dy:s}=t,{strides:i,pad:a,dataFormat:u,dimRoundingMode:l,filterShape:c}=n,p=v.convertConv2DDataFormat(u),m=v.computeConv2DInfo(o.shape,c,i,1,a,l,!1,p),f=new gC(m);return e.runWebGLProgram(f,[o,s],\"float32\")}var dz={kernelName:mp,backendName:\"webgl\",kernelFunc:art};function lrt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,filter:s}=t,{inputShape:i,strides:a,pad:u,dataFormat:l,dimRoundingMode:c}=n,p=v.convertConv2DDataFormat(l),m=v.computeConv2DInfo(i,s.shape,a,1,u,c,!1,p),f=new xC(m);return e.runWebGLProgram(f,[o,s],\"float32\")}var hz={kernelName:jo,backendName:\"webgl\",kernelFunc:lrt};function urt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dilations:u}=n,l=v.computeConv3DInfo(o.shape,s.shape,i,u,a),c=new pC(l);return e.runWebGLProgram(c,[o,s],\"float32\")}var gz={kernelName:Al,backendName:\"webgl\",kernelFunc:urt};function crt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,dy:s}=t,{strides:i,pad:a,filterShape:u}=n,l=v.computeConv3DInfo(o.shape,u,i,1,a),c=new yC(l);return e.runWebGLProgram(c,[o,s],\"float32\")}var xz={kernelName:fp,backendName:\"webgl\",kernelFunc:crt};function prt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,filter:s}=t,{pad:i,strides:a,inputShape:u}=n,l=v.computeConv3DInfo(u,s.shape,a,1,i),c=new bC(l);return e.runWebGLProgram(c,[o,s],\"float32\")}var yz={kernelName:dp,backendName:\"webgl\",kernelFunc:prt};var mrt=Po+`\n return cos(x);\n`,frt=Ct({opSnippet:mrt}),bz={kernelName:Xo,backendName:\"webgl\",kernelFunc:frt};var drt=`\n float e2x = exp(-x);\n return (e2x + 1.0 / e2x) / 2.0;\n`,hrt=Ct({opSnippet:drt}),wz={kernelName:Yo,backendName:\"webgl\",kernelFunc:hrt};var wC=class{constructor(t,e,n,o,s){this.variableNames=[\"Image\",\"Boxes\",\"BoxInd\"],this.outputShape=[];let[i,a,u,l]=t,[c]=e,[p,m]=n;this.outputShape=[c,p,m,l];let f=o===\"bilinear\"?1:0,[d,h]=[`${a-1}.0`,`${u-1}.0`],[g,x,b]=p>1?[`${(a-1)/(p-1)}`,\"(y2-y1) * height_ratio\",`y1*${d} + float(y)*(height_scale)`]:[\"0.0\",\"0.0\",`0.5 * (y1+y2) * ${d}`],[w,C,N]=m>1?[`${(u-1)/(m-1)}`,\"(x2-x1) * width_ratio\",`x1*${h} + float(x)*(width_scale)`]:[\"0.0\",\"0.0\",`0.5 * (x1+x2) * ${h}`];this.userCode=`\n const float height_ratio = float(${g});\n const float width_ratio = float(${w});\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int y = coords[1];\n int x = coords[2];\n int d = coords[3];\n\n // get box vals\n float y1 = getBoxes(b,0);\n float x1 = getBoxes(b,1);\n float y2 = getBoxes(b,2);\n float x2 = getBoxes(b,3);\n\n // get image in batch index\n int bInd = round(getBoxInd(b));\n if(bInd < 0 || bInd >= ${i}) {\n return;\n }\n\n float height_scale = ${x};\n float width_scale = ${C};\n\n float in_y = ${b};\n if( in_y < 0.0 || in_y > ${d} ) {\n setOutput(float(${s}));\n return;\n }\n float in_x = ${N};\n if( in_x < 0.0 || in_x > ${h} ) {\n setOutput(float(${s}));\n return;\n }\n\n vec2 sourceFracIndexCR = vec2(in_x,in_y);\n if(${f} == 1) {\n // Compute the four integer indices.\n ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n float top = topLeft + (topRight - topLeft) * fracCR.x;\n float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n float newValue = top + (bottom - top) * fracCR.y;\n setOutput(newValue);\n } else {\n // Compute the coordinators of nearest neighbor point.\n ivec2 sourceNearestCR = ivec2(floor(\n sourceFracIndexCR + vec2(0.5,0.5)));\n float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n setOutput(newValue);\n }\n }\n `}};var grt=r=>{let{inputs:t,backend:e,attrs:n}=r,{image:o,boxes:s,boxInd:i}=t,{cropSize:a,method:u,extrapolationValue:l}=n,c=new wC(o.shape,s.shape,a,u,l);return e.runWebGLProgram(c,[o,s,i],\"float32\")},Cz={kernelName:da,backendName:\"webgl\",kernelFunc:grt};var qc;(function(r){r.Prod=\"*\",r.Sum=\"+\"})(qc||(qc={}));var ng=class{constructor(t,e,n,o){this.op=t,this.outputShape=e,this.variableNames=[\"x\"],this.customUniforms=[{name:\"index\",type:\"float\"}];let s=this.outputShape.length,i=this.op===qc.Prod?\"1.0\":\"0.0\",a=n?i:`getX(${Iz(s,\"coords\",this.op)})`,u=this.outputShape[this.outputShape.length-1],l=\"\",c=\"\";n?(l=o?`end != ${u-1}`:\"end != 0\",c=o?\"end + 1\":\"end - 1\"):(l=o?`end + pow2 < ${u}`:\"end >= pow2\",c=o?\"end + pow2\":\"end - pow2\"),this.userCode=`\n void main() {\n ${zt(s)} coords = getOutputCoords();\n int end = ${Sz(s,\"coords\",this.op)};\n float val = ${a};\n int pow2 = int(pow(2.0, index));\n if (${l}) {\n int idx = ${c};\n ${Sz(s,\"coords\",this.op)} = idx;\n val ${this.op}= getX(${Iz(s,\"coords\",this.op)});\n }\n setOutput(val);\n }\n `}};function Iz(r,t,e){if(r===1)return`${t}`;if(r===2)return`${t}.x, ${t}.y`;if(r===3)return`${t}.x, ${t}.y, ${t}.z`;if(r===4)return`${t}.x, ${t}.y, ${t}.z, ${t}.w`;throw new Error(`Cumulative ${e} for rank ${r} is not yet supported`)}function Sz(r,t,e){if(r===1)return`${t}`;if(r===2)return`${t}.y`;if(r===3)return`${t}.z`;if(r===4)return`${t}.w`;throw new Error(`Cumulative ${e} for rank ${r} is not yet supported`)}function CC(r,t,e,n,o,s){let i=t.shape.length,a=v.getAxesPermutation([n],i),u=t;a!=null&&(u=Oe({inputs:{x:t},backend:e,attrs:{perm:a}}));let l=v.getInnerMostAxes(1,i)[0];if(l!==i-1)throw new Error(`WebGL cumprod shader expects an inner-most axis=${t.shape.length-1} but got axis=${n}`);let c=u.shape[l],p=tr({inputs:{x:u},backend:e});for(let m=0;m<=Math.ceil(Math.log2(c))-1;m++){let f=new ng(r,u.shape,!1,s),d=[[m]],h=p;p=e.runWebGLProgram(f,[p],p.dtype,d),e.disposeIntermediateTensorInfo(h)}if(o){let m=new ng(r,u.shape,o,s),f=p;p=e.runWebGLProgram(m,[p],p.dtype),e.disposeIntermediateTensorInfo(f)}if(a!=null){let m=v.getUndoAxesPermutation(a),f=Oe({inputs:{x:p},backend:e,attrs:{perm:m}});return e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(u),f}return p}function xrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,exclusive:i,reverse:a}=n;return CC(qc.Prod,o,e,s,i,a)}var vz={kernelName:fa,backendName:\"webgl\",kernelFunc:xrt};function yrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,exclusive:i,reverse:a}=n;return CC(qc.Sum,o,e,s,i,a)}var Nz={kernelName:Zo,backendName:\"webgl\",kernelFunc:yrt};function brt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,weights:s}=t,{size:i,binaryOutput:a}=n;if(o.shape.length===1){let u=e.readSync(o.dataId),l=e.readSync(s.dataId),c=Lw(u,l,s.dtype,s.shape,i);return e.makeTensorInfo([i],s.dtype,c)}else if(o.shape.length===2){let u=e.bufferSync(o),l=e.bufferSync(s),c=pL(u,l,i,a);return e.makeTensorInfo(c.shape,s.dtype,c.values)}throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank${o.shape.length}.`)}var Tz={kernelName:hp,backendName:\"webgl\",kernelFunc:brt};var IC=class{constructor(t,e,n){this.variableNames=[\"x\"],this.outputShape=[],this.outputShape=t,this.blockSize=e,this.dataFormat=n,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int h = ${this.getHeightCoordString()};\n int w = ${this.getWidthCoordString()};\n int d = ${this.getDepthCoordString()};\n\n int in_h = h / ${e};\n int offset_h = imod(h, ${e});\n int in_w = w / ${e};\n int offset_w = imod(w, ${e});\n int offset_d = (offset_h * ${e} + offset_w) *\n ${this.getOutputDepthSize()};\n int in_d = d + offset_d;\n\n float result = ${this.getInputSamplingString()};\n setOutput(result);\n }\n `}getHeightCoordString(){return this.dataFormat===\"NHWC\"?\"coords[1]\":\"coords[2]\"}getWidthCoordString(){return this.dataFormat===\"NHWC\"?\"coords[2]\":\"coords[3]\"}getDepthCoordString(){return this.dataFormat===\"NHWC\"?\"coords[3]\":\"coords[1]\"}getOutputDepthSize(){return this.dataFormat===\"NHWC\"?this.outputShape[3]:this.outputShape[1]}getInputSamplingString(){return this.dataFormat===\"NHWC\"?\"getX(b, in_h, in_w, in_d)\":\"getX(b, in_d, in_h, in_w)\"}};function wrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockSize:s,dataFormat:i}=n,a=o.shape[0],u=i===\"NHWC\"?o.shape[1]:o.shape[2],l=i===\"NHWC\"?o.shape[2]:o.shape[3],c=i===\"NHWC\"?o.shape[3]:o.shape[1],p=u*s,m=l*s,f=c/(s*s),d=i===\"NHWC\"?[a,p,m,f]:[a,f,p,m],h=new IC(d,s,i);return e.runWebGLProgram(h,[o],o.dtype)}var kz={kernelName:ha,backendName:\"webgl\",kernelFunc:wrt};var Ed=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=[\"x\",\"W\"],this.customUniforms=[{name:\"pads\",type:\"ivec2\"},{name:\"strides\",type:\"ivec2\"},{name:\"dilations\",type:\"ivec2\"},{name:\"inDims\",type:\"ivec2\"}],this.outputShape=t.outShape,this.enableShapeUniforms=we(this.outputShape.length);let i=t.filterHeight,a=t.filterWidth,u=t.outChannels/t.inChannels,l=\"\",c=\"\";n&&(o?l=`float activation(float a) {\n float b = getPreluActivationWeightsAtOutCoords();\n ${n}\n }`:s?l=`float activation(float a) {\n float b = getLeakyreluAlphaAtOutCoords();\n ${n}\n }`:l=`\n float activation(float x) {\n ${n}\n }\n `,c=\"result = activation(result);\");let p=e?\"result += getBiasAtOutCoords();\":\"\";e&&this.variableNames.push(\"bias\"),o&&this.variableNames.push(\"preluActivationWeights\"),s&&this.variableNames.push(\"leakyreluAlpha\"),this.userCode=`\n ${l}\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords.x;\n ivec2 xRCCorner = coords.yz * strides - pads;\n int d2 = coords.w;\n int d1 = d2 / ${u};\n int q = d2 - d1 * ${u};\n\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n for (int wR = 0; wR < ${i}; wR++) {\n int xR = xRCorner + wR * dilations[0];\n\n if (xR < 0 || xR >= inDims[0]) {\n continue;\n }\n\n for (int wC = 0; wC < ${a}; wC++) {\n int xC = xCCorner + wC * dilations[1];\n\n if (xC < 0 || xC >= inDims[1]) {\n continue;\n }\n\n float xVal = getX(batch, xR, xC, d1);\n float wVal = getW(wR, wC, d1, q);\n dotProd += xVal * wVal;\n }\n }\n\n float result = dotProd;\n ${p}\n ${c}\n setOutput(result);\n }\n `}};var _d=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=[\"x\",\"W\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"pads\",type:\"ivec2\"},{name:\"strides\",type:\"ivec2\"},{name:\"dilations\",type:\"ivec2\"},{name:\"inDims\",type:\"ivec2\"}],this.outputShape=t.outShape,this.enableShapeUniforms=we(this.outputShape.length);let i=t.outChannels/t.inChannels,a=t.padInfo.left,u=t.strideWidth,l=t.dilationWidth,c=t.filterHeight,p=t.filterWidth,m=p,f=`\n int xR; int xC; int xCOffset;\n vec4 wTexel; vec4 previous; vec4 final;`;for(let x=0;x=0 && xR < inDims[0]) {\n `;for(let x=0;x<(m+1)/2;x++){let b=x*2;if(f+=`\n xC = xCCorner + ${b*l};\n `,u===1){if(b= 0 && xCOffset < inDims[1] && xTexelC${b}Ready == 0) {\n xTexelC${b} = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b}.zw = vec2(0.0);\n }\n xTexelC${b}Ready = 1;\n }\n `,l===1&&b>0?f+=`\n xC${b} = vec4(xTexelC${b-2}.zw, xTexelC${b}.xy);\n `:f+=`\n xCOffset = xC + 1 - 2;\n\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n previous.zw = vec2(0.0);\n }\n\n xC${b} = vec4(previous.zw, xTexelC${b}.xy);\n } else {\n xC${b} = vec4(0.0, 0.0, xTexelC${b}.xy);\n }\n `):f+=`\n if (xC >= 0 && xC < inDims[1] && xTexelC${b}Ready == 0) {\n xTexelC${b} = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC${b}.zw = vec2(0.0);\n }\n xTexelC${b}Ready = 1;\n }\n\n xC${b} = xTexelC${b};\n `,b+1= 0 && xCOffset < inDims[1] && xTexelC${b+1}Ready == 0) {\n xTexelC${b+1} = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b+1}.zw = vec2(0.0);\n }\n xTexelC${b+1}Ready = 1;\n }\n `,l>1?f+=`\n xCOffset -= 2;\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n xC${b+1} = vec4(previous.zw, xTexelC${b+1}.xy);\n } else {\n xC${b+1} = vec4(0.0, 0.0, xTexelC${b+1}.xy);\n }\n `:f+=`\n xC${b+1} = vec4(xTexelC${b}.zw, xTexelC${b+1}.xy);\n `):w===1?f+=`\n xC${b+1} = xTexelC${b};\n `:f+=`\n xCOffset = xC + ${w};\n\n if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${b+1}Ready == 0) {\n xTexelC${b+1} = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b+1}.zw = vec2(0.0);\n }\n xTexelC${b+1}Ready = 1;\n }\n\n xC${b+1} = xTexelC${b+1};\n `}}else b= 0 && xCOffset < inDims[1] && xTexelC${b}Ready == 0) {\n xTexelC${b} = getX(batch, xR, xCOffset, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b}.zw = vec2(0.0);\n }\n xTexelC${b}Ready = 1;\n }\n\n if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC${b+1}Ready == 0) {\n xTexelC${b+1} = getX(batch, xR, xC + 1, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xC + 2 >= inDims[1]) {\n xTexelC${b+1}.zw = vec2(0.0);\n }\n xTexelC${b+1}Ready = 1;\n }\n\n xC${b} = vec4(xTexelC${b}.zw, xTexelC${b+1}.zw);\n `,b+1= 0 && xCOffset < inDims[1]) {\n final = getX(batch, xR, xCOffset, d1);\n }\n xC${b+1} = vec4(xTexelC${b+1}.xy, final.xy);\n `)):(f+=`\n if(xC >= 0 && xC < inDims[1] && xTexelC${b}Ready == 0) {\n xTexelC${b} = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC${b}.zw = vec2(0.0);\n }\n xTexelC${b}Ready = 1;\n }\n\n xCOffset = xC + strides[1];\n if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${b+1}Ready == 0) {\n xTexelC${b+1} = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b+1}.zw = vec2(0.);\n }\n xTexelC${b+1}Ready = 1;\n }\n\n xC${b} = vec4(\n xTexelC${b}.xy, xTexelC${b+1}.xy);\n `,b+1`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${c}'`);let p=v.computeConv2DInfo(o.shape,s.shape,i,c,a,l,!0),m;z().getBool(\"WEBGL_PACK_DEPTHWISECONV\")&&p.strideWidth<=2&&p.outChannels/p.inChannels===1?m=new _d(p):m=new Ed(p);let f=[[p.padInfo.top,p.padInfo.left],[p.strideHeight,p.strideWidth],[p.dilationHeight,p.dilationWidth],[p.inHeight,p.inWidth]];return e.runWebGLProgram(m,[o,s],\"float32\",f)}var Ez={kernelName:Jo,backendName:\"webgl\",kernelFunc:Crt};var SC=class{constructor(t){this.variableNames=[\"x\",\"dy\"],this.outputShape=t.filterShape;let e=t.strideHeight,n=t.strideWidth,o=t.padInfo.top,s=t.padInfo.left,i=t.outChannels/t.inChannels;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int wR = coords.x;\n int wC = coords.y;\n int d1 = coords.z;\n int dm = coords.w;\n int d2 = d1 * ${i} + dm;\n\n float dotProd = 0.0;\n\n // TO DO: Vec4 over the batch size\n for (int b = 0; b < ${t.batchSize}; b++) {\n for (int yR = 0; yR < ${t.outHeight}; yR++) {\n int xR = wR + yR * ${e} - ${o};\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int yC = 0; yC < ${t.outWidth}; yC++) {\n int xC = wC + yC * ${n} - ${s};\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n float dyValue = getDy(b, yR, yC, d2);\n float xValue = getX(b, xR, xC, d1);\n dotProd += (xValue * dyValue);\n }\n }\n }\n setOutput(dotProd);\n }\n `}},vC=class{constructor(t){this.variableNames=[\"dy\",\"W\"],this.outputShape=t.inShape;let e=t.filterHeight,n=t.filterWidth,o=t.strideHeight,s=t.strideWidth,i=e-1-t.padInfo.top,a=n-1-t.padInfo.left,u=t.outChannels/t.inChannels;this.userCode=`\n const ivec2 pads = ivec2(${i}, ${a});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d1 = coords[3];\n ivec2 dyCorner = coords.yz - pads;\n int dyRCorner = dyCorner.x;\n int dyCCorner = dyCorner.y;\n\n float dotProd = 0.0;\n\n for (int wR = 0; wR < ${e}; wR++) {\n float dyR = float(dyRCorner + wR) / ${o}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ${e} - 1 - wR;\n\n for (int wC = 0; wC < ${n}; wC++) {\n float dyC = float(dyCCorner + wC) / ${s}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ${n} - 1 - wC;\n\n // TO DO: Vec4 over the channelMul\n for (int dm = 0; dm < ${u}; dm++) {\n int d2 = d1 * ${u} + dm;\n float xValue = getDy(batch, idyR, idyC, d2);\n float wValue = getW(wRPerm, wCPerm, d1, dm);\n dotProd += xValue * wValue;\n }\n }\n }\n setOutput(dotProd);\n }\n `}};function Irt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,dy:s}=t,{strides:i,dilations:a,pad:u,dimRoundingMode:l,filterShape:c}=n,p=v.computeConv2DInfo(o.shape,c,i,a,u,l,!0),m=new SC(p);return e.runWebGLProgram(m,[o,s],\"float32\")}var _z={kernelName:gp,backendName:\"webgl\",kernelFunc:Irt};function Srt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,filter:s}=t,{strides:i,dilations:a,pad:u,dimRoundingMode:l,inputShape:c}=n,p=v.computeConv2DInfo(c,s.shape,i,a,u,l,!0),m=new vC(p);return e.runWebGLProgram(m,[o,s],\"float32\")}var Az={kernelName:xp,backendName:\"webgl\",kernelFunc:Srt};var NC=class{constructor(t){this.variableNames=[\"X\"],this.outputShape=[t,t],this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;\n setOutput(val);\n }\n `}};function vrt(r){let{inputs:t,backend:e}=r,{x:n}=t,o=[...n.shape,...n.shape],s=y.sizeFromShape(n.shape),i=st({inputs:{x:n},backend:e,attrs:{shape:[s]}}),a=new NC(s),u=e.runWebGLProgram(a,[i],i.dtype),l=st({inputs:{x:u},backend:e,attrs:{shape:o}});return e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(u),l}var $z={kernelName:yp,backendName:\"webgl\",kernelFunc:vrt};var TC=class{constructor(t){this.variableNames=[\"x\",\"W\"],this.outputShape=t.outShape;let{inHeight:e,inWidth:n,padInfo:o,strideHeight:s,strideWidth:i,filterHeight:a,filterWidth:u,dilationHeight:l,dilationWidth:c}=t,{top:p,left:m}=o;this.userCode=`\n const ivec2 strides = ivec2(${s}, ${i});\n const ivec2 pads = ivec2(${p}, ${m});\n const float neg_infinity = -3.4e38;\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords.x;\n int d1 = coords.w;\n ivec2 outTopLeftCorner =\n coords.yz * strides - pads;\n int hBeg = outTopLeftCorner.x;\n int wBeg = outTopLeftCorner.y;\n\n float curVal = neg_infinity;\n for (int h = 0; h < ${a}; h++) {\n int hIn = hBeg + h * ${l};\n\n if (hIn >= 0 && hIn < ${e}) {\n for (int w = 0; w < ${u}; w++) {\n int wIn = wBeg + w * ${c};\n\n if (wIn >= 0 && wIn < ${n}) {\n float xVal = getX(batch, hIn, wIn, d1);\n float wVal = getW(h, w, d1);\n\n float val = xVal + wVal;\n if (val > curVal) {\n curVal = val;\n }\n }\n }\n }\n }\n\n float result = curVal;\n setOutput(result);\n }\n `}};function Nrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dilations:u}=n,l=v.computeDilation2DInfo(o.shape,s.shape,i,a,\"NHWC\",u),c,p=new TC(l);c=e.runWebGLProgram(p,[o,s],\"float32\");let m=st({inputs:{x:c},backend:e,attrs:{shape:l.outShape}});return e.disposeIntermediateTensorInfo(c),m}var Dz={kernelName:$l,backendName:\"webgl\",kernelFunc:Nrt};function Trt(r){let{inputs:t,backend:e,attrs:n}=r,{equation:o}=n,s=t,{allDims:i,summedDims:a,idDims:u}=v.decodeEinsumEquation(o,s.length);v.checkEinsumDimSizes(i.length,u,s);let{path:l,steps:c}=v.getEinsumComputePath(a,u),p=c.length,m=null,f=i.length,d=[];for(let h=0;h=0&&(m=Wc({inputs:{x:m},backend:e,attrs:{axis:l[h]-(i.length-f),keepDims:!1}}),d.push(m)),f--)}for(let h of d)h!==m&&e.disposeIntermediateTensorInfo(h);return m}var Rz={kernelName:bp,backendName:\"webgl\",kernelFunc:Trt};var krt=\"return (x >= 0.0) ? x : (exp(x) - 1.0);\",Ert=`\n vec4 result;\n\n result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n return result;\n`,_rt=Ct({opSnippet:krt,packedOpSnippet:Ert}),Fz={kernelName:ts,backendName:\"webgl\",kernelFunc:_rt};var Art=\"return (b >= 1.0) ? a : a * (b + 1.0);\",$rt=`\n vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n`,Drt=r=>{let{inputs:t,backend:e}=r,{dy:n,y:o}=t,s=z().getBool(\"WEBGL_PACK_BINARY_OPERATIONS\")?new Oo($rt,n.shape,o.shape):new io(Art,n.shape,o.shape);return e.runWebGLProgram(s,[n,o],n.dtype)},Oz={kernelName:wp,backendName:\"webgl\",kernelFunc:Drt};var Rrt=`\n return vec4(equal(a, b));\n`,Frt=\"return float(a == b);\",Ort=le({opSnippet:Frt,packedOpSnippet:Rrt,dtype:\"bool\",cpuKernelImpl:hL}),Pz={kernelName:xa,backendName:\"webgl\",kernelFunc:Ort};var Prt=`\n // Error function is calculated approximately with elementary function.\n // See \"Handbook of Mathematical Functions with Formulas,\n // Graphs, and Mathematical Tables\", Abramowitz and Stegun.\n float p = ${v.ERF_P};\n float a1 = ${v.ERF_A1};\n float a2 = ${v.ERF_A2};\n float a3 = ${v.ERF_A3};\n float a4 = ${v.ERF_A4};\n float a5 = ${v.ERF_A5};\n\n float sign = sign(x);\n x = abs(x);\n float t = 1.0 / (1.0 + p * x);\n return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));\n`,Lrt=Ct({opSnippet:Prt}),Lz={kernelName:ga,backendName:\"webgl\",kernelFunc:Lrt};var Mrt=Po+`\n return exp(x);\n`,zrt=`\n vec4 result = exp(x);\n bvec4 isNaN = isnan(x);\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,bk=Ct({opSnippet:Mrt,packedOpSnippet:zrt,cpuKernelImpl:gL,dtype:\"float32\"}),Mz={kernelName:es,backendName:\"webgl\",kernelFunc:bk};function kC(r){let{inputs:t,attrs:e,backend:n}=r,{dim:o}=e,{input:s}=t,i=s.shape.length,a=s.shape.slice(),u=o;return o<0&&(y.assert(-(i+1)<=o,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),u=i+o+1),a.splice(u,0,1),st({inputs:{x:s},backend:n,attrs:{shape:a}})}var zz={kernelName:ui,backendName:\"webgl\",kernelFunc:kC};var Bz=\"return exp(x) - 1.0;\",Brt=Ct({opSnippet:Bz,packedOpSnippet:Bz,cpuKernelImpl:xL}),Vz={kernelName:ya,backendName:\"webgl\",kernelFunc:Brt};var og=class{constructor(t,e,n){this.variableNames=[\"real\",\"imag\"];let o=e[1];this.outputShape=e;let s=n?`2.0 * ${Math.PI}`:`-2.0 * ${Math.PI}`,i=n?`${o}.0`:\"1.0\",a;if(t===\"real\")a=\"return real * expR - imag * expI;\";else if(t===\"imag\")a=\"return real * expI + imag * expR;\";else throw new Error(`FFT component must be either \"real\" or \"imag\", got ${t}.`);this.userCode=`\n const float exponentMultiplier = ${s};\n\n float unaryOpComplex(float real, float expR, float imag, float expI) {\n ${a}\n }\n\n float mulMatDFT(int batch, int index) {\n float indexRatio = float(index) / float(${o});\n float exponentMultiplierTimesIndexRatio =\n exponentMultiplier * indexRatio;\n\n float result = 0.0;\n\n for (int i = 0; i < ${o}; i++) {\n // x = (-2|2 * PI / N) * index * i;\n float x = exponentMultiplierTimesIndexRatio * float(i);\n float expR = cos(x);\n float expI = sin(x);\n float real = getReal(batch, i);\n float imag = getImag(batch, i);\n\n result +=\n unaryOpComplex(real, expR, imag, expI) / ${i};\n }\n\n return result;\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n setOutput(mulMatDFT(coords[0], coords[1]));\n }\n `}};function EC(r,t,e){let n=e.texData.get(r.dataId),o=y.sizeFromShape(r.shape),s=r.shape[r.shape.length-1],i=o/s,a=st({inputs:{x:r},backend:e,attrs:{shape:[i,s]}}),u=a.shape,l=new og(\"real\",u,t),c=new og(\"imag\",u,t),p=[{dataId:n.complexTensorInfos.real.dataId,dtype:n.complexTensorInfos.real.dtype,shape:u},{dataId:n.complexTensorInfos.imag.dataId,dtype:n.complexTensorInfos.imag.dtype,shape:u}],m=e.runWebGLProgram(l,p,\"float32\"),f=e.runWebGLProgram(c,p,\"float32\"),d=En({inputs:{real:m,imag:f},backend:e});e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f);let h=st({inputs:{x:d},backend:e,attrs:{shape:r.shape}});return e.disposeIntermediateTensorInfo(a),e.disposeIntermediateTensorInfo(d),h}function Vrt(r){let{inputs:t,backend:e}=r,{input:n}=t;return EC(n,!1,e)}var Gz={kernelName:Cp,backendName:\"webgl\",kernelFunc:Vrt};var _C=class{constructor(t,e){this.outputShape=[],this.customUniforms=[{name:\"value\",type:\"float\"}],this.variableNames=[\"x\"],this.outputShape=t,this.userCode=`\n void main() {\n // Input can be obtained from uniform value.\n setOutput(value);\n }\n `}};function Cl(r){let{backend:t,attrs:e}=r,{shape:n,value:o}=e,{dtype:s}=e;if(s=s||y.inferDtype(o),s===\"string\"){let i=y.getArrayFromDType(s,y.sizeFromShape(n));return i.fill(o),t.makeTensorInfo(n,s,i)}else{let i=new _C(n,o),a=[[o]];return t.runWebGLProgram(i,[],s,a)}}var Wz={kernelName:Dl,backendName:\"webgl\",kernelFunc:Cl};var AC=class{constructor(t){this.variableNames=[\"Image\"],this.outputShape=[];let e=t[2];this.outputShape=t,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int x = coords[2];\n\n int coordX = ${e} - x - 1;\n float outputValue;\n if(coordX >= 0 && coordX < ${e}) {\n outputValue = getImage(coords[0], coords[1], coordX, coords[3]);\n } else {\n outputValue = getImage(coords[0], coords[1], coords[2], coords[3]);\n }\n setOutput(outputValue);\n }\n `}};var Uz={kernelName:ba,backendName:\"webgl\",kernelFunc:({inputs:r,backend:t})=>{let{image:e}=r,n=t,o=new AC(e.shape);return n.runWebGLProgram(o,[e],e.dtype)}};var Hz=\"return floor(x);\",Grt=Ct({opSnippet:Hz,packedOpSnippet:Hz,cpuKernelImpl:yL}),qz={kernelName:rs,backendName:\"webgl\",kernelFunc:Grt};var Wrt=`\n float s = sign(a) * sign(b);\n int ia = round(a);\n int ib = round(b);\n if (ib != 0) {\n // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n return float(idiv(ia, ib, s));\n } else {\n return NAN;\n }\n`,Urt=`\n ivec4 ia = round(a);\n ivec4 ib = round(b);\n bvec4 cond = notEqual(ib, ivec4(0));\n ivec4 result = ivec4(0);\n vec4 s = sign(a) * sign(b);\n\n // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n if (cond[0]) {\n result[0] = idiv(ia[0], ib[0], s[0]);\n }\n if (cond[1]) {\n result[1] = idiv(ia[1], ib[1], s[1]);\n }\n if (cond[2]) {\n result[2] = idiv(ia[2], ib[2], s[2]);\n }\n if (cond[3]) {\n result[3] = idiv(ia[3], ib[3], s[3]);\n }\n return vec4(result);\n`,Hrt=le({opSnippet:Wrt,packedOpSnippet:Urt,dtype:\"int32\"}),Kz={kernelName:ns,backendName:\"webgl\",kernelFunc:Hrt};var $C=class{constructor(t){this.variableNames=[\"A\"];let e=Ge(),[n,o]=t;this.outputShape=t,this.userCode=`\n void main() {\n ivec3 coords = getOutputCoords();\n int texR = coords[0];\n int texC = coords[1];\n int depth = coords[2];\n vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${o}.0, ${n}.0);\n\n vec4 values = ${e.texture2D}(A, uv);\n float value;\n if (depth == 0) {\n value = values.r;\n } else if (depth == 1) {\n value = values.g;\n } else if (depth == 2) {\n value = values.b;\n } else if (depth == 3) {\n value = values.a;\n }\n\n setOutput(floor(value * 255.0 + 0.5));\n }\n `}};var DC=class{constructor(t){this.variableNames=[\"A\"],this.packedInputs=!1,this.packedOutput=!0;let e=Ge(),[n,o]=t;this.outputShape=t,this.userCode=`\n void main() {\n ivec3 coords = getOutputCoords();\n int texR = coords[0];\n int texC = coords[1];\n int depth = coords[2];\n\n vec4 result = vec4(0.);\n\n for(int row=0; row<=1; row++) {\n for(int col=0; col<=1; col++) {\n texC = coords[1] + row;\n depth = coords[2] + col;\n\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2(${o}.0, ${n}.0);\n vec4 values = ${e.texture2D}(A, uv);\n float value;\n if (depth == 0) {\n value = values.r;\n } else if (depth == 1) {\n value = values.g;\n } else if (depth == 2) {\n value = values.b;\n } else if (depth == 3) {\n value = values.a;\n }\n\n result[row * 2 + col] = floor(value * 255.0 + 0.5);\n }\n }\n\n ${e.output} = result;\n }\n `}};var jz={kernelName:Yd,backendName:\"webgl\",kernelFunc:qrt},Ad,wk=z().getBool(\"CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU\");function qrt(r){let{inputs:t,backend:e,attrs:n}=r,{pixels:o}=t,{numChannels:s}=n,i=typeof HTMLVideoElement!=\"undefined\"&&o instanceof HTMLVideoElement,a=typeof HTMLImageElement!=\"undefined\"&&o instanceof HTMLImageElement,[u,l]=i?[o.videoWidth,o.videoHeight]:[o.width,o.height],c=[l,u],p=[l,u,s];if(a||i){let h=z().getBool(\"CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU\");(Ad==null||h!==wk)&&(wk=h,Ad=document.createElement(\"canvas\").getContext(\"2d\",{willReadFrequently:wk})),Ad.canvas.width=u,Ad.canvas.height=l,Ad.drawImage(o,0,0,u,l),o=Ad.canvas}let m=e.makeTensorInfo(c,\"int32\");e.texData.get(m.dataId).usage=jr.PIXELS,e.gpgpu.uploadPixelDataToTexture(e.getTexture(m.dataId),o);let f=z().getBool(\"WEBGL_PACK\")?new DC(p):new $C(p),d=e.runWebGLProgram(f,[m],\"int32\");return e.disposeData(m.dataId),d}function Krt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=n,h=v.convertConv2DDataFormat(c),g=v.computeConv2DInfo(o.shape,s.shape,u,p,l,m,!1,h),x,b=[],w=i!=null,C=a!=null,N=f===\"leakyrelu\",_=()=>{let $=[o,s],F=(P,V)=>{if(V===\"NCHW\"&&P.shape.length===1&&P.shape[0]!==1){let G=st({inputs:{x:P},backend:e,attrs:{shape:[P.shape[0],1,1]}});return b.push(G),G}return P};if(w&&$.push(F(i,c)),C&&$.push(F(a,c)),N){let P=e.makeTensorInfo([],\"float32\",y.createScalarValue(d,\"float32\"));$.push(P),b.push(P)}return $};if(g.filterHeight===1&&g.filterWidth===1&&g.dilationHeight===1&&g.dilationWidth===1&&g.strideHeight===1&&g.strideWidth===1&&(g.padInfo.type===\"SAME\"||g.padInfo.type===\"VALID\"))x=dC({x:o,filter:s,convInfo:g,backend:e,bias:i,activation:f,preluActivationWeights:a,leakyreluAlpha:d});else if(g.strideWidth<=2&&h===\"channelsLast\"&&z().getBool(\"WEBGL_EXP_CONV\")){let $=f?bl(f,!0):null,F=new kd(g,w,$,C,N),P=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],V=_();x=e.runWebGLProgram(F,V,\"float32\",P)}else if(z().getBool(\"WEBGL_CONV_IM2COL\"))x=hC({x:o,filter:s,convInfo:g,backend:e,bias:i,activation:f,preluActivationWeights:a,leakyreluAlpha:d});else{let $=f?bl(f,!1):null,F=new Td(g,w,$,C,N),P=_();x=e.runWebGLProgram(F,P,\"float32\")}let A=st({inputs:{x},backend:e,attrs:{shape:g.outShape}});return b.push(x),b.forEach($=>e.disposeIntermediateTensorInfo($)),A}var Xz={kernelName:Ii,backendName:\"webgl\",kernelFunc:Krt};function jrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dilations:c,dimRoundingMode:p,activation:m,leakyreluAlpha:f}=n,d=[],h=c;h==null&&(h=[1,1]),y.assert(v.eitherStridesOrDilationsAreOne(u,h),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${u} and dilations '${h}'`);let g=v.computeConv2DInfo(o.shape,s.shape,u,h,l,p,!0),x=z().getBool(\"WEBGL_PACK_DEPTHWISECONV\")&&g.strideWidth<=2&&g.outChannels/g.inChannels===1,b=m?bl(m,x):null,w=[o,s],C=i!=null,N=a!=null,_=m===\"leakyrelu\";if(C&&w.push(i),N&&w.push(a),_){let P=e.makeTensorInfo([],\"float32\",y.createScalarValue(f,\"float32\"));w.push(P),d.push(P)}let A;x?A=new _d(g,C,b,N,_):A=new Ed(g,C,b,N,_);let $=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],F=e.runWebGLProgram(A,w,\"float32\",$);return d.forEach(P=>e.disposeIntermediateTensorInfo(P)),F}var Yz={kernelName:Si,backendName:\"webgl\",kernelFunc:jrt};var RC=class{constructor(t,e,n,o){this.sliceDim=t,this.strides=e,this.paramsShape=o,this.variableNames=[\"x\",\"indices\"],this.outputShape=n;let s=zt(n.length),i=`\n int index;`;for(let a=0;a= ${this.paramsShape[a]};\n flattenIndex += index * ${this.strides[a]};`;this.userCode=`\n void main() {\n ${s} coords = getOutputCoords();\n int flattenIndex = 0;\n bool out_of_bounds = false;\n\n ${i}\n\n setOutput(out_of_bounds ? 0.0 : getX(flattenIndex, coords[1]));\n }\n `}};function Xrt(r){let{inputs:t,backend:e}=r,{params:n,indices:o}=t,s=o.shape,i=s[s.length-1],a=y.sizeFromShape(n.shape),[u,l,c,p]=v.prepareAndValidate(n,o),m=st({inputs:{x:o},backend:e,attrs:{shape:[l,i]}}),f=st({inputs:{x:n},backend:e,attrs:{shape:[y.sizeFromShape(n.shape)/c,c]}});if(e.shouldExecuteOnCPU([n,o])||n.dtype===\"string\"){let x=e.readSync(o.dataId),b=e.bufferSync(n),w=bL(x,b,n.dtype,l,i,c,p,n.shape,a);return e.makeTensorInfo(u,n.dtype,w.values)}let d=new RC(i,p,[l,c],n.shape),h=e.runWebGLProgram(d,[f,m],f.dtype),g=st({inputs:{x:h},backend:e,attrs:{shape:u}});return e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(h),g}var Zz={kernelName:wa,backendName:\"webgl\",kernelFunc:Xrt};var FC=class{constructor(t,e){this.variableNames=[\"A\",\"indices\"],this.outputShape=e,this.rank=e.length;let n=zt(this.rank),o=Yrt(t,2);this.userCode=`\n void main() {\n ${n} resRC = getOutputCoords();\n int index = int(getIndices(resRC.x, resRC.z));\n float inBounds = (index >= 0) && (index < ${t[2]}) ? 1.0 : 0.0;\n setOutput(inBounds * getA(${o}));\n }\n `}};function Yrt(r,t){let e=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],n=[];for(let o=0;o=0,()=>`GatherV2: the index value ${N} is not in [0, ${w-1}]`)}}let l=v.segment_util.collectGatherOpShapeInfo(o,s,u,a),c=y.sizeFromShape(s.shape),p=[],m=st({inputs:{x:o},backend:e,attrs:{shape:[l.batchSize,l.outerSize,l.dimSize,l.sliceSize]}}),f=st({inputs:{x:s},backend:e,attrs:{shape:[l.batchSize,c/l.batchSize]}});p.push(m),p.push(f);let d=[l.batchSize,l.outerSize,c/l.batchSize,l.sliceSize];if(e.shouldExecuteOnCPU([o,s])||o.dtype===\"string\"){let b=e.bufferSync(f),w=e.bufferSync(m),C=wL(w,b,d);return p.forEach(N=>e.disposeIntermediateTensorInfo(N)),e.makeTensorInfo(l.outputShape,C.dtype,C.values)}let h=new FC(m.shape,d),g=e.runWebGLProgram(h,[m,f],m.dtype);p.push(g);let x=st({inputs:{x:g},backend:e,attrs:{shape:l.outputShape}});return p.forEach(b=>e.disposeIntermediateTensorInfo(b)),x}var Jz={kernelName:ci,backendName:\"webgl\",kernelFunc:Ck};var Zrt=\"return float(a > b);\",Jrt=`\n return vec4(greaterThan(a, b));\n`,Qrt=le({opSnippet:Zrt,packedOpSnippet:Jrt,cpuKernelImpl:CL,dtype:\"bool\"}),Qz={kernelName:Ca,backendName:\"webgl\",kernelFunc:Qrt};var tnt=\"return float(a >= b);\",ent=`\n return vec4(greaterThanEqual(a, b));\n`,rnt=le({opSnippet:tnt,packedOpSnippet:ent,dtype:\"bool\",cpuKernelImpl:IL}),t3={kernelName:ss,backendName:\"webgl\",kernelFunc:rnt};function nnt(r){let{inputs:t,backend:e}=r,{input:n}=t;return EC(n,!0,e)}var e3={kernelName:Ip,backendName:\"webgl\",kernelFunc:nnt};var ont=\"return float(!isnan(x) && !isinf(x));\",snt=Ct({opSnippet:ont,dtype:\"bool\"}),r3={kernelName:Ia,backendName:\"webgl\",kernelFunc:snt};var int=\"return float(isinf(x));\",ant=Ct({opSnippet:int,dtype:\"bool\"}),n3={kernelName:Sa,backendName:\"webgl\",kernelFunc:ant};var lnt=\"return float(isnan(x));\",unt=Ct({opSnippet:lnt,dtype:\"bool\"}),o3={kernelName:va,backendName:\"webgl\",kernelFunc:unt};var cnt=\"return float(a < b);\",pnt=`\n return vec4(lessThan(a, b));\n`,mnt=le({opSnippet:cnt,packedOpSnippet:pnt,cpuKernelImpl:SL,dtype:\"bool\"}),s3={kernelName:Na,backendName:\"webgl\",kernelFunc:mnt};var fnt=\"return float(a <= b);\",dnt=`\n return vec4(lessThanEqual(a, b));\n`,hnt=le({opSnippet:fnt,packedOpSnippet:dnt,cpuKernelImpl:vL,dtype:\"bool\"}),i3={kernelName:Ta,backendName:\"webgl\",kernelFunc:hnt};function gnt(r){let{backend:t,attrs:e}=r,{start:n,stop:o,num:s}=e,i=NL(n,o,s);return t.makeTensorInfo([i.length],\"float32\",i)}var a3={kernelName:vp,backendName:\"webgl\",kernelFunc:gnt};var xnt=Po+`\n return x < 0.0 ? 0./0. : log(x);\n`,ynt=`\n vec4 result = log(x);\n bvec4 isNaN = isnan(x);\n result.r = isNaN.r ? x.r : (x.r < 0.0 ? 0./0. : result.r);\n result.g = isNaN.g ? x.g : (x.g < 0.0 ? 0./0. : result.g);\n result.b = isNaN.b ? x.b : (x.b < 0.0 ? 0./0. : result.b);\n result.a = isNaN.a ? x.a : (x.a < 0.0 ? 0./0. : result.a);\n return result;\n`,bnt=Ct({opSnippet:xnt,packedOpSnippet:ynt,cpuKernelImpl:TL}),l3={kernelName:as,backendName:\"webgl\",kernelFunc:bnt};var wnt=Po+`\n return log(1.0 + x);\n`,Cnt=Ct({opSnippet:wnt}),u3={kernelName:ka,backendName:\"webgl\",kernelFunc:Cnt};var Int=\"return float(a >= 1.0 && b >= 1.0);\",Snt=`\n return vec4(\n vec4(greaterThanEqual(a, vec4(1.0))) *\n vec4(greaterThanEqual(b, vec4(1.0))));\n`,vnt=le({opSnippet:Int,packedOpSnippet:Snt,dtype:\"bool\"}),c3={kernelName:Ea,backendName:\"webgl\",kernelFunc:vnt};var Nnt=\"return float(!(x >= 1.0));\",Tnt=Ct({opSnippet:Nnt}),p3={kernelName:_a,backendName:\"webgl\",kernelFunc:Tnt};var knt=\"return float(a >= 1.0 || b >= 1.0);\",Ent=`\n return min(\n vec4(greaterThanEqual(a, vec4(1.0))) +\n vec4(greaterThanEqual(b, vec4(1.0))),\n vec4(1.0));\n`,_nt=le({opSnippet:knt,packedOpSnippet:Ent,dtype:\"bool\"}),m3={kernelName:Aa,backendName:\"webgl\",kernelFunc:_nt};var OC=class{constructor(t,e,n,o,s){this.variableNames=[\"x\"],this.outputShape=[];let i=e,a=t[3]-1;this.outputShape=t;let u,l=`float(${n}) + float(${o}) * sum`;s===.5?u=`inversesqrt(${l})`:s===1?u=`1.0/(${l})`:u=`exp(log(${l}) * float(-${s}));`,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int r = coords[1];\n int c = coords[2];\n int d = coords[3];\n float x = getX(b, r, c, d);\n float sum = 0.0;\n for (int j = -${i}; j <= ${i}; j++) {\n int idx = d + j;\n if (idx >= 0 && idx <= ${a}) {\n float z = getX(b, r, c, idx);\n sum += z * z;\n }\n }\n float val = x * ${u};\n setOutput(val);\n }\n `}};var PC=class{constructor(t,e,n,o,s){this.variableNames=[\"x\"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let i=e,a=t[3]-1;this.outputShape=t;let u,l=`float(${n}) + float(${o}) * sum`;s===.5?u=`inversesqrt(${l})`:s===1?u=`1.0/(${l})`:u=`exp(log(${l}) * float(-${s}));`,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords.x;\n int r = coords.y;\n int c = coords.z;\n int d = coords.w;\n\n bool hasNextCol = d < ${this.outputShape[3]};\n bool hasNextRow = c < ${this.outputShape[2]};\n\n vec4 sum = vec4(0.);\n vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n vec4 xAtOutputCoords = vec4(\n getChannel(xFragAtOutputCoords, vec2(c, d)),\n hasNextCol ?\n getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n hasNextRow ?\n getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n (hasNextRow && hasNextCol) ?\n getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n );\n\n int firstChannel = d - ${i};\n vec2 cache = vec2(0.);\n if(firstChannel >= 0){\n vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n if(hasNextRow){\n cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n }\n }\n\n ivec2 depth = ivec2(d, d + 1);\n for (int j = - ${i}; j <= ${i}; j++) {\n ivec2 idx = depth + j;\n bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n bvec2 belowUpperBound = lessThanEqual(idx, ivec2(${a}));\n\n bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n if(depthInRange || depthPlusOneInRange){\n vec4 z = vec4(0.);\n vec4 xFragAtCurrentDepth;\n z.xz = cache.xy;\n if(depthPlusOneInRange && hasNextCol){\n xFragAtCurrentDepth = idx.y != d ?\n getX(b, r, c, idx.y) : xFragAtOutputCoords;\n z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n if(hasNextRow){\n z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n }\n }\n cache.xy = z.yw;\n sum += z * z;\n }\n }\n vec4 result = xAtOutputCoords * ${u};\n setOutput(result);\n }\n `}};var Ant=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{depthRadius:s,bias:i,alpha:a,beta:u}=n,l=z().getBool(\"WEBGL_PACK_NORMALIZATION\")?new PC(o.shape,s,i,a,u):new OC(o.shape,s,i,a,u);return e.runWebGLProgram(l,[o],o.dtype)},f3={kernelName:Rl,backendName:\"webgl\",kernelFunc:Ant};var LC=class{constructor(t,e,n,o,s){this.variableNames=[\"inputImage\",\"outputImage\",\"dy\"],this.outputShape=[],this.outputShape=t,this.depth=t[3],this.depthRadius=e,this.bias=n,this.alpha=o,this.beta=s,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int r = coords[1];\n int c = coords[2];\n\n float result = 0.0;\n for (int d = 0; d < ${this.depth}; ++d) {\n int depthBegin = int(max(0.0, float(d - ${e})));\n int depthEnd = int(min(float(${this.depth}),\n float(d + ${e} + 1)));\n\n const int MIN_DEPTH_BEGIN = 0;\n const int MAX_DEPTH_END = ${this.depth};\n\n float norm = 0.0;\n for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n if (k < depthBegin){\n continue;\n }\n else if (k >= depthBegin && k < depthEnd) {\n norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n }\n else {\n break;\n }\n }\n\n norm = float(${o}) * norm + float(${n});\n\n for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n if (k < depthBegin){\n continue;\n }\n else if (k >= depthBegin && k < depthEnd){\n float dyi = -2.0 * float(${o})\n * float(${s})\n * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n / norm;\n if (k == d) {\n dyi += pow(norm, -1.0 * ${s});\n }\n if (k == coords[3]) {\n dyi *= getDy(b, r, c, d);\n result += dyi;\n }\n }\n else {\n break;\n }\n }\n }\n setOutput(result);\n }\n `}};var $nt=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o,y:s,dy:i}=t,{depthRadius:a,bias:u,alpha:l,beta:c}=n,p=new LC(o.shape,a,u,l,c);return e.runWebGLProgram(p,[o,s,i],o.dtype)},d3={kernelName:Np,backendName:\"webgl\",kernelFunc:$nt};function h3(r,t,e,n){let o=y.sizeFromShape(t),i=y.sizeFromShape(r.shape)/o,a=st({inputs:{x:r},attrs:{shape:[i,o]},backend:n}),u=Un(a,r.dtype,\"max\",n),l=st({inputs:{x:u},attrs:{shape:e},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(u),l}function Ik(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{reductionIndices:s,keepDims:i}=n,a=o.shape.length,u=y.parseAxisParam(s,o.shape),l=u,c=v.getAxesPermutation(l,a),p=c!=null,m=e.shouldExecuteOnCPU([o]),f=o;if(p){if(m){let w=e.texData.get(f.dataId).values,C=new Array(a);for(let A=0;A`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);let c=v.computePool2DInfo(o.shape,s,i,l,a,u);if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))return tr({inputs:{x:o},backend:e});let p=new ei(c,\"max\",!1);return e.runWebGLProgram(p,[o],o.dtype)}var y3={kernelName:cs,backendName:\"webgl\",kernelFunc:Ont};function Pnt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{filterSize:s,strides:i,pad:a,dataFormat:u,dimRoundingMode:l}=n,c=[1,1,1],p=v.computePool3DInfo(o.shape,s,i,c,a,l,u),m=new $u(p,\"max\",!1);return e.runWebGLProgram(m,[o],o.dtype)}var b3={kernelName:Fl,backendName:\"webgl\",kernelFunc:Pnt};var MC=class{constructor(t){this.variableNames=[\"dy\",\"maxPos\"],this.outputShape=t.inShape;let e=t.strideHeight,n=t.strideWidth,o=t.dilationHeight,s=t.effectiveFilterHeight,i=t.effectiveFilterWidth,a=s-1-t.padInfo.top,u=i-1-t.padInfo.left,l=s*i-1;this.userCode=`\n const ivec2 pads = ivec2(${a}, ${u});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n\n ivec2 dyRCCorner = coords.yz - pads;\n int dyRCorner = dyRCCorner.x;\n int dyCCorner = dyRCCorner.y;\n\n // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${s};\n wR += ${o}) {\n float dyR = float(dyRCorner + wR) / ${e}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${i}; wC++) {\n float dyC = float(dyCCorner + wC) / ${n}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(b, idyR, idyC, d);\n int maxPosValue = ${l} - int(getMaxPos(b, idyR, idyC, d));\n\n // Get the current value, check it against the value from the\n // position matrix.\n int curPosValue = wR * ${i} + wC;\n float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n dotProd += dyValue * mask;\n }\n }\n setOutput(dotProd);\n }\n `}},zC=class{constructor(t){this.variableNames=[\"dy\",\"maxPos\"],this.outputShape=t.inShape;let e=t.strideDepth,n=t.strideHeight,o=t.strideWidth,s=t.dilationDepth,i=t.dilationHeight,a=t.dilationWidth,u=t.effectiveFilterDepth,l=t.effectiveFilterHeight,c=t.effectiveFilterWidth,p=u-1-t.padInfo.front,m=l-1-t.padInfo.top,f=c-1-t.padInfo.left,d=u*l*c-1;this.userCode=`\n const ivec3 pads = ivec3(${p}, ${m}, ${f});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyDCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n // dx(xD, xR, xC, ch).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int wD = 0; wD < ${u};\n wD += ${s}) {\n float dyD = float(dyDCorner + wD) / ${e}.0;\n\n if (dyD < 0.0 || dyD >= ${t.outDepth}.0 || fract(dyD) > 0.0) {\n continue;\n }\n int idyD = int(dyD);\n\n for (int wR = 0; wR < ${l};\n wR += ${i}) {\n float dyR = float(dyRCorner + wR) / ${n}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${c};\n wC += ${a}) {\n float dyC = float(dyCCorner + wC) / ${o}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n int maxPosValue = ${d} -\n int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n // Get the current value, check it against the value from the\n // position matrix.\n int curPosValue =\n wD * ${l} * ${c} +\n wR * ${c} + wC;\n float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n dotProd += dyValue * mask;\n }\n }\n }\n setOutput(dotProd);\n }\n `}};function Lnt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s,{filterSize:a,strides:u,pad:l,dimRoundingMode:c}=n,p=[1,1,1],m=v.computePool3DInfo(i.shape,a,u,p,l,c),f=new $u(m,\"max\",!0),d=e.runWebGLProgram(f,[i],i.dtype),h=new zC(m),g=e.runWebGLProgram(h,[o,d],i.dtype);return e.disposeIntermediateTensorInfo(d),g}var w3={kernelName:kp,backendName:\"webgl\",kernelFunc:Lnt};function Mnt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s,output:i}=t,a=s;Qs([s,i],\"maxPoolGrad\");let{filterSize:u,strides:l,pad:c,dimRoundingMode:p}=n,m=v.computePool2DInfo(a.shape,u,l,1,c,p),f=!0,d=new ei(m,\"max\",f),h=e.runWebGLProgram(d,[a],a.dtype),g=new MC(m),x=e.runWebGLProgram(g,[o,h],a.dtype);return e.disposeIntermediateTensorInfo(h),x}var C3={kernelName:Tp,backendName:\"webgl\",kernelFunc:Mnt};function I3(r,t,e,n){let o=new ei(e,\"max\",!1),s=n.runWebGLProgram(o,[r],\"float32\");o=new ei(e,\"max\",!0,!0,t);let i=n.runWebGLProgram(o,[r],\"float32\");return[s,i]}var S3={kernelName:Ep,backendName:\"webgl\",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{x:n}=r,{filterSize:o,strides:s,pad:i,includeBatchInIndex:a}=t,u=e;y.assert(n.shape.length===4,()=>`Error in maxPool: input must be rank 4 but got rank ${n.shape.length}.`);let l=[1,1];y.assert(v.eitherStridesOrDilationsAreOne(s,l),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${l}'`);let c=v.computePool2DInfo(n.shape,o,s,l,i),[p,m]=I3(n,a,c,u);return[p,m]}};function v3(r,t,e,n){let o=y.sizeFromShape(t),i=y.sizeFromShape(r.shape)/o,a=st({inputs:{x:r},attrs:{shape:[i,o]},backend:n}),u=Un(a,\"float32\",\"mean\",n),l=st({inputs:{x:u},attrs:{shape:e},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(u),l}var N3={kernelName:ps,backendName:\"webgl\",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{x:n}=r,{keepDims:o,axis:s}=t,i=e,a=n.shape.length,u=y.parseAxisParam(s,n.shape),l=u,c=v.getAxesPermutation(l,a),p=c!=null,m=i.shouldExecuteOnCPU([n]),f=[],d=n;if(p){if(m){let C=i.texData.get(d.dataId).values,N=new Array(a);for(let $=0;$c[0]+t[p]+c[1]);let o=t.length,s=zt(o),i=e.map(c=>c[0]).join(\",\"),a=e.map((c,p)=>c[0]+t[p]).join(\",\"),u=[\"coords[0]\",\"coords[1]\",\"coords[2]\",\"coords[3]\"].slice(0,o),l=n===\"reflect\"?0:1;if(o===1){this.userCode=`\n int start = ${i};\n int end = ${a};\n\n void main() {\n int outC = getOutputCoords();\n if (outC < start) {\n outC = start * 2 - outC - ${l};\n } else if(outC >= end) {\n outC = (end - 1) * 2 - outC + ${l};\n }\n setOutput(getX(outC - start));\n }\n `;return}this.userCode=`\n ${s} start = ${s}(${i});\n ${s} end = ${s}(${a});\n\n void main() {\n ${s} outC = getOutputCoords();\n for (int i = 0; i < ${o}; i++) {\n if (outC[i] < start[i]) {\n outC[i] = start[i] * 2 - outC[i] - ${l};\n } else if(outC[i] >= end[i]) {\n outC[i] = (end[i] - 1) * 2 - outC[i] + ${l};\n }\n }\n ${s} coords = outC - start;\n setOutput(getX(${u}));\n }\n `}};var VC=class{constructor(t,e,n){this.variableNames=[\"x\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.map((d,h)=>d[0]+t[h]+d[1]);let o=t.length,s=zt(o),i=e.map(d=>d[0]).join(\",\"),a=e.map((d,h)=>d[0]+t[h]).join(\",\"),u=Qe(\"rc\",o),l=Qe(\"source\",o),c=`${u[o-1]} < ${this.outputShape[o-1]}`,p=o===1?\"source\":`vec2(${l.slice(-2).join()})`,m=n===\"reflect\"?0:1,f=\"\";if(o===1){let d=`\n ${s} source = rc;\n if (source < start) {\n source = start * 2 - source - ${m};\n } else if (source >= end) {\n source = (end - 1) * 2 - source + ${m};\n }\n source -= start;\n `;f=`\n ${s} rc = outputLoc;\n ${d}\n result[0] = getChannel(getX(${l.join()}), ${p});\n ${u[o-1]} += 1;\n if(${c}) {\n ${d}\n result[1] = getChannel(getX(${l.join()}), ${p});\n }\n `}else{let d=`\n ${s} source = rc;\n ${s} lt = ${s}(lessThan(source, start));\n ${s} gte = ${s}(greaterThanEqual(source, end));\n ${s} orig = 1 - (lt + gte);\n source = orig * source +\n lt * (start * 2 - source - ${m}) +\n gte * ((end - 1) * 2 - source + ${m});\n source -= start;\n `;f=`\n ${s} rc = outputLoc;\n ${d}\n result[0] = getChannel(getX(${l.join()}), ${p});\n ${u[o-1]} += 1;\n if(${c}) {\n ${d}\n result[1] = getChannel(getX(${l.join()}), ${p});\n }\n rc = outputLoc;\n ${u[o-2]} += 1;\n if(${u[o-2]} < ${this.outputShape[o-2]}) {\n ${d}\n result[2] = getChannel(getX(${l.join()}), ${p});\n ${u[o-1]} += 1;\n if(${c}) {\n ${d}\n result[3] = getChannel(getX(${l.join()}), ${p});\n }\n }\n `}this.userCode=`\n const ${s} start = ${s}(${i});\n const ${s} end = ${s}(${a});\n\n void main() {\n ${s} outputLoc = getOutputCoords();\n vec4 result = vec4(0.);\n ${f}\n setOutput(result);\n }\n `}};var Wnt=({inputs:r,backend:t,attrs:e})=>{let{x:n}=r,{paddings:o,mode:s}=e,i=z().getBool(\"WEBGL_PACK_ARRAY_OPERATIONS\")?new VC(n.shape,o,s):new BC(n.shape,o,s);return t.runWebGLProgram(i,[n],n.dtype)},E3={kernelName:ds,backendName:\"webgl\",kernelFunc:Wnt};var Unt=`if (b == 0.0) return NAN;\n return mod(a, b);`,Hnt=`\n vec4 result = mod(a, b);\n bvec4 isNaN = equal(b, vec4(0.0));\n `+Yi+`\n return result;\n`,qnt=le({opSnippet:Unt,packedOpSnippet:Hnt}),_3={kernelName:$a,backendName:\"webgl\",kernelFunc:qnt};var GC=class{constructor(t,e,n){this.variableNames=[\"probs\"],this.customUniforms=[{name:\"seed\",type:\"float\"}],this.outputShape=[t,n],this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n\n float r = random(seed);\n float cdf = 0.0;\n\n for (int i = 0; i < ${e-1}; i++) {\n cdf += getProbs(batch, i);\n\n if (r < cdf) {\n setOutput(float(i));\n return;\n }\n }\n\n // If no other event happened, last event happened.\n setOutput(float(${e-1}));\n }\n `}};var Knt=`\nif (a == b) {\n return 1.0;\n};\nreturn a / b;`,jnt=`\n // vec4 one = vec4(equal(a, b));\n // return one + (vec4(1.0) - one) * a / b;\n vec4 result = a / b;\n if(a.x == b.x) {\n result.x = 1.;\n }\n if(a.y == b.y) {\n result.y = 1.;\n }\n if(a.z == b.z) {\n result.z = 1.;\n }\n if(a.w == b.w) {\n result.w = 1.;\n }\n\n return result;\n`,Sk=le({opSnippet:Knt,packedOpSnippet:jnt,checkOutOfBounds:!0}),A3={kernelName:Qo,backendName:\"webgl\",kernelFunc:Sk};var $3=\"return a - b;\",vk=le({opSnippet:$3,packedOpSnippet:$3,supportsComplex:!0,cpuKernelImpl:XL}),D3={kernelName:Fs,backendName:\"webgl\",kernelFunc:vk};function Nk(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{dim:s}=n,i=y.parseAxisParam([s],o.shape),a=Ik({inputs:{x:o},backend:e,attrs:{reductionIndices:i,keepDims:!1}}),u=v.expandShapeToKeepDim(a.shape,i),l=st({inputs:{x:a},backend:e,attrs:{shape:u}}),c=vk({inputs:{a:o,b:l},backend:e}),p=bk({inputs:{x:c},backend:e}),m=Wc({inputs:{x:p},backend:e,attrs:{axis:i,keepDims:!1}}),f=st({inputs:{x:m},backend:e,attrs:{shape:u}}),d=Sk({inputs:{a:p,b:f},backend:e});return e.disposeIntermediateTensorInfo(a),e.disposeIntermediateTensorInfo(l),e.disposeIntermediateTensorInfo(c),e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f),d}var R3={kernelName:Ds,backendName:\"webgl\",kernelFunc:Nk};function Xnt(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{numSamples:s,seed:i,normalized:a}=n,u=a?o:Nk({inputs:{logits:o},backend:e,attrs:{dim:o.shape.length-1}}),l=u.shape[0],c=u.shape[1],p=new GC(l,c,s),m=[[i]],f=e.runWebGLProgram(p,[u],\"int32\",m);return a||e.disposeIntermediateTensorInfo(u),f}var F3={kernelName:_p,backendName:\"webgl\",kernelFunc:Xnt};var Ynt=fr+`\n return -x;\n`,Znt=`\n vec4 result = -x;\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`;function Jnt(r){let{inputs:t,backend:e}=r,{x:n}=t;if(e.shouldExecuteOnCPU([n])){let s=e.texData.get(n.dataId),[i,a]=$L(s.values,n.shape,n.dtype);return e.makeTensorInfo(a,n.dtype,i)}let o;return z().getBool(\"WEBGL_PACK_UNARY_OPERATIONS\")?o=new so(n.shape,Znt):o=new tn(n.shape,Ynt),e.runWebGLProgram(o,[n],n.dtype)}var O3={kernelName:pi,backendName:\"webgl\",kernelFunc:Jnt};var Qnt=Ur.nonMaxSuppressionV3Impl;function tot(r){v.warn(\"tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead\");let{inputs:t,backend:e,attrs:n}=r,{boxes:o,scores:s}=t,{maxOutputSize:i,iouThreshold:a,scoreThreshold:u}=n,l=e.readSync(o.dataId),c=e.readSync(s.dataId),{selectedIndices:p}=Qnt(l,c,i,a,u);return e.makeTensorInfo([p.length],\"int32\",new Int32Array(p))}var P3={kernelName:Ra,backendName:\"webgl\",kernelFunc:tot};var eot=Ur.nonMaxSuppressionV4Impl;function rot(r){v.warn(\"tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead\");let{inputs:t,backend:e,attrs:n}=r,{boxes:o,scores:s}=t,{maxOutputSize:i,iouThreshold:a,scoreThreshold:u,padToMaxOutputSize:l}=n,c=e.readSync(o.dataId),p=e.readSync(s.dataId),{selectedIndices:m,validOutputs:f}=eot(c,p,i,a,u,l);return[e.makeTensorInfo([m.length],\"int32\",new Int32Array(m)),e.makeTensorInfo([],\"int32\",new Int32Array([f]))]}var L3={kernelName:Fa,backendName:\"webgl\",kernelFunc:rot};var not=Ur.nonMaxSuppressionV5Impl;function oot(r){v.warn(\"tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead\");let{inputs:t,backend:e,attrs:n}=r,{boxes:o,scores:s}=t,{maxOutputSize:i,iouThreshold:a,scoreThreshold:u,softNmsSigma:l}=n,c=e.readSync(o.dataId),p=e.readSync(s.dataId),m=i,f=a,d=u,h=l,{selectedIndices:g,selectedScores:x}=not(c,p,m,f,d,h);return[e.makeTensorInfo([g.length],\"int32\",new Int32Array(g)),e.makeTensorInfo([x.length],\"float32\",new Float32Array(x))]}var M3={kernelName:Oa,backendName:\"webgl\",kernelFunc:oot};var WC=class{constructor(t,e,n,o){this.variableNames=[\"indices\"],this.outputShape=[t,e],this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int index = round(getIndices(coords.x));\n setOutput(mix(float(${o}), float(${n}),\n float(index == coords.y)));\n }\n `}};var sot=r=>{let{inputs:t,backend:e,attrs:n}=r,{indices:o}=t,{dtype:s,depth:i,onValue:a,offValue:u}=n,l=y.sizeFromShape(o.shape),c=new WC(l,i,a,u),p=st({inputs:{x:o},backend:e,attrs:{shape:[l]}}),m=e.runWebGLProgram(c,[p],s);e.disposeIntermediateTensorInfo(p);let f=[...o.shape,i],d=st({inputs:{x:m},backend:e,attrs:{shape:f}});return e.disposeIntermediateTensorInfo(m),d},z3={kernelName:gs,backendName:\"webgl\",kernelFunc:sot};function sg(r){let{inputs:t,backend:e}=r,{x:n}=t;if(n.dtype===\"complex64\"){let o=wl({inputs:{input:n},backend:e}),s=sg({inputs:{x:o},backend:e}),i=Hc({inputs:{input:n},backend:e}),a=sg({inputs:{x:i},backend:e}),u=En({inputs:{real:s,imag:a},backend:e});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(s),e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(a),u}else return Cl({attrs:{shape:n.shape,dtype:n.dtype,value:n.dtype===\"string\"?\"\":0},backend:e})}var B3={kernelName:wi,backendName:\"webgl\",kernelFunc:sg};function V3(r){let{inputs:t,backend:e}=r,{x:n}=t;if(n.dtype===\"string\")throw new Error(\"onesLike is not supported under string dtype\");if(n.dtype===\"complex64\"){let o=wl({inputs:{input:n},backend:e}),s=V3({inputs:{x:o},backend:e}),i=Hc({inputs:{input:n},backend:e}),a=sg({inputs:{x:i},backend:e}),u=En({inputs:{real:s,imag:a},backend:e});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(s),e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(a),u}else return Cl({attrs:{shape:n.shape,dtype:n.dtype,value:1},backend:e})}var G3={kernelName:mi,backendName:\"webgl\",kernelFunc:V3};function iot(r){let{inputs:t,backend:e,attrs:n}=r,{axis:o}=n;if(t.length===1)return kC({inputs:{input:t[0]},backend:e,attrs:{dim:o}});let s=t[0].shape,i=t[0].dtype;t.forEach(c=>{y.assertShapesMatch(s,c.shape,\"All tensors passed to stack must have matching shapes\"),y.assert(i===c.dtype,()=>\"All tensors passed to stack must have matching dtypes\")});let a=[],u=t.map(c=>{let p=kC({inputs:{input:c},backend:e,attrs:{dim:o}});return a.push(p),p}),l=yk({inputs:u,backend:e,attrs:{axis:o}});return a.forEach(c=>e.disposeIntermediateTensorInfo(c)),l}var W3={kernelName:fi,backendName:\"webgl\",kernelFunc:iot};var UC=class{constructor(t,e,n){this.variableNames=[\"x\"],this.customUniforms=[{name:\"value\",type:\"float\"}],this.outputShape=e.map((l,c)=>l[0]+t[c]+l[1]);let o=t.length,s=zt(o),i=e.map(l=>l[0]).join(\",\"),a=e.map((l,c)=>l[0]+t[c]).join(\",\"),u=[\"coords[0]\",\"coords[1]\",\"coords[2]\",\"coords[3]\"].slice(0,o);if(o===1){this.userCode=`\n int start = ${i};\n int end = ${a};\n\n void main() {\n int outC = getOutputCoords();\n if (outC < start || outC >= end) {\n setOutput(value);\n } else {\n setOutput(getX(outC - start));\n }\n }\n `;return}this.userCode=`\n ${s} start = ${s}(${i});\n ${s} end = ${s}(${a});\n\n void main() {\n ${s} outC = getOutputCoords();\n if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n setOutput(value);\n } else {\n ${s} coords = outC - start;\n setOutput(getX(${u}));\n }\n }\n `}};var HC=class{constructor(t,e,n){this.variableNames=[\"x\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"value\",type:\"float\"}],this.outputShape=e.map((h,g)=>h[0]+t[g]+h[1]);let o=t.length,s=zt(o),i=e.map(h=>h[0]).join(\",\"),a=e.map((h,g)=>h[0]+t[g]).join(\",\"),u=Qe(\"rc\",o),l=Qe(\"source\",o),c=`${u[o-1]} < ${this.outputShape[o-1]}`,p=o===1?\"source\":`vec2(${l.slice(-2).join()})`,m=[`${s} rc = outputLoc;`,`${u[o-1]} += 1;\n if(${c}) {\n `,o===1?\"\":`}\n rc = outputLoc;\n ${u[o-2]} += 1;\n if(${u[o-2]} < ${this.outputShape[o-2]}) {`,o===1?\"\":` ${u[o-1]} += 1;\n if(${c}) {`],f=o===1?\"rc < start || rc >= end\":\"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))\",d=\"\";for(let h=0,g=o===1?2:4;h{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{paddings:s,constantValue:i}=n;if(y.sizeFromShape(o.shape)===0){let l=s.map((c,p)=>c[0]+o.shape[p]+c[1]);return Cl({backend:e,attrs:{shape:l,value:i,dtype:o.dtype}})}let a=z().getBool(\"WEBGL_PACK_ARRAY_OPERATIONS\")?new HC(o.shape,s,i):new UC(o.shape,s,i),u=[[i]];return e.runWebGLProgram(a,[o],o.dtype,u)},U3={kernelName:xs,backendName:\"webgl\",kernelFunc:Tk};var aot=`\n if(a < 0.0 && floor(b) < b){\n return NAN;\n }\n if (b == 0.0) {\n return 1.0;\n }\n return (round(mod(b, 2.0)) != 1) ?\n pow(abs(a), b) : sign(a) * pow(abs(a), b);\n`,lot=`\n // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n vec4 result = multiplier * pow(abs(a), b);\n\n // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n bvec4 isExpZero = equal(b, vec4(0.0));\n result.r = isExpZero.r ? 1.0 : result.r;\n result.g = isExpZero.g ? 1.0 : result.g;\n result.b = isExpZero.b ? 1.0 : result.b;\n result.a = isExpZero.a ? 1.0 : result.a;\n\n bvec4 isNaN1 = lessThan(a, vec4(0.0));\n bvec4 isNaN2 = lessThan(floor(b), b);\n bvec4 isNaN = bvec4(isNaN1.x && isNaN2.x, isNaN1.y && isNaN2.y, isNaN1.z && isNaN2.z, isNaN1.w && isNaN2.w);\n `+Yi+`\n return result;\n`,uot=le({opSnippet:aot,packedOpSnippet:lot}),H3={kernelName:ys,backendName:\"webgl\",kernelFunc:uot};function cot(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=[],l=y.parseAxisParam(s,o.shape),c=l,p=v.getAxesPermutation(c,a),m=o;p!=null&&(m=Oe({inputs:{x:o},backend:e,attrs:{perm:p}}),c=v.getInnerMostAxes(c.length,a),u.push(m)),v.assertAxesAreInnerMostDims(\"prod\",c,a);let f;if(e.shouldExecuteOnCPU([m])){let d=e.texData.get(m.dataId).values,{outVals:h,outShape:g,outDtype:x}=RL(m.shape,m.dtype,d,c);f=e.makeTensorInfo(g,x,h)}else{let[d,h]=v.computeOutAndReduceShapes(m.shape,c),g=y.sizeFromShape(h),x=st({inputs:{x:m},backend:e,attrs:{shape:[-1,g]}}),b=Wu(o.dtype),w=Un(x,b,\"prod\",e);f=st({inputs:{x:w},backend:e,attrs:{shape:d}}),u.push(x),u.push(w)}if(i){u.push(f);let d=v.expandShapeToKeepDim(f.shape,l);f=st({inputs:{x:f},backend:e,attrs:{shape:d}})}return u.forEach(d=>e.disposeIntermediateTensorInfo(d)),f}var q3={kernelName:ws,backendName:\"webgl\",kernelFunc:cot};function pot(r){let{inputs:t,backend:e,attrs:n}=r,{paramsNestedSplits:o,paramsDenseValues:s,indices:i}=t,{outputRaggedRank:a}=n,u=o.map(x=>e.readSync(x.dataId)),l=o.map(x=>x.shape),c=e.readSync(s.dataId),p=e.readSync(i.dataId),[m,f,d]=FL(u,l,c,s.shape,s.dtype,p,i.shape,a),h=m.map(x=>e.makeTensorInfo([x.length],\"int32\",x)),g=e.makeTensorInfo(d,s.dtype,f);return h.concat([g])}var K3={kernelName:Ap,backendName:\"webgl\",kernelFunc:pot};function mot(r){let{inputs:t,backend:e}=r,{starts:n,limits:o,deltas:s}=t,i=e.readSync(n.dataId),a=e.readSync(o.dataId),u=e.readSync(s.dataId),[l,c]=OL(i,n.shape,n.dtype,a,o.shape,u,s.shape),p=e.makeTensorInfo([l.length],\"int32\",l),m=e.makeTensorInfo([c.length],n.dtype,c);return[p,m]}var j3={kernelName:$p,backendName:\"webgl\",kernelFunc:mot};function fot(r){let{inputs:t,backend:e,attrs:n}=r,{shape:o,values:s,defaultValue:i,rowPartitionTensors:a}=t,{rowPartitionTypes:u}=n,l=e.readSync(o.dataId),c=e.readSync(s.dataId),p=e.readSync(i.dataId),m=a.map(g=>e.readSync(g.dataId)),f=a.map(g=>g.shape),[d,h]=PL(l,o.shape,c,s.shape,s.dtype,p,i.shape,m,f,u);return e.makeTensorInfo(d,s.dtype,h)}var X3={kernelName:Dp,backendName:\"webgl\",kernelFunc:fot};var kk=r=>{let{backend:t,attrs:e}=r,{start:n,stop:o,step:s,dtype:i}=e,a=LL(n,o,s,i);return t.makeTensorInfo([a.length],i,a)},Y3={kernelName:Ol,backendName:\"webgl\",kernelFunc:kk};var dot=\"return 1.0 / x;\",hot=Ct({opSnippet:dot}),Z3={kernelName:Pa,backendName:\"webgl\",kernelFunc:hot};var got=fr+`\n return (x < 0.0) ? 0.0 : x;\n`,xot=`\n vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,yot=Ct({opSnippet:got,packedOpSnippet:xot}),J3={kernelName:Cs,backendName:\"webgl\",kernelFunc:yot};var bot=fr+`\n return (x < 0.0) ? 0.0 : min(6.0, x);\n`,wot=`\n vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,Cot=Ct({opSnippet:bot,packedOpSnippet:wot}),Q3={kernelName:vs,backendName:\"webgl\",kernelFunc:Cot};var qC=class{constructor(t,e,n,o,s){this.variableNames=[\"A\"],this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m;s?m=\"(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)\":m=\"vec2(yRC) * effectiveInputOverOutputRatioRC\",this.userCode=`\n const vec2 effectiveInputOverOutputRatioRC = vec2(\n ${c[0]/p[0]},\n ${c[1]/p[1]});\n const vec2 inputShapeRC = vec2(${a}.0, ${u}.0);\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n ivec2 yRC = coords.yz;\n\n // Fractional source index.\n vec2 sourceFracIndexRC = ${m};\n\n // Compute the four integer indices.\n ivec2 sourceFloorRC = ivec2(max(sourceFracIndexRC, vec2(0.0)));\n ivec2 sourceCeilRC = ivec2(\n min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n float top = topLeft + (topRight - topLeft) * fracRC.y;\n float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n float newValue = top + (bottom - top) * fracRC.x;\n\n setOutput(newValue);\n }\n `}};var KC=class{constructor(t,e,n,o,s){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m;s?m=\"(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)\":m=\"vec3(yRC) * effectiveInputOverOutputRatioRC\",this.userCode=`\n const vec3 effectiveInputOverOutputRatioRC = vec3(\n ${c[0]/p[0]},\n ${c[1]/p[1]},\n ${c[1]/p[1]});\n const vec3 inputShapeRC = vec3(${a}.0, ${u}.0,\n ${u}.0);\n\n float getAValue(int b, int r, int c, int d) {\n return getChannel(getA(b, r, c, d), vec2(c, d));\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n // Calculate values for next column in yRC.z.\n ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n // Fractional source index.\n vec3 sourceFracIndexRC = ${m};\n\n // Compute the four integer indices.\n ivec3 sourceFloorRC = ivec3(max(sourceFracIndexRC, vec3(0.0)));\n ivec3 sourceCeilRC = ivec3(\n min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n // Should we calculate next column and row elements in 2x2 packed cell.\n bool hasNextCol = d < ${l-1};\n bool hasNextRow = coords.z < ${n-1};\n\n // In parallel, construct four corners for all four components in\n // packed 2x2 cell.\n vec4 topLeft = vec4(\n getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n vec4 bottomLeft = vec4(\n getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n vec4 topRight = vec4(\n getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n vec4 bottomRight = vec4(\n getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n vec4 newValue = mix(top, bottom, fracRC.x);\n\n setOutput(newValue);\n }\n `}};function Iot(r){let{inputs:t,backend:e,attrs:n}=r,{images:o}=t,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,c=z().getBool(\"WEBGL_PACK_IMAGE_OPERATIONS\")?new KC(o.shape,u,l,s,i):new qC(o.shape,u,l,s,i);return e.runWebGLProgram(c,[o],\"float32\")}var tB={kernelName:Ss,backendName:\"webgl\",kernelFunc:Iot};var jC=class{constructor(t,e,n){this.variableNames=[\"dy\"],this.outputShape=[],this.outputShape=e;let[,o,s]=e,[,i,a]=t,u=[n&&i>1?o-1:o,n&&a>1?s-1:s],l=[n&&i>1?i-1:i,n&&a>1?a-1:a],c=u[0]/l[0],p=u[1]/l[1],m=1/c,f=1/p,d=Math.ceil(m)*2+2,h=Math.ceil(f)*2+2;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n int r = coords[1];\n int c = coords[2];\n\n float accumulator = 0.0;\n\n const float heightScale = float(${c});\n const float widthScale = float(${p});\n\n const float invHeightScale = float(${m});\n const float invWidthScale = float(${f});\n\n const int winHeight = int(${d});\n const int winWidth = int(${h});\n\n // Compute bounds for where in dy we will look\n float startRLerp = floor(float(r) * invHeightScale);\n int startDyR = int(startRLerp - float(winHeight / 2));\n\n float startCLerp = floor(float(c) * invWidthScale);\n int startDyC = int(startCLerp - float(winWidth / 2));\n\n // Loop over dy\n for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n int dyR = dyROffset + startDyR;\n\n // Guard against the window exceeding the bounds of dy\n if (dyR < 0 || dyR >= ${i}) {\n continue;\n }\n\n for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n int dyC = dyCOffset + startDyC;\n\n // Guard against the window exceeding the bounds of dy\n if (dyC < 0 || dyC >= ${a}) {\n continue;\n }\n\n float dxR = float(dyR) * heightScale;\n int topDxRIndex = int(floor(dxR));\n int bottomDxRIndex = int(min(ceil(dxR), ${o-1}.0));\n float dxRLerp = dxR - float(topDxRIndex);\n float inverseDxRLerp = 1.0 - dxRLerp;\n\n float dxC = float(dyC) * widthScale;\n int leftDxCIndex = int(floor(dxC));\n int rightDxCIndex = int(min(ceil(dxC), ${s-1}.0));\n float dxCLerp = dxC - float(leftDxCIndex);\n float inverseDxCLerp = 1.0 - dxCLerp;\n\n if (r == topDxRIndex && c == leftDxCIndex) {\n // topLeft\n accumulator +=\n getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n }\n\n if (r == topDxRIndex && c == rightDxCIndex) {\n // topRight\n accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n }\n\n if (r == bottomDxRIndex && c == leftDxCIndex) {\n // bottomLeft\n accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n }\n\n if (r == bottomDxRIndex && c == rightDxCIndex) {\n // bottomRight\n accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n }\n }\n }\n // End loop over dy\n\n setOutput(accumulator);\n }\n `}};function Sot(r){let{inputs:t,backend:e,attrs:n}=r,{images:o,dy:s}=t,{alignCorners:i}=n,a=new jC(s.shape,o.shape,i);return e.runWebGLProgram(a,[s],s.dtype)}var eB={kernelName:Op,backendName:\"webgl\",kernelFunc:Sot};var XC=class{constructor(t,e,n,o,s){this.variableNames=[\"A\"],this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m=o?\"0.5\":\"0.0\",f;s?f=\"max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))\":f=\"vec2(yRC) * effectiveInputOverOutputRatioRC\",this.userCode=`\n const vec2 effectiveInputOverOutputRatioRC = vec2(\n ${c[0]/p[0]},\n ${c[1]/p[1]});\n const vec2 inputShapeRC = vec2(${a}.0, ${u}.0);\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n ivec2 yRC = coords.yz;\n\n // Fractional source index.\n vec2 sourceFracIndexRC = ${f};\n\n // Compute the coordinators of nearest neighbor point.\n ivec2 sourceNearestRC = ivec2(\n min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${m})));\n float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n setOutput(newValue);\n }\n `}};var YC=class{constructor(t,e,n,o,s){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m=o?\"0.5\":\"0.0\",f;s?f=\"max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))\":f=\"vec3(yRC) * effectiveInputOverOutputRatioRC\",this.userCode=`\n const vec3 effectiveInputOverOutputRatioRC = vec3(\n ${c[0]/p[0]},\n ${c[1]/p[1]},\n ${c[1]/p[1]});\n const vec3 inputShapeRC = vec3(${a}.0, ${u}.0,\n ${u}.0);\n\n float getAValue(int b, int r, int c, int d) {\n return getChannel(getA(b, r, c, d), vec2(c, d));\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n // Calculate values for next column in yRC.z.\n ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n // Fractional source index.\n vec3 sourceFracIndexRC = ${f};\n\n // Compute the coordinators of nearest neighbor point.\n ivec3 sourceNearestRC = ivec3(\n min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${m})));\n\n // Should we calculate next column and row elements in 2x2 packed cell.\n bool hasNextCol = d < ${l-1};\n bool hasNextRow = coords.z < ${n-1};\n\n vec4 newValue = vec4(\n getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d),\n hasNextCol ? getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d + 1) : 0.0);\n\n setOutput(newValue);\n }\n `}};function vot(r){let{inputs:t,backend:e,attrs:n}=r,{images:o}=t,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,c=z().getBool(\"WEBGL_PACK_IMAGE_OPERATIONS\")?new YC(o.shape,u,l,s,i):new XC(o.shape,u,l,s,i);return e.runWebGLProgram(c,[o],o.dtype)}var rB={kernelName:Is,backendName:\"webgl\",kernelFunc:vot};var ZC=class{constructor(t,e,n){this.variableNames=[\"dy\"],this.outputShape=[],this.outputShape=e;let[,o,s]=e,[,i,a]=t,u=[n&&i>1?o-1:o,n&&a>1?s-1:s],l=[n&&i>1?i-1:i,n&&a>1?a-1:a],c=u[0]/l[0],p=u[1]/l[1],m=1/c,f=1/p,d=Math.ceil(m)*2+2,h=Math.ceil(f)*2+2;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n int r = coords[1];\n int c = coords[2];\n\n float accumulator = 0.0;\n\n const float heightScale = float(${c});\n const float widthScale = float(${p});\n\n const float invHeightScale = float(${m});\n const float invWidthScale = float(${f});\n\n const int winHeight = int(${d});\n const int winWidth = int(${h});\n\n // Compute bounds for where in dy we will look\n float startRLerp = floor(float(r) * invHeightScale);\n int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n float startCLerp = floor(float(c) * invWidthScale);\n int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n // Loop over dy\n for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n int dyR = dyROffset + startDyR;\n\n // Guard against the window exceeding the bounds of dy\n if (dyR < 0 || dyR >= ${i}) {\n continue;\n }\n\n for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n int dyC = dyCOffset + startDyC;\n\n // Guard against the window exceeding the bounds of dy\n if (dyC < 0 || dyC >= ${a}) {\n continue;\n }\n\n float sourceFracRow =\n float(${u[0]}) *\n (float(dyR) / float(${l[0]}));\n\n float sourceFracCol =\n float(${u[1]}) *\n (float(dyC) / float(${l[1]}));\n\n int sourceNearestRow = int(min(\n float(int(${o}) - 1),\n ${n} ? float(round(sourceFracRow)) :\n float(floor(sourceFracRow))));\n\n int sourceNearestCol = int(min(\n float(int(${s}) - 1),\n ${n} ? float(round(sourceFracCol)) :\n float(floor(sourceFracCol))));\n\n if (r == sourceNearestRow && c == sourceNearestCol) {\n accumulator += getDy(b, dyR, dyC, d);\n }\n }\n }\n // End loop over dy\n\n setOutput(accumulator);\n }\n `}};function Not(r){let{inputs:t,backend:e,attrs:n}=r,{images:o,dy:s}=t,{alignCorners:i}=n,a=new ZC(s.shape,o.shape,i);return e.runWebGLProgram(a,[s],s.dtype)}var nB={kernelName:Fp,backendName:\"webgl\",kernelFunc:Not};var JC=class{constructor(t,e){this.variableNames=[\"x\"];let n=t.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);if(this.outputShape=t,n===1){this.userCode=`\n void main() {\n int coord = getOutputCoords();\n setOutput(getX(${t[0]} - coord - 1));\n }\n `;return}let o=a=>e.indexOf(a)!==-1&&t[a]!==1?`${t[a]} - coords[${a}] - 1`:`coords[${a}]`,s=t.map((a,u)=>o(u)).join(\",\"),i=zt(n);this.userCode=`\n void main() {\n ${i} coords = getOutputCoords();\n setOutput(getX(${s}));\n }\n `}};var QC=class{constructor(t,e){this.variableNames=[\"x\"],this.packedInputs=!0,this.packedOutput=!0;let n=t.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);this.outputShape=t;let o=Qe(\"rc\",n),s=`${o[n-1]} + 1 < ${this.outputShape[n-1]}`,i=`${o[n-2]} + 1 < ${this.outputShape[n-2]}`,a=zt(n);n===1?this.userCode=`\n void main(){\n int rc = getOutputCoords();\n vec4 result = vec4(0.);\n result.r = getChannel(getX(${t[0]} - rc - 1),\n ${t[0]} - rc - 1);\n if(${s}){\n result.g = getChannel(getX(${t[0]} - (rc + 1) - 1),\n ${t[0]} - (rc + 1) - 1);\n }\n setOutput(result);\n }\n `:this.userCode=`\n void main() {\n ${a} rc = getOutputCoords();\n vec4 result = vec4(0.);\n result.r = ${u(o.slice())};\n if(${s}){\n result.g = ${l(o.slice())};\n }\n if(${i}) {\n result.b = ${c(o.slice())};\n if(${s}) {\n result.a = ${p(o.slice())};\n }\n }\n setOutput(result);\n }\n `;function u(d){return m(d)}function l(d){return d[n-1]=\"(\"+d[n-1]+\" + 1)\",m(d)}function c(d){return d[n-2]=\"(\"+d[n-2]+\" + 1)\",m(d)}function p(d){return d[n-1]=\"(\"+d[n-1]+\" + 1)\",d[n-2]=\"(\"+d[n-2]+\" + 1)\",m(d)}function m(d){let h=t.map((b,w)=>f(w,d)),g=h.join(\",\"),x=h.slice(-2).join(\",\");return`getChannel(getX(${g}), vec2(${x}))`}function f(d,h){return e.indexOf(d)!==-1&&t[d]!==1?`${t[d]} - ${h[d]} - 1`:`${h[d]}`}}};function Tot(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dims:s}=n,i=o.shape.length,a=y.parseAxisParam(s,o.shape);if(i===0)return tr({inputs:{x:o},backend:e});let u=z().getBool(\"WEBGL_PACK_ARRAY_OPERATIONS\")?new QC(o.shape,a):new JC(o.shape,a);return e.runWebGLProgram(u,[o],o.dtype)}var oB={kernelName:Ns,backendName:\"webgl\",kernelFunc:Tot};var tI=class{constructor(t,e){this.variableNames=[\"Image\"],this.outputShape=[],this.customUniforms=[{name:\"params\",type:\"vec4\"}];let n=t[1],o=t[2];this.outputShape=t;let s=\"\";typeof e==\"number\"?s=`float outputValue = ${e.toFixed(2)};`:s=`\n vec3 fill = vec3(${e.join(\",\")});\n float outputValue = fill[coords[3]];`,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int x = coords[2];\n int y = coords[1];\n float coordXFloat = (float(x) - params[0]) * params[3] -\n (float(y) - params[1]) * params[2];\n float coordYFloat = (float(x) - params[0]) * params[2] +\n (float(y) - params[1]) * params[3];\n int coordX = int(round(coordXFloat + params[0]));\n int coordY = int(round(coordYFloat + params[1]));\n ${s}\n if(coordX >= 0 && coordX < ${o} && coordY >= 0 && coordY < ${n}) {\n outputValue = getImage(coords[0], coordY, coordX, coords[3]);\n }\n setOutput(outputValue);\n }\n `}};var sB={kernelName:qa,backendName:\"webgl\",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{image:n}=r,{radians:o,fillValue:s,center:i}=t,a=e,u=new tI(n.shape,s),[l,c]=v.getImageCenter(i,n.shape[1],n.shape[2]),p=[[l,c,Math.sin(o),Math.cos(o)]];return a.runWebGLProgram(u,[n],n.dtype,p)}};var kot=`\n // OpenGL ES does not support round function.\n // The algorithm is based on banker's rounding.\n float base = floor(x);\n if ((x - base) < 0.5) {\n return floor(x);\n } else if ((x - base) > 0.5) {\n return ceil(x);\n } else {\n if (mod(base, 2.0) == 0.0) {\n return base;\n } else {\n return base + 1.0;\n }\n }\n`,Eot=Ct({opSnippet:kot}),iB={kernelName:Ts,backendName:\"webgl\",kernelFunc:Eot};var _ot=\"return inversesqrt(x);\",Aot=Ct({opSnippet:_ot,cpuKernelImpl:ML}),aB={kernelName:ks,backendName:\"webgl\",kernelFunc:Aot};var $d=class{constructor(t,e,n,o,s,i,a=!0){this.variableNames=[\"updates\",\"indices\",\"defaultValue\"],this.outputShape=i;let u=zt(s.length),l=zt(i.length),c=\"\";n===1?c=\"i\":n===2&&(c=\"i, j\");let p=`getIndices(${c})`,m=\"\";o===1?m=\"i\":o===2&&(m=\"i, coords[1]\");let f=`getUpdates(${m})`,d=e>1?\"strides[j]\":\"strides\";this.userCode=`\n ${u} strides = ${u}(${s});\n\n void main() {\n ${l} coords = getOutputCoords();\n float sum = 0.0;\n bool found = false;\n for (int i = 0; i < ${t}; i++) {\n int flattenedIndex = 0;\n for (int j = 0; j < ${e}; j++) {\n int index = round(${p});\n flattenedIndex += index * ${d};\n }\n if (flattenedIndex == coords[0]) {\n sum += ${f};\n found = true;\n }\n }\n setOutput(mix(getDefaultValue(), sum, float(found)));\n }\n `}};function $ot(r){let{inputs:t,backend:e,attrs:n}=r,{indices:o,updates:s}=t,{shape:i}=n,{sliceRank:a,numUpdates:u,sliceSize:l,strides:c,outputSize:p}=v.calculateShapes(s,o,i),m=[p/l,l];if(p===0)return e.makeTensorInfo(i,o.dtype);let f=st({inputs:{x:o},backend:e,attrs:{shape:[u,a]}}),d=st({inputs:{x:s},backend:e,attrs:{shape:[u,l]}}),h=e.makeTensorInfo([],\"float32\",new Float32Array([0])),g=new $d(u,a,f.shape.length,d.shape.length,c,m),x=e.runWebGLProgram(g,[d,f,h],d.dtype),b=st({inputs:{x},backend:e,attrs:{shape:i}});return e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(x),e.disposeIntermediateTensorInfo(h),b}var lB={kernelName:La,backendName:\"webgl\",kernelFunc:$ot};var eI=class{constructor(t,e,n,o){this.variableNames=[\"sortedSequence\",\"values\"],this.customUniforms=[{name:\"numInputs\",type:\"int\"}],this.outputShape=[t,n];let s=\"while (left < right) {\",i=`for (int i = 0; i < ${Math.ceil(Math.log2(e+1))}; ++i) { if (left >= right) break;`,a=z().getNumber(\"WEBGL_VERSION\")===2?s:i,u=o===\"left\"?\"<\":\"<=\";this.userCode=`\n int findBound(int batch, float value) {\n int left = 0;\n int right = numInputs;\n int mid;\n ${a}\n mid = (left + right) / 2;\n if (getSortedSequence(batch, mid) ${u} value) {\n left = mid + 1;\n } else {\n right = mid;\n }\n }\n return right;\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int valueIndex = coords[1];\n\n float value = getValues(batch, valueIndex);\n\n setOutput(float(findBound(batch, value)));\n }\n `}};function Dot(r){let{inputs:t,backend:e,attrs:n}=r,{sortedSequence:o,values:s}=t,{side:i}=n,a=new eI(o.shape[0],o.shape[1],s.shape[1],i),u=[[o.shape[1]]];return e.runWebGLProgram(a,[o,s],\"int32\",u)}var uB={kernelName:Pp,backendName:\"webgl\",kernelFunc:Dot};var rI=class{constructor(t,e,n){this.variableNames=[\"c\",\"a\",\"b\"],this.outputShape=e;let o,s;if(n>4)throw Error(`Where for rank ${n} is not yet supported`);if(n===1)s=\"resRC\",o=\"resRC\";else{let a=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],u=[],l=[];for(let c=0;c= 1.0) {\n setOutput(getA(${s}));\n } else {\n setOutput(getB(${s}));\n }\n }\n `}};function Rot(r){let{inputs:t,backend:e}=r,{condition:n,t:o,e:s}=t,i=new rI(n.shape.length,o.shape,o.shape.length);return e.runWebGLProgram(i,[n,o,s],sr(o.dtype,s.dtype))}var cB={kernelName:hi,backendName:\"webgl\",kernelFunc:Rot};var Fot=`\n // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n // see: https://arxiv.org/abs/1706.02515\n float scaleAlpha = ${v.SELU_SCALEALPHA};\n float scale = ${v.SELU_SCALE};\n return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n`,Oot=Ct({opSnippet:Fot}),pB={kernelName:Ma,backendName:\"webgl\",kernelFunc:Oot};var Pot=Po+`\n return 1.0 / (1.0 + exp(-1.0 * x));\n`,Lot=`\n vec4 result = 1.0 / (1.0 + exp(-1.0 * x));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,Mot=Ct({opSnippet:Pot,packedOpSnippet:Lot,cpuKernelImpl:BL}),mB={kernelName:_s,backendName:\"webgl\",kernelFunc:Mot};var zot=`\n if (isnan(x)) { return 0.0; }\n return sign(x);\n`,Bot=Ct({opSnippet:zot}),fB={kernelName:Ba,backendName:\"webgl\",kernelFunc:Bot};var Vot=Po+`\n return sin(x);\n`,Got=Ct({opSnippet:Vot}),dB={kernelName:Es,backendName:\"webgl\",kernelFunc:Got};var Wot=`\n float e2x = exp(x);\n return (e2x - 1.0 / e2x) / 2.0;\n`,Uot=Ct({opSnippet:Wot}),hB={kernelName:za,backendName:\"webgl\",kernelFunc:Uot};var Hot=`\n float epsilon = 1.1920928955078125e-7;\n float threshold = log(epsilon) + 2.0;\n\n bool too_large = x > -threshold;\n bool too_small = x < threshold;\n\n float result;\n float exp_x = exp(x);\n\n if (too_large){\n result = x;\n }\n else if (too_small){\n result = exp_x;\n }\n else{\n result = log(exp_x + 1.0);\n }\n return result;\n`,qot=Ct({opSnippet:Hot}),gB={kernelName:Va,backendName:\"webgl\",kernelFunc:qot};var Kot=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,paddings:i}=n;y.assert(o.shape.length<=4,()=>\"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet\");let a=s.reduce((x,b)=>x*b),u=[[0,0]];u.push(...i);for(let x=1+s.length;xe.disposeIntermediateTensorInfo(x)),g},xB={kernelName:xi,backendName:\"webgl\",kernelFunc:Kot};function jot(r){let{inputs:t,backend:e}=r,{indices:n,values:o,denseShape:s,defaultValue:i}=t;if(s.shape.length!==1)throw new Error(`Dense shape must be a vector, saw:\n ${s.shape}`);if(n.shape.length!==2)throw new Error(`Indices must be a matrix, saw:\n ${n.shape}`);if(o.shape.length!==1)throw new Error(`Values must be a vector, saw:\n ${o.shape}`);if(i.shape.length!==0)throw new Error(`Default value must be a scalar, saw:\n ${i.shape}`);let a=e.readSync(n.dataId),u=e.readSync(o.dataId),l=e.readSync(s.dataId),c=e.readSync(i.dataId)[0],[p,m,f,d,h]=GL(a,n.shape,n.dtype,u,o.dtype,l,c);return[e.makeTensorInfo(m,n.dtype,p),e.makeTensorInfo([m[0]],o.dtype,f),e.makeTensorInfo([d.length],\"bool\",new Uint8Array(d.map(g=>Number(g)))),e.makeTensorInfo([h.length],n.dtype,new Int32Array(h))]}var yB={kernelName:Pl,backendName:\"webgl\",kernelFunc:jot};function Xot(r){let{inputs:t,backend:e}=r,{inputIndices:n,inputShape:o,newShape:s}=t;if(n.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape ${n.shape}`);if(o.shape.length!==1)throw new Error(`Input shape should be a vector but received shape ${o.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=Array.from(e.readSync(o.dataId)),a=e.readSync(n.dataId),u=Array.from(e.readSync(s.dataId)),[l,c,p]=WL(a,n.shape,n.dtype,i,u);return[e.makeTensorInfo(c,n.dtype,l),e.makeTensorInfo([p.length],s.dtype,new Int32Array(p))]}var bB={kernelName:Ga,backendName:\"webgl\",kernelFunc:Xot};function Yot(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape\n ${o.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape\n ${s.shape}`);let i=e.readSync(n.dataId),a=e.readSync(o.dataId),u=e.readSync(s.dataId),[l,c]=zw(i,n.shape,n.dtype,a,u,!0);return e.makeTensorInfo(c,n.dtype,l)}var wB={kernelName:Ll,backendName:\"webgl\",kernelFunc:Yot};function Zot(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape\n ${o.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape\n ${s.shape}`);let i=e.readSync(n.dataId),a=e.readSync(o.dataId),u=e.readSync(s.dataId),[l,c]=zw(i,n.shape,n.dtype,a,u);return e.makeTensorInfo(c,n.dtype,l)}var CB={kernelName:Ml,backendName:\"webgl\",kernelFunc:Zot};function Jot(r){let{inputs:t,backend:e,attrs:n}=r,{sparseIndices:o,sparseValues:s,defaultValue:i}=t,{outputShape:a}=n,{sliceRank:u,numUpdates:l,sliceSize:c,strides:p,outputSize:m}=v.calculateShapes(s,o,a),f=!1;if(s.dtype===\"string\"){let x=e.bufferSync(o),b=e.bufferSync(s),w=y.decodeString(e.readSync(i.dataId)[0]),C=zL(x,b,a,m,c,l,u,p,w,f);return e.makeTensorInfo(a,C.dtype,C.values)}let d=new $d(l,u,o.shape.length,s.shape.length,p,[m,1],f),h=e.runWebGLProgram(d,[s,o,i],s.dtype),g=st({inputs:{x:h},backend:e,attrs:{shape:a}});return e.disposeIntermediateTensorInfo(h),g}var IB={kernelName:Lp,backendName:\"webgl\",kernelFunc:Jot};function Qot(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{numOrSizeSplits:s,axis:i}=n,a=y.parseAxisParam(i,o.shape)[0],u=v.prepareSplitSize(o,s,a),l=o.shape.length,c=new Array(l).fill(0),p=o.shape.slice();return u.map(m=>{let f=[...p];f[a]=m;let d=ri({inputs:{x:o},backend:e,attrs:{begin:c,size:f}});return c[a]+=m,d})}var SB={kernelName:yi,backendName:\"webgl\",kernelFunc:Qot};var vB=\"return sqrt(x);\",tst=Ct({opSnippet:vB,packedOpSnippet:vB,cpuKernelImpl:UL}),NB={kernelName:As,backendName:\"webgl\",kernelFunc:tst};var est=\"return x * x;\",rst=Ct({opSnippet:est}),TB={kernelName:zl,backendName:\"webgl\",kernelFunc:rst};var kB=\"return (a - b) * (a - b);\",nst=le({opSnippet:kB,packedOpSnippet:kB}),EB={kernelName:Rs,backendName:\"webgl\",kernelFunc:nst};function ost({inputs:r,attrs:t,backend:e}){let{x:n}=r,o=fr+`\n return x > 0.0 ? 1.0 : float(${t.alpha});\n `,s=new tn(n.shape,o);return e.runWebGLProgram(s,[n],n.dtype)}var _B={kernelName:po,backendName:\"webgl\",kernelFunc:ost};var nI=class{constructor(t,e,n){this.variableNames=[\"x\"],this.outputShape=n;let o=n.length,s=zt(n.length),i=zt(n.length),a=\"\";if(o===1)a=\"coords * strides + begin\";else{let u=0;a=n.map((l,c)=>(u++,n.length===1?`coords * strides[${c}] + begin[${c}]`:`coords[${u-1}] * strides[${c}] + begin[${c}]`)).join(\",\")}this.userCode=`\n ${s} begin = ${s}(${t});\n ${s} strides = ${s}(${e});\n\n void main() {\n ${i} coords = getOutputCoords();\n setOutput(getX(${a}));\n }\n `}};function sst(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,end:i,strides:a,beginMask:u,endMask:l,ellipsisMask:c,newAxisMask:p,shrinkAxisMask:m}=n,{finalShapeSparse:f,finalShape:d,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:w,strides:C}=Le.sliceInfo(o.shape,s,i,a,u,l,c,p,m),N;if(h)N=st({inputs:{x:o},backend:e,attrs:{shape:d}});else if(g||x){y.assert(o.shape.length>=1,()=>`Input must have rank at least 1, got: ${o.shape.length}`);let A=Le.computeOutShape(b,w,C),$=ri({inputs:{x:o},backend:e,attrs:{begin:b,size:A}});N=st({inputs:{x:$},backend:e,attrs:{shape:d}}),e.disposeIntermediateTensorInfo($)}else if(e.shouldExecuteOnCPU([o])){let $=e.readSync(o.dataId),F=wt(o.shape,o.dtype,$),P=HL(f,F,C,b);N=e.makeTensorInfo(d,o.dtype,P.values)}else{let $=new nI(b,C,f);N=e.runWebGLProgram($,[o],o.dtype)}let _=st({inputs:{x:N},backend:e,attrs:{shape:d}});return e.disposeIntermediateTensorInfo(N),_}var AB={kernelName:Wa,backendName:\"webgl\",kernelFunc:sst};function ist(r){let{inputs:t,backend:e,attrs:n}=r,{separator:o,nGramWidths:s,leftPad:i,rightPad:a,padWidth:u,preserveShortSequences:l}=n,{data:c,dataSplits:p}=t,m=e.readSync(c.dataId),f=e.readSync(p.dataId),[d,h]=qL(m,f,o,s,i,a,u,l);return[e.makeTensorInfo([d.length],\"string\",d),e.makeTensorInfo(p.shape,\"int32\",h)]}var $B={kernelName:Bl,backendName:\"webgl\",kernelFunc:ist};function ast(r){let{inputs:t,backend:e,attrs:n}=r,{skipEmpty:o}=n,{input:s,delimiter:i}=t;if(s.dtype!==\"string\")throw new Error(\"Input must be of datatype string\");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(i.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${i.shape}`);let a=e.readSync(s.dataId),u=e.readSync(i.dataId)[0],[l,c,p]=KL(a,u,o),m=c.length;return[e.makeTensorInfo([m,2],\"int32\",l),e.makeTensorInfo([m],\"string\",c),e.makeTensorInfo([2],\"int32\",new Int32Array(p))]}var DB={kernelName:Vl,backendName:\"webgl\",kernelFunc:ast};function lst(r){let{inputs:t,backend:e,attrs:n}=r,{numBuckets:o}=n,{input:s}=t;if(s.dtype!==\"string\")throw new Error(\"Input must be of datatype string\");if(o<=0)throw new Error(\"Number of buckets must be at least 1\");let i=e.readSync(s.dataId),a=jL(i,o);return e.makeTensorInfo(s.shape,\"int32\",a)}var RB={kernelName:Gl,backendName:\"webgl\",kernelFunc:lst};var ust=\"return tan(x);\",cst=Ct({opSnippet:ust}),FB={kernelName:Os,backendName:\"webgl\",kernelFunc:cst};var pst=`\n float e2x = exp(-2.0 * abs(x));\n return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n`,mst=Ct({opSnippet:pst}),OB={kernelName:Ps,backendName:\"webgl\",kernelFunc:mst};var oI=class{constructor(t,e){this.variableNames=[\"A\"];let n=new Array(t.length);for(let i=0;i5)throw Error(`Tile for rank ${t} is not yet supported`);if(t===1)return`imod(resRC, ${r[0]})`;let e=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\",\"resRC.u\"],n=[];for(let o=0;o5){let u=e.readSync(o.dataId),l=o.dtype===\"string\"?u.map(m=>y.decodeString(m)):u,c=wt(o.shape,o.dtype,l),p=YL(c,s);return e.makeTensorInfo(p.shape,p.dtype,p.values)}let i=new oI(o.shape,s);return e.runWebGLProgram(i,[o],o.dtype)}var PB={kernelName:Jn,backendName:\"webgl\",kernelFunc:Ek};var sI=class{constructor(t){this.variableNames=[\"x\",\"indices\"],this.customUniforms=[{name:\"n\",type:\"int\"},{name:\"firstPass\",type:\"int\"},{name:\"negativeInf\",type:\"float\"},{name:\"dir\",type:\"int\"},{name:\"inc\",type:\"int\"}],this.outputShape=t,this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int elemIdx = coords[1];\n\n // We compare elements pair-wise within a group of size 2 * inc.\n // The comparing rule for each group alternates between ascending\n // and descending. Within each group, we compare each pair at\n // positions i and i+inc. To decide whether an element at position i\n // is x0 or x1, we mod it by 2 * inc, if the result is smaller than\n // inc, it is in the first half of the group, we denote it as x0,\n // otherwise we denote it as x1.\n // For example, as shown in the Bitonic top K paper referenced above,\n // Figure5(a) shows that element[1] is in the\n // second half of the group when group size is 2, but it is in the\n // first half of the group when group size is 4.\n\n bool isFirstInPair = imod(elemIdx, 2 * inc) < inc;\n int i = isFirstInPair ? elemIdx : elemIdx - inc;\n\n int i0 = firstPass == 1 ? i : int(getIndices(batch, i));\n int i1 = firstPass == 1 ? i + inc : int(getIndices(batch, i + inc));\n float x0 = i0 < n ? getX(batch, i0) : negativeInf;\n float x1 = i1 < n ? getX(batch, i1) : negativeInf;\n\n // Denotes which direction indices are in (ascending or descending).\n bool reverse = imod(elemIdx, 2 * dir) >= dir;\n bool isGreater = x0 > x1 || (x0 == x1 && i1 > i0);\n if (reverse == isGreater) { // Elements in opposite order of direction\n int iTemp = i0;\n i0 = i1;\n i1 = iTemp;\n }\n if (isFirstInPair) {\n setOutput(float(i0));\n } else {\n setOutput(float(i1));\n }\n }\n `}},iI=class{constructor(t){this.variableNames=[\"x\",\"indices\"],this.customUniforms=[{name:\"n\",type:\"int\"},{name:\"firstPass\",type:\"int\"},{name:\"k\",type:\"int\"}],this.outputShape=t,this.userCode=`\n void main() {\n // Takes max of indices (0, k), (1, k + 1), (2, k + 2) ...\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int elemIdx = coords[1];\n\n // The output size is half of the previous size.\n // If the previous sequence is | | | | _ _ _ _ | | | | _ _ _ _ (k=4),\n // we only need to output the indices at positions |, the indices at\n // positions _ can be thrown away, see Figure5(b) After Phase 2\n // (Merge phase) in the Bitonic Top K paper referenced above.\n // For example, the paper shows we only need to output the orange bars.\n // The output sequence should look like this | | | | | | | |.\n // Because the sequence is halved, to map the output index back\n // to the previous sequence to find the corresponding value,\n // we need to double the index. When we double the index,\n // we basically interpolate a position, so 2i looks like\n // | _ | _ | _ | _ | _ | _ | _. We move the | to the first k position\n // of each 2k positions by - elemIdx % k. E.g. for output at\n // index 4,5,6,7, we want to get the corresponding element at\n // original index 8,9,10,11, for output at index 8,9,10,11,\n // we want to get the corresponding element at original index\n // 16,17,18,19, so on and so forth.\n\n int i = elemIdx < k ? elemIdx : (elemIdx * 2 - imod(elemIdx, k));\n int i0 = firstPass == 1 ? i : int(getIndices(batch, i));\n int i1 = firstPass == 1 ? i + k : int(getIndices(batch, i + k));\n\n float x0 = getX(batch, i0);\n float x1 = i1 < n ? getX(batch, i1) : x0;\n\n setOutput(x0 >= x1 ? float(i0) : float(i1));\n }\n `}};function Kc(r,t){t!==null&&r.disposeIntermediateTensorInfo(t)}function LB(r){let t=1;for(;tu){let P=e.readSync(o.dataId),[V,G]=ZL(P,l,o.dtype,s,i);return[e.makeTensorInfo(V.shape,V.dtype,V.values),e.makeTensorInfo(G.shape,G.dtype,G.values)]}if(s===0)return l[l.length-1]=0,[e.makeTensorInfo(l,o.dtype,[]),e.makeTensorInfo(l,\"int32\",[])];if(c===1)return[o,Cl({attrs:{shape:l,dtype:\"int32\",value:0},backend:e})];let p=e.texData.get(o.dataId),m=p!==null&&p.isPacked,f=m?e.unpackTensor(o):o,h=y.sizeFromShape(l)/c,g=st({inputs:{x:f},attrs:{shape:[h,c]},backend:e});m&&Kc(e,f);let x=LB(s),b=LB(c),w=null,C=()=>w===null?[g,g]:[g,w],N=(P,V,G)=>{let W=C(),q=new sI(G),j=[[c],[w===null?1:0],[Number.NEGATIVE_INFINITY],[P],[V]],Y=w;w=e.runWebGLProgram(q,W,\"int32\",j),Kc(e,Y)};for(let P=1;P=1;G/=2)N(V,G,[h,b])}for(let P=b;P>x;P/=2){let V=C(),G=new iI([h,P/2]),q=[[c],[w===null?1:0],[x]],H=w;w=e.runWebGLProgram(G,V,\"int32\",q),Kc(e,H);let j=x/2,Y=j*2;for(let Z=j;Z>=1;Z/=2)N(Y,Z,w.shape)}let _=w;w=ri({inputs:{x:w},backend:e,attrs:{begin:0,size:[h,s]}}),Kc(e,_);let A=Ck({inputs:{x:g,indices:w},backend:e,attrs:{axis:1,batchDims:1}});Kc(e,g);let $=l.slice(0,-1);$.push(s),_=w,w=st({inputs:{x:w},attrs:{shape:$},backend:e}),Kc(e,_);let F=A;return A=st({inputs:{x:A},attrs:{shape:$},backend:e}),Kc(e,F),[A,w]}var MB={kernelName:Ua,backendName:\"webgl\",kernelFunc:dst};var aI=class{constructor(t,e,n,o,s,i){this.variableNames=[\"Image\",\"Transforms\"],this.outputShape=i;let a=n===\"nearest\"?1:2,u;switch(o){case\"constant\":u=1;break;case\"reflect\":u=2;break;case\"wrap\":u=3;break;case\"nearest\":u=4;break;default:u=1;break}this.userCode=`\n float mapCoord(float outCoord, float len) {\n float inCoord = outCoord;\n if(${u} == 2) {\n if (inCoord < 0.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n float sz2 = 2.0 * len;\n if (inCoord < sz2) {\n inCoord = sz2 * float(int(float(-inCoord / sz2))) +\n inCoord;\n }\n inCoord = inCoord < -len ? inCoord + sz2 : -inCoord - 1.0;\n }\n } else if (inCoord > len - 1.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n float sz2 = 2.0 * len;\n inCoord -= sz2 * float(int(float(inCoord / sz2)));\n if (inCoord >= len) {\n inCoord = sz2 - inCoord - 1.0;\n }\n }\n }\n return clamp(inCoord, 0.0, len - 1.0);\n } else if (${u} == 3) {\n if (inCoord < 0.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n float sz = len - 1.0;\n inCoord += len * (float(int(float(-inCoord / sz))) + 1.0);\n }\n } else if (inCoord > len - 1.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n float sz = len - 1.0;\n inCoord -= len * float(int(float(inCoord / sz)));\n }\n }\n return clamp(inCoord, 0.0, len - 1.0);\n } else if (${u} == 4) {\n return clamp(outCoord, 0.0, len - 1.0);\n } else {\n return outCoord;\n }\n }\n\n float readWithFillValue(int batch, int coordY, int coordX,\n int channel) {\n float outputValue;\n if (0 <= coordY && coordY < ${t} && 0 <= coordX && coordX < ${e}) {\n outputValue = getImage(batch, coordY, coordX, channel);\n } else {\n outputValue = float(${s});\n }\n return outputValue;\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n float outputValue;\n int batch = coords[0];\n int x = coords[2];\n int y = coords[1];\n int channel = coords[3];\n float xf = float(x);\n float yf = float(y);\n float a1 = getTransforms(batch, 0);\n float a2 = getTransforms(batch, 1);\n float a3 = getTransforms(batch, 2);\n float b1 = getTransforms(batch, 3);\n float b2 = getTransforms(batch, 4);\n float b3 = getTransforms(batch, 5);\n float c1 = getTransforms(batch, 6);\n float c2 = getTransforms(batch, 7);\n float projection = c1 * xf + c2 * yf + 1.0;\n if (projection == 0.0) {\n outputValue = float(${s});\n } else {\n float inX = (a1 * xf + a2 * yf + a3) / projection;\n float inY = (b1 * xf + b2 * yf + b3) / projection;\n float mapX = mapCoord(inX, float(${e}));\n float mapY = mapCoord(inY, float(${t}));\n\n if (${a} == 1) {\n int coordY = int(round(mapY));\n int coordX = int(round(mapX));\n outputValue = readWithFillValue(batch, coordY, coordX,\n channel);\n } else {\n float yFloor = floor(mapY);\n float xFloor = floor(mapX);\n float yCeil = yFloor + 1.0;\n float xCeil = xFloor + 1.0;\n float valueYFloor = (xCeil - mapX) *\n readWithFillValue(batch, int(yFloor), int(xFloor), channel) +\n (mapX - xFloor) *\n readWithFillValue(batch, int(yFloor), int(xCeil), channel);\n float valueYCeil = (xCeil - mapX) *\n readWithFillValue(batch, int(yCeil), int(xFloor), channel) +\n (mapX - xFloor) *\n readWithFillValue(batch, int(yCeil), int(xCeil), channel);\n outputValue = (yCeil - mapY) * valueYFloor +\n (mapY - yFloor) * valueYCeil;\n }\n }\n setOutput(outputValue);\n }\n `}};function hst(r){let{inputs:t,backend:e,attrs:n}=r,{image:o,transforms:s}=t,{interpolation:i,fillMode:a,fillValue:u,outputShape:l}=n,[c,p,m,f]=o.shape,[d,h]=l!=null?l:[p,m],g=[c,d,h,f],x=new aI(p,m,i,a,u,g);return e.runWebGLProgram(x,[o,s],\"float32\")}var zB={kernelName:Ha,backendName:\"webgl\",kernelFunc:hst};function gst(r){let{inputs:t,attrs:e,backend:n}=r,{axis:o}=e,{x:s}=t;Qs(s,\"unique\"),console.warn(\"WARNING: \",\"UI might be locked temporarily as data is being downloaded\");let i=n.readSync(s.dataId),{outputValues:a,outputShape:u,indices:l}=JL(i,o,s.shape,s.dtype);return[n.makeTensorInfo(u,s.dtype,a),n.makeTensorInfo([l.length],\"int32\",l)]}var BB={kernelName:Mp,backendName:\"webgl\",kernelFunc:gst};function xst(r){let{inputs:t,backend:e,attrs:n}=r,{value:o}=t,{axis:s}=n;s<0&&(s+=o.shape.length);let i=o,a=i.shape.length,u=o.shape[s],l=new Array(a-1),c=0;for(let h=0;he.disposeIntermediateTensorInfo(h)),d}var VB={kernelName:bi,backendName:\"webgl\",kernelFunc:xst};var lI=class{constructor(t,e){this.variableNames=[\"x\",\"segmentIds\"];let n=t.windowSize,o=t.batchSize,s=t.inSize,i=t.numSegments,a=i*Math.ceil(s/n);this.outputShape=[o,a];let u=\"0.0\",l=\"sumValue\",c=Math.floor(n/4)*4,p=n%4,m=`\n sumValue += dot(values, segFilter);\n `,f=\"\";s%n>0&&(f=`\n if (inIdx < 0 || inIdx >= ${s}) {\n return initializationValue;\n }\n `);let d=\"\";s%n>0&&(d=`\n if (inIdx < 0 || inIdx >= ${s}) {\n return -1.0;\n }\n `),this.userCode=`\n const float initializationValue = ${u};\n\n float getValue(int batch, int inIdx) {\n ${f}\n return getX(batch, inIdx);\n }\n\n float getSegmentIdAtIndex(int inIdx) {\n ${d}\n return getSegmentIds(inIdx);\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = int(floor(float(outIdx) / float(\n ${i})) * float(${n}));\n int currentSeg = int(mod(float(outIdx), float(${i})));\n\n float sumValue = 0.0;\n\n for (int i = 0; i < ${c}; i += 4) {\n int inIdx = inOffset + i;\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n getValue(batch, inIdx + 3)\n );\n\n vec4 segFilter = vec4(\n int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n );\n\n ${m}\n }\n\n int inIdx = inOffset + ${c};\n if (${p===1}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n vec4 segFilter = vec4(\n int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n 0,\n 0,\n 0\n );\n\n ${m}\n } else if (${p===2}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n initializationValue,\n initializationValue\n );\n\n vec4 segFilter = vec4(\n int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n 0,\n 0\n );\n\n ${m}\n } else if (${p===3}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n initializationValue\n );\n\n vec4 segFilter = vec4(\n int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n 0\n );\n\n ${m}\n }\n setOutput(${l});\n }\n `}};function yst(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,segmentIds:s}=t,{numSegments:i}=n,a=o.shape.length,u=[],l=0,c=v.getAxesPermutation([l],a),p=o;c!=null&&(p=Oe({inputs:{x:o},backend:e,attrs:{perm:c}}),u.push(p),l=v.getInnerMostAxes(1,a)[0]);let m=v.segment_util.computeOutShape(p.shape,l,i),f=y.sizeFromShape([p.shape[l]]),d=st({inputs:{x:p},backend:e,attrs:{shape:[-1,f]}});u.push(d);let h=Wu(o.dtype),g=(C,N,_,A,$)=>{let F=C.shape[0],P=C.shape[1],V=v.segment_util.segOpComputeOptimalWindowSize(P,$),G={windowSize:V,inSize:P,batchSize:F,numSegments:$},W=new lI(G,N),q=e.compileAndRun(W,[C,_],A);if(u.push(q),q.shape[1]===$)return q;let H=kk({backend:e,attrs:{start:0,stop:$,step:1,dtype:\"float32\"}}),j=Ek({inputs:{x:H},backend:e,attrs:{reps:[P/V]}});return u.push(H),u.push(j),g(q,N,j,A,$)},x=g(d,\"unsortedSegmentSum\",s,h,i),b=st({inputs:{x},backend:e,attrs:{shape:m}}),w=b;if(c!=null){u.push(b);let C=v.getUndoAxesPermutation(c);w=Oe({inputs:{x:w},backend:e,attrs:{perm:C}})}return u.forEach(C=>e.disposeIntermediateTensorInfo(C)),w}var GB={kernelName:Wl,backendName:\"webgl\",kernelFunc:yst};var bst=[kM,_M,AM,$M,RM,FM,OM,PM,zM,BM,VM,GM,WM,UM,HM,qM,KM,jM,XM,YM,ZM,QM,tz,ez,sz,az,lz,xM,cz,mz,fz,dz,hz,gz,xz,yz,bz,wz,Cz,vz,Nz,Tz,kz,Ez,_z,Az,$z,Dz,Rz,Fz,Oz,Pz,Lz,Mz,zz,Vz,Gz,Wz,Uz,qz,Kz,jz,Xz,Yz,Zz,Jz,Qz,t3,gM,e3,pz,r3,n3,o3,yM,s3,i3,a3,l3,u3,c3,p3,m3,f3,d3,g3,x3,y3,b3,w3,C3,S3,N3,T3,k3,E3,_3,F3,CM,O3,P3,L3,M3,rz,z3,G3,W3,U3,H3,bM,q3,K3,j3,X3,Y3,nz,A3,Z3,J3,Q3,SM,tB,eB,rB,nB,oB,sB,iB,aB,lB,uB,cB,pB,mB,fB,dB,hB,JM,R3,gB,xB,yB,bB,wB,CB,IB,SB,NB,TB,EB,_B,AB,$B,DB,RB,D3,NM,FB,OB,PB,MB,zB,TM,BB,VB,GB,B3];for(let r of bst)Lu(r);var qt;(function(r){r[r.float32=0]=\"float32\",r[r.int32=1]=\"int32\",r[r.bool=2]=\"bool\",r[r.string=3]=\"string\",r[r.complex64=4]=\"complex64\"})(qt||(qt={}));var Du;(function(r){r[r.linear=0]=\"linear\",r[r.relu=1]=\"relu\",r[r.relu6=2]=\"relu6\",r[r.prelu=3]=\"prelu\",r[r.leakyrelu=4]=\"leakyrelu\",r[r.sigmoid=5]=\"sigmoid\",r[r.elu=6]=\"elu\"})(Du||(Du={}));var WB;function wst(r){WB=r.wasm.cwrap(Ci,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Cst(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s,bias:i,preluActivationWeights:a}=t;if(o.dtype!==\"float32\"||s.dtype!==\"float32\")throw new Error(\"_FusedMatMul for non non-float32 tensors not yet supported.\");let{transposeA:u,transposeB:l,activation:c,leakyreluAlpha:p}=n,m=e.dataIdMap.get(o.dataId).id,f=e.dataIdMap.get(s.dataId).id,d=0;if(i!=null){let $=e.dataIdMap.get(i.dataId);if($.shape.length!==1)throw new Error(`_FusedMatMul only supports rank-1 bias but got rank ${$.shape.length}.`);d=$.id}let h=a==null?0:e.dataIdMap.get(a.dataId).id,g=Du[c];if(g==null)throw new Error(`${c} activation not yet supported for FusedConv2D in the wasm backend.`);let x=u?o.shape[2]:o.shape[1],b=l?s.shape[1]:s.shape[2],w=Vr.assertAndGetBroadcastShape(o.shape.slice(0,-2),s.shape.slice(0,-2)),C=e.makeOutput([...w,x,b],o.dtype),N=e.dataIdMap.get(C.dataId).id,_=new Uint8Array(new Int32Array(o.shape).buffer),A=new Uint8Array(new Int32Array(s.shape).buffer);return WB(m,_,o.shape.length,f,A,s.shape.length,u,l,g,d,h,p||0,N),C}var UB={kernelName:Ci,backendName:\"wasm\",setupFunc:wst,kernelFunc:Cst};function se(r,t){let e;function n(s){e=s.wasm.cwrap(r,null,[\"number\",\"number\",\"number\"])}function o(s){let{backend:i,inputs:{x:a}}=s,u=i.dataIdMap.get(a.dataId).id,l=i.makeOutput(a.shape,t||a.dtype),c=i.dataIdMap.get(l.dataId).id;return y.sizeFromShape(l.shape)===0||e(u,qt[a.dtype],c),l}return{kernelName:r,backendName:\"wasm\",setupFunc:n,kernelFunc:o}}var HB=se(ii);function ue(r,t,e){let n;function o(i){n=i.wasm.cwrap(r,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"number\",\"number\",\"number\"])}function s(i){let{backend:a,inputs:u}=i,{a:l,b:c}=u,p=a.dataIdMap.get(l.dataId).id,m=a.dataIdMap.get(c.dataId).id,f=e!=null?e:l.dtype,d=v.assertAndGetBroadcastShape(l.shape,c.shape),h=a.makeOutput(d,f);if(y.sizeFromShape(d)===0)return h;let g=new Uint8Array(new Int32Array(l.shape).buffer),x=new Uint8Array(new Int32Array(c.shape).buffer),b=a.dataIdMap.get(h.dataId).id;return(()=>n(p,g,l.shape.length,m,x,c.shape.length,qt[l.dtype],b))(),h}return{kernelName:r,backendName:\"wasm\",setupFunc:o,kernelFunc:s}}var Ist=!0,qB=ue(Zn,Ist);var KB;function Sst(r){KB=r.wasm.cwrap(Go,null,[\"array\",\"number\",\"number\",\"number\"])}function vst(r){let{inputs:t,backend:e}=r,n=e.makeOutput(t[0].shape,t[0].dtype);if(y.sizeFromShape(n.shape)===0)return n;let o=t.map(a=>e.dataIdMap.get(a.dataId).id),s=new Uint8Array(new Int32Array(o).buffer),i=e.dataIdMap.get(n.dataId).id;return KB(s,o.length,qt[n.dtype],i),n}var jB={kernelName:Go,backendName:\"wasm\",setupFunc:Sst,kernelFunc:vst};function jc(r){let{inputs:{x:t},backend:e}=r;if(t.dtype===\"string\")return ur(e.readSync(t.dataId),t.shape,t.dtype);let n=e.makeOutput(t.shape,t.dtype),o=e.typedArrayFromHeap(t);return e.typedArrayFromHeap(n).set(o),n}var XB={kernelName:co,backendName:\"wasm\",kernelFunc:jc};var YB;function Nst(r){YB=r.wasm.cwrap(Qn,null,[\"number\",\"array\",\"number\",\"number\",\"number\",\"array\",\"number\"])}function ao(r){let{inputs:t,backend:e,attrs:n}=r,[o,s]=kst(t.x.shape,n.perm),i=!0;for(let d=0;d=o&&(s===-1||n[s]>n[i])&&(s=i);n[s]=o}return[e,n]}var ZB={kernelName:Qn,backendName:\"wasm\",kernelFunc:ao,setupFunc:Nst};function bn(r,t,e){let n=r.shape,o=r.shape.length,s=y.parseAxisParam(t,n),i=s,a=v.getAxesPermutation(i,o),u=null,l=!1;if(a!=null){let c=new Array(o);for(let f=0;f`new shape: ${i}, old shape: ${n.shape}. New shape and old shape must have the same number of elements.`),r.backend.incRef(n.dataId),{dataId:n.dataId,shape:i,dtype:n.dtype}}var iV={kernelName:di,backendName:\"wasm\",kernelFunc:ar};var aV;function Pst(r){aV=r.wasm.cwrap(Ho,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"number\",\"number\",\"number\",\"number\"])}function Lst(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s}=t,{transposeA:i,transposeB:a}=n;if(o.dtype!==\"float32\"||s.dtype!==\"float32\")throw new Error(\"BatchMatMul for non non-float32 tensors not yet supported.\");let u=o.shape.length,l=s.shape.length,c=i?o.shape[u-2]:o.shape[u-1],p=a?s.shape[l-1]:s.shape[l-2],m=i?o.shape[u-1]:o.shape[u-2],f=a?s.shape[l-2]:s.shape[l-1],d=o.shape.slice(0,-2),h=s.shape.slice(0,-2),g=y.sizeFromShape(d),x=y.sizeFromShape(h),w=Vr.assertAndGetBroadcastShape(o.shape.slice(0,-2),s.shape.slice(0,-2)).concat([m,f]);y.assert(c===p,()=>`Error in matMul: inner shapes (${c}) and (${p}) of Tensors with shapes ${o.shape} and ${s.shape} and transposeA=${i} and transposeB=${a} must match.`);let C=i?[g,c,m]:[g,m,c],N=a?[x,f,p]:[x,p,f],_=ar({inputs:{x:o},backend:e,attrs:{shape:C}}),A=ar({inputs:{x:s},backend:e,attrs:{shape:N}}),$=e.dataIdMap.get(_.dataId).id,F=e.dataIdMap.get(A.dataId).id,P=i?_.shape[2]:_.shape[1],V=a?A.shape[1]:A.shape[2],G=Math.max(g,x),W=e.makeOutput([G,P,V],_.dtype),q=e.dataIdMap.get(W.dataId).id,H=new Uint8Array(new Int32Array(_.shape).buffer),j=new Uint8Array(new Int32Array(A.shape).buffer);return aV($,H,_.shape.length,F,j,A.shape.length,i,a,q),e.disposeData(_.dataId),e.disposeData(A.dataId),W.shape=w,W}var lV={kernelName:Ho,backendName:\"wasm\",setupFunc:Pst,kernelFunc:Lst};function Lo(r){let{inputs:{x:t},attrs:{begin:e,size:n},backend:o}=r,[s,i]=Le.parseSliceParams(t,e,n),a=Le.isSliceContinous(t.shape,s,i),u=o.readSync(t.dataId),l=o.makeOutput(i,t.dtype),c=y.computeStrides(t.shape),p=o.dataIdMap.get(l.dataId);if(a){let d=Le.computeFlatOffset(s,c);return t.dtype===\"string\"?p.stringBytes=u.slice(d,d+y.sizeFromShape(i)):o.typedArrayFromHeap(l).set(u.subarray(d,d+y.sizeFromShape(i))),l}if(t.dtype===\"string\"){let d=$c(u,s,i,t.shape,t.dtype);return p.stringBytes=d,l}let m=o.typedArrayFromHeap(l),f=t.shape.length;if(f===2)Mst(u,c[0],m,s,i);else if(f===3)zst(u,c[0],c[1],m,s,i);else if(f===4)Bst(u,c[0],c[1],c[2],m,s,i);else{let d=$c(u,s,i,t.shape,t.dtype);m.set(d)}return l}function Mst(r,t,e,n,o){let s=0,i=n[0],a=n[1],u=i+o[0];for(let l=i;lx*b),u=v.getReshaped(o.shape,s,a),l=v.getPermuted(u.length,s.length),c=v.getReshapedPermuted(o.shape,s,a),p=v.getSliceBeginCoords(i,s.length),m=v.getSliceSize(c,i,s.length),f=ar({inputs:{x:o},backend:e,attrs:{shape:u}}),d=ao({inputs:{x:f},backend:e,attrs:{perm:l}}),h=ar({inputs:{x:d},backend:e,attrs:{shape:c}}),g=Lo({inputs:{x:h},backend:e,attrs:{begin:p,size:m}});return e.disposeData(f.dataId),e.disposeData(d.dataId),e.disposeData(f.dataId),g}var cV={kernelName:ai,backendName:\"wasm\",kernelFunc:Vst};function ni(r){let{inputs:{x:t},attrs:{dtype:e},backend:n}=r,o=n.makeOutput(t.shape,e),s=n.typedArrayFromHeap(t);return n.typedArrayFromHeap(o).set(s),o}var pV={kernelName:lo,backendName:\"wasm\",kernelFunc:ni};var mV=se(qo);var fV;function Gst(r){fV=r.wasm.cwrap(uo,null,[\"number\",\"number\",\"number\",\"number\"])}function Wst(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{clipValueMin:s,clipValueMax:i}=n,a=e.dataIdMap.get(o.dataId).id,u=e.makeOutput(o.shape,o.dtype),l=e.dataIdMap.get(u.dataId).id;return fV(a,s,i,l),u}var dV={kernelName:uo,backendName:\"wasm\",setupFunc:Gst,kernelFunc:Wst};function _k(r){let{inputs:t,backend:e}=r,n=y.parseAxisParam(r.attrs.axis,t[0].shape)[0],o=t.map(f=>f.shape);v.assertParamsConsistent(o,n);let s=v.computeOutShape(t.map(f=>f.shape),n),i=t.filter(f=>y.sizeFromShape(f.shape)>0);if(i.length===1)return jc({inputs:{x:i[0]},backend:e});let a=e.makeOutput(s,t[0].dtype);if(y.sizeFromShape(s)===0)return a;if(i[0].dtype===\"string\"){let f=i.map(w=>{let C=y.sizeFromShape(w.shape.slice(n));return ar({inputs:{x:w},backend:e,attrs:{shape:[-1,C]}})}),d=f.map(w=>({vals:e.readSync(w.dataId),shape:w.shape}));s=v.computeOutShape(f.map(w=>w.shape),1);let h=f[0].shape[0]===1,g=Ec(d,s,t[0].dtype,h),x=v.computeOutShape(i.map(w=>w.shape),n);a.shape=x;let b=e.dataIdMap.get(a.dataId);return b.stringBytes=v.fromStringArrayToUint8(g),f.forEach(w=>e.disposeData(w.dataId)),a}let u=y.sizeFromShape(i[0].shape.slice(0,n)),l=0,c=i.map(f=>{let d=y.sizeFromShape(f.shape.slice(n));return l+=d,d}),p=i.map(f=>e.typedArrayFromHeap(f)),m=e.typedArrayFromHeap(a);for(let f=0;f`cumprod does not support ${o.dtype} tensors in the WASM backend`);let l=v.getAxesPermutation([s],u),c=o;l!==null&&(c=ao({inputs:{x:o},attrs:{perm:l},backend:e}));let p=v.getInnerMostAxes(1,u)[0];v.assertAxesAreInnerMostDims(\"cumprod\",[p],u);let m=e.makeOutput(c.shape,c.dtype),f=c.shape[p],d=e.dataIdMap.get(c.dataId).id,h=e.dataIdMap.get(m.dataId).id;vV(d,i?1:0,a?1:0,f,h,qt[o.dtype]);let g=m;if(l!==null){let x=v.getUndoAxesPermutation(l);g=ao({inputs:{x:m},attrs:{perm:x},backend:e}),e.disposeData(c.dataId),e.disposeData(m.dataId)}return g}var NV={kernelName:fa,backendName:\"wasm\",setupFunc:Yst,kernelFunc:Zst};var TV;function Jst(r){TV=r.wasm.cwrap(Zo,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Qst(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,exclusive:i,reverse:a}=n,u=o.shape.length;y.assert(o.dtype===\"float32\"||o.dtype===\"int32\",()=>`cumsum does not support ${o.dtype} tensors in the WASM backend`);let l=v.getAxesPermutation([s],u),c=o;l!==null&&(c=ao({inputs:{x:o},attrs:{perm:l},backend:e}));let p=v.getInnerMostAxes(1,u)[0];v.assertAxesAreInnerMostDims(\"cumsum\",[p],u);let m=e.makeOutput(c.shape,c.dtype),f=c.shape[p],d=e.dataIdMap.get(c.dataId).id,h=e.dataIdMap.get(m.dataId).id;TV(d,i?1:0,a?1:0,f,h,qt[o.dtype]);let g=m;if(l!==null){let x=v.getUndoAxesPermutation(l);g=ao({inputs:{x:m},attrs:{perm:x},backend:e}),e.disposeData(c.dataId),e.disposeData(m.dataId)}return g}var kV={kernelName:Zo,backendName:\"wasm\",setupFunc:Jst,kernelFunc:Qst};var EV;function tit(r){EV=r.wasm.cwrap(ha,null,[\"number\",\"number\",\"number\",\"array\",\"number\",\"array\",\"array\",\"number\",\"number\"])}function eit(r){let{backend:t,inputs:e,attrs:n}=r,{x:o}=e,{blockSize:s,dataFormat:i}=n,a=o.shape[0],u=i===\"NHWC\"?o.shape[1]:o.shape[2],l=i===\"NHWC\"?o.shape[2]:o.shape[3],c=i===\"NHWC\"?o.shape[3]:o.shape[1],p=u*s,m=l*s,f=c/(s*s),d=i===\"NHWC\"?[a,p,m,f]:[a,f,p,m],h=t.makeOutput(d,\"float32\"),x=t.dataIdMap.get(o.dataId).id,b=new Uint8Array(new Int32Array(y.computeStrides(o.shape)).buffer),w=new Uint8Array(new Int32Array(d).buffer),C=new Uint8Array(new Int32Array(y.computeStrides(d)).buffer),N=t.dataIdMap.get(h.dataId).id;return EV(x,s,i===\"NHWC\"?1:0,b,o.shape.length-1,w,C,d.length,N),h}var _V={kernelName:ha,backendName:\"wasm\",setupFunc:tit,kernelFunc:eit};var AV;function rit(r){AV=r.wasm.cwrap(Jo,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function nit(r){let{inputs:t,attrs:e,backend:n}=r,{x:o,filter:s}=t,i=n.dataIdMap.get(o.dataId).id,a=n.dataIdMap.get(s.dataId).id,{strides:u,dilations:l,pad:c,dimRoundingMode:p}=e,m=l==null?[1,1]:l,f=v.computeConv2DInfo(o.shape,s.shape,u,m,c,p,!0),d=f.filterHeight,h=f.filterWidth,g=f.padInfo.top,x=f.padInfo.right,b=f.padInfo.bottom,w=f.padInfo.left,C=f.dilationHeight,N=f.dilationWidth,_=f.strideHeight,A=f.strideWidth,$=f.inChannels,F=f.outChannels,P=f.padInfo.type===\"SAME\"?1:0;if(f.dataFormat!==\"channelsLast\")throw new Error(`wasm backend DepthwiseConv2dNative does not support dataFormat:'${f.dataFormat}'. Please use 'channelsLast'.`);let V=n.makeOutput(f.outShape,\"float32\"),G=n.dataIdMap.get(V.dataId).id;return AV(i,o.shape[0],o.shape[1],o.shape[2],a,d,h,g,x,b,w,P,C,N,_,A,$,F,G),V}var $V={kernelName:Jo,backendName:\"wasm\",setupFunc:rit,kernelFunc:nit};var DV=se(ts);var oit=!1,RV=ue(xa,oit,\"bool\");var FV=se(es,\"float32\");function uI(r){let{inputs:t,attrs:e,backend:n}=r,{input:o}=t,{dim:s}=e,i=o.shape.length,a=o.shape.slice(),u=s;return s<0&&(y.assert(-(i+1)<=s,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),u=i+s+1),a.splice(u,0,1),ar({inputs:{x:o},backend:n,attrs:{shape:a}})}var OV={kernelName:ui,backendName:\"wasm\",kernelFunc:uI};function $k(r){let{attrs:{shape:t,value:e,dtype:n},backend:o}=r,s=o.makeOutput(t,n);return o.typedArrayFromHeap(s).fill(e),s}var PV={kernelName:Dl,backendName:\"wasm\",kernelFunc:$k};var LV;function sit(r){LV=r.wasm.cwrap(ba,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function iit(r){let{inputs:t,backend:e}=r,{image:n}=t,o=e.makeOutput(n.shape,n.dtype),s=e.dataIdMap.get(n.dataId).id,i=e.dataIdMap.get(o.dataId).id,[a,u,l,c]=n.shape;return LV(s,a,u,l,c,i),o}var MV={kernelName:ba,backendName:\"wasm\",kernelFunc:iit,setupFunc:sit};var zV=se(rs);var ait=!1,BV=ue(ns,ait);var VV;function lit(r){VV=r.wasm.cwrap(os,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function uit(r){let{backend:t,inputs:e,attrs:n}=r,{varianceEpsilon:o}=n,{x:s,mean:i,variance:a,offset:u,scale:l}=e,c=t.dataIdMap.get(s.dataId).id,p=t.dataIdMap.get(i.dataId).id,m=t.dataIdMap.get(a.dataId).id,f=u!=null?t.dataIdMap.get(u.dataId).id:0,d=l!=null?t.dataIdMap.get(l.dataId).id:0,h=t.makeOutput(s.shape,s.dtype);if(y.sizeFromShape(s.shape)===0)return h;let g=t.dataIdMap.get(h.dataId).id;return VV(c,p,m,f,d,o,g),h}var GV={kernelName:os,backendName:\"wasm\",setupFunc:lit,kernelFunc:uit};var WV;function cit(r){WV=r.wasm.cwrap(Ii,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function pit(r){let{inputs:t,attrs:e,backend:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dilations:c,dataFormat:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=e,h=v.computeConv2DInfo(o.shape,s.shape,u,c,l,m),g=Du[f];if(g==null)throw new Error(`${f} activation not yet supported for FusedConv2D in the wasm backend.`);let x=n.dataIdMap.get(o.dataId).id,b=n.dataIdMap.get(s.dataId).id,w=h.outChannels,C=0;if(i!=null){let nt=n.dataIdMap.get(i.dataId);if(nt.shape.length!==1)throw new Error(`FusedConv2D only supports rank-1 bias but got rank ${nt.shape.length}.`);if(nt.shape[0]!==w)throw new Error(`FusedConv2D bias shape (${nt.shape}) does not match the number of output channels (${w})`);C=nt.id}let N=h.filterHeight,_=h.filterWidth,A=h.padInfo.top,$=h.padInfo.right,F=h.padInfo.bottom,P=h.padInfo.left,V=h.dilationHeight,G=h.dilationWidth,W=h.strideHeight,q=h.strideWidth,H=h.inChannels,j=h.padInfo.type===\"SAME\"?1:0,Y=h.batchSize,Z=h.inHeight,et=h.inWidth;if(p!==\"NHWC\")throw new Error(`wasm backend FusedConv2D does not support dataFormat:'${p}'. Please use 'NHWC'.`);let rt=n.makeOutput(h.outShape,\"float32\"),ot=n.dataIdMap.get(rt.dataId).id,at=a==null?0:n.dataIdMap.get(a.dataId).id;return WV(x,Y,Z,et,b,N,_,C,A,$,F,P,j,V,G,W,q,H,w,g,at,d||0,ot),rt}var UV={kernelName:Ii,backendName:\"wasm\",setupFunc:cit,kernelFunc:pit};var HV;function mit(r){HV=r.wasm.cwrap(Si,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function fit(r){let{inputs:t,attrs:e,backend:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dilations:c,dataFormat:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=e,h=v.computeConv2DInfo(o.shape,s.shape,u,c,l,m,!0),g=Du[f];if(g==null)throw new Error(`${f} activation not yet supported for FusedDepthwiseConv2D in the wasm backend.`);let x=n.dataIdMap.get(o.dataId).id,b=n.dataIdMap.get(s.dataId).id,w=h.outChannels,C=0;if(i!=null){let nt=n.dataIdMap.get(i.dataId);if(nt.shape.length!==1)throw new Error(`FusedDepthwiseConv2D only supports rank-1 bias but got rank ${nt.shape.length}.`);if(nt.shape[0]!==w)throw new Error(`FusedDepthwiseConv2D bias shape (${nt.shape}) does not match the number of output channels (${w})`);C=nt.id}let N=h.filterHeight,_=h.filterWidth,A=h.padInfo.top,$=h.padInfo.right,F=h.padInfo.bottom,P=h.padInfo.left,V=h.dilationHeight,G=h.dilationWidth,W=h.strideHeight,q=h.strideWidth,H=h.inChannels,j=h.padInfo.type===\"SAME\"?1:0,Y=h.batchSize,Z=h.inHeight,et=h.inWidth;if(p!==\"NHWC\")throw new Error(`wasm backend FusedDepthwiseConv2D does not support dataFormat:'${p}'. Please use 'NHWC'.`);let rt=n.makeOutput(h.outShape,\"float32\"),ot=n.dataIdMap.get(rt.dataId).id,at=a==null?0:n.dataIdMap.get(a.dataId).id;return HV(x,Y,Z,et,b,N,_,C,A,$,F,P,j,V,G,W,q,H,w,g,at,d||0,ot),rt}var qV={kernelName:Si,backendName:\"wasm\",setupFunc:mit,kernelFunc:fit};var KV;function dit(r){KV=r.wasm.cwrap(wa,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"array\",\"number\"])}function hit(r){let{backend:t,inputs:e}=r,{params:n,indices:o}=e,[s,i,a,u]=ox.prepareAndValidate(n,o),l=t.makeOutput(s,n.dtype);if(i===0)return l;let c=o.shape,p=c[c.length-1],f=t.dataIdMap.get(n.dataId).id,h=t.dataIdMap.get(o.dataId).id,g=new Uint8Array(new Int32Array(u).buffer),x=t.dataIdMap.get(l.dataId).id;return KV(f,qt[n.dtype],h,i,p,a,g,x),l}var jV={kernelName:wa,backendName:\"wasm\",setupFunc:dit,kernelFunc:hit};var XV;function git(r){XV=r.wasm.cwrap(\"Gather\",null,[\"number\",\"number\",\"array\",\"number\",\"number\",\"number\",\"array\",\"number\"])}function xit(r){let{backend:t,inputs:e,attrs:n}=r,{x:o,indices:s}=e,{axis:i,batchDims:a}=n,u=y.parseAxisParam(i,o.shape)[0],l=t.readSync(s.dataId),c=o.shape[u];for(let F=0;F=0,()=>`GatherV2: the index value ${P} is not in [0, ${c-1}]`)}let p=v.segment_util.collectGatherOpShapeInfo(o,s,u,a),m=ar({inputs:{x:o},attrs:{shape:[p.batchSize,p.outerSize,p.dimSize,p.sliceSize]},backend:t}),f=y.sizeFromShape(s.shape),d=ar({inputs:{x:s},attrs:{shape:[p.batchSize,f/p.batchSize]},backend:t}),h=[p.batchSize,p.outerSize,f/p.batchSize,p.sliceSize],g=t.makeOutput(h,o.dtype);if(y.sizeFromShape(o.shape)===0)return g;let x=m.shape.length-1,w=t.dataIdMap.get(m.dataId).id,N=t.dataIdMap.get(d.dataId).id,_=t.dataIdMap.get(g.dataId).id,A=new Uint8Array(new Int32Array(y.computeStrides(m.shape)).buffer),$=new Uint8Array(new Int32Array(y.computeStrides(h)).buffer);return XV(w,qt[o.dtype],A,x,N,p.batchSize,$,_),t.disposeData(m.dataId),t.disposeData(d.dataId),g.shape=p.outputShape,g}var YV={kernelName:ci,backendName:\"wasm\",setupFunc:git,kernelFunc:xit};var yit=!1,ZV=ue(Ca,yit,\"bool\");var bit=!1,JV=ue(ss,bit,\"bool\");var QV;function wit(r){QV=r.wasm.cwrap(is,null,[\"number\",\"number\",\"number\",\"number\"])}function Cit(r){let{inputs:{x:t},attrs:{alpha:e},backend:n}=r,o=n.dataIdMap.get(t.dataId).id,s=n.makeOutput(t.shape,\"float32\");if(y.sizeFromShape(t.shape)!==0){let i=n.dataIdMap.get(s.dataId).id;QV(o,qt[t.dtype],e,i)}return s}var tG={kernelName:is,backendName:\"wasm\",setupFunc:wit,kernelFunc:Cit};var Iit=!1,eG=ue(Na,Iit,\"bool\");var Sit=!1,rG=ue(Ta,Sit,\"bool\");var nG=se(as);var vit=!1,oG=ue(Ea,vit,\"bool\");var sG=se(_a);var Nit=!1,iG=ue(Aa,Nit,\"bool\");var Tit=!1,aG=ue(m1,Tit,\"bool\");var lG;function kit(r){lG=r.wasm.cwrap(ls,null,[\"number\",\"number\",\"number\",\"number\"])}function Eit(r){let{backend:t,inputs:e,attrs:n}=r,{reductionIndices:o,keepDims:s}=n,{x:i}=e,u=t.dataIdMap.get(i.dataId).id,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=bn(i,o,t);if(f){let w=t.dataIdMap.get(c.dataId).id;l=c,u=w}let d=l.shape.length;v.assertAxesAreInnerMostDims(\"max\",p,d);let[h,g]=v.computeOutAndReduceShapes(l.shape,p),x=y.sizeFromShape(g),b=t.makeOutput(h,i.dtype);if(y.sizeFromShape(l.shape)!==0){let w=t.dataIdMap.get(b.dataId).id;lG(u,qt[i.dtype],x,w)}if(f&&t.disposeData(c.dataId),s){let w=v.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var uG={kernelName:ls,backendName:\"wasm\",setupFunc:kit,kernelFunc:Eit};var _it=!1,cG=ue(us,_it);var pG;function Ait(r){pG=r.wasm.cwrap(cs,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function $it(r){let{inputs:t,attrs:e,backend:n}=r,o=t.x,s=n.dataIdMap.get(o.dataId).id;y.assert(o.dtype===\"float32\",()=>`Error in MaxPool: only float32 input is supported. Got ${o.dtype}.`);let{filterSize:i,strides:a,pad:u,dimRoundingMode:l}=e,c=v.computePool2DInfo(o.shape,i,a,1,u,l),p=c.filterHeight,m=c.filterWidth,f=c.padInfo.top,d=c.padInfo.right,h=c.padInfo.bottom,g=c.padInfo.left,x=c.dilationHeight,b=c.dilationWidth,w=c.strideHeight,C=c.strideWidth,N=c.inChannels,_=c.outChannels;if(c.dataFormat!==\"channelsLast\")throw new Error(`wasm backend does not support dataFormat:'${c.dataFormat}'. Please use 'channelsLast'.`);let A=n.makeOutput(c.outShape,\"float32\"),$=n.dataIdMap.get(A.dataId).id;return pG(s,o.shape[0],o.shape[1],o.shape[2],p,m,f,d,h,g,x,b,w,C,N,_,$),A}var mG={kernelName:cs,backendName:\"wasm\",setupFunc:Ait,kernelFunc:$it};var fG;function Dit(r){fG=r.wasm.cwrap(ps,null,[\"number, number, number\"])}function Rit(r){let{backend:t,inputs:e,attrs:n}=r,{axis:o,keepDims:s}=n,{x:i}=e,a=t.dataIdMap.get(i.dataId).id,u=a,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=bn(i,o,t),d=p;if(f){let C=t.dataIdMap.get(c.dataId).id;C!==a&&(l=c,u=C,d=v.getInnerMostAxes(d.length,l.shape.length))}v.assertAxesAreInnerMostDims(\"mean\",d,l.shape.length);let[h,g]=v.computeOutAndReduceShapes(l.shape,d),x=y.sizeFromShape(g),b=l;l.dtype!==\"float32\"&&(b=ni({backend:t,inputs:{x:l},attrs:{dtype:\"float32\"}}),u=t.dataIdMap.get(b.dataId).id);let w=t.makeOutput(h,\"float32\");if(y.sizeFromShape(l.shape)!==0){let C=t.dataIdMap.get(w.dataId).id;fG(u,x,C)}if(f&&t.disposeData(c.dataId),s){let C=v.expandShapeToKeepDim(w.shape,m);w.shape=C}return l.dtype!==\"float32\"&&t.disposeData(b.dataId),w}var dG={kernelName:ps,backendName:\"wasm\",setupFunc:Dit,kernelFunc:Rit};var hG;function Fit(r){hG=r.wasm.cwrap(ms,null,[\"number\",\"number\",\"number\",\"number\"])}function Oit(r){let{backend:t,inputs:e,attrs:n}=r,{axis:o,keepDims:s}=n,{x:i}=e,a=t.dataIdMap.get(i.dataId).id,u=a,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=bn(i,o,t);if(f){let w=t.dataIdMap.get(c.dataId).id;w!==a&&(l=c,u=w)}let d=l.shape.length;v.assertAxesAreInnerMostDims(\"min\",p,d);let[h,g]=v.computeOutAndReduceShapes(l.shape,p),x=y.sizeFromShape(g),b=t.makeOutput(h,l.dtype);if(y.sizeFromShape(l.shape)!==0){let w=t.dataIdMap.get(b.dataId).id;hG(u,qt[i.dtype],x,w)}if(f&&t.disposeData(c.dataId),s){let w=v.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var gG={kernelName:ms,backendName:\"wasm\",setupFunc:Fit,kernelFunc:Oit};var Pit=!1,xG=ue(fs,Pit);var Dk;(function(r){r[r.reflect=0]=\"reflect\",r[r.symmetric=1]=\"symmetric\"})(Dk||(Dk={}));var yG;function Lit(r){yG=r.wasm.cwrap(ds,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"array\",\"number\",\"number\"])}function Mit(r){let{inputs:{x:t},backend:e,attrs:{paddings:n,mode:o}}=r,s=n.map((d,h)=>d[0]+t.shape[h]+d[1]),i=e.dataIdMap.get(t.dataId).id,a=e.makeOutput(s,t.dtype),u=e.dataIdMap.get(a.dataId).id,l=new Uint8Array(new Int32Array(t.shape).buffer),c=n.map(d=>d[0]),p=n.map(d=>d[1]),m=new Uint8Array(new Int32Array(c).buffer),f=new Uint8Array(new Int32Array(p).buffer);return yG(i,l,t.shape.length,qt[t.dtype],m,f,Dk[o],u),a}var bG={kernelName:ds,backendName:\"wasm\",kernelFunc:Mit,setupFunc:Lit};var zit=!0,wG=ue(hs,zit);var CG=se(pi);function Dd(r,t){let e=new Int32Array(r.wasm.HEAPU8.buffer,t,4),n=e[0],o=e[1],s=e[2],i=e[3];return r.wasm._free(t),{pSelectedIndices:n,selectedSize:o,pSelectedScores:s,pValidOutputs:i}}var IG;function Bit(r){IG=r.wasm.cwrap(Ra,\"number\",[\"number\",\"number\",\"number\",\"number\",\"number\"])}function Vit(r){let{backend:t,inputs:e,attrs:n}=r,{iouThreshold:o,maxOutputSize:s,scoreThreshold:i}=n,{boxes:a,scores:u}=e,l=t.dataIdMap.get(a.dataId).id,c=t.dataIdMap.get(u.dataId).id,p=IG(l,c,s,o,i),{pSelectedIndices:m,selectedSize:f,pSelectedScores:d,pValidOutputs:h}=Dd(t,p);return t.wasm._free(d),t.wasm._free(h),t.makeOutput([f],\"int32\",m)}var SG={kernelName:Ra,backendName:\"wasm\",setupFunc:Bit,kernelFunc:Vit};var vG;function Git(r){vG=r.wasm.cwrap(Fa,\"number\",[\"number\",\"number\",\"number\",\"number\",\"number\",\"bool\"])}function Wit(r){let{backend:t,inputs:e,attrs:n}=r,{iouThreshold:o,maxOutputSize:s,scoreThreshold:i,padToMaxOutputSize:a}=n,{boxes:u,scores:l}=e,c=t.dataIdMap.get(u.dataId).id,p=t.dataIdMap.get(l.dataId).id,m=vG(c,p,s,o,i,a),{pSelectedIndices:f,selectedSize:d,pSelectedScores:h,pValidOutputs:g}=Dd(t,m);t.wasm._free(h);let x=t.makeOutput([d],\"int32\",f),b=t.makeOutput([],\"int32\",g);return[x,b]}var NG={kernelName:Fa,backendName:\"wasm\",setupFunc:Git,kernelFunc:Wit};var TG;function Uit(r){TG=r.wasm.cwrap(Oa,\"number\",[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Hit(r){let{backend:t,inputs:e,attrs:n}=r,{iouThreshold:o,maxOutputSize:s,scoreThreshold:i,softNmsSigma:a}=n,{boxes:u,scores:l}=e,c=t.dataIdMap.get(u.dataId).id,p=t.dataIdMap.get(l.dataId).id,m=TG(c,p,s,o,i,a),{pSelectedIndices:f,selectedSize:d,pSelectedScores:h,pValidOutputs:g}=Dd(t,m);t.wasm._free(g);let x=t.makeOutput([d],\"int32\",f),b=t.makeOutput([d],\"float32\",h);return[x,b]}var kG={kernelName:Oa,backendName:\"wasm\",setupFunc:Uit,kernelFunc:Hit};var qit=!1,EG=ue(Da,qit,\"bool\");var _G;function Kit(r){_G=r.wasm.cwrap(gs,null,[\"number\",\"number\",\"number\",\"number\",\"number\"])}function jit(r){let{inputs:t,backend:e,attrs:n}=r,{indices:o}=t,{dtype:s,depth:i,onValue:a,offValue:u}=n,l=e.makeOutput([...o.shape,i],s),c=e.dataIdMap.get(l.dataId).id,m=e.dataIdMap.get(o.dataId).id;return _G(m,i,a,u,c),l}var AG={kernelName:gs,backendName:\"wasm\",setupFunc:Kit,kernelFunc:jit};function Xit(r){let{inputs:{x:t},backend:e}=r,n=e.makeOutput(t.shape,t.dtype);return e.typedArrayFromHeap(n).fill(1),n}var $G={kernelName:mi,backendName:\"wasm\",kernelFunc:Xit};function Yit(r){let{inputs:t,backend:e,attrs:n}=r,{axis:o}=n;if(t.length===1)return uI({inputs:{input:t[0]},backend:e,attrs:{dim:o}});let s=t[0].shape,i=t[0].dtype;t.forEach(c=>{y.assertShapesMatch(s,c.shape,\"All tensors passed to stack must have matching shapes\"),y.assert(i===c.dtype,()=>\"All tensors passed to stack must have matching dtypes\")});let a=[],u=t.map(c=>{let p=uI({inputs:{input:c},backend:e,attrs:{dim:o}});return a.push(p),p}),l=_k({inputs:u,backend:e,attrs:{axis:o}});return a.forEach(c=>e.disposeData(c.dataId)),l}var DG={kernelName:fi,backendName:\"wasm\",kernelFunc:Yit};var RG;function Zit(r){RG=r.wasm.cwrap(xs,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"array\",\"number\",\"number\"])}function Jit(r){let{inputs:{x:t},backend:e,attrs:{paddings:n,constantValue:o}}=r,s=n.map((h,g)=>h[0]+t.shape[g]+h[1]);if(y.sizeFromShape(t.shape)===0)return $k({backend:e,attrs:{shape:s,value:o,dtype:t.dtype}});let i=e.dataIdMap.get(t.dataId).id,a=e.makeOutput(s,t.dtype),l=e.dataIdMap.get(a.dataId).id,c=new Uint8Array(new Int32Array(t.shape).buffer),p=n.map(h=>h[0]),m=n.map(h=>h[1]),f=new Uint8Array(new Int32Array(p).buffer),d=new Uint8Array(new Int32Array(m).buffer);return RG(i,c,t.shape.length,qt[t.dtype],f,d,o,l),a}var cI={kernelName:xs,backendName:\"wasm\",kernelFunc:Jit,setupFunc:Zit};var Qit=!1,FG=ue(ys,Qit);var OG;function tat(r){OG=r.wasm.cwrap(bs,null,[\"number\",\"number\",\"number\"])}function eat(r){let{inputs:t,backend:e}=r,{x:n,alpha:o}=t,s=e.dataIdMap.get(n.dataId).id,i=e.dataIdMap.get(o.dataId).id,a=s,u=n,l=u;u.dtype!==\"float32\"&&(l=ni({backend:e,inputs:{x:n},attrs:{dtype:\"float32\"}}),a=e.dataIdMap.get(l.dataId).id);let c=e.makeOutput(n.shape,\"float32\"),p=e.dataIdMap.get(c.dataId).id;return OG(a,i,p),u.dtype!==\"float32\"&&e.disposeData(l.dataId),c}var PG={kernelName:bs,backendName:\"wasm\",setupFunc:tat,kernelFunc:eat};var LG;function rat(r){LG=r.wasm.cwrap(ws,null,[\"number\",\"number\",\"number\",\"number\"])}function nat(r){let{backend:t,inputs:e,attrs:n}=r,{axis:o,keepDims:s}=n,{x:i}=e,a=t.dataIdMap.get(i.dataId).id,u=a,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=bn(i,o,t),d=p;if(f){let w=t.dataIdMap.get(c.dataId).id;w!==a&&(l=c,u=w,d=v.getInnerMostAxes(d.length,l.shape.length))}v.assertAxesAreInnerMostDims(\"prod\",d,l.shape.length);let[h,g]=v.computeOutAndReduceShapes(l.shape,d),x=y.sizeFromShape(g),b=t.makeOutput(h,l.dtype);if(y.sizeFromShape(l.shape)!==0){let w=t.dataIdMap.get(b.dataId).id;LG(u,x,qt[b.dtype],w)}if(f&&t.disposeData(c.dataId),s){let w=v.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var MG={kernelName:ws,backendName:\"wasm\",setupFunc:rat,kernelFunc:nat};var oat=r=>{let{backend:t,attrs:e}=r,{start:n,stop:o,step:s,dtype:i}=e,a=Ac(n,o,s,i),u=t.makeOutput([a.length],i);return t.typedArrayFromHeap(u).set(a),u},zG={kernelName:Ol,backendName:\"wasm\",kernelFunc:oat};var sat=!0,BG=ue(Qo,sat);var VG=se(Cs);var GG=se(vs);var WG;function iat(r){WG=r.wasm.cwrap(Ss,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function aat(r){let{backend:t,inputs:e,attrs:n}=r,{images:o}=e,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,[c,p,m,f]=o.shape,d=[c,u,l,f],h=t.dataIdMap.get(o.dataId),g;h.dtype!==\"float32\"&&(g=ni({backend:t,inputs:{x:o},attrs:{dtype:\"float32\"}}),h=t.dataIdMap.get(g.dataId));let x=h.id,b=t.makeOutput(d,\"float32\");if(y.sizeFromShape(o.shape)===0)return b;let w=t.dataIdMap.get(b.dataId).id;return WG(x,c,p,m,f,u,l,s?1:0,i?1:0,w),g!=null&&t.disposeData(g.dataId),b}var UG={kernelName:Ss,backendName:\"wasm\",setupFunc:iat,kernelFunc:aat};var HG;function lat(r){HG=r.wasm.cwrap(Is,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function uat(r){let{backend:t,inputs:e,attrs:n}=r,{images:o}=e,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,[c,p,m,f]=o.shape,d=[c,u,l,f],h=t.makeOutput(d,\"float32\");if(y.sizeFromShape(o.shape)===0)return h;let g=t.dataIdMap.get(o.dataId),x;g.dtype!==\"float32\"&&(x=ni({backend:t,inputs:{x:o},attrs:{dtype:\"float32\"}}),g=t.dataIdMap.get(x.dataId));let b=g.id,w=t.dataIdMap.get(h.dataId).id;return HG(b,c,p,m,f,u,l,s?1:0,i?1:0,w),x!=null&&t.disposeData(x.dataId),h}var qG={kernelName:Is,backendName:\"wasm\",setupFunc:lat,kernelFunc:uat};var KG;function cat(r){KG=r.wasm.cwrap(Ns,null,[\"number\",\"array\",\"number\",\"array\",\"number\",\"number\"])}function pat(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dims:s}=n,i=y.parseAxisParam(s,o.shape);if(o.shape.length===0)return jc({inputs:{x:o},backend:e});let a=e.makeOutput(o.shape,o.dtype),u=e.dataIdMap.get(o.dataId).id,l=e.dataIdMap.get(a.dataId).id,c=new Uint8Array(new Int32Array(i).buffer),p=new Uint8Array(new Int32Array(o.shape).buffer);KG(u,c,i.length,p,o.shape.length,l);let m=ar({inputs:{x:a},attrs:{shape:o.shape},backend:e});return e.disposeData(a.dataId),m}var jG={kernelName:Ns,backendName:\"wasm\",kernelFunc:pat,setupFunc:cat};var XG;function mat(r){XG=r.wasm.cwrap(qa,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"array\",\"number\",\"number\"])}function fat(r){let{inputs:t,backend:e,attrs:n}=r,{image:o}=t,{radians:s,fillValue:i,center:a}=n,u=e.makeOutput(o.shape,o.dtype),l=e.dataIdMap.get(o.dataId).id,c=e.dataIdMap.get(u.dataId).id,[p,m,f,d]=o.shape,[h,g]=v.getImageCenter(a,m,f),x=i===0,b=255,w=typeof i==\"number\"?[i,i,i,x?0:b]:[...i,b],C=new Uint8Array(new Int32Array(w).buffer);return XG(l,p,m,f,d,s,h,g,C,w.length,c),u}var YG={kernelName:qa,backendName:\"wasm\",kernelFunc:fat,setupFunc:mat};var ZG=se(Ts);var JG=se(ks);var QG;function dat(r){QG=r.wasm.cwrap(La,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"array\",\"number\",\"number\"])}function hat(r){let{backend:t,inputs:e,attrs:n}=r,{indices:o,updates:s}=e,{shape:i}=n,a=t.makeOutput(i,s.dtype);if(y.sizeFromShape(i)===0)return a;let{sliceRank:u,numUpdates:l,sliceSize:c,strides:p,outputSize:m}=lh.calculateShapes(s,o,i),d=t.dataIdMap.get(o.dataId).id,g=t.dataIdMap.get(s.dataId).id,x=new Uint8Array(new Int32Array(p).buffer),b=t.dataIdMap.get(a.dataId).id;return QG(d,g,qt[s.dtype],u,l,c,x,m,b),a}var tW={kernelName:La,backendName:\"wasm\",setupFunc:dat,kernelFunc:hat};var eW;function gat(r){eW=r.wasm.cwrap(\"SelectV2\",null,[\"number\",\"number\",\"number\",\"number\",\"number\"])}function xat(r){let{inputs:t,backend:e}=r,{condition:n,t:o,e:s}=t,i=e.dataIdMap.get(n.dataId).id,a=e.dataIdMap.get(o.dataId).id,u=e.dataIdMap.get(s.dataId).id,l=e.makeOutput(o.shape,o.dtype),c=e.dataIdMap.get(l.dataId).id,p=n.shape.length,m=o.shape.length,f=p===0||p>1||m===1?1:y.sizeFromShape(o.shape.slice(1));return eW(i,a,u,f,c),l}var rW={kernelName:hi,backendName:\"wasm\",kernelFunc:xat,setupFunc:gat};var nW;function yat(r){nW=r.wasm.cwrap(_s,null,[\"number\",\"number\"])}function bat(r){let{backend:t,inputs:{x:e}}=r,n=t.dataIdMap.get(e.dataId).id,o=t.makeOutput(e.shape,e.dtype),s=t.dataIdMap.get(o.dataId).id;return y.sizeFromShape(o.shape)===0||nW(n,s),o}var oW={kernelName:\"Sigmoid\",backendName:\"wasm\",setupFunc:yat,kernelFunc:bat};var sW=se(Es);var iW;function wat(r){iW=r.wasm.cwrap(Ds,null,[\"number\",\"number\",\"number\",\"number\"])}function Cat(r){let{backend:t,inputs:{logits:e},attrs:{dim:n}}=r,o=t.dataIdMap.get(e.dataId).id,s=t.makeOutput(e.shape,e.dtype),i=t.dataIdMap.get(s.dataId).id,a=e.shape[n],u=y.sizeFromShape(e.shape)/a;return y.sizeFromShape(s.shape)===0||iW(o,i,a,u),s}var aW={kernelName:Ds,backendName:\"wasm\",setupFunc:wat,kernelFunc:Cat};function Iat(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,paddings:i}=n,a=y.sizeFromShape(s),u=[[0,0]];u.push(...i);for(let _=1+s.length;_0?u+1:0;if(c<0)throw new Error(v.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let p=o.shape.slice();p[0]=c;let m=e.dataIdMap.get(o.dataId).id,f=e.dataIdMap.get(s.dataId).id,d=e.dataIdMap.get(i.dataId).id,h=e.makeOutput(p,o.dtype),g=e.dataIdMap.get(h.dataId).id,x=e.makeOutput([4],\"int32\"),b=e.dataIdMap.get(x.dataId).id;fW(m,qt[o.dtype],o.shape[0],f,d,g,b,t,0);let w=e.readSync(x.dataId),C;switch(w[0]){case 0:{C=v.getSparseSegmentReductionNegativeSegmentIdsErrorMessage();break}case 1:{C=v.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage();break}case 2:C=v.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(w[1],w[2]);break;case 3:C=v.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(w[1],w[2],w[3]);break;default:C=\"\"}if(e.disposeData(x.dataId),C)throw e.disposeData(h.dataId),new Error(C);return h}function kat(r){return mI(r,!0)}var dW={kernelName:Ll,backendName:\"wasm\",setupFunc:pI,kernelFunc:kat};function Eat(r){return mI(r,!1)}var hW={kernelName:Ml,backendName:\"wasm\",setupFunc:pI,kernelFunc:Eat};function _at(r){let{inputs:t,attrs:e,backend:n}=r,{x:o}=t,{numOrSizeSplits:s,axis:i}=e,a=y.parseAxisParam(i,o.shape)[0],u=v.prepareSplitSize(o,s,a),l=new Array(o.shape.length).fill(0),c=o.shape.slice();return u.map(p=>{let m=[...c];m[a]=p;let f=Lo({inputs:{x:o},attrs:{begin:l,size:m},backend:n});return l[a]+=p,f})}var gW={kernelName:yi,backendName:\"wasm\",kernelFunc:_at};var xW=se(As);var yW=se(zl);var Aat=!0,bW=ue(Rs,Aat);var wW;function $at(r){wW=r.wasm.cwrap(po,null,[\"number\",\"number\",\"number\",\"number\"])}function Dat(r){let{backend:t,inputs:e,attrs:n}=r,{alpha:o}=n,{x:s}=e,i=t.dataIdMap.get(s.dataId).id,a=t.makeOutput(s.shape,s.dtype),u=t.dataIdMap.get(a.dataId).id;return wW(i,o,qt[s.dtype],u),a}var CW={kernelName:po,backendName:\"wasm\",setupFunc:$at,kernelFunc:Dat};var IW;function Rat(r){IW=r.wasm.cwrap(Wa,null,[\"number\",\"array\",\"number\",\"array\",\"array\",\"array\",\"array\",\"array\",\"number\",\"number\"])}function Fat(r){let{backend:t,inputs:e,attrs:n}=r,{x:o}=e,{begin:s,end:i,strides:a,beginMask:u,endMask:l,ellipsisMask:c,newAxisMask:p,shrinkAxisMask:m}=n,{finalShapeSparse:f,finalShape:d,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:w,strides:C}=Le.sliceInfo(o.shape,s,i,a,u,l,c,p,m),N;if(h)N=ar({inputs:{x:o},backend:t,attrs:{shape:d}});else if(g||x){y.assert(o.shape.length>=1,()=>`Input must have rank at least 1, got: ${o.shape.length}`);let _=Le.computeOutShape(b,w,C),A=Lo({inputs:{x:o},backend:t,attrs:{begin:b,size:_}});N=ar({inputs:{x:A},backend:t,attrs:{shape:d}}),t.disposeData(A.dataId)}else{let _=t.makeOutput(f,\"float32\"),A=t.dataIdMap.get(o.dataId).id,$=new Uint8Array(new Int32Array(y.computeStrides(o.shape)).buffer),F=new Uint8Array(new Int32Array(b).buffer),P=new Uint8Array(new Int32Array(w).buffer),V=new Uint8Array(new Int32Array(C).buffer),G=new Uint8Array(new Int32Array(f).buffer),W=new Uint8Array(new Int32Array(y.computeStrides(f)).buffer),q=t.dataIdMap.get(_.dataId).id;IW(A,$,o.shape.length,F,P,V,G,W,f.length,q),N=ar({inputs:{x:_},backend:t,attrs:{shape:d}}),t.disposeData(_.dataId)}return N}var SW={kernelName:Wa,backendName:\"wasm\",setupFunc:Rat,kernelFunc:Fat};function Oat(r){let{backend:t,inputs:e,attrs:n}=r,{data:o,dataSplits:s}=e,{separator:i,nGramWidths:a,leftPad:u,rightPad:l,padWidth:c,preserveShortSequences:p}=n,m=t.readSync(o.dataId),f=t.readSync(s.dataId),[d,h]=Dc(m,f,i,a,u,l,c,p),g=t.makeOutput([d.length],\"string\"),x=t.dataIdMap.get(g.dataId);x.stringBytes=d;let b=t.makeOutput(s.shape,\"int32\");return t.typedArrayFromHeap(b).set(h),[g,b]}var vW={kernelName:Bl,backendName:\"wasm\",kernelFunc:Oat};function Pat(r){let{backend:t,inputs:e,attrs:n}=r,{input:o,delimiter:s}=e,{skipEmpty:i}=n,a=t.readSync(o.dataId),u=t.readSync(s.dataId),[l,c,p]=Rc(a,u[0],i),m=c.length,f=t.makeOutput([m,2],\"int32\");t.typedArrayFromHeap(f).set(l);let h=t.makeOutput([m],\"string\"),g=t.dataIdMap.get(h.dataId);g.stringBytes=c;let x=t.makeOutput([2],\"int32\");return t.typedArrayFromHeap(x).set(p),[f,h,x]}var NW={kernelName:Vl,backendName:\"wasm\",kernelFunc:Pat};function Lat(r){let{backend:t,inputs:e,attrs:n}=r,{input:o}=e,{numBuckets:s}=n,i=t.readSync(o.dataId),a=Fc(i,s),u=t.makeOutput(o.shape,\"int32\");return t.typedArrayFromHeap(u).set(a),u}var TW={kernelName:Gl,backendName:\"wasm\",kernelFunc:Lat};var Mat=!0,kW=ue(Fs,Mat);var EW;function zat(r){EW=r.wasm.cwrap($s,null,[\"number\",\"number\",\"number\",\"number\"])}function Bat(r){let{backend:t,inputs:e,attrs:n}=r,{axis:o,keepDims:s}=n,{x:i}=e,a=t.dataIdMap.get(i.dataId).id,u=a,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=bn(i,o,t),d=p;if(f){let w=t.dataIdMap.get(c.dataId).id;w!==a&&(l=c,u=w,d=v.getInnerMostAxes(d.length,l.shape.length))}v.assertAxesAreInnerMostDims(\"sum\",d,l.shape.length);let[h,g]=v.computeOutAndReduceShapes(l.shape,d),x=y.sizeFromShape(g),b=t.makeOutput(h,l.dtype);if(y.sizeFromShape(l.shape)!==0){let w=t.dataIdMap.get(b.dataId).id;EW(u,x,qt[b.dtype],w)}if(f&&t.disposeData(c.dataId),s){let w=v.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var _W={kernelName:$s,backendName:\"wasm\",setupFunc:zat,kernelFunc:Bat};var AW=se(Os);var $W=se(Ps);var DW;function Vat(r){DW=r.wasm.cwrap(Jn,null,[\"number\",\"array\",\"number\",\"array\",\"number\",\"number\"])}function Gat(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,s=e.dataIdMap.get(o.dataId).id,{reps:i}=n,a=new Array(o.shape.length);for(let m=0;m{let{x:n}=r,{k:o,sorted:s}=e,i=t.dataIdMap.get(n.dataId).id,a=new Uint8Array(new Int32Array(n.shape).buffer),u=n.shape.slice();u[u.length-1]=o;let l=t.makeOutput(u,n.dtype),c=t.dataIdMap.get(l.dataId).id,p=t.makeOutput(u,\"int32\"),m=t.dataIdMap.get(p.dataId).id;return FW(i,a,n.shape.length,qt[n.dtype],o,s,c,m),[l,p]},OW={kernelName:Ua,backendName:\"wasm\",setupFunc:Wat,kernelFunc:Uat};var PW;function Hat(r){PW=r.wasm.cwrap(Ha,null,[\"number\",\"number\",\"bool\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"array\",\"number\",\"array\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function qat(r){let{backend:t,inputs:e,attrs:n}=r,{image:o,transforms:s}=e,{interpolation:i,fillMode:a,fillValue:u,outputShape:l}=n,[c,p,m,f]=o.shape,[d,h]=l!=null?l:[p,m],g=[c,d,h,f],x=new Uint8Array(new Int32Array(y.computeStrides(o.shape)).buffer),b=new Uint8Array(new Int32Array(y.computeStrides(g)).buffer),w=t.makeOutput(g,o.dtype),C=t.dataIdMap.get(w.dataId).id,_=t.dataIdMap.get(o.dataId).id,$=t.dataIdMap.get(s.dataId).id,F=i===\"nearest\"?1:2,P;switch(a){case\"constant\":P=1;break;case\"reflect\":P=2;break;case\"wrap\":P=3;break;case\"nearest\":P=4;break;default:P=1;break}return PW(_,$,s.shape[0]>1,c,d,h,f,m,p,x,o.shape.length-1,b,g.length-1,F,P,u,C),w}var LW={kernelName:Ha,backendName:\"wasm\",setupFunc:Hat,kernelFunc:qat};function Kat(r){let{inputs:t,backend:e,attrs:n}=r,{value:o}=t,{axis:s}=n;s<0&&(s+=o.shape.length);let i=o.shape[s],a=o.shape.length,u=new Array(a-1),l=0;for(let f=0;f({dataId:f,dtype:d,shape:u}))}var MW={kernelName:bi,backendName:\"wasm\",kernelFunc:Kat};function jat(r){let{inputs:{x:t},backend:e}=r,n=e.makeOutput(t.shape,t.dtype);return e.typedArrayFromHeap(n).fill(0),n}var zW={kernelName:wi,backendName:\"wasm\",kernelFunc:jat};var Xat=[UB,HB,qB,jB,QB,eV,nV,sV,lV,cV,pV,mV,dV,hV,xV,bV,wV,CV,SV,NV,kV,_V,$V,DV,RV,FV,OV,PV,MV,zV,BV,GV,UV,qV,jV,YV,ZV,JV,XB,tG,eG,rG,nG,oG,sG,iG,aG,uG,cG,mG,dG,gG,xG,bG,wG,CG,SG,NG,kG,EG,AG,$G,DG,cI,FG,PG,MG,zG,BG,VG,GG,iV,UG,qG,jG,YG,ZG,JG,tW,rW,oW,sW,uV,aW,lW,cW,mW,dW,hW,gW,xW,yW,bW,CW,SW,vW,NW,TW,kW,_W,AW,$W,RW,OW,LW,ZB,MW,zW];for(let r of Xat)Lu(r);var Rk=z();Rk.registerFlag(\"WASM_HAS_SIMD_SUPPORT\",async()=>{try{return WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,10,9,1,7,0,65,0,253,15,26,11]))}catch(r){return!1}});Rk.registerFlag(\"WASM_HAS_MULTITHREAD_SUPPORT\",async()=>{if(Rk.get(\"IS_NODE\"))return!1;try{return new MessageChannel().port1.postMessage(new SharedArrayBuffer(1)),WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,5,4,1,3,1,1,10,11,1,9,0,65,0,254,16,2,0,26,11]))}catch(r){return!1}});var zk=Tl(WW()),XW=Tl(HW()),Bk=Tl(qW());var KW=zk.default||zk,Yat=Bk.default||Bk,cg=class extends zo{constructor(t){super(),this.wasm=t,this.dataIdNextNumber=1,this.wasm.tfjs.initWithThreadsCount(ZW),Mk=this.wasm.tfjs.getThreadsCount(),this.dataIdMap=new ra(this,Pn())}write(t,e,n){let o={id:this.dataIdNextNumber++};return this.move(o,t,e,n,1),o}numDataIds(){return this.dataIdMap.numDataIds()}async time(t){let e=y.now();return t(),{kernelMs:y.now()-e}}move(t,e,n,o,s){let i=this.dataIdNextNumber++;if(o===\"string\"){let c=e;this.dataIdMap.set(t,{id:i,stringBytes:c,shape:n,dtype:o,memoryOffset:null,refCount:s});return}let a=y.sizeFromShape(n),u=a*y.bytesPerElement(o),l=this.wasm._malloc(u);this.dataIdMap.set(t,{id:i,memoryOffset:l,shape:n,dtype:o,refCount:s}),this.wasm.tfjs.registerTensor(i,a,l),e!=null&&this.wasm.HEAPU8.set(new Uint8Array(e.buffer,e.byteOffset,u),l)}async read(t){return this.readSync(t)}readSync(t,e,n){let{memoryOffset:o,dtype:s,shape:i,stringBytes:a}=this.dataIdMap.get(t);if(s===\"string\")return(e==null||e===0)&&(n==null||n>=a.length)?a:a.slice(e,n);e=e||0,n=n||y.sizeFromShape(i);let u=y.bytesPerElement(s),l=this.wasm.HEAPU8.slice(o+e*u,o+n*u);return Jat(l.buffer,s)}disposeData(t,e=!1){if(this.dataIdMap.has(t)){let n=this.dataIdMap.get(t);if(n.refCount--,!e&&n.refCount>0)return!1;this.wasm._free(n.memoryOffset),this.wasm.tfjs.disposeData(n.id),this.dataIdMap.delete(t)}return!0}refCount(t){return this.dataIdMap.has(t)?this.dataIdMap.get(t).refCount:0}incRef(t){let e=this.dataIdMap.get(t);e!=null&&e.refCount++}floatPrecision(){return 32}getMemoryOffset(t){return this.dataIdMap.get(t).memoryOffset}dispose(){this.wasm.tfjs.dispose(),\"PThread\"in this.wasm&&this.wasm.PThread.terminateAllThreads(),this.wasm=null}memory(){return{unreliable:!1}}makeOutput(t,e,n){let o;if(n==null)o=this.write(null,t,e);else{let s=this.dataIdNextNumber++;o={id:s},this.dataIdMap.set(o,{id:s,memoryOffset:n,shape:t,dtype:e,refCount:1});let i=y.sizeFromShape(t);this.wasm.tfjs.registerTensor(s,i,n)}return{dataId:o,shape:t,dtype:e}}typedArrayFromHeap({shape:t,dtype:e,dataId:n}){let o=this.wasm.HEAPU8.buffer,{memoryOffset:s}=this.dataIdMap.get(n),i=y.sizeFromShape(t);switch(e){case\"float32\":return new Float32Array(o,s,i);case\"int32\":return new Int32Array(o,s,i);case\"bool\":return new Uint8Array(o,s,i);default:throw new Error(`Unknown dtype ${e}`)}}};function Zat(r){return(t,e)=>(y.fetch(r,{credentials:\"same-origin\"}).then(n=>{n.ok||t.env.a(`failed to load wasm binary file at '${r}'`),n.arrayBuffer().then(o=>{WebAssembly.instantiate(o,t).then(s=>{e(s.instance,s.module)})})}),{})}function jW(r,t,e){if(hI!=null)return hI;let n=\"tfjs-backend-wasm.wasm\";return r&&t?n=\"tfjs-backend-wasm-threaded-simd.wasm\":r&&(n=\"tfjs-backend-wasm-simd.wasm\"),lg!=null&&lg[n]!=null?lg[n]:e+n}async function YW(){let[r,t]=await Promise.all([z().getAsync(\"WASM_HAS_SIMD_SUPPORT\"),z().getAsync(\"WASM_HAS_MULTITHREAD_SUPPORT\")]);return new Promise((e,n)=>{let o={};o.locateFile=(a,u)=>{if(a.endsWith(\".worker.js\")){let l=XW.wasmWorkerContents.replace(/\\n/g,\"\\\\n\"),c=new Blob([l],{type:\"application/javascript\"});return URL.createObjectURL(c)}return a.endsWith(\".wasm\")?jW(r,t,ag!=null?ag:u):u+a},Vk&&(o.instantiateWasm=Zat(jW(r,t,ag!=null?ag:\"\")));let s=!1;o.onAbort=()=>{if(s||ug)return;ug=!0,n({message:\"Make sure the server can serve the `.wasm` file relative to the bundled js file. For more details see https://github.com/tensorflow/tfjs/blob/master/tfjs-backend-wasm/README.md#using-bundlers\"})};let i;t&&r&&hI==null?(o.mainScriptUrlOrBlob=new Blob([\"var WasmBackendModuleThreadedSimd = \"+KW.toString()],{type:\"text/javascript\"}),i=KW(o)):i=Yat(o),i.then(a=>{s=!0,ug=!1;let u=null;a.tfjs={init:a.cwrap(\"init\",null,[]),initWithThreadsCount:a.cwrap(\"init_with_threads_count\",null,[\"number\"]),getThreadsCount:a.cwrap(\"get_threads_count\",\"number\",[]),registerTensor:a.cwrap(\"register_tensor\",null,[\"number\",\"number\",\"number\"]),disposeData:a.cwrap(\"dispose_data\",u,[\"number\"]),dispose:a.cwrap(\"dispose\",u,[])},e({wasm:a})}).catch(n)})}function Jat(r,t){switch(t){case\"float32\":return new Float32Array(r);case\"int32\":return new Int32Array(r);case\"bool\":return new Uint8Array(r);default:throw new Error(`Unknown dtype ${t}`)}}var Qat=[\"tfjs-backend-wasm.wasm\",\"tfjs-backend-wasm-simd.wasm\",\"tfjs-backend-wasm-threaded-simd.wasm\"],hI=null,ag=null,lg={},ug=!1,Vk=!1;function tlt(r,t=!1){if(W0(\"setWasmPath has been deprecated in favor of setWasmPaths and will be removed in a future release.\"),ug)throw new Error(\"The WASM backend was already initialized. Make sure you call `setWasmPath()` before you call `tf.setBackend()` or `tf.ready()`\");hI=r,Vk=t}function elt(r,t=!1){if(ug)throw new Error(\"The WASM backend was already initialized. Make sure you call `setWasmPaths()` before you call `tf.setBackend()` or `tf.ready()`\");if(typeof r==\"string\")ag=r;else{lg=r;let e=Qat.filter(n=>lg[n]==null);if(e.length>0)throw new Error(`There were no entries found for the following binaries: ${e.join(\",\")}. Please either call setWasmPaths with a map providing a path for each binary, or with a string indicating the directory where all the binaries can be found.`)}Vk=t}var ZW=-1,Mk=-1;function rlt(r){ZW=r}function nlt(){if(Mk===-1)throw new Error(\"WASM backend not initialized.\");return Mk}var olt=\"4.0.0\";var slt=2;Xp(\"wasm\",async()=>{let{wasm:r}=await YW();return new cg(r)},slt);var ilt=\"4.0.0\",alt=\"4.0.0\",llt=\"4.0.0\",ult=\"4.0.0\",clt=\"4.0.0\",plt=\"4.0.0\",mlt=\"4.0.0\",flt=\"4.0.0\",dlt={tfjs:ilt,\"tfjs-core\":alt,\"tfjs-data\":llt,\"tfjs-layers\":ult,\"tfjs-converter\":clt,\"tfjs-backend-cpu\":plt,\"tfjs-backend-webgl\":mlt,\"tfjs-backend-wasm\":flt};export{ii as Abs,oa as Acos,sa as Acosh,cu as AdadeltaOptimizer,pu as AdagradOptimizer,mu as AdamOptimizer,fu as AdamaxOptimizer,Zn as Add,Go as AddN,ia as All,aa as Any,Wo as ArgMax,kl as ArgMin,la as Asin,ua as Asinh,ca as Atan,ma as Atan2,pa as Atanh,Uo as AvgPool,El as AvgPool3D,lp as AvgPool3DGrad,ap as AvgPoolGrad,cg as BackendWasm,Ho as BatchMatMul,ai as BatchToSpaceND,up as Bincount,cp as BroadcastArgs,p1 as BroadcastTo,Sb as Callback,Py as CallbackList,lo as Cast,qo as Ceil,uo as ClipByValue,pp as Complex,_l as ComplexAbs,li as Concat,Ko as Conv2D,mp as Conv2DBackpropFilter,jo as Conv2DBackpropInput,Al as Conv3D,fp as Conv3DBackpropFilterV2,dp as Conv3DBackpropInputV2,Xo as Cos,Yo as Cosh,da as CropAndResize,fa as Cumprod,Zo as Cumsum,My as CustomCallback,ra as DataStorage,hp as DenseBincount,ha as DepthToSpace,Jo as DepthwiseConv2dNative,gp as DepthwiseConv2dNativeBackpropFilter,xp as DepthwiseConv2dNativeBackpropInput,yp as Diag,$l as Dilation2D,Xd as Dilation2DBackpropFilter,jd as Dilation2DBackpropInput,i0 as ENV,vb as EarlyStopping,bp as Einsum,ts as Elu,wp as EluGrad,qd as Environment,xa as Equal,ga as Erf,es as Exp,ui as ExpandDims,ya as Expm1,Cp as FFT,Dl as Fill,ba as FlipLeftRight,rs as Floor,ns as FloorDiv,Yd as FromPixels,os as FusedBatchNorm,Ii as FusedConv2D,Si as FusedDepthwiseConv2D,Bc as GPGPUContext,wa as GatherNd,ci as GatherV2,Ph as GraphModel,Ca as Greater,ss as GreaterEqual,Ly as History,Ip as IFFT,co as Identity,Sp as Imag,ye as InputSpec,Ia as IsFinite,Sa as IsInf,va as IsNan,zo as KernelBackend,Rl as LRN,Np as LRNGrad,Ch as LayerVariable,Bn as LayersModel,is as LeakyRelu,Na as Less,Ta as LessEqual,vp as LinSpace,as as Log,ka as Log1p,f1 as LogSoftmax,Ea as LogicalAnd,_a as LogicalNot,Aa as LogicalOr,m1 as LogicalXor,wlt as LowerBound,_u as MathBackendWebGL,ls as Max,cs as MaxPool,Fl as MaxPool3D,kp as MaxPool3DGrad,Tp as MaxPoolGrad,Ep as MaxPoolWithArgmax,us as Maximum,ps as Mean,ms as Min,fs as Minimum,ds as MirrorPad,$a as Mod,du as MomentumOptimizer,_p as Multinomial,hs as Multiply,pi as Neg,Ra as NonMaxSuppressionV3,Fa as NonMaxSuppressionV4,Oa as NonMaxSuppressionV5,Da as NotEqual,k0 as OP_SCOPE_SUFFIX,gs as OneHot,mi as OnesLike,Wr as Optimizer,Ws as OptimizerConstructors,fi as Pack,xs as PadV2,Clt as Pool,ys as Pow,bs as Prelu,ws as Prod,hu as RMSPropOptimizer,Tn as RNN,Ap as RaggedGather,$p as RaggedRange,Dp as RaggedTensorToTensor,Ol as Range,x0 as Rank,Rp as Real,Qo as RealDiv,Pa as Reciprocal,Xe as Reduction,Cs as Relu,vs as Relu6,di as Reshape,Ss as ResizeBilinear,Op as ResizeBilinearGrad,Is as ResizeNearestNeighbor,Fp as ResizeNearestNeighborGrad,Ns as Reverse,qa as RotateWithOffset,Ts as Round,ks as Rsqrt,Bi as SGDOptimizer,La as ScatterNd,Pp as SearchSorted,hi as Select,Ma as Selu,qi as Sequential,_s as Sigmoid,Ba as Sign,Es as Sin,za as Sinh,gi as Slice,Ds as Softmax,Va as Softplus,xi as SpaceToBatchND,Pl as SparseFillEmptyRows,Ga as SparseReshape,Ll as SparseSegmentMean,Ml as SparseSegmentSum,Lp as SparseToDense,yi as SplitV,As as Sqrt,zl as Square,Rs as SquaredDifference,po as Step,Wa as StridedSlice,Bl as StringNGrams,Vl as StringSplit,Gl as StringToHashBucketFast,Fs as Sub,$s as Sum,Jr as SymbolicTensor,Os as Tan,Ps as Tanh,Ft as Tensor,pe as TensorBuffer,Jn as Tile,Ua as TopK,Ha as Transform,Qn as Transpose,Mp as Unique,bi as Unpack,Wl as UnsortedSegmentSum,Ilt as UpperBound,Ka as Variable,wi as ZerosLike,Ci as _FusedMatMul,Ee as abs,ax as acos,lx as acosh,X as add,LE as addN,Zp as all,qu as any,Ai as argMax,ux as argMin,cx as asin,px as asinh,mx as atan,fx as atan2,dx as atanh,Yl as avgPool,gx as avgPool3d,gE as backend,v as backend_util,BE as basicLSTMCell,Di as batchNorm,xx as batchNorm2d,yx as batchNorm3d,bx as batchNorm4d,Zl as batchToSpaceND,wx as bincount,r6 as booleanMaskAsync,GE as broadcastArgs,Ri as broadcastTo,Vr as broadcast_util,nx as browser,wt as buffer,BZ as callbacks,J as cast,Cx as ceil,Cr as clipByValue,sn as clone,wn as complex,ne as concat,Ix as concat1d,Sx as concat2d,vx as concat3d,Nx as concat4d,K$ as constraints,Qp as conv1d,In as conv2d,em as conv2dTranspose,Tx as conv3d,Ex as conv3dTranspose,_lt as copyRegisteredKernels,Jl as cos,rm as cosh,hh as cosineWindow,Xu as cumprod,nm as cumsum,un as customGrad,AR as data,ch as denseBincount,W0 as deprecationWarn,_x as depthToSpace,Fi as depthwiseConv2d,UZ as deregisterOp,Kl as device_util,WE as diag,Ax as dilation2d,bpt as disableDeprecationWarnings,vt as dispose,wpt as disposeVariables,pt as div,$x as divNoNan,Dx as dot,lv as dropout,UE as einsum,Oi as elu,ypt as enableDebugMode,xpt as enableProdMode,uv as enclosingPowerOfTwo,Pn as engine,z as env,$r as equal,Rx as erf,Fx as euclideanNorm,er as exp,rr as expandDims,Ox as expm1,Yu as eye,au as fft,xo as fill,Tpt as findBackend,kpt as findBackendFactory,Pi as floor,Yp as floorDiv,hM as forceHalfFloat,uu as fused,Li as gather,p6 as gatherND,ox as gather_util,vpt as getBackend,u0 as getGradient,Jd as getKernel,zg as getKernelsForBackend,nlt as getThreadsCount,ik as gpgpu_util,yK as grad,bK as grads,Re as greater,ln as greaterEqual,tl as ifft,Xl as imag,Gs as image,d6 as inTopKAsync,j$ as initializers,Pv as input,_r as io,xm as irfft,Px as isFinite,Lx as isInf,Mx as isNaN,De as keep,Ur as kernel_impls,ED as layers,Ql as leakyRelu,om as less,Ln as lessEqual,pv as linalg,KE as linspace,L7 as loadGraphModel,M7 as loadGraphModelSync,hD as loadLayersModel,zx as localResponseNormalization,Sr as log,tu as log1p,Gx as logSigmoid,sm as logSoftmax,im as logSumExp,Rr as logicalAnd,eu as logicalNot,am as logicalOr,Wx as logicalXor,dX as losses,jE as lowerBound,Lt as matMul,yE as math,Ir as max,ru as maxPool,Hx as maxPool3d,XE as maxPoolWithArgmax,Sn as maximum,ve as mean,ah as memory,YE as meshgrid,_D as metrics,Ja as min,Mi as minimum,qx as mirrorPad,Kx as mod,H8 as model,AD as models,Zu as moments,o6 as movingAverage,D as mul,ZE as multiRNNCell,JE as multinomial,Ht as neg,gh as nextFrame,Qa as norm,Bs as notEqual,Ei as oneHot,cr as ones,yr as onesLike,T as op,QE as outerProduct,cn as pad,t_ as pad1d,e_ as pad2d,r_ as pad3d,n_ as pad4d,jx as pool,an as pow,ou as prelu,Jg as print,Xx as prod,Cpt as profile,o_ as raggedGather,s_ as raggedRange,i_ as raggedTensorToTensor,a_ as rand,v_ as randomGamma,tc as randomNormal,N_ as randomStandardNormal,zi as randomUniform,su as range,Spt as ready,Za as real,ty as reciprocal,Xp as registerBackend,K8 as registerCallbackConstructor,h1 as registerGradient,Lu as registerKernel,WZ as registerOp,$D as regularizers,Fr as relu,lm as relu6,Npt as removeBackend,R as reshape,pr as reverse,T_ as reverse1d,k_ as reverse2d,E_ as reverse3d,__ as reverse4d,lu as rfft,um as round,cm as rsqrt,mt as scalar,i6 as scatterND,lh as scatter_util,mh as searchSorted,pm as selu,mm as separableConv2d,q8 as sequential,Q as serialization,Q4 as setBackend,Ept as setPlatform,rlt as setThreadsCount,tlt as setWasmPath,elt as setWasmPaths,wT as setWebGLContext,A_ as setdiff1dAsync,Yr as sigmoid,ey as sign,fX as signal,fm as sin,dm as sinh,Rt as slice,hm as slice1d,dh as slice2d,gm as slice3d,ec as slice4d,Le as slice_util,iu as softmax,zs as softplus,nu as spaceToBatchND,hX as sparse,u6 as sparseToDense,mX as spectral,mr as split,Se as sqrt,Mt as square,ym as squaredDifference,Mn as squeeze,nr as stack,bo as step,ry as stridedSlice,gX as string,ct as sub,ft as sum,Wu as sumOutType,ny as tan,$i as tanh,ur as tensor,Me as tensor1d,Vs as tensor2d,rx as tensor3d,$_ as tensor4d,D_ as tensor5d,R_ as tensor6d,go as tensor_util,OE as test_util,B as tidy,Dr as tile,Ipt as time,oy as topk,ic as train,Ot as transpose,bm as truncatedNormal,sy as unique,Elt as unregisterGradient,klt as unregisterKernel,wm as unsortedSegmentSum,vr as unstack,sr as upcastType,F_ as upperBound,y as util,wK as valueAndGrad,CK as valueAndGrads,iy as variable,Bx as variableGrads,dlt as version,cR as version_converter,PE as version_core,Um as version_layers,olt as version_wasm,dM as version_webgl,t1e as webgl,dd as webgl_util,_e as where,ly as whereAsync,Ne as zeros,It as zerosLike};\n", "export * from './drawContour';\nexport * from './drawDetections';\nexport * from './drawFaceExpressions';\nexport * from './DrawBox';\nexport * from './DrawFaceLandmarks';\nexport * from './DrawTextField';\n", "import { Point } from '../classes/index';\n\nexport function drawContour(\n ctx: CanvasRenderingContext2D,\n points: Point[],\n isClosed = false,\n) {\n ctx.beginPath();\n\n points.slice(1).forEach(({ x, y }, prevIdx) => {\n const from = points[prevIdx];\n ctx.moveTo(from.x, from.y);\n ctx.lineTo(x, y);\n });\n\n if (isClosed) {\n const from = points[points.length - 1];\n const to = points[0];\n if (!from || !to) {\n return;\n }\n\n ctx.moveTo(from.x, from.y);\n ctx.lineTo(to.x, to.y);\n }\n\n ctx.stroke();\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { Point } from '../classes/index';\nimport { Dimensions, IDimensions } from '../classes/Dimensions';\n\nexport function isTensor(tensor: any, dim: number) {\n return tensor instanceof tf.Tensor && tensor.shape.length === dim;\n}\n\nexport function isTensor1D(tensor: any): tensor is tf.Tensor1D {\n return isTensor(tensor, 1);\n}\n\nexport function isTensor2D(tensor: any): tensor is tf.Tensor2D {\n return isTensor(tensor, 2);\n}\n\nexport function isTensor3D(tensor: any): tensor is tf.Tensor3D {\n return isTensor(tensor, 3);\n}\n\nexport function isTensor4D(tensor: any): tensor is tf.Tensor4D {\n return isTensor(tensor, 4);\n}\n\nexport function isFloat(num: number) {\n return num % 1 !== 0;\n}\n\nexport function isEven(num: number) {\n return num % 2 === 0;\n}\n\nexport function round(num: number, prec = 2) {\n const f = 10 ** prec;\n return Math.floor(num * f) / f;\n}\n\nexport function isDimensions(obj: any): boolean {\n return obj && obj.width && obj.height;\n}\n\nexport function computeReshapedDimensions({ width, height }: IDimensions, inputSize: number) {\n const scale = inputSize / Math.max(height, width);\n return new Dimensions(Math.round(width * scale), Math.round(height * scale));\n}\n\nexport function getCenterPoint(pts: Point[]): Point {\n return pts.reduce((sum, pt) => sum.add(pt), new Point(0, 0))\n .div(new Point(pts.length, pts.length));\n}\n\nexport function range(num: number, start: number, step: number): number[] {\n return Array(num).fill(0).map((_, i) => start + (i * step));\n}\n\nexport function isValidNumber(num: any) {\n return !!num && (num !== Infinity) && (num !== -Infinity) && !Number.isNaN(num) || num === 0;\n}\n\nexport function isValidProbablitiy(num: any) {\n return isValidNumber(num) && num >= 0 && num <= 1.0;\n}\n", "import { isValidNumber } from '../utils/index';\n\nexport interface IDimensions {\n width: number\n height: number\n}\n\nexport class Dimensions implements IDimensions {\n private _width: number;\n\n private _height: number;\n\n constructor(width: number, height: number) {\n if (!isValidNumber(width) || !isValidNumber(height)) {\n throw new Error(`Dimensions.constructor - expected width and height to be valid numbers, instead have ${JSON.stringify({ width, height })}`);\n }\n\n this._width = width;\n this._height = height;\n }\n\n public get width(): number { return this._width; }\n\n public get height(): number { return this._height; }\n\n public reverse(): Dimensions {\n return new Dimensions(1 / this.width, 1 / this.height);\n }\n}\n", "export interface IPoint {\n x: number\n y: number\n}\n\nexport class Point implements IPoint {\n private _x: number;\n\n private _y: number;\n\n constructor(x: number, y: number) {\n this._x = x;\n this._y = y;\n }\n\n get x(): number { return this._x; }\n\n get y(): number { return this._y; }\n\n public add(pt: IPoint): Point {\n return new Point(this.x + pt.x, this.y + pt.y);\n }\n\n public sub(pt: IPoint): Point {\n return new Point(this.x - pt.x, this.y - pt.y);\n }\n\n public mul(pt: IPoint): Point {\n return new Point(this.x * pt.x, this.y * pt.y);\n }\n\n public div(pt: IPoint): Point {\n return new Point(this.x / pt.x, this.y / pt.y);\n }\n\n public abs(): Point {\n return new Point(Math.abs(this.x), Math.abs(this.y));\n }\n\n public magnitude(): number {\n return Math.sqrt((this.x ** 2) + (this.y ** 2));\n }\n\n public floor(): Point {\n return new Point(Math.floor(this.x), Math.floor(this.y));\n }\n}\n", "import { isDimensions, isValidNumber } from '../utils/index';\nimport { IBoundingBox } from './BoundingBox';\nimport { IDimensions } from './Dimensions';\nimport { Point } from './Point';\nimport { IRect } from './Rect';\n\nexport class Box implements IBoundingBox, IRect {\n public static isRect(rect: any): boolean {\n return !!rect && [rect.x, rect.y, rect.width, rect.height].every(isValidNumber);\n }\n\n public static assertIsValidBox(box: any, callee: string, allowNegativeDimensions = false) {\n if (!Box.isRect(box)) {\n throw new Error(`${callee} - invalid box: ${JSON.stringify(box)}, expected object with properties x, y, width, height`);\n }\n\n if (!allowNegativeDimensions && (box.width < 0 || box.height < 0)) {\n throw new Error(`${callee} - width (${box.width}) and height (${box.height}) must be positive numbers`);\n }\n }\n\n private _x: number;\n\n private _y: number;\n\n private _width: number;\n\n private _height: number;\n\n constructor(_box: IBoundingBox | IRect, allowNegativeDimensions = true) {\n const box = (_box || {}) as any;\n\n const isBbox = [box.left, box.top, box.right, box.bottom].every(isValidNumber);\n const isRect = [box.x, box.y, box.width, box.height].every(isValidNumber);\n\n if (!isRect && !isBbox) {\n throw new Error(`Box.constructor - expected box to be IBoundingBox | IRect, instead have ${JSON.stringify(box)}`);\n }\n\n const [x, y, width, height] = isRect\n ? [box.x, box.y, box.width, box.height]\n : [box.left, box.top, box.right - box.left, box.bottom - box.top];\n\n Box.assertIsValidBox({\n x, y, width, height,\n }, 'Box.constructor', allowNegativeDimensions);\n\n this._x = x;\n this._y = y;\n this._width = width;\n this._height = height;\n }\n\n public get x(): number { return this._x; }\n\n public get y(): number { return this._y; }\n\n public get width(): number { return this._width; }\n\n public get height(): number { return this._height; }\n\n public get left(): number { return this.x; }\n\n public get top(): number { return this.y; }\n\n public get right(): number { return this.x + this.width; }\n\n public get bottom(): number { return this.y + this.height; }\n\n public get area(): number { return this.width * this.height; }\n\n public get topLeft(): Point { return new Point(this.left, this.top); }\n\n public get topRight(): Point { return new Point(this.right, this.top); }\n\n public get bottomLeft(): Point { return new Point(this.left, this.bottom); }\n\n public get bottomRight(): Point { return new Point(this.right, this.bottom); }\n\n public round(): Box {\n const [x, y, width, height] = [this.x, this.y, this.width, this.height]\n .map((val) => Math.round(val));\n return new Box({\n x, y, width, height,\n });\n }\n\n public floor(): Box {\n const [x, y, width, height] = [this.x, this.y, this.width, this.height]\n .map((val) => Math.floor(val));\n return new Box({\n x, y, width, height,\n });\n }\n\n public toSquare(): Box {\n let {\n x, y, width, height,\n } = this;\n const diff = Math.abs(width - height);\n if (width < height) {\n x -= (diff / 2);\n width += diff;\n }\n if (height < width) {\n y -= (diff / 2);\n height += diff;\n }\n\n return new Box({ x, y, width, height });\n }\n\n public rescale(s: IDimensions | number): Box {\n const scaleX = isDimensions(s) ? (s as IDimensions).width : s as number;\n const scaleY = isDimensions(s) ? (s as IDimensions).height : s as number;\n return new Box({\n x: this.x * scaleX,\n y: this.y * scaleY,\n width: this.width * scaleX,\n height: this.height * scaleY,\n });\n }\n\n public pad(padX: number, padY: number): Box {\n const [x, y, width, height] = [\n this.x - (padX / 2),\n this.y - (padY / 2),\n this.width + padX,\n this.height + padY,\n ];\n return new Box({ x, y, width, height });\n }\n\n public clipAtImageBorders(imgWidth: number, imgHeight: number): Box {\n const { x, y, right, bottom } = this;\n const clippedX = Math.max(x, 0);\n const clippedY = Math.max(y, 0);\n\n const newWidth = right - clippedX;\n const newHeight = bottom - clippedY;\n const clippedWidth = Math.min(newWidth, imgWidth - clippedX);\n const clippedHeight = Math.min(newHeight, imgHeight - clippedY);\n\n return (new Box({ x: clippedX, y: clippedY, width: clippedWidth, height: clippedHeight })).floor();\n }\n\n public shift(sx: number, sy: number): Box {\n const { width, height } = this;\n const x = this.x + sx;\n const y = this.y + sy;\n\n return new Box({ x, y, width, height });\n }\n\n public padAtBorders(imageHeight: number, imageWidth: number) {\n const w = this.width + 1;\n const h = this.height + 1;\n\n const dx = 1;\n const dy = 1;\n let edx = w;\n let edy = h;\n\n let x = this.left;\n let y = this.top;\n let ex = this.right;\n let ey = this.bottom;\n\n if (ex > imageWidth) {\n edx = -ex + imageWidth + w;\n ex = imageWidth;\n }\n if (ey > imageHeight) {\n edy = -ey + imageHeight + h;\n ey = imageHeight;\n }\n if (x < 1) {\n edy = 2 - x;\n x = 1;\n }\n if (y < 1) {\n edy = 2 - y;\n y = 1;\n }\n\n return { dy, edy, dx, edx, y, ey, x, ex, w, h };\n }\n\n public calibrate(region: Box) {\n return new Box({\n left: this.left + (region.left * this.width),\n top: this.top + (region.top * this.height),\n right: this.right + (region.right * this.width),\n bottom: this.bottom + (region.bottom * this.height),\n }).toSquare().round();\n }\n}\n", "import { Box } from './Box';\n\nexport interface IBoundingBox {\n left: number\n top: number\n right: number\n bottom: number\n}\n\nexport class BoundingBox extends Box implements IBoundingBox {\n constructor(left: number, top: number, right: number, bottom: number, allowNegativeDimensions = false) {\n super({ left, top, right, bottom }, allowNegativeDimensions);\n }\n}\n", "import { Box } from './Box';\nimport { Dimensions, IDimensions } from './Dimensions';\nimport { IRect, Rect } from './Rect';\n\nexport class ObjectDetection {\n private _score: number;\n\n private _classScore: number;\n\n private _className: string;\n\n private _box: Rect;\n\n private _imageDims: Dimensions;\n\n constructor(\n score: number,\n classScore: number,\n className: string,\n relativeBox: IRect,\n imageDims: IDimensions,\n ) {\n this._imageDims = new Dimensions(imageDims.width, imageDims.height);\n this._score = score;\n this._classScore = classScore;\n this._className = className;\n this._box = new Box(relativeBox).rescale(this._imageDims);\n }\n\n public get score(): number { return this._score; }\n\n public get classScore(): number { return this._classScore; }\n\n public get className(): string { return this._className; }\n\n public get box(): Box { return this._box; }\n\n public get imageDims(): Dimensions { return this._imageDims; }\n\n public get imageWidth(): number { return this.imageDims.width; }\n\n public get imageHeight(): number { return this.imageDims.height; }\n\n public get relativeBox(): Box { return new Box(this._box).rescale(this.imageDims.reverse()); }\n\n public forSize(width: number, height: number): ObjectDetection {\n return new ObjectDetection(\n this.score,\n this.classScore,\n this.className,\n this.relativeBox,\n { width, height },\n );\n }\n}\n", "import { Box } from './Box';\nimport { IDimensions } from './Dimensions';\nimport { ObjectDetection } from './ObjectDetection';\nimport { Rect } from './Rect';\n\nexport interface IFaceDetecion {\n score: number\n box: Box\n}\n\nexport class FaceDetection extends ObjectDetection implements IFaceDetecion {\n constructor(\n score: number,\n relativeBox: Rect,\n imageDims: IDimensions,\n ) {\n super(score, score, '', relativeBox, imageDims);\n }\n\n public override forSize(width: number, height: number): FaceDetection {\n const { score, relativeBox, imageDims } = super.forSize(width, height);\n return new FaceDetection(score, relativeBox, imageDims);\n }\n}\n", "import { Box } from '../classes/Box';\n\nexport function iou(box1: Box, box2: Box, isIOU = true) {\n const width = Math.max(0.0, Math.min(box1.right, box2.right) - Math.max(box1.left, box2.left));\n const height = Math.max(0.0, Math.min(box1.bottom, box2.bottom) - Math.max(box1.top, box2.top));\n const interSection = width * height;\n\n return isIOU\n ? interSection / (box1.area + box2.area - interSection)\n : interSection / Math.min(box1.area, box2.area);\n}\n", "import { BoundingBox, IPoint } from '../classes/index';\n\nexport function minBbox(pts: IPoint[]): BoundingBox {\n const xs = pts.map((pt) => pt.x);\n const ys = pts.map((pt) => pt.y);\n const minX = xs.reduce((min, x) => (x < min ? x : min), Infinity);\n const minY = ys.reduce((min, y) => (y < min ? y : min), Infinity);\n const maxX = xs.reduce((max, x) => (max < x ? x : max), 0);\n const maxY = ys.reduce((max, y) => (max < y ? y : max), 0);\n\n return new BoundingBox(minX, minY, maxX, maxY);\n}\n", "import { Box } from '../classes/Box';\nimport { iou } from './iou';\n\nexport function nonMaxSuppression(\n boxes: Box[],\n scores: number[],\n iouThreshold: number,\n isIOU = true,\n): number[] {\n let indicesSortedByScore = scores\n .map((score, boxIndex) => ({ score, boxIndex }))\n .sort((c1, c2) => c1.score - c2.score)\n .map((c) => c.boxIndex);\n\n const pick: number[] = [];\n\n while (indicesSortedByScore.length > 0) {\n const curr = indicesSortedByScore.pop() as number;\n pick.push(curr);\n\n const indices = indicesSortedByScore;\n\n const outputs: number[] = [];\n for (let i = 0; i < indices.length; i++) {\n const idx = indices[i];\n\n const currBox = boxes[curr];\n const idxBox = boxes[idx];\n\n outputs.push(iou(currBox, idxBox, isIOU));\n }\n\n indicesSortedByScore = indicesSortedByScore.filter(\n (_, j) => outputs[j] <= iouThreshold,\n );\n }\n\n return pick;\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nexport function normalize(x: tf.Tensor4D, meanRgb: number[]): tf.Tensor4D {\n return tf.tidy(() => {\n const [r, g, b] = meanRgb;\n const avg_r = tf.fill([...x.shape.slice(0, 3), 1], r, 'float32');\n const avg_g = tf.fill([...x.shape.slice(0, 3), 1], g, 'float32');\n const avg_b = tf.fill([...x.shape.slice(0, 3), 1], b, 'float32');\n const avg_rgb = tf.concat([avg_r, avg_g, avg_b], 3);\n\n return tf.sub(x, avg_rgb);\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\n/**\n * Pads the smaller dimension of an image tensor with zeros, such that width === height.\n *\n * @param imgTensor The image tensor.\n * @param isCenterImage (optional, default: false) If true, add an equal amount of padding on\n * both sides of the minor dimension oof the image.\n * @returns The padded tensor with width === height.\n */\nexport function padToSquare(imgTensor: tf.Tensor4D, isCenterImage = false): tf.Tensor4D {\n return tf.tidy(() => {\n const [height, width] = imgTensor.shape.slice(1);\n if (height === width) return imgTensor;\n const dimDiff = Math.abs(height - width);\n const paddingAmount = Math.round(dimDiff * (isCenterImage ? 0.5 : 1));\n const paddingAxis = height > width ? 2 : 1;\n const createPaddingTensor = (paddingAmountLocal: number): tf.Tensor => {\n const paddingTensorShape = imgTensor.shape.slice();\n paddingTensorShape[paddingAxis] = paddingAmountLocal;\n return tf.fill(paddingTensorShape, 0, 'float32');\n };\n const paddingTensorAppend = createPaddingTensor(paddingAmount);\n const remainingPaddingAmount = dimDiff - (paddingTensorAppend.shape[paddingAxis] as number);\n const paddingTensorPrepend = isCenterImage && remainingPaddingAmount ? createPaddingTensor(remainingPaddingAmount) : null;\n const tensorsToStack = [paddingTensorPrepend, imgTensor, paddingTensorAppend]\n .filter((t) => !!t)\n .map((t) => tf.cast(t as tf.Tensor4D, 'float32')) as tf.Tensor4D[];\n return tf.concat(tensorsToStack, paddingAxis);\n });\n}\n", "export function shuffleArray(inputArray: any[]) {\n const array = inputArray.slice();\n for (let i = array.length - 1; i > 0; i--) {\n const j = Math.floor(Math.random() * (i + 1));\n const x = array[i];\n array[i] = array[j];\n array[j] = x;\n }\n return array;\n}\n", "export * from './iou';\nexport * from './minBbox';\nexport * from './nonMaxSuppression';\nexport * from './normalize';\nexport * from './padToSquare';\nexport * from './shuffleArray';\n\nexport function sigmoid(x: number) {\n return 1 / (1 + Math.exp(-x));\n}\n\nexport function inverseSigmoid(x: number) {\n return Math.log(x / (1 - x));\n}\n", "import { Box } from './Box';\n\nexport interface IRect {\n x: number\n y: number\n width: number\n height: number\n}\n\nexport class Rect extends Box implements IRect {\n constructor(x: number, y: number, width: number, height: number, allowNegativeDimensions = false) {\n super({ x, y, width, height }, allowNegativeDimensions);\n }\n}\n", "import { minBbox } from '../ops/index';\nimport { getCenterPoint } from '../utils/index';\nimport { IBoundingBox } from './BoundingBox';\nimport { Box } from './Box';\nimport { Dimensions, IDimensions } from './Dimensions';\nimport { FaceDetection } from './FaceDetection';\nimport { Point } from './Point';\nimport { IRect, Rect } from './Rect';\n\n// face alignment constants\nconst relX = 0.5;\nconst relY = 0.43;\nconst relScale = 0.45;\n\nexport interface IFaceLandmarks {\n positions: Point[]\n shift: Point\n}\n\nexport class FaceLandmarks implements IFaceLandmarks {\n protected _shift: Point;\n\n protected _positions: Point[];\n\n protected _imgDims: Dimensions;\n\n constructor(\n relativeFaceLandmarkPositions: Point[],\n imgDims: IDimensions,\n shift: Point = new Point(0, 0),\n ) {\n const { width, height } = imgDims;\n this._imgDims = new Dimensions(width, height);\n this._shift = shift;\n this._positions = relativeFaceLandmarkPositions.map(\n (pt) => pt.mul(new Point(width, height)).add(shift),\n );\n }\n\n public get shift(): Point { return new Point(this._shift.x, this._shift.y); }\n\n public get imageWidth(): number { return this._imgDims.width; }\n\n public get imageHeight(): number { return this._imgDims.height; }\n\n public get positions(): Point[] { return this._positions; }\n\n public get relativePositions(): Point[] {\n return this._positions.map(\n (pt) => pt.sub(this._shift).div(new Point(this.imageWidth, this.imageHeight)),\n );\n }\n\n public forSize(width: number, height: number): T {\n return new (this.constructor as any)(\n this.relativePositions,\n { width, height },\n );\n }\n\n public shiftBy(x: number, y: number): T {\n return new (this.constructor as any)(\n this.relativePositions,\n this._imgDims,\n new Point(x, y),\n );\n }\n\n public shiftByPoint(pt: Point): T {\n return this.shiftBy(pt.x, pt.y);\n }\n\n /**\n * Aligns the face landmarks after face detection from the relative positions of the faces\n * bounding box, or it's current shift. This function should be used to align the face images\n * after face detection has been performed, before they are passed to the face recognition net.\n * This will make the computed face descriptor more accurate.\n *\n * @param detection (optional) The bounding box of the face or the face detection result. If\n * no argument was passed the position of the face landmarks are assumed to be relative to\n * it's current shift.\n * @returns The bounding box of the aligned face.\n */\n public align(\n detection?: FaceDetection | IRect | IBoundingBox | null,\n options: { useDlibAlignment?: boolean, minBoxPadding?: number } = { },\n ): Box {\n if (detection) {\n const box = detection instanceof FaceDetection\n ? detection.box.floor()\n : new Box(detection);\n\n return this.shiftBy(box.x, box.y).align(null, options);\n }\n\n const { useDlibAlignment, minBoxPadding } = { useDlibAlignment: false, minBoxPadding: 0.2, ...options };\n\n if (useDlibAlignment) {\n return this.alignDlib();\n }\n\n return this.alignMinBbox(minBoxPadding);\n }\n\n private alignDlib(): Box {\n const centers = this.getRefPointsForAlignment();\n\n const [leftEyeCenter, rightEyeCenter, mouthCenter] = centers;\n const distToMouth = (pt: Point) => mouthCenter.sub(pt).magnitude();\n const eyeToMouthDist = (distToMouth(leftEyeCenter) + distToMouth(rightEyeCenter)) / 2;\n\n const size = Math.floor(eyeToMouthDist / relScale);\n\n const refPoint = getCenterPoint(centers);\n // TODO: pad in case rectangle is out of image bounds\n const x = Math.floor(Math.max(0, refPoint.x - (relX * size)));\n const y = Math.floor(Math.max(0, refPoint.y - (relY * size)));\n\n return new Rect(x, y, Math.min(size, this.imageWidth + x), Math.min(size, this.imageHeight + y));\n }\n\n private alignMinBbox(padding: number): Box {\n const box = minBbox(this.positions);\n return box.pad(box.width * padding, box.height * padding);\n }\n\n protected getRefPointsForAlignment(): Point[] {\n throw new Error('getRefPointsForAlignment not implemented by base class');\n }\n}\n", "import { getCenterPoint } from '../utils/index';\nimport { FaceLandmarks } from './FaceLandmarks';\nimport { Point } from './Point';\n\nexport class FaceLandmarks5 extends FaceLandmarks {\n protected override getRefPointsForAlignment(): Point[] {\n const pts = this.positions;\n return [\n pts[0],\n pts[1],\n getCenterPoint([pts[3], pts[4]]),\n ];\n }\n}\n", "import { getCenterPoint } from '../utils/index';\nimport { FaceLandmarks } from './FaceLandmarks';\nimport { Point } from './Point';\n\nexport class FaceLandmarks68 extends FaceLandmarks {\n public getJawOutline(): Point[] {\n return this.positions.slice(0, 17);\n }\n\n public getLeftEyeBrow(): Point[] {\n return this.positions.slice(17, 22);\n }\n\n public getRightEyeBrow(): Point[] {\n return this.positions.slice(22, 27);\n }\n\n public getNose(): Point[] {\n return this.positions.slice(27, 36);\n }\n\n public getLeftEye(): Point[] {\n return this.positions.slice(36, 42);\n }\n\n public getRightEye(): Point[] {\n return this.positions.slice(42, 48);\n }\n\n public getMouth(): Point[] {\n return this.positions.slice(48, 68);\n }\n\n protected override getRefPointsForAlignment(): Point[] {\n return [\n this.getLeftEye(),\n this.getRightEye(),\n this.getMouth(),\n ].map(getCenterPoint);\n }\n}\n", "import { round } from '../utils/index';\n\nexport interface IFaceMatch {\n label: string\n distance: number\n}\n\nexport class FaceMatch implements IFaceMatch {\n private _label: string;\n private _distance: number;\n\n constructor(label: string, distance: number) {\n this._label = label;\n this._distance = distance;\n }\n\n public get label(): string { return this._label; }\n\n public get distance(): number { return this._distance; }\n\n public toString(withDistance = true): string {\n return `${this.label}${withDistance ? ` (${round(this.distance)})` : ''}`;\n }\n}\n", "import { isValidNumber } from '../utils/index';\nimport { IBoundingBox } from './BoundingBox';\nimport { Box } from './Box';\nimport { IRect } from './Rect';\n\nexport class LabeledBox extends Box {\n public static assertIsValidLabeledBox(box: any, callee: string) {\n Box.assertIsValidBox(box, callee);\n if (!isValidNumber(box.label)) {\n throw new Error(`${callee} - expected property label (${box.label}) to be a number`);\n }\n }\n\n private _label: number;\n\n constructor(box: IBoundingBox | IRect | any, label: number) {\n super(box);\n this._label = label;\n }\n\n public get label(): number { return this._label; }\n}\n", "export class LabeledFaceDescriptors {\n private _label: string;\n\n private _descriptors: Float32Array[];\n\n constructor(label: string, descriptors: Float32Array[]) {\n if (!(typeof label === 'string')) {\n throw new Error('LabeledFaceDescriptors - constructor expected label to be a string');\n }\n\n if (!Array.isArray(descriptors) || descriptors.some((desc) => !(desc instanceof Float32Array))) {\n throw new Error('LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array');\n }\n\n this._label = label;\n this._descriptors = descriptors;\n }\n\n public get label(): string { return this._label; }\n\n public get descriptors(): Float32Array[] { return this._descriptors; }\n\n public toJSON(): any {\n return {\n label: this.label,\n descriptors: this.descriptors.map((d) => Array.from(d)),\n };\n }\n\n public static fromJSON(json: any): LabeledFaceDescriptors {\n const descriptors = json.descriptors.map((d: any) => new Float32Array(d));\n return new LabeledFaceDescriptors(json.label, descriptors);\n }\n}\n", "import { isValidProbablitiy } from '../utils/index';\nimport { IBoundingBox } from './BoundingBox';\nimport { LabeledBox } from './LabeledBox';\nimport { IRect } from './Rect';\n\nexport class PredictedBox extends LabeledBox {\n public static assertIsValidPredictedBox(box: any, callee: string) {\n LabeledBox.assertIsValidLabeledBox(box, callee);\n\n if (\n !isValidProbablitiy(box.score)\n || !isValidProbablitiy(box.classScore)\n ) {\n throw new Error(`${callee} - expected properties score (${box.score}) and (${box.classScore}) to be a number between [0, 1]`);\n }\n }\n\n private _score: number;\n\n private _classScore: number;\n\n constructor(box: IBoundingBox | IRect | any, label: number, score: number, classScore: number) {\n super(box, label);\n this._score = score;\n this._classScore = classScore;\n }\n\n public get score(): number { return this._score; }\n\n public get classScore(): number { return this._classScore; }\n}\n", "import { FaceDetection } from '../classes/FaceDetection';\n\nexport type WithFaceDetection = TSource & {\n detection: FaceDetection\n}\n\nexport function isWithFaceDetection(obj: any): obj is WithFaceDetection<{}> {\n return obj.detection instanceof FaceDetection;\n}\n\nexport function extendWithFaceDetection(sourceObj: TSource, detection: FaceDetection): WithFaceDetection {\n const extension = { detection };\n return { ...sourceObj, ...extension };\n}\n", "import { Environment } from './types';\n\nexport function createBrowserEnv(): Environment {\n const fetch = window.fetch;\n if (!fetch) throw new Error('fetch - missing fetch implementation for browser environment');\n\n const readFile = () => {\n throw new Error('readFile - filesystem not available for browser environment');\n };\n\n return {\n Canvas: HTMLCanvasElement,\n CanvasRenderingContext2D,\n Image: HTMLImageElement,\n ImageData,\n Video: HTMLVideoElement,\n createCanvasElement: () => document.createElement('canvas'),\n createImageElement: () => document.createElement('img'),\n createVideoElement: () => document.createElement('video'),\n fetch,\n readFile,\n };\n}\n", "export function isNodejs(): boolean {\n return typeof global === 'object'\n && typeof process !== 'undefined'\n && process.versions != null\n && process.versions.node != null;\n}\n", "import { FileSystem } from './types';\nimport { isNodejs } from './isNodejs';\n\nexport function createFileSystem(fs?: any): FileSystem {\n let requireFsError = '';\n if (!fs && isNodejs()) {\n try {\n // eslint-disable-next-line global-require\n fs = require('fs');\n } catch (err) {\n requireFsError = (err as any).toString();\n }\n }\n\n const readFile = fs\n ? (filePath: string) => new Promise((resolve, reject) => { fs.readFile(filePath, (err: any, buffer) => (err ? reject(err) : resolve(buffer))); })\n : () => { throw new Error(`readFile - failed to require fs in nodejs environment with error: ${requireFsError}`); };\n return { readFile };\n}\n", "/* eslint-disable max-classes-per-file */\nimport { createFileSystem } from './createFileSystem';\nimport { Environment } from './types';\n\nexport function createNodejsEnv(): Environment {\n // eslint-disable-next-line dot-notation\n const Canvas = global['Canvas'] || global.HTMLCanvasElement;\n const Image = global.Image || global.HTMLImageElement;\n // eslint-disable-next-line dot-notation\n const Video = global['Video'] || global.HTMLVideoElement;\n\n const createCanvasElement = () => {\n if (Canvas) return new Canvas();\n throw new Error('createCanvasElement - missing Canvas implementation for nodejs environment');\n };\n\n const createImageElement = () => {\n if (Image) return new Image();\n throw new Error('createImageElement - missing Image implementation for nodejs environment');\n };\n\n const createVideoElement = () => {\n if (Video) return new Video();\n throw new Error('createVideoElement - missing Video implementation for nodejs environment');\n };\n\n const fetch = global.fetch;\n // if (!fetch) throw new Error('fetch - missing fetch implementation for nodejs environment');\n\n const fileSystem = createFileSystem();\n\n return {\n Canvas: Canvas || class {},\n CanvasRenderingContext2D: global.CanvasRenderingContext2D || class {},\n Image: Image || class {},\n ImageData: global.ImageData || class {},\n Video: global.HTMLVideoElement || class {},\n createCanvasElement,\n createImageElement,\n createVideoElement,\n fetch,\n ...fileSystem,\n };\n}\n", "export function isBrowser(): boolean {\n return typeof window === 'object'\n && typeof document !== 'undefined'\n && typeof HTMLImageElement !== 'undefined'\n && typeof HTMLCanvasElement !== 'undefined'\n && typeof HTMLVideoElement !== 'undefined'\n && typeof ImageData !== 'undefined'\n && typeof CanvasRenderingContext2D !== 'undefined';\n}\n", "import { createBrowserEnv } from './createBrowserEnv';\nimport { createFileSystem } from './createFileSystem';\nimport { createNodejsEnv } from './createNodejsEnv';\nimport { isBrowser } from './isBrowser';\nimport { isNodejs } from './isNodejs';\nimport { Environment } from './types';\n\nlet environment: Environment | null;\n\nfunction getEnv(): Environment {\n if (!environment) {\n throw new Error('getEnv - environment is not defined, check isNodejs() and isBrowser()');\n }\n return environment;\n}\n\nfunction setEnv(env: Environment) {\n environment = env;\n}\n\nfunction initialize() {\n // check for isBrowser() first to prevent electron renderer process\n // to be initialized with wrong environment due to isNodejs() returning true\n if (isBrowser()) return setEnv(createBrowserEnv());\n if (isNodejs()) return setEnv(createNodejsEnv());\n return null;\n}\n\nfunction monkeyPatch(env: Partial) {\n if (!environment) {\n initialize();\n }\n\n if (!environment) {\n throw new Error('monkeyPatch - environment is not defined, check isNodejs() and isBrowser()');\n }\n\n const { Canvas = environment.Canvas, Image = environment.Image } = env;\n environment.Canvas = Canvas;\n environment.Image = Image;\n environment.createCanvasElement = env.createCanvasElement || (() => new Canvas());\n environment.createImageElement = env.createImageElement || (() => new Image());\n\n environment.ImageData = env.ImageData || environment.ImageData;\n environment.Video = env.Video || environment.Video;\n environment.fetch = env.fetch || environment.fetch;\n environment.readFile = env.readFile || environment.readFile;\n}\n\nexport const env = {\n getEnv,\n setEnv,\n initialize,\n createBrowserEnv,\n createFileSystem,\n createNodejsEnv,\n monkeyPatch,\n isBrowser,\n isNodejs,\n};\n\ninitialize();\n\nexport * from './types';\n", "import { env } from '../env/index';\n\nexport function resolveInput(arg: string | any) {\n if (!env.isNodejs() && typeof arg === 'string') {\n return document.getElementById(arg);\n }\n return arg;\n}\n", "import { env } from '../env/index';\nimport { resolveInput } from './resolveInput';\n\nexport function getContext2dOrThrow(canvasArg: string | HTMLCanvasElement | CanvasRenderingContext2D): CanvasRenderingContext2D {\n const { Canvas, CanvasRenderingContext2D } = env.getEnv();\n\n if (canvasArg instanceof CanvasRenderingContext2D) {\n return canvasArg;\n }\n\n const canvas = resolveInput(canvasArg);\n\n if (!(canvas instanceof Canvas)) {\n throw new Error('resolveContext2d - expected canvas to be of instance of Canvas');\n }\n\n const ctx = canvas.getContext('2d');\n if (!ctx) {\n throw new Error('resolveContext2d - canvas 2d context is null');\n }\n\n return ctx;\n}\n", "/* eslint-disable max-classes-per-file */\nimport { IDimensions, IPoint } from '../classes/index';\nimport { getContext2dOrThrow } from '../dom/getContext2dOrThrow';\nimport { resolveInput } from '../dom/resolveInput';\n\n// eslint-disable-next-line no-shadow\nexport enum AnchorPosition {\n // eslint-disable-next-line no-unused-vars\n TOP_LEFT = 'TOP_LEFT',\n // eslint-disable-next-line no-unused-vars\n TOP_RIGHT = 'TOP_RIGHT',\n // eslint-disable-next-line no-unused-vars\n BOTTOM_LEFT = 'BOTTOM_LEFT',\n // eslint-disable-next-line no-unused-vars\n BOTTOM_RIGHT = 'BOTTOM_RIGHT'\n}\n\nexport interface IDrawTextFieldOptions {\n anchorPosition?: AnchorPosition\n backgroundColor?: string\n fontColor?: string\n fontSize?: number\n fontStyle?: string\n padding?: number\n}\n\nexport class DrawTextFieldOptions implements IDrawTextFieldOptions {\n public anchorPosition: AnchorPosition;\n\n public backgroundColor: string;\n\n public fontColor: string;\n\n public fontSize: number;\n\n public fontStyle: string;\n\n public padding: number;\n\n constructor(options: IDrawTextFieldOptions = {}) {\n const {\n anchorPosition, backgroundColor, fontColor, fontSize, fontStyle, padding,\n } = options;\n this.anchorPosition = anchorPosition || AnchorPosition.TOP_LEFT;\n this.backgroundColor = backgroundColor || 'rgba(0, 0, 0, 0.5)';\n this.fontColor = fontColor || 'rgba(255, 255, 255, 1)';\n this.fontSize = fontSize || 14;\n this.fontStyle = fontStyle || 'Georgia';\n this.padding = padding || 4;\n }\n}\n\nexport class DrawTextField {\n public text: string[];\n\n public anchor : IPoint;\n\n public options: DrawTextFieldOptions;\n\n constructor(\n text: string | string[] | DrawTextField,\n anchor: IPoint,\n options: IDrawTextFieldOptions = {},\n ) {\n // eslint-disable-next-line no-nested-ternary\n this.text = typeof text === 'string'\n ? [text]\n : (text instanceof DrawTextField ? text.text : text);\n this.anchor = anchor;\n this.options = new DrawTextFieldOptions(options);\n }\n\n measureWidth(ctx: CanvasRenderingContext2D): number {\n const { padding } = this.options;\n return this.text.map((l) => ctx.measureText(l).width).reduce((w0, w1) => (w0 < w1 ? w1 : w0), 0) + (2 * padding);\n }\n\n measureHeight(): number {\n const { fontSize, padding } = this.options;\n return this.text.length * fontSize + (2 * padding);\n }\n\n getUpperLeft(ctx: CanvasRenderingContext2D, canvasDims?: IDimensions): IPoint {\n const { anchorPosition } = this.options;\n const isShiftLeft = anchorPosition === AnchorPosition.BOTTOM_RIGHT || anchorPosition === AnchorPosition.TOP_RIGHT;\n const isShiftTop = anchorPosition === AnchorPosition.BOTTOM_LEFT || anchorPosition === AnchorPosition.BOTTOM_RIGHT;\n\n const textFieldWidth = this.measureWidth(ctx);\n const textFieldHeight = this.measureHeight();\n const x = (isShiftLeft ? this.anchor.x - textFieldWidth : this.anchor.x);\n const y = isShiftTop ? this.anchor.y - textFieldHeight : this.anchor.y;\n\n // adjust anchor if text box exceeds canvas borders\n if (canvasDims) {\n const { width, height } = canvasDims;\n const newX = Math.max(Math.min(x, width - textFieldWidth), 0);\n const newY = Math.max(Math.min(y, height - textFieldHeight), 0);\n return { x: newX, y: newY };\n }\n return { x, y };\n }\n\n draw(canvasArg: string | HTMLCanvasElement | CanvasRenderingContext2D) {\n const canvas = resolveInput(canvasArg);\n const ctx = getContext2dOrThrow(canvas);\n\n const {\n backgroundColor, fontColor, fontSize, fontStyle, padding,\n } = this.options;\n\n ctx.font = `${fontSize}px ${fontStyle}`;\n const maxTextWidth = this.measureWidth(ctx);\n const textHeight = this.measureHeight();\n\n ctx.fillStyle = backgroundColor;\n const upperLeft = this.getUpperLeft(ctx, canvas);\n ctx.fillRect(upperLeft.x, upperLeft.y, maxTextWidth, textHeight);\n\n ctx.fillStyle = fontColor;\n this.text.forEach((textLine, i) => {\n const x = padding + upperLeft.x;\n const y = padding + upperLeft.y + ((i + 1) * fontSize);\n ctx.fillText(textLine, x, y);\n });\n }\n}\n", "/* eslint-disable max-classes-per-file */\nimport { Box, IBoundingBox, IRect } from '../classes/index';\nimport { getContext2dOrThrow } from '../dom/getContext2dOrThrow';\nimport { AnchorPosition, DrawTextField, DrawTextFieldOptions, IDrawTextFieldOptions } from './DrawTextField';\n\nexport interface IDrawBoxOptions {\n boxColor?: string\n lineWidth?: number\n drawLabelOptions?: IDrawTextFieldOptions\n label?: string\n}\n\nexport class DrawBoxOptions {\n public boxColor: string;\n\n public lineWidth: number;\n\n public drawLabelOptions: DrawTextFieldOptions;\n\n public label?: string;\n\n constructor(options: IDrawBoxOptions = {}) {\n const {\n boxColor, lineWidth, label, drawLabelOptions,\n } = options;\n this.boxColor = boxColor || 'rgba(0, 0, 255, 1)';\n this.lineWidth = lineWidth || 2;\n this.label = label;\n\n const defaultDrawLabelOptions = {\n anchorPosition: AnchorPosition.BOTTOM_LEFT,\n backgroundColor: this.boxColor,\n };\n this.drawLabelOptions = new DrawTextFieldOptions({ ...defaultDrawLabelOptions, ...drawLabelOptions });\n }\n}\n\nexport class DrawBox {\n public box: Box;\n\n public options: DrawBoxOptions;\n\n constructor(\n box: IBoundingBox | IRect,\n options: IDrawBoxOptions = {},\n ) {\n this.box = new Box(box);\n this.options = new DrawBoxOptions(options);\n }\n\n draw(canvasArg: string | HTMLCanvasElement | CanvasRenderingContext2D) {\n const ctx = getContext2dOrThrow(canvasArg);\n\n const { boxColor, lineWidth } = this.options;\n\n const {\n x, y, width, height,\n } = this.box;\n ctx.strokeStyle = boxColor;\n ctx.lineWidth = lineWidth;\n ctx.strokeRect(x, y, width, height);\n\n const { label } = this.options;\n if (label) {\n new DrawTextField([label], { x: x - (lineWidth / 2), y }, this.options.drawLabelOptions).draw(canvasArg);\n }\n }\n}\n", "import { Box, IBoundingBox, IRect } from '../classes/index';\nimport { FaceDetection } from '../classes/FaceDetection';\nimport { isWithFaceDetection, WithFaceDetection } from '../factories/WithFaceDetection';\nimport { round } from '../utils/index';\nimport { DrawBox } from './DrawBox';\n\nexport type TDrawDetectionsInput = IRect | IBoundingBox | FaceDetection | WithFaceDetection<{}>\n\nexport function drawDetections(\n canvasArg: string | HTMLCanvasElement,\n detections: TDrawDetectionsInput | Array,\n) {\n const detectionsArray = Array.isArray(detections) ? detections : [detections];\n\n detectionsArray.forEach((det) => {\n // eslint-disable-next-line no-nested-ternary\n const score = det instanceof FaceDetection\n ? det.score\n : (isWithFaceDetection(det) ? det.detection.score : undefined);\n\n // eslint-disable-next-line no-nested-ternary\n const box = det instanceof FaceDetection\n ? det.box\n : (isWithFaceDetection(det) ? det.detection.box : new Box(det));\n\n const label = score ? `${round(score)}` : undefined;\n new DrawBox(box, { label }).draw(canvasArg);\n });\n}\n", "import { env } from '../env/index';\n\nexport function isMediaLoaded(media: HTMLImageElement | HTMLVideoElement) : boolean {\n const { Image, Video } = env.getEnv();\n\n return (media instanceof Image && media.complete)\n || (media instanceof Video && media.readyState >= 3);\n}\n", "import { env } from '../env/index';\nimport { isMediaLoaded } from './isMediaLoaded';\n\nexport function awaitMediaLoaded(media: HTMLImageElement | HTMLVideoElement | HTMLCanvasElement) {\n // eslint-disable-next-line consistent-return\n return new Promise((resolve, reject) => {\n if (media instanceof env.getEnv().Canvas || isMediaLoaded(media)) resolve(null);\n\n function onError(e: Event) {\n if (!e.currentTarget) return;\n // eslint-disable-next-line no-use-before-define\n e.currentTarget.removeEventListener('load', onLoad);\n e.currentTarget.removeEventListener('error', onError);\n reject(e);\n }\n\n function onLoad(e: Event) {\n if (!e.currentTarget) return;\n e.currentTarget.removeEventListener('load', onLoad);\n e.currentTarget.removeEventListener('error', onError);\n resolve(e);\n }\n\n media.addEventListener('load', onLoad);\n media.addEventListener('error', onError);\n });\n}\n", "import { env } from '../env/index';\n\nexport function bufferToImage(buf: Blob): Promise {\n return new Promise((resolve, reject) => {\n if (!(buf instanceof Blob)) reject(new Error('bufferToImage - expected buf to be of type: Blob'));\n const reader = new FileReader();\n reader.onload = () => {\n if (typeof reader.result !== 'string') reject(new Error('bufferToImage - expected reader.result to be a string, in onload'));\n const img = env.getEnv().createImageElement();\n img.onload = () => resolve(img);\n img.onerror = reject;\n img.src = reader.result as string;\n };\n reader.onerror = reject;\n reader.readAsDataURL(buf);\n });\n}\n", "import { Dimensions, IDimensions } from '../classes/Dimensions';\nimport { env } from '../env/index';\n\nexport function getMediaDimensions(input: HTMLImageElement | HTMLCanvasElement | HTMLVideoElement | IDimensions): Dimensions {\n const { Image, Video } = env.getEnv();\n\n if (input instanceof Image) {\n return new Dimensions(input.naturalWidth, input.naturalHeight);\n }\n if (input instanceof Video) {\n return new Dimensions(input.videoWidth, input.videoHeight);\n }\n return new Dimensions(input.width, input.height);\n}\n", "import { IDimensions } from '../classes/Dimensions';\nimport { env } from '../env/index';\nimport { getContext2dOrThrow } from './getContext2dOrThrow';\nimport { getMediaDimensions } from './getMediaDimensions';\nimport { isMediaLoaded } from './isMediaLoaded';\n\nexport function createCanvas({ width, height }: IDimensions): HTMLCanvasElement {\n const { createCanvasElement } = env.getEnv();\n const canvas = createCanvasElement();\n canvas.width = width;\n canvas.height = height;\n return canvas;\n}\n\nexport function createCanvasFromMedia(media: HTMLImageElement | HTMLVideoElement | ImageData, dims?: IDimensions): HTMLCanvasElement {\n const { ImageData } = env.getEnv();\n\n if (!(media instanceof ImageData) && !isMediaLoaded(media)) {\n throw new Error('createCanvasFromMedia - media has not finished loading yet');\n }\n\n const { width, height } = dims || getMediaDimensions(media);\n const canvas = createCanvas({ width, height });\n\n if (media instanceof ImageData) {\n getContext2dOrThrow(canvas).putImageData(media, 0, 0);\n } else {\n getContext2dOrThrow(canvas).drawImage(media, 0, 0, width, height);\n }\n return canvas;\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { env } from '../env/index';\nimport { isTensor4D } from '../utils/index';\n\nexport async function imageTensorToCanvas(\n imgTensor: tf.Tensor,\n canvas?: HTMLCanvasElement,\n): Promise {\n const targetCanvas = canvas || env.getEnv().createCanvasElement();\n\n const [height, width, numChannels] = imgTensor.shape.slice(isTensor4D(imgTensor) ? 1 : 0);\n const imgTensor3D = tf.tidy(() => imgTensor.as3D(height, width, numChannels).toInt());\n await tf['browser'].toPixels(imgTensor3D, targetCanvas);\n\n imgTensor3D.dispose();\n\n return targetCanvas;\n}\n", "import { env } from '../env/index';\n\nexport function isMediaElement(input: any) {\n const { Image, Canvas, Video } = env.getEnv();\n\n return input instanceof Image\n || input instanceof Canvas\n || input instanceof Video;\n}\n", "import { env } from '../env/index';\nimport { createCanvas, createCanvasFromMedia } from './createCanvas';\nimport { getContext2dOrThrow } from './getContext2dOrThrow';\nimport { getMediaDimensions } from './getMediaDimensions';\n\nexport function imageToSquare(input: HTMLImageElement | HTMLCanvasElement, inputSize: number, centerImage = false) {\n const { Image, Canvas } = env.getEnv();\n\n if (!(input instanceof Image || input instanceof Canvas)) {\n throw new Error('imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement');\n }\n\n if (inputSize <= 0) return createCanvas({ width: 1, height: 1 });\n const dims = getMediaDimensions(input);\n const scale = inputSize / Math.max(dims.height, dims.width);\n const width = scale * dims.width;\n const height = scale * dims.height;\n\n const targetCanvas = createCanvas({ width: inputSize, height: inputSize });\n const inputCanvas = input instanceof Canvas ? input : createCanvasFromMedia(input);\n\n const offset = Math.abs(width - height) / 2;\n const dx = centerImage && width < height ? offset : 0;\n const dy = centerImage && height < width ? offset : 0;\n if (inputCanvas.width > 0 && inputCanvas.height > 0) getContext2dOrThrow(targetCanvas).drawImage(inputCanvas, dx, dy, width, height);\n\n return targetCanvas;\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { Dimensions } from '../classes/Dimensions';\nimport { env } from '../env/index';\nimport { padToSquare } from '../ops/padToSquare';\nimport { computeReshapedDimensions, isTensor3D, isTensor4D, range } from '../utils/index';\nimport { createCanvasFromMedia } from './createCanvas';\nimport { imageToSquare } from './imageToSquare';\nimport { TResolvedNetInput } from './types';\n\nexport class NetInput {\n private _imageTensors: Array = [];\n\n private _canvases: HTMLCanvasElement[] = [];\n\n private _batchSize: number;\n\n private _treatAsBatchInput = false;\n\n private _inputDimensions: number[][] = [];\n\n private _inputSize = 0;\n\n constructor(inputs: Array, treatAsBatchInput = false) {\n if (!Array.isArray(inputs)) {\n throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${inputs}`);\n }\n\n this._treatAsBatchInput = treatAsBatchInput;\n this._batchSize = inputs.length;\n\n inputs.forEach((input, idx) => {\n if (isTensor3D(input)) {\n this._imageTensors[idx] = input;\n this._inputDimensions[idx] = input.shape;\n return;\n }\n\n if (isTensor4D(input)) {\n const batchSize = (input as any).shape[0];\n if (batchSize !== 1) {\n throw new Error(`NetInput - tf.Tensor4D with batchSize ${batchSize} passed, but not supported in input array`);\n }\n\n this._imageTensors[idx] = input;\n this._inputDimensions[idx] = (input as any).shape.slice(1);\n return;\n }\n\n // @ts-ignore\n const canvas = (input as any) instanceof env.getEnv().Canvas ? input : createCanvasFromMedia(input);\n this._canvases[idx] = canvas as HTMLCanvasElement;\n this._inputDimensions[idx] = [canvas.height, canvas.width, 3];\n });\n }\n\n public get imageTensors(): Array {\n return this._imageTensors;\n }\n\n public get canvases(): HTMLCanvasElement[] {\n return this._canvases;\n }\n\n public get isBatchInput(): boolean {\n return this.batchSize > 1 || this._treatAsBatchInput;\n }\n\n public get batchSize(): number {\n return this._batchSize;\n }\n\n public get inputDimensions(): number[][] {\n return this._inputDimensions;\n }\n\n public get inputSize(): number | undefined {\n return this._inputSize;\n }\n\n public get reshapedInputDimensions(): Dimensions[] {\n return range(this.batchSize, 0, 1).map(\n (_, batchIdx) => this.getReshapedInputDimensions(batchIdx),\n );\n }\n\n public getInput(batchIdx: number): tf.Tensor3D | tf.Tensor4D | HTMLCanvasElement {\n return this.canvases[batchIdx] || this.imageTensors[batchIdx];\n }\n\n public getInputDimensions(batchIdx: number): number[] {\n return this._inputDimensions[batchIdx];\n }\n\n public getInputHeight(batchIdx: number): number {\n return this._inputDimensions[batchIdx][0];\n }\n\n public getInputWidth(batchIdx: number): number {\n return this._inputDimensions[batchIdx][1];\n }\n\n public getReshapedInputDimensions(batchIdx: number): Dimensions {\n if (typeof this.inputSize !== 'number') {\n throw new Error('getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet');\n }\n\n const width = this.getInputWidth(batchIdx);\n const height = this.getInputHeight(batchIdx);\n return computeReshapedDimensions({ width, height }, this.inputSize);\n }\n\n /**\n * Create a batch tensor from all input canvases and tensors\n * with size [batchSize, inputSize, inputSize, 3].\n *\n * @param inputSize Height and width of the tensor.\n * @param isCenterImage (optional, default: false) If true, add an equal amount of padding on\n * both sides of the minor dimension oof the image.\n * @returns The batch tensor.\n */\n public toBatchTensor(inputSize: number, isCenterInputs = true): tf.Tensor4D {\n this._inputSize = inputSize;\n\n return tf.tidy(() => {\n const inputTensors = range(this.batchSize, 0, 1).map((batchIdx) => {\n const input = this.getInput(batchIdx);\n\n if (input instanceof tf.Tensor) {\n let imgTensor = isTensor4D(input) ? input : tf.expandDims(input);\n imgTensor = padToSquare(imgTensor as tf.Tensor4D, isCenterInputs);\n\n if (imgTensor.shape[1] !== inputSize || imgTensor.shape[2] !== inputSize) {\n imgTensor = tf['image'].resizeBilinear(imgTensor as tf.Tensor4D, [inputSize, inputSize], false, false);\n }\n\n return imgTensor.as3D(inputSize, inputSize, 3);\n }\n\n if (input instanceof env.getEnv().Canvas) {\n return tf['browser'].fromPixels(imageToSquare(input, inputSize, isCenterInputs));\n }\n\n throw new Error(`toBatchTensor - at batchIdx ${batchIdx}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${input}`);\n });\n\n const batchTensor = tf.stack(inputTensors.map((t) => tf.cast(t, 'float32'))).as4D(this.batchSize, inputSize, inputSize, 3);\n // const batchTensor = tf.stack(inputTensors.map((t) => tf.cast(t, 'float32'))) as tf.Tensor4D;\n\n return batchTensor;\n });\n }\n}\n", "import { isTensor3D, isTensor4D } from '../utils/index';\nimport { awaitMediaLoaded } from './awaitMediaLoaded';\nimport { isMediaElement } from './isMediaElement';\nimport { NetInput } from './NetInput';\nimport { resolveInput } from './resolveInput';\nimport { TNetInput } from './types';\n\n/**\n * Validates the input to make sure, they are valid net inputs and awaits all media elements\n * to be finished loading.\n *\n * @param input The input, which can be a media element or an array of different media elements.\n * @returns A NetInput instance, which can be passed into one of the neural networks.\n */\nexport async function toNetInput(inputs: TNetInput): Promise {\n if (inputs instanceof NetInput) return inputs;\n const inputArgArray = Array.isArray(inputs) ? inputs : [inputs];\n if (!inputArgArray.length) throw new Error('toNetInput - empty array passed as input');\n const getIdxHint = (idx: number) => (Array.isArray(inputs) ? ` at input index ${idx}:` : '');\n const inputArray = inputArgArray.map(resolveInput);\n inputArray.forEach((input, i) => {\n if (!isMediaElement(input) && !isTensor3D(input) && !isTensor4D(input)) {\n if (typeof inputArgArray[i] === 'string') throw new Error(`toNetInput -${getIdxHint(i)} string passed, but could not resolve HTMLElement for element id ${inputArgArray[i]}`);\n throw new Error(`toNetInput -${getIdxHint(i)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);\n }\n if (isTensor4D(input)) {\n // if tf.Tensor4D is passed in the input array, the batch size has to be 1\n const batchSize = input.shape[0];\n if (batchSize !== 1) throw new Error(`toNetInput -${getIdxHint(i)} tf.Tensor4D with batchSize ${batchSize} passed, but not supported in input array`);\n }\n });\n // wait for all media elements being loaded\n await Promise.all(inputArray.map((input) => isMediaElement(input) && awaitMediaLoaded(input)));\n return new NetInput(inputArray, Array.isArray(inputs));\n}\n", "import { FaceDetection } from '../classes/FaceDetection';\nimport { Rect } from '../classes/Rect';\nimport { env } from '../env/index';\nimport { createCanvas } from './createCanvas';\nimport { getContext2dOrThrow } from './getContext2dOrThrow';\nimport { imageTensorToCanvas } from './imageTensorToCanvas';\nimport { toNetInput } from './toNetInput';\nimport { TNetInput } from './types';\n\n/**\n * Extracts the image regions containing the detected faces.\n *\n * @param input The image that face detection has been performed on.\n * @param detections The face detection results or face bounding boxes for that image.\n * @returns The Canvases of the corresponding image region for each detected face.\n */\nexport async function extractFaces(input: TNetInput, detections: Array): Promise {\n const { Canvas } = env.getEnv();\n let canvas = input as HTMLCanvasElement;\n if (!(input instanceof Canvas)) {\n const netInput = await toNetInput(input);\n if (netInput.batchSize > 1) throw new Error('extractFaces - batchSize > 1 not supported');\n const tensorOrCanvas = netInput.getInput(0);\n canvas = tensorOrCanvas instanceof Canvas ? tensorOrCanvas : await imageTensorToCanvas(tensorOrCanvas);\n }\n const ctx = getContext2dOrThrow(canvas);\n const boxes = detections\n .map((det) => (det instanceof FaceDetection ? det.forSize(canvas.width, canvas.height).box.floor() : det))\n .map((box) => box.clipAtImageBorders(canvas.width, canvas.height));\n return boxes.map(({ x, y, width, height }) => {\n const faceImg = createCanvas({ width, height });\n if (width > 0 && height > 0) getContext2dOrThrow(faceImg).putImageData(ctx.getImageData(x, y, width, height), 0, 0);\n return faceImg;\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { Rect } from '../classes/index';\nimport { FaceDetection } from '../classes/FaceDetection';\nimport { isTensor3D, isTensor4D } from '../utils/index';\n\n/**\n * Extracts the tensors of the image regions containing the detected faces.\n * Useful if you want to compute the face descriptors for the face images.\n * Using this method is faster then extracting a canvas for each face and\n * converting them to tensors individually.\n *\n * @param imageTensor The image tensor that face detection has been performed on.\n * @param detections The face detection results or face bounding boxes for that image.\n * @returns Tensors of the corresponding image region for each detected face.\n */\nexport async function extractFaceTensors(imageTensor: tf.Tensor3D | tf.Tensor4D, detections: Array): Promise {\n if (!isTensor3D(imageTensor) && !isTensor4D(imageTensor)) {\n throw new Error('extractFaceTensors - expected image tensor to be 3D or 4D');\n }\n\n if (isTensor4D(imageTensor) && imageTensor.shape[0] > 1) {\n throw new Error('extractFaceTensors - batchSize > 1 not supported');\n }\n\n return tf.tidy(() => {\n const [imgHeight, imgWidth, numChannels] = imageTensor.shape.slice(isTensor4D(imageTensor) ? 1 : 0);\n const boxes = detections.map((det) => (det instanceof FaceDetection ? det.forSize(imgWidth, imgHeight).box : det))\n .map((box) => box.clipAtImageBorders(imgWidth, imgHeight));\n const faceTensors = boxes\n .filter((box) => box.width > 0 && box.height > 0)\n .map(({ x, y, width, height }) => tf.slice3d(imageTensor.as3D(imgHeight, imgWidth, numChannels), [y, x, 0], [height, width, numChannels]));\n return faceTensors;\n });\n}\n", "import { env } from '../env/index';\n\nexport async function fetchOrThrow(\n url: string,\n // eslint-disable-next-line no-undef\n init?: RequestInit,\n): Promise {\n const { fetch } = env.getEnv();\n const res = await fetch(url, init);\n if (!(res.status < 400)) {\n throw new Error(`failed to fetch: (${res.status}) ${res.statusText}, from url: ${res.url}`);\n }\n return res;\n}\n", "import { bufferToImage } from './bufferToImage';\nimport { fetchOrThrow } from './fetchOrThrow';\n\nexport async function fetchImage(uri: string): Promise {\n const res = await fetchOrThrow(uri);\n const blob = await (res).blob();\n\n if (!blob.type.startsWith('image/')) {\n throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${blob.type}, for url: ${res.url}`);\n }\n return bufferToImage(blob);\n}\n", "import { fetchOrThrow } from './fetchOrThrow';\n\nexport async function fetchJson(uri: string): Promise {\n return (await fetchOrThrow(uri)).json();\n}\n", "import { fetchOrThrow } from './fetchOrThrow';\n\nexport async function fetchNetWeights(uri: string): Promise {\n return new Float32Array(await (await fetchOrThrow(uri)).arrayBuffer());\n}\n", "import { env } from '../env/index';\n\nexport function bufferToVideo(buf: Blob): Promise {\n return new Promise((resolve, reject) => {\n if (!(buf instanceof Blob)) reject(new Error('bufferToVideo - expected buf to be of type: Blob'));\n\n const video = env.getEnv().createVideoElement();\n video.oncanplay = () => resolve(video);\n video.onerror = reject;\n video.playsInline = true;\n video.muted = true;\n video.src = URL.createObjectURL(buf);\n video.play();\n });\n}\n", "import { bufferToVideo } from './bufferToVideo';\nimport { fetchOrThrow } from './fetchOrThrow';\n\nexport async function fetchVideo(uri: string): Promise {\n const res = await fetchOrThrow(uri);\n const blob = await (res).blob();\n\n if (!blob.type.startsWith('video/')) {\n throw new Error(`fetchVideo - expected blob type to be of type video/*, instead have: ${blob.type}, for url: ${res.url}`);\n }\n return bufferToVideo(blob);\n}\n", "export function getModelUris(uri: string | undefined, defaultModelName: string) {\n const defaultManifestFilename = `${defaultModelName}-weights_manifest.json`;\n\n if (!uri) {\n return {\n modelBaseUri: '',\n manifestUri: defaultManifestFilename,\n };\n }\n\n if (uri === '/') {\n return {\n modelBaseUri: '/',\n manifestUri: `/${defaultManifestFilename}`,\n };\n }\n // eslint-disable-next-line no-nested-ternary\n const protocol = uri.startsWith('http://') ? 'http://' : uri.startsWith('https://') ? 'https://' : '';\n uri = uri.replace(protocol, '');\n\n const parts = uri.split('/').filter((s) => s);\n\n const manifestFile = uri.endsWith('.json')\n ? parts[parts.length - 1]\n : defaultManifestFilename;\n\n let modelBaseUri = protocol + (uri.endsWith('.json') ? parts.slice(0, parts.length - 1) : parts).join('/');\n modelBaseUri = uri.startsWith('/') ? `/${modelBaseUri}` : modelBaseUri;\n\n return {\n modelBaseUri,\n manifestUri: modelBaseUri === '/' ? `/${manifestFile}` : `${modelBaseUri}/${manifestFile}`,\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { getModelUris } from '../common/getModelUris';\nimport { fetchJson } from './fetchJson';\n\nexport async function loadWeightMap(\n uri: string | undefined,\n defaultModelName: string,\n): Promise {\n const { manifestUri, modelBaseUri } = getModelUris(uri, defaultModelName);\n // @ts-ignore\n const manifest = await fetchJson(manifestUri);\n // if (manifest['weightsManifest']) manifest = manifest['weightsManifest'];\n return tf['io'].loadWeights(manifest, modelBaseUri);\n}\n", "import { IDimensions } from '../classes/index';\nimport { getMediaDimensions } from './getMediaDimensions';\n\nexport function matchDimensions(input: IDimensions, reference: IDimensions, useMediaDimensions = false) {\n const { width, height } = useMediaDimensions\n ? getMediaDimensions(reference)\n : reference;\n input.width = width;\n input.height = height;\n return { width, height };\n}\n", "import * as tf from '../dist/tfjs.esm';\n\nimport { ParamMapping } from './common/index';\nimport { getModelUris } from './common/getModelUris';\nimport { loadWeightMap } from './dom/index';\nimport { env } from './env/index';\n\nexport abstract class NeuralNetwork {\n constructor(name: string) {\n this._name = name;\n }\n\n protected _params: TNetParams | undefined = undefined;\n\n protected _paramMappings: ParamMapping[] = [];\n\n public _name: any;\n\n public get params(): TNetParams | undefined { return this._params; }\n\n public get paramMappings(): ParamMapping[] { return this._paramMappings; }\n\n public get isLoaded(): boolean { return !!this.params; }\n\n public getParamFromPath(paramPath: string): tf.Tensor {\n const { obj, objProp } = this.traversePropertyPath(paramPath);\n return obj[objProp];\n }\n\n public reassignParamFromPath(paramPath: string, tensor: tf.Tensor) {\n const { obj, objProp } = this.traversePropertyPath(paramPath);\n obj[objProp].dispose();\n obj[objProp] = tensor;\n }\n\n public getParamList() {\n return this._paramMappings.map(({ paramPath }) => ({\n path: paramPath,\n tensor: this.getParamFromPath(paramPath),\n }));\n }\n\n public getTrainableParams() {\n return this.getParamList().filter((param) => param.tensor instanceof tf.Variable);\n }\n\n public getFrozenParams() {\n return this.getParamList().filter((param) => !(param.tensor instanceof tf.Variable));\n }\n\n public variable() {\n this.getFrozenParams().forEach(({ path, tensor }) => {\n this.reassignParamFromPath(path, tensor.variable());\n });\n }\n\n public freeze() {\n this.getTrainableParams().forEach(({ path, tensor: variable }) => {\n const tensor = tf.tensor(variable.dataSync());\n variable.dispose();\n this.reassignParamFromPath(path, tensor);\n });\n }\n\n public dispose(throwOnRedispose = true) {\n this.getParamList().forEach((param) => {\n if (throwOnRedispose && param.tensor.isDisposed) {\n throw new Error(`param tensor has already been disposed for path ${param.path}`);\n }\n param.tensor.dispose();\n });\n this._params = undefined;\n }\n\n public serializeParams(): Float32Array {\n return new Float32Array(\n this.getParamList()\n .map(({ tensor }) => Array.from(tensor.dataSync()) as number[])\n .reduce((flat, arr) => flat.concat(arr)),\n );\n }\n\n public async load(weightsOrUrl: Float32Array | string | undefined): Promise {\n if (weightsOrUrl instanceof Float32Array) {\n this.extractWeights(weightsOrUrl);\n return;\n }\n await this.loadFromUri(weightsOrUrl);\n }\n\n public async loadFromUri(uri: string | undefined) {\n if (uri && typeof uri !== 'string') {\n throw new Error(`${this._name}.loadFromUri - expected model uri`);\n }\n const weightMap = await loadWeightMap(uri, this.getDefaultModelName());\n this.loadFromWeightMap(weightMap);\n }\n\n public async loadFromDisk(filePath: string | undefined) {\n if (filePath && typeof filePath !== 'string') {\n throw new Error(`${this._name}.loadFromDisk - expected model file path`);\n }\n const { readFile } = env.getEnv();\n const { manifestUri, modelBaseUri } = getModelUris(filePath, this.getDefaultModelName());\n const fetchWeightsFromDisk = (filePaths: string[]) => Promise.all(filePaths.map((fp) => readFile(fp).then((buf) => buf.buffer)));\n const loadWeights = tf['io'].weightsLoaderFactory(fetchWeightsFromDisk);\n const manifest = JSON.parse((await readFile(manifestUri)).toString());\n const weightMap = await loadWeights(manifest, modelBaseUri);\n this.loadFromWeightMap(weightMap);\n }\n\n public loadFromWeightMap(weightMap: tf.NamedTensorMap) {\n const { paramMappings, params } = this.extractParamsFromWeightMap(weightMap);\n this._paramMappings = paramMappings;\n this._params = params;\n }\n\n public extractWeights(weights: Float32Array) {\n const { paramMappings, params } = this.extractParams(weights);\n this._paramMappings = paramMappings;\n this._params = params;\n }\n\n private traversePropertyPath(paramPath: string) {\n if (!this.params) {\n throw new Error('traversePropertyPath - model has no loaded params');\n }\n\n const result = paramPath.split('/').reduce((res: { nextObj: any, obj?: any, objProp?: string }, objProp) => {\n // eslint-disable-next-line no-prototype-builtins\n if (!res.nextObj.hasOwnProperty(objProp)) {\n throw new Error(`traversePropertyPath - object does not have property ${objProp}, for path ${paramPath}`);\n }\n return { obj: res.nextObj, objProp, nextObj: res.nextObj[objProp] };\n }, { nextObj: this.params });\n\n const { obj, objProp } = result;\n if (!obj || !objProp || !(obj[objProp] instanceof tf.Tensor)) {\n throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${paramPath}`);\n }\n\n return { obj, objProp };\n }\n\n protected abstract getDefaultModelName(): string\n\n // eslint-disable-next-line no-unused-vars\n protected abstract extractParamsFromWeightMap(weightMap: tf.NamedTensorMap): { params: TNetParams, paramMappings: ParamMapping[] }\n\n // eslint-disable-next-line no-unused-vars\n protected abstract extractParams(weights: Float32Array): { params: TNetParams, paramMappings: ParamMapping[] }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { SeparableConvParams } from './types';\n\nexport function depthwiseSeparableConv(\n x: tf.Tensor4D,\n params: SeparableConvParams,\n stride: [number, number],\n): tf.Tensor4D {\n return tf.tidy(() => {\n let out = tf.separableConv2d(x, params.depthwise_filter, params.pointwise_filter, stride, 'same');\n out = tf.add(out, params.bias);\n return out;\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams, SeparableConvParams } from '../common/index';\nimport { depthwiseSeparableConv } from '../common/depthwiseSeparableConv';\nimport { DenseBlock3Params, DenseBlock4Params } from './types';\n\nexport function denseBlock3(\n x: tf.Tensor4D,\n denseBlockParams: DenseBlock3Params,\n isFirstLayer = false,\n): tf.Tensor4D {\n return tf.tidy(() => {\n const out1 = tf.relu(\n isFirstLayer\n ? tf.add(\n tf.conv2d(x, (denseBlockParams.conv0 as ConvParams).filters, [2, 2], 'same'),\n denseBlockParams.conv0.bias,\n )\n : depthwiseSeparableConv(x, denseBlockParams.conv0 as SeparableConvParams, [2, 2]),\n ) as tf.Tensor4D;\n const out2 = depthwiseSeparableConv(out1, denseBlockParams.conv1, [1, 1]);\n\n const in3 = tf.relu(tf.add(out1, out2)) as tf.Tensor4D;\n const out3 = depthwiseSeparableConv(in3, denseBlockParams.conv2, [1, 1]);\n\n return tf.relu(tf.add(out1, tf.add(out2, out3))) as tf.Tensor4D;\n });\n}\n\nexport function denseBlock4(\n x: tf.Tensor4D,\n denseBlockParams: DenseBlock4Params,\n isFirstLayer = false,\n isScaleDown = true,\n): tf.Tensor4D {\n return tf.tidy(() => {\n const out1 = tf.relu(\n isFirstLayer\n ? tf.add(\n tf.conv2d(x, (denseBlockParams.conv0 as ConvParams).filters, isScaleDown ? [2, 2] : [1, 1], 'same'),\n denseBlockParams.conv0.bias,\n )\n : depthwiseSeparableConv(x, denseBlockParams.conv0 as SeparableConvParams, isScaleDown ? [2, 2] : [1, 1]),\n ) as tf.Tensor4D;\n const out2 = depthwiseSeparableConv(out1, denseBlockParams.conv1, [1, 1]);\n\n const in3 = tf.relu(tf.add(out1, out2)) as tf.Tensor4D;\n const out3 = depthwiseSeparableConv(in3, denseBlockParams.conv2, [1, 1]);\n\n const in4 = tf.relu(tf.add(out1, tf.add(out2, out3))) as tf.Tensor4D;\n const out4 = depthwiseSeparableConv(in4, denseBlockParams.conv3, [1, 1]);\n\n return tf.relu(tf.add(out1, tf.add(out2, tf.add(out3, out4)))) as tf.Tensor4D;\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams } from './types';\n\nexport function convLayer(\n x: tf.Tensor4D,\n params: ConvParams,\n padding: 'valid' | 'same' = 'same',\n withRelu = false,\n): tf.Tensor4D {\n return tf.tidy(() => {\n const out = tf.add(\n tf.conv2d(x, params.filters, [1, 1], padding),\n params.bias,\n ) as tf.Tensor4D;\n\n return withRelu ? tf.relu(out) : out;\n });\n}\n", "import { ParamMapping } from './types';\n\nexport function disposeUnusedWeightTensors(weightMap: any, paramMappings: ParamMapping[]) {\n Object.keys(weightMap).forEach((path) => {\n if (!paramMappings.some((pm) => pm.originalPath === path)) {\n weightMap[path].dispose();\n }\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams, ExtractWeightsFunction, ParamMapping } from './types';\n\nexport function extractConvParamsFactory(\n extractWeights: ExtractWeightsFunction,\n paramMappings: ParamMapping[],\n) {\n return (\n channelsIn: number,\n channelsOut: number,\n filterSize: number,\n mappedPrefix: string,\n ): ConvParams => {\n const filters = tf.tensor4d(\n extractWeights(channelsIn * channelsOut * filterSize * filterSize),\n [filterSize, filterSize, channelsIn, channelsOut],\n );\n const bias = tf.tensor1d(extractWeights(channelsOut));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/filters` },\n { paramPath: `${mappedPrefix}/bias` },\n );\n\n return { filters, bias };\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ExtractWeightsFunction, FCParams, ParamMapping } from './types';\n\nexport function extractFCParamsFactory(\n extractWeights: ExtractWeightsFunction,\n paramMappings: ParamMapping[],\n) {\n return (\n channelsIn: number,\n channelsOut: number,\n mappedPrefix: string,\n ): FCParams => {\n const fc_weights = tf.tensor2d(extractWeights(channelsIn * channelsOut), [channelsIn, channelsOut]);\n const fc_bias = tf.tensor1d(extractWeights(channelsOut));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/weights` },\n { paramPath: `${mappedPrefix}/bias` },\n );\n\n return {\n weights: fc_weights,\n bias: fc_bias,\n };\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\n// eslint-disable-next-line no-unused-vars\nexport type ExtractWeightsFunction = (numWeights: number) => Float32Array\n\nexport type ParamMapping = {\n originalPath?: string\n paramPath: string\n}\n\nexport type ConvParams = {\n filters: tf.Tensor4D\n bias: tf.Tensor1D\n}\n\nexport type FCParams = {\n weights: tf.Tensor2D\n bias: tf.Tensor1D\n}\n\nexport class SeparableConvParams {\n // eslint-disable-next-line no-useless-constructor\n constructor(\n // eslint-disable-next-line no-unused-vars\n public depthwise_filter: tf.Tensor4D,\n // eslint-disable-next-line no-unused-vars\n public pointwise_filter: tf.Tensor4D,\n // eslint-disable-next-line no-unused-vars\n public bias: tf.Tensor1D,\n // eslint-disable-next-line no-empty-function\n ) {}\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ExtractWeightsFunction, ParamMapping, SeparableConvParams } from './types';\n\nexport function extractSeparableConvParamsFactory(\n extractWeights: ExtractWeightsFunction,\n paramMappings: ParamMapping[],\n) {\n return (channelsIn: number, channelsOut: number, mappedPrefix: string): SeparableConvParams => {\n const depthwise_filter = tf.tensor4d(extractWeights(3 * 3 * channelsIn), [3, 3, channelsIn, 1]);\n const pointwise_filter = tf.tensor4d(extractWeights(channelsIn * channelsOut), [1, 1, channelsIn, channelsOut]);\n const bias = tf.tensor1d(extractWeights(channelsOut));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/depthwise_filter` },\n { paramPath: `${mappedPrefix}/pointwise_filter` },\n { paramPath: `${mappedPrefix}/bias` },\n );\n\n return new SeparableConvParams(\n depthwise_filter,\n pointwise_filter,\n bias,\n );\n };\n}\n\nexport function loadSeparableConvParamsFactory(\n // eslint-disable-next-line no-unused-vars\n extractWeightEntry: (originalPath: string, paramRank: number) => T,\n) {\n return (prefix: string): SeparableConvParams => {\n const depthwise_filter = extractWeightEntry(`${prefix}/depthwise_filter`, 4);\n const pointwise_filter = extractWeightEntry(`${prefix}/pointwise_filter`, 4);\n const bias = extractWeightEntry(`${prefix}/bias`, 1);\n\n return new SeparableConvParams(\n depthwise_filter,\n pointwise_filter,\n bias,\n );\n };\n}\n", "import { isTensor } from '../utils/index';\nimport { ParamMapping } from './types';\n\nexport function extractWeightEntryFactory(weightMap: any, paramMappings: ParamMapping[]) {\n return (originalPath: string, paramRank: number, mappedPath?: string) => {\n const tensor = weightMap[originalPath];\n\n if (!isTensor(tensor, paramRank)) {\n throw new Error(`expected weightMap[${originalPath}] to be a Tensor${paramRank}D, instead have ${tensor}`);\n }\n\n paramMappings.push(\n { originalPath, paramPath: mappedPath || originalPath },\n );\n\n return tensor;\n };\n}\n", "export function extractWeightsFactory(weights: Float32Array) {\n let remainingWeights = weights;\n\n function extractWeights(numWeights: number): Float32Array {\n const ret = remainingWeights.slice(0, numWeights);\n remainingWeights = remainingWeights.slice(numWeights);\n return ret;\n }\n\n function getRemainingWeights(): Float32Array {\n return remainingWeights;\n }\n\n return {\n extractWeights,\n getRemainingWeights,\n };\n}\n", "import { extractConvParamsFactory, extractSeparableConvParamsFactory, ExtractWeightsFunction, ParamMapping } from '../common/index';\nimport { DenseBlock3Params, DenseBlock4Params } from './types';\n\nexport function extractorsFactory(extractWeights: ExtractWeightsFunction, paramMappings: ParamMapping[]) {\n const extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);\n const extractSeparableConvParams = extractSeparableConvParamsFactory(extractWeights, paramMappings);\n\n function extractDenseBlock3Params(channelsIn: number, channelsOut: number, mappedPrefix: string, isFirstLayer = false): DenseBlock3Params {\n const conv0 = isFirstLayer\n ? extractConvParams(channelsIn, channelsOut, 3, `${mappedPrefix}/conv0`)\n : extractSeparableConvParams(channelsIn, channelsOut, `${mappedPrefix}/conv0`);\n const conv1 = extractSeparableConvParams(channelsOut, channelsOut, `${mappedPrefix}/conv1`);\n const conv2 = extractSeparableConvParams(channelsOut, channelsOut, `${mappedPrefix}/conv2`);\n\n return { conv0, conv1, conv2 };\n }\n\n function extractDenseBlock4Params(channelsIn: number, channelsOut: number, mappedPrefix: string, isFirstLayer = false): DenseBlock4Params {\n const { conv0, conv1, conv2 } = extractDenseBlock3Params(channelsIn, channelsOut, mappedPrefix, isFirstLayer);\n const conv3 = extractSeparableConvParams(channelsOut, channelsOut, `${mappedPrefix}/conv3`);\n\n return {\n conv0, conv1, conv2, conv3,\n };\n }\n\n return {\n extractDenseBlock3Params,\n extractDenseBlock4Params,\n };\n}\n", "import { extractWeightsFactory, ParamMapping } from '../common/index';\nimport { extractorsFactory } from './extractorsFactory';\nimport { FaceFeatureExtractorParams } from './types';\n\nexport function extractParams(weights: Float32Array): { params: FaceFeatureExtractorParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n\n const {\n extractDenseBlock4Params,\n } = extractorsFactory(extractWeights, paramMappings);\n\n const dense0 = extractDenseBlock4Params(3, 32, 'dense0', true);\n const dense1 = extractDenseBlock4Params(32, 64, 'dense1');\n const dense2 = extractDenseBlock4Params(64, 128, 'dense2');\n const dense3 = extractDenseBlock4Params(128, 256, 'dense3');\n\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n\n return {\n paramMappings,\n params: {\n dense0, dense1, dense2, dense3,\n },\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams } from './types';\n\n// eslint-disable-next-line no-unused-vars\nexport function loadConvParamsFactory(extractWeightEntry: (originalPath: string, paramRank: number) => T) {\n return (prefix: string): ConvParams => {\n const filters = extractWeightEntry(`${prefix}/filters`, 4);\n const bias = extractWeightEntry(`${prefix}/bias`, 1);\n\n return { filters, bias };\n };\n}\n", "import { extractWeightEntryFactory, loadSeparableConvParamsFactory, ParamMapping } from '../common/index';\nimport { loadConvParamsFactory } from '../common/loadConvParamsFactory';\nimport { DenseBlock3Params, DenseBlock4Params } from './types';\n\nexport function loadParamsFactory(weightMap: any, paramMappings: ParamMapping[]) {\n const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);\n\n const extractConvParams = loadConvParamsFactory(extractWeightEntry);\n const extractSeparableConvParams = loadSeparableConvParamsFactory(extractWeightEntry);\n\n function extractDenseBlock3Params(prefix: string, isFirstLayer = false): DenseBlock3Params {\n const conv0 = isFirstLayer\n ? extractConvParams(`${prefix}/conv0`)\n : extractSeparableConvParams(`${prefix}/conv0`);\n const conv1 = extractSeparableConvParams(`${prefix}/conv1`);\n const conv2 = extractSeparableConvParams(`${prefix}/conv2`);\n\n return { conv0, conv1, conv2 };\n }\n\n function extractDenseBlock4Params(prefix: string, isFirstLayer = false): DenseBlock4Params {\n const conv0 = isFirstLayer\n ? extractConvParams(`${prefix}/conv0`)\n : extractSeparableConvParams(`${prefix}/conv0`);\n const conv1 = extractSeparableConvParams(`${prefix}/conv1`);\n const conv2 = extractSeparableConvParams(`${prefix}/conv2`);\n const conv3 = extractSeparableConvParams(`${prefix}/conv3`);\n\n return {\n conv0, conv1, conv2, conv3,\n };\n }\n\n return {\n extractDenseBlock3Params,\n extractDenseBlock4Params,\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { disposeUnusedWeightTensors, ParamMapping } from '../common/index';\nimport { loadParamsFactory } from './loadParamsFactory';\nimport { FaceFeatureExtractorParams } from './types';\n\nexport function extractParamsFromWeightMap(\n weightMap: tf.NamedTensorMap,\n): { params: FaceFeatureExtractorParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractDenseBlock4Params,\n } = loadParamsFactory(weightMap, paramMappings);\n\n const params = {\n dense0: extractDenseBlock4Params('dense0', true),\n dense1: extractDenseBlock4Params('dense1'),\n dense2: extractDenseBlock4Params('dense2'),\n dense3: extractDenseBlock4Params('dense3'),\n };\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n\n return { params, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { normalize } from '../ops/index';\nimport { denseBlock4 } from './denseBlock';\nimport { extractParams } from './extractParams';\nimport { extractParamsFromWeightMap } from './extractParamsFromWeightMap';\nimport { FaceFeatureExtractorParams, IFaceFeatureExtractor } from './types';\n\nexport class FaceFeatureExtractor extends NeuralNetwork implements IFaceFeatureExtractor {\n constructor() {\n super('FaceFeatureExtractor');\n }\n\n public forwardInput(input: NetInput): tf.Tensor4D {\n const { params } = this;\n\n if (!params) {\n throw new Error('FaceFeatureExtractor - load model before inference');\n }\n\n return tf.tidy(() => {\n const batchTensor = tf.cast(input.toBatchTensor(112, true), 'float32');\n const meanRgb = [122.782, 117.001, 104.298];\n const normalized = normalize(batchTensor, meanRgb).div(255) as tf.Tensor4D;\n\n let out = denseBlock4(normalized, params.dense0, true);\n out = denseBlock4(out, params.dense1);\n out = denseBlock4(out, params.dense2);\n out = denseBlock4(out, params.dense3);\n out = tf.avgPool(out, [7, 7], [2, 2], 'valid');\n\n return out;\n });\n }\n\n public async forward(input: TNetInput): Promise {\n return this.forwardInput(await toNetInput(input));\n }\n\n protected getDefaultModelName(): string {\n return 'face_feature_extractor_model';\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n return extractParamsFromWeightMap(weightMap);\n }\n\n protected extractParams(weights: Float32Array) {\n return extractParams(weights);\n }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { FCParams } from './types';\n\nexport function fullyConnectedLayer(\n x: tf.Tensor2D,\n params: FCParams,\n): tf.Tensor2D {\n return tf.tidy(() => tf.add(\n tf.matMul(x, params.weights),\n params.bias,\n ));\n}\n", "import { extractFCParamsFactory, extractWeightsFactory, ParamMapping } from '../common/index';\nimport { NetParams } from './types';\n\nexport function extractParams(weights: Float32Array, channelsIn: number, channelsOut: number): { params: NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n\n const extractFCParams = extractFCParamsFactory(extractWeights, paramMappings);\n\n const fc = extractFCParams(channelsIn, channelsOut, 'fc');\n\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n\n return {\n paramMappings,\n params: { fc },\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { disposeUnusedWeightTensors, extractWeightEntryFactory, FCParams, ParamMapping } from '../common/index';\nimport { NetParams } from './types';\n\nexport function extractParamsFromWeightMap(\n weightMap: tf.NamedTensorMap,\n): { params: NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);\n\n function extractFcParams(prefix: string): FCParams {\n const weights = extractWeightEntry(`${prefix}/weights`, 2);\n const bias = extractWeightEntry(`${prefix}/bias`, 1);\n return { weights, bias };\n }\n\n const params = {\n fc: extractFcParams('fc'),\n };\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n\n return { params, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nexport function seperateWeightMaps(weightMap: tf.NamedTensorMap) {\n const featureExtractorMap: tf.NamedTensorMap = {};\n const classifierMap: tf.NamedTensorMap = {};\n\n Object.keys(weightMap).forEach((key) => {\n const map = key.startsWith('fc') ? classifierMap : featureExtractorMap;\n map[key] = weightMap[key];\n });\n\n return { featureExtractorMap, classifierMap };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { fullyConnectedLayer } from '../common/fullyConnectedLayer';\nimport { NetInput } from '../dom/index';\nimport { FaceFeatureExtractorParams, IFaceFeatureExtractor, TinyFaceFeatureExtractorParams } from '../faceFeatureExtractor/types';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { extractParams } from './extractParams';\nimport { extractParamsFromWeightMap } from './extractParamsFromWeightMap';\nimport { NetParams } from './types';\nimport { seperateWeightMaps } from './util';\n\nexport abstract class FaceProcessor<\n TExtractorParams extends FaceFeatureExtractorParams | TinyFaceFeatureExtractorParams\n>\n extends NeuralNetwork {\n protected _faceFeatureExtractor: IFaceFeatureExtractor;\n\n constructor(_name: string, faceFeatureExtractor: IFaceFeatureExtractor) {\n super(_name);\n this._faceFeatureExtractor = faceFeatureExtractor;\n }\n\n public get faceFeatureExtractor(): IFaceFeatureExtractor {\n return this._faceFeatureExtractor;\n }\n\n protected abstract override getDefaultModelName(): string\n\n protected abstract getClassifierChannelsIn(): number\n\n protected abstract getClassifierChannelsOut(): number\n\n public runNet(input: NetInput | tf.Tensor4D): tf.Tensor2D {\n const { params } = this;\n\n if (!params) {\n throw new Error(`${this._name} - load model before inference`);\n }\n\n return tf.tidy(() => {\n const bottleneckFeatures = input instanceof NetInput\n ? this.faceFeatureExtractor.forwardInput(input)\n : input;\n return fullyConnectedLayer(bottleneckFeatures.as2D(bottleneckFeatures.shape[0], -1), params.fc);\n });\n }\n\n public override dispose(throwOnRedispose = true) {\n this.faceFeatureExtractor.dispose(throwOnRedispose);\n super.dispose(throwOnRedispose);\n }\n\n public loadClassifierParams(weights: Float32Array) {\n const { params, paramMappings } = this.extractClassifierParams(weights);\n this._params = params;\n this._paramMappings = paramMappings;\n }\n\n public extractClassifierParams(weights: Float32Array) {\n return extractParams(weights, this.getClassifierChannelsIn(), this.getClassifierChannelsOut());\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n const { featureExtractorMap, classifierMap } = seperateWeightMaps(weightMap);\n\n this.faceFeatureExtractor.loadFromWeightMap(featureExtractorMap);\n\n return extractParamsFromWeightMap(classifierMap);\n }\n\n protected extractParams(weights: Float32Array) {\n const cIn = this.getClassifierChannelsIn();\n const cOut = this.getClassifierChannelsOut();\n const classifierWeightSize = (cOut * cIn) + cOut;\n\n const featureExtractorWeights = weights.slice(0, weights.length - classifierWeightSize);\n const classifierWeights = weights.slice(weights.length - classifierWeightSize);\n\n this.faceFeatureExtractor.extractWeights(featureExtractorWeights);\n return this.extractClassifierParams(classifierWeights);\n }\n}\n", "export const FACE_EXPRESSION_LABELS = ['neutral', 'happy', 'sad', 'angry', 'fearful', 'disgusted', 'surprised'];\n\nexport class FaceExpressions {\n public neutral = 0;\n public happy = 0;\n public sad = 0;\n public angry = 0;\n public fearful = 0;\n public disgusted = 0;\n public surprised = 0;\n\n constructor(probabilities: number[] | Float32Array) {\n if (probabilities.length !== 7) {\n throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${probabilities.length}`);\n }\n\n FACE_EXPRESSION_LABELS.forEach((expression, idx) => {\n this[expression] = probabilities[idx];\n });\n }\n\n asSortedArray() {\n return FACE_EXPRESSION_LABELS\n .map((expression) => ({ expression, probability: this[expression] as number }))\n .sort((e0, e1) => e1.probability - e0.probability);\n }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\nimport { FaceFeatureExtractor } from '../faceFeatureExtractor/FaceFeatureExtractor';\nimport { FaceFeatureExtractorParams } from '../faceFeatureExtractor/types';\nimport { FaceProcessor } from '../faceProcessor/FaceProcessor';\nimport { FaceExpressions } from './FaceExpressions';\n\nexport class FaceExpressionNet extends FaceProcessor {\n constructor(faceFeatureExtractor: FaceFeatureExtractor = new FaceFeatureExtractor()) {\n super('FaceExpressionNet', faceFeatureExtractor);\n }\n\n public forwardInput(input: NetInput | tf.Tensor4D): tf.Tensor2D {\n return tf.tidy(() => tf.softmax(this.runNet(input)));\n }\n\n public async forward(input: TNetInput): Promise {\n return this.forwardInput(await toNetInput(input));\n }\n\n public async predictExpressions(input: TNetInput) {\n const netInput = await toNetInput(input);\n const out = await this.forwardInput(netInput);\n const probabilitesByBatch = await Promise.all(tf.unstack(out).map(async (t) => {\n const data = t.dataSync();\n t.dispose();\n return data;\n }));\n out.dispose();\n\n const predictionsByBatch = probabilitesByBatch\n .map((probabilites) => new FaceExpressions(probabilites as Float32Array));\n\n return netInput.isBatchInput\n ? predictionsByBatch\n : predictionsByBatch[0];\n }\n\n protected getDefaultModelName(): string {\n return 'face_expression_model';\n }\n\n protected getClassifierChannelsIn(): number {\n return 256;\n }\n\n protected getClassifierChannelsOut(): number {\n return 7;\n }\n}\n", "import { FaceExpressions } from '../faceExpressionNet/FaceExpressions';\n\nexport type WithFaceExpressions = TSource & { expressions: FaceExpressions }\n\nexport function isWithFaceExpressions(obj: any): obj is WithFaceExpressions<{}> {\n return obj.expressions instanceof FaceExpressions;\n}\n\nexport function extendWithFaceExpressions(sourceObj: TSource, expressions: FaceExpressions): WithFaceExpressions {\n const extension = { expressions };\n return { ...sourceObj, ...extension };\n}\n", "import { IPoint, Point } from '../classes/index';\nimport { FaceExpressions } from '../faceExpressionNet/index';\nimport { isWithFaceDetection } from '../factories/WithFaceDetection';\nimport { isWithFaceExpressions, WithFaceExpressions } from '../factories/WithFaceExpressions';\nimport { round } from '../utils/index';\nimport { DrawTextField } from './DrawTextField';\n\nexport type DrawFaceExpressionsInput = FaceExpressions | WithFaceExpressions<{}>\n\nexport function drawFaceExpressions(canvasArg: string | HTMLCanvasElement, faceExpressions: DrawFaceExpressionsInput | Array, minConfidence = 0.1, textFieldAnchor?: IPoint) {\n const faceExpressionsArray = Array.isArray(faceExpressions) ? faceExpressions : [faceExpressions];\n\n faceExpressionsArray.forEach((e) => {\n // eslint-disable-next-line no-nested-ternary\n const expr = e instanceof FaceExpressions\n ? e\n : (isWithFaceExpressions(e) ? e.expressions : undefined);\n if (!expr) {\n throw new Error('drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof');\n }\n\n const sorted = expr.asSortedArray();\n const resultsToDisplay = sorted.filter((exprLocal) => exprLocal.probability > minConfidence);\n\n const anchor = isWithFaceDetection(e)\n ? e.detection.box.bottomLeft\n : (textFieldAnchor || new Point(0, 0));\n\n const drawTextField = new DrawTextField(\n resultsToDisplay.map((exprLocal) => `${exprLocal.expression} (${round(exprLocal.probability)})`),\n anchor,\n );\n drawTextField.draw(canvasArg);\n });\n}\n", "import { FaceDetection } from '../classes/FaceDetection';\nimport { FaceLandmarks } from '../classes/FaceLandmarks';\nimport { FaceLandmarks68 } from '../classes/FaceLandmarks68';\nimport { isWithFaceDetection, WithFaceDetection } from './WithFaceDetection';\n\nexport type WithFaceLandmarks<\n TSource extends WithFaceDetection<{}>,\n TFaceLandmarks extends FaceLandmarks = FaceLandmarks68 > = TSource & {\n landmarks: TFaceLandmarks,\n unshiftedLandmarks: TFaceLandmarks,\n alignedRect: FaceDetection,\n angle: { roll: number | undefined, pitch: number | undefined, yaw: number | undefined },\n }\n\nexport function isWithFaceLandmarks(obj: any): obj is WithFaceLandmarks, FaceLandmarks> {\n return isWithFaceDetection(obj)\n // eslint-disable-next-line dot-notation\n && obj['landmarks'] instanceof FaceLandmarks\n // eslint-disable-next-line dot-notation\n && obj['unshiftedLandmarks'] instanceof FaceLandmarks\n // eslint-disable-next-line dot-notation\n && obj['alignedRect'] instanceof FaceDetection;\n}\n\nfunction calculateFaceAngle(mesh) {\n // returns the angle in the plane (in radians) between the positive x-axis and the ray from (0,0) to the point (x,y)\n const radians = (a1, a2, b1, b2) => (Math.atan2(b2 - a2, b1 - a1) % Math.PI);\n // convert radians to degrees\n // eslint-disable-next-line no-unused-vars, @typescript-eslint/no-unused-vars\n const degrees = (theta) => (theta * 180) / Math.PI;\n\n const angle = { roll: undefined, pitch: undefined, yaw: undefined };\n\n if (!mesh || !mesh._positions || mesh._positions.length !== 68) return angle;\n const pt = mesh._positions;\n\n // values are in radians in range of -pi/2 to pi/2 which is -90 to +90 degrees\n // value of 0 means center\n\n // roll is face lean from left to right\n // comparing x,y of outside corners of leftEye and rightEye\n angle.roll = -radians(pt[36]._x, pt[36]._y, pt[45]._x, pt[45]._y);\n\n // pitch is face turn from left right\n // comparing x distance of top of nose to left and right edge of face\n // precision is lacking since coordinates are not precise enough\n angle.pitch = radians(0, Math.abs(pt[0]._x - pt[30]._x) / pt[30]._x, Math.PI, Math.abs(pt[16]._x - pt[30]._x) / pt[30]._x);\n\n // yaw is face move from up to down\n // comparing size of the box around the face with top and bottom of detected landmarks\n // silly hack, but this gives us face compression on y-axis\n // e.g., tilting head up hides the forehead that doesn't have any landmarks so ratio drops\n const bottom = pt.reduce((prev, cur) => (prev < cur._y ? prev : cur._y), +Infinity);\n const top = pt.reduce((prev, cur) => (prev > cur._y ? prev : cur._y), -Infinity);\n angle.yaw = Math.PI * (mesh._imgDims._height / (top - bottom) / 1.40 - 1);\n\n return angle;\n}\n\nexport function extendWithFaceLandmarks, TFaceLandmarks extends FaceLandmarks = FaceLandmarks68 >(sourceObj: TSource, unshiftedLandmarks: TFaceLandmarks): WithFaceLandmarks {\n const { box: shift } = sourceObj.detection;\n const landmarks = unshiftedLandmarks.shiftBy(shift.x, shift.y);\n const rect = landmarks.align();\n const { imageDims } = sourceObj.detection;\n const alignedRect = new FaceDetection(sourceObj.detection.score, rect.rescale(imageDims.reverse()), imageDims);\n const angle = calculateFaceAngle(unshiftedLandmarks);\n\n const extension = {\n landmarks,\n unshiftedLandmarks,\n alignedRect,\n angle,\n };\n\n return { ...sourceObj, ...extension };\n}\n", "/* eslint-disable max-classes-per-file */\nimport { IPoint } from '../classes/index';\nimport { FaceLandmarks } from '../classes/FaceLandmarks';\nimport { FaceLandmarks68 } from '../classes/FaceLandmarks68';\nimport { getContext2dOrThrow } from '../dom/getContext2dOrThrow';\nimport { WithFaceDetection } from '../factories/WithFaceDetection';\nimport { isWithFaceLandmarks, WithFaceLandmarks } from '../factories/WithFaceLandmarks';\nimport { drawContour } from './drawContour';\n\nexport interface IDrawFaceLandmarksOptions {\n drawLines?: boolean\n drawPoints?: boolean\n lineWidth?: number\n pointSize?: number\n lineColor?: string\n pointColor?: string\n}\n\nexport class DrawFaceLandmarksOptions {\n public drawLines: boolean;\n\n public drawPoints: boolean;\n\n public lineWidth: number;\n\n public pointSize: number;\n\n public lineColor: string;\n\n public pointColor: string;\n\n constructor(options: IDrawFaceLandmarksOptions = {}) {\n const {\n drawLines = true, drawPoints = true, lineWidth, lineColor, pointSize, pointColor,\n } = options;\n this.drawLines = drawLines;\n this.drawPoints = drawPoints;\n this.lineWidth = lineWidth || 1;\n this.pointSize = pointSize || 2;\n this.lineColor = lineColor || 'rgba(0, 255, 255, 1)';\n this.pointColor = pointColor || 'rgba(255, 0, 255, 1)';\n }\n}\n\nexport class DrawFaceLandmarks {\n public faceLandmarks: FaceLandmarks;\n\n public options: DrawFaceLandmarksOptions;\n\n constructor(\n faceLandmarks: FaceLandmarks,\n options: IDrawFaceLandmarksOptions = {},\n ) {\n this.faceLandmarks = faceLandmarks;\n this.options = new DrawFaceLandmarksOptions(options);\n }\n\n draw(canvasArg: string | HTMLCanvasElement | CanvasRenderingContext2D) {\n const ctx = getContext2dOrThrow(canvasArg);\n\n const {\n drawLines, drawPoints, lineWidth, lineColor, pointSize, pointColor,\n } = this.options;\n\n if (drawLines && this.faceLandmarks instanceof FaceLandmarks68) {\n ctx.strokeStyle = lineColor;\n ctx.lineWidth = lineWidth;\n drawContour(ctx, this.faceLandmarks.getJawOutline());\n drawContour(ctx, this.faceLandmarks.getLeftEyeBrow());\n drawContour(ctx, this.faceLandmarks.getRightEyeBrow());\n drawContour(ctx, this.faceLandmarks.getNose());\n drawContour(ctx, this.faceLandmarks.getLeftEye(), true);\n drawContour(ctx, this.faceLandmarks.getRightEye(), true);\n drawContour(ctx, this.faceLandmarks.getMouth(), true);\n }\n\n if (drawPoints) {\n ctx.strokeStyle = pointColor;\n ctx.fillStyle = pointColor;\n\n const drawPoint = (pt: IPoint) => {\n ctx.beginPath();\n ctx.arc(pt.x, pt.y, pointSize, 0, 2 * Math.PI);\n ctx.fill();\n };\n this.faceLandmarks.positions.forEach(drawPoint);\n }\n }\n}\n\nexport type DrawFaceLandmarksInput = FaceLandmarks | WithFaceLandmarks>\n\nexport function drawFaceLandmarks(\n canvasArg: string | HTMLCanvasElement,\n faceLandmarks: DrawFaceLandmarksInput | Array,\n) {\n const faceLandmarksArray = Array.isArray(faceLandmarks) ? faceLandmarks : [faceLandmarks];\n faceLandmarksArray.forEach((f) => {\n // eslint-disable-next-line no-nested-ternary\n const landmarks = f instanceof FaceLandmarks\n ? f\n : (isWithFaceLandmarks(f) ? f.landmarks : undefined);\n if (!landmarks) {\n throw new Error('drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks> or array thereof');\n }\n\n new DrawFaceLandmarks(landmarks).draw(canvasArg);\n });\n}\n", "import { extractConvParamsFactory, extractSeparableConvParamsFactory, extractWeightsFactory } from '../common/index';\nimport { ExtractWeightsFunction, ParamMapping } from '../common/types';\nimport { range } from '../utils/index';\nimport { MainBlockParams, ReductionBlockParams, TinyXceptionParams } from './types';\n\nfunction extractorsFactory(extractWeights: ExtractWeightsFunction, paramMappings: ParamMapping[]) {\n const extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);\n const extractSeparableConvParams = extractSeparableConvParamsFactory(extractWeights, paramMappings);\n\n function extractReductionBlockParams(channelsIn: number, channelsOut: number, mappedPrefix: string): ReductionBlockParams {\n const separable_conv0 = extractSeparableConvParams(channelsIn, channelsOut, `${mappedPrefix}/separable_conv0`);\n const separable_conv1 = extractSeparableConvParams(channelsOut, channelsOut, `${mappedPrefix}/separable_conv1`);\n const expansion_conv = extractConvParams(channelsIn, channelsOut, 1, `${mappedPrefix}/expansion_conv`);\n\n return { separable_conv0, separable_conv1, expansion_conv };\n }\n\n function extractMainBlockParams(channels: number, mappedPrefix: string): MainBlockParams {\n const separable_conv0 = extractSeparableConvParams(channels, channels, `${mappedPrefix}/separable_conv0`);\n const separable_conv1 = extractSeparableConvParams(channels, channels, `${mappedPrefix}/separable_conv1`);\n const separable_conv2 = extractSeparableConvParams(channels, channels, `${mappedPrefix}/separable_conv2`);\n\n return { separable_conv0, separable_conv1, separable_conv2 };\n }\n\n return {\n extractConvParams,\n extractSeparableConvParams,\n extractReductionBlockParams,\n extractMainBlockParams,\n };\n}\n\nexport function extractParams(weights: Float32Array, numMainBlocks: number): { params: TinyXceptionParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n\n const {\n extractConvParams,\n extractSeparableConvParams,\n extractReductionBlockParams,\n extractMainBlockParams,\n } = extractorsFactory(extractWeights, paramMappings);\n\n const entry_flow_conv_in = extractConvParams(3, 32, 3, 'entry_flow/conv_in');\n const entry_flow_reduction_block_0 = extractReductionBlockParams(32, 64, 'entry_flow/reduction_block_0');\n const entry_flow_reduction_block_1 = extractReductionBlockParams(64, 128, 'entry_flow/reduction_block_1');\n\n const entry_flow = {\n conv_in: entry_flow_conv_in,\n reduction_block_0: entry_flow_reduction_block_0,\n reduction_block_1: entry_flow_reduction_block_1,\n };\n\n const middle_flow = {};\n range(numMainBlocks, 0, 1).forEach((idx) => {\n middle_flow[`main_block_${idx}`] = extractMainBlockParams(128, `middle_flow/main_block_${idx}`);\n });\n\n const exit_flow_reduction_block = extractReductionBlockParams(128, 256, 'exit_flow/reduction_block');\n const exit_flow_separable_conv = extractSeparableConvParams(256, 512, 'exit_flow/separable_conv');\n\n const exit_flow = {\n reduction_block: exit_flow_reduction_block,\n separable_conv: exit_flow_separable_conv,\n };\n\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n\n return {\n paramMappings,\n params: { entry_flow, middle_flow, exit_flow },\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { disposeUnusedWeightTensors, extractWeightEntryFactory, loadSeparableConvParamsFactory, ParamMapping } from '../common/index';\nimport { loadConvParamsFactory } from '../common/loadConvParamsFactory';\nimport { range } from '../utils/index';\nimport { MainBlockParams, ReductionBlockParams, TinyXceptionParams } from './types';\n\nfunction loadParamsFactory(weightMap: any, paramMappings: ParamMapping[]) {\n const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);\n\n const extractConvParams = loadConvParamsFactory(extractWeightEntry);\n const extractSeparableConvParams = loadSeparableConvParamsFactory(extractWeightEntry);\n\n function extractReductionBlockParams(mappedPrefix: string): ReductionBlockParams {\n const separable_conv0 = extractSeparableConvParams(`${mappedPrefix}/separable_conv0`);\n const separable_conv1 = extractSeparableConvParams(`${mappedPrefix}/separable_conv1`);\n const expansion_conv = extractConvParams(`${mappedPrefix}/expansion_conv`);\n\n return { separable_conv0, separable_conv1, expansion_conv };\n }\n\n function extractMainBlockParams(mappedPrefix: string): MainBlockParams {\n const separable_conv0 = extractSeparableConvParams(`${mappedPrefix}/separable_conv0`);\n const separable_conv1 = extractSeparableConvParams(`${mappedPrefix}/separable_conv1`);\n const separable_conv2 = extractSeparableConvParams(`${mappedPrefix}/separable_conv2`);\n\n return { separable_conv0, separable_conv1, separable_conv2 };\n }\n\n return {\n extractConvParams,\n extractSeparableConvParams,\n extractReductionBlockParams,\n extractMainBlockParams,\n };\n}\n\nexport function extractParamsFromWeightMap(\n weightMap: tf.NamedTensorMap,\n numMainBlocks: number,\n): { params: TinyXceptionParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractConvParams,\n extractSeparableConvParams,\n extractReductionBlockParams,\n extractMainBlockParams,\n } = loadParamsFactory(weightMap, paramMappings);\n\n const entry_flow_conv_in = extractConvParams('entry_flow/conv_in');\n const entry_flow_reduction_block_0 = extractReductionBlockParams('entry_flow/reduction_block_0');\n const entry_flow_reduction_block_1 = extractReductionBlockParams('entry_flow/reduction_block_1');\n\n const entry_flow = {\n conv_in: entry_flow_conv_in,\n reduction_block_0: entry_flow_reduction_block_0,\n reduction_block_1: entry_flow_reduction_block_1,\n };\n\n const middle_flow = {};\n range(numMainBlocks, 0, 1).forEach((idx) => {\n middle_flow[`main_block_${idx}`] = extractMainBlockParams(`middle_flow/main_block_${idx}`);\n });\n\n const exit_flow_reduction_block = extractReductionBlockParams('exit_flow/reduction_block');\n const exit_flow_separable_conv = extractSeparableConvParams('exit_flow/separable_conv');\n\n const exit_flow = {\n reduction_block: exit_flow_reduction_block,\n separable_conv: exit_flow_separable_conv,\n };\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n\n return { params: { entry_flow, middle_flow, exit_flow }, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams, depthwiseSeparableConv } from '../common/index';\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { normalize } from '../ops/index';\nimport { range } from '../utils/index';\nimport { extractParams } from './extractParams';\nimport { extractParamsFromWeightMap } from './extractParamsFromWeightMap';\nimport { MainBlockParams, ReductionBlockParams, TinyXceptionParams } from './types';\n\nfunction conv(x: tf.Tensor4D, params: ConvParams, stride: [number, number]): tf.Tensor4D {\n return tf.add(tf.conv2d(x, params.filters, stride, 'same'), params.bias);\n}\n\nfunction reductionBlock(x: tf.Tensor4D, params: ReductionBlockParams, isActivateInput = true): tf.Tensor4D {\n let out = isActivateInput ? tf.relu(x) : x;\n out = depthwiseSeparableConv(out, params.separable_conv0, [1, 1]);\n out = depthwiseSeparableConv(tf.relu(out), params.separable_conv1, [1, 1]);\n out = tf.maxPool(out, [3, 3], [2, 2], 'same');\n out = tf.add(out, conv(x, params.expansion_conv, [2, 2]));\n return out;\n}\n\nfunction mainBlock(x: tf.Tensor4D, params: MainBlockParams): tf.Tensor4D {\n let out = depthwiseSeparableConv(tf.relu(x), params.separable_conv0, [1, 1]);\n out = depthwiseSeparableConv(tf.relu(out), params.separable_conv1, [1, 1]);\n out = depthwiseSeparableConv(tf.relu(out), params.separable_conv2, [1, 1]);\n out = tf.add(out, x);\n return out;\n}\n\nexport class TinyXception extends NeuralNetwork {\n private _numMainBlocks: number;\n\n constructor(numMainBlocks: number) {\n super('TinyXception');\n this._numMainBlocks = numMainBlocks;\n }\n\n public forwardInput(input: NetInput): tf.Tensor4D {\n const { params } = this;\n if (!params) {\n throw new Error('TinyXception - load model before inference');\n }\n return tf.tidy(() => {\n const batchTensor = tf.cast(input.toBatchTensor(112, true), 'float32');\n const meanRgb = [122.782, 117.001, 104.298];\n const normalized = normalize(batchTensor, meanRgb).div(255) as tf.Tensor4D;\n let out = tf.relu(conv(normalized, params.entry_flow.conv_in, [2, 2]));\n out = reductionBlock(out, params.entry_flow.reduction_block_0, false);\n out = reductionBlock(out, params.entry_flow.reduction_block_1);\n range(this._numMainBlocks, 0, 1).forEach((idx) => {\n out = mainBlock(out, params.middle_flow[`main_block_${idx}`]);\n });\n out = reductionBlock(out, params.exit_flow.reduction_block);\n out = tf.relu(depthwiseSeparableConv(out, params.exit_flow.separable_conv, [1, 1]));\n return out;\n });\n }\n\n public async forward(input: TNetInput): Promise {\n return this.forwardInput(await toNetInput(input));\n }\n\n protected getDefaultModelName(): string {\n return 'tiny_xception_model';\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n return extractParamsFromWeightMap(weightMap, this._numMainBlocks);\n }\n\n protected extractParams(weights: Float32Array) {\n return extractParams(weights, this._numMainBlocks);\n }\n}\n", "import { extractFCParamsFactory, extractWeightsFactory, ParamMapping } from '../common/index';\nimport { NetParams } from './types';\n\nexport function extractParams(weights: Float32Array): { params: NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n\n const extractFCParams = extractFCParamsFactory(extractWeights, paramMappings);\n\n const age = extractFCParams(512, 1, 'fc/age');\n const gender = extractFCParams(512, 2, 'fc/gender');\n\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n\n return {\n paramMappings,\n params: { fc: { age, gender } },\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { disposeUnusedWeightTensors, extractWeightEntryFactory, FCParams, ParamMapping } from '../common/index';\nimport { NetParams } from './types';\n\nexport function extractParamsFromWeightMap(\n weightMap: tf.NamedTensorMap,\n): { params: NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);\n\n function extractFcParams(prefix: string): FCParams {\n const weights = extractWeightEntry(`${prefix}/weights`, 2);\n const bias = extractWeightEntry(`${prefix}/bias`, 1);\n return { weights, bias };\n }\n\n const params = {\n fc: {\n age: extractFcParams('fc/age'),\n gender: extractFcParams('fc/gender'),\n },\n };\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n\n return { params, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { FCParams } from '../common/index';\n\n// eslint-disable-next-line no-shadow\nexport enum Gender {\n // eslint-disable-next-line no-unused-vars\n FEMALE = 'female',\n // eslint-disable-next-line no-unused-vars\n MALE = 'male'\n}\n\nexport type AgeAndGenderPrediction = {\n age: number\n gender: Gender\n genderProbability: number\n}\n\nexport type NetOutput = { age: tf.Tensor1D, gender: tf.Tensor2D }\n\nexport type NetParams = {\n fc: {\n age: FCParams\n gender: FCParams\n }\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport { fullyConnectedLayer } from '../common/fullyConnectedLayer';\nimport { seperateWeightMaps } from '../faceProcessor/util';\nimport { TinyXception } from '../xception/TinyXception';\nimport { extractParams } from './extractParams';\nimport { extractParamsFromWeightMap } from './extractParamsFromWeightMap';\nimport { AgeAndGenderPrediction, Gender, NetOutput, NetParams } from './types';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\n\nexport class AgeGenderNet extends NeuralNetwork {\n private _faceFeatureExtractor: TinyXception;\n\n constructor(faceFeatureExtractor: TinyXception = new TinyXception(2)) {\n super('AgeGenderNet');\n this._faceFeatureExtractor = faceFeatureExtractor;\n }\n\n public get faceFeatureExtractor(): TinyXception {\n return this._faceFeatureExtractor;\n }\n\n public runNet(input: NetInput | tf.Tensor4D): NetOutput {\n const { params } = this;\n\n if (!params) {\n throw new Error(`${this._name} - load model before inference`);\n }\n\n return tf.tidy(() => {\n const bottleneckFeatures = input instanceof NetInput\n ? this.faceFeatureExtractor.forwardInput(input)\n : input;\n\n const pooled = tf.avgPool(bottleneckFeatures, [7, 7], [2, 2], 'valid').as2D(bottleneckFeatures.shape[0], -1);\n const age = fullyConnectedLayer(pooled, params.fc.age).as1D();\n const gender = fullyConnectedLayer(pooled, params.fc.gender);\n return { age, gender };\n });\n }\n\n public forwardInput(input: NetInput | tf.Tensor4D): NetOutput {\n return tf.tidy(() => {\n const { age, gender } = this.runNet(input);\n return { age, gender: tf.softmax(gender) };\n });\n }\n\n public async forward(input: TNetInput): Promise {\n return this.forwardInput(await toNetInput(input));\n }\n\n public async predictAgeAndGender(input: TNetInput): Promise {\n const netInput = await toNetInput(input);\n const out = await this.forwardInput(netInput);\n\n const ages = tf.unstack(out.age);\n const genders = tf.unstack(out.gender);\n const ageAndGenderTensors = ages.map((ageTensor, i) => ({\n ageTensor,\n genderTensor: genders[i],\n }));\n\n const predictionsByBatch = await Promise.all(\n ageAndGenderTensors.map(async ({ ageTensor, genderTensor }) => {\n const age = (ageTensor.dataSync())[0];\n const probMale = (genderTensor.dataSync())[0];\n const isMale = probMale > 0.5;\n const gender = isMale ? Gender.MALE : Gender.FEMALE;\n const genderProbability = isMale ? probMale : (1 - probMale);\n\n ageTensor.dispose();\n genderTensor.dispose();\n return { age, gender, genderProbability };\n }),\n );\n out.age.dispose();\n out.gender.dispose();\n\n return netInput.isBatchInput ? predictionsByBatch as AgeAndGenderPrediction[] : predictionsByBatch[0] as AgeAndGenderPrediction;\n }\n\n protected getDefaultModelName(): string {\n return 'age_gender_model';\n }\n\n public override dispose(throwOnRedispose = true) {\n this.faceFeatureExtractor.dispose(throwOnRedispose);\n super.dispose(throwOnRedispose);\n }\n\n public loadClassifierParams(weights: Float32Array) {\n const { params, paramMappings } = this.extractClassifierParams(weights);\n this._params = params;\n this._paramMappings = paramMappings;\n }\n\n public extractClassifierParams(weights: Float32Array) {\n return extractParams(weights);\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n const { featureExtractorMap, classifierMap } = seperateWeightMaps(weightMap);\n\n this.faceFeatureExtractor.loadFromWeightMap(featureExtractorMap);\n\n return extractParamsFromWeightMap(classifierMap);\n }\n\n protected extractParams(weights: Float32Array) {\n const classifierWeightSize = (512 * 1 + 1) + (512 * 2 + 2);\n\n const featureExtractorWeights = weights.slice(0, weights.length - classifierWeightSize);\n const classifierWeights = weights.slice(weights.length - classifierWeightSize);\n\n this.faceFeatureExtractor.extractWeights(featureExtractorWeights);\n return this.extractClassifierParams(classifierWeights);\n }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { IDimensions, Point } from '../classes/index';\nimport { FaceLandmarks68 } from '../classes/FaceLandmarks68';\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\nimport { FaceFeatureExtractorParams, TinyFaceFeatureExtractorParams } from '../faceFeatureExtractor/types';\nimport { FaceProcessor } from '../faceProcessor/FaceProcessor';\nimport { isEven } from '../utils/index';\n\nexport abstract class FaceLandmark68NetBase<\n TExtractorParams extends FaceFeatureExtractorParams | TinyFaceFeatureExtractorParams\n>\n extends FaceProcessor {\n public postProcess(output: tf.Tensor2D, inputSize: number, originalDimensions: IDimensions[]): tf.Tensor2D {\n const inputDimensions = originalDimensions.map(({ width, height }) => {\n const scale = inputSize / Math.max(height, width);\n return {\n width: width * scale,\n height: height * scale,\n };\n });\n\n const batchSize = inputDimensions.length;\n\n return tf.tidy(() => {\n const createInterleavedTensor = (fillX: number, fillY: number) => tf.stack([tf.fill([68], fillX, 'float32'), tf.fill([68], fillY, 'float32')], 1).as2D(1, 136).as1D();\n\n // eslint-disable-next-line no-unused-vars\n const getPadding = (batchIdx: number, cond: (w: number, h: number) => boolean): number => {\n const { width, height } = inputDimensions[batchIdx];\n return cond(width, height) ? Math.abs(width - height) / 2 : 0;\n };\n\n const getPaddingX = (batchIdx: number) => getPadding(batchIdx, (w, h) => w < h);\n const getPaddingY = (batchIdx: number) => getPadding(batchIdx, (w, h) => h < w);\n\n const landmarkTensors = output\n .mul(tf.fill([batchSize, 136], inputSize, 'float32'))\n .sub(tf.stack(Array.from(Array(batchSize), (_, batchIdx) => createInterleavedTensor(\n getPaddingX(batchIdx),\n getPaddingY(batchIdx),\n ))))\n .div(tf.stack(Array.from(Array(batchSize), (_, batchIdx) => createInterleavedTensor(\n inputDimensions[batchIdx].width,\n inputDimensions[batchIdx].height,\n ))));\n\n return landmarkTensors as tf.Tensor2D;\n });\n }\n\n public forwardInput(input: NetInput): tf.Tensor2D {\n return tf.tidy(() => {\n const out = this.runNet(input);\n return this.postProcess(\n out,\n input.inputSize as number,\n input.inputDimensions.map(([height, width]) => ({ height, width })),\n );\n });\n }\n\n public async forward(input: TNetInput): Promise {\n return this.forwardInput(await toNetInput(input));\n }\n\n public async detectLandmarks(input: TNetInput): Promise {\n const netInput = await toNetInput(input);\n const landmarkTensors = tf.tidy(\n () => tf.unstack(this.forwardInput(netInput)),\n );\n\n const landmarksForBatch = await Promise.all(landmarkTensors.map(\n async (landmarkTensor, batchIdx) => {\n const landmarksArray = Array.from(landmarkTensor.dataSync());\n const xCoords = landmarksArray.filter((_, i) => isEven(i));\n const yCoords = landmarksArray.filter((_, i) => !isEven(i));\n\n return new FaceLandmarks68(\n Array(68).fill(0).map((_, i) => new Point(xCoords[i] as number, yCoords[i] as number)),\n {\n height: netInput.getInputHeight(batchIdx),\n width: netInput.getInputWidth(batchIdx),\n },\n );\n },\n ));\n\n landmarkTensors.forEach((t) => t.dispose());\n\n return netInput.isBatchInput ? landmarksForBatch as FaceLandmarks68[] : landmarksForBatch[0] as FaceLandmarks68;\n }\n\n protected getClassifierChannelsOut(): number {\n return 136;\n }\n}\n", "import { FaceFeatureExtractor } from '../faceFeatureExtractor/FaceFeatureExtractor';\nimport { FaceFeatureExtractorParams } from '../faceFeatureExtractor/types';\nimport { FaceLandmark68NetBase } from './FaceLandmark68NetBase';\n\nexport class FaceLandmark68Net extends FaceLandmark68NetBase {\n constructor(faceFeatureExtractor: FaceFeatureExtractor = new FaceFeatureExtractor()) {\n super('FaceLandmark68Net', faceFeatureExtractor);\n }\n\n protected getDefaultModelName(): string {\n return 'face_landmark_68_model';\n }\n\n protected getClassifierChannelsIn(): number {\n return 256;\n }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { disposeUnusedWeightTensors, ParamMapping } from '../common/index';\nimport { loadParamsFactory } from './loadParamsFactory';\nimport { TinyFaceFeatureExtractorParams } from './types';\n\nexport function extractParamsFromWeightMapTiny(\n weightMap: tf.NamedTensorMap,\n): { params: TinyFaceFeatureExtractorParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractDenseBlock3Params,\n } = loadParamsFactory(weightMap, paramMappings);\n\n const params = {\n dense0: extractDenseBlock3Params('dense0', true),\n dense1: extractDenseBlock3Params('dense1'),\n dense2: extractDenseBlock3Params('dense2'),\n };\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n\n return { params, paramMappings };\n}\n", "import { extractWeightsFactory, ParamMapping } from '../common/index';\nimport { extractorsFactory } from './extractorsFactory';\nimport { TinyFaceFeatureExtractorParams } from './types';\n\nexport function extractParamsTiny(weights: Float32Array): { params: TinyFaceFeatureExtractorParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n\n const {\n extractDenseBlock3Params,\n } = extractorsFactory(extractWeights, paramMappings);\n\n const dense0 = extractDenseBlock3Params(3, 32, 'dense0', true);\n const dense1 = extractDenseBlock3Params(32, 64, 'dense1');\n const dense2 = extractDenseBlock3Params(64, 128, 'dense2');\n\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n\n return {\n paramMappings,\n params: { dense0, dense1, dense2 },\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { normalize } from '../ops/index';\nimport { denseBlock3 } from './denseBlock';\nimport { extractParamsFromWeightMapTiny } from './extractParamsFromWeightMapTiny';\nimport { extractParamsTiny } from './extractParamsTiny';\nimport { IFaceFeatureExtractor, TinyFaceFeatureExtractorParams } from './types';\n\nexport class TinyFaceFeatureExtractor extends NeuralNetwork implements IFaceFeatureExtractor {\n constructor() {\n super('TinyFaceFeatureExtractor');\n }\n\n public forwardInput(input: NetInput): tf.Tensor4D {\n const { params } = this;\n\n if (!params) {\n throw new Error('TinyFaceFeatureExtractor - load model before inference');\n }\n\n return tf.tidy(() => {\n const batchTensor = tf.cast(input.toBatchTensor(112, true), 'float32');\n const meanRgb = [122.782, 117.001, 104.298];\n const normalized = normalize(batchTensor, meanRgb).div(255) as tf.Tensor4D;\n\n let out = denseBlock3(normalized, params.dense0, true);\n out = denseBlock3(out, params.dense1);\n out = denseBlock3(out, params.dense2);\n out = tf.avgPool(out, [14, 14], [2, 2], 'valid');\n\n return out;\n });\n }\n\n public async forward(input: TNetInput): Promise {\n return this.forwardInput(await toNetInput(input));\n }\n\n protected getDefaultModelName(): string {\n return 'face_feature_extractor_tiny_model';\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n return extractParamsFromWeightMapTiny(weightMap);\n }\n\n protected extractParams(weights: Float32Array) {\n return extractParamsTiny(weights);\n }\n}\n", "import { TinyFaceFeatureExtractor } from '../faceFeatureExtractor/TinyFaceFeatureExtractor';\nimport { TinyFaceFeatureExtractorParams } from '../faceFeatureExtractor/types';\nimport { FaceLandmark68NetBase } from './FaceLandmark68NetBase';\n\nexport class FaceLandmark68TinyNet extends FaceLandmark68NetBase {\n constructor(faceFeatureExtractor: TinyFaceFeatureExtractor = new TinyFaceFeatureExtractor()) {\n super('FaceLandmark68TinyNet', faceFeatureExtractor);\n }\n\n protected getDefaultModelName(): string {\n return 'face_landmark_68_tiny_model';\n }\n\n protected getClassifierChannelsIn(): number {\n return 128;\n }\n}\n", "import { FaceLandmark68Net } from './FaceLandmark68Net';\n\nexport * from './FaceLandmark68Net';\nexport * from './FaceLandmark68TinyNet';\nexport class FaceLandmarkNet extends FaceLandmark68Net {}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ScaleLayerParams } from './types';\n\nexport function scale(x: tf.Tensor4D, params: ScaleLayerParams): tf.Tensor4D {\n return tf.add(tf.mul(x, params.weights), params.biases);\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { scale } from './scaleLayer';\nimport { ConvLayerParams } from './types';\n\nfunction convLayer(\n x: tf.Tensor4D,\n params: ConvLayerParams,\n strides: [number, number],\n withRelu: boolean,\n padding: 'valid' | 'same' = 'same',\n): tf.Tensor4D {\n const { filters, bias } = params.conv;\n\n let out = tf.conv2d(x, filters, strides, padding);\n out = tf.add(out, bias);\n out = scale(out, params.scale);\n return withRelu ? tf.relu(out) : out;\n}\n\nexport function conv(x: tf.Tensor4D, params: ConvLayerParams) {\n return convLayer(x, params, [1, 1], true);\n}\n\nexport function convNoRelu(x: tf.Tensor4D, params: ConvLayerParams) {\n return convLayer(x, params, [1, 1], false);\n}\n\nexport function convDown(x: tf.Tensor4D, params: ConvLayerParams) {\n return convLayer(x, params, [2, 2], true, 'valid');\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams, extractWeightsFactory, ExtractWeightsFunction, ParamMapping } from '../common/index';\nimport { isFloat } from '../utils/index';\nimport { ConvLayerParams, NetParams, ResidualLayerParams, ScaleLayerParams } from './types';\n\nfunction extractorsFactory(extractWeights: ExtractWeightsFunction, paramMappings: ParamMapping[]) {\n function extractFilterValues(numFilterValues: number, numFilters: number, filterSize: number): tf.Tensor4D {\n const weights = extractWeights(numFilterValues);\n const depth = weights.length / (numFilters * filterSize * filterSize);\n\n if (isFloat(depth)) {\n throw new Error(`depth has to be an integer: ${depth}, weights.length: ${weights.length}, numFilters: ${numFilters}, filterSize: ${filterSize}`);\n }\n\n return tf.tidy(\n () => tf.transpose(\n tf.tensor4d(weights, [numFilters, depth, filterSize, filterSize]),\n [2, 3, 1, 0],\n ),\n );\n }\n\n function extractConvParams(\n numFilterValues: number,\n numFilters: number,\n filterSize: number,\n mappedPrefix: string,\n ): ConvParams {\n const filters = extractFilterValues(numFilterValues, numFilters, filterSize);\n const bias = tf.tensor1d(extractWeights(numFilters));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/filters` },\n { paramPath: `${mappedPrefix}/bias` },\n );\n\n return { filters, bias };\n }\n\n function extractScaleLayerParams(numWeights: number, mappedPrefix: string): ScaleLayerParams {\n const weights = tf.tensor1d(extractWeights(numWeights));\n const biases = tf.tensor1d(extractWeights(numWeights));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/weights` },\n { paramPath: `${mappedPrefix}/biases` },\n );\n\n return {\n weights,\n biases,\n };\n }\n\n function extractConvLayerParams(\n numFilterValues: number,\n numFilters: number,\n filterSize: number,\n mappedPrefix: string,\n ): ConvLayerParams {\n const conv = extractConvParams(numFilterValues, numFilters, filterSize, `${mappedPrefix}/conv`);\n const scale = extractScaleLayerParams(numFilters, `${mappedPrefix}/scale`);\n\n return { conv, scale };\n }\n\n function extractResidualLayerParams(\n numFilterValues: number,\n numFilters: number,\n filterSize: number,\n mappedPrefix: string,\n isDown = false,\n ): ResidualLayerParams {\n const conv1 = extractConvLayerParams((isDown ? 0.5 : 1) * numFilterValues, numFilters, filterSize, `${mappedPrefix}/conv1`);\n const conv2 = extractConvLayerParams(numFilterValues, numFilters, filterSize, `${mappedPrefix}/conv2`);\n\n return { conv1, conv2 };\n }\n\n return {\n extractConvLayerParams,\n extractResidualLayerParams,\n };\n}\n\nexport function extractParams(weights: Float32Array): { params: NetParams, paramMappings: ParamMapping[] } {\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractConvLayerParams,\n extractResidualLayerParams,\n } = extractorsFactory(extractWeights, paramMappings);\n\n const conv32_down = extractConvLayerParams(4704, 32, 7, 'conv32_down');\n const conv32_1 = extractResidualLayerParams(9216, 32, 3, 'conv32_1');\n const conv32_2 = extractResidualLayerParams(9216, 32, 3, 'conv32_2');\n const conv32_3 = extractResidualLayerParams(9216, 32, 3, 'conv32_3');\n\n const conv64_down = extractResidualLayerParams(36864, 64, 3, 'conv64_down', true);\n const conv64_1 = extractResidualLayerParams(36864, 64, 3, 'conv64_1');\n const conv64_2 = extractResidualLayerParams(36864, 64, 3, 'conv64_2');\n const conv64_3 = extractResidualLayerParams(36864, 64, 3, 'conv64_3');\n\n const conv128_down = extractResidualLayerParams(147456, 128, 3, 'conv128_down', true);\n const conv128_1 = extractResidualLayerParams(147456, 128, 3, 'conv128_1');\n const conv128_2 = extractResidualLayerParams(147456, 128, 3, 'conv128_2');\n\n const conv256_down = extractResidualLayerParams(589824, 256, 3, 'conv256_down', true);\n const conv256_1 = extractResidualLayerParams(589824, 256, 3, 'conv256_1');\n const conv256_2 = extractResidualLayerParams(589824, 256, 3, 'conv256_2');\n const conv256_down_out = extractResidualLayerParams(589824, 256, 3, 'conv256_down_out');\n\n const fc = tf.tidy(\n () => tf.transpose(tf.tensor2d(extractWeights(256 * 128), [128, 256]), [1, 0]),\n );\n paramMappings.push({ paramPath: 'fc' });\n\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n\n const params = {\n conv32_down,\n conv32_1,\n conv32_2,\n conv32_3,\n conv64_down,\n conv64_1,\n conv64_2,\n conv64_3,\n conv128_down,\n conv128_1,\n conv128_2,\n conv256_down,\n conv256_1,\n conv256_2,\n conv256_down_out,\n fc,\n };\n\n return { params, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { disposeUnusedWeightTensors, extractWeightEntryFactory, ParamMapping } from '../common/index';\nimport { isTensor2D } from '../utils/index';\nimport { ConvLayerParams, NetParams, ResidualLayerParams, ScaleLayerParams } from './types';\n\nfunction extractorsFactory(weightMap: any, paramMappings: ParamMapping[]) {\n const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);\n\n function extractScaleLayerParams(prefix: string): ScaleLayerParams {\n const weights = extractWeightEntry(`${prefix}/scale/weights`, 1);\n const biases = extractWeightEntry(`${prefix}/scale/biases`, 1);\n\n return { weights, biases };\n }\n\n function extractConvLayerParams(prefix: string): ConvLayerParams {\n const filters = extractWeightEntry(`${prefix}/conv/filters`, 4);\n const bias = extractWeightEntry(`${prefix}/conv/bias`, 1);\n const scale = extractScaleLayerParams(prefix);\n\n return { conv: { filters, bias }, scale };\n }\n\n function extractResidualLayerParams(prefix: string): ResidualLayerParams {\n return {\n conv1: extractConvLayerParams(`${prefix}/conv1`),\n conv2: extractConvLayerParams(`${prefix}/conv2`),\n };\n }\n\n return {\n extractConvLayerParams,\n extractResidualLayerParams,\n };\n}\n\nexport function extractParamsFromWeightMap(\n weightMap: tf.NamedTensorMap,\n): { params: NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractConvLayerParams,\n extractResidualLayerParams,\n } = extractorsFactory(weightMap, paramMappings);\n\n const conv32_down = extractConvLayerParams('conv32_down');\n const conv32_1 = extractResidualLayerParams('conv32_1');\n const conv32_2 = extractResidualLayerParams('conv32_2');\n const conv32_3 = extractResidualLayerParams('conv32_3');\n\n const conv64_down = extractResidualLayerParams('conv64_down');\n const conv64_1 = extractResidualLayerParams('conv64_1');\n const conv64_2 = extractResidualLayerParams('conv64_2');\n const conv64_3 = extractResidualLayerParams('conv64_3');\n\n const conv128_down = extractResidualLayerParams('conv128_down');\n const conv128_1 = extractResidualLayerParams('conv128_1');\n const conv128_2 = extractResidualLayerParams('conv128_2');\n\n const conv256_down = extractResidualLayerParams('conv256_down');\n const conv256_1 = extractResidualLayerParams('conv256_1');\n const conv256_2 = extractResidualLayerParams('conv256_2');\n const conv256_down_out = extractResidualLayerParams('conv256_down_out');\n\n const { fc } = weightMap;\n paramMappings.push({ originalPath: 'fc', paramPath: 'fc' });\n\n if (!isTensor2D(fc)) {\n throw new Error(`expected weightMap[fc] to be a Tensor2D, instead have ${fc}`);\n }\n\n const params = {\n conv32_down,\n conv32_1,\n conv32_2,\n conv32_3,\n conv64_down,\n conv64_1,\n conv64_2,\n conv64_3,\n conv128_down,\n conv128_1,\n conv128_2,\n conv256_down,\n conv256_1,\n conv256_2,\n conv256_down_out,\n fc,\n };\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n\n return { params, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { conv, convDown, convNoRelu } from './convLayer';\nimport { ResidualLayerParams } from './types';\n\nexport function residual(x: tf.Tensor4D, params: ResidualLayerParams): tf.Tensor4D {\n let out = conv(x, params.conv1);\n out = convNoRelu(out, params.conv2);\n out = tf.add(out, x);\n out = tf.relu(out);\n return out;\n}\n\nexport function residualDown(x: tf.Tensor4D, params: ResidualLayerParams): tf.Tensor4D {\n let out = convDown(x, params.conv1);\n out = convNoRelu(out, params.conv2);\n\n let pooled = tf.avgPool(x, 2, 2, 'valid') as tf.Tensor4D;\n const zeros = tf.zeros(pooled.shape);\n const isPad = pooled.shape[3] !== out.shape[3];\n const isAdjustShape = pooled.shape[1] !== out.shape[1] || pooled.shape[2] !== out.shape[2];\n\n if (isAdjustShape) {\n const padShapeX = [...out.shape] as [number, number, number, number];\n padShapeX[1] = 1;\n const zerosW = tf.zeros(padShapeX);\n out = tf.concat([out, zerosW], 1);\n\n const padShapeY = [...out.shape] as [number, number, number, number];\n padShapeY[2] = 1;\n const zerosH = tf.zeros(padShapeY);\n out = tf.concat([out, zerosH], 2);\n }\n\n pooled = isPad ? tf.concat([pooled, zeros], 3) : pooled;\n out = tf.add(pooled, out) as tf.Tensor4D;\n\n out = tf.relu(out);\n return out;\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { normalize } from '../ops/index';\nimport { convDown } from './convLayer';\nimport { extractParams } from './extractParams';\nimport { extractParamsFromWeightMap } from './extractParamsFromWeightMap';\nimport { residual, residualDown } from './residualLayer';\nimport { NetParams } from './types';\n\nexport class FaceRecognitionNet extends NeuralNetwork {\n constructor() {\n super('FaceRecognitionNet');\n }\n\n public forwardInput(input: NetInput): tf.Tensor2D {\n const { params } = this;\n\n if (!params) {\n throw new Error('FaceRecognitionNet - load model before inference');\n }\n\n return tf.tidy(() => {\n const batchTensor = tf.cast(input.toBatchTensor(150, true), 'float32');\n\n const meanRgb = [122.782, 117.001, 104.298];\n const normalized = normalize(batchTensor, meanRgb).div(255) as tf.Tensor4D;\n\n let out = convDown(normalized, params.conv32_down);\n out = tf.maxPool(out, 3, 2, 'valid');\n\n out = residual(out, params.conv32_1);\n out = residual(out, params.conv32_2);\n out = residual(out, params.conv32_3);\n\n out = residualDown(out, params.conv64_down);\n out = residual(out, params.conv64_1);\n out = residual(out, params.conv64_2);\n out = residual(out, params.conv64_3);\n\n out = residualDown(out, params.conv128_down);\n out = residual(out, params.conv128_1);\n out = residual(out, params.conv128_2);\n\n out = residualDown(out, params.conv256_down);\n out = residual(out, params.conv256_1);\n out = residual(out, params.conv256_2);\n out = residualDown(out, params.conv256_down_out);\n\n const globalAvg = out.mean([1, 2]) as tf.Tensor2D;\n const fullyConnected = tf.matMul(globalAvg, params.fc);\n\n return fullyConnected as tf.Tensor2D;\n });\n }\n\n public async forward(input: TNetInput): Promise {\n return this.forwardInput(await toNetInput(input));\n }\n\n public async computeFaceDescriptor(input: TNetInput): Promise {\n // @ts-ignore\n if (input?.shape?.some((dim) => dim <= 0)) return new Float32Array(128);\n const netInput = await toNetInput(input);\n const faceDescriptorTensors = tf.tidy(() => tf.unstack(this.forwardInput(netInput)));\n const faceDescriptorsForBatch = await Promise.all(faceDescriptorTensors.map((t) => t.data())) as Float32Array[];\n faceDescriptorTensors.forEach((t) => t.dispose());\n return netInput.isBatchInput ? faceDescriptorsForBatch : faceDescriptorsForBatch[0];\n }\n\n protected getDefaultModelName(): string {\n return 'face_recognition_model';\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n return extractParamsFromWeightMap(weightMap);\n }\n\n protected extractParams(weights: Float32Array) {\n return extractParams(weights);\n }\n}\n", "import { FaceRecognitionNet } from './FaceRecognitionNet';\n\nexport * from './FaceRecognitionNet';\n\nexport function createFaceRecognitionNet(weights: Float32Array) {\n const net = new FaceRecognitionNet();\n net.extractWeights(weights);\n return net;\n}\n", "export type WithFaceDescriptor = TSource & {\n descriptor: Float32Array\n}\n\nexport function extendWithFaceDescriptor<\n TSource\n>(\n sourceObj: TSource,\n descriptor: Float32Array,\n): WithFaceDescriptor {\n const extension = { descriptor };\n return { ...sourceObj, ...extension };\n}\n", "export type WithAge = TSource & {\n age: number\n}\n\nexport function isWithAge(obj: any): obj is WithAge<{}> {\n return typeof obj.age === 'number';\n}\n\nexport function extendWithAge<\n TSource\n>(\n sourceObj: TSource,\n age: number,\n): WithAge {\n const extension = { age };\n return { ...sourceObj, ...extension };\n}\n", "import { Gender } from '../ageGenderNet/types';\nimport { isValidProbablitiy } from '../utils/index';\n\nexport type WithGender = TSource & {\n gender: Gender\n genderProbability: number\n}\n\nexport function isWithGender(obj: any): obj is WithGender<{}> {\n return (obj.gender === Gender.MALE || obj.gender === Gender.FEMALE)\n && isValidProbablitiy(obj.genderProbability);\n}\n\nexport function extendWithGender<\n TSource\n>(\n sourceObj: TSource,\n gender: Gender,\n genderProbability: number,\n): WithGender {\n const extension = { gender, genderProbability };\n return { ...sourceObj, ...extension };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ExtractWeightsFunction, ParamMapping, ConvParams, extractWeightsFactory } from '../common/index';\nimport { MobileNetV1, NetParams, PointwiseConvParams, PredictionLayerParams } from './types';\n\nfunction extractorsFactory(extractWeights: ExtractWeightsFunction, paramMappings: ParamMapping[]) {\n function extractDepthwiseConvParams(numChannels: number, mappedPrefix: string): MobileNetV1.DepthwiseConvParams {\n const filters = tf.tensor4d(extractWeights(3 * 3 * numChannels), [3, 3, numChannels, 1]);\n const batch_norm_scale = tf.tensor1d(extractWeights(numChannels));\n const batch_norm_offset = tf.tensor1d(extractWeights(numChannels));\n const batch_norm_mean = tf.tensor1d(extractWeights(numChannels));\n const batch_norm_variance = tf.tensor1d(extractWeights(numChannels));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/filters` },\n { paramPath: `${mappedPrefix}/batch_norm_scale` },\n { paramPath: `${mappedPrefix}/batch_norm_offset` },\n { paramPath: `${mappedPrefix}/batch_norm_mean` },\n { paramPath: `${mappedPrefix}/batch_norm_variance` },\n );\n\n return {\n filters,\n batch_norm_scale,\n batch_norm_offset,\n batch_norm_mean,\n batch_norm_variance,\n };\n }\n\n function extractConvParams(\n channelsIn: number,\n channelsOut: number,\n filterSize: number,\n mappedPrefix: string,\n isPointwiseConv?: boolean,\n ): ConvParams {\n const filters = tf.tensor4d(\n extractWeights(channelsIn * channelsOut * filterSize * filterSize),\n [filterSize, filterSize, channelsIn, channelsOut],\n );\n const bias = tf.tensor1d(extractWeights(channelsOut));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/filters` },\n { paramPath: `${mappedPrefix}/${isPointwiseConv ? 'batch_norm_offset' : 'bias'}` },\n );\n\n return { filters, bias };\n }\n\n function extractPointwiseConvParams(\n channelsIn: number,\n channelsOut: number,\n filterSize: number,\n mappedPrefix: string,\n ): PointwiseConvParams {\n const {\n filters,\n bias,\n } = extractConvParams(channelsIn, channelsOut, filterSize, mappedPrefix, true);\n\n return {\n filters,\n batch_norm_offset: bias,\n };\n }\n\n function extractConvPairParams(\n channelsIn: number,\n channelsOut: number,\n mappedPrefix: string,\n ): MobileNetV1.ConvPairParams {\n const depthwise_conv = extractDepthwiseConvParams(channelsIn, `${mappedPrefix}/depthwise_conv`);\n const pointwise_conv = extractPointwiseConvParams(channelsIn, channelsOut, 1, `${mappedPrefix}/pointwise_conv`);\n\n return { depthwise_conv, pointwise_conv };\n }\n\n function extractMobilenetV1Params(): MobileNetV1.Params {\n const conv_0 = extractPointwiseConvParams(3, 32, 3, 'mobilenetv1/conv_0');\n const conv_1 = extractConvPairParams(32, 64, 'mobilenetv1/conv_1');\n const conv_2 = extractConvPairParams(64, 128, 'mobilenetv1/conv_2');\n const conv_3 = extractConvPairParams(128, 128, 'mobilenetv1/conv_3');\n const conv_4 = extractConvPairParams(128, 256, 'mobilenetv1/conv_4');\n const conv_5 = extractConvPairParams(256, 256, 'mobilenetv1/conv_5');\n const conv_6 = extractConvPairParams(256, 512, 'mobilenetv1/conv_6');\n const conv_7 = extractConvPairParams(512, 512, 'mobilenetv1/conv_7');\n const conv_8 = extractConvPairParams(512, 512, 'mobilenetv1/conv_8');\n const conv_9 = extractConvPairParams(512, 512, 'mobilenetv1/conv_9');\n const conv_10 = extractConvPairParams(512, 512, 'mobilenetv1/conv_10');\n const conv_11 = extractConvPairParams(512, 512, 'mobilenetv1/conv_11');\n const conv_12 = extractConvPairParams(512, 1024, 'mobilenetv1/conv_12');\n const conv_13 = extractConvPairParams(1024, 1024, 'mobilenetv1/conv_13');\n return {\n conv_0,\n conv_1,\n conv_2,\n conv_3,\n conv_4,\n conv_5,\n conv_6,\n conv_7,\n conv_8,\n conv_9,\n conv_10,\n conv_11,\n conv_12,\n conv_13,\n };\n }\n\n function extractPredictionLayerParams(): PredictionLayerParams {\n const conv_0 = extractPointwiseConvParams(1024, 256, 1, 'prediction_layer/conv_0');\n const conv_1 = extractPointwiseConvParams(256, 512, 3, 'prediction_layer/conv_1');\n const conv_2 = extractPointwiseConvParams(512, 128, 1, 'prediction_layer/conv_2');\n const conv_3 = extractPointwiseConvParams(128, 256, 3, 'prediction_layer/conv_3');\n const conv_4 = extractPointwiseConvParams(256, 128, 1, 'prediction_layer/conv_4');\n const conv_5 = extractPointwiseConvParams(128, 256, 3, 'prediction_layer/conv_5');\n const conv_6 = extractPointwiseConvParams(256, 64, 1, 'prediction_layer/conv_6');\n const conv_7 = extractPointwiseConvParams(64, 128, 3, 'prediction_layer/conv_7');\n const box_encoding_0_predictor = extractConvParams(512, 12, 1, 'prediction_layer/box_predictor_0/box_encoding_predictor');\n const class_predictor_0 = extractConvParams(512, 9, 1, 'prediction_layer/box_predictor_0/class_predictor');\n const box_encoding_1_predictor = extractConvParams(1024, 24, 1, 'prediction_layer/box_predictor_1/box_encoding_predictor');\n const class_predictor_1 = extractConvParams(1024, 18, 1, 'prediction_layer/box_predictor_1/class_predictor');\n const box_encoding_2_predictor = extractConvParams(512, 24, 1, 'prediction_layer/box_predictor_2/box_encoding_predictor');\n const class_predictor_2 = extractConvParams(512, 18, 1, 'prediction_layer/box_predictor_2/class_predictor');\n const box_encoding_3_predictor = extractConvParams(256, 24, 1, 'prediction_layer/box_predictor_3/box_encoding_predictor');\n const class_predictor_3 = extractConvParams(256, 18, 1, 'prediction_layer/box_predictor_3/class_predictor');\n const box_encoding_4_predictor = extractConvParams(256, 24, 1, 'prediction_layer/box_predictor_4/box_encoding_predictor');\n const class_predictor_4 = extractConvParams(256, 18, 1, 'prediction_layer/box_predictor_4/class_predictor');\n const box_encoding_5_predictor = extractConvParams(128, 24, 1, 'prediction_layer/box_predictor_5/box_encoding_predictor');\n const class_predictor_5 = extractConvParams(128, 18, 1, 'prediction_layer/box_predictor_5/class_predictor');\n\n const box_predictor_0 = {\n box_encoding_predictor: box_encoding_0_predictor,\n class_predictor: class_predictor_0,\n };\n const box_predictor_1 = {\n box_encoding_predictor: box_encoding_1_predictor,\n class_predictor: class_predictor_1,\n };\n const box_predictor_2 = {\n box_encoding_predictor: box_encoding_2_predictor,\n class_predictor: class_predictor_2,\n };\n const box_predictor_3 = {\n box_encoding_predictor: box_encoding_3_predictor,\n class_predictor: class_predictor_3,\n };\n const box_predictor_4 = {\n box_encoding_predictor: box_encoding_4_predictor,\n class_predictor: class_predictor_4,\n };\n const box_predictor_5 = {\n box_encoding_predictor: box_encoding_5_predictor,\n class_predictor: class_predictor_5,\n };\n return {\n conv_0,\n conv_1,\n conv_2,\n conv_3,\n conv_4,\n conv_5,\n conv_6,\n conv_7,\n box_predictor_0,\n box_predictor_1,\n box_predictor_2,\n box_predictor_3,\n box_predictor_4,\n box_predictor_5,\n };\n }\n\n return {\n extractMobilenetV1Params,\n extractPredictionLayerParams,\n };\n}\n\nexport function extractParams(weights: Float32Array): { params: NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n const {\n extractMobilenetV1Params,\n extractPredictionLayerParams,\n } = extractorsFactory(extractWeights, paramMappings);\n const mobilenetv1 = extractMobilenetV1Params();\n const prediction_layer = extractPredictionLayerParams();\n const extra_dim = tf.tensor3d(\n extractWeights(5118 * 4),\n [1, 5118, 4],\n );\n const output_layer = {\n extra_dim,\n };\n paramMappings.push({ paramPath: 'output_layer/extra_dim' });\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n\n return {\n params: {\n mobilenetv1,\n prediction_layer,\n output_layer,\n },\n paramMappings,\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams, disposeUnusedWeightTensors, extractWeightEntryFactory, ParamMapping } from '../common/index';\nimport { isTensor3D } from '../utils/index';\nimport { BoxPredictionParams, MobileNetV1, NetParams, PointwiseConvParams, PredictionLayerParams } from './types';\n\nfunction extractorsFactory(weightMap: any, paramMappings: ParamMapping[]) {\n const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);\n\n function extractPointwiseConvParams(prefix: string, idx: number, mappedPrefix: string): PointwiseConvParams {\n const filters = extractWeightEntry(`${prefix}/Conv2d_${idx}_pointwise/weights`, 4, `${mappedPrefix}/filters`);\n const batch_norm_offset = extractWeightEntry(`${prefix}/Conv2d_${idx}_pointwise/convolution_bn_offset`, 1, `${mappedPrefix}/batch_norm_offset`);\n return { filters, batch_norm_offset };\n }\n\n function extractConvPairParams(idx: number): MobileNetV1.ConvPairParams {\n const mappedPrefix = `mobilenetv1/conv_${idx}`;\n const prefixDepthwiseConv = `MobilenetV1/Conv2d_${idx}_depthwise`;\n const mappedPrefixDepthwiseConv = `${mappedPrefix}/depthwise_conv`;\n const mappedPrefixPointwiseConv = `${mappedPrefix}/pointwise_conv`;\n\n const filters = extractWeightEntry(`${prefixDepthwiseConv}/depthwise_weights`, 4, `${mappedPrefixDepthwiseConv}/filters`);\n const batch_norm_scale = extractWeightEntry(`${prefixDepthwiseConv}/BatchNorm/gamma`, 1, `${mappedPrefixDepthwiseConv}/batch_norm_scale`);\n const batch_norm_offset = extractWeightEntry(`${prefixDepthwiseConv}/BatchNorm/beta`, 1, `${mappedPrefixDepthwiseConv}/batch_norm_offset`);\n const batch_norm_mean = extractWeightEntry(`${prefixDepthwiseConv}/BatchNorm/moving_mean`, 1, `${mappedPrefixDepthwiseConv}/batch_norm_mean`);\n const batch_norm_variance = extractWeightEntry(`${prefixDepthwiseConv}/BatchNorm/moving_variance`, 1, `${mappedPrefixDepthwiseConv}/batch_norm_variance`);\n\n return {\n depthwise_conv: {\n filters,\n batch_norm_scale,\n batch_norm_offset,\n batch_norm_mean,\n batch_norm_variance,\n },\n pointwise_conv: extractPointwiseConvParams('MobilenetV1', idx, mappedPrefixPointwiseConv),\n };\n }\n\n function extractMobilenetV1Params(): MobileNetV1.Params {\n return {\n conv_0: extractPointwiseConvParams('MobilenetV1', 0, 'mobilenetv1/conv_0'),\n conv_1: extractConvPairParams(1),\n conv_2: extractConvPairParams(2),\n conv_3: extractConvPairParams(3),\n conv_4: extractConvPairParams(4),\n conv_5: extractConvPairParams(5),\n conv_6: extractConvPairParams(6),\n conv_7: extractConvPairParams(7),\n conv_8: extractConvPairParams(8),\n conv_9: extractConvPairParams(9),\n conv_10: extractConvPairParams(10),\n conv_11: extractConvPairParams(11),\n conv_12: extractConvPairParams(12),\n conv_13: extractConvPairParams(13),\n };\n }\n\n function extractConvParams(prefix: string, mappedPrefix: string): ConvParams {\n const filters = extractWeightEntry(`${prefix}/weights`, 4, `${mappedPrefix}/filters`);\n const bias = extractWeightEntry(`${prefix}/biases`, 1, `${mappedPrefix}/bias`);\n return { filters, bias };\n }\n\n function extractBoxPredictorParams(idx: number): BoxPredictionParams {\n const box_encoding_predictor = extractConvParams(\n `Prediction/BoxPredictor_${idx}/BoxEncodingPredictor`,\n `prediction_layer/box_predictor_${idx}/box_encoding_predictor`,\n );\n const class_predictor = extractConvParams(\n `Prediction/BoxPredictor_${idx}/ClassPredictor`,\n `prediction_layer/box_predictor_${idx}/class_predictor`,\n );\n return { box_encoding_predictor, class_predictor };\n }\n\n function extractPredictionLayerParams(): PredictionLayerParams {\n return {\n conv_0: extractPointwiseConvParams('Prediction', 0, 'prediction_layer/conv_0'),\n conv_1: extractPointwiseConvParams('Prediction', 1, 'prediction_layer/conv_1'),\n conv_2: extractPointwiseConvParams('Prediction', 2, 'prediction_layer/conv_2'),\n conv_3: extractPointwiseConvParams('Prediction', 3, 'prediction_layer/conv_3'),\n conv_4: extractPointwiseConvParams('Prediction', 4, 'prediction_layer/conv_4'),\n conv_5: extractPointwiseConvParams('Prediction', 5, 'prediction_layer/conv_5'),\n conv_6: extractPointwiseConvParams('Prediction', 6, 'prediction_layer/conv_6'),\n conv_7: extractPointwiseConvParams('Prediction', 7, 'prediction_layer/conv_7'),\n box_predictor_0: extractBoxPredictorParams(0),\n box_predictor_1: extractBoxPredictorParams(1),\n box_predictor_2: extractBoxPredictorParams(2),\n box_predictor_3: extractBoxPredictorParams(3),\n box_predictor_4: extractBoxPredictorParams(4),\n box_predictor_5: extractBoxPredictorParams(5),\n };\n }\n\n return {\n extractMobilenetV1Params,\n extractPredictionLayerParams,\n };\n}\n\nexport function extractParamsFromWeightMap(\n weightMap: tf.NamedTensorMap,\n): { params: NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n const {\n extractMobilenetV1Params,\n extractPredictionLayerParams,\n } = extractorsFactory(weightMap, paramMappings);\n const extra_dim = weightMap['Output/extra_dim'];\n paramMappings.push({ originalPath: 'Output/extra_dim', paramPath: 'output_layer/extra_dim' });\n if (!isTensor3D(extra_dim)) {\n throw new Error(`expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have ${extra_dim}`);\n }\n\n const params = {\n mobilenetv1: extractMobilenetV1Params(),\n prediction_layer: extractPredictionLayerParams(),\n output_layer: {\n extra_dim,\n },\n };\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n return { params, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { PointwiseConvParams } from './types';\n\nexport function pointwiseConvLayer(x: tf.Tensor4D, params: PointwiseConvParams, strides: [number, number]) {\n return tf.tidy(() => {\n let out = tf.conv2d(x, params.filters, strides, 'same');\n out = tf.add(out, params.batch_norm_offset);\n return tf.clipByValue(out, 0, 6);\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { pointwiseConvLayer } from './pointwiseConvLayer';\nimport { MobileNetV1 } from './types';\n\nconst epsilon = 0.0010000000474974513;\n\nfunction depthwiseConvLayer(x: tf.Tensor4D, params: MobileNetV1.DepthwiseConvParams, strides: [number, number]) {\n return tf.tidy(() => {\n let out = tf.depthwiseConv2d(x, params.filters, strides, 'same');\n out = tf.batchNorm(\n out,\n params.batch_norm_mean,\n params.batch_norm_variance,\n params.batch_norm_offset,\n params.batch_norm_scale,\n epsilon,\n );\n return tf.clipByValue(out, 0, 6);\n });\n}\n\nfunction getStridesForLayerIdx(layerIdx: number): [number, number] {\n return [2, 4, 6, 12].some((idx) => idx === layerIdx) ? [2, 2] : [1, 1];\n}\n\nexport function mobileNetV1(x: tf.Tensor4D, params: MobileNetV1.Params) {\n return tf.tidy(() => {\n let conv11;\n let out = pointwiseConvLayer(x, params.conv_0, [2, 2]);\n\n const convPairParams = [\n params.conv_1,\n params.conv_2,\n params.conv_3,\n params.conv_4,\n params.conv_5,\n params.conv_6,\n params.conv_7,\n params.conv_8,\n params.conv_9,\n params.conv_10,\n params.conv_11,\n params.conv_12,\n params.conv_13,\n ];\n\n convPairParams.forEach((param, i) => {\n const layerIdx = i + 1;\n const depthwiseConvStrides = getStridesForLayerIdx(layerIdx);\n out = depthwiseConvLayer(out, param.depthwise_conv, depthwiseConvStrides);\n out = pointwiseConvLayer(out, param.pointwise_conv, [1, 1]);\n if (layerIdx === 11) conv11 = out;\n });\n\n if (conv11 === null) {\n throw new Error('mobileNetV1 - output of conv layer 11 is null');\n }\n\n return {\n out,\n conv11: conv11 as any,\n };\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nfunction IOU(boxes: tf.Tensor2D, i: number, j: number) {\n const boxesData = boxes.arraySync();\n const yminI = Math.min(boxesData[i][0], boxesData[i][2]);\n const xminI = Math.min(boxesData[i][1], boxesData[i][3]);\n const ymaxI = Math.max(boxesData[i][0], boxesData[i][2]);\n const xmaxI = Math.max(boxesData[i][1], boxesData[i][3]);\n const yminJ = Math.min(boxesData[j][0], boxesData[j][2]);\n const xminJ = Math.min(boxesData[j][1], boxesData[j][3]);\n const ymaxJ = Math.max(boxesData[j][0], boxesData[j][2]);\n const xmaxJ = Math.max(boxesData[j][1], boxesData[j][3]);\n const areaI = (ymaxI - yminI) * (xmaxI - xminI);\n const areaJ = (ymaxJ - yminJ) * (xmaxJ - xminJ);\n if (areaI <= 0 || areaJ <= 0) return 0.0;\n const intersectionYmin = Math.max(yminI, yminJ);\n const intersectionXmin = Math.max(xminI, xminJ);\n const intersectionYmax = Math.min(ymaxI, ymaxJ);\n const intersectionXmax = Math.min(xmaxI, xmaxJ);\n const intersectionArea = Math.max(intersectionYmax - intersectionYmin, 0.0) * Math.max(intersectionXmax - intersectionXmin, 0.0);\n return intersectionArea / (areaI + areaJ - intersectionArea);\n}\n\nexport function nonMaxSuppression(\n boxes: tf.Tensor2D,\n scores: number[],\n maxOutputSize: number,\n iouThreshold: number,\n scoreThreshold: number,\n): number[] {\n const numBoxes = boxes.shape[0];\n const outputSize = Math.min(maxOutputSize, numBoxes);\n\n const candidates = scores\n .map((score, boxIndex) => ({ score, boxIndex }))\n .filter((c) => c.score > scoreThreshold)\n .sort((c1, c2) => c2.score - c1.score);\n\n const suppressFunc = (x: number) => (x <= iouThreshold ? 1 : 0);\n const selected: number[] = [];\n\n candidates.forEach((c) => {\n if (selected.length >= outputSize) return;\n const originalScore = c.score;\n for (let j = selected.length - 1; j >= 0; --j) {\n const iou = IOU(boxes, c.boxIndex, selected[j]);\n if (iou === 0.0) continue;\n c.score *= suppressFunc(iou);\n if (c.score <= scoreThreshold) break;\n }\n if (originalScore === c.score) {\n selected.push(c.boxIndex);\n }\n });\n return selected;\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { OutputLayerParams } from './types';\n\nfunction getCenterCoordinatesAndSizesLayer(x: tf.Tensor2D) {\n const vec = tf.unstack(tf.transpose(x, [1, 0]));\n\n const sizes = [\n tf.sub(vec[2], vec[0]),\n tf.sub(vec[3], vec[1]),\n ];\n const centers = [\n tf.add(vec[0], tf.div(sizes[0], 2)),\n tf.add(vec[1], tf.div(sizes[1], 2)),\n ];\n return { sizes, centers };\n}\n\nfunction decodeBoxesLayer(x0: tf.Tensor2D, x1: tf.Tensor2D) {\n const { sizes, centers } = getCenterCoordinatesAndSizesLayer(x0);\n\n const vec = tf.unstack(tf.transpose(x1, [1, 0]));\n const div0_out = tf.div(tf.mul(tf.exp(tf.div(vec[2], 5)), sizes[0]), 2);\n const add0_out = tf.add(tf.mul(tf.div(vec[0], 10), sizes[0]), centers[0]);\n const div1_out = tf.div(tf.mul(tf.exp(tf.div(vec[3], 5)), sizes[1]), 2);\n const add1_out = tf.add(tf.mul(tf.div(vec[1], 10), sizes[1]), centers[1]);\n\n return tf.transpose(\n tf.stack([\n tf.sub(add0_out, div0_out),\n tf.sub(add1_out, div1_out),\n tf.add(add0_out, div0_out),\n tf.add(add1_out, div1_out),\n ]),\n [1, 0],\n );\n}\n\nexport function outputLayer(boxPredictions: tf.Tensor4D, classPredictions: tf.Tensor4D, params: OutputLayerParams) {\n return tf.tidy(() => {\n const batchSize = boxPredictions.shape[0];\n\n let boxes = decodeBoxesLayer(\n tf.reshape(tf.tile(params.extra_dim, [batchSize, 1, 1]), [-1, 4]) as tf.Tensor2D,\n tf.reshape(boxPredictions, [-1, 4]) as tf.Tensor2D,\n );\n boxes = tf.reshape(boxes, [batchSize, (boxes.shape[0] / batchSize), 4]);\n\n const scoresAndClasses = tf.sigmoid(tf.slice(classPredictions, [0, 0, 1], [-1, -1, -1]));\n let scores = tf.slice(scoresAndClasses, [0, 0, 0], [-1, -1, 1]) as tf.Tensor;\n\n scores = tf.reshape(scores, [batchSize, scores.shape[1] as number]);\n\n const boxesByBatch = tf.unstack(boxes) as tf.Tensor2D[];\n const scoresByBatch = tf.unstack(scores) as tf.Tensor1D[];\n\n return { boxes: boxesByBatch, scores: scoresByBatch };\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { convLayer } from '../common/index';\nimport { BoxPredictionParams } from './types';\n\nexport function boxPredictionLayer(\n x: tf.Tensor4D,\n params: BoxPredictionParams,\n) {\n return tf.tidy(() => {\n const batchSize = x.shape[0];\n const boxPredictionEncoding = tf.reshape(\n convLayer(x, params.box_encoding_predictor),\n [batchSize, -1, 1, 4],\n );\n const classPrediction = tf.reshape(\n convLayer(x, params.class_predictor),\n [batchSize, -1, 3],\n );\n return { boxPredictionEncoding, classPrediction };\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { boxPredictionLayer } from './boxPredictionLayer';\nimport { pointwiseConvLayer } from './pointwiseConvLayer';\nimport { PredictionLayerParams } from './types';\n\nexport function predictionLayer(\n x: tf.Tensor4D,\n conv11: tf.Tensor4D,\n params: PredictionLayerParams,\n) {\n return tf.tidy(() => {\n const conv0 = pointwiseConvLayer(x, params.conv_0, [1, 1]);\n const conv1 = pointwiseConvLayer(conv0, params.conv_1, [2, 2]);\n const conv2 = pointwiseConvLayer(conv1, params.conv_2, [1, 1]);\n const conv3 = pointwiseConvLayer(conv2, params.conv_3, [2, 2]);\n const conv4 = pointwiseConvLayer(conv3, params.conv_4, [1, 1]);\n const conv5 = pointwiseConvLayer(conv4, params.conv_5, [2, 2]);\n const conv6 = pointwiseConvLayer(conv5, params.conv_6, [1, 1]);\n const conv7 = pointwiseConvLayer(conv6, params.conv_7, [2, 2]);\n\n const boxPrediction0 = boxPredictionLayer(conv11, params.box_predictor_0);\n const boxPrediction1 = boxPredictionLayer(x, params.box_predictor_1);\n const boxPrediction2 = boxPredictionLayer(conv1, params.box_predictor_2);\n const boxPrediction3 = boxPredictionLayer(conv3, params.box_predictor_3);\n const boxPrediction4 = boxPredictionLayer(conv5, params.box_predictor_4);\n const boxPrediction5 = boxPredictionLayer(conv7, params.box_predictor_5);\n\n const boxPredictions = tf.concat([\n boxPrediction0.boxPredictionEncoding,\n boxPrediction1.boxPredictionEncoding,\n boxPrediction2.boxPredictionEncoding,\n boxPrediction3.boxPredictionEncoding,\n boxPrediction4.boxPredictionEncoding,\n boxPrediction5.boxPredictionEncoding,\n ], 1) as tf.Tensor4D;\n\n const classPredictions = tf.concat([\n boxPrediction0.classPrediction,\n boxPrediction1.classPrediction,\n boxPrediction2.classPrediction,\n boxPrediction3.classPrediction,\n boxPrediction4.classPrediction,\n boxPrediction5.classPrediction,\n ], 1) as tf.Tensor4D;\n\n return {\n boxPredictions,\n classPredictions,\n };\n });\n}\n", "export interface ISsdMobilenetv1Options {\n minConfidence?: number\n maxResults?: number\n}\n\nexport class SsdMobilenetv1Options {\n protected _name = 'SsdMobilenetv1Options';\n\n private _minConfidence: number;\n\n private _maxResults: number;\n\n constructor({ minConfidence, maxResults }: ISsdMobilenetv1Options = {}) {\n this._minConfidence = minConfidence || 0.5;\n this._maxResults = maxResults || 100;\n\n if (typeof this._minConfidence !== 'number' || this._minConfidence <= 0 || this._minConfidence >= 1) {\n throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);\n }\n\n if (typeof this._maxResults !== 'number') {\n throw new Error(`${this._name} - expected maxResults to be a number`);\n }\n }\n\n get minConfidence(): number { return this._minConfidence; }\n\n get maxResults(): number { return this._maxResults; }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { Rect } from '../classes/index';\nimport { FaceDetection } from '../classes/FaceDetection';\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { extractParams } from './extractParams';\nimport { extractParamsFromWeightMap } from './extractParamsFromWeightMap';\nimport { mobileNetV1 } from './mobileNetV1';\nimport { nonMaxSuppression } from './nonMaxSuppression';\nimport { outputLayer } from './outputLayer';\nimport { predictionLayer } from './predictionLayer';\nimport { ISsdMobilenetv1Options, SsdMobilenetv1Options } from './SsdMobilenetv1Options';\nimport { NetParams } from './types';\n\nexport class SsdMobilenetv1 extends NeuralNetwork {\n constructor() {\n super('SsdMobilenetv1');\n }\n\n public forwardInput(input: NetInput) {\n const { params } = this;\n if (!params) throw new Error('SsdMobilenetv1 - load model before inference');\n return tf.tidy(() => {\n const batchTensor = tf.cast(input.toBatchTensor(512, false), 'float32');\n const x = tf.sub(tf.div(batchTensor, 127.5), 1) as tf.Tensor4D; // input is normalized -1..1\n const features = mobileNetV1(x, params.mobilenetv1);\n const { boxPredictions, classPredictions } = predictionLayer(features.out, features.conv11, params.prediction_layer);\n return outputLayer(boxPredictions, classPredictions, params.output_layer);\n });\n }\n\n public async forward(input: TNetInput) {\n return this.forwardInput(await toNetInput(input));\n }\n\n public async locateFaces(input: TNetInput, options: ISsdMobilenetv1Options = {}): Promise {\n const { maxResults, minConfidence } = new SsdMobilenetv1Options(options);\n const netInput = await toNetInput(input);\n const { boxes: _boxes, scores: _scores } = this.forwardInput(netInput);\n const boxes = _boxes[0];\n const scores = _scores[0];\n for (let i = 1; i < _boxes.length; i++) {\n _boxes[i].dispose();\n _scores[i].dispose();\n }\n const scoresData = Array.from(scores.dataSync());\n const iouThreshold = 0.5;\n const indices = nonMaxSuppression(boxes, scoresData as number[], maxResults, iouThreshold, minConfidence);\n const reshapedDims = netInput.getReshapedInputDimensions(0);\n const inputSize = netInput.inputSize as number;\n const padX = inputSize / reshapedDims.width;\n const padY = inputSize / reshapedDims.height;\n const boxesData = boxes.arraySync();\n const results = indices\n .map((idx) => {\n const [top, bottom] = [\n Math.max(0, boxesData[idx][0]),\n Math.min(1.0, boxesData[idx][2]),\n ].map((val) => val * padY);\n const [left, right] = [\n Math.max(0, boxesData[idx][1]),\n Math.min(1.0, boxesData[idx][3]),\n ].map((val) => val * padX);\n return new FaceDetection(\n scoresData[idx] as number,\n new Rect(left, top, right - left, bottom - top),\n { height: netInput.getInputHeight(0), width: netInput.getInputWidth(0) },\n );\n });\n boxes.dispose();\n scores.dispose();\n return results;\n }\n\n protected getDefaultModelName(): string {\n return 'ssd_mobilenetv1_model';\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n return extractParamsFromWeightMap(weightMap);\n }\n\n protected extractParams(weights: Float32Array) {\n return extractParams(weights);\n }\n}\n", "import { SsdMobilenetv1 } from './SsdMobilenetv1';\n\nexport * from './SsdMobilenetv1';\nexport * from './SsdMobilenetv1Options';\n\nexport function createSsdMobilenetv1(weights: Float32Array) {\n const net = new SsdMobilenetv1();\n net.extractWeights(weights);\n return net;\n}\n\nexport function createFaceDetectionNet(weights: Float32Array) {\n return createSsdMobilenetv1(weights);\n}\n\n// alias for backward compatibily\nexport class FaceDetectionNet extends SsdMobilenetv1 {}\n", "import { Point } from '../classes/index';\n\nexport const IOU_THRESHOLD = 0.4;\n\nexport const BOX_ANCHORS = [\n new Point(0.738768, 0.874946),\n new Point(2.42204, 2.65704),\n new Point(4.30971, 7.04493),\n new Point(10.246, 4.59428),\n new Point(12.6868, 11.8741),\n];\n\nexport const BOX_ANCHORS_SEPARABLE = [\n new Point(1.603231, 2.094468),\n new Point(6.041143, 7.080126),\n new Point(2.882459, 3.518061),\n new Point(4.266906, 5.178857),\n new Point(9.041765, 10.66308),\n];\n\nexport const MEAN_RGB_SEPARABLE: [number, number, number] = [117.001, 114.697, 97.404];\n\nexport const DEFAULT_MODEL_NAME = 'tiny_yolov2_model';\nexport const DEFAULT_MODEL_NAME_SEPARABLE_CONV = 'tiny_yolov2_separable_conv_model';\n", "import { Point } from '../classes/Point';\n\nexport type TinyYolov2Config = {\n withSeparableConvs: boolean\n iouThreshold: number\n anchors: Point[]\n classes: string[]\n meanRgb?: [number, number, number]\n withClassScores?: boolean,\n filterSizes?: number[]\n isFirstLayerConv2d?: boolean\n}\n\nconst isNumber = (arg: any) => typeof arg === 'number';\n\nexport function validateConfig(config: any) {\n if (!config) {\n throw new Error(`invalid config: ${config}`);\n }\n\n if (typeof config.withSeparableConvs !== 'boolean') {\n throw new Error(`config.withSeparableConvs has to be a boolean, have: ${config.withSeparableConvs}`);\n }\n\n if (!isNumber(config.iouThreshold) || config.iouThreshold < 0 || config.iouThreshold > 1.0) {\n throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${config.iouThreshold}`);\n }\n\n if (\n !Array.isArray(config.classes)\n || !config.classes.length\n || !config.classes.every((c: any) => typeof c === 'string')\n ) {\n throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(config.classes)}`);\n }\n\n if (\n !Array.isArray(config.anchors)\n || !config.anchors.length\n || !config.anchors.map((a: any) => a || {}).every((a: any) => isNumber(a.x) && isNumber(a.y))\n ) {\n throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(config.anchors)}`);\n }\n\n if (config.meanRgb && (\n !Array.isArray(config.meanRgb)\n || config.meanRgb.length !== 3\n || !config.meanRgb.every(isNumber)\n )) {\n throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(config.meanRgb)}`);\n }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nexport function leaky(x: tf.Tensor4D): tf.Tensor4D {\n return tf.tidy(() => {\n const min = tf.mul(x, tf.scalar(0.10000000149011612));\n return tf.add(tf.relu(tf.sub(x, min)), min);\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { leaky } from './leaky';\nimport { ConvWithBatchNorm } from './types';\n\nexport function convWithBatchNorm(x: tf.Tensor4D, params: ConvWithBatchNorm): tf.Tensor4D {\n return tf.tidy(() => {\n let out = tf.pad(x, [[0, 0], [1, 1], [1, 1], [0, 0]]) as tf.Tensor4D;\n out = tf.conv2d(out, params.conv.filters, [1, 1], 'valid');\n out = tf.sub(out, params.bn.sub);\n out = tf.mul(out, params.bn.truediv);\n out = tf.add(out, params.conv.bias);\n return leaky(out);\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { SeparableConvParams } from '../common/types';\nimport { leaky } from './leaky';\n\nexport function depthwiseSeparableConv(x: tf.Tensor4D, params: SeparableConvParams): tf.Tensor4D {\n return tf.tidy(() => {\n let out = tf.pad(x, [[0, 0], [1, 1], [1, 1], [0, 0]]) as tf.Tensor4D;\n out = tf.separableConv2d(out, params.depthwise_filter, params.pointwise_filter, [1, 1], 'valid');\n out = tf.add(out, params.bias);\n return leaky(out);\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { extractConvParamsFactory } from '../common/index';\nimport { extractSeparableConvParamsFactory } from '../common/extractSeparableConvParamsFactory';\nimport { extractWeightsFactory } from '../common/extractWeightsFactory';\nimport { ExtractWeightsFunction, ParamMapping } from '../common/types';\nimport { TinyYolov2Config } from './config';\nimport { BatchNorm, ConvWithBatchNorm, TinyYolov2NetParams } from './types';\n\nfunction extractorsFactory(extractWeights: ExtractWeightsFunction, paramMappings: ParamMapping[]) {\n const extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);\n\n function extractBatchNormParams(size: number, mappedPrefix: string): BatchNorm {\n const sub = tf.tensor1d(extractWeights(size));\n const truediv = tf.tensor1d(extractWeights(size));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/sub` },\n { paramPath: `${mappedPrefix}/truediv` },\n );\n return { sub, truediv };\n }\n\n function extractConvWithBatchNormParams(channelsIn: number, channelsOut: number, mappedPrefix: string): ConvWithBatchNorm {\n const conv = extractConvParams(channelsIn, channelsOut, 3, `${mappedPrefix}/conv`);\n const bn = extractBatchNormParams(channelsOut, `${mappedPrefix}/bn`);\n return { conv, bn };\n }\n const extractSeparableConvParams = extractSeparableConvParamsFactory(extractWeights, paramMappings);\n\n return {\n extractConvParams,\n extractConvWithBatchNormParams,\n extractSeparableConvParams,\n };\n}\n\nexport function extractParams(\n weights: Float32Array,\n config: TinyYolov2Config,\n boxEncodingSize: number,\n filterSizes: number[],\n): { params: TinyYolov2NetParams, paramMappings: ParamMapping[] } {\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n\n const paramMappings: ParamMapping[] = [];\n const {\n extractConvParams,\n extractConvWithBatchNormParams,\n extractSeparableConvParams,\n } = extractorsFactory(extractWeights, paramMappings);\n let params: TinyYolov2NetParams;\n\n if (config.withSeparableConvs) {\n const [s0, s1, s2, s3, s4, s5, s6, s7, s8] = filterSizes;\n const conv0 = config.isFirstLayerConv2d\n ? extractConvParams(s0, s1, 3, 'conv0')\n : extractSeparableConvParams(s0, s1, 'conv0');\n const conv1 = extractSeparableConvParams(s1, s2, 'conv1');\n const conv2 = extractSeparableConvParams(s2, s3, 'conv2');\n const conv3 = extractSeparableConvParams(s3, s4, 'conv3');\n const conv4 = extractSeparableConvParams(s4, s5, 'conv4');\n const conv5 = extractSeparableConvParams(s5, s6, 'conv5');\n const conv6 = s7 ? extractSeparableConvParams(s6, s7, 'conv6') : undefined;\n const conv7 = s8 ? extractSeparableConvParams(s7, s8, 'conv7') : undefined;\n const conv8 = extractConvParams(s8 || s7 || s6, 5 * boxEncodingSize, 1, 'conv8');\n params = {\n conv0, conv1, conv2, conv3, conv4, conv5, conv6, conv7, conv8,\n };\n } else {\n const [s0, s1, s2, s3, s4, s5, s6, s7, s8] = filterSizes;\n const conv0 = extractConvWithBatchNormParams(s0, s1, 'conv0');\n const conv1 = extractConvWithBatchNormParams(s1, s2, 'conv1');\n const conv2 = extractConvWithBatchNormParams(s2, s3, 'conv2');\n const conv3 = extractConvWithBatchNormParams(s3, s4, 'conv3');\n const conv4 = extractConvWithBatchNormParams(s4, s5, 'conv4');\n const conv5 = extractConvWithBatchNormParams(s5, s6, 'conv5');\n const conv6 = extractConvWithBatchNormParams(s6, s7, 'conv6');\n const conv7 = extractConvWithBatchNormParams(s7, s8, 'conv7');\n const conv8 = extractConvParams(s8, 5 * boxEncodingSize, 1, 'conv8');\n params = {\n conv0, conv1, conv2, conv3, conv4, conv5, conv6, conv7, conv8,\n };\n }\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n return { params, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams } from '../common/index';\nimport { disposeUnusedWeightTensors } from '../common/disposeUnusedWeightTensors';\nimport { loadSeparableConvParamsFactory } from '../common/extractSeparableConvParamsFactory';\nimport { extractWeightEntryFactory } from '../common/extractWeightEntryFactory';\nimport { ParamMapping } from '../common/types';\nimport { TinyYolov2Config } from './config';\nimport { BatchNorm, ConvWithBatchNorm, TinyYolov2NetParams } from './types';\n\nfunction extractorsFactory(weightMap: any, paramMappings: ParamMapping[]) {\n const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);\n\n function extractBatchNormParams(prefix: string): BatchNorm {\n const sub = extractWeightEntry(`${prefix}/sub`, 1);\n const truediv = extractWeightEntry(`${prefix}/truediv`, 1);\n return { sub, truediv };\n }\n\n function extractConvParams(prefix: string): ConvParams {\n const filters = extractWeightEntry(`${prefix}/filters`, 4);\n const bias = extractWeightEntry(`${prefix}/bias`, 1);\n return { filters, bias };\n }\n\n function extractConvWithBatchNormParams(prefix: string): ConvWithBatchNorm {\n const conv = extractConvParams(`${prefix}/conv`);\n const bn = extractBatchNormParams(`${prefix}/bn`);\n return { conv, bn };\n }\n\n const extractSeparableConvParams = loadSeparableConvParamsFactory(extractWeightEntry);\n return {\n extractConvParams,\n extractConvWithBatchNormParams,\n extractSeparableConvParams,\n };\n}\n\nexport function extractParamsFromWeightMap(\n weightMap: tf.NamedTensorMap,\n config: TinyYolov2Config,\n): { params: TinyYolov2NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractConvParams,\n extractConvWithBatchNormParams,\n extractSeparableConvParams,\n } = extractorsFactory(weightMap, paramMappings);\n\n let params: TinyYolov2NetParams;\n\n if (config.withSeparableConvs) {\n // eslint-disable-next-line no-mixed-operators\n const numFilters = (config.filterSizes && config.filterSizes.length || 9);\n params = {\n conv0: config.isFirstLayerConv2d ? extractConvParams('conv0') : extractSeparableConvParams('conv0'),\n conv1: extractSeparableConvParams('conv1'),\n conv2: extractSeparableConvParams('conv2'),\n conv3: extractSeparableConvParams('conv3'),\n conv4: extractSeparableConvParams('conv4'),\n conv5: extractSeparableConvParams('conv5'),\n conv6: numFilters > 7 ? extractSeparableConvParams('conv6') : undefined,\n conv7: numFilters > 8 ? extractSeparableConvParams('conv7') : undefined,\n conv8: extractConvParams('conv8'),\n };\n } else {\n params = {\n conv0: extractConvWithBatchNormParams('conv0'),\n conv1: extractConvWithBatchNormParams('conv1'),\n conv2: extractConvWithBatchNormParams('conv2'),\n conv3: extractConvWithBatchNormParams('conv3'),\n conv4: extractConvWithBatchNormParams('conv4'),\n conv5: extractConvWithBatchNormParams('conv5'),\n conv6: extractConvWithBatchNormParams('conv6'),\n conv7: extractConvWithBatchNormParams('conv7'),\n conv8: extractConvParams('conv8'),\n };\n }\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n return { params, paramMappings };\n}\n", "export interface ITinyYolov2Options {\n inputSize?: number\n scoreThreshold?: number\n}\n\nexport class TinyYolov2Options {\n protected _name = 'TinyYolov2Options';\n\n private _inputSize: number;\n\n private _scoreThreshold: number;\n\n constructor({ inputSize, scoreThreshold }: ITinyYolov2Options = {}) {\n this._inputSize = inputSize || 416;\n this._scoreThreshold = scoreThreshold || 0.5;\n\n if (typeof this._inputSize !== 'number' || this._inputSize % 32 !== 0) {\n throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);\n }\n\n if (typeof this._scoreThreshold !== 'number' || this._scoreThreshold <= 0 || this._scoreThreshold >= 1) {\n throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`);\n }\n }\n\n get inputSize(): number { return this._inputSize; }\n\n get scoreThreshold(): number { return this._scoreThreshold; }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { BoundingBox } from '../classes/BoundingBox';\nimport { Dimensions } from '../classes/Dimensions';\nimport { ObjectDetection } from '../classes/ObjectDetection';\nimport { convLayer } from '../common/index';\nimport { ConvParams, SeparableConvParams } from '../common/types';\nimport { toNetInput } from '../dom/index';\nimport { NetInput } from '../dom/NetInput';\nimport { TNetInput } from '../dom/types';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { sigmoid } from '../ops/index';\nimport { nonMaxSuppression } from '../ops/nonMaxSuppression';\nimport { normalize } from '../ops/normalize';\nimport { TinyYolov2Config, validateConfig } from './config';\nimport { convWithBatchNorm } from './convWithBatchNorm';\nimport { depthwiseSeparableConv } from './depthwiseSeparableConv';\nimport { extractParams } from './extractParams';\nimport { extractParamsFromWeightMap } from './extractParamsFromWeightMap';\nimport { leaky } from './leaky';\nimport { ITinyYolov2Options, TinyYolov2Options } from './TinyYolov2Options';\nimport { DefaultTinyYolov2NetParams, MobilenetParams, TinyYolov2NetParams } from './types';\n\nexport class TinyYolov2Base extends NeuralNetwork {\n public static DEFAULT_FILTER_SIZES = [3, 16, 32, 64, 128, 256, 512, 1024, 1024];\n\n private _config: TinyYolov2Config;\n\n constructor(config: TinyYolov2Config) {\n super('TinyYolov2');\n validateConfig(config);\n this._config = config;\n }\n\n public get config(): TinyYolov2Config {\n return this._config;\n }\n\n public get withClassScores(): boolean {\n return this.config.withClassScores || this.config.classes.length > 1;\n }\n\n public get boxEncodingSize(): number {\n return 5 + (this.withClassScores ? this.config.classes.length : 0);\n }\n\n public runTinyYolov2(x: tf.Tensor4D, params: DefaultTinyYolov2NetParams): tf.Tensor4D {\n let out = convWithBatchNorm(x, params.conv0);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = convWithBatchNorm(out, params.conv1);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = convWithBatchNorm(out, params.conv2);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = convWithBatchNorm(out, params.conv3);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = convWithBatchNorm(out, params.conv4);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = convWithBatchNorm(out, params.conv5);\n out = tf.maxPool(out, [2, 2], [1, 1], 'same');\n out = convWithBatchNorm(out, params.conv6);\n out = convWithBatchNorm(out, params.conv7);\n return convLayer(out, params.conv8, 'valid', false);\n }\n\n public runMobilenet(x: tf.Tensor4D, params: MobilenetParams): tf.Tensor4D {\n let out = this.config.isFirstLayerConv2d\n ? leaky(convLayer(x, params.conv0 as ConvParams, 'valid', false))\n : depthwiseSeparableConv(x, params.conv0 as SeparableConvParams);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = depthwiseSeparableConv(out, params.conv1);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = depthwiseSeparableConv(out, params.conv2);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = depthwiseSeparableConv(out, params.conv3);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = depthwiseSeparableConv(out, params.conv4);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = depthwiseSeparableConv(out, params.conv5);\n out = tf.maxPool(out, [2, 2], [1, 1], 'same');\n out = params.conv6 ? depthwiseSeparableConv(out, params.conv6) : out;\n out = params.conv7 ? depthwiseSeparableConv(out, params.conv7) : out;\n return convLayer(out, params.conv8, 'valid', false);\n }\n\n public forwardInput(input: NetInput, inputSize: number): tf.Tensor4D {\n const { params } = this;\n\n if (!params) {\n throw new Error('TinyYolov2 - load model before inference');\n }\n\n return tf.tidy(() => {\n let batchTensor = tf.cast(input.toBatchTensor(inputSize, false), 'float32');\n batchTensor = this.config.meanRgb\n ? normalize(batchTensor, this.config.meanRgb)\n : batchTensor;\n batchTensor = batchTensor.div(255) as tf.Tensor4D;\n return this.config.withSeparableConvs\n ? this.runMobilenet(batchTensor, params as MobilenetParams)\n : this.runTinyYolov2(batchTensor, params as DefaultTinyYolov2NetParams);\n });\n }\n\n public async forward(input: TNetInput, inputSize: number): Promise {\n return this.forwardInput(await toNetInput(input), inputSize);\n }\n\n public async detect(input: TNetInput, forwardParams: ITinyYolov2Options = {}): Promise {\n const { inputSize, scoreThreshold } = new TinyYolov2Options(forwardParams);\n const netInput = await toNetInput(input);\n const out = await this.forwardInput(netInput, inputSize);\n const out0 = tf.tidy(() => tf.unstack(out)[0].expandDims()) as tf.Tensor4D;\n const inputDimensions = {\n width: netInput.getInputWidth(0),\n height: netInput.getInputHeight(0),\n };\n\n const results = await this.extractBoxes(out0, netInput.getReshapedInputDimensions(0), scoreThreshold);\n out.dispose();\n out0.dispose();\n\n const boxes = results.map((res) => res.box);\n const scores = results.map((res) => res.score);\n const classScores = results.map((res) => res.classScore);\n const classNames = results.map((res) => this.config.classes[res.label]);\n\n const indices = nonMaxSuppression(\n boxes.map((box) => box.rescale(inputSize)),\n scores,\n this.config.iouThreshold,\n true,\n );\n\n const detections = indices.map((idx) => new ObjectDetection(\n scores[idx],\n classScores[idx],\n classNames[idx],\n boxes[idx],\n inputDimensions,\n ));\n return detections;\n }\n\n protected getDefaultModelName(): string {\n return '';\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n return extractParamsFromWeightMap(weightMap, this.config);\n }\n\n protected extractParams(weights: Float32Array) {\n const filterSizes = this.config.filterSizes || TinyYolov2Base.DEFAULT_FILTER_SIZES;\n\n const numFilters = filterSizes ? filterSizes.length : undefined;\n if (numFilters !== 7 && numFilters !== 8 && numFilters !== 9) {\n throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${numFilters} filterSizes in config`);\n }\n return extractParams(weights, this.config, this.boxEncodingSize, filterSizes);\n }\n\n protected async extractBoxes(\n outputTensor: tf.Tensor4D,\n inputBlobDimensions: Dimensions,\n scoreThreshold?: number,\n ) {\n const { width, height } = inputBlobDimensions;\n const inputSize = Math.max(width, height);\n const correctionFactorX = inputSize / width;\n const correctionFactorY = inputSize / height;\n\n const numCells = outputTensor.shape[1];\n const numBoxes = this.config.anchors.length;\n\n const [boxesTensor, scoresTensor, classScoresTensor] = tf.tidy(() => {\n const reshaped = outputTensor.reshape([numCells, numCells, numBoxes, this.boxEncodingSize]);\n\n const boxes = reshaped.slice([0, 0, 0, 0], [numCells, numCells, numBoxes, 4]);\n const scores = reshaped.slice([0, 0, 0, 4], [numCells, numCells, numBoxes, 1]);\n const classScores = this.withClassScores\n ? tf.softmax(reshaped.slice([0, 0, 0, 5], [numCells, numCells, numBoxes, this.config.classes.length]), 3)\n : tf.scalar(0);\n return [boxes, scores, classScores];\n });\n\n const results = [] as any;\n const scoresData = await scoresTensor.array();\n const boxesData = await boxesTensor.array();\n for (let row = 0; row < numCells; row++) {\n for (let col = 0; col < numCells; col++) {\n for (let anchor = 0; anchor < numBoxes; anchor++) {\n const score = sigmoid(scoresData[row][col][anchor][0]);\n if (!scoreThreshold || score > scoreThreshold) {\n const ctX = ((col + sigmoid(boxesData[row][col][anchor][0])) / numCells) * correctionFactorX;\n const ctY = ((row + sigmoid(boxesData[row][col][anchor][1])) / numCells) * correctionFactorY;\n const widthLocal = ((Math.exp(boxesData[row][col][anchor][2]) * this.config.anchors[anchor].x) / numCells) * correctionFactorX;\n const heightLocal = ((Math.exp(boxesData[row][col][anchor][3]) * this.config.anchors[anchor].y) / numCells) * correctionFactorY;\n const x = (ctX - (widthLocal / 2));\n const y = (ctY - (heightLocal / 2));\n const pos = { row, col, anchor };\n const { classScore, label } = this.withClassScores\n ? await this.extractPredictedClass(classScoresTensor as tf.Tensor4D, pos)\n : { classScore: 1, label: 0 };\n results.push({\n box: new BoundingBox(x, y, x + widthLocal, y + heightLocal),\n score,\n classScore: score * classScore,\n label,\n ...pos,\n });\n }\n }\n }\n }\n\n boxesTensor.dispose();\n scoresTensor.dispose();\n classScoresTensor.dispose();\n return results;\n }\n\n private async extractPredictedClass(classesTensor: tf.Tensor4D, pos: { row: number, col: number, anchor: number }) {\n const { row, col, anchor } = pos;\n const classesData = await classesTensor.array();\n return Array(this.config.classes.length).fill(0)\n .map((_, i) => classesData[row][col][anchor][i])\n .map((classScore, label) => ({\n classScore,\n label,\n }))\n .reduce((max, curr) => (max.classScore > curr.classScore ? max : curr));\n }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { FaceDetection, Point } from '../classes/index';\nimport { ParamMapping } from '../common/types';\nimport { TNetInput } from '../dom/types';\nimport {\n BOX_ANCHORS,\n BOX_ANCHORS_SEPARABLE,\n DEFAULT_MODEL_NAME,\n DEFAULT_MODEL_NAME_SEPARABLE_CONV,\n IOU_THRESHOLD,\n MEAN_RGB_SEPARABLE,\n} from './const';\nimport { TinyYolov2Base } from './TinyYolov2Base';\nimport { ITinyYolov2Options } from './TinyYolov2Options';\nimport { TinyYolov2NetParams } from './types';\n\nexport class TinyYolov2 extends TinyYolov2Base {\n constructor(withSeparableConvs = true) {\n const config = {\n withSeparableConvs,\n iouThreshold: IOU_THRESHOLD,\n classes: ['face'],\n ...(withSeparableConvs\n ? {\n anchors: BOX_ANCHORS_SEPARABLE,\n meanRgb: MEAN_RGB_SEPARABLE,\n }\n : {\n anchors: BOX_ANCHORS,\n withClassScores: true,\n }),\n };\n\n super(config);\n }\n\n public get withSeparableConvs(): boolean {\n return this.config.withSeparableConvs;\n }\n\n public get anchors(): Point[] {\n return this.config.anchors;\n }\n\n public async locateFaces(input: TNetInput, forwardParams: ITinyYolov2Options): Promise {\n const objectDetections = await this.detect(input, forwardParams);\n return objectDetections.map((det) => new FaceDetection(det.score, det.relativeBox, { width: det.imageWidth, height: det.imageHeight }));\n }\n\n protected override getDefaultModelName(): string {\n return this.withSeparableConvs ? DEFAULT_MODEL_NAME_SEPARABLE_CONV : DEFAULT_MODEL_NAME;\n }\n\n protected override extractParamsFromWeightMap(weightMap: tf.NamedTensorMap): { params: TinyYolov2NetParams, paramMappings: ParamMapping[] } {\n return super.extractParamsFromWeightMap(weightMap);\n }\n}\n", "import { TinyYolov2 } from './TinyYolov2';\n\nexport * from './TinyYolov2Options';\nexport * from './config';\nexport * from './types';\nexport { TinyYolov2 };\n\nexport function createTinyYolov2(weights: Float32Array, withSeparableConvs = true) {\n const net = new TinyYolov2(withSeparableConvs);\n net.extractWeights(weights);\n return net;\n}\n", "import { ITinyYolov2Options, TinyYolov2Options } from '../tinyYolov2/index';\n\nexport type ITinyFaceDetectorOptions = ITinyYolov2Options\n\nexport class TinyFaceDetectorOptions extends TinyYolov2Options {\n protected override _name = 'TinyFaceDetectorOptions';\n}\n", "export class ComposableTask {\n // eslint-disable-next-line no-unused-vars\n public async then(onfulfilled: (value: T) => T | PromiseLike): Promise {\n return onfulfilled(await this.run());\n }\n\n public async run(): Promise {\n throw new Error('ComposableTask - run is not implemented');\n }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { FaceDetection } from '../classes/FaceDetection';\nimport { extractFaces, extractFaceTensors, TNetInput } from '../dom/index';\nimport { WithFaceDetection } from '../factories/WithFaceDetection';\nimport { isWithFaceLandmarks, WithFaceLandmarks } from '../factories/WithFaceLandmarks';\n\nexport async function extractAllFacesAndComputeResults, TResult>(\n parentResults: TSource[],\n input: TNetInput,\n // eslint-disable-next-line no-unused-vars\n computeResults: (faces: Array) => Promise,\n extractedFaces?: Array | null,\n // eslint-disable-next-line no-unused-vars\n getRectForAlignment: (parentResult: WithFaceLandmarks) => FaceDetection = ({ alignedRect }) => alignedRect,\n) {\n const faceBoxes = parentResults.map((parentResult) => (isWithFaceLandmarks(parentResult)\n ? getRectForAlignment(parentResult)\n : parentResult.detection));\n const faces: Array = extractedFaces || (\n input instanceof tf.Tensor\n ? await extractFaceTensors(input, faceBoxes)\n : await extractFaces(input, faceBoxes)\n );\n const results = await computeResults(faces);\n faces.forEach((f) => f instanceof tf.Tensor && f.dispose());\n return results;\n}\n\nexport async function extractSingleFaceAndComputeResult, TResult>(\n parentResult: TSource,\n input: TNetInput,\n // eslint-disable-next-line no-unused-vars\n computeResult: (face: HTMLCanvasElement | tf.Tensor3D) => Promise,\n extractedFaces?: Array | null,\n // eslint-disable-next-line no-unused-vars\n getRectForAlignment?: (parentResultLocal: WithFaceLandmarks) => FaceDetection,\n) {\n return extractAllFacesAndComputeResults(\n [parentResult],\n input,\n async (faces) => computeResult(faces[0]),\n extractedFaces,\n getRectForAlignment,\n );\n}\n", "import { Point } from '../classes/index';\n\nexport const IOU_THRESHOLD = 0.4;\n\nexport const BOX_ANCHORS = [\n new Point(1.603231, 2.094468),\n new Point(6.041143, 7.080126),\n new Point(2.882459, 3.518061),\n new Point(4.266906, 5.178857),\n new Point(9.041765, 10.66308),\n];\n\nexport const MEAN_RGB: [number, number, number] = [117.001, 114.697, 97.404];\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { FaceDetection, Point } from '../classes/index';\nimport { ParamMapping } from '../common/index';\nimport { TNetInput } from '../dom/index';\nimport { ITinyYolov2Options } from '../tinyYolov2/index';\nimport { TinyYolov2Base } from '../tinyYolov2/TinyYolov2Base';\nimport { TinyYolov2NetParams } from '../tinyYolov2/types';\nimport { BOX_ANCHORS, IOU_THRESHOLD, MEAN_RGB } from './const';\n\nexport class TinyFaceDetector extends TinyYolov2Base {\n constructor() {\n const config = {\n withSeparableConvs: true,\n iouThreshold: IOU_THRESHOLD,\n classes: ['face'],\n anchors: BOX_ANCHORS,\n meanRgb: MEAN_RGB,\n isFirstLayerConv2d: true,\n filterSizes: [3, 16, 32, 64, 128, 256, 512],\n };\n\n super(config);\n }\n\n public get anchors(): Point[] {\n return this.config.anchors;\n }\n\n public async locateFaces(input: TNetInput, forwardParams: ITinyYolov2Options): Promise {\n const objectDetections = await this.detect(input, forwardParams);\n return objectDetections.map((det) => new FaceDetection(det.score, det.relativeBox, { width: det.imageWidth, height: det.imageHeight }));\n }\n\n protected override getDefaultModelName(): string {\n return 'tiny_face_detector_model';\n }\n\n protected override extractParamsFromWeightMap(weightMap: tf.NamedTensorMap): { params: TinyYolov2NetParams, paramMappings: ParamMapping[] } {\n return super.extractParamsFromWeightMap(weightMap);\n }\n}\n", "import { AgeGenderNet } from '../ageGenderNet/AgeGenderNet';\nimport { AgeAndGenderPrediction } from '../ageGenderNet/types';\nimport { FaceDetection } from '../classes/FaceDetection';\nimport { FaceLandmarks68 } from '../classes/FaceLandmarks68';\nimport { TNetInput } from '../dom/index';\nimport { FaceExpressionNet } from '../faceExpressionNet/FaceExpressionNet';\nimport { FaceExpressions } from '../faceExpressionNet/FaceExpressions';\nimport { FaceLandmark68Net } from '../faceLandmarkNet/FaceLandmark68Net';\nimport { FaceLandmark68TinyNet } from '../faceLandmarkNet/FaceLandmark68TinyNet';\nimport { FaceRecognitionNet } from '../faceRecognitionNet/FaceRecognitionNet';\nimport { SsdMobilenetv1 } from '../ssdMobilenetv1/SsdMobilenetv1';\nimport { SsdMobilenetv1Options } from '../ssdMobilenetv1/SsdMobilenetv1Options';\nimport { TinyFaceDetector } from '../tinyFaceDetector/TinyFaceDetector';\nimport { TinyFaceDetectorOptions } from '../tinyFaceDetector/TinyFaceDetectorOptions';\nimport { ITinyYolov2Options, TinyYolov2 } from '../tinyYolov2/index';\n\nexport const nets = {\n ssdMobilenetv1: new SsdMobilenetv1(),\n tinyFaceDetector: new TinyFaceDetector(),\n tinyYolov2: new TinyYolov2(),\n faceLandmark68Net: new FaceLandmark68Net(),\n faceLandmark68TinyNet: new FaceLandmark68TinyNet(),\n faceRecognitionNet: new FaceRecognitionNet(),\n faceExpressionNet: new FaceExpressionNet(),\n ageGenderNet: new AgeGenderNet(),\n};\n\n/**\n * Attempts to detect all faces in an image using SSD Mobilenetv1 Network.\n *\n * @param input The input image.\n * @param options (optional, default: see SsdMobilenetv1Options constructor for default parameters).\n * @returns Bounding box of each face with score.\n */\nexport const ssdMobilenetv1 = (input: TNetInput, options: SsdMobilenetv1Options): Promise => nets.ssdMobilenetv1.locateFaces(input, options);\n\n/**\n * Attempts to detect all faces in an image using the Tiny Face Detector.\n *\n * @param input The input image.\n * @param options (optional, default: see TinyFaceDetectorOptions constructor for default parameters).\n * @returns Bounding box of each face with score.\n */\nexport const tinyFaceDetector = (input: TNetInput, options: TinyFaceDetectorOptions): Promise => nets.tinyFaceDetector.locateFaces(input, options);\n\n/**\n * Attempts to detect all faces in an image using the Tiny Yolov2 Network.\n *\n * @param input The input image.\n * @param options (optional, default: see TinyYolov2Options constructor for default parameters).\n * @returns Bounding box of each face with score.\n */\nexport const tinyYolov2 = (input: TNetInput, options: ITinyYolov2Options): Promise => nets.tinyYolov2.locateFaces(input, options);\n\n/**\n * Detects the 68 point face landmark positions of the face shown in an image.\n *\n * @param inputs The face image extracted from the bounding box of a face. Can\n * also be an array of input images, which will be batch processed.\n * @returns 68 point face landmarks or array thereof in case of batch input.\n */\nexport const detectFaceLandmarks = (input: TNetInput): Promise => nets.faceLandmark68Net.detectLandmarks(input);\n\n/**\n * Detects the 68 point face landmark positions of the face shown in an image\n * using a tinier version of the 68 point face landmark model, which is slightly\n * faster at inference, but also slightly less accurate.\n *\n * @param inputs The face image extracted from the bounding box of a face. Can\n * also be an array of input images, which will be batch processed.\n * @returns 68 point face landmarks or array thereof in case of batch input.\n */\nexport const detectFaceLandmarksTiny = (input: TNetInput): Promise => nets.faceLandmark68TinyNet.detectLandmarks(input);\n\n/**\n * Computes a 128 entry vector (face descriptor / face embeddings) from the face shown in an image,\n * which uniquely represents the features of that persons face. The computed face descriptor can\n * be used to measure the similarity between faces, by computing the euclidean distance of two\n * face descriptors.\n *\n * @param inputs The face image extracted from the aligned bounding box of a face. Can\n * also be an array of input images, which will be batch processed.\n * @returns Face descriptor with 128 entries or array thereof in case of batch input.\n */\nexport const computeFaceDescriptor = (input: TNetInput): Promise => nets.faceRecognitionNet.computeFaceDescriptor(input);\n\n/**\n * Recognizes the facial expressions from a face image.\n *\n * @param inputs The face image extracted from the bounding box of a face. Can\n * also be an array of input images, which will be batch processed.\n * @returns Facial expressions with corresponding probabilities or array thereof in case of batch input.\n */\nexport const recognizeFaceExpressions = (input: TNetInput): Promise => nets.faceExpressionNet.predictExpressions(input);\n\n/**\n * Predicts age and gender from a face image.\n *\n * @param inputs The face image extracted from the bounding box of a face. Can\n * also be an array of input images, which will be batch processed.\n * @returns Predictions with age, gender and gender probability or array thereof in case of batch input.\n */\nexport const predictAgeAndGender = (input: TNetInput): Promise => nets.ageGenderNet.predictAgeAndGender(input);\n\nexport const loadSsdMobilenetv1Model = (url: string) => nets.ssdMobilenetv1.load(url);\nexport const loadTinyFaceDetectorModel = (url: string) => nets.tinyFaceDetector.load(url);\nexport const loadTinyYolov2Model = (url: string) => nets.tinyYolov2.load(url);\nexport const loadFaceLandmarkModel = (url: string) => nets.faceLandmark68Net.load(url);\nexport const loadFaceLandmarkTinyModel = (url: string) => nets.faceLandmark68TinyNet.load(url);\nexport const loadFaceRecognitionModel = (url: string) => nets.faceRecognitionNet.load(url);\nexport const loadFaceExpressionModel = (url: string) => nets.faceExpressionNet.load(url);\nexport const loadAgeGenderModel = (url: string) => nets.ageGenderNet.load(url);\n\n// backward compatibility\nexport const loadFaceDetectionModel = loadSsdMobilenetv1Model;\nexport const locateFaces = ssdMobilenetv1;\nexport const detectLandmarks = detectFaceLandmarks;\n", "/* eslint-disable max-classes-per-file */\nimport * as tf from '../../dist/tfjs.esm';\n\nimport { TNetInput } from '../dom/index';\nimport { FaceExpressions } from '../faceExpressionNet/FaceExpressions';\nimport { WithFaceDetection } from '../factories/WithFaceDetection';\nimport { extendWithFaceExpressions, WithFaceExpressions } from '../factories/WithFaceExpressions';\nimport { WithFaceLandmarks } from '../factories/WithFaceLandmarks';\nimport { ComposableTask } from './ComposableTask';\nimport { ComputeAllFaceDescriptorsTask, ComputeSingleFaceDescriptorTask } from './ComputeFaceDescriptorsTasks';\nimport { extractAllFacesAndComputeResults, extractSingleFaceAndComputeResult } from './extractFacesAndComputeResults';\nimport { nets } from './nets';\nimport { PredictAllAgeAndGenderTask, PredictAllAgeAndGenderWithFaceAlignmentTask, PredictSingleAgeAndGenderTask, PredictSingleAgeAndGenderWithFaceAlignmentTask } from './PredictAgeAndGenderTask';\n\nexport class PredictFaceExpressionsTaskBase extends ComposableTask {\n constructor(\n // eslint-disable-next-line no-unused-vars\n protected parentTask: ComposableTask | Promise,\n // eslint-disable-next-line no-unused-vars\n protected input: TNetInput,\n // eslint-disable-next-line no-unused-vars\n protected extractedFaces?: Array,\n ) {\n super();\n }\n}\n\nexport class PredictAllFaceExpressionsTask> extends PredictFaceExpressionsTaskBase[], TSource[]> {\n public override async run(): Promise[]> {\n const parentResults = await this.parentTask;\n\n const faceExpressionsByFace = await extractAllFacesAndComputeResults(\n parentResults,\n this.input,\n async (faces) => Promise.all(\n faces.map((face) => nets.faceExpressionNet.predictExpressions(face) as Promise),\n ),\n this.extractedFaces,\n );\n\n return parentResults.map(\n (parentResult, i) => extendWithFaceExpressions(parentResult, faceExpressionsByFace[i]),\n );\n }\n\n withAgeAndGender() {\n return new PredictAllAgeAndGenderTask(this, this.input);\n }\n}\n\nexport class PredictSingleFaceExpressionsTask> extends PredictFaceExpressionsTaskBase | undefined, TSource | undefined> {\n public override async run(): Promise | undefined> {\n const parentResult = await this.parentTask;\n if (!parentResult) {\n return undefined;\n }\n\n const faceExpressions = await extractSingleFaceAndComputeResult(\n parentResult,\n this.input,\n (face) => nets.faceExpressionNet.predictExpressions(face) as Promise,\n this.extractedFaces,\n );\n\n return extendWithFaceExpressions(parentResult, faceExpressions);\n }\n\n withAgeAndGender() {\n return new PredictSingleAgeAndGenderTask(this, this.input);\n }\n}\n\nexport class PredictAllFaceExpressionsWithFaceAlignmentTask>> extends PredictAllFaceExpressionsTask {\n override withAgeAndGender() {\n return new PredictAllAgeAndGenderWithFaceAlignmentTask(this, this.input);\n }\n\n withFaceDescriptors() {\n return new ComputeAllFaceDescriptorsTask(this, this.input);\n }\n}\n\nexport class PredictSingleFaceExpressionsWithFaceAlignmentTask>> extends PredictSingleFaceExpressionsTask {\n override withAgeAndGender() {\n return new PredictSingleAgeAndGenderWithFaceAlignmentTask(this, this.input);\n }\n\n withFaceDescriptor() {\n return new ComputeSingleFaceDescriptorTask(this, this.input);\n }\n}\n", "/* eslint-disable max-classes-per-file */\nimport * as tf from '../../dist/tfjs.esm';\n\nimport { AgeAndGenderPrediction } from '../ageGenderNet/types';\nimport { TNetInput } from '../dom/index';\nimport { extendWithAge, WithAge } from '../factories/WithAge';\nimport { WithFaceDetection } from '../factories/WithFaceDetection';\nimport { WithFaceLandmarks } from '../factories/WithFaceLandmarks';\nimport { extendWithGender, WithGender } from '../factories/WithGender';\nimport { ComposableTask } from './ComposableTask';\nimport { ComputeAllFaceDescriptorsTask, ComputeSingleFaceDescriptorTask } from './ComputeFaceDescriptorsTasks';\nimport { extractAllFacesAndComputeResults, extractSingleFaceAndComputeResult } from './extractFacesAndComputeResults';\nimport { nets } from './nets';\nimport { PredictAllFaceExpressionsTask, PredictAllFaceExpressionsWithFaceAlignmentTask, PredictSingleFaceExpressionsTask, PredictSingleFaceExpressionsWithFaceAlignmentTask } from './PredictFaceExpressionsTask';\n\nexport class PredictAgeAndGenderTaskBase extends ComposableTask {\n constructor(\n // eslint-disable-next-line no-unused-vars\n protected parentTask: ComposableTask | Promise,\n // eslint-disable-next-line no-unused-vars\n protected input: TNetInput,\n // eslint-disable-next-line no-unused-vars\n protected extractedFaces?: Array,\n ) {\n super();\n }\n}\n\nexport class PredictAllAgeAndGenderTask> extends PredictAgeAndGenderTaskBase>[], TSource[]> {\n public override async run(): Promise>[]> {\n const parentResults = await this.parentTask;\n const ageAndGenderByFace = await extractAllFacesAndComputeResults(\n parentResults,\n this.input,\n async (faces) => Promise.all(faces.map((face) => nets.ageGenderNet.predictAgeAndGender(face) as Promise)),\n this.extractedFaces,\n );\n return parentResults.map((parentResult, i) => {\n const { age, gender, genderProbability } = ageAndGenderByFace[i];\n return extendWithAge(extendWithGender(parentResult, gender, genderProbability), age);\n });\n }\n\n withFaceExpressions() {\n return new PredictAllFaceExpressionsTask(this, this.input);\n }\n}\n\nexport class PredictSingleAgeAndGenderTask> extends PredictAgeAndGenderTaskBase> | undefined, TSource | undefined> {\n public override async run(): Promise> | undefined> {\n const parentResult = await this.parentTask;\n if (!parentResult) return undefined;\n const { age, gender, genderProbability } = await extractSingleFaceAndComputeResult(\n parentResult,\n this.input,\n (face) => nets.ageGenderNet.predictAgeAndGender(face) as Promise,\n this.extractedFaces,\n );\n return extendWithAge(extendWithGender(parentResult, gender, genderProbability), age);\n }\n\n withFaceExpressions() {\n return new PredictSingleFaceExpressionsTask(this, this.input);\n }\n}\n\nexport class PredictAllAgeAndGenderWithFaceAlignmentTask>> extends PredictAllAgeAndGenderTask {\n override withFaceExpressions() {\n return new PredictAllFaceExpressionsWithFaceAlignmentTask(this, this.input);\n }\n\n withFaceDescriptors() {\n return new ComputeAllFaceDescriptorsTask(this, this.input);\n }\n}\n\nexport class PredictSingleAgeAndGenderWithFaceAlignmentTask>> extends PredictSingleAgeAndGenderTask {\n override withFaceExpressions() {\n return new PredictSingleFaceExpressionsWithFaceAlignmentTask(this, this.input);\n }\n\n withFaceDescriptor() {\n return new ComputeSingleFaceDescriptorTask(this, this.input);\n }\n}\n", "/* eslint-disable max-classes-per-file */\nimport { TNetInput } from '../dom/index';\nimport { extendWithFaceDescriptor, WithFaceDescriptor } from '../factories/WithFaceDescriptor';\nimport { WithFaceDetection } from '../factories/WithFaceDetection';\nimport { WithFaceLandmarks } from '../factories/WithFaceLandmarks';\nimport { ComposableTask } from './ComposableTask';\nimport { extractAllFacesAndComputeResults, extractSingleFaceAndComputeResult } from './extractFacesAndComputeResults';\nimport { nets } from './nets';\nimport { PredictAllAgeAndGenderWithFaceAlignmentTask, PredictSingleAgeAndGenderWithFaceAlignmentTask } from './PredictAgeAndGenderTask';\nimport { PredictAllFaceExpressionsWithFaceAlignmentTask, PredictSingleFaceExpressionsWithFaceAlignmentTask } from './PredictFaceExpressionsTask';\n\nexport class ComputeFaceDescriptorsTaskBase extends ComposableTask {\n constructor(\n // eslint-disable-next-line no-unused-vars\n protected parentTask: ComposableTask | Promise,\n // eslint-disable-next-line no-unused-vars\n protected input: TNetInput,\n ) {\n super();\n }\n}\n\nexport class ComputeAllFaceDescriptorsTask>> extends ComputeFaceDescriptorsTaskBase[], TSource[]> {\n public override async run(): Promise[]> {\n const parentResults = await this.parentTask;\n const descriptors = await extractAllFacesAndComputeResults(\n parentResults,\n this.input,\n (faces) => Promise.all(faces.map((face) => nets.faceRecognitionNet.computeFaceDescriptor(face) as Promise)),\n null,\n (parentResult) => parentResult.landmarks.align(null, { useDlibAlignment: true }),\n );\n return descriptors.map((descriptor, i) => extendWithFaceDescriptor(parentResults[i], descriptor));\n }\n\n withFaceExpressions() {\n return new PredictAllFaceExpressionsWithFaceAlignmentTask(this, this.input);\n }\n\n withAgeAndGender() {\n return new PredictAllAgeAndGenderWithFaceAlignmentTask(this, this.input);\n }\n}\n\nexport class ComputeSingleFaceDescriptorTask>> extends ComputeFaceDescriptorsTaskBase | undefined, TSource | undefined> {\n public override async run(): Promise | undefined> {\n const parentResult = await this.parentTask;\n if (!parentResult) return undefined;\n const descriptor = await extractSingleFaceAndComputeResult(\n parentResult,\n this.input,\n (face) => nets.faceRecognitionNet.computeFaceDescriptor(face) as Promise,\n null,\n // eslint-disable-next-line no-shadow, @typescript-eslint/no-shadow\n (parentResult) => parentResult.landmarks.align(null, { useDlibAlignment: true }),\n );\n return extendWithFaceDescriptor(parentResult, descriptor);\n }\n\n withFaceExpressions() {\n return new PredictSingleFaceExpressionsWithFaceAlignmentTask(this, this.input);\n }\n\n withAgeAndGender() {\n return new PredictSingleAgeAndGenderWithFaceAlignmentTask(this, this.input);\n }\n}\n", "/* eslint-disable max-classes-per-file */\nimport * as tf from '../../dist/tfjs.esm';\n\nimport { FaceLandmarks68 } from '../classes/FaceLandmarks68';\nimport { extractFaces, extractFaceTensors, TNetInput } from '../dom/index';\nimport { FaceLandmark68Net } from '../faceLandmarkNet/FaceLandmark68Net';\nimport { FaceLandmark68TinyNet } from '../faceLandmarkNet/FaceLandmark68TinyNet';\nimport { WithFaceDetection } from '../factories/WithFaceDetection';\nimport { extendWithFaceLandmarks, WithFaceLandmarks } from '../factories/WithFaceLandmarks';\nimport { ComposableTask } from './ComposableTask';\nimport { ComputeAllFaceDescriptorsTask, ComputeSingleFaceDescriptorTask } from './ComputeFaceDescriptorsTasks';\nimport { nets } from './nets';\nimport { PredictAllAgeAndGenderWithFaceAlignmentTask, PredictSingleAgeAndGenderWithFaceAlignmentTask } from './PredictAgeAndGenderTask';\nimport { PredictAllFaceExpressionsWithFaceAlignmentTask, PredictSingleFaceExpressionsWithFaceAlignmentTask } from './PredictFaceExpressionsTask';\n\nexport class DetectFaceLandmarksTaskBase extends ComposableTask {\n constructor(\n // eslint-disable-next-line no-unused-vars\n protected parentTask: ComposableTask | Promise,\n // eslint-disable-next-line no-unused-vars\n protected input: TNetInput,\n // eslint-disable-next-line no-unused-vars\n protected useTinyLandmarkNet: boolean,\n ) {\n super();\n }\n\n protected get landmarkNet(): FaceLandmark68Net | FaceLandmark68TinyNet {\n return this.useTinyLandmarkNet\n ? nets.faceLandmark68TinyNet\n : nets.faceLandmark68Net;\n }\n}\n\nexport class DetectAllFaceLandmarksTask> extends DetectFaceLandmarksTaskBase[], TSource[]> {\n public override async run(): Promise[]> {\n const parentResults = await this.parentTask;\n const detections = parentResults.map((res) => res.detection);\n const faces: Array = this.input instanceof tf.Tensor\n ? await extractFaceTensors(this.input, detections)\n : await extractFaces(this.input, detections);\n const faceLandmarksByFace = await Promise.all(faces.map((face) => this.landmarkNet.detectLandmarks(face))) as FaceLandmarks68[];\n faces.forEach((f) => f instanceof tf.Tensor && f.dispose());\n const result = parentResults\n .filter((_parentResult, i) => faceLandmarksByFace[i])\n .map((parentResult, i) => extendWithFaceLandmarks(parentResult, faceLandmarksByFace[i]));\n return result;\n }\n\n withFaceExpressions() {\n return new PredictAllFaceExpressionsWithFaceAlignmentTask(this, this.input);\n }\n\n withAgeAndGender() {\n return new PredictAllAgeAndGenderWithFaceAlignmentTask(this, this.input);\n }\n\n withFaceDescriptors() {\n return new ComputeAllFaceDescriptorsTask(this, this.input);\n }\n}\n\nexport class DetectSingleFaceLandmarksTask> extends DetectFaceLandmarksTaskBase | undefined, TSource | undefined> {\n public override async run(): Promise | undefined> {\n const parentResult = await this.parentTask;\n if (!parentResult) {\n return undefined;\n }\n const { detection } = parentResult;\n const faces: Array = this.input instanceof tf.Tensor\n ? await extractFaceTensors(this.input, [detection])\n : await extractFaces(this.input, [detection]);\n const landmarks = await this.landmarkNet.detectLandmarks(faces[0]) as FaceLandmarks68;\n faces.forEach((f) => f instanceof tf.Tensor && f.dispose());\n return extendWithFaceLandmarks(parentResult, landmarks);\n }\n\n withFaceExpressions() {\n return new PredictSingleFaceExpressionsWithFaceAlignmentTask(this, this.input);\n }\n\n withAgeAndGender() {\n return new PredictSingleAgeAndGenderWithFaceAlignmentTask(this, this.input);\n }\n\n withFaceDescriptor() {\n return new ComputeSingleFaceDescriptorTask(this, this.input);\n }\n}\n", "/* eslint-disable max-classes-per-file */\nimport { FaceDetection } from '../classes/FaceDetection';\nimport { TNetInput } from '../dom/index';\nimport { extendWithFaceDetection, WithFaceDetection } from '../factories/WithFaceDetection';\nimport { SsdMobilenetv1Options } from '../ssdMobilenetv1/SsdMobilenetv1Options';\nimport { TinyFaceDetectorOptions } from '../tinyFaceDetector/TinyFaceDetectorOptions';\nimport { TinyYolov2Options } from '../tinyYolov2/index';\nimport { ComposableTask } from './ComposableTask';\nimport { DetectAllFaceLandmarksTask, DetectSingleFaceLandmarksTask } from './DetectFaceLandmarksTasks';\nimport { nets } from './nets';\nimport { PredictAllAgeAndGenderTask, PredictSingleAgeAndGenderTask } from './PredictAgeAndGenderTask';\nimport { PredictAllFaceExpressionsTask, PredictSingleFaceExpressionsTask } from './PredictFaceExpressionsTask';\nimport { FaceDetectionOptions } from './types';\n\nexport class DetectFacesTaskBase extends ComposableTask {\n // eslint-disable-next-line no-unused-vars\n constructor(protected input: TNetInput, protected options: FaceDetectionOptions = new SsdMobilenetv1Options()) {\n super();\n }\n}\n\nexport class DetectAllFacesTask extends DetectFacesTaskBase {\n public override async run(): Promise {\n const { input, options } = this;\n let result;\n if (options instanceof TinyFaceDetectorOptions) result = nets.tinyFaceDetector.locateFaces(input, options);\n else if (options instanceof SsdMobilenetv1Options) result = nets.ssdMobilenetv1.locateFaces(input, options);\n else if (options instanceof TinyYolov2Options) result = nets.tinyYolov2.locateFaces(input, options);\n else throw new Error('detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | TinyYolov2Options');\n return result;\n }\n\n private runAndExtendWithFaceDetections(): Promise[]> {\n return new Promise[]>((resolve, reject) => {\n this.run()\n .then((detections) => resolve(detections.map((detection) => extendWithFaceDetection({}, detection))))\n .catch((err) => reject(err));\n });\n }\n\n withFaceLandmarks(useTinyLandmarkNet = false) {\n return new DetectAllFaceLandmarksTask(\n this.runAndExtendWithFaceDetections(),\n this.input,\n useTinyLandmarkNet,\n );\n }\n\n withFaceExpressions() {\n return new PredictAllFaceExpressionsTask(\n this.runAndExtendWithFaceDetections(),\n this.input,\n );\n }\n\n withAgeAndGender() {\n return new PredictAllAgeAndGenderTask(\n this.runAndExtendWithFaceDetections(),\n this.input,\n );\n }\n}\n\nexport class DetectSingleFaceTask extends DetectFacesTaskBase {\n public override async run(): Promise {\n const faceDetections = await new DetectAllFacesTask(this.input, this.options);\n let faceDetectionWithHighestScore = faceDetections[0];\n faceDetections.forEach((faceDetection) => {\n if (faceDetection.score > faceDetectionWithHighestScore.score) faceDetectionWithHighestScore = faceDetection;\n });\n return faceDetectionWithHighestScore;\n }\n\n private runAndExtendWithFaceDetection(): Promise | undefined> {\n // eslint-disable-next-line no-async-promise-executor\n return new Promise | undefined>(async (resolve) => {\n const detection = await this.run();\n resolve(detection ? extendWithFaceDetection<{}>({}, detection) : undefined);\n });\n }\n\n withFaceLandmarks(useTinyLandmarkNet = false) {\n return new DetectSingleFaceLandmarksTask(\n this.runAndExtendWithFaceDetection(),\n this.input,\n useTinyLandmarkNet,\n );\n }\n\n withFaceExpressions() {\n return new PredictSingleFaceExpressionsTask(\n this.runAndExtendWithFaceDetection(),\n this.input,\n );\n }\n\n withAgeAndGender() {\n return new PredictSingleAgeAndGenderTask(\n this.runAndExtendWithFaceDetection(),\n this.input,\n );\n }\n}\n", "import { TNetInput } from '../dom/index';\nimport { SsdMobilenetv1Options } from '../ssdMobilenetv1/SsdMobilenetv1Options';\nimport { DetectAllFacesTask, DetectSingleFaceTask } from './DetectFacesTasks';\nimport { FaceDetectionOptions } from './types';\n\nexport function detectSingleFace(input: TNetInput, options: FaceDetectionOptions = new SsdMobilenetv1Options()): DetectSingleFaceTask {\n return new DetectSingleFaceTask(input, options);\n}\n\nexport function detectAllFaces(input: TNetInput, options: FaceDetectionOptions = new SsdMobilenetv1Options()): DetectAllFacesTask {\n return new DetectAllFacesTask(input, options);\n}\n", "import { TNetInput } from '../dom/index';\nimport { WithFaceDescriptor, WithFaceDetection, WithFaceLandmarks } from '../factories/index';\nimport { SsdMobilenetv1Options } from '../ssdMobilenetv1/index';\nimport { ITinyYolov2Options, TinyYolov2Options } from '../tinyYolov2/index';\nimport { detectAllFaces } from './detectFaces';\n\nexport async function allFacesSsdMobilenetv1(input: TNetInput, minConfidence?: number): Promise>>[]> {\n return detectAllFaces(input, new SsdMobilenetv1Options(minConfidence ? { minConfidence } : {}))\n .withFaceLandmarks()\n .withFaceDescriptors();\n}\n\nexport async function allFacesTinyYolov2(input: TNetInput, forwardParams: ITinyYolov2Options = {}): Promise>>[]> {\n return detectAllFaces(input, new TinyYolov2Options(forwardParams))\n .withFaceLandmarks()\n .withFaceDescriptors();\n}\n\nexport const allFaces = allFacesSsdMobilenetv1;\n", "export function euclideanDistance(arr1: number[] | Float32Array, arr2: number[] | Float32Array) {\n if (arr1.length !== arr2.length) throw new Error('euclideanDistance: arr1.length !== arr2.length');\n const desc1 = Array.from(arr1);\n const desc2 = Array.from(arr2);\n return Math.sqrt(\n desc1\n .map((val, i) => val - desc2[i])\n .reduce((res, diff) => res + (diff * diff), 0),\n );\n}\n", "import { FaceMatch } from '../classes/FaceMatch';\nimport { LabeledFaceDescriptors } from '../classes/LabeledFaceDescriptors';\nimport { euclideanDistance } from '../euclideanDistance';\nimport { WithFaceDescriptor } from '../factories/index';\n\nexport class FaceMatcher {\n private _labeledDescriptors: LabeledFaceDescriptors[];\n private _distanceThreshold: number;\n\n constructor(inputs: LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>, distanceThreshold = 0.6) {\n this._distanceThreshold = distanceThreshold;\n const inputArray = Array.isArray(inputs) ? inputs : [inputs];\n if (!inputArray.length) throw new Error('FaceRecognizer.constructor - expected atleast one input');\n let count = 1;\n const createUniqueLabel = () => `person ${count++}`;\n this._labeledDescriptors = inputArray.map((desc) => {\n if (desc instanceof LabeledFaceDescriptors) return desc;\n if (desc instanceof Float32Array) return new LabeledFaceDescriptors(createUniqueLabel(), [desc]);\n if (desc.descriptor && desc.descriptor instanceof Float32Array) return new LabeledFaceDescriptors(createUniqueLabel(), [desc.descriptor]);\n throw new Error('FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>');\n });\n }\n\n public get labeledDescriptors(): LabeledFaceDescriptors[] { return this._labeledDescriptors; }\n\n public get distanceThreshold(): number { return this._distanceThreshold; }\n\n public computeMeanDistance(queryDescriptor: Float32Array, descriptors: Float32Array[]): number {\n return descriptors\n .map((d) => euclideanDistance(d, queryDescriptor))\n .reduce((d1, d2) => d1 + d2, 0) / (descriptors.length || 1);\n }\n\n public matchDescriptor(queryDescriptor: Float32Array): FaceMatch {\n return this.labeledDescriptors\n .map(({ descriptors, label }) => new FaceMatch(label, this.computeMeanDistance(queryDescriptor, descriptors)))\n .reduce((best, curr) => (best.distance < curr.distance ? best : curr));\n }\n\n public findBestMatch(queryDescriptor: Float32Array): FaceMatch {\n const bestMatch = this.matchDescriptor(queryDescriptor);\n return (bestMatch.distance < this._distanceThreshold) ? bestMatch : new FaceMatch('unknown', bestMatch.distance);\n }\n\n public toJSON(): any {\n return {\n distanceThreshold: this._distanceThreshold,\n labeledDescriptors: this._labeledDescriptors.map((ld) => ld.toJSON()),\n };\n }\n\n public static fromJSON(json: any): FaceMatcher {\n const labeledDescriptors = json.labeledDescriptors.map((ld: any) => LabeledFaceDescriptors.fromJSON(ld));\n return new FaceMatcher(labeledDescriptors, json.distanceThreshold);\n }\n}\n", "import { TinyFaceDetector } from './TinyFaceDetector';\n\nexport * from './TinyFaceDetector';\nexport * from './TinyFaceDetectorOptions';\n\nexport function createTinyFaceDetector(weights: Float32Array) {\n const net = new TinyFaceDetector();\n net.extractWeights(weights);\n return net;\n}\n", "import { Dimensions, IDimensions } from './classes/index';\nimport { FaceDetection } from './classes/FaceDetection';\nimport { FaceLandmarks } from './classes/FaceLandmarks';\nimport { extendWithFaceDetection, isWithFaceDetection } from './factories/WithFaceDetection';\nimport { extendWithFaceLandmarks, isWithFaceLandmarks } from './factories/WithFaceLandmarks';\n\nexport function resizeResults(results: T, dimensions: IDimensions): T {\n const { width, height } = new Dimensions(dimensions.width, dimensions.height);\n\n if (width <= 0 || height <= 0) {\n throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({ width, height })}`);\n }\n\n if (Array.isArray(results)) {\n // return results.map(obj => resizeResults(obj, { width, height })) as any as T\n return (results as Array).map((obj) => resizeResults(obj, { width, height } as IDimensions)) as any as T;\n }\n\n if (isWithFaceLandmarks(results)) {\n const resizedDetection = results.detection.forSize(width, height);\n const resizedLandmarks = results.unshiftedLandmarks.forSize(resizedDetection.box.width, resizedDetection.box.height);\n return extendWithFaceLandmarks(extendWithFaceDetection(results, resizedDetection), resizedLandmarks);\n }\n\n if (isWithFaceDetection(results)) {\n return extendWithFaceDetection(results, results.detection.forSize(width, height));\n }\n\n if (results instanceof FaceLandmarks || results instanceof FaceDetection) {\n return (results as any).forSize(width, height);\n }\n\n return results;\n}\n", "import * as tf from '../dist/tfjs.esm';\nimport * as draw from './draw/index';\nimport * as utils from './utils/index';\nimport * as pkg from '../package.json';\n\nexport { tf, draw, utils };\n\nexport * from './ageGenderNet/index';\nexport * from './classes/index';\nexport * from './dom/index';\nexport * from './env/index';\nexport * from './faceExpressionNet/index';\nexport * from './faceLandmarkNet/index';\nexport * from './faceRecognitionNet/index';\nexport * from './factories/index';\nexport * from './globalApi/index';\nexport * from './ops/index';\nexport * from './ssdMobilenetv1/index';\nexport * from './tinyFaceDetector/index';\nexport * from './tinyYolov2/index';\nexport * from './euclideanDistance';\nexport * from './NeuralNetwork';\nexport * from './resizeResults';\n\nexport const version = pkg.version as string;\n\n// set webgl defaults\n// if (browser) tf.ENV.set('WEBGL_USE_SHAPES_UNIFORMS', true);\n"], + "mappings": ";;;;;;+XAAA,IAAAA,GAAA,GAAAC,GAAAD,GAAA,SAAAE,GAAA,SAAAC,GAAA,UAAAC,GAAA,sBAAAC,GAAA,qBAAAC,GAAA,kBAAAC,GAAA,oBAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,QAAAC,GAAA,QAAAC,GAAA,WAAAC,GAAA,WAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,YAAAC,GAAA,cAAAC,GAAA,kBAAAC,GAAA,gBAAAC,GAAA,gBAAAC,GAAA,gBAAAC,GAAA,mBAAAC,GAAA,aAAAC,GAAA,kBAAAC,GAAA,gBAAAC,GAAA,aAAAC,GAAA,iBAAAC,GAAA,SAAAC,GAAA,SAAAC,GAAA,gBAAAC,GAAA,YAAAC,GAAA,eAAAC,GAAA,WAAAC,GAAA,WAAAC,GAAA,yBAAAC,GAAA,wBAAAC,GAAA,WAAAC,GAAA,2BAAAC,GAAA,0BAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,kBAAAC,GAAA,YAAAC,GAAA,WAAAC,GAAA,mBAAAC,GAAA,gBAAAC,GAAA,kBAAAC,GAAA,iBAAAC,GAAA,0BAAAC,GAAA,wCAAAC,GAAA,uCAAAC,GAAA,SAAAC,GAAA,eAAAC,GAAA,6BAAAC,GAAA,4BAAAC,GAAA,QAAAC,GAAA,kBAAAC,GAAA,WAAAC,GAAA,QAAAC,GAAA,YAAAC,GAAA,gBAAAC,GAAA,UAAAC,GAAA,QAAAC,GAAA,QAAAC,GAAA,eAAAC,GAAA,UAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,kBAAAC,GAAA,UAAAC,GAAA,aAAAC,GAAA,eAAAC,GAAA,mBAAAC,GAAA,gBAAAC,GAAA,yBAAAC,GAAA,iBAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,eAAAC,GAAA,YAAAC,GAAA,iBAAAC,GAAA,YAAAC,GAAA,SAAAC,GAAA,aAAAC,GAAA,SAAAC,GAAA,cAAAC,GAAA,aAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,kBAAAC,GAAA,QAAAC,GAAA,YAAAC,GAAA,kBAAAC,GAAA,gBAAAC,GAAA,cAAAC,GAAA,SAAAC,GAAA,cAAAC,GAAA,aAAAC,GAAA,QAAAC,GAAA,UAAAC,GAAA,eAAAC,GAAA,eAAAC,GAAA,eAAAC,GAAA,cAAAC,GAAA,eAAAC,GAAA,eAAAC,GAAA,qBAAAC,GAAA,QAAAC,GAAA,YAAAC,GAAA,cAAAC,GAAA,kBAAAC,GAAA,gBAAAC,GAAA,sBAAAC,GAAA,YAAAC,GAAA,SAAAC,GAAA,QAAAC,GAAA,YAAAC,GAAA,cAAAC,GAAA,QAAAC,GAAA,sBAAAC,GAAA,gBAAAC,GAAA,aAAAC,GAAA,QAAAC,GAAA,wBAAAC,GAAA,wBAAAC,GAAA,wBAAAC,GAAA,aAAAC,GAAA,oBAAAC,GAAA,WAAAC,GAAA,aAAAC,GAAA,cAAAC,GAAA,0BAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,QAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,qBAAAC,GAAA,QAAAC,GAAA,iBAAAC,GAAA,gBAAAC,GAAA,yBAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,SAAAC,GAAA,YAAAC,GAAA,eAAAC,GAAA,cAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,YAAAC,GAAA,mBAAAC,GAAA,uBAAAC,GAAA,0BAAAC,GAAA,8BAAAC,GAAA,YAAAC,GAAA,qBAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,iBAAAC,GAAA,cAAAC,GAAA,iBAAAC,GAAA,WAAAC,GAAA,SAAAC,GAAA,eAAAC,GAAA,YAAAC,GAAA,SAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,YAAAC,GAAA,aAAAC,GAAA,mBAAAC,GAAA,wBAAAC,GAAA,kBAAAC,GAAA,sBAAAC,GAAA,qBAAAC,GAAA,kBAAAC,GAAA,WAAAC,GAAA,SAAAC,GAAA,WAAAC,GAAA,sBAAAC,GAAA,SAAAC,GAAA,iBAAAC,GAAA,iBAAAC,GAAA,gBAAAC,GAAA,2BAAAC,GAAA,QAAAC,GAAA,QAAAC,GAAA,mBAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,WAAAC,GAAA,iBAAAC,GAAA,SAAAC,GAAA,SAAAC,GAAA,cAAAC,GAAA,cAAAC,GAAA,WAAAC,GAAA,WAAAC,GAAA,uBAAAC,GAAA,eAAAC,GAAA,aAAAC,GAAA,cAAAC,GAAA,iBAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,QAAAC,EAAA,SAAAC,GAAA,QAAAC,GAAA,QAAAC,GAAA,WAAAC,GAAA,WAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,YAAAC,GAAA,cAAAC,GAAA,YAAAC,GAAA,iBAAAC,EAAA,kBAAAC,GAAA,cAAAC,GAAA,gBAAAC,GAAA,gBAAAC,GAAA,gBAAAC,GAAA,mBAAAC,GAAA,aAAAC,GAAA,qBAAAC,GAAA,kBAAAC,GAAA,gBAAAC,GAAA,mBAAAC,GAAA,YAAAC,GAAA,WAAAC,GAAA,cAAAC,GAAA,SAAAC,GAAA,SAAAC,GAAA,gBAAAC,GAAA,UAAAC,GAAA,YAAAC,GAAA,WAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,gBAAAC,GAAA,WAAAC,GAAA,WAAAC,GAAA,oBAAAC,GAAA,WAAAC,GAAA,oBAAAC,GAAA,0BAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,iBAAAC,GAAA,YAAAC,GAAA,WAAAC,GAAA,eAAAC,GAAA,SAAAC,GAAA,kBAAAC,GAAA,oBAAAC,GAAA,iBAAAC,GAAA,oBAAAC,GAAA,iBAAAC,GAAA,gBAAAC,GAAA,SAAAC,GAAA,eAAAC,GAAA,+BAAAC,GAAA,YAAAC,GAAA,qBAAAC,GAAA,QAAAC,GAAA,aAAAC,GAAA,QAAAC,GAAA,YAAAC,GAAA,WAAAC,GAAA,QAAAC,GAAA,oBAAAC,GAAA,mBAAAC,GAAA,wBAAAC,GAAA,WAAAC,GAAA,QAAAC,EAAA,UAAAC,GAAA,QAAAC,GAAA,kBAAAC,GAAA,QAAAC,GAAA,eAAAC,GAAA,UAAAC,GAAA,QAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,gBAAAC,GAAA,uBAAAC,GAAA,UAAAC,GAAA,aAAAC,GAAA,mBAAAC,GAAA,UAAAC,GAAA,WAAAC,GAAA,aAAAC,GAAA,gBAAAC,GAAA,eAAAC,GAAA,gBAAAC,GAAA,cAAAC,GAAA,yBAAAC,GAAA,oBAAAC,IAAA,eAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,YAAAC,GAAA,iBAAAC,GAAA,SAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,gBAAAC,GAAA,iBAAAC,GAAA,UAAAC,GAAA,OAAAC,GAAA,UAAAC,GAAA,aAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,iBAAAC,GAAA,WAAAC,GAAA,cAAAC,GAAA,SAAAC,GAAA,cAAAC,GAAA,WAAAC,GAAA,aAAAC,GAAA,mBAAAC,GAAA,uBAAAC,GAAA,oBAAAC,GAAA,+BAAAC,GAAA,QAAAC,GAAA,UAAAC,GAAA,eAAAC,GAAA,eAAAC,GAAA,cAAAC,GAAA,eAAAC,GAAA,eAAAC,GAAA,cAAAC,GAAA,eAAAC,GAAA,WAAAC,GAAA,eAAAC,GAAA,WAAAC,GAAA,SAAAC,GAAA,QAAAC,GAAA,YAAAC,GAAA,cAAAC,GAAA,sBAAAC,GAAA,YAAAC,GAAA,SAAAC,GAAA,WAAAC,GAAA,aAAAC,GAAA,YAAAC,GAAA,QAAAC,GAAA,YAAAC,GAAA,cAAAC,GAAA,QAAAC,GAAA,UAAAC,GAAA,WAAAC,GAAA,YAAAC,GAAA,kBAAAC,GAAA,QAAAC,EAAA,iBAAAC,GAAA,gBAAAC,GAAA,QAAAC,GAAA,cAAAC,GAAA,SAAAC,GAAA,aAAAC,GAAA,WAAAC,GAAA,SAAAC,GAAA,aAAAC,GAAA,OAAAC,EAAA,iBAAAC,GAAA,QAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,QAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,YAAAC,GAAA,iBAAAC,GAAA,gBAAAC,GAAA,yBAAAC,GAAA,SAAAC,GAAA,gBAAAC,GAAA,iBAAAC,GAAA,yBAAAC,GAAA,kBAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,eAAAC,GAAA,oBAAAC,GAAA,gCAAAC,GAAA,qBAAAC,GAAA,mBAAAC,GAAA,eAAAC,GAAA,iBAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,kBAAAC,GAAA,YAAAC,EAAA,YAAAC,GAAA,cAAAC,GAAA,cAAAC,GAAA,cAAAC,GAAA,cAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,WAAAC,GAAA,cAAAC,GAAA,iBAAAC,GAAA,iBAAAC,GAAA,SAAAC,GAAA,oBAAAC,GAAA,eAAAC,GAAA,kBAAAC,GAAA,eAAAC,GAAA,gBAAAC,GAAA,oBAAAC,IAAA,gBAAAC,IAAA,iBAAAC,IAAA,oBAAAC,GAAA,mBAAAC,GAAA,YAAAC,GAAA,SAAAC,GAAA,WAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,YAAAC,GAAA,YAAAC,GAAA,YAAAC,GAAA,YAAAC,GAAA,eAAAC,GAAA,YAAAC,GAAA,aAAAC,GAAA,mBAAAC,GAAA,WAAAC,GAAA,kBAAAC,GAAA,aAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,WAAAC,GAAA,sBAAAC,GAAA,YAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,iBAAAC,GAAA,WAAAC,GAAA,QAAAC,GAAA,QAAAC,GAAA,eAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,WAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,gBAAAC,GAAA,cAAAC,GAAA,SAAAC,EAAA,SAAAC,GAAA,SAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,cAAAC,GAAA,oBAAAC,GAAA,WAAAC,GAAA,uBAAAC,GAAA,qBAAAC,GAAA,uBAAAC,GAAA,YAAAC,GAAA,eAAAC,GAAA,eAAAC,GAAA,SAAAC,EAAA,iBAAAC,GAAA,kBAAAC,GAAA,aAAAC,GAAA,kBAAAC,GAAA,YAAAC,IAAA,sBAAAC,GAAA,iBAAAC,GAAA,mBAAAC,GAAA,iBAAAC,IAAA,kBAAAC,GAAA,UAAAC,GAAA,eAAAC,GAAA,UAAAC,GAAA,eAAAC,GAAA,UAAAC,GAAA,cAAAC,KAMA,IAAIC,GAAG,OAAO,OAAWC,GAAG,OAAO,eAAmBC,GAAG,OAAO,yBAA6BC,GAAG,OAAO,oBAAwBC,GAAG,OAAO,eAAeC,GAAG,OAAO,UAAU,eAAmBC,IAAIC,GAAG,OAAOC,IAAS,YAAYA,GAAQ,OAAO,OAAO,YAAY,IAAI,MAAMD,EAAE,CAAC,IAAI,CAAC,EAAEE,KAAK,OAAOD,IAAS,YAAYA,GAAQ,GAAGC,EAAE,CAAC,EAAEF,GAAG,SAASA,EAAE,CAAC,GAAG,OAAOC,IAAS,YAAY,OAAOA,GAAQ,MAAM,KAAK,SAAS,EAAE,MAAM,IAAI,MAAM,uBAAuBD,EAAE,oBAAoB,CAAC,CAAC,EAAMG,GAAG,CAACH,EAAE,IAAI,KAAK,GAAGA,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,GAAG,QAAQ,CAAC,EAAE,EAAE,SAASI,GAAG,CAACJ,EAAE,IAAI,CAAC,QAAQE,KAAK,EAAER,GAAGM,EAAEE,EAAE,CAAC,IAAI,EAAEA,GAAG,WAAW,EAAE,CAAC,CAAC,EAAEG,GAAG,CAACL,EAAE,EAAEE,EAAEI,IAAI,CAAC,GAAG,GAAG,OAAO,GAAG,UAAU,OAAO,GAAG,WAAW,QAAQC,KAAKX,GAAG,CAAC,EAAE,CAACE,GAAG,KAAKE,EAAEO,CAAC,GAAGA,IAAIL,GAAGR,GAAGM,EAAEO,EAAE,CAAC,IAAI,IAAI,EAAEA,GAAG,WAAW,EAAED,EAAEX,GAAG,EAAEY,CAAC,IAAID,EAAE,UAAU,CAAC,EAAE,OAAON,CAAC,EAAMQ,GAAG,CAACR,EAAE,EAAEE,KAAKA,EAAEF,GAAG,KAAKP,GAAGI,GAAGG,CAAC,CAAC,EAAE,CAAC,EAAEK,GAAG,GAAG,CAACL,GAAG,CAACA,EAAE,WAAWN,GAAGQ,EAAE,UAAU,CAAC,MAAMF,EAAE,WAAW,EAAE,CAAC,EAAEE,EAAEF,CAAC,GAAOS,GAAGN,GAAG,CAACO,EAAIC,IAAK,CAACA,EAAG,QAAQC,EAAG,IAAIC,EAAG,KAAK,GAAG,CAACA,EAAG,IAAI,YAAY,SAAS,IAAI,YAAY,OAAO,IAAI,WAAW,CAAC,EAAE,GAAG,IAAI,IAAI,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,GAAG,EAAE,EAAE,IAAI,GAAG,EAAE,IAAI,IAAI,IAAI,IAAI,EAAE,IAAI,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,IAAI,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,EAAE,IAAI,IAAI,IAAI,EAAE,EAAE,EAAE,IAAI,IAAI,IAAI,GAAG,IAAI,EAAE,EAAE,EAAE,IAAI,IAAI,IAAI,GAAG,IAAI,EAAE,EAAE,EAAE,IAAI,IAAI,IAAI,GAAG,IAAI,EAAE,EAAE,EAAE,IAAI,IAAI,IAAI,GAAG,IAAI,EAAE,EAAE,EAAE,IAAI,IAAI,IAAI,GAAG,IAAI,IAAI,IAAI,IAAI,EAAE,EAAE,GAAG,IAAI,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,GAAG,GAAG,EAAE,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,IAAI,GAAG,EAAE,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,GAAG,EAAE,IAAI,GAAG,GAAG,EAAE,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,IAAI,GAAG,EAAE,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,GAAG,EAAE,IAAI,GAAG,GAAG,EAAE,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,IAAI,GAAG,EAAE,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,GAAG,EAAE,IAAI,GAAG,GAAG,EAAE,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,IAAI,GAAG,EAAE,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,GAAG,EAAE,IAAI,GAAG,GAAG,EAAE,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,IAAI,GAAG,EAAE,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,GAAG,EAAE,IAAI,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,OAAO,OAAOb,EAAN,CAAS,CAAC,SAASY,EAAGZ,EAAEc,EAAEZ,EAAE,CAAC,KAAK,IAAIF,EAAE,EAAE,KAAK,KAAKc,EAAE,EAAE,KAAK,SAAS,CAAC,CAACZ,CAAC,CAACU,EAAG,UAAU,WAAW,OAAO,eAAeA,EAAG,UAAU,aAAa,CAAC,MAAM,EAAE,CAAC,EAAE,SAASG,EAAGf,EAAE,CAAC,OAAOA,GAAGA,EAAE,cAAc,EAAE,CAACY,EAAG,OAAOG,EAAG,IAAIC,EAAG,CAAC,EAAEC,EAAG,CAAC,EAAE,SAASC,EAAGlB,EAAEc,EAAE,CAAC,IAAIZ,EAAEI,EAAEC,EAAE,OAAOO,GAAGd,KAAK,GAAGO,EAAE,GAAGP,GAAGA,EAAE,OAAOM,EAAEW,EAAGjB,GAAGM,GAAGA,GAAGJ,EAAEiB,EAAGnB,GAAGA,EAAE,GAAG,EAAE,GAAG,EAAE,EAAE,EAAEO,IAAIU,EAAGjB,GAAGE,GAAGA,KAAKF,GAAG,GAAGO,EAAE,MAAMP,GAAGA,EAAE,OAAOM,EAAEU,EAAGhB,GAAGM,GAAGA,GAAGJ,EAAEiB,EAAGnB,EAAEA,EAAE,EAAE,GAAG,EAAE,EAAE,EAAEO,IAAIS,EAAGhB,GAAGE,GAAGA,GAAG,CAACU,EAAG,QAAQM,EAAG,SAASE,EAAGpB,EAAEc,EAAE,CAAC,GAAG,MAAMd,CAAC,EAAE,OAAOc,EAAEO,EAAGC,EAAG,GAAGR,EAAE,CAAC,GAAGd,EAAE,EAAE,OAAOqB,EAAG,GAAGrB,GAAGuB,EAAG,OAAOC,CAAE,KAAK,CAAC,GAAGxB,GAAG,CAACyB,EAAG,OAAOC,EAAG,GAAG1B,EAAE,GAAGyB,EAAG,OAAOE,CAAE,CAAC,OAAO3B,EAAE,EAAEoB,EAAG,CAACpB,EAAEc,CAAC,EAAE,IAAI,EAAEK,EAAGnB,EAAE4B,EAAG,EAAE5B,EAAE4B,EAAG,EAAEd,CAAC,CAAC,CAACF,EAAG,WAAWQ,EAAG,SAASD,EAAGnB,EAAEc,EAAEZ,EAAE,CAAC,OAAO,IAAIU,EAAGZ,EAAEc,EAAEZ,CAAC,CAAC,CAACU,EAAG,SAASO,EAAG,IAAIU,EAAG,KAAK,IAAI,SAASC,EAAG9B,EAAEc,EAAEZ,EAAE,CAAC,GAAGF,EAAE,SAAS,EAAE,MAAM,MAAM,cAAc,EAAE,GAAGA,IAAI,OAAOA,IAAI,YAAYA,IAAI,aAAaA,IAAI,YAAY,OAAOsB,EAAG,GAAG,OAAOR,GAAG,UAAUZ,EAAEY,EAAEA,EAAE,IAAIA,EAAE,CAAC,CAACA,EAAEZ,EAAEA,GAAG,GAAGA,EAAE,GAAG,GAAGA,EAAE,MAAM,WAAW,OAAO,EAAE,IAAII,EAAE,IAAIA,EAAEN,EAAE,QAAQ,GAAG,GAAG,EAAE,MAAM,MAAM,iBAAiB,EAAE,GAAGM,IAAI,EAAE,OAAOwB,EAAG9B,EAAE,UAAU,CAAC,EAAEc,EAAEZ,CAAC,EAAE,IAAI,EAAE,QAAQK,EAAEa,EAAGS,EAAG3B,EAAE,CAAC,CAAC,EAAE6B,EAAET,EAAGU,EAAE,EAAEA,EAAEhC,EAAE,OAAOgC,GAAG,EAAE,CAAC,IAAIC,EAAE,KAAK,IAAI,EAAEjC,EAAE,OAAOgC,CAAC,EAAEE,EAAE,SAASlC,EAAE,UAAUgC,EAAEA,EAAEC,CAAC,EAAE/B,CAAC,EAAE,GAAG+B,EAAE,EAAE,CAAC,IAAIE,GAAEf,EAAGS,EAAG3B,EAAE+B,CAAC,CAAC,EAAEF,EAAEA,EAAE,IAAII,EAAC,EAAE,IAAIf,EAAGc,CAAC,CAAC,CAAC,MAAMH,EAAEA,EAAE,IAAIxB,CAAC,EAAEwB,EAAEA,EAAE,IAAIX,EAAGc,CAAC,CAAC,CAAC,CAAC,OAAOH,EAAE,SAASjB,EAAEiB,CAAC,CAACnB,EAAG,WAAWkB,EAAG,SAASM,EAAGpC,EAAEc,EAAE,CAAC,OAAO,OAAOd,GAAG,SAASoB,EAAGpB,EAAEc,CAAC,EAAE,OAAOd,GAAG,SAAS8B,EAAG9B,EAAEc,CAAC,EAAEK,EAAGnB,EAAE,IAAIA,EAAE,KAAK,OAAOc,GAAG,UAAUA,EAAEd,EAAE,QAAQ,CAAC,CAACY,EAAG,UAAUwB,EAAG,IAAIC,EAAG,GAAG,GAAGC,EAAG,GAAG,GAAGV,EAAGS,EAAGA,EAAGd,EAAGK,EAAGA,EAAGH,EAAGF,EAAG,EAAEgB,EAAGrB,EAAGoB,CAAE,EAAEhB,EAAGJ,EAAG,CAAC,EAAEN,EAAG,KAAKU,EAAG,IAAID,EAAGH,EAAG,EAAE,EAAE,EAAEN,EAAG,MAAMS,EAAG,IAAImB,EAAGtB,EAAG,CAAC,EAAEN,EAAG,IAAI4B,EAAG,IAAIC,EAAGvB,EAAG,EAAE,EAAE,EAAEN,EAAG,KAAK6B,EAAG,IAAIC,EAAGxB,EAAG,EAAE,EAAEN,EAAG,QAAQ8B,EAAG,IAAIf,EAAGR,EAAG,GAAG,WAAW,EAAE,EAAEP,EAAG,UAAUe,EAAG,IAAIH,EAAGL,EAAG,GAAG,GAAG,EAAE,EAAEP,EAAG,mBAAmBY,EAAG,IAAIE,EAAGP,EAAG,EAAE,YAAY,EAAE,EAAEP,EAAG,UAAUc,EAAG,IAAIiB,EAAG/B,EAAG,UAAU+B,EAAG,MAAM,UAAU,CAAC,OAAO,KAAK,SAAS,KAAK,MAAM,EAAE,KAAK,GAAG,EAAEA,EAAG,SAAS,UAAU,CAAC,OAAO,KAAK,UAAU,KAAK,OAAO,GAAGf,GAAI,KAAK,MAAM,GAAG,KAAK,KAAKA,GAAI,KAAK,MAAM,EAAE,EAAEe,EAAG,SAAS,SAAS7B,EAAE,CAAC,GAAGA,EAAEA,GAAG,GAAGA,EAAE,GAAG,GAAGA,EAAE,MAAM,WAAW,OAAO,EAAE,GAAG,KAAK,OAAO,EAAE,MAAM,IAAI,GAAG,KAAK,WAAW,EAAE,GAAG,KAAK,GAAGY,CAAE,EAAE,CAAC,IAAIxB,EAAEkB,EAAGN,CAAC,EAAER,EAAE,KAAK,IAAIJ,CAAC,EAAEK,EAAED,EAAE,IAAIJ,CAAC,EAAE,IAAI,IAAI,EAAE,OAAOI,EAAE,SAASQ,CAAC,EAAEP,EAAE,MAAM,EAAE,SAASO,CAAC,CAAC,KAAM,OAAM,IAAI,KAAK,IAAI,EAAE,SAASA,CAAC,EAAE,QAAQiB,EAAEX,EAAGS,EAAGf,EAAE,CAAC,EAAE,KAAK,QAAQ,EAAEkB,EAAE,KAAKC,EAAE,KAAK,CAAC,IAAIC,EAAEF,EAAE,IAAID,CAAC,EAAEI,EAAEH,EAAE,IAAIE,EAAE,IAAIH,CAAC,CAAC,EAAE,MAAM,IAAI,EAAEa,GAAET,EAAE,SAASrB,CAAC,EAAE,GAAGkB,EAAEE,EAAEF,EAAE,OAAO,EAAE,OAAOY,GAAEX,EAAE,KAAKW,GAAE,OAAO,GAAGA,GAAE,IAAIA,GAAEX,EAAE,GAAGW,GAAEX,CAAC,CAAC,EAAEU,EAAG,YAAY,UAAU,CAAC,OAAO,KAAK,IAAI,EAAEA,EAAG,oBAAoB,UAAU,CAAC,OAAO,KAAK,OAAO,CAAC,EAAEA,EAAG,WAAW,UAAU,CAAC,OAAO,KAAK,GAAG,EAAEA,EAAG,mBAAmB,UAAU,CAAC,OAAO,KAAK,MAAM,CAAC,EAAEA,EAAG,cAAc,UAAU,CAAC,GAAG,KAAK,WAAW,EAAE,OAAO,KAAK,GAAGjB,CAAE,EAAE,GAAG,KAAK,IAAI,EAAE,cAAc,EAAE,QAAQZ,EAAE,KAAK,MAAM,EAAE,KAAK,KAAK,KAAK,IAAIZ,EAAE,GAAGA,EAAE,IAAIY,EAAE,GAAGZ,IAAI,EAAEA,IAAI,CAAC,OAAO,KAAK,MAAM,EAAEA,EAAE,GAAGA,EAAE,CAAC,EAAEyC,EAAG,OAAO,UAAU,CAAC,OAAO,KAAK,OAAO,GAAG,KAAK,MAAM,CAAC,EAAEA,EAAG,IAAIA,EAAG,OAAOA,EAAG,WAAW,UAAU,CAAC,MAAM,CAAC,KAAK,UAAU,KAAK,KAAK,CAAC,EAAEA,EAAG,WAAW,UAAU,CAAC,OAAO,KAAK,UAAU,KAAK,MAAM,CAAC,EAAEA,EAAG,MAAM,UAAU,CAAC,OAAO,KAAK,IAAI,KAAK,CAAC,EAAEA,EAAG,OAAO,UAAU,CAAC,OAAO,KAAK,IAAI,KAAK,CAAC,EAAEA,EAAG,OAAO,SAAS7B,EAAE,CAAC,OAAOC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAG,KAAK,WAAWA,EAAE,UAAU,KAAK,OAAO,KAAK,GAAGA,EAAE,OAAO,KAAK,EAAE,GAAG,KAAK,OAAOA,EAAE,MAAM,KAAK,MAAMA,EAAE,GAAG,EAAE6B,EAAG,GAAGA,EAAG,OAAOA,EAAG,UAAU,SAAS7B,EAAE,CAAC,MAAM,CAAC,KAAK,GAAGA,CAAC,CAAC,EAAE6B,EAAG,IAAIA,EAAG,UAAUA,EAAG,GAAGA,EAAG,UAAUA,EAAG,SAAS,SAAS7B,EAAE,CAAC,OAAO,KAAK,KAAKA,CAAC,EAAE,CAAC,EAAE6B,EAAG,GAAGA,EAAG,SAASA,EAAG,gBAAgB,SAAS7B,EAAE,CAAC,OAAO,KAAK,KAAKA,CAAC,GAAG,CAAC,EAAE6B,EAAG,IAAIA,EAAG,gBAAgBA,EAAG,GAAGA,EAAG,gBAAgBA,EAAG,YAAY,SAAS7B,EAAE,CAAC,OAAO,KAAK,KAAKA,CAAC,EAAE,CAAC,EAAE6B,EAAG,GAAGA,EAAG,YAAYA,EAAG,mBAAmB,SAAS7B,EAAE,CAAC,OAAO,KAAK,KAAKA,CAAC,GAAG,CAAC,EAAE6B,EAAG,IAAIA,EAAG,mBAAmBA,EAAG,GAAGA,EAAG,mBAAmBA,EAAG,QAAQ,SAAS7B,EAAE,CAAC,GAAGC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAG,KAAK,GAAGA,CAAC,EAAE,MAAO,GAAE,IAAIZ,EAAE,KAAK,WAAW,EAAEI,EAAEQ,EAAE,WAAW,EAAE,OAAOZ,GAAG,CAACI,EAAE,GAAG,CAACJ,GAAGI,EAAE,EAAE,KAAK,SAASQ,EAAE,OAAO,EAAE,KAAK,OAAO,GAAGA,EAAE,OAAO,KAAK,MAAMA,EAAE,MAAM,EAAE,KAAK,MAAM,EAAE,GAAG,EAAE,KAAK,IAAIA,CAAC,EAAE,WAAW,EAAE,GAAG,CAAC,EAAE6B,EAAG,KAAKA,EAAG,QAAQA,EAAG,OAAO,UAAU,CAAC,MAAM,CAAC,KAAK,UAAU,KAAK,GAAGjB,CAAE,EAAEA,EAAG,KAAK,IAAI,EAAE,IAAIc,CAAE,CAAC,EAAEG,EAAG,IAAIA,EAAG,OAAOA,EAAG,IAAI,SAAS7B,EAAE,CAACC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAG,IAAIZ,EAAE,KAAK,OAAO,GAAGI,EAAE,KAAK,KAAK,MAAMC,EAAE,KAAK,MAAM,GAAGwB,EAAE,KAAK,IAAI,MAAMC,EAAElB,EAAE,OAAO,GAAGmB,EAAEnB,EAAE,KAAK,MAAMoB,EAAEpB,EAAE,MAAM,GAAGqB,EAAErB,EAAE,IAAI,MAAM8B,GAAE,EAAEC,GAAE,EAAEC,GAAE,EAAEC,GAAE,EAAE,OAAOA,IAAGhB,EAAEI,EAAEW,IAAGC,KAAI,GAAGA,IAAG,MAAMD,IAAGvC,EAAE2B,EAAEW,IAAGC,KAAI,GAAGA,IAAG,MAAMD,IAAGvC,EAAE2B,EAAEW,IAAGC,KAAI,GAAGA,IAAG,MAAMD,IAAG1C,EAAE8B,EAAEY,IAAG,MAAMzB,EAAG2B,IAAG,GAAGC,GAAEH,IAAG,GAAGC,GAAE,KAAK,QAAQ,CAAC,EAAEF,EAAG,SAAS,SAAS7B,EAAE,CAAC,OAAOC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAG,KAAK,IAAIA,EAAE,IAAI,CAAC,CAAC,EAAE6B,EAAG,IAAIA,EAAG,SAASA,EAAG,SAAS,SAAS7B,EAAE,CAAC,GAAG,KAAK,OAAO,EAAE,OAAOQ,EAAG,GAAGP,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAGD,EAAG,CAAC,IAAIX,EAAEW,EAAG,IAAI,KAAK,IAAI,KAAK,KAAKC,EAAE,IAAIA,EAAE,IAAI,EAAE,OAAOK,EAAGjB,EAAEW,EAAG,SAAS,EAAE,KAAK,QAAQ,CAAC,CAAC,GAAGC,EAAE,OAAO,EAAE,OAAOQ,EAAG,GAAG,KAAK,GAAGI,CAAE,EAAE,OAAOZ,EAAE,MAAM,EAAEY,EAAGJ,EAAG,GAAGR,EAAE,GAAGY,CAAE,EAAE,OAAO,KAAK,MAAM,EAAEA,EAAGJ,EAAG,GAAG,KAAK,WAAW,EAAE,OAAOR,EAAE,WAAW,EAAE,KAAK,IAAI,EAAE,IAAIA,EAAE,IAAI,CAAC,EAAE,KAAK,IAAI,EAAE,IAAIA,CAAC,EAAE,IAAI,EAAE,GAAGA,EAAE,WAAW,EAAE,OAAO,KAAK,IAAIA,EAAE,IAAI,CAAC,EAAE,IAAI,EAAE,GAAG,KAAK,GAAGyB,CAAE,GAAGzB,EAAE,GAAGyB,CAAE,EAAE,OAAOnB,EAAG,KAAK,SAAS,EAAEN,EAAE,SAAS,EAAE,KAAK,QAAQ,EAAE,IAAIR,EAAE,KAAK,OAAO,GAAGC,EAAE,KAAK,KAAK,MAAMwB,EAAE,KAAK,MAAM,GAAGC,EAAE,KAAK,IAAI,MAAMC,EAAEnB,EAAE,OAAO,GAAGoB,EAAEpB,EAAE,KAAK,MAAMqB,EAAErB,EAAE,MAAM,GAAG8B,GAAE9B,EAAE,IAAI,MAAM+B,GAAE,EAAEC,GAAE,EAAEC,GAAE,EAAEC,GAAE,EAAE,OAAOA,IAAGhB,EAAEY,GAAEG,IAAGC,KAAI,GAAGA,IAAG,MAAMD,IAAGhB,EAAEa,GAAEE,IAAGC,KAAI,GAAGA,IAAG,MAAMA,IAAGf,EAAEG,EAAEW,IAAGC,KAAI,GAAGA,IAAG,MAAMD,IAAGvC,EAAEqC,GAAEC,IAAGC,KAAI,GAAGA,IAAG,MAAMA,IAAGf,EAAEI,EAAEU,IAAGC,KAAI,GAAGA,IAAG,MAAMA,IAAGd,EAAEE,EAAEW,IAAGC,KAAI,GAAGA,IAAG,MAAMD,IAAGvC,EAAEsC,GAAErC,EAAE4B,EAAEJ,EAAEG,EAAEF,EAAEC,EAAEY,IAAG,MAAM1B,EAAG4B,IAAG,GAAGC,GAAEH,IAAG,GAAGC,GAAE,KAAK,QAAQ,CAAC,EAAEH,EAAG,IAAIA,EAAG,SAASA,EAAG,OAAO,SAAS7B,EAAE,CAAC,GAAGC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAGA,EAAE,OAAO,EAAE,MAAM,MAAM,kBAAkB,EAAE,GAAGD,EAAG,CAAC,GAAG,CAAC,KAAK,UAAU,KAAK,OAAO,aAAaC,EAAE,MAAM,IAAIA,EAAE,OAAO,GAAG,OAAO,KAAK,IAAIZ,GAAG,KAAK,SAASW,EAAG,MAAMA,EAAG,OAAO,KAAK,IAAI,KAAK,KAAKC,EAAE,IAAIA,EAAE,IAAI,EAAE,OAAOK,EAAGjB,EAAEW,EAAG,SAAS,EAAE,KAAK,QAAQ,CAAC,CAAC,GAAG,KAAK,OAAO,EAAE,OAAO,KAAK,SAASQ,EAAGC,EAAG,IAAIhB,EAAEC,EAAEwB,EAAE,GAAG,KAAK,SAAS,CAAC,GAAGjB,EAAE,WAAWA,EAAEA,EAAE,WAAW,GAAGA,EAAE,GAAG,IAAI,EAAE,OAAOO,EAAG,GAAGP,EAAE,GAAG,KAAK,KAAK,CAAC,CAAC,EAAE,OAAO2B,EAAGV,EAAEV,CAAE,KAAK,CAAC,GAAG,KAAK,GAAGK,CAAE,EAAE,CAAC,GAAGZ,EAAE,GAAG0B,CAAE,GAAG1B,EAAE,GAAG4B,CAAE,EAAE,OAAOhB,EAAG,GAAGZ,EAAE,GAAGY,CAAE,EAAE,OAAOc,EAAG,IAAIR,EAAE,KAAK,IAAI,CAAC,EAAE,OAAO1B,EAAE0B,EAAE,IAAIlB,CAAC,EAAE,IAAI,CAAC,EAAER,EAAE,GAAGgB,CAAE,EAAER,EAAE,WAAW,EAAE0B,EAAGE,GAAInC,EAAE,KAAK,IAAIO,EAAE,IAAIR,CAAC,CAAC,EAAEyB,EAAEzB,EAAE,IAAIC,EAAE,IAAIO,CAAC,CAAC,EAAEiB,EAAE,SAASjB,EAAE,GAAGY,CAAE,EAAE,OAAO,KAAK,SAASL,EAAGC,EAAG,GAAG,KAAK,WAAW,EAAE,OAAOR,EAAE,WAAW,EAAE,KAAK,IAAI,EAAE,IAAIA,EAAE,IAAI,CAAC,EAAE,KAAK,IAAI,EAAE,IAAIA,CAAC,EAAE,IAAI,EAAE,GAAGA,EAAE,WAAW,EAAE,OAAO,KAAK,IAAIA,EAAE,IAAI,CAAC,EAAE,IAAI,EAAEiB,EAAET,CAAE,CAAC,IAAIf,EAAE,KAAKA,EAAE,IAAIO,CAAC,GAAG,CAACR,EAAE,KAAK,IAAI,EAAE,KAAK,MAAMC,EAAE,SAAS,EAAEO,EAAE,SAAS,CAAC,CAAC,EAAE,QAAQmB,EAAE,KAAK,KAAK,KAAK,IAAI3B,CAAC,EAAE,KAAK,GAAG,EAAE4B,EAAED,GAAG,GAAG,EAAEJ,EAAG,EAAEI,EAAE,EAAE,EAAEE,EAAEf,EAAGd,CAAC,EAAEsC,GAAET,EAAE,IAAIrB,CAAC,EAAE8B,GAAE,WAAW,GAAGA,GAAE,GAAGrC,CAAC,GAAGD,GAAG4B,EAAEC,EAAEf,EAAGd,EAAE,KAAK,QAAQ,EAAEsC,GAAET,EAAE,IAAIrB,CAAC,EAAEqB,EAAE,OAAO,IAAIA,EAAEK,GAAIT,EAAEA,EAAE,IAAII,CAAC,EAAE5B,EAAEA,EAAE,IAAIqC,EAAC,CAAC,CAAC,OAAOb,CAAC,EAAEY,EAAG,IAAIA,EAAG,OAAOA,EAAG,OAAO,SAAS7B,EAAE,CAAC,GAAGC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAGD,EAAG,CAAC,IAAIX,GAAG,KAAK,SAASW,EAAG,MAAMA,EAAG,OAAO,KAAK,IAAI,KAAK,KAAKC,EAAE,IAAIA,EAAE,IAAI,EAAE,OAAOK,EAAGjB,EAAEW,EAAG,SAAS,EAAE,KAAK,QAAQ,CAAC,CAAC,OAAO,KAAK,IAAI,KAAK,IAAIC,CAAC,EAAE,IAAIA,CAAC,CAAC,CAAC,EAAE6B,EAAG,IAAIA,EAAG,OAAOA,EAAG,IAAIA,EAAG,OAAOA,EAAG,IAAI,UAAU,CAAC,OAAOxB,EAAG,CAAC,KAAK,IAAI,CAAC,KAAK,KAAK,KAAK,QAAQ,CAAC,EAAEwB,EAAG,IAAI,SAAS7B,EAAE,CAAC,OAAOC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAGK,EAAG,KAAK,IAAIL,EAAE,IAAI,KAAK,KAAKA,EAAE,KAAK,KAAK,QAAQ,CAAC,EAAE6B,EAAG,GAAG,SAAS7B,EAAE,CAAC,OAAOC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAGK,EAAG,KAAK,IAAIL,EAAE,IAAI,KAAK,KAAKA,EAAE,KAAK,KAAK,QAAQ,CAAC,EAAE6B,EAAG,IAAI,SAAS7B,EAAE,CAAC,OAAOC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAGK,EAAG,KAAK,IAAIL,EAAE,IAAI,KAAK,KAAKA,EAAE,KAAK,KAAK,QAAQ,CAAC,EAAE6B,EAAG,UAAU,SAAS7B,EAAE,CAAC,OAAOC,EAAGD,CAAC,IAAIA,EAAEA,EAAE,MAAM,IAAIA,GAAG,MAAM,EAAE,KAAKA,EAAE,GAAGK,EAAG,KAAK,KAAKL,EAAE,KAAK,MAAMA,EAAE,KAAK,MAAM,GAAGA,EAAE,KAAK,QAAQ,EAAEK,EAAG,EAAE,KAAK,KAAKL,EAAE,GAAG,KAAK,QAAQ,CAAC,EAAE6B,EAAG,IAAIA,EAAG,UAAUA,EAAG,WAAW,SAAS7B,EAAE,CAAC,OAAOC,EAAGD,CAAC,IAAIA,EAAEA,EAAE,MAAM,IAAIA,GAAG,MAAM,EAAE,KAAKA,EAAE,GAAGK,EAAG,KAAK,MAAML,EAAE,KAAK,MAAM,GAAGA,EAAE,KAAK,MAAMA,EAAE,KAAK,QAAQ,EAAEK,EAAG,KAAK,MAAML,EAAE,GAAG,KAAK,MAAM,EAAE,EAAE,GAAG,KAAK,QAAQ,CAAC,EAAE6B,EAAG,IAAIA,EAAG,WAAWA,EAAG,mBAAmB,SAAS7B,EAAE,CAAC,GAAGC,EAAGD,CAAC,IAAIA,EAAEA,EAAE,MAAM,GAAGA,GAAG,GAAGA,IAAI,EAAE,OAAO,KAAK,IAAIZ,EAAE,KAAK,KAAK,GAAGY,EAAE,GAAG,CAAC,IAAIR,EAAE,KAAK,IAAI,OAAOa,EAAGb,IAAIQ,EAAEZ,GAAG,GAAGY,EAAEZ,IAAIY,EAAE,KAAK,QAAQ,CAAC,KAAM,QAAOA,IAAI,GAAGK,EAAGjB,EAAE,EAAE,KAAK,QAAQ,EAAEiB,EAAGjB,IAAIY,EAAE,GAAG,EAAE,KAAK,QAAQ,CAAC,EAAE6B,EAAG,KAAKA,EAAG,mBAAmBA,EAAG,MAAMA,EAAG,mBAAmBA,EAAG,SAAS,UAAU,CAAC,OAAO,KAAK,SAASxB,EAAG,KAAK,IAAI,KAAK,KAAK,EAAE,EAAE,IAAI,EAAEwB,EAAG,WAAW,UAAU,CAAC,OAAO,KAAK,SAAS,KAAKxB,EAAG,KAAK,IAAI,KAAK,KAAK,EAAE,CAAC,EAAEwB,EAAG,QAAQ,SAAS7B,EAAE,CAAC,OAAOA,EAAE,KAAK,UAAU,EAAE,KAAK,UAAU,CAAC,EAAE6B,EAAG,UAAU,UAAU,CAAC,IAAI7B,EAAE,KAAK,KAAKZ,EAAE,KAAK,IAAI,MAAM,CAACA,EAAE,IAAIA,IAAI,EAAE,IAAIA,IAAI,GAAG,IAAIA,IAAI,GAAGY,EAAE,IAAIA,IAAI,EAAE,IAAIA,IAAI,GAAG,IAAIA,IAAI,EAAE,CAAC,EAAE6B,EAAG,UAAU,UAAU,CAAC,IAAI7B,EAAE,KAAK,KAAKZ,EAAE,KAAK,IAAI,MAAM,CAACY,IAAI,GAAGA,IAAI,GAAG,IAAIA,IAAI,EAAE,IAAIA,EAAE,IAAIZ,IAAI,GAAGA,IAAI,GAAG,IAAIA,IAAI,EAAE,IAAIA,EAAE,GAAG,CAAC,EAAEU,EAAG,UAAU,SAASE,EAAEZ,EAAEI,EAAE,CAAC,OAAOA,EAAEM,EAAG,YAAYE,EAAEZ,CAAC,EAAEU,EAAG,YAAYE,EAAEZ,CAAC,CAAC,EAAEU,EAAG,YAAY,SAASE,EAAEZ,EAAE,CAAC,OAAO,IAAIU,EAAGE,EAAE,GAAGA,EAAE,IAAI,EAAEA,EAAE,IAAI,GAAGA,EAAE,IAAI,GAAGA,EAAE,GAAGA,EAAE,IAAI,EAAEA,EAAE,IAAI,GAAGA,EAAE,IAAI,GAAGZ,CAAC,CAAC,EAAEU,EAAG,YAAY,SAASE,EAAEZ,EAAE,CAAC,OAAO,IAAIU,EAAGE,EAAE,IAAI,GAAGA,EAAE,IAAI,GAAGA,EAAE,IAAI,EAAEA,EAAE,GAAGA,EAAE,IAAI,GAAGA,EAAE,IAAI,GAAGA,EAAE,IAAI,EAAEA,EAAE,GAAGZ,CAAC,CAAC,CAAC,CAAC,EAAM+C,GAAG9C,GAAG,IAAI,CAAC,CAAC,EAAM+C,GAAG/C,GAAG,IAAI,CAAC,CAAC,EAAMgD,GAAGhD,GAAG,CAACiD,EAAGC,IAAK,EAAE,SAASrD,EAAEc,EAAEZ,EAAE,CAAC,SAASI,EAAE2B,EAAE,CAAC,IAAIC,EAAE,KAAKC,EAAEH,EAAE,EAAEE,EAAE,KAAK,UAAU,CAAC,IAAI,EAAE,QAAQA,EAAE,GAAGA,EAAE,EAAE,sBAAsB,OAAOA,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAG,GAAGA,EAAE,EAAE,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,GAAGC,EAAE,GAAG,EAAED,EAAE,GAAGC,EAAE,GAAG,EAAED,EAAE,GAAGC,EAAE,GAAG,EAAED,EAAE,IAAIC,EAAEF,CAAC,EAAEC,EAAE,GAAG,IAAIA,EAAE,IAAI,GAAGA,EAAE,IAAIC,EAAEF,CAAC,EAAEC,EAAE,GAAG,IAAIA,EAAE,IAAI,GAAGA,EAAE,IAAIC,EAAEF,CAAC,EAAEC,EAAE,GAAG,IAAIA,EAAE,IAAI,GAAGC,EAAE,IAAI,CAAC,SAAS5B,EAAE0B,EAAEC,EAAE,CAAC,OAAOA,EAAE,EAAED,EAAE,EAAEC,EAAE,GAAGD,EAAE,GAAGC,EAAE,GAAGD,EAAE,GAAGC,EAAE,GAAGD,EAAE,GAAGC,CAAC,CAAC,SAASH,EAAEE,EAAEC,EAAE,CAAC,IAAIC,EAAE,IAAI7B,EAAE2B,CAAC,EAAE,EAAEC,GAAGA,EAAE,MAAMW,EAAEV,EAAE,KAAK,OAAOU,EAAE,MAAM,UAAU,CAAC,OAAOV,EAAE,KAAK,EAAE,WAAW,CAAC,EAAEU,EAAE,OAAO,UAAU,CAAC,OAAOA,EAAE,GAAGA,EAAE,EAAE,QAAQ,GAAG,qBAAqB,EAAEA,EAAE,MAAMA,EAAE,IAAI,OAAO,GAAG,UAAUtC,EAAE,EAAE4B,CAAC,EAAEU,EAAE,MAAM,UAAU,CAAC,OAAOtC,EAAE4B,EAAE,CAAC,CAAC,CAAC,GAAGU,CAAC,CAAC,SAASb,GAAG,CAAC,IAAIC,EAAE,WAAWC,EAAE,SAASC,EAAE,CAACA,EAAE,OAAOA,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,IAAI,CAACF,GAAGE,EAAE,WAAW,CAAC,EAAE,IAAIU,EAAE,mBAAmBZ,EAAEA,EAAEY,IAAI,EAAEA,GAAGZ,EAAEY,GAAGZ,EAAEA,EAAEY,IAAI,EAAEA,GAAGZ,EAAEA,GAAGY,EAAE,UAAU,CAAC,OAAOZ,IAAI,GAAG,qBAAqB,EAAE,OAAOC,CAAC,CAACpB,GAAGA,EAAE,QAAQA,EAAE,QAAQiB,EAAE7B,GAAGA,EAAE,IAAIA,EAAE,UAAU,CAAC,OAAO6B,CAAC,CAAC,EAAE,KAAK,KAAKA,CAAC,GAAGqB,EAAG,OAAOC,GAAI,UAAUA,EAAG,OAAO,QAAQ,YAAY,MAAM,CAAC,CAAC,EAAMC,GAAGnD,GAAG,CAACoD,EAAGC,IAAK,EAAE,SAASxD,EAAEc,EAAEZ,EAAE,CAAC,SAASI,EAAE0B,EAAE,CAAC,IAAIC,EAAE,KAAKC,EAAE,GAAGD,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,KAAK,UAAU,CAAC,IAAI,EAAEA,EAAE,EAAEA,EAAE,GAAG,GAAG,OAAOA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGA,EAAE,IAAI,GAAG,EAAE,IAAI,CAAC,EAAED,KAAKA,EAAE,GAAGC,EAAE,EAAED,EAAEE,GAAGF,EAAE,QAAQG,EAAE,EAAEA,EAAED,EAAE,OAAO,GAAGC,IAAIF,EAAE,GAAGC,EAAE,WAAWC,CAAC,EAAE,EAAEF,EAAE,KAAK,CAAC,CAAC,SAAS1B,EAAEyB,EAAEC,EAAE,CAAC,OAAOA,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,CAAC,CAAC,SAASF,EAAEC,EAAEC,EAAE,CAAC,IAAIC,EAAE,IAAI5B,EAAE0B,CAAC,EAAEG,EAAEF,GAAGA,EAAE,MAAM,EAAE,UAAU,CAAC,OAAOC,EAAE,KAAK,IAAI,GAAG,UAAU,EAAE,OAAO,EAAE,OAAO,UAAU,CAAC,EAAG,KAAIW,EAAEX,EAAE,KAAK,IAAI,GAAG,GAAGA,EAAE,KAAK,IAAI,GAAG,WAAW,GAAGW,EAAE,IAAI,GAAG,UAAU,IAAI,GAAG,OAAO,CAAC,EAAE,EAAE,MAAMX,EAAE,KAAK,EAAE,MAAM,EAAEC,IAAI,OAAOA,GAAG,UAAU5B,EAAE4B,EAAED,CAAC,EAAE,EAAE,MAAM,UAAU,CAAC,OAAO3B,EAAE2B,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,CAACpB,GAAGA,EAAE,QAAQA,EAAE,QAAQiB,EAAE7B,GAAGA,EAAE,IAAIA,EAAE,UAAU,CAAC,OAAO6B,CAAC,CAAC,EAAE,KAAK,OAAOA,CAAC,GAAGwB,EAAG,OAAOC,GAAI,UAAUA,EAAG,OAAO,QAAQ,YAAY,MAAM,CAAC,CAAC,EAAMC,GAAGtD,GAAG,CAACuD,EAAGC,IAAK,EAAE,SAAS3D,EAAEc,EAAEZ,EAAE,CAAC,SAASI,EAAE0B,EAAE,CAAC,IAAIC,EAAE,KAAKC,EAAE,GAAGD,EAAE,KAAK,UAAU,CAAC,IAAI,EAAEA,EAAE,EAAEA,EAAE,IAAI,EAAE,OAAOA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGA,EAAE,EAAEA,EAAE,EAAE,OAAO,IAAIA,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAG,GAAG,EAAE,GAAG,IAAI,CAAC,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAED,KAAKA,EAAE,GAAGC,EAAE,EAAED,EAAEE,GAAGF,EAAE,QAAQG,EAAE,EAAEA,EAAED,EAAE,OAAO,GAAGC,IAAIF,EAAE,GAAGC,EAAE,WAAWC,CAAC,EAAE,EAAEA,GAAGD,EAAE,SAASD,EAAE,EAAEA,EAAE,GAAG,GAAGA,EAAE,IAAI,GAAGA,EAAE,KAAK,CAAC,CAAC,SAAS1B,EAAEyB,EAAEC,EAAE,CAAC,OAAOA,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,CAAC,CAAC,SAASF,EAAEC,EAAEC,EAAE,CAAC,IAAIC,EAAE,IAAI5B,EAAE0B,CAAC,EAAEG,EAAEF,GAAGA,EAAE,MAAM,EAAE,UAAU,CAAC,OAAOC,EAAE,KAAK,IAAI,GAAG,UAAU,EAAE,OAAO,EAAE,OAAO,UAAU,CAAC,EAAG,KAAIW,EAAEX,EAAE,KAAK,IAAI,GAAG,GAAGA,EAAE,KAAK,IAAI,GAAG,WAAW,GAAGW,EAAE,IAAI,GAAG,UAAU,IAAI,GAAG,OAAO,CAAC,EAAE,EAAE,MAAMX,EAAE,KAAK,EAAE,MAAM,EAAEC,IAAI,OAAOA,GAAG,UAAU5B,EAAE4B,EAAED,CAAC,EAAE,EAAE,MAAM,UAAU,CAAC,OAAO3B,EAAE2B,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,CAACpB,GAAGA,EAAE,QAAQA,EAAE,QAAQiB,EAAE7B,GAAGA,EAAE,IAAIA,EAAE,UAAU,CAAC,OAAO6B,CAAC,CAAC,EAAE,KAAK,OAAOA,CAAC,GAAG2B,EAAG,OAAOC,GAAI,UAAUA,EAAG,OAAO,QAAQ,YAAY,MAAM,CAAC,CAAC,EAAMC,GAAGzD,GAAG,CAAC0D,EAAGC,IAAK,EAAE,SAAS9D,EAAEc,EAAEZ,EAAE,CAAC,SAASI,EAAE0B,EAAE,CAAC,IAAIC,EAAE,KAAKA,EAAE,KAAK,UAAU,CAAC,IAAIE,EAAEF,EAAE,EAAE,EAAEA,EAAE,EAAEY,EAAE,EAAE,EAAE,OAAOA,EAAEV,EAAE,GAAGU,GAAGA,IAAI,EAAE,EAAEA,EAAEA,GAAG,GAAGA,EAAEV,EAAE,EAAE,EAAE,GAAG,GAAGU,EAAEA,IAAI,GAAGA,EAAEV,EAAE,EAAE,EAAE,GAAG,GAAGU,EAAEA,IAAI,EAAEA,EAAEV,EAAE,EAAE,EAAE,GAAG,GAAGU,EAAEA,GAAG,EAAEA,EAAEV,EAAE,EAAE,EAAE,GAAGU,EAAEA,EAAEA,GAAG,GAAG,GAAGA,EAAEA,GAAG,EAAEV,EAAE,GAAG,EAAEF,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC,EAAE,SAASC,EAAEC,EAAE,EAAE,CAAC,IAAIU,EAAE,EAAE,EAAE,CAAC,EAAE,GAAG,KAAK,EAAE,GAAG,EAAE,EAAE,GAAG,MAAO,KAAI,EAAE,GAAG,EAAEA,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,EAAEA,EAAE,GAAG,EAAEA,EAAE,IAAI,GAAG,EAAE,WAAWA,CAAC,EAAE,EAAEA,EAAE,EAAE,IAAI,GAAG,KAAK,EAAE,OAAO,GAAG,EAAE,KAAK,CAAC,EAAE,IAAIA,EAAE,EAAEA,EAAE,GAAG,EAAEA,KAAK,EAAE,EAAEA,EAAE,CAAC,IAAIA,GAAG,EAAE,EAAE,EAAE,GAAG,GAAG,EAAE,EAAEA,GAAGV,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEU,EAAE,IAAIA,EAAE,EAAE,EAAEA,EAAEV,EAAE,KAAK,CAAC,CAACD,EAAED,EAAED,CAAC,CAAC,CAAC,SAASzB,EAAEyB,EAAEC,EAAE,CAAC,OAAOA,EAAE,EAAED,EAAE,EAAE,MAAM,EAAEC,EAAE,EAAED,EAAE,EAAEC,CAAC,CAAC,SAASF,EAAEC,EAAEC,EAAE,CAACD,GAAG,OAAOA,EAAE,CAAC,IAAI,MAAM,IAAIE,EAAE,IAAI5B,EAAE0B,CAAC,EAAEG,EAAEF,GAAGA,EAAE,MAAM,EAAE,UAAU,CAAC,OAAOC,EAAE,KAAK,IAAI,GAAG,UAAU,EAAE,OAAO,EAAE,OAAO,UAAU,CAAC,EAAG,KAAIW,EAAEX,EAAE,KAAK,IAAI,GAAG,GAAGA,EAAE,KAAK,IAAI,GAAG,WAAW,GAAGW,EAAE,IAAI,GAAG,UAAU,IAAI,GAAG,OAAO,CAAC,EAAE,EAAE,MAAMX,EAAE,KAAK,EAAE,MAAM,EAAEC,IAAIA,EAAE,GAAG5B,EAAE4B,EAAED,CAAC,EAAE,EAAE,MAAM,UAAU,CAAC,OAAO3B,EAAE2B,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,CAACpB,GAAGA,EAAE,QAAQA,EAAE,QAAQiB,EAAE7B,GAAGA,EAAE,IAAIA,EAAE,UAAU,CAAC,OAAO6B,CAAC,CAAC,EAAE,KAAK,UAAUA,CAAC,GAAG8B,EAAG,OAAOC,GAAI,UAAUA,EAAG,OAAO,QAAQ,YAAY,MAAM,CAAC,CAAC,EAAMC,GAAG5D,GAAG,CAAC6D,EAAGC,IAAK,EAAE,SAASjE,EAAEc,EAAEZ,EAAE,CAAC,SAASI,EAAE0B,EAAE,CAAC,IAAIC,EAAE,KAAKA,EAAE,KAAK,UAAU,CAAC,IAAIE,EAAEF,EAAE,EAAE,EAAEA,EAAE,EAAEY,EAAEZ,EAAE,EAAE,EAAE,EAAE,OAAOA,EAAE,EAAEE,EAAEA,EAAE,WAAW,EAAE,EAAE,EAAEU,EAAE,GAAG,KAAK,EAAE,EAAEA,EAAEA,EAAE,EAAE,KAAK,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,IAAI,GAAG,GAAG,IAAI,GAAG,EAAE,EAAEA,GAAG,EAAE,EAAEZ,EAAE,EAAEY,EAAE,GAAGV,EAAEA,IAAI,IAAI,CAAC,EAAE,SAASD,EAAEC,EAAE,EAAE,CAAC,IAAIU,EAAE,EAAE,EAAEG,EAAEkB,EAAEC,EAAE,CAAC,EAAE,EAAE,IAAI,IAAI,KAAK,EAAE,IAAI,EAAE,EAAE,EAAE,OAAO,EAAE,EAAE,KAAK,EAAE,EAAE,EAAE,KAAK,IAAI,EAAE,EAAE,MAAM,GAAG,EAAE,EAAEnB,EAAE,IAAIA,EAAE,EAAE,EAAEA,EAAE,IAAI,GAAG,EAAE,YAAYA,EAAE,IAAI,EAAE,MAAM,GAAGA,IAAI,IAAIkB,EAAE,GAAG,GAAG,GAAG,GAAG,GAAG,IAAI,GAAG,GAAG,GAAG,EAAE,GAAG,IAAI,GAAGlB,GAAG,IAAIkB,EAAEA,EAAE,WAAW,EAAErB,EAAEsB,EAAEnB,EAAE,MAAM,EAAEkB,EAAE,EAAErB,GAAG,EAAE,EAAE,EAAE,GAAG,IAAI,GAAG,MAAMsB,GAAG,GAAG,EAAE,QAAQ,GAAG,KAAK,IAAI,EAAE,IAAInB,EAAE,EAAE,IAAIA,EAAE,EAAE,EAAEA,EAAE,EAAEmB,EAAE,EAAE,GAAG,KAAKtB,EAAEsB,EAAE,EAAE,EAAE,EAAE,KAAK,GAAG,GAAG,GAAGtB,GAAGA,GAAG,GAAG,GAAG,IAAI,GAAGA,GAAGA,IAAI,GAAGsB,EAAE,GAAG,EAAEtB,EAAEV,EAAE,EAAE+B,EAAE/B,EAAE,EAAEgC,EAAEhC,EAAE,EAAE,CAAC,CAACD,EAAED,EAAED,CAAC,CAAC,CAAC,SAASzB,EAAEyB,EAAEC,EAAE,CAAC,OAAOA,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAE,MAAM,EAAEC,CAAC,CAAC,SAASF,EAAEC,EAAEC,EAAE,CAACD,GAAG,OAAOA,EAAE,CAAC,IAAI,MAAM,IAAIE,EAAE,IAAI5B,EAAE0B,CAAC,EAAEG,EAAEF,GAAGA,EAAE,MAAM,EAAE,UAAU,CAAC,OAAOC,EAAE,KAAK,IAAI,GAAG,UAAU,EAAE,OAAO,EAAE,OAAO,UAAU,CAAC,EAAG,KAAIW,EAAEX,EAAE,KAAK,IAAI,GAAG,GAAGA,EAAE,KAAK,IAAI,GAAG,WAAW,GAAGW,EAAE,IAAI,GAAG,UAAU,IAAI,GAAG,OAAO,CAAC,EAAE,EAAE,MAAMX,EAAE,KAAK,EAAE,MAAM,EAAEC,IAAIA,EAAE,GAAG5B,EAAE4B,EAAED,CAAC,EAAE,EAAE,MAAM,UAAU,CAAC,OAAO3B,EAAE2B,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,CAACpB,GAAGA,EAAE,QAAQA,EAAE,QAAQiB,EAAE7B,GAAGA,EAAE,IAAIA,EAAE,UAAU,CAAC,OAAO6B,CAAC,CAAC,EAAE,KAAK,QAAQA,CAAC,GAAGiC,EAAG,OAAOC,GAAI,UAAUA,EAAG,OAAO,QAAQ,YAAY,MAAM,CAAC,CAAC,EAAMG,GAAGjE,GAAG,CAACkE,EAAGC,IAAK,EAAE,SAAStE,EAAEc,EAAEZ,EAAE,CAAC,SAASI,EAAE0B,EAAE,CAAC,IAAIC,EAAE,KAAKC,EAAE,GAAGD,EAAE,KAAK,UAAU,CAAC,IAAI,EAAEA,EAAE,EAAEY,EAAEZ,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAE,GAAG,GAAG,IAAI,EAAEY,EAAEA,EAAEA,EAAE,EAAE,EAAE,EAAE,GAAG,GAAG,IAAI,EAAE,EAAE,EAAE,EAAE,EAAE,EAAEZ,EAAE,EAAE,EAAE,GAAG,GAAG,IAAI,GAAGY,EAAEZ,EAAE,EAAEY,EAAEA,EAAE,EAAE,EAAEZ,EAAE,EAAE,GAAG,GAAGY,IAAI,GAAG,EAAEZ,EAAE,EAAE,EAAE,EAAE,CAAC,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,YAAYA,EAAE,EAAE,WAAWD,IAAI,KAAK,MAAMA,CAAC,GAAGC,EAAE,EAAED,EAAE,WAAW,EAAEC,EAAE,EAAED,EAAE,GAAGE,GAAGF,EAAE,QAAQG,EAAE,EAAEA,EAAED,EAAE,OAAO,GAAGC,IAAIF,EAAE,GAAGC,EAAE,WAAWC,CAAC,EAAE,EAAEF,EAAE,KAAK,CAAC,CAAC,SAAS1B,EAAEyB,EAAEC,EAAE,CAAC,OAAOA,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,CAAC,CAAC,SAASF,EAAEC,EAAEC,EAAE,CAAC,IAAIC,EAAE,IAAI5B,EAAE0B,CAAC,EAAEG,EAAEF,GAAGA,EAAE,MAAM,EAAE,UAAU,CAAC,OAAOC,EAAE,KAAK,IAAI,GAAG,UAAU,EAAE,OAAO,EAAE,OAAO,UAAU,CAAC,EAAG,KAAIW,EAAEX,EAAE,KAAK,IAAI,GAAG,GAAGA,EAAE,KAAK,IAAI,GAAG,WAAW,GAAGW,EAAE,IAAI,GAAG,UAAU,IAAI,GAAG,OAAO,CAAC,EAAE,EAAE,MAAMX,EAAE,KAAK,EAAE,MAAM,EAAEC,IAAI,OAAOA,GAAG,UAAU5B,EAAE4B,EAAED,CAAC,EAAE,EAAE,MAAM,UAAU,CAAC,OAAO3B,EAAE2B,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,CAACpB,GAAGA,EAAE,QAAQA,EAAE,QAAQiB,EAAE7B,GAAGA,EAAE,IAAIA,EAAE,UAAU,CAAC,OAAO6B,CAAC,CAAC,EAAE,KAAK,OAAOA,CAAC,GAAGsC,EAAG,OAAOC,GAAI,UAAUA,EAAG,OAAO,QAAQ,YAAY,MAAM,CAAC,CAAC,EAAMC,GAAGpE,GAAG,IAAI,CAAC,CAAC,EAAMqE,GAAGrE,GAAG,CAACsE,EAAGC,IAAK,EAAE,SAAS1E,EAAEc,EAAEZ,EAAE,CAAC,IAAII,EAAE,IAAIC,EAAE,EAAEwB,EAAE,GAAGC,EAAE,SAASC,EAAE/B,EAAE,IAAII,EAAEC,CAAC,EAAE2B,EAAEhC,EAAE,IAAI,EAAE6B,CAAC,EAAEI,EAAED,EAAE,EAAE,EAAE5B,EAAE,EAAEuC,EAAE,SAAS,EAAE8B,EAAEC,EAAEC,EAAE,CAAC,IAAIC,EAAE,CAAC,EAAEF,EAAEA,GAAG,GAAG,CAAC,QAAQ,EAAE,EAAEA,GAAG,CAAC,EAAE,IAAI,EAAET,EAAED,EAAEU,EAAE,QAAQ,CAACD,EAAEI,EAAEjE,CAAC,CAAC,EAAE6D,GAAG,KAAK,EAAE,EAAEA,EAAE,CAAC,EAAEG,CAAC,EAAEE,EAAE,IAAI,EAAEF,CAAC,EAAE,EAAE,UAAU,CAAC,QAAQG,EAAED,EAAE,EAAEzE,CAAC,EAAE2E,EAAEjD,EAAEkD,EAAE,EAAEF,EAAE/C,GAAG+C,GAAGA,EAAEE,GAAG7E,EAAE4E,GAAG5E,EAAE6E,EAAEH,EAAE,EAAE,CAAC,EAAE,KAAKC,GAAG9C,GAAG8C,GAAG,EAAEC,GAAG,EAAEC,KAAK,EAAE,OAAOF,EAAEE,GAAGD,CAAC,EAAE,OAAO,EAAE,MAAM,UAAU,CAAC,OAAOF,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,MAAM,UAAU,CAAC,OAAOA,EAAE,EAAE,CAAC,EAAE,UAAU,EAAE,EAAE,OAAO,EAAEb,EAAEY,EAAEC,EAAE,CAAC,EAAElE,CAAC,GAAG8D,EAAE,MAAMC,GAAG,SAASI,EAAEC,EAAEC,EAAEC,EAAE,CAAC,OAAOA,IAAIA,EAAE,GAAGpC,EAAEoC,EAAEJ,CAAC,EAAEC,EAAE,MAAM,UAAU,CAAC,OAAOjC,EAAEgC,EAAE,CAAC,CAAC,CAAC,GAAGG,GAAGjF,EAAE8B,GAAGiD,EAAEC,GAAGD,CAAC,GAAG,EAAE,EAAE,WAAWL,EAAEA,EAAE,OAAO,MAAM1E,EAAE0E,EAAE,KAAK,CAAC,CAAC,SAAS,EAAED,EAAE,CAAC,IAAIC,EAAEC,EAAEF,EAAE,OAAOG,EAAE,KAAK,EAAE,EAAEE,EAAEF,EAAE,EAAEA,EAAE,EAAE,EAAE,EAAEA,EAAE,EAAE,CAAC,EAAE,IAAID,IAAIF,EAAE,CAACE,GAAG,GAAG,EAAEvE,GAAG,EAAE,GAAG,IAAI,IAAI,EAAE,EAAE,EAAEA,EAAE,IAAI,EAAE,GAAG,EAAE0E,EAAE,EAAEA,EAAEL,EAAE,EAAEE,IAAID,EAAE,EAAE,KAAK,EAAEI,GAAGJ,GAAGE,EAAE,EAAE,SAASG,EAAE,CAAC,QAAQC,EAAEC,EAAE,EAAEC,EAAEN,EAAE,EAAEO,EAAEP,EAAE,EAAEQ,EAAER,EAAE,EAAEG,KAAKC,EAAEI,EAAEF,EAAE,EAAEA,EAAE,GAAGD,EAAEA,EAAE7E,EAAEgF,EAAE,GAAGA,EAAEF,GAAGE,EAAED,EAAE,EAAEA,EAAEH,KAAKI,EAAED,GAAGH,IAAI,OAAOJ,EAAE,EAAEM,EAAEN,EAAE,EAAEO,EAAEF,CAAC,GAAG7E,CAAC,CAAC,CAAC,SAAS0C,EAAE2B,EAAEC,EAAE,CAAC,OAAOA,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAE,MAAM,EAAEC,CAAC,CAAC,SAASV,EAAES,EAAEC,EAAE,CAAC,IAAIC,EAAE,CAAC,EAAEC,EAAE,OAAOH,EAAE,EAAE,GAAGC,GAAGE,GAAG,SAAS,IAAI,KAAKH,EAAE,GAAG,CAACE,EAAE,KAAKX,EAAES,EAAE,GAAGC,EAAE,CAAC,CAAC,CAAC,OAAOI,EAAN,CAAS,CAAC,OAAOH,EAAE,OAAOA,EAAEC,GAAG,SAASH,EAAEA,EAAE,IAAI,CAAC,SAASR,EAAEQ,EAAEC,EAAE,CAAC,QAAQC,EAAEF,EAAE,GAAGG,EAAE,EAAE,EAAE,EAAED,EAAE,QAAQD,EAAE,EAAE,GAAG,GAAGE,GAAGF,EAAE,EAAE,GAAG,IAAIC,EAAE,WAAW,GAAG,EAAE,OAAOE,EAAEH,CAAC,CAAC,CAAC,SAAS,GAAG,CAAC,GAAG,CAAC,IAAID,EAAE,OAAO9B,IAAI8B,EAAE9B,EAAE,aAAa8B,EAAEA,EAAErE,CAAC,GAAGqE,EAAE,IAAI,WAAWrE,CAAC,GAAGN,EAAE,QAAQA,EAAE,UAAU,gBAAgB2E,CAAC,GAAGI,EAAEJ,CAAC,CAAC,OAAOG,EAAN,CAAS,IAAIF,EAAE5E,EAAE,UAAU6E,EAAED,GAAGA,EAAE,QAAQ,MAAM,CAAC,CAAC,IAAI,KAAK5E,EAAE6E,EAAE7E,EAAE,OAAO+E,EAAEjE,CAAC,CAAC,CAAC,CAAC,CAAC,SAASiE,EAAEJ,EAAE,CAAC,OAAO,OAAO,aAAa,MAAM,EAAEA,CAAC,CAAC,CAAC,GAAGR,EAAEjE,EAAE,OAAO,EAAEY,CAAC,EAAE,OAAO4D,GAAI,UAAUA,EAAG,QAAQ,CAACA,EAAG,QAAQ,EAAE,GAAG,CAAC7B,EAAE0B,GAAG,CAAC,OAAOI,EAAN,CAAS,CAAC,MAAM,OAAO,QAAQ,YAAY,OAAO,IAAI,OAAO,UAAU,CAAC,OAAO,CAAC,CAAC,EAAEzE,EAAE,OAAO8B,GAAG,CAAC,GAAG,OAAO,MAAM,YAAY,KAAKyC,EAAG,CAAC,EAAE,IAAI,CAAC,CAAC,EAAMc,GAAGpF,GAAG,CAACqF,EAAIC,IAAK,CAAC,IAAIC,EAAGvC,GAAG,EAAEwC,EAAGrC,GAAG,EAAEsC,EAAGnC,GAAG,EAAEoC,EAAGjC,GAAG,EAAEkC,EAAG/B,GAAG,EAAEgC,EAAG3B,GAAG,EAAE4B,EAAGxB,GAAG,EAAEwB,EAAG,KAAKN,EAAGM,EAAG,OAAOL,EAAGK,EAAG,OAAOJ,EAAGI,EAAG,UAAUH,EAAGG,EAAG,QAAQF,EAAGE,EAAG,OAAOD,EAAGN,EAAG,QAAQO,CAAE,CAAC,EAAMC,GAAG9F,GAAG,IAAI,CAAC,CAAC,EAAM+F,GAAG/F,GAAG,IAAI,CAAC,CAAC,EAAMgG,GAAGhG,GAAG,IAAI,CAAC,CAAC,EAAMiG,GAAGjG,GAAG,IAAI,CAAC,CAAC,EAAMkG,GAAGlG,GAAG,IAAI,CAAC,CAAC,EAAMmG,GAAGnG,GAAG,IAAI,CAAC,CAAC,EAAMoG,GAAGpG,GAAG,CAACqG,EAAGC,IAAK,CAAC,IAAIC,GAAI,IAAI,CAAC,IAAI1G,EAAE,OAAO,UAAU,aAAa,SAAS,cAAc,SAAS,cAAc,IAAI,OAAO,OAAO,OAAO,YAAY,cAAcA,EAAEA,GAAG,YAAY,SAASc,EAAE,CAACA,EAAEA,GAAG,CAAC,EAAE,SAASZ,GAAG,CAAC,OAAOyG,GAAG,QAAQC,IAAIC,GAAGF,GAAG,MAAM,EAAEG,EAAE,CAAC,SAASxG,GAAG,CAAC,OAAOqG,GAAG,QAAQC,IAAIC,GAAGF,GAAG,MAAM,EAAEI,EAAE,CAAC,SAAS,GAAG,CAAC,OAAOJ,GAAG,QAAQC,IAAIC,GAAGF,GAAG,MAAM,EAAEK,EAAE,CAAC,SAASjF,GAAG,CAAC,OAAO4E,GAAG,QAAQC,IAAIC,GAAGF,GAAG,MAAM,EAAEM,EAAE,CAAC,SAASjF,GAAG,CAAC,OAAO2E,GAAG,QAAQC,IAAIC,GAAGF,GAAG,MAAM,EAAEO,EAAE,CAAC,SAASjF,GAAG,CAAC,OAAO0E,GAAG,QAAQC,IAAIC,GAAGF,GAAG,MAAM,EAAEQ,EAAE,CAAC,SAASjF,GAAG,CAAC,OAAOyE,GAAG,QAAQC,IAAIC,GAAGF,GAAG,MAAM,EAAES,EAAE,CAAC,IAAIjF,EAAE,OAAOrB,GAAG,YAAYA,EAAE,CAAC,EAAE8B,EAAEC,EAAEV,EAAE,MAAM,IAAI,QAAQ,SAASkF,EAAEC,EAAE,CAAC1E,EAAEyE,EAAExE,EAAEyE,CAAC,CAAC,EAAE,IAAIxE,EAAE,OAAO,SAAS,aAAa,QAAQ,YAAYA,EAAE,CAAC,kBAAkB,QAAQ,UAAU,mBAAmB,EAAE,mBAAmB,QAAQ,UAAU,oBAAoB,CAAC,GAAG,IAAIC,EAAE,OAAO,OAAO,CAAC,EAAEZ,CAAC,EAAEa,EAAE,CAAC,EAAEkB,EAAE,iBAAiBC,EAAE,CAACkD,EAAEC,IAAI,CAAC,MAAMA,CAAC,EAAEC,EAAE,OAAO,QAAQ,SAASxC,EAAE,OAAO,eAAe,WAAWJ,EAAE,OAAO,SAAS,UAAU,OAAO,QAAQ,UAAU,UAAU,OAAO,QAAQ,SAAS,MAAM,SAAS,EAAExC,EAAE,wBAAwB,GAAG0C,EAAE,GAAG,SAASC,EAAEuC,EAAE,CAAC,OAAOlF,EAAE,WAAWA,EAAE,WAAWkF,EAAExC,CAAC,EAAEA,EAAEwC,CAAC,CAAC,IAAIG,EAAExC,EAAEyC,EAAExC,EAAE,SAASC,EAAEmC,EAAE,CAAIA,aAAaK,IAAUC,EAAE,6BAA6BN,CAAC,CAAC,CAAC,GAAG1C,EAAE,CAACI,EAAEF,EAAEsB,GAAG,EAAE,QAAQtB,CAAC,EAAE,IAAIA,EAAE,UAAU,IAAI,IAAIM,EAAEC,EAAE,OAAOrF,IAAI,aAAaoF,EAAEe,GAAG,EAAEd,EAAEe,GAAG,GAAGqB,EAAE,CAACF,EAAEM,MAAMN,EAAElC,EAAE,UAAUkC,CAAC,EAAEnC,EAAE,aAAamC,EAAEM,GAAG,OAAO,MAAM,GAAGH,EAAEH,GAAG,CAAC,IAAIM,GAAGJ,EAAEF,EAAE,EAAE,EAAE,OAAOM,GAAG,SAASA,GAAG,IAAI,WAAWA,EAAE,GAAGA,EAAE,EAAE5C,EAAE,CAACsC,EAAEM,GAAGC,KAAK,CAACP,EAAElC,EAAE,UAAUkC,CAAC,EAAEnC,EAAE,SAASmC,EAAE,SAASQ,GAAGC,GAAG,CAACD,GAAGD,GAAGC,EAAE,EAAEF,GAAGG,GAAG,MAAM,CAAC,CAAC,CAAC,EAAE,QAAQ,KAAK,OAAO,IAAI7D,EAAE,QAAQ,KAAK,GAAG,QAAQ,MAAM,GAAG,GAAGlB,EAAE,QAAQ,KAAK,MAAM,CAAC,EAAE,QAAQ,GAAG,oBAAoB,SAASsE,EAAE,CAAC,GAAG,EAAEA,aAAaI,IAAI,MAAMJ,CAAC,CAAC,EAAE,QAAQ,GAAG,qBAAqB,SAASA,EAAE,CAAC,MAAMA,CAAC,CAAC,EAAEnD,EAAE,CAACmD,EAAEM,KAAK,CAAC,GAAGI,GAAG,EAAE,MAAM,QAAQ,SAASV,EAAEM,GAAG1C,EAAE0C,EAAE,EAAE,QAAQ,KAAKN,CAAC,CAAC,EAAEnF,EAAE,QAAQ,UAAU,CAAC,MAAM,4BAA4B,EAAE,IAAIkF,EAAE,GAAG,CAACA,EAAEjB,GAAG,CAAC,OAAOkB,EAAN,CAAS,MAAM,QAAQ,MAAM,yGAAyG,EAAEA,CAAC,CAAC,OAAO,OAAOD,EAAE,MAAM,MAAME,GAAGxC,KAAKA,EAAEF,EAAE,KAAK,SAAS,KAAK,OAAO,UAAU,aAAa,SAAS,gBAAgBA,EAAE,SAAS,cAAc,KAAK,OAAO7E,GAAG,aAAaA,IAAI6E,EAAE7E,GAAG6E,EAAE,QAAQ,OAAO,IAAI,EAAEA,EAAEA,EAAE,OAAO,EAAEA,EAAE,QAAQ,SAAS,EAAE,EAAE,YAAY,GAAG,EAAE,CAAC,EAAEA,EAAE,GAAGF,IAAI6C,EAAEH,GAAG,CAAC,IAAIC,EAAE,IAAI,eAAe,OAAOA,EAAE,KAAK,MAAMD,EAAE,EAAE,EAAEC,EAAE,KAAK,IAAI,EAAEA,EAAE,YAAY,EAAEvC,IAAI0C,EAAEJ,GAAG,CAAC,IAAIC,EAAE,IAAI,eAAe,OAAOA,EAAE,KAAK,MAAMD,EAAE,EAAE,EAAEC,EAAE,aAAa,cAAcA,EAAE,KAAK,IAAI,EAAE,IAAI,WAAWA,EAAE,QAAQ,CAAC,GAAGtC,EAAE,CAACqC,EAAEC,EAAEM,KAAK,CAAC,IAAIC,GAAG,IAAI,eAAeA,GAAG,KAAK,MAAMR,EAAE,EAAE,EAAEQ,GAAG,aAAa,cAAcA,GAAG,OAAO,IAAI,CAAC,GAAGA,GAAG,QAAQ,KAAKA,GAAG,QAAQ,GAAGA,GAAG,SAAS,CAACP,EAAEO,GAAG,QAAQ,EAAE,MAAM,CAACD,GAAG,CAAC,EAAEC,GAAG,QAAQD,GAAGC,GAAG,KAAK,IAAI,CAAC,GAAG5C,EAAEoC,GAAG,SAAS,MAAMA,GAAG1C,GAAG,OAAO,aAAa,cAAc,OAAO,YAAY0B,GAAG,EAAE,aAAa,IAAI,EAAE,QAAQ,IAAI,KAAK,OAAO,EAAEf,EAAE,QAAQ,KAAK,KAAK,OAAO,EAAEX,IAAI,EAAE0C,GAAGlC,EAAE,UAAU,EAAEkC,EAAE;AAAA,CAC94oB,EAAE/B,EAAE+B,GAAGlC,EAAE,UAAU,EAAEkC,EAAE;AAAA,CACvB,GAAG,IAAIY,EAAE9F,EAAE,OAAO,EAAEwF,EAAExF,EAAE,UAAUmD,EAAE,OAAO,OAAOnD,EAAEY,CAAC,EAAEA,EAAE,KAAKZ,EAAE,YAAYa,EAAEb,EAAE,WAAWA,EAAE,cAAc+B,EAAE/B,EAAE,aAAaA,EAAE,OAAOgC,EAAEhC,EAAE,MAAM,IAAI+F,GAAE,EAAEC,GAAG,QAAQ,KAAKC,GAAG,QAAQ,MAAMC,GAAG,QAAQ,gBAAgBC,GAAGnG,EAAE,aAAamG,GAAGnG,EAAE,YAAY,IAAIoG,GAAGpG,EAAE,eAAe,GAAG,OAAO,aAAa,UAAUqG,GAAG,iCAAiC,EAAE,IAAI7B,GAAG8B,GAAGC,GAAG,GAAGC,GAAG,SAASC,GAAGvB,EAAEC,EAAE,CAACD,GAAGmB,GAAGlB,CAAC,CAAC,CAAC,IAAIuB,GAAG,OAAO,aAAa,YAAY,IAAI,YAAY,MAAM,EAAE,OAAO,SAASC,GAAGzB,EAAEC,EAAEM,GAAG,CAAC,QAAQC,GAAGP,EAAEM,GAAGE,GAAGR,EAAED,EAAES,KAAK,EAAEA,IAAID,KAAK,EAAEC,GAAG,GAAGA,GAAGR,EAAE,IAAID,EAAE,QAAQwB,GAAG,OAAOA,GAAG,OAAOxB,EAAE,kBAAkB,kBAAkBA,EAAE,MAAMC,EAAEQ,EAAE,EAAET,EAAE,SAASC,EAAEQ,EAAE,CAAC,EAAE,QAAQC,GAAG,GAAGT,EAAEQ,IAAI,CAAC,IAAIiB,GAAG1B,EAAEC,KAAK,GAAG,EAAEyB,GAAG,KAAK,CAAChB,IAAI,OAAO,aAAagB,EAAE,EAAE,QAAQ,CAAC,IAAIC,GAAG3B,EAAEC,KAAK,GAAG,IAAIyB,GAAG,MAAM,IAAI,CAAChB,IAAI,OAAO,cAAcgB,GAAG,KAAK,EAAEC,EAAE,EAAE,QAAQ,CAAC,IAAIC,GAAG5B,EAAEC,KAAK,GAAG,IAAIyB,GAAG,MAAM,IAAIA,IAAIA,GAAG,KAAK,GAAGC,IAAI,EAAEC,GAAGF,IAAIA,GAAG,IAAI,GAAGC,IAAI,GAAGC,IAAI,EAAE5B,EAAEC,KAAK,GAAGyB,GAAG,MAAMhB,IAAI,OAAO,aAAagB,EAAE,MAAM,CAAC,IAAIG,GAAGH,GAAG,MAAMhB,IAAI,OAAO,aAAa,MAAMmB,IAAI,GAAG,MAAMA,GAAG,IAAI,CAAC,CAAC,CAAC,OAAOnB,EAAE,CAAC,SAASoB,GAAG9B,EAAEC,EAAE,CAAC,OAAOD,EAAEyB,GAAGxI,EAAE,EAAE+G,EAAEC,CAAC,EAAE,EAAE,CAAC,SAAS8B,GAAG/B,EAAEC,EAAEM,GAAGC,GAAG,CAAC,GAAG,EAAEA,GAAG,GAAG,MAAO,GAAE,QAAQC,GAAGF,GAAGG,GAAGH,GAAGC,GAAG,EAAEkB,GAAG,EAAEA,GAAG1B,EAAE,OAAO,EAAE0B,GAAG,CAAC,IAAIC,GAAG3B,EAAE,WAAW0B,EAAE,EAAE,GAAGC,IAAI,OAAOA,IAAI,MAAM,CAAC,IAAIC,GAAG5B,EAAE,WAAW,EAAE0B,EAAE,EAAEC,GAAG,QAAQA,GAAG,OAAO,IAAIC,GAAG,IAAI,CAAC,GAAGD,IAAI,IAAI,CAAC,GAAGpB,IAAIG,GAAG,MAAMT,EAAEM,MAAMoB,EAAE,SAASA,IAAI,KAAK,CAAC,GAAGpB,GAAG,GAAGG,GAAG,MAAMT,EAAEM,MAAM,IAAIoB,IAAI,EAAE1B,EAAEM,MAAM,IAAIoB,GAAG,EAAE,SAASA,IAAI,MAAM,CAAC,GAAGpB,GAAG,GAAGG,GAAG,MAAMT,EAAEM,MAAM,IAAIoB,IAAI,GAAG1B,EAAEM,MAAM,IAAIoB,IAAI,EAAE,GAAG1B,EAAEM,MAAM,IAAIoB,GAAG,EAAE,KAAK,CAAC,GAAGpB,GAAG,GAAGG,GAAG,MAAMT,EAAEM,MAAM,IAAIoB,IAAI,GAAG1B,EAAEM,MAAM,IAAIoB,IAAI,GAAG,GAAG1B,EAAEM,MAAM,IAAIoB,IAAI,EAAE,GAAG1B,EAAEM,MAAM,IAAIoB,GAAG,EAAE,CAAC,CAAC,OAAO1B,EAAEM,IAAI,EAAEA,GAAGE,EAAE,CAAC,SAASuB,GAAGhC,EAAEC,EAAEM,GAAG,CAAC,OAAOwB,GAAG/B,EAAE/G,EAAE,EAAEgH,EAAEM,EAAE,CAAC,CAAC,IAAIhB,GAAGE,GAAGC,GAAGC,GAAGsC,GAAGrC,GAAGC,GAAGC,GAAGC,GAAG,IAAIR,GAAGzE,EAAE,QAAQ,SAAS0E,GAAGQ,EAAE,CAACT,GAAGS,EAAElF,EAAE,MAAM2E,GAAG,IAAI,UAAUO,CAAC,EAAElF,EAAE,OAAO6E,GAAG,IAAI,WAAWK,CAAC,EAAElF,EAAE,OAAO8E,GAAG,IAAI,WAAWI,CAAC,EAAElF,EAAE,OAAO4E,GAAG,IAAI,WAAWM,CAAC,EAAElF,EAAE,QAAQmH,GAAG,IAAI,YAAYjC,CAAC,EAAElF,EAAE,QAAQ+E,GAAG,IAAI,YAAYG,CAAC,EAAElF,EAAE,QAAQgF,GAAG,IAAI,aAAaE,CAAC,EAAElF,EAAE,QAAQiF,GAAG,IAAI,aAAaC,CAAC,CAAC,CAAC,IAAIkC,GAAGpH,EAAE,gBAAgB,SAAS,GAAG,EAAEwE,GAAGxE,EAAE,WAAWyE,GAAGzE,EAAE,eAAeA,EAAE,WAAWwE,GAAGxE,EAAE,mBAAmBwE,GAAG,IAAI,YAAY,OAAO,CAAC,QAAQ4C,GAAG,MAAM,QAAQ,MAAM,OAAO,EAAE,CAAC,EAAE,EAAE5C,GAAG,kBAAkB,mBAAmB,MAAMgB,EAAE,6NAA6N,EAAEhD,GAAG,QAAQ,IAAI,mHAAmH,EAAE,MAAM,YAAY,EAAEgC,KAAKC,GAAGD,GAAG,QAAQ4C,GAAG3C,GAAG,WAAWC,GAAGD,EAAE,EAAE,IAAI4C,GAAGC,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAEC,GAAG,GAAG,SAAS5B,IAAI,CAAC,OAAOO,EAAE,CAAC,SAASsB,IAAI,CAAC,GAAG1H,EAAE,OAAO,IAAI,OAAOA,EAAE,QAAQ,aAAaA,EAAE,OAAO,CAACA,EAAE,MAAM,GAAGA,EAAE,OAAO,QAAQ2H,GAAG3H,EAAE,OAAO,MAAM,CAAC,EAAE4H,GAAGN,EAAE,CAAC,CAAC,SAASO,IAAI,CAACJ,GAAG,GAAG,CAAC,GAAGG,GAAGL,EAAE,CAAC,CAAC,SAASO,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG9H,EAAE,QAAQ,IAAI,OAAOA,EAAE,SAAS,aAAaA,EAAE,QAAQ,CAACA,EAAE,OAAO,GAAGA,EAAE,QAAQ,QAAQ+H,GAAG/H,EAAE,QAAQ,MAAM,CAAC,EAAE4H,GAAGJ,EAAE,CAAC,CAAC,CAAC,SAASG,GAAGzC,EAAE,CAACoC,GAAG,QAAQpC,CAAC,CAAC,CAAC,SAAS8C,GAAG9C,EAAE,CAACqC,GAAG,QAAQrC,CAAC,CAAC,CAAC,SAAS6C,GAAG7C,EAAE,CAACsC,GAAG,QAAQtC,CAAC,CAAC,CAAC,IAAI+C,GAAG,EAAEC,GAAG,KAAKC,GAAG,KAAK,SAASC,GAAGlD,EAAE,CAAC+C,KAAKjI,EAAE,wBAAwBA,EAAE,uBAAuBiI,EAAE,CAAC,CAAC,SAASI,GAAGnD,EAAE,CAAC,GAAG+C,KAAKjI,EAAE,wBAAwBA,EAAE,uBAAuBiI,EAAE,EAAEA,IAAI,IAAIC,KAAK,OAAO,cAAcA,EAAE,EAAEA,GAAG,MAAMC,IAAI,CAAC,IAAIhD,EAAEgD,GAAGA,GAAG,KAAKhD,EAAE,CAAC,CAAC,CAAC,SAASkB,GAAGnB,EAAE,CAAC,EAAE,YAAY,CAAC,IAAI,UAAU,IAAIA,CAAC,CAAC,EAAElF,EAAE,SAASA,EAAE,QAAQkF,CAAC,EAAEA,EAAE,WAAWA,EAAE,IAAIM,EAAEN,CAAC,EAAEqB,GAAG,GAAGC,GAAG,EAAEtB,GAAG,2CAA2C,IAAIC,EAAE,IAAI,YAAY,aAAaD,CAAC,EAAE,MAAMxE,EAAEyE,CAAC,EAAEA,CAAC,CAAC,IAAImD,GAAG,wCAAwC,SAASC,GAAGrD,EAAE,CAAC,OAAOA,EAAE,WAAWoD,EAAE,CAAC,CAAC,SAASE,GAAGtD,EAAE,CAAC,OAAOA,EAAE,WAAW,SAAS,CAAC,CAAC,IAAIuD,GAAGA,GAAG,uCAAuCF,GAAGE,EAAE,IAAIA,GAAG9F,EAAE8F,EAAE,GAAG,SAASC,GAAGxD,EAAE,CAAC,GAAG,CAAC,GAAGA,GAAGuD,IAAItC,GAAG,OAAO,IAAI,WAAWA,EAAE,EAAE,GAAGb,EAAE,OAAOA,EAAEJ,CAAC,EAAE,KAAK,iDAAiD,OAAOC,EAAN,CAASkB,GAAGlB,CAAC,CAAC,CAAC,CAAC,SAASwD,IAAI,CAAC,GAAG,CAACxC,KAAKf,GAAGxC,GAAG,CAAC,GAAG,OAAO,OAAO,YAAY,CAAC4F,GAAGC,EAAE,EAAE,OAAO,MAAMA,GAAG,CAAC,YAAY,aAAa,CAAC,EAAE,KAAK,SAASvD,EAAE,CAAC,GAAG,CAACA,EAAE,GAAG,KAAK,uCAAuCuD,GAAG,IAAI,OAAOvD,EAAE,YAAY,CAAC,CAAC,EAAE,MAAM,UAAU,CAAC,OAAOwD,GAAGD,EAAE,CAAC,CAAC,EAAE,GAAG5F,EAAE,OAAO,IAAI,QAAQ,SAASqC,EAAEC,EAAE,CAACtC,EAAE4F,GAAG,SAAShD,GAAG,CAACP,EAAE,IAAI,WAAWO,EAAE,CAAC,CAAC,EAAEN,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO,QAAQ,QAAQ,EAAE,KAAK,UAAU,CAAC,OAAOuD,GAAGD,EAAE,CAAC,CAAC,CAAC,CAAC,SAASG,IAAI,CAAC,IAAI1D,EAAE,CAAC,IAAI2D,GAAG,uBAAuBA,EAAE,EAAE,SAAS1D,EAAEyB,GAAGC,GAAG,CAAC,IAAIC,GAAGF,GAAG,QAAQ,GAAG5G,EAAE,IAAI8G,GAAGgC,GAAG9I,EAAE,IAAI,oBAAoB,EAAEqH,GAAGrH,EAAE,IAAI,0BAA0BgI,GAAGhI,EAAE,IAAI,iBAAiB,EAAEsG,GAAGO,GAAG,CAAC,EAAE,CAAC,IAAIE,GAAGgC,GAAG,cAAc,OAAOA,GAAG,cAAc,QAAQ,SAASC,GAAG,CAACD,GAAG,uBAAuBC,GAAG,UAAU,CAAC,EAAEjC,IAAIsB,GAAG,kBAAkB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,GAAGD,GAAG,kBAAkB,EAAE,SAAS3C,GAAGmB,GAAG,CAACzB,EAAEyB,GAAG,SAASA,GAAG,MAAM,CAAC,CAAC,SAASlB,GAAGkB,GAAG,CAAC,OAAO+B,GAAG,EAAE,KAAK,SAAS9B,GAAG,CAAC,OAAO,YAAY,YAAYA,GAAG3B,CAAC,CAAC,CAAC,EAAE,KAAK,SAAS2B,GAAG,CAAC,OAAOA,EAAE,CAAC,EAAE,KAAKD,GAAG,SAASC,GAAG,CAACrB,EAAE,0CAA0CqB,EAAE,EAAER,GAAGQ,EAAE,CAAC,CAAC,CAAC,CAAC,SAASlB,IAAI,CAAC,MAAM,CAACQ,IAAI,OAAO,YAAY,sBAAsB,YAAY,CAACoC,GAAGE,EAAE,GAAG,CAACD,GAAGC,EAAE,GAAG,CAACjG,GAAG,OAAO,OAAO,WAAW,MAAMiG,GAAG,CAAC,YAAY,aAAa,CAAC,EAAE,KAAK,SAAS7B,GAAG,CAAC,IAAIC,GAAG,YAAY,qBAAqBD,GAAG1B,CAAC,EAAE,OAAO2B,GAAG,KAAKpB,GAAG,SAASqB,GAAG,CAAC,OAAOtB,EAAE,kCAAkCsB,EAAE,EAAEtB,EAAE,2CAA2C,EAAEE,GAAGD,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEC,GAAGD,EAAE,CAAC,CAAC,GAAGzF,EAAE,gBAAgB,GAAG,CAAC,IAAI4F,GAAG5F,EAAE,gBAAgBkF,EAAEC,CAAC,EAAE,OAAOS,EAAE,OAAOgB,GAAN,CAAUpB,EAAE,sDAAsDoB,EAAE,EAAElG,EAAEkG,EAAE,CAAC,CAAC,OAAOjB,GAAG,EAAE,MAAMjF,CAAC,EAAE,CAAC,CAAC,CAAC,IAAIuI,GAAGC,GAAGC,GAAG,CAAC,EAAE,SAAS5D,GAAGL,EAAE,CAAC,KAAK,KAAK,aAAa,KAAK,QAAQ,gCAAgCA,EAAE,IAAI,KAAK,OAAOA,CAAC,CAAC,SAASkE,GAAGlE,EAAE,CAAC,IAAIC,EAAE4D,GAAG,SAAS7D,GAAG,OAAO6D,GAAG,SAAS7D,GAAGC,EAAE,UAAU,EAAEkE,GAAGnE,CAAC,EAAE6D,GAAG,eAAe,OAAOA,GAAG,eAAe,QAAQ5D,CAAC,EAAE,CAAC,EAAEA,EAAE,YAAY,CAAC,CAAC,SAASmE,GAAGpE,EAAE,CAAC,IAAIC,EAAE4D,GAAG,SAAS7D,GAAGC,EAAE,YAAY,CAAC,IAAI,QAAQ,CAAC,CAAC,CAAC,SAASoE,GAAGrE,EAAE,CAAC,IAAIC,EAAE4D,GAAG,SAAS7D,GAAGuB,GAAGtB,CAAC,EAAE4D,GAAG,mBAAmB5D,CAAC,CAAC,CAAC,SAASqE,GAAGtE,EAAE,CAAC,IAAIC,EAAE4D,GAAG,aAAa,EAAE,GAAG,CAAC5D,EAAE,MAAO,GAAE4D,GAAG,eAAe,KAAK5D,CAAC,EAAE4D,GAAG,SAAS7D,EAAE,aAAaC,EAAEA,EAAE,YAAYD,EAAE,YAAY,IAAIO,GAAG,CAAC,IAAI,MAAM,cAAcP,EAAE,aAAa,IAAIA,EAAE,IAAI,YAAYA,EAAE,WAAW,EAAE,OAAOC,EAAE,WAAW,IAAI,CAACM,GAAG,KAAK,YAAY,IAAI,EAAEN,EAAE,YAAYM,GAAGP,EAAE,YAAY,CAAC,EAAEC,EAAE,SAASA,EAAE,WAAW,EAAE,OAAOA,EAAE,YAAY,CAAC,CAAC,IAAIsE,GAAG,CAAC,QAAQ,OAAO,IAAI,UAAU,CAACA,GAAG,SAAS,EAAE,IAAIvE,EAAEtF,EAAE,EAAE6J,GAAG,QAAQ,GAAG,GAAG,OAAOvE,CAAC,EAAE,OAAO,SAASA,EAAE,CAAC,IAAIC,EAAE6B,GAAG9B,CAAC,EAAE,OAAOC,CAAC,CAAC,EAAE,SAASuE,GAAGxE,EAAE,CAAC,GAAG,EAAE,OAAOyE,GAAG,EAAE,EAAEzE,CAAC,EAAEsB,GAAGtB,EAAEW,GAAG,IAAIkD,GAAG,oBAAoB,EAAE/I,EAAE,QAAQA,EAAE,OAAOkF,CAAC,EAAEqB,GAAG,IAAIvE,EAAEkD,EAAE,IAAIK,GAAGL,CAAC,CAAC,CAAC,CAAC,SAAS0E,GAAG1E,EAAEC,EAAE,CAAC,GAAGqB,GAAGtB,EAAE,CAACC,GAAG,EAAE,MAAM0E,GAAG3E,CAAC,EAAE,SAASwE,GAAGxE,CAAC,CAAC,CAAC,IAAI4E,GAAGF,GAAG,SAASG,GAAG7E,EAAE,CAAC,GAAGA,aAAaK,IAAIL,GAAG,SAAS,OAAOsB,GAAGxE,EAAE,EAAEkD,CAAC,CAAC,CAAC,IAAI6D,GAAG,CAAC,cAAc,CAAC,EAAE,eAAe,CAAC,EAAE,iBAAiB,CAAC,EAAE,SAAS,CAAC,EAAE,KAAK,UAAU,CAAC,EAAEA,GAAG,WAAW,EAAEA,GAAG,eAAe,CAAC,EAAE,eAAe,UAAU,CAAC,QAAQ7D,EAAE,EAAEA,KAAK6D,GAAG,qBAAqB,CAAC,EAAE,WAAW,UAAU,CAAC3C,GAAG,EAAE,EAAE,cAAc,SAASlB,EAAE,CAACsB,GAAGtB,CAAC,EAAE,oBAAoB,UAAU,CAAC,QAAQA,KAAK,OAAO,OAAO6D,GAAG,QAAQ,EAAEA,GAAG,mBAAmB7D,CAAC,EAAE,QAAQA,KAAK6D,GAAG,cAAc7D,EAAE,UAAU,EAAE6D,GAAG,cAAc,CAAC,CAAC,EAAE,mBAAmB,SAAS7D,EAAE,CAAC,IAAIC,EAAED,EAAE,YAAY,OAAO6D,GAAG,SAAS5D,GAAG4D,GAAG,cAAc,KAAK7D,CAAC,EAAE6D,GAAG,eAAe,OAAOA,GAAG,eAAe,QAAQ7D,CAAC,EAAE,CAAC,EAAEA,EAAE,YAAY,EAAEmE,GAAGlE,CAAC,CAAC,EAAE,sBAAsB,SAASD,EAAE,CAAC,EAAE,cAAc,UAAU,CAAC6D,GAAG,iBAAiB,QAAQ7D,GAAGA,EAAE,CAAC,CAAC,EAAE,uBAAuB,SAASA,EAAEC,EAAE,CAACD,EAAE,UAAUO,IAAI,CAAC,IAAIC,GAAGD,GAAG,KAAKE,GAAGD,GAAG,IAAI,GAAGR,EAAE,cAAc6D,GAAG,oCAAoC7D,EAAE,aAAaQ,GAAG,cAAcA,GAAG,cAAcsE,GAAG,EAAE,CAAC,IAAIpE,GAAGmD,GAAG,SAASrD,GAAG,cAAcE,GAAGA,GAAG,YAAYF,GAAGA,GAAG,YAAY,EAAEF,EAAE,0CAA0CG,GAAG,uBAAuBD,GAAG,aAAa,qCAAqC,EAAEqD,GAAG,oCAAoC,OAAO,MAAM,CAACpD,KAAK,uBAAuBsE,GAAGvE,GAAG,KAAK,EAAEC,KAAK,cAAc6D,GAAG9D,EAAE,EAAEC,KAAK,gBAAgB4D,GAAG7D,GAAG,MAAM,EAAEC,KAAK,aAAayD,GAAG1D,GAAG,MAAM,EAAEC,KAAK,eAAe2D,GAAG5D,GAAG,MAAM,EAAEC,KAAK,UAAUT,EAAE,OAAO,GAAGC,GAAGA,EAAED,CAAC,EAAEA,EAAE,aAAaA,EAAE,WAAW,EAAE,OAAOA,EAAE,aAAaS,KAAK,QAAQG,EAAE,UAAUJ,GAAG,SAAS,KAAKA,GAAG,IAAI,EAAEC,KAAK,WAAWH,EAAE,UAAUE,GAAG,SAAS,KAAKA,GAAG,IAAI,EAAEC,KAAK,QAAQ,MAAM,UAAUD,GAAG,SAAS,KAAKA,GAAG,IAAI,EAAEA,GAAG,SAAS,eAAeR,EAAE,YAAYQ,EAAE,EAAEC,KAAK,UAAU3F,EAAE,SAASA,EAAE,QAAQ0F,GAAG,GAAG,EAAEC,IAAIH,EAAE,kCAAkCG,EAAE,EAAEoD,GAAG,oCAAoC,MAAM,EAAE7D,EAAE,QAAQO,IAAI,CAAC,IAAIC,GAAG,wBAAwB,MAAMF,EAAEE,GAAG,IAAID,GAAG,SAAS,IAAIA,GAAG,OAAO,KAAKA,GAAG,OAAO,EAAEA,EAAE,EAAEjD,IAAI0C,EAAE,GAAG,UAAU,SAASO,GAAG,CAACP,EAAE,UAAU,CAAC,KAAKO,EAAE,CAAC,CAAC,CAAC,EAAEP,EAAE,GAAG,QAAQ,SAASO,GAAG,CAACP,EAAE,QAAQO,EAAE,CAAC,CAAC,EAAEP,EAAE,GAAG,eAAe,UAAU,CAAC,CAAC,GAAGA,EAAE,YAAY,CAAC,IAAI,OAAO,UAAUlF,EAAE,qBAAqBnC,EAAE,WAAW2G,GAAG,WAAW8B,EAAE,CAAC,CAAC,EAAE,qBAAqB,UAAU,CAAC,IAAIpB,EAAEvC,EAAE,2CAA2C,EAAEoG,GAAG,cAAc,KAAK,IAAI,OAAO7D,CAAC,CAAC,CAAC,EAAE,aAAa,UAAU,CAAC,OAAO6D,GAAG,cAAc,QAAQ,IAAIA,GAAG,qBAAqB,EAAEA,GAAG,uBAAuBA,GAAG,cAAc,EAAE,GAAGA,GAAG,cAAc,IAAI,CAAC,CAAC,EAAE/I,EAAE,QAAQ+I,GAAG,SAASnB,GAAG1C,EAAE,CAAC,KAAKA,EAAE,OAAO,GAAGA,EAAE,MAAM,EAAElF,CAAC,CAAC,CAAC,SAASkK,GAAGhF,EAAE,CAAC,IAAIC,EAAEgF,GAAG,EAAE1E,GAAGP,EAAE,EAAE,OAAOkF,GAAGjF,CAAC,EAAEM,EAAE,CAAC,SAAS4E,GAAGnF,EAAE,CAAC,OAAOA,CAAC,CAAC,SAASoF,GAAGpF,EAAE,CAAC,IAAIC,EAAE,gBAAgB,OAAOD,EAAE,QAAQC,EAAE,SAASM,GAAG,CAAC,IAAIC,GAAGD,GAAG,OAAOA,KAAKC,GAAGD,GAAGC,GAAG,KAAKD,GAAG,GAAG,CAAC,CAAC,CAAC,SAAS8E,IAAI,CAAC,IAAIrF,EAAE8E,GAAG,EAAE7E,EAAEvF,EAAE,EAAEsF,EAAE,IAAI,GAAGO,GAAG7F,EAAE,EAAEsF,EAAE,IAAI,GAAGQ,GAAGP,EAAEM,GAAG+E,GAAGrF,EAAEO,EAAE,EAAE0E,GAAGjF,CAAC,CAAC,CAACnF,EAAE,oBAAoBuK,GAAG,SAASV,GAAG3E,EAAE,CAAC,GAAG,EAAE,OAAOyE,GAAG,EAAE,EAAEzE,CAAC,EAAE,GAAG,CAAC4E,GAAG5E,CAAC,CAAC,OAAOC,EAAN,CAAS4E,GAAG5E,CAAC,CAAC,CAAC,CAAC,IAAIsF,GAAG,CAAC,EAAE,SAASC,GAAGxF,EAAE,CAAC,IAAIC,EAAEsF,GAAGvF,GAAG,OAAOC,IAAID,GAAGuF,GAAG,SAASA,GAAG,OAAOvF,EAAE,GAAGuF,GAAGvF,GAAGC,EAAEkC,GAAG,IAAInC,CAAC,GAAGC,CAAC,CAAC,SAASwF,GAAGzF,EAAEC,EAAE,CAAC,IAAIM,GAAGiF,GAAGxF,CAAC,EAAEC,CAAC,EAAEU,GAAG,EAAEkD,GAAG,cAActD,EAAE,EAAEmF,GAAGnF,EAAE,CAAC,CAACzF,EAAE,iBAAiB2K,GAAG,SAASE,IAAI,CAAC,IAAI3F,EAAE,IAAI,MAAM,GAAG,CAACA,EAAE,MAAM,CAAC,GAAG,CAAC,MAAM,IAAI,KAAK,OAAOC,EAAN,CAASD,EAAEC,CAAC,CAAC,GAAG,CAACD,EAAE,MAAM,MAAM,4BAA4B,CAAC,OAAOA,EAAE,MAAM,SAAS,CAAC,CAAC,SAAS4D,GAAG5D,EAAE,CAAC6D,GAAG,iBAAiB,KAAK7D,CAAC,CAAC,CAAC,SAAS4F,GAAG5F,EAAEC,EAAE,CAACpH,EAAE,EAAE,IAAImH,EAAEC,CAAC,CAAC,CAAC,SAAS4F,GAAG7F,EAAE,CAAC8F,GAAG9F,EAAE,CAACtC,EAAE,EAAE,CAACwC,CAAC,EAAE2D,GAAG,cAAc,CAAC,CAAC,SAASkC,GAAG/F,EAAE,CAAC,EAAE,YAAY,CAAC,IAAI,gBAAgB,OAAOA,CAAC,CAAC,EAAEqE,GAAGrE,CAAC,CAAC,CAAC,SAASgG,GAAGhG,EAAEC,EAAEM,GAAGC,GAAG,CAAC,OAAO,EAAEiE,GAAG,EAAE,EAAEzE,EAAEC,EAAEM,GAAGC,EAAE,EAAEyF,GAAGjG,EAAEC,EAAEM,GAAGC,EAAE,CAAC,CAAC,SAASyF,GAAGjG,EAAEC,EAAEM,GAAGC,GAAG,CAAC,GAAG,OAAO,mBAAmB,YAAY,OAAOF,EAAE,qFAAqF,EAAE,EAAE,IAAIG,GAAG,CAAC,EAAEC,GAAG,EAAE,GAAG,IAAID,GAAG,SAAS,GAAGC,IAAI,OAAOsF,GAAGhG,EAAEC,EAAEM,GAAGC,EAAE,EAAE,GAAGE,GAAG,OAAOA,GAAG,IAAIgB,GAAG,CAAC,aAAanB,GAAG,YAAYP,EAAE,IAAIQ,GAAG,aAAaC,EAAE,EAAE,OAAO,GAAGiB,GAAG,IAAI,cAAc,YAAYA,GAAGjB,EAAE,EAAE,GAAG6D,GAAG5C,EAAE,CAAC,CAAC,SAASwE,IAAI,CAAC,MAAO,QAAO,CAAC,IAAIC,GAAG,GAAG,SAASC,IAAI,CAAC,OAAOD,EAAE,CAAC,SAASpB,GAAG/E,EAAE,CAAC,QAAQ,MAAMtF,EAAE,EAAEsF,GAAG,EAAE,CAAC,EAAE8E,GAAG,GAAGuB,GAAGrG,CAAC,EAAE,QAAQ,gBAAgBtF,EAAE,EAAEsF,GAAG,EAAE,EAAE,CAAC,CAAC,CAAClF,EAAE,6BAA6BiK,GAAG,SAASuB,GAAGtG,EAAEC,EAAEM,GAAGC,GAAG,CAAC,GAAGR,GAAGC,EAAE,WAAW,IAAI8E,GAAGvE,EAAE,CAAC,UAAU,EAAE,YAAY,CAAC,aAAaR,EAAE,IAAI,uBAAuB,MAAMQ,EAAE,CAAC,MAAM,CAAC,IAAIC,GAAGoD,GAAG,SAAS7D,GAAG,GAAG,CAACS,GAAG,OAAOA,GAAG,YAAY,CAAC,IAAI,uBAAuB,MAAMD,EAAE,CAAC,CAAC,CAAC,MAAO,EAAC,CAAC,SAAS+F,GAAGvG,EAAEC,EAAEM,GAAG,CAAC,MAAM,EAAE,CAAC,SAASiG,IAAI,CAACrF,GAAG,EAAE,CAAC,CAAC,SAASsF,GAAGzG,EAAE,CAACyG,GAAG,QAAQA,GAAG,MAAM,CAAC,GAAGA,GAAG,MAAMzG,KAAKyG,GAAG,MAAMzG,GAAG,EAAE1C,IAAI0C,EAAE,YAAYA,GAAGM,EAAEN,CAAC,EAAE,CAAC,SAAS0G,IAAI,CAACpJ,GAAGI,GAAG+I,GAAG,0IAA0I,CAAC,CAAC,SAASE,IAAI,CAAC,OAAO,KAAK,IAAI,CAAC,CAAC,SAASC,IAAI,CAAC,MAAO,WAAU,CAAC,SAASC,IAAI,CAAC,OAAOD,GAAG,CAAC,CAAC,IAAIE,GAAGxJ,EAAEwJ,GAAG,IAAI,CAAC,IAAI9G,EAAE,QAAQ,OAAO,EAAE,OAAOA,EAAE,GAAG,IAAIA,EAAE,GAAG,GAAG,EAAE,EAAE8G,GAAG,IAAI,YAAY,IAAI,EAAEhM,EAAE,8BAA8BgM,GAAG,IAAI,YAAY,IAAI,EAAE,SAASC,GAAG/G,EAAEC,EAAEM,GAAG,CAACtH,EAAE,EAAE,WAAW+G,EAAEC,EAAEA,EAAEM,EAAE,CAAC,CAAC,SAASyG,IAAI,CAAC,OAAO1J,EAAE2B,GAAG,EAAE,KAAK,EAAE,OAAO,UAAU,mBAAmB,CAAC,SAASwF,GAAGzE,EAAEC,EAAE,CAAC,IAAIM,GAAG,UAAU,OAAO,EAAEC,GAAG,UAAU,OAAOwE,GAAG,IAAI,CAAC,QAAQvE,GAAGF,GAAGG,GAAGuG,GAAGxG,GAAG,CAAC,EAAEiB,GAAGhB,IAAI,EAAEiB,GAAG,EAAEA,GAAGpB,GAAGoB,KAAK,CAAC,IAAIC,GAAGpB,GAAG,EAAEmB,IAAI9G,EAAE,EAAE6G,GAAGC,IAAIC,EAAE,CAAC,OAAOsF,GAAGlH,EAAES,GAAGC,GAAGT,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIkH,GAAG,CAAC,EAAE,SAASC,GAAGpH,EAAEC,EAAEM,GAAG,CAAC4G,GAAG,OAAOlH,EAAE,QAAQO,GAAGD,IAAI,EAAEE,GAAG,EAAEA,GAAGR,EAAEQ,KAAK0G,GAAG1G,IAAI5F,EAAE,EAAE2F,GAAGC,IAAI,IAAIC,GAAGV,EAAE,EAAE0B,GAAGhB,GAAGuD,GAAG,CAACjE,EAAE,GAAGqH,GAAGrH,GAAG,OAAO0B,GAAG,MAAM,KAAKyF,EAAE,CAAC,CAAC,SAASG,GAAGtH,EAAE,CAAC,GAAG,CAAC,OAAOV,GAAG,KAAKU,EAAET,GAAG,WAAW,QAAQ,EAAE,EAAEC,GAAGF,GAAG,MAAM,EAAE,CAAC,OAAOW,EAAN,CAAS,CAAC,CAAC,SAASsH,GAAGvH,EAAE,CAAC,IAAIC,EAAEhH,EAAE,EAAE,OAAO,GAAG+G,EAAEA,IAAI,EAAEA,GAAGC,EAAE,MAAM,GAAG,IAAIM,GAAGqG,GAAG,EAAE,GAAG5G,EAAEO,GAAG,MAAM,GAAG,IAAIC,GAAG,CAACoB,GAAGC,KAAKD,IAAIC,GAAGD,GAAGC,IAAIA,GAAG,QAAQpB,GAAG,EAAEA,IAAI,EAAEA,IAAI,EAAE,CAAC,IAAIC,GAAGT,GAAG,EAAE,GAAGQ,IAAIC,GAAG,KAAK,IAAIA,GAAGV,EAAE,SAAS,EAAE,IAAI0B,GAAG,KAAK,IAAInB,GAAGC,GAAG,KAAK,IAAIR,EAAEU,EAAE,EAAE,KAAK,CAAC,EAAEiB,GAAG2F,GAAG5F,EAAE,EAAE,GAAGC,GAAG,MAAM,EAAE,CAAC,MAAM,EAAE,CAAC,SAAS6F,IAAI,CAAC,KAAK,QAAQ,CAAC,SAASC,GAAGzH,EAAE,CAAC,OAAO,EAAEyE,GAAG,EAAE,EAAEzE,CAAC,EAAE,EAAE,CAAC,SAAS0H,GAAG1H,EAAEC,EAAEM,GAAGC,GAAGC,GAAG,CAAC,OAAO,EAAEgE,GAAG,EAAE,EAAEzE,EAAEC,EAAEM,GAAGC,GAAGC,EAAE,EAAE,EAAE,CAAC,IAAIkH,GAAG,CAAC,KAAK,CAAC,EAAE,CAAC,CAAC,EAAE,SAASC,GAAG5H,EAAEC,EAAE,CAAC,IAAIM,GAAGoH,GAAG3H,GAAGC,IAAI,GAAGA,IAAI,KAAKD,IAAI,EAAEY,EAAEN,GAAGmB,GAAGlB,GAAG,CAAC,CAAC,EAAEA,GAAG,OAAO,GAAGA,GAAG,KAAKN,CAAC,CAAC,CAAC,SAAS4H,GAAG7H,EAAEC,EAAEM,GAAGC,GAAG,CAAC,GAAG,EAAE,OAAOiE,GAAG,EAAE,EAAEzE,EAAEC,EAAEM,GAAGC,EAAE,EAAE,QAAQC,GAAG,EAAEC,GAAG,EAAEA,GAAGH,GAAGG,KAAK,CAAC,IAAIgB,GAAG/G,EAAE,EAAEsF,GAAG,GAAG0B,GAAGhH,EAAE,EAAEsF,EAAE,GAAG,GAAGA,GAAG,EAAE,QAAQ2B,GAAG,EAAEA,GAAGD,GAAGC,KAAKgG,GAAG5H,EAAE/G,EAAE,EAAEyI,GAAGE,GAAG,EAAEnB,IAAIkB,EAAE,CAAC,OAAOhH,EAAE,EAAE6F,IAAI,GAAGC,GAAG,CAAC,CAAC,SAASqH,GAAG9H,EAAE,CAAC,IAAIC,EAAEnF,EAAE,IAAIkF,GAAG,OAAOC,CAAC,CAAC,SAAS8H,GAAG/H,EAAEC,EAAEM,GAAGC,GAAGC,GAAG,CAAC,IAAIC,GAAG,CAAC,OAAOsH,IAAI,CAAC,IAAIC,GAAG,EAAE,GAAGD,IAAI,MAAMA,KAAK,EAAE,CAAC,IAAIE,IAAIF,GAAG,QAAQ,GAAG,EAAEC,GAAGhB,GAAGiB,EAAE,EAAElG,GAAGgG,GAAGC,GAAGC,EAAE,CAAC,CAAC,OAAOD,EAAE,EAAE,MAAMD,IAAI,CAAC,IAAIC,GAAGhB,GAAGe,GAAG,MAAM,EAAE,OAAOpC,GAAGoC,GAAGC,EAAE,EAAEA,EAAE,CAAC,EAAE,SAASvG,GAAGsG,GAAG,CAAC,OAAO/H,IAAI,SAAS6B,GAAGkG,EAAE,EAAE/H,IAAI,UAAU,QAAQ+H,EAAE,EAAEA,EAAE,CAAC,IAAIrG,GAAGmG,GAAG9H,CAAC,EAAE4B,GAAG,CAAC,EAAEC,GAAG,EAAE,GAAGrB,GAAG,QAAQsD,GAAG,EAAEA,GAAGtD,GAAG,OAAOsD,KAAK,CAAC,IAAIqE,GAAGzH,GAAGH,GAAGuD,KAAKqE,IAAItG,KAAK,IAAIA,GAAGoD,GAAG,GAAGrD,GAAGkC,IAAIqE,GAAG3H,GAAGsD,GAAG,GAAGlC,GAAGkC,IAAItD,GAAGsD,GAAG,CAAC,IAAIsE,GAAGzG,GAAG,MAAM,KAAKC,EAAE,EAAE,SAASyG,GAAGL,GAAG,CAAC,OAAOnG,KAAK,GAAGqD,GAAGrD,EAAE,EAAEH,GAAGsG,EAAE,CAAC,CAAC,OAAOI,GAAGC,GAAGD,EAAE,EAAEA,EAAE,CAAC,SAASE,GAAGtI,EAAEC,EAAEM,GAAGC,GAAG,CAACD,GAAGA,IAAI,CAAC,EAAE,IAAIE,GAAGF,GAAG,MAAMmB,IAAIA,KAAK,UAAUA,KAAK,SAAS,EAAEhB,GAAGT,IAAI,SAAS,OAAOS,IAAID,IAAI,CAACD,GAAGsH,GAAG9H,CAAC,EAAE,UAAU,CAAC,OAAO+H,GAAG/H,EAAEC,EAAEM,GAAG,UAAUC,EAAE,CAAC,CAAC,CAACqD,GAAG,KAAK,EAAE,IAAIwD,GAAG,CAAC,KAAK7C,GAAGG,GAAGqB,GAAGyB,GAAGC,GAAGG,EAAE,EAAElE,GAAG,CAAC,iCAAiCkC,GAAG,4BAA4BE,GAAG,oBAAoBE,GAAG,uCAAuCC,GAAG,iCAAiCE,GAAG,8BAA8BE,GAAG,qCAAqCC,GAAG,MAAMC,GAAG,kCAAkCE,GAAG,oBAAoBC,GAAG,wBAAwBE,GAAG,mBAAmBC,GAAG,sBAAsBC,GAAG,6BAA6BC,GAAG,qCAAqCI,GAAG,uBAAuBG,GAAG,mCAAmCC,GAAG,KAAK5C,GAAG,SAAS6C,GAAG,QAAQC,GAAG,SAASG,GAAG,OAAOvI,IAAIxE,EAAE,UAAU,EAAEyN,GAAG7E,GAAG,EAAE8E,GAAG1N,EAAE,mBAAmB,UAAU,CAAC,OAAO0N,GAAG1N,EAAE,mBAAmBA,EAAE,IAAI,mBAAmB,MAAM,KAAK,SAAS,CAAC,EAAE2N,GAAG3N,EAAE,MAAM,UAAU,CAAC,OAAO2N,GAAG3N,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE4N,GAAG5N,EAAE,yBAAyB,UAAU,CAAC,OAAO4N,GAAG5N,EAAE,yBAAyBA,EAAE,IAAI,yBAAyB,MAAM,KAAK,SAAS,CAAC,EAAE6N,GAAG7N,EAAE,mBAAmB,UAAU,CAAC,OAAO6N,GAAG7N,EAAE,mBAAmBA,EAAE,IAAI,mBAAmB,MAAM,KAAK,SAAS,CAAC,EAAE8N,GAAG9N,EAAE,iBAAiB,UAAU,CAAC,OAAO8N,GAAG9N,EAAE,iBAAiBA,EAAE,IAAI,iBAAiB,MAAM,KAAK,SAAS,CAAC,EAAE+N,GAAG/N,EAAE,cAAc,UAAU,CAAC,OAAO+N,GAAG/N,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEgO,GAAGhO,EAAE,SAAS,UAAU,CAAC,OAAOgO,GAAGhO,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEiO,GAAGjO,EAAE,KAAK,UAAU,CAAC,OAAOiO,GAAGjO,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEkO,GAAGlO,EAAE,KAAK,UAAU,CAAC,OAAOkO,GAAGlO,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEmO,GAAGnO,EAAE,MAAM,UAAU,CAAC,OAAOmO,GAAGnO,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEoO,GAAGpO,EAAE,KAAK,UAAU,CAAC,OAAOoO,GAAGpO,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEqO,GAAGrO,EAAE,KAAK,UAAU,CAAC,OAAOqO,GAAGrO,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEsO,GAAGtO,EAAE,QAAQ,UAAU,CAAC,OAAOsO,GAAGtO,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEuO,GAAGvO,EAAE,SAAS,UAAU,CAAC,OAAOuO,GAAGvO,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEwO,GAAGxO,EAAE,aAAa,UAAU,CAAC,OAAOwO,GAAGxO,EAAE,aAAaA,EAAE,IAAI,aAAa,MAAM,KAAK,SAAS,CAAC,EAAEyO,GAAGzO,EAAE,MAAM,UAAU,CAAC,OAAOyO,GAAGzO,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE0O,GAAG1O,EAAE,aAAa,UAAU,CAAC,OAAO0O,GAAG1O,EAAE,aAAaA,EAAE,IAAI,aAAa,MAAM,KAAK,SAAS,CAAC,EAAE2O,GAAG3O,EAAE,QAAQ,UAAU,CAAC,OAAO2O,GAAG3O,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAE4O,GAAG5O,EAAE,qBAAqB,UAAU,CAAC,OAAO4O,GAAG5O,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAE6O,GAAG7O,EAAE,KAAK,UAAU,CAAC,OAAO6O,GAAG7O,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE8O,GAAG9O,EAAE,MAAM,UAAU,CAAC,OAAO8O,GAAG9O,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE+O,GAAG/O,EAAE,eAAe,UAAU,CAAC,OAAO+O,GAAG/O,EAAE,eAAeA,EAAE,IAAI,eAAe,MAAM,KAAK,SAAS,CAAC,EAAEgP,GAAGhP,EAAE,SAAS,UAAU,CAAC,OAAOgP,GAAGhP,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEiP,GAAGjP,EAAE,QAAQ,UAAU,CAAC,OAAOiP,GAAGjP,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEkP,GAAGlP,EAAE,cAAc,UAAU,CAAC,OAAOkP,GAAGlP,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEmP,GAAGnP,EAAE,uBAAuB,UAAU,CAAC,OAAOmP,GAAGnP,EAAE,uBAAuBA,EAAE,IAAI,uBAAuB,MAAM,KAAK,SAAS,CAAC,EAAEoP,GAAGpP,EAAE,KAAK,UAAU,CAAC,OAAOoP,GAAGpP,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEqP,GAAGrP,EAAE,OAAO,UAAU,CAAC,OAAOqP,GAAGrP,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEsP,GAAGtP,EAAE,KAAK,UAAU,CAAC,OAAOsP,GAAGtP,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEuP,GAAGvP,EAAE,eAAe,UAAU,CAAC,OAAOuP,GAAGvP,EAAE,eAAeA,EAAE,IAAI,eAAe,MAAM,KAAK,SAAS,CAAC,EAAEwP,GAAGxP,EAAE,OAAO,UAAU,CAAC,OAAOwP,GAAGxP,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEyP,GAAGzP,EAAE,UAAU,UAAU,CAAC,OAAOyP,GAAGzP,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAE0P,GAAG1P,EAAE,gBAAgB,UAAU,CAAC,OAAO0P,GAAG1P,EAAE,gBAAgBA,EAAE,IAAI,gBAAgB,MAAM,KAAK,SAAS,CAAC,EAAE2P,GAAG3P,EAAE,aAAa,UAAU,CAAC,OAAO2P,GAAG3P,EAAE,aAAaA,EAAE,IAAI,aAAa,MAAM,KAAK,SAAS,CAAC,EAAE4P,GAAG5P,EAAE,sBAAsB,UAAU,CAAC,OAAO4P,GAAG5P,EAAE,sBAAsBA,EAAE,IAAI,sBAAsB,MAAM,KAAK,SAAS,CAAC,EAAE6P,GAAG7P,EAAE,QAAQ,UAAU,CAAC,OAAO6P,GAAG7P,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAE8P,GAAG9P,EAAE,UAAU,UAAU,CAAC,OAAO8P,GAAG9P,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAE+P,GAAG/P,EAAE,SAAS,UAAU,CAAC,OAAO+P,GAAG/P,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEgQ,GAAGhQ,EAAE,cAAc,UAAU,CAAC,OAAOgQ,GAAGhQ,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEiQ,GAAGjQ,EAAE,WAAW,UAAU,CAAC,OAAOiQ,GAAGjQ,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEkQ,GAAGlQ,EAAE,MAAM,UAAU,CAAC,OAAOkQ,GAAGlQ,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEmQ,GAAGnQ,EAAE,WAAW,UAAU,CAAC,OAAOmQ,GAAGnQ,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEoQ,GAAGpQ,EAAE,KAAK,UAAU,CAAC,OAAOoQ,GAAGpQ,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEqQ,GAAGrQ,EAAE,YAAY,UAAU,CAAC,OAAOqQ,GAAGrQ,EAAE,YAAYA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAEsQ,GAAGtQ,EAAE,YAAY,UAAU,CAAC,OAAOsQ,GAAGtQ,EAAE,YAAYA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAEuQ,GAAGvQ,EAAE,WAAW,UAAU,CAAC,OAAOuQ,GAAGvQ,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEwQ,GAAGxQ,EAAE,YAAY,UAAU,CAAC,OAAOwQ,GAAGxQ,EAAE,YAAYA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAEyQ,GAAGzQ,EAAE,KAAK,UAAU,CAAC,OAAOyQ,GAAGzQ,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE0Q,GAAG1Q,EAAE,SAAS,UAAU,CAAC,OAAO0Q,GAAG1Q,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE2Q,GAAG3Q,EAAE,SAAS,UAAU,CAAC,OAAO2Q,GAAG3Q,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE4Q,GAAG5Q,EAAE,MAAM,UAAU,CAAC,OAAO4Q,GAAG5Q,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE6Q,GAAG7Q,EAAE,KAAK,UAAU,CAAC,OAAO6Q,GAAG7Q,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE8Q,GAAG9Q,EAAE,SAAS,UAAU,CAAC,OAAO8Q,GAAG9Q,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE+Q,GAAG/Q,EAAE,WAAW,UAAU,CAAC,OAAO+Q,GAAG/Q,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEgR,GAAGhR,EAAE,UAAU,UAAU,CAAC,OAAOgR,GAAGhR,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAEiR,GAAGjR,EAAE,KAAK,UAAU,CAAC,OAAOiR,GAAGjR,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEkR,GAAGlR,EAAE,qBAAqB,UAAU,CAAC,OAAOkR,GAAGlR,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAEmR,GAAGnR,EAAE,qBAAqB,UAAU,CAAC,OAAOmR,GAAGnR,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAEoR,EAAEpR,EAAE,qBAAqB,UAAU,CAAC,OAAOoR,EAAEpR,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAEqR,GAAGrR,EAAE,UAAU,UAAU,CAAC,OAAOqR,GAAGrR,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAEsR,GAAGtR,EAAE,QAAQ,UAAU,CAAC,OAAOsR,GAAGtR,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEuR,GAAGvR,EAAE,OAAO,UAAU,CAAC,OAAOuR,GAAGvR,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEwR,GAAGxR,EAAE,KAAK,UAAU,CAAC,OAAOwR,GAAGxR,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEyR,GAAGzR,EAAE,OAAO,UAAU,CAAC,OAAOyR,GAAGzR,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAE0R,GAAG1R,EAAE,MAAM,UAAU,CAAC,OAAO0R,GAAG1R,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE2R,GAAG3R,EAAE,SAAS,UAAU,CAAC,OAAO2R,GAAG3R,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE4R,GAAG5R,EAAE,MAAM,UAAU,CAAC,OAAO4R,GAAG5R,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE6R,GAAG7R,EAAE,OAAO,UAAU,CAAC,OAAO6R,GAAG7R,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAE8R,GAAG9R,EAAE,gBAAgB,UAAU,CAAC,OAAO8R,GAAG9R,EAAE,gBAAgBA,EAAE,IAAI,gBAAgB,MAAM,KAAK,SAAS,CAAC,EAAE+R,GAAG/R,EAAE,uBAAuB,UAAU,CAAC,OAAO+R,GAAG/R,EAAE,uBAAuBA,EAAE,IAAI,uBAAuB,MAAM,KAAK,SAAS,CAAC,EAAEgS,GAAGhS,EAAE,SAAS,UAAU,CAAC,OAAOgS,GAAGhS,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEiS,GAAGjS,EAAE,kBAAkB,UAAU,CAAC,OAAOiS,GAAGjS,EAAE,kBAAkBA,EAAE,IAAI,kBAAkB,MAAM,KAAK,SAAS,CAAC,EAAEkS,GAAGlS,EAAE,OAAO,UAAU,CAAC,OAAOkS,GAAGlS,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEmS,GAAGnS,EAAE,OAAO,UAAU,CAAC,OAAOmS,GAAGnS,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEoS,GAAGpS,EAAE,WAAW,UAAU,CAAC,OAAOoS,GAAGpS,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEqS,GAAGrS,EAAE,UAAU,UAAU,CAAC,OAAOqS,GAAGrS,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAEsS,GAAGtS,EAAE,SAAS,UAAU,CAAC,OAAOsS,GAAGtS,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEuS,GAAGvS,EAAE,KAAK,UAAU,CAAC,OAAOuS,GAAGvS,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEwS,GAAGxS,EAAE,SAAS,UAAU,CAAC,OAAOwS,GAAGxS,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEyS,GAAGzS,EAAE,qBAAqB,UAAU,CAAC,OAAOyS,GAAGzS,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAE0S,GAAG1S,EAAE,eAAe,UAAU,CAAC,OAAO0S,GAAG1S,EAAE,eAAeA,EAAE,IAAI,eAAe,MAAM,KAAK,SAAS,CAAC,EAAE2S,GAAG3S,EAAE,wBAAwB,UAAU,CAAC,OAAO2S,GAAG3S,EAAE,wBAAwBA,EAAE,IAAI,wBAAwB,MAAM,KAAK,SAAS,CAAC,EAAE4S,GAAG5S,EAAE,MAAM,UAAU,CAAC,OAAO4S,GAAG5S,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE6S,GAAG7S,EAAE,QAAQ,UAAU,CAAC,OAAO6S,GAAG7S,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAE8S,GAAG9S,EAAE,mBAAmB,UAAU,CAAC,OAAO8S,GAAG9S,EAAE,mBAAmBA,EAAE,IAAI,mBAAmB,MAAM,KAAK,SAAS,CAAC,EAAE+S,GAAG/S,EAAE,MAAM,UAAU,CAAC,OAAO+S,GAAG/S,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEgT,GAAGhT,EAAE,cAAc,UAAU,CAAC,OAAOgT,GAAGhT,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEiT,GAAGjT,EAAE,KAAK,UAAU,CAAC,OAAOiT,GAAGjT,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEkT,GAAGlT,EAAE,KAAK,UAAU,CAAC,OAAOkT,GAAGlT,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEmT,GAAGnT,EAAE,KAAK,UAAU,CAAC,OAAOmT,GAAGnT,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEoT,GAAGpT,EAAE,MAAM,UAAU,CAAC,OAAOoT,GAAGpT,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEqT,GAAGrT,EAAE,MAAM,UAAU,CAAC,OAAOqT,GAAGrT,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEsT,GAAGtT,EAAE,MAAM,UAAU,CAAC,OAAOsT,GAAGtT,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEuT,GAAGvT,EAAE,WAAW,UAAU,CAAC,OAAOuT,GAAGvT,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEwT,GAAGxT,EAAE,WAAW,UAAU,CAAC,OAAOwT,GAAGxT,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEyT,GAAGzT,EAAE,cAAc,UAAU,CAAC,OAAOyT,GAAGzT,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAE0T,GAAG1T,EAAE,QAAQ,UAAU,CAAC,OAAO0T,GAAG1T,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAE2T,GAAG3T,EAAE,MAAM,UAAU,CAAC,OAAO2T,GAAG3T,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE4T,GAAG5T,EAAE,sBAAsB,UAAU,CAAC,OAAO4T,GAAG5T,EAAE,sBAAsBA,EAAE,IAAI,sBAAsB,MAAM,KAAK,SAAS,CAAC,EAAEgK,GAAGhK,EAAE,cAAc,UAAU,CAAC,OAAOgK,GAAGhK,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAE6T,GAAG7T,EAAE,kBAAkB,UAAU,CAAC,OAAO6T,GAAG7T,EAAE,kBAAkBA,EAAE,IAAI,kBAAkB,MAAM,KAAK,SAAS,CAAC,EAAEgL,GAAGhL,EAAE,yBAAyB,UAAU,CAAC,OAAOgL,GAAGhL,EAAE,yBAAyBA,EAAE,IAAI,yBAAyB,MAAM,KAAK,SAAS,CAAC,EAAE8T,GAAG9T,EAAE,4BAA4B,UAAU,CAAC,OAAO8T,GAAG9T,EAAE,4BAA4BA,EAAE,IAAI,4BAA4B,MAAM,KAAK,SAAS,CAAC,EAAE+T,GAAG/T,EAAE,6CAA6C,UAAU,CAAC,OAAO+T,GAAG/T,EAAE,6CAA6CA,EAAE,IAAI,6CAA6C,MAAM,KAAK,SAAS,CAAC,EAAEgU,GAAGhU,EAAE,mCAAmC,UAAU,CAAC,OAAOgU,GAAGhU,EAAE,mCAAmCA,EAAE,IAAI,mCAAmC,MAAM,KAAK,SAAS,CAAC,EAAEoM,GAAGpM,EAAE,0CAA0C,UAAU,CAAC,OAAOoM,GAAGpM,EAAE,0CAA0CA,EAAE,IAAI,0CAA0C,MAAM,KAAK,SAAS,CAAC,EAAEiU,GAAGjU,EAAE,gCAAgC,UAAU,CAAC,OAAOiU,GAAGjU,EAAE,gCAAgCA,EAAE,IAAI,gCAAgC,MAAM,KAAK,SAAS,CAAC,EAAEuL,GAAGvL,EAAE,sCAAsC,UAAU,CAAC,OAAOuL,GAAGvL,EAAE,sCAAsCA,EAAE,IAAI,sCAAsC,MAAM,KAAK,SAAS,CAAC,EAAEqJ,GAAGrJ,EAAE,8BAA8B,UAAU,CAAC,OAAOqJ,GAAGrJ,EAAE,8BAA8BA,EAAE,IAAI,8BAA8B,MAAM,KAAK,SAAS,CAAC,EAAE4K,GAAG5K,EAAE,yBAAyB,UAAU,CAAC,OAAO4K,GAAG5K,EAAE,yBAAyBA,EAAE,IAAI,yBAAyB,MAAM,KAAK,SAAS,CAAC,EAAEwK,GAAGxK,EAAE,6BAA6B,UAAU,CAAC,OAAOwK,GAAGxK,EAAE,6BAA6BA,EAAE,IAAI,6BAA6B,MAAM,KAAK,SAAS,CAAC,EAAEmK,GAAGnK,EAAE,UAAU,UAAU,CAAC,OAAOmK,GAAGnK,EAAE,UAAUA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEoK,GAAGpK,EAAE,aAAa,UAAU,CAAC,OAAOoK,GAAGpK,EAAE,aAAaA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEmM,GAAGnM,EAAE,WAAW,UAAU,CAAC,OAAOmM,GAAGnM,EAAE,WAAWA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAEkU,GAAGlU,EAAE,iBAAiB,UAAU,CAAC,OAAOkU,GAAGlU,EAAE,iBAAiBA,EAAE,IAAI,kBAAkB,MAAM,KAAK,SAAS,CAAC,EAAEmU,GAAGnU,EAAE,aAAa,UAAU,CAAC,OAAOmU,GAAGnU,EAAE,aAAaA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEA,EAAE,iBAAiB6F,GAAG7F,EAAE,WAAWwE,GAAGxE,EAAE,MAAMwN,GAAGxN,EAAE,WAAWuF,GAAGvF,EAAE,QAAQ+I,GAAG,IAAIqL,GAAGjM,GAAG,SAASjD,GAAG,CAACkP,IAAIC,GAAG,EAAED,KAAKjM,GAAGjD,EAAE,EAAE,SAASmP,GAAGnP,EAAE,CAAC,GAAGA,EAAEA,GAAGrE,EAAEoH,GAAG,EAAE,OAAO,GAAG,EAAE,CAACxH,EAAET,CAAC,EAAE6H,GAAG,EAAE,YAAY,CAAC,IAAI,QAAQ,CAAC,EAAE,MAAM,CAAC,GAAGH,GAAG,EAAEO,GAAG,EAAE,OAAO,SAAS9C,GAAG,CAACiP,KAAKA,GAAG,GAAGpU,EAAE,UAAU,GAAG,CAACuG,KAAKsB,GAAG,EAAEpH,EAAET,CAAC,EAAEA,EAAE,sBAAsBA,EAAE,qBAAqB,EAAE8H,GAAG,GAAG,CAAC9H,EAAE,WAAWA,EAAE,UAAU,YAAY,EAAE,WAAW,UAAU,CAAC,WAAW,UAAU,CAACA,EAAE,UAAU,EAAE,CAAC,EAAE,CAAC,EAAEmF,EAAE,CAAC,EAAE,CAAC,GAAGA,EAAE,CAAC,CAAC,GAAGnF,EAAE,QAAQ,IAAI,OAAOA,EAAE,SAAS,aAAaA,EAAE,QAAQ,CAACA,EAAE,OAAO,GAAGA,EAAE,QAAQ,OAAO,GAAGA,EAAE,QAAQ,IAAI,EAAE,EAAEqU,GAAG,EAAE,IAAIC,GAAG3T,IAAI2T,GAAG,CAAC,kBAAkB,QAAQ,UAAU,mBAAmB,EAAE,OAAO,SAASpP,EAAE,CAAC,MAAM,CAACvE,EAAE,kBAAkB,QAAQuE,CAAC,EAAE,EAAE,CAAC,EAAE,mBAAmB,QAAQ,UAAU,oBAAoB,EAAE,OAAO,SAASA,EAAE,CAAC,MAAM,CAACvE,EAAE,mBAAmB,QAAQuE,CAAC,EAAE,EAAE,CAAC,CAAC,GAAG,IAAIqP,GAAG,GAAG,OAAO,mBAAmB,YAAYA,GAAG,0BAA0B,OAAO5V,GAAG,YAAY4V,GAAG5V,MAAO,OAAM,IAAI,MAAM,uCAAuC,EAAE,GAAG2V,GAAG,CAAC,IAAIE,GAAGD,GAAG,SAASA,GAAG,SAAS,UAAU,CAACC,GAAG,EAAEF,GAAG,kBAAkB,QAAQ,SAASpP,EAAE,CAAC,QAAQ,eAAe,oBAAoBA,CAAC,CAAC,CAAC,EAAEoP,GAAG,mBAAmB,QAAQ,SAASpP,EAAE,CAAC,QAAQ,eAAe,qBAAqBA,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOvG,EAAE,KAAK,CAAC,GAAG,EAAE,OAAO0F,GAAI,UAAU,OAAOC,GAAI,SAASA,EAAG,QAAQC,EAAG,OAAO,QAAQ,YAAY,OAAO,IAAI,OAAO,CAAC,EAAE,UAAU,CAAC,OAAOA,CAAE,CAAC,EAAE,OAAOF,GAAI,WAAWA,EAAG,8BAA8BE,EAAG,CAAC,EAAMkQ,GAAGzW,GAAG,CAAC0W,EAAIC,IAAK,CAACA,EAAG,QAAQ,mBAAmB;AAAA,okEACrnvB,CAAC,EAAMC,GAAG5W,GAAG,CAAC6W,EAAGC,IAAK,CAAC,IAAIC,GAAI,IAAI,CAAC,IAAIlX,EAAE,OAAO,UAAU,aAAa,SAAS,cAAc,SAAS,cAAc,IAAI,OAAO,OAAO,OAAO,YAAY,cAAcA,EAAEA,GAAG,YAAY,SAASc,EAAE,CAACA,EAAEA,GAAG,CAAC,EAAE,IAAIZ,EAAE,OAAOY,GAAG,YAAYA,EAAE,CAAC,EAAER,EAAE,EAAEJ,EAAE,MAAM,IAAI,QAAQ,SAASqT,EAAEC,GAAG,CAAClT,EAAEiT,EAAE,EAAEC,EAAE,CAAC,EAAE,IAAIzR,EAAE,OAAO,SAAS,aAAa,QAAQ,YAAYA,EAAE,CAAC,kBAAkB,QAAQ,UAAU,mBAAmB,EAAE,mBAAmB,QAAQ,UAAU,oBAAoB,CAAC,GAAG,IAAIC,EAAE,OAAO,OAAO,CAAC,EAAE9B,CAAC,EAAE+B,EAAE,CAAC,EAAEC,EAAE,iBAAiBC,EAAE,CAACoR,EAAEC,KAAK,CAAC,MAAMA,EAAE,EAAE5Q,EAAE,OAAO,QAAQ,SAASC,EAAE,OAAO,eAAe,WAAWC,EAAE,OAAO,SAAS,UAAU,OAAO,QAAQ,UAAU,UAAU,OAAO,QAAQ,SAAS,MAAM,SAASC,EAAE,GAAG,SAASC,EAAEuQ,EAAE,CAAC,OAAOrT,EAAE,WAAWA,EAAE,WAAWqT,EAAExQ,CAAC,EAAEA,EAAEwQ,CAAC,CAAC,IAAIrP,EAAEC,EAAEoD,EAAExC,EAAE,SAASJ,EAAE4O,EAAE,CAAIA,aAAalJ,IAAU7C,EAAE,6BAA6B+L,CAAC,CAAC,CAAC,GAAGzQ,EAAE,CAACD,EAAEE,EAAEoD,GAAG,EAAE,QAAQpD,CAAC,EAAE,IAAIA,EAAE,UAAU,IAAI,IAAI,EAAE8B,EAAE,OAAO9E,IAAI,aAAa,EAAEmG,GAAG,EAAErB,EAAEsB,GAAG,GAAGjC,EAAE,CAACqP,EAAEC,MAAMD,EAAE1O,EAAE,UAAU0O,CAAC,EAAE,EAAE,aAAaA,EAAEC,GAAG,OAAO,MAAM,GAAGjM,EAAEgM,GAAG,CAAC,IAAIC,GAAGtP,EAAEqP,EAAE,EAAE,EAAE,OAAOC,GAAG,SAASA,GAAG,IAAI,WAAWA,EAAE,GAAGA,EAAE,EAAErP,EAAE,CAACoP,EAAEC,GAAGC,KAAK,CAACF,EAAE1O,EAAE,UAAU0O,CAAC,EAAE,EAAE,SAASA,EAAE,SAASG,GAAGC,GAAG,CAACD,GAAGD,GAAGC,EAAE,EAAEF,GAAGG,GAAG,MAAM,CAAC,CAAC,CAAC,EAAE,QAAQ,KAAK,OAAO,IAAIzR,EAAE,QAAQ,KAAK,GAAG,QAAQ,MAAM,GAAG,GAAGD,EAAE,QAAQ,KAAK,MAAM,CAAC,EAAE,QAAQ,GAAG,oBAAoB,SAASsR,EAAE,CAAC,GAAG,EAAEA,aAAalJ,IAAI,MAAMkJ,CAAC,CAAC,EAAE,QAAQ,GAAG,qBAAqB,SAASA,EAAE,CAAC,MAAMA,CAAC,CAAC,EAAEpR,EAAE,CAACoR,EAAEC,KAAK,CAAC,GAAGzM,GAAG,EAAE,MAAM,QAAQ,SAASwM,EAAEC,GAAG7O,EAAE6O,EAAE,EAAE,QAAQ,KAAKD,CAAC,CAAC,EAAErT,EAAE,QAAQ,UAAU,CAAC,MAAM,4BAA4B,CAAC,MAAM0C,GAAGC,KAAKA,EAAEE,EAAE,KAAK,SAAS,KAAK,OAAO,UAAU,aAAa,SAAS,gBAAgBA,EAAE,SAAS,cAAc,KAAK/C,IAAI+C,EAAE/C,GAAG+C,EAAE,QAAQ,OAAO,IAAI,EAAEA,EAAEA,EAAE,OAAO,EAAEA,EAAE,QAAQ,SAAS,EAAE,EAAE,YAAY,GAAG,EAAE,CAAC,EAAEA,EAAE,GAAGmB,EAAEqP,GAAG,CAAC,IAAIC,GAAG,IAAI,eAAe,OAAOA,GAAG,KAAK,MAAMD,EAAE,EAAE,EAAEC,GAAG,KAAK,IAAI,EAAEA,GAAG,YAAY,EAAE3Q,IAAI0E,EAAEgM,GAAG,CAAC,IAAIC,GAAG,IAAI,eAAe,OAAOA,GAAG,KAAK,MAAMD,EAAE,EAAE,EAAEC,GAAG,aAAa,cAAcA,GAAG,KAAK,IAAI,EAAE,IAAI,WAAWA,GAAG,QAAQ,CAAC,GAAGrP,EAAE,CAACoP,EAAEC,GAAGC,KAAK,CAAC,IAAIC,GAAG,IAAI,eAAeA,GAAG,KAAK,MAAMH,EAAE,EAAE,EAAEG,GAAG,aAAa,cAAcA,GAAG,OAAO,IAAI,CAAC,GAAGA,GAAG,QAAQ,KAAKA,GAAG,QAAQ,GAAGA,GAAG,SAAS,CAACF,GAAGE,GAAG,QAAQ,EAAE,MAAM,CAACD,GAAG,CAAC,EAAEC,GAAG,QAAQD,GAAGC,GAAG,KAAK,IAAI,CAAC,EAAE3O,EAAEwO,GAAG,SAAS,MAAMA,GAAG,IAAIzO,EAAE5E,EAAE,OAAO,QAAQ,IAAI,KAAK,OAAO,EAAEsH,EAAEtH,EAAE,UAAU,QAAQ,KAAK,KAAK,OAAO,EAAE,OAAO,OAAOA,EAAE8B,CAAC,EAAEA,EAAE,KAAK9B,EAAE,YAAY+B,EAAE/B,EAAE,WAAWA,EAAE,cAAcgC,EAAEhC,EAAE,aAAaA,EAAE,OAAOiC,EAAEjC,EAAE,MAAM,IAAI8E,EAAE,EAAEyC,EAAEvH,EAAE,aAAauH,EAAEvH,EAAE,YAAY,IAAI+E,EAAE/E,EAAE,eAAe,GAAG,OAAO,aAAa,UAAUyJ,GAAG,iCAAiC,EAAE,IAAIzE,EAAEC,EAAE,GAAGC,EAAE,SAAS,EAAEmO,EAAEC,GAAG,CAACD,GAAG5J,GAAG6J,EAAE,CAAC,CAAC,IAAIlO,EAAE,OAAO,aAAa,YAAY,IAAI,YAAY,MAAM,EAAE,OAAO,SAAS2C,EAAEsL,EAAEC,GAAGC,GAAG,CAAC,QAAQC,GAAGF,GAAGC,GAAGE,GAAGH,GAAGD,EAAEI,KAAK,EAAEA,IAAID,KAAK,EAAEC,GAAG,GAAGA,GAAGH,GAAG,IAAID,EAAE,QAAQjO,EAAE,OAAOA,EAAE,OAAOiO,EAAE,SAASC,GAAGG,EAAE,CAAC,EAAE,QAAQC,GAAG,GAAGJ,GAAGG,IAAI,CAAC,IAAIE,GAAGN,EAAEC,MAAM,GAAG,EAAEK,GAAG,KAAK,CAACD,IAAI,OAAO,aAAaC,EAAE,EAAE,QAAQ,CAAC,IAAIC,GAAGP,EAAEC,MAAM,GAAG,IAAIK,GAAG,MAAM,IAAI,CAACD,IAAI,OAAO,cAAcC,GAAG,KAAK,EAAEC,EAAE,EAAE,QAAQ,CAAC,IAAIC,GAAGR,EAAEC,MAAM,GAAG,IAAIK,GAAG,MAAM,IAAIA,IAAIA,GAAG,KAAK,GAAGC,IAAI,EAAEC,GAAGF,IAAIA,GAAG,IAAI,GAAGC,IAAI,GAAGC,IAAI,EAAER,EAAEC,MAAM,GAAGK,GAAG,MAAMD,IAAI,OAAO,aAAaC,EAAE,MAAM,CAAC,IAAIG,GAAGH,GAAG,MAAMD,IAAI,OAAO,aAAa,MAAMI,IAAI,GAAG,MAAMA,GAAG,IAAI,CAAC,CAAC,CAAC,OAAOJ,EAAE,CAAC,SAASjM,EAAE4L,EAAEC,GAAG,CAAC,OAAOD,EAAEtL,EAAEK,GAAGiL,EAAEC,EAAE,EAAE,EAAE,CAAC,SAAStL,GAAEqL,EAAEC,GAAGC,GAAGC,GAAG,CAAC,GAAG,EAAEA,GAAG,GAAG,MAAO,GAAE,QAAQC,GAAGF,GAAGG,GAAGH,GAAGC,GAAG,EAAEG,GAAG,EAAEA,GAAGN,EAAE,OAAO,EAAEM,GAAG,CAAC,IAAIC,GAAGP,EAAE,WAAWM,EAAE,EAAE,GAAGC,IAAI,OAAOA,IAAI,MAAM,CAAC,IAAIC,GAAGR,EAAE,WAAW,EAAEM,EAAE,EAAEC,GAAG,QAAQA,GAAG,OAAO,IAAIC,GAAG,IAAI,CAAC,GAAGD,IAAI,IAAI,CAAC,GAAGL,IAAIG,GAAG,MAAMJ,GAAGC,MAAMK,EAAE,SAASA,IAAI,KAAK,CAAC,GAAGL,GAAG,GAAGG,GAAG,MAAMJ,GAAGC,MAAM,IAAIK,IAAI,EAAEN,GAAGC,MAAM,IAAIK,GAAG,EAAE,SAASA,IAAI,MAAM,CAAC,GAAGL,GAAG,GAAGG,GAAG,MAAMJ,GAAGC,MAAM,IAAIK,IAAI,GAAGN,GAAGC,MAAM,IAAIK,IAAI,EAAE,GAAGN,GAAGC,MAAM,IAAIK,GAAG,EAAE,KAAK,CAAC,GAAGL,GAAG,GAAGG,GAAG,MAAMJ,GAAGC,MAAM,IAAIK,IAAI,GAAGN,GAAGC,MAAM,IAAIK,IAAI,GAAG,GAAGN,GAAGC,MAAM,IAAIK,IAAI,EAAE,GAAGN,GAAGC,MAAM,IAAIK,GAAG,EAAE,CAAC,CAAC,OAAON,GAAGC,IAAI,EAAEA,GAAGE,EAAE,CAAC,SAASxL,GAAGoL,EAAEC,GAAGC,GAAG,CAAC,OAAOvL,GAAEqL,EAAEjL,GAAGkL,GAAGC,EAAE,CAAC,CAAC,IAAIrL,GAAGC,GAAGC,GAAGC,GAAG5B,GAAG8B,GAAGC,GAAGC,GAAGC,GAAG,SAASC,GAAG0K,EAAE,CAACnL,GAAGmL,EAAErT,EAAE,MAAMmI,GAAG,IAAI,UAAUkL,CAAC,EAAErT,EAAE,OAAOqI,GAAG,IAAI,WAAWgL,CAAC,EAAErT,EAAE,OAAOuI,GAAG,IAAI,WAAW8K,CAAC,EAAErT,EAAE,OAAOoI,GAAG,IAAI,WAAWiL,CAAC,EAAErT,EAAE,QAAQyG,GAAG,IAAI,YAAY4M,CAAC,EAAErT,EAAE,QAAQwI,GAAG,IAAI,YAAY6K,CAAC,EAAErT,EAAE,QAAQyI,GAAG,IAAI,aAAa4K,CAAC,EAAErT,EAAE,QAAQ0I,GAAG,IAAI,aAAa2K,CAAC,CAAC,CAAC,IAAIzK,GAAG5I,EAAE,gBAAgB,SAASiJ,GAAGC,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAEzC,GAAG,CAAC,EAAEE,GAAG,GAAG,SAASC,IAAI,CAAC,OAAO9B,CAAC,CAAC,SAAS+B,IAAI,CAAC,GAAG9G,EAAE,OAAO,IAAI,OAAOA,EAAE,QAAQ,aAAaA,EAAE,OAAO,CAACA,EAAE,MAAM,GAAGA,EAAE,OAAO,QAAQgH,GAAGhH,EAAE,OAAO,MAAM,CAAC,EAAEoK,GAAGlB,EAAE,CAAC,CAAC,SAASE,IAAI,CAACxC,GAAG,GAAGwD,GAAGjB,EAAE,CAAC,CAAC,SAASpC,IAAI,CAAC,GAAG/G,EAAE,QAAQ,IAAI,OAAOA,EAAE,SAAS,aAAaA,EAAE,QAAQ,CAACA,EAAE,OAAO,GAAGA,EAAE,QAAQ,QAAQkH,GAAGlH,EAAE,QAAQ,MAAM,CAAC,EAAEoK,GAAG1D,EAAE,CAAC,CAAC,SAASM,GAAGqM,EAAE,CAACnK,GAAG,QAAQmK,CAAC,CAAC,CAAC,SAASpM,GAAGoM,EAAE,CAAClK,GAAG,QAAQkK,CAAC,CAAC,CAAC,SAASnM,GAAGmM,EAAE,CAAC3M,GAAG,QAAQ2M,CAAC,CAAC,CAAC,IAAI1M,GAAG,EAAE0C,GAAG,KAAKC,GAAG,KAAK,SAASC,GAAG8J,EAAE,CAAC1M,KAAK3G,EAAE,wBAAwBA,EAAE,uBAAuB2G,EAAE,CAAC,CAAC,SAAS6C,GAAG6J,EAAE,CAAC,GAAG1M,KAAK3G,EAAE,wBAAwBA,EAAE,uBAAuB2G,EAAE,EAAEA,IAAI,IAAI0C,KAAK,OAAO,cAAcA,EAAE,EAAEA,GAAG,MAAMC,IAAI,CAAC,IAAIgK,GAAGhK,GAAGA,GAAG,KAAKgK,GAAG,CAAC,CAAC,CAAC,SAAS7J,GAAG4J,EAAE,CAACrT,EAAE,SAASA,EAAE,QAAQqT,CAAC,EAAEA,EAAE,WAAWA,EAAE,IAAI/L,EAAE+L,CAAC,EAAEpO,EAAE,GAAGC,EAAE,EAAEmO,GAAG,2CAA2C,IAAIC,GAAG,IAAI,YAAY,aAAaD,CAAC,EAAE,MAAM,EAAEC,EAAE,EAAEA,EAAE,CAAC,IAAI5J,GAAG,wCAAwC,SAAS5B,GAAGuL,EAAE,CAAC,OAAOA,EAAE,WAAW3J,EAAE,CAAC,CAAC,SAASC,GAAG0J,EAAE,CAAC,OAAOA,EAAE,WAAW,SAAS,CAAC,CAAC,IAAIvJ,GAAGA,GAAG,yBAAyBhC,GAAGgC,EAAE,IAAIA,GAAGhH,EAAEgH,EAAE,GAAG,SAASC,GAAGsJ,EAAE,CAAC,GAAG,CAAC,GAAGA,GAAGvJ,IAAIvC,EAAE,OAAO,IAAI,WAAWA,CAAC,EAAE,GAAGF,EAAE,OAAOA,EAAEgM,CAAC,EAAE,KAAK,iDAAiD,OAAOC,GAAN,CAAU7J,GAAG6J,EAAE,CAAC,CAAC,CAAC,SAAS1J,IAAI,CAAC,GAAG,CAACrC,IAAI7E,GAAGC,GAAG,CAAC,GAAG,OAAO,OAAO,YAAY,CAACgH,GAAGG,EAAE,EAAE,OAAO,MAAMA,GAAG,CAAC,YAAY,aAAa,CAAC,EAAE,KAAK,SAASuJ,EAAE,CAAC,GAAG,CAACA,EAAE,GAAG,KAAK,uCAAuCvJ,GAAG,IAAI,OAAOuJ,EAAE,YAAY,CAAC,CAAC,EAAE,MAAM,UAAU,CAAC,OAAOtJ,GAAGD,EAAE,CAAC,CAAC,EAAE,GAAG7F,EAAE,OAAO,IAAI,QAAQ,SAASoP,EAAEC,GAAG,CAACrP,EAAE6F,GAAG,SAASyJ,GAAG,CAACF,EAAE,IAAI,WAAWE,EAAE,CAAC,CAAC,EAAED,EAAE,CAAC,CAAC,CAAC,CAAC,OAAO,QAAQ,QAAQ,EAAE,KAAK,UAAU,CAAC,OAAOvJ,GAAGD,EAAE,CAAC,CAAC,CAAC,CAAC,SAASG,IAAI,CAAC,IAAIoJ,EAAE,CAAC,IAAI1H,GAAG,uBAAuBA,EAAE,EAAE,SAAS2H,GAAGK,GAAGC,GAAG,CAAC,IAAIC,GAAGF,GAAG,QAAQ3T,EAAE,IAAI6T,GAAG7O,EAAEhF,EAAE,IAAI,OAAO2I,GAAG3D,EAAE,MAAM,EAAEiE,GAAGjJ,EAAE,IAAI,0BAA0BiH,GAAGjH,EAAE,IAAI,iBAAiB,EAAEwJ,GAAG,kBAAkB,CAAC,CAACD,GAAG,kBAAkB,EAAE,SAASgK,GAAGI,GAAG,CAACL,GAAGK,GAAG,QAAQ,CAAC,CAAC,SAASH,GAAGG,GAAG,CAAC,OAAO/J,GAAG,EAAE,KAAK,SAASgK,GAAG,CAAC,OAAO,YAAY,YAAYA,GAAGP,CAAC,CAAC,CAAC,EAAE,KAAK,SAASO,GAAG,CAAC,OAAOA,EAAE,CAAC,EAAE,KAAKD,GAAG,SAASC,GAAG,CAACtM,EAAE,0CAA0CsM,EAAE,EAAEnK,GAAGmK,EAAE,CAAC,CAAC,CAAC,CAAC,SAASH,IAAI,CAAC,MAAM,CAAClM,GAAG,OAAO,YAAY,sBAAsB,YAAY,CAACO,GAAGgC,EAAE,GAAG,CAACH,GAAGG,EAAE,GAAG,CAAClH,GAAG,OAAO,OAAO,WAAW,MAAMkH,GAAG,CAAC,YAAY,aAAa,CAAC,EAAE,KAAK,SAAS6J,GAAG,CAAC,IAAIC,GAAG,YAAY,qBAAqBD,GAAGN,CAAC,EAAE,OAAOO,GAAG,KAAKL,GAAG,SAASM,GAAG,CAAC,OAAOvM,EAAE,kCAAkCuM,EAAE,EAAEvM,EAAE,2CAA2C,EAAEkM,GAAGD,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEC,GAAGD,EAAE,CAAC,CAAC,GAAGvT,EAAE,gBAAgB,GAAG,CAAC,IAAI0T,GAAG1T,EAAE,gBAAgBqT,EAAEC,EAAE,EAAE,OAAOI,EAAE,OAAOC,GAAN,CAAUrM,EAAE,sDAAsDqM,EAAE,EAAE,EAAEA,EAAE,CAAC,CAAC,OAAOF,GAAG,EAAE,MAAM,CAAC,EAAE,CAAC,CAAC,CAAC,IAAIzJ,GAAGE,GAAG,SAASC,GAAGkJ,EAAE,CAAC,KAAK,KAAK,aAAa,KAAK,QAAQ,gCAAgCA,EAAE,IAAI,KAAK,OAAOA,CAAC,CAAC,SAASjJ,GAAGiJ,EAAE,CAAC,KAAKA,EAAE,OAAO,GAAGA,EAAE,MAAM,EAAErT,CAAC,CAAC,CAAC,SAASqK,GAAGgJ,EAAE,CAAC,OAAOA,CAAC,CAAC,SAAS/I,GAAG+I,EAAE,CAAC,IAAIC,GAAG,gBAAgB,OAAOD,EAAE,QAAQC,GAAG,SAASC,GAAG,CAAC,IAAIC,GAAGD,GAAG,OAAOA,KAAKC,GAAGD,GAAGC,GAAG,KAAKD,GAAG,GAAG,CAAC,CAAC,CAAC,SAASjL,IAAI,CAAC,IAAI+K,EAAE,IAAI,MAAM,GAAG,CAACA,EAAE,MAAM,CAAC,GAAG,CAAC,MAAM,IAAI,KAAK,OAAOC,GAAN,CAAUD,EAAEC,EAAE,CAAC,GAAG,CAACD,EAAE,MAAM,MAAM,4BAA4B,CAAC,OAAOA,EAAE,MAAM,SAAS,CAAC,CAAC,SAAS9I,GAAG8I,EAAEC,GAAG,CAACnL,GAAG,IAAIkL,EAAEC,EAAE,CAAC,CAAC,SAAS9I,IAAI,CAACf,GAAG,EAAE,CAAC,CAAC,SAASgB,IAAI,CAAC,MAAO,WAAU,CAAC,SAASC,IAAI,CAAC,OAAOD,GAAG,CAAC,CAAC,SAASE,GAAG0I,EAAEC,GAAGC,GAAG,CAACnL,GAAG,WAAWiL,EAAEC,GAAGA,GAAGC,EAAE,CAAC,CAAC,SAAS3I,GAAGyI,EAAE,CAAC,GAAG,CAAC,OAAOrO,EAAE,KAAKqO,EAAEnL,GAAG,WAAW,QAAQ,EAAE,EAAES,GAAG3D,EAAE,MAAM,EAAE,CAAC,OAAOsO,GAAN,CAAU,CAAC,CAAC,SAASzI,GAAGwI,EAAE,CAAC,IAAIC,GAAGlL,GAAG,OAAOiL,EAAEA,IAAI,EAAE,IAAIE,GAAG9I,GAAG,EAAE,GAAG4I,EAAEE,GAAG,MAAM,GAAG,IAAIC,GAAG,CAACK,GAAGC,KAAKD,IAAIC,GAAGD,GAAGC,IAAIA,GAAG,QAAQL,GAAG,EAAEA,IAAI,EAAEA,IAAI,EAAE,CAAC,IAAIC,GAAGJ,IAAI,EAAE,GAAGG,IAAIC,GAAG,KAAK,IAAIA,GAAGL,EAAE,SAAS,EAAE,IAAIM,GAAG,KAAK,IAAIJ,GAAGC,GAAG,KAAK,IAAIH,EAAEK,EAAE,EAAE,KAAK,CAAC,EAAEE,GAAGhJ,GAAG+I,EAAE,EAAE,GAAGC,GAAG,MAAM,EAAE,CAAC,MAAM,EAAE,CAAC,IAAI1I,GAAG,CAAC,QAAQ,OAAO,IAAI,UAAU,CAACA,GAAG,SAAS,EAAE,IAAImI,EAAE9K,GAAG2C,GAAG,QAAQ,GAAG,GAAG,OAAOmI,CAAC,EAAE,OAAO,SAASA,EAAE,CAAC,IAAIC,GAAG7L,EAAE4L,CAAC,EAAE,OAAOC,EAAE,CAAC,EAAE,SAASnI,GAAGkI,EAAE,CAAC,MAAO,GAAE,CAAC,SAASjI,GAAGiI,EAAEC,GAAGC,GAAGC,GAAGC,GAAG,CAAC,MAAO,GAAE,CAAC,IAAIjM,GAAG,CAAC,KAAK,CAAC,EAAE,CAAC,CAAC,EAAE,SAAS6D,GAAGgI,EAAEC,GAAG,CAAC,IAAIC,GAAG/L,GAAG6L,GAAGC,KAAK,GAAGA,KAAK,KAAKD,IAAI,EAAEzO,EAAE0C,GAAGS,EAAEwL,GAAG,CAAC,CAAC,EAAEA,GAAG,OAAO,GAAGA,GAAG,KAAKD,EAAE,CAAC,CAAC,SAAS/H,GAAG8H,EAAEC,GAAGC,GAAGC,GAAG,CAAC,QAAQC,GAAG,EAAEC,GAAG,EAAEA,GAAGH,GAAGG,KAAK,CAAC,IAAIC,GAAGnL,GAAG8K,IAAI,GAAGM,GAAGpL,GAAG8K,GAAG,GAAG,GAAGA,IAAI,EAAE,QAAQO,GAAG,EAAEA,GAAGD,GAAGC,KAAKxI,GAAGgI,EAAEjL,GAAGuL,GAAGE,GAAG,EAAEJ,IAAIG,EAAE,CAAC,OAAOpL,GAAGgL,IAAI,GAAGC,GAAG,CAAC,CAAC,SAASjI,GAAG6H,EAAE,CAAC,IAAIC,GAAGtT,EAAE,IAAIqT,GAAG,OAAOC,EAAE,CAAC,SAAS7H,GAAG4H,EAAEC,GAAGC,GAAGC,GAAGC,GAAG,CAAC,IAAIC,GAAG,CAAC,OAAOS,IAAI,CAAC,IAAIC,GAAG,EAAE,GAAGD,IAAI,MAAMA,KAAK,EAAE,CAAC,IAAIE,IAAIF,GAAG,QAAQ,GAAG,EAAEC,GAAGvB,GAAGwB,EAAE,EAAEpM,GAAGkM,GAAGC,GAAGC,EAAE,CAAC,CAAC,OAAOD,EAAE,EAAE,MAAMD,IAAI,CAAC,IAAIC,GAAGvB,GAAGsB,GAAG,MAAM,EAAE,OAAO5J,GAAG4J,GAAGC,EAAE,EAAEA,EAAE,CAAC,EAAE,SAAST,GAAGQ,GAAG,CAAC,OAAOb,KAAK,SAAS7L,EAAE0M,EAAE,EAAEb,KAAK,UAAU,QAAQa,EAAE,EAAEA,EAAE,CAAC,IAAIP,GAAGpI,GAAG6H,CAAC,EAAEQ,GAAG,CAAC,EAAEC,GAAG,EAAE,GAAGN,GAAG,QAAQO,GAAG,EAAEA,GAAGP,GAAG,OAAOO,KAAK,CAAC,IAAIC,GAAGN,GAAGH,GAAGQ,KAAKC,IAAIF,KAAK,IAAIA,GAAGnB,GAAG,GAAGkB,GAAGE,IAAIC,GAAGR,GAAGO,GAAG,GAAGF,GAAGE,IAAIP,GAAGO,GAAG,CAAC,IAAIE,GAAGL,GAAG,MAAM,KAAKC,EAAE,EAAE,SAASK,GAAGC,GAAG,CAAC,OAAOL,KAAK,GAAGlB,GAAGkB,EAAE,EAAEH,GAAGQ,EAAE,CAAC,CAAC,OAAOF,GAAGC,GAAGD,EAAE,EAAEA,EAAE,CAAC,SAASvI,GAAG2H,EAAEC,GAAGC,GAAGC,GAAG,CAACD,GAAGA,IAAI,CAAC,EAAE,IAAIE,GAAGF,GAAG,MAAMI,IAAIA,KAAK,UAAUA,KAAK,SAAS,EAAED,GAAGJ,KAAK,SAAS,OAAOI,IAAID,IAAI,CAACD,GAAGhI,GAAG6H,CAAC,EAAE,UAAU,CAAC,OAAO5H,GAAG4H,EAAEC,GAAGC,GAAG,UAAUC,EAAE,CAAC,CAAC,CAAC,IAAI7H,GAAG,CAAC,MAAMnB,GAAG,wBAAwBE,GAAG,sBAAsBC,GAAG,uBAAuBE,GAAG,SAASM,GAAG,QAAQC,GAAG,SAASG,EAAE,EAAEM,GAAG5B,GAAG,EAAE8B,GAAG/L,EAAE,mBAAmB,UAAU,CAAC,OAAO+L,GAAG/L,EAAE,mBAAmBA,EAAE,IAAI,mBAAmB,MAAM,KAAK,SAAS,CAAC,EAAEgM,GAAGhM,EAAE,MAAM,UAAU,CAAC,OAAOgM,GAAGhM,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEgL,GAAGhL,EAAE,yBAAyB,UAAU,CAAC,OAAOgL,GAAGhL,EAAE,yBAAyBA,EAAE,IAAI,yBAAyB,MAAM,KAAK,SAAS,CAAC,EAAE6J,GAAG7J,EAAE,mBAAmB,UAAU,CAAC,OAAO6J,GAAG7J,EAAE,mBAAmBA,EAAE,IAAI,mBAAmB,MAAM,KAAK,SAAS,CAAC,EAAEmM,GAAGnM,EAAE,iBAAiB,UAAU,CAAC,OAAOmM,GAAGnM,EAAE,iBAAiBA,EAAE,IAAI,iBAAiB,MAAM,KAAK,SAAS,CAAC,EAAEsM,GAAGtM,EAAE,cAAc,UAAU,CAAC,OAAOsM,GAAGtM,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEuM,GAAGvM,EAAE,SAAS,UAAU,CAAC,OAAOuM,GAAGvM,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEwM,GAAGxM,EAAE,KAAK,UAAU,CAAC,OAAOwM,GAAGxM,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE8L,GAAG9L,EAAE,KAAK,UAAU,CAAC,OAAO8L,GAAG9L,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE0M,GAAG1M,EAAE,MAAM,UAAU,CAAC,OAAO0M,GAAG1M,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE2M,GAAG3M,EAAE,KAAK,UAAU,CAAC,OAAO2M,GAAG3M,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE4M,GAAG5M,EAAE,KAAK,UAAU,CAAC,OAAO4M,GAAG5M,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE8M,GAAG9M,EAAE,QAAQ,UAAU,CAAC,OAAO8M,GAAG9M,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAE+K,GAAG/K,EAAE,SAAS,UAAU,CAAC,OAAO+K,GAAG/K,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE+M,GAAG/M,EAAE,aAAa,UAAU,CAAC,OAAO+M,GAAG/M,EAAE,aAAaA,EAAE,IAAI,aAAa,MAAM,KAAK,SAAS,CAAC,EAAEgN,GAAGhN,EAAE,MAAM,UAAU,CAAC,OAAOgN,GAAGhN,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEkN,GAAGlN,EAAE,aAAa,UAAU,CAAC,OAAOkN,GAAGlN,EAAE,aAAaA,EAAE,IAAI,aAAa,MAAM,KAAK,SAAS,CAAC,EAAEmN,GAAGnN,EAAE,QAAQ,UAAU,CAAC,OAAOmN,GAAGnN,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEoN,GAAGpN,EAAE,qBAAqB,UAAU,CAAC,OAAOoN,GAAGpN,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAEqN,GAAGrN,EAAE,KAAK,UAAU,CAAC,OAAOqN,GAAGrN,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEsN,GAAGtN,EAAE,MAAM,UAAU,CAAC,OAAOsN,GAAGtN,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEuN,GAAGvN,EAAE,eAAe,UAAU,CAAC,OAAOuN,GAAGvN,EAAE,eAAeA,EAAE,IAAI,eAAe,MAAM,KAAK,SAAS,CAAC,EAAEkM,GAAGlM,EAAE,SAAS,UAAU,CAAC,OAAOkM,GAAGlM,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEyN,GAAGzN,EAAE,QAAQ,UAAU,CAAC,OAAOyN,GAAGzN,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAE0N,GAAG1N,EAAE,cAAc,UAAU,CAAC,OAAO0N,GAAG1N,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAE2N,GAAG3N,EAAE,uBAAuB,UAAU,CAAC,OAAO2N,GAAG3N,EAAE,uBAAuBA,EAAE,IAAI,uBAAuB,MAAM,KAAK,SAAS,CAAC,EAAE4N,GAAG5N,EAAE,KAAK,UAAU,CAAC,OAAO4N,GAAG5N,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE6N,GAAG7N,EAAE,OAAO,UAAU,CAAC,OAAO6N,GAAG7N,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAE8N,GAAG9N,EAAE,KAAK,UAAU,CAAC,OAAO8N,GAAG9N,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE+N,GAAG/N,EAAE,eAAe,UAAU,CAAC,OAAO+N,GAAG/N,EAAE,eAAeA,EAAE,IAAI,eAAe,MAAM,KAAK,SAAS,CAAC,EAAEgO,GAAGhO,EAAE,OAAO,UAAU,CAAC,OAAOgO,GAAGhO,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEiO,GAAGjO,EAAE,UAAU,UAAU,CAAC,OAAOiO,GAAGjO,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAEkO,GAAGlO,EAAE,gBAAgB,UAAU,CAAC,OAAOkO,GAAGlO,EAAE,gBAAgBA,EAAE,IAAI,gBAAgB,MAAM,KAAK,SAAS,CAAC,EAAEmO,GAAGnO,EAAE,aAAa,UAAU,CAAC,OAAOmO,GAAGnO,EAAE,aAAaA,EAAE,IAAI,aAAa,MAAM,KAAK,SAAS,CAAC,EAAE4L,GAAG5L,EAAE,sBAAsB,UAAU,CAAC,OAAO4L,GAAG5L,EAAE,sBAAsBA,EAAE,IAAI,sBAAsB,MAAM,KAAK,SAAS,CAAC,EAAEsO,GAAGtO,EAAE,QAAQ,UAAU,CAAC,OAAOsO,GAAGtO,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEuO,GAAGvO,EAAE,UAAU,UAAU,CAAC,OAAOuO,GAAGvO,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAEyO,GAAGzO,EAAE,SAAS,UAAU,CAAC,OAAOyO,GAAGzO,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE0O,GAAG1O,EAAE,cAAc,UAAU,CAAC,OAAO0O,GAAG1O,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAE2O,GAAG3O,EAAE,WAAW,UAAU,CAAC,OAAO2O,GAAG3O,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAE4O,GAAG5O,EAAE,MAAM,UAAU,CAAC,OAAO4O,GAAG5O,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE6O,GAAG7O,EAAE,WAAW,UAAU,CAAC,OAAO6O,GAAG7O,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAE8O,GAAG9O,EAAE,KAAK,UAAU,CAAC,OAAO8O,GAAG9O,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE+O,GAAG/O,EAAE,YAAY,UAAU,CAAC,OAAO+O,GAAG/O,EAAE,YAAYA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAEgP,GAAGhP,EAAE,YAAY,UAAU,CAAC,OAAOgP,GAAGhP,EAAE,YAAYA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAEiP,GAAGjP,EAAE,WAAW,UAAU,CAAC,OAAOiP,GAAGjP,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEkP,GAAGlP,EAAE,YAAY,UAAU,CAAC,OAAOkP,GAAGlP,EAAE,YAAYA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAEyP,GAAGzP,EAAE,KAAK,UAAU,CAAC,OAAOyP,GAAGzP,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEwO,GAAGxO,EAAE,SAAS,UAAU,CAAC,OAAOwO,GAAGxO,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE8K,GAAG9K,EAAE,SAAS,UAAU,CAAC,OAAO8K,GAAG9K,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE0P,GAAG1P,EAAE,MAAM,UAAU,CAAC,OAAO0P,GAAG1P,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE2P,GAAG3P,EAAE,KAAK,UAAU,CAAC,OAAO2P,GAAG3P,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE4P,GAAG5P,EAAE,SAAS,UAAU,CAAC,OAAO4P,GAAG5P,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE6P,GAAG7P,EAAE,WAAW,UAAU,CAAC,OAAO6P,GAAG7P,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAE8P,GAAG9P,EAAE,UAAU,UAAU,CAAC,OAAO8P,GAAG9P,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAE+P,GAAG/P,EAAE,KAAK,UAAU,CAAC,OAAO+P,GAAG/P,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEgQ,GAAGhQ,EAAE,qBAAqB,UAAU,CAAC,OAAOgQ,GAAGhQ,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAEiQ,GAAGjQ,EAAE,qBAAqB,UAAU,CAAC,OAAOiQ,GAAGjQ,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAEkQ,GAAGlQ,EAAE,qBAAqB,UAAU,CAAC,OAAOkQ,GAAGlQ,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAEmQ,GAAGnQ,EAAE,UAAU,UAAU,CAAC,OAAOmQ,GAAGnQ,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAEoQ,GAAGpQ,EAAE,QAAQ,UAAU,CAAC,OAAOoQ,GAAGpQ,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEqQ,GAAGrQ,EAAE,OAAO,UAAU,CAAC,OAAOqQ,GAAGrQ,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEsQ,GAAGtQ,EAAE,KAAK,UAAU,CAAC,OAAOsQ,GAAGtQ,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEuQ,GAAGvQ,EAAE,OAAO,UAAU,CAAC,OAAOuQ,GAAGvQ,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEwQ,GAAGxQ,EAAE,MAAM,UAAU,CAAC,OAAOwQ,GAAGxQ,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEyQ,GAAGzQ,EAAE,SAAS,UAAU,CAAC,OAAOyQ,GAAGzQ,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE0Q,GAAG1Q,EAAE,MAAM,UAAU,CAAC,OAAO0Q,GAAG1Q,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE2Q,GAAG3Q,EAAE,OAAO,UAAU,CAAC,OAAO2Q,GAAG3Q,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAE4Q,GAAG5Q,EAAE,gBAAgB,UAAU,CAAC,OAAO4Q,GAAG5Q,EAAE,gBAAgBA,EAAE,IAAI,gBAAgB,MAAM,KAAK,SAAS,CAAC,EAAE6Q,GAAG7Q,EAAE,uBAAuB,UAAU,CAAC,OAAO6Q,GAAG7Q,EAAE,uBAAuBA,EAAE,IAAI,uBAAuB,MAAM,KAAK,SAAS,CAAC,EAAE8Q,GAAG9Q,EAAE,SAAS,UAAU,CAAC,OAAO8Q,GAAG9Q,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE+Q,GAAG/Q,EAAE,kBAAkB,UAAU,CAAC,OAAO+Q,GAAG/Q,EAAE,kBAAkBA,EAAE,IAAI,kBAAkB,MAAM,KAAK,SAAS,CAAC,EAAEgR,GAAGhR,EAAE,OAAO,UAAU,CAAC,OAAOgR,GAAGhR,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEiR,GAAGjR,EAAE,OAAO,UAAU,CAAC,OAAOiR,GAAGjR,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEkR,GAAGlR,EAAE,WAAW,UAAU,CAAC,OAAOkR,GAAGlR,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEmR,GAAGnR,EAAE,UAAU,UAAU,CAAC,OAAOmR,GAAGnR,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAEoR,GAAGpR,EAAE,SAAS,UAAU,CAAC,OAAOoR,GAAGpR,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEqR,GAAGrR,EAAE,KAAK,UAAU,CAAC,OAAOqR,GAAGrR,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEsR,GAAGtR,EAAE,SAAS,UAAU,CAAC,OAAOsR,GAAGtR,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEuR,GAAGvR,EAAE,qBAAqB,UAAU,CAAC,OAAOuR,GAAGvR,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAEwR,GAAGxR,EAAE,eAAe,UAAU,CAAC,OAAOwR,GAAGxR,EAAE,eAAeA,EAAE,IAAI,eAAe,MAAM,KAAK,SAAS,CAAC,EAAEyR,GAAGzR,EAAE,wBAAwB,UAAU,CAAC,OAAOyR,GAAGzR,EAAE,wBAAwBA,EAAE,IAAI,wBAAwB,MAAM,KAAK,SAAS,CAAC,EAAE0R,GAAG1R,EAAE,MAAM,UAAU,CAAC,OAAO0R,GAAG1R,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE2R,GAAG3R,EAAE,QAAQ,UAAU,CAAC,OAAO2R,GAAG3R,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAE4R,GAAG5R,EAAE,mBAAmB,UAAU,CAAC,OAAO4R,GAAG5R,EAAE,mBAAmBA,EAAE,IAAI,mBAAmB,MAAM,KAAK,SAAS,CAAC,EAAE6R,GAAG7R,EAAE,MAAM,UAAU,CAAC,OAAO6R,GAAG7R,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE8R,GAAG9R,EAAE,cAAc,UAAU,CAAC,OAAO8R,GAAG9R,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAE+R,GAAG/R,EAAE,KAAK,UAAU,CAAC,OAAO+R,GAAG/R,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEgS,GAAGhS,EAAE,KAAK,UAAU,CAAC,OAAOgS,GAAGhS,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEiS,GAAGjS,EAAE,KAAK,UAAU,CAAC,OAAOiS,GAAGjS,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEkS,GAAGlS,EAAE,MAAM,UAAU,CAAC,OAAOkS,GAAGlS,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEmS,GAAGnS,EAAE,MAAM,UAAU,CAAC,OAAOmS,GAAGnS,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEoS,GAAGpS,EAAE,MAAM,UAAU,CAAC,OAAOoS,GAAGpS,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEqS,GAAGrS,EAAE,WAAW,UAAU,CAAC,OAAOqS,GAAGrS,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEsS,GAAGtS,EAAE,WAAW,UAAU,CAAC,OAAOsS,GAAGtS,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEuS,GAAGvS,EAAE,cAAc,UAAU,CAAC,OAAOuS,GAAGvS,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEwS,GAAGxS,EAAE,QAAQ,UAAU,CAAC,OAAOwS,GAAGxS,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEyS,GAAGzS,EAAE,MAAM,UAAU,CAAC,OAAOyS,GAAGzS,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE0S,GAAG1S,EAAE,kBAAkB,UAAU,CAAC,OAAO0S,GAAG1S,EAAE,kBAAkBA,EAAE,IAAI,kBAAkB,MAAM,KAAK,SAAS,CAAC,EAAE2S,GAAG3S,EAAE,UAAU,UAAU,CAAC,OAAO2S,GAAG3S,EAAE,UAAUA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAE4S,GAAG5S,EAAE,aAAa,UAAU,CAAC,OAAO4S,GAAG5S,EAAE,aAAaA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAE6S,GAAG7S,EAAE,WAAW,UAAU,CAAC,OAAO6S,GAAG7S,EAAE,WAAWA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAE8S,GAAG9S,EAAE,iBAAiB,UAAU,CAAC,OAAO8S,GAAG9S,EAAE,iBAAiBA,EAAE,IAAI,kBAAkB,MAAM,KAAK,SAAS,CAAC,EAAE+S,GAAG/S,EAAE,aAAa,UAAU,CAAC,OAAO+S,GAAG/S,EAAE,aAAaA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEA,EAAE,MAAM0L,GAAG,IAAIsH,GAAG1J,GAAG,SAAS+J,GAAG,CAACL,IAAIC,GAAG,EAAED,KAAK1J,GAAG+J,EAAE,EAAE,SAASJ,GAAGI,EAAE,CAAC,GAAGA,EAAEA,GAAGtR,EAAE4E,GAAG,IAAIG,GAAG,EAAEH,GAAG,GAAG,OAAO,SAAS2M,IAAI,CAACN,KAAKA,GAAG,GAAGhT,EAAE,UAAU,GAAG,CAACiF,IAAImE,GAAG,EAAEhJ,EAAEJ,CAAC,EAAEA,EAAE,sBAAsBA,EAAE,qBAAqB,EAAE+G,GAAG,GAAG,CAAC/G,EAAE,WAAWA,EAAE,UAAU,YAAY,EAAE,WAAW,UAAU,CAAC,WAAW,UAAU,CAACA,EAAE,UAAU,EAAE,CAAC,EAAE,CAAC,EAAEsT,GAAG,CAAC,EAAE,CAAC,GAAGA,GAAG,CAAC,CAAC,GAAGtT,EAAE,QAAQ,IAAI,OAAOA,EAAE,SAAS,aAAaA,EAAE,QAAQ,CAACA,EAAE,OAAO,GAAGA,EAAE,QAAQ,OAAO,GAAGA,EAAE,QAAQ,IAAI,EAAE,EAAEiT,GAAG,EAAE,IAAIC,GAAGrR,IAAIqR,GAAG,CAAC,kBAAkB,QAAQ,UAAU,mBAAmB,EAAE,OAAO,SAASG,EAAE,CAAC,MAAM,CAACxR,EAAE,kBAAkB,QAAQwR,CAAC,EAAE,EAAE,CAAC,EAAE,mBAAmB,QAAQ,UAAU,oBAAoB,EAAE,OAAO,SAASA,EAAE,CAAC,MAAM,CAACxR,EAAE,mBAAmB,QAAQwR,CAAC,EAAE,EAAE,CAAC,CAAC,GAAG,IAAIF,GAAG,GAAG,OAAOvS,GAAG,YAAYuS,GAAGvS,UAAU,OAAO,+BAA+B,YAAYuS,GAAG,kCAAmC,OAAM,IAAI,MAAM,uCAAuC,EAAE,GAAGD,GAAG,CAAC,IAAIE,GAAGD,GAAG,SAASA,GAAG,SAAS,UAAU,CAACC,GAAG,EAAEF,GAAG,kBAAkB,QAAQ,SAASG,EAAE,CAAC,QAAQ,eAAe,oBAAoBA,CAAC,CAAC,CAAC,EAAEH,GAAG,mBAAmB,QAAQ,SAASG,EAAE,CAAC,QAAQ,eAAe,qBAAqBA,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOzS,EAAE,KAAK,CAAC,GAAG,EAAE,OAAOkW,GAAI,UAAU,OAAOC,GAAI,SAASA,EAAG,QAAQC,EAAG,OAAO,QAAQ,YAAY,OAAO,IAAI,OAAO,CAAC,EAAE,UAAU,CAAC,OAAOA,CAAE,CAAC,EAAE,OAAOF,GAAI,WAAWA,EAAG,kBAAkBE,EAAG,CAAC,EAAMC,GAAG,KAAK,CAAC,YAAYrW,EAAEZ,EAAE,CAAC,KAAK,QAAQY,EAAE,KAAK,UAAUZ,EAAE,KAAK,KAAK,IAAI,QAAQ,KAAK,aAAa,CAAC,CAAC,IAAIY,EAAE,CAAC,OAAO,KAAK,KAAK,IAAIA,CAAC,GAAG,KAAK,UAAU,SAAS,KAAK,QAAQA,CAAC,EAAE,KAAK,KAAK,IAAIA,CAAC,CAAC,CAAC,IAAIA,EAAEZ,EAAE,CAAC,KAAK,eAAe,KAAK,KAAK,IAAIY,EAAEZ,CAAC,CAAC,CAAC,IAAIY,EAAE,CAAC,OAAO,KAAK,KAAK,IAAIA,CAAC,CAAC,CAAC,OAAOA,EAAE,CAAC,OAAO,KAAK,eAAe,KAAK,KAAK,OAAOA,CAAC,CAAC,CAAC,YAAY,CAAC,OAAO,KAAK,YAAY,CAAC,EAAEsW,GAAG,KAAK,CAAC,SAAStW,EAAE,CAAC,OAAOuW,GAAG,UAAU,CAAC,CAAC,OAAOvW,EAAE,CAAC,OAAOuW,GAAG,QAAQ,CAAC,CAAC,gBAAgB,CAAC,MAAM,EAAE,CAAC,KAAKvW,EAAE,CAAC,OAAOuW,GAAG,MAAM,CAAC,CAAC,KAAKvW,EAAE,CAAC,OAAOuW,GAAG,MAAM,CAAC,CAAC,SAASvW,EAAE,CAAC,OAAOuW,GAAG,UAAU,CAAC,CAAC,UAAUvW,EAAEZ,EAAE,CAAC,OAAOmX,GAAG,WAAW,CAAC,CAAC,YAAY,CAAC,OAAOA,GAAG,YAAY,CAAC,CAAC,YAAYvW,EAAEZ,EAAE,CAAC,OAAOmX,GAAG,aAAa,CAAC,CAAC,MAAMvW,EAAEZ,EAAE,EAAE,CAAC,OAAOmX,GAAG,OAAO,CAAC,CAAC,KAAKvW,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,OAAOsV,GAAG,MAAM,CAAC,CAAC,wBAAwBvW,EAAEZ,EAAE,EAAE,CAAC,OAAOmX,GAAG,yBAAyB,CAAC,CAAC,QAAQ,CAAC,OAAOA,GAAG,QAAQ,CAAC,CAAC,gBAAgB,CAAC,OAAOA,GAAG,gBAAgB,CAAC,CAAC,SAAS,CAAC,OAAO,KAAK,eAAe,IAAI,GAAG,KAAK,IAAI,CAAC,SAAS,CAAC,OAAOA,GAAG,SAAS,CAAC,CAAC,EAAE,SAASA,GAAGrX,EAAE,CAAC,MAAM,IAAI,MAAM,IAAIA,2HAA2H,CAAC,CAAC,SAASsX,GAAGtX,EAAE,CAAC,IAAI,EAAEA,EAAE,OAAOE,EAAE,EAAE,KAAK,EAAE,GAAGA,EAAE,KAAK,OAAO,EAAE,EAAE,EAAE,IAAIqX,GAAGvX,EAAE,EAAEE,CAAC,CAAC,CAAC,SAASsX,GAAGxX,EAAE,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,MAAM,IAAI,MAAM,yEAAyEA,EAAE,iCAAiC,EAAE,QAAQ,EAAE,IAAIE,EAAEF,EAAE,OAAOM,EAAE,EAAE,KAAKJ,EAAE,GAAGI,EAAE,KAAK,OAAO,EAAEJ,EAAE,EAAEA,IAAIqX,GAAGvX,EAAEE,EAAEI,CAAC,EAAEiX,GAAG,EAAErX,EAAEI,CAAC,CAAC,CAAC,SAASmX,GAAGzX,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,IAAIF,EAAE,KAAK,IAAI,EAAEE,CAAC,CAAC,CAAC,CAAC,SAASwX,GAAG1X,EAAE,CAAC,OAAOA,EAAE,IAAI,EAAEA,EAAEA,EAAE,CAAC,CAAC,SAASuX,GAAGvX,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,GAAGA,EAAE,GAAGA,EAAEE,GAAGF,EAAEE,GAAGI,CAAC,CAAC,SAASqX,GAAG3X,EAAE,CAAC,IAAI,EAAE,EAAE,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,GAAGF,EAAEE,GAAG,OAAO,CAAC,CAAC,SAAS0X,GAAG5X,EAAE,EAAE,CAAC,IAAIE,EAAE,KAAK,OAAO,EAAE,OAAO,EAAEA,GAAG,EAAEA,GAAGF,CAAC,CAAC,SAAS6X,GAAG7X,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAE,QAAQI,EAAE,EAAEA,EAAEN,EAAE,OAAOM,IAAI,CAAC,IAAIC,EAAE,OAAOP,EAAEM,EAAE,EAAE,OAAO,EAAEA,EAAE,EAAEJ,GAAGK,EAAEA,CAAC,CAAC,OAAOL,CAAC,CAAC,SAAS4X,EAAE9X,EAAE,EAAE,CAAC,GAAG,CAACA,EAAE,MAAM,IAAI,MAAM,OAAO,GAAG,SAAS,EAAE,EAAE,CAAC,CAAC,CAAC,SAAS+X,GAAG/X,EAAE,EAAEE,EAAE,GAAG,CAAC4X,EAAEE,GAAGhY,EAAE,CAAC,EAAE,IAAIE,EAAE,WAAWF,SAAS,cAAc,CAAC,CAAC,SAASiY,GAAGjY,EAAE,CAAC8X,EAAE9X,GAAG,KAAK,IAAI,+DAA+D,CAAC,CAAC,SAASkY,GAAGlY,EAAE,EAAE,CAAC,EAAEE,EAAE,GAAG,CAAC,GAAG,GAAG,OAAO,EAAE,CAAC,GAAG,MAAM,QAAQF,CAAC,GAAGmY,GAAGnY,CAAC,GAAG,CAACE,EAAE,QAAQI,EAAE,EAAEA,EAAEN,EAAE,OAAO,EAAEM,EAAE4X,GAAGlY,EAAEM,GAAG,EAAEJ,CAAC,OAAO,EAAE,KAAKF,CAAC,EAAE,OAAO,CAAC,CAAC,SAASoY,GAAGpY,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,MAAO,GAAE,IAAI,EAAEA,EAAE,GAAG,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,GAAGF,EAAEE,GAAG,OAAO,CAAC,CAAC,SAASmY,GAAGrY,EAAE,CAAC,OAAOA,EAAE,SAAS,CAAC,CAAC,SAASgY,GAAGhY,EAAE,EAAE,CAAC,GAAGA,IAAI,EAAE,MAAM,GAAG,GAAGA,GAAG,MAAM,GAAG,MAAMA,EAAE,SAAS,EAAE,OAAO,MAAM,GAAG,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,GAAGF,EAAEE,KAAK,EAAEA,GAAG,MAAM,GAAG,MAAM,EAAE,CAAC,SAASoY,GAAGtY,EAAE,CAAC,OAAOA,EAAE,IAAI,CAAC,CAAC,SAASuY,GAAGvY,EAAE,CAAC,GAAG,KAAK,MAAM,KAAK,OAAO,KAAK,KAAKA,CAAC,EAAE,GAAGA,IAAI,EAAE,EAAE,MAAO,GAAE,GAAGA,IAAI,GAAG,EAAE,MAAM,GAAG,CAAC,IAAI,EAAE,KAAK,IAAI,EAAEA,CAAC,EAAE,OAAO,EAAE,IAAI,EAAE,EAAE,CAAC,CAAC,SAASwY,GAAGxY,EAAE,CAAC,IAAI,EAAE,KAAK,KAAK,KAAK,KAAKA,CAAC,CAAC,EAAE,MAAM,CAAC,EAAE,KAAK,KAAKA,EAAE,CAAC,CAAC,CAAC,CAAC,SAASyY,GAAGzY,EAAE,CAAC,IAAI,EAAE,IAAI,YAAYA,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEF,EAAE,EAAEE,EAAE,EAAEA,GAAGA,EAAE,OAAOoX,GAAG,CAAC,EAAE,CAAC,CAAC,SAASoB,GAAG1Y,EAAE,EAAE,CAAC,OAAO,GAAGA,EAAE,OAAOA,EAAEA,EAAE,IAAI,OAAO,EAAEA,EAAE,MAAM,CAAC,CAAC,SAAS2Y,GAAG3Y,EAAE,EAAEO,GAAG,EAAEL,EAAEI,EAAE,CAAC,OAAO,IAAI,QAAQ,CAACC,EAAE,IAAI,CAAC,IAAI,EAAE,EAAE0B,EAAE,IAAI,CAAC,GAAGjC,EAAE,EAAE,CAACO,EAAE,EAAE,MAAM,CAAC,IAAI,IAAI2B,EAAE,EAAE,CAAC,EAAE,GAAGhC,GAAG,MAAM,GAAGA,EAAE,CAAC,EAAE,EAAE,MAAM,CAACI,GAAG,KAAKA,EAAE2B,EAAEC,CAAC,EAAE,WAAWD,EAAEC,CAAC,CAAC,EAAED,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS2W,GAAG5Y,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAEI,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAEN,EAAE,OAAO,EAAE,EAAE,GAAGA,EAAE,IAAI,EAAEE,GAAGF,EAAE,WAAWA,EAAE,KAAK,GAAG,CAAC,GAAGM,IAAI,GAAG,MAAM,MAAM,yDAAyDA,aAAa,GAAG,EAAEA,EAAE,CAAC,SAASN,EAAE,GAAG,EAAE,MAAM,MAAM,gCAAgCA,EAAE,aAAa,GAAG,EAAE,GAAGM,IAAI,GAAG,CAAC,GAAG,EAAE,GAAG,IAAIJ,EAAE,MAAM,MAAM,QAAQ,sCAAsCF,GAAG,EAAE,OAAOA,CAAC,CAAC,GAAGE,IAAI,EAAE,MAAM,MAAM,qCAAqCF,8BAA8B,EAAE,GAAG,EAAEE,IAAI,EAAE,MAAM,MAAM,wDAAwD,OAAOA,GAAG,EAAE,IAAIK,EAAEP,EAAE,MAAM,EAAE,OAAOO,EAAED,GAAG,EAAEJ,EAAEK,CAAC,CAAC,SAASsY,GAAG7Y,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAE,OAAO,OAAOF,EAAEA,GAAG,KAAK,EAAE,IAAI,CAACM,EAAEC,IAAIA,CAAC,EAAE,CAAC,EAAE,OAAOP,CAAC,EAAE8X,EAAE9X,EAAE,MAAMM,GAAGA,GAAG,CAACJ,GAAGI,EAAEJ,CAAC,EAAE,IAAI,+CAA+CA,MAAMA,mBAAmBF,GAAG,EAAE8X,EAAE9X,EAAE,MAAMM,GAAGgY,GAAGhY,CAAC,CAAC,EAAE,IAAI,0DAA0DN,GAAG,EAAEA,EAAE,IAAIM,GAAGA,EAAE,EAAEJ,EAAEI,EAAEA,CAAC,CAAC,CAAC,SAASwY,GAAG9Y,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEI,EAAE,CAAC,EAAEC,EAAE,GAAG,MAAM,MAAM,QAAQ,CAAC,GAAG,EAAE,SAAS,EAAE,EAAE,GAAG,MAAMA,EAAE,KAAKsY,GAAG,EAAE7Y,CAAC,EAAE,KAAK,EAAE,EAAE,EAAE,QAAQiC,EAAE,EAAEA,EAAEjC,EAAE,OAAO,EAAEiC,EAAE,CAAC,GAAG,GAAG,KAAK,CAAC,GAAG,EAAE,KAAKA,GAAGjC,EAAEiC,KAAK,EAAE,MAAM,IAAI,MAAM,sBAAsBA,oBAAoBjC,EAAEiC,cAAc,GAAG,EAAE,IAAI,MAAM,EAAE,GAAGA,IAAIjC,EAAEiC,KAAK,IAAI/B,EAAE,KAAKF,EAAEiC,EAAE,EAAE3B,EAAE,KAAK2B,CAAC,GAAG,EAAE,IAAIA,GAAG,GAAG,CAACjC,EAAEiC,KAAK,IAAI/B,EAAE,KAAKF,EAAEiC,EAAE,EAAE3B,EAAE,KAAK2B,CAAC,EAAE,CAAC,MAAM,CAAC,SAAS/B,EAAE,SAASI,CAAC,CAAC,CAAC,SAASyY,GAAG/Y,EAAE,EAAE,CAAC,IAAIE,EAAE,KAAK,GAAGF,GAAG,MAAMA,IAAI,UAAUE,EAAE,IAAI,aAAa,CAAC,UAAUF,IAAI,QAAQE,EAAE,IAAI,WAAW,CAAC,UAAUF,IAAI,OAAOE,EAAE,IAAI,WAAW,CAAC,MAAO,OAAM,IAAI,MAAM,qBAAqBF,GAAG,EAAE,OAAOE,CAAC,CAAC,SAAS8Y,GAAGhZ,EAAE,EAAE,CAAC,IAAIE,EAAE,KAAK,GAAGF,GAAG,MAAMA,IAAI,UAAUE,EAAE,IAAI,aAAa,CAAC,UAAUF,IAAI,QAAQE,EAAE,IAAI,WAAW,CAAC,UAAUF,IAAI,OAAOE,EAAE,IAAI,WAAW,CAAC,UAAUF,IAAI,SAASE,EAAE,IAAI,MAAM,CAAC,MAAO,OAAM,IAAI,MAAM,qBAAqBF,GAAG,EAAE,OAAOE,CAAC,CAAC,SAAS+Y,GAAGjZ,EAAE,EAAE,CAAC,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,CAAC,IAAII,EAAEN,EAAEE,GAAG,GAAG,MAAMI,CAAC,GAAG,CAAC,SAASA,CAAC,EAAE,MAAM,MAAM,oBAAoB,6BAA6BA,IAAI,CAAC,CAAC,CAAC,SAAS4Y,GAAGlZ,EAAE,CAAC,OAAOA,IAAI,QAAQA,IAAI,aAAaA,IAAI,WAAWA,IAAI,SAASA,IAAI,QAAQ,CAAC,SAASmZ,GAAGnZ,EAAE,EAAE,CAAC,MAAM,EAAE,IAAI,aAAa,IAAI,WAAWA,IAAI,aAAa,IAAI,SAASA,IAAI,WAAWA,IAAI,aAAa,IAAI,QAAQA,IAAI,OAAO,CAAC,SAASmY,GAAGnY,EAAE,CAAC,OAAOA,aAAa,cAAcA,aAAa,YAAYA,aAAa,YAAYA,aAAa,iBAAiB,CAAC,SAASoZ,GAAGpZ,EAAE,CAAC,GAAGA,IAAI,WAAWA,IAAI,QAAQ,MAAO,GAAE,GAAGA,IAAI,YAAY,MAAO,GAAE,GAAGA,IAAI,OAAO,MAAO,GAAE,MAAM,IAAI,MAAM,iBAAiBA,GAAG,CAAC,CAAC,SAASqZ,GAAGrZ,EAAE,CAAC,GAAGA,GAAG,KAAK,MAAO,GAAE,IAAI,EAAE,EAAE,OAAOA,EAAE,QAAQE,GAAG,GAAGA,EAAE,MAAM,EAAE,CAAC,CAAC,SAASoZ,GAAGtZ,EAAE,CAAC,OAAO,OAAOA,GAAG,UAAUA,aAAa,MAAM,CAAC,SAASuZ,GAAGvZ,EAAE,CAAC,OAAO,OAAOA,GAAG,SAAS,CAAC,SAASwZ,GAAGxZ,EAAE,CAAC,OAAO,OAAOA,GAAG,QAAQ,CAAC,SAASyZ,GAAGzZ,EAAE,CAAC,OAAO,MAAM,QAAQA,CAAC,EAAEyZ,GAAGzZ,EAAE,EAAE,EAAEA,aAAa,aAAa,UAAUA,aAAa,YAAYA,aAAa,YAAYA,aAAa,kBAAkB,QAAQwZ,GAAGxZ,CAAC,EAAE,UAAUsZ,GAAGtZ,CAAC,EAAE,SAASuZ,GAAGvZ,CAAC,EAAE,OAAO,SAAS,CAAC,SAAS0Z,GAAG1Z,EAAE,CAAC,MAAM,CAAC,EAAEA,GAAGA,EAAE,aAAaA,EAAE,MAAMA,EAAE,MAAM,CAAC,SAAS2Z,GAAG3Z,EAAE,EAAE,CAAC,QAAQE,EAAE,EAAEA,EAAEF,EAAE,EAAEE,EAAE,GAAGF,EAAEE,IAAI,EAAE,OAAOA,EAAE,OAAOF,CAAC,CAAC,SAAS4Z,GAAG5Z,EAAE,CAAC,IAAI,EAAEA,EAAE,OAAO,GAAG,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIE,EAAE,IAAI,MAAM,EAAE,CAAC,EAAEA,EAAE,EAAE,GAAGF,EAAE,EAAE,GAAG,QAAQM,EAAE,EAAE,EAAEA,GAAG,EAAE,EAAEA,EAAEJ,EAAEI,GAAGJ,EAAEI,EAAE,GAAGN,EAAEM,EAAE,GAAG,OAAOJ,CAAC,CAAC,SAAS2Z,GAAG7Z,EAAE,EAAEE,EAAEI,EAAE,GAAG,CAAC,IAAIC,EAAE,IAAI,MAAM,GAAG,EAAE,SAAS,EAAE,CAAC,IAAI,EAAE,EAAE,IAAID,EAAE,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAE,EAAE,IAAIC,EAAE,GAAGL,EAAEF,EAAE,EAAE,KAAK,CAAC,IAAI,EAAE,EAAE,GAAG,EAAE,EAAE,MAAM,CAAC,EAAEiC,EAAE,EAAE,OAAO,CAACC,EAAEC,IAAID,EAAEC,CAAC,GAAG7B,EAAE,EAAE,GAAG,QAAQ4B,EAAE,EAAEA,EAAE,EAAEA,IAAI3B,EAAE2B,GAAG2X,GAAG7Z,EAAEkC,EAAED,EAAE,EAAE/B,EAAEI,CAAC,CAAC,CAAC,OAAOC,CAAC,CAAC,SAASuZ,GAAG9Z,EAAE,EAAEE,EAAE,GAAG,CAAC,GAAGF,EAAE,SAAS,EAAE,OAAO,EAAE,GAAG,IAAIM,EAAEN,EAAE,OAAO,CAACO,EAAE,IAAIA,EAAE,CAAC,GAAGL,EAAE,EAAE,GAAG,GAAGI,IAAI,EAAE,MAAM,CAAC,EAAE,GAAGA,IAAI,EAAE,OAAO,MAAM,IAAI,MAAM,IAAIN,oCAAoC,EAAE,SAASE,EAAE,wBAAwB,KAAK,EAAE,OAAO2Z,GAAG,EAAE7Z,EAAE,EAAEE,CAAC,CAAC,CAAC,SAAS6Z,GAAG/Z,EAAE,EAAE,CAAC,IAAIE,EAAE8Z,GAAGha,EAAE,CAAC,EAAE,QAAQM,EAAE,EAAEA,EAAEJ,EAAE,OAAOI,IAAIJ,EAAEI,GAAG,EAAE,OAAOJ,CAAC,CAAC,SAAS8Z,GAAGha,EAAE,EAAE,CAAC,GAAG,GAAG,MAAM,IAAI,WAAW,IAAI,YAAY,OAAO,IAAI,aAAaA,CAAC,EAAE,GAAG,IAAI,QAAQ,OAAO,IAAI,WAAWA,CAAC,EAAE,GAAG,IAAI,OAAO,OAAO,IAAI,WAAWA,CAAC,EAAE,MAAM,IAAI,MAAM,qBAAqB,GAAG,CAAC,CAAC,SAASia,GAAGja,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,OAAO,CAACM,EAAEC,IAAID,EAAEC,EAAE,CAAC,EAAE,GAAG,GAAG,MAAM,IAAI,UAAU,OAAOuZ,GAAG9Z,EAAE,IAAI,aAAaE,CAAC,CAAC,EAAE,GAAG,IAAI,QAAQ,OAAO4Z,GAAG9Z,EAAE,IAAI,WAAWE,CAAC,CAAC,EAAE,GAAG,IAAI,OAAO,OAAO4Z,GAAG9Z,EAAE,IAAI,WAAWE,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,qBAAqB,GAAG,CAAC,CAAC,SAASga,GAAGla,EAAE,CAACA,EAAE,QAAQ,GAAG,CAAC8X,EAAE,OAAO,UAAU,CAAC,GAAG,GAAG,EAAE,IAAI,0EAA0E9X,KAAK,CAAC,CAAC,CAAC,CAAC,SAASma,GAAGna,EAAE,EAAEE,EAAE,CAAC,GAAG,IAAI,EAAE,MAAO,GAAE,GAAG,IAAI,EAAE,OAAOF,EAAE,GAAG,IAAIM,EAAEN,EAAEA,EAAE,OAAO,GAAG,QAAQO,EAAE,EAAEA,EAAEP,EAAE,OAAO,EAAE,EAAEO,EAAED,GAAGJ,EAAEK,GAAGP,EAAEO,GAAG,OAAOD,CAAC,CAAC,SAAS8Z,GAAGpa,EAAE,EAAEE,EAAE,CAAC,GAAG,IAAI,EAAE,MAAM,CAAC,EAAE,GAAG,IAAI,EAAE,MAAM,CAACF,CAAC,EAAE,IAAIM,EAAE,IAAI,MAAM,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAED,EAAE,OAAO,EAAE,EAAEC,EAAED,EAAEC,GAAG,KAAK,MAAMP,EAAEE,EAAEK,EAAE,EAAEP,GAAGM,EAAEC,GAAGL,EAAEK,GAAG,OAAOD,EAAEA,EAAE,OAAO,GAAGN,EAAEM,CAAC,CAAC,SAAS+Z,GAAGra,EAAE,CAAC,OAAOA,GAAGA,EAAE,MAAM,OAAOA,EAAE,MAAM,UAAU,CAAC,IAAIsa,GAAG,YAAYC,GAAG,KAAK,CAAC,YAAYzZ,EAAE,CAAC,KAAK,OAAOA,EAAE,KAAK,MAAM,CAAC,EAAE,KAAK,aAAa,CAAC,EAAE,KAAK,SAAS,CAAC,EAAE,KAAK,eAAe0Z,GAAG,KAAK,iBAAiB,CAAC,CAAC,YAAY1Z,EAAEZ,EAAE,CAAC,KAAK,UAAU,OAAOua,EAAE,EAAE,QAAQ,SAAS,GAAGA,EAAE,EAAE,QAAQ,MAAM,GAAG,QAAQ,KAAK,YAAY,KAAK,oEAAoE3Z,IAAI,GAAG,KAAK,aAAaA,EAAE,KAAK,SAASZ,CAAC,CAAC,aAAaY,EAAEZ,EAAE,EAAE,CAAC,GAAG,KAAK,aAAaY,GAAG,CAAC,aAAaZ,EAAE,QAAQ,CAAC,EAAE,KAAK,SAASY,IAAI,KAAK,CAAC,IAAIP,EAAE,KAAK,SAASO,GAAG2Z,EAAE,EAAE,QAAQ,SAAS,GAAGA,EAAE,EAAE,QAAQ,MAAM,GAAG,QAAQ,KAAK,qCAAqC3Z,MAAMP,IAAI,EAAE,KAAK,IAAIO,EAAEP,CAAC,CAAC,CAAC,CAAC,MAAM,SAASO,EAAE,CAAC,OAAOA,KAAK,KAAK,MAAM,KAAK,MAAMA,IAAI,KAAK,MAAMA,GAAG,MAAM,KAAK,aAAaA,CAAC,EAAE,KAAK,MAAMA,GAAG,CAAC,IAAIA,EAAE,CAAC,GAAGA,KAAK,KAAK,MAAM,OAAO,KAAK,MAAMA,GAAG,IAAIZ,EAAE,KAAK,aAAaY,CAAC,EAAE,GAAGuZ,GAAGna,CAAC,EAAE,MAAM,IAAI,MAAM,QAAQY,qEAAqE,EAAE,OAAO,KAAK,MAAMA,GAAGZ,EAAE,KAAK,MAAMY,EAAE,CAAC,UAAUA,EAAE,CAAC,OAAO,KAAK,IAAIA,CAAC,CAAC,CAAC,QAAQA,EAAE,CAAC,OAAO,KAAK,IAAIA,CAAC,CAAC,CAAC,UAAU,CAAC,OAAO,KAAK,KAAK,CAAC,IAAI,UAAU,CAAC,OAAO,KAAK,KAAK,CAAC,IAAIA,EAAEZ,EAAE,CAAC,GAAG,KAAK,aAAaY,IAAI,KAAK,MAAM,IAAI,MAAM,mBAAmBA,kCAAkC,EAAE,KAAK,MAAMA,GAAGZ,EAAE,KAAK,aAAaY,GAAG,SAAS,MAAM,KAAK,aAAaA,GAAG,QAAQZ,CAAC,CAAC,CAAC,aAAaY,EAAE,CAAC,GAAG,KAAK,aAAaA,IAAI,KAAK,MAAM,IAAI,MAAM,yBAAyBA,mCAAmC,EAAE,OAAO,KAAK,aAAaA,GAAG,aAAa,CAAC,CAAC,SAASA,EAAE,CAAC,KAAK,MAAM,OAAO,OAAO,CAAC,EAAEA,CAAC,CAAC,CAAC,OAAO,CAAC,KAAK,MAAM,CAAC,EAAE,KAAK,SAAS,CAAC,EAAE,KAAK,iBAAiB,CAAC,CAAC,kBAAkB,CAAC,GAAG,OAAO,KAAK,QAAQ,aAAa,OAAO,KAAK,OAAO,UAAU,aAAa,OAAO,KAAK,OAAO,SAAS,QAAQ,YAAY,OAAO,IAAIA,EAAE,KAAK,eAAe,KAAK,OAAO,SAAS,MAAM,EAAEwZ,MAAMxZ,GAAGA,EAAEwZ,IAAI,MAAM,GAAG,EAAE,QAAQha,GAAG,CAAC,GAAG,CAACC,EAAEwB,CAAC,EAAEzB,EAAE,MAAM,GAAG,EAAE,KAAK,SAASC,GAAGma,GAAGna,EAAEwB,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAASyY,GAAGxa,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,OAAOA,EAAE,QAAQ,8BAA8B,CAACE,KAAKI,KAAKqa,GAAG,EAAEra,EAAE,GAAGA,EAAE,EAAE,EAAEA,EAAE,KAAK,GAAG,EAAE,EAAE,CAAC,CAAC,SAASqa,GAAG3a,EAAE,EAAEE,EAAE,CAACF,EAAE,mBAAmB,CAAC,GAAG,mBAAmBE,GAAG,EAAE,CAAC,CAAC,SAASwa,GAAG1a,EAAE,EAAE,CAAC,GAAG,EAAE,EAAE,YAAY,EAAE,IAAI,QAAQ,IAAI,QAAQ,OAAO,IAAI,OAAO,GAAG,GAAG,CAAC,MAAM,EAAE,MAAM,CAAC,EAAE,MAAM,IAAI,MAAM,oCAAoC,cAAcA,IAAI,CAAC,CAAC,SAASya,GAAG,CAAC,OAAOG,EAAE,CAAC,IAAIA,GAAG,KAAK,SAASC,GAAG7a,EAAE,CAAC4a,GAAG5a,CAAC,CAAC,IAAI8a,GAAG,SAASC,IAAI,CAAC,GAAGD,IAAI,KAAK,CAAC,IAAI9a,EAAE,GAAG,OAAO,QAAQ,YAAYA,EAAE,eAAe,OAAO,QAAQ,YAAYA,EAAE,eAAe,OAAO,SAAS,YAAYA,EAAE,gBAAgB,OAAO,MAAM,YAAYA,EAAE,SAAU,OAAM,IAAI,MAAM,gCAAgC,EAAE8a,GAAG9a,CAAC,CAAC,OAAO8a,EAAE,CAAC,SAASE,IAAI,CAAC,IAAIhb,EAAE+a,GAAG,EAAE,OAAO/a,EAAE,YAAY,OAAOA,EAAE,WAAW,IAAI,KAAKA,EAAE,UAAU,CAAC,SAASib,GAAGjb,EAAE,EAAE,CAAC,IAAIE,EAAE8a,GAAG,EAAE,GAAG9a,EAAE,IAAIF,CAAC,EAAE,OAAOE,EAAE,IAAIF,CAAC,EAAE,CAAC,IAAIM,EAAE,EAAE,EAAE,OAAOJ,EAAE,IAAIF,EAAEM,CAAC,EAAEJ,EAAE,IAAIF,CAAC,CAAC,CAAC,CAAC,IAAIkb,GAAG,MAAMC,GAAG,OAAOC,GAAG,QAAQC,GAAG,MAAMC,GAAG,OAAOC,GAAG,MAAMC,GAAG,MAAMC,GAAG,SAASC,GAAG,SAASC,GAAG,OAAOC,GAAG,QAAQC,GAAG,OAAOC,GAAG,QAAQC,GAAG,QAAQC,GAAG,UAAUC,GAAG,cAAcC,GAAG,YAAYC,GAAG,gBAAgBC,GAAG,cAAcC,GAAG,iBAAiBC,GAAG,WAAWC,GAAG,cAAcC,GAAG,gBAAgBC,GAAG,OAAOC,GAAG,OAAOC,GAAG,cAAcC,GAAG,UAAUC,GAAG,aAAaC,GAAG,SAASC,GAAG,SAASC,GAAG,uBAAuBC,GAAG,sBAAsBC,GAAG,SAASC,GAAG,yBAAyBC,GAAG,wBAAwBC,GAAG,MAAMC,GAAG,OAAOC,GAAG,UAAUC,GAAG,SAASC,GAAG,gBAAgBC,GAAG,gBAAgBC,GAAG,eAAeC,GAAG,wBAAwBC,GAAG,sCAAsCC,GAAG,qCAAqCC,GAAG,OAAOC,GAAG,aAAaC,GAAG,0BAA0BC,GAAG,2BAA2BC,GAAG,UAAUC,GAAG,SAASC,GAAG,MAAMC,GAAG,UAAUC,GAAG,MAAMC,GAAG,QAAQC,GAAG,MAAMC,GAAG,aAAaC,GAAG,QAAQC,GAAG,MAAMC,GAAG,OAAOC,GAAG,gBAAgBC,GAAG,QAAQC,GAAG,WAAWC,GAAG,iBAAiBC,GAAG,WAAWC,GAAG,WAAWC,GAAG,UAAUC,GAAG,eAAeC,GAAG,WAAWC,GAAG,OAAOC,GAAG,OAAOC,GAAG,WAAWC,GAAG,QAAQC,GAAG,QAAQC,GAAG,YAAYC,GAAG,OAAOC,GAAG,YAAYC,GAAG,WAAWC,GAAG,MAAMC,GAAG,QAAQC,GAAG,aAAaC,GAAG,aAAaC,GAAG,YAAYC,GAAG,aAAaC,GAAG,aAAaC,GAAI,aAAaC,GAAG,MAAMC,GAAG,UAAUC,GAAG,MAAMC,GAAG,UAAUC,GAAG,UAAUC,GAAG,cAAcC,GAAG,YAAYC,GAAG,gBAAgBC,GAAG,oBAAoBC,GAAG,OAAOC,GAAG,MAAMC,GAAG,UAAUC,GAAG,YAAYC,GAAG,MAAMC,GAAG,cAAcC,GAAG,WAAWC,GAAG,MAAMC,GAAG,WAAWC,GAAG,sBAAsBC,GAAG,sBAAsBC,GAAG,sBAAsBC,GAAG,WAAWC,GAAG,SAASC,GAAG,OAAOC,GAAG,QAAQC,GAAI,OAAOC,GAAG,MAAMC,GAAG,QAAQC,GAAG,OAAOC,GAAG,eAAeC,GAAG,cAAcC,GAAG,uBAAuBC,GAAG,QAAQC,GAAG,OAAOC,GAAG,aAAaC,GAAG,OAAOC,GAAG,UAAUC,GAAG,wBAAwBC,GAAG,4BAA4BC,GAAG,iBAAiBC,GAAG,qBAAqBC,GAAG,QAAQC,GAAG,UAAUC,GAAG,QAAQC,GAAG,QAAQC,GAAG,YAAYC,GAAG,eAAeC,GAAG,SAASC,GAAG,OAAOC,GAAG,QAAQC,GAAG,MAAMC,GAAG,OAAOC,GAAG,OAAOC,GAAG,UAAUC,GAAG,WAAWC,GAAG,OAAOC,GAAG,MAAMC,GAAG,iBAAiBC,GAAG,SAASC,GAAG,UAAUC,GAAG,sBAAsBC,GAAG,gBAAgBC,GAAG,oBAAoBC,GAAG,mBAAmBC,GAAG,gBAAgBC,GAAG,oBAAoBC,GAAG,SAASC,GAAG,eAAeC,GAAG,eAAeC,GAAG,cAAcC,GAAG,yBAAyBC,GAAG,MAAMC,GAAG,MAAMC,GAAG,OAAOC,GAAG,OAAOC,GAAG,OAAOC,GAAG,YAAYC,GAAG,YAAYC,GAAG,SAASC,GAAG,SAASC,GAAG,qBAAqBC,GAAI,aAAaC,GAAG,YAAYC,GAAG,OAAOC,GAAG,aAAaC,GAAG,mBAAmBC,GAAG,eAAeC,GAAG,cAAcC,GAAG,uBAAuB,SAASC,MAAMjmB,EAAE,CAACya,EAAE,EAAE,QAAQ,SAAS,GAAGA,EAAE,EAAE,QAAQ,MAAM,GAAG,QAAQ,KAAK,GAAGza,CAAC,CAAC,CAAC,SAASkmB,MAAMlmB,EAAE,CAACya,EAAE,EAAE,QAAQ,SAAS,GAAGA,EAAE,EAAE,QAAQ,MAAM,GAAG,QAAQ,IAAI,GAAGza,CAAC,CAAC,CAAC,IAAImmB,GAAGlL,GAAG,iBAAiB,IAAI,IAAI,GAAG,EAAEmL,GAAGnL,GAAG,eAAe,IAAI,IAAI,GAAG,EAAE,SAASoL,GAAGrmB,EAAE,EAAE,CAAC,IAAIE,EAAEomB,GAAGtmB,EAAE,CAAC,EAAE,OAAOmmB,GAAG,IAAIjmB,CAAC,CAAC,CAAC,SAASqmB,GAAGvmB,EAAE,CAAC,OAAOomB,GAAG,IAAIpmB,CAAC,CAAC,CAAC,SAASwmB,GAAGxmB,EAAE,CAAC,IAAI,EAAEmmB,GAAG,QAAQ,EAAEjmB,EAAE,CAAC,EAAE,OAAO,CAAC,GAAG,CAAC,KAAKI,EAAE,MAAMC,CAAC,EAAE,EAAE,KAAK,EAAE,GAAGD,EAAE,MAAM,GAAG,CAAC,EAAE,CAAC,EAAEC,EAAE,CAAC0B,CAAC,EAAE,EAAE,MAAM,GAAG,EAAEA,IAAIjC,GAAGE,EAAE,KAAK,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,SAASumB,GAAGzmB,EAAE,CAAC,GAAG,CAAC,WAAW,EAAE,YAAYE,CAAC,EAAEF,EAAEM,EAAEgmB,GAAG,EAAEpmB,CAAC,EAAEimB,GAAG,IAAI7lB,CAAC,GAAG2lB,GAAG,eAAe,mBAAmB/lB,0BAA0B,EAAEimB,GAAG,IAAI7lB,EAAEN,CAAC,CAAC,CAAC,SAAS0mB,GAAG1mB,EAAE,CAAC,GAAG,CAAC,WAAW,CAAC,EAAEA,EAAEomB,GAAG,IAAI,CAAC,GAAG3L,EAAE,EAAE,QAAQ,OAAO,GAAGwL,GAAG,gCAAgC,IAAI,EAAEG,GAAG,IAAI,EAAEpmB,CAAC,CAAC,CAAC,SAAS2mB,GAAI3mB,EAAE,EAAE,CAAC,IAAIE,EAAEomB,GAAGtmB,EAAE,CAAC,EAAE,GAAG,CAACmmB,GAAG,IAAIjmB,CAAC,EAAE,MAAM,IAAI,MAAM,eAAeF,mBAAmB,sBAAsB,EAAEmmB,GAAG,OAAOjmB,CAAC,CAAC,CAAC,SAAS0mB,GAAI5mB,EAAE,CAAC,GAAG,CAAComB,GAAG,IAAIpmB,CAAC,EAAE,MAAM,IAAI,MAAM,iBAAiBA,kCAAkC,EAAEomB,GAAG,OAAOpmB,CAAC,CAAC,CAAC,SAAS6mB,GAAI7mB,EAAE,EAAE,CAACwmB,GAAGxmB,CAAC,EAAE,QAAQ,GAAG,CAAC,IAAIO,EAAE,OAAO,OAAO,CAAC,EAAE,EAAE,CAAC,YAAY,CAAC,CAAC,EAAEkmB,GAAGlmB,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS+lB,GAAGtmB,EAAE,EAAE,CAAC,MAAM,GAAG,KAAKA,GAAG,CAAC,IAAI8mB,EAAE,CAAC,EAAE1mB,GAAG0mB,EAAE,CAAC,YAAY,IAAI9O,GAAG,OAAO,IAAIF,EAAE,mCAAmC,IAAIoC,GAAG,cAAc,IAAIjC,GAAG,kBAAkB,IAAIF,GAAG,qBAAqB,IAAIsB,GAAG,gBAAgB,IAAID,GAAG,yBAAyB,IAAIH,GAAG,MAAM,IAAIxB,GAAG,eAAe,IAAImC,GAAG,kBAAkB,IAAImN,GAAG,sBAAsB,IAAItO,GAAG,aAAa,IAAIuO,GAAG,YAAY,IAAInP,GAAG,aAAa,IAAIoP,GAAG,MAAM,IAAIC,GAAG,cAAc,IAAIC,GAAG,QAAQ,IAAIjP,GAAG,kBAAkB,IAAIc,GAAG,uBAAuB,IAAID,GAAG,gBAAgB,IAAII,GAAG,UAAU,IAAIiO,GAAG,WAAW,IAAIhN,GAAG,WAAW,IAAIX,GAAG,uBAAuB,IAAIb,GAAG,UAAU,IAAIW,GAAG,WAAW,IAAIG,GAAG,MAAM,IAAIpB,GAAG,SAAS,IAAIkB,GAAG,UAAU,IAAIa,GAAG,cAAc,IAAIhC,GAAG,SAAS,IAAIiB,GAAG,aAAa,IAAInB,GAAG,aAAa,IAAIe,GAAG,WAAW,IAAIiB,GAAG,mBAAmB,IAAIJ,GAAG,0BAA0B,IAAIE,GAAG,oBAAoB,IAAID,GAAG,eAAe,IAAIL,GAAG,kBAAkB,IAAIjC,GAAG,IAAI,IAAI2P,GAAG,eAAe,IAAIxO,GAAG,YAAY,IAAIjB,GAAG,YAAY,IAAIe,GAAG,SAAS,IAAID,GAAG,QAAQ,IAAIpB,GAAG,aAAa,IAAIE,GAAG,cAAc,IAAIY,GAAG,oBAAoB,IAAII,GAAG,aAAa,IAAIM,GAAG,IAAI,IAAInB,GAAG,KAAK,IAAIJ,GAAG,KAAK,IAAIgB,GAAG,cAAc,IAAIuB,GAAG,aAAa,IAAIwN,EAAE,CAAC,EAAE,IAAIC,GAAG/mB,GAAGC,GAAG,CAAC,EAAM+mB,GAAGD,GAAG,SAASA,GAAG,SAASH,GAAGpnB,EAAE,CAAC,OAAOwnB,GAAG,WAAWxnB,EAAE,GAAG,EAAE,CAAC,CAAC,IAAIynB,GAAGL,GAAG,kBAAkB,EAAEM,GAAGN,GAAG,kBAAkB,EAAEO,GAAGP,GAAG,kBAAkB,EAAE,SAASQ,GAAG5nB,EAAE,CAAC,OAAOA,EAAE,IAAIA,EAAE,KAAK,EAAE,CAAC,CAAC,CAAC,SAAS6nB,GAAG7nB,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,MAAM,EAAE,EAAEE,CAAC,EAAE,OAAOsnB,GAAG,UAAU,MAAM,KAAKlnB,CAAC,EAAE,GAAG,EAAE,CAAC,CAAC,SAASwnB,GAAG9nB,EAAE,EAAE,CAAC,OAAO6nB,GAAG7nB,EAAE,EAAE,CAAC,CAAC,CAAC,SAAS+nB,GAAG/nB,EAAE,EAAE,CAAC,OAAO6nB,GAAG7nB,EAAE,EAAE,CAAC,CAAC,CAAC,SAASgoB,GAAGhoB,EAAE,EAAE,CAAC,OAAO,IAAI,EAAEA,EAAEA,EAAE,KAAK,CAAC,EAAE,GAAGA,EAAE,IAAI,GAAG,CAAC,CAAC,CAAC,CAAC,SAASioB,GAAGjoB,EAAE,EAAEE,EAAEknB,GAAG,kBAAkB,EAAE,CAAC,IAAI9mB,EAAEN,EAAE,IAAI,CAAC,EAAE,IAAIE,CAAC,EAAEI,EAAEA,EAAE,IAAIA,EAAE,KAAK,EAAE,CAAC,EAAE,IAAIC,EAAE,EAAE,IAAID,CAAC,EAAE,IAAIJ,CAAC,EAAE,OAAOK,EAAEA,EAAE,IAAIA,EAAE,KAAK,EAAE,CAAC,EAAEA,EAAEA,EAAE,IAAIL,CAAC,EAAEK,CAAC,CAAC,SAAS2nB,GAAGloB,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAACA,EAAEA,EAAE,IAAIP,CAAC,EAAE,EAAEgoB,GAAG,EAAE,IAAIznB,CAAC,EAAE,IAAID,CAAC,EAAE,EAAE,EAAE,IAAI,EAAEC,EAAE,OAAOA,EAAEA,EAAE,IAAI,CAAC,EAAEA,EAAEA,EAAE,IAAIL,CAAC,EAAE,EAAE,EAAE,IAAI8nB,GAAGznB,EAAE,EAAE,CAAC,EAAE,CAACA,EAAE,IAAID,CAAC,EAAE,EAAE,IAAI,CAAC,CAAC,CAAC,CAAC,SAAS6nB,GAAGnoB,EAAE,EAAEE,EAAEI,EAAE,CAAC,OAAO4nB,GAAGJ,GAAG9nB,EAAE,CAAC,EAAE8nB,GAAG9nB,EAAE,EAAE,CAAC,EAAE8nB,GAAG9nB,EAAE,EAAE,EAAE,EAAE8nB,GAAG9nB,EAAE,EAAE,EAAE,EAAEE,EAAEI,CAAC,CAAC,CAAC,SAAS8nB,GAAGpoB,EAAE,EAAEA,EAAE,OAAO,CAAC,GAAG,GAAG,EAAE,CAAC,IAAIE,EAAEynB,GAAG,IAAI,EAAE,CAAC,EAAErnB,EAAEwnB,GAAG9nB,EAAE,CAAC,EAAE,IAAI2nB,EAAE,EAAEpnB,EAAEunB,GAAG9nB,EAAE,EAAE,CAAC,EAAE,EAAEgoB,GAAGznB,EAAE,EAAE,EAAE,IAAIL,CAAC,EAAE,IAAII,CAAC,EAAE,EAAE0nB,GAAG1nB,EAAE,EAAE,EAAE,IAAIC,CAAC,EAAE,IAAIL,CAAC,EAAE,OAAO+nB,GAAG,EAAE,EAAE/nB,CAAC,CAAC,CAAC,GAAG,GAAG,EAAE,CAAC,IAAIA,EAAEynB,GAAG,IAAI,EAAE,CAAC,EAAErnB,EAAEynB,GAAG/nB,EAAE,CAAC,EAAE,OAAOioB,GAAG3nB,EAAE,IAAI,CAAC,EAAE,IAAI,CAAC,EAAEynB,GAAG/nB,EAAE,EAAE,CAAC,EAAEE,CAAC,CAAC,CAAC,GAAG,EAAE,EAAE,CAAC,IAAIA,EAAEF,EAAE,GAAGM,EAAEN,EAAE,GAAG,GAAGO,EAAEP,EAAE,EAAE,GAAG,EAAEE,GAAGI,GAAG,GAAG,EAAE,GAAGC,GAAG,GAAG,OAAOqnB,GAAGD,GAAG,IAAI,CAAC,EAAE,IAAIF,GAAG,IAAI,CAAC,CAAC,CAAC,EAAE,IAAIE,EAAE,CAAC,CAAC,OAAOA,EAAE,CAAC,SAASU,GAAGroB,EAAE,EAAEA,EAAE,OAAO,CAAC,IAAIE,EAAEynB,GAAG,IAAI,EAAE,CAAC,EAAErnB,EAAEwnB,GAAG9nB,EAAE,CAAC,EAAE,IAAI0nB,EAAE,EAAEnnB,EAAEunB,GAAG9nB,EAAE,CAAC,EAAE,EAAE8nB,GAAG9nB,EAAE,EAAE,CAAC,EAAE,IAAIE,CAAC,EAAE,EAAE4nB,GAAG9nB,EAAE,EAAE,EAAE,EAAE,IAAI2nB,EAAE,EAAE,OAAOM,GAAGD,GAAG1nB,EAAE,IAAIC,CAAC,EAAE,EAAE,EAAE,IAAIynB,GAAG,EAAE,EAAE,CAAC,EAAE,IAAI,CAAC,EAAE1nB,EAAE,IAAI0nB,GAAGznB,EAAE,IAAIonB,EAAE,EAAE,EAAE,CAAC,EAAE,IAAI,CAAC,EAAEznB,CAAC,CAAC,CAAC,SAASooB,GAAGtoB,EAAE,EAAEA,EAAE,OAAO,CAAC,IAAIE,EAAEynB,GAAG,IAAI,EAAE,CAAC,EAAErnB,EAAEwnB,GAAG9nB,EAAE,CAAC,EAAE,IAAI2nB,EAAE,EAAEpnB,EAAEunB,GAAG9nB,EAAE,CAAC,EAAE,EAAE8nB,GAAG9nB,EAAE,EAAE,CAAC,EAAE,IAAIE,CAAC,EAAE,EAAE4nB,GAAG9nB,EAAE,EAAE,EAAE,EAAE,IAAI2nB,EAAE,EAAE1lB,EAAE+lB,GAAG1nB,EAAE,IAAIC,CAAC,EAAE,EAAE,EAAE,IAAIynB,GAAG,EAAE,EAAE,CAAC,EAAE,IAAI,CAAC,EAAE9lB,EAAE+lB,GAAGhmB,EAAE3B,EAAE,IAAI0nB,GAAGznB,EAAE,IAAIonB,EAAE,EAAE,EAAE,CAAC,EAAE,IAAI,CAAC,EAAEznB,CAAC,EAAEiC,EAAE2lB,GAAG9nB,EAAE,EAAE,EAAE,IAAIE,CAAC,EAAE0C,EAAEklB,GAAG9nB,EAAE,EAAE,EAAE6C,EAAEZ,EAAE,IAAI6lB,GAAG9nB,EAAE,EAAE,EAAE,CAAC,EAAE,IAAIE,CAAC,EAAE4C,EAAEZ,EAAE,IAAI4lB,GAAG9nB,EAAE,EAAE,EAAE,CAAC,EAAE,IAAIE,CAAC,EAAE,OAAO+nB,GAAGD,GAAG7lB,EAAE,IAAIS,CAAC,EAAE,EAAE,EAAE,IAAIolB,GAAGnlB,EAAE,EAAE,CAAC,EAAE,IAAIC,CAAC,EAAEX,EAAE,IAAI6lB,GAAGplB,EAAE,IAAItC,CAAC,EAAE,EAAE,CAAC,EAAE,IAAIuC,CAAC,EAAE3C,CAAC,CAAC,CAAC,SAASinB,GAAGnnB,EAAE,EAAEA,EAAE,OAAO,CAAC,IAAIE,EAAEsnB,GAAG,WAAW,GAAG,EAAE,EAAE,GAAG,GAAG,GAAG,OAAO,GAAG,GAAGY,GAAGpoB,EAAE,CAAC,EAAEqoB,GAAGroB,EAAE,CAAC,EAAE,GAAG,GAAG,GAAG,OAAOsoB,GAAGtoB,EAAE,CAAC,EAAE,IAAIM,EAAEJ,EAAEK,EAAEL,EAAE,IAAIwnB,EAAE,EAAE,IAAI,GAAG,EAAE,EAAEE,GAAGrnB,EAAE,IAAIonB,EAAE,EAAE,IAAI,GAAG,CAAC,EAAE,IAAIA,EAAE,EAAE,EAAE,CAACH,GAAG,MAAMA,GAAG,KAAK,EAAEvlB,EAAE,CAACulB,GAAG,MAAMA,GAAG,KAAK,EAAElnB,EAAEA,EAAE,IAAIqnB,EAAE,EAAE,IAAIG,GAAG9nB,EAAE,CAAC,CAAC,EAAE,IAAIkC,EAAE,EAAEC,GAAG,EAAE,GAAG,GAAG,GAAGS,EAAET,GAAG,EAAE,EAAE,IAAI,GAAG,GAAG7B,EAAE0nB,GAAG1nB,EAAE,IAAIC,CAAC,EAAE,IAAI,EAAE,EAAE,EAAE,IAAIunB,GAAG9nB,EAAEkC,EAAE,CAAC,CAAC,EAAE,EAAE,EAAE,IAAIwlB,EAAE,EAAEnnB,EAAEynB,GAAGznB,EAAE,IAAI,EAAE,EAAE,EAAE,IAAIunB,GAAG9nB,EAAEkC,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE,IAAIwlB,EAAE,EAAEpnB,EAAEA,EAAE,IAAI2B,EAAE,EAAE,EAAE1B,EAAEA,EAAE,IAAI,EAAE,EAAE,EAAE,IAAIunB,GAAG9nB,EAAEkC,EAAE,EAAE,CAAC,EAAE,EAAE8lB,GAAG,EAAE,IAAI/lB,EAAE,EAAE,EAAE,EAAE,EAAE,IAAIylB,EAAE,EAAE,EAAES,GAAGnoB,EAAEkC,EAAE,EAAE,GAAG,IAAIwlB,EAAE,EAAEpnB,EAAE,IAAI2B,EAAE,EAAE,CAAC,EAAEA,EAAEkmB,GAAGnoB,EAAEkC,EAAE,GAAG,EAAE,IAAID,EAAE,EAAE,EAAE1B,EAAE,IAAIunB,GAAG9nB,EAAEkC,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE5B,CAAC,EAAE,CAACA,EAAE,CAAC,EAAE4B,GAAG,SAASA,IAAIC,GAAG,IAAIU,EAAE6kB,GAAG,IAAI,EAAE,IAAI,GAAG,EAAE,IAAI,CAAC,CAAC,EAAE,OAAOxlB,EAAEU,EAAEX,EAAE,GAAGA,EAAE,GAAG,IAAI,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,GAAG,IAAIA,EAAE,EAAE,EAAEA,EAAE,GAAGA,EAAE,GAAG,IAAI,EAAE,EAAE,EAAE3B,EAAE0nB,GAAG1nB,EAAE,IAAIC,CAAC,EAAE,IAAI,EAAE,EAAE,EAAE,IAAIunB,GAAG9nB,EAAEkC,EAAE,CAAC,CAAC,EAAE,EAAE,EAAE,IAAIW,CAAC,EAAEtC,EAAEynB,GAAGznB,EAAE,IAAI,EAAE,EAAE,EAAE,IAAIunB,GAAG9nB,EAAEkC,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE,IAAIW,CAAC,EAAEvC,EAAEA,EAAE,IAAI2B,EAAE,GAAG,IAAI,CAAC,CAAC,EAAE1B,EAAEA,EAAE,IAAI,EAAE,GAAG,IAAI,CAAC,EAAE,IAAIunB,GAAG9nB,EAAEkC,EAAE,EAAE,CAAC,CAAC,EAAE,EAAE8lB,GAAG,EAAE,IAAI/lB,EAAE,EAAE,EAAE,EAAE,EAAE,IAAIY,CAAC,EAAE,EAAEslB,GAAGnoB,EAAEkC,EAAE,EAAE,GAAG,IAAIW,CAAC,EAAEvC,EAAE,IAAI2B,EAAE,EAAE,CAAC,EAAEA,EAAEkmB,GAAGnoB,EAAEkC,EAAE,GAAG,EAAE,IAAID,EAAE,EAAE,EAAE1B,EAAE,IAAIunB,GAAG9nB,EAAEkC,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE5B,CAAC,EAAE,CAACA,EAAE,CAAC,EAAE2nB,GAAGA,GAAG,EAAE,GAAGhmB,EAAE,GAAGY,CAAC,EAAE,IAAI+kB,GAAGrnB,CAAC,EAAE,IAAIknB,EAAE,CAAC,EAAE,IAAI,CAAC,EAAEQ,GAAG,EAAE,GAAGhmB,EAAE,GAAGY,CAAC,EAAE,IAAIvC,CAAC,EAAEuC,CAAC,CAAC,CAAC,SAASkkB,GAAG/mB,EAAE,EAAE,CAAC,OAAO,IAAI,SAASinB,GAAGjnB,CAAC,EAAEsnB,GAAG,CAACtnB,CAAC,EAAE,CAAC,CAAC,CAAC,SAASuoB,GAAGvoB,EAAE,EAAE,CAAC,OAAOA,aAAa,cAAc,IAAI,WAAWA,aAAa,YAAY,IAAI,SAASA,aAAa,YAAY,IAAI,MAAM,CAAC,SAASsnB,GAAGtnB,EAAE,EAAE,CAAC,GAAG,IAAI,SAAS,MAAM,IAAI,MAAM,2CAA2C,EAAE,GAAG,MAAM,QAAQA,CAAC,IAAIA,EAAEkY,GAAGlY,CAAC,GAAGya,EAAE,EAAE,QAAQ,OAAO,GAAGxB,GAAGjZ,EAAE,CAAC,EAAEuoB,GAAGvoB,EAAE,CAAC,EAAE,OAAOA,EAAE,GAAG,GAAG,MAAM,IAAI,WAAW,IAAI,YAAY,OAAO,IAAI,aAAaA,CAAC,EAAE,GAAG,IAAI,QAAQ,OAAO,IAAI,WAAWA,CAAC,EAAE,GAAG,IAAI,OAAO,CAAC,IAAIE,EAAE,IAAI,WAAWF,EAAE,MAAM,EAAE,QAAQM,EAAE,EAAEA,EAAEJ,EAAE,OAAO,EAAEI,EAAE,KAAK,MAAMN,EAAEM,EAAE,IAAI,IAAIJ,EAAEI,GAAG,GAAG,OAAOJ,CAAC,KAAM,OAAM,IAAI,MAAM,qBAAqB,GAAG,CAAC,CAAC,SAASmnB,IAAI,CAAC,OAAO5M,EAAE,EAAE,SAAS,IAAI,CAAC,CAAC,SAASyM,GAAGlnB,EAAE,EAAE,CAAC,OAAOya,EAAE,EAAE,SAAS,MAAMza,EAAE,CAAC,CAAC,CAAC,SAASinB,GAAGjnB,EAAE,EAAE,QAAQ,CAAC,OAAO,EAAE,GAAG,QAAQya,EAAE,EAAE,SAAS,OAAOza,EAAE,CAAC,CAAC,CAAC,SAASgnB,GAAGhnB,EAAE,EAAE,QAAQ,CAAC,OAAO,EAAE,GAAG,QAAQya,EAAE,EAAE,SAAS,OAAOza,EAAE,CAAC,CAAC,CAAC,IAAIwoB,GAAG,KAAK,CAAC,YAAY1nB,EAAEZ,EAAE,CAAC,KAAK,aAAaY,EAAE,KAAK,OAAOZ,EAAEA,GAAG,OAAO,KAAK,OAAO,IAAIuoB,GAAG,CAAC,cAAc3nB,EAAEZ,EAAE,EAAE,CAAC,IAAIK,EAAEwB,EAAE,IAAI,CAACxB,EAAE,EAAE,CAAC,EAAEyB,EAAEC,EAAEolB,GAAG,EAAE,GAAG,KAAK,aAAa,eAAe,EAAErlB,EAAE,KAAK,aAAa,KAAKD,CAAC,MAAM,CAACA,EAAE,EAAE,QAAQI,KAAK5B,EAAE4B,EAAE,SAAS,EAAEH,EAAE,QAAQ,QAAQ,CAAC,SAASqlB,GAAG,EAAEplB,CAAC,CAAC,CAAC,CAAC,GAAGwY,EAAE,EAAE,QAAQ,8BAA8B,EAAE,QAAQtY,EAAE,EAAEA,EAAE5B,EAAE,OAAO4B,IAAI,CAAC,IAAIS,EAAErC,EAAE4B,GAAGS,EAAE,KAAK,EAAE,KAAKC,GAAG,CAAC6lB,GAAG7lB,EAAED,EAAE,MAAM9B,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,WAAWA,EAAE,QAAQP,EAAE,OAAOL,EAAE,OAAO8B,EAAE,KAAKG,GAAGA,EAAE,QAAQ,EAAE,UAAUH,EAAE,KAAKG,GAAGA,EAAE,qBAAqB,KAAKA,EAAE,oBAAoB,EAAE,EAAE,CAAC,CAAC,CAAC,iBAAiBrB,EAAE,CAAC,GAAG,CAAC,WAAWZ,EAAE,QAAQ,EAAE,OAAOK,EAAE,OAAOwB,EAAE,UAAUC,CAAC,EAAElB,EAAE,EAAE,QAAQmB,GAAG,CAAC,QAAQ,IAAI,CAACA,EAAE,KAAK,EAAE1B,EAAEyB,CAAC,CAAC,EAAE,KAAKE,GAAG,CAAC,KAAK,OAAO,iBAAiBhC,EAAE+B,EAAEC,EAAE,GAAGA,EAAE,GAAGH,EAAEG,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAASwmB,GAAG1oB,EAAE,EAAEE,EAAE,CAAC,GAAG,IAAI,UAAU,MAAM,GAAG,QAAQI,EAAE,EAAEA,EAAEN,EAAE,OAAOM,IAAI,CAAC,IAAIC,EAAEP,EAAEM,GAAG,GAAG,MAAMC,CAAC,GAAG,CAAC,SAASA,CAAC,EAAE,OAAO,QAAQ,KAAK,SAASA,uBAAuBL,IAAI,EAAE,EAAE,CAAC,MAAM,EAAE,CAAC,IAAIuoB,GAAG,KAAK,CAAC,iBAAiB3nB,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAE,CAAC,IAAIC,EAAE,OAAO1B,GAAG,SAASmY,GAAG,GAAGnY,MAAM,CAAC,EAAEA,EAAE,MAAM2B,EAAEwW,GAAG5X,EAAE,EAAE,EAAE,EAAEZ,EAAE,KAAK0C,EAAE1C,EAAE,KAAK,EAAEwY,GAAGxY,EAAE,MAAM,SAAS,EAAE,EAAE,EAAE4C,EAAE,GAAG,QAAQC,KAAKhB,EAAE,CAAC,IAAIiB,EAAEjB,EAAEgB,GAAG,GAAGC,GAAG,KAAK,CAAC,IAAIkB,EAAElB,EAAE,OAAO9C,EAAE,MAAMiE,EAAED,EAAE,OAAOpB,GAAG,GAAGC,MAAMoB,MAAMA,EAAE,EAAED,EAAE,KAAK,CAAC,CAAC,QAAQ,IAAI,KAAKhC,OAAOD,OAAO,MAAM,OAAOW,OAAOE,OAAOd,IAAI,mBAAmB,YAAY,aAAa,gBAAgB,eAAe,kBAAkB,CAAC,CAAC,EAAE,SAAS2mB,GAAG3oB,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,QAAQ2B,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI5B,EAAE,EAAE4B,GAAG,IAAI,GAAG,QAAQA,EAAE,EAAEA,EAAElC,EAAE,OAAOkC,IAAI,CAAC,IAAIC,EAAEnC,EAAEkC,GAAGU,EAAET,EAAE,OAAO,QAAQU,KAAKD,EAAE,CAAC,IAAIE,EAAEF,EAAEC,GAAGE,EAAE,GAAG,QAAQC,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,GAAG1C,EAAEwC,EAAE,IAAI,CAACX,EAAE,QAAQ,QAAQ+B,GAAG5D,EAAE4D,EAAE,IAAI,EAAE,EAAEnB,EAAE,GAAGxC,EAAE4B,EAAE,IAAI,GAAG,KAAK,CAAC,GAAGY,EAAE,KAAK,CAAC,CAAC,IAAI,EAAE,CAAC,EAAE,EAAE7C,EAAE,IAAI,GAAG,IAAI,EAAE,CAAC,EAAE,QAAQgC,EAAElC,EAAE,OAAO,EAAEkC,GAAG,EAAEA,IAAI,CAAC,IAAIC,EAAEnC,EAAEkC,GAAGU,EAAET,EAAE,OAAO,QAAQU,EAAE,EAAEA,EAAEV,EAAE,QAAQ,OAAOU,IAAI,GAAG,EAAEV,EAAE,QAAQU,GAAG,IAAI,CAAC,QAAQC,KAAKF,EAAE,EAAEA,EAAEE,GAAG,IAAI,GAAG,EAAEX,EAAE,IAAI,GAAG,KAAK,CAAC,CAAC,IAAIF,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAElC,EAAE,OAAOkC,IAAI,CAAC,IAAIC,EAAEnC,EAAEkC,GAAG,GAAG3B,EAAE4B,EAAE,KAAK,EAAEA,EAAE,IAAI,CAAC,IAAIS,EAAE,CAAC,EAAE,QAAQE,KAAKX,EAAE,OAAO,CAAC,IAAIY,EAAEZ,EAAE,OAAOW,GAAGxC,EAAEyC,EAAE,MAAMH,EAAEE,GAAGC,EAAE,CAAC,IAAIF,EAAE,OAAO,OAAO,CAAC,EAAEV,CAAC,EAAEU,EAAE,OAAOD,EAAEC,EAAE,QAAQV,EAAE,QAAQF,EAAE,KAAKY,CAAC,CAAC,CAAC,CAAC,OAAOZ,CAAC,CAAC,SAAS2mB,GAAG5oB,EAAE,EAAEE,EAAEI,EAAE,CAAC,QAAQC,EAAE,EAAE,OAAO,EAAEA,GAAG,EAAEA,IAAI,CAAC,IAAI,EAAE,EAAEA,GAAG,EAAE,CAAC,EAAE,GAAG,EAAE,QAAQ,QAAQ2B,GAAG,CAAC,IAAIC,EAAEnC,EAAEkC,EAAE,IAAIC,GAAG,KAAK,EAAE,KAAKA,CAAC,EAAE,EAAE,KAAK,IAAI,CAAC,CAAC,EAAE,EAAE,UAAU,KAAK,MAAM,IAAI,MAAM,4DAA4D,EAAE,aAAa,EAAE,IAAIF,EAAE,EAAE,SAAS,CAAC,EAAE,QAAQC,KAAK,EAAE,OAAO,CAAC,GAAG,EAAEA,KAAKD,GAAG,MAAM,IAAI,MAAM,iCAAiCC,iCAAiC,OAAO,KAAKD,CAAC,IAAI,EAAE,IAAIE,EAAEjC,EAAE,IAAI+B,EAAEC,GAAG,CAAC,EAAE,GAAGC,EAAE,QAAQ,UAAU,MAAM,IAAI,MAAM,4BAA4B,EAAE,qCAAqCD,yCAAyCC,EAAE,QAAQ,EAAE,IAAIS,EAAE,EAAE,OAAOV,GAAG,GAAG,CAAC8V,GAAG7V,EAAE,MAAMS,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,4BAA4B,EAAE,sCAAsCV,iBAAiBC,EAAE,wDAAwDS,EAAE,QAAQ,EAAE,GAAG5C,EAAE4C,EAAE,KAAK,KAAK5C,EAAE4C,EAAE,IAAIT,MAAM,CAAC,IAAIU,EAAE7C,EAAE4C,EAAE,IAAI5C,EAAE4C,EAAE,IAAItC,EAAEuC,EAAEV,CAAC,EAAEU,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIgmB,GAAG,GAAGC,GAAG,EAAEC,GAAG,EAAE,SAASC,GAAGhpB,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEqZ,GAAG,CAAC,EAAE,EAAEqP,GAAGjpB,EAAE,EAAEE,EAAEK,CAAC,EAAE,EAAE,EAAE,OAAO0B,EAAEinB,GAAGlpB,EAAE,EAAEE,EAAEK,EAAE,CAAC,EAAE2B,EAAE,CAAC,QAAQ,EAAE,OAAO5B,IAAI4B,EAAE,KAAK,YAAYhC,GAAG,EAAEgC,EAAE,KAAK,WAAW,GAAG,EAAEA,EAAE,KAAK,aAAa,IAAI,EAAEA,EAAE,KAAK,WAAW,GAAGA,EAAE,KAAKD,EAAE,IAAIE,GAAG,OAAOA,CAAC,EAAE,KAAK;AAAA,CACr50C,CAAC,EAAED,EAAE,KAAK;AAAA,CACV,CAAC,CAAC,SAAS+mB,GAAGjpB,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAE6X,GAAG,CAAC,EAAE,EAAE9X,EAAEA,EAAE,OAAO,GAAG,EAAE,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC,EAAE2B,EAAE,EAAE,OAAOC,EAAEhC,IAAI,YAAYipB,GAAGnpB,CAAC,EAAEA,EAAE,GAAGiC,EAAE,EAAE,QAAQE,EAAE,EAAEA,EAAE5B,EAAE,EAAE4B,IAAI,CAAC,IAAIS,EAAET,EAAE,EAAE,QAAQU,EAAE,EAAEA,EAAE,EAAEA,IAAI,EAAEA,GAAG,KAAK,IAAI,EAAEA,GAAGumB,GAAGlnB,EAAEU,EAAEC,GAAG,EAAE3C,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,CAAC,CAAC,SAASkpB,GAAGppB,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,OAAO,MAAM,QAAQN,CAAC,EAAEM,EAAE,GAAG,WAAWN,EAAE,GAAG,QAAQ+oB,EAAE,CAAC,OAAO,WAAW/oB,EAAE,GAAG,QAAQ+oB,EAAE,CAAC,KAAKzP,GAAGtZ,CAAC,EAAEM,EAAE,IAAIN,KAAKE,IAAI,OAAOI,EAAE+oB,GAAGrpB,CAAC,EAAEM,EAAE,WAAWN,EAAE,QAAQ+oB,EAAE,CAAC,EAAE,SAAS,EAAErQ,GAAGpY,EAAE,CAAC,CAAC,CAAC,SAAS+oB,GAAGrpB,EAAE,CAAC,OAAOA,IAAI,EAAE,QAAQ,MAAM,CAAC,SAASkpB,GAAGlpB,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,GAAG,CAAC,IAAI,EAAEL,IAAI,YAAY,EAAE,EAAE+B,EAAE,EAAE,GAAGC,EAAE,EAAE,OAAO,GAAGA,IAAI,EAAE,CAAC,GAAGhC,IAAI,YAAY,CAAC,IAAIgE,EAAEilB,GAAGnpB,CAAC,EAAE,MAAM,CAACopB,GAAGllB,EAAE,GAAG,EAAEhE,CAAC,CAAC,CAAC,CAAC,OAAOA,IAAI,OAAO,CAACmpB,GAAGrpB,EAAE,EAAE,CAAC,EAAE,CAACA,EAAE,GAAG,SAAS,CAAC,CAAC,CAAC,GAAGkC,IAAI,EAAE,CAAC,GAAGD,EAAE4mB,GAAG,CAAC,IAAI,EAAEC,GAAG,EAAEvhB,EAAE,MAAM,KAAKvH,EAAE,MAAM,EAAE,CAAC,CAAC,EAAE+E,EAAE,MAAM,KAAK/E,EAAE,OAAOiC,EAAE6mB,IAAI,EAAE7mB,EAAE,CAAC,CAAC,EAAE,OAAO/B,IAAI,cAAcqH,EAAE4hB,GAAG5hB,CAAC,EAAExC,EAAEokB,GAAGpkB,CAAC,GAAG,CAAC,IAAIwC,EAAE,IAAI,CAAC5C,EAAEC,IAAIwkB,GAAGzkB,EAAEpE,EAAEqE,GAAG1E,CAAC,CAAC,EAAE,KAAK,IAAI,EAAE,UAAU6E,EAAE,IAAI,CAACJ,EAAEC,IAAIwkB,GAAGzkB,EAAEpE,EAAE0B,EAAE6mB,GAAGlkB,GAAG1E,CAAC,CAAC,EAAE,KAAK,IAAI,EAAE,GAAG,CAAC,CAAC,IAAIgE,EAAEhE,IAAI,YAAYipB,GAAGnpB,CAAC,EAAE,MAAM,KAAKA,CAAC,EAAE,MAAM,CAAC,IAAIkE,EAAE,IAAI,CAAC,EAAEqD,IAAI6hB,GAAG,EAAE7oB,EAAEgH,GAAGrH,CAAC,CAAC,EAAE,KAAK,IAAI,EAAE,GAAG,CAAC,CAAC,IAAIiC,EAAE,EAAE,MAAM,CAAC,EAAES,EAAEtC,EAAE,MAAM,CAAC,EAAEuC,EAAEvC,EAAE,GAAG,EAAEwC,EAAE,CAAC,EAAE,GAAGb,EAAE4mB,GAAG,CAAC,QAAQ3kB,EAAE,EAAEA,EAAE4kB,GAAG5kB,IAAI,CAAC,IAAI,EAAEA,EAAErB,EAAE0E,EAAE,EAAE1E,EAAEC,EAAE,KAAK,GAAGomB,GAAGlpB,EAAE,MAAM,EAAEuH,CAAC,EAAEpF,EAAEjC,EAAE0C,EAAErC,EAAE,EAAE,CAAC,CAAC,CAACuC,EAAE,KAAK,KAAK,EAAE,QAAQoB,EAAEjC,EAAE6mB,GAAG5kB,EAAEjC,EAAEiC,IAAI,CAAC,IAAI,EAAEA,EAAErB,EAAE0E,EAAE,EAAE1E,EAAEC,EAAE,KAAK,GAAGomB,GAAGlpB,EAAE,MAAM,EAAEuH,CAAC,EAAEpF,EAAEjC,EAAE0C,EAAErC,EAAE2D,IAAIjC,EAAE,CAAC,CAAC,CAAC,CAAC,KAAM,SAAQiC,EAAE,EAAEA,EAAEjC,EAAEiC,IAAI,CAAC,IAAI,EAAEA,EAAErB,EAAE0E,EAAE,EAAE1E,EAAEC,EAAE,KAAK,GAAGomB,GAAGlpB,EAAE,MAAM,EAAEuH,CAAC,EAAEpF,EAAEjC,EAAE0C,EAAErC,EAAE2D,IAAIjC,EAAE,CAAC,CAAC,CAAC,CAAC,IAAIc,EAAEb,IAAI,EAAE,IAAI,GAAGY,EAAE,GAAG,IAAIA,EAAE,GAAGC,EAAE,QAAQmB,EAAE,EAAEA,EAAEpB,EAAE,OAAO,EAAEoB,IAAIpB,EAAEoB,GAAG,IAAIpB,EAAEoB,GAAGnB,EAAE,IAAIC,EAAE;AAAA,EACt2C,QAAQkB,EAAE,EAAEA,EAAEhC,EAAEgC,IAAIlB,GAAG;AAAA,EACvB,OAAOF,EAAEA,EAAE,OAAO,GAAG,IAAIA,EAAEA,EAAE,OAAO,GAAG,KAAK,EAAE,GAAGE,GAAGF,CAAC,CAAC,SAASqmB,GAAGnpB,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,GAAG,EAAE,EAAE,KAAK,CAACF,EAAEE,GAAGF,EAAEE,EAAE,EAAE,CAAC,EAAE,OAAO,CAAC,CAAC,IAAIopB,GAAG,KAAK,CAAC,YAAYxoB,EAAEZ,EAAE,EAAE,CAAC,GAAG,KAAK,MAAMA,EAAE,KAAK,MAAMY,EAAE,MAAM,EAAE,KAAK,KAAKsX,GAAGtX,CAAC,EAAE,GAAG,KAAK,CAAC,IAAIP,EAAE,EAAE,OAAOuX,EAAEvX,IAAI,KAAK,KAAK,IAAI,qBAAqBA,qDAAqD,KAAK,QAAQ,CAAC,CAAC,GAAGL,IAAI,YAAY,MAAM,IAAI,MAAM,4JAA4J,EAAE,KAAK,OAAO,GAAG8Y,GAAG9Y,EAAE,KAAK,IAAI,EAAE,KAAK,QAAQ0Z,GAAG9Y,CAAC,CAAC,CAAC,IAAIA,KAAKZ,EAAE,CAACA,EAAE,SAAS,IAAIA,EAAE,CAAC,CAAC,GAAG4X,EAAE5X,EAAE,SAAS,KAAK,KAAK,IAAI,uCAAuCA,EAAE,gCAAgC,KAAK,OAAO,EAAE,IAAI,EAAE,KAAK,WAAWA,CAAC,EAAE,KAAK,OAAO,GAAGY,CAAC,CAAC,OAAOA,EAAE,CAACA,EAAE,SAAS,IAAIA,EAAE,CAAC,CAAC,GAAG,IAAIZ,EAAE,EAAE,QAAQK,KAAKO,EAAE,CAAC,GAAGP,EAAE,GAAGA,GAAG,KAAK,MAAML,GAAG,CAAC,IAAI6B,EAAE,qCAAqCjB,qBAAqB,KAAK,QAAQ,MAAM,IAAI,MAAMiB,CAAC,CAAC,CAAC7B,GAAG,CAAC,IAAI,EAAEY,EAAEA,EAAE,OAAO,GAAG,QAAQP,EAAE,EAAEA,EAAEO,EAAE,OAAO,EAAE,EAAEP,EAAE,GAAG,KAAK,QAAQA,GAAGO,EAAEP,GAAG,OAAO,KAAK,OAAO,EAAE,CAAC,WAAWO,EAAE,CAAC,GAAG,KAAK,OAAO,EAAE,MAAO,GAAE,GAAG,KAAK,OAAO,EAAE,OAAOA,EAAE,GAAG,IAAIZ,EAAEY,EAAEA,EAAE,OAAO,GAAG,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAE,EAAEZ,GAAG,KAAK,QAAQ,GAAGY,EAAE,GAAG,OAAOZ,CAAC,CAAC,WAAWY,EAAE,CAAC,GAAG,KAAK,OAAO,EAAE,MAAM,CAAC,EAAE,GAAG,KAAK,OAAO,EAAE,MAAM,CAACA,CAAC,EAAE,IAAIZ,EAAE,IAAI,MAAM,KAAK,MAAM,MAAM,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAE,EAAEA,EAAE,GAAG,KAAK,MAAMY,EAAE,KAAK,QAAQ,EAAE,EAAEA,GAAGZ,EAAE,GAAG,KAAK,QAAQ,GAAG,OAAOA,EAAEA,EAAE,OAAO,GAAGY,EAAEZ,CAAC,CAAC,IAAI,MAAM,CAAC,OAAO,KAAK,MAAM,MAAM,CAAC,UAAU,CAAC,OAAOqpB,GAAG,EAAE,WAAW,KAAK,OAAO,KAAK,MAAM,KAAK,KAAK,CAAC,CAAC,EAAEA,GAAG,KAAKC,GAAG,KAAKC,GAAG,KAAK,SAASC,GAAG1pB,EAAE,CAACupB,GAAGvpB,CAAC,CAAC,SAAS2pB,GAAG3pB,EAAE,CAACwpB,GAAGxpB,CAAC,CAAC,SAAS4pB,GAAG5pB,EAAE,CAACypB,GAAGzpB,CAAC,CAAC,IAAI6pB,GAAG,KAAK,CAAC,YAAY/oB,EAAEZ,EAAE,EAAEK,EAAE,CAAC,KAAK,KAAK,GAAG,KAAK,mBAAmB,GAAG,KAAK,MAAMO,EAAE,MAAM,EAAE,KAAK,MAAMZ,GAAG,UAAU,KAAK,KAAKkY,GAAGtX,CAAC,EAAE,KAAK,QAAQ8Y,GAAG9Y,CAAC,EAAE,KAAK,OAAO,EAAE,KAAK,GAAGP,EAAE,KAAK,SAAS,KAAK,KAAK,EAAE,KAAK,KAAK,SAAS,EAAE,QAAQ,CAAC,IAAI,MAAM,CAAC,OAAO,KAAK,MAAM,MAAM,CAAC,MAAM,QAAQ,CAAC,IAAIO,EAAE,MAAM,KAAK,KAAK,EAAE,OAAO0oB,GAAG,OAAO,KAAK,MAAM,KAAK,MAAM1oB,CAAC,CAAC,CAAC,YAAY,CAAC,OAAO0oB,GAAG,OAAO,KAAK,MAAM,KAAK,MAAM,KAAK,SAAS,CAAC,CAAC,CAAC,MAAM,OAAO,CAAC,IAAI1oB,EAAE,MAAM,KAAK,KAAK,EAAE,OAAOgZ,GAAG,KAAK,MAAMhZ,EAAE,KAAK,QAAQ,WAAW,CAAC,CAAC,WAAW,CAAC,OAAOgZ,GAAG,KAAK,MAAM,KAAK,SAAS,EAAE,KAAK,QAAQ,WAAW,CAAC,CAAC,MAAM,MAAM,CAAC,KAAK,gBAAgB,EAAE,IAAIhZ,EAAEyoB,GAAG,EAAE,KAAK,KAAK,MAAM,EAAE,GAAG,KAAK,QAAQ,SAAS,CAAC,IAAIrpB,EAAE,MAAMY,EAAE,GAAG,CAAC,OAAOZ,EAAE,IAAI,GAAG8mB,GAAG,CAAC,CAAC,CAAC,OAAO,EAAN,CAAS,MAAM,IAAI,MAAM,+FAA+F,CAAC,CAAC,CAAC,OAAOlmB,CAAC,CAAC,UAAUA,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEyoB,GAAG,EAAE,UAAU,KAAK,OAAOzoB,CAAC,CAAC,CAAC,UAAU,CAAC,KAAK,gBAAgB,EAAE,IAAIA,EAAEyoB,GAAG,EAAE,SAAS,KAAK,MAAM,EAAE,GAAG,KAAK,QAAQ,SAAS,GAAG,CAAC,OAAOzoB,EAAE,IAAIZ,GAAG8mB,GAAG9mB,CAAC,CAAC,CAAC,OAAOA,EAAN,CAAS,MAAM,IAAI,MAAM,+FAA+F,CAAC,CAAC,OAAOY,CAAC,CAAC,MAAM,OAAO,CAAC,KAAK,gBAAgB,EAAE,IAAIA,EAAE,MAAMyoB,GAAG,EAAE,KAAK,KAAK,MAAM,EAAE,OAAO,KAAK,QAAQ,SAASzoB,EAAE,IAAI,WAAWA,EAAE,MAAM,CAAC,CAAC,SAAS,CAAC,KAAK,aAAayoB,GAAG,EAAE,cAAc,IAAI,EAAE,KAAK,mBAAmB,GAAG,CAAC,IAAI,YAAY,CAAC,OAAO,KAAK,kBAAkB,CAAC,iBAAiB,CAAC,GAAG,KAAK,WAAW,MAAM,IAAI,MAAM,qBAAqB,CAAC,CAAC,MAAMzoB,EAAE,GAAG,CAAC,OAAO0oB,GAAG,MAAM,KAAK1oB,CAAC,CAAC,CAAC,OAAO,CAAC,OAAO,KAAK,gBAAgB,EAAE0oB,GAAG,MAAM,IAAI,CAAC,CAAC,SAAS1oB,EAAE,GAAG,CAAC,IAAIZ,EAAE,KAAK,SAAS,EAAE,OAAO8oB,GAAG9oB,EAAE,KAAK,MAAM,KAAK,MAAMY,CAAC,CAAC,CAAC,KAAKA,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE0oB,GAAG,KAAK,KAAK1oB,CAAC,CAAC,CAAC,SAASA,EAAE,GAAGZ,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEqpB,GAAG,EAAE,aAAa,KAAKzoB,EAAEZ,EAAE,CAAC,CAAC,CAAC,EAAE,OAAO,eAAe2pB,GAAG,OAAO,YAAY,CAAC,MAAM7pB,GAAG,CAAC,CAACA,GAAGA,EAAE,MAAM,MAAMA,EAAE,UAAU,MAAMA,EAAE,iBAAiB,IAAI,CAAC,EAAE,SAAS8pB,GAAG,CAAC,OAAO7O,GAAG,SAAS,IAAI4O,EAAE,CAAC,CAACC,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAY/oB,EAAEZ,EAAE,EAAEK,EAAE,CAAC,MAAMO,EAAE,MAAMA,EAAE,MAAMA,EAAE,OAAOP,CAAC,EAAE,KAAK,UAAUL,EAAE,KAAK,KAAK,CAAC,CAAC,OAAOY,EAAE,CAAC,GAAGA,EAAE,QAAQ,KAAK,MAAM,MAAM,IAAI,MAAM,2BAA2BA,EAAE,8BAA8B,KAAK,mBAAmB,EAAE,GAAG,CAACkX,GAAGlX,EAAE,MAAM,KAAK,KAAK,EAAE,MAAM,IAAI,MAAM,2BAA2BA,EAAE,8BAA8B,KAAK,mBAAmB,EAAEyoB,GAAG,EAAE,cAAc,IAAI,EAAE,KAAK,OAAOzoB,EAAE,OAAOyoB,GAAG,EAAE,OAAO,KAAK,IAAI,CAAC,CAAC,SAAS,CAACA,GAAG,EAAE,gBAAgB,IAAI,EAAE,KAAK,mBAAmB,EAAE,CAAC,EAAE,OAAO,eAAeQ,GAAG,OAAO,YAAY,CAAC,MAAM/pB,GAAGA,aAAa6pB,IAAI7pB,EAAE,QAAQ,MAAMA,EAAE,kBAAkB,QAAQ,CAAC,EAAE,IAAIgqB,GAAG,CAAC,EAAE5pB,GAAG4pB,GAAG,CAAC,iBAAiB,IAAIC,GAAG,sBAAsB,IAAIC,GAAG,eAAe,IAAIC,GAAG,eAAe,IAAIC,EAAE,CAAC,EAAE,IAAIC,IAAI,SAASrqB,EAAE,CAACA,EAAE,GAAG,KAAKA,EAAE,GAAG,KAAKA,EAAE,GAAG,KAAKA,EAAE,GAAG,KAAKA,EAAE,GAAG,KAAKA,EAAE,GAAG,KAAKA,EAAE,GAAG,IAAI,GAAGqqB,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAAStqB,EAAE,CAACA,EAAE,QAAQ,UAAUA,EAAE,MAAM,QAAQA,EAAE,KAAK,QAAQA,EAAE,UAAU,WAAW,GAAGsqB,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAASvqB,EAAE,CAACA,EAAE,QAAQ,UAAUA,EAAE,MAAM,QAAQA,EAAE,KAAK,OAAOA,EAAE,UAAU,WAAW,GAAGuqB,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAASxqB,EAAE,CAACA,EAAE,QAAQ,UAAUA,EAAE,MAAM,UAAUA,EAAE,KAAK,UAAUA,EAAE,UAAU,WAAW,GAAGwqB,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAASzqB,EAAE,CAACA,EAAE,QAAQ,YAAYA,EAAE,MAAM,YAAYA,EAAE,KAAK,YAAYA,EAAE,UAAU,WAAW,GAAGyqB,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,CAAC,QAAQF,GAAG,MAAMF,GAAG,KAAKC,GAAG,UAAUE,EAAE,EAAE,SAASE,GAAG3qB,EAAE,EAAE,CAAC,GAAGA,IAAI,UAAU,IAAI,SAAS,CAAC,GAAGA,IAAI,UAAU,IAAI,SAAS,MAAM,SAAS,MAAM,IAAI,MAAM,kBAAkBA,UAAU,GAAG,CAAC,CAAC,OAAO0qB,GAAG1qB,GAAG,EAAE,CAAC,SAAS4qB,GAAG5qB,EAAE,CAAC,OAAO2qB,GAAG3qB,EAAE,OAAO,CAAC,CAAC,SAASoqB,GAAGpqB,EAAE,EAAE,CAAC,GAAGA,EAAE,QAAQ,EAAE,MAAM,MAAM,CAACA,EAAE,CAAC,EAAE,IAAIE,EAAEyqB,GAAG3qB,EAAE,MAAM,EAAE,KAAK,EAAE,MAAM,CAACA,EAAE,KAAKE,CAAC,EAAE,EAAE,KAAKA,CAAC,CAAC,CAAC,CAAC,SAAS+pB,GAAGjqB,EAAE,EAAE,CAAC8X,EAAE9X,EAAE,QAAQ,EAAE,MAAM,IAAI,2BAA2BA,EAAE,qBAAqB,EAAE,yBAAyB,CAAC,CAAC,SAASmqB,GAAGnqB,EAAE,EAAE,CAAC,OAAO,EAAE,KAAKE,GAAGA,EAAE,KAAKF,EAAE,EAAE,CAAC,CAAC,SAASkqB,GAAGlqB,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,OAAO6qB,GAAG7qB,EAAE,EAAE,IAAI,GAAG,EAAE,CAAC,CAAC,SAAS6qB,GAAG7qB,EAAE,EAAEE,EAAE,CAAC,GAAGF,GAAG,KAAK,OAAO,GAAGA,aAAa6pB,GAAG,CAAC,EAAE,KAAK7pB,CAAC,EAAE,MAAM,CAAC,GAAG,CAAC8qB,GAAG9qB,CAAC,EAAE,OAAO,IAAIM,EAAEN,EAAE,QAAQO,KAAKD,EAAE,CAAC,IAAI,EAAEA,EAAEC,GAAGL,EAAE,IAAI,CAAC,IAAIA,EAAE,IAAI,CAAC,EAAE2qB,GAAG,EAAE,EAAE3qB,CAAC,EAAE,CAAC,CAAC,SAAS4qB,GAAG9qB,EAAE,CAAC,OAAO,MAAM,QAAQA,CAAC,GAAG,OAAOA,GAAG,QAAQ,CAAC,SAAS+qB,GAAG/qB,EAAE,CAAC,OAAOA,EAAE,YAAY,IAAI,CAAC,IAAIgrB,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,oBAAoB,CAAC,EAAE,KAAK,eAAe,EAAE,KAAK,SAAS,EAAE,KAAK,WAAW,EAAE,KAAK,iBAAiB,EAAE,KAAK,eAAe,EAAE,KAAK,cAAc,EAAE,KAAK,YAAY,EAAE,KAAK,WAAW,CAAC,EAAE,KAAK,kBAAkB,CAAC,EAAE,KAAK,YAAY,EAAE,KAAK,WAAW,IAAI,QAAQ,KAAK,UAAU,GAAG,KAAK,cAAc,CAAC,SAAS,EAAE,WAAW,EAAE,UAAU,EAAE,QAAQ,CAAC,EAAE,OAAO,KAAK,IAAI,aAAa,CAAC,OAAO,MAAM,KAAK,IAAI,IAAI,KAAK,QAAQ,IAAIlqB,GAAGA,EAAE,IAAI,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS,CAAC,QAAQA,KAAK,KAAK,oBAAoB,KAAK,oBAAoBA,GAAG,QAAQ,CAAC,CAAC,EAAEmqB,GAAG,KAAK,CAAC,YAAYnqB,EAAE,CAAC,KAAK,IAAIA,EAAE,KAAK,SAAS,CAAC,EAAE,KAAK,gBAAgB,CAAC,EAAE,KAAK,qBAAqB,EAAE,KAAK,MAAM,IAAIkqB,EAAE,CAAC,MAAM,OAAO,CAAC,GAAG,KAAK,oBAAoB,KAAK,OAAO,KAAK,mBAAmB,KAAK,IAAI,CAAC,CAAC,EAAE,GAAG,KAAK,iBAAiB,KAAK,OAAO,IAAIlqB,EAAE,KAAK,kBAAkB,EAAE,QAAQZ,EAAE,EAAEA,EAAEY,EAAE,OAAOZ,IAAI,CAAC,IAAI,EAAEY,EAAEZ,GAAG,GAAG,MAAM,KAAK,kBAAkB,CAAC,EAAE,QAAQ,CAAC,MAAM,KAAK,WAAW,CAAC,EAAE,MAAM,CAAC,CAAC,MAAM,IAAI,MAAM,wEAAwE,CAAC,CAAC,IAAI,SAAS,CAAC,GAAG,KAAK,oBAAoB,KAAK,MAAM,IAAI,MAAM,YAAY,KAAK,gIAAgI,EAAE,GAAG,KAAK,iBAAiB,KAAK,CAAC,GAAG,CAAC,KAAKY,EAAE,UAAUZ,CAAC,EAAE,KAAK,gCAAgC,EAAE,GAAGA,EAAE,MAAM,IAAI,MAAM,iCAAiCY,sHAAsH,EAAE,KAAK,WAAWA,CAAC,CAAC,CAAC,OAAO,KAAK,eAAe,CAAC,cAAc,CAAC,OAAO,OAAO,KAAK,KAAK,eAAe,CAAC,CAAC,YAAYA,EAAE,CAAC,GAAG,EAAEA,KAAK,KAAK,UAAU,GAAGA,KAAK,KAAK,gBAAgB,CAAC,GAAG,CAAC,UAAUZ,CAAC,EAAE,KAAK,kBAAkBY,CAAC,EAAE,GAAGZ,EAAE,OAAO,IAAI,KAAM,QAAO,KAAK,OAAO,KAAK,SAASY,EAAE,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,KAAK,KAAK,gBAAgB,KAAK,gBAAgBA,GAAG,QAAQ,IAAI,CAAC,gBAAgBA,EAAEZ,EAAE,EAAE,EAAE,CAAC,OAAOY,KAAK,KAAK,iBAAiBmlB,GAAG,GAAGnlB,qEAAqE,EAAE,KAAK,KAAK,gBAAgBA,GAAG,CAAC,QAAQZ,EAAE,SAAS,CAAC,EAAE,GAAG,CAAC,MAAM,WAAWY,EAAE,CAAC,GAAG,KAAK,gBAAgBA,IAAI,KAAK,MAAM,IAAI,MAAM,iBAAiBA,0BAA0B,EAAE,GAAG,KAAK,YAAYA,EAAE,KAAK,SAASA,IAAI,KAAK,CAAC,KAAK,gBAAgB,KAAK,GAAG,CAAC,QAAQZ,EAAE,UAAU,CAAC,EAAE,KAAK,kBAAkBY,CAAC,EAAE,GAAG,EAAE,EAAE,MAAMZ,EAAEA,GAAG,MAAM,EAAE,CAAC,OAAO,KAAK,gBAAgB,KAAK,SAASY,GAAG,KAAK,uBAAuB,EAAE,KAAK,SAAS,IAAI0nB,GAAG,KAAK,eAAe,EAAE,EAAE,CAAC,wBAAwB,CAAChC,GAAG,KAAK,WAAW,EAAE,QAAQ,GAAG,CAAC,EAAE,WAAW,MAAM,EAAE,UAAU,KAAK,eAAe,CAAC,CAAC,CAAC,CAAC,yBAAyB1lB,EAAE,CAAC0lB,GAAG1lB,CAAC,EAAE,QAAQR,GAAG,CAACA,EAAE,aAAa,MAAMA,EAAE,YAAY,KAAK,SAASQ,EAAE,CAAC,CAAC,CAAC,CAAC,kBAAkBA,EAAE,CAAC,IAAIZ,EAAE,KAAK,gBAAgBY,GAAG,GAAGZ,GAAG,KAAK,MAAM,IAAI,MAAM,6BAA6BY,2BAA2B,EAAE,GAAG,CAAC,IAAI,EAAEZ,EAAE,QAAQ,EAAE,GAAG,GAAG,EAAE,aAAakX,KAAK,OAAO,EAAE,MAAM,WAAW,CAAC,IAAI7W,EAAE,EAAE,KAAK,qBAAqBwB,EAAE,EAAE,KAAKC,GAAGzB,EAAE,KAAK,qBAAqB,IAAI,KAAK,SAASO,GAAGkB,EAAE,KAAK,mBAAmB,KAAK,GAAG,EAAE,MAAMA,IAAIzB,EAAE,KAAK,uBAAuB,KAAK,mBAAmB,KAAK0lB,GAAG,6BAA6BnlB,UAAU,EAAEmlB,GAAGjkB,EAAE,OAAOA,EAAE,OAAO,GAAG,GAAG,EAAE,OAAO,KAAK,mBAAmBD,EAAE,CAAC,QAAQA,EAAE,UAAU,EAAE,CAAC,KAAM,QAAO,KAAK,SAASjB,GAAG,EAAE,CAAC,QAAQ,GAAG,UAAU,EAAE,CAAC,OAAO,EAAN,CAAS,OAAOmlB,GAAG,6BAA6BnlB,UAAU,EAAEmlB,GAAG,EAAE,OAAO,EAAE,OAAO,EAAE,CAAC,QAAQ,GAAG,UAAU,EAAE,CAAC,CAAC,CAAC,cAAcnlB,EAAE,CAAC,GAAG,EAAEA,KAAK,KAAK,iBAAiB,MAAM,IAAI,MAAM,GAAGA,iCAAiC,EAAE,KAAK,cAAcA,GAAG,KAAK,oBAAoB,MAAM,KAAK,uBAAuBA,KAAK,KAAK,WAAW,KAAK,yBAAyBA,CAAC,EAAE,KAAK,SAASA,GAAG,QAAQ,EAAE,OAAO,KAAK,SAASA,IAAI,OAAO,KAAK,gBAAgBA,GAAG,KAAK,cAAcA,IAAI,KAAK,mBAAmB,KAAK,KAAK,YAAY,KAAK,KAAK,gBAAgB,KAAK,CAAC,mBAAmB,CAAC,GAAG,OAAO,KAAK,KAAK,eAAe,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,+BAA+B,EAAE,OAAO,OAAO,KAAK,KAAK,eAAe,EAAE,KAAK,CAACA,EAAEZ,IAAI,KAAK,gBAAgBA,GAAG,SAAS,KAAK,gBAAgBY,GAAG,QAAQ,CAAC,CAAC,iCAAiC,CAAC,IAAIA,EAAE,KAAK,kBAAkB,EAAE,QAAQZ,EAAE,EAAEA,EAAEY,EAAE,OAAOZ,IAAI,CAAC,IAAI,EAAEY,EAAEZ,GAAG,CAAC,QAAQK,EAAE,UAAUwB,CAAC,EAAE,KAAK,kBAAkB,CAAC,EAAE,GAAGA,GAAGxB,EAAE,MAAM,CAAC,KAAK,EAAE,UAAUwB,CAAC,CAAC,CAAC,MAAM,IAAI,MAAM,wEAAwE,CAAC,CAAC,SAASjB,EAAEZ,EAAE,CAAC,IAAI,EAAE,KAAK,MAAM,WAAW,IAAIA,CAAC,EAAEK,EAAE,EAAE,QAAQwB,EAAE,KAAK,SAAS7B,CAAC,EAAE8B,EAAEzB,EAAE,SAASL,CAAC,EAAEK,EAAE,YAAYL,EAAE,EAAE,EAAE,EAAE,QAAQY,EAAEA,EAAE,KAAKZ,EAAE6B,EAAE,EAAE,MAAM,EAAE,MAAMC,CAAC,EAAE,KAAK,uBAAuB,GAAG,KAAK,MAAM,kBAAkB,KAAK,MAAM,kBAAkB,OAAO,IAAI,CAAC,KAAKlB,EAAEZ,EAAE,CAAC,IAAI,EAAE,KAAK,GAAGA,GAAG,KAAK,CAAC,GAAG,OAAOY,GAAG,WAAW,MAAM,IAAI,MAAM,qCAAqC,EAAEZ,EAAEY,CAAC,KAAK,CAAC,GAAG,OAAOA,GAAG,UAAU,EAAEA,aAAa,QAAQ,MAAM,IAAI,MAAM,gFAAgF,EAAE,GAAG,OAAOZ,GAAG,WAAW,MAAM,IAAI,MAAM,gFAAgF,EAAE,EAAEY,CAAC,CAAC,IAAIP,EAAE,OAAO,KAAK,UAAU,IAAI,KAAK,WAAW,CAAC,EAAE,IAAI,KAAK,SAASA,CAAC,EAAE,KAAKA,EAAEL,EAAE,EAAEK,aAAa,SAAS,QAAQ,MAAM,yCAAyC,EAAEA,EAAE,CAAC,CAAC,UAAUO,EAAEZ,EAAE,EAAE,CAACY,EAAE,EAAE,GAAG,CAAC,IAAIP,EAAE,EAAE,EAAE,OAAOL,EAAE,EAAEK,CAAC,OAAOA,EAAN,CAAS,MAAML,EAAE,EAAEK,CAAC,CAAC,CAAC,cAAc,CAAC,OAAO0qB,GAAG,cAAc,CAAC,gBAAgB,CAAC,OAAOA,GAAG,gBAAgB,CAAC,MAAMnqB,EAAE,CAAC,IAAIZ,EAAEgrB,EAAE,UAAU5L,GAAG,CAAC,EAAExe,CAAC,CAAC,EAAE,EAAE,CAAC,EAAEA,CAAC,EAAEP,EAAEyB,IAAI,CAAC,EAAE,IAAI,CAAC,IAAIC,EAAE,UAAUC,EAAE,CAAC,EAAEF,CAAC,EAAE,EAAE,CAAC,MAAMC,CAAC,EAAE,OAAOipB,EAAE,UAAUzO,GAAGva,EAAE,CAAC,CAAC,CAAC,GAAGH,EAAE,CAAC,EAAE,OAAO,KAAK,YAAY,KAAK,MAAM,YAAY,KAAK,EAAE,CAAC7B,CAAC,EAAEK,EAAEwB,EAAE,CAAC,CAAC,EAAE7B,CAAC,CAAC,UAAUY,EAAEZ,EAAE,EAAE,CAAC,GAAG,KAAK,aAAa,MAAM,KAAK,QAAUmmB,GAAGvlB,EAAE,KAAK,WAAW,GAAG,KAAM,MAAM,IAAI,MAAM,WAAWA,kCAAkC,KAAK,cAAc,EAAE,OAAO,KAAK,cAAc,CAAC,WAAWA,EAAE,OAAOZ,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,wBAAwB,CAAC,OAAO,KAAK,IAAI,QAAQ,SAAS,CAAC,CAAC,sBAAsBY,EAAEZ,EAAE,EAAE,CAAC,IAAIK,EAAE,KAAK,QAAQ,WAAW,EAAEwB,EAAE,EAAE,EAAE,QAAQG,GAAG,CAACH,GAAGG,EAAE,QAAQ,YAAY,EAAE,CAAC,CAAC,EAAE,IAAIF,EAAE,KAAK,MAAM,kBAAkB,KAAK,MAAM,kBAAkB,OAAO,GAAGC,EAAE1B,EAAEL,EAAE6B,EAAEC,EAAE,GAAGC,EAAE,EAAE,MAAM,IAAI,MAAM,YAAY,KAAK,6CAA6CA,8BAA8BnB,IAAI,CAAC,CAAC,cAAcA,EAAE,CAAC,IAAIZ,EAAE,EAAE,CAAC,EAAEK,EAAE,KAAK,SAAS,EAAEwB,EAAE,KAAK,MAAM,SAASC,EAAE,KAAK,MAAM,WAAW,KAAK,uBAAuB,GAAG,KAAK,MAAM,kBAAkB,KAAK,CAAC,EAAE,IAAIC,EAAE,KAAK,aAAa,MAAM,KAAK,QAAQ,IAAIC,EAAE,EAAE6oB,GAAGjqB,CAAC,EAAEA,EAAE,WAAW,KAAK,MAAM,aAAa,KAAK,KAAK,MAAM,YAAY,KAAK,GAAG,GAAGiqB,GAAGjqB,CAAC,EAAE,CAAC,GAAG,CAAC,WAAWkC,EAAE,OAAOkB,EAAE,MAAMC,CAAC,EAAErD,EAAE,KAAK,aAAa,MAAM,KAAK,QAAQ,IAAIyG,EAAE8e,GAAGrjB,EAAE,KAAK,WAAW,EAAE8U,EAAEvQ,GAAG,KAAK,IAAI,kCAAkCvE,mBAAmB,KAAK,cAAc,EAAEf,EAAE,IAAI,CAAC,IAAI,EAAE,KAAK,QAAQ,WAAW,EAAEC,EAAEqF,EAAE,WAAW,CAAC,OAAOrD,EAAE,MAAMC,EAAE,QAAQ,KAAK,OAAO,CAAC,EAAE,IAAIQ,EAAE,MAAM,QAAQzC,CAAC,EAAEA,EAAE,CAACA,CAAC,EAAE,KAAK,uBAAuB,GAAG,KAAK,sBAAsBc,EAAE,EAAE2B,CAAC,EAAE,IAAIC,EAAED,EAAE,IAAIE,GAAGA,EAAE,MAAM,KAAKA,EAAE,KAAK,yBAAyBA,CAAC,CAAC,EAAE,GAAGtE,EAAE,CAAC,IAAIsE,EAAE,KAAK,sBAAsB7B,EAAEkB,EAAEU,CAAC,EAAE,EAAE,KAAK,2BAA2BC,CAAC,CAAC,CAAC,OAAOD,CAAC,CAAC,KAAK,CAAC,GAAG,CAAC,YAAY5B,CAAC,EAAElC,EAAEoD,EAAEC,GAAG,CAAC,CAAC5D,IAAI,EAAE4D,EAAE,IAAIoD,GAAG,KAAK,KAAK,KAAK,MAAMA,CAAC,CAAC,CAAC,EAAE,EAAEtF,EAAE,IAAI,CAAC,IAAIkC,EAAE,KAAK,QAAQ,WAAW,EAAEjC,EAAE,KAAK,KAAK,IAAIc,EAAE,KAAK,QAAQkB,CAAC,CAAC,EAAE,IAAIqD,EAAE,MAAM,QAAQrF,CAAC,EAAEA,EAAE,CAACA,CAAC,EAAE,OAAO,KAAK,uBAAuB,GAAG,KAAK,sBAAsB,EAAEiC,EAAEoD,CAAC,EAAEA,CAAC,CAAC,CAAC,GAAG,CAAC,OAAO3E,EAAE,MAAM,CAAC,EAAE9B,EAAEgC,EAAEioB,GAAGjqB,CAAC,EAAE,KAAKA,EAAE,cAAciC,EAAE,OAAO,KAAK,UAAU,IAAI,KAAK,MAAM,cAAc,IAAI,KAAK,MAAM,cAAc,IAAI,CAAC,CAAC,KAAK,IAAI,QAAQ,OAAO,GAAG,CAAC,KAAK,MAAM,UAAU7C,EAAE+B,EAAE,GAAGc,EAAE,KAAK,SAAS,cAAc,EAAEH,EAAE,IAAIX,EAAE,CAAC,EAAE,KAAK,IAAI,QAAQ,OAAO,GAAG,KAAK,SAAS,iBAAiBc,CAAC,EAAE7C,EAAE6C,EAAE,QAAQ,CAAC,EAAExC,GAAG,KAAK,YAAY,EAAEqC,EAAE1C,EAAE4C,EAAE,EAAE,CAAC,EAAE,KAAK,MAAM,WAAW,KAAK,MAAM,cAAc,QAAQ,KAAK,CAAC,KAAK,EAAE,WAAW,KAAK,MAAM,SAASf,EAAE,mBAAmB,KAAK,MAAM,SAAS,aAAa,KAAK,MAAM,WAAWC,EAAE,qBAAqB,KAAK,MAAM,WAAW,YAAY,OAAO,KAAKY,CAAC,EAAE,IAAII,GAAGJ,EAAEI,IAAI,KAAKJ,EAAEI,GAAG,MAAM,IAAI,EAAE,aAAa9C,EAAE,IAAI8C,GAAGA,EAAE,KAAK,EAAE,aAAaD,EAAE,OAAO,UAAUA,EAAE,SAAS,CAAC,EAAE,MAAM,QAAQb,CAAC,EAAEhC,EAAEA,EAAE,EAAE,CAAC,2BAA2BY,EAAE,CAAC,OAAOA,EAAE,IAAIR,GAAG,KAAK,KAAK,KAAK,MAAMA,CAAC,CAAC,CAAC,CAAC,CAAC,sBAAsBQ,EAAEZ,EAAE,EAAE,CAAC,IAAIK,EAAEgmB,GAAGzlB,CAAC,EAAE,GAAGP,GAAG,KAAK,CAAC,IAAIwB,EAAExB,EAAE,cAAc,CAAC,EAAEyB,EAAEzB,EAAE,eAAe,CAAC,EAAE0B,EAAE1B,EAAE,eAAeuX,EAAE,MAAM,QAAQ5X,CAAC,EAAE,IAAI,wDAAwD,EAAE+B,EAAE,OAAO,KAAK/B,CAAC,EAAE,IAAI,GAAGA,EAAE,EAAE,GAAG+B,EAAEF,EAAE,IAAI,GAAG7B,EAAE,EAAE,EAAE,IAAIgC,EAAE,EAAE,OAAO,CAAC,EAAEU,IAAIZ,EAAEY,EAAE,EAAE,OAAOX,EAAE,OAAOC,CAAC,CAAC,CAAC,MAAM,CAAC,CAAC,CAAC,WAAWpB,EAAEZ,EAAE,EAAEK,EAAE,CAAC,GAAGO,GAAG,KAAK,MAAM,IAAI,MAAM,+CAA+C,EAAE,EAAE,GAAG,UAAUP,EAAEA,GAAG,KAAK,QAAQ,IAAIwB,EAAEjB,EAAE,IAAI,UAAUwY,GAAGxY,EAAE,EAAE,IAAIiB,EAAEjB,EAAE,IAAIoB,GAAG+kB,GAAG/kB,CAAC,CAAC,GAAG,IAAIF,EAAEzB,EAAE,MAAMwB,EAAE7B,EAAE,CAAC,EAAE+B,EAAE,IAAI4nB,GAAG3pB,EAAE,EAAE8B,EAAE,KAAK,aAAa,CAAC,EAAE,GAAG,KAAK,YAAYC,EAAE1B,CAAC,EAAE,IAAI,SAAS,CAAC,IAAI2B,EAAE,KAAK,MAAM,WAAW,IAAIF,CAAC,EAAE,EAAEqX,GAAGtX,CAAC,EAAE,KAAK,MAAM,UAAU,EAAEG,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,OAAOD,CAAC,CAAC,qBAAqBnB,EAAEZ,EAAE,EAAEK,EAAE,CAAC,EAAE,GAAG,UAAU,IAAIwB,EAAE,CAAC,OAAOjB,EAAE,MAAMZ,EAAE,MAAM,CAAC,EAAE,OAAO,KAAK,yBAAyB6B,EAAExB,CAAC,CAAC,CAAC,yBAAyBO,EAAEZ,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAMK,EAAE,MAAMwB,CAAC,EAAEjB,EAAEkB,EAAE,IAAI6nB,GAAGtpB,EAAEwB,EAAE,EAAE,KAAK,aAAa,CAAC,EAAE,OAAO,KAAK,YAAYC,EAAE9B,CAAC,EAAE8B,CAAC,CAAC,aAAalB,EAAEZ,EAAE,GAAG,EAAEK,EAAE,CAAC,EAAE,GAAG,KAAK,eAAe,EAAE,SAAS,EAAEA,GAAG,MAAMA,IAAIO,EAAE,QAAQA,EAAEA,EAAE,KAAKP,CAAC,GAAG,IAAIwB,EAAE,IAAIgoB,GAAGjpB,EAAEZ,EAAE,EAAE,KAAK,aAAa,CAAC,EAAE,GAAG,KAAK,MAAM,oBAAoB6B,EAAE,OAAO,KAAK,MAAM,IAAI,MAAM,sBAAsBA,EAAE,6BAA6B,EAAE,OAAO,KAAK,MAAM,oBAAoBA,EAAE,MAAMA,EAAE,KAAK,OAAOA,EAAE,KAAK,OAAO,EAAEA,CAAC,CAAC,YAAYjB,EAAEZ,EAAE,CAAC,KAAK,MAAM,aAAaY,EAAE,QAAQ,UAAU,KAAK,MAAM,mBAAmB,IAAI,EAAE,EAAEA,EAAE,QAAQ,aAAaA,EAAE,QAAQ,WAAW,EAAEA,EAAE,KAAKsY,GAAGtY,EAAE,KAAK,GAAG,KAAK,MAAM,UAAU,EAAE,KAAK,MAAM,WAAW,IAAIA,EAAE,MAAM,IAAI,KAAK,MAAM,iBAAiB,KAAK,MAAM,WAAW,IAAIA,EAAE,OAAO,CAAC,QAAQZ,GAAG,KAAK,QAAQ,MAAMY,EAAE,MAAM,MAAMA,EAAE,MAAM,MAAM,CAAC,CAAC,GAAGA,aAAaipB,IAAI,KAAK,MAAMjpB,CAAC,CAAC,CAAC,OAAOA,EAAEZ,EAAE,CAAC,KAAK,YAAYY,EAAEZ,CAAC,EAAE,KAAK,QAAQ,OAAOY,EAAE,MAAM,CAAC,CAAC,aAAaA,EAAEZ,EAAE,CAAC,KAAK,MAAM,WAAW,IAAIY,CAAC,GAAG,KAAK,MAAM,WAAW,IAAIA,CAAC,EAAE,UAAUZ,IAAI,KAAK,MAAM,WAAW,OAAOY,CAAC,EAAE,KAAK,MAAM,iBAAiB,CAAC,cAAcA,EAAE,CAAC,GAAG,CAAC,KAAK,MAAM,WAAW,IAAIA,EAAE,MAAM,EAAE,OAAO,IAAIZ,EAAE,KAAK,MAAM,WAAW,IAAIY,EAAE,MAAM,EAAE,GAAG,KAAK,MAAM,aAAaA,EAAE,QAAQ,WAAW,KAAK,MAAM,mBAAmB,KAAK,MAAM,UAAUZ,EAAE,OAAOY,EAAE,QAAQ,aAAaA,EAAE,QAAQ,SAAS,CAAC,IAAI,EAAEA,EAAE,KAAKsY,GAAGtY,EAAE,KAAK,EAAE,KAAK,MAAM,UAAU,CAAC,CAACZ,EAAE,QAAQ,YAAYY,EAAE,MAAM,GAAG,KAAK,aAAaA,EAAE,OAAOZ,EAAE,OAAO,CAAC,CAAC,kBAAkB,CAAC,QAAQY,KAAK,KAAK,MAAM,oBAAoB,CAAC,IAAIZ,EAAE,KAAK,MAAM,oBAAoBY,GAAG,KAAK,gBAAgBZ,CAAC,CAAC,CAAC,CAAC,gBAAgBY,EAAE,CAAC,KAAK,cAAcA,CAAC,EAAE,KAAK,MAAM,oBAAoBA,EAAE,OAAO,MAAM,OAAO,KAAK,MAAM,oBAAoBA,EAAE,KAAK,CAAC,QAAQ,CAAC,IAAIA,EAAE,KAAK,QAAQ,OAAO,EAAE,OAAOA,EAAE,WAAW,KAAK,MAAM,WAAWA,EAAE,eAAe,KAAK,MAAM,eAAeA,EAAE,SAAS,KAAK,MAAM,SAAS,KAAK,MAAM,iBAAiB,IAAIA,EAAE,WAAW,GAAGA,EAAE,SAAS,OAAOA,EAAE,QAAQ,CAAC,GAAGA,EAAE,QAAQ,KAAK,uEAAuE,GAAGA,CAAC,CAAC,MAAM,QAAQA,EAAE,CAAC,KAAK,MAAM,UAAU,GAAG,IAAIZ,EAAE,KAAK,MAAM,SAAS,EAAE,KAAK,MAAM,WAAW,KAAK,MAAM,cAAc,QAAQ,CAAC,EAAE,KAAK,MAAM,cAAc,OAAO,MAAMY,EAAE,EAAE,KAAK,MAAM,UAAU,GAAG,KAAK,MAAM,cAAc,UAAU,KAAK,IAAI,GAAG,KAAK,MAAM,cAAc,QAAQ,IAAIP,GAAGA,EAAE,kBAAkB,CAAC,EAAE,KAAK,MAAM,cAAc,SAAS,KAAK,MAAM,SAASL,EAAE,KAAK,MAAM,cAAc,WAAW,KAAK,MAAM,WAAW,EAAE,QAAQK,KAAK,KAAK,MAAM,cAAc,QAAQA,EAAE,aAAa,MAAMA,EAAE,aAAaA,EAAE,UAAU,MAAMA,EAAE,UAAU,OAAO,KAAK,MAAM,aAAa,CAAC,UAAU,CAAC,OAAO,KAAK,MAAM,cAAc,GAAG,KAAK,MAAM,cAAc,CAAC,CAAC,YAAYO,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAE,CAAC,IAAIC,EAAE,CAAC,GAAG,KAAK,MAAM,iBAAiB,WAAWnB,EAAE,OAAOZ,EAAE,QAAQ,EAAE,MAAM6B,CAAC,EAAEG,EAAEqkB,GAAGzlB,CAAC,EAAEoB,GAAG,OAAO3B,EAAE2B,EAAE,UAAU3B,GAAG,OAAO0B,EAAE,SAAS,IAAI,EAAE,EAAE,IAAI,CAACW,EAAE,IAAI,CAAC,GAAGA,GAAG,KAAK,CAAC,IAAIE,EAAE,EAAE,GAAGC,EAAEiX,GAAGlX,EAAE,KAAKA,EAAE,KAAK,EAAE,OAAO,KAAK,WAAWC,EAAED,EAAE,MAAMA,EAAE,KAAK,CAAC,CAAC,OAAOF,CAAC,CAAC,EAAErC,EAAE,EAAE,OAAO,EAAE,EAAE,EAAE,GAAGwB,EAAEC,CAAC,IAAI,KAAK,MAAM,WAAW,KAAKC,CAAC,CAAC,CAAC,KAAKnB,EAAE,CAAC,OAAOA,EAAE,KAAK,GAAGA,CAAC,CAAC,WAAW,CAAC,KAAK,MAAM,gBAAgB,IAAI,KAAK,MAAM,WAAW,CAAC,GAAG,KAAK,MAAM,eAAe,CAAC,SAAS,CAAC,KAAK,MAAM,eAAe,CAAC,WAAWA,EAAE,CAAC,IAAIZ,EAAE,CAAC,MAAM,CAAC,EAAE,KAAK,gBAAgB,GAAG,KAAK,MAAM,aAAa,EAAEY,IAAIZ,EAAE,KAAKY,GAAG,KAAK,MAAM,WAAW,KAAKZ,CAAC,EAAE,KAAK,MAAM,YAAYA,CAAC,CAAC,SAASY,EAAE,CAAC,IAAIZ,EAAEgqB,GAAGppB,CAAC,EAAE,EAAE,IAAI,IAAIZ,EAAE,IAAI6B,GAAGA,EAAE,EAAE,CAAC,EAAE,QAAQA,EAAE,EAAEA,EAAE,KAAK,MAAM,YAAY,MAAM,OAAOA,IAAI,CAAC,IAAIC,EAAE,KAAK,MAAM,YAAY,MAAMD,GAAG,CAACC,EAAE,MAAM,CAAC,EAAE,IAAIA,EAAE,EAAE,GAAGA,EAAE,QAAQ,CAAC,CAAC,IAAIzB,EAAE,KAAK,MAAM,WAAW,IAAI,EAAE,KAAK,MAAM,YAAY,KAAK,MAAM,WAAW,SAAS,EAAE,KAAK,KAAK,MAAM,WAAW,KAAK,MAAM,WAAW,OAAO,GAAGL,EAAE,QAAQ6B,GAAG,CAAC,CAACA,EAAE,MAAMA,EAAE,UAAUxB,EAAE,IAAI,KAAK,MAAMwB,CAAC,CAAC,CAAC,CAAC,CAAC,UAAUjB,EAAEZ,EAAE,EAAEK,EAAE,GAAG,CAAC,GAAGuX,EAAE5X,EAAE,OAAO,EAAE,IAAI,2CAA2C,EAAE,GAAG,MAAM,EAAE,QAAQ,UAAU,MAAM,IAAI,MAAM,0CAA0C,EAAE,QAAQ,EAAE,IAAI6B,EAAE,KAAK,UAAU,IAAI,KAAK,UAAU,EAAE,IAAI,KAAK,QAAQ,EAAE,IAAI,KAAK,KAAK,UAAUjB,CAAC,CAAC,EAAEgX,EAAE/V,aAAa8nB,GAAG,IAAI,gDAAgD,EAAE,IAAI7nB,EAAE2mB,GAAG,KAAK,MAAM,WAAWzoB,EAAE6B,CAAC,EAAE,GAAG,CAACxB,GAAGyB,EAAE,SAAS,GAAG9B,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,qIAAqI,EAAE,OAAO,KAAK,KAAK,WAAW,IAAI,CAAC,IAAI+B,EAAE,CAAC,EAAEA,EAAEF,EAAE,IAAI,GAAG,KAAKopB,GAAGppB,EAAE,KAAK,EAAE,EAAE6mB,GAAG3mB,EAAED,EAAE,GAAG,KAAK,KAAK,CAAC,EAAEopB,EAAE,EAAE,IAAIlpB,EAAEhC,EAAE,IAAI,GAAG+B,EAAE,EAAE,GAAG,EAAE,OAAO,KAAK,MAAM,gBAAgB,IAAI,KAAK,MAAM,WAAW,QAAQ,GAAG,CAAC,QAAQW,KAAK,EAAE,MAAMA,EAAE,QAAQ,CAAC,CAAC,EAAE,KAAK,MAAM,WAAW,MAAM,CAAC,MAAMb,EAAE,MAAMG,CAAC,CAAC,CAAC,CAAC,CAAC,WAAWpB,EAAE,CAAC,OAAOgX,EAAE4B,GAAG5Y,CAAC,EAAE,IAAI,mDAAmD,EAAE,IAAIZ,IAAI,CAAC4X,EAAE5X,EAAE,MAAM+B,GAAGA,aAAa4nB,EAAE,EAAE,IAAI,kEAAkE,EAAE,IAAI,EAAEtpB,EAAE,CAAC,EAAEL,EAAE,QAAQ,CAAC+B,EAAEC,IAAI,CAAC3B,EAAE2B,GAAGD,CAAC,CAAC,EAAE,IAAIF,EAAE,CAACE,EAAEC,KAAK,EAAEpB,EAAE,GAAGZ,EAAEgC,CAAC,EAAE4V,EAAE,EAAE,iBAAiB+R,GAAG,IAAI,4FAA4F,EAAE/R,EAAE4B,GAAG,EAAE,QAAQ,EAAE,IAAI,kGAAkG,EAAE,EAAE,OAAO1X,EAAE,CAACC,EAAEC,IAAI,CAAC,IAAI,EAAE,EAAE,SAASD,EAAEC,CAAC,EAAEU,EAAE,MAAM,QAAQ,CAAC,EAAE,EAAE,CAAC,CAAC,EAAEkV,EAAElV,EAAE,SAAS1C,EAAE,OAAO,IAAI,qKAAqK,EAAE4X,EAAElV,EAAE,MAAME,GAAGA,aAAa+mB,EAAE,EAAE,IAAI,sIAAsI,EAAE,IAAI,EAAE,CAAC,EAAE,OAAOjnB,EAAE,QAAQ,CAACE,EAAEC,IAAI,CAAC,EAAEA,GAAG,IAAID,CAAC,CAAC,EAAE,CAAC,EAAE,OAAO,KAAK,cAAc,CAAC,YAAYf,EAAE,cAAcC,EAAE,OAAOzB,CAAC,CAAC,CAAC,CAAC,CAAC,SAASO,EAAE,CAAC,OAAO,KAAK,MAAM,WAAW,IAAIA,CAAC,EAAE,QAAQ,SAASA,CAAC,CAAC,CAAC,KAAKA,EAAE,CAAC,OAAO,KAAK,MAAM,WAAW,IAAIA,CAAC,EAAE,QAAQ,KAAKA,CAAC,CAAC,CAAC,UAAUA,EAAEZ,EAAE,CAAC,OAAO,KAAK,MAAM,WAAW,IAAIY,CAAC,EAAE,QAAQ,UAAUA,EAAEZ,CAAC,CAAC,CAAC,MAAM,KAAKY,EAAE,CAAC,IAAIZ,EAAEmnB,GAAG,EAAE,EAAE,MAAM,KAAK,QAAQ,KAAKvmB,CAAC,EAAE,OAAO,EAAE,OAAOumB,GAAG,EAAEnnB,EAAE,CAAC,CAAC,MAAMY,EAAE,CAAC,OAAO,KAAK,MAAM,aAAa,OAAOA,EAAE,QAAQ,KAAK,MAAM,YAAY,GAAG,KAAK,MAAM,YAAY,MAAM,KAAKA,CAAC,GAAGA,CAAC,CAAC,IAAI,qBAAqB,CAAC,OAAO,KAAK,MAAM,mBAAmB,CAAC,OAAO,CAAC,KAAK,uBAAuB,KAAK,MAAM,QAAQ,EAAE,KAAK,IAAI,MAAM,EAAE,KAAK,MAAM,IAAIkqB,GAAG,QAAQlqB,KAAK,KAAK,SAAS,KAAK,yBAAyBA,CAAC,EAAE,KAAK,SAASA,GAAG,QAAQ,EAAE,OAAO,KAAK,SAASA,GAAG,KAAK,YAAY,KAAK,KAAK,gBAAgB,KAAK,KAAK,mBAAmB,IAAI,CAAC,EAAEmqB,GAAG,aAAa,EAAEA,GAAG,eAAe,EAAE,SAASE,GAAGnrB,EAAE,CAAC,IAAI,EAAE+Z,GAAG3B,GAAGpY,CAAC,EAAE,SAAS,EAAE,OAAOkrB,EAAE,WAAW,EAAElrB,EAAE,SAAS,CAAC,CAAC,SAASqrB,IAAI,CAAC,IAAIrrB,EAAE+a,GAAG,EAAE,GAAG/a,EAAE,WAAW,KAAK,CAAC,IAAI,EAAE,IAAIua,GAAGva,CAAC,EAAEA,EAAE,UAAU,IAAIirB,GAAG,CAAC,CAAC,CAAC,OAAOpQ,GAAG7a,EAAE,UAAU,GAAG,EAAE0pB,GAAG,IAAI1pB,EAAE,SAAS,EAAEA,EAAE,SAAS,CAAC,IAAIkrB,EAAEG,GAAG,EAAE,SAASD,GAAGprB,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEF,EAAE,EAAE,CAAC,EAAE,OAAOkrB,EAAE,UAAU7P,GAAGnb,CAAC,CAAC,CAAC,IAAIorB,GAAG,CAAC,EAAElrB,GAAGkrB,GAAG,CAAC,UAAU,IAAIC,GAAG,SAAS,IAAIC,GAAG,aAAa,IAAIC,EAAE,CAAC,EAAE,SAASC,IAAI,CAAC,OAAO,OAAO,WAAW,aAAa,WAAW,IAAI,CAAC,IAAIC,GAAG,SAASF,GAAGzrB,EAAE,CAAC2rB,GAAG3rB,CAAC,CAAC,SAASwrB,GAAGxrB,EAAE,CAAC,GAAG2rB,KAAK,OAAO,OAAOA,GAAG,GAAG3rB,GAAG0rB,GAAG,EAAE,CAAC,GAAG1rB,IAAIA,EAAE,WAAWA,EAAE,UAAU,cAAc,MAAM,GAAG,IAAI,EAAEA,EAAE,WAAWA,EAAE,SAAS,OAAO,QAAQ,YAAY,OAAO,MAAM,IAAI,GAAG,CAAC,EAAE,CAAC,IAAIE,EAAEF,EAAE,OAAOE,EAAE,eAAeA,EAAE,cAAc,MAAM,CAAC,MAAM,2TAA2T,KAAK,CAAC,GAAG,0kDAA0kD,KAAK,EAAE,OAAO,EAAE,CAAC,CAAC,CAAC,CAAC,MAAM,EAAE,CAAC,SAASqrB,IAAI,CAAC,OAAO,OAAO,QAAQ,aAAa,OAAO,UAAU,MAAM,OAAO,mBAAmB,WAAW,CAAC,IAAIK,GAAGnR,EAAE,EAAEmR,GAAG,aAAa,QAAQ,IAAI,GAAG5rB,GAAG,CAACA,GAAG,QAAQ,KAAK,6IAA6I,CAAC,CAAC,EAAE4rB,GAAG,aAAa,aAAa,IAAIL,GAAG,CAAC,EAAEK,GAAG,aAAa,UAAU,IAAI,OAAO,SAAS,aAAa,OAAO,QAAQ,UAAU,aAAa,OAAO,QAAQ,SAAS,MAAM,WAAW,EAAEA,GAAG,aAAa,YAAY,IAAI,OAAO,WAAW,aAAa,WAAW,MAAM,UAAU,WAAW,MAAM,SAAS,KAAK,UAAU,SAAS,GAAG,aAAa,KAAK,UAAU,MAAM,CAAC,EAAEA,GAAG,aAAa,OAAO,IAAI,EAAE,EAAEA,GAAG,aAAa,qCAAqC,IAAIA,GAAG,QAAQ,OAAO,CAAC,EAAEA,GAAG,aAAa,+BAA+B,IAAI,EAAE,EAAEA,GAAG,aAAa,UAAU,IAAI,EAAE,EAAEA,GAAG,aAAa,+BAA+B,IAAI,EAAE,EAAEA,GAAG,aAAa,sBAAsB,IAAI,EAAE,EAAEA,GAAG,aAAa,sBAAsB,IAAI,EAAE,EAAEA,GAAG,aAAa,wCAAwC,IAAI,EAAE,EAAEA,GAAG,aAAa,uBAAuB,IAAI,EAAE,EAAE,SAASC,GAAG7rB,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,GAAGmY,GAAGnY,CAAC,EAAE,OAAO,IAAI,SAAS,CAAC,EAAE,CAACA,EAAE,MAAM,EAAE,GAAG,OAAOA,GAAG,UAAU,YAAYA,EAAE,CAAC,IAAIO,EAAEP,EAAE,UAAU,OAAO,MAAM,CAACA,EAAE,OAAOA,EAAE,MAAMO,EAAE,MAAM,CAAC,CAAC,GAAG,CAAC,MAAM,QAAQP,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIM,EAAE,CAAC,EAAE,KAAK,MAAM,QAAQJ,CAAC,GAAGiY,GAAGjY,CAAC,GAAG,IAAI,UAAUI,EAAE,KAAKJ,EAAE,MAAM,EAAEA,EAAEA,EAAE,GAAG,OAAO,MAAM,QAAQF,CAAC,GAAGya,EAAE,EAAE,QAAQ,oCAAoC,GAAGqR,GAAG9rB,EAAEM,EAAE,CAAC,CAAC,EAAEA,CAAC,CAAC,SAASwrB,GAAG9rB,EAAE,EAAEE,EAAE,CAAC,GAAGA,EAAEA,GAAG,CAAC,EAAE,CAAC,MAAM,QAAQF,CAAC,GAAG,CAACmY,GAAGnY,CAAC,EAAE,CAAC8X,EAAE,EAAE,SAAS,EAAE,IAAI,eAAe5X,EAAE,KAAK,IAAI,2DAA2D,EAAE,aAAa,EAAE,MAAM,CAAC4X,EAAE,EAAE,OAAO,EAAE,IAAI,eAAe5X,EAAE,KAAK,IAAI,gDAAgDF,EAAE,iBAAiB,EAAE8X,EAAE9X,EAAE,SAAS,EAAE,GAAG,IAAI,eAAeE,EAAE,KAAK,IAAI,kBAAkB,EAAE,wBAAwBF,EAAE,iBAAiB,EAAE,IAAIM,EAAE,EAAE,MAAM,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEP,EAAE,OAAO,EAAEO,EAAEurB,GAAG9rB,EAAEO,GAAGD,EAAEJ,EAAE,OAAOK,CAAC,CAAC,CAAC,CAAC,SAASwrB,GAAG/rB,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAGN,IAAI,oBAAoB,CAAC,GAAGA,GAAG,KAAK,MAAM,IAAI,MAAM,gCAAgC,EAAE,GAAGA,IAAI,WAAWA,IAAI,GAAGA,IAAI,WAAW,IAAI,SAAS,MAAM,IAAI,MAAM,aAAaE,iBAAiBI,cAAcN,qBAAqB,UAAU,CAAC,CAAC,CAAC,SAASgsB,EAAEhsB,EAAE,EAAEE,EAAEI,EAAE,UAAU,CAAC,GAAGN,aAAa6pB,GAAG,OAAOkC,GAAGzrB,EAAEN,EAAE,MAAM,EAAEE,CAAC,EAAEF,EAAE,IAAIO,EAAEkZ,GAAGzZ,CAAC,EAAE,GAAGO,IAAI,UAAU,CAAC,OAAO,QAAQ,SAAS,EAAE,QAAQD,CAAC,GAAG,IAAIC,EAAED,GAAGyrB,GAAGzrB,EAAEC,EAAE,EAAEL,CAAC,EAAEF,GAAG,MAAM,CAACmY,GAAGnY,CAAC,GAAG,CAAC,MAAM,QAAQA,CAAC,GAAG,OAAOA,GAAG,UAAU,OAAOA,GAAG,WAAW,OAAOA,GAAG,SAAS,CAAC,IAAIkC,EAAElC,GAAG,KAAK,OAAOA,EAAE,YAAY,KAAK,MAAM,IAAI,MAAM,aAAa,iBAAiBE,+CAA+CgC,IAAI,CAAC,CAAC,IAAI,EAAE2pB,GAAG7rB,EAAEO,CAAC,EAAE,CAAC4X,GAAGnY,CAAC,GAAG,CAAC,MAAM,QAAQA,CAAC,IAAIA,EAAE,CAACA,CAAC,GAAG,IAAIiC,EAAE1B,IAAI,SAAS+mB,GAAGtnB,EAAEO,CAAC,EAAE2X,GAAGlY,EAAE,CAAC,EAAE,EAAE,EAAE,OAAOkrB,EAAE,WAAWjpB,EAAE,EAAE1B,CAAC,CAAC,CAAC,SAAS0rB,GAAGjsB,EAAE,EAAEE,EAAEI,EAAE,UAAU,CAAC,GAAG,CAAC,MAAM,QAAQN,CAAC,EAAE,MAAM,IAAI,MAAM,YAAY,eAAeE,8CAA8C,EAAE,OAAOF,EAAE,IAAI,CAAC+B,EAAEC,IAAIgqB,EAAEjqB,EAAE,GAAG,KAAKC,KAAK9B,EAAEI,CAAC,CAAC,CAAC,CAAC,IAAI4rB,GAAG,OAAO,SAASC,EAAEnsB,EAAE,CAAC,IAAI,EAAE,OAAO,KAAKA,CAAC,EAAE,GAAG,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,yGAAyG,EAAE,cAAc,EAAE,IAAIE,EAAE,EAAE,GAAGI,EAAEN,EAAEE,GAAGA,EAAE,SAAS,GAAG,IAAIA,EAAEA,EAAE,UAAU,EAAEA,EAAE,OAAO,CAAC,GAAGA,EAAEA,EAAEgsB,GAAG,IAAI3rB,EAAE,IAAI,IAAI,CAAC2qB,EAAE,WAAWhrB,CAAC,EAAE,GAAG,CAAC,IAAI,EAAEI,EAAE,GAAG,CAAC,EAAE,OAAO+Z,GAAG,CAAC,GAAG,QAAQ,MAAM,yCAAyC,EAAE6Q,EAAE,SAAS,CAAC,EAAE,CAAC,OAAO,EAAN,CAAS,MAAMA,EAAE,SAAS,IAAI,EAAE,CAAC,CAAC,EAAE,OAAO,OAAO,eAAe3qB,EAAE,OAAO,CAAC,MAAML,EAAE,aAAa,EAAE,CAAC,EAAEK,CAAC,CAAC,SAAS6rB,GAAGpsB,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,OAAO,SAAS,EAAEM,EAAE0rB,EAAE,EAAE,OAAO,SAAS,EAAEjU,GAAG7X,EAAE,MAAMI,EAAE,MAAM,yBAAyBJ,EAAE,aAAaI,EAAE,4CAA4C,EAAE,IAAIC,EAAE,CAAC,KAAKL,EAAE,KAAKI,CAAC,EAAE,OAAO4qB,EAAE,UAAUtO,GAAGrc,CAAC,CAAC,CAAC,IAAI8rB,GAAGF,EAAE,CAAC,SAASC,EAAE,CAAC,EAAE,SAASE,GAAGtsB,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAGA,GAAG,OAAOA,EAAEmZ,GAAGzZ,CAAC,GAAGM,IAAI,YAAY,MAAM,IAAI,MAAM,kFAAkF,EAAE,GAAG,OAAON,GAAG,UAAU,YAAYA,EAAE,CAAC,GAAGM,IAAI,WAAWA,IAAI,QAAQ,MAAM,IAAI,MAAM,0FAA0FA,IAAI,EAAE,OAAON,EAAE,SAASA,EAAE,UAAU,OAAOkrB,EAAE,QAAQ,wBAAwBlrB,EAAE,GAAGE,EAAEI,CAAC,CAAC,CAAC,GAAG,CAAC6X,GAAGnY,CAAC,GAAG,CAAC,MAAM,QAAQA,CAAC,GAAG,OAAOA,GAAG,UAAU,OAAOA,GAAG,WAAW,OAAOA,GAAG,SAAS,MAAM,IAAI,MAAM,0HAA0H,EAAE,GAAG,GAAG,KAAK,CAACka,GAAG,CAAC,EAAE,IAAI3Z,EAAE6X,GAAG,CAAC,EAAE,EAAEA,GAAGlY,CAAC,EAAE4X,EAAEvX,IAAI,EAAE,IAAI,iCAAiC,8BAA8BA,oBAAoB,GAAG,EAAE,QAAQ,EAAE,EAAE,EAAEL,EAAE,OAAO,EAAE,EAAE,CAAC,IAAI+B,EAAE/B,EAAE,GAAGgC,EAAE,IAAIhC,EAAE,OAAO,EAAE+B,IAAImW,GAAG,EAAE,MAAM,CAAC,CAAC,EAAE,GAAGN,EAAE5X,EAAE,KAAK,EAAE,IAAI,CAACgC,EAAE,IAAI,gDAAgDhC,yCAAyC,MAAM,CAAC,CAAC,CAAC,MAAM,CAACiY,GAAGnY,CAAC,GAAG,CAAC,MAAM,QAAQA,CAAC,IAAIA,EAAE,CAACA,CAAC,GAAG,EAAE,GAAGE,EAAEF,EAAEM,IAAI,SAASgnB,GAAGtnB,EAAEM,CAAC,EAAE4X,GAAGlY,EAAE,CAAC,EAAE,EAAE,EAAEkrB,EAAE,WAAWlrB,EAAE,EAAEM,CAAC,CAAC,CAAC,SAASisB,GAAGvsB,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEurB,GAAG7rB,EAAEE,CAAC,EAAE,OAAOosB,GAAGtsB,EAAE,EAAEM,EAAEJ,CAAC,CAAC,CAAC,IAAIssB,GAAG,CAAC,QAAQ,EAAE,QAAQ,EAAE,MAAM,EAAE,OAAO,EAAE,MAAM,EAAE,KAAK,EAAE,UAAU,CAAC,EAAMC,GAAG,EAAE,eAAeC,GAAG1sB,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEI,EAAE,CAAC,EAAEC,EAAE,MAAM,QAAQP,CAAC,EAAEA,EAAE,IAAI,GAAG,EAAE,IAAI,EAAE,OAAO,KAAKA,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEO,EAAE,OAAO,EAAE,EAAE,CAAC,IAAI0B,EAAE1B,EAAE,GAAG2B,EAAE,MAAM,QAAQlC,CAAC,EAAEA,EAAE,GAAG,OAAOA,EAAEiC,GAAG,GAAGC,EAAE,QAAQ,WAAWA,EAAE,QAAQ,SAASA,EAAE,QAAQ,QAAQA,EAAE,QAAQ,UAAUA,EAAE,QAAQ,YAAY,MAAM,IAAI,MAAM,gCAAgCD,OAAOC,EAAE,OAAO,EAAE,IAAIC,EAAE,CAAC,KAAKF,EAAE,MAAMC,EAAE,MAAM,MAAMA,EAAE,KAAK,EAAE,GAAGA,EAAE,QAAQ,SAAS,CAAC,IAAIU,EAAE,IAAI,QAAQ,MAAMC,GAAG,CAAC,IAAIC,EAAE,MAAMZ,EAAE,MAAM,EAAEa,EAAED,EAAE,OAAO,CAAC,EAAEyE,IAAI,EAAEA,EAAE,OAAO,CAAC,EAAEklB,GAAG3pB,EAAE,OAAOE,EAAE,IAAI,WAAWD,CAAC,EAAEmB,EAAE,EAAE,QAAQ,EAAE,EAAE,EAAEpB,EAAE,OAAO,IAAI,CAAC,IAAIyE,EAAEzE,EAAE,GAAGiC,EAAE,IAAI,WAAW,IAAI,YAAY,CAACwC,EAAE,MAAM,CAAC,EAAE,MAAM,EAAEvE,EAAE,IAAI+B,EAAEb,CAAC,EAAEA,GAAGuoB,GAAGzpB,EAAE,IAAIuE,EAAErD,CAAC,EAAEA,GAAGqD,EAAE,MAAM,CAAC1E,EAAEG,CAAC,CAAC,CAAC,EAAE1C,EAAE,KAAKsC,CAAC,CAAC,MAAMtC,EAAE,KAAK4B,EAAE,KAAK,CAAC,EAAE,GAAG,OAAOC,EAAE,MAAM,GAAGjC,EAAE,KAAKiC,CAAC,CAAC,CAAC,IAAI,EAAE,MAAM,QAAQ,IAAI7B,CAAC,EAAE,MAAM,CAAC,KAAKqsB,GAAG,CAAC,EAAE,MAAMzsB,CAAC,CAAC,CAAC,SAAS0sB,GAAG5sB,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEI,EAAEC,EAAE,EAAE,QAAQ,KAAK,EAAE,CAAC,IAAI,EAAE,EAAE,KAAK0B,EAAE,EAAE,MAAMC,EAAE,EAAE,MAAMC,EAAEiW,GAAGlW,CAAC,EAAEU,EAAE,GAAG,iBAAiB,EAAE,CAAC,IAAIC,EAAE,EAAE,aAAa,GAAGA,EAAE,QAAQ,SAASA,EAAE,QAAQ,UAAU,GAAG,EAAE,QAAQA,GAAG,UAAUA,GAAG,MAAM,IAAI,MAAM,UAAU,EAAE,0BAA0BA,EAAE,0DAA0D,UAAUA,EAAE,QAAQ,WAAW,GAAGZ,IAAI,UAAU,MAAM,IAAI,MAAM,UAAU,EAAE,0BAA0BY,EAAE,yDAAyDZ,IAAI,MAAO,OAAM,IAAI,MAAM,UAAU,EAAE,uCAAuCY,EAAE,6EAA6E,EAAE,IAAIC,EAAE0pB,GAAG3pB,EAAE,OAAOE,EAAE/C,EAAE,MAAMO,EAAEA,EAAE4B,EAAEW,CAAC,EAAEE,EAAEH,EAAE,QAAQ,QAAQ,IAAI,WAAWE,CAAC,EAAE,IAAI,YAAYA,CAAC,EAAE,GAAGd,IAAI,UAAU,GAAGY,EAAE,QAAQ,SAASA,EAAE,QAAQ,SAAS,CAACD,EAAE,IAAI,aAAaI,EAAE,MAAM,EAAE,QAAQkB,EAAE,EAAEA,EAAElB,EAAE,OAAOkB,IAAI,CAAC,IAAI,EAAElB,EAAEkB,GAAGtB,EAAEsB,GAAG,EAAErB,EAAE,MAAMA,EAAE,GAAG,CAAC,SAASA,EAAE,QAAQ,UAAUvC,IAAI,SAASA,EAAEusB,GAAG,GAAGjqB,EAAEtC,EAAE0C,CAAC,MAAO,OAAM,IAAI,MAAM,iCAAiCH,EAAE,gCAAgC,UAAUZ,IAAI,QAAQ,CAAC,GAAGY,EAAE,QAAQ,SAASA,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,iCAAiCA,EAAE,8BAA8B,EAAED,EAAE,IAAI,WAAWI,EAAE,MAAM,EAAE,QAAQkB,EAAE,EAAEA,EAAElB,EAAE,OAAOkB,IAAI,CAAC,IAAI,EAAElB,EAAEkB,GAAGtB,EAAEsB,GAAG,KAAK,MAAM,EAAErB,EAAE,MAAMA,EAAE,GAAG,CAAC,CAAC,KAAM,OAAM,IAAI,MAAM,gCAAgC,OAAOZ,GAAG,EAAE1B,GAAG4B,EAAEW,CAAC,SAASb,IAAI,SAAS,CAAC,IAAIY,EAAEuV,GAAG,EAAE,KAAK,EAAExV,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAED,EAAEC,IAAI,CAAC,IAAIC,EAAE,IAAI,YAAY/C,EAAE,MAAMO,EAAEA,EAAEksB,EAAE,CAAC,EAAE,GAAGlsB,GAAGksB,GAAG,IAAIzpB,EAAE,IAAI,WAAWhD,EAAE,MAAMO,EAAEA,EAAEwC,CAAC,CAAC,EAAEH,EAAE,KAAKI,CAAC,EAAEzC,GAAGwC,CAAC,CAAC,KAAK,CAAC,IAAIF,EAAE2pB,GAAGvqB,GAAGa,EAAE9C,EAAE,MAAMO,EAAEA,EAAE4B,EAAEU,CAAC,EAAE,GAAGZ,IAAI,UAAUW,EAAE,IAAI,aAAaE,CAAC,UAAUb,IAAI,QAAQW,EAAE,IAAI,WAAWE,CAAC,UAAUb,IAAI,OAAOW,EAAE,IAAI,WAAWE,CAAC,UAAUb,IAAI,YAAY,CAACW,EAAE,IAAI,aAAaE,CAAC,EAAE,IAAIC,EAAE,IAAI,aAAaH,EAAE,OAAO,CAAC,EAAEI,EAAE,IAAI,aAAaJ,EAAE,OAAO,CAAC,EAAE,QAAQ2E,EAAE,EAAEA,EAAExE,EAAE,OAAOwE,IAAIxE,EAAEwE,GAAG3E,EAAE2E,EAAE,GAAGvE,EAAEuE,GAAG3E,EAAE2E,EAAE,EAAE,GAAG,IAAIrD,EAAEqoB,GAAGxpB,EAAEb,EAAE,SAAS,EAAE,EAAEqqB,GAAGvpB,EAAEd,EAAE,SAAS,EAAEhC,EAAE,GAAGmsB,GAAGnoB,EAAE,CAAC,EAAEA,EAAE,QAAQ,EAAE,EAAE,QAAQ,CAAC,KAAM,OAAM,IAAI,MAAM,gCAAgC,OAAOjC,GAAG,EAAE1B,GAAG4B,EAAEU,CAAC,CAACZ,IAAI,cAAc/B,EAAE,GAAGqsB,GAAG3pB,EAAEV,EAAED,CAAC,EAAE,CAAC,OAAO/B,CAAC,CAAC,SAASysB,GAAG3sB,EAAE,CAAC,GAAGA,IAAI,KAAK,MAAM,IAAI,MAAM,wBAAwB,KAAK,UAAUA,CAAC,GAAG,EAAE,IAAI,EAAE,EAAEE,EAAE,CAAC,EAAEF,EAAE,QAAQ,GAAG,CAAC,GAAG,GAAG,EAAE,WAAWE,EAAE,KAAK,EAAE,aAAa,EAAE,OAAO,WAAW,EAAE,IAAI,EAAE,YAAY,CAAC,CAAC,EAAE,EAAE,aAAa,cAAc,aAAa,YAAY,aAAa,YAAY,MAAM,IAAI,MAAM,mCAAmC,EAAE,YAAY,MAAM,CAAC,CAAC,EAAE,IAAII,EAAE,IAAI,WAAW,CAAC,EAAEC,EAAE,EAAE,OAAOL,EAAE,QAAQ,GAAG,CAACI,EAAE,IAAI,IAAI,WAAW,EAAE,MAAM,EAAEC,CAAC,EAAEA,GAAG,EAAE,UAAU,CAAC,EAAED,EAAE,MAAM,CAAC,IAAIwsB,GAAG,OAAO,QAAQ,cAAc,OAAO,MAAM,aAAa,OAAO,MAAM,aAAa,OAAO,MAAM,aAAa,SAASC,GAAG/sB,EAAE,CAAC,OAAO8sB,GAAG,OAAO,WAAW9sB,CAAC,EAAE,IAAI,KAAK,CAACA,CAAC,CAAC,EAAE,IAAI,CAAC,SAASgtB,GAAGhtB,EAAE,CAAC,GAAG8sB,GAAG,OAAO,OAAO,KAAK9sB,CAAC,EAAE,SAAS,QAAQ,EAAE,IAAI,EAAE,IAAI,WAAWA,CAAC,EAAEE,EAAE,GAAG,QAAQI,EAAE,EAAEC,EAAE,EAAE,OAAOD,EAAEC,EAAED,IAAIJ,GAAG,OAAO,aAAa,EAAEI,EAAE,EAAE,OAAO,KAAKJ,CAAC,CAAC,CAAC,SAAS+sB,GAAGjtB,EAAE,CAAC,GAAG8sB,GAAG,CAAC,IAAIxsB,EAAE,OAAO,KAAKN,EAAE,QAAQ,EAAE,OAAOM,EAAE,OAAO,MAAMA,EAAE,WAAWA,EAAE,WAAWA,EAAE,UAAU,CAAC,CAAC,IAAI,EAAE,KAAKN,CAAC,EAAEE,EAAE,IAAI,WAAW,EAAE,MAAM,EAAE,QAAQI,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAEJ,EAAE,IAAI,CAAC,EAAE,WAAWI,CAAC,CAAC,EAAEA,CAAC,EAAE,OAAOJ,EAAE,MAAM,CAAC,SAASgtB,GAAGltB,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAOA,EAAE,GAAG,IAAI,EAAE,EAAEA,EAAE,QAAQO,GAAG,CAAC,GAAGA,EAAE,UAAU,CAAC,EAAE,IAAIL,EAAE,IAAI,WAAW,CAAC,EAAEI,EAAE,EAAE,OAAON,EAAE,QAAQO,GAAG,CAACL,EAAE,IAAI,IAAI,WAAWK,CAAC,EAAED,CAAC,EAAEA,GAAGC,EAAE,UAAU,CAAC,EAAEL,EAAE,MAAM,CAAC,SAASitB,GAAGntB,EAAE,CAAC,IAAI,EAAE,IAAI,IAAIA,EAAEA,EAAE,KAAK,EAAEA,EAAE,SAAS,CAAC,GAAGA,EAAEA,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,EAAE,IAAIE,EAAEF,EAAE,MAAM,CAAC,EAAE,OAAOE,EAAEA,EAAE,OAAO,EAAE,CAAC,SAASktB,GAAGptB,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,cAAcF,EAAE,cAAc,OAAOA,EAAE,OAAO,YAAYA,EAAE,YAAY,YAAYA,EAAE,YAAY,gBAAgB,CAAC,EAAE,OAAOA,EAAE,WAAW,OAAOE,EAAE,UAAUF,EAAE,WAAWA,EAAE,qBAAqB,OAAOE,EAAE,oBAAoBF,EAAE,qBAAqBA,EAAE,kBAAkB,OAAOE,EAAE,iBAAiBF,EAAE,kBAAkBA,EAAE,sBAAsB,OAAOE,EAAE,qBAAqBF,EAAE,sBAAsBA,EAAE,gBAAgB,OAAOE,EAAE,eAAeF,EAAE,gBAAgBE,CAAC,CAAC,SAASmtB,GAAGrtB,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,CAAC,cAAcN,EAAE,cAAc,OAAOA,EAAE,OAAO,YAAYA,EAAE,YAAY,YAAYA,EAAE,WAAW,EAAE,GAAGA,EAAE,gBAAgB,OAAOM,EAAE,eAAeN,EAAE,gBAAgBA,EAAE,iBAAiB,KAAK,CAAC,GAAG,CAAC,EAAE,MAAM,IAAI,MAAM,uDAAuD,EAAE,GAAG,CAACE,EAAE,MAAM,IAAI,MAAM,sDAAsD,EAAEI,EAAE,YAAY,EAAEA,EAAE,WAAWJ,CAAC,CAAC,OAAOF,EAAE,WAAW,OAAOM,EAAE,UAAUN,EAAE,WAAWA,EAAE,qBAAqB,OAAOM,EAAE,oBAAoBN,EAAE,qBAAqBA,EAAE,kBAAkB,OAAOM,EAAE,iBAAiBN,EAAE,kBAAkBA,EAAE,sBAAsB,OAAOM,EAAE,qBAAqBN,EAAE,sBAAsBM,CAAC,CAAC,eAAegtB,GAAGttB,EAAE,EAAE,CAAC,IAAIE,EAAEI,EAAE,OAAON,EAAE,iBAAiB,OAAO,CAACE,EAAEI,CAAC,EAAE,MAAM,EAAEN,EAAE,eAAe,GAAGqtB,GAAGrtB,EAAEE,EAAEI,CAAC,CAAC,CAAC,SAASitB,GAAGvtB,EAAE,CAAC,GAAGA,EAAE,yBAAyB,YAAY,MAAM,IAAI,MAAM,qDAAqD,EAAE,MAAM,CAAC,UAAU,IAAI,KAAK,kBAAkB,OAAO,mBAAmBA,EAAE,eAAe,KAAK,EAAE+sB,GAAG,KAAK,UAAU/sB,EAAE,aAAa,CAAC,EAAE,iBAAiBA,EAAE,aAAa,KAAK,EAAE+sB,GAAG,KAAK,UAAU/sB,EAAE,WAAW,CAAC,EAAE,gBAAgBA,EAAE,YAAY,KAAK,EAAEA,EAAE,WAAW,UAAU,CAAC,CAAC,SAASwtB,GAAGxtB,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQE,KAAKF,EAAE,EAAE,KAAK,GAAGE,EAAE,OAAO,EAAE,OAAO,CAAC,CAAC,SAASutB,IAAI,CAAC,IAAIztB,EAAEE,GAAG,CAAC,IAAII,EAAEJ,GAAG,GAAGK,EAAE,EAAE,MAAMD,EAAE,WAAW,GAAGC,GAAG,QAAQD,IAAI,EAAE,OAAOA,GAAG,SAASC,GAAG,UAAUD,EAAEC,CAAC,EAAE,EAAE,IAAI,YAAY,IAAI,EAAE,EAAE,GAAG,EAAE,QAAQL,EAAE,EAAEA,EAAE,KAAKA,IAAI,EAAEA,GAAGF,EAAEE,CAAC,EAAE,QAAQA,EAAE,KAAKA,EAAE,KAAKA,IAAI,EAAEA,GAAG,WAAWA,EAAE,MAAM,IAAI,OAAO,CAAC,CAAC,SAASwtB,IAAI,CAAC,IAAI1tB,EAAE,IAAI,YAAY,EAAE,EAAEA,EAAE,GAAG,EAAEA,EAAE,IAAI,WAAWA,EAAE,IAAI,WAAWA,EAAE,IAAI,WAAW,QAAQ,EAAE,EAAE,EAAE,GAAG,IAAIA,EAAE,GAAG,GAAG,GAAG,QAAQ,EAAE,GAAG,EAAE,GAAG,IAAIA,EAAE,GAAG,YAAY,EAAE,IAAI,IAAI,OAAOA,CAAC,CAAC,SAAS2tB,IAAI,CAAC,IAAI3tB,EAAE,IAAI,YAAY,EAAE,EAAE,QAAQ,EAAE,EAAE,EAAE,GAAG,IAAIA,EAAE,GAAG,KAAK,OAAOA,EAAE,GAAGA,EAAE,IAAI,EAAEA,CAAC,CAAC,SAAS6sB,IAAI,CAAC,IAAI7sB,EAAEytB,GAAG,EAAE,EAAEC,GAAG,EAAExtB,EAAEytB,GAAG,EAAE,OAAOrtB,GAAG,CAAC,IAAIC,EAAE,IAAI,YAAY,EAAED,EAAE,MAAM,EAAE,EAAE,IAAI,YAAYC,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAED,EAAE,OAAO,IAAI,CAAC,IAAI2B,EAAE3B,EAAE,GAAG4B,EAAElC,EAAEE,EAAE+B,GAAG,KAAKA,EAAE,OAAO,EAAEA,GAAG,IAAI,EAAE,GAAGC,CAAC,CAAC,OAAO,IAAI,aAAa3B,CAAC,CAAC,CAAC,CAAC,IAAIqtB,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,YAAY,CAAC,EAAE,KAAK,YAAY,CAAC,CAAC,CAAC,OAAO,aAAa,CAAC,OAAOA,GAAG,UAAU,OAAOA,GAAG,SAAS,IAAIA,IAAIA,GAAG,QAAQ,CAAC,OAAO,mBAAmB9sB,EAAE,CAAC8sB,GAAG,YAAY,EAAE,YAAY,KAAK9sB,CAAC,CAAC,CAAC,OAAO,mBAAmBA,EAAE,CAAC8sB,GAAG,YAAY,EAAE,YAAY,KAAK9sB,CAAC,CAAC,CAAC,OAAO,gBAAgBA,EAAE,CAAC,OAAO8sB,GAAG,YAAY9sB,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgBA,EAAEZ,EAAE,CAAC,OAAO0tB,GAAG,YAAY9sB,EAAE,OAAOZ,CAAC,CAAC,CAAC,OAAO,YAAYY,EAAEZ,EAAE,EAAE,CAAC,IAAIK,EAAE,CAAC,EAAE,OAAOL,IAAI,OAAO0tB,GAAG,YAAY,EAAE,YAAYA,GAAG,YAAY,EAAE,aAAa,QAAQ5rB,GAAG,CAAC,IAAIC,EAAED,EAAElB,EAAE,CAAC,EAAEmB,IAAI,MAAM1B,EAAE,KAAK0B,CAAC,CAAC,CAAC,EAAE1B,CAAC,CAAC,EAAEstB,GAAG7tB,GAAG4tB,GAAG,mBAAmB5tB,CAAC,EAAE8tB,GAAG9tB,GAAG4tB,GAAG,mBAAmB5tB,CAAC,EAAE+tB,GAAG/tB,GAAG4tB,GAAG,gBAAgB5tB,CAAC,EAAEguB,GAAG,CAAChuB,EAAE,IAAI4tB,GAAG,gBAAgB5tB,EAAE,CAAC,EAAMiuB,GAAG,eAAeC,GAAG,EAAEC,GAAG,eAAeC,GAAG,mBAAmB,SAASC,IAAI,CAAC,GAAG,CAAC5T,EAAE,EAAE,QAAQ,YAAY,EAAE,MAAM,IAAI,MAAM,yFAAyF,EAAE,IAAIza,EAAE,OAAO,QAAQ,YAAY,KAAK,OAAO,EAAEA,EAAE,WAAWA,EAAE,cAAcA,EAAE,iBAAiBA,EAAE,aAAaA,EAAE,cAAc,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,2DAA2D,EAAE,OAAO,CAAC,CAAC,SAASsuB,GAAGtuB,EAAE,CAAC,IAAI,EAAEA,EAAE,OAAO,EAAE,kBAAkBmuB,GAAG,CAAC,QAAQ,WAAW,CAAC,EAAE,EAAE,kBAAkBC,GAAG,CAAC,QAAQ,WAAW,CAAC,CAAC,CAAC,IAAIG,GAAG,KAAK,CAAC,YAAYztB,EAAE,CAAC,GAAG,KAAK,UAAUutB,GAAG,EAAEvtB,GAAG,MAAM,CAACA,EAAE,MAAM,IAAI,MAAM,gEAAgE,EAAE,KAAK,UAAUA,CAAC,CAAC,MAAM,KAAKA,EAAE,CAAC,GAAGA,EAAE,yBAAyB,YAAY,MAAM,IAAI,MAAM,0FAA0F,EAAE,OAAO,KAAK,eAAe,KAAK,UAAUA,CAAC,CAAC,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,eAAe,KAAK,SAAS,CAAC,CAAC,eAAeA,EAAEZ,EAAE,CAAC,OAAO,IAAI,QAAQ,CAAC,EAAEK,IAAI,CAAC,IAAIwB,EAAE,KAAK,UAAU,KAAKksB,GAAGC,EAAE,EAAEnsB,EAAE,gBAAgB,IAAIusB,GAAGvsB,CAAC,EAAEA,EAAE,UAAU,IAAI,CAAC,IAAIC,EAAED,EAAE,OAAO,GAAG7B,GAAG,KAAK,CAAC,IAAI+B,EAAED,EAAE,YAAYmsB,GAAG,UAAU,EAAEhsB,EAAEF,EAAE,YAAYksB,EAAE,EAAE,IAAI,KAAK,SAAS,EAAEhsB,EAAE,UAAU,IAAI,CAAC,GAAGA,EAAE,QAAQ,KAAK,OAAOH,EAAE,MAAM,EAAEzB,EAAE,IAAI,MAAM,gCAAgC,KAAK,0BAA0B,CAAC,EAAE,EAAE4B,EAAE,OAAO,cAAc,CAAC,EAAEA,EAAE,QAAQS,IAAIZ,EAAE,MAAM,EAAEzB,EAAE4B,EAAE,KAAK,GAAGF,EAAE,WAAW,IAAID,EAAE,MAAM,CAAC,KAAK,CAAC,IAAIC,EAAEsrB,GAAGrtB,CAAC,EAAEgC,EAAEF,EAAE,YAAYosB,GAAG,WAAW,EAAE,EAAElsB,EAAE,YAAYksB,EAAE,EAAExrB,EAAE,EAAE,IAAI,CAAC,UAAU,KAAK,UAAU,mBAAmBX,CAAC,CAAC,EAAE,EAAEW,EAAE,UAAU,IAAI,CAAC,EAAEZ,EAAE,YAAYmsB,GAAG,WAAW,EAAE,IAAIprB,EAAE,EAAE,YAAYorB,EAAE,EAAE,IAAI,CAAC,UAAU,KAAK,UAAU,eAAejuB,EAAE,mBAAmB+B,CAAC,CAAC,EAAEc,EAAE,UAAU,IAAI,EAAE,CAAC,mBAAmBd,CAAC,CAAC,EAAEc,EAAE,QAAQC,GAAG,CAAC,EAAEd,EAAE,YAAYksB,EAAE,EAAE,IAAI,EAAE,EAAE,OAAO,KAAK,SAAS,EAAE,EAAE,UAAU,KAAKpsB,EAAE,MAAM,EAAEzB,EAAEwC,EAAE,KAAK,GAAG,EAAE,QAAQoB,IAAInC,EAAE,MAAM,EAAEzB,EAAEwC,EAAE,KAAK,EAAE,CAAC,EAAEH,EAAE,QAAQE,IAAId,EAAE,MAAM,EAAEzB,EAAEqC,EAAE,KAAK,GAAGV,EAAE,WAAW,IAAI,CAAC,GAAG,KAAKF,EAAE,MAAM,EAAE,EAAE,WAAW,IAAIA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAED,EAAE,QAAQC,GAAGzB,EAAEwB,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAEwsB,GAAG,WAAW,eAAe,IAAIC,GAAGxuB,GAAGya,EAAE,EAAE,QAAQ,YAAY,GAAG,CAAC,MAAM,QAAQza,CAAC,GAAGA,EAAE,WAAWuuB,GAAG,UAAU,EAAEE,GAAGzuB,EAAE,MAAMuuB,GAAG,WAAW,MAAM,CAAC,EAAE,KAAKX,GAAG,mBAAmBY,EAAE,EAAEZ,GAAG,mBAAmBY,EAAE,EAAE,SAASC,GAAGzuB,EAAE,CAAC,OAAO,IAAIuuB,GAAGvuB,CAAC,CAAC,CAAC,SAAS0uB,GAAG1uB,EAAE,CAAC,OAAOA,EAAE,WAAWuuB,GAAG,UAAU,EAAEvuB,EAAE,MAAMuuB,GAAG,WAAW,MAAM,EAAEvuB,CAAC,CAAC,IAAI2uB,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,UAAUN,GAAG,CAAC,CAAC,MAAM,YAAY,CAAC,OAAO,IAAI,QAAQ,CAACvtB,EAAEZ,IAAI,CAAC,IAAI,EAAE,KAAK,UAAU,KAAK+tB,GAAGC,EAAE,EAAE,EAAE,gBAAgB,IAAII,GAAG,CAAC,EAAE,EAAE,UAAU,IAAI,CAAC,IAAI/tB,EAAE,EAAE,OAAOwB,EAAExB,EAAE,YAAY6tB,GAAG,UAAU,EAAEnsB,EAAEF,EAAE,YAAYqsB,EAAE,EAAE,OAAO,EAAEnsB,EAAE,UAAU,IAAI,CAAC,IAAIC,EAAE,CAAC,EAAE,QAAQC,KAAKF,EAAE,OAAOC,EAAEC,EAAE,WAAWA,EAAE,mBAAmBrB,EAAEoB,CAAC,CAAC,EAAED,EAAE,QAAQC,IAAI3B,EAAE,MAAM,EAAEL,EAAE+B,EAAE,KAAK,GAAGF,EAAE,WAAW,IAAIxB,EAAE,MAAM,CAAC,EAAE,EAAE,QAAQA,GAAGL,EAAE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,MAAM,YAAYY,EAAE,CAAC,OAAOA,EAAE4tB,GAAG5tB,CAAC,EAAE,IAAI,QAAQ,CAACZ,EAAE,IAAI,CAAC,IAAIK,EAAE,KAAK,UAAU,KAAK0tB,GAAGC,EAAE,EAAE3tB,EAAE,gBAAgB,IAAI+tB,GAAG/tB,CAAC,EAAEA,EAAE,UAAU,IAAI,CAAC,IAAIwB,EAAExB,EAAE,OAAOyB,EAAED,EAAE,YAAYqsB,GAAG,WAAW,EAAEnsB,EAAED,EAAE,YAAYosB,EAAE,EAAElsB,EAAED,EAAE,IAAInB,CAAC,EAAE,EAAEoB,EAAE,UAAU,IAAI,CAAC,GAAGA,EAAE,QAAQ,KAAK,OAAOH,EAAE,MAAM,EAAE,EAAE,IAAI,MAAM,gCAAgCjB,kBAAkB,CAAC,EAAE,CAAC,IAAI8B,EAAEX,EAAE,OAAOnB,CAAC,EAAE,EAAE,IAAI,CAAC,EAAEiB,EAAE,YAAYosB,GAAG,WAAW,EAAE,IAAIprB,EAAE,EAAE,YAAYorB,EAAE,EAAE,OAAOrtB,CAAC,EAAEiC,EAAE,UAAU,IAAI7C,EAAEgC,EAAE,OAAO,kBAAkB,EAAEa,EAAE,QAAQC,GAAG,EAAEd,EAAE,KAAK,CAAC,EAAEU,EAAE,UAAU,EAAEA,EAAE,QAAQE,IAAI,EAAE,EAAEf,EAAE,MAAM,EAAE,EAAEG,EAAE,KAAK,EAAE,CAAC,EAAEA,EAAE,QAAQU,IAAIb,EAAE,MAAM,EAAE,EAAEG,EAAE,KAAK,GAAGF,EAAE,WAAW,IAAI,CAAC,GAAG,KAAKD,EAAE,MAAM,EAAE,EAAE,WAAW,IAAIA,EAAE,MAAM,CAAC,CAAC,EAAExB,EAAE,QAAQwB,GAAG,EAAExB,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAMquB,GAAG,IAAIC,GAAG,sBAAsBC,GAAG,OAAOC,GAAG,iBAAiBC,GAAG,eAAeC,GAAG,cAAcC,GAAG,iBAAiB,SAASC,GAAGnvB,EAAE,CAAC,MAAM,CAAC,KAAK,CAAC6uB,GAAG7uB,EAAE8uB,EAAE,EAAE,KAAKF,EAAE,EAAE,SAAS,CAACC,GAAG7uB,EAAE+uB,EAAE,EAAE,KAAKH,EAAE,EAAE,YAAY,CAACC,GAAG7uB,EAAEgvB,EAAE,EAAE,KAAKJ,EAAE,EAAE,WAAW,CAACC,GAAG7uB,EAAEivB,EAAE,EAAE,KAAKL,EAAE,EAAE,cAAc,CAACC,GAAG7uB,EAAEkvB,EAAE,EAAE,KAAKN,EAAE,CAAC,CAAC,CAAC,SAASQ,GAAGpvB,EAAE,CAAC,QAAQ,KAAK,OAAO,OAAOA,CAAC,EAAE,OAAO,aAAa,WAAW,CAAC,CAAC,CAAC,SAASqvB,GAAGrvB,EAAE,CAAC,IAAI,EAAEA,EAAE,MAAM4uB,EAAE,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,uBAAuB5uB,GAAG,EAAE,OAAO,EAAE,MAAM,EAAE,EAAE,OAAO,CAAC,EAAE,KAAK4uB,EAAE,CAAC,CAAC,SAASU,GAAGtvB,EAAE,CAAC,OAAOA,EAAE,WAAWuvB,GAAG,UAAU,EAAEvvB,EAAE,MAAMuvB,GAAG,WAAW,MAAM,EAAEvvB,CAAC,CAAC,IAAIuvB,GAAG,KAAK,CAAC,YAAYzuB,EAAE,CAAC,GAAG,CAAC2Z,EAAE,EAAE,QAAQ,YAAY,GAAG,OAAO,QAAQ,aAAa,OAAO,OAAO,cAAc,YAAY,MAAM,IAAI,MAAM,yDAAyD,EAAE,GAAG,KAAK,GAAG,OAAO,aAAa3Z,GAAG,MAAM,CAACA,EAAE,MAAM,IAAI,MAAM,oEAAoE,EAAE,KAAK,UAAUA,EAAE,KAAK,KAAKquB,GAAG,KAAK,SAAS,CAAC,CAAC,MAAM,KAAKruB,EAAE,CAAC,GAAGA,EAAE,yBAAyB,YAAY,MAAM,IAAI,MAAM,0FAA0F,EAAE,CAAC,IAAIZ,EAAE,KAAK,UAAUY,EAAE,aAAa,EAAE,EAAE,KAAK,UAAUA,EAAE,WAAW,EAAEP,EAAEgtB,GAAGzsB,CAAC,EAAE,GAAG,CAAC,KAAK,GAAG,QAAQ,KAAK,KAAK,KAAK,KAAK,UAAUP,CAAC,CAAC,EAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,SAASL,CAAC,EAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,YAAY,CAAC,EAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,WAAW8sB,GAAGlsB,EAAE,UAAU,CAAC,EAAE,IAAIiB,EAAE,CAAC,OAAOjB,EAAE,OAAO,YAAYA,EAAE,YAAY,YAAYA,EAAE,YAAY,UAAUA,EAAE,WAAW,KAAKA,EAAE,UAAU,OAAO,oBAAoBA,EAAE,qBAAqB,KAAKA,EAAE,oBAAoB,OAAO,iBAAiBA,EAAE,kBAAkB,KAAKA,EAAE,iBAAiB,OAAO,qBAAqBA,EAAE,sBAAsB,KAAKA,EAAE,qBAAqB,OAAO,eAAeA,EAAE,gBAAgB,KAAKA,EAAE,eAAe,MAAM,EAAE,OAAO,KAAK,GAAG,QAAQ,KAAK,KAAK,cAAc,KAAK,UAAUiB,CAAC,CAAC,EAAE,CAAC,mBAAmBxB,CAAC,CAAC,OAAOwB,EAAN,CAAS,MAAMqtB,GAAG,KAAK,IAAI,EAAE,IAAI,MAAM,yBAAyB,KAAK,kHAAkH7uB,EAAE,wCAAwCA,EAAE,qCAAqCA,EAAE,kBAAkB,CAAC,CAAC,CAAC,CAAC,MAAM,MAAM,CAAC,IAAIO,EAAE,KAAK,MAAM,KAAK,GAAG,QAAQ,KAAK,KAAK,IAAI,CAAC,EAAE,GAAGA,GAAG,KAAK,MAAM,IAAI,MAAM,kDAAkD,KAAK,YAAY,EAAE,GAAGA,EAAE,oBAAoB,OAAO,MAAM,IAAI,MAAM,2EAA2E,EAAE,IAAIZ,EAAE,CAAC,EAAE,EAAE,KAAK,MAAM,KAAK,GAAG,QAAQ,KAAK,KAAK,QAAQ,CAAC,EAAE,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,4CAA4C,KAAK,wBAAwB,EAAEA,EAAE,cAAc,EAAE,IAAIK,EAAE,KAAK,MAAM,KAAK,GAAG,QAAQ,KAAK,KAAK,WAAW,CAAC,EAAE,GAAGA,GAAG,KAAK,MAAM,IAAI,MAAM,gDAAgD,KAAK,yBAAyB,EAAEL,EAAE,YAAYK,EAAE,IAAIwB,EAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,aAAa,EAAE,GAAGA,GAAG,KAAK,CAAC,IAAIE,EAAE,KAAK,MAAMF,CAAC,EAAE7B,EAAE,OAAO+B,EAAE,OAAO/B,EAAE,YAAY+B,EAAE,YAAY/B,EAAE,YAAY+B,EAAE,YAAYA,EAAE,WAAW,OAAO/B,EAAE,UAAU+B,EAAE,WAAWA,EAAE,qBAAqB,OAAO/B,EAAE,oBAAoB+B,EAAE,qBAAqBA,EAAE,kBAAkB,OAAO/B,EAAE,iBAAiB+B,EAAE,kBAAkBA,EAAE,sBAAsB,OAAO/B,EAAE,qBAAqB+B,EAAE,sBAAsBA,EAAE,gBAAgB,OAAO/B,EAAE,eAAe+B,EAAE,eAAe,CAAC,IAAID,EAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,UAAU,EAAE,GAAGA,GAAG,KAAK,MAAM,IAAI,MAAM,wDAAwD,KAAK,yBAAyB,EAAE,OAAO9B,EAAE,WAAW+sB,GAAGjrB,CAAC,EAAE9B,CAAC,CAAC,EAAEqvB,GAAG,WAAW,kBAAkB,IAAIC,GAAGxvB,GAAGya,EAAE,EAAE,QAAQ,YAAY,GAAG,CAAC,MAAM,QAAQza,CAAC,GAAGA,EAAE,WAAWuvB,GAAG,UAAU,EAAEE,GAAGzvB,EAAE,MAAMuvB,GAAG,WAAW,MAAM,CAAC,EAAE,KAAK3B,GAAG,mBAAmB4B,EAAE,EAAE5B,GAAG,mBAAmB4B,EAAE,EAAE,SAASC,GAAGzvB,EAAE,CAAC,OAAO,IAAIuvB,GAAGvvB,CAAC,CAAC,CAAC,IAAI0vB,GAAG,KAAK,CAAC,aAAa,CAAC5X,EAAE2C,EAAE,EAAE,QAAQ,YAAY,EAAE,IAAI,0CAA0C,EAAE3C,EAAE,OAAO,QAAQ,aAAa,OAAO,OAAO,cAAc,YAAY,IAAI,yDAAyD,EAAE,KAAK,GAAG,OAAO,YAAY,CAAC,MAAM,YAAY,CAAC,IAAIhX,EAAE,CAAC,EAAEZ,EAAE2uB,GAAGD,GAAG,EAAEA,GAAGE,GAAG,QAAQvuB,EAAE,EAAEA,EAAE,KAAK,GAAG,OAAO,EAAEA,EAAE,CAAC,IAAIwB,EAAE,KAAK,GAAG,IAAIxB,CAAC,EAAE,GAAGwB,EAAE,WAAW7B,CAAC,GAAG6B,EAAE,SAAS,CAAC,EAAE,CAAC,IAAIC,EAAEqtB,GAAGttB,CAAC,EAAEjB,EAAEkB,GAAG,KAAK,MAAM,KAAK,GAAG,QAAQD,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOjB,CAAC,CAAC,MAAM,YAAYA,EAAE,CAACA,EAAEwuB,GAAGxuB,CAAC,EAAE,IAAIZ,EAAEivB,GAAGruB,CAAC,EAAE,GAAG,KAAK,GAAG,QAAQZ,EAAE,IAAI,GAAG,KAAK,MAAM,IAAI,MAAM,8BAA8BY,IAAI,EAAE,IAAI,EAAE,KAAK,MAAM,KAAK,GAAG,QAAQZ,EAAE,IAAI,CAAC,EAAE,OAAOkvB,GAAGlvB,CAAC,EAAE,CAAC,CAAC,EAAMyvB,GAAG,MAAMC,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,SAAS,CAAC,CAAC,CAAC,OAAO,aAAa,CAAC,OAAOA,GAAG,UAAU,OAAOA,GAAG,SAAS,IAAIA,IAAIA,GAAG,QAAQ,CAAC,OAAO,gBAAgB9uB,EAAEZ,EAAE,CAAC4X,EAAEhX,GAAG,KAAK,IAAI,uCAAuC,EAAEA,EAAE,SAAS6uB,EAAE,IAAI7uB,EAAEA,EAAE,MAAM,EAAEA,EAAE,QAAQ6uB,EAAE,CAAC,GAAG7X,EAAEhX,EAAE,OAAO,EAAE,IAAI,qCAAqC,EAAE,IAAI,EAAE8uB,GAAG,YAAY,EAAE9X,EAAE,EAAE,SAAShX,IAAI,KAAK,IAAI,2DAA2DA,KAAK,EAAE,EAAE,SAASA,GAAGZ,CAAC,CAAC,OAAO,WAAWY,EAAE,CAAC,IAAIZ,EAAE0vB,GAAG,YAAY,EAAE,SAAS9uB,GAAG,GAAGZ,GAAG,KAAK,MAAM,IAAI,MAAM,yCAAyCY,IAAI,EAAE,OAAOZ,CAAC,CAAC,OAAO,YAAY,CAAC,OAAO,OAAO,KAAK0vB,GAAG,YAAY,EAAE,QAAQ,CAAC,CAAC,EAAE,SAASC,GAAG7vB,EAAE,CAAC,GAAGA,EAAE,QAAQ2vB,EAAE,IAAI,GAAG,MAAM,IAAI,MAAM,6EAA6EC,GAAG,WAAW,EAAE,KAAK,GAAG,GAAG,EAAE,MAAM,CAAC,OAAO5vB,EAAE,MAAM2vB,EAAE,EAAE,GAAG,KAAK3vB,EAAE,MAAM2vB,EAAE,EAAE,EAAE,CAAC,CAAC,eAAeG,GAAG9vB,EAAE,EAAEE,EAAE,GAAG,CAAC4X,EAAE9X,IAAI,EAAE,IAAI,wCAAwCA,IAAI,EAAE,IAAIM,EAAEstB,GAAG,gBAAgB5tB,CAAC,EAAE8X,EAAExX,EAAE,OAAO,EAAE,IAAI,kEAAkEN,IAAI,EAAE8X,EAAExX,EAAE,OAAO,EAAE,IAAI,yCAAyCA,EAAE,wCAAwCN,IAAI,EAAE,IAAIO,EAAED,EAAE,GAAG,EAAEstB,GAAG,gBAAgB,CAAC,EAAE9V,EAAE,EAAE,OAAO,EAAE,IAAI,uEAAuE,IAAI,EAAEA,EAAE,EAAE,OAAO,EAAE,IAAI,yCAAyCxX,EAAE,6CAA6C,IAAI,EAAE,IAAI,EAAE,EAAE,GAAG2B,EAAE4tB,GAAG7vB,CAAC,EAAE,OAAOkC,EAAE2tB,GAAG7vB,CAAC,EAAE,KAAKmC,EAAEF,IAAI4tB,GAAG7vB,CAAC,EAAE,OAAO4C,EAAE,MAAMrC,EAAE,KAAK,EAAEL,GAAGiC,GAAG,MAAMytB,GAAG,WAAW3tB,CAAC,EAAE,YAAYC,CAAC,EAAE,IAAIW,EAAE,MAAM,EAAE,KAAKD,CAAC,EAAE,OAAO1C,GAAG,CAACiC,GAAG,MAAMytB,GAAG,WAAW3tB,CAAC,EAAE,YAAYC,CAAC,EAAEW,EAAE,kBAAkB,CAAC,eAAektB,IAAI,CAAC,IAAI/vB,EAAE4vB,GAAG,WAAW,EAAE,EAAE,CAAC,EAAE,QAAQ1vB,KAAKF,EAAE,CAAC,IAAIM,EAAE,MAAMsvB,GAAG,WAAW1vB,CAAC,EAAE,WAAW,EAAE,QAAQK,KAAKD,EAAE,CAAC,IAAI,EAAEJ,EAAEyvB,GAAGpvB,EAAE,EAAE,GAAGD,EAAEC,EAAE,CAAC,CAAC,OAAO,CAAC,CAAC,eAAeyvB,GAAGhwB,EAAE,CAAC,IAAI,EAAE6vB,GAAG7vB,CAAC,EAAE,OAAO4vB,GAAG,WAAW,EAAE,MAAM,EAAE,YAAY,EAAE,IAAI,CAAC,CAAC,eAAeK,GAAGjwB,EAAE,EAAE,CAAC,OAAO8vB,GAAG9vB,EAAE,EAAE,EAAE,CAAC,CAAC,eAAekwB,GAAGlwB,EAAE,EAAE,CAAC,OAAO8vB,GAAG9vB,EAAE,EAAE,EAAE,CAAC,CAAC,IAAImwB,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,YAAY,mBAAmB,KAAK,aAAa,CAAC,EAAE,KAAK,oBAAoB,EAAE,KAAK,iBAAiB,EAAE,CAAC,MAAMrvB,EAAEZ,EAAE,CAAC,OAAO,MAAMY,EAAEZ,CAAC,CAAC,CAAC,KAAK,CAAC,OAAO,YAAY,IAAI,CAAC,CAAC,OAAOY,EAAEZ,EAAE,CAAC,GAAGA,IAAI,SAASA,IAAI,OAAO,MAAM,IAAI,MAAM,kDAAkDA,GAAG,EAAE,OAAO,KAAK,aAAa,OAAO,KAAK,YAAY,IAAI,aAAa,KAAK,YAAY,OAAOY,CAAC,CAAC,CAAC,OAAOA,EAAEZ,EAAE,CAAC,OAAO,IAAI,YAAYA,CAAC,EAAE,OAAOY,CAAC,CAAC,CAAC,iBAAiBA,EAAEZ,EAAE,CAAC,GAAG,OAAO,QAAQ,aAAa,CAACua,EAAE,EAAE,QAAQ,sBAAsB,EAAE,CAAC,WAAW3Z,EAAEZ,CAAC,EAAE,MAAM,CAAC,KAAK,aAAa,KAAKY,CAAC,EAAE,WAAW,IAAI,CAAC,OAAO,YAAY,CAAC,KAAK,KAAK,YAAY,MAAM,KAAK,aAAa,OAAO,CAAC,EAAE,GAAG,CAAC,EAAEZ,CAAC,EAAE,KAAK,mBAAmB,KAAK,iBAAiB,GAAG,OAAO,iBAAiB,UAAU,GAAG,CAAC,GAAG,EAAE,SAAS,QAAQ,EAAE,KAAK,OAAO,KAAK,YAAY,CAAC,EAAE,gBAAgB,EAAE,IAAIK,EAAE,KAAK,aAAa,EAAE,KAAK,OAAOA,EAAE,EAAE,KAAK,sBAAsB,KAAK,sBAAsB,KAAK,aAAa,SAAS,KAAK,aAAa,CAAC,EAAE,KAAK,oBAAoB,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE,GAAGka,EAAE,EAAE,IAAI,YAAY,EAAE,CAACA,EAAE,EAAE,YAAY,UAAU,IAAI0V,EAAE,EAAE,GAAG,CAACP,GAAG,gBAAgBL,GAAG,WAAW,IAAIG,EAAE,CAAC,OAAO1vB,EAAN,CAAS,CAAC,GAAG,CAAC4vB,GAAG,gBAAgBrB,GAAG,WAAW,IAAII,EAAE,CAAC,OAAO3uB,EAAN,CAAS,CAAC,CAAC,IAAIowB,GAAG,CAAC,YAAY,IAAIntB,GAAG,CAAC,EAAEotB,GAAOC,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,KAAKptB,GAAG,EAAE,KAAK,YAAY,IAAI,KAAK,KAAK,WAAW,CAAC,MAAMpC,EAAEZ,EAAE,CAAC,OAAOua,EAAE,EAAE,OAAO,OAAO,KAAKA,EAAE,EAAE,OAAO,MAAM3Z,EAAEZ,CAAC,GAAGmwB,IAAI,OAAOA,GAAGD,GAAG,YAAY,GAAGC,GAAGvvB,EAAEZ,CAAC,EAAE,CAAC,KAAK,CAAC,IAAIY,EAAE,QAAQ,OAAO,EAAE,OAAOA,EAAE,GAAG,IAAIA,EAAE,GAAG,GAAG,CAAC,OAAOA,EAAEZ,EAAE,CAAC,GAAGA,IAAI,SAASA,IAAI,OAAO,MAAM,IAAI,MAAM,sDAAsDA,GAAG,EAAE,OAAO,KAAK,YAAY,OAAOY,CAAC,CAAC,CAAC,OAAOA,EAAEZ,EAAE,CAAC,OAAOY,EAAE,SAAS,EAAE,GAAG,IAAI,KAAK,KAAK,YAAYZ,CAAC,EAAE,OAAOY,CAAC,CAAC,CAAC,EAAE2Z,EAAE,EAAE,IAAI,SAAS,GAAG,CAACA,EAAE,EAAE,IAAI,YAAY,GAAGA,EAAE,EAAE,YAAY,OAAO,IAAI6V,EAAE,EAAE,SAASC,GAAGvwB,EAAE,EAAE,UAAUE,EAAE,CAAC,OAAO,EAAE,GAAG,UAAUga,GAAGla,CAAC,EAAE,IAAIspB,GAAGtpB,EAAE,EAAEE,CAAC,CAAC,CAAC,SAASswB,GAAGxwB,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,MAAM,EAAE,GAAG,CAACkZ,GAAG,CAAC,EAAE,MAAM,IAAI,MAAM,mCAAmC,GAAG,EAAE,GAAG,IAAI,UAAUhZ,EAAE,QAAQ,UAAU,IAAI,UAAUA,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,uCAAuC,EAAE,IAAII,EAAE,CAAC,EAAEJ,CAAC,EAAEK,EAAE,CAAC,MAAM,CAAC,EAAE,OAAO2qB,EAAE,UAAUzO,GAAGnc,EAAEC,CAAC,CAAC,CAAC,IAAIkwB,GAAEtE,EAAE,CAAC,MAAMqE,EAAE,CAAC,EAAE,SAASE,GAAG1wB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,QAAQ,mBAAmB,CAAC,EAAE,OAAOkrB,EAAE,UAAU5L,GAAGpf,CAAC,CAAC,CAAC,IAAIywB,GAAGxE,EAAE,CAAC,OAAOuE,EAAE,CAAC,EAAE,SAASE,GAAG5wB,EAAE,EAAE,GAAG,CAAC,QAAQ,IAAIA,EAAE,SAAS,CAAC,CAAC,CAAC,CAACqrB,GAAG,EAAE,IAAIwF,GAAG,CAAC,OAAON,GAAG,KAAKE,GAAE,MAAME,GAAG,MAAMC,EAAE,EAAEjH,GAAGkH,EAAE,EAAE,IAAIC,GAAG,CAAC,EAAE1wB,GAAG0wB,GAAG,CAAC,aAAa,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,wBAAwB,IAAI9D,GAAG,UAAU,IAAI+C,GAAG,cAAc,IAAIrD,GAAG,cAAc,IAAIF,GAAG,WAAW,IAAIuE,GAAG,eAAe,IAAIC,GAAG,gBAAgB,IAAIlD,GAAG,yBAAyB,IAAIV,GAAG,6BAA6B,IAAID,GAAG,6BAA6B,IAAIE,GAAG,gBAAgB,IAAIQ,GAAG,eAAe,IAAIP,GAAG,KAAK,IAAI2D,GAAG,aAAa,IAAIC,GAAG,WAAW,IAAIrB,GAAG,YAAY,IAAIsB,GAAG,UAAU,IAAInB,GAAG,mBAAmB,IAAIpC,GAAG,mBAAmB,IAAID,GAAG,YAAY,IAAImC,GAAG,qBAAqB,IAAIsB,GAAG,gBAAgB,IAAIC,GAAG,oBAAoB,IAAIC,EAAE,CAAC,EAAE,IAAIC,GAAG,QAAQC,GAAG,QAAQC,GAAG,eAAe,SAASC,GAAG5xB,EAAE,CAAC,OAAO,IAAI,QAAQ,GAAG,WAAW,CAAC,CAAC,EAAE,KAAKA,CAAC,CAAC,CAAC,IAAI6xB,GAAG,KAAK,CAAC,YAAY/wB,EAAE,CAAC,GAAG,CAAC2Z,EAAE,EAAE,QAAQ,YAAY,EAAE,MAAM,IAAI,MAAM,qFAAqF,EAAE3Z,EAAE,WAAW+wB,GAAG,UAAU,IAAI/wB,EAAEA,EAAE,MAAM+wB,GAAG,WAAW,MAAM,IAAI/wB,GAAG,MAAMA,EAAE,SAAS,KAAKA,EAAE2wB,IAAI,KAAK,kBAAkB3wB,EAAE4wB,GAAG,KAAK,mBAAmB5wB,EAAE6wB,EAAE,CAAC,MAAM,KAAK7wB,EAAE,CAAC,GAAG,OAAO,UAAU,YAAY,MAAM,IAAI,MAAM,yFAAyF,EAAE,IAAIZ,EAAE,OAAO,IAAI,gBAAgB,IAAI,KAAK,CAACY,EAAE,UAAU,EAAE,CAAC,KAAK,0BAA0B,CAAC,CAAC,EAAE,GAAGA,EAAE,yBAAyB,YAAY,MAAM,IAAI,MAAM,uFAAuF,EAAE,CAAC,IAAI,EAAE,CAAC,CAAC,MAAM,CAAC,KAAK,KAAK,kBAAkB,EAAE,QAAQA,EAAE,WAAW,CAAC,EAAEP,EAAE6sB,GAAGtsB,EAAE,CAAC,EAAEiB,EAAE,OAAO,IAAI,gBAAgB,IAAI,KAAK,CAAC,KAAK,UAAUxB,CAAC,CAAC,EAAE,CAAC,KAAK,kBAAkB,CAAC,CAAC,EAAEyB,EAAE,KAAK,iBAAiB,KAAK,SAAS,cAAc,GAAG,EAAE,KAAK,gBAAgB,GAAGA,EAAE,SAAS,KAAK,kBAAkBA,EAAE,KAAKD,EAAE,MAAM6vB,GAAG,IAAI5vB,EAAE,cAAc,IAAI,WAAW,OAAO,CAAC,CAAC,EAAElB,EAAE,YAAY,KAAK,CAAC,IAAImB,EAAE,KAAK,kBAAkB,KAAK,SAAS,cAAc,GAAG,EAAE,KAAK,iBAAiBA,EAAE,SAAS,KAAK,mBAAmBA,EAAE,KAAK/B,EAAE,MAAM0xB,GAAG,IAAI3vB,EAAE,cAAc,IAAI,WAAW,OAAO,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,mBAAmBsrB,GAAGzsB,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE+wB,GAAG,WAAW,eAAe,IAAIC,GAAG,KAAK,CAAC,YAAYhxB,EAAE,CAAC,GAAGA,GAAG,MAAMA,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,wEAAwEA,GAAG,EAAE,KAAK,SAASA,EAAE,GAAG,KAAK,aAAaA,EAAE,MAAM,CAAC,CAAC,CAAC,MAAM,MAAM,CAAC,OAAO,IAAI,QAAQ,CAACA,EAAEZ,IAAI,CAAC,IAAI,EAAE,IAAI,WAAW,EAAE,OAAOK,GAAG,CAAC,IAAIwB,EAAE,KAAK,MAAMxB,EAAE,OAAO,MAAM,EAAEyB,EAAED,EAAE,cAAc,GAAGC,GAAG,KAAK,CAAC9B,EAAE,IAAI,MAAM,4CAA4C,KAAK,SAAS,MAAM,CAAC,EAAE,MAAM,CAAC,GAAG6B,EAAE,iBAAiB,KAAK,CAAC7B,EAAE,IAAI,MAAM,6CAA6C,KAAK,SAAS,MAAM,CAAC,EAAE,MAAM,CAAC,GAAG,KAAK,aAAa,SAAS,EAAE,CAACY,EAAE,CAAC,cAAckB,CAAC,CAAC,EAAE,MAAM,CAAC,IAAIE,EAAEorB,GAAGvrB,EAAEI,GAAG,KAAK,YAAYA,CAAC,CAAC,EAAErB,EAAEoB,CAAC,CAAC,EAAE,EAAE,QAAQ3B,GAAGL,EAAE,sEAAsE,KAAK,SAAS,2EAA2E,EAAE,EAAE,WAAW,KAAK,QAAQ,CAAC,CAAC,CAAC,CAAC,YAAYY,EAAE,CAAC,IAAIZ,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQ8B,KAAKlB,EAAEZ,EAAE,KAAK,GAAG8B,EAAE,OAAO,EAAE,EAAE,KAAK,GAAGA,EAAE,KAAK,EAAE,IAAIzB,EAAE,KAAK,4BAA4BO,CAAC,EAAEiB,EAAE,EAAE,IAAIC,GAAG,KAAK,gBAAgBA,EAAEzB,EAAEyB,EAAE,CAAC,EAAE,OAAO,QAAQ,IAAID,CAAC,EAAE,KAAKC,GAAG,CAAC9B,EAAEgtB,GAAGlrB,CAAC,CAAC,CAAC,CAAC,CAAC,gBAAgBlB,EAAEZ,EAAE,CAAC,OAAO,IAAI,QAAQ,CAAC,EAAEK,IAAI,CAAC,IAAIwB,EAAE,IAAI,WAAWA,EAAE,OAAOC,GAAG,CAAC,IAAIC,EAAED,EAAE,OAAO,OAAO,EAAEC,CAAC,CAAC,EAAEF,EAAE,QAAQC,GAAGzB,EAAE,6CAA6CO,KAAK,EAAEiB,EAAE,kBAAkB7B,CAAC,CAAC,CAAC,CAAC,CAAC,4BAA4BY,EAAE,CAAC,IAAIZ,EAAE,CAAC,EAAE,EAAE,KAAK,aAAa,IAAI6B,GAAGorB,GAAGprB,EAAE,IAAI,CAAC,EAAExB,EAAE,CAAC,EAAE,QAAQwB,KAAKjB,EAAEiB,EAAE,MAAM,QAAQC,GAAG,CAAC,IAAIC,EAAEkrB,GAAGnrB,CAAC,EAAE,GAAG9B,EAAE,QAAQ+B,CAAC,IAAI,GAAG,MAAM,IAAI,MAAM,uDAAuDA,IAAI,EAAE,GAAG/B,EAAE,KAAK+B,CAAC,EAAE,EAAE,QAAQA,CAAC,IAAI,GAAG,MAAM,IAAI,MAAM,8BAA8BA,qBAAqB,EAAE1B,EAAEyB,GAAG,KAAK,aAAa,EAAE,QAAQC,CAAC,EAAE,CAAC,EAAE,GAAG/B,EAAE,SAAS,KAAK,aAAa,OAAO,MAAM,IAAI,MAAM,wDAAwDA,EAAE,oDAAoD,KAAK,aAAa,UAAU,EAAE,OAAOK,CAAC,CAAC,EAAEwxB,GAAG/xB,GAAGya,EAAE,EAAE,QAAQ,YAAY,GAAG,CAAC,MAAM,QAAQza,CAAC,GAAGA,EAAE,WAAW6xB,GAAG,UAAU,EAAEG,GAAGhyB,EAAE,MAAM6xB,GAAG,WAAW,MAAM,CAAC,EAAE,KAAKjE,GAAG,mBAAmBmE,EAAE,EAAE,SAASC,GAAGhyB,EAAE,QAAQ,CAAC,OAAO,IAAI6xB,GAAG7xB,CAAC,CAAC,CAAC,SAAS+wB,GAAG/wB,EAAE,CAAC,OAAO,IAAI8xB,GAAG9xB,CAAC,CAAC,CAAC,SAASiyB,GAAGjyB,EAAE,EAAEE,EAAEI,EAAE,CAAC,EAAEN,CAAC,EAAEE,EAAEA,GAAG,KAAK,EAAEA,EAAEI,EAAEA,GAAG,KAAK,EAAEA,EAAE2B,EAAE/B,EAAEI,CAAC,EAAE,IAAIC,EAAE,EAAE,EAAE2B,IAAIA,EAAE,KAAKC,GAAG,CAAC,IAAIS,EAAE1C,GAAG,EAAEK,EAAEP,EAAE,QAAQM,EAAEJ,GAAG,OAAO,EAAE0C,CAAC,EAAET,CAAC,CAAC,EAAED,GAAG,SAAS,EAAEA,EAAE,CAAC4V,EAAE5V,GAAG,MAAM,MAAM,QAAQA,CAAC,GAAGA,EAAE,OAAO,EAAE,IAAI,qCAAqC,CAAC,CAAC,SAASD,EAAEC,EAAEC,EAAE,CAAC2V,EAAE5V,GAAG,GAAGA,GAAG,EAAE,IAAI,oEAAoEA,GAAG,EAAE4V,EAAE3V,GAAG,GAAGA,GAAG,EAAE,IAAI,kEAAkEA,GAAG,EAAE2V,EAAE3V,GAAGD,EAAE,IAAI,yEAAyEA,qBAAqBC,GAAG,CAAC,CAAC,OAAO,QAAQ,IAAInC,EAAE,IAAI,CAAC,CAAC,CAAC,CAAC,eAAekyB,GAAGlyB,EAAE,EAAE,CAAC,GAAG,OAAO,EAAE,CAAC,GAAG,IAAIE,EAAE,EAAE,WAAW,KAAKua,EAAE,EAAE,SAAS,MAAM,EAAE,UAAUna,EAAEN,EAAE,IAAI6C,GAAG3C,EAAE2C,EAAE,EAAE,YAAY,CAAC,SAAS,EAAE,CAAC,CAAC,EAAEtC,EAAE,EAAE,EAAE,GAAG0B,GAAG,EAAE,YAAY,KAAK,MAAM,QAAQ,IAAI3B,CAAC,EAAE,MAAM2xB,GAAG3xB,EAAE,EAAE,WAAWC,EAAE,CAAC,GAAG,IAAIsC,GAAGA,EAAE,YAAY,CAAC,EAAEX,EAAE,GAAG,EAAE,EAAE,OAAO,EAAE,YAAY,KAAK,MAAM,QAAQ,IAAID,CAAC,EAAE,MAAMgwB,GAAGhwB,EAAE,EAAE,WAAWC,EAAE,CAAC,CAAC,CAAC,eAAemvB,GAAGrxB,EAAE,EAAE,GAAGE,EAAEI,EAAE,CAAC,OAAOgxB,GAAGtvB,GAAGkwB,GAAGlwB,EAAE,CAAC,YAAY1B,CAAC,CAAC,CAAC,EAAEN,EAAE,EAAEE,CAAC,CAAC,CAAC,SAASoxB,GAAGtxB,EAAE,CAAC,MAAO,OAAM,EAAEE,EAAE,GAAGI,IAAI,CAAC,IAAIC,EAAE,EAAE,IAAI,IAAI,EAAE,EAAE,EAAE,CAAC,EAAE,EAAED,GAAG,KAAKA,EAAE,IAAI,IAAI,EAAE,EAAE,CAAC,EAAE2B,EAAE,CAAC,EAAE,GAAG,EAAE,QAAQ,CAACc,EAAEC,IAAI,CAAC,IAAIkB,EAAE,EAAEnB,EAAE,QAAQ,QAAQ,GAAG,CAAC,IAAIwE,EAAE,iBAAiB,EAAE,EAAE,aAAa,MAAM,EAAE,MAAMxC,EAAEynB,GAAGjlB,GAAG6Q,GAAG,EAAE,KAAK,EAAEzT,EAAE,IAAI,CAACpE,EAAEyC,GAAG,GAAG,EAAEA,IAAI,OAAO,EAAEA,GAAG,CAAC,GAAG,EAAEA,GAAG,KAAK,CAAC,cAAc,EAAE,YAAYkB,EAAE,UAAUa,CAAC,CAAC,CAAC,EAAEzE,GAAG,KAAKA,EAAE,QAAQ,CAACsE,EAAEC,IAAI,CAACD,IAAI,EAAE,OAAOD,EAAE,EAAE,EAAEE,GAAG,GAAG,CAAC,EAAEF,EAAE,EAAE1C,EAAE,KAAK,EAAE,IAAI,EAAEiC,GAAGa,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,MAAMhC,GAAGA,CAAC,EAAE,CAAC,IAAIA,EAAEzC,EAAE,OAAO,CAAC0C,EAAEkB,IAAI,CAAC,EAAEA,EAAE,EAAE,MAAM,IAAI,MAAM,kDAAkDnB,EAAE,KAAK,IAAI;AAAA,wCACrmoDd,EAAE,KAAK,IAAI,IAAI,CAAC,CAAC,IAAIC,EAAE3B,EAAE,OAAO,CAACwC,EAAEC,EAAEkB,KAAKlB,GAAGD,EAAE,KAAKmB,CAAC,EAAEnB,GAAG,CAAC,CAAC,EAAEZ,EAAE,CAAC,EAAED,EAAE,QAAQa,GAAG,CAAC,EAAEA,GAAG,MAAM,QAAQC,GAAG,CAAC,IAAIkB,EAAEhE,GAAGA,EAAE,SAAS,GAAG,EAAE,GAAG,KAAK8C,EAAEb,EAAE,KAAK+B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,IAAItB,EAAE,MAAM5C,EAAEmC,CAAC,EAAEU,EAAE,CAAC,EAAEC,EAAE,EAAE,OAAOZ,EAAE,QAAQa,GAAG,CAAC,IAAIC,EAAE,EAAED,GAAG,MAAM,OAAOmB,EAAE,EAAE,QAAQU,EAAE,EAAEA,EAAE5B,EAAE4B,IAAIV,GAAGtB,EAAEE,EAAE8B,GAAG,WAAW,IAAI,EAAE,IAAI,YAAYV,CAAC,EAAEqD,EAAE,IAAI,WAAW,CAAC,EAAExC,EAAE,EAAE,QAAQH,EAAE,EAAEA,EAAE5B,EAAE4B,IAAI,CAAC,IAAIC,EAAE,IAAI,WAAWjC,EAAEE,EAAE8B,EAAE,EAAE2C,EAAE,IAAI1C,EAAEE,CAAC,EAAEA,GAAGF,EAAE,UAAU,CAAC,EAAE9B,GAAG,QAAQ6B,GAAG,CAAC,IAAIC,EAAE,EAAE,MAAMD,EAAE,YAAYA,EAAE,YAAYA,EAAE,SAAS,EAAEE,EAAE8nB,GAAG/nB,EAAE,CAACD,EAAE,aAAa,CAAC,EAAE,QAAQ4C,KAAK1C,EAAEjC,EAAE2E,GAAG1C,EAAE0C,EAAE,CAAC,EAAE1E,GAAGE,CAAC,CAAC,EAAEH,CAAC,CAAC,CAAC,IAAIsvB,GAAG,2BAA2BC,GAAG,mBAAmBC,GAAG,KAAK,CAAC,YAAYvxB,EAAEZ,EAAE,CAAC,GAAG,KAAK,eAAe,OAAOA,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,iBAAiBA,EAAE,iBAAiB,KAAK,WAAWA,EAAE,WAAW,KAAK,mBAAmBA,EAAE,mBAAmBA,EAAE,WAAW,MAAM4X,EAAE,OAAO5X,EAAE,WAAW,WAAW,IAAI,6HAA6H,EAAE,KAAK,MAAMA,EAAE,WAAW,KAAK,MAAMua,EAAE,EAAE,SAAS,MAAM3C,EAAEhX,GAAG,MAAMA,EAAE,OAAO,EAAE,IAAI,yDAAyD,EAAE,MAAM,QAAQA,CAAC,GAAGgX,EAAEhX,EAAE,SAAS,EAAE,IAAI,iEAAiEA,EAAE,UAAU,EAAE,KAAK,KAAKA,EAAEZ,EAAE,aAAa,MAAMA,EAAE,YAAY,MAAM,KAAK,MAAM,IAAI,MAAM,oEAAoE,EAAE,KAAK,YAAYA,EAAE,aAAa,CAAC,CAAC,CAAC,MAAM,KAAKY,EAAE,CAAC,GAAGA,EAAE,yBAAyB,YAAY,MAAM,IAAI,MAAM,yFAAyF,EAAE,IAAIZ,EAAE,OAAO,OAAO,CAAC,OAAO,KAAK,cAAc,EAAE,KAAK,WAAW,EAAEA,EAAE,KAAK,IAAI,SAAS,IAAI,EAAE,CAAC,CAAC,MAAM,CAAC,qBAAqB,EAAE,QAAQY,EAAE,WAAW,CAAC,EAAEP,EAAE6sB,GAAGtsB,EAAE,CAAC,EAAEZ,EAAE,KAAK,OAAO,aAAa,IAAI,KAAK,CAAC,KAAK,UAAUK,CAAC,CAAC,EAAE,CAAC,KAAK6xB,EAAE,CAAC,EAAE,YAAY,EAAEtxB,EAAE,YAAY,MAAMZ,EAAE,KAAK,OAAO,oBAAoB,IAAI,KAAK,CAACY,EAAE,UAAU,EAAE,CAAC,KAAKqxB,EAAE,CAAC,EAAE,mBAAmB,EAAE,IAAIpwB,EAAE,MAAM,KAAK,MAAM,KAAK,KAAK7B,CAAC,EAAE,GAAG6B,EAAE,GAAG,MAAM,CAAC,mBAAmBwrB,GAAGzsB,CAAC,EAAE,UAAU,CAACiB,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,gEAAgEA,EAAE,SAAS,CAAC,CAAC,MAAM,MAAM,CAAC,IAAIjB,EAAE,MAAM,KAAK,MAAM,KAAK,KAAK,KAAK,WAAW,EAAE,GAAG,CAACA,EAAE,GAAG,MAAM,IAAI,MAAM,cAAc,KAAK,gCAAgCA,EAAE,+EAA+E,EAAE,IAAIZ,EAAE,GAAG,CAACA,EAAE,MAAMY,EAAE,KAAK,CAAC,OAAOiB,EAAN,CAAS,IAAIC,EAAE,+CAA+C,KAAK,QAAQ,MAAM,KAAK,KAAK,SAAS,KAAK,EAAEA,GAAG,+UAA+UA,GAAG,uEAAuE,IAAI,MAAMA,CAAC,CAAC,CAAC,IAAI,EAAE9B,EAAE,cAAcK,EAAEL,EAAE,gBAAgB,GAAG,GAAG,MAAMK,GAAG,KAAK,MAAM,IAAI,MAAM,2BAA2B,KAAK,+DAA+D,EAAE,OAAO+sB,GAAGptB,EAAE6B,GAAG,KAAK,YAAYA,CAAC,CAAC,CAAC,CAAC,MAAM,YAAYjB,EAAE,CAAC,IAAIZ,EAAE,MAAM,QAAQ,KAAK,IAAI,EAAE,KAAK,KAAK,GAAG,KAAK,KAAK,CAAC,EAAEK,CAAC,EAAE+xB,GAAGpyB,CAAC,EAAE6B,EAAE,KAAK,kBAAkB,EAAEC,EAAEwrB,GAAG1sB,CAAC,EAAEmB,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,QAAQU,KAAK9B,EAAE,QAAQ,KAAK8B,EAAE,MAAM,KAAK,oBAAoB,KAAKV,EAAE,KAAK,KAAK,mBAAmB,CAAC,CAAC,EAAED,EAAE,KAAKF,EAAE,EAAExB,CAAC,EAAE,KAAK,oBAAoB0B,EAAE,KAAK,GAAG,MAAM,QAAQ,IAAIC,CAAC,CAAC,EAAE,IAAI,EAAE,MAAMgwB,GAAGjwB,EAAE,CAAC,YAAY,KAAK,YAAY,UAAU,KAAK,MAAM,WAAW,KAAK,UAAU,CAAC,EAAE,MAAM,CAACD,EAAEkrB,GAAG,CAAC,CAAC,CAAC,CAAC,EAAEmF,GAAG,iBAAiB,eAAe,SAASC,GAAGtyB,EAAE,CAAC,IAAI,EAAEA,EAAE,YAAY,GAAG,EAAEE,EAAEF,EAAE,YAAY,GAAG,EAAEM,EAAEN,EAAE,UAAU,EAAE,CAAC,EAAEO,EAAEL,EAAE,EAAEF,EAAE,UAAUE,CAAC,EAAE,GAAG,MAAM,CAACI,EAAE,IAAIC,CAAC,CAAC,CAAC,SAAS6wB,GAAGpxB,EAAE,CAAC,OAAOA,EAAE,MAAMqyB,GAAG,gBAAgB,GAAG,IAAI,CAAC,IAAIE,GAAG,CAACvyB,EAAE,IAAI,CAAC,GAAG,OAAO,OAAO,cAAc,GAAG,MAAM,EAAE,WAAW,MAAM,OAAO,KAAK,CAAC,IAAIE,EAAE,GAAG,GAAG,MAAM,QAAQF,CAAC,EAAEE,EAAEF,EAAE,MAAMM,GAAG8wB,GAAG9wB,CAAC,CAAC,EAAEJ,EAAEkxB,GAAGpxB,CAAC,EAAEE,EAAE,OAAOixB,GAAGnxB,EAAE,CAAC,CAAC,CAAC,OAAO,IAAI,EAAE4tB,GAAG,mBAAmB2E,EAAE,EAAE3E,GAAG,mBAAmB2E,EAAE,EAAE,SAASpB,GAAGnxB,EAAE,EAAE,CAAC,OAAO,IAAIqyB,GAAGryB,EAAE,CAAC,CAAC,CAAC,SAASgxB,GAAGhxB,EAAE,EAAE,CAAC,OAAOmxB,GAAGnxB,EAAE,CAAC,CAAC,CAAC,IAAIwyB,GAAG,KAAK,CAAC,YAAY1xB,EAAE,CAAC,KAAK,eAAeA,CAAC,CAAC,MAAM,CAAC,OAAO,KAAK,cAAc,CAAC,EAAE2xB,GAAG,KAAK,CAAC,YAAY3xB,EAAE,CAAC,KAAK,YAAYA,CAAC,CAAC,KAAKA,EAAE,CAAC,OAAO,KAAK,YAAYA,CAAC,CAAC,CAAC,EAAE4xB,GAAG,KAAK,CAAC,YAAY5xB,EAAE,CAACA,EAAE,OAAO,KAAK,KAAK,IAAI,QAAQ,QAAQA,EAAE,KAAK,CAAC,GAAGA,EAAE,OAAO,KAAK,KAAKZ,GAAG,QAAQ,QAAQY,EAAE,KAAKZ,CAAC,CAAC,EAAE,CAAC,EAAE,SAAS+wB,GAAGjxB,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAE,UAAU,OAAO,IAAImyB,GAAGxB,GAAG,GAAG3wB,CAAC,CAAC,CAAC,CAAC,SAAS2wB,GAAGlxB,EAAE,EAAEE,EAAEI,EAAE,CAAC,OAAO,UAAU,SAAS,EAAEN,EAAE,eAAe,MAAMA,EAAE,aAAa,KAAK,IAAIwyB,GAAGxyB,CAAC,GAAG,QAAQ,KAAK,uNAAuN,EAAE,IAAIwyB,GAAG,CAAC,cAAcxyB,CAAC,CAAC,IAAI,QAAQ,KAAK,uNAAuN,EAAE,IAAIwyB,GAAG,CAAC,cAAcxyB,EAAE,YAAY,EAAE,WAAWE,EAAE,eAAeI,CAAC,CAAC,EAAE,CAAC,SAASixB,GAAGvxB,EAAE,CAAC,OAAO,IAAIyyB,GAAGzyB,CAAC,CAAC,CAAC,SAASwxB,GAAGxxB,EAAE,CAAC,OAAO,IAAIyyB,GAAGzyB,CAAC,CAAC,CAAC,IAAI2yB,GAAG,CAAC,EAAEvyB,GAAGuyB,GAAG,CAAC,gBAAgB,IAAIC,EAAE,CAAC,EAAE,SAASC,GAAG7yB,EAAE,EAAEE,EAAE,GAAGI,EAAE,GAAG,CAAC,IAAIC,EAAEyrB,EAAEhsB,EAAE,IAAI,QAAQ,EAAE,EAAEgsB,EAAE,EAAE,IAAI,QAAQ,EAAE,CAACzrB,EAAE,CAAC,EAAE6pB,GAAG7pB,EAAE,CAAC,EAAE,IAAI,EAAE,CAAC,EAAEA,EAAE,EAAE,CAAC,EAAE0B,EAAE,CAAC,WAAW/B,EAAE,WAAWI,CAAC,EAAE,OAAO4qB,EAAE,UAAU9O,GAAG,EAAEna,CAAC,CAAC,CAAC,IAAI6wB,GAAG3G,EAAE,CAAC,QAAQ0G,EAAE,CAAC,EAAE,SAASE,GAAG/yB,EAAE,EAAEE,EAAE,EAAEI,EAAE,EAAEC,EAAE,QAAQ,CAAC,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,iDAAiD,GAAG,EAAE,IAAIyB,EAAE,CAAC,QAAQgqB,EAAEhsB,EAAE,UAAU,SAAS,OAAO,CAAC,EAAEiC,EAAE,CAAC,MAAM1B,EAAE,MAAM,EAAE,QAAQL,EAAE,SAASI,CAAC,EAAE,OAAO4qB,EAAE,UAAUpJ,GAAG9f,EAAEC,CAAC,CAAC,CAAC,IAAI+wB,GAAG7G,EAAE,CAAC,QAAQ4G,EAAE,CAAC,EAAE,SAASE,IAAK,CAACxY,EAAE,EAAE,IAAI,OAAO,EAAE,CAAC,CAAC,SAASyY,IAAK,CAACzY,EAAE,EAAE,IAAI,QAAQ,EAAE,CAAC,CAAC,SAAS0Y,IAAK,CAAC1Y,EAAE,EAAE,IAAI,+BAA+B,EAAE,EAAE,QAAQ,KAAK,wDAAwD,CAAC,CAAC,SAAS2Y,GAAGpzB,EAAE,CAACya,EAAE,EAAE,QAAQ,8BAA8B,GAAG,QAAQ,KAAKza,EAAE,6EAA6E,CAAC,CAAC4pB,GAAGwJ,EAAE,EAAE,SAASC,IAAK,CAACnI,EAAE,iBAAiB,CAAC,CAAC,SAASoI,IAAI,CAAC,OAAOpI,CAAC,CAAC,SAASqI,IAAI,CAAC,OAAOrI,EAAE,OAAO,CAAC,CAAC,SAASsI,GAAIxzB,EAAE,CAAC,OAAOkrB,EAAE,QAAQlrB,CAAC,CAAC,CAAC,SAASyzB,EAAEzzB,EAAE,EAAE,CAAC,OAAOkrB,EAAE,KAAKlrB,EAAE,CAAC,CAAC,CAAC,SAAS0zB,GAAG1zB,EAAE,CAACkqB,GAAGlqB,CAAC,EAAE,QAAQE,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,SAASyzB,GAAG3zB,EAAE,CAAC,OAAOkrB,EAAE,KAAKlrB,CAAC,CAAC,CAAC,SAAS4zB,GAAI5zB,EAAE,CAAC,OAAOkrB,EAAE,KAAKlrB,CAAC,CAAC,CAAC,SAAS6zB,GAAG7zB,EAAE,CAAC,OAAOkrB,EAAE,WAAWlrB,CAAC,CAAC,CAAC,SAAS8zB,IAAK,CAAC,OAAO5I,EAAE,MAAM,CAAC,CAAC,SAAS6I,IAAK,CAAC,OAAO7I,EAAE,WAAW,CAAC,SAAS8I,GAAIh0B,EAAE,CAACkrB,EAAE,cAAclrB,CAAC,CAAC,CAAC,SAASi0B,GAAIj0B,EAAE,CAAC,OAAOkrB,EAAE,YAAYlrB,CAAC,CAAC,CAAC,SAASk0B,GAAIl0B,EAAE,CAAC,OAAOkrB,EAAE,mBAAmBlrB,CAAC,CAAC,CAAC,SAASm0B,GAAGn0B,EAAE,EAAEE,EAAE,EAAE,CAAC,OAAOgrB,EAAE,gBAAgBlrB,EAAE,EAAEE,CAAC,CAAC,CAAC,SAASk0B,IAAI,CAAC,OAAOlJ,EAAE,OAAO,CAAC,SAASmJ,GAAIr0B,EAAE,EAAE,CAACya,EAAE,EAAE,YAAYza,EAAE,CAAC,CAAC,CAAC,SAASs0B,GAAGt0B,EAAE,CAAC,IAAIE,EAAE,CAAC,MAAM8rB,EAAEhsB,EAAE,QAAQ,MAAM,CAAC,EAAE,OAAOkrB,EAAE,UAAU1L,GAAGtf,CAAC,CAAC,CAAC,IAAIq0B,GAAGpI,EAAE,CAAC,MAAMmI,EAAE,CAAC,EAAE,SAASE,GAAGx0B,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,KAAK,CAAC,EAAE,OAAOkrB,EAAE,UAAU1J,GAAGthB,CAAC,CAAC,CAAC,IAAIu0B,GAAGtI,EAAE,CAAC,KAAKqI,EAAE,CAAC,EAAE,SAASE,GAAG10B,EAAE,CAAC,IAAIE,EAAE,CAAC,MAAM8rB,EAAEhsB,EAAE,QAAQ,MAAM,CAAC,EAAE,OAAOkrB,EAAE,UAAUzI,GAAGviB,CAAC,CAAC,CAAC,IAAIy0B,GAAGxI,EAAE,CAAC,MAAMuI,EAAE,CAAC,EAAE,SAASE,GAAG50B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE0rB,EAAEhsB,EAAE,IAAI,WAAW,EAAE,GAAG,GAAG,OAAO,EAAEM,EAAE,MAAM,IAAI,CAAC,EAAE2B,IAAIA,CAAC,EAAE,QAAQ,GAAG6V,EAAExX,EAAE,OAAO,EAAE,OAAO,IAAI,qCAAqCA,EAAE,kCAAkC,IAAI,EAAE,EAAE,QAAQ,GAAG,CAACwX,EAAE,GAAG,GAAG,EAAExX,EAAE,KAAK,IAAI,+CAA+CA,EAAE,KAAK,aAAa,GAAG,CAAC,CAAC,EAAEA,EAAE,MAAM,EAAE,OAAOA,EAAE,MAAM,EAAE,IAAIC,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAE,OAAOA,EAAE,QAAQ,YAAYmzB,EAAE,IAAI,CAAC,IAAI,EAAEkB,GAAGr0B,CAAC,EAAE2B,EAAEsyB,GAAGj0B,CAAC,EAAE,OAAO,EAAE4qB,EAAE,UAAU7F,GAAG,CAAC,EAAE,CAAC,EAAE,CAAC,EAAEpjB,EAAEipB,EAAE,UAAU7F,GAAG,CAAC,EAAEpjB,CAAC,EAAE,CAAC,EAAE/B,IAAI+B,EAAEwyB,GAAGxyB,CAAC,GAAGoqB,GAAG,EAAEpqB,CAAC,CAAC,CAAC,EAAEipB,EAAE,UAAU7F,GAAG9kB,EAAE,CAAC,CAAC,CAAC,IAAIs0B,GAAG1I,EAAE,CAAC,WAAWyI,EAAE,CAAC,EAAE,SAASE,GAAG90B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE0rB,EAAEhsB,EAAE,SAAS,iBAAiB,EAAEO,EAAEyrB,EAAE,EAAE,cAAc,iBAAiB,EAAElU,EAAE5X,GAAG,MAAMA,EAAE,GAAG,OAAO,UAAUA,CAAC,EAAE,IAAI,+DAA+DA,GAAG,EAAE4X,EAAExX,EAAE,OAAO,EAAE,IAAI,gDAAgDA,EAAE,MAAM,EAAEwX,EAAEvX,EAAE,OAAO,EAAE,IAAI,qDAAqDA,EAAE,MAAM,EAAEuX,EAAExX,EAAE,MAAM,KAAKC,EAAE,MAAM,GAAG,IAAI,uCAAuCD,EAAE,MAAM,UAAUC,EAAE,MAAM,qEAAqE,EAAEuX,EAAE5X,EAAE,GAAG,OAAO,UAAUA,CAAC,EAAE,IAAI,4DAA4DA,GAAG,EAAE,IAAI,EAAE8yB,GAAGvC,GAAEnwB,EAAE,OAAO,EAAEJ,CAAC,EAAE,EAAE8yB,GAAGvC,GAAElwB,EAAE,OAAO,EAAEL,CAAC,EAAE+B,EAAE4yB,GAAG,CAAC,EAAE3yB,EAAE4wB,GAAG7wB,EAAE,CAAC,EAAE,OAAOwuB,GAAEvuB,EAAE,OAAO,CAAC,CAAC,IAAI0wB,GAAGzG,EAAE,CAAC,iBAAiB2I,EAAE,CAAC,EAAMC,GAAG,CAAC,EAAE30B,GAAG20B,GAAG,CAAC,2BAA2B,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,iBAAiB,IAAIC,EAAE,CAAC,EAAE,SAASD,GAAGj1B,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,OAAOM,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEL,EAAEK,IAAI,CAAC,IAAI,EAAEL,EAAE,EAAEK,EAAE,EAAEP,EAAE,IAAI,GAAG,EAAE,EAAE,OAAO,EAAEO,IAAI,GAAG,GAAG,IAAI,GAAGD,EAAE,QAAQ,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,SAAS40B,GAAGl1B,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,CAAC,IAAIC,EAAEP,EAAEA,EAAE,OAAOM,EAAE,GAAG,EAAE,EAAE,OAAOA,EAAE,EAAE,EAAE,EAAE,IAAIC,GAAG,MAAMA,IAAI,GAAG,EAAE,IAAIL,EAAE,QAAQ,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,SAAS80B,GAAGh1B,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEI,EAAE,KAAK,IAAIN,EAAE,OAAO,EAAE,MAAM,EAAE,QAAQO,EAAE,EAAEA,EAAED,EAAEC,IAAI,CAAC,IAAI,EAAEP,EAAEA,EAAE,OAAOO,EAAE,GAAG,GAAG,OAAO,EAAE,GAAG,IAAI,EAAE,EAAE,EAAE,OAAOA,EAAE,GAAG,GAAG,GAAG,OAAO,EAAE,GAAG,IAAI,EAAEL,EAAE,QAAQ,CAAC,UAAU,IAAI,EAAEA,EAAE,QAAQ,CAAC,UAAU,IAAI,EAAE,CAAC,IAAI+B,EAAE,wDAAwDjC,SAAS,KAAK,MAAM,MAAMiC,CAAC,CAAC,MAAM/B,EAAE,QAAQ,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,IAAIi1B,GAAG,CAAC,EAAE/0B,GAAG+0B,GAAG,CAAC,WAAW,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,SAAS,IAAIC,EAAE,CAAC,EAAE,SAASC,GAAGv1B,EAAE,EAAEE,EAAE,CAAC,GAAG+X,GAAGjY,CAAC,EAAE,GAAG,MAAM,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,iDAAiD,EAAE,IAAIM,EAAEurB,GAAG7rB,EAAEE,CAAC,EAAE,GAAGI,EAAE,SAAS,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,kEAAkE,EAAE,GAAGA,EAAE,SAAS,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,yEAAyE,EAAE,OAAOgsB,GAAGtsB,EAAE,EAAEM,EAAEJ,CAAC,CAAC,CAAC,IAAIs1B,GAAG,SAASC,GAAGz1B,EAAE,EAAE,EAAE,CAAC,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,gEAAgE,EAAE,GAAGA,GAAG,KAAK,MAAM,IAAI,MAAM,0DAA0D,EAAE,IAAIE,EAAE,GAAGI,EAAE,GAAGC,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG0B,EAAE,GAAG,GAAGjC,EAAE,gBAAgB,WAAWE,EAAE,WAAW,OAAO,WAAW,aAAaF,aAAa,UAAUM,EAAE,WAAW,OAAO,kBAAkB,aAAaN,aAAa,iBAAiBO,EAAE,WAAW,OAAO,kBAAkB,aAAaP,aAAa,iBAAiB,EAAE,WAAWA,EAAE,YAAY,KAAK,EAAE,WAAW,OAAO,aAAa,aAAaA,aAAa,YAAYiC,EAAE,OAAQ,OAAM,IAAI,MAAM,qPAAqPjC,EAAE,YAAY,MAAM,EAAE,GAAGqmB,GAAGT,GAAGsF,EAAE,WAAW,GAAG,KAAK,CAAC,IAAIloB,EAAE,CAAC,OAAOhD,CAAC,EAAE,EAAE,CAAC,YAAY,CAAC,EAAE,OAAOkrB,EAAE,UAAUtF,GAAG5iB,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,EAAEJ,CAAC,EAAErC,EAAE,CAACP,EAAE,WAAWA,EAAE,WAAW,EAAE,CAACA,EAAE,MAAMA,EAAE,MAAM,EAAE,EAAE,GAAG,EAAE,EAAEA,EAAE,WAAW,IAAI,EAAE,aAAa,EAAE,EAAE,EAAE4C,CAAC,EAAE,aAAatC,GAAGJ,EAAE,EAAEF,EAAE,aAAa,GAAGO,GAAG0B,EAAE,CAAC,GAAGuzB,IAAI,KAAK,GAAG,OAAO,UAAU,YAAY,GAAG,OAAO,iBAAiB,aAAa,OAAO,mCAAmC,YAAYA,GAAG,IAAI,gBAAgB,EAAE,CAAC,EAAE,WAAW,IAAI,MAAO,OAAM,IAAI,MAAM,sGAAsG,OAAOA,GAAG,SAAS,cAAc,QAAQ,EAAE,WAAW,KAAK,CAAC,mBAAmB,EAAE,CAAC,EAAEA,GAAG,OAAO,MAAM,EAAEA,GAAG,OAAO,OAAO5yB,EAAE4yB,GAAG,UAAUx1B,EAAE,EAAE,EAAE,EAAE4C,CAAC,EAAE,EAAE4yB,GAAG,aAAa,EAAE,EAAE,EAAE5yB,CAAC,EAAE,IAAI,CAAC,IAAIE,EAAE,GAAG,IAAI,EAAEA,EAAE,IAAI,WAAW,CAAC,MAAM,CAAC,IAAIE,EAAE,EAAEJ,EAAEE,EAAE,IAAI,WAAWE,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,IAAI,QAAQmB,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAErB,EAAE,EAAE,EAAEqB,GAAG,EAAE,EAAE,EAAEA,EAAE,CAAC,OAAOoxB,GAAGzyB,EAAE,CAACF,EAAE,EAAE,CAAC,EAAE,OAAO,CAAC,CAAC,SAAS8yB,GAAG11B,EAAE,CAAC,OAAOA,GAAG,MAAMA,EAAE,gBAAgB,UAAU,CAAC,SAAS21B,IAAI,CAAC,OAAO,OAAO,QAAQ,aAAa,OAAO,aAAa,aAAa,OAAO,eAAe,mBAAmB,CAAC,CAAC,SAASC,GAAG51B,EAAE,CAAC,OAAOA,GAAG,MAAMA,EAAE,QAAQ,GAAGA,EAAE,SAAS,CAAC,CAAC,SAAS61B,GAAG71B,EAAE,CAAC,OAAO21B,GAAG,GAAG,EAAE31B,aAAa,cAAc41B,GAAG51B,CAAC,GAAG,CAAC01B,GAAG11B,CAAC,CAAC,CAAC,eAAeq1B,GAAGr1B,EAAE,EAAE,EAAE,CAAC,IAAIE,EAAE,KAAK,GAAGua,EAAE,EAAE,QAAQ,qBAAqB,GAAGob,GAAG71B,CAAC,EAAE,CAAC,IAAIM,EAAE,GAAG,CAACA,EAAE,MAAM,kBAAkBN,EAAE,CAAC,iBAAiB,MAAM,CAAC,CAAC,OAAOO,EAAN,CAASD,EAAE,IAAI,CAACA,GAAG,MAAMA,EAAE,QAAQN,EAAE,OAAOM,EAAE,SAASN,EAAE,OAAOE,EAAEI,EAAEJ,EAAEF,CAAC,MAAME,EAAEF,EAAE,OAAOy1B,GAAGv1B,EAAE,CAAC,CAAC,CAAC,eAAeo1B,GAAGt1B,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,MAAM,UAAU,EAAE,GAAG,EAAEA,aAAa6pB,IAAI,CAAC,IAAI1nB,EAAEjC,EAAEA,EAAEuwB,GAAEtuB,EAAE,OAAO,EAAEA,EAAE,QAAQ,CAAC,CAAC,GAAGjC,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,wDAAwDA,EAAE,OAAO,EAAE,GAAG,CAACI,EAAEC,CAAC,EAAEL,EAAE,MAAM,MAAM,EAAE,CAAC,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEA,EAAE,MAAM,GAAG,GAAG,EAAE,GAAG,IAAI,EAAE,MAAM,IAAI,MAAM,0DAA0D,GAAG,EAAE,GAAGA,EAAE,QAAQ,WAAWA,EAAE,QAAQ,QAAQ,MAAM,IAAI,MAAM,kCAAkCA,EAAE,6CAA6C,EAAE,IAAI,EAAE,MAAMA,EAAE,KAAK,EAAE+B,EAAE/B,EAAE,QAAQ,UAAU,IAAI,EAAEgC,EAAE,IAAI,kBAAkB3B,EAAED,EAAE,CAAC,EAAE,QAAQ6B,EAAE,EAAEA,EAAE7B,EAAEC,EAAE,EAAE4B,EAAE,CAAC,IAAIS,EAAE,CAAC,EAAE,EAAE,EAAE,GAAG,EAAE,QAAQE,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIC,EAAE,EAAEZ,EAAE,EAAEW,GAAG,GAAG5C,EAAE,QAAQ,WAAW,GAAG6C,EAAE,GAAGA,EAAE,EAAE,MAAM,IAAI,MAAM,mFAAmFA,IAAI,UAAU7C,EAAE,QAAQ,UAAU6C,EAAE,GAAGA,EAAE,KAAK,MAAM,IAAI,MAAM,mFAAmFA,IAAI,EAAE,IAAI,GAAGH,EAAE,GAAGG,EAAEd,EAAEW,EAAE,GAAGG,EAAEd,EAAEW,EAAE,GAAGG,EAAEd,GAAGW,EAAEE,GAAGC,EAAEd,CAAC,CAAC,IAAIY,EAAEV,EAAE,EAAED,EAAEW,EAAE,GAAG,KAAK,MAAMD,EAAE,EAAE,EAAEV,EAAEW,EAAE,GAAG,KAAK,MAAMD,EAAE,EAAE,EAAEV,EAAEW,EAAE,GAAG,KAAK,MAAMD,EAAE,EAAE,EAAEV,EAAEW,EAAE,GAAG,KAAK,MAAMD,EAAE,EAAE,CAAC,CAAC,GAAG,GAAG,KAAK,CAAC,EAAE,MAAMrC,EAAE,EAAE,OAAOD,EAAE,IAAI6B,EAAE,EAAE,WAAW,IAAI,EAAES,EAAE,IAAI,UAAUV,EAAE3B,EAAED,CAAC,EAAE6B,EAAE,aAAaS,EAAE,EAAE,CAAC,CAAC,CAAC,OAAO1C,IAAIF,GAAGE,EAAE,QAAQ,EAAEgC,CAAC,CAAC,IAAIkzB,GAAGjJ,EAAE,CAAC,YAAYsJ,EAAE,CAAC,EAAMK,GAAG,CAAC,EAAE11B,GAAG01B,GAAG,CAAC,mBAAmB,IAAIC,EAAE,CAAC,EAAE,SAASA,GAAG/1B,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,MAAM,OAAOM,EAAE,EAAE,MAAM,OAAO,GAAGJ,EAAE,EAAE,MAAM,IAAI,MAAM,4EAA4EA,IAAI,EAAE,GAAGI,EAAE,EAAE,MAAM,IAAI,MAAM,8EAA8EA,IAAI,EAAE,GAAG,EAAE,QAAQ,QAAQ,MAAM,IAAI,MAAM,yEAAyE,EAAE,QAAQ,EAAE,GAAG,EAAE,MAAMA,EAAE,GAAGJ,EAAE,MAAM,IAAI,MAAM,iEAAiE,EAAE,MAAMI,EAAE,UAAUJ,GAAG,EAAE,GAAGkY,GAAGpY,EAAE,KAAK,IAAI,EAAE,MAAM,IAAI,MAAM,mEAAmEA,EAAE,QAAQ,EAAE,IAAIO,EAAE,EAAE,MAAM,EAAEA,EAAEA,EAAE,OAAO,GAAG,EAAE,EAAE,QAAQsC,EAAE,EAAEA,EAAEtC,EAAE,OAAO,EAAE,EAAEsC,EAAE,GAAGtC,EAAEsC,GAAG,IAAIZ,EAAEjC,EAAE,MAAMkC,EAAE3B,EAAE,MAAM,EAAE2B,EAAE,IAAI,EAAE,IAAIC,EAAE,EAAE,QAAQU,EAAE,EAAEA,EAAE3C,EAAE,EAAE2C,EAAEV,GAAGF,EAAEY,GAAGX,EAAE,KAAKD,EAAEY,EAAE,EAAE,IAAID,EAAE,CAAC,GAAGgX,GAAG5Z,EAAE,KAAK,EAAE,IAAI6C,GAAGA,EAAEV,CAAC,EAAE,CAAC,EAAE,MAAM,EAAE,CAAC,EAAE,MAAM,CAACD,EAAE,EAAEC,EAAES,CAAC,CAAC,CAAC,IAAIozB,GAAG,CAAC,EAAE51B,GAAG41B,GAAG,CAAC,gBAAgB,IAAIC,GAAG,cAAc,IAAIC,GAAG,oBAAoB,IAAIC,EAAE,CAAC,EAAE,SAASA,GAAGn2B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,EAAE,KAAK,EAAE,EAAE,MAAM,EAAE,KAAK,GAAG,EAAEC,EAAE,EAAE,KAAK,EAAE,EAAE,KAAK,EAAE,EAAE,EAAE,6FAA6FL,EAAE,yBAAyB,EAAE,iBAAiBF,gBAAgBM,oBAAoBC,KAAK,GAAGL,EAAE,KAAKK,EAAE,MAAM,IAAI,MAAM,EAAE,kBAAkBA,KAAK,EAAE,GAAGP,EAAE,OAAOM,GAAGJ,EAAE,KAAKK,GAAG,MAAM,IAAI,MAAM,EAAE,0BAA0BD,GAAGJ,EAAE,KAAKK,IAAI,EAAE,GAAGL,EAAE,OAAOK,EAAEP,EAAE,OAAOM,EAAE,MAAM,IAAI,MAAM,EAAE,mBAAmBC,EAAEP,EAAE,OAAOM,GAAG,EAAE,QAAQ,EAAE,EAAE,EAAEC,EAAE,EAAE,EAAE,GAAGL,EAAE,MAAM,KAAK,EAAE,MAAM,GAAG,MAAM,IAAI,MAAM,EAAE,kBAAkB,OAAOA,EAAE,MAAM,wBAAwB,OAAO,EAAE,MAAM,MAAM,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,KAAKK,EAAE,EAAE,EAAE,GAAGL,EAAE,MAAM,EAAEK,KAAKP,EAAE,EAAEM,GAAG,MAAM,IAAI,MAAM,EAAE,kBAAkB,EAAEC,OAAOL,EAAE,MAAM,EAAEK,gBAAgB,EAAEA,OAAOP,EAAE,EAAEO,KAAK,CAAC,CAAC,SAAS21B,GAAGl2B,EAAE,EAAEE,EAAE,CAAC,GAAG,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,+EAA+E,EAAE,OAAO,EAAE,GAAGF,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,+EAA+EA,EAAE,OAAO,EAAE,GAAG,EAAE,QAAQ,QAAQ,MAAM,IAAI,MAAM,0DAA0D,EAAE,OAAO,EAAE,GAAGE,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,6DAA6DA,GAAG,EAAE,GAAGA,EAAE,SAAS,EAAE,CAAC,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,sDAAsD,EAAE,OAAO,EAAE,GAAGF,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,sDAAsDA,EAAE,OAAO,CAAC,CAACm2B,GAAGj2B,EAAE,EAAEF,CAAC,CAAC,CAAC,SAASi2B,GAAGj2B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,EAAE,MAAM,OAAOC,EAAED,EAAE,EAAE,EAAE,MAAMA,EAAE,GAAG,EAAE,EAAEJ,EAAE,OAAO,EAAE,EAAE,QAAQ2C,EAAEtC,EAAEsC,EAAE,EAAE,EAAEA,EAAE,GAAG3C,EAAE2C,GAAG,IAAIZ,EAAE1B,EAAE,EAAE,EAAEA,EAAE2B,EAAEkW,GAAG,EAAE,KAAK,EAAEnW,EAAEE,EAAE,CAAC,GAAGyX,GAAG1Z,EAAE,MAAM,EAAEK,CAAC,CAAC,EAAE,CAAC,EAAEqC,EAAEwV,GAAGlY,CAAC,EAAE,MAAM,CAAC,UAAUK,EAAE,WAAW2B,EAAE,UAAU,EAAE,QAAQC,EAAE,WAAWS,CAAC,CAAC,CAAC,IAAIwzB,GAAG,CAAC,EAAEh2B,GAAGg2B,GAAG,CAAC,kBAAkB,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,WAAW,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,UAAU,IAAIC,GAAG,aAAa,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,YAAY,IAAIC,GAAG,0BAA0B,IAAIC,GAAG,eAAe,IAAIC,GAAG,sBAAsB,IAAIC,EAAE,CAAC,EAAE,IAAIC,GAAG,GAAGC,GAAG,GAAG,SAASf,GAAGr2B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,MAAM,OAAO8X,EAAExX,IAAI,EAAE,OAAO,IAAI,iBAAiBA,uBAAuB,uCAAuCA,KAAK,EAAEwX,EAAExX,IAAIJ,EAAE,OAAO,IAAI,iBAAiBI,sBAAsBJ,uCAAuCI,KAAK,EAAE,QAAQC,EAAE,EAAEA,EAAED,EAAE,EAAEC,EAAEuX,EAAE,EAAEvX,GAAGL,EAAEK,IAAIP,EAAE,MAAMO,GAAG,IAAI,iBAAiBD,aAAaC,aAAaA,OAAO,EAAEA,GAAGL,EAAEK,kCAAkCA,OAAOP,EAAE,MAAMO,KAAK,CAAC,CAAC,SAASm2B,GAAG12B,EAAE,CAAC,IAAI,EAAE,CAAC,EAAEE,EAAE,EAAE,KAAKF,EAAE,GAAGA,EAAE,GAAG,EAAE,KAAKE,CAAC,EAAEF,GAAG,EAAEE,IAAI,OAAO,CAAC,CAAC,SAASq2B,GAAGv2B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEP,EAAE,OAAOO,IAAID,EAAEC,GAAG,KAAK,MAAM,EAAEA,GAAGP,EAAEO,IAAIL,EAAEK,EAAE,EAAE,OAAOD,CAAC,CAAC,SAAS42B,GAAGl3B,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAE,CAAC,GAAGP,CAAC,EAAE,QAAQ,EAAEO,EAAE,OAAO,EAAED,EAAE,OAAO,IAAIC,EAAE,KAAK,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEL,EAAE,IAAI,IAAI,EAAEK,EAAE,GAAG,GAAGA,EAAE,OAAO,EAAE,EAAE,CAAC,EAAEA,EAAE,IAAI,GAAG,OAAOA,CAAC,CAAC,SAAS82B,GAAGr3B,EAAE,EAAEE,EAAE,CAAC,OAAOA,GAAGF,EAAEE,EAAEA,GAAG,EAAE,EAAE,CAAC,SAASo3B,GAAGt3B,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAEN,EAAEM,IAAIJ,EAAE,KAAK,EAAEI,CAAC,EAAE,OAAOJ,CAAC,CAAC,SAASs2B,GAAGx2B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAE,CAAC,IAAIC,EAAEnC,EAAE,OAAO4C,EAAE,IAAI,MAAMT,CAAC,EAAEU,EAAE,IAAI,MAAMV,CAAC,EAAEW,EAAE,IAAI,MAAMX,CAAC,EAAE,GAAG,EAAE,QAAQjC,EAAE,EAAE,CAAC,IAAI6C,EAAE,EAAE,GAAGC,EAAE9C,EAAE,EAAE0C,EAAEk0B,GAAG,EAAE/zB,EAAEC,EAAE1C,EAAEN,CAAC,EAAE6C,EAAEm0B,GAAG/0B,EAAEc,EAAEC,EAAEzC,EAAEP,CAAC,EAAE8C,EAAEo0B,GAAG,EAAEn0B,EAAEC,EAAEhD,CAAC,CAAC,KAAM,SAAQ+C,EAAE,EAAEA,EAAEZ,EAAEY,IAAIH,EAAEG,GAAG8zB,GAAG,EAAEv2B,EAAE,EAAEN,EAAE+C,EAAEb,CAAC,EAAEW,EAAEE,GAAGg0B,GAAG90B,EAAE1B,EAAE,EAAEP,EAAE+C,EAAEb,CAAC,EAAEY,EAAEC,GAAGk0B,GAAG,EAAEl0B,EAAEb,CAAC,EAAE,MAAM,CAAC,MAAMU,EAAE,IAAIC,EAAE,QAAQC,CAAC,CAAC,CAAC,SAASg0B,GAAG92B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAE,CAAC,GAAGA,CAAC,EAAE,EAAE+2B,GAAGp3B,EAAE,CAAC,EAAE,QAAQ+B,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,GAAG,EAAE,QAAQA,CAAC,EAAE,GAAG,EAAEA,GAAG,MAAM,CAAC,IAAIC,EAAEm1B,GAAG,EAAEn3B,EAAE+B,CAAC,EAAEE,EAAE7B,EAAE4B,GAAGlC,EAAE,GAAGkC,IAAIC,EAAE,GAAG,EAAEF,GAAGE,CAAC,CAAC,OAAO,CAAC,CAAC,SAAS60B,GAAGh3B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAE,CAAC,GAAGA,CAAC,EAAE,EAAE+2B,GAAGp3B,EAAE,CAAC,EAAE,QAAQ+B,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,GAAG,EAAE,QAAQA,CAAC,EAAE,GAAG,EAAEA,GAAG,OAAO,qBAAqB,CAAC,IAAIC,EAAEm1B,GAAG,EAAEn3B,EAAE+B,CAAC,EAAEE,EAAE7B,EAAE4B,GAAGlC,EAAE,GAAGkC,IAAIC,EAAE,OAAO,kBAAkB,EAAEF,GAAGE,CAAC,CAAC,QAAQF,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,CAAC,IAAIC,EAAE3B,EAAE0B,GAAG,EAAEA,GAAG,IAAI,EAAEA,IAAIC,GAAG,EAAED,GAAGwV,GAAG,EAAE,EAAExV,GAAG1B,EAAE0B,EAAE,CAAC,CAAC,OAAO,CAAC,CAAC,SAASg1B,GAAGj3B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,GAAG,OAAOE,EAAE,GAAG,GAAGI,GAAG,QAAQA,EAAE,GAAGA,CAAC,CAAC,SAASu2B,GAAG72B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAE,EAAEA,GAAG0B,EAAE/B,EAAEK,IAAI,GAAGP,EAAE,GAAGO,GAAG,EAAE,GAAGA,GAAG,GAAG,QAAQ0B,EAAE,EAAE,EAAE,OAAO,iBAAiB,EAAE,OAAO,kBAAkB,IAAIC,EAAE5B,EAAEC,GAAG,OAAO,EAAE,IAAI,GAAG2B,GAAG,EAAEuV,GAAG,EAAE,EAAEvV,EAAE,CAAC,EAAE,CAAC,CAAC,SAAS60B,GAAG/2B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAE,EAAEA,GAAG0B,EAAE/B,EAAEK,IAAI,GAAGP,EAAE,GAAGO,GAAG,EAAE,GAAGA,GAAG,GAAG,QAAQ0B,EAAE,EAAE,EAAE,OAAO,iBAAiB,EAAE,OAAO,kBAAkB,IAAIC,EAAE5B,EAAEC,GAAG,OAAO,EAAE,IAAI,GAAG2B,GAAGD,EAAE,EAAE,EAAEwV,GAAG,EAAE,EAAEvV,CAAC,EAAE,EAAEuV,GAAG,GAAG,EAAEvV,EAAE,CAAC,EAAE,CAAC,CAAC,SAASu0B,GAAGz2B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEJ,EAAE,OAAO,QAAQK,EAAE,EAAEA,EAAEL,EAAE,OAAOK,IAAI,GAAGL,EAAEK,GAAG,EAAE,CAACD,EAAEC,EAAE,KAAK,CAAC,QAAQA,EAAED,EAAE,EAAEC,EAAEL,EAAE,OAAOK,IAAI,GAAG,EAAEA,GAAG,GAAGL,EAAEK,KAAKP,EAAEO,GAAG,MAAM,GAAG,MAAM,EAAE,CAAC,SAAS+1B,GAAGt2B,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,OAAO,EAAEA,EAAEA,EAAE,OAAO,GAAG,EAAE,QAAQM,EAAE,EAAEA,EAAEN,EAAE,OAAO,EAAEM,IAAIJ,GAAGF,EAAEM,GAAG,EAAEA,GAAG,OAAOJ,CAAC,CAAC,SAASy2B,GAAG32B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEC,EAAEP,EAAE,MAAM,OAAO,OAAO,GAAG,SAASM,EAAE,CAAC,EAAE,GAAG,IAAI,MAAMC,EAAE,CAAC,EAAE,KAAK,CAAC,CAAC,EAAE,EAAE,OAAOA,EAAED,EAAE,EAAE,OAAO,IAAI,MAAMC,EAAE,EAAE,MAAM,EAAE,KAAK,CAAC,CAAC,EAAED,EAAE,EAAE,MAAM,EAAEA,EAAE,QAAQ,GAAG,CAACwX,EAAE,IAAI,GAAG,IAAI,mDAAmD,CAAC,CAAC,EAAE,IAAI,EAAE,OAAO5X,GAAG,KAAK,EAAE,IAAI,MAAMK,CAAC,EAAE,KAAK,EAAE,EAAE,OAAOL,GAAG,SAAS,EAAE,CAACA,EAAE,GAAG,IAAI,MAAMK,EAAE,CAAC,EAAE,KAAK,EAAE,CAAC,EAAEL,EAAE,OAAOK,EAAE,EAAEL,EAAE,OAAO,IAAI,MAAMK,EAAEL,EAAE,MAAM,EAAE,KAAK,EAAE,CAAC,EAAE,EAAEA,EAAE,EAAE,EAAE,IAAI,CAAC,EAAE+B,IAAI,GAAG,EAAE,GAAG6V,EAAE,IAAI,GAAG,IAAI,qDAAqD,mCAAmC7V,IAAI,EAAEjC,EAAE,MAAMiC,GAAG3B,EAAE2B,GAAG,EAAE,CAAC3B,EAAE,CAAC,CAAC,CAAC,SAASs2B,GAAG52B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAE,CAAC,IAAIC,EAAE,GAAG7B,GAAG,MAAM6B,EAAE,IAAI,MAAM,EAAE,MAAM,EAAEA,EAAE,KAAK,CAAC,GAAGA,EAAE7B,EAAE,GAAG,OAAO,EAAE,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,4CAA4C,EAAE,IAAIsC,EAAE,GAAGC,EAAE,CAAC,KAAKV,EAAE,OAAO,wBAAwB,EAAE,MAAM,EAAE,MAAM,EAAE,IAAIjC,EAAE,MAAM,EAAE,QAAQiC,EAAE,MAAM,EAAE,UAAU5B,EAAE,QAAQ,EAAE,aAAa,EAAE,YAAY0B,EAAE,eAAeC,CAAC,EAAE,QAAQyC,EAAE,EAAEA,EAAE9B,EAAE,KAAK8B,IAAI/B,IAAI,GAAG+B,EAAE1C,KAAK,GAAGY,EAAE,0BAA0B,GAAG8B,EAAE,IAAI/B,EAAE,IAAIA,IAAIC,EAAE,cAAc,GAAGA,EAAE,KAAKA,EAAE,QAAQ,IAAIC,EAAE,CAAC,KAAK9C,EAAE,OAAO,UAAU,EAAE,QAAQ,EAAE,WAAW,GAAG,SAAS,EAAE,EAAEu3B,GAAG10B,EAAEC,CAAC,EAAE,IAAIC,EAAE,GAAGC,EAAE,GAAGkB,EAAE,GAAG,EAAE,CAAC,EAAEqD,EAAE,CAAC,EAAE,QAAQ5C,EAAE,EAAEA,EAAE3E,EAAE,OAAO,EAAE2E,EAAE,CAAC,GAAG7B,EAAE,QAAQ6B,KAAK,EAAE,MAAM,MAAM,WAAWA,qBAAqB,EAAE,IAAIC,EAAE,CAAC,EAAE9B,EAAE,eAAe,GAAG6B,GAAGE,EAAE7E,EAAE2E,GAAG,GAAGE,IAAI,GAAG,CAAC,EAAE,KAAKD,EAAE,EAAE,EAAE,EAAE,QAAQ,CAAC,IAAIE,EAAE,CAAChC,EAAE,UAAU,GAAG6B,EAAE7B,EAAE,QAAQ,GAAG6B,CAAC,EAAE6C,EAAE,CAAC1E,EAAE,QAAQ6B,GAAG,EAAE,EAAE,GAAG7B,EAAE,QAAQ6B,GAAG,EAAEE,EAAEA,EAAE,CAAC,EAAE,GAAGD,GAAG9B,EAAE,QAAQ6B,IAAI,EAAE,MAAM,MAAM,8CAA8C,EAAET,EAAEA,GAAGpB,EAAE,QAAQ6B,KAAK,EAAE,IAAIK,EAAE,CAAC,EAAElC,EAAE,UAAU,GAAG6B,GAAG7B,EAAE,QAAQ,GAAG6B,GAAG,GAAG7B,EAAE,YAAYA,EAAE,SAAS,CAAC,GAAG8B,EAAE,CAAC,IAAIO,EAAErC,EAAE,MAAM6B,GAAG,EAAEE,EAAE/B,EAAE,MAAM6B,GAAG7B,EAAE,MAAM6B,GAAG,GAAG7B,EAAE,MAAM6B,GAAGQ,EAAErC,EAAE,IAAI6B,GAAG7B,EAAE,MAAM6B,GAAG,EAAEQ,EAAE,GAAGA,GAAGN,EAAE,MAAM,MAAM,eAAe/B,EAAE,MAAM6B,mBAAmBA,kBAAkB,CAAC,MAAM7B,EAAE,MAAM6B,GAAG6yB,GAAG10B,EAAE,MAAM6B,GAAG,EAAE7B,EAAE,QAAQ6B,GAAGE,EAAEC,EAAE0C,CAAC,EAAE1E,EAAE,IAAI6B,GAAG6yB,GAAG10B,EAAE,IAAI6B,GAAG,EAAE7B,EAAE,QAAQ6B,GAAGE,EAAEC,EAAE0C,CAAC,EAAE,IAAItC,EAAEpC,EAAE,QAAQ6B,KAAK,GAAG7B,EAAE,MAAM6B,KAAK,GAAG7B,EAAE,IAAI6B,KAAKE,EAAE9B,EAAEA,GAAGmC,EAAElC,EAAEA,IAAI2B,IAAI,GAAG7B,EAAE,QAAQ6B,KAAK,GAAGO,EAAE,MAAMnC,EAAEA,GAAGD,EAAE,QAAQ6B,KAAK,GAAGK,EAAEhC,EAAEA,IAAI2B,IAAI,GAAG7B,EAAE,QAAQ6B,KAAK,GAAGK,GAAG,IAAIyC,EAAExC,EAAE,GAAG,GAAGnC,EAAE,YAAYA,EAAE,UAAU2E,EAAE3E,EAAE,IAAI6B,GAAG7B,EAAE,MAAM6B,GAAGM,EAAE,IAAIL,GAAG6C,EAAE,EAAExC,EAAE,IAAID,GAAGH,GAAG,IAAI/B,EAAE,QAAQ6B,GAAG,EAAE8C,EAAE,CAAC5C,EAAE4C,EAAE5C,EAAEI,EAAE,IAAIA,EAAE,CAAC,IAAIC,EAAEuC,IAAI,GAAGA,EAAE,GAAG3E,EAAE,QAAQ6B,GAAG,EAAEO,EAAE,EAAEA,EAAE,KAAK,MAAMuC,EAAE3E,EAAE,QAAQ6B,EAAE,GAAG8C,EAAE3E,EAAE,QAAQ6B,KAAK,EAAE,EAAE,GAAG,EAAE,KAAKO,CAAC,CAAC,MAAM,EAAE,KAAK,EAAE,CAAC,CAAC,QAAQP,EAAE,EAAEA,EAAE7B,EAAE,wBAAwB,OAAO,EAAE6B,EAAE,CAAC,IAAIC,EAAE9B,EAAE,wBAAwB6B,GAAGC,GAAG,EAAE2C,EAAE,KAAK,EAAE3C,EAAE,EAAEA,IAAIuyB,IAAI5vB,EAAE,KAAK,CAAC,CAAC,CAAC,MAAM,CAAC,iBAAiBA,EAAE,OAAO,CAAC5C,EAAEC,IAAI9B,EAAE,wBAAwB8B,KAAKuyB,EAAE,EAAE,WAAW5vB,EAAE,WAAWxE,EAAE,UAAUC,EAAE,cAAckB,EAAE,MAAMpB,EAAE,MAAM,IAAIA,EAAE,IAAI,QAAQA,EAAE,OAAO,CAAC,CAAC,SAASy0B,GAAGv3B,EAAE,EAAE,CAAC,EAAE,UAAU,EAAE,EAAE,QAAQ,EAAE,EAAE,eAAe,EAAE,IAAIE,EAAE,EAAE,EAAE,WAAWF,EAAE,OAAO,KAAK,EAAE,SAASA,EAAE,KAAK,KAAK,EAAE,MAAM,IAAI,MAAM,EAAE,IAAI,EAAE,EAAE,IAAI,IAAI,MAAM,EAAE,IAAI,EAAE,EAAE,QAAQ,IAAI,MAAM,EAAE,IAAI,EAAE,EAAE,wBAAwB,CAAC,EAAE,EAAE,8BAA8B,CAAC,EAAE,EAAE,8BAA8B,IAAI,MAAM,EAAE,IAAI,EAAE,QAAQM,EAAE,EAAEA,EAAEN,EAAE,KAAKM,IAAI,GAAG,GAAGA,EAAEN,EAAE,aAAa,CAAC,IAAIO,EAAE,KAAK,IAAI,EAAE,MAAMP,EAAE,KAAKM,GAAG,EAAEN,EAAE,wBAAwB,EAAE,IAAI,EAAE,KAAKE,EAAEK,EAAEL,IAAI,EAAE,MAAMA,GAAG,EAAE,EAAE,IAAIA,GAAG,EAAE,EAAE,QAAQA,GAAG,EAAE,EAAE,WAAW,GAAGA,EAAE,EAAE,SAAS,GAAGA,EAAE,EAAE,wBAAwB,KAAKA,CAAC,EAAE,EAAE,8BAA8B,KAAK,EAAE,EAAE,EAAE,8BAA8BA,GAAGI,CAAC,SAAS,GAAGA,EAAEN,EAAE,YAAY,EAAE,wBAAwB,KAAKm3B,EAAE,EAAE,EAAE,8BAA8B,KAAK,EAAE,MAAM,CAAC,GAAGj3B,IAAI,EAAE,MAAM,OAAO,MAAM,MAAM,sCAAsCA,qBAAqB,EAAE,cAAc,EAAE,MAAM,SAAS,EAAEF,EAAE,OAAO,OAAO,EAAE,MAAME,GAAGF,EAAE,MAAMM,IAAIN,EAAE,KAAK,OAAO,EAAE,IAAIE,GAAGF,EAAE,IAAIM,IAAI,EAAE,QAAQJ,GAAGF,EAAE,QAAQM,GAAGN,EAAE,UAAU,GAAGM,IAAI,EAAE,WAAW,GAAGJ,GAAGF,EAAE,QAAQ,GAAGM,IAAI,EAAE,SAAS,GAAGJ,GAAGF,EAAE,eAAe,GAAGM,GAAG,EAAE,wBAAwB,KAAK82B,EAAE,EAAE,EAAE,8BAA8B,KAAK,EAAE,EAAE,EAAE,gBAAgB,GAAGl3B,IAAI,EAAE,wBAAwB,KAAKA,CAAC,EAAE,EAAE,8BAA8B,KAAKI,CAAC,GAAG,EAAE,8BAA8BJ,GAAGI,EAAEJ,GAAG,CAAC,CAAC,SAASs3B,GAAGx3B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,GAAGA,EAAE,GAAG,OAAOL,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,EAAE,GAAG,CAAC,IAAI,EAAEF,EAAE,EAAEM,EAAEN,EAAEA,EAAE,OAAO,EAAE,EAAE,GAAG,EAAE,GAAG,EAAE,EAAE,GAAG,EAAE,GAAG,CAAC,CAAC,CAAC,IAAIy3B,GAAE,CAAC,EAAEr3B,GAAGq3B,GAAE,CAAC,aAAa,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,cAAc,IAAIC,EAAE,CAAC,EAAE,IAAIF,GAAG,KAAK,CAAC,cAAc,CAAC,OAAO,KAAK,YAAY,SAAS,CAAC,OAAO,WAAW52B,EAAEZ,EAAE,CAAC,OAAO,IAAIY,EAAEZ,CAAC,CAAC,CAAC,EAAEy3B,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,aAAa,CAAC,CAAC,CAAC,OAAO,QAAQ,CAAC,OAAOA,GAAG,UAAU,OAAOA,GAAG,SAAS,IAAIA,IAAIA,GAAG,QAAQ,CAAC,OAAO,SAAS72B,EAAE,CAAC62B,GAAG,OAAO,EAAE,aAAa72B,EAAE,WAAW,CAACA,EAAEA,EAAE,UAAU,CAAC,CAAC,EAAE,SAAS82B,GAAG53B,EAAE,CAAC8X,EAAE9X,EAAE,WAAW,KAAK,IAAI,6EAA6E,EAAE8X,EAAE,OAAO9X,EAAE,WAAW,SAAS,IAAI,sDAAsD,OAAOA,EAAE,SAAS,EAAE8X,EAAE9X,EAAE,UAAU,OAAO,EAAE,IAAI,mFAAmF,EAAE23B,GAAG,SAAS33B,CAAC,CAAC,CAAC,IAAI63B,GAAG,CAAC,EAAEz3B,GAAGy3B,GAAG,CAAC,qBAAqB,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,cAAc,IAAIC,GAAG,wBAAwB,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,KAAK,IAAIC,GAAG,YAAY,IAAIC,EAAE,CAAC,EAAE,IAAIC,GAAG,KAAKX,GAAG,GAAG,SAASI,GAAGl4B,EAAE,EAAEE,EAAE,CAAC,OAAOA,GAAG,OAAOA,EAAEs4B,GAAG,GAAGE,GAAG14B,EAAE,EAAE,CAACM,EAAEC,IAAIo4B,GAAGr4B,EAAEC,EAAEL,CAAC,CAAC,CAAC,CAAC,SAASs4B,IAAI,CAAC,OAAOtN,EAAE,QAAQ,eAAe,IAAI,GAAGuN,GAAGX,EAAE,CAAC,SAASY,GAAG14B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,GAAG,IAAI6X,GAAGnY,CAAC,GAAGmY,GAAG,CAAC,KAAK7X,EAAE,IAAI6X,GAAGnY,CAAC,GAAGmY,GAAG,CAAC,IAAI7X,EAAE,IAAIA,EAAE,CAAC,IAAI,EAAEN,EAAE,YAAY,KAAKiC,EAAE,EAAE,YAAY,KAAK,GAAG,IAAIA,EAAE,MAAM,IAAI,MAAM,yCAAyC,gBAAgBA,GAAG,CAAC,CAAC,GAAG,MAAM,QAAQjC,CAAC,GAAG,MAAM,QAAQ,CAAC,EAAE,CAAC,IAAI,EAAE6rB,GAAG7rB,CAAC,EAAEiC,EAAE4pB,GAAG,CAAC,EAAE,GAAG,CAAC7T,GAAG,EAAE/V,CAAC,EAAE,MAAM,IAAI,MAAM,0CAA0C,kBAAkBA,IAAI,CAAC,CAAC,IAAI1B,EAAE4X,GAAGnY,CAAC,EAAEA,EAAEkY,GAAGlY,CAAC,EAAE,EAAEmY,GAAG,CAAC,EAAE,EAAED,GAAG,CAAC,EAAE,GAAG3X,EAAE,SAAS,EAAE,OAAO,MAAM,IAAI,MAAM,yCAAyCA,EAAE,uBAAuB,EAAE;AAAA,YACjquBA;AAAA,YACA,IAAI,EAAE,QAAQ,EAAE,EAAE,EAAE,EAAE,OAAO,EAAE,EAAE,CAAC,IAAI0B,EAAE1B,EAAE,GAAG2B,EAAE,EAAE,GAAG,GAAG,CAAChC,EAAE+B,EAAEC,CAAC,EAAE,MAAM,IAAI,MAAM,yBAAyB,QAAQD,eAAe,QAAQC;AAAA,YACvI3B;AAAA,YACA,IAAI,CAAC,CAAC,OAAO,QAAQ,aAAa,OAAO,EAAE,QAAQ,CAAC,CAAC,SAAS83B,GAAGr4B,EAAE,EAAE,CAACA,EAAE,EAAE,KAAK,IAAI,EAAE,KAAK,EAAE,IAAI,EAAE,CAAC,EAAE,OAAO,QAAQ,aAAa,OAAO,EAAE,QAAQ,CAAC,CAAC,SAASm4B,GAAGn4B,EAAE,EAAE,CAAC,IAAIE,EAAE,OAAO,GAAG,UAAU,OAAO,GAAG,UAAU,OAAO,GAAG,UAAU,CAAC,CAAC,EAAE,EAAE,OAAOoZ,GAAGtZ,CAAC,GAAGsZ,GAAGtZ,EAAE,EAAE,GAAGsZ,GAAG,CAAC,GAAGA,GAAG,EAAE,EAAE,EAAEof,GAAG14B,EAAEE,EAAE,CAACI,EAAEC,IAAID,GAAGC,CAAC,EAAEm4B,GAAG14B,EAAE,EAAE,CAACM,EAAEC,IAAIo4B,GAAGr4B,EAAEC,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS63B,GAAGp4B,EAAE,EAAEE,EAAE,CAAC,GAAGA,GAAG,OAAOA,EAAEs4B,GAAG,GAAG,CAACG,GAAG34B,EAAE,EAAEE,CAAC,EAAE,MAAM,IAAI,MAAM,8BAA8BF,mBAAmB,GAAG,EAAE,OAAO,QAAQ,aAAa,OAAO,EAAE,QAAQ,CAAC,CAAC,SAAS24B,GAAG34B,EAAE,EAAEE,EAAE,CAAC,MAAM,CAAC,SAASF,CAAC,GAAG,CAAC,SAAS,CAAC,EAAE,GAAG,EAAE,MAAMA,CAAC,GAAG,MAAM,CAAC,GAAG,KAAK,IAAIA,EAAE,CAAC,EAAEE,EAAE,CAAC,SAASo4B,GAAGt4B,EAAE,EAAEE,EAAE,CAAC,QAAQI,EAAE,EAAEA,EAAEN,EAAE,OAAOM,IAAI,GAAGN,EAAEM,GAAG,GAAGN,EAAEM,GAAGJ,EAAE,MAAM,IAAI,MAAM,sBAAsBF,EAAEM,WAAW,YAAYJ,GAAG,CAAC,CAAC,SAAS+3B,GAAGj4B,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,aAAaF,CAAC,EAAEM,EAAE,IAAI,aAAa,CAAC,EAAE,GAAGJ,EAAE,SAASI,EAAE,OAAO,MAAM,IAAI,MAAM,wCAAwCA,EAAE,sBAAsBJ,EAAE,QAAQ,EAAE,QAAQK,EAAE,EAAEA,EAAED,EAAE,OAAOC,IAAI,GAAGL,EAAEK,KAAKD,EAAEC,GAAG,MAAM,IAAI,MAAM,iCAAiCA,WAAWD,EAAEC,cAAcL,EAAEK,YAAY,CAAC,CAAC,SAASy3B,GAAGh4B,EAAE,CAAC,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,IAAI,CAAC,IAAIE,EAAEF,EAAE,GAAG,MAAM,QAAQE,CAAC,EAAE83B,GAAG93B,CAAC,EAAEF,EAAE,GAAGinB,GAAG/mB,CAAC,CAAC,CAAC,OAAOF,CAAC,CAAC,SAAS+3B,GAAG/3B,EAAE,CAAC,IAAI,EAAE,SAAS,cAAc,OAAO,EAAE,MAAM,gBAAgB,IAAI,EAAE,YAAY,IAAI,EAAE,MAAM,GAAG,EAAE,KAAK,GAAG,EAAE,MAAM,SAAS,QAAQ,EAAE,MAAM,KAAK,MAAM,EAAE,MAAM,IAAI,MAAM,EAAE,QAAQ,OAAO,EAAE,YAAYA,CAAC,EAAE,IAAI,QAAQE,GAAG,CAAC,EAAE,iBAAiB,aAAaI,GAAGJ,EAAE,CAAC,CAAC,EAAE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,eAAeq4B,GAAGv4B,EAAE,CAAC,MAAMA,EAAE,KAAK,EAAE,8BAA8BA,GAAG,MAAM,IAAI,QAAQ,GAAG,CAACA,EAAE,0BAA0B,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI44B,GAAG,QAAQ,SAASC,GAAG74B,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,KAAK,EAAEM,EAAE0rB,EAAE,EAAE,IAAI,KAAK,EAAE,CAAC9rB,EAAEI,CAAC,EAAE8pB,GAAGlqB,EAAEI,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO4qB,EAAE,UAAU7P,GAAG9a,CAAC,CAAC,CAAC,IAAIu4B,EAAE3M,EAAE,CAAC,KAAK0M,EAAE,CAAC,EAAE,SAASE,GAAG/4B,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,UAAU,EAAEM,EAAE0rB,EAAE,EAAE,IAAI,UAAU,EAAE,CAAC9rB,EAAEI,CAAC,EAAE8pB,GAAGlqB,EAAEI,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO4qB,EAAE,UAAUlM,GAAGze,CAAC,CAAC,CAAC,IAAIy4B,GAAG7M,EAAE,CAAC,UAAU4M,EAAE,CAAC,EAAE,SAASE,GAAGj5B,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,KAAK,EAAEM,EAAE0rB,EAAE,EAAE,IAAI,KAAK,EAAE,GAAG,CAAC9rB,EAAEI,CAAC,EAAE8pB,GAAGlqB,EAAEI,CAAC,EAAEJ,EAAE,QAAQ,SAASI,EAAE,QAAQ,QAAQ,OAAO04B,GAAG94B,EAAEI,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,EAAE,CAAC,EAAE,OAAO4qB,EAAE,UAAU/M,GAAG5d,EAAE,CAAC,CAAC,CAAC,IAAI24B,GAAG/M,EAAE,CAAC,KAAK8M,EAAE,CAAC,EAAE,SAASE,GAAGn5B,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,KAAK,EAAEM,EAAE0rB,EAAE,EAAE,IAAI,KAAK,EAAE,CAAC9rB,EAAEI,CAAC,EAAE8pB,GAAGlqB,EAAEI,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO4qB,EAAE,UAAU3J,GAAGhhB,CAAC,CAAC,CAAC,IAAI64B,EAAEjN,EAAE,CAAC,KAAKgN,EAAE,CAAC,EAAE,SAASE,GAAGr5B,EAAE,CAAC,IAAI,EAAEgsB,EAAEhsB,EAAE,IAAI,KAAK,EAAE,GAAG,EAAE,QAAQ,YAAY,CAAC,IAAIE,EAAE,CAAC,EAAE,CAAC,EAAE,OAAOgrB,EAAE,UAAUrO,GAAG3c,CAAC,CAAC,KAAK,CAAC,IAAIA,EAAE,CAAC,EAAE,CAAC,EAAE,OAAOgrB,EAAE,UAAUhQ,GAAGhb,CAAC,CAAC,CAAC,CAAC,IAAIo5B,GAAGnN,EAAE,CAAC,KAAKkN,EAAE,CAAC,EAAE,SAASE,GAAGv5B,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,MAAM,CAAC,EAAE,OAAOkrB,EAAE,UAAU/P,GAAGjb,CAAC,CAAC,CAAC,IAAIs5B,GAAGrN,EAAE,CAAC,MAAMoN,EAAE,CAAC,EAAE,SAASE,GAAGz5B,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,OAAO,CAAC,EAAE,OAAOkrB,EAAE,UAAU9P,GAAGlb,CAAC,CAAC,CAAC,IAAIw5B,GAAGvN,EAAE,CAAC,OAAOsN,EAAE,CAAC,EAAE,SAASE,GAAG35B,EAAE,CAAC8X,EAAE,MAAM,QAAQ9X,CAAC,EAAE,IAAI,4DAA4D,EAAE8X,EAAE9X,EAAE,QAAQ,EAAE,IAAI,uDAAuDA,EAAE,QAAQ,EAAE,IAAI,EAAEA,EAAE,IAAI,CAACO,EAAE,IAAIyrB,EAAEzrB,EAAE,UAAU,IAAI,MAAM,CAAC,EAAEL,EAAE,EAAE,GAAG,EAAE,QAAQK,GAAG,CAAC,GAAGA,EAAE,QAAQL,EAAE,MAAM,MAAM,IAAI,MAAM,0DAA0D,CAAC,CAAC,EAAE,EAAE,QAAQK,GAAG,CAAC,GAAG,CAACyX,GAAGzX,EAAE,MAAML,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,0DAA0D,CAAC,CAAC,EAAE,IAAII,EAAE,EAAE,OAAO4qB,EAAE,UAAU5P,GAAGhb,CAAC,CAAC,CAAC,IAAIs5B,GAAGzN,EAAE,CAAC,MAAMwN,EAAE,CAAC,EAAE,SAASE,GAAG75B,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAIK,EAAE,CAAC,EAAEyrB,EAAEhsB,EAAE,IAAI,MAAM,MAAM,CAAC,EAAE+B,EAAE,CAAC,KAAK,EAAE,SAAS7B,CAAC,EAAE,OAAOgrB,EAAE,UAAU3P,GAAGhb,EAAEwB,CAAC,CAAC,CAAC,IAAI+3B,GAAG3N,EAAE,CAAC,KAAK0N,EAAE,CAAC,EAAE,SAASE,GAAG/5B,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAIK,EAAE,CAAC,EAAEyrB,EAAEhsB,EAAE,IAAI,MAAM,MAAM,CAAC,EAAE+B,EAAE,CAAC,KAAK,EAAE,SAAS7B,CAAC,EAAE,OAAOgrB,EAAE,UAAU1P,GAAGjb,EAAEwB,CAAC,CAAC,CAAC,IAAIi4B,GAAG7N,EAAE,CAAC,KAAK4N,EAAE,CAAC,EAAE,SAASE,GAAGj6B,EAAE,EAAE,EAAE,CAAC,IAAI,EAAE,CAAC,EAAEgsB,EAAEhsB,EAAE,IAAI,QAAQ,CAAC,EAAEO,EAAE,CAAC,KAAK,CAAC,EAAE,OAAO2qB,EAAE,UAAUzP,GAAG,EAAElb,CAAC,CAAC,CAAC,IAAI25B,GAAG/N,EAAE,CAAC,QAAQ8N,EAAE,CAAC,EAAE,SAASE,GAAGn6B,EAAE,EAAE,EAAE,CAAC,IAAI,EAAE,CAAC,EAAEgsB,EAAEhsB,EAAE,IAAI,QAAQ,CAAC,EAAEO,EAAE,CAAC,KAAK,CAAC,EAAE,OAAO2qB,EAAE,UAAUxP,GAAG,EAAEnb,CAAC,CAAC,CAAC,IAAI65B,GAAGjO,EAAE,CAAC,QAAQgO,EAAE,CAAC,EAAE,SAASE,GAAGr6B,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,MAAM,CAAC,EAAE,OAAOkrB,EAAE,UAAUvP,GAAGzb,CAAC,CAAC,CAAC,IAAIo6B,GAAGnO,EAAE,CAAC,MAAMkO,EAAE,CAAC,EAAE,SAASE,GAAGv6B,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,OAAO,CAAC,EAAE,OAAOkrB,EAAE,UAAUtP,GAAG1b,CAAC,CAAC,CAAC,IAAIs6B,GAAGrO,EAAE,CAAC,OAAOoO,EAAE,CAAC,EAAE,SAASE,GAAGz6B,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,MAAM,CAAC,EAAE,OAAOkrB,EAAE,UAAUrP,GAAG3b,CAAC,CAAC,CAAC,IAAIw6B,GAAGvO,EAAE,CAAC,MAAMsO,EAAE,CAAC,EAAE,SAASE,GAAG36B,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,OAAO,EAAEM,EAAE0rB,EAAE,EAAE,IAAI,OAAO,EAAE,CAAC9rB,EAAEI,CAAC,EAAE8pB,GAAGlqB,EAAEI,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO4qB,EAAE,UAAUnP,GAAGxb,CAAC,CAAC,CAAC,IAAIq6B,GAAGzO,EAAE,CAAC,OAAOwO,EAAE,CAAC,EAAE,SAASE,GAAG76B,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,OAAO,CAAC,EAAE,OAAOkrB,EAAE,UAAUpP,GAAG5b,CAAC,CAAC,CAAC,IAAI46B,GAAG3O,EAAE,CAAC,OAAO0O,EAAE,CAAC,EAAE,SAASE,GAAG/6B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,OAAO,EAAE,CAAC,IAAI,EAAEP,EAAE,GAAGiC,EAAE,CAAC,GAAG,EAAE,CAAC,EAAEC,EAAE84B,GAAGz6B,CAAC,EAAE,OAAO06B,GAAGj7B,EAAEiC,EAAE/B,EAAE,EAAEI,EAAE,KAAK,KAAK4B,CAAC,CAAC,CAAC,SAASg5B,GAAGl7B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE,eAAe,CAAC,GAAG,CAAC0B,EAAEC,CAAC,EAAEi5B,GAAG,CAAC,EAAEh5B,EAAE,GAAG,IAAI,eAAeA,EAAE,CAACF,EAAEC,EAAElC,EAAE,GAAGA,EAAE,EAAE,UAAU,IAAI,gBAAgBmC,EAAE,CAACF,EAAEC,EAAElC,EAAE,GAAGA,EAAE,EAAE,MAAO,OAAM,IAAI,MAAM,sBAAsB,GAAG,EAAE,OAAOi7B,GAAGj7B,EAAEmC,EAAEjC,EAAEI,EAAEC,EAAE,EAAE,GAAG,CAAC,CAAC,CAAC,SAAS66B,GAAGp7B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE,QAAQ,CAAC,GAAG,CAAC0B,EAAEC,EAAEC,CAAC,EAAEk5B,GAAG,CAAC,EAAEz4B,EAAEC,EAAE,GAAG,IAAI,QAAQA,EAAE,eAAeD,EAAE,CAACX,EAAEC,EAAEC,EAAEnC,EAAE,GAAGA,EAAE,EAAE,UAAU,IAAI,QAAQ6C,EAAE,gBAAgBD,EAAE,CAACX,EAAEC,EAAEC,EAAEnC,EAAE,GAAGA,EAAE,EAAE,MAAO,OAAM,IAAI,MAAM,sBAAsB,GAAG,EAAE,OAAOs7B,GAAGt7B,EAAE4C,EAAE1C,EAAEI,EAAEC,EAAE,GAAGsC,EAAE,CAAC,CAAC,CAAC,SAASo4B,GAAGj7B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE,GAAG0B,EAAE,eAAe,CAAC,GAAG,CAACC,EAAEC,EAAES,EAAEC,CAAC,EAAE,CAAC,GAAG,GAAG,GAAG,EAAE,EAAE,GAAGZ,IAAI,eAAe,CAACC,EAAEC,EAAES,EAAEC,CAAC,EAAE7C,UAAUiC,IAAI,gBAAgB,CAACC,EAAEW,EAAEV,EAAES,CAAC,EAAE5C,MAAO,OAAM,IAAI,MAAM,sBAAsBiC,GAAG,EAAE,GAAG,CAACa,EAAEC,EAAE,CAACC,CAAC,EAAE,EAAE,CAACkB,EAAE,CAAC,EAAEi3B,GAAGj7B,CAAC,EAAE,CAACqH,EAAExC,CAAC,EAAEo2B,GAAG76B,CAAC,EAAEqE,EAAE42B,GAAGz4B,EAAEyE,CAAC,EAAE3C,EAAE22B,GAAGx4B,EAAEgC,CAAC,EAAE,CAAC,QAAQF,EAAE,UAAUC,EAAE,SAAS0C,CAAC,EAAEg0B,GAAGj7B,EAAE4B,EAAES,EAAEsB,EAAE,EAAES,EAAEC,EAAE,EAAE3C,CAAC,EAAE+C,EAAE,EAAEhC,EAAEH,EAAEG,EAAEyE,EAAE,OAAOxF,IAAI,gBAAgBwF,EAAE,CAACvF,EAAE8C,EAAEF,EAAE0C,CAAC,EAAEvF,IAAI,iBAAiBwF,EAAE,CAACvF,EAAE4C,EAAE0C,EAAExC,CAAC,GAAG,CAAC,UAAU9C,EAAE,WAAWD,EAAE,SAASE,EAAE,QAAQS,EAAE,WAAWC,EAAE,UAAUiC,EAAE,SAAS0C,EAAE,YAAYxC,EAAE,QAAQH,EAAE,aAAaX,EAAE,YAAY,EAAE,aAAapB,EAAE,YAAYC,EAAE,sBAAsB4B,EAAE,qBAAqBC,EAAE,eAAe2C,EAAE,cAAcxC,EAAE,QAAQ/E,EAAE,SAASyH,EAAE,YAAY,CAAC,CAAC,CAAC,SAAS6zB,GAAGt7B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,GAAG,EAAE,eAAe0B,EAAE,CAAC,GAAG,CAACC,EAAEC,EAAES,EAAEC,EAAEC,CAAC,EAAE,CAAC,GAAG,GAAG,GAAG,GAAG,EAAE,EAAE,GAAG,IAAI,eAAe,CAACZ,EAAEC,EAAES,EAAEC,EAAEC,CAAC,EAAE9C,UAAU,IAAI,gBAAgB,CAACkC,EAAEY,EAAEX,EAAES,EAAEC,CAAC,EAAE7C,MAAO,OAAM,IAAI,MAAM,sBAAsB,GAAG,EAAE,GAAG,CAAC+C,EAAEC,EAAEkB,EAAE,CAAC,CAAC,EAAE,EAAE,CAACqD,EAAExC,EAAEJ,CAAC,EAAE02B,GAAGn7B,CAAC,EAAE,CAAC0E,EAAEC,EAAEC,CAAC,EAAEu2B,GAAG/6B,CAAC,EAAEkH,EAAE+zB,GAAGx4B,EAAE6B,CAAC,EAAEI,EAAEu2B,GAAGv4B,EAAE6B,CAAC,EAAE4C,EAAE8zB,GAAGr3B,EAAEY,CAAC,EAAE,CAAC,QAAQG,EAAE,SAASC,EAAE,UAAUC,EAAE,SAASC,CAAC,EAAEq2B,GAAGl7B,EAAE4B,EAAES,EAAEC,EAAE0E,EAAExC,EAAEJ,EAAE6C,EAAExC,EAAEyC,EAAExF,CAAC,EAAEoD,EAAE,EAAE,EAAEvC,EAAE,EAAEwC,EAAE,OAAO,IAAI,gBAAgBA,EAAE,CAACpD,EAAEmD,EAAEH,EAAEC,EAAEC,CAAC,EAAE,IAAI,iBAAiBE,EAAE,CAACpD,EAAEgD,EAAEC,EAAEC,EAAEC,CAAC,GAAG,CAAC,UAAUnD,EAAE,WAAW,EAAE,QAAQC,EAAE,SAASS,EAAE,QAAQC,EAAE,WAAWC,EAAE,SAASoC,EAAE,UAAUC,EAAE,SAASC,EAAE,YAAYC,EAAE,QAAQJ,EAAE,YAAYsC,EAAE,aAAaxC,EAAE,YAAYJ,EAAE,YAAY5B,EAAE,aAAaC,EAAE,YAAYkB,EAAE,qBAAqBsD,EAAE,sBAAsBxC,EAAE,qBAAqByC,EAAE,cAAc7C,EAAE,eAAeC,EAAE,cAAcC,EAAE,QAAQ9E,EAAE,SAASsF,EAAE,YAAY,CAAC,CAAC,CAAC,SAASo2B,GAAG17B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAACD,GAAG,OAAOA,EAAEq7B,GAAG37B,EAAE,EAAEE,CAAC,GAAG,IAAI,EAAEF,EAAE,GAAG,EAAEA,EAAE,GAAGiC,EAAE25B,IAAI,EAAE,EAAE,EAAEt7B,GAAGJ,EAAE,EAAEK,CAAC,EAAE2B,EAAE05B,IAAI,EAAE,EAAE,EAAEt7B,GAAGJ,EAAE,EAAEK,CAAC,EAAE,MAAM,CAAC0B,EAAEC,CAAC,CAAC,CAAC,SAAS25B,GAAG77B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAACA,GAAG,OAAOA,EAAEo7B,GAAG37B,EAAE,EAAEM,CAAC,GAAG,IAAI,EAAEN,EAAE,GAAGiC,EAAEjC,EAAE,GAAGkC,EAAElC,EAAE,GAAGmC,EAAEy5B,IAAI,EAAE,EAAE,EAAEr7B,GAAGD,EAAE,EAAE,CAAC,EAAEsC,EAAEg5B,IAAI35B,EAAE,EAAE,EAAE1B,GAAGD,EAAE,EAAE,CAAC,EAAEuC,EAAE+4B,IAAI15B,EAAE,EAAE,EAAE3B,GAAGD,EAAE,EAAE,CAAC,EAAE,MAAM,CAAC6B,EAAES,EAAEC,EAAE3C,CAAC,CAAC,CAAC,SAASy7B,GAAG37B,EAAE,EAAEE,EAAEI,EAAE,EAAE,CAAC,IAAIC,EAAEg7B,GAAG,EAAEj7B,CAAC,EAAE,OAAO,KAAK,OAAON,EAAE,IAAIE,EAAE,GAAGA,EAAEK,GAAG,CAAC,CAAC,CAAC,SAAS46B,GAAGn7B,EAAE,CAAC,OAAO,OAAOA,GAAG,SAAS,CAACA,EAAEA,EAAEA,CAAC,EAAEA,EAAE,SAAS,EAAE,CAACA,EAAE,GAAGA,EAAE,GAAG,CAAC,EAAEA,CAAC,CAAC,SAASq7B,GAAGr7B,EAAE,CAAC,OAAO,OAAOA,GAAG,SAAS,CAACA,EAAEA,EAAEA,CAAC,EAAEA,CAAC,CAAC,SAASu7B,GAAGv7B,EAAE,EAAE,CAAC,OAAO,GAAG,EAAEA,EAAEA,GAAGA,EAAE,IAAI,EAAE,EAAE,CAAC,SAASw7B,GAAGx7B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAE,CAAC,IAAIC,EAAES,EAAEC,EAAE,GAAG,OAAO7C,GAAG,SAAS,CAACmC,EAAE,CAAC,IAAInC,EAAE,OAAOA,EAAE,KAAKA,EAAE,MAAMA,EAAE,KAAKA,IAAI,EAAE,QAAQ,QAAQ,EAAE,IAAI+C,EAAE24B,GAAG,CAAC,EAAEx7B,CAAC,EAAE,EAAEI,EAAEN,EAAEiC,CAAC,EAAEW,EAAEG,EAAE,GAAGF,EAAEE,EAAE,EAAE,SAAS/C,IAAI,OAAO,CAAC4C,EAAE,KAAK,KAAK,EAAEtC,CAAC,EAAEuC,EAAE,KAAK,KAAK3C,EAAEK,CAAC,EAAE,IAAIuC,EAAE,KAAK,IAAI,GAAGF,EAAE,GAAGtC,EAAE,EAAE,CAAC,EAAEyC,EAAE,KAAK,IAAI,GAAGF,EAAE,GAAGtC,EAAE,EAAEL,CAAC,EAAE8C,EAAE,KAAK,MAAMF,EAAE,CAAC,EAAEoB,EAAEpB,EAAEE,EAAE,EAAE,KAAK,MAAMD,EAAE,CAAC,EAAEwE,EAAExE,EAAE,EAAEZ,EAAE,CAAC,IAAIa,EAAE,OAAOkB,EAAE,KAAK,EAAE,MAAMqD,EAAE,KAAK,MAAM,CAAC,SAASvH,IAAI,QAAQmC,EAAE,CAAC,IAAI,EAAE,OAAO,EAAE,KAAK,EAAE,MAAM,EAAE,KAAK,OAAO,EAAES,EAAE,KAAK,MAAM,EAAE,EAAE,GAAGtC,CAAC,EAAEuC,EAAE,KAAK,MAAM3C,EAAE,EAAE,GAAGK,CAAC,UAAU,OAAOP,GAAG,SAAS,CAAC,IAAI8C,EAAEZ,IAAI,eAAelC,EAAE,GAAG,GAAGA,EAAE,GAAG,GAAG+C,EAAEb,IAAI,eAAelC,EAAE,GAAG,GAAGA,EAAE,GAAG,GAAGgD,EAAEd,IAAI,eAAelC,EAAE,GAAG,GAAGA,EAAE,GAAG,GAAGkE,EAAEhC,IAAI,eAAelC,EAAE,GAAG,GAAGA,EAAE,GAAG,GAAGmC,EAAE,CAAC,IAAIW,EAAE,OAAOC,EAAE,KAAKC,EAAE,MAAMkB,EAAE,KAAKpB,IAAI,GAAGC,IAAI,GAAGC,IAAI,GAAGkB,IAAI,EAAE,QAAQ,UAAU,EAAEtB,EAAEg5B,IAAI,EAAE,EAAE94B,EAAEC,GAAGzC,EAAE,EAAE2B,CAAC,EAAEY,EAAE+4B,IAAI17B,EAAE,EAAE8C,EAAEkB,GAAG3D,EAAE,EAAE0B,CAAC,CAAC,KAAM,OAAM,MAAM,8BAA8BjC,GAAG,EAAE,MAAM,CAAC,QAAQmC,EAAE,UAAUS,EAAE,SAASC,CAAC,CAAC,CAAC,SAAS44B,GAAGz7B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAE,CAAC,IAAIC,EAAEC,EAAEC,EAAEC,EAAE,GAAG,OAAOhD,GAAG,SAAS,CAAC6C,EAAE,CAAC,IAAI7C,EAAE,OAAOA,EAAE,KAAKA,EAAE,MAAMA,EAAE,MAAMA,EAAE,KAAKA,EAAE,KAAKA,IAAI,EAAE,QAAQ,QAAQ,EAAE,IAAImE,EAAE03B,GAAG,CAAC,EAAE37B,EAAEI,EAAE,CAAC,EAAE2B,EAAE,EAAE1B,EAAEP,EAAE4C,CAAC,EAAEE,EAAEqB,EAAE,GAAGpB,EAAEoB,EAAE,GAAGnB,EAAEmB,EAAE,EAAE,SAASnE,IAAI,OAAO,CAAC8C,EAAE,KAAK,KAAK,EAAEvC,CAAC,EAAEwC,EAAE,KAAK,KAAK7C,EAAE,CAAC,EAAE8C,EAAE,KAAK,KAAK1C,EAAE,CAAC,EAAE,IAAI4D,GAAGpB,EAAE,GAAGvC,EAAE0B,EAAE,EAAE,GAAGc,EAAE,GAAG,EAAEb,EAAEhC,EAAEqH,GAAGvE,EAAE,GAAG,EAAEb,EAAE7B,EAAEyE,EAAE,KAAK,MAAMb,EAAE,CAAC,EAAES,EAAET,EAAEa,EAAEH,EAAE,KAAK,MAAM,EAAE,CAAC,EAAEC,EAAE,EAAED,EAAEE,EAAE,KAAK,MAAMyC,EAAE,CAAC,EAAEC,EAAED,EAAEzC,EAAEjC,EAAE,CAAC,IAAI+B,EAAE,OAAOC,EAAE,KAAKC,EAAE,MAAM0C,EAAE,MAAMzC,EAAE,KAAKJ,EAAE,KAAK,MAAM,CAAC,SAAS3E,IAAI,QAAQ6C,EAAE,CAAC,IAAI,EAAE,OAAO,EAAE,KAAK,EAAE,MAAM,EAAE,MAAM,EAAE,KAAK,EAAE,KAAK,OAAO,EAAEC,EAAE,KAAK,MAAM,EAAEb,EAAE,GAAG1B,CAAC,EAAEwC,EAAE,KAAK,MAAM7C,EAAEgC,EAAE,GAAG,CAAC,EAAEc,EAAE,KAAK,MAAM1C,EAAE6B,EAAE,GAAG,CAAC,MAAO,OAAM,MAAM,8BAA8BnC,GAAG,EAAE,MAAM,CAAC,QAAQ6C,EAAE,SAASC,EAAE,UAAUC,EAAE,SAASC,CAAC,CAAC,CAAC,SAAS44B,GAAG57B,EAAE,EAAE,CAAC,GAAG,CAAC,EAAE,OAAO,KAAK,MAAMA,CAAC,EAAE,OAAO,EAAE,CAAC,IAAI,QAAQ,OAAO,KAAK,MAAMA,CAAC,EAAE,IAAI,OAAO,OAAO,KAAK,KAAKA,CAAC,EAAE,IAAI,QAAQ,OAAO,KAAK,MAAMA,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,wBAAwB,GAAG,CAAC,CAAC,CAAC,SAAS87B,GAAG97B,EAAE,CAAC,GAAG,CAAC,EAAEE,EAAEI,CAAC,EAAE66B,GAAGn7B,CAAC,EAAE,OAAO,IAAI,GAAGE,IAAI,GAAGI,IAAI,CAAC,CAAC,SAASy7B,GAAG/7B,EAAE,EAAE,CAAC,OAAO87B,GAAG97B,CAAC,GAAG87B,GAAG,CAAC,CAAC,CAAC,SAASd,GAAGh7B,EAAE,CAAC,GAAGA,IAAI,OAAO,MAAM,eAAe,GAAGA,IAAI,OAAO,MAAM,gBAAgB,MAAM,IAAI,MAAM,sBAAsBA,GAAG,CAAC,CAAC,SAASg8B,GAAGh8B,EAAE,EAAEE,EAAE,CAAC,GAAGA,GAAG,KAAK,CAAC,GAAG,OAAO,GAAG,SAAS,MAAM,MAAM,YAAYF,wDAAwDE,iBAAiB,IAAI,EAAE,GAAG,OAAO,GAAG,SAAS4X,EAAEQ,GAAG,CAAC,EAAE,IAAI,YAAYtY,wDAAwDE,iBAAiB,IAAI,UAAU,OAAO,GAAG,SAAS,EAAE,QAAQI,GAAG,CAACA,EAAE,QAAQC,GAAG,CAACuX,EAAEQ,GAAG/X,CAAC,EAAE,IAAI,YAAYP,wDAAwDE,iBAAiBK,IAAI,CAAC,CAAC,CAAC,CAAC,MAAO,OAAM,MAAM,YAAYP,iCAAiC,GAAG,CAAC,CAAC,CAAC,SAASi8B,GAAGj8B,EAAE,EAAE,CAAC,IAAI,EAAE,CAAC,EAAEgsB,EAAEhsB,EAAE,IAAI,UAAU,mBAAmB,CAAC,EAAEO,EAAE,CAAC,MAAM,CAAC,EAAE,OAAO2qB,EAAE,UAAUtI,GAAG,EAAEriB,CAAC,CAAC,CAAC,IAAI27B,EAAE/P,EAAE,CAAC,SAAS8P,EAAE,CAAC,EAAE,SAASE,GAAGn8B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAEyrB,EAAEhsB,EAAE,IAAI,UAAU,SAAS,EAAE,EAAE,EAAE8X,EAAEikB,GAAG77B,EAAE,CAAC,EAAE,IAAI,wEAAwEA,oBAAoB,IAAI,EAAE,IAAI+B,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGD,EAAEi6B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAGpkB,EAAE7V,EAAE,OAAO,EAAE,IAAI,mDAAmDA,EAAE,OAAO,EAAE+5B,GAAG,UAAU17B,EAAEC,CAAC,EAAE,IAAI4B,EAAE,CAAC,EAAEF,CAAC,EAAEW,EAAE,CAAC,WAAW,EAAE,QAAQ1C,EAAE,IAAII,EAAE,gBAAgBC,CAAC,EAAEsC,EAAEqoB,EAAE,UAAUlP,GAAG7Z,EAAES,CAAC,EAAE,OAAOC,EAAE4tB,GAAE5tB,EAAE,EAAE,KAAK,EAAEX,EAAEg6B,EAAEr5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIu5B,GAAGjQ,EAAE,CAAC,SAASgQ,EAAE,CAAC,EAAE,SAASE,GAAGr8B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,QAAQ,CAAC,IAAI,EAAEyrB,EAAEhsB,EAAE,IAAI,YAAY,SAAS,EAAEiC,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGD,EAAEi6B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAGpkB,EAAE7V,EAAE,OAAO,EAAE,IAAI,qDAAqDA,EAAE,OAAO,EAAE6V,EAAE,IAAI,QAAQ,IAAI,gFAAgF,GAAG,EAAEkkB,GAAG,YAAY17B,EAAEC,CAAC,EAAE,IAAI4B,EAAE,CAAC,EAAEF,CAAC,EAAEW,EAAE,CAAC,WAAW,EAAE,QAAQ1C,EAAE,IAAII,EAAE,gBAAgBC,EAAE,WAAW,CAAC,EAAEsC,EAAEqoB,EAAE,UAAUhP,GAAG/Z,EAAES,CAAC,EAAE,OAAOC,EAAE4tB,GAAE5tB,EAAEZ,EAAE,KAAK,EAAEC,EAAEg6B,EAAEr5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIy5B,GAAGnQ,EAAE,CAAC,WAAWkQ,EAAE,CAAC,EAAE,SAASE,GAAGv8B,EAAE,EAAE,EAAE,CAAC8X,EAAE9X,EAAE,QAAQ,EAAE,IAAI,oCAAoC,EAAE,IAAIE,EAAE+rB,GAAGjsB,EAAE,UAAU,SAAS,mBAAmB,EAAE,GAAGE,EAAE,GAAG,QAAQ,aAAaA,EAAE,QAAQ,GAAG,CAAC,GAAG,EAAE,QAAQ,YAAY,MAAM,IAAI,MAAM;AAAA,uBAChuU,EAAE,SAAS,CAAC,CAAC,EAAEA,EAAE,SAAS,EAAE,OAAOywB,GAAGzwB,EAAE,EAAE,EAAE,IAAII,EAAEJ,EAAEK,EAAE,CAAC,KAAK,CAAC,EAAE,OAAO2qB,EAAE,UAAUpO,GAAGxc,EAAEC,CAAC,CAAC,CAAC,IAAIi8B,GAAGrQ,EAAE,CAAC,QAAQoQ,EAAE,CAAC,EAAE,SAASE,GAAGz8B,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,UAAU,SAAS,CAAC,EAAE,OAAOkrB,EAAE,UAAUrH,GAAG3jB,CAAC,CAAC,CAAC,IAAIw8B,GAAGvQ,EAAE,CAAC,SAASsQ,EAAE,CAAC,EAAE,SAASE,GAAG38B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE0rB,EAAEhsB,EAAE,IAAI,QAAQ,mBAAmB,EAAE,GAAGM,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,gCAAgC,EAAE,IAAIC,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,KAAKJ,CAAC,EAAE,OAAOgrB,EAAE,UAAUzH,GAAGljB,EAAE,CAAC,CAAC,CAAC,IAAIq8B,GAAGzQ,EAAE,CAAC,OAAOwQ,EAAE,CAAC,EAAE,SAASE,GAAG78B,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,OAAO,SAAS,CAAC,EAAE,OAAOkrB,EAAE,UAAUjG,GAAG/kB,CAAC,CAAC,CAAC,IAAI48B,GAAG3Q,EAAE,CAAC,MAAM0Q,EAAE,CAAC,EAAE,SAASE,GAAG/8B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEyrB,EAAEhsB,EAAE,aAAa,eAAe,EAAEiC,EAAE+pB,EAAE,EAAE,aAAa,eAAe,EAAE9pB,EAAE8pB,EAAE9rB,EAAE,WAAW,eAAe,EAAEiC,EAAE6pB,EAAE1rB,EAAE,OAAO,eAAe,EAAEsC,EAAEopB,EAAEzrB,EAAE,IAAI,eAAe,EAAEsC,EAAEmpB,EAAE,EAAE,IAAI,eAAe,EAAElpB,EAAE05B,GAAG,CAACr6B,EAAEU,CAAC,EAAE,CAAC,EAAEE,EAAE+vB,GAAGhwB,EAAEb,CAAC,EAAEe,EAAE81B,EAAE/1B,EAAEb,CAAC,EAAEgC,EAAElB,EAAE,MAAM,GAAG,EAAEA,EAAE,MAAM,GAAG,EAAEuE,EAAE,CAACrD,EAAE,CAAC,EAAEa,EAAE63B,GAAG55B,EAAE,CAAC,EAAE,CAAC,EAAEuE,CAAC,EAAE5C,EAAEi4B,GAAG55B,EAAE,CAAC,EAAE,CAAC,EAAEuE,CAAC,EAAE3C,EAAEg4B,GAAG55B,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEuE,CAAC,EAAE1C,EAAE+3B,GAAG55B,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEuE,CAAC,EAAEzC,EAAEg0B,EAAEM,EAAEsD,GAAG33B,CAAC,EAAE+3B,GAAGn4B,CAAC,CAAC,EAAEy0B,EAAEx2B,EAAE85B,GAAG5D,EAAE,EAAEl0B,CAAC,CAAC,CAAC,CAAC,EAAE4C,EAAE4xB,EAAE0D,GAAGh4B,CAAC,EAAE43B,GAAG73B,CAAC,CAAC,EAAE,MAAM,CAACC,EAAE0C,CAAC,CAAC,CAAC,IAAIw1B,GAAG7Q,EAAE,CAAC,eAAe4Q,EAAE,CAAC,EAAE,SAASE,GAAGj9B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE0rB,EAAEhsB,EAAE,IAAI,gBAAgB,EAAEO,EAAE,EAAE,OAAO,CAAC0B,EAAEC,IAAID,EAAEC,CAAC,EAAE4V,EAAExX,EAAE,MAAM,EAAE,EAAE,OAAO,IAAI,iBAAiBA,EAAE,+CAA+C,EAAE,QAAQ,EAAEwX,EAAE5X,EAAE,SAAS,EAAE,OAAO,IAAI,mBAAmBA,EAAE,oDAAoD,EAAE,QAAQ,EAAE4X,EAAExX,EAAE,MAAM,GAAGC,IAAI,EAAE,IAAI,yBAAyBD,EAAE,MAAM,wEAAwE,EAAE,KAAK,KAAK,SAASC,GAAG,EAAE,IAAI,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,MAAMJ,CAAC,EAAE,OAAOgrB,EAAE,UAAU7O,GAAG,EAAE,CAAC,CAAC,CAAC,IAAI6gB,GAAG/Q,EAAE,CAAC,gBAAgB8Q,EAAE,CAAC,EAAE,SAASE,GAAGn9B,EAAE,CAAC,IAAI,EAAE,OAAOA,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,EAAEk8B,EAAEl8B,EAAE,CAAC,EAAE,EAAE,EAAEA,EAAE,IAAI,CAAC,EAAEA,EAAE,OAAO,EAAE,EAAEk8B,EAAEl8B,EAAE,CAAC,EAAE,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,EAAE,OAAO,EAAE,EAAEk8B,EAAEl8B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAE,EAAEA,EAAE,CAAC,CAAC,SAASo9B,GAAGp9B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,GAAG,OAAO,EAAE,MAAM,IAAI,EAAEyrB,EAAEhsB,EAAE,IAAI,WAAW,EAAEiC,EAAE+pB,EAAE,EAAE,OAAO,WAAW,EAAE9pB,EAAE8pB,EAAE9rB,EAAE,WAAW,WAAW,EAAEiC,EAAE5B,GAAG,OAAO4B,EAAE6pB,EAAEzrB,EAAE,QAAQ,WAAW,GAAG,IAAIqC,EAAEtC,GAAG,OAAOsC,EAAEopB,EAAE1rB,EAAE,SAAS,WAAW,GAAGwX,EAAE7V,EAAE,OAAOC,EAAE,KAAK,IAAI,8EAA8E,EAAE4V,EAAElV,GAAG,MAAMX,EAAE,OAAOW,EAAE,KAAK,IAAI,4EAA4E,EAAEkV,EAAE3V,GAAG,MAAMF,EAAE,OAAOE,EAAE,KAAK,IAAI,2EAA2E,EAAE,IAAIW,EAAE,CAAC,EAAEq6B,GAAG,CAAC,EAAE,MAAMh7B,EAAE,OAAOS,EAAE,KAAKX,EAAE,SAASC,CAAC,EAAEa,EAAE,CAAC,gBAAgB,CAAC,EAAEC,EAAEkoB,EAAE,UAAUjM,GAAGnc,EAAEC,CAAC,EAAE,OAAOm5B,EAAEl5B,EAAE,EAAE,KAAK,CAAC,CAAC,IAAIq6B,GAAGlR,EAAE,CAAC,WAAWiR,EAAE,CAAC,EAAE,SAASE,GAAGt9B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEyrB,EAAEhsB,EAAE,IAAI,WAAW,EAAEiC,EAAE+pB,EAAE,EAAE,OAAO,WAAW,EAAE9pB,EAAE8pB,EAAE9rB,EAAE,WAAW,WAAW,EAAEiC,EAAE5B,GAAG,OAAO4B,EAAE6pB,EAAEzrB,EAAE,QAAQ,WAAW,GAAG,IAAIqC,EAAE,OAAOtC,GAAG,OAAOsC,EAAEopB,EAAE1rB,EAAE,SAAS,WAAW,GAAGwX,EAAE,EAAE,OAAO,EAAE,IAAI,uDAAuD,EAAE,OAAO,EAAEA,EAAE7V,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,oEAAoEA,EAAE,OAAO,EAAE6V,EAAE5V,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,wEAAwEA,EAAE,OAAO,EAAEC,GAAG,MAAM2V,EAAE3V,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,qEAAqEA,EAAE,OAAO,EAAES,GAAG,MAAMkV,EAAElV,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,sEAAsEA,EAAE,OAAO,EAAEy6B,GAAG,EAAEp7B,EAAEC,EAAEU,EAAET,EAAE,CAAC,CAAC,CAAC,IAAIo7B,GAAGpR,EAAE,CAAC,aAAamR,EAAE,CAAC,EAAE,SAASE,GAAGx9B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEyrB,EAAEhsB,EAAE,IAAI,WAAW,EAAEiC,EAAE+pB,EAAE,EAAE,OAAO,WAAW,EAAE9pB,EAAE8pB,EAAE9rB,EAAE,WAAW,WAAW,EAAEiC,EAAE5B,GAAG,OAAO4B,EAAE6pB,EAAEzrB,EAAE,QAAQ,WAAW,GAAG,IAAIqC,EAAE,OAAOtC,GAAG,OAAOsC,EAAEopB,EAAE1rB,EAAE,SAAS,WAAW,GAAGwX,EAAE,EAAE,OAAO,EAAE,IAAI,uDAAuD,EAAE,OAAO,EAAEA,EAAE7V,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,oEAAoEA,EAAE,OAAO,EAAE6V,EAAE5V,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,wEAAwEA,EAAE,OAAO,EAAEC,GAAG,MAAM2V,EAAE3V,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,qEAAqEA,EAAE,OAAO,EAAES,GAAG,MAAMkV,EAAElV,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,sEAAsEA,EAAE,OAAO,EAAEy6B,GAAG,EAAEp7B,EAAEC,EAAEU,EAAET,EAAE,CAAC,CAAC,CAAC,IAAIs7B,GAAGtR,EAAE,CAAC,aAAaqR,EAAE,CAAC,EAAE,SAASE,GAAG19B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEyrB,EAAEhsB,EAAE,IAAI,WAAW,EAAEiC,EAAE+pB,EAAE,EAAE,OAAO,WAAW,EAAE9pB,EAAE8pB,EAAE9rB,EAAE,WAAW,WAAW,EAAEiC,EAAE5B,GAAG,OAAO4B,EAAE6pB,EAAEzrB,EAAE,QAAQ,WAAW,GAAG,IAAIqC,EAAE,OAAOtC,GAAG,OAAOsC,EAAEopB,EAAE1rB,EAAE,SAAS,WAAW,GAAGwX,EAAE,EAAE,OAAO,EAAE,IAAI,uDAAuD,EAAE,OAAO,EAAEA,EAAE7V,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,oEAAoEA,EAAE,OAAO,EAAE6V,EAAE5V,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,wEAAwEA,EAAE,OAAO,EAAEC,GAAG,MAAM2V,EAAE3V,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,qEAAqEA,EAAE,OAAO,EAAES,GAAG,MAAMkV,EAAElV,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,sEAAsEA,EAAE,OAAO,EAAEy6B,GAAG,EAAEp7B,EAAEC,EAAEU,EAAET,EAAE,CAAC,CAAC,CAAC,IAAIw7B,GAAGxR,EAAE,CAAC,aAAauR,EAAE,CAAC,EAAE,SAASE,GAAG59B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE0rB,EAAEhsB,EAAE,IAAI,UAAU,EAAEO,EAAEyrB,EAAE,EAAE,UAAU,UAAU,EAAElU,EAAExX,EAAE,QAAQ,QAAQ,IAAI,yDAAyDA,EAAE,OAAO,EAAEwX,EAAE5X,GAAG,EAAE,IAAI,sCAAsCA,IAAI,EAAE4X,EAAEvX,EAAE,OAAOD,EAAE,MAAMC,EAAE,OAAO,EAAE,IAAI,gGAAgGD,EAAE,yBAAyBC,EAAE,QAAQ,EAAE,IAAI,EAAE,CAAC,EAAED,EAAE,QAAQC,CAAC,EAAE,EAAE,CAAC,KAAKL,CAAC,EAAE,OAAOgrB,EAAE,UAAU5O,GAAG,EAAE,CAAC,CAAC,CAAC,IAAIuhB,GAAG1R,EAAE,CAAC,UAAUyR,EAAE,CAAC,EAAE,SAASE,GAAG99B,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,KAAK,gBAAgB,OAAO,EAAEM,EAAE0rB,EAAE,EAAE,KAAK,gBAAgB,OAAO,EAAE,GAAG9rB,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,oEAAoEA,EAAE,MAAM,EAAE,GAAGI,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,qEAAqEA,EAAE,MAAM,EAAE,IAAIC,EAAE,CAAC,GAAGL,EAAE,GAAGI,CAAC,EAAE,OAAO4qB,EAAE,UAAU1O,GAAGjc,CAAC,CAAC,CAAC,IAAIw9B,GAAG5R,EAAE,CAAC,eAAe2R,EAAE,CAAC,EAAE,SAASE,GAAGh+B,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,cAAc,GAAG,EAAEM,EAAEJ,EAAE,MAAM,GAAG,EAAE,KAAK,GAAG,EAAE,EAAE,IAAI,EAAE,IAAI,CAAC,EAAE,MAAM,IAAI,MAAM,2CAA2C,KAAK,EAAE,GAAG,EAAE,OAAOA,EAAE,KAAK,MAAM,IAAI,MAAM,+BAA+B,EAAE,uBAAuBA,EAAE,OAAO,EAAE,GAAG,EAAE,OAAOA,EAAE,KAAK,CAAC,IAAI,EAAEA,EAAE,MAAM,MAAM,EAAE,KAAK,EAAE,OAAO,EAAE,QAAQ,EAAE,QAAQ,CAAC,EAAEA,EAAEg8B,EAAEh8B,EAAE,CAAC,CAAC,CAAC,IAAIK,EAAEL,EAAE,MAAM,EAAE,MAAM,KAAK,CAAC,EAAE,QAAQ,EAAE,EAAE,OAAO,EAAE,GAAG,EAAE,IAAI,GAAGK,EAAE,KAAK,EAAE,GAAG,EAAE,GAAG,UAAUL,EAAE,MAAM,KAAK,EAAE,MAAM,IAAI,MAAM,mBAAmBI,8BAA8B,KAAK,EAAE,GAAG,EAAE,IAAI,CAAC,EAAEsC,IAAI,EAAE,EAAEA,EAAE,EAAE,EAAE,OAAO,GAAG,GAAG,CAAC,EAAE,SAAS,EAAE,OAAO+tB,GAAGzwB,CAAC,EAAE,IAAI+B,EAAE,CAAC,EAAE/B,CAAC,EAAEgC,EAAE,CAAC,KAAK,CAAC,EAAE,OAAOgpB,EAAE,UAAUhG,GAAGjjB,EAAEC,CAAC,CAAC,CAAC,IAAI+7B,GAAG9R,EAAE,CAAC,aAAa6R,EAAE,CAAC,EAAE,SAASE,GAAGl+B,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,OAAO,SAAS,CAAC,EAAE,OAAOkrB,EAAE,UAAUxO,GAAGxc,CAAC,CAAC,CAAC,IAAIi+B,GAAGhS,EAAE,CAAC,MAAM+R,EAAE,CAAC,EAAE,SAASE,GAAGp+B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,CAAC,MAAMN,EAAE,MAAM,EAAE,MAAME,CAAC,EAAE,OAAOgrB,EAAE,UAAUrM,GAAG,CAAC,EAAEve,CAAC,CAAC,CAAC,SAAS+9B,GAAGr+B,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE0rB,EAAEhsB,EAAE,IAAI,aAAa,EAAE,GAAG8X,EAAE,GAAG5X,EAAE,IAAI,uBAAuB,yCAAyCA,KAAK,EAAE,IAAIA,EAAE,OAAOk+B,GAAG99B,EAAE,MAAM,EAAEA,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,aAAa,EAAE,aAAaJ,CAAC,EAAE,OAAOgrB,EAAE,UAAUvO,GAAGpc,EAAE,CAAC,CAAC,CAAC,IAAI+9B,GAAGnS,EAAE,CAAC,aAAakS,EAAE,CAAC,EAAE,SAASE,GAAGv+B,EAAE,CAAC,OAAOw8B,GAAGx8B,EAAE,CAAC,CAAC,CAAC,IAAIw+B,GAAGrS,EAAE,CAAC,UAAUoS,EAAE,CAAC,EAAE,SAASE,GAAGz+B,EAAE,EAAE,CAAC,OAAOw8B,GAAGx8B,EAAE,CAAC,CAAC,CAAC,IAAI0+B,GAAGvS,EAAE,CAAC,UAAUsS,EAAE,CAAC,EAAE,SAASE,GAAG3+B,EAAE,EAAE,CAAC,OAAOw8B,GAAGx8B,EAAE,CAAC,CAAC,CAAC,IAAI4+B,GAAGzS,EAAE,CAAC,UAAUwS,EAAE,CAAC,EAAE,SAASE,GAAG7+B,EAAE,EAAE,CAAC,OAAOw8B,GAAGx8B,EAAE,CAAC,CAAC,CAAC,IAAI8+B,GAAG3S,EAAE,CAAC,UAAU0S,EAAE,CAAC,EAAE,SAASE,GAAG/+B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,OAAO,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,IAAI0B,EAAE+pB,EAAEhsB,EAAE,IAAI,SAAS,SAAS,EAAEkC,EAAE8pB,EAAE,EAAE,SAAS,SAAS,SAAS,EAAE7pB,EAAEF,EAAEW,EAAE,GAAGX,EAAE,OAAO,IAAIW,EAAE,GAAGT,EAAE+5B,EAAEj6B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG6V,EAAE3V,EAAE,OAAO,EAAE,IAAI,uDAAuDA,EAAE,OAAO,EAAE2V,EAAE5V,EAAE,OAAO,EAAE,IAAI,wDAAwDA,EAAE,OAAO,EAAE85B,GAAG,SAAS17B,EAAE,CAAC,EAAE,IAAIuC,EAAEtC,IAAI,OAAO4B,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG2V,EAAEjV,IAAIX,EAAE,MAAM,GAAG,IAAI,oCAAoCW,wCAAwCX,EAAE,MAAM,KAAK,EAAE4V,EAAEikB,GAAG77B,EAAE,CAAC,EAAE,IAAI,uEAAuEA,oBAAoB,IAAI,EAAE,IAAI4C,EAAE,CAAC,EAAEX,EAAE,OAAOD,CAAC,EAAEa,EAAE,CAAC,QAAQ7C,EAAE,IAAII,EAAE,WAAWC,EAAE,UAAU,EAAE,gBAAgB,CAAC,EAAEyC,EAAEkoB,EAAE,UAAUnO,GAAGja,EAAEC,CAAC,EAAE,OAAOH,EAAEs5B,EAAEl5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIg8B,GAAG7S,EAAE,CAAC,QAAQ4S,EAAE,CAAC,EAAE,SAASE,GAAGj/B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,MAAM,EAAE,EAAE,EAAE,CAAC,IAAI0B,EAAE+pB,EAAEhsB,EAAE,IAAI,QAAQ,EAAEkC,EAAE8pB,EAAE,EAAE,SAAS,QAAQ,EAAE7pB,EAAEF,EAAEW,EAAE,GAAGX,EAAE,OAAO,IAAIW,EAAE,GAAGT,EAAE+5B,EAAEj6B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG6V,EAAE3V,EAAE,OAAO,EAAE,IAAI,uDAAuDA,EAAE,OAAO,EAAE2V,EAAE5V,EAAE,OAAO,EAAE,IAAI,wDAAwDA,EAAE,OAAO,EAAE85B,GAAG,SAAS17B,EAAE,CAAC,EAAEwX,EAAE3V,EAAE,MAAM,KAAKD,EAAE,MAAM,GAAG,IAAI,oCAAoCC,EAAE,MAAM,yCAAyCD,EAAE,MAAM,KAAK,EAAE4V,EAAEikB,GAAG77B,EAAE,CAAC,EAAE,IAAI,oEAAoEA,mBAAmB,IAAI,EAAE4X,EAAEvX,IAAI,MAAM,IAAI,sCAAsCA,wCAAwC,EAAE,IAAIsC,EAAEq5B,EAAEh6B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEY,EAAEo5B,EAAE/5B,EAAE,CAACA,EAAE,MAAM,GAAG,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEgC,EAAE66B,GAAGl8B,EAAED,EAAE,CAAC,EAAE3C,CAAC,EAAEI,EAAE,OAAO,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,OAAOsC,EAAEs5B,EAAE/3B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAE+3B,EAAE/3B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,CAAC,CAAC,IAAI+6B,GAAG/S,EAAE,CAAC,QAAQ8S,EAAE,CAAC,EAAE,SAASE,GAAGn/B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,OAAO,EAAE,CAACuX,EAAE9X,EAAE,SAAS,EAAE,KAAK,IAAI,sBAAsBA,EAAE,2BAA2B,EAAE,kBAAkB,EAAE,IAAIiC,EAAEjC,EAAEkC,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGD,EAAEg6B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,EAAEj6B,EAAE,CAAC,EAAEjC,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,GAAG8X,EAAE7V,EAAE,SAAS,EAAE,IAAI,qEAAqEA,EAAE,SAAS,EAAE6V,EAAE5V,EAAE,OAAO,EAAE,IAAI,4DAA4DA,EAAE,MAAM,EAAE4V,EAAE5X,EAAE,OAAO,EAAE,IAAI,gEAAgEA,EAAE,MAAM,EAAE,IAAI0C,EAAE,IAAI,OAAOX,EAAE,GAAGA,EAAE,GAAGY,EAAE,IAAI,OAAOX,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG4V,EAAElV,IAAI1C,EAAE,MAAM,GAAG,IAAI,4CAA4C0C,wCAAwC1C,EAAE,MAAM,KAAK,EAAE4X,EAAEjV,IAAI3C,EAAE,MAAM,GAAG,IAAI,6CAA6C2C,yCAAyC3C,EAAE,MAAM,KAAK,EAAE87B,GAAG,iBAAiBz7B,EAAE,CAAC,EAAE,IAAIuC,EAAE,CAAC,GAAGZ,EAAE,OAAOhC,CAAC,EAAE6C,EAAE,CAAC,QAAQzC,EAAE,IAAIC,EAAE,WAAW,EAAE,gBAAgB,EAAE,WAAW0B,CAAC,EAAEe,EAAEkoB,EAAE,UAAUjO,GAAGna,EAAEC,CAAC,EAAE,OAAOZ,EAAE+5B,EAAEl5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIo8B,GAAGjT,EAAE,CAAC,qBAAqBgT,EAAE,CAAC,EAAE,SAASE,GAAGr/B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEyrB,EAAEhsB,EAAE,IAAI,iBAAiB,EAAEiC,EAAE+pB,EAAE,EAAE,SAAS,iBAAiB,EAAE,OAAOoT,GAAGl/B,EAAE,EAAE+B,EAAE3B,EAAEC,EAAE,OAAO,CAAC,CAAC,CAAC,IAAI++B,GAAGnT,EAAE,CAAC,iBAAiBkT,EAAE,CAAC,EAAE,SAASE,GAAGv/B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,QAAQ,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,CAAC,IAAI,EAAEyrB,EAAEhsB,EAAE,IAAI,QAAQ,EAAEiC,EAAE+pB,EAAE,EAAE,SAAS,QAAQ,EAAE9pB,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGD,EAAEg6B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAGpkB,EAAE5V,EAAE,OAAO,EAAE,IAAI,uDAAuDA,EAAE,OAAO,EAAE4V,EAAE7V,EAAE,OAAO,EAAE,IAAI,wDAAwDA,EAAE,OAAO,EAAE6V,EAAE5V,EAAE,MAAM,KAAKD,EAAE,MAAM,GAAG,IAAI,oCAAoCC,EAAE,MAAM,yCAAyCD,EAAE,MAAM,KAAK,EAAE6V,EAAEikB,GAAG77B,EAAE,CAAC,EAAE,IAAI,uEAAuEA,oBAAoB,IAAI,EAAE4X,EAAEvX,IAAI,QAAQ,IAAI,sCAAsCA,0CAA0C,EAAE,IAAIqC,EAAE,CAAC,EAAEV,EAAE,OAAOD,CAAC,EAAEY,EAAE,CAAC,QAAQ3C,EAAE,IAAII,EAAE,WAAWC,EAAE,UAAU,CAAC,EAAEuC,EAAEooB,EAAE,UAAUhO,GAAGta,EAAEC,CAAC,EAAE,OAAOV,EAAE+5B,EAAEp5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAI08B,GAAGrT,EAAE,CAAC,QAAQoT,EAAE,CAAC,EAAE,SAASE,GAAGz/B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAACuX,EAAE9X,EAAE,SAAS,EAAE,KAAK,IAAI,sBAAsBA,EAAE,2BAA2B,EAAE,kBAAkB,EAAE,IAAI,EAAEA,EAAE,EAAE,EAAEiC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAG,EAAEi6B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEl8B,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,GAAG,IAAIkC,EAAE,EAAE,GAAGC,EAAE,EAAE,MAAM,GAAG2V,EAAE,EAAE,SAAS,EAAE,IAAI,qEAAqE,EAAE,SAAS,EAAEA,EAAE,EAAE,OAAO,EAAE,IAAI,4DAA4D,EAAE,MAAM,EAAEA,EAAE5X,EAAE,OAAO,EAAE,IAAI,gEAAgEA,EAAE,MAAM,EAAE4X,EAAE5V,IAAIhC,EAAE,MAAM,GAAG,IAAI,4CAA4CgC,wCAAwChC,EAAE,MAAM,KAAK,EAAE4X,EAAE3V,IAAIjC,EAAE,MAAM,GAAG,IAAI,6CAA6CiC,yCAAyCjC,EAAE,MAAM,KAAK,EAAE,IAAI0C,EAAE,CAAC,GAAG,EAAE,OAAO1C,CAAC,EAAE2C,EAAE,CAAC,IAAItC,EAAE,QAAQD,EAAE,WAAW,CAAC,EAAEwC,EAAEooB,EAAE,UAAU9N,GAAGxa,EAAEC,CAAC,EAAE,OAAOZ,EAAEi6B,EAAEp5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAI48B,GAAGvT,EAAE,CAAC,qBAAqBsT,EAAE,CAAC,EAAE,SAASE,GAAG3/B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAEyrB,EAAEhsB,EAAE,IAAI,iBAAiB,EAAE,EAAEgsB,EAAE,EAAE,SAAS,iBAAiB,EAAE,OAAO0T,GAAGx/B,EAAE,EAAE,EAAEI,EAAEC,CAAC,CAAC,CAAC,IAAIq/B,GAAGzT,EAAE,CAAC,iBAAiBwT,EAAE,CAAC,EAAE,SAASE,GAAG7/B,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,MAAM,SAAS,CAAC,EAAE,OAAOkrB,EAAE,UAAU7N,GAAGnd,CAAC,CAAC,CAAC,IAAI4/B,GAAG3T,EAAE,CAAC,KAAK0T,EAAE,CAAC,EAAE,SAASE,GAAG//B,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,OAAO,SAAS,CAAC,EAAE,OAAOkrB,EAAE,UAAU5N,GAAGpd,CAAC,CAAC,CAAC,IAAI8/B,GAAG7T,EAAE,CAAC,MAAM4T,EAAE,CAAC,EAAE,SAASE,GAAGjgC,EAAE,EAAE,EAAEE,EAAE,GAAGI,EAAE,GAAG,CAAC,IAAIyB,EAAE,CAAC,EAAEiqB,EAAEhsB,EAAE,IAAI,SAAS,CAAC,EAAEgC,EAAE,CAAC,KAAK,EAAE,UAAU9B,EAAE,QAAQI,CAAC,EAAE,OAAO4qB,EAAE,UAAU3N,GAAGxb,EAAEC,CAAC,CAAC,CAAC,IAAIk+B,GAAG/T,EAAE,CAAC,SAAS8T,EAAE,CAAC,EAAE,SAASE,GAAGngC,EAAE,EAAE,EAAEE,EAAE,GAAGI,EAAE,GAAG,CAAC,IAAIyB,EAAE,CAAC,EAAEiqB,EAAEhsB,EAAE,IAAI,QAAQ,CAAC,EAAEgC,EAAE,CAAC,KAAK,EAAE,UAAU9B,EAAE,QAAQI,CAAC,EAAE,OAAO4qB,EAAE,UAAU1N,GAAGzb,EAAEC,CAAC,CAAC,CAAC,IAAIo+B,GAAGjU,EAAE,CAAC,QAAQgU,EAAE,CAAC,EAAE,SAASE,GAAGrgC,EAAE,EAAEE,EAAEI,EAAE,GAAG,CAAC,IAAIC,EAAEyrB,EAAEhsB,EAAE,IAAI,eAAe,EAAE,EAAEgsB,EAAE,EAAE,UAAU,eAAe,EAAElU,EAAEvX,EAAE,QAAQ,QAAQ,IAAI,8DAA8DA,EAAE,OAAO,EAAEuX,EAAEvX,EAAE,MAAM,EAAE,IAAI,sEAAsEA,EAAE,OAAO,EAAEuX,EAAE5X,GAAG,EAAE,IAAI,sCAAsCA,IAAI,EAAE4X,EAAE,EAAE,OAAOvX,EAAE,MAAM,EAAE,OAAO,EAAE,IAAI,+FAA+FA,EAAE,yBAAyB,EAAE,QAAQ,EAAE,IAAI,EAAE,CAAC,EAAEA,EAAE,QAAQ,CAAC,EAAE0B,EAAE,CAAC,KAAK/B,EAAE,aAAaI,CAAC,EAAE,OAAO4qB,EAAE,UAAUxN,GAAG,EAAEzb,CAAC,CAAC,CAAC,IAAIq+B,GAAGnU,EAAE,CAAC,eAAekU,EAAE,CAAC,EAAE,SAASE,GAAGvgC,EAAE,EAAEE,EAAE,OAAO,CAAC,IAAII,EAAE0rB,EAAEhsB,EAAE,IAAI,eAAe,SAAS,EAAEO,EAAEL,IAAI,OAAOI,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG,EAAEJ,IAAI,OAAOI,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG,EAAEJ,IAAI,OAAOI,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGwX,EAAE,EAAE,EAAE,IAAI,sDAAsD,GAAG,EAAEA,EAAEvX,EAAE,GAAG,EAAE,IAAI;AAAA,MACryZA,SAAS;AAAA,MACTD,EAAE,OAAO,EAAEwX,EAAE,EAAE,GAAG,EAAE,IAAI;AAAA,MACxB,SAAS;AAAA,UACLxX,EAAE,OAAO,EAAEwX,EAAE,GAAG,EAAE,KAAK,EAAE,IAAI,8CAA8C,EAAE,YAAY,uCAAuCxX,EAAE,OAAO,EAAE,IAAI2B,EAAE,CAAC,EAAE3B,CAAC,EAAE4B,EAAE,CAAC,UAAU,EAAE,WAAWhC,CAAC,EAAE,OAAOgrB,EAAE,UAAUvN,GAAG1b,EAAEC,CAAC,CAAC,CAAC,IAAIs+B,GAAGrU,EAAE,CAAC,cAAcoU,EAAE,CAAC,EAAE,SAASE,GAAGzgC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,OAAO,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,IAAI0B,EAAE+pB,EAAEhsB,EAAE,IAAI,kBAAkB,SAAS,EAAEkC,EAAE8pB,EAAE,EAAE,SAAS,kBAAkB,SAAS,EAAE7pB,EAAEF,EAAEW,EAAE,GAAGX,EAAE,OAAO,IAAIW,EAAE,GAAGT,EAAE+5B,EAAEj6B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG6V,EAAE3V,EAAE,OAAO,EAAE,IAAI,gEAAgEA,EAAE,OAAO,EAAE2V,EAAE5V,EAAE,OAAO,EAAE,IAAI,iEAAiEA,EAAE,OAAO,EAAE,IAAIW,EAAEtC,IAAI,OAAO4B,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG2V,EAAEjV,IAAIX,EAAE,MAAM,GAAG,IAAI,uDAAuDW,oDAAoDX,EAAE,MAAM,KAAK,EAAE85B,GAAG,kBAAkB17B,EAAE,CAAC,EAAE,IAAIwC,EAAE,CAAC,EAAEX,EAAE,OAAOD,CAAC,EAAEa,EAAE,CAAC,QAAQ7C,EAAE,IAAII,EAAE,WAAWC,EAAE,UAAU,EAAE,gBAAgB,CAAC,EAAEyC,EAAEkoB,EAAE,UAAUtN,GAAG9a,EAAEC,CAAC,EAAE,OAAOH,EAAEs5B,EAAEl5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAI09B,GAAGvU,EAAE,CAAC,iBAAiBsU,EAAE,CAAC,EAAE,SAASE,GAAG3gC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,MAAM,CAAC,EAAE,OAAOkrB,EAAE,UAAUnN,GAAG7d,CAAC,CAAC,CAAC,IAAI0gC,GAAGzU,EAAE,CAAC,MAAMwU,EAAE,CAAC,EAAE,SAASE,GAAG7gC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,OAAO,CAAC,IAAI,EAAEyrB,EAAEhsB,EAAE,IAAI,YAAY,EAAEiC,EAAE+pB,EAAE,EAAE,SAAS,YAAY,EAAElU,EAAE,EAAE,OAAO,GAAG,EAAE,OAAO,EAAE,IAAI,gEAAgE,EAAE,OAAO,EAAEA,EAAE7V,EAAE,OAAO,EAAE,IAAI,4DAA4DA,EAAE,OAAO,EAAE6V,EAAE,IAAI,OAAO,IAAI,gFAAgF,GAAG,EAAE,IAAI5V,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAID,EAAEg6B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,EAAE/5B,EAAE,IAAI,IAAIS,EAAE,CAAC,EAAEV,EAAE,OAAOD,CAAC,EAAEY,EAAE,CAAC,QAAQ3C,EAAE,IAAII,EAAE,UAAUC,CAAC,EAAEuC,EAAEooB,EAAE,UAAUlN,GAAGpb,EAAEC,CAAC,EAAE,OAAOV,EAAE+5B,EAAEp5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIg+B,GAAG3U,EAAE,CAAC,YAAY0U,EAAE,CAAC,EAAE,SAASE,GAAG/gC,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,QAAQ,mBAAmB,EAAEM,EAAE0rB,EAAE,EAAE,IAAI,QAAQ,mBAAmB,EAAE,CAAC9rB,EAAEI,CAAC,EAAE8pB,GAAGlqB,EAAEI,CAAC,EAAE00B,GAAG90B,EAAE,MAAMI,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO4qB,EAAE,UAAU1M,GAAGje,CAAC,CAAC,CAAC,IAAIygC,GAAG7U,EAAE,CAAC,OAAO4U,EAAE,CAAC,EAAE,SAASE,GAAGjhC,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE0rB,EAAE,EAAE,IAAI,OAAO,EAAEzrB,EAAEyrB,EAAE9rB,EAAE,IAAI,OAAO,EAAE,EAAE8rB,EAAEhsB,EAAE,YAAY,QAAQ,MAAM,EAAE,EAAEg1B,GAAGA,GAAG,EAAE,MAAM10B,EAAE,KAAK,EAAEC,EAAE,KAAK,EAAE0B,EAAEg8B,GAAG,EAAE,CAAC,EAAE/7B,EAAE+7B,GAAG39B,EAAE,CAAC,EAAE6B,EAAE87B,GAAG19B,EAAE,CAAC,EAAEqC,EAAE,CAAC,UAAUX,EAAE,EAAEC,EAAE,EAAEC,CAAC,EAAE,OAAO+oB,EAAE,UAAU3H,GAAG3gB,CAAC,CAAC,CAAC,IAAIs+B,GAAG/U,EAAE,CAAC,OAAO8U,EAAE,CAAC,EAAE,SAASE,GAAGnhC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,WAAW,CAAC,EAAE,OAAOkrB,EAAE,UAAUxF,GAAGxlB,CAAC,CAAC,CAAC,IAAIkhC,GAAGjV,EAAE,CAAC,WAAWgV,EAAE,CAAC,EAAE,SAASE,GAAGrhC,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,KAAK,EAAEM,EAAE0rB,EAAE,EAAE,IAAI,KAAK,EAAE,CAAC9rB,EAAEI,CAAC,EAAE8pB,GAAGlqB,EAAEI,CAAC,EAAE,IAAIC,EAAE24B,GAAGh5B,EAAEI,CAAC,EAAE,EAAE8gC,GAAG7gC,CAAC,EAAE,EAAEygC,GAAG1gC,EAAE,CAAC,EAAE,OAAO4gC,GAAG,EAAE,EAAE3gC,CAAC,CAAC,CAAC,IAAI+gC,GAAGnV,EAAE,CAAC,UAAUkV,EAAE,CAAC,EAAE,SAASE,GAAGvhC,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,KAAK,KAAK,EAAEM,EAAE0rB,EAAE,EAAE,KAAK,KAAK,EAAElU,GAAG5X,EAAE,OAAO,GAAGA,EAAE,OAAO,KAAKI,EAAE,OAAO,GAAGA,EAAE,OAAO,GAAG,IAAI,+DAA+DJ,EAAE,YAAYI,EAAE,OAAO,EAAE,IAAIC,EAAEL,EAAE,OAAO,EAAEA,EAAE,KAAKA,EAAE,MAAM,GAAG,EAAEI,EAAE,OAAO,EAAEA,EAAE,KAAKA,EAAE,MAAM,GAAG,GAAGwX,EAAEvX,IAAI,EAAE,IAAI,gEAAgEA,SAAS,IAAI,EAAEL,EAAE,OAAO,GAAGI,EAAE,OAAO,EAAE,CAAC,IAAI,EAAE47B,EAAEh8B,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE+B,EAAEi6B,EAAE57B,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE4B,EAAE4wB,GAAG,EAAE7wB,CAAC,EAAE,OAAOi6B,EAAEh6B,EAAE,CAAC,CAAC,CAAC,SAAShC,EAAE,OAAO,GAAGI,EAAE,OAAO,EAAE,CAAC,IAAI,EAAE47B,EAAEh8B,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE+B,EAAEi6B,EAAE57B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAE4B,EAAE4wB,GAAG,EAAE7wB,CAAC,EAAE,OAAOi6B,EAAEh6B,EAAE,CAACA,EAAE,IAAI,CAAC,CAAC,SAAShC,EAAE,OAAO,GAAGI,EAAE,OAAO,EAAE,CAAC,IAAI,EAAE47B,EAAE57B,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE2B,EAAE6wB,GAAG5yB,EAAE,CAAC,EAAE,OAAOg8B,EAAEj6B,EAAE,CAACA,EAAE,IAAI,CAAC,CAAC,KAAK,CAAC,IAAI,EAAEi6B,EAAE57B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAE,OAAOwyB,GAAG5yB,EAAE,CAAC,CAAC,CAAC,CAAC,IAAIshC,GAAGrV,EAAE,CAAC,KAAKoV,EAAE,CAAC,EAAE,SAASE,GAAGzhC,KAAK,EAAE,CAAC,IAAIE,EAAE,EAAE,IAAI,CAACK,EAAE,IAAIyrB,EAAEzrB,EAAE,UAAU,IAAI,QAAQ,CAAC,EAAED,EAAE,CAAC,SAASN,CAAC,EAAE,OAAOkrB,EAAE,UAAU9M,GAAGle,EAAEI,CAAC,CAAC,CAAC,IAAIohC,GAAGvV,EAAE,CAAC,QAAQsV,EAAE,CAAC,EAAE,SAASE,GAAG3hC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,MAAM,SAAS,CAAC,EAAE,OAAOkrB,EAAE,UAAU7M,GAAGne,CAAC,CAAC,CAAC,IAAI0hC,GAAGzV,EAAE,CAAC,KAAKwV,EAAE,CAAC,EAAE,SAASE,GAAG7hC,EAAE,CAAC,IAAI,EAAEgsB,EAAEhsB,EAAE,IAAI,KAAK,EAAE8X,EAAE,EAAE,QAAQ,SAAS,EAAE,QAAQ,UAAU,IAAI,2CAA2C,EAAE,EAAE,QAAQ,UAAU,EAAE2Y,GAAE,EAAE,SAAS,GAAG,IAAIvwB,EAAE,CAAC,EAAE,CAAC,EAAE,OAAOgrB,EAAE,UAAU3M,GAAGre,CAAC,CAAC,CAAC,IAAI4hC,GAAG3V,EAAE,CAAC,KAAK0V,EAAE,CAAC,EAAE,SAASE,GAAG/hC,EAAE,EAAE,CAAC,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,GAAGF,EAAEA,EAAE,OAAOE,EAAE,KAAK,EAAE,EAAEA,EAAE,MAAM,GAAG,MAAM,EAAE,CAAC,SAAS8hC,GAAGhiC,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,OAAO,EAAE,OAAOO,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE,QAAQ0B,EAAE,EAAEA,EAAE3B,EAAE2B,IAAI/B,EAAE,QAAQ+B,CAAC,IAAI,GAAG1B,EAAE,KAAKP,EAAE,IAAI,EAAEO,EAAE,KAAK,EAAE,IAAI,EAAE,OAAOA,CAAC,CAAC,SAAS0hC,GAAGjiC,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEI,EAAEN,EAAE,OAAO,QAAQ,EAAE,EAAE,EAAEM,EAAE,IAAI,EAAE,QAAQ,CAAC,IAAI,IAAIJ,EAAE,KAAKF,EAAE,EAAE,EAAE,IAAIO,EAAE,EAAE,IAAI,GAAGP,EAAE,EAAE,EAAE,MAAM,CAACE,EAAEK,CAAC,CAAC,CAAC,SAAS2hC,GAAGliC,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAE,IAAII,GAAG,CAAC,EAAE,OAAO0hC,GAAGhiC,EAAEE,EAAE,CAAC,CAAC,CAAC,SAASiiC,GAAGniC,EAAE,EAAEE,EAAE,CAAC4X,EAAEiqB,GAAG,EAAE7hC,CAAC,EAAE,IAAI,GAAGF,qDAAqD,cAAcE,UAAU,CAAC,CAAC,SAASkiC,GAAGpiC,EAAE,EAAE,CAAC,GAAG+hC,GAAG/hC,EAAE,CAAC,EAAE,OAAO,KAAK,IAAIE,EAAE,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAEN,EAAE,QAAQM,CAAC,IAAI,IAAIJ,EAAE,KAAKI,CAAC,EAAE,OAAON,EAAE,QAAQM,GAAGJ,EAAE,KAAKI,CAAC,CAAC,EAAEJ,CAAC,CAAC,SAASmiC,GAAGriC,EAAE,CAAC,OAAOA,EAAE,IAAI,CAAC,EAAEE,IAAI,CAACA,EAAE,CAAC,CAAC,EAAE,KAAK,CAAC,EAAEA,IAAI,EAAE,GAAGA,EAAE,EAAE,EAAE,IAAI,GAAG,EAAE,EAAE,CAAC,CAAC,SAASoiC,GAAGtiC,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQI,EAAE,EAAEN,EAAEM,EAAE,EAAE,EAAEA,EAAEJ,EAAE,KAAKI,CAAC,EAAE,OAAOJ,CAAC,CAAC,SAASqiC,GAAGviC,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAIK,EAAE,CAAC,EAAEyrB,EAAEhsB,EAAE,IAAI,KAAK,CAAC,EAAE+B,EAAE,CAAC,iBAAiB,EAAE,SAAS7B,CAAC,EAAE,OAAOgrB,EAAE,UAAUxK,GAAGngB,EAAEwB,CAAC,CAAC,CAAC,IAAIygC,GAAGrW,EAAE,CAAC,KAAKoW,EAAE,CAAC,EAAE,SAASE,GAAGziC,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAIK,EAAE,CAAC,EAAEyrB,EAAEhsB,EAAE,IAAI,KAAK,CAAC,EAAE+B,EAAE,CAAC,KAAK,EAAE,SAAS7B,CAAC,EAAE,OAAOgrB,EAAE,UAAUhK,GAAG3gB,EAAEwB,CAAC,CAAC,CAAC,IAAI2gC,GAAGvW,EAAE,CAAC,KAAKsW,EAAE,CAAC,EAAE,SAASE,GAAG3iC,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,OAAO,KAAK,EAAEM,EAAE0rB,EAAE,EAAE,MAAM,KAAK,EAAE,CAAC9rB,EAAEI,CAAC,EAAE8pB,GAAGlqB,EAAEI,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO4qB,EAAE,UAAUhJ,GAAG3hB,CAAC,CAAC,CAAC,IAAIqiC,GAAGzW,EAAE,CAAC,KAAKwW,EAAE,CAAC,EAAE,SAASE,GAAG7iC,EAAE,EAAE,CAAC,IAAImY,GAAGnY,CAAC,GAAG,IAAI,UAAU,MAAM,QAAQA,CAAC,IAAI,IAAI,YAAY,MAAM,IAAI,MAAM,gFAAgF,EAAE,GAAG,IAAI,UAAUmY,GAAGnY,CAAC,GAAG,EAAEA,aAAa,YAAY,MAAM,IAAI,MAAM,2EAA2E,EAAE,OAAOssB,GAAGtsB,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,SAAS8iC,GAAG9iC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,OAAO,SAAS,CAAC,EAAE,OAAOkrB,EAAE,UAAUnH,GAAG7jB,CAAC,CAAC,CAAC,IAAI6iC,GAAG5W,EAAE,CAAC,MAAM2W,EAAE,CAAC,EAAE,SAASE,GAAGhjC,EAAE,CAAC,IAAI,EAAEgsB,EAAEhsB,EAAE,IAAI,QAAQ,EAAEE,EAAE,CAAC,EAAE,OAAOgrB,EAAE,UAAU,SAAS,CAAC,EAAE,CAAC,EAAEhrB,CAAC,CAAC,CAAC,IAAI+iC,GAAG9W,EAAE,CAAC,QAAQ6W,EAAE,CAAC,EAAE,SAASE,GAAGljC,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAII,EAAE0rB,EAAEhsB,EAAE,IAAI,KAAK,EAAEM,EAAE,QAAQ,SAASA,EAAEmwB,GAAEnwB,EAAE,OAAO,GAAG,IAAIC,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAASJ,CAAC,EAAE,OAAOgrB,EAAE,UAAUlH,GAAGzjB,EAAE,CAAC,CAAC,CAAC,IAAI4iC,GAAGhX,EAAE,CAAC,KAAK+W,EAAE,CAAC,EAAE,SAASE,GAAGpjC,EAAE,EAAE,YAAYE,EAAE,KAAKI,EAAE,GAAG,CAACN,EAAEgsB,EAAEhsB,EAAE,IAAI,MAAM,EAAE,IAAIO,EAAE8iC,GAAGrjC,EAAE,EAAEE,CAAC,EAAE,EAAEK,EAAE,MAAM,GAAGD,EAAE,CAAC,IAAI,EAAEuY,GAAG3Y,EAAEF,EAAE,KAAK,EAAE,EAAEkiC,GAAG3hC,EAAE,MAAM,CAAC,CAAC,CAAC,OAAO27B,EAAE37B,EAAE,CAAC,CAAC,CAAC,SAAS8iC,GAAGrjC,EAAE,EAAEE,EAAE,KAAK,CAAC,GAAGF,EAAE,OAAO,EAAE,OAAOs5B,GAAGt5B,CAAC,EAAE,GAAGA,EAAE,OAAO,GAAGE,IAAI,KAAK,OAAOmjC,GAAGnH,EAAEl8B,EAAE,CAAC,EAAE,CAAC,EAAE,EAAEE,CAAC,EAAE,GAAGF,EAAE,OAAO,GAAG,OAAOE,GAAG,UAAU,MAAM,QAAQA,CAAC,GAAGA,EAAE,SAAS,EAAE,CAAC,GAAG,IAAI,EAAE,OAAOijC,GAAG7J,GAAGt5B,CAAC,EAAEE,CAAC,EAAE,GAAG,IAAI,EAAE,EAAE,OAAOsiC,GAAGlJ,GAAGt5B,CAAC,EAAEE,CAAC,EAAE,GAAG,IAAI,GAAG,EAAE,OAAOwiC,GAAGpJ,GAAGt5B,CAAC,EAAEE,CAAC,EAAE,GAAG,IAAI,aAAa,IAAI,EAAE,OAAO6iC,GAAGI,GAAGP,GAAGtJ,GAAGt5B,CAAC,EAAE6iC,GAAG,EAAE,OAAO,CAAC,EAAE3iC,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,qCAAqC,GAAG,CAAC,CAAC,GAAG,MAAM,QAAQA,CAAC,GAAGA,EAAE,SAAS,EAAE,CAAC,GAAG,IAAI,EAAE,OAAOsiC,GAAGW,GAAG7J,GAAGt5B,CAAC,EAAEE,EAAE,EAAE,EAAEA,EAAE,GAAG,CAAC,EAAE,GAAG,IAAI,EAAE,EAAE,OAAOsiC,GAAGW,GAAG7J,GAAGt5B,CAAC,EAAEE,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAE,GAAG,IAAI,GAAG,EAAE,OAAOwiC,GAAGS,GAAG7J,GAAGt5B,CAAC,EAAEE,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAE,GAAG,IAAI,OAAO,IAAI,YAAY,OAAO6iC,GAAGI,GAAGF,GAAGjjC,CAAC,EAAEE,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,qCAAqC,GAAG,CAAC,CAAC,MAAM,IAAI,MAAM,gCAAgCA,GAAG,CAAC,CAAC,IAAIojC,GAAGnX,EAAE,CAAC,MAAMiX,EAAE,CAAC,EAAE,SAASG,GAAGvjC,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,OAAOojC,GAAGtjC,EAAE,YAAY,EAAEE,CAAC,CAAC,CAAC,IAAIsjC,GAAGrX,EAAE,CAAC,eAAeoX,EAAE,CAAC,EAAE,SAASE,GAAGzjC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,KAAK,CAAC,EAAE,OAAOkrB,EAAE,UAAUzM,GAAGve,CAAC,CAAC,CAAC,IAAIwjC,GAAGvX,EAAE,CAAC,KAAKsX,EAAE,CAAC,EAAE,SAASE,GAAG3jC,EAAE,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,aAAa,mBAAmB,EAAE8X,EAAE,GAAG5X,EAAE,KAAK,IAAI,oCAAoC,EAAE,IAAII,EAAE,CAAC,MAAMJ,CAAC,EAAEK,EAAE,CAAC,IAAI,CAAC,EAAE,OAAO2qB,EAAE,UAAUxM,GAAGpe,EAAEC,CAAC,CAAC,CAAC,IAAIqjC,GAAGzX,EAAE,CAAC,YAAYwX,EAAE,CAAC,EAAE,SAASE,GAAG7jC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,OAAO,CAAC,EAAE,OAAOkrB,EAAE,UAAUvM,GAAGze,CAAC,CAAC,CAAC,IAAI4jC,GAAG3X,EAAE,CAAC,OAAO0X,EAAE,CAAC,EAAE,SAASE,GAAG/jC,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,OAAO,mBAAmB,EAAE8X,EAAE5X,EAAE,OAAO,EAAE,OAAO,IAAI,qCAAqCA,EAAE,kCAAkC,IAAI,EAAE,IAAII,EAAE,CAAC,EAAEJ,CAAC,EAAEK,EAAE,CAAC,KAAK,CAAC,EAAE,OAAO2qB,EAAE,UAAUhG,GAAG5kB,EAAEC,CAAC,CAAC,CAAC,IAAIyjC,GAAG7X,EAAE,CAAC,MAAM4X,EAAE,CAAC,EAAE,SAASE,GAAGjkC,EAAE,EAAEE,EAAEI,EAAE,UAAU,CAAC,GAAG,OAAO,EAAEN,GAAG,IAAIO,EAAEgwB,GAAG,CAACvwB,EAAE,CAAC,EAAEM,CAAC,EAAE,EAAEN,GAAG,EAAEA,EAAE,EAAE,QAAQiC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE1B,EAAE,IAAI,EAAE0B,EAAEA,CAAC,EAAE,IAAI,EAAEi6B,EAAE37B,EAAE,SAAS,EAAE,CAACP,EAAE,CAAC,CAAC,EAAE,GAAGE,GAAG,KAAK,OAAO,EAAE,GAAGA,EAAE,SAAS,EAAE,OAAO8jC,GAAGJ,GAAG,EAAE,CAAC,EAAE,CAAC1jC,EAAE,GAAG,EAAE,CAAC,CAAC,EAAE,GAAGA,EAAE,SAAS,EAAE,OAAO8jC,GAAGJ,GAAGA,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC1jC,EAAE,GAAGA,EAAE,GAAG,EAAE,CAAC,CAAC,EAAE,GAAGA,EAAE,SAAS,EAAE,OAAO8jC,GAAGJ,GAAGA,GAAGA,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC1jC,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAG,EAAE,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,qEAAqEA,EAAE,UAAU,CAAC,CAAC,IAAIgkC,GAAG/X,EAAE,CAAC,KAAK8X,EAAE,CAAC,EAAE,SAASE,GAAGnkC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,QAAQ,SAAS,CAAC,EAAE,OAAOkrB,EAAE,UAAUnM,GAAG7e,CAAC,CAAC,CAAC,IAAIkkC,GAAGjY,EAAE,CAAC,OAAOgY,EAAE,CAAC,EAAE,SAASE,GAAGrkC,EAAE,EAAEE,EAAE,EAAEI,EAAE,EAAE,CAAC,IAAIC,EAAEyrB,EAAEhsB,EAAE,IAAI,QAAQ,EAAE,EAAEgsB,EAAE,EAAE,UAAU,SAAS,OAAO,EAAE,EAAE,CAAC,EAAEzrB,EAAE,QAAQ,CAAC,EAAE0B,EAAE,CAAC,KAAK/B,EAAE,UAAUI,CAAC,EAAE,OAAO4qB,EAAE,UAAUhM,GAAG,EAAEjd,CAAC,CAAC,CAAC,IAAIqiC,GAAGnY,EAAE,CAAC,QAAQkY,EAAE,CAAC,EAAE,SAASE,GAAGvkC,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,UAAU,mBAAmB,EAAEM,EAAE0rB,EAAE,EAAE,IAAI,UAAU,mBAAmB,EAAE,CAAC9rB,EAAEI,CAAC,EAAE8pB,GAAGlqB,EAAEI,CAAC,EAAE00B,GAAG90B,EAAE,MAAMI,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO4qB,EAAE,UAAU9L,GAAG7e,CAAC,CAAC,CAAC,IAAIikC,GAAGrY,EAAE,CAAC,SAASoY,EAAE,CAAC,EAAE,SAASE,GAAGzkC,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,eAAe,mBAAmB,EAAEM,EAAE0rB,EAAE,EAAE,IAAI,eAAe,mBAAmB,EAAE,CAAC9rB,EAAEI,CAAC,EAAE8pB,GAAGlqB,EAAEI,CAAC,EAAE00B,GAAG90B,EAAE,MAAMI,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO4qB,EAAE,UAAU7L,GAAG9e,CAAC,CAAC,CAAC,IAAImkC,GAAGvY,EAAE,CAAC,cAAcsY,EAAE,CAAC,EAAE,SAASE,GAAG3kC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,UAAU,CAAC,EAAE,OAAOkrB,EAAE,UAAUzL,GAAGvf,CAAC,CAAC,CAAC,IAAI0kC,GAAGzY,EAAE,CAAC,UAAUwY,EAAE,CAAC,EAAE,SAASE,GAAG7kC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,OAAO,CAAC,EAAE,OAAOkrB,EAAE,UAAUxL,GAAGxf,CAAC,CAAC,CAAC,IAAI4kC,GAAG3Y,EAAE,CAAC,OAAO0Y,EAAE,CAAC,EAAE,SAASE,GAAG/kC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,OAAO,CAAC,EAAE,OAAOkrB,EAAE,UAAUvL,GAAGzf,CAAC,CAAC,CAAC,IAAI8kC,GAAG7Y,EAAE,CAAC,OAAO4Y,EAAE,CAAC,EAAE,SAASE,GAAGjlC,EAAE,EAAE,GAAG,CAAC,IAAI,EAAE,CAAC,EAAEgsB,EAAEhsB,EAAE,IAAI,WAAW,CAAC,EAAEO,EAAE,CAAC,MAAM,CAAC,EAAE,OAAO2qB,EAAE,UAAUtL,GAAG,EAAErf,CAAC,CAAC,CAAC,IAAI2kC,GAAG/Y,EAAE,CAAC,WAAW8Y,EAAE,CAAC,EAAE,SAASE,GAAGnlC,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,OAAO,mBAAmB,EAAEM,EAAE0rB,EAAE,EAAE,IAAI,OAAO,mBAAmB,EAAE,CAAC9rB,EAAEI,CAAC,EAAE8pB,GAAGlqB,EAAEI,CAAC,EAAE00B,GAAG90B,EAAE,MAAMI,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO4qB,EAAE,UAAUrL,GAAGtf,CAAC,CAAC,CAAC,IAAI6kC,GAAGjZ,EAAE,CAAC,MAAMgZ,EAAE,CAAC,EAAE,SAASE,GAAGrlC,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,YAAY,mBAAmB,EAAEM,EAAE0rB,EAAE,EAAE,IAAI,YAAY,mBAAmB,EAAE,CAAC9rB,EAAEI,CAAC,EAAE8pB,GAAGlqB,EAAEI,CAAC,EAAE00B,GAAG90B,EAAE,MAAMI,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO4qB,EAAE,UAAUpL,GAAGvf,CAAC,CAAC,CAAC,IAAI+kC,GAAGnZ,EAAE,CAAC,WAAWkZ,EAAE,CAAC,EAAE,SAASE,GAAGvlC,EAAE,EAAEE,EAAE,CAAC,GAAGA,GAAG,EAAE,MAAM,IAAI,MAAM,0CAA0C,EAAE,IAAII,EAAE,CAAC,MAAMN,EAAE,KAAK,EAAE,IAAIE,CAAC,EAAE,OAAOgrB,EAAE,UAAUnL,GAAG,CAAC,EAAEzf,CAAC,CAAC,CAAC,SAASklC,GAAGxlC,EAAE,EAAE,EAAEE,EAAE,EAAEI,EAAE,EAAEC,EAAE,GAAG,CAAC,IAAI,EAAEyrB,EAAEhsB,EAAE,IAAI,4BAA4B,EAAE8X,EAAE,EAAE,OAAO,GAAG,EAAE,OAAO,EAAE,IAAI;AAAA,sBACt8R,EAAE,OAAO,EAAEA,EAAEQ,GAAG,CAAC,EAAE,IAAI,2FAA2F,IAAI,EAAE,IAAI,EAAE,EAAErW,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAG,EAAEi6B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAG,IAAIh6B,EAAE,CAAC,EAAE,CAAC,EAAEC,EAAE,CAAC,YAAY,EAAE,KAAKjC,EAAE,MAAMI,EAAE,KAAKC,CAAC,EAAEqC,EAAEsoB,EAAE,UAAU1K,GAAGte,EAAEC,CAAC,EAAE,OAAOF,EAAEi6B,EAAEt5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAI6iC,GAAGtZ,EAAE,CAAC,4BAA4BqZ,EAAE,CAAC,EAAE,SAASE,GAAG1lC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,MAAM,SAAS,CAAC,EAAE,OAAOkrB,EAAE,UAAUlL,GAAG9f,CAAC,CAAC,CAAC,IAAIylC,GAAGxZ,EAAE,CAAC,KAAKuZ,EAAE,CAAC,EAAE,SAASE,GAAG5lC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,OAAO,CAAC,EAAE,OAAOkrB,EAAE,UAAUjL,GAAG/f,CAAC,CAAC,CAAC,IAAI2lC,GAAG1Z,EAAE,CAAC,OAAOyZ,EAAE,CAAC,EAAE,SAASE,GAAG9lC,EAAE,CAAC,OAAO8X,EAAE4B,GAAG1Z,CAAC,EAAE,IAAI,4CAA4C,EAAE,CAAC,EAAEE,IAAI,CAAC,IAAII,EAAE0rB,EAAE,EAAE,IAAI,UAAU,mBAAmB,EAAEzrB,EAAEL,GAAG,KAAK8rB,EAAE9rB,EAAE,KAAK,SAAS,EAAE,KAAK,OAAOgrB,EAAE,KAAK,IAAI,CAAC,GAAG,CAAC,MAAM,EAAE,MAAM,CAAC,EAAEA,EAAE,UAAU,IAAIlrB,EAAEM,CAAC,EAAE,CAACA,CAAC,EAAEC,CAAC,EAAE,OAAOA,GAAG,MAAMwX,GAAG,EAAE,MAAMxX,EAAE,MAAM,gFAAgF,EAAEwlC,GAAG,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAASC,GAAGhmC,EAAE,CAAC,OAAO8X,EAAE4B,GAAG1Z,CAAC,EAAE,IAAI,6CAA6C,EAAE,CAAC,EAAEE,IAAI,CAAC4X,EAAE,MAAM,QAAQ,CAAC,EAAE,IAAI,kFAAkF,EAAE,IAAIxX,EAAE2rB,GAAG,EAAE,OAAO,WAAW,mBAAmB,EAAE1rB,EAAEL,GAAG,KAAK8rB,EAAE9rB,EAAE,KAAK,UAAU,EAAE,KAAK,OAAOgrB,EAAE,KAAK,IAAI,CAAC,GAAG,CAAC,MAAM,EAAE,MAAM,CAAC,EAAEA,EAAE,UAAU,IAAIlrB,EAAE,GAAGM,CAAC,EAAEA,EAAEC,CAAC,EAAE,OAAOA,GAAG,MAAMwX,GAAG,EAAE,MAAMxX,EAAE,MAAM,+FAA+F,EAAEwlC,GAAG,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,SAASE,GAAGjmC,EAAE,CAAC,OAAO8X,EAAE4B,GAAG1Z,CAAC,EAAE,IAAI,oDAAoD,EAAE,CAAC,EAAEE,IAAI,CAAC4X,EAAE,aAAa+R,GAAG,IAAI,qDAAqD,EAAE/R,EAAE5X,GAAG,MAAMA,aAAa2pB,GAAG,IAAI,0DAA0D,EAAE,GAAG,CAAC,MAAMvpB,EAAE,MAAMC,CAAC,EAAE2qB,EAAE,UAAU,IAAIlrB,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEE,CAAC,EAAE,OAAO6lC,GAAGzlC,CAAC,EAAE,CAAC,KAAKA,EAAE,GAAG,MAAMC,CAAC,CAAC,CAAC,CAAC,SAAS2lC,GAAGlmC,EAAE,CAAC,OAAO8X,EAAE4B,GAAG1Z,CAAC,EAAE,IAAI,qDAAqD,EAAE,CAAC,EAAEE,IAAI,CAAC4X,EAAE,MAAM,QAAQ,CAAC,GAAG,EAAE,MAAMvX,GAAGA,aAAaspB,EAAE,EAAE,IAAI,oEAAoE,EAAE/R,EAAE5X,GAAG,MAAMA,aAAa2pB,GAAG,IAAI,8DAA8D,EAAE,IAAIvpB,EAAE4qB,EAAE,UAAU,IAAIlrB,EAAE,GAAG,CAAC,EAAE,EAAEE,CAAC,EAAE,OAAOA,GAAG,MAAM6X,GAAGzX,EAAE,MAAM,MAAMJ,EAAE,MAAM,uGAAuG,EAAE6lC,GAAGzlC,EAAE,KAAK,EAAEA,CAAC,CAAC,CAAC,SAAS6lC,GAAGnmC,EAAE,EAAE,CAAC8X,EAAE4B,GAAG1Z,CAAC,EAAE,IAAI,qDAAqD,EAAE8X,EAAE,GAAG,MAAM,MAAM,QAAQ,CAAC,GAAG,EAAE,MAAM3V,GAAGA,aAAa4nB,EAAE,EAAE,IAAI,+EAA+E,EAAE,IAAI7pB,EAAE,GAAG,KAAK,GAAG,CAACA,EAAE,CAAC,EAAE,CAAC,EAAE,QAAQiC,KAAK+oB,EAAE,oBAAoB,EAAE,KAAKA,EAAE,oBAAoB/oB,EAAE,CAAC,CAAC,IAAI7B,EAAEJ,EAAE,EAAE,OAAOiC,GAAG,CAACA,EAAE,SAAS,EAAE,KAAK5B,EAAE,EAAE,OAAO,EAAE,EAAE,OAAO4B,GAAGA,EAAE,SAAS,EAAE2V,EAAE,EAAE,OAAO,EAAE,IAAI,gGAAgGvX,2BAA2B,EAAE,IAAI,EAAE,GAAG,CAAC,MAAM,EAAE,MAAM0B,CAAC,EAAEipB,EAAE,UAAUlrB,EAAE,EAAE,KAAK,CAAC,EAAE8X,EAAE7V,EAAE,KAAKE,GAAGA,GAAG,IAAI,EAAE,IAAI,8LAA8L,EAAE2V,EAAE,EAAE,OAAO,EAAE,IAAI,iFAAiF,EAAE,aAAa,EAAE,IAAI5V,EAAE,CAAC,EAAE,OAAO,EAAE,QAAQ,CAACC,EAAES,IAAI,CAACX,EAAEW,IAAI,OAAOV,EAAEC,EAAE,MAAMF,EAAEW,GAAG,CAAC,EAAEtC,GAAG,MAAMA,EAAE,QAAQ6B,GAAGD,EAAEC,EAAE,MAAM,IAAI,EAAE,CAAC,MAAM,EAAE,MAAMD,CAAC,CAAC,CAAC,SAASkkC,GAAGpmC,EAAE,CAAC,OAAOkrB,EAAE,WAAWlrB,CAAC,CAAC,CAAC,SAAS+lC,GAAG/lC,EAAE,CAAC,GAAGA,EAAE,OAAOE,GAAGA,GAAG,IAAI,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM;AAAA,oEACryG,CAAC,CAAC,SAASmmC,GAAGrmC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,UAAU,CAAC,EAAE,OAAOkrB,EAAE,UAAUpH,GAAG5jB,CAAC,CAAC,CAAC,IAAIomC,GAAGna,EAAE,CAAC,UAAUka,EAAE,CAAC,EAAE,SAASE,GAAGvmC,EAAE,CAAC,IAAI,EAAEgsB,EAAEhsB,EAAE,IAAI,YAAY,EAAE,OAAOomC,GAAG,IAAI,CAAC,MAAM3R,GAAG6R,GAAG7R,GAAG,CAAC,CAAC,CAAC,EAAE,SAASzyB,GAAGo3B,EAAEp3B,EAAE06B,GAAGjI,GAAG,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,IAAI+R,GAAGra,EAAE,CAAC,YAAYoa,EAAE,CAAC,EAAE,SAASE,GAAGzmC,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,KAAK,EAAEM,EAAE0rB,EAAE,EAAE,IAAI,KAAK,EAAE,CAAC9rB,EAAEI,CAAC,EAAE8pB,GAAGlqB,EAAEI,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO4qB,EAAE,UAAUnG,GAAGxkB,CAAC,CAAC,CAAC,IAAImmC,GAAGva,EAAE,CAAC,KAAKsa,EAAE,CAAC,EAAE,SAASE,GAAG3mC,EAAE,EAAE,GAAG,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,SAAS,YAAY,EAAE,GAAG,IAAI,KAAK,EAAEE,EAAE,KAAK,GAAG,IAAIA,EAAE,KAAK,EAAE,MAAM,MAAM,gFAAgFA,EAAE,qBAAqB,GAAG,EAAE,OAAOkmC,GAAG,CAAC7lC,EAAEwB,IAAI,CAAC,IAAIE,EAAEugC,GAAGjiC,EAAE,EAAE,EAAE,EAAE2B,EAAEwkC,GAAGnmC,EAAE0B,CAAC,EAAEE,EAAEukC,GAAGjW,GAAEvuB,EAAE,SAAS,EAAEyjC,GAAGxC,GAAGO,GAAGxhC,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,EAAE,OAAOH,EAAE,CAACI,CAAC,CAAC,EAAE,CAAC,MAAMA,EAAE,SAAS,CAACU,EAAEC,IAAI,CAAC,GAAG,CAACC,CAAC,EAAED,EAAE,EAAE,GAAGoB,EAAEw/B,GAAG3gC,CAAC,EAAE,OAAO2jC,GAAG7jC,EAAEu2B,EAAE+J,GAAGtgC,EAAE,EAAE,CAAC,EAAEqB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEhE,CAAC,CAAC,CAAC,IAAI0mC,GAAGza,EAAE,CAAC,YAAYwa,EAAE,CAAC,EAAE,SAASE,GAAG7mC,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAII,EAAE0rB,EAAEhsB,EAAE,IAAI,WAAW,EAAEO,EAAEsY,GAAG,EAAEvY,EAAE,KAAK,EAAE,EAAEkiC,GAAGliC,EAAEC,EAAE,EAAE,EAAE,EAAEmmC,GAAGpmC,EAAE,CAAC,EAAE2B,EAAEyhC,GAAG,CAAC,EAAExhC,EAAEihC,GAAGlhC,EAAE1B,CAAC,EAAE4B,EAAEwjC,GAAGzjC,CAAC,EAAEU,EAAEk2B,EAAEoD,EAAE,EAAE/5B,EAAE,KAAK,EAAEA,CAAC,EAAE,GAAGjC,EAAE,CAAC,IAAI2C,EAAEq/B,GAAGt/B,EAAE,MAAMrC,CAAC,EAAE,OAAO27B,EAAEt5B,EAAEC,CAAC,CAAC,CAAC,OAAOD,CAAC,CAAC,IAAIkkC,GAAG3a,EAAE,CAAC,WAAW0a,EAAE,CAAC,EAAE,SAASE,GAAG/mC,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,aAAa,MAAM,EAAEM,EAAE0rB,EAAE,EAAE,IAAI,aAAa,MAAM,EAAEgJ,GAAG90B,EAAE,MAAMI,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO4qB,EAAE,UAAUhL,GAAG3f,CAAC,CAAC,CAAC,IAAIymC,GAAG7a,EAAE,CAAC,YAAY4a,EAAE,CAAC,EAAE,SAASE,GAAGjnC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,aAAa,MAAM,CAAC,EAAE,OAAOkrB,EAAE,UAAU/K,GAAGjgB,CAAC,CAAC,CAAC,IAAIgnC,GAAG/a,EAAE,CAAC,YAAY8a,EAAE,CAAC,EAAE,SAASE,GAAGnnC,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,YAAY,MAAM,EAAEM,EAAE0rB,EAAE,EAAE,IAAI,YAAY,MAAM,EAAEgJ,GAAG90B,EAAE,MAAMI,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO4qB,EAAE,UAAU9K,GAAG7f,CAAC,CAAC,CAAC,IAAI6mC,GAAGjb,EAAE,CAAC,WAAWgb,EAAE,CAAC,EAAE,SAASE,GAAGrnC,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,aAAa,MAAM,EAAEM,EAAE0rB,EAAE,EAAE,IAAI,aAAa,MAAM,EAAE,OAAOgJ,GAAG90B,EAAE,MAAMI,EAAE,KAAK,EAAE0mC,GAAGI,GAAGpnC,EAAE,CAAC,EAAEknC,GAAGF,GAAGhnC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIsnC,GAAGnb,EAAE,CAAC,YAAYkb,EAAE,CAAC,EAAME,GAAG,WAAW,SAASC,GAAGxnC,EAAE,EAAEE,EAAE,OAAO,CAAC,IAAII,EAAE0rB,EAAEhsB,EAAE,iBAAiB,cAAc,EAAEO,EAAEyrB,EAAE,EAAE,SAAS,cAAc,EAAE,EAAE1rB,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAG,EAAEC,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAG0B,EAAEi6B,EAAE57B,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE4B,EAAEg6B,EAAE37B,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE,GAAG0B,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,sDAAsD,EAAE,GAAGA,EAAE,MAAM,KAAKC,EAAE,MAAM,GAAG,MAAM,IAAI,MAAM,gEAAgE,EAAE,GAAGkW,GAAGlW,EAAE,KAAK,GAAGqlC,GAAG,MAAM,IAAI,MAAM,qCAAqCA,IAAI,EAAE,GAAGtlC,EAAE,MAAM,IAAIslC,GAAG,MAAM,IAAI,MAAM,oCAAoCA,iCAAiCtlC,EAAE,MAAM,IAAI,EAAE,IAAIE,EAAE,CAAC,eAAeF,EAAE,OAAOC,CAAC,EAAEU,EAAE,CAAC,KAAK1C,CAAC,EAAE,OAAOgrB,EAAE,UAAU5H,GAAGnhB,EAAES,CAAC,CAAC,CAAC,IAAI6kC,GAAGtb,EAAE,CAAC,cAAcqb,EAAE,CAAC,EAAE,SAASE,GAAG1nC,EAAE,EAAE,CAAC,OAAOynC,GAAGznC,EAAE,EAAE,MAAM,CAAC,CAAC,SAAS2nC,GAAG3nC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAEyrB,EAAEhsB,EAAE,IAAI,SAAS,EAAE,EAAE,EAAEiC,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGD,EAAEi6B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAGpkB,EAAE7V,EAAE,OAAO,EAAE,IAAI,uDAAuDA,EAAE,OAAO,EAAE6V,EAAEikB,GAAG77B,EAAE,CAAC,EAAE,IAAI,wEAAwEA,oBAAoB,IAAI,EAAE87B,GAAG,UAAU17B,EAAEC,CAAC,EAAE,IAAI4B,EAAE,CAAC,EAAEF,CAAC,EAAEW,EAAE,CAAC,WAAW,EAAE,QAAQ1C,EAAE,IAAII,EAAE,gBAAgBC,CAAC,EAAEsC,EAAEqoB,EAAE,UAAUtK,GAAGze,EAAES,CAAC,EAAE,OAAOV,EAAEg6B,EAAEr5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAI+kC,GAAGzb,EAAE,CAAC,SAASwb,EAAE,CAAC,EAAE,SAASE,GAAG7nC,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEE,EAAEI,EAAEC,EAAE,EAAE,QAAQ,CAAC,IAAI,EAAEyrB,EAAEhsB,EAAE,IAAI,WAAW,EAAEiC,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGD,EAAEi6B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAGpkB,EAAE7V,EAAE,OAAO,EAAE,IAAI,qDAAqDA,EAAE,OAAO,EAAE6V,EAAE,IAAI,QAAQ,IAAI,gFAAgF,GAAG,EAAEkkB,GAAG,YAAY17B,EAAEC,CAAC,EAAE,IAAI4B,EAAE,CAAC,EAAEF,CAAC,EAAEW,EAAE,CAAC,WAAW,EAAE,QAAQ1C,EAAE,IAAII,EAAE,gBAAgBC,EAAE,WAAW,CAAC,EAAEsC,EAAEqoB,EAAE,UAAUpK,GAAG3e,EAAES,CAAC,EAAE,OAAOV,EAAEg6B,EAAEr5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIilC,GAAG3b,EAAE,CAAC,WAAW0b,EAAE,CAAC,EAAE,SAASE,GAAG/nC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,GAAG,CAAC,IAAIyB,EAAE,CAAC,EAAEgqB,EAAEhsB,EAAE,IAAI,mBAAmB,CAAC,EAAEiC,EAAE,CAAC,WAAW,EAAE,QAAQ/B,EAAE,IAAII,EAAE,oBAAoBC,CAAC,EAAE2B,EAAEgpB,EAAE,UAAUlK,GAAGhf,EAAEC,CAAC,EAAE,MAAM,CAAC,OAAOC,EAAE,GAAG,QAAQA,EAAE,EAAE,CAAC,CAAC,IAAI8lC,GAAG7b,EAAE,CAAC,mBAAmB4b,EAAE,CAAC,EAAE,SAASE,GAAGjoC,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,SAAS,EAAEM,EAAE0rB,EAAE,EAAE,IAAI,SAAS,EAAE,CAAC9rB,EAAEI,CAAC,EAAE8pB,GAAGlqB,EAAEI,CAAC,EAAEJ,EAAE,QAAQ,SAASA,EAAEuwB,GAAEvwB,EAAE,OAAO,EAAEI,EAAEmwB,GAAEnwB,EAAE,OAAO,GAAG00B,GAAG90B,EAAE,MAAMI,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO4qB,EAAE,UAAUvK,GAAGpgB,CAAC,CAAC,CAAC,IAAI2nC,GAAG/b,EAAE,CAAC,SAAS8b,EAAE,CAAC,EAAE,SAASE,GAAGnoC,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAIK,EAAE,CAAC,EAAEyrB,EAAEhsB,EAAE,IAAI,MAAM,CAAC,EAAE+B,EAAE,CAAC,KAAK,EAAE,SAAS7B,CAAC,EAAE,OAAOgrB,EAAE,UAAUjK,GAAG1gB,EAAEwB,CAAC,CAAC,CAAC,IAAIqmC,GAAGjc,EAAE,CAAC,MAAMgc,EAAE,CAAC,EAAE,SAASE,GAAGroC,EAAE,EAAE,UAAU,CAAC,GAAG,IAAI,YAAY,CAAC,IAAIM,EAAE+nC,GAAGroC,EAAE,SAAS,EAAEO,EAAE8nC,GAAGroC,EAAE,SAAS,EAAE,OAAOqsB,GAAG/rB,EAAEC,CAAC,CAAC,CAAC,IAAIL,EAAE8Z,GAAG5B,GAAGpY,CAAC,EAAE,CAAC,EAAE,OAAOkrB,EAAE,WAAWhrB,EAAEF,EAAE,CAAC,CAAC,CAAC,SAASsoC,GAAGtoC,EAAE,EAAE,UAAU,CAAC,GAAG,IAAI,YAAY,CAAC,IAAIM,EAAEgoC,GAAGtoC,EAAE,SAAS,EAAEO,EAAE8nC,GAAGroC,EAAE,SAAS,EAAE,OAAOqsB,GAAG/rB,EAAEC,CAAC,CAAC,CAAC,IAAIL,EAAE6Z,GAAG3B,GAAGpY,CAAC,EAAE,CAAC,EAAE,OAAOkrB,EAAE,WAAWhrB,EAAEF,EAAE,CAAC,CAAC,CAAC,SAASuoC,GAAGvoC,EAAE,EAAE,CAAC,SAASE,EAAE,IAAI,EAAE,CAAC,EAAE,CAAC,GAAGA,IAAI,MAAMA,IAAI,KAAK,MAAM,IAAI,UAAU,GAAGA,6CAA6C,EAAE,GAAGF,IAAI,OAAO,MAAM,CAAC,EAAE,IAAIM,EAAE0rB,EAAEhsB,EAAE,IAAI,WAAWA,aAAa6pB,GAAG7pB,EAAE,MAAM,SAAS,EAAE,GAAG,IAAI,OAAO,MAAM,CAACM,CAAC,EAAE,IAAIC,EAAEyrB,EAAE,EAAE,IAAI,WAAW,aAAanC,GAAG,EAAE,MAAM,SAAS,EAAE,EAAEzR,GAAG9X,EAAE,KAAK,EAAE,EAAE8X,GAAG7X,EAAE,KAAK,EAAE,OAAOL,IAAI,MAAMI,EAAE47B,EAAE57B,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEC,EAAE27B,EAAE37B,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE,CAACuyB,GAAGwV,GAAG,CAAC,EAAE,CAAC,EAAEhoC,EAAE,KAAK,EAAEA,CAAC,EAAEwyB,GAAGvyB,EAAE+nC,GAAG,CAAC,EAAE,CAAC,EAAE/nC,EAAE,KAAK,CAAC,CAAC,IAAID,EAAE47B,EAAE57B,EAAE,CAAC,GAAG,CAAC,CAAC,EAAEC,EAAE27B,EAAE37B,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,CAACuyB,GAAGxyB,EAAEgoC,GAAG,CAAC,EAAE,CAAC,EAAEhoC,EAAE,KAAK,CAAC,EAAEwyB,GAAGwV,GAAG,CAAC,EAAE,CAAC,EAAE/nC,EAAE,KAAK,EAAEA,CAAC,CAAC,EAAE,CAAC,SAASioC,GAAGxoC,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,SAAS,EAAEM,EAAE0rB,EAAE,EAAE,IAAI,SAAS,EAAE,CAAC9rB,EAAEI,CAAC,EAAE8pB,GAAGlqB,EAAEI,CAAC,EAAEJ,EAAE,QAAQ,SAASA,EAAEuwB,GAAEvwB,EAAE,OAAO,EAAEI,EAAEmwB,GAAEnwB,EAAE,OAAO,GAAG00B,GAAG90B,EAAE,MAAMI,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO4qB,EAAE,UAAU/J,GAAG5gB,CAAC,CAAC,CAAC,IAAIkoC,GAAGtc,EAAE,CAAC,SAASqc,EAAE,CAAC,EAAE,SAASE,GAAG1oC,EAAE,EAAEE,EAAE,CAAC4X,EAAE5X,IAAI,WAAWA,IAAI,YAAY,IAAI,+DAA+DA,IAAI,EAAE,IAAII,EAAE0rB,EAAEhsB,EAAE,IAAI,WAAW,EAAE,GAAGM,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,gEAAgE,EAAEwX,EAAE,EAAE,SAASxX,EAAE,KAAK,IAAI,wCAAwCA,EAAE,aAAa,EAAE,SAAS,EAAE,IAAIC,EAAEL,IAAI,UAAU,EAAE,EAAE,QAAQ+B,EAAE,EAAEA,EAAE3B,EAAE,KAAK2B,IAAI6V,EAAE,EAAE7V,GAAG,SAAS,EAAE,IAAI,uDAAuD,EAAE6V,EAAE,EAAE7V,GAAG,IAAI,GAAG,EAAEA,GAAG,IAAI3B,EAAE,MAAM2B,GAAG1B,GAAG,EAAE0B,GAAG,IAAI,GAAG,EAAEA,GAAG,IAAI3B,EAAE,MAAM2B,GAAG1B,EAAE,IAAI,wBAAwB0B,wCAAwC3B,EAAE,MAAM2B,GAAG1B,uCAAuCD,EAAE,OAAO,EAAE,IAAI,EAAE,CAAC,SAAS,EAAE,KAAKJ,CAAC,EAAE,EAAE,CAAC,EAAEI,CAAC,EAAE,OAAO4qB,EAAE,UAAU9J,GAAG,EAAE,CAAC,CAAC,CAAC,IAAIunB,GAAGxc,EAAE,CAAC,WAAWuc,EAAE,CAAC,EAAE,SAASE,GAAG5oC,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,KAAK,EAAEM,EAAE0rB,EAAE,EAAE,IAAI,KAAK,EAAE,CAAC9rB,EAAEI,CAAC,EAAE8pB,GAAGlqB,EAAEI,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO4qB,EAAE,UAAU7J,GAAG9gB,CAAC,CAAC,CAAC,IAAIsoC,GAAG1c,EAAE,CAAC,KAAKyc,EAAE,CAAC,EAAE,SAASE,GAAG9oC,EAAE,EAAE,KAAKE,EAAE,GAAG,CAACF,EAAEgsB,EAAEhsB,EAAE,IAAI,SAAS,EAAE,IAAIM,EAAEuY,GAAG,EAAE7Y,EAAE,KAAK,EAAEO,EAAE6nC,GAAGpoC,EAAEM,EAAEJ,CAAC,EAAE,EAAEK,EAAE,MAAML,IAAI,EAAEgiC,GAAG3hC,EAAE,MAAMD,CAAC,GAAG,IAAI,EAAE2iC,GAAGyD,GAAGjW,GAAEzwB,EAAE,SAAS,EAAEk8B,EAAE37B,EAAE,CAAC,CAAC,CAAC,EAAE0B,EAAEmmC,GAAG,EAAE9nC,EAAEJ,CAAC,EAAE,MAAM,CAAC,KAAKK,EAAE,SAAS0B,CAAC,CAAC,CAAC,IAAI8mC,GAAG5c,EAAE,CAAC,SAAS2c,EAAE,CAAC,EAAE,SAASE,GAAGhpC,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEyrB,EAAE,EAAE,OAAO,cAAc,EAAE,EAAEC,GAAG/rB,EAAE,IAAI,cAAc,EAAE,EAAE+rB,GAAG3rB,EAAE,IAAI,cAAc,EAAE2B,EAAE1B,EAAE2B,EAAE,CAAC,EAAE,QAAQW,EAAE,EAAEA,EAAE7C,EAAE,OAAO6C,IAAI,CAAC,IAAIC,EAAE9C,EAAE6C,GAAGZ,EAAE,EAAEY,GAAG,EAAEA,EAAE,EAAEX,EAAE,KAAKY,EAAE,EAAE,EAAEZ,EAAE,KAAKY,EAAE,EAAE,EAAEb,EAAEa,EAAE,EAAE,CAAC,IAAIX,EAAE,CAAC,EAAES,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEX,EAAE,OAAOW,GAAG,EAAEV,EAAE,KAAKD,EAAEW,EAAE,EAAED,EAAE,KAAKV,EAAEW,EAAE,EAAE,EAAE,MAAM,CAACV,EAAES,CAAC,CAAC,CAAC,IAAIqmC,GAAG9c,EAAE,CAAC,cAAc6c,EAAE,CAAC,EAAE,SAASE,GAAGlpC,EAAE,EAAEE,EAAEI,EAAE,GAAG,CAAC,IAAIC,EAAEyrB,EAAEhsB,EAAE,SAAS,aAAa,EAAE,EAAEO,EAAE,KAAK,EAAEA,EAAE,KAAK,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,+DAA+D,IAAI,EAAE,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,gDAAgD,GAAG,EAAEL,EAAEA,GAAG,KAAK,OAAO,EAAE,IAAIgC,EAAE,CAAC,OAAO,IAAI,EAAEg6B,EAAE37B,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEA,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,KAAKL,EAAE,WAAWI,CAAC,EAAEsC,EAAEsoB,EAAE,UAAU5J,GAAGpf,EAAE,CAAC,EAAE,OAAO,IAAI,EAAEg6B,EAAEt5B,EAAE,CAACA,EAAE,IAAI,CAAC,EAAEA,CAAC,CAAC,IAAIumC,GAAGhd,EAAE,CAAC,aAAa+c,EAAE,CAAC,EAAE,SAASE,GAAGppC,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,WAAW,mBAAmB,EAAEM,EAAE0rB,EAAE,EAAE,IAAI,WAAW,mBAAmB,EAAE,CAAC9rB,EAAEI,CAAC,EAAE8pB,GAAGlqB,EAAEI,CAAC,EAAE00B,GAAG90B,EAAE,MAAMI,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,OAAO4qB,EAAE,UAAUzJ,GAAGlhB,CAAC,CAAC,CAAC,IAAI8oC,GAAGld,EAAE,CAAC,UAAUid,EAAE,CAAC,EAAE,SAASE,GAAGtpC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,UAAU,CAAC,EAAE,OAAOkrB,EAAE,UAAUrJ,GAAG3hB,CAAC,CAAC,CAAC,IAAIqpC,GAAGpd,EAAE,CAAC,UAAUmd,EAAE,CAAC,EAAE,SAASE,GAAGxpC,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,KAAK,cAAc,EAAEM,EAAE0rB,EAAE,EAAE,KAAK,cAAc,EAAElU,EAAE5X,EAAE,OAAO,GAAGI,EAAE,OAAO,EAAE,IAAI,+DAA+DJ,EAAE,YAAYI,EAAE,OAAO,EAAE,IAAIC,EAAE27B,EAAEh8B,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE,EAAEg8B,EAAE57B,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,OAAOwyB,GAAGvyB,EAAE,CAAC,CAAC,CAAC,IAAIkpC,GAAGtd,EAAE,CAAC,cAAcqd,EAAE,CAAC,EAAE,SAASE,GAAG1pC,EAAE,EAAEE,EAAE,EAAE,CAAC,IAAII,EAAE0rB,EAAEhsB,EAAE,IAAI,KAAK,EAAE,GAAGM,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,oDAAoD,EAAE,IAAIC,EAAE,CAAC,SAAS,EAAE,cAAcL,CAAC,EAAE,EAAE,CAAC,EAAEI,CAAC,EAAE,OAAO4qB,EAAE,UAAUlJ,GAAG,EAAEzhB,CAAC,CAAC,CAAC,IAAIopC,GAAGxd,EAAE,CAAC,KAAKud,EAAE,CAAC,EAAE,SAASE,GAAG5pC,EAAE,EAAEE,EAAE,EAAE,CAAC,OAAO4X,EAAE,EAAE,SAAS,EAAE,IAAI,kDAAkD,EAAE6xB,GAAG3pC,EAAE,CAAC,CAAC,EAAEE,CAAC,CAAC,CAAC,IAAI2pC,GAAG1d,EAAE,CAAC,OAAOyd,EAAE,CAAC,EAAE,SAASE,GAAG9pC,EAAE,EAAEE,EAAE,EAAE,CAAC,OAAO4X,EAAE,EAAE,SAAS,GAAG,EAAE,GAAG,SAAS,GAAG,EAAE,GAAG,SAAS,EAAE,IAAI,uDAAuD,EAAE6xB,GAAG3pC,EAAE,EAAEE,CAAC,CAAC,CAAC,IAAI6pC,GAAG5d,EAAE,CAAC,OAAO2d,EAAE,CAAC,EAAE,SAASE,GAAGhqC,EAAE,EAAEE,EAAE,EAAE,CAAC,OAAO4X,EAAE,EAAE,SAAS,GAAG,EAAE,GAAG,SAAS,GAAG,EAAE,GAAG,SAAS,GAAG,EAAE,GAAG,SAAS,EAAE,IAAI,uDAAuD,EAAE6xB,GAAG3pC,EAAE,EAAEE,CAAC,CAAC,CAAC,IAAI+pC,GAAG9d,EAAE,CAAC,OAAO6d,EAAE,CAAC,EAAE,SAASE,GAAGlqC,EAAE,EAAEE,EAAE,EAAE,CAAC,OAAO4X,EAAE,EAAE,SAAS,GAAG,EAAE,GAAG,SAAS,GAAG,EAAE,GAAG,SAAS,GAAG,EAAE,GAAG,SAAS,GAAG,EAAE,GAAG,SAAS,EAAE,IAAI,uDAAuD,EAAE6xB,GAAG3pC,EAAE,EAAEE,CAAC,CAAC,CAAC,IAAIiqC,GAAGhe,EAAE,CAAC,OAAO+d,EAAE,CAAC,EAAE,SAASE,GAAGpqC,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE0rB,EAAEhsB,EAAE,IAAI,gBAAgB,EAAE8X,EAAExX,EAAE,MAAM,EAAE,EAAE,OAAO,IAAI,cAAcA,EAAE,sCAAsC,EAAE,QAAQ,EAAEwX,EAAE5X,EAAE,SAAS,EAAE,OAAO,IAAI,qBAAqBA,EAAE,wCAAwC,EAAE,QAAQ,EAAE4X,EAAExX,EAAE,MAAM,OAAO,CAAC,EAAE2B,EAAEC,IAAIA,EAAE,GAAGA,GAAG,EAAE,OAAO,IAAID,EAAE/B,EAAEgC,EAAE,GAAG,GAAGhC,EAAEgC,EAAE,GAAG,IAAI,EAAEA,EAAE,KAAK,EAAE,EAAE,EAAE,EAAE,IAAI,4BAA4B5B,EAAE,MAAM,MAAM,CAAC,mBAAmBJ,EAAE,SAAS,sCAAsC,EAAE,SAAS,GAAG,EAAE,IAAIK,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,SAASJ,CAAC,EAAE,OAAOgrB,EAAE,UAAUjH,GAAG1jB,EAAE,CAAC,CAAC,CAAC,IAAI8pC,GAAGle,EAAE,CAAC,gBAAgBie,EAAE,CAAC,EAAE,SAASE,GAAGtqC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,EAAE,CAAC,GAAG,GAAG,OAAO,EAAE,GAAGD,IAAI,IAAIA,EAAE,SAAS,IAAI2B,EAAE+pB,EAAEhsB,EAAE,IAAI,SAAS,EAAEkC,EAAED,EAAEE,EAAE,GAAGF,EAAE,OAAO,IAAIE,EAAE,GAAGD,EAAEg6B,EAAEj6B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG6V,EAAEikB,GAAG,EAAEx7B,CAAC,EAAE,IAAI,qEAAqE,oBAAoBA,IAAI,EAAE,IAAIqC,EAAEs4B,GAAGh5B,EAAE,MAAM,EAAE,EAAE3B,EAAED,CAAC,EAAEuC,EAAE,CAACD,EAAE,eAAeA,EAAE,aAAa,EAAEE,EAAExC,IAAI,OAAOwC,EAAEynC,GAAG,CAAC3nC,EAAE,aAAaA,EAAE,WAAW,EAAEC,CAAC,EAAEC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,IAAIC,EAAEF,EAAE,KAAK,GAAGA,EAAE,KAAK,EAAE,CAACG,EAAEkB,CAAC,EAAEsmC,GAAG,CAAC5nC,EAAE,SAASA,EAAE,OAAO,EAAEC,EAAEC,CAAC,EAAE,EAAEC,EAAEzC,EAAE,QAAQiH,EAAExE,EAAEb,EAAEmoC,GAAGnoC,EAAEW,EAAEG,CAAC,EAAE2B,GAAGzE,IAAI,MAAM,IAAIk8B,GAAG70B,EAAE,EAAE,EAAE,EAAE,CAAC,EAAE,IAAIqgC,GAAGrgC,EAAE,EAAE,EAAE,EAAE,CAAC,GAAG,EAAE3C,EAAE7B,EAAE4B,EAAEu4B,GAAGv4B,EAAE9B,EAAEqB,CAAC,EAAE,OAAO/B,EAAE+5B,EAAEt3B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,SAAS4lC,GAAGxqC,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEJ,EAAE,IAAI0C,GAAGA,EAAE,EAAE,EAAErC,EAAEL,EAAE,IAAI0C,GAAGA,EAAE,EAAE,EAAE,EAAE5C,EAAE,OAAOM,EAAEC,CAAC,EAAE,EAAE,EAAE,IAAI,CAACqC,EAAEC,KAAKD,EAAE,EAAEC,GAAGD,GAAGA,CAAC,EAAEX,EAAE1B,EAAE,IAAI,CAACqC,EAAEC,IAAID,EAAE,EAAEC,EAAE,EAAEX,EAAE,EAAE,IAAI,CAACU,EAAEC,IAAI,CAACvC,EAAEuC,GAAGZ,EAAEY,EAAE,CAAC,EAAEV,EAAE,EAAE,IAAI,CAACS,EAAEC,IAAI,CAAC,EAAE,EAAEA,EAAE,CAAC,EAAE,MAAM,CAACX,EAAEC,CAAC,CAAC,CAAC,SAASooC,GAAGvqC,EAAE,EAAE,CAAC,IAAI,EAAEA,EAAE,IAAI,CAACgC,EAAEC,IAAID,GAAGA,EAAE,IAAI,EAAEC,GAAG,EAAE,EAAE,IAAID,GAAGA,EAAE,CAAC,EAAEzB,EAAE,EAAE,IAAIyB,GAAG,KAAK,MAAMA,EAAE,CAAC,CAAC,EAAED,EAAE,EAAE,IAAI,CAACC,EAAEC,IAAID,EAAEzB,EAAE0B,EAAE,EAAE,OAAO,EAAE,IAAI,CAACD,EAAEC,IAAI,CAAC1B,EAAE0B,GAAGF,EAAEE,EAAE,CAAC,CAAC,CAAC,IAAIwoC,GAAGte,EAAE,CAAC,MAAMme,EAAE,CAAC,EAAE,SAASI,GAAG1qC,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,OAAO,EAAEM,EAAE0rB,EAAE,EAAE,QAAQ,OAAO,EAAEzrB,EAAE,CAAC,EAAEL,EAAE,MAAMI,CAAC,EAAE,OAAO4qB,EAAE,UAAU/I,GAAG5hB,CAAC,CAAC,CAAC,IAAIoqC,GAAGxe,EAAE,CAAC,OAAOue,EAAE,CAAC,EAAE,SAASE,GAAG5qC,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAII,EAAE0rB,EAAEhsB,EAAE,IAAI,MAAM,EAAEM,EAAE,QAAQ,SAASA,EAAEmwB,GAAEnwB,EAAE,OAAO,GAAG,IAAIC,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAASJ,CAAC,EAAE,OAAOgrB,EAAE,UAAU9I,GAAG7hB,EAAE,CAAC,CAAC,CAAC,IAAIsqC,GAAG1e,EAAE,CAAC,MAAMye,EAAE,CAAC,EAAE,SAASE,GAAG9qC,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEP,EAAE,IAAI,CAAC4C,EAAEC,IAAImpB,EAAEppB,EAAE,UAAUC,IAAI,eAAe,OAAO,CAAC,EAAE,EAAEmpB,EAAE,EAAE,oBAAoB,cAAc,EAAE,EAAEA,EAAE9rB,EAAE,UAAU,eAAe,OAAO,EAAE+B,EAAE,CAAC,mBAAmB1B,EAAE,kBAAkB,EAAE,QAAQ,CAAC,EAAE2B,EAAE,CAAC,iBAAiB5B,CAAC,EAAE6B,EAAE+oB,EAAE,UAAU7I,GAAGpgB,EAAEC,CAAC,EAAE,MAAM,CAAC,mBAAmBC,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,EAAE,kBAAkBA,EAAEA,EAAE,OAAO,EAAE,CAAC,CAAC,IAAI4oC,GAAG5e,EAAE,CAAC,cAAc2e,EAAE,CAAC,EAAE,SAASE,GAAGhrC,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE0rB,EAAEhsB,EAAE,SAAS,aAAa,EAAEO,EAAEyrB,EAAE,EAAE,SAAS,cAAc1rB,EAAE,KAAK,EAAE,EAAE0rB,EAAE9rB,EAAE,SAAS,cAAcI,EAAE,KAAK,EAAE,EAAE,CAAC,OAAOA,EAAE,OAAOC,EAAE,OAAO,CAAC,EAAE0B,EAAEipB,EAAE,UAAU5I,GAAG,CAAC,EAAE,MAAM,CAAC,eAAergB,EAAE,GAAG,cAAcA,EAAE,EAAE,CAAC,CAAC,IAAIgpC,GAAG9e,EAAE,CAAC,aAAa6e,EAAE,CAAC,EAAE,SAASE,GAAGlrC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAEyrB,EAAEhsB,EAAE,QAAQ,uBAAuB,OAAO,EAAE,EAAEgsB,EAAE,EAAE,SAAS,sBAAsB,EAAE/pB,EAAE+pB,EAAE9rB,EAAE,eAAe,uBAAuB,EAAE,KAAK,EAAEgC,EAAE5B,EAAE,IAAI,CAACuC,EAAEC,IAAIkpB,EAAEnpB,EAAE,UAAUC,IAAI,uBAAuB,OAAO,CAAC,EAAEX,EAAE,CAAC,MAAM,EAAE,OAAO,EAAE,aAAaF,EAAE,oBAAoBC,CAAC,EAAEU,EAAE,CAAC,kBAAkBrC,CAAC,EAAE,OAAO2qB,EAAE,UAAU3I,GAAGpgB,EAAES,CAAC,CAAC,CAAC,IAAIuoC,GAAGhf,EAAE,CAAC,sBAAsB+e,EAAE,CAAC,EAAE,SAASE,GAAGprC,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE8X,GAAGpY,CAAC,EAAEO,EAAE,KAAK,GAAGL,GAAG,MAAMA,IAAI,UAAUK,EAAE,IAAI,aAAaD,CAAC,UAAUJ,IAAI,QAAQK,EAAE,IAAI,WAAWD,CAAC,UAAUJ,IAAI,OAAOK,EAAE,IAAI,WAAWD,CAAC,MAAO,OAAM,IAAI,MAAM,qBAAqBJ,GAAG,EAAE,QAAQ,EAAE,EAAE,EAAEI,EAAE,IAAIC,EAAE,GAAG,EAAE,EAAE,OAAO2qB,EAAE,WAAW3qB,EAAEP,EAAEE,CAAC,CAAC,CAAC,IAAImrC,GAAGlf,EAAE,CAAC,MAAMif,EAAE,CAAC,EAAME,GAAG9qC,GAAG+E,GAAG,CAAC,EAAMgmC,GAAG,KAAK,CAAC,YAAYzqC,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,KAAK,KAAKjB,EAAE,KAAK,OAAOZ,EAAE,KAAK,MAAM,EAAE,KAAK,QAAQ,IAAI,KAAK,UAAUK,EAAE,KAAK,YAAY,KAAK,MAAM,KAAK,KAAK,KAAK,OAAO,EAAE,KAAK,MAAM,KAAK,KAAK,KAAK,OAAO,GAAG,IAAIyB,EAAED,GAAG,KAAK,OAAO,EAAE,KAAK,OAAOupC,GAAG,KAAKtpC,EAAE,SAAS,CAAC,CAAC,CAAC,WAAW,CAAC,GAAG,CAAC,MAAM,KAAK,OAAO,EAAE,CAAC,IAAIzB,EAAE,KAAK,QAAQ,OAAO,KAAK,QAAQ,IAAIA,CAAC,CAAC,IAAIO,EAAEZ,EAAE,EAAE,GAAG,KAAK,CAAC,GAAG,CAAC,IAAIK,EAAEwB,EAAEC,EAAE,GAAGzB,EAAE,EAAE,KAAK,OAAO,EAAE,EAAEwB,EAAE,EAAE,KAAK,OAAO,EAAE,EAAEC,EAAEzB,EAAEA,EAAEwB,EAAEA,QAAQC,GAAG,GAAGA,IAAI,GAAG,IAAIC,EAAE,KAAK,KAAK,GAAG,KAAK,IAAID,CAAC,EAAEA,CAAC,EAAElB,EAAE,KAAK,KAAK,KAAK,OAAOP,EAAE0B,EAAE/B,EAAE,KAAK,KAAK,KAAK,OAAO6B,EAAEE,GAAG,CAAC,KAAK,WAAW,KAAK,iBAAiBnB,CAAC,KAAK,EAAE,GAAG,CAAC,OAAO,CAAC,KAAK,WAAW,KAAK,iBAAiBZ,CAAC,KAAK,KAAK,QAAQ,KAAK,aAAaA,CAAC,GAAG,KAAK,aAAaY,CAAC,CAAC,CAAC,aAAaA,EAAE,CAAC,OAAO,KAAK,OAAO,MAAM,KAAK,QAAQ,UAAUA,EAAE,KAAK,MAAMA,CAAC,CAAC,CAAC,iBAAiBA,EAAE,CAAC,OAAOA,GAAG,KAAK,OAAOA,GAAG,KAAK,KAAK,CAAC,EAAE0qC,GAAG,KAAK,CAAC,YAAY1qC,EAAEZ,EAAE,EAAEK,EAAE,CAAC,KAAK,MAAMO,EAAE,KAAK,KAAK,EAAEZ,EAAE,KAAK,MAAM,EAAE,IAAI6B,EAAExB,GAAG,KAAK,OAAO,EAAE,KAAK,MAAM+qC,GAAG,KAAKvpC,EAAE,SAAS,CAAC,EAAE,KAAK,MAAM,IAAIwpC,GAAG,EAAE,EAAE,EAAE,GAAG,KAAK,MAAM,CAAC,EAAEzqC,EAAE,EAAE,KAAK,EAAEA,EAAE,EAAE,EAAE,KAAK,EAAEA,EAAE,EAAE,EAAE,KAAK,EAAE,EAAE,KAAK,KAAK,EAAE,KAAK,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAE,OAAO,CAAC,GAAGzB,EAAE,KAAK,MAAM,UAAU,EAAEyB,EAAE,EAAE,KAAK,EAAEzB,QAAQyB,GAAG,GAAG,GAAGA,GAAGA,EAAEA,EAAElB,EAAEP,EAAEA,EAAEL,EAAE,EAAE,KAAKY,EAAEA,EAAE,EAAE,GAAGA,EAAE,KAAK,GAAG,EAAEkB,EAAE,KAAK,IAAIA,CAAC,GAAGD,EAAE,KAAK,MAAM,EAAEA,EAAE7B,GAAG,KAAK,IAAI6B,CAAC,EAAE,EAAE,KAAK,CAAC,OAAOC,EAAE,EAAE,KAAK,KAAK,KAAK,EAAEA,EAAE,KAAK,MAAM,IAAIA,GAAG,KAAK,IAAI,KAAK,MAAM,EAAE,EAAE,KAAK,KAAK,GAAG,KAAK,aAAaA,CAAC,CAAC,CAAC,aAAalB,EAAE,CAAC,OAAO,KAAK,QAAQ,UAAUA,EAAE,KAAK,MAAMA,CAAC,CAAC,CAAC,EAAE2qC,GAAG,KAAK,CAAC,YAAY3qC,EAAE,EAAEZ,EAAE,EAAE,EAAEK,EAAE,CAAC,GAAG,KAAK,eAAe,IAAI,KAAK,OAAO,MAAM,KAAK,QAAQ,UAAU,KAAK,IAAIO,EAAE,KAAK,MAAMZ,EAAEY,EAAE,KAAK,MAAM,EAAEP,GAAG,OAAOA,EAAE,KAAK,OAAO,GAAG,OAAOA,GAAG,WAAWA,EAAEA,EAAE,SAAS,GAAG,CAAC,KAAK,eAAe,GAAG,KAAK,OAAO,EAAE,MAAM,IAAI,MAAM,0BAA0BO,OAAOZ,+BAA+B,EAAE,KAAK,OAAOorC,GAAG,KAAK/qC,CAAC,CAAC,CAAC,aAAaO,EAAE,CAAC,OAAO,KAAK,eAAe,EAAEA,EAAE,KAAK,MAAMA,CAAC,CAAC,CAAC,WAAW,CAAC,OAAO,KAAK,aAAa,KAAK,IAAI,KAAK,MAAM,KAAK,OAAO,CAAC,CAAC,CAAC,EAAE,SAAS4qC,GAAG1rC,EAAE,EAAEE,EAAE,EAAEI,EAAE,UAAUC,EAAE,CAAC,GAAGL,GAAG,OAAOA,EAAE,GAAGI,GAAG,OAAOA,EAAE,WAAWA,IAAI,WAAWA,IAAI,QAAQ,MAAM,IAAI,MAAM,yBAAyBA,GAAG,EAAE,IAAI,EAAE,IAAIkrC,GAAG,EAAEtrC,EAAEI,EAAEC,CAAC,EAAE,EAAEgwB,GAAGvwB,EAAEM,CAAC,EAAE,QAAQ2B,EAAE,EAAEA,EAAE,EAAE,OAAO,OAAOA,IAAI,EAAE,OAAOA,GAAG,EAAE,UAAU,EAAE,OAAO,EAAE,SAAS,CAAC,CAAC,IAAI0pC,GAAGxf,EAAE,CAAC,aAAauf,EAAE,CAAC,EAAE,SAASE,GAAG5rC,EAAE,EAAE,EAAEE,EAAE,EAAEI,EAAEC,EAAE,CAAC,GAAGD,GAAG,MAAMA,IAAI,OAAO,MAAM,IAAI,MAAM,yBAAyBA,GAAG,EAAE,IAAI,EAAE,IAAIirC,GAAG,EAAErrC,EAAEI,EAAE,GAAGC,CAAC,EAAE,EAAEgwB,GAAGvwB,EAAEM,CAAC,EAAE,QAAQ2B,EAAE,EAAEA,EAAE,EAAE,OAAO,OAAOA,IAAI,EAAE,OAAOA,GAAG,EAAE,UAAU,EAAE,OAAO,EAAE,SAAS,CAAC,CAAC,IAAI4pC,GAAG1f,EAAE,CAAC,cAAcyf,EAAE,CAAC,EAAE,SAASE,GAAG9rC,EAAE,EAAEE,EAAE,CAAC,GAAG,GAAG,MAAM,IAAI,OAAO,MAAM,IAAI,MAAM,yBAAyB,GAAG,EAAE,OAAO2rC,GAAG7rC,EAAE,EAAE,EAAE,EAAEE,CAAC,CAAC,CAAC,IAAI6rC,GAAG5f,EAAE,CAAC,sBAAsB2f,EAAE,CAAC,EAAE,SAASE,GAAGhsC,EAAE,EAAE,EAAEE,EAAE,EAAEI,EAAE,UAAUC,EAAE,CAAC,IAAI,EAAEgwB,GAAGvwB,EAAEM,CAAC,EAAE,EAAE,IAAImrC,GAAG,EAAEvrC,EAAE,KAAKK,CAAC,EAAE,QAAQ0B,EAAE,EAAEA,EAAE,EAAE,OAAO,OAAOA,IAAI,EAAE,OAAOA,GAAG,EAAE,UAAU,EAAE,OAAO,EAAE,SAAS,CAAC,CAAC,IAAIgqC,GAAG9f,EAAE,CAAC,eAAe6f,EAAE,CAAC,EAAE,SAASE,GAAGlsC,EAAE,EAAEE,EAAE,EAAEI,EAAE,UAAU,CAAC,GAAGJ,IAAI,EAAE,MAAM,IAAI,MAAM,4BAA4B,EAAE,IAAIK,EAAE,CAAC,MAAMP,EAAE,KAAK,EAAE,KAAKE,EAAE,MAAMI,CAAC,EAAE,OAAO4qB,EAAE,UAAU1I,GAAG,CAAC,EAAEjiB,CAAC,CAAC,CAAC,SAAS4rC,GAAGnsC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,YAAY,CAAC,EAAE,OAAOkrB,EAAE,UAAUxI,GAAGxiB,CAAC,CAAC,CAAC,IAAIksC,GAAGjgB,EAAE,CAAC,YAAYggB,EAAE,CAAC,EAAE,SAASE,GAAGrsC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,MAAM,CAAC,EAAE,OAAOkrB,EAAE,UAAUvI,GAAGziB,CAAC,CAAC,CAAC,IAAIosC,GAAGngB,EAAE,CAAC,MAAMkgB,EAAE,CAAC,EAAE,SAASE,GAAGvsC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,OAAO,CAAC,EAAE,OAAOkrB,EAAE,UAAUjI,GAAG/iB,CAAC,CAAC,CAAC,IAAIssC,GAAGrgB,EAAE,CAAC,OAAOogB,EAAE,CAAC,EAAE,SAASE,GAAGzsC,EAAE,EAAE,CAAC,IAAI,EAAE,CAAC,EAAEgsB,EAAEhsB,EAAE,IAAI,SAAS,CAAC,EAAEO,EAAE,CAAC,KAAK,CAAC,EAAE,OAAO2qB,EAAE,UAAUhI,GAAG,EAAE3iB,CAAC,CAAC,CAAC,IAAImsC,GAAGvgB,EAAE,CAAC,SAASsgB,EAAE,CAAC,EAAE,SAASE,GAAG3sC,EAAE,CAAC,IAAI,EAAEgsB,EAAEhsB,EAAE,IAAI,SAAS,EAAE,OAAO8X,EAAE,EAAE,OAAO,EAAE,IAAI,qDAAqD,EAAE,OAAO,EAAE40B,GAAG,EAAE,CAAC,CAAC,CAAC,IAAIE,GAAGzgB,EAAE,CAAC,WAAWwgB,EAAE,CAAC,EAAE,SAASE,GAAG7sC,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,SAAS,EAAE,OAAO8X,EAAE5X,EAAE,OAAO,EAAE,IAAI,qDAAqDA,EAAE,OAAO,EAAEwsC,GAAGxsC,EAAE,CAAC,CAAC,CAAC,IAAI4sC,GAAG3gB,EAAE,CAAC,WAAW0gB,EAAE,CAAC,EAAE,SAASE,GAAG/sC,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,SAAS,EAAE,OAAO8X,EAAE5X,EAAE,OAAO,EAAE,IAAI,qDAAqDA,EAAE,OAAO,EAAEwsC,GAAGxsC,EAAE,CAAC,CAAC,CAAC,IAAI8sC,GAAG7gB,EAAE,CAAC,WAAW4gB,EAAE,CAAC,EAAE,SAASE,GAAGjtC,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,SAAS,EAAE,OAAO8X,EAAE5X,EAAE,OAAO,EAAE,IAAI,qDAAqDA,EAAE,OAAO,EAAEwsC,GAAGxsC,EAAE,CAAC,CAAC,CAAC,IAAIgtC,GAAG/gB,EAAE,CAAC,WAAW8gB,EAAE,CAAC,EAAE,SAASE,GAAGntC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,OAAO,CAAC,EAAE,OAAOkrB,EAAE,UAAU/H,GAAGjjB,CAAC,CAAC,CAAC,IAAIktC,GAAGjhB,EAAE,CAAC,OAAOghB,EAAE,CAAC,EAAE,SAASE,GAAGrtC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,QAAQ,SAAS,CAAC,EAAE,OAAOkrB,EAAE,UAAU9H,GAAGljB,CAAC,CAAC,CAAC,IAAIotC,GAAGnhB,EAAE,CAAC,OAAOkhB,EAAE,CAAC,EAAE,SAASE,GAAGvtC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,MAAM,CAAC,EAAE,OAAOkrB,EAAE,UAAU1H,GAAGtjB,CAAC,CAAC,CAAC,IAAIstC,GAAGrhB,EAAE,CAAC,MAAMohB,EAAE,CAAC,EAAE,SAASE,GAAGztC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,OAAO,CAAC,IAAI0B,EAAE+pB,EAAEhsB,EAAE,IAAI,iBAAiB,EAAEkC,EAAE8pB,EAAE,EAAE,kBAAkB,iBAAiB,EAAE7pB,EAAE6pB,EAAE9rB,EAAE,kBAAkB,iBAAiB,EAAE0C,EAAEX,EAAEY,EAAE,GAAG,GAAGZ,EAAE,OAAO,IAAIY,EAAE,GAAGD,EAAEs5B,EAAEj6B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,IAAI,OAAO,MAAM,IAAI,MAAM,oFAAoF,EAAE6V,EAAElV,EAAE,OAAO,EAAE,IAAI,gEAAgEA,EAAE,OAAO,EAAEkV,EAAE5V,EAAE,OAAO,EAAE,IAAI,2EAA2EA,EAAE,OAAO,EAAE4V,EAAE3V,EAAE,OAAO,EAAE,IAAI,2EAA2ED,EAAE,OAAO,EAAE4V,EAAE3V,EAAE,MAAM,KAAK,EAAE,IAAI,yFAAyFA,EAAE,MAAM,KAAK,EAAE2V,EAAE3V,EAAE,MAAM,KAAK,EAAE,IAAI,yFAAyFA,EAAE,MAAM,KAAK,EAAE,IAAIW,EAAEZ,EAAE,MAAM,GAAGa,EAAEb,EAAE,MAAM,GAAG4V,EAAE3V,EAAE,MAAM,KAAKW,EAAEC,EAAE,IAAI,6EAA6ED,EAAEC,cAAcZ,EAAE,MAAM,KAAK,EAAE,IAAIa,EAAE09B,GAAG99B,EAAEV,EAAE5B,EAAEC,EAAE,EAAE,CAAC,EAAE4D,EAAE66B,GAAGh8B,EAAEb,EAAE,EAAE,QAAQ,CAAC,EAAE,OAAOU,EAAEq5B,EAAE/3B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIupC,GAAGvhB,EAAE,CAAC,iBAAiBshB,EAAE,CAAC,EAAE,eAAeE,GAAG3tC,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,WAAW,EAAEM,EAAE0rB,EAAE,EAAE,IAAI,WAAW,EAAElU,EAAE5X,EAAE,QAAQI,EAAE,MAAM,IAAI,kDAAkDJ,EAAE,iBAAiBI,EAAE,SAAS,EAAEwX,EAAE5X,EAAE,OAAO,EAAE,IAAI,qCAAqCA,EAAE,SAAS,EAAE4X,EAAExX,EAAE,OAAO,EAAE,IAAI,qCAAqCA,EAAE,SAAS,EAAE,IAAIC,EAAE,MAAML,EAAE,KAAK,EAAE,EAAE,MAAMI,EAAE,KAAK,EAAE,EAAE,IAAI,IAAI,CAAC,EAAE2B,EAAE,EAAE,QAAQW,EAAE,EAAEA,EAAErC,EAAE,OAAOqC,IAAI,EAAE,IAAIrC,EAAEqC,EAAE,GAAGX,IAAI,IAAIC,EAAE,IAAIonB,GAAG,CAACrnB,CAAC,EAAE/B,EAAE,KAAK,EAAEiC,EAAE,IAAImnB,GAAG,CAACrnB,CAAC,EAAE,OAAO,EAAE,QAAQW,EAAE,EAAEC,EAAE,EAAED,EAAErC,EAAE,OAAOqC,IAAI,EAAE,IAAIrC,EAAEqC,EAAE,IAAIV,EAAE,OAAOW,GAAGtC,EAAEqC,GAAGT,EAAE,OAAOU,GAAGD,EAAEC,KAAK,MAAM,CAACX,EAAE,SAAS,EAAEC,EAAE,SAAS,CAAC,CAAC,CAAC,IAAIyrC,GAAGD,GAAG,SAASE,GAAG7tC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,MAAM,CAAC,EAAE,OAAOkrB,EAAE,UAAUtH,GAAG1jB,CAAC,CAAC,CAAC,IAAI4tC,GAAG3hB,EAAE,CAAC,MAAM0hB,EAAE,CAAC,EAAE,SAASE,GAAG/tC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,MAAM,SAAS,CAAC,EAAE,OAAOkrB,EAAE,UAAUxH,GAAGxjB,CAAC,CAAC,CAAC,IAAI8tC,GAAG7hB,EAAE,CAAC,KAAK4hB,EAAE,CAAC,EAAE,SAASE,GAAGjuC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,MAAM,CAAC,EAAE,OAAOkrB,EAAE,UAAUvH,GAAGzjB,CAAC,CAAC,CAAC,IAAIguC,GAAG/hB,EAAE,CAAC,MAAM8hB,EAAE,CAAC,EAAE,SAASE,GAAGnuC,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE0rB,EAAEhsB,EAAE,IAAI,SAAS,EAAE,OAAO8X,EAAExX,EAAE,OAAO,EAAE,IAAI,mDAAmDA,EAAE,aAAa,EAAEs8B,GAAGt8B,EAAE,CAAC,CAAC,EAAE,CAACJ,CAAC,CAAC,CAAC,CAAC,IAAIkuC,GAAGjiB,EAAE,CAAC,SAASgiB,EAAE,CAAC,EAAE,SAASE,GAAGruC,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE0rB,EAAEhsB,EAAE,IAAI,SAAS,EAAE,OAAO8X,EAAExX,EAAE,OAAO,EAAE,IAAI,mDAAmDA,EAAE,aAAa,EAAEs8B,GAAGt8B,EAAE,EAAEJ,CAAC,CAAC,CAAC,IAAIouC,GAAGniB,EAAE,CAAC,SAASkiB,EAAE,CAAC,EAAE,SAASE,GAAGvuC,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE0rB,EAAEhsB,EAAE,IAAI,SAAS,EAAE,OAAO8X,EAAExX,EAAE,OAAO,EAAE,IAAI,mDAAmDA,EAAE,aAAa,EAAEs8B,GAAGt8B,EAAE,EAAEJ,CAAC,CAAC,CAAC,IAAIsuC,GAAGriB,EAAE,CAAC,SAASoiB,EAAE,CAAC,EAAE,SAASE,GAAGzuC,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE0rB,EAAEhsB,EAAE,IAAI,SAAS,EAAE,OAAO8X,EAAExX,EAAE,OAAO,EAAE,IAAI,mDAAmDA,EAAE,aAAa,EAAEs8B,GAAGt8B,EAAE,EAAEJ,CAAC,CAAC,CAAC,IAAIwuC,GAAGviB,EAAE,CAAC,SAASsiB,EAAE,CAAC,EAAE,SAASE,GAAG3uC,EAAE,EAAE,GAAG,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,SAAS,UAAU,SAAS,EAAE,GAAG,IAAI,KAAK,EAAEE,EAAE,KAAK,GAAG,IAAIA,EAAE,KAAK,EAAE,MAAM,MAAM,4EAA4EA,EAAE,oBAAoB,GAAG,EAAE,IAAII,EAAE,CAAC,OAAOJ,CAAC,EAAEK,EAAE,CAAC,IAAI,CAAC,EAAE,OAAO2qB,EAAE,UAAU/G,GAAG7jB,EAAEC,CAAC,CAAC,CAAC,IAAIquC,GAAGziB,EAAE,CAAC,SAASwiB,EAAE,CAAC,EAAE,SAASE,GAAG7uC,EAAE,CAAC8X,EAAE9X,EAAE,QAAQ,YAAY,IAAI,6DAA6DA,EAAE,QAAQ,EAAE,IAAI,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAOkrB,EAAE,UAAUtM,GAAG,CAAC,CAAC,CAAC,IAAIkwB,GAAG3iB,EAAE,CAAC,KAAK0iB,EAAE,CAAC,EAAE,SAASE,GAAG/uC,EAAE,CAAC8X,EAAE9X,EAAE,QAAQ,YAAY,IAAI,8DAA8DA,EAAE,QAAQ,EAAE,IAAI,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAOkrB,EAAE,UAAU3L,GAAG,CAAC,CAAC,CAAC,IAAIyvB,GAAG7iB,EAAE,CAAC,MAAM4iB,EAAE,CAAC,EAAE,SAASE,GAAGjvC,EAAE,CAAC,IAAI,EAAEA,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAGE,EAAEF,EAAE,KAAK,EAAEM,EAAE,GAAG,GAAG,EAAE,CAAC,IAAIC,EAAE27B,EAAEl8B,EAAE,CAACE,EAAE,CAAC,CAAC,EAAEI,EAAE0uC,GAAGzuC,CAAC,CAAC,KAAK,CAAC,IAAIA,EAAE,CAACL,EAAE,GAAG,EAAE,EAAE,EAAE,EAAEg8B,EAAEvH,GAAG30B,CAAC,EAAE,CAACE,EAAE,CAAC,CAAC,EAAE,EAAEg8B,EAAE3H,GAAGv0B,CAAC,EAAE,CAACE,EAAE,CAAC,CAAC,EAAE+B,EAAEyqC,GAAG9P,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC18B,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,EAAEgC,EAAEk3B,EAAEsT,GAAG9P,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC18B,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE2iC,GAAG,EAAE,CAAC,EAAE1gC,EAAEq6B,GAAG,CAAC,EAAEv6B,CAAC,EAAE,CAAC,EAAEW,EAAE45B,GAAG,CAAC,EAAEt6B,CAAC,EAAE,CAAC,EAAEW,EAAEq5B,EAAE7P,GAAGlqB,EAAES,CAAC,EAAE,CAACrC,EAAE,GAAGA,EAAE,EAAE,CAAC,EAAED,EAAE0uC,GAAGnsC,CAAC,CAAC,CAAC,GAAGvC,EAAEq0B,GAAGr0B,CAAC,EAAEN,EAAE,OAAO,GAAGA,EAAE,MAAM,KAAK,EAAE,CAAC,IAAIO,EAAED,EAAE,EAAEN,EAAE,MAAM,GAAGM,EAAE47B,EAAE57B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAG,EAAEA,EAAE,MAAM,EAAE,CAAC,EAAEC,EAAE,QAAQ,CAAC,CAAC,OAAOD,CAAC,CAAC,IAAI4uC,GAAG/iB,EAAE,CAAC,OAAO8iB,EAAE,CAAC,EAAE,SAASE,GAAGnvC,EAAE,EAAEE,EAAE,EAAE,CAAC,IAAIK,EAAE,CAAC,EAAEyrB,EAAEhsB,EAAE,IAAI,OAAO,CAAC,EAAE+B,EAAE,CAAC,gBAAgB,EAAE,KAAK7B,CAAC,EAAE,OAAOgrB,EAAE,UAAUhH,GAAG3jB,EAAEwB,CAAC,CAAC,CAAC,IAAIqtC,GAAGjjB,EAAE,CAAC,OAAOgjB,EAAE,CAAC,EAAE,SAASE,GAAGrvC,EAAE,EAAE,CAAC8X,EAAE9X,EAAE,QAAQ,UAAU,IAAI,mDAAmDA,EAAE,OAAO,EAAE,IAAIE,EAAEF,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAGM,EAAEN,EAAE,KAAKE,EAAEK,EAAE,GAAG,GAAG,MAAM,EAAEL,EAAE,CAAC,IAAI8C,EAAEhD,EAAE,MAAM,IAAI,GAAG,CAAC,EAAEkE,EAAElE,EAAE,MAAM,IAAI,GAAG,CAAC,EAAEkE,EAAElE,EAAE,MAAM,OAAO,GAAG,EAAEO,EAAEq8B,GAAG58B,EAAEgD,EAAEkB,CAAC,EAAEhE,EAAE,CAAC,SAAS,GAAG,MAAM,EAAEA,EAAE,CAAC,IAAI8C,EAAEhD,EAAE,MAAM,IAAIkE,GAAGA,CAAC,EAAElB,EAAEhD,EAAE,MAAM,OAAO,GAAG,EAAEE,EAAEK,EAAEi8B,GAAG,CAACx8B,EAAEqoC,GAAGrlC,CAAC,CAAC,EAAEhD,EAAE,MAAM,OAAO,CAAC,EAAEE,EAAE,CAAC,MAAMK,EAAEP,EAAE,IAAI,EAAEohC,GAAG7gC,CAAC,EAAE,EAAE27B,EAAE7P,GAAG9rB,EAAE,CAAC,EAAE,CAACD,EAAEJ,CAAC,CAAC,EAAE+B,EAAE6sC,GAAG,CAAC,EAAE5sC,EAAE,KAAK,MAAMhC,EAAE,CAAC,EAAE,EAAEiC,EAAEwyB,GAAG1yB,CAAC,EAAEW,EAAE2xB,GAAGtyB,CAAC,EAAEY,EAAEusC,GAAGjtC,EAAE,CAACD,EAAEhC,EAAEgC,CAAC,EAAEC,EAAE,MAAM,OAAO,CAAC,EAAEW,EAAEssC,GAAGxsC,EAAE,CAACV,EAAEhC,EAAEgC,CAAC,EAAEU,EAAE,MAAM,OAAO,CAAC,EAAEG,EAAExC,EAAE,MAAM,MAAM,EAAE,OAAOwC,EAAExC,EAAE,MAAM,OAAO,GAAG2B,EAAEg6B,EAAE7P,GAAGxpB,EAAE,GAAGC,EAAE,EAAE,EAAEC,CAAC,CAAC,CAAC,IAAIusC,GAAGnjB,EAAE,CAAC,MAAMkjB,EAAE,CAAC,EAAE,SAASE,GAAGvvC,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,mBAAmB,EAAEM,EAAE0rB,EAAE,EAAE,IAAI,mBAAmB,EAAE,CAAC9rB,EAAEI,CAAC,EAAE8pB,GAAGlqB,EAAEI,CAAC,EAAE00B,GAAG90B,EAAE,MAAMI,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEL,EAAE,EAAEI,CAAC,EAAE,EAAE,CAAC,EAAE,OAAO4qB,EAAE,UAAUzG,GAAGlkB,EAAE,CAAC,CAAC,CAAC,IAAIivC,GAAGrjB,EAAE,CAAC,mBAAmBojB,EAAE,CAAC,EAAE,SAASE,GAAGzvC,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,UAAU,mBAAmB,EAAE,OAAOk8B,EAAEh8B,EAAE4Y,GAAG5Y,EAAE,MAAM,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAIwvC,GAAGvjB,EAAE,CAAC,SAASsjB,EAAE,CAAC,EAAE,SAASE,GAAG3vC,EAAE,EAAE,EAAE,CAAC,IAAIE,EAAE+rB,GAAGjsB,EAAE,UAAU,QAAQ,mBAAmB,EAAE8X,EAAE5X,EAAE,QAAQ,EAAE,IAAI,sCAAsC,EAAEA,EAAE,OAAO,GAAG4X,EAAE,GAAG5X,EAAE,GAAG,KAAK,IAAI,oCAAoC,EAAE,IAAII,EAAEJ,EAAEK,EAAE,CAAC,KAAK,CAAC,EAAE,OAAO2qB,EAAE,UAAUnJ,GAAGzhB,EAAEC,CAAC,CAAC,CAAC,IAAIqvC,GAAGzjB,EAAE,CAAC,OAAOwjB,EAAE,CAAC,EAAE,SAASE,GAAG7vC,EAAE,EAAE,EAAE,CAAC,IAAI,EAAE,CAAC,EAAEgsB,EAAEhsB,EAAE,IAAI,MAAM,CAAC,EAAEO,EAAE,CAAC,MAAM,CAAC,EAAE,OAAO2qB,EAAE,UAAUvF,GAAG,EAAEplB,CAAC,CAAC,CAAC,IAAIuvC,GAAG3jB,EAAE,CAAC,MAAM0jB,EAAE,CAAC,EAAE,SAASE,GAAG/vC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE0B,EAAE,EAAEC,EAAE,EAAE,CAAC,IAAIU,EAAE,CAAC,EAAEopB,EAAEhsB,EAAE,IAAI,eAAe,mBAAmB,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,IAAIE,EAAE,QAAQI,EAAE,UAAUC,EAAE,QAAQ,EAAE,aAAa,EAAE,YAAY0B,EAAE,eAAeC,CAAC,EAAE,OAAOgpB,EAAE,UAAUvG,GAAG/hB,EAAE,CAAC,CAAC,CAAC,IAAIotC,GAAG7jB,EAAE,CAAC,cAAc4jB,EAAE,CAAC,EAAE,SAASE,GAAGjwC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE8rB,EAAEhsB,EAAE,IAAI,MAAM,SAAS,CAAC,EAAE,OAAOkrB,EAAE,UAAUlG,GAAG9kB,CAAC,CAAC,CAAC,IAAIgwC,GAAG/jB,EAAE,CAAC,KAAK8jB,EAAE,CAAC,EAAE,SAASE,GAAGnwC,EAAE,EAAE,CAACiY,GAAGjY,CAAC,EAAE,IAAIE,EAAE2rB,GAAG7rB,EAAE,CAAC,EAAE,GAAGE,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,oDAAoD,EAAE,OAAOosB,GAAGtsB,EAAE,KAAKE,EAAE,CAAC,CAAC,CAAC,SAASkwC,GAAGpwC,EAAE,EAAEE,EAAE,CAAC,GAAG+X,GAAGjY,CAAC,EAAE,GAAG,MAAM,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,+CAA+C,EAAE,IAAIM,EAAEurB,GAAG7rB,EAAEE,CAAC,EAAE,GAAGI,EAAE,SAAS,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,gEAAgE,EAAE,GAAGA,EAAE,SAAS,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,8EAA8E,EAAE,OAAOgsB,GAAGtsB,EAAE,EAAEM,EAAEJ,CAAC,CAAC,CAAC,SAASmwC,GAAGrwC,EAAE,EAAEE,EAAE,CAAC,GAAG+X,GAAGjY,CAAC,EAAE,GAAG,MAAM,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,gDAAgD,EAAE,IAAIM,EAAEurB,GAAG7rB,EAAEE,CAAC,EAAE,GAAGI,EAAE,SAAS,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,oEAAoE,EAAE,GAAGA,EAAE,SAAS,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,yEAAyE,EAAE,OAAOgsB,GAAGtsB,EAAE,EAAEM,EAAEJ,CAAC,CAAC,CAAC,SAASowC,GAAGtwC,EAAE,EAAEE,EAAE,CAAC,GAAG+X,GAAGjY,CAAC,EAAE,GAAG,MAAM,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,gDAAgD,EAAE,IAAIM,EAAEurB,GAAG7rB,EAAEE,CAAC,EAAE,GAAGI,EAAE,SAAS,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,sEAAsE,EAAE,GAAGA,EAAE,SAAS,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,yEAAyE,EAAE,OAAOgsB,GAAGtsB,EAAE,EAAEM,EAAEJ,CAAC,CAAC,CAAC,SAASqwC,GAAGvwC,EAAE,EAAEE,EAAE,CAAC,GAAG+X,GAAGjY,CAAC,EAAE,GAAG,MAAM,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,+CAA+C,EAAE,IAAIM,EAAEurB,GAAG7rB,EAAEE,CAAC,EAAE,GAAGI,EAAE,SAAS,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,wEAAwE,EAAE,GAAGA,EAAE,SAAS,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,yEAAyE,EAAE,OAAO,EAAE,GAAGA,EAAEgsB,GAAGtsB,EAAE,EAAEM,EAAEJ,CAAC,CAAC,CAAC,SAASswC,GAAGxwC,EAAE,EAAE,EAAEE,EAAE,GAAG,CAAC,IAAII,EAAE0rB,EAAEhsB,EAAE,IAAI,MAAM,EAAE,GAAGM,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,oDAAoD,EAAE,IAAIC,EAAED,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAG,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,6CAA6C,GAAG,EAAE,GAAG,EAAEC,EAAE,MAAM,IAAI,MAAM,uDAAuDA,cAAc,GAAG,EAAE,IAAI,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,OAAOJ,CAAC,EAAE,CAAC+B,EAAEC,CAAC,EAAEgpB,EAAE,UAAU/F,GAAG,EAAE,CAAC,EAAE,MAAM,CAAC,OAAOljB,EAAE,QAAQC,CAAC,CAAC,CAAC,IAAIuuC,GAAGtkB,EAAE,CAAC,MAAMqkB,EAAE,CAAC,EAAE,SAASE,GAAG1wC,EAAE,EAAE,EAAEE,EAAE,EAAEI,EAAEC,EAAE,CAAC,GAAGD,GAAG,MAAMA,IAAI,OAAO,MAAM,IAAI,MAAM,mCAAmC,EAAE,IAAI,EAAE,IAAIirC,GAAG,EAAErrC,EAAEI,EAAE,GAAGC,CAAC,EAAE,EAAEgwB,GAAGvwB,EAAEM,CAAC,EAAE,QAAQ2B,EAAE,EAAEA,EAAE,EAAE,OAAO,OAAOA,IAAI,EAAE,OAAOA,GAAG,EAAE,UAAU,EAAE,OAAO,EAAE,SAAS,CAAC,CAAC,IAAI0uC,GAAGxkB,EAAE,CAAC,iBAAiBukB,EAAE,CAAC,EAAE,SAASE,GAAG5wC,EAAE,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,SAAS,mBAAmB,EAAE8X,EAAE5X,EAAE,KAAK,EAAE,IAAI,sCAAsC,EAAE,IAAII,EAAE,CAAC,EAAEJ,CAAC,EAAEK,EAAE,CAAC,KAAK,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE2qB,EAAE,UAAU5F,GAAGhlB,EAAEC,CAAC,EAAE,MAAM,CAAC,OAAO,EAAE,QAAQ,CAAC,CAAC,CAAC,IAAIswC,GAAG1kB,EAAE,CAAC,QAAQykB,EAAE,CAAC,EAAE,SAASE,GAAG9wC,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE0rB,EAAEhsB,EAAE,IAAI,oBAAoB,EAAEO,EAAEyrB,EAAE,EAAE,aAAa,qBAAqB,OAAO,EAAElU,EAAEQ,GAAGpY,CAAC,EAAE,IAAI,kCAAkC,EAAE,IAAI,EAAE,CAAC,EAAEI,EAAE,WAAWC,CAAC,EAAE,EAAE,CAAC,YAAYL,CAAC,EAAE,OAAOgrB,EAAE,UAAU1F,GAAG,EAAE,CAAC,CAAC,CAAC,IAAIurB,GAAG5kB,EAAE,CAAC,oBAAoB2kB,EAAE,CAAC,EAAE,SAASE,GAAGhxC,EAAE,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,IAAI,UAAU,mBAAmB,EAAE8X,EAAE,GAAG,CAAC5X,EAAE,MAAM,QAAQ,EAAEA,EAAE,MAAM,OAAO,IAAI,UAAU,iBAAiBA,EAAE,MAAM,WAAWA,EAAE,MAAM,SAAS,EAAE,IAAII,EAAE,CAAC,MAAMJ,CAAC,EAAEK,EAAE,CAAC,KAAK,CAAC,EAAE,OAAO2qB,EAAE,UAAU3F,GAAGjlB,EAAEC,CAAC,CAAC,CAAC,IAAI0wC,GAAG9kB,EAAE,CAAC,SAAS6kB,EAAE,CAAC,EAAE,SAASE,GAAGlxC,EAAE,EAAE,CAAC,OAAOynC,GAAGznC,EAAE,EAAE,OAAO,CAAC,CAAC,SAASmxC,GAAGnxC,EAAE,EAAE,GAAGE,EAAEI,EAAE,CAAC,OAAO4qB,EAAE,aAAalrB,EAAE,EAAEE,EAAEI,CAAC,CAAC,CAAC,SAAS8wC,GAAGpxC,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAE,EAAE,OAAO,IAAI,EAAE,IAAIA,EAAE,KAAK,CAAC,EAAE,IAAII,EAAEiwB,GAAGvwB,EAAE,OAAO,EAAEO,EAAEgwB,GAAG,CAACrwB,EAAE,OAAOF,EAAE,MAAM,EAAE,OAAO,EAAE,QAAQ,EAAE,EAAE,EAAEE,EAAE,OAAO,IAAI,CAAC,IAAI,EAAEI,EAAE,WAAWJ,EAAE,EAAE,EAAE+B,EAAE,EAAEjC,EAAE,OAAOO,EAAE,OAAO,IAAI,EAAE0B,CAAC,CAAC,CAAC,OAAO1B,EAAE,SAAS,CAAC,CAAC,eAAe8wC,GAAGrxC,EAAE,CAAC,IAAI,EAAEgsB,EAAEhsB,EAAE,YAAY,aAAa,MAAM,EAAEE,EAAE,MAAM,EAAE,KAAK,EAAEI,EAAE8wC,GAAG,EAAE,MAAMlxC,CAAC,EAAE,OAAOF,IAAI,GAAG,EAAE,QAAQ,EAAEM,CAAC,CAAC,IAAIgxC,GAAGD,GAAG,eAAeE,GAAGvxC,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE0rB,EAAEhsB,EAAE,SAAS,UAAU,EAAEO,EAAEyrB,EAAE,EAAE,OAAO,WAAW,MAAM,EAAE,EAAE9rB,GAAG,KAAK,EAAEA,EAAE,EAAEK,EAAE,KAAK0B,EAAE3B,EAAE,MAAMwX,EAAE,EAAE,EAAE,IAAI,uBAAuB,EAAEC,GAAG9V,EAAE,MAAM,EAAE,EAAE,CAAC,EAAE1B,EAAE,MAAM,mEAAmE,EAAE,IAAI2B,EAAE,EAAE,QAAQgC,EAAE,EAAEA,EAAE,EAAE,EAAEA,IAAIhC,GAAGD,EAAEiC,GAAG,IAAI/B,EAAEF,EAAE,MAAM,EAAE,CAAC,EAAE,OAAO,CAACC,CAAC,EAAED,EAAE,MAAM,EAAE,CAAC,CAAC,EAAEW,EAAEs5B,EAAE57B,EAAE6B,CAAC,EAAEU,EAAEq5B,EAAE37B,EAAE,CAAC,EAAE,CAAC,EAAEuC,EAAE,MAAMwuC,GAAGzuC,CAAC,EAAEE,EAAE2sC,GAAG5sC,EAAE,CAAC,CAAC,CAAC,EAAEE,EAAEshC,GAAG1hC,EAAEG,EAAE,CAAC,EAAE,OAAO/C,IAAIM,GAAGA,EAAE,QAAQ,EAAE,IAAIC,GAAGA,EAAE,QAAQ,EAAEwC,EAAE,QAAQ,EAAEH,EAAE,QAAQ,EAAEC,EAAE,QAAQ,EAAEC,EAAE,QAAQ,EAAEE,CAAC,CAAC,IAAIwuC,GAAGD,GAAG,SAASE,GAAGzxC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,GAAG,CAAC,IAAI,EAAEyrB,EAAEhsB,EAAE,IAAI,eAAe,EAAE,EAAEgsB,EAAE,EAAE,IAAI,eAAe,EAAE/pB,EAAE+pB,EAAE9rB,EAAE,QAAQ,eAAe,EAAE+pB,GAAG,EAAE,CAAC,EAAEnS,EAAEE,GAAG,EAAE,MAAM,EAAE,KAAK,EAAE,IAAI,2BAA2B,EAAE,IAAI9V,EAAE2gC,GAAG,CAAC,EAAE1gC,EAAEukC,GAAGxkC,EAAED,CAAC,EAAEW,EAAEw2B,EAAEsN,GAAG,EAAE,CAAC,EAAEvkC,CAAC,EAAE,GAAG5B,EAAE,CAACuX,EAAExX,GAAG,KAAK,IAAI,gDAAgD,EAAE,IAAIuC,EAAEmpB,EAAE1rB,EAAE,OAAO,eAAe,EAAEsC,EAAEs2B,GAAGt2B,EAAE8jC,GAAGxkC,EAAE0gC,GAAG3gC,EAAEY,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOi2B,EAAE,EAAEl2B,CAAC,CAAC,CAAC,IAAI8uC,GAAGvlB,EAAE,CAAC,eAAeslB,EAAE,CAAC,EAAE,SAASE,GAAG3xC,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE0rB,EAAEhsB,EAAE,UAAU,YAAY,OAAO,EAAEO,EAAEyrB,EAAE,EAAE,UAAU,WAAW,EAAEkK,GAAG31B,EAAED,EAAEJ,CAAC,EAAE,IAAI,EAAE,CAAC,QAAQI,EAAE,QAAQC,CAAC,EAAE,EAAE,CAAC,MAAML,CAAC,EAAE,OAAOgrB,EAAE,UAAU7H,GAAG,EAAE,CAAC,CAAC,CAAC,IAAIuuB,GAAGzlB,EAAE,CAAC,WAAWwlB,EAAE,CAAC,EAAE,SAASE,GAAG7xC,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAGN,EAAE,QAAQ,QAAQ,MAAM,IAAI,MAAM,8EAA8EA,EAAE,QAAQ,EAAE,GAAGA,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,sEAAsEA,EAAE,QAAQ,EAAE,IAAIO,EAAEP,EAAE,KAAK,EAAEA,EAAE,MAAM,GAAG,EAAE,EAAEA,EAAE,KAAK,EAAEA,EAAE,MAAM,GAAG,EAAE,GAAGE,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,kDAAkDA,EAAE,sBAAsB,IAAI,EAAE,IAAI,EAAE,EAAE,KAAK,GAAG,EAAE,EAAE,OAAO,GAAG,EAAE,OAAO,GAAG,IAAIK,GAAG,MAAM,IAAI,MAAM,oCAAoC,EAAE,2BAA2BA,IAAI,EAAE,GAAG,EAAE,QAAQD,EAAE,MAAM,MAAM,IAAI,MAAM,mDAAmD,CAAC,CAAC,SAASwxC,GAAG9xC,EAAE,EAAEE,EAAEI,EAAE,EAAE,CAAC,IAAIC,EAAEyrB,EAAEhsB,EAAE,gBAAgB,gBAAgB,OAAO,EAAE,EAAEgsB,EAAE,EAAE,eAAe,gBAAgB,mBAAmB,EAAE,EAAEA,EAAE1rB,EAAE,eAAe,gBAAgB,EAAE,KAAK,EAAEuxC,GAAGtxC,EAAE,EAAEL,EAAE,CAAC,EAAE,IAAI+B,EAAE,CAAC,cAAc1B,EAAE,aAAa,EAAE,aAAa,CAAC,EAAE2B,EAAE,CAAC,YAAYhC,CAAC,EAAE,OAAOgrB,EAAE,UAAU1G,GAAGviB,EAAEC,CAAC,CAAC,CAAC,IAAI6vC,GAAG5lB,EAAE,CAAC,eAAe2lB,EAAE,CAAC,EAAE,SAASE,GAAGhyC,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAE,EAAE,UAAU,WAAW,OAAO,EAAEzrB,EAAE,CAAC,OAAOyrB,EAAEhsB,EAAE,IAAI,WAAW,mBAAmB,EAAE,QAAQE,CAAC,EAAE,OAAOgrB,EAAE,UAAU/L,GAAG5e,CAAC,CAAC,CAAC,IAAI0xC,GAAG9lB,EAAE,CAAC,UAAU6lB,EAAE,CAAC,EAAE,SAASE,GAAGlyC,EAAE,EAAE,CAAC,GAAG,GAAG,KAAK,OAAOA,EAAE,MAAM,MAAM,EAAE,GAAGgY,GAAGhY,EAAE,MAAM,CAAC,EAAE,OAAO,EAAE,GAAGA,EAAE,MAAM,SAAS,EAAE,OAAO,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAEN,EAAE,MAAM,OAAOM,IAAI,EAAEA,IAAI,MAAMN,EAAE,MAAMM,IAAI,KAAKJ,EAAE,KAAKF,EAAE,MAAMM,EAAE,EAAEJ,EAAE,KAAK,EAAEI,EAAE,EAAE,OAAOJ,CAAC,CAAC,OAAO,CAAC,CAAC,SAASiyC,GAAGnyC,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEyrB,EAAEhsB,EAAE,IAAI,SAAS,EAAE,GAAG8X,EAAEvX,EAAE,QAAQ,UAAU,IAAI,gFAAgFA,EAAE,uBAAuB,EAAEuX,EAAE,GAAG,GAAG,EAAE,EAAE,IAAI,qDAAqD,IAAI,EAAE,IAAI,EAAE,OAAO9X,aAAa6pB,GAAGtpB,EAAE,MAAM,EAAEA,EAAE,IAAI,EAAE2xC,GAAG3xC,EAAEL,CAAC,EAAE,EAAE,EAAE,EAAE+B,EAAEi3B,GAAGkL,GAAGtL,EAAEmT,GAAG,EAAE,EAAE,EAAE,UAAU3rC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,OAAO84B,EAAE74B,EAAE0B,CAAC,CAAC,CAAC,IAAImwC,GAAGjmB,EAAE,CAAC,SAASgmB,EAAE,CAAC,EAAE,SAASE,GAAGryC,EAAE,CAAC,OAAO,KAAK,MAAM,KAAK,IAAI,EAAE,KAAK,KAAK,KAAK,IAAIA,CAAC,EAAE,KAAK,IAAI,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAASsyC,GAAGtyC,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,EAAEN,EAAE,EAAEO,EAAE,IAAI,aAAaP,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAE,CAAC,IAAI,EAAE,EAAE,KAAK,GAAG,GAAGA,EAAEM,EAAE,GAAGC,EAAE,GAAG,EAAEL,EAAE,KAAK,IAAI,CAAC,CAAC,CAAC,OAAOiwC,GAAG5vC,EAAE,SAAS,CAAC,CAAC,eAAegyC,GAAGvyC,EAAE,EAAEE,EAAE,EAAE,CAAC,IAAII,EAAE0rB,EAAEhsB,EAAE,cAAc,QAAQ,EAAEO,EAAEyrB,EAAE,EAAE,UAAU,QAAQ,EAAElU,EAAExX,EAAE,KAAK,EAAE,IAAI,uEAAuEA,EAAE,MAAM,EAAEwX,EAAExX,EAAE,KAAK,IAAIC,EAAE,KAAK,IAAI,mFAAmFD,EAAE,yBAAyBC,EAAE,MAAM,EAAEwX,GAAGzX,EAAE,MAAM,MAAM,EAAEA,EAAE,MAAM,OAAO,CAAC,EAAEC,EAAE,MAAM,yFAAyF,EAAE,IAAI,EAAED,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAGwX,EAAE5X,EAAE,GAAGA,GAAG,EAAE,IAAI,4EAA4E,eAAeA,GAAG,EAAE,IAAI,EAAE,MAAMI,EAAE,KAAK,EAAE2B,EAAE,MAAM1B,EAAE,KAAK,EAAE,CAAC2B,EAAEC,CAAC,EAAE,CAAC,EAAE,OAAO,EAAE,CAAC,EAAES,EAAEmW,GAAG,OAAO7W,CAAC,EAAE,QAAQW,EAAE,EAAEA,EAAEX,EAAEW,IAAI,CAAC,IAAIC,EAAED,EAAEV,EAAEY,EAAE,EAAE,SAASD,EAAEA,EAAEX,CAAC,EAAEa,EAAE,CAAC,EAAE,QAAQkB,EAAE,EAAEA,EAAEnB,EAAE,OAAOmB,IAAIlB,EAAE,KAAK,CAAC,MAAMD,EAAEmB,GAAG,MAAMA,CAAC,CAAC,EAAElB,EAAE,KAAK,CAACkB,EAAE,IAAI,EAAE,MAAMA,EAAE,KAAK,EAAEtB,EAAEC,GAAG,EAAE,QAAQqB,EAAE,EAAEA,EAAEhE,EAAEgE,IAAI,GAAGlB,EAAEkB,GAAG,QAAQjC,EAAEY,GAAG,CAACD,EAAEC,GAAG,EAAE,KAAK,CAAC,CAAC,OAAO7C,IAAIM,GAAGA,EAAE,QAAQ,EAAE,IAAIC,GAAGA,EAAE,QAAQ,EAAEgsB,GAAG3pB,EAAErC,EAAE,MAAM,MAAM,CAAC,CAAC,IAAIiyC,GAAGD,GAAOE,GAAG,CAAC,EAAEryC,GAAGqyC,GAAG,CAAC,OAAO,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,OAAO,IAAIC,EAAE,CAAC,EAAE,SAASC,GAAG7yC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,OAAO,EAAE,CAAC,IAAI0B,EAAEjC,EAAEA,EAAE,OAAO,IAAIiC,EAAEi6B,EAAEl8B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,IAAIkC,EAAE,EAAEA,EAAE,OAAO,IAAIA,EAAEg6B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAGpkB,EAAE7V,EAAE,OAAO,EAAE,IAAI,iEAAiEA,EAAE,QAAQ,EAAE6V,EAAE5V,EAAE,OAAO,EAAE,IAAI,8DAA8DA,EAAE,QAAQ,EAAE4V,EAAE5X,EAAE,SAAS,EAAE,IAAI,mEAAmEA,IAAI,EAAE,IAAIiC,EAAE,IAAI,OAAOF,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGW,EAAE,IAAI,OAAOV,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG4V,EAAE3V,IAAIjC,EAAE,GAAG,IAAI,4CAA4CiC,wCAAwCjC,EAAE,KAAK,EAAE4X,EAAElV,IAAI1C,EAAE,GAAG,IAAI,0CAA0C0C,0CAA0C1C,EAAE,MAAM,EAAE87B,GAAG,kBAAkBz7B,EAAE,CAAC,EAAE,IAAIsC,EAAE,CAAC,EAAEZ,EAAE,GAAGC,CAAC,EAAEY,EAAE,CAAC,QAAQxC,EAAE,IAAIC,EAAE,WAAW,EAAE,gBAAgB,EAAE,YAAYL,CAAC,EAAE,OAAOgrB,EAAE,UAAUlO,GAAGna,EAAEC,CAAC,CAAC,CAAC,IAAIgwC,GAAG3mB,EAAE,CAAC,sBAAsB0mB,EAAE,CAAC,EAAE,SAASE,GAAG/yC,EAAE,EAAEE,EAAE,CAAC,GAAGA,GAAG,MAAMA,IAAI,SAAS,OAAOF,EAAE,GAAGE,IAAI,OAAO,OAAOk5B,EAAEp5B,EAAE8vC,GAAG,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,gDAAgD5vC,IAAI,CAAC,CAAC,SAAS8yC,GAAGhzC,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAEI,EAAE40B,GAAGl1B,EAAE,MAAM,EAAE,KAAK,EAAE,OAAOM,EAAE,OAAO,IAAIJ,EAAEijC,GAAGjjC,EAAEI,CAAC,GAAG47B,EAAEh8B,EAAEF,EAAE,KAAK,CAAC,CAAC,SAASizC,GAAGjzC,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAG,IAAI,SAAS,OAAON,EAAE,GAAG,IAAI,OAAO,OAAOssC,GAAGtsC,CAAC,EAAE,GAAG,IAAI,MAAM,OAAO4hC,GAAG5hC,CAAC,EAAE,GAAG,IAAI,QAAQ,OAAOwsC,GAAGxsC,CAAC,EAAE,GAAG,IAAI,QAAQ,OAAO2qC,GAAG3qC,EAAEE,CAAC,EAAE,GAAG,IAAI,YAAY,OAAOglC,GAAGllC,EAAEM,CAAC,EAAE,GAAG,IAAI,UAAU,OAAOo8B,GAAG18B,CAAC,EAAE,MAAM,IAAI,MAAM,4BAA4B,IAAI,CAAC,CAAC,IAAIkzC,GAAG,CAAClzC,EAAE,IAAI,EAAEA,EAAE,IAAI,IAAI,SAAS,SAASmzC,GAAG,CAAC,EAAEnzC,EAAE,OAAO,EAAE,QAAQE,EAAE,IAAII,EAAE,WAAWC,EAAE,OAAO,UAAU,EAAE,CAAC,EAAE,CAAC,EAAE,gBAAgB,EAAE,KAAK0B,EAAE,WAAWC,EAAE,SAAS,uBAAuBC,EAAE,eAAeS,CAAC,EAAE,CAAC,GAAGV,EAAEA,GAAG,SAASgxC,GAAGhoB,EAAE,MAAM,cAAchpB,CAAC,IAAI,GAAG,CAAC4V,EAAEvX,IAAI,OAAO,IAAI,4CAA4CA,8GAA8G,EAAE,IAAIuE,EAAEk6B,GAAGh/B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,EAAE,OAAO0B,GAAG,OAAO6C,EAAEg0B,EAAEh0B,EAAE7C,CAAC,GAAGgxC,GAAGnuC,EAAE5C,EAAEC,EAAES,CAAC,CAAC,CAAC,IAAIC,EAAEmpB,EAAEhsB,EAAE,IAAI,SAAS,SAAS,EAAE8C,EAAEkpB,EAAE,EAAE,SAAS,SAAS,SAAS,EAAEjpB,EAAEF,EAAEG,EAAE,GAAGH,EAAE,OAAO,IAAIG,EAAE,GAAGD,EAAEm5B,EAAEr5B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAGiV,EAAE/U,EAAE,OAAO,EAAE,IAAI,6DAA6DA,EAAE,OAAO,EAAE+U,EAAEhV,EAAE,OAAO,EAAE,IAAI,8DAA8DA,EAAE,OAAO,EAAEk5B,GAAG,eAAe17B,EAAE,CAAC,EAAE,IAAI4D,EAAE3D,IAAI,OAAOwC,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG+U,EAAEhV,EAAE,MAAM,KAAKoB,EAAE,IAAI,oCAAoCA,wCAAwCpB,EAAE,MAAM,KAAK,EAAEgV,EAAEikB,GAAG77B,EAAE,CAAC,EAAE,IAAI,uEAAuEA,oBAAoB,IAAI,EAAE,IAAI,EAAE+6B,GAAGl4B,EAAE,MAAMD,EAAE,MAAM5C,EAAE,EAAEI,EAAE,CAAC,EAAEiH,EAAEtF,GAAG,OAAOsF,EAAEykB,EAAE/pB,EAAE,OAAO,cAAc,EAAE,CAACsF,CAAC,EAAE6iB,GAAG7iB,EAAE1E,CAAC,EAAEtC,IAAI,OAAOy0B,GAAG,EAAE,SAASztB,EAAE,KAAK,GAAGuQ,EAAEvQ,EAAE,MAAM,QAAQ,EAAE,IAAI,2GAA2GA,EAAE,MAAM,SAAS,EAAEuQ,EAAEvQ,EAAE,MAAM,SAAS,GAAGA,EAAE,MAAM,KAAK,EAAE,aAAaA,EAAE,MAAM,KAAK,EAAE,IAAI,sCAAsCA,EAAE,gEAAgE,EAAE,cAAc,IAAI,IAAIxC,EAAE,GAAG5C,GAAG,KAAK,CAAC,IAAI2C,EAAE3C,EAAE,MAAM,GAAG2V,EAAEhT,EAAE,QAAQ,GAAGA,EAAE,SAAS,EAAE,IAAI,2HAA2HA,EAAE,SAAS,EAAEA,EAAE,SAAS,EAAEgT,EAAEhT,EAAE,KAAK,GAAGA,EAAE,KAAK,EAAE,YAAY,IAAI,oDAAoDA,4DAA4D,EAAE,eAAe,UAAUA,EAAE,SAAS,EAAE,GAAG,CAACkwB,GAAGlwB,EAAE,EAAE,QAAQ,CAAC,OAAO0C,EAAN,CAAS,IAAIxC,EAAE,oDAAoDF,6DAA6D,EAAE,aAAa,MAAM,MAAME,CAAC,CAAC,CAACD,EAAEinB,EAAE7pB,EAAE,gBAAgB,cAAc,CAAC,CAAC,IAAIwC,EAAE,CAACG,EAAE0C,IAAI,CAACsQ,EAAEvX,IAAI,OAAO,IAAI,wDAAwDA,yCAAyC,EAAE,GAAG,CAACyE,EAAEyC,EAAExC,EAAEC,CAAC,EAAEsC,EAAErC,EAAE4tC,GAAGjuC,EAAEG,EAAE/C,CAAC,EAAE4V,EAAEgkB,GAAG,CAAC,EAAE,IAAI,uHAAuH,IAAI,EAAE,IAAI12B,EAAEg6B,GAAG33B,EAAE,MAAMtC,EAAEH,EAAE9E,EAAEI,CAAC,EAAE+E,EAAEytC,GAAGrrC,EAAEtC,EAAEH,EAAE,MAAM9E,EAAEI,CAAC,EAAEgF,EAAE,CAACF,EAAEC,CAAC,EAAE,GAAGH,GAAG,KAAK,CAAC,IAAI+C,EAAE+qC,GAAG9tC,EAAEC,CAAC,EAAEG,EAAE,KAAK2C,CAAC,CAAC,CAAC,OAAO3C,CAAC,EAAEV,EAAE,CAAC,EAAE7B,EAAE,OAAOD,EAAE,KAAKyE,EAAE,uBAAuBxC,CAAC,EAAEF,EAAE,CAAC,QAAQ3E,EAAE,IAAII,EAAE,WAAWC,EAAE,UAAU,EAAE,gBAAgB,EAAE,WAAW2B,EAAE,eAAeU,CAAC,EAAE,OAAOX,GAAG,KAAKmkC,GAAG,CAAC5+B,EAAExC,EAAEyC,IAAI,CAAC,IAAIxC,EAAEimB,EAAE,UAAUnF,GAAGnhB,EAAEC,CAAC,EAAE,OAAO4C,EAAE,CAACzC,EAAEwC,EAAEvC,CAAC,CAAC,EAAEjC,IAAIiC,EAAEi3B,EAAEj3B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,CAAC,MAAMA,EAAE,SAASN,CAAC,CAAC,CAAC,EAAE5B,EAAED,CAAC,EAAEsjC,GAAG,CAAC5+B,EAAExC,EAAEyC,EAAExC,IAAI,CAAC,IAAIC,EAAEgmB,EAAE,UAAUnF,GAAGnhB,EAAEC,CAAC,EAAE,OAAOI,EAAE,CAACD,EAAEwC,EAAEtC,EAAEuC,CAAC,CAAC,EAAEzE,IAAIkC,EAAEg3B,EAAEh3B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,CAAC,MAAMA,EAAE,SAASP,CAAC,CAAC,CAAC,EAAE5B,EAAED,EAAEyE,CAAC,CAAC,CAAC,IAAImrC,GAAGvmB,EAAE,CAAC,aAAagnB,EAAE,CAAC,EAAE,SAASC,GAAGpzC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,IAAI0B,EAAEjC,EAAEA,EAAE,OAAO,IAAIiC,EAAEi6B,EAAEl8B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,IAAIkC,EAAE,EAAEA,EAAE,OAAO,IAAIA,EAAEg6B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAG,IAAI/5B,EAAE,CAAC,EAAEF,EAAE,GAAGC,CAAC,EAAEU,EAAE,CAAC,QAAQtC,EAAE,IAAIC,EAAE,gBAAgB,EAAE,UAAU,EAAE,YAAYL,CAAC,EAAE,OAAOgrB,EAAE,UAAUrN,GAAG1b,EAAES,CAAC,CAAC,CAAC,IAAIywC,GAAGlnB,EAAE,CAAC,qCAAqCinB,EAAE,CAAC,EAAE,SAASE,GAAGtzC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,IAAI0B,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGD,EAAEi6B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAG,IAAI/5B,EAAE,CAAC,GAAGF,EAAE,OAAO/B,CAAC,EAAE0C,EAAE,CAAC,QAAQtC,EAAE,IAAIC,EAAE,gBAAgB,EAAE,UAAU,EAAE,WAAWP,CAAC,EAAE6C,EAAEqoB,EAAE,UAAUpN,GAAG3b,EAAES,CAAC,EAAE,OAAOV,EAAEg6B,EAAEr5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAI0wC,GAAGpnB,EAAE,CAAC,oCAAoCmnB,EAAE,CAAC,EAAE,SAASE,GAAG,CAAC,EAAExzC,EAAE,OAAO,EAAE,QAAQE,EAAE,IAAII,EAAE,WAAWC,EAAE,OAAO,UAAU,EAAE,CAAC,EAAE,CAAC,EAAE,gBAAgB,EAAE,KAAK0B,EAAE,WAAWC,EAAE,SAAS,uBAAuBC,EAAE,eAAeS,CAAC,EAAE,CAAC,GAAGswC,GAAGhoB,EAAE,MAAM,cAAchpB,CAAC,IAAI,GAAG,CAAC,IAAI2C,EAAE67B,GAAG1gC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,EAAE,OAAO0B,GAAG,OAAO4C,EAAEi0B,EAAEj0B,EAAE5C,CAAC,GAAGgxC,GAAGpuC,EAAE3C,EAAEC,EAAES,CAAC,CAAC,CAAC,IAAIC,EAAEmpB,EAAEhsB,EAAE,IAAI,kBAAkB,SAAS,EAAE8C,EAAEkpB,EAAE,EAAE,SAAS,kBAAkB,SAAS,EAAEjpB,EAAEF,EAAEG,EAAE,GAAGH,EAAE,OAAO,IAAIG,EAAE,GAAGD,EAAEm5B,EAAEr5B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAGiV,EAAE/U,EAAE,OAAO,EAAE,IAAI,sEAAsEA,EAAE,OAAO,EAAE+U,EAAEhV,EAAE,OAAO,EAAE,IAAI,uEAAuEA,EAAE,OAAO,EAAEgV,EAAE/U,EAAE,MAAM,KAAKD,EAAE,MAAM,GAAG,IAAI,6DAA6DC,EAAE,MAAM,qDAAqDD,EAAE,MAAM,KAAK,EAAE,GAAG,OAAO,EAAE,CAAC,EAAE,CAAC,GAAGgV,EAAEikB,GAAG77B,EAAE,CAAC,EAAE,IAAI,sFAAsFA,oBAAoB,IAAI,EAAE87B,GAAG,wBAAwB17B,EAAE,CAAC,EAAE,IAAI4D,EAAE+2B,GAAGl4B,EAAE,MAAMD,EAAE,MAAM5C,EAAE,EAAEI,EAAE,EAAE,EAAE,EAAE,EAAE2B,GAAG,OAAO,EAAE+pB,EAAE/pB,EAAE,OAAO,cAAc,EAAE,CAAC,CAAC,EAAEmoB,GAAG,EAAEvnB,CAAC,EAAEmyB,GAAG9wB,EAAE,SAAS,EAAE,KAAK,GAAG,IAAIqD,EAAEpF,GAAG,OAAOoF,EAAEykB,EAAE7pB,EAAE,gBAAgB,uBAAuB,GAAG,IAAI4C,EAAE,CAACF,EAAEC,IAAI,CAACgT,EAAEgkB,GAAG,CAAC,EAAE,IAAI,mHAAmH,IAAI,EAAE,GAAG,CAACt0B,EAAExC,EAAEyC,EAAExC,CAAC,EAAEH,EAAEI,EAAE6tC,GAAGluC,EAAE4C,EAAEvF,CAAC,EAAEiD,EAAEouC,GAAGvuC,EAAE,MAAME,EAAEsC,EAAEtH,EAAEI,EAAE,EAAE,CAAC,EAAE8E,EAAEiuC,GAAGruC,EAAEE,EAAEsC,EAAE,MAAMtH,EAAEI,EAAE,EAAE,CAAC,EAAE,GAAG2E,GAAG,KAAK,CAAC,IAAII,EAAE2tC,GAAG,EAAE9tC,CAAC,EAAE,MAAM,CAACC,EAAEC,EAAEC,CAAC,CAAC,CAAC,MAAM,CAACF,EAAEC,CAAC,CAAC,EAAET,EAAE,CAAC,EAAE5B,EAAE,OAAOD,EAAE,KAAK,EAAE,uBAAuByE,CAAC,EAAE3C,EAAE,CAAC,QAAQ1E,EAAE,IAAII,EAAE,WAAWC,EAAE,UAAU,EAAE,gBAAgB,EAAE,WAAW2B,EAAE,eAAeU,CAAC,EAAE,OAAOX,GAAG,KAAKmkC,GAAG,CAACthC,EAAE0C,EAAExC,IAAI,CAAC,IAAIyC,EAAEyjB,EAAE,UAAUlF,GAAGrhB,EAAEC,CAAC,EAAE,OAAOI,EAAE,CAACwC,EAAE1C,EAAE2C,CAAC,CAAC,EAAEzE,IAAIyE,EAAEy0B,EAAEz0B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,CAAC,MAAMA,EAAE,SAAS1C,CAAC,CAAC,CAAC,EAAEhC,EAAED,CAAC,EAAEsjC,GAAG,CAACthC,EAAE0C,EAAExC,EAAEyC,IAAI,CAAC,IAAIxC,EAAEimB,EAAE,UAAUlF,GAAGrhB,EAAEC,CAAC,EAAE,OAAO6C,EAAE,CAACD,EAAE1C,EAAEG,EAAED,CAAC,CAAC,EAAEhC,IAAIiC,EAAEi3B,EAAEj3B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,CAAC,MAAMA,EAAE,SAASF,CAAC,CAAC,CAAC,EAAEhC,EAAED,EAAE,CAAC,CAAC,CAAC,IAAI6vC,GAAGxmB,EAAE,CAAC,sBAAsBqnB,EAAE,CAAC,EAAE,SAASC,GAAG,CAAC,EAAEzzC,EAAE,EAAE,EAAE,WAAWE,EAAE,GAAG,WAAWI,EAAE,GAAG,KAAKC,EAAE,WAAW,EAAE,SAAS,uBAAuB,EAAE,eAAe0B,EAAE,EAAE,EAAE,CAAC,GAAGixC,GAAGhoB,EAAE,MAAM,cAAc,CAAC,IAAI,GAAG,CAAC,IAAIhmB,EAAE4tB,GAAG9yB,EAAE,EAAEE,EAAEI,CAAC,EAAE,OAAOC,GAAG,OAAO2E,EAAE4zB,EAAE5zB,EAAE3E,CAAC,GAAG0yC,GAAG/tC,EAAE,EAAE,EAAEjD,CAAC,CAAC,CAAC,IAAIC,EAAE8pB,EAAEhsB,EAAE,IAAI,cAAc,EAAEmC,EAAE6pB,EAAE,EAAE,IAAI,cAAc,EAAE,CAAC9pB,EAAEC,CAAC,EAAEioB,GAAGloB,EAAEC,CAAC,EAAE,IAAIS,EAAE1C,EAAEgC,EAAE,MAAMA,EAAE,KAAK,GAAGA,EAAE,MAAMA,EAAE,KAAK,GAAGW,EAAEvC,EAAE6B,EAAE,MAAMA,EAAE,KAAK,GAAGA,EAAE,MAAMA,EAAE,KAAK,GAAGW,EAAE5C,EAAEgC,EAAE,MAAMA,EAAE,KAAK,GAAGA,EAAE,MAAMA,EAAE,KAAK,GAAGa,EAAEzC,EAAE6B,EAAE,MAAMA,EAAE,KAAK,GAAGA,EAAE,MAAMA,EAAE,KAAK,GAAGa,EAAEd,EAAE,MAAM,MAAM,EAAE,EAAE,EAAEgC,EAAE/B,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAEiW,GAAGpV,CAAC,EAAEuE,EAAE6Q,GAAGlU,CAAC,EAAE4T,EAAElV,IAAIC,EAAE,IAAI,wCAAwCD,WAAWC,6BAA6BX,EAAE,aAAaC,EAAE,wBAAwBjC,oBAAoBI,eAAe,EAAE,IAAIqE,EAAEqwB,GAAG9yB,EAAE,MAAM,MAAM,EAAE,EAAE,EAAEC,EAAE,MAAM,MAAM,EAAE,EAAE,CAAC,EAAE,OAAO,CAACW,EAAEC,CAAC,CAAC,EAAE6B,EAAE1E,EAAEg8B,EAAEh6B,EAAE,CAAC,EAAEU,EAAEE,CAAC,CAAC,EAAEo5B,EAAEh6B,EAAE,CAAC,EAAEY,EAAEF,CAAC,CAAC,EAAEiC,EAAEvE,EAAE47B,EAAE/5B,EAAE,CAACoF,EAAExE,EAAEF,CAAC,CAAC,EAAEq5B,EAAE/5B,EAAE,CAACoF,EAAE1E,EAAEE,CAAC,CAAC,EAAE+B,EAAEvE,GAAG,OAAOuE,EAAEknB,EAAEzrB,EAAE,OAAO,cAAc,EAAE,CAACuE,CAAC,EAAEslB,GAAGtlB,EAAE5C,CAAC,EAAE8yB,GAAGrwB,EAAEG,EAAE,KAAK,GAAG,IAAI0C,EAAE,GAAG,OAAOA,EAAEwkB,EAAE,EAAE,gBAAgB,cAAc,GAAG,IAAIhnB,EAAE,CAACE,EAAEC,IAAI,CAAC,GAAG,CAACC,EAAEC,EAAEC,EAAE2C,CAAC,EAAE9C,EAAEwC,EAAEorC,GAAG7W,EAAEh3B,EAAEI,EAAE,KAAK,EAAEA,EAAE,CAAC,EAAE4C,EAAEC,EAAG,GAAG,CAACjI,GAAG,CAACI,GAAG4H,EAAE4qB,GAAGnrB,EAAEtC,EAAE,GAAG,EAAE,EAAE8C,EAAG2qB,GAAG1tB,EAAEuC,EAAE,GAAG,EAAE,GAAG,CAACzH,GAAGI,GAAG4H,EAAE4qB,GAAGnrB,EAAEtC,EAAE,GAAG,EAAE,EAAE8C,EAAG2qB,GAAGnrB,EAAEvC,EAAE,GAAG,EAAE,GAAGlF,GAAG,CAACI,GAAG4H,EAAE4qB,GAAGztB,EAAEsC,EAAE,GAAG,EAAE,EAAEQ,EAAG2qB,GAAG1tB,EAAEuC,EAAE,GAAG,EAAE,IAAIO,EAAE4qB,GAAGztB,EAAEsC,EAAE,GAAG,EAAE,EAAEQ,EAAG2qB,GAAGnrB,EAAEvC,EAAE,GAAG,EAAE,GAAG7E,GAAG,KAAK,CAAC,IAAI6H,EAAG4qC,GAAG/qC,EAAEN,CAAC,EAAE,MAAM,CAACO,EAAEC,EAAGC,CAAE,CAAC,KAAM,OAAM,CAACF,EAAEC,CAAE,CAAC,EAAEV,EAAE,CAAC,EAAE7C,EAAE,EAAEC,EAAE,KAAKC,EAAE,uBAAuB0C,CAAC,EAAEvC,EAAE,CAAC,WAAW/E,EAAE,WAAWI,EAAE,WAAW,EAAE,eAAe2B,CAAC,EAAE,OAAO1B,GAAG,KAAK6lC,GAAG,CAACjhC,EAAEC,EAAEC,IAAI,CAAC,IAAIC,EAAE4lB,EAAE,UAAUpF,GAAGre,EAAExC,CAAC,EAAE,OAAOI,EAAE,CAACF,EAAEC,EAAEE,CAAC,CAAC,EAAE,CAAC,MAAM42B,EAAE52B,EAAEX,CAAC,EAAE,SAASK,CAAC,CAAC,CAAC,EAAEJ,EAAEC,CAAC,EAAEuhC,GAAG,CAACjhC,EAAEC,EAAEC,EAAEC,IAAI,CAAC,IAAI2C,EAAEijB,EAAE,UAAUpF,GAAGre,EAAExC,CAAC,EAAE,OAAOK,EAAE,CAACH,EAAEC,EAAE6C,EAAE5C,CAAC,CAAC,EAAE,CAAC,MAAM62B,EAAEj0B,EAAEtD,CAAC,EAAE,SAASK,CAAC,CAAC,CAAC,EAAEJ,EAAEC,EAAEC,CAAC,CAAC,CAAC,IAAI8tC,GAAGzmB,EAAE,CAAC,aAAasnB,EAAE,CAAC,EAAE,SAASC,GAAG1zC,EAAE,CAAC,OAAOsyC,GAAGtyC,EAAE,IAAI,GAAG,CAAC,CAAC,IAAI2zC,GAAGxnB,EAAE,CAAC,eAAeunB,EAAE,CAAC,EAAE,SAASE,GAAG5zC,EAAE,CAAC,OAAOsyC,GAAGtyC,EAAE,GAAG,EAAE,CAAC,CAAC,IAAI6zC,GAAG1nB,EAAE,CAAC,YAAYynB,EAAE,CAAC,EAAE,SAASE,GAAG9zC,EAAE,EAAEE,EAAEI,EAAE,GAAGC,EAAE,EAAE,CAAC,IAAI,EAAE,EAAE,EAAE,CAAC,EAAE,KAAK,EAAE,GAAGP,EAAE,MAAM,EAAE,KAAK48B,GAAG58B,EAAE,EAAE,CAAC,CAAC,EAAE,GAAGE,EAAE,GAAGI,EAAE,KAAK,EAAEN,EAAE,MAAM,CAAC,IAAIiC,EAAE,EAAE,EAAEjC,EAAE,KAAKkC,EAAEs6B,GAAG,CAACI,GAAG58B,EAAE,EAAE,EAAEiC,CAAC,EAAEm8B,GAAG,CAACn8B,CAAC,EAAE1B,CAAC,CAAC,CAAC,EAAE,EAAE,KAAK2B,CAAC,EAAE,GAAGhC,CAAC,CAAC,OAAO,EAAE,SAAS,EAAEkwC,GAAG,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAElU,EAAEM,GAAG,CAAC,EAAE,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,IAAIuX,GAAG5nB,EAAE,CAAC,OAAO2nB,EAAE,CAAC,EAAE,SAASE,GAAGh0C,EAAE,EAAEE,EAAEI,EAAEC,EAAEszC,GAAG,CAACvzC,GAAG,OAAOA,EAAE+xC,GAAG,CAAC,GAAG,IAAI,EAAE0B,GAAG/zC,EAAE,EAAEE,CAAC,EAAE,EAAEk5B,EAAE,EAAE74B,EAAE,CAAC,CAAC,EAAE,OAAO+uC,GAAG,EAAEhvC,CAAC,CAAC,CAAC,IAAI2zC,GAAG9nB,EAAE,CAAC,MAAM6nB,EAAE,CAAC,EAAE,SAASE,GAAGl0C,EAAE,EAAEE,EAAEI,EAAEC,EAAE,WAAW,EAAE,EAAE,CAAC,IAAI,EAAEyrB,EAAEhsB,EAAE,QAAQ,eAAe,EAAEiC,EAAE+pB,EAAE,EAAE,QAAQ,gBAAgB,SAAS,EAAE9pB,EAAE8pB,EAAE9rB,EAAE,SAAS,gBAAgB,OAAO,EAAEiC,EAAEF,EAAE,MAAM,GAAG6V,EAAE,EAAE,OAAO,EAAE,IAAI,6DAA6D,EAAE,OAAO,EAAEA,EAAE7V,EAAE,OAAO,GAAGA,EAAE,MAAM,KAAK,EAAE,IAAI,oDAAoDE,sBAAsBF,EAAE,QAAQ,EAAE6V,EAAE5V,EAAE,OAAO,GAAGA,EAAE,MAAM,KAAKC,EAAE,IAAI,qDAAqDA,oBAAoBF,EAAE,QAAQ,EAAE6V,EAAExX,EAAE,SAAS,EAAE,IAAI,wEAAwEA,EAAE,SAAS,EAAEwX,EAAExX,EAAE,IAAI,GAAGA,EAAE,IAAI,EAAE,IAAI,2CAA2CA,GAAG,EAAEwX,EAAEvX,IAAI,YAAYA,IAAI,UAAU,IAAI,+CAA+CA,GAAG,EAAE,IAAIqC,EAAE,CAAC,MAAM,EAAE,MAAMX,EAAE,OAAOC,CAAC,EAAEW,EAAE,CAAC,OAAOtC,EAAE,mBAAmB,EAAE,SAASD,CAAC,EAAE,OAAO4qB,EAAE,UAAUzN,GAAG7a,EAAEC,CAAC,CAAC,CAAC,IAAIsxC,GAAGhoB,EAAE,CAAC,eAAe+nB,EAAE,CAAC,EAAE,SAASE,GAAGp0C,EAAE,CAAC,IAAI,EAAEgsB,EAAEhsB,EAAE,QAAQ,gBAAgB,SAAS,EAAE8X,EAAE,EAAE,OAAO,EAAE,IAAI,6DAA6D,EAAE,OAAO,EAAE,IAAI5X,EAAE,CAAC,MAAM,CAAC,EAAE,OAAOgrB,EAAE,UAAUpM,GAAG5e,EAAE,CAAC,CAAC,CAAC,CAAC,IAAIm0C,GAAGloB,EAAE,CAAC,eAAeioB,EAAE,CAAC,EAAE,SAASE,GAAGt0C,EAAE,CAAC,IAAI,EAAEgsB,EAAEhsB,EAAE,QAAQ,gBAAgB,EAAEE,EAAE,EAAE,KAAK,EAAEI,EAAE,EAAE,MAAMJ,GAAG4X,EAAE,EAAE,MAAM,EAAE,IAAI,yEAAyE,EAAE,OAAO,EAAEA,EAAExX,IAAI,EAAE,IAAI,+FAA+FA,IAAI,EAAE,IAAIC,EAAE,IAAI,MAAM,EAAE,IAAI,EAAE,OAAOA,EAAE,KAAK,EAAE,EAAEL,CAAC,EAAEK,EAAEL,GAAG,EAAE8jC,GAAG,EAAEzjC,CAAC,CAAC,CAAC,IAAIg0C,GAAGpoB,EAAE,CAAC,gBAAgBmoB,EAAE,CAAC,EAAE,SAASE,GAAGx0C,EAAE,EAAEE,EAAE,EAAEI,EAAE,GAAG,CAAC,IAAIC,EAAEyrB,EAAEhsB,EAAE,QAAQ,mBAAmB,SAAS,EAAE8X,EAAEvX,EAAE,OAAO,EAAE,IAAI,gEAAgEA,EAAE,OAAO,EAAE,IAAI,EAAE,CAAC,MAAMA,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,UAAUL,EAAE,OAAOI,CAAC,EAAE,OAAO4qB,EAAE,UAAUrF,GAAG,EAAE,CAAC,CAAC,CAAC,IAAI4uB,GAAGtoB,EAAE,CAAC,kBAAkBqoB,EAAE,CAAC,EAAE,SAASE,GAAG10C,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAACD,GAAG,OAAOA,EAAE,IAAIC,GAAG,OAAOA,EAAE,OAAO,mBAAmB,GAAG,OAAO,EAAE,GAAG,IAAI,EAAEP,EAAE,MAAM,GAAG,OAAOE,EAAE,KAAK,IAAIA,EAAE,CAAC,EAAE4X,EAAE,GAAGxX,GAAGA,GAAG,EAAE,IAAI,4CAA4CA,IAAI,EAAEwX,EAAE9X,EAAE,OAAO,EAAE,IAAI,+CAA+CA,EAAE,OAAO,EAAE8X,EAAE9X,EAAE,MAAM,KAAK,EAAE,IAAI,oDAAoDA,EAAE,MAAM,IAAI,EAAE8X,EAAE,EAAE,OAAO,EAAE,IAAI,4BAA4B,EAAEA,EAAE,EAAE,MAAM,KAAK,EAAE,IAAI,sDAAsD,cAAc,EAAE,MAAM,IAAI,EAAEA,EAAE,GAAG,GAAG,GAAG,EAAE,IAAI,4CAA4C,IAAI,EAAE,CAAC,cAAc5X,EAAE,aAAaI,EAAE,eAAeC,EAAE,aAAa,CAAC,CAAC,CAAC,SAASo0C,GAAG30C,EAAE,EAAEE,EAAEI,EAAE,GAAGC,EAAE,OAAO,kBAAkB,CAAC,IAAI,EAAEyrB,EAAEhsB,EAAE,QAAQ,oBAAoB,SAAS,EAAE,EAAEgsB,EAAE,EAAE,SAAS,oBAAoB,SAAS,EAAE/pB,EAAEyyC,GAAG,EAAE,EAAEx0C,EAAEI,EAAEC,CAAC,EAAEL,EAAE+B,EAAE,cAAc3B,EAAE2B,EAAE,aAAa1B,EAAE0B,EAAE,eAAe,IAAIC,EAAE,CAAC,cAAchC,EAAE,aAAaI,EAAE,eAAeC,CAAC,EAAE,OAAO2qB,EAAE,UAAUxJ,GAAG,CAAC,MAAM,EAAE,OAAO,CAAC,EAAExf,CAAC,CAAC,CAAC,IAAI0yC,GAAGzoB,EAAE,CAAC,mBAAmBwoB,EAAE,CAAC,EAAE,SAASE,GAAG70C,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEw0C,GAAG90C,EAAE,EAAEE,CAAC,EAAEK,EAAED,EAAE,EAAE,EAAEA,EAAE,GAAGA,EAAEN,EAAE,OAAOO,EAAE,EAAE,CAAC,CAAC,CAAC,SAASu0C,GAAG90C,EAAE,EAAEE,EAAE,CAAC,OAAO60C,GAAG/0C,EAAE,EAAEE,GAAG80C,EAAE,CAAC,CAAC,SAASA,GAAGh1C,EAAE,EAAE,CAAC,OAAOA,EAAE,EAAE,EAAEA,EAAE,EAAE,GAAG,CAAC,CAAC,SAAS+0C,GAAG/0C,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,EAAEC,EAAEP,EAAE,OAAO,EAAE,EAAE,EAAE,GAAG,KAAKM,EAAEC,GAAG,CAAC,EAAED,GAAGC,EAAED,IAAI,GAAG,IAAI2B,EAAE/B,EAAE,EAAEF,EAAE,EAAE,EAAEiC,EAAE,EAAE3B,EAAE,EAAE,GAAGC,EAAE,EAAE,EAAE,CAAC0B,EAAE,CAAC,OAAO,EAAE3B,EAAE,CAACA,EAAE,CAAC,CAAC,SAAS20C,GAAGj1C,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,OAAO20C,GAAGl1C,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,CAAC,CAAC,SAAS40C,GAAGn1C,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,OAAO20C,GAAGl1C,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,GAAG,EAAE,EAAE,CAAC,CAAC,SAAS60C,GAAGp1C,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,OAAO20C,GAAGl1C,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE,CAAC,CAAC,SAAS20C,GAAGl1C,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE,GAAG0B,EAAE,GAAGC,EAAE,GAAG,CAAC,IAAIC,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAE,EAAE,OAAO,IAAI,EAAE,GAAG5B,GAAG4B,EAAE,KAAK,CAAC,MAAM,EAAE,GAAG,SAAS,EAAE,mBAAmB,CAAC,CAAC,EAAEA,EAAE,KAAKkzC,EAAE,EAAE,IAAIzyC,EAAE,EAAE,EAAE,IAAI,EAAE,EAAEC,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,KAAKD,EAAE,OAAO3C,GAAGiC,EAAE,OAAO,GAAG,CAAC,IAAI,EAAEA,EAAE,IAAI,EAAE,CAAC,MAAMoF,EAAE,SAASxC,EAAE,mBAAmBJ,CAAC,EAAE,EAAE,GAAG4C,EAAEhH,EAAE,MAAM,IAAIqE,EAAE,GAAG,QAAQC,EAAEhC,EAAE,OAAO,EAAEgC,GAAGF,EAAE,EAAEE,EAAE,CAAC,IAAIC,EAAEwwC,GAAGt1C,EAAE+E,EAAElC,EAAEgC,EAAE,EAAE,GAAGC,GAAGxE,EAAE,CAACsE,EAAE,GAAG,KAAK,CAAC,GAAG,EAAE,MAAM,EAAE,MAAM2wC,GAAGj1C,EAAEsC,EAAEkC,CAAC,EAAE,EAAE,OAAOvE,EAAE,KAAK,CAAC,EAAE,mBAAmBsC,EAAE,OAAO+B,IAAI,EAAE,QAAQ2C,GAAG1E,EAAE,KAAKkC,CAAC,EAAEjC,EAAE,KAAK,EAAE,KAAK,GAAG,EAAE,MAAMvC,GAAGs0C,GAAG1yC,EAAE,EAAEkzC,EAAE,EAAE,CAAC,IAAItyC,EAAEF,EAAE,OAAOG,EAAE9C,EAAE6C,EAAEd,GAAGe,EAAE,IAAIH,EAAE,KAAK,GAAG,IAAI,MAAMG,CAAC,EAAE,KAAK,CAAC,CAAC,EAAEF,EAAE,KAAK,GAAG,IAAI,MAAME,CAAC,EAAE,KAAK,CAAC,CAAC,GAAG,IAAIkB,EAAE,CAAC,gBAAgBrB,CAAC,EAAE,OAAO,IAAIqB,EAAE,eAAepB,GAAGZ,IAAIgC,EAAE,aAAanB,GAAGmB,CAAC,CAAC,SAASoxC,GAAGt1C,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,SAAS,EAAE,EAAE,EAAE,EAAE,CAAC,EAAEO,EAAEP,EAAE,SAASE,EAAE,EAAEA,EAAE,EAAE,CAAC,EAAE,EAAE,KAAK,IAAII,EAAE,GAAGA,EAAE,EAAE,EAAE,EAAE,KAAK,IAAIA,EAAE,GAAGA,EAAE,EAAE,EAAE2B,EAAE,KAAK,IAAI3B,EAAE,GAAGA,EAAE,EAAE,EAAE4B,EAAE,KAAK,IAAI5B,EAAE,GAAGA,EAAE,EAAE,EAAE6B,EAAE,KAAK,IAAI5B,EAAE,GAAGA,EAAE,EAAE,EAAEqC,EAAE,KAAK,IAAIrC,EAAE,GAAGA,EAAE,EAAE,EAAEsC,EAAE,KAAK,IAAItC,EAAE,GAAGA,EAAE,EAAE,EAAEuC,EAAE,KAAK,IAAIvC,EAAE,GAAGA,EAAE,EAAE,EAAEwC,GAAGd,EAAE,IAAIC,EAAE,GAAGc,GAAGH,EAAEV,IAAIW,EAAEF,GAAG,GAAGG,GAAG,GAAGC,GAAG,EAAE,MAAO,GAAE,IAAIkB,EAAE,KAAK,IAAI,EAAE/B,CAAC,EAAE,EAAE,KAAK,IAAI,EAAES,CAAC,EAAE2E,EAAE,KAAK,IAAItF,EAAEY,CAAC,EAAEkC,EAAE,KAAK,IAAI7C,EAAEY,CAAC,EAAE6B,EAAE,KAAK,IAAI4C,EAAErD,EAAE,CAAC,EAAE,KAAK,IAAIa,EAAE,EAAE,CAAC,EAAE,OAAOJ,GAAG5B,EAAEC,EAAE2B,EAAE,CAAC,SAAS4wC,GAAGv1C,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,KAAK,IAAI,EAAEJ,EAAEA,CAAC,EAAE,OAAOA,GAAGF,EAAEM,EAAE,CAAC,CAAC,SAAS+0C,GAAGr1C,EAAE,EAAE,CAAC,OAAOA,EAAE,MAAM,EAAE,OAAOA,EAAE,QAAQ,EAAE,OAAO,EAAE,SAASA,EAAE,QAAQ,CAAC,eAAew1C,GAAGx1C,EAAE,EAAEE,EAAEI,EAAE,GAAGC,EAAE,OAAO,kBAAkB,CAAC,IAAI,EAAEyrB,EAAEhsB,EAAE,QAAQ,wBAAwB,EAAE,EAAEgsB,EAAE,EAAE,SAAS,wBAAwB,EAAE/pB,EAAEyyC,GAAG,EAAE,EAAEx0C,EAAEI,EAAEC,CAAC,EAAEL,EAAE+B,EAAE,cAAc3B,EAAE2B,EAAE,aAAa1B,EAAE0B,EAAE,eAAe,IAAIC,EAAE,MAAM,QAAQ,IAAI,CAAC,EAAE,KAAK,EAAE,EAAE,KAAK,CAAC,CAAC,EAAEC,EAAED,EAAE,GAAGU,EAAEV,EAAE,GAAG,CAAC,gBAAgBW,CAAC,EAAEoyC,GAAG9yC,EAAES,EAAE1C,EAAEI,EAAEC,CAAC,EAAE,OAAO,IAAIP,GAAG,EAAE,QAAQ,EAAE,IAAI,GAAG,EAAE,QAAQ,EAAEmwC,GAAGttC,EAAE,OAAO,CAAC,CAAC,IAAI4yC,GAAGD,GAAG,SAASE,GAAG11C,EAAE,EAAEE,EAAEI,EAAE,GAAGC,EAAE,OAAO,kBAAkB,EAAE,EAAE,CAAC,IAAI,EAAEyrB,EAAEhsB,EAAE,QAAQ,mBAAmB,EAAEiC,EAAE+pB,EAAE,EAAE,SAAS,mBAAmB,EAAE9pB,EAAEwyC,GAAG,EAAEzyC,EAAE/B,EAAEI,EAAEC,EAAE,CAAC,EAAEL,EAAEgC,EAAE,cAAc5B,EAAE4B,EAAE,aAAa3B,EAAE2B,EAAE,eAAe,EAAEA,EAAE,aAAa,IAAIC,EAAE,CAAC,MAAM,EAAE,OAAOF,CAAC,EAAEW,EAAE,CAAC,cAAc1C,EAAE,aAAaI,EAAE,eAAeC,EAAE,aAAa,CAAC,EAAEsC,EAAEqoB,EAAE,UAAUtJ,GAAGzf,EAAES,CAAC,EAAE,MAAM,CAAC,gBAAgBC,EAAE,GAAG,eAAeA,EAAE,EAAE,CAAC,CAAC,IAAI8yC,GAAGxpB,EAAE,CAAC,4BAA4BupB,EAAE,CAAC,EAAE,eAAeE,GAAG51C,EAAE,EAAEE,EAAEI,EAAE,GAAGC,EAAE,OAAO,kBAAkB,EAAE,EAAE,CAAC,IAAI,EAAEyrB,EAAEhsB,EAAE,QAAQ,wBAAwB,EAAEiC,EAAE+pB,EAAE,EAAE,SAAS,wBAAwB,EAAE9pB,EAAEwyC,GAAG,EAAEzyC,EAAE/B,EAAEI,EAAEC,EAAE,CAAC,EAAEL,EAAEgC,EAAE,cAAc5B,EAAE4B,EAAE,aAAa3B,EAAE2B,EAAE,eAAe,EAAEA,EAAE,aAAa,IAAIC,EAAE,MAAM,QAAQ,IAAI,CAAC,EAAE,KAAK,EAAEF,EAAE,KAAK,CAAC,CAAC,EAAEW,EAAET,EAAE,GAAGU,EAAEV,EAAE,GAAG,CAAC,gBAAgBW,EAAE,eAAeC,CAAC,EAAEqyC,GAAGxyC,EAAEC,EAAE3C,EAAEI,EAAEC,EAAE,CAAC,EAAE,OAAO,IAAIP,GAAG,EAAE,QAAQ,EAAEiC,IAAI,GAAGA,EAAE,QAAQ,EAAE,CAAC,gBAAgBkuC,GAAGrtC,EAAE,OAAO,EAAE,eAAeqtC,GAAGptC,CAAC,CAAC,CAAC,CAAC,IAAI8yC,GAAGD,GAAG,SAASE,GAAG91C,EAAE,EAAEE,EAAEI,EAAE,GAAGC,EAAE,OAAO,kBAAkB,EAAE,GAAG,CAAC,IAAI,EAAEyrB,EAAEhsB,EAAE,QAAQ,mBAAmB,EAAEiC,EAAE+pB,EAAE,EAAE,SAAS,mBAAmB,EAAE9pB,EAAEwyC,GAAG,EAAEzyC,EAAE/B,EAAEI,EAAEC,EAAE,IAAI,EAAE4B,EAAED,EAAE,cAAcU,EAAEV,EAAE,aAAaW,EAAEX,EAAE,eAAeY,EAAE,CAAC,MAAM,EAAE,OAAOb,CAAC,EAAEc,EAAE,CAAC,cAAcZ,EAAE,aAAaS,EAAE,eAAeC,EAAE,mBAAmB,CAAC,EAAEG,EAAEkoB,EAAE,UAAUvJ,GAAG7e,EAAEC,CAAC,EAAE,MAAM,CAAC,gBAAgBC,EAAE,GAAG,aAAaA,EAAE,EAAE,CAAC,CAAC,IAAI+yC,GAAG5pB,EAAE,CAAC,yBAAyB2pB,EAAE,CAAC,EAAE,eAAeE,GAAGh2C,EAAE,EAAEE,EAAEI,EAAE,GAAGC,EAAE,OAAO,kBAAkB,EAAE,GAAG,CAAC,IAAI,EAAEyrB,EAAEhsB,EAAE,QAAQ,wBAAwB,EAAEiC,EAAE+pB,EAAE,EAAE,SAAS,wBAAwB,EAAE9pB,EAAEwyC,GAAG,EAAEzyC,EAAE/B,EAAEI,EAAEC,EAAE,IAAI,EAAE4B,EAAED,EAAE,cAAcU,EAAEV,EAAE,aAAaW,EAAEX,EAAE,eAAe,CAACY,EAAEC,CAAC,EAAE,MAAM,QAAQ,IAAI,CAAC,EAAE,KAAK,EAAEd,EAAE,KAAK,CAAC,CAAC,EAAE,CAAC,gBAAgBe,EAAE,aAAakB,CAAC,EAAEixC,GAAGryC,EAAEC,EAAEZ,EAAES,EAAEC,EAAE,CAAC,EAAE,OAAO,IAAI7C,GAAG,EAAE,QAAQ,EAAEiC,IAAI,GAAGA,EAAE,QAAQ,EAAE,CAAC,gBAAgBkuC,GAAGntC,EAAE,OAAO,EAAE,aAAa6/B,GAAG3+B,EAAE,OAAO,CAAC,CAAC,CAAC,IAAI+xC,GAAGD,GAAG,SAASE,GAAGl2C,EAAE,EAAEE,EAAE,GAAGI,EAAE,GAAG,CAAC,IAAIC,EAAEyrB,EAAEhsB,EAAE,SAAS,gBAAgB,EAAE8X,EAAEvX,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,gEAAgEA,EAAE,OAAO,EAAEuX,EAAE,EAAE,SAAS,EAAE,IAAI,6DAA6D,IAAI,EAAEA,EAAExX,IAAI,IAAIJ,IAAI,GAAG,IAAI,mFAAmF,EAAE,IAAI,EAAEK,EAAE,EAAE,GAAGA,EAAE,OAAO,IAAI,EAAE,GAAG,EAAE27B,EAAE37B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,GAAG,CAAC,EAAE,EAAE0B,EAAE,CAAC,OAAO,CAAC,EAAEC,EAAE,CAAC,aAAahC,EAAE,iBAAiBI,EAAE,KAAK,CAAC,EAAE6B,EAAE+oB,EAAE,UAAUnI,GAAG9gB,EAAEC,CAAC,EAAE,OAAO,EAAEg6B,EAAE/5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIg0C,GAAGhqB,EAAE,CAAC,gBAAgB+pB,EAAE,CAAC,EAAE,SAASE,GAAGp2C,EAAE,EAAEE,EAAE,GAAGI,EAAE,GAAG,CAAC,IAAIC,EAAEyrB,EAAEhsB,EAAE,SAAS,uBAAuB,EAAE8X,EAAEvX,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,uEAAuEA,EAAE,OAAO,EAAEuX,EAAE,EAAE,SAAS,EAAE,IAAI,oEAAoE,IAAI,EAAEA,EAAEvX,EAAE,QAAQ,WAAWA,EAAE,QAAQ,QAAQ,IAAI,kDAAkD,EAAEuX,EAAExX,IAAI,IAAIJ,IAAI,GAAG,IAAI,0FAA0F,EAAE,IAAI,EAAEK,EAAE,EAAE,GAAGA,EAAE,OAAO,IAAI,EAAE,GAAG,EAAE27B,EAAE37B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,GAAG,CAAC,EAAE,EAAE0B,EAAE,CAAC,OAAO,CAAC,EAAEC,EAAE,CAAC,aAAahC,EAAE,iBAAiBI,EAAE,KAAK,CAAC,EAAE6B,EAAE+oB,EAAE,UAAUrI,GAAG5gB,EAAEC,CAAC,EAAE,OAAO,EAAEg6B,EAAE/5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIk0C,GAAGlqB,EAAE,CAAC,uBAAuBiqB,EAAE,CAAC,EAAE,SAASE,GAAGt2C,EAAE,EAAE,SAASE,EAAE,GAAGI,EAAE,GAAG,CAAC,IAAIC,EAAEyrB,EAAEhsB,EAAE,QAAQ,WAAW,EAAE,EAAE,MAAM,EAAE,KAAKiC,EAAE,KAAKC,EAAE3B,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG4B,EAAEi3B,EAAE+W,GAAG,CAAC7vC,CAAC,CAAC,EAAE,GAAG,EAAEsC,EAAEC,EAAEC,EAAEC,EAAE,GAAG+U,EAAEvX,EAAE,OAAO,EAAE,IAAI,yDAAyDA,EAAE,OAAO,EAAEuX,EAAEvX,EAAE,MAAM,KAAK,GAAGA,EAAE,MAAM,KAAK,EAAE,IAAI,0EAA0EA,EAAE,MAAM,KAAK,EAAEuX,EAAEvX,EAAE,QAAQ,SAASA,EAAE,QAAQ,UAAU,IAAI,sEAAsEA,EAAE,QAAQ,EAAEuX,EAAE,IAAI,QAAQ,IAAI,SAAS,IAAI,0CAA0C,GAAG,EAAEvX,EAAE,MAAM,KAAK,EAAE,CAAC,CAACqC,EAAEC,EAAEC,CAAC,EAAEssC,GAAG7uC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE,IAAI4D,EAAEi1B,EAAEx2B,EAAE,CAAC,EAAE2E,EAAE6xB,EAAEv2B,EAAE,CAAC,EAAE,EAAEu2B,EAAEt2B,EAAEb,CAAC,EAAEc,EAAE+1B,EAAEA,EAAE30B,EAAEoD,CAAC,EAAE,CAAC,CAAC,MAAMxE,EAAE/C,EAAE,GAAG,IAAI,OAAO,CAAC,IAAImE,EAAE05B,GAAGpN,GAAE2c,GAAGrqC,CAAC,EAAE,OAAO,EAAEwpB,GAAG,CAAC,CAAC,EAAE,GAAG,EAAEpqB,EAAEo0C,GAAGpyC,EAAEjC,CAAC,CAAC,CAAC,IAAIc,EAAE9C,EAAEolC,GAAGviC,EAAEZ,CAAC,EAAEqiC,GAAGzhC,EAAEZ,CAAC,EAAE,OAAOsuB,GAAE2I,EAAEp2B,EAAE,GAAG,EAAE,OAAO,CAAC,CAAC,SAASuzC,GAAGv2C,EAAE,EAAE,CAAC,IAAIE,EAAEiwC,GAAG,CAAC,EAAE,CAAC,EAAE7vC,EAAE6vC,GAAG,CAAC,CAAC,CAAC,EAAE5vC,EAAE4vC,GAAG,CAAC,CAAC,CAAC,EAAE,EAAE,EAAEluC,EAAEC,EAAEC,EAAES,EAAE,QAAQC,EAAE,EAAEA,EAAE7C,EAAE,KAAK,EAAE6C,IAAI,CAAC,EAAE+5B,GAAG58B,EAAE,EAAE6C,EAAE,CAAC,EAAE,EAAE+5B,GAAG58B,EAAE6C,EAAE,CAAC,EAAEV,EAAE+2B,GAAGiK,GAAG,CAAC,EAAE,CAAC,EAAEvgC,EAAEs2B,GAAGiK,GAAG,CAAC,EAAE,CAAC,EAAE,IAAIrgC,EAAEqgC,GAAG/J,EAAE,EAAE8S,GAAG,EAAE,EAAE,IAAI,CAAC,CAAC,EAAEjqC,EAAEi3B,GAAGp2B,EAAEqgC,GAAG,CAAC,CAAC,EAAE,IAAIpgC,EAAEq7B,GAAG,EAAE,MAAM,EAAE,IAAI,EAAEp7B,EAAE81B,EAAEoT,GAAG,EAAE,EAAE,IAAI,EAAEnpC,CAAC,EAAEmB,EAAEk1B,EAAE,EAAEp2B,CAAC,EAAEd,EAAEg3B,GAAGiK,GAAGj/B,CAAC,EAAEi/B,GAAG,CAAC,CAAC,EAAE,IAAI,EAAEuD,GAAGzkC,EAAEC,CAAC,EAAEqF,EAAEm/B,GAAGzkC,EAAEC,CAAC,EAAE6C,EAAEq0B,EAAEj3B,EAAES,CAAC,EAAErC,EAAE64B,EAAEA,EAAEr0B,EAAE,CAAC,EAAEwC,CAAC,EAAE,IAAI5C,EAAE6/B,GAAGjkC,EAAED,CAAC,EAAEA,EAAE4gC,GAAGv8B,EAAEpE,EAAED,CAAC,EAAEJ,EAAEghC,GAAGv8B,EAAEwrC,GAAG,CAACttC,CAAC,CAAC,EAAE3C,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,IAAIs2C,GAAGrqB,EAAE,CAAC,WAAWmqB,EAAE,CAAC,EAAE,SAASG,GAAGz2C,EAAE,EAAEE,EAAE,UAAUI,EAAE,WAAWC,EAAE,EAAE,EAAE,CAAC,IAAI,EAAEyrB,EAAEhsB,EAAE,QAAQ,YAAY,SAAS,EAAEiC,EAAE+pB,EAAE,EAAE,aAAa,YAAY,SAAS,EAAElU,EAAE,EAAE,OAAO,EAAE,IAAI,yDAAyD,EAAE,OAAO,EAAEA,EAAE7V,EAAE,OAAO,IAAIA,EAAE,MAAM,KAAK,EAAE,MAAM,IAAIA,EAAE,MAAM,KAAK,IAAIA,EAAE,MAAM,KAAK,EAAE,IAAI,kEAAkE,EAAE6V,EAAE,GAAG,MAAM,EAAE,SAAS,EAAE,IAAI,4EAA4E,IAAI,EAAE,IAAI5V,EAAE,CAAC,MAAM,EAAE,WAAWD,CAAC,EAAEE,EAAE,CAAC,cAAcjC,EAAE,SAASI,EAAE,UAAUC,EAAE,YAAY,CAAC,EAAE,OAAO2qB,EAAE,UAAU9F,GAAGljB,EAAEC,CAAC,CAAC,CAAC,IAAIu0C,GAAGvqB,EAAE,CAAC,WAAWsqB,EAAE,CAAC,EAAE,SAASE,GAAG32C,EAAE,EAAEE,EAAE,CAAC4X,EAAE,EAAE,IAAI,EAAE,IAAI,gDAAgD,IAAI,EAAEA,EAAE5X,EAAE,IAAI,EAAE,IAAI,gDAAgDA,IAAI,EAAE,IAAII,EAAE0rB,EAAEhsB,EAAE,IAAI,UAAU,EAAE8X,EAAExX,EAAE,MAAM,EAAE,IAAI,4CAA4CA,EAAE,OAAO,EAAE,IAAIC,EAAED,EAAE,MAAM,CAAC,EAAE,CAAC,EAAEA,EAAE,MAAM,MAAM,EAAE,EAAE,GAAG,EAAE,GAAG,GAAG,MAAM,IAAI,MAAM,yBAAyB,mDAAmD,KAAK,EAAE,GAAG,EAAEJ,GAAG,GAAG,MAAM,IAAI,MAAM,yBAAyBA,sDAAsD,KAAK,EAAE,EAAE,IAAI,EAAE,GAAGA,EAAE,IAAIA,EAAE,GAAG,IAAI+B,EAAEi6B,EAAEgQ,GAAG,EAAE,EAAE,EAAE,OAAO,EAAE,CAAC,GAAG,CAAC,CAAC,EAAEhqC,EAAEgqC,GAAG,EAAE,EAAE,EAAE,OAAO,EAAE/pC,EAAEukC,GAAGzkC,EAAEC,CAAC,EAAEU,EAAEokC,GAAG1B,GAAGnjC,EAAE0gC,GAAG,CAAC,EAAE,OAAO,CAAC,EAAE6B,GAAGviC,EAAE0gC,GAAG,CAAC3iC,EAAE,OAAO,CAAC,CAAC,EAAE2C,EAAEwlC,GAAG,CAAC,EAAE,CAAC,EAAE/nC,EAAE,KAAK,EAAE,OAAO47B,EAAE0T,GAAGqB,GAAG/U,EAAE57B,EAAE,CAAC,GAAG,EAAE,CAAC,CAAC,CAAC,EAAE,IAAIwC,GAAGo+B,GAAGt+B,EAAEE,EAAED,CAAC,CAAC,CAAC,EAAEtC,CAAC,CAAC,CAAC,IAAIq2C,GAAGzqB,EAAE,CAAC,UAAUwqB,EAAE,CAAC,EAAE,SAASE,GAAG72C,EAAE,CAAC,IAAI,EAAE,GAAG,MAAM,QAAQA,CAAC,EAAE,CAAC,EAAE,GAAG8X,EAAE9X,GAAG,MAAMA,EAAE,OAAO,EAAE,IAAI,mEAAmE,EAAE,IAAIO,EAAEP,EAAE,GAAG,MAAM,GAAG,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAE8X,EAAE9X,EAAE,GAAG,MAAM,KAAKO,EAAE,IAAI,iEAAiEP,EAAE,GAAG,MAAM,UAAUO,IAAI,CAAC,MAAM,EAAE,GAAGP,EAAEovC,GAAGpvC,EAAEA,EAAE,MAAM,GAAG,CAAC,EAAE,IAAIO,GAAGmvC,GAAGnvC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEuX,EAAE9X,EAAE,QAAQA,EAAE,GAAG,MAAM,GAAG,IAAI,oCAAoCA,EAAE,yCAAyCA,EAAE,GAAG,MAAM,MAAM,EAAE,IAAIE,EAAE,CAAC,EAAEI,EAAEN,EAAE,QAAQO,EAAE,EAAEA,EAAEP,EAAE,OAAO,EAAEO,EAAEL,EAAE,KAAKgrB,EAAE,KAAK,IAAI,CAAC,IAAI,EAAE5qB,EAAEC,GAAG,GAAGA,EAAE,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAE,CAAC,IAAI0B,EAAEm3B,EAAE+J,GAAG/J,EAAEl5B,EAAE,GAAG,CAAC,CAAC,EAAEA,EAAE,EAAE,EAAE,EAAEwmC,GAAG,EAAEzkC,CAAC,CAAC,CAAC,OAAOi3B,GAAG,EAAEoK,GAAG,EAAE,WAAW,CAAC,CAAC,CAAC,CAAC,EAAE,OAAO,EAAEsM,GAAG1vC,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAI42C,GAAG3qB,EAAE,CAAC,aAAa0qB,EAAE,CAAC,EAAE,SAASE,GAAG/2C,EAAE,EAAE,GAAG,CAAC,GAAG8X,EAAE9X,EAAE,MAAM,EAAE,IAAI,gEAAgEA,EAAE,MAAM,EAAEA,EAAE,OAAO,EAAE,OAAOg3C,GAAGh3C,EAAE,CAAC,EAAE,CAAC,IAAIE,EAAEF,EAAE,MAAM,MAAM,EAAEA,EAAE,MAAM,OAAO,CAAC,EAAE,OAAO,CAACkC,EAAEC,IAAID,EAAEC,CAAC,EAAE7B,EAAE2wC,GAAG/U,EAAEl8B,EAAE,CAACE,EAAEF,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAGA,EAAE,MAAMA,EAAE,MAAM,OAAO,EAAE,CAAC,EAAE,CAAC,EAAEO,EAAE,CAAC,EAAE,EAAE,CAAC,EAAED,EAAE,QAAQ4B,GAAG,CAAC,GAAG,CAACC,EAAES,CAAC,EAAEo0C,GAAG90C,EAAE,CAAC,EAAE3B,EAAE,KAAK4B,CAAC,EAAE,EAAE,KAAKS,CAAC,CAAC,CAAC,EAAE,IAAI,EAAEs5B,EAAE0T,GAAGrvC,EAAE,CAAC,EAAEP,EAAE,KAAK,EAAEiC,EAAEi6B,EAAE0T,GAAG,EAAE,CAAC,EAAE5vC,EAAE,KAAK,EAAE,MAAM,CAAC,EAAEiC,CAAC,CAAC,CAAC,CAAC,SAAS+0C,GAAGh3C,EAAE,EAAE,GAAG,CAAC,OAAOkrB,EAAE,KAAK,IAAI,CAACpT,EAAE9X,EAAE,MAAM,SAAS,EAAE,IAAI,0CAA0CA,EAAE,MAAM,iBAAiB,EAAE,IAAIE,EAAEF,EAAE,MAAM,GAAGM,EAAEN,EAAE,MAAM,GAAGO,EAAE2jC,GAAGhkC,CAAC,EAAE,EAAEywB,GAAG3wB,CAAC,EAAE,EAAEowC,GAAG,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEnuC,EAAE0uB,GAAG,CAAC,EAAEzuB,EAAEhC,GAAGI,EAAEA,EAAEJ,EAAE,QAAQiC,EAAE,EAAEA,EAAED,EAAE,EAAEC,EAAE,CAAC,IAAIS,EAAE,EAAEC,EAAEZ,EAAEa,EAAEvC,EAAE,CAAC0B,EAAE,EAAE1B,CAAC,EAAE2qB,EAAE,KAAK,IAAI,CAAC,IAAInoB,EAAE65B,GAAG,EAAE,CAACz6B,EAAEA,CAAC,EAAE,CAACjC,EAAEiC,EAAE,CAAC,CAAC,EAAEa,EAAEsgC,GAAGvgC,CAAC,EAAEmB,EAAE04B,GAAG,EAAE,CAACz6B,EAAEA,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,EAAE++B,GAAGsD,GAAGtgC,EAAE,CAAC,EAAEksC,GAAG,CAAC,CAAC,EAAE,CAAC,CAAC,EAAEA,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE7oC,EAAEm/B,GAAGxiC,EAAEk1B,EAAE,EAAEp2B,CAAC,CAAC,EAAE+B,EAAEm0B,GAAGn2B,EAAEwE,CAAC,EAAExC,EAAE,MAAM,KAAK,EAAE9C,EAAE0uB,GAAG,CAAC,EAAE1uB,EAAEu6B,GAAG,CAAC,EAAEI,GAAG73B,EAAE,CAAC,EAAE,CAAC,EAAE,CAACA,EAAE,MAAM,GAAG,EAAEA,EAAE,MAAM,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,IAAIJ,EAAE8vB,GAAGyE,GAAGpG,GAAG,EAAEvrB,CAAC,EAAEvE,CAAC,CAAC,EAAE4B,EAAEg4B,GAAG,EAAE,CAACz6B,EAAE,CAAC,EAAE,CAACjC,EAAEiC,EAAE7B,CAAC,CAAC,EAAEuE,EAAEu0B,EAAEz0B,EAAE1C,CAAC,EAAE6C,EAAE+vB,GAAG5yB,CAAC,EAAE,GAAGE,IAAI,EAAE,EAAEukC,GAAG9hC,EAAEkuB,GAAGjuB,EAAEiuB,GAAGhuB,EAAEF,CAAC,CAAC,CAAC,MAAM,CAAC,IAAI6C,EAAEi/B,GAAG9hC,EAAEkuB,GAAGjuB,EAAEiuB,GAAGhuB,EAAEF,CAAC,CAAC,CAAC,EAAE,EAAE43B,GAAG,CAACI,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAACz6B,EAAE7B,CAAC,CAAC,EAAEmH,CAAC,EAAE,CAAC,CAAC,CAAC,IAAID,EAAEqtB,GAAGhwB,CAAC,EAAEG,EAAE43B,GAAGr8B,EAAE,CAAC,EAAE4B,CAAC,EAAE,CAACjC,EAAEK,EAAE,MAAM,GAAG4B,CAAC,CAAC,EAAE,GAAGA,IAAI,EAAE5B,EAAEmmC,GAAG1hC,EAAE8tB,GAAGA,GAAG9tB,EAAE/C,CAAC,EAAEuF,CAAC,CAAC,MAAM,CAAC,IAAIC,EAAEi/B,GAAG1hC,EAAE8tB,GAAGA,GAAG9tB,EAAE/C,CAAC,EAAEuF,CAAC,CAAC,EAAEjH,EAAEi8B,GAAG,CAACI,GAAGr8B,EAAE,CAAC,EAAE,CAAC,EAAE,CAACL,EAAEiC,CAAC,CAAC,EAAEsF,CAAC,EAAE,CAAC,CAAC,CAAC,MAAM,CAACxF,EAAE,EAAE1B,CAAC,CAAC,CAAC,EAAEmzB,GAAG,CAAC9wB,EAAEC,EAAEC,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,GAAG5C,EAAEI,IAAIC,EAAEq8B,GAAGr8B,EAAE,CAAC,EAAE,CAAC,EAAE,CAACL,EAAEI,CAAC,CAAC,EAAE,EAAEs8B,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAACt8B,EAAEA,CAAC,CAAC,GAAG,CAACC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI02C,GAAG9qB,EAAE,CAAC,IAAI4qB,EAAE,CAAC,EAAMG,IAAI,SAASl3C,EAAE,CAACA,EAAEA,EAAE,KAAK,GAAG,OAAOA,EAAEA,EAAE,KAAK,GAAG,OAAOA,EAAEA,EAAE,IAAI,GAAG,MAAMA,EAAEA,EAAE,uBAAuB,GAAG,wBAAwB,GAAGk3C,KAAKA,GAAG,CAAC,EAAE,EAAE,SAASC,GAAGn3C,EAAE,EAAEE,EAAEg3C,GAAG,uBAAuB,CAAC,IAAI52C,EAAE0rB,EAAEhsB,EAAE,SAAS,qBAAqB,EAAEO,EAAE,KAAK,GAAG,OAAOA,EAAEyrB,EAAE,EAAE,UAAU,qBAAqB,GAAG,IAAI,EAAEzrB,GAAG,KAAKD,EAAE84B,EAAE94B,EAAEC,CAAC,EAAE,GAAGL,IAAIg3C,GAAG,KAAK,OAAO,EAAE,GAAGh3C,IAAIg3C,GAAG,IAAI,OAAO/T,GAAG,CAAC,EAAE,GAAGjjC,IAAIg3C,GAAG,KAAK,CAAC,GAAG32C,GAAG,KAAK,OAAO6nC,GAAG,CAAC,EAAE,CAAC,IAAI,EAAE9nC,EAAE,KAAKC,EAAE,KAAK0B,EAAEi3B,GAAGiK,GAAG,CAAC,EAAEA,GAAG5iC,CAAC,CAAC,EAAE,OAAO,EAAE,EAAE24B,GAAGj3B,EAAE4gC,GAAG,CAAC,CAAC,EAAE5gC,CAAC,CAAC,CAAC,GAAG/B,IAAIg3C,GAAG,uBAAuB,CAAC,GAAG32C,GAAG,KAAK,OAAO24B,GAAGiK,GAAG,CAAC,EAAEN,GAAGviC,EAAE,IAAI,CAAC,EAAE,CAAC,IAAI,EAAE84B,EAAE74B,EAAE+nC,GAAGhoC,EAAE,KAAK,CAAC,EAAE2B,EAAEwuB,GAAE0S,GAAGkG,GAAG,EAAExG,GAAG,CAAC,CAAC,CAAC,EAAE,SAAS,EAAE,OAAO3J,GAAGiK,GAAG,CAAC,EAAElhC,CAAC,CAAC,CAAC,CAAC,MAAM,MAAM,sBAAsB/B,GAAG,CAAC,CAAC,IAAIk3C,GAAGjrB,EAAE,CAAC,qBAAqBgrB,EAAE,CAAC,EAAE,SAASE,GAAGr3C,EAAE,EAAEE,EAAEI,EAAE42C,GAAG,uBAAuB,CAAC,IAAI32C,EAAEyrB,EAAEhsB,EAAE,SAAS,oBAAoB,EAAE,EAAEgsB,EAAE,EAAE,cAAc,oBAAoB,EAAE,EAAE,KAAK9rB,GAAG,OAAO,EAAE8rB,EAAE9rB,EAAE,UAAU,oBAAoB,GAAG6X,GAAGxX,EAAE,MAAM,EAAE,MAAM,+BAA+B,EAAE,IAAI0B,EAAEq3B,GAAGoN,GAAGnmC,EAAE,CAAC,CAAC,EAAE,OAAO62C,GAAGn1C,EAAE,EAAE3B,CAAC,CAAC,CAAC,IAAIg3C,GAAGnrB,EAAE,CAAC,oBAAoBkrB,EAAE,CAAC,EAAE,SAASE,GAAGv3C,EAAE,EAAEE,EAAEI,EAAEC,EAAE22C,GAAG,uBAAuB,CAAC,IAAI,EAAElrB,EAAEhsB,EAAE,SAAS,gBAAgB,EAAE,EAAEgsB,EAAE,EAAE,cAAc,gBAAgB,EAAE/pB,EAAE,KAAK3B,GAAG,OAAO2B,EAAE+pB,EAAE1rB,EAAE,UAAU,gBAAgB,GAAGyX,GAAG,EAAE,MAAM,EAAE,MAAM,2BAA2B,EAAE,IAAI7V,EAAE2gC,GAAG,CAAC,EAAE1gC,EAAEukC,GAAGxkC,EAAEihC,GAAG/J,EAAE,EAAE,CAAC,EAAEl5B,EAAE,EAAE,CAAC,EAAE,OAAOk3C,GAAGj1C,EAAEF,EAAE1B,CAAC,CAAC,CAAC,IAAIi3C,GAAGrrB,EAAE,CAAC,gBAAgBorB,EAAE,CAAC,EAAE,SAASE,GAAGz3C,EAAE,EAAEE,EAAEI,EAAE42C,GAAG,uBAAuB,CAAC,IAAI32C,EAAEyrB,EAAEhsB,EAAE,SAAS,WAAW,EAAE,EAAEgsB,EAAE,EAAE,cAAc,WAAW,EAAE,EAAE,KAAK9rB,GAAG,OAAO,EAAE8rB,EAAE9rB,EAAE,UAAU,WAAW,GAAG6X,GAAGxX,EAAE,MAAM,EAAE,MAAM,sBAAsB,EAAE,IAAI0B,EAAE4gC,GAAG,CAAC,EAAEtiC,EAAEmmC,GAAGtN,EAAEyJ,GAAG,CAAC,EAAEtiC,CAAC,EAAE0B,CAAC,EAAE,IAAIC,EAAEoqC,GAAG5F,GAAGzkC,EAAEm3B,EAAE74B,EAAE,CAAC,CAAC,CAAC,EAAE,OAAO62C,GAAGl1C,EAAE,EAAE5B,CAAC,CAAC,CAAC,IAAIo3C,GAAGvrB,EAAE,CAAC,WAAWsrB,EAAE,CAAC,EAAE,SAASE,GAAG33C,EAAE,EAAEE,EAAEI,EAAE,EAAEC,EAAE22C,GAAG,uBAAuB,CAAC,IAAI,EAAElrB,EAAEhsB,EAAE,SAAS,WAAW,EAAE,EAAEgsB,EAAE,EAAE,cAAc,WAAW,EAAE/pB,EAAE,KAAK/B,GAAG,OAAO+B,EAAE+pB,EAAE9rB,EAAE,UAAU,WAAW,GAAG6X,GAAG,EAAE,MAAM,EAAE,MAAM,sBAAsB,EAAE,IAAI7V,EAAE2gC,GAAGviC,CAAC,EAAE6B,EAAEm3B,GAAGoN,GAAG,EAAE,CAAC,CAAC,EAAE9jC,EAAE6lC,GAAGtmC,EAAED,CAAC,EAAEW,EAAE6jC,GAAGvkC,EAAES,CAAC,EAAEE,EAAEg2B,EAAEM,EAAEyJ,GAAG,EAAE,EAAEI,GAAGrgC,CAAC,CAAC,EAAEw2B,EAAEl3B,EAAEW,CAAC,CAAC,EAAE,OAAOu0C,GAAGt0C,EAAEb,EAAE1B,CAAC,CAAC,CAAC,IAAIq3C,GAAGzrB,EAAE,CAAC,WAAWwrB,EAAE,CAAC,EAAE,SAASE,GAAG73C,EAAE,EAAEE,EAAEI,EAAE,KAAKC,EAAE22C,GAAG,uBAAuB,CAAC,IAAI,EAAElrB,EAAEhsB,EAAE,SAAS,SAAS,EAAE,EAAEgsB,EAAE,EAAE,cAAc,SAAS,EAAE/pB,EAAE,KAAK/B,GAAG,OAAO+B,EAAE+pB,EAAE9rB,EAAE,UAAU,SAAS,GAAG6X,GAAG,EAAE,MAAM,EAAE,MAAM,oBAAoB,EAAE,IAAI7V,EAAE2gC,GAAG,CAAC,EAAE1gC,EAAE0gC,GAAGviC,CAAC,EAAEsC,EAAE6xB,GAAG2E,EAAE,EAAEuM,GAAG7M,EAAE,EAAE32B,CAAC,CAAC,CAAC,CAAC,EAAEU,EAAEu2B,EAAEsN,GAAGxkC,EAAE,CAAC,EAAEyjC,GAAG7M,EAAE4N,GAAGxkC,EAAE,CAAC,EAAEC,CAAC,CAAC,CAAC,EAAEW,EAAE4jC,GAAG9jC,EAAEC,CAAC,EAAE,OAAOu0C,GAAGt0C,EAAEb,EAAE1B,CAAC,CAAC,CAAC,IAAIu3C,GAAG3rB,EAAE,CAAC,SAAS0rB,EAAE,CAAC,EAAE,SAASE,GAAG/3C,EAAE,EAAEE,EAAEI,EAAE42C,GAAG,uBAAuB,CAAC,IAAI32C,EAAEyrB,EAAEhsB,EAAE,SAAS,kBAAkB,EAAE,EAAEgsB,EAAE,EAAE,cAAc,kBAAkB,EAAE,EAAE,KAAK9rB,GAAG,OAAO,EAAE8rB,EAAE9rB,EAAE,UAAU,kBAAkB,GAAG6X,GAAGxX,EAAE,MAAM,EAAE,MAAM,6BAA6B,EAAE,IAAI0B,EAAEutC,GAAGjvC,EAAE,CAAC,EAAE,OAAO62C,GAAGn1C,EAAE,EAAE3B,CAAC,CAAC,CAAC,IAAI03C,GAAG7rB,EAAE,CAAC,kBAAkB4rB,EAAE,CAAC,EAAE,SAASE,GAAGj4C,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,SAAS,+BAA+B,EAAEM,EAAE0rB,EAAE,EAAE,SAAS,+BAA+B,EAAEjU,GAAG7X,EAAE,MAAMI,EAAE,MAAM,0CAA0C,EAAE,IAAIC,EAAE+rC,GAAGhsC,CAAC,EAAE,EAAE84B,EAAE94B,EAAEJ,CAAC,EAAE,EAAE2lC,GAAGnC,GAAGjP,GAAG6E,GAAGh5B,CAAC,CAAC,CAAC,CAAC,EAAE,OAAOw4B,EAAE4N,GAAGnmC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,SAAS23C,GAAGl4C,EAAE,EAAEE,EAAEI,EAAE,EAAEC,EAAE22C,GAAG,uBAAuB,CAAC,IAAI,EAAElrB,EAAEhsB,EAAE,mBAAmB,qBAAqB,EAAE,EAAEgsB,EAAE,EAAE,SAAS,qBAAqB,EAAE/pB,EAAE,KAAK,GAAG/B,GAAG,OAAO+B,EAAE+pB,EAAE9rB,EAAE,UAAU,qBAAqB,GAAG6X,GAAG,EAAE,MAAM,EAAE,MAAM,gCAAgC,EAAEzX,EAAE,EAAE,CAAC,IAAI6B,EAAE0gC,GAAGviC,CAAC,EAAEsC,EAAEigC,GAAG,CAAC,EAAEhgC,EAAEggC,GAAG,EAAE,EAAE,EAAE/J,EAAEM,EAAE,EAAEsN,GAAG9jC,EAAET,CAAC,CAAC,EAAEi3B,EAAEv2B,EAAEV,CAAC,CAAC,CAAC,CAAC,IAAID,EAAE+1C,GAAG,EAAE,CAAC,EAAE,OAAOb,GAAGl1C,EAAED,EAAE1B,CAAC,CAAC,CAAC,IAAI43C,GAAGhsB,EAAE,CAAC,qBAAqB+rB,EAAE,CAAC,EAAE,SAASE,GAAGp4C,EAAE,EAAEE,EAAE,GAAG,CAAC,GAAGA,IAAI,KAAKA,EAAE,EAAE,KAAK,GAAGA,IAAI,EAAE,KAAK,EAAE,MAAM,MAAM,mGAAmG,EAAE,oBAAoBA,GAAG,EAAE,OAAOkmC,GAAG,CAAC7lC,EAAEwB,EAAEC,IAAI,CAAC,IAAIE,EAAE4kC,GAAG/kC,EAAE,CAAC7B,CAAC,EAAE,EAAE,EAAEiC,EAAEukC,GAAGjW,GAAE1uB,EAAE,SAAS,EAAEG,CAAC,EAAEF,EAAE,CAACzB,EAAE4B,CAAC,CAAC,EAAE,IAAIS,EAAE6xB,GAAG2E,EAAEj3B,EAAE5B,CAAC,CAAC,EAAE,MAAM,CAAC,MAAM4iC,GAAGvgC,EAAE,CAAC1C,CAAC,CAAC,EAAE,SAAS,CAAC6C,EAAEC,IAAI,CAAC,GAAG,CAACkB,EAAEC,CAAC,EAAEnB,EAAEuE,EAAE26B,GAAGn/B,EAAE,MAAM,CAAC7C,CAAC,CAAC,EAAE,MAAM,CAACk5B,EAAE8C,EAAEn5B,EAAEwE,CAAC,EAAEm/B,GAAGjW,GAAEvsB,EAAE,SAAS,EAAEw/B,GAAGv/B,CAAC,CAAC,CAAC,EAAEi1B,EAAE8C,EAAEn5B,EAAEwE,CAAC,EAAEm/B,GAAGhD,GAAGv/B,CAAC,EAAEssB,GAAEvsB,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAElE,EAAE,CAAC,CAAC,CAAC,SAASq4C,GAAGr4C,EAAE,EAAEE,EAAEI,EAAE,EAAEC,EAAE22C,GAAG,uBAAuB,CAAC,IAAI,EAAElrB,EAAEhsB,EAAE,eAAe,qBAAqB,EAAE,EAAEgsB,EAAE,EAAE,SAAS,qBAAqB,EAAE/pB,EAAE,KAAK,GAAG/B,GAAG,OAAO+B,EAAE+pB,EAAE9rB,EAAE,UAAU,qBAAqB,GAAG6X,GAAG,EAAE,MAAM,EAAE,MAAM,gCAAgC,EAAEzX,EAAE,EAAE,CAAC,IAAI6B,EAAE0gC,GAAGviC,CAAC,EAAEsC,EAAEigC,GAAG,CAAC,EAAEhgC,EAAEggC,GAAG,EAAE,MAAM,EAAE,EAAE,EAAE/J,EAAEM,EAAE,EAAEsN,GAAG9jC,EAAET,CAAC,CAAC,EAAE+2B,GAAG/2B,EAAEU,CAAC,CAAC,CAAC,CAAC,IAAIX,EAAEk2C,GAAG,EAAE,CAAC,EAAE,OAAOhB,GAAGl1C,EAAED,EAAE1B,CAAC,CAAC,CAAC,IAAI+3C,GAAGnsB,EAAE,CAAC,qBAAqBksB,EAAE,CAAC,EAAE,SAASE,GAAGv4C,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEyrB,EAAEhsB,EAAE,UAAU,sBAAsB,OAAO,EAAE,EAAEgsB,EAAE,EAAE,SAAS,qBAAqB,EAAE,EAAEA,EAAE9rB,EAAE,aAAa,sBAAsB,OAAO,EAAE+B,EAAE+pB,EAAE1rB,EAAE,eAAe,sBAAsB,EAAE,KAAK,EAAE,GAAGC,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM;AAAA,UACtnqDA,EAAE,OAAO,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,gDAAgD,EAAE,OAAO,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,qDAAqD,EAAE,OAAO,EAAE,GAAG0B,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,uDAAuDA,EAAE,OAAO,EAAE,IAAIC,EAAE,CAAC,QAAQ3B,EAAE,OAAO,EAAE,WAAW,EAAE,aAAa0B,CAAC,EAAEE,EAAE+oB,EAAE,UAAU9G,GAAGliB,CAAC,EAAE,MAAM,CAAC,cAAcC,EAAE,GAAG,aAAaA,EAAE,GAAG,kBAAkBA,EAAE,GAAG,gBAAgBA,EAAE,EAAE,CAAC,CAAC,IAAIq2C,GAAGrsB,EAAE,CAAC,qBAAqBosB,EAAE,CAAC,EAAE,SAASE,GAAGz4C,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE0rB,EAAEhsB,EAAE,eAAe,gBAAgB,OAAO,EAAEO,EAAEyrB,EAAE,EAAE,aAAa,gBAAgB,OAAO,EAAE,EAAEA,EAAE9rB,EAAE,WAAW,gBAAgB,OAAO,EAAE,GAAGI,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM;AAAA,UACnqBA,EAAE,OAAO,EAAE,GAAGC,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,qDAAqDA,EAAE,OAAO,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,mDAAmD,EAAE,OAAO,EAAE,IAAI,EAAE,CAAC,aAAaD,EAAE,WAAWC,EAAE,SAAS,CAAC,EAAE0B,EAAEipB,EAAE,UAAU7G,GAAG,CAAC,EAAE,MAAM,CAAC,cAAcpiB,EAAE,GAAG,YAAYA,EAAE,EAAE,CAAC,CAAC,IAAIy2C,GAAGvsB,EAAE,CAAC,eAAessB,EAAE,CAAC,EAAE,SAASE,GAAG34C,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE0rB,EAAEhsB,EAAE,OAAO,mBAAmB,EAAEO,EAAEyrB,EAAE,EAAE,UAAU,oBAAoB,OAAO,EAAE,EAAEA,EAAE9rB,EAAE,aAAa,oBAAoB,OAAO,EAAE,GAAGI,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,2DAA2D,EAAE,GAAGC,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM;AAAA,YAC7lBA,EAAE,OAAO,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM;AAAA,YACzC,EAAE,OAAO,EAAE,IAAI,EAAE,CAAC,KAAKD,EAAE,QAAQC,EAAE,WAAW,CAAC,EAAE,OAAO2qB,EAAE,UAAU5G,GAAG,CAAC,CAAC,CAAC,IAAIs0B,GAAGzsB,EAAE,CAAC,mBAAmBwsB,EAAE,CAAC,EAAE,SAASE,GAAG74C,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE0rB,EAAEhsB,EAAE,OAAO,kBAAkB,EAAEO,EAAEyrB,EAAE,EAAE,UAAU,mBAAmB,OAAO,EAAE,EAAEA,EAAE9rB,EAAE,aAAa,mBAAmB,OAAO,EAAE,GAAGI,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,2DAA2D,EAAE,GAAGC,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM;AAAA,WACvXA,EAAE,OAAO,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM;AAAA,WACzC,EAAE,OAAO,EAAE,IAAI,EAAE,CAAC,KAAKD,EAAE,QAAQC,EAAE,WAAW,CAAC,EAAE,OAAO2qB,EAAE,UAAU3G,GAAG,CAAC,CAAC,CAAC,IAAIu0B,GAAG3sB,EAAE,CAAC,kBAAkB0sB,EAAE,CAAC,EAAE,SAASE,GAAG/4C,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAE,CAAC,IAAIC,EAAE8pB,EAAEhsB,EAAE,OAAO,eAAe,QAAQ,EAAE,GAAGkC,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,iCAAiC,EAAE,GAAGA,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,+BAA+BA,EAAE,OAAO,EAAE,IAAIC,EAAE6pB,EAAE,EAAE,aAAa,cAAc,EAAE,GAAG7pB,EAAE,QAAQ,QAAQ,MAAM,IAAI,MAAM,uCAAuC,EAAE,IAAIS,EAAE,CAAC,UAAU1C,EAAE,YAAYI,EAAE,QAAQC,EAAE,SAAS,EAAE,SAAS,EAAE,uBAAuB0B,CAAC,EAAEY,EAAE,CAAC,KAAKX,EAAE,WAAWC,CAAC,EAAEW,EAAEooB,EAAE,UAAUtG,GAAG/hB,EAAED,CAAC,EAAE,MAAM,CAAC,OAAOE,EAAE,GAAG,aAAaA,EAAE,EAAE,CAAC,CAAC,IAAIk2C,GAAG7sB,EAAE,CAAC,cAAc4sB,EAAE,CAAC,EAAE,SAASE,GAAGj5C,EAAE,EAAEE,EAAE,GAAG,CAAC,IAAII,EAAE0rB,EAAEhsB,EAAE,QAAQ,cAAc,QAAQ,EAAEO,EAAEyrB,EAAE,EAAE,YAAY,cAAc,QAAQ,EAAE,GAAG1rB,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,+CAA+CA,EAAE,OAAO,EAAE,GAAGC,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,mDAAmDA,EAAE,OAAO,EAAE,IAAI,EAAE,CAAC,UAAUL,CAAC,EAAE,EAAE,CAAC,MAAMI,EAAE,UAAUC,CAAC,EAAE0B,EAAEipB,EAAE,UAAUrG,GAAG,EAAE,CAAC,EAAE,MAAM,CAAC,QAAQ5iB,EAAE,GAAG,OAAOA,EAAE,GAAG,MAAMA,EAAE,EAAE,CAAC,CAAC,IAAIi3C,GAAG/sB,EAAE,CAAC,aAAa8sB,EAAE,CAAC,EAAE,SAASE,GAAGn5C,EAAE,EAAE,CAAC,IAAIE,EAAE8rB,EAAEhsB,EAAE,QAAQ,yBAAyB,QAAQ,EAAEM,EAAE,CAAC,WAAW,CAAC,EAAE,GAAG,GAAG,EAAE,MAAM,IAAI,MAAM,sCAAsC,EAAE,IAAIC,EAAE,CAAC,MAAML,CAAC,EAAE,OAAOgrB,EAAE,UAAUpG,GAAGvkB,EAAED,CAAC,CAAC,CAAC,IAAI84C,GAAGjtB,EAAE,CAAC,wBAAwBgtB,EAAE,CAAC,EAAME,GAAG,CAAC,IAAIvK,GAAG,KAAKE,GAAG,KAAKM,GAAG,MAAMJ,EAAE,EAAEoK,GAAG,CAAC,cAAc3F,GAAG,WAAWE,GAAG,MAAME,GAAG,KAAKE,EAAE,EAAEsF,GAAG,CAAC,cAAclF,GAAG,eAAeE,GAAG,sBAAsB8B,GAAG,eAAeF,GAAG,iBAAiB1B,GAAG,cAAcN,GAAG,kBAAkBS,GAAG,uBAAuBa,GAAG,2BAA2BE,GAAG,gCAAgCE,GAAG,wBAAwBE,GAAG,6BAA6BE,GAAG,UAAUO,GAAG,UAAUE,EAAE,EAAE8C,GAAG,CAAC,SAAS5C,GAAG,YAAYE,GAAG,GAAGG,EAAE,EAAEwC,GAAG,CAAC,mBAAmBnC,GAAG,oBAAoBF,GAAG,eAAeI,GAAG,UAAUE,GAAG,UAAUE,GAAG,QAAQE,GAAG,iBAAiBE,GAAG,oBAAoBG,GAAG,oBAAoBG,EAAE,EAAEoB,GAAG,CAAC,oBAAoBlB,GAAG,cAAcE,GAAG,kBAAkBE,GAAG,iBAAiBE,EAAE,EAAEa,GAAG,CAAC,aAAaX,GAAG,YAAYE,GAAG,uBAAuBE,EAAE,EAAMQ,GAAG,cAAcliB,EAAE,CAAC,SAAS52B,EAAEZ,EAAE,GAAG,EAAE,CAAC,GAAG,CAAC,MAAMK,EAAE,MAAMwB,CAAC,EAAE,KAAK,iBAAiBjB,EAAE,CAAC,EAAE,GAAG,GAAG,KAAK,CAAC,IAAIkB,EAAE,EAAE,IAAIC,IAAI,CAAC,KAAKA,EAAE,KAAK,OAAOF,EAAEE,EAAE,KAAK,EAAE,EAAE,KAAK,eAAeD,CAAC,CAAC,MAAM,KAAK,eAAeD,CAAC,EAAE,OAAO2xB,GAAG3xB,CAAC,EAAE7B,EAAEK,GAAGA,EAAE,QAAQ,EAAE,KAAK,CAAC,IAAI,YAAY,CAAC,OAAO,KAAK,aAAa,OAAO,KAAK,YAAY,GAAG,KAAK,WAAW,CAAC,qBAAqB,CAAC,KAAK,YAAY,KAAK,WAAW,CAAC,CAAC,iBAAiBO,EAAEZ,EAAE,CAAC,OAAOimC,GAAGrlC,EAAEZ,CAAC,CAAC,CAAC,SAAS,CAAC,KAAK,aAAa,MAAMwzB,GAAG,KAAK,WAAW,CAAC,CAAC,MAAM,gBAAgB,CAAC,OAAO,KAAK,aAAa,OAAO,KAAK,YAAY,GAAG,CAAC,KAAK,OAAO,OAAOmP,GAAG,KAAK,YAAY,OAAO,CAAC,CAAC,CAAC,MAAM,YAAY,CAAC,MAAM,IAAI,MAAM,yDAAyD,CAAC,CAAC,MAAM,WAAW/hC,EAAE,CAAC,MAAM,IAAI,MAAM,4DAA4D,KAAK,aAAa,GAAG,CAAC,CAAC,MAAM,kBAAkBA,EAAE,CAAC,OAAO,KAAK,aAAa,MAAMA,EAAE,GAAG,OAAO,KAAK,GAAG,GAAGA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAE,OAAO,eAAe84C,GAAG,OAAO,YAAY,CAAC,MAAM55C,GAAGA,EAAE,UAAU,MAAMA,EAAE,kBAAkB,MAAMA,EAAE,gBAAgB,IAAI,CAAC,EAAE,IAAI65C,GAAG,cAAcD,EAAE,CAAC,YAAY94C,EAAEZ,EAAE,EAAE,KAAK,CAAC,MAAM,EAAE,KAAK,aAAaY,EAAE,KAAK,IAAIZ,EAAE,KAAK,QAAQ,EAAE,KAAK,iBAAiB,CAAC,EAAE,KAAK,mBAAmB,CAAC,EAAE,GAAG,OAAO,KAAK,QAAQgrB,EAAE,QAAQ,QAAQ,EAAE,CAAC,eAAepqB,EAAE,EAAE,MAAM,QAAQA,CAAC,EAAEA,EAAE,IAAIR,GAAGA,EAAE,IAAI,EAAE,OAAO,KAAKQ,CAAC,GAAG,QAAQ,CAACR,EAAEC,IAAI,CAAC,IAAIwB,EAAEmpB,EAAE,oBAAoB5qB,GAAG0B,EAAE,GAAG,KAAK,iBAAiBzB,IAAI,OAAO,KAAK,iBAAiBA,GAAG,CAAC,aAAa,GAAGD,eAAe,SAASmzB,EAAE,IAAI2N,GAAGr/B,CAAC,EAAE,SAASC,CAAC,CAAC,CAAC,GAAG,KAAK,mBAAmBzB,IAAI,OAAO,KAAK,mBAAmBA,GAAG,CAAC,aAAa,GAAGD,cAAc,SAASmzB,EAAE,IAAI2N,GAAGr/B,CAAC,EAAE,SAASC,CAAC,CAAC,CAAC,GAAG,IAAIC,EAAE,MAAM,QAAQnB,CAAC,EAAEA,EAAEP,GAAG,OAAOO,EAAER,GAAG,GAAG2B,GAAG,KAAK,OAAO,IAAIC,EAAE,KAAK,iBAAiB3B,GAAG,SAAS4B,EAAE,KAAK,mBAAmB5B,GAAG,SAASkzB,EAAE,IAAI,CAAC,IAAI7wB,EAAEk2B,EAAEM,EAAEl3B,EAAE,KAAK,GAAG,EAAEk3B,EAAE6J,GAAGhhC,CAAC,EAAE,EAAE,KAAK,GAAG,CAAC,EAAEY,EAAEu2B,EAAEF,GAAG6J,GAAGjK,EAAE32B,EAAE,KAAK,OAAO,CAAC,EAAE4gC,GAAGjK,EAAE52B,EAAE,KAAK,OAAO,CAAC,CAAC,EAAED,CAAC,EAAEa,EAAEg2B,EAAEM,EAAEj3B,EAAE,KAAK,GAAG,EAAEi3B,EAAE6J,GAAGpgC,CAAC,EAAE,EAAE,KAAK,GAAG,CAAC,EAAEX,EAAE,OAAOU,CAAC,EAAET,EAAE,OAAOW,CAAC,EAAE,IAAIC,EAAE+1B,EAAEM,EAAEv2B,EAAE,CAAC,KAAK,YAAY,EAAEd,CAAC,EAAEA,EAAE,OAAOgB,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,oBAAoB,CAAC,CAAC,SAAS,CAAC,KAAK,oBAAoB,OAAO2wB,GAAG,KAAK,iBAAiB,IAAI5yB,GAAGA,EAAE,QAAQ,CAAC,EAAE4yB,GAAG,KAAK,mBAAmB,IAAI5yB,GAAGA,EAAE,QAAQ,CAAC,EAAE,CAAC,MAAM,YAAY,CAAC,IAAIA,EAAE,CAAC,GAAG,KAAK,iBAAiB,GAAG,KAAK,kBAAkB,EAAE,MAAM,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAOA,EAAE,IAAIZ,IAAI,CAAC,KAAKA,EAAE,aAAa,OAAOA,EAAE,QAAQ,EAAE,CAAC,CAAC,CAAC,MAAM,WAAWY,EAAE,CAACA,EAAE,MAAM,KAAK,kBAAkBA,CAAC,EAAE,IAAIZ,EAAEY,EAAE,OAAO,EAAE,EAAE,GAAG,KAAK,iBAAiBA,EAAE,MAAM,EAAEZ,CAAC,EAAE,IAAIK,IAAI,CAAC,aAAaA,EAAE,KAAK,SAASA,EAAE,OAAO,SAAS,CAAC,CAAC,EAAE,EAAE,KAAK,mBAAmBO,EAAE,MAAMZ,EAAEA,EAAE,CAAC,EAAE,IAAIK,IAAI,CAAC,aAAaA,EAAE,KAAK,SAASA,EAAE,OAAO,SAAS,CAAC,CAAC,EAAE,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,aAAa,KAAK,aAAa,IAAI,KAAK,IAAI,QAAQ,KAAK,OAAO,CAAC,CAAC,OAAO,WAAWO,EAAEZ,EAAE,CAAC,OAAO,IAAIY,EAAEZ,EAAE,aAAaA,EAAE,IAAIA,EAAE,OAAO,CAAC,CAAC,EAAE25C,GAAG,UAAU,WAAWjiB,GAAGiiB,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAY94C,EAAEZ,EAAE,GAAG,CAAC,MAAM,EAAE,KAAK,aAAaY,EAAE,KAAK,wBAAwBZ,EAAE,KAAK,iBAAiB,CAAC,CAAC,CAAC,eAAeY,EAAE,EAAE,MAAM,QAAQA,CAAC,EAAEA,EAAE,IAAIR,GAAGA,EAAE,IAAI,EAAE,OAAO,KAAKQ,CAAC,GAAG,QAAQ,CAACR,EAAEC,IAAI,CAAC,IAAIwB,EAAEmpB,EAAE,oBAAoB5qB,GAAG,KAAK,iBAAiBC,IAAI,OAAO,KAAK,iBAAiBA,GAAG,CAAC,aAAa,GAAGD,gBAAgB,SAASmzB,EAAE,IAAI2K,GAAGr8B,EAAE,MAAM,KAAK,uBAAuB,EAAE,SAAS,EAAE,CAAC,CAAC,GAAG,IAAIC,EAAE,MAAM,QAAQlB,CAAC,EAAEA,EAAEP,GAAG,OAAOO,EAAER,GAAG,GAAG0B,GAAG,KAAK,OAAO,IAAIC,EAAE,KAAK,iBAAiB1B,GAAG,SAASkzB,EAAE,IAAI,CAAC,IAAIvxB,EAAE42B,EAAE72B,EAAEghC,GAAGjhC,CAAC,CAAC,EAAEC,EAAE,OAAOC,CAAC,EAAE,IAAIC,EAAE22B,EAAEM,EAAEF,GAAGl3B,EAAE+gC,GAAGjK,EAAE52B,EAAEgpB,EAAE,QAAQ,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,KAAK,YAAY,EAAEnpB,CAAC,EAAEA,EAAE,OAAOI,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,oBAAoB,CAAC,CAAC,SAAS,CAAC,KAAK,kBAAkB,MAAMuxB,GAAG,KAAK,iBAAiB,IAAI5yB,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,MAAM,YAAY,CAAC,MAAM,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAO,KAAK,iBAAiB,IAAIA,IAAI,CAAC,KAAKA,EAAE,aAAa,OAAOA,EAAE,QAAQ,EAAE,CAAC,CAAC,CAAC,MAAM,WAAWA,EAAE,CAACA,EAAE,MAAM,KAAK,kBAAkBA,CAAC,EAAE,IAAIZ,EAAE,GAAG,KAAK,iBAAiBY,EAAE,IAAI,IAAI,CAAC,aAAa,EAAE,KAAK,SAAS,EAAE,OAAO,SAASZ,CAAC,CAAC,EAAE,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,aAAa,KAAK,aAAa,wBAAwB,KAAK,uBAAuB,CAAC,CAAC,OAAO,WAAWY,EAAEZ,EAAE,CAAC,OAAO,IAAIY,EAAEZ,EAAE,aAAaA,EAAE,uBAAuB,CAAC,CAAC,EAAE45C,GAAG,UAAU,UAAUliB,GAAGkiB,EAAE,EAAE,IAAIC,GAAG,cAAcH,EAAE,CAAC,YAAY94C,EAAEZ,EAAE,EAAEK,EAAE,KAAK,CAAC,MAAM,EAAE,KAAK,aAAaO,EAAE,KAAK,MAAMZ,EAAE,KAAK,MAAM,EAAE,KAAK,QAAQK,EAAE,KAAK,uBAAuB,CAAC,EAAE,KAAK,wBAAwB,CAAC,EAAEkzB,EAAE,IAAI,CAAC,KAAK,SAASoP,GAAG3iC,CAAC,EAAE,SAAS,EAAE,KAAK,SAAS2iC,GAAG,CAAC,EAAE,SAAS,CAAC,CAAC,EAAEtiC,GAAG,OAAO,KAAK,QAAQ2qB,EAAE,QAAQ,QAAQ,EAAE,CAAC,eAAepqB,EAAE,CAAC,IAAIZ,EAAE,MAAM,QAAQY,CAAC,EAAEA,EAAE,IAAI,GAAG,EAAE,IAAI,EAAE,OAAO,KAAKA,CAAC,EAAE2yB,EAAE,IAAI,CAAC,IAAI,EAAEiT,GAAG,EAAE,KAAK,QAAQ,EAAEnmC,EAAEmmC,GAAG,EAAE,KAAK,QAAQ,EAAExmC,EAAE,QAAQ,CAAC6B,EAAEC,IAAI,CAAC,IAAIC,EAAEipB,EAAE,oBAAoBnpB,GAAGG,EAAE,GAAG,KAAK,uBAAuBF,IAAI,OAAO,KAAK,uBAAuBA,GAAG,CAAC,aAAa,GAAGD,MAAM,SAAS0xB,EAAE,IAAI2N,GAAGn/B,CAAC,EAAE,SAASC,CAAC,CAAC,CAAC,GAAG,KAAK,wBAAwBF,IAAI,OAAO,KAAK,wBAAwBA,GAAG,CAAC,aAAa,GAAGD,MAAM,SAAS0xB,EAAE,IAAI2N,GAAGn/B,CAAC,EAAE,SAASC,CAAC,CAAC,CAAC,GAAG,IAAI,EAAE,MAAM,QAAQpB,CAAC,EAAEA,EAAEkB,GAAG,OAAOlB,EAAEiB,GAAG,GAAG,GAAG,KAAK,OAAO,IAAIa,EAAE,KAAK,uBAAuBZ,GAAG,SAAS,EAAE,KAAK,wBAAwBA,GAAG,SAASc,EAAEg2B,EAAEM,EAAEx2B,EAAE,KAAK,KAAK,EAAEw2B,EAAE,EAAE,EAAE,KAAK,KAAK,CAAC,EAAEr2B,EAAE+1B,EAAEM,EAAE,EAAE,KAAK,KAAK,EAAEA,EAAE6J,GAAG,CAAC,EAAE,EAAE,KAAK,KAAK,CAAC,EAAEjgC,EAAEk2B,GAAGp2B,EAAE,CAAC,EAAEoB,EAAEg1B,GAAGn2B,EAAExC,CAAC,EAAEqC,EAAE,OAAOE,CAAC,EAAE,EAAE,OAAOC,CAAC,EAAE,IAAIoB,EAAE20B,EAAEM,EAAEF,GAAGl2B,EAAE81B,EAAEiK,GAAG7+B,CAAC,EAAE,KAAK,OAAO,CAAC,EAAE,CAAC,KAAK,YAAY,EAAEjC,CAAC,EAAEA,EAAE,OAAOkC,CAAC,CAAC,CAAC,EAAE,KAAK,SAAS,OAAOi1B,EAAE,KAAK,SAAS,KAAK,KAAK,CAAC,EAAE,KAAK,SAAS,OAAOA,EAAE,KAAK,SAAS,KAAK,KAAK,CAAC,CAAC,CAAC,EAAE,KAAK,oBAAoB,CAAC,CAAC,SAAS,CAAC,KAAK,SAAS,QAAQ,EAAE,KAAK,SAAS,QAAQ,EAAE,KAAK,wBAAwB,MAAM1F,GAAG,KAAK,uBAAuB,IAAI5yB,GAAGA,EAAE,QAAQ,CAAC,EAAE,KAAK,yBAAyB,MAAM4yB,GAAG,KAAK,wBAAwB,IAAI5yB,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,MAAM,YAAY,CAAC,IAAIA,EAAE,CAAC,GAAG,KAAK,uBAAuB,GAAG,KAAK,uBAAuB,EAAE,MAAM,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAOA,EAAE,IAAIZ,IAAI,CAAC,KAAKA,EAAE,aAAa,OAAOA,EAAE,QAAQ,EAAE,CAAC,CAAC,CAAC,MAAM,WAAWY,EAAE,CAACA,EAAE,MAAM,KAAK,kBAAkBA,CAAC,EAAE2yB,EAAE,IAAI,CAAC,KAAK,SAAS,OAAOmP,GAAG,KAAK,MAAM,KAAK,YAAY,CAAC,CAAC,EAAE,KAAK,SAAS,OAAOA,GAAG,KAAK,MAAM,KAAK,YAAY,CAAC,CAAC,CAAC,CAAC,EAAE,IAAI1iC,EAAEY,EAAE,OAAO,EAAE,EAAE,GAAG,KAAK,uBAAuBA,EAAE,MAAM,EAAEZ,CAAC,EAAE,IAAIK,IAAI,CAAC,aAAaA,EAAE,KAAK,SAASA,EAAE,OAAO,SAAS,CAAC,CAAC,EAAE,EAAE,KAAK,wBAAwBO,EAAE,MAAMZ,EAAEA,EAAE,CAAC,EAAE,IAAIK,IAAI,CAAC,aAAaA,EAAE,KAAK,SAASA,EAAE,OAAO,SAAS,CAAC,CAAC,EAAE,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,aAAa,KAAK,aAAa,MAAM,KAAK,MAAM,MAAM,KAAK,MAAM,QAAQ,KAAK,OAAO,CAAC,CAAC,OAAO,WAAWO,EAAEZ,EAAE,CAAC,OAAO,IAAIY,EAAEZ,EAAE,aAAaA,EAAE,MAAMA,EAAE,MAAMA,EAAE,OAAO,CAAC,CAAC,EAAE65C,GAAG,UAAU,OAAOniB,GAAGmiB,EAAE,EAAE,IAAIC,GAAG,cAAcJ,EAAE,CAAC,YAAY94C,EAAEZ,EAAE,EAAEK,EAAE,KAAKwB,EAAE,EAAE,CAAC,MAAM,EAAE,KAAK,aAAajB,EAAE,KAAK,MAAMZ,EAAE,KAAK,MAAM,EAAE,KAAK,QAAQK,EAAE,KAAK,MAAMwB,EAAE,KAAK,uBAAuB,CAAC,EAAE,KAAK,2BAA2B,CAAC,EAAE0xB,EAAE,IAAI,CAAC,KAAK,UAAUoP,GAAG,CAAC,EAAE,SAAS,EAAE,KAAK,SAASA,GAAG3iC,CAAC,EAAE,SAAS,CAAC,CAAC,EAAEK,GAAG,OAAO,KAAK,QAAQ2qB,EAAE,QAAQ,QAAQ,EAAE,CAAC,eAAepqB,EAAE,CAAC,IAAIZ,EAAE,MAAM,QAAQY,CAAC,EAAEA,EAAE,IAAI,GAAG,EAAE,IAAI,EAAE,OAAO,KAAKA,CAAC,EAAE2yB,EAAE,IAAI,CAAC,IAAI,EAAEiT,GAAG,EAAE,KAAK,QAAQ,EAAEnmC,EAAE24B,GAAG,CAAC,KAAK,aAAaJ,EAAEM,EAAE,KAAK,UAAU,KAAK,KAAK,EAAE,CAAC,CAAC,EAAEl5B,EAAE,QAAQ,CAAC6B,EAAEC,IAAI,CAAC,IAAIC,EAAEipB,EAAE,oBAAoBnpB,GAAGG,EAAE,GAAG,KAAK,uBAAuBF,IAAI,OAAO,KAAK,uBAAuBA,GAAG,CAAC,aAAa,GAAGD,MAAM,SAASq/B,GAAGn/B,CAAC,EAAE,SAASC,CAAC,CAAC,GAAG,KAAK,2BAA2BF,IAAI,OAAO,KAAK,2BAA2BA,GAAG,CAAC,aAAa,GAAGD,MAAM,SAASq/B,GAAGn/B,CAAC,EAAE,SAASC,CAAC,CAAC,GAAG,IAAI,EAAE,MAAM,QAAQpB,CAAC,EAAEA,EAAEkB,GAAG,OAAOlB,EAAEiB,GAAG,GAAG,GAAG,KAAK,OAAO,IAAIa,EAAE,KAAK,uBAAuBZ,GAAG,SAAS,EAAE,KAAK,2BAA2BA,GAAG,SAASc,EAAEg2B,EAAEM,EAAEx2B,EAAE,KAAK,KAAK,EAAEw2B,EAAE,EAAE,EAAE,KAAK,KAAK,CAAC,EAAEr2B,EAAEq2B,EAAE,EAAE,KAAK,KAAK,EAAEp2B,EAAEs2B,GAAG,CAAC,EAAEp1B,EAAEgkC,GAAGnlC,EAAEC,CAAC,EAAEJ,EAAE,OAAOE,CAAC,EAAE,EAAE,OAAOoB,CAAC,EAAE,IAAIC,EAAE20B,EAAEM,EAAEF,GAAG34B,EAAE,CAAC,EAAE24B,GAAGp2B,EAAEg2B,EAAE50B,EAAE,KAAK,OAAO,CAAC,CAAC,EAAEjC,CAAC,EAAEA,EAAE,OAAOkC,CAAC,CAAC,CAAC,EAAE,KAAK,UAAU,OAAO20B,EAAE,KAAK,UAAU,CAAC,CAAC,EAAE,KAAK,SAAS,OAAOM,EAAE,KAAK,SAAS,KAAK,KAAK,CAAC,CAAC,CAAC,EAAE,KAAK,oBAAoB,CAAC,CAAC,SAAS,CAAC,KAAK,SAAS,QAAQ,EAAE,KAAK,UAAU,QAAQ,EAAE,KAAK,wBAAwB,MAAM1F,GAAG,KAAK,uBAAuB,IAAI5yB,GAAGA,EAAE,QAAQ,CAAC,EAAE,KAAK,4BAA4B,MAAM4yB,GAAG,KAAK,2BAA2B,IAAI5yB,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,MAAM,YAAY,CAAC,MAAM,IAAI,MAAM,iDAAiD,CAAC,CAAC,MAAM,WAAWA,EAAE,CAAC,MAAM,IAAI,MAAM,iDAAiD,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,aAAa,KAAK,aAAa,MAAM,KAAK,MAAM,MAAM,KAAK,MAAM,QAAQ,KAAK,QAAQ,MAAM,KAAK,KAAK,CAAC,CAAC,OAAO,WAAWA,EAAEZ,EAAE,CAAC,OAAO,IAAIY,EAAEZ,EAAE,aAAaA,EAAE,MAAMA,EAAE,MAAMA,EAAE,QAAQA,EAAE,KAAK,CAAC,CAAC,EAAE85C,GAAG,UAAU,SAASpiB,GAAGoiB,EAAE,EAAE,IAAIC,GAAG,cAAcL,EAAE,CAAC,YAAY94C,EAAE,CAAC,MAAM,EAAE,KAAK,aAAaA,EAAE,KAAK,gBAAgBA,CAAC,CAAC,CAAC,eAAeA,EAAE,EAAE,MAAM,QAAQA,CAAC,EAAEA,EAAE,IAAIR,GAAGA,EAAE,IAAI,EAAE,OAAO,KAAKQ,CAAC,GAAG,QAAQ,CAACR,EAAEC,IAAI,CAAC,IAAIwB,EAAE,MAAM,QAAQjB,CAAC,EAAEA,EAAEP,GAAG,OAAOO,EAAER,GAAG,GAAGyB,GAAG,KAAK,OAAO,IAAIC,EAAEkpB,EAAE,oBAAoB5qB,GAAGmzB,EAAE,IAAI,CAAC,IAAIxxB,EAAE62B,EAAEM,EAAE,KAAK,EAAEr3B,CAAC,EAAEC,CAAC,EAAEA,EAAE,OAAOC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,oBAAoB,CAAC,CAAC,gBAAgBnB,EAAE,CAAC,KAAK,aAAaA,EAAE,KAAK,GAAG,MAAM,KAAK,EAAE,QAAQ,EAAE,KAAK,EAAE6yB,GAAGkP,GAAG,CAAC/hC,CAAC,CAAC,CAAC,CAAC,SAAS,CAAC,KAAK,EAAE,QAAQ,CAAC,CAAC,MAAM,YAAY,CAAC,MAAM,CAAC,MAAM,KAAK,eAAe,CAAC,CAAC,CAAC,MAAM,WAAWA,EAAE,CAAC,GAAGA,EAAE,MAAM,KAAK,kBAAkBA,CAAC,EAAEA,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,+CAA+C,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,aAAa,KAAK,YAAY,CAAC,CAAC,OAAO,WAAWA,EAAEZ,EAAE,CAAC,OAAO,IAAIY,EAAEZ,EAAE,YAAY,CAAC,CAAC,EAAE+5C,GAAG,UAAU,MAAMriB,GAAGqiB,EAAE,EAAE,IAAIC,GAAG,cAAcD,EAAE,CAAC,YAAYn5C,EAAEZ,EAAE,EAAE,GAAG,CAAC,MAAMY,CAAC,EAAE,KAAK,aAAaA,EAAE,KAAK,SAASZ,EAAE,KAAK,YAAY,EAAE,KAAK,cAAc,CAAC,EAAE,KAAK,EAAE2iC,GAAG,KAAK,QAAQ,CAAC,CAAC,eAAe/hC,EAAE,EAAE,MAAM,QAAQA,CAAC,EAAEA,EAAE,IAAIR,GAAGA,EAAE,IAAI,EAAE,OAAO,KAAKQ,CAAC,GAAG,QAAQ,CAACR,EAAEC,IAAI,CAAC,IAAIwB,EAAEmpB,EAAE,oBAAoB5qB,GAAG,KAAK,cAAcC,IAAI,OAAO,KAAK,cAAcA,GAAG,CAAC,aAAa,GAAGD,aAAa,SAASmzB,EAAE,IAAI2N,GAAGr/B,CAAC,EAAE,SAAS,EAAE,CAAC,CAAC,GAAG,IAAIC,EAAE,KAAK,cAAczB,GAAG,SAAS0B,EAAE,MAAM,QAAQnB,CAAC,EAAEA,EAAEP,GAAG,OAAOO,EAAER,GAAG2B,GAAG,MAAMwxB,EAAE,IAAI,CAAC,IAAIvxB,EAAEC,EAAE22B,EAAEM,EAAE,KAAK,EAAEp3B,CAAC,EAAEC,CAAC,EAAE,KAAK,YAAYC,EAAE42B,EAAEM,EAAE,KAAK,EAAEN,EAAE72B,EAAEm3B,EAAEj3B,EAAE,KAAK,CAAC,CAAC,CAAC,EAAEJ,CAAC,EAAEG,EAAE42B,EAAEM,EAAE,KAAK,EAAEj3B,CAAC,EAAEJ,CAAC,EAAEC,EAAE,OAAOG,CAAC,EAAEJ,EAAE,OAAOG,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,oBAAoB,CAAC,CAAC,SAAS,CAAC,KAAK,EAAE,QAAQ,EAAE,KAAK,eAAe,MAAMwxB,GAAG,KAAK,cAAc,IAAI5yB,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,YAAYA,EAAE,CAAC,KAAK,SAASA,CAAC,CAAC,MAAM,YAAY,CAAC,MAAM,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAO,KAAK,cAAc,IAAIA,IAAI,CAAC,KAAKA,EAAE,aAAa,OAAOA,EAAE,QAAQ,EAAE,CAAC,CAAC,CAAC,MAAM,WAAWA,EAAE,CAACA,EAAE,MAAM,KAAK,kBAAkBA,CAAC,EAAE,IAAIZ,EAAE,GAAG,KAAK,cAAcY,EAAE,IAAI,IAAI,CAAC,aAAa,EAAE,KAAK,SAAS,EAAE,OAAO,SAASZ,CAAC,CAAC,EAAE,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,aAAa,KAAK,aAAa,SAAS,KAAK,SAAS,YAAY,KAAK,WAAW,CAAC,CAAC,OAAO,WAAWY,EAAEZ,EAAE,CAAC,OAAO,IAAIY,EAAEZ,EAAE,aAAaA,EAAE,SAASA,EAAE,WAAW,CAAC,CAAC,EAAEg6C,GAAG,UAAU,WAAWtiB,GAAGsiB,EAAE,EAAE,IAAIC,GAAG,cAAcP,EAAE,CAAC,YAAY94C,EAAEZ,EAAE,GAAG,EAAE,EAAEK,EAAE,KAAKwB,EAAE,GAAG,CAAC,GAAG,MAAM,EAAE,KAAK,aAAajB,EAAE,KAAK,MAAMZ,EAAE,KAAK,SAAS,EAAE,KAAK,QAAQK,EAAE,KAAK,uBAAuB,CAAC,EAAE,KAAK,mBAAmB,CAAC,EAAE,KAAK,qBAAqB,CAAC,EAAE,KAAK,SAASwB,EAAExB,GAAG,OAAO,KAAK,QAAQ2qB,EAAE,QAAQ,QAAQ,GAAGpqB,GAAG,KAAK,MAAM,IAAI,MAAM,oDAAoD,CAAC,CAAC,eAAeA,EAAE,EAAE,MAAM,QAAQA,CAAC,EAAEA,EAAE,IAAIR,GAAGA,EAAE,IAAI,EAAE,OAAO,KAAKQ,CAAC,GAAG,QAAQ,CAACR,EAAEC,IAAI,CAAC,IAAIwB,EAAEmpB,EAAE,oBAAoB5qB,GAAG0B,EAAE,GAAG,KAAK,uBAAuBzB,IAAI,OAAO,KAAK,uBAAuBA,GAAG,CAAC,aAAa,GAAGD,QAAQ,SAASmzB,EAAE,IAAI2N,GAAGr/B,CAAC,EAAE,SAASC,CAAC,CAAC,CAAC,GAAG,KAAK,mBAAmBzB,IAAI,OAAO,KAAK,mBAAmBA,GAAG,CAAC,aAAa,GAAGD,aAAa,SAASmzB,EAAE,IAAI2N,GAAGr/B,CAAC,EAAE,SAASC,CAAC,CAAC,CAAC,GAAG,KAAK,qBAAqBzB,IAAI,MAAM,KAAK,WAAW,KAAK,qBAAqBA,GAAG,CAAC,aAAa,GAAGD,OAAO,SAASmzB,EAAE,IAAI2N,GAAGr/B,CAAC,EAAE,SAASC,CAAC,CAAC,CAAC,GAAG,IAAIC,EAAE,MAAM,QAAQnB,CAAC,EAAEA,EAAEP,GAAG,OAAOO,EAAER,GAAG,GAAG2B,GAAG,KAAK,OAAO,IAAIC,EAAE,KAAK,uBAAuB3B,GAAG,SAAS4B,EAAE,KAAK,mBAAmB5B,GAAG,SAASkzB,EAAE,IAAI,CAAC,IAAI7wB,EAAEk2B,EAAEM,EAAEl3B,EAAE,KAAK,KAAK,EAAEk3B,EAAE6J,GAAGhhC,CAAC,EAAE,EAAE,KAAK,KAAK,CAAC,EAAE,GAAG,KAAK,SAAS,CAAC,IAAIY,EAAE,KAAK,qBAAqBtC,GAAG,SAASuC,EAAEg2B,EAAEM,EAAEv2B,EAAE,KAAK,KAAK,EAAEu2B,EAAEn3B,EAAE,EAAE,KAAK,KAAK,CAAC,EAAEc,EAAEm2B,GAAGE,EAAEn3B,EAAE,KAAK,YAAY,EAAE8gC,GAAG2D,GAAG9jC,EAAEk2B,EAAEmK,GAAGngC,CAAC,EAAE,KAAK,OAAO,CAAC,CAAC,CAAC,EAAEE,EAAE81B,EAAEM,EAAEj3B,EAAE,KAAK,QAAQ,EAAEY,CAAC,EAAEb,EAAE,OAAOU,CAAC,EAAEC,EAAE,OAAOC,CAAC,EAAEX,EAAE,OAAOa,CAAC,EAAE,IAAI,EAAE0jC,GAAG3kC,EAAEiB,CAAC,EAAEjB,EAAE,OAAO,CAAC,CAAC,KAAK,CAAC,IAAIc,EAAEi2B,EAAEM,EAAEl3B,EAAE,KAAK,KAAK,EAAEk3B,EAAE6J,GAAGhhC,CAAC,EAAE,EAAE,KAAK,KAAK,CAAC,EAAEa,EAAEg2B,EAAEM,EAAEj3B,EAAE,KAAK,QAAQ,EAAE+2B,GAAGE,EAAEn3B,EAAE,KAAK,YAAY,EAAE8gC,GAAGjK,EAAEj2B,EAAE,KAAK,OAAO,CAAC,CAAC,CAAC,EAAEX,EAAE,OAAOW,CAAC,EAAEV,EAAE,OAAOW,CAAC,EAAE,IAAIC,EAAE2jC,GAAG3kC,EAAEe,CAAC,EAAEf,EAAE,OAAOgB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,oBAAoB,CAAC,CAAC,SAAS,CAAC,KAAK,wBAAwB,MAAM2wB,GAAG,KAAK,uBAAuB,IAAI5yB,GAAGA,EAAE,QAAQ,CAAC,EAAE,KAAK,sBAAsB,MAAM,KAAK,UAAU4yB,GAAG,KAAK,qBAAqB,IAAI5yB,GAAGA,EAAE,QAAQ,CAAC,EAAE,KAAK,oBAAoB,MAAM4yB,GAAG,KAAK,mBAAmB,IAAI5yB,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,MAAM,YAAY,CAAC,IAAIA,EAAE,CAAC,GAAG,KAAK,uBAAuB,GAAG,KAAK,kBAAkB,EAAE,OAAO,KAAK,UAAUA,EAAE,KAAK,GAAG,KAAK,oBAAoB,EAAE,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAOA,EAAE,IAAIZ,IAAI,CAAC,KAAKA,EAAE,aAAa,OAAOA,EAAE,QAAQ,EAAE,CAAC,CAAC,CAAC,MAAM,WAAWY,EAAE,CAACA,EAAE,MAAM,KAAK,kBAAkBA,CAAC,EAAE,IAAIZ,EAAE,KAAK,SAASY,EAAE,OAAO,EAAEA,EAAE,OAAO,EAAE,EAAE,GAAG,KAAK,uBAAuBA,EAAE,MAAM,EAAEZ,CAAC,EAAE,IAAIK,IAAI,CAAC,aAAaA,EAAE,KAAK,SAASA,EAAE,OAAO,SAAS,CAAC,CAAC,EAAE,EAAE,KAAK,mBAAmBO,EAAE,MAAMZ,EAAEA,EAAE,CAAC,EAAE,IAAIK,IAAI,CAAC,aAAaA,EAAE,KAAK,SAASA,EAAE,OAAO,SAAS,CAAC,CAAC,EAAE,EAAE,KAAK,WAAW,KAAK,qBAAqBO,EAAE,MAAMZ,EAAE,EAAEA,EAAE,CAAC,EAAE,IAAIK,IAAI,CAAC,aAAaA,EAAE,KAAK,SAASA,EAAE,OAAO,SAAS,CAAC,CAAC,EAAE,EAAE,CAAC,WAAW,CAAC,MAAM,CAAC,aAAa,KAAK,aAAa,MAAM,KAAK,MAAM,SAAS,KAAK,SAAS,QAAQ,KAAK,QAAQ,SAAS,KAAK,QAAQ,CAAC,CAAC,OAAO,WAAWO,EAAEZ,EAAE,CAAC,OAAO,IAAIY,EAAEZ,EAAE,aAAaA,EAAE,MAAMA,EAAE,SAASA,EAAE,QAAQA,EAAE,QAAQ,CAAC,CAAC,EAAEi6C,GAAG,UAAU,UAAUviB,GAAGuiB,EAAE,EAAE,IAAIC,GAAG,KAAK,CAAC,OAAO,IAAIt5C,EAAE,CAAC,OAAO,IAAIm5C,GAAGn5C,CAAC,CAAC,CAAC,OAAO,SAASA,EAAEZ,EAAE,EAAE,GAAG,CAAC,OAAO,IAAIg6C,GAAGp5C,EAAEZ,EAAE,CAAC,CAAC,CAAC,OAAO,QAAQY,EAAEZ,EAAE,GAAG,EAAE,EAAEK,EAAE,KAAKwB,EAAE,GAAG,CAAC,OAAO,IAAIo4C,GAAGr5C,EAAEZ,EAAE,EAAEK,EAAEwB,CAAC,CAAC,CAAC,OAAO,KAAKjB,EAAE,KAAKZ,EAAE,GAAG,EAAE,KAAKK,EAAE,KAAK,CAAC,OAAO,IAAIw5C,GAAGj5C,EAAEZ,EAAE,EAAEK,CAAC,CAAC,CAAC,OAAO,SAASO,EAAE,KAAKZ,EAAE,IAAI,EAAE,KAAK,CAAC,OAAO,IAAI25C,GAAG/4C,EAAEZ,EAAE,CAAC,CAAC,CAAC,OAAO,OAAOY,EAAE,KAAKZ,EAAE,GAAG,EAAE,KAAKK,EAAE,KAAKwB,EAAE,EAAE,CAAC,OAAO,IAAIi4C,GAAGl5C,EAAEZ,EAAE,EAAEK,EAAEwB,CAAC,CAAC,CAAC,OAAO,QAAQjB,EAAEZ,EAAE,GAAG,CAAC,OAAO,IAAI45C,GAAGh5C,EAAEZ,CAAC,CAAC,CAAC,EAAMm6C,GAAG,CAAC,IAAID,GAAG,IAAI,SAASA,GAAG,SAAS,SAASA,GAAG,SAAS,QAAQA,GAAG,QAAQ,QAAQA,GAAG,QAAQ,OAAOA,GAAG,OAAO,KAAKA,GAAG,IAAI,EAAME,IAAI,IAAI,OAAO,uBAAuB,YAAY,sBAAsB,OAAO,cAAc,YAAY,aAAat6C,GAAGA,EAAE,GAAG,EAAE,SAASu6C,IAAI,CAAC,OAAO,IAAI,QAAQv6C,GAAGs6C,GAAG,IAAIt6C,EAAE,CAAC,CAAC,CAAC,CAAC,IAAIw6C,EAAE,CAAC,EAAEp6C,GAAGo6C,EAAE,CAAC,OAAO,IAAIC,GAAG,OAAO,IAAIC,GAAG,OAAO,IAAIC,GAAG,OAAO,IAAIC,GAAG,OAAO,IAAIC,GAAG,MAAM,IAAIC,GAAG,sBAAsB,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,WAAW,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,gBAAgB,IAAIjI,GAAG,2BAA2B,IAAIje,GAAG,2BAA2B,IAAImN,GAAG,uBAAuB,IAAIgZ,GAAG,mBAAmB,IAAIC,GAAG,qBAAqB,IAAIrZ,GAAG,gBAAgB,IAAI9L,GAAG,oBAAoB,IAAIolB,GAAG,0BAA0B,IAAIrf,GAAG,iBAAiB,IAAIgG,GAAG,kCAAkC,IAAIsZ,GAAG,qBAAqB,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,kBAAkB,IAAIvgB,GAAG,kBAAkB,IAAIK,GAAG,kBAAkB,IAAIK,GAAG,sBAAsB,IAAIZ,GAAG,yBAAyB,IAAI0gB,GAAG,0BAA0B,IAAIxZ,GAAG,gBAAgB,IAAIyZ,GAAG,kBAAkB,IAAIxgB,GAAG,kBAAkB,IAAIE,GAAG,wBAAwB,IAAIJ,GAAG,qBAAqB,IAAI2gB,GAAG,+BAA+B,IAAI5f,GAAG,qBAAqB,IAAImG,GAAG,SAAS,IAAI0Z,GAAG,UAAU,IAAIC,GAAG,uBAAuB,IAAIC,GAAG,uBAAuB,IAAIC,GAAG,mBAAmB,IAAI3Z,GAAG,iBAAiB,IAAInN,GAAG,oBAAoB,IAAI+mB,GAAG,qBAAqB,IAAIC,GAAG,qBAAqB,IAAIC,GAAG,qBAAqB,IAAIlJ,GAAG,qBAAqB,IAAID,GAAG,eAAe,IAAIoJ,GAAG,iBAAiB,IAAI7Z,GAAG,YAAY,IAAI8Z,GAAG,cAAc,IAAIC,GAAG,iBAAiB,IAAInnB,GAAG,YAAY,IAAIonB,GAAG,oBAAoB,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,aAAa,IAAIC,GAAG,gDAAgD,IAAIC,GAAG,gDAAgD,IAAIC,GAAG,kDAAkD,IAAIC,GAAG,qDAAqD,IAAIC,GAAG,gDAAgD,IAAIC,GAAG,gDAAgD,IAAIC,GAAG,yDAAyD,IAAIC,GAAG,8CAA8C,IAAIC,GAAG,uDAAuD,IAAIC,GAAG,wDAAwD,IAAIC,GAAG,6DAA6D,IAAIC,GAAG,yDAAyD,IAAIC,GAAG,uBAAuB,IAAIjb,GAAG,sBAAsB,IAAIkb,GAAG,IAAI,IAAIr3B,GAAG,uBAAuB,IAAIs3B,GAAG,mBAAmB,IAAIznB,GAAG,iBAAiB,IAAI0nB,GAAG,aAAa,IAAIC,GAAG,WAAW,IAAIxK,GAAG,WAAW,IAAI9c,GAAG,uBAAuB,IAAIunB,GAAG,kBAAkB,IAAI7hB,GAAG,WAAW,IAAInR,GAAG,0BAA0B,IAAIizB,GAAG,cAAc,IAAI1nB,GAAG,oBAAoB,IAAIC,GAAG,KAAK,IAAIlQ,EAAE,CAAC,EAAE,SAASk1B,GAAGn7C,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,GAAG,OAAOA,EAAE,QAAQ,CAACO,EAAE,IAAI,CAACuX,EAAEvX,EAAE,SAASL,EAAE,IAAI,kBAAkBA,uBAAuB,gDAAgDA,IAAI,CAAC,CAAC,EAAE4X,EAAE,GAAG,GAAG,EAAE5X,EAAE,IAAI,kBAAkBA,kCAAkCA,EAAE,IAAI,EAAE,IAAII,EAAEN,EAAE,GAAGA,EAAE,QAAQ,CAACO,EAAE,IAAI,CAAC,QAAQ,EAAE,EAAE,EAAEL,EAAE,IAAI4X,EAAE,IAAI,GAAGvX,EAAE,KAAKD,EAAE,GAAG,IAAI,kBAAkBJ,wBAAwB,OAAOK,4CAA4CD,sCAAsC,IAAI,CAAC,CAAC,CAAC,CAAC,SAASo7C,GAAG17C,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,GAAG,MAAM,EAAE,QAAQM,EAAE,EAAEA,EAAEN,EAAE,OAAOM,IAAIJ,EAAE,IAAIF,EAAEM,GAAG,GAAG,OAAOJ,CAAC,CAAC,IAAI86C,IAAI,SAASh7C,EAAE,CAACA,EAAEA,EAAE,eAAe,GAAG,iBAAiBA,EAAEA,EAAE,aAAa,GAAG,eAAeA,EAAEA,EAAE,YAAY,GAAG,cAAcA,EAAEA,EAAE,WAAW,GAAG,aAAaA,EAAEA,EAAE,WAAW,GAAG,aAAaA,EAAEA,EAAE,WAAW,GAAG,YAAY,GAAGg7C,KAAKA,GAAG,CAAC,EAAE,EAAE,SAASM,GAAGt7C,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,IAAI,MAAM,GAAGJ,GAAG,MAAM,GAAG,KAAK,OAAOI,EAAE,GAAG,GAAG,KAAK,KAAKA,EAAE,OAAON,EAAEE,EAAE,QAAQI,EAAE,KAAK,EAAE,OAAOA,EAAE,EAAE,MAAM,EAAE,GAAGJ,GAAG,KAAK,OAAOI,EAAE,GAAGN,EAAEE,EAAE,SAASI,EAAE,OAAO,MAAM,IAAI,MAAM,4BAA4B,uCAAuCN,EAAEE,EAAE,4BAA4BI,EAAE,QAAQ,EAAE,QAAQC,EAAE,EAAEA,EAAEL,EAAE,OAAO,EAAEK,EAAE,CAAC,IAAI,EAAEL,EAAEK,GAAG,EAAED,EAAEA,EAAE,OAAOJ,EAAE,OAAOK,GAAG0B,EAAE3B,EAAE,GAAG,GAAG,GAAG,EAAE,GAAG2B,GAAG,GAAG,GAAGA,IAAI,EAAE,MAAM,IAAI,MAAM,4BAA4B,sCAAsC1B,EAAEP,QAAQ,eAAeO,EAAEP,QAAQiC,GAAG,OAAO3B,EAAE,GAAG,CAAC,CAAC,OAAOA,CAAC,CAAC,SAASk8C,GAAGx8C,EAAE,CAAC,IAAI,EAAE,CAAC,eAAeg7C,GAAG,eAAe,aAAaA,GAAG,aAAa,YAAYA,GAAG,YAAY,WAAWA,GAAG,WAAW,WAAWA,GAAG,WAAW,WAAWA,GAAG,UAAU,EAAE96C,EAAE,CAAC,EAAE,QAAQI,KAAKN,EAAE,GAAGM,KAAK,EAAEJ,EAAE,KAAK,EAAEI,EAAE,MAAO,OAAM,OAAOJ,CAAC,CAAC,SAASm8C,GAAGr8C,EAAE,CAAC,OAAOA,EAAE,SAAS,EAAE,EAAEA,EAAE,KAAKg7C,GAAG,eAAeh7C,EAAE,OAAO,EAAEA,EAAE,MAAM,CAAC,SAAS49C,GAAG59C,EAAE,EAAE,CAAC,GAAGA,GAAG,MAAM,GAAG,KAAK,OAAO,IAAIE,EAAEF,EAAE,OAAOM,EAAE,EAAE,OAAO,GAAGJ,GAAGI,EAAE,MAAM,IAAI,MAAM,sBAAsBN,wCAAwC,4CAA4CE,6DAA6DI,IAAI,EAAE,QAAQC,EAAE,EAAEA,EAAE,KAAK,IAAIL,EAAEI,EAAE,CAAC,EAAE,EAAEC,EAAE,CAAC,IAAI,EAAEP,EAAEO,GAAG,EAAE,EAAEA,EAAE,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,IAAI,GAAG,IAAI,EAAE,MAAM,IAAI,MAAM,sBAAsBP,+CAA+C,0CAA0CO,EAAEP,EAAE,aAAa,8CAA8CO,EAAEP,EAAE,aAAa,GAAG,CAAC,CAAC,CAAC,IAAI+6C,GAAG,GAAG,SAASU,GAAGz7C,EAAE,CAAC,OAAOA,GAAG+6C,GAAG/6C,EAAE2Z,GAAG3Z,EAAE,KAAK,MAAM,KAAK,KAAKA,CAAC,CAAC,CAAC,CAAC,CAAC,SAASm8C,GAAGn8C,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEJ,GAAG,OAAOF,GAAG,SAASA,EAAEA,EAAE,IAAIO,EAAE,GAAG,OAAOP,GAAG,SAASA,EAAEA,EAAE,IAAI,MAAM,CAACM,EAAEC,CAAC,CAAC,CAAC,SAAS+7C,GAAGt8C,EAAE,EAAEE,EAAEI,EAAE,GAAG,CAAC,IAAIC,EAAE,CAAC,EAAE,GAAGD,EAAEC,EAAEA,EAAE,OAAO,EAAE,MAAM,CAAC,CAAC,EAAEA,EAAE,KAAKP,EAAE,GAAGE,CAAC,EAAEK,EAAEA,EAAE,OAAOP,EAAE,MAAM,CAAC,CAAC,MAAM,CAACO,EAAEA,EAAE,OAAOP,EAAE,EAAE,EAAE,IAAI,EAAE,EAAE,OAAO,QAAQ,EAAE,EAAE,EAAE,EAAE,EAAE,EAAEO,EAAEA,EAAE,OAAO,CAACP,EAAE,EAAE,GAAG,EAAE,GAAG,EAAE,EAAE,CAAC,EAAEO,EAAEA,EAAE,OAAOP,EAAE,MAAM,EAAE,CAAC,CAAC,CAAC,CAAC,OAAOO,CAAC,CAAC,SAAS67C,GAAGp8C,EAAE,EAAEE,EAAE,GAAG,CAAC,IAAII,EAAE,CAAC,EAAE,GAAGJ,EAAE,CAACI,EAAE,KAAK,CAAC,EAAE,QAAQC,EAAE,EAAE,EAAEA,EAAEP,EAAE,EAAEO,EAAEA,GAAG,EAAE,GAAGD,EAAE,KAAKC,CAAC,EAAED,EAAE,KAAKC,GAAG,EAAE,EAAE,GAAGD,EAAE,KAAKC,CAAC,CAAC,KAAK,CAAC,IAAIA,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEP,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,GAAG,EAAE,IAAI,EAAE,EAAE,KAAK,CAAC,EAAEO,EAAE,KAAK,CAAC,EAAED,EAAE,KAAK,GAAGC,CAAC,EAAED,EAAE,KAAK,CAAC,EAAEA,EAAE,KAAK,GAAG,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,SAASi8C,GAAGv8C,EAAE,EAAEE,EAAEI,EAAE,GAAG,CAAC,IAAIC,EAAE,CAAC,EAAED,EAAEC,EAAE,KAAKP,EAAE,GAAGE,CAAC,EAAEK,EAAE,KAAKP,EAAE,GAAGE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEF,EAAE,OAAO,EAAE,EAAE,GAAG,EAAE,OAAOM,EAAEC,EAAE,KAAK,EAAE,EAAE,GAAGP,EAAE,EAAE,EAAEO,EAAE,KAAKP,EAAE,GAAG,EAAE,EAAE,EAAE,EAAEO,EAAE,KAAKP,EAAE,EAAE,EAAE,OAAOO,CAAC,CAAC,SAASk8C,GAAGz8C,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAEJ,EAAE,KAAKF,EAAEM,GAAG,EAAE,EAAE,OAAOJ,CAAC,CAAC,SAASw8C,GAAG18C,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,MAAM,EAAE,CAAC,EAAE,QAAQO,EAAE,EAAEA,EAAEL,EAAE,EAAEK,EAAED,EAAE,KAAKN,EAAEO,EAAE,GAAG,EAAEA,GAAG,GAAG,EAAEA,GAAG,EAAE,EAAE,OAAOD,CAAC,CAAC,IAAI46C,GAAG,mBAAmBD,GAAG,mBAAuBH,GAAG,SAASL,GAAG,WAAWC,GAAG,YAAYC,GAAG,YAAYC,GAAG,aAAaC,GAAG,YAAY,SAAS2C,GAAGx9C,EAAE,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,MAAM,IAAI,MAAM,gEAAgEA,EAAE,iBAAiB,EAAE,SAAS,EAAE,IAAIE,EAAE,IAAI,aAAaF,EAAE,OAAO,CAAC,EAAE,QAAQM,EAAE,EAAEA,EAAEJ,EAAE,OAAOI,GAAG,EAAEJ,EAAEI,GAAGN,EAAEM,EAAE,GAAGJ,EAAEI,EAAE,GAAG,EAAEA,EAAE,GAAG,OAAOJ,CAAC,CAAC,SAASy9C,GAAG39C,EAAE,CAAC,IAAI,EAAE,IAAI,aAAaA,EAAE,OAAO,CAAC,EAAEE,EAAE,IAAI,aAAaF,EAAE,OAAO,CAAC,EAAE,QAAQM,EAAE,EAAEA,EAAEN,EAAE,OAAOM,GAAG,EAAE,EAAEA,EAAE,GAAGN,EAAEM,GAAGJ,EAAEI,EAAE,GAAGN,EAAEM,EAAE,GAAG,MAAM,CAAC,KAAK,EAAE,KAAKJ,CAAC,CAAC,CAAC,SAASq7C,GAAGv7C,EAAE,CAAC,IAAI,EAAE,KAAK,KAAKA,EAAE,OAAO,CAAC,EAAEE,EAAE,IAAI,aAAa,CAAC,EAAEI,EAAE,IAAI,aAAa,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEP,EAAE,OAAOO,GAAG,EAAEL,EAAE,KAAK,MAAMK,EAAE,CAAC,GAAGP,EAAEO,GAAGD,EAAE,KAAK,MAAMC,EAAE,CAAC,GAAGP,EAAEO,EAAE,GAAG,MAAM,CAAC,KAAKL,EAAE,KAAKI,CAAC,CAAC,CAAC,SAASk7C,GAAGx7C,EAAE,CAAC,IAAI,EAAE,KAAK,MAAMA,EAAE,OAAO,CAAC,EAAEE,EAAE,IAAI,aAAa,CAAC,EAAEI,EAAE,IAAI,aAAa,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEP,EAAE,OAAOO,GAAG,EAAEL,EAAE,KAAK,MAAMK,EAAE,CAAC,GAAGP,EAAEO,GAAGD,EAAE,KAAK,MAAMC,EAAE,CAAC,GAAGP,EAAEO,EAAE,GAAG,MAAM,CAAC,KAAKL,EAAE,KAAKI,CAAC,CAAC,CAAC,SAAS07C,GAAGh8C,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,EAAE,GAAGM,EAAEN,EAAE,EAAE,EAAE,GAAG,MAAM,CAAC,KAAKE,EAAE,KAAKI,CAAC,CAAC,CAAC,SAAS86C,GAAGp7C,EAAE,EAAEE,EAAEI,EAAE,CAACN,EAAEM,EAAE,GAAG,EAAEN,EAAEM,EAAE,EAAE,GAAGJ,CAAC,CAAC,SAAS27C,GAAG77C,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,aAAaF,EAAE,CAAC,EAAEM,EAAE,IAAI,aAAaN,EAAE,CAAC,EAAE,QAAQO,EAAE,EAAEA,EAAE,KAAK,KAAKP,EAAE,CAAC,EAAEO,IAAI,CAAC,IAAI,GAAG,EAAE,EAAE,IAAI,KAAK,IAAIA,EAAEP,GAAGE,EAAEK,GAAG,KAAK,IAAI,CAAC,EAAED,EAAEC,GAAG,KAAK,IAAI,CAAC,CAAC,CAAC,MAAM,CAAC,KAAKL,EAAE,KAAKI,CAAC,CAAC,CAAC,SAASs7C,GAAG57C,EAAE,EAAEE,EAAE,CAAC,IAAII,GAAGJ,EAAE,EAAE,IAAI,KAAK,IAAIF,EAAE,GAAGO,EAAE,KAAK,IAAID,CAAC,EAAE,EAAE,KAAK,IAAIA,CAAC,EAAE,MAAM,CAAC,KAAKC,EAAE,KAAK,CAAC,CAAC,CAAC,IAAIs9C,GAAG,KAAKC,GAAG,MAAMC,GAAG,IAAIC,GAAG,MAAM,SAASrC,GAAG37C,EAAE,EAAE,CAACA,EAAEA,EAAE,QAAQ,MAAM,EAAE,EAAE,IAAIE,GAAGF,EAAE,OAAOA,EAAE,QAAQ89C,GAAG,EAAE,EAAE,QAAQD,GAAG,OAAO,GAAG39C,EAAE,EAAE,MAAM,IAAI,MAAM,+CAA+C,EAAE,GAAGA,EAAE,EAAE,MAAM,IAAI,MAAM,6CAA6C29C,OAAO,EAAE,GAAG,CAACv9C,EAAEC,CAAC,EAAEP,EAAE,MAAM69C,EAAE,EAAE/lC,EAAExX,EAAE,QAAQ09C,EAAE,IAAI,GAAG,IAAI,2BAA2BA,4BAA4B,EAAE,IAAI,EAAE19C,EAAE,MAAMy9C,EAAE,EAAE,EAAE,EAAE,OAAO,GAAG,IAAI,EAAE,MAAM,IAAI,MAAM,YAAY,6BAA6B,GAAG,EAAE,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,+DAA+D,EAAE,IAAI97C,EAAE,CAAC,EAAE,QAAQa,EAAE,EAAEA,EAAEvC,EAAE,OAAO,EAAEuC,EAAE,CAAC,IAAIC,EAAExC,EAAEuC,GAAG,GAAG,CAAC,EAAE,KAAKE,GAAGA,EAAE,QAAQD,CAAC,IAAI,EAAE,EAAE,MAAM,IAAI,MAAM,uCAAuCA,wCAAwC,EAAEd,EAAE,QAAQc,CAAC,IAAI,IAAId,EAAE,KAAKc,CAAC,CAAC,CAAC,QAAQD,EAAE,EAAEA,EAAExC,EAAE,OAAO,EAAEwC,EAAE,CAAC,IAAIC,EAAEzC,EAAEwC,GAAGb,EAAE,QAAQc,CAAC,IAAI,IAAIA,IAAIg7C,IAAI97C,EAAE,KAAKc,CAAC,CAAC,CAAC,IAAIb,EAAE,IAAI,MAAM,EAAE,MAAM,EAAE,QAAQY,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,GAAG,IAAI,IAAI,EAAEA,GAAG,MAAM,EAAE,CAAC,EAAE,OAAO,EAAEA,GAAG,OAAO,MAAM,IAAI,MAAM,2CAA2C,EAAEA,iEAAiE,EAAEZ,EAAEY,GAAG,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAED,GAAG,OAAO,EAAEC,EAAEb,EAAEY,GAAG,KAAKb,EAAE,QAAQ,EAAEa,GAAGC,EAAE,CAAC,CAAC,CAAC,IAAIZ,EAAEF,EAAE,OAAOW,EAAErC,EAAE,OAAOsC,EAAE,CAAC,EAAE,QAAQC,EAAEF,EAAEE,EAAEX,EAAE,EAAEW,EAAED,EAAE,KAAKC,CAAC,EAAE,MAAM,CAAC,QAAQb,EAAE,WAAWY,EAAE,OAAOX,CAAC,CAAC,CAAC,SAASg6C,GAAGl8C,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,MAAMF,CAAC,EAAEE,EAAE,KAAK,EAAE,EAAE,QAAQK,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAEL,EAAE,EAAEK,IAAIA,EAAE,IAAID,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEP,EAAE,EAAEO,EAAEL,EAAEK,KAAK,IAAID,EAAE,KAAKC,CAAC,EAAE,OAAOL,EAAEA,EAAE,OAAOK,GAAGA,IAAI,EAAE,EAAE,CAAC,mBAAmBL,EAAE,WAAWI,CAAC,CAAC,CAAC,SAAS+6C,GAAGr7C,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,IAAI,MAAMN,CAAC,EAAE,QAAQO,EAAE,EAAEA,EAAEL,EAAE,OAAO,EAAEK,EAAE,CAAC,IAAI,EAAEL,EAAEK,GAAG,MAAM,QAAQ,EAAE,EAAE,EAAE,EAAEA,GAAG,OAAO,EAAE,EAAED,EAAE,EAAEC,GAAG,MAAM,OAAOD,EAAE,EAAEC,GAAG,IAAI,EAAE,GAAGuX,EAAExX,EAAE,EAAEC,GAAG,MAAM,EAAE,GAAG,IAAI,sBAAsBD,EAAE,EAAEC,GAAG,eAAe,qBAAqB,KAAK,UAAU,CAAC,wBAAwB,EAAE,IAAI,CAAC,CAAC,CAAC,SAAS07C,GAAGj8C,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAEM,EAAE,CAAC,EAAEC,EAAE,EAAEP,EAAE,SAAS,GAAGE,EAAE,KAAK,EAAE,EAAEK,EAAEP,EAAE,OAAO,EAAE,QAAQ,EAAE,EAAE,EAAEO,EAAE,EAAE,EAAED,EAAE,KAAK,CAAC,CAAC,EAAE,IAAI,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEJ,EAAE,OAAO,EAAE,EAAE,CAAC,IAAI+B,EAAE/B,EAAE,GAAGgC,EAAE+7C,GAAG,EAAEh8C,CAAC,EAAE,QAAQE,KAAKD,EAAE,EAAE,QAAQC,CAAC,IAAI,KAAK7B,EAAE,GAAG,KAAK6B,CAAC,EAAE,EAAE,KAAKA,CAAC,EAAE,CAAC,MAAM,CAAC,KAAKjC,EAAE,MAAMI,CAAC,CAAC,CAAC,SAASi9C,GAAGv9C,EAAE,CAAC,OAAOA,EAAE,MAAM,CAAC,EAAEE,IAAI,IAAIA,CAAC,CAAC,CAAC,SAAS+9C,GAAGj+C,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAEN,EAAE,OAAO,EAAEM,GAAGN,EAAEM,GAAG,SAAS,GAAGN,EAAEM,GAAG,QAAQ,CAAC,IAAI,IAAI,IAAI,KAAKJ,EAAE,KAAKI,CAAC,EAAE,OAAOJ,CAAC,CAAC,SAASu9C,GAAGz9C,EAAE,EAAEE,EAAE,EAAE,CAAC,IAAII,EAAE,CAAC,EAAE,GAAG,OAAO,GAAG,SAASwX,EAAE9X,EAAE,MAAME,GAAG,IAAI,EAAE,IAAI,+CAA+C,EAAEI,EAAE,IAAI,MAAM,CAAC,EAAE,KAAKN,EAAE,MAAME,GAAG,CAAC,MAAM,CAAC,IAAIK,EAAE,EAAE,OAAO,CAAC,EAAE0B,KAAKA,IAAI,KAAK,GAAG,GAAG,GAAG,CAAC,EAAE6V,EAAEvX,GAAG,EAAE,IAAI,yDAAyD,EAAE,IAAI,EAAE,EAAE,QAAQ,EAAE,EAAE,GAAG,IAAI,GAAG,CAAC,IAAI,EAAE,EAAE,OAAO,CAAC0B,EAAEC,IAAIA,EAAE,EAAED,EAAEC,EAAED,CAAC,EAAE,EAAE,GAAGjC,EAAE,MAAME,GAAG,CAAC,CAAC4X,EAAE9X,EAAE,MAAME,KAAK,EAAE,OAAO,CAAC,EAAE+B,IAAI,EAAEA,CAAC,EAAE,IAAI,6DAA6D,EAAE3B,EAAE,CAAC,CAAC,OAAOA,CAAC,CAAC,SAASq8C,GAAG38C,EAAE,CAAC,MAAM;AAAA,uBACxsxBA,GAAG,CAAC,SAAS48C,GAAG58C,EAAE,EAAE,CAAC,MAAM,WAAWA,qBAAqB,OAAO,CAAC,SAAS68C,GAAG78C,EAAE,EAAEE,EAAE,CAAC,MAAM,WAAWF,qBAAqB,QAAQE,GAAG,CAAC,SAAS+8C,GAAGj9C,EAAE,EAAE,CAAC,MAAM,iDAAiDA,SAAS,GAAG,CAAC,SAASk9C,GAAGl9C,EAAE,EAAE,CAAC,MAAM,QAAQA,+BAA+B,GAAG,CAAC,SAAS88C,IAAI,CAAC,MAAM,+GAA+G,CAAC,SAASE,GAAGh9C,EAAE,EAAE,CAAC,IAAIE,EAAEkY,GAAGpY,CAAC,EAAEM,EAAE8X,GAAG,CAAC,EAAE,MAAM,2CAA2ClY;AAAA,iEAC/cI,iBAAiBN,kBAAkB,GAAG,CAAC,SAAS+8C,GAAG/8C,EAAE,EAAE,CAAC,IAAIE,EAAEkY,GAAGpY,CAAC,EAAEM,EAAE8X,GAAG,CAAC,EAAE,MAAM,qCAAqClY,+CAA+CI,iBAAiBN,iBAAiB,GAAG,CAAC,SAASo9C,IAAI,CAAC,MAAM,0BAA0B,CAAC,SAASC,IAAI,CAAC,MAAM,gCAAgC,CAAC,SAASC,GAAGt9C,EAAE,EAAE,CAAC,MAAM,cAAcA,sBAAsB,sDAAsD,CAAC,SAASm9C,GAAGn9C,EAAE,EAAEE,EAAE,CAAC,MAAM,gBAAgBF,SAAS,sBAAsBE,IAAI,CAAC,IAAIw9C,GAAG,CAAC,EAAEt9C,GAAGs9C,GAAG,CAAC,yBAAyB,IAAIQ,GAAG,gBAAgB,IAAIC,GAAG,8BAA8B,IAAIC,EAAE,CAAC,EAAE,SAASA,GAAGp+C,EAAE,EAAE,CAAC,IAAIE,EAAE,GAAGI,EAAE,IAAIN,GAAG+6C,IAAIz6C,EAAEN,EAAEE,EAAE,IAAII,EAAEqZ,GAAG3Z,EAAE,KAAK,MAAM,KAAK,KAAKA,CAAC,CAAC,CAAC,EAAE,CAACE,GAAGI,EAAE,GAAGA,IAAIN,EAAEE,EAAE,GAAGI,EAAEqZ,GAAG3Z,EAAEM,EAAE,CAAC,EAAE,OAAOA,CAAC,CAAC,SAAS69C,GAAGn+C,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,CAAC,EAAEC,EAAEP,EAAE,OAAO,QAAQ,EAAE,EAAE,EAAEO,EAAE,IAAI,IAAI,EAAED,EAAE,KAAKN,EAAE,EAAE,EAAEM,EAAE,KAAKJ,CAAC,EAAE,OAAOI,CAAC,CAAC,SAAS49C,GAAGl+C,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAE,EAAE,MAAM,OAAO,EAAEP,EAAE,MAAM,OAAO,GAAGM,IAAI,IAAIA,EAAE,CAACC,GAAGD,EAAEC,GAAG,MAAM,IAAI,MAAM,sCAAsCA,MAAMA,eAAeD,GAAG,EAAE,GAAGA,EAAE,IAAIA,GAAGC,GAAGD,EAAE,EAAE,MAAM,IAAI,MAAM,cAAcA;AAAA,MACvkC,KAAK,EAAE,GAAGJ,EAAEI,EAAE,MAAM,IAAI,MAAM,cAAcA,0CAA0CJ,KAAK,EAAE,QAAQ2C,EAAE,EAAEA,EAAEvC,EAAE,EAAEuC,EAAE,GAAG7C,EAAE,MAAM6C,KAAK,EAAE,MAAMA,GAAG,MAAM,IAAI,MAAM,WAAWA,OAAO7C,EAAE,MAAM6C,uCAAuCA,OAAO,EAAE,MAAMA,KAAK,EAAE,IAAI,EAAE7C,EAAE,MAAME,GAAG+B,EAAE,CAAC,EAAEC,EAAE,EAAEC,EAAE,EAAES,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAEvC,EAAE,EAAEuC,EAAEZ,EAAE,KAAKjC,EAAE,MAAM6C,EAAE,EAAEX,GAAGlC,EAAE,MAAM6C,GAAG,QAAQA,EAAEvC,EAAEuC,EAAE3C,EAAE2C,IAAIZ,EAAE,KAAKjC,EAAE,MAAM6C,EAAE,EAAEV,GAAGnC,EAAE,MAAM6C,GAAG,QAAQA,EAAEvC,EAAEuC,EAAEtC,EAAEsC,IAAIZ,EAAE,KAAK,EAAE,MAAMY,EAAE,EAAE,QAAQA,EAAE3C,EAAE,EAAE2C,EAAE,EAAEA,IAAIZ,EAAE,KAAKjC,EAAE,MAAM6C,EAAE,EAAED,GAAG5C,EAAE,MAAM6C,GAAG,MAAM,CAAC,UAAUX,EAAE,UAAUU,EAAE,UAAUT,EAAE,QAAQ,EAAE,YAAYF,CAAC,CAAC,CAAC,SAAS85C,GAAG/7C,EAAE,CAAC,GAAG,CAAC,OAAOA,EAAE,IAAI,GAAGgnB,GAAG,CAAC,CAAC,CAAC,OAAO,EAAN,CAAS,MAAM,IAAI,MAAM,4DAA4D,GAAG,CAAC,CAAC,CAAC,SAAS80B,GAAG97C,EAAE,CAAC,OAAOA,EAAE,IAAI,GAAGinB,GAAG,CAAC,CAAC,CAAC,CAAC,IAAIo3B,GAAG,CAAC,EAAEj+C,GAAGi+C,GAAG,CAAC,wBAAwB,IAAIpJ,GAAG,wBAAwB,IAAIE,GAAG,wBAAwB,IAAIC,GAAG,UAAU,IAAIhE,EAAE,CAAC,EAAE,IAAIkN,GAAG,CAAC,WAAWpjC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAClb,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIk5B,EAAEp5B,EAAE8vC,GAAGrf,GAAEvwB,EAAE,SAAS,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,EAAMq+C,GAAG,CAAC,WAAWpjC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACnb,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAII,EAAE2iC,GAAGxS,GAAEvwB,EAAE,SAAS,CAAC,EAAEK,EAAEwiC,GAAG2D,GAAG7D,GAAG,CAAC,EAAEviC,CAAC,CAAC,EAAE,OAAOm0B,GAAGyE,GAAGl5B,EAAEO,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMi+C,GAAG,CAAC,WAAWpjC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACpb,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAII,EAAEyiC,GAAG2D,GAAGzD,GAAGxS,GAAEvwB,EAAE,SAAS,CAAC,EAAE,CAAC,CAAC,EAAE,OAAOg5B,GAAGl5B,EAAEM,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMm+C,GAAG,CAAC,WAAWpjC,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAACrb,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEI,CAAC,EAAE,EAAEC,EAAEy0B,GAAG90B,EAAE,MAAMI,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI2B,EAAEjC,EAAEkC,EAAEgzB,GAAGh1B,EAAE,MAAMK,CAAC,EAAE,OAAO2B,EAAE,OAAO,IAAID,EAAEkhC,GAAGlhC,EAAEC,CAAC,GAAGg6B,EAAEj6B,EAAE/B,EAAE,KAAK,CAAC,EAAE,EAAE,IAAI,CAAC,IAAI+B,EAAEjC,EAAEkC,EAAEgzB,GAAG50B,EAAE,MAAMC,CAAC,EAAE,OAAO2B,EAAE,OAAO,IAAID,EAAEkhC,GAAGlhC,EAAEC,CAAC,GAAGg6B,EAAEj6B,EAAE3B,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAMo+C,GAAG,CAAC,WAAWpjC,GAAG,cAAc,GAAG,SAAS,CAACtb,EAAE,IAAI,CAAC,IAAIE,EAAE,CAAC,EAAE,OAAO,EAAE,QAAQ,CAACI,EAAEC,IAAI,CAACL,EAAEK,GAAG,IAAIP,EAAE,MAAM,CAAC,CAAC,EAAEE,CAAC,CAAC,EAAMy+C,GAAG,CAAC,WAAWljC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACzb,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIkhC,GAAGlhC,CAAC,CAAC,CAAC,CAAC,EAAM0+C,GAAG,CAAC,WAAWljC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC1b,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIkhC,GAAGlhC,CAAC,CAAC,CAAC,CAAC,EAAM2+C,GAAG,CAAC,WAAWljC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC3b,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIg5B,GAAGl5B,EAAE+iC,GAAG2D,GAAG7D,GAAG,CAAC,EAAEI,GAAGxS,GAAEvwB,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM4+C,GAAG,CAAC,WAAWljC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC5b,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAII,EAAEyiC,GAAGjK,EAAE+J,GAAG,CAAC,EAAEI,GAAGxS,GAAEvwB,EAAE,SAAS,CAAC,CAAC,CAAC,EAAE,OAAOg5B,GAAGl5B,EAAEM,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMy+C,GAAG,CAAC,WAAWhjC,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAAC/b,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEI,CAAC,EAAE,EAAEC,EAAEy0B,GAAG90B,EAAE,MAAMI,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI2B,EAAE62B,EAAEmK,GAAG/iC,CAAC,EAAE+iC,GAAG3iC,CAAC,CAAC,EAAE4B,EAAEk3B,EAAEp5B,EAAEk5B,GAAG54B,EAAE2B,CAAC,CAAC,EAAEE,EAAE+yB,GAAGh1B,EAAE,MAAMK,CAAC,EAAE,OAAO4B,EAAE,OAAO,IAAID,EAAEihC,GAAGjhC,EAAEC,CAAC,GAAG+5B,EAAEh6B,EAAEhC,EAAE,KAAK,CAAC,EAAE,EAAE,IAAI,CAAC,IAAI+B,EAAE62B,EAAEmK,GAAG/iC,CAAC,EAAE+iC,GAAG3iC,CAAC,CAAC,EAAE4B,EAAEuyB,GAAG2E,EAAEp5B,EAAEk5B,GAAGh5B,EAAE+B,CAAC,CAAC,CAAC,EAAEE,EAAE+yB,GAAG50B,EAAE,MAAMC,CAAC,EAAE,OAAO4B,EAAE,OAAO,IAAID,EAAEihC,GAAGjhC,EAAEC,CAAC,GAAG+5B,EAAEh6B,EAAE5B,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAM0+C,GAAG,CAAC,WAAWnjC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC7b,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIg5B,GAAGl5B,EAAE84B,EAAEmK,GAAGxS,GAAEvwB,EAAE,SAAS,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM++C,GAAG,CAAC,WAAWnjC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC9b,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIg5B,GAAGl5B,EAAE0mC,GAAG7D,GAAG,CAAC,EAAEI,GAAGxS,GAAEvwB,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAASg/C,GAAGl/C,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEyrB,EAAEhsB,EAAE,KAAK,eAAe,EAAEiC,EAAE+pB,EAAE,EAAE,QAAQ,eAAe,EAAE9pB,EAAE,EAAEC,EAAEF,EAAEW,EAAE,GAAGX,EAAE,OAAO,IAAIW,EAAE,GAAGV,EAAEg6B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,EAAE/5B,EAAE+5B,EAAEj6B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG6V,EAAE5V,EAAE,OAAO,EAAE,IAAI,0DAA0DA,EAAE,OAAO,EAAE4V,EAAE3V,EAAE,OAAO,EAAE,IAAI,6DAA6DA,EAAE,OAAO,EAAE65B,GAAG,gBAAgBz7B,EAAE,CAAC,EAAE,IAAIsC,EAAE,CAAC,GAAGX,EAAE,MAAMC,CAAC,EAAEW,EAAE,CAAC,WAAW5C,EAAE,QAAQI,EAAE,IAAIC,EAAE,gBAAgB,CAAC,EAAEwC,EAAEmoB,EAAE,UAAU/O,GAAGtZ,EAAEC,CAAC,EAAE,OAAOF,EAAEs5B,EAAEn5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIo8C,GAAGhzB,EAAE,CAAC,eAAe+yB,EAAE,CAAC,EAAME,GAAG,CAAC,WAAWljC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAClc,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,CAAC,EAAE,EAAE,CAAC,WAAWC,EAAE,QAAQ,EAAE,IAAI,EAAE,gBAAgB0B,CAAC,EAAE/B,EAAE,MAAM,CAAC,EAAE,IAAIi/C,GAAGn/C,EAAEM,EAAEC,EAAE,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,EAAE,SAASo9C,GAAGr/C,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAEyrB,EAAEhsB,EAAE,KAAK,aAAa,EAAE,EAAEgsB,EAAE,EAAE,QAAQ,aAAa,EAAElU,EAAE,EAAE,OAAO,EAAE,KAAK,IAAI,kBAAkB,EAAE,oCAAoC,EAAE,OAAO,EAAE,IAAI7V,EAAE,EAAEC,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGF,EAAEi6B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,EAAEh6B,EAAEg6B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAGpkB,EAAE5V,EAAE,OAAO,EAAE,IAAI,wDAAwDA,EAAE,OAAO,EAAE4V,EAAE7V,EAAE,OAAO,EAAE,IAAI,2DAA2DA,EAAE,OAAO,EAAE,IAAIW,EAAE,CAAC,GAAGV,EAAE,MAAMD,CAAC,EAAEY,EAAE,CAAC,WAAW3C,EAAE,QAAQI,EAAE,IAAIC,CAAC,EAAEuC,EAAEooB,EAAE,UAAUjP,GAAGrZ,EAAEC,CAAC,EAAE,OAAOV,EAAE+5B,EAAEp5B,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIw8C,GAAGnzB,EAAE,CAAC,aAAakzB,EAAE,CAAC,EAAME,GAAG,CAAC,WAAWvjC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAChc,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,CAAC,EAAE,EAAE,CAAC,WAAWC,EAAE,QAAQ,EAAE,IAAI,CAAC,EAAEL,EAAE,MAAM,CAAC,EAAE,IAAIo/C,GAAGt/C,EAAEM,EAAEC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,EAAMi/C,GAAG,CAAC,WAAWpjC,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAACpc,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,EAAEC,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,WAAW,CAAC,EAAEL,EAAE,MAAM,CAAC,GAAG,CAAC,EAAE,CAAC,EAAE,IAAI4yB,GAAG9yB,EAAEO,EAAE,GAAG,EAAE,EAAE,EAAE,IAAIuyB,GAAGxyB,EAAEN,EAAE,GAAG,EAAE,CAAC,EAAE,CAAC,GAAG,EAAE,CAAC,EAAE,IAAI8yB,GAAG9yB,EAAEO,EAAE,GAAG,EAAE,EAAE,EAAE,IAAIuyB,GAAG9yB,EAAEM,EAAE,GAAG,EAAE,CAAC,EAAE,GAAG,CAAC,EAAE,CAAC,EAAE,IAAIwyB,GAAGvyB,EAAEP,EAAE,GAAG,EAAE,EAAE,EAAE,IAAI8yB,GAAGxyB,EAAEN,EAAE,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,IAAI8yB,GAAGvyB,EAAEP,EAAE,GAAG,EAAE,EAAE,EAAE,IAAI8yB,GAAG9yB,EAAEM,EAAE,GAAG,EAAE,CAAC,CAAC,CAAC,EAAMm/C,GAAG,CAAC,WAAWpjC,GAAG,SAAS,CAACrc,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,WAAWI,EAAE,MAAMC,CAAC,EAAEL,EAAE,MAAM,CAAC,EAAE,IAAImqC,GAAGrqC,EAAEM,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAMm/C,GAAG,CAAC,WAAWnjC,GAAG,SAAS,CAACvc,EAAE,EAAEE,IAAI,CAAC,IAAII,EAAEJ,EAAEK,EAAED,EAAE,WAAW,EAAEA,EAAE,MAAM,EAAE,MAAM,KAAK,CAAC,EAAE,QAAQ4B,EAAE3B,EAAE,OAAO,EAAE2B,GAAG,EAAEA,IAAI,GAAG3B,EAAE2B,KAAK,EAAEA,GAAG,EAAEA,GAAG,UAAU3B,EAAE2B,KAAK,EAAE,MAAM,IAAI,MAAM,mBAAmB3B,8BAA8B,KAAK,EAAE,IAAI0B,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,EAAEA,GAAG,GAAGD,EAAE,KAAKC,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIihC,GAAGnjC,EAAEiC,EAAE,EAAE,CAAC,CAAC,CAAC,EAAM09C,GAAG,CAAC,WAAWljC,GAAG,SAASzc,IAAI,CAAC,EAAE,IAAIA,EAAE,MAAM,CAAC,EAAE,EAAM4/C,GAAG,CAAC,WAAWljC,GAAG,SAAS1c,IAAI,CAAC,EAAE,IAAIohC,GAAGphC,CAAC,CAAC,EAAE,EAAM6/C,GAAG,CAAC,WAAWljC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC3c,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,CAAC,EAAE,EAAE,CAAC,aAAaC,EAAE,aAAa,CAAC,EAAEL,EAAE,MAAM,CAAC,EAAE,IAAIghC,GAAG8F,GAAGtC,GAAGpkC,EAAEC,CAAC,EAAE+kC,GAAGhlC,EAAE,CAAC,CAAC,EAAEN,EAAEohC,GAAGphC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM8/C,GAAG,CAAC,WAAWjjC,GAAG,aAAa,CAAC,GAAG,EAAE,SAASyhC,GAAG,QAAQ,EAAMyB,GAAG,CAAC,WAAWjjC,GAAG,cAAc,GAAG,SAAS,CAAC9c,EAAE,EAAEE,IAAI,CAAC,IAAII,EAAE,EAAE,IAAI4B,GAAGA,EAAE,KAAK,EAAE,CAAC,KAAK3B,CAAC,EAAEL,EAAE,EAAE2Y,GAAGtY,EAAE,EAAE,GAAG,KAAK,EAAE,GAAG,EAAED,EAAE,IAAI4B,GAAGA,EAAE,EAAE,EAAE,OAAOktC,GAAGpvC,EAAE,EAAE,CAAC,EAAE,IAAIkC,GAAG,IAAIA,CAAC,CAAC,CAAC,EAAM89C,GAAG,CAAC,WAAWjjC,GAAG,aAAa,CAAC,IAAI,QAAQ,EAAE,SAAS,CAAC/c,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,EAAEC,CAAC,EAAE,EAAE,CAAC,UAAU,EAAE,QAAQ,EAAE,IAAI0B,EAAE,WAAWC,CAAC,EAAEhC,EAAE,OAAO4X,EAAEgkB,GAAG,CAAC,EAAE,IAAI,iHAAiH,IAAI,EAAE,CAAC,EAAE,IAAIsD,GAAG9+B,EAAE,MAAMN,EAAEO,EAAE,EAAE0B,EAAEC,CAAC,EAAE,OAAO,IAAI4wC,GAAGxyC,EAAEN,EAAEO,EAAE,MAAM,EAAE0B,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAM+9C,GAAG,CAAC,WAAWhjC,GAAG,aAAa,CAAC,KAAK,QAAQ,EAAE,SAAS,CAACjd,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,EAAEC,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI,EAAE,WAAW0B,EAAE,gBAAgBC,CAAC,EAAEhC,EAAE,MAAM,CAAC,GAAG,IAAI8+B,GAAGh/B,EAAEO,EAAE,EAAE,EAAE0B,EAAE,EAAEC,CAAC,EAAE,OAAO,IAAI4wC,GAAG9yC,EAAEM,EAAEC,EAAE,MAAM,EAAE,EAAE0B,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAE,SAASg+C,GAAGlgD,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAEP,EAAEA,EAAE,OAAO,IAAI,EAAEk8B,EAAEl8B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,IAAI,EAAE,EAAE,EAAE,OAAO,IAAI,EAAEk8B,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAGpkB,EAAE,EAAE,OAAO,EAAE,IAAI,iEAAiE,EAAE,QAAQ,EAAEA,EAAE,EAAE,OAAO,EAAE,IAAI,8DAA8D,EAAE,QAAQ,EAAEA,EAAE5X,EAAE,SAAS,EAAE,IAAI,mEAAmEA,IAAI,EAAE4X,EAAE,EAAE,MAAM,KAAK5X,EAAE,GAAG,IAAI,4CAA4C,EAAE,MAAM,yCAAyCA,EAAE,KAAK,EAAE4X,EAAE,EAAE,MAAM,KAAK5X,EAAE,GAAG,IAAI,0CAA0C,EAAE,MAAM,2CAA2CA,EAAE,MAAM,EAAE,IAAI+B,EAAE,CAAC,EAAE,EAAE,GAAG,CAAC,EAAEC,EAAE,CAAC,QAAQ5B,EAAE,IAAIC,EAAE,YAAYL,CAAC,EAAE,OAAOgrB,EAAE,UAAU/N,GAAGlb,EAAEC,CAAC,CAAC,CAAC,IAAIi+C,GAAGh0B,EAAE,CAAC,sBAAsB+zB,EAAE,CAAC,EAAME,GAAG,CAAC,WAAWljC,GAAG,aAAa,CAAC,IAAI,QAAQ,EAAE,SAAS,CAACld,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,UAAUI,EAAE,QAAQC,EAAE,IAAI,CAAC,EAAEL,EAAE4X,EAAEgkB,GAAGx7B,CAAC,EAAE,IAAI,iHAAiHA,IAAI,EAAE,GAAG,CAAC,EAAE2B,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIy9B,GAAG,EAAE,MAAM1/B,EAAEiC,EAAE1B,EAAE,CAAC,EAAE,OAAO,IAAI4/C,GAAG,EAAEngD,EAAEiC,EAAE,MAAM1B,EAAE,CAAC,CAAC,CAAC,CAAC,EAAM8/C,GAAG,CAAC,WAAWhjC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACrd,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIk5B,EAAE3E,GAAGuZ,GAAGvd,GAAEvwB,EAAE,SAAS,CAAC,CAAC,EAAEF,CAAC,CAAC,CAAC,CAAC,EAAMsgD,GAAG,CAAC,WAAWhjC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACtd,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIk5B,EAAE8U,GAAGzd,GAAEvwB,EAAE,SAAS,CAAC,EAAEF,CAAC,CAAC,CAAC,CAAC,EAAMugD,GAAG,CAAC,WAAW/iC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACxd,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,CAAC,EAAE,EAAE,CAAC,KAAKC,EAAE,UAAU,EAAE,QAAQ,CAAC,EAAEL,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI+B,EAAEmgC,GAAG,CAAC7hC,CAAC,EAAED,EAAE,IAAI,EAAE4B,EAAEk+B,GAAGpgC,EAAEO,EAAE,EAAE,CAAC,CAAC,EAAE,OAAO0B,GAAG,OAAOC,EAAE2yB,GAAG3yB,EAAED,CAAC,GAAGC,CAAC,CAAC,CAAC,CAAC,EAAMs+C,GAAG,CAAC,WAAW5iC,GAAG,aAAa,CAAC,IAAI,QAAQ,EAAE,SAAS,CAAC5d,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,UAAUI,EAAE,QAAQC,EAAE,IAAI,EAAE,gBAAgB,CAAC,EAAEL,EAAE+B,EAAE3B,GAAG,KAAK,CAAC,EAAE,CAAC,EAAEA,EAAEwX,EAAEgkB,GAAG75B,CAAC,EAAE,IAAI,mHAAmHA,IAAI,EAAE,GAAG,CAACC,EAAEC,CAAC,EAAE,EAAE,OAAO2V,EAAE5V,EAAE,OAAO,EAAE,IAAI,kFAAkFA,EAAE,OAAO,EAAE4V,EAAE3V,EAAE,OAAO,EAAE,IAAI,mFAAmFA,EAAE,OAAO,EAAE2V,EAAE5V,EAAE,MAAM,KAAKC,EAAE,MAAM,GAAG,IAAI,mEAAmED,EAAE,MAAM,qDAAqDC,EAAE,MAAM,KAAK,EAAE2V,EAAEikB,GAAGx7B,EAAE0B,CAAC,EAAE,IAAI,6FAA6F1B,oBAAoB0B,KAAK,EAAE+5B,GAAG,kBAAkB,EAAE,CAAC,EAAE,CAAC,EAAE,IAAIuX,GAAGrxC,EAAE,MAAMlC,EAAEmC,EAAE5B,EAAE,EAAE0B,EAAE,CAAC,EAAE,OAAO,IAAIoxC,GAAGnxC,EAAElC,EAAEmC,EAAE,MAAM5B,EAAE,EAAE0B,EAAE,CAAC,CAAC,CAAC,CAAC,EAAMw+C,GAAG,CAAC,WAAWziC,GAAG,aAAa,CAAC,IAAI,QAAQ,EAAE,SAAS,CAAChe,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,EAAEC,CAAC,EAAE,EAAE,EAAE,CAAC,EAAED,EAAE,OAAOC,EAAE,GAAGP,CAAC,EAAE,EAAE,CAAC,EAAEM,EAAE,OAAOC,EAAE,GAAGP,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIkrB,EAAE,UAAUjN,GAAG,EAAE/d,CAAC,EAAE,OAAO,IAAIgrB,EAAE,UAAUhN,GAAG,EAAEhe,CAAC,CAAC,CAAC,CAAC,EAAMwgD,GAAG,CAAC,WAAWriC,GAAG,cAAc,CAAC,EAAE,EAAE,SAAS,CAACre,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAEI,EAAE,CAAC,GAAGN,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIgrB,EAAE,UAAU5M,GAAGhe,CAAC,CAAC,CAAC,CAAC,EAAMqgD,GAAG,CAAC,WAAWpiC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACve,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAEI,EAAE84B,EAAEsK,GAAGjP,GAAGwO,GAAG/iC,CAAC,CAAC,CAAC,EAAE,EAAE,KAAK,KAAK,KAAK,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIk5B,EAAEp5B,EAAEM,CAAC,CAAC,CAAC,CAAC,EAAMsgD,GAAG,CAAC,WAAWniC,GAAG,cAAc,CAAC,EAAE,EAAE,SAAS,CAACze,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIk5B,EAAEp5B,EAAEE,CAAC,CAAC,CAAC,CAAC,EAAM2gD,GAAG,CAAC,WAAWniC,GAAG,aAAa,CAAC,OAAO,EAAE,SAAS,CAAC1e,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,MAAM,IAAIg8B,EAAEl8B,EAAEE,EAAE,KAAK,CAAC,CAAC,CAAC,EAAM4gD,GAAG,CAAC,WAAWniC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC3e,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIk5B,EAAEp5B,EAAE0jC,GAAGxjC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM6gD,GAAG,CAAC,WAAWhiC,GAAG,SAAS/e,IAAI,CAAC,EAAE,IAAIohC,GAAGphC,CAAC,CAAC,EAAE,EAAMghD,GAAG,CAAC,WAAWhiC,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAAChf,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEI,CAAC,EAAE,EAAEC,EAAEy0B,GAAG90B,EAAE,MAAMI,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI2B,EAAEi3B,GAAGl5B,EAAEywB,GAAEnwB,EAAE,SAAS,CAAC,EAAE4B,EAAEgzB,GAAGh1B,EAAE,MAAMK,CAAC,EAAE,OAAO2B,EAAE,OAAO,EAAEg6B,EAAEiH,GAAGlhC,EAAEC,CAAC,EAAEhC,EAAE,KAAK,EAAE+B,CAAC,EAAE,EAAE,IAAI,CAAC,IAAIA,EAAEm3B,EAAEp5B,EAAEywB,GAAEvwB,EAAE,SAAS,CAAC,EAAEgC,EAAEgzB,GAAG50B,EAAE,MAAMC,CAAC,EAAE2B,EAAE,OAAO,IAAID,EAAEi6B,EAAEiH,GAAGlhC,EAAEC,CAAC,EAAE5B,EAAE,KAAK,GAAG,IAAI6B,EAAE8gC,GAAG3iC,CAAC,EAAE,OAAOm0B,GAAGyE,GAAGj3B,EAAEwuB,GAAEtuB,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM8+C,GAAG,CAAC,WAAWhiC,GAAG,aAAa,CAAC,IAAI,OAAO,WAAW,OAAO,EAAE,SAAS,CAACjf,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,gBAAgBI,CAAC,EAAEJ,EAAE,CAACK,EAAE,EAAE,EAAE0B,CAAC,EAAE,EAAEC,EAAED,GAAG,KAAK4gC,GAAG,CAAC,EAAE5gC,EAAEE,EAAE+yB,GAAG,EAAE,MAAM30B,EAAE,KAAK,EAAEqC,EAAE,CAAC,EAAE,GAAG,EAAE,OAAO,EAAE,CAAC,QAAQgC,EAAE,EAAEA,EAAErE,EAAE,MAAM,OAAO,EAAE,EAAEqE,EAAEhC,EAAE,KAAKrC,EAAE,MAAMqE,EAAE,EAAEhC,EAAE,KAAK,CAAC,CAAC,CAAC,IAAIC,EAAE6jC,GAAGnmC,EAAE,CAAC,EAAEuC,EAAEs2B,EAAEp5B,EAAEkC,CAAC,EAAEa,EAAEuqC,GAAGxU,EAAE,EAAE+J,GAAGviC,CAAC,CAAC,CAAC,EAAE0C,EAAEo2B,EAAEA,EAAEA,EAAEr2B,EAAEA,CAAC,EAAEA,CAAC,EAAE8/B,GAAG,GAAG,CAAC,EAAE,MAAM,CAAC,EAAE,IAAI,EAAE,OAAO,EAAE3G,EAAE9C,EAAEA,EAAEp5B,EAAEgkC,GAAG9H,EAAEn5B,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,MAAM,EAAE,CAAC,EAAEH,CAAC,CAAC,EAAEV,CAAC,EAAE3B,EAAE,KAAK,EAAE27B,EAAE9C,EAAEA,EAAEp5B,EAAE+C,CAAC,EAAEb,CAAC,EAAE3B,EAAE,KAAK,EAAE,KAAK,IAAI,CAAC,IAAIqE,EAAEw0B,EAAEA,EAAEr2B,EAAE8/B,GAAG,EAAE,CAAC,EAAE//B,CAAC,EAAE,OAAO,EAAE,OAAO,IAAI8B,EAAEu+B,GAAGv+B,EAAEzC,CAAC,GAAG+5B,EAAEt3B,EAAE,EAAE,KAAK,CAAC,EAAE,SAAS,IAAI,CAAC,IAAIA,EAAEw0B,EAAEA,EAAEp2B,EAAEH,CAAC,EAAEC,CAAC,EAAE,OAAO,EAAE,OAAO,IAAI8B,EAAEu+B,GAAGv+B,EAAEzC,CAAC,GAAG+5B,EAAEt3B,EAAE,EAAE,KAAK,CAAC,EAAE,MAAM,IAAI,CAAC,IAAIA,EAAEw0B,EAAEv2B,EAAEE,CAAC,EAAE8B,EAAEu0B,EAAEp5B,EAAE4E,CAAC,EAAE,OAAO,EAAE,OAAO,IAAIC,EAAEs+B,GAAGt+B,EAAE1C,CAAC,GAAG+5B,EAAEr3B,EAAE,EAAE,KAAK,CAAC,EAAE,OAAO,IAAI,CAAC,IAAID,EAAE5E,EAAE,OAAO,EAAE,OAAO,IAAI4E,EAAEu+B,GAAGv+B,EAAEzC,CAAC,GAAG+5B,EAAEt3B,EAAE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAMs8C,GAAG,CAAC,WAAWhiC,GAAG,aAAa,CAAC,IAAI,SAAS,EAAE,SAAS,CAAClf,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,EAAEC,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAEL,EAAE,EAAE2Y,GAAG,EAAEvY,EAAE,KAAK,EAAE,GAAG,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI4B,EAAE5B,EAAE,MAAM,EAAEC,EAAE,KAAKqC,EAAEV,EAAE,MAAM,EAAE,CAAC,EAAE,EAAEU,EAAE,OAAOE,EAAEZ,EAAE,MAAM,EAAEA,EAAE,MAAM,EAAE,MAAM,CAAC,EAAEa,EAAED,EAAE,OAAOE,EAAEm+C,GAAG,EAAE,CAAC,EAAEj9C,EAAEi9C,GAAG,EAAE,EAAE,EAAE,EAAEp+C,CAAC,EAAEoB,EAAEi9C,GAAG,CAACx+C,EAAE,CAAC,CAAC,EAAEE,CAAC,CAAC,EAAEyE,EAAE20B,EAAEl8B,EAAEmE,CAAC,EAAE,EAAE+3B,EAAE37B,EAAE,CAAC,CAAC,CAAC,EAAEoE,EAAEy8C,GAAG,CAAC,CAAC,CAAC,EAAEp+C,EAAEkB,CAAC,CAAC,EAAEU,EAAEiwB,GAAGttB,EAAE5C,CAAC,EAAEE,EAAEksC,GAAGnsC,EAAE,EAAEtE,EAAE,MAAM,EAAE,EAAEwE,EAAEu9B,GAAG19B,CAAC,EAAE,OAAOE,EAAEgwB,GAAGhwB,EAAEC,CAAC,EAAED,CAAC,EAAE,QAAQ,IAAItE,CAAC,CAAC,CAAC,EAAE,SAAS4gD,GAAGnhD,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQI,EAAEN,EAAEM,EAAE,EAAE,EAAEA,EAAEJ,EAAE,KAAKI,CAAC,EAAE,OAAOJ,CAAC,CAAC,SAASkhD,GAAGphD,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,QAAQI,EAAE,EAAEA,EAAEN,EAAEE,GAAG,OAAO,EAAEI,EAAE,EAAE,KAAKN,EAAEE,GAAGI,EAAE,EAAE,OAAO,CAAC,CAAC,IAAI+gD,GAAG,CAAC,WAAWhiC,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAACrf,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEI,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI8gC,GAAGlhC,CAAC,EAAE,EAAE,IAAIkhC,GAAG9gC,CAAC,CAAC,CAAC,CAAC,EAAMghD,GAAG,CAAC,WAAWhiC,GAAG,SAAStf,IAAI,CAAC,EAAE,IAAIywB,GAAEzwB,EAAE,SAAS,CAAC,EAAE,EAAMuhD,GAAG,CAAC,WAAW9hC,GAAG,SAASzf,IAAI,CAAC,EAAE,IAAIohC,GAAGphC,CAAC,CAAC,EAAE,EAAMwhD,GAAG,CAAC,WAAW9hC,GAAG,SAAS1f,IAAI,CAAC,EAAE,IAAIohC,GAAGphC,CAAC,CAAC,EAAE,EAAMyhD,GAAG,CAAC,WAAW9hC,GAAG,SAAS3f,IAAI,CAAC,EAAE,IAAIohC,GAAGphC,CAAC,CAAC,EAAE,EAAM0hD,GAAG,CAAC,WAAW9hC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC5f,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,CAAC,EAAE,EAAE,CAAC,MAAMC,CAAC,EAAEL,EAAE,EAAEskC,GAAGlkC,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,IAAI4gC,GAAG,EAAElhC,EAAEo5B,EAAEp5B,EAAEO,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMohD,GAAG,CAAC,WAAW1hC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACjgB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIg5B,GAAGl5B,EAAE84B,EAAE54B,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM0hD,GAAG,CAAC,WAAW5hC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAChgB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIg5B,GAAGl5B,EAAEywB,GAAEvwB,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,EAAM2hD,GAAG,CAAC,WAAWvhC,GAAG,aAAa,CAAC,EAAE,cAAc,CAAC,EAAE,EAAE,SAAS,CAACtgB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,CAAC,EAAE,EAAE,CAAC,KAAKC,CAAC,EAAEL,EAAE,MAAM,CAAC,OAAO,IAAI,CAAC,IAAI8B,EAAE0hC,GAAGpjC,CAAC,EAAE,OAAOomC,GAAG1mC,EAAEo5B,EAAE+J,GAAGnjC,EAAEO,EAAE,EAAE,EAAEyB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAAS8/C,GAAG9hD,EAAE,EAAEE,EAAEI,EAAE,EAAEC,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,CAAC,IAAI0B,EAAE,CAAC,EAAEjC,EAAE,EAAE,EAAE,GAAGE,CAAC,EAAEgC,EAAE,CAAC,YAAY5B,EAAE,KAAKC,EAAE,MAAM,EAAE,KAAK,CAAC,EAAE,OAAO2qB,EAAE,UAAUzK,GAAGxe,EAAEC,CAAC,CAAC,CAAC,IAAI6/C,GAAG51B,EAAE,CAAC,oCAAoC21B,EAAE,CAAC,EAAME,GAAG,CAAC,WAAWxhC,GAAG,aAAa,CAAC,GAAG,EAAE,cAAc,CAAC,EAAE,EAAE,SAAS,CAACxgB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,EAAEC,CAAC,EAAE,EAAE,CAAC,YAAY,EAAE,KAAK,EAAE,MAAM0B,EAAE,KAAKC,CAAC,EAAEhC,EAAE,MAAM,CAAC,EAAE,IAAI6hD,GAAGzhD,EAAEC,EAAEP,EAAE,EAAE,EAAEiC,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAE,SAAS+/C,GAAGjiD,EAAE,EAAEE,EAAEI,EAAE,CAAC,OAAO,EAAE,KAAKJ,EAAE,OAAO,EAAEg8B,EAAE,EAAEgG,GAAG,EAAE,MAAM5hC,CAAC,CAAC,GAAGN,EAAE,KAAKE,EAAE,OAAOF,EAAEk8B,EAAEl8B,EAAEkiC,GAAGliC,EAAE,MAAMM,CAAC,CAAC,GAAG,CAAC,EAAE,IAAI84B,EAAEp5B,EAAEywB,GAAEuQ,GAAG9gC,EAAE,CAAC,EAAEF,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,IAAIkiD,GAAG,CAAC,WAAWxhC,GAAG,aAAa,CAAC,GAAG,EAAE,cAAc,CAAC,EAAE,EAAE,SAAS,CAAC1gB,EAAE,EAAEE,IAAI,CAAC,IAAII,EAAEJ,EAAE,CAAC,iBAAiBK,CAAC,EAAED,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,GAAG2B,EAAE4W,GAAGtY,EAAE,EAAE,KAAK,EAAE2B,EAAE+/C,GAAGjiD,EAAE,EAAE,EAAEiC,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIC,EAAE,EAAE,CAAC,CAAC,CAAC,EAAMigD,GAAG,CAAC,WAAWxhC,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAAC3gB,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEI,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI84B,EAAEp5B,EAAEywB,GAAEiU,GAAGxkC,EAAEI,CAAC,EAAE,SAAS,CAAC,EAAE,EAAE,IAAI84B,EAAEp5B,EAAEywB,GAAE2U,GAAGllC,EAAEI,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,EAAE,SAAS8hD,GAAGpiD,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE,CAAC,IAAI0B,EAAE+pB,EAAEhsB,EAAE,KAAK,eAAe,EAAEkC,EAAE8pB,EAAE,EAAE,QAAQ,eAAe,EAAE7pB,EAAE6pB,EAAE9rB,EAAE,SAAS,eAAe,EAAE0C,EAAEX,EAAEY,EAAEX,EAAEY,EAAEX,EAAEY,EAAE,GAAGb,EAAE,OAAO,IAAIa,EAAE,GAAGH,EAAEs5B,EAAEj6B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEY,EAAEq5B,EAAEh6B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEY,EAAEo5B,EAAE/5B,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG2V,EAAElV,EAAE,OAAO,EAAE,IAAI,0DAA0DA,EAAE,OAAO,EAAEkV,EAAEjV,EAAE,OAAO,EAAE,IAAI,6DAA6DA,EAAE,OAAO,EAAEiV,EAAEhV,EAAE,OAAO,EAAE,IAAI,8DAA8DA,EAAE,OAAO,EAAEk5B,GAAG,gBAAgB,EAAE,CAAC,EAAE,IAAIh5B,EAAE,CAAC,GAAGJ,EAAE,MAAMC,EAAE,OAAOC,CAAC,EAAEoB,EAAE,CAAC,WAAW5D,EAAE,QAAQC,EAAE,IAAI,EAAE,gBAAgB,CAAC,EAAE,EAAE2qB,EAAE,UAAUnK,GAAG/d,EAAEkB,CAAC,EAAE,OAAOnB,EAAEm5B,EAAE,EAAE,CAAC,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,EAAE,CAAC,CAAC,IAAImmB,GAAGl2B,EAAE,CAAC,eAAei2B,EAAE,CAAC,EAAME,GAAG,CAAC,WAAWxhC,GAAG,aAAa,CAAC,GAAG,EAAE,cAAc,CAAC,EAAE,EAAE,SAAS,CAAC9gB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,EAAEC,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,CAAC,EAAEhC,EAAE,MAAM,CAAC,EAAE,IAAImiD,GAAGriD,EAAEM,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAE,SAASqgD,GAAGviD,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE,CAAC,IAAI0B,EAAE+pB,EAAEhsB,EAAE,KAAK,aAAa,EAAEkC,EAAE8pB,EAAE,EAAE,QAAQ,aAAa,EAAE7pB,EAAE6pB,EAAE9rB,EAAE,SAAS,aAAa,EAAE4X,EAAE5V,EAAE,OAAOD,EAAE,KAAK,IAAI,kBAAkBC,EAAE,oCAAoCD,EAAE,OAAO,EAAE6V,EAAE7V,EAAE,OAAO,EAAE,IAAI,wDAAwDA,EAAE,OAAO,EAAE6V,EAAE5V,EAAE,OAAO,EAAE,IAAI,2DAA2DA,EAAE,OAAO,EAAE85B,GAAG,cAAc,EAAE,CAAC,EAAE,IAAIp5B,EAAE,CAAC,GAAGX,EAAE,MAAMC,EAAE,OAAOC,CAAC,EAAEU,EAAE,CAAC,WAAWvC,EAAE,QAAQC,EAAE,IAAI,EAAE,gBAAgB,CAAC,EAAE,OAAO2qB,EAAE,UAAUrK,GAAGje,EAAEC,CAAC,CAAC,CAAC,IAAI2/C,GAAGr2B,EAAE,CAAC,aAAao2B,EAAE,CAAC,EAAME,GAAG,CAAC,WAAW7hC,GAAG,aAAa,CAAC,GAAG,EAAE,cAAc,CAAC,EAAE,EAAE,SAAS,CAAC5gB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,EAAEC,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,CAAC,EAAE/B,EAAE,MAAM,CAAC,EAAE,IAAIsiD,GAAGxiD,EAAEM,EAAEC,EAAE,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,EAAMygD,GAAG,CAAC,WAAWzhC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACjhB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,CAAC,EAAE,EAAE,CAAC,KAAKC,CAAC,EAAEL,EAAE,EAAE2Y,GAAGtY,EAAED,EAAE,KAAK,EAAE2B,EAAEggC,GAAG3hC,EAAE,MAAM,CAAC,EAAE,GAAG4B,EAAEkW,GAAGnW,CAAC,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAIW,EAAEtC,EAAE,MAAM,MAAM,EAAE,EAAE,QAAQyC,GAAG,CAACH,EAAEG,GAAG,CAAC,CAAC,EAAE,IAAIF,EAAEq5B,EAAEl8B,EAAE4C,CAAC,EAAE,OAAOs2B,GAAGE,EAAEv2B,EAAEylC,GAAGhoC,EAAE,MAAM,SAAS,CAAC,EAAE4B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMygD,GAAG,CAAC,WAAWzhC,GAAG,aAAa,CAAC,GAAG,EAAE,cAAc,CAAC,EAAE,EAAE,SAAS,CAAClhB,EAAE,EAAEE,IAAI,CAAC,IAAII,EAAEJ,EAAE,CAAC,KAAKK,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE2B,EAAE4W,GAAGtY,EAAE,EAAE,KAAK,EAAE2B,EAAE+/C,GAAGjiD,EAAE,EAAE,EAAEiC,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIC,EAAE,EAAE,CAAC,CAAC,CAAC,EAAM0gD,GAAG,CAAC,WAAWzhC,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAACnhB,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEI,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI84B,EAAEp5B,EAAEywB,GAAE6U,GAAGplC,EAAEI,CAAC,EAAE,SAAS,CAAC,EAAE,EAAE,IAAI84B,EAAEp5B,EAAEywB,GAAE+T,GAAGtkC,EAAEI,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,EAAMuiD,GAAG,CAAC,WAAWzhC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACphB,EAAE,EAAEE,IAAI,CAAC,IAAII,EAAE,EAAE,GAAG,CAAC,SAASC,CAAC,EAAEL,EAAE,EAAEK,EAAE,IAAI,GAAG,EAAE,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIq8B,GAAG58B,EAAE,EAAEM,EAAE,KAAK,CAAC,CAAC,CAAC,EAAMwiD,GAAG,CAAC,WAAWzhC,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAACrhB,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEI,CAAC,EAAE,EAAEC,EAAEy0B,GAAG90B,EAAE,MAAMI,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI2B,EAAEizB,GAAGh1B,EAAE,MAAMK,CAAC,EAAE,OAAO0B,EAAE,OAAO,EAAEi6B,EAAEiH,GAAGnjC,EAAEiC,CAAC,EAAE/B,EAAE,KAAK,EAAEF,CAAC,EAAE,EAAE,IAAI,CAAC,IAAIiC,EAAEm3B,EAAEp5B,EAAEy0B,GAAG2P,GAAGlL,GAAGh5B,EAAEI,CAAC,CAAC,CAAC,CAAC,EAAE4B,EAAEgzB,GAAG50B,EAAE,MAAMC,CAAC,EAAE,OAAO2B,EAAE,OAAO,EAAEg6B,EAAEiH,GAAGlhC,EAAEC,CAAC,EAAE5B,EAAE,KAAK,EAAE2B,CAAC,CAAC,CAAC,CAAC,EAAM8gD,GAAG,CAAC,WAAWxhC,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAACvhB,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEI,CAAC,EAAE,EAAEC,EAAEy0B,GAAG90B,EAAE,MAAMI,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI2B,EAAEm3B,EAAEp5B,EAAEywB,GAAEnwB,EAAE,SAAS,CAAC,EAAE4B,EAAEgzB,GAAGh1B,EAAE,MAAMK,CAAC,EAAE,OAAO2B,EAAE,OAAO,EAAEg6B,EAAEiH,GAAGlhC,EAAEC,CAAC,EAAEhC,EAAE,KAAK,EAAE+B,CAAC,EAAE,EAAE,IAAI,CAAC,IAAIA,EAAEm3B,EAAEp5B,EAAEywB,GAAEvwB,EAAE,SAAS,CAAC,EAAEgC,EAAEgzB,GAAG50B,EAAE,MAAMC,CAAC,EAAE,OAAO2B,EAAE,OAAO,EAAEg6B,EAAEiH,GAAGlhC,EAAEC,CAAC,EAAE5B,EAAE,KAAK,EAAE2B,CAAC,CAAC,CAAC,CAAC,EAAM+gD,GAAG,CAAC,WAAWxhC,GAAG,SAASxhB,IAAI,CAAC,EAAE,IAAIy0B,GAAGz0B,CAAC,CAAC,EAAE,EAAMijD,GAAG,CAAC,WAAWnhC,GAAG,aAAa,CAAC,SAAS,EAAE,SAAS,CAAC9hB,EAAE,IAAI,CAAC,IAAIE,EAAE,EAAE,GAAG,MAAM,CAAC,QAAQ,IAAImoC,GAAGnoC,EAAE,MAAM,SAAS,CAAC,CAAC,CAAC,EAAMgjD,GAAG,CAAC,WAAWrhC,GAAG,SAAS7hB,IAAI,CAAC,EAAE,IAAIohC,GAAGphC,CAAC,CAAC,EAAE,EAAMmjD,GAAG,CAAC,WAAWphC,GAAG,cAAc,GAAG,SAAS,CAAC/hB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,KAAKI,CAAC,EAAEJ,EAAE,OAAO+wC,GAAGjxC,EAAEM,CAAC,EAAE,IAAIyB,GAAG,IAAIA,CAAC,CAAC,CAAC,EAAMqhD,GAAG,CAAC,WAAWphC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAChiB,EAAE,EAAEE,IAAI,CAAC,IAAII,EAAE,EAAE,GAAG,CAAC,SAASC,CAAC,EAAEL,EAAE,EAAEK,EAAE,IAAI,GAAG,EAAE,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIq8B,GAAG58B,EAAE,EAAEM,EAAE,KAAK,CAAC,CAAC,CAAC,EAAM+iD,GAAG,CAAC,WAAWnhC,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,cAAc,CAAC,EAAE,EAAE,SAAS,CAACliB,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEI,EAAEC,CAAC,EAAE,EAAE,EAAEL,EAAE,EAAEI,EAAE2B,EAAE+yB,GAAG,EAAE,MAAM,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAIpyB,EAAE6tB,GAAE,EAAE,SAAS,EAAE5tB,EAAEu2B,EAAEp5B,EAAEo5B,EAAEx2B,EAAEggC,GAAG,EAAE8D,GAAG9jC,EAAEigC,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE//B,EAAEoyB,GAAG,EAAE,MAAMjzB,CAAC,EAAE,OAAOa,EAAE,OAAO,IAAID,EAAEsgC,GAAGtgC,EAAEC,CAAC,GAAGo5B,EAAEr5B,EAAE,EAAE,KAAK,CAAC,EAAE,EAAE,IAAI,CAAC,IAAID,EAAE4hC,GAAG,EAAE,CAAC,EAAE3hC,EAAEq+B,GAAGt+B,EAAE+iC,GAAG,CAAC,EAAEvE,GAAG,CAAC,CAAC,EAAEt+B,EAAEs2B,EAAEp5B,EAAEo5B,EAAE74B,EAAEsC,CAAC,CAAC,EAAEE,EAAEmyB,GAAG,EAAE,MAAMjzB,CAAC,EAAE,OAAOc,EAAE,OAAO,IAAID,EAAEqgC,GAAGrgC,EAAEC,CAAC,GAAGm5B,EAAEp5B,EAAE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAMwgD,GAAG,CAAC,WAAWnhC,GAAG,aAAa,CAAC,IAAI,OAAO,EAAE,SAAS,CAACniB,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEI,CAAC,EAAE,EAAEC,EAAEikC,GAAGtkC,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIghC,GAAG3gC,EAAEP,EAAEo5B,EAAEp5B,EAAEM,CAAC,CAAC,EAAE,MAAM,IAAI,CAAC,IAAI,EAAE4gC,GAAG3gC,EAAE6gC,GAAGphC,CAAC,EAAEo5B,EAAEp5B,EAAEE,CAAC,CAAC,EAAE,EAAEg1B,GAAG50B,EAAE,MAAMN,EAAE,KAAK,EAAE,OAAO,EAAE,OAAO,IAAI,EAAEmjC,GAAG,EAAE,CAAC,GAAGjH,EAAE,EAAE57B,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAE,SAASijD,GAAGvjD,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,MAAM,MAAM,EAAEM,EAAEJ,GAAG,EAAE,IAAIK,EAAE27B,EAAE,EAAE57B,CAAC,EAAE,EAAE4/B,GAAGlgC,EAAEE,EAAE,GAAG,EAAE,EAAE,EAAEggC,GAAGlgC,EAAEE,EAAE,GAAG,EAAE,EAAE+B,EAAEm3B,EAAE,EAAE,CAAC,EAAE,OAAOA,EAAE74B,EAAE0B,CAAC,CAAC,CAAC,SAASuhD,GAAGxjD,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,MAAM,OAAOO,EAAED,EAAEJ,EAAE,OAAO,EAAEs6C,EAAE,mBAAmBt6C,EAAEI,CAAC,EAAE,EAAEN,EAAE,GAAG,OAAO,EAAE60B,GAAG70B,EAAE,CAAC,GAAG,IAAIiC,EAAE,EAAE,MAAM,MAAM,EAAE,EAAEA,EAAE,OAAO3B,EAAEJ,EAAE,OAAOA,EAAE,MAAM,EAAE,OAAO,CAAC4C,EAAEC,IAAID,EAAEC,EAAE,CAAC,EAAEd,EAAE,KAAK,CAAC,EAAE,IAAIW,EAAE,EAAE,QAAQX,CAAC,EAAE,EAAEshD,GAAG3gD,EAAE,EAAErC,CAAC,EAAE,GAAG,EAAE,EAAE,QAAQ,EAAE,KAAK,EAAE,GAAG,KAAK,CAAC,IAAIuC,EAAE03C,EAAE,uBAAuB,CAAC,EAAE,EAAE3lB,GAAG,EAAE/xB,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,IAAI2gD,GAAG,CAAC,WAAWrhC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACpiB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,CAAC,EAAE,EAAE,CAAC,KAAKC,CAAC,EAAEL,EAAE,EAAE,CAAC,EAAE,OAAOK,GAAG,KAAK,EAAED,EAAE,MAAM,IAAI,CAAC,EAAE2B,IAAIA,CAAC,EAAE,OAAO1B,GAAG,SAAS,EAAE,CAACA,CAAC,EAAE,EAAEA,EAAE,CAAC,EAAE,IAAIijD,GAAGljD,EAAEN,EAAE,CAAC,CAAC,CAAC,CAAC,EAAM0jD,GAAG,CAAC,WAAWvlC,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAACne,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEI,CAAC,EAAE,EAAEC,EAAEy0B,GAAG90B,EAAE,MAAMI,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI2B,EAAEi3B,GAAGl5B,EAAEywB,GAAEnwB,EAAE,SAAS,CAAC,EAAE4B,EAAEgzB,GAAGh1B,EAAE,MAAMK,CAAC,EAAE,OAAO2B,EAAE,OAAO,EAAEg6B,EAAEiH,GAAGlhC,EAAEC,CAAC,EAAEhC,EAAE,KAAK,EAAE+B,CAAC,EAAE,EAAE,IAAI,CAAC,IAAIA,EAAEm3B,EAAEp5B,EAAEywB,GAAEvwB,EAAE,SAAS,CAAC,EAAEgC,EAAEgzB,GAAG50B,EAAE,MAAMC,CAAC,EAAE2B,EAAE,OAAO,IAAID,EAAEi6B,EAAEiH,GAAGlhC,EAAEC,CAAC,EAAE5B,EAAE,KAAK,GAAG,IAAI6B,EAAE8gC,GAAG3iC,CAAC,EAAE,OAAOm0B,GAAGyE,GAAGj3B,EAAEwuB,GAAEtuB,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMwhD,GAAG,CAAC,WAAWjhC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC1iB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIg5B,GAAGl5B,EAAEy0B,GAAGwO,GAAG/iC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM0jD,GAAG,CAAC,WAAW3gC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACjjB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAEI,EAAE84B,EAAEkM,GAAGplC,EAAE,CAAC,EAAE4vC,GAAG5vC,CAAC,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIk5B,EAAEp5B,EAAEywB,GAAEnwB,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,EAAMujD,GAAG,CAAC,WAAWlhC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC3iB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIk5B,EAAEp5B,EAAEywB,GAAEqf,GAAG5vC,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,EAAM4jD,GAAG,CAAC,WAAWlhC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC5iB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIg8B,EAAEl8B,EAAEE,EAAE,KAAK,CAAC,CAAC,CAAC,EAAM6jD,GAAG,CAAC,WAAWhhC,GAAG,aAAa,CAAC,QAAQ,EAAE,SAAS,CAAC/iB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,CAAC,EAAE,EAAEC,EAAE,CAAC,GAAGP,EAAE,OAAOM,CAAC,EAAE,MAAM,CAAC,OAAO,IAAI4qB,EAAE,UAAUlI,GAAGziB,EAAEL,CAAC,CAAC,CAAC,CAAC,EAAM8jD,GAAG,CAAC,WAAWnhC,GAAG,aAAa,CAAC,QAAQ,EAAE,SAAS,CAAC7iB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,CAAC,EAAE,EAAEC,EAAE,CAAC,GAAGP,EAAE,OAAOM,CAAC,EAAE,MAAM,CAAC,OAAO,IAAI4qB,EAAE,UAAUpI,GAAGviB,EAAEL,CAAC,CAAC,CAAC,CAAC,EAAM+jD,GAAG,CAAC,WAAW/gC,GAAG,SAAS,CAACljB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,KAAKI,CAAC,EAAEJ,EAAEK,EAAEsY,GAAGvY,EAAEN,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI0sC,GAAG1sC,EAAEO,CAAC,CAAC,CAAC,CAAC,EAAM2jD,GAAG,CAAC,WAAW/gC,GAAG,SAASnjB,IAAI,CAAC,EAAE,IAAIohC,GAAGphC,CAAC,CAAC,EAAE,EAAMmkD,GAAG,CAAC,WAAW/gC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACpjB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIu0B,GAAGyE,GAAGl5B,EAAEo5B,EAAEwJ,GAAG1iC,EAAE,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMkkD,GAAG,CAAC,WAAW7gC,GAAG,aAAa,CAAC,WAAW,EAAE,SAAS,CAACvjB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,UAAU,IAAIuwB,GAAE2Q,GAAGlhC,CAAC,EAAE,SAAS,EAAE,EAAE,IAAIk5B,EAAEp5B,EAAEywB,GAAEvwB,EAAEF,EAAE,KAAK,CAAC,EAAE,EAAE,IAAIo5B,EAAEp5B,EAAEywB,GAAEyW,GAAGhnC,CAAC,EAAEF,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAMqkD,GAAG,CAAC,WAAW7gC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACxjB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAII,EAAEkkC,GAAGtkC,EAAE2iC,GAAG,CAAC,CAAC,EAAEtiC,EAAEsiC,GAAGqY,EAAE,EAAE,EAAErY,GAAGoY,EAAE,EAAE,EAAE7hB,EAAEp5B,EAAE,CAAC,EAAEiC,EAAEm3B,EAAEA,EAAEp5B,EAAEO,CAAC,EAAEmjC,GAAGjT,GAAEvwB,EAAE,SAAS,CAAC,CAAC,EAAE,OAAOghC,GAAG5gC,EAAE,EAAE2B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMqiD,GAAG,CAAC,WAAWzgC,GAAG,cAAc,CAAC,EAAE,EAAE,SAAS,CAAC7jB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIk5B,EAAEp5B,EAAEo5B,EAAEl5B,EAAEwmC,GAAG7D,GAAG,CAAC,EAAE3iC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMqkD,GAAG,CAAC,WAAW3gC,GAAG,SAAS5jB,IAAI,CAAC,EAAE,IAAIohC,GAAGphC,CAAC,CAAC,EAAE,EAAMwkD,GAAG,CAAC,WAAW9gC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC1jB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIk5B,EAAE0G,GAAGrP,GAAEvwB,EAAE,SAAS,CAAC,EAAEF,CAAC,CAAC,CAAC,CAAC,EAAMykD,GAAG,CAAC,WAAW9gC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC3jB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIk5B,EAAE4G,GAAGvP,GAAEvwB,EAAE,SAAS,CAAC,EAAEF,CAAC,CAAC,CAAC,CAAC,EAAM0kD,GAAG,CAAC,WAAWjhC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACzjB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,CAAC,EAAE,EAAE,CAAC,MAAMC,EAAE,KAAK,CAAC,EAAEL,EAAE,EAAEI,EAAE,MAAM,CAAC2B,EAAEC,CAAC,EAAEy0B,GAAGr2B,EAAEC,EAAE,CAAC,EAAE4B,EAAE,CAAC,EAAE,QAAQS,EAAE,EAAEA,EAAE5C,EAAE,KAAK4C,IAAIT,EAAE,KAAK,CAACF,EAAEW,GAAG,EAAEA,GAAGX,EAAEW,GAAGV,EAAEU,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,IAAI+mC,GAAG3pC,EAAEmC,CAAC,CAAC,CAAC,CAAC,EAAMwiD,GAAG,CAAC,WAAWxgC,GAAG,cAAc,CAAC,EAAE,EAAE,SAAS,CAACnkB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,CAAC,EAAE,EAAE,CAAC,IAAIC,CAAC,EAAEL,EAAE,EAAE,GAAG,EAAEk5B,EAAEp5B,EAAEM,CAAC,EAAE,MAAM,CAAC,OAAO,IAAIomC,GAAG,EAAEtN,EAAE+J,GAAG,EAAE,CAAC5iC,CAAC,EAAE,CAAC,EAAED,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMskD,GAAG,CAAC,WAAW9gC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC9jB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIk5B,EAAEp5B,EAAE08B,GAAGx8B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM2kD,GAAG,CAAC,WAAW5gC,GAAG,SAAS,CAACjkB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,WAAWI,EAAE,SAASC,CAAC,EAAEL,EAAE,MAAM,CAAC,EAAE,IAAIg9B,GAAGl9B,EAAEM,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAMukD,GAAG,CAAC,WAAW5gC,GAAG,SAAS,CAAClkB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,KAAKI,CAAC,EAAEJ,EAAE,MAAM,CAAC,EAAE,IAAIs8B,GAAGx8B,EAAEM,CAAC,CAAC,CAAC,CAAC,EAAMykD,GAAG,CAAC,WAAWhhC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC/jB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIg5B,GAAGl5B,EAAEo5B,EAAE2J,GAAGtS,GAAEvwB,EAAE,SAAS,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM8kD,GAAG,CAAC,WAAWtgC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC1kB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIk5B,EAAEp5B,EAAEo5B,EAAE3I,GAAEvwB,EAAE,SAAS,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM+kD,GAAG,CAAC,WAAWxgC,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAACzkB,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEI,CAAC,EAAE,EAAEC,EAAEsiC,GAAG,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIzJ,EAAEp5B,EAAEo5B,EAAE74B,EAAEmmC,GAAGxmC,EAAEI,CAAC,CAAC,CAAC,EAAE,EAAE,IAAI84B,EAAEp5B,EAAEo5B,EAAE74B,EAAEmmC,GAAGpmC,EAAEJ,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMglD,GAAG,CAAC,WAAWv/B,GAAG,SAAS3lB,IAAI,CAAC,EAAE,IAAIohC,GAAGphC,CAAC,CAAC,EAAE,EAAMmlD,GAAG,CAAC,WAAWpgC,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAAC/kB,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEI,CAAC,EAAE,EAAEC,EAAEy0B,GAAG90B,EAAE,MAAMI,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI2B,EAAEjC,EAAEkC,EAAEgzB,GAAGh1B,EAAE,MAAMK,CAAC,EAAE,OAAO2B,EAAE,OAAO,IAAID,EAAEkhC,GAAGlhC,EAAEC,CAAC,GAAGg6B,EAAEj6B,EAAE/B,EAAE,KAAK,CAAC,EAAE,EAAE,IAAI,CAAC,IAAI+B,EAAEjC,EAAEkC,EAAEgzB,GAAG50B,EAAE,MAAMC,CAAC,EAAE,OAAO2B,EAAE,OAAO,IAAID,EAAEkhC,GAAGlhC,EAAEC,CAAC,GAAGg6B,EAAEzH,GAAGxyB,CAAC,EAAE3B,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAM8kD,GAAG,CAAC,WAAWphC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAChkB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,CAAC,EAAE,EAAEC,EAAED,EAAE,MAAM,MAAM,EAAE,CAAC,KAAK,CAAC,EAAEJ,EAAE2Y,GAAG,EAAEvY,EAAE,KAAK,EAAE,QAAQ,GAAG,CAACC,EAAE,GAAG,CAAC,CAAC,EAAE,IAAI0B,EAAEi6B,EAAEl8B,EAAEO,CAAC,EAAE2B,EAAEk3B,EAAEn3B,EAAEqmC,GAAGhoC,EAAE,MAAM,SAAS,CAAC,EAAE,MAAM,CAAC,EAAE,IAAI4B,CAAC,CAAC,CAAC,EAAMmjD,GAAG,CAAC,WAAWrgC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAChlB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIg5B,GAAGl5B,EAAEijC,GAAGnD,GAAG5/B,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMolD,GAAG,CAAC,WAAWrgC,GAAG,cAAc,CAAC,EAAE,EAAE,SAAS,CAACjlB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIk5B,EAAEsN,GAAG7D,GAAG,CAAC,EAAEI,GAAG/iC,CAAC,CAAC,EAAEF,CAAC,CAAC,CAAC,CAAC,EAAMulD,GAAG,CAAC,WAAWrgC,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACllB,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACI,CAAC,EAAE,EAAE,CAAC,KAAKC,CAAC,EAAEL,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI8B,EAAEo/B,GAAG9gC,CAAC,EAAE,GAAGA,EAAE,OAAO,EAAE,QAAQ2B,EAAE,EAAEA,EAAE1B,EAAE,GAAG,EAAE0B,EAAED,EAAE82B,EAAE92B,EAAE46B,GAAG58B,EAAE,CAACiC,EAAE3B,EAAE,MAAM,EAAE,EAAE,CAACA,EAAE,MAAM,EAAE,CAAC,CAAC,UAAUA,EAAE,OAAO,EAAE,QAAQ2B,EAAE,EAAEA,EAAE1B,EAAE,GAAG,EAAE0B,EAAE,QAAQC,EAAE,EAAEA,EAAE3B,EAAE,GAAG,EAAE2B,EAAEF,EAAE82B,EAAE92B,EAAE46B,GAAG58B,EAAE,CAACiC,EAAE3B,EAAE,MAAM,GAAG4B,EAAE5B,EAAE,MAAM,EAAE,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,CAAC,UAAUA,EAAE,OAAO,EAAE,QAAQ2B,EAAE,EAAEA,EAAE1B,EAAE,GAAG,EAAE0B,EAAE,QAAQC,EAAE,EAAEA,EAAE3B,EAAE,GAAG,EAAE2B,EAAE,QAAQ,EAAE,EAAE,EAAE3B,EAAE,GAAG,EAAE,EAAEyB,EAAE82B,EAAE92B,EAAE46B,GAAG58B,EAAE,CAACiC,EAAE3B,EAAE,MAAM,GAAG4B,EAAE5B,EAAE,MAAM,GAAG,EAAEA,EAAE,MAAM,EAAE,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,CAAC,UAAUA,EAAE,OAAO,EAAE,QAAQ2B,EAAE,EAAEA,EAAE1B,EAAE,GAAG,EAAE0B,EAAE,QAAQC,EAAE,EAAEA,EAAE3B,EAAE,GAAG,EAAE2B,EAAE,QAAQ,EAAE,EAAE,EAAE3B,EAAE,GAAG,EAAE,EAAE,QAAQqC,EAAE,EAAEA,EAAErC,EAAE,GAAG,EAAEqC,EAAEZ,EAAE82B,EAAE92B,EAAE46B,GAAG58B,EAAE,CAACiC,EAAE3B,EAAE,MAAM,GAAG4B,EAAE5B,EAAE,MAAM,GAAG,EAAEA,EAAE,MAAM,GAAGsC,EAAEtC,EAAE,MAAM,EAAE,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,CAAC,MAAO,OAAM,IAAI,MAAM,2DAA2DA,EAAE,mBAAmB,EAAE,OAAO0B,CAAC,CAAC,CAAC,CAAC,EAAMwjD,GAAG,CAAC,WAAWngC,GAAG,SAAS,CAACrlB,EAAE,EAAEE,IAAI,CAAC,IAAII,EAAEJ,EAAE,CAAC,KAAKK,CAAC,EAAED,EAAE,EAAE+hC,GAAG9hC,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIs0B,GAAG70B,EAAE,CAAC,CAAC,CAAC,CAAC,EAAMylD,GAAG,CAAC,WAAWlgC,GAAG,SAAS,CAACvlB,EAAE,EAAEE,IAAI,CAAC,IAAII,EAAEJ,EAAE,CAAC,KAAKK,CAAC,EAAED,EAAE,MAAM,CAAC,MAAM,IAAIsvC,GAAG5vC,EAAEO,CAAC,CAAC,CAAC,CAAC,EAAMmlD,GAAG,CAAC,WAAWlgC,GAAG,aAAa,CAAC,YAAY,EAAE,SAAS,CAACxlB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIylD,GAAG3lD,EAAEE,CAAC,CAAC,CAAC,CAAC,EAAE,SAASylD,GAAG3lD,EAAE,EAAE,CAAC,IAAIE,EAAEgoC,GAAG,EAAE9G,GAAG,CAAC,CAAC,EAAE9gC,EAAEgkC,GAAGtkC,EAAEE,CAAC,EAAEK,EAAEmkC,GAAG,EAAE7B,GAAG,EAAE,OAAO,CAAC,EAAE,EAAEviC,EAAE,KAAKC,EAAE,KAAK,QAAQ0B,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE1B,EAAEqjC,GAAGrjC,EAAE0B,EAAE,CAAC,EAAE1B,EAAEymC,GAAGzmC,EAAE+nC,GAAGhoC,EAAE,MAAM,MAAM,CAAC,EAAE,IAAI,EAAE8gC,GAAG9gC,CAAC,EAAE,OAAO4gC,GAAG3gC,EAAED,EAAE,CAAC,CAAC,CAAC,IAAIslD,GAAG,CAAC,WAAWlgC,GAAG,SAAS1lB,IAAI,CAAC,EAAE,IAAIohC,GAAGphC,CAAC,CAAC,EAAE,EAAM6lD,GAAG,CAACvH,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGG,GAAGG,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGE,GAAGD,GAAGI,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGiD,GAAGhD,GAAGC,GAAGC,GAAGC,GAAGC,GAAGE,GAAGD,GAAGE,GAAGC,GAAGG,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGG,GAAGE,GAAGA,GAAGC,GAAGG,GAAGG,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGA,GAAGC,GAAGC,GAAGG,GAAGE,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGA,GAAGC,GAAGA,GAAGC,GAAGE,GAAGD,GAAGE,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGE,EAAE,EAAE,QAAQ5lD,KAAK6lD,GAAGn/B,GAAG1mB,CAAC,EAAE8pB,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEwP,GAAG,IAAI,CAAC,EAAExP,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE0P,GAAG,IAAI,CAAC,EAAE1P,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE4P,GAAG,IAAI,CAAC,EAAE5P,EAAE,EAAE,UAAU,IAAI,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE84B,EAAE,KAAK94B,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,IAAI,SAAS9pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE85B,GAAG,KAAK95B,EAAE,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,IAAI,SAAS9pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEg6B,GAAG,KAAKh6B,EAAE,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,OAAO,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEk6B,GAAG,KAAKl6B,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,OAAO,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEo6B,GAAG,KAAKp6B,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,SAAS,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEhS,EAAE,KAAK,OAAO,EAAE,IAAI,qCAAqC,EAAEokB,EAAE,KAAK,CAAC,CAAC,CAAC,EAAEpS,EAAE,EAAE,UAAU,OAAO,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEywB,GAAE,KAAKzwB,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEoS,EAAE,KAAK,CAAC,KAAK,IAAI,CAAC,CAAC,EAAEpS,EAAE,EAAE,UAAU,KAAK,SAAS9pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEk8B,EAAE,KAAK,CAACl8B,EAAE,CAAC,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,KAAK,SAAS9pB,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEg8B,EAAE,KAAK,CAACl8B,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE4pB,EAAE,EAAE,UAAU,KAAK,SAAS9pB,EAAE,EAAEE,EAAEI,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE47B,EAAE,KAAK,CAACl8B,EAAE,EAAEE,EAAEI,CAAC,CAAC,CAAC,EAAEwpB,EAAE,EAAE,UAAU,KAAK,SAAS9pB,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE27B,EAAE,KAAK,CAACl8B,EAAE,EAAEE,EAAEI,EAAEC,CAAC,CAAC,CAAC,EAAEupB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEwQ,GAAG,IAAI,CAAC,EAAExQ,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE0Q,GAAG,IAAI,CAAC,EAAE1Q,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE4Q,GAAG,IAAI,CAAC,EAAE5Q,EAAE,EAAE,UAAU,MAAM,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE46B,GAAG,KAAK56B,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEgR,GAAG,IAAI,CAAC,EAAEhR,EAAE,EAAE,UAAU,QAAQ,SAAS9pB,EAAE,EAAEE,EAAEI,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE87B,GAAG,KAAKp8B,EAAE,EAAEE,EAAEI,CAAC,CAAC,EAAEwpB,EAAE,EAAE,UAAU,eAAe,SAAS9pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEk9B,GAAG,KAAKl9B,EAAE,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,UAAU,SAAS9pB,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE88B,GAAG,KAAKr9B,EAAE,EAAEE,EAAEI,EAAEC,CAAC,CAAC,EAAEupB,EAAE,EAAE,UAAU,YAAY,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEi+B,GAAG,KAAKj+B,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,KAAK,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEywB,GAAE,KAAKzwB,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEqU,GAAG,IAAI,CAAC,EAAErU,EAAE,EAAE,UAAU,YAAY,SAAS9pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEs+B,GAAG,KAAKt+B,EAAE,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,OAAO,SAAS9pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEA,aAAa6pB,KAAK7pB,EAAE,CAACA,CAAC,GAAGw8B,GAAG,CAAC,KAAK,GAAGx8B,CAAC,EAAE,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,OAAO,SAAS9pB,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE2+B,GAAG,KAAKl/B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,CAAC,EAAEupB,EAAE,EAAE,UAAU,gBAAgB,SAAS9pB,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE++B,GAAG,KAAKt/B,EAAE,EAAEE,EAAEI,EAAEC,CAAC,CAAC,EAAEupB,EAAE,EAAE,UAAU,OAAO,SAAS9pB,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEy+B,GAAG,KAAKh/B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,CAAC,EAAEupB,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEgW,GAAG,IAAI,CAAC,EAAEhW,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEkW,GAAG,IAAI,CAAC,EAAElW,EAAE,EAAE,UAAU,QAAQ,SAAS9pB,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEggC,GAAG,KAAKlgC,EAAE,EAAEE,CAAC,CAAC,EAAE4pB,EAAE,EAAE,UAAU,OAAO,SAAS9pB,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEkgC,GAAG,KAAKpgC,EAAE,EAAEE,CAAC,CAAC,EAAE4pB,EAAE,EAAE,UAAU,aAAa,SAAS9pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEwgC,GAAG,KAAKxgC,EAAE,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,gBAAgB,SAAS9pB,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEmgC,GAAG,KAAK1gC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,CAAC,EAAEupB,EAAE,EAAE,UAAU,WAAW,SAAS9pB,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEugC,GAAG,KAAK9gC,EAAE,EAAEE,EAAEI,EAAEC,CAAC,CAAC,EAAEupB,EAAE,EAAE,UAAU,SAAS,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEshC,GAAG,KAAKthC,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,IAAI,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEk5B,GAAG,KAAKl5B,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,IAAI,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEwhC,GAAG,KAAKxhC,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE8X,GAAG,IAAI,CAAC,EAAE9X,EAAE,EAAE,UAAU,MAAM,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEghC,GAAG,KAAKhhC,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEgY,GAAG,IAAI,CAAC,EAAEhY,EAAE,EAAE,UAAU,cAAc,SAAS9pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEwjC,GAAG,KAAKxjC,EAAE,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE4Z,GAAG,IAAI,CAAC,EAAE5Z,EAAE,EAAE,UAAU,WAAW,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE4jC,GAAG,KAAK5jC,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEga,GAAG,IAAI,CAAC,EAAEha,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEglB,GAAG,IAAI,CAAC,EAAEhlB,EAAE,EAAE,UAAU,QAAQ,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEoS,EAAE,KAAK,CAAC,KAAK,IAAI,CAAC,CAAC,EAAEpS,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEsa,GAAG,IAAI,CAAC,EAAEta,EAAE,EAAE,UAAU,SAAS,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEg5B,GAAG,KAAKh5B,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,OAAO,SAAS9pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEskC,GAAG,KAAKtkC,EAAE,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,aAAa,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE0kC,GAAG,KAAK1kC,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,QAAQ,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEwkC,GAAG,KAAKxkC,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEklB,GAAG,IAAI,CAAC,EAAEllB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEolB,GAAG,IAAI,CAAC,EAAEplB,EAAE,EAAE,UAAU,SAAS,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE8a,GAAG,IAAI,CAAC,EAAE9a,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEgb,GAAG,IAAI,CAAC,EAAEhb,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEkb,GAAG,IAAI,CAAC,EAAElb,EAAE,EAAE,UAAU,UAAU,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEklC,GAAG,KAAKllC,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,UAAU,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEslC,GAAG,KAAKtlC,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,KAAK,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEolC,GAAG,KAAKplC,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,2BAA2B,SAAS9pB,EAAE,EAAEE,EAAEI,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEmlC,GAAG,KAAKzlC,EAAE,EAAEE,EAAEI,CAAC,CAAC,EAAEwpB,EAAE,EAAE,UAAU,WAAW,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE0c,GAAG,IAAI,CAAC,EAAE1c,EAAE,EAAE,UAAU,WAAW,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE4mC,GAAG,KAAK5mC,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,UAAU,SAAS9pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE8mC,GAAG,KAAK9mC,EAAE,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE6b,GAAG,IAAI,CAAC,EAAE7b,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE+b,GAAG,IAAI,CAAC,EAAE/b,EAAE,EAAE,UAAU,WAAW,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEgnC,GAAG,KAAKhnC,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,WAAW,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEod,GAAG,IAAI,CAAC,EAAEpd,EAAE,EAAE,UAAU,UAAU,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEonC,GAAG,KAAKpnC,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,WAAW,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEsnC,GAAG,KAAKtnC,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,OAAO,SAAS9pB,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE4yB,GAAG,KAAK9yB,EAAE,EAAEE,CAAC,CAAC,EAAE4pB,EAAE,EAAE,UAAU,QAAQ,SAAS9pB,EAAE,EAAEE,EAAEI,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEsnC,GAAG,KAAK5nC,EAAE,EAAEE,EAAEI,CAAC,CAAC,EAAEwpB,EAAE,EAAE,UAAU,IAAI,SAAS9pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEwiC,GAAG,KAAKxiC,EAAE,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,QAAQ,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEkoC,GAAG,KAAKloC,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,KAAK,SAAS9pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEooC,GAAG,KAAKpoC,EAAE,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,IAAI,SAAS9pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE0iC,GAAG,KAAK1iC,EAAE,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,QAAQ,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEyoC,GAAG,KAAKzoC,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,UAAU,SAAS9pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE2oC,GAAG,KAAK3oC,EAAE,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,IAAI,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE6oC,GAAG,KAAK7oC,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,IAAI,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEo5B,EAAE,KAAKp5B,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE2K,GAAG,IAAI,CAAC,EAAE3K,EAAE,EAAE,UAAU,KAAK,SAAS9pB,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEojC,GAAG,KAAKtjC,EAAE,EAAEE,CAAC,CAAC,EAAE4pB,EAAE,EAAE,UAAU,SAAS,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEqpC,GAAG,KAAKrpC,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,OAAO,SAAS9pB,EAAE,EAAE,EAAEE,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE8yB,GAAG,KAAKhzB,EAAE,EAAEE,CAAC,CAAC,EAAE4pB,EAAE,EAAE,UAAU,SAAS,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEyf,GAAG,IAAI,CAAC,EAAEzf,EAAE,EAAE,UAAU,IAAI,SAAS9pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE2pC,GAAG,KAAK3pC,EAAE,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,KAAK,SAAS9pB,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEkqC,GAAG,KAAKzqC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,CAAC,EAAEupB,EAAE,EAAE,UAAU,IAAI,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE4iC,GAAG,KAAK5iC,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,MAAM,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE2qC,GAAG,KAAK3qC,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,KAAK,SAAS9pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE6qC,GAAG,KAAK7qC,EAAE,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,WAAW,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEsiB,GAAG,IAAI,CAAC,EAAEtiB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEwiB,GAAG,IAAI,CAAC,EAAExiB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE0iB,GAAG,IAAI,CAAC,EAAE1iB,EAAE,EAAE,UAAU,UAAU,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEk8B,EAAE,KAAKl8B,EAAE,KAAK,CAAC,EAAE8pB,EAAE,EAAE,UAAU,QAAQ,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEk8B,EAAE,KAAKl8B,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,eAAe,SAAS9pB,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEi2C,GAAG,KAAKn2C,EAAE,EAAEE,CAAC,CAAC,EAAE4pB,EAAE,EAAE,UAAU,sBAAsB,SAAS9pB,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEm2C,GAAG,KAAKr2C,EAAE,EAAEE,CAAC,CAAC,EAAE4pB,EAAE,EAAE,UAAU,QAAQ,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE0sC,GAAG,KAAK1sC,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEwlB,GAAG,IAAI,CAAC,EAAExlB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEsjB,GAAG,IAAI,CAAC,EAAEtjB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEwjB,GAAG,IAAI,CAAC,EAAExjB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE0jB,GAAG,IAAI,CAAC,EAAE1jB,EAAE,EAAE,UAAU,gBAAgB,SAAS9pB,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEmtC,GAAG,KAAK1tC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,CAAC,EAAEupB,EAAE,EAAE,UAAU,QAAQ,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE4S,GAAG,IAAI,CAAC,EAAE5S,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEgkB,GAAG,IAAI,CAAC,EAAEhkB,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEkkB,GAAG,IAAI,CAAC,EAAElkB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEokB,GAAG,IAAI,CAAC,EAAEpkB,EAAE,EAAE,UAAU,MAAM,SAAS9pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE48B,GAAG,KAAK58B,EAAE,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,QAAQ,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE4uC,GAAG,KAAK5uC,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,SAAS,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEwc,GAAG,IAAI,CAAC,EAAExc,EAAE,EAAE,UAAU,eAAe,SAAS9pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEqqC,GAAG,KAAKrqC,EAAE,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,MAAM,SAAS9pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEovC,GAAG,KAAKpvC,EAAE,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEiZ,GAAG,IAAI,CAAC,EAAEjZ,EAAE,EAAE,UAAU,OAAO,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEmZ,GAAG,IAAI,CAAC,EAAEnZ,EAAE,EAAE,UAAU,kBAAkB,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEwvC,GAAG,KAAKxvC,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,QAAQ,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE0vC,GAAG,KAAK1vC,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,MAAM,SAAS9pB,EAAE,EAAE,CAAC,KAAK,gBAAgB,EAAE,IAAIE,EAAEF,aAAa6pB,GAAG,CAAC,KAAK7pB,CAAC,EAAE,CAAC,KAAK,GAAGA,CAAC,EAAE,OAAO4vC,GAAG1vC,EAAE,CAAC,CAAC,EAAE4pB,EAAE,EAAE,UAAU,KAAK,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE8vC,GAAG,KAAK9vC,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,aAAa,SAAS9pB,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE+tC,GAAG,KAAKhwC,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,CAAC,CAAC,EAAE6nB,EAAE,EAAE,UAAU,IAAI,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE0mC,GAAG,KAAK1mC,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,IAAI,SAAS9pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEmjC,GAAG,KAAKnjC,EAAE,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEomB,GAAG,IAAI,CAAC,EAAEpmB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEgT,GAAG,IAAI,CAAC,EAAEhT,EAAE,EAAE,UAAU,KAAK,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEgkC,GAAG,KAAKhkC,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,OAAO,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE2G,GAAE,KAAK,MAAM,CAAC,EAAE3G,EAAE,EAAE,UAAU,QAAQ,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE2G,GAAE,KAAK,SAAS,CAAC,EAAE3G,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE2G,GAAE,KAAK,OAAO,CAAC,EAAE3G,EAAE,EAAE,UAAU,KAAK,SAAS9pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEywC,GAAG,KAAKzwC,EAAE,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,UAAU,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE60B,GAAG,KAAK70B,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,OAAO,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE6wC,GAAG,KAAK7wC,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,mBAAmB,SAAS9pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE+wC,GAAG,KAAK/wC,EAAE,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,QAAQ,SAAS9pB,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEixC,GAAG,KAAKjxC,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,MAAM,SAAS9pB,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEkhC,GAAGlhC,EAAE,KAAK,CAAC,CAAC,EAAE8pB,EAAE,EAAE,UAAU,UAAU,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEsX,GAAG,IAAI,CAAC,EAAE,IAAI0kB,GAAG,cAAc,KAAK,CAAC,YAAYhlD,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAO,eAAe,KAAKglD,GAAG,SAAS,CAAC,CAAC,EAAEC,GAAG,cAAc,KAAK,CAAC,YAAYjlD,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAO,eAAe,KAAKilD,GAAG,SAAS,CAAC,CAAC,EAAEC,EAAE,cAAc,KAAK,CAAC,YAAYllD,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAO,eAAe,KAAKklD,EAAE,SAAS,CAAC,CAAC,EAAEC,GAAG,cAAc,KAAK,CAAC,YAAYnlD,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAO,eAAe,KAAKmlD,GAAG,SAAS,CAAC,CAAC,EAAEC,GAAG,cAAc,KAAK,CAAC,YAAYplD,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAO,eAAe,KAAKolD,GAAG,SAAS,CAAC,CAAC,EAAMC,GAAG,KAAK,CAAC,YAAYrlD,EAAE,CAAC,KAAK,WAAWA,GAAG,IAAI,KAAK,MAAM,IAAI,GAAG,CAAC,IAAIA,EAAE,CAAC,IAAIZ,EAAE,OAAO,KAAK,MAAM,IAAIY,CAAC,IAAIZ,EAAE,KAAK,MAAM,IAAIY,CAAC,EAAE,KAAK,MAAM,OAAOA,CAAC,EAAE,KAAK,MAAM,IAAIA,EAAEZ,CAAC,GAAGA,CAAC,CAAC,IAAIY,EAAEZ,EAAE,CAAC,GAAG,KAAK,MAAM,IAAIY,CAAC,EAAE,KAAK,MAAM,OAAOA,CAAC,UAAU,KAAK,MAAM,MAAM,KAAK,WAAW,CAAC,IAAI,EAAE,KAAK,MAAM,KAAK,EAAE,KAAK,EAAE,MAAM,KAAK,MAAM,OAAO,CAAC,CAAC,CAAC,KAAK,MAAM,IAAIA,EAAEZ,CAAC,CAAC,CAAC,eAAe,CAAC,OAAO,KAAK,UAAU,CAAC,cAAcY,EAAE,CAAC,GAAGA,EAAE,EAAE,MAAM,IAAI,MAAM,4DAA4DA,IAAI,EAAE,GAAG,KAAK,WAAWA,EAAE,QAAQZ,EAAE,EAAEA,EAAE,KAAK,WAAWY,EAAEZ,IAAI,CAAC,IAAI,EAAE,KAAK,MAAM,KAAK,EAAE,KAAK,EAAE,MAAM,KAAK,MAAM,OAAO,CAAC,CAAC,CAAC,KAAK,WAAWY,CAAC,CAAC,EAAE,SAASslD,GAAGpmD,EAAE,EAAE,CAAC,GAAG,MAAM,QAAQA,CAAC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAE,EAAEA,IAAIJ,EAAEA,EAAE,OAAOF,CAAC,EAAE,OAAOE,CAAC,KAAK,CAAC,IAAIA,EAAE,IAAI,MAAM,CAAC,EAAE,OAAOA,EAAE,KAAKF,CAAC,EAAEE,CAAC,CAAC,CAAC,SAASmmD,GAAGrmD,EAAE,EAAE,CAAC,GAAG,CAACA,EAAE,MAAM,IAAIkmD,GAAG,CAAC,CAAC,CAAC,SAASI,GAAGtmD,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAE,QAAQI,KAAKN,EAAEM,IAAI,GAAGJ,IAAI,OAAOA,CAAC,CAAC,SAASqmD,GAAGvmD,EAAE,CAAC,OAAOA,EAAE,SAAS,EAAEA,EAAE,GAAGA,CAAC,CAAC,SAASwmD,GAAGxmD,EAAE,CAAC,OAAO,MAAM,QAAQA,CAAC,EAAEA,EAAE,CAACA,CAAC,CAAC,CAAC,SAASymD,GAAGzmD,EAAE,CAAC,IAAIE,EAAEF,EAAE,QAAQ,uBAAuB,OAAO,EAAE,QAAQ,kBAAkB,OAAO,EAAE,YAAY,EAAE,OAAOE,EAAE,KAAK,IAAIA,EAAE,UAAUA,CAAC,CAAC,SAASwmD,GAAG1mD,EAAE,CAAC,OAAOA,EAAE,QAAQ,GAAGA,EAAE,QAAQ,GAAG,IAAI,GAAGA,EAAEA,EAAE,QAAQ,cAAc,CAAC,EAAEE,IAAIA,EAAE,YAAY,CAAC,CAAC,CAAC,IAAIymD,GAAG,CAAC,EAAE,SAASC,GAAG5mD,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,KAAK,IAAI,EAAE,CAAC,EAAE,OAAO,EAAE,UAAUA,EAAE,aAAa,EAAE,EAAE,OAAOA,EAAE,UAAU,EAAE,CAAC,CAAC,SAAS6mD,GAAG7mD,EAAE,CAAC,GAAG,EAAEA,GAAG,MAAM,OAAOA,GAAG,UAAU,GAAG,MAAM,QAAQA,CAAC,EAAEA,EAAE,QAAQ,GAAG6mD,GAAG,CAAC,CAAC,MAAM,CAAC,IAAI,EAAE,OAAO,KAAK7mD,CAAC,EAAE,QAAQE,KAAK,EAAE,CAAC,IAAII,EAAEN,EAAEE,GAAGI,GAAG,MAAM,OAAOA,GAAG,WAAW,CAAC,MAAM,QAAQA,CAAC,GAAGA,EAAE,OAAO,WAAW,OAAOA,EAAE,OAAO,SAASN,EAAEE,GAAGI,EAAE,MAAMumD,GAAGvmD,CAAC,EAAE,CAAC,CAAC,CAAC,SAASwmD,GAAG9mD,EAAE,EAAE,CAAC,EAAEE,EAAE,CAAC,EAAEI,EAAE,SAASC,EAAE,GAAG,CAAC,GAAG,OAAOP,GAAG,SAAS,CAAC,IAAI,EAAEA,EAAE,EAAE,GAAG,KAAKE,EAAE,EAAEA,EAAE,WAAW,KAAKymD,GAAG,EAAEA,GAAG,WAAW,EAAE,EAAE,GAAG,GAAG,KAAK,MAAM,IAAIX,EAAE,WAAW1lD,MAAMN;AAAA,SAC7xkCM;AAAA,gBACOA,mGAAmG,EAAE,OAAO,CAAC,KAAK,CAAC,IAAI,EAAEN,EAAE,GAAG,EAAE,WAAW,MAAM,EAAE,QAAQ,KAAK,MAAM,IAAIgmD,EAAE,GAAG1lD,8BAA8B,KAAK,UAAU,CAAC;AAAA,mCAC1M,EAAE,IAAI,EAAE,EAAE,UAAU2B,EAAEC,EAAE,GAAG,KAAKhC,EAAE,CAAC+B,EAAEC,CAAC,EAAEhC,EAAE,GAAG,KAAKymD,GAAG,CAAC1kD,EAAEC,CAAC,EAAEykD,GAAG,UAAU,KAAK,IAAI,CAAC1kD,EAAEC,CAAC,EAAE,EAAE,IAAID,GAAG,KAAK,MAAM,IAAI+jD,EAAE,WAAW1lD,MAAM;AAAA,SAC5JA;AAAA,gBACOA,mGAAmG,EAAE,GAAG4B,GAAG,KAAK,CAAC,IAAIC,EAAE,CAAC,EAAE,QAAQY,KAAK,OAAO,KAAK4jD,EAAE,EAAExkD,EAAEY,GAAG4jD,GAAG5jD,GAAG,QAAQA,KAAK,OAAO,KAAK7C,CAAC,EAAEiC,EAAEY,GAAG7C,EAAE6C,GAAG,IAAIH,EAAE,EAAE,OAAOA,EAAE,cAAcT,EAAE,IAAIU,EAAE,OAAO,OAAO,CAAC,EAAE8jD,EAAE,EAAE,QAAQ5jD,KAAK,OAAO,KAAK7C,CAAC,EAAEymD,GAAG5jD,GAAG7C,EAAE6C,GAAG8jD,GAAG,EAAE,MAAM,EAAE,IAAI/jD,EAAEZ,EAAED,EAAE,EAAE,OAAO/B,EAAEK,CAAC,EAAE,OAAOomD,GAAG,OAAO,OAAO,CAAC,EAAE9jD,CAAC,EAAEC,CAAC,KAAK,CAAC,IAAIX,EAAE,OAAO,OAAO,CAAC,EAAEwkD,EAAE,EAAE,QAAQ9jD,KAAK,OAAO,KAAK3C,CAAC,EAAEymD,GAAG9jD,GAAG3C,EAAE2C,GAAG,IAAID,EAAE,IAAIX,EAAE,EAAE,MAAM,EAAE,OAAO0kD,GAAG,OAAO,OAAO,CAAC,EAAExkD,CAAC,EAAES,CAAC,CAAC,CAAC,CAAC,SAASmkD,GAAG/mD,EAAE,EAAE,CAAC,OAAOA,EAAE,EAAE,GAAGA,EAAE,EAAE,EAAE,CAAC,CAAC,SAASgnD,GAAGhnD,EAAE,EAAE,CAAC,MAAM,GAAG+mD,GAAG/mD,EAAE,CAAC,CAAC,CAAC,SAASinD,GAAGjnD,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAOA,EAAE,IAAI,EAAE,CAAC,EAAE,QAAQE,KAAKF,EAAE,EAAE,QAAQE,CAAC,IAAI,IAAI,EAAE,KAAKA,CAAC,EAAE,OAAO,CAAC,CAAC,SAASgnD,GAAGlnD,EAAE,CAAC,GAAGA,GAAG,KAAK,MAAM,IAAIgmD,EAAE,yBAAyB,KAAK,UAAUhmD,CAAC,GAAG,EAAE,QAAQ,KAAKA,EAAE,GAAGA,EAAE,eAAe,CAAC,EAAE,MAAM,GAAG,MAAM,EAAE,CAAC,SAASmnD,GAAGnnD,EAAE,EAAEE,EAAE,CAAC,GAAGA,GAAG,MAAMF,EAAE,QAAQE,CAAC,EAAE,EAAE,MAAM,IAAI8lD,EAAE,GAAG9lD,oBAAoB,wBAAwBF,sBAAsB,CAAC,CAAC,SAASonD,GAAGpnD,EAAE,EAAEE,EAAE,EAAEI,EAAE,EAAE,EAAE,CAAC,OAAO+lD,GAAGnmD,GAAG,CAAC,EAAEmmD,GAAG/lD,GAAGJ,CAAC,EAAE,MAAM,QAAQF,CAAC,GAAGA,EAAE,QAAQE,GAAGF,EAAE,QAAQM,GAAGN,EAAE,MAAMO,GAAG,OAAOA,IAAI,CAAC,CAAC,CAAC,SAAS8mD,GAAGrnD,EAAE,EAAE,CAAC,MAAM,QAAQA,CAAC,GAAG8mB,EAAE,OAAO9mB,EAAE,OAAO,EAAE,IAAI,GAAG,mCAAmC,EAAEA,EAAE,QAAQ,CAACE,EAAEI,IAAI+mD,GAAGnnD,EAAE,WAAWI,EAAE,QAAQ,GAAG,CAAC,GAAGwmB,EAAE,OAAO,OAAO,UAAU9mB,CAAC,GAAGA,EAAE,EAAE,IAAI,YAAY,uCAAuCsnD,GAAGtnD,CAAC,IAAI,CAAC,CAAC,SAASsnD,GAAGtnD,EAAE,CAAC,OAAOA,IAAI,KAAK,OAAO,MAAM,QAAQA,CAAC,EAAE,IAAIA,EAAE,IAAI,GAAGsnD,GAAG,CAAC,CAAC,EAAE,KAAK,GAAG,EAAE,IAAI,OAAOtnD,GAAG,SAAS,IAAIA,KAAK,GAAGA,GAAG,CAAC,SAASunD,GAAGvnD,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEJ,GAAG,KAAKA,EAAE,EAAE4mB,EAAE,IAAI,EAAEvmB,EAAE,MAAM,IAAIyB,IAAI,CAAC,IAAIC,EAAE/B,GAAG,KAAKA,EAAE,EAAE4mB,EAAE,IAAI,EAAE,OAAO7kB,EAAE3B,EAAE,IAAIA,EAAE2B,EAAE1B,EAAEP,EAAE,GAAGgC,CAAC,GAAGzB,CAAC,CAAC,CAAC,SAASinD,GAAGxnD,EAAE,CAAC,OAAOA,IAAI,OAAO,OAAOA,IAAI,SAAS,SAASA,IAAI,MAAM,MAAM,IAAI,CAAC,IAAIynD,GAAG,EAAE,SAASC,IAAI,CAAC,OAAOD,IAAI,CAAC,IAAIE,GAAG,CAAC,EAAE,SAASC,GAAG5nD,EAAE,GAAG,CAAC,OAAOA,KAAK2nD,KAAKA,GAAG3nD,GAAG,GAAG2nD,GAAG3nD,IAAI,EAAEA,EAAE2nD,GAAG3nD,GAAG,SAAS,CAAC,CAAC,IAAI6nD,GAAG,CAAC,gBAAgB,cAAc,EAAEC,GAAG,CAAC,UAAU,UAAU,EAAEC,GAAG,CAAC,QAAQ,OAAO,QAAQ,EAAEC,GAAG,CAAC,MAAM,KAAK,EAAEC,GAAG,CAAC,MAAM,MAAM,SAAS,KAAK,EAAMC,GAAG,IAAI,IAAI,SAASC,GAAGnoD,EAAE,CAACmnD,GAAGU,GAAG,aAAa7nD,CAAC,CAAC,CAAC,SAASooD,GAAGpoD,EAAE,CAACmnD,GAAGW,GAAG,sBAAsB9nD,CAAC,CAAC,CAAC,SAASqoD,GAAGroD,EAAE,CAACmnD,GAAGY,GAAG,cAAc/nD,CAAC,CAAC,CAAC,SAASsoD,GAAGtoD,EAAE,CAACmnD,GAAGa,GAAG,WAAWhoD,CAAC,CAAC,CAAC,IAAIuoD,GAAG,CAAC,EAAEC,GAAG,IAAI,SAASC,GAAGzoD,EAAE,EAAE,CAACuoD,GAAG,KAAKvoD,CAAC,EAAE,GAAG,CAAC,IAAIE,EAAE,EAAE,EAAE,OAAOqoD,GAAG,IAAI,EAAEroD,CAAC,OAAOA,EAAN,CAAS,MAAMqoD,GAAG,IAAI,EAAEroD,CAAC,CAAC,CAAC,SAASwoD,IAAI,CAAC,OAAOH,GAAG,SAAS,EAAE,GAAGA,GAAG,KAAKC,EAAE,EAAEA,EAAE,CAAC,SAASG,GAAG3oD,EAAE,CAAC,GAAG,CAAC4oD,GAAG5oD,CAAC,EAAE,MAAM,IAAI,MAAM,6BAA6BA,EAAE,GAAG,EAAE,OAAO0oD,GAAG,EAAE1oD,CAAC,CAAC,SAAS6oD,GAAG7oD,EAAE,CAAC,GAAG,CAAC4oD,GAAG5oD,CAAC,EAAE,MAAM,IAAI,MAAM,6BAA6BA,EAAE,GAAG,EAAEkoD,GAAG,IAAIloD,CAAC,GAAGkoD,GAAG,IAAIloD,EAAE,CAAC,EAAE,IAAI,EAAEkoD,GAAG,IAAIloD,CAAC,EAAE,GAAGkoD,GAAG,IAAIloD,EAAEkoD,GAAG,IAAIloD,CAAC,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,IAAIE,EAAE,GAAGF,KAAK,IAAI,OAAOkoD,GAAG,IAAIhoD,EAAE,CAAC,EAAEA,CAAC,KAAM,QAAOF,CAAC,CAAC,IAAI8oD,GAAG,IAAI,OAAO,iCAAiC,EAAE,SAASF,GAAG5oD,EAAE,CAAC,MAAM,CAAC,CAACA,EAAE,MAAM8oD,EAAE,CAAC,CAAC,SAASC,GAAG/oD,EAAE,CAAC,OAAOA,IAAI,SAASA,EAAE,SAAS,EAAE,EAAE,CAAC,CAAC,SAASgpD,GAAGhpD,EAAE,EAAEE,EAAE,CAAC,GAAG,OAAO,EAAE,GAAGA,GAAG,OAAOA,EAAEF,EAAE,QAAQ,IAAIM,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAEL,EAAE,EAAEK,EAAED,GAAGN,EAAEO,GAAG,OAAOD,CAAC,CAAC,SAAS2oD,GAAGjpD,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,OAAO,IAAI,IAAI,EAAE,OAAO,kBAAkB,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,CAAC,IAAII,EAAEN,EAAEE,GAAGI,EAAE,IAAI,EAAEA,EAAE,CAAC,OAAO,CAAC,CAAC,SAAS4oD,GAAGlpD,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,OAAO,IAAI,IAAI,EAAE,OAAO,kBAAkB,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,CAAC,IAAII,EAAEN,EAAEE,GAAGI,EAAE,IAAI,EAAEA,EAAE,CAAC,OAAO,CAAC,CAAC,SAAS6oD,GAAGnpD,EAAE,EAAE,CAAC,GAAG,EAAEA,EAAE,MAAM,IAAIgmD,EAAE,QAAQ,eAAehmD,kBAAkB,EAAE,IAAIE,EAAE,CAAC,EAAE,QAAQI,EAAEN,EAAEM,EAAE,EAAE,EAAEA,EAAEJ,EAAE,KAAKI,CAAC,EAAE,OAAOJ,CAAC,CAAC,IAAIkpD,GAAG,SAASC,IAAI,CAAC,OAAOD,IAAI,OAAOA,GAAGh1B,GAAG,EAAE,QAAQ,GAAGg1B,EAAE,CAAC,SAASE,IAAI,CAAC,MAAM,cAAc,CAAC,SAASC,GAAGvpD,EAAE,EAAE,CAAC,OAAOywB,GAAEzwB,EAAE,CAAC,CAAC,CAAC,SAASwpD,GAAGxpD,EAAE,EAAE,GAAG,CAAC,IAAIE,EAAEF,EAAE,MAAM,MAAM,EAAE,OAAO,EAAE,IAAI,EAAEE,EAAE,OAAO,EAAE,GAAGA,EAAE,OAAO,EAAE,EAAE,CAAC,EAAEg8B,EAAEl8B,EAAEE,CAAC,CAAC,CAAC,SAASupD,GAAGzpD,EAAE,EAAE,CAAC,OAAOyzB,EAAE,IAAI,CAAC,GAAGzzB,EAAE,MAAM,SAAS,EAAE,MAAM,IAAIgmD,EAAE,yDAAyDhmD,EAAE,MAAM,gBAAgB,EAAE,IAAIE,EAAEspD,GAAGxpD,EAAE,CAAC,EAAE,OAAO0pD,GAAGxpD,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAASypD,GAAG3pD,EAAE,CAAC,IAAI,EAAE,CAACgpD,GAAGhpD,EAAE,KAAK,CAAC,EAAE,OAAOk8B,EAAEl8B,EAAE,CAAC,CAAC,CAAC,SAAS4pD,GAAG5pD,EAAE,CAAC,GAAGA,EAAE,MAAM,EAAE,MAAM,IAAIgmD,EAAE,wDAAwDhmD,EAAE,OAAO,EAAE,IAAI,EAAE,CAACA,EAAE,MAAM,GAAGgpD,GAAGhpD,EAAE,MAAM,CAAC,CAAC,EAAE,OAAOk8B,EAAEl8B,EAAE,CAAC,CAAC,CAAC,SAAS6pD,GAAG7pD,EAAE,EAAEE,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,OAAOzzB,EAAE,KAAK,CAAC,IAAK,GAAE,OAAOouC,GAAGpuC,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOouC,GAAGtuC,EAAE,CAAC,EAAE,CAAC,EAAE,CAACE,EAAEF,EAAE,MAAM,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOwuC,GAAGxuC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,CAACE,EAAEF,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAE,IAAK,GAAE,OAAO0uC,GAAG1uC,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE,CAACE,EAAEF,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAE,IAAK,GAAE,OAAO48B,GAAG58B,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,EAAE,CAACE,EAAEF,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAE,IAAK,GAAE,OAAO48B,GAAG58B,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC,EAAE,CAACE,EAAEF,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAE,QAAQ,MAAM,IAAIgmD,EAAE,8DAA8DhmD,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS8pD,GAAG9pD,EAAE,EAAEE,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,OAAOzzB,EAAE,KAAK,CAAC,IAAK,GAAE,OAAOouC,GAAGpuC,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOouC,GAAGtuC,EAAE,CAAC,EAAE,CAAC,EAAE,CAACA,EAAE,MAAM,GAAGE,CAAC,CAAC,EAAE,IAAK,GAAE,OAAOsuC,GAAGxuC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGE,CAAC,CAAC,EAAE,IAAK,GAAE,OAAOwuC,GAAG1uC,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGE,CAAC,CAAC,EAAE,QAAQ,MAAM,IAAI8lD,EAAE,6DAA6DhmD,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS+pD,GAAG/pD,EAAE,EAAEE,EAAEI,EAAE,CAAC,OAAOmzB,EAAE,IAAI,CAAC,OAAOzzB,EAAE,KAAK,CAAC,IAAK,GAAE,OAAOouC,GAAGpuC,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOI,EAAE,CAAC,IAAK,GAAE,OAAOupD,GAAG7pD,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAO4pD,GAAG9pD,EAAE,EAAEE,CAAC,EAAE,QAAQ,MAAM,IAAI8lD,EAAE,iDAAiD1lD,GAAG,CAAC,CAAC,IAAK,GAAE,OAAOA,EAAE,CAAC,IAAK,GAAE,OAAOupD,GAAG7pD,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOsuC,GAAGxuC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,CAACA,EAAE,MAAM,GAAGE,EAAEF,EAAE,MAAM,EAAE,CAAC,EAAE,IAAK,GAAE,OAAO8pD,GAAG9pD,EAAE,EAAEE,CAAC,EAAE,QAAQ,MAAM,IAAI8lD,EAAE,iDAAiD1lD,GAAG,CAAC,CAAC,IAAK,GAAE,OAAOA,EAAE,CAAC,IAAK,GAAE,OAAOupD,GAAG7pD,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOwuC,GAAG1uC,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE,CAACA,EAAE,MAAM,GAAGE,EAAEF,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAE,IAAK,GAAE,OAAO0uC,GAAG1uC,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGE,EAAEF,EAAE,MAAM,EAAE,CAAC,EAAE,IAAK,GAAE,OAAO8pD,GAAG9pD,EAAE,EAAEE,CAAC,EAAE,QAAQ,MAAM,IAAI8lD,EAAE,iDAAiD1lD,GAAG,CAAC,CAAC,QAAQ,MAAM,IAAI0lD,EAAE,6DAA6DhmD,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,SAASgqD,GAAGhqD,EAAE,EAAE,GAAG,CAAC,IAAIE,EAAE,OAAO,EAAE,IAAIA,EAAEF,EAAE,GAAG,KAAKE,IAAI,EAAE,EAAEA,EAAE,EAAE,GAAG,IAAIF,EAAE,GAAG,OAAO,EAAE,IAAIw8B,GAAGx8B,EAAE,CAAC,CAAC,CAAC,SAASiqD,GAAGjqD,EAAE,EAAE,CAAC,OAAOA,EAAE,KAAK,CAAC,IAAK,GAAE,OAAOw+B,GAAG,CAACx+B,EAAE,CAAC,CAAC,EAAE,IAAK,GAAE,OAAO0+B,GAAG,CAAC1+B,EAAE,CAAC,EAAE,CAAC,EAAE,IAAK,GAAE,OAAO4+B,GAAG,CAAC5+B,EAAE,CAAC,EAAE,CAAC,EAAE,IAAK,GAAE,OAAO8+B,GAAG,CAAC9+B,EAAE,CAAC,EAAE,CAAC,EAAE,QAAQ,MAAM,IAAIgmD,EAAE,+DAA+DhmD,EAAE,MAAM,CAAC,CAAC,CAAC,SAAS0pD,GAAG1pD,EAAE,EAAE,CAAC,GAAG,MAAM,QAAQ,CAAC,IAAI,EAAE,CAAC,CAAC,GAAGA,EAAE,OAAO,EAAE,OAAO,MAAM,IAAIgmD,EAAE,0BAA0B,EAAE,+DAA+DhmD,EAAE,OAAO,EAAE,OAAOgkC,GAAGhkC,EAAE,CAAC,CAAC,CAAC,SAASkqD,GAAGlqD,EAAE,EAAE,EAAEE,EAAE,EAAEI,EAAEC,EAAE,CAAC,OAAOsrC,GAAG7rC,EAAE,EAAEE,EAAEI,EAAEC,CAAC,CAAC,CAAC,SAAS4pD,GAAGnqD,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAGN,EAAE,KAAK,GAAG,EAAE,KAAK,EAAE,MAAM,IAAIimD,GAAG,8DAA8DjmD,EAAE,uBAAuB,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,EAAE,CAAC,IAAIO,EAAEP,EAAE,MAAM,MAAM,EAAE,EAAE,GAAG,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,GAAG,GAAGO,IAAI,EAAE,MAAM,IAAI0lD,GAAG,gGAAgGjmD,EAAE,wBAAwB,EAAE,OAAO,CAAC,CAAC,GAAGA,EAAE,OAAO,GAAG,EAAE,OAAO,EAAE,OAAOyyC,GAAG,OAAO,CAAC,EAAEzyC,EAAE,EAAE,EAAE,WAAW,GAAG,WAAW,GAAG,KAAKM,EAAE8pD,GAAGpqD,EAAE,KAAKM,EAAEgpD,GAAG,CAAC,EAAE,KAAK,WAAWppD,CAAC,CAAC,EAAE,CAAC,IAAIK,EAAEP,EAAE,MAAM,MAAM,EAAE,EAAEO,EAAE,IAAI,EAAEP,EAAEk8B,EAAEl8B,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE,IAAI,EAAE,EAAE,MAAM,MAAM,EAAEiC,EAAE,EAAE,IAAI,EAAEC,EAAE,EAAE,IAAI,EAAEC,EAAE,CAAC,GAAG,EAAEF,CAAC,EAAEW,EAAE,MAAM,KAAK,CAAC,OAAO,EAAE,IAAI,EAAE,CAACI,EAAEkB,IAAIA,IAAI,EAAE,EAAE,KAAK,EAAEA,GAAG,EAAE,KAAK,EAAEA,EAAE,EAAEA,CAAC,EAAE,EAAEg4B,EAAErH,GAAG,EAAEjyB,CAAC,EAAE,CAACV,EAAE,EAAE,CAAC,EAAE,IAAIW,EAAE,CAAC,GAAGtC,EAAE,GAAG4B,CAAC,EAAEW,EAAE,GAAGC,EAAE,GAAG,OAAOm5B,EAAEuW,GAAG,OAAO,CAAC,EAAEzyC,EAAE,EAAE,EAAE,WAAW8C,EAAE,WAAWC,EAAE,KAAKzC,EAAE8pD,GAAGpqD,EAAE,KAAKM,EAAEgpD,GAAG,CAAC,EAAE,KAAK,WAAWppD,CAAC,CAAC,EAAE2C,CAAC,CAAC,CAAC,CAAC,SAASwnD,GAAGrqD,EAAE,EAAEE,EAAE,CAAC,OAAOuzB,EAAE,KAAK,MAAM,QAAQ,CAAC,EAAE,EAAE0c,GAAG,EAAE,OAAO,EAAE,EAAE1f,GAAE,EAAE,OAAO,EAAE6T,GAAGtkC,EAAE,EAAEE,CAAC,EAAE,CAAC,CAAC,SAASoqD,GAAGtqD,EAAE,CAAC,OAAOo5B,EAAEp5B,EAAEA,CAAC,CAAC,CAAC,SAASoqD,GAAGpqD,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,EAAE,MAAM,GAAG,EAAE,OAAO,GAAG,EAAE,OAAON,EAAE,MAAM,IAAIgmD,EAAE,+BAA+B,EAAE,gCAAgChmD,GAAG,EAAE,GAAGA,IAAI,EAAE,CAAC,GAAGE,IAAI,gBAAgB,OAAOI,EAAE,SAAS,EAAE47B,EAAE,EAAE,CAAC,EAAE57B,EAAE,GAAG,EAAE,EAAE,CAAC,CAAC,EAAE47B,EAAE,EAAE,CAAC,EAAE57B,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,CAAC,EAAE,GAAGJ,IAAI,eAAe,OAAOI,EAAE,SAAS,EAAE47B,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE57B,EAAE,EAAE,CAAC,EAAE47B,EAAE,EAAE,CAAC,CAAC,EAAE,OAAO57B,CAAC,CAAC,CAAC,SAASN,IAAI,EAAE,CAAC,GAAGE,IAAI,gBAAgB,OAAOI,EAAE,SAAS,EAAE47B,EAAE,EAAE,CAAC,EAAE57B,EAAE,GAAG,EAAE,CAAC,CAAC,EAAE47B,EAAE,EAAE,CAAC,EAAE57B,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,CAAC,EAAE,GAAGJ,IAAI,eAAe,OAAOI,EAAE,SAAS,EAAE47B,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE57B,EAAE,EAAE,CAAC,EAAE47B,EAAE,EAAE,CAAC,CAAC,EAAE,OAAO57B,CAAC,CAAC,CAAC,SAASN,IAAI,EAAE,CAAC,GAAGE,IAAI,gBAAgB,OAAOI,EAAE,SAAS,EAAE47B,EAAE,EAAE,CAAC,EAAE57B,EAAE,GAAG,CAAC,CAAC,EAAE47B,EAAE,EAAE,CAAC,EAAE57B,EAAE,GAAGA,EAAE,EAAE,CAAC,EAAE,GAAGJ,IAAI,eAAe,OAAOI,EAAE,SAAS,EAAE47B,EAAE,EAAE,CAAC,EAAE,EAAE57B,EAAE,EAAE,CAAC,EAAE47B,EAAE,EAAE,CAAC,CAAC,EAAE,OAAO57B,CAAC,CAAC,CAAC,SAASN,EAAE,EAAE,OAAO,EAAE,MAAM,IAAIgmD,EAAE,sCAAsC,EAAE,MAAM,CAAC,CAAC,SAASuE,GAAGvqD,EAAE,EAAEE,EAAE,CAAC,OAAOuzB,EAAE,KAAKvzB,GAAG,OAAOA,EAAEopD,GAAG,GAAGnB,GAAGjoD,CAAC,EAAE44B,EAAE94B,EAAEoqD,GAAGpqD,EAAE,KAAK,EAAEE,CAAC,CAAC,EAAE,CAAC,CAAC,SAASsqD,GAAGxqD,EAAE,EAAE,EAAE,CAAC,GAAG,IAAI,EAAE,MAAM,IAAIimD,GAAG,0CAA0C,4BAA4B,EAAE,OAAOrkB,GAAG5hC,CAAC,CAAC,CAAC,SAASyqD,GAAGzqD,EAAE,CAAC,OAAOyzB,EAAE,IAAIyF,GAAGl5B,EAAE84B,EAAEQ,GAAGt5B,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS0qD,GAAG1qD,EAAE,EAAEE,EAAEI,EAAE,CAAC,OAAOmzB,EAAE,IAAI2e,GAAGpyC,EAAE,EAAEE,EAAEI,CAAC,CAAC,CAAC,CAAC,SAASqqD,GAAG3qD,EAAE,CAAC,OAAOyzB,EAAE,IAAI,CAAC,IAAI,EAAEqF,EAAE,GAAGM,EAAE,GAAGp5B,CAAC,CAAC,EAAE,OAAOs+B,GAAG,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,SAASssB,GAAG5qD,EAAE,EAAEE,EAAE,GAAG,CAAC,OAAOA,EAAEF,EAAE,EAAE,EAAE,CAAC,CAAC,IAAI6qD,GAAG,CAAC,QAAQ,SAAS,QAAQ,EAAEC,GAAG,CAAC,SAAS,UAAU,iBAAiB,EAAE,SAASC,GAAG/qD,EAAE,CAACmnD,GAAG0D,GAAG,UAAU7qD,CAAC,CAAC,CAAC,SAASgrD,GAAGhrD,EAAE,CAACmnD,GAAG2D,GAAG,eAAe9qD,CAAC,CAAC,CAAC,IAAIirD,GAAG,cAAcxzB,GAAE,YAAY,CAAC,6BAA6B,CAAC,MAAM,EAAE,CAAC,WAAW,CAAC,MAAM,CAAC,CAAC,CAAC,EAAEyzB,GAAG,cAAcD,EAAE,CAAC,MAAMnqD,EAAEZ,EAAE,CAAC,OAAOmoC,GAAGvnC,EAAEZ,CAAC,CAAC,CAAC,EAAEgrD,GAAG,UAAU,QAAQzzB,GAAE,cAAcyzB,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,MAAMnqD,EAAEZ,EAAE,CAAC,OAAOooC,GAAGxnC,EAAEZ,CAAC,CAAC,CAAC,EAAEirD,GAAG,UAAU,OAAO1zB,GAAE,cAAc0zB,EAAE,EAAE,IAAIC,GAAG,cAAcH,EAAE,CAAC,YAAYnqD,EAAE,CAAC,GAAG,MAAM,EAAE,OAAOA,GAAG,SAAS,MAAM,IAAIklD,EAAE,oDAAoDllD,GAAG,EAAE,GAAGA,EAAE,QAAQ,OAAO,MAAM,IAAIklD,EAAE,sCAAsCllD,GAAG,EAAE,KAAK,MAAMA,EAAE,KAAK,CAAC,MAAMA,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI2F,EAAEyJ,GAAG,KAAK,KAAK,EAAEyF,GAAGxnC,EAAEZ,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,MAAM,KAAK,KAAK,CAAC,CAAC,EAAEkrD,GAAG,UAAU,WAAW3zB,GAAE,cAAc2zB,EAAE,EAAE,IAAIC,GAAG,cAAcJ,EAAE,CAAC,YAAYnqD,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,KAAK,eAAe,IAAI,KAAK,OAAOA,EAAE,QAAQ,KAAK,eAAe,KAAK,OAAOA,EAAE,QAAQ,KAAK,eAAe,KAAK,KAAKA,EAAE,IAAI,CAAC,MAAMA,EAAEZ,EAAE,CAAC,OAAO+rC,GAAGnrC,EAAE,KAAK,OAAO,KAAK,OAAOZ,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,OAAO,KAAK,OAAO,OAAO,KAAK,OAAO,KAAK,KAAK,IAAI,CAAC,CAAC,EAAEmrD,GAAG,UAAU,gBAAgB5zB,GAAE,cAAc4zB,EAAE,EAAE,IAAIC,GAAG,cAAcL,EAAE,CAAC,YAAYnqD,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,EAAE,KAAK,eAAe,IAAI,KAAK,KAAKA,EAAE,MAAM,KAAK,aAAa,KAAK,OAAOA,EAAE,QAAQ,KAAK,eAAe,KAAK,KAAKA,EAAE,IAAI,CAAC,MAAMA,EAAEZ,EAAE,CAAC,GAAGA,EAAEA,GAAG,UAAUA,IAAI,WAAWA,IAAI,QAAQ,MAAM,IAAI+lD,GAAG,uCAAuC/lD,IAAI,EAAE,OAAOgqD,GAAGppD,EAAE,KAAK,KAAK,KAAK,OAAOZ,EAAE,KAAK,IAAI,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,KAAK,KAAK,KAAK,OAAO,KAAK,OAAO,KAAK,KAAK,IAAI,CAAC,CAAC,EAAEorD,GAAG,UAAU,eAAe7zB,GAAE,cAAc6zB,EAAE,EAAE,IAAIC,GAAG,cAAcN,EAAE,CAAC,YAAYnqD,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,EAAE,KAAK,eAAe,IAAI,KAAK,KAAKA,EAAE,MAAM,KAAK,aAAa,KAAK,OAAOA,EAAE,QAAQ,KAAK,eAAe,KAAK,KAAKA,EAAE,IAAI,CAAC,MAAMA,EAAEZ,EAAE,CAAC,GAAGA,EAAEA,GAAG,UAAUA,IAAI,WAAWA,IAAI,QAAQ,MAAM,IAAI+lD,GAAG,0CAA0C/lD,IAAI,EAAE,OAAOywC,GAAG7vC,EAAE,KAAK,KAAK,KAAK,OAAOZ,EAAE,KAAK,IAAI,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,KAAK,KAAK,KAAK,OAAO,KAAK,OAAO,KAAK,KAAK,IAAI,CAAC,CAAC,EAAEqrD,GAAG,UAAU,kBAAkB9zB,GAAE,cAAc8zB,EAAE,EAAE,IAAIC,GAAG,cAAcP,EAAE,CAAC,YAAYnqD,EAAE,CAAC,MAAM,EAAE,KAAK,KAAKA,EAAE,MAAM,KAAKA,EAAE,KAAK,CAAC,CAAC,MAAMA,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,GAAG3yB,EAAE,SAAS,GAAGA,EAAE,KAAKA,EAAE,GAAG,MAAM,IAAIklD,EAAE,sEAAsE,EAAE,OAAO5sB,EAAE,KAAK,KAAK8K,GAAGpjC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,KAAK,KAAK,IAAI,CAAC,CAAC,EAAE0qD,GAAG,UAAU,WAAW/zB,GAAE,cAAc+zB,EAAE,EAAE,SAASC,GAAGzrD,EAAE,EAAE,eAAe,CAAC,IAAIE,EAAEI,EAAE,GAAG6nD,GAAG,CAAC,EAAEnoD,EAAE,SAAS,EAAEE,EAAEF,EAAE,GAAGM,EAAEN,EAAE,WAAW,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQA,EAAE,MAAM,IAAI,IAAI,GAAG,IAAI,gBAAgB,CAAC,IAAIO,EAAEyoD,GAAGhpD,EAAE,CAAC,EAAEE,EAAEF,EAAE,GAAGO,EAAED,EAAEN,EAAE,GAAGO,CAAC,SAAS,IAAI,eAAe,CAAC,IAAIA,EAAEyoD,GAAGhpD,EAAE,EAAEA,EAAE,OAAO,CAAC,EAAEE,EAAEF,EAAEA,EAAE,OAAO,GAAGO,EAAED,EAAEN,EAAEA,EAAE,OAAO,GAAGO,CAAC,MAAM,CAAC,IAAIA,EAAEyoD,GAAGhpD,CAAC,EAAEE,EAAE,KAAK,KAAKK,CAAC,EAAED,EAAE,KAAK,KAAKC,CAAC,CAAC,CAAC,MAAM,CAACL,EAAEI,CAAC,CAAC,CAAC,IAAIorD,GAAG,cAAcT,EAAE,CAAC,YAAYnqD,EAAE,CAAC,GAAG,MAAM,EAAEA,EAAE,MAAM,EAAE,MAAM,IAAIklD,EAAE,wCAAwCllD,EAAE,OAAO,EAAE,KAAK,MAAMA,EAAE,OAAO,KAAK,EAAEA,EAAE,MAAM,KAAK,KAAKA,EAAE,MAAM,KAAK,QAAQA,EAAE,KAAKiqD,GAAG,KAAK,IAAI,EAAE,KAAK,aAAajqD,EAAE,cAAc,KAAK,SAASA,EAAE,aAAakqD,GAAG,KAAK,YAAY,EAAE,KAAK,KAAKlqD,EAAE,IAAI,CAAC,MAAMA,EAAEZ,EAAE,CAAC,IAAI,EAAEurD,GAAG3qD,CAAC,EAAEP,EAAE,EAAE,GAAGwB,EAAE,EAAE,GAAGC,EAAE,KAAK,MAAM,GAAG,KAAK,OAAO,QAAQA,GAAG,KAAK,IAAI,EAAEzB,CAAC,EAAE,KAAK,OAAO,SAASyB,GAAG,KAAK,IAAI,EAAED,CAAC,EAAEC,GAAG,KAAK,IAAI,GAAGzB,EAAEwB,GAAG,CAAC,EAAE,KAAK,eAAe,SAAS,CAAC,IAAIE,EAAE,KAAK,KAAKD,CAAC,EAAE,GAAG9B,EAAEA,GAAG,UAAUA,IAAI,WAAWA,IAAI,QAAQ,MAAM,IAAI+lD,GAAG,GAAG,KAAK,aAAa,4BAA4B/lD,IAAI,EAAE,OAAOywC,GAAG7vC,EAAE,EAAEmB,EAAE/B,EAAE,KAAK,IAAI,CAAC,KAAK,CAAC,IAAI+B,EAAE,KAAK,KAAK,EAAED,CAAC,EAAE,OAAOiqC,GAAGnrC,EAAE,CAACmB,EAAEA,EAAE/B,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,MAAM,KAAK,MAAM,KAAK,KAAK,KAAK,aAAa,KAAK,aAAa,KAAK,KAAK,IAAI,CAAC,CAAC,EAAEwrD,GAAG,UAAU,kBAAkBj0B,GAAE,cAAci0B,EAAE,EAAE,IAAIC,GAAG,cAAcD,EAAE,CAAC,YAAY5qD,EAAE,CAAC,MAAM,CAAC,MAAM,EAAE,KAAK,SAAS,aAAa,UAAU,KAAKA,GAAG,KAAK,KAAKA,EAAE,IAAI,CAAC,CAAC,CAAC,cAAc,CAAC,OAAO4qD,GAAG,SAAS,CAAC,EAAEC,GAAG,UAAU,gBAAgBl0B,GAAE,cAAck0B,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAY5qD,EAAE,CAAC,MAAM,CAAC,MAAM,EAAE,KAAK,SAAS,aAAa,SAAS,KAAKA,GAAG,KAAK,KAAKA,EAAE,IAAI,CAAC,CAAC,CAAC,cAAc,CAAC,OAAO4qD,GAAG,SAAS,CAAC,EAAEE,GAAG,UAAU,eAAen0B,GAAE,cAAcm0B,EAAE,EAAE,IAAIC,GAAG,cAAcH,EAAE,CAAC,YAAY5qD,EAAE,CAAC,MAAM,CAAC,MAAM,EAAE,KAAK,QAAQ,aAAa,SAAS,KAAKA,GAAG,KAAK,KAAKA,EAAE,IAAI,CAAC,CAAC,CAAC,cAAc,CAAC,OAAO4qD,GAAG,SAAS,CAAC,EAAEG,GAAG,UAAU,WAAWp0B,GAAE,cAAco0B,EAAE,EAAE,IAAIC,GAAG,cAAcJ,EAAE,CAAC,YAAY5qD,EAAE,CAAC,MAAM,CAAC,MAAM,EAAE,KAAK,QAAQ,aAAa,UAAU,KAAKA,GAAG,KAAK,KAAKA,EAAE,IAAI,CAAC,CAAC,CAAC,cAAc,CAAC,OAAO4qD,GAAG,SAAS,CAAC,EAAEI,GAAG,UAAU,YAAYr0B,GAAE,cAAcq0B,EAAE,EAAE,IAAIC,GAAG,cAAcL,EAAE,CAAC,YAAY5qD,EAAE,CAAC,MAAM,CAAC,MAAM,EAAE,KAAK,QAAQ,aAAa,SAAS,KAAKA,GAAG,KAAK,KAAKA,EAAE,IAAI,CAAC,CAAC,CAAC,cAAc,CAAC,OAAO4qD,GAAG,SAAS,CAAC,EAAEK,GAAG,UAAU,cAAct0B,GAAE,cAAcs0B,EAAE,EAAE,IAAIC,GAAG,cAAcN,EAAE,CAAC,YAAY5qD,EAAE,CAAC,MAAM,CAAC,MAAM,EAAE,KAAK,QAAQ,aAAa,UAAU,KAAKA,GAAG,KAAK,KAAKA,EAAE,IAAI,CAAC,CAAC,CAAC,cAAc,CAAC,OAAO4qD,GAAG,SAAS,CAAC,EAAEM,GAAG,UAAU,cAAcv0B,GAAE,cAAcu0B,EAAE,EAAE,IAAIC,GAAG,cAAchB,EAAE,CAAC,YAAYnqD,EAAE,CAAC,GAAG,MAAM,EAAE,KAAK,aAAa,EAAE,KAAK,KAAKA,EAAE,MAAM,KAAK,KAAK,aAAaA,EAAE,KAAK,KAAK,KAAKA,EAAE,KAAK,KAAK,MAAM,KAAK,MAAM,IAAImlD,GAAG,gEAAgE,CAAC,CAAC,MAAMnlD,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,GAAG3yB,EAAE,OAAO,EAAE,MAAM,IAAImlD,GAAG,4BAA4B,EAAEnlD,EAAE,GAAGA,EAAE,GAAG,KAAK,QAAQ,KAAK,2EAA2EA,EAAE,GAAGA,EAAE,oCAAoC,EAAE,IAAI,EAAEA,EAAE,GAAGA,EAAE,GAAG,CAACA,EAAE,GAAGA,EAAE,EAAE,EAAEA,EAAEP,EAAE2pD,GAAG,EAAE,EAAE,EAAE,SAAS,EAAEnoD,EAAEy3C,GAAG,YAAYj5C,CAAC,EAAE,OAAOO,EAAE,GAAGA,EAAE,KAAKiB,EAAE8yB,GAAG9yB,CAAC,GAAGq3B,EAAE,KAAK,KAAKr3B,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,IAAI,CAAC,CAAC,EAAEkqD,GAAG,UAAU,aAAax0B,GAAE,cAAcw0B,EAAE,EAAE,IAAIC,GAAG,CAAC,SAAS,WAAW,aAAa,eAAe,cAAc,gBAAgB,SAAS,WAAW,UAAU,YAAY,SAAS,WAAW,YAAY,cAAc,aAAa,eAAe,KAAK,OAAO,WAAW,aAAa,aAAa,eAAe,cAAc,gBAAgB,gBAAgB,kBAAkB,gBAAgB,kBAAkB,MAAM,OAAO,EAAE,SAASC,GAAGnsD,EAAE,EAAE,CAAC,EAAE,CAAC,OAAO8mD,GAAG9mD,EAAEy3B,GAAE,iBAAiB,OAAO,EAAE,aAAa,EAAE,aAAa,CAAC,CAAC,SAAS20B,GAAGpsD,EAAE,CAAC,OAAO4mD,GAAG5mD,CAAC,CAAC,CAAC,SAASqsD,GAAGrsD,EAAE,CAAC,GAAG,OAAOA,GAAG,SAAS,CAAC,IAAI,EAAEA,KAAKksD,GAAGA,GAAGlsD,GAAGA,EAAE,GAAG,IAAI,eAAe,OAAO,IAAI4rD,GAAG,GAAG,IAAI,gBAAgB,OAAO,IAAID,GAAG,GAAG,IAAI,WAAW,OAAO,IAAIE,GAAG,GAAG,IAAI,YAAY,OAAO,IAAIC,GAAG,GAAG,IAAI,cAAc,OAAO,IAAIC,GAAG,GAAG,IAAI,eAAe,OAAO,IAAIC,GAAG,CAAC,IAAI9rD,EAAE,CAAC,EAAE,OAAOA,EAAE,UAAU,EAAEA,EAAE,OAAO,CAAC,EAAEisD,GAAGjsD,CAAC,CAAC,CAAC,KAAM,QAAOF,aAAairD,GAAGjrD,EAAEmsD,GAAGnsD,CAAC,CAAC,CAAC,SAASssD,GAAGtsD,EAAE,CAAC,OAAO,MAAM,QAAQA,CAAC,GAAG,MAAM,QAAQA,EAAE,EAAE,CAAC,CAAC,SAASusD,GAAGvsD,EAAE,CAAC,OAAOA,EAAE,SAAS,EAAE,CAAC,EAAE,MAAM,QAAQA,EAAE,EAAE,EAAEA,EAAE,CAACA,CAAC,CAAC,CAAC,SAASwsD,GAAGxsD,EAAE,CAAC,IAAI,EAAE,GAAG,MAAM,QAAQA,CAAC,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAIgmD,EAAE,uCAAuChmD,EAAE,QAAQ,EAAE,EAAEA,EAAE,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,CAAC,SAASysD,GAAGzsD,EAAE,CAAC,GAAG,MAAM,QAAQA,CAAC,GAAG,MAAM,QAAQA,EAAE,EAAE,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAOA,EAAEA,EAAEA,EAAE,GAAG,MAAM,IAAIgmD,EAAE,iCAAiChmD,EAAE,QAAQ,CAAC,KAAM,QAAOA,CAAC,CAAC,SAAS0sD,GAAG1sD,EAAE,CAAC,IAAI,EAAE,EAAE,QAAQE,KAAKF,EAAEE,EAAE,MAAM,SAAS,EAAE,GAAG,EAAE,GAAGA,EAAE,MAAM,OAAO,CAACI,EAAEC,IAAID,EAAEC,CAAC,EAAE,OAAO,CAAC,CAAC,IAAIosD,GAAG,WAAWC,GAAG,KAAK,CAAC,YAAY9rD,EAAEZ,EAAE,UAAU,EAAEysD,GAAGpsD,EAAE,GAAGwB,EAAE,KAAK,CAAC,KAAK,MAAM7B,GAAG,KAAK,UAAUA,EAAE,KAAK,MAAMY,EAAE,MAAM,KAAK,GAAG4mD,GAAG,EAAE,EAAE,GAAG,KAAKiF,GAAG,EAAE,KAAK,aAAahE,GAAG,CAAC,EAAE,KAAK,KAAKE,GAAG,KAAK,YAAY,EAAE,KAAK,WAAWtoD,EAAE,KAAK,WAAWwB,EAAE,KAAK,IAAIovC,GAAGrwC,EAAE,KAAK,WAAW,KAAK,KAAK,KAAK,KAAK,CAAC,CAAC,MAAM,CAAC,OAAO,KAAK,kBAAkB,EAAE,KAAK,GAAG,CAAC,MAAMA,EAAE,CAAC,OAAO,KAAK,kBAAkB,EAAE+rD,GAAG,KAAK,IAAI/rD,CAAC,EAAE,KAAK,IAAI,KAAKA,EAAE,KAAK,KAAK,IAAI,OAAOA,CAAC,EAAE,KAAK,YAAY,MAAM,KAAK,IAAI,OAAO,KAAK,WAAW,MAAM,KAAK,GAAG,CAAC,GAAG,IAAI,CAAC,SAAS,CAAC,KAAK,kBAAkB,EAAE,KAAK,IAAI,QAAQ,CAAC,CAAC,mBAAmB,CAAC,GAAG,KAAK,IAAI,WAAW,MAAM,IAAI,MAAM,kBAAkB,KAAK,2BAA2B,CAAC,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,UAAU,CAAC,IAAI,UAAUA,EAAE,CAAC,KAAK,WAAWA,EAAE,KAAK,IAAI,UAAUA,CAAC,CAAC,EAAE,SAAS+rD,GAAG7sD,EAAE,EAAE,CAAC,GAAGA,EAAE,MAAM,SAAS,IAAI,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,mBAAmB,KAAK,UAAUA,EAAE,KAAK,EAAE,QAAQ,KAAK,UAAU,EAAE,KAAK,CAAC,CAAC,CAAC,SAAS8sD,GAAG9sD,EAAE,CAAC,OAAOA,EAAE,IAAI,GAAG,EAAE,KAAK,CAAC,CAAC,CAAC,SAAS+sD,GAAG/sD,EAAE,CAACA,EAAE,QAAQ,GAAG,CAAC,EAAE,GAAG,MAAM,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAIgtD,GAAG,KAAK,CAAC,YAAYlsD,EAAE,CAAC,KAAK,MAAMA,EAAE,MAAM,KAAK,MAAMA,EAAE,MAAMA,EAAE,OAAO,KAAK,KAAK,KAAKA,EAAE,MAAM,OAAO,KAAK,KAAKA,EAAE,KAAK,KAAK,QAAQA,EAAE,QAAQ,KAAK,QAAQA,EAAE,QAAQ,KAAK,KAAKA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEmsD,GAAG,KAAK,CAAC,YAAYnsD,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAEC,EAAE,CAAC,KAAK,MAAMnB,EAAE,KAAK,MAAMZ,EAAE,KAAK,YAAY,EAAE,KAAK,OAAOK,EAAE,KAAK,SAASwB,EAAE,KAAK,kBAAkBE,EAAE,KAAK,GAAGylD,GAAG,EAAE1lD,GAAG,OAAO,KAAK,aAAa2mD,GAAG3mD,CAAC,EAAE,KAAK,KAAK6mD,GAAG,KAAK,YAAY,GAAG,KAAK,KAAK3oD,EAAE,MAAM,CAAC,EAAEgtD,GAAG,EAAEC,GAAG,KAAK,CAAC,YAAYrsD,EAAEZ,EAAE,CAAC,KAAK,SAASA,EAAE,KAAK,GAAGgtD,KAAK,KAAK,cAAcpsD,EAAE,cAAc,KAAK,cAAcA,EAAE,cAAc,KAAK,YAAYA,EAAE,YAAY,KAAK,cAAcA,EAAE,cAAc,KAAK,aAAaA,EAAE,aAAa,KAAK,cAAcA,EAAE,cAAc,KAAK,WAAWA,EAAE,WAAW,KAAK,YAAYA,EAAE,YAAY,KAAK,YAAYA,EAAE,YAAY,KAAK,aAAaA,EAAE,aAAa,QAAQ,KAAKA,EAAE,cAAc,GAAG,MAAM,EAAE,cAAc,KAAK,IAAI,EAAEA,EAAE,cAAc,aAAa,KAAK,IAAI,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQZ,KAAK,KAAK,cAAcA,GAAG,KAAKY,EAAE,KAAKZ,EAAE,IAAI,EAAEY,EAAE,KAAK,IAAI,EAAE,MAAM,CAAC,cAAc,KAAK,cAAc,KAAK,cAAc,KAAK,KAAK,cAAcA,EAAE,YAAY,KAAK,YAAY,cAAc,KAAK,aAAa,CAAC,CAAC,EAAEssD,GAAG,EAAEC,GAAG,cAAc51B,GAAE,YAAY,CAAC,YAAY32B,EAAE,CAAC,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,KAAK,kBAAkB,CAAC,EAAE,KAAK,UAAU,GAAG,KAAK,GAAGssD,KAAK,KAAK,oBAAoB,KAAK,KAAK,UAAU,KAAK,KAAK,gBAAgB,GAAG,KAAK,kBAAkB,CAAC,EAAE,KAAK,qBAAqB,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAE,KAAK,SAAS,CAAC,EAAE,KAAK,OAAO,GAAG,KAAK,aAAa,CAAC,EAAE,KAAK,cAAc,CAAC,EAAE,IAAIltD,EAAEY,EAAE,KAAK,GAAG,CAACZ,EAAE,CAAC,IAAI,EAAE,KAAK,aAAa,EAAEA,EAAEumD,GAAG,CAAC,EAAE,IAAImB,GAAG,CAAC,CAAC,CAAC,GAAG,KAAK,KAAK1nD,EAAE,KAAK,WAAWY,EAAE,WAAW,KAAK,GAAGA,EAAE,UAAUA,EAAE,YAAY,MAAMA,EAAE,iBAAiB,KAAK,CAAC,IAAI,EAAE,GAAGA,EAAE,iBAAiB,KAAK,EAAEA,EAAE,wBAAwBA,EAAE,YAAY,KAAK,CAAC,IAAIiB,EAAE,KAAKjB,EAAE,WAAW,OAAOiB,EAAEjB,EAAE,WAAW,EAAE,CAACiB,CAAC,EAAE,OAAOjB,EAAE,UAAU,CAAC,CAAC,KAAK,gBAAgB,EAAE,IAAIP,EAAEO,EAAE,MAAMP,GAAG,OAAOA,EAAEO,EAAE,YAAYP,GAAG,OAAOA,EAAE,WAAW,KAAK,MAAMA,CAAC,CAACO,EAAE,SAAS,KAAK,KAAK,eAAeA,EAAE,QAAQ,KAAK,eAAe,KAAK,KAAK,UAAU,KAAK,KAAK,0BAA0B,EAAE,CAAC,OAAO,QAAQA,EAAEZ,EAAE,CAAC,OAAOY,EAAE,KAAK,OAAOZ,EAAE,SAAS,CAAC,CAAC,eAAeY,EAAEZ,EAAE,CAAC,GAAG,KAAK,aAAa,SAAS,EAAE,MAAM,IAAI6lD,GAAG,2DAA2D7lD,IAAI,EAAE,GAAG,KAAK,aAAa,QAAQY,EAAE,MAAM,IAAIklD,EAAE,gBAAgB9lD,aAAaY,6BAA6B,KAAK,aAAa,uBAAuB,EAAE,OAAO,KAAK,aAAaA,EAAE,CAAC,WAAWA,EAAE,CAAC,OAAOylD,GAAG,KAAK,eAAezlD,EAAE,OAAO,EAAE,YAAY,CAAC,CAAC,YAAYA,EAAE,CAAC,OAAOylD,GAAG,KAAK,eAAezlD,EAAE,QAAQ,EAAE,aAAa,CAAC,CAAC,IAAI,OAAO,CAAC,GAAG,KAAK,aAAa,OAAO,EAAE,MAAM,IAAIglD,GAAG,SAAS,KAAK,2HAA2H,EAAE,GAAG,KAAK,aAAa,SAAS,EAAE,MAAM,IAAIA,GAAG,SAAS,KAAK,4CAA4C,EAAE,OAAOS,GAAG,KAAK,eAAe,EAAE,OAAO,EAAE,YAAY,CAAC,CAAC,IAAI,QAAQ,CAAC,GAAG,KAAK,aAAa,SAAS,EAAE,MAAM,IAAIT,GAAG,SAAS,KAAK,4BAA4B,EAAE,GAAG,KAAK,aAAa,OAAO,EAAE,MAAM,IAAIA,GAAG,SAAS,KAAK,6HAA6H,EAAE,OAAOS,GAAG,KAAK,eAAe,EAAE,QAAQ,EAAE,aAAa,CAAC,CAAC,IAAI,QAAQ,CAAC,OAAO,KAAK,OAAO,CAAC,iBAAiB,CAAC,OAAO,KAAK,OAAO,IAAIzlD,GAAGA,EAAE,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,OAAO,KAAK,QAAQ,CAAC,IAAI,OAAO,CAAC,OAAO,KAAK,MAAM,CAAC,IAAI,MAAMA,EAAE,CAAC,KAAK,OAAOA,CAAC,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,UAAU,CAAC,IAAI,UAAUA,EAAE,CAAC,KAAK,kBAAkB,QAAQZ,GAAGA,EAAE,UAAUY,CAAC,EAAE,KAAK,WAAWA,CAAC,CAAC,IAAI,kBAAkB,CAAC,OAAO,KAAK,WAAW,KAAK,kBAAkB,OAAOA,GAAGA,EAAE,SAAS,EAAE,CAAC,CAAC,CAAC,IAAI,iBAAiBA,EAAE,CAAC,KAAK,kBAAkBA,CAAC,CAAC,IAAI,qBAAqB,CAAC,OAAO,KAAK,UAAU,KAAK,kBAAkB,OAAOA,GAAG,CAACA,EAAE,SAAS,EAAE,OAAO,KAAK,oBAAoB,EAAE,KAAK,kBAAkB,OAAO,KAAK,oBAAoB,CAAC,CAAC,IAAI,oBAAoBA,EAAE,CAAC,KAAK,qBAAqBA,CAAC,CAAC,IAAI,SAAS,CAAC,OAAO,KAAK,iBAAiB,OAAO,KAAK,mBAAmB,CAAC,CAAC,IAAI,UAAU,CAAC,OAAO,KAAK,SAAS,CAAC,aAAa,CAAC,GAAG,CAAC,KAAK,SAAS,MAAM,IAAI,MAAM,sEAAsE,CAAC,CAAC,yBAAyBA,EAAE,CAAC,GAAGA,EAAE0lD,GAAG1lD,CAAC,EAAE,KAAK,WAAW,MAAM,KAAK,UAAU,SAAS,EAAE,OAAO,IAAIZ,EAAEsmD,GAAG,KAAK,SAAS,EAAE,GAAG1lD,EAAE,SAASZ,EAAE,OAAO,MAAM,IAAI8lD,EAAE,SAAS,KAAK,gBAAgB9lD,EAAE,kCAAkCY,EAAE,yCAAyCA,GAAG,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,IAAI,CAAC,IAAIP,EAAEO,EAAE,GAAGiB,EAAE7B,EAAE,GAAG,GAAG6B,GAAG,KAAK,SAAS,IAAIC,EAAEzB,EAAE,KAAK,GAAGwB,EAAE,MAAM,MAAMC,IAAID,EAAE,KAAK,MAAM,IAAIikD,EAAE,SAAS,gCAAgC,KAAK,uBAAuBjkD,EAAE,oBAAoBC,GAAG,EAAE,GAAGD,EAAE,SAAS,MAAMC,EAAED,EAAE,QAAQ,MAAM,IAAIikD,EAAE,SAAS,gCAAgC,KAAK,2BAA2BjkD,EAAE,uBAAuBC,GAAG,EAAE,GAAGD,EAAE,SAAS,MAAMC,EAAED,EAAE,QAAQ,MAAM,IAAIikD,EAAE,SAAS,gCAAgC,KAAK,2BAA2BjkD,EAAE,uBAAuBC,IAAI,EAAE,GAAGD,EAAE,OAAO,MAAMxB,EAAE,QAAQwB,EAAE,MAAM,MAAM,IAAIikD,EAAE,SAAS,gCAAgC,KAAK,yBAAyBjkD,EAAE,sBAAsBxB,EAAE,QAAQ,EAAE,GAAGwB,EAAE,KAAK,CAAC,IAAIE,EAAE1B,EAAE,MAAM,QAAQ2B,KAAKH,EAAE,KAAK,CAAC,IAAI,EAAE,OAAOG,CAAC,EAAEU,EAAEb,EAAE,KAAKG,GAAG,EAAE,GAAG,EAAED,EAAE,GAAGA,EAAEA,EAAE,OAAO,GAAG,GAAGW,GAAG,MAAM,CAACA,EAAE,IAAI,EAAE,QAAQ,CAAC,IAAI,GAAG,MAAM,IAAIojD,EAAE,SAAS,gCAAgC,KAAK,uBAAuB,kCAAkCpjD,mBAAmBX,IAAI,CAAC,CAAC,CAAC,GAAGF,EAAE,OAAO,KAAK,QAAQE,EAAE,EAAEA,EAAEF,EAAE,MAAM,OAAO,EAAEE,EAAE,CAAC,IAAIC,EAAEH,EAAE,MAAME,GAAG,EAAE1B,EAAE,MAAM0B,GAAG,GAAGC,GAAG,MAAM,GAAG,MAAMA,IAAI,EAAE,MAAM,IAAI8jD,EAAE,SAAS,gCAAgC,KAAK,wBAAwBjkD,EAAE,sBAAsBxB,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,KAAKO,EAAEZ,EAAE,CAAC,OAAOY,CAAC,CAAC,eAAeA,EAAEZ,EAAE,CAAC,KAAK,WAAW,MAAM,KAAK,UAAUY,EAAEZ,CAAC,CAAC,CAAC,YAAYY,EAAE,CAAC,KAAK,UAAUA,CAAC,CAAC,eAAe,CAAC,KAAK,UAAU,IAAI,CAAC,MAAMA,EAAEZ,EAAE,CAACA,EAAEA,GAAG,CAAC,EAAE,KAAK,kBAAkB,EAAE,IAAI,EAAEsmD,GAAG1lD,CAAC,EAAEP,EAAE,GAAG,QAAQyB,KAAK,EAAE,GAAG,EAAEA,aAAairD,IAAI,CAAC1sD,EAAE,GAAG,KAAK,CAAC,IAAIwB,EAAE,GAAG,QAAQC,KAAK,EAAE,GAAGA,aAAairD,GAAG,CAAClrD,EAAE,GAAG,KAAK,CAAC,GAAGxB,IAAIwB,EAAE,MAAM,IAAIikD,EAAE,iEAAiE,EAAE,OAAOyC,GAAG,KAAK,KAAK,IAAI,CAAC,GAAG,CAAC,KAAK,MAAM,CAAC,KAAK,yBAAyB3nD,CAAC,EAAE,IAAIkB,EAAE,CAAC,EAAE,QAAQC,KAAKukD,GAAG1lD,CAAC,EAAEkB,EAAE,KAAKC,EAAE,KAAK,EAAE,KAAK,MAAMskD,GAAGvkD,CAAC,CAAC,EAAE,KAAK,MAAM,GAAG,KAAK,gBAAgB,KAAK,WAAW,KAAK,cAAc,EAAE,KAAK,YAAY,MAAMD,IAAI,KAAK,UAAU,EAAE,CAAC,GAAG,KAAK,yBAAyBjB,CAAC,EAAEiB,EAAE,CAAC,IAAIC,EAAE,KAAK,KAAKlB,EAAEZ,CAAC,EAAE+B,EAAEukD,GAAGxkD,CAAC,EAAEE,EAAE,CAAC,EAAE,QAAQ,KAAKD,EAAE,EAAE,QAAQ,CAAC,IAAI,KAAK,EAAE,EAAE,MAAM,GAAGC,EAAE,KAAK,CAAC,EAAE,GAAGF,EAAEukD,GAAGrkD,CAAC,EAAE,KAAK,qBAAqB,KAAK,MAAM,IAAI+jD,GAAG,mFAAmF,EAAE,OAAOjkD,CAAC,KAAK,CAAC,IAAIA,EAAEsrD,GAAGxsD,CAAC,EAAEmB,EAAE,KAAK,mBAAmBD,CAAC,EAAEE,EAAE,EAAEqrD,GAAGzsD,CAAC,EAAE,GAAG,KAAK,6BAA6B,MAAM,QAAQA,CAAC,EAAEkB,EAAE,GAAGA,CAAC,EAAEC,GAAG,MAAMA,EAAE,OAAO,GAAG,MAAM,QAAQA,EAAE,EAAE,EAAEC,EAAED,EAAE,IAAI,CAACW,EAAE,IAAI,IAAIqqD,GAAG,EAAErqD,EAAE,KAAK4jD,GAAG1lD,CAAC,EAAEZ,EAAE,KAAK,KAAK,CAAC,CAAC,EAAEgC,EAAE,IAAI+qD,GAAG,EAAEhrD,EAAE,KAAKukD,GAAG1lD,CAAC,EAAEZ,EAAE,KAAK,IAAI,EAAE,KAAK,eAAeY,EAAEoB,EAAE,KAAK,KAAKF,EAAEC,EAAE/B,CAAC,EAAE,KAAK,YAAY,KAAK,qBAAqB,KAAK,MAAM,IAAI+lD,GAAG,mFAAmF,EAAE,OAAO/jD,CAAC,CAAC,CAAC,CAAC,CAAC,6BAA6BpB,EAAE,CAAC,GAAG,KAAK,iBAAiB,KAAK,GAAGA,EAAE,SAAS,KAAK,gBAAgB,OAAO,QAAQ,KAAK,iDAAiD,KAAK,UAAUA,CAAC,kDAAkD,KAAK,UAAU,KAAK,eAAe,mBAAmB,KAAK,MAAM,MAAM,CAAC,IAAIZ,EAAE,GAAG,KAAK,gBAAgB,QAAQ,CAAC,EAAEK,IAAI,CAAC,GAAG,MAAMO,EAAEP,IAAI,MAAMO,EAAEP,KAAK,IAAIL,EAAE,GAAG,CAAC,EAAEA,GAAG,QAAQ,KAAK,kCAAkC,KAAK,UAAUY,CAAC,8CAA8C,KAAK,SAAS,KAAK,UAAU,KAAK,eAAe,GAAG,CAAC,CAAC,CAAC,IAAI,aAAa,CAAC,GAAG,KAAK,cAAc,MAAM,KAAK,aAAa,SAAS,EAAE,MAAM,IAAIglD,GAAG,aAAa,KAAK,kEAAkE,EAAE,IAAIhlD,EAAE,CAAC,EAAE,QAAQZ,KAAK,KAAK,aAAa,CAAC,IAAI,EAAE,KAAK,UAAUA,EAAE,YAAY,EAAEY,EAAE,QAAQ,CAAC,IAAI,IAAIA,EAAE,KAAK,CAAC,CAAC,CAAC,GAAGA,EAAE,SAAS,EAAE,CAAC,IAAIZ,EAAE,KAAK,aAAa,GAAG,aAAa,OAAO,MAAM,QAAQA,CAAC,GAAG,MAAM,QAAQA,EAAE,EAAE,GAAGA,EAAE,SAAS,EAAEA,EAAE,GAAGA,CAAC,KAAM,OAAM,IAAI4lD,GAAG,aAAa,KAAK,gIAAgI,CAAC,CAAC,aAAa,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,IAAIC,GAAG,sCAAsC,KAAK,yFAAyF,EAAE,OAAO2G,GAAG,KAAK,OAAO,CAAC,CAAC,MAAM5rD,EAAE,CAAC,KAAK,MAAM,EAAE,CAAC,WAAWA,EAAE,GAAG,CAAC,OAAOgsD,GAAGhsD,EAAE,KAAK,iBAAiB,KAAK,OAAO,CAAC,CAAC,WAAWA,EAAE,CAAC2yB,EAAE,IAAI,CAAC,IAAIvzB,EAAE,KAAK,QAAQ,GAAGA,EAAE,SAASY,EAAE,OAAO,MAAM,IAAIklD,EAAE,4CAA4C,KAAK,sCAAsCllD,EAAE,uCAAuCZ,EAAE,qCAAqCY,MAAM,EAAE,GAAGZ,EAAE,SAAS,EAAE,OAAO,IAAI,EAAE,CAAC,EAAEK,EAAEusD,GAAG5sD,CAAC,EAAE,QAAQ6B,EAAE,EAAEA,EAAExB,EAAE,OAAO,EAAEwB,EAAE,CAAC,IAAIC,EAAEzB,EAAEwB,GAAGE,EAAE/B,EAAE6B,GAAGG,EAAEpB,EAAEiB,GAAG,GAAG,CAAC+kB,EAAE,YAAY9kB,EAAE,MAAME,EAAE,KAAK,EAAE,MAAM,IAAI8jD,EAAE,sBAAsBhkD,EAAE,mDAAmDE,EAAE,OAAO,EAAE,EAAE,KAAK,CAACD,EAAEC,CAAC,CAAC,CAAC,CAAC6qD,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,UAAUjsD,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAEC,EAAEC,EAAE,CAAC,GAAG,KAAK,kBAAkB,QAAQpB,CAAC,IAAI,GAAG,MAAM,IAAIklD,EAAE,yBAAyBllD,eAAe,KAAK,MAAM,EAAE,KAAK,kBAAkB,KAAKA,CAAC,EAAE,GAAG,OAAO,EAAE,WAAW,KAAK,4BAA4BP,EAAE2B,GAAG,KAAKA,EAAE,EAAEmqD,GAAG,OAAO,GAAG,IAAI,EAAE9rD,EAAE,MAAML,EAAE,CAAC,EAAE0C,EAAE,IAAIgqD,GAAG,EAAE,EAAE9rD,EAAEkB,EAAEC,CAAC,EAAE,OAAO,EAAE,QAAQ,EAAEF,GAAG,MAAM,KAAK,QAAQ,IAAIA,EAAE,MAAMa,EAAE,KAAK,CAAC,CAAC,EAAEZ,GAAG,OAAOA,EAAE,IAAIA,EAAE,KAAK,kBAAkB,KAAKY,CAAC,EAAE,KAAK,qBAAqB,KAAKA,CAAC,EAAEA,CAAC,CAAC,6BAA6B9B,EAAE,CAAC,KAAK,0BAA0BA,CAAC,CAAC,QAAQA,EAAE,CAACA,GAAG,MAAM,MAAM,QAAQA,CAAC,GAAGA,EAAE,SAAS,IAAIA,EAAE0lD,GAAG1lD,CAAC,EAAE,KAAK,UAAU,QAAQ,KAAK,UAAU,MAAM,KAAK,OAAO,KAAK,GAAGA,CAAC,EAAE,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,CAAC,CAAC,YAAYA,EAAEZ,EAAE,CAAC,GAAG,CAAC,KAAK,gBAAgB,CAAC,GAAGA,GAAG,KAAK,GAAG,MAAM,QAAQA,CAAC,EAAEA,EAAE,QAAQ,GAAG,CAAC,GAAG,GAAG,KAAK,MAAM,IAAI,UAAU,SAAS,KAAK,6DAA6D,CAAC,CAAC,MAAO,OAAM,IAAI,UAAU,SAAS,KAAK,6DAA6D,EAAE,OAAO,IAAI,CAAC,OAAOA,CAAC,CAAC,eAAeY,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAEC,EAAE,KAAK,CAAC,IAAIC,EAAEskD,GAAG1lD,CAAC,EAAEZ,EAAEsmD,GAAGtmD,CAAC,EAAE,EAAEsmD,GAAG,CAAC,EAAEjmD,EAAEimD,GAAGjmD,CAAC,EAAEwB,EAAEwqD,GAAGxqD,CAAC,EAAEC,EAAEuqD,GAAGvqD,CAAC,EAAE,IAAI,EAAE,CAAC,EAAEY,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQE,KAAKZ,EAAE,EAAE,KAAKY,EAAE,WAAW,EAAEF,EAAE,KAAKE,EAAE,SAAS,EAAE,EAAE,KAAKA,EAAE,WAAW,EAAE,IAAIqqD,GAAG,CAAC,cAAc,KAAK,cAAc,EAAE,YAAYvqD,EAAE,cAAc,EAAE,aAAaV,EAAE,cAAchC,EAAE,WAAW,EAAE,YAAYK,EAAE,YAAYwB,EAAE,aAAaC,CAAC,EAAEC,CAAC,EAAE,QAAQa,EAAE,EAAEA,EAAE5C,EAAE,OAAO4C,IAAI5C,EAAE4C,GAAG,YAAY,KAAK5C,EAAE4C,GAAG,UAAU,KAAK,aAAa,OAAO,EAAE5C,EAAE4C,GAAG,YAAYA,CAAC,CAAC,WAAW,CAAC,IAAIhC,EAAE,CAAC,KAAK,KAAK,KAAK,UAAU,KAAK,SAAS,EAAE,OAAO,KAAK,iBAAiB,OAAOA,EAAE,gBAAgB,KAAK,iBAAiB,KAAK,OAAO,OAAOA,EAAE,MAAM,KAAK,OAAOA,CAAC,CAAC,gBAAgB,CAAC,OAAO,KAAK,QAAQ,QAAQA,GAAGA,EAAE,QAAQ,CAAC,EAAE,KAAK,QAAQ,MAAM,CAAC,mBAAmB,CAAC,GAAG,KAAK,YAAY,EAAE,MAAM,IAAI,MAAM,UAAU,KAAK,4BAA4B,CAAC,CAAC,SAAS,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,IAAI,MAAM,wBAAwB,KAAK,yCAAyC,EAAE,GAAG,KAAK,YAAY,KAAK,MAAM,IAAI,MAAM,wBAAwB,KAAK,wCAAwC,EAAE,KAAK,kBAAkB,EAAE,IAAIA,EAAE,EAAE,MAAM,EAAE,KAAK,YAAY,IAAIA,EAAE,KAAK,eAAe,GAAG,CAAC,qBAAqB,KAAK,UAAU,qBAAqBA,CAAC,CAAC,CAAC,EAAE,SAASwsD,GAAGttD,EAAE,CAACA,EAAEwmD,GAAGxmD,CAAC,EAAE,IAAI,EAAE,CAAC,EAAE,QAAQE,KAAKF,EAAE,EAAE,KAAKE,EAAE,KAAK,EAAE,OAAOqmD,GAAG,CAAC,CAAC,CAAC,SAASgH,GAAGvtD,EAAE,CAAC,MAAM,SAAS,CAAC,SAASwtD,GAAGxtD,EAAE,EAAEE,EAAE,CAAC,IAAI,GAAG,MAAMA,GAAG,MAAMA,EAAE,KAAK,EAAEF,EAAE,YAAYE,EAAEF,EAAE,WAAW,EAAE,aAAa,SAAS,EAAE,MAAM,CAACA,CAAC,EAAE,CAAC,IAAIM,EAAE,EAAE,aAAaJ,GAAG,GAAGI,EAAE,cAAc,SAAS,EAAE,OAAOA,EAAE,aAAa,CAAC,IAAIC,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAED,EAAE,cAAc,OAAO,IAAI,CAAC,IAAI,EAAEA,EAAE,aAAa,GAAG2B,EAAE3B,EAAE,cAAc,GAAG4B,EAAE5B,EAAE,YAAY,GAAG6B,EAAEqrD,GAAG,EAAEvrD,EAAEC,CAAC,EAAE,QAAQU,KAAKT,EAAE5B,EAAE,QAAQqC,CAAC,IAAI,IAAIrC,EAAE,KAAKqC,CAAC,CAAC,CAAC,OAAOrC,CAAC,CAAC,CAAC,CAAC,IAAIktD,GAAG,cAAcJ,EAAE,CAAC,YAAYvsD,EAAE,CAAC,GAAG,MAAM,CAAC,MAAMA,EAAE,MAAM,KAAKA,EAAE,MAAM,KAAKA,EAAE,KAAK8mD,GAAG,OAAO,EAAE,SAAS,CAAC,CAAC,EAAE9mD,EAAE,WAAW,OAAOA,EAAE,UAAU,MAAMA,EAAE,QAAQ,OAAOA,EAAE,OAAO,IAAI,KAAK,UAAU,GAAG,KAAK,MAAM,GAAG,KAAK,OAAOA,EAAE,OAAOA,EAAE,YAAY,MAAMA,EAAE,iBAAiB,KAAK,MAAM,IAAIklD,EAAE,mGAAmG,EAAE,IAAI9lD,EAAEY,EAAE,gBAAgB,GAAGZ,GAAG,KAAK,CAAC,GAAGY,EAAE,YAAY,KAAK,MAAM,IAAIklD,EAAE,+EAA+E,EAAE9lD,EAAE,CAACY,EAAE,SAAS,EAAE,OAAOA,EAAE,UAAU,CAAC,SAASA,EAAE,WAAW,KAAK,MAAM,IAAIklD,EAAE,uFAAuF,EAAE,IAAI,EAAEllD,EAAE,OAAO,UAAU,KAAK,gBAAgBZ,EAAE,KAAK,MAAM,EAAE,KAAK,UAAU,CAAC,CAAC,MAAMA,CAAC,CAAC,EAAE,IAAIK,EAAE,IAAI0sD,GAAG,KAAK,MAAM,KAAK,gBAAgB,KAAK,CAAC,EAAE,CAAC,EAAE,KAAK,IAAI,EAAE1sD,EAAE,UAAU,EAAEA,EAAE,YAAY,EAAE,IAAI4sD,GAAG,CAAC,cAAc,KAAK,cAAc,CAAC,EAAE,YAAY,CAAC,EAAE,cAAc,CAAC,EAAE,aAAa,CAAC5sD,CAAC,EAAE,cAAc,CAACA,CAAC,EAAE,WAAW,CAAC,IAAI,EAAE,YAAY,CAAC,IAAI,EAAE,YAAY,CAACL,CAAC,EAAE,aAAa,CAACA,CAAC,CAAC,CAAC,CAAC,CAAC,MAAMY,EAAEZ,EAAE,CAAC,MAAM,IAAI8lD,EAAE,6EAA6E,KAAK,MAAM,CAAC,CAAC,SAAS,CAAC,MAAM,CAAC,qBAAqB,KAAK,UAAU,qBAAqB,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,gBAAgB,KAAK,gBAAgB,MAAM,KAAK,MAAM,OAAO,KAAK,OAAO,KAAK,KAAK,IAAI,CAAC,CAAC,EAAEyH,GAAG,UAAU,aAAah2B,GAAE,cAAcg2B,EAAE,EAAE,SAASC,GAAG1tD,EAAE,CAAC,GAAGA,EAAE,YAAY,MAAMA,EAAE,OAAO,KAAK,MAAM,IAAI,MAAM,8HAA8H,EAAE,GAAGA,EAAE,YAAY,MAAMA,EAAE,OAAO,KAAK,MAAM,IAAIgmD,EAAE,kFAAkF,EAAE,IAAI,EAAEhmD,EAAE,WAAWA,EAAE,OAAO,MAAM,GAAG,OAAO,EAAE,CAAC,IAAI,EAAE,OAAOA,EAAE,KAAK,GAAG,IAAIE,EAAEF,EAAE,MAAM,OAAOE,GAAG,OAAOA,EAAE,WAAW,IAAIutD,GAAG,CAAC,gBAAgB,EAAE,KAAKztD,EAAE,KAAK,MAAME,EAAE,OAAOF,EAAE,MAAM,CAAC,EAAE,aAAa,GAAG,cAAc,EAAE,CAAC,SAAS2tD,GAAG3tD,EAAE,EAAE,CAAC,GAAGA,EAAE,OAAO,MAAMA,EAAE,QAAQ,EAAE,MAAM,OAAO,EAAE,GAAG,CAAC,OAAOywB,GAAE,EAAEzwB,EAAE,KAAK,CAAC,OAAOE,EAAN,CAAS,MAAM,IAAI8lD,EAAE,0BAA0B,EAAE,mDAAmDhmD,EAAE,UAAUA,EAAE,SAAS,CAAC,CAAC,CAAC,IAAI4tD,GAAG,KAAK,CAAC,YAAY9sD,EAAE,CAAC,GAAG,KAAK,SAAS,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAEA,aAAa8sD,GAAG,QAAQ1tD,KAAKY,EAAE,SAAS,KAAK,SAASZ,GAAGY,EAAE,SAASZ,GAAGA,KAAKY,EAAE,UAAU,KAAK,QAAQZ,GAAGY,EAAE,QAAQZ,QAAQ,CAAC,GAAGY,GAAG,KAAK,OAAO,QAAQZ,KAAKY,EAAE,KAAK,IAAIZ,EAAE,IAAIA,EAAE,KAAK,CAAC,CAAC,CAAC,IAAIY,EAAEZ,EAAE,EAAE,CAAC,GAAG,KAAK,SAASY,EAAE,KAAK,KAAK,KAAK,SAASA,EAAE,IAAI6sD,GAAG7sD,EAAEZ,CAAC,EAAE,KAAK,QAAQY,EAAE,MAAMA,EAAE,GAAG,GAAG,OAAO,KAAK,QAAQA,EAAE,IAAI,OAAQ,OAAM,IAAIklD,EAAE,uBAAuBllD,EAAE,YAAYA,EAAE,IAAI,EAAE,OAAO,IAAI,CAAC,QAAQA,EAAE,CAAC,KAAK,IAAIA,EAAE,IAAIA,EAAE,KAAK,CAAC,CAAC,OAAOA,EAAE,CAAC,OAAO,KAAK,SAASA,EAAE,KAAK,IAAI,CAAC,OAAO,CAAC,OAAO,OAAO,KAAK,KAAK,OAAO,CAAC,CAAC,SAASA,EAAE,CAAC,GAAGA,aAAamsD,GAAG,CAAC,GAAG,KAAK,SAASnsD,EAAE,KAAK,KAAK,MAAM,IAAIklD,EAAE,oBAAoBllD,EAAE,MAAM,EAAE,OAAO,KAAK,SAASA,EAAE,GAAG,KAAK,CAAC,IAAIZ,EAAE,KAAK,QAAQY,GAAG,GAAGZ,GAAG,KAAK,MAAM,IAAI8lD,EAAE,yCAAyCllD,GAAG,EAAE,OAAO,KAAK,SAASZ,EAAE,CAAC,CAAC,QAAQY,EAAE,CAAC,GAAGA,aAAamsD,GAAG,CAAC,GAAG,KAAK,SAASnsD,EAAE,KAAK,KAAK,MAAM,IAAIklD,EAAE,oBAAoBllD,EAAE,MAAM,EAAE,OAAO,KAAK,QAAQA,EAAE,GAAG,KAAK,CAAC,IAAIZ,EAAE,KAAK,QAAQY,GAAG,GAAGZ,GAAG,KAAK,MAAM,IAAI8lD,EAAE,yCAAyCllD,GAAG,EAAE,OAAO,KAAK,QAAQZ,EAAE,CAAC,CAAC,cAAc,CAAC,KAAK,SAAS,MAAMwzB,GAAG,KAAK,OAAO,CAAC,CAAC,EAAEm6B,GAAG,IAAI1H,GAAG2H,GAAG,IAAI3H,GAAG,SAAS4H,GAAG/tD,EAAE,CAAC6tD,IAAI,MAAMA,GAAG,cAAc7tD,CAAC,EAAE8tD,IAAI,MAAMA,GAAG,cAAc9tD,CAAC,CAAC,CAAC,SAASguD,GAAGhuD,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEL,GAAG,KAAK,GAAGA,EAAE,SAAS,EAAE,MAAM,QAAQF,CAAC,EAAE,EAAE,EAAEA,EAAE,CAACA,CAAC,EAAEiC,EAAE,EAAE,IAAIe,GAAGA,EAAE,IAAI,EAAEd,EAAE,CAAC,EAAEC,EAAE,EAAE,MAAM,EAAE,QAAQa,KAAKf,EAAEE,EAAE,QAAQa,CAAC,IAAI,GAAGd,EAAE,KAAK,EAAE,SAASc,CAAC,CAAC,EAAEd,EAAE,KAAK,IAAI,EAAE5B,GAAG,OAAOA,EAAE,cAAc,GAAG,EAAEA,EAAE,cAAc,EAAE,GAAG,IAAIsC,EAAEX,EAAE,KAAK,GAAG,EAAE,IAAI,EAAE,MAAM,EAAE,KAAK,EAAE,KAAK,GAAG,EAAEY,EAAEgrD,GAAG,IAAIjrD,CAAC,EAAEE,EAAE,GAAGD,GAAG,KAAK,CAAC,IAAIG,EAAEirD,GAAG,EAAE,CAAC,EAAEprD,EAAEG,EAAE,OAAOF,EAAEE,EAAE,gBAAgB6qD,GAAG,IAAIjrD,EAAEC,CAAC,EAAEirD,GAAG,IAAIlrD,EAAEE,CAAC,CAAC,CAACA,EAAE,CAAC,EAAEvC,GAAG,OAAO,OAAOuC,EAAEgrD,GAAG,IAAIlrD,CAAC,CAAC,EAAE,IAAIG,EAAE,IAAI6qD,GAAG,CAAC,EAAE,QAAQ5qD,EAAE,EAAEA,EAAEH,EAAE,OAAO,EAAEG,EAAE,CAAC,GAAG1C,GAAG,KAAK,CAAC,IAAImH,EAAE8rB,GAAG,EAAE,WAAW9rB,EAAEnH,EAAE,gBAAgBA,EAAE,cAAcmH,GAAGA,EAAEnH,EAAE,gBAAgBA,EAAE,cAAcmH,EAAE,CAAC,IAAIvD,EAAErB,EAAEG,GAAG,EAAEkB,EAAE,YAAY,GAAG,aAAaupD,GAAG,SAAS,IAAIlmD,EAAE,CAAC,EAAExC,EAAE,CAAC,EAAEJ,EAAE,CAAC,EAAEC,EAAE,GAAG,QAAQ6C,KAAKvD,EAAE,OAAO,CAAC,IAAIe,EAAElC,EAAE,SAAS0E,CAAC,EAAEvC,EAAEnC,EAAE,QAAQ0E,CAAC,EAAEF,EAAE,KAAKtC,CAAC,EAAEF,EAAE,KAAKG,CAAC,EAAEA,GAAG,OAAON,EAAE,IAAIrE,IAAIuC,EAAE2E,EAAE,QAAQ3E,EAAE2E,EAAE,QAAQ,GAAG,CAAC,EAAE,OAAOA,CAAC,GAAGxF,EAAE,QAAQwF,EAAE,IAAI,IAAI,IAAI,CAACxC,EAAE,YAAYwC,EAAE,YAAY,WAAW,IAAI9C,EAAE,KAAKM,CAAC,EAAE,CAACL,IAAI1E,EAAEA,GAAG,CAAC,EAAEA,EAAE,KAAK6E,EAAE,IAAI,IAAIF,EAAE2hD,GAAG,EAAE,MAAMj/C,EAAErH,CAAC,CAAC,EAAE4E,EAAE,KAAK,EAAE,kBAAkBA,EAAE,EAAE,YAAYyC,EAAExC,CAAC,GAAG,IAAIyC,EAAE0mD,GAAGhqD,CAAC,EAAEc,EAAE,MAAM,QAAQwC,CAAC,EAAEA,EAAE,CAACA,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEzC,EAAE,OAAO,EAAEyC,EAAE,CAAC1E,EAAE,OAAOiC,EAAEyC,EAAE,GAAG1E,EAAE,IAAIiC,EAAEyC,GAAG5C,EAAE4C,GAAG,MAAM,QAAQ3C,CAAC,EAAEA,EAAE,GAAGA,CAAC,EAAE,IAAIG,EAAEhD,EAAE,QAAQ+C,EAAEyC,GAAG,IAAI,EAAExC,IAAI,KAAK/C,EAAE+C,GAAGJ,EAAE4C,GAAG,CAAClH,GAAGmzB,GAAG/uB,CAAC,CAAC,CAAC,OAAO5B,EAAE,aAAa,EAAE,EAAEb,EAAEA,EAAE,EAAE,CAAC,SAAS+rD,GAAGjuD,EAAE,EAAE,CAAC8mB,EAAE,OAAO9mB,GAAG,MAAMA,EAAE,OAAO,EAAE,IAAI,uCAAuC,EAAE,IAAIE,EAAE,CAAC,EAAEI,EAAE,CAAC,EAAE,GAAGN,EAAE,SAAS,EAAE,CAAC,IAAIO,EAAE4tD,GAAGnuD,EAAE,GAAG,CAAC,EAAEE,EAAEK,EAAE,OAAOD,EAAEC,EAAE,YAAY,KAAK,CAAC,IAAIA,EAAE,IAAI,IAAI,QAAQ,KAAKP,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,aAAaiC,CAAC,EAAEksD,GAAG,EAAE,CAAC,EAAE,QAAQjsD,KAAK,EAAE3B,EAAE,IAAI2B,EAAE,IAAI,IAAIhC,EAAE,KAAKgC,CAAC,EAAE3B,EAAE,IAAI2B,EAAE,IAAI,GAAG,QAAQA,KAAKD,EAAE3B,EAAE4B,IAAI,OAAO5B,EAAE4B,GAAG,IAAI,KAAKD,EAAEC,GAAG,QAAQC,GAAG7B,EAAE4B,GAAG,IAAIC,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,OAAOjC,EAAE,gBAAgBkuD,GAAG9tD,CAAC,CAAC,CAAC,CAAC,SAAS8tD,GAAGpuD,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQE,KAAKF,EAAE,EAAEE,GAAGF,EAAEE,GAAG,KAAK,OAAO,CAAC,CAAC,SAASiuD,GAAGnuD,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,IAAII,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,QAAQ0B,KAAK,EAAE,MAAM,EAAE/B,EAAE,IAAI+B,CAAC,EAAE,IAAI,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,IAAI,EAAE,KAAKjC,CAAC,EAAE,EAAE,OAAO,GAAG,CAAC,IAAIiC,EAAE,EAAE,EAAE,OAAO,GAAG,GAAG/B,EAAE,IAAI+B,EAAE,IAAI,EAAE,CAAC,EAAE,IAAI,EAAE,QAAQ,CAAC,IAAIC,EAAE,EAAE,EAAE,OAAO,KAAK,EAAE,OAAO,EAAE,GAAGD,EAAE,OAAO,SAAS,GAAGC,EAAE,EAAE,IAAI,EAAE5B,EAAE,KAAK2B,CAAC,EAAE/B,EAAE,IAAI+B,EAAE,IAAI,EAAEC,GAAG,EAAE,IAAI,MAAM,CAAC,EAAE,KAAK,EAAE,OAAO,CAAC,EAAE,QAAQC,KAAKF,EAAE,OAAO1B,EAAE4B,EAAE,OAAO,OAAO5B,EAAE4B,EAAE,MAAM,IAAI,KAAK5B,EAAE4B,EAAE,MAAM,IAAIF,EAAE,IAAI,EAAE,CAAC/B,EAAE,IAAIiC,EAAE,IAAI,GAAG,EAAE,KAAKA,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,OAAO7B,EAAE,aAAaC,CAAC,CAAC,CAAC,SAAS2tD,GAAGluD,EAAE,CAAC,IAAI,EAAE,GAAGA,EAAE,YAAY,aAAa,SAAS,EAAE,EAAEA,EAAE,YAAY,WAAW,CAAC,IAAIE,EAAE,KAAK,QAAQI,EAAE,EAAEA,EAAEN,EAAE,YAAY,aAAa,OAAO,EAAEM,EAAE,QAAQC,KAAKP,EAAE,YAAY,aAAaM,GAAG,cAAc,GAAGC,EAAE,KAAKP,EAAE,GAAG,CAACE,EAAEI,EAAE,KAAK,CAAC,EAAEN,EAAE,YAAY,YAAYE,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,IAAImuD,GAAG5zC,EAAE,EAAE4zC,GAAG,aAAa,qCAAqC,IAAI,IAAIN,EAAE,EAAE,IAAIO,GAAG,CAAC,EAAEluD,GAAGkuD,GAAG,CAAC,QAAQ,IAAIC,GAAG,WAAW,IAAIC,GAAG,OAAO,IAAIC,GAAG,SAAS,IAAIC,EAAE,CAAC,EAAE,SAASC,GAAG3uD,EAAE,EAAE,CAAC,OAAOyzB,EAAE,IAAIsP,GAAGI,GAAG/J,EAAEp5B,EAAEA,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI4uD,GAAG,cAAcn3B,GAAE,YAAY,CAAC,WAAW,CAAC,MAAM,CAAC,CAAC,CAAC,EAAEo3B,GAAG,cAAcD,EAAE,CAAC,YAAY9tD,EAAE,CAAC,MAAM,EAAE,KAAK,gBAAgB,EAAE,KAAK,YAAY,EAAE,KAAK,SAASA,EAAE,UAAU,KAAKA,EAAE,SAAS,KAAK,gBAAgB,KAAK,KAAKA,EAAE,MAAM,KAAKA,EAAE,KAAK,KAAK,WAAW,CAAC,MAAMA,EAAE,CAAC,OAAO2yB,EAAE,IAAI,CAAC,IAAIvzB,EAAEyuD,GAAG7tD,EAAE,KAAK,IAAI,EAAE,EAAEw9B,GAAGp+B,EAAE,EAAE,KAAK,QAAQ,EAAE,OAAOk5B,EAAEt4B,EAAEo4B,GAAG,EAAEJ,EAAEuwB,GAAG,EAAEnpD,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,SAAS,KAAK,SAAS,KAAK,KAAK,IAAI,CAAC,CAAC,EAAE2uD,GAAG,UAAU,UAAUp3B,GAAE,cAAco3B,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAY9tD,EAAE,CAAC,MAAM,EAAE,KAAK,YAAY,EAAE,KAAK,KAAKA,EAAE,MAAM,KAAKA,EAAE,KAAK,KAAK,WAAW,CAAC,MAAMA,EAAE,CAAC,OAAO2yB,EAAE,IAAIyF,GAAGp4B,EAAEg4B,EAAEuwB,GAAG,EAAEsF,GAAG7tD,EAAE,KAAK,IAAI,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,KAAK,KAAK,IAAI,CAAC,CAAC,EAAEguD,GAAG,UAAU,WAAWr3B,GAAE,cAAcq3B,EAAE,EAAE,IAAIC,GAAG,cAAcH,EAAE,CAAC,MAAM9tD,EAAE,CAAC,OAAOwrC,GAAGxrC,CAAC,CAAC,CAAC,EAAEiuD,GAAG,UAAU,SAASt3B,GAAE,cAAcs3B,EAAE,EAAE,IAAIC,GAAG,cAAcJ,EAAE,CAAC,YAAY9tD,EAAE,CAAC,MAAM,EAAE,KAAK,gBAAgB,EAAE,KAAK,gBAAgB,EAAE,KAAK,YAAY,EAAE,KAAK,YAAY,EAAE,KAAK,SAASA,EAAE,UAAU,KAAKA,EAAE,SAAS,KAAK,gBAAgB,KAAK,SAASA,EAAE,UAAU,KAAKA,EAAE,SAAS,KAAK,gBAAgB,KAAK,KAAKA,EAAE,MAAM,KAAKA,EAAE,KAAK,KAAK,YAAY,KAAK,KAAKA,EAAE,MAAM,KAAKA,EAAE,KAAK,KAAK,WAAW,CAAC,MAAMA,EAAE,CAAC,OAAO2yB,EAAE,IAAI,CAAC,IAAIvzB,EAAEyuD,GAAG7tD,EAAE,KAAK,IAAI,EAAE,EAAEg4B,EAAEM,EAAE,KAAK,KAAKkF,GAAGp+B,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAEk5B,EAAE,EAAE,KAAK,KAAKl5B,CAAC,CAAC,EAAE,OAAOk5B,EAAEt4B,EAAEo4B,GAAG,EAAEJ,EAAEuwB,GAAG,EAAEnpD,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,SAAS,KAAK,SAAS,SAAS,KAAK,SAAS,KAAK,KAAK,KAAK,KAAK,KAAK,IAAI,CAAC,CAAC,EAAE8uD,GAAG,UAAU,aAAav3B,GAAE,cAAcu3B,EAAE,EAAE,IAAIC,GAAG,CAAC,QAAQ,UAAU,WAAW,aAAa,OAAO,SAAS,SAAS,UAAU,EAAE,SAASC,GAAGlvD,EAAE,CAAC,OAAO4mD,GAAG5mD,CAAC,CAAC,CAAC,SAASmvD,GAAGnvD,EAAE,EAAE,CAAC,EAAE,CAAC,OAAO8mD,GAAG9mD,EAAEy3B,GAAE,iBAAiB,OAAO,EAAE,aAAa,EAAE,YAAY,CAAC,CAAC,SAAS23B,GAAGpvD,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,KAAK,GAAG,OAAOA,GAAG,SAAS,CAAC,IAAIE,EAAE,CAAC,UAAUF,KAAKivD,GAAGA,GAAGjvD,GAAGA,EAAE,OAAO,CAAC,CAAC,EAAE,OAAOmvD,GAAGjvD,CAAC,CAAC,KAAM,QAAOF,aAAa4uD,GAAG5uD,EAAEmvD,GAAGnvD,CAAC,CAAC,CAAC,SAASuuD,GAAGvuD,EAAE,CAAC,OAAO,IAAI6uD,GAAG7uD,CAAC,CAAC,CAAC,SAAS0uD,GAAG1uD,EAAE,CAAC,OAAO,IAAI8uD,GAAG9uD,CAAC,CAAC,CAAC,SAASyuD,IAAI,CAAC,OAAO,IAAIM,EAAE,CAAC,SAASP,GAAGxuD,EAAE,CAAC,OAAO,IAAIgvD,GAAGhvD,CAAC,CAAC,CAAC,IAAIqvD,GAAG,CAAC,EAAEjvD,GAAGivD,GAAG,CAAC,SAAS,IAAIC,GAAG,aAAa,IAAIC,GAAG,cAAc,IAAIC,GAAG,SAAS,IAAIC,GAAG,UAAU,IAAIC,GAAG,SAAS,IAAIC,GAAG,YAAY,IAAIC,GAAG,aAAa,IAAIC,GAAG,KAAK,IAAIC,GAAG,WAAW,IAAIC,GAAG,aAAa,IAAIC,GAAG,cAAc,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,MAAM,IAAIC,EAAE,CAAC,EAAE,SAASA,IAAI,CAAC,OAAO,IAAIlF,EAAE,CAAC,SAAS4E,IAAI,CAAC,OAAO,IAAI3E,EAAE,CAAC,SAASmE,GAAGtvD,EAAE,CAAC,OAAO,IAAIorD,GAAGprD,CAAC,CAAC,CAAC,SAASiwD,GAAGjwD,EAAE,CAAC,OAAO,IAAIqrD,GAAGrrD,CAAC,CAAC,CAAC,SAASgwD,GAAGhwD,EAAE,CAAC,OAAO,IAAIsrD,GAAGtrD,CAAC,CAAC,CAAC,SAASkwD,GAAGlwD,EAAE,CAAC,OAAO,IAAIurD,GAAGvrD,CAAC,CAAC,CAAC,SAAS2vD,GAAG3vD,EAAE,CAAC,OAAO,IAAIwrD,GAAGxrD,CAAC,CAAC,CAAC,SAASmwD,GAAGnwD,EAAE,CAAC,OAAO,IAAI0rD,GAAG1rD,CAAC,CAAC,CAAC,SAASwvD,GAAGxvD,EAAE,CAAC,OAAO,IAAI2rD,GAAG3rD,CAAC,CAAC,CAAC,SAASuvD,GAAGvvD,EAAE,CAAC,OAAO,IAAI4rD,GAAG5rD,CAAC,CAAC,CAAC,SAASyvD,GAAGzvD,EAAE,CAAC,OAAO,IAAI6rD,GAAG7rD,CAAC,CAAC,CAAC,SAAS0vD,GAAG1vD,EAAE,CAAC,OAAO,IAAI8rD,GAAG9rD,CAAC,CAAC,CAAC,SAAS4vD,GAAG5vD,EAAE,CAAC,OAAO,IAAI+rD,GAAG/rD,CAAC,CAAC,CAAC,SAAS6vD,GAAG7vD,EAAE,CAAC,OAAO,IAAIgsD,GAAGhsD,CAAC,CAAC,CAAC,SAAS+vD,GAAG/vD,EAAE,CAAC,OAAO,IAAIisD,GAAGjsD,CAAC,CAAC,CAAC,IAAIqwD,GAAG,CAAC,EAAEjwD,GAAGiwD,GAAG,CAAC,MAAM,IAAIhD,GAAG,IAAI,IAAIiD,GAAG,QAAQ,IAAIC,GAAG,WAAW,IAAIC,GAAG,IAAI,IAAIC,GAAG,aAAa,IAAIC,GAAG,QAAQ,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,UAAU,IAAIC,GAAG,UAAU,IAAIC,GAAG,UAAU,IAAIC,GAAG,aAAa,IAAIC,GAAG,aAAa,IAAIC,GAAG,aAAa,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,cAAc,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,YAAY,IAAIC,GAAG,OAAO,IAAIC,GAAG,OAAO,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,OAAO,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,WAAW,IAAIC,GAAG,eAAe,IAAIC,GAAG,WAAW,IAAIC,GAAG,MAAM,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,IAAI,IAAIC,GAAG,QAAQ,IAAIC,GAAG,IAAI,IAAIC,GAAG,UAAU,IAAIC,GAAG,QAAQ,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,cAAc,IAAIC,GAAG,uBAAuB,IAAIC,GAAG,uBAAuB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,IAAI,IAAIC,GAAG,QAAQ,IAAIC,GAAG,MAAM,IAAIC,GAAG,WAAW,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,UAAU,IAAIC,GAAG,KAAK,IAAIC,GAAG,SAAS,IAAIC,GAAG,QAAQ,IAAIC,GAAG,UAAU,IAAIC,GAAG,UAAU,IAAIC,GAAG,aAAa,IAAIC,GAAG,aAAa,IAAIC,GAAG,aAAa,IAAIC,GAAG,QAAQ,IAAIC,GAAG,QAAQ,IAAIC,GAAG,SAAS,IAAIC,GAAG,QAAQ,IAAIC,GAAG,MAAM,IAAIC,GAAG,KAAK,IAAIC,GAAG,aAAa,IAAIC,GAAG,UAAU,IAAIC,GAAG,QAAQ,IAAIC,GAAG,SAAS,IAAIC,GAAG,IAAI,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,UAAU,IAAIC,GAAG,cAAc,IAAIC,GAAG,QAAQ,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,aAAa,IAAIC,GAAG,cAAc,IAAIC,EAAE,CAAC,EAAE,eAAeC,GAAGn1D,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,IAAI,EAAE,CAAC,EAAEE,EAAE,CAAC,EAAEI,EAAE,CAAC,EAAE,QAAQC,KAAKP,EAAE,CAAC,IAAI,EAAEA,EAAEO,GAAG,GAAG,OAAO,GAAG,SAAS,CAAC,IAAI,EAAE,EAAE,EAAE,KAAK,EAAE,KAAK,CAAC,EAAEL,EAAE,KAAKK,CAAC,EAAED,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,GAAG,EAAE,OAAO,EAAE,CAAC,IAAIC,EAAE,MAAM,QAAQ,IAAI,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEP,EAAEE,EAAE,IAAIK,EAAE,GAAG,GAAGmzB,GAAGpzB,CAAC,CAAC,CAAC,CAAC,SAAS80D,GAAGp1D,EAAE,CAAC,GAAGA,GAAG,KAAK,QAAQ,KAAKA,EAAE,CAAC,IAAIE,EAAEF,EAAE,GAAG,OAAOE,GAAG,UAAUA,EAAE,QAAQ,CAAC,CAAC,CAAC,IAAIm1D,IAAI,SAASr1D,EAAE,CAACA,EAAEA,EAAE,OAAO,GAAG,SAASA,EAAEA,EAAE,QAAQ,GAAG,SAAS,GAAGq1D,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,IAAIC,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,eAAe,IAAI,CAAC,UAAUz0D,EAAE,CAAC,KAAK,OAAOA,CAAC,CAAC,MAAM,aAAaA,EAAEZ,EAAE,CAAC,CAAC,MAAM,WAAWY,EAAEZ,EAAE,CAAC,CAAC,MAAM,aAAaY,EAAEZ,EAAE,CAAC,CAAC,MAAM,WAAWY,EAAEZ,EAAE,CAAC,CAAC,MAAM,aAAaY,EAAE,CAAC,CAAC,MAAM,WAAWA,EAAE,CAAC,CAAC,SAASA,EAAE,CAAC,CAAC,EAAE00D,GAAG,KAAK,CAAC,YAAY10D,EAAEZ,EAAE,GAAG,CAACY,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,UAAUA,EAAE,KAAK,YAAYZ,CAAC,CAAC,OAAOY,EAAE,CAAC,KAAK,UAAU,KAAKA,CAAC,CAAC,CAAC,UAAUA,EAAE,CAAC,QAAQZ,KAAK,KAAK,UAAUA,EAAE,UAAUY,CAAC,CAAC,CAAC,SAASA,EAAE,CAAC,QAAQZ,KAAK,KAAK,UAAUA,EAAE,SAASY,CAAC,CAAC,CAAC,MAAM,aAAaA,EAAEZ,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,QAAQ,KAAK,KAAK,UAAU,MAAM,EAAE,aAAaY,EAAEZ,CAAC,CAAC,CAAC,MAAM,WAAWY,EAAEZ,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,QAAQ,KAAK,KAAK,UAAU,MAAM,EAAE,WAAWY,EAAEZ,CAAC,CAAC,CAAC,MAAM,aAAaY,EAAEZ,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,QAAQ,KAAK,KAAK,UAAU,MAAM,EAAE,aAAaY,EAAEZ,CAAC,CAAC,CAAC,MAAM,WAAWY,EAAEZ,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,QAAQ,KAAK,KAAK,UAAU,MAAM,EAAE,WAAWY,EAAEZ,CAAC,CAAC,CAAC,MAAM,aAAaY,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,QAAQZ,KAAK,KAAK,UAAU,MAAMA,EAAE,aAAaY,CAAC,CAAC,CAAC,MAAM,WAAWA,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,QAAQZ,KAAK,KAAK,UAAU,MAAMA,EAAE,WAAWY,CAAC,CAAC,CAAC,EAAE20D,GAAG,cAAcF,EAAE,CAAC,aAAa,CAAC,MAAM,CAAC,CAAC,MAAM,aAAaz0D,EAAE,CAAC,KAAK,KAAK,EAAE,KAAK,OAAO,CAAC,CAAC,CAAC,MAAM,WAAWA,EAAEZ,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,IAAI,EAAEA,EAAE,MAAM,KAAK,EAAEA,EAAE,KAAK,KAAK,MAAM,EAAE,QAAQK,KAAKL,EAAE,CAAC,IAAI6B,EAAE7B,EAAEK,GAAG,GAAG,OAAOwB,GAAG,SAAS,KAAK,OAAO,eAAexB,CAAC,IAAI,KAAK,OAAOA,GAAG,GAAG,KAAK,OAAOA,GAAG,KAAK,OAAOA,GAAGwB,EAAE,MAAM,CAAC,IAAIC,EAAEzB,KAAK,KAAK,OAAOyB,EAAE,KAAK,OAAOzB,GAAG,KAAK,OAAOA,GAAG,EAAE,IAAI0B,EAAEwxB,EAAE,IAAIqF,EAAE,KAAK,OAAOv4B,GAAG64B,EAAEr3B,EAAE,CAAC,CAAC,CAAC,EAAE,KAAK,OAAOxB,GAAG0B,EAAED,GAAG,MAAMA,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,MAAM,WAAWlB,EAAEZ,EAAE,CAAC,GAAGA,GAAG,KAAK,QAAQ,KAAK,KAAK,OAAO,QAAQ,KAAK,OAAO,IAAI,OAAO,OAAO,KAAK,OAAO,IAAI,SAASA,EAAE,GAAG,KAAK,OAAO,GAAG,KAAK,KAAKuzB,EAAE,IAAI,CAAC,IAAIlzB,EAAE64B,EAAEF,GAAG,EAAE,KAAK,IAAI,EAAE,KAAK,OAAO,EAAE,EAAEh5B,EAAE,GAAGK,EAAE,KAAK,OAAO,GAAG,QAAQ,EAAEozB,GAAGzzB,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,EAAEw1D,GAAG,cAAcH,EAAE,CAAC,MAAM,aAAaz0D,EAAE,CAAC,KAAK,MAAM,CAAC,EAAE,KAAK,QAAQ,CAAC,CAAC,CAAC,MAAM,WAAWA,EAAEZ,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,MAAM,KAAKY,CAAC,EAAE,QAAQ,KAAKZ,EAAE,KAAK,QAAQ,IAAI,OAAO,KAAK,QAAQ,GAAG,CAAC,GAAG,KAAK,QAAQ,GAAG,KAAKA,EAAE,EAAE,CAAC,CAAC,MAAM,UAAU,CAAC,IAAIY,EAAE,CAAC,EAAEZ,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQ6B,KAAK,KAAK,QAAQ,CAAC,IAAIC,EAAE,KAAK,QAAQD,GAAG,QAAQE,EAAE,EAAEA,EAAED,EAAE,OAAO,EAAEC,EAAE,GAAG,OAAOD,EAAEC,IAAI,SAAS,CAAC,IAAIC,EAAEF,EAAEC,GAAGnB,EAAE,KAAKoB,EAAE,KAAK,CAAC,EAAEhC,EAAE,KAAK6B,CAAC,EAAE,EAAE,KAAKE,CAAC,CAAC,CAAC,CAAC,IAAI1B,EAAE,MAAM,QAAQ,IAAIO,CAAC,EAAE,QAAQiB,EAAE,EAAEA,EAAExB,EAAE,OAAO,EAAEwB,EAAE,KAAK,QAAQ7B,EAAE6B,IAAI,EAAEA,IAAI,QAAQ,EAAE,KAAK,QAAQ7B,EAAE6B,IAAI,EAAEA,IAAIxB,EAAEwB,GAAG,EAAE,CAAC,EAAE4zD,GAAG,cAAcJ,EAAE,CAAC,YAAYz0D,EAAEZ,EAAE,CAAC,GAAG,MAAM,EAAE,KAAK,aAAa,EAAE,KAAK,QAAQY,EAAE,QAAQ,KAAK,cAAcA,EAAE,eAAey5C,GAAG,KAAK,WAAWr6C,GAAG,OAAO,KAAK,aAAa,SAAS,KAAK,WAAWo1D,IAAI,KAAK,aAAa,SAASx0D,EAAE,SAAS,KAAK,MAAM,IAAI,MAAM,iHAAiH,EAAEgmB,EAAE,SAAS,KAAK,UAAU,IAAI,KAAK,UAAUygC,GAAG,KAAK,UAAU,KAAK,IAAI,EAAE,KAAK,WAAW,KAAK,OAAO,GAAG,KAAK,WAAWzmD,EAAE,aAAa,KAAK,SAASA,EAAE,WAAW,KAAK,WAAWA,EAAE,aAAa,KAAK,SAASA,EAAE,WAAW,KAAK,WAAWA,EAAE,aAAa,KAAK,SAASA,EAAE,WAAW,KAAK,MAAMA,EAAE,OAAO,CAAC,MAAM,UAAUA,EAAEZ,EAAE,EAAE,CAAC,IAAIK,EAAE,CAAC,EAAE,KAAK,OAAO,OAAO,MAAM40D,GAAG,CAAC,EAAE50D,EAAE,KAAK,KAAK,MAAMO,EAAEZ,EAAE,CAAC,CAAC,GAAGK,EAAE,KAAK,KAAK,cAAc,CAAC,EAAE,MAAM,QAAQ,IAAIA,CAAC,CAAC,CAAC,MAAM,aAAaO,EAAEZ,EAAE,CAAC,KAAK,aAAaY,EAAE,KAAK,YAAY,OAAO,MAAMq0D,GAAGj1D,CAAC,EAAE,MAAM,KAAK,WAAWY,EAAEZ,CAAC,EAAE,CAAC,MAAM,WAAWY,EAAEZ,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,KAAK,UAAU,OAAO,MAAMi1D,GAAGj1D,CAAC,EAAE,EAAE,KAAK,KAAK,SAASY,EAAEZ,CAAC,CAAC,GAAG,KAAK,aAAa,SAAS,EAAE,KAAK,KAAK,cAAc,CAAC,EAAE,MAAM,QAAQ,IAAI,CAAC,CAAC,CAAC,MAAM,aAAaY,EAAEZ,EAAE,CAAC,KAAK,YAAY,OAAO,MAAMi1D,GAAGj1D,CAAC,EAAE,MAAM,KAAK,WAAWY,EAAEZ,CAAC,EAAE,CAAC,MAAM,WAAWY,EAAEZ,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,KAAK,UAAU,OAAO,MAAMi1D,GAAGj1D,CAAC,EAAE,EAAE,KAAK,KAAK,SAASY,EAAEZ,CAAC,CAAC,GAAG,KAAK,aAAa,QAAQ,EAAE,KAAK,KAAK,cAAc,CAAC,EAAE4mB,EAAE,SAAS,KAAK,UAAU,GAAG,EAAE,KAAK,KAAK,UAAU,KAAK,aAAahmB,EAAEZ,CAAC,CAAC,EAAE,MAAM,QAAQ,IAAI,CAAC,CAAC,CAAC,MAAM,aAAaY,EAAE,CAAC,KAAK,YAAY,OAAO,MAAMq0D,GAAGr0D,CAAC,EAAE,MAAM,KAAK,WAAWA,CAAC,EAAE,CAAC,MAAM,WAAWA,EAAE,CAAC,KAAK,UAAU,OAAO,MAAMq0D,GAAGr0D,CAAC,EAAE,MAAM,KAAK,SAASA,CAAC,EAAE,CAAC,EAAE,SAAS80D,GAAG51D,EAAE,EAAE,CAAC,OAAOA,GAAG,OAAOA,EAAE,CAAC,GAAGA,aAAau1D,GAAG,CAACv1D,CAAC,EAAE,MAAM,QAAQA,CAAC,GAAGA,EAAE,aAAau1D,GAAGv1D,EAAEwmD,GAAGxmD,CAAC,EAAE,IAAI,GAAG,IAAI21D,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,IAAIE,GAAG,KAAK,CAAC,aAAa,CAAC,CAAC,OAAO,4BAA4B/0D,EAAEZ,EAAE,CAAC4mB,EAAE,OAAOhmB,GAAG,GAAG,OAAO,UAAUA,CAAC,EAAE,IAAI,8DAA8DA,GAAG,EAAE+0D,GAAG,kBAAkB31D,CAAC,EAAE21D,GAAG,aAAa/0D,IAAI,OAAO+0D,GAAG,aAAa/0D,GAAG,CAAC,GAAG+0D,GAAG,aAAa/0D,GAAG,KAAKZ,CAAC,CAAC,CAAC,OAAO,kBAAkBY,EAAE,CAAC,QAAQZ,KAAK21D,GAAG,aAAaA,GAAG,aAAa,CAAC31D,GAAG,QAAQK,GAAG,CAAC,GAAGA,IAAIO,EAAE,MAAM,IAAIklD,EAAE,iCAAiC,CAAC,CAAC,CAAC,CAAC,OAAO,OAAO,CAAC6P,GAAG,aAAa,CAAC,CAAC,CAAC,OAAO,gBAAgB/0D,EAAE,CAAC,IAAIZ,EAAE,CAAC,EAAE,QAAQ,KAAK21D,GAAG,aAAa,CAAC,IAAIt1D,EAAE,CAAC,EAAEO,GAAGP,GAAGL,EAAE,KAAK,GAAG21D,GAAG,aAAat1D,EAAE,CAAC,CAAC,OAAOL,EAAE,IAAI,GAAG,IAAI,CAAC,CAAC,CAAC,EAAE21D,GAAG,aAAa,CAAC,EAAE,SAASC,GAAG91D,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAE,CAAC,IAAIC,EAAE,IAAIuzD,GAAG9yD,EAAE,CAAC,IAAI6yD,GAAG,GAAGI,GAAG,gBAAgB,CAAC,CAAC,EAAE71D,GAAG,MAAM4C,EAAE,KAAK,GAAG5C,CAAC,EAAE4C,EAAE,KAAKT,CAAC,EAAE,IAAIU,EAAE,IAAI2yD,GAAG5yD,CAAC,EAAE,OAAOC,EAAE,UAAU,CAAC,OAAO3C,EAAE,aAAaI,EAAE,QAAQC,EAAE,MAAM,EAAE,UAAU,EAAE,QAAQ,EAAE,aAAa0B,EAAE,QAAQC,CAAC,CAAC,EAAE,CAAC,aAAaW,EAAE,QAAQV,CAAC,CAAC,CAAC,SAAS4zD,GAAG/1D,EAAE,EAAE,CAAC,EAAEE,EAAE,GAAG,CAAC,OAAO4mD,GAAG9mD,EAAEy3B,GAAE,iBAAiB,OAAO,EAAE,aAAa,EAAE,QAAQv3B,CAAC,CAAC,CAAC,SAAS81D,GAAGh2D,EAAE,EAAE,CAAC,OAAOyzB,EAAE,IAAI,CAACzzB,EAAE,QAAQ,YAAYA,EAAEywB,GAAEzwB,EAAE,SAAS,GAAG,IAAIE,EAAEijC,GAAGmnB,GAAGtqD,CAAC,EAAE,EAAE,EAAE,EAAEM,EAAE89B,GAAGl+B,EAAE,MAAMmpD,GAAG,CAAC,EAAE9oD,EAAEwiC,GAAGmF,GAAGhoC,EAAEI,CAAC,CAAC,EAAE,OAAO44B,GAAGl5B,EAAEO,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS01D,GAAGj2D,EAAE,EAAE,CAAC,OAAOyzB,EAAE,IAAI2U,GAAGkiB,GAAG5jB,GAAG,EAAE1mC,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,SAASk2D,GAAGl2D,EAAE,EAAE,CAAC,OAAOyzB,EAAE,IAAI2U,GAAG9O,GAAGoN,GAAG,EAAE1mC,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,SAASm2D,GAAGn2D,EAAE,EAAE,CAAC,OAAOyzB,EAAE,IAAI,CAAC,IAAIvzB,EAAEwmC,GAAG1mC,EAAE,CAAC,EAAEM,EAAEg+B,GAAGhF,GAAGt5B,CAAC,EAAEqpD,GAAG,EAAE,OAAO,SAAS,EAAE9oD,EAAE+4B,GAAGJ,GAAGh5B,EAAEI,CAAC,CAAC,EAAE,OAAO84B,EAAE,IAAIgP,GAAG7nC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS61D,GAAGp2D,EAAE,EAAE,CAAC,OAAOyzB,EAAE,IAAI,CAAC,IAAIvzB,EAAEo+B,GAAG,EAAE+qB,GAAG,EAAE,OAAO,SAAS,EAAE/oD,EAAEqlC,GAAG7M,EAAE,EAAE54B,CAAC,CAAC,EAAEK,EAAE+9B,GAAGt+B,EAAEqpD,GAAG,EAAE,OAAO,SAAS,EAAE,EAAE1jB,GAAG7M,EAAE,EAAEv4B,CAAC,CAAC,EAAE,OAAO6nC,GAAGkiB,GAAG5jB,GAAGpmC,EAAE,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS+1D,GAAGr2D,EAAE,EAAE,CAAC,OAAOyzB,EAAE,IAAI,CAAC,IAAIvzB,EAAEgoC,GAAG,EAAExB,GAAG,EAAEtN,EAAEp5B,EAAE,CAAC,CAAC,CAAC,EAAE,OAAOooC,GAAGkiB,GAAGpqD,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAASo2D,GAAGt2D,EAAE,EAAE,CAAC,OAAOyzB,EAAE,IAAI,CAAC,IAAIvzB,EAAEgoC,GAAG,EAAExB,GAAG,EAAEtN,EAAEp5B,EAAE,CAAC,CAAC,CAAC,EAAE,OAAOooC,GAAGloC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAASq2D,GAAGv2D,EAAE,EAAE,CAAC,OAAOyzB,EAAE,IAAI,CAAC,IAAIvzB,EAAEijC,GAAG/J,EAAEp5B,EAAE,CAAC,EAAE,EAAE,EAAEM,EAAEkiC,GAAGpJ,EAAEsN,GAAG,EAAE1mC,CAAC,EAAE,CAAC,EAAE,EAAE,EAAE,OAAOkoC,GAAG,EAAEpP,EAAE,EAAE4N,GAAGpmC,EAAEJ,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAASs2D,GAAGx2D,EAAE,EAAE,CAAC,OAAOyzB,EAAE,IAAI,CAAC,IAAIvzB,EAAE,KAAK,IAAI,CAAC,EAAEI,EAAEomC,GAAG,EAAE1mC,CAAC,EAAEO,EAAEmmC,GAAG5N,EAAEx4B,EAAEgmC,GAAGlN,EAAE,GAAG94B,CAAC,CAAC,CAAC,EAAEJ,CAAC,EAAE,OAAOkoC,GAAG7nC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAASk2D,GAAGz2D,EAAE,EAAEE,EAAE,GAAG,CAAC,OAAOuzB,EAAE,IAAI,CAAC,GAAGvzB,EAAE,EAAE0uC,GAAG,CAAC,MAAM,CAAC,IAAItuC,EAAE6iC,GAAG,EAAE,EAAE,MAAM,OAAO,EAAE,EAAE,EAAE,EAAEjK,GAAG,EAAE54B,CAAC,CAAC,CAAC,OAAO,EAAEg+B,GAAG,EAAE+qB,GAAG,EAAE,EAAEA,GAAG,CAAC,EAAE50B,GAAG0O,GAAG/J,EAAE3I,GAAEzwB,EAAE,SAAS,EAAE2lC,GAAG,CAAC,CAAC,EAAE,EAAE,MAAM,OAAO,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS+wB,GAAG12D,EAAE,EAAEE,EAAE,GAAG,CAAC,OAAOuzB,EAAE,IAAI,CAAC,IAAInzB,EAAEmwB,GAAE2T,GAAGulB,GAAG3pD,CAAC,CAAC,EAAE,OAAO,EAAE,EAAEs+B,GAAG,EAAE+qB,GAAG,EAAE,EAAEA,GAAG,CAAC,EAAE,IAAI9oD,EAAE,EAAE,MAAM,EAAE27B,EAAElJ,GAAG1yB,EAAEC,EAAEA,EAAE,OAAO,EAAE,EAAEA,CAAC,EAAE,OAAOk2D,GAAG,EAAE,EAAEv2D,CAAC,CAAC,CAAC,CAAC,CAAC,SAASy2D,GAAG32D,EAAE,EAAE,CAAC,GAAG,CAAC8mB,EAAE,YAAY9mB,EAAE,MAAM,EAAE,KAAK,EAAE,MAAM,IAAIgmD,EAAE,8DAA8D,KAAK,UAAUhmD,EAAE,KAAK,SAAS,KAAK,UAAU,EAAE,KAAK,GAAG,EAAE,OAAOyzB,EAAE,IAAI,CAAC,IAAIvzB,EAAEosC,GAAG,CAAC,EAAEhsC,EAAEm0B,GAAG6E,GAAG,CAAC,CAAC,EAAE,OAAOR,EAAE4N,GAAGxmC,EAAEk5B,EAAE,EAAEp5B,CAAC,CAAC,EAAE6lC,GAAGnC,GAAGpjC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAASs2D,GAAG52D,EAAE,EAAE,CAAC,OAAOyzB,EAAE,IAAI,CAAC,IAAIvzB,EAAE,OAAOA,EAAEo+B,GAAG,EAAE+qB,GAAG,EAAE,EAAEA,GAAG,CAAC,EAAEnpD,EAAEylC,GAAGzM,GAAGh5B,EAAEwmC,GAAG,EAAExmC,CAAC,CAAC,CAAC,EAAEkoC,GAAGuuB,GAAG32D,EAAEE,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS22D,GAAG72D,EAAE,EAAE,CAAC,OAAOyzB,EAAE,IAAI,CAAC,IAAIvzB,EAAEo+B,GAAGt+B,EAAEqpD,GAAG,EAAE,CAAC,EAAE/oD,EAAEg+B,GAAG,EAAE+qB,GAAG,EAAE,CAAC,EAAE,OAAOlmB,GAAG/J,EAAEp5B,EAAE2lC,GAAGzM,GAAGh5B,EAAEI,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAASw2D,GAAG92D,EAAE,EAAE,CAAC,OAAOyzB,EAAE,IAAI,CAAC,IAAIvzB,EAAEylC,GAAG7M,EAAEuwB,GAAG,EAAE,CAAC,CAAC,EAAE,OAAOjhB,GAAG1B,GAAG,EAAEtN,EAAEp5B,EAAEE,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS62D,GAAG/2D,EAAE,EAAE,CAAC,OAAOyzB,EAAE,IAAI,CAAC,IAAIvzB,EAAE81D,GAAGh2D,EAAE,EAAE,EAAEM,EAAE01D,GAAG,EAAE,EAAE,EAAEz1D,EAAE64B,EAAEl5B,EAAEI,CAAC,EAAE,OAAOm0B,GAAG0O,GAAG5iC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIy2D,GAAG,CAAC,iBAAiBf,GAAG,kBAAkBC,GAAG,4BAA4BC,GAAG,4BAA4BC,GAAG,aAAaC,GAAG,MAAMC,GAAG,iBAAiBC,GAAG,QAAQC,GAAG,wBAAwBC,GAAG,8BAA8BC,GAAG,mBAAmBE,GAAG,0BAA0BC,GAAG,QAAQC,GAAG,gBAAgBC,EAAE,EAAE,SAASE,GAAGj3D,EAAE,CAAC,GAAG,OAAOA,GAAG,SAAS,CAAC,GAAGA,KAAKg3D,GAAG,OAAOA,GAAGh3D,GAAG,IAAI,EAAE,gBAAgBA,IAAI,MAAMA,EAAE,YAAY,EAAE,SAAS,qBAAqB,IAAI,EAAE,gBAAgBA,yFAAyF,IAAIgmD,EAAE,CAAC,CAAC,KAAM,QAAOhmD,CAAC,CAAC,SAASk3D,GAAGl3D,EAAE,EAAE,CAAC,OAAOyzB,EAAE,IAAI,CAAC,IAAIvzB,EAAEk5B,EAAE,GAAGmQ,GAAG,CAAC,CAAC,EAAEjpC,EAAEipD,GAAG/kB,GAAG,EAAEtkC,CAAC,EAAEF,EAAE,KAAK,EAAE,OAAOooC,GAAGpH,GAAGhhC,EAAEM,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS62D,GAAGn3D,EAAE,EAAE,CAAC,OAAOyzB,EAAE,IAAI81B,GAAGvoB,GAAG9G,GAAGl6B,EAAE,EAAE,EAAEk6B,GAAG,EAAE,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,SAASk9B,GAAGp3D,EAAE,EAAE,CAAC,OAAOyzB,EAAE,IAAIhD,GAAE0S,GAAG6D,GAAGhG,GAAGhhC,EAAE,CAAC,EAAEghC,GAAG,EAAE,CAAC,CAAC,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,SAASq2B,GAAGr3D,EAAE,EAAE,CAAC,OAAOyzB,EAAE,IAAIhD,GAAE0S,GAAG6D,GAAGhG,GAAGhhC,EAAE,CAAC,EAAEghC,GAAG,EAAE,CAAC,CAAC,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,SAASs2B,GAAGt3D,EAAE,EAAE,CAAC,OAAOyzB,EAAE,IAAIhD,GAAE0S,GAAG6D,GAAGhG,GAAGhhC,EAAE,CAAC,EAAEghC,GAAG,EAAE,CAAC,CAAC,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,SAASu2B,GAAGv3D,EAAE,EAAE,CAAC,OAAOyzB,EAAE,IAAI,CAAC,IAAIvzB,EAAEk3D,GAAGp3D,EAAE,CAAC,EAAEM,EAAEg3D,GAAGt3D,EAAE,CAAC,EAAEO,EAAEu4B,EAAE54B,EAAEI,CAAC,EAAE,OAAOmwB,GAAEyQ,GAAGsD,GAAGjkC,EAAE,CAAC,EAAE24B,GAAGh5B,EAAEK,CAAC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,SAASi3D,GAAGx3D,EAAE,EAAE,CAAC,OAAOyzB,EAAE,IAAI,CAAC,IAAIvzB,EAAEk3D,GAAGp3D,EAAE,CAAC,EAAEM,EAAE+2D,GAAGr3D,EAAE,CAAC,EAAEO,EAAEu4B,EAAE54B,EAAEI,CAAC,EAAE,OAAOmwB,GAAEyQ,GAAGsD,GAAGjkC,EAAE,CAAC,EAAE24B,GAAGh5B,EAAEK,CAAC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,SAASk3D,GAAGz3D,EAAE,EAAE,CAAC,OAAO42D,GAAG52D,EAAE,CAAC,CAAC,CAAC,SAAS03D,GAAG13D,EAAE,EAAE,CAAC,OAAOA,EAAE,OAAO,EAAE,OAAOA,EAAE0vC,GAAG1vC,EAAE,CAACA,EAAE,KAAK,CAAC,CAAC,GAAG,EAAEk6B,GAAG,EAAE,EAAE,EAAE,EAAE,QAAQl6B,EAAE,QAAQ,EAAEywB,GAAE,EAAEzwB,EAAE,KAAK,GAAGywB,GAAEuQ,GAAGhhC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAI23D,GAAG1B,GAAG2B,GAAG3B,GAAG4B,GAAG3B,GAAG4B,GAAG5B,GAAG6B,GAAG5B,GAAG6B,GAAG7B,GAAG8B,GAAGxB,GAAGyB,GAAGnB,GAAGoB,GAAGzB,GAAG0B,GAAG,CAAC,eAAelB,GAAG,oBAAoBC,GAAG,UAAUI,GAAG,wBAAwBU,GAAG,8BAA8BE,GAAG,IAAIR,GAAG,IAAIC,GAAG,IAAIC,GAAG,IAAIC,GAAG,KAAKC,GAAG,KAAKC,GAAG,OAAOE,EAAE,EAAE,SAASG,GAAGr4D,EAAE,CAAC,GAAG,OAAOA,GAAG,UAAUA,KAAKo4D,GAAG,OAAOA,GAAGp4D,GAAG,GAAG,OAAOA,GAAG,UAAUA,GAAG,KAAK,OAAOA,EAAE,MAAM,IAAIgmD,EAAE,kBAAkBhmD,GAAG,CAAC,CAAC,SAASs4D,GAAGt4D,EAAE,CAAC,GAAGqmD,GAAGrmD,IAAI,KAAK,0BAA0BA,GAAG,EAAE,OAAOA,GAAG,SAAS,OAAOA,EAAE,CAAC,IAAI,EAAE,QAAQE,KAAK,OAAO,KAAK82D,EAAE,EAAE,GAAGA,GAAG92D,KAAKF,EAAE,CAAC,EAAEE,EAAE,KAAK,CAAC,GAAG,IAAI,OAAO,OAAO,EAAE,QAAQA,KAAK,OAAO,KAAKk4D,EAAE,EAAE,GAAGA,GAAGl4D,KAAKF,EAAE,CAAC,EAAEE,EAAE,KAAK,CAAC,OAAO,IAAI,OAAO,EAAEF,EAAE,IAAI,CAAC,CAAC,SAASu4D,GAAGv4D,EAAE,CAAC,IAAI,EAAE,CAAC,QAAQ,IAAIq6C,GAAG,QAAQ,GAAG,EAAE,SAAS,IAAIA,GAAG,SAAS,EAAE,IAAIgP,GAAG,CAAC,EAAE,KAAK,IAAIhP,GAAG,KAAK,KAAK,GAAG,KAAKgP,GAAG,CAAC,EAAE,OAAO,IAAIhP,GAAG,OAAO,KAAK,GAAG,KAAKgP,GAAG,EAAE,CAAC,EAAE,QAAQ,IAAIhP,GAAG,QAAQ,KAAK,GAAG,EAAEgP,GAAG,CAAC,EAAE,IAAI,IAAIhP,GAAG,IAAI,GAAG,CAAC,EAAE,GAAG,EAAE,QAAQ,EAAE,QAAQ,EAAE,SAAS,EAAE,SAAS,EAAE,KAAK,EAAE,KAAK,EAAE,OAAO,EAAE,OAAO,EAAE,QAAQ,EAAE,QAAQ,EAAE,IAAI,EAAE,IAAIr6C,KAAK,EAAE,OAAO,EAAEA,GAAG,EAAE,MAAM,IAAIgmD,EAAE,qBAAqBhmD,GAAG,CAAC,CAAC,SAASw4D,GAAGx4D,EAAE,EAAEE,EAAE,GAAG,CAAC,GAAGF,GAAG,MAAM,OAAOA,GAAG,UAAU,OAAO,eAAeA,CAAC,IAAI,OAAO,WAAW,CAACy4D,GAAGz4D,CAAC,EAAE,MAAM,IAAI,MAAM,oEAAoE,EAAE,GAAGE,EAAE,CAAC,IAAII,EAAE,KAAK,UAAUN,CAAC,EAAEM,EAAE,OAAO,SAAS,QAAQ,KAAK,mCAAmC,mCAAmCA,EAAE,qJAAqJ,UAAU,CAAC,CAAC,CAAC,SAASm4D,GAAGz4D,EAAE,CAAC,GAAGA,IAAI,KAAK,MAAM,GAAG,GAAG,OAAOA,GAAG,SAAS,GAAG,OAAO,eAAeA,CAAC,IAAI,OAAO,UAAU,CAAC,IAAI,EAAE,OAAO,KAAKA,CAAC,EAAE,QAAQE,KAAK,EAAE,GAAG,OAAOA,GAAG,UAAU,CAACu4D,GAAGz4D,EAAEE,EAAE,EAAE,MAAM,GAAG,MAAM,EAAE,SAAS,MAAM,QAAQF,CAAC,EAAE,CAAC,QAAQ,KAAKA,EAAE,GAAG,CAACy4D,GAAG,CAAC,EAAE,MAAM,GAAG,MAAM,EAAE,KAAM,OAAM,OAAO,CAAC,IAAI,EAAE,OAAOz4D,EAAE,OAAO,IAAI,UAAU,IAAI,UAAU,IAAI,SAAS,CAAC,CAAC,SAAS04D,GAAG14D,EAAE,EAAEE,EAAEI,EAAE,QAAQ,IAAI,CAAC,IAAIC,EAAEo4D,GAAG34D,CAAC,EAAE,EAAE,CAAC,eAAe,cAAc,eAAe,SAAS,EAAEO,GAAG,EAAE,GAAG,GAAGL,EAAEA,GAAG,CAAC,IAAI,IAAI,IAAI,CAAC,IAAI,EAAE,GAAG,IAAIA,EAAEA,GAAG,CAAC,IAAI,IAAI,GAAG,GAAG,CAAC,GAAGA,EAAEA,EAAE,OAAO,IAAI,IAAIA,EAAEA,EAAE,IAAI0C,GAAG,KAAK,MAAM,EAAEA,CAAC,CAAC,GAAG,IAAI,EAAE,GAAG,CAACrC,EAAE,CAAC,EAAE,KAAK,iBAAiB,EAAE,EAAE,CAAC,EAAE,QAAQqC,KAAK5C,EAAE,aAAa,EAAE,KAAK,GAAGA,EAAE,aAAa4C,EAAE,CAAC,CAACtC,EAAE,IAAI,OAAO,CAAC,CAAC,EAAEs4D,GAAG,EAAE14D,EAAEI,CAAC,EAAEA,EAAE,IAAI,OAAO,CAAC,CAAC,EAAE,IAAI2B,EAAEjC,EAAE,OAAO,QAAQ4C,EAAE,EAAEA,EAAEX,EAAE,OAAO,EAAEW,EAAErC,EAAEs4D,GAAG52D,EAAEW,GAAG1C,EAAEI,CAAC,EAAEw4D,GAAG72D,EAAEW,GAAG1C,EAAE,EAAEI,CAAC,EAAEA,GAAGsC,IAAIX,EAAE,OAAO,EAAE,IAAI,KAAK,OAAO,CAAC,CAAC,EAAEjC,EAAE,iCAAiC,EAAE,IAAIkC,EAAE62D,GAAG/4D,CAAC,EAAEmC,EAAEuqD,GAAG1sD,EAAE,mBAAmB,EAAEM,EAAE,iBAAiB4B,EAAEC,GAAG,EAAE7B,EAAE,qBAAqB4B,GAAG,EAAE5B,EAAE,yBAAyB6B,GAAG,EAAE7B,EAAE,IAAI,OAAO,CAAC,CAAC,CAAC,CAAC,SAASy4D,GAAG/4D,EAAE,CAAC,IAAI,EAAE,OAAOA,EAAE,2BAA2B,KAAK,EAAE0sD,GAAG1sD,EAAE,yBAAyB,EAAE,EAAE0sD,GAAG1sD,EAAE,gBAAgB,EAAE,CAAC,CAAC,SAAS24D,GAAG34D,EAAE,CAAC,IAAI,EAAE,GAAGE,EAAE,CAAC,EAAEI,EAAE,CAAC,EAAE,QAAQC,KAAKP,EAAE,aAAaE,EAAE,KAAKF,EAAE,aAAaO,EAAE,EAAE,QAAQA,KAAKL,EAAE,CAAC,GAAGK,EAAE,OAAO,GAAGA,EAAE,SAAS,GAAGA,EAAE,GAAG,cAAc,OAAO,EAAE,CAAC,EAAE,GAAG,KAAK,CAACD,EAAE,KAAK,GAAGC,CAAC,CAAC,CAAC,GAAG,EAAE,QAAQA,KAAKP,EAAE,OAAO,CAAC,IAAI,EAAE,GAAG,QAAQ,KAAKO,EAAE,aAAa,GAAGD,EAAE,QAAQ,CAAC,IAAI,GAAG,GAAG,EAAE,CAAC,EAAE,GAAG,KAAK,MAAM,EAAE,GAAG,GAAG,CAAC,EAAE,KAAK,CAAC,OAAO,CAAC,CAAC,SAASs4D,GAAG54D,EAAE,EAAEE,EAAE,QAAQ,IAAI,CAAC,IAAII,EAAE,GAAG,QAAQC,EAAE,EAAEA,EAAEP,EAAE,OAAO,EAAEO,EAAEA,EAAE,IAAID,EAAEA,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,EAAE,KAAKA,GAAGN,EAAEO,GAAGD,EAAEA,EAAE,MAAM,EAAE,EAAEC,EAAE,EAAED,GAAG,IAAI,OAAO,EAAEC,GAAGD,EAAE,MAAM,EAAEJ,EAAEI,CAAC,CAAC,CAAC,SAASu4D,GAAG74D,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEC,EAAE,GAAG,CAACA,EAAEP,EAAE,aAAa,IAAIkC,GAAG,KAAK,UAAUA,EAAE,WAAW,CAAC,EAAE,KAAK,GAAG,CAAC,OAAOA,EAAN,CAAS3B,EAAE,UAAU,CAAC,GAAG,CAACD,EAAE,KAAK,UAAUN,EAAE,WAAW,CAAC,OAAOkC,EAAN,CAAS5B,EAAE,UAAU,CAAC,IAAI,EAAEN,EAAE,KAAK,EAAEA,EAAE,aAAa,EAAEiC,EAAE,CAAC,GAAG,MAAM,KAAK1B,EAAED,EAAEN,EAAE,YAAY,EAAE,SAAS,CAAC,EAAE44D,GAAG32D,EAAE,EAAE/B,CAAC,CAAC,CAAC,SAAS44D,GAAG94D,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAE,EAAE,GAAG,CAAC,EAAEP,EAAE,aAAa,IAAI6C,GAAG,KAAK,UAAUA,EAAE,WAAW,CAAC,EAAE,KAAK,GAAG,CAAC,OAAOA,EAAN,CAAS,EAAE,UAAU,CAAC,GAAG,CAACtC,EAAE,KAAK,UAAUP,EAAE,WAAW,CAAC,OAAO6C,EAAN,CAAStC,EAAE,UAAU,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQsC,KAAK7C,EAAE,aAAa,GAAG,EAAEE,GAAG,MAAMA,EAAE,OAAO,GAAGA,EAAE,QAAQ2C,CAAC,IAAI,IAAI,QAAQC,EAAE,EAAEA,EAAED,EAAE,cAAc,OAAO,EAAEC,EAAE,CAAC,IAAIC,EAAEF,EAAE,cAAcC,GAAG,KAAKE,EAAEH,EAAE,YAAYC,GAAGoB,EAAErB,EAAE,cAAcC,GAAG,EAAE,KAAK,GAAGC,KAAKC,MAAMkB,IAAI,CAAC,CAAC,IAAIjC,EAAEjC,EAAE,KAAKkC,EAAElC,EAAE,aAAa,EAAEmC,EAAE,EAAE,SAAS,EAAE,GAAG,EAAE,GAAGS,EAAE,CAAC,GAAGX,MAAMC,KAAK,EAAE3B,EAAEP,EAAE,YAAY,EAAE,SAAS,EAAEmC,CAAC,EAAEy2D,GAAGh2D,EAAE,EAAEtC,CAAC,EAAE,QAAQuC,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE+1D,GAAG,CAAC,GAAG,GAAG,GAAG,GAAG,EAAE/1D,EAAE,EAAE,EAAEvC,CAAC,CAAC,CAAC,SAAS04D,GAAGh5D,EAAE,EAAEE,EAAE,CAAC,OAAOF,IAAI,gBAAgBA,IAAI,gBAAgBA,IAAI,gBAAgB,IAAI,GAAG,OAAOE,GAAG,QAAQ,CAAC,SAAS+4D,GAAGj5D,EAAE,EAAE,CAAC,GAAGA,IAAI,KAAK,OAAO,KAAK,GAAG,OAAOA,GAAG,SAAS,OAAO0mD,GAAG1mD,CAAC,EAAE,GAAG,OAAOA,GAAG,UAAU,OAAOA,GAAG,UAAU,OAAOA,EAAE,GAAGA,aAAa,MAAM,CAAC,IAAIE,EAAE,CAAC,EAAEI,EAAEN,EAAE,OAAO,QAAQO,EAAE,EAAEA,EAAED,EAAE,EAAEC,EAAE,CAAC,IAAI,EAAEP,EAAEO,GAAGy4D,GAAG,EAAEz4D,EAAE,CAAC,EAAEL,EAAE,KAAK,CAAC,EAAEA,EAAE,KAAK+4D,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,OAAO/4D,CAAC,KAAK,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQI,KAAK,OAAO,KAAKN,CAAC,EAAE,CAAC,IAAIO,EAAEP,EAAEM,GAAG,GAAGA,IAAI,QAAQ,OAAOC,GAAG,SAASL,EAAEI,GAAGC,MAAM,CAAC,IAAI,EAAEmmD,GAAGpmD,CAAC,EAAEJ,EAAE,GAAG+4D,GAAG14D,EAAE,CAAC,CAAC,CAAC,CAAC,OAAOL,CAAC,CAAC,CAAC,SAASg5D,GAAGl5D,EAAE,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,KAAK,GAAG,OAAOA,GAAG,SAAS,OAAOymD,GAAGzmD,CAAC,EAAE,GAAG,OAAOA,GAAG,UAAU,OAAOA,GAAG,UAAU,OAAOA,EAAE,GAAGA,aAAa,MAAM,CAAC,IAAIE,EAAE,CAAC,EAAEI,EAAEN,EAAE,OAAO,QAAQO,EAAE,EAAEA,EAAED,EAAE,EAAEC,EAAE,CAAC,IAAI,EAAEP,EAAEO,GAAGy4D,GAAG,EAAEz4D,EAAE,CAAC,EAAEL,EAAE,KAAK,CAAC,EAAEA,EAAE,KAAKg5D,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,OAAOh5D,CAAC,KAAK,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQI,KAAK,OAAO,KAAKN,CAAC,EAAE,CAAC,IAAIO,EAAEP,EAAEM,GAAG,EAAEmmD,GAAGnmD,CAAC,GAAGA,IAAI,QAAQA,IAAI,cAAc,OAAOC,GAAG,SAASL,EAAE,GAAGK,EAAEL,EAAE,GAAGg5D,GAAG34D,EAAED,CAAC,CAAC,CAAC,OAAOJ,CAAC,CAAC,CAAC,IAAIi5D,GAAG,QAAYC,GAAG,cAAc/L,EAAE,CAAC,YAAYvsD,EAAE,CAAC,GAAG,MAAM,CAAC,CAAC,EAAE,KAAK,eAAe,IAAI,IAAI,KAAK,KAAKA,EAAE,KAAK,KAAK,MAAM,KAAK,CAAC,IAAI,EAAE,KAAK,aAAa,EAAE,YAAY,EAAE,KAAK,KAAK8mD,GAAG,CAAC,CAAC,CAAC,GAAG,KAAK,gBAAgB,GAAG,KAAK,WAAW,GAAG,MAAM,QAAQ9mD,EAAE,MAAM,EAAE,KAAK,OAAOA,EAAE,OAAO,MAAM,EAAE,KAAK,OAAO,CAACA,EAAE,MAAM,EAAE,MAAM,QAAQA,EAAE,OAAO,EAAE,KAAK,QAAQA,EAAE,QAAQ,MAAM,EAAE,KAAK,QAAQ,CAACA,EAAE,OAAO,EAAEmmD,GAAG,KAAK,MAAM,EAAE,SAAS,KAAK,OAAO,OAAO,MAAM,IAAIjB,EAAE,mGAAmG,KAAK,OAAO,IAAI,GAAG,EAAE,IAAI,GAAG,EAAEiB,GAAG,KAAK,OAAO,EAAE,SAAS,KAAK,QAAQ,QAAQ,QAAQ,KAAK,qGAAqG,KAAK,QAAQ,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,uBAAuB,CAAC,EAAE,KAAK,yBAAyB,CAAC,EAAE,KAAK,aAAa,CAAC,EAAE,KAAK,wBAAwB,CAAC,EAAE,KAAK,0BAA0B,CAAC,EAAE,KAAK,OAAO,CAAC,EAAE,KAAK,sBAAsB,CAAC,EAAE,QAAQ,KAAK,KAAK,QAAQ,CAAC,IAAItiD,EAAE,EAAE,YAAYC,EAAE,EAAE,UAAUC,EAAE,EAAE,YAAY,KAAK,aAAa,KAAKF,CAAC,EAAE,KAAK,wBAAwB,KAAKC,CAAC,EAAE,KAAK,0BAA0B,KAAKC,CAAC,CAAC,CAAC,QAAQ,KAAK,KAAK,OAAO,CAAC,IAAIF,EAAE,EAAE,YAAYC,EAAE,EAAE,UAAUC,EAAE,EAAE,YAAYwhD,GAAGzhD,IAAI,EAAE,0BAA0B,EAAEyhD,GAAGxhD,IAAI,EAAE,4BAA4B,EAAE,KAAK,YAAY,KAAKF,CAAC,EAAE,KAAK,uBAAuB,KAAKC,CAAC,EAAE,KAAK,yBAAyB,KAAKC,CAAC,CAAC,CAAC,KAAK,WAAW,CAAC,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,gBAAgB,CAAC,EAAE,KAAK,eAAe,CAAC,EAAE,KAAK,gBAAgB,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAE,KAAK,YAAY,OAAO,IAAI,CAAC,IAAIF,EAAE,KAAK,YAAY,GAAG,GAAG,EAAEA,aAAa8oD,IAAI,MAAM,IAAI,UAAU,8EAA8E3sD,EAAE,iBAAiB,0CAA0C6D,EAAE,aAAa,IAAI,EAAE,KAAK,WAAW,KAAKA,EAAE,IAAI,EAAE,KAAK,gBAAgB,KAAKA,EAAE,eAAe,EAAE,KAAK,eAAe,KAAKA,EAAE,IAAI,CAAC,CAAC,QAAQ,KAAK,KAAK,aAAa,KAAK,YAAY,KAAK,EAAE,IAAI,EAAE,KAAK,oBAAoB,KAAK,OAAO,IAAI,GAAG,EAAE,KAAK,EAAE,KAAK,qBAAqB,KAAK,QAAQ,IAAI,GAAG,EAAE,KAAK,EAAE,IAAIzE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEK,EAAE,CAAC,EAAEwB,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAEyC,EAAEC,EAAEC,EAAEC,EAAE0C,IAAI,EAAE3C,GAAG,MAAMC,GAAG,MAAM0C,GAAG,QAAQ3C,EAAE,EAAE,YAAYC,EAAE,EAAE,UAAU0C,EAAE,EAAE,aAAa,IAAIxC,EAAEH,EAAE,aAAaC,GAAG,GAAGF,EAAE,QAAQI,CAAC,IAAI,GAAG,MAAM,IAAI+gD,GAAG,cAAc,EAAE,kBAAkBlhD,EAAE,2BAA2B,EAAE,GAAGF,EAAE,QAAQK,CAAC,IAAI,GAAG,OAAO,KAAK,eAAe,IAAIo0D,GAAG,QAAQv0D,EAAEC,CAAC,CAAC,EAAED,EAAE,MAAM7C,IAAIA,EAAE6C,EAAE,IAAI,OAAO,KAAK7C,CAAC,EAAE,QAAQ4C,EAAE,QAAQI,CAAC,IAAI,IAAIJ,EAAE,KAAKI,CAAC,EAAE,IAAIyC,EAAEzC,EAAE,cAAc,OAAO,QAAQC,EAAE,EAAEA,EAAEwC,EAAExC,IAAI,CAAC,IAAIC,EAAEF,EAAE,aAAaC,GAAGE,EAAEH,EAAE,cAAcC,GAAGG,EAAEJ,EAAE,YAAYC,GAAGI,EAAEL,EAAE,cAAcC,GAAG/C,EAAEgD,EAAEP,EAAEC,EAAEO,EAAEC,EAAEC,CAAC,CAAC,CAAC,IAAIV,EAAE,KAAKK,CAAC,EAAEJ,EAAE,QAAQI,CAAC,GAAG,GAAGJ,EAAE,OAAOA,EAAE,QAAQI,CAAC,EAAE,CAAC,EAAE/C,EAAE,KAAK+C,CAAC,CAAC,EAAE,EAAE,CAAC,EAAEpC,EAAE,CAAC,EAAE,QAAQ,KAAK,KAAK,QAAQV,EAAE,EAAE,EAAEU,CAAC,EAAE,IAAI,EAAEX,EAAE,MAAM,EAAE,QAAQ,EAAE,QAAQ,KAAK,EAAE,CAAC,EAAE,EAAE,IAAI,EAAE,EAAE,MAAM/B,IAAIA,EAAE,EAAE,IAAI,GAAG,IAAIyE,EAAEzE,EAAE,EAAE,IAAI0E,EAAErE,EAAE,EAAE,cAAc,KAAK,KAAK,EAAEA,EAAE,EAAE,cAAc,IAAIoE,EAAE,KAAK,IAAIA,EAAEC,CAAC,EAAErE,EAAE,EAAE,cAAc,IAAIoE,EAAE5C,EAAE,EAAE,cAAc,IAAI,EAAE,cAAc7B,EAAE,EAAE,IAAIyE,EAAE,QAAQE,EAAE,EAAEA,EAAE,EAAE,cAAc,OAAOA,IAAI,CAAC,IAAIC,EAAE,EAAE,cAAcD,GAAG2C,EAAE,EAAE,YAAY3C,GAAGG,EAAEF,EAAE,aAAa0C,GAAGC,EAAEvH,EAAE8E,EAAE,KAAK,KAAK,EAAE9E,EAAE8E,EAAE,IAAI9E,EAAE8E,EAAE,IAAI,KAAK,IAAIL,EAAE,EAAE8C,CAAC,EAAE,EAAEzC,EAAE,IAAIA,CAAC,CAAC,CAAC,IAAIlC,EAAE,CAAC,EAAE,QAAQ,KAAK5C,EAAE,CAAC,IAAIyE,EAAEzE,EAAE,GAAGyE,KAAK7B,IAAIA,EAAE6B,GAAG,CAAC,GAAG7B,EAAE6B,GAAG,KAAK,EAAE,EAAE,CAAC,CAAC,IAAI5B,EAAE,CAAC,EAAE,QAAQ,KAAKxC,EAAE,CAAC,IAAIoE,EAAEpE,EAAE,GAAGoE,KAAK5B,IAAIA,EAAE4B,GAAG,CAAC,GAAG5B,EAAE4B,GAAG,KAAK5C,EAAE,EAAE,CAAC,CAAC,IAAIiB,EAAE,OAAO,KAAKD,CAAC,EAAE,IAAI,GAAG,SAAS,EAAE,EAAE,CAAC,EAAE,KAAKikD,EAAE,EAAE,KAAK,OAAO,CAAC,EAAE,QAAQ,KAAKhkD,EAAE,CAAC,IAAI2B,EAAE5B,EAAE,GAAG4B,EAAE,KAAK,CAACC,EAAEC,IAAI,CAAC,IAAIC,EAAE9C,EAAE4C,EAAE,IAAI4C,EAAExF,EAAE6C,EAAE,IAAI,OAAOC,EAAE0C,EAAE,GAAG1C,EAAE0C,EAAE,EAAE,CAAC,CAAC,EAAE,QAAQ5C,KAAKD,EAAEC,aAAaw0D,IAAI,KAAK,sBAAsB,KAAKx0D,CAAC,EAAE,KAAK,OAAO,KAAKA,CAAC,CAAC,CAAC,KAAK,cAAc7B,EAAEC,EAAE,OAAO,KAAKF,CAAC,EAAE,IAAI,GAAG,SAAS,EAAE,EAAE,CAAC,EAAE,KAAKkkD,EAAE,EAAE,IAAI9iD,EAAE,KAAK,OAAO,MAAM,EAAEC,EAAE,CAAC,EAAE,QAAQ,KAAKnB,EAAE,QAAQ2B,KAAK7B,EAAE,GAAG,CAAC,IAAI8B,EAAED,EAAE,cAAc,GAAGC,GAAG,KAAK,CAAC,QAAQC,KAAKF,EAAE,aAAa,GAAGT,EAAE,QAAQW,CAAC,IAAI,GAAG,MAAM,IAAIkhD,GAAG,sDAAsDlhD,eAAeD,EAAE,qEAAqET,GAAG,EAAE,QAAQU,KAAKF,EAAE,cAAcT,EAAE,KAAKW,CAAC,EAAEV,EAAE,KAAKS,EAAE,IAAI,CAAC,CAAC,CAAC,KAAK,aAAa9B,EAAE,IAAIyE,EAAE,KAAK,OAAO,IAAI,GAAG,EAAE,IAAI,EAAE,QAAQ,KAAKA,EAAE,CAAC,IAAI5C,EAAE4C,EAAE,OAAO3C,GAAGA,IAAI,CAAC,EAAE,OAAO,GAAGD,IAAI,EAAE,MAAM,IAAIohD,GAAG,aAAa,cAAcphD,wEAAwE,KAAK,UAAU4C,CAAC,CAAC,CAAC,CAAC,KAAK,cAAc,CAAC,EAAE,KAAK,aAAa,CAAC,EAAE,IAAI4lD,GAAG,CAAC,cAAc,KAAK,cAAc,CAAC,EAAE,YAAY,CAAC,EAAE,cAAc,CAAC,EAAE,aAAa,KAAK,OAAO,cAAc,KAAK,QAAQ,WAAW,KAAK,OAAO,IAAI,GAAG,IAAI,EAAE,YAAY,KAAK,QAAQ,IAAI,GAAG,IAAI,EAAE,YAAY,KAAK,OAAO,IAAI,GAAG,EAAE,KAAK,EAAE,aAAa,KAAK,QAAQ,IAAI,GAAG,EAAE,KAAK,CAAC,CAAC,EAAE,KAAK,MAAM,GAAG,KAAK,UAAU,CAAC,CAAC,mBAAmB,CAAC,GAAG,KAAK,YAAY,EAAE,MAAM,IAAI,MAAM,cAAc,KAAK,4BAA4B,CAAC,CAAC,SAAS,CAAC,KAAK,kBAAkB,EAAE,IAAIrsD,EAAE,CAAC,qBAAqB,KAAK,qBAAqB,CAAC,EAAE,GAAG,EAAE,KAAK,YAAY,EAAE,CAAC,QAAQZ,KAAK,KAAK,OAAOY,EAAE,sBAAsBZ,EAAE,QAAQ,EAAE,qBAAqB,QAAQA,KAAK,KAAK,sBAAsBY,EAAE,sBAAsBZ,EAAE,QAAQ,EAAE,oBAAoB,CAAC,OAAOY,EAAE,qBAAqB,KAAK,UAAUA,CAAC,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,UAAU,CAAC,IAAI,UAAUA,EAAE,CAAC,KAAK,OAAO,QAAQZ,GAAG,CAACA,EAAE,kBAAkB,QAAQ,GAAG,EAAE,UAAUY,CAAC,CAAC,CAAC,EAAE,KAAK,WAAWA,CAAC,CAAC,IAAI,kBAAkB,CAAC,GAAG,KAAK,kBAAkB,OAAO,EAAE,MAAM,IAAIklD,EAAE,sNAAsN,EAAE,GAAG,CAAC,KAAK,UAAU,MAAM,CAAC,EAAE,IAAIllD,EAAE,CAAC,EAAE,QAAQZ,KAAK,KAAK,OAAOY,EAAEA,EAAE,OAAOZ,EAAE,gBAAgB,EAAE,OAAOY,CAAC,CAAC,IAAI,qBAAqB,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQZ,KAAK,KAAK,OAAOY,EAAE,KAAK,GAAGZ,EAAE,mBAAmB,EAAE,GAAG,CAAC,KAAK,UAAU,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQ,KAAK,KAAK,OAAOA,EAAE,KAAK,GAAG,EAAE,gBAAgB,EAAE,OAAOA,EAAE,OAAOY,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,IAAI,SAAS,CAAC,OAAO,KAAK,iBAAiB,OAAO,KAAK,mBAAmB,CAAC,CAAC,YAAYA,EAAEZ,EAAE,GAAG,CAAC,IAAI,EAAE,CAAC,EAAEK,EAAE,EAAE,QAAQyB,KAAK,KAAK,OAAO,QAAQC,KAAKD,EAAE,QAAQ,CAAC,GAAG,EAAEC,EAAE,eAAe,KAAK,MAAM,IAAI+jD,EAAE,0BAA0B/jD,EAAE,cAAc,EAAE,EAAEA,EAAE,cAAcA,EAAE1B,GAAG,CAAC,IAAIwB,EAAE,CAAC,EAAE,QAAQC,KAAKlB,EAAE,CAAC,IAAImB,EAAED,EAAE,GAAG,EAAEA,IAAI,KAAK,CAAC,IAAIE,EAAEF,EAAE,MAAM,GAAG,EAAEC,EAAEC,EAAE,MAAM,EAAE,EAAE,EAAE,OAAO,CAACA,EAAEA,EAAE,OAAO,EAAE,CAAC,EAAE,KAAK,GAAG,CAAC,CAAC,GAAG,EAAED,IAAI,KAAKF,EAAE,KAAK,CAAC,EAAEE,GAAGnB,EAAEkB,EAAE,CAAC,UAAU9B,EAAE,MAAM,IAAI8lD,EAAE,gDAAgDhkD,GAAG,EAAE,OAAO,EAAEC,EAAE,CAAC,GAAG/B,EAAE,CAAC,IAAI8B,EAAE,CAAC,EAAE,QAAQC,KAAK,EAAED,EAAE,KAAKC,CAAC,EAAE,GAAGD,EAAE,OAAO,EAAE,MAAM,IAAIgkD,EAAE,GAAGhkD,EAAE,aAAazB,0BAA0ByB,GAAG,CAAC,CAAC+qD,GAAGhrD,CAAC,CAAC,CAAC,eAAe,CAAC,IAAIjB,EAAE,KAAK,UAAU,EAAEZ,EAAE,CAAC,EAAE,OAAOA,EAAE,UAAU,KAAK,aAAa,EAAEA,EAAE,OAAOY,EAAEZ,EAAE,aAAa,eAAei5D,KAAKj5D,EAAE,QAAQ,gBAAgBA,CAAC,CAAC,OAAOY,EAAEZ,EAAE,GAAG,CAAC,IAAI,EAAEg5D,GAAG,KAAK,cAAc,CAAC,EAAE,OAAOh5D,EAAE,KAAK,UAAU,CAAC,EAAE,CAAC,CAAC,KAAKY,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC3yB,EAAE0lD,GAAG1lD,CAAC,EAAE,IAAI,EAAE,IAAI8sD,GAAG,QAAQrtD,EAAE,EAAEA,EAAE,KAAK,OAAO,OAAO,EAAEA,EAAE,EAAE,IAAI,KAAK,OAAOA,GAAGO,EAAEP,EAAE,EAAE,OAAOytD,GAAG,KAAK,QAAQ,EAAE9tD,CAAC,CAAC,CAAC,CAAC,CAAC,YAAYY,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC3yB,EAAE0lD,GAAG1lD,CAAC,EAAE,IAAI,EAAE,OAAOZ,GAAG,KAAK,EAAEkmD,GAAG,KAAKtlD,EAAE,MAAM,EAAE,EAAE0lD,GAAGtmD,CAAC,EAAE,KAAK,iBAAiBY,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAAC,IAAIZ,EAAEqsD,GAAGzrD,CAAC,EAAE,GAAGZ,EAAE,SAAS,KAAK,YAAY,OAAO,MAAM,IAAI8lD,EAAE,+BAA+BllD,gBAAgB,KAAK,YAAY,uBAAuB,EAAE,IAAI,EAAE,CAAC,EAAE,QAAQmB,EAAE,EAAEA,EAAE/B,EAAE,OAAO+B,IAAI,CAAC,IAAIC,EAAE,KAAK,YAAYD,GAAG,EAAE/B,EAAE+B,GAAGW,EAAEV,EAAE,KAAK,OAAO,EAAEU,GAAG,CAAC,CAAC,IAAIrC,EAAE,OAAO,KAAK,KAAK,YAAY,EAAE,IAAI0B,GAAG,SAASA,EAAE,EAAE,CAAC,EAAE,KAAK+kD,EAAE,EAAE,GAAGzmD,EAAE,OAAO,EAAE,QAAQ0B,KAAK1B,EAAE,CAAC,IAAI2B,EAAE,KAAK,aAAaD,GAAG,QAAQ,KAAKC,EAAE,CAAC,IAAIU,EAAE,EAAE,cAAc,GAAG,KAAK,YAAY,IAAIsB,GAAGA,EAAE,EAAE,EAAE,QAAQtB,EAAE,EAAE,IAAI,GAAG,SAAS,IAAI,EAAE,CAAC,EAAE,QAAQsB,EAAE,EAAEA,EAAE,EAAE,cAAc,OAAOA,IAAI,CAAC,IAAIC,EAAE,EAAE,cAAcD,GAAGqD,EAAE,EAAE,YAAYrD,GAAG,EAAE,EAAE,cAAcA,GAAGS,EAAE,GAAGR,EAAE,QAAQoD,KAAK,IAAI3C,EAAE,EAAED,GAAG,EAAE,KAAKC,CAAC,CAAC,CAAC,IAAI9B,EAAEF,EAAE,mBAAmB2jD,GAAG,CAAC,CAAC,EAAExjD,EAAEwpD,GAAGzpD,CAAC,EAAEE,EAAEJ,EAAE,aAAa,QAAQ,CAAC,EAAE,QAAQsB,EAAE,EAAEA,EAAEnB,EAAE,OAAOmB,IAAI,CAAC,IAAIC,EAAE,GAAGvB,EAAE,QAAQI,KAAKkB,IAAI,EAAEC,GAAGpB,EAAEmB,EAAE,CAAC,CAAC,CAAC,IAAInC,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,KAAK,aAAa,OAAOA,IAAI,CAAC,IAAIC,EAAE,KAAK,aAAaD,GAAG,EAAE,KAAK,wBAAwBA,GAAGW,EAAE,KAAK,0BAA0BX,GAAG,EAAE,GAAGC,EAAE,QAAQ,KAAKU,IAAIZ,EAAE,KAAK,CAAC,CAAC,CAAC,QAAQC,EAAE,EAAEA,EAAED,EAAE,OAAOC,IAAI,CAAC,IAAIC,EAAEF,EAAEC,GAAGokD,GAAGnkD,KAAK,CAAC,EAAEH,EAAE,KAAK,EAAEG,EAAE,CAAC,CAAC,OAAOqkD,GAAGxkD,CAAC,CAAC,CAAC,iBAAiBjB,EAAEZ,EAAE,CAACA,GAAG,OAAOA,EAAEkmD,GAAG,KAAKtlD,EAAE,MAAM,GAAG,IAAI,EAAE,CAAC,EAAE,QAAQoB,EAAE,EAAEA,EAAE,KAAK,OAAO,OAAO,EAAEA,EAAE,CAAC,IAAI,EAAE,KAAK,OAAOA,GAAGU,EAAE9B,EAAEoB,GAAG,EAAEhC,EAAEgC,GAAG,EAAE,EAAE,IAAI,CAACU,EAAE,CAAC,CAAC,CAAC,IAAIrC,EAAE,OAAO,KAAK,KAAK,YAAY,EAAE,IAAI2B,GAAG,SAASA,EAAE,EAAE,CAAC,EAAE,KAAK8kD,EAAE,EAAE,QAAQ9kD,KAAK3B,EAAE,CAAC,IAAI,EAAE,KAAK,aAAa2B,GAAG,QAAQU,KAAK,EAAE,CAAC,IAAI,EAAEA,EAAE,cAAcE,EAAEF,EAAE,aAAaG,EAAEH,EAAE,cAAcI,EAAE,IAAI,MAAM,QAAQkB,KAAKpB,EAAEoB,EAAE,MAAM,GAAGlB,EAAE,KAAK,EAAEkB,EAAE,GAAG,EAAE,GAAGlB,EAAE,SAASF,EAAE,OAAO,CAAC,IAAIoB,EAAE,CAAC,EAAEC,EAAEoD,EAAE,EAAE5C,EAAE,GAAG/B,EAAE,UAAU,OAAOsB,EAAEtB,EAAE,UAAUI,EAAE,SAAS,EAAE,CAAC,GAAG,CAAC4B,EAAEC,CAAC,EAAE7B,EAAE,GAAGkB,EAAE,MAAM,OAAOA,EAAE,KAAKW,GAAG,EAAE2hD,GAAG,EAAE,KAAK5hD,EAAEV,CAAC,CAAC,EAAES,EAAE6hD,GAAG,EAAE,YAAY5hD,EAAEC,CAAC,CAAC,EAAEV,EAAE,CAACS,CAAC,EAAE2C,EAAE,CAAC1C,CAAC,CAAC,MAAMV,EAAEnB,EAAE,IAAI4B,GAAGA,EAAE,EAAE,EAAE2C,EAAEvE,EAAE,IAAI4B,GAAGA,EAAE,EAAE,EAAEV,EAAE,MAAM,OAAOA,EAAE,KAAKqD,GAAG,EAAEi/C,GAAG,EAAE,KAAKriD,EAAED,CAAC,CAAC,EAAES,EAAE6hD,GAAG,EAAE,YAAYriD,EAAEoD,CAAC,CAAC,EAAE,GAAG,EAAE,oBAAoB,MAAM,IAAI0+C,GAAG,uHAAuH,EAAE,QAAQrhD,EAAE,EAAEA,EAAE7B,EAAE,OAAO,EAAE6B,EAAE,CAAC,IAAIC,EAAE9B,EAAE6B,GAAGE,EAAE,EAAEF,GAAG4C,EAAE7C,EAAEC,GAAG,EAAEC,EAAE,IAAI,CAACC,EAAE0C,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIzF,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,QAAQC,KAAK,KAAK,QAAQ,CAACmkD,GAAGnkD,EAAE,MAAM,EAAE,4BAA4BA,EAAE,UAAUA,EAAE,IAAI,EAAE,GAAG,CAAC,EAAEU,CAAC,EAAE,EAAEV,EAAE,IAAID,EAAE,KAAK,EAAE,KAAK,EAAEF,EAAE,KAAK,CAAC,EAAEC,EAAE,KAAKY,CAAC,CAAC,CAAC,MAAM,CAACb,EAAEC,EAAEC,CAAC,CAAC,CAAC,uBAAuBnB,EAAE,CAAC,IAAIZ,EAAE,CAAC,EAAE,EAAE,QAAQK,KAAK,KAAK,OAAO,CAAC,EAAEA,aAAa64D,GAAG,EAAE,EAAE,QAAQr3D,EAAE,EAAEA,EAAExB,EAAE,aAAa,OAAOwB,IAAI,CAAC,IAAIC,EAAEo3D,GAAG,QAAQ74D,EAAEwB,CAAC,EAAE,KAAK,eAAe,IAAIC,CAAC,IAAI9B,EAAE8B,GAAG,EAAE,GAAG,EAAE,CAAC,CAAC,OAAO9B,CAAC,CAAC,SAASY,EAAEZ,EAAE,CAAC,GAAGA,GAAG,KAAK,CAAC,GAAG,KAAK,OAAO,QAAQA,EAAE,MAAM,IAAI8lD,EAAE,wCAAwC9lD,yBAAyB,KAAK,OAAO,kBAAkB,EAAE,OAAO,KAAK,OAAOA,EAAE,SAASY,GAAG,KAAK,MAAM,IAAIklD,EAAE,4CAA4C,EAAE,QAAQ,KAAK,KAAK,OAAO,GAAG,EAAE,OAAOllD,EAAE,OAAO,EAAE,MAAM,IAAIklD,EAAE,kBAAkBllD,GAAG,CAAC,CAAC,iBAAiB,CAAC,OAAO2yB,EAAE,IAAI,CAAC,IAAI3yB,EAAE,CAAC,EAAE,QAAQZ,KAAK,KAAK,OAAO,QAAQ,EAAE,EAAE,EAAEA,EAAE,aAAa,OAAO,EAAE,EAAE,CAAC,IAAIK,EAAE64D,GAAG,QAAQl5D,EAAE,CAAC,EAAE,KAAK,eAAe,IAAIK,CAAC,GAAGO,EAAE,KAAK,GAAGZ,EAAE,gBAAgB,CAAC,CAAC,CAAC,OAAOY,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,KAAK,KAAK,IAAI,EAAEZ,EAAE,KAAK,uBAAuB,KAAK,MAAM,EAAE,EAAE,CAAC,EAAE,QAAQ8B,KAAK,KAAK,OAAO,CAAC,IAAIC,EAAED,EAAE,aAAa,EAAEE,EAAEF,EAAE,UAAU,EAAE,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,aAAa,OAAO,IAAI,CAAC,IAAIc,EAAEd,EAAE,aAAa,GAAGe,EAAEq2D,GAAG,QAAQp3D,EAAE,CAAC,EAAEgB,EAAE,CAAC,EAAE,GAAG,KAAK,eAAe,IAAID,CAAC,EAAE,CAAC,GAAGD,EAAE,SAAS,GAAG,CAAC,KAAK,UAAUA,EAAE,QAAQ,EAAEE,EAAEF,EAAE,QAAQ,OAAOoB,EAAN,CAAS,QAAQ,KAAK,SAASlC,EAAE,uDAAuDc,EAAE,iHAAiH,EAAEE,EAAE,CAAC,CAAC,CAAC,GAAGF,EAAE,cAAc,OAAO,EAAE,CAAC,IAAIoB,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAErB,EAAE,cAAc,OAAOqB,IAAI,CAAC,IAAIoD,EAAEzE,EAAE,cAAcqB,GAAG,EAAErB,EAAE,YAAYqB,GAAGQ,EAAE7B,EAAE,cAAcqB,GAAGS,EAAEw0D,GAAG,QAAQ7xD,EAAE,CAAC,EAAE1C,EAAE3E,EAAE0E,GAAGC,GAAG,OAAOA,EAAE,GAAGX,EAAE,KAAK,CAACqD,EAAE,KAAK1C,EAAEF,EAAE3B,CAAC,CAAC,CAAC,CAAC,EAAE,KAAKkB,CAAC,CAAC,CAAC,CAAC,CAAC,IAAItB,EAAE,CAAC,EAAEA,EAAE,KAAKZ,EAAE,KAAKY,EAAE,UAAUX,EAAEW,EAAE,OAAOV,EAAEU,EAAE,aAAa,EAAE,EAAE,KAAKA,CAAC,CAAC,CAAC9B,EAAE,OAAO,EAAE,IAAIP,EAAE,CAAC,EAAE,QAAQyB,EAAE,EAAEA,EAAE,KAAK,YAAY,OAAOA,IAAI,CAAC,IAAIC,EAAE,KAAK,YAAYD,GAAGE,EAAE,KAAK,uBAAuBF,GAAG,EAAEo3D,GAAG,QAAQn3D,EAAEC,CAAC,EAAE,GAAG,CAAC,KAAK,eAAe,IAAI,CAAC,EAAE,SAAS,IAAIU,EAAE1C,EAAE,GAAG0C,GAAG,OAAOA,EAAE,GAAG,IAAI,EAAE,KAAK,yBAAyBZ,GAAGzB,EAAE,KAAK,CAAC0B,EAAE,KAAKW,EAAE,CAAC,CAAC,CAAC,CAAC9B,EAAE,YAAYP,EAAE,IAAIwB,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,KAAK,aAAa,OAAOA,IAAI,CAAC,IAAIC,EAAE,KAAK,aAAaD,GAAGE,EAAE,KAAK,wBAAwBF,GAAG,EAAEo3D,GAAG,QAAQn3D,EAAEC,CAAC,EAAE,GAAG,CAAC,KAAK,eAAe,IAAI,CAAC,EAAE,SAAS,IAAIU,EAAE1C,EAAE,GAAG0C,GAAG,OAAOA,EAAE,GAAG,IAAI,EAAE,KAAK,0BAA0BZ,GAAGD,EAAE,KAAK,CAACE,EAAE,KAAKW,EAAE,CAAC,CAAC,CAAC,CAAC,OAAO9B,EAAE,aAAaiB,EAAEjB,CAAC,CAAC,OAAO,WAAWA,EAAEZ,EAAE,EAAE,CAAC,EAAEK,EAAE,GAAG,CAAC,IAAIwB,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,SAASC,EAAEkC,EAAEoD,EAAE,CAACpD,EAAE,QAAQnC,EAAEA,EAAEmC,EAAE,MAAM,KAAKoD,CAAC,EAAEvF,EAAEmC,EAAE,MAAM,CAACoD,CAAC,CAAC,CAAC,SAASrF,EAAEiC,EAAEoD,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE5C,EAAE,QAAQC,KAAK2C,EAAE,CAAC,IAAI1C,EAAED,EAAE,GAAGE,EAAEF,EAAE,GAAG4C,EAAE5C,EAAE,GAAG,GAAGD,EAAEC,EAAE,IAAI,KAAK,CAAC,EAAEA,EAAE,GAAG,EAAEC,KAAK9C,GAAG,CAACE,EAAEkC,EAAEoD,CAAC,EAAE,MAAM,CAAC,IAAIvC,EAAEjD,EAAE8C,GAAG,GAAGG,EAAE,aAAa,QAAQF,EAAE,CAAC7C,EAAEkC,EAAEoD,CAAC,EAAE,MAAM,CAAC,IAAIE,EAAEzC,EAAE,aAAaF,GAAG,EAAE,KAAK2C,EAAE,cAAcD,EAAE,CAAC,CAAC,EAAE,OAAO,GAAGrD,EAAE,MAAMoiD,GAAG,CAAC,EAAE5hD,CAAC,CAAC,CAAC,SAAS,EAAER,EAAE,CAAC,IAAIoD,EAAEpD,EAAE,KAAK,EAAE4xD,GAAG5xD,EAAEjE,EAAE,eAAe,KAAKA,EAAE,cAAc,CAAC,CAAC,EAAE,EAAE,6BAA6BK,CAAC,EAAEwB,EAAEwF,GAAG,EAAEpD,EAAE,aAAa,QAAQS,GAAG,CAAC,GAAG,EAAEA,aAAa,OAAO,MAAM,IAAIohD,EAAE,yDAAyDphD,GAAG,EAAE3C,EAAE,EAAE2C,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIhC,EAAE1C,EAAE,KAAK,EAAEA,EAAE,OAAO,QAAQiE,KAAK,EAAE,EAAEA,CAAC,EAAE,KAAK,CAAC+iD,GAAGllD,CAAC,GAAG,QAAQmC,KAAK,EAAE,CAAC,IAAIoD,EAAExF,EAAEoC,EAAE,MAAM,GAAGoD,EAAE,QAAQvF,EAAE,CAAC,IAAI,EAAEA,EAAEuF,EAAE,MAAM,OAAOvF,EAAEuF,EAAE,MAAM,QAAQ5C,KAAK,EAAEzC,EAAEqF,EAAE5C,CAAC,CAAC,CAAC,CAAC,IAAI7B,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAEC,EAAE9C,EAAE,YAAY,QAAQiE,KAAKnB,EAAE,CAAC,IAAIuE,EAAEpD,EAAE,GAAG,EAAEA,EAAE,GAAGQ,EAAER,EAAE,GAAGkiD,GAAG9+C,KAAKxF,CAAC,EAAE,IAAI8C,EAAE9C,EAAEwF,GAAG,aAAa,GAAG,cAAczE,EAAE,KAAK+B,EAAEF,EAAE,CAAC,CAAC,IAAIT,EAAEhE,EAAE,aAAa,QAAQiE,KAAKD,EAAE,CAAC,IAAIqD,EAAEpD,EAAE,GAAG,EAAEA,EAAE,GAAGQ,EAAER,EAAE,GAAGkiD,GAAG9+C,KAAKxF,CAAC,EAAE,IAAI8C,EAAE9C,EAAEwF,GAAG,aAAa,GAAG,cAAcxE,EAAE,KAAK8B,EAAEF,EAAE,CAAC,CAAC,OAAO,IAAI7D,EAAE,CAAC,OAAOgC,EAAE,QAAQC,EAAE,KAAKH,CAAC,CAAC,CAAC,CAAC,IAAI,UAAU,CAAC,GAAG,KAAK,UAAU,MAAM,IAAIojD,EAAE,sLAAsL,EAAE,QAAQllD,KAAK,KAAK,OAAO,GAAGA,EAAE,SAAS,MAAM,GAAG,MAAM,EAAE,CAAC,aAAa,CAAC2yB,EAAE,IAAI,CAAC,KAAK,OAAO,QAAQ3yB,GAAG,CAACA,EAAE,UAAUA,EAAE,YAAY,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAASu4D,GAAGr5D,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,EAAE,OAAO,GAAGN,GAAG,MAAM,MAAM,QAAQA,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,EAAE,IAAIO,GAAG,IAAI,EAAE,GAAGD,IAAI,EAAE,OAAO,MAAM,QAAQN,CAAC,GAAGA,EAAE,SAAS,EAAEA,EAAE,OAAOA,GAAG,UAAU,EAAE,KAAKA,EAAE,CAACA,EAAE,EAAE,GAAG,EAAE,CAACA,CAAC,EAAE,GAAG,MAAM,QAAQA,CAAC,EAAE,CAAC,GAAGA,EAAE,SAASM,EAAE,MAAM,IAAI,MAAM,YAAYJ,oBAAoBF,EAAE,wCAAwCM,0EAA0E,EAAE,OAAON,CAAC,SAAS,OAAOA,GAAG,UAAU,OAAO,KAAKA,CAAC,EAAE,OAAO,GAAG,OAAOA,EAAE,OAAO,KAAKA,CAAC,EAAE,KAAK,SAAS,CAAC,IAAIO,EAAE,CAAC,EAAE,OAAO,EAAE,QAAQ,GAAG,CAAC,KAAKP,EAAEO,EAAE,KAAKP,EAAE,EAAE,EAAEO,EAAE,KAAK,IAAI,CAAC,CAAC,EAAEA,CAAC,KAAM,OAAM,IAAI,MAAM,2BAA2BD,kBAAkBJ,kCAAkCI,gCAAgC,oBAAoBJ,qBAAqB,KAAK,UAAUF,CAAC,GAAG,CAAC,CAAC,SAASs5D,GAAGt5D,EAAE,EAAE,CAAC,OAAOq5D,GAAGr5D,EAAE,EAAE,aAAa,CAAC,CAAC,eAAeu5D,GAAGv5D,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAG,GAAG,MAAMA,GAAG,KAAK,MAAM,IAAI,MAAM,6CAA6C,EAAE,GAAGJ,GAAG,KAAK,CAAC,IAAIK,EAAEkzB,EAAE,IAAI,CAAC,GAAGzzB,EAAE,MAAM,SAAS,EAAE,OAAO2wB,GAAG3wB,CAAC,EAAE,GAAGA,EAAE,MAAM,SAAS,EAAE,CAAC,GAAGA,EAAE,MAAM,GAAG,EAAE,OAAOk6B,GAAGl6B,EAAE,CAAC,EAAE,GAAGA,EAAE,MAAM,KAAK,EAAE,OAAOk8B,EAAEl8B,EAAE,CAACA,EAAE,MAAM,EAAE,CAAC,EAAE,MAAM,IAAI,MAAM,+CAA+CA,EAAE,MAAM,wEAAwE,CAAC,KAAM,OAAM,IAAI,MAAM,yCAAyCA,EAAE,4EAA4E,CAAC,CAAC,EAAE,EAAE,MAAM,KAAK,MAAMO,EAAE,KAAK,CAAC,EAAEmzB,GAAGnzB,CAAC,EAAE,IAAI,EAAE,CAAC,EAAE,OAAO,EAAE,QAAQ0B,GAAG,CAAC,GAAG/B,EAAE+B,IAAI,KAAK,MAAM,IAAI,MAAM,wEAAwEA,6CAA6C,EAAE,EAAE,KAAK/B,EAAE+B,EAAE,CAAC,CAAC,EAAEkuC,GAAG,EAAE,SAAS,CAAC,KAAM,QAAO,IAAI,CAAC,SAASqpB,GAAGx5D,EAAE,EAAE,CAAC,OAAOo5B,EAAEp5B,EAAE,CAAC,CAAC,CAAC,IAAIy5D,GAAG,GAAG,SAASC,GAAG15D,EAAE,EAAE,CAAC,IAAIE,EAAEI,EAAEC,EAAE,EAAEL,EAAEK,EAAE,GAAGD,EAAEC,EAAE,GAAGumB,EAAE,OAAO5mB,GAAG,MAAMI,GAAG,KAAK,IAAI,mPAAmP,GAAG,EAAE,IAAI,EAAEq5D,GAAG,QAAQ35D,EAAE,WAAWE,CAAC,EAAE,EAAEy5D,GAAG,SAAS35D,EAAE,YAAYM,CAAC,EAAE2B,EAAE,EAAE,GAAG,MAAM,GAAG6kB,EAAE,OAAO,EAAE,SAAS9mB,EAAE,OAAO,OAAO,IAAI,mBAAmBA,EAAE,OAAO,2CAA2C,EAAE,yCAAyC,KAAK,UAAUA,EAAE,UAAU,IAAI,EAAE8mB,EAAE,OAAO,EAAE,SAAS9mB,EAAE,QAAQ,OAAO,IAAI,mBAAmBA,EAAE,QAAQ,4CAA4C,EAAE,2CAA2C,KAAK,UAAUA,EAAE,WAAW,IAAI,EAAE,QAAQkC,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI4kB,EAAE,OAAO,EAAE5kB,GAAG,MAAM,KAAKD,EAAE,IAAI,8BAA8BjC,EAAE,WAAWkC,UAAU,EAAEA,GAAG,MAAM,iBAAiBD,oBAAoBjC,EAAE,WAAW,KAAK,EAAE,QAAQkC,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI4kB,EAAE,OAAO,EAAE5kB,GAAG,MAAM,KAAKD,EAAE,IAAI,+BAA+BjC,EAAE,YAAYkC,UAAU,EAAEA,GAAG,MAAM,iBAAiBD,oBAAoBjC,EAAE,WAAW,KAAK,EAAE,MAAM,CAAC,GAAG,EAAE,GAAG,CAAC,CAAC,CAAC,SAAS25D,GAAG35D,EAAE,EAAEE,EAAE,CAAC,GAAGA,aAAa2pB,GAAG,MAAM,CAAC3pB,CAAC,EAAE,GAAG,MAAM,QAAQA,CAAC,EAAE,OAAO4mB,EAAE,OAAO5mB,EAAE,SAAS,EAAE,OAAO,IAAI,wBAAwBA,EAAE,gCAAgC,EAAE,uBAAuBF,UAAU,IAAI,EAAEE,EAAE,CAAC,IAAII,EAAE,CAAC,EAAE,QAAQC,KAAK,EAAE,CAAC,GAAGL,EAAEK,IAAI,KAAK,MAAM,IAAIylD,EAAE,gEAAgEhmD,UAAUO,KAAK,EAAED,EAAE,KAAKJ,EAAEK,EAAE,CAAC,CAAC,OAAOD,CAAC,CAAC,CAAC,SAASs5D,GAAG55D,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAIimD,GAAG,wDAAwD,EAAE,MAAM,CAAC,GAAGjmD,EAAE,GAAG,GAAGA,EAAE,EAAE,CAAC,CAAC,eAAe65D,GAAG75D,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEJ,EAAE,iBAAiB,KAAK,GAAG4mB,EAAE,OAAO9mB,EAAE,WAAW,KAAK,IAAI,gGAAgG,EAAE8mB,EAAE,OAAO5mB,GAAG,KAAK,IAAI,+FAA+F,EAAE4mB,EAAE,OAAO5mB,EAAE,QAAQ,MAAMA,EAAE,OAAO,GAAG,OAAO,UAAUA,EAAE,MAAM,EAAE,IAAI,iFAAiFA,EAAE,QAAQ,EAAE4mB,EAAE,OAAO,CAACxmB,GAAGJ,EAAE,gBAAgB,GAAG,OAAO,UAAUA,EAAE,eAAe,EAAE,IAAI,uGAAuGA,EAAE,iBAAiB,EAAE4mB,EAAE,OAAO5mB,EAAE,iBAAiB,KAAK,IAAI,mFAAmF,EAAEF,EAAE,WAAW,MAAM,IAAI,MAAM,8DAA8D,EAAEA,EAAE,WAAW,GAAG,GAAG,CAAC,IAAIO,EAAEL,EAAE,gBAAgB,KAAK,EAAE,EAAE,GAAGK,EAAE,GAAGu5D,GAAG55D,EAAE,cAAc,EAAE4mB,EAAE,OAAO5mB,EAAE,mBAAmB,MAAMA,EAAE,kBAAkB,GAAG,OAAO,UAAUA,EAAE,iBAAiB,EAAE,IAAI,iJAAiJA,EAAE,mBAAmB,MAAM,CAAC,IAAI,EAAE05D,GAAG15D,EAAE,cAAc,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,EAAE,CAAC,IAAI+B,EAAEjC,EAAE,kBAAkB,EAAEkC,EAAElC,EAAE,uBAAuB,EAAEmC,EAAE5B,EAAE4B,EAAED,EAAE,MAAM,EAAE,OAAOA,EAAE,IAAI,GAAG,OAAO,CAAC,CAAC,EAAEC,EAAED,EAAE,MAAM,EAAE,IAAIU,EAAEgzD,GAAG11D,EAAE,UAAUA,EAAE,UAAU,EAAE2C,EAAE3C,EAAE,SAAS,KAAK,EAAEA,EAAE,QAAQ,CAAC,aAAa4C,EAAE,QAAQC,CAAC,EAAE+yD,GAAGlzD,EAAEC,EAAE3C,EAAE,OAAO,KAAK,KAAK65D,GAAG,EAAE75D,CAAC,EAAE,KAAKK,EAAE4B,CAAC,EAAEW,EAAE,SAAS9C,CAAC,EAAEA,EAAE,QAAQ+C,EAAE,MAAMD,EAAE,aAAa,EAAE9C,EAAE,cAAc,GAAG,IAAIgD,EAAE9C,EAAE,cAAc,KAAK,EAAEA,EAAE,aAAagE,EAAE,MAAM,EAAE,SAAS,EAAE,KAAKlB,EAAE9C,EAAE,QAAQ,CAAC,IAAI,EAAE,CAAC,EAAE,MAAM4C,EAAE,aAAaE,CAAC,EAAE,IAAIuE,EAAE,EAAExC,EAAE,EAAE,IAAIzE,IAAI4D,EAAE,MAAM,EAAE,SAAS,GAAG,CAAC5D,GAAGiH,EAAErH,EAAE,iBAAiB,CAAC,IAAIyE,EAAE,MAAMT,EAAE,KAAK,EAAE,GAAG5D,GAAGqE,EAAE,KAAK,CAAC,QAAQ,KAAK,uCAAuCzE,EAAE,oEAAoEqH,2IAA2IrH,EAAE,gBAAgBA,EAAE,wFAAwF,EAAE,KAAK,CAAC,GAAGyE,EAAE,OAAO,KAAK,CAAC,GAAG,CAAC,GAAGC,EAAE,GAAGC,CAAC,EAAE60D,GAAG15D,EAAE2E,EAAE,KAAK,EAAEG,EAAE,CAAC,EAAEA,EAAE,MAAMC,EAAED,EAAE,KAAKF,EAAE,GAAG,MAAM,GAAG,MAAM9B,EAAE,aAAaiC,EAAED,CAAC,EAAE,IAAI0C,EAAE,CAAC,EAAE,GAAGtH,EAAE,aAAa,KAAK,CAAC,IAAI+E,EAAEq0D,GAAGp5D,EAAE,YAAYF,EAAE,WAAW,EAAE,QAAQkF,EAAE,EAAEA,EAAED,EAAE,OAAO,EAAEC,EAAEsC,EAAE,KAAK,MAAM+xD,GAAG10D,EAAEK,GAAG,KAAKD,EAAEC,EAAE,CAAC,CAAC,CAAC,IAAIF,EAAEJ,EAAE,OAAOC,CAAC,EAAE,OAAO2C,CAAC,EAAEC,EAAExF,EAAE+C,CAAC,EAAE0uB,GAAG1uB,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE/C,EAAE,OAAO,EAAE+C,EAAE,CAAC,IAAIC,EAAEhD,EAAE+C,GAAGE,EAAEsC,EAAExC,GAAGH,EAAEI,GAAGC,EAAEwuB,GAAGxuB,CAAC,CAAC,CAAC,MAAMrC,EAAE,WAAWiC,EAAED,CAAC,EAAEswD,GAAGtwD,CAAC,EAAEC,IAAIwC,GAAG,CAAC,GAAGjH,EAAEiH,GAAGrH,EAAE,gBAAgByE,EAAE,KAAK,CAAC,GAAGpE,EAAE,CAAC,IAAIqE,EAAEk1D,GAAG55D,EAAE,cAAc,EAAE0E,EAAE4hD,GAAG,MAAMxmD,EAAE,gBAAgBE,EAAE,eAAe,CAAC,QAAQA,EAAE,iBAAiB,CAAC,CAAC,EAAE0E,EAAE4hD,GAAGxmD,EAAE,SAAS,EAAE,EAAE,CAAC,UAAUE,EAAE,qBAAqB,KAAKu5D,GAAGv5D,EAAE,oBAAoB,QAAQ,CAAC,CAAC,CAAC,EAAE,QAAQ2E,EAAE,EAAEA,EAAE7E,EAAE,aAAa,OAAO,EAAE6E,EAAE,EAAE,OAAO7E,EAAE,aAAa6E,MAAMD,EAAEC,EAAE,CAAC,KAAK,CAAC,GAAG7E,EAAE,cAAc,KAAK,CAAC,GAAG,MAAM8C,EAAE,WAAWE,EAAE,CAAC,EAAEA,IAAIhD,EAAE,cAAc,KAAK,CAAC,OAAO,MAAM8C,EAAE,WAAW,EAAE,MAAM9C,EAAE,QAAQ,SAAS,EAAEA,EAAE,OAAO,QAAC,CAAQA,EAAE,WAAW,EAAE,CAAC,CAAC,SAAS+5D,GAAG/5D,EAAE,EAAE,CAAC,IAAIE,EAAE,KAAK,OAAO,EAAE,iBAAiB,KAAKA,EAAE,EAAE,gBAAgB,OAAO,SAASF,EAAE,IAAI,IAAIE,EAAEF,EAAE,MAAME,CAAC,CAAC,SAAS45D,GAAG95D,EAAE,CAAC,OAAO,OAAOA,EAAE,UAAU,UAAU,CAAC,SAASg6D,GAAGh6D,EAAE,CAAC,OAAO,OAAOA,EAAE,MAAM,UAAU,CAAC,eAAei6D,GAAGj6D,EAAE,EAAEE,EAAE,CAACA,EAAEA,GAAG,CAAC,EAAE,IAAII,EAAEJ,EAAE,SAAS,KAAKK,EAAEP,EAAE,aAAa,EAAE,CAAC,EAAE,GAAGE,EAAE,QAAQ,EAAE,MAAM,IAAI+lD,GAAG,sCAAsC,EAAEn/B,EAAE,OAAO,CAACxmB,GAAGJ,EAAE,QAAQ,GAAG,OAAO,UAAUA,EAAE,OAAO,EAAE,IAAI,wEAAwE,KAAK,UAAUA,EAAE,OAAO,GAAG,EAAE,IAAI,EAAE85D,GAAG,CAAC,EAAE,EAAE,MAAM,EAAE,SAAS,EAAE/3D,EAAE,EAAEC,EAAE,EAAE,KAAK,CAAC5B,GAAG4B,EAAEhC,EAAE,SAAS,CAAC,IAAIiC,EAAE,MAAM,EAAE,KAAK,EAAE,GAAG,EAAEsxB,EAAE,IAAI,CAAC,GAAGtxB,EAAE,MAAM,CAAC,GAAG,CAAC,GAAGS,EAAE,GAAGC,CAAC,EAAE62D,GAAG15D,EAAEmC,EAAE,KAAK,EAAEW,EAAEF,EAAE,OAAOC,CAAC,EAAEE,EAAE0wB,EAAE,IAAIlzB,EAAEuC,CAAC,CAAC,EAAE,GAAG4wB,GAAG5wB,CAAC,EAAEZ,IAAI,EAAE,QAAQgC,EAAE,EAAEA,EAAEnB,EAAE,OAAO,EAAEmB,EAAE,EAAE,KAAK2+B,GAAG,CAAC,CAAC,EAAE,IAAI7/B,EAAEF,EAAE,GAAG,MAAM,GAAG,QAAQoB,EAAE,EAAEA,EAAEnB,EAAE,OAAO,EAAEmB,EAAE,CAAC,IAAI,EAAEnB,EAAEmB,GAAGqD,EAAE,EAAErD,GAAG,EAAEA,GAAGuvB,EAAE,IAAIqF,EAAE,EAAE50B,GAAGk1B,EAAEp2B,EAAE,CAAC,CAAC,CAAC,EAAEd,EAAE,GAAGwxB,GAAGnsB,CAAC,CAAC,CAACmsB,GAAG3wB,CAAC,EAAEd,GAAGe,EAAE,EAAEd,CAAC,CAAC,OAAO,CAAC,CAAC,EAAEC,EAAE,KAAK,CAAC7B,GAAG,QAAQ,KAAK,gLAAgLJ,EAAE,yFAAyF,EAAE,KAAK,CAAC,CAAC,QAAQiC,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,CAAC,IAAIS,EAAE,EAAET,GAAG,EAAEA,GAAG+2B,GAAG,EAAE/2B,GAAGF,CAAC,EAAEyxB,GAAG9wB,CAAC,CAAC,CAAC,OAAO2jD,GAAG,CAAC,CAAC,CAAC,SAAS2T,GAAGl6D,EAAE,CAAC8mB,EAAE,OAAO9mB,EAAE,GAAG,OAAO,UAAUA,CAAC,EAAE,IAAI,2DAA2DA,GAAG,CAAC,CAAC,SAASm6D,GAAGn6D,EAAE,EAAEE,EAAE,CAAC,OAAOF,GAAG,KAAK,CAAC,IAAI,EAAE,MAAM,QAAQA,CAAC,EAAEA,EAAE,IAAIM,GAAGupD,GAAGvpD,EAAE,EAAEJ,EAAE,CAAC,CAAC,EAAE2pD,GAAG7pD,EAAE,EAAEE,EAAE,CAAC,CAAC,CAAC,SAASk6D,GAAGp6D,EAAE,EAAE,CAAC,OAAOyzB,EAAE,IAAIzzB,GAAG,KAAK,KAAK,MAAM,QAAQA,CAAC,EAAEA,EAAE,IAAIE,GAAGk6D,GAAGl6D,EAAE,CAAC,CAAC,EAAEmqD,GAAGrqD,EAAE,EAAE,QAAQ,QAAQ,EAAEywB,GAAE,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,SAAS4pC,GAAGr6D,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEI,EAAE,EAAEC,EAAE,KAAK,KAAKD,EAAEN,GAAGO,EAAED,EAAE,EAAEC,GAAGP,IAAIO,EAAEP,GAAGE,EAAE,KAAK,CAACI,EAAEC,CAAC,CAAC,EAAED,EAAEC,EAAE,OAAOL,CAAC,CAAC,eAAeo6D,GAAGt6D,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAEC,EAAEC,EAAEC,EAAEC,EAAE,CAACzC,GAAG,OAAOA,EAAE,IAAI,GAAG,OAAO,EAAE,GAAGqC,GAAG,OAAOA,EAAE,IAAIE,GAAG,OAAOA,EAAE,GAAG,IAAIoB,EAAE,GAAG,GAAGhC,GAAG,MAAMC,GAAG,OAAO+B,EAAE,IAAIlB,GAAG,OAAOkB,EAAE,GAAGnB,GAAG,MAAM,MAAM,IAAIijD,EAAE,kGAAkG,EAAE,IAAI,EAAEhmD,EAAE,gBAAgBE,EAAEK,EAAEwC,EAAE,iBAAiB,EAAEwE,EAAE,GAAG,OAAOA,EAAE4hD,GAAG,EAAE,CAAC,GAAG,GAAG,OAAO,EAAE,GAAG,GAAG,CAAC,aAAapkD,EAAE,QAAQJ,CAAC,EAAEmxD,GAAG7zD,EAAE,EAAE,EAAEa,EAAE,EAAEC,EAAExC,EAAE2D,EAAErB,CAAC,EAAEkC,EAAE,SAAS/E,CAAC,EAAEA,EAAE,QAAQ2E,EAAE,MAAMI,EAAE,aAAa,EAAE/E,EAAE,cAAc,GAAG,QAAQ4E,EAAE9B,EAAE8B,EAAE,EAAE,EAAEA,EAAE,CAAC,MAAMG,EAAE,aAAaH,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAE,GAAG9B,GAAG,KAAK,MAAM,IAAIkjD,GAAG,4CAA4C,EAAE,CAAC,GAAGrjD,IAAI,QAAQ,MAAM,IAAIqjD,GAAG,wCAAwC,EAAErjD,GAAGkkB,EAAE,QAAQvf,CAAC,EAAE,IAAIzC,EAAEqrC,GAAG5oC,CAAC,EAAEC,EAAE6yD,GAAG,EAAE95D,CAAC,EAAE,QAAQyE,EAAE,EAAEA,EAAEwC,EAAE,OAAO,EAAExC,EAAE,CAAC,IAAIyC,EAAE,CAAC,EAAE,GAAG,MAAM1C,EAAE,aAAaC,EAAEyC,CAAC,EAAEgsB,EAAE,IAAI,CAAC,IAAIxuB,EAAEuC,EAAExC,GAAG,GAAGE,EAAEsC,EAAExC,GAAG,GAAGG,EAAE0kD,GAAG/kD,EAAEG,EAAEC,EAAED,CAAC,EAAEwC,EAAE,MAAMzC,EAAEyC,EAAE,KAAKvC,EAAED,EAAE,IAAIG,EAAEg1D,GAAGl6D,EAAEiF,CAAC,EAAEE,EAAE,EAAED,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEhF,EAAE,OAAO,EAAEgF,EAAE,CAAC,IAAI2C,EAAE3H,EAAEgF,GAAGqC,EAAEtC,EAAEC,GAAGmC,EAAEQ,GAAGN,EAAEgsB,GAAGhsB,CAAC,CAAC,CAAC,GAAG3C,IAAIwC,EAAE,OAAO,GAAGtD,EAAE,CAAC,IAAIoB,EAAEtF,EAAE,SAASkC,EAAEC,EAAE5B,CAAC,EAAE,QAAQ0H,EAAE,EAAEA,EAAE3H,EAAE,OAAO,EAAE2H,EAAE,CAAC,IAAIN,EAAErH,EAAE2H,GAAGC,EAAE5C,EAAE2C,GAAG0rB,GAAGzrB,CAAC,EAAErD,EAAE,OAAO8C,GAAGO,CAAC,CAAC,CAAC,CAAC,EAAE,MAAMnD,EAAE,WAAWC,EAAEyC,CAAC,EAAE2tD,GAAG3tD,CAAC,EAAEzH,EAAE,cAAc,KAAK,CAAC8E,EAAE,QAAQ,CAAC,CAAC,GAAG,MAAMC,EAAE,WAAWH,EAAEC,CAAC,EAAE7E,EAAE,cAAc,KAAK,CAAC,OAAO,MAAM+E,EAAE,WAAW,EAAE,MAAM/E,EAAE,QAAQ,SAAS,EAAEA,EAAE,OAAO,CAAC,eAAeu6D,GAAGv6D,EAAE,EAAEE,EAAEI,EAAE,CAAC,EAAE,CAAC,GAAGN,EAAE,WAAW,MAAM,IAAI,MAAM,8DAA8D,EAAEA,EAAE,WAAW,GAAG,IAAIO,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAEC,EAAEC,EAAE,GAAG,CAAC,IAAIC,EAAEzC,EAAE,WAAW,KAAK,GAAGA,EAAE,UAAU45D,GAAGn3D,CAAC,EAAE,IAAIC,EAAE,GAAGkB,EAAE,MAAMlE,EAAE,oBAAoB,EAAEE,EAAEI,EAAE,aAAaA,EAAE,YAAY0C,EAAED,CAAC,EAAExC,EAAE2D,EAAE,GAAG,EAAEA,EAAE,GAAGpB,EAAEoB,EAAE,GAAG,IAAI,EAAE,GAAGqD,EAAE,GAAGjH,EAAE,gBAAgB,MAAMA,EAAE,eAAe,OAAO,EAAE,CAAC,GAAG,EAAE,GAAGA,EAAE,eAAe,SAAS,EAAE4B,EAAE5B,EAAE,eAAe,GAAG6B,EAAE7B,EAAE,eAAe,OAAQ,OAAMA,EAAE,eAAe,SAAS,EAAE,IAAI2lD,GAAG,+DAA+D,EAAE,IAAID,EAAE,0GAA0G1lD,EAAE,4BAA4B,EAAE,IAAImH,EAAE,GAAGxC,EAAE,MAAMjF,EAAE,oBAAoBkC,EAAEC,EAAE,KAAK,KAAKsF,EAAE1E,CAAC,EAAEH,EAAEqC,EAAE,GAAGpC,EAAEoC,EAAE,GAAGsC,EAAE3E,EAAE,OAAOC,CAAC,CAAC,SAASvC,EAAE,iBAAiB,MAAMA,EAAE,gBAAgB,GAAGA,EAAE,gBAAgB,EAAE,CAAC,EAAE,GAAG,IAAImH,EAAE,KAAK,MAAMlH,EAAE,GAAG,MAAM,IAAI,EAAED,EAAE,gBAAgB,EAAE2E,EAAE1E,EAAE,GAAG,MAAM,GAAGqC,EAAEu3D,GAAG55D,EAAEkH,EAAExC,CAAC,EAAE,EAAE1E,EAAEA,EAAE45D,GAAG55D,EAAE,EAAEkH,CAAC,EAAE5E,EAAEs3D,GAAG,EAAE1yD,EAAExC,CAAC,EAAEhD,EAAE,EAAE,EAAEk4D,GAAG,EAAE,EAAE1yD,CAAC,EAAEF,EAAE3E,EAAE,OAAOC,CAAC,CAAC,MAAMvC,EAAE,iBAAiB,OAAO,EAAE,IAAI,IAAIyE,EAAExE,EAAE,OAAO,CAAC,EAAE,OAAOuC,CAAC,EAAE9C,EAAE,iCAAiC,EAAE,IAAI2E,EAAE3E,EAAE,kBAAkB,EAAE4E,EAAE5E,EAAE,uBAAuB,EAAE6E,EAAEC,EAAE,GAAG9E,EAAE,iBAAiB,EAAE6E,EAAE7E,EAAE,aAAa8E,EAAEF,EAAE,MAAM,EAAE,OAAOA,EAAE,IAAI6C,GAAG,OAAOA,CAAC,CAAC,IAAI5C,EAAE,KAAK0C,EAAE,CAAC,EAAEzC,EAAEF,EAAE,MAAM,GAAG,IAAI4C,EAAEouD,GAAGt1D,EAAE,UAAUA,EAAE,UAAU,EAAE,OAAO,MAAMg6D,GAAGt6D,EAAE2E,EAAEI,EAAEH,EAAE7B,EAAEzC,EAAE,OAAOA,EAAE,QAAQkH,EAAE3C,EAAE0C,EAAEjH,EAAE,QAAQwE,EAAExE,EAAE,aAAa,KAAK,IAAI,CAAC,QAAC,CAAQN,EAAE,WAAW,GAAGw6D,GAAGj6D,EAAE,CAAC,EAAEi6D,GAAG,EAAEt6D,CAAC,EAAEs6D,GAAG,EAAE,CAAC,EAAEA,GAAGv4D,EAAE/B,CAAC,EAAEs6D,GAAG53D,EAAEV,CAAC,EAAEs4D,GAAG33D,EAAEV,CAAC,EAAEW,GAAG,MAAM4wB,GAAG5wB,CAAC,CAAC,CAAC,CAAC,SAAS23D,GAAGz6D,EAAE,CAAC,IAAI,EAAE,CAAC,EAAEA,aAAa6pB,KAAK7pB,EAAE,CAACA,CAAC,GAAG,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAEE,GAAG,GAAGI,EAAE,OAAO,EAAE,EAAE,KAAKkpD,GAAGlpD,EAAE,CAAC,CAAC,MAAM,CAAC,GAAGA,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,uEAAuE,EAAE,EAAE,KAAKA,CAAC,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,SAASk6D,GAAGx6D,EAAE,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,IAAIE,EAAE,CAAC,EAAE,GAAG,aAAa2pB,GAAG3pB,EAAE,KAAK,EAAE,EAAE,UAAU,MAAM,QAAQ,CAAC,EAAE,EAAE,QAAQK,GAAGL,EAAE,KAAKK,EAAE,EAAE,CAAC,UAAU,GAAG,KAAK,QAAQA,KAAK,EAAE,CAAC,IAAI,EAAE,EAAEA,GAAGL,EAAE,KAAK,EAAE,EAAE,CAAC,CAAC,IAAII,EAAE,CAAC,EAAE,GAAGN,aAAa6pB,GAAG3pB,EAAE,QAAQF,EAAE,EAAE,IAAI,IAAIM,EAAE,KAAKN,CAAC,UAAU,MAAM,QAAQA,CAAC,EAAEA,EAAE,QAAQO,GAAG,CAACL,EAAE,QAAQK,EAAE,EAAE,IAAI,IAAID,EAAE,KAAKC,CAAC,CAAC,CAAC,UAAUP,GAAG,KAAK,QAAQO,KAAKP,EAAE,CAAC,IAAI,EAAEA,EAAEO,GAAGL,EAAE,QAAQ,EAAE,EAAE,IAAI,IAAII,EAAE,KAAK,CAAC,CAAC,CAACA,EAAE,QAAQC,GAAG,CAACA,EAAE,YAAYA,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,SAASm6D,GAAG16D,EAAE,CAAC,OAAOA,aAAa6pB,EAAE,CAAC,SAAS8wC,GAAG36D,EAAE,CAAC,OAAO,MAAM,QAAQA,CAAC,CAAC,CAAC,SAAS46D,GAAG56D,EAAE,CAAC,MAAM,CAAC06D,GAAG16D,CAAC,GAAG,CAAC26D,GAAG36D,CAAC,CAAC,CAAC,SAAS66D,GAAG76D,EAAE,EAAEE,EAAEI,EAAE,GAAGC,EAAE,GAAG,CAAC,GAAG,GAAG,MAAM,EAAE,SAAS,EAAE,CAAC,GAAGP,GAAG,KAAK,CAAC,IAAI,EAAE,GAAG,GAAG26D,GAAG36D,CAAC,GAAGA,EAAE,OAAO,EAAE,EAAE,WAAW46D,GAAG56D,CAAC,GAAG,QAAQiC,KAAKjC,EAAE,GAAGA,EAAE,eAAeiC,CAAC,EAAE,CAAC,EAAE,GAAG,KAAK,OAAO,EAAE,GAAG,GAAG,EAAE,MAAM,IAAI+jD,EAAE,6BAA6BzlD,+BAA+BP,GAAG,CAAC,CAAC,MAAM,CAAC,CAAC,CAAC,GAAGA,GAAG,KAAK,OAAO,EAAE,IAAI,GAAG,IAAI,EAAE,IAAI,EAAE,GAAG46D,GAAG56D,CAAC,EAAE,CAACA,EAAEA,EAAE,EAAE,CAAC,EAAE,QAAQ,KAAK,EAAE,CAAC,GAAGA,EAAE,IAAI,KAAK,MAAM,IAAIgmD,EAAE,yBAAyB,kCAAkC,GAAG,EAAE,EAAE,KAAKhmD,EAAE,EAAE,CAAC,CAAC,SAAS26D,GAAG36D,CAAC,EAAE,CAAC,GAAGA,EAAEA,EAAEA,EAAE,SAAS,EAAE,OAAO,MAAM,IAAIgmD,EAAE,6BAA6BzlD,kHAAkH,EAAE,sEAAsEP,GAAG,EAAE,EAAEA,CAAC,KAAK,CAAC,GAAGA,EAAEA,EAAE,EAAE,OAAO,EAAE,MAAM,IAAIgmD,EAAE,aAAazlD,aAAa,EAAE,4EAA4EP,EAAE,OAAO,EAAE,EAAE,CAACA,CAAC,CAAC,CAAC,GAAG,EAAEy6D,GAAG,CAAC,EAAEv6D,GAAG,KAAK,QAAQ,EAAE,EAAE,EAAE,EAAE,OAAO,EAAE,EAAE,CAAC,GAAGA,EAAE,IAAI,KAAK,SAAS,IAAI+B,EAAE,EAAE,GAAG,GAAGA,EAAE,MAAM,SAAS/B,EAAE,GAAG,OAAO,MAAM,IAAI8lD,EAAE,uBAAuBzlD,eAAe,EAAE,cAAcL,EAAE,GAAG,iDAAiD+B,EAAE,OAAO,EAAE,QAAQC,EAAE,EAAEA,EAAEhC,EAAE,GAAG,OAAO,EAAEgC,EAAE,CAAC,GAAGA,IAAI,GAAG,CAAC5B,EAAE,SAAS,IAAI6B,EAAEF,EAAE,MAAMC,GAAGU,EAAE1C,EAAE,GAAGgC,GAAG,GAAGU,GAAG,MAAMA,GAAG,GAAGT,IAAIS,EAAE,MAAM,IAAIojD,EAAE,GAAGzlD,gEAAgEL,EAAE,GAAG,MAAM,EAAEA,EAAE,GAAG,MAAM,4BAA4BA,EAAE,GAAG,MAAM,EAAEA,EAAE,GAAG,MAAM,eAAeK,4BAA4B0B,EAAE,MAAM,iCAAiCA,EAAE,MAAM,MAAM,EAAEA,EAAE,MAAM,MAAM,qBAAqBA,EAAE,SAAS,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,SAAS64D,GAAG96D,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE2mD,GAAGjnD,EAAE,IAAI,GAAG,EAAE,MAAM,EAAE,CAAC,EAAEM,EAAE,KAAK,EAAE,IAAIC,EAAE0mD,GAAG,EAAE,IAAI,GAAG,EAAE,MAAM,EAAE,CAAC,EAAE,GAAG1mD,EAAE,KAAK,EAAED,EAAE,OAAO,EAAE,MAAM,IAAI0lD,EAAE,mFAAmF,KAAK,UAAUhmD,EAAE,IAAI,GAAG,EAAE,KAAK,CAAC,GAAG,EAAE,GAAGO,EAAE,OAAO,EAAE,MAAM,IAAIylD,EAAE,oFAAoF,KAAK,UAAU,EAAE,IAAI,GAAG,EAAE,KAAK,CAAC,GAAG,EAAE,GAAG1lD,EAAE,OAAO,GAAGC,EAAE,OAAO,GAAG,CAACumB,EAAE,YAAYxmB,EAAEC,CAAC,EAAE,MAAM,IAAIylD,EAAE,iFAAiF1lD,EAAE,0BAA0BC,EAAE,sBAAsB,CAAC,CAAC,SAASw6D,GAAG/6D,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,CAAC21D,GAAGW,GAAGH,EAAE,EAAE,QAAQl2D,EAAE,EAAEA,EAAEP,EAAE,OAAO,EAAEO,EAAE,CAAC,IAAI,EAAEP,EAAEO,GAAG,EAAE,EAAEA,GAAG0B,EAAE/B,EAAEK,GAAG,GAAG,GAAG,KAAK,CAAC,GAAG,IAAIk2D,IAAI,EAAE,MAAM,EAAE,MAAM,OAAO,KAAK,EAAE,MAAM,IAAIzQ,EAAE,2CAA2C,EAAE,+JAA+J,EAAE,GAAG1lD,EAAE,QAAQ,CAAC,IAAI,GAAG,CAAC,IAAI4B,EAAE,EAAE,MAAM,MAAM,CAAC,EAAEC,EAAEF,EAAE,MAAM,CAAC,EAAE,QAAQW,EAAE,EAAEA,EAAEV,EAAE,OAAO,EAAEU,EAAE,CAAC,IAAIC,EAAEX,EAAEU,GAAGE,EAAEX,EAAES,GAAG,GAAGE,GAAG,MAAMD,IAAIC,EAAE,MAAM,IAAIkjD,EAAE,8BAA8B,EAAE,2CAA2C/jD,2FAA2F,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS+4D,GAAGh7D,EAAE,EAAEE,EAAEI,EAAE,GAAGC,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,MAAM,QAAQP,CAAC,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,MAAM,IAAIgmD,EAAE,6BAA6BzlD,sHAAsH,EAAE,qCAAqCP,EAAE,oBAAoB,EAAE,EAAEA,CAAC,KAAK,CAAC,GAAG,EAAE,OAAO,EAAE,MAAM,IAAIgmD,EAAE,qBAAqB,EAAE,UAAUzlD,oEAAoE,KAAK,UAAUP,EAAE,KAAK,IAAI,EAAE,EAAE,CAACA,CAAC,CAAC,CAAC,GAAGE,GAAG,KAAK,QAAQ,EAAE,EAAE,EAAE,EAAE,OAAO,EAAE,EAAE,CAAC,GAAGA,EAAE,IAAI,KAAK,SAAS,IAAI+B,EAAE,EAAE,GAAG,GAAGA,EAAE,MAAM,SAAS/B,EAAE,GAAG,OAAO,MAAM,IAAI8lD,EAAE,uBAAuBzlD,eAAe,EAAE,cAAcL,EAAE,GAAG,iDAAiD,KAAK,UAAU+B,EAAE,KAAK,GAAG,EAAE,QAAQC,EAAE,EAAEA,EAAEhC,EAAE,GAAG,OAAO,EAAEgC,EAAE,CAAC,GAAGA,IAAI,GAAG,CAAC5B,EAAE,SAAS,IAAI6B,EAAEF,EAAE,MAAMC,GAAGU,EAAE1C,EAAE,GAAGgC,GAAG,GAAGU,GAAG,MAAMA,IAAIT,EAAE,MAAM,IAAI6jD,EAAE,uBAAuBzlD,eAAe,EAAE,oBAAoB,KAAK,UAAUL,EAAE,EAAE,8BAA8B,KAAK,UAAU+B,EAAE,KAAK,IAAI,CAAC,CAAC,CAAC,CAAC,SAASg5D,GAAGj7D,EAAE,EAAE,CAAC,GAAGA,GAAG,MAAM,MAAM,QAAQA,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,EAAE,IAAIM,GAAG,CAAC,CAAC,EAAE,IAAIJ,EAAE,GAAG,OAAOF,GAAG,UAAU,OAAOA,GAAG,WAAWE,EAAE,CAACF,CAAC,UAAU,MAAM,QAAQA,CAAC,GAAG,OAAOA,GAAG,SAASE,EAAEF,MAAO,OAAM,IAAI,UAAU,kGAAkGA,GAAG,EAAE,GAAG,MAAM,QAAQE,CAAC,EAAE,OAAO,EAAE,IAAII,GAAGJ,CAAC,EAAE,CAAC,IAAII,EAAE,CAAC,EAAE,QAAQC,KAAK,EAAE,CAAC,IAAI,EAAEL,EAAE,eAAeK,CAAC,EAAEL,EAAEK,GAAG,CAAC,EAAE,MAAM,QAAQ,CAAC,IAAI,EAAE,CAAC,CAAC,GAAGD,EAAE,KAAK,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,CAAC,IAAI46D,GAAG,eAAeC,GAAG,cAAc/B,EAAE,CAAC,YAAYt4D,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,WAAW,EAAE,CAAC,QAAQA,EAAEZ,EAAE,EAAE,QAAQ,IAAI,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,IAAI8lD,EAAE,8KAA8K,EAAE0S,GAAG,KAAK53D,EAAEZ,EAAE,CAAC,CAAC,CAAC,QAAQY,EAAE,CAAC,GAAGA,EAAE,MAAM,OAAOA,EAAE,KAAK,CAAC,GAAG,KAAK,KAAKA,EAAE,KAAK,OAAOA,EAAE,WAAW,SAAS,KAAK,WAAWy3D,GAAGz3D,EAAE,SAAS,EAAE,KAAK,iBAAiB,OAAO,CAAC,GAAG,EAAEA,EAAE,qBAAqB84C,IAAI,MAAM,IAAIoM,EAAE,6DAA6D,EAAE,KAAK,WAAWllD,EAAE,UAAU,KAAK,iBAAiB,EAAE,CAAC,IAAIZ,EAAE,CAAC,EAAE,GAAG,CAAC,MAAM,QAAQY,EAAE,IAAI,GAAG,OAAOA,EAAE,MAAM,UAAU,OAAOA,EAAE,MAAM,WAAW,CAACA,EAAE,KAAKA,EAAE,KAAK,QAAQkB,KAAKlB,EAAE,KAAK,GAAG,KAAK,YAAY,QAAQkB,CAAC,IAAI,GAAG,MAAM,IAAIgkD,EAAE,sCAAsChkD,yCAAyC,KAAK,aAAa,EAAE,QAAQA,KAAK,KAAK,YAAYlB,EAAE,KAAKkB,IAAI,MAAM,QAAQ,KAAK,WAAWA,6HAA6HA,mBAAmB,EAAE9B,EAAE,KAAK+2D,GAAGn2D,EAAE,KAAKkB,EAAE,CAAC,CAAC,SAAS,MAAM,QAAQlB,EAAE,IAAI,EAAE,CAAC,GAAGA,EAAE,KAAK,SAAS,KAAK,QAAQ,OAAO,MAAM,IAAIklD,EAAE,2FAA2F,KAAK,QAAQ,yCAAyCllD,EAAE,OAAO,EAAEZ,EAAEY,EAAE,KAAK,IAAImB,GAAGg1D,GAAGh1D,CAAC,CAAC,CAAC,KAAK,CAAC,IAAID,EAAEi1D,GAAGn2D,EAAE,IAAI,EAAE,KAAK,QAAQ,QAAQmB,GAAG,CAAC/B,EAAE,KAAK8B,CAAC,CAAC,CAAC,CAAC,CAAC,KAAK,cAAc9B,EAAE,KAAK,gBAAgB,CAAC,EAAE,KAAK,iBAAiB,CAAC,EAAE,KAAK,YAAY,CAAC,EAAE,QAAQ8B,EAAE,EAAEA,EAAE,KAAK,QAAQ,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAE,KAAK,qBAAqBD,GAAGE,EAAE,KAAK,YAAYF,GAAG,KAAK,gBAAgB,KAAKE,CAAC,EAAE,KAAK,iBAAiB,KAAKD,CAAC,EAAE,KAAK,YAAY,KAAK,KAAK,cAAcD,EAAE,CAAC,CAAC,IAAI,EAAE,CAAC,EAAE,KAAK,QAAQlB,EAAE,QAAQ,KAAK,aAAa,CAAC,MAAM,EAAE,KAAK,eAAe,CAAC,EAAE2nD,GAAG,OAAO,IAAI,CAAC,QAAQzmD,EAAE,EAAEA,EAAE,KAAK,QAAQ,OAAO,EAAEA,EAAE,CAAC,GAAG,EAAE,QAAQA,CAAC,IAAI,GAAG,SAAS,IAAIC,EAAE,KAAK,cAAcD,GAAG,KAAK,QAAQ,OAAO,IAAI,KAAK,eAAe,KAAK,CAACC,EAAED,CAAC,CAAC,EAAE,KAAK,aAAa,KAAK,KAAK,YAAYA,GAAG,OAAO,EAAE,CAAC,CAAC,EAAE,IAAIzB,EAAE06D,GAAGn6D,EAAE,QAAQ,KAAK,WAAW,EAAEiB,EAAE,CAACC,EAAEC,EAAEC,IAAI,CAAC,KAAK,YAAY,OAAO,IAAID,EAAE,KAAK,YAAYD,GAAG,IAAIC,GAAG,KAAK,aAAa,KAAKA,CAAC,EAAE,KAAK,eAAe,KAAK,CAACC,EAAEF,CAAC,CAAC,CAAC,EAAEymD,GAAG,SAAS,IAAI,CAAC,QAAQzmD,EAAE,EAAEA,EAAE,KAAK,QAAQ,OAAO,EAAEA,EAAE,CAAC,GAAG,EAAE,QAAQA,CAAC,IAAI,GAAG,SAAS,IAAIC,EAAE1B,EAAEyB,IAAIG,GAAG,CAAC,IAAIS,EAAE,GAAGC,EAAEC,EAAEC,EAAE,QAAQC,KAAKb,EAAE,CAAC,GAAG,OAAOa,GAAG,UAAU,CAAC,WAAW,MAAM,eAAe,IAAI,EAAE,QAAQA,CAAC,IAAI,GAAG,CAAC,IAAImB,EAAE,KAAK,qBAAqBnC,GAAGmC,EAAEA,EAAE,OAAO,KAAK,GAAG,KAAK,cAAcnC,KAAK40D,GAAG,CAAC,WAAW,KAAK,EAAE,QAAQ5zD,CAAC,IAAI,GAAGF,EAAEo0D,GAAG,CAAC,eAAe,IAAI,EAAE,QAAQl0D,CAAC,IAAI,KAAKF,EAAE20D,IAAI,KAAK,cAAcz1D,KAAK00D,GAAG,CAAC,WAAW,KAAK,EAAE,QAAQ1zD,CAAC,IAAI,GAAGF,EAAE40D,GAAG,CAAC,eAAe,IAAI,EAAE,QAAQ10D,CAAC,IAAI,KAAKF,EAAEq1D,IAAI,CAAC,WAAW,KAAK,EAAE,QAAQn1D,CAAC,IAAI,GAAGF,EAAEq0D,GAAG,CAAC,eAAe,IAAI,EAAE,QAAQn0D,CAAC,IAAI,KAAKF,EAAEm1D,IAAI,IAAI1wD,EAAE,CAAC,WAAW,KAAK,EAAE,QAAQvE,CAAC,IAAI,GAAGuE,EAAE,MAAM,CAAC,eAAe,IAAI,EAAE,QAAQvE,CAAC,IAAI,KAAKuE,EAAE,MAAMxE,EAAED,EAAED,EAAED,EAAE2E,CAAC,MAAMxE,EAAEs1D,GAAGr1D,CAAC,EAAEH,EAAED,EAAE01D,GAAGt1D,CAAC,EAAE,IAAI,EAAEylD,GAAG5lD,EAAE,IAAI,CAAC,EAAEE,CAAC,CAAC,EAAEhB,EAAEC,EAAEa,EAAE,CAAC,CAAC,CAAC,GAAGZ,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,0BAA0B,KAAK,gBAAgB,CAAC,kCAAkC,CAAC,KAAK,2BAA2B,MAAM,KAAK,iBAAiB,SAAS,KAAK,0BAA0B,QAAQ,QAAQ,KAAK,mJAAmJ,CAAC,CAAC,SAASnB,EAAEZ,EAAE,EAAE,CAAC,EAAE,CAAC,IAAIK,EAAE,EAAE,WAAW,KAAK,GAAG,EAAE,UAAU25D,GAAG35D,CAAC,EAAE,IAAIwB,EAAE,GAAGC,EAAE,KAAK,sBAAsBlB,EAAEZ,EAAE6B,EAAExB,CAAC,EAAE,GAAG,CAAC,IAAI0B,EAAED,EAAE,GAAG,OAAOA,EAAE,EAAE,EAAE,KAAK,iBAAiB,EAAE,IAAIE,EAAE,KAAK,aAAa,EAAE,KAAK,SAASA,EAAED,EAAE1B,EAAE,EAAE,QAAQ,EAAE,KAAK,EAAE,OAAOgmD,GAAG,CAAC,CAAC,QAAC,CAAQiU,GAAGx4D,EAAE,GAAGlB,CAAC,EAAE05D,GAAGx4D,EAAE,GAAG9B,CAAC,CAAC,CAAC,CAAC,MAAM,gBAAgBY,EAAEZ,EAAE,CAAC,OAAO,KAAK,iBAAiB,EAAE+5D,GAAG,KAAKn5D,EAAEZ,CAAC,CAAC,CAAC,gBAAgBY,EAAEZ,EAAE,EAAEK,EAAE,QAAQ,CAAC,IAAIwB,EAAE,GAAG,GAAG,MAAM,GAAGA,EAAE,KAAK7B,GAAG,KAAK,MAAM,IAAI8lD,EAAE,MAAMzlD,iEAAiEL,GAAG,UAAUY,GAAG,KAAK,MAAM,QAAQA,CAAC,EAAEiB,EAAEjB,EAAE,GAAG,MAAM,GAAGiB,EAAEjB,EAAE,MAAM,OAAQ,OAAM,IAAIklD,EAAE,yDAAyDzlD,uBAAuB,EAAE,OAAOwB,CAAC,CAAC,QAAQjB,EAAEZ,EAAE,CAAC,GAAG,MAAM,QAAQA,CAAC,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI8lD,EAAE,oDAAoD,EAAE,IAAI,EAAE,MAAM,QAAQ9lD,CAAC,EAAEK,EAAE,EAAEL,EAAE,CAACA,CAAC,EAAE6B,EAAE,KAAK,wBAAwBxB,CAAC,EAAEyB,EAAE,IAAI4rD,GAAG,GAAG9sD,aAAa+oB,KAAK/oB,EAAE,CAACA,CAAC,GAAG,MAAM,QAAQA,CAAC,EAAE,CAAC,GAAGA,EAAE,SAAS,KAAK,OAAO,OAAO,MAAM,IAAIklD,EAAE,kCAAkCllD,EAAE,8DAA8D,KAAK,OAAO,UAAU,EAAE,QAAQoB,EAAE,EAAEA,EAAE,KAAK,OAAO,OAAO,EAAEA,EAAEF,EAAE,IAAI,KAAK,OAAOE,GAAGpB,EAAEoB,EAAE,CAAC,KAAM,SAAQA,KAAK,KAAK,OAAO,CAAC,IAAI,EAAEpB,EAAEoB,EAAE,MAAM,GAAG,GAAG,KAAK,MAAM,IAAI8jD,EAAE,8CAA8C9jD,EAAE,MAAM,EAAEF,EAAE,IAAIE,EAAE,CAAC,CAAC,CAAC,IAAID,EAAE+rD,GAAGjsD,EAAEC,CAAC,EAAE,OAAO,EAAEC,EAAEA,EAAE,EAAE,CAAC,wBAAwBnB,EAAE,CAAC,IAAIZ,EAAEkmD,GAAG,KAAKtlD,EAAE,MAAM,EAAE,EAAEA,EAAE,OAAO,QAAQP,KAAK,KAAK,OAAO,CAAC,IAAIwB,EAAE,MAAM,QAAQxB,EAAE,MAAM,EAAEA,EAAE,OAAO,CAACA,EAAE,MAAM,EAAEyB,EAAED,EAAE,IAAIE,GAAGA,EAAE,IAAI,EAAE,QAAQA,EAAE,EAAEA,EAAEnB,EAAE,OAAO,EAAEmB,EAAE,CAAC,IAAIC,EAAEF,EAAE,QAAQlB,EAAEmB,EAAE,EAAE,GAAGC,IAAI,KAAKhC,EAAE+B,GAAGF,EAAEG,GAAG,KAAK,IAAI,EAAE,KAAK,CAAC,GAAG,IAAI,EAAE,KAAK,CAAC,GAAG,EAAE,EAAE,CAAC,IAAI3B,EAAE,CAAC,EAAE,MAAML,EAAE,QAAQ,CAAC6B,EAAEC,IAAI,CAACD,GAAG,MAAMxB,EAAE,KAAKO,EAAEkB,EAAE,CAAC,CAAC,EAAE,IAAIgkD,EAAE,mDAAmD,KAAK,UAAUzlD,CAAC,GAAG,CAAC,CAAC,OAAOL,CAAC,CAAC,YAAYY,EAAEZ,EAAE,GAAG,EAAE,GAAG,CAAC,OAAOuzB,EAAE,IAAI,CAAC,IAAIlzB,EAAE,KAAK,gBAAgBO,CAAC,EAAE,GAAG,EAAE,MAAM,IAAImlD,GAAG,+CAA+C,EAAE,IAAIlkD,EAAEs4D,GAAG95D,EAAEL,CAAC,EAAE8B,EAAE,KAAK,QAAQ,IAAIC,GAAG,CAAC,CAAC,EAAE,QAAQA,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAEwxB,EAAE,IAAI,CAAC,IAAItxB,EAAEJ,EAAEE,GAAG,GAAGW,EAAEb,EAAEE,GAAG,GAAGY,EAAEs3D,GAAGr5D,EAAEqB,EAAES,CAAC,EAAEE,EAAE,CAAC,EAAE,GAAG,MAAM,QAAQD,CAAC,EAAE,QAAQG,EAAE,EAAEA,EAAEH,EAAE,OAAO,EAAEG,EAAEF,EAAE,KAAK,CAAC,IAAI,KAAK,OAAOE,GAAG,MAAMH,EAAEG,EAAE,CAAC,OAAOF,EAAE,KAAK,CAAC,IAAI,KAAK,OAAO,GAAG,MAAMD,CAAC,CAAC,EAAE,IAAIE,EAAE,IAAI6qD,GAAG9qD,CAAC,EAAE,OAAOkrD,GAAG,KAAK,QAAQjrD,CAAC,CAAC,CAAC,EAAE,QAAQ,CAACZ,EAAES,IAAIZ,EAAEY,GAAG,KAAKT,CAAC,CAAC,EAAE,OAAOokD,GAAGvkD,EAAE,IAAIC,GAAGu6B,GAAGv6B,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,QAAQnB,EAAEZ,EAAE,CAAC,EAAE,CAAC,IAAI,EAAEu6D,GAAG35D,CAAC,EAAEk6D,GAAG,EAAE,KAAK,WAAW,KAAK,gBAAgB,EAAE,EAAE,GAAG,CAAC,IAAIz6D,EAAEL,EAAE,WAAW,KAAK,GAAGA,EAAE,UAAU,OAAOg6D,GAAG35D,CAAC,EAAE,KAAK,YAAY,EAAEA,CAAC,CAAC,QAAC,CAAQi6D,GAAG,EAAE15D,CAAC,CAAC,CAAC,CAAC,eAAeA,EAAE,CAACk6D,GAAGl6D,EAAE,KAAK,WAAW,KAAK,gBAAgB,EAAE,EAAE,IAAIZ,GAAG,MAAM,QAAQY,CAAC,EAAEA,EAAE,GAAGA,GAAG,MAAM,GAAG,OAAO,KAAK,YAAYA,EAAEZ,CAAC,CAAC,CAAC,sBAAsBY,EAAEZ,EAAE,EAAE,GAAGK,EAAE,CAAC,GAAG,KAAK,YAAY,KAAK,MAAM,IAAIwlD,GAAG,8FAA8F,EAAE,IAAIhkD,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,KAAK,iBAAiB,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAE,KAAK,iBAAiBD,GAAG,KAAK,YAAYA,KAAK00D,GAAG30D,EAAE,KAAKE,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,EAAEF,EAAE,KAAKE,CAAC,CAAC,CAAC,GAAGnB,EAAE+5D,GAAG/5D,EAAE,KAAK,eAAe,KAAK,gBAAgB,GAAG,OAAO,EAAEZ,EAAE26D,GAAG36D,EAAE,KAAK,gBAAgB6B,EAAE,GAAG,QAAQ,EAAE+4D,GAAGh6D,EAAEZ,EAAE,IAAI,EAAE66D,GAAG76D,EAAE,KAAK,YAAY,KAAK,gBAAgB,EAAE,KAAK,UAAUK,GAAG,MAAMA,EAAE,GAAGO,EAAE,GAAG,MAAM,GAAGP,IAAI,EAAE,MAAM,IAAIylD,EAAE,mHAAmHzlD,aAAaO,EAAE,GAAG,MAAM,eAAe,EAAE,MAAM,CAACA,EAAEZ,CAAC,CAAC,CAAC,MAAM,oBAAoBY,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,GAAGC,EAAE,CAAC,GAAG,CAACC,EAAEC,CAAC,EAAE,KAAK,sBAAsBpB,EAAEZ,EAAE6B,EAAEC,CAAC,EAAE,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,qCAAqC,EAAE,IAAI,EAAE,KAAK,GAAGzB,GAAG,KAAK,CAAC,IAAIqC,EAAE02D,GAAG/4D,EAAE,KAAK,WAAW,EAAE,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEqC,EAAE,OAAO,EAAE,EAAE,EAAE,KAAK,MAAM22D,GAAGr3D,EAAE,GAAG,KAAKU,EAAE,EAAE,CAAC,CAAC,CAAC,MAAM,CAACX,EAAEC,EAAE,CAAC,CAAC,CAAC,SAASpB,EAAEZ,EAAE,EAAEK,EAAE,EAAEwB,EAAE,CAAC,OAAO0xB,EAAE,IAAI,CAAC,IAAIzxB,EAAE,KAAK,gBAAgB9B,EAAE,EAAE6B,EAAE,OAAO,EAAEE,EAAE,CAAC,EAAE,GAAG1B,EAAE,EAAE,MAAM,IAAI0lD,GAAG,sCAAsC,EAAE,GAAGlkD,GAAG,KAAK,MAAM,IAAIkkD,GAAG,iDAAiD,EAAE,CAAC,IAAI/jD,EAAEm4D,GAAGr4D,EAAE,CAAC,EAAE,EAAEmuC,GAAGgZ,GAAG,EAAEnnD,CAAC,CAAC,EAAE,QAAQY,EAAE,EAAEA,EAAEV,EAAE,OAAO,EAAEU,EAAE,CAAC,IAAI,EAAEV,EAAEU,GAAG,GAAGE,EAAEZ,EAAEU,GAAG,GAAGG,EAAE8mD,GAAG,EAAE,EAAE/mD,EAAE,CAAC,EAAEE,EAAEo3D,GAAGl6D,EAAE6C,CAAC,EAAEmB,EAAEpD,EAAEkC,CAAC,EAAE,GAAGJ,IAAI,EAAE,QAAQuB,EAAE,EAAEA,EAAED,EAAE,OAAO,EAAEC,EAAElC,EAAE,KAAK4gC,GAAG,CAAC,CAAC,EAAE,QAAQ1+B,EAAE,EAAEA,EAAED,EAAE,OAAO,EAAEC,EAAE,CAAC,IAAIoD,EAAErD,EAAEC,GAAGlC,EAAEkC,GAAG20B,EAAE72B,EAAEkC,GAAGi1B,EAAEt2B,EAAE,EAAEyE,CAAC,CAAC,CAAC,CAAC,CAAC,QAAQ3E,EAAE,EAAEA,EAAEX,EAAE,OAAO,EAAEW,EAAEX,EAAEW,GAAGs2B,GAAGj3B,EAAEW,GAAGZ,CAAC,CAAC,CAAC,OAAOC,CAAC,CAAC,CAAC,CAAC,wBAAwB,CAAC,IAAInB,EAAE,KAAK,aAAaZ,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEY,EAAE,OAAO,EAAE,EAAE,CAAC,IAAIP,EAAEO,EAAE,GAAGiB,EAAExB,EAAE+lD,GAAGxlD,EAAEP,CAAC,EAAE,IAAIwB,GAAG,IAAIukD,GAAGxlD,EAAE,MAAM,EAAE,CAAC,EAAEP,CAAC,KAAKL,EAAE,KAAK6B,CAAC,CAAC,CAAC,OAAO7B,CAAC,CAAC,mBAAmB,CAAC,OAAOY,GAAG,CAAC,IAAIZ,EAAE,CAAC,EAAE,EAAEY,EAAE,MAAM,EAAE,KAAK,OAAO,MAAM,EAAEP,EAAEO,EAAE,MAAM,KAAK,OAAO,OAAO,KAAK,OAAO,OAAO,KAAK,QAAQ,MAAM,EAAEiB,EAAEjB,EAAE,MAAM,KAAK,OAAO,OAAO,KAAK,QAAQ,OAAO,KAAK,OAAO,OAAO,KAAK,QAAQ,OAAO,CAAC,EAAEkB,EAAE,CAAC,EAAEC,EAAE,IAAI,CAAC,IAAIY,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAE,KAAK,OAAO,OAAO,EAAE,EAAEA,EAAE,KAAK,CAAC,IAAI,KAAK,OAAO,GAAG,MAAM,EAAE,EAAE,CAAC,EAAE,IAAIC,EAAE,IAAI8qD,GAAG/qD,CAAC,EAAEE,EAAEirD,GAAG,KAAK,QAAQlrD,EAAE,CAAC,SAAS,EAAE,CAAC,EAAEE,EAAE,QAAQ,EAAE,EAAE,EAAE,KAAK,cAAc,OAAO,EAAE,EAAE,CAAC,IAAImB,EAAE,KAAK,cAAc,GAAGoD,EAAEpD,EAAE5D,EAAE,GAAGwC,EAAE,EAAE,EAAEhB,EAAE,IAAI,OAAOwF,EAAEiyD,GAAGjyD,EAAExF,EAAE,EAAE,GAAG,IAAIgD,EAAEqjC,GAAG7gC,CAAC,EAAErH,EAAE,KAAK6E,CAAC,EAAE,IAAI,EAAE/B,EAAEuE,EAAEvE,EAAE81B,EAAE91B,EAAEuE,CAAC,CAAC,CAAC,QAAQ,EAAE,EAAE,EAAE,KAAK,eAAe,OAAO,EAAE,EAAE,CAAC,IAAIpD,EAAE,GAAG,KAAK,QAAQ,OAAO,GAAG,EAAE,KAAK,QAAQ,OAAOA,EAAEjE,EAAE,OAAO,CAAC,IAAIqH,EAAE,KAAK,eAAe,GAAG,GAAGxC,EAAE,KAAK,eAAe,GAAG,GAAGZ,EAAEikC,GAAG7gC,EAAEhH,EAAEwE,GAAGhC,EAAEgC,EAAE,CAAC,CAAC,CAAC4uB,GAAGxvB,CAAC,EAAEnC,EAAE,KAAKmC,CAAC,CAAC,CAAC,OAAOnB,EAAEolC,GAAGplC,CAAC,EAAE,KAAK,gBAAgB,EAAE,QAAQ,GAAG,CAACA,EAAE81B,EAAE91B,EAAE,CAAC,CAAC,CAAC,EAAEA,CAAC,EAAEd,EAAE,KAAK,0BAA0B,IAAIW,GAAGA,EAAE,KAAK,CAAC,EAAE,EAAE,GAAG,MAAM,CAAC,KAAK,WAAW,SAASZ,EAAE,EAAEC,CAAC,CAAC,EAAE,OAAOF,CAAC,CAAC,CAAC,CAAC,kBAAkB,CAAC,KAAK,aAAalB,GAAG2yB,EAAE,IAAI,CAAC,IAAIvzB,EAAE,CAAC,EAAE,EAAEK,EAAEO,EAAE,MAAM,EAAE,KAAK,OAAO,MAAM,EAAEiB,EAAEjB,EAAE,MAAM,KAAK,OAAO,OAAO,KAAK,OAAO,OAAO,KAAK,QAAQ,MAAM,EAAEkB,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAE,KAAK,OAAO,OAAO,EAAE,EAAEA,EAAE,KAAK,CAAC,IAAI,KAAK,OAAO,GAAG,MAAMzB,EAAE,EAAE,CAAC,EAAE,IAAI0B,EAAE,IAAI2rD,GAAG5rD,CAAC,EAAEE,EAAE8rD,GAAG,KAAK,QAAQ/rD,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAE,KAAK,cAAc,OAAO,EAAE,EAAE,CAAC,IAAIW,EAAE,KAAK,cAAc,GAAG,EAAEwlC,GAAGxlC,EAAEb,EAAE,GAAGG,EAAE,EAAE,CAAC,EAAE,IAAI,EAAE,EAAE,EAAE,EAAE42B,EAAE,EAAE,CAAC,EAAE54B,EAAE,KAAK,CAAC,CAAC,CAAC,QAAQ,EAAE,EAAE,EAAE,KAAK,eAAe,OAAO,EAAE,EAAE,CAAC,IAAI0C,EAAE,KAAK,eAAe,GAAG,GAAG,EAAE,KAAK,eAAe,GAAG,GAAGE,EAAEslC,GAAGxlC,EAAEb,EAAE,GAAGG,EAAE,EAAE,CAAC,EAAEhC,EAAE,KAAK4C,CAAC,CAAC,CAAC,OAAO5C,CAAC,CAAC,CAAC,CAAC,MAAM,IAAIY,EAAEZ,EAAE,EAAE,CAAC,EAAE,CAAC,OAAOq6D,GAAG,KAAKz5D,EAAEZ,EAAE,CAAC,CAAC,CAAC,MAAM,WAAWY,EAAEZ,EAAE,CAAC,OAAO25D,GAAG,KAAK/4D,EAAEZ,CAAC,CAAC,CAAC,MAAM,aAAaY,EAAEZ,EAAE,CAAC,IAAI,EAAE,MAAM,KAAK,oBAAoBY,EAAEZ,CAAC,EAAEK,EAAE,EAAE,GAAGwB,EAAE,EAAE,GAAGE,EAAE,KAAK,kBAAkB,EAAE1B,EAAE,OAAOwB,CAAC,CAAC,EAAEG,EAAE,CAAC,EAAE,QAAQC,KAAKF,EAAE,CAAC,IAAIW,EAAE,MAAMT,EAAE,KAAK,EAAED,EAAE,KAAKU,EAAE,EAAE,CAAC,CAAC,OAAO8wB,GAAGzxB,CAAC,EAAEu4D,GAAG,EAAE,GAAG15D,CAAC,EAAE05D,GAAG,EAAE,GAAGt6D,CAAC,EAAEqmD,GAAGrkD,CAAC,CAAC,CAAC,gBAAgBpB,EAAE,CAAC,IAAIZ,EAAE,CAAC,EAAE,EAAEY,GAAG,MAAMA,EAAE,cAAcP,EAAE,EAAE,KAAK,iBAAiB,KAAK,QAAQwB,EAAE,KAAK,WAAW,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEzB,EAAE,OAAO,EAAEyB,EAAE,GAAG,CAACzB,EAAEyB,GAAG,WAAW9B,EAAE,KAAK,CAAC,KAAKK,EAAEyB,GAAG,aAAa,OAAOD,EAAEC,EAAE,CAAC,EAAE,OAAO9B,CAAC,CAAC,IAAI,aAAaY,EAAE,CAAC,KAAK,cAAcA,CAAC,CAAC,IAAI,cAAc,CAAC,OAAO,KAAK,aAAa,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,UAAU,CAAC,IAAI,UAAUA,EAAE,CAAC,KAAK,aAAaA,IAAI,KAAK,WAAWA,EAAE,KAAK,iBAAiB,GAAG,CAAC,SAAS,CAAC,IAAIA,EAAE,MAAM,QAAQ,EAAE,GAAGA,EAAE,uBAAuB,GAAG,KAAK,WAAW,MAAM,KAAK,iBAAiB,CAAC,IAAIZ,EAAEqzB,GAAG,EAAE,WAAW,KAAK,WAAW,QAAQ,EAAEzyB,EAAE,sBAAsBZ,EAAEqzB,GAAG,EAAE,UAAU,CAAC,OAAOzyB,CAAC,CAAC,oBAAoB,CAAC,IAAIA,EAAE,GAAG,OAAO,KAAK,MAAM,SAASA,EAAE2lD,GAAG,KAAK,IAAI,UAAU,MAAM,QAAQ,KAAK,IAAI,EAAE,CAAC,QAAQvmD,KAAK,KAAK,KAAK,GAAG,OAAOA,GAAG,SAAS,MAAM,IAAI,MAAM,oDAAoD,EAAEY,EAAE,KAAK,KAAK,IAAIZ,GAAGumD,GAAGvmD,CAAC,CAAC,CAAC,KAAK,CAAC,IAAIA,EAAE,OAAO,KAAK,KAAK,IAAI,EAAEY,EAAE,CAAC,EAAE,IAAI,EAAE,KAAK,KAAK,QAAQP,KAAKL,EAAE,GAAG,OAAO,EAAEK,IAAI,SAASO,EAAEP,GAAGkmD,GAAG,EAAElmD,EAAE,MAAO,OAAM,IAAI,MAAM,oDAAoD,CAAC,CAAC,OAAOO,CAAC,CAAC,sBAAsB,CAAC,GAAG,OAAO,KAAK,SAAS,UAAU,OAAO,KAAK,SAAS,WAAW,MAAM,CAAC2lD,GAAG6R,GAAG,KAAK,OAAO,CAAC,CAAC,EAAE,GAAG,MAAM,QAAQ,KAAK,OAAO,EAAE,OAAO,KAAK,QAAQ,IAAIx3D,GAAG2lD,GAAG6R,GAAGx3D,CAAC,CAAC,CAAC,EAAE,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQZ,KAAK,KAAK,QAAQY,EAAEZ,GAAGumD,GAAG6R,GAAG,KAAK,QAAQp4D,EAAE,CAAC,EAAE,OAAOY,CAAC,CAAC,CAAC,mBAAmB,CAAC,MAAM,CAAC,KAAK,KAAK,mBAAmB,EAAE,QAAQ,KAAK,qBAAqB,EAAE,iBAAiB,CAAC,WAAW,KAAK,UAAU,aAAa,EAAE,OAAO,KAAK,UAAU,UAAU,CAAC,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAAC,GAAGA,EAAE,kBAAkB,KAAK,MAAM,IAAI,MAAM,8CAA8C,EAAE,GAAGA,EAAE,cAAc,KAAK,MAAM,IAAI,MAAM,4CAA4C,EAAE,GAAGA,EAAE,oBAAoB,KAAK,MAAM,IAAI,MAAM,kDAAkD,EAAE,IAAIZ,EAAE+4D,GAAGn4D,EAAE,gBAAgB,EAAE,EAAEi1D,GAAG71D,CAAC,EAAEK,EAAE,GAAG,OAAOO,EAAE,MAAM,SAASP,EAAEmmD,GAAG5lD,EAAE,IAAI,UAAU,MAAM,QAAQA,EAAE,IAAI,EAAEP,EAAEO,EAAE,KAAK,IAAIkB,GAAG0kD,GAAG1kD,CAAC,CAAC,UAAUlB,EAAE,MAAM,KAAK,CAACP,EAAE,CAAC,EAAE,QAAQyB,KAAKlB,EAAE,KAAKP,EAAEyB,GAAG0kD,GAAG5lD,EAAE,KAAKkB,EAAE,CAAC,CAAC,IAAID,EAAE,GAAG,MAAM,QAAQjB,EAAE,OAAO,EAAEiB,EAAEjB,EAAE,QAAQ,IAAIkB,GAAG0kD,GAAG1kD,CAAC,CAAC,UAAUlB,EAAE,SAAS,KAAK,CAACiB,EAAE,CAAC,EAAE,QAAQC,KAAKlB,EAAE,QAAQiB,EAAEC,GAAG0kD,GAAG5lD,EAAE,QAAQkB,EAAE,CAAC,CAAC,KAAK,QAAQ,CAAC,KAAKzB,EAAE,QAAQwB,EAAE,UAAU,CAAC,CAAC,CAAC,CAAC,MAAM,KAAKjB,EAAEZ,EAAE,CAAC,GAAG,OAAOY,GAAG,SAAS,CAAC,IAAIqB,EAAE2uB,GAAG,gBAAgBhwB,CAAC,EAAE,GAAGqB,EAAE,SAAS,EAAE,MAAM,IAAI6jD,EAAE,0CAA0CllD,IAAI,EAAE,GAAGqB,EAAE,OAAO,EAAE,MAAM,IAAI6jD,EAAE,wBAAwB7jD,EAAE,kCAAkCrB,IAAI,EAAEA,EAAEqB,EAAE,EAAE,CAAC,GAAGrB,EAAE,MAAM,KAAK,MAAM,IAAIklD,EAAE,8GAA8G,EAAE,IAAI,EAAE,MAAMl1B,GAAG,cAAc,KAAK,gBAAgB5wB,CAAC,CAAC,EAAEK,EAAE,GAAGwB,EAAE,KAAKE,EAAE,CAAC,cAAc,KAAK,OAAOF,EAAExB,CAAC,EAAE,OAAO26D,GAAG,YAAY,8BAA8B/B,KAAK,YAAY,IAAI,EAAE,IAAIj5D,GAAG,KAAK,GAAGA,EAAE,mBAAmB,KAAK,WAAW,KAAK,CAAC+B,EAAE,eAAe,KAAK,kBAAkB,EAAE,IAAIE,EAAE,YAAY,CAAC,KAAKS,EAAE,MAAMC,CAAC,EAAE,MAAMiuB,GAAG,cAAc,MAAM,KAAK,UAAU,WAAW,EAAE3uB,CAAC,EAAE,EAAE,MAAM,KAAK,GAAGU,CAAC,EAAE,EAAE,KAAKiuB,GAAG,wBAAwB,CAAC,EAAE,KAAKluB,CAAC,CAAC,CAAC,CAAC,OAAO,KAAK,qBAAqB,OAAO41D,GAAG,KAAK,oBAAoB,KAAK,KAAK,EAAE,EAAEv2D,EAAE,oBAAoB,KAAK,qBAAqBA,EAAE,WAAW,EAAE,KAAKA,EAAE,YAAY,EAAE,MAAMnB,EAAE,KAAKmB,CAAC,CAAC,CAAC,uBAAuBnB,EAAE,CAAC03D,GAAG13D,EAAE,KAAK,IAAI,EAAE,KAAK,oBAAoBA,CAAC,CAAC,wBAAwB,CAAC,OAAO,KAAK,mBAAmB,CAAC,EAAEq6D,GAAG,UAAU,QAAQ1jC,GAAE,cAAc0jC,EAAE,EAAE,IAAIC,GAAG,cAAcD,EAAE,CAAC,EAAEC,GAAG,UAAU,aAAa3jC,GAAE,cAAc2jC,EAAE,EAAE,eAAeC,GAAGr7D,EAAE,EAAE,CAAC,kBAAkBA,IAAIA,EAAE,CAAC,cAAcA,CAAC,GAAGA,EAAEA,EAAE,IAAIE,EAAEF,EAAE,cAAcE,EAAE,cAAc,OAAOA,EAAEA,EAAE,cAAc,IAAII,EAAE24D,GAAG/4D,CAAC,EAAEK,EAAEw1D,GAAGz1D,EAAE,CAAC,EAAE,GAAGN,EAAE,iBAAiB,KAAK,CAAC,IAAI,EAAE,MAAM8wB,GAAG,YAAY9wB,EAAE,gBAAgBA,EAAE,WAAWO,EAAE,QAAQ,IAAI0B,GAAGA,EAAE,YAAY,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQA,KAAK1B,EAAE,QAAQ,EAAE0B,EAAE,cAAc,EAAEA,EAAE,cAAc1B,EAAE,YAAY,CAAC,EAAEmzB,GAAG,CAAC,CAAC,CAAC,OAAOnzB,CAAC,CAAC,eAAe+6D,GAAGt7D,EAAE,EAAE,CAAC,GAAG,GAAG,OAAO,EAAE,CAAC,GAAG,OAAOA,GAAG,SAAS,CAAC,IAAIE,EAAE4wB,GAAG,gBAAgB9wB,EAAE,CAAC,EAAE,GAAGE,EAAE,SAAS,EAAEA,EAAE,KAAK4wB,GAAG,mBAAmB9wB,EAAE,CAAC,CAAC,UAAUE,EAAE,OAAO,EAAE,MAAM,IAAI8lD,EAAE,wBAAwB9lD,EAAE,kCAAkCF,IAAI,EAAEA,EAAEE,EAAE,EAAE,CAAC,OAAOq7D,GAAGv7D,EAAE,OAAO,CAAC,CAAC,CAAC,eAAeu7D,GAAGv7D,EAAE,EAAEE,EAAE,CAAC,GAAGA,GAAG,OAAOA,EAAE,CAAC,GAAGF,EAAE,MAAM,KAAK,MAAM,IAAIgmD,EAAE,+GAA+G,EAAE,IAAI1lD,EAAE,MAAMN,EAAE,KAAK,EAAEO,EAAED,EAAE,cAAcC,EAAE,cAAc,OAAOA,EAAEA,EAAE,cAAc,IAAI,EAAEL,EAAE,QAAQ,KAAK,GAAGA,EAAE,OAAO,EAAEI,EAAE,YAAY,MAAMA,EAAE,aAAa,MAAM,EAAE2B,EAAE8zD,GAAGkD,GAAG14D,CAAC,EAAE,EAAE,CAAC,EAAE2B,EAAE5B,EAAE,eAAe,GAAG4B,GAAG,MAAMD,EAAE,mBAAmBC,CAAC,EAAE5B,EAAE,qBAAqB,MAAM2B,EAAE,uBAAuB3B,EAAE,mBAAmB,EAAEA,EAAE,YAAY,KAAK,CAAC,GAAGA,EAAE,aAAa,KAAK,MAAM,IAAI0lD,EAAE,gHAAgH,EAAE,GAAG,CAAC,aAAa7jD,EAAE,iBAAiBS,CAAC,EAAE44D,GAAGl7D,EAAE,WAAWA,EAAE,WAAW,EAAE2B,EAAE,YAAYE,EAAE,CAAC,EAAEF,EAAE,WAAW,MAAMW,EAAE,OAAO,GAAG,MAAMX,EAAE,UAAU,WAAWW,CAAC,EAAE8wB,GAAGvxB,CAAC,EAAEuxB,GAAG9wB,EAAE,IAAIC,GAAGA,EAAE,MAAM,CAAC,CAAC,CAAC,OAAOZ,CAAC,CAAC,SAASu5D,GAAGx7D,EAAE,EAAE,CAAC,IAAIE,EAAE4wB,GAAG,cAAc9wB,EAAE,CAAC,EAAEM,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,OAAO,EAAE,QAAQ,GAAG,CAAC,EAAE,QAAQ,YAAYA,EAAE,KAAK,CAAC,KAAK,EAAE,KAAK,OAAOL,EAAE,EAAE,KAAK,CAAC,EAAEI,EAAE,EAAE,MAAMJ,EAAE,EAAE,KAAK,CAAC,EAAE,CAAC,aAAaI,EAAE,iBAAiBC,CAAC,CAAC,CAAC,IAAIk7D,GAAG,cAAcN,EAAE,CAAC,YAAYr6D,EAAE,CAAC,GAAG,MAAM,CAAC,OAAO,CAAC,EAAE,QAAQ,CAAC,CAAC,CAAC,EAAEA,EAAEA,GAAG,CAAC,EAAE,KAAK,UAAU,GAAG,KAAK,MAAM,GAAG,KAAK,KAAKA,EAAE,MAAM,KAAKA,EAAE,KAAK8mD,GAAG,aAAa,EAAE9mD,EAAE,QAAQ,KAAK,QAAQZ,KAAKY,EAAE,OAAO,KAAK,IAAIZ,CAAC,CAAC,CAAC,WAAWY,EAAE,CAAC,GAAGA,EAAE,aAAa,GAAG,cAAc,GAAG,MAAM,KAAKR,GAAGA,EAAE,CAAC,EAAE,MAAM,IAAI0lD,EAAE,kDAAkDllD,EAAE,0BAA0BA,EAAE,aAAa,GAAG,aAAa,GAAG,QAAQ,CAAC,CAAC,IAAIA,EAAE,CAAC,IAAIZ,EAAEY,aAAa26D,IAAI36D,aAAaq6D,GAAG,EAAE,GAAGj7D,EAAE,CAAC,GAAG,EAAEY,EAAE,EAAE,QAAQ,SAAS,EAAE,MAAM,IAAIklD,EAAE,uHAAuH,EAAE,GAAG,EAAE,OAAO,SAAS,EAAE,MAAM,IAAIA,EAAE,qHAAqH,CAAC,CAAC,GAAG,KAAK,QAAQ,SAAS,EAAE,CAAC,GAAGllD,EAAE,aAAa,SAAS,EAAE,CAAC,GAAGA,EAAE,iBAAiB,KAAK,MAAM,IAAIklD,EAAE,+FAA+F,EAAE,IAAIzlD,EAAEmtD,GAAG,CAAC,WAAW5sD,EAAE,gBAAgB,MAAMA,EAAE,MAAM,KAAKA,EAAE,KAAK,QAAQ,CAAC,EAAEA,EAAE,MAAMP,CAAC,CAAC,CAAC,GAAGL,EAAE,KAAK,QAAQ,EAAE,QAAQ,KAAK,OAAO,EAAE,WAAW,CAAC,GAAGY,EAAE,aAAa,SAAS,EAAE,MAAM,IAAIklD,EAAE,gHAAgHllD,EAAE,kBAAkBA,EAAE,aAAa,0CAA0C,EAAE,GAAGA,EAAE,aAAa,GAAG,cAAc,SAAS,EAAE,MAAM,IAAIklD,EAAE,uHAAuH,EAAE,KAAK,WAAWllD,CAAC,EAAE,KAAK,QAAQ,CAACA,EAAE,aAAa,GAAG,cAAc,EAAE,EAAE,KAAK,OAAO0sD,GAAG,KAAK,QAAQ,EAAE,CAAC,CAAC,KAAK,aAAa,CAAC,EAAE,IAAIL,GAAG,CAAC,cAAc,KAAK,cAAc,CAAC,EAAE,YAAY,CAAC,EAAE,cAAc,CAAC,EAAE,aAAa,KAAK,OAAO,cAAc,KAAK,QAAQ,WAAW/G,GAAG,KAAK,KAAK,OAAO,MAAM,EAAE,YAAY,CAAC,IAAI,EAAE,YAAY,KAAK,OAAO,IAAI7lD,GAAGA,EAAE,KAAK,EAAE,aAAa,KAAK,QAAQ,GAAG,KAAK,CAAC,CAAC,KAAK,CAAC,IAAIA,EAAEO,EAAE,MAAM,KAAK,QAAQ,EAAE,EAAE,GAAG,MAAM,QAAQP,CAAC,EAAE,MAAM,IAAI,UAAU,uHAAuH,EAAE,KAAK,WAAWO,CAAC,EAAE,KAAK,QAAQ,CAACP,CAAC,EAAE,KAAK,aAAa,GAAG,cAAc,KAAK,QAAQ,KAAK,aAAa,GAAG,aAAa,CAAC,KAAK,QAAQ,GAAG,KAAK,CAAC,CAAC,KAAK,OAAO,KAAKO,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,KAAK,CAAC,GAAG,KAAK,OAAO,SAAS,EAAE,MAAM,IAAI,UAAU,mCAAmC,EAAE,GAAG,KAAK,OAAO,IAAI,EAAE,KAAK,OAAO,SAAS,EAAE,KAAK,QAAQ,CAAC,EAAE,KAAK,aAAa,CAAC,EAAE,KAAK,cAAc,CAAC,MAAM,CAAC,IAAIA,EAAE,KAAK,OAAO,OAAO,EAAE,KAAK,OAAOA,GAAG,cAAc,CAAC,EAAE,KAAK,QAAQ,CAAC,KAAK,OAAOA,GAAG,MAAM,EAAE,KAAK,aAAa,GAAG,cAAc,KAAK,QAAQ,KAAK,aAAa,GAAG,aAAa,CAAC,KAAK,QAAQ,GAAG,KAAK,CAAC,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAO,KAAK,OAAO,MAAM,KAAK,MAAM,EAAE,KAAK,MAAM,KAAKY,EAAEZ,CAAC,CAAC,CAAC,MAAMY,EAAE,CAAC,GAAG2rD,GAAG3rD,CAAC,EAAE,KAAK,OAAO,SAAS,GAAG,KAAK,QAAQ,SAAS,EAAE,MAAM,IAAI,UAAU,0EAA0E,EAAE,KAAK,MAAM,IAAIq6D,GAAG,CAAC,OAAO,KAAK,OAAO,QAAQ,KAAK,QAAQ,GAAG,KAAK,KAAK,KAAK,QAAQ,CAAC,EAAE,KAAK,MAAM,UAAU,KAAK,UAAU,KAAK,gBAAgB,KAAK,MAAM,gBAAgB,KAAK,YAAY,KAAK,MAAM,YAAY,KAAK,uBAAuB,KAAK,MAAM,uBAAuB,KAAK,yBAAyB,KAAK,MAAM,yBAAyB,KAAK,aAAa,KAAK,MAAM,aAAa,KAAK,wBAAwB,KAAK,MAAM,wBAAwB,KAAK,0BAA0B,KAAK,MAAM,0BAA0B,KAAK,aAAa,KAAK,MAAM,aAAa,KAAK,eAAe,KAAK,MAAM,eAAe,KAAK,YAAY,KAAK,MAAM,YAAY,KAAK,WAAW,KAAK,MAAM,WAAW,KAAK,MAAM,EAAE,CAAC,aAAa,CAAC,OAAO,KAAK,OAAO,KAAK,MAAM,EAAE,MAAM,YAAY,CAAC,CAAC,QAAQr6D,EAAEZ,EAAE,EAAE,QAAQ,IAAI,CAAC,KAAK,OAAO,KAAK,MAAM,EAAE,MAAM,QAAQY,EAAEZ,EAAE,CAAC,CAAC,CAAC,WAAWY,EAAE,CAAC,KAAK,OAAO,MAAM,KAAK,MAAM,EAAE,KAAK,MAAM,WAAWA,CAAC,CAAC,CAAC,SAASA,EAAEZ,EAAE,EAAE,CAAC,EAAE,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,IAAI6lD,GAAG,mDAAmD,EAAE,OAAO,KAAK,MAAM,SAASjlD,EAAEZ,EAAE,CAAC,CAAC,CAAC,MAAM,gBAAgBY,EAAEZ,EAAE,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,IAAI6lD,GAAG,mDAAmD,EAAE,OAAO,KAAK,MAAM,gBAAgBjlD,EAAEZ,CAAC,CAAC,CAAC,QAAQY,EAAEZ,EAAE,CAAC,EAAE,CAAC,OAAO,KAAK,OAAO,MAAM,KAAK,MAAM,EAAE,KAAK,MAAM,QAAQY,EAAEZ,CAAC,CAAC,CAAC,eAAeY,EAAE,CAAC,OAAO,KAAK,OAAO,MAAM,KAAK,MAAM,EAAE,KAAK,MAAM,eAAeA,CAAC,CAAC,CAAC,QAAQA,EAAE,CAAC,KAAK,MAAM,EAAE,KAAK,MAAM,QAAQA,CAAC,EAAE,KAAK,WAAW,KAAK,MAAM,UAAU,KAAK,iBAAiB,KAAK,MAAM,iBAAiB,KAAK,KAAK,KAAK,MAAM,KAAK,KAAK,QAAQ,KAAK,MAAM,QAAQ,KAAK,eAAe,KAAK,MAAM,eAAe,KAAK,aAAa,KAAK,MAAM,YAAY,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,OAAO,KAAK,OAAO,KAAK,MAAM,SAAS,CAAC,IAAI,UAAUA,EAAE,CAAC,KAAK,MAAM,UAAUA,CAAC,CAAC,MAAM,IAAIA,EAAEZ,EAAE,EAAE,CAAC,EAAE,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,IAAI6lD,GAAG,mDAAmD,EAAE,OAAO,KAAK,MAAM,IAAIjlD,EAAEZ,EAAE,CAAC,CAAC,CAAC,MAAM,WAAWY,EAAEZ,EAAE,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,IAAI6lD,GAAG,mDAAmD,EAAE,OAAO,KAAK,MAAM,WAAWjlD,EAAEZ,CAAC,CAAC,CAAC,MAAM,aAAaY,EAAEZ,EAAE,CAAC,OAAO,KAAK,MAAM,aAAaY,EAAEZ,CAAC,CAAC,CAAC,OAAO,WAAWY,EAAEZ,EAAE,EAAE,CAAC,EAAEK,EAAE,GAAG,CAAC,IAAIwB,EAAEC,EAAE,CAAC,EAAE,GAAG9B,aAAa,MAAM,CAAC,GAAGA,EAAE,GAAG,WAAW,MAAMA,EAAE,GAAG,YAAY,QAAQ,MAAM,IAAI8lD,EAAE,gDAAgD,EAAEjkD,EAAE7B,CAAC,MAAM4mB,EAAE,OAAO5mB,EAAE,QAAQ,KAAK,IAAI,qHAAqH,EAAE6B,EAAE7B,EAAE,OAAO,OAAOA,EAAE,OAAO8B,EAAE9B,EAAE,IAAI+B,EAAE,IAAInB,EAAEkB,CAAC,EAAE,GAAG,EAAEC,aAAaw5D,IAAI,MAAM,IAAIxV,GAAG,yDAAyDhkD,GAAG,EAAE,QAAQC,KAAKH,EAAE,CAAC,IAAIa,EAAEmzD,GAAG7zD,EAAE,OAAO3B,CAAC,EAAEA,GAAGqC,EAAE,6BAA6B,EAAE,EAAEX,EAAE,IAAIW,CAAC,CAAC,CAAC,OAAOX,CAAC,CAAC,IAAI,aAAanB,EAAE,CAAC,GAAG,KAAK,OAAO,KAAK,MAAM,IAAIklD,EAAE,mFAAmF,EAAE,KAAK,MAAM,aAAallD,CAAC,CAAC,IAAI,cAAc,CAAC,GAAG,KAAK,OAAO,KAAK,MAAM,IAAIklD,EAAE,mFAAmF,EAAE,OAAO,KAAK,MAAM,YAAY,CAAC,WAAW,CAAC,IAAIllD,EAAE,CAAC,EAAE,QAAQZ,KAAK,KAAK,OAAO,CAAC,IAAI,EAAE,CAAC,EAAE,EAAE,UAAUA,EAAE,aAAa,EAAE,EAAE,OAAOA,EAAE,UAAU,EAAEY,EAAE,KAAK,CAAC,CAAC,CAAC,MAAM,CAAC,KAAK,KAAK,KAAK,OAAOA,CAAC,CAAC,CAAC,EAAE26D,GAAG,UAAU,aAAahkC,GAAE,cAAcgkC,EAAE,EAAE,SAASC,GAAG17D,EAAE,CAAC,OAAO,IAAIm7D,GAAGn7D,CAAC,CAAC,CAAC,SAAS27D,GAAG37D,EAAE,CAAC,OAAO,IAAIy7D,GAAGz7D,CAAC,CAAC,CAAC,SAASkzD,GAAGlzD,EAAE,CAAC,OAAO0tD,GAAG1tD,CAAC,CAAC,CAAC,SAAS47D,GAAG57D,EAAE,EAAE,CAAC61D,GAAG,4BAA4B71D,EAAE,CAAC,CAAC,CAAC,IAAI67D,GAAG,cAAcpkC,GAAE,YAAY,CAAC,WAAW,CAAC,MAAM,CAAC,CAAC,CAAC,EAAEqkC,GAAG,cAAcD,EAAE,CAAC,MAAM/6D,EAAEZ,EAAE,EAAE,CAAC,OAAOsqD,GAAG1pD,EAAEZ,CAAC,CAAC,CAAC,EAAE47D,GAAG,UAAU,MAAMrkC,GAAE,cAAcqkC,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,MAAM/6D,EAAE,CAAC,OAAO0sC,GAAG1sC,CAAC,CAAC,CAAC,EAAEi7D,GAAG,UAAU,OAAOtkC,GAAE,cAAcskC,EAAE,EAAE,IAAIC,GAAG,cAAcH,EAAE,CAAC,MAAM/6D,EAAE,CAAC,OAAOwrC,GAAGxrC,CAAC,CAAC,CAAC,EAAEk7D,GAAG,UAAU,OAAOvkC,GAAE,cAAcukC,EAAE,EAAE,IAAIC,GAAG,cAAcJ,EAAE,CAAC,MAAM/6D,EAAE,CAAC,OAAO2yB,EAAE,IAAIgV,GAAG,EAAE6D,GAAGxrC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEm7D,GAAG,UAAU,QAAQxkC,GAAE,cAAcwkC,EAAE,EAAE,IAAIC,GAAG,cAAcL,EAAE,CAAC,MAAM/6D,EAAE,CAAC,OAAOA,CAAC,CAAC,EAAEo7D,GAAG,UAAU,SAASzkC,GAAE,cAAcykC,EAAE,EAAE,IAAIC,GAAG,cAAcN,EAAE,CAAC,MAAM/6D,EAAE,CAAC,OAAO47B,GAAG57B,CAAC,CAAC,CAAC,EAAEq7D,GAAG,UAAU,UAAU1kC,GAAE,cAAc0kC,EAAE,EAAE,IAAIC,GAAG,cAAcP,EAAE,CAAC,MAAM/6D,EAAE,CAAC,OAAO6pD,GAAG7pD,CAAC,CAAC,CAAC,EAAEs7D,GAAG,UAAU,cAAc3kC,GAAE,cAAc2kC,EAAE,EAAE,IAAIC,GAAG,cAAcR,EAAE,CAAC,MAAM/6D,EAAE,CAAC,OAAOwlC,GAAGxlC,CAAC,CAAC,CAAC,EAAEu7D,GAAG,UAAU,WAAW5kC,GAAE,cAAc4kC,EAAE,EAAE,IAAIC,GAAG,cAAcT,EAAE,CAAC,MAAM/6D,EAAE,CAAC,OAAO2pD,GAAG3pD,CAAC,CAAC,CAAC,EAAEw7D,GAAG,UAAU,WAAW7kC,GAAE,cAAc6kC,EAAE,EAAE,IAAIC,GAAG,cAAcV,EAAE,CAAC,MAAM/6D,EAAE,CAAC,OAAOg8B,GAAGh8B,CAAC,CAAC,CAAC,EAAEy7D,GAAG,UAAU,OAAO9kC,GAAE,cAAc8kC,EAAE,EAAE,IAAIC,GAAG,cAAcX,EAAE,CAAC,MAAM/6D,EAAEZ,EAAE,GAAG,CAAC,OAAO0uC,GAAG9tC,EAAEZ,CAAC,CAAC,CAAC,EAAEs8D,GAAG,UAAU,UAAU/kC,GAAE,cAAc+kC,EAAE,EAAE,IAAIC,GAAG,cAAcZ,EAAE,CAAC,MAAM/6D,EAAEZ,EAAE,GAAG,CAAC,OAAO0mC,GAAG9lC,EAAEZ,CAAC,CAAC,CAAC,EAAEu8D,GAAG,UAAU,aAAahlC,GAAE,cAAcglC,EAAE,EAAE,IAAIC,GAAG,cAAcb,EAAE,CAAC,MAAM/6D,EAAEZ,EAAE,EAAE,CAAC,OAAOuzB,EAAE,IAAI2F,EAAEsD,GAAGtD,EAAEt4B,EAAEZ,CAAC,CAAC,EAAEY,CAAC,CAAC,CAAC,CAAC,EAAE47D,GAAG,UAAU,QAAQjlC,GAAE,cAAcilC,EAAE,EAAE,IAAIC,GAAG,cAAcd,EAAE,CAAC,MAAM/6D,EAAE,CAAC,OAAO2yB,EAAE,IAAI2F,EAAEt4B,EAAEg8B,GAAGwJ,GAAGxlC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE67D,GAAG,UAAU,OAAOllC,GAAE,cAAcklC,EAAE,EAAE,SAASC,GAAG58D,EAAE,CAAC,OAAOA,EAAE,aAAa,CAAC,CAAC,SAAS68D,GAAG78D,EAAE,EAAE,CAAC,EAAE,CAAC,OAAO8mD,GAAG9mD,EAAEy3B,GAAE,iBAAiB,OAAO,EAAE,aAAa,EAAE,YAAY,CAAC,CAAC,SAASqlC,GAAG98D,EAAE,CAAC,GAAGA,GAAG,KAAK,CAAC,IAAI,EAAE,CAAC,EAAE,OAAO,EAAE,UAAU,SAAS,EAAE,OAAO,CAAC,EAAE68D,GAAG,CAAC,CAAC,CAAC,GAAG,OAAO78D,GAAG,SAAS,CAAC,IAAI,EAAE,CAAC,EAAE,OAAO,EAAE,UAAUA,EAAE,EAAE,OAAO,CAAC,EAAE68D,GAAG,CAAC,CAAC,KAAM,QAAO78D,aAAa67D,GAAG77D,EAAE68D,GAAG78D,CAAC,CAAC,CAAC,SAAS+8D,GAAG/8D,EAAE,CAAC,GAAGA,GAAG,MAAM,OAAOA,GAAG,SAAS,MAAM,IAAI,MAAM,yFAAyFA,GAAG,CAAC,CAAC,IAAIg9D,GAAG,cAAcvlC,GAAE,YAAY,CAAC,EAAEwlC,GAAG,cAAcD,EAAE,CAAC,YAAYl8D,EAAE,CAAC,MAAM,EAAEi8D,GAAGj8D,CAAC,EAAE,KAAK,GAAGA,GAAG,MAAMA,EAAE,IAAI,KAAK,IAAIA,EAAE,GAAG,KAAK,GAAGA,GAAG,MAAMA,EAAE,IAAI,KAAK,IAAIA,EAAE,GAAG,KAAK,MAAM,KAAK,KAAK,EAAE,KAAK,MAAM,KAAK,KAAK,CAAC,CAAC,MAAMA,EAAE,CAAC,OAAO2yB,EAAE,IAAI,CAAC,IAAIvzB,EAAEmoC,GAAG,CAAC,CAAC,CAAC,EAAE,OAAO,KAAK,QAAQnoC,EAAE44B,EAAE54B,EAAEijC,GAAG/J,EAAE,KAAK,GAAGE,GAAGx4B,CAAC,CAAC,CAAC,CAAC,GAAG,KAAK,QAAQZ,EAAE44B,EAAE54B,EAAEijC,GAAG/J,EAAE,KAAK,GAAGkxB,GAAGxpD,CAAC,CAAC,CAAC,CAAC,GAAGo7B,EAAEh8B,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,GAAG,KAAK,GAAG,GAAG,KAAK,EAAE,CAAC,CAAC,OAAO,WAAWY,EAAEZ,EAAE,CAAC,OAAO,IAAIY,EAAE,CAAC,GAAGZ,EAAE,GAAG,GAAGA,EAAE,EAAE,CAAC,CAAC,CAAC,EAAE+8D,GAAG,UAAU,OAAOxlC,GAAE,cAAcwlC,EAAE,EAAE,SAASC,GAAGl9D,EAAE,CAAC,OAAO+8D,GAAG/8D,CAAC,EAAE,IAAIi9D,GAAG,CAAC,GAAGj9D,GAAG,KAAKA,EAAE,GAAG,KAAK,GAAG,CAAC,CAAC,CAAC,CAAC,SAASm9D,GAAGn9D,EAAE,CAAC,OAAO+8D,GAAG/8D,CAAC,EAAE,IAAIi9D,GAAG,CAAC,GAAGj9D,GAAG,KAAKA,EAAE,GAAG,KAAK,GAAG,CAAC,CAAC,CAAC,CAAC,IAAIo9D,GAAG,CAAC,KAAK,MAAM,EAAE,SAASC,GAAGr9D,EAAE,CAAC,OAAO4mD,GAAG5mD,CAAC,CAAC,CAAC,SAASs9D,GAAGt9D,EAAE,EAAE,CAAC,EAAE,CAAC,OAAO8mD,GAAG9mD,EAAEy3B,GAAE,iBAAiB,OAAO,EAAE,aAAa,EAAE,aAAa,CAAC,CAAC,SAAS8lC,GAAGv9D,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,KAAK,GAAG,OAAOA,GAAG,SAAS,CAAC,IAAIE,EAAE,CAAC,UAAUF,KAAKo9D,GAAGA,GAAGp9D,GAAGA,EAAE,OAAO,CAAC,CAAC,EAAE,OAAOs9D,GAAGp9D,CAAC,CAAC,KAAM,QAAOF,aAAag9D,GAAGh9D,EAAEs9D,GAAGt9D,CAAC,CAAC,CAAC,IAAIw9D,GAAG,cAAcnQ,EAAE,CAAC,YAAYvsD,EAAE,CAAC,MAAMA,GAAG,KAAK,CAAC,EAAEA,CAAC,EAAE,KAAK,gBAAgB,GAAGA,GAAG,OAAO,KAAK,SAASA,EAAE,SAAS,CAAC,KAAKA,EAAEZ,EAAE,CAACY,EAAE0rD,GAAG1rD,CAAC,EAAE,IAAI,EAAEwrC,GAAGxrC,CAAC,EAAE,OAAO,KAAK,UAAU,OAAO,EAAEw9B,GAAG,EAAE,EAAE,KAAK,QAAQ,GAAG,CAAC,CAAC,mBAAmBx9B,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,SAAS,KAAK,QAAQ,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAE08D,GAAG,UAAU,OAAO/lC,GAAE,cAAc+lC,EAAE,EAAE,IAAIC,GAAG,cAAcpQ,EAAE,CAAC,YAAYvsD,EAAE,CAAC,MAAMA,GAAG,KAAK,CAAC,EAAEA,CAAC,EAAE,KAAK,cAAc,GAAGA,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,MAAMA,EAAE,OAAO,KAAK,KAAK,cAAcA,EAAE,KAAK,CAAC,KAAKA,EAAEZ,EAAE,CAAC,IAAI,EAAEssD,GAAG1rD,CAAC,EAAE,OAAOokC,GAAG,EAAE,KAAK,KAAK,CAAC,CAAC,mBAAmBpkC,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,MAAM,KAAK,KAAK,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAE28D,GAAG,UAAU,YAAYhmC,GAAE,cAAcgmC,EAAE,EAAE,IAAIC,GAAG,cAAcrQ,EAAE,CAAC,YAAYvsD,EAAE,CAAC,GAAG,MAAMA,GAAG,KAAK,CAAC,EAAEA,CAAC,EAAE,KAAK,0BAA0B,QAAQA,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,gBAAgB,GAAG,KAAK,iBAAiBurD,GAAGvrD,EAAE,kBAAkB,KAAK,yBAAyB,EAAE,KAAK,iBAAiBy8D,GAAGz8D,EAAE,gBAAgB,EAAE,KAAK,gBAAgBsuD,GAAGtuD,EAAE,eAAe,EAAEA,EAAE,YAAY,KAAK,KAAK,WAAW,aAAa,MAAM,QAAQA,EAAE,UAAU,EAAE,KAAK,WAAWA,EAAE,mBAAmB,OAAOA,EAAE,YAAY,SAAS,KAAK,WAAW,CAACA,EAAE,UAAU,MAAO,OAAM,IAAIklD,EAAE,sEAAsEllD,EAAE,YAAY,CAAC,CAAC,MAAMA,EAAE,CAACA,EAAE2rD,GAAG3rD,CAAC,EAAE,IAAIZ,EAAEY,EAAE,MAAM,CAAC,EAAE,GAAG,KAAK,YAAY,KAAK,QAAQP,KAAK,KAAK,WAAWL,EAAEK,EAAE,GAAG,EAAE,KAAK,MAAM,KAAK,UAAU,QAAQL,EAAE,UAAU,KAAK,iBAAiB,KAAK,iBAAiB,GAAG,KAAK,eAAe,EAAE,IAAI,EAAE,CAAC,EAAE,GAAG,KAAK,YAAY,KAAK,QAAQK,EAAE,EAAEA,EAAEO,EAAE,OAAO,EAAEP,EAAE,EAAEA,GAAGO,EAAEP,GAAG,KAAK,UAAU,CAAC,IAAIysD,GAAG,CAAC,KAAKlsD,EAAE,OAAO,KAAK,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOY,EAAE0rD,GAAG1rD,CAAC,EAAE6pC,GAAG7pC,EAAE,KAAK,MAAM,KAAK,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,iBAAiBsrD,GAAG,KAAK,gBAAgB,EAAE,iBAAiBiR,GAAG,KAAK,gBAAgB,EAAE,gBAAgBnO,GAAG,KAAK,eAAe,EAAE,WAAW,KAAK,UAAU,EAAEhvD,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAE48D,GAAG,UAAU,QAAQjmC,GAAE,cAAcimC,EAAE,EAAE,IAAIC,GAAG,cAActQ,EAAE,CAAC,YAAYvsD,EAAE,CAAC,GAAG,MAAMA,GAAG,KAAK,CAAC,EAAEA,CAAC,EAAE,KAAK,cAAc,EAAEA,GAAG,OAAOA,EAAE,CAAC,GAAGA,EAAE,OAAO,MAAMA,EAAE,QAAQ,KAAK,cAAc,MAAM,IAAImlD,GAAG,4BAA4BnlD,EAAE,+CAA+C,EAAE,KAAK,MAAMA,EAAE,OAAO,KAAK,KAAK,cAAcA,EAAE,KAAK,CAAC,KAAKA,EAAEZ,EAAE,CAAC,IAAI,EAAEssD,GAAG1rD,CAAC,EAAE,OAAO8gC,GAAG,CAAC,CAAC,CAAC,mBAAmB9gC,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,MAAM,KAAK,KAAK,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAE68D,GAAG,UAAU,MAAMlmC,GAAE,cAAckmC,EAAE,EAAE,IAAIC,GAAG,cAAcvQ,EAAE,CAAC,YAAYvsD,EAAE,CAAC,MAAMA,GAAG,KAAK,CAAC,EAAEA,CAAC,EAAE,KAAK,cAAc,EAAEA,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,MAAMA,EAAE,OAAO,KAAK,KAAK,cAAcA,EAAE,KAAK,CAAC,KAAKA,EAAEZ,EAAE,CAAC,IAAI,EAAEssD,GAAG1rD,CAAC,EAAE,OAAOs4B,EAAE,EAAE3I,GAAE+T,GAAG,EAAE,KAAK,KAAK,EAAE,SAAS,CAAC,CAAC,CAAC,mBAAmB1jC,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,MAAM,KAAK,KAAK,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAE88D,GAAG,UAAU,kBAAkBnmC,GAAE,cAAcmmC,EAAE,EAAE,IAAIC,GAAG,cAAcxQ,EAAE,CAAC,YAAYvsD,EAAE,CAAC,MAAMA,GAAG,KAAK,CAAC,EAAEA,CAAC,EAAE,KAAK,aAAa,EAAEA,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,QAAQ,IAAI07D,GAAG,EAAE,MAAM,KAAK,KAAK17D,EAAE,MAAM,KAAK,KAAK,aAAaA,EAAE,IAAI,CAAC,KAAKA,EAAEZ,EAAE,CAAC,IAAI,EAAEssD,GAAG1rD,CAAC,EAAE,OAAO,KAAK,QAAQ,EAAE,KAAK,IAAI,CAAC,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,KAAK,KAAK,IAAI,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAE+8D,GAAG,UAAU,UAAUpmC,GAAE,cAAcomC,EAAE,EAAE,SAASC,GAAG99D,EAAE,EAAEE,EAAE,CAAC,GAAG,OAAOF,GAAG,SAAS,OAAOomD,GAAGpmD,EAAE,CAAC,EAAE,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAIgmD,EAAE,OAAO9lD,6CAA6C,yBAAyBF,EAAE,kBAAkB,EAAE,QAAQM,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAEP,EAAEM,GAAG,GAAG,CAACyoD,GAAGxoD,CAAC,EAAE,MAAM,IAAIylD,EAAE,OAAO9lD,6CAA6C,yBAAyB,KAAK,UAAUF,CAAC,oCAAoCO,GAAG,CAAC,CAAC,OAAOP,CAAC,CAAC,SAAS+9D,GAAG/9D,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,GAAGP,GAAG,KAAK,OAAOA,EAAE,IAAI,EAAE,GAAG,EAAE,IAAIO,EAAE,GAAG,EAAE,OAAOL,IAAI,OAAO,EAAEF,EAAE,EAAEA,EAAE,EAAE,EAAE,KAAK,OAAO,EAAEM,EAAE,GAAGA,CAAC,CAAC,CAAC,SAAS09D,GAAGh+D,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAGN,GAAG,KAAK,OAAO,KAAK,GAAGM,IAAI,QAAQN,EAAEA,EAAE,EAAEkpD,GAAG,CAAChpD,EAAE,EAAE,CAAC,CAAC,UAAUI,IAAI,OAAON,EAAEA,EAAE,MAAO,OAAM,IAAIgmD,EAAE,2BAA2B1lD,IAAI,EAAE,OAAON,CAAC,CAAC,SAASi+D,GAAGj+D,EAAE,EAAE,CAAC,OAAOyzB,EAAE,KAAK00B,GAAG,CAAC,EAAE,IAAI,gBAAgBtzB,GAAG70B,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,EAAEA,EAAE,CAAC,CAAC,SAASk+D,GAAGl+D,EAAE,EAAE,CAAC,OAAOyzB,EAAE,KAAK00B,GAAG,CAAC,EAAE,IAAI,gBAAgBtzB,GAAG70B,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,EAAEA,EAAE,CAAC,CAAC,SAASm+D,GAAGn+D,EAAE,EAAEE,EAAEI,EAAE,EAAEC,EAAE,QAAQ,EAAE,EAAE,EAAE,CAAC,OAAOkzB,EAAE,IAAI,CAAC,GAAG,GAAG,OAAO,EAAE61B,GAAG,GAAGnB,GAAG,CAAC,EAAEnoD,EAAE,MAAM,SAAS,EAAE,MAAM,IAAIgmD,EAAE,+DAA+DhmD,EAAE,MAAM,iBAAiB,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAIgmD,EAAE,iEAAiE,EAAE,MAAM,gBAAgB,EAAE,GAAG9lD,GAAG,MAAMA,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI8lD,EAAE,+DAA+D,EAAE,MAAM,gBAAgB,EAAE,GAAG,IAAI,kBAAkBhmD,EAAE60B,GAAG70B,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,GAAGO,IAAI,SAAS,MAAM,IAAI0lD,GAAG,+EAA+E,EAAE,IAAIhkD,EAAEi9B,GAAGl/B,EAAE,EAAEM,EAAEC,IAAI,OAAO,OAAO,QAAQ,MAAM,CAAC,EAAE,OAAOL,GAAG,OAAO+B,EAAEsoD,GAAGtoD,EAAE/B,CAAC,GAAG+B,CAAC,CAAC,CAAC,CAAC,SAASm8D,GAAGp+D,EAAE,EAAEE,EAAEI,EAAE,CAAC,EAAE,CAAC,EAAEC,EAAE,QAAQ,EAAE,EAAE0B,EAAE,KAAK,CAAC,OAAOwxB,EAAE,IAAI,CAAC,GAAG,GAAG,OAAO,EAAE61B,GAAG,GAAGnB,GAAG,CAAC,EAAEnoD,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,MAAM,IAAIgmD,EAAE,6EAA6EhmD,EAAE,OAAO,EAAE,GAAG,EAAE,OAAO,GAAG,EAAE,OAAO,EAAE,MAAM,IAAIgmD,EAAE,8EAA8EhmD,EAAE,OAAO,EAAE,IAAIkC,EAAE+7D,GAAGj+D,EAAE,CAAC,EAAE,GAAGO,IAAI,SAAS,MAAM,IAAI0lD,GAAG,+EAA+E,EAAE,OAAO/jD,EAAEuwC,GAAG,OAAO,CAAC,EAAEvwC,EAAE,OAAO,EAAE,QAAQ5B,EAAE,IAAIC,IAAI,OAAO,OAAO,QAAQ,UAAU,EAAE,WAAW,OAAO,KAAKL,EAAE,WAAW+B,CAAC,CAAC,EAAE,IAAI,kBAAkBC,EAAE2yB,GAAG3yB,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,GAAGA,CAAC,CAAC,CAAC,CAAC,SAASm8D,GAAGr+D,EAAE,EAAEE,EAAEI,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEC,EAAE,QAAQ,EAAE,EAAE,CAAC,OAAOkzB,EAAE,IAAI,CAAC,GAAG,GAAG,OAAO,EAAE61B,GAAG,GAAGnB,GAAG,CAAC,EAAEnoD,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,MAAM,IAAIgmD,EAAE,mEAAmEhmD,EAAE,OAAO,EAAE,GAAG,EAAE,OAAO,GAAG,EAAE,OAAO,EAAE,MAAM,IAAIgmD,EAAE,oEAAoEhmD,EAAE,OAAO,EAAE,IAAIiC,EAAEi8D,GAAGl+D,EAAE,CAAC,EAAE,GAAGO,IAAI,SAAS,MAAM,IAAI0lD,GAAG,+EAA+E,EAAE,OAAOhkD,EAAEu9B,GAAGv9B,EAAE,EAAE3B,EAAEC,IAAI,OAAO,OAAO,QAAQ,QAAQ,CAAC,EAAEL,GAAG,OAAO+B,EAAEsoD,GAAGtoD,EAAE/B,CAAC,GAAG,IAAI,kBAAkB+B,EAAE4yB,GAAG5yB,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,GAAGA,CAAC,CAAC,CAAC,CAAC,IAAIq8D,GAAG,cAAcjR,EAAE,CAAC,YAAYvsD,EAAEZ,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,KAAK,KAAK,KAAK,2BAA2B,eAAe,KAAK,yBAAyB,QAAQo+D,GAAG,WAAWp+D,CAAC,EAAE,KAAK,KAAKY,EAAEumD,GAAG,KAAK,KAAK,MAAM,EAAE,KAAK,OAAO,GAAG,KAAK,OAAO,GAAG,KAAK,OAAO,EAAE,MAAM,IAAIpB,GAAG,qDAAqD,KAAK,+BAA+B,EAAE,GAAG,KAAK,WAAW6X,GAAG59D,EAAE,WAAWY,EAAE,YAAY,EAAE,KAAK,QAAQg9D,GAAG59D,EAAE,SAAS,KAAK,EAAEA,EAAE,QAAQY,EAAE,SAAS,EAAE,KAAK,QAAQZ,EAAE,SAAS,KAAK,QAAQA,EAAE,QAAQmoD,GAAG,KAAK,OAAO,EAAE,KAAK,WAAWnoD,EAAE,YAAY,KAAK,eAAeA,EAAE,WAAWioD,GAAG,KAAK,UAAU,EAAE,KAAK,WAAW2U,GAAG58D,EAAE,UAAU,EAAE,KAAK,QAAQA,EAAE,SAAS,KAAK,GAAGA,EAAE,QAAQ,KAAK,gBAAgBmsD,GAAGnsD,EAAE,iBAAiB,KAAK,wBAAwB,EAAE,KAAK,eAAekvD,GAAGlvD,EAAE,cAAc,EAAE,KAAK,gBAAgBq9D,GAAGr9D,EAAE,eAAe,EAAE,KAAK,oBAAoBq9D,GAAGr9D,EAAE,mBAAmB,EAAE,KAAK,aAAa49D,GAAG59D,EAAE,cAAc,KAAK,EAAEA,EAAE,aAAaY,EAAE,cAAc,EAAE,KAAK,OAAO,GAAG,MAAM,QAAQ,KAAK,YAAY,GAAG,KAAK,aAAa,SAAS,EAAE,MAAM,IAAIklD,EAAE,iGAAiG,KAAK,UAAU,KAAK,YAAY,GAAG,EAAE,GAAG,KAAK,OAAO,GAAG,GAAG,OAAO,KAAK,cAAc,SAAS,KAAK,aAAa,CAAC,KAAK,aAAa,KAAK,YAAY,UAAU,KAAK,aAAa,SAAS,EAAE,MAAM,IAAIA,EAAE,0FAA0F,KAAK,UAAU,KAAK,YAAY,GAAG,UAAU,KAAK,OAAO,GAAG,GAAG,OAAO,KAAK,cAAc,SAAS,KAAK,aAAa,CAAC,KAAK,aAAa,KAAK,aAAa,KAAK,YAAY,UAAU,KAAK,aAAa,SAAS,EAAE,MAAM,IAAIA,EAAE,4FAA4F,KAAK,UAAU,KAAK,YAAY,GAAG,EAAE,CAAC,OAAO,WAAWllD,EAAE,CAAC,GAAGulD,GAAG,eAAevlD,EAAE,yCAAyC,EAAE,OAAOA,EAAE,YAAY,UAAU,CAACsmD,GAAGtmD,EAAE,WAAW,SAAS,EAAE,CAAC,EAAE,MAAM,IAAIklD,EAAE,oGAAoG,KAAK,UAAUllD,EAAE,UAAU,IAAI,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,WAAW,KAAK,WAAW,QAAQ,KAAK,QAAQ,QAAQ,KAAK,QAAQ,WAAW,KAAK,WAAW,aAAa,KAAK,aAAa,WAAW87D,GAAG,KAAK,UAAU,EAAE,QAAQ,KAAK,QAAQ,gBAAgBxQ,GAAG,KAAK,eAAe,EAAE,gBAAgBiR,GAAG,KAAK,eAAe,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,eAAenO,GAAG,KAAK,cAAc,CAAC,EAAEhvD,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEy9D,GAAG,cAAcD,EAAE,CAAC,YAAYx9D,EAAEZ,EAAE,CAAC,MAAMY,EAAEZ,CAAC,EAAE,KAAK,OAAO,KAAKq+D,GAAG,WAAWr+D,CAAC,EAAE,KAAK,QAAQA,EAAE,QAAQmnD,GAAG,KAAK,QAAQ,SAAS,EAAE,KAAK,kBAAkBgF,GAAGnsD,EAAE,mBAAmB,KAAK,0BAA0B,EAAE,KAAK,iBAAiBkvD,GAAGlvD,EAAE,gBAAgB,EAAE,KAAK,kBAAkBq9D,GAAGr9D,EAAE,iBAAiB,CAAC,CAAC,MAAMY,EAAE,CAACA,EAAE2rD,GAAG3rD,CAAC,EAAE,IAAIZ,EAAE,KAAK,aAAa,gBAAgB,EAAEY,EAAE,OAAO,EAAE,GAAGA,EAAEZ,IAAI,KAAK,MAAM,IAAI8lD,EAAE,+DAA+DllD,EAAEZ,IAAI,EAAE,IAAI,EAAEY,EAAEZ,GAAGK,EAAE,KAAK,WAAW,OAAO,CAAC,EAAE,KAAK,OAAO,CAAC,EAAE,KAAK,OAAO,KAAK,UAAU,SAASA,EAAE,KAAK,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,KAAK,UAAU,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,OAAO,EAAE,KAAK,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,GAAG,KAAK,UAAU,CAAC,CAAC,KAAK,KAAK,KAAK,EAAE,KAAK,CAAC,CAACL,GAAG,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,KAAKY,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC3yB,EAAE0rD,GAAG1rD,CAAC,EAAE,IAAI,EAAEP,EAAE,KAAK,MAAM,KAAK,KAAK,KAAK,KAAK,KAAK,EAAEwB,EAAEylD,GAAG,KAAK,WAAW,aAAa,CAAC,EAAE,GAAGzlD,GAAG,MAAM,KAAK,OAAO,EAAE,EAAEq8D,GAAGt9D,EAAE,KAAK,OAAO,KAAK,EAAEP,EAAE,KAAK,QAAQ,KAAK,QAAQ,KAAK,WAAW,KAAK,aAAawB,CAAC,MAAM,CAAC,GAAG,KAAK,OAAO,EAAE,EAAEo8D,GAAGr9D,EAAE,KAAK,OAAO,KAAK,EAAEP,EAAE,KAAK,QAAQ,GAAG,KAAK,QAAQ,KAAK,WAAW,KAAK,aAAa,EAAE,UAAU,KAAK,OAAO,EAAE,EAAE69D,GAAGt9D,EAAE,KAAK,OAAO,KAAK,EAAEP,EAAE,KAAK,QAAQ,KAAK,QAAQ,KAAK,WAAW,KAAK,YAAY,UAAU,KAAK,OAAO,EAAE,EAAE89D,GAAGv9D,EAAE,KAAK,OAAO,KAAK,EAAEP,EAAE,KAAK,QAAQ,KAAK,QAAQ,KAAK,WAAW,KAAK,YAAY,MAAO,OAAM,IAAI0lD,GAAG,uDAAuD,EAAE,KAAK,YAAY,OAAO,EAAE,KAAK,WAAW,MAAM,CAAC,EAAE,CAAC,OAAO,CAAC,CAAC,CAAC,CAAC,mBAAmBnlD,EAAE,CAACA,EAAE2rD,GAAG3rD,CAAC,EAAE,IAAIZ,EAAE,CAAC,EAAE,EAAE,KAAK,aAAa,eAAeY,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAE,QAAQiB,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAE+7D,GAAG,EAAEh8D,GAAG,KAAK,WAAWA,GAAG,KAAK,QAAQ,KAAK,QAAQA,GAAG,OAAO,KAAK,cAAc,SAAS,KAAK,aAAa,KAAK,aAAaA,EAAE,EAAE7B,EAAE,KAAK8B,CAAC,CAAC,CAAC,IAAIzB,EAAE,CAACO,EAAE,EAAE,EAAE,OAAO,KAAK,aAAa,gBAAgBP,EAAEA,EAAE,OAAOL,CAAC,EAAEK,EAAE,KAAK,KAAK,OAAO,IAAIA,EAAE,KAAK,KAAK,OAAO,EAAEA,EAAEA,EAAE,OAAOL,CAAC,GAAGK,CAAC,CAAC,WAAW,CAAC,IAAIO,EAAE,CAAC,QAAQ,KAAK,QAAQ,kBAAkBsrD,GAAG,KAAK,iBAAiB,EAAE,kBAAkBiR,GAAG,KAAK,iBAAiB,EAAE,iBAAiBnO,GAAG,KAAK,gBAAgB,CAAC,EAAEhvD,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,OAAO,WAAWA,EAAE,CAAC,GAAG,EAAE,YAAYA,IAAI,OAAOA,EAAE,SAAS,UAAUA,EAAE,QAAQ,EAAE,MAAM,IAAIklD,EAAE,0EAA0E,KAAK,UAAUllD,EAAE,OAAO,GAAG,CAAC,CAAC,EAAE09D,GAAG,cAAcD,EAAE,CAAC,YAAYz9D,EAAE,CAAC,MAAM,EAAEA,CAAC,EAAE09D,GAAG,WAAW19D,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAE,OAAO,OAAOA,EAAE,KAAKA,CAAC,CAAC,OAAO,WAAWA,EAAE,CAAC,GAAG,OAAOA,EAAE,YAAY,UAAU,CAACsmD,GAAGtmD,EAAE,WAAW,SAAS,EAAE,CAAC,EAAE,MAAM,IAAIklD,EAAE,8FAA8F,KAAK,UAAUllD,EAAE,UAAU,IAAI,CAAC,CAAC,EAAE09D,GAAG,UAAU,SAAS/mC,GAAE,cAAc+mC,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAYz9D,EAAE,CAAC,MAAM,EAAEA,CAAC,EAAE29D,GAAG,WAAW39D,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAE,OAAO,OAAOA,EAAE,KAAKA,CAAC,CAAC,OAAO,WAAWA,EAAE,CAAC,GAAG,OAAOA,EAAE,YAAY,UAAU,EAAE,MAAM,QAAQA,EAAE,UAAU,IAAIA,EAAE,WAAW,SAAS,GAAGA,EAAE,WAAW,SAAS,IAAI,MAAM,IAAIklD,EAAE,2FAA2F,KAAK,UAAUllD,EAAE,UAAU,IAAI,CAAC,CAAC,EAAE29D,GAAG,UAAU,SAAShnC,GAAE,cAAcgnC,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAY19D,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,UAAU,CAAC,IAAIksD,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,KAAK,UAAU,QAAQ,KAAK,UAAU,QAAQ,MAAM,IAAIhH,EAAE,uGAAuG,KAAK,SAAS,CAAC,CAAC,MAAMllD,EAAE,CAAC,GAAGA,EAAE2rD,GAAG3rD,CAAC,EAAEA,EAAE,SAAS,EAAE,MAAM,IAAIklD,EAAE,mDAAmD,KAAK,UAAUllD,CAAC,CAAC,EAAE,IAAIZ,EAAE,KAAK,aAAa,gBAAgB,EAAEY,EAAE,OAAO,EAAE,GAAGA,EAAEZ,IAAI,KAAK,MAAM,IAAI8lD,EAAE,sEAAsE,EAAE,IAAI,EAAEllD,EAAEZ,GAAGK,EAAE,KAAK,WAAW,OAAO,CAAC,KAAK,QAAQ,CAAC,CAAC,EAAE,KAAK,OAAO,KAAK,UAAU,SAASA,EAAE,UAAU,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,KAAK,UAAU,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,OAAO,EAAE,UAAU,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,GAAG,KAAK,UAAU,CAAC,IAAIysD,GAAG,CAAC,KAAK,EAAE,KAAK,CAAC,CAAC9sD,GAAG,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,KAAKY,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,IAAI,EAAE+4B,GAAG1rD,CAAC,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAIklD,EAAE,2FAA2F,EAAE,MAAM,QAAQ,EAAE,IAAIzlD,EAAE,EAAE,MAAMwB,EAAExB,EAAE,GAAGyB,EAAEC,EAAE,KAAK,aAAa,iBAAiBD,EAAE,EAAEC,EAAE,IAAID,EAAE,EAAEC,EAAE,GAAG,IAAIC,EAAE3B,EAAEyB,GAAG,EAAEzB,EAAE0B,GAAGW,EAAE,KAAK,WAAW,GAAG,EAAE,KAAK,WAAW,GAAGE,EAAE,KAAK,QAAQ,GAAGC,EAAE,KAAK,QAAQ,GAAGC,EAAEg7D,GAAG97D,EAAEY,EAAEF,EAAE,KAAK,OAAO,EAAEsB,EAAE85D,GAAG,EAAEj7D,EAAE,EAAE,KAAK,OAAO,EAAEoB,EAAE,CAACpC,EAAEiB,EAAEkB,EAAE,KAAK,OAAO,EAAE,KAAK,aAAa,iBAAiB,EAAE2wB,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,IAAIttB,EAAE+3B,GAAG,EAAE,KAAK,OAAO,KAAK,EAAEn7B,EAAE,KAAK,QAAQ,KAAK,OAAO,EAAE,OAAO,KAAK,aAAa,iBAAiBoD,EAAEstB,GAAGttB,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,KAAK,MAAM,OAAOA,EAAEgjD,GAAGhjD,EAAE,KAAK,KAAK,KAAK,EAAE,KAAK,UAAU,GAAG,KAAK,YAAY,OAAOA,EAAE,KAAK,WAAW,MAAMA,CAAC,GAAGA,CAAC,CAAC,CAAC,CAAC,mBAAmBzG,EAAE,CAACA,EAAE2rD,GAAG3rD,CAAC,EAAE,IAAIZ,EAAEY,EAAE,MAAM,EAAE,EAAEP,EAAEwB,EAAE,KAAK,aAAa,iBAAiB,EAAE,EAAExB,EAAE,EAAEwB,EAAE,IAAI,EAAE,EAAExB,EAAE,EAAEwB,EAAE,GAAG,IAAIC,EAAE,KAAK,WAAW,GAAGC,EAAE,KAAK,WAAW,GAAGC,EAAE,KAAK,QAAQ,GAAG,EAAE,KAAK,QAAQ,GAAG,OAAOhC,EAAE,GAAG,KAAK,QAAQA,EAAEK,GAAGy9D,GAAG99D,EAAEK,GAAG2B,EAAEF,EAAE,KAAK,OAAO,EAAE9B,EAAE6B,GAAGi8D,GAAG99D,EAAE6B,GAAG,EAAEE,EAAE,KAAK,OAAO,EAAE/B,CAAC,CAAC,WAAW,CAAC,IAAIY,EAAE,MAAM,UAAU,EAAE,OAAO,OAAOA,EAAE,aAAaA,CAAC,CAAC,EAAE49D,GAAG,UAAU,kBAAkBjnC,GAAE,cAAcinC,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAY39D,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,UAAU,CAAC,IAAIksD,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,KAAK,UAAU,QAAQ,KAAK,UAAU,QAAQ,MAAM,IAAIhH,EAAE,uGAAuG,KAAK,SAAS,CAAC,CAAC,MAAMllD,EAAE,CAAC,GAAGA,EAAE2rD,GAAG3rD,CAAC,EAAEA,EAAE,SAAS,EAAE,MAAM,IAAIklD,EAAE,mDAAmD,KAAK,UAAUllD,CAAC,CAAC,EAAE,IAAIZ,EAAE,KAAK,aAAa,gBAAgB,EAAEY,EAAE,OAAO,EAAE,GAAGA,EAAEZ,IAAI,KAAK,MAAM,IAAI8lD,EAAE,sEAAsE,EAAE,IAAI,EAAEllD,EAAEZ,GAAGK,EAAE,KAAK,WAAW,OAAO,CAAC,KAAK,QAAQ,CAAC,CAAC,EAAE,KAAK,OAAO,KAAK,UAAU,SAASA,EAAE,UAAU,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,KAAK,UAAU,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,OAAO,EAAE,UAAU,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,GAAG,KAAK,UAAU,CAAC,IAAIysD,GAAG,CAAC,KAAK,EAAE,KAAK,CAAC,CAAC9sD,GAAG,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,KAAKY,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,IAAI,EAAE+4B,GAAG1rD,CAAC,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAIklD,EAAE,2FAA2F,EAAE,MAAM,QAAQ,EAAE,IAAIzlD,EAAE,EAAE,MAAMwB,EAAExB,EAAE,GAAGyB,EAAEC,EAAEC,EAAE,KAAK,aAAa,iBAAiBA,EAAE,EAAEF,EAAE,EAAEC,EAAE,IAAIC,EAAE,EAAEF,EAAE,EAAEC,EAAE,GAAG,IAAI,EAAE1B,EAAE2B,GAAGU,EAAErC,EAAEyB,GAAG,EAAEzB,EAAE0B,GAAGa,EAAE,KAAK,WAAW,GAAGC,EAAE,KAAK,WAAW,GAAGC,EAAE,KAAK,WAAW,GAAGkB,EAAE,KAAK,QAAQ,GAAGC,EAAE,KAAK,QAAQ,GAAGoD,EAAE,KAAK,QAAQ,GAAG,EAAEy2D,GAAG,EAAE95D,EAAEpB,EAAE,KAAK,OAAO,EAAE6B,EAAEq5D,GAAGp7D,EAAEuB,EAAEpB,EAAE,KAAK,OAAO,EAAE6B,EAAEo5D,GAAG,EAAEz2D,EAAEvE,EAAE,KAAK,OAAO,EAAE6B,EAAE,CAAC9C,EAAE,EAAE4C,EAAEC,EAAE,KAAK,OAAO,EAAE,KAAK,aAAa,iBAAiB,EAAEiwB,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,IAAI/vB,EAAE86B,GAAG,EAAE,KAAK,OAAO,KAAK,EAAE/6B,EAAE,KAAK,QAAQ,KAAK,OAAO,EAAE,OAAO,KAAK,aAAa,iBAAiBC,EAAE+vB,GAAG/vB,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,KAAK,OAAO,OAAOA,EAAEylD,GAAGzlD,EAAE,KAAK,KAAK,KAAK,EAAE,KAAK,UAAU,GAAG,KAAK,aAAa,OAAOA,EAAE,KAAK,WAAW,MAAMA,CAAC,GAAGA,CAAC,CAAC,CAAC,CAAC,mBAAmBhE,EAAE,CAACA,EAAE2rD,GAAG3rD,CAAC,EAAE,IAAIZ,EAAEY,EAAE,MAAM,EAAE,EAAEP,EAAEwB,EAAEC,EAAE,KAAK,aAAa,iBAAiB,EAAE,EAAEzB,EAAE,EAAEwB,EAAE,EAAEC,EAAE,IAAI,EAAE,EAAEzB,EAAE,EAAEwB,EAAE,EAAEC,EAAE,GAAG,IAAIC,EAAE,KAAK,WAAW,GAAGC,EAAE,KAAK,WAAW,GAAG,EAAE,KAAK,WAAW,GAAGU,EAAE,KAAK,QAAQ,GAAG,EAAE,KAAK,QAAQ,GAAGE,EAAE,KAAK,QAAQ,GAAG,OAAO5C,EAAE,GAAG,KAAK,QAAQA,EAAEK,GAAGy9D,GAAG99D,EAAEK,GAAGqC,EAAEX,EAAE,KAAK,OAAO,EAAE/B,EAAE6B,GAAGi8D,GAAG99D,EAAE6B,GAAG,EAAEG,EAAE,KAAK,OAAO,EAAEhC,EAAE8B,GAAGg8D,GAAG99D,EAAE8B,GAAGc,EAAE,EAAE,KAAK,OAAO,EAAE5C,CAAC,CAAC,WAAW,CAAC,IAAIY,EAAE,MAAM,UAAU,EAAE,OAAO,OAAOA,EAAE,aAAaA,CAAC,CAAC,EAAE69D,GAAG,UAAU,kBAAkBlnC,GAAE,cAAcknC,EAAE,EAAE,IAAIC,GAAG,cAAcL,EAAE,CAAC,YAAYz9D,EAAEZ,EAAE,CAAC,GAAG,MAAMY,EAAEZ,CAAC,EAAE,KAAK,8BAA8B,gBAAgB,KAAK,8BAA8B,gBAAgB,KAAK,gBAAgB,KAAK,KAAK,gBAAgB,KAAKA,EAAE,SAAS,KAAK,MAAM,IAAI8lD,EAAE,qFAAqF,EAAE,GAAG9lD,EAAE,mBAAmB,MAAMA,EAAE,mBAAmB,MAAMA,EAAE,kBAAkB,KAAK,MAAM,IAAI8lD,EAAE,oPAAoP,EAAE,GAAG9lD,EAAE,SAAS,MAAMA,EAAE,UAAU,QAAQA,EAAE,UAAU,QAAQ,MAAM,IAAI8lD,EAAE,gBAAgB,KAAK,uEAAuE,KAAK,UAAU9lD,EAAE,OAAO,GAAG,EAAE,KAAK,gBAAgBA,EAAE,iBAAiB,KAAK,EAAEA,EAAE,gBAAgB,KAAK,qBAAqBmsD,GAAGnsD,EAAE,sBAAsB,KAAK,6BAA6B,EAAE,KAAK,qBAAqBq9D,GAAGr9D,EAAE,oBAAoB,EAAE,KAAK,oBAAoBkvD,GAAGlvD,EAAE,mBAAmB,EAAE,KAAK,qBAAqBmsD,GAAGnsD,EAAE,sBAAsB,KAAK,6BAA6B,EAAE,KAAK,qBAAqBq9D,GAAGr9D,EAAE,oBAAoB,EAAE,KAAK,oBAAoBkvD,GAAGlvD,EAAE,mBAAmB,CAAC,CAAC,MAAMY,EAAE,CAAC,GAAGA,EAAE2rD,GAAG3rD,CAAC,EAAEA,EAAE,OAAO,KAAK,KAAK,EAAE,MAAM,IAAIklD,EAAE,0BAA0B,KAAK,0BAA0B,KAAK,KAAK,gCAAgC,KAAK,UAAUllD,CAAC,GAAG,EAAE,IAAIZ,EAAE,KAAK,aAAa,gBAAgB,EAAEY,EAAE,OAAO,EAAE,GAAGA,EAAEZ,IAAI,MAAMY,EAAEZ,GAAG,EAAE,MAAM,IAAI8lD,EAAE,oEAAoE,KAAK,UAAUllD,EAAEZ,EAAE,GAAG,EAAE,IAAI,EAAEY,EAAEZ,GAAGK,EAAE,KAAK,WAAW,OAAO,CAAC,EAAE,KAAK,eAAe,CAAC,EAAEwB,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAE,KAAK,KAAK,EAAEA,EAAEF,EAAE,KAAK,CAAC,EAAEA,EAAE,KAAK,EAAE,KAAK,gBAAgB,KAAK,OAAO,EAAE,IAAIC,EAAE,GAAG,KAAK,gBAAgB,KAAK,UAAU,mBAAmBzB,EAAE,UAAU,KAAK,qBAAqB,KAAK,qBAAqByB,EAAE,KAAK,mBAAmB,EAAE,KAAK,gBAAgB,KAAK,UAAU,mBAAmBD,EAAE,UAAU,KAAK,qBAAqB,KAAK,qBAAqBC,EAAE,KAAK,mBAAmB,EAAE,KAAK,QAAQ,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,OAAO,EAAE,UAAU,KAAK,gBAAgB,KAAK,gBAAgBA,EAAE,KAAK,cAAc,EAAE,KAAK,KAAK,KAAK,KAAK,UAAU,CAAC,IAAIgrD,GAAG,CAAC,KAAK,KAAK,KAAK,EAAE,KAAK,CAAC,CAAC9sD,GAAG,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,KAAKY,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC3yB,EAAE0rD,GAAG1rD,CAAC,EAAE,IAAI,EAAE,GAAG,KAAK,OAAO,EAAE,MAAM,IAAImlD,GAAG,kDAAkD,EAAE,OAAO,KAAK,OAAO,IAAI,KAAK,aAAa,kBAAkBnlD,EAAE+zB,GAAG/zB,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,EAAE4sC,GAAG5sC,EAAE,KAAK,gBAAgB,KAAK,EAAE,KAAK,gBAAgB,KAAK,EAAE,KAAK,QAAQ,KAAK,QAAQ,KAAK,aAAa,MAAM,GAAG,KAAK,UAAU,EAAEypD,GAAG,EAAE,KAAK,KAAK,KAAK,EAAE,KAAK,UAAU,GAAG,KAAK,YAAY,OAAO,EAAE,KAAK,WAAW,MAAM,CAAC,GAAG,KAAK,aAAa,kBAAkB,EAAE11B,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAI/zB,EAAE,MAAM,UAAU,EAAE,OAAO,OAAOA,EAAE,KAAK,OAAOA,EAAE,kBAAkB,OAAOA,EAAE,kBAAkB,OAAOA,EAAE,iBAAiBA,EAAE,qBAAqBsrD,GAAG,KAAK,oBAAoB,EAAEtrD,EAAE,qBAAqBsrD,GAAG,KAAK,oBAAoB,EAAEtrD,EAAE,qBAAqBu8D,GAAG,KAAK,oBAAoB,EAAEv8D,EAAE,qBAAqBu8D,GAAG,KAAK,oBAAoB,EAAEv8D,EAAE,oBAAoBouD,GAAG,KAAK,mBAAmB,EAAEpuD,EAAE,oBAAoBouD,GAAG,KAAK,mBAAmB,EAAEpuD,CAAC,CAAC,EAAE89D,GAAG,UAAU,gBAAgB,IAAIC,GAAG,cAAcD,EAAE,CAAC,YAAY99D,EAAE,CAAC,MAAM,EAAEA,CAAC,CAAC,CAAC,EAAE+9D,GAAG,UAAU,kBAAkBpnC,GAAE,cAAconC,EAAE,EAAE,IAAIC,GAAG,cAAcP,EAAE,CAAC,YAAYz9D,EAAE,CAAC,MAAM,EAAEA,CAAC,EAAEg+D,GAAG,WAAWh+D,CAAC,EAAE,KAAK,UAAU,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAE,OAAO,OAAOA,EAAE,KAAK,OAAOA,EAAE,WAAWA,CAAC,CAAC,OAAO,WAAWA,EAAE,CAAC,GAAG,OAAOA,EAAE,YAAY,UAAU,CAACsmD,GAAGtmD,EAAE,WAAW,SAAS,EAAE,CAAC,EAAE,MAAM,IAAIklD,EAAE,yFAAyF,KAAK,UAAUllD,EAAE,UAAU,IAAI,CAAC,CAAC,EAAEg+D,GAAG,UAAU,SAASrnC,GAAE,cAAcqnC,EAAE,EAAE,IAAIC,GAAG,cAAc1R,EAAE,CAAC,YAAYvsD,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAOA,EAAE,UAAU,SAAS,KAAK,SAAS,CAAC,CAACA,EAAE,SAASA,EAAE,QAAQ,EAAE,CAACA,EAAE,SAASA,EAAE,QAAQ,CAAC,EAAE,OAAOA,EAAE,SAAS,IAAI,SAAS,KAAK,SAAS,CAAC,CAACA,EAAE,SAAS,GAAGA,EAAE,SAAS,EAAE,EAAE,CAACA,EAAE,SAAS,GAAGA,EAAE,SAAS,EAAE,CAAC,EAAE,KAAK,SAASA,EAAE,SAAS,KAAK,WAAWA,EAAE,aAAa,OAAO,eAAeA,EAAE,WAAW,KAAK,UAAU,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAAC,OAAO,KAAK,aAAa,gBAAgB,CAACA,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAG,KAAK,SAAS,GAAG,GAAG,KAAK,SAAS,GAAG,GAAGA,EAAE,GAAG,KAAK,SAAS,GAAG,GAAG,KAAK,SAAS,GAAG,EAAE,EAAE,CAACA,EAAE,GAAGA,EAAE,GAAG,KAAK,SAAS,GAAG,GAAG,KAAK,SAAS,GAAG,GAAGA,EAAE,GAAG,KAAK,SAAS,GAAG,GAAG,KAAK,SAAS,GAAG,GAAGA,EAAE,EAAE,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,GAAG3yB,EAAE0rD,GAAG1rD,CAAC,EAAE,KAAK,aAAa,eAAe,CAAC,IAAI,EAAEipD,GAAGjpD,EAAE,KAAK,SAAS,GAAG,GAAGA,EAAE,MAAM,GAAG,KAAK,SAAS,GAAG,GAAG,KAAK,SAAS,GAAG,GAAG,CAAC,EAAE,OAAOipD,GAAG,EAAE,KAAK,SAAS,GAAG,GAAGjpD,EAAE,MAAM,GAAG,KAAK,SAAS,GAAG,GAAG,KAAK,SAAS,GAAG,GAAG,CAAC,CAAC,KAAK,CAAC,IAAI,EAAEipD,GAAGjpD,EAAE,KAAK,SAAS,GAAG,GAAGA,EAAE,MAAM,GAAG,KAAK,SAAS,GAAG,GAAG,KAAK,SAAS,GAAG,GAAG,CAAC,EAAE,OAAOipD,GAAG,EAAE,KAAK,SAAS,GAAG,GAAGjpD,EAAE,MAAM,GAAG,KAAK,SAAS,GAAG,GAAG,KAAK,SAAS,GAAG,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,SAAS,KAAK,SAAS,WAAW,KAAK,UAAU,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEi+D,GAAG,UAAU,aAAatnC,GAAE,cAAcsnC,EAAE,EAAE,IAAIC,GAAG,cAAc3R,EAAE,CAAC,YAAYvsD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,aAAa,CAAC,EAAE,CAAC,EAAE,KAAK,UAAU,CAAC,CAAC,KAAK,CAAC,CAAC,EAAE,KAAK,KAAKA,EAAE,MAAM,KAAK,KAAK,aAAaA,EAAE,KAAK,KAAK,WAAWA,EAAE,YAAY,KAAK,eAAeA,EAAE,WAAWqnD,GAAG,KAAK,UAAU,EAAE,KAAK,cAAcrnD,EAAE,eAAe,KAAK,UAAUA,EAAE,cAAcsnD,GAAG,KAAK,aAAa,CAAC,CAAC,mBAAmBtnD,EAAE,CAAC,GAAG,KAAK,aAAa,gBAAgB,CAAC,IAAIZ,EAAEY,EAAE,IAAI,KAAK,KAAK,KAAK,KAAK,GAAGA,EAAE,GAAG,EAAEA,EAAE,IAAI,KAAK,KAAK,KAAK,KAAK,GAAGA,EAAE,GAAG,MAAM,CAACA,EAAE,GAAGA,EAAE,GAAGZ,EAAE,CAAC,CAAC,KAAK,CAAC,IAAIA,EAAEY,EAAE,IAAI,KAAK,KAAK,KAAK,KAAK,GAAGA,EAAE,GAAG,EAAEA,EAAE,IAAI,KAAK,KAAK,KAAK,KAAK,GAAGA,EAAE,GAAG,MAAM,CAACA,EAAE,GAAGZ,EAAE,EAAEY,EAAE,EAAE,CAAC,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,IAAI,EAAE+4B,GAAG1rD,CAAC,EAAEP,EAAE,EAAE,MAAM,GAAG,KAAK,aAAa,gBAAgB,CAAC,EAAEs0B,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,EAAE,IAAI9yB,EAAE,KAAK,KAAK,GAAGxB,EAAE,GAAGyB,EAAE,KAAK,KAAK,GAAGzB,EAAE,GAAG0B,EAAE,KAAK,gBAAgB,UAAUs3C,GAAG,sBAAsB,EAAE,CAACx3C,EAAEC,CAAC,CAAC,EAAEu3C,GAAG,eAAe,EAAE,CAACx3C,EAAEC,CAAC,CAAC,EAAE,OAAO6yB,GAAG5yB,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,CAAC,KAAK,CAAC,IAAIF,EAAE,KAAK,KAAK,GAAGxB,EAAE,GAAGyB,EAAE,KAAK,KAAK,GAAGzB,EAAE,GAAG,OAAO,KAAK,gBAAgB,UAAUg5C,GAAG,sBAAsB,EAAE,CAACx3C,EAAEC,CAAC,CAAC,EAAEu3C,GAAG,eAAe,EAAE,CAACx3C,EAAEC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIlB,EAAE,CAAC,KAAK,KAAK,KAAK,WAAW,KAAK,WAAW,cAAc,KAAK,aAAa,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEk+D,GAAG,UAAU,eAAevnC,GAAE,cAAcunC,EAAE,EAAE,SAASC,GAAGj/D,EAAE,EAAEE,EAAE,CAAC,EAAE,CAAC,EAAEI,EAAE,QAAQC,EAAE,EAAE,CAAC,OAAOkzB,EAAE,IAAI,CAAClzB,GAAG,OAAOA,EAAE+oD,GAAG,GAAGnB,GAAG5nD,CAAC,EAAE,IAAI,EAAE09D,GAAGj+D,EAAEO,CAAC,EAAE,GAAGP,EAAE,OAAO,EAAE,MAAM,IAAIgmD,EAAE,mEAAmEhmD,EAAE,QAAQ,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAIgmD,EAAE,yDAAyD,EAAE,QAAQ,EAAE,OAAO,EAAEtlB,GAAG,EAAE,EAAExgC,EAAEI,IAAI,OAAO,OAAO,QAAQ,OAAO,CAAC,EAAEC,IAAI,kBAAkB,EAAEs0B,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,IAAIqqC,GAAG,cAAcZ,EAAE,CAAC,YAAYx9D,EAAE,CAAC,MAAM,EAAEA,CAAC,EAAE,KAAK,gBAAgB,KAAK,KAAK,gBAAgBA,EAAE,iBAAiB,KAAK,EAAEA,EAAE,gBAAgB,KAAK,qBAAqBurD,GAAGvrD,EAAE,sBAAsB,KAAK,0BAA0B,EAAE,KAAK,oBAAoBsuD,GAAGtuD,EAAE,mBAAmB,EAAE,KAAK,qBAAqBy8D,GAAGz8D,EAAE,oBAAoB,CAAC,CAAC,MAAMA,EAAE,CAAC,GAAGA,EAAE2rD,GAAG3rD,CAAC,EAAEA,EAAE,OAAO,EAAE,MAAM,IAAIklD,EAAE,uEAAuE,KAAK,UAAUllD,CAAC,IAAI,EAAE,IAAIZ,EAAE,KAAK,aAAa,gBAAgB,EAAE,EAAE,GAAGY,EAAEZ,IAAI,MAAMY,EAAEZ,GAAG,EAAE,MAAM,IAAI8lD,EAAE,yFAAyFllD,EAAEZ,MAAM,EAAE,IAAI,EAAEY,EAAEZ,GAAGK,EAAE,CAAC,KAAK,WAAW,GAAG,KAAK,WAAW,GAAG,EAAE,KAAK,eAAe,EAAE,KAAK,gBAAgB,KAAK,UAAU,mBAAmBA,EAAE,KAAK,KAAK,qBAAqB,KAAK,qBAAqB,GAAG,KAAK,mBAAmB,EAAE,KAAK,QAAQ,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,EAAE,KAAK,eAAe,EAAE,KAAK,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,EAAE,KAAK,KAAK,KAAK,KAAK,MAAM,EAAE,CAAC,KAAKO,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC3yB,EAAE0rD,GAAG1rD,CAAC,EAAE,IAAI,EAAEm+D,GAAGn+D,EAAE,KAAK,gBAAgB,KAAK,EAAE,KAAK,QAAQ,KAAK,QAAQ,KAAK,WAAW,IAAI,EAAE,OAAO,KAAK,UAAU,EAAEypD,GAAG,EAAE,KAAK,KAAK,KAAK,EAAE,KAAK,UAAU,GAAG,KAAK,YAAY,OAAO,EAAE,KAAK,WAAW,MAAM,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,mBAAmBzpD,EAAE,CAACA,EAAE2rD,GAAG3rD,CAAC,EAAE,IAAIZ,EAAE,KAAK,aAAa,gBAAgBY,EAAE,GAAGA,EAAE,GAAG,EAAE,KAAK,aAAa,gBAAgBA,EAAE,GAAGA,EAAE,GAAGP,EAAE,KAAK,aAAa,gBAAgBO,EAAE,GAAG,KAAK,gBAAgBA,EAAE,GAAG,KAAK,gBAAgBiB,EAAEg8D,GAAG79D,EAAE,KAAK,WAAW,GAAG,KAAK,QAAQ,KAAK,QAAQ,EAAE,EAAE8B,EAAE+7D,GAAG,EAAE,KAAK,WAAW,GAAG,KAAK,QAAQ,KAAK,QAAQ,EAAE,EAAE,OAAO,KAAK,aAAa,gBAAgB,CAACj9D,EAAE,GAAGP,EAAEwB,EAAEC,CAAC,EAAE,CAAClB,EAAE,GAAGiB,EAAEC,EAAEzB,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIO,EAAE,MAAM,UAAU,EAAE,OAAOA,EAAE,gBAAgB,KAAK,gBAAgBA,EAAE,qBAAqBsrD,GAAG,KAAK,oBAAoB,EAAEtrD,EAAE,qBAAqBu8D,GAAG,KAAK,oBAAoB,EAAEv8D,EAAE,oBAAoBouD,GAAG,KAAK,oBAAoB,EAAEpuD,CAAC,CAAC,EAAEo+D,GAAG,UAAU,kBAAkBznC,GAAE,cAAcynC,EAAE,EAAE,SAASC,GAAGn/D,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAG,MAAM,QAAQN,CAAC,EAAE,CAAC,GAAG,GAAG,MAAME,GAAG,KAAK,MAAM,IAAI8lD,EAAE,+EAA+E,EAAE1lD,GAAG,OAAOJ,EAAEF,EAAE,MAAMA,EAAE,OAAOM,EAAEN,EAAE,MAAM,EAAEA,EAAEA,EAAE,MAAM,EAAEA,EAAE,OAAOM,CAAC,GAAGN,EAAE,OAAO,IAAI,EAAEA,EAAE,MAAM,EAAEA,EAAE,MAAM,GAAGA,EAAEA,EAAE,EAAE,CAAC,SAASO,EAAE,EAAE,CAAC,OAAO,GAAG,MAAM,MAAM,QAAQ,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,OAAO,EAAEA,EAAE,CAAC,EAAEL,EAAEK,EAAEL,CAAC,EAAE,CAAC,OAAOF,EAAE,aAAa,EAAE,UAAUE,CAAC,CAAC,CAAC,SAASk/D,GAAGp/D,EAAE,EAAEE,EAAEI,EAAE,GAAGC,EAAE,EAAE,EAAE,GAAG0B,EAAE,GAAG,CAAC,OAAOwxB,EAAE,IAAI,CAAC,IAAIvxB,EAAE,EAAE,MAAM,OAAO,GAAGA,EAAE,EAAE,MAAM,IAAI8jD,EAAE,uCAAuC9jD,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAE,CAAC,EAAE,OAAOgnD,GAAG,EAAEjnD,CAAC,CAAC,EAAE,GAAG,EAAE2yB,GAAG,EAAE1yB,CAAC,EAAE,GAAG,KAAK,MAAM,IAAI8jD,GAAG,gFAAgF,EAAE,GAAG,QAAQ,KAAK,mGAAmG,EAAE1lD,GAAG,OAAOA,EAAEkwB,GAAEA,GAAElwB,EAAE,MAAM,EAAE,SAAS,EAAEA,EAAE,OAAO2B,EAAE,IAAI3B,EAAEqjC,GAAGrjC,EAAE,EAAE,GAAGA,EAAEs0B,GAAGt0B,EAAE4B,CAAC,GAAG7B,IAAI,EAAEosC,GAAG,EAAE,CAAC,EAAEnsC,GAAG,OAAOA,EAAEmsC,GAAGnsC,EAAE,CAAC,IAAI,IAAIqC,EAAE,CAAC,EAAEC,EAAEC,EAAE5C,EAAE6C,EAAE,EAAE,MAAM,GAAGC,EAAEiuC,GAAG,CAAC,EAAE/sC,EAAE3D,GAAG,OAAO2D,EAAE+sC,GAAG1wC,CAAC,GAAG,QAAQgH,EAAE,EAAEA,EAAExE,EAAE,EAAEwE,EAAE,CAAC,IAAIxC,EAAE/B,EAAEuE,GAAG5C,EAAE8uB,EAAE,IAAIzzB,EAAE+E,EAAEjC,CAAC,CAAC,EAAE,GAAGvC,GAAG,KAAKsC,EAAE8B,EAAE,GAAG7B,EAAE6B,EAAE,OAAO,CAAC,IAAIC,EAAE6uB,EAAE,IAAI,CAAC,IAAI5uB,EAAEX,EAAEqD,GAAGzC,EAAE4hC,GAAG6C,GAAG1kC,CAAC,EAAEA,CAAC,EAAE2C,EAAEsxB,EAAEM,EAAEz0B,EAAE,GAAGE,CAAC,EAAEu0B,EAAEt2B,EAAE,GAAGgC,CAAC,CAAC,EAAEE,EAAElC,EAAE,IAAI,CAAC2E,EAAExC,IAAI6zB,EAAEM,EAAEz0B,EAAE,GAAGM,GAAGJ,CAAC,EAAEu0B,EAAE3xB,EAAE3C,CAAC,CAAC,CAAC,EAAE,MAAM,CAAC,OAAO0C,EAAE,UAAUxC,CAAC,CAAC,CAAC,EAAEnC,EAAE+B,EAAE,OAAO9B,EAAE8B,EAAE,SAAS,CAAC3C,GAAGW,EAAE,KAAKC,CAAC,CAAC,CAAC,IAAI,EAAE,OAAOZ,IAAI,EAAE2tC,GAAGhtC,EAAE,CAAC,GAAG,CAACC,EAAE,EAAEC,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIwtD,GAAG,cAAcjD,EAAE,CAAC,YAAYvsD,EAAE,CAAC,MAAMA,CAAC,EAAE,IAAIZ,EAAE,GAAGY,EAAE,MAAM,KAAK,MAAM,IAAIklD,EAAE,sDAAsD,EAAE,GAAG,MAAM,QAAQllD,EAAE,IAAI,EAAEZ,EAAE,IAAIm/D,GAAG,CAAC,MAAMv+D,EAAE,IAAI,CAAC,EAAEZ,EAAEY,EAAE,KAAKZ,EAAE,WAAW,KAAK,MAAM,IAAI8lD,EAAE,mGAAmG,EAAE,KAAK,KAAK9lD,EAAE,KAAK,gBAAgBY,EAAE,iBAAiB,KAAK,GAAGA,EAAE,gBAAgB,KAAK,YAAYA,EAAE,aAAa,KAAK,GAAGA,EAAE,YAAY,KAAK,YAAYA,EAAE,aAAa,KAAK,GAAGA,EAAE,YAAY,KAAK,UAAUA,EAAE,UAAU,KAAK,GAAGA,EAAE,SAAS,KAAK,OAAOA,EAAE,QAAQ,KAAK,GAAGA,EAAE,OAAO,KAAK,gBAAgB,GAAG,KAAK,UAAU,CAAC,IAAIksD,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,KAAK,UAAU,KAAK,KAAK,QAAQ,KAAK,KAAK,aAAa,KAAK,KAAK,WAAW,CAAC,CAAC,CAAC,WAAW,CAAC,GAAG,KAAK,SAAS,KAAK,CAAC,IAAIlsD,EAAE,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,KAAK,UAAU,OAAO,EAAE,OAAOqoD,GAAG,EAAEroD,CAAC,EAAE,IAAIZ,GAAG,IAAI,CAAC,KAAM,QAAO,KAAK,OAAO,CAAC,UAAUY,EAAE,CAAC,KAAK,QAAQA,CAAC,CAAC,mBAAmBA,EAAE,CAACwrD,GAAGxrD,CAAC,IAAIA,EAAEA,EAAE,IAAIA,EAAEA,EAAE,IAAIZ,EAAE,KAAK,KAAK,UAAU,MAAM,QAAQA,CAAC,IAAIA,EAAE,CAACA,CAAC,GAAG,IAAI,EAAEA,EAAE,GAAGK,EAAE,GAAG,KAAK,gBAAgBA,EAAE,CAACO,EAAE,GAAGA,EAAE,GAAG,CAAC,EAAEP,EAAE,CAACO,EAAE,GAAG,CAAC,EAAE,KAAK,YAAY,CAAC,IAAIiB,EAAE,CAAC,EAAE,QAAQC,KAAK9B,EAAE6B,EAAE,KAAK,CAACjB,EAAE,GAAGkB,CAAC,CAAC,EAAE,MAAM,CAACzB,CAAC,EAAE,OAAOwB,CAAC,CAAC,KAAM,QAAOxB,CAAC,CAAC,YAAYO,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,MAAM,QAAQvzB,CAAC,IAAIA,EAAEA,EAAE,IAAI,IAAI,EAAE,KAAK,gBAAgBA,EAAE,KAAK,GAAG,KAAK,YAAY,CAAC,IAAIK,EAAE,KAAK,OAAO,IAAIwB,GAAG,IAAI,EAAE,MAAM,CAAC,CAAC,EAAE,OAAOxB,CAAC,CAAC,KAAM,QAAO,CAAC,CAAC,CAAC,CAAC,IAAI,QAAQ,CAAC,GAAG,KAAK,SAAS,KAAK,CAAC,IAAIO,EAAE,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,KAAK,UAAU,OAAO,EAAEZ,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEY,EAAE,EAAE,EAAEZ,EAAE,KAAK,IAAI,EAAE,OAAOA,CAAC,KAAM,QAAO,KAAK,OAAO,CAAC,IAAI,OAAOY,EAAE,CAAC,KAAK,QAAQA,CAAC,CAAC,MAAMA,EAAE,CAAC,GAAG,KAAK,cAAc,KAAK,MAAM,IAAImlD,GAAG,kDAAkD,EAAEqG,GAAGxrD,CAAC,IAAIA,EAAEA,EAAE,IAAIA,EAAEA,EAAE,IAAIR,EAAE,KAAK,SAASQ,EAAE,GAAG,KAAKP,EAAEO,EAAE,MAAM,CAAC,EAAE,KAAK,UAAU,GAAG,IAAIksD,GAAG,CAAC,MAAM,CAAC1sD,EAAE,KAAK,GAAGC,CAAC,CAAC,CAAC,EAAE,IAAIwB,EAAE,CAACjB,EAAE,EAAE,EAAE,OAAOA,EAAE,MAAM,CAAC,CAAC,EAAE,KAAK,KAAK,MAAMiB,CAAC,EAAE,IAAIC,EAAE,GAAG,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAEA,EAAE,KAAK,KAAK,UAAUA,EAAE,CAAC,KAAK,KAAK,SAAS,EAAE,KAAK,WAAW,MAAM,GAAG,CAAC8kB,EAAE,YAAY,KAAK,UAAU,IAAI7kB,GAAGA,EAAE,MAAMA,EAAE,MAAM,OAAO,EAAE,EAAED,CAAC,EAAE,MAAM,IAAIgkD,EAAE,6FAA6F,KAAK,wCAAwC,KAAK,KAAK,WAAW,OAAO,KAAK,UAAUhkD,EAAE,IAAIC,GAAG,IAAI+qD,GAAG,CAAC,MAAM,CAAC,KAAK/qD,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,UAAU,KAAK,YAAY,CAAC,CAAC,YAAYnB,EAAEZ,EAAE,GAAG,CAACuzB,EAAE,IAAI,CAAC,GAAG,CAAC,KAAK,SAAS,MAAM,IAAIqyB,GAAG,iEAAiE,EAAE,IAAI,EAAE,KAAK,UAAU,GAAG,MAAM,GAAG,GAAG,GAAG,KAAK,MAAM,IAAIE,EAAE,uUAAuU,EAAE,GAAG,KAAK,SAAS,KAAK,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,QAAQ,KAAK,KAAK,UAAU,IAAIzlD,GAAG8nC,GAAG,CAAC,EAAE9nC,CAAC,CAAC,CAAC,EAAE,KAAK,QAAQ,CAAC8nC,GAAG,CAAC,EAAE,KAAK,KAAK,SAAS,CAAC,CAAC,UAAUvnC,GAAG,KAAK4yB,GAAG,KAAK,OAAO,EAAE,KAAK,YAAY,OAAOA,GAAG,KAAK,UAAU,EAAE,KAAK,WAAW,CAAC,GAAG,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,QAAQ,KAAK,KAAK,UAAU,IAAInzB,GAAG8nC,GAAG,CAAC,EAAE9nC,CAAC,CAAC,CAAC,EAAE,KAAK,QAAQ,GAAG8nC,GAAG,CAAC,EAAE,KAAK,KAAK,SAAS,CAAC,MAAM,CAAC,GAAG,MAAM,QAAQvnC,CAAC,IAAIA,EAAE,CAACA,CAAC,GAAGA,EAAE,SAAS,KAAK,QAAQ,OAAO,MAAM,IAAIklD,EAAE,SAAS,KAAK,gBAAgB,KAAK,QAAQ,oCAAoCllD,EAAE,0CAA0CA,GAAG,EAAEZ,IAAI,GAAG,KAAK,WAAW,KAAK,KAAK,QAAQ,MAAM,CAAC,EAAEwzB,GAAG,KAAK,OAAO,EAAE,QAAQnzB,EAAE,EAAEA,EAAE,KAAK,QAAQ,OAAO,EAAEA,EAAE,CAAC,IAAIwB,EAAEjB,EAAEP,GAAGyB,EAAE,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,KAAK,UAAUzB,GAAG,KAAK,KAAK,UAAU0B,EAAE,CAAC,EAAED,CAAC,EAAE,GAAG,CAAC8kB,EAAE,YAAY/kB,EAAE,MAAME,CAAC,EAAE,MAAM,IAAI+jD,EAAE,SAASzlD,gCAAgC,KAAK,wBAAwB0B,qBAAqBF,EAAE,OAAO,EAAE,KAAK,QAAQxB,GAAGwB,CAAC,CAAC,CAAC,KAAK,QAAQ,KAAK,QAAQ,IAAIxB,GAAGozB,GAAGpzB,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,MAAMO,EAAEZ,EAAE,CAAC,IAAI,EAAEA,GAAG,KAAK,KAAKA,EAAE,aAAaK,EAAEL,GAAG,KAAK,KAAKA,EAAE,UAAUA,GAAG,OAAOA,EAAE,CAAC,GAAG,IAAI6B,EAAEo9D,GAAGr+D,EAAE,EAAEP,EAAE,KAAK,YAAY,EAAEO,EAAEiB,EAAE,OAAO,EAAEA,EAAE,aAAaxB,EAAEwB,EAAE,UAAU,IAAIC,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,GAAG,GAAG,KAAK,CAAC/B,EAAE,aAAa,EAAE8B,EAAEA,EAAE,OAAO,CAAC,EAAE,KAAK,UAAU,CAAC,EAAE,QAAQG,KAAK,EAAE,KAAK,UAAU,KAAK,IAAI6qD,GAAG,CAAC,MAAM7qD,EAAE,KAAK,CAAC,CAAC,EAAEF,EAAEA,EAAE,OAAO,KAAK,SAAS,CAAC,CAAC,GAAG1B,GAAG,OAAOL,EAAE,UAAUK,EAAEyB,EAAEA,EAAE,OAAOzB,CAAC,EAAE,KAAK,aAAaA,EAAE,QAAQyB,EAAE,aAAairD,GAAG,CAAC,IAAI9qD,EAAE,CAACrB,CAAC,EAAE,OAAOkB,CAAC,EAAEY,EAAE,KAAK,UAAU,OAAOX,CAAC,EAAEY,EAAE,KAAK,UAAU,KAAK,UAAUD,EAAE,IAAIE,EAAE,MAAM,MAAMX,EAAEjC,CAAC,EAAE,OAAO,KAAK,UAAU2C,EAAEC,CAAC,KAAM,QAAO,MAAM,MAAMhC,EAAEZ,CAAC,CAAC,CAAC,KAAKY,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,IAAI,EAAEvzB,GAAG,KAAK,KAAKA,EAAE,KAAKK,EAAEL,GAAG,KAAK,KAAKA,EAAE,SAAS6B,EAAE7B,GAAG,KAAK,KAAKA,EAAE,aAAaY,EAAE0rD,GAAG1rD,CAAC,EAAEiB,GAAG,OAAO,KAAK,SAASA,EAAE,KAAK,QAAQA,EAAE,KAAK,gBAAgBjB,CAAC,GAAG,IAAIkB,EAAE,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,KAAK,UAAU,OAAO,EAAE,GAAGD,EAAE,SAASC,EAAE,MAAM,IAAIgkD,EAAE,iBAAiBhkD,6BAA6BD,EAAE,0BAA0B,EAAE,KAAK,QAAQ,QAAQ,KAAK,kEAAkE,EAAE,IAAIE,EAAE,CAAC,SAAS1B,CAAC,EAAE4B,EAAEi9D,GAAG,CAACp8D,EAAE,IAAI,CAAC,IAAImB,EAAE,KAAK,KAAK,KAAK,CAACnB,CAAC,EAAE,OAAO,CAAC,EAAEf,CAAC,EAAE,MAAM,CAACkC,EAAE,GAAGA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAErD,EAAEiB,EAAE,KAAK,YAAY,EAAE,KAAK,KAAK,OAAO,KAAK,eAAe,EAAEa,EAAET,EAAE,GAAGU,EAAEV,EAAE,GAAGW,EAAEX,EAAE,GAAG,KAAK,UAAU,KAAK,YAAYW,EAAEvC,CAAC,EAAE,IAAIwC,EAAE,KAAK,gBAAgBF,EAAED,EAAE,OAAO,KAAK,YAAY,CAACG,CAAC,EAAE,OAAOD,CAAC,EAAEC,CAAC,CAAC,CAAC,CAAC,gBAAgBjC,EAAE,CAAC,OAAO2yB,EAAE,IAAI,CAAC,IAAIvzB,EAAEmoC,GAAGvnC,EAAE,KAAK,EAAE,OAAOZ,EAAEijC,GAAGjjC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEA,EAAEspD,GAAGtpD,CAAC,EAAE,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,KAAK,UAAU,IAAI,GAAG,EAAE,EAAEwpD,GAAGxpD,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEA,CAAC,EAAE,KAAK,KAAK,UAAU,EAAE,CAACwpD,GAAGxpD,EAAE,CAAC,EAAE,KAAK,KAAK,SAAS,CAAC,CAAC,EAAE,CAACA,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI,kBAAkB,CAAC,OAAO,KAAK,UAAU,KAAK,KAAK,iBAAiB,CAAC,CAAC,CAAC,IAAI,qBAAqB,CAAC,OAAO,KAAK,UAAU,KAAK,KAAK,oBAAoB,KAAK,KAAK,OAAO,CAAC,6BAA6BY,EAAE,CAAC,MAAM,6BAA6BA,CAAC,EAAE,KAAK,MAAM,MAAM,KAAK,KAAK,6BAA6BA,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAEZ,EAAE,CAAC,gBAAgB,KAAK,gBAAgB,YAAY,KAAK,YAAY,YAAY,KAAK,YAAY,SAAS,KAAK,SAAS,OAAO,KAAK,MAAM,EAAE,KAAK,cAAc,OAAOA,EAAE,aAAa,KAAK,cAAc,IAAI,EAAE,KAAK,KAAK,UAAU,EAAE,OAAO,KAAK,aAAa,IAAIowD,GAAG,YAAYpwD,EAAE,KAAK,CAAC,UAAU,KAAK,KAAK,aAAa,EAAE,OAAO,CAAC,GAAG,OAAO,OAAO,OAAO,OAAO,OAAO,OAAO,CAAC,EAAE,CAAC,EAAEY,CAAC,EAAEZ,CAAC,CAAC,CAAC,OAAO,WAAWY,EAAEZ,EAAE,EAAE,CAAC,EAAE,CAAC,IAAIK,EAAEL,EAAE,KAAK6B,EAAEg0D,GAAGx1D,EAAE,CAAC,EAAE,OAAO,IAAIO,EAAE,OAAO,OAAOZ,EAAE,CAAC,KAAK6B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEuuD,GAAG,UAAU,MAAM74B,GAAE,cAAc64B,EAAE,EAAE,IAAIC,GAAG,cAAclD,EAAE,CAAC,EAAEiS,GAAG,cAAc/O,EAAE,CAAC,YAAYzvD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,mBAAmB,OAAO,KAAK,2BAA2B,eAAe,KAAK,8BAA8B,aAAa,KAAK,yBAAyB,QAAQ,KAAK,MAAMA,EAAE,MAAMumD,GAAG,KAAK,MAAM,OAAO,EAAE,KAAK,WAAWyV,GAAGh8D,EAAE,YAAY,KAAK,KAAK,mBAAmBA,EAAE,UAAU,EAAE,KAAK,QAAQA,EAAE,SAAS,KAAK,GAAGA,EAAE,QAAQ,KAAK,kBAAkBurD,GAAGvrD,EAAE,mBAAmB,KAAK,0BAA0B,EAAE,KAAK,qBAAqBurD,GAAGvrD,EAAE,sBAAsB,KAAK,6BAA6B,EAAE,KAAK,gBAAgBurD,GAAGvrD,EAAE,iBAAiB,KAAK,wBAAwB,EAAE,KAAK,kBAAkBy8D,GAAGz8D,EAAE,iBAAiB,EAAE,KAAK,qBAAqBy8D,GAAGz8D,EAAE,oBAAoB,EAAE,KAAK,gBAAgBy8D,GAAGz8D,EAAE,eAAe,EAAE,KAAK,iBAAiBsuD,GAAGtuD,EAAE,gBAAgB,EAAE,KAAK,oBAAoBsuD,GAAGtuD,EAAE,mBAAmB,EAAE,KAAK,eAAesuD,GAAGtuD,EAAE,cAAc,EAAE,KAAK,QAAQmoD,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAEpoD,EAAE,SAAS,KAAK,EAAEA,EAAE,OAAO,CAAC,CAAC,CAAC,EAAE,KAAK,iBAAiBmoD,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAEpoD,EAAE,kBAAkB,KAAK,EAAEA,EAAE,gBAAgB,CAAC,CAAC,CAAC,EAAE,KAAK,YAAYA,EAAE,YAAY,KAAK,UAAU,KAAK,MAAM,KAAK,YAAY,KAAK,KAAK,qBAAqB,IAAI,CAAC,MAAMA,EAAE,CAACA,EAAE2rD,GAAG3rD,CAAC,EAAE,KAAK,OAAO,KAAK,UAAU,SAAS,CAACA,EAAEA,EAAE,OAAO,GAAG,KAAK,KAAK,EAAE,KAAK,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,KAAK,gBAAgB,KAAK,UAAU,mBAAmB,CAAC,KAAK,MAAM,KAAK,KAAK,EAAE,KAAK,KAAK,qBAAqB,KAAK,qBAAqB,GAAG,KAAK,mBAAmB,EAAE,KAAK,QAAQ,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,KAAK,EAAE,KAAK,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,EAAE,KAAK,KAAK,KAAK,KAAK,MAAM,EAAE,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,GAAG3yB,EAAEA,EAAEA,EAAE,SAAS,EAAE,MAAM,IAAIklD,EAAE,8CAA8CllD,EAAE,SAAS,EAAE,IAAI,EAAEA,EAAE,GAAGA,EAAEA,EAAE,GAAG,IAAIP,EAAEL,EAAE,UAAU,KAAK,GAAGA,EAAE,SAAS,EAAE,KAAK,SAAS,KAAK,QAAQ,GAAG,KAAK,aAAa,OAAO,KAAK,YAAYq/D,GAAG,CAAC,KAAK,IAAIh2B,GAAGzoC,CAAC,EAAE,KAAK,KAAK,QAAQ,SAASP,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,EAAE,KAAK,kBAAkB,KAAK,iBAAiB,GAAG,KAAK,sBAAsB,OAAO,KAAK,qBAAqBg/D,GAAG,CAAC,KAAK,IAAIh2B,GAAG,CAAC,EAAE,KAAK,KAAK,iBAAiB,SAAShpC,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,IAAIwB,EAAEC,EAAE,KAAK,YAAYC,EAAE,KAAK,qBAAqBD,GAAG,KAAKD,EAAEooD,GAAG/wB,EAAEt4B,EAAEkB,CAAC,EAAE,KAAK,OAAO,KAAK,CAAC,EAAED,EAAEooD,GAAGrpD,EAAE,KAAK,OAAO,KAAK,CAAC,EAAE,KAAK,MAAM,OAAOiB,EAAEwoD,GAAGxoD,EAAE,KAAK,KAAK,KAAK,CAAC,GAAGE,GAAG,OAAO,EAAEm3B,EAAE,EAAEn3B,CAAC,GAAG,IAAIC,EAAE42B,EAAE/2B,EAAEooD,GAAG,EAAE,KAAK,gBAAgB,KAAK,CAAC,CAAC,EAAE,OAAO,KAAK,YAAY,OAAOjoD,EAAE,KAAK,WAAW,MAAMA,CAAC,GAAG,CAACA,EAAEA,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIpB,EAAE,MAAM,UAAU,EAAEZ,EAAE,CAAC,MAAM,KAAK,MAAM,WAAW08D,GAAG,KAAK,UAAU,EAAE,QAAQ,KAAK,QAAQ,kBAAkBxQ,GAAG,KAAK,iBAAiB,EAAE,qBAAqBA,GAAG,KAAK,oBAAoB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,kBAAkBiR,GAAG,KAAK,iBAAiB,EAAE,qBAAqBA,GAAG,KAAK,oBAAoB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,iBAAiBnO,GAAG,KAAK,gBAAgB,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,eAAeA,GAAG,KAAK,cAAc,EAAE,QAAQ,KAAK,QAAQ,iBAAiB,KAAK,gBAAgB,EAAE,OAAO,OAAO,OAAO,OAAO,OAAO,CAAC,EAAEpuD,CAAC,EAAEZ,CAAC,CAAC,CAAC,EAAEo/D,GAAG,UAAU,gBAAgB7nC,GAAE,cAAc6nC,EAAE,EAAE,IAAIE,GAAG,cAAclP,EAAE,CAAC,YAAYxvD,EAAE,CAACA,EAAE,KAAK,IAAIw+D,GAAGx+D,CAAC,EAAE,MAAMA,CAAC,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,KAAK,KAAK,aAAa,OAAOC,GAAG,KAAK,KAAK,WAAW,EAAE,KAAK,KAAK,YAAY,MAAM,KAAK,KAAK,sBAAsB,OAAOA,GAAG,KAAK,KAAK,oBAAoB,EAAE,KAAK,KAAK,qBAAqB,MAAM,IAAI,EAAExzB,GAAG,KAAK,KAAKA,EAAE,KAAKK,EAAEL,GAAG,KAAK,KAAKA,EAAE,SAAS6B,EAAE7B,GAAG,KAAK,KAAKA,EAAE,aAAa,OAAO,MAAM,KAAKY,EAAE,CAAC,KAAK,EAAE,SAASP,EAAE,aAAawB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO,WAAWjB,EAAEZ,EAAE,CAAC,OAAO,IAAIY,EAAEZ,CAAC,CAAC,CAAC,EAAEs/D,GAAG,UAAU,YAAY/nC,GAAE,cAAc+nC,EAAE,EAAE,IAAIC,GAAG,cAAclP,EAAE,CAAC,YAAYzvD,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,mBAAmB,OAAO,KAAK,6BAA6B,cAAc,KAAK,2BAA2B,eAAe,KAAK,8BAA8B,aAAa,KAAK,yBAAyB,QAAQA,EAAE,WAAW,MAAM,IAAIklD,EAAE,6DAA6D,EAAE,KAAK,MAAMllD,EAAE,MAAMumD,GAAG,KAAK,MAAM,OAAO,EAAE,KAAK,WAAWyV,GAAGh8D,EAAE,aAAa,OAAO,KAAK,mBAAmBA,EAAE,UAAU,EAAE,KAAK,oBAAoBg8D,GAAGh8D,EAAE,sBAAsB,OAAO,KAAK,6BAA6BA,EAAE,mBAAmB,EAAE,KAAK,QAAQA,EAAE,SAAS,KAAK,GAAGA,EAAE,QAAQ,KAAK,kBAAkBurD,GAAGvrD,EAAE,mBAAmB,KAAK,0BAA0B,EAAE,KAAK,qBAAqBurD,GAAGvrD,EAAE,sBAAsB,KAAK,6BAA6B,EAAE,KAAK,gBAAgBurD,GAAGvrD,EAAE,iBAAiB,KAAK,wBAAwB,EAAE,KAAK,kBAAkBy8D,GAAGz8D,EAAE,iBAAiB,EAAE,KAAK,qBAAqBy8D,GAAGz8D,EAAE,oBAAoB,EAAE,KAAK,gBAAgBy8D,GAAGz8D,EAAE,eAAe,EAAE,KAAK,iBAAiBsuD,GAAGtuD,EAAE,gBAAgB,EAAE,KAAK,oBAAoBsuD,GAAGtuD,EAAE,mBAAmB,EAAE,KAAK,eAAesuD,GAAGtuD,EAAE,cAAc,EAAE,KAAK,QAAQmoD,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAEpoD,EAAE,SAAS,KAAK,EAAEA,EAAE,OAAO,CAAC,CAAC,CAAC,EAAE,KAAK,iBAAiBmoD,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAEpoD,EAAE,kBAAkB,KAAK,EAAEA,EAAE,gBAAgB,CAAC,CAAC,CAAC,EAAE,KAAK,YAAYA,EAAE,YAAY,KAAK,eAAeA,EAAE,eAAe,KAAK,UAAU,KAAK,MAAM,KAAK,YAAY,KAAK,KAAK,qBAAqB,IAAI,CAAC,MAAMA,EAAE,CAACA,EAAE2rD,GAAG3rD,CAAC,EAAE,IAAIZ,EAAEY,EAAEA,EAAE,OAAO,GAAG,KAAK,OAAO,KAAK,UAAU,SAAS,CAACZ,EAAE,KAAK,MAAM,CAAC,EAAE,KAAK,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,KAAK,gBAAgB,KAAK,UAAU,mBAAmB,CAAC,KAAK,MAAM,KAAK,MAAM,CAAC,EAAE,KAAK,KAAK,qBAAqB,KAAK,qBAAqB,GAAG,KAAK,mBAAmB,EAAE,KAAK,QAAQ,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,MAAM,CAAC,EAAE,KAAK,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,EAAE,KAAK,KAAK,KAAK,KAAK,MAAM,EAAE,CAAC,KAAKY,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,GAAG3yB,EAAEA,EAAEA,EAAE,SAAS,EAAE,MAAM,IAAIklD,EAAE,uDAAuDllD,EAAE,SAAS,EAAE,IAAI,EAAEZ,EAAE,UAAU,KAAK,GAAGA,EAAE,SAASK,EAAEO,EAAE,GAAGA,EAAEA,EAAE,GAAG,EAAE,KAAK,SAAS,KAAK,QAAQ,GAAG,KAAK,aAAa,OAAO,KAAK,YAAYy+D,GAAG,CAAC,KAAK,IAAIh2B,GAAGzoC,CAAC,EAAE,KAAK,KAAK,QAAQ,SAAS,EAAE,MAAM,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,EAAE,KAAK,kBAAkB,KAAK,iBAAiB,GAAG,KAAK,sBAAsB,OAAO,KAAK,qBAAqBy+D,GAAG,CAAC,KAAK,IAAIh2B,GAAGhpC,CAAC,EAAE,KAAK,KAAK,iBAAiB,SAAS,EAAE,MAAM,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,IAAIwB,EAAE,KAAK,YAAYC,EAAE,KAAK,qBAAqBC,EAAEC,EAAE,EAAE,EAAE,KAAK,SAAS,KAAK,QAAQ,IAAIpB,EAAEs4B,EAAEt4B,EAAEiB,EAAE,EAAE,GAAG,IAAIa,EAAEunD,GAAGrpD,EAAE,KAAK,OAAO,KAAK,CAAC,EAAE,KAAK,UAAU8B,EAAE2nD,GAAG3nD,EAAE,KAAK,KAAK,KAAK,CAAC,GAAG,EAAE,KAAK,kBAAkB,KAAK,iBAAiB,IAAIrC,EAAE64B,EAAE74B,EAAEyB,EAAE,EAAE,GAAG,IAAI,EAAE,KAAK,gBAAgB,KAAK,EAAE,CAACc,EAAEC,CAAC,EAAEqsC,GAAG,EAAE,CAAC,EAAE,KAAK,MAAM,KAAK,KAAK,EAAE,EAAE,KAAK,CAAC,EAAEpsC,EAAEmnD,GAAG5pD,EAAEuC,CAAC,EAAE,CAACoB,EAAEC,EAAEoD,CAAC,EAAE6nC,GAAGxsC,EAAE,EAAEA,EAAE,KAAK,CAAC,EAAE,CAAC,EAAE+B,CAAC,EAAEyqC,GAAGpsC,EAAE,EAAEA,EAAE,KAAK,CAAC,EAAEf,EAAE,KAAK,oBAAoB,MAAM62B,EAAE50B,EAAE,CAAC,CAAC,EAAEhC,EAAE,KAAK,oBAAoB,MAAM42B,EAAE30B,EAAEQ,CAAC,CAAC,EAAE,IAAIC,EAAEulD,GAAG/wB,EAAEl3B,EAAE3B,CAAC,EAAEwC,CAAC,EAAE,EAAE,KAAK,WAAW,MAAM+1B,EAAEvxB,EAAE3C,CAAC,CAAC,EAAE,IAAIC,EAAEi0B,EAAEM,EAAEn3B,EAAE1B,CAAC,EAAE64B,EAAEN,EAAE,EAAErE,GAAGxyB,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,MAAM,CAAC4C,EAAEA,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAI/D,EAAE,MAAM,UAAU,EAAEZ,EAAE,CAAC,MAAM,KAAK,MAAM,WAAW08D,GAAG,KAAK,UAAU,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,QAAQ,KAAK,QAAQ,kBAAkBxQ,GAAG,KAAK,iBAAiB,EAAE,qBAAqBA,GAAG,KAAK,oBAAoB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,kBAAkBiR,GAAG,KAAK,iBAAiB,EAAE,qBAAqBA,GAAG,KAAK,oBAAoB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,iBAAiBnO,GAAG,KAAK,gBAAgB,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,eAAeA,GAAG,KAAK,cAAc,EAAE,QAAQ,KAAK,QAAQ,iBAAiB,KAAK,iBAAiB,eAAe,KAAK,eAAe,WAAW,EAAE,EAAE,OAAO,OAAO,OAAO,OAAO,OAAO,CAAC,EAAEpuD,CAAC,EAAEZ,CAAC,CAAC,CAAC,EAAEu/D,GAAG,UAAU,UAAUhoC,GAAE,cAAcgoC,EAAE,EAAE,IAAIC,GAAG,cAAcpP,EAAE,CAAC,YAAYxvD,EAAE,CAACA,EAAE,iBAAiB,GAAG,QAAQ,KAAK,gHAAgH,EAAEA,EAAE,KAAK,IAAI2+D,GAAG3+D,CAAC,EAAE,MAAMA,CAAC,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,KAAK,KAAK,aAAa,OAAOC,GAAG,KAAK,KAAK,WAAW,EAAE,KAAK,KAAK,YAAY,MAAM,KAAK,KAAK,sBAAsB,OAAOA,GAAG,KAAK,KAAK,oBAAoB,EAAE,KAAK,KAAK,qBAAqB,MAAM,IAAI,EAAExzB,GAAG,KAAK,KAAKA,EAAE,KAAKK,EAAEL,GAAG,KAAK,KAAKA,EAAE,SAAS6B,EAAE7B,GAAG,KAAK,KAAKA,EAAE,aAAa,OAAO,MAAM,KAAKY,EAAE,CAAC,KAAK,EAAE,SAASP,EAAE,aAAawB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO,WAAWjB,EAAEZ,EAAE,CAAC,OAAOA,EAAE,gBAAgB,IAAIA,EAAE,eAAe,GAAG,IAAIY,EAAEZ,CAAC,CAAC,CAAC,EAAEw/D,GAAG,UAAU,MAAMjoC,GAAE,cAAcioC,EAAE,EAAE,IAAIC,GAAG,cAAcpP,EAAE,CAAC,YAAYzvD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,mBAAmB,OAAO,KAAK,6BAA6B,cAAc,KAAK,2BAA2B,eAAe,KAAK,8BAA8B,aAAa,KAAK,yBAAyB,QAAQ,KAAK,MAAMA,EAAE,MAAMumD,GAAG,KAAK,MAAM,OAAO,EAAE,KAAK,WAAWyV,GAAGh8D,EAAE,aAAa,OAAO,KAAK,mBAAmBA,EAAE,UAAU,EAAE,KAAK,oBAAoBg8D,GAAGh8D,EAAE,sBAAsB,OAAO,KAAK,6BAA6BA,EAAE,mBAAmB,EAAE,KAAK,QAAQA,EAAE,SAAS,KAAK,GAAGA,EAAE,QAAQ,KAAK,kBAAkBurD,GAAGvrD,EAAE,mBAAmB,KAAK,0BAA0B,EAAE,KAAK,qBAAqBurD,GAAGvrD,EAAE,sBAAsB,KAAK,6BAA6B,EAAE,KAAK,gBAAgBurD,GAAGvrD,EAAE,iBAAiB,KAAK,wBAAwB,EAAE,KAAK,eAAeA,EAAE,eAAe,KAAK,kBAAkBy8D,GAAGz8D,EAAE,iBAAiB,EAAE,KAAK,qBAAqBy8D,GAAGz8D,EAAE,oBAAoB,EAAE,KAAK,gBAAgBy8D,GAAGz8D,EAAE,eAAe,EAAE,KAAK,iBAAiBsuD,GAAGtuD,EAAE,gBAAgB,EAAE,KAAK,oBAAoBsuD,GAAGtuD,EAAE,mBAAmB,EAAE,KAAK,eAAesuD,GAAGtuD,EAAE,cAAc,EAAE,KAAK,QAAQmoD,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAEpoD,EAAE,SAAS,KAAK,EAAEA,EAAE,OAAO,CAAC,CAAC,CAAC,EAAE,KAAK,iBAAiBmoD,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAEpoD,EAAE,kBAAkB,KAAK,EAAEA,EAAE,gBAAgB,CAAC,CAAC,CAAC,EAAE,KAAK,YAAYA,EAAE,YAAY,KAAK,eAAeA,EAAE,eAAe,KAAK,UAAU,CAAC,KAAK,MAAM,KAAK,KAAK,EAAE,KAAK,YAAY,KAAK,KAAK,qBAAqB,IAAI,CAAC,MAAMA,EAAE,CAAC,IAAIZ,EAAEY,EAAE2rD,GAAG3rD,CAAC,EAAE,IAAI,EAAEA,EAAEA,EAAE,OAAO,GAAG,KAAK,OAAO,KAAK,UAAU,SAAS,CAAC,EAAE,KAAK,MAAM,CAAC,EAAE,KAAK,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,KAAK,gBAAgB,KAAK,UAAU,mBAAmB,CAAC,KAAK,MAAM,KAAK,MAAM,CAAC,EAAE,KAAK,KAAK,qBAAqB,KAAK,qBAAqB,GAAG,KAAK,mBAAmB,EAAE,IAAIP,EAAE,GAAG,KAAK,QAAQ,CAAC,GAAG,KAAK,eAAe,CAAC,IAAIwB,EAAE,KAAK,gBAAgBC,EAAE,KAAK,MAAMzB,EAAE,IAAIL,EAAE,cAAc+qD,EAAE,CAAC,MAAM/oD,EAAEC,EAAE,CAAC,IAAIS,EAAEb,EAAE,MAAM,CAACC,CAAC,CAAC,EAAEa,EAAE,IAAIsoD,GAAG,EAAE,MAAM,CAACnpD,CAAC,CAAC,EAAEc,EAAEf,EAAE,MAAM,CAACC,EAAE,CAAC,CAAC,EAAE,OAAOioD,GAAGA,GAAGrnD,EAAEC,CAAC,EAAEC,CAAC,CAAC,CAAC,EAAE5C,EAAE,UAAU,aAAaA,EAAE,MAAMK,EAAE,KAAK,gBAAgB,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,MAAM,CAAC,EAAE,KAAKA,EAAE,KAAK,gBAAgB,GAAG,KAAK,cAAc,CAAC,MAAM,KAAK,KAAK,KAAK,KAAK,MAAM,EAAE,CAAC,KAAKO,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,IAAI,EAAEvzB,EAAE,UAAU,KAAK,GAAGA,EAAE,SAAS,GAAGY,EAAEA,EAAEA,EAAE,SAAS,EAAE,MAAM,IAAIklD,EAAE,wDAAwDllD,EAAE,SAAS,EAAE,IAAIP,EAAEO,EAAE,GAAGiB,EAAEjB,EAAE,GAAGA,EAAEA,EAAE,GAAG,EAAE,KAAK,SAAS,KAAK,QAAQ,GAAG,KAAK,aAAa,OAAO,KAAK,YAAYy+D,GAAG,CAAC,KAAK,IAAIh2B,GAAGzoC,CAAC,EAAE,KAAK,KAAK,QAAQ,SAAS,EAAE,MAAM,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,EAAE,KAAK,kBAAkB,KAAK,iBAAiB,GAAG,KAAK,sBAAsB,OAAO,KAAK,qBAAqBy+D,GAAG,CAAC,KAAK,IAAIh2B,GAAGhpC,CAAC,EAAE,KAAK,KAAK,iBAAiB,SAAS,EAAE,MAAM,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,IAAIyB,EAAE,KAAK,YAAYC,EAAE,KAAK,qBAAqBC,EAAE,EAAEU,EAAE,EAAE,EAAE,KAAK,SAAS,KAAK,QAAQ,IAAI9B,EAAEs4B,EAAEt4B,EAAEkB,EAAE,EAAE,GAAG,IAAIc,EAAEqnD,GAAGrpD,EAAE,KAAK,OAAO,KAAK,CAAC,EAAE,EAAE,KAAK,kBAAkB,KAAK,iBAAiB,IAAIP,EAAE64B,EAAE74B,EAAE0B,EAAE,EAAE,GAAGa,EAAEg2B,EAAEh2B,EAAEqnD,GAAG5pD,EAAE,KAAK,gBAAgB,KAAK,CAAC,CAAC,EAAE,KAAK,UAAUuC,EAAEynD,GAAGznD,EAAE,KAAK,KAAK,KAAK,CAAC,GAAG,GAAG,CAACC,EAAEC,EAAEkB,EAAEC,CAAC,EAAEirC,GAAGtsC,EAAE,EAAEA,EAAE,KAAK,CAAC,EAAEZ,EAAE,KAAK,oBAAoB,MAAMa,CAAC,EAAE,EAAE,KAAK,oBAAoB,MAAMC,CAAC,EAAEJ,EAAEk2B,EAAEM,EAAE,EAAEr3B,CAAC,EAAEq3B,EAAEl3B,EAAE,KAAK,WAAW,MAAMgC,CAAC,CAAC,CAAC,EAAE,EAAE,KAAK,oBAAoB,MAAMC,CAAC,EAAE,IAAIoD,EAAE6xB,EAAE,EAAE,KAAK,WAAW,MAAMx2B,CAAC,CAAC,EAAE,MAAM,CAAC2E,EAAEA,EAAE3E,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAI9B,EAAE,MAAM,UAAU,EAAEZ,EAAE,CAAC,MAAM,KAAK,MAAM,WAAW08D,GAAG,KAAK,UAAU,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,QAAQ,KAAK,QAAQ,kBAAkBxQ,GAAG,KAAK,iBAAiB,EAAE,qBAAqBA,GAAG,KAAK,oBAAoB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,eAAe,KAAK,eAAe,kBAAkBiR,GAAG,KAAK,iBAAiB,EAAE,qBAAqBA,GAAG,KAAK,oBAAoB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,iBAAiBnO,GAAG,KAAK,gBAAgB,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,eAAeA,GAAG,KAAK,cAAc,EAAE,QAAQ,KAAK,QAAQ,iBAAiB,KAAK,iBAAiB,eAAe,KAAK,cAAc,EAAE,OAAO,OAAO,OAAO,OAAO,OAAO,CAAC,EAAEpuD,CAAC,EAAEZ,CAAC,CAAC,CAAC,EAAEy/D,GAAG,UAAU,WAAWloC,GAAE,cAAckoC,EAAE,EAAE,IAAIC,GAAG,cAActP,EAAE,CAAC,YAAYxvD,EAAE,CAACA,EAAE,iBAAiB,GAAG,QAAQ,KAAK,gHAAgH,EAAEA,EAAE,KAAK,IAAI6+D,GAAG7+D,CAAC,EAAE,MAAMA,CAAC,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,KAAK,KAAK,aAAa,OAAOC,GAAG,KAAK,KAAK,WAAW,EAAE,KAAK,KAAK,YAAY,MAAM,KAAK,KAAK,sBAAsB,OAAOA,GAAG,KAAK,KAAK,oBAAoB,EAAE,KAAK,KAAK,qBAAqB,MAAM,IAAI,EAAExzB,GAAG,KAAK,KAAKA,EAAE,KAAKK,EAAEL,GAAG,KAAK,KAAKA,EAAE,SAAS6B,EAAE7B,GAAG,KAAK,KAAKA,EAAE,aAAa,OAAO,MAAM,KAAKY,EAAE,CAAC,KAAK,EAAE,SAASP,EAAE,aAAawB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO,WAAWjB,EAAEZ,EAAE,CAAC,OAAOA,EAAE,gBAAgB,IAAIA,EAAE,eAAe,GAAG,IAAIY,EAAEZ,CAAC,CAAC,CAAC,EAAE0/D,GAAG,UAAU,OAAOnoC,GAAE,cAAcmoC,EAAE,EAAE,IAAIP,GAAG,cAAc9O,EAAE,CAAC,YAAYzvD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,MAAMA,EAAE,KAAK,CAAC,IAAI,WAAW,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQZ,KAAK,KAAK,MAAM,MAAM,EAAE,QAAQ,EAAE,MAAM,QAAQA,EAAE,SAAS,EAAEY,EAAE,KAAK,GAAGZ,EAAE,SAAS,EAAEY,EAAE,KAAKZ,EAAE,SAAS,EAAE,OAAOY,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC3yB,EAAEA,EAAE,IAAI,EAAEA,EAAE,MAAM,CAAC,EAAEP,EAAE,CAAC,EAAE,QAAQ0B,KAAK,KAAK,MAAM,MAAM,EAAE,QAAQ,EAAE,MAAM,QAAQA,EAAE,SAAS,EAAE1B,EAAE,KAAK,EAAE,OAAO,EAAE0B,EAAE,UAAU,MAAM,CAAC,EAAE1B,EAAE,KAAK,EAAE,OAAO,EAAE,CAAC,CAAC,EAAEA,EAAE,QAAQ,EAAE,IAAIwB,EAAE,CAAC,EAAEC,EAAE,QAAQC,EAAE,EAAEA,EAAE,KAAK,MAAM,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAE,KAAK,MAAMD,GAAG,EAAE1B,EAAE0B,GAAGA,IAAI,EAAED,EAAE,CAAClB,EAAE,EAAE,EAAE,OAAO,CAAC,EAAEkB,EAAE,CAACA,EAAE,EAAE,EAAE,OAAO,CAAC,EAAEA,EAAEE,EAAE,KAAKF,EAAE9B,CAAC,EAAE6B,EAAE,KAAKC,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,QAAQC,KAAKF,EAAE,MAAM,EAAE,QAAQ,EAAE,EAAE,KAAK,GAAGE,CAAC,EAAE,MAAM,CAACD,EAAE,EAAE,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,CAAC,MAAMlB,EAAE,CAACwrD,GAAGxrD,CAAC,IAAIA,EAAEA,EAAE,IAAIA,EAAEA,EAAE,IAAIZ,EAAE,KAAK,MAAM,QAAQ,CAAC,EAAEK,IAAI,CAACkoD,GAAG,WAAWloD,IAAI,IAAI,CAAC,EAAE,MAAMO,CAAC,EAAE,MAAM,QAAQ,EAAE,SAAS,EAAEZ,EAAE,EAAE,UAAU,GAAGA,EAAE,EAAE,UAAUY,EAAE,CAACA,EAAE,GAAGZ,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,WAAW,CAAC,IAAIY,EAAE,MAAM,UAAU,EAAEZ,EAAE6B,IAAI,CAAC,UAAUA,EAAE,aAAa,EAAE,OAAOA,EAAE,UAAU,CAAC,GAAGxB,EAAE,CAAC,MAAM,KAAK,MAAM,IAAIL,CAAC,CAAC,EAAE,OAAO,OAAO,OAAO,OAAO,OAAO,CAAC,EAAEY,CAAC,EAAEP,CAAC,CAAC,CAAC,OAAO,WAAWO,EAAEZ,EAAE,EAAE,CAAC,EAAE,CAAC,IAAIK,EAAE,CAAC,EAAE,QAAQwB,KAAK7B,EAAE,MAAMK,EAAE,KAAKw1D,GAAGh0D,EAAE,CAAC,CAAC,EAAE,OAAO,IAAIjB,EAAE,CAAC,MAAMP,CAAC,CAAC,CAAC,CAAC,IAAI,kBAAkB,CAAC,GAAG,CAAC,KAAK,UAAU,MAAM,CAAC,EAAE,IAAIO,EAAE,CAAC,EAAE,QAAQZ,KAAK,KAAK,MAAMY,EAAE,KAAK,GAAGZ,EAAE,gBAAgB,EAAE,OAAOY,CAAC,CAAC,IAAI,qBAAqB,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQZ,KAAK,KAAK,MAAMY,EAAE,KAAK,GAAGZ,EAAE,mBAAmB,EAAE,GAAG,CAAC,KAAK,UAAU,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQ,KAAK,KAAK,MAAMA,EAAE,KAAK,GAAG,EAAE,gBAAgB,EAAE,OAAOA,EAAE,OAAOY,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,YAAY,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQZ,KAAK,KAAK,MAAMY,EAAE,KAAK,GAAGZ,EAAE,OAAO,EAAE,OAAO4sD,GAAGhsD,CAAC,CAAC,CAAC,WAAWA,EAAE,CAAC,IAAIZ,EAAE,CAAC,EAAE,QAAQ,KAAK,KAAK,MAAM,CAAC,IAAIK,EAAE,EAAE,QAAQ,OAAOwB,EAAEjB,EAAE,OAAOP,CAAC,EAAE,QAAQyB,EAAE,EAAEA,EAAE,EAAE,QAAQ,OAAO,EAAEA,EAAE9B,EAAE,KAAK,CAAC,EAAE,QAAQ8B,GAAGD,EAAEC,EAAE,CAAC,CAAC,CAAC+qD,GAAG7sD,CAAC,CAAC,CAAC,EAAEm/D,GAAG,UAAU,kBAAkB5nC,GAAE,cAAc4nC,EAAE,EAAE,SAASE,GAAGv/D,EAAE,CAAC,GAAG,CAAC,KAAK,EAAE,KAAKE,EAAE,SAASI,EAAE,GAAG,MAAMC,EAAE,EAAE,YAAY,CAAC,EAAEP,EAAE,EAAE,IAAI,GAAG,KAAK,EAAE,EAAE,EAAEE,CAAC,EAAEwqD,GAAG,EAAE,EAAExqD,CAAC,EAAE+B,EAAE,IAAI2oD,GAAG,EAAE,EAAEtqD,CAAC,EAAE,MAAM,CAACC,GAAGA,GAAG,EAAEozB,GAAG1xB,EAAE,EAAE,MAAM,CAAC,EAAE,MAAM1B,CAAC,EAAE,KAAK,MAAM,EAAE,IAAI0B,CAAC,EAAE,IAAI,GAAG0xB,GAAG,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,IAAIksC,GAAG,SAAS7/D,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQI,KAAKN,EAAE,OAAO,UAAU,eAAe,KAAKA,EAAEM,CAAC,GAAG,EAAE,QAAQA,CAAC,EAAE,IAAIJ,EAAEI,GAAGN,EAAEM,IAAI,GAAGN,GAAG,MAAM,OAAO,OAAO,uBAAuB,WAAW,QAAQO,EAAE,EAAED,EAAE,OAAO,sBAAsBN,CAAC,EAAEO,EAAED,EAAE,OAAOC,IAAI,EAAE,QAAQD,EAAEC,EAAE,EAAE,GAAG,OAAO,UAAU,qBAAqB,KAAKP,EAAEM,EAAEC,EAAE,IAAIL,EAAEI,EAAEC,IAAIP,EAAEM,EAAEC,KAAK,OAAOL,CAAC,EAAM4/D,GAAG,cAAcxP,EAAE,CAAC,YAAYxvD,EAAE,CAAC,GAAGA,EAAE,OAAO,MAAM,IAAImlD,GAAG,oDAAoD,EAAE,GAAG,MAAM,QAAQnlD,EAAE,IAAI,EAAE,MAAM,IAAImlD,GAAG,gEAAgE,EAAE,MAAMnlD,CAAC,EAAE,KAAK,UAAU,CAAC,IAAIksD,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,KAAKlsD,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,GAAG,KAAK,KAAK,aAAa,OAAOC,GAAG,KAAK,KAAK,WAAW,EAAE,KAAK,KAAK,YAAY,MAAM,KAAK,KAAK,sBAAsB,OAAOA,GAAG,KAAK,KAAK,oBAAoB,EAAE,KAAK,KAAK,qBAAqB,MAAMxzB,GAAGA,EAAE,UAAU,MAAM,IAAI8lD,EAAE,2CAA2C,EAAE,IAAI,EAAE9lD,GAAG,KAAK,KAAKA,EAAE,KAAKK,EAAEL,GAAG,KAAK,KAAKA,EAAE,SAAS6B,EAAE7B,GAAG,KAAK,KAAKA,EAAE,aAAa,OAAO,MAAM,KAAKY,EAAE,CAAC,KAAK,EAAE,SAASP,EAAE,aAAawB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBjB,EAAE,CAAC,IAAIZ,EAAE,KAAK,yBAAyBY,CAAC,EAAE,OAAO,KAAK,kBAAkBZ,EAAE,CAACA,EAAE,GAAG,GAAGA,EAAE,MAAM,CAAC,CAAC,GAAG,KAAK,cAAcA,EAAE,CAACA,EAAE,GAAG,MAAM,CAAC,EAAE,KAAK,CAACY,EAAE,GAAG,GAAGZ,EAAE,MAAM,EAAE,CAAC,CAAC,CAAC,GAAGA,CAAC,CAAC,gBAAgBY,EAAE,CAAC,OAAO2yB,EAAE,IAAI,CAAC,GAAG,CAAC,UAAUvzB,CAAC,EAAE,KAAK,KAAK,EAAEY,EAAE,MAAMP,EAAE,KAAK,yBAAyB,CAAC,EAAEwB,EAAE,CAACxB,EAAE,GAAG,GAAGA,EAAE,MAAM,CAAC,CAAC,EAAEyB,EAAEqmC,GAAGtmC,CAAC,EAAE,OAAO,MAAM,QAAQ7B,CAAC,EAAE,MAAMA,EAAE,MAAM,EAAE,KAAK8B,CAAC,EAAE,CAACA,CAAC,CAAC,CAAC,CAAC,CAAC,YAAYlB,EAAEZ,EAAE,GAAG,CAACuzB,EAAE,IAAI,CAAC,GAAG,CAAC,KAAK,SAAS,MAAM,IAAIqyB,GAAG,iEAAiE,EAAE,IAAI,EAAE,KAAK,UAAU,GAAG,MAAMvlD,EAAE,KAAK,yBAAyB,CAAC,EAAEwB,EAAE,CAACxB,EAAE,GAAG,GAAGA,EAAE,MAAM,CAAC,CAAC,EAAE,GAAG,EAAE,IAAI,KAAK,MAAM,IAAIylD,EAAE,uUAAuU,EAAE,GAAG,KAAK,UAAU,GAAG,KAAK,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,QAAQ,KAAK,KAAK,UAAU,IAAI,IAAI3d,GAAGtmC,CAAC,CAAC,EAAE,KAAK,QAAQ,CAACsmC,GAAGtmC,CAAC,CAAC,UAAUjB,GAAG,KAAK4yB,GAAG,KAAK,OAAO,EAAE,KAAK,YAAY,OAAOA,GAAG,KAAK,UAAU,EAAE,KAAK,WAAW,CAAC,GAAG,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,QAAQ,KAAK,KAAK,UAAU,IAAI,IAAI2U,GAAGtmC,CAAC,CAAC,EAAE,KAAK,QAAQ,GAAGsmC,GAAGtmC,CAAC,MAAM,CAAC,GAAG,MAAM,QAAQjB,CAAC,IAAIA,EAAE,CAACA,CAAC,GAAGA,EAAE,SAAS,KAAK,QAAQ,OAAO,MAAM,IAAIklD,EAAE,SAAS,KAAK,gBAAgB,KAAK,QAAQ,oCAAoCllD,EAAE,0CAA0CA,GAAG,EAAEZ,EAAE,KAAK,WAAW,KAAK,KAAK,QAAQ,MAAM,CAAC,EAAEwzB,GAAG,KAAK,OAAO,EAAE,QAAQzxB,EAAE,EAAEA,EAAE,KAAK,QAAQ,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAEpB,EAAEmB,GAAGE,EAAEJ,EAAE,GAAG,CAAC+kB,EAAE,YAAY5kB,EAAE,MAAMC,CAAC,EAAE,MAAM,IAAI6jD,EAAE,SAAS/jD,gCAAgC,KAAK,wBAAwBE,qBAAqBD,EAAE,OAAO,EAAE,KAAK,QAAQD,GAAGC,CAAC,CAAC,CAAC,KAAK,QAAQ,KAAK,QAAQ,IAAID,GAAG0xB,GAAG1xB,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,yBAAyBnB,EAAE,CAAC,GAAG,CAAC,WAAWZ,EAAE,QAAQ,EAAE,WAAWK,EAAE,QAAQwB,EAAE,QAAQC,EAAE,aAAaC,CAAC,EAAE,KAAK,KAAKC,EAAEhC,IAAI,gBAAgB,EAAEY,EAAEoB,EAAE,EAAE,GAAGU,EAAE9B,EAAEoB,EAAE,EAAE,GAAG,EAAE67D,GAAG,EAAEx9D,EAAE,GAAGwB,EAAEC,EAAE,GAAGC,EAAE,EAAE,EAAEa,EAAEi7D,GAAGn7D,EAAErC,EAAE,GAAGwB,EAAEC,EAAE,GAAGC,EAAE,EAAE,EAAE,MAAM,CAAC,GAAGnB,EAAE,MAAM,EAAE,CAAC,EAAE,GAAGoB,EAAE,CAAC,EAAE,EAAEY,CAAC,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEg9D,GAAG,UAAU,YAAY,IAAIC,GAAG,cAAcJ,EAAE,CAAC,YAAY7+D,EAAE,CAAC,GAAG,CAAC,QAAQZ,EAAE,WAAW,EAAE,QAAQK,EAAE,QAAQwB,EAAE,WAAWC,EAAE,aAAaC,CAAC,EAAEnB,EAAE,MAAM,OAAO,OAAO,OAAO,OAAO,CAAC,EAAEA,CAAC,EAAE,CAAC,MAAMZ,CAAC,CAAC,CAAC,EAAE,KAAK,QAAQA,EAAEmnD,GAAG,KAAK,QAAQ,SAAS,EAAE,KAAK,WAAWyW,GAAG,EAAE,EAAE,YAAY,EAAE,KAAK,WAAW,QAAQ57D,GAAGmlD,GAAGnlD,EAAE,YAAY,CAAC,EAAE,KAAK,QAAQ47D,GAAGv9D,GAAG,EAAE,EAAE,SAAS,EAAE,KAAK,QAAQ,QAAQ2B,GAAGmlD,GAAGnlD,EAAE,SAAS,CAAC,EAAE,KAAK,QAAQH,GAAG,QAAQsmD,GAAG,KAAK,OAAO,EAAE,KAAK,WAAWrmD,GAAG,eAAemmD,GAAG,KAAK,UAAU,EAAE,KAAK,aAAa2V,GAAG77D,GAAG,EAAE,EAAE,cAAc,EAAE,KAAK,aAAa,QAAQC,GAAGmlD,GAAGnlD,EAAE,cAAc,CAAC,CAAC,CAAC,MAAMpB,EAAE,CAAC,IAAIZ,EAAEY,EAAE2rD,GAAG3rD,CAAC,EAAE,IAAI,EAAE,KAAK,aAAa,gBAAgB,EAAEA,EAAE,OAAO,EAAE,GAAGA,EAAE,IAAI,KAAK,MAAM,IAAIklD,EAAE,+DAA+DllD,EAAE,IAAI,EAAE,IAAIP,EAAEO,EAAE,GAAGiB,EAAE,EAAEC,EAAE,KAAK,WAAW,OAAO,CAACzB,EAAE,KAAK,QAAQwB,CAAC,CAAC,EAAE,KAAK,OAAO,KAAK,UAAU,SAASC,EAAE,KAAK,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,IAAIC,EAAE,KAAK,WAAW,OAAO,CAAC,KAAK,QAAQ,KAAK,QAAQF,CAAC,CAAC,EAAE,GAAG,KAAK,gBAAgB,KAAK,UAAU,mBAAmBE,EAAE,KAAK,KAAK,qBAAqB,KAAK,qBAAqB,GAAG,KAAK,mBAAmB,EAAE,KAAK,QAAQ,CAAC,IAAIC,EAAE,GAAG,KAAK,eAAe,CAAC,IAAI,EAAE,KAAK,gBAAgBU,EAAE,KAAK,QAAQV,EAAE,IAAIhC,EAAE,cAAc+qD,EAAE,CAAC,MAAMnoD,EAAEC,EAAE,CAAC,IAAIC,EAAE,EAAE,MAAM,CAACJ,CAAC,CAAC,EAAE,EAAE0lC,GAAG,CAAC1lC,CAAC,CAAC,EAAEuB,EAAE,EAAE,MAAM,CAACvB,EAAE,CAAC,CAAC,EAAE,OAAOonD,GAAG,CAAChnD,EAAE,EAAEmB,CAAC,CAAC,CAAC,CAAC,EAAEjE,EAAE,UAAU,aAAaA,EAAE,MAAMgC,EAAE,KAAK,gBAAgB,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,QAAQH,CAAC,EAAE,KAAKG,EAAE,KAAK,gBAAgB,GAAG,KAAK,cAAc,CAAC,CAAC,KAAK,MAAM,EAAE,CAAC,KAAKpB,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,GAAG3yB,EAAE,SAAS,EAAE,MAAM,IAAIklD,EAAE,8DAA8DllD,EAAE,SAAS,EAAE,IAAI,EAAEZ,EAAE,UAAU,GAAGK,EAAEO,EAAE,GAAGiB,EAAEjB,EAAE,GAAGkB,EAAElB,EAAE,GAAGmB,EAAE,EAAE,EAAE,KAAK,SAAS,KAAK,QAAQ,GAAG,KAAK,aAAa,OAAO,KAAK,YAAYs9D,GAAG,CAAC,KAAK,IAAIh2B,GAAGhpC,CAAC,EAAE,KAAK,KAAK,QAAQ,SAAS,EAAE,MAAM0B,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,IAAIC,EAAE,KAAK,YAAY,EAAE,CAACkG,EAAGC,EAAGC,KAAK,CAACD,GAAI,CAACA,EAAGC,IAAIF,EAAGgxB,EAAE/wB,EAAGC,IAAIF,CAAE,EAAExF,EAAE,EAAErC,EAAE2B,EAAE,CAAC,EAAE,EAAE,EAAE3B,EAAE2B,EAAE,CAAC,EAAEY,EAAE,EAAEvC,EAAE2B,EAAE,CAAC,EAAEa,EAAE,EAAExC,EAAE2B,EAAE,CAAC,EAAE,EAAE,KAAK,kBAAkB,KAAK,iBAAiB,GAAG,KAAK,sBAAsB,OAAO,KAAK,qBAAqBq9D,GAAG,CAAC,KAAK,IAAIh2B,GAAGxnC,CAAC,EAAE,KAAK,KAAK,iBAAiB,SAAS,EAAE,MAAME,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,IAAIe,EAAE,KAAK,qBAAqBkB,EAAE,EAAEnC,EAAEiB,EAAE,CAAC,EAAEmB,EAAE,EAAEpC,EAAEiB,EAAE,CAAC,EAAEuE,EAAE,EAAExF,EAAEiB,EAAE,CAAC,EAAE,EAAE,EAAEjB,EAAEiB,EAAE,CAAC,EAAE2B,EAAE,EAAE,CAACC,EAAEC,EAAEC,EAAE0C,CAAC,EAAE4nC,GAAG,KAAK,OAAO,KAAK,EAAEntC,EAAE0C,CAAC,EAAE,CAACK,EAAEyC,EAAExC,EAAEC,CAAC,EAAE,KAAK,QAAQkqC,GAAG,KAAK,KAAK,KAAK,EAAEntC,CAAC,EAAE,CAAC,KAAK,KAAK,KAAK,IAAI,EAAEW,EAAE,KAAK,UAAUA,EAAEgC,EAAEI,EAAE,KAAK,OAAO,EAAE,EAAE,KAAK,UAAU,EAAEH,EAAE4C,EAAE,KAAK,OAAO,EAAE3E,EAAE,KAAK,UAAUA,EAAEgC,EAAEG,EAAE,KAAK,OAAO,EAAElC,EAAE,KAAK,UAAUA,EAAEyE,EAAEtC,EAAE,KAAK,OAAO,EAAE,GAAG,CAACC,EAAEC,EAAEC,EAAEC,CAAC,EAAE8pC,GAAG,KAAK,gBAAgB,KAAK,EAAEntC,EAAE0C,CAAC,EAAET,EAAE,KAAK,cAAcA,EAAEiB,CAAC,EAAEhB,EAAE,KAAK,cAAcA,EAAEiB,CAAC,EAAEmC,EAAE,KAAK,cAAcA,EAAElC,CAAC,EAAE,EAAE,KAAK,cAAc,EAAEC,CAAC,EAAE,IAAI2C,EAAE,KAAK,oBAAoB,MAAM6wB,EAAEl2B,EAAEsB,CAAC,CAAC,EAAEyD,EAAE,KAAK,oBAAoB,MAAMmxB,EAAE,EAAE30B,CAAC,CAAC,EAAE+D,EAAE4wB,EAAEM,EAAEzxB,EAAE3F,CAAC,EAAEo3B,EAAEnxB,EAAE,KAAK,WAAW,MAAM6wB,EAAEh2B,EAAEyE,CAAC,CAAC,CAAC,CAAC,EAAEY,EAAGixB,EAAE,KAAK,oBAAoB,MAAMN,EAAE/1B,EAAE,CAAC,CAAC,EAAE,KAAK,WAAW,MAAMmF,CAAC,CAAC,EAAE,MAAM,CAACC,EAAGA,EAAGD,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIpH,EAAE,MAAM,UAAU,EAAE,CAAC,MAAMZ,CAAC,EAAEY,EAAE,EAAE++D,GAAG/+D,EAAE,CAAC,OAAO,CAAC,EAAEP,EAAE,CAAC,QAAQ,KAAK,QAAQ,WAAW,KAAK,WAAW,QAAQ,KAAK,QAAQ,WAAW,KAAK,WAAW,aAAa,KAAK,aAAa,QAAQ,KAAK,OAAO,EAAE,OAAO,OAAO,OAAO,OAAO,OAAO,CAAC,EAAE,CAAC,EAAEA,CAAC,CAAC,CAAC,UAAUO,EAAEZ,EAAE,EAAEK,EAAE,CAAC,IAAIwB,EAAEi9B,GAAGl+B,EAAEZ,EAAE,KAAK,QAAQK,GAAG,QAAQ,KAAK,aAAa,gBAAgB,OAAO,OAAO,KAAK,YAAY,EAAE,OAAO,EAAEgqD,GAAGxoD,EAAE,EAAE,KAAK,UAAU,EAAEA,CAAC,CAAC,cAAcjB,EAAEZ,EAAE,CAAC,OAAO8+B,GAAGl+B,EAAEZ,EAAE,EAAE,OAAO,KAAK,aAAa,gBAAgB,OAAO,MAAM,CAAC,CAAC,EAAE6/D,GAAG,UAAU,iBAAiBtoC,GAAE,cAAcsoC,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAYh/D,EAAE,CAAC,IAAIZ,EAAE,IAAI6/D,GAAGj/D,CAAC,EAAE,MAAM,OAAO,OAAO,OAAO,OAAO,CAAC,EAAEA,CAAC,EAAE,CAAC,KAAKZ,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO,WAAWY,EAAEZ,EAAE,CAAC,OAAO,IAAIY,EAAEZ,CAAC,CAAC,CAAC,EAAE8/D,GAAG,UAAU,aAAavoC,GAAE,cAAcuoC,EAAE,EAAE,IAAIC,GAAG,cAAc5S,EAAE,CAAC,YAAYvsD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,KAAK,KAAK,IAAI,KAAK,IAAIA,EAAE,KAAK,CAAC,EAAE,CAAC,EAAE,KAAK,WAAWA,EAAE,WAAW,KAAK,KAAKA,EAAE,KAAK,KAAK,gBAAgB,EAAE,CAAC,cAAcA,EAAE,CAAC,GAAG,KAAK,YAAY,KAAK,OAAO,KAAK,WAAW,IAAIZ,EAAEY,EAAE,MAAM,EAAE,CAAC,EAAE,QAAQP,EAAE,EAAEA,EAAE,KAAK,WAAW,OAAO,EAAEA,EAAE,EAAE,KAAK,KAAK,WAAWA,IAAI,KAAKL,EAAEK,GAAG,KAAK,WAAWA,EAAE,EAAE,OAAO,CAAC,CAAC,KAAKO,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,KAAK,eAAe3yB,EAAEZ,CAAC,EAAE,IAAI,EAAEssD,GAAG1rD,CAAC,EAAE,GAAG,EAAE,KAAK,MAAM,KAAK,KAAK,EAAE,CAAC,IAAIP,EAAEL,EAAE,UAAU,KAAK,GAAGA,EAAE,SAAS6B,EAAE,KAAK,cAAc,CAAC,EAAE,OAAO6oD,GAAG,IAAIF,GAAG,EAAE,KAAK,KAAK3oD,EAAE,KAAK,IAAI,EAAE,IAAI,EAAExB,CAAC,CAAC,CAAC,OAAOO,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,KAAK,KAAK,KAAK,WAAW,KAAK,WAAW,KAAK,KAAK,IAAI,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,SAAS,CAAC,OAAO,MAAM,QAAQ,CAAC,CAAC,EAAEm/D,GAAG,UAAU,UAAUxoC,GAAE,cAAcwoC,EAAE,EAAE,IAAIC,GAAG,cAAcD,EAAE,CAAC,YAAYn/D,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,UAAU,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,cAAcA,EAAE,CAAC,IAAIZ,EAAEY,EAAE,MAAM,MAAM,CAACZ,EAAE,GAAG,EAAEA,EAAE,EAAE,CAAC,CAAC,EAAEggE,GAAG,UAAU,mBAAmBzoC,GAAE,cAAcyoC,EAAE,EAAE,IAAIC,GAAG,cAAc9S,EAAE,CAAC,YAAYvsD,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,WAAW,KAAK,KAAK,QAAQ,GAAG,KAAK,OAAO,KAAK,KAAK,KAAK,KAAK,KAAK,2BAA2B,eAAe,KAAK,yBAAyB,QAAQA,EAAE,iBAAiB,MAAMA,EAAE,YAAY,MAAMA,EAAE,UAAU,KAAK,CAAC,IAAIZ,EAAE,KAAKY,EAAE,WAAW,OAAOZ,EAAEY,EAAE,WAAW,KAAK,gBAAgB,CAACZ,EAAEY,EAAE,QAAQ,CAAC,CAAC,KAAK,MAAMA,EAAE,MAAMumD,GAAG,KAAK,MAAM,OAAO,EAAE,KAAK,WAAWyV,GAAGh8D,EAAE,UAAU,EAAEA,EAAE,SAAS,OAAO,KAAK,QAAQA,EAAE,SAAS,KAAK,kBAAkBurD,GAAGvrD,EAAE,mBAAmB,KAAK,0BAA0B,EAAE,KAAK,gBAAgBurD,GAAGvrD,EAAE,iBAAiB,KAAK,wBAAwB,EAAE,KAAK,iBAAiBsuD,GAAGtuD,EAAE,gBAAgB,EAAE,KAAK,eAAesuD,GAAGtuD,EAAE,cAAc,EAAE,KAAK,kBAAkBy8D,GAAGz8D,EAAE,iBAAiB,EAAE,KAAK,gBAAgBy8D,GAAGz8D,EAAE,eAAe,EAAE,KAAK,oBAAoBy8D,GAAGz8D,EAAE,mBAAmB,EAAE,KAAK,gBAAgB,GAAG,KAAK,UAAU,CAAC,CAAC,QAAQ,CAAC,CAAC,CAAC,CAAC,MAAMA,EAAE,CAACA,EAAE2rD,GAAG3rD,CAAC,EAAE,IAAIZ,EAAEY,EAAEA,EAAE,OAAO,GAAG,KAAK,QAAQ,OAAO,KAAK,OAAO,KAAK,UAAU,SAAS,CAACZ,EAAE,KAAK,KAAK,EAAE,KAAK,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,KAAK,UAAU,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,KAAK,EAAE,KAAK,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,IAAI,KAAK,UAAU,CAAC,CAAC,QAAQ,EAAE,KAAK,CAAC,CAAC,IAAIA,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,mBAAmBY,EAAE,CAACA,EAAE2rD,GAAG3rD,CAAC,EAAE,IAAIZ,EAAEY,EAAE,MAAM,EAAE,OAAOZ,EAAEA,EAAE,OAAO,GAAG,KAAK,MAAMA,CAAC,CAAC,KAAKY,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,KAAK,eAAe3yB,EAAEZ,CAAC,EAAE,IAAI,EAAEssD,GAAG1rD,CAAC,EAAEP,EAAEinD,GAAG,KAAK,WAAW,aAAa,CAAC,EAAEzlD,EAAE,OAAOxB,GAAG,KAAKwB,EAAEooD,GAAG,EAAE,KAAK,OAAO,KAAK,EAAE5pD,EAAE,KAAK,KAAK,KAAK,KAAK,KAAK,EAAE,IAAI,GAAGwB,EAAEooD,GAAG,EAAE,KAAK,OAAO,KAAK,CAAC,EAAE,KAAK,MAAM,OAAOpoD,EAAEwoD,GAAGxoD,EAAE,KAAK,KAAK,KAAK,CAAC,GAAG,KAAK,YAAY,OAAOA,EAAE,KAAK,WAAW,MAAMA,CAAC,IAAIA,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIjB,EAAE,CAAC,MAAM,KAAK,MAAM,WAAW87D,GAAG,KAAK,UAAU,EAAE,QAAQ,KAAK,QAAQ,kBAAkBxQ,GAAG,KAAK,iBAAiB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,kBAAkBiR,GAAG,KAAK,iBAAiB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,iBAAiBnO,GAAG,KAAK,gBAAgB,EAAE,eAAeA,GAAG,KAAK,cAAc,CAAC,EAAEhvD,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEq/D,GAAG,UAAU,QAAQ1oC,GAAE,cAAc0oC,EAAE,EAAE,IAAIC,GAAG,cAAc/S,EAAE,CAAC,YAAYvsD,EAAE,CAACA,EAAEA,GAAG,CAAC,EAAE,MAAMA,CAAC,EAAE,KAAK,UAAU,CAAC,CAAC,QAAQ,CAAC,CAAC,EAAE,KAAK,WAAWA,EAAE,UAAU,CAAC,mBAAmBA,EAAE,CAACA,EAAE2rD,GAAG3rD,CAAC,EAAE,QAAQZ,KAAKY,EAAE,MAAM,CAAC,EAAE,GAAGZ,GAAG,KAAK,MAAM,IAAI8lD,EAAE,iEAAiEllD,EAAE,MAAM,CAAC,kHAAkH,EAAE,MAAM,CAACA,EAAE,GAAGkoD,GAAGloD,EAAE,CAAC,CAAC,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,KAAK,eAAe3yB,EAAEZ,CAAC,EAAE,IAAI,EAAEssD,GAAG1rD,CAAC,EAAE,GAAG,KAAK,aAAa,iBAAiB,EAAE,KAAK,EAAE,CAAC,IAAIP,EAAE,CAAC,CAAC,EAAE,QAAQwB,EAAE,EAAEA,EAAE,EAAE,KAAK,EAAEA,EAAExB,EAAE,KAAKwB,CAAC,EAAExB,EAAE,KAAK,CAAC,EAAE,EAAEs0B,GAAG,EAAEt0B,CAAC,CAAC,CAAC,OAAOqpD,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAI9oD,EAAE,CAAC,EAAE,KAAK,YAAY,OAAOA,EAAE,WAAW,KAAK,YAAY,IAAIZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEs/D,GAAG,UAAU,UAAU3oC,GAAE,cAAc2oC,EAAE,EAAE,IAAIC,GAAG,cAAchT,EAAE,CAAC,YAAYvsD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,gBAAgB,GAAG,KAAK,WAAWg8D,GAAGh8D,EAAE,UAAU,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,KAAK,eAAe3yB,EAAEZ,CAAC,EAAE,IAAI,EAAEssD,GAAG1rD,CAAC,EAAE,OAAO,KAAK,WAAW,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,WAAW87D,GAAG,KAAK,UAAU,CAAC,EAAE18D,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEu/D,GAAG,UAAU,aAAa5oC,GAAE,cAAc4oC,EAAE,EAAE,IAAIC,GAAG,cAAcjT,EAAE,CAAC,YAAYvsD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,EAAEA,EAAE,EAAE,KAAK,UAAU,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAAC,MAAM,CAACA,EAAE,GAAG,KAAK,EAAEA,EAAE,EAAE,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,KAAK3yB,EAAE0rD,GAAG1rD,CAAC,EAAE2oD,GAAG3oD,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,EAAE,KAAK,CAAC,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEw/D,GAAG,UAAU,eAAe7oC,GAAE,cAAc6oC,EAAE,EAAE,IAAIC,GAAG,cAAclT,EAAE,CAAC,YAAYvsD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,YAAYA,EAAE,YAAY,QAAQZ,EAAE,EAAEA,EAAE,KAAK,YAAY,OAAO,EAAEA,EAAE,KAAK,UAAU,KAAK,YAAYA,EAAE,IAAI,KAAK,YAAYA,GAAG,KAAK,CAAC,UAAUY,EAAE,CAAC,OAAOA,EAAE,GAAGA,GAAG,IAAI,CAAC,oBAAoBA,EAAEZ,EAAE,CAAC,IAAI,EAAE,6CAA6CK,EAAEL,EAAE,MAAM,EAAE6B,EAAE,EAAEC,EAAE,KAAK,QAAQE,EAAE,EAAEA,EAAE3B,EAAE,OAAO,EAAE2B,EAAE,CAAC,IAAI,EAAE3B,EAAE2B,GAAG,GAAG,KAAK,UAAU,CAAC,EAAE,GAAGF,IAAI,KAAKA,EAAEE,MAAO,OAAM,IAAI8jD,EAAE,0CAA0C,OAAOjkD,GAAG,CAAC,CAAC,IAAIE,EAAE+mD,GAAGloD,CAAC,EAAE,GAAGkB,IAAI,KAAK,CAAC,GAAGD,IAAI,GAAGE,EAAEF,IAAI,EAAE,MAAM,IAAIikD,EAAE,CAAC,EAAEzlD,EAAEyB,GAAGC,EAAEF,CAAC,SAASE,IAAIF,EAAE,MAAM,IAAIikD,EAAE,CAAC,EAAE,OAAOzlD,CAAC,CAAC,mBAAmBO,EAAE,CAAC,IAAIZ,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAEY,EAAE,OAAO,EAAE,EAAE,GAAG,KAAK,UAAUA,EAAE,EAAE,EAAE,CAACZ,EAAE,GAAG,KAAK,CAAC,OAAOA,EAAEY,EAAE,MAAM,EAAE,CAAC,EAAE,OAAO,KAAK,WAAW,EAAEA,EAAE,MAAM,EAAE,CAAC,EAAE,OAAO,KAAK,oBAAoBA,EAAE,MAAM,CAAC,EAAE,KAAK,WAAW,CAAC,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,KAAK,eAAe3yB,EAAEZ,CAAC,EAAE,IAAI,EAAEssD,GAAG1rD,CAAC,EAAEP,EAAE,EAAE,MAAMwB,EAAExB,EAAE,MAAM,EAAE,CAAC,EAAE,OAAO,KAAK,oBAAoBA,EAAE,MAAM,CAAC,EAAE,KAAK,WAAW,CAAC,EAAE,OAAO27B,EAAE,EAAEn6B,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIjB,EAAE,CAAC,YAAY,KAAK,WAAW,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEy/D,GAAG,UAAU,UAAU9oC,GAAE,cAAc8oC,EAAE,EAAE,IAAIC,GAAG,cAAcnT,EAAE,CAAC,YAAYvsD,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAEA,EAAE,MAAM,KAAK,MAAM,IAAI,MAAM,iFAAiF,EAAE,GAAG,CAAC,MAAM,QAAQA,EAAE,IAAI,EAAE,MAAM,IAAI,MAAM,sEAAsEA,EAAE,eAAe,EAAE,IAAIZ,EAAEipD,GAAG,EAAEroD,EAAE,KAAK,OAAO,CAAC,EAAE,GAAG,CAACgmB,EAAE,YAAYhmB,EAAE,KAAK,MAAM,EAAE,KAAK,EAAEZ,CAAC,EAAE,MAAM,IAAI,MAAM,+BAA+B,KAAK,UAAUY,EAAE,IAAI,EAAE,4DAA4D,EAAE,KAAK,KAAKA,EAAE,KAAK,KAAK,mBAAmB,CAAC,CAAC,EAAE,OAAO,KAAK,IAAI,EAAE,KAAK,UAAU,CAAC,IAAIksD,GAAG,CAAC,KAAK,KAAK,KAAK,OAAO,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBlsD,EAAE,CAACA,EAAE2rD,GAAG3rD,CAAC,EAAE,IAAIZ,EAAEY,EAAE,MAAM,EAAE,OAAO,KAAK,KAAK,QAAQ,CAAC,EAAEP,IAAI,CAACL,EAAEK,EAAE,GAAGO,EAAE,EAAE,CAAC,EAAEZ,CAAC,CAAC,KAAKY,EAAEZ,EAAE,CAAC,OAAO20B,GAAG23B,GAAG1rD,CAAC,EAAE,KAAK,kBAAkB,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,KAAK,KAAK,IAAI,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAE0/D,GAAG,UAAU,UAAU/oC,GAAE,cAAc+oC,EAAE,EAAE,IAAIC,GAAG,cAAcpT,EAAE,CAAC,YAAYvsD,EAAE,CAAC,MAAMA,GAAG,KAAK,CAAC,EAAEA,CAAC,EAAE,KAAK,gBAAgB,GAAGA,GAAG,KAAK,KAAK,UAAUA,EAAE,WAAW,KAAK,EAAEA,EAAE,UAAU,KAAK,UAAU,CAAC,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAEZ,EAAE,CAAC,UAAU,KAAK,SAAS,EAAE,OAAO,OAAO,OAAOA,EAAEY,CAAC,EAAEZ,CAAC,CAAC,YAAYY,EAAEZ,EAAE,CAAC,IAAI,EAAEssD,GAAG1rD,CAAC,EAAEP,EAAE,GAAG,OAAOy5B,GAAGqP,GAAG,EAAE,KAAK,SAAS,EAAE9oC,CAAC,CAAC,CAAC,KAAKO,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,KAAK,eAAe3yB,EAAEZ,CAAC,EAAE,IAAI,EAAEssD,GAAG1rD,CAAC,EAAEP,EAAE,GAAGwB,EAAE,GAAGC,EAAEg4B,GAAGqP,GAAG,EAAE,KAAK,SAAS,EAAE9oC,EAAEwB,CAAC,EAAE,OAAOq3B,EAAE,EAAE3I,GAAEzuB,EAAE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEy+D,GAAG,UAAU,UAAUhpC,GAAE,cAAcgpC,EAAE,EAAE,IAAIC,GAAG,cAAcrT,EAAE,CAAC,YAAYvsD,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,WAAW,KAAK,KAAK,+BAA+B,gBAAgBA,EAAE,iBAAiB,MAAMA,EAAE,YAAY,KAAK,CAAC,IAAIZ,EAAE,KAAKY,EAAE,WAAW,OAAOZ,EAAEY,EAAE,WAAWA,EAAE,aAAa,KAAK,KAAK,gBAAgB,CAACZ,EAAE,IAAI,EAAE,KAAK,gBAAgB,CAACA,CAAC,EAAE,OAAOsmD,GAAG1lD,EAAE,WAAW,CAAC,CAAC,CAAC,KAAK,SAASA,EAAE,SAASumD,GAAG,KAAK,SAAS,UAAU,EAAE,KAAK,UAAUvmD,EAAE,UAAUumD,GAAG,KAAK,UAAU,WAAW,EAAE,KAAK,sBAAsBgF,GAAGvrD,EAAE,uBAAuB,KAAK,8BAA8B,EAAE,KAAK,sBAAsBy8D,GAAGz8D,EAAE,qBAAqB,EAAE,KAAK,oBAAoBy8D,GAAGz8D,EAAE,mBAAmB,EAAE,KAAK,qBAAqBsuD,GAAGtuD,EAAE,oBAAoB,EAAE,KAAK,SAASA,EAAE,SAAS,KAAK,gBAAgBA,EAAE,SAAS,KAAK,YAAYA,EAAE,WAAW,CAAC,MAAMA,EAAE,CAAC,KAAK,WAAW,KAAK,UAAU,aAAa,CAAC,KAAK,SAAS,KAAK,SAAS,EAAE,KAAK,MAAM,KAAK,sBAAsB,KAAK,sBAAsB,GAAG,KAAK,oBAAoB,EAAE,KAAK,MAAM,EAAE,CAAC,6BAA6BA,EAAE,CAAC,CAAC,YAAYA,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,KAAK,UAAU3yB,EAAE0rD,GAAG1rD,CAAC,EAAEuoC,GAAGvoC,EAAEsgC,GAAGtgC,CAAC,CAAC,GAAG,IAAI,CAAC,CAAC,mBAAmBA,EAAE,CAAC,GAAGA,EAAE2rD,GAAG3rD,CAAC,EAAE,KAAK,aAAa,KAAK,MAAM,CAAC,GAAGA,EAAE,KAAK,SAAS,EAAE,IAAIZ,EAAEsmD,GAAG,KAAK,WAAW,EAAE,GAAGtmD,EAAE,SAASY,EAAE,OAAO,EAAE,MAAM,IAAIklD,EAAE,oBAAoB,KAAK,mDAAmDllD,GAAG,EAAE,CAAC,IAAI,EAAE,EAAE,QAAQP,EAAE,EAAEA,EAAEL,EAAE,OAAO,EAAEK,EAAE,CAAC,IAAIwB,EAAE7B,EAAEK,GAAGyB,EAAElB,EAAEP,EAAE,GAAG,GAAGwB,GAAG,MAAMC,GAAG,MAAMD,IAAIC,EAAE,MAAM,IAAIgkD,EAAE,oBAAoB,KAAK,mDAAmDllD,GAAG,EAAEiB,GAAG,OAAO7B,EAAE,GAAG8B,GAAG,GAAG,CAAC,CAAC,MAAM,CAAClB,EAAE,GAAG,GAAGZ,EAAE,KAAK,SAAS,CAAC,CAAC,KAAKY,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,KAAK,eAAe3yB,EAAEZ,CAAC,EAAE,IAAI,EAAEssD,GAAG1rD,CAAC,EAAE,EAAE,QAAQ,UAAU,EAAEyoD,GAAG,EAAE,OAAO,GAAG,IAAIhpD,EAAE8pD,GAAG,KAAK,WAAW,KAAK,EAAEnuB,EAAE,EAAE,CAAC,EAAE,IAAI,CAAC,CAAC,EAAE,OAAOA,EAAE37B,EAAEksD,GAAG,KAAK,mBAAmB,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAI3rD,EAAE,CAAC,SAAS,KAAK,SAAS,UAAU,KAAK,UAAU,sBAAsBsrD,GAAG,KAAK,qBAAqB,EAAE,sBAAsBiR,GAAG,KAAK,qBAAqB,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,qBAAqBnO,GAAG,KAAK,oBAAoB,EAAE,SAAS,KAAK,SAAS,YAAY,KAAK,WAAW,EAAEhvD,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAE4/D,GAAG,UAAU,YAAYjpC,GAAE,cAAcipC,EAAE,EAAE,IAAIC,GAAG,cAActT,EAAE,CAAC,YAAYvsD,EAAE,CAAC,MAAMA,GAAG,CAAC,CAAC,EAAE,KAAK,gBAAgB,EAAE,CAAC,cAAcA,EAAE,CAAC,MAAM,IAAImlD,EAAE,CAAC,gCAAgCnlD,EAAEZ,EAAE,CAAC,GAAGY,GAAG,MAAMZ,GAAG,KAAK,OAAO,KAAK,GAAGY,EAAE,OAAOZ,EAAE,OAAO,OAAO,KAAK,gCAAgCA,EAAEY,CAAC,EAAE,GAAGZ,EAAE,SAAS,EAAE,OAAOY,EAAE,IAAI,EAAEA,EAAE,MAAM,EAAEA,EAAE,OAAOZ,EAAE,MAAM,EAAE,QAAQK,EAAE,EAAEA,EAAEL,EAAE,OAAO,EAAEK,EAAE,CAAC,IAAIwB,EAAEjB,EAAEA,EAAE,OAAOZ,EAAE,OAAOK,GAAGyB,EAAE9B,EAAEK,GAAG,GAAGwB,GAAG,MAAMC,GAAG,MAAMD,EAAE,GAAGC,EAAE,EAAE,EAAE,KAAK,IAAI,UAAUD,IAAI,EAAE,EAAE,KAAKC,CAAC,UAAUA,IAAI,EAAE,EAAE,KAAKD,CAAC,MAAM,CAAC,GAAGA,IAAIC,EAAE,MAAM,IAAIgkD,EAAE,wDAAwD,KAAK,UAAUllD,CAAC,EAAE,IAAI,KAAK,UAAUZ,CAAC,CAAC,EAAE,EAAE,KAAK6B,CAAC,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,MAAMjB,EAAE,CAAC,GAAG,MAAM,QAAQA,CAAC,GAAG,CAAC,MAAM,QAAQA,EAAE,EAAE,IAAIA,EAAE,CAAC2rD,GAAG3rD,CAAC,CAAC,GAAGA,EAAEA,EAAEA,EAAE,OAAO,EAAE,MAAM,IAAIklD,EAAE,wEAAwEllD,EAAE,kBAAkB,EAAE,IAAIZ,EAAE,CAAC,EAAE,QAAQ6B,KAAKjB,EAAEiB,GAAG,MAAMA,EAAE,KAAK,MAAM7B,EAAE,KAAK6B,EAAE,EAAE,EAAE,GAAG7B,EAAE+mD,GAAG/mD,CAAC,EAAEA,EAAE,OAAO,EAAE,MAAM,IAAI8lD,EAAE,8EAA8E,KAAK,UAAUllD,CAAC,IAAI,EAAE,IAAI,EAAEA,EAAE,IAAI,KAAK,KAAKA,EAAE,GAAG,MAAM,CAAC,EAAE,QAAQiB,EAAE,EAAEA,EAAEjB,EAAE,OAAO,EAAEiB,EAAE,CAAC,IAAIC,EAAElB,EAAEiB,IAAI,KAAK,KAAKjB,EAAEiB,GAAG,MAAM,CAAC,EAAE,EAAE,KAAK,gCAAgC,EAAEC,CAAC,CAAC,CAAC,IAAIzB,EAAEO,EAAE,IAAIiB,GAAGA,EAAE,MAAM,EAAEjB,EAAE,QAAQ,IAAI,IAAI,IAAImmD,GAAG1mD,CAAC,EAAE,SAAS,EAAE,KAAK,gBAAgB,GAAG,KAAK,gBAAgB,EAAE,CAAC,KAAKO,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,GAAG3yB,EAAEA,EAAE,KAAK,gBAAgB,CAAC,IAAI,EAAE,CAAC,EAAEP,EAAEO,EAAE,IAAIiB,GAAGA,EAAE,IAAI,EAAE,GAAGxB,EAAE,QAAQ,IAAI,IAAI,GAAG,CAAC,IAAIwB,EAAEmnD,GAAG3oD,CAAC,EAAE,QAAQyB,KAAKlB,EAAE,CAAC,IAAImB,EAAED,EAAE,KAAK,QAAQE,EAAE,EAAEA,EAAEH,EAAEE,EAAE,EAAEC,EAAEF,EAAEwnD,GAAGxnD,EAAE,CAAC,EAAE,EAAE,KAAKA,CAAC,CAAC,CAAC,OAAO,KAAK,cAAc,CAAC,CAAC,KAAK,CAAC,IAAID,EAAE,GAAG,QAAQG,KAAKpB,EAAE,CAAC,IAAI,EAAEoB,EAAE,KAAK,GAAG,GAAG,KAAK,CAAC,IAAIU,EAAEV,EAAE,MAAM,EAAEU,EAAE,GAAGE,EAAEF,EAAE,MAAM,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,EAAEG,EAAEm5B,EAAEh6B,EAAE,CAAC,CAAC,EAAE,OAAO8mD,GAAGpmD,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,EAAEG,EAAE8xB,GAAG9xB,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEA,EAAEm5B,EAAEn5B,EAAED,CAAC,EAAE,EAAE,KAAKC,CAAC,EAAEhB,EAAE,EAAE,SAAS,EAAE,EAAE,CAAC,IAAIa,EAAEumD,GAAG,EAAE,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,EAAE,EAAE,KAAKt0B,GAAG3yB,EAAEU,CAAC,CAAC,EAAEb,EAAE,EAAE,MAAM,EAAE,KAAKG,CAAC,CAAC,CAAC,IAAIF,EAAE,KAAK,cAAc,CAAC,EAAEC,EAAED,EAAE,KAAK,GAAGD,GAAG,GAAGE,GAAG,KAAK,CAAC,IAAIC,EAAEF,EAAE,MAAM,EAAEE,EAAE,OAAOU,EAAEV,EAAE,EAAE,GAAG,EAAE,CAACU,CAAC,EAAE,OAAOV,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,CAAC,EAAEF,EAAEk6B,EAAErH,GAAGqH,EAAEl6B,EAAE,CAAC,GAAGY,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,SAASX,EAAE,EAAE,CAAC,IAAIC,EAAE,CAACD,EAAE,CAAC,EAAE,OAAOknD,GAAG,EAAElnD,EAAE,CAAC,CAAC,EAAED,EAAE6yB,GAAG7yB,EAAEE,CAAC,CAAC,EAAE,OAAOF,CAAC,CAAC,KAAM,QAAO,KAAK,cAAclB,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAACA,EAAEA,EAAE,IAAIZ,EAAEY,EAAE,IAAI,KAAKZ,EAAE,KAAKA,EAAEY,EAAE,GAAG,MAAM,CAAC,EAAE,QAAQP,EAAE,EAAEA,EAAEO,EAAE,OAAO,EAAEP,EAAE,CAAC,IAAIwB,EAAEjB,EAAEP,IAAI,KAAK,KAAKO,EAAEP,GAAG,MAAM,CAAC,EAAEL,EAAE,KAAK,gCAAgCA,EAAE6B,CAAC,CAAC,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQxB,KAAKO,EAAEP,GAAG,MAAMA,EAAE,KAAK,MAAM,EAAE,KAAKA,EAAE,EAAE,EAAE,OAAO,EAAE0mD,GAAG,CAAC,EAAE,EAAE,SAAS,EAAE/mD,EAAE,EAAE,OAAOA,CAAC,EAAEA,EAAE,CAAC,IAAI,EAAE,OAAOA,CAAC,EAAEA,CAAC,CAAC,YAAYY,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,GAAGvzB,GAAG,KAAK,OAAO,KAAK,GAAG,CAAC,MAAM,QAAQA,CAAC,EAAE,MAAM,IAAI8lD,EAAE,2BAA2B,EAAE,GAAG,CAAC,MAAM,QAAQllD,CAAC,EAAE,MAAM,IAAIklD,EAAE,6BAA6B,EAAE,GAAG9lD,EAAE,SAASY,EAAE,OAAO,MAAM,IAAIklD,EAAE,mGAAmGllD,EAAE,aAAaZ,EAAE,SAAS,EAAE,GAAGA,EAAE,MAAMK,GAAGA,GAAG,IAAI,EAAE,OAAO,KAAKL,EAAEA,EAAE,IAAIK,GAAGA,GAAG,KAAKA,EAAEqjC,GAAGrjC,EAAE,CAAC,CAAC,EAAE,IAAI,EAAEL,EAAE,GAAG,QAAQK,EAAE,EAAEA,EAAEL,EAAE,OAAO,EAAE,EAAEK,EAAE,EAAEymC,GAAG,EAAE9mC,EAAEK,EAAE,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,EAAEqgE,GAAG,cAAcD,EAAE,CAAC,YAAY7/D,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,cAAcA,EAAE,CAAC,OAAO2yB,EAAE,IAAI,CAAC,IAAIvzB,EAAEY,EAAE,GAAG,MAAM,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEZ,EAAE44B,EAAE54B,EAAEY,EAAE,EAAE,EAAE,OAAOZ,CAAC,CAAC,CAAC,CAAC,EAAE0gE,GAAG,UAAU,MAAMnpC,GAAE,cAAcmpC,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAY7/D,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,cAAcA,EAAE,CAAC,OAAO2yB,EAAE,IAAI,CAAC,IAAIvzB,EAAEY,EAAE,GAAG,MAAM,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEZ,EAAEk5B,EAAEl5B,EAAEY,EAAE,EAAE,EAAE,OAAOZ,CAAC,CAAC,CAAC,CAAC,EAAE2gE,GAAG,UAAU,WAAWppC,GAAE,cAAcopC,EAAE,EAAE,IAAIC,GAAG,cAAcH,EAAE,CAAC,YAAY7/D,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,cAAcA,EAAE,CAAC,OAAO2yB,EAAE,IAAI,CAAC,IAAIvzB,EAAEY,EAAE,GAAG,MAAM,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEZ,EAAE44B,EAAE54B,EAAEY,EAAE,EAAE,EAAE,OAAOs4B,EAAE,EAAEt4B,EAAE,OAAOZ,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE4gE,GAAG,UAAU,UAAUrpC,GAAE,cAAcqpC,EAAE,EAAE,IAAIC,GAAG,cAAcJ,EAAE,CAAC,YAAY7/D,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,cAAcA,EAAE,CAAC,OAAO2yB,EAAE,IAAI,CAAC,IAAIvzB,EAAEY,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEZ,EAAEgoC,GAAGhoC,EAAEY,EAAE,EAAE,EAAE,OAAOZ,CAAC,CAAC,CAAC,CAAC,EAAE6gE,GAAG,UAAU,UAAUtpC,GAAE,cAAcspC,EAAE,EAAE,IAAIC,GAAG,cAAcL,EAAE,CAAC,YAAY7/D,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,cAAcA,EAAE,CAAC,OAAO2yB,EAAE,IAAI,CAAC,IAAIvzB,EAAEY,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEZ,EAAEuoC,GAAGvoC,EAAEY,EAAE,EAAE,EAAE,OAAOZ,CAAC,CAAC,CAAC,CAAC,EAAE8gE,GAAG,UAAU,UAAUvpC,GAAE,cAAcupC,EAAE,EAAE,IAAIC,GAAG,cAAcN,EAAE,CAAC,YAAY7/D,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,aAAa,GAAGA,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,KAAKA,EAAE,MAAM,KAAK,KAAK,aAAaA,EAAE,KAAK,KAAK,gBAAgB,GAAG,KAAK,gBAAgB,EAAE,CAAC,MAAMA,EAAE,CAAC,GAAG,EAAE,MAAM,QAAQA,CAAC,GAAG,MAAM,QAAQA,EAAE,EAAE,IAAIA,EAAE,SAAS,EAAE,MAAM,IAAIklD,EAAE,uEAAuE,EAAEllD,EAAEA,EAAE,IAAIZ,EAAE,GAAG,QAAQK,KAAKO,EAAE,GAAGP,GAAG,KAAK,CAACL,EAAE,GAAG,KAAK,CAAC,GAAGA,EAAE,OAAO,IAAI,EAAE,CAAC,EAAE,QAAQK,EAAE,EAAEA,EAAEO,EAAE,OAAO,EAAEP,EAAE,CAAC,IAAIwB,EAAEjB,EAAEP,GAAG,MAAM,EAAEwB,EAAE,OAAO,KAAK,KAAK,CAAC,EAAE,IAAIC,EAAE,GAAG,QAAQC,KAAK,EAAE,GAAG6kB,EAAE,YAAY7kB,EAAEF,CAAC,EAAE,CAACC,EAAE,GAAG,KAAK,CAACA,GAAG,EAAE,KAAKD,CAAC,CAAC,CAAC,GAAG,EAAE,OAAO,EAAE,MAAM,IAAIikD,EAAE,4GAA4G,KAAK,UAAUllD,CAAC,CAAC,CAAC,CAAC,cAAcA,EAAE,CAAC,OAAO2yB,EAAE,IAAIu2B,GAAGlpD,EAAE,KAAK,IAAI,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAAC,GAAG,EAAE,MAAM,QAAQA,CAAC,GAAG,MAAM,QAAQA,EAAE,EAAE,GAAG,MAAM,IAAIklD,EAAE,6DAA6D,EAAE,IAAI9lD,EAAEY,EAAE,EAAEZ,EAAE,GAAG,MAAM,EAAEK,EAAE,KAAK,KAAK,EAAE,EAAE,OAAO,KAAK,KAAK,KAAK,KAAK,QAAQwB,KAAK7B,EAAE,MAAM,CAAC,EAAE,CAAC,GAAG,EAAEK,IAAI,MAAMwB,EAAExB,IAAI,KAAK,CAAC,EAAEA,GAAG,KAAK,KAAK,CAAC,EAAEA,IAAIwB,EAAExB,EAAE,CAAC,OAAO,CAAC,CAAC,YAAYO,EAAEZ,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,KAAK,GAAG,CAAC,MAAM,QAAQA,CAAC,EAAE,MAAM,IAAI8lD,EAAE,2CAA2C,EAAE,GAAG,CAAC,MAAM,QAAQllD,CAAC,EAAE,MAAM,IAAIklD,EAAE,6CAA6C,EAAE,GAAG9lD,EAAE,SAASY,EAAE,OAAO,MAAM,IAAIklD,EAAE,mCAAmC9lD,EAAE,qCAAqCY,EAAE,SAAS,EAAE,OAAO2yB,EAAE,IAAI,CAAC,IAAI,EAAE,GAAG,GAAGvzB,EAAE,QAAQ8B,GAAG,CAAC,GAAGA,GAAG,KAAK,CAAC,EAAE,GAAG,MAAM,CAAC,CAAC,EAAE,EAAE,OAAO,KAAK,IAAIzB,EAAE,CAAC,EAAE,QAAQyB,EAAE,EAAEA,EAAElB,EAAE,OAAO,EAAEkB,EAAE9B,EAAE8B,IAAI,KAAKzB,EAAE,KAAKkwB,GAAE8Y,GAAGzoC,EAAEkB,EAAE,EAAE,MAAM,CAAC,EAAE9B,EAAE8B,GAAG,KAAKlB,EAAEkB,GAAG,KAAKzB,EAAE,KAAKqjC,GAAG1jC,EAAE8B,GAAG,EAAE,CAAC,EAAEzB,EAAE,KAAKL,EAAE8B,EAAE,EAAE,IAAID,EAAEy6B,GAAGj8B,EAAE,KAAK,IAAI,EAAE,OAAOu5B,GAAG/3B,EAAE,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIjB,EAAE,CAAC,KAAK,KAAK,IAAI,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEmgE,GAAG,UAAU,cAAcxpC,GAAE,cAAcwpC,EAAE,EAAE,SAASC,GAAGlhE,EAAE,EAAE,CAAC,KAAKA,EAAE,GAAGA,GAAG,EAAE,OAAOA,CAAC,CAAC,SAASmhE,GAAGnhE,EAAE,EAAEE,EAAE,CAAC,GAAGF,EAAE,MAAM,OAAO,GAAG,EAAE,MAAM,OAAO,EAAE,MAAM,IAAIimD,GAAG,kEAAkE,EAAE,GAAGn/B,EAAE,OAAO9mB,EAAE,MAAM,QAAQ,EAAE,IAAI,uDAAuDA,EAAE,MAAM,QAAQ,EAAE8mB,EAAE,OAAO9mB,EAAE,MAAM,QAAQ,EAAE,IAAI,uDAAuD,EAAE,MAAM,QAAQ,EAAE,OAAOE,GAAG,WAAWA,EAAE,CAACA,EAAEA,CAAC,GAAGF,EAAE,QAAQ,aAAa,EAAE,QAAQ,YAAY,MAAM,IAAIimD,GAAG,6DAA6D,EAAE,IAAI3lD,EAAEN,EAAE,MAAM,OAAOO,EAAE,EAAE,MAAM,OAAOL,GAAG,OAAOA,EAAE,CAACI,EAAE,EAAEC,EAAE,CAAC,GAAG,IAAI,EAAEL,EAAE,OAAOuzB,EAAE,IAAI,CAAC,IAAI,EAAE,GAAGnzB,EAAEC,EAAE,CAAC,EAAED,EAAEC,EAAE,IAAI2B,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAED,EAAE,KAAK,CAAC,EAAE,EAAEg6B,EAAE,EAAE,EAAE,MAAM,OAAOh6B,CAAC,CAAC,CAAC,SAAS3B,EAAED,EAAE,CAAC,EAAEC,EAAED,EAAE,IAAI4B,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAED,EAAE,KAAK,CAAC,EAAElC,EAAEk8B,EAAEl8B,EAAEA,EAAE,MAAM,OAAOkC,CAAC,CAAC,CAAC,MAAM,EAAE,EAAE,IAAID,EAAE,GAAGjC,EAAE,MAAM,SAAS,GAAG,EAAE,MAAM,SAAS,EAAE,EAAE,KAAK,EAAE,GAAGiC,EAAEkhC,GAAG/J,EAAEp5B,EAAE,CAAC,EAAE,EAAE,EAAE,EAAEiC,EAAEkhC,GAAG/J,EAAEvE,GAAG70B,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,EAAE,EAAE,MAAM,CAAC,IAAIkC,EAAE,EAAE,KAAKlC,EAAE,MAAM,OAAO,EAAEmC,EAAE,EAAE,KAAK,EAAE,MAAM,OAAO,EAAEF,EAAE6wB,GAAG9yB,EAAE,EAAEkC,EAAEC,CAAC,CAAC,CAAC,GAAG,EAAE,EAAE,CAAC,IAAID,EAAE5B,EAAEC,EAAE2B,EAAE5B,EAAEC,EAAE,EAAE2B,EAAE5B,EAAE,EAAE,IAAI6B,EAAE,CAAC,EAAE,QAAQS,EAAEV,EAAEU,EAAEV,EAAE,EAAE,EAAEU,EAAET,EAAE,KAAKS,CAAC,EAAEX,EAAEytC,GAAGztC,EAAEE,CAAC,CAAC,CAAC,OAAOF,EAAE,MAAM,SAAS,IAAIA,EAAE2hC,GAAG3hC,EAAE,CAAC,GAAGA,CAAC,CAAC,CAAC,CAAC,IAAIm/D,GAAG,cAAcT,EAAE,CAAC,YAAY7/D,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,KAAKA,EAAE,KAAK,KAAK,UAAUA,EAAE,WAAW,KAAK,GAAGA,EAAE,UAAU,KAAK,gBAAgB,GAAG,KAAK,gBAAgB,EAAE,CAAC,MAAMA,EAAE,CAACgmB,EAAE,OAAO,MAAM,QAAQhmB,CAAC,GAAGA,EAAE,SAAS,GAAG,MAAM,QAAQA,EAAE,EAAE,GAAG,MAAM,QAAQA,EAAE,EAAE,EAAE,IAAI,+DAA+D,EAAE,IAAIZ,EAAEY,EAAE,GAAG,EAAEA,EAAE,GAAG,GAAGZ,EAAE,OAAO,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI+lD,GAAG,8DAA8D,EAAE,IAAI1lD,EAAE,KAAK,cAAcL,EAAE,CAAC,EAAE,GAAGA,EAAEK,EAAE,MAAM,EAAEA,EAAE,IAAI,MAAM,IAAIylD,EAAE,8BAA8B9lD,EAAEK,EAAE,WAAW,EAAEA,EAAE,KAAK,CAAC,CAAC,cAAcO,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAIklD,EAAE,oEAAoEllD,EAAE,kBAAkB,EAAE,IAAIZ,EAAEY,EAAE,GAAG,EAAEA,EAAE,GAAGP,EAAE,OAAO,MAAM,QAAQ,KAAK,IAAI,EAAEA,EAAE,KAAK,KAAK,IAAI,CAACwB,EAAEC,IAAIk/D,GAAGn/D,EAAEjB,EAAEkB,GAAG,MAAM,MAAM,CAAC,EAAEzB,EAAE,CAAC2gE,GAAG,KAAK,KAAKhhE,EAAE,MAAM,MAAM,EAAEghE,GAAG,KAAK,KAAK,EAAE,MAAM,MAAM,CAAC,EAAE,KAAK,YAAYhhE,EAAE81D,GAAG91D,EAAEK,EAAE,EAAE,EAAE,EAAEy1D,GAAG,EAAEz1D,EAAE,EAAE,GAAG4gE,GAAGjhE,EAAE,EAAEK,CAAC,CAAC,CAAC,cAAcO,EAAEZ,EAAE,CAAC,IAAI,EAAE,OAAO,MAAM,QAAQ,KAAK,IAAI,EAAE,EAAE,KAAK,KAAK,EAAE,CAACghE,GAAG,KAAK,KAAKpgE,EAAE,MAAM,EAAEogE,GAAG,KAAK,KAAKhhE,EAAE,MAAM,CAAC,EAAE,CAAC,CAAC,mBAAmBY,EAAE,CAACgmB,EAAE,OAAO,MAAM,QAAQhmB,CAAC,GAAGA,EAAE,SAAS,GAAG,MAAM,QAAQA,EAAE,EAAE,GAAG,MAAM,QAAQA,EAAE,EAAE,EAAE,IAAI,+DAA+D,EAAE,IAAIZ,EAAEY,EAAE,GAAG,MAAM,EAAE,EAAEA,EAAE,GAAG,MAAM,EAAE,GAAGZ,EAAE,OAAO,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI+lD,GAAG,8DAA8D,EAAE,IAAI1lD,EAAE,KAAK,cAAcL,EAAE,CAAC,EAAEA,EAAE,OAAOK,EAAE,GAAG,CAAC,EAAE,EAAE,OAAOA,EAAE,GAAG,CAAC,EAAE,EAAE,OAAO,EAAE,CAAC,EAAE,IAAIwB,EAAE7B,EAAE,OAAO,CAAC,EAAE,OAAO6B,EAAE,SAAS,GAAGA,EAAE,KAAK,CAAC,EAAEA,CAAC,CAAC,YAAYjB,EAAEZ,EAAE,CAAC,OAAO,IAAI,CAAC,WAAW,CAAC,IAAIY,EAAE,CAAC,KAAK,KAAK,KAAK,UAAU,KAAK,SAAS,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEsgE,GAAG,UAAU,MAAM3pC,GAAE,cAAc2pC,EAAE,EAAE,IAAIC,GAAG,cAAchU,EAAE,CAAC,YAAYvsD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,gBAAgB,GAAG,KAAK,OAAOA,EAAE,MAAM,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAEZ,EAAE,CAAC,OAAO,KAAK,MAAM,EAAE,OAAO,OAAO,OAAOA,EAAEY,CAAC,EAAEZ,CAAC,CAAC,KAAKY,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,KAAK,eAAe3yB,EAAEZ,CAAC,EAAE,IAAI,EAAEssD,GAAG1rD,CAAC,EAAE,OAAO8pD,GAAG,IAAI9xB,EAAEoxB,GAAG,EAAE,MAAM,EAAE,KAAK,MAAM,EAAE,CAAC,EAAE,IAAI,EAAEhqD,EAAE,UAAU,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEmhE,GAAG,UAAU,gBAAgB5pC,GAAE,cAAc4pC,EAAE,EAAE,IAAIC,GAAG,cAAcjU,EAAE,CAAC,YAAYvsD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,gBAAgB,GAAG,KAAK,KAAKA,EAAE,IAAI,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAEZ,EAAE,CAAC,KAAK,KAAK,IAAI,EAAE,OAAO,OAAO,OAAOA,EAAEY,CAAC,EAAEZ,CAAC,CAAC,KAAKY,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,KAAK,eAAe3yB,EAAEZ,CAAC,EAAE,IAAI,EAAEssD,GAAG1rD,CAAC,EAAE,OAAO,KAAK,KAAK,GAAG,KAAK,KAAK,EAAE8pD,GAAG,IAAI,CAAC,IAAI7oD,EAAE,KAAK,KAAK,KAAK,MAAM,EAAE,KAAK,KAAK,EAAE,OAAOq3B,EAAE,EAAE8wB,GAAG,EAAE,MAAM,EAAEnoD,CAAC,CAAC,CAAC,EAAE,IAAI,EAAE7B,EAAE,UAAU,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEohE,GAAG,UAAU,kBAAkB7pC,GAAE,cAAc6pC,EAAE,EAAE,IAAIC,GAAG,cAAclU,EAAE,CAAC,YAAYvsD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,gBAAgB,GAAG,KAAK,KAAKA,EAAE,KAAK,KAAK,WAAWA,EAAE,UAAU,CAAC,eAAeA,EAAE,CAAC,OAAO,KAAK,YAAY0rD,GAAG1rD,CAAC,EAAE,KAAK,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAEZ,EAAE,CAAC,KAAK,KAAK,IAAI,EAAE,OAAO,OAAO,OAAOA,EAAEY,CAAC,EAAEZ,CAAC,CAAC,KAAKY,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,GAAG,KAAK,KAAK,GAAG,KAAK,KAAK,EAAE,CAAC,IAAI,EAAE,KAAK,eAAe3yB,CAAC,EAAE,OAAO8pD,GAAG,IAAI,CAAC,IAAI7oD,EAAEyqD,GAAG1rD,CAAC,EAAEkB,EAAE,mBAAmBC,EAAE,mBAAmBC,EAAE,CAACF,EAAEC,EAAEE,EAAEuiC,GAAGuH,GAAG,CAAC,EAAE,KAAK,IAAI,EAAE9pC,EAAEonD,GAAGpnD,EAAE,SAAS,EAAE,IAAIS,IAAI,EAAE,KAAK,OAAO,EAAE,KAAK,KAAKV,GAAG,KAAK,IAAIW,EAAE,CAACD,EAAEV,EAAE,KAAK,KAAKY,EAAEg2B,EAAEM,EAAEr3B,EAAEI,CAAC,EAAEi3B,EAAEN,EAAE32B,EAAE,EAAE,EAAED,CAAC,CAAC,EAAE,OAAO42B,EAAEM,EAAEt2B,EAAEF,CAAC,EAAEC,CAAC,CAAC,EAAE,IAAI2pD,GAAG1rD,CAAC,EAAEZ,EAAE,UAAU,EAAE,CAAC,CAAC,OAAOY,CAAC,CAAC,CAAC,CAAC,EAAEygE,GAAG,UAAU,eAAe9pC,GAAE,cAAc8pC,EAAE,EAAE,SAASC,GAAGxhE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,KAAK,CAAC,IAAI,EAAE,GAAGP,EAAE,OAAO,EAAE,EAAEu9B,GAAGv9B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,UAAUP,EAAE,OAAO,EAAE,EAAEy9B,GAAGz9B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,UAAUP,EAAE,OAAO,EAAE,EAAE29B,GAAG39B,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,MAAO,OAAM,IAAI0lD,GAAG,2DAA2DjmD,EAAE,UAAU,EAAE,OAAO,CAAC,CAAC,SAASyhE,GAAGzhE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,KAAK,CAAC,OAAOkzB,EAAE,IAAI,CAAC,IAAI,EAAEsV,GAAG/oC,EAAEM,CAAC,EAAE,EAAE,EAAE,KAAK2B,EAAE,EAAE,SAAS,MAAM,CAACu/D,GAAGxhE,EAAE,EAAEiC,EAAE/B,EAAE,EAAEK,CAAC,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,CAAC,SAASy/D,GAAG1hE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,KAAK,CAAC,OAAOkzB,EAAE,IAAI,CAAC,IAAI,EAAEsV,GAAG/oC,EAAEM,CAAC,EAAE,EAAE,EAAE,KAAK2B,EAAE,EAAE,SAASC,EAAE,CAAC,EAAE,QAAQc,KAAKmmD,GAAG,EAAEnpD,EAAE,IAAI,EAAEM,EAAE,QAAQ0C,CAAC,IAAI,GAAGd,EAAE,KAAK,CAAC,EAAEA,EAAE,KAAKlC,EAAE,MAAMgD,EAAE,EAAE,IAAIb,EAAE+5B,EAAE,EAAEh6B,CAAC,EAAEU,EAAEs5B,EAAEj6B,EAAEC,CAAC,EAAEW,EAAE,GAAG,KAAK,KAAKq5B,EAAE,EAAEh6B,CAAC,EAAEY,EAAE5C,GAAG,KAAK,KAAKg8B,EAAEh8B,EAAEgC,CAAC,EAAE,MAAM,CAACs/D,GAAGxhE,EAAEmC,EAAES,EAAEE,EAAED,EAAEtC,CAAC,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS0/D,GAAG3hE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,KAAK,CAAC,OAAOumB,EAAE,YAAYxmB,EAAE,MAAM,EAAE,KAAK,EAAE6oD,GAAG,EAAEnpD,EAAE,KAAK,CAAC,CAAC,EAAEyhE,GAAGzhE,EAAE,EAAEE,EAAEI,EAAEC,CAAC,EAAEmhE,GAAG1hE,EAAE,EAAEE,EAAEI,EAAEC,CAAC,CAAC,CAAC,IAAIqhE,GAAG,cAAcvU,EAAE,CAAC,YAAYvsD,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,gBAAgB,GAAG,KAAK,KAAKA,EAAE,MAAM,KAAK,GAAGA,EAAE,KAAK,KAAK,SAASA,EAAE,UAAU,KAAK,IAAIA,EAAE,SAAS,KAAK,QAAQA,EAAE,SAAS,KAAK,KAAKA,EAAE,QAAQ,KAAK,OAAOA,EAAE,QAAQ,KAAK,GAAGA,EAAE,OAAO,KAAK,MAAMA,EAAE,OAAO,KAAK,GAAGA,EAAE,MAAM,KAAK,gBAAgBurD,GAAGvrD,EAAE,iBAAiB,OAAO,EAAE,KAAK,iBAAiBurD,GAAGvrD,EAAE,kBAAkB,MAAM,EAAE,KAAK,sBAAsBurD,GAAGvrD,EAAE,uBAAuB,OAAO,EAAE,KAAK,0BAA0BurD,GAAGvrD,EAAE,2BAA2B,MAAM,EAAE,KAAK,eAAesuD,GAAGtuD,EAAE,cAAc,EAAE,KAAK,gBAAgBsuD,GAAGtuD,EAAE,eAAe,EAAE,KAAK,gBAAgBy8D,GAAGz8D,EAAE,eAAe,EAAE,KAAK,iBAAiBy8D,GAAGz8D,EAAE,gBAAgB,CAAC,CAAC,MAAMA,EAAE,CAACA,EAAE2rD,GAAG3rD,CAAC,EAAE,IAAIZ,EAAE,KAAK,MAAM,EAAE,KAAK,KAAK,KAAK,KAAKY,EAAE,OAAO,EAAEA,EAAEZ,GAAG,GAAG,GAAG,KAAK,MAAM,IAAI8lD,EAAE,QAAQ9lD,gGAAgG,KAAK,UAAUY,CAAC,IAAI,EAAE,KAAK,UAAU,CAAC,IAAIksD,GAAG,CAAC,KAAKlsD,EAAE,OAAO,KAAK,CAAC,CAACZ,GAAG,CAAC,CAAC,CAAC,CAAC,EAAE,IAAIK,EAAE,CAAC,CAAC,EAAE,KAAK,QAAQ,KAAK,MAAM,KAAK,UAAU,QAAQA,EAAE,KAAK,KAAK,iBAAiB,KAAK,iBAAiB,GAAG,KAAK,eAAe,GAAG,KAAK,SAAS,KAAK,KAAK,KAAK,UAAU,OAAOA,EAAE,KAAK,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,GAAG,KAAK,WAAW,KAAK,UAAU,cAAcA,EAAE,KAAK,KAAK,sBAAsB,KAAK,EAAE,EAAE,KAAK,eAAe,KAAK,UAAU,kBAAkBA,EAAE,KAAK,KAAK,0BAA0B,KAAK,EAAE,EAAE,KAAK,MAAM,EAAE,CAAC,KAAKO,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,IAAI,EAAEvzB,EAAE,UAAU,KAAK,GAAGA,EAAE,SAASK,EAAEisD,GAAG1rD,CAAC,EAAEiB,EAAExB,EAAE,MAAMyB,EAAED,EAAE,OAAOE,EAAEknD,GAAG,EAAEnnD,CAAC,EAAEE,EAAE,KAAK,MAAM,EAAE,KAAK,KAAK,KAAK,KAAKF,EAAEC,EAAE,OAAOC,EAAE,CAAC,EAAE,IAAI,EAAEkkD,GAAG,EAAEpkD,CAAC,EAAE,EAAEE,GAAGH,EAAEG,GAAG,IAAIU,EAAEX,EAAE,MAAM,EAAEW,EAAE,KAAK,EAAE,IAAI,EAAE,CAACkkB,EAAE,YAAYlkB,EAAEumD,GAAG,EAAEnnD,CAAC,EAAE,MAAM,EAAEA,EAAE,CAAC,CAAC,EAAEc,EAAE,IAAI,CAAC,GAAG,EAAE,CAAC,IAAIiC,EAAEm3B,EAAE,KAAK,WAAW,KAAK,EAAE,CAAC,EAAEv3B,EAAEu3B,EAAE,KAAK,eAAe,KAAK,EAAE,CAAC,EAAEt3B,EAAE,KAAK,OAAOs3B,EAAE,KAAK,KAAK,KAAK,EAAE,CAAC,EAAE,KAAKr3B,EAAE,KAAK,MAAMq3B,EAAE,KAAK,MAAM,KAAK,EAAE,CAAC,EAAE,KAAK,OAAOslC,GAAGjhE,EAAEwE,EAAEJ,EAAEC,EAAEC,EAAE,KAAK,OAAO,CAAC,KAAM,QAAO28D,GAAGjhE,EAAE,KAAK,WAAW,KAAK,EAAE,KAAK,eAAe,KAAK,EAAE,KAAK,MAAM,KAAK,KAAK,KAAK,KAAK,KAAK,EAAE,KAAK,OAAO,KAAK,KAAK,KAAK,MAAM,KAAK,EAAE,KAAK,OAAO,CAAC,EAAE,GAAG,CAAC,EAAE,OAAOuC,EAAE,EAAE,GAAG,CAACC,EAAEC,EAAEkB,CAAC,EAAEy9D,GAAGphE,EAAE,KAAK,MAAM,KAAK,EAAE,KAAK,KAAK,KAAK,EAAE0B,EAAE,KAAK,OAAO,EAAEkC,EAAE,CAACY,EAAEJ,EAAEC,IAAI,CAAC6uB,EAAE,IAAI,CAAC,IAAI5uB,EAAE,EAAED,EAAEE,EAAEC,EAAE,KAAK,EAAEyC,EAAE4xB,EAAEsN,GAAG5hC,EAAEH,CAAC,EAAEE,CAAC,EAAEE,EAAE,MAAM2hC,GAAG5hC,EAAE0C,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,OAAYrD,EAAE,KAAK,WAAWnB,EAAE,KAAK,QAAQ,EAAEmB,EAAE,KAAK,eAAeD,EAAE,KAAK,QAAQ,EAAMnB,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIjC,EAAE,CAAC,KAAK,KAAK,KAAK,SAAS,KAAK,SAAS,QAAQ,KAAK,QAAQ,OAAO,KAAK,OAAO,MAAM,KAAK,MAAM,gBAAgBsrD,GAAG,KAAK,eAAe,EAAE,iBAAiBA,GAAG,KAAK,gBAAgB,EAAE,sBAAsBA,GAAG,KAAK,qBAAqB,EAAE,0BAA0BA,GAAG,KAAK,yBAAyB,EAAE,gBAAgBiR,GAAG,KAAK,eAAe,EAAE,iBAAiBA,GAAG,KAAK,gBAAgB,EAAE,eAAenO,GAAG,KAAK,cAAc,EAAE,gBAAgBA,GAAG,KAAK,eAAe,CAAC,EAAEhvD,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAE8gE,GAAG,UAAU,qBAAqBnqC,GAAE,cAAcmqC,EAAE,EAAE,IAAIC,GAAG,cAAcxU,EAAE,CAAC,YAAYvsD,EAAE,CAAC,GAAGA,GAAG,OAAOA,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,KAAKA,EAAE,MAAM,KAAK,GAAGA,EAAE,KAAK,OAAO,KAAK,MAAM,UAAU,GAAG,CAAC,OAAO,UAAU,KAAK,IAAI,EAAE,MAAM,IAAI,MAAM,gDAAgD,KAAK,MAAM,UAAU,MAAM,QAAQ,KAAK,IAAI,GAAG,QAAQZ,KAAK,KAAK,KAAK,GAAG,CAAC,OAAO,UAAUA,CAAC,EAAE,MAAM,IAAI,MAAM,0DAA0D,KAAK,UAAU,KAAK,IAAI,GAAG,MAAO,OAAM,IAAI,MAAM,wEAAwE,KAAK,UAAU,KAAK,IAAI,GAAG,EAAE,KAAK,QAAQY,EAAE,SAAS,KAAK,KAAKA,EAAE,QAAQ,KAAK,OAAOA,EAAE,QAAQ,KAAK,GAAGA,EAAE,OAAO,KAAK,MAAMA,EAAE,OAAO,KAAK,GAAGA,EAAE,MAAM,KAAK,gBAAgBurD,GAAGvrD,EAAE,iBAAiB,OAAO,EAAE,KAAK,iBAAiBurD,GAAGvrD,EAAE,kBAAkB,MAAM,EAAE,KAAK,gBAAgBy8D,GAAGz8D,EAAE,eAAe,EAAE,KAAK,iBAAiBy8D,GAAGz8D,EAAE,gBAAgB,EAAE,KAAK,gBAAgB,EAAE,CAAC,MAAMA,EAAE,CAACA,EAAE2rD,GAAG3rD,CAAC,EAAE,IAAIZ,EAAEY,EAAE,OAAO,OAAO,KAAK,MAAM,WAAW,KAAK,KAAK,CAAC,KAAK,IAAI,GAAG,QAAQiB,EAAE,EAAEA,EAAE,KAAK,KAAK,OAAO,EAAEA,EAAE,KAAK,KAAKA,GAAG,IAAI,KAAK,KAAKA,IAAI7B,GAAG,QAAQ6B,KAAK,KAAK,KAAK,GAAGA,EAAE,GAAGA,GAAG7B,EAAE,MAAM,IAAI,MAAM,iBAAiB6B,GAAG,EAAE,GAAG,KAAK,KAAK,SAASklD,GAAG,KAAK,IAAI,EAAE,OAAO,MAAM,IAAI,MAAM,4BAA4B,KAAK,MAAM,EAAE,IAAI,EAAE,KAAK,KAAK,IAAIllD,GAAGjB,EAAEiB,EAAE,EAAExB,EAAE,GAAG,KAAK,MAAM,KAAK,MAAM,KAAK,UAAU,QAAQ,EAAE,UAAU,KAAK,iBAAiB,KAAK,iBAAiBA,CAAC,EAAE,KAAK,MAAM,KAAK,KAAK,OAAO,KAAK,KAAK,KAAK,UAAU,OAAO,EAAE,UAAU,KAAK,gBAAgB,KAAK,gBAAgBA,CAAC,EAAE,KAAK,KAAK,KAAK,KAAK,MAAM,EAAE,CAAC,KAAKO,EAAEZ,EAAE,CAAC,IAAI,EAAEssD,GAAG1rD,CAAC,EAAEP,EAAE,EAAE,MAAMwB,EAAExB,EAAE,OAAO,OAAOkzB,EAAE,IAAI,CAAC,GAAG,CAAC,KAAKxxB,EAAE,SAASC,CAAC,EAAE6mC,GAAG,EAAE,KAAK,KAAK,EAAE,EAAE5mC,EAAEikD,GAAG,EAAErkD,CAAC,EAAE,QAAQ,KAAK,KAAK,KAAKI,EAAE,GAAG5B,EAAE,GAAG,IAAIqC,EAAE,GAAG,GAAG,MAAM,EAAE,MAAM,SAASb,EAAEm6B,EAAE,EAAE/5B,CAAC,EAAE,EAAEU,EAAE,KAAK,MAAMD,EAAE,KAAK,MAAM,KAAK,CAAC,EAAE,KAAKE,EAAE,KAAK,OAAOF,EAAE,KAAK,KAAK,KAAK,CAAC,EAAE,KAAKG,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEjB,EAAE,EAAE,EAAE,KAAK,KAAK,QAAQ,CAAC,IAAI,IAAIgB,EAAE,KAAKxC,EAAE,EAAE,EAAEyC,EAAE,KAAK,CAAC,IAAID,EAAE,KAAK,CAAC,EAAEC,EAAE,KAAKzC,EAAE,EAAE,GAAG,OAAO0B,EAAE+hC,GAAG/hC,EAAEc,CAAC,EAAEb,EAAE8hC,GAAG9hC,EAAEa,CAAC,EAAEF,GAAG,OAAOA,EAAEmhC,GAAGnhC,EAAEG,CAAC,GAAGF,GAAG,OAAOA,EAAEkhC,GAAGlhC,EAAEE,CAAC,GAAGw+D,GAAG,EAAEv/D,EAAEC,EAAEY,EAAED,EAAE,KAAK,OAAO,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAI/B,EAAE,CAAC,KAAK,KAAK,KAAK,QAAQ,KAAK,QAAQ,OAAO,KAAK,OAAO,MAAM,KAAK,MAAM,gBAAgBsrD,GAAG,KAAK,eAAe,EAAE,iBAAiBA,GAAG,KAAK,gBAAgB,EAAE,gBAAgBiR,GAAG,KAAK,eAAe,EAAE,iBAAiBA,GAAG,KAAK,gBAAgB,CAAC,EAAEn9D,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAE+gE,GAAG,UAAU,qBAAqBpqC,GAAE,cAAcoqC,EAAE,EAAE,SAASC,GAAG9hE,EAAE,EAAEE,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,GAAGzzB,EAAE,OAAO,EAAE,MAAM,IAAIgmD,EAAE,kEAAkEhmD,EAAE,gBAAgB,EAAE,GAAG,GAAG,OAAO,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,GAAG,EAAE,SAAS,GAAG,EAAE,GAAG,SAAS,GAAG,EAAE,GAAG,SAAS,EAAE,MAAM,IAAIgmD,EAAE,6GAA6G,EAAE,GAAG9lD,GAAG,OAAOA,EAAEopD,GAAG,GAAGppD,IAAI,gBAAgBA,IAAI,gBAAgB,MAAM,IAAI8lD,EAAE,wBAAwB9lD,kEAAkE,EAAE,IAAII,EAAE,OAAOJ,IAAI,gBAAgBI,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,GAAG,EAAE,EAAE,EAAEA,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,EAAE,GAAG,EAAE,GAAG,CAAC,EAAE,CAAC,CAAC,EAAEqpC,GAAG3pC,EAAEM,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIyhE,GAAG,cAAc1U,EAAE,CAAC,YAAYvsD,EAAE,CAAC,GAAGA,GAAG,OAAOA,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,WAAWA,EAAE,YAAY,KAAKwoD,GAAG,EAAExoD,EAAE,WAAWA,EAAE,SAAS,KAAK,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,UAAU,OAAOA,EAAE,SAAS,SAAS,KAAK,QAAQ,CAAC,CAACA,EAAE,QAAQA,EAAE,OAAO,EAAE,CAACA,EAAE,QAAQA,EAAE,OAAO,CAAC,MAAM,CAAC,GAAGA,EAAE,QAAQA,EAAE,QAAQA,EAAE,QAAQ,SAAS,EAAE,MAAM,IAAIklD,EAAE,+EAA+EllD,EAAE,QAAQ,eAAe,EAAE,IAAIZ,EAAE,EAAE,GAAG,OAAOY,EAAE,QAAQ,IAAI,SAASZ,EAAE,CAACY,EAAE,QAAQ,GAAGA,EAAE,QAAQ,EAAE,EAAE,EAAE,CAACA,EAAE,QAAQ,GAAGA,EAAE,QAAQ,EAAE,MAAM,CAAC,GAAGA,EAAE,QAAQA,EAAE,QAAQA,EAAE,QAAQ,GAAG,SAAS,EAAE,MAAM,IAAIklD,EAAE,sFAAsFllD,EAAE,QAAQ,GAAG,eAAe,EAAE,GAAGZ,EAAEY,EAAE,QAAQ,GAAGA,EAAE,QAAQ,GAAG,SAAS,EAAE,MAAM,IAAIklD,EAAE,qFAAqFllD,EAAE,QAAQ,GAAG,eAAe,EAAE,EAAEA,EAAE,QAAQ,EAAE,CAAC,KAAK,QAAQ,CAACZ,EAAE,CAAC,CAAC,CAAC,KAAK,UAAU,CAAC,IAAI8sD,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBlsD,EAAE,CAACA,EAAE2rD,GAAG3rD,CAAC,EAAE,IAAIZ,EAAE,EAAE,OAAO,KAAK,aAAa,iBAAiBY,EAAE,IAAI,MAAMA,EAAE,IAAI,EAAEZ,EAAEY,EAAE,GAAG,KAAK,QAAQ,GAAG,GAAG,KAAK,QAAQ,GAAG,GAAGZ,EAAE,KAAKY,EAAE,IAAI,MAAMA,EAAE,IAAI,EAAE,EAAEA,EAAE,GAAG,KAAK,QAAQ,GAAG,GAAG,KAAK,QAAQ,GAAG,GAAG,EAAE,KAAK,CAACA,EAAE,GAAGA,EAAE,GAAGZ,EAAE,CAAC,IAAIY,EAAE,IAAI,MAAMA,EAAE,IAAI,EAAEZ,EAAEY,EAAE,GAAG,KAAK,QAAQ,GAAG,GAAG,KAAK,QAAQ,GAAG,GAAGZ,EAAE,KAAKY,EAAE,IAAI,MAAMA,EAAE,IAAI,EAAE,EAAEA,EAAE,GAAG,KAAK,QAAQ,GAAG,GAAG,KAAK,QAAQ,GAAG,GAAG,EAAE,KAAK,CAACA,EAAE,GAAGZ,EAAE,EAAEY,EAAE,EAAE,EAAE,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAIquC,GAAGtV,GAAG1rD,CAAC,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,QAAQ,KAAK,QAAQ,WAAW,KAAK,UAAU,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEihE,GAAG,UAAU,gBAAgBtqC,GAAE,cAAcsqC,EAAE,EAAE,SAASC,GAAGhiE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,OAAOkzB,EAAE,IAAI,CAAC00B,GAAG5nD,CAAC,EAAE+nD,GAAG,CAAC,EAAED,GAAG/nD,CAAC,EAAEJ,GAAG,OAAOA,EAAE,CAAC,EAAE,CAAC,GAAGI,GAAG,OAAOA,EAAE,SAASC,GAAG,OAAOA,EAAE+oD,GAAG,GAAG,GAAG,OAAO,EAAE,OAAOtpD,EAAEi+D,GAAGj+D,EAAEO,CAAC,EAAE,IAAI,EAAE0B,EAAE3B,IAAI,OAAO,OAAO,QAAQ,OAAO,IAAI,MAAM,EAAEsnC,GAAG5nC,EAAE,EAAEE,EAAE+B,CAAC,EAAE,EAAEm6B,GAAGp8B,EAAE,EAAEE,EAAE+B,CAAC,EAAE1B,IAAI,kBAAkB,EAAEs0B,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,SAASotC,GAAGjiE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,OAAOkzB,EAAE,IAAI,CAAC00B,GAAG5nD,CAAC,EAAE+nD,GAAG,CAAC,EAAED,GAAG/nD,CAAC,EAAEJ,GAAG,OAAOA,EAAE,CAAC,EAAE,EAAE,CAAC,GAAGI,GAAG,OAAOA,EAAE,SAASC,GAAG,OAAOA,EAAE+oD,GAAG,GAAG,GAAG,OAAO,EAAE,OAAOtpD,EAAEk+D,GAAGl+D,EAAEO,CAAC,EAAE,IAAI,EAAE0B,EAAE3B,IAAI,OAAO,OAAO,QAAQ,OAAO,IAAI,MAAM,EAAEwnC,GAAG9nC,EAAE,EAAEE,EAAE+B,CAAC,EAAE,EAAEq6B,GAAGt8B,EAAE,EAAEE,EAAE+B,CAAC,EAAE1B,IAAI,kBAAkB,EAAEs0B,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,IAAIqtC,GAAG,cAAc7U,EAAE,CAAC,YAAYvsD,EAAE,CAAC,GAAGA,EAAE,UAAU,OAAOA,EAAE,SAAS,GAAG,MAAMA,CAAC,EAAE,OAAOA,EAAE,UAAU,SAAS,KAAK,SAAS,CAACA,EAAE,QAAQ,UAAU,MAAM,QAAQA,EAAE,QAAQ,GAAGA,EAAE,SAAS,SAAS,GAAG,OAAOA,EAAE,SAAS,IAAI,SAAS,KAAK,SAASA,EAAE,aAAc,OAAM,IAAIklD,EAAE,qGAAqG,KAAK,UAAUllD,EAAE,QAAQ,GAAG,EAAE,GAAGumD,GAAG,KAAK,SAAS,UAAU,EAAEvmD,EAAE,SAAS,KAAK,KAAK,QAAQ,KAAK,iBAAiB,OAAOA,EAAE,SAAS,SAAS,KAAK,QAAQ,CAACA,EAAE,OAAO,UAAU,MAAM,QAAQA,EAAE,OAAO,GAAGA,EAAE,QAAQ,SAAS,GAAG,OAAOA,EAAE,QAAQ,IAAI,SAAS,KAAK,QAAQA,EAAE,YAAa,OAAM,IAAIklD,EAAE,oGAAoG,KAAK,UAAUllD,EAAE,OAAO,GAAG,EAAEumD,GAAG,KAAK,QAAQ,SAAS,EAAE,KAAK,QAAQvmD,EAAE,SAAS,KAAK,QAAQA,EAAE,QAAQunD,GAAG,KAAK,OAAO,EAAE,KAAK,UAAU,CAAC,IAAI2E,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBlsD,EAAE,CAACA,EAAE2rD,GAAG3rD,CAAC,EAAE,IAAIZ,EAAE69D,GAAGj9D,EAAE,GAAG,KAAK,SAAS,GAAG,KAAK,QAAQ,KAAK,QAAQ,EAAE,EAAE,MAAM,CAACA,EAAE,GAAGZ,EAAEY,EAAE,EAAE,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,KAAK,eAAe3yB,EAAEZ,CAAC,EAAEY,EAAE0oD,GAAGgD,GAAG1rD,CAAC,EAAE,CAAC,EAAE,IAAI,EAAE,KAAK,gBAAgB0rD,GAAG1rD,CAAC,EAAE,CAAC,KAAK,SAAS,GAAG,CAAC,EAAE,CAAC,KAAK,QAAQ,GAAG,CAAC,EAAE,KAAK,QAAQ,cAAc,EAAE,OAAO4uC,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAI5uC,EAAE,CAAC,SAAS,KAAK,SAAS,QAAQ,KAAK,QAAQ,QAAQ,KAAK,OAAO,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEqhE,GAAG,cAAcD,EAAE,CAAC,YAAYphE,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,gBAAgBA,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,OAAOomD,GAAGpmD,CAAC,EAAEsmD,GAAG9nD,CAAC,EAAEyhE,GAAGlhE,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,KAAK,CAAC,CAAC,EAAEogE,GAAG,UAAU,eAAe1qC,GAAE,cAAc0qC,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAYphE,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,gBAAgBA,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,OAAOomD,GAAGpmD,CAAC,EAAEsmD,GAAG9nD,CAAC,EAAEyhE,GAAGlhE,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,KAAK,CAAC,CAAC,EAAEqgE,GAAG,UAAU,mBAAmB3qC,GAAE,cAAc2qC,EAAE,EAAE,IAAIC,GAAG,cAAchV,EAAE,CAAC,YAAYvsD,EAAE,CAAC,GAAGA,EAAE,UAAU,OAAOA,EAAE,SAAS,CAAC,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,SAAS,MAAM,QAAQA,EAAE,QAAQ,EAAEA,EAAE,SAAS,CAACA,EAAE,SAASA,EAAE,QAAQ,EAAEA,EAAE,SAAS,KAAK,KAAK,QAAQ,KAAK,iBAAiB,MAAM,QAAQA,EAAE,OAAO,EAAE,CAAC,GAAGA,EAAE,QAAQ,SAAS,EAAE,MAAM,IAAIklD,EAAE,wHAAwHllD,EAAE,QAAQ,SAAS,EAAE,KAAK,QAAQA,EAAE,OAAO,MAAM,KAAK,QAAQ,CAACA,EAAE,QAAQA,EAAE,OAAO,EAAEumD,GAAG,KAAK,SAAS,UAAU,EAAEA,GAAG,KAAK,QAAQ,SAAS,EAAE,KAAK,QAAQvmD,EAAE,SAAS,KAAK,QAAQA,EAAE,QAAQ,KAAK,WAAWA,EAAE,YAAY,KAAK,eAAeA,EAAE,WAAWqnD,GAAG,KAAK,UAAU,EAAEE,GAAG,KAAK,OAAO,EAAE,KAAK,UAAU,CAAC,IAAI2E,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBlsD,EAAE,CAACA,EAAE2rD,GAAG3rD,CAAC,EAAE,IAAIZ,EAAE,KAAK,aAAa,gBAAgBY,EAAE,GAAGA,EAAE,GAAG,EAAE,KAAK,aAAa,gBAAgBA,EAAE,GAAGA,EAAE,GAAG,OAAOZ,EAAE69D,GAAG79D,EAAE,KAAK,SAAS,GAAG,KAAK,QAAQ,KAAK,QAAQ,EAAE,EAAE,EAAE69D,GAAG,EAAE,KAAK,SAAS,GAAG,KAAK,QAAQ,KAAK,QAAQ,EAAE,EAAE,KAAK,aAAa,gBAAgB,CAACj9D,EAAE,GAAGA,EAAE,GAAGZ,EAAE,CAAC,EAAE,CAACY,EAAE,GAAGZ,EAAE,EAAEY,EAAE,EAAE,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,KAAK,KAAK,eAAe3yB,EAAEZ,CAAC,EAAE,KAAK,gBAAgBssD,GAAG1rD,CAAC,EAAE,KAAK,SAAS,KAAK,QAAQ,KAAK,QAAQ,KAAK,UAAU,EAAE,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,SAAS,KAAK,SAAS,QAAQ,KAAK,QAAQ,QAAQ,KAAK,QAAQ,WAAW,KAAK,UAAU,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEwhE,GAAG,cAAcD,EAAE,CAAC,YAAYvhE,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,gBAAgBA,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,OAAOomD,GAAGpmD,CAAC,EAAEsmD,GAAG9nD,CAAC,EAAEyhE,GAAGlhE,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,KAAK,CAAC,CAAC,EAAEugE,GAAG,UAAU,eAAe7qC,GAAE,cAAc6qC,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAYvhE,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,gBAAgBA,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,OAAOomD,GAAGpmD,CAAC,EAAEsmD,GAAG9nD,CAAC,EAAEyhE,GAAGlhE,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,KAAK,CAAC,CAAC,EAAEwgE,GAAG,UAAU,mBAAmB9qC,GAAE,cAAc8qC,EAAE,EAAE,IAAIC,GAAG,cAAcnV,EAAE,CAAC,YAAYvsD,EAAE,CAAC,GAAGA,EAAE,UAAU,OAAOA,EAAE,SAAS,CAAC,EAAE,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,SAAS,MAAM,QAAQA,EAAE,QAAQ,EAAEA,EAAE,SAAS,CAACA,EAAE,SAASA,EAAE,SAASA,EAAE,QAAQ,EAAEA,EAAE,SAAS,KAAK,KAAK,QAAQ,KAAK,iBAAiB,MAAM,QAAQA,EAAE,OAAO,EAAE,CAAC,GAAGA,EAAE,QAAQ,SAAS,EAAE,MAAM,IAAIklD,EAAE,wHAAwHllD,EAAE,QAAQ,SAAS,EAAE,KAAK,QAAQA,EAAE,OAAO,MAAM,KAAK,QAAQ,CAACA,EAAE,QAAQA,EAAE,QAAQA,EAAE,OAAO,EAAEumD,GAAG,KAAK,SAAS,UAAU,EAAEA,GAAG,KAAK,QAAQ,SAAS,EAAE,KAAK,QAAQvmD,EAAE,SAAS,KAAK,QAAQA,EAAE,QAAQ,KAAK,WAAWA,EAAE,YAAY,KAAK,eAAeA,EAAE,WAAWqnD,GAAG,KAAK,UAAU,EAAEE,GAAG,KAAK,OAAO,EAAE,KAAK,UAAU,CAAC,IAAI2E,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBlsD,EAAE,CAACA,EAAE2rD,GAAG3rD,CAAC,EAAE,IAAIZ,EAAE,KAAK,aAAa,gBAAgBY,EAAE,GAAGA,EAAE,GAAG,EAAE,KAAK,aAAa,gBAAgBA,EAAE,GAAGA,EAAE,GAAGP,EAAE,KAAK,aAAa,gBAAgBO,EAAE,GAAGA,EAAE,GAAG,OAAOZ,EAAE69D,GAAG79D,EAAE,KAAK,SAAS,GAAG,KAAK,QAAQ,KAAK,QAAQ,EAAE,EAAE,EAAE69D,GAAG,EAAE,KAAK,SAAS,GAAG,KAAK,QAAQ,KAAK,QAAQ,EAAE,EAAEx9D,EAAEw9D,GAAGx9D,EAAE,KAAK,SAAS,GAAG,KAAK,QAAQ,KAAK,QAAQ,EAAE,EAAE,KAAK,aAAa,gBAAgB,CAACO,EAAE,GAAGA,EAAE,GAAGZ,EAAE,EAAEK,CAAC,EAAE,CAACO,EAAE,GAAGZ,EAAE,EAAEK,EAAEO,EAAE,EAAE,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,KAAK,KAAK,eAAe3yB,EAAEZ,CAAC,EAAE,KAAK,gBAAgBssD,GAAG1rD,CAAC,EAAE,KAAK,SAAS,KAAK,QAAQ,KAAK,QAAQ,KAAK,UAAU,EAAE,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,SAAS,KAAK,SAAS,QAAQ,KAAK,QAAQ,QAAQ,KAAK,QAAQ,WAAW,KAAK,UAAU,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAE2hE,GAAG,cAAcD,EAAE,CAAC,YAAY1hE,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,gBAAgBA,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,OAAOomD,GAAGpmD,CAAC,EAAEsmD,GAAG9nD,CAAC,EAAE0hE,GAAGnhE,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,KAAK,CAAC,CAAC,EAAE0gE,GAAG,UAAU,eAAehrC,GAAE,cAAcgrC,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAY1hE,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,gBAAgBA,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,OAAOomD,GAAGpmD,CAAC,EAAEsmD,GAAG9nD,CAAC,EAAE0hE,GAAGnhE,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,KAAK,CAAC,CAAC,EAAE2gE,GAAG,UAAU,mBAAmBjrC,GAAE,cAAcirC,EAAE,EAAE,IAAIC,GAAG,cAActV,EAAE,CAAC,YAAYvsD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,UAAU,CAAC,IAAIksD,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBlsD,EAAE,CAAC,MAAM,CAACA,EAAE,GAAGA,EAAE,EAAE,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,MAAM,IAAI+lD,EAAE,CAAC,EAAE2c,GAAG,cAAcD,EAAE,CAAC,YAAY7hE,EAAE,CAAC,MAAMA,GAAG,CAAC,CAAC,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,IAAI,EAAE+4B,GAAG1rD,CAAC,EAAE,OAAOsnC,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEw6B,GAAG,UAAU,yBAAyBnrC,GAAE,cAAcmrC,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAY7hE,EAAE,CAAC,MAAMA,GAAG,CAAC,CAAC,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,IAAI,EAAE+4B,GAAG1rD,CAAC,EAAE,OAAO0hC,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEqgC,GAAG,UAAU,qBAAqBprC,GAAE,cAAcorC,EAAE,EAAE,IAAIC,GAAG,cAAczV,EAAE,CAAC,YAAYvsD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,WAAWA,EAAE,YAAY,KAAK,eAAeA,EAAE,WAAWqnD,GAAG,KAAK,UAAU,EAAE,KAAK,UAAU,CAAC,IAAI6E,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBlsD,EAAE,CAAC,OAAOA,EAAEA,EAAE,KAAK,aAAa,eAAe,CAACA,EAAE,GAAGA,EAAE,EAAE,EAAE,CAACA,EAAE,GAAGA,EAAE,EAAE,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,MAAM,IAAI+lD,EAAE,CAAC,WAAW,CAAC,IAAInlD,EAAE,CAAC,WAAW,KAAK,UAAU,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,EAAEiiE,GAAG,cAAcD,EAAE,CAAC,KAAKhiE,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,IAAI,EAAE+4B,GAAG1rD,CAAC,EAAE,OAAO,KAAK,aAAa,eAAesnC,GAAG,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEA,GAAG,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE26B,GAAG,UAAU,yBAAyBtrC,GAAE,cAAcsrC,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,KAAKhiE,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,IAAI,EAAE+4B,GAAG1rD,CAAC,EAAE,OAAO,KAAK,aAAa,eAAe0hC,GAAG,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEA,GAAG,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEwgC,GAAG,UAAU,qBAAqBvrC,GAAE,cAAcurC,EAAE,EAAE,IAAIC,GAAG,cAAc5V,EAAE,CAAC,YAAYvsD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,MAAMA,EAAE,KAAK,CAAC,MAAMA,EAAE,CAAC,KAAK,MAAM,EAAE,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,OAAO,KAAK,KAAK,MAAM,UAAU,EAAE,CAAC,IAAI,UAAUA,EAAE,CAAC,KAAK,OAAO,OAAO,KAAK,MAAM,UAAUA,EAAE,CAAC,IAAI,kBAAkB,CAAC,OAAO,KAAK,MAAM,gBAAgB,CAAC,IAAI,qBAAqB,CAAC,OAAO,KAAK,MAAM,mBAAmB,CAAC,IAAI,SAAS,CAAC,OAAO,KAAK,MAAM,QAAQ,CAAC,IAAI,QAAQ,CAAC,OAAO,KAAK,MAAM,MAAM,CAAC,YAAY,CAAC,OAAO,KAAK,MAAM,WAAW,CAAC,CAAC,WAAWA,EAAE,CAAC,KAAK,MAAM,WAAWA,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,MAAM,CAAC,UAAU,KAAK,MAAM,aAAa,EAAE,OAAO,KAAK,MAAM,UAAU,CAAC,CAAC,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,6BAA6BA,EAAE,CAAC,MAAM,6BAA6BA,CAAC,EAAE,KAAK,OAAO,MAAM,KAAK,MAAM,6BAA6BA,CAAC,CAAC,CAAC,OAAO,WAAWA,EAAEZ,EAAE,EAAE,CAAC,EAAE,CAAC,IAAIK,EAAEL,EAAE,MAAM6B,EAAEg0D,GAAGx1D,EAAE,CAAC,EAAE,OAAOL,EAAE,MAAM,IAAI8B,EAAE,CAAC,MAAMD,CAAC,EAAE,OAAO,OAAO,OAAOC,EAAE9B,CAAC,EAAE,IAAIY,EAAEkB,CAAC,CAAC,CAAC,EAAEkhE,GAAG,cAAcD,EAAE,CAAC,YAAYniE,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,gBAAgB,EAAE,CAAC,MAAMA,EAAE,CAAC,GAAGA,EAAE2rD,GAAG3rD,CAAC,EAAEA,EAAE,OAAO,EAAE,MAAM,IAAIklD,EAAE,gFAAgF,KAAK,UAAUllD,CAAC,GAAG,EAAE,KAAK,UAAU,CAAC,CAAC,MAAMA,CAAC,CAAC,EAAE,IAAIZ,EAAE,CAACY,EAAE,EAAE,EAAE,OAAOA,EAAE,MAAM,CAAC,CAAC,EAAE,KAAK,MAAM,QAAQ,KAAK,MAAM,MAAMZ,CAAC,EAAE,KAAK,MAAM,MAAM,IAAI,MAAM,MAAMY,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAACA,EAAE2rD,GAAG3rD,CAAC,EAAE,IAAIZ,EAAE,CAACY,EAAE,EAAE,EAAE,OAAOA,EAAE,MAAM,CAAC,CAAC,EAAE,EAAE,KAAK,MAAM,mBAAmBZ,CAAC,EAAEK,EAAEO,EAAE,GAAG,MAAM,CAAC,EAAE,GAAGP,CAAC,EAAE,OAAO,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,KAAKO,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,KAAK3yB,EAAE0rD,GAAG1rD,CAAC,EAAEs+D,GAAG,CAACp9D,EAAE,IAAI,CAACwqD,GAAG,KAAK,MAAM,KAAKxqD,EAAE9B,CAAC,CAAC,EAAE,CAAC,CAAC,EAAEY,EAAE,CAAC,EAAE,GAAG,KAAK,KAAK,GAAG,EAAE,EAAE,GAAG,CAAC,CAAC,EAAEoiE,GAAG,UAAU,kBAAkBzrC,GAAE,cAAcyrC,EAAE,EAAE,SAASC,GAAGnjE,EAAE,CAACmnD,GAAGc,GAAG,yBAAyBjoD,CAAC,CAAC,CAAC,IAAIojE,GAAG,SAASC,GAAG,cAAcJ,EAAE,CAAC,YAAYniE,EAAE,CAAC,MAAMA,CAAC,EAAE,IAAIZ,EAAEY,EAAE,MAAM,UAAU,EAAE,EAAE,CAAC,EAAE,EAAE,UAAUA,EAAE,MAAM,aAAa,EAAE,EAAE,OAAOZ,EAAE,KAAK,aAAa61D,GAAG,CAAC,EAAE71D,EAAE,YAAYA,EAAE,cAAc,GAAG,IAAIK,EAAE,CAAC,EAAE,GAAGA,EAAE,UAAUO,EAAE,MAAM,aAAa,EAAEP,EAAE,OAAOL,EAAE,KAAK,cAAc61D,GAAGx1D,CAAC,EAAE,KAAK,aAAa,KAAK,WAAW,KAAK,aAAa,KAAK,KAAK,cAAc,KAAK,YAAY,KAAK,cAAc,KAAK,KAAK,UAAUO,EAAE,YAAY,OAAOsiE,GAAGtiE,EAAE,UAAUqiE,GAAG,KAAK,SAAS,EAAEriE,EAAE,QAAQ,MAAM,IAAImlD,GAAG,iEAAiE,EAAE,KAAK,UAAUnlD,EAAE,MAAM,SAAS,KAAK,gBAAgBA,EAAE,MAAM,gBAAgB,KAAK,YAAYA,EAAE,MAAM,YAAY,KAAK,gBAAgB,GAAG,KAAK,WAAW,GAAG,KAAK,UAAUA,EAAE,MAAM,UAAU,KAAK,aAAa,IAAI,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,UAAU,CAAC,IAAI,UAAUA,EAAE,CAAC,KAAK,WAAWA,EAAE,KAAK,cAAc,OAAO,KAAK,aAAa,UAAUA,GAAG,KAAK,eAAe,OAAO,KAAK,cAAc,UAAUA,EAAE,CAAC,YAAY,CAAC,OAAO,KAAK,aAAa,WAAW,EAAE,OAAO,KAAK,cAAc,WAAW,CAAC,CAAC,CAAC,WAAWA,EAAE,CAAC,IAAIZ,EAAEY,EAAE,OAAO,EAAE,KAAK,MAAMZ,EAAE,CAAC,EAAE,KAAK,aAAa,WAAWY,EAAE,MAAM,EAAE,CAAC,CAAC,EAAE,KAAK,cAAc,WAAWA,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAAC,IAAIZ,EAAE,KAAK,aAAa,mBAAmBY,CAAC,EAAE,MAAM,QAAQZ,CAAC,GAAG,MAAM,QAAQA,EAAE,EAAE,IAAIA,EAAE,CAACA,CAAC,GAAGA,EAAEA,EAAE,IAAI,EAAEK,EAAEwB,EAAE,OAAO,KAAK,cAAcA,EAAE7B,EAAE,MAAM,CAAC,GAAG,EAAEA,EAAE,GAAG,EAAE,EAAE,KAAK,YAAY,UAAU,EAAE,EAAE,OAAO,IAAI,EAAEK,EAAE,CAAC,CAAC,GAAG,KAAK,WAAW,KAAKA,EAAE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,KAAK,YAAY,KAAK,WAAW,KAAKA,EAAE,OAAOwB,CAAC,EAAE,OAAOA,EAAE,MAAM,CAAC,EAAE,CAAC,CAAC,EAAE,OAAOA,CAAC,EAAE,OAAOA,EAAE,MAAM,CAAC,EAAEwkD,GAAGhmD,CAAC,CAAC,CAAC,MAAMO,EAAEZ,EAAE,CAAC,IAAI,EAAEA,GAAG,KAAK,KAAKA,EAAE,aAAaK,EAAEL,GAAG,KAAK,KAAKA,EAAE,UAAUA,GAAG,OAAOA,EAAE,CAAC,GAAG,IAAI6B,EAAEo9D,GAAGr+D,EAAE,EAAEP,EAAE,KAAK,YAAY,EAAE,GAAGO,EAAEiB,EAAE,OAAO,EAAEA,EAAE,aAAaxB,EAAEwB,EAAE,UAAU,MAAM,QAAQjB,CAAC,IAAI,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAEA,EAAE,KAAK,GAAG,MAAM,EAAE,SAAS,IAAIP,GAAG,KAAK,OAAO,MAAM,MAAMO,EAAEZ,CAAC,EAAE,IAAI8B,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,GAAG,GAAG,KAAK,CAAC,IAAI,EAAE,EAAE,OAAO,GAAG,EAAE,EAAE,EAAE,MAAM,IAAI+jD,EAAE,+HAA+H,EAAE9lD,EAAE,aAAa,EAAE8B,EAAE,KAAK,GAAG,CAAC,EAAE,IAAIY,EAAE,EAAE,IAAI,GAAG,IAAIoqD,GAAG,CAAC,MAAM,EAAE,KAAK,CAAC,CAAC,EAAE,KAAK,aAAa,UAAUpqD,EAAE,MAAM,EAAE,EAAE,CAAC,EAAE,KAAK,cAAc,UAAUA,EAAE,MAAM,EAAE,CAAC,EAAEX,EAAE,KAAK,GAAGW,CAAC,CAAC,CAAC,GAAGrC,GAAG,KAAK,MAAM,IAAI0lD,GAAG,uEAAuE,EAAE,IAAI/jD,EAAEF,EAAE,aAAairD,GAAG,QAAQ,KAAKjrD,EAAE,GAAG,aAAairD,KAAK/qD,EAAE,MAAM,IAAI8jD,EAAE,8GAA8G,EAAE,GAAG9jD,EAAE,CAAC,IAAI,EAAE,CAACpB,CAAC,EAAE,OAAOkB,CAAC,EAAEY,EAAE,KAAK,UAAU,OAAOX,CAAC,EAAE,EAAE,KAAK,UAAU,KAAK,UAAUW,EAAE,IAAIE,EAAE,MAAM,MAAM,EAAE5C,CAAC,EAAE,OAAO,KAAK,UAAU,EAAE4C,CAAC,KAAM,QAAO,MAAM,MAAMhC,EAAEZ,CAAC,CAAC,CAAC,KAAKY,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,IAAI,EAAEvzB,EAAE,aAAaK,EAAEwB,EAAE,GAAG,GAAG,KAAKxB,EAAE,KAAK,aAAa,KAAKO,EAAEZ,CAAC,EAAE6B,EAAE,KAAK,cAAc,KAAKjB,EAAEZ,CAAC,MAAM,CAAC,IAAIgC,EAAE,EAAE,MAAM,EAAE,EAAE,OAAO,CAAC,EAAE,EAAE,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE3B,EAAE,KAAK,aAAa,KAAKO,EAAE,OAAO,OAAOZ,EAAE,CAAC,aAAagC,CAAC,CAAC,CAAC,EAAEH,EAAE,KAAK,cAAc,KAAKjB,EAAE,OAAO,OAAOZ,EAAE,CAAC,aAAa,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI8B,EAAE,KAAK,cAAc,MAAM,QAAQzB,CAAC,IAAIyB,EAAEzB,EAAE,MAAM,CAAC,EAAE,OAAOwB,EAAE,MAAM,CAAC,CAAC,GAAGxB,EAAEA,EAAE,GAAGwB,EAAEA,EAAE,IAAI,KAAK,kBAAkBA,EAAE2qC,GAAG3qC,EAAE,CAAC,GAAG,IAAIE,EAAE,OAAO,KAAK,YAAY,SAASA,EAAE+nD,GAAG,CAACzpD,EAAEwB,CAAC,CAAC,EAAE,KAAK,YAAY,MAAME,EAAE62B,EAAEv4B,EAAEwB,CAAC,EAAE,KAAK,YAAY,MAAME,EAAEm3B,EAAE,GAAGN,EAAEv4B,EAAEwB,CAAC,CAAC,EAAE,KAAK,YAAY,MAAME,EAAEm3B,EAAE74B,EAAEwB,CAAC,EAAE,KAAK,WAAW,OAAOE,EAAE,CAAC1B,EAAEwB,CAAC,GAAG,KAAK,YAAY,KAAK,WAAW,KAAKE,EAAE,OAAOD,CAAC,EAAE,CAACC,CAAC,EAAE,OAAOD,CAAC,EAAEC,CAAC,CAAC,CAAC,CAAC,YAAYnB,EAAE,CAAC,KAAK,aAAa,YAAY,EAAE,KAAK,cAAc,YAAY,CAAC,CAAC,MAAMA,EAAE,CAAC2nD,GAAG,KAAK,aAAa,KAAK,IAAI,CAAC,KAAK,aAAa,MAAM3nD,CAAC,CAAC,CAAC,EAAE2nD,GAAG,KAAK,cAAc,KAAK,IAAI,CAAC,KAAK,cAAc,MAAM3nD,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,YAAYA,EAAEZ,EAAE,CAAC,MAAM,QAAQA,CAAC,IAAIA,EAAEA,EAAE,IAAI,IAAI,EAAE,GAAG,KAAK,gBAAgB,KAAK,WAAW,KAAK,EAAE,CAACA,EAAEA,CAAC,EAAE,EAAEA,EAAE,KAAK,WAAW,KAAK,EAAE,CAAC,KAAK,IAAI,EAAE,EAAE,KAAK,KAAK,YAAY,CAAC,IAAI6B,EAAE,KAAK,aAAa,OAAO,IAAIC,GAAG,IAAI,EAAE,OAAO,MAAM,QAAQ,CAAC,EAAE,EAAE,OAAOD,CAAC,EAAE,OAAOA,CAAC,EAAE,CAAC,CAAC,EAAE,OAAOA,CAAC,EAAE,OAAOA,CAAC,CAAC,KAAM,QAAO,CAAC,CAAC,IAAI,kBAAkB,CAAC,OAAO,KAAK,aAAa,iBAAiB,OAAO,KAAK,cAAc,gBAAgB,CAAC,CAAC,IAAI,qBAAqB,CAAC,OAAO,KAAK,aAAa,oBAAoB,OAAO,KAAK,cAAc,mBAAmB,CAAC,CAAC,6BAA6BjB,EAAE,CAAC,MAAM,6BAA6BA,CAAC,EAAE,KAAK,cAAc,MAAM,KAAK,aAAa,6BAA6BA,CAAC,EAAE,KAAK,eAAe,MAAM,KAAK,cAAc,6BAA6BA,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,UAAU,KAAK,SAAS,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,OAAO,WAAWA,EAAEZ,EAAE,CAAC,IAAI,EAAE61D,GAAG71D,EAAE,KAAK,EAAE,GAAG,OAAOA,EAAE,MAAMA,EAAE,cAAc,KAAK,MAAM,IAAI+lD,GAAG,0FAA0F,EAAE,IAAI1lD,EAAEL,EAAE,OAAOK,EAAE,MAAM,EAAE,IAAIO,EAAEP,CAAC,CAAC,CAAC,EAAE8iE,GAAG,UAAU,gBAAgB5rC,GAAE,cAAc4rC,EAAE,EAAE,IAAIC,GAAG,cAAcjW,EAAE,CAAC,YAAYvsD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,MAAMA,EAAE,MAAMA,EAAE,OAAO,KAAK,OAAOA,EAAE,OAAO,KAAK,OAAO,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,MAAM,KAAK,MAAM,OAAO,KAAK,MAAM,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,KAAK3yB,EAAE0rD,GAAG1rD,CAAC,EAAEA,EAAE,QAAQ,YAAYA,EAAEyoD,GAAGzoD,EAAE,SAAS,GAAGg4B,EAAEM,EAAEt4B,EAAE,KAAK,KAAK,EAAE,KAAK,MAAM,EAAE,CAAC,CAAC,EAAEwiE,GAAG,UAAU,YAAY7rC,GAAE,cAAc6rC,EAAE,EAAE,IAAIC,GAAG,CAAC,WAAW,SAAS,EAAEC,GAAG,IAAI,IAAID,EAAE,EAAEE,GAAG,cAAcpW,EAAE,CAAC,YAAYvsD,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,OAAOA,EAAE,OAAO,KAAK,MAAMA,EAAE,MAAMA,EAAE,cAAc,GAAG0iE,GAAG,IAAI1iE,EAAE,aAAa,EAAE,KAAK,cAAcA,EAAE,kBAAmB,OAAM,IAAIklD,EAAE,oCAAoCllD,EAAE,kCAAkC,OAAO,KAAK,cAAc,WAAW,KAAK,kBAAkB,QAAQA,EAAE,iBAAiB,CAAC,CAAC,mBAAmBA,EAAE,CAACA,EAAE2rD,GAAG3rD,CAAC,EAAE,IAAIZ,EAAEY,EAAE,GAAG,MAAM,CAAC,KAAK,OAAO,KAAK,MAAMZ,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIY,EAAE,CAAC,OAAO,KAAK,OAAO,MAAM,KAAK,MAAM,cAAc,KAAK,cAAc,kBAAkB,KAAK,iBAAiB,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC,IAAI,EAAE,CAAC,KAAK,OAAO,KAAK,KAAK,EAAE,GAAG,KAAK,gBAAgB,WAAW,OAAO8lB,GAAG,eAAez4C,EAAE,EAAE,CAAC,KAAK,iBAAiB,EAAE,GAAG,KAAK,gBAAgB,UAAU,OAAOy4C,GAAG,sBAAsBz4C,EAAE,EAAE,CAAC,KAAK,iBAAiB,EAAE,MAAM,IAAI,MAAM,oBAAoB,KAAK,0BAA0B,CAAC,GAAG0iE,EAAE,iBAAiB,CAAC,CAAC,CAAC,CAAC,EAAEC,GAAG,UAAU,WAAWhsC,GAAE,cAAcgsC,EAAE,EAAE,SAASC,GAAG1jE,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEisD,GAAGxsD,CAAC,EAAE,GAAGO,EAAE,QAAQ,UAAUA,EAAEgpD,GAAGhpD,EAAE,OAAO,GAAG,IAAI,MAAM,OAAOA,EAAE,IAAI,EAAEA,EAAE,MAAM,GAAGA,EAAE,OAAO,IAAIA,EAAEqjC,GAAGrjC,EAAE,EAAE,GAAG,IAAI,UAAUA,EAAE,MAAMA,EAAE,MAAM,OAAO,KAAK,IAAIA,EAAEqjC,GAAGrjC,EAAE,EAAE,GAAGA,EAAE,KAAK,EAAE,MAAM,IAAIylD,EAAE,4EAA4E,qBAAqB,uCAAuCzlD,EAAE,OAAO,EAAE,IAAI,EAAE,CAAC,WAAW,QAAQ,EAAE,SAAS,CAAC,EAAE0B,EAAE1B,EAAE2B,EAAE,GAAG,OAAO5B,GAAG,aAAa,IAAI,QAAQ4B,EAAEo+B,GAAGr+B,EAAE3B,EAAEJ,EAAE,CAAC,EAAEgC,EAAEo+B,GAAGr+B,EAAE,CAAC,EAAE/B,EAAE,CAAC,EAAE,IAAI,QAAQ,OAAOgC,EAAE,GAAG5B,EAAE,OAAO84B,EAAEl3B,EAAE5B,CAAC,EAAE,MAAM,IAAI0lD,EAAE,uDAAuD,CAAC,CAAC,IAAI2d,GAAG,cAActW,EAAE,CAAC,YAAYvsD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,UAAUA,EAAE,UAAUA,EAAE,WAAW,KAAK,WAAWA,EAAE,WAAW,KAAK,WAAW,UAAU,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,UAAU,KAAK,UAAU,WAAW,KAAK,UAAU,EAAEZ,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOY,EAAEZ,CAAC,EAAEY,CAAC,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,EAAE2rD,GAAG3rD,CAAC,EAAEA,GAAG,KAAK,CAAC,KAAK,SAAS,EAAE,KAAK,aAAa,UAAUA,EAAEA,EAAE,OAAO,KAAK,GAAGA,EAAE,KAAK,KAAK,SAAS,EAAEA,IAAIA,EAAEA,EAAE,OAAO,GAAG,KAAK,UAAUA,EAAE,CAAC,KAAKA,EAAEZ,EAAE,CAAC,OAAOuzB,EAAE,IAAI,CAAC3yB,EAAE0rD,GAAG1rD,CAAC,EAAEA,EAAE,QAAQ,UAAUA,EAAEyoD,GAAGzoD,EAAE,OAAO,GAAG,IAAI,EAAE,GAAG,OAAOZ,EAAE,cAAc,YAAY,CAAC,GAAG,KAAK,aAAa,QAAQ,MAAM,IAAI8lD,EAAE;AAAA,sCACn3jM9lD,EAAE,cAAc,EAAE,EAAEssD,GAAGtsD,EAAE,YAAY,CAAC,CAAC,IAAIK,EAAEiiC,GAAG1hC,CAAC,EAAEiB,EAAE2gC,GAAG5hC,CAAC,EAAEkB,EAAEwiC,GAAG,KAAK,UAAUjkC,CAAC,EAAE,WAAW,EAAE,IAAI,CAAC,EAAE0B,EAAEyiC,GAAG3iC,EAAE,CAAC,EAAE,WAAW,EAAE,IAAI,CAAC,EAAE,GAAG,EAAEC,GAAGC,GAAG,MAAM,IAAI+jD,EAAE,uEAAuE,KAAK,WAAW,EAAE,OAAO0d,GAAG5iE,EAAE,KAAK,WAAW,KAAK,UAAU,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE6iE,GAAG,UAAU,mBAAmBlsC,GAAE,cAAcksC,EAAE,EAAE,SAASxQ,GAAGnzD,EAAE,CAAC,OAAO,IAAIytD,GAAGztD,CAAC,CAAC,CAAC,SAASqyD,GAAGryD,EAAE,CAAC,OAAO,IAAI29D,GAAG39D,CAAC,CAAC,CAAC,SAASm0D,GAAGn0D,EAAE,CAAC,OAAO,IAAIw9D,GAAGx9D,CAAC,CAAC,CAAC,SAASqzD,GAAGrzD,EAAE,CAAC,OAAO,IAAIy9D,GAAGz9D,CAAC,CAAC,CAAC,SAASk0D,GAAGl0D,EAAE,CAAC,OAAO,IAAI09D,GAAG19D,CAAC,CAAC,CAAC,SAAS40D,GAAG50D,EAAE,CAAC,OAAO,IAAI69D,GAAG79D,CAAC,CAAC,CAAC,SAAS+0D,GAAG/0D,EAAE,CAAC,OAAO,IAAI49D,GAAG59D,CAAC,CAAC,CAAC,SAASyxD,GAAGzxD,EAAE,CAAC,OAAO,IAAI8+D,GAAG9+D,CAAC,CAAC,CAAC,SAAS0xD,GAAG1xD,EAAE,CAAC,OAAO,IAAIw+D,GAAGx+D,CAAC,CAAC,CAAC,SAAS2xD,GAAG3xD,EAAE,CAAC,OAAO,IAAI0+D,GAAG1+D,CAAC,CAAC,CAAC,SAAS4xD,GAAG5xD,EAAE,CAAC,OAAO,IAAIy+D,GAAGz+D,CAAC,CAAC,CAAC,SAAS6xD,GAAG7xD,EAAE,CAAC,OAAO,IAAI2+D,GAAG3+D,CAAC,CAAC,CAAC,SAASy0D,GAAGz0D,EAAE,CAAC,OAAO,IAAI6+D,GAAG7+D,CAAC,CAAC,CAAC,SAASgyD,GAAGhyD,EAAE,CAAC,OAAO,IAAI++D,GAAG/+D,CAAC,CAAC,CAAC,SAASi1D,GAAGj1D,EAAE,CAAC,OAAO,IAAIg/D,GAAGh/D,CAAC,CAAC,CAAC,SAASkyD,GAAGlyD,EAAE,CAAC,OAAO,IAAIk/D,GAAGl/D,CAAC,CAAC,CAAC,SAASwwD,GAAGxwD,EAAE,CAAC,OAAO,IAAIqgE,GAAGrgE,CAAC,CAAC,CAAC,SAASiyD,GAAGjyD,EAAE,CAAC,OAAO,IAAImgE,GAAGngE,CAAC,CAAC,CAAC,SAASoyD,GAAGpyD,EAAE,CAAC,OAAO,IAAIigE,GAAGjgE,CAAC,CAAC,CAAC,SAAS60D,GAAG70D,EAAE,CAAC,OAAO,IAAIkgE,GAAGlgE,CAAC,CAAC,CAAC,SAASuyD,GAAGvyD,EAAE,CAAC,OAAO,IAAIogE,GAAGpgE,CAAC,CAAC,CAAC,SAASo0D,GAAGp0D,EAAE,CAAC,OAAO,IAAIsgE,GAAGtgE,CAAC,CAAC,CAAC,SAASs0D,GAAGt0D,EAAE,CAAC,OAAO,IAAIugE,GAAGvgE,CAAC,CAAC,CAAC,SAASi0D,GAAGj0D,EAAE,CAAC,OAAO,IAAIwgE,GAAGxgE,CAAC,CAAC,CAAC,SAASsyD,GAAGtyD,EAAE,CAAC,OAAO,IAAI0gE,GAAG1gE,CAAC,CAAC,CAAC,SAASywD,GAAGzwD,EAAE,CAAC,OAAO,IAAI4gE,GAAG5gE,CAAC,CAAC,CAAC,SAAS2wD,GAAG3wD,EAAE,CAAC,OAAO,IAAI8gE,GAAG9gE,CAAC,CAAC,CAAC,SAASwxD,GAAGxxD,EAAE,CAAC,OAAO,IAAIihE,GAAGjhE,CAAC,CAAC,CAAC,SAAS8zD,GAAG9zD,EAAE,CAAC,OAAO,IAAI+gE,GAAG/gE,CAAC,CAAC,CAAC,SAAS+zD,GAAG/zD,EAAE,CAAC,OAAO,IAAIghE,GAAGhhE,CAAC,CAAC,CAAC,SAASg0D,GAAGh0D,EAAE,CAAC,OAAO,IAAI6gE,GAAG7gE,CAAC,CAAC,CAAC,SAASmyD,GAAGnyD,EAAE,CAAC,OAAO,IAAIohE,GAAGphE,CAAC,CAAC,CAAC,SAASqxD,GAAGrxD,EAAE,CAAC,OAAO,IAAI4hE,GAAG5hE,CAAC,CAAC,CAAC,SAASozD,GAAGpzD,EAAE,CAAC,OAAO,IAAI6hE,GAAG7hE,CAAC,CAAC,CAAC,SAASk1D,GAAGl1D,EAAE,CAAC,OAAO,IAAI+hE,GAAG/hE,CAAC,CAAC,CAAC,SAAS4wD,GAAG5wD,EAAE,CAAC,OAAO,IAAIoiE,GAAGpiE,CAAC,CAAC,CAAC,SAAS+wD,GAAG/wD,EAAE,CAAC,OAAO4wD,GAAG5wD,CAAC,CAAC,CAAC,SAASkxD,GAAGlxD,EAAE,CAAC,OAAO4wD,GAAG5wD,CAAC,CAAC,CAAC,SAAS6wD,GAAG7wD,EAAE,CAAC,OAAO,IAAIuiE,GAAGviE,CAAC,CAAC,CAAC,SAASgxD,GAAGhxD,EAAE,CAAC,OAAO6wD,GAAG7wD,CAAC,CAAC,CAAC,SAASmxD,GAAGnxD,EAAE,CAAC,OAAO6wD,GAAG7wD,CAAC,CAAC,CAAC,SAAS8wD,GAAG9wD,EAAE,CAAC,OAAO,IAAI0iE,GAAG1iE,CAAC,CAAC,CAAC,SAASixD,GAAGjxD,EAAE,CAAC,OAAO8wD,GAAG9wD,CAAC,CAAC,CAAC,SAASoxD,GAAGpxD,EAAE,CAAC,OAAO8wD,GAAG9wD,CAAC,CAAC,CAAC,SAAS0yD,GAAG1yD,EAAE,CAAC,OAAO,IAAI4iE,GAAG5iE,CAAC,CAAC,CAAC,SAAS2yD,GAAG3yD,EAAE,CAAC,OAAO,IAAI+iE,GAAG/iE,CAAC,CAAC,CAAC,SAAS8yD,GAAG9yD,EAAE,CAAC,OAAO,IAAI6iE,GAAG7iE,CAAC,CAAC,CAAC,SAAS+yD,GAAG/yD,EAAE,CAAC,OAAO,IAAIgjE,GAAGhjE,CAAC,CAAC,CAAC,SAAS2zD,GAAG3zD,EAAE,CAAC,OAAO,IAAImiE,GAAGniE,CAAC,CAAC,CAAC,SAAS4zD,GAAG5zD,EAAE,CAAC,OAAO,IAAIsiE,GAAGtiE,CAAC,CAAC,CAAC,SAAS6zD,GAAG7zD,EAAE,CAAC,OAAO,IAAIyiE,GAAGziE,CAAC,CAAC,CAAC,SAASgzD,GAAGhzD,EAAE,CAAC,OAAO,IAAI0/D,GAAG1/D,CAAC,CAAC,CAAC,SAASizD,GAAGjzD,EAAE,CAAC,OAAO,IAAIy/D,GAAGz/D,CAAC,CAAC,CAAC,SAASszD,GAAGtzD,EAAE,CAAC,OAAO,IAAI4/D,GAAG5/D,CAAC,CAAC,CAAC,SAASuzD,GAAGvzD,EAAE,CAAC,OAAO,IAAI2/D,GAAG3/D,CAAC,CAAC,CAAC,SAAS00D,GAAG10D,EAAE,CAAC,OAAO,IAAIw/D,GAAGx/D,CAAC,CAAC,CAAC,SAAS20D,GAAG30D,EAAE,CAAC,OAAO,IAAIs/D,GAAGt/D,CAAC,CAAC,CAAC,SAAS8xD,GAAG9xD,EAAE,CAAC,OAAO,IAAIggE,GAAGhgE,CAAC,CAAC,CAAC,SAAS+xD,GAAG/xD,EAAE,CAAC,OAAO,IAAI+/D,GAAG//D,CAAC,CAAC,CAAC,SAASw0D,GAAGx0D,EAAE,CAAC,OAAO,IAAIswD,GAAGtwD,CAAC,CAAC,CAAC,SAAS80D,GAAG90D,EAAE,CAAC,OAAO,IAAIq/D,GAAGr/D,CAAC,CAAC,CAAC,SAASsxD,GAAGtxD,EAAE,CAAC,OAAO,IAAIqjE,GAAGrjE,CAAC,CAAC,CAAC,SAASg1D,GAAGh1D,EAAE,CAAC,OAAO,IAAIkjE,GAAGljE,CAAC,CAAC,CAAC,IAAI4yD,GAAGE,GAAGD,GAAGE,GAAGU,GAAGE,GAAGD,GAAGE,GAAG,SAASnB,GAAGzyD,EAAE,CAAC,OAAO,IAAIqhE,GAAGrhE,CAAC,CAAC,CAAC,SAASwyD,GAAGxyD,EAAE,CAAC,OAAO,IAAIshE,GAAGthE,CAAC,CAAC,CAAC,SAAS0wD,GAAG1wD,EAAE,CAAC,OAAO,IAAIuhE,GAAGvhE,CAAC,CAAC,CAAC,SAASwzD,GAAGxzD,EAAE,CAAC,OAAO,IAAIygE,GAAGzgE,CAAC,CAAC,CAAC,SAASq0D,GAAGr0D,EAAE,CAAC,OAAO,IAAIsjE,GAAGtjE,CAAC,CAAC,CAAC,SAASu0D,GAAGv0D,EAAE,CAAC,OAAO,IAAIyjE,GAAGzjE,CAAC,CAAC,CAAC,SAASuxD,GAAGvxD,EAAE,CAAC,OAAO,IAAI2jE,GAAG3jE,CAAC,CAAC,CAAC,IAAI4jE,GAAG,CAAC,EAAExjE,GAAGwjE,GAAG,CAAC,KAAK,IAAIC,GAAG,IAAI,IAAIC,GAAG,eAAe,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,wBAAwB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,KAAK,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,4BAA4B,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,IAAI,IAAIC,GAAG,UAAU,IAAIC,GAAG,OAAO,IAAIC,GAAG,0BAA0B,IAAIC,EAAE,CAAC,EAAE,SAASZ,GAAG/jE,EAAE,EAAE,CAAC,OAAOk3D,GAAGl3D,EAAE,CAAC,CAAC,CAAC,SAASgkE,GAAGhkE,EAAE,EAAE,CAAC,OAAOy3D,GAAGz3D,EAAE,CAAC,CAAC,CAAC,SAAS2kE,GAAG3kE,EAAE,EAAE,CAAC,OAAO03D,GAAG13D,EAAE,CAAC,CAAC,CAAC,SAASikE,GAAGjkE,EAAE,EAAE,CAAC,OAAOm3D,GAAGn3D,EAAE,CAAC,CAAC,CAAC,SAASkkE,GAAGlkE,EAAE,EAAE,CAAC,OAAOi4D,GAAGj4D,EAAE,CAAC,CAAC,CAAC,SAASykE,GAAGzkE,EAAE,EAAE,CAAC,OAAOu3D,GAAGv3D,EAAE,CAAC,CAAC,CAAC,SAAS0kE,GAAG1kE,EAAE,EAAE,CAAC,OAAOw3D,GAAGx3D,EAAE,CAAC,CAAC,CAAC,SAASmkE,GAAGnkE,EAAE,EAAE,CAAC,OAAO+2D,GAAG/2D,EAAE,CAAC,CAAC,CAAC,SAASqkE,GAAGrkE,EAAE,EAAE,CAAC,OAAOk2D,GAAGl2D,EAAE,CAAC,CAAC,CAAC,SAASskE,GAAGtkE,EAAE,EAAE,CAAC,OAAOm2D,GAAGn2D,EAAE,CAAC,CAAC,CAAC,SAAS6jE,GAAG7jE,EAAE,EAAE,CAAC,OAAOm2D,GAAGn2D,EAAE,CAAC,CAAC,CAAC,SAASokE,GAAGpkE,EAAE,EAAE,CAAC,OAAOm2D,GAAGn2D,EAAE,CAAC,CAAC,CAAC,SAASukE,GAAGvkE,EAAE,EAAE,CAAC,OAAOi2D,GAAGj2D,EAAE,CAAC,CAAC,CAAC,SAAS8jE,GAAG9jE,EAAE,EAAE,CAAC,OAAOi2D,GAAGj2D,EAAE,CAAC,CAAC,CAAC,SAASwkE,GAAGxkE,EAAE,EAAE,CAAC,OAAOi2D,GAAGj2D,EAAE,CAAC,CAAC,CAAC,IAAI4kE,GAAG,CAAC,EAAExkE,GAAGwkE,GAAG,CAAC,cAAc,IAAIvJ,EAAE,CAAC,EAAE,IAAIwJ,GAAG,CAAC,EAAEzkE,GAAGykE,GAAG,CAAC,GAAG,IAAIC,GAAG,KAAK,IAAIC,GAAG,GAAG,IAAIC,EAAE,CAAC,EAAE,SAASD,GAAG/kE,EAAE,CAAC,OAAO,IAAIi9D,GAAGj9D,CAAC,CAAC,CAAC,SAAS8kE,GAAG9kE,EAAE,CAAC,OAAOk9D,GAAGl9D,CAAC,CAAC,CAAC,SAASglE,GAAGhlE,EAAE,CAAC,OAAOm9D,GAAGn9D,CAAC,CAAC,CAAC,IAAIilE,GAAG,cAAc1P,EAAE,CAAC,aAAa,CAAC,MAAM,GAAG,SAAS,EAAE,KAAK,MAAM,IAAI,CAAC,SAASz0D,EAAE,CAAC,GAAG,EAAEA,aAAaq6D,IAAI,MAAM,IAAI,MAAM,uDAAuD,EAAE,KAAK,MAAMr6D,CAAC,CAAC,EAAE,SAASokE,GAAGllE,EAAE,EAAE,CAAC,OAAOA,EAAE,CAAC,CAAC,SAASmlE,GAAGnlE,EAAE,EAAE,CAAC,OAAOA,EAAE,CAAC,CAAC,IAAIolE,GAAG,cAAcH,EAAE,CAAC,YAAYnkE,EAAE,CAAC,GAAG,MAAM,EAAEA,GAAG,OAAOA,EAAE,CAAC,GAAGA,EAAE,mBAAmB,MAAM,IAAImlD,GAAG,oEAAoE,EAAE,KAAK,QAAQnlD,EAAE,SAAS,WAAW,KAAK,SAAS,KAAK,IAAIA,EAAE,UAAU,CAAC,EAAE,KAAK,SAASA,EAAE,UAAU,EAAE,KAAK,QAAQA,EAAE,SAAS,EAAE,KAAK,KAAKA,EAAE,MAAM,OAAO,KAAK,SAASA,EAAE,SAAS,CAAC,OAAO,MAAM,KAAK,EAAE,QAAQ,KAAK,IAAI,IAAI,KAAK,QAAQ,KAAK,uBAAuB,KAAK,gDAAgD,EAAE,KAAK,KAAK,QAAQ,KAAK,OAAO,MAAM,KAAK,YAAYokE,GAAG,KAAK,OAAO,MAAM,KAAK,YAAYC,GAAG,KAAK,QAAQ,QAAQ,KAAK,IAAI,GAAG,KAAK,YAAYA,GAAG,KAAK,YAAYD,GAAG,KAAK,cAAcA,KAAK,KAAK,UAAU,GAAG,CAAC,MAAM,aAAapkE,EAAE,CAAC,KAAK,KAAK,EAAE,KAAK,aAAa,EAAE,KAAK,UAAU,KAAK,KAAK,KAAK,KAAK,SAAS,KAAK,KAAK,KAAK,cAAcokE,GAAG,EAAE,EAAE,GAAG,CAAC,CAAC,MAAM,WAAWpkE,EAAEZ,EAAE,CAAC,MAAMi1D,GAAGj1D,CAAC,EAAE,IAAI,EAAE,KAAK,gBAAgBA,CAAC,EAAE,GAAG,OAAO,KAAK,YAAY,EAAE,KAAK,SAAS,KAAK,IAAI,GAAG,KAAK,KAAK,EAAE,KAAK,KAAK,IAAI,KAAK,OAAO,KAAK,MAAM,KAAK,WAAW,KAAK,aAAaY,EAAE,KAAK,MAAM,aAAa,KAAK,CAAC,MAAM,WAAWA,EAAE,CAAC,KAAK,aAAa,GAAG,KAAK,SAAS,QAAQ,IAAI,SAAS,KAAK,+BAA+B,CAAC,CAAC,gBAAgBA,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,IAAIZ,EAAEY,EAAE,KAAK,SAAS,OAAOZ,GAAG,MAAM,QAAQ,KAAK,4BAA4B,KAAK,oDAAoD,OAAO,KAAKY,CAAC,GAAG,EAAEZ,CAAC,CAAC,EAAE,SAASmlE,GAAGrlE,EAAE,CAAC,OAAO,IAAIolE,GAAGplE,CAAC,CAAC,CAAC,IAAIslE,GAAG,CAAC,cAAcD,EAAE,EAAME,GAAG9qD,EAAE,EAAE8qD,GAAG,aAAa,4BAA4B,IAAI,GAAGvlE,GAAG,CAACA,GAAG,QAAQ,KAAK,+OAA+O,CAAC,CAAC,EAAE,IAAIwlE,IAAI,SAASxlE,EAAE,CAACA,EAAEA,EAAE,WAAW,GAAG,aAAaA,EAAEA,EAAE,SAAS,GAAG,WAAWA,EAAEA,EAAE,UAAU,GAAG,YAAYA,EAAEA,EAAE,SAAS,GAAG,WAAWA,EAAEA,EAAE,SAAS,GAAG,WAAWA,EAAEA,EAAE,SAAS,GAAG,WAAWA,EAAEA,EAAE,QAAQ,GAAG,UAAUA,EAAEA,EAAE,UAAU,GAAG,YAAYA,EAAEA,EAAE,aAAa,GAAG,eAAeA,EAAEA,EAAE,SAAS,GAAG,WAAWA,EAAEA,EAAE,QAAQ,IAAI,UAAUA,EAAEA,EAAE,SAAS,IAAI,WAAWA,EAAEA,EAAE,UAAU,IAAI,YAAYA,EAAEA,EAAE,UAAU,IAAI,YAAYA,EAAEA,EAAE,YAAY,IAAI,cAAcA,EAAEA,EAAE,UAAU,IAAI,YAAYA,EAAEA,EAAE,WAAW,IAAI,aAAaA,EAAEA,EAAE,UAAU,IAAI,YAAYA,EAAEA,EAAE,cAAc,IAAI,gBAAgBA,EAAEA,EAAE,QAAQ,IAAI,UAAUA,EAAEA,EAAE,YAAY,IAAI,cAAcA,EAAEA,EAAE,WAAW,IAAI,aAAaA,EAAEA,EAAE,UAAU,IAAI,YAAYA,EAAEA,EAAE,UAAU,IAAI,YAAYA,EAAEA,EAAE,aAAa,KAAK,eAAeA,EAAEA,EAAE,cAAc,KAAK,gBAAgBA,EAAEA,EAAE,aAAa,KAAK,eAAeA,EAAEA,EAAE,aAAa,KAAK,eAAeA,EAAEA,EAAE,aAAa,KAAK,eAAeA,EAAEA,EAAE,YAAY,KAAK,cAAcA,EAAEA,EAAE,cAAc,KAAK,gBAAgBA,EAAEA,EAAE,iBAAiB,KAAK,mBAAmBA,EAAEA,EAAE,aAAa,KAAK,eAAeA,EAAEA,EAAE,YAAY,KAAK,cAAcA,EAAEA,EAAE,aAAa,KAAK,eAAeA,EAAEA,EAAE,cAAc,KAAK,gBAAgBA,EAAEA,EAAE,cAAc,KAAK,gBAAgBA,EAAEA,EAAE,gBAAgB,KAAK,kBAAkBA,EAAEA,EAAE,cAAc,KAAK,gBAAgBA,EAAEA,EAAE,eAAe,KAAK,iBAAiBA,EAAEA,EAAE,cAAc,KAAK,gBAAgBA,EAAEA,EAAE,kBAAkB,KAAK,oBAAoBA,EAAEA,EAAE,YAAY,KAAK,cAAcA,EAAEA,EAAE,gBAAgB,KAAK,kBAAkBA,EAAEA,EAAE,eAAe,KAAK,iBAAiBA,EAAEA,EAAE,cAAc,KAAK,gBAAgBA,EAAEA,EAAE,cAAc,KAAK,eAAe,GAAGwlE,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAASzlE,EAAE,CAAC,IAAI,GAAG,SAASE,EAAE,CAACA,EAAEA,EAAE,OAAO,GAAG,SAASA,EAAEA,EAAE,GAAG,GAAG,KAAKA,EAAEA,EAAE,GAAG,GAAG,IAAI,GAAG,EAAEF,EAAE,0BAA0BA,EAAE,wBAAwB,CAAC,EAAE,CAAC,GAAGylE,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,CAAC,EAAE,SAASC,GAAG3lE,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,SAASF,EAAE,SAAS,SAAS,OAAO,CAAC,EAAE,MAAM,CAAC,EAAE,eAAe,CAAC,EAAE0lE,GAAG1lE,GAAGE,CAAC,CAAC,SAAS0lE,GAAG5lE,EAAE,CAAC,OAAO0lE,GAAG1lE,EAAE,CAAC,SAAS6lE,GAAG7lE,EAAE,CAAC,OAAO0lE,GAAG1lE,EAAE,CAAC,SAAS8lE,EAAE9lE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAE,EAAE,YAAYP,GAAG,GAAG,GAAG,EAAE,kBAAkB,OAAO,CAAC,IAAIiC,EAAE,EAAE,gBAAgBC,EAAE,EAAE,gBAAgB,EAAE,OAAO,EAAE,gBAAgB,OAAOD,EAAE,EAAE,EAAE,cAAc,GAAG,EAAE,OAAO,SAAS,OAAO8jE,GAAG,EAAE,WAAW,EAAE,iBAAiB7lE,EAAEI,EAAEC,CAAC,EAAE,GAAG,EAAE,OAAO,UAAU,OAAO,EAAE,WAAW,MAAM0B,EAAEC,CAAC,EAAE,IAAIY,GAAGijE,GAAGjjE,EAAE5C,EAAEI,EAAEC,CAAC,CAAC,EAAE,IAAI4B,EAAE4jE,GAAG,EAAE,WAAW,MAAM9jE,CAAC,EAAE,GAAG/B,EAAEI,EAAEC,CAAC,EAAEqC,EAAET,EAAE,SAAS,EAAE,OAAO,EAAE,OAAO,SAASS,EAAE,GAAGkkB,EAAE,cAAc3kB,EAAE,MAAMS,CAAC,CAAC,CAAC,IAAI,EAAE,EAAE,WAAW5C,GAAG,OAAO,GAAG,EAAE,KAAK,CAAC,SAAS+lE,GAAG/lE,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAEylE,GAAGhmE,CAAC,EAAE,GAAGM,GAAG,KAAK,CAAC,IAAI2B,EAAE3B,EAAE,yBAAyBC,CAAC,EAAE,GAAG0B,GAAG,KAAK,OAAOA,CAAC,CAAC,IAAI,EAAE/B,EAAE,kBAAkB,KAAK+B,GAAG,CAAC,CAAC,EAAEgkE,GAAG1lE,EAAE0B,CAAC,EAAE,EAAE,OAAO,IAAI,OAAO,EAAEgkE,GAAG1lE,EAAE,CAAC,GAAG,GAAG,MAAM,CAAC,SAAS2lE,GAAGlmE,EAAE,EAAEE,EAAE,CAAC,OAAO,EAAE+lE,GAAGjmE,EAAEE,EAAE,gBAAgB,EAAE,CAAC,SAASimE,GAAGnmE,EAAE,EAAE,CAAC,GAAG,CAACE,EAAEI,EAAEC,CAAC,EAAEylE,GAAGhmE,CAAC,EAAE,MAAM,CAACimE,GAAG/lE,EAAE,GAAG,EAAE,gBAAgB,EAAEI,EAAEC,CAAC,CAAC,CAAC,SAAS0lE,GAAGjmE,EAAE,EAAE,CAAC,OAAO,EAAE,GAAGA,KAAK,IAAIA,CAAC,CAAC,SAASgmE,GAAGhmE,EAAE,CAAC,IAAI,EAAEA,EAAE,MAAM,GAAG,EAAE,GAAG,EAAE,SAAS,EAAE,MAAM,CAACA,EAAE,EAAE,MAAM,EAAE,IAAIE,EAAE,EAAE,GAAGI,EAAE,EAAE,SAAS,EAAE,EAAE,GAAG,OAAOC,EAAE,OAAO,EAAE,EAAE,OAAO,EAAE,EAAE,MAAM,CAACL,EAAEK,EAAED,CAAC,CAAC,CAAC,SAAS8lE,GAAGpmE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEwlE,EAAE,MAAM9lE,EAAE,EAAEE,CAAC,EAAE,GAAGI,IAAI,WAAW,CAACA,EAAEwlE,EAAE,mBAAmB9lE,EAAE,EAAEE,CAAC,EAAE,IAAIK,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAE,EAAE,IAAIA,EAAE,GAAG,GAAGD,EAAE,EAAE,GAAGC,EAAE,GAAG,GAAGD,EAAE,EAAE,EAAE,GAAG,OAAOC,CAAC,CAAC,OAAOD,CAAC,CAAC,SAAS+lE,GAAGrmE,EAAE,CAAC,OAAOA,EAAE,KAAKA,EAAE2wB,GAAG3wB,CAAC,CAAC,CAAC,IAAIsmE,GAAG,CAAC,EAAElmE,GAAGkmE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,UAAU,KAAK,SAAS,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEpmE,GAAGomE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,OAAO,KAAK,aAAa,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,OAAO,KAAK,aAAa,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEtmE,GAAGsmE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,kBAAkB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,MAAM,EAAE,KAAK,iBAAiB,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,UAAU,KAAK,SAAS,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,aAAa,KAAK,YAAY,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,OAAO,eAAe,KAAK,cAAc,KAAK,MAAM,EAAE,CAAC,OAAO,mBAAmB,KAAK,iBAAiB,KAAK,MAAM,EAAE,CAAC,OAAO,2BAA2B,KAAK,yBAAyB,KAAK,MAAM,EAAE,CAAC,OAAO,oBAAoB,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,qBAAqB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,uBAAuB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,wBAAwB,KAAK,sBAAsB,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,qBAAqB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,qBAAqB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,MAAM,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,KAAK,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,MAAM,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,iBAAiB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,MAAM,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,MAAM,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,mBAAmB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,uBAAuB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,kBAAkB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,OAAO,eAAe,KAAK,cAAc,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,kBAAkB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,mBAAmB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,qBAAqB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,qBAAqB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,mBAAmB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,mBAAmB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAExmE,GAAGwmE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,UAAU,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,UAAU,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,UAAU,EAAE,CAAC,OAAO,oBAAoB,KAAK,mBAAmB,KAAK,WAAW,aAAa,CAAC,EAAE,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,UAAU,EAAE,CAAC,OAAO,yBAAyB,KAAK,sBAAsB,KAAK,MAAM,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,UAAU,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,UAAU,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,SAAS,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,KAAK,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,WAAW,KAAK,WAAW,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,gBAAgB,KAAK,gBAAgB,KAAK,MAAM,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,MAAM,EAAE,CAAC,OAAO,oBAAoB,KAAK,mBAAmB,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,eAAe,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,WAAW,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,oBAAoB,KAAK,mBAAmB,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,mBAAmB,KAAK,gBAAgB,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,MAAM,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,WAAW,aAAa,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,SAAS,aAAa,IAAI,EAAE,CAAC,OAAO,kBAAkB,KAAK,iBAAiB,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,oBAAoB,KAAK,mBAAmB,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,WAAW,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,kBAAkB,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,MAAM,EAAE,CAAC,OAAO,oBAAoB,KAAK,mBAAmB,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,wBAAwB,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,MAAM,EAAE,CAAC,OAAO,oBAAoB,KAAK,mBAAmB,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,6BAA6B,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,WAAW,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,MAAM,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,WAAW,aAAa,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,oBAAoB,KAAK,mBAAmB,KAAK,WAAW,aAAa,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,MAAM,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,QAAQ,KAAK,YAAY,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAE1mE,GAAG0mE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,OAAO,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,MAAM,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,MAAM,EAAE,KAAK,WAAW,KAAK,SAAS,aAAa,CAAC,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,uBAAuB,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,SAAS,aAAa,EAAE,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,IAAI,KAAK,IAAI,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,SAAS,KAAK,SAAS,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,SAAS,KAAK,SAAS,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,SAAS,aAAa,EAAE,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,IAAI,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,kBAAkB,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,SAAS,KAAK,SAAS,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,SAAS,aAAa,EAAE,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,IAAI,KAAK,IAAI,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,eAAe,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAE5mE,GAAG4mE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,sBAAsB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,iBAAiB,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,iBAAiB,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,cAAc,KAAK,YAAY,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,yBAAyB,KAAK,qBAAqB,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,iBAAiB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,YAAY,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAE9mE,GAAG8mE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,aAAa,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,iBAAiB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,SAAS,KAAK,SAAS,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,iBAAiB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEhnE,GAAGgnE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,yBAAyB,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,QAAQ,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,OAAO,EAAE,CAAC,SAAS,WAAW,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,IAAI,KAAK,SAAS,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,IAAI,KAAK,SAAS,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,OAAO,UAAU,KAAK,SAAS,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,QAAQ,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,eAAe,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,0BAA0B,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,MAAM,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,MAAM,KAAK,MAAM,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAElnE,GAAGknE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,YAAY,SAAS,aAAa,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,QAAQ,EAAE,CAAC,OAAO,wBAAwB,KAAK,qBAAqB,KAAK,MAAM,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,OAAO,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,aAAa,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,QAAQ,EAAE,CAAC,OAAO,wBAAwB,KAAK,qBAAqB,KAAK,MAAM,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,OAAO,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,MAAM,KAAK,MAAM,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,MAAM,KAAK,MAAM,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,kBAAkB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,MAAM,KAAK,MAAM,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,MAAM,KAAK,MAAM,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,kBAAkB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEpnE,GAAGonE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,iBAAiB,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,MAAM,EAAE,CAAC,OAAO,qBAAqB,KAAK,mBAAmB,KAAK,MAAM,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,wBAAwB,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,MAAM,EAAE,CAAC,OAAO,qBAAqB,KAAK,mBAAmB,KAAK,MAAM,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,WAAW,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,SAAS,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,OAAO,sBAAsB,KAAK,qBAAqB,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,6BAA6B,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,YAAY,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEtnE,GAAGsnE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,QAAQ,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,eAAe,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,YAAY,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,YAAY,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAExnE,GAAGwnE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,eAAe,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,WAAW,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,SAAS,aAAa,IAAI,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,kBAAkB,KAAK,iBAAiB,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,UAAU,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,WAAW,KAAK,WAAW,KAAK,QAAQ,EAAE,CAAC,OAAO,IAAI,KAAK,IAAI,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAE1nE,GAAG0nE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,gBAAgB,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,OAAO,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,iBAAiB,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,WAAW,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,SAAS,aAAa,IAAI,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,mBAAmB,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,WAAW,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,SAAS,aAAa,IAAI,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,mBAAmB,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,WAAW,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,SAAS,aAAa,IAAI,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,eAAe,KAAK,SAAS,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,mBAAmB,KAAK,kBAAkB,KAAK,OAAO,aAAa,GAAG,aAAa,EAAE,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAE5nE,GAAG4nE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,WAAW,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,MAAM,EAAE,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,MAAM,EAAE,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,MAAM,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAE9nE,GAAG8nE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,GAAG,KAAK,UAAU,KAAK,SAAS,EAAE,CAAC,MAAM,GAAG,KAAK,OAAO,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,IAAI,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,UAAU,KAAK,SAAS,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,IAAI,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,aAAa,KAAK,YAAY,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,mBAAmB,KAAK,kBAAkB,KAAK,OAAO,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,eAAe,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,MAAM,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,aAAa,KAAK,YAAY,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,WAAW,KAAK,UAAU,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,gBAAgB,KAAK,cAAc,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,mBAAmB,KAAK,iBAAiB,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,UAAU,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,MAAM,KAAK,MAAM,KAAK,SAAS,aAAa,EAAE,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,kBAAkB,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,kBAAkB,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,mBAAmB,KAAK,kBAAkB,KAAK,OAAO,aAAa,GAAG,aAAa,EAAE,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEhoE,GAAGgoE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,sBAAsB,SAAS,SAAS,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,SAAS,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,WAAW,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,SAAS,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,mBAAmB,SAAS,SAAS,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEloE,GAAGkoE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,MAAM,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEpoE,GAAGooE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,eAAe,SAAS,SAAS,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,QAAQ,EAAE,CAAC,OAAO,eAAe,KAAK,cAAc,KAAK,UAAU,EAAE,CAAC,OAAO,WAAW,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,QAAQ,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,QAAQ,EAAE,CAAC,OAAO,2BAA2B,KAAK,yBAAyB,KAAK,MAAM,CAAC,EAAE,QAAQ,CAAC,SAAS,eAAe,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,SAAS,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,YAAY,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,aAAa,KAAK,YAAY,KAAK,MAAM,CAAC,EAAE,QAAQ,CAAC,UAAU,SAAS,OAAO,CAAC,EAAE,CAAC,SAAS,yBAAyB,SAAS,SAAS,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEtoE,GAAGsoE,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,OAAO,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,SAAS,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,OAAO,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,iBAAiB,KAAK,gBAAgB,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,iBAAiB,eAAe,KAAK,OAAO,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,iBAAiB,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,WAAW,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,iBAAiB,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,eAAe,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,aAAa,KAAK,YAAY,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,KAAK,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,KAAK,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,CAAC,EAAMC,GAAG,KAAK,CAAC,aAAa,CAAC,IAAI9nE,EAAE,CAACwlE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,EAAE,EAAExoE,EAAE,CAAC,EAAE,OAAO,GAAGY,EAAE,IAAI,GAAG,EAAE,IAAI,CAAC,EAAE,KAAK,UAAUZ,EAAE,OAAO,CAAC,EAAEK,KAAK,EAAEA,EAAE,UAAUA,EAAE,GAAG,CAAC,CAAC,CAAC,CAAC,WAAW,UAAU,CAAC,OAAO,KAAK,YAAY,KAAK,UAAU,IAAI,KAAK,CAAC,eAAeO,EAAEZ,EAAE,CAAC,EAAE,CAAC,IAAI,EAAEY,EAAE,KAAKP,EAAE,CAAC,EAAEwB,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAEC,EAAE,EAAE,OAAO,CAACiC,EAAEC,KAAKD,EAAEC,EAAE,MAAM,KAAK,QAAQA,CAAC,EAAEA,EAAE,GAAG,WAAW,aAAa,EAAE5D,EAAE,KAAK2D,EAAEC,EAAE,KAAK,EAAEA,EAAE,KAAK,QAAQpC,EAAE,KAAKmC,EAAEC,EAAE,KAAK,GAAGA,EAAE,OAAO,MAAMA,EAAE,MAAM,SAAS,IAAInC,EAAE,KAAKkC,EAAEC,EAAE,KAAK,EAAED,GAAG,CAAC,CAAC,EAAEhC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEU,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE1C,GAAG,OAAO0C,EAAE,KAAK,oBAAoB1C,EAAE,MAAM,EAAE,EAAE,KAAK,oBAAoBA,EAAE,OAAO,GAAG,IAAI4C,EAAE,OAAO,KAAKb,CAAC,EAAEa,EAAE,QAAQoB,GAAG,CAAC,IAAIC,EAAElC,EAAEiC,GAAGC,EAAE,WAAW,QAAQ,CAACoD,EAAE,IAAI,CAAC,GAAG,CAAC5C,EAAE,CAACC,CAAC,EAAEuhE,GAAG5+D,CAAC,EAAE1C,EAAE5C,EAAE0C,GAAG,GAAGE,EAAE,SAAS,KAAK,CAAC,IAAIC,EAAED,EAAE,QAAQ,QAAQD,CAAC,EAAE,GAAGE,IAAI,GAAG,CAAC,IAAI0C,EAAE,GAAG7C,KAAKG,IAAIX,EAAE,WAAW,GAAGqD,CAAC,CAAC,CAACrD,EAAE,OAAO,KAAKU,CAAC,EAAEA,EAAE,SAAS,KAAKV,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,OAAO,KAAK,CAAC,EAAE,SAAS,EAAErB,EAAE,QAAQoB,GAAG,CAAC,IAAIC,EAAElC,EAAEiC,GAAGC,EAAE,SAAS,SAAS,GAAG,EAAE,KAAKA,CAAC,CAAC,CAAC,EAAE,OAAO,KAAK,CAAC,EAAE,QAAQD,GAAG,CAAC,GAAG,CAACC,CAAC,EAAEgiE,GAAGjiE,CAAC,EAAEqD,EAAEtF,EAAEkC,GAAGoD,GAAG,OAAOA,EAAE,aAAa,EAAErD,GAAG,EAAE,KAAKqD,CAAC,EAAE,CAAC,EAAE,OAAO,KAAK3E,CAAC,EAAE,OAAO,EAAE,OAAO,KAAKA,CAAC,EAAE,QAAQsB,GAAG,CAAC,GAAG,CAACC,CAAC,EAAEgiE,GAAGjiE,CAAC,EAAEqD,EAAEtF,EAAEkC,GAAGoD,IAAIA,EAAE,aAAa3E,EAAEsB,GAAGhC,EAAE,KAAKqF,CAAC,EAAE,CAAC,EAAErF,EAAE3B,EAAE,IAAIwC,EAAE,CAAC,EAAEjC,EAAE,SAAS,MAAMA,EAAE,QAAQ,UAAU,OAAOiC,EAAEjC,EAAE,QAAQ,SAAS,OAAO,CAACoD,EAAEC,KAAKD,EAAEC,EAAE,UAAU,MAAM,KAAK,YAAYA,CAAC,EAAED,GAAG,CAAC,CAAC,GAAG,IAAIlB,EAAE,CAAC,MAAMf,EAAE,OAAOC,EAAE,QAAQ,EAAE,QAAQH,EAAE,aAAaxB,EAAE,UAAUL,EAAE,UAAU6C,CAAC,EAAE,OAAOf,EAAE,OAAO,IAAIgB,EAAE,UAAUhB,GAAGgB,CAAC,CAAC,oBAAoBlC,EAAE,CAAC,OAAO,OAAO,KAAKA,GAAG,CAAC,CAAC,EAAE,OAAO,CAACZ,EAAE,KAAKA,EAAEY,EAAE,GAAG,MAAM,EAAEZ,GAAG,CAAC,CAAC,CAAC,CAAC,QAAQY,EAAE,CAAC,IAAIZ,EAAE0lE,GAAG9kE,EAAE,EAAE,GAAG,KAAK,UAAUA,EAAE,KAAK,CAAC,EAAEA,EAAE,MAAM,OAAOA,EAAE,KAAK,CAAC,GAAG,IAAI,EAAE,CAAC,KAAKA,EAAE,KAAK,GAAGA,EAAE,GAAG,SAASZ,EAAE,SAAS,YAAYY,EAAE,OAAO,CAAC,GAAG,IAAIP,GAAGA,EAAE,WAAW,GAAG,EAAEA,EAAE,MAAM,CAAC,EAAEA,CAAC,EAAE,OAAO,CAAC,EAAE,SAAS,CAAC,EAAE,YAAY,CAAC,EAAE,WAAW,CAAC,EAAE,SAASO,EAAE,KAAK,QAAQZ,EAAE,OAAO,EAAE,OAAOA,EAAE,QAAQ,OAAO,EAAE,YAAYA,EAAE,OAAO,OAAO,CAACK,EAAEwB,KAAKxB,EAAEwB,EAAE,MAAM,CAAC,KAAKA,EAAE,KAAK,gBAAgBA,EAAE,MAAM,cAAcA,EAAE,GAAG,EAAExB,GAAG,CAAC,CAAC,GAAGL,EAAE,OAAO,OAAO,EAAE,WAAWA,EAAE,MAAM,OAAO,CAACK,EAAEwB,IAAI,CAAC,IAAIC,EAAED,EAAE,KAAKE,EAAE,OAAOF,EAAE,KAAK,CAAC,IAAI,SAASE,EAAE4mE,GAAG/nE,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAE4mE,GAAG/nE,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,WAAWE,EAAE6mE,GAAGhoE,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAE6mE,GAAGhoE,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,SAASE,EAAE8mE,GAAGjoE,EAAE,KAAKiB,EAAE,OAAOA,EAAE,cAAc,CAAC,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAE8mE,GAAGjoE,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,WAAWE,EAAE+mE,GAAGloE,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAE+mE,GAAGloE,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,OAAOE,EAAEgnE,GAAGnoE,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAEgnE,GAAGnoE,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,SAASE,EAAEinE,GAAGpoE,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAEinE,GAAGpoE,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,QAAQE,EAAEknE,GAAGroE,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAEknE,GAAGroE,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,UAAUE,EAAEmnE,GAAGtoE,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAEmnE,GAAGtoE,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,QAAQE,EAAEonE,GAAGvoE,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAEonE,GAAGvoE,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,UAAUE,EAAEqnE,GAAGxoE,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAEqnE,GAAGxoE,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,OAAOE,EAAEsnE,GAAGzoE,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAEsnE,GAAGzoE,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,SAAS,IAAI,UAAU,MAAM,QAAQ,MAAM,IAAI,MAAM,2BAA2BA,EAAE,gBAAgBjB,EAAE,IAAI,CAAC,CAAC,OAAOP,EAAEwB,EAAE,MAAM,CAAC,MAAME,EAAE,KAAKD,CAAC,EAAEzB,CAAC,EAAE,CAAC,CAAC,GAAG,CAAC,CAAC,YAAYO,EAAE,CAAC,IAAIZ,EAAEY,EAAE,QAAQ,EAAE,CAAC,EAAEP,EAAE,CAAC,EAAEwB,EAAE,CAAC,EAAE7B,GAAG,OAAO6B,EAAE7B,EAAE,OAAO,CAAC2C,EAAEC,KAAKD,EAAEC,EAAE,MAAM,KAAK,QAAQA,CAAC,EAAEA,EAAE,KAAK,SAASvC,EAAE,KAAKsC,EAAEC,EAAE,KAAK,EAAED,GAAG,CAAC,CAAC,GAAG,IAAIb,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAEnB,EAAE,UAAU,SAAS,QAAQ+B,GAAG,CAAC,GAAG,CAACC,CAAC,EAAEqjE,GAAGtjE,EAAE,IAAI,EAAEE,EAAE,CAAC,KAAKD,EAAE,GAAG,cAAc,OAAO,CAAC,EAAE,WAAW,CAAC,EAAE,SAAS,QAAQ,YAAY,CAAC,EAAE,WAAW,CAAC,MAAM,CAAC,MAAM0mE,GAAG3mE,EAAE,IAAI,EAAE,KAAK,OAAO,CAAC,EAAE,SAAS,CAAC,CAAC,EAAEE,EAAE,aAAaF,EAAE,KAAKb,EAAE,KAAKe,CAAC,EAAEhB,EAAEe,GAAGC,CAAC,CAAC,EAAE,OAAO,KAAKhB,CAAC,EAAE,QAAQc,GAAG,CAAC,IAAIC,EAAEf,EAAEc,GAAGC,EAAE,WAAW,QAAQ,CAACC,EAAEC,IAAI,CAAC,GAAG,CAAC,EAAE,CAACmB,CAAC,EAAEgiE,GAAGpjE,CAAC,EAAEwE,EAAExF,EAAE,GAAG,GAAGwF,EAAE,SAAS,KAAK,CAAC,IAAIxC,EAAEwC,EAAE,QAAQ,QAAQpD,CAAC,EAAE,GAAGY,IAAI,GAAG,CAAC,IAAIJ,EAAE,GAAG,KAAKI,IAAIjC,EAAE,WAAWE,GAAG2B,CAAC,CAAC,CAAC7B,EAAE,OAAO,KAAKyE,CAAC,EAAEA,EAAE,SAAS,KAAKzE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,IAAIX,EAAErB,EAAE,IAAIA,EAAE,UAAU,UAAU,QAAQ+B,GAAG,CAAC,GAAG,CAACC,EAAEC,CAAC,EAAEojE,GAAGhkE,EAAEU,EAAE,KAAK,EAAEG,EAAEjB,EAAEe,GAAGE,GAAG,OAAOA,EAAE,cAAcD,EAAEd,EAAE,KAAKe,CAAC,EAAE,CAAC,EAAE,IAAIJ,EAAE,KAAK,mBAAmB9B,CAAC,EAAE,MAAM,CAAC,MAAMiB,EAAE,OAAOC,EAAE,QAAQC,EAAE,QAAQ1B,EAAE,aAAa,EAAE,UAAUqC,CAAC,CAAC,CAAC,mBAAmB9B,EAAE,CAAC,MAAM,CAAC,WAAWA,EAAE,UAAU,KAAK,OAAOA,EAAE,UAAU,SAAS,OAAO,CAACZ,EAAE,KAAKA,EAAE,EAAE,MAAM,KAAK,mBAAmB,CAAC,EAAEA,GAAG,CAAC,CAAC,EAAE,QAAQY,EAAE,UAAU,UAAU,OAAO,CAACZ,EAAE,KAAKA,EAAE,EAAE,MAAM,KAAK,mBAAmB,EAAEY,EAAE,GAAG,EAAEZ,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBY,EAAEZ,EAAE,CAAC,IAAI,EAAEY,EAAE,KAAK,OAAOZ,GAAG,OAAO,EAAEA,EAAE,IAAI,CAAC,KAAK,EAAE,MAAMY,EAAE,IAAI,CAAC,CAAC,EAAE,SAAS2oE,GAAGzpE,EAAE,CAAC,IAAI,EAAEya,EAAE,EAAE,OAAO,GAAG,OAAO,EAAE,MAAM,YAAY,OAAO,EAAE,KAAKza,CAAC,EAAE,GAAG,OAAO,QAAQ,YAAY,OAAO,IAAI,OAAOA,EAAE,QAAQ,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,kFAAkF,CAAC,CAAC,SAAS0pE,GAAG1pE,EAAE,EAAE,CAAC,IAAIE,EAAE,MAAM,QAAQF,CAAC,EAAE,OAAO,aAAa,MAAM,KAAKA,CAAC,EAAEypE,GAAGzpE,CAAC,EAAE,OAAO,EAAEE,EAAEA,EAAE,YAAY,CAAC,CAAC,SAAS2oE,GAAG7oE,EAAE,EAAEE,EAAEI,EAAE,GAAG,CAAC,IAAIC,EAAEP,EAAE,GAAG,OAAOO,GAAG,KAAKmpE,GAAGnpE,EAAE,EAAED,CAAC,EAAEJ,CAAC,CAAC,SAAS+oE,GAAGjpE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,GAAG,OAAOM,EAAEA,EAAE,EAAEJ,CAAC,CAAC,SAAS6oE,GAAG/oE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,IAAI,CAAC,EAAEO,EAAED,EAAE,GAAG,KAAKA,EAAE,EAAEA,EAAE,GAAG,KAAKA,EAAE,EAAEJ,EAAE,OAAO,OAAOK,GAAG,SAASA,EAAE,SAASA,EAAE,EAAE,CAAC,CAAC,SAASipE,GAAGxpE,EAAE,CAAC,OAAO,OAAOA,GAAG,WAAWA,EAAEwlE,GAAGxlE,IAAIA,EAAE,CAAC,KAAKwlE,GAAG,SAAS,KAAKA,GAAG,QAAQ,MAAM,UAAU,KAAKA,GAAG,SAAS,KAAKA,GAAG,SAAS,KAAKA,GAAG,QAAQ,KAAKA,GAAG,SAAS,MAAM,QAAQ,KAAKA,GAAG,QAAQ,MAAM,OAAO,KAAKA,GAAG,UAAU,MAAM,UAAU,KAAKA,GAAG,UAAU,MAAM,SAAS,QAAQ,OAAO,IAAI,CAAC,CAAC,SAAS+D,GAAGvpE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,GAAG,OAAOM,GAAGA,EAAE,KAAKA,EAAE,KAAK,KAAKJ,CAAC,CAAC,SAASmpE,GAAGrpE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,GAAG,OAAOM,GAAGA,EAAE,KAAKkpE,GAAGlpE,EAAE,IAAI,EAAEJ,CAAC,CAAC,SAASopE,GAAGtpE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,GAAG,OAAOM,GAAGA,EAAE,MAAMA,EAAE,KAAK,KAAKA,EAAE,KAAK,KAAK,IAAIC,GAAGipE,GAAGjpE,CAAC,CAAC,EAAEL,CAAC,CAAC,SAASypE,GAAG3pE,EAAE,CAAC,GAAG,CAACA,EAAE,YAAY,OAAOA,EAAE,KAAK,KAAKA,EAAE,IAAI,IAAI,GAAG,OAAO,EAAE,MAAM,SAAS,EAAE,KAAK,SAAS,EAAE,KAAK,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,SAASmpE,GAAGnpE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,GAAG,OAAOM,GAAGA,EAAE,MAAMqpE,GAAGrpE,EAAE,KAAK,EAAEJ,CAAC,CAAC,SAAS8oE,GAAGhpE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,GAAG,OAAOM,IAAIA,EAAE,KAAK,GAAGA,EAAE,KAAK,EAAE,OAAOA,EAAE,KAAK,EAAEA,EAAE,KAAK,IAAI,CAAC,GAAG,IAAIC,GAAG,OAAOA,GAAG,SAASA,EAAE,SAASA,EAAE,EAAE,CAAC,EAAEL,CAAC,CAAC,SAAS4oE,GAAG9oE,EAAE,EAAEE,EAAEI,EAAE,GAAG,CAAC,IAAIC,EAAEP,EAAE,GAAG,OAAOO,GAAGA,EAAE,MAAMA,EAAE,KAAK,EAAEA,EAAE,KAAK,EAAE,IAAI,GAAGmpE,GAAG,EAAEppE,CAAC,CAAC,EAAEJ,CAAC,CAAC,SAASkpE,GAAGppE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,GAAG,OAAOM,GAAGA,EAAE,MAAMA,EAAE,KAAK,MAAMA,EAAE,KAAK,MAAM,IAAIC,GAAGopE,GAAGppE,CAAC,CAAC,EAAEL,CAAC,CAAC,SAASgpE,GAAGlpE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,GAAG,OAAOM,GAAGA,EAAE,MAAMA,EAAE,KAAK,EAAEA,EAAE,KAAK,EAAEJ,CAAC,CAAC,IAAI0pE,GAAG,KAAK,CAAC,YAAY9oE,EAAEZ,EAAE,EAAE,CAAC,KAAK,KAAKY,EAAE,KAAK,UAAUZ,EAAE,KAAK,QAAQ,EAAE,KAAK,OAAO,CAAC,EAAE,KAAK,MAAM,CAAC,EAAE,KAAK,OAAOY,EAAE,WAAW,IAAIP,GAAG,KAAK,SAASA,CAAC,CAAC,EAAEO,EAAE,UAAU,OAAO,KAAK,MAAM,OAAO,KAAKA,EAAE,QAAQ,EAAE,OAAO,CAACP,EAAEwB,KAAKxB,EAAEwB,GAAG,KAAK,QAAQA,CAAC,EAAExB,GAAG,CAAC,CAAC,EAAE,CAAC,SAASO,EAAE,CAAC,OAAOilE,GAAGjlE,EAAE,KAAK,UAAU,KAAK,OAAO,CAAC,CAAC,QAAQA,EAAEZ,EAAE,CAAC,IAAI,EAAE,KAAK,KAAK,SAASY,GAAG,GAAG,EAAE,QAAQ,KAAK,OAAOilE,GAAGjlE,EAAE,KAAK,UAAU,KAAK,OAAO,EAAE,GAAG,EAAE,GAAG,MAAM,EAAE,GAAG,KAAK,OAAOioE,GAAG,KAAK,KAAK,SAASjoE,EAAEZ,CAAC,EAAE,GAAG,EAAE,GAAG,KAAK,OAAO2oE,GAAG,KAAK,KAAK,SAAS/nE,EAAEZ,CAAC,EAAE,GAAG,EAAE,GAAG,KAAK,OAAO+oE,GAAG,KAAK,KAAK,SAASnoE,EAAEZ,CAAC,EAAE,GAAG,EAAE,OAAO,KAAK,OAAOipE,GAAG,KAAK,KAAK,SAASroE,EAAEZ,CAAC,EAAE,GAAG,EAAE,MAAM,KAAK,OAAOmpE,GAAG,KAAK,KAAK,SAASvoE,EAAEZ,CAAC,EAAE,GAAG,EAAE,MAAM,KAAK,CAAC,GAAG,EAAE,KAAK,GAAG,MAAM,EAAE,KAAK,GAAG,KAAK,OAAO8oE,GAAG,KAAK,KAAK,SAASloE,EAAEZ,CAAC,EAAE,GAAG,EAAE,KAAK,GAAG,KAAK,OAAO4oE,GAAG,KAAK,KAAK,SAAShoE,EAAEZ,CAAC,EAAE,GAAG,EAAE,KAAK,OAAO,KAAK,OAAOkpE,GAAG,KAAK,KAAK,SAAStoE,EAAEZ,CAAC,EAAE,GAAG,EAAE,KAAK,GAAG,KAAK,OAAOgpE,GAAG,KAAK,KAAK,SAASpoE,EAAEZ,CAAC,EAAE,GAAG,EAAE,KAAK,MAAM,KAAK,OAAOopE,GAAG,KAAK,KAAK,SAASxoE,EAAEZ,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,EAAM2pE,GAAG,CAAC,EAAEzpE,GAAGypE,GAAG,CAAC,gBAAgB,IAAI39C,GAAG,IAAI,IAAIoN,GAAG,KAAK,IAAIE,GAAG,MAAM,IAAIE,GAAG,IAAI,IAAIZ,EAAE,KAAK,IAAIc,GAAG,IAAI,IAAIE,GAAG,IAAI,IAAIE,GAAG,OAAO,IAAIE,GAAG,OAAO,IAAIE,GAAG,KAAK,IAAIE,GAAG,MAAM,IAAIE,GAAG,KAAK,IAAIE,GAAG,MAAM,IAAIE,GAAG,MAAM,IAAIE,GAAG,QAAQ,IAAIsB,GAAG,UAAU,IAAIE,GAAG,cAAc,IAAIU,GAAG,UAAU,IAAIK,GAAG,YAAY,IAAIE,GAAG,YAAY,IAAIE,GAAG,YAAY,IAAIE,GAAG,eAAe,IAAIT,GAAG,SAAS,IAAIW,GAAG,iBAAiB,IAAI2T,GAAG,cAAc,IAAIzT,GAAG,YAAY,IAAIE,GAAG,OAAO,IAAI1N,GAAG,KAAK,IAAIE,GAAE,KAAK,IAAI0N,GAAG,YAAY,IAAIG,GAAG,MAAM,IAAI3N,GAAG,QAAQ,IAAItE,GAAG,OAAO,IAAImQ,GAAG,SAAS,IAAIgC,GAAG,SAAS,IAAIE,GAAG,SAAS,IAAIE,GAAG,SAAS,IAAIE,GAAG,OAAO,IAAII,GAAG,OAAO,IAAIF,GAAG,gBAAgB,IAAIM,GAAG,OAAO,IAAIE,GAAG,gBAAgB,IAAII,GAAG,IAAI,IAAIE,GAAG,KAAK,IAAIE,GAAG,aAAa,IAAIsS,GAAG,QAAQ,IAAIpS,GAAG,OAAO,IAAIE,GAAG,cAAc,IAAIE,GAAG,aAAa,IAAIE,GAAG,gBAAgB,IAAIE,GAAG,KAAK,IAAIE,GAAG,WAAW,IAAIE,GAAG,IAAI,IAAI5H,GAAG,SAAS,IAAIoI,GAAG,IAAI,IAAIE,GAAG,QAAQ,IAAI4Q,GAAG,OAAO,IAAI1Q,GAAG,IAAI,IAAIE,GAAG,oBAAoB,IAAIyQ,GAAG,MAAM,IAAIrR,GAAG,IAAI,IAAIc,GAAG,cAAc,IAAI0B,GAAG,IAAI,IAAIE,GAAG,WAAW,IAAIE,GAAG,MAAM,IAAIE,GAAG,IAAI,IAAII,GAAG,IAAI,IAAI4K,GAAG,KAAK,IAAI1Q,GAAG,MAAM,IAAIgG,GAAG,SAAS,IAAIpL,GAAG,MAAM,IAAIyZ,GAAG,OAAO,IAAInO,GAAG,SAAS,IAAI2N,GAAG,QAAQ,IAAIzN,GAAG,aAAa,IAAIE,GAAG,KAAK,IAAIsK,GAAG,KAAK,IAAIza,GAAG,MAAM,IAAIglB,GAAG,YAAY,IAAI/G,GAAG,MAAM,IAAItD,GAAG,SAAS,IAAItK,GAAG,MAAM,IAAIE,GAAG,MAAM,IAAIE,GAAG,UAAU,IAAIE,GAAG,KAAK,IAAIE,GAAG,UAAU,IAAIE,GAAG,OAAO,IAAIkU,GAAG,SAAS,IAAIjU,GAAG,2BAA2B,IAAIE,GAAG,IAAI,IAAIE,GAAG,MAAM,IAAIE,GAAG,WAAW,IAAIW,GAAG,WAAW,IAAII,GAAG,UAAU,IAAIE,GAAG,WAAW,IAAIE,GAAG,WAAW,IAAIE,GAAG,UAAU,IAAIE,GAAG,WAAW,IAAIE,GAAG,OAAO,IAAImS,GAAG,WAAW,IAAI/R,GAAG,OAAO,IAAI5U,GAAG,IAAI,IAAI0P,GAAG,QAAQ,IAAIoF,GAAG,UAAU,IAAIE,GAAG,kBAAkB,IAAIE,GAAG,QAAQ,IAAIE,GAAG,KAAK,IAAIE,GAAG,SAAS,IAAIG,GAAG,IAAI,IAAI7F,GAAG,QAAQ,IAAI+F,GAAG,UAAU,IAAIE,GAAG,IAAI,IAAIE,GAAG,QAAQ,IAAIE,GAAG,cAAc,IAAI2I,GAAG,IAAI,IAAItY,EAAE,aAAa,IAAI6P,GAAG,YAAY,IAAIE,GAAG,IAAI,IAAI1U,GAAG,KAAK,IAAI6O,GAAG,SAAS,IAAI+F,GAAG,OAAO,IAAIrW,GAAG,KAAK,IAAIsV,GAAG,SAAS,IAAIiB,GAAG,GAAG,IAAIpd,EAAE,aAAa,IAAIsd,GAAG,IAAI,IAAIE,GAAG,MAAM,IAAIE,GAAG,MAAM,IAAIE,GAAG,MAAM,IAAIE,GAAG,MAAM,IAAIE,GAAG,KAAK,IAAIM,GAAG,IAAI,IAAI7H,GAAG,MAAM,IAAI+H,GAAG,MAAM,IAAI/Z,GAAG,KAAK,IAAIia,GAAG,aAAa,IAAIE,GAAG,YAAY,IAAIE,GAAG,qBAAqB,IAAIE,GAAG,KAAK,IAAIE,GAAG,YAAY,IAAIM,GAAG,aAAa,IAAIE,GAAG,qBAAqB,IAAIE,GAAG,cAAc,IAAIE,GAAG,MAAM,IAAIC,GAAG,KAAK,IAAIvX,GAAG,WAAW,IAAIyX,GAAG,KAAK,IAAIE,GAAG,MAAM,IAAIE,GAAG,QAAQ,IAAItQ,EAAE,QAAQ,IAAIwQ,GAAG,UAAU,IAAIE,GAAG,UAAU,IAAIE,GAAG,UAAU,IAAIE,GAAG,UAAU,IAAIE,GAAG,KAAK,IAAIoC,GAAG,MAAM,IAAIlC,GAAG,MAAM,IAAIE,GAAG,OAAO,IAAIzK,GAAG,UAAU,IAAI+O,GAAG,aAAa,IAAInK,GAAG,KAAK,IAAI+F,GAAG,gBAAgB,IAAIE,GAAG,eAAe,IAAIE,GAAG,QAAQ,IAAIlR,GAAG,KAAK,IAAIoR,GAAG,OAAO,IAAIwL,GAAG,IAAI,IAAItL,GAAG,KAAK,IAAIE,GAAG,MAAM,IAAItR,GAAG,QAAQ,IAAIwR,GAAG,QAAQ,IAAIE,GAAG,QAAQ,IAAIE,GAAG,QAAQ,IAAIE,GAAG,QAAQ,IAAIE,GAAG,SAAS,IAAItI,GAAG,eAAe,IAAI+D,GAAG,OAAO,IAAIqP,GAAG,cAAc,IAAI3H,GAAG,SAAS,IAAIsH,GAAG,MAAM,IAAIjK,GAAG,KAAK,IAAIrM,GAAG,OAAO,IAAIE,GAAG,kBAAkB,IAAIuM,GAAG,QAAQ,IAAIE,GAAG,MAAM,IAAIE,GAAG,KAAK,IAAIE,GAAG,aAAa,IAAIE,GAAG,OAAO,IAAI2J,GAAG,IAAI,IAAIjT,GAAG,IAAI,IAAIvD,GAAG,IAAI,IAAI+M,GAAG,KAAK,IAAIpT,GAAG,OAAO,IAAIvQ,GAAG,SAAS,IAAI4jB,GAAG,SAAS,IAAIC,GAAG,SAAS,IAAI7a,GAAG,SAAS,IAAI8a,GAAG,SAAS,IAAIC,GAAG,SAAS,IAAIC,GAAG,KAAK,IAAIvM,GAAG,KAAK,IAAIyM,GAAG,UAAU,IAAI5b,GAAG,gBAAgB,IAAI8b,GAAG,OAAO,IAAIE,GAAG,mBAAmB,IAAIE,GAAG,QAAQ,IAAIE,GAAG,WAAW,IAAIC,GAAG,SAAS,IAAIC,GAAG,MAAM,IAAIjQ,GAAG,WAAW,IAAIoQ,GAAG,MAAM,IAAIjJ,GAAG,UAAU,IAAIjH,EAAE,CAAC,EAAE,IAAI0oC,GAAG,CAAC9pE,EAAE,EAAEE,EAAEI,EAAEupE,KAAK,CAAC,OAAO7pE,EAAE,GAAG,CAAC,IAAI,UAAU,IAAI,QAAQ,IAAI,MAAM,MAAM,CAACM,EAAE,IAAIwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAKwlE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,WAAW,IAAI,MAAM,MAAM,CAACI,EAAE,IAAIwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACI,EAAE,IAAIwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,UAAU,IAAI,MAAM,MAAM,CAACI,EAAE,IAAIwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,WAAW,MAAM,CAACI,EAAE,SAASwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,WAAW,MAAM,CAACI,EAAE,SAASwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACI,EAAE,IAAIwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,UAAU,MAAM,CAACI,EAAE,QAAQwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,UAAU,MAAM,CAACI,EAAE,QAAQwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACI,EAAE,IAAIwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,oBAAoB,MAAM,CAACI,EAAE,kBAAkBwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAM+pE,GAAG,CAAC/pE,EAAE,EAAEE,EAAEI,EAAEupE,KAAK,CAAC,OAAO7pE,EAAE,GAAG,CAAC,IAAI,MAAM,IAAI,aAAa,MAAM,CAACM,EAAE,IAAIwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAKwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACI,EAAE,MAAMwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAKwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACI,EAAE,MAAMwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAKwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACI,EAAE,MAAMwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACI,EAAE,MAAMwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAKwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,UAAU,MAAM,CAACI,EAAE,QAAQwlE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACI,EAAE,IAAIwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAKwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACI,EAAE,IAAIwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACI,EAAE,IAAIwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACI,EAAE,IAAIwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACI,EAAE,MAAMwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACI,EAAE,MAAMwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACI,EAAE,IAAIwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACI,EAAE,MAAMwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAKwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACI,EAAE,IAAIwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,aAAa,MAAM,CAACI,EAAE,WAAWwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAKwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAKwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACI,EAAE,MAAMwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAKwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,UAAU,MAAM,CAACI,EAAE,QAAQwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACI,EAAE,IAAIwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAKwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAKwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,WAAW,MAAM,CAACI,EAAE,SAASwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAKwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,SAAS,MAAM,CAACI,EAAE,OAAOwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAKwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACI,EAAE,IAAIwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,cAAc,MAAM,CAACI,EAAE,YAAYwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACI,EAAE,MAAMwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACI,EAAE,MAAMylE,GAAG/lE,EAAE,WAAW,GAAG,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAKwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,YAAY,MAAM,CAACI,EAAE,UAAUwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACI,EAAE,MAAMwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACI,EAAE,MAAMylE,GAAG/lE,EAAE,WAAW,GAAG,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAE,SAASgqE,GAAGhqE,EAAE,EAAEE,EAAE,GAAG,CAAC,GAAG,EAAE,OAAOF,GAAG,UAAU,OAAO,GAAG,UAAU,CAAC8mB,EAAE,OAAO9mB,EAAE,SAAS,EAAE,OAAO,IAAIE,EAAE,WAAWF,SAAS,cAAc,EAAE,QAAQM,EAAE,EAAEA,EAAEN,EAAE,OAAOM,IAAI,CAAC,IAAIC,EAAEP,EAAEM,GAAG,EAAE,EAAEA,GAAGwmB,EAAE,OAAOvmB,EAAE,GAAG,EAAE,GAAGA,IAAI,EAAE,IAAIL,EAAE,WAAWF,SAAS,cAAc,CAAC,CAAC,CAAC,CAAC,SAASiqE,GAAGjqE,EAAE,CAAC,MAAM,EAAE,OAAOA,GAAG,UAAUA,EAAE,KAAK,GAAG,EAAE,CAAC,EAAE,CAAC,SAASkqE,GAAGlqE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE6pE,GAAGnqE,EAAEE,CAAC,EAAEK,EAAE,CAAC0pE,GAAG3pE,CAAC,EAAE,GAAGC,GAAG,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,qFAAqFD,GAAG,EAAE,GAAGC,GAAG,EAAE,QAAQ,GAAG,CAACD,EAAE6pE,GAAG,EAAE,MAAM7pE,CAAC,CAAC,CAAC,EAAE,CAAC2pE,GAAG3pE,CAAC,EAAE,MAAM,IAAI,MAAM,mCAAmCA,GAAG,EAAE,OAAOA,CAAC,CAAC,SAAS6pE,GAAGnqE,EAAE,EAAE,CAAC,GAAG,OAAOA,GAAG,SAAS,OAAO,EAAE,GAAG,OAAO,GAAG,SAAS,OAAOA,EAAE,GAAGA,EAAE,SAAS,EAAE,OAAO,MAAM,IAAI,MAAM,oCAAoCA,SAAS,GAAG,EAAE,IAAIE,EAAE,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAEN,EAAE,OAAO,EAAEM,EAAE,CAAC,IAAIC,EAAEP,EAAEM,GAAG,EAAE,EAAEA,GAAG,GAAGC,GAAG,GAAG,GAAG,GAAGA,IAAI,EAAE,MAAM,IAAI,MAAM,oCAAoCP,SAAS,GAAG,EAAEE,EAAEI,GAAGC,GAAG,EAAEA,EAAE,CAAC,CAAC,OAAOL,CAAC,CAAC,IAAIkqE,GAAG,KAAK,CAAC,YAAYtpE,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAEC,EAAE,CAAC,KAAK,KAAKnB,EAAE,KAAK,MAAMZ,EAAE,KAAK,QAAQ,EAAE,KAAK,aAAaK,EAAE,KAAK,uBAAuBwB,EAAE,KAAK,YAAYC,EAAE,KAAK,eAAeC,EAAE,KAAK,QAAQ,CAAC,EAAE,KAAK,QAAQ,GAAG,KAAK,SAAS4gC,GAAG,CAAC,EAAElP,GAAG,KAAK,QAAQ,CAAC,CAAC,IAAI,IAAI,CAAC,OAAO,KAAK,SAAS,EAAE,CAAC,IAAI,QAAQ,CAAC,OAAO,KAAK,OAAO,CAAC,cAAc7yB,EAAE,CAAC,KAAK,QAAQ,QAAQZ,GAAG,EAAEY,GAAG,MAAM,CAACA,EAAE,IAAIZ,EAAE,OAAO,EAAE,IAAIA,EAAE,OAAO,QAAQ,CAAC,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAE,KAAK,QAAQ,GAAG,KAAK,SAAS,QAAQ,CAAC,CAAC,MAAM,CAAC,OAAO,KAAK,QAAQ,MAAM,CAAC,KAAKY,EAAE,CAAC,GAAG,KAAK,QAAQ,MAAM,IAAI,MAAM,eAAe,KAAK,+BAA+B,EAAE,GAAGA,EAAE,GAAGA,GAAG,KAAK,KAAK,EAAE,MAAM,IAAI,MAAM,4BAA4BA,yBAAyB,KAAK,KAAK,GAAG,EAAE,IAAIZ,EAAE,KAAK,QAAQY,GAAG,GAAGZ,EAAE,QAAQ,MAAM,IAAI,MAAM,eAAe,KAAK,8BAA8BY,uGAAuG,EAAE,OAAO,KAAK,iBAAiBZ,EAAE,QAAQ,IAAIA,EAAE,KAAK,GAAGA,EAAE,MAAM,CAAC,SAASY,EAAE,CAAC,OAAOA,EAAE,IAAIZ,GAAG,KAAK,KAAKA,CAAC,CAAC,CAAC,CAAC,MAAMY,EAAEZ,EAAE,CAAC,GAAG,KAAK,QAAQ,MAAM,IAAI,MAAM,eAAe,KAAK,+BAA+B,EAAE,GAAGY,EAAE,GAAG,CAAC,KAAK,aAAaA,GAAG,KAAK,QAAQ,MAAM,IAAI,MAAM,2BAA2BA,+CAA+C,KAAK,SAAS,EAAE,IAAI,EAAE,KAAK,QAAQA,IAAI,CAAC,EAAE,GAAGZ,EAAE,QAAQ,KAAK,MAAM,MAAM,IAAI,MAAM,eAAe,KAAK,8CAA8CY;AAAA,uCACvwzEZ,EAAE,mCAAmC,KAAK,QAAQ,EAAE,GAAG,KAAK,KAAK,IAAI,IAAI,KAAK,cAAc,MAAM,KAAK,aAAa,SAAS,KAAK,KAAK,aAAaA,EAAE,OAAO8pE,GAAG,KAAK,aAAa9pE,EAAE,MAAM,eAAe,KAAK,8CAA8CY,IAAI,EAAE,EAAE,KAAK,MAAM,IAAI,MAAM,eAAe,KAAK,8CAA8CA,sCAAsC,EAAE,GAAG,EAAE,QAAQ,MAAM,IAAI,MAAM,eAAe,KAAK,8CAA8CA,yCAAyC,EAAE,EAAE,OAAOZ,EAAEyzB,GAAGzzB,CAAC,EAAE,EAAE,QAAQ,GAAG,KAAK,QAAQY,GAAG,CAAC,CAAC,UAAUA,EAAEZ,EAAE,CAAC,GAAGY,EAAE,SAASZ,EAAE,OAAO,MAAM,IAAI,MAAM,eAAe,KAAK,kEAAkEY,EAAE,2CAA2CZ,EAAE,SAAS,EAAEY,EAAE,QAAQ,CAAC,EAAEP,IAAI,KAAK,MAAM,EAAEL,EAAEK,EAAE,CAAC,CAAC,CAAC,OAAOO,EAAEZ,EAAE,CAAC,GAAG,CAAC,CAACA,GAAGA,IAAI,KAAK,MAAM,MAAM,IAAI,MAAM,wBAAwB,KAAK,oCAAoCA,GAAG,EAAE,GAAGY,EAAEA,EAAEA,EAAE,MAAM,EAAE,KAAK,KAAK,CAAC,MAAM,CAACA,EAAE,CAAC,EAAE,QAAQP,EAAE,EAAEA,EAAE,KAAK,KAAK,EAAEA,IAAIO,EAAE,KAAKP,CAAC,CAAC,CAAC,GAAGO,EAAE,SAAS,EAAE,OAAOyrB,GAAG,CAAC,EAAE,CAAC,CAAC,EAAE,OAAO,KAAK,YAAY,CAAC,EAAE,IAAI,EAAE,KAAK,SAASzrB,CAAC,EAAE,OAAOkpE,GAAG,KAAK,aAAa,EAAE,GAAG,MAAM,8BAA8B,EAAEp6B,GAAG,EAAE,CAAC,CAAC,CAAC,OAAO9uC,EAAE,CAAC,GAAG,CAAC,CAACA,GAAGA,IAAI,KAAK,MAAM,MAAM,IAAI,MAAM,wBAAwB,KAAK,oCAAoCA,GAAG,EAAE,GAAG,KAAK,KAAK,IAAI,EAAE,OAAOyrB,GAAG,CAAC,EAAE,CAAC,CAAC,EAAE,OAAO,KAAK,YAAY,CAAC,EAAE,IAAIrsB,EAAE,CAAC,EAAE,QAAQK,EAAE,EAAEA,EAAE,KAAK,KAAK,EAAEA,IAAIL,EAAE,KAAKK,CAAC,EAAE,IAAI,EAAE,KAAK,SAASL,CAAC,EAAE,OAAO8pE,GAAG,KAAK,aAAa,EAAE,GAAG,MAAM,mDAAmD,KAAK,wCAAwC,EAAE,GAAG,QAAQ,EAAExtC,GAAG,EAAE,CAAC,CAAC,CAAC,QAAQ17B,EAAEZ,EAAE,CAAC,GAAGA,EAAE,QAAQ,KAAK,MAAM,MAAM,IAAI,MAAM,wBAAwB,KAAK,8BAA8BA,EAAE,OAAO,EAAE,GAAGY,EAAE,SAASZ,EAAE,MAAM,GAAG,MAAM,IAAI,MAAM,sDAAsDY,EAAE,cAAcZ,EAAE,MAAM,IAAI,EAAE,IAAI,EAAE,KAAK,IAAI,GAAGY,CAAC,EAAE,GAAG,CAAC,KAAK,aAAa,GAAG,KAAK,QAAQ,MAAM,IAAI,MAAM,mCAAmC,UAAU,KAAK,UAAU,EAAE,KAAK,UAAUA,EAAEmwC,GAAG/wC,EAAE,CAAC,CAAC,CAAC,CAAC,MAAMY,EAAEZ,EAAE,CAAC,GAAGA,EAAE,QAAQ,KAAK,MAAM,MAAM,IAAI,MAAM,wBAAwB,KAAK,8BAA8BA,EAAE,OAAO,EAAE,IAAI,EAAE,EAAEK,EAAEO,EAAE,IAAIoB,IAAI,GAAGA,EAAE,EAAE,EAAE,GAAG,IAAIhC,EAAE,MAAM,GAAG,MAAM,IAAI,MAAM;AAAA;AAAA,UAE/pE,6BAA6BA,EAAE,OAAO,EAAE,GAAG,CAAC,KAAK,aAAaY,EAAE,SAAS,KAAK,QAAQ,MAAM,IAAI,MAAM,2DAA2D,KAAK,eAAeA,EAAE,sEAAsE,EAAE,IAAIiB,EAAE,IAAI,EAAE,EAAE7B,EAAE,KAAK,EAAE8B,EAAE,CAAC,EAAEyxB,EAAE,IAAI,CAACvzB,EAAEg8B,EAAEh8B,EAAE,CAAC,EAAE,EAAE6B,CAAC,CAAC,EAAE,QAAQG,EAAE,EAAEA,EAAEpB,EAAE,OAAO,EAAEoB,EAAE,CAAC,IAAI,EAAEA,IAAI,EAAE,EAAE3B,EAAE2B,EAAE,GAAGU,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE9B,EAAEoB,GAAGH,CAAC,EAAEC,EAAEE,GAAGg6B,EAAEU,GAAG18B,EAAE0C,EAAE,CAAC,EAAE,KAAK,YAAY,CAAC,CAAC,OAAOZ,CAAC,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEpB,EAAE,OAAOoB,IAAID,EAAEC,GAAGA,EAAE,KAAK,UAAUD,EAAED,CAAC,CAAC,CAAC,EAAM,GAAG,KAAK,CAAC,YAAYlB,EAAEZ,EAAE,EAAEK,EAAE,GAAG,CAAC,KAAK,QAAQO,EAAE,KAAK,aAAaZ,EAAE,KAAK,aAAa,EAAEY,GAAG,MAAMA,EAAE,QAAQiB,GAAG,CAAC,GAAG,IAAIA,EAAE,MAAM,MAAM,IAAI,MAAM,mCAAmC,wBAAwBA,EAAE,OAAO,EAAEioE,GAAG9pE,EAAE6B,EAAE,MAAM,6BAA6B,EAAE4xB,GAAG5xB,CAAC,CAAC,CAAC,EAAE,KAAK,SAAS8gC,GAAG,CAAC,EAAE,KAAK,eAAetiC,EAAEozB,GAAG,KAAK,QAAQ,CAAC,CAAC,IAAI,IAAI,CAAC,OAAO,KAAK,SAAS,EAAE,CAAC,MAAM,CAAC,OAAO,IAAI,GAAG,CAAC,GAAG,KAAK,OAAO,EAAE,KAAK,aAAa,KAAK,YAAY,CAAC,CAAC,cAAc7yB,EAAE,CAAC,KAAK,QAAQ,QAAQZ,GAAG,EAAEY,GAAG,MAAM,CAACA,EAAE,IAAIZ,EAAE,EAAE,IAAIA,EAAE,QAAQ,CAAC,CAAC,EAAE,KAAK,QAAQ,OAAO,EAAE,KAAK,SAAS,QAAQ,CAAC,CAAC,MAAM,CAAC,OAAO,KAAK,QAAQ,MAAM,CAAC,MAAMY,EAAEZ,EAAE,EAAE,GAAG,CAAC,GAAGA,IAAI,KAAK,aAAa,MAAM,IAAI,MAAM,mCAAmCA,wBAAwB,KAAK,cAAc,EAAE,GAAG,IAAI,IAAI,KAAK,QAAQ,SAAS,EAAE,MAAM,IAAI,MAAM,kCAAkC,kCAAkC,KAAK,QAAQ,kBAAkB,EAAE8pE,GAAGlpE,EAAE,KAAK,aAAa,6BAA6B,EAAE,IAAIP,EAAE2pE,GAAG,KAAK,aAAa,KAAK,QAAQppE,CAAC,EAAE,OAAO2yB,EAAE,IAAI,CAAC,IAAI1xB,EAAE,KAAK,QAAQ,IAAIC,GAAGk6B,EAAEl6B,EAAEzB,CAAC,CAAC,EAAE,OAAOqvC,GAAG7tC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,QAAQjB,EAAEZ,EAAE,CAAC,GAAGA,IAAI,KAAK,aAAa,MAAM,IAAI,MAAM,mCAAmCA,wBAAwB,KAAK,cAAc,EAAE,GAAG,KAAK,KAAK,IAAI,EAAE,MAAM,IAAI,MAAM,mCAAmC,EAAE,IAAI,EAAEgqE,GAAG,KAAK,aAAa,KAAK,QAAQppE,CAAC,EAAEP,EAAE,KAAK,QAAQ,IAAI,EAAE,OAAOA,EAAE,KAAK,GAAGypE,GAAGzpE,EAAE,MAAMO,EAAE,6BAA6B,EAAEo7B,EAAE37B,EAAE,CAAC,CAAC,CAAC,SAASO,EAAE,CAAC,GAAGA,EAAE,QAAQ,KAAK,aAAa,MAAM,IAAI,MAAM,mCAAmCA,EAAE,4BAA4B,KAAK,cAAc,EAAE,GAAGkpE,GAAGlpE,EAAE,MAAM,KAAK,aAAa,6BAA6B,EAAE,KAAK,iBAAiB,KAAK,KAAK,EAAE,MAAM,IAAI,MAAM,0CAA0C,EAAE6yB,GAAG7yB,CAAC,EAAE,KAAK,QAAQ,KAAKA,CAAC,CAAC,CAAC,OAAOA,EAAE,CAAC,GAAGA,EAAE,EAAE,MAAM,IAAI,MAAM,0DAA0DA,GAAG,EAAE,GAAG,KAAK,iBAAiB,IAAIA,EAAE,KAAK,eAAe,MAAM,IAAI,MAAM,+BAA+BA,8BAA8B,KAAK,iBAAiB,EAAE,IAAIZ,EAAE,IAAI,GAAG,CAAC,EAAE,KAAK,aAAa,KAAK,aAAa,KAAK,cAAc,EAAEA,EAAE,QAAQ,OAAOY,EAAE,QAAQ,EAAE,EAAE,EAAE,KAAK,IAAI,KAAK,QAAQ,OAAOA,CAAC,EAAE,EAAE,EAAEZ,EAAE,QAAQ,GAAG,KAAK,QAAQ,GAAG,OAAOA,CAAC,CAAC,QAAQY,EAAEZ,EAAE,EAAE,CAAC,GAAG,IAAI,KAAK,aAAa,MAAM,IAAI,MAAM,mCAAmC,wBAAwB,KAAK,cAAc,EAAE,GAAGY,EAAE,GAAGA,EAAE,KAAK,QAAQ,OAAO,MAAM,IAAI,MAAM,4BAA4BA,oBAAoB,KAAK,QAAQ,kBAAkB,EAAE,GAAG,KAAK,QAAQA,IAAI,KAAK,MAAM,IAAI,MAAM,oBAAoBA,YAAY,EAAEkpE,GAAG,KAAK,QAAQlpE,GAAG,MAAMZ,EAAE,6BAA6B,EAAE,IAAIK,EAAE2pE,GAAG,KAAK,aAAa,KAAK,QAAQhqE,CAAC,EAAE,OAAOg8B,EAAE,KAAK,QAAQp7B,GAAGP,CAAC,CAAC,CAAC,QAAQO,EAAEZ,EAAE,CAAC,GAAGA,EAAE,QAAQ,KAAK,aAAa,MAAM,IAAI,MAAM,mCAAmCA,EAAE,4BAA4B,KAAK,cAAc,EAAE,GAAGY,EAAE,GAAG,KAAK,iBAAiB,IAAIA,GAAG,KAAK,eAAe,MAAM,IAAI,MAAM,yBAAyBA,wBAAwB,KAAK,0BAA0B,EAAEkpE,GAAG,KAAK,aAAa9pE,EAAE,MAAM,6BAA6B,EAAEyzB,GAAGzzB,CAAC,EAAE,KAAK,QAAQY,IAAI,OAAO,KAAK,QAAQA,GAAG,KAAK,IAAI,KAAK,QAAQA,GAAGZ,CAAC,CAAC,OAAOY,EAAEZ,EAAE,EAAE,CAAC,GAAGA,IAAI,KAAK,aAAa,MAAM,IAAI,MAAM,mCAAmCA,wBAAwB,KAAK,cAAc,EAAE8pE,GAAG,KAAK,aAAa,EAAE,6BAA6B,EAAElpE,EAAEA,EAAE,MAAM,EAAE,KAAK,KAAK,CAAC,EAAE,IAAIP,EAAE2pE,GAAG,KAAK,aAAa,KAAK,QAAQ,CAAC,EAAE,OAAOppE,EAAE,SAAS,EAAEyrB,GAAG,CAAC,EAAE,CAAC,CAAC,EAAE,OAAOhsB,CAAC,CAAC,EAAEkzB,EAAE,IAAI,CAAC,IAAI1xB,EAAEjB,EAAE,IAAIkB,GAAGk6B,EAAE,KAAK,QAAQl6B,GAAGzB,CAAC,CAAC,EAAE,OAAOqvC,GAAG7tC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOjB,EAAEZ,EAAE,CAAC,GAAG,CAAC,CAACY,GAAGA,IAAI,KAAK,aAAa,MAAM,IAAI,MAAM,uBAAuB,KAAK,2CAA2CA,GAAG,EAAEkpE,GAAG,KAAK,aAAa9pE,EAAE,6BAA6B,EAAE,IAAI,EAAEgqE,GAAG,KAAK,aAAa,KAAK,QAAQhqE,CAAC,EAAE,OAAO,KAAK,KAAK,IAAI,EAAEqsB,GAAG,CAAC,EAAE,CAAC,CAAC,EAAE,OAAO,CAAC,CAAC,EAAEkH,EAAE,IAAI,CAAC,IAAIlzB,EAAE,KAAK,QAAQ,IAAIwB,GAAGm6B,EAAEn6B,EAAE,CAAC,CAAC,EAAE,OAAOy6B,GAAGj8B,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAAS8pE,GAAGrqE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,MAAM,GAAGA,EAAE,MAAM,OAAO,EAAE,MAAM,IAAI,MAAM,oDAAoDA,EAAE,OAAO,EAAE,GAAGA,EAAE,QAAQE,EAAE,MAAM,IAAI,MAAM,mCAAmCF,EAAE,4BAA4BE,GAAG,EAAE,IAAIK,EAAEP,EAAE,MAAM,MAAM,CAAC,EAAEgqE,GAAGzpE,EAAE,EAAE,6BAA6B,EAAE,IAAI,EAAE0wC,GAAGjxC,CAAC,EAAE,OAAO,IAAI,GAAG,EAAE,EAAEM,CAAC,CAAC,CAAC,SAASgqE,GAAGtqE,EAAE,EAAEE,EAAEI,EAAE,CAAC,OAAO,IAAI,GAAG,CAAC,EAAEN,EAAE,EAAEM,CAAC,CAAC,CAAC,SAASiqE,GAAGvqE,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAG,EAAE,SAASN,EAAE,MAAM,GAAG,MAAM,IAAI,MAAM,sDAAsD,EAAE,cAAcA,EAAE,MAAM,IAAI,EAAE,IAAIO,EAAE,KAAK,IAAI,GAAG,CAAC,EAAE,GAAGD,GAAG,MAAMA,IAAI,IAAIC,GAAGD,EAAE,MAAM,IAAI,MAAM,mCAAmCC,UAAUD,IAAI,EAAE,IAAI,EAAE,IAAI,GAAG,CAAC,EAAEJ,EAAEF,EAAE,MAAMM,CAAC,EAAE,EAAE2wC,GAAGjxC,EAAE,CAAC,EAAE,OAAO,EAAE,QAAQ,CAACiC,EAAEC,IAAI,CAAC,EAAE,QAAQD,EAAE,EAAEC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,SAASsoE,GAAGxqE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,EAAEC,EAAE,EAAE,IAAIqC,IAAItC,GAAGsC,EAAEtC,EAAE,EAAE,GAAGA,IAAIN,EAAE,MAAM,GAAG,MAAM,IAAI,MAAM;AAAA;AAAA,UAEn6JM,6BAA6BN,EAAE,OAAO,EAAE,IAAI,EAAEA,EAAE,MAAM,MAAM,CAAC,EAAE,EAAEmqE,GAAG,EAAEjqE,CAAC,EAAE+B,EAAE3B,IAAI,EAAE,EAAEN,EAAE,KAAKM,EAAE4B,EAAEuxB,EAAE,IAAI,CAAC,IAAI7wB,EAAE,CAAC,EAAE5C,EAAEk8B,EAAEl8B,EAAE,CAAC,EAAEM,EAAE2B,CAAC,CAAC,EAAE,QAAQY,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAED,IAAI,EAAE,EAAEtC,EAAEsC,EAAE,GAAGE,EAAE,CAAC,EAAED,EAAE,CAAC,EAAEE,EAAE,CAAC,EAAE,EAAEH,GAAGZ,CAAC,EAAEW,EAAEC,GAAGq5B,EAAEU,GAAG58B,EAAE+C,EAAEC,CAAC,EAAE,CAAC,CAAC,CAAC,OAAOhD,EAAE,QAAQ,EAAE4C,CAAC,CAAC,EAAET,EAAE,IAAI,GAAG,CAAC,EAAEjC,EAAEF,EAAE,MAAM,EAAE,MAAM,EAAE,QAAQ4C,EAAE,EAAEA,EAAEV,EAAE,OAAOU,IAAIT,EAAE,QAAQS,EAAEV,EAAEU,EAAE,EAAE,OAAOT,CAAC,CAAC,IAAIsoE,GAAG,MAAMzqE,EAAE,EAAEE,IAAI,CAAC,OAAOF,EAAE,GAAG,CAAC,IAAI,KAAK,IAAI,cAAc,CAAC,IAAIM,EAAEwlE,EAAE,aAAa9lE,EAAE,EAAEE,CAAC,EAAEK,EAAEulE,EAAE,aAAa9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,OAAO,MAAM,EAAE,KAAK,GAAG,GAAGA,EAAE,YAAYI,GAAG,qBAAqB,EAAEJ,EAAE,eAAeA,EAAE,aAAa,EAAEA,EAAE,YAAYK,GAAG,qBAAqB,EAAEL,EAAE,eAAeA,EAAE,aAAa,CAAC,CAAC,IAAI,QAAQ,IAAI,iBAAiB,CAAC,IAAII,EAAEwlE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAEK,EAAEulE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,EAAE,MAAMA,EAAE,YAAYK,GAAG,qBAAqB,EAAEL,EAAE,eAAeA,EAAE,aAAa,EAAE+B,EAAE,EAAE,IAAIW,GAAGA,EAAE,EAAE,EAAEV,EAAE,MAAM,EAAE,GAAG,KAAK,EAAE,EAAE,QAAQU,GAAG,CAAC,CAACA,EAAE,MAAMX,EAAE,QAAQW,EAAE,EAAE,IAAI,IAAIA,EAAE,QAAQ,CAAC,CAAC,EAAE,IAAIT,EAAE,EAAE,KAAKD,EAAE,IAAI,CAAC,IAAIU,EAAET,EAAEA,EAAE,MAAMjC,EAAE,YAAYI,GAAG,qBAAqB6B,EAAEjC,EAAE,eAAeA,EAAE,aAAa,EAAE,IAAI2C,EAAEV,EAAE,IAAIY,GAAGA,EAAE,EAAE,EAAEH,EAAE,QAAQG,GAAG,CAAC,CAACA,EAAE,MAAMd,EAAE,QAAQc,EAAE,EAAE,IAAI,IAAIF,EAAE,QAAQE,EAAE,EAAE,IAAI,IAAIA,EAAE,QAAQ,CAAC,CAAC,EAAE,IAAID,EAAE,MAAM5C,EAAE,YAAYK,GAAG,qBAAqB4B,EAAEjC,EAAE,eAAeA,EAAE,aAAa,EAAEgC,EAAE,MAAMY,EAAE,GAAG,KAAK,EAAEA,EAAE,QAAQC,GAAG,CAAC,CAACA,EAAE,MAAMd,EAAE,QAAQc,EAAE,EAAE,IAAI,IAAIF,EAAE,QAAQE,EAAE,EAAE,IAAI,IAAIA,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,OAAOZ,CAAC,CAAC,IAAI,WAAW,CAAC,IAAI7B,EAAEwlE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACmmE,GAAG/lE,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAIA,EAAEwlE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAEK,EAAEulE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,OAAOK,EAAE,OAAOA,EAAE8lE,GAAG9lE,CAAC,IAAI,MAAMD,EAAE,KAAK,GAAG,GAAG,CAAC,OAAOC,CAAC,EAAE,CAACA,EAAE,MAAM,CAAC,CAAC,IAAI,QAAQ,CAAC,IAAID,EAAEN,EAAE,WAAW,KAAKO,GAAGwlE,GAAGxlE,EAAE,EAAEL,CAAC,IAAI,MAAM,EAAE,GAAGI,EAAE,CAAC,IAAIC,EAAEwlE,GAAGzlE,EAAE,EAAEJ,CAAC,EAAE,MAAM,CAACmmE,GAAG9lE,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,IAAI,QAAQ,CAAC,IAAID,EAAEwlE,EAAE,YAAY9lE,EAAE,EAAEE,CAAC,EAAEK,EAAEulE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE,OAAOA,EAAE,WAAWI,CAAC,EAAE,CAAC+lE,GAAG9lE,CAAC,CAAC,CAAC,CAAC,IAAI,OAAO,CAAC,IAAID,EAAEwlE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE,OAAOA,EAAE,UAAU,EAAE,CAACmmE,GAAG/lE,CAAC,CAAC,CAAC,CAAC,IAAI,gBAAgB,CAAC,IAAIA,EAAEwlE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE,OAAOA,EAAE,cAAc,EAAE,CAACmmE,GAAG/lE,CAAC,CAAC,CAAC,CAAC,IAAI,gBAAgB,CAAC,IAAIA,EAAEwlE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAEK,EAAEulE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,cAAc9lE,EAAE,EAAEE,CAAC,EAAE+B,EAAE6jE,EAAE,iBAAiB9lE,EAAE,EAAEE,CAAC,EAAEgC,EAAE4jE,EAAE,yBAAyB9lE,EAAE,EAAEE,CAAC,EAAEiC,EAAE2jE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE0C,EAAE,IAAIwnE,GAAGjoE,EAAE5B,EAAED,EAAE,EAAE4B,EAAE,EAAED,CAAC,EAAE,OAAO/B,EAAE,eAAe0C,CAAC,EAAE,CAACA,EAAE,SAASigC,GAAG,CAAC,CAAC,CAAC,CAAC,IAAI,qBAAqB,CAAC,IAAIviC,EAAEwlE,EAAE,gBAAgB9lE,EAAE,EAAEE,CAAC,EAAEK,EAAEulE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE,EAAEA,EAAE,eAAeI,EAAE,EAAE,EAAE,OAAO,EAAE,MAAMC,EAAE,CAAC,EAAE,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI,oBAAoB,CAAC,IAAID,EAAEwlE,EAAE,gBAAgB9lE,EAAE,EAAEE,CAAC,EAAEK,EAAEulE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACA,EAAE,eAAeI,EAAE,EAAE,EAAE,KAAKC,CAAC,CAAC,CAAC,CAAC,IAAI,sBAAsB,CAAC,IAAID,EAAEwlE,EAAE,gBAAgB9lE,EAAE,EAAEE,CAAC,EAAEK,EAAEulE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACA,EAAE,eAAeI,EAAE,EAAE,EAAE,OAAOC,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,uBAAuB,CAAC,IAAID,EAAEwlE,EAAE,gBAAgB9lE,EAAE,EAAEE,CAAC,EAAEK,EAAEulE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE,EAAEA,EAAE,eAAeI,EAAE,EAAE,EAAE,OAAO,EAAE,QAAQC,EAAE,CAAC,EAAE,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI,sBAAsB,CAAC,IAAID,EAAEwlE,EAAE,gBAAgB9lE,EAAE,EAAEE,CAAC,EAAEK,EAAEL,EAAE,eAAeI,EAAE,EAAE,EAAE,EAAEwlE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACK,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,IAAI,qBAAqB,CAAC,IAAID,EAAEwlE,EAAE,gBAAgB9lE,EAAE,EAAEE,CAAC,EAAEK,EAAEulE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE,EAAEA,EAAE,eAAeI,EAAE,EAAE,EAAE,OAAO,EAAE,MAAM,EAAEC,CAAC,EAAE,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI,oBAAoB,CAAC,IAAID,EAAEwlE,EAAE,gBAAgB9lE,EAAE,EAAEE,CAAC,EAAEK,EAAEL,EAAE,eAAeI,EAAE,EAAE,EAAE,MAAM,CAACuiC,GAAGtiC,EAAE,KAAK,EAAE,OAAO,CAAC,CAAC,CAAC,IAAI,qBAAqB,CAAC,IAAID,EAAEwlE,EAAE,gBAAgB9lE,EAAE,EAAEE,CAAC,EAAEK,EAAEL,EAAE,eAAeI,EAAE,EAAE,EAAE,OAAOC,EAAE,cAAc,EAAE,CAACA,EAAE,QAAQ,CAAC,CAAC,IAAI,oBAAoB,CAAC,IAAID,EAAEwlE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAEK,EAAEulE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE,EAAEA,EAAE,cAAcI,EAAE,EAAE,EAAE,OAAO,EAAE,QAAQC,EAAE,CAAC,EAAE,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI,oBAAoB,CAAC,IAAID,EAAEwlE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAEK,EAAEulE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACA,EAAE,cAAcI,EAAE,EAAE,EAAE,QAAQC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,sBAAsB,IAAI,oBAAoB,CAAC,IAAID,EAAEwlE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAEK,EAAEulE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,cAAc9lE,EAAE,EAAEE,CAAC,EAAE+B,EAAEsoE,GAAGhqE,EAAED,EAAE,EAAE,CAAC,EAAE,OAAOJ,EAAE,cAAc+B,CAAC,EAAE,CAACA,EAAE,QAAQ,CAAC,CAAC,IAAI,oBAAoB,IAAI,kBAAkB,CAAC,IAAI3B,EAAEwlE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAEK,EAAEulE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAE,EAAEF,EAAE,KAAK,oBAAoB,EAAE,cAAc,EAAE,iBAAiB,IAAI,EAAE8lE,EAAE,EAAE9lE,EAAE,EAAEE,CAAC,EAAE+B,EAAEjC,EAAE,KAAK,oBAAoB,GAAG,EAAEkC,EAAEooE,GAAGhqE,EAAEC,EAAE,EAAE0B,CAAC,EAAE,OAAO/B,EAAE,cAAcgC,CAAC,EAAE,CAACA,EAAE,QAAQ,CAAC,CAAC,IAAI,mBAAmB,CAAC,IAAI5B,EAAEwlE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAEK,EAAEulE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACA,EAAE,cAAcI,EAAE,EAAE,EAAE,OAAOC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,kBAAkB,CAAC,IAAID,EAAEwlE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAEK,EAAEulE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,cAAc9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACA,EAAE,cAAcI,EAAE,EAAE,EAAE,MAAMC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,uBAAuB,CAAC,IAAID,EAAEwlE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAEK,EAAEulE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAE,EAAEmqE,GAAG/pE,EAAEC,EAAE,CAAC,EAAE,OAAOL,EAAE,cAAc,CAAC,EAAE,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI,mBAAmB,IAAI,qBAAqB,CAAC,IAAII,EAAEwlE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAEK,EAAEL,EAAE,cAAcI,EAAE,EAAE,EAAE,EAAEwlE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACK,EAAE,OAAO,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,qBAAqB,CAAC,IAAID,EAAEwlE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAEK,EAAEulE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE,EAAEA,EAAE,cAAcI,EAAE,EAAE,EAAE,OAAO,EAAE,SAASC,CAAC,EAAE,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI,oBAAoB,CAAC,IAAID,EAAEwlE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAEK,EAAEulE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACA,EAAE,cAAcI,EAAE,EAAE,EAAE,QAAQC,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,kBAAkB,CAAC,IAAID,EAAEwlE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAEK,EAAEulE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE,EAAEsqE,GAAGlqE,EAAE,EAAEC,CAAC,EAAE,OAAOL,EAAE,cAAc,CAAC,EAAE,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI,mBAAmB,CAAC,IAAII,EAAEwlE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAEK,EAAEL,EAAE,cAAcI,EAAE,EAAE,EAAE,MAAM,CAACuiC,GAAGtiC,EAAE,KAAK,EAAE,OAAO,CAAC,CAAC,CAAC,IAAI,mBAAmB,CAAC,IAAID,EAAEwlE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAEK,EAAEulE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE8B,EAAE9B,EAAE,cAAcI,EAAE,EAAE,EAAE,OAAOC,CAAC,EAAE,OAAOL,EAAE,cAAc8B,CAAC,EAAE,CAACA,EAAE,QAAQ,CAAC,CAAC,QAAQ,MAAM,UAAU,aAAahC,EAAE,uBAAuB,CAAC,CAAC,EAAE,SAAS0qE,GAAG1qE,EAAE,EAAEE,EAAE,CAAC,GAAG,CAACI,EAAEC,CAAC,EAAEulE,EAAE,WAAW9lE,EAAE,EAAEE,CAAC,EAAE,EAAEI,IAAI,UAAU,EAAE,CAAC,EAAE2B,EAAE1B,IAAI,QAAQ2B,EAAE5B,IAAI,iBAAiB6B,EAAE2jE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE,GAAG,EAAE,CAAC,GAAG+B,GAAGE,IAAI,EAAE,MAAM,IAAI,MAAM,uGAAuG,EAAE,GAAG,CAACF,GAAG,GAAGE,IAAI,EAAE,MAAM,IAAI,MAAM,kFAAkF,CAAC,CAAC,GAAGD,EAAE,MAAM,IAAI,MAAM,sEAAsE,EAAE,IAAIU,EAAEkjE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE2C,EAAEujE,GAAGpmE,EAAE,EAAEE,CAAC,EAAE4C,EAAEgjE,EAAE,aAAa9lE,EAAE,EAAEE,CAAC,EAAE,YAAY,EAAE6C,EAAE+iE,EAAE,YAAY9lE,EAAE,EAAEE,CAAC,EAAE,CAAC8C,EAAEkB,CAAC,EAAE4hE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,IAAIgE,EAAElB,EAAEA,EAAE,QAAQ,IAAI,EAAE8iE,EAAE,iBAAiB9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC,OAAO0C,EAAE,IAAIC,EAAE,WAAWC,EAAE,UAAUC,EAAE,QAAQC,EAAE,SAASkB,EAAE,eAAe3D,EAAE,eAAe,CAAC,CAAC,CAAC,IAAIoqE,GAAG,CAAC3qE,EAAE,EAAEE,EAAEI,EAAEupE,KAAK,CAAC,OAAO7pE,EAAE,GAAG,CAAC,IAAI,SAAS,CAAC,IAAIO,EAAEulE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,MAAM9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,aAAa9lE,EAAE,EAAEE,CAAC,EAAE,YAAY,EAAE+B,EAAE6jE,EAAE,WAAW9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,OAAOwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAEK,EAAE,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAI1B,EAAEulE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE,EAAEkmE,GAAGpmE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,aAAa9lE,EAAE,EAAEE,CAAC,EAAE,YAAY,EAAE+B,EAAE6jE,EAAE,YAAY9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,OAAOwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE,CAACK,EAAE,GAAGA,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC0B,EAAE,GAAGA,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,eAAe,CAAC,GAAG,CAAC,OAAO1B,EAAE,IAAI,EAAE,WAAW,EAAE,UAAU0B,EAAE,QAAQC,EAAE,SAASC,EAAE,eAAeS,EAAE,eAAeC,CAAC,EAAE6nE,GAAG1qE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,MAAM,OAAO,CAAC,EAAEwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE,OAAO4lE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE,QAAQ,CAACK,EAAE,GAAGA,EAAE,EAAE,EAAE,IAAI,EAAE,WAAW,EAAE,UAAU,CAAC0B,EAAE,GAAGA,EAAE,EAAE,EAAE,KAAKC,EAAE,WAAWU,EAAE,uBAAuBT,EAAE,eAAeU,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI,6BAA6B,CAAC,GAAG,CAAC,OAAOtC,EAAE,IAAI,EAAE,WAAW,EAAE,UAAU0B,EAAE,QAAQC,EAAE,SAASC,EAAE,eAAeS,EAAE,eAAeC,CAAC,EAAE6nE,GAAG1qE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,MAAM,gBAAgB,CAAC,EAAEwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE,OAAO4lE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE,QAAQ,CAACK,EAAE,GAAGA,EAAE,EAAE,EAAE,IAAI,EAAE,WAAW,EAAE,UAAU,CAAC0B,EAAE,GAAGA,EAAE,EAAE,EAAE,KAAKC,EAAE,WAAWU,EAAE,uBAAuBT,EAAE,eAAeU,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI,sBAAsB,IAAI,kBAAkB,CAAC,IAAItC,EAAEulE,EAAE,cAAc9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE,EAAEkmE,GAAGpmE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,gBAAgBwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAEK,EAAE,CAAC,EAAE,GAAG,EAAE,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,wBAAwB,IAAI,kBAAkB,CAAC,IAAIA,EAAEulE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE,EAAEkmE,GAAGpmE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,YAAY9lE,EAAE,EAAEE,CAAC,EAAE+B,EAAE6jE,EAAE,aAAa9lE,EAAE,EAAEE,CAAC,EAAE,YAAY,EAAE,MAAM,CAACI,EAAE,gBAAgBwlE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE,CAACK,EAAE,GAAGA,EAAE,EAAE,EAAE,EAAE0B,EAAE,CAAC,EAAE,GAAG,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAI1B,EAAEulE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,MAAM9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,aAAa9lE,EAAE,EAAEE,CAAC,EAAE,YAAY,EAAE+B,EAAE6jE,EAAE,YAAY9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,OAAOwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE,CAACK,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC0B,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,UAAU,CAAC,IAAI1B,EAAEulE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,MAAM9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,aAAa9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,QAAQwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE,CAAC,EAAE,GAAG,EAAE,EAAE,EAAE,CAACK,EAAE,GAAGA,EAAE,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,UAAU,CAAC,IAAIA,EAAEulE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,MAAM9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,aAAa9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,QAAQwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE,CAAC,EAAE,GAAG,EAAE,EAAE,EAAE,CAACK,EAAE,GAAGA,EAAE,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,oBAAoB,CAAC,IAAIA,EAAEulE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,MAAM9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,aAAa9lE,EAAE,EAAEE,CAAC,EAAE+B,EAAE6jE,EAAE,sBAAsB9lE,EAAE,EAAEE,CAAC,EAAE,CAAC,OAAOgC,EAAE,QAAQC,CAAC,EAAE7B,EAAE,kBAAkBwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE,CAAC,EAAE,GAAG,EAAE,EAAE,EAAE,CAACK,EAAE,GAAGA,EAAE,EAAE,EAAE,EAAE0B,CAAC,EAAE,MAAM,CAACC,EAAEC,CAAC,CAAC,CAAC,IAAI,YAAY,CAAC,IAAI5B,EAAEulE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,MAAM9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,aAAa9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,UAAUwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE,CAAC,EAAE,GAAG,EAAE,GAAG,EAAE,EAAE,EAAE,CAACK,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,YAAY,CAAC,IAAIA,EAAEulE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,MAAM9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,aAAa9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,UAAUwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE,CAAC,EAAE,GAAG,EAAE,GAAG,EAAE,EAAE,EAAE,CAACK,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,aAAa,CAAC,IAAIA,EAAEulE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,MAAM9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,YAAY9lE,EAAE,EAAEE,CAAC,EAAE+B,EAAE1B,EAAE,GAAG2B,EAAE3B,EAAE,GAAG4B,EAAE,EAAE,GAAGS,EAAE,EAAE,GAAG,MAAM,CAACtC,EAAE,WAAWwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE,CAAC+B,EAAEC,CAAC,EAAE,EAAE,CAACC,EAAES,CAAC,EAAE,MAAM,CAAC,CAAC,CAAC,QAAQ,MAAM,UAAU,aAAa5C,EAAE,uBAAuB,CAAC,CAAC,EAAM4qE,GAAG,CAAC5qE,EAAE,EAAEE,EAAEI,EAAEupE,KAAK,CAAC,OAAO7pE,EAAE,GAAG,CAAC,IAAI,OAAO,CAAC,IAAIO,EAAEulE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,KAAKC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,WAAW,CAAC,IAAIA,EAAEulE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,MAAM9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,SAASC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,cAAc,CAAC,IAAIA,EAAEulE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,aAAa9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,YAAYC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAIA,EAAEulE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE+B,EAAE6jE,EAAE,WAAW9lE,EAAE,EAAEE,CAAC,EAAEgC,EAAE4jE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,OAAOC,EAAE,EAAE,EAAE0B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,OAAO,MAAM,CAAC5B,EAAE,KAAKwlE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,WAAW,MAAM,CAACI,EAAE,SAASwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,uBAAuB,MAAM,CAACI,EAAE,qBAAqBwlE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,gBAAgB,MAAM,CAACI,EAAE,cAAcwlE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,CAAC,IAAIK,EAAEulE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,MAAMC,EAAE,EAAE,EAAEulE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI,kBAAkB,CAAC,IAAIK,EAAEulE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE+B,EAAE6jE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,gBAAgBC,EAAE,EAAE,EAAEulE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE+B,CAAC,CAAC,CAAC,CAAC,IAAI,QAAQ,MAAM,CAAC3B,EAAE,MAAMwlE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,YAAY,MAAM,CAACI,EAAE,UAAUwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAE,SAAS6qE,GAAG7qE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEwlE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAEK,EAAEulE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,gBAAgB9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAE+B,EAAE6jE,EAAE,iBAAiB9lE,EAAE,EAAEE,CAAC,EAAEgC,EAAE4jE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC,MAAMI,EAAE,OAAOC,EAAE,cAAc,EAAE,aAAa,EAAE,eAAe0B,EAAE,aAAaC,CAAC,CAAC,CAAC,IAAI4oE,GAAG,MAAM9qE,EAAE,EAAEE,EAAEI,EAAEC,EAAEspE,KAAK,CAAC,OAAO7pE,EAAE,GAAG,CAAC,IAAI,sBAAsB,CAAC,GAAG,CAAC,MAAM,EAAE,OAAO,EAAE,cAAciC,EAAE,aAAaC,EAAE,eAAeC,EAAE,aAAaS,CAAC,EAAEioE,GAAG7qE,EAAE,EAAEE,CAAC,EAAE2C,EAAE,MAAMtC,EAAE,MAAM,gCAAgC,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,CAAC,EAAE,MAAM,CAACC,EAAE,gBAAgBA,EAAE,cAAc,CAAC,CAAC,IAAI,sBAAsB,CAAC,GAAG,CAAC,MAAM,EAAE,OAAO,EAAE,cAAcZ,EAAE,aAAaC,EAAE,eAAeC,CAAC,EAAE0oE,GAAG7qE,EAAE,EAAEE,CAAC,EAAE0C,EAAEkjE,EAAE,qBAAqB9lE,EAAE,EAAEE,CAAC,EAAE2C,EAAE,MAAMtC,EAAE,MAAM,6BAA6B,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,CAAC,EAAE,MAAM,CAACC,EAAE,gBAAgBA,EAAE,YAAY,CAAC,CAAC,IAAI,sBAAsB,IAAI,sBAAsB,CAAC,GAAG,CAAC,MAAM,EAAE,OAAO,EAAE,cAAcZ,EAAE,aAAaC,EAAE,eAAeC,CAAC,EAAE0oE,GAAG7qE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC,MAAMK,EAAE,MAAM,uBAAuB,EAAE,EAAE0B,EAAEC,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,QAAQ,CAAC,IAAI,EAAE5B,EAAE,KAAKulE,EAAE,YAAY9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,EAAE,EAAE,CAAC,MAAMK,EAAE,WAAW,CAAC,CAAC,EAAE,OAAO,EAAE,QAAQ,EAAE,CAAC,CAAC,IAAI,WAAW,OAAOA,EAAE,eAAeulE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAM+qE,GAAG,CAAC/qE,EAAE,EAAEE,EAAEI,EAAEupE,KAAK,CAAC,OAAO7pE,EAAE,GAAG,CAAC,IAAI,aAAa,CAAC,IAAIO,EAAEulE,EAAE,iBAAiB9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,WAAWC,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAIA,EAAEulE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE+B,EAAE3B,EAAE,KAAKC,EAAE,EAAE,CAAC,EAAE,MAAM,CAAC0B,EAAE,OAAOA,EAAE,OAAO,CAAC,CAAC,IAAI,aAAa,CAAC,IAAI1B,EAAEulE,EAAE,iBAAiB9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,WAAWC,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAIA,EAAEulE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE,EAAEI,EAAE,OAAOC,CAAC,EAAE,MAAM,CAAC,EAAE,OAAO,EAAE,OAAO,CAAC,CAAC,IAAI,WAAW,CAAC,IAAIA,EAAEulE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,EAAEI,EAAE,OAAOC,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,OAAO,EAAE,OAAO,CAAC,CAAC,QAAQ,MAAM,UAAU,aAAaP,EAAE,uBAAuB,CAAC,CAAC,EAAMgrE,GAAG,CAAChrE,EAAE,EAAEE,EAAEI,EAAEupE,KAAK,CAAC,OAAO7pE,EAAE,GAAG,CAAC,IAAI,QAAQ,OAAO,EAAEA,EAAE,MAAM,IAAI,yBAAyB,IAAIO,EAAEulE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC6lE,GAAG/lE,EAAE,KAAK,EAAEE,CAAC,GAAGK,CAAC,EAAE,IAAI,cAAc,MAAM,CAACwlE,GAAG/lE,EAAE,KAAK,EAAEE,CAAC,CAAC,EAAE,IAAI,WAAW,IAAI,eAAe,IAAI,0BAA0B,CAAC,IAAI0C,EAAEkjE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACmmE,GAAGzjE,CAAC,CAAC,CAAC,CAAC,IAAI,YAAY,OAAOkjE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE,IAAI0C,GAAGyjE,GAAGzjE,CAAC,CAAC,EAAE,IAAI,WAAW,IAAI,EAAEkjE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACmmE,GAAG,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAAC/lE,EAAE,SAASwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,OAAO,CAAC,EAAE,IAAI,SAAS,OAAO4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE,IAAI0C,GAAGtC,EAAE,SAASsC,EAAE,KAAK,CAAC,EAAE,IAAI,OAAO,MAAM,CAACtC,EAAE,OAAOwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE,KAAK,OAAO,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,OAAOwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE,KAAK,OAAO,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,OAAO,CAAC,CAAC,EAAE,IAAI,QAAQ,IAAI,EAAEwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE+B,EAAE6jE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAEgC,EAAE4jE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAEiC,EAAE2jE,EAAE,YAAY9lE,EAAE,EAAEE,CAAC,EAAE,QAAQ,KAAK,gGAAgG,EAAE,QAAQ,IAAIgC,CAAC,EAAE,QAAQU,EAAE,EAAEA,EAAEX,EAAE,OAAOW,IAAI,QAAQ,IAAI,MAAM,UAAU,MAAM,KAAKX,EAAEW,GAAG,SAAS,CAAC,EAAE,MAAM,EAAET,CAAC,CAAC,EAAE,MAAM,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAanC,EAAE,uBAAuB,CAAC,CAAC,EAAMirE,GAAG,KAAK,CAAC,YAAYnqE,EAAEZ,EAAE,CAAC,KAAK,SAASY,EAAE,KAAK,WAAWZ,EAAE,KAAK,OAAO2iC,GAAG,CAAC,EAAE,KAAK,UAAU,IAAI,IAAIlP,GAAG,KAAK,MAAM,CAAC,CAAC,IAAI,IAAI,CAAC,OAAO,KAAK,OAAO,EAAE,CAAC,eAAe,CAAC,KAAK,UAAU,QAAQ7yB,GAAGA,EAAE,QAAQ,CAAC,EAAE,KAAK,UAAU,MAAM,EAAE,KAAK,OAAO,QAAQ,CAAC,CAAC,MAAM,CAAC,OAAO,KAAK,UAAU,IAAI,CAAC,YAAY,CAAC,OAAO+hC,GAAG,KAAK,KAAK,EAAE,OAAO,CAAC,CAAC,MAAM,OAAO/hC,EAAEZ,EAAE,CAAC,KAAK,uBAAuBY,EAAEZ,CAAC,EAAE,IAAI,EAAE,MAAMY,EAAE,KAAK,EAAE,OAAO,KAAK,UAAU,QAAQP,GAAGA,EAAE,QAAQ,CAAC,EAAE,KAAK,UAAU,MAAM,EAAEkzB,EAAE,IAAI,CAAC,IAAIlzB,EAAE0wC,GAAG/wC,CAAC,EAAE6B,EAAE,EAAE,OAAOC,EAAEzB,EAAE,OAAOumB,EAAE,OAAO/kB,IAAIC,EAAE,IAAI,kDAAkDD,8BAA8BC,aAAa,EAAE,QAAQC,EAAE,EAAEA,EAAEF,EAAEE,IAAI,CAAC,IAAIC,EAAE,EAAED,GAAG,EAAE1B,EAAE0B,GAAG0xB,GAAG,CAAC,EAAE,KAAK,UAAU,IAAIzxB,EAAE,CAAC,CAAC,CAAC,OAAO,KAAK,MAAM,CAAC,CAAC,CAAC,MAAM,KAAKpB,EAAEZ,EAAE,CAAC,KAAK,uBAAuBY,EAAEZ,CAAC,EAAE,IAAI,EAAE,MAAMY,EAAE,KAAK,EAAE,OAAO2yB,EAAE,IAAI,CAAC,IAAIlzB,EAAE,CAAC,EAAE,QAAQwB,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,CAAC,IAAIC,EAAE,EAAED,GAAGE,EAAE,KAAK,gBAAgBD,EAAE9B,CAAC,EAAEK,EAAE,KAAK0B,CAAC,CAAC,CAAC,OAAO2tC,GAAGrvC,CAAC,CAAC,CAAC,CAAC,CAAC,gBAAgBO,EAAEZ,EAAE,CAAC,IAAI,EAAE,KAAK,UAAU,IAAIY,CAAC,EAAE,OAAO,GAAG,KAAK,EAAEZ,CAAC,CAAC,uBAAuBY,EAAEZ,EAAE,CAAC,GAAGY,EAAE,QAAQ,KAAK,SAAS,MAAM,IAAI,MAAM,oBAAoB,KAAK,qBAAqBA,EAAE,OAAO,EAAE,GAAGZ,EAAE,QAAQ,KAAK,WAAW,MAAM,IAAI,MAAM,sBAAsB,KAAK,uBAAuBA,EAAE,OAAO,CAAC,CAAC,EAAMgrE,GAAG,MAAMlrE,EAAE,EAAEE,EAAEI,IAAI,CAAC,OAAON,EAAE,GAAG,CAAC,IAAI,YAAY,IAAI,cAAc,CAAC,IAAIO,EAAED,EAAE,yBAAyBN,EAAE,IAAI,EAAE,GAAGO,GAAG,KAAK,MAAM,CAACA,CAAC,EAAE,CAAC,IAAI,EAAEulE,EAAE,WAAW9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,aAAa9lE,EAAE,EAAEE,CAAC,EAAE+B,EAAE,IAAIgpE,GAAG,EAAE,CAAC,EAAE,OAAO3qE,EAAE,aAAaN,EAAE,KAAKiC,CAAC,EAAE,CAACA,EAAE,MAAM,CAAC,CAAC,CAAC,IAAI,oBAAoB,IAAI,sBAAsB,CAAC,IAAI1B,EAAEulE,EAAE,cAAc9lE,EAAE,EAAEE,EAAEI,CAAC,EAAE,EAAEwlE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC,MAAMI,EAAE,iBAAiBC,EAAE,EAAE,EAAE,OAAO,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,kBAAkB,IAAI,oBAAoB,CAAC,IAAIA,EAAEulE,EAAE,cAAc9lE,EAAE,EAAEE,EAAEI,CAAC,EAAE,EAAEwlE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC,MAAMI,EAAE,iBAAiBC,EAAE,EAAE,EAAE,KAAK,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,kBAAkB,IAAI,oBAAoB,CAAC,IAAIA,EAAEulE,EAAE,cAAc9lE,EAAE,EAAEE,EAAEI,CAAC,EAAE,MAAM,CAACA,EAAE,iBAAiBC,EAAE,EAAE,EAAE,WAAW,CAAC,CAAC,CAAC,QAAQ,MAAM,UAAU,aAAaP,EAAE,uBAAuB,CAAC,CAAC,EAAMmrE,GAAG,CAACnrE,EAAE,EAAEE,EAAEI,EAAEupE,KAAK,CAAC,OAAO7pE,EAAE,GAAG,CAAC,IAAI,iBAAiB,CAAC,IAAIO,EAAEulE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAE+B,EAAE6jE,EAAE,mBAAmB9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,MAAM,eAAeC,EAAE,CAAC,EAAE,GAAG,EAAE,EAAE,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,IAAI,wBAAwB,CAAC,IAAI1B,EAAEulE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAE+B,EAAE6jE,EAAE,mBAAmB9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,MAAM,sBAAsBC,EAAE,CAAC,EAAE,GAAG,EAAE,EAAE,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,IAAI,gBAAgB,CAAC,IAAI1B,EAAEulE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE+B,EAAE6jE,EAAE,WAAW9lE,EAAE,EAAEE,CAAC,EAAEgC,EAAE4jE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAEiC,EAAE2jE,EAAE,qBAAqB9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,MAAM,cAAcC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,6BAA6B,CAAC,IAAI5B,EAAEulE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,aAAa9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,cAAc9lE,EAAE,EAAEE,CAAC,EAAE+B,EAAE6jE,EAAE,YAAY9lE,EAAE,EAAEE,CAAC,EAAEgC,EAAE4jE,EAAE,gBAAgB9lE,EAAE,EAAEE,CAAC,EAAEiC,EAAE2jE,EAAE,WAAW9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,MAAM,UAAUC,EAAE,EAAE2B,EAAE,YAAY,EAAEC,EAAE,YAAY,EAAEF,EAAE,CAAC,CAAC,CAAC,CAAC,QAAQ,MAAM,UAAU,aAAajC,EAAE,uBAAuB,CAAC,CAAC,EAAMorE,GAAG,CAACprE,EAAE,EAAEE,EAAEI,EAAEupE,KAAK,CAAC,OAAO7pE,EAAE,GAAG,CAAC,IAAI,QAAQ,MAAM,CAACM,EAAE,MAAMwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,WAAW,MAAM,CAACI,EAAE,SAASwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,UAAU,MAAM,CAACI,EAAE,QAAQwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,eAAe,MAAM,CAACI,EAAE,aAAawlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAKwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,YAAY,MAAM,CAACI,EAAE,UAAUwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,aAAa,MAAM,CAACI,EAAE,WAAWwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,aAAa,MAAM,CAACI,EAAE,WAAWwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,YAAY,MAAM,CAACI,EAAE,UAAUwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,SAAS,IAAI,WAAW,MAAM,CAACI,EAAE,MAAMwlE,EAAE,YAAY9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAMqrE,GAAG,CAACrrE,EAAE,EAAEE,EAAEI,EAAEupE,KAAK,CAAC,OAAO7pE,EAAE,GAAG,CAAC,IAAI,cAAc,IAAI,gBAAgB,IAAI,SAAS,MAAM,CAACM,EAAE,OAAOwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,aAAa9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,aAAa9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,SAAS,MAAM,CAACI,EAAE,OAAOwlE,EAAE,WAAW9lE,EAAE,EAAEE,CAAC,EAAE,GAAG4lE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,YAAY,MAAM,CAACI,EAAE,UAAUwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,eAAe,GAAG,CAACK,EAAE,CAAC,EAAEulE,EAAE,WAAW9lE,EAAE,EAAEE,CAAC,EAAE,EAAEK,IAAI,UAAU0B,EAAE,IAAI,QAAQC,EAAE4jE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAEiC,EAAE2jE,EAAE,iBAAiB9lE,EAAE,EAAEE,CAAC,EAAE,GAAG,EAAE,CAAC,GAAG+B,GAAGC,IAAI,EAAE,MAAM,IAAI,MAAM,oFAAoF,EAAE,GAAG,CAACD,GAAGC,IAAI,EAAE,MAAM,IAAI,MAAM,+DAA+D,CAAC,CAAC,GAAG,CAACU,EAAEC,CAAC,EAAEijE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,MAAM,OAAO,CAAC,EAAEwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE,WAAW4lE,EAAE,aAAa9lE,EAAE,EAAEE,CAAC,EAAE,WAAW4lE,EAAE,aAAa9lE,EAAE,EAAEE,CAAC,EAAE,KAAK0C,EAAE,WAAW,EAAE,uBAAuBC,EAAE,eAAeV,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAanC,EAAE,uBAAuB,CAAC,CAAC,EAAMsrE,GAAG,CAACtrE,EAAE,EAAEE,EAAEI,EAAEupE,KAAK,CAAC,OAAO7pE,EAAE,GAAG,CAAC,IAAI,gBAAgB,MAAM,CAACM,EAAE,cAAcwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,WAAW9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,iBAAiB,IAAI,mBAAmB,MAAM,CAACI,EAAE,UAAUwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,WAAW9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,mBAAmB,MAAM,CAACI,EAAE,UAAUwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,WAAW9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACI,EAAE,2BAA2BwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,UAAU,MAAM,CAACI,EAAE,QAAQwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,aAAa,MAAM,CAACI,EAAE,WAAWwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,gBAAgB,MAAM,CAACI,EAAE,cAAcwlE,EAAE,gBAAgB9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,cAAc9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAMurE,GAAG,CAACvrE,EAAE,EAAEE,EAAEI,EAAEupE,KAAK,CAAC,OAAO7pE,EAAE,GAAG,CAAC,IAAI,MAAM,CAAC,IAAIiC,EAAE6jE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAEgC,EAAE4jE,EAAE,WAAW9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,IAAIwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE+B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,OAAO,CAAC,IAAID,EAAE6jE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAEgC,EAAE4jE,EAAE,WAAW9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,KAAKwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE+B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,MAAM,CAAC,IAAID,EAAE6jE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAEgC,EAAE4jE,EAAE,WAAW9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,IAAIwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE+B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,MAAM,CAAC,IAAID,EAAE6jE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAEgC,EAAE4jE,EAAE,WAAW9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,IAAIwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE+B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,MAAM,CAAC,IAAID,EAAE6jE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAEgC,EAAE4jE,EAAE,WAAW9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,IAAIwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE+B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,MAAM,CAAC,IAAID,EAAE6jE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAEgC,EAAE4jE,EAAE,WAAW9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,IAAIwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE+B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAID,EAAE6jE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,OAAOwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE+B,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAIA,EAAE6jE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,OAAOwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE+B,CAAC,CAAC,CAAC,CAAC,IAAI,OAAO,CAAC,IAAIA,EAAE6jE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAEgC,EAAE4jE,EAAE,WAAW9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,KAAKwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE+B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,UAAU,CAAC,IAAID,EAAE6jE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAEgC,EAAE4jE,EAAE,YAAY9lE,EAAE,EAAEE,CAAC,EAAEiC,EAAE2jE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,QAAQwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE+B,EAAEC,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAIF,EAAE6jE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAEgC,EAAE4jE,EAAE,YAAY9lE,EAAE,EAAEE,CAAC,EAAEiC,EAAE2jE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,OAAOwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE+B,EAAEC,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,WAAW,IAAI5B,EAAEulE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,SAASC,EAAE,EAAE,CAAC,CAAC,EAAE,IAAI,gBAAgB,CAAC,IAAI0B,EAAE6jE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAEgC,EAAE4jE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAEiC,EAAE2jE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE0C,EAAEkjE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,cAAc2B,EAAEC,EAAEC,EAAES,CAAC,CAAC,CAAC,CAAC,QAAQ,MAAM,UAAU,aAAa5C,EAAE,uBAAuB,CAAC,CAAC,EAAMwrE,GAAG,CAACxrE,EAAE,EAAEE,EAAEI,EAAEupE,KAAK,CAAC,OAAO7pE,EAAE,GAAG,CAAC,IAAI,WAAW,IAAI,SAAS,CAAC,IAAIO,EAAEulE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE,OAAO,EAAE,EAAE,MAAM,EAAEK,CAAC,EAAE,CAACD,EAAE,OAAO,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAIC,EAAEulE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,OAAOC,EAAED,EAAE,KAAK,EAAE,OAAO,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,WAAW,CAAC,IAAIC,EAAEulE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,YAAY9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE+B,EAAE6jE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,OAAO,EAAEA,EAAE,KAAK2B,EAAE,OAAO,EAAE1B,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,UAAU,CAAC,IAAIA,EAAEulE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQ+B,EAAE,EAAEA,EAAE1B,EAAE,OAAO0B,IAAI1B,EAAE0B,IAAI,EAAE,KAAKA,CAAC,EAAE,IAAI,EAAE6jE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,QAAQ,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,YAAY,CAAC,IAAIC,EAAEulE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,QAAQ,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,QAAQ,CAAC,IAAIA,EAAEulE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,MAAMwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAEK,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,eAAe,CAAC,IAAIA,EAAEulE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,MAAM9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE+B,EAAE6jE,EAAE,YAAY9lE,EAAE,EAAEE,CAAC,EAAEgC,EAAE4jE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAEiC,EAAE2jE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAE0C,EAAEkjE,EAAE,cAAc9lE,EAAE,EAAEE,CAAC,EAAE2C,EAAEijE,EAAE,iBAAiB9lE,EAAE,EAAEE,CAAC,EAAE4C,EAAEgjE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,aAAawC,EAAEvC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,OAAO,OAAO4wB,EAAE,IAAI,CAAC,IAAIlzB,EAAEulE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE,EAAE,EAAE,GAAG,MAAM+B,EAAE3B,EAAE,QAAQ,EAAE,EAAE,EAAE,MAAM4B,EAAE,EAAE,IAAIC,GAAG,CAAC,IAAIS,EAAEkkB,EAAE,YAAY3kB,EAAE,MAAM,CAAC,EAAE,GAAG,CAACS,GAAG,CAACkkB,EAAE,YAAYxmB,EAAE,QAAQ6B,CAAC,EAAE,MAAMF,CAAC,EAAE,MAAM,IAAI,MAAM,wCAAwC,EAAE,OAAOW,EAAET,EAAE7B,EAAE,QAAQ6B,EAAE,CAAC,CAAC,CAAC,EAAE,MAAM,CAAC7B,EAAE,MAAM4B,EAAE3B,CAAC,CAAC,CAAC,CAAC,EAAE,IAAI,SAAS,CAAC,IAAIA,EAAEulE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE,OAAOI,EAAE,QAAQ,EAAEC,CAAC,CAAC,CAAC,IAAI,OAAO,CAAC,IAAIA,EAAEulE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,KAAKwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAEK,CAAC,CAAC,CAAC,CAAC,IAAI,QAAQ,IAAI,SAAS,CAAC,IAAIA,EAAEulE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,kBAAkB9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE,OAAOI,EAAE,MAAM,EAAE,EAAEC,CAAC,CAAC,CAAC,IAAI,YAAY,CAAC,IAAIA,EAAEulE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,UAAUC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,WAAW,CAAC,IAAIA,EAAEulE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,SAASC,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,gBAAgB,CAAC,IAAIA,EAAEulE,EAAE,gBAAgB9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,cAAc9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAE+B,EAAE6jE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,cAAcC,EAAE,EAAE,EAAE,EAAE,QAAQ0B,EAAE,MAAMA,EAAE3B,EAAE,KAAK2B,EAAE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,QAAQ,MAAM,UAAU,aAAajC,EAAE,uBAAuB,CAAC,CAAC,EAAMyrE,GAAG,CAACzrE,EAAE,EAAEE,EAAEI,EAAEupE,KAAK,CAAC,OAAO7pE,EAAE,GAAG,CAAC,IAAI,sBAAsB,CAAC,GAAG,CAAC,cAAcO,EAAE,aAAa,EAAE,kBAAkB,EAAE,gBAAgB0B,CAAC,EAAE3B,EAAE,OAAO,oBAAoBwlE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,SAAS9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,aAAa9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,CAAC,EAAE,MAAM,CAACK,EAAE,EAAE,EAAE0B,CAAC,CAAC,CAAC,IAAI,gBAAgB,CAAC,GAAG,CAAC,cAAc1B,EAAE,YAAY,CAAC,EAAED,EAAE,OAAO,cAAcwlE,EAAE,eAAe9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,aAAa9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,WAAW9lE,EAAE,EAAEE,CAAC,CAAC,EAAE,MAAM,CAACK,EAAE,CAAC,CAAC,CAAC,IAAI,oBAAoB,MAAM,CAACD,EAAE,OAAO,kBAAkBwlE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,aAAa9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,mBAAmB,MAAM,CAACI,EAAE,OAAO,iBAAiBwlE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,aAAa9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAM0rE,GAAG,CAAC1rE,EAAE,EAAEE,EAAEI,EAAEupE,KAAK,CAAC,OAAO7pE,EAAE,GAAG,CAAC,IAAI,MAAM,MAAM,CAACM,EAAE,IAAIwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAKwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACI,EAAE,KAAKwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACI,EAAE,MAAMwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAM2rE,GAAG,CAAC3rE,EAAE,EAAEE,EAAEI,EAAEupE,KAAK,CAAC,OAAO7pE,EAAE,GAAG,CAAC,IAAI,eAAe,CAAC,GAAG,CAAC,OAAOO,EAAE,aAAa,CAAC,EAAED,EAAE,OAAO,aAAawlE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,aAAa9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,YAAY9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,cAAc9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,WAAW9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,WAAW9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,yBAAyB9lE,EAAE,EAAEE,CAAC,CAAC,EAAE,MAAM,CAACK,EAAE,CAAC,CAAC,CAAC,IAAI,cAAc,CAAC,GAAG,CAAC,QAAQA,EAAE,OAAO,EAAE,MAAM,CAAC,EAAED,EAAE,OAAO,YAAYwlE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,YAAY9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,YAAY9lE,EAAE,EAAEE,CAAC,CAAC,EAAE,MAAM,CAACK,EAAE,EAAE,CAAC,CAAC,CAAC,IAAI,yBAAyB,MAAM,CAACD,EAAE,OAAO,uBAAuBwlE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,aAAa9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAM4rE,GAAG,CAAC5rE,EAAE,EAAEE,EAAEI,EAAEupE,KAAK,CAAC,OAAO7pE,EAAE,GAAG,CAAC,IAAI,OAAO,MAAM,CAACM,EAAE,KAAKwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,aAAa,CAAC,IAAIK,EAAEulE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,WAAWwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAEK,CAAC,CAAC,CAAC,CAAC,IAAI,UAAU,CAAC,IAAIA,EAAEulE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,QAAQwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAEK,CAAC,CAAC,CAAC,CAAC,IAAI,UAAU,MAAM,CAACD,EAAE,QAAQwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,YAAY,MAAM,CAACI,EAAE,UAAUwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,OAAO9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,IAAI,MAAM,MAAM,CAACI,EAAE,IAAIwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,UAAU9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,gBAAgB9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,iBAAiB,CAAC,IAAIK,EAAEulE,EAAE,aAAa9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,WAAW9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,eAAewlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAEK,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,iBAAiB,CAAC,IAAIA,EAAEulE,EAAE,aAAa9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACI,EAAE,eAAewlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAEK,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,eAAe,CAAC,IAAIA,EAAEulE,EAAE,YAAY9lE,EAAE,EAAEE,CAAC,EAAE,EAAE4lE,EAAE,aAAa9lE,EAAE,EAAEE,CAAC,EAAE,YAAY,EAAE,MAAM,CAACI,EAAE,aAAawlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAEK,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,cAAc,MAAM,CAACD,EAAE,YAAYwlE,EAAE,IAAI9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,QAAQ9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,gBAAgB,MAAM,CAACI,EAAE,cAAcwlE,EAAE,KAAK9lE,EAAE,EAAEE,CAAC,EAAE4lE,EAAE,KAAK9lE,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAE,SAAS6rE,GAAG7rE,EAAE,EAAEE,EAAEI,EAAEC,EAAEkzB,EAAE,CAAC,IAAI,GAAG,CAAC,EAAExxB,EAAEC,IAAI,CAAC,OAAO,EAAE,SAAS,CAAC,IAAI,aAAa,OAAO3B,EAAE,IAAIupE,GAAG,EAAE7nE,EAAEC,CAAC,CAAC,EAAE,IAAI,aAAa,OAAO3B,EAAE,IAAIwpE,GAAG,EAAE9nE,EAAEC,CAAC,CAAC,EAAE,IAAI,UAAU,OAAOuoE,GAAG,EAAExoE,EAAEC,CAAC,EAAE,IAAI,cAAc,OAAO3B,EAAE,IAAIoqE,GAAG,EAAE1oE,EAAEC,CAAC,CAAC,EAAE,IAAI,WAAW,OAAO3B,EAAE,IAAIqqE,GAAG,EAAE3oE,EAAEC,CAAC,CAAC,EAAE,IAAI,UAAU,OAAO4oE,GAAG,EAAE7oE,EAAEC,CAAC,EAAE,IAAI,aAAa,OAAO3B,EAAE,IAAIwqE,GAAG,EAAE9oE,EAAEC,CAAC,CAAC,EAAE,IAAI,QAAQ,OAAO3B,EAAE,IAAI4qE,GAAG,EAAElpE,EAAEC,CAAC,CAAC,EAAE,IAAI,QAAQ,OAAO3B,EAAE,IAAIyqE,GAAG,EAAE/oE,EAAEC,CAAC,CAAC,EAAE,IAAI,UAAU,OAAO3B,EAAE,IAAI6qE,GAAG,EAAEnpE,EAAEC,CAAC,CAAC,EAAE,IAAI,WAAW,OAAO3B,EAAE,IAAI8qE,GAAG,EAAEppE,EAAEC,CAAC,CAAC,EAAE,IAAI,gBAAgB,OAAO3B,EAAE,IAAI+qE,GAAG,EAAErpE,EAAEC,CAAC,CAAC,EAAE,IAAI,YAAY,OAAO3B,EAAE,IAAIgrE,GAAG,EAAEtpE,EAAEC,CAAC,CAAC,EAAE,IAAI,aAAa,OAAO3B,EAAE,IAAIirE,GAAG,EAAEvpE,EAAEC,CAAC,CAAC,EAAE,IAAI,SAAS,OAAO3B,EAAE,IAAIkrE,GAAG,EAAExpE,EAAEC,CAAC,CAAC,EAAE,IAAI,WAAW,OAAO3B,EAAE,IAAImrE,GAAG,EAAEzpE,EAAEC,CAAC,CAAC,EAAE,IAAI,SAAS,OAAO3B,EAAE,IAAIorE,GAAG,EAAE1pE,EAAEC,CAAC,CAAC,EAAE,IAAI,iBAAiB,OAAO3B,EAAE,IAAIqrE,GAAG,EAAE3pE,EAAEC,CAAC,CAAC,EAAE,IAAI,aAAa,OAAOgpE,GAAG,EAAEjpE,EAAEC,EAAE5B,CAAC,EAAE,IAAI,SAAS,IAAI6B,EAAEyjE,GAAG,EAAE,EAAE,EAAE,GAAGzjE,GAAGA,EAAE,eAAe,OAAOA,EAAE,eAAe,IAAIynE,GAAG,EAAE3nE,EAAEC,CAAC,CAAC,EAAE,MAAM,UAAU,aAAa,EAAE,uBAAuB,EAAE,QAAQ,MAAM,UAAU,eAAe,EAAE,uIAAuI,CAAC,CAAC,GAAGlC,EAAE,EAAEE,CAAC,EAAE,OAAO4mB,EAAE,UAAU,CAAC,EAAE,EAAE,KAAK,GAAG,CAAC,EAAE,OAAO,CAAC,CAAC,EAAE,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,IAAIglD,GAAG,KAAK,CAAC,YAAYhrE,EAAE,CAAC,EAAEZ,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEK,EAAE,CAAC,EAAE,CAAC,KAAK,UAAUO,EAAE,KAAK,eAAeZ,EAAE,KAAK,cAAc,EAAE,KAAK,YAAYK,EAAE,KAAK,YAAY,CAAC,GAAG,EAAE,UAAU,GAAG,YAAY,CAAC,EAAE,KAAK,SAAS,CAAC,KAAK,WAAW,EAAE,KAAK,OAAO,EAAE,KAAK,0BAA0B,CAAC,CAAC,SAASO,EAAEZ,EAAE,CAAC,MAAM,CAAC,GAAGY,EAAE,UAAUZ,EAAE,YAAY,CAAC,CAAC,CAAC,IAAI,eAAeY,EAAE,CAAC,KAAK,WAAWA,IAAI,KAAK,SAASA,EAAE,KAAK,0BAA0B,EAAE,CAAC,IAAI,gBAAgB,CAAC,OAAO,KAAK,QAAQ,CAAC,IAAI,kBAAkB,CAAC,OAAO,KAAK,mBAAmB,EAAE,CAAC,IAAI,mBAAmB,CAAC,OAAO,KAAK,kBAAkB,CAAC,2BAA2B,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQZ,EAAE,EAAEA,EAAE,KAAK,SAAS,OAAO,EAAEA,IAAI,CAAC,IAAI,EAAE,KAAK,SAAS,MAAM,EAAE,KAAK,SAAS,OAAOA,CAAC,EAAEY,EAAE,KAAK,KAAK,qBAAqB,CAAC,CAAC,CAAC,CAACA,EAAE,KAAK,EAAE,EAAE,KAAK,mBAAmBA,CAAC,CAAC,qBAAqBA,EAAE,CAAC,OAAOA,EAAEA,EAAE,IAAIZ,GAAGA,EAAE,KAAK,GAAGA,EAAE,cAAc,EAAE,GAAG,GAAGA,EAAE,aAAaA,EAAE,aAAa,EAAE,KAAK,GAAG,EAAE,EAAE,CAAC,WAAWY,EAAE,CAAC,KAAK,WAAW,KAAK,SAAS,KAAK,SAAS,KAAK,SAAS,MAAM,EAAE,KAAK,SAAS,KAAK,KAAK,SAAS,KAAK,OAAOA,CAAC,CAAC,EAAE,KAAK,mBAAmB,QAAQ,KAAK,qBAAqB,KAAK,QAAQ,CAAC,EAAE,CAAC,WAAW,CAAC,GAAG,KAAK,UAAU,KAAK,SAAS,OAAO,EAAE,KAAK,SAAS,KAAK,SAAS,MAAM,EAAE,KAAK,SAAS,OAAO,EAAE,EAAE,KAAK,kBAAkB,MAAM,MAAO,OAAM,IAAI,MAAM,yCAAyC,CAAC,CAAC,eAAe,CAAC,GAAG,KAAK,UAAU,KAAK,SAAS,OAAO,EAAE,CAAC,KAAK,SAAS,KAAK,SAAS,MAAM,EAAE,KAAK,SAAS,IAAIA,EAAE,OAAO,OAAO,CAAC,EAAE,KAAK,SAAS,KAAK,SAAS,OAAO,EAAE,EAAEA,EAAE,aAAa,EAAEA,EAAE,GAAG,KAAK,OAAO,KAAK,SAAS,OAAO,GAAG,EAAEA,CAAC,EAAE,KAAK,mBAAmB,OAAO,EAAE,EAAE,KAAK,qBAAqB,KAAK,QAAQ,CAAC,CAAC,KAAM,OAAM,IAAI,MAAM,uDAAuD,CAAC,CAAC,UAAUA,EAAE,CAAC,OAAO,KAAK,UAAUA,EAAE,CAAC,eAAeA,EAAE,CAAC,KAAK,eAAeA,EAAE,IAAIA,CAAC,CAAC,eAAeA,EAAE,CAAC,OAAO,KAAK,eAAeA,EAAE,CAAC,cAAcA,EAAE,CAAC,KAAK,cAAcA,EAAE,IAAIA,CAAC,CAAC,cAAcA,EAAE,CAAC,OAAO,KAAK,cAAcA,EAAE,CAAC,QAAQA,EAAE,CAAC,QAAQZ,KAAK,KAAK,eAAe,KAAK,eAAeA,GAAG,cAAcY,CAAC,EAAE,QAAQZ,KAAK,KAAK,cAAc,KAAK,cAAcA,GAAG,cAAcY,CAAC,CAAC,CAAC,EAAE,SAASirE,GAAG/rE,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAE,IAAI,IAAI,EAAE,CAAC,EAAE,EAAE,KAAK0B,EAAE,KAAKC,EAAE,IAAI,IAAIC,EAAE,OAAO,KAAKnC,CAAC,EAAE,IAAI8C,GAAGkjE,GAAGljE,CAAC,EAAE,EAAE,EAAEF,EAAE,CAAC,EAAEtC,GAAG,OAAOsC,EAAEtC,EAAE,IAAIwC,GAAGkjE,GAAGljE,EAAE,IAAI,EAAE,EAAE,GAAG,IAAID,EAAE,CAAC,GAAG,CAAC,EAAE,KAAKA,EAAE,OAAO,GAAG,CAAC,IAAIC,EAAED,EAAE,IAAI,EAAE,IAAImpE,GAAGlpE,CAAC,GAAGmpE,GAAGnpE,CAAC,GAAGopE,GAAGppE,CAAC,IAAI,GAAG,OAAO,EAAEA,EAAEb,EAAE,EAAE,SAAS,IAAIc,GAAGA,EAAE,IAAI,EAAE,OAAOA,GAAGxC,EAAE,IAAIwC,CAAC,CAAC,GAAGxC,EAAE,IAAIuC,EAAE,IAAI,EAAE5C,EAAE4C,EAAE,OAAO,MAAMX,EAAE,QAAQW,EAAE,IAAI,IAAI,IAAIF,EAAE,QAAQE,EAAE,IAAI,IAAI,GAAG,CAAC,GAAGA,EAAE,OAAO,SAAS,EAAE,CAAC,EAAE,KAAKA,EAAE,IAAI,EAAE,QAAQ,CAACA,EAAE,OAAO,QAAQC,GAAG,CAACb,EAAE,IAAIa,EAAE,IAAI,IAAIb,EAAE,IAAIa,EAAE,IAAI,EAAEF,EAAE,KAAKE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,OAAO/C,EAAE,QAAQ,EAAE,UAAUO,EAAE,cAAc,EAAE,YAAY,EAAE,WAAW0B,CAAC,CAAC,CAAC,SAASkqE,GAAGnsE,EAAE,EAAEE,EAAE,CAAC,GAAG,CAAC,UAAUI,EAAE,OAAOC,CAAC,EAAEL,EAAE,EAAE,CAAC,EAAE,EAAE,OAAO,KAAKK,CAAC,EAAE,IAAIqC,GAAGojE,GAAGpjE,CAAC,EAAE,EAAE,EAAE,IAAIA,GAAG5C,EAAE,MAAM4C,EAAE,EAAEX,EAAEjC,EAAE,UAAU,EAAE,QAAQ4C,GAAG,CAACtC,EAAE,IAAIsC,EAAE,IAAI,GAAG,EAAE,KAAKA,CAAC,CAAC,CAAC,EAAE5C,EAAE,QAAQ,QAAQ4C,GAAG,CAACtC,EAAE,IAAIsC,EAAE,IAAI,GAAG,EAAE,KAAKA,CAAC,CAAC,CAAC,EAAEX,GAAG,MAAMA,EAAE,QAAQW,GAAG,CAACtC,EAAE,IAAIsC,EAAE,IAAI,GAAG,EAAE,KAAKA,CAAC,CAAC,CAAC,EAAE,IAAIV,EAAE,IAAI,IAAIC,EAAE,CAAC,EAAE,KAAK,EAAE,OAAO,GAAG,CAAC,IAAIS,EAAE,EAAE,IAAI,EAAEV,EAAE,IAAIU,EAAE,IAAI,EAAE,EAAEA,EAAE,OAAOT,EAAE,KAAKS,CAAC,EAAEA,EAAE,SAAS,QAAQC,GAAG,CAAC,CAACX,EAAE,IAAIW,EAAE,IAAI,GAAGvC,EAAE,IAAIuC,EAAE,IAAI,GAAGA,EAAE,OAAO,MAAMC,GAAGZ,EAAE,IAAIY,EAAE,IAAI,CAAC,GAAG,EAAE,KAAKD,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOV,CAAC,CAAC,IAAIiqE,GAAG,CAAC,SAAS,QAAQ,QAAQ,OAAO,gBAAgB,cAAc,iBAAiB,KAAK,OAAO,EAAEC,GAAG,CAAC,sBAAsB,sBAAsB,sBAAsB,OAAO,EAAEC,GAAG,CAAC,YAAY,cAAc,oBAAoB,sBAAsB,kBAAkB,oBAAoB,kBAAkB,mBAAmB,EAAE,SAASN,GAAGhsE,EAAE,CAAC,OAAOosE,GAAG,QAAQpsE,EAAE,EAAE,GAAG,CAAC,CAAC,SAASisE,GAAGjsE,EAAE,CAAC,OAAOqsE,GAAG,QAAQrsE,EAAE,EAAE,GAAG,CAAC,CAAC,SAASksE,GAAGlsE,EAAE,CAAC,OAAOssE,GAAG,QAAQtsE,EAAE,EAAE,GAAG,CAAC,CAAC,IAAIusE,GAAG,KAAK,CAAC,YAAYzrE,EAAEZ,EAAE,CAAC,KAAK,MAAMY,EAAE,KAAK,OAAOZ,EAAE,KAAK,YAAY,IAAI,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,UAAU,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,qBAAqB,CAAC,EAAE,KAAK,oBAAoB,CAAC,EAAE,KAAK,mBAAmB,GAAG,KAAK,SAASY,EAAE,QAAQ,KAAK,QAAQA,EAAE,OAAO,KAAK,WAAWA,EAAE,UAAU,KAAK,WAAWA,EAAE,UAAU,KAAK,WAAWA,EAAE,UAAUA,EAAE,WAAW,MAAM,OAAO,KAAKA,EAAE,SAAS,EAAE,QAAQ,GAAG,CAAC,KAAK,qBAAqB,GAAG,IAAIyrE,GAAGzrE,EAAE,UAAU,GAAG,IAAI,CAAC,CAAC,CAAC,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,OAAO,KAAK,OAAO,UAAU,KAAK,UAAU,CAAC,IAAI,qBAAqB,CAAC,OAAO,KAAK,OAAO,KAAK,OAAO,oBAAoB,KAAK,oBAAoB,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,OAAO,KAAK,OAAO,UAAU,KAAK,UAAU,CAAC,IAAI,UAAUA,EAAE,CAAC,IAAIZ,EAAE,OAAO,KAAKY,CAAC,EAAE,IAAI,GAAGA,EAAE,GAAG,IAAIP,GAAGA,EAAE,EAAE,CAAC,EAAE,KAAK,WAAW,CAAC,EAAE,OAAO,GAAGL,CAAC,EAAE,KAAK,WAAWY,CAAC,CAAC,IAAI,gBAAgBA,EAAE,CAAC,KAAK,iBAAiBA,CAAC,CAAC,IAAI,QAAQ,CAAC,OAAO,KAAK,QAAQ,IAAIA,IAAI,CAAC,KAAKA,EAAE,KAAK,MAAMA,EAAE,WAAW,MAAMA,EAAE,WAAW,MAAM,MAAM,OAAO,MAAMA,EAAE,WAAW,MAAMA,EAAE,WAAW,MAAM,MAAM,MAAM,EAAE,CAAC,CAAC,IAAI,SAAS,CAAC,OAAO,KAAK,SAAS,IAAIA,IAAI,CAAC,KAAKA,EAAE,KAAK,MAAMA,EAAE,WAAW,MAAMA,EAAE,WAAW,MAAM,MAAM,OAAO,MAAMA,EAAE,WAAW,MAAMA,EAAE,WAAW,MAAM,MAAM,MAAM,EAAE,CAAC,CAAC,IAAI,YAAY,CAAC,OAAO,KAAK,QAAQ,IAAIA,GAAGA,EAAE,cAAcA,EAAE,IAAI,CAAC,CAAC,IAAI,aAAa,CAAC,OAAO,KAAK,SAAS,IAAIA,GAAG,CAAC,IAAIZ,EAAEY,EAAE,cAAcA,EAAE,KAAK,OAAOA,EAAE,cAAc,GAAGZ,KAAKY,EAAE,gBAAgBZ,CAAC,CAAC,CAAC,CAAC,IAAI,WAAW,CAAC,OAAO,OAAO,KAAK,KAAK,UAAU,EAAE,OAAO,CAACY,EAAEZ,KAAKY,EAAEZ,GAAG,KAAK,WAAWA,GAAG,UAAUY,GAAG,CAAC,CAAC,CAAC,CAAC,kBAAkBA,EAAEZ,EAAE,CAAC,IAAI,EAAEY,EAAE,IAAIiB,GAAGA,EAAE,IAAI,EAAE,KAAK,EAAExB,EAAEL,EAAE,IAAI6B,GAAGA,EAAE,IAAI,EAAE,KAAK,EAAE,OAAO,EAAE,KAAK,KAAK,SAAS,EAAE,KAAKxB,EAAE,KAAK,KAAK,SAAS,CAAC,CAAC,QAAQO,EAAEZ,EAAE,CAAC,IAAI,EAAE6rE,GAAGjrE,EAAEZ,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,cAAcK,EAAE,YAAYwB,EAAE,WAAWC,CAAC,EAAE,EAAE,GAAGD,GAAG,KAAK,MAAM,IAAI,MAAM,qCAAqCA,EAAE,oCAAoCA,EAAE,8GAA8GC,IAAI,EAAE,GAAGzB,EAAE,OAAO,EAAE,CAAC,IAAI0B,EAAE/B,EAAE,IAAI,GAAG,EAAE,IAAI,EAAEgC,EAAE,OAAO,KAAKpB,CAAC,EAAE,MAAM,IAAI,MAAM,+BAA+BmB,gCAAgCC,sCAAsC3B,IAAI,CAAC,CAAC,OAAO4rE,GAAG,KAAK,MAAM,KAAK,UAAU,CAAC,CAAC,CAAC,QAAQrrE,EAAEZ,EAAE,CAACY,EAAE,KAAK,UAAUA,CAAC,EAAE,IAAI,EAAE,OAAO,KAAKA,CAAC,EAAE,KAAK,EAAE,KAAK,YAAYA,CAAC,EAAE,KAAK,uBAAuBA,CAAC,EAAEZ,EAAE,KAAK,WAAWA,CAAC,EAAE,KAAK,aAAaA,CAAC,EAAE,IAAIK,EAAE,EAAE,IAAI,GAAG,KAAK,MAAM,MAAMylE,GAAG,CAAC,EAAE,GAAG,EAAEjkE,EAAE7B,EAAE,IAAI,GAAG8lE,GAAG,CAAC,EAAE,EAAE,EAAEhkE,EAAED,EAAE,IAAI,GAAG,KAAK,MAAM,MAAM,EAAE,EAAE,KAAK,yBAAyB,EAAEC,EAAE,SAAS,IAAIA,EAAE,KAAK,UAAU,IAAIC,EAAE,KAAK,kBAAkB1B,EAAEyB,CAAC,EAAEE,EAAE,KAAK,YAAY,IAAID,CAAC,EAAEC,GAAG,OAAOA,EAAE,KAAK,QAAQpB,EAAEkB,CAAC,EAAE,KAAK,YAAY,IAAIC,EAAEC,CAAC,GAAG,IAAI,EAAE,CAAC,EAAEU,EAAE,CAAC,EAAE,OAAO6wB,EAAE,IAAI,CAAC,IAAI,EAAE,IAAIq4C,GAAG,KAAK,UAAU,EAAElpE,EAAE,KAAK,mBAAmB,EAAEE,EAAE,OAAO,OAAO,CAAC,EAAE,KAAK,SAAS,EAAE,OAAO,KAAKhC,CAAC,EAAE,QAAQoD,GAAG,CAAC,GAAG,CAACC,EAAEoD,CAAC,EAAEy+D,GAAG9hE,CAAC,EAAE,EAAE,CAAC,EAAE,EAAEqD,GAAGzG,EAAEoD,GAAGpB,EAAEqB,GAAG,CAAC,CAAC,EAAE,IAAIpB,EAAE,KAAK,mBAAmBD,CAAC,EAAEE,EAAE,CAAC,EAAE,QAAQkB,EAAE,EAAEA,EAAEhC,EAAE,OAAOgC,IAAI,CAAC,IAAIC,EAAEjC,EAAEgC,GAAG,GAAG,CAACpB,EAAEqB,EAAE,MAAM,CAAC,IAAIoD,EAAEskE,GAAG1nE,EAAErB,EAAE,EAAE,KAAK,gBAAgB,EAAE,GAAGgkB,EAAE,UAAUvf,CAAC,EAAE,MAAM,IAAI,MAAM,4BAA4BpD,EAAE,kEAAkE,EAAErB,EAAEqB,EAAE,MAAMoD,EAAE,KAAK,uBAAuBpD,EAAE,KAAKA,EAAErB,EAAE,EAAEC,EAAEhB,EAAEiB,CAAC,CAAC,CAAC,CAAC,OAAO,KAAK,QAAQ,MAAM,EAAE,QAAQD,CAAC,EAAE7C,EAAE,IAAIgE,GAAG6hE,GAAG7hE,EAAEpB,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBhC,EAAE,CAAC,IAAIZ,EAAE,CAAC,EAAE,OAAO,MAAM,CAAC,EAAE,OAAO,KAAKY,CAAC,EAAE,IAAI,GAAGA,EAAE,EAAE,EAAE,IAAI,GAAG,EAAE,IAAIP,GAAGA,EAAE,EAAE,CAAC,CAAC,EAAE,OAAO,IAAI,IAAIL,CAAC,CAAC,CAAC,uBAAuBY,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAEC,EAAE,CAAC/B,EAAE,WAAW,WAAW8B,EAAE,QAAQlB,CAAC,IAAI,KAAK,EAAEA,GAAG,QAAQoB,GAAG,CAACA,GAAG,OAAOD,EAAEC,EAAE,KAAKD,EAAEC,EAAE,KAAK,GAAGhC,EAAE,SAAS,OAAO,CAAC,EAAEA,EAAE,OAAO,QAAQgC,GAAG,CAAC,GAAGA,EAAE,WAAW,UAAU,CAAC,IAAI,EAAEgkE,GAAGhkE,EAAE,KAAK,EAAE3B,CAAC,EAAE,GAAG,MAAM,EAAE,QAAQqC,GAAG,CAAC,GAAGA,GAAG,CAACA,EAAE,MAAM,CAACb,EAAE,IAAIa,EAAE,EAAE,EAAE,CAAC,IAAI,EAAEX,EAAEW,EAAE,IAAI,GAAG,IAAI,EAAE,CAAC,GAAG,CAAC,KAAK,mBAAmBA,EAAE,QAAQ,MAAM,CAAC,GAAG,CAACE,EAAEC,CAAC,EAAEojE,GAAGjmE,EAAE,KAAKK,CAAC,EAAE,KAAK,oBAAoBuC,GAAG,KAAK,oBAAoBA,GAAGC,GAAGH,GAAG,KAAK,oBAAoBE,GAAG,CAAC,EAAE,KAAK,oBAAoBA,GAAGC,GAAGH,EAAE,CAAC,OAAOX,EAAEW,EAAE,GAAG,MAAM,GAAG,MAAMX,EAAEW,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,MAAM,aAAa9B,EAAEZ,EAAE,CAAC,OAAO,KAAK,cAAcY,EAAEZ,CAAC,CAAC,CAAC,4BAA4B,CAAC,CAAC,KAAK,sBAAsB,OAAO,KAAK,KAAK,mBAAmB,EAAE,QAAQY,GAAG,KAAK,oBAAoBA,GAAG,QAAQZ,GAAGA,EAAE,QAAQ,CAAC,CAAC,EAAE,KAAK,kBAAkB,EAAE,CAAC,mBAAmB,CAAC,CAAC,KAAK,YAAY,OAAO,KAAK,KAAK,UAAU,EAAE,QAAQY,GAAG,CAAC,KAAK,WAAWA,GAAG,QAAQR,GAAG,CAACA,GAAG,CAACA,EAAE,MAAM,CAACA,EAAE,YAAY,CAAC,KAAK,QAAQ,IAAIA,EAAE,EAAE,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,wBAAwB,CAAC,OAAO,KAAK,UAAU,CAAC,0BAA0B,CAAC,QAAQQ,KAAK,KAAK,oBAAoB,KAAK,oBAAoBA,GAAG,QAAQZ,GAAGA,EAAE,QAAQ,CAAC,EAAE,OAAO,KAAK,oBAAoBY,EAAE,CAAC,MAAM,cAAcA,EAAEZ,EAAE,EAAE,GAAGK,EAAE,CAAC,EAAEwB,EAAE,CAAC,EAAE,CAAC,IAAIjB,EAAE,KAAK,UAAUA,CAAC,EAAE,KAAK,YAAYA,CAAC,EAAE,KAAK,uBAAuBA,CAAC,EAAEZ,EAAE,KAAK,WAAWA,CAAC,EAAE,KAAK,aAAaA,CAAC,GAAG,GAAG,CAAC,KAAK,mBAAmBua,EAAE,EAAE,QAAQ,2BAA2B,CAAC,OAAO7X,EAAN,CAAS,QAAQ,KAAKA,EAAE,OAAO,CAAC,CAAC,KAAK,yBAAyB,EAAE,IAAIZ,EAAE,IAAI8pE,GAAG,KAAK,UAAUvrE,EAAEwB,EAAE,KAAK,mBAAmB,EAAE,KAAK,WAAW,MAAM,KAAK,uBAAuBjB,EAAEkB,EAAE9B,EAAE,CAAC,EAAE,IAAI+B,EAAE/B,EAAE,IAAI0C,GAAGmjE,GAAGnjE,EAAE,KAAK,WAAWZ,CAAC,CAAC,EAAEE,EAAED,EAAE,IAAIW,GAAGA,EAAE,EAAE,EAAE,EAAE,OAAO,KAAK9B,CAAC,EAAE,IAAI8B,GAAG9B,EAAE8B,GAAG,EAAE,EAAE,OAAO,KAAK,QAAQ,IAAI,IAAI,CAAC,GAAGV,EAAE,GAAG,EAAE,GAAG,KAAK,SAAS,CAAC,EAAE,KAAK,oBAAoB,KAAK,kBAAkB,EAAE,KAAK,QAAQ,MAAMF,EAAE,QAAQ,KAAK,OAAO,EAAEC,CAAC,CAAC,MAAM,qBAAqBnB,EAAEZ,EAAE,EAAE,CAAC,IAAIK,EAAEO,EAAE,OAAO,CAACiB,EAAEC,EAAEC,KAAKF,EAAE,KAAK,OAAOE,GAAG,MAAMD,EAAED,GAAG,CAAC,CAAC,EAAE,OAAO,KAAK,cAAcxB,EAAE,KAAK,YAAY,GAAGL,EAAE,CAAC,CAAC,CAAC,MAAM,uBAAuBY,EAAEZ,EAAE,EAAEK,EAAE,CAAC,IAAIwB,EAAE,OAAO,KAAKjB,CAAC,EAAEkB,EAAED,EAAE,IAAI4C,GAAG,KAAK,MAAM,MAAMqhE,GAAGrhE,CAAC,EAAE,GAAG,EAAE1C,EAAE,EAAE,IAAI0C,GAAGqhE,GAAGrhE,CAAC,EAAE,EAAE,EAAEzC,EAAED,EAAE,IAAI0C,GAAG,KAAK,MAAM,MAAMA,EAAE,EAAEzC,EAAE,SAAS,IAAIA,EAAE,KAAK,UAAU,GAAG,CAAC,UAAU,EAAE,cAAcU,EAAE,YAAY,EAAE,WAAWE,CAAC,EAAEipE,GAAGjrE,EAAEoB,EAAE,KAAK,UAAU,KAAK,UAAU,EAAEa,EAAE,CAAC,GAAGf,EAAE,GAAG,KAAK,MAAM,QAAQ,GAAG,KAAK,YAAY,CAAC,CAAC,EAAE,IAAI2C,IAAI,CAAC,KAAKA,EAAE,SAASzE,EAAE,cAAc,EAAE,EAAE8C,EAAE,OAAO,OAAO,CAAC,EAAE,KAAK,SAAS,EAAE,OAAO,KAAKlC,CAAC,EAAE,QAAQ6D,GAAG,CAAC,GAAG,CAACC,EAAEC,CAAC,EAAEmhE,GAAGrhE,CAAC,EAAEG,EAAE,CAAC,EAAEA,EAAED,GAAG/D,EAAE6D,GAAG3B,EAAE4B,GAAGE,CAAC,CAAC,EAAE,IAAIZ,EAAE,CAAC,EAAEC,EAAE,KAAK,mBAAmBnB,CAAC,EAAEuE,EAAE,CAAC,EAAE,KAAKxE,EAAE,OAAO,GAAG,CAAC,IAAI4B,EAAE,KAAK,aAAa3C,EAAEe,EAAE7C,EAAE8C,EAAEuE,EAAEpD,EAAElC,EAAEiC,EAAE,CAAC,EAAE,MAAM,QAAQ,IAAIS,CAAC,CAAC,CAAC,GAAG,MAAM,CAACpE,GAAG,QAAQ,KAAK,iIAAiI,EAAE,IAAI,EAAE2B,EAAE,OAAOyC,GAAG,CAACqnE,GAAGrnE,CAAC,GAAG,CAACohE,GAAGphE,EAAE,KAAK3B,EAAE9C,CAAC,CAAC,EAAE,IAAIyE,GAAGA,EAAE,IAAI,EAAE,GAAG,EAAE,OAAO,EAAE,CAAC,IAAIA,EAAE,GAAG,MAAM,GAAG,OAAOA,EAAE,wFAAwF7B,MAAM,IAAI,MAAM,+BAA+B,gCAAgCf,iDAAiDa,OAAO+B,GAAG,CAAC,CAAC,OAAO3B,CAAC,CAAC,aAAalC,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAEC,EAAEC,EAAE,EAAE,CAAC,IAAIU,EAAE,CAAC,EAAE,KAAK1C,EAAE,OAAO,GAAG,CAAC,IAAI,EAAEA,EAAE,IAAI,EAAE,EAAE,eAAe,EAAE,SAAS,IAAI4C,EAAE,GAAG,GAAG,EAAE,KAAK,KAAK,SAASgjE,EAAE,aAAa,EAAE,KAAKvlE,EAAE,CAAC,IAAI,CAACuC,CAAC,EAAEqjE,GAAG,EAAE,KAAK,KAAK,CAAC,GAAG5lE,EAAE,EAAE,KAAK,OAAO,KAAK,CAAC,IAAIwC,EAAE8oE,GAAG,EAAE,KAAKtrE,EAAE,EAAE,KAAK,gBAAgB,EAAEuC,IAAI,CAACA,CAAC,EAAEqjE,GAAG,EAAE,KAAK,KAAK,CAAC,GAAG,IAAInjE,EAAE,EAAE,eAAe8jB,EAAE,UAAU/jB,CAAC,EAAEH,EAAE,KAAKG,EAAE,KAAKmB,IAAI3D,EAAEuC,GAAGoB,EAAE,EAAE,eAAelB,EAAE,KAAK,uBAAuBF,EAAE,EAAE,KAAKvC,EAAE,EAAEyB,EAAEC,EAAEC,CAAC,EAAE,KAAK,kBAAkB,EAAE,KAAKhC,EAAE,EAAEK,EAAEwB,EAAE,CAAC,EAAEmC,EAAE,CAAC,GAAG3D,EAAEuC,GAAGC,EAAE,KAAK,uBAAuBD,EAAE,EAAE,KAAKvC,EAAE,EAAEyB,EAAEC,EAAEC,CAAC,EAAE,KAAK,kBAAkB,EAAE,KAAKhC,EAAE,EAAEK,EAAEwB,EAAE,CAAC,EAAE,MAAM,KAAK,kBAAkB,EAAE,KAAK7B,EAAE,EAAEK,EAAEwB,EAAE,CAAC,CAAC,CAAC,OAAOa,CAAC,CAAC,kBAAkB9B,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAE,CAAClB,EAAE,SAAS,QAAQmB,GAAG,CAAC,GAAG,CAACC,CAAC,EAAEikE,GAAGlkE,EAAE,KAAK,CAAC,EAAEF,EAAEG,IAAI,CAACF,EAAE,IAAIC,EAAE,IAAI,IAAIA,EAAE,KAAK,QAAQA,EAAE,WAAW,KAAK,GAAG,CAAC,CAAC8jE,GAAG,EAAExlE,EAAE,CAAC,CAAC,IAAIwB,EAAEG,GAAG,GAAGhC,EAAE,KAAK,CAAC,SAAS,EAAE,eAAe,KAAK+B,CAAC,CAAC,GAAGA,EAAE,WAAW,MAAM,GAAG,CAAC,CAAC8jE,GAAG,EAAExlE,EAAE,CAAC,CAAC,IAAIwB,EAAEG,GAAG,GAAGhC,EAAE,KAAK,CAAC,SAAS,EAAE,eAAe,KAAK+B,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,SAAS,CAAC,OAAO,KAAK,KAAK,SAAS,EAAE,QAAQnB,GAAG,KAAK,UAAUA,GAAG,QAAQZ,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,uBAAuBY,EAAE,CAAC,OAAO,KAAKA,CAAC,EAAE,QAAQZ,GAAG,CAAC,IAAI,EAAEY,EAAEZ,GAAG,CAACK,CAAC,EAAEylE,GAAG9lE,CAAC,EAAE6B,EAAE,KAAK,MAAM,MAAMxB,GAAG,GAAGwB,EAAE,WAAW,OAAOA,EAAE,WAAW,MAAM,MAAM,CAAC,IAAIC,EAAED,EAAE,WAAW,MAAM,MAAME,EAAED,EAAE,SAAS,EAAE,MAAM,QAAQ,EAAE,MAAM,MAAM,CAACE,EAAE,IAAIF,EAAE,KAAK,IAAIA,EAAE,KAAKE,CAAC,EAAE4kB,EAAE,OAAO7kB,EAAE,IAAI,sBAAsBF,EAAE,mDAAmDC,gBAAgB,EAAE,QAAQ,CAAC,CAACD,EAAE,WAAW,OAAOA,EAAE,WAAW,MAAM,OAAO+kB,EAAE,OAAO,EAAE,QAAQ/kB,EAAE,WAAW,MAAM,MAAM,IAAI,sBAAsBA,EAAE,kDAAkDA,EAAE,WAAW,MAAM,kBAAkB,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,UAAUjB,EAAE,CAAC,IAAIZ,EAAE,CAAC,EAAE,QAAQ,KAAKY,EAAE,GAAG,KAAK,YAAY,MAAM,KAAK,WAAW,QAAQ,MAAM,KAAK,WAAW,OAAO,IAAI,KAAK,CAAC,IAAIP,EAAE,KAAK,WAAW,OAAO,GAAGL,EAAEK,EAAE,MAAMO,EAAE,EAAE,MAAMZ,EAAE,GAAGY,EAAE,GAAG,OAAOZ,CAAC,CAAC,YAAYY,EAAE,CAAC,IAAIZ,EAAE,OAAO,KAAKY,CAAC,EAAE,OAAO,GAAG,CAAC,GAAG,CAACP,CAAC,EAAEylE,GAAG,CAAC,EAAE,OAAO,KAAK,MAAM,MAAMzlE,IAAI,IAAI,CAAC,EAAE,GAAGL,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,uDAAuDA,+BAA+B,CAAC,CAAC,WAAWY,EAAE,CAAC,OAAOA,EAAE,IAAIZ,GAAG,KAAK,YAAY,MAAM,KAAK,WAAW,SAAS,MAAM,KAAK,WAAW,QAAQA,IAAI,KAAK,KAAK,WAAW,QAAQA,GAAG,KAAKA,EAAE,CAAC,CAAC,CAAC,CAAC,aAAaY,EAAE,CAACA,EAAE,QAAQZ,GAAG,CAAC,GAAG,CAAC,CAAC,EAAE8lE,GAAG9lE,CAAC,EAAE,GAAG,CAAC,KAAK,MAAM,MAAM,GAAG,MAAM,IAAI,MAAM,eAAeA,8BAA8B,CAAC,CAAC,CAAC,CAAC,EAAMssE,GAAG,KAAK,CAAC,YAAY1rE,EAAE,CAAC,EAAEZ,EAAE,CAAC,EAAE,CAAC,KAAK,sBAAsBY,EAAE,KAAK,aAAaZ,CAAC,CAAC,aAAaY,EAAEZ,EAAE,CAAC,KAAK,sBAAsBY,GAAGZ,EAAE,OAAO,KAAK,aAAaA,EAAE,IAAIA,CAAC,CAAC,yBAAyBY,EAAE,CAAC,OAAO,KAAK,sBAAsBA,EAAE,CAAC,iBAAiBA,EAAE,CAAC,OAAO,KAAK,aAAaA,EAAE,CAAC,SAAS,CAAC,QAAQA,KAAK,KAAK,aAAa,KAAK,aAAaA,GAAG,cAAc,EAAE,OAAO,KAAK,aAAaA,GAAG,QAAQA,KAAK,KAAK,sBAAsB,KAAK,sBAAsBA,GAAG,QAAQ,EAAE,OAAO,KAAK,sBAAsBA,EAAE,CAAC,EAAM2rE,GAAG,oBAAoBC,GAAG,aAAaC,GAAG,KAAK,CAAC,YAAY7rE,EAAEZ,EAAE,CAAC,EAAE,EAAE4wB,GAAG,CAAC,KAAK,SAAShwB,EAAE,KAAK,YAAYZ,EAAE,KAAK,QAAQ,MAAM,KAAK,GAAG,EAAEA,GAAG,OAAO,KAAK,YAAY,CAAC,GAAG,KAAK,gBAAgB,IAAIssE,EAAE,CAAC,IAAI,cAAc,CAAC,OAAO,KAAK,OAAO,CAAC,IAAI,YAAY,CAAC,OAAO,KAAK,SAAS,UAAU,CAAC,IAAI,aAAa,CAAC,OAAO,KAAK,SAAS,WAAW,CAAC,IAAI,QAAQ,CAAC,OAAO,KAAK,SAAS,MAAM,CAAC,IAAI,SAAS,CAAC,OAAO,KAAK,SAAS,OAAO,CAAC,IAAI,SAAS,CAAC,OAAO,KAAK,SAAS,SAAS,CAAC,IAAI,UAAU,CAAC,OAAO,KAAK,UAAU,mBAAmB,CAAC,IAAI,gBAAgB,CAAC,OAAO,KAAK,SAAS,CAAC,IAAI,2BAA2B,CAAC,OAAO,KAAK,oBAAoB,CAAC,eAAe,CAAC,IAAI1rE,EAAE,KAAK,SAAS,GAAGA,EAAE,MAAM,KAAK,KAAK,QAAQA,UAAU,KAAK,YAAY,aAAa,KAAK,KAAK,QAAQ,KAAK,GAAG,mBAAmBA,EAAE,KAAK,WAAW,MAAM,CAAC,IAAIZ,EAAE,KAAK,GAAG,gBAAgBY,EAAE,KAAK,WAAW,EAAE,GAAGZ,EAAE,SAAS,EAAEA,EAAE,KAAK,KAAK,GAAG,mBAAmBY,EAAE,KAAK,WAAW,CAAC,UAAUZ,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,wBAAwBA,EAAE,kCAAkC,CAACY,CAAC,IAAI,EAAE,KAAK,QAAQZ,EAAE,EAAE,CAAC,CAAC,MAAM,CAAC,GAAG,KAAK,cAAc,EAAE,KAAK,QAAQ,MAAM,KAAK,MAAM,IAAI,MAAM,+GAA+G,EAAE,IAAIY,EAAE,KAAK,QAAQ,KAAK,EAAE,OAAOgmB,EAAE,UAAUhmB,CAAC,EAAEA,EAAE,KAAKZ,GAAG,KAAK,SAASA,CAAC,CAAC,EAAE,KAAK,SAASY,CAAC,CAAC,CAAC,SAASA,EAAE,CAAC,KAAK,UAAUA,EAAE,IAAIZ,EAAE,KAAK,UAAU,cAAc,EAAE,KAAK,UAAU,UAAU,GAAG,KAAK,UAAU,qBAAqB,KAAK,CAAC,IAAI6B,EAAE,KAAK,UAAU,oBAAoBA,EAAE,WAAW,OAAO,EAAEA,EAAE,WAAWA,EAAE,sBAAsB,OAAO,KAAK,qBAAqBA,EAAE,qBAAqB,CAAC,KAAK,UAAU,EAAE,KAAK,QAAQ,GAAG7B,EAAE,SAAS,YAAYA,EAAE,SAAS,cAAc,IAAIK,EAAE,KAAK,GAAG,cAAc,KAAK,UAAU,WAAW,KAAK,UAAU,WAAW,EAAE,GAAG,KAAK,SAAS,IAAIgsE,GAAG3D,GAAG,SAAS,eAAe1oE,EAAE,KAAK,SAAS,CAAC,EAAE,KAAK,SAAS,UAAU,KAAK,6BAA6BK,CAAC,EAAE,KAAK,SAAS,gBAAgB,KAAK,gBAAgBO,EAAE,kBAAkB,MAAMA,EAAE,iBAAiB,MAAM,KAAK,CAAC,IAAIiB,EAAE6mE,GAAG,SAAS,eAAe9nE,EAAE,gBAAgB,EAAE,KAAK,YAAY,IAAIyrE,GAAGxqE,CAAC,EAAE,KAAK,YAAY,UAAU,KAAK,SAAS,UAAU,KAAK,YAAY,gBAAgB,KAAK,gBAAgB,KAAK,qBAAqBjB,EAAE,oBAAoB,CAAC,MAAM,EAAE,CAAC,MAAM,KAAKA,EAAEZ,EAAE,CAAC,GAAG,OAAOY,GAAG,SAAS,CAAC,IAAI,EAAE,KAAK,GAAG,gBAAgBA,CAAC,EAAE,GAAG,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,0CAA0CA,IAAI,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,wBAAwB,EAAE,kCAAkCA,IAAI,EAAEA,EAAE,EAAE,EAAE,CAAC,GAAGA,EAAE,MAAM,KAAK,MAAM,IAAI,MAAM,6GAA6G,EAAE,OAAOA,EAAE,KAAK,KAAK,SAAS,CAAC,CAAC,QAAQA,EAAEZ,EAAE,CAAC,IAAI,EAAE,KAAK,QAAQY,EAAE,KAAK,WAAW,EAAE,GAAG,KAAK,qBAAqB,CAAC,IAAIP,EAAE,aAAaspB,GAAG,CAAC,CAAC,EAAE,EAAE9nB,EAAE,CAAC,EAAE,OAAOxB,EAAE,QAAQ,CAACyB,EAAEC,IAAIF,EAAE,KAAK,qBAAqBE,IAAID,CAAC,EAAED,CAAC,CAAC,OAAO,CAAC,CAAC,gBAAgBjB,EAAE,CAAC,GAAG,EAAEA,aAAa+oB,KAAK,CAAC,MAAM,QAAQ/oB,CAAC,EAAE,CAAC,GAAG,KAAK,WAAW,MAAM,KAAK,UAAU,QAAQ,KAAK,QAAQP,KAAK,KAAK,UAAU,OAAO,CAAC,IAAIwB,EAAE,KAAK,UAAU,OAAOxB,GAAGwB,EAAE,YAAY,OAAOjB,EAAEP,GAAG,KAAK,0BAA0BwB,EAAE,YAAY,CAAC,OAAOjB,CAAC,CAACA,EAAE,MAAM,QAAQA,CAAC,EAAEA,EAAE,CAACA,CAAC,EAAE,IAAIZ,EAAE,OAAO,KAAK,KAAK,yBAAyB,EAAE,OAAO,GAAGY,EAAE,OAAOZ,IAAI,KAAK,WAAW,OAAO,MAAM,IAAI,MAAM,oDAAoD,KAAK,WAAW,OAAOA,gDAAgDY,EAAE,gCAAgC,EAAE,IAAI,EAAE,EAAE,OAAO,KAAK,WAAW,OAAO,CAACP,EAAEwB,IAAI,CAAC,IAAIC,EAAE,KAAK,UAAU,KAAK,UAAU,OAAOD,GAAG,KAAK,OAAOC,GAAG,MAAMA,EAAE,YAAY,KAAKzB,EAAEwB,GAAG,KAAK,0BAA0BC,EAAE,YAAYzB,EAAEwB,GAAGjB,EAAE,KAAKP,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,iBAAiBO,EAAE,CAAC,OAAOA,EAAEA,GAAG,KAAK,YAAY,MAAM,QAAQA,CAAC,EAAEA,EAAE,CAACA,CAAC,CAAC,CAAC,yBAAyB,CAAC,OAAO,KAAK,aAAa,KAAK,CAAC,EAAE,KAAK,sBAAsB,KAAK,KAAK,YAAY,QAAQ,CAAC,EAAE,CAAC,CAAC,EAAE,KAAK,YAAY,QAAQ,CAAC,EAAE,OAAO,KAAK,KAAK,qBAAqB,OAAO,CAAC,CAAC,CAAC,MAAM,8BAA8B,CAAC,OAAO,KAAK,aAAa,KAAK,CAAC,EAAE,KAAK,sBAAsB,KAAK,KAAK,YAAY,aAAa,CAAC,EAAE,CAAC,CAAC,EAAE,KAAK,YAAY,aAAa,CAAC,EAAE,OAAO,KAAK,KAAK,qBAAqB,OAAO,CAAC,CAAC,CAAC,6BAA6BA,EAAE,CAAC,GAAG,KAAK,0BAA0B,CAAC,EAAE,KAAK,qBAAqB,CAAC,IAAIZ,EAAE,OAAO,KAAK,KAAK,qBAAqB,OAAO,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,IAAI,CAAC,IAAIK,EAAEL,EAAE,GAAG6B,EAAE,KAAK,qBAAqB,QAAQxB,GAAG,KAAK,0BAA0BwB,EAAE,YAAYjB,EAAE,EAAE,CAAC,CAAC,CAAC,QAAQA,EAAEZ,EAAE,CAAC,KAAK,2BAA2B,MAAM,KAAK,6BAA6B,KAAK,wBAAwB,CAAC,EAAEY,EAAE,KAAK,gBAAgBA,CAAC,EAAEZ,EAAE,KAAK,iBAAiBA,CAAC,EAAE,IAAI,EAAE,KAAK,SAAS,QAAQY,EAAEZ,CAAC,EAAE,OAAO,EAAE,OAAO,EAAE,EAAE,EAAE,EAAE,CAAC,MAAM,aAAaY,EAAEZ,EAAE,CAAC,KAAK,2BAA2B,MAAM,KAAK,6BAA6B,MAAM,KAAK,6BAA6B,CAAC,EAAEY,EAAE,KAAK,gBAAgBA,CAAC,EAAEZ,EAAE,KAAK,iBAAiBA,CAAC,EAAE,IAAI,EAAE,MAAM,KAAK,SAAS,aAAaY,EAAEZ,CAAC,EAAE,OAAO,EAAE,OAAO,EAAE,EAAE,EAAE,EAAE,CAAC,wBAAwB,CAAC,OAAO,KAAK,SAAS,uBAAuB,CAAC,CAAC,4BAA4B,CAAC,KAAK,SAAS,2BAA2B,CAAC,CAAC,6BAA6BY,EAAE,CAAC,OAAO,OAAO,KAAKA,CAAC,EAAE,OAAO,CAACZ,EAAE,KAAKA,EAAE,GAAG,CAACY,EAAE,EAAE,EAAEZ,GAAG,CAAC,CAAC,CAAC,CAAC,SAAS,CAAC,KAAK,SAAS,QAAQ,EAAE,KAAK,cAAc,KAAK,YAAY,QAAQ,EAAE,KAAK,2BAA2BwzB,GAAG,KAAK,yBAAyB,GAAG,KAAK,gBAAgB,QAAQ,CAAC,CAAC,EAAE,eAAek5C,GAAG5sE,EAAE,EAAE,CAAC,EAAEE,EAAE4wB,GAAG,CAAC,GAAG9wB,GAAG,KAAK,MAAM,IAAI,MAAM,wGAAwG,EAAE,GAAG,OAAO,EAAE,CAAC,GAAG,EAAE,WAAW,OAAOA,GAAG,WAAWA,EAAE6sE,GAAG7sE,CAAC,GAAG,IAAIM,EAAE,IAAIqsE,GAAG3sE,EAAE,EAAEE,CAAC,EAAE,OAAO,MAAMI,EAAE,KAAK,EAAEA,CAAC,CAAC,SAASwsE,GAAG9sE,EAAE,CAAC,GAAGA,GAAG,KAAK,MAAM,IAAI,MAAM,sHAAsH,EAAE,IAAI,EAAE,GAAGA,aAAa,MAAM,CAAC,GAAG,CAACM,EAAEC,CAAC,EAAEP,EAAE,GAAG,CAACM,EAAE,MAAM,IAAI,MAAM,kDAAkD,EAAE,GAAG,CAACC,GAAG,EAAEA,aAAa,aAAa,MAAM,IAAI,MAAM,mEAAmE,EAAE,GAAG,EAAE,kBAAkBD,GAAG,MAAM,IAAI,MAAM,uCAAuC,EAAE,GAAG,EAAE,oBAAoBA,GAAG,MAAM,IAAI,MAAM,yCAAyC,EAAE,IAAI,EAAEwwB,GAAG,eAAexwB,EAAE,eAAe,EAAE,EAAEwwB,GAAG,6BAA6BxwB,EAAE,EAAEC,CAAC,EAAE,EAAEuwB,GAAG,eAAe,CAAC,CAAC,SAAS,SAAS9wB,EAAE,EAAEA,UAAU,kBAAkBA,GAAG,gBAAgBA,GAAG,eAAeA,EAAE,EAAE8wB,GAAG,eAAe9wB,CAAC,MAAO,OAAM,IAAI,MAAM,sBAAsB,EAAE,IAAIE,EAAE,IAAIysE,GAAG,CAAC,EAAE,OAAOzsE,EAAE,KAAK,EAAEA,CAAC,CAAC,SAAS2sE,GAAG7sE,EAAE,CAAC,OAAOA,EAAE,SAAS,GAAG,IAAIA,EAAEA,EAAE,KAAK,GAAGA,IAAI0sE,KAAKD,IAAI,CAAC,IAAIM,GAAG,QAAYC,GAAG,CAAC,EAAE5sE,GAAG4sE,GAAG,CAAC,WAAW,IAAIC,GAAG,QAAQ,IAAIC,GAAG,eAAe,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,cAAc,IAAIC,GAAG,MAAM,IAAIC,GAAG,IAAI,IAAIC,GAAG,KAAK,IAAIC,GAAG,UAAU,IAAIC,GAAG,WAAW,IAAIC,GAAG,aAAa,IAAIC,GAAG,OAAO,IAAIC,GAAG,IAAI,IAAIC,EAAE,CAAC,EAAE,IAAIC,GAAGttE,GAAG+E,GAAG,CAAC,EAAMwoE,GAAGvtE,GAAG+E,GAAG,CAAC,EAAE,SAASyoE,GAAGhuE,EAAE,EAAE,CAAC,OAAOiuE,GAAGjuE,EAAE,CAAC,CAAC,CAAC,SAASiuE,GAAGjuE,EAAE,EAAEE,EAAE,IAAI,IAAII,EAAE,IAAI,IAAI,CAAC,GAAGN,GAAG,KAAK,OAAO,KAAK,GAAG,OAAO,MAAM,YAAYA,aAAa,KAAK,OAAOA,EAAE,MAAM,EAAE,GAAGM,EAAE,IAAIN,CAAC,EAAE,MAAM,IAAI,MAAM,wCAAwC,EAAE,GAAGE,EAAE,IAAIF,CAAC,EAAE,OAAOE,EAAE,IAAIF,CAAC,EAAE,IAAIO,EAAE,EAAEP,CAAC,EAAE,GAAGO,EAAE,SAASA,EAAE,QAAQ,KAAK,MAAM,IAAI,MAAM,mEAAmE,EAAE,GAAGA,EAAE,QAAQ,GAAG2tE,GAAGluE,CAAC,EAAE,CAAC,IAAI,EAAE,MAAM,QAAQA,CAAC,EAAE,CAAC,EAAE,CAAC,EAAEM,EAAE,IAAIN,CAAC,EAAE,QAAQ,KAAKA,EAAE,CAAC,IAAIiC,EAAEjC,EAAE,GAAGkC,EAAE+rE,GAAGhsE,EAAE,EAAE/B,EAAEI,CAAC,EAAE,EAAE,GAAG4B,CAAC,CAAC,OAAO5B,EAAE,OAAON,CAAC,EAAEA,EAAE,YAAY,EAAE,UAAUA,EAAE,WAAW,CAAC,KAAM,OAAM,IAAI,MAAM,yCAAyCA,GAAG,MAAO,QAAOE,EAAE,IAAIF,EAAEO,EAAE,KAAK,EAAEA,EAAE,KAAK,CAAC,SAAS4tE,GAAGnuE,EAAE,EAAEouE,GAAG,CAAC,OAAOC,GAAGruE,EAAE,CAAC,CAAC,CAAC,SAASquE,GAAGruE,EAAE,EAAEE,EAAE,IAAI,IAAI,CAAC,IAAII,EAAEN,EAAE,GAAG,GAAGE,EAAE,IAAII,CAAC,EAAE,MAAM,IAAI,MAAM,wCAAwC,EAAE,IAAIC,EAAE,EAAEP,CAAC,EAAE,GAAGO,EAAE,SAASA,EAAE,QAAQ,KAAK,MAAM,IAAI,MAAM,mEAAmE,EAAE,GAAGA,EAAE,QAAQ,GAAG2tE,GAAG5tE,CAAC,EAAE,CAAC,IAAI,EAAE,MAAM,QAAQA,CAAC,EAAE,CAAC,EAAE,CAAC,EAAEJ,EAAE,IAAII,CAAC,EAAE,QAAQ,KAAKA,EAAE,CAAC,IAAI2B,EAAEjC,EAAE,IAAImC,GAAGA,EAAE,EAAE,EAAED,EAAEmsE,GAAGpsE,EAAE,EAAE/B,CAAC,EAAE,EAAE,GAAGgC,CAAC,CAAC,OAAOhC,EAAE,OAAOI,CAAC,EAAE,CAAC,KAAM,OAAM,IAAI,MAAM,yCAAyCA,GAAG,MAAO,QAAOC,EAAE,KAAK,CAAC,SAAS6tE,GAAGpuE,EAAE,CAAC,OAAOA,IAAI,KAAK,KAAKkuE,GAAGluE,EAAE,EAAE,EAAE,CAAC,MAAM,KAAK,QAAQ,EAAE,EAAE,CAAC,MAAMA,EAAE,QAAQ,EAAE,CAAC,CAAC,eAAesuE,GAAGtuE,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,IAAI+tE,GAAGjuE,EAAE,EAAEE,CAAC,EAAE,QAAQK,KAAK,MAAM,KAAKL,EAAE,KAAK,CAAC,EAAE,CAAC,IAAI6B,EAAE7B,EAAE,IAAIK,CAAC,EAAE,GAAGumB,EAAE,UAAU/kB,CAAC,EAAE,CAAC,IAAIC,EAAE,MAAMD,EAAE7B,EAAE,IAAIK,EAAEyB,CAAC,CAAC,CAAC,CAAC,OAAOisE,GAAGjuE,EAAE,EAAEE,CAAC,CAAC,CAAC,SAASguE,GAAGluE,EAAE,CAAC,IAAI,EAAE,GAAG,GAAGya,EAAE,EAAE,IAAI,YAAY,EAAE,EAAEza,aAAa,gBAAgB,CAAC,GAAG,CAAC,cAAcE,CAAC,EAAE+F,GAAG,EAAE,EAAEjG,aAAaE,CAAC,CAAC,OAAOF,GAAG,MAAM,CAAC,YAAY,OAAOA,CAAC,IAAI,MAAM,QAAQA,CAAC,GAAG,OAAOA,GAAG,UAAU,EAAEA,aAAa6pB,KAAK,EAAE7pB,aAAa,UAAU,CAAC,EAAE,CAAC,SAASuuE,GAAGvuE,EAAE,CAAC,OAAOA,GAAG,MAAMwuE,GAAGxuE,CAAC,GAAG,MAAM,QAAQA,CAAC,GAAG,OAAOA,GAAG,UAAUA,aAAa6pB,IAAI/C,EAAE,aAAa9mB,CAAC,CAAC,CAAC,SAASwuE,GAAGxuE,EAAE,CAAC,OAAOA,IAAI,MAAM,OAAOA,GAAG,UAAU,OAAOA,GAAG,UAAU,CAAC,SAASyuE,GAAGzuE,EAAE,CAAC,OAAOguE,GAAGhuE,EAAE0uE,EAAE,CAAC,CAAC,SAASA,GAAG1uE,EAAE,CAAC,OAAOA,aAAa6pB,GAAG,CAAC,MAAM7pB,EAAE,MAAM,EAAE,QAAQ,EAAE,EAAEkuE,GAAGluE,CAAC,EAAE,CAAC,MAAM,KAAK,QAAQ,EAAE,EAAE,CAAC,MAAMA,EAAE,QAAQ,EAAE,CAAC,CAAC,IAAI2uE,GAAG,KAAK,CAAC,YAAY7tE,EAAE,CAAC,GAAG,KAAK,SAASA,EAAE,KAAK,MAAM,EAAE,KAAK,IAAI,EAAEA,GAAG,KAAK,MAAM,IAAI,WAAW,iDAAiD,EAAE,GAAGA,EAAE,EAAE,MAAM,IAAI,WAAW,2CAA2C,EAAE,KAAK,KAAK,IAAI,MAAMA,CAAC,EAAE,KAAK,gBAAgB,EAAEA,CAAC,CAAC,KAAKA,EAAE,CAAC,KAAKA,EAAE,GAAGA,GAAG,KAAK,gBAAgB,OAAOA,EAAE,KAAK,eAAe,CAAC,IAAIA,EAAE,CAAC,GAAGA,EAAE,EAAE,MAAM,IAAI,WAAW,qCAAqC,EAAE,OAAO,KAAK,KAAKA,EAAE,KAAK,SAAS,CAAC,IAAIA,EAAEZ,EAAE,CAAC,GAAGY,EAAE,EAAE,MAAM,IAAI,WAAW,qCAAqC,EAAE,KAAK,KAAKA,EAAE,KAAK,UAAUZ,CAAC,CAAC,QAAQ,CAAC,IAAIY,EAAE,KAAK,IAAI,KAAK,MAAM,OAAOA,EAAE,IAAIA,EAAE,KAAK,gBAAgBA,GAAGA,CAAC,CAAC,QAAQ,CAAC,OAAO,KAAK,OAAO,IAAI,KAAK,QAAQ,CAAC,SAAS,CAAC,OAAO,KAAK,OAAO,IAAI,CAAC,CAAC,KAAKA,EAAE,CAAC,GAAG,KAAK,OAAO,EAAE,MAAM,IAAI,WAAW,sBAAsB,EAAE,KAAK,IAAI,KAAK,IAAIA,CAAC,EAAE,KAAK,IAAI,KAAK,KAAK,KAAK,IAAI,CAAC,CAAC,CAAC,QAAQA,EAAE,CAAC,QAAQZ,KAAKY,EAAE,KAAK,KAAKZ,CAAC,CAAC,CAAC,KAAK,CAAC,GAAG,KAAK,QAAQ,EAAE,MAAM,IAAI,WAAW,uBAAuB,EAAE,KAAK,IAAI,KAAK,KAAK,KAAK,IAAI,CAAC,EAAE,IAAIY,EAAE,KAAK,IAAI,KAAK,GAAG,EAAE,OAAO,KAAK,IAAI,KAAK,IAAI,MAAM,EAAEA,CAAC,CAAC,QAAQA,EAAE,CAAC,GAAG,KAAK,OAAO,EAAE,MAAM,IAAI,WAAW,sBAAsB,EAAE,KAAK,MAAM,KAAK,KAAK,KAAK,MAAM,CAAC,EAAE,KAAK,IAAI,KAAK,MAAMA,CAAC,CAAC,CAAC,OAAO,CAAC,GAAG,KAAK,QAAQ,EAAE,MAAM,IAAI,WAAW,uBAAuB,EAAE,IAAIA,EAAE,KAAK,IAAI,KAAK,KAAK,EAAE,OAAO,KAAK,IAAI,KAAK,MAAM,MAAM,EAAE,KAAK,MAAM,KAAK,KAAK,KAAK,MAAM,CAAC,EAAEA,CAAC,CAAC,cAAcA,EAAE,CAAC,GAAG,KAAK,QAAQ,EAAE,MAAM,IAAI,WAAW,uBAAuB,EAAE,IAAIZ,EAAE,KAAK,KAAK,KAAK,MAAMY,CAAC,EAAE,EAAE,KAAK,IAAIZ,CAAC,EAAE,OAAO,KAAK,IAAIA,EAAE,KAAK,IAAI,CAAC,EAAE,CAAC,CAAC,EAAM0uE,GAAG,cAAcD,EAAE,CAAC,aAAa,CAAC,MAAMC,GAAG,gBAAgB,CAAC,CAAC,QAAQ,CAAC,MAAM,EAAE,CAAC,KAAK9tE,EAAE,CAAC,MAAM,OAAO,GAAG,KAAK,OAAO,EAAE,MAAM,KAAKA,CAAC,CAAC,CAAC,QAAQA,EAAE,CAAC,MAAM,OAAO,GAAG,KAAK,OAAO,EAAE,MAAM,QAAQA,CAAC,CAAC,CAAC,QAAQ,CAAC,IAAIA,EAAE,KAAK,SAAS,EAAEZ,EAAE,IAAI,MAAMY,CAAC,EAAE,EAAE,KAAK,OAAO,EAAE,QAAQP,EAAE,EAAEA,EAAE,EAAEA,IAAIL,EAAEK,GAAG,KAAK,IAAI,KAAK,KAAK,KAAK,MAAMA,CAAC,CAAC,EAAE,KAAK,KAAKL,EAAE,KAAK,SAASY,EAAE,KAAK,gBAAgB,EAAE,KAAK,SAAS,KAAK,MAAM,EAAE,KAAK,IAAI,CAAC,CAAC,EAAE8tE,GAAG,iBAAiB,GAAG,SAASC,GAAG7uE,EAAE,CAAC,OAAO,IAAI8uE,GAAG9uE,CAAC,CAAC,CAAC,SAAS+uE,GAAG/uE,EAAE,CAAC,OAAO,IAAIgvE,GAAGhvE,CAAC,CAAC,CAAC,SAASivE,GAAGjvE,EAAE,EAAE,CAAC,OAAO,IAAIkvE,GAAGlvE,EAAE,CAAC,CAAC,CAAC,SAASmvE,GAAGnvE,EAAE,EAAEovE,GAAG,KAAK,CAAC,OAAO,IAAIC,GAAGrvE,EAAE,CAAC,CAAC,CAAC,IAAIsvE,GAAG,KAAK,CAAC,MAAM,SAAS,CAAC,IAAIxuE,EAAE,CAAC,EAAEZ,EAAE,MAAM,KAAK,KAAK,EAAE,KAAK,CAACA,EAAE,MAAMY,EAAE,KAAKZ,EAAE,KAAK,EAAEA,EAAE,MAAM,KAAK,KAAK,EAAE,OAAOY,CAAC,CAAC,MAAM,gBAAgB,CAAC,IAAIA,EAAE,KAAK,SAAS,GAAG,EAAEZ,EAAE,CAAC,EAAE,EAAE,MAAMY,EAAE,KAAK,EAAE,KAAK,CAAC,EAAE,MAAMZ,EAAE,KAAK,EAAE,KAAK,EAAE,EAAE,MAAMY,EAAE,KAAK,EAAE,OAAOZ,CAAC,CAAC,MAAM,cAAc,CAAC,IAAIY,EAAE,MAAM,KAAK,KAAK,EAAE,KAAK,CAACA,EAAE,MAAMA,EAAE,MAAM,KAAK,KAAK,CAAC,CAAC,MAAM,aAAaA,EAAE,CAAC,IAAIZ,EAAE,MAAM,KAAK,KAAK,EAAE,EAAEY,EAAEZ,EAAE,KAAK,EAAE,KAAK,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,KAAK,KAAK,EAAE,EAAEY,EAAEZ,EAAE,KAAK,CAAC,CAAC,aAAaY,EAAE,CAAC,OAAO,IAAIyuE,GAAG,KAAKzuE,CAAC,CAAC,CAAC,OAAOA,EAAE,CAAC,OAAO,IAAI0uE,GAAG,KAAK1uE,CAAC,CAAC,CAAC,IAAIA,EAAE,CAAC,OAAO,IAAI2uE,GAAG,KAAK3uE,CAAC,CAAC,CAAC,SAASA,EAAE,CAAC,OAAO,IAAI4uE,GAAG,KAAK5uE,CAAC,CAAC,CAAC,eAAeA,EAAE,CAAC,OAAO,IAAI4uE,GAAG,KAAK5uE,CAAC,EAAE,OAAO,CAAC,CAAC,QAAQA,EAAE,CAAC,OAAO,IAAI6uE,GAAG,KAAK7uE,CAAC,CAAC,CAAC,MAAM,aAAaA,EAAE,CAAC,OAAO,KAAK,IAAIA,CAAC,EAAE,aAAa,CAAC,CAAC,MAAM,cAAcA,EAAE,CAAC,OAAO,KAAK,eAAeA,CAAC,EAAE,aAAaZ,GAAGA,IAAI,EAAE,CAAC,CAAC,cAAcY,EAAEZ,EAAE,GAAG,CAAC,OAAO,IAAI0vE,GAAG,KAAK9uE,EAAEZ,CAAC,CAAC,CAAC,iBAAiBY,EAAEZ,EAAE,GAAG,EAAEkuE,GAAG,CAAC,OAAO,KAAK,cAActtE,EAAEZ,CAAC,EAAE,IAAI6B,GAAGosE,GAAGpsE,EAAE,CAAC,CAAC,CAAC,CAAC,YAAYjB,EAAEZ,EAAE,CAAC,OAAO,IAAIgvE,GAAGL,GAAG,CAAC,KAAK/tE,CAAC,CAAC,EAAEZ,CAAC,CAAC,CAAC,KAAKY,EAAE,CAAC,OAAOA,EAAE,GAAGA,GAAG,KAAK,KAAK,IAAI+uE,GAAG,KAAK/uE,CAAC,CAAC,CAAC,KAAKA,EAAE,CAAC,OAAOA,EAAE,GAAGA,GAAG,KAAK,KAAK,IAAIgvE,GAAG,KAAKhvE,CAAC,CAAC,CAAC,SAASA,EAAE,CAAC,OAAO,IAAIivE,GAAG,KAAKjvE,CAAC,CAAC,CAAC,QAAQA,EAAEZ,EAAE,CAAC,OAAO,IAAI8vE,GAAG,KAAKlvE,EAAEZ,CAAC,CAAC,CAAC,QAAQ,CAAC,OAAO,IAAI+vE,GAAG,IAAI,CAAC,CAAC,EAAEnB,GAAG,cAAcQ,EAAE,CAAC,YAAYxuE,EAAE,CAAC,MAAM,EAAE,KAAK,MAAMA,EAAE,KAAK,KAAK,CAAC,CAAC,SAAS,CAAC,MAAM,YAAY,KAAK,MAAM,cAAc,CAAC,MAAM,MAAM,CAAC,GAAG,KAAK,MAAM,KAAK,MAAM,OAAO,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,IAAIA,EAAE,KAAK,MAAM,KAAK,MAAM,OAAO,KAAK,OAAO,CAAC,MAAM2tE,GAAG3tE,CAAC,EAAE,KAAK,EAAE,CAAC,CAAC,EAAEkuE,GAAG,cAAcM,EAAE,CAAC,YAAYxuE,EAAE,CAAC,MAAM,EAAE,KAAK,OAAOA,CAAC,CAAC,SAAS,CAAC,MAAM,eAAe,CAAC,MAAM,MAAM,CAAC,GAAG,CAAC,OAAO,KAAK,OAAO,CAAC,OAAOA,EAAN,CAAS,MAAMA,EAAE,QAAQ,mDAAmDA,EAAE,UAAUA,CAAC,CAAC,CAAC,EAAEmvE,GAAG,cAAcX,EAAE,CAAC,YAAYxuE,EAAE,CAAC,MAAM,EAAE,KAAK,SAASA,EAAE,KAAK,SAAS,QAAQ,QAAQ,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,aAAa,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,KAAK,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,CAAC,MAAM,YAAY,CAAC,OAAO,KAAK,SAAS,KAAK,CAAC,CAAC,EAAEgvE,GAAG,cAAcR,EAAE,CAAC,YAAYxuE,EAAEZ,EAAE,CAAC,MAAM,EAAE,KAAK,SAASY,EAAE,KAAK,SAASZ,EAAE,KAAK,MAAM,EAAE,KAAK,SAAS,QAAQ,QAAQ,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,WAAW,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,KAAK,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,CAAC,MAAM,YAAY,CAAC,KAAK,KAAK,QAAQ,KAAK,UAAU,CAAC,IAAIY,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,GAAGA,EAAE,KAAK,OAAOA,EAAE4yB,GAAG5yB,EAAE,KAAK,CAAC,CAAC,OAAO,KAAK,SAAS,KAAK,CAAC,CAAC,EAAE+uE,GAAG,cAAcP,EAAE,CAAC,YAAYxuE,EAAEZ,EAAE,CAAC,MAAM,EAAE,KAAK,SAASY,EAAE,KAAK,SAASZ,EAAE,KAAK,MAAM,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,WAAW,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,KAAK,SAAS,KAAK,CAAC,CAAC,EAAE0vE,GAAG,cAAcN,EAAE,CAAC,YAAYxuE,EAAEZ,EAAE,EAAE,GAAG,CAAC,MAAM,EAAE,KAAK,SAASY,EAAE,KAAK,UAAUZ,EAAE,KAAK,qBAAqB,EAAE,KAAK,SAAS,QAAQ,QAAQ,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,oBAAoB,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,KAAK,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,CAAC,MAAM,YAAY,CAAC,IAAIY,EAAE,CAAC,EAAE,KAAKA,EAAE,OAAO,KAAK,WAAW,CAAC,IAAIZ,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,GAAGA,EAAE,KAAK,OAAO,KAAK,sBAAsBY,EAAE,OAAO,EAAE,CAAC,MAAMA,EAAE,KAAK,EAAE,EAAE,CAAC,MAAM,KAAK,KAAK,EAAE,EAAEA,EAAE,KAAKZ,EAAE,KAAK,CAAC,CAAC,MAAM,CAAC,MAAMY,EAAE,KAAK,EAAE,CAAC,CAAC,EAAE0uE,GAAG,cAAcF,EAAE,CAAC,YAAYxuE,EAAEZ,EAAE,CAAC,MAAM,EAAE,KAAK,SAASY,EAAE,KAAK,UAAUZ,EAAE,KAAK,SAAS,QAAQ,QAAQ,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,aAAa,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,KAAK,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,CAAC,MAAM,YAAY,CAAC,OAAO,CAAC,IAAIY,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,GAAGA,EAAE,MAAM,KAAK,UAAUA,EAAE,KAAK,EAAE,OAAOA,EAAE4yB,GAAG5yB,EAAE,KAAK,CAAC,CAAC,CAAC,EAAE2uE,GAAG,cAAcH,EAAE,CAAC,YAAYxuE,EAAEZ,EAAE,CAAC,MAAM,EAAE,KAAK,SAASY,EAAE,KAAK,UAAUZ,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,UAAU,CAAC,MAAM,MAAM,CAAC,IAAIY,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,GAAGA,EAAE,KAAK,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,IAAIZ,EAAE8pB,GAAG,sBAAsBlpB,EAAE,KAAK,EAAE,EAAE,KAAK,UAAUA,EAAE,KAAK,EAAEP,EAAEypB,GAAG,sBAAsB,CAAC,EAAE,QAAQjoB,KAAK7B,EAAE8pB,GAAG,eAAejoB,EAAExB,CAAC,GAAGwB,EAAE,QAAQ,EAAE,MAAM,CAAC,MAAM,EAAE,KAAK,EAAE,CAAC,CAAC,EAAEwtE,GAAG,cAAcD,EAAE,CAAC,YAAYxuE,EAAEZ,EAAE,CAAC,MAAM,EAAE,KAAK,SAASY,EAAE,KAAK,QAAQZ,EAAE,KAAK,MAAM,EAAE,KAAK,SAAS,QAAQ,QAAQ,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,mBAAmB,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,KAAK,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,CAAC,MAAM,YAAY,CAAC,OAAO,GAAG,CAAC,OAAO,MAAM,KAAK,SAAS,KAAK,CAAC,OAAOY,EAAN,CAAS,GAAG,CAAC,KAAK,QAAQA,CAAC,EAAE,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,EAAE4uE,GAAG,cAAcJ,EAAE,CAAC,YAAYxuE,EAAEZ,EAAE,CAAC,MAAM,EAAE,KAAK,SAASY,EAAE,KAAK,UAAUZ,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,eAAe,CAAC,MAAM,MAAM,CAAC,IAAIY,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,GAAGA,EAAE,KAAK,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,IAAIZ,EAAE8pB,GAAG,sBAAsBlpB,EAAE,KAAK,EAAE,EAAE,MAAM,KAAK,UAAUA,EAAE,KAAK,EAAEP,EAAEypB,GAAG,sBAAsB,CAAC,EAAE,QAAQjoB,KAAK7B,EAAE8pB,GAAG,eAAejoB,EAAExB,CAAC,GAAGwB,EAAE,QAAQ,EAAE,MAAM,CAAC,MAAM,EAAE,KAAK,EAAE,CAAC,CAAC,EAAEmuE,GAAG,cAAcZ,EAAE,CAAC,aAAa,CAAC,MAAM,EAAE,KAAK,YAAY,IAAIV,GAAG,KAAK,SAAS,QAAQ,QAAQ,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,KAAK,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,CAAC,MAAM,YAAY,CAAC,KAAK,KAAK,YAAY,OAAO,IAAI,GAAG,GAAG,CAAC,MAAM,KAAK,KAAK,EAAE,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,MAAM,CAAC,MAAM,KAAK,YAAY,MAAM,EAAE,KAAK,EAAE,CAAC,CAAC,EAAEe,GAAG,cAAcO,EAAE,CAAC,YAAYpvE,EAAEZ,EAAE,CAAC,MAAM,EAAE,KAAK,SAASY,EAAE,KAAK,UAAUZ,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,cAAc,CAAC,MAAM,MAAM,CAAC,IAAIY,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,GAAGA,EAAE,KAAK,MAAM,GAAG,IAAIZ,EAAE8pB,GAAG,sBAAsBlpB,EAAE,KAAK,EAAE,EAAE,KAAK,UAAUA,EAAE,KAAK,EAAEP,EAAEypB,GAAG,sBAAsB,CAAC,EAAE,KAAK,YAAY,QAAQ,CAAC,EAAE,QAAQjoB,KAAK7B,EAAE8pB,GAAG,eAAejoB,EAAExB,CAAC,GAAGwB,EAAE,QAAQ,EAAE,MAAM,EAAE,CAAC,EAAEmtE,GAAG,cAAcI,EAAE,CAAC,YAAYxuE,EAAEZ,EAAE,CAAC,MAAM,EAAE,KAAK,iBAAiBA,EAAE,KAAK,SAAS,KAAK,KAAK,SAAS,KAAK,KAAK,cAAcY,CAAC,CAAC,SAAS,CAAC,MAAM,wDAAwD,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,cAAc,KAAK,QAAQ,EAAE,KAAK,QAAQ,CAAC,MAAM,cAAcA,EAAE,CAAC,GAAG,MAAMA,EAAE,KAAK,UAAU,KAAK,CAAC,IAAI,EAAE,MAAM,KAAK,cAAc,KAAK,EAAE,GAAG,EAAE,KAAK,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,KAAK,SAAS,EAAE,MAAM,KAAK,kBAAkB,OAAO,KAAK,SAAS,KAAK,SAAS,aAAa,KAAK,gBAAgB,EAAE,CAAC,IAAIZ,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,OAAOA,EAAE,MAAM,KAAK,SAAS,KAAK,KAAK,cAAcY,CAAC,GAAGZ,CAAC,CAAC,EAAEkvE,IAAI,SAASpvE,EAAE,CAACA,EAAEA,EAAE,KAAK,GAAG,OAAOA,EAAEA,EAAE,SAAS,GAAG,WAAWA,EAAEA,EAAE,QAAQ,GAAG,SAAS,GAAGovE,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,cAAcC,EAAE,CAAC,YAAYxuE,EAAEZ,EAAEkvE,GAAG,KAAK,CAAC,MAAM,EAAE,KAAK,UAAUtuE,EAAE,KAAK,aAAaZ,EAAE,KAAK,MAAM,EAAE,KAAK,eAAe,IAAI,CAAC,SAAS,CAAC,MAAM,kDAAkD,CAAC,MAAM,UAAUY,EAAE,CAAC,MAAMA,EAAE,IAAIZ,EAAE,EAAE,EAAE,EAAE,SAASK,EAAEyB,EAAE,CAAC,OAAOA,aAAastE,GAAG,CAAC,MAAMttE,EAAE,KAAK,EAAE,KAAKE,IAAIhC,IAAIgC,EAAE,MAAM,IAAIA,EAAE,MAAM,EAAE,QAAQ,EAAE,EAAE,CAAC,MAAM,KAAK,QAAQ,EAAE,CAAC,CAAC,IAAIH,EAAE,MAAMusE,GAAG,KAAK,UAAU/tE,CAAC,EAAE,GAAGL,IAAI,EAAE,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,GAAG,EAAE,EAAE,OAAO,KAAK,aAAa,CAAC,KAAKkvE,GAAG,KAAK,MAAM,IAAI,MAAM,qEAAqE,KAAK,QAAQ,EAAE,KAAKA,GAAG,SAAS,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,KAAKA,GAAG,QAAQ,QAAQ,CAAC,OAAO,KAAK,QAAQ,CAAC,MAAMrtE,EAAE,KAAK,EAAE,CAAC,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,eAAe,KAAK,UAAU,KAAK,cAAc,EAAE,KAAK,cAAc,CAAC,EAAEguE,GAAG,cAAcT,EAAE,CAAC,YAAYxuE,EAAEZ,EAAE,CAAC,MAAM,EAAE,KAAK,SAASY,EAAE,KAAK,WAAWZ,EAAE,KAAK,OAAO,IAAIyuE,GAAGzuE,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,eAAe,CAAC,QAAQ,CAAC,KAAK,CAAC,KAAK,OAAO,OAAO,GAAG,CAAC,IAAIY,EAAE,KAAK,SAAS,KAAK,EAAE,KAAK,OAAO,KAAKA,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,OAAO,KAAK,OAAO,EAAE,KAAK,OAAO,MAAM,CAAC,CAAC,EAAEkvE,GAAG,cAAcD,EAAE,CAAC,YAAYjvE,EAAEZ,EAAE,EAAE,CAAC,MAAMY,EAAEZ,CAAC,EAAE,KAAK,SAASY,EAAE,KAAK,WAAWZ,EAAE,KAAK,kBAAkB,GAAG,KAAK,OAAO6tE,GAAG,KAAK,GAAGjnD,EAAE,IAAI,EAAE,SAAS,CAAC,EAAE,KAAK,SAAS,QAAQ,QAAQ,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,KAAK,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,CAAC,UAAUhmB,EAAE,CAAC,OAAO,KAAK,MAAM,KAAK,OAAO,EAAEA,CAAC,CAAC,CAAC,aAAa,CAAC,OAAO,KAAK,UAAU,KAAK,OAAO,OAAO,CAAC,CAAC,CAAC,MAAM,YAAY,CAAC,IAAI,KAAK,mBAAmB,KAAK,OAAO,EAAE,CAAC,KAAK,OAAO,QAAQ,GAAG,CAAC,IAAIA,EAAE,KAAK,YAAY,EAAEZ,EAAE,MAAM,KAAK,OAAO,cAAcY,CAAC,EAAE,GAAGZ,EAAE,KAAK,KAAK,kBAAkB,OAAQ,QAAO,KAAK,OAAO,EAAEA,CAAC,CAAC,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,EAAMgtE,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,KAAK,IAAI,CAAC,MAAMpsE,EAAEZ,EAAE,GAAG,CAAC,IAAI,EAAE,KAAK4mB,EAAE,OAAOhmB,EAAE,EAAE,IAAI;AAAA,QAClqvDA,GAAG,EAAE,IAAIP,EAAE,OAAO,KAAK,OAAO,EAAE,GAAG,KAAK,MAAM,KAAKA,EAAE,KAAK,KAAKL,EAAEK,EAAE,KAAK,KAAK,KAAK,KAAKO,CAAC,EAAEP,EAAE,KAAK,MAAM,KAAK,KAAKO,CAAC,EAAEqvE,GAAG,UAAU,MAAM,EAAE,SAAS,GAAG,iBAAiBrvE,EAAEZ,EAAEkwE,EAAE,EAAE7vE,CAAC,CAAC,CAAC,YAAYO,EAAE,CAAC,IAAIZ,EAAE,KAAK,EAAE,OAAO,KAAK,OAAO,EAAE,GAAGY,EAAE,OAAO,EAAE,EAAE,EAAE,EAAE,EAAE,KAAK,MAAM,MAAMA,EAAE,MAAM,KAAK,EAAE,KAAK,KAAKA,EAAE,KAAK,EAAE,KAAKqvE,GAAG,UAAU,MAAMjwE,EAAE,SAAS,GAAG,YAAY,MAAMY,EAAE,SAAS,CAAC,EAAE,CAAC,CAAC,CAAC,OAAOA,EAAE,CAAC,IAAIZ,EAAE,KAAK,EAAE,OAAO,KAAK,OAAO,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,KAAKiwE,GAAG,UAAU,MAAMjwE,EAAE,SAAS,GAAG,OAAOK,GAAGkzB,EAAE,IAAI3yB,EAAEP,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,MAAM,aAAaO,EAAE,CAAC,OAAO,MAAM,KAAK,SAAS,GAAG,aAAaA,CAAC,CAAC,CAAC,IAAIA,EAAE,CAAC,IAAIZ,EAAE,KAAK,OAAOiwE,GAAG,UAAU,MAAMjwE,EAAE,SAAS,GAAG,IAAI,GAAGuzB,EAAE,IAAI3yB,EAAE,CAAC,CAAC,CAAC,EAAE,KAAK,IAAI,CAAC,CAAC,SAASA,EAAE,CAAC,IAAIZ,EAAE,KAAK,OAAOiwE,GAAG,UAAU,MAAMjwE,EAAE,SAAS,GAAG,SAASY,CAAC,EAAE,KAAK,IAAI,CAAC,CAAC,SAASA,EAAE,CAAC,GAAGA,GAAG,KAAK,MAAM,IAAI,WAAW,2DAA2D,EAAE,IAAIZ,EAAE,KAAK,OAAOiwE,GAAG,UAAU,MAAMjwE,EAAE,SAAS,GAAG,SAASY,CAAC,EAAE,KAAK,IAAI,CAAC,CAAC,OAAOA,EAAE,CAAC,IAAIZ,EAAE,KAAK,EAAE,OAAO,KAAK,MAAM,MAAMY,EAAE,EAAE,EAAE,KAAK,KAAKA,EAAEA,IAAI,EAAE,EAAE,EAAE,KAAK,MAAM,OAAOA,IAAI,QAAQA,EAAE,GAAG,EAAE,EAAE,EAAE,EAAE,KAAKqvE,GAAG,SAAS,CAAC,IAAI5vE,EAAEwuE,GAAG,UAAU,CAAC,MAAM,MAAM7uE,EAAE,SAAS,EAAE,KAAK,EAAE,EAAE,EAAE,OAAO+uE,GAAG1uE,EAAE,KAAKO,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,KAAKA,EAAE,CAAC,IAAIZ,EAAE,KAAK,EAAE,OAAO,KAAK,MAAM,MAAMY,GAAG,GAAG,KAAK,MAAMA,EAAE,EAAE,KAAK,KAAKA,EAAE,KAAK,MAAM,OAAO,KAAK,KAAKA,GAAGA,IAAI,QAAQA,EAAE,GAAG,EAAE,EAAE,EAAE,KAAKqvE,GAAG,UAAU,MAAMjwE,EAAE,SAAS,GAAG,KAAKY,CAAC,EAAE,CAAC,CAAC,CAAC,QAAQA,EAAEZ,EAAE,EAAE,GAAG,CAAC,GAAGY,GAAG,MAAMA,EAAE,EAAE,MAAM,KAAK,MAAM,KAAK,IAAI,WAAW,0DAA0D,EAAE,IAAI,WAAW,mNAAmN,KAAK,gBAAgB,EAAE,IAAIP,EAAE,KAAKwB,EAAE+rE,GAAG,KAAK5tE,GAAG4mB,EAAE,IAAI,EAAE,SAAS,CAAC,EAAE,OAAOqpD,GAAG,SAAS,CAAC,IAAInuE,EAAED,EAAE,MAAM,EAAE,OAAO,IAAIC,GAAGD,EAAE,MAAM,IAAI,MAAMxB,EAAE,SAAS,GAAG,QAAQO,EAAEkB,EAAE,SAAS,CAAC,CAAC,EAAE,KAAK,IAAI,CAAC,CAAC,KAAKlB,EAAE,CAAC,IAAIZ,EAAE,KAAK,EAAE,OAAO,KAAK,MAAM,MAAM,KAAK,KAAKY,EAAE,EAAEA,EAAE,KAAK,MAAM,MAAM,KAAK,MAAMA,EAAE,EAAE,KAAK,KAAK,EAAE,KAAKqvE,GAAG,UAAU,MAAMjwE,EAAE,SAAS,GAAG,KAAKY,CAAC,EAAE,CAAC,CAAC,CAAC,MAAM,SAAS,CAAC,GAAG,KAAK,OAAO,EAAE,EAAE,MAAM,IAAI,MAAM,gDAAgD,EAAE,OAAO,MAAM,KAAK,SAAS,GAAG,QAAQ,CAAC,CAAC,MAAM,gBAAgB,CAAC,GAAG,KAAK,OAAO,EAAE,EAAE,MAAM,IAAI,MAAM,gDAAgD,EAAE,OAAO,MAAM,KAAK,SAAS,GAAG,eAAe,CAAC,CAAC,EAAEosE,GAAG,gBAAgB,IAAI,SAASiD,GAAGnwE,EAAE,EAAE,KAAK,CAAC,OAAO,IAAI,cAAcktE,EAAE,CAAC,aAAa,CAAC,MAAM,GAAG,SAAS,EAAE,KAAK,KAAK,CAAC,CAAC,MAAM,UAAU,CAAC,OAAOltE,EAAE,CAAC,CAAC,CAAC,CAAC,SAASstE,GAAGttE,EAAE,CAAC,OAAOmwE,GAAG,SAAStB,GAAG7uE,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,SAAS6tE,GAAG7tE,EAAE,CAAC,GAAG,CAACkuE,GAAGluE,CAAC,EAAE,MAAM,IAAI,MAAM,mDAAmD,EAAE,IAAI,EAAE,GAAG,MAAM,QAAQA,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,EAAE,GAAG,KAAKF,EAAEE,GAAG,KAAK,KAAK,IAAI,EAAEF,EAAEE,GAAG,IAAI,UAAUF,aAAa,OAAO,QAAQE,KAAKF,EAAE,EAAE,GAAG,KAAKA,EAAEE,GAAG,KAAK,KAAK,IAAI,EAAEF,EAAEE,GAAG,IAAI,EAAE,OAAOiwE,GAAG,SAAS,CAAC,IAAIjwE,EAAE,MAAMouE,GAAGtuE,EAAEM,GAAG,CAAC,GAAGA,aAAa4sE,GAAG,MAAM,CAAC,MAAM5sE,EAAE,SAAS,EAAE,QAAQ,EAAE,EAAE,GAAG4tE,GAAG5tE,CAAC,EAAE,MAAM,CAAC,MAAM,KAAK,QAAQ,EAAE,EAAE,MAAM,IAAI,MAAM,2EAA2E,CAAC,CAAC,EAAE,OAAO6uE,GAAGjvE,EAAEkvE,GAAG,QAAQ,CAAC,EAAE,CAAC,CAAC,CAAC,SAASgB,GAAGpwE,EAAE,CAAC,GAAGA,IAAI,KAAK,OAAO,KAAK,IAAI,EAAEA,EAAE,GAAG,OAAOuuE,GAAG,CAAC,EAAE,CAAC,MAAM8B,GAAGrwE,CAAC,EAAE,QAAQ,EAAE,EAAE,CAAC,MAAM,KAAK,QAAQ,EAAE,CAAC,CAAC,SAASqwE,GAAGrwE,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,sCAAsC,EAAE,OAAOA,EAAE,aAAa6pB,GAAG+lB,GAAG5vC,CAAC,EAAEusB,GAAGvsB,CAAC,CAAC,CAAC,IAAIotE,GAAG,cAAcF,EAAE,CAAC,YAAYpsE,EAAE,CAAC,MAAM,EAAE,KAAK,MAAMA,CAAC,CAAC,MAAM,UAAU,CAAC,OAAO,MAAM,KAAK,MAAM,SAAS,GAAG,WAAW,EAAE,MAAM;AAAA,CACr1G,EAAE,IAAIP,IAAIA,EAAE,SAAS,IAAI,IAAIA,EAAEA,EAAE,MAAM,EAAE,EAAE,GAAGA,EAAE,CAAC,CAAC,EAAM+vE,GAAG,IAAIC,GAAG,OAAO,KAAK,EAAEC,GAAG,OAAO,OAAO,EAAEC,GAAG,OAAO,OAAO,EAAEC,GAAG,OAAO,iBAAiB,EAAEC,GAAG,OAAO,cAAc,EAAE1D,GAAG,cAAcC,EAAE,CAAC,YAAYpsE,EAAEZ,EAAE,CAAC,MAAM,EAAE,KAAK,MAAMY,EAAE,KAAK,UAAU,GAAG,KAAK,gBAAgB,KAAK,KAAK,qBAAqB,GAAG,KAAK,cAAc,KAAK,KAAK,sBAAsB,GAAG,KAAK,UAAU,IAAI,KAAK,gBAAgB,GAAG,KAAK,KAAK,IAAIssE,GAAGtsE,CAAC,EAAEZ,IAAIA,EAAE,CAAC,GAAG,KAAK,UAAUA,EAAE,YAAY,GAAG,KAAK,gBAAgBA,EAAE,YAAY,KAAK,cAAcA,EAAE,cAAc,KAAK,sBAAsBA,EAAE,sBAAsBA,EAAE,iBAAiB4mB,EAAE,OAAO5mB,EAAE,WAAW,KAAK,IAAI,gEAAgE,EAAE,KAAK,gBAAgB,GAAG,KAAK,UAAU,KAAK,KAAK,UAAUA,EAAE,UAAUA,EAAE,UAAU,GAAG,CAAC,MAAM,aAAa,CAAC,OAAO,KAAK,sBAAsB,MAAM,KAAK,eAAe,EAAE,KAAK,sBAAsB,OAAO,KAAK,KAAK,aAAa,EAAE,KAAK,eAAe,CAAC,MAAM,gBAAgB,CAAC,IAAIY,EAAE,MAAM,KAAK,oBAAoB,EAAE,GAAG,CAAC,KAAK,iBAAiB,CAACA,EAAE,MAAM,IAAI,MAAM,2DAA2D,EAAE,KAAK,iBAAiBA,GAAGgmB,EAAE,OAAOhmB,EAAE,SAAS,KAAK,gBAAgB,OAAO,IAAI,uCAAuC,KAAK,gBAAgB,OAAO,SAAS,EAAE,kEAAkEA,EAAE,OAAO,SAAS,EAAE,IAAI,EAAE,KAAK,kBAAkB,KAAK,gBAAgBA,GAAG,IAAIZ,EAAE,KAAK,gBAAgB,OAAO,CAACK,EAAEwB,KAAKxB,EAAEwB,GAAGxB,EAAEwB,GAAG,GAAG,EAAExB,GAAG,CAAC,CAAC,EAAE,EAAE,OAAO,KAAKL,CAAC,EAAE,OAAOK,GAAGL,EAAEK,GAAG,CAAC,EAAE,GAAGumB,EAAE,OAAO,EAAE,SAAS,EAAE,IAAI,iCAAiC,EAAE,SAAS,CAAC,EAAE,KAAK,eAAe,QAAQvmB,KAAK,OAAO,KAAK,KAAK,aAAa,EAAE,GAAG,KAAK,gBAAgB,QAAQA,CAAC,IAAI,GAAG,MAAM,IAAI,MAAM,YAAYA,EAAE,uEAAuE,KAAK,gBAAgB,SAAS,EAAE,IAAI,EAAE,KAAK,qBAAqB,EAAE,CAAC,MAAM,qBAAqB,CAAC,GAAG,KAAK,UAAU,CAAC,IAAI,EAAE,MAAM,MAAM,KAAK,KAAK,SAAS,GAAG,KAAK,EAAE,GAAG,EAAE,KAAK,MAAM,IAAI,MAAM,oCAAoC,EAAE,IAAID,EAAE,EAAE,MAAM,OAAO,KAAK,SAASA,EAAE,EAAE,CAAC,KAAM,QAAO,IAAI,CAAC,MAAM,UAAU,CAAC,KAAK,sBAAsB,MAAM,KAAK,eAAe,EAAE,IAAIQ,EAAE,MAAM,KAAK,KAAK,SAAS,EAAE,OAAO,KAAK,YAAYA,EAAEA,EAAE,KAAK,CAAC,GAAGA,EAAE,IAAIZ,GAAG,KAAK,gBAAgBA,CAAC,CAAC,CAAC,CAAC,gBAAgBY,EAAE,CAAC,IAAIZ,EAAE,KAAK,SAASY,CAAC,EAAE,EAAE,CAAC,EAAEP,EAAE,CAAC,EAAE,QAAQwB,EAAE,EAAEA,EAAE,KAAK,gBAAgB,OAAOA,IAAI,CAAC,IAAIC,EAAE,KAAK,gBAAgBD,GAAGE,EAAE,KAAK,cAAc,KAAK,cAAcD,GAAG,KAAK,GAAG,EAAE,KAAK,uBAAuB,CAACC,GAAG,CAAC,IAAIC,EAAEhC,EAAE6B,GAAG,EAAE,KAAK,GAAGG,IAAI,GAAG,GAAGD,GAAGA,EAAE,UAAU,OAAO,EAAEA,EAAE,YAAY,CAAC,GAAGA,IAAIA,EAAE,UAAUA,EAAE,SAAS,MAAM,IAAI,MAAM,mBAAmBD,4BAA4BlB,GAAG,EAAE,EAAE,MAAM,KAAK,CAAC,IAAI8B,EAAE,OAAOV,CAAC,EAAE,GAAG,MAAMU,CAAC,EAAEX,GAAGA,EAAE,QAAQ,OAAO,EAAE,KAAK,WAAWC,CAAC,EAAE,EAAEA,UAAU,CAACD,GAAG,CAACA,EAAE,MAAM,EAAEW,MAAO,QAAOX,EAAE,MAAM,CAAC,IAAI,UAAU,EAAEW,EAAE,MAAM,IAAI,QAAQ,EAAE,KAAK,MAAMA,CAAC,EAAE,MAAM,IAAI,OAAO,EAAE,KAAK,WAAWV,CAAC,EAAE,MAAM,QAAQ,EAAEU,CAAC,CAAC,CAACX,GAAGA,EAAE,QAAQ1B,EAAEyB,GAAG,EAAE,EAAEA,GAAG,CAAC,CAAC,CAAC,OAAO,OAAO,KAAKzB,CAAC,EAAE,SAAS,EAAE,EAAE,CAAC,GAAG,EAAE,GAAGA,CAAC,CAAC,CAAC,WAAWO,EAAE,CAAC,OAAOA,IAAI,KAAKA,EAAE,YAAY,IAAI,OAAO,EAAE,CAAC,CAAC,SAASA,EAAEZ,EAAE,GAAG,CAAC,IAAI,EAAE,CAAC,EAAEK,EAAE,EAAEwB,EAAEjB,EAAE,OAAOkB,EAAEuuE,GAAG,QAAQtuE,EAAE,EAAEA,EAAEF,EAAEE,IAAI,OAAOD,EAAE,CAAC,KAAKuuE,GAAG,OAAOzvE,EAAE,OAAOmB,CAAC,EAAE,CAAC,KAAKquE,GAAG/vE,EAAE0B,EAAE,EAAED,EAAEyuE,GAAG,MAAM,KAAK,KAAK,UAAU,GAAGlwE,EAAE0B,EAAE,EAAE,KAAK,YAAY,KAAK,KAAK,gBAAgB,MAAM,EAAE,KAAK,EAAE,EAAED,EAAEuuE,GAAG,MAAM,QAAQvuE,EAAEwuE,GAAGjwE,EAAE0B,EAAE,KAAK,CAAC,MAAM,KAAKuuE,GAAG,OAAO1vE,EAAE,OAAOmB,CAAC,EAAE,CAAC,KAAK,KAAK,UAAU,EAAE,KAAKnB,EAAE,UAAUP,EAAE0B,CAAC,CAAC,EAAED,EAAEuuE,GAAGhwE,EAAE0B,EAAE,EAAE,MAAM,QAAQ,CAAC,MAAM,KAAKwuE,GAAG,OAAO3vE,EAAE,OAAOmB,CAAC,EAAE,CAAC,KAAKquE,GAAGtuE,EAAE0uE,GAAG,MAAM,QAAQ,CAAC,MAAM,KAAKA,GAAG,OAAO5vE,EAAE,OAAOmB,CAAC,EAAE,CAAC,KAAK,KAAK,UAAU,EAAE,KAAKnB,EAAE,UAAUP,EAAE0B,EAAE,CAAC,CAAC,EAAED,EAAEuuE,GAAGhwE,EAAE0B,EAAE,EAAE,MAAM,KAAKquE,GAAGtuE,EAAEyuE,GAAG,MAAM,QAAQzuE,EAAE2uE,GAAG,KAAK,CAAC,MAAM,KAAKA,GAAG,OAAO7vE,EAAE,OAAOmB,CAAC,EAAE,CAAC,KAAKquE,GAAGtuE,EAAEyuE,GAAG,MAAM,QAAQ,CAAC,MAAM,QAAQ,CAAC,GAAGzuE,IAAI0uE,GAAG,EAAE,KAAK5vE,EAAE,UAAUP,EAAEwB,EAAE,CAAC,CAAC,EAAE,EAAE,KAAKjB,EAAE,UAAUP,CAAC,CAAC,EAAEL,GAAG,EAAE,SAAS,KAAK,gBAAgB,OAAO,MAAM,IAAI,MAAM,wCAAwC,KAAK,gBAAgB,qCAAqC,GAAG,EAAE,OAAO,CAAC,CAAC,EAAM0wE,GAAG,cAActB,EAAE,CAAC,YAAYxuE,EAAE,CAAC,MAAM,EAAE,KAAK,iBAAiBA,EAAE,KAAK,SAAS,GAAG,KAAK,QAAQA,EAAE,SAAS,KAAK,IAAIZ,EAAE,KAAK,KAAK,KAAK,OAAO,EAAE,GAAG,KAAK,QAAQ,GAAGA,EAAE,GAAGA,EAAE,IAAI,CAAC,OAAO,UAAUA,CAAC,EAAE,MAAM,IAAI,MAAM,gFAAgF,KAAK,SAAS,EAAE,GAAG,KAAK,UAAUY,EAAE,yBAAyB,GAAG,KAAK,aAAaA,EAAE,aAAa,KAAK,qBAAqBA,EAAE,sBAAsB,KAAK,QAAQ,KAAK,sBAAsBA,EAAE,sBAAsB,KAAK,sBAAsBA,EAAE,uBAAuB,EAAE,KAAK,mBAAmBA,EAAE,qBAAqB,GAAG,KAAK,gBAAgBA,EAAE,kBAAkB,GAAG,CAAC,KAAK,oBAAoB,CAAC,KAAK,gBAAgB,MAAM,IAAI,MAAM,sGAAsG,CAAC,CAAC,SAAS,CAAC,MAAM,YAAY,CAAC,aAAa,OAAOA,EAAE,CAAC,EAAE,CAAC,GAAG,CAAC2Z,EAAE,EAAE,IAAI,YAAY,EAAE,MAAM,IAAI,MAAM,0DAA0D,EAAE,IAAIva,EAAE,IAAI0wE,GAAG9vE,CAAC,EAAE,OAAO,MAAMZ,EAAE,MAAM,EAAEA,CAAC,CAAC,MAAM,OAAO,CAAC,GAAG,CAAC,KAAK,OAAO,MAAM,UAAU,aAAa,aAAa,CAAC,MAAM,KAAK,uBAAuB,KAAK,GAAG,KAAK,sBAAsB,MAAM,EAAE,CAAC,CAAC,OAAO,EAAN,CAAS,MAAM,IAAI,MAAM,iDAAiD,EAAE,SAAS,CAAC,CAAC,GAAG,CAAC,KAAK,OAAO,MAAM,IAAI,MAAM,yCAAyC,EAAE,IAAIY,EAAE,OAAO,cAAc,OAAO,mBAAmB,GAAG,KAAK,aAAa,IAAIA,EAAE,CAAC,KAAK,aAAa,KAAK,aAAa,KAAK,aAAa,mBAAmB,KAAK,aAAa,aAAa,KAAK,aAAa,MAAM,IAAI,MAAM,wCAAwC,KAAK,yBAAyB,KAAK,aAAa,YAAY,EAAE,IAAIZ,EAAE,KAAK,aAAa,wBAAwB,KAAK,MAAM,EAAE,KAAK,SAAS,KAAK,aAAa,eAAe,EAAE,KAAK,SAAS,QAAQ,KAAK,QAAQ,EAAE,KAAK,SAAS,sBAAsB,KAAK,sBAAsBA,EAAE,QAAQ,KAAK,QAAQ,EAAE,KAAK,SAAS,IAAI,aAAa,KAAK,OAAO,EAAE,KAAK,SAAS,IAAI,aAAa,KAAK,OAAO,CAAC,CAAC,MAAM,MAAM,CAAC,GAAG,KAAK,SAAS,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,IAAIY,EAAEZ,EAAE,EAAE,MAAM,KAAK,aAAa,EAAE,GAAG,KAAK,mBAAmB,CAAC,IAAIK,EAAE,KAAK,aAAa,EAAE,aAAa,EAAEO,EAAE,KAAK,4BAA4BP,EAAE,CAAC,KAAK,UAAU,KAAK,qBAAqB,CAAC,CAAC,CAAC,CAAC,GAAG,KAAK,gBAAgB,CAAC,IAAIA,EAAE,KAAK,aAAa,EAAE,aAAa,EAAEL,EAAE,KAAK,4BAA4BK,EAAE,CAAC,KAAK,UAAU,KAAK,QAAQ,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,MAAM,CAAC,YAAYO,EAAE,SAASZ,CAAC,EAAE,KAAK,EAAE,CAAC,CAAC,MAAM,SAAS,CAAC,OAAO,MAAM,KAAK,KAAK,GAAG,KAAK,CAAC,MAAM,cAAc,CAAC,IAAIY,EAAE,CAAC,EAAEZ,EAAE,CAAC,EAAE,EAAE,EAAE,OAAO,IAAI,QAAQK,GAAG,CAAC,IAAIwB,EAAE,YAAY,IAAI,CAAC,KAAK,qBAAqB,KAAK,SAAS,sBAAsB,KAAK,QAAQ,EAAE,KAAK,SAAS,KAAK,MAAMxB,EAAE,CAAC,cAAcO,EAAE,cAAcZ,CAAC,CAAC,EAAEY,EAAE,KAAK,KAAK,SAAS,MAAM,EAAE,KAAK,oBAAoB,CAAC,GAAG,KAAK,kBAAkB,KAAK,SAAS,uBAAuB,KAAK,QAAQ,EAAEZ,EAAE,KAAK,KAAK,SAAS,MAAM,CAAC,GAAG,EAAE,IAAI,KAAK,YAAY,cAAc6B,CAAC,EAAExB,EAAE,CAAC,cAAcO,EAAE,cAAcZ,CAAC,CAAC,EAAE,EAAE,KAAK,QAAQ,KAAK,aAAa,GAAG,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,KAAK,WAAW,KAAK,SAAS,GAAG,KAAK,SAAS,WAAW,EAAE,KAAK,aAAa,MAAM,EAAE,KAAK,QAAQ,MAAM,KAAK,OAAO,UAAU,EAAE,OAAO,GAAG,KAAK,OAAO,UAAU,EAAE,GAAG,KAAK,EAAE,CAAC,SAAS,CAAC,MAAM,IAAI,MAAM,iDAAiD,CAAC,CAAC,eAAe,CAAC,OAAO,KAAK,YAAY,CAAC,aAAaY,EAAE,CAAC,IAAIZ,EAAEY,EAAE,GAAG,OAAO,EAAE,IAAI,aAAaA,EAAE,OAAOZ,CAAC,EAAE,OAAOY,EAAE,QAAQ,CAACP,EAAEwB,IAAI,EAAE,IAAIxB,EAAEwB,EAAE7B,CAAC,CAAC,EAAE,CAAC,CAAC,4BAA4BY,EAAEZ,EAAE,CAAC,IAAI,EAAE,IAAI,aAAa4mB,EAAE,cAAc5mB,CAAC,CAAC,EAAE,OAAO,EAAE,IAAIY,EAAE,EAAE,OAAOA,EAAE,MAAM,EAAEyrB,GAAG,EAAErsB,CAAC,CAAC,CAAC,EAAM2wE,GAAG,cAAcvB,EAAE,CAAC,YAAYxuE,EAAEZ,EAAE,CAAC,GAAG,MAAM,EAAE,KAAK,mBAAmBY,EAAE,KAAK,aAAaZ,EAAE,KAAK,SAAS,GAAG,KAAK,OAAO,GAAG,KAAK,aAAa,EAAE,GAAG,KAAK,OAAO,GAAG,KAAK,SAAS,CAAC,KAAK,aAAa,aAAa,KAAK,aAAa,WAAW,EAAE,KAAK,WAAWiwC,GAAG,CAAC,CAAC,EAAE,OAAO,EAAE,KAAK,aAAa,WAAW,CAAC,IAAI,EAAE,KAAK,aAAa,YAAY,EAAE,KAAK,mBAAmB,MAAM5vC,EAAE,KAAK,aAAa,aAAa,EAAE,KAAK,mBAAmB,OAAOwB,GAAG,EAAE,GAAG,EAAEC,GAAG,EAAEzB,GAAG,EAAE0B,EAAEF,EAAE,EAAEG,EAAE3B,EAAEyB,EAAE,KAAK,QAAQouC,GAAG,CAACpuC,EAAED,EAAEG,EAAED,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,MAAM,KAAK,QAAQmuC,GAAG,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,QAAQ,CAAC,aAAa,OAAOtvC,EAAEZ,EAAE,CAAC,EAAE,CAAC,GAAG,CAACua,EAAE,EAAE,IAAI,YAAY,EAAE,MAAM,IAAI,MAAM,0DAA0D,EAAE,GAAG,CAAC3Z,EAAE,CAAC,GAAGA,EAAE,SAAS,cAAc,OAAO,EAAE,CAACZ,EAAE,aAAa,CAACA,EAAE,aAAa,MAAM,IAAI,MAAM,wGAAwG,EAAEY,EAAE,MAAMZ,EAAE,YAAYY,EAAE,OAAOZ,EAAE,YAAY,CAAC,IAAI,EAAE,IAAI2wE,GAAG/vE,EAAEZ,CAAC,EAAE,OAAO,MAAM,EAAE,MAAM,EAAE,CAAC,CAAC,MAAM,OAAO,CAAC,KAAK,aAAa,YAAY4mB,EAAE,OAAO,KAAK,aAAa,aAAa,QAAQ,KAAK,aAAa,aAAa,cAAc,IAAI,+BAA+B,KAAK,aAAa,oDAAoD,EAAE,GAAG,CAAC,KAAK,OAAO,MAAM,UAAU,aAAa,aAAa,CAAC,MAAM,CAAC,SAAS,KAAK,aAAa,SAAS,WAAW,KAAK,aAAa,WAAW,KAAK,aAAa,WAAW,OAAO,MAAM,KAAK,mBAAmB,MAAM,OAAO,KAAK,mBAAmB,MAAM,CAAC,CAAC,CAAC,OAAOhmB,EAAN,CAAS,MAAMA,EAAE,QAAQ,iDAAiDA,EAAE,UAAUA,CAAC,CAAC,GAAG,CAAC,KAAK,OAAO,MAAM,IAAI,MAAM,qCAAqC,EAAE,GAAG,CAAC,KAAK,mBAAmB,UAAU,KAAK,MAAM,OAAOA,EAAN,CAAS,QAAQ,IAAIA,CAAC,EAAE,KAAK,mBAAmB,IAAI,OAAO,IAAI,gBAAgB,KAAK,MAAM,CAAC,CAAC,OAAO,KAAK,mBAAmB,KAAK,EAAE,KAAK,SAAS,GAAG,IAAI,QAAQA,GAAG,CAAC,KAAK,mBAAmB,iBAAiB,IAAI,CAACA,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,MAAM,CAAC,GAAG,KAAK,SAAS,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,IAAIA,EAAE,GAAG,CAACA,EAAEq0B,GAAG,WAAW,KAAK,kBAAkB,CAAC,OAAOj1B,EAAN,CAAS,MAAM,IAAI,MAAM,4CAA4C,KAAK,UAAUA,CAAC,GAAG,CAAC,CAAC,GAAG,KAAK,OAAO,GAAG,CAAC,MAAM,CAAC,MAAM,KAAK,mBAAmBY,CAAC,EAAE,KAAK,EAAE,CAAC,OAAOZ,EAAN,CAAS,MAAM,IAAI,MAAM,oCAAoCA,EAAE,SAAS,CAAC,QAAC,CAAQY,EAAE,QAAQ,CAAC,KAAM,OAAM,CAAC,MAAMA,EAAE,KAAK,EAAE,CAAC,CAAC,cAAc,CAAC,MAAM,CAAC,EAAE,KAAK,aAAa,aAAa,KAAK,aAAa,eAAe,KAAK,mBAAmB,QAAQ,KAAK,aAAa,aAAa,KAAK,mBAAmB,SAAS,KAAK,aAAa,cAAc,CAAC,mBAAmBA,EAAE,CAAC,OAAO2yB,EAAE,IAAI,CAAC,IAAIvzB,EAAE0jC,GAAGnT,GAAE3vB,EAAE,SAAS,EAAE,CAAC,EAAE,EAAE,EAAEy4C,GAAG,cAAcr5C,EAAE,KAAK,QAAQ,KAAK,WAAW,KAAK,SAAS,UAAU,EAAE,IAAIK,EAAE,EAAE,MAAM,OAAO27B,EAAE,EAAE37B,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,SAAS,CAAC,OAAO,MAAM,KAAK,KAAK,GAAG,KAAK,CAAC,MAAM,CAAC,KAAK,OAAO,UAAU,EAAE,QAAQ,GAAG,EAAE,KAAK,CAAC,EAAE,GAAG,CAAC,KAAK,mBAAmB,UAAU,IAAI,OAAO,EAAN,CAAS,QAAQ,IAAI,CAAC,EAAE,KAAK,mBAAmB,IAAI,IAAI,CAAC,KAAK,SAAS,EAAE,CAAC,SAAS,CAAC,MAAM,IAAI,MAAM,iDAAiD,CAAC,CAAC,EAAMuwE,GAAG,KAAK,CAAC,EAAMC,GAAG,cAAczB,EAAE,CAAC,MAAMxuE,EAAE,CAAC,OAAO,IAAIkwE,GAAG,KAAKlwE,CAAC,CAAC,CAAC,EAAEkwE,GAAG,cAAcD,EAAE,CAAC,YAAYjwE,EAAEZ,EAAE,CAAC,MAAM,EAAE,KAAK,SAASY,EAAE,KAAK,KAAK,IAAImwE,GAAGnwE,EAAEZ,CAAC,CAAC,CAAC,SAAS,CAAC,OAAO,KAAK,KAAK,QAAQ,CAAC,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,KAAK,KAAK,CAAC,CAAC,EAAE+wE,GAAG,cAAcf,EAAE,CAAC,YAAYpvE,EAAEZ,EAAE,CAAC,MAAM,EAAE,KAAK,SAASY,EAAE,KAAK,UAAUZ,EAAE,KAAK,UAAU,EAAE,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,eAAe,KAAK,aAAa,CAAC,MAAM,MAAM,CAAC,IAAIY,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,GAAGA,EAAE,KAAK,OAAO,KAAK,YAAY,GAAG,IAAI,KAAK,YAAY,KAAK,KAAK,SAAS,EAAE,KAAK,UAAU,GAAG,IAAI,IAAIZ,EAAEY,EAAE,MAAM,MAAM,KAAK,SAAS,EAAEZ,EAAE,GAAG,KAAK,UAAUA,EAAE,GAAG,QAAQ,KAAKA,EAAE,MAAM,EAAE,EAAE,EAAE,KAAK,YAAY,KAAK,CAAC,EAAE,OAAO,KAAK,UAAUA,EAAEA,EAAE,OAAO,GAAG,EAAE,CAAC,EAAMgxE,GAAG,cAAc5B,EAAE,CAAC,YAAY,CAAC,OAAO,IAAI6B,GAAG,IAAI,CAAC,CAAC,EAAEA,GAAG,cAAcJ,EAAE,CAAC,YAAYjwE,EAAE,CAAC,MAAM,EAAE,KAAK,SAASA,EAAE,KAAK,KAAK,IAAIswE,GAAGtwE,CAAC,CAAC,CAAC,SAAS,CAAC,OAAO,KAAK,KAAK,QAAQ,CAAC,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,KAAK,KAAK,CAAC,CAAC,EAAEswE,GAAG,cAAclB,EAAE,CAAC,YAAYpvE,EAAE,CAAC,GAAG,MAAM,EAAE,KAAK,SAASA,EAAE2Z,EAAE,EAAE,IAAI,YAAY,EAAE,KAAK,QAAQ,IAAI,YAAY,OAAO,MAAM,CAAC,GAAG,CAAC,cAAcva,CAAC,EAAE+F,GAAG,EAAE,KAAK,QAAQ,IAAI/F,EAAE,MAAM,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,WAAW,CAAC,MAAM,MAAM,CAAC,IAAIY,EAAE,MAAM,KAAK,SAAS,KAAK,EAAEZ,EAAE,GAAGY,EAAE,KAAK,MAAM,GAAGZ,EAAEY,EAAE,MAAM,IAAI,EAAE,OAAO2Z,EAAE,EAAE,IAAI,YAAY,EAAE,EAAE,KAAK,QAAQ,OAAOva,EAAE,CAAC,OAAO,EAAE,CAAC,EAAE,EAAE,KAAK,QAAQ,MAAM,OAAO,KAAKA,EAAE,MAAM,CAAC,EAAE,KAAK,YAAY,KAAK,CAAC,EAAE,EAAE,CAAC,EAAMmxE,GAAG,cAAcH,EAAE,CAAC,YAAYpwE,EAAEZ,EAAE,CAAC,EAAE,CAAC,MAAM,EAAE,KAAK,KAAKY,EAAE,KAAK,QAAQZ,EAAE4mB,EAAE,OAAOhmB,aAAa,aAAa2Z,EAAE,EAAE,IAAI,YAAY,EAAE3Z,aAAa,MAAMA,aAAa,KAAK,IAAI,IAAI,sEAAsE,EAAE,KAAK,OAAOZ,EAAE,QAAQ,EAAE,KAAK,UAAUA,EAAE,WAAW,KAAK,IAAI,CAAC,SAAS,CAAC,MAAM,cAAc,KAAK,MAAM,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,gBAAgB,WAAW,KAAK,KAAK,WAAW,KAAK,KAAK,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,CAAC,MAAM,MAAM,IAAI,QAAQ,CAAC,EAAEI,IAAI,CAAC,IAAIC,EAAE,KAAK,OAAO,KAAK,UAAU,GAAG,KAAK,gBAAgB,WAAW,EAAE,IAAI,WAAW,KAAK,KAAK,MAAM,KAAK,OAAOA,CAAC,CAAC,CAAC,MAAM,CAAC,IAAIwB,EAAE,IAAI,WAAWA,EAAE,OAAOE,GAAG,CAAC,IAAIC,EAAEH,EAAE,OAAO,GAAGG,aAAa,cAAcA,EAAE,IAAI,WAAWA,CAAC,GAAG,EAAEA,aAAa,YAAY,OAAO5B,EAAE,IAAI,UAAU,mCAAmC,CAAC,EAAE,EAAE4B,CAAC,CAAC,EAAEH,EAAE,QAAQE,GAAG3B,EAAE,IAAI,MAAM,SAAS,CAAC,EAAEyB,EAAE,QAAQE,GAAG3B,EAAE,IAAI,MAAM2B,EAAE,IAAI,CAAC,EAAE,IAAID,EAAE,KAAK,KAAK,MAAM,KAAK,OAAOzB,CAAC,EAAEwB,EAAE,kBAAkBC,CAAC,CAAC,CAAC,KAAK,OAAOzB,CAAC,CAAC,EAAE,KAAK,EAAE,CAAC,CAAC,EAAE,eAAe+wE,GAAGtxE,EAAE,EAAE,CAAC,EAAEE,EAAE,CAAC,IAAII,EAAEC,EAAE,OAAOP,GAAG,SAASM,EAAEN,GAAGM,EAAEN,EAAE,IAAIO,EAAEgxE,GAAGvxE,CAAC,GAAG,IAAI,EAAE,MAAME,GAAG4mB,EAAE,OAAOxmB,EAAEC,CAAC,EAAE,GAAG,EAAE,GAAG,CAAC,IAAI,EAAE,IAAI,WAAW,MAAM,EAAE,YAAY,CAAC,EAAE,OAAO,IAAI8wE,GAAG,EAAE,CAAC,CAAC,KAAM,OAAM,IAAI,MAAM,EAAE,UAAU,CAAC,CAAC,IAAIE,GAAGvxE,IAAI,CAAC,OAAOA,EAAE,OAAO,QAAQA,EAAE,QAAQ,KAAKA,EAAE,KAAK,KAAKA,EAAE,KAAK,YAAYA,EAAE,YAAY,MAAMA,EAAE,MAAM,SAASA,EAAE,SAAS,SAASA,EAAE,SAAS,UAAUA,EAAE,SAAS,GAAG,SAASwxE,GAAGxxE,EAAE,CAAC,OAAO,OAAOA,GAAG,UAAUA,EAAE,MAAM,EAAE,CAAC,IAAI,SAAS,CAAC,IAAImtE,GAAG,cAAc2D,EAAE,CAAC,YAAYhwE,EAAEZ,EAAE,CAAC,EAAE,CAAC,MAAM,EAAE,KAAK,MAAMY,EAAE,KAAK,QAAQZ,CAAC,CAAC,MAAM,UAAU,CAAC,GAAGsxE,GAAG,KAAK,KAAK,GAAG/2D,EAAE,EAAE,IAAI,SAAS,EAAE,CAAC,IAAI3Z,EAAEoF,GAAG,EAAE,KAAK,MAAMpF,EAAE,aAAa,KAAK,MAAM,MAAM,CAAC,CAAC,CAAC,CAAC,OAAO,IAAIuwE,GAAG,KAAK,MAAM,KAAK,OAAO,CAAC,CAAC,EAAMhE,GAAG,cAAcyD,EAAE,CAAC,YAAYhwE,EAAEZ,EAAE,CAAC,EAAE,CAAC,MAAM,EAAE,KAAK,IAAIY,EAAE,KAAK,YAAYZ,CAAC,CAAC,MAAM,UAAU,CAAC,OAAOsxE,GAAG,KAAK,GAAG,EAAE,IAAIrE,GAAG,KAAK,IAAI,KAAK,WAAW,EAAE,SAAS,EAAEmE,GAAG,KAAK,IAAI,KAAK,WAAW,CAAC,CAAC,EAAE,SAAS/D,GAAGvtE,EAAE,EAAE,CAAC,EAAE,CAAC,OAAO,IAAIitE,GAAG,IAAII,GAAGrtE,CAAC,EAAE,CAAC,CAAC,CAAC,SAASwtE,GAAGxtE,EAAE,CAAC,IAAI,EAAE+uE,GAAG/uE,CAAC,EAAE,OAAOmwE,GAAG,SAAS,CAAC,CAAC,CAAC,SAAS1C,GAAGztE,EAAE,CAAC,OAAOmwE,GAAG,SAAS,CAAC,IAAI,EAAE,MAAMnwE,EAAE,EAAE,OAAO+uE,GAAG,IAAI,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,eAAenB,GAAG5tE,EAAE,EAAE,CAAC,OAAO6wE,GAAG,OAAO7wE,EAAE,CAAC,CAAC,CAAC,eAAe0tE,GAAG1tE,EAAE,CAAC,OAAO4wE,GAAG,OAAO5wE,CAAC,CAAC,CAAC,IAAI2tE,GAAG,QAAQ,SAAS8D,GAAGzxE,EAAE,EAAE,CAAC,MAAM,QAAQA,CAAC,IAAIA,EAAE,CAACA,CAAC,GAAGA,EAAE,QAAQE,GAAG,CAACA,GAAG,MAAM4mB,EAAE,OAAO5mB,EAAE,QAAQ,YAAY,IAAI,GAAG,0DAA0D,CAAC,CAAC,CAAC,CAAC,IAAIwxE,GAAGrzB,GAAG,UAAUszB,GAAG,cAAcv6D,EAAE,CAAC,aAAa,CAAC,MAAM,EAAE,KAAK,UAAU,GAAG,KAAK,SAAS,GAAG,KAAK,KAAK,IAAID,GAAG,KAAKmc,GAAG,CAAC,CAAC,CAAC,YAAY,CAAC,OAAOq+C,GAAG,YAAY,CAAC,MAAM7wE,EAAEZ,EAAE,EAAE,CAAC,KAAK,WAAW,KAAK,SAAS,GAAGua,EAAE,EAAE,IAAI,SAAS,GAAG+/B,EAAE,KAAK;AAAA;AAAA;AAAA,6BAGv6b,GAAG,IAAIj6C,EAAE,CAAC,GAAG,KAAK,WAAW,CAAC,EAAE,OAAO,KAAK,KAAK,IAAIA,EAAE,CAAC,OAAOO,EAAE,MAAM,EAAE,SAAS,CAAC,CAAC,EAAEP,CAAC,CAAC,eAAeO,EAAEZ,EAAE,EAAE,CAAC,IAAIK,EAAE,GAAGL,IAAI,UAAU,GAAG,MAAM,EAAE,OAAO,GAAG4mB,EAAE,SAAS,EAAE,EAAE,EAAE,CAAC,IAAI/kB,EAAE,EAAE,IAAIC,GAAG8kB,EAAE,aAAa9kB,CAAC,CAAC,EAAEzB,EAAE,KAAK,MAAMwB,EAAEjB,EAAEZ,CAAC,CAAC,MAAMK,EAAE,KAAK,MAAM,EAAEO,EAAEZ,CAAC,EAAE,MAAM,CAAC,OAAOK,EAAE,MAAMO,EAAE,MAAMZ,CAAC,CAAC,CAAC,SAASY,EAAE,CAAC,OAAO,KAAK,KAAK,IAAIA,CAAC,EAAE,KAAK,KAAK,IAAIA,CAAC,EAAE,SAAS,CAAC,CAAC,OAAOA,EAAE,CAAC,IAAIZ,EAAE,KAAK,KAAK,IAAIY,CAAC,EAAEZ,EAAE,UAAU,CAAC,OAAOY,EAAE,CAAC,GAAG,KAAK,KAAK,IAAIA,CAAC,EAAE,CAAC,IAAIZ,EAAE,KAAK,KAAK,IAAIY,CAAC,EAAEZ,EAAE,UAAU,CAAC,CAAC,KAAKY,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,KAAK,KAAK,IAAIjB,EAAE,CAAC,OAAOZ,EAAE,MAAMK,EAAE,SAASwB,CAAC,CAAC,CAAC,CAAC,YAAY,CAAC,OAAO,KAAK,KAAK,WAAW,CAAC,CAAC,MAAM,KAAKjB,EAAE,CAAC,OAAO,KAAK,SAASA,CAAC,CAAC,CAAC,SAASA,EAAE,CAAC,GAAG,CAAC,MAAMZ,EAAE,mBAAmB,CAAC,EAAE,KAAK,KAAK,IAAIY,CAAC,EAAE,GAAGZ,IAAI,YAAY,CAAC,IAAIK,EAAE,KAAK,SAAS,EAAE,KAAK,MAAM,EAAEwB,EAAE,KAAK,SAAS,EAAE,KAAK,MAAM,EAAE,OAAOy4C,EAAE,uBAAuBj6C,EAAEwB,CAAC,CAAC,CAAC,OAAO,KAAK,KAAK,IAAIjB,CAAC,EAAE,MAAM,CAAC,WAAWA,EAAE,CAAC,IAAIZ,EAAE,KAAK,SAASY,EAAE,MAAM,EAAE,GAAGA,EAAE,QAAQ,SAAS,GAAG,CAAC,IAAI,EAAEZ,EAAE,IAAIK,GAAGumB,EAAE,aAAavmB,CAAC,CAAC,EAAE,OAAOgwB,GAAGzvB,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,OAAO,EAAN,CAAS,MAAM,IAAI,MAAM,kDAAkD,CAAC,CAAC,OAAOyvB,GAAGzvB,EAAE,MAAMA,EAAE,MAAMZ,CAAC,CAAC,CAAC,WAAWY,EAAEZ,EAAE,EAAE,CAAC,OAAOozB,GAAG,EAAE,yBAAyB,KAAK,eAAepzB,EAAE,EAAEY,CAAC,EAAE,IAAI,CAAC,CAAC,YAAYA,EAAEZ,EAAE,GAAG,CAAC,GAAG,KAAK,KAAK,IAAIY,CAAC,EAAE,CAAC,GAAG,KAAK,KAAK,IAAIA,CAAC,EAAE,WAAW,CAACZ,GAAG,KAAK,KAAK,IAAIY,CAAC,EAAE,SAAS,EAAE,MAAM,GAAG,GAAG,CAAC,mBAAmB,CAAC,EAAE,KAAK,KAAK,IAAIA,CAAC,EAAE,GAAG,OAAO,KAAK,YAAY,EAAE,KAAK,OAAO,EAAE,EAAE,KAAK,YAAY,EAAE,KAAK,OAAO,EAAE,GAAG,KAAK,KAAK,OAAOA,CAAC,CAAC,CAAC,MAAM,EAAE,CAAC,8BAA8BA,EAAE,CAAC,KAAK,YAAYA,EAAE,MAAM,CAAC,CAAC,MAAM,KAAKA,EAAE,CAAC,IAAIZ,EAAE4mB,EAAE,IAAI,EAAE,OAAOhmB,EAAE,EAAE,CAAC,SAASgmB,EAAE,IAAI,EAAE5mB,CAAC,CAAC,CAAC,QAAQ,CAAC,MAAM,CAAC,WAAW,GAAG,QAAQ,CAAC,oHAAoH,CAAC,CAAC,CAAC,MAAMY,EAAE,CAAC2wE,GAAG,CAAC3wE,CAAC,EAAE,OAAO,EAAE,IAAIZ,EAAE,KAAK,SAASY,EAAE,MAAM,EAAE,OAAO4wE,GAAG5wE,EAAE,MAAMZ,CAAC,CAAC,CAAC,SAAS,CAAC,CAAC,gBAAgB,CAAC,MAAO,GAAE,CAAC,SAAS,CAAC,OAAO,MAAM,QAAQ,CAAC,CAAC,EAAEyxE,GAAG,WAAW,EAAE,IAAIC,GAAG,CAAC,EAAExxE,GAAGwxE,GAAG,CAAC,QAAQ,IAAIC,GAAG,aAAa,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,SAAS,IAAIC,GAAG,SAAS,IAAIC,GAAG,WAAW,IAAIC,GAAG,UAAU,IAAIC,GAAG,QAAQ,IAAIC,GAAG,UAAU,IAAIC,GAAG,UAAU,IAAIC,GAAG,aAAa,IAAIC,GAAG,aAAa,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,YAAY,IAAIC,GAAG,cAAc,IAAIC,GAAG,SAAS,IAAIC,GAAG,aAAa,IAAIC,GAAG,QAAQ,IAAIC,GAAG,QAAQ,IAAIC,GAAG,YAAY,IAAIC,GAAG,YAAY,IAAIC,GAAG,aAAa,IAAIC,GAAG,QAAQ,IAAIC,GAAG,aAAa,IAAIC,GAAG,SAAS,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,yBAAyB,IAAIC,GAAG,UAAU,IAAIC,GAAG,UAAU,IAAIC,GAAG,YAAY,IAAIC,GAAG,YAAY,IAAIC,GAAG,cAAc,IAAIC,GAAG,UAAU,IAAIC,GAAG,wBAAwB,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,SAAS,IAAIC,GAAG,sBAAsB,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,QAAQ,IAAIC,GAAG,SAAS,IAAIC,GAAG,SAAS,IAAIC,GAAG,cAAc,IAAIC,GAAG,WAAW,IAAIC,EAAE,CAAC,EAAE,SAASf,GAAG7zE,EAAE,CAAC,IAAI,EAAE,IAAI,aAAaA,EAAE,MAAM,EAAE,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,EAAEA,GAAG,KAAK,IAAIF,EAAEE,EAAE,EAAE,OAAO,CAAC,CAAC,IAAI20E,GAAG70E,GAAG,CAAC,GAAG,CAAC,EAAE,CAAC,EAAEA,EAAE,OAAOE,EAAEF,EAAE,QAAQyxE,GAAG,EAAE,KAAK,EAAE,IAAInxE,EAAE,IAAI,aAAawmB,EAAE,cAAc,EAAE,KAAK,CAAC,EAAEvmB,EAAEL,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,OAAOI,EAAEuzE,GAAGtzE,CAAC,EAAEL,EAAE,WAAWI,EAAE,EAAE,MAAM,EAAE,KAAK,CAAC,EAAEw0E,GAAG,CAAC,WAAW55D,GAAG,YAAY,MAAM,WAAW25D,EAAE,EAAE,SAASE,GAAG/0E,EAAE,CAAC,MAAM,CAAC,EAAEE,EAAEI,EAAEC,EAAE,IAAI,CAAC,IAAI,EAAEi6C,EAAE,2BAA2B,EAAEt6C,CAAC,EAAE+B,EAAE,EAAE,OAAOC,EAAE4kB,EAAE,eAAe,CAAC,EAAE3kB,EAAE2kB,EAAE,cAAc,CAAC,EAAElkB,EAAEkkB,EAAE,uBAAuB,EAAE3kB,CAAC,EAAEU,EAAE,EAAE,OAAOC,EAAE5C,EAAE,OAAO6C,EAAE+jB,EAAE,eAAe,CAAC,EAAE9jB,EAAE8jB,EAAE,eAAe5mB,CAAC,EAAEgE,EAAEs2C,EAAE,iBAAiB,EAAE,CAAC,EAAE,EAAEA,EAAE,iBAAiBt6C,EAAE,CAAC,EAAE,GAAGgE,EAAE,OAAO,EAAE,SAAS,EAAE,QAAQqD,EAAE,EAAEA,EAAE3E,EAAE,OAAO,EAAE2E,EAAE3E,EAAE2E,GAAGvH,EAAEM,EAAEiH,EAAEjH,EAAE,QAAQC,EAAEgH,EAAEhH,EAAE,OAAO,MAAO,SAAQgH,EAAE,EAAEA,EAAE3E,EAAE,OAAO,EAAE2E,EAAE,CAAC,IAAIxC,EAAE+hB,EAAE,WAAWvf,EAAEtF,EAAEC,CAAC,EAAEyC,EAAEI,EAAE,MAAM,CAAClC,CAAC,EAAEqB,EAAE,QAAQsD,GAAG7C,EAAE6C,GAAG,CAAC,EAAE,IAAI5C,EAAEkiB,EAAE,WAAWniB,EAAE9B,EAAEE,CAAC,EAAE8B,EAAEE,EAAE,MAAM,CAACjC,CAAC,EAAE,EAAE,QAAQ0E,GAAG3C,EAAE2C,GAAG,CAAC,EAAE,IAAI1C,EAAEgiB,EAAE,WAAWjiB,EAAE/B,EAAEE,CAAC,EAAEJ,EAAE2E,GAAGvH,EAAEM,EAAEsE,GAAGrE,EAAEuE,EAAE,CAAC,CAAC,MAAM,CAAClC,EAAE,CAAC,CAAC,CAAC,CAAC,SAASoyE,GAAGh1E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,KAAKM,EAAE,KAAKC,CAAC,EAAE,EAAE,EAAEL,EAAE,KAAK,IAAII,EAAE,MAAM,EAAE,OAAO,EAAEJ,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO0B,EAAE/B,EAAE,eAAeI,EAAE,MAAM,WAAW,EAAE4B,EAAEhC,EAAE,KAAK,IAAI+B,EAAE,MAAM,EAAE,OAAOC,EAAE,mBAAmB,CAAC,KAAKhC,EAAE,eAAeI,EAAE,MAAM,UAAU,CAAC,EAAE,KAAKJ,EAAE,eAAeK,EAAE,MAAM,UAAU,CAAC,CAAC,EAAE0B,CAAC,CAAC,IAAIgzE,GAAG,CAAC,WAAWr4D,GAAG,YAAY,MAAM,WAAWo4D,EAAE,EAAE,SAASE,GAAGl1E,EAAE,EAAEE,EAAE,UAAU,CAAC,GAAGA,IAAI,YAAY,CAAC,IAAIK,EAAE20E,GAAGl1E,EAAE,EAAE,SAAS,EAAE,EAAEk1E,GAAGl1E,EAAE,EAAE,SAAS,EAAE,OAAOg1E,GAAG,CAAC,OAAO,CAAC,KAAKz0E,EAAE,KAAK,CAAC,EAAE,QAAQP,CAAC,CAAC,CAAC,CAAC,IAAIM,EAAEwmB,EAAE,oBAAoBA,EAAE,cAAc,CAAC,EAAE5mB,CAAC,EAAE,OAAOF,EAAE,eAAe,EAAEE,EAAEI,CAAC,CAAC,CAAC,SAAS60E,GAAGn1E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,CAAC,EAAE,EAAE,OAAOJ,EAAE,OAAOI,EAAE,MAAM,EAAE,CAAC,OAAOA,EAAE,OAAO,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,IAAI80E,GAAG,CAAC,WAAW91D,GAAG,YAAY,MAAM,WAAW61D,EAAE,EAAE,SAASE,GAAGr1E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMM,CAAC,EAAE,EAAEC,EAAEL,EAAE,KAAK,IAAII,EAAE,MAAM,EAAE,mBAAmB,KAAK,EAAEJ,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO,OAAOL,EAAE,eAAeK,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,CAAC,IAAI+0E,GAAG,CAAC,WAAW7yD,GAAG,YAAY,MAAM,WAAW4yD,EAAE,EAAE,SAASrD,GAAGhyE,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAGA,IAAI,QAAQ,CAAC,IAAIC,EAAE,WAAW,KAAKP,CAAC,EAAE,MAAM,CAAC,EAAE,QAAQO,CAAC,CAAC,CAAC,GAAGD,IAAI,OAAO,CAAC,IAAIC,EAAEumB,EAAE,aAAa,CAAC,CAAC,EAAE5mB,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE60E,GAAG,CAAC9yE,EAAEC,IAAID,IAAIC,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAElC,EAAEO,EAAE,MAAM,EAAE,MAAM,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,MAAM,IAAI,MAAM,iCAAiCL,QAAQI,GAAG,CAAC,CAAC,SAASi1E,GAAGv1E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE,GAAG,IAAI,YAAY,CAAC,GAAGC,EAAE,QAAQ,YAAY,OAAO40E,GAAG,CAAC,OAAO,CAAC,EAAE50E,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,IAAI0C,EAAEsyE,GAAGh1E,EAAEK,EAAE,MAAMA,EAAE,KAAK,EAAEsC,EAAE0yE,GAAG,CAAC,OAAO,CAAC,EAAEh1E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAE4C,EAAEkyE,GAAG,CAAC,OAAO,CAAC,KAAKnyE,EAAE,KAAKD,CAAC,EAAE,QAAQ1C,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B0C,CAAC,EAAE1C,EAAE,8BAA8B2C,CAAC,EAAEC,CAAC,CAAC,GAAGvC,EAAE,QAAQ,YAAY,CAAC,IAAIqC,EAAEyyE,GAAG,CAAC,OAAO,CAAC,MAAM90E,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE2C,EAAE0yE,GAAG,CAAC,OAAO,CAAC,EAAE3yE,CAAC,EAAE,QAAQ1C,EAAE,MAAM,CAAC,MAAM,CAAC,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B0C,CAAC,EAAEC,CAAC,CAAC,GAAG,CAACikB,EAAE,gBAAgBvmB,EAAE,MAAM,CAAC,EAAE,CAAC,IAAIqC,EAAEuyE,GAAG,CAAC,OAAO,CAAC,EAAE50E,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,MAAM,CAAC,OAAO0C,EAAE,OAAO,MAAMA,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC,IAAI,EAAE1C,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO,CAAC0B,EAAEC,EAAEC,CAAC,EAAE6vE,GAAG,EAAEzxE,EAAE,MAAMA,EAAE,MAAM,CAAC,EAAE,OAAOL,EAAE,eAAe+B,EAAEC,EAAEC,CAAC,CAAC,CAAC,IAAIqzE,GAAG,CAAC,WAAW/4D,GAAG,YAAY,MAAM,WAAW84D,EAAE,EAAE,SAASE,GAAGz1E,EAAE,EAAEE,EAAEI,EAAE,CAAC,OAAOJ,GAAG,KAAK,CAAC,CAAC,OAAOK,EAAE,QAAQ,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,EAAE,EAAE0B,CAAC,EAAE1B,EAAE2B,EAAE,EAAEuvE,GAAG,CAAC,EAAExvE,CAAC,EAAEjC,CAAC,EAAE,IAAImC,EAAED,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOU,EAAEV,EAAE,KAAK,IAAID,EAAE,MAAM,EAAE,OAAOY,EAAE,EAAE,QAAQ,SAAS23C,EAAE,uBAAuBr4C,CAAC,EAAEA,EAAEW,EAAE,EAAE,QAAQ,SAAS03C,EAAE,uBAAuB53C,CAAC,EAAEA,EAAEG,EAAEzC,GAAG,EAAE,MAAM,CAAC0C,EAAEkB,CAAC,EAAE,EAAE,EAAE,MAAMjC,EAAE,MAAMY,EAAEC,EAAEC,CAAC,EAAE,OAAOb,EAAE,eAAegC,EAAEnB,EAAEC,CAAC,CAAC,EAAE,CAAC,CAAC,OAAOzC,EAAE,QAAQ,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,EAAE,EAAE0B,CAAC,EAAE1B,EAAE2B,EAAE,EAAE,GAAG,EAAE,QAAQ,aAAaD,EAAE,QAAQ,YAAY,CAAC,IAAIE,EAAEozE,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQrzE,EAAE,MAAM,CAAC,MAAM,WAAW,CAAC,CAAC,EAAEU,EAAEV,EAAE,KAAK,IAAIC,EAAE,MAAM,EAAEU,EAAED,EAAE,mBAAmB,KAAKE,EAAEF,EAAE,mBAAmB,KAAKG,EAAEb,EAAE,KAAK,IAAIW,EAAE,MAAM,EAAE,OAAOG,EAAEd,EAAE,KAAK,IAAIY,EAAE,MAAM,EAAE,OAAOoB,EAAEqxE,GAAG,CAAC,OAAO,CAAC,EAAEtzE,CAAC,EAAE,QAAQC,EAAE,MAAM,CAAC,MAAM,WAAW,CAAC,CAAC,EAAE,EAAEA,EAAE,KAAK,IAAIgC,EAAE,MAAM,EAAEqD,EAAE,EAAE,mBAAmB,KAAKxC,EAAE,EAAE,mBAAmB,KAAKJ,EAAEzC,EAAE,KAAK,IAAIqF,EAAE,MAAM,EAAE,OAAO3C,EAAE1C,EAAE,KAAK,IAAI6C,EAAE,MAAM,EAAE,OAAO,CAACF,EAAEC,EAAE0C,CAAC,EAAEtH,EAAE,EAAE,MAAM+B,EAAE,MAAMc,EAAEC,EAAE2B,EAAEC,CAAC,EAAEI,EAAE9C,EAAE,eAAesF,EAAE,UAAU3C,CAAC,EAAE4C,EAAEvF,EAAE,eAAesF,EAAE,UAAU1C,CAAC,EAAEG,EAAE+vE,GAAG,CAAC,OAAO,CAAC,KAAKhwE,EAAE,KAAKyC,CAAC,EAAE,QAAQvF,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BC,CAAC,EAAED,EAAE,8BAA8BgC,CAAC,EAAEhC,EAAE,8BAA8B8C,CAAC,EAAE9C,EAAE,8BAA8BuF,CAAC,EAAExC,CAAC,KAAK,CAAC,IAAI9C,EAAED,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOU,EAAEV,EAAE,KAAK,IAAID,EAAE,MAAM,EAAE,OAAOY,EAAEvC,GAAG,EAAE,MAAM,CAACwC,EAAEC,CAAC,EAAE,EAAE,EAAE,MAAMd,EAAE,MAAME,EAAES,EAAEC,CAAC,EAAE,OAAOX,EAAE,eAAea,EAAEF,EAAEC,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS4yE,GAAG11E,EAAE,CAAC,MAAM,CAAC,EAAEE,EAAEI,EAAEC,EAAE,EAAE,IAAI,CAAC,IAAI0B,EAAEu4C,EAAE,2BAA2B,EAAEt6C,CAAC,EAAEgC,EAAE4kB,EAAE,cAAc7kB,CAAC,EAAEE,EAAEF,EAAE,OAAOW,EAAEkkB,EAAE,eAAe7kB,CAAC,EAAEY,EAAEikB,EAAE,uBAAuB,UAAU5kB,CAAC,EAAEY,EAAEgkB,EAAE,uBAAuB,UAAU5kB,CAAC,EAAEa,EAAEy3C,EAAE,iBAAiB,EAAEv4C,CAAC,EAAEe,EAAEw3C,EAAE,iBAAiBt6C,EAAE+B,CAAC,EAAEiC,EAAEs2C,EAAE,uBAAuBl6C,EAAEC,CAAC,EAAE,EAAEi6C,EAAE,uBAAuB,EAAE,CAAC,EAAEjzC,EAAE,EAAE,OAAOxC,EAAE+hB,EAAE,eAAe,CAAC,EAAEniB,EAAEzE,EAAE,OAAO0E,EAAEkiB,EAAE,eAAe5mB,CAAC,EAAE,GAAG6C,EAAE,OAAOC,EAAE,SAAS,EAAE,QAAQ6B,EAAE,EAAEA,EAAEhC,EAAE,OAAOgC,IAAI,CAAC,IAAIC,EAAED,EAAEX,EAAE,OAAOsD,EAAE3C,EAAE,EAAE,OAAOG,EAAEhF,EAAEkE,EAAEY,EAAE,GAAGZ,EAAEY,EAAE,EAAE,GAAG,EAAE0C,EAAE,GAAG,EAAEA,EAAE,EAAE,EAAE,EAAE3E,EAAEgC,GAAGG,EAAE,KAAKlC,EAAE+B,GAAGG,EAAE,IAAI,KAAM,SAAQH,EAAE,EAAEA,EAAEhC,EAAE,OAAOgC,IAAI,CAAC,IAAIC,EAAEgiB,EAAE,WAAWjiB,EAAE1C,EAAES,CAAC,EAAE4E,EAAE1C,EAAE,MAAM,CAACyC,CAAC,EAAExE,EAAE,QAAQoC,GAAGqC,EAAErC,GAAG,CAAC,EAAE,IAAIH,EAAE8hB,EAAE,WAAWtf,EAAED,EAAExC,CAAC,EAAE0C,EAAE3C,EAAE,MAAM,CAACH,CAAC,EAAE3B,EAAE,QAAQmC,GAAGsC,EAAEtC,GAAG,CAAC,EAAE,IAAIF,EAAE6hB,EAAE,WAAWrf,EAAE9C,EAAEC,CAAC,EAAEM,EAAElF,EAAEkE,EAAEc,EAAE,GAAGd,EAAEc,EAAE,EAAE,GAAG,EAAEC,EAAE,GAAG,EAAEA,EAAE,EAAE,EAAE,EAAEpC,EAAEgC,GAAGK,EAAE,KAAKpC,EAAE+B,GAAGK,EAAE,IAAI,CAAC,MAAM,CAACrC,EAAEC,EAAEb,CAAC,CAAC,CAAC,CAAC,IAAI4vE,GAAGkD,GAAG,CAAC/0E,EAAE,IAAIA,EAAE,CAAC,EAAE21E,GAAGD,GAAG,CAAC11E,EAAE,EAAEE,EAAEI,KAAK,CAAC,KAAKN,EAAEE,EAAE,KAAK,EAAEI,CAAC,EAAE,EAAEs1E,GAAGH,GAAGp6D,GAAGw2D,GAAG8D,EAAE,EAAEE,GAAG,CAAC,WAAWx6D,GAAG,YAAY,MAAM,WAAWu6D,EAAE,EAAE,SAAS9D,GAAG9xE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAEumB,EAAE,cAAcxmB,CAAC,EAAE,EAAEwmB,EAAE,oBAAoBvmB,EAAEL,CAAC,EAAE,QAAQ+B,EAAE,EAAEA,EAAEjC,EAAE,OAAOiC,IAAI,CAAC,IAAIC,EAAElC,EAAEiC,GAAG,GAAGC,EAAE,EAAE,MAAM,IAAI,MAAM,+BAA+B,EAAEA,GAAG3B,IAAI,EAAE,EAAE,EAAE2B,IAAI,EAAED,GAAG,EAAEC,IAAI,EAAE,CAAC,OAAO,CAAC,CAAC,SAAS6vE,GAAG/xE,EAAE,EAAEE,EAAEI,EAAE,GAAG,CAAC,IAAIC,EAAEP,EAAE,MAAM,GAAG,EAAEA,EAAE,MAAM,GAAG,EAAEuwB,GAAG,CAAChwB,EAAEL,CAAC,EAAE,EAAE,KAAK,EAAE,QAAQ+B,EAAE,EAAEA,EAAE1B,EAAE0B,IAAI,QAAQC,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIC,EAAEnC,EAAE,IAAIiC,EAAEC,CAAC,EAAE,GAAGC,EAAE,EAAE,MAAM,IAAI,MAAM,+BAA+B,EAAEA,GAAGjC,IAAII,EAAE,EAAE,IAAI,EAAE2B,EAAEE,CAAC,EAAE,EAAE,KAAK,EAAE,EAAE,IAAI,EAAE,IAAIF,EAAEE,CAAC,EAAE,EAAE,IAAIF,EAAEC,CAAC,EAAED,EAAEE,CAAC,EAAE,EAAE,IAAI,EAAE,IAAIF,EAAEE,CAAC,EAAE,EAAEF,EAAEE,CAAC,EAAE,CAAC,OAAO,CAAC,CAAC,SAAS2zE,GAAG91E,EAAE,CAAC,MAAM,CAAC,EAAEE,EAAEI,IAAI,CAAC,IAAIC,EAAEumB,EAAE,uBAAuB5mB,EAAE,EAAE,MAAM,EAAE,QAAQ,EAAE,EAAE,EAAE,EAAE,OAAO,EAAE,EAAEK,EAAE,GAAGP,EAAE,EAAE,GAAGM,CAAC,EAAE,OAAOC,CAAC,CAAC,CAAC,SAASw1E,GAAG/1E,EAAE,EAAEE,EAAE,CAAC,MAAM,CAAC,CAAC,OAAOI,EAAE,MAAMC,EAAE,QAAQ,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,EAAED,EAAE,GAAGmxE,GAAG,EAAEzxE,CAAC,EAAE,EAAE,QAAQ,UAAUE,IAAI,SAAS,MAAM,IAAI,MAAM,sDAAsD,EAAE,IAAI+B,EAAE,EAAEC,EAAED,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOE,EAAE2kB,EAAE,cAAc,EAAE,KAAK,EAAElkB,EAAE1C,GAAG,EAAE,MAAM2C,EAAEikB,EAAE,kBAAkBlkB,EAAET,CAAC,EAAE,QAAQW,EAAE,EAAEA,EAAEX,EAAE,EAAEW,EAAED,EAAEC,GAAG,EAAEZ,EAAEY,GAAGvC,CAAC,EAAE,OAAO0B,EAAE,eAAe,EAAE,MAAMW,EAAEC,CAAC,CAAC,CAAC,CAAC,SAASmzE,GAAGh2E,EAAE,EAAEE,EAAE,CAAC,MAAM,CAAC,CAAC,OAAOI,EAAE,MAAMC,EAAE,QAAQ,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,EAAED,EAAE,GAAGmxE,GAAG,EAAEzxE,CAAC,EAAE,EAAE,QAAQ,UAAUE,IAAI,SAAS,MAAM,IAAI,MAAM,sDAAsD,EAAE,IAAI+B,EAAE,EAAEC,EAAED,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOE,EAAEjC,GAAG,EAAE,MAAM0C,EAAE,EAAEV,EAAEC,EAAE5B,CAAC,EAAE,OAAO0B,EAAE,eAAe,EAAE,MAAME,EAAES,CAAC,CAAC,CAAC,CAAC,IAAIqvE,GAAG6D,GAAG91E,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAEi2E,GAAGD,GAAGt5D,GAAGu1D,EAAE,EAAEiE,GAAG,CAAC,WAAWx5D,GAAG,YAAY,MAAM,WAAWu5D,EAAE,EAAE,SAAS/D,GAAGlyE,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEumB,EAAE,kBAAkB5mB,EAAE4mB,EAAE,cAAc,CAAC,CAAC,EAAE,GAAGxmB,GAAGJ,IAAI,SAAS,CAAC,IAAI,EAAE,EAAEF,EAAE,QAAQ,GAAG,CAAC,IAAIiC,EAAE6kB,EAAE,cAAc,EAAE,KAAK,EAAEvmB,EAAE,IAAI,EAAE,KAAK,CAAC,EAAE,GAAG0B,CAAC,CAAC,CAAC,KAAK,CAAC,IAAI,EAAE,EAAEjC,EAAE,QAAQ,GAAG,CAAC,IAAIiC,EAAE/B,IAAI,SAASs6C,EAAE,uBAAuB,EAAE,IAAI,EAAE,EAAE,KAAKt4C,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAE,MAAM,GAAG,EAAEA,EAAE,CAAC,IAAIS,EAAET,EAAE,EAAE,GAAG,EAAE,QAAQU,EAAE,EAAEA,EAAE,EAAE,MAAM,GAAG,EAAEA,EAAEtC,EAAEqC,EAAEC,GAAGZ,EAAEC,IAAI,CAAC,GAAG,EAAE,MAAM,EAAE,CAAC,CAAC,CAAC,OAAO3B,CAAC,CAAC,IAAI4xE,GAAG4C,GAAG,CAAC/0E,EAAE,IAAIA,IAAI,EAAE,EAAE,CAAC,EAAEm2E,GAAGV,GAAGj3D,GAAG2zD,GAAG,KAAK,MAAM,EAAEiE,GAAG,CAAC,WAAW53D,GAAG,YAAY,MAAM,WAAW23D,EAAE,EAAM/D,GAAG0D,GAAG91E,GAAG,KAAK,IAAIA,CAAC,CAAC,EAAEq2E,GAAGL,GAAGv3D,GAAG2zD,GAAG,SAAS,EAAEkE,GAAG,CAAC,WAAW73D,GAAG,YAAY,MAAM,WAAW43D,EAAE,EAAMhE,GAAGyD,GAAG91E,GAAG,KAAK,MAAMA,CAAC,CAAC,EAAEu2E,GAAGP,GAAGr3D,GAAG0zD,EAAE,EAAEmE,GAAG,CAAC,WAAW73D,GAAG,YAAY,MAAM,WAAW43D,EAAE,EAAMjE,GAAGwD,GAAG91E,GAAG,KAAK,MAAMA,CAAC,CAAC,EAAEy2E,GAAGT,GAAGj3D,GAAGuzD,EAAE,EAAEoE,GAAG,CAAC,WAAW33D,GAAG,YAAY,MAAM,WAAW03D,EAAE,EAAE,SAASlE,GAAGvyE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAE,CAAC,IAAIC,EAAEouB,GAAG,CAACjwB,EAAE,CAAC,EAAEJ,CAAC,EAAE,QAAQ0C,EAAE,EAAEA,EAAEtC,EAAEsC,IAAI,CAAC,IAAIC,EAAE,CAAC,EAAEC,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAExC,EAAEwC,IAAI,CAAC,IAAIC,EAAEhD,EAAE4C,EAAErC,EAAEwC,GAAGD,GAAGE,EAAE,EAAED,GAAGF,EAAE,KAAKG,CAAC,CAAC,CAAC,GAAGF,EAAE,GAAGA,GAAGZ,EAAE,EAAE,MAAM,IAAI,MAAM,oBAAoBW,yBAAyBZ,GAAG,EAAE,QAAQc,EAAE,EAAEA,EAAE,EAAEA,IAAIZ,EAAE,OAAOS,EAAE,EAAEG,GAAG,EAAE,IAAI,GAAG,EAAE,WAAWD,EAAE,EAAEC,CAAC,CAAC,CAAC,CAAC,OAAOZ,CAAC,CAAC,SAASqwE,GAAGxyE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEiwB,GAAGrwB,EAAEF,EAAE,KAAK,EAAE,QAAQO,EAAE,EAAEA,EAAED,EAAE,KAAK,EAAEC,EAAE,CAAC,IAAIyB,EAAE1B,EAAE,WAAWC,CAAC,EAAE,MAAM,EAAE0B,EAAED,EAAE,GAAGE,EAAEF,EAAE,GAAG,EAAE,EAAE,WAAW,CAACC,EAAEC,CAAC,CAAC,EAAEF,EAAE,GAAG,EAAE,OAAO,GAAG,IAAIY,EAAE5C,EAAE,WAAWgC,CAAC,EAAE,GAAGY,GAAGA,EAAE5C,EAAE,OAAO,SAASM,EAAE,OAAOC,GAAGP,EAAE,OAAO4C,GAAG,CAAC,OAAOtC,CAAC,CAAC,IAAIoyE,GAAGqC,GAAG,CAAC/0E,EAAE,IAAIA,EAAE,EAAE,EAAE,CAAC,EAAE22E,GAAGlB,GAAGr2D,GAAGszD,GAAG,KAAK,MAAM,EAAEkE,GAAG,CAAC,WAAWx3D,GAAG,YAAY,MAAM,WAAWu3D,EAAE,EAAMlE,GAAGsC,GAAG,CAAC/0E,EAAE,IAAIA,GAAG,EAAE,EAAE,CAAC,EAAE62E,GAAGpB,GAAGp2D,GAAGozD,GAAG,KAAK,MAAM,EAAEqE,GAAG,CAAC,WAAWz3D,GAAG,YAAY,MAAM,WAAWw3D,EAAE,EAAMjE,GAAGmC,GAAG,CAAC/0E,EAAE,IAAIA,EAAE,EAAE,EAAE,CAAC,EAAE+2E,GAAGtB,GAAG51D,GAAG+yD,GAAG,KAAK,MAAM,EAAEoE,GAAG,CAAC,WAAWn3D,GAAG,YAAY,MAAM,WAAWk3D,EAAE,EAAMpE,GAAGoC,GAAG,CAAC/0E,EAAE,IAAIA,GAAG,EAAE,EAAE,CAAC,EAAEi3E,GAAGxB,GAAG31D,GAAG6yD,GAAG,KAAK,MAAM,EAAEuE,GAAG,CAAC,WAAWp3D,GAAG,YAAY,MAAM,WAAWm3D,EAAE,EAAE,SAASpE,GAAG7yE,EAAE,EAAEE,EAAE,CAAC,IAAII,GAAG,EAAEN,IAAIE,EAAE,GAAGK,EAAEumB,EAAE,oBAAoB5mB,EAAE,SAAS,EAAEK,EAAE,GAAGP,EAAE,QAAQ,EAAE,EAAE,EAAEO,EAAE,OAAO,IAAIA,EAAE,GAAGA,EAAE,EAAE,GAAGD,EAAE,OAAOC,CAAC,CAAC,IAAIuyE,GAAGgD,GAAG91E,GAAG,KAAK,IAAIA,CAAC,CAAC,EAAEm3E,GAAGnB,GAAGh2D,GAAG8yD,EAAE,EAAEsE,GAAG,CAAC,WAAWp3D,GAAG,YAAY,MAAM,WAAWm3D,EAAE,EAAE,SAASpE,GAAG/yE,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEumB,EAAE,uBAAuBxmB,EAAEwmB,EAAE,cAAc5mB,CAAC,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEK,EAAE,OAAO,EAAE,EAAE,CAAC,IAAI,EAAE,EAAE,EAAE0B,EAAEjC,EAAE,GAAG,QAAQkC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAEnC,EAAE,EAAEkC,IAAI,OAAO,MAAMC,CAAC,GAAGA,EAAEF,KAAKA,EAAEE,EAAE,CAAC5B,EAAE,GAAG0B,CAAC,CAAC,OAAO1B,CAAC,CAAC,IAAIyyE,GAAG+B,GAAG,CAAC/0E,EAAE,IAAI,KAAK,IAAIA,EAAE,CAAC,CAAC,EAAEq3E,GAAG5B,GAAG90D,GAAGqyD,EAAE,EAAEsE,GAAG,CAAC,WAAW32D,GAAG,YAAY,MAAM,WAAW02D,EAAE,EAAMpE,GAAG8B,GAAG,CAAC/0E,EAAE,IAAI,KAAK,IAAIA,EAAE,CAAC,CAAC,EAAEu3E,GAAG9B,GAAGt0D,GAAG8xD,EAAE,EAAEuE,GAAG,CAAC,WAAWr2D,GAAG,YAAY,MAAM,WAAWo2D,EAAE,EAAMrE,GAAG6B,GAAG,CAAC/0E,EAAE,IAAIA,EAAE,CAAC,EAAEy3E,GAAG/B,GAAG,CAAC11E,EAAE,EAAEE,EAAEI,KAAK,CAAC,KAAKN,EAAEE,EAAE,EAAEI,EAAE,KAAKN,EAAEM,EAAE,EAAEJ,CAAC,EAAE,EAAEw3E,GAAGjC,GAAGl0D,GAAG2xD,GAAGuE,EAAE,EAAEE,GAAG,CAAC,WAAWp2D,GAAG,YAAY,MAAM,WAAWm2D,EAAE,EAAE,SAASvE,GAAGnzE,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEwmB,EAAE,kBAAkB,GAAG5mB,CAAC,EAAE,OAAOgzE,GAAG,CAAC,EAAE,EAAE5yE,EAAEN,EAAEE,CAAC,CAAC,CAAC,SAAS03E,GAAG53E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,CAAC,EAAE,EAAEmxE,GAAGnxE,EAAE,KAAK,EAAE,IAAIC,EAAEL,EAAE,KAAK,IAAII,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE,CAAC,EAAE6yE,GAAG5yE,EAAED,EAAE,MAAMA,EAAE,KAAK,EAAE,OAAOJ,EAAE,eAAe,EAAEI,EAAE,MAAM,CAAC,CAAC,CAAC,IAAIu3E,GAAG,CAAC,WAAWr2D,GAAG,YAAY,MAAM,WAAWo2D,EAAE,EAAMxE,GAAG2B,GAAG,CAAC/0E,EAAE,IAAIA,IAAI,EAAE,EAAE,CAAC,EAAE83E,GAAGrC,GAAGh0D,GAAG2xD,GAAG,KAAK,MAAM,EAAE2E,GAAG,CAAC,WAAWt2D,GAAG,YAAY,MAAM,WAAWq2D,EAAE,EAAE,SAASnD,GAAG30E,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAE,EAAE,OAAO,EAAEumB,EAAE,cAAc,CAAC,EAAE7kB,EAAE6kB,EAAE,eAAe,CAAC,EAAE5kB,EAAE4kB,EAAE,eAAevmB,CAAC,EAAE4B,EAAE2kB,EAAE,uBAAuB5mB,EAAE4mB,EAAE,cAAcvmB,CAAC,CAAC,EAAE,QAAQqC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAEikB,EAAE,WAAWlkB,EAAE,EAAEX,CAAC,EAAEa,EAAE,IAAI,MAAMD,EAAE,MAAM,EAAE,QAAQG,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAIF,EAAEE,GAAGH,EAAEvC,EAAE0C,IAAI,IAAID,EAAE+jB,EAAE,WAAWhkB,EAAE,EAAEZ,CAAC,EAAEC,EAAEY,GAAG/C,EAAE4C,EAAE,CAAC,OAAOT,CAAC,CAAC,SAAS61E,GAAGh4E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAEL,EAAEuxE,GAAGlxE,EAAE,WAAW,EAAE,IAAI,EAAEA,EAAE,MAAM,OAAO0B,EAAE,IAAI,MAAM,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,IAAIA,EAAE,GAAG1B,EAAE,MAAM,EAAE,IAAI,IAAI2B,EAAE5B,EAAE,KAAK,IAAIC,EAAE,MAAM,EAAE,OAAO4B,EAAEwyE,GAAGzyE,EAAE3B,EAAE,MAAMA,EAAE,MAAM,EAAE0B,CAAC,EAAE,MAAM,CAAC,OAAO3B,EAAE,MAAM6B,EAAEF,EAAE1B,EAAE,KAAK,EAAE,MAAM0B,EAAE,MAAM1B,EAAE,KAAK,CAAC,CAAC,IAAI03E,GAAG,CAAC,WAAW5yD,GAAG,YAAY,MAAM,WAAW2yD,EAAE,EAAE,SAAS3E,GAAGrzE,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAEi6C,EAAE,0BAA0Bx6C,EAAEM,CAAC,EAAE,EAAEqqB,GAAG,EAAE,OAAO,EAAE1oB,EAAE6kB,EAAE,oBAAoBA,EAAE,cAAcvmB,CAAC,EAAE,CAAC,EAAE2B,EAAE4kB,EAAE,cAAc,CAAC,EAAE,QAAQ3kB,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,CAAC,IAAIS,EAAET,EAAED,EAAEW,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAEZ,EAAE,EAAEY,EAAED,GAAG3C,EAAE0C,EAAEE,GAAGb,EAAEE,GAAGU,CAAC,CAAC,MAAM,CAAC,QAAQZ,EAAE,SAAS1B,EAAE,SAAS,CAAC,CAAC,CAAC,SAAS23E,GAAGl4E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAEmxE,GAAGlxE,EAAE,MAAM,EAAE,IAAI0B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE4kB,EAAE,eAAe,EAAEvmB,EAAE,KAAK,EAAE4B,EAAEq4C,EAAE,mBAAmBt4C,EAAED,CAAC,EAAEW,EAAEV,EAAEW,EAAEtC,EAAEuC,EAAE,CAAC,EAAEX,GAAG,OAAOU,EAAEm1E,GAAG,CAAC,OAAO,CAAC,EAAEz3E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAKiC,CAAC,CAAC,CAAC,EAAEW,EAAE,KAAKD,CAAC,EAAED,EAAE43C,EAAE,iBAAiB53C,EAAE,OAAOX,CAAC,GAAG,IAAIc,EAAE7C,EAAE,KAAK,IAAI2C,EAAE,MAAM,EAAE,OAAO,CAAC,QAAQG,EAAE,SAASkB,EAAE,SAAS,CAAC,EAAEmvE,GAAGxwE,EAAE,MAAMA,EAAE,MAAME,EAAEH,CAAC,EAAE2E,EAAErD,EAAE,OAAO,IAAIqD,EAAEizC,EAAE,qBAAqBt2C,EAAEhC,CAAC,GAAGY,EAAE,QAAQiC,GAAG7E,EAAE,8BAA8B6E,CAAC,CAAC,EAAE7E,EAAE,eAAeqH,EAAE,EAAEvE,CAAC,CAAC,CAAC,IAAIm1E,GAAG,CAAC,WAAW/1D,GAAG,YAAY,MAAM,WAAW81D,EAAE,EAAE,SAASE,GAAGp4E,EAAE,EAAEE,EAAE,CAACF,EAAE,QAAQ,CAACM,EAAEC,IAAI,CAAC,GAAGD,EAAE,GAAGA,GAAGJ,EAAE,CAAC,IAAI,EAAE4mB,EAAE,WAAWvmB,EAAE,EAAE,OAAOumB,EAAE,eAAe,CAAC,CAAC,EAAE,KAAK,GAAG,EAAE,MAAM,IAAI,MAAM,WAAW,QAAQxmB,mBAAmBJ,IAAI,CAAC,CAAC,CAAC,CAAC,CAAC,SAASm4E,GAAGr4E,EAAE,EAAE,CAAC,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAEE,GAAGK,EAAEL,IAAIF,EAAE,OAAO,EAAE,EAAEA,EAAEE,EAAE,GAAG,OAAO,GAAGI,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,gCAAgC,EAAE,GAAGA,EAAE,GAAG,EAAE,MAAM,IAAI,MAAM,oCAAoC,EAAE,GAAGA,EAAEA,EAAE,OAAO,GAAGC,EAAE,MAAM,IAAI,MAAM,0CAA0C,EAAE,QAAQ,EAAE,EAAE,EAAED,EAAE,OAAO,EAAE,EAAE,GAAGA,EAAE,EAAE,GAAGA,EAAE,GAAG,MAAM,IAAI,MAAM,iDAAiD,CAAC,CAAC,CAAC,SAASg4E,GAAGt4E,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE,OAAO,EAAEL,EAAE,OAAO+B,EAAE,IAAI,MAAM,CAAC,EAAE,KAAK,IAAI,EAAE,IAAI,IAAI,CAAC,CAAC,CAAC,EAAEo2E,GAAGn4E,EAAEI,CAAC,EAAE,IAAI4B,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAE,EAAEA,EAAE,CAACD,GAAG,EAAEC,GAAG,IAAIS,EAAE,EAAET,EAAE,GAAG,QAAQU,EAAE,EAAEA,EAAEX,EAAE,EAAE,EAAEW,EAAEZ,EAAEE,GAAG,KAAKU,EAAED,CAAC,CAAC,CAAC,QAAQT,EAAE,EAAEA,EAAEnC,EAAE,OAAO,EAAEmC,EAAE,CAAC,IAAIS,EAAE5C,EAAEmC,GAAGU,EAAE7C,EAAEmC,GAAG,EAAE,QAAQW,EAAE,EAAEA,EAAE5C,EAAE,OAAO,EAAE4C,EAAE,CAAC,IAAIC,EAAE7C,EAAE4C,GAAGE,EAAEF,EAAE,EAAE,OAAO,EAAE,GAAGE,GAAG,EAAE,CAAC,IAAIkB,EAAEjC,EAAEe,GAAG,EAAEkB,EAAEA,EAAE,OAAO,GAAGnB,EAAEH,GAAG,QAAQ2E,EAAE3E,EAAE2E,EAAE1E,EAAE,EAAE0E,EAAEtF,EAAEe,GAAG,KAAKD,EAAEwE,EAAE,GAAG,CAAC,CAAC,CAAC3E,EAAEG,EAAEH,GAAGC,EAAEE,EAAEF,EAAE,CAACA,IAAID,IAAIrC,EAAE,KAAK,CAACqC,EAAEC,CAAC,CAAC,EAAE,GAAGA,EAAED,EAAE,CAAC,MAAM,CAAC,UAAUX,EAAE,YAAY1B,EAAE,UAAU,CAAC,CAAC,CAAC,SAASg4E,GAAGv4E,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAEE,GAAG,OAAOK,EAAEumB,EAAE,kBAAkB,QAAQxmB,CAAC,EAAE,EAAE,KAAKC,CAAC,EAAEP,EAAEE,GAAG,QAAQ,CAAC,EAAE,IAAIK,EAAE,GAAG,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,SAASi4E,GAAGx4E,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,MAAM,EAAE,CAAC,EAAE,KAAKE,EAAE,OAAO,GAAGA,EAAE,KAAK,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAEN,EAAE,OAAOM,IAAIJ,EAAE,EAAE,IAAIF,EAAEM,GAAG,OAAOJ,CAAC,CAAC,SAASu4E,GAAGz4E,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEi4E,GAAG,EAAE,CAAC,EAAE,GAAGv2E,EAAEu2E,GAAG,EAAE,CAAC,EAAE,GAAGt2E,EAAE,EAAE,QAAQC,KAAKjC,EAAE,QAAQ0C,EAAET,EAAE,GAAGS,EAAET,EAAE,GAAG,EAAES,EAAE,CAAC,QAAQC,EAAE,EAAEA,EAAEvC,EAAE,EAAEuC,EAAEtC,EAAE2B,EAAED,EAAEY,GAAG7C,EAAE4C,EAAE,EAAEC,GAAG,EAAEX,CAAC,CAAC,CAAC,SAASw2E,GAAG14E,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAE,EAAE,MAAM,EAAE,EAAE,GAAGA,EAAE,IAAI,EAAEumB,EAAE,kBAAkB5mB,EAAE4mB,EAAE,cAAc,CAAC,CAAC,EAAE7kB,EAAEjC,EAAE,OAAOkC,EAAED,IAAI,EAAE,EAAEA,EAAE,EAAE,GAAG,OAAOw2E,GAAGz4E,EAAE,EAAEM,EAAE4B,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,SAASoxE,GAAGtzE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAE,CAAC,GAAGjC,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,sCAAsC,EAAE,GAAG,EAAE,GAAG,SAAS,EAAE,MAAM,IAAI,MAAM,mCAAmC,EAAE,IAAIkC,EAAE,EAAE,GAAG,GAAG,EAAE,GAAGk2E,GAAG,EAAE,EAAEl2E,CAAC,EAAE5B,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,6BAA6B,EAAE,IAAI6B,EAAE7B,EAAE,GAAG,CAAC,UAAUsC,EAAE,YAAYC,EAAE,UAAUC,CAAC,EAAEw1E,GAAG,EAAE,EAAEt4E,EAAEmC,CAAC,EAAEY,EAAEw1E,GAAG31E,CAAC,EAAEI,EAAE01E,GAAGx4E,EAAEI,EAAEC,EAAEsC,EAAEC,CAAC,EAAE,MAAM,CAACC,EAAEC,EAAE,GAAGA,EAAE,EAAE,CAAC,CAAC,IAAI21E,GAAG,WAAW,SAASpF,GAAGvzE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE,CAAC,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,mCAAmC,EAAE,GAAGA,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,mCAAmC,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,mCAAmC,EAAE,IAAI0B,EAAE,EAAE,SAAS,EAAEC,EAAE3B,EAAE,SAAS,EAAE4B,EAAE,EAAE,SAAS,EAAES,EAAE,CAAC,EAAEX,GAAGW,EAAE,KAAK,EAAE,EAAE,EAAEV,GAAGU,EAAE,KAAKrC,EAAE,EAAE,EAAE4B,GAAGS,EAAE,KAAK,EAAE,EAAE,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAE,GAAGA,EAAE,KAAKA,EAAE,EAAE,GAAG,MAAM,IAAI,MAAM,qDAAqD,EAAE,IAAIC,EAAED,EAAE,SAAS,EAAE,EAAEA,EAAE,GAAGE,EAAEgkB,EAAE,kBAAkB,QAAQjkB,EAAE,CAAC,EAAEC,EAAE,GAAG,EAAE,QAAQ,EAAE,EAAE,EAAED,EAAE,EAAE,EAAE,CAAC,IAAI0E,EAAEtF,EAAEjC,EAAE,GAAGA,EAAE,GAAG+E,EAAE7C,EAAE5B,EAAE,GAAGA,EAAE,GAAGqE,EAAExC,EAAE,EAAE,GAAG,EAAE,GAAG,GAAGwC,IAAI,EAAE,MAAM,IAAI,MAAM,qBAAqB,EAAE,IAAIC,EAAE,GAAGD,EAAE,GAAGI,EAAEwC,GAAG5C,EAAE,GAAGI,EAAEwC,EAAE3C,EAAE,UAAUA,EAAE,KAAK,KAAK,KAAK,KAAKG,EAAEwC,GAAG5C,CAAC,CAAC,EAAEC,EAAE+zE,GAAG,MAAM,IAAI,MAAM,yCAAyCA,IAAI,EAAE71E,EAAE,EAAE,GAAGA,EAAE,GAAG8B,CAAC,CAAC,IAAI7B,EAAED,EAAED,GAAGG,EAAE8jB,EAAE,kBAAkB5mB,EAAE6C,CAAC,EAAEmB,EAAE,EAAE,QAAQ,EAAE,EAAE,EAAErB,EAAE,EAAE,EAAE,CAAC,IAAI0E,EAAEzE,EAAE,EAAE,GAAGA,EAAE,GAAGiC,EAAE9C,EAAEjC,EAAE,GAAGA,EAAE,GAAG2E,EAAExC,EAAE,EAAE,GAAG,EAAE,GAAG,QAAQyC,EAAE,EAAEA,EAAE2C,EAAE,EAAE3C,EAAE5B,EAAEkB,KAAKa,EAAEA,GAAGJ,CAAC,CAAC,MAAM,CAAC7B,EAAEE,CAAC,CAAC,CAAC,IAAI41E,GAAGp+B,EAAE,iBAAiBq+B,GAAG,KAAK,CAAC,YAAY/3E,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAEC,EAAEC,EAAE,EAAEU,EAAE,CAAC,KAAK,MAAM9B,EAAE,KAAK,WAAWZ,EAAE,KAAK,OAAO,EAAE,KAAK,YAAYK,EAAE,KAAK,YAAYwB,EAAE,KAAK,aAAaC,EAAE,KAAK,kBAAkBC,EAAE,KAAK,mBAAmBC,EAAE,KAAK,yBAAyB,EAAE,KAAK,kBAAkBs4C,EAAE,2BAA2B53C,CAAC,EAAE,KAAK,WAAW43C,EAAE,cAAc,KAAK,iBAAiB,CAAC,CAAC,+BAA+B15C,EAAE,CAAC,OAAO,KAAK,kBAAkB,KAAK83E,GAAG,eAAe,KAAK,kBAAkB93E,EAAE,GAAG,KAAK,kBAAkBA,EAAE,CAAC,sBAAsBA,EAAE,CAAC,OAAO,KAAK,kBAAkB,KAAK83E,GAAG,eAAe,KAAK,mBAAmB93E,EAAE,GAAG,KAAK,mBAAmBA,EAAE,CAAC,YAAYA,EAAE,CAAC,IAAIZ,EAAE,KAAK,sBAAsBY,EAAE,CAAC,EAAE,OAAO,KAAK,+BAA+BA,EAAE,CAAC,EAAE,CAAC,KAAK83E,GAAG,aAAa,OAAOC,GAAG,sBAAsB34E,CAAC,EAAE,KAAK04E,GAAG,WAAW,OAAOC,GAAG,oBAAoB34E,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,gCAAgC04E,GAAG,KAAK,+BAA+B93E,EAAE,CAAC,IAAI,CAAC,CAAC,CAAC,OAAO,oBAAoBA,EAAE,CAAC,IAAIZ,EAAEY,EAAE,OAAO,GAAGZ,IAAI,GAAGA,IAAI,EAAE,MAAO,GAAE,IAAI,EAAE,EAAE,QAAQK,EAAE,EAAEA,EAAEL,EAAE,EAAE,EAAEK,EAAE,CAAC,IAAIwB,EAAEjB,EAAEP,EAAE,GAAGO,EAAEP,GAAGwB,EAAE,IAAI,EAAEA,EAAE,CAAC,OAAO,CAAC,CAAC,OAAO,sBAAsBjB,EAAE,CAAC,IAAIZ,EAAEY,EAAE,OAAO,GAAGZ,IAAI,EAAE,MAAO,GAAE,IAAI,EAAE,EAAEK,EAAEO,EAAE,GAAGiB,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE9B,EAAE,EAAE8B,EAAE,CAAC,IAAIC,EAAEnB,EAAEkB,GAAGC,IAAI1B,IAAIA,EAAE0B,EAAEF,EAAE,KAAK,IAAIC,EAAE,EAAED,CAAC,EAAE,EAAEC,EAAE,CAAC,OAAO,KAAK,IAAI9B,EAAE,EAAE6B,CAAC,CAAC,CAAC,sBAAsBjB,EAAEZ,EAAE,EAAE,GAAG,CAAC,GAAGA,EAAE,SAAS,EAAE,CAAC,GAAGY,EAAE,KAAK,GAAG,MAAM,CAAC,EAAE,MAAM,IAAI,MAAM,gFAAgF,CAAC,CAAC,OAAOg4E,GAAGh4E,EAAE,CAAC,CAAC,CAAC,oBAAoBA,EAAE,CAAC,IAAIZ,EAAE,KAAK,YAAY,EAAE,KAAK,kBAAkBs6C,EAAE,0BAA0B,EAAEt6C,CAAC,EAAE,IAAIK,EAAE,KAAK,sBAAsB,KAAK,MAAM,KAAK,UAAU,EAAEyB,EAAEw4C,EAAE,kCAAkC,KAAK,WAAWj6C,EAAEL,CAAC,EAAE8B,EAAE,GAAG,IAAIA,EAAE,GAAGlB,GAAG,QAAQmB,EAAE,EAAEA,GAAG,KAAK,WAAW,EAAEA,EAAED,EAAEC,GAAG,IAAID,EAAEC,GAAG,KAAK,YAAYA,CAAC,GAAG,OAAOD,CAAC,CAAC,gCAAgClB,EAAEZ,EAAE,EAAE,CAAC,IAAIK,EAAE,KAAK,IAAIO,EAAE,CAAC,EAAEiB,EAAE,CAAC,EAAEC,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE1B,EAAE,EAAE0B,EAAED,GAAG9B,EAAE6B,EAAE,KAAKC,CAAC,EAAE,QAAQC,EAAE1B,EAAE0B,EAAEnB,EAAE,EAAEmB,EAAEF,EAAE,KAAK,EAAE,EAAE,OAAO+kB,EAAE,OAAO/kB,EAAE,SAASjB,EAAE,IAAI,yDAAyD,EAAEiB,CAAC,CAAC,6BAA6BjB,EAAEZ,EAAE,EAAEK,EAAE,CAAC,IAAIwB,EAAEjB,EAAE,OAAOkB,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEF,EAAE,EAAE,EAAEE,EAAE,CAAC,IAAIC,EAAEpB,EAAEmB,EAAE,GAAGnB,EAAEmB,GAAG,EAAE,KAAK,IAAI1B,EAAE2B,CAAC,EAAEU,EAAE1C,EAAE+B,GAAGW,IAAI,KAAK,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAE,EAAE,EAAE,EAAEZ,EAAE,KAAKY,CAAC,EAAEA,GAAG,EAAE,QAAQ,EAAE,EAAE,EAAEV,EAAE,EAAE,EAAE,EAAEF,EAAE,KAAK,EAAE,CAAC,CAAC,GAAGD,EAAE,GAAGC,EAAE,SAASlB,EAAEiB,EAAE,GAAG,MAAM,IAAI,MAAM,yBAAyB,EAAE,OAAOC,CAAC,CAAC,+BAA+BlB,EAAEZ,EAAE,EAAEK,EAAE,CAAC,IAAIwB,EAAEjB,EAAE,OAAOkB,EAAE,CAAC,EAAE,GAAGD,IAAI,EAAE,MAAM,CAAC,EAAE,IAAIE,EAAE,EAAEC,EAAEpB,EAAE,GAAG,GAAGoB,GAAGhC,EAAE,OAAO,MAAM,IAAI,MAAM,yBAAyBgC,6BAA6BhC,EAAE,QAAQ,EAAE,IAAI,EAAEA,EAAEgC,GAAGF,EAAE,KAAK,CAAC,EAAE,QAAQY,EAAE,EAAEA,EAAEb,EAAE,EAAEa,EAAE,CAAC,IAAI,EAAE9B,EAAE8B,GAAG,GAAG,IAAIV,EAAE,GAAG,IAAI,EAAED,EAAEA,EAAE1B,EAAE,GAAG,EAAE,EAAE,QAAQ,CAAC,GAAG0B,EAAE,EAAEC,EAAE,EAAE,GAAGhC,EAAE,OAAO,MAAM,IAAI,MAAM,sBAAsB,4BAA4BA,EAAE,QAAQ,EAAE,EAAEA,EAAE,EAAE,CAAC8B,EAAE,KAAK,CAAC,CAAC,CAAC,GAAGA,EAAE,SAASlB,EAAE,OAAO,MAAM,IAAI,MAAM,kBAAkB,EAAE,OAAOkB,CAAC,CAAC,qBAAqBlB,EAAEZ,EAAE,EAAEK,EAAE,CAAC,IAAIwB,EAAE,KAAK,sBAAsBjB,CAAC,EAAEkB,EAAE,KAAK,+BAA+BlB,CAAC,EAAE,OAAOkB,EAAE,CAAC,KAAK42E,GAAG,aAAa,OAAO,KAAK,+BAA+B72E,EAAE7B,EAAE,EAAEK,CAAC,EAAE,KAAKq4E,GAAG,WAAW,GAAG72E,EAAE,OAAO,EAAE7B,EAAE,OAAO,MAAM,IAAI,MAAM,mDAAmD6B,EAAE,OAAO,OAAO7B,EAAE,QAAQ,EAAE,OAAO,KAAK,6BAA6B6B,EAAE7B,EAAE,EAAEK,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,+BAA+Bq4E,GAAG52E,IAAI,CAAC,CAAC,CAAC,uBAAuB,CAAC,IAAIlB,EAAE,KAAK,mBAAmB,GAAG,GAAG,KAAK,kBAAkB,SAAS,EAAE,MAAM,IAAI,MAAM,+BAA+B,EAAE,IAAIZ,EAAE,KAAK,kBAAkB,GAAG,OAAOA,EAAE,CAAC,KAAK04E,GAAG,eAAe,OAAO93E,EAAE,GAAG,KAAK83E,GAAG,aAAa,MAAM,IAAI,MAAM,gDAAgD,EAAE,KAAKA,GAAG,WAAW,OAAO,KAAK,yBAAyB,GAAG,GAAG,EAAE,QAAQ,MAAM,IAAI,MAAM,sBAAsBA,GAAG14E,IAAI,CAAC,CAAC,CAAC,SAAS,CAAC,GAAG,KAAK,mBAAmB,GAAG,QAAQ,EAAE,MAAM,IAAI,MAAM,sEAAsE,EAAE,IAAI,EAAE,KAAK,sBAAsB,EAAEI,EAAE,KAAK,oBAAoB,CAAC,EAAEC,EAAE,IAAI,MAAM,KAAK,WAAW,CAAC,EAAEA,EAAEA,EAAE,OAAO,GAAG,EAAE,QAAQ2B,EAAE3B,EAAE,OAAO,EAAE2B,GAAG,EAAE,EAAEA,EAAE3B,EAAE2B,GAAG3B,EAAE2B,EAAE,GAAG5B,EAAE4B,EAAE,GAAG,IAAIH,EAAE+2E,GAAGx4E,EAAE,EAAE,EAAE0B,EAAE8kB,EAAE,kBAAkB,KAAK,YAAYA,EAAE,cAAc/kB,CAAC,CAAC,EAAE,GAAGxB,EAAE,GAAGD,EAAE,GAAG,EAAE,CAAC,IAAI4B,EAAE,KAAK,gCAAgC,EAAE3B,EAAE,GAAGD,EAAE,EAAE,EAAE,QAAQ6B,EAAE,EAAEA,GAAG,KAAK,WAAW,EAAEA,EAAED,EAAE,KAAK,qBAAqBC,EAAE,EAAED,EAAE3B,EAAE4B,GAAG7B,EAAE6B,EAAE,EAAE,KAAK,UAAU,KAAK,WAAWD,EAAEF,EAAED,CAAC,CAAC,CAAC,MAAM,CAACA,EAAEC,CAAC,CAAC,CAAC,UAAUlB,EAAEZ,EAAE,EAAEK,EAAE,CAAC,GAAG,EAAE,SAAS,EAAE,OAAO,IAAIwB,EAAE,KAAK,OAAOC,EAAE,EAAEC,EAAE1B,EAAE,MAAM,EAAE0B,EAAEA,EAAE,MAAMnB,EAAE,CAAC,EAAE,IAAIoB,EAAE4kB,EAAE,cAAc7kB,CAAC,EAAE,EAAE/B,EAAE,OAAO0C,EAAE,KAAK,aAAa,GAAGA,EAAE,SAASV,GAAGU,EAAE,SAAS,EAAE,CAAC,IAAII,EAAE,KAAK,kBAAkBywB,EAAE,IAAI,CAAC,IAAIvvB,EAAEg4B,EAAEt5B,EAAEI,CAAC,EAAEJ,EAAEq7B,GAAG/5B,EAAEjC,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,IAAI,EAAE,EAAEa,EAAE,EAAEC,EAAE,EAAE,QAAQC,EAAE,EAAEA,GAAG,EAAE,EAAEA,EAAE,CAAC,IAAIkB,EAAElB,EAAE,EAAE9C,EAAE8C,GAAG,GAAG,GAAGkB,IAAInB,EAAE,CAAC,EAAEA,EAAE,QAAQ,CAAC,GAAGD,EAAEC,EAAE,CAAC,IAAIoB,EAAEpC,EAAE,SAAS,EAAEG,CAAC,EAAEqF,EAAEvF,EAAE,SAASc,EAAEZ,CAAC,EAAE,GAAGa,EAAED,GAAGZ,EAAE62E,GAAGxxE,EAAEpD,EAAE,CAAC,CAAC,CAAC,GAAGnB,GAAG,EAAE,CAAC,IAAImB,EAAE,EAAE,OAAOD,EAAE,KAAK,MAAMC,EAAEjC,CAAC,CAAC,CAAC,GAAGgC,EAAEnB,EAAE,GAAG,KAAK,aAAa,SAAS,EAAEf,EAAE,SAASe,EAAEb,EAAEgC,EAAEhC,CAAC,EAAE,KAAK,KAAK,aAAa,EAAE,EAAEa,EAAEmB,MAAO,MAAKA,EAAEnB,GAAG,CAAC,IAAIoB,EAAEnC,EAAE,MAAMe,EAAEb,CAAC,EAAE62E,GAAG50E,EAAEvB,EAAEV,CAAC,EAAE,EAAEa,CAAC,CAACmB,EAAE,GAAG,EAAElB,EAAE,EAAEF,EAAEC,IAAI,EAAEC,EAAEF,EAAEC,EAAEA,EAAED,EAAE,EAAE,CAAC,CAAC,EAAE,SAASi2E,GAAG/4E,EAAE,EAAEE,EAAE,CAAC,QAAQI,EAAE,EAAEA,EAAEJ,EAAEI,IAAIN,EAAEM,GAAG,EAAEA,EAAE,CAAC,SAASw4E,GAAG94E,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQI,KAAKN,EAAE,CAAC,GAAGM,EAAE,EAAE,CAAC,GAAG,CAAC,EAAE,MAAM,IAAI,MAAM,aAAaA,gBAAgB,EAAE,GAAGA,EAAE,GAAG,MAAM,IAAI,MAAM,aAAaA,iBAAiB,EAAEA,EAAE,EAAE,CAACJ,EAAE,KAAKI,CAAC,CAAC,CAAC,OAAOJ,CAAC,CAAC,SAASszE,GAAGxzE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAE,CAAC,OAAO,IAAI02E,GAAG74E,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,CAAC,EAAE,QAAQ,CAAC,CAAC,SAASsxE,GAAGzzE,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEP,IAAI,EAAE,EAAEA,EAAE,GAAGE,EAAE,EAAE,EAAE,EAAEF,GAAGE,EAAE,EAAE,GAAGK,GAAG,GAAG,EAAE,OAAOumB,EAAE,oBAAoB,EAAExmB,CAAC,EAAE,IAAI2B,EAAE,KAAK,IAAI,KAAK,MAAM,EAAEjC,GAAGE,CAAC,CAAC,EAAEgC,EAAE4kB,EAAE,oBAAoB7kB,EAAE3B,CAAC,EAAE,EAAEN,GAAGE,IAAI,IAAIA,EAAE,IAAIgC,EAAE,GAAGlC,EAAE,QAAQmC,EAAE,EAAEA,EAAED,EAAE,OAAOC,IAAID,EAAEC,GAAGD,EAAEC,EAAE,GAAGjC,EAAE,OAAOgC,CAAC,CAAC,IAAIwxE,GAAGoC,GAAG91E,GAAG,EAAE,KAAK,KAAKA,CAAC,CAAC,EAAEg5E,GAAGhD,GAAG5yD,GAAGswD,EAAE,EAAEuF,GAAG,CAAC,WAAW71D,GAAG,YAAY,MAAM,WAAW41D,EAAE,EAAE,SAASrF,GAAG3zE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAE,CAAC,IAAIS,EAAE,CAACtC,EAAEC,EAAEA,CAAC,EAAEsC,EAAE7C,EAAE,OAAO8C,EAAE,EAAE,OAAO,GAAGxC,IAAI,EAAE,OAAOiwB,GAAGrwB,EAAE,EAAE,KAAK,EAAE,IAAI6C,EAAEwtB,GAAG3tB,EAAE,EAAE,KAAK,EAAE,OAAOV,GAAG,UAAU,OAAOA,GAAG,SAASa,EAAE,OAAO,KAAKb,CAAC,EAAE,OAAOA,GAAG,WAAWa,EAAE,OAAO,KAAK,CAACb,CAAC,EAAE,QAAQc,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIkB,EAAE,CAAC,EAAE,EAAE,EAAE,QAAQqD,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIxC,EAAElC,EAAEG,EAAE,EAAEuE,GAAGrD,EAAE,KAAKa,CAAC,EAAE,GAAGA,EAAE9C,EAAEsF,EAAE,CAAC,GAAG,EAAE,GAAG,GAAGjH,EAAEC,EAAE,MAAM,IAAI,MAAM,oBAAoB2D,yBAAyBhE,GAAG,EAAE,QAAQqH,EAAE,EAAEA,EAAEhH,EAAEgH,IAAIpF,EAAEY,EAAE,OAAO,EAAExC,EAAEgH,IAAIzE,EAAEE,EAAEzC,EAAEgH,GAAGxE,EAAE,OAAO,EAAExC,EAAEgH,GAAG,EAAE,OAAO,EAAEzE,EAAE,GAAGA,EAAEE,EAAEzC,EAAEgH,EAAE,CAAC,OAAOxE,CAAC,CAAC,IAAI6wE,GAAGkC,GAAG91E,GAAG,GAAG,EAAE,KAAK,IAAI,CAACA,CAAC,EAAE,EAAEk5E,GAAGnD,GAAGlyD,GAAG7jB,GAAG,GAAG,EAAE,KAAK,IAAI,CAACA,CAAC,EAAE,EAAEm5E,GAAG,CAAC,WAAWt1D,GAAG,YAAY,MAAM,WAAWq1D,EAAE,EAAE,SAASpF,GAAG9zE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAE61B,GAAG,iBAAiB91B,EAAE,EAAEJ,CAAC,EAAE,EAAE4mB,EAAE,cAAc5mB,CAAC,EAAE+B,EAAE6kB,EAAE,eAAexmB,CAAC,EAAE,GAAG,EAAE,CAAC,IAAIuC,EAAEuzB,GAAG,kBAAkB,EAAEn0B,CAAC,EAAE,OAAO1B,IAAI,SAASP,EAAE,MAAM6C,EAAEA,EAAE,CAAC,EAAE7C,EAAE,SAAS6C,EAAEA,EAAE,CAAC,CAAC,CAAC,IAAIX,EAAE3B,IAAI,SAASi6C,EAAE,uBAAuBx6C,CAAC,EAAEA,EAAEmC,EAAEouB,GAAGjwB,EAAEC,EAAE2B,CAAC,EAAEU,EAAE2tB,GAAGrwB,EAAEK,CAAC,EAAE,QAAQsC,EAAE,EAAEA,EAAED,EAAE,KAAK,EAAEC,EAAE,CAAC,IAAIC,EAAEF,EAAE,WAAWC,CAAC,EAAEE,EAAED,EAAE,IAAI,CAACE,EAAEkB,IAAIlB,EAAE,EAAEkB,EAAE,EAAEtB,EAAE,IAAIT,EAAE,IAAI,GAAGY,CAAC,EAAE,GAAGD,CAAC,CAAC,CAAC,OAAOvC,IAAI,SAASi6C,EAAE,uBAAuB53C,EAAE,MAAM,EAAEA,EAAE,MAAM,CAAC,SAASw2E,GAAGp5E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,KAAK,CAAC,EAAED,EAAEmxE,GAAGlxE,EAAE,OAAO,EAAE,GAAG,CAAC0B,EAAEC,CAAC,EAAEk0B,GAAG,iBAAiB71B,EAAE,EAAE,CAAC,EAAE61B,GAAG,kBAAkB71B,EAAE0B,EAAEC,CAAC,EAAE,IAAIC,EAAEjC,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOqC,EAAEkxE,GAAG3xE,EAAEF,EAAEC,EAAE3B,EAAE,MAAMA,EAAE,KAAK,EAAE,OAAOL,EAAE,eAAegC,EAAE3B,EAAE,MAAMqC,CAAC,CAAC,CAAC,IAAIy2E,GAAG,CAAC,WAAW51D,GAAG,YAAY,MAAM,WAAW21D,EAAE,EAAE,SAASrF,GAAG/zE,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE,CAAC,IAAI0B,EAAE,EAAE,GAAGC,EAAE,EAAE,GAAGC,EAAE,IAAI,MAAMD,CAAC,EAAEU,EAAE,IAAI,MAAMX,CAAC,EAAEY,EAAE,EAAE,GAAG,GAAGX,IAAI,EAAE,CAAC,GAAGD,IAAI,EAAE,MAAM,IAAI,MAAMu4C,EAAE,gDAAgDv4C,CAAC,CAAC,EAAE,IAAI,EAAE6kB,EAAE,kBAAkB5mB,EAAE,CAAC,EAAEqH,EAAEuf,EAAE,kBAAkBvmB,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,CAAC,EAAEsC,CAAC,EAAE0E,EAAEpF,EAAES,CAAC,CAAC,CAAC,IAAIE,EAAE,GAAGC,EAAE,EAAEC,EAAE,IAAI,MAAMd,CAAC,EAAE,KAAK,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAED,EAAE,EAAE,EAAE,CAAC,IAAIsF,EAAEvH,EAAE,EAAE6C,GAAG,GAAG0E,EAAE,EAAE,MAAM,IAAI,MAAMizC,EAAE,gDAAgD,EAAEjzC,CAAC,CAAC,EAAE,GAAGA,GAAGrF,EAAE,MAAM,IAAI,MAAMs4C,EAAE,kDAAkD,EAAEjzC,EAAErF,CAAC,CAAC,EAAE,EAAEc,EAAEuE,GAAGzE,EAAEA,GAAGyE,GAAGxE,EAAEA,EAAEwE,CAAC,CAAC,IAAIrD,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAEhC,EAAE,EAAE,EAAE,CAAC,IAAIqF,EAAEvE,EAAE,KAAK,EAAEb,EAAE,GAAGoF,EAAErD,EAAEA,GAAG,CAACqD,EAAEvE,EAAE,GAAG,KAAK,IAAIA,EAAE,GAAG,CAAC,EAAE,EAAE,IAAIA,EAAE,IAAIA,EAAE,EAAE,GAAG,CAAC,GAAGkB,GAAGpB,EAAE,CAAC,IAAI,EAAE9C,EAAEuH,EAAEjH,EAAE,QAAQyE,EAAE,EAAEA,EAAE9C,EAAE,EAAE8C,EAAEnC,EAAEmC,GAAGA,EAAE,MAAM,CAAC,EAAE,CAAC9C,EAAEY,CAAC,EAAE0E,EAAEpF,EAAES,CAAC,CAAC,KAAK,CAAC,IAAI,EAAEI,EAAEd,EAAE,GAAGqF,EAAEuf,EAAE,kBAAkB5mB,EAAE,EAAE2C,CAAC,EAAEkC,EAAE+hB,EAAE,kBAAkBvmB,EAAE,CAAC,EAAEoE,EAAE,IAAI,MAAMzC,CAAC,EAAE,KAAK,CAAC,EAAE,QAAQ0C,EAAE,EAAEA,EAAE3C,EAAE,EAAE2C,EAAE,CAAC,IAAIC,EAAE7E,EAAE4E,EAAE/B,GAAGiC,EAAEH,EAAEE,GAAG2C,GAAG3C,IAAI,EAAE,EAAE7B,EAAE6B,EAAE,IAAIC,EAAEH,EAAEE,KAAK,QAAQG,EAAE,EAAEA,EAAEnC,EAAE,EAAEmC,EAAEuC,EAAEC,EAAE3E,EAAEmC,GAAGhF,EAAE4E,EAAE/B,EAAEmC,GAAGD,EAAEyC,GAAGlH,EAAEsE,GAAGhC,EAAEgC,GAAG4C,CAAC,CAAC,QAAQ5C,EAAE,EAAEA,EAAE1C,EAAE,EAAE0C,EAAE,GAAGD,EAAEC,KAAK,EAAE,CAAC,IAAIE,EAAEF,IAAI,EAAE,EAAE5B,EAAE4B,EAAE,GAAG2C,EAAEzC,EAAEjC,EAAE,GAAG+B,EAAE,QAAQ4C,EAAE,EAAEA,EAAE3E,EAAE,EAAE2E,EAAED,EAAEzC,EAAEjC,EAAE2E,GAAG,EAAEzC,EAAED,GAAG,CAAC,CAAC,MAAM,CAACyC,EAAE,CAAC,EAAE1E,CAAC,EAAEkC,EAAE5C,EAAES,CAAC,CAAC,CAAC,CAAC,SAASoxE,GAAGh0E,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAEumB,EAAE,cAAcxmB,CAAC,EAAE,EAAE,EAAE,GAAG2B,EAAE1B,EAAE,OAAO2B,EAAE,CAAC,EAAEC,EAAE,EAAES,EAAE,GAAG,QAAQuB,EAAE,EAAEA,EAAElC,EAAE,EAAEkC,EAAE,CAAC,IAAIoD,EAAEhH,EAAE4D,GAAG,GAAGoD,IAAI,GAAG,CAAC,GAAG3E,IAAI,GAAG,MAAM,IAAI,MAAM43C,EAAE,yDAAyD53C,EAAEuB,CAAC,CAAC,EAAEvB,EAAEuB,EAAEjC,EAAE,KAAK,CAAC,CAAC,KAAK,CAAC,GAAGqF,EAAE,EAAE,MAAM,IAAI,MAAMizC,EAAE,8CAA8Cr2C,EAAEoD,CAAC,CAAC,EAAEpF,GAAGoF,EAAErF,EAAE,KAAKqF,CAAC,CAAC,CAAC,CAAC,GAAG3E,IAAI,GAAG,CAAC,GAAGT,GAAG,EAAE,MAAM,IAAI,MAAMq4C,EAAE,qDAAqD,CAAC,EAAE,IAAIr2C,EAAE,KAAK,MAAM,EAAEhC,CAAC,EAAE,GAAGA,EAAEgC,IAAI,EAAE,MAAM,IAAI,MAAMq2C,EAAE,gDAAgDl6C,EAAE4B,CAAC,CAAC,EAAEA,EAAEU,GAAGuB,CAAC,CAAC,GAAG2iB,EAAE,cAAc5kB,CAAC,IAAI,EAAE,MAAM,IAAI,MAAMs4C,EAAE,gDAAgDl6C,EAAE4B,CAAC,CAAC,EAAE,IAAIY,EAAExC,EAAE,OAAOyC,EAAE,CAAC,EAAE,GAAGD,EAAE,EAAE,CAACC,EAAED,EAAE,GAAG,EAAE,QAAQqB,EAAErB,EAAE,EAAEqB,GAAG,EAAE,EAAEA,EAAEpB,EAAEoB,GAAGpB,EAAEoB,EAAE,GAAG7D,EAAE6D,EAAE,EAAE,CAAC,IAAInB,EAAE,CAAC,EAAE,GAAGf,EAAE,EAAE,CAACe,EAAEf,EAAE,GAAG,EAAE,QAAQkC,EAAElC,EAAE,EAAEkC,GAAG,EAAE,EAAEA,EAAEnB,EAAEmB,GAAGnB,EAAEmB,EAAE,GAAGjC,EAAEiC,EAAE,EAAE,CAAC,IAAID,EAAE4iB,EAAE,kBAAkB5mB,EAAE,EAAE+B,CAAC,EAAE,QAAQkC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIoD,EAAE,EAAE,QAAQ,EAAE,EAAE,EAAEzE,EAAE,EAAE,EAAEyE,GAAGvH,EAAEmE,EAAErB,EAAE,GAAGC,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAEd,EAAE,EAAE,EAAEiC,EAAEC,EAAElC,EAAE,GAAG,KAAK,MAAMsF,EAAEvE,EAAE,EAAE,EAAEuE,GAAGvE,EAAE,EAAE,CAAC,MAAM,CAACkB,EAAE,CAAC,EAAEjC,CAAC,EAAEC,CAAC,CAAC,CAAC,SAAS+xE,GAAGj0E,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,GAAG,EAAE,EAAE,CAAC,IAAI0B,EAAE3B,EAAE,OAAO4B,EAAE,CAAC,EAAE,GAAGlC,EAAE,OAAO,EAAE,EAAE,EAAEmC,EAAED,EAAE,GAAG,EAAED,EAAE,EAAE1B,EAAE0B,EAAE,GAAG,EAAE,EAAE,GAAG,EAAE,EAAE,MAAM,IAAI,MAAMu4C,EAAE,wDAAwD,CAAC,EAAE,IAAI13C,EAAE,EAAE,MAAM,EAAEA,EAAE,GAAG,EAAE,IAAIC,EAAED,EAAE,OAAO,CAAC6B,EAAEC,IAAID,EAAEC,EAAE,CAAC,EAAE5B,EAAE8jB,EAAE,kBAAkB5mB,EAAE6C,CAAC,EAAE,GAAGd,IAAI,EAAE,OAAO,EAAE,GAAGe,EAAE,KAAK,CAAC,EAAE,CAACA,EAAEF,CAAC,EAAE,GAAG,GAAG,EAAE,MAAM,IAAI,MAAM03C,EAAE,wDAAwD,CAAC,EAAE,IAAIt2C,EAAE,EAAEC,EAAE,EAAEoD,EAAE,EAAE,EAAEhH,EAAE2D,GAAG,OAAO,CAAC,IAAIS,EAAE,EAAE,GAAGR,EAAElC,EAAE,CAAC,GAAG0C,EAAEpE,EAAE4D,GAAG,IAAIQ,EAAE,CAAC,EAAER,EAAE,QAAQ,CAAC,GAAG,GAAGQ,EAAE,MAAM,IAAI,MAAM61C,EAAE,6DAA6D,CAAC,CAAC,CAAC,GAAG,EAAE,GAAG,GAAG,EAAE,MAAM,IAAI,MAAMA,EAAE,yDAAyD,EAAE,CAAC,CAAC,EAAE,EAAEjzC,GAAGvE,EAAE,KAAK,EAAEuE,EAAEpF,EAAE,EAAEA,CAAC,EAAE,QAAQyC,EAAEV,EAAEU,EAAET,EAAE,EAAES,EAAE,CAAC,IAAIC,EAAEvE,EAAEsE,GAAG,GAAGC,EAAE,GAAGA,GAAG3C,EAAE,GAAG,MAAM,IAAI,MAAMs4C,EAAE,uDAAuD51C,EAAEtE,EAAEsE,GAAG1C,EAAE,EAAE,CAAC,EAAE,QAAQ4C,EAAE,EAAEA,EAAE3C,EAAE2C,IAAI9B,EAAE,EAAEb,EAAE2C,IAAI9E,EAAE6E,EAAE1C,EAAE2C,EAAE,CAAC,GAAG,EAAE,QAAQF,EAAE,EAAEA,EAAEzC,EAAEyC,IAAI5B,EAAE,EAAEb,EAAEyC,IAAIT,EAAED,EAAE,GAAGA,EAAEC,EAAE,EAAEA,EAAEoD,EAAE,EAAE,EAAE,EAAE5C,EAAER,EAAElC,EAAE,KAAK,CAAC,OAAOsF,EAAE,GAAGvE,EAAE,KAAK,EAAEuE,EAAEpF,EAAE,EAAEA,CAAC,EAAE,CAACa,EAAEF,CAAC,CAAC,CAAC,IAAIoxE,GAAG4B,GAAG91E,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAEs5E,GAAGvD,GAAGhyD,GAAG/jB,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAEu5E,GAAG,CAAC,WAAWx1D,GAAG,YAAY,MAAM,WAAWu1D,EAAE,EAAMnF,GAAGY,GAAG,CAAC/0E,EAAE,IAAI,CAAC,IAAIE,EAAEF,EAAE,EAAE,OAAOE,EAAEA,CAAC,CAAC,EAAEs5E,GAAG/D,GAAGhxD,GAAG0vD,EAAE,EAAEsF,GAAG,CAAC,WAAWh1D,GAAG,YAAY,MAAM,WAAW+0D,EAAE,EAAE,SAASpF,GAAGp0E,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEgwB,GAAGvwB,EAAE,EAAE,KAAK,EAAE,QAAQ,EAAE,EAAE,EAAEO,EAAE,KAAK,IAAI,CAAC,IAAI,EAAEA,EAAE,WAAW,CAAC,EAAE0B,EAAE,IAAI,MAAM,EAAE,MAAM,EAAE,QAAQC,EAAE,EAAEA,EAAED,EAAE,OAAOC,IAAID,EAAEC,GAAG,EAAEA,GAAGhC,EAAEgC,GAAG5B,EAAE4B,GAAG3B,EAAE,IAAI,EAAE,IAAI,GAAG0B,CAAC,EAAE,GAAG,CAAC,CAAC,CAAC,OAAO1B,CAAC,CAAC,IAAIm5E,GAAG,KAAK,CAAC,YAAY54E,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAE,CAAC,KAAK,UAAU8kB,EAAE,aAAahmB,CAAC,EAAE,KAAK,YAAYZ,EAAE,KAAK,QAAQ4mB,EAAE,aAAa,CAAC,EAAE,KAAK,SAASA,EAAE,aAAavmB,CAAC,EAAE,KAAK,SAASwB,EAAE,KAAK,cAAcC,CAAC,CAAC,YAAYlB,EAAE,CAAC,OAAO,KAAK,IAAI,KAAK,SAAS,EAAEA,EAAE,EAAE,KAAK,SAASA,EAAE,CAAC,CAAC,CAAC,aAAaA,EAAEZ,EAAE,CAAC,IAAI,EAAE,KAAK,YAAYA,CAAC,EAAE,OAAO,KAAK,IAAI,EAAEY,EAAE,EAAE,EAAEZ,EAAE,CAAC,CAAC,CAAC,aAAaY,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAE,CAAC,QAAQC,EAAE,EAAEA,EAAEF,EAAE,EAAEE,EAAE,CAAC,IAAIC,EAAE,KAAK,YAAYF,CAAC,EAAE,EAAE,KAAK,IAAI,EAAEE,EAAED,CAAC,EAAEW,EAAE,KAAK,IAAI,EAAEV,GAAGH,GAAGE,EAAE,GAAG,EAAE,EAAED,GAAG,EAAEY,GAAGE,EAAE5C,GAAG,EAAE,EAAE,EAAE+B,EAAEC,GAAGa,EAAE,EAAEA,GAAG,EAAE,KAAK,QAAQ,OAAO,QAAQgC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAEhC,GAAGjC,EAAEgC,EAAEiC,GAAG,OAAOhC,GAAGH,EAAE,KAAK,SAAS,OAAOG,IAAI,EAAEH,EAAE,EAAE,GAAG,KAAK,UAAU,OAAO,EAAErC,EAAE0B,GAAG,IAAI,WAAWc,CAAC,EAAE,IAAI,EAAE,EAAExC,EAAE0B,GAAGkC,EAAE,EAAEoD,EAAExC,GAAGA,EAAE,QAAQJ,GAAG,EAAER,KAAKQ,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAEwC,EAAE,KAAK,OAAO,EAAEA,EAAE,KAAK,SAAS,EAAE,QAAQxC,EAAE,EAAEA,EAAE,EAAE,EAAE,EAAEA,EAAEwC,EAAEzG,EAAEgC,EAAEiC,EAAE,EAAEwC,EAAE,KAAK,SAAS,EAAE,GAAG,EAAE,EAAE,CAACA,EAAEzG,EAAEgC,EAAE,EAAE,EAAE,EAAE,QAAQiC,EAAE,EAAEA,EAAEnC,EAAE,EAAEmC,EAAEwC,EAAE,KAAK,SAAS,EAAEA,EAAE,KAAK,QAAQ,CAAC,KAAK,CAAC,QAAQxC,EAAE,EAAEA,EAAEnC,EAAE,EAAE,EAAEmC,EAAEwC,EAAE,KAAK,QAAQ,EAAEA,EAAE,KAAK,SAAS,EAAEA,EAAE,KAAK,QAAQ,CAAC,CAAC,CAAC,CAAC,QAAQzG,EAAEZ,EAAE,CAAC,IAAI,EAAEY,EAAE,OAAOP,EAAEL,EAAE,OAAO,GAAGK,EAAE,EAAE,CAAC,IAAI2B,EAAEhC,EAAE,GAAG,GAAGgC,IAAI,EAAE,MAAM,IAAI,MAAM,oCAAoCA,GAAG,EAAE,QAAQ,EAAE,EAAE,EAAE3B,EAAE,EAAE,EAAE,CAAC,IAAIqC,EAAE1C,EAAE,IAAIgC,EAAE,GAAGU,EAAEA,GAAG1C,EAAE,IAAI,EAAE,CAAC0C,EAAE,MAAM,IAAI,MAAM,uBAAuB1C,EAAE,mBAAmBgC,MAAM,IAAI,EAAEA,EAAEhC,EAAE,EAAE,CAAC,GAAGgC,IAAI,EAAE,MAAM,IAAI,MAAM,gDAAgD,UAAUA,GAAG,CAAC,CAAC,IAAIH,EAAExB,EAAE,EAAEyB,EAAE8kB,EAAE,kBAAkB,QAAQvmB,CAAC,EAAE,GAAG,IAAI,GAAGA,IAAI,EAAE,CAAC,IAAI2B,EAAE,IAAI,MAAM,CAAC,EAAE,QAAQ,EAAE,EAAE,GAAGH,EAAE,EAAE,EAAEC,EAAE,GAAG,EAAE,MAAM,CAACE,EAAEF,CAAC,CAAC,CAACA,EAAE,GAAG,EAAE,QAAQE,EAAE,EAAEA,GAAGH,EAAE,EAAEG,EAAE,CAAC,IAAI,EAAEhC,EAAEgC,GAAGhC,EAAEgC,EAAE,GAAGU,EAAE,EAAE,KAAK,YAAY,QAAQ,GAAG,CAACA,GAAG,KAAK,aAAa,EAAE,CAAC,CAAC,CAAC,EAAE,KAAK,eAAe,EAAE,GAAGA,IAAI,IAAIA,EAAE,GAAGZ,EAAEE,GAAGF,EAAEE,EAAE,GAAGU,CAAC,CAAC,IAAIX,EAAE,IAAI,MAAMD,EAAED,EAAE,EAAE,QAAQG,EAAE,EAAEA,EAAEH,EAAE,EAAEG,EAAE,CAAC,IAAI,EAAEhC,EAAEgC,GAAGU,EAAEZ,EAAEE,GAAG,GAAG,KAAK,YAAY,QAAQ,GAAG,CAAC,IAAIY,EAAE5C,EAAEgC,EAAE,GAAGhC,EAAEgC,GAAGa,EAAE,KAAK,aAAaD,EAAE,CAAC,EAAE,KAAK,aAAahC,EAAE,EAAEmB,EAAEW,EAAEG,EAAE,CAAC,EAAEH,GAAGG,CAAC,CAAC,EAAE,KAAK,eAAeH,IAAIZ,EAAEE,GAAG,CAAC,IAAI,EAAEhC,EAAEgC,EAAE,GAAGhC,EAAEgC,GAAG,GAAG,IAAI,EAAE,SAAS,IAAIY,EAAE,EAAE,EAAE,KAAK,SAASC,EAAE,EAAE,KAAK,aAAajC,EAAE,EAAEmB,EAAEW,EAAEG,EAAED,CAAC,CAAC,CAAC,CAAC,MAAM,CAACb,EAAED,CAAC,CAAC,CAAC,EAAE,SAASqyE,GAAGr0E,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAE,CAAC,OAAO,IAAIy3E,GAAGx5E,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,CAAC,EAAE,QAAQjC,EAAE,CAAC,CAAC,CAAC,SAAS25E,GAAG35E,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAG,CAACN,EAAE,OAAO,OAAO,GAAG,EAAE,SAAS,EAAE,CAAC,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEM,EAAE,KAAKN,EAAE,SAAS,EAAE,EAAE,CAAC,CAAC,EAAE,MAAM,CAAC,GAAG,EAAE,SAAS,EAAE,CAAC,IAAI,EAAE,EAAE,GAAG,EAAEA,EAAE,QAAQ,CAAC,EAAE,KAAK,IAAI,IAAI,CAAC,IAAIiC,EAAEjC,EAAE,SAAS,EAAE,CAAC,GAAG,CAACE,GAAG+B,EAAE,SAAS,IAAI3B,EAAE,KAAK2B,CAAC,EAAEjC,EAAEA,EAAE,SAAS,EAAE,CAAC,EAAE,EAAEA,EAAE,QAAQ,CAAC,CAAC,EAAE,CAACE,GAAGF,EAAE,SAAS,IAAIM,EAAE,KAAKN,CAAC,EAAE,MAAM,CAAC,IAAIO,EAAE,EAAE,QAAQ,EAAE,EAAE,EAAEP,EAAE,OAAO,EAAE,IAAI,GAAG,IAAIA,EAAE,QAAQ,EAAE,QAAQA,EAAE,EAAE,IAAI,GAAG,CAAC,IAAI,EAAEA,EAAE,SAASO,EAAE,CAAC,GAAG,CAACL,GAAG,EAAE,SAAS,IAAII,EAAE,KAAK,CAAC,EAAEC,EAAE,EAAE,CAAC,CAAC,CAAC,SAAS+zE,GAAGt0E,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,OAAOO,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE0B,EAAE,IAAI,MAAM3B,CAAC,EAAE,QAAQwC,EAAE,EAAEA,EAAExC,EAAE,EAAEwC,EAAE,CAAC,IAAIC,EAAExC,EAAE,OAAOo5E,GAAG35E,EAAE8C,GAAG,EAAE5C,EAAEK,CAAC,EAAE,IAAIyC,EAAEzC,EAAE,OAAOwC,EAAEd,EAAEa,GAAGE,EAAE,GAAGA,EAAE,EAAE,KAAK,IAAI,EAAEA,CAAC,CAAC,CAAC,IAAId,EAAE4kB,EAAE,kBAAkB,QAAQ,EAAE,CAAC,EAAE3kB,EAAE,IAAI,MAAM,CAAC,EAAES,EAAE,CAACtC,EAAE,CAAC,EAAEuC,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAExC,EAAE,EAAEwC,EAAE,QAAQC,EAAE,EAAEA,EAAEd,EAAEa,GAAG,EAAEC,EAAEb,EAAEW,EAAE,GAAGC,EAAEZ,EAAEW,EAAE,EAAE,GAAGE,EAAEZ,EAAEU,GAAGtC,EAAEsC,GAAG,EAAEA,EAAE,MAAM,CAACX,EAAEC,EAAES,CAAC,CAAC,CAAC,SAAS2xE,GAAGv0E,EAAE,EAAE,CAAC,IAAIE,EAAE4mB,EAAE,kBAAkB,QAAQ9mB,EAAE,MAAM,EAAE,QAAQM,EAAE,EAAEA,EAAEN,EAAE,OAAO,EAAEM,EAAEJ,EAAEI,GAAGwmB,EAAE,cAAc9mB,EAAEM,EAAE,EAAE,OAAO,CAAC,EAAE,mBAAmB,EAAE,OAAOJ,CAAC,CAAC,IAAIs0E,GAAGO,GAAG,CAAC/0E,EAAE,IAAIA,EAAE,CAAC,EAAE45E,GAAGlE,GAAG,CAAC11E,EAAE,EAAEE,EAAEI,KAAK,CAAC,KAAKN,EAAEE,EAAE,KAAK,EAAEI,CAAC,EAAE,EAAEu5E,GAAGpE,GAAG1wD,GAAGyvD,GAAGoF,EAAE,EAAEE,GAAG,CAAC,WAAW/0D,GAAG,YAAY,MAAM,WAAW80D,EAAE,EAAE,SAASpF,GAAGz0E,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,MAAMF,EAAE,IAAI,EAAE,QAAQO,EAAE,EAAEA,EAAEL,EAAE,OAAOK,IAAIL,EAAEK,GAAGP,EAAE,MAAMO,GAAG,EAAEA,GAAG,IAAID,EAAEiwB,GAAGrwB,EAAEF,EAAE,KAAK,EAAE,QAAQO,EAAE,EAAEA,EAAED,EAAE,OAAO,OAAO,EAAEC,EAAE,CAAC,IAAI,EAAED,EAAE,WAAWC,CAAC,EAAE,EAAE,IAAI,MAAMP,EAAE,IAAI,EAAE,QAAQkC,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,EAAEA,GAAG,EAAEA,GAAGlC,EAAE,MAAMkC,GAAG,IAAID,EAAEjC,EAAE,WAAW,CAAC,EAAEM,EAAE,OAAOC,GAAGP,EAAE,OAAOiC,EAAE,CAAC,OAAO3B,CAAC,CAAC,IAAIy5E,GAAG,CAAC/5E,EAAE,IAAI,CAAC,IAAIE,EAAE,EAAE,MAAMF,EAAE,MAAM,OAAOE,IAAI,EAAEF,EAAE,MAAM,EAAE,MAAME,CAAC,EAAE,SAAS85E,GAAGh6E,EAAE,EAAEE,EAAE,EAAEI,EAAEN,EAAE,OAAO,EAAE,CAAC,KAAKM,EAAEJ,GAAG,CAAC,GAAGI,EAAEJ,EAAE,IAAI,CAAC,IAAI+B,EAAE3B,EAAEJ,EAAE,EAAEgC,EAAE,EAAEhC,EAAE,EAAEiC,EAAE,KAAK,IAAIF,CAAC,EAAEW,EAAE,GAAG,KAAK,IAAI,EAAET,EAAE,CAAC,EAAEU,EAAE,GAAG,KAAK,KAAKV,EAAES,GAAGX,EAAEW,GAAGX,CAAC,EAAE,KAAK,KAAKC,EAAED,EAAE,CAAC,EAAEa,EAAE,KAAK,IAAI5C,EAAE,KAAK,MAAM,EAAEgC,EAAEU,EAAEX,EAAEY,CAAC,CAAC,EAAEE,EAAE,KAAK,IAAIzC,EAAE,KAAK,MAAM,GAAG2B,EAAEC,GAAGU,EAAEX,EAAEY,CAAC,CAAC,EAAEm3E,GAAGh6E,EAAE,EAAE8C,EAAEC,CAAC,CAAC,CAAC,IAAIxC,EAAEP,EAAE,GAAG,EAAEE,EAAE,EAAEI,EAAE,IAAIwmB,EAAE,KAAK9mB,EAAEE,EAAE,CAAC,EAAE65E,GAAG/5E,EAAEM,GAAGC,CAAC,EAAE,GAAGumB,EAAE,KAAK9mB,EAAEE,EAAEI,CAAC,EAAE,EAAE,GAAG,CAAC,IAAIwmB,EAAE,KAAK9mB,EAAE,EAAE,CAAC,EAAE,IAAI,IAAI+5E,GAAG/5E,EAAE,GAAGO,CAAC,EAAE,GAAG,EAAE,EAAE,EAAE,KAAKw5E,GAAG/5E,EAAE,GAAGO,CAAC,EAAE,GAAG,EAAE,EAAE,CAAC,CAACw5E,GAAG/5E,EAAEE,GAAGK,CAAC,IAAI,EAAEumB,EAAE,KAAK9mB,EAAEE,EAAE,CAAC,GAAG,EAAE,EAAE,EAAE4mB,EAAE,KAAK9mB,EAAE,EAAEM,CAAC,GAAG,GAAG,IAAIJ,EAAE,EAAE,GAAG,GAAG,IAAII,EAAE,EAAE,EAAE,CAAC,CAAC,SAASo0E,GAAG10E,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAE,EAAE,EAAE,OAAO,GAAG,CAAC,EAAE0B,CAAC,EAAE,CAACjC,EAAE,OAAO,EAAE,CAAC,EAAEkC,EAAE4kB,EAAE,uBAAuB5mB,EAAE,EAAEI,CAAC,EAAE6B,EAAE2kB,EAAE,uBAAuB,QAAQ,EAAExmB,CAAC,EAAE,QAAQuC,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIC,EAAED,EAAEZ,EAAEc,EAAE/C,EAAE,SAAS8C,EAAEA,EAAEb,CAAC,EAAEe,EAAE,IAAI,MAAMD,EAAE,MAAM,EAAEA,EAAE,QAAQ,CAACgC,EAAEJ,IAAI3B,EAAE2B,GAAG,CAAC,MAAMI,EAAE,MAAMJ,CAAC,CAAC,EAAErE,EAAE0C,EAAE,SAASg3E,GAAGh3E,EAAE1C,CAAC,EAAE0C,EAAEA,EAAE,MAAM,EAAE1C,CAAC,GAAGC,GAAGyC,EAAE,KAAK+2E,EAAE,EAAE,IAAI71E,EAAErB,EAAEvC,EAAE,EAAE4B,EAAE,SAASgC,EAAEA,EAAE5D,CAAC,EAAEiH,EAAEpF,EAAE,SAAS+B,EAAEA,EAAE5D,CAAC,EAAE,QAAQyE,EAAE,EAAEA,EAAEzE,EAAEyE,IAAI,EAAEA,GAAG/B,EAAE+B,GAAG,MAAMwC,EAAExC,GAAG/B,EAAE+B,GAAG,KAAK,CAAC,IAAInC,EAAE,EAAE,MAAM,EAAE,OAAOA,EAAEA,EAAE,OAAO,GAAGtC,EAAE,CAACiwB,GAAG3tB,EAAE1C,EAAEgC,CAAC,EAAEquB,GAAG3tB,EAAE,QAAQT,CAAC,CAAC,CAAC,CAAC,SAASyyE,GAAG50E,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEumB,EAAE,eAAe,EAAE5mB,CAAC,EAAE,GAAG,EAAE,CAAC,EAAEA,EAAE,GAAG,CAAC,EAAE,QAAQ8C,EAAE,EAAEA,EAAEzC,EAAEyC,IAAI,EAAE,IAAI9C,EAAE8C,GAAG,EAAE,GAAG9C,EAAEK,GAAG,QAAQyC,EAAEzC,EAAE,EAAEyC,EAAE9C,EAAE,OAAO8C,IAAI,EAAE,IAAI9C,EAAE8C,GAAG,IAAI,EAAE,CAAC,EAAEf,EAAE,IAAI,WAAW/B,EAAEK,EAAE,EAAE2B,EAAE,IAAIonB,GAAG,EAAEhpB,EAAEN,CAAC,EAAEmC,EAAE,CAAC,EAAES,EAAE,EAAE,KAAK,GAAG,EAAE,KAAK,EAAE,QAAQI,EAAE,EAAEA,EAAE9C,EAAEK,GAAGyC,IAAI,CAAC,IAAIkB,EAAE,GAAGtB,EAAEsB,EAAElE,EAAEgD,GAAG,SAAS,MAAM,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQuE,EAAE,EAAEA,EAAE,EAAE,GAAGA,IAAI,QAAQxC,EAAE,EAAEA,EAAE,EAAE,GAAGA,IAAI,EAAE,KAAK7C,EAAE,IAAIqF,EAAEvE,EAAE+B,CAAC,CAAC,EAAEb,EAAE,EAAE,KAAK,GAAG,CAAC,CAAC,GAAG,EAAEA,KAAK,OAAOjC,EAAEe,GAAG,EAAEkB,OAAO,CAAC,IAAI,EAAE,OAAO,KAAK,CAAC,EAAE,OAAO,EAAEA,GAAG,EAAEjC,EAAEe,GAAG,EAAEb,EAAE,KAAKa,CAAC,CAAC,CAAC,CAAC,IAAIH,EAAE,EAAE,MAAM,EAAEA,EAAE,GAAG,OAAO,KAAK,CAAC,EAAE,OAAO,IAAIC,EAAE,IAAIwmB,GAAGzmB,EAAEvC,CAAC,EAAE6B,EAAE,QAAQ,CAACa,EAAEkB,IAAI,CAAC,QAAQ,EAAE,EAAE,EAAE,EAAE,GAAG,IAAI,QAAQqD,EAAE,EAAEA,EAAE,EAAE,GAAGA,IAAIzE,EAAE,IAAIZ,EAAE,IAAI,EAAEc,EAAEuE,CAAC,EAAE,EAAErD,EAAEqD,CAAC,CAAC,CAAC,EAAE,IAAIxE,EAAE7C,EAAE,MAAM,EAAE,OAAO6C,EAAExC,GAAGsC,EAAE,GAAG,CAAC,aAAaC,EAAE,OAAO,YAAYC,EAAE,QAAQd,CAAC,CAAC,CAACkyB,GAAG,MAAM,IAAI,IAAIw9C,GAAG,CAAC,EAAE,IAAIsI,GAAGlE,GAAG13D,GAAGre,GAAGA,GAAG,EAAEA,EAAE,KAAK,IAAIA,CAAC,EAAE,CAAC,EAAEk6E,GAAG,CAAC,WAAW77D,GAAG,YAAY,MAAM,WAAW47D,EAAE,EAAE,SAASE,GAAGn6E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAEmxE,GAAG,CAAClxE,CAAC,EAAE,WAAW,EAAE,IAAI,EAAEumB,EAAE,cAAcvmB,EAAE,KAAK,EAAE0B,EAAE/B,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO2B,EAAE4kB,EAAE,uBAAuB,UAAU,CAAC,EAAE,QAAQ3kB,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAID,EAAEC,GAAGF,EAAEE,GAAG,EAAE,EAAEF,EAAEE,GAAGF,EAAEE,GAAG,OAAOjC,EAAE,eAAeK,EAAE,MAAM,UAAU2B,CAAC,CAAC,CAAC,IAAIk4E,GAAG,CAAC,WAAWx6D,GAAG,YAAY,MAAM,WAAWu6D,EAAE,EAAME,GAAGtF,GAAG,CAAC/0E,EAAE,IAAIA,EAAE,EAAE,EAAEA,EAAEA,CAAC,EAAE,SAASs6E,GAAGt6E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,EAAE,MAAMC,CAAC,EAAE,EAAEkxE,GAAG,CAACnxE,EAAEC,CAAC,EAAE,OAAO,EAAE,IAAI,EAAEL,EAAE,KAAK,IAAII,EAAE,MAAM,EAAE,OAAO,EAAEJ,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO,CAAC0B,EAAEC,CAAC,EAAEm4E,GAAG/5E,EAAE,MAAMC,EAAE,MAAM,EAAE,EAAE,SAAS,EAAE,OAAOL,EAAE,eAAegC,EAAE,UAAUD,CAAC,CAAC,CAAC,IAAIs4E,GAAG,CAAC,WAAWp4D,GAAG,YAAY,MAAM,WAAWm4D,EAAE,EAAME,GAAGzE,GAAGpzD,GAAG3iB,GAAG,KAAK,IAAI,EAAEA,CAAC,CAAC,EAAEy6E,GAAG,CAAC,WAAW93D,GAAG,YAAY,MAAM,WAAW63D,EAAE,EAAME,GAAG3E,GAAG9yD,GAAGjjB,GAAG,KAAK,IAAI,KAAK,IAAI,EAAEA,CAAC,EAAE,CAAC,CAAC,EAAE26E,GAAG,CAAC,WAAW13D,GAAG,YAAY,MAAM,WAAWy3D,EAAE,EAAE,SAASE,GAAG56E,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,GAAGL,IAAI,SAAS,OAAOi1E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQn1E,CAAC,CAAC,EAAE,GAAGE,IAAI,OAAO,OAAOs6E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQx6E,CAAC,CAAC,EAAE,GAAGE,IAAI,MAAM,OAAO+5E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQj6E,CAAC,CAAC,EAAE,GAAGE,IAAI,QAAQ,OAAOw6E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ16E,CAAC,CAAC,EAAE,GAAGE,IAAI,QAAQ,OAAOo6E,GAAG,CAAC,OAAO,CAAC,EAAE,EAAE,MAAMh6E,CAAC,EAAE,QAAQN,CAAC,CAAC,EAAE,GAAGE,IAAI,YAAY,OAAOi6E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQn6E,EAAE,MAAM,CAAC,MAAMO,CAAC,CAAC,CAAC,EAAE,GAAGL,IAAI,UAAU,OAAOg5E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQl5E,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,cAAcE,iDAAiD,CAAC,CAAC,SAAS26E,GAAG76E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE,EAAEwmB,EAAE,cAAcvmB,EAAE,KAAK,EAAE0B,EAAE6kB,EAAE,uBAAuB,EAAE,CAAC,EAAE5kB,EAAE4kB,EAAE,cAAc7kB,CAAC,EAAE6kB,EAAE,OAAO,IAAI5kB,EAAE,IAAI,kBAAkBD,UAAUC,iCAAiC3B,EAAE,cAAc,gFAAgF,EAAEL,EAAE,OAAOK,EAAE,MAAM,EAAE,IAAI4B,EAAEjC,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,GAAG4B,EAAE,oBAAoB,KAAK,CAAC,IAAIS,EAAET,EAAE,mBAAmB,KAAKU,EAAEV,EAAE,mBAAmB,KAAKS,EAAE,MAAMX,EAAEY,EAAE,MAAMZ,CAAC,CAAC,MAAM,CAAC,OAAO1B,EAAE,OAAO,MAAM0B,EAAE,MAAM1B,EAAE,KAAK,CAAC,CAAC,IAAIu6E,GAAG,CAAC,WAAWl4D,GAAG,YAAY,MAAM,WAAWi4D,EAAE,EAAE,SAASE,GAAG/6E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,WAAW0B,CAAC,EAAE3B,EAAEmxE,GAAG,CAAClxE,EAAE,CAAC,EAAE,QAAQ,EAAE,IAAI2B,EAAE3B,EAAE,MAAM,OAAO4B,EAAE,EAAE,MAAM,OAAOS,EAAE,EAAErC,EAAE,MAAM2B,EAAE,GAAG3B,EAAE,MAAM2B,EAAE,GAAGW,EAAEZ,EAAE,EAAE,MAAME,EAAE,GAAG,EAAE,MAAMA,EAAE,GAAGW,EAAE,EAAEvC,EAAE,MAAM2B,EAAE,GAAG3B,EAAE,MAAM2B,EAAE,GAAGa,EAAEd,EAAE,EAAE,MAAME,EAAE,GAAG,EAAE,MAAMA,EAAE,GAAGa,EAAEzC,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE2D,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAE4iB,EAAE,cAAc9jB,CAAC,EAAEuE,EAAEuf,EAAE,cAAc5iB,CAAC,EAAES,EAAEowB,GAAG,2BAA2Bx0B,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,CAAC,EAAE,OAAO,CAACuC,EAAEC,CAAC,CAAC,EAAE+jB,EAAE,OAAOlkB,IAAIC,EAAE,IAAI,kCAAkCD,WAAWC,6BAA6BtC,EAAE,aAAa,EAAE,wBAAwB,oBAAoB0B,eAAe,EAAE,IAAI2C,EAAE,EAAE,CAAC,EAAEhC,EAAEE,CAAC,EAAE,CAAC,EAAEA,EAAEF,CAAC,EAAEiC,EAAE5C,EAAE,CAACsF,EAAExE,EAAEF,CAAC,EAAE,CAAC0E,EAAE1E,EAAEE,CAAC,EAAE+B,EAAE+1E,GAAG,CAAC,OAAO,CAAC,EAAEt6E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM0E,CAAC,CAAC,CAAC,EAAE4C,EAAEqzE,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ36E,EAAE,MAAM,CAAC,MAAM2E,CAAC,CAAC,CAAC,EAAEG,EAAE,EAAEF,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG2C,EAAE,EAAE3C,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGG,EAAEhD,EAAEuF,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGtC,EAAE,KAAK,IAAI,EAAEqC,CAAC,EAAEpC,EAAEjF,EAAE,KAAK,IAAI4E,EAAE,MAAM,EAAE,OAAOM,EAAElF,EAAE,KAAK,IAAIsH,EAAE,MAAM,EAAE,OAAOnC,EAAEyhB,EAAE,eAAehiB,EAAE,KAAK,EAAEQ,EAAEwhB,EAAE,eAAetf,EAAE,KAAK,EAAE,CAACS,EAAEN,EAAEO,CAAC,EAAE,EAAE,CAAC7C,EAAE,GAAG,EAAEA,EAAE,EAAE,EAAE,CAACA,EAAE,GAAGA,EAAE,GAAG,CAAC,EAAE,CAAC8C,EAAGC,EAAGC,CAAE,EAAEpG,EAAE,CAAC,EAAEqD,EAAE,GAAGA,EAAE,EAAE,EAAE,CAACA,EAAE,GAAG,EAAEA,EAAE,EAAE,EAAEgD,GAAGb,EAAExC,EAAEsD,GAAGgoB,GAAG,CAACrrB,EAAEuC,EAAExC,CAAC,EAAEH,EAAE,KAAK,EAAE6B,GAAG4B,GAAG,OAAOE,GAAGvI,EAAE,UAAU,QAAQwI,GAAG,EAAEA,GAAGxD,EAAEwD,KAAK,QAAQC,GAAG,EAAEA,GAAGlB,EAAEkB,IAAIF,GAAG,QAAQG,GAAG,EAAEA,GAAG3D,EAAE2D,IAAIH,GAAG,QAAQI,GAAG,EAAEA,GAAG7D,EAAE6D,IAAIJ,GAAG,CAAC,IAAIK,GAAG,KAAK,IAAIH,GAAGF,GAAGhB,CAAC,EAAE0B,GAAG,KAAK,IAAIP,GAAGH,GAAGxD,CAAC,EAAEmE,GAAG,KAAK,IAAIP,GAAGJ,GAAGzD,CAAC,EAAE,QAAQqE,GAAGV,GAAGU,GAAGP,GAAGO,KAAK,QAAQzC,GAAGgC,GAAGhC,GAAGuC,GAAGvC,KAAK,CAAC,IAAIE,GAAG,EAAE,QAAQC,GAAG8B,GAAG9B,GAAGqC,GAAGrC,KAAK,CAAC,IAAIC,GAAG,KAAK,IAAI0B,GAAG,EAAE,CAAC,EAAET,EAAEqB,GAAG,KAAK,IAAIZ,GAAGnB,EAAE,CAAC,EAAEc,EAAGpB,GAAG9B,EAAE6B,GAAGqC,GAAG1B,EAAEZ,GAAGmB,GAAGhB,GAAG9B,EAAE2B,GAAGoB,EAAGvB,GAAGwB,EAAGkB,IAAIxC,IAAIG,GAAGC,EAAE,CAACP,GAAG+B,GAAGJ,IAAIe,GAAGpE,EAAE2B,MAAME,EAAE,CAAC,CAAC,OAAO5G,EAAE,8BAA8B4E,CAAC,EAAE5E,EAAE,8BAA8BsH,CAAC,EAAEtH,EAAE,eAAeyE,EAAE4D,GAAG,MAAMA,GAAG,MAAM,CAAC,CAAC,IAAIyyE,GAAG,CAAC,WAAW5+D,GAAG,YAAY,MAAM,WAAW2+D,EAAE,EAAE,SAASE,GAAGj7E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,EAAE,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,WAAWC,EAAE,WAAWC,EAAE,WAAWS,EAAE,eAAeC,CAAC,EAAEvC,EAAEwC,EAAEC,EAAEC,EAAEkB,EAAE,CAAC,EAAEpB,EAAEi4E,GAAG,CAAC,OAAO,CAAC,EAAEx6E,EAAE,EAAE,CAAC,EAAE,MAAM,CAAC,WAAW2B,EAAE,WAAWC,CAAC,EAAE,QAAQjC,CAAC,CAAC,EAAE,IAAI6C,EAAE6yE,GAAG,CAAC,OAAO,CAAC,EAAE9yE,EAAE,EAAE,CAAC,EAAE,QAAQ5C,CAAC,CAAC,EAAEgE,EAAE,KAAKpB,CAAC,EAAEA,EAAEC,GAAGH,IAAII,EAAE43E,GAAG16E,EAAE4C,EAAEF,EAAEX,EAAEY,CAAC,EAAEqB,EAAE,KAAKpB,CAAC,EAAEA,EAAEE,GAAG,QAAQuE,KAAKrD,EAAEhE,EAAE,8BAA8BqH,CAAC,EAAE,OAAOzE,CAAC,CAAC,IAAIo4E,GAAG,CAAC,WAAWp1D,GAAG,YAAY,MAAM,WAAWm1D,EAAE,EAAME,GAAGpF,GAAG56D,GAAGnb,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAEo7E,GAAG,CAAC,WAAWjgE,GAAG,YAAY,MAAM,WAAWggE,EAAE,EAAME,GAAGtF,GAAG36D,GAAGpb,GAAG,KAAK,MAAMA,CAAC,CAAC,EAAEs7E,GAAG,CAAC,WAAWlgE,GAAG,YAAY,MAAM,WAAWigE,EAAE,EAAE,SAASE,GAAGv7E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAEM,EAAE,EAAEmxE,GAAG,EAAE,MAAM,EAAE,IAAIlxE,EAAED,EAAE,IAAI2B,GAAG/B,EAAE,KAAK,IAAI+B,EAAE,MAAM,EAAE,MAAM,EAAE,EAAEsuB,GAAGjwB,EAAE,GAAG,MAAMA,EAAE,GAAG,KAAK,EAAE,EAAE,EAAE,OAAO,QAAQ2B,EAAE,EAAEA,EAAE3B,EAAE,OAAO2B,IAAI,CAAC,IAAIC,EAAE3B,EAAE0B,GAAG,QAAQE,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,EAAEA,IAAID,EAAEC,EAAE,CAAC,OAAOjC,EAAE,eAAe,EAAE,MAAM,EAAE,MAAM,EAAE,MAAM,CAAC,CAAC,IAAIs7E,GAAG,CAAC,WAAWlgE,GAAG,YAAY,MAAM,WAAWigE,EAAE,EAAE,SAASE,GAAGz7E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAEmxE,GAAGlxE,EAAE,KAAK,EAAE,IAAI0B,EAAE6kB,EAAE,eAAe,EAAEvmB,EAAE,KAAK,EAAE2B,EAAED,EAAEE,EAAEq4C,EAAE,mBAAmBt4C,EAAE3B,EAAE,MAAM,MAAM,EAAEqC,EAAErC,EAAE4B,GAAG,OAAOS,EAAEo1E,GAAG,CAAC,OAAO,CAAC,EAAEz3E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAKiC,CAAC,CAAC,CAAC,EAAED,EAAEs4C,EAAE,iBAAiBt4C,EAAE,OAAO3B,EAAE,MAAM,MAAM,GAAGi6C,EAAE,2BAA2B,MAAMt4C,EAAEU,EAAE,MAAM,MAAM,EAAE,GAAG,CAACC,EAAEC,CAAC,EAAE03C,EAAE,0BAA0B53C,EAAE,MAAMV,CAAC,EAAEa,EAAE+jB,EAAE,cAAchkB,CAAC,EAAEE,EAAE8jB,EAAE,oBAAoBA,EAAE,cAAcjkB,CAAC,EAAED,EAAE,KAAK,EAAEsB,EAAEhE,EAAE,KAAK,IAAI0C,EAAE,MAAM,EAAE,OAAO,QAAQ2E,EAAE,EAAEA,EAAEvE,EAAE,OAAO,EAAEuE,EAAE,CAAC,IAAIxC,EAAEwC,EAAExE,EAAE4B,EAAET,EAAEa,GAAG,QAAQH,EAAE,EAAEA,EAAE7B,EAAE,EAAE6B,EAAE,CAAC,IAAIC,EAAEX,EAAEa,EAAEH,GAAGD,EAAEA,GAAGE,CAAC,CAAC7B,EAAEuE,GAAG5C,CAAC,CAACxC,GAAG,MAAMjC,EAAE,8BAA8B0C,CAAC,EAAE,IAAI,EAAE1C,EAAE,eAAe2C,EAAED,EAAE,MAAMI,CAAC,EAAE,GAAG,EAAE,CAAC,IAAIuE,EAAEizC,EAAE,qBAAqB33C,EAAEZ,CAAC,EAAE8C,EAAE81E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ36E,EAAE,MAAM,CAAC,MAAMqH,CAAC,CAAC,CAAC,EAAE,OAAOrH,EAAE,8BAA8B,CAAC,EAAE6E,CAAC,CAAC,OAAO,CAAC,CAAC,IAAI22E,GAAG,CAAC,WAAWngE,GAAG,YAAY,MAAM,WAAWkgE,EAAE,EAAE,SAASE,GAAG37E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAEmxE,GAAGlxE,EAAE,KAAK,EAAE,IAAI0B,EAAE6kB,EAAE,eAAe,EAAEvmB,EAAE,KAAK,EAAE2B,EAAED,EAAEE,EAAEq4C,EAAE,mBAAmBt4C,EAAE3B,EAAE,MAAM,MAAM,EAAEqC,EAAErC,EAAE4B,GAAG,OAAOS,EAAEo1E,GAAG,CAAC,OAAO,CAAC,EAAEz3E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAKiC,CAAC,CAAC,CAAC,EAAED,EAAEs4C,EAAE,iBAAiBt4C,EAAE,OAAO3B,EAAE,MAAM,MAAM,GAAGi6C,EAAE,2BAA2B,MAAMt4C,EAAEU,EAAE,MAAM,MAAM,EAAE,GAAG,CAACC,EAAEC,CAAC,EAAE03C,EAAE,0BAA0B53C,EAAE,MAAMV,CAAC,EAAEa,EAAE+jB,EAAE,cAAchkB,CAAC,EAAEE,EAAE8jB,EAAE,oBAAoBA,EAAE,cAAcjkB,CAAC,EAAED,EAAE,KAAK,EAAEsB,EAAEhE,EAAE,KAAK,IAAI0C,EAAE,MAAM,EAAE,OAAO,QAAQ2E,EAAE,EAAEA,EAAEvE,EAAE,OAAO,EAAEuE,EAAE,CAAC,IAAIxC,EAAEwC,EAAExE,EAAE4B,EAAET,EAAEa,GAAG,QAAQH,EAAE,EAAEA,EAAE7B,EAAE,EAAE6B,EAAE,CAAC,IAAIC,EAAEX,EAAEa,EAAEH,GAAGD,EAAEA,GAAGE,CAAC,CAAC7B,EAAEuE,GAAG5C,CAAC,CAACxC,GAAG,MAAMjC,EAAE,8BAA8B0C,CAAC,EAAE,IAAI,EAAE1C,EAAE,eAAe2C,EAAED,EAAE,MAAMI,CAAC,EAAE,GAAG,EAAE,CAAC,IAAIuE,EAAEizC,EAAE,qBAAqB33C,EAAEZ,CAAC,EAAE8C,EAAE81E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ36E,EAAE,MAAM,CAAC,MAAMqH,CAAC,CAAC,CAAC,EAAE,OAAOrH,EAAE,8BAA8B,CAAC,EAAE6E,CAAC,CAAC,OAAO,CAAC,CAAC,IAAI62E,GAAG,CAAC,WAAWpgE,GAAG,YAAY,MAAM,WAAWmgE,EAAE,EAAE,SAASE,GAAG77E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAEmxE,GAAGlxE,EAAE,QAAQ,EAAE,IAAI,EAAEumB,EAAE,eAAe,EAAEvmB,EAAE,KAAK,EAAE0B,EAAEu4C,EAAE,mBAAmB,EAAEj6C,EAAE,MAAM,MAAM,EAAE2B,EAAE3B,EAAE4B,EAAE,CAAC,EAAEF,GAAG,OAAOC,EAAE81E,GAAG,CAAC,OAAO,CAAC,EAAEz3E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAK+B,CAAC,CAAC,CAAC,EAAEE,EAAE,KAAKD,CAAC,EAAE,EAAEs4C,EAAE,iBAAiB,EAAE,OAAOt4C,EAAE,MAAM,MAAM,GAAG,EAAE,CAAC,EAAE,EAAE,EAAEs4C,EAAE,2BAA2B,SAAS,EAAEt4C,EAAE,MAAM,MAAM,EAAE,GAAG,CAACU,EAAEC,CAAC,EAAE23C,EAAE,0BAA0Bt4C,EAAE,MAAM,CAAC,EAAEY,EAAEgkB,EAAE,cAAclkB,CAAC,EAAEG,EAAE+jB,EAAE,oBAAoBhkB,EAAE,OAAO,EAAEE,EAAE8jB,EAAE,cAAcjkB,CAAC,EAAEqB,EAAEhE,EAAE,KAAK,IAAIgC,EAAE,MAAM,EAAE,OAAO,QAAQ,EAAE,EAAE,EAAEa,EAAE,OAAO,EAAE,EAAE,CAAC,IAAIwE,EAAE,EAAEvE,EAAE+B,EAAEb,EAAEqD,GAAG5C,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE5B,EAAE,EAAE4B,EAAE,CAAC,IAAIC,EAAEX,EAAEqD,EAAE3C,GAAGC,EAAEE,IAAIA,EAAEF,EAAEF,EAAEC,EAAE,CAAC7B,EAAE,GAAG4B,CAAC,CAAC,OAAOxC,EAAE,QAAQ,GAAGjC,EAAE,8BAA8B,CAAC,CAAC,EAAEA,EAAE,eAAe0C,EAAE,QAAQG,CAAC,CAAC,CAAC,IAAI+4E,GAAG,CAAC,WAAWrgE,GAAG,YAAY,MAAM,WAAWogE,EAAE,EAAE,SAASE,GAAG/7E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAEmxE,GAAGlxE,EAAE,QAAQ,EAAE,IAAI,EAAEumB,EAAE,eAAe,EAAEvmB,EAAE,KAAK,EAAE0B,EAAEu4C,EAAE,mBAAmB,EAAEj6C,EAAE,MAAM,MAAM,EAAE2B,EAAE3B,EAAE4B,EAAE,CAAC,EAAEF,GAAG,OAAOC,EAAE81E,GAAG,CAAC,OAAO,CAAC,EAAEz3E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAK+B,CAAC,CAAC,CAAC,EAAEE,EAAE,KAAKD,CAAC,EAAE,EAAEs4C,EAAE,iBAAiB,EAAE,OAAOt4C,EAAE,MAAM,MAAM,GAAG,EAAE,CAAC,EAAE,EAAE,EAAEs4C,EAAE,2BAA2B,SAAS,EAAEt4C,EAAE,MAAM,MAAM,EAAE,GAAG,CAACU,EAAEC,CAAC,EAAE23C,EAAE,0BAA0Bt4C,EAAE,MAAM,CAAC,EAAEY,EAAEgkB,EAAE,cAAclkB,CAAC,EAAEG,EAAE+jB,EAAE,oBAAoBhkB,EAAE,OAAO,EAAEE,EAAE8jB,EAAE,cAAcjkB,CAAC,EAAEqB,EAAEhE,EAAE,KAAK,IAAIgC,EAAE,MAAM,EAAE,OAAO,QAAQ,EAAE,EAAE,EAAEa,EAAE,OAAO,EAAE,EAAE,CAAC,IAAIwE,EAAE,EAAEvE,EAAE+B,EAAEb,EAAEqD,GAAG5C,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE5B,EAAE,EAAE4B,EAAE,CAAC,IAAIC,EAAEX,EAAEqD,EAAE3C,GAAGC,EAAEE,IAAIA,EAAEF,EAAEF,EAAEC,EAAE,CAAC7B,EAAE,GAAG4B,CAAC,CAAC,OAAOxC,EAAE,QAAQ,GAAGjC,EAAE,8BAA8B,CAAC,CAAC,EAAEA,EAAE,eAAe0C,EAAE,QAAQG,CAAC,CAAC,CAAC,IAAIi5E,GAAG,CAAC,WAAWtgE,GAAG,YAAY,MAAM,WAAWqgE,EAAE,EAAME,GAAGlG,GAAGp6D,GAAG3b,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAEk8E,GAAG,CAAC,WAAWvgE,GAAG,YAAY,MAAM,WAAWsgE,EAAE,EAAME,GAAGpG,GAAGn6D,GAAG5b,GAAG,KAAK,MAAMA,CAAC,CAAC,EAAEo8E,GAAG,CAAC,WAAWxgE,GAAG,YAAY,MAAM,WAAWugE,EAAE,EAAME,GAAGtG,GAAGl6D,GAAG7b,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAEs8E,GAAG,CAAC,WAAWzgE,GAAG,YAAY,MAAM,WAAWwgE,EAAE,EAAME,GAAGxH,GAAG,CAAC/0E,EAAE,IAAI,KAAK,MAAMA,EAAE,CAAC,CAAC,EAAEw8E,GAAG/G,GAAG15D,GAAGwgE,EAAE,EAAEE,GAAG,CAAC,WAAW1gE,GAAG,YAAY,MAAM,WAAWygE,EAAE,EAAME,GAAG3G,GAAGj6D,GAAG9b,GAAG,KAAK,MAAMA,CAAC,CAAC,EAAE28E,GAAG,CAAC,WAAW7gE,GAAG,YAAY,MAAM,WAAW4gE,EAAE,EAAE,SAASE,GAAG58E,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEA,EAAE,aAAa0B,EAAE1B,EAAE,YAAY2B,EAAE3B,EAAE,eAAe4B,EAAE5B,EAAE,cAAcqC,EAAErC,EAAE,sBAAsBsC,EAAEtC,EAAE,qBAAqBuC,EAAEvC,EAAE,QAAQ,IAAIwC,EAAExC,EAAE,QAAQ,KAAKyC,EAAE,IAAI,MAAM,OAAO,kBAAkB,OAAO,kBAAkBkB,EAAEqsB,GAAGhwB,EAAE,SAASL,CAAC,EAAE,EAAEgE,EAAE,OAAOqD,EAAEhH,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAGwE,EAAExE,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAGoE,EAAEpE,EAAE,SAAS,GAAG,QAAQqE,EAAE,EAAEA,EAAErE,EAAE,UAAU,EAAEqE,EAAE,CAAC,IAAIC,EAAED,EAAE2C,EAAEzC,EAAEF,EAAEtE,EAAE,GAAG,QAAQkH,EAAE,EAAEA,EAAEjH,EAAE,WAAW,EAAEiH,EAAE,QAAQxC,EAAE,EAAEA,EAAEzE,EAAE,UAAU,EAAEyE,EAAE,CAAC,IAAIyC,EAAEzC,EAAE,EAAElC,EAAEmC,EAAE,KAAK,IAAI,EAAEwC,CAAC,EAAEvC,EAAE,KAAK,IAAI3E,EAAE,SAASqC,EAAE6E,CAAC,EAAEtC,EAAEN,EAAEG,EAAED,EAAE,QAAQK,EAAE,EAAEA,EAAE7E,EAAE,SAAS,EAAE6E,EAAE,CAAC,IAAIC,EAAED,EAAEnD,EAAEc,EAAEuC,EAAE,KAAK,IAAI,EAAED,CAAC,EAAE4C,EAAE,KAAK,IAAI1H,EAAE,QAAQsC,EAAEwC,CAAC,EAAEsC,EAAE3E,EAAEkF,EAAE,EAAEC,EAAG,EAAE,QAAQE,GAAGpD,EAAEoD,GAAGnD,EAAEmD,IAAInG,EAAE,CAAC,IAAIoG,GAAGxD,EAAEuD,GAAG/H,EAAE,GAAG,QAAQiI,GAAGjD,EAAEiD,GAAGN,EAAEM,IAAIpG,EAAE,CAAC,IAAIwE,GAAG2B,GAAGC,GAAGjI,EAAE,GAAGmI,GAAGzI,EAAE2G,GAAGa,GAAG,IAAI,OAAOiB,GAAGd,EAAEA,EAAEc,GAAG,IAAI,QAAQP,GAAGO,GAAGN,IAAK,CAAC,GAAG,MAAMR,CAAC,EAAE,KAAK,CAAC,IAAIS,EAAGjD,EAAEC,EAAET,EAAE6C,EAAE,EAAEY,GAAI,IAAI,MAAMF,EAAEC,EAAGR,CAAC,CAAC,CAAC,CAAC,OAAOzD,CAAC,CAAC,SAAS24E,GAAG78E,EAAE,EAAEE,EAAEI,EAAEC,EAAE,GAAG,EAAE,GAAG,CAAC,IAAI,EAAEgwB,GAAGjwB,EAAE,SAAS,OAAO,EAAE2B,EAAE3B,EAAE,aAAa4B,EAAE5B,EAAE,YAAY6B,EAAE7B,EAAE,eAAesC,EAAEtC,EAAE,cAAcuC,EAAEvC,EAAE,sBAAsBwC,EAAExC,EAAE,qBAAqByC,EAAEzC,EAAE,QAAQ,IAAI0C,EAAE1C,EAAE,QAAQ,KAAK4D,EAAEqsB,GAAG,EAAErwB,EAAEF,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEM,EAAE,UAAU,EAAE,EAAE,QAAQiH,EAAE,EAAEA,EAAEjH,EAAE,WAAW,EAAEiH,EAAE,QAAQxC,EAAE,EAAEA,EAAEzE,EAAE,UAAU,EAAEyE,EAAE,CAAC,IAAIJ,EAAEI,EAAE9C,EAAEc,EAAE6B,EAAED,EAAE,KAAKC,EAAE,GAAGA,GAAGzC,EAAE,IAAI0C,EAAE,KAAK,IAAIvE,EAAE,SAASuC,EAAE8B,CAAC,EAAE,QAAQG,EAAE,EAAEA,EAAExE,EAAE,SAAS,EAAEwE,EAAE,CAAC,IAAI0C,EAAE1C,EAAE5C,EAAEc,EAAEgC,EAAEwC,EAAE,KAAKxC,EAAE,GAAGA,GAAGpC,EAAE,IAAI6E,EAAE,KAAK,IAAInH,EAAE,QAAQwC,EAAE0E,CAAC,EAAEvC,EAAE,OAAO,kBAAkBC,EAAE,GAAG,QAAQC,EAAEP,EAAEO,EAAEN,EAAEM,GAAGhD,EAAE,CAAC,IAAIiD,EAAED,EAAER,EAAE,QAAQU,EAAEL,EAAEK,EAAEoC,EAAEpC,GAAGzC,EAAE,CAAC,IAAI0C,EAAED,EAAEmC,EAAES,EAAE/D,EAAE,IAAI,EAAEiB,EAAEE,EAAEkC,CAAC,EAAEU,EAAEhD,IAAIA,EAAEgD,EAAE1H,EAAE2E,EAAE,IAAI,EAAE5E,EAAE,SAAS6E,GAAG7E,EAAE,QAAQ+E,GAAG/E,EAAE,WAAWiH,GAAGpC,EAAE7E,EAAE,QAAQ+E,GAAG/E,EAAE,WAAWiH,EAAErC,EAAEE,EAAEtC,EAAEwC,EAAE,CAAC,CAAC,EAAE,IAAIJ,EAAE,EAAEH,EAAED,EAAEyC,CAAC,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,SAASu1E,GAAG98E,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEA,EAAE,YAAY0B,EAAE1B,EAAE,aAAa2B,EAAE3B,EAAE,YAAY4B,EAAE5B,EAAE,cAAcqC,EAAErC,EAAE,eAAesC,EAAEtC,EAAE,cAAcuC,EAAEvC,EAAE,qBAAqBwC,EAAExC,EAAE,sBAAsByC,EAAEzC,EAAE,qBAAqB2D,EAAE3D,EAAE,QAAQ,MAAM,EAAEA,EAAE,QAAQ,IAAIgH,EAAEhH,EAAE,QAAQ,KAAKwE,EAAE,IAAI,MAAM,OAAO,kBAAkB,OAAO,kBAAkBJ,EAAE4rB,GAAGhwB,EAAE,SAASL,CAAC,EAAE0E,EAAED,EAAE,OAAOE,EAAEtE,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAGuE,EAAEvE,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAGiH,EAAEjH,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAGyE,EAAEzE,EAAE,SAAS,GAAG,QAAQkH,EAAE,EAAEA,EAAElH,EAAE,UAAU,EAAEkH,EAAE,CAAC,IAAIxC,EAAEwC,EAAE5C,EAAEK,EAAEuC,EAAEnH,EAAE,GAAG,QAAQ6E,EAAE,EAAEA,EAAE5E,EAAE,WAAW,EAAE4E,EAAE,QAAQC,EAAE,EAAEA,EAAE7E,EAAE,SAAS,EAAE6E,EAAE,CAAC,IAAIC,EAAED,EAAE,EAAElB,EAAEoB,EAAED,EAAE,KAAKC,EAAE,GAAGA,GAAGnD,EAAE,IAAI8F,EAAE,KAAK,IAAI1H,EAAE,QAAQuC,EAAEuC,CAAC,EAAEsC,EAAE1C,EAAEG,EAAEN,EAAE,QAAQoD,EAAE,EAAEA,EAAE3H,EAAE,UAAU,EAAE2H,EAAE,CAAC,IAAIC,EAAGD,EAAEjG,EAAE,EAAEmG,EAAGD,EAAG,KAAKC,EAAG,GAAGA,GAAIxF,EAAE,IAAIyF,GAAG,KAAK,IAAI9H,EAAE,SAASwC,EAAEoF,CAAE,EAAEG,GAAGX,EAAEO,EAAEV,EAAE,QAAQe,GAAG,EAAEA,GAAGhI,EAAE,SAAS,EAAEgI,GAAG,CAAC,IAAI5B,GAAG4B,GAAGrG,EAAEqF,EAAEkB,GAAG9B,GAAG,KAAK8B,GAAG,GAAGA,IAAI5F,EAAE,IAAI6F,GAAG,KAAK,IAAInI,EAAE,QAAQyC,EAAE2D,EAAE,EAAEgC,GAAGL,GAAGC,GAAGvD,EAAE4D,GAAG7D,EAAE8D,GAAG,EAAEC,GAAG,EAAE,QAAQM,GAAG9D,EAAE8D,GAAGnB,EAAEmB,IAAIjH,EAAE,CAAC,IAAIkH,GAAGnE,EAAEkE,GAAG9I,EAAE,GAAG,QAAQsG,GAAGwB,EAAGxB,GAAGyB,GAAGzB,IAAIhE,EAAE,CAAC,IAAIkE,GAAGuC,GAAGzC,GAAGtG,EAAE,GAAG,QAAQyG,GAAG0B,GAAG1B,GAAG2B,GAAG3B,IAAIlE,EAAE,CAAC,IAAImE,GAAGF,GAAGC,GAAGzG,EAAE,GAAGgJ,GAAGtJ,EAAEgH,GAAG7B,GAAG,GAAG,IAAI,OAAOmE,GAAGV,GAAGA,GAAGU,GAAG,IAAI,QAAQT,IAAIS,GAAGR,MAAM,MAAMF,EAAE,EAAE,KAAK,CAAC,GAAG,MAAMA,EAAE,EAAE,KAAK,CAAC,GAAG,MAAMA,EAAE,EAAE,KAAK,CAAC,IAAIO,GAAGR,GAAGxD,EAAEP,EAAEuE,IAAI,IAAI,MAAMN,GAAGC,GAAGF,EAAE,CAAC,CAAC,CAAC,CAAC,OAAOjE,CAAC,CAAC,SAASo4E,GAAG/8E,EAAE,EAAE,CAAC,IAAIE,EAAEqwB,GAAG,EAAE,SAAS,OAAO,EAAEjwB,EAAE,EAAE,YAAYC,EAAE,EAAE,aAAa,EAAE,EAAE,YAAY,EAAE,EAAE,cAAc0B,EAAE,EAAE,eAAeC,EAAE,EAAE,cAAcC,EAAE,EAAE,qBAAqBS,EAAE,EAAE,sBAAsBC,EAAE,EAAE,qBAAqBC,EAAE,EAAE,QAAQ,MAAMC,EAAE,EAAE,QAAQ,IAAIC,EAAE,EAAE,QAAQ,KAAK,QAAQkB,EAAE,EAAEA,EAAE,EAAE,UAAU,EAAEA,EAAE,QAAQ,EAAE,EAAE,EAAE,EAAE,WAAW,EAAE,EAAE,QAAQqD,EAAE,EAAEA,EAAE,EAAE,SAAS,EAAEA,EAAE,CAAC,IAAIxC,EAAEwC,EAAEjH,EAAEwC,EAAE6B,EAAEI,EAAE,KAAKJ,EAAE,GAAGA,GAAG,EAAE,IAAIC,EAAE,KAAK,IAAI,EAAE,QAAQzC,EAAE4C,CAAC,EAAE,QAAQF,EAAE,EAAEA,EAAE,EAAE,UAAU,EAAEA,EAAE,CAAC,IAAIC,EAAED,EAAEtE,EAAEwC,EAAEyE,EAAE1C,EAAE,KAAK0C,EAAE,GAAGA,GAAGvF,EAAE,IAAI+C,EAAE,KAAK,IAAI,EAAE,SAASpC,EAAEkC,CAAC,EAAE,QAAQ2C,EAAE,EAAEA,EAAE,EAAE,SAAS,EAAEA,EAAE,CAAC,IAAIxC,EAAEwC,EAAE,EAAEzE,EAAEkC,EAAED,EAAE,KAAKC,EAAE,GAAGA,GAAGhD,EAAE,IAAIiD,EAAE,KAAK,IAAI,EAAE,QAAQtC,EAAEoC,CAAC,EAAEG,EAAE,OAAO,kBAAkBC,EAAE,GAAG,QAAQC,EAAEX,EAAEW,EAAEV,EAAEU,GAAG,EAAE,CAAC,IAAI2C,EAAE3C,EAAEP,EAAE,QAAQ4C,EAAEH,EAAEG,EAAE3C,EAAE2C,GAAG1F,EAAE,CAAC,IAAIiG,EAAEP,EAAE7C,EAAE,QAAQqD,EAAGjD,EAAEiD,EAAGhD,EAAEgD,GAAIjG,EAAE,CAAC,IAAIkG,EAAGD,EAAGlD,EAAEoD,GAAGrI,EAAE,IAAIkE,EAAEoB,EAAEqC,EAAEQ,EAAG,CAAC,EAAEE,IAAIjD,IAAIA,EAAEiD,GAAGhD,EAAE4C,EAAErF,EAAEC,EAAEqF,EAAEtF,EAAEwF,EAAG,CAAC,CAAC,CAAClI,EAAE,IAAImF,EAAEnB,EAAEqD,EAAE1C,EAAE4C,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOvH,CAAC,CAAC,SAAS88E,GAAGh9E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAEkxE,GAAGlxE,EAAE,SAAS,EAAE,GAAG,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,CAAC,EAAE5B,EAAE6B,EAAE,EAAE2kB,EAAE,OAAO0zB,EAAE,+BAA+B,EAAEr4C,CAAC,EAAE,IAAI,wEAAwE,oBAAoBA,IAAI,EAAE,IAAIS,EAAE43C,EAAE,kBAAkBj6C,EAAE,MAAM,EAAE,EAAE4B,EAAEF,EAAEC,CAAC,EAAEW,EAAE,GAAGD,EAAE,cAAc,GAAGA,EAAE,eAAe,GAAGkkB,EAAE,YAAYlkB,EAAE,QAAQA,EAAE,QAAQ,EAAEC,EAAEsyE,GAAG,CAAC,OAAO,CAAC,EAAE50E,CAAC,EAAE,QAAQL,CAAC,CAAC,MAAM,CAAC,IAAI4C,EAAE5C,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOwC,EAAE+jB,EAAE,eAAevmB,EAAE,KAAK,EAAEyC,EAAE45E,GAAG95E,EAAEvC,EAAE,MAAMA,EAAE,MAAMwC,EAAEH,EAAE,KAAK,EAAEC,EAAE3C,EAAE,eAAe0C,EAAE,SAASrC,EAAE,MAAMyC,EAAE,MAAM,CAAC,CAAC,OAAOH,CAAC,CAAC,IAAIo6E,GAAG,CAAC,WAAWjhE,GAAG,YAAY,MAAM,WAAWghE,EAAE,EAAE,SAASE,GAAGl9E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,EAAE,WAAWC,CAAC,EAAE7B,EAAEmxE,GAAGlxE,EAAE,WAAW,EAAE,IAAIqC,EAAE43C,EAAE,kBAAkBj6C,EAAE,MAAM,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,CAAC,EAAEU,EAAE3C,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOuC,EAAEg6E,GAAGj6E,EAAEtC,EAAE,MAAMA,EAAE,MAAMumB,EAAE,eAAevmB,EAAE,KAAK,EAAEqC,EAAE,KAAK,EAAE,OAAO1C,EAAE,eAAe4C,EAAE,MAAM,UAAUA,EAAE,MAAM,CAAC,CAAC,IAAIq6E,GAAG,CAAC,WAAWjhE,GAAG,YAAY,MAAM,WAAWghE,EAAE,EAAE,SAASE,GAAGp9E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,MAAM,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ0B,EAAE,IAAIC,EAAE,gBAAgBC,CAAC,EAAE7B,EAAEmxE,GAAG,CAAClxE,EAAE,CAAC,EAAE,eAAe,EAAE,IAAIqC,EAAE43C,EAAE,kBAAkB,EAAE,MAAM,EAAEv4C,EAAE,EAAEC,EAAEC,CAAC,EAAEU,EAAED,EAAE,YAAYE,EAAEF,EAAE,aAAaG,EAAEH,EAAE,YAAYI,EAAEJ,EAAE,YAAYsB,EAAEtB,EAAE,aAAa,EAAEA,EAAE,YAAY2E,EAAE3E,EAAE,cAAcmC,EAAEnC,EAAE,eAAe+B,EAAE/B,EAAE,cAAcgC,EAAEhC,EAAE,qBAAqBiC,EAAEjC,EAAE,sBAAsBkC,EAAElC,EAAE,qBAAqB4E,EAAE5C,EAAE,EAAEhC,EAAE,QAAQ,MAAMoC,EAAEF,EAAE,EAAElC,EAAE,QAAQ,KAAK6E,EAAE5C,EAAE,EAAEjC,EAAE,QAAQ,IAAIqC,EAAEsrB,GAAG,EAAE,MAAM,SAAS,EAAErrB,EAAE,GAAGlC,EAAEkB,EAAE,GAAGiB,EAAEjF,EAAE,WAAWK,CAAC,EAAE,QAAQ6E,EAAE,EAAEA,EAAExC,EAAE,UAAU,EAAEwC,EAAE,QAAQC,EAAE,EAAEA,EAAEzC,EAAE,WAAW,EAAEyC,EAAE,QAAQC,EAAE,EAAEA,EAAE1C,EAAE,QAAQ,EAAE0C,EAAE,QAAQ2C,EAAE,EAAEA,EAAErF,EAAE,SAAS,EAAEqF,EAAE,QAAQN,EAAE,EAAEA,EAAE/E,EAAE,QAAQ,EAAE+E,EAAE,CAAC,IAAIO,EAAE5C,EAAEkC,EAAEW,EAAGF,EAAER,EAAEW,EAAGT,EAAE3C,EAAEqD,GAAG,EAAE,QAAQC,GAAG,EAAEA,GAAG1D,EAAE0D,IAAIf,EAAE,CAAC,IAAIgB,IAAIL,EAAEI,IAAIzF,EAAE,GAAG,EAAE0F,GAAG,GAAGA,IAAI3F,EAAE,UAAU,KAAK,MAAM2F,EAAE,IAAIA,IAAI,QAAQ5B,GAAG,EAAEA,GAAG9B,EAAE8B,IAAI5B,EAAE,CAAC,IAAI0D,IAAIN,EAAGxB,IAAI7D,EAAE,GAAG,EAAE2F,GAAG,GAAGA,IAAI7F,EAAE,WAAW,KAAK,MAAM6F,EAAE,IAAIA,IAAI,QAAQC,GAAG,EAAEA,GAAG5D,EAAE4D,IAAI/D,EAAE,CAAC,IAAIgE,IAAIP,EAAGM,IAAI3F,EAAK4F,GAAG,GAAGA,IAAI/F,EAAE,UAAU,KAAK,MAAM+F,EAAE,IAAIA,KAAYN,IAAIlD,EAAE,IAAIC,EAAEmD,GAAGE,GAAGE,GAAGtD,CAAC,EAAC,CAAC,CAAC,CAACJ,EAAE,IAAIoD,GAAGnD,EAAEE,EAAEE,EAAE2C,EAAEN,EAAEtC,CAAC,CAAC,CAAC,OAAOnF,EAAE,eAAe+E,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIo4E,GAAG,CAAC,WAAWlhE,GAAG,YAAY,MAAM,WAAWihE,EAAE,EAAE,SAASE,GAAGt9E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,MAAM,CAAC,EAAE,EAAE,EAAE,EAAEkxE,GAAG,CAAClxE,EAAE,CAAC,EAAE,aAAa,EAAE,GAAG,CAAC,WAAW0B,EAAE,QAAQC,EAAE,IAAIC,CAAC,EAAE7B,EAAEsC,EAAE43C,EAAE,kBAAkB,EAAE,MAAMv4C,EAAEC,EAAE,EAAEC,CAAC,EAAEU,EAAED,EAAE,aAAaE,EAAEF,EAAE,YAAYG,EAAEH,EAAE,aAAaI,EAAEJ,EAAE,YAAYsB,EAAEtB,EAAE,eAAe,EAAEA,EAAE,cAAc2E,EAAE3E,EAAE,sBAAsBmC,EAAEnC,EAAE,qBAAqB+B,EAAEI,EAAE,EAAEnC,EAAE,QAAQ,KAAKgC,EAAE2C,EAAE,EAAE3E,EAAE,QAAQ,IAAIiC,EAAE0rB,GAAG,EAAE,MAAM,SAAS,EAAEzrB,EAAE,GAAG/B,EAAEC,GAAGwE,EAAEtH,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOyE,EAAEurB,GAAGhwB,EAAE,MAAM,UAAUiH,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE7E,EAAE,UAAU,EAAE6E,EAAE,QAAQxC,EAAE,EAAEA,EAAErC,EAAE,WAAW,EAAEqC,EAAE,QAAQC,EAAE,EAAEA,EAAEtC,EAAE,SAAS,EAAEsC,EAAE,QAAQC,EAAE,EAAEA,EAAEvC,EAAE,QAAQ,EAAEuC,EAAE,CAAC,IAAIC,EAAEF,EAAEN,EAAES,EAAEF,EAAER,EAAEW,EAAE,EAAE,QAAQ2C,EAAE,EAAEA,EAAEV,EAAEU,GAAG/D,EAAE,CAAC,IAAIyD,GAAGvC,EAAE6C,GAAGpF,EAAE,GAAG,EAAE8E,EAAE,GAAGA,GAAG/E,EAAE,WAAW,KAAK,MAAM+E,CAAC,IAAIA,GAAG,QAAQO,EAAE,EAAEA,EAAEnD,EAAEmD,GAAG,EAAE,CAAC,IAAIC,GAAI9C,EAAE6C,GAAGpF,EAAKqF,EAAG,GAAGA,GAAIvF,EAAE,UAAU,KAAK,MAAMuF,CAAE,IAAIA,IAAY7C,GAAGN,EAAE,IAAIyC,EAAEE,EAAEQ,EAAGlD,CAAC,EAAC,CAAC,CAACJ,EAAE,IAAIS,EAAER,EAAE2C,EAAEvC,EAAEC,EAAEF,CAAC,CAAC,CAAC,OAAO/E,EAAE,eAAe2E,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAI04E,GAAG,CAAC,WAAWthE,GAAG,YAAY,MAAM,WAAWqhE,EAAE,EAAE,SAASE,GAAGx9E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,MAAM,EAAE,OAAO,EAAE,KAAK0B,EAAE,SAASC,CAAC,EAAE,EAAE4kB,EAAE,OAAO7kB,EAAE,MAAM,SAASC,EAAE,MAAM,OAAO,IAAI,8EAA8E,EAAE4kB,EAAE,OAAO,GAAG,MAAM7kB,EAAE,MAAM,SAAS,EAAE,MAAM,OAAO,IAAI,4EAA4E,EAAE6kB,EAAE,OAAO,GAAG,MAAM7kB,EAAE,MAAM,SAAS,EAAE,MAAM,OAAO,IAAI,2EAA2E,EAAEwvE,GAAG,CAAClxE,EAAE0B,EAAEC,EAAE,EAAE,CAAC,EAAE,WAAW,EAAE,GAAG,CAAC,gBAAgBC,CAAC,EAAE7B,EAAE6B,GAAG,OAAOA,EAAE,MAAM,IAAIS,EAAE1C,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOsC,EAAE3C,EAAE,KAAK,IAAI+B,EAAE,MAAM,EAAE,OAAOa,EAAE5C,EAAE,KAAK,IAAIgC,EAAE,MAAM,EAAE,OAAOa,EAAE,EAAE7C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,IAAI,aAAa,CAAC,CAAC,CAAC,EAAE8C,EAAE,EAAE9C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,IAAI,aAAa,CAAC,CAAC,CAAC,EAAEgE,EAAE,IAAI,aAAatB,EAAE,MAAM,EAAE,EAAEI,EAAE,OAAOuE,EAAExE,EAAE,OAAOgC,EAAEjC,EAAE,OAAO6B,EAAE9B,EAAE,OAAO+B,EAAE,EAAEC,EAAE,EAAEC,EAAE,EAAE0C,EAAE,EAAE,QAAQxC,EAAE,EAAEA,EAAEpC,EAAE,OAAO,EAAEoC,EAAEd,EAAEc,GAAGhC,EAAE4B,MAAMhC,EAAEoC,GAAGnC,EAAEgC,MAAM9B,EAAE+B,KAAK,KAAK,KAAKhC,EAAE0E,KAAKrF,CAAC,EAAEyC,GAAG,IAAIA,EAAE,GAAGC,GAAGF,IAAIE,EAAE,GAAGC,GAAGyC,IAAIzC,EAAE,GAAG0C,GAAGzC,IAAIyC,EAAE,GAAG,OAAOtH,EAAE,eAAeK,EAAE,MAAMA,EAAE,MAAM2D,CAAC,CAAC,CAAC,IAAIu5E,GAAG,CAAC,WAAWx+D,GAAG,YAAY,MAAM,WAAWu+D,EAAE,EAAE,SAASE,GAAG19E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,MAAM,CAAC,EAAED,EAAEmxE,GAAG,CAAClxE,CAAC,EAAE,gBAAgB,EAAE,IAAI0B,EAAE,EAAE,OAAO,CAACsF,EAAExC,IAAIwC,EAAExC,CAAC,EAAE7C,EAAEs4C,EAAE,YAAYj6C,EAAE,MAAM,EAAE0B,CAAC,EAAEE,EAAEq4C,EAAE,YAAYt4C,EAAE,OAAO,EAAE,MAAM,EAAEU,EAAE43C,EAAE,oBAAoBj6C,EAAE,MAAM,EAAE0B,CAAC,EAAEY,EAAE23C,EAAE,oBAAoB,EAAE,EAAE,MAAM,EAAE13C,EAAE03C,EAAE,aAAa53C,EAAE,EAAE,EAAE,MAAM,EAAEG,EAAE83E,GAAG,CAAC,OAAO,CAAC,EAAEt6E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAMgC,CAAC,CAAC,CAAC,EAAEc,EAAEg1E,GAAG,CAAC,OAAO,CAAC,EAAEj1E,CAAC,EAAE,QAAQ7C,EAAE,MAAM,CAAC,KAAKiC,CAAC,CAAC,CAAC,EAAE+B,EAAE22E,GAAG,CAAC,OAAO,CAAC,EAAE73E,CAAC,EAAE,QAAQ9C,EAAE,MAAM,CAAC,MAAM0C,CAAC,CAAC,CAAC,EAAE,EAAEw2E,GAAG,CAAC,OAAO,CAAC,EAAEl1E,CAAC,EAAE,QAAQhE,EAAE,MAAM,CAAC,MAAM2C,EAAE,KAAKC,CAAC,CAAC,CAAC,EAAE,OAAO5C,EAAE,8BAA8B6C,CAAC,EAAE7C,EAAE,8BAA8B8C,CAAC,EAAE9C,EAAE,8BAA8BgE,CAAC,EAAE,CAAC,CAAC,IAAIy5E,GAAG,CAAC,WAAWthE,GAAG,YAAY,MAAM,WAAWqhE,EAAE,EAAE,SAASE,GAAG59E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE2B,EAAE/B,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO2B,EAAEhC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOiC,EAAE2vE,GAAG7vE,EAAEC,EAAE,EAAE,MAAM,EAAE,MAAM,CAAC,EAAE,OAAOhC,EAAE,eAAe,CAAC,CAAC,EAAE,EAAE,MAAMiC,CAAC,CAAC,CAAC,IAAI07E,GAAG,CAAC,WAAWvhE,GAAG,YAAY,MAAM,WAAWshE,EAAE,EAAE,SAASE,GAAG99E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,GAAGM,EAAE,GAAGC,CAAC,EAAE,EAAE,EAAEL,EAAE,KAAK,IAAII,EAAE,MAAM,EAAE,OAAO,EAAEJ,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO0B,EAAEu4C,EAAE,2BAA2B,MAAM,KAAK,CAAC,EAAE,MAAM,KAAK,CAAC,CAAC,EAAE,OAAOt6C,EAAE,eAAe,CAAC+B,EAAE,MAAM,EAAE,QAAQ,WAAW,KAAKA,CAAC,CAAC,CAAC,CAAC,IAAI87E,GAAG,CAAC,WAAWvhE,GAAG,YAAY,MAAM,WAAWshE,EAAE,EAAME,GAAGjI,GAAGp5D,GAAG,CAAC3c,EAAE,IAAI,CAAC,IAAIE,EAAE,EAAE,OAAOF,EAAEE,EAAE,aAAaA,EAAE,aAAaF,EAAEE,EAAE,aAAaA,EAAE,aAAaF,CAAC,CAAC,EAAEi+E,GAAG,CAAC,WAAWthE,GAAG,YAAY,MAAM,WAAWqhE,EAAE,EAAME,GAAGl+E,GAAG,CAAC,GAAG,CAAC,EAAE,CAAC,EAAEA,EAAE,OAAOE,EAAEF,EAAE,QAAQM,EAAE,IAAI,aAAawmB,EAAE,cAAc,EAAE,KAAK,CAAC,EAAEvmB,EAAEL,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,EAAEK,EAAE,mBAAmB,KAAK,EAAEA,EAAE,mBAAmB,KAAK0B,EAAE/B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOgC,EAAEhC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,QAAQiC,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,CAAC,IAAIS,EAAEX,EAAEE,GAAGU,EAAEX,EAAEC,GAAG7B,EAAE6B,GAAG,KAAK,MAAMS,EAAEC,CAAC,CAAC,CAAC,OAAO3C,EAAE,WAAWI,EAAE,EAAE,MAAM,SAAS,CAAC,EAAE69E,GAAG,CAAC,WAAWthE,GAAG,YAAY,MAAM,WAAWqhE,EAAE,EAAE,SAASE,GAAGp+E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMM,CAAC,EAAE,EAAEC,EAAEL,EAAE,KAAK,IAAII,EAAE,MAAM,EAAE,mBAAmB,KAAK,EAAEJ,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO,OAAOL,EAAE,eAAeK,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,CAAC,IAAI89E,GAAG,CAAC,WAAW7+D,GAAG,YAAY,MAAM,WAAW4+D,EAAE,EAAE,SAASE,GAAGt+E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,KAAKO,CAAC,EAAED,EAAE,EAAEwmB,EAAE,eAAevmB,EAAE,EAAE,GAAG,KAAK,EAAE,GAAG,EAAE,EAAE,IAAI2D,GAAGA,EAAE,KAAK,EAAEs2C,EAAE,uBAAuB,EAAE,CAAC,EAAE,IAAIv4C,EAAEu4C,EAAE,gBAAgB,EAAE,IAAIt2C,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAE,GAAG4iB,EAAE,cAAc7kB,CAAC,IAAI,EAAE,OAAO/B,EAAE,eAAe+B,EAAE,EAAE,GAAG,MAAM,CAAC,CAAC,EAAE,IAAIC,EAAE,EAAE,OAAOgC,GAAG4iB,EAAE,cAAc5iB,EAAE,KAAK,EAAE,CAAC,EAAE,GAAGhC,EAAE,SAAS,EAAE,OAAOizE,GAAG,CAAC,OAAO,CAAC,EAAEjzE,EAAE,EAAE,EAAE,QAAQhC,CAAC,CAAC,EAAE,GAAGgC,EAAE,GAAG,QAAQ,YAAY,CAAC,IAAIgC,EAAEhC,EAAE,IAAI0C,GAAGywE,GAAG,CAAC,OAAO,CAAC,MAAMzwE,CAAC,EAAE,QAAQ1E,CAAC,CAAC,CAAC,EAAE,EAAEgC,EAAE,IAAI0C,GAAGw5E,GAAG,CAAC,OAAO,CAAC,MAAMx5E,CAAC,EAAE,QAAQ1E,CAAC,CAAC,CAAC,EAAEqH,EAAE+2E,GAAG,CAAC,OAAOp6E,EAAE,QAAQhE,EAAE,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE6E,EAAEu5E,GAAG,CAAC,OAAO,EAAE,QAAQp+E,EAAE,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,EAAEyE,EAAEqwE,GAAG,CAAC,OAAO,CAAC,KAAKztE,EAAE,KAAKxC,CAAC,EAAE,QAAQ7E,CAAC,CAAC,EAAE,OAAOgE,EAAE,QAAQU,GAAG1E,EAAE,8BAA8B0E,CAAC,CAAC,EAAE,EAAE,QAAQA,GAAG1E,EAAE,8BAA8B0E,CAAC,CAAC,EAAE1E,EAAE,8BAA8BqH,CAAC,EAAErH,EAAE,8BAA8B6E,CAAC,EAAEJ,CAAC,CAAC,IAAIxC,EAAED,EAAE,IAAIgC,GAAG,CAAC,IAAI,EAAE4iB,EAAE,cAAc5iB,EAAE,MAAM,MAAM,CAAC,CAAC,EAAE,OAAO22E,GAAG,CAAC,OAAO,CAAC,EAAE32E,CAAC,EAAE,QAAQhE,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE0C,EAAET,EAAE,IAAI+B,IAAI,CAAC,KAAKhE,EAAE,KAAK,IAAIgE,EAAE,MAAM,EAAE,OAAO,MAAMA,EAAE,KAAK,EAAE,EAAEjC,EAAEu4C,EAAE,gBAAgBr4C,EAAE,IAAI+B,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAE,IAAIrB,EAAEV,EAAE,GAAG,MAAM,KAAK,EAAEW,EAAEovE,GAAGtvE,EAAEX,EAAE,EAAE,GAAG,MAAMY,CAAC,EAAEE,EAAEy3C,EAAE,gBAAgBt4C,EAAE,IAAIgC,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAElB,EAAE9C,EAAE,eAAe6C,EAAE,EAAE,GAAG,MAAMD,CAAC,EAAE,OAAOX,EAAE,QAAQ+B,GAAGhE,EAAE,8BAA8BgE,CAAC,CAAC,EAAElB,CAAC,CAAC,IAAIu7E,GAAG,CAAC,WAAWzhE,GAAG,YAAY,MAAM,WAAWwhE,EAAE,EAAE,SAASE,GAAGx+E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,WAAWC,EAAE,UAAUC,EAAE,gBAAgBS,CAAC,EAAEtC,EAAEmxE,GAAG,CAAClxE,EAAE,CAAC,EAAE,QAAQ,EAAE,IAAIsC,EAAE23C,EAAE,wBAAwBt4C,CAAC,EAAEY,EAAE03C,EAAE,kBAAkBj6C,EAAE,MAAM,EAAE,MAAM,EAAE4B,EAAEF,EAAEW,EAAE,GAAGC,CAAC,EAAEE,EAAED,EAAE,aAAaE,EAAEF,EAAE,YAAYoB,EAAEpB,EAAE,eAAe,EAAEA,EAAE,cAAcyE,EAAEzE,EAAE,QAAQ,KAAKiC,EAAEjC,EAAE,QAAQ,IAAI6B,EAAE7B,EAAE,aAAa,eAAe8B,EAAE,IAAI0kB,GAAGxmB,EAAE,SAASvC,EAAE,KAAK,EAAEsE,EAAEiiB,EAAE,eAAevmB,EAAE,KAAK,EAAEuE,EAAEgiB,EAAE,eAAe,EAAE,KAAK,EAAEtf,EAAE3C,EAAE,GAAGG,EAAEL,EAAEE,EAAE,GAAGA,EAAE,GAAG4C,EAAE9C,EAAEE,EAAE,GAAG,EAAEI,EAAEN,EAAE,EAAEE,EAAE,GAAGK,EAAEN,EAAE,QAAQ,GAAGO,EAAER,EAAEC,EAAE,QAAQ,GAAGA,EAAE,QAAQ,GAAGQ,EAAET,EAAEC,EAAE,QAAQ,GAAG,EAAES,EAAEV,EAAE,EAAEC,EAAE,QAAQ,GAAGU,EAAEpF,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO0H,EAAE/H,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOyH,EAAE/C,EAAE,OAAO,QAAQsD,EAAE,EAAEA,EAAEpF,EAAE,UAAU,EAAEoF,EAAE,CAAC,IAAIC,EAAGD,EAAEV,EAAEY,EAAGF,EAAEhD,EAAE,QAAQmD,GAAG,EAAEA,GAAGvF,EAAE,UAAU,EAAEuF,GAAG,CAAC,IAAIC,GAAGF,EAAGC,GAAGlD,EAAEoD,GAAGF,GAAGvF,EAAE,aAAaiC,EAAE,QAAQ4B,GAAG,EAAEA,GAAG5D,EAAE,EAAE4D,GAAG,CAAC,IAAI8B,GAAGF,GAAG5B,GAAGzC,EAAE,GAAGuE,GAAG,GAAGA,IAAI3F,EAAE,SAAS,SAAS,IAAI4F,GAAG/B,GAAG7B,EAAE,GAAG6D,GAAGR,EAAGM,GAAGzD,EAAE,QAAQ4D,GAAG,EAAEA,GAAG9F,EAAE,SAAS,EAAE8F,GAAG,CAAC,IAAIC,GAAGP,GAAGM,GAAGxD,EAAE0D,GAAGF,GAAG9F,EAAE,YAAYyE,EAAE,QAAQ4B,GAAG,EAAEA,GAAGnG,EAAE,EAAEmG,GAAG,CAAC,IAAIC,GAAGN,GAAGK,GAAG,EAAE,GAAGC,GAAG,GAAGA,IAAItG,EAAE,QAAQ,SAAS,IAAIuG,GAAGX,GAAGS,GAAGrE,EAAE,GAAG8B,GAAG+B,GAAGS,GAAG3B,EAAEX,GAAGuC,GAAG,QAAQtC,GAAG,EAAEA,GAAGjE,EAAE,WAAW,EAAEiE,GAAG,CAAC,IAAIC,GAAG1B,EAAEsB,GAAGG,GAAG9B,GAAG,QAAQqE,GAAG,EAAEA,GAAGxG,EAAE,YAAY,EAAEwG,GAAG3B,EAAEkB,GAAGS,GAAGjE,IAAI2B,GAAGiB,EAAEnB,GAAGwC,IAAIxC,IAAIhE,EAAE,WAAW,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO5C,EAAE,eAAe0E,EAAE,MAAMA,EAAE,MAAM+C,CAAC,CAAC,CAAC,IAAI82E,GAAG,CAAC,WAAW1hE,GAAG,YAAY,MAAM,WAAWyhE,EAAE,EAAE,SAASE,GAAG1+E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,WAAWC,EAAE,gBAAgBC,EAAE,YAAYS,CAAC,EAAEtC,EAAEmxE,GAAG,CAAClxE,EAAE,CAAC,EAAE,sBAAsB,EAAE,IAAIsC,EAAE23C,EAAE,wBAAwBt4C,CAAC,EAAEY,EAAE03C,EAAE,kBAAkBj6C,EAAE,MAAMqC,EAAE,EAAE,EAAEX,EAAEE,EAAE,GAAGU,CAAC,EAAE,CAAC,aAAaE,EAAE,YAAYC,EAAE,aAAakB,EAAE,YAAY,CAAC,EAAEpB,EAAEyE,EAAEzE,EAAE,aAAa,eAAeiC,EAAE,IAAIukB,GAAGxmB,EAAE,YAAY,SAAS,EAAE6B,EAAE7B,EAAE,QAAQ,KAAK8B,EAAE9B,EAAE,QAAQ,IAAI+B,EAAE3E,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOuE,EAAE5E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOsH,EAAE,IAAI8hB,GAAG/oB,EAAE,MAAMA,EAAE,MAAMsE,CAAC,EAAEG,EAAE,IAAIskB,GAAG,EAAE,MAAM,EAAE,MAAMxkB,CAAC,EAAE,QAAQ2C,EAAE,EAAEA,EAAEvD,EAAE,EAAEuD,EAAE,CAAC,IAAIxC,EAAE,KAAK,IAAI,EAAE,KAAK,MAAML,EAAE6C,GAAG1E,CAAC,CAAC,EAAEmC,EAAE,KAAK,IAAIpC,EAAE,WAAWA,EAAE,SAAS8B,EAAE6C,GAAG1E,CAAC,EAAE,QAAQoC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAE,KAAK,IAAI,EAAE,KAAK,MAAMT,EAAEQ,GAAGnC,CAAC,CAAC,EAAEqC,EAAE,KAAK,IAAIvC,EAAE,UAAUA,EAAE,QAAQ6B,EAAEQ,GAAGnC,CAAC,EAAE,QAAQsC,EAAE,EAAEA,EAAExC,EAAE,WAAW,EAAEwC,EAAE,QAAQ2C,EAAE,EAAEA,EAAEnF,EAAE,YAAY,EAAEmF,EAAE,CAAC,IAAIN,EAAE,EAAE,QAAQO,EAAE,EAAEA,EAAEpF,EAAE,UAAU,EAAEoF,EAAE,QAAQC,EAAGlD,EAAEkD,EAAGjD,EAAE,EAAEiD,EAAG,CAAC,IAAIC,EAAGX,EAAEU,EAAGpF,EAAE6B,EAAE,QAAQyD,GAAGjD,EAAEiD,GAAGhD,EAAE,EAAEgD,GAAG,CAAC,IAAIC,GAAGnD,EAAEkD,GAAGrF,EAAE2B,EAAE4C,EAAEI,GAAGH,EAAE,IAAIU,EAAEE,EAAGE,GAAGhD,CAAC,EAAEN,EAAE,IAAIkD,EAAEC,EAAGE,GAAGJ,CAAC,EAAEN,GAAGH,EAAE,IAAIU,EAAE5C,EAAE8C,EAAGE,EAAE,EAAEtD,EAAE,IAAIkD,EAAED,EAAEE,EAAGE,EAAE,CAAC,CAAC,CAACtD,EAAE,IAAI4C,EAAEF,EAAEtC,EAAEG,EAAE2C,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO/H,EAAE,eAAe6E,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAI45E,GAAG,CAAC,WAAW3hE,GAAG,YAAY,MAAM,WAAW0hE,EAAE,EAAE,SAASE,GAAG5+E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ0B,EAAE,IAAIC,EAAE,WAAWC,EAAE,gBAAgBS,CAAC,EAAEtC,EAAEmxE,GAAG,CAAClxE,EAAE,CAAC,EAAE,qBAAqB,EAAE,IAAIsC,EAAEikB,EAAE,eAAe,EAAE,KAAK,EAAEhkB,EAAEgkB,EAAE,eAAevmB,EAAE,KAAK,EAAEwC,EAAEy3C,EAAE,wBAAwBr4C,CAAC,EAAEa,EAAEw3C,EAAE,kBAAkB,EAAE,EAAE,MAAMv4C,EAAE,EAAEC,EAAEU,EAAE,GAAGG,CAAC,EAAEmB,EAAE,IAAIolB,GAAGtmB,EAAE,QAAQ,SAAS,EAAE,EAAEkB,EAAE,OAAOqD,EAAErH,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOwE,EAAE7E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAACyE,EAAEC,EAAEC,CAAC,EAAEhC,EAAE,CAAC,UAAUiC,EAAE,aAAa0C,EAAE,YAAYxC,EAAE,WAAWyC,EAAE,SAASxC,EAAE,QAAQC,EAAE,YAAYC,EAAE,UAAUC,EAAE,SAASC,EAAE,aAAaC,EAAE,YAAY2C,CAAC,EAAEjF,EAAED,EAAEC,EAAE,WAAW,IAAI2E,EAAEH,EAAE,EAAExE,EAAE,QAAQ,IAAIkF,EAAElD,EAAE,EAAEhC,EAAE,QAAQ,KAAKmF,EAAGpF,IAAI,eAAeqF,EAAGlE,EAAE,QAAQ,GAAGmE,GAAGF,EAAGjE,EAAE,QAAQ,GAAGA,EAAE,QAAQ,GAAGoE,GAAGH,EAAGjE,EAAE,QAAQ,GAAG,EAAEqE,GAAGJ,EAAG,EAAEjE,EAAE,QAAQ,GAAGyC,GAAG7D,EAAE,GAAG2F,GAAGN,EAAGrF,EAAE,GAAGA,EAAE,GAAG4F,GAAGP,EAAGrF,EAAE,GAAG,EAAE6F,GAAGR,EAAG,EAAErF,EAAE,GAAG,QAAQ8F,GAAG,EAAEA,GAAG9D,EAAE,EAAE8D,GAAG,QAAQC,GAAG,EAAEA,GAAGpB,EAAE,EAAEoB,GAAG,QAAQC,GAAG,EAAEA,GAAG7D,EAAE,EAAE6D,GAAG,CAAC,IAAIK,GAAGL,GAAGnB,EAAEyB,GAAG,KAAK,IAAI,EAAE,KAAK,KAAKD,GAAG7D,CAAC,CAAC,EAAE+D,GAAG,KAAK,IAAIjE,GAAGoC,EAAE2B,IAAI7D,CAAC,EAAE,QAAQsB,GAAG,EAAEA,GAAG1B,EAAE,EAAE0B,GAAG,CAAC,IAAIE,GAAGF,GAAGsB,EAAEnB,GAAG,KAAK,IAAI,EAAE,KAAK,KAAKD,GAAGmB,CAAC,CAAC,EAAEjB,GAAG,KAAK,IAAI3B,GAAGL,EAAE8B,IAAImB,CAAC,EAAEqB,GAAG,EAAE,QAAQpC,GAAGkC,GAAGlC,GAAGmC,GAAG,EAAEnC,GAAG,CAAC,IAAIC,GAAGD,GAAG5B,EAAE6D,GAAG,QAAQ/B,GAAGL,GAAGK,GAAGJ,GAAG,EAAEI,GAAG,CAAC,IAAIP,GAAGO,GAAGa,EAAEnB,GAAGyC,GAAG5C,GAAGiC,GAAGH,GAAGvB,GAAGwB,GAAGtB,GAAGoC,GAAG7E,GAAG6C,EAAE,EAAEL,IAAIvC,GAAGI,EAAE,EAAE6B,IAAIhC,EAAEgE,GAAG,QAAQY,GAAG,EAAEA,GAAGtE,EAAE,EAAEsE,GAAG,CAAC,IAAIC,GAAGnC,EAAEgC,GAAGZ,GAAGc,IAAIE,GAAG5E,EAAEyE,GAAGC,IAAIH,IAAII,GAAGC,EAAE,CAAC,CAAC,CAAC,IAAI1C,GAAGmB,EAAGQ,GAAGP,GAAGS,GAAGR,GAAG1B,GAAG2B,GAAGM,GAAG,EAAE5B,IAAIqC,EAAE,CAAC,CAAC,OAAOpJ,EAAE,eAAegE,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAI26E,GAAG,CAAC,WAAW5hE,GAAG,YAAY,MAAM,WAAW2hE,EAAE,EAAE,SAASE,GAAG9+E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,UAAUC,CAAC,EAAE5B,EAAEmxE,GAAG,CAAClxE,EAAE,CAAC,EAAE,QAAQ,EAAE,IAAI4B,EAAEq4C,EAAE,kBAAkBj6C,EAAE,MAAM,EAAE,MAAM,EAAE2B,EAAED,CAAC,EAAE,CAAC,YAAYW,EAAE,aAAaC,EAAE,YAAYC,EAAE,cAAcC,EAAE,eAAeC,EAAE,cAAckB,EAAE,QAAQ,CAAC,EAAE/B,EAAEoF,EAAE,EAAE,MAAMxC,EAAE,EAAE,KAAKJ,EAAE,EAAE,IAAIC,EAAE,IAAI0kB,GAAGnnB,EAAE,SAAS5B,EAAE,KAAK,EAAEsE,EAAE3E,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOuE,EAAE5E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOsH,EAAE5C,EAAE,OAAOI,EAAE8hB,EAAE,eAAevmB,EAAE,KAAK,EAAEkH,EAAEqf,EAAE,eAAe,EAAE,KAAK,EAAE,QAAQ7hB,EAAE,EAAEA,EAAE9C,EAAE,UAAU,EAAE8C,EAAE,CAAC,IAAIC,EAAED,EAAED,EAAE,GAAGG,EAAEF,EAAEL,EAAE,QAAQ,GAAG,QAAQQ,EAAE,EAAEA,EAAEjD,EAAE,SAAS,EAAEiD,EAAE,CAAC,IAAIC,EAAEF,EAAEC,EAAER,EAAE,QAAQ,GAAGU,EAAEF,EAAEjD,EAAE,YAAYoF,EAAE,QAAQU,EAAE,EAAEA,EAAErF,EAAE,EAAEqF,EAAE,CAAC,IAAIN,EAAErC,EAAE2C,EAAElF,EAAE,GAAG4E,EAAE,GAAGA,GAAGxF,EAAE,QAAQ,SAAS,IAAI+F,EAAED,EAAER,EAAE,GAAGU,EAAGjD,EAAEyC,EAAE3C,EAAE,GAAG,QAAQoD,EAAG,EAAEA,EAAGjG,EAAE,UAAU,EAAEiG,EAAG,CAAC,IAAIC,GAAGhD,EAAE+C,EAAGxD,EAAE,QAAQ,GAAG0D,GAAGF,EAAGjG,EAAE,aAAawC,EAAE,QAAQ4D,GAAG,EAAEA,GAAG1F,EAAE,EAAE0F,GAAG,CAAC,IAAI5B,GAAG2B,GAAGC,GAAGvF,EAAE,GAAG2D,GAAG,GAAGA,IAAIxE,EAAE,SAAS,SAAS,IAAIsG,GAAGP,EAAEK,GAAGd,EAAE,GAAGiB,GAAGP,EAAGxB,GAAG3B,EAAE,GAAG,QAAQ2D,GAAG,EAAEA,GAAGxG,EAAE,SAAS,EAAEwG,GAAG,CAAC,IAAIC,GAAGP,GAAGM,GAAGxG,EAAE,YAAY0G,GAAGF,GAAGxG,EAAE,YAAY4C,EAAE,QAAQ+D,GAAG,EAAEA,GAAGhG,EAAE,EAAEgG,GAAG,CAAC,IAAIK,GAAGN,GAAGC,GAAG5E,EAAE,GAAGiF,GAAG,GAAGA,IAAIhH,EAAE,QAAQ,SAAS,IAAIiH,GAAGX,GAAGK,GAAGrB,EAAE,GAAG4B,GAAGX,GAAGS,GAAGhH,EAAE,WAAWyE,GAAGwC,GAAG,QAAQtC,GAAG,EAAEA,GAAG3E,EAAE,WAAW,EAAE2E,GAAG,CAAC,IAAIC,GAAGlC,EAAEwE,GAAGvC,IAAI,QAAQE,GAAG,EAAEA,GAAG7E,EAAE,YAAY,EAAE6E,GAAGQ,EAAEoB,GAAG5B,KAAKD,GAAGjC,EAAE8B,GAAGI,IAAIJ,IAAIzE,EAAE,WAAW,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOjC,EAAE,eAAe0E,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIm6E,GAAG,CAAC,WAAW7hE,GAAG,YAAY,MAAM,WAAW4hE,EAAE,EAAE,SAASE,GAAGh/E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,YAAYC,CAAC,EAAE5B,EAAEmxE,GAAG,CAAClxE,EAAE,CAAC,EAAE,wBAAwB,EAAE,IAAI4B,EAAE2kB,EAAE,eAAevmB,EAAE,KAAK,EAAEqC,EAAEkkB,EAAE,eAAe,EAAE,KAAK,EAAEjkB,EAAE23C,EAAE,kBAAkBj6C,EAAE,MAAM2B,EAAE,EAAE,EAAED,CAAC,EAAEa,EAAED,EAAE,YAAYE,EAAEF,EAAE,aAAaG,EAAEH,EAAE,YAAYqB,EAAErB,EAAE,YAAY,EAAEA,EAAE,aAAa0E,EAAE1E,EAAE,YAAYkC,EAAE,IAAIukB,GAAGzmB,EAAE,YAAY,SAAS,EAAE8B,EAAEI,EAAE,OAAO,CAACH,EAAEC,EAAEC,EAAE0C,CAAC,EAAEzC,EAAE,QAAQC,EAAE9E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAACuH,EAAExC,EAAEC,EAAEC,CAAC,EAAEvC,EAAEwC,EAAElF,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO,CAAC8E,EAAEC,EAAE2C,EAAEN,CAAC,EAAExF,EAAE+F,EAAErF,EAAE,QAAQ,MAAMsF,EAAGtF,EAAE,QAAQ,KAAKuF,EAAGvF,EAAE,QAAQ,IAAI,QAAQwF,GAAG,EAAEA,GAAGnE,EAAE,EAAEmE,GAAG,CAAC,IAAIC,GAAG,KAAK,IAAI,EAAE,KAAK,MAAMJ,EAAEG,IAAIvF,CAAC,CAAC,EAAEyF,GAAG,KAAK,IAAI1F,EAAE,UAAUA,EAAE,QAAQqF,EAAEG,IAAIvF,CAAC,EAAE6D,GAAG0B,GAAGzD,EAAE,QAAQ6D,GAAG,EAAEA,GAAG,EAAE,EAAEA,GAAG,CAAC,IAAIC,GAAG,KAAK,IAAI,EAAE,KAAK,MAAMN,EAAGK,IAAI1F,CAAC,CAAC,EAAE4F,GAAG,KAAK,IAAI9F,EAAE,WAAWA,EAAE,SAASuF,EAAGK,IAAI1F,CAAC,EAAE6F,GAAGH,GAAG5D,EAAE8B,GAAG,QAAQkC,GAAG,EAAEA,GAAGtB,EAAE,EAAEsB,GAAG,CAAC,IAAIC,GAAG,KAAK,IAAI,EAAE,KAAK,MAAMX,EAAGU,IAAI7F,CAAC,CAAC,EAAEmG,GAAG,KAAK,IAAItG,EAAE,UAAUA,EAAE,QAAQsF,EAAGU,IAAI7F,CAAC,EAAEoG,GAAGP,GAAG/D,EAAE8D,GAAG,QAAQS,GAAG,EAAEA,GAAGxG,EAAE,WAAW,EAAEwG,GAAG,CAAC,IAAIzC,GAAGyC,GAAG7B,EAAE4B,GAAG,QAAQtC,GAAG,EAAEA,GAAGjE,EAAE,YAAY,EAAEiE,GAAG,CAAC,IAAIC,GAAG,EAAE,QAAQC,GAAG,EAAEA,GAAGnE,EAAE,UAAU,EAAEmE,GAAG,CAAC,IAAIsC,GAAGtC,GAAG3B,EAAE4B,GAAGD,GAAGS,EAAE,QAAQP,GAAGoB,GAAGpB,GAAGqB,GAAG,EAAErB,GAAG,CAAC,IAAIE,IAAIiB,GAAGnB,GAAGpE,EAAEoF,GAAG5C,EAAEgE,GAAGzC,GAAGK,GAAGjC,EAAEgC,GAAG,QAAQsC,GAAGb,GAAGa,GAAGZ,GAAG,EAAEY,GAAG,CAAC,IAAIE,IAAIhB,GAAGc,GAAGxG,EAAEqF,GAAIH,EAAEb,GAAGsC,GAAGH,GAAGrE,EAAE2B,GAAG,QAAQ8C,GAAGb,GAAGa,GAAGR,GAAG,EAAEQ,GAAG,CAAC,IAAI3B,IAAIa,GAAGc,GAAG3G,EAAEmF,GAAIR,EAAE8B,GAAGI,GAAGF,GAAGxE,EAAEuE,GAAG3C,IAAI3B,EAAE4C,GAAGqB,IAAIrE,EAAE6E,GAAG/C,GAAG,CAAC,CAAC,CAAC,CAACnC,EAAEiC,GAAGE,IAAIC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO7G,EAAE,eAAe6E,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIk6E,GAAG,CAAC,WAAW9hE,GAAG,YAAY,MAAM,WAAW6hE,EAAE,EAAE,SAASE,GAAGl/E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,IAAI,EAAE,QAAQ0B,EAAE,WAAWC,CAAC,EAAE5B,EAAEmxE,GAAG,CAAClxE,CAAC,EAAE,uBAAuB,EAAE,IAAI4B,EAAE2kB,EAAE,eAAevmB,EAAE,KAAK,EAAEqC,EAAEkkB,EAAE,eAAe,EAAE,KAAK,EAAEjkB,EAAE23C,EAAE,kBAAkBt4C,EAAE,EAAE,MAAMD,EAAE,EAAE,CAAC,EAAEa,EAAE,IAAIwmB,GAAGzmB,EAAE,QAAQ,SAAS,EAAEE,EAAED,EAAE,OAAO,CAACE,EAAEkB,EAAE,EAAEqD,CAAC,EAAEzE,EAAE,QAAQiC,EAAE7E,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO,CAACoE,EAAEC,EAAEC,EAAEC,CAAC,EAAE3C,EAAEqF,EAAEtH,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC8E,EAAEyC,EAAExC,EAAEC,CAAC,EAAEtC,EAAE,CAAC,UAAUuC,EAAE,YAAYC,EAAE,aAAaC,EAAE,YAAYC,EAAE,WAAW2C,EAAE,QAAQN,EAAE,SAASO,EAAE,QAAQC,EAAG,YAAYC,EAAG,SAASC,GAAG,UAAUC,GAAG,SAASC,GAAG,YAAY5B,GAAG,aAAa8B,GAAG,YAAYC,EAAE,EAAE7F,EAAE8F,GAAGvD,EAAE,EAAEvC,EAAE,QAAQ,MAAM+F,GAAGvD,EAAE,EAAExC,EAAE,QAAQ,IAAIgG,GAAGvD,EAAE,EAAEzC,EAAE,QAAQ,KAAK,QAAQiG,GAAG,EAAEA,GAAG3D,EAAE,EAAE2D,GAAG,QAAQK,GAAG,EAAEA,GAAGlB,EAAE,EAAEkB,GAAG,QAAQC,GAAG,EAAEA,GAAGzB,EAAE,EAAEyB,GAAG,CAAC,IAAIC,GAAGD,GAAGT,GAAG/B,GAAG,KAAK,IAAI,EAAE,KAAK,KAAKyC,GAAG1C,EAAE,CAAC,EAAEG,GAAG,KAAK,IAAIuB,IAAIjD,EAAEiE,IAAI1C,EAAE,EAAE,QAAQI,GAAG,EAAEA,GAAGmB,EAAE,EAAEnB,GAAG,CAAC,IAAIC,GAAGD,GAAG6B,GAAGU,GAAG,KAAK,IAAI,EAAE,KAAK,KAAKtC,GAAGyB,EAAE,CAAC,EAAExB,GAAG,KAAK,IAAIqB,IAAIjD,EAAE2B,IAAIyB,EAAE,EAAE,QAAQvB,GAAG,EAAEA,GAAGiB,EAAG,EAAEjB,GAAG,CAAC,IAAIC,GAAGD,GAAG2B,GAAGzB,GAAG,KAAK,IAAI,EAAE,KAAK,KAAKD,GAAGuB,EAAE,CAAC,EAAE7B,GAAG,KAAK,IAAI0B,IAAIjD,EAAE6B,IAAIuB,EAAE,EAAEa,GAAG,EAAE,QAAQC,GAAG5C,GAAG4C,GAAG1C,GAAG,EAAE0C,GAAG,CAAC,IAAIC,GAAGD,GAAG7C,GAAG0C,GAAG,QAAQK,GAAGJ,GAAGI,GAAGzC,GAAG,EAAEyC,GAAG,CAAC,IAAIC,GAAGD,GAAGjB,GAAGzB,GAAG,QAAQ4C,GAAGxC,GAAGwC,GAAG/C,GAAG,EAAE+C,GAAG,CAAC,IAAI,GAAGA,GAAGlB,GAAGvB,GAAG0C,GAAGlF,EAAEmE,GAAGlE,EAAE4E,GAAG3E,EAAE6E,GAAG5E,EAAE8E,GAAGI,GAAGhF,GAAGI,EAAE,EAAEqE,IAAIhC,GAAGpC,EAAE,EAAEsE,IAAI1E,GAAGK,EAAE,EAAE,IAAIJ,EAAEiE,GAAG,QAAQc,GAAG,EAAEA,GAAG7B,EAAG,EAAE6B,GAAG,CAAC,IAAIH,GAAG/E,EAAE8E,GAAGI,IAAIE,GAAG3C,EAAEwC,GAAGC,IAAIV,IAAIO,GAAGK,EAAE,CAAC,CAAC,CAAC,CAACpH,EAAEC,EAAE8F,GAAG5E,EAAEkF,GAAG,EAAErC,GAAGQ,EAAEL,GAAGiC,IAAII,EAAE,CAAC,CAAC,CAAC,OAAOrJ,EAAE,eAAe4C,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIq8E,GAAG,CAAC,WAAW/hE,GAAG,YAAY,MAAM,WAAW8hE,EAAE,EAAME,GAAGrJ,GAAG14D,GAAGrd,GAAG,KAAK,IAAIA,CAAC,CAAC,EAAEq/E,GAAG,CAAC,WAAWhiE,GAAG,YAAY,MAAM,WAAW+hE,EAAE,EAAME,GAAGvJ,GAAGz4D,GAAGtd,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAEu/E,GAAG,CAAC,WAAWjiE,GAAG,YAAY,MAAM,WAAWgiE,EAAE,EAAE,SAASE,GAAGx/E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,SAAS0B,EAAE,OAAOC,EAAE,mBAAmBC,CAAC,EAAE7B,EAAE,CAACsC,EAAEC,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAMyC,EAAE,EAAE,MAAM,GAAG,CAACkB,EAAE,CAAC,EAAEjC,EAAEsF,EAAEgpB,GAAG,CAACvtB,EAAEkB,EAAE,EAAEnB,CAAC,EAAE,SAAS,EAAEgC,EAAE7E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOyE,EAAEzE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO0E,EAAE1E,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOsE,EAAEiiB,EAAE,eAAevmB,EAAE,KAAK,EAAEuE,EAAEgiB,EAAE,eAAevf,EAAE,KAAK,EAAE,QAAQC,EAAE,EAAEA,EAAExE,EAAEwE,IAAI,CAAC,IAAIxC,EAAEwC,EAAE,EAAEC,EAAE1C,EAAEC,GAAGC,EAAEF,EAAEC,EAAE,GAAGE,EAAEH,EAAEC,EAAE,GAAGG,EAAEJ,EAAEC,EAAE,GAAGI,EAAET,EAAE6C,GAAG,GAAGpC,GAAGxC,EAAE,SAAS,IAAIyC,EAAEnB,EAAE,GAAGgB,EAAEuC,IAAI5E,EAAE,IAAIqB,EAAE,GAAG,EAAEoB,EAAE,EAAE,GAAGH,EAAEF,IAAInC,EAAE,IAAI,EAAE,GAAG,EAAE,QAAQmF,EAAE,EAAEA,EAAE/D,EAAE+D,IAAI,CAAC,IAAIN,EAAEzD,EAAE,EAAEuD,GAAG5E,EAAE,GAAGoF,EAAE5C,EAAE,IAAIoC,EAAEvC,IAAIrC,EAAE,GAAG,GAAG8E,EAAE,GAAGA,EAAE9E,EAAE,EAAE,CAAC,QAAQqF,EAAE,EAAEA,EAAE,EAAEA,IAAI,QAAQC,EAAG,EAAEA,EAAGpF,EAAEoF,IAAK,CAAC,IAAIC,EAAGD,EAAGD,EAAEpD,EAAE,GAAGmD,EAAEnD,EAAE,GAAG0C,EAAE1C,EAAE,GAAGyC,EAAE,OAAOa,GAAIjG,CAAC,CAAC,QAAQ,CAAC,GAAGD,IAAI,WAAW,CAAC,IAAIgG,EAAE,KAAK,MAAMP,CAAC,EAAEQ,EAAG,KAAK,KAAKR,CAAC,EAAES,EAAGT,EAAEO,EAAE,QAAQG,GAAG,EAAEA,GAAG,EAAEA,KAAK,CAAC,IAAIC,GAAG,EAAE,EAAErD,GAAGnC,EAAE,GAAGuF,GAAG/C,EAAE,IAAIL,EAAEE,IAAIrC,EAAE,GAAG,GAAGwF,GAAG,GAAGA,GAAGxF,EAAE,EAAE,CAAC,QAAQ4F,GAAG,EAAEA,GAAG3F,EAAE2F,KAAK,CAAC,IAAIC,GAAGD,GAAGL,GAAGvD,EAAE,GAAGmD,EAAEnD,EAAE,GAAG0C,EAAE1C,EAAE,GAAGyC,EAAE,OAAOoB,IAAIxG,CAAC,CAAC,QAAQ,CAAC,IAAIoG,GAAG,KAAK,MAAMD,EAAE,EAAE3B,GAAG,KAAK,KAAK2B,EAAE,EAAEG,GAAGH,GAAGC,GAAG,QAAQG,GAAG,EAAEA,GAAG3F,EAAE2F,KAAK,CAAC,IAAIC,GAAGD,GAAGH,GAAG1D,EAAE,GAAGqD,EAAErD,EAAE,GAAGO,EAAEP,EAAE,GAAG+D,GAAGhE,EAAE+D,IAAIA,GAAGD,GAAG/B,GAAG9B,EAAE,GAAGqD,EAAErD,EAAE,GAAGO,EAAEP,EAAE,GAAG,IAAIgE,GAAGjE,EAAE+D,IAAIA,GAAGD,GAAGH,GAAG1D,EAAE,GAAGsD,EAAGtD,EAAE,GAAGO,EAAEP,EAAE,GAAG,IAAIiE,GAAGlE,EAAE+D,IAAIA,GAAGD,GAAG/B,GAAG9B,EAAE,GAAGsD,EAAGtD,EAAE,GAAGO,EAAEP,EAAE,GAAG,IAAIsE,GAAGvE,EAAE+D,IAAIS,GAAGR,IAAIC,GAAGD,IAAIH,GAAGY,GAAGP,IAAIK,GAAGL,IAAIL,GAAGE,GAAGD,GAAGL,GAAGvD,EAAE,GAAGmD,EAAEnD,EAAE,GAAG0C,EAAE1C,EAAE,GAAGyC,EAAE,OAAOoB,IAAIS,IAAIC,GAAGD,IAAIhB,CAAE,CAAC,CAAC,KAAM,SAAQF,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAG,EAAE,EAAElD,GAAGnC,EAAE,GAAGoF,EAAE5C,EAAE,IAAIL,EAAEE,IAAIrC,EAAE,GAAG,GAAGqF,EAAG,GAAGA,EAAGrF,EAAE,EAAE,CAAC,QAAQwF,GAAG,EAAEA,GAAGvF,EAAEuF,KAAK,CAAC,IAAIC,GAAGD,GAAGJ,EAAEpD,EAAE,GAAGmD,EAAEnD,EAAE,GAAG0C,EAAE1C,EAAE,GAAGyC,EAAE,OAAOgB,IAAIpG,CAAC,CAAC,QAAQ,CAAC,IAAIiG,EAAG,KAAK,MAAMD,CAAE,EAAEE,GAAG,KAAK,MAAMV,CAAC,EAAE,QAAQW,GAAG,EAAEA,GAAGvF,EAAEuF,KAAK,CAAC,IAAIC,GAAGD,GAAGF,EAAGvD,EAAE,GAAGwD,GAAGxD,EAAE,GAAGO,EAAEP,EAAE,GAAG8B,GAAG2B,GAAGJ,EAAEpD,EAAE,GAAGmD,EAAEnD,EAAE,GAAG0C,EAAE1C,EAAE,GAAGyC,EAAE,OAAOZ,IAAI/B,EAAE2D,GAAG,CAAC,CAAC,CAAC,CAAC,OAAOrI,EAAE,eAAeqH,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIk4E,GAAG,CAAC,WAAWhiE,GAAG,YAAY,MAAM,WAAW+hE,EAAE,EAAE,SAASE,GAAG1/E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU,EAAE,QAAQ0B,CAAC,EAAE3B,EAAEmxE,GAAGlxE,EAAE,SAAS,EAAE,IAAI2B,EAAEs4C,EAAE,mBAAmB,CAAC,CAAC,EAAEj6C,EAAE,MAAM,MAAM,EAAE4B,EAAE5B,EAAE2B,GAAG,OAAOC,EAAE61E,GAAG,CAAC,OAAO,CAAC,EAAEz3E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAKgC,CAAC,CAAC,CAAC,GAAG,IAAIU,EAAE43C,EAAE,iBAAiB,EAAEj6C,EAAE,MAAM,MAAM,EAAE,GAAG,GAAGqC,IAAIT,EAAE,MAAM,OAAO,EAAE,MAAM,IAAI,MAAM,qDAAqDA,EAAE,MAAM,OAAO,kBAAkBS,GAAG,EAAE,IAAIC,EAAE8nB,GAAGxoB,EAAE,MAAM,OAAO,EAAEW,EAAEgkB,EAAE,mBAAmBA,EAAE,cAAc3kB,EAAE,KAAK,EAAEU,CAAC,EAAEE,EAAE7C,EAAE,KAAK,IAAIiC,EAAE,MAAM,EAAE,OAAOa,EAAEb,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAG+B,EAAEjC,EAAE,CAACsF,EAAExC,IAAIwC,EAAEvE,EAAE+B,EAAE,EAAE,CAACwC,EAAExC,IAAIwC,EAAExC,EAAE,QAAQwC,EAAE,EAAEA,EAAExE,EAAE,OAAOwE,GAAGvE,EAAE,QAAQ+B,EAAE,EAAEA,EAAE/B,EAAE+B,IAAI,CAAC,IAAIJ,EAAET,EAAEqD,EAAExC,CAAC,EAAE,GAAGA,IAAI,EAAEjC,EAAE6B,GAAG,EAAE,EAAE5B,EAAE4B,OAAO,CAAC,IAAIC,EAAEV,EAAEqD,EAAExC,EAAE,CAAC,EAAEjC,EAAE6B,GAAG,EAAE5B,EAAE6B,GAAG9B,EAAE8B,GAAG7B,EAAE4B,GAAG7B,EAAE8B,EAAE,CAAC,CAAC,IAAI,EAAE1E,EAAE,eAAeiC,EAAE,MAAMU,EAAEC,CAAC,EAAE,GAAGZ,GAAG,KAAK,CAAC,IAAIqF,EAAEizC,EAAE,uBAAuBt4C,CAAC,EAAE6C,EAAEizE,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ93E,EAAE,MAAM,CAAC,KAAKqH,CAAC,CAAC,CAAC,EAAE,OAAOrH,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8BiC,CAAC,EAAE4C,CAAC,CAAC,OAAO,CAAC,CAAC,IAAI46E,GAAG,CAAC,WAAWpiE,GAAG,YAAY,MAAM,WAAWmiE,EAAE,EAAE,SAASE,GAAG5/E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU,EAAE,QAAQ0B,CAAC,EAAE3B,EAAEmxE,GAAGlxE,EAAE,QAAQ,EAAE,IAAI2B,EAAEs4C,EAAE,mBAAmB,CAAC,CAAC,EAAEj6C,EAAE,MAAM,MAAM,EAAE4B,EAAE5B,EAAE2B,GAAG,OAAOC,EAAE61E,GAAG,CAAC,OAAO,CAAC,EAAEz3E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAKgC,CAAC,CAAC,CAAC,GAAG,IAAIU,EAAE43C,EAAE,iBAAiB,EAAEj6C,EAAE,MAAM,MAAM,EAAE,GAAG,GAAGqC,IAAIT,EAAE,MAAM,OAAO,EAAE,MAAM,IAAI,MAAM,oDAAoDA,EAAE,MAAM,OAAO,kBAAkBS,GAAG,EAAE,IAAIC,EAAE8nB,GAAGxoB,EAAE,MAAM,OAAO,EAAEW,EAAEgkB,EAAE,oBAAoBA,EAAE,cAAc3kB,EAAE,KAAK,EAAEU,CAAC,EAAEE,EAAE7C,EAAE,KAAK,IAAIiC,EAAE,MAAM,EAAE,OAAOa,EAAEb,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAG+B,EAAEjC,EAAE,CAACsF,EAAExC,IAAIwC,EAAEvE,EAAE+B,EAAE,EAAE,CAACwC,EAAExC,IAAIwC,EAAExC,EAAE,QAAQwC,EAAE,EAAEA,EAAExE,EAAE,OAAOwE,GAAGvE,EAAE,QAAQ+B,EAAE,EAAEA,EAAE/B,EAAE+B,IAAI,CAAC,IAAIJ,EAAET,EAAEqD,EAAExC,CAAC,EAAE,GAAGA,IAAI,EAAEjC,EAAE6B,GAAG,EAAE,EAAE5B,EAAE4B,OAAO,CAAC,IAAIC,EAAEV,EAAEqD,EAAExC,EAAE,CAAC,EAAEjC,EAAE6B,GAAG,EAAE5B,EAAE6B,GAAG9B,EAAE8B,GAAG7B,EAAE4B,GAAG7B,EAAE8B,EAAE,CAAC,CAAC,IAAI,EAAE1E,EAAE,eAAeiC,EAAE,MAAMU,EAAEC,CAAC,EAAE,GAAGZ,GAAG,KAAK,CAAC,IAAIqF,EAAEizC,EAAE,uBAAuBt4C,CAAC,EAAE6C,EAAEizE,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ93E,EAAE,MAAM,CAAC,KAAKqH,CAAC,CAAC,CAAC,EAAE,OAAOrH,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8BiC,CAAC,EAAE4C,CAAC,CAAC,OAAO,CAAC,CAAC,IAAI86E,GAAG,CAAC,WAAWriE,GAAG,YAAY,MAAM,WAAWoiE,EAAE,EAAE,SAASE,GAAG9/E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,aAAa0B,CAAC,EAAE3B,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,CAAC,IAAI2B,EAAEhC,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO4B,EAAEjC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO0C,EAAEkvE,GAAG5vE,EAAEC,EAAE,EAAE,MAAM,EAAE,MAAM,CAAC,EAAE,OAAOjC,EAAE,eAAe,CAAC,CAAC,EAAE,EAAE,MAAM0C,CAAC,CAAC,SAASrC,EAAE,MAAM,SAAS,EAAE,CAAC,IAAI2B,EAAEhC,EAAE,WAAWK,CAAC,EAAE4B,EAAEjC,EAAE,WAAW,CAAC,EAAE0C,EAAEmvE,GAAG7vE,EAAEC,EAAE,EAAEF,CAAC,EAAE,OAAO/B,EAAE,eAAe0C,EAAE,MAAM,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,MAAM,IAAI,MAAM,qEAAqErC,EAAE,MAAM,SAAS,CAAC,CAAC,IAAIw/E,GAAG,CAAC,WAAWriE,GAAG,YAAY,MAAM,WAAWoiE,EAAE,EAAE,SAASE,GAAGhgF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,UAAU,EAAE,WAAW,CAAC,EAAED,EAAEwmB,EAAE,OAAO,IAAI,OAAO,IAAI,+DAA+D,GAAG,EAAE,IAAI7kB,EAAE1B,EAAE,MAAM,GAAG2B,EAAE3B,EAAE,MAAM,GAAG4B,EAAE5B,EAAE,MAAM,GAAGqC,EAAErC,EAAE,MAAM,GAAGsC,EAAEX,EAAE,EAAEY,EAAEX,EAAE,EAAEY,EAAEH,GAAG,EAAE,GAAGI,EAAE9C,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO2D,EAAE,IAAI,aAAajC,EAAEY,EAAEC,EAAEC,CAAC,EAAE,EAAE,EAAE,QAAQwE,EAAE,EAAEA,EAAEtF,EAAE,EAAEsF,EAAE,QAAQxC,EAAE,EAAEA,EAAElC,EAAE,EAAEkC,EAAE,CAAC,IAAIJ,EAAE,KAAK,MAAMI,EAAE,CAAC,EAAEH,EAAEG,EAAE,EAAE,QAAQF,EAAE,EAAEA,EAAE/B,EAAE,EAAE+B,EAAE,CAAC,IAAIC,EAAE,KAAK,MAAMD,EAAE,CAAC,EAAE2C,EAAE3C,EAAE,EAAEG,GAAGJ,EAAE,EAAE4C,GAAGzE,EAAE,QAAQ0E,EAAE,EAAEA,EAAE1E,EAAE,EAAE0E,EAAE,CAAC,IAAIvC,EAAEuC,EAAEzC,EAAEpC,GAAGkC,EAAE3C,GAAGwC,EAAEzC,EAAEqF,IAAIrD,EAAE,KAAKlB,EAAEkC,EAAE,CAAC,CAAC,CAAC,OAAOhF,EAAE,eAAe,CAAC+B,EAAEY,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAM2D,CAAC,CAAC,CAAC,IAAI+7E,GAAG,CAAC,WAAWtiE,GAAG,YAAY,MAAM,WAAWqiE,EAAE,EAAE,SAASE,GAAGlgF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,UAAUC,EAAE,gBAAgBC,CAAC,EAAE7B,EAAEmxE,GAAG,CAAClxE,EAAE,CAAC,EAAE,uBAAuB,EAAE,IAAIqC,EAAEkkB,EAAE,eAAevmB,EAAE,KAAK,EAAEsC,EAAEikB,EAAE,eAAe,EAAE,KAAK,EAAEhkB,EAAEZ,EAAEY,GAAG,OAAOA,EAAE,CAAC,EAAE,CAAC,GAAGgkB,EAAE,OAAO0zB,EAAE,+BAA+B,EAAE13C,CAAC,EAAE,IAAI,gFAAgF,oBAAoBA,IAAI,EAAE,IAAIC,EAAEy3C,EAAE,kBAAkBj6C,EAAE,MAAM,EAAE,MAAM,EAAEuC,EAAEb,EAAEE,EAAE,EAAE,EAAE,CAAC,aAAaa,EAAE,YAAYkB,EAAE,eAAe,EAAE,cAAcqD,EAAE,QAAQxC,CAAC,EAAEhC,EAAE4B,EAAEI,EAAE,KAAKH,EAAEG,EAAE,IAAIF,EAAE9B,EAAE,YAAYA,EAAE,WAAW+B,EAAE,IAAIwkB,GAAGvmB,EAAE,SAASxC,EAAE,KAAK,EAAEiH,EAAEtH,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOyE,EAAE9E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOuH,EAAE3C,EAAE,OAAO,QAAQG,EAAE,EAAEA,EAAElC,EAAE,UAAU,EAAEkC,EAAE,CAAC,IAAIC,EAAED,EAAErC,EAAE,GAAGuC,EAAEF,EAAEH,EAAE,QAAQ,GAAG,QAAQM,EAAE,EAAEA,EAAErC,EAAE,UAAU,EAAEqC,EAAE,CAAC,IAAIC,EAAEF,EAAEC,EAAEN,EAAE,QAAQ,GAAGQ,EAAEF,EAAErC,EAAE,aAAa6B,EAAE,QAAQqD,EAAE,EAAEA,EAAEjF,EAAE,EAAEiF,EAAE,CAAC,IAAIN,EAAErC,EAAE2C,EAAE,EAAE,GAAGN,EAAE,GAAGA,GAAG5E,EAAE,SAAS,SAAS,IAAImF,EAAED,EAAEpF,EAAE,GAAGsF,EAAGjD,EAAEyC,EAAE/E,EAAE,GAAG,QAAQwF,EAAG,EAAEA,EAAGrF,EAAE,SAAS,EAAEqF,EAAG,CAAC,IAAIC,GAAGhD,EAAE+C,EAAGtD,EAAE,QAAQ,GAAGwD,GAAGF,EAAGrF,EAAE,YAAY4B,EAAE,QAAQ4D,GAAG,EAAEA,GAAGrE,EAAE,EAAEqE,GAAG,CAAC,IAAI5B,GAAG2B,GAAGC,GAAGhB,EAAE,GAAGZ,GAAG,GAAGA,IAAI5D,EAAE,QAAQ,SAAS,IAAI0F,GAAGP,EAAEK,GAAG1F,EAAE,GAAG6F,GAAGP,EAAGxB,GAAG5D,EAAE,WAAW4F,GAAGN,GAAGO,GAAGH,GAAG,QAAQI,GAAG,EAAEA,GAAG9F,EAAE,WAAW,EAAE8F,GAAG,CAAC,IAAIC,GAAGtB,EAAEkB,GAAGG,IAAI,QAAQM,GAAG,EAAEA,GAAGtE,EAAE,EAAEsE,GAAG1B,EAAEkB,GAAGQ,KAAKL,GAAG9D,EAAE4D,GAAGO,IAAIR,IAAI9D,EAAE+D,IAAI/D,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO3E,EAAE,eAAe4E,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIq7E,GAAG,CAAC,WAAWviE,GAAG,YAAY,MAAM,WAAWsiE,EAAE,EAAE,SAASE,GAAGpgF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,UAAU0B,EAAE,IAAIC,EAAE,gBAAgBC,EAAE,YAAYS,CAAC,EAAEtC,EAAEmxE,GAAG,CAAClxE,EAAE,CAAC,EAAE,qCAAqC,EAAE,IAAIsC,EAAE23C,EAAE,kBAAkBj6C,EAAE,MAAMqC,EAAE,EAAEX,EAAEC,EAAEC,EAAE,EAAE,EAAE,CAAC,aAAaW,EAAE,YAAYC,EAAE,aAAaC,EAAE,YAAYkB,CAAC,EAAErB,EAAE,EAAE,IAAIymB,GAAGzmB,EAAE,YAAY,SAAS,EAAE0E,EAAE1E,EAAE,QAAQ,KAAKkC,EAAElC,EAAE,QAAQ,IAAI8B,EAAE9B,EAAE,YAAYA,EAAE,WAAW+B,EAAE1E,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOsE,EAAE,IAAIykB,GAAG/oB,EAAE,MAAMA,EAAE,MAAMqE,CAAC,EAAEE,EAAE5E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOsH,EAAE,IAAI8hB,GAAG,EAAE,MAAM,EAAE,MAAMxkB,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEhC,EAAE,EAAEgC,EAAE,CAAC,IAAIyC,EAAE,KAAK,IAAI,EAAE,KAAK,MAAM1C,EAAEC,GAAGlC,CAAC,CAAC,EAAEmC,EAAE,KAAK,IAAIpC,EAAE,WAAWA,EAAE,SAASkC,EAAEC,GAAGlC,CAAC,EAAE,QAAQoC,EAAE,EAAEA,EAAEhB,EAAE,EAAEgB,EAAE,CAAC,IAAIC,EAAE,KAAK,IAAI,EAAE,KAAK,MAAMoC,EAAErC,GAAGnC,CAAC,CAAC,EAAEqC,EAAE,KAAK,IAAIvC,EAAE,UAAUA,EAAE,QAAQ0E,EAAErC,GAAGnC,CAAC,EAAE,QAAQsC,EAAE,EAAEA,EAAExC,EAAE,YAAY,EAAEwC,EAAE,CAAC,IAAIC,EAAE,KAAK,MAAMD,EAAEV,CAAC,EAAEsD,EAAE5C,EAAEV,EAAEgD,EAAE,EAAE,QAAQO,EAAE,EAAEA,EAAErF,EAAE,UAAU,EAAEqF,EAAE,QAAQC,EAAGV,EAAEU,EAAGlD,EAAE,EAAEkD,EAAG,CAAC,IAAIC,EAAGpD,EAAEmD,EAAGrF,EAAEiC,EAAE,QAAQsD,GAAGlD,EAAEkD,GAAGjD,EAAE,EAAEiD,GAAG,CAAC,IAAIC,GAAGpD,EAAEmD,GAAGtF,EAAEwE,EAAEI,GAAG9C,EAAE,IAAIqD,EAAEE,EAAGE,GAAGhD,CAAC,EAAEkC,EAAE,IAAIU,EAAEC,EAAGE,GAAGhD,CAAC,CAAC,CAAC,CAAC,EAAE,IAAIsC,EAAE3C,EAAEE,EAAEI,EAAE2C,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO/H,EAAE,eAAe,EAAE,MAAM,EAAE,MAAM,EAAE,MAAM,CAAC,CAAC,IAAImgF,GAAG,CAAC,WAAWxiE,GAAG,YAAY,MAAM,WAAWuiE,EAAE,EAAE,SAASE,GAAGtgF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,UAAU0B,EAAE,IAAIC,EAAE,gBAAgBC,EAAE,WAAWS,CAAC,EAAEtC,EAAEmxE,GAAG,CAAClxE,EAAE,CAAC,EAAE,oCAAoC,EAAE,IAAIsC,EAAEikB,EAAE,eAAevmB,EAAE,KAAK,EAAEuC,EAAEgkB,EAAE,eAAe,EAAE,KAAK,EAAE/jB,EAAEy3C,EAAE,kBAAkB53C,EAAE,EAAE,MAAM,EAAEX,EAAEC,EAAEC,EAAE,EAAE,EAAEa,EAAE,IAAIsmB,GAAGvmB,EAAE,QAAQ,SAAS,EAAEmB,EAAElB,EAAE,OAAO,CAAC,EAAEuE,EAAExC,CAAC,EAAE/B,EAAE,QAAQ2B,EAAEzE,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO,CAACqE,EAAEC,EAAEC,CAAC,EAAEjC,EAAE2E,EAAEtH,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC8E,EAAEyC,EAAExC,CAAC,EAAEnC,EAAE,CAAC,UAAUoC,EAAE,aAAaC,EAAE,YAAYC,EAAE,WAAWC,EAAE,SAASC,EAAE,QAAQ2C,EAAE,YAAYN,EAAE,UAAUO,EAAE,SAASC,EAAG,aAAaC,EAAG,YAAYC,EAAE,EAAEtF,EAAEuF,GAAGnD,EAAE,EAAEpC,EAAE,QAAQ,IAAIwF,GAAGnD,EAAE,EAAErC,EAAE,QAAQ,KAAK4D,GAAGgB,EAAEtC,EAAE,QAAQoD,GAAG,EAAEA,GAAGvD,EAAE,EAAEuD,GAAG,QAAQC,GAAG,EAAEA,GAAGrD,EAAE,EAAEqD,GAAG,QAAQC,GAAG,EAAEA,GAAGrD,EAAE,EAAEqD,GAAG,CAAC,IAAIC,GAAGD,GAAGL,GAAGO,GAAG,KAAK,IAAI,EAAE,KAAK,KAAKD,GAAGR,CAAE,CAAC,EAAEU,GAAG,KAAK,IAAIZ,GAAG/C,EAAEyD,IAAIR,CAAE,EAAE,QAAQe,GAAG,EAAEA,GAAGlB,EAAE,EAAEkB,GAAG,CAAC,IAAIC,GAAGD,GAAGZ,GAAGc,GAAG,KAAK,IAAI,EAAE,KAAK,KAAKD,GAAGf,EAAE,CAAC,EAAEzB,GAAG,KAAK,IAAIuB,GAAI/C,EAAEgE,IAAIf,EAAE,EAAEvB,GAAG,EAAE,QAAQC,GAAG8B,GAAG9B,GAAG+B,GAAG,EAAE/B,GAAG,CAAC,IAAIC,GAAGD,GAAGqB,EAAGQ,GAAG,QAAQU,GAAGD,GAAGC,GAAG1C,GAAG,EAAE0C,GAAG,CAAC,IAAIrC,GAAGqC,GAAGjB,GAAGe,GAAGlC,GAAGtC,EAAE6D,GAAG5D,EAAEkC,GAAGjC,EAAEwE,GAAGnC,GAAGnC,GAAGG,EAAE,EAAE6B,IAAIS,GAAGrC,EAAE,EAAE6B,IAAIhC,EAAEyD,GAAG,QAAQtB,GAAG,EAAEA,GAAGT,GAAG,EAAES,GAAG,CAAC,IAAIP,GAAG6B,GAAG/B,GAAGS,GAAGmC,GAAG5E,EAAEuC,GAAGL,IAAI2C,GAAGhC,EAAEL,GAAGC,IAAIN,IAAIyC,GAAGC,EAAE,CAAC,CAAC,CAACtF,EAAE,EAAEuE,GAAGlB,EAAEoB,GAAG5D,EAAEoE,GAAGT,IAAI5B,EAAE,CAAC,CAAC,OAAO5G,EAAE,eAAe8C,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIu9E,GAAG,CAAC,WAAWziE,GAAG,YAAY,MAAM,WAAWwiE,EAAE,EAAE,SAASE,GAAGxgF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,CAAC,EAAE,EAAEC,EAAEumB,EAAE,cAAcxmB,EAAE,KAAK,EAAE,EAAEJ,EAAE,KAAK,IAAII,EAAE,MAAM,EAAE,OAAO,EAAEiwB,GAAG,CAAChwB,EAAEA,CAAC,EAAED,EAAE,KAAK,EAAE2B,EAAE,EAAE,OAAO,QAAQE,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAIF,EAAEE,EAAE5B,EAAE4B,GAAG,EAAEA,GAAG,IAAID,EAAE,CAAC,GAAG5B,EAAE,MAAM,GAAGA,EAAE,KAAK,EAAE,OAAOJ,EAAE,eAAegC,EAAE,EAAE,MAAM,EAAE,MAAM,CAAC,CAAC,IAAIu+E,GAAG,CAAC,WAAW1iE,GAAG,YAAY,MAAM,WAAWyiE,EAAE,EAAME,GAAG,CAAC,WAAW1iE,GAAG,YAAY,MAAM,WAAW,CAAC,CAAC,OAAOhe,EAAE,QAAQ,EAAE,MAAME,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEI,EAAE,OAAOC,CAAC,EAAEP,EAAE,CAAC,QAAQ,EAAE,IAAI,EAAE,UAAUiC,CAAC,EAAE/B,EAAEgC,EAAE,EAAEC,EAAED,EAAE,KAAK,IAAI5B,EAAE,MAAM,EAAE,OAAOsC,EAAEtC,EAAE,MAAM,OAAOuC,EAAEX,EAAE,KAAK,IAAI3B,EAAE,MAAM,EAAE,OAAOuC,EAAEvC,EAAE,MAAM,OAAO,CAAC,UAAUwC,EAAE,SAASC,EAAE,QAAQkB,EAAE,WAAW,EAAE,UAAUqD,EAAE,SAASxC,EAAE,QAAQJ,EAAE,aAAaC,EAAE,YAAYC,EAAE,aAAaC,EAAE,YAAY0C,EAAE,eAAexC,EAAE,cAAcyC,EAAE,SAASxC,CAAC,EAAEu1C,EAAE,sBAAsBl6C,EAAE,MAAMC,EAAE,MAAM,EAAE,EAAE,OAAO0B,CAAC,EAAEiD,EAAE4hB,EAAE,cAAc7hB,CAAC,EAAEE,EAAEF,EAAE,OAAOG,EAAE0hB,EAAE,kBAAkBxmB,EAAE,MAAM4E,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAEvC,EAAE,EAAEuC,EAAE,QAAQ2C,EAAE,EAAEA,EAAEV,EAAE,EAAEU,EAAE,CAAC,IAAIN,EAAEM,EAAErD,EAAED,EAAE,IAAI,QAAQuD,EAAE,EAAEA,EAAEnD,EAAE,EAAEmD,EAAE,CAAC,IAAIC,EAAGD,EAAErD,EAAEF,EAAE,KAAK,QAAQyD,EAAG,EAAEA,EAAG,EAAE,EAAEA,EAAG,CAAC,IAAIC,EAAG,OAAO,iBAAiB,QAAQE,GAAG,EAAEA,GAAGzD,EAAE,EAAEyD,GAAG,CAAC,IAAI5B,GAAGgB,EAAEY,GAAGvD,EAAE,GAAG2B,IAAI,GAAGA,GAAG3D,EAAE,QAAQyF,GAAG,EAAEA,GAAGjB,EAAE,EAAEiB,GAAG,CAAC,IAAIC,GAAGP,EAAGM,GAAGhB,EAAE,GAAGiB,IAAI,GAAGA,GAAGxE,EAAE,CAAC,IAAIyE,GAAGme,EAAE,WAAW,CAACxhB,EAAEqB,GAAG+B,GAAGN,CAAE,EAAExF,EAAEkkB,EAAE,eAAexmB,EAAE,KAAK,CAAC,EAAEsI,GAAGke,EAAE,WAAW,CAACve,GAAGE,GAAGL,CAAE,EAAEtF,EAAEgkB,EAAE,eAAevmB,EAAE,KAAK,CAAC,EAAEsI,GAAG1G,EAAEwG,IAAI9F,EAAE+F,IAAIC,GAAGR,IAAKA,EAAGQ,GAAG,CAAC,CAAC,CAAC,IAAIP,GAAGwe,EAAE,WAAW,CAACxhB,EAAE2C,EAAEC,EAAEE,CAAE,EAAEjD,EAAE2hB,EAAE,eAAe7hB,CAAC,CAAC,EAAEG,EAAEkD,IAAID,CAAE,CAAC,CAAC,CAAC,MAAM,CAAC,OAAOnG,EAAE,MAAM4kB,EAAE,aAAa1hB,EAAE9E,EAAE,KAAK,EAAE2E,EAAE3E,EAAE,KAAK,EAAE,MAAM2E,EAAE,MAAM3E,EAAE,KAAK,CAAC,CAAC,EAAMqgF,GAAG,CAAC,WAAWziE,GAAG,YAAY,MAAM,WAAW,CAAC,CAAC,OAAOle,EAAE,QAAQ,EAAE,MAAME,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEI,EAAE,OAAOC,EAAE,GAAG,CAAC,EAAEP,EAAE,CAAC,QAAQ,EAAE,IAAIiC,EAAE,UAAUC,CAAC,EAAEhC,EAAEiC,EAAE,EAAES,EAAEkkB,EAAE,cAAcxmB,EAAE,MAAM6B,EAAE,KAAK,IAAI7B,EAAE,MAAM,EAAE,MAAM,EAAEuC,EAAEikB,EAAE,cAAcvmB,EAAE,MAAM4B,EAAE,KAAK,IAAI5B,EAAE,MAAM,EAAE,MAAM,EAAE,CAAC,UAAUuC,EAAE,SAASC,EAAE,QAAQC,EAAE,WAAWkB,EAAE,UAAU,EAAE,SAASqD,EAAE,QAAQxC,EAAE,aAAaJ,EAAE,YAAYC,EAAE,aAAaC,EAAE,YAAYC,EAAE,eAAe0C,EAAE,cAAcxC,EAAE,SAASyC,CAAC,EAAE+yC,EAAE,sBAAsBl6C,EAAE,MAAMC,EAAE,MAAM,EAAE0B,EAAE,OAAOC,CAAC,EAAE4kB,EAAE,OAAO,EAAE,OAAOrf,EAAE,OAAO,IAAI,YAAYyW,4CAA4CzW,EAAE,mBAAmB,EAAE,MAAM,EAAE,IAAIxC,EAAE6hB,EAAE,cAAcrf,EAAEtF,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,EAAE+C,EAAE4hB,EAAE,0BAA0BvmB,EAAE,MAAMA,EAAE,KAAK,EAAE,QAAQ6E,EAAE,EAAEA,EAAEtC,EAAE,EAAEsC,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAED,EAAEV,EAAEI,EAAE,IAAI,QAAQkD,EAAE,EAAEA,EAAEV,EAAE,EAAEU,EAAE,CAAC,IAAIN,EAAEM,EAAErD,EAAEG,EAAE,KAAK,QAAQmD,EAAE,EAAEA,EAAEhE,EAAE,EAAEgE,EAAE,CAAC,IAAIC,EAAG,OAAO,iBAAiBC,EAAG,EAAEC,EAAG,EAAE,QAAQC,GAAG,EAAEA,GAAGzD,EAAE,EAAEyD,GAAG,CAAC,IAAIC,GAAGjD,EAAEgD,GAAGd,EAAE,GAAGe,IAAI,GAAGA,GAAGxF,EAAE,QAAQ4D,GAAG,EAAEA,GAAG7B,EAAE,EAAE6B,GAAG,CAAC,IAAI8B,GAAGd,EAAEhB,GAAG3B,EAAE,GAAGyD,IAAI,GAAGA,GAAGzF,EAAE,CAAC,IAAI0F,GAAG9F,EAAEwC,GAAGmD,IAAIE,IAAIP,GAAGrF,EAAEyF,IAAI3B,IAAIuB,GAAGQ,GAAGP,IAAKA,EAAGO,GAAGN,EAAGE,GAAGD,EAAG1B,GAAG,CAAC,CAAC,CAACzB,EAAEkD,GAAIC,GAAIH,IAAIjD,EAAEG,GAAGC,GAAG4C,GAAGC,EAAE,CAAC,CAAC,CAAC,MAAM,CAAC,OAAO/F,EAAE,MAAM2kB,EAAE,aAAa5hB,EAAE5E,EAAE,KAAK,EAAEC,EAAE,MAAMA,EAAE,KAAK,EAAE,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,EAAMqgF,GAAG,CAAC,WAAW3iE,GAAG,YAAY,MAAM,WAAW,CAAC,CAAC,OAAOje,EAAE,QAAQ,EAAE,MAAME,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEI,EAAE,OAAOC,EAAE,GAAG,CAAC,EAAEP,EAAE,CAAC,QAAQ,EAAE,IAAIiC,EAAE,UAAUC,CAAC,EAAEhC,EAAEiC,EAAE,EAAES,EAAEkkB,EAAE,cAAcxmB,EAAE,MAAM6B,EAAE,KAAK,IAAI7B,EAAE,MAAM,EAAE,MAAM,EAAEuC,EAAEikB,EAAE,cAAcvmB,EAAE,MAAM4B,EAAE,KAAK,IAAI5B,EAAE,MAAM,EAAE,MAAM,EAAE,CAAC,UAAUuC,EAAE,SAASC,EAAE,QAAQC,EAAE,WAAWkB,EAAE,UAAU,EAAE,SAASqD,EAAE,QAAQxC,EAAE,aAAaJ,EAAE,YAAYC,EAAE,aAAaC,EAAE,YAAYC,EAAE,eAAe0C,EAAE,cAAcxC,EAAE,SAASyC,CAAC,EAAE+yC,EAAE,sBAAsBl6C,EAAE,MAAMC,EAAE,MAAM,EAAE0B,EAAE,OAAOC,CAAC,EAAE4kB,EAAE,OAAO,EAAE,OAAOrf,EAAE,OAAO,IAAI,YAAYwW,4CAA4CxW,EAAE,mBAAmB,EAAE,MAAM,EAAE,IAAIxC,EAAE6hB,EAAE,cAAcrf,EAAEtF,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,EAAE+C,EAAE4hB,EAAE,0BAA0BxmB,EAAE,MAAMA,EAAE,KAAK,EAAE,QAAQ8E,EAAE,EAAEA,EAAEtC,EAAE,EAAEsC,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAED,EAAEV,EAAEI,EAAE,IAAI,QAAQkD,EAAE,EAAEA,EAAEV,EAAE,EAAEU,EAAE,CAAC,IAAIN,EAAEM,EAAErD,EAAEG,EAAE,KAAK,QAAQmD,EAAE,EAAEA,EAAEhE,EAAE,EAAEgE,EAAE,CAAC,IAAIC,EAAG,OAAO,iBAAiBC,EAAG9C,EAAE,EAAE,EAAEA,EAAE+C,EAAGV,EAAE,EAAE,EAAEA,EAAE,QAAQW,GAAG,EAAEA,GAAGzD,EAAE,EAAEyD,GAAG,CAAC,IAAIC,GAAGjD,EAAEgD,GAAGd,EAAE,GAAGe,IAAI,GAAGA,GAAGxF,EAAE,QAAQ4D,GAAG,EAAEA,GAAG7B,EAAE,EAAE6B,GAAG,CAAC,IAAI8B,GAAGd,EAAEhB,GAAG3B,EAAE,GAAGyD,IAAI,GAAGA,GAAGzF,EAAE,CAAC,IAAI0F,GAAG9F,EAAEwC,GAAGmD,IAAIE,IAAIP,GAAGrF,EAAEyF,IAAI3B,IAAIuB,GAAGQ,GAAGP,IAAKA,EAAGO,GAAGN,EAAGG,GAAGF,EAAGI,GAAG,CAAC,CAAC,CAACvD,EAAEE,GAAGgD,GAAIC,GAAIH,IAAIjD,EAAEG,GAAGC,GAAG4C,GAAGC,EAAE,CAAC,CAAC,CAAC,MAAM,CAAC,OAAO/F,EAAE,MAAM2kB,EAAE,aAAa5hB,EAAE5E,EAAE,KAAK,EAAEA,EAAE,MAAMA,EAAE,KAAK,EAAE,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,EAAE,SAASugF,GAAG7gF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAEmxE,GAAGlxE,EAAE,KAAK,EAAE,IAAI0B,EAAE1B,EAAE,QAAQ,OAAO0B,EAAEszE,GAAG,CAAC,OAAO,CAAC,EAAEh1E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM,OAAO,CAAC,CAAC,EAAE+B,EAAEkzE,GAAG,CAAC,OAAO,CAAC,EAAE50E,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,IAAIgC,EAAED,EAAE,MAAM,OAAOE,EAAE2kB,EAAE,eAAe,EAAE7kB,EAAE,KAAK,EAAEW,EAAE43C,EAAE,mBAAmBr4C,EAAED,CAAC,EAAEW,EAAEV,EAAEW,EAAEb,EAAEW,GAAG,OAAOE,EAAEk1E,GAAG,CAAC,OAAO,CAAC,EAAE/1E,CAAC,EAAE,QAAQ/B,EAAE,MAAM,CAAC,KAAK0C,CAAC,CAAC,CAAC,EAAEC,EAAE23C,EAAE,iBAAiB33C,EAAE,OAAOX,CAAC,GAAGs4C,EAAE,2BAA2B,MAAM33C,EAAEC,EAAE,MAAM,MAAM,EAAE,GAAG,CAACC,EAAEC,CAAC,EAAEw3C,EAAE,0BAA0B13C,EAAE,MAAMD,CAAC,EAAEqB,EAAEs2C,EAAE,WAAW13C,EAAE,MAAM,OAAO,EAAE,EAAEoyE,GAAGh1E,EAAE6C,EAAEmB,CAAC,EAAEqD,EAAEuf,EAAE,cAAc9jB,CAAC,EAAE+B,EAAE7E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOyE,EAAEzE,EAAE,KAAK,IAAI4C,EAAE,MAAM,EAAE,OAAO,QAAQ8B,EAAE,EAAEA,EAAEG,EAAE,OAAO,EAAEH,EAAE,CAAC,IAAIC,EAAED,EAAE2C,EAAEzC,EAAE,EAAE,QAAQ0C,EAAE,EAAEA,EAAED,EAAE,EAAEC,EAAE1C,GAAGH,EAAEE,EAAE2C,GAAGzC,EAAEH,GAAGE,CAAC,CAAC,GAAG,EAAE,CAAC,IAAIF,EAAE41C,EAAE,qBAAqB,EAAE,MAAMr4C,CAAC,EAAE0C,EAAE,EAAE,EAAEg2E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ36E,EAAE,MAAM,CAAC,MAAM0E,CAAC,CAAC,CAAC,EAAE1E,EAAE,8BAA8B2E,CAAC,CAAC,CAAC,OAAO3E,EAAE,8BAA8B+B,CAAC,EAAEW,GAAG,MAAM1C,EAAE,8BAA8B4C,CAAC,EAAE,CAAC,CAAC,IAAIg+E,GAAG,CAAC,WAAW98D,GAAG,YAAY,MAAM,WAAW68D,EAAE,EAAE,SAASE,GAAG/gF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,SAASO,CAAC,EAAED,EAAE,EAAE,EAAE,CAAC,QAAQ,EAAE,WAAW2B,EAAE,OAAOC,CAAC,EAAEs4C,EAAE,qBAAqBj6C,EAAE,EAAE,MAAM,EAAEi6C,EAAE,oBAAoB,EAAE,OAAOt4C,EAAE,CAAC,EAAE,GAAG,CAAC,KAAKC,EAAE,MAAMS,CAAC,EAAE43C,EAAE,qBAAqBv4C,EAAEC,CAAC,EAAEW,EAAED,EAAE,OAAOE,EAAE,KAAKC,EAAE,EAAE,OAAOC,EAAE,CAAC,EAAE,QAAQkB,EAAE,EAAEA,EAAErB,EAAE,EAAEqB,EAAE,CAAC,QAAQ,KAAKtB,EAAEsB,GAAG,CAAC,GAAG,CAAC,mBAAmBqD,EAAE,WAAWxC,CAAC,EAAEy1C,EAAE,qBAAqBz3C,EAAEb,EAAE,EAAE,EAAEyC,EAAE61C,EAAE,sBAAsBjzC,CAAC,EAAE5C,EAAE,EAAE,IAAIA,EAAEqzE,GAAG,CAAC,OAAO,CAAC,EAAE,EAAE,EAAE,EAAE,QAAQ93E,EAAE,MAAM,CAAC,KAAKqH,CAAC,CAAC,CAAC,EAAEvE,EAAE,KAAK2B,CAAC,GAAG,IAAIC,EAAED,EAAE,MAAM,MAAM,EAAE,QAAQE,EAAE,EAAEA,EAAEE,EAAE,OAAO,EAAEF,EAAED,EAAE,OAAOG,EAAEF,GAAG,EAAE,CAAC,EAAEiiB,EAAE,YAAYniB,EAAE,MAAMC,CAAC,IAAID,EAAEk2E,GAAG,CAAC,OAAO,CAACl2E,CAAG,EAAE,QAAQzE,EAAE,MAAM,CAAC,MAAM0E,CAAC,CAAC,CAAC,EAAE5B,EAAE,KAAK2B,CAAC,GAAG7B,IAAI,KAAKA,EAAE6B,GAAG7B,EAAE40E,GAAG,CAAC,OAAO,CAAC,EAAE/yE,EAAE,EAAE7B,CAAC,EAAE,QAAQ5C,CAAC,CAAC,EAAE8C,EAAE,KAAKF,CAAC,EAAE,CAACoB,EAAErB,EAAE,IAAIV,EAAE+B,IAAI,IAAIpB,EAAE+9E,GAAG,CAAC,OAAO,CAAC,EAAE/9E,CAAC,EAAE,QAAQ5C,EAAE,MAAM,CAAC,KAAKiC,EAAE+B,IAAI,EAAE,OAAOnB,GAAG,SAAS,EAAE,CAAC,CAAC,EAAEC,EAAE,KAAKF,CAAC,GAAGC,IAAI,CAAC,QAAQmB,KAAKlB,EAAEkB,IAAIpB,GAAG5C,EAAE,8BAA8BgE,CAAC,EAAE,OAAOpB,CAAC,CAAC,IAAIk+E,GAAG,CAAC,WAAW5iE,GAAG,YAAY,MAAM,WAAW2iE,EAAE,EAAE,SAASE,GAAGjhF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,GAAGM,EAAE,EAAEC,CAAC,EAAE,EAAEkxE,GAAG,CAACnxE,EAAEC,CAAC,EAAE,SAAS,EAAE,IAAI,EAAE,IAAI,aAAaumB,EAAE,cAAcvmB,EAAE,KAAK,CAAC,EAAE,EAAEL,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO0B,EAAE/B,EAAE,KAAK,IAAII,EAAE,MAAM,EAAE,OAAO,QAAQ4B,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAE,EAAED,GAAGC,GAAG,EAAE,EAAED,GAAGD,EAAEC,GAAG,EAAEA,GAAGD,EAAEC,IAAIC,EAAE,EAAE,CAAC,OAAOjC,EAAE,eAAeK,EAAE,MAAM,UAAU,CAAC,CAAC,CAAC,IAAI2gF,GAAG,CAAC,WAAW5iE,GAAG,YAAY,MAAM,WAAW2iE,EAAE,EAAME,GAAG3mC,EAAE,MAAM4mC,GAAG5mC,EAAE,OAAO6mC,GAAG7mC,EAAE,OAAO8mC,GAAG9mC,EAAE,OAAO+mC,GAAG/mC,EAAE,OAAOgnC,GAAGhnC,EAAE,OAAOinC,GAAG1L,GAAGx3D,GAAGve,GAAG,CAAC,IAAI,EAAE,KAAK,KAAKA,CAAC,EAAEE,EAAE,KAAK,IAAIF,CAAC,EAAEM,EAAE,GAAG,EAAE6gF,GAAGjhF,GAAG,OAAO,GAAG,MAAMshF,GAAGlhF,EAAEihF,IAAIjhF,EAAEghF,IAAIhhF,EAAE+gF,IAAI/gF,EAAE8gF,IAAI9gF,EAAE,KAAK,IAAI,CAACJ,EAAEA,CAAC,EAAE,CAAC,EAAEwhF,GAAG,CAAC,WAAWnjE,GAAG,YAAY,MAAM,WAAWkjE,EAAE,EAAE,SAASE,GAAG3hF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,CAAC,EAAE,EAAE,CAAC,IAAI,CAAC,EAAED,EAAE,EAAEC,EAAE,MAAM,OAAO0B,EAAE1B,EAAE,MAAM,MAAM,EAAE2B,EAAE,EAAE,OAAO,EAAE,IAAI4kB,EAAE,OAAO,EAAE,EAAE,IAAI,EAAE,IAAI,iCAAiC,EAAE,EAAE,OAAO,IAAI,EAAE5kB,EAAE,EAAE,EAAE,GAAGD,EAAE,OAAOC,EAAE,EAAE,CAAC,EAAE24E,GAAG,CAAC,OAAO,CAAC,EAAEt6E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM+B,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI2/E,GAAG,CAAC,WAAWljE,GAAG,YAAY,MAAM,WAAWijE,EAAE,EAAME,GAAG9M,GAAG,CAAC/0E,EAAE,IAAIA,EAAE,CAAC,EAAE8hF,GAAGrM,GAAGt3D,GAAG0jE,EAAE,EAAEE,GAAG,CAAC,WAAW5jE,GAAG,YAAY,MAAM,WAAW2jE,EAAE,EAAE,SAASE,GAAGhiF,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,MAAMO,EAAED,EAAE,GAAG,EAAEA,EAAE,GAAG,EAAEJ,EAAE,KAAK,IAAIF,EAAE,MAAM,EAAEiC,EAAE,EAAE,mBAAmB,KAAKC,EAAE,EAAE,mBAAmB,KAAKC,EAAE,CAAC5B,EAAE,CAAC,EAAEqC,EAAEkkB,EAAE,cAAc3kB,CAAC,EAAEU,EAAEikB,EAAE,uBAAuB,UAAUlkB,CAAC,EAAEE,EAAEgkB,EAAE,uBAAuB,UAAUlkB,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAErC,EAAE,IAAI,CAAC,IAAIgH,EAAE6xE,GAAG,CAAC,OAAO,CAAC,EAAEn3E,CAAC,EAAE,QAAQ/B,EAAE,MAAM,CAAC,MAAM,CAAC,EAAE,CAAC,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAE6E,EAAEq0E,GAAG,CAAC,OAAO,CAAC,EAAEl3E,CAAC,EAAE,QAAQhC,EAAE,MAAM,CAAC,MAAM,CAAC,EAAE,CAAC,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEyE,EAAEqwE,GAAG,CAAC,OAAO,CAAC,KAAKztE,EAAE,KAAKxC,CAAC,EAAE,QAAQ7E,CAAC,CAAC,EAAE,CAAC,KAAK0E,EAAE,KAAKC,CAAC,EAAEo9E,GAAGt9E,EAAE,EAAEzE,CAAC,EAAE4E,EAAE01C,EAAE,uBAAuB51C,EAAEC,CAAC,EAAE,QAAQ2C,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIxC,EAAEw1C,EAAE,oBAAoB11C,EAAE0C,CAAC,EAAE3E,EAAE,EAAE,EAAE2E,GAAGxC,EAAE,KAAKlC,EAAE,EAAE,EAAE0E,GAAGxC,EAAE,IAAI,CAAC9E,EAAE,8BAA8BqH,CAAC,EAAErH,EAAE,8BAA8B6E,CAAC,EAAE7E,EAAE,8BAA8ByE,CAAC,CAAC,CAAC,IAAI5B,EAAE7C,EAAE,eAAeiC,EAAE,UAAUU,CAAC,EAAEG,EAAE9C,EAAE,eAAeiC,EAAE,UAAUW,CAAC,EAAEoB,EAAE8wE,GAAG,CAAC,OAAO,CAAC,KAAKjyE,EAAE,KAAKC,CAAC,EAAE,QAAQ9C,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B6C,CAAC,EAAE7C,EAAE,8BAA8B8C,CAAC,EAAEkB,CAAC,CAAC,SAAS+9E,GAAGjiF,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEwmB,EAAE,cAAc9mB,EAAE,KAAK,EAAEO,EAAEL,EAAE,KAAK,IAAIF,EAAE,MAAM,EAAE,EAAEE,EAAE,KAAK,IAAIK,EAAE,mBAAmB,KAAK,MAAM,EAAE,OAAO,EAAEL,EAAE,KAAK,IAAIK,EAAE,mBAAmB,KAAK,MAAM,EAAE,OAAO,GAAG2hF,GAAG5hF,CAAC,EAAE,CAAC,IAAI2B,EAAEkgF,GAAG,EAAE,EAAE7hF,EAAE,EAAEJ,CAAC,EAAEgC,EAAE,CAAClC,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,EAAE,GAAG,EAAE,CAAC,IAAImC,EAAEjC,EAAE,eAAegC,EAAE,UAAUD,EAAE,IAAI,EAAEW,EAAE1C,EAAE,eAAegC,EAAE,UAAUD,EAAE,IAAI,EAAEY,EAAE3C,EAAE,eAAe,CAAC,EAAE,UAAU4mB,EAAE,kBAAkBxmB,EAAE,SAAS,CAAC,EAAEwC,EAAEqyE,GAAG,CAAC,OAAO,CAAC,EAAEtyE,CAAC,EAAE,QAAQ3C,CAAC,CAAC,EAAE6C,EAAEg/E,GAAG,WAAW,CAAC,OAAO,CAAC,EAAE5/E,EAAE,EAAEU,CAAC,EAAE,QAAQ3C,CAAC,CAAC,EAAE8C,EAAE++E,GAAG,WAAW,CAAC,OAAO,CAAC,EAAEn/E,EAAE,EAAEE,CAAC,EAAE,QAAQ5C,CAAC,CAAC,EAAEgE,EAAEhE,EAAE,KAAK,IAAI6C,EAAE,MAAM,EAAE,OAAO,EAAE7C,EAAE,KAAK,IAAI8C,EAAE,MAAM,EAAE,OAAO,OAAO9C,EAAE,8BAA8BiC,CAAC,EAAEjC,EAAE,8BAA8B0C,CAAC,EAAE1C,EAAE,8BAA8B2C,CAAC,EAAE3C,EAAE,8BAA8B4C,CAAC,EAAE5C,EAAE,8BAA8B6C,CAAC,EAAE7C,EAAE,8BAA8B8C,CAAC,EAAE,CAAC,KAAKkB,EAAE,KAAK,CAAC,CAAC,CAAC,OAAOjC,CAAC,KAAK,CAAC,IAAIA,EAAEu4C,EAAE,uBAAuB,EAAE,CAAC,EAAEt4C,EAAEkgF,GAAGngF,EAAE3B,EAAE,CAAC,EAAE,OAAOk6C,EAAE,uBAAuBt4C,CAAC,CAAC,CAAC,CAAC,SAASggF,GAAGliF,EAAE,CAAC,OAAOA,EAAEA,EAAE,KAAK,CAAC,CAAC,SAASmiF,GAAGniF,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,GAAGL,IAAI,EAAE,MAAM,CAAC,KAAKF,EAAE,KAAK,CAAC,EAAE,IAAI,EAAEw6C,EAAE,uBAAuBx6C,EAAE,CAAC,EAAE,EAAEE,EAAE,EAAE+B,EAAEu4C,EAAE,qBAAqB,CAAC,EAAEt4C,EAAED,EAAE,KAAKE,EAAEF,EAAE,KAAKW,EAAE,CAACV,EAAE,MAAM,EAAEW,EAAEtC,EAAE,eAAeqC,EAAE,UAAUV,CAAC,EAAEY,EAAEvC,EAAE,eAAeqC,EAAE,UAAUT,CAAC,EAAEY,EAAEiyE,GAAG,CAAC,OAAO,CAAC,KAAKnyE,EAAE,KAAKC,CAAC,EAAE,QAAQvC,CAAC,CAAC,EAAEyC,EAAEw3C,EAAE,oBAAoB,CAAC,EAAEt2C,EAAElB,EAAE,KAAK,EAAEA,EAAE,KAAKuE,EAAE,CAACrD,EAAE,MAAM,EAAEa,EAAExE,EAAE,eAAegH,EAAE,UAAUrD,CAAC,EAAES,EAAEpE,EAAE,eAAegH,EAAE,UAAU,CAAC,EAAE3C,EAAEowE,GAAG,CAAC,OAAO,CAAC,KAAKjwE,EAAE,KAAKJ,CAAC,EAAE,QAAQpE,CAAC,CAAC,EAAEsE,EAAEs9E,GAAGjgF,EAAEC,EAAE,EAAE7B,EAAEC,CAAC,EAAEuE,EAAED,EAAE,KAAK2C,EAAE3C,EAAE,KAAKG,EAAE,CAACF,EAAE,MAAM,EAAE2C,EAAElH,EAAE,eAAeyE,EAAE,UAAUF,CAAC,EAAEG,EAAE1E,EAAE,eAAeyE,EAAE,UAAUwC,CAAC,EAAEtC,EAAE8vE,GAAG,CAAC,OAAO,CAAC,KAAKvtE,EAAE,KAAKxC,CAAC,EAAE,QAAQ1E,CAAC,CAAC,EAAE4E,EAAEg9E,GAAGj+E,EAAE,EAAE,EAAE5D,EAAEC,CAAC,EAAE6E,EAAED,EAAE,KAAKE,EAAEF,EAAE,KAAKG,EAAE,CAACF,EAAE,MAAM,EAAE6C,EAAE1H,EAAE,eAAe+E,EAAE,UAAUF,CAAC,EAAEuC,EAAEpH,EAAE,eAAe+E,EAAE,UAAUD,CAAC,EAAE6C,EAAE8sE,GAAG,CAAC,OAAO,CAAC,KAAK/sE,EAAE,KAAKN,CAAC,EAAE,QAAQpH,CAAC,CAAC,EAAE4H,EAAGqyC,EAAE,UAAUt6C,EAAEI,CAAC,EAAE8H,EAAG,CAACD,EAAG,KAAK,MAAM,EAAEE,GAAG9H,EAAE,eAAe6H,EAAG,UAAUD,EAAG,IAAI,EAAEG,GAAG/H,EAAE,eAAe6H,EAAG,UAAUD,EAAG,IAAI,EAAEI,GAAGysE,GAAG,CAAC,OAAO,CAAC,KAAK3sE,GAAG,KAAKC,EAAE,EAAE,QAAQ/H,CAAC,CAAC,EAAEoG,GAAG+wE,GAAG,CAAC,OAAO,CAAC,EAAEnvE,GAAG,EAAEL,CAAC,EAAE,QAAQ3H,CAAC,CAAC,EAAEkI,GAAGmtE,GAAG,CAAC,OAAO,CAAC,EAAE1wE,EAAE,EAAEyB,EAAE,EAAE,QAAQpG,CAAC,CAAC,EAAEmI,GAAGmxE,GAAG,CAAC,OAAO,CAAC,EAAE30E,EAAE,EAAEyB,EAAE,EAAE,QAAQpG,CAAC,CAAC,EAAEoI,GAAG0sE,GAAG,CAAC,OAAO,CAAC,MAAM5sE,EAAE,EAAE,QAAQlI,CAAC,CAAC,EAAEqI,GAAGysE,GAAG,CAAC,OAAO,CAAC,MAAM3sE,EAAE,EAAE,QAAQnI,CAAC,CAAC,EAAEsI,GAAGu1E,GAAG,CAAC,OAAO,CAAC,MAAM31E,EAAE,EAAE,QAAQlI,CAAC,CAAC,EAAEuI,GAAGs1E,GAAG,CAAC,OAAO,CAAC,MAAM11E,EAAE,EAAE,QAAQnI,CAAC,CAAC,EAAE4I,GAAGm1E,GAAG,CAAC,OAAO,CAAC31E,GAAGC,EAAE,EAAE,QAAQrI,EAAE,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE6I,GAAGk1E,GAAG,CAAC,OAAO,CAACz1E,GAAGC,EAAE,EAAE,QAAQvI,EAAE,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE8I,GAAG9I,EAAE,KAAK,IAAI4I,GAAG,MAAM,EAAE,OAAOvC,GAAGrG,EAAE,KAAK,IAAI6I,GAAG,MAAM,EAAE,OAAO,OAAO7I,EAAE,8BAA8BsC,CAAC,EAAEtC,EAAE,8BAA8BuC,CAAC,EAAEvC,EAAE,8BAA8BwC,CAAC,EAAExC,EAAE,8BAA8BwE,CAAC,EAAExE,EAAE,8BAA8BoE,CAAC,EAAEpE,EAAE,8BAA8BqE,CAAC,EAAErE,EAAE,8BAA8BkH,CAAC,EAAElH,EAAE,8BAA8B0E,CAAC,EAAE1E,EAAE,8BAA8B2E,CAAC,EAAE3E,EAAE,8BAA8B0H,CAAC,EAAE1H,EAAE,8BAA8BoH,CAAC,EAAEpH,EAAE,8BAA8B2H,CAAC,EAAE3H,EAAE,8BAA8B8H,EAAE,EAAE9H,EAAE,8BAA8B+H,EAAE,EAAE/H,EAAE,8BAA8BgI,EAAE,EAAEhI,EAAE,8BAA8BoG,EAAE,EAAEpG,EAAE,8BAA8BkI,EAAE,EAAElI,EAAE,8BAA8BmI,EAAE,EAAEnI,EAAE,8BAA8BoI,EAAE,EAAEpI,EAAE,8BAA8BsI,EAAE,EAAEtI,EAAE,8BAA8BqI,EAAE,EAAErI,EAAE,8BAA8BuI,EAAE,EAAEvI,EAAE,8BAA8B4I,EAAE,EAAE5I,EAAE,8BAA8B6I,EAAE,EAAE,CAAC,KAAKC,GAAG,KAAKzC,EAAE,CAAC,CAAC,SAASw7E,GAAGpiF,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,IAAI,aAAa,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAI,EAAE,EAAE,EAAE,EAAE,QAAQ0B,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIC,EAAEs4C,EAAE,SAASj6C,EAAE0B,EAAE,EAAE/B,CAAC,EAAEiC,EAAEq4C,EAAE,oBAAoBx6C,EAAEiC,CAAC,EAAE,GAAGE,EAAE,KAAKD,EAAE,KAAKC,EAAE,KAAKD,EAAE,KAAK,GAAGC,EAAE,KAAKD,EAAE,KAAKC,EAAE,KAAKD,EAAE,IAAI,CAAChC,IAAI,GAAG,EAAE,GAAG,GAAGs6C,EAAE,mBAAmBl6C,EAAE,EAAE,EAAEC,CAAC,CAAC,CAAC,OAAOD,CAAC,CAAC,SAAS+hF,GAAGriF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMM,CAAC,EAAE,EAAEC,EAAEumB,EAAE,cAAcxmB,EAAE,KAAK,EAAE,EAAEA,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAG,EAAEC,EAAE,EAAE0B,EAAE44E,GAAG,CAAC,OAAO,CAAC,EAAEv6E,CAAC,EAAE,QAAQJ,EAAE,MAAM,CAAC,MAAM,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEgC,EAAE8/E,GAAG//E,EAAE,GAAG/B,CAAC,EAAEiC,EAAE04E,GAAG,CAAC,OAAO,CAAC,EAAE34E,CAAC,EAAE,QAAQhC,EAAE,MAAM,CAAC,MAAMI,EAAE,KAAK,CAAC,CAAC,EAAE,OAAOJ,EAAE,8BAA8B+B,CAAC,EAAE/B,EAAE,8BAA8BgC,CAAC,EAAEC,CAAC,CAAC,IAAImgF,GAAG,CAAC,WAAW1jE,GAAG,YAAY,MAAM,WAAWyjE,EAAE,EAAE,SAASE,GAAGviF,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,MAAMM,EAAE,MAAMC,EAAE,MAAM,CAAC,EAAEL,EAAE,EAAE,GAAG4mB,EAAE,WAAWvmB,CAAC,EAAE0B,EAAE6kB,EAAE,kBAAkB,EAAEA,EAAE,cAAcxmB,CAAC,CAAC,EAAE,OAAOkiF,GAAGvgF,EAAE1B,EAAE,CAAC,EAAE,EAAE,eAAeD,EAAE,EAAE2B,CAAC,CAAC,CAAC,IAAIwgF,GAAG,CAAC,WAAW5jE,GAAG,YAAY,MAAM,WAAW0jE,EAAE,EAAE,SAASC,GAAGxiF,EAAE,EAAEE,EAAE,CAACF,EAAE,KAAK,CAAC,CAAC,CAAC,IAAI0iF,GAAG,CAAC,WAAW5jE,GAAG,YAAY,MAAM,WAAW,CAAC,CAAC,OAAO9e,EAAE,MAAM,EAAE,QAAQE,CAAC,IAAI,CAAC,GAAG,CAAC,MAAMI,CAAC,EAAEN,EAAEO,EAAEL,EAAE,EAAE4mB,EAAE,uBAAuBxmB,EAAE,MAAMwmB,EAAE,cAAcxmB,EAAE,KAAK,CAAC,EAAE,CAAC,EAAE2B,EAAEC,EAAEC,CAAC,EAAE7B,EAAE,MAAMsC,EAAErC,EAAE,KAAK,IAAID,EAAE,MAAM,EAAE,OAAO,QAAQwC,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIC,EAAED,EAAEZ,EAAED,EAAEE,EAAE,QAAQa,EAAE,EAAEA,EAAEf,EAAEe,IAAI,CAAC,IAAIkB,EAAElB,GAAGd,EAAEC,GAAG,QAAQgC,EAAE,EAAEA,EAAEjC,EAAEiC,IAAI,CAAC,IAAIoD,EAAEpD,EAAEhC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,IAAI,CAAC,IAAIwC,EAAE,KAAK,MAAMzC,EAAEiC,EAAE,CAAC,EAAES,EAAE7B,EAAEmB,EAAEqD,EAAE,EAAE1C,EAAEjC,EAAEgC,GAAG,GAAGD,GAAG,GAAGA,EAAEzC,EAAE,CAAC,IAAI4C,EAAEH,EAAExC,EAAEqF,EAAEzE,EAAEmB,EAAEY,EAAE,EAAED,EAAEjC,EAAE4E,EAAE,CAAC,EAAE5C,GAAGC,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,OAAOtE,EAAE,MAAM,EAAED,EAAE,MAAMA,EAAE,KAAK,EAAE,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,EAAMqiF,GAAG5N,GAAG,CAAC/0E,EAAE,IAAI,KAAK,MAAMA,EAAE,CAAC,CAAC,EAAE4iF,GAAGnN,GAAGz2D,GAAG2jE,GAAG,KAAK,OAAO,EAAEE,GAAG,CAAC,WAAW7jE,GAAG,YAAY,MAAM,WAAW4jE,EAAE,EAAE,SAASE,GAAG9iF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,QAAQC,EAAE,IAAIC,EAAE,WAAWS,EAAE,UAAUC,EAAE,gBAAgBC,EAAE,WAAWC,EAAE,eAAeC,CAAC,EAAE1C,EAAE4D,EAAEs6E,GAAG,CAAC,OAAO,CAAC,EAAEj+E,EAAE,OAAO,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,QAAQgC,EAAE,IAAIC,EAAE,WAAWS,EAAE,UAAUC,EAAE,gBAAgBC,CAAC,CAAC,CAAC,EAAE,GAAG,EAAE,CAAC,IAAI,EAAEoB,EAAE,GAAGtB,IAAI,QAAQ,EAAE,MAAM,SAAS,GAAG,EAAE,MAAM,KAAK,EAAE,CAAC,IAAI2E,EAAEszE,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ36E,EAAE,MAAM,CAAC,MAAM,CAAC,EAAE,MAAM,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEgE,EAAE0xE,GAAG,CAAC,OAAO,CAAC,EAAE1xE,EAAEqD,CAAG,EAAE,QAAQrH,CAAC,CAAC,EAAEA,EAAE,8BAA8BqH,CAAC,CAAC,MAAMrD,EAAE0xE,GAAG,CAAC,OAAO,CAAC,EAAE1xE,EAAE,EAAE,CAAC,EAAE,QAAQhE,CAAC,CAAC,EAAEA,EAAE,8BAA8B,CAAC,CAAC,CAAC,GAAG6C,EAAE,CAAC,IAAI,EAAEmB,EAAE,GAAGtB,IAAI,QAAQG,IAAI,SAASd,EAAE,MAAM,SAAS,GAAGA,EAAE,MAAM,KAAK,EAAE,CAAC,IAAIsF,EAAEszE,GAAG,CAAC,OAAO,CAAC,EAAE54E,CAAC,EAAE,QAAQ/B,EAAE,MAAM,CAAC,MAAM,CAAC+B,EAAE,MAAM,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEiC,EAAE02E,GAAG16E,EAAEgE,EAAEnB,EAAEwE,EAAEvE,CAAC,EAAE9C,EAAE,8BAA8BqH,CAAC,CAAC,MAAMrD,EAAE02E,GAAG16E,EAAEgE,EAAEnB,EAAEd,EAAEe,CAAC,EAAE9C,EAAE,8BAA8B,CAAC,CAAC,CAAC,OAAOgE,CAAC,CAAC,IAAI6+E,GAAG,CAAC,WAAWh9D,GAAG,YAAY,MAAM,WAAW+8D,EAAE,EAAE,SAASE,GAAGhjF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,QAAQC,EAAE,IAAIC,EAAE,WAAWS,EAAE,UAAUC,EAAE,gBAAgBC,EAAE,WAAWC,EAAE,eAAeC,CAAC,EAAE1C,EAAE4D,EAAEg8E,GAAG,CAAC,OAAO,CAAC,EAAE3/E,EAAE,OAAO,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,QAAQgC,EAAE,IAAIC,EAAE,WAAWS,EAAE,UAAUC,EAAE,gBAAgBC,CAAC,CAAC,CAAC,EAAE,GAAG,EAAE,CAAC,IAAI,EAAEoB,EAAEA,EAAE0xE,GAAG,CAAC,OAAO,CAAC,EAAE1xE,EAAE,EAAE,CAAC,EAAE,QAAQhE,CAAC,CAAC,EAAEA,EAAE,8BAA8B,CAAC,CAAC,CAAC,GAAG6C,EAAE,CAAC,IAAI,EAAEmB,EAAEA,EAAE02E,GAAG16E,EAAEgE,EAAEnB,EAAEd,EAAEe,CAAC,EAAE9C,EAAE,8BAA8B,CAAC,CAAC,CAAC,OAAOgE,CAAC,CAAC,IAAI++E,GAAG,CAAC,WAAWj9D,GAAG,YAAY,MAAM,WAAWg9D,EAAE,EAAE,SAASE,GAAGljF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,OAAOM,EAAE,QAAQC,CAAC,EAAE,EAAE,EAAEumB,EAAE,cAAcxmB,EAAE,KAAK,EAAE,EAAEC,EAAE,MAAM0B,EAAE,EAAE,EAAE,OAAO,GAAG,CAACC,EAAEC,EAAES,EAAEC,CAAC,EAAE23C,EAAE,mBAAmBl6C,EAAEC,CAAC,EAAE,GAAG4B,IAAI,EAAE,OAAOjC,EAAE,eAAegC,EAAE5B,EAAE,MAAM,CAAC,CAAC,EAAE,IAAIwC,EAAE5C,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOwC,EAAE7C,EAAE,WAAWI,CAAC,EAAE0C,EAAEuvE,GAAGzvE,EAAEC,EAAEzC,EAAE,MAAM6B,EAAEF,EAAEW,EAAEC,EAAEvC,EAAE,MAAM,CAAC,EAAE,OAAOJ,EAAE,eAAegC,EAAE5B,EAAE,MAAM0C,EAAE,MAAM,CAAC,CAAC,IAAImgF,GAAG,CAAC,WAAWhkE,GAAG,YAAY,MAAM,WAAW+jE,EAAE,EAAE,SAASE,GAAGpjF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU0B,CAAC,EAAE3B,EAAEmxE,GAAG,CAAClxE,EAAE,CAAC,EAAE,UAAU,EAAE,IAAI2B,EAAE4kB,EAAE,eAAe,EAAEvmB,EAAE,KAAK,EAAE,GAAG4B,EAAEjC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO0C,EAAErC,EAAE,MAAM2B,GAAG,QAAQ0C,EAAE,EAAEA,EAAEzC,EAAE,OAAO,EAAEyC,EAAE,CAAC,IAAIC,EAAE1C,EAAEyC,GAAGkiB,EAAE,OAAOjiB,GAAGjC,EAAE,GAAGiC,GAAG,EAAE,IAAI,6BAA6BA,mBAAmBjC,EAAE,IAAI,CAAC,CAAC,IAAIC,EAAEZ,EAAEA,GAAG,OAAOY,EAAE,GAAG,IAAIC,EAAEgkB,EAAE,cAAc,EAAE,KAAK,EAAE/jB,EAAEy3C,EAAE,aAAa,yBAAyBj6C,EAAE,EAAE2B,EAAEW,CAAC,EAAEG,EAAE63E,GAAG,CAAC,OAAO,CAAC,EAAEt6E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM,CAAC6C,EAAE,UAAUA,EAAE,UAAUA,EAAE,QAAQA,EAAE,SAAS,CAAC,CAAC,CAAC,EAAEmB,EAAE22E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ36E,EAAE,MAAM,CAAC,MAAM,CAAC6C,EAAE,UAAUD,EAAEC,EAAE,SAAS,CAAC,CAAC,CAAC,EAAE,EAAE,CAACA,EAAE,UAAUA,EAAE,UAAUD,EAAEC,EAAE,UAAUA,EAAE,SAAS,EAAEwE,EAAErH,EAAE,WAAWgE,CAAC,EAAEa,EAAE7E,EAAE,WAAW8C,CAAC,EAAE2B,EAAE6tE,GAAGztE,EAAEwC,EAAE,CAAC,EAAE,OAAOrH,EAAE,8BAA8B8C,CAAC,EAAE9C,EAAE,8BAA8BgE,CAAC,EAAEhE,EAAE,eAAe6C,EAAE,YAAY4B,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAI0+E,GAAG,CAAC,WAAWnkE,GAAG,YAAY,MAAM,WAAWkkE,EAAE,EAAE,SAASE,GAAGtjF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMM,CAAC,EAAE,EAAEC,EAAEumB,EAAE,cAAcxmB,EAAE,KAAK,EAAE,EAAEA,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAG,EAAEC,EAAE,EAAE0B,EAAE44E,GAAG,CAAC,OAAO,CAAC,EAAEv6E,CAAC,EAAE,QAAQJ,EAAE,MAAM,CAAC,MAAM,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEgC,EAAE8/E,GAAG//E,EAAE,GAAG/B,CAAC,EAAEiC,EAAE04E,GAAG,CAAC,OAAO,CAAC,EAAE34E,CAAC,EAAE,QAAQhC,EAAE,MAAM,CAAC,MAAMI,EAAE,KAAK,CAAC,CAAC,EAAE,OAAOJ,EAAE,8BAA8B+B,CAAC,EAAE/B,EAAE,8BAA8BgC,CAAC,EAAEC,CAAC,CAAC,IAAIohF,GAAG,CAAC,WAAWhkE,GAAG,YAAY,MAAM,WAAW+jE,EAAE,EAAME,GAAGzN,GAAGt2D,GAAGzf,GAAG,OAAO,SAASA,CAAC,EAAE,EAAE,EAAE,MAAM,EAAEyjF,GAAG,CAAC,WAAWhkE,GAAG,YAAY,MAAM,WAAW+jE,EAAE,EAAME,GAAG3N,GAAGr2D,GAAG1f,GAAG,KAAK,IAAIA,CAAC,IAAI,EAAE,EAAE,EAAE,EAAE,MAAM,EAAE2jF,GAAG,CAAC,WAAWjkE,GAAG,YAAY,MAAM,WAAWgkE,EAAE,EAAME,GAAG7N,GAAGp2D,GAAG3f,GAAG,OAAO,MAAMA,CAAC,EAAE,EAAE,EAAE,MAAM,EAAE6jF,GAAG,CAAC,WAAWlkE,GAAG,YAAY,MAAM,WAAWikE,EAAE,EAAE,SAASE,GAAG9jF,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,MAAMM,EAAE,KAAKC,EAAE,IAAI,CAAC,EAAEL,EAAE,EAAE2yE,GAAGvyE,EAAEC,EAAE,CAAC,EAAE,OAAO,EAAE,eAAe,CAAC,EAAE,MAAM,EAAE,UAAU,CAAC,CAAC,CAAC,IAAIwjF,GAAG,CAAC,WAAWhkE,GAAG,YAAY,MAAM,WAAW+jE,EAAE,EAAME,GAAGjO,GAAG91D,GAAGjgB,GAAG,KAAK,MAAMA,CAAC,CAAC,EAAEikF,GAAG,CAAC,WAAWhkE,GAAG,YAAY,MAAM,WAAW+jE,EAAE,EAAME,GAAGnP,GAAG,CAAC/0E,EAAE,IAAIA,GAAG,CAAC,EAAEmkF,GAAG1O,GAAGv1D,GAAGgkE,GAAG,KAAK,MAAM,EAAEE,GAAG,CAAC,WAAWlkE,GAAG,YAAY,MAAM,WAAWikE,EAAE,EAAME,GAAGtO,GAAG51D,GAAGngB,GAAGA,EAAE,EAAE,EAAE,MAAM,EAAEskF,GAAG,CAAC,WAAWnkE,GAAG,YAAY,MAAM,WAAWkkE,EAAE,EAAME,GAAGxP,GAAG,CAAC/0E,EAAE,IAAIA,GAAG,CAAC,EAAEwkF,GAAG/O,GAAGr1D,GAAGmkE,GAAG,KAAK,MAAM,EAAEE,GAAG,CAAC,WAAWrkE,GAAG,YAAY,MAAM,WAAWokE,EAAE,EAAE,SAASE,GAAG1kF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,YAAY,EAAE,KAAK,EAAE,MAAM0B,EAAE,KAAKC,CAAC,EAAE5B,EAAEmxE,GAAGlxE,EAAE,KAAK,EAAE,IAAI4B,EAAE5B,EAAE,MAAM,GAAGqC,EAAET,EAAE,EAAEU,EAAE3C,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOuC,EAAEgkB,EAAE,cAAcvmB,EAAE,KAAK,EAAEwC,EAAE,IAAI,aAAaD,CAAC,EAAE,SAASE,EAAEkB,EAAE,CAAC,IAAI,EAAEA,EAAE/B,EAAEoF,EAAErD,EAAE,EAAE,KAAK,IAAI,EAAE,EAAE,CAAC,EAAEa,EAAEb,EAAE,EAAE,KAAK,IAAI,EAAE,EAAEtB,CAAC,EAAE+B,EAAE,EAAE,KAAK4C,GAAGxC,EAAEwC,IAAI,CAAC,IAAI3C,EAAE/B,EAAE0E,GAAG5C,GAAGC,EAAEA,CAAC,CAAC,OAAOD,CAAC,CAAC,QAAQT,EAAE,EAAEA,EAAEpB,EAAEoB,IAAI,CAAC,IAAI,EAAElB,EAAEkB,CAAC,EAAEqD,EAAE1E,EAAEqB,GAAG,KAAK,IAAI,EAAEjC,EAAE,EAAE,CAACC,CAAC,EAAEa,EAAEmB,GAAGqD,CAAC,CAAC,OAAOrH,EAAE,eAAeK,EAAE,MAAMA,EAAE,MAAMwC,CAAC,CAAC,CAAC,IAAI4hF,GAAG,CAAC,WAAWnkE,GAAG,YAAY,MAAM,WAAWkkE,EAAE,EAAE,SAASE,GAAG5kF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,EAAE,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,YAAY0B,EAAE,KAAKC,EAAE,MAAMC,EAAE,KAAKS,CAAC,EAAEtC,EAAEmxE,GAAG,EAAE,SAAS,EAAE,IAAI5uE,EAAEikB,EAAE,cAAc,EAAE,KAAK,EAAEhkB,EAAE,EAAE,MAAM,GAAGC,EAAE7C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO8C,EAAE9C,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO2D,EAAEhE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,EAAE,IAAI,aAAa2C,CAAC,EAAE0E,EAAE1E,EAAE,QAAQkC,EAAE,EAAEA,EAAEwC,EAAExC,IAAI,CAAC,IAAIJ,EAAEI,EAAEjC,EAAE8B,EAAEG,EAAEJ,EAAE,KAAK,IAAI,EAAEA,EAAE1C,CAAC,EAAE4C,EAAEE,EAAEJ,EAAE,KAAK,IAAI7B,EAAE6B,EAAE1C,EAAE,CAAC,EAAE6C,EAAE,EAAE,QAAQ0C,EAAE5C,EAAE4C,EAAE3C,EAAE2C,IAAI1C,GAAG,KAAK,IAAI9B,EAAEwE,GAAG,CAAC,EAAE1C,EAAE3C,EAAE2C,EAAE5C,EAAE,QAAQsF,EAAE5C,EAAE4C,EAAE3C,EAAE2C,IAAI,CAAC,IAAIxC,EAAE,GAAG7C,EAAES,EAAEI,EAAEwE,GAAGtD,EAAEa,GAAGD,EAAEC,IAAIyC,IAAIxC,GAAG,KAAK,IAAIF,EAAE,CAAClC,CAAC,GAAGoC,GAAGjC,EAAEgC,GAAG,EAAEyC,IAAIxC,CAAC,CAAC,CAAC,OAAO9E,EAAE,eAAe,EAAE,MAAMK,EAAE,MAAM,CAAC,CAAC,CAAC,IAAIskF,GAAG,CAAC,WAAWpkE,GAAG,YAAY,MAAM,WAAWmkE,EAAE,EAAE,SAASE,GAAG9kF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,iBAAiB,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAE/B,EAAEgC,EAAE3B,EAAE,MAAM4B,EAAED,EAAE,OAAOU,EAAEkkB,EAAE,eAAe,EAAE5kB,CAAC,EAAEW,EAAED,EAAEE,EAAE03C,EAAE,mBAAmB33C,EAAEV,CAAC,EAAEY,EAAEd,EAAE,KAAK,IAAI1B,EAAE,MAAM,EAAE,OAAO,GAAGuC,GAAG,KAAK,CAAC,IAAI8B,EAAE,IAAI,MAAMzC,CAAC,EAAE,QAAQ0C,EAAE,EAAEA,EAAED,EAAE,OAAOC,IAAID,EAAEC,GAAG3C,EAAEY,EAAE+B,IAAI9B,EAAE4xE,GAAG5xE,EAAEb,EAAE3B,EAAE,MAAMuC,EAAE8B,CAAC,EAAE/B,EAAE23C,EAAE,iBAAiB33C,EAAE,OAAOV,CAAC,EAAED,EAAE0C,CAAC,CAAC6sE,GAAGlxE,EAAE,KAAK,EAAEi6C,EAAE,2BAA2B,MAAM33C,EAAEV,CAAC,EAAE,GAAG,CAACa,EAAEkB,CAAC,EAAEs2C,EAAE,0BAA0Bt4C,EAAEW,CAAC,EAAE,EAAEikB,EAAE,cAAc5iB,CAAC,EAAEqD,EAAEwrE,GAAGhwE,EAAE,EAAEC,EAAEzC,EAAE,KAAK,EAAEwE,EAAE9C,EAAE,MAAMsF,EAAEvE,EAAEzC,EAAE,KAAK,EAAEoE,EAAE3B,EAAE,OAAO,IAAI2B,EAAE61C,EAAE,qBAAqBx3C,EAAEJ,CAAC,GAAG,CAAC,OAAOmC,EAAE,MAAMJ,EAAE,MAAMpE,EAAE,KAAK,CAAC,CAAC,IAAIwkF,GAAG,CAAC,WAAWrkE,GAAG,YAAY,MAAM,WAAWokE,EAAE,EAAE,SAASE,GAAGhlF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAEkxE,GAAGlxE,EAAE,SAAS,EAAE,GAAG,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,CAAC,EAAE5B,EAAE6B,EAAE,EAAE2kB,EAAE,OAAO0zB,EAAE,+BAA+B,EAAEr4C,CAAC,EAAE,IAAI,wEAAwE,oBAAoBA,IAAI,EAAE,IAAIS,EAAE43C,EAAE,kBAAkBj6C,EAAE,MAAM,EAAE,EAAE4B,EAAEF,EAAEC,CAAC,EAAEW,EAAE,GAAGD,EAAE,cAAc,GAAGA,EAAE,eAAe,GAAGkkB,EAAE,YAAYlkB,EAAE,QAAQA,EAAE,QAAQ,EAAEC,EAAEsyE,GAAG,CAAC,OAAO,CAAC,EAAE50E,CAAC,EAAE,QAAQL,CAAC,CAAC,MAAM,CAAC,IAAI4C,EAAE5C,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOwC,EAAE+jB,EAAE,eAAevmB,EAAE,KAAK,EAAEyC,EAAE45E,GAAG95E,EAAEvC,EAAE,MAAMA,EAAE,MAAMwC,EAAEH,EAAE,KAAK,EAAEC,EAAE3C,EAAE,eAAe0C,EAAE,SAASrC,EAAE,MAAMyC,EAAE,MAAM,CAAC,CAAC,OAAOH,CAAC,CAAC,IAAIoiF,GAAG,CAAC,WAAWrkE,GAAG,YAAY,MAAM,WAAWokE,EAAE,EAAE,SAASE,GAAGllF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,EAAE,WAAWC,CAAC,EAAE7B,EAAEmxE,GAAGlxE,EAAE,WAAW,EAAE,IAAIqC,EAAE43C,EAAE,kBAAkBj6C,EAAE,MAAM,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,CAAC,EAAEU,EAAE3C,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOuC,EAAEg6E,GAAGj6E,EAAEtC,EAAE,MAAMA,EAAE,MAAMumB,EAAE,eAAevmB,EAAE,KAAK,EAAEqC,EAAE,KAAK,EAAE,OAAO1C,EAAE,eAAe4C,EAAE,MAAM,UAAUA,EAAE,MAAM,CAAC,CAAC,IAAIqiF,GAAG,CAAC,WAAWrkE,GAAG,YAAY,MAAM,WAAWokE,EAAE,EAAE,SAASE,GAAGplF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,MAAM,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ0B,EAAE,IAAIC,EAAE,gBAAgBC,CAAC,EAAE7B,EAAEmxE,GAAG,CAAClxE,EAAE,CAAC,EAAE,eAAe,EAAE,IAAIqC,EAAE43C,EAAE,kBAAkB,EAAE,MAAM,EAAEv4C,EAAE,EAAEC,EAAEC,CAAC,EAAEU,EAAE3C,EAAE,WAAW,CAAC,EAAE4C,EAAEi6E,GAAGl6E,EAAED,CAAC,EAAEG,EAAEH,EAAE,YAAYI,EAAEJ,EAAE,aAAasB,EAAEtB,EAAE,YAAY,EAAEA,EAAE,cAAc2E,EAAE3E,EAAE,eAAemC,EAAEnC,EAAE,cAAc+B,EAAE/B,EAAE,qBAAqBgC,EAAEhC,EAAE,sBAAsBiC,EAAEjC,EAAE,qBAAqBkC,EAAEH,EAAE,EAAE/B,EAAE,QAAQ,MAAM4E,EAAE3C,EAAE,EAAEjC,EAAE,QAAQ,KAAKoC,EAAEJ,EAAE,EAAEhC,EAAE,QAAQ,IAAI6E,EAAE8oB,GAAG,EAAE,MAAM,SAAS,EAAEtrB,EAAE/E,EAAE,WAAWK,CAAC,EAAE,QAAQ2E,EAAE,EAAEA,EAAEtC,EAAE,UAAU,EAAEsC,EAAE,QAAQC,EAAE,EAAEA,EAAEvC,EAAE,WAAW,EAAEuC,EAAE,QAAQC,EAAE,EAAEA,EAAExC,EAAE,QAAQ,EAAEwC,EAAE,QAAQC,EAAE,EAAEA,EAAEzC,EAAE,SAAS,EAAEyC,EAAE,QAAQC,EAAE,EAAEA,EAAE1C,EAAE,QAAQ,EAAE0C,EAAE,CAAC,IAAI2C,EAAE7C,EAAEN,EAAE6C,EAAEtC,EAAEL,EAAEkD,EAAE5C,EAAEkC,EAAEW,EAAG,EAAE,QAAQC,EAAG,EAAEA,EAAGzD,EAAEyD,GAAI,EAAE,CAAC,IAAIC,IAAIJ,EAAEG,GAAIrF,EAAE,GAAG,EAAEsF,GAAG,GAAGA,IAAIzF,EAAE,UAAU,KAAK,MAAMyF,EAAE,IAAIA,IAAI,QAAQC,GAAG,EAAEA,GAAG1D,EAAE0D,IAAIf,EAAE,CAAC,IAAIgB,IAAIZ,EAAEW,IAAItF,EAAE,GAAG,EAAEuF,GAAG,GAAGA,IAAI3F,EAAE,WAAW,KAAK,MAAM2F,EAAE,IAAIA,IAAI,QAAQ5B,GAAG,EAAEA,GAAG9B,EAAE8B,IAAI5B,EAAE,CAAC,IAAI0D,IAAIP,EAAEvB,IAAIzC,EAAE,GAAGuE,GAAG,GAAGA,IAAI7F,EAAE,UAAU,KAAK,MAAM6F,EAAE,IAAIA,GAAG,SAAS,IAAIC,GAAG/D,EAAEC,EAAEC,EAAE,EAAE/B,EAAE,IAAIoC,EAAEmD,GAAGE,GAAGE,GAAGtD,CAAC,EAAEwD,GAAGP,EAAGxD,EAAEC,EAAEyD,GAAGzD,EAAE8B,GAAGiC,GAAGF,KAAKC,GAAG,EAAE,EAAKC,KAAK,IAAWT,GAAIlD,EAAE,IAAIC,EAAEmD,GAAGE,GAAGE,GAAGtD,CAAC,EAAEyD,GAAE,CAAC,CAAC,CAACnB,EAAE,IAAIU,EAAGjD,EAAEE,EAAEC,EAAEC,EAAEH,CAAC,CAAC,CAAC,OAAOjF,EAAE,eAAeuH,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAI49E,GAAG,CAAC,WAAWtkE,GAAG,YAAY,MAAM,WAAWqkE,EAAE,EAAE,SAASE,GAAGtlF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE,EAAE0B,EAAE,EAAEwvE,GAAG,CAAC,EAAE,CAAC,EAAE,aAAa,EAAE,GAAG,CAAC,WAAWvvE,EAAE,QAAQC,EAAE,IAAIS,EAAE,gBAAgBC,CAAC,EAAEvC,EAAEwC,EAAE03C,EAAE,kBAAkBv4C,EAAE,MAAMC,EAAEC,EAAE,EAAES,EAAEC,CAAC,EAAEE,EAAE7C,EAAE,KAAK,IAAI+B,EAAE,MAAM,EAAE,OAAOe,EAAEutB,GAAGztB,EAAE,SAASb,EAAE,MAAM46E,GAAG95E,EAAEd,EAAE,MAAMA,EAAE,MAAMa,CAAC,EAAE,MAAM,EAAEoB,EAAEpB,EAAE,aAAa,EAAEA,EAAE,YAAYyE,EAAEzE,EAAE,eAAeiC,EAAEjC,EAAE,cAAc6B,EAAE7B,EAAE,sBAAsB8B,EAAE9B,EAAE,qBAAqB+B,EAAED,EAAE,EAAE9B,EAAE,QAAQ,KAAKgC,EAAEH,EAAE,EAAE7B,EAAE,QAAQ,IAAI0E,EAAE+oB,GAAGtuB,EAAE,MAAM,SAAS,EAAE+C,EAAE9E,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOkH,EAAE8oB,GAAGhwB,EAAE,MAAM,UAAUyE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEnC,EAAE,UAAU,EAAEmC,EAAE,QAAQC,EAAE,EAAEA,EAAEpC,EAAE,WAAW,EAAEoC,EAAE,QAAQC,EAAE,EAAEA,EAAErC,EAAE,SAAS,EAAEqC,EAAE,QAAQC,EAAE,EAAEA,EAAEtC,EAAE,QAAQ,EAAEsC,EAAE,CAAC,IAAIC,EAAEF,EAAEL,EAAEQ,EAAEF,EAAEP,EAAEoD,EAAE,EAAE,QAAQN,EAAE,EAAEA,EAAEhD,EAAEgD,GAAGJ,EAAE,CAAC,IAAIW,GAAG7C,EAAEsC,GAAGzD,EAAE,GAAG,EAAEgE,EAAE,GAAGA,GAAGpF,EAAE,WAAW,KAAK,MAAMoF,CAAC,IAAIA,GAAG,QAAQC,EAAG,EAAEA,EAAGvD,EAAEuD,GAAIpD,EAAE,CAAC,IAAIqD,GAAI9C,EAAE6C,GAAI,EAAE,GAAGC,EAAG,GAAGA,GAAItF,EAAE,UAAU,KAAK,MAAMsF,CAAE,IAAIA,EAAG,SAAS,IAAIC,GAAG1D,EAAEC,EAAE,EAAE5B,EAAE,IAAIiC,EAAEiD,EAAEE,EAAGlD,CAAC,EAAEoD,GAAGX,EAAE/C,EAAEuD,EAAGI,GAAGF,KAAKC,GAAG,EAAE,EAAKC,KAAK,IAAWN,GAAGR,EAAE,IAAIxC,EAAEiD,EAAEE,EAAGlD,CAAC,EAAEqD,GAAE,CAAC,CAACf,EAAE,IAAIS,EAAEhD,EAAEE,EAAEC,EAAEF,CAAC,CAAC,CAAC,OAAOhF,EAAE,eAAesH,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAI+9E,GAAG,CAAC,WAAW1kE,GAAG,YAAY,MAAM,WAAWykE,EAAE,EAAE,SAASE,GAAGxlF,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAEumB,EAAE,eAAe,CAAC,EAAE,EAAE81D,GAAG58E,EAAE,EAAEE,EAAE,EAAEK,EAAE,KAAK,EAAE0B,EAAE46E,GAAG78E,EAAE,EAAEE,EAAEK,EAAE,GAAGD,CAAC,EAAE,MAAM,CAAC,EAAE,OAAO2B,EAAE,MAAM,CAAC,CAAC,IAAIwjF,GAAG,CAAC,WAAWzkE,GAAG,YAAY,MAAM,WAAW,CAAC,CAAC,OAAOhhB,EAAE,MAAM,EAAE,QAAQE,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEI,CAAC,EAAEN,EAAE,CAAC,WAAWO,EAAE,QAAQ,EAAE,IAAI,EAAE,oBAAoB0B,CAAC,EAAE,EAAEC,EAAEhC,EAAEuxE,GAAGnxE,EAAE,mBAAmB,EAAE,IAAI6B,EAAED,EAAE,KAAK,IAAI5B,EAAE,MAAM,EAAE,OAAOsC,EAAE43C,EAAE,kBAAkBl6C,EAAE,MAAMC,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAACsC,EAAEC,CAAC,EAAE0iF,GAAGrjF,EAAE7B,EAAE,MAAMA,EAAE,MAAM2B,EAAEW,CAAC,EAAEG,EAAEb,EAAE,MAAMW,EAAED,EAAE,SAAStC,EAAE,KAAK,EAAE0C,EAAEd,EAAE,MAAMY,EAAEF,EAAE,SAAStC,EAAE,KAAK,EAAE,MAAM,CAAC,CAAC,OAAOyC,EAAE,MAAMH,EAAE,SAAS,MAAMtC,EAAE,KAAK,EAAE,CAAC,OAAO0C,EAAE,MAAMJ,EAAE,SAAS,MAAM,OAAO,CAAC,CAAC,CAAC,EAAE,SAAS8iF,GAAG1lF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAE6kB,EAAE,eAAe,EAAEvmB,EAAE,KAAK,EAAE,EAAEi6C,EAAE,0BAA0Bj6C,EAAE,MAAM0B,CAAC,EAAE,GAAGW,EAAEkkB,EAAE,cAAc,CAAC,EAAE,EAAE,CAAC,EAAEhkB,EAAE5C,EAAE,eAAe,CAAC,EAAE,UAAU,IAAI,aAAa,CAAC0C,CAAC,CAAC,CAAC,EAAE,EAAE,KAAKE,CAAC,EAAE,IAAIC,EAAEwyE,GAAG,CAAC,OAAO,CAAC,EAAEh1E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAE,EAAE,KAAK6C,CAAC,EAAE,IAAIC,EAAE8+E,GAAG,CAAC,OAAO,CAAC,EAAE/+E,EAAE,EAAED,CAAC,EAAE,QAAQ5C,CAAC,CAAC,EAAE,EAAE,KAAK8C,CAAC,EAAE,IAAIkB,EAAE28E,GAAG,CAAC,OAAO,CAAC,EAAE79E,CAAC,EAAE,QAAQ9C,EAAE,MAAM,CAAC,KAAK,EAAE,SAAS,CAAC,CAAC,CAAC,EAAE,OAAO,EAAE,QAAQiE,GAAGjE,EAAE,8BAA8BiE,CAAC,CAAC,EAAED,CAAC,CAAC,IAAIyhF,GAAG,CAAC,WAAW1kE,GAAG,YAAY,MAAM,WAAWykE,EAAE,EAAE,SAASE,GAAG5lF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAEmxE,GAAGlxE,EAAE,KAAK,EAAE,IAAI0B,EAAE6kB,EAAE,eAAe,EAAEvmB,EAAE,KAAK,EAAE2B,EAAED,EAAEE,EAAEq4C,EAAE,mBAAmBt4C,EAAE3B,EAAE,MAAM,MAAM,EAAEqC,EAAErC,EAAE4B,GAAG,OAAOS,EAAEo1E,GAAG,CAAC,OAAO,CAAC,EAAEz3E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAKiC,CAAC,CAAC,CAAC,EAAED,EAAEs4C,EAAE,iBAAiBt4C,EAAE,OAAO3B,EAAE,MAAM,MAAM,GAAGi6C,EAAE,2BAA2B,MAAMt4C,EAAEU,EAAE,MAAM,MAAM,EAAE,GAAG,CAACC,EAAEC,CAAC,EAAE03C,EAAE,0BAA0B53C,EAAE,MAAMV,CAAC,EAAEa,EAAE+jB,EAAE,cAAchkB,CAAC,EAAEE,EAAE8jB,EAAE,oBAAoBA,EAAE,cAAcjkB,CAAC,EAAED,EAAE,KAAK,EAAEsB,EAAEhE,EAAE,KAAK,IAAI0C,EAAE,MAAM,EAAE,OAAO,QAAQ2E,EAAE,EAAEA,EAAEvE,EAAE,OAAO,EAAEuE,EAAE,CAAC,IAAIxC,EAAEwC,EAAExE,EAAE4B,EAAET,EAAEa,GAAG,QAAQH,EAAE,EAAEA,EAAE7B,EAAE,EAAE6B,EAAE,CAAC,IAAIC,EAAEX,EAAEa,EAAEH,IAAI,OAAO,MAAMC,CAAC,GAAGA,EAAEF,KAAKA,EAAEE,EAAE,CAAC7B,EAAEuE,GAAG5C,CAAC,CAACxC,GAAG,MAAMjC,EAAE,8BAA8B0C,CAAC,EAAE,IAAI,EAAE1C,EAAE,eAAe2C,EAAED,EAAE,MAAMI,CAAC,EAAE,GAAG,EAAE,CAAC,IAAIuE,EAAEizC,EAAE,qBAAqB33C,EAAEZ,CAAC,EAAE8C,EAAE81E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ36E,EAAE,MAAM,CAAC,MAAMqH,CAAC,CAAC,CAAC,EAAE,OAAOrH,EAAE,8BAA8B,CAAC,EAAE6E,CAAC,CAAC,OAAO,CAAC,CAAC,IAAI8gF,GAAG,CAAC,WAAW3kE,GAAG,YAAY,MAAM,WAAW0kE,EAAE,EAAE,SAASE,GAAG9lF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,SAAS,EAAE,KAAK,CAAC,EAAED,EAAEmxE,GAAGlxE,EAAE,WAAW,EAAE,IAAI0B,EAAE,EAAE,IAAI,CAAC0C,EAAEC,IAAID,EAAE,GAAGpE,EAAE,MAAMqE,GAAGD,EAAE,EAAE,EAAEzC,EAAE,EAAE,IAAIyC,GAAGA,EAAE,EAAE,EAAExC,EAAE,EAAE,IAAI,CAACwC,EAAEC,IAAID,EAAE,GAAGpE,EAAE,MAAMqE,EAAE,EAAEhC,EAAE,IAAI,UAAU,EAAE,EAAEC,EAAE3C,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOuC,EAAEvC,EAAE,MAAM,OAAOwC,EAAE+jB,EAAE,eAAevmB,EAAE,KAAK,EAAEyC,EAAE8jB,EAAE,cAAc7kB,CAAC,EAAEiC,EAAEjC,EAAE,OAAO,EAAE6kB,EAAE,eAAe7kB,CAAC,EAAEsF,EAAEuf,EAAE,uBAAuBvmB,EAAE,MAAMyC,CAAC,EAAE,QAAQ2B,EAAE,EAAEA,EAAE3B,EAAE2B,IAAI,CAAC,IAAIC,EAAEkiB,EAAE,WAAWniB,EAAET,EAAE,CAAC,EAAE,QAAQY,EAAE,EAAEA,EAAEZ,EAAEY,IAAIF,EAAEE,GAAG5C,EAAE4C,GAAGF,EAAEE,GAAG5C,EAAE4C,GAAG,EAAEF,EAAEE,GAAGlC,EAAEgC,EAAEE,IAAI3C,EAAE2C,KAAKF,EAAEE,IAAI3C,EAAE2C,GAAG,GAAG,EAAEF,EAAEE,GAAGlC,GAAGgC,EAAEA,EAAE,IAAI,CAACE,EAAE0C,IAAI1C,EAAE5C,EAAEsF,EAAE,EAAE,IAAI3C,EAAEiiB,EAAE,WAAWliB,EAAE9B,EAAEC,CAAC,EAAEwE,EAAE5C,GAAG9B,EAAEgC,EAAE,CAAC,MAAM,CAAC,OAAO3E,EAAE,MAAMqH,EAAEtF,EAAE1B,EAAE,KAAK,EAAE,MAAM0B,EAAE,MAAM1B,EAAE,KAAK,CAAC,CAAC,IAAIwlF,GAAG,CAAC,WAAW3kE,GAAG,YAAY,MAAM,WAAW0kE,EAAE,EAAME,GAAGjR,GAAG,CAAC/0E,EAAE,IAAI,CAAC,IAAIE,EAAEF,EAAE,EAAE,OAAOA,EAAE,GAAG,EAAE,GAAGA,GAAG,GAAG,GAAG,EAAEE,GAAGA,EAAE,GAAG,CAAC,CAAC,EAAE+lF,GAAGxQ,GAAGp0D,GAAG2kE,EAAE,EAAEE,GAAG,CAAC,WAAW7kE,GAAG,YAAY,MAAM,WAAW4kE,EAAE,EAAME,GAAG3lF,GAAG+E,GAAG,CAAC,EAAE,SAAS6gF,GAAGpmF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,CAAC,EAAE,EAAE,CAAC,IAAI,CAAC,EAAED,EAAE,EAAEC,EAAE,MAAM,OAAO0B,EAAE,EAAE,GAAGA,IAAI,KAAKA,EAAE,EAAE,GAAGA,IAAI,EAAE,EAAE,MAAM,MAAM,4EAA4E,iBAAiBA,GAAG,EAAE,IAAIC,EAAE4kB,EAAE,eAAe,CAAC7kB,CAAC,EAAE1B,EAAE,KAAK,EAAE4B,EAAE2iF,GAAG,CAAC,OAAO,CAAC,EAAEvkF,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,iBAAiBgC,EAAE,SAAS,EAAE,CAAC,CAAC,EAAEU,EAAE43C,EAAE,qBAAqBr4C,EAAE,MAAMD,CAAC,EAAEW,EAAEg4E,GAAG,CAAC,OAAO,CAAC,EAAE14E,CAAC,EAAE,QAAQjC,EAAE,MAAM,CAAC,MAAM0C,CAAC,CAAC,CAAC,EAAEE,EAAE+2E,GAAG,CAAC,OAAO,CAAC,EAAEt5E,EAAE,EAAEsC,CAAC,EAAE,QAAQ3C,CAAC,CAAC,EAAE6C,EAAEszE,GAAG,CAAC,OAAO,CAAC,EAAEvzE,CAAC,EAAE,QAAQ5C,CAAC,CAAC,EAAE8C,EAAE69E,GAAG,CAAC,OAAO,CAAC,EAAE99E,CAAC,EAAE,QAAQ7C,EAAE,MAAM,CAAC,KAAKgC,EAAE,SAAS,EAAE,CAAC,CAAC,EAAEgC,EAAE22E,GAAG,CAAC,OAAO,CAAC,EAAE73E,CAAC,EAAE,QAAQ9C,EAAE,MAAM,CAAC,MAAM0C,CAAC,CAAC,CAAC,EAAE,EAAEk/E,GAAG,CAAC,OAAO,CAAC,EAAE/+E,EAAE,EAAEmB,CAAC,EAAE,QAAQhE,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BiC,CAAC,EAAEjC,EAAE,8BAA8B2C,CAAC,EAAE3C,EAAE,8BAA8B4C,CAAC,EAAE5C,EAAE,8BAA8B6C,CAAC,EAAE7C,EAAE,8BAA8B8C,CAAC,EAAE9C,EAAE,8BAA8BgE,CAAC,EAAE,CAAC,CAAC,IAAImiF,GAAG,CAAC,WAAWliE,GAAG,YAAY,MAAM,WAAWiiE,EAAE,EAAE,SAASE,GAAGtmF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,KAAK,EAAE,WAAW0B,CAAC,EAAE3B,EAAEmxE,GAAGlxE,EAAE,aAAa,EAAE,IAAI2B,EAAED,EAAE1B,EAAE6lF,GAAG,CAAC,OAAO,CAAC,OAAO7lF,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,IAAI,EAAE,CAAC,CAAC,EAAEiC,EAAED,EAAE,MAAM,GAAGU,EAAEV,EAAE,MAAM,GAAGW,EAAE3C,EAAE,KAAK,IAAIgC,EAAE,MAAM,EAAE,OAAOY,EAAE,CAACX,EAAE,CAAC,EAAEY,EAAE+jB,EAAE,oBAAoBA,EAAE,cAAchkB,CAAC,EAAE,OAAO,EAAE,QAAQE,EAAE,EAAEA,EAAEb,EAAE,EAAEa,EAAE,CAAC,IAAIkB,EAAElB,EAAEJ,EAAE,EAAE,IAAI,aAAaA,EAAE,CAAC,EAAE,EAAE,GAAGC,EAAEqB,GAAG,QAAQS,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,EAAEA,GAAG,EAAEA,EAAE,GAAG9B,EAAEqB,EAAES,GAAG,IAAI4C,EAAE4+E,GAAG,KAAK,EAAE,SAAS,CAAC,EAAEphF,EAAE/B,EAAE,EAAE,QAAQ2B,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAE2C,EAAE,EAAExE,EAAEgC,EAAEJ,GAAG,EAAE,OAAO,QAAQE,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,GAAGD,EAAE,EAAEC,GAAG,CAAC9B,EAAEgC,EAAEJ,GAAGE,EAAE,KAAK,CAAC,CAAC,CAAC,OAAO5C,GAAG/B,EAAE,8BAA8BgC,CAAC,EAAEhC,EAAE,eAAe4C,EAAE,QAAQC,CAAC,CAAC,CAAC,IAAIwjF,GAAG,CAAC,WAAWjlE,GAAG,YAAY,MAAM,WAAWglE,EAAE,EAAME,GAAGnoC,GAAG,wBAAwB,SAASooC,GAAGzmF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,aAAa0B,EAAE,eAAeC,CAAC,EAAE5B,EAAEmxE,GAAGlxE,EAAE,mBAAmB,EAAE,IAAI4B,EAAEjC,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOqC,EAAE1C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC,gBAAgB2C,CAAC,EAAE2jF,GAAGrkF,EAAES,EAAE,EAAEX,EAAEC,CAAC,EAAE,OAAOhC,EAAE,eAAe,CAAC2C,EAAE,MAAM,EAAE,QAAQ,IAAI,WAAWA,CAAC,CAAC,CAAC,CAAC,IAAI6jF,GAAG,CAAC,WAAWhlE,GAAG,YAAY,MAAM,WAAW+kE,EAAE,EAAME,GAAGtoC,GAAG,wBAAwB,SAASuoC,GAAG5mF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,aAAa0B,EAAE,eAAeC,EAAE,mBAAmBC,CAAC,EAAE7B,EAAEmxE,GAAGlxE,EAAE,yBAAyB,EAAE,IAAIqC,EAAE1C,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOsC,EAAE3C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC,gBAAgB4C,EAAE,aAAaC,CAAC,EAAE4jF,GAAG/jF,EAAEC,EAAE,EAAEZ,EAAEC,EAAEC,CAAC,EAAE,MAAM,CAACjC,EAAE,eAAe,CAAC4C,EAAE,MAAM,EAAE,QAAQ,IAAI,WAAWA,CAAC,CAAC,EAAE5C,EAAE,eAAe,CAAC,EAAE,QAAQ,IAAI,WAAW,CAAC6C,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI8jF,GAAG,CAAC,WAAWllE,GAAG,YAAY,MAAM,WAAWilE,EAAE,EAAME,GAAGzoC,GAAG,wBAAwB,SAAS0oC,GAAG/mF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,aAAa0B,EAAE,eAAeC,EAAE,aAAaC,CAAC,EAAE7B,EAAEmxE,GAAGlxE,EAAE,4BAA4B,EAAE,IAAIqC,EAAE1C,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOsC,EAAE3C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO4C,EAAE,EAAEC,EAAEd,EAAEe,EAAEd,EAAEgC,EAAE/B,EAAE,CAAC,gBAAgB,EAAE,eAAeoF,CAAC,EAAEu/E,GAAGlkF,EAAEC,EAAEC,EAAEC,EAAEC,EAAEkB,CAAC,EAAE,MAAM,CAAChE,EAAE,eAAe,CAAC,EAAE,MAAM,EAAE,QAAQ,IAAI,WAAW,CAAC,CAAC,EAAEA,EAAE,eAAe,CAACqH,EAAE,MAAM,EAAE,UAAU,IAAI,aAAaA,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIy/E,GAAG,CAAC,WAAWplE,GAAG,YAAY,MAAM,WAAWmlE,EAAE,EAAE,SAASE,GAAGjnF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,QAAQO,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,MAAM,EAAE,QAAQ0B,EAAE,SAASC,CAAC,EAAE5B,EAAEmxE,GAAGlxE,EAAE,QAAQ,EAAE,IAAI4B,EAAE2kB,EAAE,cAAcvmB,EAAE,KAAK,EAAEqC,EAAE,IAAI,aAAaT,EAAE,CAAC,EAAES,EAAE,KAAKV,CAAC,EAAE,IAAIW,EAAE3C,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO,QAAQuC,EAAE,EAAEA,EAAEX,EAAE,EAAEW,EAAED,EAAEC,IAAI,GAAGD,EAAEC,GAAG,IAAIF,EAAEE,EAAE,EAAED,EAAEC,IAAIb,GAAG,OAAO/B,EAAE,eAAe,CAAC,GAAGK,EAAE,MAAM,CAAC,EAAE,EAAEqC,CAAC,CAAC,CAAC,IAAIskF,GAAG,CAAC,WAAWplE,GAAG,YAAY,MAAM,WAAWmlE,EAAE,EAAE,SAASE,GAAGnnF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,CAAC,EAAE,EAAE,GAAGA,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,+CAA+C,EAAE,GAAGA,EAAE,QAAQ,YAAY,CAAC,IAAIC,EAAE80E,GAAG,CAAC,OAAO,CAAC,MAAM/0E,CAAC,EAAE,QAAQJ,CAAC,CAAC,EAAE,EAAEinF,GAAG,CAAC,OAAO,CAAC,EAAE5mF,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,EAAEk+E,GAAG,CAAC,OAAO,CAAC,MAAM99E,CAAC,EAAE,QAAQJ,CAAC,CAAC,EAAE+B,EAAEklF,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQjnF,CAAC,CAAC,EAAEgC,EAAE8yE,GAAG,CAAC,OAAO,CAAC,KAAK,EAAE,KAAK/yE,CAAC,EAAE,QAAQ/B,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BK,CAAC,EAAEL,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B+B,CAAC,EAAEC,CAAC,KAAM,QAAOqgF,GAAG,CAAC,QAAQriF,EAAE,MAAM,CAAC,MAAMI,EAAE,MAAM,MAAM,EAAE,MAAMA,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,IAAI8mF,GAAG,CAAC,WAAW1hE,GAAG,YAAY,MAAM,WAAWyhE,EAAE,EAAE,SAASE,GAAGrnF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,CAAC,EAAE,EAAE,GAAGA,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,8CAA8C,EAAE,GAAGA,EAAE,QAAQ,YAAY,CAAC,IAAIC,EAAE80E,GAAG,CAAC,OAAO,CAAC,MAAM/0E,CAAC,EAAE,QAAQJ,CAAC,CAAC,EAAE,EAAEmnF,GAAG,CAAC,OAAO,CAAC,EAAE9mF,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,EAAEk+E,GAAG,CAAC,OAAO,CAAC,MAAM99E,CAAC,EAAE,QAAQJ,CAAC,CAAC,EAAE+B,EAAEklF,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQjnF,CAAC,CAAC,EAAEgC,EAAE8yE,GAAG,CAAC,OAAO,CAAC,KAAK,EAAE,KAAK/yE,CAAC,EAAE,QAAQ/B,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BK,CAAC,EAAEL,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B+B,CAAC,EAAEC,CAAC,KAAM,QAAOqgF,GAAG,CAAC,QAAQriF,EAAE,MAAM,CAAC,MAAMI,EAAE,MAAM,MAAM,EAAE,MAAMA,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,IAAIgnF,GAAG,CAAC,WAAWzlE,GAAG,YAAY,MAAM,WAAWwlE,EAAE,EAAE,SAASE,GAAGvnF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,KAAKO,CAAC,EAAED,EAAE,GAAG,EAAE,SAAS,EAAE,OAAOqhF,GAAG,CAAC,OAAO,CAAC,MAAM,EAAE,EAAE,EAAE,QAAQzhF,EAAE,MAAM,CAAC,IAAIK,CAAC,CAAC,CAAC,EAAE,IAAI,EAAE,EAAE,GAAG,MAAM,EAAE,EAAE,GAAG,MAAM,EAAE,QAAQqC,GAAG,CAACkkB,EAAE,kBAAkB,EAAElkB,EAAE,MAAM,uDAAuD,EAAEkkB,EAAE,OAAO,IAAIlkB,EAAE,MAAM,IAAI,uDAAuD,CAAC,CAAC,EAAE,IAAIX,EAAE,CAAC,EAAEC,EAAE,EAAE,IAAIU,GAAG,CAAC,IAAIC,EAAE8+E,GAAG,CAAC,OAAO,CAAC,MAAM/+E,CAAC,EAAE,QAAQ1C,EAAE,MAAM,CAAC,IAAIK,CAAC,CAAC,CAAC,EAAE,OAAO0B,EAAE,KAAKY,CAAC,EAAEA,CAAC,CAAC,EAAEV,EAAEm8E,GAAG,CAAC,OAAOp8E,EAAE,QAAQhC,EAAE,MAAM,CAAC,KAAKK,CAAC,CAAC,CAAC,EAAE,OAAO0B,EAAE,QAAQW,GAAG1C,EAAE,8BAA8B0C,CAAC,CAAC,EAAET,CAAC,CAAC,IAAIqlF,GAAG,CAAC,WAAWzlE,GAAG,YAAY,MAAM,WAAWwlE,EAAE,EAAE,SAASE,GAAGznF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,SAAS,EAAE,cAAc,CAAC,EAAED,EAAEmxE,GAAGlxE,EAAE,KAAK,EAAE,IAAI0B,EAAE,EAAE,IAAI,CAAC,EAAE0C,IAAI,EAAE,GAAGpE,EAAE,MAAMoE,GAAG,EAAE,EAAE,EAAEzC,EAAE,EAAE,IAAI,GAAG,EAAE,EAAE,EAAEC,EAAEjC,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOqC,EAAEkkB,EAAE,cAAcvmB,EAAE,KAAK,EAAEsC,EAAEtC,EAAE,MAAM,OAAOuC,EAAEgkB,EAAE,eAAevmB,EAAE,KAAK,EAAEwC,EAAE+jB,EAAE,cAAc7kB,CAAC,EAAEe,EAAEf,EAAE,OAAOiC,EAAE4iB,EAAE,eAAe7kB,CAAC,EAAE,EAAE6kB,EAAE,uBAAuBvmB,EAAE,MAAMwC,CAAC,EAAE,IAAI,GAAG,EAAE,KAAK,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEH,EAAE,IAAI,CAAC,IAAIgC,EAAEkiB,EAAE,WAAW,EAAEjkB,EAAEC,CAAC,EAAE,IAAI,CAACgC,EAAE0C,IAAI1C,EAAE5C,EAAEsF,EAAE,EAAE3C,EAAEiiB,EAAE,WAAWliB,EAAE5B,EAAEkB,CAAC,EAAE,EAAEW,GAAG1C,EAAE,EAAE,CAAC,MAAM,CAAC,OAAOjC,EAAE,MAAM,EAAE+B,EAAE1B,EAAE,KAAK,EAAE,MAAM0B,EAAE,MAAM1B,EAAE,KAAK,CAAC,CAAC,IAAImnF,GAAG,CAAC,WAAW1lE,GAAG,YAAY,MAAM,WAAWylE,EAAE,EAAME,GAAG5S,GAAG,CAAC/0E,EAAE,IAAI,KAAK,IAAIA,EAAE,CAAC,CAAC,EAAE4nF,GAAGnS,GAAGvzD,GAAGylE,EAAE,EAAEE,GAAG,CAAC,WAAW3lE,GAAG,YAAY,MAAM,WAAW0lE,EAAE,EAAE,SAASE,GAAG9nF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,mBAAmBO,EAAE,kBAAkB,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,iBAAiB0B,CAAC,EAAE3B,EAAE4B,EAAE3B,EAAE,IAAIgH,GAAGrH,EAAE,KAAK,IAAIqH,EAAE,MAAM,EAAE,MAAM,EAAEpF,EAAE5B,EAAE,IAAIgH,GAAGA,EAAE,KAAK,EAAE3E,EAAE1C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO2C,EAAE3C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC4C,EAAEC,EAAEC,CAAC,EAAEswE,GAAGpxE,EAAEC,EAAES,EAAE,EAAE,MAAM,EAAE,MAAMC,EAAE,EAAE,MAAMZ,CAAC,EAAEiC,EAAEpB,EAAE,IAAIyE,GAAGrH,EAAE,eAAe,CAACqH,EAAE,MAAM,EAAE,QAAQA,CAAC,CAAC,EAAE,EAAErH,EAAE,eAAe8C,EAAE,EAAE,MAAMD,CAAC,EAAE,OAAOmB,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI6jF,GAAG,CAAC,WAAW1lE,GAAG,YAAY,MAAM,WAAWylE,EAAE,EAAE,SAASE,GAAGhoF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,OAAOM,EAAE,OAAOC,EAAE,OAAO,CAAC,EAAE,EAAE,EAAEL,EAAE,KAAK,IAAII,EAAE,MAAM,EAAE,OAAO2B,EAAE/B,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO2B,EAAEhC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAACiC,EAAES,CAAC,EAAE2wE,GAAG,EAAEjzE,EAAE,MAAMA,EAAE,MAAM2B,EAAE1B,EAAE,MAAM2B,EAAE,EAAE,KAAK,EAAEW,EAAE3C,EAAE,eAAe,CAACiC,EAAE,MAAM,EAAE,QAAQA,CAAC,EAAEW,EAAE5C,EAAE,eAAe,CAAC0C,EAAE,MAAM,EAAEtC,EAAE,MAAMsC,CAAC,EAAE,MAAM,CAACC,EAAEC,CAAC,CAAC,CAAC,IAAImlF,GAAG,CAAC,WAAW3lE,GAAG,YAAY,MAAM,WAAW0lE,EAAE,EAAE,SAASE,GAAGloF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,EAAE,OAAO,EAAE,aAAa,EAAE,oBAAoB0B,CAAC,EAAE,EAAE,CAAC,kBAAkBC,CAAC,EAAE5B,EAAE6B,EAAEjC,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAOqC,EAAE1C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO2C,EAAE3C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO4C,EAAEb,EAAE,IAAI,GAAG/B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,EAAE6C,EAAEd,EAAE,IAAI,GAAG,EAAE,KAAK,EAAE,CAACe,EAAEkB,CAAC,EAAEsvE,GAAGrxE,EAAE5B,EAAE,MAAMqC,EAAE,EAAE,MAAM,EAAE,MAAMC,EAAE,EAAE,MAAMC,EAAEC,EAAEb,CAAC,EAAE,OAAOhC,EAAE,eAAe8C,EAAE,EAAE,MAAMkB,CAAC,CAAC,CAAC,IAAIikF,GAAG,CAAC,WAAW5lE,GAAG,YAAY,MAAM,WAAW2lE,EAAE,EAAE,SAASE,GAAGpoF,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,MAAMM,EAAE,KAAKC,EAAE,MAAM,EAAE,KAAK,CAAC,EAAEL,EAAE+B,EAAEwxE,GAAGnzE,EAAEC,EAAE,EAAE,CAAC,EAAE,OAAO,EAAE,eAAe,CAAC0B,EAAE,MAAM,EAAE,EAAEA,CAAC,CAAC,CAAC,IAAIomF,GAAG,CAAC,WAAW7lE,GAAG,YAAY,MAAM,WAAW4lE,EAAE,EAAME,GAAGvS,GAAGrzD,GAAG1iB,GAAG,EAAEA,CAAC,EAAEuoF,GAAG,CAAC,WAAW7lE,GAAG,YAAY,MAAM,WAAW4lE,EAAE,EAAE,SAASE,GAAGxoF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,CAAC,EAAE,EAAE,CAAC,aAAa,EAAE,iBAAiB,EAAE,KAAK0B,CAAC,EAAE3B,EAAEmxE,GAAGlxE,EAAE,gBAAgB,EAAE,IAAI2B,EAAE4kB,EAAE,eAAevmB,EAAE,KAAK,EAAE,CAAC4B,EAAES,CAAC,EAAEX,EAAE,CAACY,EAAEC,EAAEC,EAAEC,CAAC,EAAEzC,EAAE,MAAM2D,EAAEhE,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO,EAAE,IAAI,aAAaumB,EAAE,cAAc,CAACjkB,EAAEV,EAAES,EAAEI,CAAC,CAAC,CAAC,EAAEuE,EAAE,CAAC,GAAGpF,EAAE,EAAEW,EAAE,EAAEA,EAAE,GAAGF,EAAE,EAAEG,EAAE,EAAEA,CAAC,EAAEgC,EAAE,CAAC,GAAG5C,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGS,EAAE,EAAEA,EAAE,EAAEA,CAAC,EAAE+B,EAAE,EAAEC,EAAE2C,EAAE,GAAGxC,EAAE,GAAGF,EAAE0C,EAAE,GAAGxC,EAAE,GAAG,QAAQD,EAAE,EAAEA,EAAEjC,EAAEiC,IAAI,QAAQ0C,EAAE,EAAEA,EAAErF,EAAEqF,IAAI,CAAC,IAAIxC,EAAE,EAAEA,EAAEJ,GAAG4C,EAAE,IAAI,GAAGxC,EAAEJ,EAAE4C,EAAE,IAAIC,EAAE,KAAK,IAAI,EAAE,KAAK,MAAMzC,CAAC,CAAC,EAAEC,EAAED,EAAEyC,EAAEvC,EAAE,KAAK,IAAIpC,EAAE,EAAE,KAAK,KAAKkC,CAAC,CAAC,EAAEG,EAAEL,EAAE5C,EAAE,GAAGuF,EAAEvF,EAAE,GAAGkD,EAAEN,EAAE5C,EAAE,GAAGgD,EAAEhD,EAAE,GAAG,QAAQmD,EAAE,EAAEA,EAAEzC,EAAEyC,IAAI,CAAC,IAAIC,EAAE,EAAEA,EAAET,GAAGQ,EAAE,IAAI,GAAGC,EAAET,EAAEQ,EAAE,IAAI4C,EAAE,KAAK,IAAI,EAAE,KAAK,MAAM3C,CAAC,CAAC,EAAEqC,EAAErC,EAAE2C,EAAEC,EAAE,KAAK,IAAInF,EAAE,EAAE,KAAK,KAAKuC,CAAC,CAAC,EAAE6C,EAAGhD,EAAE8C,EAAE/F,EAAE,GAAGkG,EAAGhD,EAAE6C,EAAE/F,EAAE,GAAGmG,GAAGlD,EAAE+C,EAAEhG,EAAE,GAAGoG,GAAGlD,EAAE8C,EAAEhG,EAAE,GAAG,QAAQqG,GAAG,EAAEA,GAAGvF,EAAEuF,KAAK,CAAC,IAAI5B,GAAGzC,EAAEiE,EAAGI,IAAIE,GAAGvE,EAAEkE,EAAGG,IAAIG,GAAGxE,EAAEmE,GAAGE,IAAII,GAAGzE,EAAEoE,GAAGC,IAAIK,GAAGjC,IAAI+B,GAAG/B,IAAIgB,EAAEkB,GAAGJ,IAAIE,GAAGF,IAAId,EAAEmB,GAAGF,IAAIC,GAAGD,IAAI3D,EAAE,EAAEN,KAAKmE,EAAE,CAAC,CAAC,CAAC,OAAO5I,EAAE,eAAe,CAAC2C,EAAEV,EAAES,EAAEI,CAAC,EAAE,UAAU,CAAC,CAAC,CAAC,IAAIylF,GAAG,CAAC,WAAW1lE,GAAG,YAAY,MAAM,WAAWylE,EAAE,EAAE,SAASE,GAAG1oF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,aAAa,CAAC,EAAED,EAAEmxE,GAAG,CAAC,EAAElxE,CAAC,EAAE,oBAAoB,EAAE,IAAI0B,EAAE6kB,EAAE,eAAevmB,EAAE,KAAK,EAAE,CAAC2B,EAAEC,EAAES,EAAEC,CAAC,EAAEtC,EAAE,MAAM,CAAC,CAACuC,EAAEC,CAAC,EAAE,EAAE,MAAMC,EAAE,IAAI,aAAad,EAAEC,EAAES,EAAEC,CAAC,EAAEqB,EAAE,CAAC,GAAGpB,EAAE,EAAEX,EAAE,EAAEA,EAAE,GAAGY,EAAE,EAAEH,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC,GAAGE,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGC,EAAE,EAAEA,EAAE,EAAEA,CAAC,EAAEwE,EAAErD,EAAE,GAAG,EAAE,GAAGa,EAAEb,EAAE,GAAG,EAAE,GAAGS,EAAEzE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO0E,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE3C,EAAE2C,IAAI,CAAC,IAAIC,EAAED,EAAE5C,EAAE,GAAG,QAAQuF,EAAE,EAAEA,EAAE1E,EAAE0E,IAAI,CAAC,IAAIxC,EAAEwC,EAAED,EAAEE,EAAE,KAAK,MAAMzC,CAAC,EAAEC,EAAE,KAAK,IAAI,KAAK,KAAKD,CAAC,EAAE7C,EAAE,CAAC,EAAE+C,EAAEJ,EAAE2C,EAAExF,EAAE,GAAGkD,EAAEL,EAAEG,EAAEhD,EAAE,GAAGmD,EAAEJ,EAAEyC,EAAEpC,EAAE,EAAED,EAAE,QAAQE,EAAE,EAAEA,EAAEvC,EAAEuC,IAAI,CAAC,IAAI2C,EAAE3C,EAAEP,EAAE4C,EAAE,KAAK,MAAMM,CAAC,EAAEC,EAAE,KAAK,IAAI,KAAK,KAAKD,CAAC,EAAErF,EAAE,CAAC,EAAEuF,EAAGF,EAAEN,EAAES,EAAG,EAAED,EAAGE,GAAGnD,EAAEyC,EAAE1F,EAAE,GAAGqG,GAAGpD,EAAEgD,EAAEjG,EAAE,GAAGsG,GAAGpD,EAAEwC,EAAE1F,EAAE,GAAG0E,GAAGxB,EAAE+C,EAAEjG,EAAE,GAAGwG,GAAGpD,EAAE+C,EAAGM,GAAGrD,EAAE8C,EAAGQ,GAAGvD,EAAEgD,EAAGQ,GAAGxD,EAAE+C,EAAG,QAAQU,GAAG,EAAEA,GAAGhG,EAAEgG,KAAK,CAAC,IAAIC,GAAGnE,EAAEC,KAAK5B,EAAEqF,GAAGQ,KAAKC,GAAGL,GAAGzF,EAAEsF,GAAGO,KAAKC,GAAGJ,GAAG1F,EAAEuF,GAAGM,KAAKC,GAAGH,GAAG3F,EAAE2D,GAAGkC,KAAKC,GAAGF,EAAE,CAAC,CAAC,CAAC,CAAC,OAAO1I,EAAE,eAAe,CAACgC,EAAEU,EAAET,EAAEU,CAAC,EAAE,UAAUG,CAAC,CAAC,CAAC,IAAI2lF,GAAG,CAAC,WAAW3lE,GAAG,YAAY,MAAM,WAAW0lE,EAAE,EAAE,SAASE,GAAG5oF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,CAAC,EAAE,EAAE,CAAC,aAAa,EAAE,iBAAiB,EAAE,KAAK0B,CAAC,EAAE3B,EAAEmxE,GAAGlxE,EAAE,uBAAuB,EAAE,IAAI2B,EAAE4kB,EAAE,eAAevmB,EAAE,KAAK,EAAE,CAAC4B,EAAES,CAAC,EAAEX,EAAE,CAACY,EAAEC,EAAEC,EAAEC,CAAC,EAAEzC,EAAE,MAAM2D,EAAEhE,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO,EAAE,IAAI,aAAasC,EAAEV,EAAES,EAAEI,CAAC,EAAEuE,EAAE,CAAC,GAAGpF,EAAE,EAAEW,EAAE,EAAEA,EAAE,GAAGF,EAAE,EAAEG,EAAE,EAAEA,CAAC,EAAEgC,EAAE,CAAC,GAAG5C,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGS,EAAE,EAAEA,EAAE,EAAEA,CAAC,EAAE+B,EAAE4C,EAAE,GAAGxC,EAAE,GAAGH,EAAE2C,EAAE,GAAGxC,EAAE,GAAGF,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAEjC,EAAEiC,IAAI,CAAC,IAAI0C,EAAE1C,EAAE5C,EAAE,GAAG,QAAQ8C,EAAE,EAAEA,EAAE7C,EAAE6C,IAAI,CAAC,IAAIyC,EAAE,EAAE9C,GAAGK,EAAE,IAAIL,EAAEK,EAAEC,EAAE,KAAK,IAAInC,EAAE,EAAE,EAAE,KAAK,MAAM2E,CAAC,EAAE,KAAK,MAAMA,CAAC,CAAC,EAAE,IAAIxC,EAAE,KAAK,IAAI,EAAEA,CAAC,GAAG,IAAIC,EAAEsC,EAAEvC,EAAE/C,EAAE,GAAG,QAAQiD,EAAE,EAAEA,EAAEvC,EAAEuC,IAAI,CAAC,IAAIC,EAAE,EAAER,GAAGO,EAAE,IAAIP,EAAEO,EAAEE,EAAE,KAAK,IAAItC,EAAE,EAAE,EAAE,KAAK,MAAMqC,CAAC,EAAE,KAAK,MAAMA,CAAC,CAAC,EAAE,IAAIC,EAAE,KAAK,IAAI,EAAEA,CAAC,GAAG,IAAIC,EAAEJ,EAAEG,EAAEnD,EAAE,GAAG,QAAQ+F,EAAE,EAAEA,EAAEjF,EAAEiF,IAAI,CAAC,IAAIN,EAAEzD,EAAEoB,EAAE2C,GAAG,EAAEpD,KAAK8C,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOzH,EAAE,eAAe,CAAC2C,EAAEV,EAAES,EAAEI,CAAC,EAAEzC,EAAE,MAAM,CAAC,CAAC,CAAC,IAAIsoF,GAAG,CAAC,WAAWhmE,GAAG,YAAY,MAAM,WAAW+lE,EAAE,EAAE,SAASE,GAAG9oF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,aAAa,CAAC,EAAED,EAAEmxE,GAAG,CAAC,EAAElxE,CAAC,EAAE,2BAA2B,EAAE,IAAI0B,EAAE6kB,EAAE,eAAevmB,EAAE,KAAK,EAAE2B,EAAE4kB,EAAE,eAAe,EAAE,KAAK,EAAE,CAAC3kB,EAAES,EAAEC,EAAEC,CAAC,EAAEvC,EAAE,MAAM,CAAC,CAACwC,EAAEC,CAAC,EAAE,EAAE,MAAMkB,EAAE,IAAI,aAAa/B,EAAES,EAAEC,EAAEC,CAAC,EAAE,EAAE5C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOqH,EAAE,CAAC,GAAGxE,EAAE,EAAEH,EAAE,EAAEA,EAAE,GAAGI,EAAE,EAAEH,EAAE,EAAEA,CAAC,EAAEkC,EAAE,CAAC,GAAGhC,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGC,EAAE,EAAEA,EAAE,EAAEA,CAAC,EAAE2B,EAAE4C,EAAE,GAAGxC,EAAE,GAAGH,EAAE2C,EAAE,GAAGxC,EAAE,GAAGF,EAAE,EAAEF,EAAEG,EAAE,EAAEF,EAAE4C,EAAE,KAAK,KAAK3C,CAAC,EAAE,EAAE,EAAEG,EAAE,KAAK,KAAKF,CAAC,EAAE,EAAE,EAAE,QAAQ2C,EAAE,EAAEA,EAAEtF,EAAEsF,IAAI,CAAC,IAAIxC,EAAEwC,EAAExF,EAAE,GAAG,QAAQiD,EAAE,EAAEA,EAAEtC,EAAEsC,IAAI,CAAC,IAAIC,EAAEF,EAAEC,EAAEjD,EAAE,GAAGmD,EAAE,KAAK,MAAMF,EAAEL,CAAC,EAAEQ,EAAE,KAAK,MAAMD,EAAEoC,EAAE,CAAC,EAAE,QAAQlC,EAAE,EAAEA,EAAEzC,EAAEyC,IAAI,CAAC,IAAI2C,EAAE9C,EAAEG,EAAErD,EAAE,GAAG0F,EAAE,KAAK,MAAMrC,EAAER,CAAC,EAAEoD,EAAE,KAAK,MAAMP,EAAE3C,EAAE,CAAC,EAAE,QAAQmD,EAAG,EAAEA,EAAGrF,EAAEqF,IAAK,CAAC,IAAIC,EAAG,EAAE,QAAQC,GAAG,EAAEA,GAAGb,EAAEa,KAAK,CAAC,IAAIC,GAAGD,GAAGhD,EAAE,GAAGiD,GAAG,GAAGA,IAAIvF,EAAE,SAAS,IAAIwF,GAAGtD,EAAEqD,GAAGpG,EAAE,GAAGyE,GAAG2B,GAAG3D,EAAE8D,GAAG,KAAK,IAAI7F,EAAE,EAAE,EAAE,KAAK,MAAM+D,EAAE,EAAE,KAAK,MAAMA,EAAE,CAAC,EAAE,GAAGzB,IAAIuD,GAAG,QAAQC,GAAG,EAAEA,GAAG1D,EAAE0D,KAAK,CAAC,IAAIC,GAAGD,GAAGR,EAAE,GAAGS,GAAG,GAAGA,IAAI3F,EAAE,SAAS,IAAI4F,GAAGL,GAAGI,GAAGzG,EAAE,GAAG2G,GAAGF,GAAG/D,EAAEkE,GAAG,KAAK,IAAIjG,EAAE,EAAE,EAAE,KAAK,MAAMgG,EAAE,EAAE,KAAK,MAAMA,EAAE,CAAC,EAAEvD,IAAIwD,KAAKV,GAAI,EAAEQ,GAAGT,GAAI,CAAC,CAACjE,EAAE+D,EAAEE,GAAIC,CAAE,CAAC,CAAC,CAAC,CAAC,OAAOlI,EAAE,eAAeK,EAAE,MAAMA,EAAE,MAAM2D,CAAC,CAAC,CAAC,IAAI6kF,GAAG,CAAC,WAAWjmE,GAAG,YAAY,MAAM,WAAWgmE,EAAE,EAAE,SAASE,GAAGhpF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAEmxE,GAAGlxE,EAAE,SAAS,EAAE,IAAI,EAAEA,EAAE,MAAM,OAAO0B,EAAE6kB,EAAE,eAAe,EAAEvmB,EAAE,KAAK,EAAE,GAAG,IAAI,EAAE,OAAO40E,GAAG,CAAC,OAAO,CAAC,EAAE50E,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,IAAIgC,EAAE,IAAIonB,GAAG/oB,EAAE,MAAMA,EAAE,KAAK,EAAE4B,EAAEjC,EAAE,WAAWK,CAAC,EAAE,QAAQqC,EAAE,EAAEA,EAAEV,EAAE,KAAKU,IAAI,CAAC,IAAIC,EAAEX,EAAE,WAAWU,CAAC,EAAEE,EAAED,EAAE,MAAM,EAAEZ,EAAE,QAAQc,GAAGD,EAAEC,GAAGxC,EAAE,MAAMwC,GAAG,EAAED,EAAEC,EAAE,EAAEb,EAAE,IAAIC,EAAE,IAAI,GAAGW,CAAC,EAAE,GAAGD,CAAC,CAAC,CAAC,OAAO3C,EAAE,eAAegC,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAI+mF,GAAG,CAAC,WAAW/lE,GAAG,YAAY,MAAM,WAAW8lE,EAAE,EAAME,GAAG,CAAC,WAAWrjE,GAAG,YAAY,MAAM,WAAW,CAAC,CAAC,OAAO7lB,EAAE,MAAM,EAAE,QAAQE,CAAC,IAAI,CAAC,GAAG,CAAC,MAAMI,CAAC,EAAEN,EAAE,CAAC,QAAQO,EAAE,UAAU,EAAE,OAAO,CAAC,EAAE,EAAE0B,EAAE/B,EAAEgC,EAAE4kB,EAAE,uBAAuBxmB,EAAE,MAAMwmB,EAAE,cAAcxmB,EAAE,KAAK,CAAC,EAAE,CAAC6B,EAAES,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAM,CAACyC,EAAEC,CAAC,EAAEw3C,EAAE,eAAe,EAAE53C,EAAEC,CAAC,EAAEqB,EAAE,IAAI,EAAE,KAAK,IAAI3D,CAAC,EAAEgH,EAAE,KAAK,IAAIhH,CAAC,EAAEwE,EAAE9C,EAAE,KAAK,IAAI3B,EAAE,MAAM,EAAE,OAAO,QAAQsE,EAAE,EAAEA,EAAEzC,EAAEyC,IAAI,CAAC,IAAIC,EAAED,EAAE/B,EAAED,EAAEE,EAAE,QAAQgC,EAAE,EAAEA,EAAElC,EAAEkC,IAAI,CAAC,IAAI0C,EAAE1C,GAAGjC,EAAEC,GAAG,QAAQkC,EAAE,EAAEA,EAAEnC,EAAEmC,IAAI,CAAC,IAAIyC,EAAEzC,EAAElC,EAAE,QAAQmC,EAAE,EAAEA,EAAEnC,EAAEmC,IAAI,CAAC,IAAIC,EAAE,CAAC/C,EAAE2C,EAAEE,EAAEC,CAAC,EAAEE,EAAED,EAAE,GAAGE,EAAEF,EAAE,GAAGG,GAAGF,EAAEpC,GAAGwE,GAAGnC,EAAEpC,GAAG,EAAEsC,GAAGH,EAAEpC,GAAG,GAAGqC,EAAEpC,GAAGuE,EAAElC,EAAE,KAAK,MAAMA,EAAEtC,CAAC,EAAEuC,EAAE,KAAK,MAAMA,EAAEtC,CAAC,EAAE,IAAIiF,EAAE,EAAE,GAAG,OAAO,GAAG,WAAWhD,IAAI,EAAEgD,EAAE/D,EAAE+D,EAAE,EAAEhD,IAAII,GAAG,GAAGA,EAAExC,GAAGyC,GAAG,GAAGA,EAAE1C,EAAE,CAAC,IAAIsF,EAAE5C,GAAGzC,EAAEC,GAAGqF,EAAG9C,EAAEvC,EAAEsF,EAAGvD,EAAEqD,EAAEC,EAAGlD,EAAEgD,EAAElD,EAAEqD,EAAG,CAAC,IAAIT,EAAE9C,EAAE2C,EAAEC,EAAExC,EAAE/C,EAAEyF,GAAGM,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,OAAOhG,EAAE,MAAMC,EAAE5B,EAAE,MAAMA,EAAE,KAAK,EAAE,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,EAAM6oF,GAAGpT,GAAG5yD,GAAGnjB,GAAG,CAAC,IAAI,EAAE,KAAK,MAAMA,CAAC,EAAE,OAAOA,EAAE,EAAE,GAAG,KAAK,MAAMA,CAAC,EAAEA,EAAE,EAAE,GAAG,KAAK,KAAKA,CAAC,EAAE,EAAE,IAAI,EAAE,EAAE,EAAE,CAAC,CAAC,EAAEopF,GAAG,CAAC,WAAWjmE,GAAG,YAAY,MAAM,WAAWgmE,EAAE,EAAE,SAASE,GAAGrpF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,QAAQO,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE,CAAC,UAAU2B,EAAE,WAAWC,EAAE,UAAUC,EAAE,QAAQS,EAAE,WAAWC,CAAC,EAAE23C,EAAE,gBAAgB,EAAEj6C,EAAE,CAAC,EAAEuC,EAAE,GAAGC,EAAE7C,EAAE,WAAWK,CAAC,EAAEyC,EAAE9C,EAAE,WAAW,CAAC,EAAEgE,EAAEyvE,GAAG5wE,EAAEC,EAAE,EAAEH,EAAEV,EAAED,EAAED,EAAEW,EAAE,EAAEE,CAAC,EAAE,OAAO5C,EAAE,eAAe,EAAEgE,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIolF,GAAG,CAAC,WAAWjmE,GAAG,YAAY,MAAM,WAAWgmE,EAAE,EAAE,SAASE,GAAGvpF,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAEI,EAAEN,EAAE,OAAOO,EAAE,EAAE,KAAKL,EAAEI,GAAGC,EAAE,KAAK,OAAOL,EAAEI,GAAG,CAAC,EAAEN,EAAEO,GAAG,EAAEL,EAAEK,EAAE,EAAED,EAAEC,EAAE,OAAOD,CAAC,CAAC,SAASkpF,GAAGxpF,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAEI,EAAEN,EAAE,OAAOO,EAAE,EAAE,KAAKL,EAAEI,GAAGC,EAAE,KAAK,OAAOL,EAAEI,GAAG,CAAC,EAAEN,EAAEO,IAAI,EAAEL,EAAEK,EAAE,EAAED,EAAEC,EAAE,OAAOD,CAAC,CAAC,SAASmpF,GAAGzpF,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEumB,EAAE,kBAAkB,QAAQ5mB,EAAEK,CAAC,EAAE,QAAQ0B,EAAE,EAAEA,EAAE/B,EAAE,EAAE+B,EAAE,CAAC,IAAIC,EAAElC,EAAE,MAAMiC,EAAE3B,GAAG2B,EAAE,GAAG3B,CAAC,EAAE6B,EAAEF,EAAE1B,EAAE,QAAQqC,EAAE,EAAEA,EAAErC,EAAE,EAAEqC,EAAE,EAAET,EAAES,GAAG,IAAI,OAAO2mF,GAAGrnF,EAAE,EAAEU,EAAET,EAAE,EAAEqnF,GAAGtnF,EAAE,EAAEU,EAAET,EAAE,CAAC,CAAC,OAAO,CAAC,CAAC,SAASunF,GAAG1pF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,eAAeO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE2B,EAAE/B,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO2B,EAAEhC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOiC,EAAEsnF,GAAGxnF,EAAEC,EAAE3B,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,CAAC,EAAE,OAAOL,EAAE,eAAe,EAAE,MAAM,QAAQiC,CAAC,CAAC,CAAC,IAAIwnF,GAAG,CAAC,WAAWrmE,GAAG,YAAY,MAAM,WAAWomE,EAAE,EAAE,SAASE,GAAG5pF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,UAAUM,EAAE,EAAEC,EAAE,EAAE,CAAC,EAAE,EAAEkxE,GAAG,CAACnxE,EAAEC,EAAE,CAAC,EAAE,QAAQ,EAAE,IAAI,EAAED,EAAE,MAAM,OAAO2B,EAAE/B,EAAE,KAAK,IAAII,EAAE,MAAM,EAAE,OAAO4B,EAAEhC,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO4B,EAAEjC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO0C,EAAE+nB,GAAGpqB,EAAE,MAAM,EAAE,KAAK,EAAEsC,EAAEikB,EAAE,oBAAoBA,EAAE,cAAcvmB,EAAE,KAAK,EAAEqC,CAAC,EAAEE,EAAE,EAAEC,EAAE,IAAI,GAAG,EAAE,GAAGxC,EAAE,MAAM,SAAS,EAAE,EAAEumB,EAAE,cAAcvmB,EAAE,MAAM,MAAM,CAAC,CAAC,EAAE,QAAQyC,EAAE,EAAEA,EAAEf,EAAE,OAAOe,IAAI,QAAQkB,EAAE,EAAEA,EAAEnB,EAAEmB,IAAIjC,EAAEe,KAAK,EAAEH,EAAEC,KAAKZ,EAAEc,GAAGH,EAAEC,KAAKX,EAAEa,GAAG,OAAO9C,EAAE,eAAeK,EAAE,MAAMqC,EAAEC,CAAC,CAAC,CAAC,IAAIgnF,GAAG,CAAC,WAAWtmE,GAAG,YAAY,MAAM,WAAWqmE,EAAE,EAAME,GAAGtvC,EAAE,gBAAgBuvC,GAAGvvC,EAAE,WAAWwvC,GAAGjU,GAAGvyD,GAAGxjB,GAAGA,GAAG,EAAE+pF,GAAG/pF,EAAE8pF,IAAI,KAAK,IAAI9pF,CAAC,EAAE,EAAE,EAAEiqF,GAAG,CAAC,WAAWzmE,GAAG,YAAY,MAAM,WAAWwmE,EAAE,EAAME,GAAGnU,GAAGnyD,GAAG5jB,GAAGA,EAAE,EAAE,GAAGA,EAAE,EAAE,EAAE,CAAC,EAAEmqF,GAAG,CAAC,WAAWvmE,GAAG,YAAY,MAAM,WAAWsmE,EAAE,EAAME,GAAGrU,GAAGryD,GAAG1jB,GAAG,KAAK,IAAIA,CAAC,CAAC,EAAEqqF,GAAG,CAAC,WAAW3mE,GAAG,YAAY,MAAM,WAAW0mE,EAAE,EAAME,GAAGvU,GAAGpyD,GAAG3jB,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAEuqF,GAAG,CAAC,WAAW5mE,GAAG,YAAY,MAAM,WAAW2mE,EAAE,EAAME,GAAG,sBAAsBC,GAAG,KAAK,IAAID,EAAE,EAAE,EAAEE,GAAG3U,GAAGjyD,GAAG9jB,GAAG,CAAC,IAAI,EAAEA,EAAE,CAACyqF,GAAGvqF,EAAEF,EAAEyqF,GAAGnqF,EAAE,KAAK,IAAIN,CAAC,EAAEO,EAAE,OAAOL,EAAEK,EAAED,EAAE,EAAEC,EAAEP,EAAEO,EAAE,KAAK,IAAI,EAAED,CAAC,EAAEC,CAAC,CAAC,EAAEoqF,GAAG,CAAC,WAAW7mE,GAAG,YAAY,MAAM,WAAW4mE,EAAE,EAAE,SAASE,GAAG5qF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,SAAS,CAAC,EAAED,EAAEmxE,GAAG,CAAClxE,CAAC,EAAE,gBAAgB,EAAE,IAAI0B,EAAE6kB,EAAE,cAAc,CAAC,EAAE5kB,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAEA,EAAE,KAAK,GAAG,CAAC,EAAE,QAAQ4C,EAAE,EAAE,EAAE,OAAOA,EAAEvE,EAAE,MAAM,OAAO,EAAEuE,EAAE5C,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,EAAE,IAAIC,EAAEulF,GAAG,WAAW,CAAC,OAAO,CAAC,EAAEnnF,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,SAASgC,EAAE,cAAc,CAAC,CAAC,CAAC,EAAEU,EAAE43C,EAAE,YAAYr4C,EAAE,MAAM,EAAEF,EAAE,EAAE,EAAEY,EAAE23C,EAAE,YAAY53C,EAAE,OAAO,EAAE,OAAO,EAAE,EAAEE,EAAE03C,EAAE,oBAAoBr4C,EAAE,MAAM,EAAEF,EAAE,EAAE,EAAE,EAAE44E,GAAG,CAAC,OAAO,CAAC,EAAE14E,CAAC,EAAE,QAAQjC,EAAE,MAAM,CAAC,MAAM0C,CAAC,CAAC,CAAC,EAAEmC,EAAEizE,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ93E,EAAE,MAAM,CAAC,KAAK2C,CAAC,CAAC,CAAC,EAAEgC,EAAEg2E,GAAG,CAAC,OAAO,CAAC,EAAE91E,CAAC,EAAE,QAAQ7E,EAAE,MAAM,CAAC,MAAM4C,CAAC,CAAC,CAAC,EAAE,OAAO5C,EAAE,8BAA8BiC,CAAC,EAAEjC,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B6E,CAAC,EAAEF,CAAC,CAAC,IAAIgmF,GAAG,CAAC,WAAW5mE,GAAG,YAAY,MAAM,WAAW2mE,EAAE,EAAE,SAASE,GAAG9qF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,QAAQM,EAAE,OAAOC,EAAE,WAAW,EAAE,aAAa,CAAC,EAAE,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACj7uG,EAAE,OAAO,EAAE,GAAGD,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACjDA,EAAE,OAAO,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACjDA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACjD,EAAE,OAAO,EAAE,IAAI0B,EAAE/B,EAAE,KAAK,IAAII,EAAE,MAAM,EAAE,OAAO4B,EAAEhC,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO4B,EAAEjC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO0C,EAAE1C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,GAAG,CAAC2C,EAAEC,EAAEC,EAAEC,EAAEkB,CAAC,EAAE6vE,GAAG9xE,EAAE3B,EAAE,MAAMA,EAAE,MAAM4B,EAAE3B,EAAE,MAAM4B,EAAES,CAAC,EAAE,MAAM,CAAC1C,EAAE,eAAe4C,EAAExC,EAAE,MAAMuC,CAAC,EAAE3C,EAAE,eAAe,CAAC4C,EAAE,EAAE,EAAEvC,EAAE,MAAMwC,CAAC,EAAE7C,EAAE,eAAe,CAAC8C,EAAE,MAAM,EAAE,OAAO,IAAI,WAAWA,EAAE,IAAI,GAAG,OAAO,CAAC,CAAC,CAAC,CAAC,EAAE9C,EAAE,eAAe,CAACgE,EAAE,MAAM,EAAE5D,EAAE,MAAM,IAAI,WAAW4D,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI6mF,GAAG,CAAC,WAAW3mE,GAAG,YAAY,MAAM,WAAW0mE,EAAE,EAAE,SAASE,GAAGhrF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,aAAaM,EAAE,WAAWC,EAAE,SAAS,CAAC,EAAE,EAAE,GAAGD,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACnjBA,EAAE,OAAO,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACjDA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,sDAAsD,EAAE,OAAO,EAAE,IAAI,EAAE,MAAM,KAAKL,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,MAAM,EAAE0B,EAAE/B,EAAE,KAAK,IAAII,EAAE,MAAM,EAAE,OAAO4B,EAAE,MAAM,KAAKhC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,EAAE,CAACiC,EAAES,EAAEC,CAAC,EAAEmxE,GAAG/xE,EAAE3B,EAAE,MAAMA,EAAE,MAAM,EAAE4B,CAAC,EAAE,MAAM,CAAChC,EAAE,eAAe0C,EAAEtC,EAAE,MAAM6B,CAAC,EAAEjC,EAAE,eAAe,CAAC2C,EAAE,MAAM,EAAE,EAAE,MAAM,IAAI,WAAWA,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIooF,GAAG,CAAC,WAAW5mE,GAAG,YAAY,MAAM,WAAW2mE,EAAE,EAAE,SAASE,GAAGlrF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,KAAKM,EAAE,QAAQC,EAAE,WAAW,CAAC,EAAE,EAAE,GAAGD,EAAE,MAAM,OAAO,EAAE,MAAM,IAAI,MAAM,2DAA2D,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,YAC9mBA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,YACjD,EAAE,OAAO,EAAE,GAAGA,EAAE,MAAM,KAAK,EAAE,MAAM,GAAG,MAAM,IAAI,MAAM,+CAA+C,EAAE,IAAI,EAAEL,EAAE,KAAK,IAAII,EAAE,MAAM,EAAE,OAAO2B,EAAE/B,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO2B,EAAEhC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAACiC,EAAES,CAAC,EAAEqxE,GAAG,EAAE3zE,EAAE,MAAMA,EAAE,MAAM2B,EAAEC,EAAE,EAAE,EAAE,OAAOhC,EAAE,eAAe0C,EAAEtC,EAAE,MAAM6B,CAAC,CAAC,CAAC,IAAIgpF,GAAG,CAAC,WAAW7mE,GAAG,YAAY,MAAM,WAAW4mE,EAAE,EAAE,SAASE,GAAGprF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,KAAKM,EAAE,QAAQC,EAAE,WAAW,CAAC,EAAE,EAAE,GAAGD,EAAE,MAAM,OAAO,EAAE,MAAM,IAAI,MAAM,2DAA2D,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,WACvhBA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,WACjD,EAAE,OAAO,EAAE,GAAGA,EAAE,MAAM,KAAK,EAAE,MAAM,GAAG,MAAM,IAAI,MAAM,+CAA+C,EAAE,IAAI,EAAEL,EAAE,KAAK,IAAII,EAAE,MAAM,EAAE,OAAO2B,EAAE/B,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO2B,EAAEhC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAACiC,EAAES,CAAC,EAAEqxE,GAAG,EAAE3zE,EAAE,MAAMA,EAAE,MAAM2B,EAAEC,CAAC,EAAE,OAAOhC,EAAE,eAAe0C,EAAEtC,EAAE,MAAM6B,CAAC,CAAC,CAAC,IAAIkpF,GAAG,CAAC,WAAW9mE,GAAG,YAAY,MAAM,WAAW6mE,EAAE,EAAE,SAASE,GAAGtrF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,cAAcO,EAAE,aAAa,EAAE,aAAa,CAAC,EAAE,EAAE,CAAC,YAAY0B,CAAC,EAAE3B,EAAE,CAAC,UAAU4B,EAAE,WAAWC,EAAE,UAAUS,EAAE,QAAQC,EAAE,WAAWC,CAAC,EAAE03C,EAAE,gBAAgB,EAAEj6C,EAAE0B,CAAC,EAAEc,EAAE,GAAGC,EAAE9C,EAAE,WAAWK,CAAC,EAAE2D,EAAE,OAAO,EAAE,MAAM,CAAC,IAAI,OAAO,CAAC,IAAI,EAAEhE,EAAE,WAAW,CAAC,EAAEqH,EAAE,QAAQrH,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,EAAE,EAAEgE,EAAEyvE,GAAG3wE,EAAE,EAAEf,EAAEa,EAAEF,EAAET,EAAED,EAAEW,EAAE0E,EAAExE,CAAC,EAAE,KAAK,CAAC,IAAI,UAAU,CAAC,IAAI,EAAE7C,EAAE,WAAW,CAAC,EAAEqH,EAAErH,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,GAAGgE,EAAEyvE,GAAG3wE,EAAE,EAAEf,EAAEa,EAAEF,EAAET,EAAED,EAAEW,EAAE0E,EAAExE,CAAC,EAAE,KAAK,CAAC,IAAI,QAAQ,CAAC,IAAI,EAAE7C,EAAE,WAAW,CAAC,EAAEqH,EAAErH,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,GAAGgE,EAAEyvE,GAAG3wE,EAAE,EAAEf,EAAEa,EAAEF,EAAET,EAAED,EAAEW,EAAE0E,EAAExE,CAAC,EAAE,KAAK,CAAC,IAAI,SAAS,CAAC,IAAI,EAAE7C,EAAE,WAAW,CAAC,EAAEqH,EAAEuf,EAAE,aAAa5mB,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,EAAE,EAAEgE,EAAEyvE,GAAG3wE,EAAE,EAAEf,EAAEa,EAAEF,EAAET,EAAED,EAAEW,EAAE0E,EAAExE,CAAC,EAAE,KAAK,CAAC,QAAQ,MAAM,IAAI,MAAM,oBAAoB,EAAE,OAAO,CAAC,CAAC,OAAO7C,EAAE,eAAe+B,EAAEiC,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIqnF,GAAG,CAAC,WAAW/mE,GAAG,YAAY,MAAM,WAAW8mE,EAAE,EAAE,SAASE,GAAGxrF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,gBAAgB,EAAE,KAAK,CAAC,EAAED,EAAE2B,EAAE6kB,EAAE,eAAe,EAAEvmB,EAAE,KAAK,EAAE,GAAG2B,EAAEs4C,EAAE,iBAAiBj6C,EAAE,EAAE0B,CAAC,EAAEE,EAAE,IAAI,MAAM5B,EAAE,MAAM,MAAM,EAAE,KAAK,CAAC,EAAEqC,EAAErC,EAAE,MAAM,MAAM,EAAE,OAAO2B,EAAE,IAAIW,GAAG,CAAC,IAAIC,EAAE,CAAC,GAAGF,CAAC,EAAEE,EAAEb,GAAGY,EAAE,IAAIE,EAAEq2E,GAAG,CAAC,OAAO,CAAC,EAAE74E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAMiC,EAAE,KAAKW,CAAC,CAAC,CAAC,EAAE,OAAOX,EAAEF,IAAIY,EAAEE,CAAC,CAAC,CAAC,CAAC,IAAI0oF,GAAG,CAAC,WAAWvnE,GAAG,YAAY,MAAM,WAAWsnE,EAAE,EAAME,GAAG,CAAC,WAAWhnE,GAAG,YAAY,MAAM,WAAW,CAAC,CAAC,OAAO1kB,EAAE,QAAQ,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEE,CAAC,EAAEF,EAAEM,EAAE,EAAEmxE,GAAGvxE,EAAE,QAAQ,EAAE,IAAIK,EAAED,EAAE,KAAK,IAAIJ,EAAE,MAAM,EAAE,OAAO,EAAE,IAAI,aAAaK,EAAE,MAAM,EAAE,QAAQ0B,EAAE,EAAEA,EAAE1B,EAAE,OAAO,EAAE0B,EAAE,CAAC,IAAIC,EAAE3B,EAAE0B,GAAG,EAAEA,GAAGC,EAAEA,CAAC,CAAC,MAAM,CAAC,OAAO5B,EAAE,MAAM,EAAEJ,EAAE,MAAMA,EAAE,KAAK,EAAE,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,EAAMyrF,GAAG5V,GAAGpwD,GAAG,CAAC3lB,EAAE,IAAI,CAAC,IAAIE,EAAE,EAAE,OAAO,MAAMF,CAAC,EAAE,IAAIA,EAAE,EAAE,EAAEE,EAAE,KAAK,CAAC,EAAE0rF,GAAG,CAAC,WAAWjmE,GAAG,YAAY,MAAM,WAAWgmE,EAAE,EAAE,SAASE,GAAG7rF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,QAAQ0B,EAAE,UAAUC,EAAE,QAAQC,EAAE,aAAaS,EAAE,YAAYC,EAAE,eAAeC,CAAC,EAAExC,EAAEmxE,GAAGlxE,EAAE,cAAc,EAAE,GAAG,CAAC,iBAAiBwC,EAAE,WAAWC,EAAE,WAAWkB,EAAE,UAAU,EAAE,cAAcqD,EAAE,MAAMxC,EAAE,IAAIJ,EAAE,QAAQC,CAAC,EAAEwxB,GAAG,UAAU71B,EAAE,MAAM,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAEC,EAAEC,CAAC,EAAE+B,EAAE,GAAGX,EAAEW,EAAEg2E,GAAG,CAAC,OAAO,CAAC,EAAEt6E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM8C,CAAC,CAAC,CAAC,UAAU,GAAGuE,EAAE,CAACuf,EAAE,OAAOvmB,EAAE,MAAM,QAAQ,EAAE,IAAI,yCAAyCA,EAAE,MAAM,QAAQ,EAAE,IAAIuE,EAAEsxB,GAAG,gBAAgBrxB,EAAEJ,EAAEC,CAAC,EAAE4C,EAAE4xE,GAAG,CAAC,OAAO,CAAC,EAAE74E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM6E,EAAE,KAAKD,CAAC,CAAC,CAAC,EAAED,EAAEg2E,GAAG,CAAC,OAAO,CAAC,EAAErzE,CAAC,EAAE,QAAQtH,EAAE,MAAM,CAAC,MAAM8C,CAAC,CAAC,CAAC,EAAE9C,EAAE,8BAA8BsH,CAAC,CAAC,KAAK,CAAC,IAAI1C,EAAE5E,EAAE,WAAWK,CAAC,EAAEiH,EAAE4sE,GAAGrxE,EAAE+B,EAAEF,EAAEG,CAAC,EAAEF,EAAE3E,EAAE,eAAe8C,EAAEwE,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,OAAO3C,CAAC,CAAC,IAAIinF,GAAG,CAAC,WAAWnnE,GAAG,YAAY,MAAM,WAAWknE,EAAE,EAAE,SAASE,GAAG/rF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,UAAUO,EAAE,YAAY,EAAE,QAAQ,EAAE,SAAS0B,EAAE,SAASC,EAAE,uBAAuBC,CAAC,EAAE7B,EAAE,CAAC,KAAKsC,EAAE,WAAWC,CAAC,EAAE,EAAEC,EAAE5C,EAAE,KAAK,IAAI0C,EAAE,MAAM,EAAE,OAAOG,EAAE7C,EAAE,KAAK,IAAI2C,EAAE,MAAM,EAAE,OAAO,CAACG,EAAEkB,CAAC,EAAEmwE,GAAGvxE,EAAEC,EAAExC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,CAAC,EAAE,MAAM,CAACjC,EAAE,eAAe,CAAC8C,EAAE,MAAM,EAAE,SAASA,CAAC,EAAE9C,EAAE,eAAe2C,EAAE,MAAM,QAAQqB,CAAC,CAAC,CAAC,CAAC,IAAI8nF,GAAG,CAAC,WAAWpnE,GAAG,YAAY,MAAM,WAAWmnE,EAAE,EAAE,SAASE,GAAGjsF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,UAAUO,CAAC,EAAED,EAAE,CAAC,MAAM,EAAE,UAAU,CAAC,EAAE,EAAE,GAAG,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,kCAAkC,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,sCAAsC,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,0CAA0C,EAAE,OAAO,EAAE,IAAI2B,EAAE/B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOgC,EAAEhC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,GAAG,CAACiC,EAAES,EAAEC,CAAC,EAAEyxE,GAAGryE,EAAEC,EAAE3B,CAAC,EAAEuC,EAAEF,EAAE,OAAO,MAAM,CAAC1C,EAAE,eAAe,CAAC4C,EAAE,CAAC,EAAE,QAAQX,CAAC,EAAEjC,EAAE,eAAe,CAAC4C,CAAC,EAAE,SAASF,CAAC,EAAE1C,EAAE,eAAe,CAAC,CAAC,EAAE,QAAQ,IAAI,WAAW2C,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIqpF,GAAG,CAAC,WAAWrnE,GAAG,YAAY,MAAM,WAAWonE,EAAE,EAAE,SAASE,GAAGnsF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,WAAWO,CAAC,EAAED,EAAE,CAAC,MAAM,CAAC,EAAE,EAAE,GAAG,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,kCAAkC,EAAE,GAAGC,GAAG,EAAE,MAAM,IAAI,MAAM,sCAAsC,EAAE,IAAI,EAAEL,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO+B,EAAEsyE,GAAG,EAAEh0E,CAAC,EAAE,OAAOL,EAAE,eAAe,EAAE,MAAM,QAAQ+B,CAAC,CAAC,CAAC,IAAImqF,GAAG,CAAC,WAAWtnE,GAAG,YAAY,MAAM,WAAWqnE,EAAE,EAAME,GAAGtW,GAAG/wD,GAAGhlB,GAAG,KAAK,IAAIA,CAAC,CAAC,EAAEssF,GAAG,CAAC,WAAWtnE,GAAG,YAAY,MAAM,WAAWqnE,EAAE,EAAME,GAAGxW,GAAG9wD,GAAGjlB,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAEwsF,GAAG,CAAC,WAAWvnE,GAAG,YAAY,MAAM,WAAWsnE,EAAE,EAAE,SAASE,GAAGzsF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAEmxE,GAAGlxE,EAAE,MAAM,EAAE,IAAI,EAAEk0E,GAAGv0E,EAAE,WAAWK,CAAC,EAAE,CAAC,EAAE,OAAOL,EAAE,eAAe,EAAE,MAAM,EAAE,MAAM,EAAE,MAAM,CAAC,CAAC,IAAIwsF,GAAG,CAAC,WAAWxnE,GAAG,YAAY,MAAM,WAAWunE,EAAE,EAAE,SAASE,GAAG3sF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,OAAO,CAAC,EAAED,EAAEmxE,GAAGlxE,EAAE,MAAM,EAAE,IAAI0B,EAAE/B,EAAE,KAAK,IAAIK,EAAE,MAAM,EAAE,OAAO,CAAC2B,EAAEC,CAAC,EAAEuyE,GAAGzyE,EAAE1B,EAAE,MAAMA,EAAE,MAAM,EAAE,CAAC,EAAE,MAAM,CAACL,EAAE,eAAegC,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,EAAEhC,EAAE,eAAeiC,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,CAAC,IAAIyqF,GAAG,CAAC,WAAWznE,GAAG,YAAY,MAAM,WAAWwnE,EAAE,EAAE,SAASE,GAAG7sF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQI,CAAC,EAAEN,EAAE,CAAC,MAAMO,EAAE,WAAW,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,SAAS0B,EAAE,UAAUC,EAAE,YAAYC,CAAC,EAAEjC,EAAE,CAAC0C,EAAEC,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAM,CAACyC,EAAEkB,CAAC,EAAE/B,GAAG,KAAKA,EAAE,CAACU,EAAEC,CAAC,EAAE,EAAE,CAACF,EAAEI,EAAEkB,EAAEnB,CAAC,EAAEwE,EAAEuf,EAAE,eAAevmB,EAAE,KAAK,EAAEwE,EAAEwC,EAAE,GAAG5C,EAAE4C,EAAE,GAAG3C,EAAE2C,EAAE,GAAG1C,EAAEiiB,EAAE,eAAe,CAAC,EAAEhiB,EAAED,EAAE,GAAG2C,EAAE3C,EAAE,GAAGG,EAAEH,EAAE,GAAG4C,EAAEqf,EAAE,uBAAuBvmB,EAAE,MAAMumB,EAAE,cAAc,CAAC,CAAC,EAAErf,EAAE,KAAKvF,CAAC,EAAE,IAAI+C,EAAE3E,EAAE,KAAK,IAAIC,EAAE,MAAM,EAAE,OAAO2E,EAAE5E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,QAAQ8E,EAAE,EAAEA,EAAExC,EAAE,EAAEwC,EAAE,CAAC,IAAIC,EAAE,EAAE,MAAM,KAAK,EAAEH,EAAEA,EAAE,SAASE,EAAE,EAAEA,EAAE,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEtC,EAAE,EAAEsC,EAAE,QAAQ2C,EAAE,EAAEA,EAAE/D,EAAE,EAAE+D,EAAE,QAAQN,EAAE,EAAEA,EAAE5E,EAAE,EAAE4E,EAAE,CAAC,IAAIO,EAAEC,EAAG9C,EAAE,GAAG4C,EAAE5C,EAAE,GAAGC,EAAE,EAAE,GAAG6C,IAAK,EAAE,SAAS,IAAIC,GAAI/C,EAAE,GAAG4C,EAAE5C,EAAE,GAAGC,EAAED,EAAE,IAAI8C,EAAGE,GAAIhD,EAAE,GAAG4C,EAAE5C,EAAE,GAAGC,EAAED,EAAE,IAAI8C,EAAGG,GAAGwkF,GAAG1kF,EAAGtF,EAAEb,CAAC,EAAEsG,GAAGukF,GAAGzkF,EAAGxF,EAAEZ,CAAC,EAAE,OAAO,EAAE,CAAC,IAAI,UAAUiG,EAAE6kF,GAAG9nF,EAAEpC,EAAEC,EAAEiC,EAAEJ,EAAEC,EAAEQ,EAAEmD,GAAGD,GAAGX,EAAEzF,CAAC,EAAE,MAAM,IAAI,WAAWgG,EAAE8kF,GAAG/nF,EAAEpC,EAAEC,EAAEiC,EAAEJ,EAAEC,EAAEQ,EAAEmD,GAAGD,GAAGX,EAAEzF,CAAC,EAAE,MAAM,QAAQ,MAAM,IAAI,MAAM,+DAA+D,GAAG,CAAC,CAAC,IAAIyE,GAAGvB,EAAEN,EAAEQ,EAAEkC,EAAES,EAAEjD,EAAE2C,EAAEF,EAAEd,IAAIuB,CAAC,CAAC,OAAO5H,EAAE,eAAe,EAAEC,EAAE,MAAMkH,CAAC,CAAC,CAAC,MAAM,CAAC,OAAOnH,EAAE,MAAMmH,EAAE,EAAElH,EAAE,KAAK,EAAE,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,IAAI0sF,GAAG,CAAC,WAAW7nE,GAAG,YAAY,MAAM,WAAWynE,EAAE,EAAE,SAASC,GAAG9sF,EAAE,EAAEE,EAAE,CAAC,OAAOA,EAAE,CAAC,IAAI,UAAU,OAAOgtF,GAAGltF,EAAE,CAAC,EAAE,IAAI,OAAO,OAAOmtF,GAAGntF,EAAE,CAAC,EAAE,IAAI,UAAU,OAAOotF,GAAGptF,EAAE,CAAC,EAAE,IAAI,WAAW,QAAQ,OAAOqtF,GAAGrtF,EAAE,CAAC,CAAC,CAAC,CAAC,SAASktF,GAAGltF,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,GAAGE,EAAE,EAAE,GAAG,GAAG,EAAEA,EAAE,MAAM,CAAC,IAAII,EAAE,EAAE,EAAEJ,EAAEI,IAAIJ,EAAEI,EAAE,KAAK,MAAM,CAACJ,EAAEI,CAAC,EAAEJ,GAAGA,EAAEA,EAAE,CAAC,EAAEA,EAAEI,EAAE,CAACJ,EAAE,CAAC,SAASA,EAAE,EAAE,EAAE,GAAG,GAAG,EAAEA,EAAE,MAAM,CAAC,IAAII,EAAE,EAAE,EAAEJ,GAAGI,EAAE,KAAK,MAAMJ,EAAEI,CAAC,EAAEJ,GAAG,IAAIA,EAAEI,EAAEJ,EAAE,EAAE,CAAC,OAAO4mB,EAAE,MAAM,EAAE5mB,EAAE,EAAE,CAAC,CAAC,CAAC,SAASitF,GAAGntF,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,GAAGE,EAAE,EAAE,GAAG,GAAG,EAAEA,EAAE,MAAM,CAAC,IAAII,EAAE,EAAE,EAAEJ,GAAG,GAAG,KAAK,MAAM,CAACA,EAAEI,CAAC,EAAE,EAAE,SAASJ,EAAE,EAAE,EAAE,GAAG,GAAG,EAAEA,EAAE,MAAM,CAAC,IAAII,EAAE,EAAE,EAAEJ,GAAG,EAAE,KAAK,MAAMA,EAAEI,CAAC,CAAC,CAAC,OAAOwmB,EAAE,MAAM,EAAE5mB,EAAE,EAAE,CAAC,CAAC,CAAC,SAASmtF,GAAGrtF,EAAE,EAAE,CAAC,OAAOA,CAAC,CAAC,SAASotF,GAAGptF,EAAE,EAAE,CAAC,OAAO8mB,EAAE,MAAM,EAAE9mB,EAAE,EAAE,CAAC,CAAC,CAAC,SAASstF,GAAGttF,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAE,CAAC,IAAIC,EAAE,EAAEvC,EAAE2B,EAAE1B,EAAE2B,EAAE,EAAEC,EAAE,MAAO,IAAGF,GAAGA,EAAE,GAAG,GAAGC,GAAGA,EAAEhC,EAAEF,EAAE6C,GAAGD,CAAC,CAAC,SAASmqF,GAAG/sF,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAE,CAAC,IAAIC,EAAE,KAAK,MAAMZ,CAAC,EAAEa,EAAE,KAAK,MAAMZ,CAAC,EAAE,OAAOorF,GAAGttF,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAEsC,EAAEC,EAAEX,EAAES,CAAC,CAAC,CAAC,SAASoqF,GAAGhtF,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAE,CAAC,IAAIC,EAAE,KAAK,MAAMZ,CAAC,EAAEa,EAAE,KAAK,MAAMZ,CAAC,EAAEa,EAAEF,EAAE,EAAEG,EAAEF,EAAE,EAAEoB,GAAGlB,EAAEd,GAAGorF,GAAGttF,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAEsC,EAAEC,EAAEX,EAAES,CAAC,GAAGV,EAAEY,GAAGwqF,GAAGttF,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAEsC,EAAEG,EAAEb,EAAES,CAAC,EAAE,GAAGI,EAAEd,GAAGorF,GAAGttF,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAEwC,EAAED,EAAEX,EAAES,CAAC,GAAGV,EAAEY,GAAGwqF,GAAGttF,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAEwC,EAAEC,EAAEb,EAAES,CAAC,EAAE,OAAOG,EAAEd,GAAGiC,GAAGjC,EAAEY,GAAG,CAAC,CAAC,SAAS0qF,GAAGvtF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQI,CAAC,EAAEN,EAAE,CAAC,KAAKO,CAAC,EAAEL,EAAE,CAAC,EAAE,CAAC,EAAE,EAAEuxE,GAAG,EAAE,QAAQ,EAAE,IAAI,EAAEnxE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC,aAAa2B,EAAE,YAAYC,EAAE,QAAQC,CAAC,EAAEyyE,GAAG,EAAEr0E,EAAE,EAAE,MAAM,EAAE,KAAK,EAAE,MAAM,CAACD,EAAE,eAAe4B,EAAE,EAAE,MAAMD,CAAC,EAAE3B,EAAE,eAAe,CAAC6B,EAAE,MAAM,EAAE,QAAQA,CAAC,CAAC,CAAC,CAAC,IAAIqrF,GAAG,CAAC,WAAWloE,GAAG,YAAY,MAAM,WAAWioE,EAAE,EAAE,SAASE,GAAIztF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAE,IAAI,GAAGC,EAAE,MAAM,QAAQ,IAAI,EAAEA,EAAE,MAAM,OAAO0B,EAAE1B,EAAE,MAAM,GAAG2B,EAAE,IAAI,MAAM,EAAE,CAAC,EAAEC,EAAE,EAAE,QAAQY,EAAE,EAAEA,EAAE,EAAEA,IAAIA,IAAI,IAAIb,EAAEC,KAAK5B,EAAE,MAAMwC,IAAI,IAAIH,EAAE,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC,EAAEC,EAAEtC,EAAE,MAAM,MAAM,EAAEsC,EAAE,GAAG,EAAE,IAAIC,EAAE,IAAI,MAAMb,CAAC,EAAE,QAAQc,EAAE,EAAEA,EAAED,EAAE,OAAOC,IAAI,CAACH,EAAE,GAAGG,EAAE,IAAIC,EAAEo2E,GAAG,CAAC,OAAO,CAAC,EAAE74E,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM0C,EAAE,KAAKC,CAAC,CAAC,CAAC,EAAEC,EAAEC,GAAG83E,GAAG,CAAC,OAAO,CAAC,EAAE73E,CAAC,EAAE,QAAQ9C,EAAE,MAAM,CAAC,MAAMgC,CAAC,CAAC,CAAC,EAAEhC,EAAE,8BAA8B8C,CAAC,CAAC,CAAC,OAAOF,CAAC,CAAC,IAAI4qF,GAAG,CAAC,WAAWnoE,GAAG,YAAY,MAAM,WAAWkoE,EAAG,EAAE,SAASE,GAAI3tF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,WAAW,CAAC,EAAE,EAAE,CAAC,YAAY,CAAC,EAAED,EAAEmxE,GAAGlxE,EAAE,oBAAoB,EAAE,IAAI0B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE,EAAE,MAAM,OAAOC,EAAE,CAAC,EAAES,EAAE,CAAC,EAAEC,EAAEZ,EAAEC,EAAEY,EAAE,EAAE,QAAQE,EAAE,EAAEA,EAAEH,EAAE,EAAEG,EAAE,CAAC,IAAIkB,EAAEy9E,GAAG,CAAC,OAAO,CAAC,MAAM7+E,CAAC,EAAE,QAAQ5C,EAAE,MAAM,CAAC,IAAI8C,EAAE,CAAC,CAAC,CAAC,EAAEF,EAAEoB,EAAEtB,EAAE,KAAKsB,CAAC,CAAC,CAAC,QAAQlB,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIkB,EAAE4iB,EAAE,kBAAkB9jB,EAAE,OAAO,EAAE,EAAE9C,EAAE,eAAe,CAAC,EAAE,QAAQgE,CAAC,EAAEqD,EAAE4uE,GAAG,CAAC,OAAO,CAAC,EAAE,EAAE,EAAErzE,CAAC,EAAE,QAAQ5C,CAAC,CAAC,EAAE6E,EAAEwwE,GAAG,CAAC,OAAO,CAAC,EAAAhuE,CAAC,EAAE,QAAQrH,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAEyE,EAAE+yE,GAAG,CAAC,OAAO,CAAC,EAAE3yE,EAAE,EAAExE,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE0E,EAAEi8E,GAAG,CAAC,OAAO,CAACl8E,CAAG,EAAE,QAAQzE,EAAE,MAAM,CAAC,KAAK,EAAE,SAAS,EAAE,CAAC,CAAC,EAAEiC,EAAE,KAAKyC,CAAC,EAAEhC,EAAE,KAAK,CAAC,EAAEA,EAAE,KAAK2E,CAAC,EAAE3E,EAAE,KAAKmC,CAAC,EAAEnC,EAAE,KAAK+B,CAAC,EAAE/B,EAAE,KAAKgC,CAAC,CAAC,CAAC,IAAI7B,EAAEwkF,GAAG,CAAC,OAAOplF,EAAE,QAAQjC,EAAE,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,OAAO0C,EAAE,QAAQI,GAAG9C,EAAE,8BAA8B8C,CAAC,CAAC,EAAED,CAAC,CAAC,IAAI6qF,GAAG,CAAC,WAAWpoE,GAAG,YAAY,MAAM,WAAWmoE,EAAG,EAAME,GAAI,CAAC3S,GAAGpG,GAAGsG,GAAGE,GAAGzF,GAAG2F,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGG,GAAGE,GAAGM,GAAGE,GAAGE,GAAGE,GAAGvC,GAAGyC,GAAGE,GAAGE,GAAGE,GAAGvI,GAAGU,GAAG+H,GAAGhJ,GAAGkJ,GAAGI,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGC,GAAGC,GAAGC,GAAGI,GAAG9G,GAAGgH,GAAG9K,GAAGsL,GAAGpL,GAAGsL,GAAGpL,GAAG8L,GAAGG,GAAGC,GAAGhM,GAAGmM,GAAGE,GAAGE,GAAGE,GAAGE,GAAGzM,GAAGE,GAAG1B,GAAGmO,GAAGlF,GAAGoF,GAAGE,GAAGE,GAAGzJ,GAAGpD,GAAGE,GAAG6M,GAAG3M,GAAG6M,GAAGG,GAAGE,GAAGG,GAAGE,GAAGE,GAAGE,GAAGzN,GAAG2N,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGrO,GAAGuO,GAAGG,GAAGK,GAAG5O,GAAGE,GAAG6O,GAAGG,GAAGG,GAAGjP,GAAGmP,GAAGI,GAAGE,GAAGE,GAAGG,GAAGtN,GAAGpC,GAAG4P,GAAGE,GAAGE,GAAGE,GAAG/S,GAAGyM,GAAGwG,GAAG9N,GAAGE,GAAGG,GAAG2N,GAAGE,GAAGE,GAAGE,GAAGE,GAAGC,GAAGE,GAAGnQ,GAAGqQ,GAAGK,GAAGE,GAAGI,GAAG9Q,GAAGgR,GAAGE,GAAGE,GAAGlR,GAAGgN,GAAGsE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGlS,GAAGmS,GAAGjS,GAAGmS,GAAGE,GAAGE,GAAGE,GAAGE,GAAGtS,GAAGgH,GAAGwL,GAAGE,GAAGE,GAAGE,GAAGK,GAAGhV,GAAGuV,GAAGE,GAAGE,GAAGxG,EAAE,EAAE,QAAQpnF,KAAK6tF,GAAIpnE,GAAGzmB,CAAC,EAAE,IAAI8tF,GAAG,CAAC,EAAE1tF,GAAG0tF,GAAG,CAAC,iBAAiB,IAAIC,GAAG,wBAAwB,IAAIC,GAAI,8BAA8B,IAAIC,GAAG,mCAAmC,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,mCAAmC,IAAIC,GAAG,aAAa,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,qBAAqB,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,cAAc,IAAIC,GAAG,wBAAwB,IAAIC,GAAG,yBAAyB,IAAIC,GAAG,cAAc,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,YAAY,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,uBAAuB,IAAIC,GAAG,eAAe,IAAIC,GAAI,0BAA0B,IAAIC,GAAG,iCAAiC,IAAIC,GAAG,YAAY,IAAIC,GAAG,aAAa,IAAIC,GAAG,gCAAgC,IAAIC,GAAG,kCAAkC,IAAIC,GAAG,qBAAqB,IAAIC,GAAG,uBAAuB,IAAIC,GAAG,aAAa,IAAIC,GAAG,mCAAmC,IAAIC,GAAG,8BAA8B,IAAIC,GAAG,cAAc,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,sBAAsB,IAAIC,GAAG,YAAY,IAAIC,GAAG,0BAA0B,IAAIC,GAAG,oBAAoB,IAAIC,GAAI,yBAAyB,IAAIC,GAAI,kCAAkC,IAAIC,GAAG,kBAAkB,IAAIC,GAAI,oBAAoB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,oBAAoB,IAAIC,EAAE,CAAC,EAAE,IAAIC,GAAG,CAAC,EAAEC,GAAG,CAAC,MAAM,GAAG,UAAU,GAAG,mBAAmB,GAAG,sBAAsB,GAAG,MAAM,GAAG,QAAQ,GAAG,6BAA6B,EAAE,EAAE,SAASC,GAAG5wF,EAAE,EAAE,CAAC0wF,GAAG1wF,GAAG,CAAC,CAAC,SAAS6wF,GAAG7wF,EAAE,EAAE,CAAC,GAAG,EAAEA,KAAK0wF,KAAK,GAAG,KAAK,CAAC,IAAIpwF,EAAEwwF,GAAI9wF,EAAE,CAAC,EAAE,GAAGM,IAAI,KAAKowF,GAAG1wF,GAAGM,MAAO,QAAO,QAAQ,IAAI,0CAA0CN,CAAC,EAAE,IAAI,CAAC,IAAIE,EAAEwwF,GAAG1wF,GAAG,OAAOE,GAAG,MAAMA,EAAE,cAAc,GAAG,OAAOwwF,GAAG1wF,GAAG6wF,GAAG7wF,CAAC,IAAIE,EAAE,QAAQA,EAAE,UAAU,EAAEA,EAAE,QAAQA,EAAE,YAAY,EAAEA,EAAE,QAAQA,EAAE,KAAK,EAAEA,EAAE,QAAQA,EAAE,MAAM,EAAEA,EAAE,QAAQA,EAAE,mBAAmB,EAAEA,EAAE,QAAQA,EAAE,eAAe,EAAEA,EAAE,OAAOA,EAAE,YAAY,EAAEA,EAAE,OAAOA,EAAE,SAAS,EAAEA,EAAE,SAASA,EAAE,IAAI,EAAEwwF,GAAG1wF,GAAG,CAAC,SAAS+wF,GAAI/wF,EAAE,CAAC,GAAG,OAAO,iBAAiB,aAAaA,IAAI,EAAE,OAAO,IAAI,gBAAgB,IAAI,GAAG,EAAE,GAAG,OAAO,UAAU,YAAY,OAAO,SAAS,cAAc,QAAQ,EAAE,MAAM,IAAI,MAAM,wCAAwC,CAAC,CAAC,SAAS8wF,GAAI9wF,EAAE,EAAE,CAAC,GAAGA,IAAI,GAAGA,IAAI,EAAE,MAAM,IAAI,MAAM,wDAAwD,EAAE,IAAIE,EAAE,GAAG,KAAK6wF,GAAI/wF,CAAC,EAAE,EAAE,OAAOE,EAAE,iBAAiB,mBAAmBI,GAAG,CAACA,EAAE,eAAe,EAAE,OAAOowF,GAAG1wF,EAAE,EAAE,EAAE,EAAEya,EAAE,EAAE,QAAQ,wBAAwB,IAAIk2E,GAAG,6BAA6B,IAAI3wF,IAAI,EAAEE,EAAE,WAAW,QAAQywF,EAAE,GAAGzwF,EAAE,WAAW,qBAAqBywF,EAAE,EAAEzwF,EAAE,WAAW,SAASywF,EAAE,CAAC,CAAC,IAAIK,IAAI,SAAShxF,EAAE,CAACA,EAAEA,EAAE,MAAM,GAAG,QAAQA,EAAEA,EAAE,aAAa,GAAG,cAAc,GAAGgxF,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAASjxF,EAAE,CAACA,EAAEA,EAAE,OAAO,GAAG,SAASA,EAAEA,EAAE,OAAO,GAAG,SAASA,EAAEA,EAAE,OAAO,GAAG,SAASA,EAAEA,EAAE,SAAS,GAAG,UAAU,GAAGixF,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAASlxF,EAAE,CAACA,EAAEA,EAAE,iBAAiB,GAAG,mBAAmBA,EAAEA,EAAE,iBAAiB,GAAG,mBAAmBA,EAAEA,EAAE,yBAAyB,GAAG,2BAA2BA,EAAEA,EAAE,mBAAmB,GAAG,qBAAqBA,EAAEA,EAAE,mBAAmB,GAAG,oBAAoB,GAAGkxF,KAAKA,GAAG,CAAC,EAAE,EAAE,SAASC,GAAGnxF,EAAE,EAAE,CAAC,MAAM,CAAC,EAAEA,CAAC,CAAC,CAAC,SAASoxF,GAAGpxF,EAAE,EAAE,CAAC,OAAOA,EAAE,CAAC,CAAC,SAASqxF,GAAGrxF,EAAE,CAAC,IAAI,EAAE8mB,EAAE,cAAc9mB,CAAC,EAAEE,EAAE,KAAK,KAAK,EAAE,CAAC,EAAE,OAAO4mB,EAAE,oBAAoB5mB,CAAC,CAAC,CAAC,SAASoxF,GAAGtxF,EAAE,EAAE,CAAC,MAAM,CAAC,KAAK,IAAI,EAAE,KAAK,KAAK,EAAE,CAAC,CAAC,EAAE,KAAK,IAAI,EAAE,KAAK,KAAKA,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,SAASuxF,GAAGvxF,EAAE,EAAE,CAAC,GAAG,CAACE,EAAEI,CAAC,EAAEgxF,GAAGtxF,EAAE,CAAC,EAAE,OAAOE,EAAEI,EAAE,CAAC,CAAC,SAASkxF,GAAGxxF,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAEM,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAEC,EAAEC,EAAE,OAAO2X,EAAE,EAAE,UAAU,eAAe,IAAI,GAAGna,EAAEJ,EAAE,KAAKK,EAAEL,EAAE,KAAK,EAAEA,EAAE,QAAQ,EAAEA,EAAE,QAAQ+B,EAAE/B,EAAE,IAAIiC,EAAE,EAAES,EAAE,EAAEC,EAAE3C,EAAE,WAAW4C,EAAE5C,EAAE,MAAMgC,EAAEhC,EAAE,QAAQI,EAAEN,EAAE,KAAKO,EAAEP,EAAE,KAAK,EAAEA,EAAE,KAAK,EAAEE,EAAE,KAAK+B,EAAEjC,EAAE,KAAKmC,EAAE,EAAES,EAAE,EAAEC,EAAE,GAAG,KAAK,EAAE,eAAe,KAAKC,EAAE9C,EAAE,MAAMkC,EAAElC,EAAE,MAAM,CAAC,oBAAoBM,EAAE,wBAAwBC,EAAE,8BAA8B,EAAE,0BAA0B,EAAE,mBAAmB0B,EAAE,sBAAsBC,EAAE,0BAA0BC,EAAE,mBAAmBS,EAAE,qBAAqBC,EAAE,iBAAiBC,CAAC,CAAC,CAAC,SAASurF,GAAGruF,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAE,EAAE,OAAOua,EAAE,EAAE,QAAQ,OAAO,GAAGg3E,GAAIzxF,CAAC,EAAEE,CAAC,CAAC,SAASuxF,GAAIzxF,EAAE,CAAC,IAAI,EAAEA,EAAE,SAAS,EAAE,GAAG,IAAIA,EAAE,SAAS,MAAM,IAAI,MAAM,gBAAgByvF,GAAGzvF,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI0xF,GAAI,QAAQC,GAAI,MAAM,SAASrD,GAAGtuF,EAAE,CAAC,MAAM,CAAC,EAAEya,EAAE,EAAE,QAAQ,8BAA8B,GAAGza,IAAI,GAAG0xF,GAAI,KAAK,IAAI1xF,CAAC,GAAG,KAAK,IAAIA,CAAC,EAAE2xF,GAAI,CAAC,SAASlC,GAAGzvF,EAAE,EAAE,CAAC,OAAO,EAAE,CAAC,KAAKA,EAAE,SAAS,MAAM,WAAW,KAAKA,EAAE,aAAa,MAAM,eAAe,KAAKA,EAAE,cAAc,MAAM,gBAAgB,KAAKA,EAAE,kBAAkB,MAAM,oBAAoB,KAAKA,EAAE,8BAA8B,MAAM,gCAAgC,KAAKA,EAAE,cAAc,MAAM,gBAAgB,KAAKA,EAAE,mBAAmB,MAAM,qBAAqB,QAAQ,MAAM,sBAAsB,GAAG,CAAC,CAAC,SAAS+uF,GAAG/uF,EAAE,EAAE,CAAC,OAAO4xF,GAAG5xF,EAAE,IAAIA,EAAE,aAAa,CAAC,EAAE,cAAc,EAAE,kCAAkC,CAAC,CAAC,SAAS6uF,GAAG7uF,EAAE,EAAE,CAAC,IAAIE,EAAE0xF,GAAG5xF,EAAE,IAAIA,EAAE,aAAaA,EAAE,aAAa,EAAE,sCAAsC,EAAE,GAAGquF,GAAGruF,EAAE,IAAIA,EAAE,aAAaE,EAAE,CAAC,CAAC,EAAEmuF,GAAGruF,EAAE,IAAIA,EAAE,cAAcE,CAAC,CAAC,EAAEF,EAAE,mBAAmBE,EAAEF,EAAE,cAAc,IAAI,GAAG,MAAM,QAAQ,IAAIA,EAAE,iBAAiBE,CAAC,CAAC,EAAE,IAAI,MAAM,kCAAkC,EAAE,OAAOA,CAAC,CAAC,SAASquF,GAAGvuF,EAAE,EAAE,CAAC,IAAIE,EAAE0xF,GAAG5xF,EAAE,IAAIA,EAAE,aAAaA,EAAE,eAAe,EAAE,wCAAwC,EAAE,GAAGquF,GAAGruF,EAAE,IAAIA,EAAE,aAAaE,EAAE,CAAC,CAAC,EAAEmuF,GAAGruF,EAAE,IAAIA,EAAE,cAAcE,CAAC,CAAC,EAAEua,EAAE,EAAE,IAAI,qBAAqB,EAAE,OAAOva,EAAE,GAAGF,EAAE,mBAAmBE,EAAEF,EAAE,cAAc,IAAI,GAAG,MAAMkwF,GAAG,EAAElwF,EAAE,iBAAiBE,CAAC,CAAC,EAAE,IAAI,MAAM,oCAAoC,EAAE,OAAOA,CAAC,CAAC,IAAI2xF,GAAI,2BAA2B,SAAS3B,GAAGlwF,EAAE,EAAE,CAAC,IAAIE,EAAE2xF,GAAI,KAAK,CAAC,EAAE,GAAG3xF,GAAG,KAAK,CAAC,QAAQ,IAAI,wCAAwC,GAAG,EAAE,QAAQ,IAAIF,CAAC,EAAE,MAAM,CAAC,IAAIM,EAAE,CAACJ,EAAE,GAAGK,EAAEP,EAAE,MAAM;AAAA,CAC5ic,EAAE,EAAEO,EAAE,OAAO,SAAS,EAAE,OAAO,EAAE,EAAEA,EAAE,IAAI,CAACsC,EAAEC,IAAIgkB,EAAE,UAAUhkB,EAAE,GAAG,SAAS,EAAE,CAAC,EAAED,CAAC,EAAEZ,EAAE,EAAE,QAAQY,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAIZ,EAAE,KAAK,IAAI,EAAEY,GAAG,OAAOZ,CAAC,EAAE,IAAIC,EAAE,EAAE,MAAM,EAAE5B,EAAE,CAAC,EAAE6B,EAAE,EAAE,MAAM7B,EAAE,EAAEA,CAAC,EAAEsC,EAAE,EAAE,MAAMtC,CAAC,EAAE,QAAQ,IAAI4B,EAAE,KAAK;AAAA,CACjN,CAAC,EAAE,QAAQ,IAAI,EAAE,MAAM;AAAA,CACvB,EAAE,EAAE,EAAE,QAAQ,IAAI,MAAM4kB,EAAE,SAAS3kB,EAAE,GAAGF,CAAC,IAAI,+DAA+D,EAAE,QAAQ,IAAIW,EAAE,KAAK;AAAA,CACjI,CAAC,CAAC,CAAC,SAAS6rF,GAAGzuF,EAAE,CAAC,OAAO4xF,GAAG5xF,EAAE,IAAIA,EAAE,cAAc,EAAE,gCAAgC,CAAC,CAAC,SAASiwF,GAAGjwF,EAAE,EAAE,CAAC,GAAGquF,GAAGruF,EAAE,IAAIA,EAAE,YAAY,CAAC,CAAC,EAAE,CAACya,EAAE,EAAE,IAAI,qBAAqB,GAAGza,EAAE,oBAAoB,EAAEA,EAAE,WAAW,IAAI,GAAG,MAAM,QAAQ,IAAIA,EAAE,kBAAkB,CAAC,CAAC,EAAE,IAAI,MAAM,6CAA6C,CAAC,CAAC,SAASwwF,GAAGxwF,EAAE,EAAE,CAAC,GAAGquF,GAAGruF,EAAE,IAAIA,EAAE,gBAAgB,CAAC,CAAC,EAAEA,EAAE,oBAAoB,EAAEA,EAAE,eAAe,IAAI,GAAG,MAAM,QAAQ,IAAIA,EAAE,kBAAkB,CAAC,CAAC,EAAE,IAAI,MAAM,mCAAmC,CAAC,CAAC,SAAS2uF,GAAG3uF,EAAE,EAAE,CAAC,IAAIE,EAAE0xF,GAAG5xF,EAAE,IAAIA,EAAE,aAAa,EAAE,8BAA8B,EAAE,OAAOquF,GAAGruF,EAAE,IAAIA,EAAE,WAAWA,EAAE,aAAaE,CAAC,CAAC,EAAEmuF,GAAGruF,EAAE,IAAIA,EAAE,WAAWA,EAAE,aAAa,EAAEA,EAAE,WAAW,CAAC,EAAEE,CAAC,CAAC,SAASwuF,GAAG1uF,EAAE,EAAE,CAAC,IAAIE,EAAE0xF,GAAG5xF,EAAE,IAAIA,EAAE,aAAa,EAAE,8BAA8B,EAAE,OAAOquF,GAAGruF,EAAE,IAAIA,EAAE,WAAWA,EAAE,qBAAqBE,CAAC,CAAC,EAAEmuF,GAAGruF,EAAE,IAAIA,EAAE,WAAWA,EAAE,qBAAqB,EAAEA,EAAE,WAAW,CAAC,EAAEE,CAAC,CAAC,SAASgvF,IAAK,CAAC,OAAOz0E,EAAE,EAAE,UAAU,eAAe,IAAI,EAAE,EAAE,CAAC,CAAC,SAASm0E,GAAG5uF,EAAE,CAAC,OAAO4xF,GAAG5xF,EAAE,IAAIA,EAAE,cAAc,EAAE,gCAAgC,CAAC,CAAC,SAASywF,GAAGzwF,EAAE,EAAE,CAAC,IAAIE,EAAEua,EAAE,EAAE,UAAU,wBAAwB,EAAE,GAAGza,GAAG,GAAG,GAAG,EAAE,CAAC,IAAIM,EAAE,IAAIN,KAAK,KAAK,MAAM,IAAI,MAAM,0BAA0BM,EAAE,cAAc,CAAC,CAAC,GAAGN,EAAEE,GAAG,EAAEA,EAAE,CAAC,IAAII,EAAE,IAAIN,KAAK,KAAKO,EAAE,IAAIL,KAAKA,KAAK,MAAM,IAAI,MAAM,0BAA0BI,EAAE,qDAAqDC,EAAE,GAAG,CAAC,CAAC,CAAC,SAASiuF,GAAGxuF,EAAE,CAAC,OAAO4xF,GAAG5xF,EAAE,IAAIA,EAAE,kBAAkB,EAAE,oCAAoC,CAAC,CAAC,SAASouF,GAAGpuF,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE,CAAC,IAAI0B,EAAEjC,EAAE,kBAAkB,EAAEE,CAAC,EAAE,OAAO+B,IAAI,GAAG,IAAIosF,GAAGruF,EAAE,IAAIA,EAAE,WAAWA,EAAE,aAAaM,CAAC,CAAC,EAAE+tF,GAAGruF,EAAE,IAAIA,EAAE,oBAAoBiC,EAAE1B,EAAEP,EAAE,MAAM,GAAG,EAAE,CAAC,CAAC,EAAEquF,GAAGruF,EAAE,IAAIA,EAAE,wBAAwBiC,CAAC,CAAC,EAAE,GAAG,CAAC,SAASksF,GAAGnuF,EAAE,EAAEE,EAAE,CAAC4xF,GAAG9xF,EAAEE,CAAC,EAAEmuF,GAAGruF,EAAE,IAAIA,EAAE,cAAcA,EAAE,SAASE,CAAC,CAAC,EAAEmuF,GAAGruF,EAAE,IAAIA,EAAE,YAAYA,EAAE,WAAW,CAAC,CAAC,CAAC,CAAC,SAASswF,GAAItwF,EAAE,EAAE,CAAC8xF,GAAG9xF,EAAE,CAAC,EAAEquF,GAAGruF,EAAE,IAAIA,EAAE,cAAcA,EAAE,SAAS,CAAC,CAAC,EAAEquF,GAAGruF,EAAE,IAAIA,EAAE,YAAYA,EAAE,WAAW,IAAI,CAAC,CAAC,CAAC,SAASovF,GAAGpvF,EAAE,EAAEE,EAAE,CAAC,OAAO0xF,GAAG5xF,EAAE,IAAIA,EAAE,mBAAmB,EAAEE,CAAC,EAAE,YAAYA,EAAE,2BAA2B,CAAC,CAAC,SAASivF,GAAGnvF,EAAE,EAAEE,EAAE,CAAC,OAAOF,EAAE,mBAAmB,EAAEE,CAAC,CAAC,CAAC,SAASguF,GAAGluF,EAAE,EAAEE,EAAEI,EAAE,CAAC+tF,GAAGruF,EAAE,IAAImuF,GAAGnuF,EAAE,EAAEM,CAAC,CAAC,EAAE+tF,GAAGruF,EAAE,IAAIA,EAAE,UAAUE,EAAEI,CAAC,CAAC,CAAC,CAAC,SAAS0tF,GAAIhuF,EAAE,CAACquF,GAAGruF,EAAE,IAAIA,EAAE,gBAAgBA,EAAE,YAAY,IAAI,CAAC,EAAEquF,GAAGruF,EAAE,IAAIA,EAAE,SAAS,EAAE,EAAEA,EAAE,OAAO,MAAMA,EAAE,OAAO,MAAM,CAAC,EAAEquF,GAAGruF,EAAE,IAAIA,EAAE,QAAQ,EAAE,EAAEA,EAAE,OAAO,MAAMA,EAAE,OAAO,MAAM,CAAC,CAAC,CAAC,SAASiuF,GAAGjuF,EAAE,EAAEE,EAAE,CAACmuF,GAAGruF,EAAE,IAAIA,EAAE,gBAAgBA,EAAE,YAAYE,CAAC,CAAC,EAAEmuF,GAAGruF,EAAE,IAAIA,EAAE,qBAAqBA,EAAE,YAAYA,EAAE,kBAAkBA,EAAE,WAAW,EAAE,CAAC,CAAC,CAAC,CAAC,SAASqwF,GAAGrwF,EAAE,EAAE,CAACquF,GAAGruF,EAAE,IAAIA,EAAE,gBAAgBA,EAAE,YAAY,CAAC,CAAC,EAAEquF,GAAGruF,EAAE,IAAIA,EAAE,qBAAqBA,EAAE,YAAYA,EAAE,kBAAkBA,EAAE,WAAW,KAAK,CAAC,CAAC,CAAC,CAAC,SAASuwF,GAAGvwF,EAAE,CAAC,IAAI,EAAEA,EAAE,uBAAuBA,EAAE,WAAW,EAAE,GAAG,IAAIA,EAAE,qBAAqB,MAAM,IAAI,MAAM,8BAA8BgvF,GAAGhvF,EAAE,CAAC,CAAC,CAAC,CAAC,SAASgvF,GAAGhvF,EAAE,EAAE,CAAC,OAAO,EAAE,CAAC,KAAKA,EAAE,kCAAkC,MAAM,oCAAoC,KAAKA,EAAE,0CAA0C,MAAM,4CAA4C,KAAKA,EAAE,kCAAkC,MAAM,oCAAoC,KAAKA,EAAE,wBAAwB,MAAM,0BAA0B,QAAQ,MAAM,iBAAiB,GAAG,CAAC,CAAC,SAAS4xF,GAAG5xF,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE+tF,GAAGruF,EAAE,IAAI,EAAE,CAAC,EAAE,GAAGM,GAAG,KAAK,MAAM,IAAI,MAAMJ,CAAC,EAAE,OAAOI,CAAC,CAAC,SAASwxF,GAAG9xF,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,iCAAiC,EAAEM,EAAE,EAAEN,EAAE,SAAS,GAAGM,EAAEN,EAAE,UAAUM,EAAEJ,EAAE,CAAC,IAAIK,EAAE,2BAA2BL,KAAK,MAAM,IAAI,MAAM,0BAA0BK,IAAI,CAAC,CAAC,CAAC,SAASuuF,GAAG9uF,EAAE,EAAE,EAAE,CAAC,OAAO8mB,EAAE,cAAc9mB,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,SAASqvF,GAAGrvF,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,MAAM,MAAM,sDAAsD,EAAE,MAAM,CAACA,EAAE,OAAO,EAAEA,EAAEA,EAAE,OAAO,GAAG,EAAEA,EAAEA,EAAE,OAAO,EAAE,CAAC,CAAC,SAASsvF,GAAGtvF,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,OAAOA,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAGA,EAAE,KAAK,IAAI,EAAE,CAAC8uF,GAAG9uF,CAAC,EAAE,GAAGqvF,GAAGrvF,CAAC,CAAC,GAAG,CAAC,CAAC,SAASuvF,GAAGvvF,EAAE,EAAE,GAAG,CAAC,IAAIE,EAAEua,EAAE,EAAE,UAAU,wBAAwB,EAAEna,EAAEma,EAAE,EAAE,UAAU,mCAAmC,EAAEna,IAAI,EAAE,GAAGma,EAAE,EAAE,QAAQ,0CAA0C,IAAIna,EAAEJ,EAAE,GAAG,IAAIA,EAAEA,EAAE,EAAEI,EAAEA,EAAE,EAAEN,EAAEA,EAAE,IAAI,CAACiC,EAAEC,IAAIA,GAAGlC,EAAE,OAAO,EAAE8mB,EAAE,kBAAkB9mB,EAAEkC,EAAE,EAAElC,EAAEkC,EAAE,EAAElC,EAAE,SAAS,IAAIA,EAAE,CAAC,EAAEA,EAAE,EAAE,IAAIA,EAAE,SAAS,IAAIA,EAAE8mB,EAAE,aAAa9mB,CAAC,EAAE,UAAU,IAAIO,EAAEumB,EAAE,cAAc9mB,CAAC,EAAE,EAAE,KAAKA,EAAE,QAAQ,GAAGO,GAAGL,EAAE,EAAE,CAAC,EAAEK,CAAC,EAAEP,EAAE,SAAS,GAAGA,EAAE,IAAIE,GAAGF,EAAE,IAAIE,EAAE,EAAEF,EAAEA,EAAE,SAAS,GAAGA,EAAE,GAAGA,EAAE,IAAIE,GAAGF,EAAE,IAAIE,EAAE,EAAE,CAACF,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,EAAEA,EAAE,SAAS,GAAGA,EAAE,IAAIE,GAAGF,EAAE,GAAGA,EAAE,IAAIE,EAAE,EAAE,CAACF,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,EAAEA,EAAE,SAAS,GAAGA,EAAE,GAAGA,EAAE,GAAGA,EAAE,IAAIE,GAAGF,EAAE,IAAIE,EAAE,EAAE,CAACF,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,EAAEA,EAAE,SAAS,GAAGA,EAAE,IAAIE,GAAGF,EAAE,GAAGA,EAAE,GAAGA,EAAE,IAAIE,IAAI,EAAE,CAACF,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,GAAG,IAAI,EAAE,GAAG,MAAM,KAAK,IAAI,GAAG,CAAC,EAAEM,GAAG,KAAK,IAAI,GAAG,CAAC,IAAI,EAAE,EAAE,IAAI,KAAK,IAAI,GAAG,CAAC,EAAE,EAAE,GAAG,GAAG,MAAM,EAAE,GAAG,EAAE,CAAC,IAAI2B,EAAE6sF,GAAG9uF,CAAC,EAAEkC,EAAE,EAAEC,EAAE,EAAEnC,EAAE,SAAS,CAACkC,EAAEC,CAAC,EAAEktF,GAAGrvF,CAAC,GAAGO,EAAE0B,GAAGC,EAAE,IAAIC,EAAE,GAAG,EAAE2kB,EAAE,oBAAoBvmB,CAAC,EAAE,IAAIqC,GAAGA,EAAE,CAAC,CAAC,MAAM,EAAEkkB,EAAE,oBAAoBvmB,CAAC,EAAE,OAAO,CAAC,CAAC,SAASwxF,GAAG/xF,EAAE,CAAC,OAAOA,EAAE,IAAI,CAAC,CAAC,SAAS8vF,GAAG9vF,EAAE,EAAE,CAAC,GAAGA,EAAEA,EAAE,MAAM,EAAE,EAAE,EAAE,EAAE,MAAM,EAAE,EAAE8mB,EAAE,YAAY9mB,EAAE,CAAC,GAAG,CAACA,EAAE,QAAQ,CAAC,EAAE,QAAQA,EAAE,KAAK,GAAGA,EAAE,KAAK,GAAG,EAAE,KAAK,GAAG,EAAE,KAAK,EAAE,MAAM,GAAG,GAAGA,EAAE,SAAS,EAAE,OAAO,CAAC,IAAIE,EAAEF,EAAE,MAAM,EAAE,EAAE,GAAGM,EAAE,EAAE,MAAM,EAAE,EAAE,GAAG,GAAGJ,IAAII,GAAGyxF,GAAG7xF,CAAC,GAAG6xF,GAAGzxF,CAAC,IAAIN,EAAE,KAAK,GAAG,EAAE,KAAK,GAAG,MAAM,EAAE,CAAC,OAAOA,EAAE,KAAK,EAAE,IAAI+xF,GAAG/xF,EAAE,EAAE,GAAG+xF,GAAG,EAAE,EAAE,CAAC,CAAC,IAAIC,GAAGC,GAAG,SAASvC,GAAG1vF,EAAE,CAAC,GAAGgyF,IAAI,KAAK,CAAC,IAAI,EAAEnB,GAAG7wF,CAAC,EAAEgyF,GAAG,EAAE,aAAa,EAAE,gBAAgB,CAAC,CAAC,OAAOA,EAAE,CAAC,SAAS7B,IAAK,CAAC6B,GAAG,IAAI,CAAC,SAAS5B,IAAK,CAAC6B,GAAG,IAAI,CAAC,SAAShD,GAAGjvF,EAAE,CAAC,GAAGiyF,IAAI,KAAK,CAAC,IAAI,EAAEpB,GAAG7wF,CAAC,EAAEiyF,GAAG,EAAE,aAAa,EAAE,uBAAuB,CAAC,CAAC,OAAO,KAAK,IAAI,GAAGA,EAAE,CAAC,CAAC,SAASzC,GAAGxvF,EAAE,CAAC,GAAGA,IAAI,EAAE,MAAO,GAAE,IAAI,EAAEE,EAAE2wF,GAAG7wF,CAAC,EAAE,OAAO2vF,GAAGzvF,EAAE,iCAAiC,GAAGF,IAAI,EAAE,EAAE,EAAE2vF,GAAGzvF,EAAE,0BAA0B,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,SAASyvF,GAAG3vF,EAAE,EAAE,CAAC,OAAOA,EAAE,aAAa,CAAC,GAAG,IAAI,CAAC,SAASgwF,GAAGhwF,EAAE,CAAC,GAAG,CAAC,GAAG6wF,GAAG7wF,CAAC,GAAG,KAAK,MAAM,EAAE,OAAO,EAAN,CAAS,OAAO,QAAQ,IAAI,qCAAqC,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,CAAC,SAAS4vF,GAAG5vF,EAAE,CAAC,GAAGA,IAAI,EAAE,MAAM,GAAG,IAAI,EAAE6wF,GAAG7wF,CAAC,EAAE,GAAGA,IAAI,GAAG,GAAG,CAAC2vF,GAAG,EAAE,mBAAmB,EAAE,MAAM,WAAW,CAACA,GAAG,EAAE,wBAAwB,EAAE,MAAM,GAAG,OAAOuC,GAAG,CAAC,CAAC,CAAC,SAASrC,GAAG7vF,EAAE,CAAC,GAAGA,IAAI,EAAE,MAAM,GAAG,IAAI,EAAE6wF,GAAG7wF,CAAC,EAAE,GAAGA,IAAI,GAAG,GAAG,CAAC2vF,GAAG,EAAE,mBAAmB,GAAG,CAACA,GAAG,EAAE,0BAA0B,EAAE,MAAM,OAAO,CAAC,GAAGA,GAAG,EAAE,wBAAwB,EAAE,OAAOuC,GAAG,CAAC,EAAE,IAAI,EAAE,8BAA8B,GAAGvC,GAAG,EAAE,CAAC,EAAE,CAAC,IAAIpvF,EAAE,EAAE,aAAa,CAAC,EAAE,OAAO4xF,GAAI,EAAE5xF,CAAC,CAAC,CAAC,MAAM,EAAE,CAAC,OAAO2xF,GAAG,CAAC,CAAC,CAAC,SAASA,GAAGlyF,EAAE,CAAC,IAAI,EAAEwxF,GAAGxxF,CAAC,EAAEE,EAAEF,EAAE,cAAc,EAAEA,EAAE,YAAYA,EAAE,WAAWE,CAAC,EAAE,IAAII,EAAE,EAAEC,EAAE,EAAEP,EAAE,WAAWA,EAAE,WAAW,EAAE,EAAE,oBAAoBM,EAAEC,EAAE,EAAE,EAAE,mBAAmB,EAAE,iBAAiB,IAAI,EAAE,IAAI,EAAEP,EAAE,kBAAkB,EAAEA,EAAE,gBAAgBA,EAAE,YAAY,CAAC,EAAEA,EAAE,qBAAqBA,EAAE,YAAYA,EAAE,kBAAkBA,EAAE,WAAWE,EAAE,CAAC,EAAE,IAAI,EAAEF,EAAE,uBAAuBA,EAAE,WAAW,IAAIA,EAAE,qBAAqB,OAAOA,EAAE,YAAYA,EAAE,WAAW,IAAI,EAAEA,EAAE,gBAAgBA,EAAE,YAAY,IAAI,EAAEA,EAAE,cAAcE,CAAC,EAAEF,EAAE,kBAAkB,CAAC,EAAE,CAAC,CAAC,SAASmyF,GAAInyF,EAAE,EAAE,CAAC,IAAIE,EAAEsxF,GAAGxxF,EAAE,CAAC,EAAEM,EAAEN,EAAE,cAAc,EAAEA,EAAE,YAAYA,EAAE,WAAWM,CAAC,EAAE,IAAIC,EAAE,EAAE,EAAE,EAAEP,EAAE,WAAWA,EAAE,WAAW,EAAEE,EAAE,wBAAwBK,EAAE,EAAE,EAAEL,EAAE,mBAAmBA,EAAE,qBAAqB,IAAI,EAAE,IAAI,EAAEF,EAAE,kBAAkB,EAAEA,EAAE,gBAAgBA,EAAE,YAAY,CAAC,EAAEA,EAAE,qBAAqBA,EAAE,YAAYA,EAAE,kBAAkBA,EAAE,WAAWM,EAAE,CAAC,EAAE,IAAI2B,EAAEjC,EAAE,uBAAuBA,EAAE,WAAW,IAAIA,EAAE,qBAAqB,OAAOA,EAAE,YAAYA,EAAE,WAAW,IAAI,EAAEA,EAAE,gBAAgBA,EAAE,YAAY,IAAI,EAAEA,EAAE,cAAcM,CAAC,EAAEN,EAAE,kBAAkB,CAAC,EAAEiC,CAAC,CAAC,SAAS8tF,GAAG/vF,EAAE,CAAC,OAAOA,IAAI,EAAE,GAAG6wF,GAAG7wF,CAAC,EAAE,WAAW,IAAI,CAAC,SAAS+tF,GAAG/tF,EAAE,EAAE,CAAC,MAAM,QAAQA,CAAC,IAAIA,EAAE,CAACA,CAAC,GAAGA,EAAE,QAAQE,GAAG,CAACA,GAAG,MAAM4mB,EAAE,OAAO5mB,EAAE,QAAQ,YAAY,IAAI,GAAG,4DAA4D,CAAC,CAAC,CAAC,CAAC,IAAIkyF,GAAG33E,EAAE,EAAE23E,GAAG,aAAa,YAAY,IAAIA,GAAG,UAAU,eAAe,EAAE,CAAC,EAAEA,GAAG,aAAa,gBAAgB,IAAIpC,GAAG,CAAC,EAAE,EAAEA,GAAG,CAAC,EAAE,EAAE,CAAC,EAAEoC,GAAG,aAAa,iCAAiC,IAAI,EAAE,EAAEA,GAAG,aAAa,yBAAyB,IAAIA,GAAG,IAAI,eAAe,IAAI,CAAC,EAAEA,GAAG,aAAa,oBAAoB,IAAI,EAAE,EAAEA,GAAG,aAAa,2BAA2B,IAAI,EAAE,EAAEA,GAAG,aAAa,aAAa,IAAIA,GAAG,QAAQ,WAAW,CAAC,EAAEA,GAAG,aAAa,2BAA2B,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,kBAAkB,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,2BAA2B,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,+BAA+B,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,8BAA8B,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,8BAA8B,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,8BAA8B,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,oBAAoB,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,sBAAsB,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,oBAAoB,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,yBAAyB,IAAI1C,GAAG0C,GAAG,UAAU,eAAe,CAAC,CAAC,EAAEA,GAAG,aAAa,+BAA+B,IAAInD,GAAGmD,GAAG,UAAU,eAAe,CAAC,CAAC,EAAEA,GAAG,aAAa,+CAA+C,IAAI,CAAC,IAAIpyF,EAAEoyF,GAAG,UAAU,eAAe,EAAE,OAAOpyF,IAAI,EAAE,EAAEwvF,GAAGxvF,CAAC,CAAC,CAAC,EAAEoyF,GAAG,aAAa,gDAAgD,IAAIA,GAAG,UAAU,8CAA8C,EAAE,GAAG,CAAC9mE,GAAG,SAAS,CAAC,EAAE8mE,GAAG,aAAa,+BAA+B,IAAIxC,GAAGwC,GAAG,UAAU,eAAe,CAAC,CAAC,EAAEA,GAAG,aAAa,+BAA+B,IAAIA,GAAG,QAAQ,0BAA0B,EAAE,GAAGA,GAAG,QAAQ,8BAA8B,CAAC,EAAEA,GAAG,aAAa,+BAA+B,IAAIvC,GAAGuC,GAAG,UAAU,eAAe,CAAC,CAAC,EAAEA,GAAG,aAAa,0BAA0B,IAAIrC,GAAGqC,GAAG,UAAU,eAAe,CAAC,CAAC,EAAEA,GAAG,aAAa,4BAA4B,IAAIA,GAAG,QAAQ,8BAA8B,EAAE,EAAE,CAAC,EAAEA,GAAG,aAAa,iCAAiC,IAAI,GAAGpyF,GAAG,CAAC,GAAGA,EAAE,GAAGA,IAAI,GAAG,MAAM,IAAI,MAAM,8FAA8FA,IAAI,CAAC,CAAC,EAAEoyF,GAAG,aAAa,wBAAwB,IAAI9mE,GAAG,SAAS,EAAE,EAAE,GAAGtrB,GAAG,CAAC,GAAGA,EAAE,GAAGA,IAAI,GAAG,MAAM,IAAI,MAAM,2FAA2FA,IAAI,CAAC,CAAC,EAAEoyF,GAAG,aAAa,6BAA6B,IAAI,GAAG,EAAEA,GAAG,aAAa,4BAA4B,IAAI,EAAE,EAAEA,GAAG,aAAa,2CAA2C,IAAI,GAAG,EAAEA,GAAG,aAAa,+BAA+B,IAAI,GAAG,EAAEA,GAAG,aAAa,iBAAiB,IAAI,EAAE,EAAEA,GAAG,aAAa,yBAAyB,IAAIA,GAAG,QAAQ,SAAS,CAAC,EAAEA,GAAG,aAAa,oCAAoC,IAAI,EAAE,CAAC,EAAEA,GAAG,aAAa,2CAA2C,IAAI,EAAE,EAAEA,GAAG,aAAa,sBAAsB,IAAI,EAAE,EAAE,SAASC,IAAI,CAAC,IAAIryF,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAE,OAAOsY,EAAE,EAAE,UAAU,eAAe,IAAI,GAAGza,EAAE,kBAAkB,EAAE,KAAKE,EAAE,MAAMI,EAAE,KAAKC,EAAE,UAAU,EAAE,cAAc,EAAE,wBAAwB0B,EAAEwY,EAAE,EAAE,QAAQ,qBAAqB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAYnoU,GAAGvY,EAAE,GAAGC,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QASRnC,EAAE,GAAG,EAAE,YAAYE,EAAE,UAAUI,EAAE,UAAUC,EAAE,YAAY,EAAE,eAAe,EAAE,GAAG0B,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAQnFC,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MASFC,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,OAQD,CAAC,QAAQnC,EAAE,UAAU,EAAE,UAAUE,EAAE,UAAUI,EAAE,UAAUC,EAAE,OAAO,EAAE,aAAa,EAAE,iBAAiB0B,EAAE,iBAAiBC,EAAE,YAAYC,CAAC,CAAC,CAAC,SAASmwF,GAAGtyF,EAAE,EAAEE,EAAE,QAAQ,CAAC,IAAII,EAAEwmB,EAAE,eAAe,CAAC,EAAE,OAAOxmB,EAAE,IAAI,CAACC,EAAE,IAAI,CAAC,IAAI,EAAE,OAAOP,EAAE,QAAQE,OAAOK,IAAI0B,EAAE,IAAI3B,EAAE,OAAO,EAAE,OAAON,EAAE,EAAE,QAAQE,OAAOF,EAAE,QAAQO,IAAI,YAAYP,EAAE,QAAQO,IAAI,MAAM,GAAG,MAAM0B,IAAI,CAAC,EAAE,KAAK,EAAE,CAAC,CAAC,SAASswF,GAAGvyF,EAAE,EAAEE,EAAE,QAAQ,CAAC,IAAII,EAAEwmB,EAAE,eAAe,CAAC,EAAE,OAAOxmB,EAAE,IAAI,CAACC,EAAE,IAAI,CAAC,IAAI,EAAE,OAAOP,EAAE,QAAQE,uBAAuB,KAAK+B,EAAE,IAAI3B,EAAE,OAAO,EAAE,OAAON,EAAE,EAAE,QAAQE,OAAOF,EAAE,wBAAwB,KAAK,YAAYA,EAAE,wBAAwB,KAAK,MAAM,GAAG,MAAMiC,IAAI,CAAC,EAAE,KAAK,EAAE,CAAC,CAAC,SAASuwF,GAAIxyF,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,OAAOM,EAAEN,EAAE,IAAI,GAAG,GAAG,KAAK,IAAI,EAAEO,EAAE,IAAI,MAAML,EAAE,CAAC,EAAEK,EAAEL,EAAE,GAAGI,EAAEJ,EAAE,GAAG,QAAQ,EAAEA,EAAE,EAAE,GAAG,EAAE,EAAE,EAAEK,EAAE,GAAG,IAAIA,EAAE,EAAE,QAAQD,EAAE,EAAE,MAAM,OAAOC,CAAC,CAAC,SAASkyF,GAAGzyF,EAAE,EAAEE,EAAE,QAAQ,CAAC,IAAII,EAAEN,EAAE,IAAI,CAAC,EAAE,IAAI,CAAC,EAAEO,EAAEiyF,GAAIlyF,EAAE,CAAC,EAAE,OAAOC,EAAE,IAAI,CAAC,EAAE,IAAI,CAAC,IAAI0B,EAAE,OAAOjC,EAAE,QAAQE,OAAOK,EAAE,KAAK2B,EAAE,IAAI3B,EAAE,OAAO,EAAE,OAAOP,EAAE,EAAE,QAAQE,OAAOF,EAAE,QAAQO,EAAE,KAAK,YAAYP,EAAE,QAAQO,EAAE,KAAK,MAAM,GAAG0B,MAAMC,IAAI,CAAC,EAAE,KAAK,EAAE,CAAC,CAAC,SAASwwF,GAAG1yF,EAAE,CAAC,IAAI,EAAE8mB,EAAE,eAAe9mB,CAAC,EAAE,IAAIE,GAAGA,EAAE,SAAS,CAAC,EAAE,MAAM;AAAA;AAAA,wBAEhjC,EAAE,mBAAmB,EAAE;AAAA;AAAA,CAE9C,CAAC,SAASyyF,IAAI,CAAC,MAAM;AAAA;AAAA;AAAA;AAAA,CAIrB,CAAC,IAAIC,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAuCJ,CAAC,iBAAiBC,EAAE,EAAEr4C,EAAE,SAASs4C,GAAG9yF,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,CAAC,EAAE,GAAGN,EAAE,QAAQ+C,GAAG,CAAC,IAAIC,EAAE8jB,EAAE,cAAc/jB,EAAE,UAAU,YAAY,EAAE,GAAGA,EAAE,UAAU,UAAUzC,EAAE,KAAK,iBAAiByC,EAAE,OAAOC,EAAE,EAAE,IAAIA,KAAK,KAAK,GAAG1C,EAAE,KAAK,qBAAqByC,EAAE,OAAO,EAAEzC,EAAE,KAAK,qBAAqByC,EAAE,OAAO,GAAG7C,EAAE,oBAAoB,CAAC,GAAG,CAAC,aAAagE,CAAC,EAAE6uF,GAAG7yF,EAAE,aAAa6C,EAAE,UAAU,aAAaA,EAAE,UAAU,QAAQ,EAAE,OAAOmB,EAAE,OAAO,CAAC,IAAK,GAAE5D,EAAE,KAAK,eAAeyC,EAAE,YAAY,EAAE,MAAM,IAAK,GAAEzC,EAAE,KAAK,iBAAiByC,EAAE,YAAY,EAAE,MAAM,IAAK,GAAEzC,EAAE,KAAK,iBAAiByC,EAAE,YAAY,EAAE,MAAM,IAAK,GAAEzC,EAAE,KAAK,iBAAiByC,EAAE,YAAY,EAAE,MAAM,QAAQ,KAAK,CAACzC,EAAE,KAAK,iBAAiByC,EAAE,eAAe,CAAC,CAAC,CAAC,EAAE7C,EAAE,oBAAoB,CAAC,OAAO,EAAE,aAAa,OAAO,CAAC,IAAK,GAAEI,EAAE,KAAK,uBAAuB,EAAE,MAAM,IAAK,GAAEA,EAAE,KAAK,yBAAyB,EAAEA,EAAE,KAAK,8BAA8B,EAAE,MAAM,IAAK,GAAEA,EAAE,KAAK,yBAAyB,EAAEA,EAAE,KAAK,gCAAgC,EAAE,MAAM,IAAK,GAAEA,EAAE,KAAK,yBAAyB,EAAEA,EAAE,KAAK,gCAAgC,EAAE,MAAM,QAAQ,KAAK,CAACA,EAAE,KAAK,4BAA4B,CAAC,CAACJ,EAAE,gBAAgBA,EAAE,eAAe,QAAQ6C,GAAG,CAACzC,EAAE,KAAK,WAAWyC,EAAE,QAAQA,EAAE,OAAOA,EAAE,WAAW,IAAIA,EAAE,cAAc,KAAK,CAAC,CAAC,EAAE,IAAIxC,EAAED,EAAE,KAAK;AAAA,CACxsC,EAAE,EAAEN,EAAE,IAAI+C,GAAGiwF,GAAIjwF,EAAE,EAAE7C,EAAE,aAAaA,EAAE,mBAAmB,CAAC,EAAE,KAAK;AAAA,CACjE,EAAE,EAAE,EAAE,SAAS+B,EAAEowF,GAAG,EAAEnwF,EAAE+wF,GAAIhxF,CAAC,EAAEE,EAAES,EAAEC,EAAEqwF,GAAIjxF,CAAC,EAAE,OAAO,EAAE,UAAUE,EAAEgxF,GAAI,EAAE,aAAa,EAAEjzF,EAAE,mBAAmB,EAAE0C,EAAEwwF,GAAInxF,CAAC,IAAIE,EAAEkxF,GAAI,EAAE,aAAa,EAAEnzF,EAAE,mBAAmB,EAAE0C,EAAE0wF,GAAIrxF,CAAC,GAAG/B,EAAE,eAAe2C,GAAG0wF,IAAK,CAAC1wF,EAAEX,EAAEU,EAAErC,EAAE4B,EAAE,EAAEjC,EAAE,QAAQ,EAAE,KAAK;AAAA,CACvO,CAAC,CAAC,SAASszF,GAAGxzF,EAAE,EAAE,GAAG,CAAC,IAAIE,EAAEF,EAAE,UAAU,aAAa,OAAOE,EAAE,OAAO,CAAC,IAAK,GAAE,OAAOuzF,GAAIzzF,EAAE,CAAC,EAAE,IAAK,GAAE,OAAO0zF,GAAI1zF,EAAE,CAAC,EAAE,IAAK,GAAE,OAAO2zF,GAAI3zF,EAAE,CAAC,EAAE,IAAK,GAAE,OAAO4zF,GAAI5zF,EAAE,CAAC,EAAE,IAAK,GAAE,OAAO6zF,GAAI7zF,EAAE,CAAC,EAAE,IAAK,GAAE,OAAO8zF,GAAI9zF,CAAC,EAAE,IAAK,GAAE,OAAO+zF,GAAI/zF,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,GAAGE,EAAE,8CAA8C,CAAC,CAAC,CAAC,SAAS8zF,GAAGh0F,EAAE,EAAE,CAAC,OAAOA,EAAE,UAAU,aAAa,OAAO,CAAC,IAAK,GAAE,OAAOi0F,GAAIj0F,CAAC,EAAE,IAAK,GAAE,OAAOk0F,GAAIl0F,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOm0F,GAAIn0F,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOo0F,GAAIp0F,EAAE,CAAC,EAAE,QAAQ,OAAOq0F,GAAIr0F,EAAE,CAAC,CAAC,CAAC,CAAC,SAASgzF,GAAIhzF,EAAE,EAAEE,EAAE,GAAGI,EAAE,CAAC,IAAIC,EAAE,GAAGL,EAAEK,GAAGyzF,GAAGh0F,EAAEM,CAAC,EAAEC,GAAGizF,GAAGxzF,EAAEM,CAAC,EAAE,IAAI,EAAEN,EAAE,UAAU,aAAa,EAAE,EAAE,aAAa,OAAO,EAAE,QAAQ,EAAE,SAASE,EAAEK,GAAG+zF,GAAIt0F,EAAE,CAAC,EAAEO,GAAGg0F,GAAIv0F,EAAE,CAAC,GAAGO,CAAC,CAAC,SAAS4yF,GAAInzF,EAAE,EAAEE,EAAE,CAAC,OAAOF,EAAE,OAAO,CAAC,IAAK,GAAE,OAAOw0F,GAAG,EAAE,IAAK,GAAE,OAAOC,GAAIz0F,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOw0F,GAAI10F,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOy0F,GAAI30F,EAAE,EAAEE,CAAC,EAAE,QAAQ,OAAO00F,GAAI50F,EAAE,EAAEE,CAAC,CAAC,CAAC,CAAC,SAASmzF,GAAIrzF,EAAE,EAAEE,EAAE,CAAC,OAAOF,EAAE,OAAO,CAAC,IAAK,GAAE,OAAOw0F,GAAG,EAAE,IAAK,GAAE,OAAOK,GAAI70F,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAO40F,GAAI90F,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAO60F,GAAI/0F,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAO80F,GAAIh1F,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAO+0F,GAAIj1F,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOk1F,GAAIl1F,EAAE,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,GAAGA,EAAE,+CAA+C,CAAC,CAAC,CAAC,SAASizF,GAAIjzF,EAAE,CAAC,MAAM;AAAA;AAAA,eAE/jCA,EAAE;AAAA;AAAA,GAEd,CAAC,SAASszF,GAAItzF,EAAE,CAAC,MAAM;AAAA;AAAA,QAElBA,EAAE;AAAA;AAAA,GAEP,CAAC,SAASozF,GAAIpzF,EAAE,CAAC,MAAM;AAAA;AAAA,QAElBA,EAAE;AAAA;AAAA,GAEP,CAAC,SAASkzF,GAAIlzF,EAAE,CAAC,MAAM,GAAGA,EAAE;AAAA;AAAA;AAAA;AAAA,MAIzBA,EAAE;AAAA,MACFA,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAuBFA,EAAE;AAAA,MACFA,EAAE;AAAA,MACFA,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAyBFm1F;AAAA,MACAC;AAAA,MACAC;AAAA,GACH,CAAC,IAAIF,GAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAYVC,GAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQJC,GAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EASJ9B,GAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAWJ,SAASiB,IAAI,CAAC,MAAM;AAAA;AAAA;AAAA;AAAA,GAInB,CAAC,SAASC,GAAIz0F,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,CAAC,KAAK,KAAK,EAAE,GAAG,CAAC,EAAE,KAAK,KAAK,EAAE,GAAG,CAAC,CAAC,EAAE,OAAOA,EAAE,KAAK,EAAEJ,EAAE;AAAA;AAAA;AAAA;AAAA,MAIhF;AAAA;AAAA,sCAEgCI,EAAE;AAAA;AAAA,MAElCA,EAAE,KAAK,EAAEJ,EAAE;AAAA;AAAA;AAAA;AAAA,MAIX;AAAA;AAAA,sCAEgCI,EAAE;AAAA;AAAA,MAElCJ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IAOJ;AAAA;AAAA;AAAA,oCAGgCI,EAAE,OAAOA,EAAE;AAAA,iCACdA,EAAE;AAAA;AAAA,GAEhC,CAAC,SAASu0F,GAAI70F,EAAE,EAAEE,EAAE,CAAC,OAAO,EAAE,KAAK,EAAEA,EAAE;AAAA;AAAA;AAAA;AAAA,MAIpC;AAAA;AAAA,kCAE4B,EAAE;AAAA;AAAA,MAE9B,EAAE,KAAK,EAAEA,EAAE;AAAA;AAAA;AAAA;AAAA,MAIX;AAAA;AAAA,kCAE4B,EAAE;AAAA;AAAA,MAE9BA,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IAMJ;AAAA;AAAA;AAAA,oCAGgC,EAAE,OAAO,EAAE;AAAA,4BACnB,EAAE;AAAA;AAAA,GAE3B,CAAC,SAASy0F,GAAI30F,EAAE,EAAEE,EAAE,CAAC,GAAGA,EAAE,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IAiB/B,IAAII,EAAE,CAAC,KAAK,KAAK,EAAE,GAAG,CAAC,EAAE,KAAK,KAAK,EAAE,GAAG,CAAC,CAAC,EAAEC,EAAE,KAAK,KAAKP,EAAE,GAAG,CAAC,EAAE,EAAEO,EAAE,KAAK,KAAKP,EAAE,GAAG,CAAC,EAAE,MAAM;AAAA;AAAA;AAAA,oCAG5DM,EAAE,OAAOA,EAAE;AAAA,iCACdA,EAAE;AAAA;AAAA,wBAEX;AAAA,qBACH;AAAA;AAAA,6BAEQC;AAAA,4BACDA;AAAA;AAAA;AAAA;AAAA,GAIzB,CAAC,SAASw0F,GAAI/0F,EAAE,EAAEE,EAAE,CAAC,GAAGA,EAAE,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA,MAK7BqyF,GAAG,CAAC,IAAI,IAAI,GAAG,EAAEvyF,CAAC;AAAA;AAAA;AAAA,EAGtB,IAAIM,EAAEgyF,GAAG,CAAC,IAAI,IAAI,GAAG,EAAEtyF,CAAC,EAAE,MAAM;AAAA;AAAA;AAAA,oCAGE,EAAE,OAAO,EAAE;AAAA,iCACd,EAAE;AAAA,QAC3BM;AAAA;AAAA;AAAA,GAGL,CAAC,SAASs0F,GAAI50F,EAAE,EAAEE,EAAE,CAAC,GAAGA,EAAE,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IAsB/B,IAAII,EAAE,CAAC,KAAK,KAAK,EAAE,GAAG,CAAC,EAAE,KAAK,KAAK,EAAE,GAAG,CAAC,CAAC,EAAEC,EAAE,KAAK,KAAKP,EAAEA,EAAE,OAAO,GAAG,CAAC,EAAE,EAAEO,EAAE,KAAK,KAAKP,EAAEA,EAAE,OAAO,GAAG,CAAC,EAAE,EAAE,EAAEiC,EAAE,GAAGC,EAAE,UAAU,QAAQC,EAAE,EAAEA,EAAEnC,EAAE,OAAO,EAAEmC,IAAI,GAAGnC,EAAEA,EAAE,OAAOmC,EAAE,GAAGF,EAAE;AAAA,aACtKE,eAAe;AAAA,kBACVA,OAAO;AAAA,MACnBF,EAAEC,EAAE,IAAIC,MAAMD,EAAE,MAAM;AAAA,UAClBlC,EAAE;AAAA;AAAA,oCAEwBM,EAAE,OAAOA,EAAE;AAAA,iCACdA,EAAE;AAAA;AAAA,QAE3B2B;AAAA;AAAA,wBAEgB;AAAA,qBACH;AAAA;AAAA,6BAEQ1B;AAAA,4BACDA;AAAA;AAAA,mBAETP,EAAE,UAAUkC;AAAA;AAAA,GAE5B,CAAC,SAAS8yF,GAAIh1F,EAAE,EAAEE,EAAE,CAAC,GAAGA,EAAE,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA,QAK3BqyF,GAAG,CAAC,IAAI,IAAI,IAAI,IAAI,EAAEvyF,CAAC;AAAA;AAAA;AAAA,IAG3B,IAAIM,EAAEgyF,GAAG,CAAC,IAAI,IAAI,IAAI,IAAI,EAAEtyF,CAAC,EAAE,MAAM;AAAA;AAAA;AAAA,eAG1B,EAAE,OAAO,EAAE;AAAA,iCACO,EAAE;AAAA,QAC3BM;AAAA;AAAA;AAAA,GAGL,CAAC,SAAS20F,GAAIj1F,EAAE,EAAE,CAAC,IAAIE,EAAEoyF,GAAG,CAAC,IAAI,IAAI,IAAI,KAAK,IAAI,EAAEtyF,CAAC,EAAE,MAAM;AAAA;AAAA,kDAEd,EAAE;AAAA,+BACrB,EAAE;AAAA;AAAA,iCAEA,EAAE;AAAA;AAAA,QAE3BE;AAAA;AAAA;AAAA;AAAA;AAAA,GAKL,CAAC,SAASg1F,GAAIl1F,EAAE,EAAE,CAAC,IAAIE,EAAEoyF,GAAG,CAAC,IAAI,IAAI,IAAI,KAAK,KAAK,IAAI,EAAEtyF,CAAC,EAAE,MAAM;AAAA;AAAA;AAAA,eAGtD,EAAE,OAAO,EAAE;AAAA,iCACO,EAAE;AAAA;AAAA,QAE3BE;AAAA;AAAA;AAAA;AAAA;AAAA,GAKL,CAAC,SAASw0F,GAAI10F,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,CAAC,KAAK,KAAK,EAAE,GAAG,CAAC,EAAE,KAAK,KAAK,EAAE,GAAG,CAAC,CAAC,EAAE,GAAGwmB,EAAE,YAAY9mB,EAAE,CAAC,EAAE,OAAOE,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,MAK7F;AAAA;AAAA,8CAEwCI,EAAE,OAAOA,EAAE;AAAA;AAAA,MAEnD,IAAIC,EAAE,KAAK,KAAKP,EAAE,GAAG,CAAC,EAAE,OAAOE,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IAanC;AAAA;AAAA;AAAA,oCAGgCI,EAAE,OAAOA,EAAE;AAAA;AAAA,iCAEdA,EAAE;AAAA,6BACNC;AAAA,4BACDA;AAAA;AAAA;AAAA;AAAA,GAIzB,CAAC,SAASu0F,GAAI90F,EAAE,EAAEE,EAAE,CAAC,OAAO4mB,EAAE,YAAY9mB,EAAE,CAAC,EAAEE,EAAE;AAAA;AAAA;AAAA;AAAA,MAI9C;AAAA;AAAA,0CAEoC,EAAE,OAAO,EAAE;AAAA;AAAA,MAE/CF,EAAE,KAAK,EAAEE,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAOX;AAAA;AAAA;AAAA,sCAGgC,EAAE,OAAO,EAAE;AAAA,mCACd,EAAE;AAAA;AAAA;AAAA,MAG/BF,EAAE,KAAK,EAAEE,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAOX;AAAA;AAAA;AAAA,sCAGgC,EAAE,OAAO,EAAE;AAAA,mCACd,EAAE;AAAA;AAAA;AAAA,MAG/BA,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IASJ;AAAA;AAAA;AAAA,oCAGgC,EAAE,OAAO,EAAE;AAAA,iCACd,EAAE;AAAA,wBACXF,EAAE;AAAA,4BACEA,EAAE;AAAA;AAAA;AAAA,GAG3B,CAAC,SAASs1F,GAAGt1F,EAAE,CAAC,MAAM,SAASA,GAAG,CAAC,SAASi0F,GAAIj0F,EAAE,CAAC,IAAI,EAAEA,EAAE,KAAKE,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE,YAAY,EAAE,EAAE,MAAM,CAAC,EAAEI,EAAE+xF,GAAG,EAAE,MAAM;AAAA,WAClHnyF;AAAA,eACII,EAAE,aAAa;AAAA;AAAA,GAE3B,CAAC,SAASmzF,GAAIzzF,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,KAAKM,EAAE,MAAMJ,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,GAAGF,EAAE,UAAU,UAAU,MAAM,SAASM,eAAeJ,MAAM,GAAG,CAACK,EAAE,CAAC,EAAEP,EAAE,UAAU,SAAS,GAAGO,IAAI,GAAG,IAAI,EAAE,MAAM;AAAA,cACnLD;AAAA,+BACiBJ;AAAA;AAAA,MAEzB,IAAI,EAAEo1F,GAAGp1F,CAAC,EAAE,GAAG,EAAE,MAAM;AAAA,YACjBI;AAAA,6BACiBJ,iBAAiBA,iBAAiB;AAAA,6BAClCA;AAAA;AAAA,IAEzB,GAAG,CAAC+B,EAAEC,CAAC,EAAElC,EAAE,UAAU,SAAS,MAAM;AAAA,YAC5BM;AAAA,6BACiB2B,MAAMC,MAAM;AAAA,6BACZhC;AAAA;AAAA,GAE1B,CAAC,SAASg0F,GAAIl0F,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,KAAKM,EAAE,MAAMJ,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAEK,EAAEP,EAAE,UAAU,SAAS,EAAEqyF,GAAG,EAAE,GAAG,EAAE,MAAM;AAAA,WAC9G/xF;AAAA,gDACqCJ,oCAAoCA;AAAA;AAAA;AAAA,eAGrE,EAAE,aAAaA;AAAA;AAAA,IAE1B,IAAI,EAAE,CAAC,KAAK,KAAKK,EAAE,GAAG,CAAC,EAAE,KAAK,KAAKA,EAAE,GAAG,CAAC,CAAC,EAAE,MAAM;AAAA,WAC3CD;AAAA;AAAA,UAED,EAAE,OAAO,EAAE;AAAA,eACN,EAAE,aAAaJ;AAAA;AAAA,GAE3B,CAAC,SAASwzF,GAAI1zF,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,KAAKM,EAAE,MAAMJ,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,GAAGF,EAAE,UAAU,UAAU,MAAM;AAAA,cACjGM;AAAA,UACJi1F,GAAGv1F,CAAC;AAAA;AAAA,MAER,IAAIO,EAAEP,EAAE,UAAU,SAAS,EAAEO,EAAE,GAAG,EAAEA,EAAE,GAAG,GAAG,IAAI,GAAG,IAAI,EAAE,MAAM;AAAA,cACvDD;AAAA,+BACiBJ;AAAA;AAAA,MAEzB,IAAI+B,EAAEqzF,GAAGp1F,CAAC,EAAE,OAAO,IAAI,EAAE,EAAE;AAAA,cACnBI;AAAA,6CAC+B2B,qBAAqB/B;AAAA,+BACnCA;AAAA;AAAA,MAEzB;AAAA,cACQI;AAAA,6CAC+B2B,eAAe;AAAA,+BAC7B/B;AAAA;AAAA,MAEzB,IAAI,EAAE,EAAE;AAAA,cACAI;AAAA,wCAC0B2B,qBAAqB/B;AAAA,+BAC9BA;AAAA;AAAA,MAEzB;AAAA,cACQI;AAAA,wCAC0B2B,eAAe;AAAA,+BACxB/B;AAAA;AAAA,MAEzB,EAAE;AAAA,YACII;AAAA,6BACiBJ,iBAAiBA,yBAAyB+B;AAAA,6BAC1C/B;AAAA;AAAA,IAEzB;AAAA,YACQI;AAAA,6BACiB,MAAM,cAAc2B;AAAA,6BACpB/B;AAAA;AAAA,GAE1B,CAAC,SAASi0F,GAAIn0F,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,UAAU,aAAaM,EAAEN,EAAE,KAAKO,EAAE,MAAMD,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAEN,EAAE,UAAU,SAAS,EAAE,EAAE,GAAGiC,EAAE,EAAE,GAAGC,EAAEmwF,GAAG,EAAE,GAAG,GAAG,MAAMvrE,EAAE,YAAY5mB,EAAE,CAAC,EAAE,OAAO,EAAE;AAAA,aAClLK;AAAA,qDACwCD,iBAAiBA;AAAA;AAAA,iBAErD4B,EAAE,aAAa5B;AAAA;AAAA,MAE1B;AAAA,aACOC;AAAA,qDACwC0B,QAAQ;AAAA;AAAA,iBAE5CC,EAAE,aAAa5B;AAAA;AAAA,MAE1B,GAAG,EAAE,MAAM;AAAA,WACNC;AAAA,gDACqCD,oCAAoCA;AAAA,0CAC1CA;AAAA;AAAA,eAE3B4B,EAAE,aAAa5B;AAAA;AAAA,IAE1B,IAAI6B,EAAE,CAAC,KAAK,KAAK,EAAE,GAAG,CAAC,EAAE,KAAK,KAAK,EAAE,GAAG,CAAC,CAAC,EAAES,EAAE,KAAK,KAAK1C,EAAE,GAAG,CAAC,EAAE,MAAM;AAAA,WAC/DK;AAAA,iCACsBqC,MAAMT,EAAE,OAAOA,EAAE;AAAA,eACnCD,EAAE,aAAa5B;AAAA;AAAA,GAE3B,CAAC,SAASqzF,GAAI3zF,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,UAAU,aAAaM,EAAEN,EAAE,KAAKO,EAAE,MAAMD,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAEN,EAAE,UAAU,SAAS,GAAG,GAAG,MAAM8mB,EAAE,YAAY5mB,EAAE,CAAC,EAAE,CAAC,GAAG,EAAE,MAAM;AAAA,cAC/JK;AAAA,qDACuCD,iBAAiBA;AAAA,+BACvCA;AAAA;AAAA,MAEzB,IAAIwC,EAAE,EAAE,GAAGC,EAAE,EAAE,GAAG,MAAM;AAAA,YAClBxC;AAAA,mDACuCwC,QAAQD;AAAA,6BAC9BxC;AAAA;AAAA,GAE1B,CAAC,GAAG,CAAC,SAAS,EAAE,SAAS2B,CAAC,EAAE6kB,EAAE,aAAa5mB,CAAC,EAAEgC,EAAE,EAAE,GAAGA,EAAE,OAAOhC,EAAE,OAAO,CAAC,IAAI4C,EAAE0yF,GAAGx1F,EAAEkC,CAAC,EAAEa,EAAE,CAAC,MAAM,KAAK,EAAE,MAAM;AAAA,QACvGywF,GAAG1wF,EAAE,CAAC;AAAA,cACAvC;AAAA,iBACGA,KAAKk1F,GAAG1yF,EAAEd,CAAC;AAAA;AAAA,KAEvB,CAAC,GAAGjC,EAAE,UAAU,UAAU,MAAM;AAAA,cACvBO;AAAA,qDACuCL,EAAE;AAAA,UAC7Cq1F,GAAGv1F,CAAC;AAAA;AAAA,MAER,IAAImC,EAAE,EAAE,GAAGS,EAAE,EAAE,GAAGC,EAAEyyF,GAAGh1F,CAAC,EAAE,OAAOsC,IAAI,EAAE,EAAE;AAAA,cACjCrC;AAAA,2CAC6BsC,YAAYvC;AAAA,oDACHA;AAAA,+BACrBA;AAAA;AAAA,MAEzB;AAAA,YACMC;AAAA,yCAC6BsC,YAAY3C,EAAE;AAAA,4CACXiC;AAAA,6BACf7B;AAAA;AAAA,IAEzB6B,IAAI,EAAE,EAAE;AAAA,cACE5B;AAAA,2CAC6BsC,YAAYvC;AAAA,+CACRA;AAAA,+BAChBA;AAAA;AAAA,MAEzB;AAAA,YACMC;AAAA,yCAC6BsC,YAAY3C,EAAE;AAAA,uCAChB0C;AAAA,6BACVtC;AAAA;AAAA,IAEzB,EAAE;AAAA,cACQC;AAAA;AAAA,4BAEcD,qBAAqBuC;AAAA,+BAClBvC,iBAAiBA;AAAA,+BACjBA;AAAA;AAAA,MAEzB;AAAA,UACIC;AAAA;AAAA,wBAEcL,EAAE,cAAc2C;AAAA,2BACbV,MAAMS;AAAA,2BACNtC;AAAA;AAAA,CAE1B,CAAC,SAAS8zF,GAAIp0F,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,UAAU,aAAaM,EAAEN,EAAE,KAAKO,EAAE,MAAMD,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAEN,EAAE,UAAU,SAAS,EAAE,CAAC,KAAK,KAAK,EAAE,GAAG,CAAC,EAAE,KAAK,KAAK,EAAE,GAAG,CAAC,CAAC,EAAE,GAAGE,EAAE,KAAK,EAAE,CAAC,IAAI4C,EAAE5C,EAAE,MAAM,CAAC,EAAE6C,EAAE,CAAC,EAAE,CAAC,EAAEC,EAAEwyF,GAAGx1F,EAAE8C,CAAC,EAAEoB,EAAE,CAAC,IAAI,MAAM,KAAK,EAAE,MAAM;AAAA,UACxO8vF,GAAGhxF,EAAE,CAAC;AAAA,eACDzC;AAAA,mBACIA,KAAKk1F,GAAGvxF,EAAEnB,CAAC;AAAA;AAAA,OAEvB,CAAC,IAAId,EAAEowF,GAAG,EAAE,GAAG,EAAE,MAAM;AAAA,WACnB9xF;AAAA,gDACqCD,oCAAoCA;AAAA,0CAC1CA;AAAA,0DACgBA;AAAA;AAAA;AAAA,eAG3C2B,EAAE,aAAa3B;AAAA;AAAA,IAE1B,IAAI4B,EAAE,EAAE,GAAGC,EAAE,EAAE,GAAGS,EAAE,KAAK,KAAK1C,EAAE,GAAG,CAAC,EAAE2C,EAAED,EAAE,KAAK,KAAK1C,EAAE,GAAG,CAAC,EAAE,MAAM;AAAA,WAC3DK;AAAA;AAAA,UAED2B,MAAMC,MAAMU,MAAMD;AAAA,eACbX,EAAE,aAAa3B;AAAA;AAAA,GAE3B,CAAC,SAASszF,GAAI5zF,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,UAAU,aAAaM,EAAEN,EAAE,KAAKO,EAAE,MAAMD,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAEJ,EAAE,GAAGA,EAAE,GAAG,EAAEA,EAAE,GAAG,CAAC,SAAS+B,EAAE,SAASC,CAAC,EAAE4kB,EAAE,aAAa5mB,CAAC,EAAEiC,EAAEF,EAAE,GAAGE,EAAE,OAAOjC,EAAE,OAAO,CAAC,IAAIgE,EAAEsxF,GAAGx1F,EAAEmC,CAAC,EAAE,EAAE,CAAC,MAAM,MAAM,OAAO,EAAE,MAAM;AAAA,UACpOqxF,GAAGtvF,EAAE,CAAC;AAAA,gBACA3D;AAAA,mBACGA,KAAKk1F,GAAG,EAAEvzF,CAAC;AAAA;AAAA,OAEvB,CAAC,GAAGlC,EAAE,UAAU,UAAU,MAAM;AAAA,cACzBO;AAAA;AAAA,iCAEmB,MAAM;AAAA,UAC7Bg1F,GAAGv1F,CAAC;AAAA;AAAA,MAER,IAAI4C,EAAE5C,EAAE,UAAU,SAAS6C,EAAED,EAAE,GAAGE,EAAEF,EAAE,GAAGG,EAAE/C,EAAE,UAAU,WAAW,GAAG8C,IAAI,GAAGC,GAAG,KAAK,OAAO,EAAE;AAAA,cACrFxC;AAAA,wBACUD;AAAA;AAAA;AAAA;AAAA,0BAIEA,iBAAiBA;AAAA,+BACZA;AAAA;AAAA,MAEzB;AAAA,gBACUC;AAAA;AAAA,oDAEoC;AAAA;AAAA,4BAExBuC,QAAQD;AAAA,iCACHvC;AAAA;AAAA,QAEzB,GAAGwC,IAAI,GAAGC,GAAG,KAAK,OAAO,EAAE;AAAA,cACrBxC;AAAA,gDACkCD;AAAA;AAAA,uDAEOA,iBAAiBA;AAAA,+BACzCA;AAAA;AAAA,MAEzB;AAAA,YACMC;AAAA,8CACkCL,EAAE;AAAA;AAAA,qDAEK4C,QAAQD;AAAA,6BAChCvC;AAAA;AAAA,IAEzB,IAAI0C,EAAEsyF,GAAGh1F,CAAC,EAAE,OAAO,EAAE;AAAA,YACbC;AAAA;AAAA,sBAEUD,eAAeA;AAAA,sBACfA;AAAA,4DACsC0C;AAAA,6BAC/B1C,iBAAiBA;AAAA,6BACjBA;AAAA;AAAA,MAEvB;AAAA,cACQC;AAAA;AAAA,4BAEc,aAAa,eAAeyC;AAAA,+BACzBH,MAAMC;AAAA,+BACNxC;AAAA;AAAA,GAE5B,CAAC,SAAS+zF,GAAIr0F,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,KAAKM,EAAE,MAAMJ,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAEK,EAAE8xF,GAAG,EAAE,GAAG,EAAE,MAAM;AAAA,WACvF/xF;AAAA,0CAC+BJ;AAAA,0DACgBA;AAAA;AAAA,yBAEjCA;AAAA;AAAA,gDAEuBA,oCAAoCA;AAAA;AAAA;AAAA,mGAGeK,EAAE,aAAaL;AAAA;AAAA,IAE9G,IAAI,EAAEF,EAAE,UAAU,aAAa,EAAE,EAAE,OAAOiC,EAAEjC,EAAE,UAAU,SAASkC,EAAE,CAAC,KAAK,KAAKD,EAAE,GAAG,CAAC,EAAE,KAAK,KAAKA,EAAE,GAAG,CAAC,CAAC,EAAEE,EAAED,EAAE,GAAGU,EAAEV,EAAE,GAAGW,EAAE,KAAK,KAAK,EAAE,EAAE,GAAG,CAAC,EAAEC,EAAED,EAAE,KAAK,KAAK,EAAE,EAAE,GAAG,CAAC,EAAEE,EAAE,0BAA0BC,EAAE,OAAOF,mBAAmBD,gBAAgB,QAAQqB,EAAE,EAAEA,EAAE,EAAE,EAAEA,IAAInB,EAAE,QAAQmB,MAAMnB,EAAED,GAAG,EAAE,EAAEoB,EAAE,GAAGlB,EAAE,IAAIkB,OAAOpB,OAAOE,EAAE,MAAM;AAAA,WACtT1C,KAAKyC;AAAA,oBACIC;AAAA,2BACOJ;AAAA,kCACOA;AAAA,qDACmBA,MAAMT;AAAA,eAC5C5B,EAAE,aAAaL;AAAA;AAAA,GAE3B,CAAC,SAAS2zF,GAAI7zF,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,UAAU,aAAaM,EAAEN,EAAE,KAAKO,EAAE,MAAMD,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAEJ,EAAE,GAAG,EAAEA,EAAE,GAAG,EAAE+B,EAAE/B,EAAE,GAAG,EAAE,CAAC,SAASgC,EAAE,SAASC,CAAC,EAAE2kB,EAAE,aAAa5mB,CAAC,EAAE,GAAGgC,EAAE,OAAOhC,EAAE,OAAO,CAAC,IAAI6E,EAAEywF,GAAGx1F,EAAEkC,CAAC,EAAEyC,EAAE,CAAC,MAAM,MAAM,QAAQ,QAAQ,EAAE,MAAM;AAAA,QACjP6uF,GAAGzuF,EAAE,CAAC;AAAA,cACAxE;AAAA,iBACGA,KAAKk1F,GAAG9wF,EAAExC,CAAC;AAAA;AAAA,KAEvB,CAAC,GAAGnC,EAAE,UAAU,UAAU,MAAM;AAAA,cACvBO;AAAA;AAAA,iCAEmB0B,MAAM,MAAM;AAAA,UACnCszF,GAAGv1F,CAAC;AAAA;AAAA,MAER,IAAI4C,EAAE5C,EAAE,UAAU,WAAW6C,EAAE7C,EAAE,UAAU,SAAS8C,EAAED,EAAE,GAAGE,EAAEF,EAAE,GAAGG,EAAE,iBAAiB1C,aAAa4D,EAAE,iBAAiB5D,uBAAuB,EAAE,iBAAiBA,uBAAuB,GAAGyC,IAAId,GAAGW,GAAG,KAAK,OAAO,EAAE;AAAA,cACzMrC;AAAA,UACJyC;AAAA,UACAkB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0BAMgB5D,iBAAiBA;AAAA,+BACZA;AAAA;AAAA,MAEzB;AAAA,cACQC;AAAA;AAAA;AAAA;AAAA,uBAIS,MAAM;AAAA;AAAA,0BAEHwC,QAAQD;AAAA,+BACHxC;AAAA;AAAA,MAEzB,GAAGyC,IAAI,GAAGH,GAAG,KAAK,OAAO,EAAE;AAAA,cACnBrC;AAAA;AAAA,gCAEkBD,eAAeA,cAAcA;AAAA;AAAA;AAAA,yBAGpCA,iBAAiBA;AAAA,+BACXA;AAAA;AAAA,MAEzB;AAAA,cACQC;AAAA;AAAA,gCAEkBL,EAAE,GAAGA,EAAE,OAAOA,EAAE;AAAA;AAAA;AAAA,yBAGvB6C,QAAQD;AAAA,+BACFxC;AAAA;AAAA,MAEzB,IAAIiH,EAAE+tF,GAAGh1F,CAAC,EAAE,OAAO,EAAE;AAAA,YACfC;AAAA;AAAA,QAEJyC;AAAA,QACAkB;AAAA,QACA;AAAA;AAAA;AAAA,6BAGqB5D,iBAAiBA,yBAAyBiH;AAAA,6BAC1CjH;AAAA;AAAA,IAEzB;AAAA,YACQC;AAAA;AAAA,0BAEc0B,aAAa;AAAA,oBACnB;AAAA,6BACSa,MAAMC,cAAcwE;AAAA,6BACpBjH;AAAA;AAAA,GAE1B,CAAC,SAASwzF,GAAI9zF,EAAE,CAAC,IAAI,EAAEA,EAAE,UAAU,aAAaE,EAAEF,EAAE,KAAKM,EAAE,MAAMJ,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAEK,EAAE,EAAE,GAAG,EAAE,EAAE,GAAGA,EAAE,EAAE,EAAE,GAAG,EAAE0B,EAAE,EAAE,GAAG,EAAE,CAAC,SAASC,EAAE,SAASC,CAAC,EAAE2kB,EAAE,aAAa,CAAC,EAAE,GAAG5kB,EAAE,OAAO,EAAE,OAAO,CAAC,IAAIgC,EAAEsxF,GAAGx1F,EAAEkC,CAAC,EAAE,EAAE,CAAC,MAAM,MAAM,QAAQ,SAAS,QAAQ,EAAE,MAAM;AAAA,QACjQsxF,GAAGtvF,CAAC;AAAA,cACE5D;AAAA,iBACGA,KAAKm1F,GAAG,EAAEtzF,CAAC;AAAA;AAAA,KAEvB,CAAC,GAAGnC,EAAE,UAAU,UAAU,MAAM;AAAA,cACvBM;AAAA;AAAA;AAAA,iBAGG2B,MAAM,MAAM,MAAM1B;AAAA;AAAA,UAEzBg1F,GAAGv1F,CAAC;AAAA;AAAA,MAER,IAAI4C,EAAE5C,EAAE,UAAU,WAAW6C,EAAE7C,EAAE,UAAU,SAAS8C,EAAED,EAAE,GAAGE,EAAEF,EAAE,GAAG,GAAGE,IAAId,GAAGW,GAAG,KAAK,MAAM;AAAA,cAClFtC;AAAA;AAAA;AAAA,gCAGkB,MAAM,MAAMC;AAAA;AAAA,0BAElBwC,QAAQD;AAAA,+BACH5C;AAAA;AAAA,MAEzB,GAAG6C,IAAIxC,GAAGqC,GAAG,KAAK,MAAM;AAAA,cAChBtC;AAAA;AAAA;AAAA,iBAGG,EAAE,GAAG,EAAE,GAAG,EAAE;AAAA,iBACZ,EAAE,GAAG,EAAE,OAAO,EAAE;AAAA;AAAA;AAAA,yBAGRyC,QAAQD;AAAA,+BACF5C;AAAA;AAAA,MAEzB,IAAI8C,EAAEsyF,GAAGp1F,CAAC,EAAE,MAAM;AAAA,YACZI;AAAA;AAAA,0BAEc2B,aAAa,eAAe;AAAA,qBACjC1B,gBAAgByC;AAAA,6BACRF,MAAMC;AAAA,6BACN7C;AAAA;AAAA,GAE1B,CAAC,SAAS6zF,GAAI/zF,EAAE,CAAC,IAAI,EAAEA,EAAE,UAAU,aAAaE,EAAEF,EAAE,KAAKM,EAAE,MAAMJ,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,CAAC,SAASK,EAAE,SAAS,CAAC,EAAEumB,EAAE,aAAa,CAAC,EAAE,GAAGvmB,EAAE,OAAO,EAAE,OAAO,CAAC,IAAI,EAAEi1F,GAAGx1F,EAAEO,CAAC,EAAEgH,EAAE,CAAC,MAAM,MAAM,QAAQ,SAAS,SAAS,QAAQ,EAAE,MAAM;AAAA,QACxOisF,GAAG,CAAC;AAAA,cACElzF;AAAA;AAAA,iBAEGA,KAAKm1F,GAAGluF,EAAE,CAAC;AAAA;AAAA,KAEvB,CAAC,IAAI,EAAE,EAAE,GAAGtF,EAAE,EAAE,GAAG,EAAEC,EAAE,EAAE,GAAGD,EAAEE,EAAE,EAAE,GAAGD,EAAEU,EAAE,EAAE,GAAGT,EAAE,GAAGnC,EAAE,UAAU,UAAU,MAAM;AAAA,cACtEM;AAAA;AAAA;AAAA;AAAA,iBAIGsC,MAAMT,MAAMD,MAAMD;AAAA;AAAA;AAAA,mBAGhB;AAAA,UACTszF,GAAGv1F,CAAC;AAAA;AAAA,MAER,IAAI6C,EAAE7C,EAAE,UAAU,WAAW8C,EAAE9C,EAAE,UAAU,SAAS+C,EAAED,EAAE,GAAGE,EAAEF,EAAE,GAAG,GAAGE,IAAIJ,GAAGC,GAAG,KAAK,MAAM;AAAA,cAClFvC;AAAA;AAAA;AAAA;AAAA,iBAIG6B,MAAMD,MAAMD,MAAM;AAAA;AAAA;AAAA,0BAGTe,QAAQD;AAAA,+BACH7C;AAAA;AAAA,MAEzB,GAAG8C,IAAI,GAAGH,GAAG,KAAK,MAAM;AAAA,cAChBvC;AAAA;AAAA;AAAA,iBAGG,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE;AAAA,iBACjB,EAAE,GAAG,EAAE,GAAG,EAAE;AAAA,iBACZ,EAAE,GAAG,EAAE;AAAA,iBACP,EAAE;AAAA;AAAA;AAAA,yBAGM0C,QAAQD;AAAA,+BACF7C;AAAA;AAAA,MAEzB,IAAIgE,EAAEoxF,GAAGp1F,CAAC,EAAE,MAAM;AAAA,YACZI;AAAA;AAAA;AAAA,0BAGcsC,aAAaT,eAAeD;AAAA,qBACjCD,gBAAgB,gBAAgBiC;AAAA,6BACxBnB,MAAMC;AAAA,6BACN9C;AAAA;AAAA,GAE1B,CAAC,SAASq1F,GAAGv1F,EAAE,CAAC,IAAI,EAAEA,EAAE,KAAKE,EAAE4mB,EAAE,cAAc9mB,EAAE,UAAU,YAAY,EAAE,OAAOE,EAAE,EAAE,UAAU,KAAK;AAAA,0BAC5EA;AAAA;AAAA,iBAET;AAAA;AAAA;AAAA,GAGd,CAAC,SAASo0F,GAAIt0F,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,KAAKM,EAAEJ,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAEK,EAAE,MAAMD,EAAE,cAAc,EAAEN,EAAE,UAAU,aAAa,OAAO,EAAE,EAAE,aAAa,OAAOiC,EAAE4wF,GAAG7yF,EAAE,UAAU,aAAa,EAAE,YAAY,EAAEkC,EAAEwzF,GAAG,CAAC,EAAEvzF,EAAE,EAAE,EAAES,EAAEC,EAAE,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,GAAG,EAAE,IAAI,EAAED,EAAE,GAAG,EAAE,GAAGX,EAAE,QAAQ,EAAEW,EAAE,cAAcA,EAAEX,EAAE,IAAI8C,GAAG,UAAUlC,EAAEkC,EAAE5C,SAAS,EAAE,KAAK;AAAA,CAC1U,EAAE,IAAIW,EAAE,GAAG,EAAE,GAAG,EAAE,EAAEA,EAAE,SAASA,EAAE9C,EAAE,UAAU,aAAa,IAAI,CAAC+E,EAAEJ,IAAI,UAAU9B,EAAE8B,EAAExC,IAAI,EAAE,KAAK,IAAI,EAAE,IAAIY,EAAE,sBAAsBmB,EAAE4iB,EAAE,cAAc9mB,EAAE,UAAU,YAAY,IAAI,EAAEuH,EAAEuf,EAAE,cAAc,EAAE,YAAY,IAAI,EAAE,GAAG,IAAI,GAAG,CAAC5iB,GAAG,CAACqD,EAAExE,EAAE;AAAA;AAAA,cAE5NmB,GAAG,CAACqD,EAAE,IAAI,EAAExE,EAAE;AAAA;AAAA,QAEpBA,EAAE;AAAA;AAAA,gBAEMd,EAAE,OAAO,CAAC,IAAI8C,EAAE,EAAE,EAAEJ,EAAE,EAAE,EAAE1C,EAAE,QAAQ8C,CAAC,EAAE,IAAI9C,EAAE,QAAQ0C,CAAC,EAAE,GAAG5B,EAAE,8BAA8Bd,EAAE,QAAQ8C,CAAC,EAAE,GAAGhC,EAAE,2EAA2Ed,EAAE,QAAQ0C,CAAC,EAAE,KAAK5B,EAAE,+CAA+C,CAAC,MAAM;AAAA,WACvQxC;AAAA,QACH2B;AAAA,QACAU;AAAA,8BACsBtC,KAAKwC;AAAA,QAC3BC;AAAA;AAAA,GAEL,CAAC,SAASwxF,GAAIv0F,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,KAAKM,EAAEJ,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAEK,EAAE,MAAMD,EAAE,cAAc,EAAE,EAAE,SAAS,EAAEN,EAAE,UAAU,SAASiC,EAAEjC,EAAE,UAAU,aAAa,OAAOkC,EAAE,EAAE,aAAa,OAAO,GAAG,CAAClC,EAAE,UAAU,WAAWiC,IAAIC,GAAGlC,EAAE,UAAU,YAAY,MAAM8mB,EAAE,YAAY,EAAE,CAAC,EAAE,MAAM;AAAA,cAC3QvmB;AAAA,+BACiBL;AAAA;AAAA,MAEzB,IAAIiC,EAAEuzF,GAAGxzF,CAAC,EAAEU,EAAEiwF,GAAG7yF,EAAE,UAAU,aAAa,EAAE,YAAY,EAAE6C,EAAEX,EAAED,EAAEa,EAAEC,EAAE,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,GAAG,EAAEd,IAAI,EAAEa,EAAE,GAAGZ,EAAE,GAAGU,EAAE,QAAQ,EAAEE,EAAE,cAAcA,EAAEF,EAAE,IAAIsB,GAAG,UAAUnB,EAAEmB,EAAErB,SAAS,EAAE,KAAK;AAAA,CACxL,EAAE,IAAIG,EAAE,GAAG,OAAOd,EAAE,GAAGD,EAAE,EAAEe,EAAE,SAASA,EAAEhD,EAAE,UAAU,aAAa,IAAI,CAACkE,EAAE,IAAI,UAAUnB,EAAE,EAAEF,IAAI,EAAE,KAAK,IAAI,EAAE;AAAA,YAChGtC;AAAA,QACJ4B;AAAA,QACAW;AAAA,kBACUxC,KAAK0C;AAAA;AAAA,GAEpB,CAAC,SAAS0yF,GAAG11F,EAAE,CAAC,GAAGA,GAAG,EAAE,MAAM,MAAM,GAAGA,IAAI,EAAE,MAAM,QAAQ,GAAGA,IAAI,EAAE,MAAM,QAAQ,GAAGA,IAAI,EAAE,MAAM,QAAQ,GAAGA,IAAI,EAAE,MAAM,QAAQ,GAAGA,IAAI,EAAE,MAAM,QAAQ,MAAM,MAAM,gBAAgBA,wBAAwB,CAAC,CAAC,SAAS+yF,GAAG/yF,EAAE,EAAEE,EAAE,CAAC,GAAG,CAAC,SAASI,EAAE,SAASC,CAAC,EAAEumB,EAAE,aAAa,CAAC,EAAE,EAAE,EAAE,OAAO,EAAE9mB,GAAG,IAAI,GAAG,EAAE,KAAK,EAAEiC,EAAE,EAAE,EAAE,MAAM,CAAC,EAAE3B,EAAE4B,EAAE,CAAClC,GAAG,EAAE,GAAG,CAAC8mB,EAAE,YAAY,EAAE5mB,CAAC,GAAGI,EAAE,OAAO,GAAG,EAAE,MAAM,CAAC,gBAAgB4B,EAAE,aAAaA,EAAED,EAAE,EAAE,SAAS1B,CAAC,CAAC,CAAC,SAASi1F,GAAGx1F,EAAE,EAAE,CAAC,IAAIE,EAAE,KAAK,MAAM,KAAK,UAAUF,CAAC,CAAC,EAAE,OAAOE,EAAE,UAAU,aAAa,EAAEA,CAAC,CAAC,SAASu1F,GAAGz1F,EAAE,EAAE,CAAC,OAAO,EAAE,IAAIE,GAAGF,EAAEE,EAAE,EAAE,KAAK,IAAI,CAAC,CAAC,SAASy1F,GAAG31F,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEL,EAAE,IAAI,CAAC0C,EAAEC,IAAI,CAAC,IAAIC,EAAE,CAAC,aAAaF,EAAE,MAAM,SAASA,EAAE,UAAU,KAAKA,EAAE,QAAQ,SAAS,UAAUA,EAAE,UAAU,SAASA,EAAE,UAAU,GAAGA,EAAE,QAAQ,SAAS,WAAW,IAAI,EAAE,OAAOA,EAAE,SAAS,MAAMA,EAAE,QAAQ,OAAO,MAAMA,EAAE,QAAQ,MAAM,WAAW,IAAIE,EAAE,WAAWF,EAAE,QAAQ,MAAM,YAAY,CAAC,KAAK,EAAE,cAAcC,GAAG,UAAUC,CAAC,CAAC,CAAC,EAAE,EAAEvC,EAAE,IAAIqC,GAAGA,EAAE,SAAS,EAAE,EAAE,CAAC,aAAatC,EAAE,MAAM,SAASA,EAAE,QAAQ,SAAS,UAAU,GAAG,SAASA,EAAE,QAAQ,SAAS,WAAW,IAAI,EAAE2B,EAAE6wF,GAAGvyF,EAAE,EAAE,CAAC,EAAE2B,EAAEqsF,GAAGvuF,EAAE,GAAGiC,CAAC,EAAEE,EAAEnC,EAAE,cAAckC,CAAC,EAAE,OAAOuY,EAAE,EAAE,IAAI,qBAAqB,EAAE,CAAC,QAAQ,EAAE,eAAevY,EAAE,OAAOD,EAAE,aAAaE,EAAE,aAAa,EAAE,aAAa,EAAE,iBAAiB,KAAK,uBAAuB,KAAK,OAAO,KAAK,OAAO,KAAK,kBAAkB,KAAK,qBAAqB,KAAK,iBAAiB,KAAK,wBAAwB,KAAK,oBAAoB,IAAI,EAAE,OAAO,OAAO,CAAC,QAAQ,EAAE,eAAeD,EAAE,OAAOD,EAAE,aAAaE,EAAE,aAAa,EAAE,aAAa,CAAC,EAAEyzF,GAAG51F,EAAE,EAAEmC,CAAC,CAAC,CAAC,CAAC,SAASyzF,GAAG51F,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE0B,EAAEC,EAAEC,EAAES,EAAE,KAAKC,EAAE,KAAKA,EAAE7C,EAAE,mBAAmBE,EAAE,MAAM,EAAE,EAAEua,EAAE,EAAE,UAAU,eAAe,IAAI,IAAI7X,EAAE5C,EAAE,mBAAmBE,EAAE,WAAW,EAAE,GAAG,IAAI4C,EAAE,GAAG,QAAQC,EAAE,EAAEA,EAAE,EAAE,cAAc,OAAOA,IAAI,CAAC,IAAIC,EAAE,EAAE,cAAcD,GAAGzC,EAAE0C,GAAGhD,EAAE,mBAAmBE,EAAE8C,EAAEF,CAAC,EAAExC,EAAE,SAAS0C,KAAKhD,EAAE,mBAAmBE,EAAE,SAAS8C,IAAIF,CAAC,EAAE,EAAE,sBAAsBvC,EAAE,GAAGyC,UAAUhD,EAAE,mBAAmBE,EAAE,GAAG8C,SAASF,CAAC,EAAE,EAAE,GAAGE,aAAahD,EAAE,mBAAmBE,EAAE,GAAG8C,YAAYF,CAAC,EAAE,CAAC,OAAO,EAAE,sBAAsBb,EAAEjC,EAAE,mBAAmBE,EAAE,WAAW4C,CAAC,EAAEX,EAAEnC,EAAE,mBAAmBE,EAAE,kBAAkB4C,CAAC,EAAEZ,EAAElC,EAAE,mBAAmBE,EAAE,cAAc4C,CAAC,GAAG,EAAE,gBAAgB,EAAE,eAAe,QAAQ,CAACC,EAAEC,IAAI,CAAC,EAAEA,GAAGhD,EAAE,mBAAmBE,EAAE6C,EAAE,KAAKD,CAAC,CAAC,CAAC,EAAE,CAAC,iBAAiBxC,EAAE,uBAAuB,EAAE,OAAOsC,EAAE,OAAOC,EAAE,kBAAkBtC,EAAE,qBAAqB,EAAE,iBAAiB0B,EAAE,wBAAwBE,EAAE,oBAAoBD,CAAC,CAAC,CAAC,SAAS2zF,GAAG71F,EAAE,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,MAAM,MAAM,4BAA4BA,EAAE,wCAAwC,EAAE,eAAe,EAAEA,EAAE,QAAQ,CAACE,EAAEI,IAAI,CAAC,IAAIC,EAAEL,EAAE,aAAa,EAAE,EAAEI,GAAG,EAAE,EAAE,MAAM,GAAG,CAACwmB,EAAE,YAAYvmB,EAAE,CAAC,EAAE,MAAM,MAAM,2EAA2EA,SAAS,cAAc,EAAE,GAAGL,EAAE,WAAW,EAAE,UAAU,OAAO,IAAI+B,EAAE/B,EAAE,SAASgC,EAAE,EAAE,UAAU,KAAK,EAAE,QAAQ,SAAS,GAAG,CAAC4kB,EAAE,YAAY7kB,EAAEC,CAAC,EAAE,MAAM,MAAM,kFAAkFD,SAASC,cAAc,CAAC,CAAC,CAAC,CAAC,SAAS4zF,GAAG91F,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,EAAE,QAAQ,sBAAsBs1F,GAAG,EAAE,aAAa31F,CAAC,EAAE21F,GAAG,CAAC,EAAE,YAAY,EAAE,CAACv1F,CAAC,CAAC,GAAG,IAAI,EAAEA,EAAE,QAAQ,QAAQ,EAAEA,EAAE,QAAQ,SAASA,EAAE,QAAQ,SAASN,EAAE,6BAA6B,EAAE,QAAQ,EAAE,GAAG,EAAE,EAAE,EAAEA,EAAE,uBAAuB,EAAE,QAAQ,EAAE,GAAG,EAAE,EAAE,EAAEA,EAAE,WAAW,EAAE,YAAY,EAAEya,EAAE,EAAE,UAAU,eAAe,IAAI,GAAG,EAAE,SAAS,MAAMza,EAAE,GAAG,UAAU,EAAE,OAAO,EAAE,CAAC,EAAE,EAAE,SAAS,MAAMA,EAAE,GAAG,UAAU,EAAE,OAAO,GAAG,EAAEE,EAAE,QAAQ,CAACgC,EAAEC,IAAI,CAAC,IAAIS,EAAE,EAAE,QAAQ,cAAcT,GAAGU,EAAE,EAAE,iBAAiBD,GAAGE,EAAE,EAAE,iBAAiB,SAASF,KAAKG,EAAE,EAAE,kBAAkB,GAAGH,UAAUI,EAAE,EAAE,qBAAqB,GAAGJ,aAAa,GAAGG,EAAE,CAAC,GAAG,CAAC,aAAamB,CAAC,EAAE6uF,GAAG,EAAE,QAAQ,aAAa7wF,EAAE,MAAMA,EAAE,QAAQ,QAAQ,EAAE,OAAOgC,EAAE,OAAO,CAAC,IAAK,GAAElE,EAAE,GAAG,WAAW+C,EAAE,IAAI,WAAWmB,CAAC,CAAC,EAAE,MAAM,IAAK,GAAElE,EAAE,GAAG,WAAW+C,EAAE,IAAI,WAAWmB,CAAC,CAAC,EAAE,MAAM,IAAK,GAAElE,EAAE,GAAG,WAAW+C,EAAE,IAAI,WAAWmB,CAAC,CAAC,EAAE,MAAM,IAAK,GAAElE,EAAE,GAAG,WAAW+C,EAAE,IAAI,WAAWmB,CAAC,CAAC,EAAE,MAAM,QAAQ,KAAK,CAAC,CAAC,GAAGlB,GAAGhD,EAAE,GAAG,UAAUgD,EAAEd,EAAE,QAAQ,SAAS,GAAGA,EAAE,QAAQ,SAAS,EAAE,EAAEW,GAAG,KAAK,CAAC,GAAGX,EAAE,UAAU,CAAC,GAAG4kB,EAAE,cAAc5kB,EAAE,KAAK,EAAE,EAAElC,EAAE,GAAG,UAAU6C,EAAEX,EAAE,cAAc,EAAE,MAAM,CAAC,IAAIgC,EAAEhC,EAAE,cAAcgC,aAAa,eAAeA,EAAE,IAAI,aAAaA,CAAC,GAAGlE,EAAE,GAAG,WAAW6C,EAAEqB,CAAC,CAAC,CAAC,MAAM,CAAChC,EAAE,QAAQ,OAAO,MAAMY,GAAG,MAAM9C,EAAE,GAAG,UAAU8C,EAAEZ,EAAE,QAAQ,MAAM,UAAU,EAAElC,EAAE,sBAAsBkC,EAAE,QAAQ,QAAQ,QAAQW,EAAEV,CAAC,CAAC,CAAC,CAAC,EAAE,IAAIF,EAAE,EAAE,iBAAiB,GAAGA,EAAE,OAAO3B,EAAE,MAAM,OAAO,CAAC,IAAK,GAAEN,EAAE,GAAG,WAAWiC,EAAE,IAAI,WAAW3B,EAAE,KAAK,CAAC,EAAE,MAAM,IAAK,GAAEN,EAAE,GAAG,WAAWiC,EAAE,IAAI,WAAW3B,EAAE,KAAK,CAAC,EAAE,MAAM,IAAK,GAAEN,EAAE,GAAG,WAAWiC,EAAE,IAAI,WAAW3B,EAAE,KAAK,CAAC,EAAE,MAAM,IAAK,GAAEN,EAAE,GAAG,WAAWiC,EAAE,IAAI,WAAW3B,EAAE,KAAK,CAAC,EAAE,MAAM,QAAQ,KAAK,CAAC,GAAG,EAAE,wBAAwB,CAAC,IAAI4B,EAAE4kB,EAAE,eAAexmB,EAAE,KAAK,EAAE,OAAOA,EAAE,MAAM,OAAO,CAAC,IAAK,GAAEN,EAAE,GAAG,WAAW,EAAE,wBAAwB,IAAI,WAAWkC,CAAC,CAAC,EAAE,MAAM,IAAK,GAAElC,EAAE,GAAG,WAAW,EAAE,wBAAwB,IAAI,WAAWkC,CAAC,CAAC,EAAE,MAAM,IAAK,GAAElC,EAAE,GAAG,WAAW,EAAE,wBAAwB,IAAI,WAAWkC,CAAC,CAAC,EAAE,MAAM,QAAQ,KAAK,CAAC,CAAC,EAAE,qBAAqBlC,EAAE,GAAG,UAAU,EAAE,oBAAoBM,EAAE,QAAQ,SAAS,GAAGA,EAAE,QAAQ,SAAS,EAAE,EAAE,EAAE,QAAQ,gBAAgBC,GAAG,EAAE,QAAQ,eAAe,QAAQ,CAAC2B,EAAEC,IAAI,CAAC,IAAIS,EAAE,EAAE,uBAAuBT,GAAGU,EAAEtC,EAAE4B,GAAG,GAAGD,EAAE,OAAO,QAAQlC,EAAE,GAAG,WAAW4C,EAAEC,CAAC,UAAUX,EAAE,OAAO,OAAOlC,EAAE,GAAG,WAAW4C,EAAEC,CAAC,UAAUX,EAAE,OAAO,OAAOlC,EAAE,GAAG,WAAW4C,EAAEC,CAAC,UAAUX,EAAE,OAAO,OAAOlC,EAAE,GAAG,WAAW4C,EAAEC,CAAC,UAAUX,EAAE,OAAO,MAAMlC,EAAE,GAAG,WAAW4C,EAAEC,CAAC,UAAUX,EAAE,OAAO,QAAQlC,EAAE,GAAG,WAAW4C,EAAEC,CAAC,UAAUX,EAAE,OAAO,QAAQlC,EAAE,GAAG,WAAW4C,EAAEC,CAAC,UAAUX,EAAE,OAAO,QAAQlC,EAAE,GAAG,WAAW4C,EAAEC,CAAC,MAAO,OAAM,MAAM,gBAAgBX,EAAE,4BAA4B,CAAC,CAAC,EAAElC,EAAE,eAAe,CAAC,CAAC,SAAS+1F,GAAG/1F,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,GAAG,EAAE,OAAOJ,CAAC,EAAE,QAAQ,GAAG,CAAC,IAAI+B,EAAE,EAAE,SAAS,MAAM,EAAE,QAAQ,OAAO,MAAM,EAAE,QAAQ,MAAM,WAAW,EAAE,GAAGjC,EAAE,qBAAqB,CAAC,EAAE,UAAU,CAAC,IAAIkC,EAAE,EAAE,QAAQ,SAAS,CAAC,gBAAgBC,EAAE,aAAaS,EAAE,SAASC,CAAC,EAAEkwF,GAAG/yF,EAAE,aAAa,EAAE,MAAMkC,CAAC,EAAEY,EAAE,GAAGC,EAAE,GAAGC,EAAE,GAAG,GAAGJ,EAAE,SAAS,GAAG5C,EAAE,aAAa,CAAC,IAAI6E,EAAE,CAAC,KAAK,KAAK3C,EAAE,GAAG,CAAC,EAAE,KAAK,KAAKA,EAAE,GAAG,CAAC,CAAC,EAAEY,EAAE,GAAG+B,EAAE,GAAG,KAAKA,EAAE,GAAG,GAAG,SAASjC,EAAE,SAAS,GAAG,CAAC5C,EAAE,aAAa+C,EAAE,GAAGH,EAAE,GAAG,KAAKA,EAAE,GAAG,YAAYA,EAAE,OAAO,GAAG,CAAC5C,EAAE,aAAa,CAAC,IAAI6E,EAAEiiB,EAAE,eAAelkB,CAAC,EAAEI,EAAE,GAAG6B,EAAE,KAAK3C,EAAE,MAAM2C,EAAEA,EAAE,OAAO,KAAK3C,EAAE,IAAI,CAAC,IAAIgC,EAAE,EAAE,MAAM,OAAO,EAAEtB,EAAE,SAAS,GAAGkkB,EAAE,YAAY,EAAE,MAAM5kB,CAAC,EAAEqF,EAAEuf,EAAE,cAAc,EAAE,KAAK,IAAI,EAAE/hB,EAAEy1C,EAAE,iBAAiB,EAAE,MAAMt6C,EAAE,KAAK,EAAEyE,EAAE,CAAC3E,EAAE,cAAckE,IAAIhE,EAAE,MAAM,QAAQ4mB,EAAE,YAAY5kB,EAAEhC,EAAE,QAAQ,QAAQ,EAAE0E,EAAE5E,EAAE,cAAc4C,EAAE,OAAO,EAAE,GAAG,GAAGV,EAAE,GAAG,KAAKA,EAAE,GAAG,IAAI5B,GAAG,GAAG4D,KAAKS,KAAKxC,EAAEU,EAAE,MAAMD,EAAE,UAAU2E,KAAKxC,KAAK,KAAKjC,KAAKC,KAAKC,KAAK4B,KAAK3C,GAAG,KAAK,CAAC,IAAIC,EAAE,EAAE,UAAU,UAAU,EAAE,QAAQ,SAAS5B,GAAG,GAAG,EAAE,SAAS4B,KAAKD,GAAG,CAAC,CAAC,EAAE,IAAI1B,EAAEP,EAAE,SAAS,EAAEA,EAAE,YAAY,KAAK,OAAO,GAAG,IAAIM,EAAE,IAAIC,EAAE,GAAGka,EAAE,EAAE,UAAU,eAAe,IAAI,CAAC,CAAC,SAASu7E,GAAGh2F,EAAE,CAAC,OAAOya,EAAE,EAAE,QAAQ,2BAA2B,GAAGza,GAAG,CAAC,CAAC,IAAIi2F,GAAG,KAAK,CAAC,YAAYn1F,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,iBAAiBkwF,GAAG,MAAM,KAAK,eAAe,CAAC,CAAC,KAAK,WAAW,KAAK,OAAO,CAAC,EAAE,IAAI9wF,EAAEmyF,GAAG,EAAE,KAAK,YAAYvxF,EAAE,KAAK,oBAAoBk1F,GAAG,KAAK,YAAY,MAAM,EAAE,KAAK,SAAS;AAAA;AAAA,UAE30N,KAAK,oBAAoBzD,GAAG,CAAC,IAAI,IAAI,GAAG,EAAEzxF,CAAC,EAAEwxF,GAAG,CAAC,IAAI,IAAI,GAAG,EAAExxF,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAgB/DZ,EAAE;AAAA;AAAA,KAEP,CAAC,EAAMg2F,GAAG,KAAK,CAAC,YAAYp1F,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,iBAAiBkwF,GAAG,MAAM,KAAK,eAAe,CAAC,CAAC,KAAK,WAAW,KAAK,OAAO,CAAC,EAAE,IAAI9wF,EAAEmyF,GAAG,EAAE,KAAK,YAAYvxF,EAAE,KAAK,oBAAoBk1F,GAAG,KAAK,YAAY,MAAM,EAAE,KAAK,SAAS;AAAA;AAAA,UAElR,KAAK,oBAAoBzD,GAAG,CAAC,IAAI,IAAI,GAAG,EAAEzxF,CAAC,EAAEwxF,GAAG,CAAC,IAAI,IAAI,GAAG,EAAExxF,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAgB/DZ,EAAE;AAAA;AAAA,KAEP,CAAC,EAAMi2F,GAAG,KAAK,CAAC,YAAYr1F,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAYmwF,GAAG,SAAS,IAAI/wF,EAAEmyF,GAAG,EAAE,KAAK,YAAYvxF,EAAE,KAAK,SAAS;AAAA,QAC9H8xF;AAAA;AAAA;AAAA;AAAA,UAIE1yF,EAAE;AAAA;AAAA,KAEP,CAAC,EAAMk2F,GAAG,KAAK,CAAC,YAAYt1F,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAYmwF,GAAG,SAAS,IAAI/wF,EAAEmyF,GAAG,EAAE,KAAK,YAAYvxF,EAAE,KAAK,SAAS;AAAA,QACxK8xF;AAAA;AAAA;AAAA;AAAA;AAAA,UAKE1yF,EAAE;AAAA;AAAA,KAEP,CAAC,EAAMm2F,GAAI,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC,EAAEC,GAAG,KAAK,CAAC,YAAYx1F,EAAEZ,EAAE,GAAG,EAAE,OAAO,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,WAAW,KAAK,OAAO,CAAC,EAAE,IAAIK,EAAE8xF,GAAG,EAAE,KAAK,YAAYvxF,EAAE,KAAK,oBAAoBk1F,GAAG,KAAK,YAAY,MAAM,EAAE,IAAIj0F,EAAE,SAAS7B,IAAI6B,EAAE,8BAA8B,IAAIC,EAAE,GAAG,QAAQC,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,CAAC,IAAIC,EAAE,EAAED,GAAGD,GAAG;AAAA,yBACtTC;AAAA,8BACKo0F,GAAIn0F;AAAA,YACtB,CAAC,KAAK,SAAS;AAAA,QACnB,KAAK,oBAAoBywF,GAAG,EAAED,GAAG5xF,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,uCAMH,EAAE;AAAA;AAAA,sCAEH,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0BAMdP,EAAE;AAAA,YAChByB;AAAA;AAAA,UAEFzB,EAAE,iBAAiBwB;AAAA;AAAA,KAExB,CAAC,EAAMw0F,GAAG,KAAK,CAAC,YAAYz1F,EAAEZ,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,eAAe,CAAC,CAAC,KAAK,WAAW,KAAK,OAAO,CAAC,EAAE,IAAI,EAAEmyF,GAAG,EAAE,KAAK,YAAYvxF,EAAE,KAAK,oBAAoBk1F,GAAG,KAAK,YAAY,MAAM,EAAE,IAAIz1F,EAAE,GAAGwB,EAAE,SAAS7B,IAAI6B,EAAE,8BAA8B,QAAQC,EAAE,EAAEA,GAAG,EAAEA,IAAI,QAAQC,EAAE,EAAEA,GAAG,EAAEA,IAAI,CAAC,IAAIC,EAAEF,EAAE,EAAEC,EAAE1B,GAAG;AAAA;AAAA,gCAEtU0B,OAAO,KAAK,oBAAoB,cAAc,GAAGnB,EAAE;AAAA,8BACrDmB;AAAA,iCACGD,OAAO,KAAK,oBAAoB,cAAc,GAAGlB,EAAE;AAAA,gCACpDkB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,uBAUT,EAAE;AAAA;AAAA;AAAA,uBAGFE;AAAA;AAAA,uBAEAA;AAAA;AAAA,uBAEAA;AAAA;AAAA,uBAEAA;AAAA;AAAA;AAAA;AAAA,SAId,CAAC,KAAK,SAAS;AAAA,UACd,KAAK,oBAAoBywF,GAAG,EAAED,GAAG5xF,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAWhCP;AAAA;AAAA,YAEA,EAAE,YAAYwB;AAAA;AAAA,KAErB,CAAC,EAAMy0F,GAAG,CAAC,EAAEp2F,GAAGo2F,GAAG,CAAC,kCAAkC,IAAIC,GAAG,8BAA8B,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,iCAAiC,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,0BAA0B,IAAIC,GAAG,iCAAiC,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,gDAAgD,IAAIC,GAAG,gCAAgC,IAAIC,GAAG,sCAAsC,IAAIC,GAAG,+BAA+B,IAAIC,GAAG,yCAAyC,IAAIC,GAAG,+CAA+C,IAAIC,GAAG,yCAAyC,IAAIC,GAAG,wCAAwC,IAAIC,GAAG,+CAA+C,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,yBAAyB,IAAIC,EAAE,CAAC,EAAE,SAASX,GAAGl3F,EAAE,CAAC,IAAI,EAAEqyF,GAAG,EAAEnyF,EAAE,GAAG,EAAE;AAAA;AAAA,MAEp3B,EAAE;AAAA,MACF,EAAE;AAAA,MACF,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,OAKD,OAAO2uF,GAAG7uF,EAAEE,CAAC,CAAC,CAAC,SAAS+2F,GAAGj3F,EAAE,CAAC,IAAI,EAAE,IAAI,aAAa,CAAC,GAAG,EAAE,EAAE,EAAE,EAAE,GAAG,GAAG,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,CAAC,CAAC,EAAE,OAAO2uF,GAAG3uF,EAAE,CAAC,CAAC,CAAC,SAAS82F,GAAG92F,EAAE,CAAC,IAAI,EAAE,IAAI,YAAY,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,EAAE,OAAO0uF,GAAG1uF,EAAE,CAAC,CAAC,CAAC,SAAS83F,GAAG93F,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAACkwF,GAAG,EAAEvwF,CAAC,EAAE,IAAI,EAAE0uF,GAAG5uF,CAAC,EAAEiC,EAAEjC,EAAE,WAAW,OAAOquF,GAAGruF,EAAE,IAAIA,EAAE,YAAYiC,EAAE,CAAC,CAAC,EAAEosF,GAAGruF,EAAE,IAAIA,EAAE,cAAciC,EAAEjC,EAAE,eAAeA,EAAE,aAAa,CAAC,EAAEquF,GAAGruF,EAAE,IAAIA,EAAE,cAAciC,EAAEjC,EAAE,eAAeA,EAAE,aAAa,CAAC,EAAEquF,GAAGruF,EAAE,IAAIA,EAAE,cAAciC,EAAEjC,EAAE,mBAAmBA,EAAE,OAAO,CAAC,EAAEquF,GAAGruF,EAAE,IAAIA,EAAE,cAAciC,EAAEjC,EAAE,mBAAmBA,EAAE,OAAO,CAAC,EAAEya,EAAE,EAAE,UAAU,eAAe,IAAI,EAAE4zE,GAAGruF,EAAE,IAAIA,EAAE,WAAWiC,EAAE,EAAE3B,EAAE,EAAEJ,EAAE,EAAEK,EAAE,EAAE,IAAI,CAAC,EAAE8tF,GAAGruF,EAAE,IAAIA,EAAE,aAAaiC,EAAE,EAAE3B,EAAE,EAAEJ,CAAC,CAAC,EAAEmuF,GAAGruF,EAAE,IAAIA,EAAE,YAAYA,EAAE,WAAW,IAAI,CAAC,EAAE,CAAC,QAAQ,EAAE,SAAS,CAACE,EAAE,CAAC,CAAC,CAAC,CAAC,SAASu3F,GAAGz3F,EAAE,CAAC,OAAOA,EAAE,mBAAmB,CAAC,SAAS62F,GAAG72F,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAE4wF,GAAG,EAAEjxF,CAAC,EAAE,OAAO43F,GAAG93F,EAAEO,EAAE,EAAEk3F,GAAGn3F,CAAC,EAAEA,EAAE,mBAAmBN,EAAE,KAAK,CAAC,CAAC,SAASu3F,GAAGv3F,EAAE,CAAC,OAAOA,EAAE,uBAAuB,CAAC,SAAS22F,GAAG32F,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAE4wF,GAAG,EAAEjxF,CAAC,EAAE,OAAO43F,GAAG93F,EAAEO,EAAE,EAAEg3F,GAAGj3F,CAAC,EAAEA,EAAE,mBAAmBA,EAAE,oBAAoB,CAAC,CAAC,SAASq3F,GAAG33F,EAAE,CAAC,OAAOA,EAAE,qBAAqB,CAAC,SAASg3F,GAAGh3F,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAE4wF,GAAG,EAAEjxF,CAAC,EAAE,OAAO43F,GAAG93F,EAAEO,EAAE,EAAEo3F,GAAGr3F,CAAC,EAAEN,EAAE,KAAKA,EAAE,aAAa,CAAC,CAAC,SAAS03F,GAAG13F,EAAE,CAAC,OAAOA,EAAE,yBAAyB,CAAC,SAAS+2F,GAAG/2F,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAE+wF,GAAG,EAAEpxF,CAAC,EAAE,OAAO43F,GAAG93F,EAAEO,EAAE,EAAEm3F,GAAGp3F,CAAC,EAAEN,EAAE,KAAKA,EAAE,KAAK,CAAC,CAAC,SAASw3F,GAAGx3F,EAAE,CAAC,OAAOA,EAAE,6BAA6B,CAAC,SAAS42F,GAAG52F,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAE+wF,GAAG,EAAEpxF,CAAC,EAAE,OAAO43F,GAAG93F,EAAEO,EAAE,EAAEi3F,GAAGl3F,CAAC,EAAEN,EAAE,KAAKM,EAAE,oBAAoB,CAAC,CAAC,SAASm2F,GAAGz2F,EAAE,EAAEE,EAAE,CAAC,OAAOmuF,GAAGruF,EAAE,IAAIA,EAAE,WAAWA,EAAE,aAAaE,CAAC,CAAC,EAAEkuF,GAAGpuF,EAAE,EAAE,eAAeE,EAAE,EAAE,GAAG,CAAC,GAAGkuF,GAAGpuF,EAAE,EAAE,KAAKE,EAAE,EAAE,GAAG,EAAE,CAAC,CAAC,SAAS03F,GAAG53F,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC8tF,GAAGruF,EAAE,IAAIA,EAAE,YAAYA,EAAE,WAAW,CAAC,CAAC,EAAE,IAAI,EAAEiC,EAAEC,EAAE3B,aAAa,YAAY,EAAE,IAAI,WAAWL,EAAEI,EAAE,CAAC,EAAE2B,EAAEjC,EAAE,cAAckC,EAAElC,EAAE,OAAO,EAAE,IAAI,aAAaE,EAAEI,EAAE,CAAC,EAAE2B,EAAEjC,EAAE,MAAMkC,EAAE,EAAE,2BAA2B,EAAE,IAAI3B,CAAC,EAAEka,EAAE,EAAE,UAAU,eAAe,IAAI,EAAE4zE,GAAGruF,EAAE,IAAIA,EAAE,cAAcA,EAAE,WAAW,EAAE,EAAE,EAAEE,EAAEI,EAAEN,EAAE,KAAKiC,EAAE,CAAC,CAAC,EAAEosF,GAAGruF,EAAE,IAAIA,EAAE,WAAWA,EAAE,WAAW,EAAEkC,EAAEhC,EAAEI,EAAE,EAAEN,EAAE,KAAKiC,EAAE,CAAC,CAAC,EAAEosF,GAAGruF,EAAE,IAAIA,EAAE,YAAYA,EAAE,WAAW,IAAI,CAAC,CAAC,CAAC,SAAS63F,GAAG73F,EAAE,EAAEE,EAAE,CAACmuF,GAAGruF,EAAE,IAAIA,EAAE,YAAYA,EAAE,WAAW,CAAC,CAAC,EAAEE,EAAE,gBAAgB,WAAWua,EAAE,EAAE,UAAU,eAAe,IAAI,EAAE4zE,GAAGruF,EAAE,IAAIA,EAAE,cAAcA,EAAE,WAAW,EAAE,EAAE,EAAEE,EAAE,MAAMA,EAAE,OAAOF,EAAE,KAAKA,EAAE,cAAcE,EAAE,IAAI,CAAC,EAAEmuF,GAAGruF,EAAE,IAAIA,EAAE,WAAWA,EAAE,WAAW,EAAEA,EAAE,KAAKE,EAAE,MAAMA,EAAE,OAAO,EAAEF,EAAE,KAAKA,EAAE,cAAcE,EAAE,IAAI,CAAC,EAAEua,EAAE,EAAE,UAAU,eAAe,IAAI,EAAE4zE,GAAGruF,EAAE,IAAIA,EAAE,cAAcA,EAAE,WAAW,EAAE,EAAE,EAAEA,EAAE,KAAKA,EAAE,cAAcE,CAAC,CAAC,EAAEmuF,GAAGruF,EAAE,IAAIA,EAAE,WAAWA,EAAE,WAAW,EAAEA,EAAE,KAAKA,EAAE,KAAKA,EAAE,cAAcE,CAAC,CAAC,EAAEmuF,GAAGruF,EAAE,IAAIA,EAAE,YAAYA,EAAE,WAAW,IAAI,CAAC,CAAC,CAAC,SAAS02F,GAAG12F,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEP,EAAE,aAAa,EAAEquF,GAAGruF,EAAE,IAAIA,EAAE,WAAWA,EAAE,kBAAkBO,CAAC,CAAC,EAAE,IAAI0B,EAAE,EAAE,EAAE,EAAE/B,EAAE,OAAOmuF,GAAGruF,EAAE,IAAIA,EAAE,WAAWA,EAAE,kBAAkBiC,EAAEjC,EAAE,WAAW,CAAC,EAAEquF,GAAGruF,EAAE,IAAIA,EAAE,WAAW,EAAE,EAAEE,EAAE,EAAEF,EAAE,KAAKA,EAAE,MAAM,CAAC,CAAC,EAAEquF,GAAGruF,EAAE,IAAIA,EAAE,WAAWA,EAAE,kBAAkB,IAAI,CAAC,EAAEO,CAAC,CAAC,SAAS62F,GAAGp3F,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAEO,EAAE,IAAI,aAAaL,CAAC,EAAE,OAAOI,EAAE,WAAWA,EAAE,kBAAkB,CAAC,EAAEA,EAAE,iBAAiBA,EAAE,kBAAkB,EAAEC,CAAC,EAAED,EAAE,WAAWA,EAAE,kBAAkB,IAAI,EAAEC,CAAC,CAAC,SAAS42F,GAAGn3F,EAAE,EAAEE,EAAEI,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAE4wF,GAAG,EAAEjxF,CAAC,EAAE,EAAE,EAAE+B,EAAE,IAAI,WAAWmvF,GAAG,EAAElxF,EAAE,CAAC,CAAC,EAAE,OAAOmuF,GAAGruF,EAAE,IAAIA,EAAE,WAAW,EAAE,EAAEO,EAAE,EAAED,EAAE,sBAAsBN,EAAE,cAAciC,CAAC,CAAC,EAAE,IAAI,aAAaA,EAAE,MAAM,CAAC,CAAC,SAASq1F,GAAGt3F,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAE,CAAC,IAAIC,EAAElC,EAAEmC,EAAE,IAAI,aAAaovF,GAAG,EAAE,CAAC,CAAC,EAAE,OAAOrvF,EAAE,WAAWA,EAAE,kBAAkB,CAAC,EAAEA,EAAE,iBAAiBA,EAAE,kBAAkB,EAAEC,CAAC,EAAED,EAAE,WAAWA,EAAE,kBAAkB,IAAI,EAAEC,CAAC,CAAC,SAASk1F,GAAGr3F,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,IAAI,aAAa,EAAEJ,EAAE,CAAC,EAAE,OAAOmuF,GAAGruF,EAAE,IAAIA,EAAE,WAAW,EAAE,EAAEE,EAAE,EAAEF,EAAE,KAAKA,EAAE,MAAMM,CAAC,CAAC,EAAEA,CAAC,CAAC,IAAIy3F,GAAG,KAAK,CAAC,YAAYj3F,EAAE,CAAC,KAAK,cAAc,KAAK,KAAK,QAAQ,KAAK,KAAK,SAAS,GAAG,KAAK,oBAAoB,GAAG,KAAK,YAAY,CAAC,EAAE,IAAIZ,EAAEua,EAAE,EAAE,UAAU,eAAe,EAAE3Z,GAAG,MAAM,KAAK,GAAGA,EAAE8vF,GAAG1wF,EAAEY,CAAC,GAAG,KAAK,GAAG+vF,GAAG3wF,CAAC,EAAE,IAAI,EAAE,2BAA2BK,EAAE,8BAA8B,GAAG,KAAK,6BAA6B,KAAK,GAAG,aAAa,6BAA6B,EAAEka,EAAE,EAAE,UAAU,eAAe,IAAI,EAAE,CAAC,IAAI1Y,EAAE,oBAAoBC,EAAE,yBAAyB,GAAG,KAAK,sBAAsB+sF,GAAG,KAAK,GAAGhtF,CAAC,EAAE4tF,GAAG,KAAK,GAAG3tF,CAAC,EAAE,KAAK,0BAA0B+sF,GAAG,KAAK,GAAG/sF,CAAC,UAAUyY,EAAE,EAAE,IAAI,0BAA0B,EAAE,MAAM,IAAI,MAAM,oHAAoH,EAAE,GAAG,KAAK,0BAA0B,KAAK,GAAG,aAAa,CAAC,EAAEk1E,GAAG,KAAK,GAAGpvF,CAAC,EAAE,KAAK,8BAA8BwuF,GAAG,KAAK,GAAGxuF,CAAC,UAAUka,EAAE,EAAE,IAAI,0BAA0B,EAAE,MAAM,IAAI,MAAM,6HAA6H,CAAC,SAAS,EAAE,yBAAyBk1E,GAAG,KAAK,GAAG,CAAC,EAAE,KAAK,0BAA0B,KAAK,GAAG,aAAa,CAAC,UAAUA,GAAG,KAAK,GAAGpvF,CAAC,EAAE,KAAK,8BAA8B,KAAK,GAAG,aAAaA,CAAC,MAAO,OAAM,IAAI,MAAM,qDAAqD,EAAE,KAAK,aAAa02F,GAAG,KAAK,EAAE,EAAE,KAAK,YAAYH,GAAG,KAAK,EAAE,EAAE,KAAK,YAAYtI,GAAG,KAAK,EAAE,EAAE,KAAK,cAAcgD,GAAG,KAAK,GAAG,KAAK,yBAAyB,CAAC,CAAC,IAAI,OAAO,CAAC,OAAO/2E,EAAE,EAAE,QAAQ,OAAO,CAAC,CAAC,SAAS,CAAC,GAAG,KAAK,SAAS,OAAO,KAAK,SAAS,MAAM,QAAQ,KAAK,sKAAsK,EAAE,KAAK,eAAe,MAAM,QAAQ,KAAK,oMAAoM,EAAE,IAAI3Z,EAAE,KAAK,GAAGutF,GAAGvtF,EAAE,IAAIA,EAAE,OAAO,CAAC,EAAEutF,GAAGvtF,EAAE,IAAIA,EAAE,gBAAgBA,EAAE,YAAY,IAAI,CAAC,EAAEutF,GAAGvtF,EAAE,IAAIA,EAAE,kBAAkB,KAAK,WAAW,CAAC,EAAEutF,GAAGvtF,EAAE,IAAIA,EAAE,WAAWA,EAAE,aAAa,IAAI,CAAC,EAAEutF,GAAGvtF,EAAE,IAAIA,EAAE,WAAWA,EAAE,qBAAqB,IAAI,CAAC,EAAEutF,GAAGvtF,EAAE,IAAIA,EAAE,aAAa,KAAK,WAAW,CAAC,EAAE,KAAK,SAAS,EAAE,CAAC,2BAA2BA,EAAEZ,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE22F,GAAG,KAAK,GAAG/1F,EAAEZ,EAAE,KAAK,aAAa,CAAC,CAAC,2BAA2BY,EAAEZ,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEy2F,GAAG,KAAK,GAAG71F,EAAEZ,EAAE,KAAK,aAAa,CAAC,CAAC,iCAAiCY,EAAEZ,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE82F,GAAG,KAAK,GAAGl2F,EAAEZ,EAAE,KAAK,aAAa,CAAC,CAAC,yBAAyBY,EAAEZ,EAAE,CAAC,KAAK,gBAAgB,EAAE23F,GAAG,KAAK,GAAG/2F,EAAEZ,CAAC,CAAC,CAAC,2BAA2BY,EAAEZ,EAAE,EAAEK,EAAE,CAAC,KAAK,gBAAgB,EAAEq3F,GAAG,KAAK,GAAG92F,EAAEZ,EAAE,EAAEK,EAAE,KAAK,aAAa,CAAC,CAAC,iCAAiCO,EAAEZ,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE02F,GAAG,KAAK,GAAG91F,EAAEZ,EAAE,KAAK,aAAa,CAAC,CAAC,0BAA0BY,EAAEZ,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE62F,GAAG,KAAK,GAAGj2F,EAAEZ,EAAE,KAAK,aAAa,CAAC,CAAC,oBAAoBY,EAAE,CAAC,KAAK,gBAAgB,EAAE,KAAK,gBAAgBA,IAAIuvF,GAAG,KAAK,GAAG,KAAK,WAAW,EAAE,KAAK,cAAc,MAAMhC,GAAG,KAAK,GAAG,IAAI,KAAK,GAAG,cAAcvtF,CAAC,CAAC,CAAC,CAAC,gDAAgDA,EAAEZ,EAAE,EAAE,CAAC,OAAO,KAAK,qBAAqBY,EAAE,IAAIq2F,GAAG,KAAK,GAAGj3F,EAAE,EAAE,KAAK,aAAa,CAAC,CAAC,CAAC,+BAA+BY,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAE,CAAC,OAAOs1F,GAAG,KAAK,GAAGx2F,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAE,KAAK,aAAa,CAAC,CAAC,gCAAgClB,EAAEZ,EAAE,CAAC,OAAOk3F,GAAG,KAAK,GAAGt2F,EAAEZ,CAAC,CAAC,CAAC,wBAAwBY,EAAEZ,EAAE,EAAE,CAAC,KAAK,yBAAyBY,CAAC,EAAE,IAAIP,EAAEm2F,GAAG,KAAK,GAAGx2F,EAAE,EAAE,KAAK,aAAa,EAAE,OAAO,KAAK,2BAA2B,EAAEK,CAAC,CAAC,uBAAuB,CAAC,IAAIO,EAAE,KAAK,YAAY,KAAK,EAAE,EAAE,OAAO,KAAK,UAAUA,CAAC,CAAC,CAAC,YAAYA,EAAE,CAAC,IAAIZ,EAAE,EAAE,GAAGua,EAAE,EAAE,QAAQ,yBAAyB,EAAE,CAAC,IAAIla,EAAEO,EAAEiB,EAAExB,EAAE,UAAUA,EAAE,2BAA2B,CAAC,EAAEO,EAAE,MAAM,EAAE,EAAE,IAAI,CAAC,IAAIkB,EAAEzB,EAAE,eAAewB,EAAE,EAAE,CAAC,EAAE,OAAOC,IAAIzB,EAAE,kBAAkByB,IAAIzB,EAAE,mBAAmB,EAAEL,EAAE6B,CAAC,MAAM0Y,EAAE,EAAE,UAAU,8CAA8C,EAAE,GAAGva,EAAE,KAAK,WAAW,EAAE,KAAK,SAAS,EAAE,EAAE,IAAI,KAAK,iBAAiBA,EAAEua,EAAE,EAAE,UAAU,8CAA8C,CAAC,GAAG,EAAE,IAAI,GAAG,MAAM,CAAC,MAAMva,EAAE,cAAc,CAAC,CAAC,CAAC,gCAAgCY,EAAEZ,EAAE,EAAE,CAAC,OAAO,KAAK,qBAAqBY,EAAE,IAAIu2F,GAAG,KAAK,GAAGn3F,EAAE,CAAC,CAAC,CAAC,CAAC,cAAcY,EAAE,CAAC,KAAK,gBAAgB,EAAE,IAAIZ,EAAE,KAAK,GAAG,KAAK,cAAc,OAAO,KAAK,aAAag3F,GAAGh3F,CAAC,GAAG,IAAI,EAAEuuF,GAAGvuF,CAAC,EAAE,OAAOmuF,GAAGnuF,EAAE,IAAIA,EAAE,aAAa,EAAE,KAAK,YAAY,CAAC,EAAEmuF,GAAGnuF,EAAE,IAAIA,EAAE,aAAa,EAAEY,CAAC,CAAC,EAAEmvF,GAAG/vF,EAAE,CAAC,EAAE,KAAK,OAAOswF,GAAGtwF,EAAE,CAAC,EAAE,KAAK,sBAAsB,KAAK,WAAW,CAAC,EAAE,KAAK,oBAAoBu2F,GAAGv2F,EAAE,KAAK,QAAQ,KAAK,YAAY,GAAG,CAAC,CAAC,cAAcY,EAAE,CAAC,KAAK,gBAAgB,EAAEA,IAAI,KAAK,UAAU,KAAK,QAAQ,MAAMA,GAAG,MAAMutF,GAAG,KAAK,GAAG,IAAI,KAAK,GAAG,cAAcvtF,CAAC,CAAC,CAAC,CAAC,WAAWA,EAAE,CAAC,KAAK,gBAAgB,EAAE,KAAK,QAAQA,EAAE,KAAK,SAAS,MAAM,KAAK,OAAO0vF,GAAG,KAAK,GAAG,KAAK,OAAO,EAAEnC,GAAG,KAAK,GAAG,IAAI,KAAK,GAAG,WAAWvtF,CAAC,CAAC,CAAC,CAAC,mBAAmBA,EAAEZ,EAAE,EAAE,GAAG,CAAC,OAAO,KAAK,gBAAgB,EAAE,EAAEkvF,GAAG,KAAK,GAAGtuF,EAAEZ,CAAC,EAAEivF,GAAG,KAAK,GAAGruF,EAAEZ,CAAC,CAAC,CAAC,qBAAqBY,EAAEZ,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEmuF,GAAG,KAAK,GAAG,IAAI,KAAK,GAAG,kBAAkBvtF,EAAEZ,CAAC,CAAC,CAAC,CAAC,0BAA0BY,EAAEZ,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE,KAAK,GAAG,mBAAmBY,EAAEZ,CAAC,CAAC,CAAC,sBAAsBY,EAAEZ,EAAE,EAAE,CAAC,KAAK,gBAAgB,EAAE,KAAK,iBAAiB,EAAEguF,GAAG,KAAK,GAAGptF,EAAEZ,EAAE,CAAC,CAAC,CAAC,uBAAuBY,EAAEZ,EAAE,EAAE,CAAC,KAAK,6BAA6BY,EAAE,EAAEZ,CAAC,CAAC,CAAC,6BAA6BY,EAAEZ,EAAE,EAAE,CAAC,KAAK,gBAAgB,EAAE,GAAG,CAACK,EAAEwB,CAAC,EAAEuvF,GAAGpxF,EAAE,CAAC,EAAE,KAAK,6BAA6BY,EAAEP,EAAEwB,CAAC,CAAC,CAAC,2BAA2BjB,EAAEZ,EAAE,EAAEK,EAAE,CAAC,KAAK,iCAAiC,EAAEO,EAAEP,EAAEL,CAAC,CAAC,CAAC,iCAAiCY,EAAEZ,EAAE,EAAEK,EAAE,CAAC,MAAM,IAAI,MAAM,mDAAmD,CAAC,CAAC,eAAe,CAAC,KAAK,SAAS,MAAMiwF,GAAG,KAAK,GAAG,KAAK,OAAO,EAAED,GAAG,KAAK,EAAE,CAAC,CAAC,gBAAgB,CAAC,KAAK,gBAAgB,EAAE,KAAK,iBAAiB,EAAE,IAAIzvF,EAAE,KAAK,GAAG,KAAK,OAAO,KAAK,cAAc,EAAEutF,GAAGvtF,EAAE,IAAIA,EAAE,aAAaA,EAAE,UAAU,EAAEA,EAAE,eAAe,CAAC,CAAC,CAAC,CAAC,gCAAgC,CAAC,KAAK,gBAAgB,EAAEutF,GAAG,KAAK,GAAG,IAAI,KAAK,GAAG,OAAO,CAAC,CAAC,CAAC,wBAAwB,CAAC,OAAO,KAAK,6BAA6B,OAAO,KAAK,4BAA4BU,GAAG,KAAK,GAAGt0E,EAAE,EAAE,UAAU,8CAA8C,IAAI,EAAE,kCAAkC,0BAA0B,GAAG,KAAK,2BAA2B,CAAC,8BAA8B,CAAC,OAAO,KAAK,uBAAuB,CAAC,CAAC,8BAA8B,CAAC,OAAO,KAAK,uBAAuB,CAAC,CAAC,YAAY,CAAC,GAAGA,EAAE,EAAE,UAAU,8CAA8C,IAAI,EAAE,CAAC,IAAI,EAAE,KAAK,GAAGla,EAAE,KAAK,6BAA6B,EAAEwB,EAAE,EAAE,YAAY,EAAE,OAAO,EAAE,WAAWxB,EAAE,iBAAiBwB,CAAC,EAAEA,CAAC,CAAC,IAAIjB,EAAE,KAAK,6BAA6B,EAAEZ,EAAEY,EAAE,eAAe,EAAE,OAAOA,EAAE,cAAcA,EAAE,iBAAiBZ,CAAC,EAAEA,CAAC,CAAC,UAAU,CAAC,GAAGua,EAAE,EAAE,UAAU,8CAA8C,IAAI,EAAE,CAAC,IAAIva,EAAE,KAAK,GAAG,EAAE,KAAK,6BAA6B,EAAEA,EAAE,SAAS,EAAE,gBAAgB,EAAE,MAAM,CAAC,IAAIY,EAAE,KAAK,6BAA6B,EAAEA,EAAE,YAAYA,EAAE,gBAAgB,CAAC,CAAC,MAAM,uBAAuBA,EAAE,CAAC,OAAO,MAAMgmB,EAAE,YAAY,IAAI,KAAK,UAAU,KAAK,iBAAiBhmB,EAAE2Z,EAAE,EAAE,UAAU,8CAA8C,CAAC,CAAC,EAAE,KAAK,aAAa3Z,EAAE2Z,EAAE,EAAE,UAAU,8CAA8C,CAAC,CAAC,CAAC,aAAa3Z,EAAEZ,EAAE,CAAC,GAAGA,IAAI,EAAE,OAAO,KAAK,GAAGA,IAAI,EAAE,CAAC,IAAI,EAAE,KAAK,GAAG,OAAO,EAAE,kBAAkBY,EAAE,EAAE,YAAY,EAAE,GAAG,KAAK,CAAC,IAAI,EAAE,KAAK,6BAA6B,EAAE,OAAO,EAAE,kBAAkBA,EAAE,EAAE,gBAAgB,EAAE,GAAG,CAAC,CAAC,iBAAiBA,EAAEZ,EAAE,CAAC,GAAGA,IAAI,EAAE,MAAM,GAAG,GAAGA,IAAI,EAAE,CAAC,IAAI,EAAE,KAAK,GAAGK,EAAE,KAAK,6BAA6B,EAAEwB,EAAE,EAAE,kBAAkBjB,EAAE,EAAE,sBAAsB,EAAE,OAAO,KAAK,UAAU,OAAO,KAAK,SAAS,KAAK,GAAG,aAAaP,EAAE,gBAAgB,GAAGwB,GAAG,CAAC,KAAK,QAAQ,KAAK,CAAC,IAAI,EAAE,KAAK,6BAA6B,EAAExB,EAAE,EAAE,kBAAkBO,EAAE,EAAE,0BAA0B,EAAE,OAAO,KAAK,UAAU,OAAO,KAAK,SAAS,KAAK,GAAG,aAAa,EAAE,gBAAgB,GAAGP,GAAG,CAAC,KAAK,QAAQ,CAAC,CAAC,UAAUO,EAAE,CAAC,OAAO,IAAI,QAAQZ,GAAG,CAAC,KAAK,cAAc,IAAIY,EAAE,cAAc,EAAE,IAAIZ,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIY,EAAEk3F,GAAI,KAAK,YAAY,IAAI93F,GAAGA,EAAE,QAAQ,CAAC,EAAE,QAAQA,EAAE,EAAEA,GAAGY,EAAE,EAAEZ,EAAE,CAAC,GAAG,CAAC,UAAU,CAAC,EAAE,KAAK,YAAYA,GAAG,EAAE,CAAC,CAAC,KAAK,YAAY,KAAK,YAAY,MAAMY,EAAE,CAAC,CAAC,CAAC,cAAcA,EAAEZ,EAAE,CAAC,GAAG,KAAK,YAAY,KAAK,CAAC,SAASY,EAAE,UAAUZ,CAAC,CAAC,EAAE,KAAK,YAAY,OAAO,EAAE,OAAO,IAAI,EAAE,qBAAqBua,EAAE,EAAE,WAAW,EAAEA,EAAE,EAAE,SAAS,iBAAiB,KAAKA,EAAE,EAAE,QAAQ,GAAGqM,EAAE,YAAY,KAAK,KAAK,UAAU,EAAE,KAAK,YAAY,SAAS,GAAG,IAAI,EAAE,KAAK,CAAC,CAAC,CAAC,yBAAyBhmB,EAAE,CAAC,KAAK,gBAAgB,EAAEmtF,GAAG,KAAK,GAAGntF,EAAE,KAAK,WAAW,EAAE,KAAK,OAAOyvF,GAAG,KAAK,EAAE,CAAC,CAAC,4BAA4B,CAAC,KAAK,eAAe,MAAMtC,GAAG,KAAK,GAAG,KAAK,cAAc,KAAK,WAAW,EAAE,KAAK,OAAOsC,GAAG,KAAK,EAAE,GAAGF,GAAG,KAAK,GAAG,KAAK,WAAW,CAAC,CAAC,qBAAqBvvF,EAAEZ,EAAE,CAAC,KAAK,yBAAyBY,CAAC,EAAE,IAAI,EAAEZ,EAAE,EAAE,OAAO,KAAK,2BAA2B,EAAE,CAAC,CAAC,6BAA6BY,EAAEZ,EAAE,EAAE,CAAC,KAAK,gBAAgB,EAAE,IAAIK,EAAE,KAAK,GAAG0tF,GAAG1tF,EAAEO,EAAE,KAAK,WAAW,EAAE,KAAK,OAAOyvF,GAAGhwF,CAAC,EAAE,KAAK,cAAcO,EAAEutF,GAAG9tF,EAAE,IAAIA,EAAE,SAAS,EAAE,EAAEL,EAAE,CAAC,CAAC,EAAEmuF,GAAG9tF,EAAE,IAAIA,EAAE,QAAQ,EAAE,EAAEL,EAAE,CAAC,CAAC,CAAC,CAAC,iCAAiCY,EAAEZ,EAAE,EAAEK,EAAE,CAAC,KAAK,gBAAgB,EAAE8tF,GAAG,KAAK,GAAG,IAAI,KAAK,GAAG,QAAQvtF,EAAEZ,EAAE,EAAEK,CAAC,CAAC,CAAC,CAAC,iBAAiB,CAAC,GAAG,KAAK,SAAS,MAAM,IAAI,MAAM,yCAAyC,CAAC,CAAC,kBAAkB,CAAC,GAAG,KAAK,SAAS,KAAK,MAAM,IAAI,MAAM,kCAAkC,CAAC,CAAC,EAAE,SAASy3F,GAAIh4F,EAAE,CAAC,IAAI,EAAE,EAAE,KAAK,EAAEA,EAAE,QAAQA,EAAE,GAAG,EAAE,EAAE,EAAE,CAAC,OAAO,EAAE,CAAC,CAAC,GAAG,CAAC,QAAQi4F,GAAG,aAAaC,GAAG,mBAAmBC,GAAG,SAASC,GAAG,SAASC,GAAG,WAAWC,GAAG,UAAUC,GAAG,QAAQC,GAAG,UAAUC,GAAG,UAAUC,GAAG,aAAaC,GAAG,aAAaC,GAAG,YAAYC,GAAG,iBAAiBC,GAAG,SAASC,GAAG,cAAcC,GAAG,aAAaC,GAAG,QAAQC,GAAG,QAAQC,GAAG,YAAYC,GAAG,YAAYC,GAAG,aAAaC,GAAG,QAAQC,GAAG,aAAaC,GAAG,SAASC,GAAG,iBAAiBC,GAAG,gBAAgBC,GAAG,yBAAyBC,GAAG,UAAUC,GAAG,UAAUC,GAAG,YAAYC,GAAG,YAAYC,GAAG,cAAcC,GAAG,UAAUC,GAAG,wBAAwBC,GAAG,kBAAkBC,GAAG,2BAA2BC,GAAG,SAASC,GAAG,iBAAiBC,GAAG,iBAAiBC,GAAG,gBAAgBC,GAAG,2BAA2BC,GAAG,QAAQC,GAAG,SAASC,GAAG,SAASC,GAAG,cAAcC,GAAG,WAAWC,EAAE,EAAEnpB,GAAG,SAASopB,GAAGh7F,EAAE,EAAE,CAAC,MAAM,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,GAAG,EAAE,MAAM,EAAE,CAAC,EAAE,IAAIE,GAAG,GAAGF,KAAKE,GAAG,CAAC,CAAC,SAAS+6F,GAAGj7F,EAAE,EAAE,CAAC,OAAO,IAAI,EAAE,CAACA,CAAC,EAAEg7F,GAAGh7F,EAAE,CAAC,CAAC,CAAC,SAASk7F,GAAGl7F,EAAE,EAAE,CAAC,GAAGA,IAAI,EAAE,MAAM,KAAK,IAAIE,EAAE,GAAG,QAAQI,EAAE,EAAEA,EAAEN,EAAEM,IAAIJ,GAAG,EAAEI,GAAGA,EAAEN,EAAE,IAAIE,GAAG,KAAK,OAAOA,CAAC,CAAC,IAAIi7F,GAAG,KAAK,CAAC,YAAYr6F,EAAE,CAAC,GAAG,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAYA,EAAE,KAAK,KAAKA,EAAE,OAAO,KAAK,oBAAoBk1F,GAAG,KAAK,YAAY,MAAM,EAAE,KAAK,OAAO,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA,YAI//a,CAAC,IAAI91F,EAAE+6F,GAAG,KAAK,KAAK,IAAI,EAAE,EAAEvF,GAAG,KAAK,IAAI,EAAEn1F,EAAE,KAAK,wBAAwBL,CAAC,EAAE6B,EAAE,KAAK,SAAS7B,CAAC,EAAE8B,EAAE,KAAK,UAAU9B,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA,YAEjI;AAAA;AAAA,eAEGK;AAAA;AAAA;AAAA,cAGDwB;AAAA;AAAA,6BAEeC;AAAA;AAAA;AAAA,OAGtB,CAAC,CAAC,mBAAmBlB,EAAE,CAAC,IAAIZ,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,GAAG,EAAE,IAAI,QAAQK,EAAE,EAAEA,GAAG,EAAEA,IAAI,CAAC,IAAIwB,EAAE,GAAG,IAAI,EAAE,IAAI,UAAUxB,IAAI,EAAE,IAAI,QAAQ,QAAQyB,EAAE,EAAEA,EAAE,KAAK,KAAKA,IAAID,EAAE,GAAGjB,EAAEA,EAAE,OAAO,EAAEkB,MAAMD,EAAE7B,EAAE,KAAK6B,CAAC,CAAC,CAAC,OAAO7B,CAAC,CAAC,wBAAwBY,EAAE,CAAC,GAAG,KAAK,OAAO,EAAE,MAAM,QAAQ,KAAK,oBAAoB,WAAW,KAAK,YAAY,KAAK,IAAIZ,EAAE,GAAG,QAAQ,EAAE,KAAK,KAAK,EAAE,EAAE,KAAK,KAAK,IAAIA,GAAG,GAAGY,EAAE,SAAS,KAAK,oBAAoB,YAAY,KAAK,KAAK,YAAY,KAAK,EAAE,KAAK,KAAK,IAAIZ,GAAG,MAAM,OAAOA,CAAC,CAAC,SAASY,EAAE,CAAC,GAAG,KAAK,OAAO,EAAE,MAAM,GAAG,IAAIZ,EAAEY,EAAE,MAAM,EAAE,EAAE,EAAE,KAAK,oBAAoB,YAAY,KAAK,YAAY,KAAK,YAAY,KAAK,KAAK,GAAGP,EAAE,KAAK,oBAAoB,YAAY,KAAK,YAAY,KAAK,YAAY,KAAK,KAAK,GAAG,MAAM;AAAA,gBAC3rBL,EAAE;AAAA,gBACFA,EAAE;AAAA;AAAA;AAAA;AAAA,4BAIU;AAAA,4BACAK;AAAA,KACvB,CAAC,UAAUO,EAAE,CAAC,IAAIZ,EAAE,KAAK,mBAAmBY,CAAC,EAAE,OAAO,KAAK,OAAO,EAAE,wBAAwB,KAAK,oBAAoB,WAAW,KAAK,YAAY,gCAAgC,QAAQZ,EAAE;AAAA,gCAChKA,EAAE;AAAA,gCACFA,EAAE;AAAA,yCACOA,EAAE,KAAK,CAAC,EAAMk7F,GAAG,KAAK,CAAC,YAAYt6F,EAAEZ,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,eAAe,CAAC,CAAC,KAAK,aAAa,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYY,EAAE,KAAK,oBAAoBk1F,GAAG,KAAK,YAAY,MAAM,EAAE,IAAI,EAAE,GAAG,QAAQz1F,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIwB,EAAE,eAAexB,EAAE,IAAI,IAAIwB,GAAG,kBAAkBxB,EAAE,IAAIwB,GAAG,kBAAkB,GAAG;AAAA,UACzXA;AAAA,UACAxB,EAAE,EAAE,0CAA0C;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mBAMrCA;AAAA;AAAA,UAETA,EAAE,EAAE,IAAI;AAAA,OACX,CAAC,KAAK,SAAS;AAAA,QACd86F,GAAIn7F,EAAE,KAAK,mBAAmB;AAAA,QAC9B,KAAK,oBAAoByyF,GAAG,EAAED,GAAG5xF,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,qBAQrB,KAAK,oBAAoB,cAAcA,EAAE;AAAA,qBACzC,KAAK,oBAAoB,cAAcA,EAAE;AAAA;AAAA,UAEpD;AAAA;AAAA;AAAA;AAAA,KAIL,CAAC,EAAE,SAASu6F,GAAIr7F,EAAE,EAAE,CAAC,MAAM;AAAA;AAAA,QAExB,EAAEyyF,GAAG,CAAC,IAAI,IAAI,GAAG,EAAE,YAAY,EAAEH,GAAG,CAAC,IAAI,IAAI,GAAG,EAAEtyF,CAAC;AAAA;AAAA;AAAA,GAGxD,CAAC,IAAIs7F,GAAG,KAAK,CAAC,YAAYx6F,EAAE,CAAC,KAAK,MAAMA,EAAE,KAAK,gBAAgB,EAAE,KAAK,gBAAgB,EAAE,KAAK,mBAAmB,EAAE,KAAK,cAAc,EAAE,KAAK,aAAa,CAAC,EAAE,KAAK,WAAW,GAAG,KAAK,aAAa,CAAC,CAAC,CAAC,eAAeA,EAAEZ,EAAE,EAAE,CAAC,IAAIK,EAAEg7F,GAAGr7F,EAAE,CAAC,EAAE6B,EAAEy5F,GAAG16F,EAAEP,EAAE,CAAC,EAAEwB,KAAK,KAAK,eAAe,KAAK,aAAaA,GAAG,CAAC,GAAGA,KAAK,KAAK,eAAe,KAAK,aAAaA,GAAG,CAAC,GAAG,IAAIC,EAAEy5F,GAAG36F,EAAEP,EAAE,KAAK,MAAM,GAAG,KAAK,MAAM,cAAc,CAAC,EAAE,GAAG,KAAK,aAAawB,GAAG,OAAO,EAAE,CAAC,KAAK,kBAAkB,KAAK,kBAAkB,KAAK,eAAeC,EAAE,KAAK,IAAI,EAAE,IAAIE,EAAE,KAAK,aAAaH,GAAG,MAAM,EAAE,OAAO,KAAK,aAAaA,GAAG,KAAKG,CAAC,EAAEA,CAAC,CAAC,IAAID,EAAE,OAAO1B,IAAI2wF,GAAG,mBAAmBjvF,EAAE,KAAK,MAAM,0BAA0BnB,EAAE,GAAGA,EAAE,EAAE,EAAEP,IAAI2wF,GAAG,mBAAmBjvF,EAAE,KAAK,MAAM,iCAAiCnB,EAAE,GAAGA,EAAE,EAAE,EAAEP,IAAI2wF,GAAG,iBAAiBjvF,EAAE,KAAK,MAAM,2BAA2BnB,EAAE,GAAGA,EAAE,EAAE,EAAEP,IAAI2wF,GAAG,iBAAiBjvF,EAAE,KAAK,MAAM,2BAA2BnB,EAAE,GAAGA,EAAE,EAAE,EAAEP,IAAI2wF,GAAG,2BAA2BjvF,EAAE,KAAK,MAAM,iCAAiCnB,EAAE,GAAGA,EAAE,EAAE,GAAG,KAAK,aAAaiB,GAAG,KAAKE,CAAC,EAAE,KAAK,kBAAkB,KAAK,oBAAoBD,EAAE,KAAK,IAAI,EAAEC,CAAC,CAAC,eAAenB,EAAEZ,EAAE,EAAEK,EAAE,CAAC,GAAG,KAAK,cAAc,KAAK,OAAO,IAAIwB,EAAEw5F,GAAG,EAAEh7F,CAAC,EAAEyB,EAAEw5F,GAAGt7F,EAAE6B,EAAExB,CAAC,EAAEyB,KAAK,KAAK,eAAe,KAAK,aAAaA,GAAG,CAAC,GAAG,IAAIC,EAAEw5F,GAAGv7F,EAAE6B,EAAE,KAAK,MAAM,GAAG,KAAK,MAAM,cAAcxB,CAAC,EAAE2B,EAAEuY,EAAE,EAAE,IAAI,gCAAgC,EAAEvY,IAAI,IAAI,KAAK,mBAAmBA,GAAG,KAAK,MAAM,oBAAoBpB,EAAE,OAAO,EAAE,KAAK,oBAAoBmB,IAAI,KAAK,aAAaD,GAAG,KAAKlB,CAAC,EAAE,KAAK,kBAAkB,KAAK,eAAemB,GAAG,KAAK,kBAAkB,IAAI,EAAE,KAAK,aAAaD,GAAGY,EAAE,EAAE,QAAQ9B,CAAC,EAAE,GAAG8B,EAAE,EAAE,MAAM,IAAI,MAAM,0EAA0E,EAAE,EAAE,OAAOA,EAAE,CAAC,EAAE,KAAK,IAAI,CAAC,CAAC,KAAK,CAAC,GAAG,CAAC,KAAK,WAAW,OAAO,IAAI9B,EAAE,KAAK,gBAAgB,KAAK,gBAAgB,QAAQ,IAAI,YAAY,GAAG,KAAK,qBAAqB,KAAK,kBAAkB,IAAIA,IAAI,EAAE,IAAIZ,EAAE,KAAK,cAAc,KAAK,mBAAmB,QAAQ,IAAI,oBAAoB,KAAK,oBAAoB,EAAE,QAAQ,IAAI,iBAAiB,KAAK,kBAAkB,KAAK,MAAM,IAAIA,CAAC,KAAK,CAAC,CAAC,IAAI,mBAAmB,CAAC,OAAO,KAAK,kBAAkB,CAAC,IAAI,cAAc,CAAC,OAAO,KAAK,aAAa,CAAC,oBAAoB,CAAC,OAAO,KAAK,eAAe,CAAC,oBAAoB,CAAC,OAAO,KAAK,eAAe,CAAC,SAAS,CAAC,GAAG,KAAK,cAAc,KAAK,CAAC,QAAQY,KAAK,KAAK,aAAa,KAAK,aAAaA,GAAG,QAAQZ,GAAG,CAAC,KAAK,MAAM,oBAAoBA,EAAE,OAAO,CAAC,CAAC,EAAE,QAAQY,KAAK,KAAK,aAAa,KAAK,aAAaA,GAAG,QAAQZ,GAAG,CAAC,KAAK,MAAM,oBAAoBA,EAAE,OAAO,CAAC,CAAC,EAAE,KAAK,aAAa,KAAK,KAAK,aAAa,KAAK,KAAK,gBAAgB,EAAE,KAAK,gBAAgB,EAAE,KAAK,mBAAmB,EAAE,KAAK,cAAc,CAAC,CAAC,CAAC,EAAE,SAASw7F,GAAI17F,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,GAAG,IAAIE,EAAE,KAAK,MAAO,GAAE,GAAG,IAAIA,EAAE,KAAK,MAAO,GAA6B,GAAxB,IAAIA,EAAE,SAAqB,IAAIF,EAAE,KAAK,MAAO,IAAG,GAAG,IAAIE,EAAE,QAAQ,MAAO,GAAE,GAAG,IAAIA,EAAE,MAAM,MAAO,GAAE,MAAM,IAAI,MAAM,2BAA2B,GAAG,CAAC,CAAC,SAASu7F,GAAGz7F,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAEo7F,GAAI,EAAEr7F,CAAC,EAAE,EAAE,GAAGC,EAAE,CAAC,GAAG,CAAC2B,EAAEC,CAAC,EAAEmvF,GAAGtxF,EAAE,GAAGA,EAAE,EAAE,EAAE,EAAEkC,EAAEC,CAAC,KAAK,CAAC,GAAG,CAACD,EAAEC,CAAC,EAAEgvF,GAAGnxF,EAAE,GAAGA,EAAE,EAAE,EAAE,EAAEkC,EAAEC,CAAC,CAAC,IAAIF,EAAEy5F,GAAIx7F,EAAE,CAAC,EAAE,OAAO,EAAE+B,CAAC,CAAC,SAAS05F,GAAI37F,EAAE,EAAE,CAAC,OAAOA,EAAE,CAAC,KAAKkxF,GAAG,mBAAmB,OAAOwG,GAAG,CAAC,EAAE,KAAKxG,GAAG,mBAAmB,OAAOsG,GAAG,CAAC,EAAE,KAAKtG,GAAG,iBAAiB,OAAOuG,GAAG,CAAC,EAAE,KAAKvG,GAAG,iBAAiB,OAAOqG,GAAG,CAAC,EAAE,KAAKrG,GAAG,yBAAyB,OAAOyG,GAAG,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,iCAAiC33F,GAAG,CAAC,CAAC,CAAC,SAAS47F,GAAI57F,EAAE,CAAC,OAAOya,EAAE,EAAE,QAAQ,8BAA8B,EAAEza,EAAEkxF,GAAG,mBAAmBA,GAAG,iBAAiBlxF,EAAEkxF,GAAG,mBAAmBA,GAAG,gBAAgB,CAAC,SAASqK,GAAGv7F,EAAE,EAAE,CAAC,GAAGA,IAAIixF,GAAG,OAAO,OAAOC,GAAG,mBAAmB,GAAGlxF,IAAIixF,GAAG,QAAQjxF,GAAG,KAAK,OAAO47F,GAAI,CAAC,EAAE,GAAG57F,IAAIixF,GAAG,UAAUjxF,IAAIixF,GAAG,OAAO,OAAOC,GAAG,yBAAyB,MAAM,IAAI,MAAM,gCAAgClxF,GAAG,CAAC,CAAC,SAASw7F,GAAGx7F,EAAE,EAAEE,EAAE,CAAC,MAAM,GAAGF,EAAE,MAAMA,EAAE,MAAM,KAAKE,GAAG,CAAC,IAAI27F,GAAG,KAAK,CAAC,YAAY/6F,EAAEZ,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAYY,EAAE,KAAK,oBAAoBk1F,GAAG,KAAK,YAAY,MAAM,EAAE,KAAK,SAAS;AAAA;AAAA,UAE9wH91F;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KASL,CAAC,EAAE47F,GAAG,0BAA0BC,GAAG,YAAYC,GAAG,iBAAqBC,GAAG,0CAA0CC,GAAGJ,GAAG;AAAA;AAAA,EAE7HK,GAAGL,GAAG;AAAA;AAAA,EAENM,GAAG,YAAYC,GAAG,sCAA0CC,GAAG,YAAYC,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAS9EC,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUHC,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUHC,GAAG,sCAAsCC,GAAG,KAAK,CAAC,YAAY77F,EAAEZ,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAYY,EAAE,KAAK,oBAAoBk1F,GAAG,KAAK,YAAY,MAAM,EAAE,KAAK,SAAS;AAAA;AAAA,UAEpN91F;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KASL,CAAC,EAAM08F,GAAG,KAAK,CAAC,YAAY97F,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAYA,EAAE,KAAK,oBAAoBk1F,GAAG,KAAK,YAAY,MAAM,EAAE,IAAI91F,EAAEY,EAAE,OAAO,EAAEm6F,GAAG,KAAK/6F,CAAC,EAAEK,EAAEm1F,GAAGx1F,CAAC,EAAE6B,EAAEm5F,GAAGh7F,EAAE,CAAC,EAAE8B,EAAE,EAAE,MAAM,EAAE,EAAEC,EAAE/B,GAAG,EAAE,KAAK,QAAQ8B,EAAE,KAAK,GAAG,KAAK,KAAK,SAAS;AAAA;AAAA,UAElRzB;AAAA,kCACwBwB;AAAA;AAAA,4CAEUE;AAAA;AAAA,KAEvC,CAAC,EAAM46F,GAAIx+C,GAAG,UAAUy+C,GAAI,KAAKC,GAAI,KAAKC,GAAG,CAAC,EAAE,SAASC,GAAIj9F,EAAE,CAAC,OAAOA,KAAKg9F,KAAKA,GAAGh9F,GAAG,CAAC,GAAGg9F,GAAGh9F,EAAE,CAAC,IAAIk9F,GAAIziF,EAAE,EAAE,UAAU,4BAA4B,EAAE0iF,GAAI,IAAI,SAASC,IAAK,CAAC,OAAO3iF,EAAE,EAAE,OAAO,QAAQ,KAAK,KAAKA,EAAE,EAAE,OAAO,OAAO,OAAOA,EAAE,EAAE,OAAO,OAAO,MAAM,OAAO,iBAAiB0iF,GAAI,KAAK,IAAI,CAAC,IAAIE,GAAG,cAAcjmF,EAAE,CAAC,YAAYtW,EAAE,CAAC,GAAG,MAAM,EAAE,KAAK,YAAY,IAAI,QAAQ,KAAK,gBAAgB,IAAI,QAAQ,KAAK,aAAa,IAAI,QAAQ,KAAK,cAAc,EAAE,KAAK,aAAa,EAAE,KAAK,eAAe,EAAE,KAAK,gBAAgB,EAAE,KAAK,kBAAkB,GAAG,KAAK,eAAe,EAAE,KAAK,SAAS,GAAG,CAAC2Z,EAAE,EAAE,QAAQ,WAAW,EAAE,MAAM,IAAI,MAAM,uCAAuC,EAAE,IAAIva,EAAE,GAAGY,GAAG,KAAK,CAAC,GAAGA,aAAai3F,GAAG73F,EAAEY,MAAM,CAAC,IAAI,EAAE+vF,GAAGp2E,EAAE,EAAE,UAAU,eAAe,EAAE3Z,CAAC,EAAEZ,EAAE,IAAI63F,GAAG,CAAC,CAAC,CAAC,KAAK,YAAY,CAAC,EAAE,KAAK,oBAAoB,EAAE,KAAK,CAAC,IAAI,EAAElH,GAAGp2E,EAAE,EAAE,UAAU,eAAe,CAAC,EAAEva,EAAE,IAAI63F,GAAG,CAAC,EAAE,KAAK,YAAYkF,GAAIxiF,EAAE,EAAE,UAAU,eAAe,CAAC,EAAE,KAAK,oBAAoB,EAAE,CAAC,KAAK,MAAMva,EAAE,KAAK,OAAO,KAAK,MAAM,GAAG,OAAO,KAAK,eAAe,IAAIo7F,GAAG,KAAK,KAAK,EAAE,KAAK,mBAAmB8B,GAAI,EAAE,KAAK,QAAQ,IAAIjmF,GAAG,KAAKmc,GAAG,CAAC,CAAC,CAAC,YAAY,CAAC,OAAO+pE,GAAG,YAAY,CAAC,YAAY,CAAC,OAAO,KAAK,QAAQ,WAAW,EAAE,KAAK,cAAc,CAAC,aAAav8F,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAE,CAAC,IAAIC,EAAE,KAAK,eAAe/B,EAAE,CAAC,EAAEgC,EAAE,KAAK,QAAQ,IAAID,EAAE,MAAM,EAAEC,EAAE,SAAS,GAAGA,EAAE,QAAQ,CAAC,QAAQpB,EAAE,SAAS,CAACP,EAAEwB,CAAC,CAAC,EAAEG,EAAE,SAAS,CAAC3B,EAAEwB,CAAC,EAAE,IAAI,EAAEutF,GAAGpvF,CAAC,EAAE0C,EAAE,IAAI0zF,GAAG,EAAE,GAAGt0F,CAAC,EAAE,EAAE,KAAK,gBAAgBY,EAAE,CAACX,CAAC,EAAE,EAAE,CAAC,CAAC1B,EAAEwB,CAAC,CAAC,CAAC,EAAE,OAAO,EAAE,MAAM7B,EAAEgC,EAAE,QAAQ,KAAK,KAAK,8BAA8BD,CAAC,EAAE,EAAE,MAAM,CAAC,MAAMnB,EAAEZ,EAAE,EAAE,CAAC,IAAIua,EAAE,EAAE,QAAQ,gCAAgC,GAAGA,EAAE,EAAE,QAAQ,OAAO,IAAI,KAAK,uBAAuB3Z,CAAC,EAAE,IAAI,aAAaA,GAAG,KAAK,MAAM,IAAI,MAAM,uEAAuE,EAAE,IAAIP,EAAE,CAAC,GAAG,KAAK,WAAW,CAAC,EAAE,OAAO,KAAK,QAAQ,IAAIA,EAAE,CAAC,MAAML,EAAE,MAAM,EAAE,OAAOY,EAAE,MAAMmwF,GAAG,OAAO,SAAS,CAAC,CAAC,EAAE1wF,CAAC,CAAC,SAASO,EAAE,CAAC,OAAO,KAAK,QAAQ,IAAIA,CAAC,EAAE,KAAK,QAAQ,IAAIA,CAAC,EAAE,SAAS,CAAC,CAAC,OAAOA,EAAE,CAAC,IAAIZ,EAAE,KAAK,QAAQ,IAAIY,CAAC,EAAEZ,EAAE,UAAU,CAAC,OAAOY,EAAE,CAAC,GAAG,KAAK,QAAQ,IAAIA,CAAC,EAAE,CAAC,IAAIZ,EAAE,KAAK,QAAQ,IAAIY,CAAC,EAAEZ,EAAE,UAAU,CAAC,CAAC,KAAKY,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,GAAG0Y,EAAE,EAAE,QAAQ,OAAO,GAAG,KAAK,uBAAuBva,CAAC,EAAEK,IAAI,YAAY,MAAM,IAAI,MAAM,uEAAuE,EAAE,KAAK,QAAQ,IAAIO,EAAE,CAAC,MAAM,EAAE,MAAMP,EAAE,OAAOL,EAAE,MAAM+wF,GAAG,OAAO,SAASlvF,CAAC,CAAC,CAAC,CAAC,8BAA8BjB,EAAE,CAAC,KAAK,YAAYA,EAAE,MAAM,CAAC,CAAC,SAASA,EAAE,CAAC,IAAIZ,EAAE,KAAK,QAAQ,IAAIY,CAAC,EAAE,CAAC,OAAO,EAAE,MAAMP,EAAE,mBAAmBwB,EAAE,MAAMC,EAAE,MAAMC,EAAE,SAASC,CAAC,EAAEhC,EAAE,GAAG8B,GAAG,KAAK,CAAC,IAAIc,EAAEZ,EAAEY,EAAE,IAAI65F,GAAG16F,EAAEm6F,EAAE,EAAEt5F,EAAE,IAAI+4F,GAAG55F,EAAEm6F,EAAE,EAAE,IAAIr5F,EAAE,KAAK,gBAAgBD,EAAE,CAAC,CAAC,OAAOhC,EAAE,MAAMmB,EAAE,MAAM1B,CAAC,CAAC,EAAEA,CAAC,EAAEyC,EAAE,KAAK,SAASD,EAAE,MAAM,EAAE,OAAO,KAAK,8BAA8BA,CAAC,EAAEC,CAAC,CAAC,GAAG,GAAG,KAAK,OAAO,KAAK,qBAAqBlC,CAAC,EAAE,GAAGP,IAAI,SAAS,OAAO,EAAE,IAAI,EAAE,KAAK,cAAc,KAAKqC,EAAE,IAAIA,EAAEkkB,EAAE,IAAI,GAAG,IAAI,EAAE,GAAGvmB,IAAI,YAAY,CAAC,IAAIuC,EAAE,KAAK,SAASf,EAAE,KAAK,MAAM,EAAEgB,EAAE,KAAK,SAAShB,EAAE,KAAK,MAAM,EAAE,EAAEy4C,EAAE,uBAAuB13C,EAAEC,CAAC,CAAC,MAAM,EAAE,KAAK,qBAAqBjC,CAAC,EAAE,OAAO,IAAI,KAAK,gBAAgBgmB,EAAE,IAAI,EAAElkB,GAAG,KAAK,qBAAqB9B,EAAE,CAAC,CAAC,CAAC,MAAM,KAAKA,EAAE,CAAC,GAAG,KAAK,YAAY,IAAIA,CAAC,EAAE,CAAC,IAAIkC,EAAE,KAAK,YAAY,IAAIlC,CAAC,EAAE,OAAO,IAAI,QAAQoD,GAAGlB,EAAE,KAAKkB,CAAC,CAAC,CAAC,CAAC,IAAIhE,EAAE,KAAK,QAAQ,IAAIY,CAAC,EAAE,CAAC,OAAO,EAAE,MAAMP,EAAE,MAAMwB,EAAE,MAAMC,EAAE,mBAAmBC,EAAE,SAASC,CAAC,EAAEhC,EAAE,GAAG6B,GAAG,KAAK,CAAC,IAAIiB,EAAEd,EAAEc,EAAE,IAAI25F,GAAGp8F,EAAE67F,EAAE,EAAEp5F,EAAE,IAAI64F,GAAGt7F,EAAE67F,EAAE,EAAE,IAAIl4F,EAAE,KAAK,gBAAgBlB,EAAE,CAAC,CAAC,OAAOlC,EAAE,MAAMP,EAAE,MAAMyB,CAAC,CAAC,EAAEA,CAAC,EAAEmC,EAAE,KAAK,KAAKD,EAAE,MAAM,EAAE,OAAO,KAAK,8BAA8BA,CAAC,EAAEC,CAAC,CAAC,GAAG,GAAG,KAAK,OAAO,KAAK,qBAAqBrD,CAAC,EAAE,GAAG2Z,EAAE,EAAE,QAAQ,OAAO,GAAG,CAACA,EAAE,EAAE,QAAQ,8BAA8B,GAAGA,EAAE,EAAE,UAAU,eAAe,IAAI,EAAE,MAAM,IAAI,MAAM,8FAA8F,EAAE,IAAI,EAAE,KAAK7X,EAAE,GAAGZ,IAAI,aAAayY,EAAE,EAAE,IAAI,wBAAwB,EAAE,CAAC7X,EAAE,KAAK,OAAO9B,CAAC,EAAE,IAAIkC,EAAE,KAAK,QAAQ,IAAIJ,EAAE,MAAM,EAAE,EAAE,KAAK,MAAM,wBAAwBI,EAAE,QAAQ,QAAQ,GAAGquF,GAAG9wF,CAAC,CAAC,CAAC,CAAC,KAAK,YAAY,IAAIO,EAAE,CAAC,CAAC,EAAEkB,IAAI,aAAa,MAAM,KAAK,MAAM,sBAAsB,EAAE,IAAI,EAAE,GAAGA,IAAI,YAAY,CAAC,IAAIgB,EAAE,MAAM,QAAQ,IAAI,CAAC,KAAK,KAAKf,EAAE,KAAK,MAAM,EAAE,KAAK,KAAKA,EAAE,KAAK,MAAM,CAAC,CAAC,EAAEiC,EAAElB,EAAE,GAAGmB,EAAEnB,EAAE,GAAG,EAAEw3C,EAAE,uBAAuBt2C,EAAEC,CAAC,CAAC,SAAS,GAAG,KAAK,EAAE,KAAK,qBAAqBrD,CAAC,MAAM,CAAC,IAAIkC,EAAE8jB,EAAE,cAAcvmB,CAAC,EAAE,EAAE,KAAK,MAAM,gCAAgC,EAAEyC,CAAC,CAAC,CAAC,GAAGJ,GAAG,MAAM,KAAK,8BAA8BA,CAAC,EAAE,GAAG,KAAK,CAAC,IAAII,EAAE,KAAK,MAAM,GAAGqrF,GAAGrrF,EAAE,IAAIA,EAAE,aAAa,CAAC,CAAC,CAAC,CAAC,IAAIF,EAAE,KAAK,qBAAqBhC,EAAE,CAAC,EAAEiC,EAAE,KAAK,YAAY,IAAIjC,CAAC,EAAE,OAAO,KAAK,YAAY,OAAOA,CAAC,EAAEiC,EAAE,QAAQC,GAAGA,EAAEF,CAAC,CAAC,EAAE,KAAK,gBAAgB,IAAIhC,CAAC,IAAI,KAAK,gBAAgB,OAAOA,CAAC,EAAE,KAAK,YAAYA,CAAC,GAAGwyB,GAAG,EAAE,aAAaxyB,EAAE,IAAI,EAAE,KAAK,kBAAkBgC,CAAC,CAAC,UAAUhC,EAAEZ,EAAE,CAAC,EAAE,CAAC,IAAI,EAAE,KAAK,QAAQ,IAAIY,CAAC,EAAE,CAAC,OAAOP,EAAE,MAAMwB,EAAE,MAAMC,EAAE,MAAMC,EAAE,SAASC,EAAE,QAAQ,CAAC,EAAE,EAAE,GAAGD,IAAI,YAAY,MAAM,IAAI,MAAM,uDAAuD,EAAE,GAAGD,GAAG,KAAK,CAAC,IAAIe,EAAEb,EAAEa,EAAE,IAAI45F,GAAG56F,EAAEq6F,EAAE,EAAEr5F,EAAE,IAAI84F,GAAG95F,EAAEq6F,EAAE,EAAE,IAAIp5F,EAAE,KAAK,gBAAgBD,EAAE,CAAC,CAAC,OAAOjC,EAAE,MAAMiB,EAAE,MAAME,CAAC,CAAC,EAAEA,CAAC,EAAEiC,EAAE,KAAK,UAAUlB,EAAE9C,CAAC,EAAE,OAAO,KAAK,8BAA8B8C,CAAC,EAAEkB,CAAC,CAAC,GAAG,GAAG,KAAK,MAAM3D,GAAG,KAAK,IAAI,MAAM,gCAAgC,EAAE,IAAI,MAAM,iCAAiC,EAAE,IAAIqC,EAAE,KAAK,OAAO9B,EAAEZ,EAAE,cAAc,EAAE,EAAEozB,GAAG,EAAE,yBAAyB1wB,CAAC,EAAEE,EAAE,KAAK,QAAQ,IAAIF,EAAE,MAAM,EAAE,OAAO,OAAO,OAAO,CAAC,UAAU,CAAC,EAAEE,EAAE,OAAO,CAAC,CAAC,WAAWhC,EAAE,CAAC,IAAIZ,EAAE,KAAK,SAASY,EAAE,MAAM,EAAE,GAAGA,EAAE,QAAQ,SAAS,GAAG,CAAC,IAAI,EAAEZ,EAAE,IAAIK,GAAGumB,EAAE,aAAavmB,CAAC,CAAC,EAAE,OAAOgwB,GAAGzvB,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,OAAO,EAAN,CAAS,MAAM,IAAI,MAAM,kDAAkD,CAAC,CAAC,OAAOyvB,GAAGzvB,EAAE,MAAMA,EAAE,MAAMZ,CAAC,CAAC,CAAC,uBAAuBY,EAAE,CAAC,GAAGA,GAAG,KAAK,QAAQZ,EAAE,EAAEA,EAAEY,EAAE,OAAOZ,IAAI,CAAC,IAAI,EAAEY,EAAEZ,GAAG,GAAG,CAACouF,GAAG,CAAC,EAAE,MAAM7zE,EAAE,EAAE,QAAQ,8BAA8B,EAAE,MAAM,aAAa,gJAAgJ,EAAE,MAAM,aAAa,yCAAyC,CAAC,CAAC,CAAC,qBAAqB3Z,EAAE,CAAC,GAAG,CAAC,MAAMZ,EAAE,MAAM,EAAE,SAASK,CAAC,EAAE,KAAK,QAAQ,IAAIO,CAAC,EAAEiB,EAAE+kB,EAAE,cAAc5mB,CAAC,EAAE,GAAGua,EAAE,EAAE,QAAQ,8BAA8B,EAAE,CAAC,IAAI3X,EAAE,KAAK,OAAOhC,CAAC,EAAEiC,EAAE,KAAK,QAAQ,IAAID,EAAE,MAAM,EAAEE,EAAE,KAAK,MAAM,gCAAgCD,EAAE,QAAQ,QAAQ,GAAGsuF,GAAGnxF,CAAC,CAAC,EAAE,SAAS,EAAE6B,CAAC,EAAE,OAAO,KAAK,8BAA8Be,CAAC,EAAEE,CAAC,CAAC,IAAIhB,EAAEyY,EAAE,EAAE,QAAQ,YAAY,GAAGla,IAAI,GAAG0B,EAAED,EAAEstF,GAAGpvF,CAAC,EAAEA,EAAEgC,EAAEF,EAAE,IAAIo0F,GAAGn0F,CAAC,EAAE,IAAIk0F,GAAGl0F,CAAC,EAAE,EAAE,KAAK,gBAAgBC,EAAE,CAAC,CAAC,MAAMD,EAAE,MAAM,EAAE,OAAOnB,CAAC,CAAC,EAAE,SAAS,EAAE8B,EAAE,KAAK,QAAQ,IAAI,EAAE,MAAM,EAAE,EAAE,KAAK,MAAM,gDAAgDA,EAAE,QAAQ,QAAQA,EAAE,SAAS,GAAGA,EAAE,SAAS,EAAE,EAAE,SAAS,EAAEb,CAAC,EAAE,OAAO,KAAK,8BAA8B,CAAC,EAAE,CAAC,CAAC,gBAAgB,CAAC,OAAO0Y,EAAE,EAAE,UAAU,+CAA+C,EAAE,CAAC,CAAC,KAAK3Z,EAAE,CAAC,IAAIZ,EAAE,KAAK,aAAa,EAAE,CAAC,EAAEK,EAAE,GAAG,KAAK,oBAAoB,MAAM,KAAK,mBAAmB,EAAEA,EAAE,IAAI,KAAK,aAAa,KAAK,CAAC,EAAE,KAAK,aAAa,EAAEO,EAAE,EAAE,IAAIiB,EAAE+kB,EAAE,QAAQ,KAAK,aAAa,IAAI5kB,GAAGA,EAAE,KAAK,CAAC,EAAE,OAAOA,GAAGA,GAAG,IAAI,EAAEF,EAAE8kB,EAAE,QAAQ,KAAK,aAAa,IAAI5kB,GAAGA,EAAE,IAAI,CAAC,EAAE,OAAOA,GAAGA,GAAG,IAAI,EAAE,KAAK,aAAahC,EAAEK,IAAI,KAAK,mBAAmB,MAAM,IAAI0B,EAAE,CAAC,aAAa,KAAK,aAAa,eAAe,KAAK,eAAe,SAAS,KAAK,OAAO,IAAI,EAAE,OAAO,SAAS,CAAC,GAAGwY,EAAE,EAAE,UAAU,+CAA+C,EAAE,EAAE,CAAC,IAAIvY,EAAE,MAAM,QAAQ,IAAIH,CAAC,EAAEE,EAAE,SAAS6kB,EAAE,IAAI5kB,CAAC,EAAED,EAAE,oBAAoB,IAAIC,EAAE,IAAI,CAAC,EAAEU,KAAK,CAAC,KAAKZ,EAAEY,GAAG,GAAG,CAAC,EAAE,EAAE,IAAI,GAAG,GAAG,EAAE,SAAS,EAAE,IAAI,EAAE,KAAK,IAAI,CAAC,MAAMX,EAAE,SAAS,CAAC,MAAM,2DAA2D,EAAE,OAAO,KAAK,aAAa,EAAE,KAAK,eAAe,EAAEA,CAAC,GAAG,CAAC,CAAC,QAAQ,CAAC,MAAM,CAAC,WAAW,GAAG,cAAc,KAAK,cAAc,uBAAuB,KAAK,eAAe,kBAAkB,kBAAkB,KAAK,eAAe,YAAY,CAAC,CAAC,YAAY,CAAC,OAAOwY,EAAE,EAAE,UAAU,+CAA+C,EAAE,EAAE,KAAK,MAAM,WAAW,EAAE,CAAC,QAAQqM,EAAE,IAAI,EAAE,MAAM,IAAI,CAAC,CAAC,SAAShmB,EAAE,CAAC,OAAO2Z,EAAE,EAAE,UAAU,+CAA+C,EAAE,GAAG,KAAK,MAAM,SAAS,EAAE3Z,IAAIA,EAAE,MAAMgmB,EAAE,IAAI,EAAEhmB,EAAE,CAAC,MAAM,aAAaA,EAAE,CAAC,GAAG2Z,EAAE,EAAE,UAAU,+CAA+C,EAAE,EAAE,OAAO,KAAK,MAAM,uBAAuB3Z,CAAC,EAAE,IAAIZ,EAAEY,EAAE,OAAOZ,EAAE,MAAMA,EAAE,OAAO,CAAC,YAAYY,EAAEZ,EAAE,GAAG,CAAC,GAAG,KAAK,gBAAgB,IAAIY,CAAC,EAAE,MAAM,GAAG,GAAG,CAAC,KAAK,QAAQ,IAAIA,CAAC,EAAE,MAAM,GAAG,GAAGZ,EAAE,KAAK,QAAQ,IAAIY,CAAC,EAAE,SAAS,EAAE,KAAK,QAAQ,IAAIA,CAAC,EAAE,WAAW,CAACZ,GAAG,KAAK,QAAQ,IAAIY,CAAC,EAAE,SAAS,EAAE,MAAM,GAAG,GAAG,KAAK,YAAY,IAAIA,CAAC,EAAE,OAAO,KAAK,gBAAgB,IAAIA,CAAC,EAAE,KAAK,iBAAiB,GAAG,KAAK,eAAeA,CAAC,EAAE,GAAG,CAAC,mBAAmB,CAAC,EAAE,KAAK,QAAQ,IAAIA,CAAC,EAAE,OAAO,GAAG,OAAO,KAAK,YAAY,EAAE,KAAK,OAAOZ,CAAC,EAAE,KAAK,YAAY,EAAE,KAAK,OAAOA,CAAC,GAAG,KAAK,QAAQ,OAAOY,CAAC,EAAE,EAAE,CAAC,eAAeA,EAAE,CAAC,GAAG,CAAC,QAAQZ,EAAE,MAAM,EAAE,SAASK,EAAE,MAAMwB,EAAE,SAASC,EAAE,MAAMC,CAAC,EAAE,KAAK,QAAQ,IAAInB,CAAC,EAAEoB,EAAED,GAAGA,EAAE,YAAYnB,EAAE,EAAE,KAAK,aAAa,IAAIoB,CAAC,EAAE,EAAE,EAAE,KAAK,aAAa,IAAIA,EAAE,EAAE,CAAC,GAAG,KAAK,aAAa,OAAOA,CAAC,EAAEhC,GAAG,OAAO,KAAK,eAAe,KAAK,aAAaK,EAAE,CAAC,EAAE,KAAK,eAAe,eAAeL,EAAEK,EAAEwB,EAAEC,CAAC,IAAI,IAAIY,EAAE,KAAK,QAAQ,IAAI9B,CAAC,EAAE8B,EAAE,QAAQ,KAAKA,EAAE,SAAS,KAAKA,EAAE,SAAS,GAAGA,EAAE,MAAM,IAAI,CAAC,WAAW9B,EAAE,CAAC,OAAO,KAAK,YAAYA,CAAC,EAAE,KAAK,QAAQ,IAAIA,CAAC,EAAE,QAAQ,OAAO,CAAC,YAAYA,EAAE,CAAC,OAAO,KAAK,QAAQ,IAAIA,CAAC,CAAC,CAAC,mBAAmBA,EAAEZ,EAAEg9F,GAAI,CAAC,OAAOziF,EAAE,EAAE,QAAQ,mBAAmB,GAAG3Z,EAAE,MAAM,GAAG,KAAK,QAAQ,IAAI,EAAE,MAAM,EAAE,SAAS,MAAMgmB,EAAE,cAAc,EAAE,KAAK,EAAE5mB,CAAC,CAAC,CAAC,iBAAiB,CAAC,OAAO,KAAK,KAAK,CAAC,MAAMY,EAAE,CAAC05C,EAAE,KAAK,uEAAuE,EAAE,IAAIt6C,EAAEY,EAAE,SAAS,EAAE,OAAO+7F,GAAI/7F,EAAE,MAAMZ,CAAC,CAAC,CAAC,cAAcY,EAAEZ,EAAE,EAAE,CAAC,IAAIK,EAAE,IAAIo8F,GAAG77F,EAAE,MAAMZ,CAAC,EAAE6B,EAAE,KAAK,cAAcxB,EAAE,CAACO,CAAC,EAAE,CAAC,EAAE,OAAOwyB,GAAG,EAAE,yBAAyBvxB,CAAC,CAAC,CAAC,IAAIjB,EAAE,CAAC,GAAG,KAAK,mBAAmB,CAACA,CAAC,CAAC,GAAGA,EAAE,QAAQ,YAAY,CAAC,IAAIP,EAAE05F,GAAG,KAAK,QAAQ,IAAIn5F,EAAE,MAAM,EAAE,MAAM,EAAE,OAAO,KAAK,WAAWA,EAAE,MAAMA,EAAE,MAAMP,CAAC,CAAC,CAAC,GAAGka,EAAE,EAAE,QAAQ,6BAA6B,EAAE,OAAO,KAAK,cAAc3Z,EAAEk7F,GAAGl7F,EAAE,KAAK,EAAE,IAAIZ,EAAE,IAAI27F,GAAG/6F,EAAE,MAAMk7F,EAAE,EAAE,EAAE,KAAK,cAAc97F,EAAE,CAACY,CAAC,CAAC,EAAE,OAAOwyB,GAAG,EAAE,yBAAyB,CAAC,CAAC,CAAC,eAAexyB,EAAEZ,EAAE,EAAE,CAAC,IAAIK,EAAE,GAAGL,IAAI,UAAU,GAAG,MAAM,EAAE,OAAO,GAAG4mB,EAAE,SAAS,EAAE,EAAE,EAAE,CAAC,IAAI/kB,EAAE,EAAE,IAAIC,GAAG8kB,EAAE,aAAa9kB,CAAC,CAAC,EAAEzB,EAAE,KAAK,MAAMwB,EAAEjB,EAAEZ,CAAC,CAAC,MAAMK,EAAE,KAAK,MAAM,EAAEO,EAAEZ,CAAC,EAAE,OAAO,KAAK,QAAQ,IAAIK,CAAC,EAAE,MAAM,KAAK,CAAC,OAAOA,EAAE,MAAMO,EAAE,MAAMZ,CAAC,CAAC,CAAC,WAAWY,EAAEZ,EAAE,EAAE,CAAC,OAAOozB,GAAG,EAAE,yBAAyB,KAAK,eAAexyB,EAAEZ,EAAE,CAAC,EAAE,IAAI,CAAC,CAAC,aAAaY,EAAE,CAAC,IAAIZ,EAAE,IAAI08F,GAAG97F,EAAE,KAAK,EAAE,OAAO,KAAK,gBAAgBZ,EAAE,CAACY,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,WAAWA,EAAE,CAAC,IAAIZ,EAAE,IAAIi7F,GAAGr6F,EAAE,KAAK,EAAE,EAAE,GAAG,OAAO,KAAK,gBAAgBZ,EAAE,CAACY,CAAC,EAAEA,EAAE,MAAM,KAAK,CAAC,CAAC,CAAC,cAAcA,EAAEZ,EAAE,CAAC,IAAI,EAAE,CAAC4uF,GAAGhuF,EAAE,KAAK,EAAE,GAAGuuF,GAAGvuF,EAAE,KAAK,CAAC,EAAEP,EAAE,CAAC,MAAMO,EAAE,MAAM,MAAM,EAAE,OAAOA,EAAE,MAAM,EAAEiB,EAAE,CAAC+sF,GAAG5uF,CAAC,EAAE,GAAGmvF,GAAGnvF,CAAC,CAAC,EAAE8B,EAAE,IAAIo5F,GAAGr5F,EAAE,CAAC,EAAEE,EAAE,GAAGC,EAAE,CAAC,CAAC,EAAE,EAAE,KAAK,gBAAgBF,EAAE,CAACzB,CAAC,EAAEO,EAAE,MAAMoB,EAAED,CAAC,EAAE,MAAM,CAAC,OAAO,EAAE,OAAO,MAAM/B,EAAE,MAAM,EAAE,KAAK,CAAC,CAAC,OAAOY,EAAEZ,EAAE,CAAC,IAAI,EAAE,KAAK,QAAQ,IAAIY,CAAC,EAAE,CAAC,SAASP,EAAE,MAAMwB,EAAE,MAAMC,CAAC,EAAE,EAAE,GAAG9B,GAAG,KAAK,CAAC,IAAI4C,EAAEgkB,EAAE,cAAc/kB,CAAC,EAAEgB,EAAE7C,EAAE,GAAGA,EAAE,GAAG,EAAE4mB,EAAE,OAAOhkB,GAAGC,EAAE,IAAI,2GAA2G,CAAC,CAAC,IAAId,EAAEqtF,GAAGvtF,CAAC,EAAEG,EAAE3B,EAAE2B,EAAE,IAAIg0F,GAAGj0F,CAAC,EAAEC,EAAE,IAAI+zF,GAAGh0F,CAAC,EAAE,IAAI,EAAE,GAAGW,EAAE,CAAC1C,GAAG,KAAKA,EAAEmxF,GAAGpvF,CAAC,CAAC,EAAE,EAAE,KAAK,gBAAgBC,EAAE,CAAC,CAAC,MAAMD,EAAE,MAAMD,EAAE,OAAOlB,CAAC,CAAC,EAAEkB,EAAEY,EAAE,EAAE1C,CAAC,EAAE,MAAM,CAAC,MAAM8B,EAAE,MAAMD,EAAE,OAAO,EAAE,MAAM,CAAC,CAAC,gBAAgBjB,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,GAAGC,EAAE,CAAC,IAAIC,EAAE,KAAK,eAAenB,EAAE,YAAY,CAAC,EAAEoB,EAAE,KAAK,QAAQ,IAAID,EAAE,MAAM,EAAE,GAAGnB,EAAE,eAAeoB,EAAE,SAAS,IAAIpB,EAAE,mBAAmBkwF,GAAG,MAAM,CAAC,IAAIzpF,EAAEvF,GAAG,KAAKA,EAAEqvF,GAAGvwF,EAAE,WAAW,EAAEoB,EAAE,SAASqF,EAAE,IAAI,GAAG,EAAE,CAAC,CAAC,CAAC,GAAGzG,EAAE,aAAa,OAAOoB,EAAE,MAAMpB,EAAE,aAAagmB,EAAE,cAAc7kB,EAAE,KAAK,IAAI,EAAE,OAAOC,EAAE,OAAO4kB,EAAE,uBAAuB7kB,EAAE,MAAM,CAAC,EAAEA,EAAE,IAAI,EAAE,CAAC,EAAEW,EAAE1C,EAAE,IAAIqH,GAAG,CAAC,GAAGA,EAAE,QAAQ,YAAY,MAAM,IAAI,MAAM,iIAAiI,EAAE,IAAI,EAAE,KAAK,QAAQ,IAAIA,EAAE,MAAM,EAAE,GAAG,EAAE,SAAS,KAAK,CAAC,GAAG,CAACzG,EAAE,cAAcgmB,EAAE,cAAcvf,EAAE,KAAK,GAAGkT,EAAE,EAAE,UAAU,2BAA2B,EAAE,MAAM,CAAC,MAAMlT,EAAE,MAAM,QAAQ,KAAK,UAAU,GAAG,cAAc,EAAE,MAAM,EAAEzG,EAAE,eAAe,EAAE,SAAS,GAAG,EAAE,MAAMyG,EAAE,MAAM,CAAC,GAAG,KAAK,YAAYA,EAAE,MAAM,EAAE,CAAC,CAAC,EAAE,UAAU,CAAC,CAACzG,EAAE,aAAayG,EAAE,EAAE,SAAS,KAAK,aAAaA,CAAC,EAAE,KAAK,WAAWA,CAAC,EAAE,EAAE,KAAKA,CAAC,EAAE,EAAE,KAAK,QAAQ,IAAIA,EAAE,MAAM,UAAU,EAAE,UAAU,CAACuoF,GAAG,EAAE,MAAMvoF,EAAE,KAAK,EAAE,CAAC,IAAI5C,EAAE4C,EAAE3C,EAAE2C,EAAE,MAAMA,EAAE,MAAM,EAAE,MAAMA,EAAE,KAAK,cAAcA,EAAE3C,CAAC,EAAE,EAAE,KAAK2C,CAAC,EAAE,EAAE,KAAK,QAAQ,IAAIA,EAAE,MAAM,EAAE5C,EAAE,MAAMC,CAAC,CAAC,MAAM,CAAC,MAAM2C,EAAE,MAAM,QAAQ,EAAE,UAAU,EAAE,CAAC,CAAC,EAAE,KAAK,YAAYtF,EAAE,MAAM,EAAE,IAAI,EAAE,CAAC,MAAMA,EAAE,MAAM,QAAQC,EAAE,UAAU,EAAE,EAAEY,EAAEizF,GAAGj1F,EAAE8B,EAAE,CAAC,EAAEG,EAAE,KAAK,iBAAiBD,EAAE,IAAI6yF,GAAG,KAAK,MAAM70F,EAAE8B,EAAE,CAAC,CAAC,EAAEI,EAAE,KAAK,cAAc,KAAKkB,EAAElB,IAAIkB,EAAE,KAAK,WAAW,GAAGuW,EAAE,EAAE,IAAI,qBAAqB,GAAGq7E,GAAG,KAAK,MAAM/yF,EAAEH,EAAE,EAAErC,CAAC,EAAE,EAAE,QAAQgH,GAAG,KAAK,8BAA8BA,CAAC,CAAC,EAAEvE,IAAIkB,EAAE,KAAK,SAASA,CAAC,EAAE,KAAK,aAAa,KAAK,CAAC,KAAKpD,EAAE,YAAY,KAAK,MAAM,KAAK,aAAaoD,CAAC,CAAC,CAAC,GAAG,IAAIC,EAAEsW,EAAE,EAAE,IAAI,uBAAuB,EAAE,GAAGtW,EAAE,EAAE,CAAC,IAAIoD,EAAEuf,EAAE,IAAI,EAAEvf,EAAE,KAAK,gBAAgBpD,IAAI,KAAK,MAAM,GAAG,MAAM,EAAE,KAAK,gBAAgBoD,EAAE,CAAC,GAAG,CAACkT,EAAE,EAAE,QAAQ,qBAAqB,GAAGvY,EAAE,UAAUH,IAAI,GAAG,CAAC,IAAIwF,EAAE,KAAK,aAAatF,CAAC,EAAE,OAAO,KAAK,8BAA8BA,CAAC,EAAEsF,CAAC,CAAC,OAAOtF,CAAC,CAAC,cAAcnB,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,GAAG,CAAC,OAAO,EAAE,GAAG7B,EAAE,GAAG,MAAM,KAAK,gBAAgBY,EAAEZ,EAAE,EAAEK,EAAEwB,CAAC,CAAC,CAAC,iBAAiBjB,EAAEZ,EAAE,CAAC,OAAOY,KAAK,KAAK,cAAc,KAAK,YAAYA,GAAGZ,EAAE,GAAG,KAAK,YAAYY,EAAE,CAAC,mBAAmB,CAAC,OAAO,KAAK,cAAc,CAAC,SAAS,CAAC,KAAK,WAAW2Z,EAAE,EAAE,QAAQ,SAAS,GAAG,OAAO,KAAK,KAAK,WAAW,EAAE,QAAQ,GAAG,CAAC,KAAK,MAAM,cAAc,KAAK,YAAY,GAAG,YAAY,EAAE,OAAO,KAAK,YAAY,EAAE,CAAC,EAAE,KAAK,eAAe,QAAQ,EAAE,KAAK,QAAQ,MAAM,OAAO,mBAAmB,aAAa,KAAK,kBAAkB,kBAAkB,KAAK,OAAO,OAAO,EAAE,KAAK,OAAO,KAAK,KAAK,sBAAsB,KAAK,MAAM,QAAQ,KAAK,KAAK,MAAM,QAAQ,GAAG,KAAK,SAAS,GAAG,CAAC,gBAAgB,CAAC,OAAO,KAAK,qBAAqB,OAAO,KAAK,oBAAoBgZ,EAAE,IAAI,CAAC,GAAG,CAAChZ,EAAE,EAAE,IAAI,8BAA8B,EAAE,CAAC,IAAI3Z,EAAE2Z,EAAE,EAAE,QAAQ,OAAO,EAAEA,EAAE,EAAE,IAAI,QAAQ,EAAE,EAAE,IAAIva,EAAE,KAAK,IAAI2iC,GAAG,IAAI,CAAC,EAAE,SAAS,EAAE,GAAG,GAAGpoB,EAAE,EAAE,IAAI,QAAQ3Z,CAAC,EAAEZ,EAAE,EAAE,MAAO,GAAE,CAAC,MAAO,GAAE,CAAC,GAAG,KAAK,mBAAmB,CAAC,SAAS,CAAC,OAAO,KAAK,eAAe,IAAI,GAAG48F,GAAIC,EAAG,CAAC,YAAYj8F,EAAE,CAAC,IAAIZ,EAAE,KAAK,QAAQ,IAAIY,CAAC,EAAE,CAAC,MAAM,EAAE,MAAMP,EAAE,OAAOwB,EAAE,QAAQC,EAAE,MAAMC,EAAE,SAASC,CAAC,EAAEhC,EAAE,GAAG8B,GAAG,KAAK,OAAO,IAAI,EAAE,KAAK,cAAc,KAAKY,EAAE,IAAIA,EAAEkkB,EAAE,IAAI,GAAG,IAAI,EAAE5mB,EAAE,SAAS,GAAG,GAAG,OAAO,EAAEqvF,GAAG,EAAErtF,CAAC,EAAEhC,EAAE,SAAS,GAAG6B,GAAG,KAAK,CAAC,IAAIe,EAAEwsF,GAAG,CAAC,EAAEvsF,EAAEC,EAAE,EAAE,GAAGkB,EAAE,EAAE,GAAGC,EAAEpC,aAAa,YAAYA,aAAa,mBAAmBG,GAAG,CAACiC,KAAK,CAACnB,EAAEkB,CAAC,EAAEotF,GAAG,EAAE,GAAG,EAAE,EAAE,GAAGpvF,EAAEa,EAAE,IAAIwzF,GAAGzzF,EAAEqB,CAAC,EAAEpB,EAAE,IAAIuzF,GAAGxzF,EAAEqB,CAAC,EAAE,IAAIoD,EAAEpD,EAAE,CAACD,EAAElB,CAAC,EAAE,EAAE,EAAE,KAAK,eAAeuE,EAAEhH,CAAC,EAAEoE,EAAE,KAAK,QAAQ,IAAI,EAAE,MAAM,EAAER,EAAEQ,EAAE,MAAMssF,GAAG,OAAOtsF,EAAE,MAAMssF,GAAG,OAAOtsF,EAAE,SAAS4C,EAAE,KAAK,MAAM,2BAA2B,KAAK,WAAW,EAAE,MAAM,EAAEvE,EAAEkB,EAAEnC,CAAC,EAAE,IAAI6C,EAAE,CAAC,CAACV,EAAElB,CAAC,CAAC,EAAE6B,EAAE,GAAGC,EAAE,KAAK,gBAAgB/B,EAAE,CAAC,CAAC,EAAExC,EAAEqE,EAAEC,CAAC,EAAE2C,EAAE,KAAK,QAAQ,IAAI1C,EAAE,MAAM,EAAE5E,EAAE,SAASsH,EAAE,SAAStH,EAAE,SAASsH,EAAE,SAAStH,EAAE,MAAMsH,EAAE,MAAMiT,EAAE,EAAE,IAAI,qBAAqB,EAAE,KAAK,YAAY3V,EAAE,MAAM,GAAG5E,EAAE,QAAQsH,EAAE,QAAQtH,EAAE,OAAO,KAAK,KAAK,QAAQ,OAAO4E,EAAE,MAAM,GAAG,KAAK,8BAA8B,CAAC,EAAE,IAAI,KAAK,cAAcgiB,EAAE,IAAI,EAAElkB,EAAE,KAAK,CAAC,IAAIE,EAAE,KAAK,eAAe,EAAEb,EAAE1B,EAAE2B,CAAC,EAAEhC,EAAE,QAAQ4C,CAAC,CAAC,CAAC,qBAAqBhC,EAAEZ,EAAE,CAAC,IAAI,EAAE,KAAK,QAAQ,IAAIY,CAAC,EAAE,CAAC,MAAMP,CAAC,EAAE,EAAE,OAAO,KAAK,eAAeO,CAAC,EAAEZ,GAAG,OAAO,EAAE,OAAOo9F,GAAIp9F,EAAEK,CAAC,GAAG,EAAE,MAAM,CAAC,eAAeO,EAAEZ,EAAE,EAAEK,EAAE,CAAC,GAAG,KAAK,eAAe,KAAK,aAAaO,EAAE,CAAC,EAAE,CAAC,KAAK,mBAAmB,KAAK,cAAc,KAAK,mBAAmB,KAAK,KAAK,CAAC,IAAIiB,GAAG,KAAK,cAAc,KAAK,MAAM,QAAQ,CAAC,EAAE,KAAK,kBAAkB,GAAG,QAAQ,KAAK,6BAA6BA,wCAAwC,CAAC,CAAC,OAAO,KAAK,eAAe,eAAejB,EAAEZ,EAAEK,CAAC,CAAC,CAAC,aAAaO,EAAEZ,EAAE,CAAC,OAAOY,EAAE,GAAGA,EAAE,GAAGgmB,EAAE,gBAAgB5mB,CAAC,CAAC,CAAC,wBAAwB,CAAC,OAAO,CAAC,CAACY,CAAC,IAAI,OAAO,QAAQ,KAAK,WAAW,EAAE,KAAK,iBAAiBA,CAAC,CAAC,CAAC,MAAM,6BAA6B,CAAC,IAAIA,EAAE,CAAC,EAAE,GAAG,KAAK,MAAM,6BAA6B,CAAC,OAAO,CAAC,CAACZ,CAAC,IAAI,OAAO,QAAQ,KAAK,WAAW,EAAEY,EAAE,KAAK,KAAK,sBAAsBZ,CAAC,CAAC,EAAE,OAAO,QAAQ,IAAIY,CAAC,CAAC,KAAK,CAAC,OAAO,CAAC,CAACZ,CAAC,IAAI,OAAO,QAAQ,KAAK,WAAW,EAAE,CAAC,IAAI,EAAE,IAAI,QAAQK,GAAG,CAAC,GAAG,CAAC,KAAK,iBAAiBL,CAAC,EAAEK,EAAE,EAAE,CAAC,OAAOwB,EAAN,CAAS,MAAMA,CAAC,CAAC,CAAC,EAAEjB,EAAE,KAAK,CAAC,CAAC,CAAC,OAAO,QAAQ,IAAIA,CAAC,CAAC,CAAC,CAAC,MAAM,sBAAsBA,EAAE,CAAC,OAAO,KAAK,MAAM,GAAG,oBAAoBA,EAAE,aAAa,KAAK,MAAM,6BAA6B,qBAAqB,EAAE,KAAK,iBAAiBA,CAAC,GAAG,MAAMy5C,GAAG,EAAE,KAAK,sBAAsBz5C,CAAC,EAAE,CAAC,iBAAiBA,EAAE,CAAC,GAAG,KAAK,MAAM,GAAG,oBAAoBA,EAAE,aAAa,KAAK,MAAM,GAAG,WAAW,IAAI,GAAG,MAAM,QAAQ,IAAI,KAAK,MAAM,GAAG,kBAAkBA,EAAE,YAAY,CAAC,EAAE,KAAK,MAAM,GAAG,mBAAmBA,EAAE,eAAe,KAAK,MAAM,GAAG,cAAc,IAAI,IAAIovF,GAAGpvF,EAAE,OAAO,KAAK,MAAM,GAAG,iBAAiBA,EAAE,cAAc,CAAC,EAAE,IAAI,MAAM,oCAAoC,GAAG,IAAI,MAAM,6CAA6C,EAAE,MAAM,EAAE,CAAC,qBAAqB,CAAC,OAAO,CAAC,CAACA,CAAC,IAAI,OAAO,QAAQ,KAAK,WAAW,EAAE,CAAC,GAAG,CAAC,iBAAiBZ,EAAE,uBAAuB,EAAE,OAAOK,EAAE,OAAOwB,EAAE,kBAAkBC,EAAE,qBAAqBC,EAAE,iBAAiBC,EAAE,wBAAwB,EAAE,oBAAoBU,CAAC,EAAEgzF,GAAG,KAAK,MAAM90F,EAAE,QAAQA,EAAE,YAAY,EAAEA,EAAE,iBAAiBZ,EAAEY,EAAE,uBAAuB,EAAEA,EAAE,OAAOP,EAAEO,EAAE,OAAOiB,EAAEjB,EAAE,kBAAkBkB,EAAElB,EAAE,qBAAqBmB,EAAEnB,EAAE,iBAAiBoB,EAAEpB,EAAE,wBAAwB,EAAEA,EAAE,oBAAoB8B,CAAC,CAAC,CAAC,wBAAwB9B,EAAEZ,EAAE,EAAE,CAAC,GAAG,CAAC,QAAQK,EAAE,OAAOwB,EAAE,MAAMC,EAAE,SAASC,CAAC,EAAEnB,EAAEoB,EAAEoxB,GAAG,EAAE,QAAQ,GAAG,CAACpxB,EAAE,MAAM,GAAG,UAAU3B,CAAC,EAAE,MAAM,IAAI,MAAM,+RAA+R,EAAE,IAAI,EAAE2B,EAAE,aAAa3B,EAAEL,EAAE,EAAE6B,EAAEC,EAAEC,CAAC,EAAE,OAAOqxB,GAAG,EAAE,qBAAqB,EAAEpzB,EAAE,EAAEgC,CAAC,CAAC,CAAC,EAAEm7F,GAAG,WAAW,EAAE,SAASC,GAAIt9F,EAAE,EAAE,CAAC,GAAG,IAAI,WAAW,IAAI,YAAY,OAAOA,EAAE,GAAG,IAAI,SAAS,IAAI,OAAO,CAAC,IAAIE,EAAE,IAAI,QAAQ,IAAI,WAAWF,EAAE,MAAM,EAAE,IAAI,WAAWA,EAAE,MAAM,EAAE,QAAQM,EAAE,EAAEA,EAAEJ,EAAE,OAAO,EAAEI,EAAEJ,EAAEI,GAAG,KAAK,MAAMN,EAAEM,EAAE,EAAE,OAAOJ,CAAC,KAAM,OAAM,IAAI,MAAM,iBAAiB,GAAG,CAAC,CAAC,IAAIq9F,GAAG,QAAQ,SAASC,IAAI,CAAC/iF,EAAE,EAAE,IAAI,2BAA2B,EAAE,CAAC,CAAC6Q,GAAG,UAAU,GAAG6I,GAAG,QAAQ,IAAI,IAAIkpE,GAAG,CAAC,EAAE,IAAII,GAAI,CAAC,eAAeD,EAAE,EAAME,GAAG;AAAA;AAAA;AAAA,EAG1yiBC,GAAG,KAAK,CAAC,YAAY78F,EAAEZ,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,YAAYs6C,EAAE,2BAA2Bt6C,EAAE,CAAC,EAAE,KAAK,oBAAoB81F,GAAG,KAAK,YAAY,MAAM,EAAE,KAAK,SAAS;AAAA;AAAA,UAE3Kl1F;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAQL,CAAC,EAAM88F,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA,EAKTC,GAAG,KAAK,CAAC,YAAY/8F,EAAEZ,EAAE,EAAEK,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,qBAAqB,GAAG,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAYi6C,EAAE,2BAA2Bt6C,EAAE,CAAC,EAAE,IAAI6B,EAAE,KAAK,YAAY,OAAO,KAAK,oBAAoBi0F,GAAGj0F,CAAC,EAAE,IAAIC,EAAE,GAAG,GAAGzB,EAAE,GAAGwB,IAAI,GAAG+kB,EAAE,cAAc,KAAK,WAAW,IAAI,EAAE9kB,EAAE;AAAA;AAAA;AAAA;AAAA,kBAIzSA,EAAE;AAAA,YACR0zF,GAAG3zF,CAAC;AAAA,UACNA,IAAI,EAAE,KAAK,oBAAoBC,GAAG;AAAA;AAAA;AAAA;AAAA,YAIhCA,GAAG;AAAA,yCAC0B,KAAK,YAAY;AAAA;AAAA;AAAA,gBAG1C,CAAC,IAAIE,EAAE+4F,GAAG,SAASl5F,CAAC,EAAE,KAAK,oBAAoBC,GAAG;AAAA;AAAA,iBAEjDE,EAAEH,EAAE,uBAAuBA;AAAA;AAAA,iBAE3BG,EAAEH,EAAE,uBAAuBA;AAAA;AAAA;AAAA;AAAA,YAIhCC,GAAG;AAAA;AAAA,iBAEEE,EAAEH,EAAE,cAAc,KAAK,YAAYA,EAAE;AAAA;AAAA,iBAErCG,EAAEH,EAAE,cAAc,KAAK,YAAYA,EAAE;AAAA;AAAA;AAAA;AAAA,WAI3C,CAAC,KAAK,SAAS;AAAA;AAAA,UAEhBjB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAQAkB;AAAA;AAAA;AAAA;AAAA,KAIL,CAAC,EAAE,SAAS87F,GAAG99F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,CAAC,EAAE,EAAE,OAAOJ,EAAE,OAAOI,EAAE,MAAM,EAAE,CAAC,OAAOA,EAAE,OAAO,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,IAAIy9F,GAAG,CAAC,WAAWz+E,GAAG,YAAY,QAAQ,WAAWw+E,EAAE,EAAE,SAASE,GAAGh+F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,KAAKM,EAAE,KAAKC,CAAC,EAAE,EAAE,EAAEL,EAAE,eAAeI,EAAE,MAAM,WAAW,EAAE,EAAEJ,EAAE,QAAQ,IAAI,EAAE,MAAM,EAAE+B,EAAE67F,GAAG,CAAC,OAAO,CAAC,EAAEx9F,CAAC,EAAE,QAAQJ,CAAC,CAAC,EAAEgC,EAAE47F,GAAG,CAAC,OAAO,CAAC,EAAEv9F,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,OAAO,EAAE,mBAAmB,CAAC,KAAK+B,EAAE,KAAKC,CAAC,EAAE,CAAC,CAAC,IAAI+7F,GAAG,CAAC,WAAWrhF,GAAG,YAAY,QAAQ,WAAWohF,EAAE,EAAME,GAAG,+BAA+BC,GAAG;AAAA;AAAA;AAAA,EAGngB,SAASC,GAAIp+F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE,EAAEJ,EAAE,eAAe,CAAC,EAAE,UAAU4mB,EAAE,kBAAkB,EAAE,SAAS,CAAC,EAAE7kB,EAAEwY,EAAE,EAAE,QAAQ,8BAA8B,EAAE,IAAIojF,GAAGM,GAAG59F,EAAE,MAAM,EAAE,KAAK,EAAE,IAAIo9F,GAAGO,GAAG39F,EAAE,MAAM,EAAE,KAAK,EAAE2B,EAAEhC,EAAE,gBAAgB+B,EAAE,CAAC1B,EAAE,CAAC,EAAE,SAAS,EAAE,OAAOL,EAAE,8BAA8B,CAAC,EAAEgC,CAAC,CAAC,IAAIm8F,GAAG,CAAC,WAAWz+E,GAAG,YAAY,QAAQ,WAAWw+E,EAAG,EAAME,GAAG,+BAA+BC,GAAG;AAAA;AAAA;AAAA,EAGla,SAASC,GAAIx+F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,EAAE,MAAMC,CAAC,EAAE,EAAE,EAAEka,EAAE,EAAE,QAAQ,8BAA8B,EAAE,IAAIojF,GAAGU,GAAGj+F,EAAE,MAAMC,EAAE,KAAK,EAAE,IAAIo9F,GAAGW,GAAGh+F,EAAE,MAAMC,EAAE,KAAK,EAAE,OAAOL,EAAE,gBAAgB,EAAE,CAACI,EAAEC,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIk+F,GAAG,CAAC,WAAWt8E,GAAG,YAAY,QAAQ,WAAWq8E,EAAG,EAAME,GAAG,0BAA0B,SAASC,GAAG,CAAC,UAAU3+F,EAAE,gBAAgB,EAAE,cAAcE,EAAE,MAAMI,CAAC,EAAE,CAAC,MAAM,CAAC,CAAC,OAAOC,EAAE,QAAQ,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,EAAEA,EAAE0B,EAAE,EAAEC,EAAE5B,GAAG,EAAE,MAAM,GAAG2B,EAAE,mBAAmB,CAAC,CAAC,CAAC,GAAG/B,GAAG,KAAK,CAAC,IAAI2C,EAAEZ,EAAE,QAAQ,IAAI,EAAE,MAAM,EAAEa,EAAE5C,EAAE2C,EAAE,OAAOX,CAAC,EAAE,OAAOD,EAAE,eAAe,EAAE,MAAMC,EAAEY,CAAC,CAAC,CAAC,IAAIX,EAAEsY,EAAE,EAAE,QAAQ,6BAA6B,GAAG,GAAG,KAAK7X,EAAE,OAAOT,EAAES,EAAE,IAAI+5F,GAAG,EAAE,MAAM,CAAC,EAAE/5F,EAAE,IAAIi5F,GAAG,EAAE,MAAM77F,CAAC,EAAEiC,EAAE,gBAAgBW,EAAE,CAAC,CAAC,EAAEV,CAAC,CAAC,CAAC,CAAC,SAAS08F,GAAG,CAAC,UAAU5+F,EAAE,gBAAgB,EAAE,iBAAiBE,EAAE,GAAG,gBAAgBI,EAAE,GAAG,cAAcC,EAAE,MAAM,CAAC,EAAE,CAAC,MAAM,CAAC,CAAC,OAAO,EAAE,QAAQ0B,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEC,EAAE,EAAEC,CAAC,EAAE,EAAES,EAAEX,EAAE,GAAG3B,GAAG4B,EAAE,QAAQ,YAAY,CAAC,IAAIc,EAAEJ,EAAE,QAAQ,IAAIV,EAAE,MAAM,EAAEgC,EAAEtB,EAAE,QAAQ,IAAIT,EAAE,MAAM,EAAE,CAAC,EAAEoF,CAAC,EAAE,CAAC,CAACvE,EAAE,mBAAmB,KAAKkB,EAAE,mBAAmB,IAAI,EAAE,CAAClB,EAAE,mBAAmB,KAAKkB,EAAE,mBAAmB,IAAI,CAAC,EAAE,IAAIS,GAAG,CAAC,GAAG,CAACC,EAAEC,CAAC,EAAEF,EAAEG,EAAE,CAAC,OAAOF,EAAE,OAAO,MAAMA,EAAE,MAAM,MAAM1C,EAAE,KAAK,EAAEsF,EAAE,CAAC,OAAO3C,EAAE,OAAO,MAAMA,EAAE,MAAM,MAAM1C,EAAE,KAAK,EAAE6C,EAAE,IAAI24F,GAAG39F,EAAEkC,EAAE,MAAMC,EAAE,KAAK,EAAE,OAAOS,EAAE,gBAAgBoC,EAAE,CAACF,EAAE0C,CAAC,EAAEmjB,GAAG/lB,EAAE,MAAMC,EAAE,KAAK,CAAC,CAAC,CAAC,EAAEE,EAAEi5F,GAAG,CAAC,OAAO,CAAC,KAAK,EAAE,KAAKz2F,CAAC,EAAE,QAAQ3E,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B2E,CAAC,EAAExC,CAAC,CAAC,IAAIlC,EAAE,GAAG8nB,GAAGzoB,EAAE,MAAMC,EAAE,KAAK,EAAE,IAAID,EAAE,QAAQ,UAAUC,EAAE,QAAQ,UAAUS,EAAE,mBAAmB,CAACV,EAAEC,CAAC,CAAC,IAAI5B,GAAG,KAAK,CAAC,IAAIyC,EAAEJ,EAAE,QAAQ,IAAIV,EAAE,MAAM,EAAE,OAAOgC,EAAEtB,EAAE,QAAQ,IAAIT,EAAE,MAAM,EAAE,OAAO,EAAED,EAAE,QAAQ,SAASs4C,EAAE,uBAAuBx3C,CAAC,EAAEA,EAAEuE,EAAErF,EAAE,QAAQ,SAASs4C,EAAE,uBAAuBt2C,CAAC,EAAEA,EAAE,CAACa,EAAEJ,CAAC,EAAEpE,EAAE2B,EAAE,MAAMC,EAAE,MAAM,EAAEoF,EAAE1E,CAAC,EAAE+B,EAAEhC,EAAE,eAAe+B,EAAE9B,CAAC,EAAEgC,EAAEjC,EAAE,QAAQ,IAAIgC,EAAE,MAAM,EAAE,OAAOC,EAAE,OAAOE,EAAEH,CAAC,CAAC,IAAI9B,EAAE2X,EAAE,EAAE,QAAQ,8BAA8B,GAAG,GAAG,KAAK1X,EAAE,OAAOD,EAAEC,EAAE,IAAI86F,GAAG,EAAE37F,EAAE,MAAMC,EAAE,MAAMjC,CAAC,EAAE6C,EAAE,IAAI46F,GAAG39F,EAAEkC,EAAE,MAAMC,EAAE,KAAK,EAAES,EAAE,gBAAgBG,EAAE,CAACb,EAAEC,CAAC,EAAEU,CAAC,CAAC,CAAC,CAAC,SAASg8F,GAAG7+F,EAAE,EAAE,GAAG,CAAC,GAAGA,IAAI,SAAS,OAAO,EAAEs8F,GAAGP,GAAG,GAAG/7F,IAAI,OAAO,OAAO,EAAEw8F,GAAGN,GAAG,GAAGl8F,IAAI,MAAM,OAAO,EAAEu8F,GAAGN,GAAG,GAAGj8F,IAAI,QAAQ,OAAO,EAAEy8F,GAAGN,GAAG,GAAGn8F,IAAI,QAAQ,OAAO,EAAEu+F,GAAGD,GAAG,GAAGt+F,IAAI,YAAY,OAAO,EAAEm+F,GAAGD,GAAG,GAAGl+F,IAAI,UAAU,OAAO,EAAE08F,GAAGL,GAAG,MAAM,IAAI,MAAM,cAAcr8F,mDAAmD,CAAC,CAAC,IAAI8+F,GAAG,KAAK,CAAC,YAAYh+F,EAAEZ,EAAE,EAAEK,EAAE,GAAGwB,EAAE,GAAGC,EAAE,GAAGC,EAAE,KAAKC,EAAE,GAAG,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,UAAU,SAAS,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAY,EAAE,KAAK,oBAAoB8zF,GAAG,KAAK,YAAY,MAAM,EAAE,IAAIpzF,EAAErC,EAAEO,EAAE,GAAGA,EAAE,GAAG,EAAE,KAAK,KAAK8B,EAAE,CAAC,EAAEE,EAAEvC,EAAE,cAAc,cAAcwC,EAAEhB,EAAE,cAAc,cAAciB,EAAEzC,EAAE,CAAC,SAAS,QAAQ,EAAE,CAAC,SAAS,QAAQ,EAAE2D,EAAEnC,EAAE,CAAC,SAAS,QAAQ,EAAE,CAAC,SAAS,QAAQ,EAAEoC,EAAE,GAAGoD,EAAE,GAAGtF,IAAIC,EAAEiC,EAAE;AAAA;AAAA,YAE5kFlC;AAAA,WACD,EAAEkC,EAAE;AAAA;AAAA,YAEHlC;AAAA,WACDkC,EAAE;AAAA,YACDlC;AAAA,WACDsF,EAAE,gCAAgC,IAAI,EAAEvF,EAAE,kCAAkC,GAAGA,GAAG,KAAK,cAAc,KAAK,MAAM,EAAEE,GAAG,KAAK,cAAc,KAAK,wBAAwB,EAAE,GAAG,KAAK,cAAc,KAAK,gBAAgB,EAAE,IAAIyC,EAAE,OAAOC,EAAE,OAAO9D,EAAE,GAAGZ,EAAE,GAAGyE,EAAE,wBAAwB7D,EAAE,GAAG,OAAOZ,EAAE,GAAGY,EAAE,KAAK8D,EAAE,wBAAwB1E,EAAE,GAAG,QAAQ,KAAK,SAAS;AAAA,QAC9ViE;AAAA;AAAA,sCAE8B;AAAA;AAAA;AAAA;AAAA,8BAIR;AAAA,yBACLQ;AAAA,yBACAC;AAAA,wCACe9B;AAAA,wCACAC;AAAA;AAAA;AAAA;AAAA,uBAIjBC,EAAE,QAAQkB,EAAE;AAAA,uBACZlB,EAAE,QAAQkB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UASzB;AAAA;AAAA,UAEAqD;AAAA;AAAA;AAAA;AAAA,KAIL,CAAC,EAAMw3F,GAAG,CAAC,KAAK,wCAAwC,KAAK,uCAAuC,EAAEC,GAAG,KAAK,CAAC,YAAYl+F,EAAEZ,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,QAAQ,QAAQ,QAAQ,OAAO,EAAE,KAAK,YAAYs6C,EAAE,2BAA2Bt6C,EAAE,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA,UAGnPY;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAUL,CAAC,EAAMm+F,GAAG,gBAAgB,SAASC,GAAGl/F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAACM,EAAI,EAAEC,CAAC,EAAE,EAAE,EAAEi6C,EAAE,WAAWl6C,EAAE,MAAMC,EAAE,KAAK,EAAE,GAAGD,EAAE,QAAQ,YAAY,CAAC,IAAI2B,EAAE/B,EAAE,QAAQ,IAAII,EAAE,MAAM,EAAE4B,EAAEhC,EAAE,QAAQ,IAAIK,EAAE,MAAM,EAAE4B,EAAE,IAAI68F,GAAGD,GAAG,KAAKz+F,EAAE,MAAMC,EAAE,KAAK,EAAEqC,EAAE,IAAIo8F,GAAGD,GAAG,KAAKz+F,EAAE,MAAMC,EAAE,KAAK,EAAEsC,EAAE,CAAC,CAAC,OAAOZ,EAAE,mBAAmB,KAAK,OAAO,MAAMA,EAAE,mBAAmB,KAAK,MAAM,MAAM3B,EAAE,KAAK,EAAE,CAAC,OAAO2B,EAAE,mBAAmB,KAAK,OAAO,MAAMA,EAAE,mBAAmB,KAAK,MAAM,MAAM3B,EAAE,KAAK,EAAE,CAAC,OAAO4B,EAAE,mBAAmB,KAAK,OAAO,MAAMA,EAAE,mBAAmB,KAAK,MAAM,MAAM3B,EAAE,KAAK,EAAE,CAAC,OAAO2B,EAAE,mBAAmB,KAAK,OAAO,MAAMA,EAAE,mBAAmB,KAAK,MAAM,MAAM3B,EAAE,KAAK,CAAC,EAAEuC,EAAE5C,EAAE,gBAAgBiC,EAAEU,EAAE,SAAS,EAAEE,EAAE7C,EAAE,gBAAgB0C,EAAEC,EAAE,SAAS,EAAEG,EAAEg7F,GAAG,CAAC,OAAO,CAAC,KAAKl7F,EAAE,KAAKC,CAAC,EAAE,QAAQ7C,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B4C,CAAC,EAAE5C,EAAE,8BAA8B6C,CAAC,EAAEC,CAAC,CAAC,GAAG9C,EAAE,mBAAmB,CAACI,EAAEC,CAAC,CAAC,EAAE,CAAC,IAAI0B,EAAE/B,EAAE,QAAQ,IAAII,EAAE,MAAM,EAAE4B,EAAEhC,EAAE,QAAQ,IAAIK,EAAE,MAAM,EAAE,CAAC4B,EAAES,CAAC,EAAE02F,GAAGh5F,EAAE,MAAMC,EAAE,MAAM0B,EAAE,OAAOC,EAAE,OAAO,CAAC,EAAEW,EAAE3C,EAAE,eAAe0C,EAAE,CAAC,EAAEE,EAAE5C,EAAE,QAAQ,IAAI2C,EAAE,MAAM,EAAE,OAAOC,EAAE,OAAOX,EAAEU,CAAC,CAAC,IAAI,EAAE,OAAO4X,EAAE,EAAE,QAAQ,8BAA8B,EAAE,EAAE,IAAIojF,GAAGoB,GAAG3+F,EAAE,MAAMC,EAAE,KAAK,EAAE,EAAE,IAAIo9F,GAAGsB,GAAG3+F,EAAE,MAAMC,EAAE,KAAK,EAAEL,EAAE,gBAAgB,EAAE,CAACI,EAAEC,CAAC,EAAE,CAAC,CAAC,CAAC,IAAI4+F,GAAG,CAAC,WAAW59E,GAAG,YAAY,QAAQ,WAAW29E,EAAE,EAAE,SAASE,GAAGp/F,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,CAACwuF,GAAG9uF,EAAE,KAAK,EAAE,GAAGqvF,GAAGrvF,EAAE,KAAK,CAAC,EAAEO,EAAE,CAAC,MAAMP,EAAE,MAAM,MAAMM,EAAE,OAAON,EAAE,MAAM,EAAE,EAAE,CAAC8uF,GAAG,CAAC,EAAE,GAAGO,GAAG,CAAC,CAAC,EAAE,EAAE,IAAI+L,GAAG,EAAE96F,CAAC,EAAE2B,EAAE,GAAGC,EAAE,CAAC5B,CAAC,EAAE6B,EAAEjC,EAAE,gBAAgB,EAAE,CAACK,CAAC,EAAEP,EAAE,MAAMkC,EAAED,CAAC,EAAE,MAAM,CAAC,OAAOE,EAAE,OAAO,MAAM,EAAE,MAAMA,EAAE,KAAK,CAAC,CAAC,SAASk9F,GAAGr/F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE,EAAEJ,EAAE+B,EAAE6kB,EAAE,cAAcvmB,EAAE,KAAK,EAAE2B,EAAE4kB,EAAE,uBAAuB,EAAE7kB,CAAC,EAAEE,EAAE2kB,EAAE,cAAc5kB,CAAC,EAAE4kB,EAAE,OAAO7kB,IAAIE,EAAE,IAAI,kBAAkBD,UAAUC,iCAAiC5B,EAAE,cAAc0B,gFAAgF,EAAE,IAAIW,EAAE,EAAE,QAAQ,IAAIrC,EAAE,MAAM,EAAE,OAAOqC,EAAE,UAAU,CAACktF,GAAGvvF,EAAE,MAAM2B,CAAC,GAAG,EAAEU,EAAE,UAAU,MAAMktF,GAAGltF,EAAE,MAAMV,CAAC,GAAGk9F,GAAG7+F,EAAE2B,EAAE,CAAC,GAAG,EAAE,OAAO3B,EAAE,MAAM,EAAE,CAAC,OAAOA,EAAE,OAAO,MAAM2B,EAAE,MAAM3B,EAAE,KAAK,EAAE,CAAC,IAAI++F,GAAG,CAAC,WAAW18E,GAAG,YAAY,QAAQ,WAAWy8E,EAAE,EAAME,GAAG,KAAK,CAAC,YAAYz+F,EAAEZ,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,GAAG,CAAC,WAAW,EAAE,UAAUK,EAAE,OAAOwB,EAAE,QAAQC,CAAC,EAAElB,EAAE,KAAK,YAAY,CAACP,EAAEyB,CAAC,EAAE,IAAIC,EAAE,KAAK,MAAM,EAAE,CAAC,EAAE,EAAEC,EAAE,EAAE,EAAE,EAAE,iCAAiC,GAAGhC,GAAG,KAAK,CAAC,IAAI,EAAE,EAAEA,EAAE,EAAE,4BAA4B4mB,EAAE,MAAM,CAAC,EAAE,EAAE,YAAY,CAAC,EAAE,WAAW,CAAC,IAAIlkB,EAAE,GAAGb,EAAE,EAAE,IAAIa,EAAE;AAAA,oCACtvEb;AAAA;AAAA;AAAA,SAG3B,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA,UAIba;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAQwB;AAAA;AAAA;AAAA;AAAA,8BAIJX;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YASlB;AAAA;AAAA;AAAA,iCAGqBA;AAAA,cACnBC,IAAI;AAAA;AAAA;AAAA,YAGN;AAAA,qBACSA,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA,YAKb;AAAA,qBACSA,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAMb;AAAA;AAAA;AAAA;AAAA,KAIP,CAAC,EAAMs9F,GAAG,KAAK,CAAC,YAAY1+F,EAAEZ,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,GAAG,CAAC,WAAW,EAAE,UAAUK,EAAE,OAAOwB,EAAE,QAAQC,CAAC,EAAElB,EAAE,KAAK,YAAY,CAACP,EAAEyB,CAAC,EAAE,IAAIC,EAAE,MAAMC,EAAE,GAAGhC,IAAI,OAAO+B,EAAE,MAAM/B,IAAI,OAAO+B,EAAE,cAAcC,EAAE,OAAOhC,IAAI,QAAQ+B,EAAE,eAAeC,EAAE,OAAO,IAAI,EAAE,GAAGhC,KAAKA,KAAKA,sEAAsEA,IAAI,MAAM,EAAE,WAAWA,IAAI,OAAO,EAAE,YAAYA,IAAI,MAAM,EAAE,WAAWA,IAAI,QAAQ,EAAE,YAAY,IAAI0C,EAAE,KAAK,MAAM,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,EAAEE,EAAE;AAAA,YACrc5C,IAAI;AAAA;AAAA,mBAEGA,IAAI;AAAA;AAAA;AAAA;AAAA,wBAICgC;AAAA,cACVhC,IAAI,YAAYA,IAAI;AAAA,0BACRgC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAOpBa,EAAE,OAAO7C,IAAI,OAAO+B,EAAE,MAAMa,EAAE;AAAA;AAAA;AAAA;AAAA,QAI5BC,EAAE,SAAS7C,IAAI,QAAQ+B,EAAE,MAAMa,EAAE;AAAA;AAAA;AAAA;AAAA,QAIjCC,EAAE,SAAS,IAAIC,EAAE,GAAGjB,EAAE,EAAE,IAAIiB,EAAE;AAAA,oCACFjB;AAAA;AAAA;AAAA,SAG3B,KAAK,SAAS;AAAA,0CACmBE;AAAA;AAAA;AAAA;AAAA,UAIhCe;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAQwB;AAAA;AAAA,kCAEAf;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMJW;AAAA;AAAA,YAElBG,cAAcA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAOdD;AAAA;AAAA;AAAA,iCAGqBF;AAAA,cACnB,IAAI;AAAA,YACNG,cAAcA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAOdD;AAAA,qBACS,IAAI;AAAA,YACbC,cAAcA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAOdD;AAAA,qBACS,IAAI;AAAA,YACbC,cAAcA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAOdD;AAAA;AAAA,oBAEQ;AAAA;AAAA,KAEf,CAAC,EAAE,SAAS28F,GAAIz/F,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,KAAK,EAAE,SAAS,GAAG,EAAE,EAAE,OAAO,GAAG,UAAU,GAAG,CAAC,IAAIE,EAAE,EAAE,OAAO,EAAE,EAAE,OAAO,GAAG,QAAQF,EAAE,GAAGM,EAAEk6C,EAAE,yBAAyBt6C,CAAC,EAAE,EAAE,KAAK,CAAC,OAAOA,EAAE,WAAWI,EAAE,QAAQ,KAAK,KAAKJ,EAAEI,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,SAASo/F,GAAG1/F,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEk/F,GAAIz/F,EAAE,KAAK,EAAE,EAAEA,EAAE,QAAQ,EAAE,EAAE,EAAEO,EAAE,OAAO,IAAI,CAAC,GAAG,CAAC,OAAO0B,EAAE,WAAWC,EAAE,QAAQC,CAAC,EAAE5B,EAAE,GAAGqC,EAAEC,EAAE3C,IAAI,OAAO0C,EAAE,IAAI,EAAE,IAAI28F,GAAG,CAAC,WAAWr9F,EAAE,OAAOD,EAAE,UAAUjC,EAAE,MAAM,GAAG,QAAQmC,CAAC,EAAEF,CAAC,EAAE,IAAIs9F,GAAG,CAAC,WAAWr9F,EAAE,OAAOD,EAAE,UAAUjC,EAAE,MAAM,GAAG,QAAQmC,CAAC,CAAC,EAAES,EAAE,IAAI48F,GAAG,CAAC,WAAWt9F,EAAE,OAAOD,EAAE,UAAUjC,EAAE,MAAM,GAAG,QAAQmC,CAAC,EAAEjC,CAAC,EAAE2C,EAAE,EAAE,EAAEvC,EAAE,gBAAgBsC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAEC,EAAE,SAAS7C,EAAE,QAAQM,EAAE,8BAA8BuC,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,IAAI88F,GAAG,KAAK,CAAC,YAAY7+F,EAAEZ,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,IAAI,EAAE,IAAI,MAAMY,EAAE,MAAM,EAAE,QAAQkB,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,EAAEA,GAAGlB,EAAEZ,EAAE8B,IAAI,KAAK,YAAY,EAAE,KAAK,KAAK,EAAE,OAAO,IAAIzB,EAAEm1F,GAAG,KAAK,IAAI,EAAE3zF,EAAE69F,GAAI1/F,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA,QAE10BK;AAAA,uBACewB;AAAA;AAAA,KAElB,CAAC,EAAE,SAAS69F,GAAI5/F,EAAE,CAAC,IAAI,EAAEA,EAAE,OAAO,GAAG,EAAE,EAAE,MAAM,MAAM,sBAAsB,wBAAwB,EAAE,IAAIE,EAAE,CAAC,UAAU,UAAU,UAAU,UAAU,UAAU,SAAS,EAAEI,EAAE,IAAI,MAAM,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEP,EAAE,OAAOO,IAAID,EAAEN,EAAEO,IAAIL,EAAEK,GAAG,OAAOD,EAAE,KAAK,CAAC,CAAC,IAAIu/F,GAAG,KAAK,CAAC,YAAY/+F,EAAEZ,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,IAAI,EAAE,IAAI,MAAMY,EAAE,MAAM,EAAE,QAAQ8B,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,EAAEA,GAAG9B,EAAEZ,EAAE0C,IAAI,GAAG,KAAK,YAAY,EAAE,KAAK,KAAK,EAAE,OAAO,KAAK,KAAK,EAAE,MAAM,MAAM,6BAA6B,KAAK,4BAA4B,EAAE,IAAIrC,EAAEm1F,GAAG,KAAK,IAAI,EAAE3zF,EAAEi5F,GAAG,KAAK,KAAK,IAAI,EAAEh5F,EAAE,IAAI,MAAM,KAAK,IAAI,EAAE,QAAQY,EAAE,EAAEA,EAAE1C,EAAE,OAAO0C,IAAIZ,EAAE9B,EAAE0C,IAAIb,EAAEa,GAAG,IAAIX,EAAE,QAAQD,EAAE,MAAM,EAAE,EAAE,KAAK,KAAKE,EAAE,KAAKH,EAAE,KAAK,KAAK,QAAQ,EAAE,KAAK,KAAK,KAAK,EAAE,mBAAmBC,EAAE,KAAK,OAAOC,KAAK,KAAK,SAAS;AAAA;AAAA,QAE/vB1B;AAAA;AAAA,oBAEY;AAAA,WACT2B;AAAA,sBACW;AAAA;AAAA,UAEZH,EAAE,KAAK,KAAK;AAAA,aACTA,EAAE,KAAK,KAAK,QAAQ,EAAE,KAAK,KAAK;AAAA,sBACvB;AAAA,aACTG;AAAA,wBACW;AAAA;AAAA;AAAA;AAAA;AAAA,KAKnB,CAAC,EAAE,SAAS49F,GAAG9/F,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEma,EAAE,EAAE,QAAQ,6BAA6B,EAAE,IAAIolF,GAAG7/F,EAAE,MAAM,CAAC,EAAE,IAAI2/F,GAAG3/F,EAAE,MAAM,CAAC,EAAE,OAAOE,EAAE,gBAAgBI,EAAE,CAACN,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,SAAS+/F,GAAG//F,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAE,EAAE,EAAEP,EAAE,MAAM,OAAO,EAAE8mB,EAAE,eAAevmB,EAAEP,EAAE,KAAK,EAAEiC,EAAE,EAAEC,EAAEs4C,EAAE,mBAAmBv4C,EAAE,CAAC,EAAEE,EAAED,GAAG,KAAKU,EAAE5C,EAAEmC,IAAIS,EAAEk9F,GAAG9/F,EAAEkC,EAAE5B,CAAC,EAAE2B,EAAEu4C,EAAE,iBAAiBv4C,EAAE,OAAO,CAAC,GAAGu4C,EAAE,2BAA2B,MAAMv4C,EAAE,CAAC,EAAE,GAAG,CAACY,EAAEC,CAAC,EAAE03C,EAAE,0BAA0B53C,EAAE,MAAMX,CAAC,EAAEc,EAAEF,EAAE3C,IAAI6C,EAAEy3C,EAAE,qBAAqB33C,EAAE,CAAC,GAAG,IAAIG,EAAE8jB,EAAE,cAAchkB,CAAC,EAAEqB,EAAE2iB,EAAE,cAAc9mB,EAAE,KAAK,EAAEgD,EAAEuE,EAAE83F,GAAG,CAAC,OAAO,CAAC,EAAEz8F,CAAC,EAAE,MAAM,CAAC,MAAM,CAACuB,EAAEnB,CAAC,CAAC,EAAE,QAAQ1C,CAAC,CAAC,EAAE,EAAEsqB,GAAG5qB,EAAE,KAAK,EAAE2E,EAAE+6F,GAAGn4F,EAAE,EAAE,MAAMjH,CAAC,EAAEsE,EAAEy6F,GAAG,CAAC,OAAO,CAAC,EAAE16F,CAAC,EAAE,MAAM,CAAC,MAAM5B,CAAC,EAAE,QAAQzC,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BiH,CAAC,EAAEjH,EAAE,8BAA8BqE,CAAC,EAAExC,GAAG7B,EAAE,8BAA8BsC,CAAC,EAAEgC,CAAC,CAAC,SAASo7F,GAAGhgG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE,OAAOy/F,GAAGx/F,EAAE,EAAE,EAAEL,CAAC,CAAC,CAAC,IAAI+/F,GAAG,CAAC,WAAWj8E,GAAG,YAAY,QAAQ,WAAWg8E,EAAE,EAAE,SAASE,GAAGlgG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAEJ,EAAE+B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE,IAAI,MAAMD,CAAC,EAAE,QAAQW,EAAE,EAAEA,EAAEV,EAAE,OAAOU,IAAIV,EAAEU,GAAGrC,EAAE,MAAM,EAAEqC,IAAI,IAAIT,EAAE,GAAG,EAAE,mBAAmB,CAAC5B,CAAC,CAAC,EAAE,CAAC,IAAI,EAAE,EAAE,QAAQ,IAAIA,EAAE,MAAM,EAAE,OAAOuC,EAAEg4F,GAAG,EAAEv6F,EAAE,MAAMA,EAAE,MAAM,EAAE2B,CAAC,EAAEC,EAAE,EAAE,eAAeD,EAAE3B,EAAE,KAAK,EAAE,IAAIwC,EAAE,EAAE,QAAQ,IAAIZ,EAAE,MAAM,EAAEY,EAAE,OAAOD,CAAC,MAAMX,EAAE29F,GAAGv/F,EAAE,EAAE,CAAC,EAAE,OAAO4B,CAAC,CAAC,IAAIg+F,GAAG,CAAC,WAAW96E,GAAG,YAAY,QAAQ,WAAW66E,EAAE,EAAME,GAAG,IAAI,SAASC,GAAG,CAAC,EAAErgG,EAAE,EAAE,EAAE,WAAWE,EAAE,WAAWI,EAAE,QAAQC,EAAE,KAAK,EAAE,KAAK,uBAAuB,EAAE,KAAK,eAAe0B,EAAE,EAAE,WAAWC,EAAE,IAAI,EAAE,CAAC,IAAIC,EAAEnC,EAAE,MAAM,OAAO4C,EAAE,EAAE,MAAM,OAAOC,EAAE3C,EAAEF,EAAE,MAAMmC,EAAE,GAAGnC,EAAE,MAAMmC,EAAE,GAAGW,EAAExC,EAAE,EAAE,MAAMsC,EAAE,GAAG,EAAE,MAAMA,EAAE,GAAGG,EAAE7C,EAAEF,EAAE,MAAMmC,EAAE,GAAGnC,EAAE,MAAMmC,EAAE,GAAGa,EAAE1C,EAAE,EAAE,MAAMsC,EAAE,GAAG,EAAE,MAAMA,EAAE,GAAGsB,EAAElE,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,EAAEuH,EAAEuf,EAAE,cAAc5iB,CAAC,EAAEa,EAAE+hB,EAAE,cAAc,CAAC,EAAEliB,EAAEmwB,GAAG,2BAA2B/0B,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,CAAC,EAAE,OAAO,CAAC+C,EAAEC,CAAC,CAAC,EAAE8jB,EAAE,OAAOjkB,IAAIC,EAAE,IAAI,kCAAkCD,WAAWC,6BAA6B9C,EAAE,aAAa,EAAE,wBAAwBE,oBAAoBI,eAAe,EAAE,IAAIuE,EAAE3E,EAAE,CAACqH,EAAE1E,EAAEE,CAAC,EAAE,CAACwE,EAAExE,EAAEF,CAAC,EAAEiC,EAAExE,EAAE,CAACyE,EAAE/B,EAAEF,CAAC,EAAE,CAACiC,EAAEjC,EAAEE,CAAC,EAAEwE,EAAE63F,GAAG,CAAC,OAAO,CAAC,EAAEr/F,CAAC,EAAE,QAAQO,EAAE,MAAM,CAAC,MAAMsE,CAAC,CAAC,CAAC,EAAEG,EAAEq6F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ9+F,EAAE,MAAM,CAAC,MAAMuE,CAAC,CAAC,CAAC,EAAE2C,EAAE,CAACD,EAAExC,CAAC,EAAEC,EAAE,KAAK,IAAIsC,EAAExC,CAAC,EAAEG,EAAEhF,EAAEsH,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGrC,EAAE,GAAG,KAAKC,EAAE,GAAG,KAAKC,EAAEnD,IAAI,YAAYoD,EAAEpD,GAAG,KAAK28F,GAAG38F,EAAE,EAAE,EAAE,KAAK+F,EAAE9C,GAAGC,GAAGC,GAAGC,GAAG,KAAKqC,EAAE,IAAI5E,IAAI,GAAGC,IAAI,IAAIkC,EAAEk7F,IAAIn4F,IAAI,GAAG,CAAC,IAAIE,EAAGX,EAAEY,EAAGpD,EAAE9E,IAAIiI,EAAG+3F,GAAG,CAAC,OAAO,CAAC,EAAE14F,CAAC,EAAE,QAAQjH,EAAE,MAAM,CAAC,KAAK,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEkH,EAAE,KAAKU,CAAE,GAAG7H,IAAI8H,EAAG83F,GAAG,CAAC,OAAO,CAAC,EAAEl7F,CAAC,EAAE,QAAQzE,EAAE,MAAM,CAAC,KAAK,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEkH,EAAE,KAAKW,CAAE,GAAG,IAAIC,EAAGrF,IAAI,EAAEsF,GAAGtF,IAAI,EAAEuF,GAAGJ,EAAGE,IAAKE,GAAG82F,GAAG,CAAC,OAAO,CAAC,EAAEl3F,CAAE,EAAE,QAAQ5H,EAAE,MAAM,CAAC,MAAM,CAAC0E,EAAEC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEuC,EAAE,KAAKc,EAAE,GAAG,IAAI5B,GAAG3D,IAAI,EAAE,EAAE,EAAEyF,GAAGL,EAAGE,KAAKG,GAAG42F,GAAG,CAAC,OAAO,CAAC,EAAEj3F,CAAE,EAAE,QAAQ7H,EAAE,MAAM,CAAC,MAAM,CAAC0E,EAAE,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAEuC,EAAE,KAAKgB,EAAE,GAAG,IAAIC,GAAGw2F,GAAG,CAAC,OAAO,CAAC,EAAE32F,GAAG,EAAEE,EAAE,EAAE,QAAQlI,CAAC,CAAC,EAAEoH,EAAEq4F,GAAG,CAAC,OAAO,CAAC,EAAEt3F,EAAE,EAAE,QAAQnI,EAAE,MAAM,CAAC,KAAKoG,GAAG,SAAS,EAAE,CAAC,CAAC,EAAEc,EAAE,KAAKiB,EAAE,CAAC,KAAK,CAAC,IAAIP,EAAGwiB,GAAG3qB,EAAE,MAAM,EAAE,KAAK,EAAEoI,EAAG,IAAI02F,GAAGj6F,EAAEC,EAAE,CAACG,EAAElC,EAAEC,CAAC,EAAE9C,EAAEI,EAAE6E,EAAEG,EAAEF,EAAEC,CAAC,EAAEgD,EAAG,CAACb,EAAExC,CAAC,EAAE,GAAG,GAAG,MAAMqD,EAAG,KAAK,CAAC,EAAEjD,GAAGiD,EAAG,KAAK,CAAC,EAAEhD,EAAE,CAAC,IAAIiD,GAAG/H,EAAE,eAAe,CAAC,EAAE,UAAUumB,EAAE,kBAAkB7kB,EAAE,SAAS,CAAC,EAAEoG,EAAG,KAAKC,EAAE,EAAEb,EAAE,KAAKa,EAAE,CAAC,CAACX,EAAEpH,EAAE,gBAAgB6H,EAAGC,EAAGF,CAAE,CAAC,CAAC,IAAID,EAAEm3F,GAAG,CAAC,OAAO,CAAC,EAAE13F,CAAC,EAAE,QAAQpH,EAAE,MAAM,CAAC,MAAMqE,CAAC,CAAC,CAAC,EAAE6C,EAAE,KAAKE,CAAC,EAAE,QAAQQ,KAAMV,EAAElH,EAAE,8BAA8B4H,CAAE,EAAE,OAAOD,CAAC,CAAC,SAASo4F,GAAItgG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,EAAE,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,WAAWC,EAAE,WAAWC,EAAE,WAAWS,EAAE,eAAeC,CAAC,EAAEvC,EAAE,OAAO+/F,GAAG,CAAC,EAAE9/F,EAAE,EAAE,EAAE,WAAW2B,EAAE,WAAWC,EAAE,QAAQjC,EAAE,KAAK,EAAE,uBAAuB+B,EAAE,eAAeY,EAAE,WAAWD,CAAC,CAAC,CAAC,CAAC,IAAI29F,GAAG,CAAC,WAAWz6E,GAAG,YAAY,QAAQ,WAAWw6E,EAAG,EAAME,GAAG,iBAAiB,SAASC,GAAIzgG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,CAAC,EAAE,EAAE,GAAGJ,EAAE,mBAAmB,CAACI,CAAC,CAAC,GAAGA,EAAE,QAAQ,YAAY,CAAC,IAAI,EAAEJ,EAAE,QAAQ,IAAII,EAAE,MAAM,EAAE,EAAE25F,GAAG,EAAE,MAAM,EAAE,OAAO/5F,EAAE,eAAeI,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,CAAC,IAAIC,EAAE,OAAOka,EAAE,EAAE,QAAQ,6BAA6B,EAAEla,EAAE,IAAIo8F,GAAGr8F,EAAE,MAAMkgG,EAAE,EAAEjgG,EAAE,IAAIs7F,GAAGv7F,EAAE,MAAMkgG,EAAE,EAAEtgG,EAAE,gBAAgBK,EAAE,CAACD,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAIogG,GAAG,CAAC,WAAWxlF,GAAG,YAAY,QAAQ,WAAWulF,EAAG,EAAME,GAAI7E,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA,EAKzvH8E,GAAIjC,GAAG,CAAC,UAAUgC,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAW1lF,GAAG,YAAY,QAAQ,WAAWylF,EAAG,EAAME,GAAIhF,GAAG;AAAA;AAAA,oCAEvDiF,GAAIpC,GAAG,CAAC,UAAUmC,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAW5lF,GAAG,YAAY,QAAQ,WAAW2lF,EAAG,EAAME,GAAG,gBAAgBC,GAAItC,GAAG,CAAC,UAAUqC,GAAG,gBAAgBA,GAAG,gBAAgB,GAAG,cAAchJ,EAAE,CAAC,EAAEkJ,GAAG,CAAC,WAAW9lF,GAAG,YAAY,QAAQ,WAAW6lF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYtgG,EAAEZ,EAAE,CAAC,KAAK,YAAY,CAAC,EAAE,KAAK,YAAYY,EAAE,KAAK,cAAcZ,EAAE,IAAI,CAAC6B,EAAEC,IAAI,IAAIA,GAAG,EAAE,IAAI,EAAE,CAAC,EAAE,KAAK,cAAc,QAAQD,GAAG,CAAC,EAAE,KAAK,UAAUA,UAAUA,iBAAiB,CAAC,CAAC,EAAE,IAAIxB,EAAE,KAAK,cAAc,IAAIwB,GAAG,IAAIA,GAAG,EAAE,KAAK,KAAK,EAAE,KAAK,SAAS;AAAA;AAAA,UAE5gB,EAAE,KAAK;AAAA,SACR;AAAA;AAAA,yBAEgBxB;AAAA;AAAA;AAAA,KAGpB,CAAC,EAAM8gG,GAAG,KAAK,CAAC,YAAYvgG,EAAEZ,EAAE,CAAC,KAAK,YAAY,CAAC,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAYY,EAAE,KAAK,cAAcZ,EAAE,IAAI,CAAC6B,EAAEC,IAAI,IAAIA,GAAG,EAAE,IAAI,EAAE,CAAC,EAAE,KAAK,cAAc,QAAQD,GAAG,CAAC,EAAE,KAAK,SAASA,UAAUA,iBAAiB,CAAC,CAAC,EAAE,IAAIxB,EAAE,KAAK,cAAc,IAAIwB,GAAG,IAAIA,GAAG,EAAE,KAAK,KAAK,EAAE,KAAK,SAAS;AAAA;AAAA,UAEhT,EAAE,KAAK;AAAA,SACR;AAAA;AAAA,wBAEexB;AAAA;AAAA;AAAA,KAGnB,CAAC,EAAE,SAAS+gG,GAAGthG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAEM,EAAE,EAAE,GAAGA,EAAE,SAAS,EAAE,OAAOw9F,GAAG,CAAC,OAAO,CAAC,EAAEx9F,EAAE,EAAE,EAAE,QAAQJ,CAAC,CAAC,EAAE,GAAGI,EAAE,OAAOma,EAAE,EAAE,IAAI,8BAA8B,EAAE,CAAC,IAAIvY,EAAE,KAAK,MAAM5B,EAAE,OAAO,CAAC,EAAE,EAAEghG,GAAG,CAAC,OAAOhhG,EAAE,MAAM,EAAE4B,CAAC,EAAE,QAAQhC,CAAC,CAAC,EAAE0C,EAAE0+F,GAAG,CAAC,OAAOhhG,EAAE,MAAM4B,CAAC,EAAE,QAAQhC,CAAC,CAAC,EAAE,OAAOohG,GAAG,CAAC,OAAO,CAAC,EAAE1+F,CAAC,EAAE,QAAQ1C,CAAC,CAAC,CAAC,CAAC,IAAIK,EAAED,EAAE,IAAI4B,GAAGA,EAAE,KAAK,EAAE,OAAO,CAACA,EAAE,IAAIyoB,GAAGzoB,EAAE,CAAC,CAAC,EAAE,EAAE5B,EAAE,IAAI4B,GAAGA,EAAE,KAAK,EAAED,EAAEwY,EAAE,EAAE,QAAQ,YAAY,EAAE,IAAI4mF,GAAG/gG,EAAE,GAAG,MAAM,CAAC,EAAE,IAAI8gG,GAAG9gG,EAAE,GAAG,MAAM,CAAC,EAAE,OAAOJ,EAAE,gBAAgB+B,EAAE3B,EAAEC,CAAC,CAAC,CAAC,IAAIghG,GAAG,CAAC,WAAWjmF,GAAG,YAAY,QAAQ,WAAWgmF,EAAE,EAAE,SAASE,GAAIxhG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE4kB,EAAE,eAAe,EAAEvmB,EAAE,KAAK,EAAE4B,EAAED,EAAEU,EAAE43C,EAAE,mBAAmBr4C,EAAEF,CAAC,EAAEY,EAAEtC,EAAEqC,GAAG,OAAOC,EAAEq9F,GAAG,CAAC,OAAO,CAAC,EAAE3/F,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAK0C,CAAC,CAAC,CAAC,EAAET,EAAEq4C,EAAE,iBAAiBr4C,EAAE,OAAOF,CAAC,GAAGu4C,EAAE,2BAA2B,MAAMr4C,EAAEF,CAAC,EAAE,GAAG,CAACa,EAAEC,CAAC,EAAEy3C,EAAE,0BAA0B33C,EAAE,MAAMV,CAAC,EAAEa,EAAE8jB,EAAE,cAAc/jB,CAAC,EAAEmB,EAAEm7F,GAAG,CAAC,OAAO,CAAC,EAAEx8F,CAAC,EAAE,QAAQ3C,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG8C,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE08F,GAAGx7F,EAAEA,EAAE,MAAM,MAAMhE,CAAC,EAAEqH,EAAE,GAAG,EAAE,CAAC,IAAIxC,EAAEy1C,EAAE,qBAAqB13C,EAAEZ,CAAC,EAAEqF,EAAE83F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQn/F,EAAE,MAAM,CAAC,MAAM6E,CAAC,CAAC,CAAC,CAAC,MAAMwC,EAAE83F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQn/F,EAAE,MAAM,CAAC,MAAM4C,CAAC,CAAC,CAAC,EAAE,OAAO5C,EAAE,8BAA8BgE,CAAC,EAAEhE,EAAE,8BAA8B,CAAC,EAAE0C,GAAG,MAAM1C,EAAE,8BAA8B2C,CAAC,EAAE0E,CAAC,CAAC,IAAIk6F,GAAG,CAAC,WAAWlmF,GAAG,YAAY,QAAQ,WAAWimF,EAAG,EAAE,SAASE,GAAI1hG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE4kB,EAAE,eAAe,EAAEvmB,EAAE,KAAK,EAAE4B,EAAED,EAAEU,EAAE43C,EAAE,mBAAmBr4C,EAAEF,CAAC,EAAEY,EAAEtC,EAAEqC,GAAG,OAAOC,EAAEq9F,GAAG,CAAC,OAAO,CAAC,EAAE3/F,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAK0C,CAAC,CAAC,CAAC,EAAET,EAAEq4C,EAAE,iBAAiBr4C,EAAE,OAAOF,CAAC,GAAGu4C,EAAE,2BAA2B,MAAMr4C,EAAEF,CAAC,EAAE,GAAG,CAACa,EAAEC,CAAC,EAAEy3C,EAAE,0BAA0B33C,EAAE,MAAMV,CAAC,EAAEa,EAAE8jB,EAAE,cAAc/jB,CAAC,EAAEmB,EAAEm7F,GAAG,CAAC,OAAO,CAAC,EAAEx8F,CAAC,EAAE,QAAQ3C,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG8C,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE08F,GAAGx7F,EAAEA,EAAE,MAAM,MAAMhE,CAAC,EAAEqH,EAAE,GAAG,EAAE,CAAC,IAAIxC,EAAEy1C,EAAE,qBAAqB13C,EAAEZ,CAAC,EAAEqF,EAAE83F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQn/F,EAAE,MAAM,CAAC,MAAM6E,CAAC,CAAC,CAAC,CAAC,MAAMwC,EAAE83F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQn/F,EAAE,MAAM,CAAC,MAAM4C,CAAC,CAAC,CAAC,EAAE,OAAO5C,EAAE,8BAA8BgE,CAAC,EAAEhE,EAAE,8BAA8B,CAAC,EAAE0C,GAAG,MAAM1C,EAAE,8BAA8B2C,CAAC,EAAE0E,CAAC,CAAC,IAAIo6F,GAAG,CAAC,WAAWnmF,GAAG,YAAY,QAAQ,WAAWkmF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAY9gG,EAAEZ,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,GAAG,CAAC,WAAWK,EAAE,UAAUwB,EAAE,QAAQC,CAAC,EAAElB,EAAE,GAAG,KAAK,cAAc,KAAK,cAAc,EAAE,KAAK,YAAY,CAACiB,EAAEC,CAAC,EAAE,IAAIC,EAAE/B,IAAI,MAAM,IAAI,IAAIgC,EAAE,EAAE,gBAAgB,+CAA+C,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA,kCAK1uE3B;AAAA;AAAA;AAAA;AAAA;AAAA,8BAKJA;AAAA,wBACN2B;AAAA;AAAA,0BAEED;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAOrB,CAAC,EAAM4/F,GAAG,KAAK,CAAC,YAAY/gG,EAAEZ,EAAE,EAAEK,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAGumB,EAAE,OAAOhmB,EAAE,OAAO,EAAE,IAAI,aAAa,EAAE,OAAO,CAAC,EAAE,YAAY,EAAE,EAAE,MAAM,CAAC,2CAA2C,EAAE,IAAIiB,EAAEjB,EAAEA,EAAE,OAAO,GAAGkB,EAAE,KAAK,KAAKD,EAAE7B,CAAC,EAAE,KAAK,YAAYY,EAAE,MAAM,EAAE,EAAE,EAAEkB,EAAE,GAAG,KAAK,YAAY,KAAKA,CAAC,EAAEzB,GAAG,KAAK,cAAc,KAAK,cAAc,EAAE,IAAI0B,EAAE,KAAK,YAAYC,EAAED,EAAE,OAAO,EAAEyzF,GAAGxzF,CAAC,EAAEU,EAAEq4F,GAAG,SAAS/4F,CAAC,EAAE,EAAEY,EAAE,GAAGd,IAAI,EAAE,CAACc,EAAEZ,EAAE,EAAE,IAAI8C,EAAE0wF,GAAG5yF,CAAC,EAAE,EAAE;AAAA,UAClckC,kBAAkBA,KAAKpC,EAAE,KAAK;AAAA,YAC5BA,EAAEV,EAAE;AAAA,UACN8C,kBAAkBA,KAAKpC,EAAE,KAAK;AAAA,YAC5BA,EAAEV,EAAE;AAAA,UACN8C,kBAAkBA,KAAKpC,EAAE,KAAK;AAAA,YAC5BA,EAAEV,EAAE;AAAA,UACN8C,kBAAkBA,KAAKpC,EAAE,KAAK;AAAA,YAC5BA,EAAEV,EAAE,KAAK,MAAMY,EAAEZ,EAAE,EAAE;AAAA,UACvB;AAAA,YACEU,EAAEV,EAAE;AAAA,UACN;AAAA,YACEU,EAAEV,EAAE;AAAA,UACN;AAAA,YACEU,EAAEV,EAAE;AAAA,UACN;AAAA,YACEU,EAAEV,EAAE,MAAM,IAAIa,EAAE,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,GAAG,EAAE,MAAM,EAAED,CAAC,EAAEE,EAAE,IAAID,EAAED,EAAE,GAAGoB,EAAEnB,EAAE,IAAIiC,GAAG,OAAOA,CAAC,EAAEb,EAAE82F,GAAG,aAAan4F,EAAE,CAAC,EAAE,OAAO,SAAS,EAAEyE,EAAE0zF,GAAG,aAAan4F,EAAE,CAAC,EAAE,OAAO,SAAS,EAAE,EAAEm4F,GAAG,aAAan4F,EAAE,CAAC,EAAE,OAAO,SAAS,EAAE6B,EAAEs2F,GAAG,aAAan4F,EAAE,CAAC,EAAE,OAAO,SAAS,EAAE8B,EAAE,IAAI,MAAM,cAAc,WAAWC,EAAEtE,EAAE,GAAG;AAAA,sDAC7P4D,EAAE,KAAK;AAAA,sDACPoD,EAAE,KAAK;AAAA,sDACP,EAAE,KAAK;AAAA,sDACP5C,EAAE,KAAK,QAAQG,EAAE;AAAA,0BAC7CX,EAAE,KAAK;AAAA,uCACMoD,EAAE,KAAK;AAAA,uCACP,EAAE,KAAK;AAAA,qDACO5C,EAAE,KAAK,WAAW6C,EAAEjH,EAAE,GAAG;AAAA,qCACzC2D,EAAE,KAAK;AAAA,4CACAnB,EAAE,KAAK;AAAA,iDACFA,EAAE,MAAM,EAAE,EAAE,KAAK;AAAA,SACzD,KAAK,SAAS;AAAA,0BACGmB,EAAE,KAAK;AAAA,iCACAnB,EAAE,KAAK;AAAA,sCACFA,EAAE,MAAM,EAAE,EAAE,KAAK;AAAA;AAAA,QAE/CyE;AAAA;AAAA,UAEE;AAAA,4BACkB5E,EAAEV,EAAE,QAAQD,EAAEC,EAAE,GAAG;AAAA,4BACnBU,EAAEV,EAAE,QAAQD,EAAEC,EAAE,GAAG;AAAA,UACrC;AAAA,yCAC+Bc,gBAAgBA;AAAA,sBACnCA,gBAAgBA,QAAQ9C;AAAA;AAAA;AAAA,2BAGnB4E;AAAA;AAAA,8BAEG5E;AAAA;AAAA,YAElB2E;AAAA,6BACiBC;AAAA;AAAA;AAAA,mBAGVF;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAWd,CAAC,EAAE,SAASk9F,GAAG9hG,EAAE,EAAEE,EAAEI,EAAE,KAAK,CAAC,IAAIC,EAAE,EAAE,MAAM,GAAG,EAAE,EAAE,MAAM,GAAGD,GAAG,OAAOC,EAAED,EAAE,MAAM,GAAG,EAAEA,EAAE,MAAM,IAAI,IAAI,EAAEk6C,EAAE,yBAAyB,CAAC,EAAEv4C,EAAE,CAAC,WAAW,EAAE,OAAO,EAAE,UAAU1B,EAAE,QAAQ,KAAK,KAAK,EAAE,CAAC,CAAC,EAAE2B,EAAE,IAAI0/F,GAAG3/F,EAAE/B,EAAEI,GAAG,IAAI,EAAE6B,EAAE,CAAC,CAAC,EAAE7B,GAAG,MAAM6B,EAAE,KAAK7B,CAAC,EAAE,IAAIsC,EAAE5C,EAAE,gBAAgBkC,EAAEC,EAAE,OAAO,EAAE,GAAGS,EAAE,MAAM,KAAK,EAAE,OAAOA,EAAE,IAAIC,EAAEi/F,GAAG9hG,EAAE,EAAEE,EAAE0C,CAAC,EAAE,OAAO5C,EAAE,8BAA8B4C,CAAC,EAAEC,CAAC,CAAC,SAASk/F,GAAG/hG,EAAE,EAAEE,EAAEI,EAAE,KAAK,CAAC,IAAIC,EAAED,GAAG,KAAKA,EAAE,MAAM,EAAE,MAAM,EAAEC,EAAEA,EAAE,OAAO,GAAG,EAAEi6C,EAAE,yBAAyB,CAAC,EAAEv4C,EAAE,IAAI4/F,GAAGthG,EAAE,EAAEL,EAAEI,GAAG,IAAI,EAAE4B,EAAE5B,GAAG,KAAK,CAAC,CAAC,EAAE,CAAC,EAAEA,CAAC,EAAE6B,EAAEnC,EAAE,gBAAgBiC,EAAEC,EAAE,OAAO,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,OAAO,CAAC,IAAIS,EAAEm/F,GAAG/hG,EAAE,EAAEE,EAAEiC,CAAC,EAAE,OAAOnC,EAAE,8BAA8BmC,CAAC,EAAES,CAAC,CAAC,OAAOT,CAAC,CAAC,SAAS6/F,GAAGhiG,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAE,CAACL,CAAC,EAAE,GAAGs6C,EAAE,2BAA2B,MAAMl6C,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAEC,EAAE,EAAE,MAAM,MAAM,EAAE,CAACka,EAAE,EAAE,QAAQ,mBAAmB,GAAG,EAAE,MAAM,QAAQ,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,EAAEza,EAAE,QAAQ,IAAI,EAAE,MAAM,EAAEiC,EAAE,IAAI,MAAM,EAAE,SAASC,EAAE,EAAED,IAAIC,EAAElC,EAAE,aAAa,CAAC,EAAE,EAAE,KAAKkC,CAAC,GAAG,GAAG,CAACC,EAAES,CAAC,EAAE43C,EAAE,0BAA0Bt4C,EAAE,MAAM3B,CAAC,EAAEsC,EAAEikB,EAAE,cAAclkB,CAAC,EAAEE,EAAEu8F,GAAG,CAAC,OAAO,CAAC,EAAEn9F,CAAC,EAAE,QAAQlC,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG6C,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE,KAAKC,CAAC,EAAE,IAAIC,EAAE++F,GAAG9hG,EAAE8C,EAAExC,CAAC,EAAE,EAAE,KAAKyC,CAAC,EAAE,IAAIC,EAAEq8F,GAAG,CAAC,OAAO,CAAC,EAAEt8F,CAAC,EAAE,QAAQ/C,EAAE,MAAM,CAAC,MAAMmC,CAAC,CAAC,CAAC,EAAE,OAAO,EAAE,QAAQ+B,GAAGlE,EAAE,8BAA8BkE,CAAC,CAAC,EAAElB,CAAC,CAAC,OAAO++F,GAAG/hG,EAAE,EAAEM,CAAC,CAAC,CAAC,SAAS2hG,GAAIjiG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAEwmB,EAAE,eAAe,EAAEvmB,EAAE,KAAK,EAAE0B,EAAEu4C,EAAE,mBAAmB,EAAEj6C,EAAE,MAAM,MAAM,EAAE2B,EAAE3B,EAAE4B,EAAE,CAAC,EAAEF,GAAG,OAAOC,EAAEg+F,GAAG,CAAC,OAAO,CAAC,EAAE3/F,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAK+B,CAAC,CAAC,CAAC,EAAEE,EAAE,KAAKD,CAAC,EAAE,EAAEs4C,EAAE,iBAAiB,EAAE,OAAOt4C,EAAE,MAAM,MAAM,GAAGs4C,EAAE,2BAA2B,SAAS,CAAC,EAAE,EAAE,EAAEt4C,EAAE,MAAM,MAAM,EAAE,IAAIU,EAAEo/F,GAAG9hG,EAAEgC,EAAE,EAAE,GAAG,KAAK,EAAE,OAAOC,EAAE,QAAQU,GAAG3C,EAAE,8BAA8B2C,CAAC,CAAC,EAAED,CAAC,CAAC,IAAIs/F,GAAG,CAAC,WAAWzmF,GAAG,YAAY,QAAQ,WAAWwmF,EAAG,EAAE,SAASE,GAAIniG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAEwmB,EAAE,eAAe,EAAEvmB,EAAE,KAAK,EAAE0B,EAAEu4C,EAAE,mBAAmB,EAAEj6C,EAAE,MAAM,MAAM,EAAE2B,EAAE3B,EAAE4B,EAAE,CAAC,EAAEF,GAAG,OAAOC,EAAEg+F,GAAG,CAAC,OAAO,CAAC,EAAE3/F,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAK+B,CAAC,CAAC,CAAC,EAAEE,EAAE,KAAKD,CAAC,EAAE,EAAEs4C,EAAE,iBAAiB,EAAE,OAAOt4C,EAAE,MAAM,MAAM,GAAGs4C,EAAE,2BAA2B,SAAS,CAAC,EAAE,EAAE,EAAEt4C,EAAE,MAAM,MAAM,EAAE,IAAIU,EAAEo/F,GAAG9hG,EAAEgC,EAAE,EAAE,GAAG,KAAK,EAAE,OAAOC,EAAE,QAAQU,GAAG3C,EAAE,8BAA8B2C,CAAC,CAAC,EAAED,CAAC,CAAC,IAAIw/F,GAAG,CAAC,WAAW1mF,GAAG,YAAY,QAAQ,WAAWymF,EAAG,EAAME,GAAIvG,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA,EAK1mEwG,GAAI3D,GAAG,CAAC,UAAU0D,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAW5mF,GAAG,YAAY,QAAQ,WAAW2mF,EAAG,EAAME,GAAI1G,GAAG,qCAAqC2G,GAAI9D,GAAG,CAAC,UAAU6D,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAW9mF,GAAG,YAAY,QAAQ,WAAW6mF,EAAG,EAAME,GAAI7G,GAAG;AAAA;AAAA,EAEvN8G,GAAIjE,GAAG,CAAC,UAAUgE,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAWhnF,GAAG,YAAY,QAAQ,WAAW+mF,EAAG,EAAME,GAAIpF,GAAG;AAAA;AAAA,EAEzFqF,GAAI;AAAA;AAAA;AAAA;AAAA;AAAA,IAKFnF,GAAG;AAAA;AAAA,EAELoF,GAAIpE,GAAG,CAAC,UAAUkE,GAAI,gBAAgBC,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAWlnF,GAAG,YAAY,QAAQ,WAAWinF,EAAG,EAAME,GAAIpH,GAAG;AAAA;AAAA,6CAElEqH,GAAIxE,GAAG,CAAC,UAAUuE,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAWtnF,GAAG,YAAY,QAAQ,WAAWqnF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYviG,EAAEZ,EAAE,EAAEK,EAAE,GAAGwB,EAAE,GAAG,CAAC,GAAG,KAAK,cAAc,CAAC,GAAG,EAAE7B,IAAI,OAAO,EAAE,MAAM,IAAI,MAAM,4CAA4C,EAAE,IAAI8B,EAAElB,EAAE,YAAYmB,EAAEnB,EAAE,aAAaoB,EAAEpB,EAAE,YAAY,EAAEA,EAAE,eAAe8B,EAAE9B,EAAE,cAAc,EAAEA,EAAE,sBAAsBgC,EAAEhC,EAAE,qBAAqBiC,EAAEjC,EAAE,QAAQ,IAAIkC,EAAElC,EAAE,QAAQ,KAAK,KAAK,YAAYA,EAAE,SAAS,IAAIoD,EAAEhE,IAAI,MAAMiE,EAAE,cAAcrD,EAAE,oBAAoBA,EAAE,mBAAmBA,EAAE,iBAAiByG,EAAE,SAASzG,EAAE,mBAAmBA,EAAE,iBAAiB,EAAE,MAAM,GAAGoD,IAAI,EAAE,gBAAgB,EAAE,CAAC,IAAIc,EAAE,KAAK,KAAK,SAAS;AAAA,sCAC9nB/C,MAAMC;AAAA,mCACTa,MAAMC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAkBP;AAAA,sBACZ;AAAA;AAAA;AAAA,kCAGYlC,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAgC;AAAA,wBACZF;AAAA;AAAA;AAAA,oCAGY9B,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0BAUZkE;AAAA;AAAA;AAAA,mCAGSzE,EAAEwB,EAAEoC,EAAEoD,EAAE,QAAQzE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAM3C,MAAM,CAAC,IAAI6B,EAAE,MAAMC,EAAE,GAAG1E,KAAKA,KAAKA,sEAAsEA,IAAI,QAAQ0E,EAAE,oBAAoB,IAAIC,EAAE,KAAK,MAAM7C,EAAE,CAAC,EAAE,EAAE8C,EAAE9C,EAAE,EAAEwF,EAAE;AAAA,YACtKtD;AAAA;AAAA;AAAA,wBAGYS;AAAA;AAAA,MAElB,KAAK,SAAS;AAAA,oCACgB1C,MAAMC;AAAA,iCACTa,MAAMC;AAAA,0CACG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMZlC,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAkBE;AAAA;AAAA;AAAA;AAAA,gCAIF;AAAA,oBACZ;AAAA;AAAA;AAAA,gCAGYA,EAAE;AAAA;AAAA;AAAA;AAAA,kCAIA+D;AAAA,uCACKjC;AAAA;AAAA;AAAA;AAAA,yCAIEA;AAAA,6CACIA;AAAA,6CACAA;AAAA;AAAA;AAAA,cAG/B4E;AAAA;AAAA;AAAA,gCAGkB3C;AAAA,gBAChBC,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,cAQN0C;AAAA,uBACS1C,IAAI;AAAA;AAAA;AAAA,yCAGclC;AAAA;AAAA;AAAA;AAAA;AAAA,cAK3B4E;AAAA,uBACS1C,IAAI;AAAA;AAAA;AAAA,yCAGclC;AAAA,6CACIA;AAAA;AAAA;AAAA;AAAA,cAI/B4E;AAAA;AAAA;AAAA,oBAGM5C;AAAA;AAAA,KAEf,CAAC,EAAE0+F,GAAG,KAAK,CAAC,YAAYxiG,EAAEZ,EAAE,EAAEK,EAAE,GAAGwB,EAAE,GAAG,CAAC,GAAG,KAAK,cAAc,CAAC,GAAG,EAAE7B,IAAI,OAAO,EAAE,MAAM,IAAI,MAAM,4CAA4C,EAAE,IAAI8B,EAAElB,EAAE,YAAYmB,EAAEnB,EAAE,YAAYoB,EAAEpB,EAAE,aAAa,EAAEA,EAAE,YAAY8B,EAAE9B,EAAE,cAAc,EAAEA,EAAE,eAAegC,EAAEhC,EAAE,cAAciC,EAAEjC,EAAE,qBAAqBkC,EAAElC,EAAE,sBAAsBoD,EAAEpD,EAAE,qBAAqBqD,EAAErD,EAAE,QAAQ,MAAMyG,EAAEzG,EAAE,QAAQ,IAAI,EAAEA,EAAE,QAAQ,KAAK,KAAK,YAAYA,EAAE,SAAS,IAAI6D,EAAEzE,IAAI,MAAM0E,EAAE,MAAM,GAAGD,IAAIC,EAAE,gBAAgB,EAAE,CAAC,IAAIK,EAAE,KAAK,KAAK,SAAS;AAAA;AAAA,oBAErehD,MAAMC,MAAM;AAAA,mCACGiC,MAAMoD,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAkBbxE;AAAA,sBACZH;AAAA;AAAA;AAAA,kCAGY9B,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAkC;AAAA,wBACZ;AAAA;AAAA;AAAA,oCAGYlC,EAAE;AAAA;AAAA;AAAA;AAAA,sCAIAoD;AAAA,0BACZpB;AAAA;AAAA;AAAA,sCAGYhC,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,4BAUZmE;AAAA;AAAA;AAAA,qCAGS1E,EAAEwB,EAAE,cAAcjB,EAAE,mBAAmBA,EAAE,oBAAoBA,EAAE,mBAAmBA,EAAE,kBAAkB,UAAUA,EAAE,oBAAoBA,EAAE,mBAAmBA,EAAE,kBAAkB,QAAQkC,OAAOkB;AAAA,6BACtMA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAOrB,MAAM,CAAC,IAAIW,EAAE,MAAMC,EAAE,GAAG5E,KAAKA,KAAKA,sEAAsEA,IAAI,QAAQ4E,EAAE,oBAAoB,IAAI0C,EAAE,KAAK,MAAMxF,EAAE,CAAC,EAAE,EAAEgD,EAAEhD,EAAE,EAAEyF,EAAE;AAAA,YACtK9C;AAAA;AAAA;AAAA,wBAGYE;AAAA;AAAA,MAElB,KAAK,SAAS;AAAA;AAAA,gBAEJ5C,MAAMC,MAAM;AAAA,iCACKiC,MAAMoD,MAAM;AAAA,0CACH3C;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMZ9D,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAmBE8D;AAAA;AAAA;AAAA;AAAA,gCAIF7B;AAAA,oBACZH;AAAA;AAAA;AAAA,gCAGY9B,EAAE;AAAA;AAAA;AAAA;AAAA,kCAIAkC;AAAA,oBACd;AAAA;AAAA;AAAA,kCAGclC,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIA0G;AAAA,yCACK1E;AAAA;AAAA;AAAA;AAAA,+CAIMA;AAAA,mDACIA;AAAA,mDACAA;AAAA;AAAA;AAAA,gBAGnC2E;AAAA;AAAA;AAAA,kCAGkBD;AAAA,kBAChBxC,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gBAQNyC;AAAA,yBACSzC,IAAI;AAAA;AAAA;AAAA,+CAGkBlC;AAAA;AAAA;AAAA;AAAA;AAAA,gBAK/B2E;AAAA,yBACSzC,IAAI;AAAA;AAAA;AAAA,+CAGkBlC;AAAA,mDACIA;AAAA;AAAA;AAAA;AAAA,gBAInC2E;AAAA;AAAA;AAAA,sBAGM3C;AAAA;AAAA;AAAA,KAGjB,CAAC,EAAE,SAASy+F,GAAIvjG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAEwtF,GAAGxtF,EAAE,SAAS,EAAE,GAAG,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,CAAC,EAAE5B,EAAE6B,EAAE,EAAE2kB,EAAE,OAAO0zB,EAAE,+BAA+B,EAAEr4C,CAAC,EAAE,IAAI,wEAAwE,oBAAoBA,IAAI,EAAE,IAAIS,EAAE43C,EAAE,kBAAkBj6C,EAAE,MAAM,EAAE,EAAE4B,EAAEF,EAAEC,CAAC,EAAE,GAAGU,EAAE,cAAc,GAAGA,EAAE,eAAe,GAAGkkB,EAAE,YAAYlkB,EAAE,QAAQA,EAAE,QAAQ,EAAE,OAAOk7F,GAAG,CAAC,OAAO,CAAC,EAAEv9F,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,IAAI2C,EAAE,IAAIwgG,GAAGzgG,EAAE,MAAM,EAAE,EAAE,OAAO1C,EAAE,gBAAgB2C,EAAE,CAACtC,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIijG,GAAG,CAAC,WAAWxnF,GAAG,YAAY,QAAQ,WAAWunF,EAAG,EAAE,SAASE,GAAIzjG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,EAAE,WAAWC,CAAC,EAAE7B,EAAEsC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEC,EAAE23C,EAAE,kBAAkBj6C,EAAE,MAAM,EAAE,EAAEqC,EAAEX,EAAEC,EAAEC,CAAC,EAAEW,EAAE,IAAIwgG,GAAGzgG,EAAE,MAAM,EAAE,EAAE,OAAO3C,EAAE,gBAAgB4C,EAAE,CAACvC,CAAC,EAAE,SAAS,CAAC,CAAC,IAAImjG,GAAG,CAAC,WAAWxnF,GAAG,YAAY,QAAQ,WAAWunF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAY7iG,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,EAAE,KAAK,YAAYA,EAAE,QAAQ,IAAIZ,EAAEY,EAAE,aAAa,EAAEA,EAAE,YAAYP,EAAEO,EAAE,aAAaiB,EAAEjB,EAAE,YAAYkB,EAAElB,EAAE,eAAemB,EAAEnB,EAAE,cAAcoB,EAAEpB,EAAE,sBAAsB,EAAEA,EAAE,qBAAqB8B,EAAEV,EAAE,EAAEpB,EAAE,QAAQ,IAAI,EAAE,EAAE,EAAEA,EAAE,QAAQ,KAAKgC,EAAE,GAAG5C,EAAE,GAAG,KAAK,SAAS;AAAA,iCACpnC0C,MAAM;AAAA,0CACGE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAcVZ;AAAA,oBACZF;AAAA,gDAC4BzB;AAAA;AAAA,oCAEZO,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,kCAKJ;AAAA,mBACfmB;AAAA,kDAC+BF;AAAA;AAAA,sCAEZjB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAanC,CAAC,EAAE8iG,GAAG,KAAK,CAAC,YAAY9iG,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,EAAE,KAAK,YAAYA,EAAE,QAAQ,IAAIZ,EAAEY,EAAE,YAAY,EAAEA,EAAE,aAAaP,EAAEO,EAAE,YAAYiB,EAAEjB,EAAE,YAAYkB,EAAElB,EAAE,aAAamB,EAAEnB,EAAE,YAAYoB,EAAEpB,EAAE,cAAc,EAAEA,EAAE,eAAe8B,EAAE9B,EAAE,cAAc,EAAEA,EAAE,qBAAqBgC,EAAEhC,EAAE,sBAAsBiC,EAAEjC,EAAE,qBAAqBkC,EAAE,EAAE,EAAElC,EAAE,QAAQ,MAAMoD,EAAEpB,EAAE,EAAEhC,EAAE,QAAQ,IAAIqD,EAAEpB,EAAE,EAAEjC,EAAE,QAAQ,KAAKyG,EAAE,GAAGrH,EAAE,EAAEK,GAAG,KAAK,SAAS;AAAA,iCACtXyC,MAAMkB,MAAMC;AAAA,0CACHoD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAiBV;AAAA,oBACZrF;AAAA,gDAC4BH;AAAA;AAAA,oCAEZjB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,kCAKJgC;AAAA,sBACZ;AAAA,kDAC4Bd;AAAA;AAAA,sCAEZlB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oCAMJiC;AAAA,wBACZH;AAAA,oDAC4BX;AAAA;AAAA,wCAEZnB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAcrC,CAAC,EAAE,SAAS+iG,GAAI7jG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,MAAM,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,WAAW0B,EAAE,QAAQC,EAAE,IAAIC,EAAE,gBAAgBS,CAAC,EAAEtC,EAAEuC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEC,EAAE03C,EAAE,kBAAkB,EAAE,MAAMv4C,EAAEC,EAAEW,EAAEV,EAAES,CAAC,EAAEG,EAAE,IAAI6gG,GAAG9gG,CAAC,EAAE,OAAO5C,EAAE,gBAAgB6C,EAAE,CAACxC,CAAC,EAAE,EAAE,KAAK,CAAC,CAAC,IAAIujG,GAAG,CAAC,WAAW3nF,GAAG,YAAY,QAAQ,WAAW0nF,EAAG,EAAE,SAASE,GAAI/jG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,MAAM,CAAC,EAAE,EAAE,EAAE,EAAEwtF,GAAG,CAACxtF,EAAE,CAAC,EAAE,aAAa,EAAE,GAAG,CAAC,WAAW0B,EAAE,QAAQC,EAAE,IAAIC,CAAC,EAAE7B,EAAEsC,EAAE43C,EAAE,kBAAkB,EAAE,MAAMv4C,EAAEC,EAAE,EAAEC,CAAC,EAAEU,EAAE,IAAI8gG,GAAG/gG,CAAC,EAAE,OAAO1C,EAAE,gBAAgB2C,EAAE,CAACtC,CAAC,EAAE,EAAE,KAAK,CAAC,CAAC,IAAIyjG,GAAG,CAAC,WAAW/nF,GAAG,YAAY,QAAQ,WAAW8nF,EAAG,EAAE,SAASE,GAAIjkG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,WAAW0B,CAAC,EAAE3B,EAAE,OAAO+/F,GAAG,CAAC,EAAE9/F,EAAE,EAAE,EAAE,WAAW,EAAE,WAAW0B,EAAE,QAAQ/B,CAAC,CAAC,CAAC,CAAC,IAAIgkG,GAAG,CAAC,WAAW9nF,GAAG,YAAY,QAAQ,WAAW6nF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYrjG,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAE,CAAC,KAAK,YAAY,CAAC,EAAE,KAAK,cAAc,CAAC,IAAI,OAAO,UAAU,EAAEw4C,EAAE,2BAA2B15C,EAAEZ,CAAC,EAAEs6C,EAAE,2BAA2B15C,EAAE,CAAC,EAAE,IAAImB,EAAE,MAAM1B,GAAG,OAAOi6C,EAAE,2BAA2B15C,EAAEP,CAAC,EAAE,KAAK,cAAc,KAAK,QAAQ,EAAE0B,EAAE,0BAA0B,IAAIC,EAAE,MAAMH,GAAG,OAAOy4C,EAAE,2BAA2B15C,EAAEiB,CAAC,EAAE,KAAK,cAAc,KAAK,OAAO,EAAEG,EAAE,yBAAyB,KAAK,YAAYpB,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA,yBAKrqCmB;AAAA,wBACDC;AAAA,2DACmCF;AAAA;AAAA;AAAA,KAGtD,CAAC,EAAMoiG,GAAG,KAAK,CAAC,YAAYtjG,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAE,CAAC,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,cAAc,CAAC,IAAI,OAAO,UAAU,EAAEw4C,EAAE,2BAA2B15C,EAAEZ,CAAC,EAAEs6C,EAAE,2BAA2B15C,EAAE,CAAC,EAAE,IAAImB,EAAE,YAAY1B,GAAG,OAAOi6C,EAAE,2BAA2B15C,EAAEP,CAAC,EAAE,KAAK,cAAc,KAAK,QAAQ,EAAE0B,EAAE,0BAA0B,IAAIC,EAAE,YAAYH,GAAG,OAAOy4C,EAAE,2BAA2B15C,EAAEiB,CAAC,EAAE,KAAK,cAAc,KAAK,OAAO,EAAEG,EAAE,yBAAyB,KAAK,YAAYpB,EAAE,KAAK,SAAS;AAAA;AAAA,wBAEtcmB;AAAA,uBACDC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yDAMkCF;AAAA;AAAA;AAAA;AAAA,KAIpD,CAAC,EAAMqiG,GAAI,CAAC,CAAC,OAAOrkG,EAAE,QAAQ,EAAE,MAAME,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEI,EAAE,KAAKC,EAAE,SAAS,EAAE,OAAO,EAAE,MAAM0B,CAAC,EAAEjC,EAAE8mB,EAAE,OAAOvmB,EAAE,MAAM,SAAS,EAAE,MAAM,OAAO,IAAI,8EAA8E,EAAEumB,EAAE,OAAO,GAAG,MAAMvmB,EAAE,MAAM,SAAS,EAAE,MAAM,OAAO,IAAI,4EAA4E,EAAEumB,EAAE,OAAO7kB,GAAG,MAAM1B,EAAE,MAAM,SAAS0B,EAAE,MAAM,OAAO,IAAI,2EAA2E,EAAE,GAAG,CAAC,gBAAgBC,CAAC,EAAEhC,EAAEgC,GAAG,OAAOA,EAAE,MAAM,IAAIC,EAAE,CAAC7B,EAAEC,EAAE,CAAC,EAAEqC,EAAE,KAAK,GAAG,OAAOA,EAAE,EAAE,MAAMT,EAAE,KAAK,CAAC,GAAG,IAAIU,EAAE,KAAKZ,GAAG,OAAOY,EAAEZ,EAAE,MAAME,EAAE,KAAKF,CAAC,GAAG,IAAIa,EAAE2X,EAAE,EAAE,QAAQ,0BAA0B,EAAE,IAAI2pF,GAAG9jG,EAAE,MAAMC,EAAE,MAAM,EAAE,MAAMqC,EAAEC,EAAEX,CAAC,EAAE,IAAIiiG,GAAG7jG,EAAE,MAAMC,EAAE,MAAM,EAAE,MAAMqC,EAAEC,EAAEX,CAAC,EAAE,OAAO,EAAE,gBAAgBY,EAAEX,EAAEA,EAAE,GAAG,KAAK,CAAC,EAAEmiG,GAAG,CAAC,WAAWrlF,GAAG,YAAY,QAAQ,WAAWolF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYzjG,EAAE,CAAC,KAAK,cAAc,CAAC,QAAQ,EAAE,KAAK,YAAYA,EAAE,KAAK,KAAKA,EAAE,OAAO,IAAIZ,EAAEw1F,GAAG,KAAK,IAAI,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,QAAQ,WAAW,KAAK,KAAK,KAAK,KAAK,CAAC,EAAE,IAAI,EAAE8O,GAAI,KAAK,IAAI,EAAEjkG,EAAEwB,EAAEjB,EAAE,IAAI,CAACkB,EAAEC,IAAI,aAAawiG,GAAGxiG,cAAcA,eAAewiG,GAAGxiG,KAAK,EAAE1B,EAAE;AAAA,UACplCL;AAAA,UACAA;AAAA,UACA6B,EAAE,KAAK;AAAA,CAChB;AAAA,QACO,KAAK,SAAS;AAAA;AAAA,UAEZxB;AAAA,8BACoB;AAAA;AAAA,KAEzB,CAAC,EAAEkkG,GAAG,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,GAAG,EAAE,SAASD,GAAIxkG,EAAE,CAAC,GAAGA,IAAI,EAAE,MAAM,YAAY,GAAGA,GAAG,EAAE,OAAOykG,GAAG,MAAM,EAAEzkG,CAAC,EAAE,IAAI,GAAG,aAAa,CAAC,EAAE,KAAK,GAAG,EAAE,MAAM,MAAM,oBAAoBA,wBAAwB,CAAC,CAAC,IAAI0kG,GAAG,KAAK,CAAC,YAAY5jG,EAAE,CAAC,KAAK,cAAc,CAAC,QAAQ,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAYA,EAAE,KAAK,KAAKA,EAAE,OAAO,KAAK,eAAe,CAAC,CAAC,KAAK,QAAQ,WAAW,KAAK,KAAK,KAAK,KAAK,CAAC,EAAE,IAAIZ,EAAEw1F,GAAG,KAAK,IAAI,EAAE,EAAEuF,GAAG,SAAS,KAAK,IAAI,EAAE16F,EAAE06F,GAAG,YAAY,KAAK,IAAI,EAAEl5F,EAAE,KAAK,OAAO,EAAE,YAAY,QAAQxB,EAAE,MAAM,EAAE,EAAE,KAAK,KAAKyB,EAAE,wBAAwBzB,EAAE,KAAK,OAAOwB,KAAKE,EAAE;AAAA,mBACtjBD;AAAA,cACL,EAAE,KAAK,KAAK,QAAQlB,EAAE,KAAK,KAAK;AAAA,YAClCP,EAAE,KAAK,KAAK;AAAA,qBACHyB;AAAA,YACTzB,EAAE,KAAK,KAAK;AAAA;AAAA,MAElB2B,EAAE,KAAK,OAAO,EAAE,GAAG;AAAA,UACf,EAAE,KAAK,KAAK;AAAA,cACR,EAAE,KAAK,KAAK,QAAQpB,EAAE,KAAK,KAAK;AAAA,YAClCP,EAAE,KAAK,KAAK;AAAA,qBACHyB;AAAA,gBACL,EAAE,KAAK,KAAK,QAAQlB,EAAE,KAAK,KAAK;AAAA,cAClCP,EAAE,KAAK,KAAK;AAAA,uBACHyB;AAAA;AAAA;AAAA,MAGjB,EAAE,KAAK,MAAM,EAAE;AAAA,cACP9B,KAAKY,EAAE,IAAI,CAAC8B,EAAE,IAAI,SAAS,IAAI,EAAE,KAAK,MAAM9B,EAAE,IAAI,CAAC8B,EAAE,IAAI,GAAGrC,EAAE,QAAQ,EAAE,cAAc,KAAK,EAAE,KAAK;AAAA,CAC/G,EAAE,KAAK,SAAS;AAAA;AAAA,UAEPL;AAAA,UACAA;AAAA,UACA;AAAA;AAAA,UAEA+B;AAAA,UACAC;AAAA;AAAA;AAAA,KAGL,CAAC,EAAE,SAASyiG,GAAI3kG,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAED,EAAE,QAAQ,IAAIN,EAAE,MAAM,EAAE,EAAEM,EAAE,eAAeJ,EAAEF,EAAE,KAAK,EAAE,EAAEM,EAAE,QAAQ,IAAI,EAAE,MAAM,EAAE,OAAO,OAAO,EAAEC,CAAC,EAAE,EAAE,SAAS,EAAE,EAAE,MAAML,EAAE,EAAE,MAAMF,EAAE,MAAM,IAAIiC,EAAEm0B,GAAG,kBAAkB,EAAEtP,EAAE,eAAe9mB,EAAE,KAAK,CAAC,EAAEO,EAAE,QAAQ0B,GAAG1B,EAAE,MAAM,YAAY,EAAE,MAAM,CAAC,WAAW0B,EAAE,WAAW1B,EAAE,OAAOA,EAAE,MAAM,YAAYP,EAAE,MAAM,EAAE,IAAIkC,EAAE5B,EAAE,aAAa,IAAI,EAAE,MAAM,UAAU,GAAG,EAAE,OAAOA,EAAE,aAAa,IAAI,EAAE,MAAM,WAAW4B,EAAE,CAAC,EAAE,CAAC,CAAC,SAAS0iG,GAAG5kG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,KAAK,CAAC,EAAED,EAAE,CAAC2B,EAAEC,CAAC,EAAEk0B,GAAG,iBAAiB71B,EAAE,EAAE,CAAC,EAAE,GAAG61B,GAAG,kBAAkB71B,EAAE0B,EAAEC,CAAC,EAAE4kB,EAAE,cAAc5kB,CAAC,IAAI,EAAE,OAAOhC,EAAE,eAAegC,EAAE3B,EAAE,MAAM,CAAC,CAAC,EAAE,GAAGL,EAAE,mBAAmB,CAACK,CAAC,CAAC,GAAGA,EAAE,QAAQ,SAAS,CAAC,IAAIsC,EAAE3C,EAAE,QAAQ,IAAIK,EAAE,MAAM,EAAEuC,EAAEo3F,GAAGr3F,EAAE,OAAOZ,EAAEC,EAAE3B,EAAE,MAAMA,EAAE,KAAK,EAAE,OAAOL,EAAE,eAAegC,EAAE3B,EAAE,MAAMuC,CAAC,CAAC,CAAC,GAAG,CAAC,SAASX,CAAC,EAAEjC,EAAE,QAAQ,IAAIK,EAAE,MAAM,EAAEqC,EAAEwzB,GAAG,iBAAiB71B,EAAE,MAAM0B,EAAEC,CAAC,EAAE,GAAGC,GAAG,CAACS,EAAE,CAAC,IAAIC,EAAE4X,EAAE,EAAE,QAAQ,6BAA6B,EAAE,IAAIiqF,GAAGxiG,CAAC,EAAE,IAAIqiG,GAAGriG,CAAC,EAAEY,EAAE,CAACb,CAAC,EAAE,OAAO/B,EAAE,gBAAgB2C,EAAE,CAACtC,CAAC,EAAEA,EAAE,MAAMuC,CAAC,CAAC,CAAC,OAAO5C,EAAE,YAAYK,EAAE,MAAM,EAAEokG,GAAIpkG,EAAE0B,EAAEC,EAAEhC,CAAC,CAAC,CAAC,IAAI2kG,GAAG,CAAC,WAAWphF,GAAG,YAAY,QAAQ,WAAWmhF,EAAE,EAAME,GAAI9kG,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,MAAM,CAAC,EAAED,EAAEwmB,EAAE,OAAOvmB,EAAE,MAAM,QAAQ,EAAE,IAAI,sEAAsE,EAAE,IAAI0B,EAAE,EAAE,OAAO,CAAC8C,EAAEJ,IAAII,EAAEJ,CAAC,EAAEzC,EAAEs4C,EAAE,YAAYj6C,EAAE,MAAM,EAAE0B,CAAC,EAAEE,EAAEq4C,EAAE,YAAYt4C,EAAE,OAAO,EAAE,MAAM,EAAEU,EAAE43C,EAAE,oBAAoBj6C,EAAE,MAAM,EAAE0B,CAAC,EAAEY,EAAE23C,EAAE,oBAAoB,EAAE,EAAE,MAAM,EAAE13C,EAAE03C,EAAE,aAAa53C,EAAE,EAAE,EAAE,MAAM,EAAEG,EAAE,CAAC,EAAEC,EAAEq8F,GAAG,CAAC,OAAO,CAAC,EAAE9+F,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAMgC,CAAC,CAAC,CAAC,EAAEgC,EAAEg8F,GAAG,CAAC,OAAO,CAAC,EAAEl9F,CAAC,EAAE,QAAQ9C,EAAE,MAAM,CAAC,KAAKiC,CAAC,CAAC,CAAC,EAAE,EAAEk9F,GAAG,CAAC,OAAO,CAAC,EAAEn7F,CAAC,EAAE,QAAQhE,EAAE,MAAM,CAAC,MAAM0C,CAAC,CAAC,CAAC,EAAE2E,EAAEq9F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ1kG,EAAE,MAAM,CAAC,MAAM2C,EAAE,KAAKC,CAAC,CAAC,CAAC,EAAE,OAAOC,EAAE,KAAKC,CAAC,EAAED,EAAE,KAAKmB,CAAC,EAAEnB,EAAE,KAAK,CAAC,EAAEA,EAAE,QAAQgC,GAAG7E,EAAE,8BAA8B6E,CAAC,CAAC,EAAEwC,CAAC,EAAEw9F,GAAG,CAAC,WAAW1oF,GAAG,YAAY,QAAQ,WAAWyoF,EAAG,EAAE,SAASE,GAAIhlG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE2B,EAAE/B,EAAE,SAASK,EAAE,MAAM,EAAE2B,EAAEhC,EAAE,SAAS,EAAE,MAAM,EAAEiC,EAAE+1F,GAAGj2F,EAAEC,EAAE,EAAE,MAAM,EAAE,MAAM,CAAC,EAAE,OAAOhC,EAAE,eAAe,CAAC,CAAC,EAAE,EAAE,MAAMiC,CAAC,CAAC,CAAC,IAAI8iG,GAAG,CAAC,WAAW3oF,GAAG,YAAY,QAAQ,WAAW0oF,EAAG,EAAE,SAASE,GAAIllG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,GAAGM,EAAE,GAAGC,CAAC,EAAE,EAAE,EAAEL,EAAE,SAASI,EAAE,MAAM,EAAE,EAAEJ,EAAE,SAASK,EAAE,MAAM,EAAE0B,EAAEu4C,EAAE,2BAA2B,MAAM,KAAK,CAAC,EAAE,MAAM,KAAK,CAAC,CAAC,EAAE,OAAOt6C,EAAE,eAAe,CAAC+B,EAAE,MAAM,EAAE,QAAQ,WAAW,KAAKA,CAAC,CAAC,CAAC,CAAC,IAAIkjG,GAAG,CAAC,WAAW3oF,GAAG,YAAY,QAAQ,WAAW0oF,EAAG,EAAME,GAAI,wBAAwBC,GAAGzG,GAAG,CAAC,UAAUwG,GAAI,cAAc5L,GAAG,MAAM,MAAM,CAAC,EAAE8L,GAAG,CAAC,WAAW7jF,GAAG,YAAY,QAAQ,WAAW4jF,EAAE,EAAE,SAASE,GAAGvlG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMM,CAAC,EAAE,EAAEC,EAAEL,EAAE,QAAQ,IAAII,EAAE,MAAM,EAAE,OAAOw9F,GAAG,CAAC,OAAO,CAAC,EAAEv9F,EAAE,mBAAmB,IAAI,EAAE,QAAQL,CAAC,CAAC,CAAC,CAAC,IAAIslG,GAAG,CAAC,WAAW/iF,GAAG,YAAY,QAAQ,WAAW8iF,EAAE,EAAME,GAAI,wBAAwB,SAASC,GAAG1lG,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI27F,GAAG77F,EAAE,MAAMylG,EAAG,EAAEnlG,EAAE,EAAE,gBAAgBJ,EAAE,CAACF,CAAC,EAAE,OAAO,EAAE,MAAM,CAAC,OAAOM,EAAE,OAAO,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,SAASqlG,GAAG3lG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE,GAAG,IAAI,YAAY,CAAC,GAAGC,EAAE,QAAQ,YAAY,OAAOu9F,GAAG,CAAC,OAAO,CAAC,EAAEv9F,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,IAAI,EAAEmoC,GAAG9nC,EAAE,KAAK,EAAE0B,EAAE0jG,GAAG,CAAC,OAAO,CAAC,EAAEplG,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAEgC,EAAE87F,GAAG,CAAC,OAAO,CAAC,KAAK/7F,EAAE,KAAK,CAAC,EAAE,QAAQ/B,CAAC,CAAC,EAAE,OAAO,EAAE,QAAQ,EAAEA,EAAE,8BAA8B+B,CAAC,EAAEC,CAAC,CAAC,GAAG3B,EAAE,QAAQ,YAAY,CAAC,IAAI,EAAEglG,GAAG,CAAC,OAAO,CAAC,MAAMhlG,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE+B,EAAE0jG,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQzlG,EAAE,MAAM,CAAC,MAAM,CAAC,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B,CAAC,EAAE+B,CAAC,CAAC,GAAG,CAAC6kB,EAAE,gBAAgBvmB,EAAE,MAAM,CAAC,EAAE,CAAC,IAAI,EAAEu9F,GAAG,CAAC,OAAO,CAAC,EAAEv9F,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,MAAM,CAAC,OAAO,EAAE,OAAO,MAAM,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC,GAAGA,EAAE,mBAAmB,CAACK,CAAC,CAAC,EAAE,CAAC,IAAI,EAAEL,EAAE,QAAQ,IAAIK,EAAE,MAAM,EAAE,OAAO,CAAC0B,EAAEC,EAAEC,CAAC,EAAEi2F,GAAG,EAAE73F,EAAE,MAAMA,EAAE,MAAM,CAAC,EAAE,OAAOL,EAAE,eAAe+B,EAAEC,EAAEC,CAAC,CAAC,CAAC,GAAG,IAAI,QAAQ,OAAOujG,GAAGnlG,EAAEL,CAAC,EAAE,GAAG,IAAI,OAAO,CAAC,IAAI,EAAEA,EAAE,eAAe,CAAC,EAAE,OAAO4mB,EAAE,uBAAuB,OAAO,CAAC,CAAC,EAAE5kB,EAAEmjG,GAAG,CAAC,OAAO,CAAC,EAAE9kG,EAAE,EAAE,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B,CAAC,EAAEgC,CAAC,CAAC,MAAM,IAAI,MAAM,iCAAiC3B,EAAE,YAAY,GAAG,CAAC,CAAC,IAAIqlG,GAAG,CAAC,WAAWnpF,GAAG,YAAY,QAAQ,WAAWkpF,EAAE,EAAME,GAAG,kBAAkBC,GAAInH,GAAG,CAAC,UAAUkH,GAAG,gBAAgBA,GAAG,cAAcxN,EAAE,CAAC,EAAE0N,GAAG,CAAC,WAAWrpF,GAAG,YAAY,QAAQ,WAAWopF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYllG,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,SAAS,KAAK,OAAO,EAAE,CAAC,KAAK,SAAS,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAWjlI,CAAC,EAAMmlG,GAAG,KAAK,CAAC,YAAYnlG,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,eAAe,CAAC,CAAC,KAAK,SAAS,KAAK,OAAO,EAAE,CAAC,KAAK,SAAS,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAWnN,CAAC,EAAE,SAASolG,GAAIlmG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,aAAa,EAAE,aAAa,CAAC,EAAED,EAAE2B,EAAEwY,EAAE,EAAE,QAAQ,iBAAiB,EAAExY,EAAE,IAAIgkG,GAAG1lG,EAAE,KAAK,EAAE0B,EAAE,IAAI+jG,GAAGzlG,EAAE,KAAK,EAAE,IAAI2B,EAAE,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,EAAE,OAAOhC,EAAE,gBAAgB+B,EAAE,CAAC1B,CAAC,EAAEA,EAAE,MAAM2B,CAAC,CAAC,CAAC,IAAIikG,GAAG,CAAC,WAAWxpF,GAAG,YAAY,QAAQ,WAAWupF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYtlG,EAAE,CAAC,KAAK,cAAc,CAAC,OAAO,MAAM,EAAE,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAaxX,CAAC,EAAE,SAASulG,GAAGrmG,EAAE,EAAE,CAAC,MAAM,CAAC,OAAO,EAAE,OAAO,MAAM,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,SAASsmG,GAAItmG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,CAAC,EAAE,EAAEC,EAAEL,EAAE,QAAQ,IAAII,EAAE,MAAM,EAAE,EAAE,IAAI8lG,GAAG9lG,EAAE,KAAK,EAAE,EAAE,CAAC+lG,GAAG/lG,EAAEC,EAAE,mBAAmB,IAAI,EAAE8lG,GAAG/lG,EAAEC,EAAE,mBAAmB,IAAI,CAAC,EAAE,OAAOL,EAAE,gBAAgB,EAAE,EAAE,EAAE,GAAG,KAAK,CAAC,CAAC,IAAIqmG,GAAG,CAAC,WAAW1pF,GAAG,YAAY,QAAQ,WAAWypF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAY1lG,EAAE,CAAC,KAAK,YAAY,CAAC,EAAE,KAAK,YAAY05C,EAAE,gBAAgB15C,EAAE,CAAC,EAAE,KAAK,cAAcA,EAAE,IAAI,CAACkB,EAAEC,IAAI,IAAIA,GAAG,EAAE,IAAI/B,EAAE,IAAI,MAAMY,EAAE,OAAO,CAAC,EAAEZ,EAAE,GAAGY,EAAE,GAAG,GAAG,QAAQkB,EAAE,EAAEA,EAAE9B,EAAE,OAAO8B,IAAI9B,EAAE8B,GAAG9B,EAAE8B,EAAE,GAAGlB,EAAEkB,GAAG,GAAG,IAAI,EAAE,CAAC,YAAY9B,EAAE,+BAA+B,EAAE,QAAQ8B,EAAE,EAAEA,EAAE9B,EAAE,OAAO8B,IAAI,CAAC,IAAIC,EAAE/B,EAAE8B,EAAE,GAAG,EAAE,KAAK,iBAAiB9B,EAAE8B,qBAAqBA,YAAYC,MAAM,CAAC,CAAC,IAAI1B,EAAEL,EAAE,OAAO6B,EAAE7B,EAAEA,EAAE,OAAO,GAAG,EAAE,KAAK,sBAAsBK,YAAYwB,MAAM,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAMjyB,EAAE,KAAK;AAAA,SACR;AAAA;AAAA,KAEJ,CAAC,EAAM0kG,GAAG,KAAK,CAAC,YAAY3lG,EAAEZ,EAAE,CAAC,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAY,CAAC,EAAE,KAAK,YAAYs6C,EAAE,gBAAgB15C,EAAEZ,CAAC,EAAE,IAAI,EAAE,KAAK,YAAYK,EAAE,EAAE,OAAOwB,EAAE2zF,GAAGn1F,CAAC,EAAEyB,EAAEi5F,GAAG,SAAS16F,CAAC,EAAE0B,EAAE,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,GAAG,EAAE,MAAM,EAAE1B,CAAC,EAAE,KAAK,cAAcO,EAAE,IAAI,CAACoD,EAAEC,IAAI,IAAIA,GAAG,EAAE,IAAIjC,EAAE,IAAI,MAAMpB,EAAE,OAAO,CAAC,EAAEoB,EAAE,GAAGpB,EAAE,GAAGZ,GAAG,QAAQgE,EAAE,EAAEA,EAAEhC,EAAE,OAAOgC,IAAIhC,EAAEgC,GAAGhC,EAAEgC,EAAE,GAAGpD,EAAEoD,GAAGhE,GAAG,IAAI,EAAE+B,EAAE/B,GAAG0C,EAAEX,EAAE,MAAM,EAAE,EAAE,EAAEA,EAAE,KAAK,EAAEa,EAAE,OAAO,OAAOZ,EAAE;AAAA;AAAA,oBAEjZ,YAAYU,EAAE,KAAK;AAAA,WAC5B,QAAQsB,EAAE,EAAEA,EAAEhC,EAAE,OAAOgC,IAAI,CAAC,IAAIC,EAAEjC,EAAEgC,EAAE,GAAGpB,GAAG;AAAA,cACzC,OAAOZ,EAAEgC,UAAU,QAAQhC,EAAEgC,EAAE;AAAA;AAAA,kBAE3BA,KAAKwiG,GAAGzkG,EAAE,EAAEkC,CAAC;AAAA,mBACZuiG,GAAG9jG,EAAE,EAAEuB,CAAC;AAAA,UACjB,CAAC,IAAIpB,EAAEb,EAAE,OAAOc,EAAEd,EAAEA,EAAE,OAAO,GAAGY,GAAG;AAAA;AAAA,gBAE7BC,KAAK2jG,GAAGzkG,EAAE,EAAEe,CAAC;AAAA,iBACZ0jG,GAAG9jG,EAAE,EAAEI,CAAC,OAAO,KAAK,SAAS;AAAA,uBACvBf,EAAE,IAAIiC,GAAG,OAAOA,CAAC;AAAA,UAC9BpB;AAAA;AAAA;AAAA;AAAA,UAIAf;AAAA,sCAC4BC;AAAA;AAAA,UAE5BA,EAAEzB,EAAE,QAAQyB,EAAEzB,EAAE;AAAA,cACZyB,EAAEzB,EAAE,QAAQ,EAAEA,EAAE;AAAA,gCACEyB;AAAA;AAAA;AAAA,UAGtBA,EAAEzB,EAAE,QAAQyB,EAAEzB,EAAE;AAAA,cACZyB,EAAEzB,EAAE,QAAQ,EAAEA,EAAE;AAAA,gCACEyB;AAAA;AAAA;AAAA,UAGtBA,EAAEzB,EAAE,QAAQyB,EAAEzB,EAAE;AAAA,cACZyB,EAAEzB,EAAE,QAAQ,EAAEA,EAAE;AAAA,cAChByB,EAAEzB,EAAE,QAAQ,EAAEA,EAAE;AAAA,gCACEyB;AAAA;AAAA;AAAA;AAAA,KAI3B,CAAC,EAAE,SAAS0kG,GAAG1mG,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,QAAQ,CAAC,EAAE,OAAOA,EAAE,IAAI,CAAC+B,EAAEC,IAAIA,IAAI1B,EAAE,GAAGyB,OAAO7B,IAAI6B,CAAC,EAAE,KAAK,CAAC,CAAC,SAAS4kG,GAAG3mG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMM,CAAC,EAAE,EAAEC,EAAEL,EAAE,QAAQ,IAAII,EAAE,MAAM,EAAE,OAAOw9F,GAAG,CAAC,OAAO,CAAC,EAAEv9F,EAAE,mBAAmB,IAAI,EAAE,QAAQL,CAAC,CAAC,CAAC,CAAC,IAAI0mG,GAAG,CAAC,WAAWpnF,GAAG,YAAY,QAAQ,WAAWmnF,EAAE,EAAE,SAASE,GAAG7mG,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,GAAG,MAAM,GAAGM,IAAI,YAAY,CAAC,IAAIuC,EAAE7C,EAAE,IAAI,GAAGulG,GAAG,CAAC,OAAO,CAAC,MAAM,CAAC,EAAE,QAAQrlG,CAAC,CAAC,CAAC,EAAE4C,EAAE9C,EAAE,IAAI,GAAG2mG,GAAG,CAAC,OAAO,CAAC,MAAM,CAAC,EAAE,QAAQzmG,CAAC,CAAC,CAAC,EAAE6C,EAAE8jG,GAAGhkG,EAAE,EAAE3C,CAAC,EAAE8C,EAAE6jG,GAAG/jG,EAAE,EAAE5C,CAAC,EAAEgE,EAAE85F,GAAG,CAAC,OAAO,CAAC,KAAKj7F,EAAE,KAAKC,CAAC,EAAE,QAAQ9C,CAAC,CAAC,EAAE,OAAO2C,EAAE,QAAQ,GAAG3C,EAAE,8BAA8B,CAAC,CAAC,EAAE4C,EAAE,QAAQ,GAAG5C,EAAE,8BAA8B,CAAC,CAAC,EAAEA,EAAE,8BAA8B6C,CAAC,EAAE7C,EAAE,8BAA8B8C,CAAC,EAAEkB,CAAC,CAAC,IAAI3D,EAAEL,EAAE,mBAAmBF,CAAC,EAAE,GAAGM,IAAI,WAAWC,EAAE,IAAIA,EAAE,CAAC,IAAIsC,EAAE7C,EAAE,IAAI+E,GAAG,CAAC,IAAIJ,EAAEmiB,EAAE,cAAc/hB,EAAE,MAAM,MAAM,CAAC,CAAC,EAAE,OAAOs6F,GAAG,CAAC,OAAO,CAAC,EAAEt6F,CAAC,EAAE,QAAQ7E,EAAE,MAAM,CAAC,MAAM,CAAC,GAAGyE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE7B,EAAED,EAAE,IAAIkC,IAAI,CAAC,KAAK7E,EAAE,SAAS6E,EAAE,MAAM,EAAE,MAAMA,EAAE,KAAK,EAAE,EAAEhC,EAAEy3C,EAAE,gBAAgB33C,EAAE,IAAIkC,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAE/B,EAAEH,EAAE,GAAG,MAAM,KAAK,EAAEqB,EAAEo0F,GAAGx1F,EAAEC,EAAEzC,EAAE0C,CAAC,EAAE,EAAEw3C,EAAE,gBAAgBx6C,EAAE,IAAI+E,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAEwC,EAAErH,EAAE,eAAe,EAAEI,EAAE4D,CAAC,EAAE,OAAOrB,EAAE,QAAQkC,GAAG7E,EAAE,8BAA8B6E,CAAC,CAAC,EAAEwC,CAAC,CAAC,IAAI,EAAEkT,EAAE,EAAE,UAAU,8BAA8B,EAAE,GAAGza,EAAE,OAAO,EAAE,CAAC,IAAI6C,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAE/C,EAAE,OAAO+C,GAAG,EAAE,CAAC,IAAIC,EAAEhD,EAAE,MAAM+C,EAAEA,EAAE,CAAC,EAAEF,EAAE,KAAKgkG,GAAG7jG,EAAE,EAAE9C,CAAC,CAAC,CAAC,CAAC,IAAI4C,EAAE+jG,GAAGhkG,EAAE,EAAE3C,CAAC,EAAE,QAAQ6C,KAAKF,EAAE3C,EAAE,8BAA8B6C,CAAC,EAAE,OAAOD,CAAC,CAAC,GAAG2X,EAAE,EAAE,QAAQ,6BAA6B,GAAGza,EAAE,GAAG,MAAM,OAAO,EAAE,CAAC,IAAI6C,EAAE,IAAI4jG,GAAGzmG,EAAE,IAAI8C,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAE,OAAO5C,EAAE,gBAAgB2C,EAAE7C,EAAEM,CAAC,CAAC,CAAC,GAAG,CAAC,UAAU,EAAE,SAAS2B,CAAC,EAAE6kG,GAAI9mG,EAAE,EAAEE,CAAC,EAAEgC,EAAE,IAAIskG,GAAG,EAAE,IAAI3jG,GAAGA,EAAE,KAAK,CAAC,EAAEV,EAAEjC,EAAE,gBAAgBgC,EAAE,EAAE5B,CAAC,EAAE,EAAE,QAAQuC,GAAG3C,EAAE,8BAA8B2C,CAAC,CAAC,EAAE,IAAID,EAAEy8F,GAAG,CAAC,OAAO,CAAC,EAAEl9F,CAAC,EAAE,MAAM,CAAC,MAAMF,CAAC,EAAE,QAAQ/B,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BiC,CAAC,EAAES,CAAC,CAAC,SAASkkG,GAAI9mG,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEk6C,EAAE,gBAAgBx6C,EAAE,IAAI+B,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAE,MAAM,CAAC,UAAU/B,EAAE,IAAI+B,GAAGs9F,GAAG,CAAC,OAAO,CAAC,EAAEt9F,CAAC,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG+kB,EAAE,cAAc/kB,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC,CAAC,EAAE,QAAQ7B,CAAC,CAAC,CAAC,EAAE,SAASI,CAAC,CAAC,CAAC,SAASymG,GAAG/mG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,KAAKO,CAAC,EAAED,EAAE,EAAEwmB,EAAE,eAAevmB,EAAE,EAAE,GAAG,KAAK,EAAE,GAAG,EAAE,EAAE,IAAI4B,GAAGA,EAAE,KAAK,EAAEq4C,EAAE,uBAAuB,EAAE,CAAC,EAAE,IAAIv4C,EAAEu4C,EAAE,gBAAgB,EAAE,IAAIr4C,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAE,GAAG2kB,EAAE,cAAc7kB,CAAC,IAAI,EAAE,OAAO/B,EAAE,eAAe+B,EAAE,EAAE,GAAG,MAAM,CAAC,CAAC,EAAE,IAAIC,EAAE,EAAE,OAAOC,GAAG2kB,EAAE,cAAc3kB,EAAE,KAAK,EAAE,CAAC,EAAE,OAAOD,EAAE,SAAS,EAAE47F,GAAG,CAAC,OAAO,CAAC,EAAE57F,EAAE,EAAE,EAAE,QAAQhC,CAAC,CAAC,EAAE2mG,GAAG3kG,EAAE,EAAEhC,CAAC,CAAC,CAAC,IAAI8mG,GAAG,CAAC,WAAWlqF,GAAG,YAAY,QAAQ,WAAWiqF,EAAE,EAAME,GAAG,KAAK,CAAC,YAAYnmG,EAAEZ,EAAE,GAAG,EAAE,KAAKK,EAAE,GAAGwB,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,YAAYjB,EAAE,SAAS,IAAIkB,EAAElB,EAAE,QAAQ,IAAImB,EAAEnB,EAAE,QAAQ,KAAKoB,EAAEpB,EAAE,aAAa,EAAEA,EAAE,YAAY8B,EAAE9B,EAAE,eAAe,EAAEA,EAAE,cAAcgC,EAAEhC,EAAE,aAAaiC,EAAEjC,EAAE,YAAYkC,EAAE,KAAK,MAAMlC,EAAE,WAAW,CAAC,EAAE,EAAEoD,EAAEpD,EAAE,WAAW,EAAEqD,EAAErD,EAAE,aAAa,eAAeyG,EAAEpD,EAAE,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEQ,EAAER,EAAE,EAAE,EAAES,EAAE,GAAGC,EAAE,GAAG,IAAItE,EAAEqE,EAAE;AAAA;AAAA,YAE7mF;AAAA,WACD7C,EAAE6C,EAAE;AAAA;AAAA,YAEH;AAAA,WACDA,EAAE;AAAA;AAAA,cAEC;AAAA;AAAA,UAEJC,EAAE,gCAAgC,IAAIC,EAAE5E,EAAE,kCAAkC,GAAGA,GAAG,KAAK,cAAc,KAAK,MAAM,EAAEK,GAAG,KAAK,cAAc,KAAK,wBAAwB,EAAEwB,GAAG,KAAK,cAAc,KAAK,gBAAgB,EAAE,KAAK,SAAS;AAAA,QACpO6C;AAAA;AAAA,oCAE4B1C,MAAM;AAAA,iCACTF,MAAMC;AAAA;AAAA;AAAA;AAAA;AAAA,0BAKb0C;AAAA;AAAA;AAAA,2BAGC4C,cAAc;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAOTzE;AAAA,qCACKF;AAAA;AAAA,gCAEL9B,EAAE;AAAA;AAAA;AAAA;AAAA,kCAIAiC;AAAA,uCACK;AAAA;AAAA,kCAELjC,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAkC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oBAQhBmB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kBAmBFD,IAAI;AAAA;AAAA,oBAEFC;AAAA;AAAA,0CAEsBnB;AAAA,mCACPA;AAAA;AAAA;AAAA,kCAGDA;AAAA,mCACCA;AAAA;AAAA;AAAA,yBAGVkB,IAAI;AAAA;AAAA,+BAEElB;AAAA,+BACAA;AAAA;AAAA;AAAA,oBAGXmB;AAAA;AAAA,wCAEoBnB;AAAA,wCACAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAKRA;AAAA,gCACAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAKPkB,IAAI;AAAA;AAAA,+BAEElB;AAAA,+BACAA;AAAA,+BACAA;AAAA;AAAA;AAAA,oBAGXmB;AAAA;AAAA,wCAEoBnB;AAAA,wCACAA;AAAA,wCACAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAKRA;AAAA,gCACAA;AAAA,gCACAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAUtB8B;AAAA,UACAD;AAAA;AAAA;AAAA,KAGL,CAAC,EAAEqiG,GAAG,KAAK,CAAC,YAAYpmG,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,YAAYA,EAAE,SAAS,IAAIZ,EAAEY,EAAE,QAAQ,MAAM,EAAEA,EAAE,QAAQ,IAAIP,EAAEO,EAAE,QAAQ,KAAKiB,EAAEjB,EAAE,YAAYkB,EAAElB,EAAE,aAAamB,EAAEnB,EAAE,YAAYoB,EAAEpB,EAAE,cAAc,EAAEA,EAAE,eAAe8B,EAAE9B,EAAE,cAAc,EAAEA,EAAE,YAAYgC,EAAEhC,EAAE,aAAaiC,EAAEjC,EAAE,YAAYkC,EAAE,KAAK,MAAMlC,EAAE,WAAW,CAAC,EAAE,EAAEoD,EAAEpD,EAAE,WAAW,EAAE,KAAK,SAAS;AAAA,oCACnUiB,MAAMC,MAAMC;AAAA,iCACf/B,MAAM,MAAMK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAgBb;AAAA,qCACK2B;AAAA;AAAA,gCAELpB,EAAE;AAAA;AAAA;AAAA;AAAA,kCAIAgC;AAAA,uCACK;AAAA;AAAA,kCAELhC,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAiC;AAAA,yCACKH;AAAA;AAAA,oCAEL9B,EAAE;AAAA;AAAA;AAAA;AAAA,sCAIAkC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oBAiBlBkB,IAAI;AAAA;AAAA,4CAEoBlB;AAAA,qCACPA;AAAA,2BACVkB,IAAI;AAAA;AAAA,4CAEalB;AAAA,4CACAA;AAAA;AAAA;AAAA,qCAGPA;AAAA,qCACAA;AAAA;AAAA;AAAA,2BAGVkB,IAAI;AAAA;AAAA,4CAEalB;AAAA,4CACAA;AAAA,4CACAA;AAAA;AAAA;AAAA,qCAGPA;AAAA,qCACAA;AAAA,qCACAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAShC,CAAC,EAAMmkG,GAAG,KAAK,CAAC,YAAYrmG,EAAEZ,EAAE,GAAG,EAAE,KAAKK,EAAE,GAAGwB,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,eAAe,CAAC,CAAC,KAAK,OAAO,KAAK,OAAO,EAAE,CAAC,KAAK,UAAU,KAAK,OAAO,EAAE,CAAC,KAAK,YAAY,KAAK,OAAO,EAAE,CAAC,KAAK,SAAS,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYjB,EAAE,SAAS,KAAK,oBAAoBk1F,GAAG,KAAK,YAAY,MAAM,EAAE,IAAIh0F,EAAElB,EAAE,QAAQ,KAAKmB,EAAEnB,EAAE,YAAYoB,EAAEpB,EAAE,cAAc,EAAEA,EAAE,aAAa8B,EAAE9B,EAAE,YAAY,EAAE8B,EAAEE,EAAE;AAAA;AAAA,gDAE5Y,QAAQqB,EAAE,EAAEA,EAAEvB,EAAEuB,IAAIrB,GAAG;AAAA,yBAC9CqB,EAAE;AAAA,wBACHA,EAAE;AAAA,yBACDA,EAAE,EAAE;AAAA,wBACLA,EAAE,EAAE;AAAA,oBACRA,KAAKrB,GAAG;AAAA,2BACD;AAAA,8BACGhC,EAAE;AAAA,SACvB,QAAQqD,EAAE,EAAEA,EAAEvB,EAAEuB,IAAIrB,GAAG;AAAA,oBACZqB,EAAE;AAAA,oBACFA,EAAE;AAAA,oBACFA,EAAE,EAAE;AAAA,oBACJA,EAAE,EAAE;AAAA,eACTA,iBAAiBrB,GAAG;AAAA;AAAA;AAAA,SAG1B,QAAQqB,EAAE,EAAEA,GAAG,EAAE,GAAG,EAAEA,IAAI,CAAC,IAAIoD,EAAEpD,EAAE,EAAE,GAAGrB,GAAG;AAAA,6BACvByE,EAAErF;AAAA,aAClBD,IAAI,GAAG,GAAGsF,EAAE3E,IAAIZ,EAAE,IAAI,GAAGc,GAAG;AAAA;AAAA,uEAE8ByE;AAAA,4BAC3CA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAKEA;AAAA;AAAA,4BAEFA;AAAA;AAAA,iBAEXrF,IAAI,GAAGqF,EAAE,EAAEzE,GAAG;AAAA,qBACVyE,mBAAmBA,EAAE,gBAAgBA;AAAA,mBACvCzE,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAYGyE,gCAAgCA;AAAA;AAAA,yBAEhCA,6BAA6BA;AAAA;AAAA,sBAEhCzE,GAAG;AAAA,2DACkCyE;AAAA,4BAC/BA;AAAA;AAAA,8BAEEA;AAAA;AAAA,4BAEFA;AAAA;AAAA;AAAA,qBAGPA,cAAcA;AAAA,mBAChBA,EAAE,EAAE3E,GAAG,CAAC,IAAI,EAAEZ,EAAE,IAAI,EAAE8kB,EAAE,kBAAkB5kB,CAAC,EAAEA,EAAEA,EAAE,IAAI,GAAGF,EAAE,IAAI,GAAGE,EAAE,IAAI,GAAGF,EAAE,IAAI,GAAGc,GAAG;AAAA,wDACjD;AAAA;AAAA,yEAEiByE,EAAE;AAAA,8BAC7CA,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,gCAKAA,EAAE;AAAA;AAAA,8BAEJA,EAAE;AAAA;AAAA,qBAEXrF,EAAE,EAAEY,GAAG;AAAA;AAAA;AAAA;AAAA,0BAIFyE,EAAE,gCAAgCA,EAAE;AAAA;AAAA,0BAEpCA,EAAE,6BAA6BA,EAAE;AAAA;AAAA,uBAEpCzE,GAAG;AAAA,yBACDyE,EAAE,mBAAmBA,gBAAgBA,EAAE;AAAA,wBACxC,IAAI,EAAEzE,GAAG;AAAA,yBACRyE,EAAE,cAAcA;AAAA,uBAClBzE,GAAG;AAAA,uCACa;AAAA;AAAA,2EAEoCyE,EAAE;AAAA,gCAC7CA,EAAE;AAAA;AAAA,kCAEAA,EAAE;AAAA;AAAA,gCAEJA,EAAE;AAAA;AAAA;AAAA,yBAGTA,EAAE,cAAcA,EAAE;AAAA,sBACrB,OAAOA,EAAE3E,IAAIZ,EAAE,IAAI,GAAGc,GAAG;AAAA;AAAA,sEAEuByE;AAAA,4BAC1CA;AAAA;AAAA;AAAA;AAAA,8BAIEA;AAAA;AAAA,4BAEFA;AAAA;AAAA;AAAA,kEAGsCA,EAAE;AAAA,4BACxCA,EAAE;AAAA;AAAA;AAAA;AAAA,8BAIAA,EAAE;AAAA;AAAA,4BAEJA,EAAE;AAAA;AAAA;AAAA,qBAGTA,mBAAmBA,gBAAgBA,EAAE;AAAA,iBACzCA,EAAE,EAAE3E,IAAIE,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,uBAMLyE,EAAE,mBAAmBA,EAAE;AAAA,sBACxBzE,GAAG;AAAA,0DACiCyE;AAAA,4BAC9BA;AAAA;AAAA,8BAEEA;AAAA;AAAA,4BAEFA;AAAA;AAAA;AAAA;AAAA,sEAI0CA,EAAE;AAAA,4BAC5CA,EAAE;AAAA;AAAA,8BAEAA,EAAE;AAAA;AAAA,4BAEJA,EAAE;AAAA;AAAA;AAAA,qBAGTA;AAAA,4BACOA,gBAAgBA,EAAE;AAAA,iBAC7BA,EAAE,EAAE3E,IAAIE,GAAG;AAAA,uBACLyE,EAAE,mBAAmBA,gBAAgBA,EAAE;AAAA,sBACxCA,EAAE3E,IAAIE,GAAG;AAAA,gCACCyE;AAAA,4BACJA;AAAA,2BACDzG,EAAE;AAAA,8BACCyG;AAAA;AAAA,aAEjBA,EAAE,EAAE3E,IAAIE,GAAG;AAAA,kCACUyE,EAAE;AAAA,8BACNA,EAAE;AAAA,6BACHzG,EAAE;AAAA,gCACCyG,EAAE;AAAA;AAAA,gBAElB,CAACzE,GAAG;AAAA;AAAA,KAEfA,GAAG;AAAA;AAAA,KAEHA,GAAG;AAAA;AAAA,KAEH,IAAIC,EAAE,GAAGC,EAAE,GAAG,IAAIzC,EAAEwC,EAAE;AAAA;AAAA,aAEd;AAAA,YACDhB,EAAEgB,EAAE;AAAA;AAAA,aAEH;AAAA,YACDA,EAAE;AAAA,aACD;AAAA,YACDC,EAAE,gCAAgC,IAAIkB,EAAEhE,EAAE,kCAAkC,GAAGA,GAAG,KAAK,cAAc,KAAK,MAAM,EAAEK,GAAG,KAAK,cAAc,KAAK,wBAAwB,EAAEwB,GAAG,KAAK,cAAc,KAAK,gBAAgB,EAAE,KAAK,SAAS;AAAA,SACrOgB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,WAaED;AAAA;AAAA;AAAA,WAGAoB;AAAA,WACAlB;AAAA;AAAA;AAAA,MAGL,CAAC,EAAMokG,GAAG,KAAK,CAAC,YAAYtmG,EAAEZ,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,eAAe,CAAC,CAAC,KAAK,aAAa,KAAK,OAAO,EAAE,CAAC,KAAK,MAAM,KAAK,OAAO,EAAE,CAAC,KAAK,SAAS,KAAK,OAAO,EAAE,CAAC,KAAK,WAAW,KAAK,OAAO,EAAE,CAAC,KAAK,aAAa,KAAK,KAAK,EAAE,CAAC,KAAK,mBAAmB,KAAK,KAAK,EAAE,CAAC,KAAK,WAAW,KAAK,KAAK,CAAC,EAAE,KAAK,YAAYY,EAAE,KAAK,oBAAoBk1F,GAAG,KAAK,YAAY,MAAM,EAAE,GAAG,CAAC,WAAW,CAAC,EAAE91F,EAAEK,EAAE8xF,GAAG,EAAEtwF,EAAE,IAAI,eAAeC,EAAED,EAAE,EAAE,EAAEE,EAAEF,EAAE,EAAE,EAAEG,EAAE,KAAK,oBAAoB,sDAAsD,mBAAmBpB,EAAE,eAAeA,EAAE,QAAQ,EAAE,GAAG,QAAQ8B,EAAE,EAAEA,GAAG,EAAEA,IAAI,QAAQ,EAAE,EAAE,GAAG,EAAE,IAAI,GAAG;AAAA,gCACjnB;AAAA,yBACPA;AAAA;AAAA,YAEbV;AAAA;AAAA;AAAA;AAAA,iCAIqBF;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCAQEC;AAAA;AAAA;AAAA;AAAA,sBAIbF;AAAA;AAAA,2BAEKa,EAAE,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,2BAKJA,EAAE,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAOrB,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UASd;AAAA;AAAA,UAEArC,EAAE;AAAA;AAAA,KAEP,CAAC,EAAE,SAAS8mG,GAAGrnG,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,OAAO,OAAOE,GAAG,EAAE,EAAE,CAAC,GAAGF,EAAE,MAAM,EAAE,EAAE,EAAEA,EAAEE,EAAE,GAAGF,EAAEE,EAAE,GAAGF,EAAEE,EAAE,EAAE,EAAE,CAAC,GAAGF,EAAE,MAAM,EAAE,EAAE,EAAEA,EAAEE,EAAE,GAAGF,EAAEE,EAAE,GAAGF,EAAEE,EAAE,EAAE,EAAE,CAAC,GAAGA,IAAI,GAAGF,EAAE,GAAG,EAAE,CAACA,EAAE,GAAG,CAAC,EAAE,IAAI,CAAC,SAASsnG,GAAG,CAAC,EAAEtnG,EAAE,OAAO,EAAE,SAASE,EAAE,QAAQI,EAAE,KAAKC,EAAE,KAAK,uBAAuB,EAAE,KAAK,eAAe,EAAE,EAAE,WAAW0B,EAAE,IAAI,EAAE,CAAC,IAAIC,EAAElC,EAAE,MAAMmC,EAAE7B,EAAE,QAAQ,IAAIN,EAAE,MAAM,EAAE4C,EAAE1C,EAAE,WAAW2C,EAAEX,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAGY,EAAE5C,EAAE,YAAY6C,EAAE7C,EAAE,aAAa,eAAe8C,EAAE,GAAGkB,EAAE,GAAG,EAAEqD,EAAE,CAAC,EAAE,GAAG,GAAG,KAAK,CAAC,IAAI3C,EAAEyiG,GAAG,EAAE,MAAMtkG,CAAC,EAAE6B,GAAG,OAAO,EAAEy6F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ/+F,EAAE,MAAM,CAAC,MAAMsE,CAAC,CAAC,CAAC,EAAE2C,EAAE,KAAK,CAAC,EAAE,CAAC,GAAGhH,GAAG,KAAK,CAAC,IAAIqE,EAAEyiG,GAAG9mG,EAAE,MAAMwC,CAAC,EAAE6B,GAAG,OAAOrE,EAAE8+F,GAAG,CAAC,OAAO,CAAC,EAAE9+F,CAAC,EAAE,QAAQD,EAAE,MAAM,CAAC,MAAMsE,CAAC,CAAC,CAAC,EAAE2C,EAAE,KAAKhH,CAAC,EAAE,CAAC,GAAG,GAAGsC,IAAI,GAAGC,IAAI,IAAIF,EAAEw9F,KAAKj+F,EAAE,UAAUY,GAAGZ,EAAE,SAAS,MAAMD,EAAE,GAAG,IAAI,GAAG4kB,EAAE,YAAY3kB,EAAE,MAAM,MAAM,EAAE,EAAED,EAAE,MAAM,EAAE,CAAC,EAAE,CAAC,IAAI0C,EAAE1C,EAAE,GAAGA,EAAE,IAAIA,EAAE,GAAG,GAAG2C,EAAE,CAAC,OAAO7E,EAAE,OAAO,MAAM,CAAC,EAAE4E,EAAE1E,EAAE,UAAU,EAAE,MAAMF,EAAE,KAAK,EAAE8E,EAAE3C,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,MAAM,EAAEA,EAAE,MAAMA,EAAE,MAAM,OAAO,KAAK2kB,EAAE,OAAOgpE,GAAG3tF,EAAE,MAAM0C,EAAE,KAAK,EAAE,IAAI,kBAAkB1C,EAAE,YAAY0C,EAAE,kBAAkB,EAAE,IAAI2C,EAAE63F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ/+F,EAAE,MAAM,CAAC,MAAM,CAAC,EAAEJ,EAAE,WAAWA,EAAE,WAAW,CAAC,CAAC,CAAC,EAAEqH,EAAE,KAAKC,CAAC,EAAE,IAAIxC,EAAEq7F,GAAG,CAAC,EAAEx7F,EAAE,EAAE2C,EAAE,QAAQlH,EAAE,WAAW0C,EAAE,WAAWkB,EAAE,KAAK3D,EAAE,WAAW0B,EAAE,uBAAuB,EAAE,eAAe,CAAC,CAAC,EAAEwF,EAAEnH,EAAE,QAAQ,IAAI0E,EAAE,MAAM,EAAE8hB,EAAE,OAAOrf,EAAE,SAAS,IAAI,6CAA6C,EAAEtF,EAAE,MAAM2C,EAAE2C,EAAE,MAAMvH,EAAE,SAAS,EAAE49F,GAAG,CAAC,OAAO,CAAC,EAAE94F,CAAC,EAAE,QAAQ1E,CAAC,CAAC,EAAE,EAAE,MAAMJ,EAAE,SAASqH,EAAE,KAAKvC,CAAC,CAAC,KAAK,CAAC,IAAIJ,EAAE1E,EAAE,UAAUA,EAAE,SAAS2E,EAAEw6F,GAAG,CAAC,OAAO,CAAC,EAAEr/F,CAAC,EAAE,QAAQM,EAAE,MAAM,CAAC,MAAMyC,EAAE,CAAC7C,EAAE,UAAU0E,EAAE1E,EAAE,UAAU,EAAE,CAACA,EAAE,UAAUA,EAAE,WAAW0E,CAAC,CAAC,CAAC,CAAC,EAAEE,EAAEu6F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ/+F,EAAE,MAAM,CAAC,MAAM,CAAC,EAAEJ,EAAE,WAAWA,EAAE,WAAW,CAAC,CAAC,CAAC,EAAEsH,EAAE64F,GAAG,CAAC,EAAEt9F,EAAE8B,EAAEC,EAAE,EAAE/B,EAAE+B,EAAED,EAAE,WAAW,CAAC9B,EAAE,WAAWmB,EAAE,QAAQ5D,EAAE,KAAKC,EAAE,WAAW0B,EAAE,uBAAuB,EAAE,eAAe,CAAC,CAAC,EAAE,EAAEo9F,GAAG,CAAC,OAAO,CAAC,EAAE73F,CAAC,EAAE,QAAQlH,EAAE,MAAM,CAAC,MAAMJ,EAAE,QAAQ,CAAC,CAAC,EAAEqH,EAAE,KAAK1C,CAAC,EAAE0C,EAAE,KAAKzC,CAAC,EAAEyC,EAAE,KAAKC,CAAC,CAAC,CAAC,QAAQ5C,KAAK2C,EAAEjH,EAAE,8BAA8BsE,CAAC,EAAE,OAAO,CAAC,CAAC,SAAS2iG,GAAG,CAAC,EAAEvnG,EAAE,OAAO,EAAE,SAASE,EAAE,QAAQI,EAAE,KAAKC,EAAE,KAAK,uBAAuB,EAAE,KAAK,eAAe,EAAE,EAAE,WAAW0B,EAAE,IAAI,EAAE,CAAC,GAAG,CAAC,YAAYC,EAAE,aAAaC,EAAE,WAAWS,EAAE,SAASC,EAAE,UAAUC,EAAE,WAAWC,CAAC,EAAE7C,EAAE8C,EAAED,IAAI,eAAemB,EAAEhC,EAAEC,EAAES,EAAE,EAAEE,EAAED,EAAE0E,EAAE,CAACrH,EAAE,UAAUgE,EAAE,CAAC,EAAEa,EAAE,GAAGJ,EAAE,GAAGC,EAAE,CAAC,EAAE,GAAG,GAAG,KAAK,CAAC,IAAIsD,EAAEm/F,GAAG,EAAE,MAAMrkG,CAAC,EAAEkF,GAAG,OAAO,EAAEm3F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ/+F,EAAE,MAAM,CAAC,MAAM4H,CAAC,CAAC,CAAC,EAAEtD,EAAE,KAAK,CAAC,EAAE,CAAC,GAAGrE,GAAG,KAAK,CAAC,IAAI2H,EAAEm/F,GAAG9mG,EAAE,MAAMyC,CAAC,EAAEkF,GAAG,OAAO3H,EAAE8+F,GAAG,CAAC,OAAO,CAAC,EAAE9+F,CAAC,EAAE,QAAQD,EAAE,MAAM,CAAC,MAAM4H,CAAC,CAAC,CAAC,EAAEtD,EAAE,KAAKrE,CAAC,EAAE,CAAC,IAAIsE,EAAEw6F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ/+F,EAAE,MAAM,CAAC,MAAM,CAAC,EAAE4D,EAAE4iB,EAAE,cAAc,EAAE,KAAK,EAAE5iB,CAAC,CAAC,CAAC,CAAC,EAAEU,EAAE,KAAKC,CAAC,EAAE,IAAIC,EAAE,IAAIsiG,GAAG7/F,EAAErH,CAAC,EAAEsH,EAAE,CAACxH,EAAE,MAAM,CAACE,EAAE,QAAQ,IAAIA,EAAE,QAAQ,IAAI,EAAE,CAACA,EAAE,aAAaA,EAAE,WAAW,EAAE,CAACA,EAAE,eAAeA,EAAE,aAAa,EAAE,CAACA,EAAE,UAAU,EAAE,CAACA,EAAE,YAAYA,EAAE,UAAU,EAAE,CAACA,EAAE,QAAQ,CAAC,EAAE8E,EAAE1E,EAAE,gBAAgBwE,EAAE,CAAC9E,CAAC,EAAE,UAAUwH,CAAC,EAAEC,EAAE43F,GAAG,CAAC,OAAO,CAAC,EAAEr6F,CAAC,EAAE,QAAQ1E,EAAE,MAAM,CAAC,MAAMiH,CAAC,CAAC,CAAC,EAAE3C,EAAE,KAAKI,CAAC,EAAEJ,EAAE,KAAK6C,CAAC,EAAE,IAAIxC,EAAE1E,GAAG,KAAK2E,EAAE,GAAG,KAAKC,EAAElD,IAAI,YAAYmD,EAAEnD,EAAE48F,GAAG58F,EAAE,EAAE,EAAE,KAAKoD,EAAE,IAAIy5F,GAAG97F,EAAEyE,EAAE,MAAM5C,EAAE,MAAM7B,EAAE6B,EAAE,MAAM4C,EAAE,MAAMzE,EAAE,CAAC9C,EAAE,UAAU,EAAEA,EAAE,WAAW,EAAE,CAACA,EAAE,UAAUA,EAAE,YAAY,CAAC,EAAE6E,EAAEJ,EAAEM,EAAEG,EAAEF,EAAEC,CAAC,EAAEG,EAAEtC,EAAE,CAACyE,EAAE5C,CAAC,EAAE,CAACA,EAAE4C,CAAC,EAAE,GAAGlH,GAAG+E,EAAE,KAAK/E,CAAC,EAAE2E,GAAGI,EAAE,KAAK,CAAC,EAAEH,EAAE,CAAC,IAAI+C,EAAE5H,EAAE,eAAe,CAAC,EAAE,UAAUwmB,EAAE,kBAAkB,EAAE,SAAS,CAAC,EAAExhB,EAAE,KAAK4C,CAAC,EAAEtD,EAAE,KAAKsD,CAAC,CAAC,CAAC,IAAID,EAAE3H,EAAE,gBAAgB+E,EAAEC,EAAE,SAAS,EAAEqC,EAAE03F,GAAG,CAAC,OAAO,CAAC,EAAEp3F,CAAC,EAAE,QAAQ3H,EAAE,MAAM,CAAC,MAAMJ,EAAE,QAAQ,CAAC,CAAC,EAAE0E,EAAE,KAAKqD,CAAC,EAAE,QAAQC,KAAKtD,EAAEtE,EAAE,8BAA8B4H,CAAC,EAAE,OAAOP,CAAC,CAAC,SAAS6/F,GAAIxnG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,WAAWC,EAAE,UAAUC,EAAE,gBAAgBS,CAAC,EAAEtC,EAAEuC,EAAE23C,EAAE,wBAAwBt4C,CAAC,EAAEY,EAAE03C,EAAE,kBAAkBj6C,EAAE,MAAM,EAAE,MAAM,EAAE4B,EAAEF,EAAEW,EAAE,GAAGC,CAAC,EAAEE,EAAE,GAAGD,EAAE,eAAe,GAAGA,EAAE,cAAc,GAAGA,EAAE,iBAAiB,GAAGA,EAAE,gBAAgB,GAAGA,EAAE,eAAe,GAAGA,EAAE,cAAc,IAAIA,EAAE,QAAQ,OAAO,QAAQA,EAAE,QAAQ,OAAO,SAASC,EAAEukG,GAAG,CAAC,EAAE/mG,EAAE,OAAO,EAAE,SAASuC,EAAE,QAAQ5C,CAAC,CAAC,UAAU4C,EAAE,aAAa,GAAGD,IAAI,gBAAgB4X,EAAE,EAAE,QAAQ,gBAAgB,EAAE,CAAC,IAAIvW,EAAE,IAAIijG,GAAGrkG,CAAC,EAAE,EAAE,CAAC,CAACA,EAAE,QAAQ,IAAIA,EAAE,QAAQ,IAAI,EAAE,CAACA,EAAE,aAAaA,EAAE,WAAW,EAAE,CAACA,EAAE,eAAeA,EAAE,aAAa,EAAE,CAACA,EAAE,SAASA,EAAE,OAAO,CAAC,EAAEC,EAAE7C,EAAE,gBAAgBgE,EAAE,CAAC3D,EAAE,CAAC,EAAE,UAAU,CAAC,CAAC,SAASka,EAAE,EAAE,QAAQ,mBAAmB,EAAE1X,EAAEwkG,GAAG,CAAC,EAAEhnG,EAAE,OAAO,EAAE,SAASuC,EAAE,QAAQ5C,CAAC,CAAC,MAAM,CAAC,IAAIgE,EAAE,IAAI+iG,GAAGnkG,CAAC,EAAEC,EAAE7C,EAAE,gBAAgBgE,EAAE,CAAC3D,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIyC,EAAEq8F,GAAG,CAAC,OAAO,CAAC,EAAEt8F,CAAC,EAAE,QAAQ7C,EAAE,MAAM,CAAC,MAAM4C,EAAE,QAAQ,CAAC,CAAC,EAAE,OAAO5C,EAAE,8BAA8B6C,CAAC,EAAEC,CAAC,CAAC,IAAIykG,GAAG,CAAC,WAAW1qF,GAAG,YAAY,QAAQ,WAAWyqF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAY5mG,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,IAAI,EAAE,KAAK,YAAYA,EAAE,YAAY,IAAIZ,EAAEY,EAAE,aAAa,EAAEA,EAAE,YAAYP,EAAEO,EAAE,QAAQ,IAAIiB,EAAEjB,EAAE,QAAQ,KAAKkB,EAAElB,EAAE,aAAa,eAAe,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAYzxIA,EAAE;AAAA,kCACEA,EAAE;AAAA,iCACHZ,OAAOK;AAAA;AAAA,kCAENO,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAA,EAAE;AAAA,mCACH,OAAOiB;AAAA;AAAA,oCAENjB,EAAE;AAAA;AAAA;AAAA;AAAA,oBAIlBkB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAef,CAAC,EAAE2lG,GAAG,KAAK,CAAC,YAAY7mG,EAAE,CAAC,KAAK,cAAc,CAAC,KAAK,GAAG,EAAE,KAAK,YAAYA,EAAE,QAAQ,IAAIZ,EAAEY,EAAE,aAAa,EAAEA,EAAE,YAAYP,EAAEO,EAAE,aAAaiB,EAAEjB,EAAE,YAAYkB,EAAElB,EAAE,aAAa,eAAemB,EAAE/B,EAAE,EAAEY,EAAE,QAAQ,IAAIoB,EAAE,EAAE,EAAEpB,EAAE,QAAQ,KAAK,EAAEkB,EAAE,EAAE,EAAEY,EAAEZ,EAAE,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAE,KAAK,SAAS;AAAA,iCAC7OC,MAAMC;AAAA;AAAA;AAAA;AAAA;AAAA,0BAKb;AAAA;AAAA,wCAEc,cAAcU;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAOtB1C;AAAA,gDACgBK;AAAA;AAAA,oCAEZO,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,yBAKbZ;AAAA;AAAA,kCAES;AAAA,kDACgB6B;AAAA;AAAA,sCAEZjB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAMb;AAAA;AAAA,oCAESA,EAAE;AAAA;AAAA,oBAElBkB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAef,CAAC,EAAE4lG,GAAG,KAAK,CAAC,YAAY9mG,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,IAAI,EAAE,KAAK,YAAYA,EAAE,YAAY,IAAIZ,EAAEY,EAAE,YAAY,EAAEA,EAAE,aAAaP,EAAEO,EAAE,YAAYiB,EAAEjB,EAAE,QAAQ,MAAMkB,EAAElB,EAAE,QAAQ,IAAImB,EAAEnB,EAAE,QAAQ,KAAK,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAWrLA,EAAE;AAAA,kCACEA,EAAE;AAAA,iCACHZ,OAAO6B;AAAA;AAAA,kCAENjB,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAA,EAAE;AAAA,mCACH,OAAOkB;AAAA;AAAA,oCAENlB,EAAE;AAAA;AAAA;AAAA;AAAA,sCAIAA,EAAE;AAAA,qCACHP,OAAO0B;AAAA;AAAA,sCAENnB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAanC,CAAC,EAAE+mG,GAAG,KAAK,CAAC,YAAY/mG,EAAE,CAAC,KAAK,cAAc,CAAC,KAAK,GAAG,EAAE,KAAK,YAAYA,EAAE,QAAQ,IAAIZ,EAAEY,EAAE,YAAY,EAAEA,EAAE,aAAaP,EAAEO,EAAE,YAAYiB,EAAEjB,EAAE,YAAYkB,EAAElB,EAAE,aAAamB,EAAEnB,EAAE,YAAYoB,EAAEhC,EAAE,EAAEY,EAAE,QAAQ,MAAM,EAAE,EAAE,EAAEA,EAAE,QAAQ,IAAI8B,EAAErC,EAAE,EAAEO,EAAE,QAAQ,KAAK,KAAK,SAAS;AAAA,iCAC3OoB,MAAM,MAAMU;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAcb1C;AAAA,gDACgB6B;AAAA;AAAA,oCAEZjB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,yBAKbZ;AAAA;AAAA,kCAES;AAAA,kDACgB8B;AAAA;AAAA,sCAEZlB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAMb;AAAA;AAAA,oCAESP;AAAA,oDACgB0B;AAAA;AAAA,wCAEZnB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,6BAMbP;AAAA;AAAA,sCAESO,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAUnC,CAAC,EAAE,SAASgnG,GAAI9nG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,WAAWC,EAAE,gBAAgBC,EAAE,YAAYS,CAAC,EAAEtC,EAAEuC,EAAE23C,EAAE,wBAAwBt4C,CAAC,EAAEY,EAAE03C,EAAE,kBAAkBj6C,EAAE,MAAMqC,EAAE,EAAE,EAAEX,EAAEE,EAAE,GAAGU,CAAC,EAAEE,EAAE,IAAI2kG,GAAG5kG,CAAC,EAAE,OAAO5C,EAAE,gBAAgB6C,EAAE,CAACxC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIwnG,GAAG,CAAC,WAAW/qF,GAAG,YAAY,QAAQ,WAAW8qF,EAAG,EAAE,SAASE,GAAIhoG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ0B,EAAE,IAAIC,EAAE,WAAWC,EAAE,gBAAgBS,CAAC,EAAEtC,EAAEuC,EAAE23C,EAAE,wBAAwBr4C,CAAC,EAAEW,EAAE03C,EAAE,kBAAkB,EAAE,EAAE,MAAMv4C,EAAE,EAAEC,EAAEU,EAAE,GAAGC,CAAC,EAAEE,EAAE,IAAI4kG,GAAG7kG,CAAC,EAAE,OAAO5C,EAAE,gBAAgB6C,EAAE,CAACxC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAI0nG,GAAG,CAAC,WAAWhrF,GAAG,YAAY,QAAQ,WAAW+qF,EAAG,EAAE,SAASE,GAAIloG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,UAAUC,CAAC,EAAE5B,EAAE6B,EAAEq4C,EAAE,kBAAkBj6C,EAAE,MAAM,EAAE,MAAM,EAAE2B,EAAED,CAAC,EAAEW,EAAE,IAAIskG,GAAG/kG,CAAC,EAAE,OAAOjC,EAAE,gBAAgB0C,EAAE,CAACrC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAI4nG,GAAG,CAAC,WAAWjrF,GAAG,YAAY,QAAQ,WAAWgrF,EAAG,EAAE,SAASE,GAAIpoG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,YAAYC,CAAC,EAAE5B,EAAE6B,EAAEq4C,EAAE,kBAAkBj6C,EAAE,MAAM2B,EAAE,EAAE,EAAED,CAAC,EAAEW,EAAE,IAAIglG,GAAGzlG,CAAC,EAAE,OAAOjC,EAAE,gBAAgB0C,EAAE,CAACrC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAI8nG,GAAG,CAAC,WAAWlrF,GAAG,YAAY,QAAQ,WAAWirF,EAAG,EAAE,SAASE,GAAItoG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,IAAI,EAAE,QAAQ0B,EAAE,WAAWC,CAAC,EAAE5B,EAAE6B,EAAEq4C,EAAE,kBAAkBt4C,EAAE,EAAE,MAAMD,EAAE,EAAE,CAAC,EAAEW,EAAE,IAAIilG,GAAG1lG,CAAC,EAAE,OAAOjC,EAAE,gBAAgB0C,EAAE,CAACrC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIgoG,GAAG,CAAC,WAAWnrF,GAAG,YAAY,QAAQ,WAAWkrF,EAAG,EAAME,GAAI9J,GAAG;AAAA;AAAA,EAE74C+J,GAAI9J,GAAG,CAAC,UAAU6J,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAWrrF,GAAG,YAAY,QAAQ,WAAWorF,EAAG,EAAME,GAAI;AAAA;AAAA;AAAA,EAGtFC,GAAIjK,GAAG,CAAC,UAAUgK,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAWvrF,GAAG,YAAY,QAAQ,WAAWsrF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYhoG,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,QAAQ,QAAQ,QAAQ,EAAE,KAAK,YAAY,CAAC,EAAE,GAAG,CAACC,EAAEC,EAAEC,EAAE,CAAC,EAAEpB,EAAE,CAAC8B,CAAC,EAAE1C,EAAE,CAAC,EAAE4C,CAAC,EAAE,EAAE,KAAK,YAAY,CAACF,EAAE,EAAEE,EAAE,CAAC,EAAE,IAAIC,EAAExC,IAAI,WAAW,EAAE,EAAE,CAACyC,EAAEkB,CAAC,EAAE,CAAC,GAAGjC,EAAE,MAAM,GAAGC,EAAE,KAAK,EAAE,CAACiC,EAAEoD,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,IAAItF,EAAE,IAAI,EAAE,KAAK,yBAAyB,MAAMe,6BAA6B,EAAE,CAAC,MAAM,MAAM,mBAAmBA,GAAG,EAAE,CAAC2B,EAAEC,EAAEC,CAAC,EAAE/B,EAAE,EAAE,CAAC,IAAIZ,EAAE,IAAIY,EAAE,KAAK,wBAAwB,MAAMoB,4BAA4B,EAAE,CAAC,MAAM,MAAM,mBAAmBA,GAAG,EAAE,KAAK,SAAS;AAAA,yCAC1gBC;AAAA,wCACDQ;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,iCAgBP3C;AAAA;AAAA;AAAA;AAAA,+BAIFuF;AAAA,8BACD3C;AAAA;AAAA,uBAEP;AAAA,mCACY5B;AAAA,4BACPjB;AAAA;AAAA;AAAA,uBAGL8C;AAAA,mCACYX;AAAA,4BACPnC;AAAA;AAAA;AAAA;AAAA;AAAA,aAKfgB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAwBR,CAAC,EAAMgmG,GAAI/oG,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,SAAS0B,EAAE,OAAOC,EAAE,mBAAmBC,CAAC,EAAE7B,EAAEsC,EAAE,IAAIkmG,GAAGvoG,EAAE,MAAM,EAAE,MAAM0B,EAAEC,EAAEC,CAAC,EAAE,OAAOjC,EAAE,gBAAgB0C,EAAE,CAACrC,EAAE,EAAE,CAAC,EAAE,SAAS,CAAC,EAAEyoG,GAAG,CAAC,WAAWvrF,GAAG,YAAY,QAAQ,WAAWsrF,EAAG,EAAME,IAAI,SAASjpG,EAAE,CAACA,EAAE,KAAK,IAAIA,EAAE,IAAI,GAAG,GAAGipG,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,KAAK,CAAC,YAAYpoG,EAAEZ,EAAE,EAAEK,EAAE,CAAC,KAAK,GAAGO,EAAE,KAAK,YAAYZ,EAAE,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,QAAQ,KAAK,OAAO,CAAC,EAAE,IAAI6B,EAAE,KAAK,YAAY,OAAOC,EAAE,KAAK,KAAKinG,GAAG,KAAK,MAAM,MAAMhnG,EAAE,EAAED,EAAE,QAAQmnG,GAAGpnG,EAAE,SAAS,KAAK,EAAE,KAAKG,EAAE,KAAK,YAAY,KAAK,YAAY,OAAO,GAAG,EAAE,GAAGU,EAAE,GAAG,GAAG,EAAErC,EAAE,UAAU2B,EAAE,IAAI,WAAWU,EAAErC,EAAE,UAAU,YAAY,EAAEA,EAAE,gBAAgB2B,IAAI,cAAcU,EAAErC,EAAE,aAAa,cAAc,KAAK,SAAS;AAAA;AAAA,UAE1uBm1F,GAAG3zF,CAAC;AAAA,oBACMqnG,GAAGrnG,EAAE,SAAS,KAAK,EAAE;AAAA,sBACnBE;AAAA;AAAA,cAER;AAAA,sBACQW;AAAA,YACVwmG,GAAGrnG,EAAE,SAAS,KAAK,EAAE;AAAA,gBACjB,KAAK,YAAYonG,GAAGpnG,EAAE,SAAS,KAAK,EAAE;AAAA;AAAA;AAAA;AAAA,KAIjD,CAAC,EAAE,SAASonG,GAAGnpG,EAAE,EAAEE,EAAE,CAAC,GAAGF,IAAI,EAAE,MAAM,GAAG,IAAI,GAAGA,IAAI,EAAE,MAAM,GAAG,QAAQ,MAAM,GAAGA,IAAI,EAAE,MAAM,GAAG,QAAQ,QAAQ,MAAM,GAAGA,IAAI,EAAE,MAAM,GAAG,QAAQ,QAAQ,QAAQ,MAAM,MAAM,IAAI,MAAM,cAAcE,cAAcF,wBAAwB,CAAC,CAAC,SAASopG,GAAGppG,EAAE,EAAEE,EAAE,CAAC,GAAGF,IAAI,EAAE,MAAM,GAAG,IAAI,GAAGA,IAAI,EAAE,MAAM,GAAG,MAAM,GAAGA,IAAI,EAAE,MAAM,GAAG,MAAM,GAAGA,IAAI,EAAE,MAAM,GAAG,MAAM,MAAM,IAAI,MAAM,cAAcE,cAAcF,wBAAwB,CAAC,CAAC,SAASqpG,GAAGrpG,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAE,EAAE,MAAM,OAAO0B,EAAEu4C,EAAE,mBAAmB,CAACl6C,CAAC,EAAE,CAAC,EAAE4B,EAAE,EAAED,GAAG,OAAOC,EAAEg+F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQhgG,EAAE,MAAM,CAAC,KAAK+B,CAAC,CAAC,CAAC,GAAG,IAAIE,EAAEq4C,EAAE,iBAAiB,EAAE,CAAC,EAAE,GAAG,GAAGr4C,IAAI,EAAE,EAAE,MAAM,IAAI,MAAM,mDAAmD,EAAE,MAAM,OAAO,kBAAkB7B,GAAG,EAAE,IAAIsC,EAAEV,EAAE,MAAMC,GAAGU,EAAEi7F,GAAG,CAAC,OAAO,CAAC,EAAE57F,CAAC,EAAE,QAAQhC,CAAC,CAAC,EAAE,QAAQ4C,EAAE,EAAEA,GAAG,KAAK,KAAK,KAAK,KAAKF,CAAC,CAAC,EAAE,EAAEE,IAAI,CAAC,IAAIC,EAAE,IAAImmG,GAAGlpG,EAAEkC,EAAE,MAAM,GAAG,CAAC,EAAEc,EAAE,CAAC,CAACF,CAAC,CAAC,EAAEoB,EAAErB,EAAEA,EAAE3C,EAAE,gBAAgB6C,EAAE,CAACF,CAAC,EAAEA,EAAE,MAAMG,CAAC,EAAE9C,EAAE,8BAA8BgE,CAAC,CAAC,CAAC,GAAG3D,EAAE,CAAC,IAAIuC,EAAE,IAAIomG,GAAGlpG,EAAEkC,EAAE,MAAM3B,EAAE,CAAC,EAAEwC,EAAEF,EAAEA,EAAE3C,EAAE,gBAAgB4C,EAAE,CAACD,CAAC,EAAEA,EAAE,KAAK,EAAE3C,EAAE,8BAA8B6C,CAAC,CAAC,CAAC,GAAGd,GAAG,KAAK,CAAC,IAAIa,EAAE03C,EAAE,uBAAuBv4C,CAAC,EAAEc,EAAEm9F,GAAG,CAAC,OAAO,CAAC,EAAEr9F,CAAC,EAAE,QAAQ3C,EAAE,MAAM,CAAC,KAAK4C,CAAC,CAAC,CAAC,EAAE,OAAO5C,EAAE,8BAA8B2C,CAAC,EAAE3C,EAAE,8BAA8BgC,CAAC,EAAEa,CAAC,CAAC,OAAOF,CAAC,CAAC,SAASymG,GAAItpG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU,EAAE,QAAQ0B,CAAC,EAAE3B,EAAE,OAAO+oG,GAAGJ,GAAG,KAAK1oG,EAAEL,EAAE,EAAE,EAAE+B,CAAC,CAAC,CAAC,IAAIsnG,GAAG,CAAC,WAAWhsF,GAAG,YAAY,QAAQ,WAAW+rF,EAAG,EAAE,SAASE,GAAIxpG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU,EAAE,QAAQ0B,CAAC,EAAE3B,EAAE,OAAO+oG,GAAGJ,GAAG,IAAI1oG,EAAEL,EAAE,EAAE,EAAE+B,CAAC,CAAC,CAAC,IAAIwnG,GAAG,CAAC,WAAWjsF,GAAG,YAAY,QAAQ,WAAWgsF,EAAG,EAAE,SAASE,GAAI1pG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,aAAa0B,CAAC,EAAE3B,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,CAAC,IAAI2B,EAAEhC,EAAE,SAASK,EAAE,MAAM,EAAE4B,EAAEjC,EAAE,SAAS,EAAE,MAAM,EAAE0C,EAAEs1F,GAAGh2F,EAAEC,EAAE,EAAE,MAAM,EAAE,MAAM,CAAC,EAAE,OAAOjC,EAAE,eAAe,CAAC,CAAC,EAAE,EAAE,MAAM0C,CAAC,CAAC,SAASrC,EAAE,MAAM,SAAS,EAAE,CAAC,IAAI2B,EAAEhC,EAAE,WAAWK,CAAC,EAAE4B,EAAEjC,EAAE,WAAW,CAAC,EAAE0C,EAAEu1F,GAAGj2F,EAAEC,EAAE,EAAEF,CAAC,EAAE,OAAO/B,EAAE,eAAe0C,EAAE,MAAM,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,MAAM,IAAI,MAAM,qEAAqErC,EAAE,MAAM,SAAS,CAAC,CAAC,IAAIopG,GAAG,CAAC,WAAWjsF,GAAG,YAAY,QAAQ,WAAWgsF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAY9oG,EAAEZ,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,YAAYY,EAAE,KAAK,UAAUZ,EAAE,KAAK,WAAW,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA,gBAIvqE,KAAK,qBAAqB;AAAA,gBAC1B,KAAK,oBAAoB;AAAA,gBACzB,KAAK,oBAAoB;AAAA;AAAA,uBAElBA;AAAA,+BACQA;AAAA,uBACRA;AAAA,+BACQA;AAAA,mCACIA;AAAA,UACzB,KAAK,mBAAmB;AAAA;AAAA;AAAA,uBAGX,KAAK,uBAAuB;AAAA;AAAA;AAAA,GAGhD,CAAC,sBAAsB,CAAC,OAAO,KAAK,aAAa,OAAO,YAAY,WAAW,CAAC,qBAAqB,CAAC,OAAO,KAAK,aAAa,OAAO,YAAY,WAAW,CAAC,qBAAqB,CAAC,OAAO,KAAK,aAAa,OAAO,YAAY,WAAW,CAAC,oBAAoB,CAAC,OAAO,KAAK,aAAa,OAAO,KAAK,YAAY,GAAG,KAAK,YAAY,EAAE,CAAC,wBAAwB,CAAC,OAAO,KAAK,aAAa,OAAO,4BAA4B,2BAA2B,CAAC,EAAE,SAAS2pG,GAAI7pG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,UAAU,EAAE,WAAW,CAAC,EAAED,EAAE2B,EAAE1B,EAAE,MAAM,GAAG2B,EAAE,IAAI,OAAO3B,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG4B,EAAE,IAAI,OAAO5B,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGqC,EAAE,IAAI,OAAOrC,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGsC,EAAEX,EAAE,EAAEY,EAAEX,EAAE,EAAEY,EAAEH,GAAG,EAAE,GAAGI,EAAE,IAAI,OAAO,CAACf,EAAEY,EAAEC,EAAEC,CAAC,EAAE,CAACd,EAAEc,EAAEF,EAAEC,CAAC,EAAEoB,EAAE,IAAI0lG,GAAG5mG,EAAE,EAAE,CAAC,EAAE,OAAO9C,EAAE,gBAAgBgE,EAAE,CAAC3D,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAIupG,GAAG,CAAC,WAAWnsF,GAAG,YAAY,QAAQ,WAAWksF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYjpG,EAAEZ,EAAE,GAAG,EAAE,KAAKK,EAAE,GAAGwB,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,OAAO,KAAK,OAAO,EAAE,CAAC,KAAK,UAAU,KAAK,OAAO,EAAE,CAAC,KAAK,YAAY,KAAK,OAAO,EAAE,CAAC,KAAK,SAAS,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYjB,EAAE,SAAS,KAAK,oBAAoBk1F,GAAG,KAAK,YAAY,MAAM,EAAE,IAAIh0F,EAAElB,EAAE,aAAamB,EAAEnB,EAAE,YAAYoB,EAAEpB,EAAE,YAAYA,EAAE,WAAW,EAAE,GAAG8B,EAAE,GAAG,IAAIrC,EAAE,EAAE;AAAA;AAAA,YAEzqC;AAAA,WACDwB,EAAE,EAAE;AAAA;AAAA,YAEH;AAAA,WACD,EAAE;AAAA;AAAA,cAEC;AAAA;AAAA,UAEJa,EAAE,gCAAgC,IAAI,EAAE1C,EAAE,kCAAkC,GAAGA,GAAG,KAAK,cAAc,KAAK,MAAM,EAAEK,GAAG,KAAK,cAAc,KAAK,wBAAwB,EAAEwB,GAAG,KAAK,cAAc,KAAK,gBAAgB,EAAE,KAAK,SAAS;AAAA,QACpO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAOgBG;AAAA,4BACIA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCASIF;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAOEC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAcxB;AAAA,UACAW;AAAA;AAAA;AAAA,KAGL,CAAC,EAAMonG,GAAG,KAAK,CAAC,YAAYlpG,EAAEZ,EAAE,GAAG,EAAE,KAAKK,EAAE,GAAGwB,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,eAAe,CAAC,CAAC,KAAK,OAAO,KAAK,OAAO,EAAE,CAAC,KAAK,UAAU,KAAK,OAAO,EAAE,CAAC,KAAK,YAAY,KAAK,OAAO,EAAE,CAAC,KAAK,SAAS,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYjB,EAAE,SAAS,KAAK,oBAAoBk1F,GAAG,KAAK,YAAY,MAAM,EAAE,IAAIh0F,EAAElB,EAAE,YAAYA,EAAE,WAAWmB,EAAEnB,EAAE,QAAQ,KAAKoB,EAAEpB,EAAE,YAAY,EAAEA,EAAE,cAAc8B,EAAE9B,EAAE,aAAa,EAAEA,EAAE,YAAYgC,EAAE,EAAEC,EAAE;AAAA;AAAA,+CAE1a,QAAQwE,EAAE,EAAEA,EAAE,EAAEA,IAAIxE,GAAG;AAAA,wBAC9CwE,EAAE;AAAA,uBACHA,EAAE;AAAA,wBACDA,EAAE,EAAE;AAAA,uBACLA,EAAE,EAAE;AAAA,mBACRA,KAAKxE,GAAG;AAAA,0BACDH;AAAA,QAClB,QAAQ2E,EAAE,EAAEA,EAAE,EAAEA,IAAIxE,GAAG;AAAA,mBACZwE,EAAE;AAAA,mBACFA,EAAE;AAAA,mBACFA,EAAE,EAAE;AAAA,mBACJA,EAAE,EAAE;AAAA,cACTA,iBAAiBxE,GAAG;AAAA;AAAA;AAAA,QAG1B,QAAQwE,EAAE,EAAEA,GAAGzE,EAAE,GAAG,EAAEyE,IAAI,CAAC,IAAI,EAAEA,EAAE,EAAE,GAAGxE,GAAG;AAAA,4BACvB,EAAE;AAAA,YAClBb,IAAI,GAAG,GAAG,EAAE,IAAID,EAAE,IAAI,GAAGc,GAAG;AAAA;AAAA,sEAE8B;AAAA,2BAC3C;AAAA;AAAA;AAAA;AAAA;AAAA,6BAKE;AAAA;AAAA,2BAEF;AAAA;AAAA,gBAEX,IAAI,GAAG,EAAE,EAAEA,GAAG;AAAA,oBACV,mBAAmB,EAAE,gBAAgB;AAAA,kBACvCA,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAYG,gCAAgC;AAAA;AAAA,wBAEhC,6BAA6B;AAAA;AAAA,qBAEhCA,GAAG;AAAA,0DACkC;AAAA,2BAC/B;AAAA;AAAA,6BAEE;AAAA;AAAA,2BAEF;AAAA;AAAA;AAAA,oBAGP,cAAc;AAAA,kBAChB,EAAE,EAAE,GAAG,CAAC,IAAI4B,EAAE1C,EAAE,IAAI,EAAE6kB,EAAE,kBAAkB,CAAC,EAAE,EAAE,EAAE,IAAI,GAAG7kB,EAAE,IAAI,GAAG,EAAE,IAAI,GAAGA,EAAE,IAAI,GAAGc,GAAG;AAAA,uDACjD4B;AAAA;AAAA,wEAEiB,EAAE;AAAA,6BAC7C,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,+BAKA,EAAE;AAAA;AAAA,6BAEJ,EAAE;AAAA;AAAA,oBAEX,EAAE,EAAE5B,GAAG;AAAA;AAAA;AAAA;AAAA,yBAIF,EAAE,gCAAgC,EAAE;AAAA;AAAA,yBAEpC,EAAE,6BAA6B,EAAE;AAAA;AAAA,sBAEpCA,GAAG;AAAA,wBACD,EAAE,mBAAmB,gBAAgB,EAAE;AAAA,uBACxC4B,IAAI,EAAE5B,GAAG;AAAA,wBACR,EAAE,cAAc;AAAA,sBAClBA,GAAG;AAAA,sCACa4B;AAAA;AAAA,0EAEoC,EAAE;AAAA,+BAC7C,EAAE;AAAA;AAAA,iCAEA,EAAE;AAAA;AAAA,+BAEJ,EAAE;AAAA;AAAA;AAAA,wBAGT,EAAE,cAAc,EAAE;AAAA,qBACrB,OAAO,EAAE,IAAI1C,EAAE,IAAI,GAAGc,GAAG;AAAA;AAAA,qEAEuB;AAAA,2BAC1C;AAAA;AAAA;AAAA;AAAA,6BAIE;AAAA;AAAA,2BAEF;AAAA;AAAA;AAAA,iEAGsC,EAAE;AAAA,2BACxC,EAAE;AAAA;AAAA;AAAA;AAAA,6BAIA,EAAE;AAAA;AAAA,2BAEJ,EAAE;AAAA;AAAA;AAAA,oBAGT,mBAAmB,gBAAgB,EAAE;AAAA,gBACzC,EAAE,EAAE,IAAIA,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,sBAML,EAAE,mBAAmB,EAAE;AAAA,qBACxBA,GAAG;AAAA,yDACiC;AAAA,2BAC9B;AAAA;AAAA,6BAEE;AAAA;AAAA,2BAEF;AAAA;AAAA;AAAA;AAAA,qEAI0C,EAAE;AAAA,2BAC5C,EAAE;AAAA;AAAA,6BAEA,EAAE;AAAA;AAAA,2BAEJ,EAAE;AAAA;AAAA;AAAA,oBAGT;AAAA,2BACO,gBAAgB,EAAE;AAAA,gBAC7B,EAAE,EAAE,IAAIA,GAAG;AAAA,sBACL,EAAE,mBAAmB,gBAAgB,EAAE;AAAA,qBACxC,EAAE,IAAIA,GAAG;AAAA,+BACC;AAAA,2BACJ;AAAA,YACf,EAAE,EAAE,IAAIA,GAAG;AAAA,iCACU,EAAE;AAAA,6BACN,EAAE;AAAA,eAChB,CAACA,GAAG;AAAA;AAAA,IAEfA,GAAG;AAAA;AAAA,MAED,IAAIC,EAAE,GAAGkB,EAAE,GAAG,IAAI3D,EAAEyC,EAAE;AAAA;AAAA,YAEhB;AAAA,WACDjB,EAAEiB,EAAE;AAAA;AAAA,YAEH;AAAA,WACDA,EAAE;AAAA,YACD;AAAA,WACDkB,EAAE,gCAAgC,IAAIC,EAAEjE,EAAE,kCAAkC,GAAGA,GAAG,KAAK,cAAc,KAAK,MAAM,EAAEK,GAAG,KAAK,cAAc,KAAK,wBAAwB,EAAEwB,GAAG,KAAK,cAAc,KAAK,gBAAgB,EAAE,KAAK,SAAS;AAAA,QACrOiB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAOgBhB;AAAA,4BACIA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAOlBe;AAAA;AAAA;AAAA,UAGAoB;AAAA,UACAD;AAAA;AAAA;AAAA,KAGL,CAAC,EAAE,SAAS+lG,GAAIjqG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,UAAUC,EAAE,gBAAgBC,CAAC,EAAE7B,EAAEsC,EAAEV,EAAEU,GAAG,OAAOA,EAAE,CAAC,EAAE,CAAC,GAAGkkB,EAAE,OAAO0zB,EAAE,+BAA+B,EAAE53C,CAAC,EAAE,IAAI,gFAAgF,oBAAoBA,IAAI,EAAE,IAAIC,EAAE23C,EAAE,kBAAkBj6C,EAAE,MAAM,EAAE,MAAM,EAAEqC,EAAEX,EAAEE,EAAE,EAAE,EAAEW,EAAE2X,EAAE,EAAE,QAAQ,0BAA0B,GAAG5X,EAAE,aAAa,GAAGA,EAAE,YAAYA,EAAE,aAAa,EAAEC,EAAE,IAAIknG,GAAGnnG,CAAC,EAAEC,EAAE,IAAIinG,GAAGlnG,CAAC,EAAE,IAAIE,EAAE,CAAC,CAACF,EAAE,QAAQ,IAAIA,EAAE,QAAQ,IAAI,EAAE,CAACA,EAAE,aAAaA,EAAE,WAAW,EAAE,CAACA,EAAE,eAAeA,EAAE,aAAa,EAAE,CAACA,EAAE,SAASA,EAAE,OAAO,CAAC,EAAE,OAAO3C,EAAE,gBAAgB4C,EAAE,CAACvC,EAAE,CAAC,EAAE,UAAUwC,CAAC,CAAC,CAAC,IAAImnG,GAAG,CAAC,WAAWtsF,GAAG,YAAY,QAAQ,WAAWqsF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYrpG,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,IAAI,EAAE,KAAK,YAAYA,EAAE,YAAY,IAAIZ,EAAEY,EAAE,aAAa,EAAEA,EAAE,YAAYP,EAAEO,EAAE,QAAQ,IAAIiB,EAAEjB,EAAE,QAAQ,KAAKkB,EAAElB,EAAE,YAAYA,EAAE,WAAW,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAOr3BkB;AAAA;AAAA;AAAA;AAAA;AAAA,8BAKMlB,EAAE;AAAA,kCACEA,EAAE;AAAA,iCACHZ,OAAOK;AAAA;AAAA,kCAENO,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAA,EAAE;AAAA,mCACH,OAAOiB;AAAA;AAAA,oCAENjB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAYjC,CAAC,EAAEspG,GAAG,KAAK,CAAC,YAAYtpG,EAAE,CAAC,KAAK,cAAc,CAAC,KAAK,GAAG,EAAE,KAAK,YAAYA,EAAE,QAAQ,IAAIZ,EAAEY,EAAE,aAAa,EAAEA,EAAE,YAAYP,EAAEO,EAAE,aAAaiB,EAAEjB,EAAE,YAAYkB,EAAE9B,EAAE,EAAEY,EAAE,QAAQ,IAAImB,EAAE,EAAE,EAAEnB,EAAE,QAAQ,KAAKoB,EAAEpB,EAAE,YAAYA,EAAE,WAAW,KAAK,SAAS;AAAA,iCAClNkB,MAAMC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAYP/B;AAAA,gDACgBK;AAAA;AAAA,oCAEZO,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,yBAKbZ;AAAA;AAAA,kCAES;AAAA,kDACgB6B;AAAA;AAAA,sCAEZjB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAMb;AAAA;AAAA;AAAA,oCAGSoB;AAAA,8BACNA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KASzB,CAAC,EAAE,SAASmoG,GAAIrqG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,UAAU0B,EAAE,IAAIC,EAAE,gBAAgBC,EAAE,YAAYS,CAAC,EAAEtC,EAAEuC,EAAE23C,EAAE,kBAAkBj6C,EAAE,MAAMqC,EAAE,EAAEX,EAAEC,EAAEC,EAAE,EAAE,EAAEW,EAAE,IAAIqnG,GAAGtnG,CAAC,EAAE,OAAO3C,EAAE,gBAAgB4C,EAAE,CAACvC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAI+pG,GAAG,CAAC,WAAWzsF,GAAG,YAAY,QAAQ,WAAWwsF,EAAG,EAAE,SAASE,GAAIvqG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,UAAU0B,EAAE,IAAIC,EAAE,gBAAgBC,EAAE,WAAWS,CAAC,EAAEtC,EAAEuC,EAAE23C,EAAE,kBAAkB53C,EAAE,EAAE,MAAM,EAAEX,EAAEC,EAAEC,EAAE,EAAE,EAAEW,EAAE,IAAIsnG,GAAGvnG,CAAC,EAAE,OAAO3C,EAAE,gBAAgB4C,EAAE,CAACvC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIiqG,GAAG,CAAC,WAAW1sF,GAAG,YAAY,QAAQ,WAAWysF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAY3pG,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY,CAACA,EAAEA,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAM3pB,CAAC,EAAE,SAAS4pG,GAAI1qG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,CAAC,EAAE,EAAEC,EAAE,CAAC,GAAGD,EAAE,MAAM,GAAGA,EAAE,KAAK,EAAE,EAAEwmB,EAAE,cAAcxmB,EAAE,KAAK,EAAE,EAAE++F,GAAG,CAAC,OAAO,CAAC,EAAE/+F,CAAC,EAAE,QAAQJ,EAAE,MAAM,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE+B,EAAE,IAAIwoG,GAAG,CAAC,EAAEvoG,EAAEhC,EAAE,gBAAgB+B,EAAE,CAAC,CAAC,EAAE,EAAE,KAAK,EAAEE,EAAEk9F,GAAG,CAAC,OAAO,CAAC,EAAEn9F,CAAC,EAAE,QAAQhC,EAAE,MAAM,CAAC,MAAMK,CAAC,CAAC,CAAC,EAAE,OAAOL,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8BgC,CAAC,EAAEC,CAAC,CAAC,IAAIwoG,GAAG,CAAC,WAAW5sF,GAAG,YAAY,QAAQ,WAAW2sF,EAAG,EAAME,GAAG,KAAK,CAAC,YAAY9pG,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,YAAYA,EAAE,SAAS,GAAG,CAAC,SAASZ,EAAE,QAAQ,EAAE,QAAQK,EAAE,aAAawB,EAAE,YAAYC,EAAE,aAAaC,EAAE,YAAYC,EAAE,eAAe,EAAE,cAAcU,CAAC,EAAE9B,EAAE,CAAC,IAAI,EAAE,KAAKgC,CAAC,EAAEvC,EAAE,KAAK,SAAS;AAAA,oCACxlBwB,MAAMC;AAAA,iCACT,MAAMc;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAaTb;AAAA,iCACG;AAAA;AAAA,kCAEC/B;AAAA,kCACAgC;AAAA,qCACGU;AAAA;AAAA,sCAEC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAgBjC,CAAC,EAAE,SAASioG,GAAI7qG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,UAAUC,CAAC,EAAE5B,EAAE6B,EAAEq4C,EAAE,sBAAsBj6C,EAAE,MAAM,EAAE,MAAM,EAAE0B,EAAE,OAAOC,CAAC,EAAEU,EAAEC,EAAE,IAAI+nG,GAAGzoG,CAAC,EAAES,EAAE1C,EAAE,gBAAgB2C,EAAE,CAACtC,EAAE,CAAC,EAAE,SAAS,EAAE,IAAIuC,EAAEu8F,GAAG,CAAC,OAAO,CAAC,EAAEz8F,CAAC,EAAE,QAAQ1C,EAAE,MAAM,CAAC,MAAMiC,EAAE,QAAQ,CAAC,CAAC,EAAE,OAAOjC,EAAE,8BAA8B0C,CAAC,EAAEE,CAAC,CAAC,IAAIgoG,GAAG,CAAC,WAAW9sF,GAAG,YAAY,QAAQ,WAAW6sF,EAAG,EAAE,SAASE,GAAI/qG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,SAASO,CAAC,EAAED,EAAE,EAAE,EAAE,CAAC,QAAQ,EAAE,WAAW2B,EAAE,OAAOC,CAAC,EAAEs4C,EAAE,qBAAqBj6C,EAAE,EAAE,MAAM,EAAEi6C,EAAE,oBAAoB,EAAE,OAAOt4C,EAAE,CAAC,EAAE,GAAG,CAAC,KAAKC,EAAE,MAAMS,CAAC,EAAE43C,EAAE,qBAAqBv4C,EAAEC,CAAC,EAAEW,EAAED,EAAE,OAAOE,EAAE,KAAKC,EAAE,EAAE,OAAOC,EAAE,CAAC,EAAE,QAAQkB,EAAE,EAAEA,EAAErB,EAAE,EAAEqB,EAAE,CAAC,QAAQ,KAAKtB,EAAEsB,GAAG,CAAC,GAAG,CAAC,mBAAmBqD,EAAE,WAAWxC,CAAC,EAAEy1C,EAAE,qBAAqBz3C,EAAEb,EAAE,EAAE,EAAEyC,EAAE61C,EAAE,sBAAsBjzC,CAAC,EAAE5C,EAAE,EAAE,IAAIA,EAAEu7F,GAAG,CAAC,OAAO,CAAC,EAAE,EAAE,EAAE,EAAE,QAAQhgG,EAAE,MAAM,CAAC,KAAKqH,CAAC,CAAC,CAAC,EAAEvE,EAAE,KAAK2B,CAAC,GAAG,IAAIC,EAAED,EAAE,MAAM,MAAM,EAAE,QAAQE,EAAE,EAAEA,EAAEE,EAAE,OAAO,EAAEF,EAAED,EAAE,OAAOG,EAAEF,GAAG,EAAE,CAAC,EAAEiiB,EAAE,YAAYniB,EAAE,MAAMC,CAAC,IAAID,EAAE06F,GAAG,CAAC,OAAO,CAAC16F,CAAG,EAAE,QAAQzE,EAAE,MAAM,CAAC,MAAM0E,CAAC,CAAC,CAAC,EAAE5B,EAAE,KAAK2B,CAAC,GAAG7B,IAAI,KAAKA,EAAE6B,GAAG7B,EAAEo8F,GAAG,CAAC,OAAO,CAAC,EAAEv6F,EAAE,EAAE7B,CAAC,EAAE,QAAQ5C,CAAC,CAAC,EAAE8C,EAAE,KAAKF,CAAC,EAAE,CAACoB,EAAErB,EAAE,IAAIV,EAAE+B,IAAI,IAAIpB,EAAEk9F,GAAG,CAAC,OAAO,CAAC,EAAEl9F,CAAC,EAAE,QAAQ5C,EAAE,MAAM,CAAC,KAAKiC,EAAE+B,IAAI,EAAE,OAAOnB,GAAG,SAAS,EAAE,CAAC,CAAC,EAAEC,EAAE,KAAKF,CAAC,GAAGC,IAAI,CAAC,QAAQmB,KAAKlB,EAAEkB,IAAIpB,GAAG5C,EAAE,8BAA8BgE,CAAC,EAAE,OAAOpB,CAAC,CAAC,IAAIkoG,GAAG,CAAC,WAAW5sF,GAAG,YAAY,QAAQ,WAAW2sF,EAAG,EAAME,IAAI,0CAA0CC,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAS1zCC,IAAIxM,GAAG,CAAC,UAAUsM,IAAI,gBAAgBC,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW/sF,GAAG,YAAY,QAAQ,WAAW8sF,GAAG,EAAME,IAAI,yCAAyCC,IAAI;AAAA;AAAA;AAAA,EAGvJC,IAAIvrG,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,GAAGM,EAAE,EAAEC,CAAC,EAAE,EAAE,EAAEka,EAAE,EAAE,QAAQ,8BAA8B,EAAE,IAAIojF,GAAGyN,IAAIhrG,EAAE,MAAMC,EAAE,KAAK,EAAE,IAAIo9F,GAAG0N,IAAI/qG,EAAE,MAAMC,EAAE,KAAK,EAAE,OAAOL,EAAE,gBAAgB,EAAE,CAACI,EAAEC,CAAC,EAAED,EAAE,KAAK,CAAC,EAAEkrG,IAAG,CAAC,WAAWltF,GAAG,YAAY,QAAQ,WAAWitF,GAAG,EAAME,IAAI;AAAA;AAAA,EAE9PC,IAAI,wBAAwBC,IAAI/M,GAAG,CAAC,UAAU8M,IAAI,gBAAgBD,IAAI,MAAM,OAAO,cAAclT,EAAE,CAAC,EAAEqT,IAAG,CAAC,WAAWptF,GAAG,YAAY,QAAQ,WAAWmtF,GAAG,EAAME,IAAI;AAAA;AAAA;AAAA;AAAA,cAIxJrxD,EAAE;AAAA,eACDA,EAAE;AAAA,eACFA,EAAE;AAAA,eACFA,EAAE;AAAA,eACFA,EAAE;AAAA,eACFA,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAMfsxD,IAAInN,GAAG,CAAC,UAAUkN,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWxtF,GAAG,YAAY,QAAQ,WAAWutF,GAAG,EAAME,IAAItN,GAAG;AAAA;AAAA,EAEzFuN,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EASJC,GAAGvN,GAAG,CAAC,UAAUqN,IAAI,gBAAgBC,IAAI,cAAczT,GAAG,MAAM,SAAS,CAAC,EAAE2T,IAAG,CAAC,WAAW1tF,GAAG,YAAY,QAAQ,WAAWytF,EAAE,EAAE,SAASE,GAAGpsG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQI,CAAC,EAAEN,EAAE,CAAC,IAAIO,CAAC,EAAEL,EAAE,CAAC,MAAM,CAAC,EAAE,EAAE,EAAE,EAAE,MAAM,OAAO+B,EAAE,EAAE,MAAM,MAAM,EAAEC,EAAE3B,EAAE,OAAOA,EAAE,IAAIumB,EAAE,OAAO,EAAE,EAAE,IAAIvmB,EAAE,IAAI,iCAAiC,EAAE,EAAE,OAAO,IAAI,EAAE2B,EAAE,EAAE3B,EAAE,GAAG0B,EAAE,OAAOC,EAAE,EAAE,CAAC,EAAEm9F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ/+F,EAAE,MAAM,CAAC,MAAM2B,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIoqG,IAAG,CAAC,WAAW3tF,GAAG,YAAY,QAAQ,WAAW0tF,EAAE,EAAME,GAAG,uBAAuBC,IAAI5N,GAAG,CAAC,UAAU2N,GAAG,gBAAgBA,GAAG,cAAc7T,EAAE,CAAC,EAAE+T,IAAG,CAAC,WAAW7tF,GAAG,YAAY,QAAQ,WAAW4tF,GAAG,EAAME,GAAG,KAAK,CAAC,YAAY3rG,EAAEZ,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,OAAO,MAAM,EAAE,IAAIK,EAAEL,EAAE,GAAG,KAAK,YAAYA,EAAE,IAAI6B,EAAE,EAAE,SAAS,KAAK,KAAK,UAAU,KAAK,KAAKC,EAAE,EAAE,GAAGzB,MAAM,MAAM0B,EAAE,GAAGnB,IAAI,OAAOmB,EAAE,4CAA4CnB,IAAI,OAAOmB,EAAE,wCAAyC,OAAM,IAAI,MAAM,sDAAsDnB,IAAI,EAAE,KAAK,SAAS;AAAA,yCAC75BiB;AAAA;AAAA;AAAA,UAG/BE;AAAA;AAAA;AAAA;AAAA,kDAIwC1B;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMpBA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yDAS2ByB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAUpD,CAAC,EAAE,SAAS0qG,GAAG1sG,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEJ,EAAE,QAAQ,IAAIF,EAAE,MAAM,EAAEO,EAAEumB,EAAE,cAAc9mB,EAAE,KAAK,EAAE,EAAEA,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAG,EAAEO,EAAE,EAAE0B,EAAEo9F,GAAG,CAAC,OAAO,CAAC,EAAEr/F,CAAC,EAAE,QAAQE,EAAE,MAAM,CAAC,MAAM,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEgC,EAAED,EAAE,MAAME,EAAE,IAAIsqG,GAAG,OAAOvqG,EAAE,CAAC,EAAEU,EAAE,IAAI6pG,GAAG,OAAOvqG,EAAE,CAAC,EAAEW,EAAE,CAAC,CAAC,OAAOvC,EAAE,mBAAmB,KAAK,OAAO,MAAMA,EAAE,mBAAmB,KAAK,MAAM,MAAM4B,CAAC,EAAE,CAAC,OAAO5B,EAAE,mBAAmB,KAAK,OAAO,MAAMA,EAAE,mBAAmB,KAAK,MAAM,MAAM4B,CAAC,CAAC,EAAEY,EAAE5C,EAAE,gBAAgBiC,EAAEU,EAAE,SAAS,EAAEE,EAAE7C,EAAE,gBAAgB0C,EAAEC,EAAE,SAAS,EAAEG,EAAEg7F,GAAG,CAAC,OAAO,CAAC,KAAKl7F,EAAE,KAAKC,CAAC,EAAE,QAAQ7C,CAAC,CAAC,EAAEA,EAAE,8BAA8B4C,CAAC,EAAE5C,EAAE,8BAA8B6C,CAAC,EAAE,IAAImB,EAAEm7F,GAAG,CAAC,OAAO,CAAC,EAAEr8F,CAAC,EAAE,QAAQ9C,EAAE,MAAM,CAAC,MAAMF,EAAE,KAAK,CAAC,CAAC,EAAE,OAAOE,EAAE,8BAA8B+B,CAAC,EAAE/B,EAAE,8BAA8B8C,CAAC,EAAEkB,CAAC,CAAC,SAASyoG,IAAI3sG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMM,CAAC,EAAE,EAAE,OAAOosG,GAAGpsG,EAAE,GAAGJ,CAAC,CAAC,CAAC,IAAI0sG,IAAG,CAAC,WAAWhuF,GAAG,YAAY,QAAQ,WAAW+tF,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY/rG,EAAEZ,EAAE,CAAC,KAAK,YAAY,CAAC,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,QAAQ,KAAK,OAAO,CAAC,EAAE,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAYY,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA,KAKz+B,CAAC,EAAE,SAASgsG,GAAG9sG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,MAAMM,EAAE,MAAMC,CAAC,EAAEL,EAAE,CAAC,MAAM,CAAC,EAAEA,EAAE,GAAG,EAAE,GAAG4mB,EAAE,WAAWvmB,CAAC,EAAE,IAAI,SAAS,CAAC,IAAI,EAAEumB,EAAE,kBAAkB,EAAEA,EAAE,cAAcxmB,CAAC,CAAC,EAAE,OAAO,EAAE,KAAKC,CAAC,EAAE,EAAE,eAAeD,EAAE,EAAE,CAAC,CAAC,KAAK,CAAC,IAAI,EAAE,IAAIusG,IAAGvsG,EAAEC,CAAC,EAAE0B,EAAE,CAAC,CAAC1B,CAAC,CAAC,EAAE,OAAO,EAAE,gBAAgB,EAAE,CAAC,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,IAAI8qG,IAAG,CAAC,WAAWluF,GAAG,YAAY,QAAQ,WAAWiuF,EAAE,EAAME,IAAG,KAAK,CAAC,YAAYlsG,EAAE,CAAC,KAAK,cAAc,CAAC,OAAO,EAAE,KAAK,YAAY,CAAC,EAAE,IAAIZ,EAAEY,EAAE,GAAG,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA,yBAK3aZ;AAAA;AAAA,uCAEcA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAOlC,CAAC,EAAM+sG,IAAG,CAAC,WAAWnuF,GAAG,YAAY,QAAQ,WAAW,CAAC,CAAC,OAAO9e,EAAE,QAAQ,CAAC,IAAI,CAAC,GAAG,CAAC,MAAME,CAAC,EAAEF,EAAEM,EAAE,EAAEC,EAAE,IAAIysG,IAAG9sG,EAAE,KAAK,EAAE,OAAOI,EAAE,gBAAgBC,EAAE,CAACL,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,EAAMgtG,GAAG,mBAAmBC,IAAIxO,GAAG,CAAC,UAAUuO,GAAG,gBAAgBA,GAAG,cAAcxU,EAAE,CAAC,EAAE0U,IAAG,CAAC,WAAWruF,GAAG,YAAY,QAAQ,WAAWouF,GAAG,EAAME,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUtTC,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAqBJC,IAAI3O,GAAG,CAAC,UAAUyO,IAAI,gBAAgBC,IAAI,MAAM,OAAO,CAAC,EAAEE,IAAG,CAAC,WAAWxuF,GAAG,YAAY,QAAQ,WAAWuuF,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY3sG,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,IAAIZ,EAAEmyF,GAAG,EAAE,CAAC,EAAE9xF,CAAC,EAAEO,EAAE,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,uDAMpKP,QAAQ;AAAA;AAAA,wBAEvCL,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAcrB,CAAC,EAAMwtG,IAAG,KAAK,CAAC,YAAY5sG,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,IAAIZ,EAAEmyF,GAAG,EAAE,CAAC,EAAE9xF,CAAC,EAAEO,EAAE,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAe7HP,QAAQ;AAAA,4BACVL,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAgBpBA,EAAE;AAAA;AAAA,KAEP,CAAC,EAAMytG,IAAG,CAAC,WAAW/nF,GAAG,YAAY,QAAQ,WAAWgoF,GAAG,EAAEC,GAAGC,GAAGrzF,EAAE,EAAE,QAAQ,uCAAuC,EAAE,SAASmzF,IAAI5tG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,CAAC,EAAE,EAAE,CAAC,YAAY,CAAC,EAAED,EAAE,EAAE,OAAO,kBAAkB,aAAaC,aAAa,iBAAiB0B,EAAE,OAAO,kBAAkB,aAAa1B,aAAa,iBAAiB,CAAC2B,EAAEC,CAAC,EAAE,EAAE,CAAC5B,EAAE,WAAWA,EAAE,WAAW,EAAE,CAACA,EAAE,MAAMA,EAAE,MAAM,EAAEqC,EAAE,CAACT,EAAED,CAAC,EAAEW,EAAE,CAACV,EAAED,EAAE,CAAC,EAAE,GAAGD,GAAG,EAAE,CAAC,IAAIiC,EAAEuW,EAAE,EAAE,QAAQ,uCAAuC,GAAGozF,IAAI,MAAM3pG,IAAI4pG,MAAMA,GAAG5pG,EAAE2pG,GAAG,SAAS,cAAc,QAAQ,EAAE,WAAW,KAAK,CAAC,mBAAmBC,EAAE,CAAC,GAAGD,GAAG,OAAO,MAAM3rG,EAAE2rG,GAAG,OAAO,OAAO1rG,EAAE0rG,GAAG,UAAUttG,EAAE,EAAE,EAAE2B,EAAEC,CAAC,EAAE5B,EAAEstG,GAAG,MAAM,CAAC,IAAI/qG,EAAE5C,EAAE,eAAe0C,EAAE,OAAO,EAAE1C,EAAE,QAAQ,IAAI4C,EAAE,MAAM,EAAE,MAAMmuF,GAAG,OAAO/wF,EAAE,MAAM,yBAAyBA,EAAE,WAAW4C,EAAE,MAAM,EAAEvC,CAAC,EAAE,IAAIwC,EAAE0X,EAAE,EAAE,QAAQ,YAAY,EAAE,IAAIizF,IAAG7qG,CAAC,EAAE,IAAI4qG,IAAG5qG,CAAC,EAAEG,EAAE9C,EAAE,gBAAgB6C,EAAE,CAACD,CAAC,EAAE,OAAO,EAAE,OAAO5C,EAAE,YAAY4C,EAAE,MAAM,EAAEE,CAAC,CAAC,SAAS+qG,IAAI/tG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,QAAQC,EAAE,IAAIC,EAAE,WAAWS,EAAE,UAAUC,EAAE,gBAAgBC,EAAE,WAAWC,EAAE,eAAeC,CAAC,EAAE1C,EAAE4D,EAAEs2C,EAAE,wBAAwB53C,CAAC,EAAE,EAAE43C,EAAE,kBAAkBj6C,EAAE,MAAM,EAAE,MAAM2B,EAAEW,EAAEV,EAAEW,EAAE,GAAGoB,CAAC,EAAEqD,EAAExC,EAAE,CAAC,EAAEJ,EAAE,GAAG,KAAKC,EAAE3C,GAAG,KAAK4C,EAAE9B,IAAI,YAAY+B,EAAE,IAAI,CAAC,IAAIE,EAAE,CAACzE,EAAE,CAAC,EAAEkH,EAAE,CAACxC,EAAEC,IAAI,CAAC,GAAGA,IAAI,QAAQD,EAAE,MAAM,SAAS,GAAGA,EAAE,MAAM,KAAK,EAAE,CAAC,IAAIE,EAAEk6F,GAAG,CAAC,OAAO,CAAC,EAAEp6F,CAAC,EAAE,QAAQ/E,EAAE,MAAM,CAAC,MAAM,CAAC+E,EAAE,MAAM,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,EAAE,OAAOF,EAAE,KAAKI,CAAC,EAAEA,CAAC,CAAC,OAAOF,CAAC,EAAE,GAAGN,GAAGK,EAAE,KAAKyC,EAAE,EAAE7E,CAAC,CAAC,EAAEgC,GAAGI,EAAE,KAAKyC,EAAExF,EAAEW,CAAC,CAAC,EAAEiC,EAAE,CAAC,IAAII,EAAE/E,EAAE,eAAe,CAAC,EAAE,UAAU4mB,EAAE,kBAAkB9jB,EAAE,SAAS,CAAC,EAAEgC,EAAE,KAAKC,CAAC,EAAEF,EAAE,KAAKE,CAAC,CAAC,CAAC,OAAOD,CAAC,EAAE,GAAG,EAAE,eAAe,GAAG,EAAE,cAAc,GAAG,EAAE,iBAAiB,GAAG,EAAE,gBAAgB,GAAG,EAAE,eAAe,GAAG,EAAE,cAAc,IAAI,EAAE,QAAQ,OAAO,QAAQ,EAAE,QAAQ,OAAO,SAASuC,EAAE+/F,GAAG,CAAC,EAAE/mG,EAAE,OAAO,EAAE,SAAS,EAAE,QAAQL,EAAE,KAAK,EAAE,WAAW6C,EAAE,uBAAuBd,EAAE,eAAee,CAAC,CAAC,UAAU,EAAE,aAAa,GAAGkB,IAAI,gBAAgBuW,EAAE,EAAE,QAAQ,gBAAgB,EAAE,CAAC,IAAIzV,EAAEjC,EAAE87F,GAAG97F,EAAE,EAAE,EAAE,KAAK0E,EAAE,IAAI0/F,GAAG,EAAExiG,EAAEK,EAAEJ,EAAEC,CAAC,EAAEI,EAAE,CAAC,CAAC,EAAE,QAAQ,IAAI,EAAE,QAAQ,IAAI,EAAE,CAAC,EAAE,aAAa,EAAE,WAAW,EAAE,CAAC,EAAE,eAAe,EAAE,aAAa,EAAE,CAAC,EAAE,SAAS,EAAE,OAAO,CAAC,EAAEC,EAAEJ,EAAE,EAAEyC,EAAErH,EAAE,gBAAgBuH,EAAEvC,EAAE,UAAUD,CAAC,CAAC,SAASwV,EAAE,EAAE,QAAQ,mBAAmB,EAAElT,EAAEggG,GAAG,CAAC,EAAEhnG,EAAE,OAAO,EAAE,SAAS,EAAE,QAAQL,EAAE,KAAK,EAAE,WAAW6C,EAAE,uBAAuBd,EAAE,eAAee,CAAC,CAAC,MAAM,CAAC,IAAIgC,EAAEjC,EAAE87F,GAAG97F,EAAE,EAAE,EAAE,KAAK0E,EAAE,IAAIw/F,GAAG,EAAEtiG,EAAEK,EAAEJ,EAAEC,CAAC,EAAEI,EAAEH,EAAE,EAAEyC,EAAErH,EAAE,gBAAgBuH,EAAExC,EAAE,SAAS,CAAC,CAAC,IAAIuC,EAAE63F,GAAG,CAAC,OAAO,CAAC,EAAA93F,CAAC,EAAE,QAAQrH,EAAE,MAAM,CAAC,MAAM,EAAE,QAAQ,CAAC,CAAC,EAAE,OAAO6E,EAAE,KAAKwC,CAAC,EAAExC,EAAE,QAAQC,GAAG9E,EAAE,8BAA8B8E,CAAC,CAAC,EAAEwC,CAAC,CAAC,IAAIwmG,IAAG,CAAC,WAAWjoF,GAAG,YAAY,QAAQ,WAAWgoF,GAAG,EAAE,SAASE,IAAIjuG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,QAAQC,EAAE,IAAIC,EAAE,UAAUS,EAAE,gBAAgBC,EAAE,WAAWC,EAAE,eAAeC,CAAC,EAAEzC,EAAE0C,EAAE,CAAC,EAAEkB,EAAEtB,EAAEsB,GAAG,OAAOA,EAAE,CAAC,EAAE,CAAC,GAAG4iB,EAAE,OAAO0zB,EAAE,+BAA+Bt4C,EAAEgC,CAAC,EAAE,IAAI,gFAAgFhC,oBAAoBgC,IAAI,EAAE,IAAI,EAAEs2C,EAAE,kBAAkBj6C,EAAE,MAAM,EAAE,MAAM2B,EAAEgC,EAAE/B,EAAEU,EAAE,EAAE,EAAE0E,EAAEkT,EAAE,EAAE,QAAQ,0BAA0B,GAAG,EAAE,aAAa,GAAG,EAAE,YAAY,EAAE,aAAa,EAAE1V,EAAEjC,EAAE+7F,GAAG/7F,EAAEyE,CAAC,EAAE,KAAK5C,EAAE,CAACpE,EAAE,CAAC,EAAEqE,EAAE,GAAG,KAAKC,EAAE5C,GAAG,KAAK6C,EAAEhC,IAAI,YAAY,GAAG8B,GAAGD,EAAE,KAAK,CAAC,EAAEE,GAAGF,EAAE,KAAK1C,CAAC,EAAE6C,EAAE,CAAC,IAAIG,EAAE/E,EAAE,eAAe,CAAC,EAAE,UAAU4mB,EAAE,kBAAkB/jB,EAAE,SAAS,CAAC,EAAE4B,EAAE,KAAKM,CAAC,EAAEjC,EAAE,KAAKiC,CAAC,CAAC,CAAC,IAAIuC,EAAED,EAAEC,EAAE,IAAIwiG,GAAG,EAAEplG,EAAEG,EAAEF,EAAEC,CAAC,EAAE0C,EAAE,IAAIuiG,GAAG,EAAEnlG,EAAEG,EAAEF,EAAEC,CAAC,EAAE,IAAIE,EAAE,CAAC,CAAC,EAAE,QAAQ,IAAI,EAAE,QAAQ,IAAI,EAAE,CAAC,EAAE,aAAa,EAAE,WAAW,EAAE,CAAC,EAAE,eAAe,EAAE,aAAa,EAAE,CAAC,EAAE,SAAS,EAAE,OAAO,CAAC,EAAEyC,EAAEvH,EAAE,gBAAgBsH,EAAE7C,EAAE,UAAUK,CAAC,EAAE,OAAOhC,EAAE,QAAQiC,GAAG/E,EAAE,8BAA8B+E,CAAC,CAAC,EAAEwC,CAAC,CAAC,IAAIymG,IAAG,CAAC,WAAWloF,GAAG,YAAY,QAAQ,WAAWioF,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYrtG,EAAEZ,EAAE,EAAEK,EAAE,CAAC,KAAK,SAASO,EAAE,KAAK,QAAQZ,EAAE,KAAK,YAAYK,EAAE,KAAK,cAAc,CAAC,IAAI,SAAS,EAAE,KAAK,YAAY,EAAE,IAAIwB,EAAE2zF,GAAG,EAAE,MAAM,EAAE1zF,EAAE;AAAA,gBACznH,QAAQC,EAAE,EAAEA,EAAE,KAAK,SAASA,IAAID,GAAG;AAAA,gDACHC;AAAA;AAAA,sDAEM,KAAK,YAAYA;AAAA,oCACnC,KAAK,QAAQA,MAAM,KAAK,SAAS;AAAA;AAAA,YAEzDF;AAAA;AAAA;AAAA;AAAA,YAIAC;AAAA;AAAA;AAAA;AAAA,OAIL,CAAC,EAAE,SAASosG,IAAIpuG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,OAAOM,EAAE,QAAQC,CAAC,EAAE,EAAE,EAAEA,EAAE,MAAM,EAAE,EAAE,EAAE,OAAO,GAAG0B,EAAE6kB,EAAE,cAAcxmB,EAAE,KAAK,EAAE,CAAC4B,EAAEC,EAAES,EAAEC,CAAC,EAAE23C,EAAE,mBAAmBl6C,EAAEC,CAAC,EAAEuC,EAAEu8F,GAAG,CAAC,OAAO,CAAC,EAAE9+F,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM,CAACiC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEY,EAAEs8F,GAAG,CAAC,OAAO,CAAC,EAAE/+F,CAAC,EAAE,QAAQJ,EAAE,MAAM,CAAC,MAAM,CAAC4mB,EAAE,cAAcxmB,EAAE,KAAK,EAAEsC,EAAEA,CAAC,CAAC,CAAC,CAAC,EAAE,GAAG1C,EAAE,mBAAmB,CAACI,EAAEC,CAAC,CAAC,GAAGD,EAAE,QAAQ,SAAS,CAAC,IAAIiH,EAAErH,EAAE,SAASK,EAAE,MAAM,EAAEwE,EAAE7E,EAAE,WAAWI,CAAC,EAAEqE,EAAEg0F,GAAGpxF,EAAExC,EAAEzE,EAAE,MAAM6B,EAAE,EAAES,EAAEC,EAAEvC,EAAE,MAAM2B,CAAC,EAAE,OAAO/B,EAAE,eAAegC,EAAE5B,EAAE,MAAMqE,EAAE,MAAM,CAAC,CAAC,IAAI3B,EAAE,IAAImrG,IAAG,EAAEtrG,EAAE,CAACV,EAAES,CAAC,EAAEtC,EAAE,KAAK,EAAE4D,EAAEhE,EAAE,gBAAgB8C,EAAE,CAACD,EAAED,CAAC,EAAEC,EAAE,KAAK,EAAE,EAAEs8F,GAAG,CAAC,OAAO,CAAC,EAAEn7F,CAAC,EAAE,QAAQhE,EAAE,MAAM,CAAC,MAAMgC,CAAC,CAAC,CAAC,EAAE,OAAOhC,EAAE,8BAA8B4C,CAAC,EAAE5C,EAAE,8BAA8B6C,CAAC,EAAE7C,EAAE,8BAA8BgE,CAAC,EAAE,CAAC,CAAC,IAAImqG,IAAG,CAAC,WAAWlvF,GAAG,YAAY,QAAQ,WAAWivF,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYxtG,EAAEZ,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,SAAS,EAAE,KAAK,YAAYA,EAAE,KAAK,KAAKA,EAAE,OAAO,IAAI,EAAEw1F,GAAG,KAAK,IAAI,EAAEn1F,EAAEguG,IAAIztG,EAAE,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA,UAE93B;AAAA;AAAA,oDAE0CA,EAAE;AAAA,oCAClBP;AAAA;AAAA,KAE/B,CAAC,EAAE,SAASguG,IAAIvuG,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,UAAU,UAAU,UAAU,SAAS,EAAEI,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEP,EAAE,OAAOO,IAAIA,IAAI,EAAED,EAAE,KAAK,OAAO,EAAEA,EAAE,KAAK,GAAGJ,EAAEK,IAAI,EAAE,OAAOD,EAAE,KAAK,CAAC,CAAC,SAASkuG,GAAGxuG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU0B,CAAC,EAAE3B,EAAE4B,EAAE4kB,EAAE,eAAe,EAAEvmB,EAAE,KAAK,EAAE,GAAG,GAAGka,EAAE,EAAE,IAAI,OAAO,EAAE,CAAC,IAAI1V,EAAE7E,EAAE,SAAS,EAAE,MAAM,EAAEyE,EAAEpE,EAAE,MAAM2B,GAAG,QAAQ0C,EAAE,EAAEA,EAAEG,EAAE,OAAO,EAAEH,EAAE,CAAC,IAAIC,EAAEE,EAAEH,GAAGkiB,EAAE,OAAOjiB,GAAGF,EAAE,GAAGE,GAAG,EAAE,IAAI,6BAA6BA,mBAAmBF,EAAE,IAAI,CAAC,CAAC,CAAC,IAAIxC,EAAEq4C,EAAE,aAAa,yBAAyBj6C,EAAE,EAAE2B,EAAED,CAAC,EAAEW,EAAEkkB,EAAE,cAAc,EAAE,KAAK,EAAEjkB,EAAE,CAAC,EAAEC,EAAEu8F,GAAG,CAAC,OAAO,CAAC,EAAE9+F,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM,CAACiC,EAAE,UAAUA,EAAE,UAAUA,EAAE,QAAQA,EAAE,SAAS,CAAC,CAAC,CAAC,EAAEY,EAAEs8F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQn/F,EAAE,MAAM,CAAC,MAAM,CAACiC,EAAE,UAAUS,EAAET,EAAE,SAAS,CAAC,CAAC,CAAC,EAAEU,EAAE,KAAKC,CAAC,EAAED,EAAE,KAAKE,CAAC,EAAE,IAAIC,EAAE,CAACb,EAAE,UAAUA,EAAE,UAAUS,EAAET,EAAE,UAAUA,EAAE,SAAS,EAAE,GAAGjC,EAAE,mBAAmB,CAACK,EAAE,CAAC,CAAC,GAAGA,EAAE,QAAQ,SAAS,CAAC,IAAIwE,EAAE7E,EAAE,WAAW6C,CAAC,EAAE4B,EAAEzE,EAAE,WAAW4C,CAAC,EAAE8B,EAAEg0F,GAAGj0F,EAAEI,EAAE/B,CAAC,EAAE,OAAOH,EAAE,QAAQgC,GAAG3E,EAAE,8BAA8B2E,CAAC,CAAC,EAAE3E,EAAE,eAAeiC,EAAE,YAAYyC,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIV,EAAE,IAAIoqG,IAAGxrG,EAAE,MAAME,CAAC,EAAE,EAAE9C,EAAE,gBAAgBgE,EAAE,CAACpB,EAAEC,CAAC,EAAED,EAAE,KAAK,EAAED,EAAE,KAAK,CAAC,EAAE,IAAI0E,EAAE83F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQn/F,EAAE,MAAM,CAAC,MAAMiC,EAAE,WAAW,CAAC,CAAC,EAAE,OAAOU,EAAE,QAAQkC,GAAG7E,EAAE,8BAA8B6E,CAAC,CAAC,EAAEwC,CAAC,CAAC,IAAIknG,IAAG,CAAC,WAAWvvF,GAAG,YAAY,QAAQ,WAAWsvF,EAAE,EAAME,IAAI,uBAAuBC,IAAI;AAAA;AAAA,EAE1wCC,IAAIhQ,GAAG,CAAC,UAAU8P,IAAI,gBAAgBC,IAAI,cAAc9V,GAAG,MAAM,MAAM,CAAC,EAAEgW,IAAG,CAAC,WAAWzvF,GAAG,YAAY,QAAQ,WAAWwvF,GAAG,EAAME,IAAI,wBAAwBC,IAAI;AAAA;AAAA,EAEpKC,IAAIpQ,GAAG,CAAC,UAAUkQ,IAAI,gBAAgBC,IAAI,MAAM,OAAO,cAAcjW,EAAE,CAAC,EAAEmW,IAAG,CAAC,WAAW5vF,GAAG,YAAY,QAAQ,WAAW2vF,GAAG,EAAE,SAASE,IAAIlvG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMM,CAAC,EAAE,EAAE,OAAOosG,GAAGpsG,EAAE,GAAGJ,CAAC,CAAC,CAAC,IAAIivG,IAAG,CAAC,WAAW5vF,GAAG,YAAY,QAAQ,WAAW2vF,GAAG,EAAME,IAAI,wCAAwCC,IAAI1Q,GAAG,CAAC,UAAUyQ,IAAI,MAAM,MAAM,CAAC,EAAEE,IAAG,CAAC,WAAW7vF,GAAG,YAAY,QAAQ,WAAW4vF,GAAG,EAAME,IAAI,0BAA0BC,IAAI7Q,GAAG,CAAC,UAAU4Q,IAAI,MAAM,MAAM,CAAC,EAAEE,IAAG,CAAC,WAAW/vF,GAAG,YAAY,QAAQ,WAAW8vF,GAAG,EAAME,IAAI,0BAA0BC,IAAIhR,GAAG,CAAC,UAAU+Q,IAAI,MAAM,MAAM,CAAC,EAAEE,IAAG,CAAC,WAAWjwF,GAAG,YAAY,QAAQ,WAAWgwF,GAAG,EAAME,IAAI,uBAAuBC,IAAI;AAAA;AAAA,EAE1qBC,IAAInR,GAAG,CAAC,UAAUiR,IAAI,gBAAgBC,IAAI,cAAc/W,GAAG,MAAM,MAAM,CAAC,EAAEiX,IAAG,CAAC,WAAWnwF,GAAG,YAAY,QAAQ,WAAWkwF,GAAG,EAAME,IAAI,wBAAwBC,IAAI;AAAA;AAAA,EAEpKC,IAAIvR,GAAG,CAAC,UAAUqR,IAAI,gBAAgBC,IAAI,cAAclX,GAAG,MAAM,MAAM,CAAC,EAAEoX,IAAG,CAAC,WAAWtwF,GAAG,YAAY,QAAQ,WAAWqwF,GAAG,EAAE,SAASE,IAAIrwG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,MAAMM,EAAE,KAAKC,EAAE,IAAI,CAAC,EAAEL,EAAE,EAAE+4F,GAAG34F,EAAEC,EAAE,CAAC,EAAE,OAAO,EAAE,eAAe,CAAC,EAAE,MAAM,EAAE,UAAU,CAAC,CAAC,CAAC,IAAI+vG,IAAG,CAAC,WAAWvwF,GAAG,YAAY,QAAQ,WAAWswF,GAAG,EAAME,IAAI7R,GAAG;AAAA;AAAA,EAEnU8R,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQJC,IAAI9R,GAAG,CAAC,UAAU4R,IAAI,gBAAgBC,IAAI,cAActX,EAAE,CAAC,EAAEwX,IAAG,CAAC,WAAW1wF,GAAG,YAAY,QAAQ,WAAWywF,GAAG,EAAME,IAAIjS,GAAG;AAAA;AAAA,EAE9HkS,IAAIjS,GAAG,CAAC,UAAUgS,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW5wF,GAAG,YAAY,QAAQ,WAAW2wF,GAAG,EAAME,IAAI,sCAAsCC,IAAI;AAAA;AAAA;AAAA;AAAA,EAIhIC,IAAIpS,GAAG,CAAC,UAAUkS,IAAI,gBAAgBC,IAAI,MAAM,MAAM,CAAC,EAAEE,IAAG,CAAC,WAAW/wF,GAAG,YAAY,QAAQ,WAAW8wF,GAAG,EAAME,IAAI,6BAA6BC,IAAIxS,GAAG,CAAC,UAAUuS,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWjxF,GAAG,YAAY,QAAQ,WAAWgxF,GAAG,EAAME,IAAI,sCAAsCC,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA,EAKpRC,IAAI3S,GAAG,CAAC,UAAUyS,IAAI,gBAAgBC,IAAI,MAAM,MAAM,CAAC,EAAEE,IAAG,CAAC,WAAWpxF,GAAG,YAAY,QAAQ,WAAWmxF,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY3wG,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY,CAAC,EAAE,IAAIC,EAAE9B,EAAE+B,EAAEnB,EAAE,GAAG,EAAE,KAAK,YAAYA,EAAE,IAAIoB,EAAE,EAAE,SAAS,cAAc3B,WAAWwB,IAAI,GAAGG,EAAE,eAAe,KAAKH,IAAI,EAAEG,EAAE,QAAQ,KAAKA,EAAE,WAAW,eAAeH,OAAO,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAS3VC,WAAWA;AAAA;AAAA,oCAECC;AAAA;AAAA;AAAA;AAAA;AAAA,0BAKVC;AAAA;AAAA;AAAA,KAGrB,CAAC,EAAMwvG,IAAG,KAAK,CAAC,YAAY5wG,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,IAAIC,EAAE9B,EAAE+B,EAAEnB,EAAE,GAAG,EAAE,KAAK,YAAYA,EAAE,IAAIoB,EAAE,EAAE,SAAS,cAAc3B,WAAWwB,IAAI,GAAGG,EAAE,eAAe,KAAKH,IAAI,EAAEG,EAAE,QAAQ,KAAKA,EAAE,WAAW,eAAeH,OAAO,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAQpR,KAAK,YAAY;AAAA,gCACjB,KAAK,YAAY;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,iCAehBC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAWRA,WAAWA;AAAA;AAAA;AAAA,6DAGyBC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0CAqBnBC;AAAA;AAAA;AAAA,KAGrC,CAAC,EAAMyvG,IAAI3xG,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,YAAY,EAAE,KAAK,EAAE,MAAM0B,EAAE,KAAKC,CAAC,EAAE5B,EAAE6B,EAAEsY,EAAE,EAAE,QAAQ,0BAA0B,EAAE,IAAIi3F,IAAGnxG,EAAE,MAAM,EAAE,EAAE0B,EAAEC,CAAC,EAAE,IAAIuvG,IAAGlxG,EAAE,MAAM,EAAE,EAAE0B,EAAEC,CAAC,EAAE,OAAOhC,EAAE,gBAAgBiC,EAAE,CAAC5B,CAAC,EAAEA,EAAE,KAAK,CAAC,EAAEqxG,IAAG,CAAC,WAAWpxF,GAAG,YAAY,QAAQ,WAAWmxF,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY/wG,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,aAAa,cAAc,IAAI,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,YAAYjB,EAAE,KAAK,MAAMA,EAAE,GAAG,KAAK,YAAYZ,EAAE,KAAK,KAAK,EAAE,KAAK,MAAMK,EAAE,KAAK,KAAKwB,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAQvd,KAAK;AAAA,oDACiB7B;AAAA,yCACX,KAAK;AAAA,0BACpBA;AAAA;AAAA;AAAA,sCAGY,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAelBK,qBAAqB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yCAOLA;AAAA,0BACfwB;AAAA;AAAA;AAAA;AAAA,0CAIgBA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAcrC,CAAC,EAAM+vG,IAAI9xG,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,EAAE,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,YAAY0B,EAAE,KAAKC,EAAE,MAAMC,EAAE,KAAKS,CAAC,EAAEtC,EAAEuC,EAAE,IAAIgvG,IAAGtxG,EAAE,MAAM0B,EAAEC,EAAEC,EAAES,CAAC,EAAE,OAAO1C,EAAE,gBAAgB2C,EAAE,CAACtC,EAAE,EAAE,CAAC,EAAEA,EAAE,KAAK,CAAC,EAAEwxG,IAAG,CAAC,WAAWtxF,GAAG,YAAY,QAAQ,WAAWqxF,GAAG,EAAE,SAASE,IAAGhyG,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEumB,EAAE,cAAc,CAAC,EAAE9kB,EAAE8kB,EAAE,cAAc9mB,EAAE,KAAK,EAAEO,EAAE0B,EAAEo9F,GAAG,CAAC,OAAO,CAAC,EAAEr/F,CAAC,EAAE,MAAM,CAAC,MAAM,CAACgC,EAAEzB,CAAC,CAAC,EAAE,QAAQD,CAAC,CAAC,EAAE4B,EAAEw9F,GAAGz9F,EAAEjC,EAAE,MAAM,MAAMM,CAAC,EAAE,EAAE++F,GAAG,CAAC,OAAO,CAAC,EAAEn9F,CAAC,EAAE,MAAM,CAAC,MAAMhC,CAAC,EAAE,QAAQI,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B2B,CAAC,EAAE3B,EAAE,8BAA8B4B,CAAC,EAAE,CAAC,CAAC,SAAS+vG,GAAGjyG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,iBAAiB,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE4kB,EAAE,eAAe,EAAEvmB,EAAE,KAAK,EAAE4B,EAAED,EAAEU,EAAE43C,EAAE,mBAAmBr4C,EAAEF,CAAC,EAAEY,EAAED,GAAG,KAAKE,EAAE5C,EAAE,mBAAmB,CAACK,CAAC,CAAC,EAAEwC,EAAExC,EAAE,GAAGsC,EAAE,CAAC,GAAGC,EAAE,CAAC,IAAI6B,EAAEzE,EAAE,QAAQ,IAAI6C,EAAE,MAAM,EAAE,OAAO6B,EAAE,IAAI,MAAM3C,CAAC,EAAE,QAAQuF,EAAE,EAAEA,EAAE5C,EAAE,OAAO4C,IAAI5C,EAAE4C,GAAGjH,EAAE,MAAMqC,EAAE4E,IAAI,IAAI3C,EAAEi2F,GAAGn2F,EAAEpE,EAAE,MAAMA,EAAE,MAAMqC,EAAEgC,CAAC,EAAE7B,EAAE7C,EAAE,eAAe0E,EAAErE,EAAE,KAAK,EAAE,IAAIuE,EAAE5E,EAAE,QAAQ,IAAI6C,EAAE,MAAM,EAAE+B,EAAE,OAAOD,CAAC,MAAM9B,EAAE+8F,GAAGv/F,EAAEqC,EAAE1C,CAAC,EAAEiC,EAAEq4C,EAAE,iBAAiBr4C,EAAE,OAAOF,CAAC,CAAC,CAACu4C,EAAE,2BAA2B,MAAMr4C,EAAEF,CAAC,EAAE,GAAG,CAACe,EAAEkB,CAAC,EAAEs2C,EAAE,0BAA0Bz3C,EAAE,MAAMZ,CAAC,EAAE,EAAEa,EAAE,IAAI,EAAEw3C,EAAE,qBAAqBx3C,EAAEd,CAAC,GAAG,IAAIqF,EAAE,GAAGzE,EAAE,CAAC,IAAI6B,EAAEzE,EAAE,QAAQ,IAAI6C,EAAE,MAAM,EAAE,OAAO6B,EAAEu0F,GAAGx0F,EAAEmiB,EAAE,cAAc5iB,CAAC,EAAE,EAAE3D,EAAE,KAAK,EAAEgH,EAAErH,EAAE,eAAe,EAAEK,EAAE,KAAK,EAAE,IAAIsE,EAAE3E,EAAE,QAAQ,IAAIqH,EAAE,MAAM,EAAE1C,EAAE,OAAOD,CAAC,MAAM2C,EAAEyqG,IAAGjvG,EAAEmB,EAAE,EAAEhE,CAAC,EAAE,OAAO2C,GAAG3C,EAAE,8BAA8B6C,CAAC,EAAEwE,CAAC,CAAC,IAAI2qG,IAAG,CAAC,WAAWxxF,GAAG,YAAY,QAAQ,WAAWuxF,EAAE,EAAME,IAAIzU,GAAG;AAAA;AAAA,EAE33C0U,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA,IAKFxU,GAAG;AAAA;AAAA,EAELyU,IAAIzT,GAAG,CAAC,UAAUuT,IAAI,gBAAgBC,IAAI,cAAchZ,EAAE,CAAC,EAAEkZ,IAAG,CAAC,WAAW3xF,GAAG,YAAY,QAAQ,WAAW0xF,GAAG,EAAE,SAASE,IAAIvyG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAEwtF,GAAGxtF,EAAE,SAAS,EAAE,GAAG,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,CAAC,EAAE5B,EAAE6B,EAAE,EAAE2kB,EAAE,OAAO0zB,EAAE,+BAA+B,EAAEr4C,CAAC,EAAE,IAAI,wEAAwE,oBAAoBA,IAAI,EAAE,IAAIS,EAAE43C,EAAE,kBAAkBj6C,EAAE,MAAM,EAAE,EAAE4B,EAAEF,EAAEC,CAAC,EAAE,GAAGU,EAAE,cAAc,GAAGA,EAAE,eAAe,GAAGkkB,EAAE,YAAYlkB,EAAE,QAAQA,EAAE,QAAQ,EAAE,OAAOk7F,GAAG,CAAC,OAAO,CAAC,EAAEv9F,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,IAAI2C,EAAE,IAAIwgG,GAAGzgG,EAAE,MAAM,EAAE,EAAE,OAAO1C,EAAE,gBAAgB2C,EAAE,CAACtC,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAIiyG,IAAG,CAAC,WAAW5xF,GAAG,YAAY,QAAQ,WAAW2xF,GAAG,EAAE,SAASE,IAAIzyG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,WAAWC,EAAE,gBAAgBC,CAAC,EAAE7B,EAAEsC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEC,EAAE23C,EAAE,kBAAkBj6C,EAAE,MAAM,EAAE,EAAEqC,EAAEX,EAAEE,EAAED,CAAC,EAAEY,EAAE,IAAIwgG,GAAGzgG,EAAE,MAAM,EAAE,EAAE,OAAO3C,EAAE,gBAAgB4C,EAAE,CAACvC,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAImyG,IAAG,CAAC,WAAW5xF,GAAG,YAAY,QAAQ,WAAW2xF,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY7xG,EAAE,CAAC,KAAK,cAAc,CAAC,KAAK,QAAQ,EAAE,KAAK,YAAYA,EAAE,QAAQ,IAAIZ,EAAEY,EAAE,aAAa,EAAEA,EAAE,YAAYP,EAAEO,EAAE,eAAeiB,EAAEjB,EAAE,sBAAsBkB,EAAElB,EAAE,qBAAqBmB,EAAEF,EAAE,EAAEjB,EAAE,QAAQ,IAAIoB,EAAEF,EAAE,EAAElB,EAAE,QAAQ,KAAK,EAAEiB,EAAEC,EAAE,EAAE,KAAK,SAAS;AAAA,iCACjrCC,MAAMC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAcPH;AAAA,kBACdxB;AAAA,gDAC8BL;AAAA;AAAA,oCAEZY,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,kCAKJkB;AAAA,kDACgB;AAAA;AAAA,sCAEZlB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAOR;AAAA;AAAA;AAAA;AAAA,qCAIKkB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAQhC,CAAC,EAAE4wG,IAAG,KAAK,CAAC,YAAY9xG,EAAE,CAAC,KAAK,cAAc,CAAC,KAAK,QAAQ,EAAE,KAAK,YAAYA,EAAE,QAAQ,IAAIZ,EAAEY,EAAE,YAAY,EAAEA,EAAE,aAAaP,EAAEO,EAAE,YAAYiB,EAAEjB,EAAE,cAAckB,EAAElB,EAAE,eAAemB,EAAEnB,EAAE,cAAcoB,EAAEpB,EAAE,qBAAqB,EAAEA,EAAE,sBAAsB8B,EAAE9B,EAAE,qBAAqB,EAAEoB,EAAE,EAAEpB,EAAE,QAAQ,MAAMgC,EAAE,EAAE,EAAEhC,EAAE,QAAQ,IAAIiC,EAAEH,EAAE,EAAE9B,EAAE,QAAQ,KAAKkC,EAAEd,EAAE,EAAEU,EAAE,EAAE,KAAK,SAAS;AAAA,iCAC5U,MAAME,MAAMC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAiBbb;AAAA,mBACbH;AAAA,gDAC6B7B;AAAA;AAAA,oCAEZY,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,kCAKJ;AAAA,sBACZkB;AAAA,kDAC4B;AAAA;AAAA,sCAEZlB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oCAMJ8B;AAAA,wBACZX;AAAA,oDAC4B1B;AAAA;AAAA,wCAEZO,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAORkC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAMT,OAAOJ;AAAA,yBACPA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KASpB,CAAC,EAAE,SAASiwG,IAAI7yG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,MAAM,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,WAAW0B,EAAE,QAAQC,EAAE,IAAIC,EAAE,gBAAgBS,CAAC,EAAEtC,EAAEuC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEC,EAAE03C,EAAE,kBAAkB,EAAE,MAAMv4C,EAAEC,EAAEW,EAAEV,EAAES,CAAC,EAAEG,EAAE,IAAIugG,GAAGxgG,EAAE,MAAM,EAAE,EAAEE,EAAE9C,EAAE,gBAAgB6C,EAAE,CAAC,CAAC,EAAE,EAAE,KAAK,EAAEmB,EAAE,IAAI0uG,IAAG9vG,CAAC,EAAE,EAAE5C,EAAE,gBAAgBgE,EAAE,CAAC3D,EAAEyC,CAAC,EAAE,EAAE,KAAK,EAAE,OAAO9C,EAAE,8BAA8B8C,CAAC,EAAE,CAAC,CAAC,IAAI8vG,IAAG,CAAC,WAAW/xF,GAAG,YAAY,QAAQ,WAAW8xF,GAAG,EAAE,SAASE,IAAI/yG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE,EAAE0B,EAAE,EAAE8rF,GAAG,CAAC,EAAE,CAAC,EAAE,aAAa,EAAE,GAAG,CAAC,WAAW7rF,EAAE,QAAQC,EAAE,IAAIS,EAAE,gBAAgBC,CAAC,EAAEvC,EAAEwC,EAAE03C,EAAE,kBAAkBv4C,EAAE,MAAMC,EAAEC,EAAE,EAAES,EAAEC,CAAC,EAAEE,EAAE,GAAGC,EAAE,IAAIqgG,GAAGvgG,EAAE,MAAMC,CAAC,EAAEmB,EAAEhE,EAAE,gBAAgB8C,EAAE,CAACf,CAAC,EAAEA,EAAE,KAAK,EAAE,EAAE,IAAI0wG,IAAG7vG,CAAC,EAAEyE,EAAErH,EAAE,gBAAgB,EAAE,CAACK,EAAE2D,CAAC,EAAEjC,EAAE,KAAK,EAAE,OAAO/B,EAAE,8BAA8BgE,CAAC,EAAEqD,CAAC,CAAC,IAAIyrG,IAAG,CAAC,WAAWnyF,GAAG,YAAY,QAAQ,WAAWkyF,GAAG,EAAE,SAASE,IAAGjzG,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAE,IAAI8iG,GAAGnjG,EAAE,MAAM,EAAE,EAAE,EAAEI,EAAE,gBAAgBC,EAAE,CAACP,CAAC,EAAE,SAAS,EAAEO,EAAE,IAAI8iG,GAAGnjG,EAAE,MAAM,GAAG,GAAG,CAAC,EAAE,IAAI,EAAEI,EAAE,gBAAgBC,EAAE,CAACP,CAAC,EAAE,SAAS,EAAE,MAAM,CAAC,EAAE,CAAC,CAAC,CAAC,IAAIkzG,IAAG,CAAC,WAAWlyF,GAAG,YAAY,QAAQ,WAAW,CAAC,CAAC,OAAOhhB,EAAE,MAAM,EAAE,QAAQE,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEI,CAAC,EAAEN,EAAE,CAAC,WAAWO,EAAE,QAAQ,EAAE,IAAI,EAAE,oBAAoB0B,CAAC,EAAE,EAAEC,EAAEhC,EAAE4mB,EAAE,OAAOxmB,EAAE,MAAM,SAAS,EAAE,IAAI,uDAAuDA,EAAE,MAAM,SAAS,EAAE,IAAI6B,EAAE,CAAC,EAAE,CAAC,EAAE2kB,EAAE,OAAO0zB,EAAE,+BAA+B,EAAEr4C,CAAC,EAAE,IAAI,wEAAwE,oBAAoBA,IAAI,EAAE,IAAIS,EAAE43C,EAAE,kBAAkBl6C,EAAE,MAAMC,EAAE,EAAE4B,EAAE,CAAC,EAAE,CAACU,EAAEC,CAAC,EAAEmwG,IAAG3yG,EAAE2B,EAAEW,EAAEV,CAAC,EAAE,MAAM,CAACW,EAAEC,CAAC,CAAC,CAAC,EAAE,SAASqwG,IAAGnzG,EAAE,EAAEE,EAAEI,EAAE,CAAC,IAAIC,EAAEumB,EAAE,cAAc,CAAC,EAAE9kB,EAAE8kB,EAAE,cAAc9mB,EAAE,KAAK,EAAEO,EAAE0B,EAAEo9F,GAAG,CAAC,OAAO,CAAC,EAAEr/F,CAAC,EAAE,MAAM,CAAC,MAAM,CAACgC,EAAEzB,CAAC,CAAC,EAAE,QAAQD,CAAC,CAAC,EAAE4B,EAAEw9F,GAAGz9F,EAAE,UAAU,OAAO3B,CAAC,EAAE,EAAE++F,GAAG,CAAC,OAAO,CAAC,EAAEn9F,CAAC,EAAE,MAAM,CAAC,MAAMhC,CAAC,EAAE,QAAQI,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B2B,CAAC,EAAE3B,EAAE,8BAA8B4B,CAAC,EAAE,CAAC,CAAC,IAAIkxG,IAAG,CAAC,WAAWnyF,GAAG,YAAY,QAAQ,WAAW,CAAC,CAAC,OAAOjhB,EAAE,MAAM,EAAE,QAAQE,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEI,CAAC,EAAEN,EAAE,CAAC,SAASO,EAAE,KAAK,CAAC,EAAE,EAAE,EAAEL,EAAE+B,EAAE3B,EAAE,MAAM,OAAO4B,EAAE4kB,EAAE,eAAe,EAAExmB,EAAE,KAAK,EAAE6B,EAAED,EAAEU,EAAE43C,EAAE,mBAAmBr4C,EAAEF,CAAC,EAAEY,EAAED,GAAG,KAAKE,EAAE,EAAE,mBAAmB,CAACxC,CAAC,CAAC,EAAEyC,EAAE,CAAC,EAAEC,EAAE1C,EAAE,GAAGuC,EAAE,CAAC,GAAGC,EAAE,CAAC,IAAI8B,EAAE,EAAE,QAAQ,IAAI5B,EAAE,MAAM,EAAE,OAAO6B,EAAE,IAAI,MAAM5C,CAAC,EAAE,QAAQ+C,EAAE,EAAEA,EAAEH,EAAE,OAAOG,IAAIH,EAAEG,GAAG1E,EAAE,MAAMsC,EAAEoC,IAAI,IAAIF,EAAEg2F,GAAGl2F,EAAEtE,EAAE,MAAMA,EAAE,MAAMsC,EAAEiC,CAAC,EAAE7B,EAAE,EAAE,eAAe6B,EAAEvE,EAAE,KAAK,EAAE,IAAIkH,EAAE,EAAE,QAAQ,IAAIxE,EAAE,MAAM,EAAEwE,EAAE,OAAO1C,CAAC,MAAM9B,EAAE88F,GAAGx/F,EAAEsC,EAAE,CAAC,EAAEG,EAAE,KAAKC,CAAC,EAAEb,EAAEq4C,EAAE,iBAAiBr4C,EAAE,OAAOF,CAAC,CAAC,CAACu4C,EAAE,2BAA2B,MAAMr4C,EAAEF,CAAC,EAAE,GAAG,CAACiC,EAAE,CAAC,EAAEs2C,EAAE,0BAA0Bx3C,EAAE,MAAMb,CAAC,EAAEoF,EAAErD,EAAE3D,IAAIgH,EAAEizC,EAAE,qBAAqBt2C,EAAEhC,CAAC,GAAG,IAAI6C,EAAEouG,IAAGnwG,EAAE,EAAEuE,EAAE,CAAC,EAAE,QAAQ5C,KAAK5B,EAAE,EAAE,8BAA8B4B,CAAC,EAAE,OAAOI,CAAC,CAAC,EAAE,SAASsuG,IAAIrzG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE4kB,EAAE,eAAe,EAAEvmB,EAAE,KAAK,EAAE4B,EAAED,EAAEU,EAAE43C,EAAE,mBAAmBr4C,EAAEF,CAAC,EAAEY,EAAEtC,EAAEqC,GAAG,OAAOC,EAAEq9F,GAAG,CAAC,OAAO,CAAC,EAAE3/F,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAK0C,CAAC,CAAC,CAAC,EAAET,EAAEq4C,EAAE,iBAAiBr4C,EAAE,OAAO5B,EAAE,MAAM,MAAM,GAAGi6C,EAAE,2BAA2B,MAAMr4C,EAAEF,CAAC,EAAE,GAAG,CAACa,EAAEC,CAAC,EAAEy3C,EAAE,0BAA0B33C,EAAE,MAAMV,CAAC,EAAEa,EAAE8jB,EAAE,cAAc/jB,CAAC,EAAEmB,EAAEm7F,GAAG,CAAC,OAAO,CAAC,EAAEx8F,CAAC,EAAE,QAAQ3C,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG8C,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE08F,GAAGx7F,EAAEA,EAAE,MAAM,MAAMhE,CAAC,EAAEqH,EAAE,GAAG,EAAE,CAAC,IAAIxC,EAAEy1C,EAAE,qBAAqB13C,EAAEZ,CAAC,EAAEqF,EAAE83F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQn/F,EAAE,MAAM,CAAC,MAAM6E,CAAC,CAAC,CAAC,CAAC,MAAMwC,EAAE83F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQn/F,EAAE,MAAM,CAAC,MAAM4C,CAAC,CAAC,CAAC,EAAE,OAAO5C,EAAE,8BAA8BgE,CAAC,EAAEhE,EAAE,8BAA8B,CAAC,EAAE0C,GAAG,MAAM1C,EAAE,8BAA8B2C,CAAC,EAAE0E,CAAC,CAAC,IAAI+rG,IAAG,CAAC,WAAWpyF,GAAG,YAAY,QAAQ,WAAWmyF,GAAG,EAAME,IAAI7V,GAAG;AAAA;AAAA,EAE/qG8V,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA,IAKF5V,GAAG;AAAA;AAAA,EAEL6V,IAAI7U,GAAG,CAAC,UAAU2U,IAAI,gBAAgBC,IAAI,cAAcna,EAAE,CAAC,EAAEqa,IAAG,CAAC,WAAWvyF,GAAG,YAAY,QAAQ,WAAWsyF,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY7yG,EAAEZ,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAYA,EAAE,IAAI,CAAC0C,EAAE,IAAIA,EAAE,GAAG9B,EAAE,GAAG8B,EAAE,EAAE,EAAE,IAAIrC,EAAEO,EAAE,OAAOiB,EAAE2zF,GAAGn1F,CAAC,EAAEyB,EAAE9B,EAAE,IAAI0C,GAAGA,EAAE,EAAE,EAAE,KAAK,GAAG,EAAEX,EAAE/B,EAAE,IAAI,CAAC0C,EAAE,IAAIA,EAAE,GAAG9B,EAAE,EAAE,EAAE,KAAK,GAAG,EAAEoB,EAAE,CAAC,YAAY,YAAY,YAAY,WAAW,EAAE,MAAM,EAAE3B,CAAC,EAAE,EAAE,IAAI,UAAU,EAAE,EAAE,GAAGA,IAAI,EAAE,CAAC,KAAK,SAAS;AAAA,sBACvYyB;AAAA,oBACFC;AAAA;AAAA;AAAA;AAAA;AAAA,wCAKoB;AAAA;AAAA,4CAEI;AAAA;AAAA;AAAA;AAAA,QAIpC,MAAM,CAAC,KAAK,SAAS;AAAA,QACrBF,aAAaA,KAAKC;AAAA,QAClBD,WAAWA,KAAKE;AAAA;AAAA;AAAA,UAGdF;AAAA,8BACoBxB;AAAA;AAAA,iDAEmB;AAAA;AAAA,qDAEI;AAAA;AAAA;AAAA,UAG3CwB;AAAA,yBACeG;AAAA;AAAA,KAEpB,CAAC,EAAM0xG,IAAG,KAAK,CAAC,YAAY9yG,EAAEZ,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAYA,EAAE,IAAI,CAAC8C,EAAEkB,IAAIlB,EAAE,GAAGlC,EAAEoD,GAAGlB,EAAE,EAAE,EAAE,IAAIzC,EAAEO,EAAE,OAAOiB,EAAE2zF,GAAGn1F,CAAC,EAAEyB,EAAE9B,EAAE,IAAI8C,GAAGA,EAAE,EAAE,EAAE,KAAK,GAAG,EAAEf,EAAE/B,EAAE,IAAI,CAAC8C,EAAEkB,IAAIlB,EAAE,GAAGlC,EAAEoD,EAAE,EAAE,KAAK,GAAG,EAAEhC,EAAE+4F,GAAG,KAAK16F,CAAC,EAAE,EAAE06F,GAAG,SAAS16F,CAAC,EAAEqC,EAAE,GAAGV,EAAE3B,EAAE,QAAQ,KAAK,YAAYA,EAAE,KAAK,EAAEA,IAAI,EAAE,SAAS,QAAQ,EAAE,MAAM,EAAE,EAAE,KAAK,KAAKuC,EAAE,IAAI,UAAU,EAAE,EAAEC,EAAE,GAAG,GAAGxC,IAAI,EAAE,CAAC,IAAIyC,EAAE;AAAA,UACpYjB;AAAA;AAAA,0CAEgCe;AAAA;AAAA,8CAEIA;AAAA;AAAA;AAAA,QAGtCC,EAAE;AAAA,UACAhB;AAAA,UACAiB;AAAA,sCAC4B,EAAE,KAAK,OAAO;AAAA,UAC1Cd,EAAE3B,EAAE;AAAA,aACDqC;AAAA,YACDI;AAAA,wCAC4B,EAAE,KAAK,OAAO;AAAA;AAAA,OAE/C,KAAK,CAAC,IAAIA,EAAE;AAAA,UACTjB;AAAA,UACAA,UAAUA;AAAA,UACVA,WAAWA;AAAA,UACXA;AAAA;AAAA,6CAEmCe;AAAA,kDACKA;AAAA;AAAA,QAE1CC,EAAE;AAAA,UACAhB;AAAA,UACAiB;AAAA,sCAC4B,EAAE,KAAK,OAAO;AAAA,UAC1Cd,EAAE3B,EAAE;AAAA,aACDqC;AAAA,YACDI;AAAA,wCAC4B,EAAE,KAAK,OAAO;AAAA;AAAA;AAAA,UAG5Cd,EAAE3B,EAAE;AAAA,aACD2B,EAAE3B,EAAE,QAAQ,KAAK,YAAYA,EAAE;AAAA,YAChCyC;AAAA,wCAC4B,EAAE,KAAK,OAAO;AAAA,YAC1Cd,EAAE3B,EAAE;AAAA,eACDqC;AAAA,cACDI;AAAA,0CAC4B,EAAE,KAAK,OAAO;AAAA;AAAA;AAAA,OAGjD,CAAC,KAAK,SAAS;AAAA,cACRjB,aAAaA,KAAKC;AAAA,cAClBD,WAAWA,KAAKE;AAAA;AAAA;AAAA,UAGpBF;AAAA;AAAA,UAEAgB;AAAA;AAAA;AAAA,KAGL,CAAC,EAAM8wG,IAAI,CAAC,CAAC,OAAO7zG,EAAE,QAAQ,EAAE,MAAME,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEI,CAAC,EAAEN,EAAE,CAAC,SAASO,EAAE,KAAK,CAAC,EAAEL,EAAE,EAAEua,EAAE,EAAE,QAAQ,6BAA6B,EAAE,IAAIm5F,IAAGtzG,EAAE,MAAMC,EAAE,CAAC,EAAE,IAAIozG,IAAGrzG,EAAE,MAAMC,EAAE,CAAC,EAAE,OAAO,EAAE,gBAAgB,EAAE,CAACD,CAAC,EAAEA,EAAE,KAAK,CAAC,EAAEwzG,IAAG,CAAC,WAAW1yF,GAAG,YAAY,QAAQ,WAAWyyF,GAAG,EAAME,IAAI;AAAA,qBACzPC,IAAI;AAAA;AAAA;AAAA,IAGrBpW,GAAG;AAAA;AAAA,EAELqW,IAAIrV,GAAG,CAAC,UAAUmV,IAAI,gBAAgBC,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW7yF,GAAG,YAAY,QAAQ,WAAW4yF,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYrzG,EAAEZ,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,OAAO,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,OAAO,KAAK,OAAO,CAAC,EAAE,KAAK,YAAY,CAACY,EAAE,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAQzNZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0BAUNA,EAAE;AAAA;AAAA,KAEvB,CAAC,EAAMk0G,IAAI;AAAA;AAAA;AAAA;AAAA,eAIDC,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAkBjBC,GAAG1V,GAAG,CAAC,UAAUwV,IAAI,gBAAgBC,IAAI,iBAAiB,EAAE,CAAC,EAAEE,IAAG,CAAC,WAAWp2F,GAAG,YAAY,QAAQ,WAAWm2F,EAAE,EAAME,GAAG,gBAAgBC,GAAG7V,GAAG,CAAC,UAAU4V,GAAG,gBAAgBA,GAAG,gBAAgB,GAAG,cAAc7Z,EAAE,CAAC,EAAE+Z,IAAG,CAAC,WAAW3vF,GAAG,YAAY,QAAQ,WAAW0vF,EAAE,EAAE,SAASE,GAAG30G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,CAAC,EAAE,EAAE,CAAC,IAAI,CAAC,EAAED,EAAE,EAAEwmB,EAAE,eAAe,CAAC,CAAC,EAAEvmB,EAAE,KAAK,EAAE0B,EAAEgwG,GAAG,CAAC,OAAO,CAAC,EAAE1xG,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,iBAAiB,EAAE,SAAS,EAAE,CAAC,CAAC,EAAEgC,EAAEs4C,EAAE,qBAAqBv4C,EAAE,MAAM,CAAC,EAAEE,EAAEk9F,GAAG,CAAC,OAAO,CAAC,EAAEp9F,CAAC,EAAE,QAAQ/B,EAAE,MAAM,CAAC,MAAMgC,CAAC,CAAC,CAAC,EAAEU,EAAE6xG,GAAG,CAAC,OAAO,CAAC,EAAEl0G,EAAE,EAAE4B,CAAC,EAAE,QAAQjC,CAAC,CAAC,EAAE2C,EAAEqpG,GAAG,CAAC,OAAO,CAAC,EAAEtpG,CAAC,EAAE,QAAQ1C,CAAC,CAAC,EAAE4C,EAAEk9F,GAAG,CAAC,OAAO,CAAC,EAAEn9F,CAAC,EAAE,QAAQ3C,EAAE,MAAM,CAAC,KAAK,EAAE,SAAS,EAAE,CAAC,CAAC,EAAE6C,EAAEs8F,GAAG,CAAC,OAAO,CAAC,EAAEv8F,CAAC,EAAE,QAAQ5C,EAAE,MAAM,CAAC,MAAMgC,CAAC,CAAC,CAAC,EAAEc,EAAEsxG,GAAG,CAAC,OAAO,CAAC,EAAEzxG,EAAE,EAAEE,CAAC,EAAE,QAAQ7C,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B+B,CAAC,EAAE/B,EAAE,8BAA8BiC,CAAC,EAAEjC,EAAE,8BAA8B0C,CAAC,EAAE1C,EAAE,8BAA8B2C,CAAC,EAAE3C,EAAE,8BAA8B4C,CAAC,EAAE5C,EAAE,8BAA8B6C,CAAC,EAAEC,CAAC,CAAC,IAAI4xG,IAAG,CAAC,WAAWzwF,GAAG,YAAY,QAAQ,WAAWwwF,EAAE,EAAE,SAASE,IAAI70G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,KAAK,EAAE,WAAW0B,CAAC,EAAE3B,EAAE4B,EAAED,EAAE1B,EAAEo0G,GAAG,CAAC,OAAO,CAAC,OAAOp0G,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,IAAIK,EAAE,MAAM,OAAO,CAAC,CAAC,CAAC,EAAE4B,EAAED,EAAE,MAAM,GAAGU,EAAEV,EAAE,MAAM,GAAGW,EAAE,IAAIsxG,IAAGhyG,EAAES,EAAE,CAAC,EAAEE,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEC,EAAE7C,EAAE,gBAAgB2C,EAAE,CAACX,CAAC,EAAE,QAAQY,CAAC,EAAE,OAAOb,GAAG/B,EAAE,8BAA8BgC,CAAC,EAAEa,CAAC,CAAC,IAAI+xG,IAAG,CAAC,WAAWxzF,GAAG,YAAY,QAAQ,WAAWuzF,GAAG,EAAME,IAAIjZ,GAAG;AAAA;AAAA,EAEp2CkZ,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUJ,SAASC,IAAIj1G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,CAAC,EAAE,EAAE,GAAGJ,EAAE,mBAAmB,CAACI,CAAC,CAAC,EAAE,CAAC,IAAI,EAAEJ,EAAE,QAAQ,IAAII,EAAE,MAAM,EAAE,CAAC,EAAE2B,CAAC,EAAEs3F,GAAG,EAAE,OAAOj5F,EAAE,MAAMA,EAAE,KAAK,EAAE,OAAOJ,EAAE,eAAe+B,EAAE3B,EAAE,MAAM,CAAC,CAAC,CAAC,IAAIC,EAAE,OAAOka,EAAE,EAAE,QAAQ,6BAA6B,EAAEla,EAAE,IAAIo8F,GAAGr8F,EAAE,MAAM00G,GAAG,EAAEz0G,EAAE,IAAIs7F,GAAGv7F,EAAE,MAAMy0G,GAAG,EAAE70G,EAAE,gBAAgBK,EAAE,CAACD,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAI40G,IAAG,CAAC,WAAW1zF,GAAG,YAAY,QAAQ,WAAWyzF,GAAG,EAAME,IAAI92D,GAAG,wBAAwB,SAAS+2D,IAAIp1G,EAAE,CAACw6C,EAAE,KAAK,+FAA+F,EAAE,GAAG,CAAC,OAAO,EAAE,QAAQt6C,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,aAAa0B,EAAE,eAAeC,CAAC,EAAE5B,EAAE6B,EAAEjC,EAAE,SAASK,EAAE,MAAM,EAAEqC,EAAE1C,EAAE,SAAS,EAAE,MAAM,EAAE,CAAC,gBAAgB2C,CAAC,EAAEsyG,IAAIhzG,EAAES,EAAE,EAAEX,EAAEC,CAAC,EAAE,OAAOhC,EAAE,eAAe,CAAC2C,EAAE,MAAM,EAAE,QAAQ,IAAI,WAAWA,CAAC,CAAC,CAAC,CAAC,IAAIwyG,IAAG,CAAC,WAAW3zF,GAAG,YAAY,QAAQ,WAAW0zF,GAAG,EAAME,IAAIj3D,GAAG,wBAAwB,SAASk3D,IAAIv1G,EAAE,CAACw6C,EAAE,KAAK,+FAA+F,EAAE,GAAG,CAAC,OAAO,EAAE,QAAQt6C,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,aAAa0B,EAAE,eAAeC,EAAE,mBAAmBC,CAAC,EAAE7B,EAAEsC,EAAE1C,EAAE,SAASK,EAAE,MAAM,EAAEsC,EAAE3C,EAAE,SAAS,EAAE,MAAM,EAAE,CAAC,gBAAgB4C,EAAE,aAAaC,CAAC,EAAEuyG,IAAI1yG,EAAEC,EAAE,EAAEZ,EAAEC,EAAEC,CAAC,EAAE,MAAM,CAACjC,EAAE,eAAe,CAAC4C,EAAE,MAAM,EAAE,QAAQ,IAAI,WAAWA,CAAC,CAAC,EAAE5C,EAAE,eAAe,CAAC,EAAE,QAAQ,IAAI,WAAW,CAAC6C,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIyyG,IAAG,CAAC,WAAW7zF,GAAG,YAAY,QAAQ,WAAW4zF,GAAG,EAAME,IAAIp3D,GAAG,wBAAwB,SAASq3D,IAAI11G,EAAE,CAACw6C,EAAE,KAAK,+FAA+F,EAAE,GAAG,CAAC,OAAO,EAAE,QAAQt6C,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,aAAa0B,EAAE,eAAeC,EAAE,aAAaC,CAAC,EAAE7B,EAAEsC,EAAE1C,EAAE,SAASK,EAAE,MAAM,EAAEsC,EAAE3C,EAAE,SAAS,EAAE,MAAM,EAAE4C,EAAE,EAAEC,EAAEd,EAAEe,EAAEd,EAAEgC,EAAE/B,EAAE,CAAC,gBAAgB,EAAE,eAAeoF,CAAC,EAAEkuG,IAAI7yG,EAAEC,EAAEC,EAAEC,EAAEC,EAAEkB,CAAC,EAAE,MAAM,CAAChE,EAAE,eAAe,CAAC,EAAE,MAAM,EAAE,QAAQ,IAAI,WAAW,CAAC,CAAC,EAAEA,EAAE,eAAe,CAACqH,EAAE,MAAM,EAAE,UAAU,IAAI,aAAaA,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIouG,IAAG,CAAC,WAAW/zF,GAAG,YAAY,QAAQ,WAAW8zF,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY90G,EAAEZ,EAAE,EAAEK,EAAE,CAAC,KAAK,cAAc,CAAC,SAAS,EAAE,KAAK,YAAY,CAACO,EAAEZ,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA,8BAIl/DK,aAAa;AAAA;AAAA;AAAA,KAGtC,CAAC,EAAMs1G,IAAI71G,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,QAAQO,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,MAAM,EAAE,QAAQ0B,EAAE,SAASC,CAAC,EAAE5B,EAAE6B,EAAE2kB,EAAE,cAAcvmB,EAAE,KAAK,EAAEqC,EAAE,IAAIgzG,IAAGzzG,EAAE,EAAEF,EAAEC,CAAC,EAAEW,EAAEw8F,GAAG,CAAC,OAAO,CAAC,EAAE9+F,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM,CAACiC,CAAC,CAAC,CAAC,CAAC,EAAEW,EAAE5C,EAAE,gBAAgB0C,EAAE,CAACC,CAAC,EAAE,CAAC,EAAE3C,EAAE,8BAA8B2C,CAAC,EAAE,IAAIE,EAAE,CAAC,GAAGxC,EAAE,MAAM,CAAC,EAAEyC,EAAEq8F,GAAG,CAAC,OAAO,CAAC,EAAEv8F,CAAC,EAAE,QAAQ5C,EAAE,MAAM,CAAC,MAAM6C,CAAC,CAAC,CAAC,EAAE,OAAO7C,EAAE,8BAA8B4C,CAAC,EAAEE,CAAC,EAAE8yG,IAAG,CAAC,WAAWh0F,GAAG,YAAY,QAAQ,WAAW+zF,GAAG,EAAE,SAASE,GAAG/1G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,CAAC,EAAE,EAAE,GAAGA,EAAE,QAAQ,YAAY,CAAC,IAAIC,EAAEglG,GAAG,CAAC,OAAO,CAAC,MAAMjlG,CAAC,EAAE,QAAQJ,CAAC,CAAC,EAAE,EAAE61G,GAAG,CAAC,OAAO,CAAC,EAAEx1G,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,EAAEymG,GAAG,CAAC,OAAO,CAAC,MAAMrmG,CAAC,EAAE,QAAQJ,CAAC,CAAC,EAAE+B,EAAE8zG,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ71G,CAAC,CAAC,EAAEgC,EAAE87F,GAAG,CAAC,OAAO,CAAC,KAAK,EAAE,KAAK/7F,CAAC,EAAE,QAAQ/B,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BK,CAAC,EAAEL,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B+B,CAAC,EAAEC,CAAC,KAAM,QAAO4qG,GAAG,CAAC,MAAM,CAAC,MAAMxsG,EAAE,MAAM,MAAMA,EAAE,MAAM,MAAMA,EAAE,QAAQ,SAAS,GAAG,CAAC,EAAE,QAAQJ,CAAC,CAAC,CAAC,CAAC,IAAI81G,IAAG,CAAC,WAAWtwF,GAAG,YAAY,QAAQ,WAAWqwF,EAAE,EAAE,SAASE,GAAGj2G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,CAAC,EAAE,EAAE,GAAGA,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,8CAA8C,EAAE,GAAGA,EAAE,QAAQ,YAAY,CAAC,IAAIC,EAAEglG,GAAG,CAAC,OAAO,CAAC,MAAMjlG,CAAC,EAAE,QAAQJ,CAAC,CAAC,EAAE,EAAE+1G,GAAG,CAAC,OAAO,CAAC,EAAE11G,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,EAAEymG,GAAG,CAAC,OAAO,CAAC,MAAMrmG,CAAC,EAAE,QAAQJ,CAAC,CAAC,EAAE+B,EAAE8zG,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ71G,CAAC,CAAC,EAAEgC,EAAE87F,GAAG,CAAC,OAAO,CAAC,KAAK,EAAE,KAAK/7F,CAAC,EAAE,QAAQ/B,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BK,CAAC,EAAEL,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B+B,CAAC,EAAEC,CAAC,KAAM,QAAO4qG,GAAG,CAAC,MAAM,CAAC,MAAMxsG,EAAE,MAAM,MAAMA,EAAE,MAAM,MAAM,CAAC,EAAE,QAAQJ,CAAC,CAAC,CAAC,CAAC,IAAIg2G,IAAG,CAAC,WAAWr0F,GAAG,YAAY,QAAQ,WAAWo0F,EAAE,EAAE,SAASE,IAAIn2G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,KAAKO,CAAC,EAAED,EAAE,GAAG,EAAE,SAAS,EAAE,OAAO8rG,GAAG,CAAC,OAAO,CAAC,MAAM,EAAE,EAAE,EAAE,QAAQlsG,EAAE,MAAM,CAAC,IAAIK,CAAC,CAAC,CAAC,EAAE,IAAI,EAAE,EAAE,GAAG,MAAM,EAAE,EAAE,GAAG,MAAM,EAAE,QAAQqC,GAAG,CAACkkB,EAAE,kBAAkB,EAAElkB,EAAE,MAAM,uDAAuD,EAAEkkB,EAAE,OAAO,IAAIlkB,EAAE,MAAM,IAAI,uDAAuD,CAAC,CAAC,EAAE,IAAIX,EAAE,CAAC,EAAEC,EAAE,EAAE,IAAIU,GAAG,CAAC,IAAIC,EAAEupG,GAAG,CAAC,OAAO,CAAC,MAAMxpG,CAAC,EAAE,QAAQ1C,EAAE,MAAM,CAAC,IAAIK,CAAC,CAAC,CAAC,EAAE,OAAO0B,EAAE,KAAKY,CAAC,EAAEA,CAAC,CAAC,EAAEV,EAAE4kG,GAAG,CAAC,OAAO7kG,EAAE,QAAQhC,EAAE,MAAM,CAAC,KAAKK,CAAC,CAAC,CAAC,EAAE,OAAO0B,EAAE,QAAQW,GAAG1C,EAAE,8BAA8B0C,CAAC,CAAC,EAAET,CAAC,CAAC,IAAIi0G,IAAG,CAAC,WAAWr0F,GAAG,YAAY,QAAQ,WAAWo0F,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYv1G,EAAEZ,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,QAAQ,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYA,EAAE,IAAI,CAAC,EAAE0C,IAAI,EAAE,GAAG9B,EAAE8B,GAAG,EAAE,EAAE,EAAE,IAAIrC,EAAEO,EAAE,OAAOiB,EAAE2zF,GAAGn1F,CAAC,EAAEyB,EAAE9B,EAAE,IAAI,GAAG,EAAE,EAAE,EAAE,KAAK,GAAG,EAAE+B,EAAE/B,EAAE,IAAI,CAAC,EAAE0C,IAAI,EAAE,GAAG9B,EAAE8B,EAAE,EAAE,KAAK,GAAG,EAAEV,EAAE,CAAC,YAAY,YAAY,YAAY,WAAW,EAAE,MAAM,EAAE3B,CAAC,EAAE,GAAGA,IAAI,EAAE,CAAC,KAAK,SAAS;AAAA,sBAC58EyB;AAAA,oBACFC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAUZ,MAAM,CAAC,KAAK,SAAS;AAAA,QACrBF,aAAaA,KAAKC;AAAA,QAClBD,WAAWA,KAAKE;AAAA;AAAA;AAAA,UAGdF;AAAA;AAAA;AAAA;AAAA,YAIEA;AAAA,2BACeG;AAAA;AAAA;AAAA,KAGtB,CAAC,EAAMo0G,IAAG,KAAK,CAAC,YAAYx1G,EAAEZ,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,eAAe,CAAC,CAAC,KAAK,QAAQ,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYA,EAAE,IAAI,CAACgE,EAAEC,IAAID,EAAE,GAAGpD,EAAEqD,GAAGD,EAAE,EAAE,EAAE,IAAI3D,EAAEO,EAAE,OAAOiB,EAAE2zF,GAAGn1F,CAAC,EAAEyB,EAAE9B,EAAE,IAAIgE,GAAGA,EAAE,EAAE,EAAE,KAAK,GAAG,EAAEjC,EAAE/B,EAAE,IAAI,CAACgE,EAAEC,IAAID,EAAE,GAAGpD,EAAEqD,EAAE,EAAE,KAAK,GAAG,EAAEjC,EAAE+4F,GAAG,KAAK16F,CAAC,EAAE,EAAE06F,GAAG,SAAS16F,CAAC,EAAEqC,EAAE,GAAGV,EAAE3B,EAAE,QAAQ,KAAK,YAAYA,EAAE,KAAK,EAAEA,IAAI,EAAE,SAAS,QAAQ,EAAE,MAAM,EAAE,EAAE,KAAK,KAAKuC,EAAE,CAAC,GAAGf,oBAAoB,GAAGG,EAAE3B,EAAE;AAAA,YAC5aqC;AAAA,QACJrC,IAAI,EAAE,GAAG;AAAA;AAAA,SAER2B,EAAE3B,EAAE;AAAA,YACD2B,EAAE3B,EAAE,QAAQ,KAAK,YAAYA,EAAE,QAAQA,IAAI,EAAE,GAAG,KAAK2B,EAAE3B,EAAE;AAAA,cACvDqC,MAAM,EAAEG,EAAExC,IAAI,EAAE,0BAA0B,6DAA6DyC,EAAE,GAAG,QAAQkB,EAAE,EAAEC,EAAE5D,IAAI,EAAE,EAAE,EAAE2D,EAAEC,EAAED,IAAIlB,GAAG;AAAA,UACnJF,EAAEoB;AAAA,cACEnB;AAAA,mBACKmB;AAAA;AAAA,YAEPnC;AAAA,mBACOmC,wBAAwB,EAAE,KAAK,OAAO;AAAA;AAAA,QAEjDlB,GAAGzC,IAAI,EAAE,KAAK,KAAK,KAAK,SAAS;AAAA,cAC3BwB,aAAaA,KAAKC;AAAA,cAClBD,WAAWA,KAAKE;AAAA;AAAA;AAAA,UAGpBF;AAAA;AAAA,UAEAiB;AAAA;AAAA;AAAA,KAGL,CAAC,EAAMuzG,GAAGv2G,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,SAAS,EAAE,cAAc,CAAC,EAAED,EAAE,GAAGwmB,EAAE,cAAcvmB,EAAE,KAAK,IAAI,EAAE,CAAC,IAAI4B,EAAE,EAAE,IAAI,CAACS,EAAEC,IAAID,EAAE,GAAGrC,EAAE,MAAMsC,GAAGD,EAAE,EAAE,EAAE,OAAOkqG,GAAG,CAAC,QAAQ5sG,EAAE,MAAM,CAAC,MAAMiC,EAAE,MAAM,EAAE,MAAM5B,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,IAAI0B,EAAEwY,EAAE,EAAE,QAAQ,6BAA6B,EAAE,IAAI67F,IAAG/1G,EAAE,MAAM,EAAE,CAAC,EAAE,IAAI81G,IAAG91G,EAAE,MAAM,EAAE,CAAC,EAAE2B,EAAE,CAAC,CAAC,CAAC,CAAC,EAAE,OAAOhC,EAAE,gBAAgB+B,EAAE,CAAC1B,CAAC,EAAEA,EAAE,MAAM2B,CAAC,CAAC,EAAEs0G,IAAG,CAAC,WAAWx0F,GAAG,YAAY,QAAQ,WAAWu0F,EAAE,EAAME,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAS1aC,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IAgBF9Y,GAAG;AAAA;AAAA,EAEL+Y,IAAI/X,GAAG,CAAC,UAAU6X,IAAI,gBAAgBC,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW10F,GAAG,YAAY,QAAQ,WAAWy0F,GAAG,EAAE,SAASE,IAAI72G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE,CAAC,EAAEC,EAAE2kB,EAAE,eAAe,EAAEvmB,EAAE,KAAK,EAAEqC,EAAET,EAAEU,EAAE23C,EAAE,mBAAmB53C,EAAEX,CAAC,EAAEa,EAAEvC,EAAEsC,GAAG,OAAOC,EAAEo9F,GAAG,CAAC,OAAO,CAAC,EAAE3/F,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAK2C,CAAC,CAAC,CAAC,EAAED,EAAE43C,EAAE,iBAAiB53C,EAAE,OAAOX,CAAC,EAAEC,EAAE,KAAKY,CAAC,GAAG03C,EAAE,2BAA2B,OAAO53C,EAAEX,CAAC,EAAE,IAAIc,EAAE,GAAG7C,EAAE,mBAAmB,CAAC4C,CAAC,CAAC,EAAE,CAAC,IAAIE,EAAE9C,EAAE,QAAQ,IAAI4C,EAAE,MAAM,EAAE,OAAO,CAAC,QAAQoB,EAAE,SAAS,EAAE,SAASqD,CAAC,EAAEkyF,GAAG32F,EAAE,MAAMA,EAAE,MAAME,EAAEJ,CAAC,EAAEG,EAAE7C,EAAE,eAAe,EAAEqH,EAAErD,CAAC,CAAC,KAAK,CAAC,GAAG,CAAClB,EAAEkB,CAAC,EAAEs2C,EAAE,0BAA0B13C,EAAE,MAAMF,CAAC,EAAE,EAAEkkB,EAAE,cAAc5iB,CAAC,EAAEqD,EAAE83F,GAAG,CAAC,OAAO,CAAC,EAAEv8F,CAAC,EAAE,QAAQ5C,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,EAAE6E,EAAE6lB,GAAGrqB,EAAE,KAAK,EAAEoE,EAAE+6F,GAAGn4F,EAAExC,EAAE,OAAO7E,CAAC,EAAE6C,EAAEs8F,GAAG,CAAC,OAAO,CAAC16F,CAAG,EAAE,QAAQzE,EAAE,MAAM,CAAC,MAAM8C,CAAC,CAAC,CAAC,EAAEd,EAAE,KAAKqF,CAAC,EAAErF,EAAE,KAAKyC,CAAC,CAAC,CAAC,GAAG,EAAE,CAACzC,EAAE,KAAKa,CAAC,EAAE,IAAIC,EAAEw3C,EAAE,qBAAqBz3C,EAAE,MAAMZ,CAAC,EAAEY,EAAEs8F,GAAG,CAAC,OAAO,CAAC,EAAEt8F,CAAC,EAAE,QAAQ7C,EAAE,MAAM,CAAC,MAAM8C,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOd,EAAE,QAAQc,GAAG9C,EAAE,8BAA8B8C,CAAC,CAAC,EAAED,CAAC,CAAC,IAAI+zG,IAAG,CAAC,WAAW10F,GAAG,YAAY,QAAQ,WAAWy0F,GAAG,EAAE,SAASE,IAAI/2G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,mBAAmBO,EAAE,kBAAkB,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,iBAAiB0B,CAAC,EAAE3B,EAAE4B,EAAE3B,EAAE,IAAIgH,GAAGrH,EAAE,SAASqH,EAAE,MAAM,CAAC,EAAEpF,EAAE5B,EAAE,IAAIgH,GAAGA,EAAE,KAAK,EAAE3E,EAAE1C,EAAE,SAAS,EAAE,MAAM,EAAE2C,EAAE3C,EAAE,SAAS,EAAE,MAAM,EAAE,CAAC4C,EAAEC,EAAEC,CAAC,EAAE02F,GAAGx3F,EAAEC,EAAES,EAAE,EAAE,MAAM,EAAE,MAAMC,EAAE,EAAE,MAAMZ,CAAC,EAAEiC,EAAEpB,EAAE,IAAIyE,GAAGrH,EAAE,eAAe,CAACqH,EAAE,MAAM,EAAE,QAAQA,CAAC,CAAC,EAAE,EAAErH,EAAE,eAAe8C,EAAE,EAAE,MAAMD,CAAC,EAAE,OAAOmB,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI8yG,IAAG,CAAC,WAAW30F,GAAG,YAAY,QAAQ,WAAW00F,GAAG,EAAE,SAASE,IAAIj3G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,OAAOM,EAAE,OAAOC,EAAE,OAAO,CAAC,EAAE,EAAE,EAAEL,EAAE,SAASI,EAAE,MAAM,EAAE2B,EAAE/B,EAAE,SAASK,EAAE,MAAM,EAAE2B,EAAEhC,EAAE,SAAS,EAAE,MAAM,EAAE,CAACiC,EAAES,CAAC,EAAE+2F,GAAG,EAAEr5F,EAAE,MAAMA,EAAE,MAAM2B,EAAE1B,EAAE,MAAM2B,EAAE,EAAE,KAAK,EAAEW,EAAE3C,EAAE,eAAe,CAACiC,EAAE,MAAM,EAAE,QAAQA,CAAC,EAAEW,EAAE5C,EAAE,eAAe,CAAC0C,EAAE,MAAM,EAAEtC,EAAE,MAAMsC,CAAC,EAAE,MAAM,CAACC,EAAEC,CAAC,CAAC,CAAC,IAAIo0G,IAAG,CAAC,WAAW50F,GAAG,YAAY,QAAQ,WAAW20F,GAAG,EAAE,SAASE,IAAIn3G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,EAAE,OAAO,EAAE,aAAa,EAAE,oBAAoB0B,CAAC,EAAE,EAAE,CAAC,kBAAkBC,CAAC,EAAE5B,EAAE6B,EAAEjC,EAAE,SAASK,EAAE,MAAM,EAAEqC,EAAE1C,EAAE,SAAS,EAAE,MAAM,EAAE2C,EAAE3C,EAAE,SAAS,EAAE,MAAM,EAAE4C,EAAEb,EAAE,IAAI,GAAG/B,EAAE,SAAS,EAAE,MAAM,CAAC,EAAE6C,EAAEd,EAAE,IAAI,GAAG,EAAE,KAAK,EAAE,CAACe,EAAEkB,CAAC,EAAE01F,GAAGz3F,EAAE5B,EAAE,MAAMqC,EAAE,EAAE,MAAM,EAAE,MAAMC,EAAE,EAAE,MAAMC,EAAEC,EAAEb,CAAC,EAAE,OAAOhC,EAAE,eAAe8C,EAAE,EAAE,MAAMkB,CAAC,CAAC,CAAC,IAAIkzG,IAAG,CAAC,WAAW70F,GAAG,YAAY,QAAQ,WAAW40F,GAAG,EAAME,GAAGr3G,GAAG,CAAC,GAAG,CAAC,QAAQ,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,MAAMM,EAAE,KAAKC,EAAE,KAAK,EAAE,MAAM,CAAC,EAAEL,EAAE+B,EAAE43F,GAAGv5F,EAAEC,EAAE,EAAE,CAAC,EAAE,OAAO,EAAE,eAAe,CAAC0B,EAAE,MAAM,EAAE,EAAEA,CAAC,CAAC,EAAEq1G,IAAG,CAAC,WAAW90F,GAAG,YAAY,QAAQ,WAAW60F,EAAE,EAAME,IAAI,kBAAkBC,IAAI7Y,GAAG,CAAC,UAAU4Y,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW/0F,GAAG,YAAY,QAAQ,WAAW80F,GAAG,EAAME,IAAI5b,GAAG;AAAA;AAAA,EAEl7E6b,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUJC,IAAIjZ,GAAG,CAAC,UAAU+Y,IAAI,gBAAgBC,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWl1F,GAAG,YAAY,QAAQ,WAAWi1F,GAAG,EAAME,IAAIhc,GAAG;AAAA;AAAA,EAE7Gic,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUJC,IAAIrZ,GAAG,CAAC,UAAUmZ,IAAI,gBAAgBC,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWh1F,GAAG,YAAY,QAAQ,WAAW+0F,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYp3G,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY,CAAC,EAAE,GAAG,CAACC,EAAEC,EAAEC,EAAE,CAAC,EAAEpB,EAAE,KAAK,YAAY,CAACkB,EAAE9B,EAAE,EAAE,CAAC,EAAE,IAAI0C,EAAE,CAACrC,GAAGL,EAAE,EAAE+B,EAAE,EAAEA,EAAE1B,GAAG,EAAE,EAAE2B,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC3B,GAAGL,EAAE,EAAEA,EAAE,EAAEA,EAAEK,GAAG,EAAE,EAAE,EAAE,EAAE,CAAC,EAAEuC,EAAEf,EAAEe,EAAE,wEAAwEA,EAAE,8CAA8C,KAAK,SAAS;AAAA;AAAA,YAE/ZF,EAAE,GAAG,EAAE;AAAA,YACPA,EAAE,GAAG,EAAE;AAAA,uCACoBX,QAAQC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCASZY;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAoB9B,CAAC,EAAMq1G,IAAG,KAAK,CAAC,YAAYr3G,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAY,CAAC,EAAE,GAAG,CAACC,EAAEC,EAAEC,EAAE,CAAC,EAAEpB,EAAE,KAAK,YAAY,CAACkB,EAAE9B,EAAE,EAAE,CAAC,EAAE,IAAI0C,EAAE,CAACrC,GAAGL,EAAE,EAAE+B,EAAE,EAAEA,EAAE1B,GAAG,EAAE,EAAE2B,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC3B,GAAGL,EAAE,EAAEA,EAAE,EAAEA,EAAEK,GAAG,EAAE,EAAE,EAAE,EAAE,CAAC,EAAEuC,EAAEf,EAAEe,EAAE,wEAAwEA,EAAE,8CAA8C,KAAK,SAAS;AAAA;AAAA,YAE7WF,EAAE,GAAG,EAAE;AAAA,YACPA,EAAE,GAAG,EAAE;AAAA,YACPA,EAAE,GAAG,EAAE;AAAA,uCACoBX,QAAQC;AAAA,uCACRA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCAcJY;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAQH,EAAE;AAAA,uCACK,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAgDpC,CAAC,EAAE,SAASs1G,IAAIp4G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,CAAC,EAAE,EAAE,CAAC,aAAa,EAAE,iBAAiB,EAAE,KAAK0B,CAAC,EAAE3B,EAAE,CAAC4B,EAAEC,CAAC,EAAEF,EAAEW,EAAE6X,EAAE,EAAE,QAAQ,6BAA6B,EAAE,IAAI09F,IAAG53G,EAAE,MAAM2B,EAAEC,EAAE,EAAE,CAAC,EAAE,IAAI+1G,IAAG33G,EAAE,MAAM2B,EAAEC,EAAE,EAAE,CAAC,EAAE,OAAOjC,EAAE,gBAAgB0C,EAAE,CAACrC,CAAC,EAAE,SAAS,CAAC,CAAC,IAAI83G,IAAG,CAAC,WAAWt1F,GAAG,YAAY,QAAQ,WAAWq1F,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYx3G,EAAEZ,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,YAAYA,EAAE,GAAG,CAAC,CAACK,EAAEwB,CAAC,EAAE7B,EAAE,CAAC,CAAC8B,EAAEC,CAAC,EAAEnB,EAAEoB,EAAE,CAAC,GAAGF,EAAE,EAAEzB,EAAE,EAAEA,EAAE,GAAG0B,EAAE,EAAEF,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC,GAAGC,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGC,EAAE,EAAEA,EAAE,EAAEA,CAAC,EAAEW,EAAEV,EAAE,GAAG,EAAE,GAAG,EAAEA,EAAE,GAAG,EAAE,GAAGY,EAAE,EAAEF,EAAEG,EAAE,EAAE,EAAEC,EAAE,KAAK,KAAKF,CAAC,EAAE,EAAE,EAAEoB,EAAE,KAAK,KAAKnB,CAAC,EAAE,EAAE,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0CAU7hBH;AAAA,yCACD;AAAA;AAAA,6CAEIE;AAAA,4CACDC;AAAA;AAAA,oCAERC;AAAA,mCACDkB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAcDlC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oCAQEC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,sDAMkB1B,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,qDAMHwB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KA8BlD,CAAC,EAAE,SAASw2G,IAAIv4G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,aAAa,CAAC,EAAED,EAAE2B,EAAE,IAAIq2G,IAAG,EAAE,MAAM/3G,EAAE,MAAM,CAAC,EAAE,OAAOL,EAAE,gBAAgB+B,EAAE,CAAC,CAAC,EAAE,EAAE,KAAK,CAAC,CAAC,IAAIu2G,IAAG,CAAC,WAAWx1F,GAAG,YAAY,QAAQ,WAAWu1F,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY33G,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY,CAAC,EAAE,GAAG,CAACC,EAAEC,EAAEC,EAAE,CAAC,EAAEpB,EAAE,KAAK,YAAY,CAACkB,EAAE9B,EAAE,EAAE,CAAC,EAAE,IAAI0C,EAAE,CAACrC,GAAGL,EAAE,EAAE+B,EAAE,EAAEA,EAAE1B,GAAG,EAAE,EAAE2B,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC3B,GAAGL,EAAE,EAAEA,EAAE,EAAEA,EAAEK,GAAG,EAAE,EAAE,EAAE,EAAE,CAAC,EAAEuC,EAAEvC,EAAE,MAAM,MAAMwC,EAAEhB,EAAEgB,EAAE,4EAA4EA,EAAE,8CAA8C,KAAK,SAAS;AAAA;AAAA,YAE5iBH,EAAE,GAAG,EAAE;AAAA,YACPA,EAAE,GAAG,EAAE;AAAA,uCACoBX,QAAQC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCASZa;AAAA;AAAA;AAAA;AAAA,8DAI2BD;AAAA;AAAA;AAAA;AAAA;AAAA,KAKzD,CAAC,EAAM41G,IAAG,KAAK,CAAC,YAAY53G,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAY,CAAC,EAAE,GAAG,CAACC,EAAEC,EAAEC,EAAE,CAAC,EAAEpB,EAAE,KAAK,YAAY,CAACkB,EAAE9B,EAAE,EAAE,CAAC,EAAE,IAAI0C,EAAE,CAACrC,GAAGL,EAAE,EAAE+B,EAAE,EAAEA,EAAE1B,GAAG,EAAE,EAAE2B,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC3B,GAAGL,EAAE,EAAEA,EAAE,EAAEA,EAAEK,GAAG,EAAE,EAAE,EAAE,EAAE,CAAC,EAAEuC,EAAEvC,EAAE,MAAM,MAAMwC,EAAEhB,EAAEgB,EAAE,4EAA4EA,EAAE,8CAA8C,KAAK,SAAS;AAAA;AAAA,YAEjYH,EAAE,GAAG,EAAE;AAAA,YACPA,EAAE,GAAG,EAAE;AAAA,YACPA,EAAE,GAAG,EAAE;AAAA,uCACoBX,QAAQC;AAAA,uCACRA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCAcJa;AAAA;AAAA;AAAA;AAAA,8DAI2BD;AAAA;AAAA;AAAA,gCAG9B,EAAE;AAAA,uCACK,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAapC,CAAC,EAAE,SAAS61G,IAAI34G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,CAAC,EAAE,EAAE,CAAC,aAAa,EAAE,iBAAiB,EAAE,KAAK0B,CAAC,EAAE3B,EAAE,CAAC4B,EAAEC,CAAC,EAAEF,EAAEW,EAAE6X,EAAE,EAAE,QAAQ,6BAA6B,EAAE,IAAIi+F,IAAGn4G,EAAE,MAAM2B,EAAEC,EAAE,EAAE,CAAC,EAAE,IAAIs2G,IAAGl4G,EAAE,MAAM2B,EAAEC,EAAE,EAAE,CAAC,EAAE,OAAOjC,EAAE,gBAAgB0C,EAAE,CAACrC,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAIq4G,IAAG,CAAC,WAAW/1F,GAAG,YAAY,QAAQ,WAAW81F,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY/3G,EAAEZ,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,YAAYA,EAAE,GAAG,CAAC,CAACK,EAAEwB,CAAC,EAAE7B,EAAE,CAAC,CAAC8B,EAAEC,CAAC,EAAEnB,EAAEoB,EAAE,CAAC,GAAGF,EAAE,EAAEzB,EAAE,EAAEA,EAAE,GAAG0B,EAAE,EAAEF,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC,GAAGC,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGC,EAAE,EAAEA,EAAE,EAAEA,CAAC,EAAEW,EAAEV,EAAE,GAAG,EAAE,GAAG,EAAEA,EAAE,GAAG,EAAE,GAAGY,EAAE,EAAEF,EAAEG,EAAE,EAAE,EAAEC,EAAE,KAAK,KAAKF,CAAC,EAAE,EAAE,EAAEoB,EAAE,KAAK,KAAKnB,CAAC,EAAE,EAAE,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0CAU3hBH;AAAA,yCACD;AAAA;AAAA,6CAEIE;AAAA,4CACDC;AAAA;AAAA,oCAERC;AAAA,mCACDkB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAcDlC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oCAQEC;AAAA;AAAA;AAAA;AAAA;AAAA,sBAKdC,EAAE;AAAA,sCACc,EAAE;AAAA;AAAA;AAAA,wBAGhBA,EAAE;AAAA,wCACc,EAAE;AAAA;AAAA;AAAA,4BAGd3B;AAAA,kBACV;AAAA;AAAA;AAAA;AAAA,4BAIUwB;AAAA,kBACV;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAYb,CAAC,EAAE,SAAS+2G,IAAI94G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,aAAa,CAAC,EAAED,EAAE2B,EAAE,IAAI42G,IAAG,EAAE,MAAMt4G,EAAE,MAAM,CAAC,EAAE,OAAOL,EAAE,gBAAgB+B,EAAE,CAAC,CAAC,EAAE,EAAE,KAAK,CAAC,CAAC,IAAI82G,IAAG,CAAC,WAAWj2F,GAAG,YAAY,QAAQ,WAAWg2F,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYl4G,EAAEZ,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,IAAI,EAAEY,EAAE,OAAO,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,kCAAkC,+BAA+B,EAAE,GAAG,KAAK,YAAYA,EAAE,IAAI,EAAE,CAAC,KAAK,SAAS;AAAA;AAAA;AAAA,2BAG7YA,EAAE;AAAA;AAAA,QAErB,MAAM,CAAC,IAAIP,EAAE0B,GAAG/B,EAAE,QAAQ+B,CAAC,IAAI,IAAInB,EAAEmB,KAAK,EAAE,GAAGnB,EAAEmB,eAAeA,SAAS,UAAUA,KAAKF,EAAEjB,EAAE,IAAI,CAACmB,EAAEC,IAAI3B,EAAE2B,CAAC,CAAC,EAAE,KAAK,GAAG,EAAEF,EAAE0zF,GAAG,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA,UAE3I1zF;AAAA,yBACeD;AAAA;AAAA,KAEpB,CAAC,EAAMk3G,IAAG,KAAK,CAAC,YAAYn4G,EAAEZ,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,IAAI,EAAEY,EAAE,OAAO,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,kCAAkC,+BAA+B,EAAE,KAAK,YAAYA,EAAE,IAAIP,EAAE06F,GAAG,KAAK,CAAC,EAAEl5F,EAAE,GAAGxB,EAAE,EAAE,YAAY,KAAK,YAAY,EAAE,KAAKyB,EAAE,GAAGzB,EAAE,EAAE,YAAY,KAAK,YAAY,EAAE,KAAK0B,EAAEyzF,GAAG,CAAC,EAAE,IAAI,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA,uCAIrU50F,EAAE;AAAA,cAC3BA,EAAE;AAAA,eACDiB;AAAA,2CAC4BjB,EAAE;AAAA,kBAC3BA,EAAE;AAAA;AAAA;AAAA;AAAA,QAIZ,KAAK,SAAS;AAAA;AAAA,YAEVmB;AAAA;AAAA,uBAEWC,EAAE3B,EAAE,MAAM,CAAC;AAAA,eACnBwB;AAAA,yBACU,EAAExB,EAAE,MAAM,CAAC;AAAA;AAAA,eAErByB;AAAA,yBACUY,EAAErC,EAAE,MAAM,CAAC;AAAA,iBACnBwB;AAAA,2BACU,EAAExB,EAAE,MAAM,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA,MAKhC,SAAS2B,EAAEc,EAAE,CAAC,OAAOF,EAAEE,CAAC,CAAC,CAAC,SAAS,EAAEA,EAAE,CAAC,OAAOA,EAAE,EAAE,GAAG,IAAIA,EAAE,EAAE,GAAG,QAAQF,EAAEE,CAAC,CAAC,CAAC,SAASJ,EAAEI,EAAE,CAAC,OAAOA,EAAE,EAAE,GAAG,IAAIA,EAAE,EAAE,GAAG,QAAQF,EAAEE,CAAC,CAAC,CAAC,SAAS,EAAEA,EAAE,CAAC,OAAOA,EAAE,EAAE,GAAG,IAAIA,EAAE,EAAE,GAAG,QAAQA,EAAE,EAAE,GAAG,IAAIA,EAAE,EAAE,GAAG,QAAQF,EAAEE,CAAC,CAAC,CAAC,SAASF,EAAEE,EAAE,CAAC,IAAIkB,EAAEpD,EAAE,IAAI,CAAC,EAAE6D,IAAI5B,EAAE4B,EAAE3B,CAAC,CAAC,EAAEmB,EAAED,EAAE,KAAK,GAAG,EAAEqD,EAAErD,EAAE,MAAM,EAAE,EAAE,KAAK,GAAG,EAAE,MAAM,mBAAmBC,YAAYoD,KAAK,CAAC,SAASxE,EAAEC,EAAEkB,EAAE,CAAC,OAAOhE,EAAE,QAAQ8C,CAAC,IAAI,IAAIlC,EAAEkC,KAAK,EAAE,GAAGlC,EAAEkC,QAAQkB,EAAElB,SAAS,GAAGkB,EAAElB,IAAI,CAAC,CAAC,EAAE,SAASk2G,IAAIl5G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAEC,EAAE,MAAM,OAAO0B,EAAE6kB,EAAE,eAAe,EAAEvmB,EAAE,KAAK,EAAE,GAAG,IAAI,EAAE,OAAOu9F,GAAG,CAAC,OAAO,CAAC,EAAEv9F,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,IAAIgC,EAAEuY,EAAE,EAAE,QAAQ,6BAA6B,EAAE,IAAIw+F,IAAG14G,EAAE,MAAM0B,CAAC,EAAE,IAAI+2G,IAAGz4G,EAAE,MAAM0B,CAAC,EAAE,OAAO/B,EAAE,gBAAgBgC,EAAE,CAAC3B,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAI44G,IAAG,CAAC,WAAWj2F,GAAG,YAAY,QAAQ,WAAWg2F,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYt4G,EAAEZ,EAAE,CAAC,KAAK,cAAc,CAAC,OAAO,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,SAAS,KAAK,MAAM,CAAC,EAAE,IAAI,EAAEY,EAAE,GAAGP,EAAEO,EAAE,GAAG,KAAK,YAAYA,EAAE,IAAIiB,EAAE,GAAG,OAAO7B,GAAG,SAAS6B,EAAE,uBAAuB7B,EAAE,QAAQ,CAAC,KAAK6B,EAAE;AAAA,2BACl9B7B,EAAE,KAAK,GAAG;AAAA,8CACS,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAWhD6B;AAAA,uCAC2BxB,gCAAgC;AAAA;AAAA;AAAA;AAAA;AAAA,KAKlE,CAAC,EAAM84G,IAAG,CAAC,WAAWxzF,GAAG,YAAY,QAAQ,WAAW,CAAC,CAAC,OAAO7lB,EAAE,MAAM,EAAE,QAAQE,CAAC,IAAI,CAAC,GAAG,CAAC,MAAMI,CAAC,EAAEN,EAAE,CAAC,QAAQO,EAAE,UAAU,EAAE,OAAO,CAAC,EAAE,EAAE0B,EAAE/B,EAAEgC,EAAE,IAAIk3G,IAAG94G,EAAE,MAAM,CAAC,EAAE,CAAC6B,EAAES,CAAC,EAAE43C,EAAE,eAAe,EAAEl6C,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,EAAEuC,EAAE,CAAC,CAACV,EAAES,EAAE,KAAK,IAAIrC,CAAC,EAAE,KAAK,IAAIA,CAAC,CAAC,CAAC,EAAE,OAAO0B,EAAE,gBAAgBC,EAAE,CAAC5B,CAAC,EAAEA,EAAE,MAAMuC,CAAC,CAAC,CAAC,EAAMy2G,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAe5SC,IAAI5a,GAAG,CAAC,UAAU2a,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWr2F,GAAG,YAAY,QAAQ,WAAWo2F,GAAG,EAAME,IAAI,yBAAyBC,IAAI/a,GAAG,CAAC,UAAU8a,IAAI,cAAc3f,EAAE,CAAC,EAAE6f,IAAG,CAAC,WAAWv2F,GAAG,YAAY,QAAQ,WAAWs2F,GAAG,EAAME,GAAG,KAAK,CAAC,YAAY94G,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAEC,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,UAAU,UAAU,cAAc,EAAE,KAAK,YAAYD,EAAE,IAAIE,EAAEwzF,GAAG3zF,EAAE,MAAM,EAAE,EAAE2zF,GAAG1zF,EAAE,MAAM,EAAEY,EAAE,GAAG,IAAI,EAAEA,EAAE,IAAI,IAAI,IAAIA,EAAE,QAAQ,IAAI,EAAE,cAAcA,KAAKE,EAAE,GAAGvC,IAAI,EAAEuC,EAAE,IAAIvC,IAAI,IAAIuC,EAAE,gBAAgB,IAAIC,EAAE,cAAcD,KAAKE,EAAE9C,EAAE,EAAE,aAAa,UAAU,KAAK,SAAS;AAAA,UACzgBgC,eAAeA,KAAKH;AAAA;AAAA;AAAA,YAGlB;AAAA;AAAA;AAAA,gCAGoBjB;AAAA;AAAA,kCAEEZ;AAAA,kCACA;AAAA,0CACQ8C;AAAA;AAAA;AAAA,uBAGnBD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,OAMhB,CAAC,EAAE,SAAS82G,IAAI75G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,QAAQO,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE,CAAC,UAAU2B,EAAE,WAAWC,EAAE,UAAUC,EAAE,QAAQS,EAAE,WAAWC,CAAC,EAAE23C,EAAE,gBAAgB,EAAEj6C,EAAE,CAAC,EAAEuC,EAAE,CAACD,EAAEV,EAAEA,CAAC,EAAE,GAAGU,IAAI,EAAE,OAAO3C,EAAE,eAAe,EAAEK,EAAE,KAAK,EAAE,IAAIwC,EAAEs8F,GAAG,CAAC,OAAO,CAAC,EAAE9+F,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM,CAACgC,EAAED,CAAC,CAAC,CAAC,CAAC,EAAEe,EAAEq8F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQn/F,EAAE,MAAM,CAAC,MAAM,CAACgC,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAE+B,EAAEhE,EAAE,eAAe,CAAC,EAAE,UAAU,IAAI,aAAa,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE,IAAI05G,GAAG13G,EAAED,EAAEc,EAAE,MAAM,OAAOC,EAAE,MAAM,OAAOJ,EAAEE,CAAC,EAAEyE,EAAErH,EAAE,gBAAgB,EAAE,CAAC8C,EAAED,EAAEmB,CAAC,EAAElB,EAAE,KAAK,EAAE+B,EAAEs6F,GAAG,CAAC,OAAO,CAAC,EAAA93F,CAAC,EAAE,QAAQrH,EAAE,MAAM,CAAC,MAAM,CAAC,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B6C,CAAC,EAAE7C,EAAE,8BAA8B8C,CAAC,EAAE9C,EAAE,8BAA8BqH,CAAC,EAAErH,EAAE,8BAA8BgE,CAAC,EAAEa,CAAC,CAAC,IAAI+0G,IAAG,CAAC,WAAWz2F,GAAG,YAAY,QAAQ,WAAWw2F,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYj5G,EAAEZ,EAAE,EAAEK,EAAE,CAAC,KAAK,cAAc,CAAC,iBAAiB,QAAQ,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,YAAY,KAAK,KAAK,CAAC,EAAE,KAAK,YAAY,CAACO,EAAE,CAAC,EAAE,IAAIiB,EAAE,yBAAyBC,EAAE,uBAAuB,KAAK,KAAK,KAAK,KAAK9B,EAAE,CAAC,CAAC,sCAAsC+B,EAAEwY,EAAE,EAAE,UAAU,eAAe,IAAI,EAAE1Y,EAAEC,EAAEE,EAAE3B,IAAI,OAAO,IAAI,KAAK,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA,WAKrjC0B;AAAA;AAAA,+CAEoCC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAkBzC,CAAC,EAAE,SAAS83G,IAAIh6G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,eAAeO,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE2B,EAAE,IAAI83G,IAAGx5G,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,CAAC,EAAE2B,EAAE,CAAC,CAAC3B,EAAE,MAAM,EAAE,CAAC,EAAE,OAAOL,EAAE,gBAAgB+B,EAAE,CAAC1B,EAAE,CAAC,EAAE,QAAQ2B,CAAC,CAAC,CAAC,IAAI+3G,IAAG,CAAC,WAAW32F,GAAG,YAAY,QAAQ,WAAW02F,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYp5G,EAAEZ,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,IAAI,GAAG,EAAE,KAAK,YAAYA,EAAE,IAAIK,EAAEwB,EAAE,GAAG,EAAE,EAAE,MAAM,MAAM,kBAAkB,wBAAwB,EAAE,GAAG,IAAI,EAAEA,EAAE,QAAQxB,EAAE,YAAY,CAAC,IAAI0B,EAAE,CAAC,UAAU,UAAU,UAAU,SAAS,EAAEC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQU,EAAE,EAAEA,EAAE1C,EAAE,OAAO0C,IAAI,EAAE,KAAK,GAAGX,EAAEW,IAAI,EAAEA,EAAE9B,GAAGoB,EAAE,KAAK,GAAGD,EAAEW,IAAI,EAAErC,EAAE2B,EAAE,KAAK,EAAEH,EAAE,EAAE,KAAK,CAAC,CAAC,IAAIC,EAAE0zF,GAAG,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA,UAEzmB1zF;AAAA,4BACkBzB;AAAA;AAAA,2BAEDwB;AAAA;AAAA,2BAEAA;AAAA;AAAA;AAAA,KAGtB,CAAC,EAAE,SAASo4G,IAAIn6G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,UAAUM,EAAE,EAAEC,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE,IAAI25G,IAAG55G,EAAE,MAAM,OAAOC,EAAE,MAAMA,EAAE,MAAM,MAAM,EAAE,OAAOL,EAAE,gBAAgB,EAAE,CAACI,EAAEC,EAAE,CAAC,EAAEoqB,GAAGpqB,EAAE,MAAM,EAAE,KAAK,CAAC,CAAC,CAAC,IAAI65G,IAAG,CAAC,WAAW72F,GAAG,YAAY,QAAQ,WAAW42F,GAAG,EAAME,IAAI;AAAA;AAAA;AAAA,uBAG7N7/D,EAAE;AAAA,kBACPA,EAAE;AAAA;AAAA,EAElB8/D,IAAI3b,GAAG,CAAC,UAAU0b,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW/2F,GAAG,YAAY,QAAQ,WAAW82F,GAAG,EAAME,IAAI9b,GAAG;AAAA;AAAA,EAEzF+b,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUJC,IAAI/b,GAAG,CAAC,UAAU6b,IAAI,gBAAgBC,IAAI,cAAczgB,EAAE,CAAC,EAAE2gB,IAAG,CAAC,WAAW92F,GAAG,YAAY,QAAQ,WAAW62F,GAAG,EAAME,IAAI;AAAA;AAAA;AAAA,EAG3HC,IAAIlc,GAAG,CAAC,UAAUic,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWl3F,GAAG,YAAY,QAAQ,WAAWi3F,GAAG,EAAME,IAAIrc,GAAG;AAAA;AAAA,EAEzFsc,IAAIrc,GAAG,CAAC,UAAUoc,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWv3F,GAAG,YAAY,QAAQ,WAAWs3F,GAAG,EAAME,IAAI;AAAA;AAAA;AAAA,EAGtFC,IAAIxc,GAAG,CAAC,UAAUuc,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWz3F,GAAG,YAAY,QAAQ,WAAWw3F,GAAG,EAAME,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAoBtFC,IAAI3c,GAAG,CAAC,UAAU0c,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWz3F,GAAG,YAAY,QAAQ,WAAWw3F,GAAG,EAAME,IAAIx7G,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,SAAS,CAAC,EAAED,EAAEwmB,EAAE,OAAOvmB,EAAE,MAAM,QAAQ,EAAE,IAAI,sEAAsE,EAAE,IAAI0B,EAAE,EAAE,OAAO,CAACsF,EAAExC,IAAIwC,EAAExC,CAAC,EAAE7C,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAEA,EAAE,KAAK,GAAG,CAAC,EAAE,QAAQqF,EAAE,EAAE,EAAE,OAAOA,EAAEhH,EAAE,MAAM,OAAO,EAAEgH,EAAErF,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAES,EAAE2zG,GAAG,CAAC,OAAO,CAAC,EAAEh2G,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,SAASgC,EAAE,cAAc,CAAC,CAAC,CAAC,EAAEW,EAAE23C,EAAE,YAAY53C,EAAE,MAAM,EAAEX,EAAE,EAAE,EAAEa,EAAE03C,EAAE,YAAY33C,EAAE,OAAO,EAAE,OAAO,EAAE,EAAEE,EAAEy3C,EAAE,oBAAoB53C,EAAE,MAAM,EAAEX,EAAE,EAAE,EAAEe,EAAEq8F,GAAG,CAAC,OAAO,CAAC,EAAEz8F,CAAC,EAAE,QAAQ1C,EAAE,MAAM,CAAC,MAAM2C,CAAC,CAAC,CAAC,EAAEqB,EAAEg8F,GAAG,CAAC,OAAO,CAAC,EAAEl9F,CAAC,EAAE,QAAQ9C,EAAE,MAAM,CAAC,KAAK4C,CAAC,CAAC,CAAC,EAAE,EAAEu8F,GAAG,CAAC,OAAO,CAAC,EAAEn7F,CAAC,EAAE,QAAQhE,EAAE,MAAM,CAAC,MAAM6C,CAAC,CAAC,CAAC,EAAE,OAAOZ,EAAE,KAAKS,CAAC,EAAET,EAAE,KAAKa,CAAC,EAAEb,EAAE,KAAK+B,CAAC,EAAE/B,EAAE,QAAQoF,GAAGrH,EAAE,8BAA8BqH,CAAC,CAAC,EAAE,CAAC,EAAEk0G,IAAG,CAAC,WAAWx3F,GAAG,YAAY,QAAQ,WAAWu3F,GAAG,EAAE,SAASE,IAAI17G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,QAAQM,EAAE,OAAOC,EAAE,WAAW,EAAE,aAAa,CAAC,EAAE,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,WAC/7B,EAAE,OAAO,EAAE,GAAGD,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,WACjDA,EAAE,OAAO,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,WACjDA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UAClD,EAAE,OAAO,EAAE,IAAI0B,EAAE/B,EAAE,SAASI,EAAE,MAAM,EAAE4B,EAAEhC,EAAE,SAASK,EAAE,MAAM,EAAE4B,EAAEjC,EAAE,SAAS,EAAE,MAAM,EAAE0C,EAAE1C,EAAE,SAAS,EAAE,MAAM,EAAE,GAAG,CAAC2C,EAAEC,EAAEC,EAAEC,EAAEkB,CAAC,EAAEi2F,GAAGl4F,EAAE3B,EAAE,MAAMA,EAAE,MAAM4B,EAAE3B,EAAE,MAAM4B,EAAES,CAAC,EAAE,MAAM,CAAC1C,EAAE,eAAe4C,EAAExC,EAAE,MAAMuC,CAAC,EAAE3C,EAAE,eAAe,CAAC4C,EAAE,EAAE,EAAEvC,EAAE,MAAMwC,CAAC,EAAE7C,EAAE,eAAe,CAAC8C,EAAE,MAAM,EAAE,OAAO,IAAI,WAAWA,EAAE,IAAI,GAAG,OAAO,CAAC,CAAC,CAAC,CAAC,EAAE9C,EAAE,eAAe,CAACgE,EAAE,MAAM,EAAE5D,EAAE,MAAM,IAAI,WAAW4D,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIy3G,IAAG,CAAC,WAAWv3F,GAAG,YAAY,QAAQ,WAAWs3F,GAAG,EAAE,SAASE,IAAI57G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,aAAaM,EAAE,WAAWC,EAAE,SAAS,CAAC,EAAE,EAAE,GAAGD,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,uDAAuDA,EAAE,OAAO,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,qDAAqDA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,sDAAsD,EAAE,OAAO,EAAE,IAAI,EAAE,MAAM,KAAKL,EAAE,SAASK,EAAE,MAAM,CAAC,EAAE0B,EAAE/B,EAAE,SAASI,EAAE,MAAM,EAAE4B,EAAE,MAAM,KAAKhC,EAAE,SAAS,EAAE,MAAM,CAAC,EAAE,CAACiC,EAAES,EAAEC,CAAC,EAAEu3F,GAAGn4F,EAAE3B,EAAE,MAAMA,EAAE,MAAM,EAAE4B,CAAC,EAAE,MAAM,CAAChC,EAAE,eAAe0C,EAAEtC,EAAE,MAAM6B,CAAC,EAAEjC,EAAE,eAAe,CAAC2C,EAAE,MAAM,EAAE,EAAE,MAAM,IAAI,WAAWA,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIg5G,IAAG,CAAC,WAAWx3F,GAAG,YAAY,QAAQ,WAAWu3F,GAAG,EAAE,SAASE,IAAI97G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,KAAKM,EAAE,QAAQC,EAAE,WAAW,CAAC,EAAE,EAAE,GAAGD,EAAE,MAAM,OAAO,EAAE,MAAM,IAAI,MAAM,2DAA2D,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,gBACjxCA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,gBACjD,EAAE,OAAO,EAAE,IAAI,EAAEL,EAAE,SAASI,EAAE,MAAM,EAAE2B,EAAE/B,EAAE,SAASK,EAAE,MAAM,EAAE2B,EAAEhC,EAAE,SAAS,EAAE,MAAM,EAAE,CAACiC,EAAES,CAAC,EAAEy3F,GAAG,EAAE/5F,EAAE,MAAMA,EAAE,MAAM2B,EAAEC,EAAE,EAAE,EAAE,OAAOhC,EAAE,eAAe0C,EAAEtC,EAAE,MAAM6B,CAAC,CAAC,CAAC,IAAI45G,IAAG,CAAC,WAAWz3F,GAAG,YAAY,QAAQ,WAAWw3F,GAAG,EAAE,SAASE,IAAIh8G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,KAAKM,EAAE,QAAQC,EAAE,WAAW,CAAC,EAAE,EAAE,GAAGD,EAAE,MAAM,OAAO,EAAE,MAAM,IAAI,MAAM,2DAA2D,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,eAC1aA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,eACjD,EAAE,OAAO,EAAE,IAAI,EAAEL,EAAE,SAASI,EAAE,MAAM,EAAE2B,EAAE/B,EAAE,SAASK,EAAE,MAAM,EAAE2B,EAAEhC,EAAE,SAAS,EAAE,MAAM,EAAE,CAACiC,EAAES,CAAC,EAAEy3F,GAAG,EAAE/5F,EAAE,MAAMA,EAAE,MAAM2B,EAAEC,CAAC,EAAE,OAAOhC,EAAE,eAAe0C,EAAEtC,EAAE,MAAM6B,CAAC,CAAC,CAAC,IAAI85G,IAAG,CAAC,WAAW13F,GAAG,YAAY,QAAQ,WAAWy3F,GAAG,EAAE,SAASE,IAAIl8G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,cAAcO,EAAE,aAAa,EAAE,aAAa,CAAC,EAAE,EAAE,CAAC,YAAY0B,CAAC,EAAE3B,EAAE,CAAC,UAAU4B,EAAE,WAAWC,EAAE,UAAUS,EAAE,QAAQC,EAAE,WAAWC,CAAC,EAAE03C,EAAE,gBAAgB,EAAEj6C,EAAE0B,CAAC,EAAEc,EAAE,GAAG,GAAG,EAAE,QAAQ,SAAS,CAAC,IAAIwE,EAAErH,EAAE,WAAWK,CAAC,EAAEwE,EAAE7E,EAAE,WAAW,CAAC,EAAEyE,EAAEmiB,EAAE,aAAa5mB,EAAE,SAAS,EAAE,MAAM,EAAE,EAAE,EAAE0E,EAAEm1F,GAAGxyF,EAAExC,EAAE9C,EAAEa,EAAEF,EAAET,EAAED,EAAEW,EAAE8B,EAAE5B,CAAC,EAAE,OAAO7C,EAAE,eAAe+B,EAAE2C,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAI5B,EAAE,IAAI42G,GAAGz3G,EAAED,EAAE3B,EAAE,MAAM,OAAO,EAAE,MAAM,OAAOsC,EAAE,CAACC,EAAE,CAAC,EAAEC,CAAC,EAAEmB,EAAEhE,EAAE,gBAAgB8C,EAAE,CAAC,EAAEzC,EAAE,CAAC,EAAE,EAAE,KAAK,EAAE,EAAE8+F,GAAG,CAAC,OAAO,CAAC,EAAEn7F,CAAC,EAAE,QAAQhE,EAAE,MAAM,CAAC,MAAM+B,CAAC,CAAC,CAAC,EAAE,OAAO/B,EAAE,8BAA8BgE,CAAC,EAAE,CAAC,CAAC,IAAIi4G,IAAG,CAAC,WAAW33F,GAAG,YAAY,QAAQ,WAAW03F,GAAG,EAAE,SAASE,IAAIp8G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,gBAAgB,EAAE,KAAK,CAAC,EAAED,EAAE2B,EAAE6kB,EAAE,eAAe,EAAEvmB,EAAE,KAAK,EAAE,GAAG2B,EAAEs4C,EAAE,iBAAiBj6C,EAAE,EAAE0B,CAAC,EAAEE,EAAE5B,EAAE,MAAM,OAAOqC,EAAE,IAAI,MAAMT,CAAC,EAAE,KAAK,CAAC,EAAEU,EAAEtC,EAAE,MAAM,MAAM,EAAE,OAAO2B,EAAE,IAAIY,GAAG,CAAC,IAAIC,EAAE,CAAC,GAAGF,CAAC,EAAEE,EAAEd,GAAGa,EAAE,IAAIE,EAAE4hG,GAAG,CAAC,OAAO,CAAC,EAAErkG,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM0C,EAAE,KAAKG,CAAC,CAAC,CAAC,EAAE,OAAOH,EAAEX,IAAIa,EAAEE,CAAC,CAAC,CAAC,CAAC,IAAIq5G,IAAG,CAAC,WAAWn4F,GAAG,YAAY,QAAQ,WAAWk4F,GAAG,EAAME,GAAG,kBAAkBC,IAAI5d,GAAG,CAAC,UAAU2d,GAAG,gBAAgBA,GAAG,cAAchiB,EAAE,CAAC,EAAEkiB,IAAG,CAAC,WAAWz4F,GAAG,YAAY,QAAQ,WAAWw4F,GAAG,EAAME,IAAI,gBAAgBC,IAAI/d,GAAG,CAAC,UAAU8d,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWj4F,GAAG,YAAY,QAAQ,WAAWg4F,GAAG,EAAME,GAAG,4BAA4BC,IAAIje,GAAG,CAAC,UAAUge,GAAG,gBAAgBA,EAAE,CAAC,EAAEE,IAAG,CAAC,WAAWr4F,GAAG,YAAY,QAAQ,WAAWo4F,GAAG,EAAE,SAASE,IAAI,CAAC,OAAO/8G,EAAE,MAAM,EAAE,QAAQE,CAAC,EAAE,CAAC,GAAG,CAAC,EAAEI,CAAC,EAAEN,EAAEO,EAAEu7F,GAAG;AAAA,mCAC9lD,EAAE;AAAA,IACjC,EAAE,IAAID,GAAGv7F,EAAE,MAAMC,CAAC,EAAE,OAAOL,EAAE,gBAAgB,EAAE,CAACI,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAI08G,IAAG,CAAC,WAAWr3F,GAAG,YAAY,QAAQ,WAAWo3F,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYn8G,EAAEZ,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY,EAAE,IAAIK,EAAE,EAAE,OAAOwB,EAAE2zF,GAAG,EAAE,MAAM,EAAE1zF,EAAE0zF,GAAG,EAAE,MAAM,EAAEzzF,EAAE,GAAG,GAAG1B,IAAI,EAAE0B,EAAE,+BAA+B,CAAC,IAAIC,EAAE,EAAED,EAAE,EAAE,IAAI,CAAC,EAAEW,KAAKV,IAAI,EAAE,SAAS,EAAE,oBAAoBU,cAAcA,KAAK,UAAUV,EAAE,gBAAgBU,cAAcA,KAAK,EAAE,KAAK,GAAG,CAAC,CAAC,KAAK,SAAS;AAAA,QACpbb,aAAaA,KAAKjB;AAAA,QAClBiB,eAAeA,KAAK7B;AAAA;AAAA;AAAA,UAGlB8B;AAAA,yBACeC;AAAA;AAAA,KAEpB,CAAC,EAAE,SAASi7G,IAAIl9G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,QAAQ0B,EAAE,UAAUC,EAAE,QAAQC,EAAE,aAAaS,EAAE,YAAYC,EAAE,eAAeC,CAAC,EAAExC,EAAE,CAAC,iBAAiByC,EAAE,WAAWC,EAAE,WAAWkB,EAAE,UAAU,EAAE,cAAcqD,EAAE,MAAMxC,EAAE,IAAIJ,EAAE,QAAQC,CAAC,EAAEwxB,GAAG,UAAU71B,EAAE,MAAM,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAEC,EAAEC,CAAC,EAAE+B,EAAE,GAAGX,EAAEW,EAAEw6F,GAAG,CAAC,OAAO,CAAC,EAAE9+F,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM8C,CAAC,CAAC,CAAC,UAAU,GAAGuE,EAAE,CAACuf,EAAE,OAAOvmB,EAAE,MAAM,QAAQ,EAAE,IAAI,yCAAyCA,EAAE,MAAM,QAAQ,EAAE,IAAIiH,EAAE4uB,GAAG,gBAAgBrxB,EAAEJ,EAAEC,CAAC,EAAEI,EAAE4/F,GAAG,CAAC,OAAO,CAAC,EAAErkG,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM6E,EAAE,KAAKyC,CAAC,CAAC,CAAC,EAAE3C,EAAEw6F,GAAG,CAAC,OAAO,CAAC,EAAEr6F,CAAC,EAAE,QAAQ9E,EAAE,MAAM,CAAC,MAAM8C,CAAC,CAAC,CAAC,EAAE9C,EAAE,8BAA8B8E,CAAC,CAAC,SAAS9E,EAAE,mBAAmB,CAACK,CAAC,CAAC,EAAE,CAAC,IAAIyE,EAAE9E,EAAE,SAASK,EAAE,MAAM,EAAEkH,EAAE8oB,GAAGhwB,EAAE,MAAMA,EAAE,MAAMyE,CAAC,EAAEC,EAAEs1F,GAAGx3F,EAAE0E,EAAE7C,EAAEG,CAAC,EAAEF,EAAE3E,EAAE,eAAe8C,EAAEzC,EAAE,MAAM0E,EAAE,MAAM,CAAC,KAAK,CAAC,IAAID,EAAE,IAAIi4G,IAAGl4G,EAAEH,EAAE7B,CAAC,EAAE8B,EAAE3E,EAAE,gBAAgB8E,EAAE,CAACzE,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAIuE,EAAEu6F,GAAG,CAAC,OAAO,CAAC,EAAEx6F,CAAC,EAAE,QAAQ3E,EAAE,MAAM,CAAC,MAAM8C,CAAC,CAAC,CAAC,EAAE,OAAO9C,EAAE,8BAA8B2E,CAAC,EAAEC,CAAC,CAAC,IAAIq4G,IAAG,CAAC,WAAWx4F,GAAG,YAAY,QAAQ,WAAWu4F,GAAG,EAAE,SAASE,IAAIp9G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,UAAUO,EAAE,YAAY,EAAE,QAAQ,EAAE,SAAS0B,EAAE,SAASC,EAAE,uBAAuBC,CAAC,EAAE7B,EAAE,CAAC,KAAKsC,EAAE,WAAWC,CAAC,EAAE,EAAEC,EAAE5C,EAAE,SAAS0C,EAAE,MAAM,EAAEG,EAAE7C,EAAE,SAAS2C,EAAE,MAAM,EAAE,CAACG,EAAEkB,CAAC,EAAEs2F,GAAG13F,EAAEC,EAAExC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,CAAC,EAAE,MAAM,CAACjC,EAAE,eAAe,CAAC8C,EAAE,MAAM,EAAE,SAASA,CAAC,EAAE9C,EAAE,eAAe2C,EAAE,MAAM,QAAQqB,CAAC,CAAC,CAAC,CAAC,IAAIm5G,IAAG,CAAC,WAAWz4F,GAAG,YAAY,QAAQ,WAAWw4F,GAAG,EAAE,SAASE,IAAIt9G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,UAAUO,CAAC,EAAED,EAAE,CAAC,MAAM,EAAE,UAAU,CAAC,EAAE,EAAE,GAAG,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,kCAAkC,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,sCAAsC,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,0CAA0C,EAAE,OAAO,EAAE,IAAI2B,EAAE/B,EAAE,SAAS,EAAE,MAAM,EAAEgC,EAAEhC,EAAE,SAAS,EAAE,MAAM,EAAE,GAAG,CAACiC,EAAES,EAAEC,CAAC,EAAE43F,GAAGx4F,EAAEC,EAAE3B,CAAC,EAAEuC,EAAEF,EAAE,OAAO,MAAM,CAAC1C,EAAE,eAAe,CAAC4C,EAAE,CAAC,EAAE,QAAQX,CAAC,EAAEjC,EAAE,eAAe,CAAC4C,CAAC,EAAE,SAASF,CAAC,EAAE1C,EAAE,eAAe,CAAC,CAAC,EAAE,QAAQ,IAAI,WAAW2C,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI06G,IAAG,CAAC,WAAW14F,GAAG,YAAY,QAAQ,WAAWy4F,GAAG,EAAE,SAASE,IAAIx9G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,WAAWO,CAAC,EAAED,EAAE,CAAC,MAAM,CAAC,EAAE,EAAE,GAAG,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,kCAAkC,EAAE,GAAGC,GAAG,EAAE,MAAM,IAAI,MAAM,sCAAsC,EAAE,IAAI,EAAEL,EAAE,SAAS,EAAE,MAAM,EAAE+B,EAAEy4F,GAAG,EAAEn6F,CAAC,EAAE,OAAOL,EAAE,eAAe,EAAE,MAAM,QAAQ+B,CAAC,CAAC,CAAC,IAAIw7G,IAAG,CAAC,WAAW34F,GAAG,YAAY,QAAQ,WAAW04F,GAAG,EAAME,IAAI,iBAAiBC,IAAIhf,GAAG,CAAC,UAAU+e,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW54F,GAAG,YAAY,QAAQ,WAAW24F,GAAG,EAAME,IAAI;AAAA;AAAA;AAAA,EAGr3EC,IAAInf,GAAG,CAAC,UAAUkf,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW94F,GAAG,YAAY,QAAQ,WAAW64F,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYl9G,EAAEZ,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,IAAI,EAAE,IAAI,MAAMY,EAAE,MAAM,EAAE,QAAQkB,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,EAAEA,GAAGlB,EAAEkB,GAAG9B,EAAE8B,GAAG,KAAK,YAAY,EAAE,KAAK,KAAK,EAAE,OAAO,IAAIzB,EAAEm1F,GAAG,KAAK,IAAI,EAAE3zF,EAAEk8G,IAAIn9G,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA,UAElRP;AAAA,yBACewB;AAAA;AAAA,KAEpB,CAAC,EAAE,SAASk8G,IAAIj+G,EAAE,CAAC,IAAI,EAAEA,EAAE,OAAO,GAAG,EAAE,EAAE,MAAM,MAAM,iBAAiB,wBAAwB,EAAE,GAAG,IAAI,EAAE,MAAM,eAAeA,EAAE,MAAM,IAAIE,EAAE,CAAC,UAAU,UAAU,UAAU,UAAU,SAAS,EAAEI,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEP,EAAE,OAAOO,IAAID,EAAE,KAAK,QAAQJ,EAAEK,OAAOP,EAAEO,KAAK,EAAE,OAAOD,EAAE,KAAK,CAAC,CAAC,SAAS49G,GAAGl+G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,GAAGC,EAAE,QAAQ,UAAUA,EAAE,MAAM,OAAO,EAAE,CAAC,IAAI2B,EAAEhC,EAAE,SAASK,EAAE,MAAM,EAAE,EAAEA,EAAE,QAAQ,SAAS2B,EAAE,IAAIY,GAAGgkB,EAAE,aAAahkB,CAAC,CAAC,EAAEZ,EAAEU,EAAE2tB,GAAGhwB,EAAE,MAAMA,EAAE,MAAM,CAAC,EAAE,EAAEq6F,GAAGh4F,EAAE,CAAC,EAAE,OAAO1C,EAAE,eAAe,EAAE,MAAM,EAAE,MAAM,EAAE,MAAM,CAAC,CAAC,IAAI,EAAE,IAAI89G,IAAGz9G,EAAE,MAAM,CAAC,EAAE,OAAOL,EAAE,gBAAgB,EAAE,CAACK,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAI49G,IAAG,CAAC,WAAWj5F,GAAG,YAAY,QAAQ,WAAWg5F,EAAE,EAAME,IAAG,KAAK,CAAC,YAAYt9G,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,SAAS,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,IAAI,KAAK,KAAK,EAAE,CAAC,KAAK,YAAY,KAAK,KAAK,EAAE,CAAC,KAAK,cAAc,KAAK,OAAO,EAAE,CAAC,KAAK,MAAM,KAAK,KAAK,EAAE,CAAC,KAAK,MAAM,KAAK,KAAK,CAAC,EAAE,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAwCp5B,CAAC,EAAEu9G,IAAG,KAAK,CAAC,YAAYv9G,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,SAAS,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,IAAI,KAAK,KAAK,EAAE,CAAC,KAAK,YAAY,KAAK,KAAK,EAAE,CAAC,KAAK,IAAI,KAAK,KAAK,CAAC,EAAE,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAkC/L,CAAC,EAAE,SAASw9G,GAAGt+G,EAAE,EAAE,CAAC,IAAI,MAAMA,EAAE,8BAA8B,CAAC,CAAC,CAAC,SAASu+G,GAAGv+G,EAAE,CAAC,IAAI,EAAE,EAAE,KAAK,EAAEA,GAAG,GAAG,EAAE,OAAO,CAAC,CAAC,SAASw+G,IAAIx+G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,OAAO,CAAC,EAAED,EAAE2B,EAAEwY,EAAE,EAAE,UAAU,0CAA0C,EAAEvY,EAAEuY,EAAE,EAAE,UAAU,8BAA8B,EAAEtY,EAAE5B,EAAE,MAAMqC,EAAET,EAAEA,EAAE,OAAO,GAAG,GAAGjC,EAAE,mBAAmB,CAACK,CAAC,CAAC,GAAGqC,EAAEX,GAAG,EAAEC,EAAE,CAAC,IAAI+C,EAAE/E,EAAE,SAASK,EAAE,MAAM,EAAE,CAAC2E,EAAEC,CAAC,EAAE01F,GAAG51F,EAAE9C,EAAE5B,EAAE,MAAM,EAAE,CAAC,EAAE,MAAM,CAACL,EAAE,eAAegF,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,EAAEhF,EAAE,eAAeiF,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG,IAAI,EAAE,OAAOhD,EAAEA,EAAE,OAAO,GAAG,EAAE,CAACjC,EAAE,eAAeiC,EAAE5B,EAAE,MAAM,CAAC,CAAC,EAAEL,EAAE,eAAeiC,EAAE,QAAQ,CAAC,CAAC,CAAC,EAAE,GAAGS,IAAI,EAAE,MAAM,CAACrC,EAAEusG,GAAG,CAAC,MAAM,CAAC,MAAM3qG,EAAE,MAAM,QAAQ,MAAM,CAAC,EAAE,QAAQjC,CAAC,CAAC,CAAC,EAAE,IAAI2C,EAAE3C,EAAE,QAAQ,IAAIK,EAAE,MAAM,EAAEuC,EAAED,IAAI,MAAMA,EAAE,SAASE,EAAED,EAAE5C,EAAE,aAAaK,CAAC,EAAEA,EAAE2D,EAAE4iB,EAAE,cAAc3kB,CAAC,EAAES,EAAEuB,EAAEk7F,GAAG,CAAC,OAAO,CAAC,EAAEt8F,CAAC,EAAE,MAAM,CAAC,MAAM,CAACmB,EAAEtB,CAAC,CAAC,EAAE,QAAQ1C,CAAC,CAAC,EAAE4C,GAAGw7G,GAAGp+G,EAAE6C,CAAC,EAAE,IAAIwE,EAAEg3G,GAAG,CAAC,EAAE,EAAEA,GAAG37G,CAAC,EAAE+B,EAAE,KAAKC,EAAE,IAAID,IAAI,KAAK,CAACR,EAAEA,CAAC,EAAE,CAACA,EAAEQ,CAAC,EAAEE,EAAE,CAACI,EAAEC,EAAEC,IAAI,CAAC,IAAIC,EAAER,EAAE,EAAES,EAAE,IAAI+4G,IAAGj5G,CAAC,EAAE8C,EAAE,CAAC,CAACrF,CAAC,EAAE,CAAC+B,IAAI,KAAK,EAAE,CAAC,EAAE,CAAC,OAAO,iBAAiB,EAAE,CAACM,CAAC,EAAE,CAACC,CAAC,CAAC,EAAEyC,EAAEhD,EAAEA,EAAEzE,EAAE,gBAAgBmF,EAAED,EAAE,QAAQ6C,CAAC,EAAEq2G,GAAGp+G,EAAEyH,CAAC,CAAC,EAAE,QAAQ1C,EAAE,EAAEA,EAAEsC,EAAEtC,GAAG,EAAE,CAAC,IAAIC,EAAED,EAAE,EAAE,QAAQE,EAAEF,EAAEE,GAAG,EAAEA,GAAG,EAAEN,EAAEK,EAAEC,EAAE,CAACjB,EAAE,CAAC,CAAC,CAAC,CAAC,QAAQe,EAAE,EAAEA,EAAEsC,EAAEtC,GAAG,EAAE,CAAC,IAAIC,EAAEN,EAAE,EAAEO,EAAE,IAAIk5G,IAAG,CAACn6G,EAAEe,EAAE,CAAC,CAAC,EAAEI,EAAE,CAAC,CAACzC,CAAC,EAAE,CAAC+B,IAAI,KAAK,EAAE,CAAC,EAAE,CAAC4C,CAAC,CAAC,EAAEjC,EAAEX,EAAEA,EAAEzE,EAAE,gBAAgBiF,EAAED,EAAE,QAAQG,CAAC,EAAEi5G,GAAGp+G,EAAEoF,CAAC,EAAE,IAAI2C,EAAEV,EAAE,EAAEI,EAAEM,EAAE,EAAE,QAAQC,EAAED,EAAEC,GAAG,EAAEA,GAAG,EAAErD,EAAE8C,EAAEO,EAAEvD,EAAE,KAAK,CAAC,CAAC,IAAIG,EAAEH,EAAEA,EAAEigG,GAAG,CAAC,OAAO,CAAC,EAAEjgG,CAAC,EAAE,QAAQzE,EAAE,MAAM,CAAC,MAAM,EAAE,KAAK,CAACgE,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEo6G,GAAGp+G,EAAE4E,CAAC,EAAE,IAAI0C,EAAEgnG,GAAG,CAAC,OAAO,CAAC,EAAErqG,EAAE,QAAQQ,CAAC,EAAE,QAAQzE,EAAE,MAAM,CAAC,KAAK,EAAE,UAAU,CAAC,CAAC,CAAC,EAAEo+G,GAAGp+G,EAAEiE,CAAC,EAAE,IAAIa,EAAE7C,EAAE,MAAM,EAAE,EAAE,EAAE6C,EAAE,KAAK,CAAC,EAAEF,EAAEH,EAAEA,EAAE06F,GAAG,CAAC,OAAO,CAAC,EAAE16F,CAAC,EAAE,MAAM,CAAC,MAAMK,CAAC,EAAE,QAAQ9E,CAAC,CAAC,EAAEo+G,GAAGp+G,EAAE4E,CAAC,EAAE,IAAI2C,EAAED,EAAE,OAAOA,EAAE63F,GAAG,CAAC,OAAO,CAAC,EAAE73F,CAAC,EAAE,MAAM,CAAC,MAAMxC,CAAC,EAAE,QAAQ9E,CAAC,CAAC,EAAEo+G,GAAGp+G,EAAEuH,CAAC,EAAE,CAACD,EAAE7C,CAAC,CAAC,CAAC,IAAI85G,IAAG,CAAC,WAAWt5F,GAAG,YAAY,QAAQ,WAAWq5F,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY59G,EAAEZ,EAAE,EAAEK,EAAEwB,EAAEC,EAAE,CAAC,KAAK,cAAc,CAAC,QAAQ,YAAY,EAAE,KAAK,YAAYA,EAAE,IAAIC,EAAE,IAAI,UAAU,EAAE,EAAEC,EAAE,OAAO3B,EAAE,CAAC,IAAI,WAAW2B,EAAE,EAAE,MAAM,IAAI,UAAUA,EAAE,EAAE,MAAM,IAAI,OAAOA,EAAE,EAAE,MAAM,IAAI,UAAUA,EAAE,EAAE,MAAM,QAAQA,EAAE,EAAE,KAAK,CAAC,KAAK,SAAS;AAAA;AAAA;AAAA,mBAG92DA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAwBQA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAiBAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,4CAUiBpB,gCAAgCZ;AAAA;AAAA;AAAA,sCAGtC6B;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,sCAwBAA;AAAA;AAAA;AAAA;AAAA,mDAIa7B;AAAA,mDACAY;AAAA;AAAA,sBAE7BmB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,SAwBb,CAAC,EAAE,SAAS08G,IAAI3+G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,EAAE,WAAW,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,SAAS0B,EAAE,UAAUC,EAAE,YAAYC,CAAC,EAAE7B,EAAE,CAACsC,EAAEC,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAM,CAACyC,EAAEkB,CAAC,EAAE/B,GAAG,KAAKA,EAAE,CAACU,EAAEC,CAAC,EAAE,EAAE,CAACF,EAAEI,EAAEkB,EAAEnB,CAAC,EAAEwE,EAAE,IAAIm3G,IAAG77G,EAAEC,EAAE,EAAEb,EAAEC,EAAE,CAAC,EAAE,OAAOhC,EAAE,gBAAgBqH,EAAE,CAAChH,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIq+G,IAAG,CAAC,WAAWx5F,GAAG,YAAY,QAAQ,WAAWu5F,GAAG,EAAE,SAASE,IAAI7+G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQI,CAAC,EAAEN,EAAE,CAAC,KAAKO,CAAC,EAAEL,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE6tF,GAAG,EAAE,QAAQ,EAAE,QAAQ,KAAK,YAAY,4DAA4D,EAAE,IAAI,EAAEztF,EAAE,SAAS,EAAE,MAAM,EAAE,CAAC,aAAa2B,EAAE,YAAYC,EAAE,QAAQC,CAAC,EAAE44F,GAAG,EAAEx6F,EAAE,EAAE,MAAM,EAAE,KAAK,EAAE,MAAM,CAACD,EAAE,eAAe4B,EAAE,EAAE,MAAMD,CAAC,EAAE3B,EAAE,eAAe,CAAC6B,EAAE,MAAM,EAAE,QAAQA,CAAC,CAAC,CAAC,CAAC,IAAI28G,IAAG,CAAC,WAAWx5F,GAAG,YAAY,QAAQ,WAAWu5F,GAAG,EAAE,SAASE,IAAI/+G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAE,IAAI,GAAGC,EAAE,MAAM,QAAQ,IAAI,EAAEA,EAAE0B,EAAE,EAAE,MAAM,OAAOC,EAAE3B,EAAE,MAAM,GAAG4B,EAAE,IAAI,MAAMF,EAAE,CAAC,EAAEW,EAAE,EAAE,QAAQsB,EAAE,EAAEA,EAAEjC,EAAEiC,IAAIA,IAAI,IAAI/B,EAAES,KAAK,EAAE,MAAMsB,IAAI,IAAIrB,EAAE,CAAC,EAAEC,EAAE,IAAI,MAAMb,CAAC,EAAE,KAAK,CAAC,EAAEc,EAAE,EAAE,MAAM,MAAM,EAAEA,EAAE,GAAG,EAAE,IAAIC,EAAE,IAAI,MAAMd,CAAC,EAAE,QAAQgC,EAAE,EAAEA,EAAElB,EAAE,OAAOkB,IAAI,CAACpB,EAAE,GAAGoB,EAAE,IAAI,EAAE0gG,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ1kG,EAAE,MAAM,CAAC,MAAM4C,EAAE,KAAKC,CAAC,CAAC,CAAC,EAAEwE,EAAE83F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQn/F,EAAE,MAAM,CAAC,MAAMiC,CAAC,CAAC,CAAC,EAAEa,EAAEkB,GAAGqD,EAAE1E,EAAE,KAAK,CAAC,CAAC,CAAC,OAAOA,EAAE,QAAQqB,GAAGhE,EAAE,8BAA8BgE,CAAC,CAAC,EAAElB,CAAC,CAAC,IAAIg8G,IAAG,CAAC,WAAWz5F,GAAG,YAAY,QAAQ,WAAWw5F,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYn+G,EAAEZ,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,YAAY,EAAE,IAAI,EAAEY,EAAE,WAAWP,EAAEO,EAAE,UAAUiB,EAAEjB,EAAE,OAAOkB,EAAElB,EAAE,YAAYmB,EAAED,EAAE,KAAK,KAAKD,EAAE,CAAC,EAAE,KAAK,YAAY,CAACxB,EAAE0B,CAAC,EAAE,IAAIC,EAAE,MAAM,EAAE,WAAWU,EAAE,KAAK,MAAM,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,EAAEE,EAAE;AAAA;AAAA,MAEh9CC,EAAE,GAAGhB,EAAE,EAAE,IAAIgB,EAAE;AAAA,oCACehB;AAAA;AAAA;AAAA,SAG3B,IAAIiB,EAAE,GAAGjB,EAAE,EAAE,IAAIiB,EAAE;AAAA,oCACQjB;AAAA;AAAA;AAAA,SAG3B,KAAK,SAAS;AAAA,0CACmBG;AAAA;AAAA;AAAA,UAGhCa;AAAA;AAAA;AAAA;AAAA;AAAA,UAKAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YASEhB,eAAe;AAAA,wDAC6BA;AAAA;AAAA;AAAA;AAAA,8BAI1BY;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAgBlBE;AAAA;AAAA;AAAA,iCAGqBF;AAAA,cACnB,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAiBNE;AAAA,qBACS,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAebA;AAAA,qBACS,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAebA;AAAA;AAAA,oBAEQ;AAAA;AAAA,KAEf,CAAC,EAAE,SAASo8G,IAAIl/G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,WAAW,CAAC,EAAE,EAAE,CAAC,YAAY,CAAC,EAAED,EAAE2B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE,CAAC,EAAEC,EAAE,EAAES,EAAE43C,EAAE,mBAAmB,CAACr4C,CAAC,EAAEF,CAAC,EAAEY,EAAEtC,EAAEqC,GAAG,OAAOC,EAAEq9F,GAAG,CAAC,OAAO,CAAC,EAAE3/F,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,KAAK0C,CAAC,CAAC,CAAC,EAAEV,EAAE,KAAKW,CAAC,EAAEV,EAAEq4C,EAAE,iBAAiB,EAAEv4C,CAAC,EAAE,IAAI,IAAIa,EAAE03C,EAAE,aAAa,gBAAgB33C,EAAE,MAAMV,EAAE,CAAC,EAAEY,EAAE+jB,EAAE,cAAc,CAACjkB,EAAE,MAAMV,EAAE,CAAC,EAAEa,EAAEq8F,GAAG,CAAC,OAAO,CAAC,EAAEx8F,CAAC,EAAE,QAAQ3C,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG6C,CAAC,CAAC,CAAC,CAAC,EAAEb,EAAE,KAAKc,CAAC,EAAE,IAAIkB,EAAE0mB,GAAGrqB,EAAE,KAAK,EAAE,EAAE,CAACqE,EAAEC,EAAEC,EAAE0C,EAAExC,IAAI,CAAC,IAAIyC,EAAE7C,EAAE,MAAM,GAAGK,EAAEL,EAAE,MAAM,GAAGM,EAAEs1C,EAAE,aAAa,8BAA8Bv1C,EAAED,CAAC,EAAEG,EAAE,CAAC,WAAWD,EAAE,OAAOD,EAAE,UAAUwC,EAAE,YAAYzC,CAAC,EAAEI,EAAE,IAAI65G,IAAG95G,EAAEN,CAAC,EAAEQ,EAAEnF,EAAE,cAAckF,EAAE,CAACR,EAAEE,CAAC,EAAE0C,CAAC,EAAE,GAAGtF,EAAE,KAAKmD,CAAC,EAAEA,EAAE,MAAM,KAAKL,EAAE,OAAOK,EAAE,IAAIC,EAAE+xG,GAAG,CAAC,QAAQn3G,EAAE,MAAM,CAAC,MAAM,EAAE,KAAK8E,EAAE,KAAK,EAAE,MAAM,SAAS,CAAC,CAAC,EAAEiD,EAAEi2G,GAAG,CAAC,OAAO,CAAC,EAAE54G,CAAC,EAAE,QAAQpF,EAAE,MAAM,CAAC,KAAK,CAAC+E,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAE,OAAOhD,EAAE,KAAKoD,CAAC,EAAEpD,EAAE,KAAK+F,CAAC,EAAE,EAAE5C,EAAER,EAAEoD,EAAET,EAAExC,CAAC,CAAC,EAAEuC,EAAE,EAAEvE,EAAE,qBAAqB,EAAEkB,EAAE,CAAC,EAAEa,EAAEs6F,GAAG,CAAC,OAAO,CAAC,EAAA93F,CAAC,EAAE,QAAQrH,EAAE,MAAM,CAAC,MAAM4C,CAAC,CAAC,CAAC,EAAE6B,EAAEI,EAAE,GAAGnC,GAAG,KAAK,CAACV,EAAE,KAAK6C,CAAC,EAAE,IAAIH,EAAE41C,EAAE,uBAAuB53C,CAAC,EAAE+B,EAAEu7F,GAAG,CAAC,OAAO,CAACv7F,CAAG,EAAE,QAAQzE,EAAE,MAAM,CAAC,KAAK0E,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO1C,EAAE,QAAQ0C,GAAG1E,EAAE,8BAA8B0E,CAAC,CAAC,EAAED,CAAC,CAAC,IAAIw6G,IAAG,CAAC,WAAW35F,GAAG,YAAY,QAAQ,WAAW05F,GAAG,EAAME,IAAI,CAAC7e,GAAGG,GAAGG,GAAGG,GAAGG,GAAGI,GAAGE,GAAGE,GAAGO,GAAGE,GAAGG,GAAGG,GAAGG,GAAGI,GAAGG,GAAGI,GAAGE,GAAGI,GAAGE,GAAGE,GAAGI,GAAGS,GAAGE,GAAGE,GAAGS,GAAGG,GAAGI,GAAGlI,GAAGsI,GAAGS,GAAGS,GAAGM,GAAGE,GAAGE,GAAGE,GAAGE,GAAGG,GAAGG,GAAGG,GAAGO,GAAGE,GAAGE,GAAGG,GAAGI,GAAGI,GAAGE,GAAGG,GAAGG,GAAGE,GAAGI,IAAGI,IAAGI,IAAGG,IAAGI,IAAGE,IAAGG,IAAGI,IAAGG,IAAGE,IAAGG,IAAGI,IAAGG,IAAGK,IAAGE,IAAGG,IAAGI,IAAGI,IAAGI,IAAGlR,GAAGoR,IAAGvI,GAAG0I,IAAGG,IAAGG,IAAGvR,GAAG2R,IAAGI,IAAGE,IAAGI,IAAGG,IAAGI,IAAGG,IAAGI,IAAGI,IAAGG,IAAGG,IAAGI,IAAGE,IAAGE,IAAGI,IAAGE,IAAGE,IAAGE,IAAGE,IAAGI,IAAGI,IAAGI,IAAGY,IAAG3V,GAAG+V,IAAGG,IAAGG,IAAGG,IAAGrQ,GAAGwQ,IAAGI,IAAGE,IAAGI,IAAGI,IAAGnY,GAAGqY,IAAGE,IAAGE,IAAGE,IAAGE,IAAG9R,GAAG+O,IAAGkD,IAAGI,IAAGI,IAAG3Y,GAAG+Y,IAAGG,IAAGI,IAAGG,IAAGI,IAAGE,IAAGG,IAAGG,IAAGG,IAAGG,IAAGG,IAAGG,IAAGI,IAAGG,IAAGG,IAAGG,IAAGvW,GAAG+P,IAAG2G,IAAGE,IAAGE,IAAGE,IAAGE,IAAGE,IAAGE,IAAGE,IAAGG,IAAGG,IAAGG,IAAGE,IAAGG,IAAGE,IAAGE,IAAGE,IAAG/I,IAAGzU,GAAG2d,IAAGG,IAAGI,IAAGM,IAAGG,IAAGze,GAAG2e,IAAGE,IAAGG,IAAGnJ,GAAE,EAAE,QAAQh2G,KAAKo/G,IAAI34F,GAAGzmB,CAAC,EAAE,IAAIq/G,IAAI,SAASr/G,EAAE,CAACA,EAAEA,EAAE,QAAQ,GAAG,UAAUA,EAAEA,EAAE,MAAM,GAAG,QAAQA,EAAEA,EAAE,KAAK,GAAG,OAAOA,EAAEA,EAAE,OAAO,GAAG,SAASA,EAAEA,EAAE,UAAU,GAAG,WAAW,GAAGq/G,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAASt/G,EAAE,CAACA,EAAEA,EAAE,OAAO,GAAG,SAASA,EAAEA,EAAE,KAAK,GAAG,OAAOA,EAAEA,EAAE,MAAM,GAAG,QAAQA,EAAEA,EAAE,MAAM,GAAG,QAAQA,EAAEA,EAAE,UAAU,GAAG,YAAYA,EAAEA,EAAE,QAAQ,GAAG,UAAUA,EAAEA,EAAE,IAAI,GAAG,KAAK,GAAGs/G,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,SAASC,IAAIx/G,EAAE,CAACu/G,GAAGv/G,EAAE,KAAK,MAAM8lB,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,SAAS,QAAQ,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS25F,IAAIz/G,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,EAAE,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,GAAG1B,EAAE,QAAQ,WAAW,EAAE,QAAQ,UAAU,MAAM,IAAI,MAAM,6DAA6D,EAAE,GAAG,CAAC,WAAW2B,EAAE,WAAWC,EAAE,WAAWS,EAAE,eAAeC,CAAC,EAAEvC,EAAEwC,EAAE5C,EAAE,UAAU,IAAIK,EAAE,MAAM,EAAE,GAAGwC,EAAE7C,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG8C,EAAE,EAAE,GAAG,GAAG,KAAK,CAAC,IAAIgC,EAAE9E,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG8E,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,uDAAuDA,EAAE,MAAM,SAAS,EAAEhC,EAAEgC,EAAE,EAAE,CAAC,IAAId,EAAEjC,GAAG,KAAK,EAAE/B,EAAE,UAAU,IAAI+B,EAAE,MAAM,EAAE,GAAG,EAAEq9G,GAAG18G,GAAG,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,GAAGA,qEAAqE,EAAE,IAAI2E,EAAErF,EAAE3B,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGwE,EAAE5C,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAGwC,EAAEowB,GAAG,2BAA2Bx0B,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,CAAC,EAAEqE,EAAE1E,EAAE,WAAW,CAAC,GAAGyE,EAAE4C,EAAExC,CAAC,EAAExE,EAAE,KAAK,EAAEsE,EAAE3E,EAAE,UAAU,IAAI0E,EAAE,MAAM,EAAE,GAAGE,EAAE,IAAI,WAAW,IAAI,WAAWvE,EAAE,KAAK,EAAE,MAAM,EAAEiH,EAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,EAAE,OAAO+3G,GAAGz8G,EAAEgC,EAAEvE,EAAE,MAAM,OAAOwC,EAAEyE,EAAE,EAAE,MAAM,OAAOtF,EAAEC,EAAE,EAAEa,EAAEkB,EAAErB,GAAG,EAAEgC,CAAC,EAAED,CAAC,CAAC,IAAI86G,IAAG,CAAC,WAAW55F,GAAG,YAAY,OAAO,UAAU05F,IAAI,WAAWC,GAAG,EAAE,SAASE,GAAG3/G,EAAE,EAAE,CAAC,IAAIE,EAAE,SAASI,EAAE,EAAE,CAACJ,EAAE,EAAE,KAAK,MAAMF,EAAE,KAAK,CAAC,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASO,EAAE,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAO,CAAC,EAAE0B,CAAC,CAAC,EAAE,EAAEC,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGE,EAAE,EAAE,WAAWF,EAAE,MAAM,GAAGA,EAAE,KAAK,EAAEW,EAAE,EAAE,UAAU,IAAIT,EAAE,MAAM,EAAE,GAAG,OAAO2kB,EAAE,cAAc3kB,EAAE,KAAK,IAAI,GAAGjC,EAAEgC,EAAEm9G,GAAGp9G,EAAE,OAAOW,CAAC,EAAET,CAAC,CAAC,MAAM,CAAC,WAAWnC,EAAE,YAAY,OAAO,UAAUM,EAAE,WAAWC,CAAC,CAAC,CAAC,IAAIq/G,IAAGD,GAAGzkG,EAAE,EAAE,SAAS2kG,GAAG7/G,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAE,SAASC,EAAE,EAAE,CAACD,EAAE,EAAE,KAAK,MAAMN,EAAE,KAAK,CAAC,SAAS,QAAQ,SAAS,SAAS,QAAQ,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS,EAAE,EAAE,CAAC,GAAG,CAAC,QAAQiC,EAAE,OAAOC,CAAC,EAAE,EAAE,CAAC,EAAEC,EAAE,EAAES,CAAC,EAAEV,EAAEW,EAAEZ,EAAE,UAAU,IAAIE,EAAE,MAAM,EAAE,GAAGW,EAAEb,EAAE,UAAU,IAAIW,EAAE,MAAM,EAAE,GAAGG,EAAE7C,GAAG,KAAKA,EAAEiC,EAAE,MAAMa,EAAEw3C,EAAE,2BAA2Br4C,EAAE,MAAMS,EAAE,KAAK,EAAEsB,EAAEjC,EAAE,WAAWe,EAAED,CAAC,EAAE,GAAG+jB,EAAE,cAAc9jB,CAAC,IAAI,EAAE,OAAOkB,EAAE,IAAI,EAAE,IAAI,WAAW,IAAI,WAAW/B,EAAE,KAAK,EAAE,MAAM,EAAEoF,EAAE,IAAI,WAAW,IAAI,WAAW3E,EAAE,KAAK,EAAE,MAAM,EAAEmC,EAAE9C,EAAE,UAAU,IAAIiC,EAAE,MAAM,EAAE,GAAG,OAAW5D,EAAEuC,EAAE,EAAEV,EAAE,MAAM,OAAOW,EAAEyE,EAAE3E,EAAE,MAAM,OAAOy8G,GAAGl9G,EAAE,OAAO4C,CAAC,EAAKb,CAAC,CAAC,MAAM,CAAC,WAAWlE,EAAE,YAAY,OAAO,UAAUO,EAAE,WAAW,CAAC,CAAC,CAAC,IAAIu/G,IAAI,GAAGC,IAAGF,GAAGxkG,GAAGykG,GAAG,EAAME,GAAG,SAASC,IAAIjgH,EAAE,CAACggH,GAAGhgH,EAAE,KAAK,MAAMsb,GAAG,KAAK,CAAC,QAAQ,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS4kG,IAAIlgH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAEM,EAAEJ,EAAE,WAAW,EAAE,GAAG,MAAM,EAAE,GAAG,KAAK,EAAE,GAAG4mB,EAAE,cAAcxmB,EAAE,KAAK,IAAI,EAAE,OAAOA,EAAE,IAAIC,EAAE,EAAE,IAAI0B,GAAG/B,EAAE,UAAU,IAAI+B,EAAE,MAAM,EAAE,EAAE,EAAE,EAAE,IAAI,WAAW,IAAI,WAAW1B,CAAC,EAAE,MAAM,EAAE,EAAEL,EAAE,UAAU,IAAII,EAAE,MAAM,EAAE,GAAG,OAAO0/G,GAAG,EAAEz/G,EAAE,OAAO8+G,GAAG/+G,EAAE,OAAO,CAAC,EAAEA,CAAC,CAAC,IAAI6/G,IAAG,CAAC,WAAW7kG,GAAG,YAAY,OAAO,UAAU2kG,IAAI,WAAWC,GAAG,EAAE,SAASE,GAAGpgH,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQE,CAAC,EAAEF,EAAE,GAAG,EAAE,QAAQ,SAAS,OAAOusB,GAAGrsB,EAAE,SAAS,EAAE,MAAM,EAAE,EAAE,MAAM,EAAE,KAAK,EAAE,IAAII,EAAEJ,EAAE,WAAW,EAAE,MAAM,EAAE,KAAK,EAAEK,EAAEL,EAAE,mBAAmB,CAAC,EAAE,OAAOA,EAAE,mBAAmBI,CAAC,EAAE,IAAIC,CAAC,EAAED,CAAC,CAAC,IAAI+/G,IAAG,CAAC,WAAW/gG,GAAG,YAAY,OAAO,WAAW8gG,EAAE,EAAME,GAAG,SAASC,IAAIvgH,EAAE,CAACsgH,GAAGtgH,EAAE,KAAK,MAAMqlB,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,SAAS,SAAS,QAAQ,QAAQ,CAAC,CAAC,CAAC,SAASm7F,GAAGxgH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAACO,EAAE,CAAC,EAAEkgH,IAAI,EAAE,EAAE,MAAMngH,EAAE,IAAI,EAAE,EAAE,GAAG,QAAQ0C,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,EAAEA,KAAKA,IAAI,EAAE,IAAI,IAAIf,EAAEy+G,IAAI,EAAE,EAAE,MAAMpgH,EAAE,IAAI,EAAE4B,EAAE,CAAC,OAAO,EAAE,EAAE,OAAO,MAAM3B,EAAE,MAAM,EAAE,EAAE,KAAK,EAAE,GAAG,EAAE,CAAC,IAAIyC,EAAEo9G,GAAG,CAAC,OAAO,EAAE,QAAQlgH,CAAC,CAAC,EAAE,OAAO8C,EAAE,MAAMf,EAAEe,CAAC,CAAC,IAAIb,EAAEjC,EAAE,WAAW+B,EAAEC,EAAE,KAAK,EAAEU,EAAE1C,EAAE,UAAU,IAAIgC,EAAE,MAAM,EAAE,GAAGW,EAAE3C,EAAE,UAAU,IAAIiC,EAAE,MAAM,EAAE,GAAGW,EAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,EAAEC,EAAE,IAAI,WAAW,IAAI,WAAWb,EAAE,KAAK,EAAE,MAAM,EAAE,OAAOo+G,GAAG19G,EAAEG,EAAEb,EAAE,MAAM,OAAOm9G,GAAGn9G,EAAE,OAAOW,EAAEC,EAAE,EAAE,MAAM,EAAEX,CAAC,CAAC,SAASu+G,IAAI1gH,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,MAAMF,EAAE,MAAM,EAAE,QAAQM,EAAE,EAAEA,EAAEJ,EAAE,OAAOI,IAAIJ,EAAEI,GAAGN,EAAE,EAAEM,IAAI,OAAOJ,CAAC,CAAC,SAASugH,IAAIzgH,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEI,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEP,EAAE,OAAO,EAAEO,EAAEP,EAAEO,KAAK,GAAGL,EAAE,KAAKF,EAAEO,EAAE,EAAEP,EAAE,EAAEO,MAAM,GAAGD,EAAE,KAAK,EAAEC,EAAE,EAAE,QAAQA,EAAE,EAAEA,EAAED,EAAE,OAAO,EAAEC,EAAE,CAAC,IAAI,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAED,EAAE,OAAO,EAAE,EAAEA,EAAE,IAAIC,IAAI,IAAI,IAAID,EAAE,GAAGA,EAAE,MAAM,EAAE,GAAGA,EAAE,GAAGC,CAAC,CAAC,MAAM,CAACL,EAAEI,CAAC,CAAC,CAAC,IAAIqgH,IAAG,CAAC,WAAWt7F,GAAG,YAAY,OAAO,WAAWm7F,GAAG,UAAUD,GAAG,EAAE,SAASK,GAAG5gH,EAAE,EAAEE,EAAE,CAAC,IAAII,EAAEN,EAAE,MAAMO,EAAEP,EAAE,MAAM,OAAO,EAAE8mB,EAAE,eAAe,EAAExmB,CAAC,EAAE,EAAE,EAAE2B,EAAEu4C,EAAE,mBAAmB,EAAEj6C,CAAC,EAAE2B,EAAE,KAAKC,EAAE,GAAG,GAAGF,GAAG,KAAK,CAAC,IAAIW,EAAE,IAAI,MAAMrC,CAAC,EAAE,QAAQwC,EAAE,EAAEA,EAAEH,EAAE,OAAOG,IAAIH,EAAEG,GAAGzC,EAAE2B,EAAEc,IAAI,EAAEy3C,EAAE,iBAAiB,EAAE,OAAOj6C,CAAC,EAAE2B,EAAEs+G,GAAG,CAAC,OAAO,CAAC,EAAExgH,CAAC,EAAE,MAAM,CAAC,KAAKiC,CAAC,EAAE,QAAQ/B,CAAC,CAAC,EAAE,IAAI2C,EAAE3C,EAAE,UAAU,IAAIF,EAAE,MAAM,EAAE,GAAGE,EAAE,UAAU,IAAIgC,EAAE,MAAM,EAAE,KAAKW,IAAIV,EAAE,GAAG,CAAC,MAAM,CAAC,WAAWD,EAAE,aAAa,EAAE,KAAK,EAAE,mBAAmBC,CAAC,CAAC,CAAC,IAAI0+G,GAAG,SAASC,IAAI9gH,EAAE,CAAC6gH,GAAG7gH,EAAE,KAAK,MAAMub,GAAG,KAAK,CAAC,wBAAwB,CAAC,CAAC,CAAC,SAASwlG,IAAI/gH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,KAAKO,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEJ,EAAEgC,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,EAAE,EAAE,CAAC,WAAWU,EAAE,KAAK,EAAE,aAAaE,EAAE,mBAAmBC,CAAC,EAAE69G,GAAG,EAAErgH,EAAE,CAAC,EAAE,GAAGwC,EAAE,CAAC,IAAI4B,EAAE,EAAE,UAAU,IAAI/B,EAAE,MAAM,EAAE,GAAG,EAAEA,EAAEV,EAAEyC,CAAC,CAAC,IAAI3B,EAAE,EAAE,MAAM,OAAOw3C,EAAE,2BAA2B,MAAM,EAAEx3C,CAAC,EAAE,GAAG,CAACkB,EAAEC,CAAC,EAAEq2C,EAAE,0BAA0B,EAAE,MAAM,CAAC,EAAEjzC,EAAEuf,EAAE,cAAc3iB,CAAC,EAAE,EAAE,EAAE,WAAWD,EAAE,EAAE,KAAK,EAAE,GAAG4iB,EAAE,cAAc,EAAE,KAAK,IAAI,EAAE,CAAC,IAAIniB,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGk8G,GAAG3+G,EAAEqF,EAAE5C,CAAC,CAAC,CAAC,GAAG5B,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAE,EAAE,CAAC,IAAI+B,EAAE61C,EAAE,qBAAqB,EAAE,MAAM13C,CAAC,EAAE,EAAE,MAAM6B,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIq8G,IAAG,CAAC,WAAWzlG,GAAG,YAAY,OAAO,UAAUulG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIlhH,EAAE,CAACihH,GAAGjhH,EAAE,KAAK,MAAMwb,GAAG,KAAK,CAAC,wBAAwB,CAAC,CAAC,CAAC,SAAS2lG,IAAInhH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,KAAKO,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEJ,EAAEgC,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,EAAE,EAAE,CAAC,WAAWU,EAAE,KAAK,EAAE,aAAaE,EAAE,mBAAmBC,CAAC,EAAE69G,GAAG,EAAErgH,EAAE,CAAC,EAAE,GAAGwC,EAAE,CAAC,IAAI4B,EAAE,EAAE,UAAU,IAAI/B,EAAE,MAAM,EAAE,GAAG,EAAEA,EAAEV,EAAEyC,CAAC,CAAC,IAAI3B,EAAE,EAAE,MAAM,OAAOw3C,EAAE,2BAA2B,MAAM,EAAEx3C,CAAC,EAAE,GAAG,CAACkB,EAAEC,CAAC,EAAEq2C,EAAE,0BAA0B,EAAE,MAAM,CAAC,EAAEjzC,EAAEuf,EAAE,cAAc3iB,CAAC,EAAE,EAAE,EAAE,WAAWD,EAAE,EAAE,KAAK,EAAE,GAAG4iB,EAAE,cAAc,EAAE,KAAK,IAAI,EAAE,CAAC,IAAIniB,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGs8G,GAAG/+G,EAAEqF,EAAE5C,CAAC,CAAC,CAAC,GAAG5B,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAE,EAAE,CAAC,IAAI+B,EAAE61C,EAAE,qBAAqB,EAAE,MAAM13C,CAAC,EAAE,EAAE,MAAM6B,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIy8G,IAAG,CAAC,WAAW5lG,GAAG,YAAY,OAAO,UAAU0lG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIthH,EAAE,CAACqhH,GAAGrhH,EAAE,KAAK,MAAMyb,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS8lG,IAAIvhH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,KAAKO,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEJ,EAAE,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG+B,EAAE,EAAEC,EAAE,EAAE,CAAC,WAAWC,EAAE,KAAKS,EAAE,mBAAmBC,CAAC,EAAE+9G,GAAG,EAAErgH,EAAE,CAAC,EAAE,GAAGsC,EAAE,CAAC,IAAI0E,EAAE,EAAE,UAAU,IAAIpF,EAAE,MAAM,EAAE,GAAGoF,IAAI,IAAIrF,EAAEC,EAAEF,EAAEsF,EAAE,CAAC,IAAIzE,EAAEZ,EAAE,MAAM,MAAM,EAAE,EAAE,EAAEa,EAAE,EAAE,WAAWD,EAAE,OAAO,EAAEE,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGmB,EAAE4iB,EAAE,cAAc/jB,EAAE,KAAK,EAAE,EAAEb,EAAE,MAAMU,EAAE,IAAI,OAAOy+G,GAAGp/G,EAAEo9G,GAAGn9G,EAAE,OAAOgC,EAAE,EAAElB,CAAC,EAAEH,GAAG,EAAE,YAAYV,EAAE,MAAM,EAAEY,CAAC,CAAC,IAAIy+G,IAAG,CAAC,WAAW/lG,GAAG,YAAY,OAAO,WAAW8lG,IAAI,UAAUD,GAAG,EAAMG,GAAG,SAASC,IAAI1hH,EAAE,CAACyhH,GAAGzhH,EAAE,KAAK,MAAMgc,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS2lG,IAAI3hH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQI,CAAC,EAAEN,EAAEO,EAAE,EAAE,EAAE,EAAED,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAG,CAAC,WAAW,EAAE,QAAQ0B,EAAE,IAAIC,EAAE,gBAAgBC,CAAC,EAAEjC,EAAE0C,EAAE43C,EAAE,kBAAkBj6C,EAAE,MAAM,EAAE0B,EAAE,EAAEC,EAAEC,CAAC,EAAEU,EAAED,EAAE,aAAaE,EAAEF,EAAE,YAAYG,EAAEH,EAAE,QAAQ,IAAII,EAAEJ,EAAE,QAAQ,MAAMsB,EAAEtB,EAAE,QAAQ,OAAO,EAAEA,EAAE,QAAQ,KAAK2E,EAAE3E,EAAE,aAAamC,EAAEnC,EAAE,YAAY+B,EAAE/B,EAAE,WAAW,GAAGA,EAAE,aAAa,eAAe,MAAM,IAAI,MAAM,6CAA6CA,EAAE,yCAAyC,EAAE,GAAGA,EAAE,gBAAgB,GAAGA,EAAE,iBAAiB,EAAE,MAAM,IAAI,MAAM,0EAA0EA,EAAE,mBAAmBA,EAAE,iBAAiB,EAAE,IAAIgC,EAAEtE,EAAE,WAAWsC,EAAE,SAAS,SAAS,EAAEiC,EAAEvE,EAAE,UAAU,IAAIsE,EAAE,MAAM,EAAE,GAAG,OAAO68G,GAAG,EAAElhH,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGsC,EAAEC,EAAEC,EAAEC,EAAEkB,EAAE,EAAEqD,EAAExC,EAAEJ,EAAEE,CAAC,EAAED,CAAC,CAAC,IAAIg9G,IAAG,CAAC,WAAW5lG,GAAG,YAAY,OAAO,UAAU0lG,IAAI,WAAWC,GAAG,EAAE,SAASE,GAAG7hH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,EAAEM,CAAC,EAAE,EAAE,CAAC,MAAMC,CAAC,EAAEL,EAAE,EAAE4mB,EAAE,cAAcxmB,EAAE,KAAK,EAAE,EAAEwmB,EAAE,uBAAuBvmB,EAAE,CAAC,EAAE,OAAOumB,EAAE,OAAO,IAAIA,EAAE,cAAc,CAAC,EAAE,IAAI,cAAc,iBAAiBxmB,EAAE,uEAAuE,EAAEN,EAAE,QAAQ,OAAOM,EAAE,MAAM,EAAE,CAAC,OAAOA,EAAE,OAAO,MAAM,EAAE,MAAMA,EAAE,KAAK,CAAC,CAAC,IAAIwhH,IAAG,CAAC,WAAWl/F,GAAG,YAAY,OAAO,WAAWi/F,EAAE,EAAME,GAAG,SAASC,IAAIhiH,EAAE,CAAC+hH,GAAG/hH,EAAE,KAAK,MAAMoc,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,SAAS,QAAQ,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS6lG,IAAIjiH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,WAAW0B,CAAC,EAAE3B,EAAE,GAAGC,EAAE,QAAQ,WAAW,EAAE,QAAQ,UAAU,MAAM,IAAI,MAAM,4DAA4D,EAAE,IAAI2B,EAAE3B,EAAE,MAAM,OAAO4B,EAAE,EAAE,MAAM,OAAOS,EAAE,EAAErC,EAAE,MAAM2B,EAAE,GAAG3B,EAAE,MAAM2B,EAAE,GAAGW,EAAEZ,EAAE,EAAE,MAAME,EAAE,GAAG,EAAE,MAAMA,EAAE,GAAGW,EAAE,EAAEvC,EAAE,MAAM2B,EAAE,GAAG3B,EAAE,MAAM2B,EAAE,GAAGa,EAAEd,EAAE,EAAE,MAAME,EAAE,GAAG,EAAE,MAAMA,EAAE,GAAGa,EAAEzC,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE2D,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAE4iB,EAAE,cAAc9jB,CAAC,EAAEuE,EAAEuf,EAAE,cAAc5iB,CAAC,EAAES,EAAEowB,GAAG,2BAA2Bx0B,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,CAAC,EAAE,OAAO,CAACuC,EAAEC,CAAC,CAAC,EAAE+jB,EAAE,OAAOlkB,IAAIC,EAAE,IAAI,kCAAkCD,WAAWC,6BAA6BtC,EAAE,aAAa,EAAE,wBAAwB,oBAAoB0B,eAAe,EAAE,IAAI2C,EAAE,EAAE,CAAC,EAAEhC,EAAEE,CAAC,EAAE,CAAC,EAAEA,EAAEF,CAAC,EAAEiC,EAAE5C,EAAE,CAACsF,EAAExE,EAAEF,CAAC,EAAE,CAAC0E,EAAE1E,EAAEE,CAAC,EAAE+B,EAAE+8G,GAAG,CAAC,OAAO,CAAC,EAAEthH,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAM0E,CAAC,CAAC,CAAC,EAAE4C,EAAEq6G,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ3hH,EAAE,MAAM,CAAC,MAAM2E,CAAC,CAAC,CAAC,EAAEG,EAAE9E,EAAE,UAAU,IAAI4E,EAAE,MAAM,EAAE,GAAG2C,EAAEvH,EAAE,UAAU,IAAIsH,EAAE,MAAM,EAAE,GAAGvC,EAAE,EAAEH,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGI,EAAEjD,EAAEuF,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGrC,EAAE,KAAK,IAAI,EAAEoC,CAAC,EAAEnC,EAAElF,EAAE,WAAW,CAACiF,EAAEF,EAAEC,CAAC,EAAEJ,EAAE,KAAK,EAAEO,EAAEnF,EAAE,UAAU,IAAIkF,EAAE,MAAM,EAAE,GAAGE,EAAE,IAAI,WAAW,IAAI,WAAWR,EAAE,KAAK,EAAE,MAAM,EAAEmD,EAAE,IAAI,WAAW,IAAI,WAAWT,EAAE,KAAK,EAAE,MAAM,EAAE,OAAOu6G,GAAG/8G,EAAEM,EAAER,EAAE,MAAM,OAAO2C,EAAEQ,EAAET,EAAE,MAAM,OAAO,EAAEvF,EAAEoD,CAAC,EAAEnF,EAAE,YAAY4E,EAAE,MAAM,EAAE5E,EAAE,YAAYsH,EAAE,MAAM,EAAEpC,EAAE,MAAMT,EAAES,CAAC,CAAC,IAAI88G,IAAG,CAAC,WAAW9lG,GAAG,YAAY,OAAO,UAAU4lG,IAAI,WAAWC,GAAG,EAAE,SAASE,GAAGniH,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,MAAM,CAAC,MAAME,EAAE,KAAKI,CAAC,EAAE,QAAQC,CAAC,EAAEP,EAAE,CAAC,EAAE,CAAC,EAAEo2B,GAAG,iBAAiB,EAAEl2B,EAAEI,CAAC,EAAE2B,EAAEm0B,GAAG,iBAAiB,EAAE,MAAM,EAAE,CAAC,EAAEl0B,EAAE3B,EAAE,SAAS,EAAE,MAAM,EAAE4B,EAAE5B,EAAE,WAAW,EAAE,EAAE,KAAK,EAAEqC,EAAEkkB,EAAE,eAAe,EAAE,KAAK,EAAEjkB,EAAEtC,EAAE,UAAU,IAAI4B,EAAE,MAAM,EAAE,GAAGF,EAAE,CAAC,IAAIe,EAAEozB,GAAG,kBAAkB,EAAExzB,CAAC,EAAE,OAAO,EAAE,QAAQ,SAASC,EAAE,YAAYX,EAAE,MAAMc,EAAEA,EAAE8jB,EAAE,cAAc,CAAC,CAAC,EAAEvmB,EAAE,mBAAmB4B,CAAC,EAAE,IAAID,EAAE,SAASc,EAAEA,EAAE8jB,EAAE,cAAc,CAAC,CAAC,CAAC,EAAE3kB,CAAC,CAAC,GAAG,EAAE,QAAQ,SAAS,CAAC,IAAIa,EAAE8wE,GAAG5xE,EAAE,EAAE,EAAE,EAAE,MAAM,EAAE,KAAK,EAAE,OAAOW,EAAE,YAAYG,EAAEb,CAAC,CAAC,IAAIW,EAAEvC,EAAE,mBAAmB4B,CAAC,EAAEY,EAAE,EAAE,MAAM,OAAO,GAAGA,IAAI,EAAEq/G,IAAIlgH,EAAEU,EAAE,GAAGE,EAAE,EAAE,CAAC,UAAUC,IAAI,EAAEs/G,IAAIngH,EAAEU,EAAE,GAAGA,EAAE,GAAGE,EAAE,EAAE,CAAC,UAAUC,IAAI,EAAEu/G,IAAIpgH,EAAEU,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAGE,EAAE,EAAE,CAAC,MAAM,CAAC,IAAIE,EAAE8wE,GAAG5xE,EAAE,EAAE,EAAE,EAAE,MAAM,EAAE,KAAK,EAAEY,EAAE,IAAIE,CAAC,CAAC,CAAC,OAAOb,CAAC,CAAC,SAASigH,IAAIpiH,EAAE,EAAEE,EAAEI,EAAEC,EAAE,CAAC,IAAI,EAAE,EAAE,EAAED,EAAE,GAAG2B,EAAE3B,EAAE,GAAG4B,EAAE,EAAE3B,EAAE,GAAG,QAAQ4B,EAAE,EAAEA,EAAED,EAAEC,IAAI,CAAC,IAAIS,EAAET,EAAE,EAAEF,EAAE/B,EAAE,IAAIF,EAAE,SAAS4C,EAAEA,EAAErC,EAAE,EAAE,EAAE,CAAC,EAAE,GAAGA,EAAE,EAAE,CAAC,CAAC,SAAS8hH,IAAIriH,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAE,EAAE0B,EAAE1B,EAAE,GAAG2B,EAAE3B,EAAE,GAAG4B,EAAE5B,EAAE,GAAGqC,EAAEX,EAAE,EAAE,GAAGY,EAAEX,EAAE,EAAE,GAAG,QAAQY,EAAEb,EAAEa,EAAEF,EAAEE,IAAI,QAAQC,EAAEb,EAAEa,EAAEF,EAAEE,IAAI,CAAC,IAAIC,EAAEF,EAAE,EAAEC,EAAE7C,EAAEiC,EAAE7B,EAAE,IAAIN,EAAE,SAASgD,EAAEA,EAAE,EAAE,EAAE,EAAE,CAAC,EAAE,GAAG,EAAE,EAAE,CAAC,CAAC,SAASs/G,IAAItiH,EAAE,EAAEE,EAAEI,EAAEC,EAAE,EAAE,EAAE,CAAC,IAAI0B,EAAE,EAAEC,EAAE,EAAE,GAAGC,EAAE,EAAE,GAAGS,EAAE,EAAE,GAAGC,EAAEX,EAAE,EAAE,GAAGY,EAAEX,EAAE,EAAE,GAAGY,EAAEH,EAAE,EAAE,GAAGI,EAAE,EAAE,GAAG,QAAQkB,EAAEhC,EAAEgC,EAAErB,EAAEqB,IAAI,QAAQ,EAAE/B,EAAE,EAAEW,EAAE,IAAI,QAAQyE,EAAE3E,EAAE2E,EAAExE,EAAEwE,IAAI,CAAC,IAAIxC,EAAEb,EAAE,EAAE,EAAEhE,EAAEqH,EAAEjH,EAAE0C,EAAEzC,EAAE,IAAIP,EAAE,SAAS+E,EAAEA,EAAE,EAAE,EAAE,EAAE9C,CAAC,EAAEA,GAAG,EAAE,EAAE,CAAC,CAAC,IAAIsgH,IAAG,CAAC,WAAW9+F,GAAG,YAAY,OAAO,WAAW0+F,EAAE,EAAE,SAASK,IAAIxiH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,MAAM,CAAC,EAAED,EAAE2B,EAAE,EAAE,OAAO,CAACsF,EAAExC,IAAIwC,EAAExC,CAAC,EAAE7C,EAAEs4C,EAAE,YAAYj6C,EAAE,MAAM,EAAE0B,CAAC,EAAEE,EAAEq4C,EAAE,YAAYt4C,EAAE,OAAO,EAAE,MAAM,EAAEU,EAAE43C,EAAE,oBAAoBj6C,EAAE,MAAM,EAAE0B,CAAC,EAAEY,EAAE23C,EAAE,oBAAoB,EAAE,EAAE,MAAM,EAAE13C,EAAE03C,EAAE,aAAa53C,EAAE,EAAE,EAAE,MAAM,EAAEG,EAAE8+G,GAAG,CAAC,OAAO,CAAC,EAAEthH,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,MAAMgC,CAAC,CAAC,CAAC,EAAEc,EAAEw9G,GAAG,CAAC,OAAO,CAAC,EAAEz9G,CAAC,EAAE,QAAQ7C,EAAE,MAAM,CAAC,KAAKiC,CAAC,CAAC,CAAC,EAAE+B,EAAE29G,GAAG,CAAC,OAAO,CAAC,EAAE7+G,CAAC,EAAE,QAAQ9C,EAAE,MAAM,CAAC,MAAM0C,CAAC,CAAC,CAAC,EAAE,EAAEu/G,GAAG,CAAC,OAAO,CAAC,EAAEj+G,CAAC,EAAE,QAAQhE,EAAE,MAAM,CAAC,MAAM2C,EAAE,KAAKC,CAAC,CAAC,CAAC,EAAE,OAAO5C,EAAE,YAAY6C,EAAE,MAAM,EAAE7C,EAAE,YAAY8C,EAAE,MAAM,EAAE9C,EAAE,YAAY6C,EAAE,MAAM,EAAE,CAAC,CAAC,IAAI0/G,IAAG,CAAC,WAAWpmG,GAAG,YAAY,OAAO,WAAWmmG,GAAG,EAAE,SAASE,GAAG1iH,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,MAAM,CAAC,MAAME,CAAC,EAAE,QAAQI,CAAC,EAAEN,EAAEO,EAAED,EAAE,WAAW,EAAE,MAAMJ,CAAC,EAAE,EAAEI,EAAE,mBAAmB,CAAC,EAAE,OAAOA,EAAE,mBAAmBC,CAAC,EAAE,IAAI,CAAC,EAAEA,CAAC,CAAC,IAAIoiH,IAAG,CAAC,WAAWlmG,GAAG,YAAY,OAAO,WAAWimG,EAAE,EAAME,IAAGjD,GAAGjjG,EAAE,EAAMmmG,GAAG,SAASC,IAAI9iH,EAAE,CAAC6iH,GAAG7iH,EAAE,KAAK,MAAM2c,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASomG,IAAI/iH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,aAAa,EAAE,aAAa,CAAC,EAAED,EAAE2B,EAAE/B,EAAE,UAAU,IAAIK,EAAE,MAAM,EAAE,GAAG2B,EAAEhC,EAAE,WAAWK,EAAE,MAAMA,EAAE,KAAK,EAAE4B,EAAEjC,EAAE,UAAU,IAAIgC,EAAE,MAAM,EAAE,GAAG,OAAO2gH,GAAG5gH,EAAE,EAAE,EAAEE,CAAC,EAAED,CAAC,CAAC,IAAI8gH,IAAG,CAAC,WAAWrmG,GAAG,YAAY,OAAO,UAAUmmG,IAAI,WAAWC,GAAG,EAAE,SAASE,GAAGjjH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAEM,EAAEwmB,EAAE,eAAe9mB,EAAE,MAAM,KAAK,EAAE,GAAG,KAAK,EAAE,GAAGO,EAAE,EAAE,IAAIwC,GAAGA,EAAE,KAAK,EAAEy3C,EAAE,uBAAuBj6C,EAAED,CAAC,EAAE,IAAI,EAAEk6C,EAAE,gBAAgB,EAAE,IAAIz3C,GAAGA,EAAE,KAAK,EAAEzC,CAAC,EAAE,EAAE,EAAE,OAAOyC,GAAG+jB,EAAE,cAAc/jB,EAAE,KAAK,EAAE,CAAC,EAAE,GAAG,EAAE,SAAS,EAAE,OAAOq9G,GAAG,CAAC,OAAO,CAAC,EAAE,EAAE,EAAE,EAAE,QAAQlgH,CAAC,CAAC,EAAE,IAAI+B,EAAE/B,EAAE,WAAW,EAAE,EAAE,GAAG,KAAK,EAAE,GAAG4mB,EAAE,cAAc,CAAC,IAAI,EAAE,OAAO7kB,EAAE,GAAG,EAAE,GAAG,QAAQ,SAAS,CAAC,IAAIc,EAAE,EAAE,IAAI4B,GAAG,CAAC,IAAIC,EAAEkiB,EAAE,cAAcniB,EAAE,MAAM,MAAMrE,CAAC,CAAC,EAAE,OAAOuhH,GAAG,CAAC,OAAO,CAACl9G,CAAG,EAAE,QAAQzE,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG0E,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE5B,EAAED,EAAE,IAAI4B,IAAI,CAAC,KAAKzE,EAAE,SAASyE,EAAE,MAAM,EAAE,MAAMA,EAAE,KAAK,EAAE,EAAE,EAAE61C,EAAE,gBAAgBz3C,EAAE,IAAI4B,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAE,IAAIT,EAAEnB,EAAE,GAAG,MAAM,KAAK,EAAE,EAAEmvE,GAAGlvE,EAAE,EAAE,EAAE,GAAG,MAAMkB,CAAC,EAAEqD,EAAEizC,EAAE,gBAAgB,EAAE,IAAI71C,GAAGA,EAAE,KAAK,EAAErE,CAAC,EAAE2B,EAAE,MAAMsF,EAAE,IAAIxC,EAAE7E,EAAE,UAAU,IAAI+B,EAAE,MAAM,EAAE,OAAO8C,EAAE,YAAYy1C,EAAE,uBAAuB,CAAC,EAAEz3C,EAAE,QAAQ4B,GAAGzE,EAAE,YAAYyE,EAAE,MAAM,CAAC,EAAE1C,CAAC,CAAC,IAAIC,EAAE4kB,EAAE,cAAc,EAAE,GAAG,MAAM,MAAM,EAAExmB,CAAC,CAAC,EAAE6B,EAAE,EAAES,EAAE,EAAE,IAAIG,GAAG,CAAC,IAAIC,EAAE8jB,EAAE,cAAc/jB,EAAE,MAAM,MAAMzC,CAAC,CAAC,EAAE,OAAO6B,GAAGa,EAAEA,CAAC,CAAC,EAAEH,EAAE,EAAE,IAAIE,GAAG7C,EAAE,mBAAmB6C,CAAC,CAAC,EAAED,EAAE5C,EAAE,mBAAmB+B,CAAC,EAAE,QAAQc,EAAE,EAAEA,EAAEb,EAAEa,IAAI,CAAC,IAAIC,EAAED,EAAEZ,EAAE,QAAQ+B,EAAE,EAAEA,EAAErB,EAAE,OAAOqB,IAAI,CAAC,IAAI,EAAEtB,EAAEsB,GAAGqD,EAAExE,EAAE,EAAEgC,EAAElC,EAAEqB,GAAG,SAASqD,EAAEA,EAAE,CAAC,EAAEzE,EAAE,IAAIiC,EAAE/B,CAAC,EAAEA,GAAG,CAAC,CAAC,CAAC,OAAOf,CAAC,CAAC,IAAIihH,IAAG,CAAC,WAAWpmG,GAAG,YAAY,OAAO,WAAWmmG,EAAE,EAAME,GAAG,SAASC,IAAIpjH,EAAE,CAACmjH,GAAGnjH,EAAE,KAAK,MAAM+c,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASsmG,IAAIrjH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,CAAC,EAAE,EAAE,EAAED,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAG0B,EAAE3B,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,CAAC,QAAQ4B,EAAE,UAAUC,EAAE,IAAIS,EAAE,gBAAgBC,EAAE,WAAWC,CAAC,EAAE5C,EAAE6C,EAAEy3C,EAAE,wBAAwB13C,CAAC,EAAEE,EAAEw3C,EAAE,kBAAkBj6C,EAAE,MAAM,EAAE,MAAM2B,EAAEC,EAAES,EAAEC,EAAE,GAAGE,CAAC,EAAEmB,EAAElB,EAAE,aAAa,EAAEA,EAAE,YAAYuE,EAAEvE,EAAE,QAAQ,IAAI+B,EAAE/B,EAAE,QAAQ,MAAM2B,EAAE3B,EAAE,QAAQ,OAAO4B,EAAE5B,EAAE,QAAQ,KAAK6B,EAAE7B,EAAE,eAAe8B,EAAE9B,EAAE,cAAcwE,EAAExE,EAAE,aAAagC,EAAEhC,EAAE,YAAYyE,EAAEzE,EAAE,WAAWiC,EAAEjC,EAAE,YAAYkC,EAAElC,EAAE,QAAQ,OAAO,OAAO,EAAE,EAAE,GAAGA,EAAE,aAAa,eAAe,MAAM,IAAI,MAAM,oDAAoDA,EAAE,yCAAyC,EAAE,IAAImC,EAAE7E,EAAE,WAAW0C,EAAE,SAAS,SAAS,EAAEoC,EAAE9E,EAAE,UAAU,IAAI6E,EAAE,MAAM,EAAE,GAAG,OAAOg+G,GAAG,EAAE5iH,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG0B,EAAEiC,EAAE,EAAEqD,EAAExC,EAAEJ,EAAEC,EAAEM,EAAEL,EAAEC,EAAE0C,EAAExC,EAAEyC,EAAExC,EAAEG,CAAC,EAAED,CAAC,CAAC,IAAIm+G,IAAG,CAAC,WAAWvmG,GAAG,YAAY,OAAO,UAAUqmG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIxjH,EAAE,CAACujH,GAAGvjH,EAAE,KAAK,MAAMid,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASwmG,IAAIzjH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,GAAGO,EAAE,OAAO,CAAC,EAAEL,EAAE,CAAC,QAAQ,EAAE,IAAI+B,EAAE,WAAWC,EAAE,gBAAgBC,EAAE,WAAWS,CAAC,EAAEtC,EAAEuC,EAAE,EAAEC,EAAE03C,EAAE,wBAAwBt4C,CAAC,EAAEa,EAAEy3C,EAAE,kBAAkB53C,EAAE,EAAE,MAAM,EAAEC,EAAEZ,EAAEE,EAAE,GAAGW,CAAC,EAAE,CAAC,UAAUE,EAAE,aAAakB,EAAE,YAAY,EAAE,WAAWqD,EAAE,SAASxC,EAAE,QAAQJ,EAAE,YAAYC,EAAE,UAAUC,EAAE,SAASC,EAAE,aAAa0C,EAAE,YAAYxC,CAAC,EAAEjC,EAAE0E,EAAEvD,EAAE,EAAEnB,EAAE,QAAQ,IAAIkC,EAAE,EAAE,EAAElC,EAAE,QAAQ,KAAKmC,EAAEnC,EAAE,aAAa,eAAeoC,EAAE2hB,EAAE,eAAe/jB,EAAE,OAAO,EAAEqC,EAAE0hB,EAAE,eAAevmB,EAAE,KAAK,EAAE,CAAC8E,EAAEC,EAAE2C,CAAC,EAAE6e,EAAE,eAAe,EAAE,KAAK,EAAEnf,EAAExC,EAAE,GAAG+C,EAAEhD,EAAEC,EAAE,GAAGA,EAAE,GAAGgD,EAAGjD,EAAEC,EAAE,GAAG,EAAEiD,EAAGlD,EAAE,EAAEC,EAAE,GAAGkD,GAAGjD,EAAE,GAAGkD,GAAGpD,EAAEE,EAAE,GAAGA,EAAE,GAAGmD,GAAGrD,EAAEE,EAAE,GAAG,EAAEuB,GAAGzB,EAAE,EAAEE,EAAE,GAAGqD,GAAG,EAAE,WAAW1F,EAAE,QAAQ,SAAS,EAAE2F,GAAG,EAAE,UAAU,IAAID,GAAG,MAAM,EAAE,GAAGE,GAAG,EAAE,UAAU,IAAIpI,EAAE,MAAM,EAAE,GAAGqI,GAAG,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,OAAO26G,GAAG56G,GAAGC,GAAG5F,EAAEkB,EAAE,EAAEa,EAAEJ,EAAE4C,EAAE1C,EAAEC,EAAEF,EAAE4C,EAAExC,EAAEyC,EAAExC,EAAEI,EAAEC,EAAE2C,EAAEN,EAAEO,EAAEC,EAAGC,EAAGC,GAAGC,GAAGC,GAAG5B,GAAG+B,EAAE,EAAED,EAAE,CAAC,IAAIi7G,IAAG,CAAC,WAAWzmG,GAAG,YAAY,OAAO,UAAUumG,IAAI,WAAWC,GAAG,EAAME,IAAGhE,GAAGtiG,EAAE,EAAMumG,IAAGjE,GAAGriG,EAAE,EAAMumG,IAAI,SAAS7jH,EAAE,CAACA,EAAEA,EAAE,SAAS,GAAG,WAAWA,EAAEA,EAAE,QAAQ,GAAG,SAAS,GAAG6jH,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,SAASC,IAAI/jH,EAAE,CAAC8jH,GAAG9jH,EAAE,KAAK,MAAMyd,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,QAAQ,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASumG,IAAIhkH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,EAAE,mBAAmB,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,MAAM2B,EAAE,MAAMC,EAAE,OAAOC,CAAC,EAAEjC,EAAE0C,EAAEV,EAAE,MAAM,GAAG,CAACW,EAAEC,CAAC,EAAE,EAAEC,EAAE,CAACH,EAAEC,EAAEC,EAAEb,EAAE,MAAM,EAAE,EAAEe,EAAE,EAAE,UAAU,IAAIf,EAAE,MAAM,EAAEiC,EAAEjC,EAAE,QAAQ,YAAYiC,EAAEw+G,GAAG,CAAC,QAAQ,EAAE,OAAO,CAAC,EAAEzgH,CAAC,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAEe,EAAE,EAAE,UAAU,IAAIkB,EAAE,MAAM,GAAG,IAAI,EAAElB,EAAE,GAAGuE,EAAE,EAAE,UAAU,IAAIrF,EAAE,MAAM,EAAE,GAAG6C,EAAE,EAAE,UAAU,IAAI5C,EAAE,MAAM,EAAE,GAAGwC,EAAE,EAAE,WAAW5B,EAAE,SAAS,EAAE6B,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGE,EAAE,IAAI,WAAW,IAAI,WAAW5C,EAAE,KAAK,EAAE,MAAM,EAAE,OAAO6hH,GAAG,EAAEv8G,EAAExC,EAAEnC,EAAEiC,EAAEhC,EAAEC,EAAE+gH,GAAGtjH,GAAG,EAAEqE,CAAC,EAAEV,GAAG,MAAM,EAAE,YAAYA,EAAE,MAAM,EAAES,CAAC,CAAC,IAAIs/G,IAAG,CAAC,WAAWxmG,GAAG,YAAY,OAAO,UAAUsmG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAInkH,EAAE,CAACkkH,GAAGlkH,EAAE,KAAK,MAAMud,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS6mG,IAAIpkH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU,EAAE,QAAQ0B,CAAC,EAAE3B,EAAE4B,EAAE3B,EAAE,MAAM,OAAOumB,EAAE,OAAOvmB,EAAE,QAAQ,WAAWA,EAAE,QAAQ,QAAQ,IAAI,4BAA4BA,EAAE,mCAAmC,EAAE,IAAI4B,EAAEq4C,EAAE,mBAAmB,CAAC,CAAC,EAAEt4C,CAAC,EAAEU,EAAErC,EAAE4B,IAAI,OAAOS,EAAE49G,GAAG,CAAC,OAAO,CAAC,EAAEjgH,CAAC,EAAE,MAAM,CAAC,KAAK4B,CAAC,EAAE,QAAQjC,CAAC,CAAC,GAAG,IAAI2C,EAAE23C,EAAE,iBAAiB,EAAEt4C,CAAC,EAAE,GAAGs4C,EAAE,2BAA2B,UAAU,CAAC33C,CAAC,EAAEX,CAAC,EAAE,IAAIY,EAAE5C,EAAE,WAAW0C,EAAE,MAAMA,EAAE,KAAK,EAAEG,EAAEH,EAAE,MAAMC,GAAGG,EAAE9C,EAAE,UAAU,IAAI0C,EAAE,MAAM,EAAE,GAAGsB,EAAEhE,EAAE,UAAU,IAAI4C,EAAE,MAAM,EAAE,GAAGohH,GAAGlhH,EAAE,EAAE,EAAE,EAAEf,EAAE,EAAE,EAAEc,EAAEmB,EAAEm7G,GAAG9+G,EAAE,MAAM,EAAE,IAAI,EAAEuC,EAAE,GAAGX,IAAI,KAAK,CAAC,IAAIoF,EAAEizC,EAAE,uBAAuBr4C,CAAC,EAAE,EAAEq+G,GAAG,CAAC,OAAO,CAAC,EAAE19G,CAAC,EAAE,MAAM,CAAC,KAAKyE,CAAC,EAAE,QAAQrH,CAAC,CAAC,EAAEA,EAAE,YAAY0C,EAAE,MAAM,EAAE1C,EAAE,YAAY4C,EAAE,MAAM,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIuhH,IAAG,CAAC,WAAW9mG,GAAG,YAAY,OAAO,UAAU4mG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIvkH,EAAE,CAACskH,GAAGtkH,EAAE,KAAK,MAAMwd,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASgnG,IAAIxkH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU,EAAE,QAAQ0B,CAAC,EAAE3B,EAAE4B,EAAE3B,EAAE,MAAM,OAAOumB,EAAE,OAAOvmB,EAAE,QAAQ,WAAWA,EAAE,QAAQ,QAAQ,IAAI,2BAA2BA,EAAE,mCAAmC,EAAE,IAAI4B,EAAEq4C,EAAE,mBAAmB,CAAC,CAAC,EAAEt4C,CAAC,EAAEU,EAAErC,EAAE4B,IAAI,OAAOS,EAAE49G,GAAG,CAAC,OAAO,CAAC,EAAEjgH,CAAC,EAAE,MAAM,CAAC,KAAK4B,CAAC,EAAE,QAAQjC,CAAC,CAAC,GAAG,IAAI2C,EAAE23C,EAAE,iBAAiB,EAAEt4C,CAAC,EAAE,GAAGs4C,EAAE,2BAA2B,SAAS,CAAC33C,CAAC,EAAEX,CAAC,EAAE,IAAIY,EAAE5C,EAAE,WAAW0C,EAAE,MAAMA,EAAE,KAAK,EAAEG,EAAEH,EAAE,MAAMC,GAAGG,EAAE9C,EAAE,UAAU,IAAI0C,EAAE,MAAM,EAAE,GAAGsB,EAAEhE,EAAE,UAAU,IAAI4C,EAAE,MAAM,EAAE,GAAGwhH,GAAGthH,EAAE,EAAE,EAAE,EAAEf,EAAE,EAAE,EAAEc,EAAEmB,EAAEm7G,GAAG9+G,EAAE,MAAM,EAAE,IAAI,EAAEuC,EAAE,GAAGX,IAAI,KAAK,CAAC,IAAIoF,EAAEizC,EAAE,uBAAuBr4C,CAAC,EAAE,EAAEq+G,GAAG,CAAC,OAAO,CAAC,EAAE19G,CAAC,EAAE,MAAM,CAAC,KAAKyE,CAAC,EAAE,QAAQrH,CAAC,CAAC,EAAEA,EAAE,YAAY0C,EAAE,MAAM,EAAE1C,EAAE,YAAY4C,EAAE,MAAM,CAAC,CAAC,OAAO,CAAC,CAAC,IAAI2hH,IAAG,CAAC,WAAWjnG,GAAG,YAAY,OAAO,UAAU+mG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI3kH,EAAE,CAAC0kH,GAAG1kH,EAAE,KAAK,MAAM2d,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,SAAS,QAAQ,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASinG,IAAI5kH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAEL,EAAE,CAAC,UAAU,EAAE,WAAW,CAAC,EAAEI,EAAE2B,EAAE1B,EAAE,MAAM,GAAG2B,EAAE,IAAI,OAAO3B,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG4B,EAAE,IAAI,OAAO5B,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGqC,EAAE,IAAI,OAAOrC,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGsC,EAAEX,EAAE,EAAEY,EAAEX,EAAE,EAAEY,EAAEH,GAAG,EAAE,GAAGI,EAAE,IAAI,OAAO,CAACf,EAAEY,EAAEC,EAAEC,CAAC,EAAE,CAACd,EAAEc,EAAEF,EAAEC,CAAC,EAAEoB,EAAE,EAAE,WAAWlB,EAAE,SAAS,EAAEuE,EAAE,EAAE,UAAU,IAAIhH,EAAE,MAAM,EAAE,GAAG,EAAE,IAAI,WAAW,IAAI,WAAWumB,EAAE,eAAevmB,EAAE,KAAK,CAAC,EAAE,MAAM,EAAEoE,EAAE,IAAI,WAAW,IAAI,WAAW3B,CAAC,EAAE,MAAM,EAAE4B,EAAE,IAAI,WAAW,IAAI,WAAWkiB,EAAE,eAAe9jB,CAAC,CAAC,EAAE,MAAM,EAAE6B,EAAE,EAAE,UAAU,IAAIX,EAAE,MAAM,EAAE,GAAG,OAAOwgH,GAAGn9G,EAAE,EAAE,IAAI,OAAO,EAAE,EAAE,EAAEhH,EAAE,MAAM,OAAO,EAAEoE,EAAEC,EAAE5B,EAAE,OAAO6B,CAAC,EAAEX,CAAC,CAAC,IAAI2gH,IAAG,CAAC,WAAWlnG,GAAG,YAAY,OAAO,UAAUgnG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI/kH,EAAE,CAAC8kH,GAAG9kH,EAAE,KAAK,MAAM4d,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASonG,IAAIhlH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,CAAC,EAAE,EAAE,EAAED,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAG0B,EAAE3B,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,CAAC,QAAQ4B,EAAE,UAAUC,EAAE,IAAIS,EAAE,gBAAgBC,CAAC,EAAE3C,EAAE4C,EAAEX,GAAG,KAAK,CAAC,EAAE,CAAC,EAAEA,EAAEY,EAAEy3C,EAAE,kBAAkBj6C,EAAE,MAAM,EAAE,MAAM2B,EAAEY,EAAEF,EAAEC,EAAE,EAAE,EAAEG,EAAED,EAAE,aAAamB,EAAEnB,EAAE,YAAY,EAAEA,EAAE,QAAQ,IAAIwE,EAAExE,EAAE,QAAQ,MAAMgC,EAAEhC,EAAE,QAAQ,OAAO4B,EAAE5B,EAAE,QAAQ,KAAK6B,EAAE7B,EAAE,eAAe8B,EAAE9B,EAAE,cAAc+B,EAAE/B,EAAE,aAAayE,EAAEzE,EAAE,YAAYiC,EAAEjC,EAAE,WAAW0E,EAAE1E,EAAE,YAAYkC,EAAElC,EAAE,QAAQ,OAAO,OAAO,EAAE,EAAE,GAAGA,EAAE,aAAa,eAAe,MAAM,IAAI,MAAM,mEAAmEA,EAAE,yCAAyC,EAAE,IAAImC,EAAE5E,EAAE,WAAWyC,EAAE,SAAS,SAAS,EAAEoC,EAAE7E,EAAE,UAAU,IAAI4E,EAAE,MAAM,EAAE,GAAG,OAAO4/G,GAAG,EAAEvkH,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG0B,EAAEe,EAAEkB,EAAE,EAAEqD,EAAExC,EAAEJ,EAAEM,EAAEL,EAAEC,EAAEC,EAAE0C,EAAExC,EAAEyC,EAAEtC,CAAC,EAAED,CAAC,CAAC,IAAI+/G,IAAG,CAAC,WAAWrnG,GAAG,YAAY,OAAO,UAAUmnG,IAAI,WAAWC,GAAG,EAAME,IAAGvF,GAAGthG,EAAE,EAAM8mG,IAAI,GAAGC,IAAGvF,GAAGrhG,GAAG2mG,IAAI,MAAM,EAAME,IAAG1F,GAAGlhG,GAAG,SAAS,EAAE,SAAS6mG,GAAGtlH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQI,CAAC,EAAEN,EAAE,CAAC,MAAMO,CAAC,EAAE,EAAE,CAAC,IAAI,CAAC,EAAEL,EAAE,EAAEK,EAAE,MAAM,OAAO0B,EAAE1B,EAAE,MAAM,MAAM,EAAE2B,EAAE,EAAE,OAAO,EAAE,IAAI4kB,EAAE,OAAO,EAAE,EAAE,IAAI,EAAE,IAAI,iCAAiC,EAAE,EAAE,OAAO,IAAI,EAAE5kB,EAAE,EAAE,EAAE,GAAGD,EAAE,OAAOC,EAAE,EAAE,CAAC,EAAE2/G,GAAG,CAAC,OAAO,CAAC,EAAEthH,CAAC,EAAE,QAAQD,EAAE,MAAM,CAAC,MAAM2B,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIsjH,IAAG,CAAC,WAAW7mG,GAAG,YAAY,OAAO,WAAW4mG,EAAE,EAAE,SAASE,GAAGxlH,EAAE,CAAC,GAAG,CAAC,MAAM,CAAC,MAAM,EAAE,MAAME,EAAE,MAAMI,CAAC,EAAE,QAAQC,CAAC,EAAEP,EAAE,EAAEO,EAAE,WAAW,EAAED,CAAC,EAAE,OAAOC,EAAE,mBAAmB,CAAC,EAAE,KAAKL,CAAC,EAAE,CAAC,CAAC,IAAIulH,IAAG,CAAC,WAAW5mG,GAAG,YAAY,OAAO,WAAW2mG,EAAE,EAAME,GAAG,SAASC,IAAI3lH,EAAE,CAAC0lH,GAAG1lH,EAAE,KAAK,MAAM8e,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS8mG,IAAI5lH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMM,CAAC,EAAE,EAAEC,EAAEL,EAAE,WAAWI,EAAE,MAAMA,EAAE,KAAK,EAAE,EAAEJ,EAAE,UAAU,IAAII,EAAE,MAAM,EAAE,GAAG,EAAEJ,EAAE,UAAU,IAAIK,EAAE,MAAM,EAAE,GAAG,CAAC0B,EAAEC,EAAEC,EAAES,CAAC,EAAEtC,EAAE,MAAM,OAAOolH,GAAG,EAAEzjH,EAAEC,EAAEC,EAAES,EAAE,CAAC,EAAErC,CAAC,CAAC,IAAIslH,IAAG,CAAC,WAAW/mG,GAAG,YAAY,OAAO,WAAW8mG,IAAI,UAAUD,GAAG,EAAMG,IAAGnG,GAAG5gG,EAAE,EAAMgnG,IAAI,GAAGC,IAAGnG,GAAG7gG,GAAG+mG,GAAG,EAAME,GAAG,SAASC,IAAIlmH,EAAE,CAACimH,GAAGjmH,EAAE,KAAK,MAAMif,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASknG,IAAInmH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,gBAAgBO,CAAC,EAAED,EAAE,CAAC,EAAE,EAAE,KAAK,EAAE,SAAS2B,EAAE,OAAOC,EAAE,MAAMC,CAAC,EAAEjC,EAAE0C,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAE,EAAE,UAAU,IAAIb,EAAE,MAAM,EAAE,GAAGc,EAAEb,GAAG,KAAK,EAAE,UAAU,IAAIA,EAAE,MAAM,EAAE,GAAG,EAAEc,EAAEb,GAAG,KAAK,EAAE,UAAU,IAAIA,EAAE,MAAM,EAAE,GAAG,EAAE+B,EAAE,EAAE,WAAW,EAAE,MAAM,EAAE,KAAK,EAAE,GAAG4iB,EAAE,cAAc,EAAE,KAAK,IAAI,EAAE,OAAO5iB,EAAE,IAAI,EAAE,EAAE,UAAU,IAAIA,EAAE,MAAM,EAAE,GAAG,OAAO+hH,GAAGrjH,EAAEC,EAAEC,EAAEC,EAAEC,EAAEzC,EAAE,CAAC,EAAE2D,CAAC,CAAC,IAAIkiH,IAAG,CAAC,WAAWnnG,GAAG,YAAY,OAAO,UAAUinG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAItmH,EAAE,CAACqmH,GAAGrmH,EAAE,KAAK,MAAM+lB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASwgG,IAAIvmH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,QAAQC,EAAE,IAAIC,EAAE,UAAUS,EAAE,WAAWC,EAAE,gBAAgBC,EAAE,WAAWC,EAAE,eAAeC,CAAC,EAAE9C,EAAEgE,EAAEs2C,EAAE,kBAAkBj6C,EAAE,MAAM,EAAE,MAAM2B,EAAEU,EAAET,EAAEW,CAAC,EAAE,EAAEw8G,GAAGv8G,GAAG,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,GAAGA,qEAAqE,EAAE,IAAIwE,EAAEjH,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAGwE,EAAEzE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGqE,EAAET,EAAE,YAAYU,EAAE,EAAE,GAAG,GAAG,KAAK,CAAC,IAAI2D,GAAGjI,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGiI,GAAG,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,sDAAsDA,GAAG,MAAM,SAAS,EAAE,GAAGA,GAAG,MAAM,KAAK5D,EAAE,MAAM,IAAI,MAAM,2BAA2B4D,GAAG,wDAAwD5D,IAAI,EAAEC,EAAE2D,GAAG,EAAE,CAAC,IAAI1D,EAAEX,EAAE,aAAaY,EAAEZ,EAAE,YAAYsD,EAAEtD,EAAE,QAAQ,IAAIc,EAAEd,EAAE,QAAQ,MAAMuD,EAAEvD,EAAE,QAAQ,OAAOe,EAAEf,EAAE,QAAQ,KAAKgB,EAAEhB,EAAE,eAAeiB,EAAEjB,EAAE,cAAckB,EAAElB,EAAE,aAAamB,EAAEnB,EAAE,YAAYoB,EAAEpB,EAAE,WAAW+D,EAAE/D,EAAE,QAAQ,OAAO,OAAO,EAAE,EAAEyD,EAAEzD,EAAE,UAAUgE,EAAEhE,EAAE,SAASiE,EAAGjE,EAAE,QAAQ,GAAGrB,IAAI,OAAO,MAAM,IAAI,MAAM,yDAAyDA,wBAAwB,EAAE,IAAIuF,EAAG9H,EAAE,WAAW4D,EAAE,SAAS,SAAS,EAAEmE,GAAG/H,EAAE,UAAU,IAAI8H,EAAG,MAAM,EAAE,GAAGE,GAAGrG,GAAG,KAAK,EAAE3B,EAAE,UAAU,IAAI2B,EAAE,MAAM,EAAE,GAAG,OAAOokH,GAAG9+G,EAAEI,EAAEO,EAAEC,EAAGpD,EAAEF,EAAEC,EAAEF,EAAE4C,EAAExC,EAAEyC,EAAExC,EAAEgD,EAAE/C,EAAEC,EAAEC,EAAEC,EAAEC,EAAEX,EAAE,EAAE2D,GAAGtF,GAAG,EAAEqF,EAAE,EAAED,CAAE,CAAC,IAAIo+G,IAAG,CAAC,WAAWzgG,GAAG,YAAY,OAAO,UAAUugG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI1mH,EAAE,CAACymH,GAAGzmH,EAAE,KAAK,MAAMgmB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS2gG,IAAI3mH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,QAAQC,EAAE,IAAIC,EAAE,UAAUS,EAAE,WAAWC,EAAE,gBAAgBC,EAAE,WAAWC,EAAE,eAAeC,CAAC,EAAE9C,EAAEgE,EAAEs2C,EAAE,kBAAkBj6C,EAAE,MAAM,EAAE,MAAM2B,EAAEU,EAAET,EAAEW,EAAE,EAAE,EAAE,EAAEw8G,GAAGv8G,GAAG,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,GAAGA,8EAA8E,EAAE,IAAIwE,EAAEjH,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAGwE,EAAEzE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGqE,EAAET,EAAE,YAAYU,EAAE,EAAE,GAAG,GAAG,KAAK,CAAC,IAAI2D,GAAGjI,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGiI,GAAG,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,+DAA+DA,GAAG,MAAM,SAAS,EAAE,GAAGA,GAAG,MAAM,KAAK5D,EAAE,MAAM,IAAI,MAAM,oCAAoC4D,GAAG,wDAAwD5D,IAAI,EAAEC,EAAE2D,GAAG,EAAE,CAAC,IAAI1D,EAAEX,EAAE,aAAaY,EAAEZ,EAAE,YAAYsD,EAAEtD,EAAE,QAAQ,IAAIc,EAAEd,EAAE,QAAQ,MAAMuD,EAAEvD,EAAE,QAAQ,OAAOe,EAAEf,EAAE,QAAQ,KAAKgB,EAAEhB,EAAE,eAAeiB,EAAEjB,EAAE,cAAckB,EAAElB,EAAE,aAAamB,EAAEnB,EAAE,YAAYoB,EAAEpB,EAAE,WAAW+D,EAAE/D,EAAE,QAAQ,OAAO,OAAO,EAAE,EAAEyD,EAAEzD,EAAE,UAAUgE,EAAEhE,EAAE,SAASiE,EAAGjE,EAAE,QAAQ,GAAGrB,IAAI,OAAO,MAAM,IAAI,MAAM,kEAAkEA,wBAAwB,EAAE,IAAIuF,EAAG9H,EAAE,WAAW4D,EAAE,SAAS,SAAS,EAAEmE,GAAG/H,EAAE,UAAU,IAAI8H,EAAG,MAAM,EAAE,GAAGE,GAAGrG,GAAG,KAAK,EAAE3B,EAAE,UAAU,IAAI2B,EAAE,MAAM,EAAE,GAAG,OAAOwkH,GAAGl/G,EAAEI,EAAEO,EAAEC,EAAGpD,EAAEF,EAAEC,EAAEF,EAAE4C,EAAExC,EAAEyC,EAAExC,EAAEgD,EAAE/C,EAAEC,EAAEC,EAAEC,EAAEC,EAAEX,EAAE,EAAE2D,GAAGtF,GAAG,EAAEqF,EAAE,EAAED,CAAE,CAAC,IAAIw+G,IAAG,CAAC,WAAW5gG,GAAG,YAAY,OAAO,UAAU0gG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI9mH,EAAE,CAAC6mH,GAAG7mH,EAAE,KAAK,MAAMmf,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,QAAQ,CAAC,CAAC,CAAC,SAAS4nG,IAAI/mH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,CAAC,EAAEF,EAAE,CAAC,OAAOM,EAAE,QAAQC,CAAC,EAAEL,EAAE,CAAC,EAAE,EAAE+B,EAAEC,CAAC,EAAE4zB,GAAG,mBAAmBx1B,EAAEC,CAAC,EAAE4B,EAAE,EAAE,WAAW,EAAE7B,EAAE,KAAK,EAAE,GAAG,IAAI,EAAE,OAAO6B,EAAE,IAAIS,EAAErC,EAAE,MAAMsC,EAAED,EAAEA,EAAE,OAAO,GAAGG,EAAE,EAAE,UAAU,IAAIzC,EAAE,MAAM,EAAE,GAAG,EAAE,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAG4D,EAAE,IAAI,WAAW,IAAI,WAAWjC,CAAC,EAAE,MAAM,EAAEqF,EAAE,EAAE,UAAU,IAAIpF,EAAE,MAAM,EAAE,GAAG,OAAO0kH,GAAG9jH,EAAEs8G,GAAG/+G,EAAE,OAAO,EAAE,EAAEuC,EAAEZ,EAAEkC,EAAEoD,CAAC,EAAEpF,CAAC,CAAC,IAAI6kH,IAAG,CAAC,WAAW7nG,GAAG,YAAY,OAAO,UAAU2nG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIlnH,EAAE,CAACinH,GAAGjnH,EAAE,KAAK,MAAM,SAAS,KAAK,CAAC,SAAS,SAAS,QAAQ,SAAS,SAAS,SAAS,QAAQ,QAAQ,CAAC,CAAC,CAAC,SAASmnH,IAAInnH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,QAAQ,CAAC,EAAEL,EAAE,CAAC,KAAK,EAAE,UAAU+B,CAAC,EAAE3B,EAAE4B,EAAE4kB,EAAE,eAAe,EAAEvmB,EAAE,KAAK,EAAE,GAAG4B,EAAE,EAAE,SAAS,EAAE,MAAM,EAAES,EAAErC,EAAE,MAAM2B,GAAG,QAAQuF,EAAE,EAAEA,EAAEtF,EAAE,OAAO,EAAEsF,EAAE,CAAC,IAAIxC,EAAE9C,EAAEsF,GAAGqf,EAAE,OAAO7hB,GAAGrC,EAAE,GAAGqC,GAAG,EAAE,IAAI,6BAA6BA,mBAAmBrC,EAAE,IAAI,CAAC,CAAC,IAAIC,EAAE23C,EAAE,aAAa,yBAAyBj6C,EAAE,EAAE2B,EAAED,CAAC,EAAEa,EAAE++G,GAAG,CAAC,OAAO,CAAC,EAAEthH,CAAC,EAAE,MAAM,CAAC,MAAM,CAACsC,EAAE,UAAUA,EAAE,UAAUA,EAAE,QAAQA,EAAE,SAAS,CAAC,EAAE,QAAQ,CAAC,CAAC,EAAEE,EAAE+jB,EAAE,cAAc,EAAE,KAAK,EAAE9jB,EAAE6+G,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,MAAM,CAAC,MAAM,CAACh/G,EAAE,UAAUE,EAAEF,EAAE,SAAS,CAAC,EAAE,QAAQ,CAAC,CAAC,EAAEqB,EAAE,CAACrB,EAAE,UAAUA,EAAE,UAAUE,EAAEF,EAAE,UAAUA,EAAE,SAAS,EAAE,EAAE,EAAE,WAAWqB,EAAE3D,EAAE,KAAK,EAAE,GAAGumB,EAAE,cAAcvmB,EAAE,KAAK,IAAI,EAAE,OAAO,EAAE,IAAIgH,EAAEzE,EAAE,MAAM,OAAO,EAAE6B,EAAE,EAAE,UAAU,IAAI7B,EAAE,MAAM,EAAE,GAAG+B,EAAE,EAAE,UAAU,IAAI7B,EAAE,MAAM,EAAE,GAAG8B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG0C,EAAE,IAAI,WAAW,IAAI,WAAWsf,EAAE,eAAehkB,EAAE,KAAK,CAAC,EAAE,MAAM,EAAEkC,EAAE,IAAI,WAAW,IAAI,WAAW8hB,EAAE,eAAe5iB,CAAC,CAAC,EAAE,MAAM,EAAE,OAAO+iH,GAAGtiH,EAAE06G,GAAG9+G,EAAE,OAAOiH,EAAED,EAAE1C,EAAEhC,EAAE,UAAUmC,EAAEF,CAAC,EAAE,EAAE,YAAYhC,EAAE,MAAM,EAAE,EAAE,YAAYE,EAAE,MAAM,EAAE,EAAE,MAAMH,EAAE,YAAY,CAAC,CAAC,IAAIukH,IAAG,CAAC,WAAWloG,GAAG,YAAY,OAAO,UAAUgoG,IAAI,WAAWC,GAAG,EAAME,IAAI,GAAGC,IAAGzH,GAAGzgG,GAAGioG,IAAI,MAAM,EAAME,IAAI,GAAGC,IAAG3H,GAAGxgG,GAAGkoG,IAAI,MAAM,EAAME,GAAG,SAASC,IAAI1nH,EAAE,CAACynH,GAAGznH,EAAE,KAAK,MAAM4f,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS+nG,IAAI3nH,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,MAAM,CAAC,MAAME,CAAC,EAAE,QAAQI,CAAC,EAAEN,EAAEO,EAAED,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,EAAEA,EAAE,WAAW,EAAE,MAAM,SAAS,EAAE,GAAGwmB,EAAE,cAAc,EAAE,KAAK,IAAI,EAAE,CAAC,IAAI,EAAExmB,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGmnH,GAAGlnH,EAAE8+G,GAAG,EAAE,OAAOn/G,EAAE,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,IAAI0nH,IAAG,CAAC,WAAWhoG,GAAG,YAAY,OAAO,UAAU8nG,IAAI,WAAWC,GAAG,EAAME,IAAI,GAAGC,IAAGjI,GAAGhgG,GAAGgoG,IAAI,MAAM,EAAME,IAAI,GAAGC,IAAGnI,GAAG//F,GAAGioG,IAAI,MAAM,EAAME,IAAGtI,GAAG3/F,EAAE,EAAMkoG,IAAI,GAAGC,IAAGtI,GAAG3/F,GAAGgoG,IAAI,MAAM,EAAME,IAAGzI,GAAGx/F,EAAE,EAAMkoG,IAAI,GAAGC,IAAGzI,GAAGz/F,GAAGioG,IAAI,MAAM,EAAME,IAAI,GAAGC,IAAG3I,GAAGx/F,GAAGkoG,IAAI,MAAM,EAAME,GAAG,SAASC,IAAI1oH,EAAE,CAACyoH,GAAGzoH,EAAE,KAAK,MAAM0gB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASioG,IAAI3oH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,iBAAiBO,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEJ,EAAEgC,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,EAAE,EAAE,CAAC,WAAWU,EAAE,KAAK,EAAE,aAAaE,EAAE,mBAAmBC,CAAC,EAAE69G,GAAG,EAAErgH,EAAE,CAAC,EAAE,GAAGwC,EAAE,CAAC,IAAI4B,EAAE,EAAE,UAAU,IAAI/B,EAAE,MAAM,EAAE,GAAG,EAAEA,EAAEV,EAAEyC,CAAC,CAAC,IAAI3B,EAAE,EAAE,MAAM,OAAOw3C,EAAE,2BAA2B,MAAM,EAAEx3C,CAAC,EAAE,GAAG,CAACkB,EAAEC,CAAC,EAAEq2C,EAAE,0BAA0B,EAAE,MAAM,CAAC,EAAEjzC,EAAEuf,EAAE,cAAc3iB,CAAC,EAAE,EAAE,EAAE,WAAWD,EAAE,EAAE,KAAK,EAAE,GAAG4iB,EAAE,cAAc,EAAE,KAAK,IAAI,EAAE,CAAC,IAAIniB,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG8jH,GAAGvmH,EAAEm9G,GAAG,EAAE,OAAO93G,EAAE5C,CAAC,CAAC,CAAC,GAAG5B,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAE,EAAE,CAAC,IAAI+B,EAAE61C,EAAE,qBAAqB,EAAE,MAAM13C,CAAC,EAAE,EAAE,MAAM6B,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIikH,IAAG,CAAC,WAAWloG,GAAG,YAAY,OAAO,UAAUgoG,IAAI,WAAWC,GAAG,EAAME,IAAI,GAAGC,IAAGjJ,GAAGl/F,GAAGkoG,GAAG,EAAME,GAAG,SAASC,IAAIhpH,EAAE,CAAC+oH,GAAG/oH,EAAE,KAAK,MAAM4gB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASqoG,IAAIjpH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQI,CAAC,EAAEN,EAAEO,EAAE,EAAE,EAAE,EAAED,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAGumB,EAAE,OAAOvmB,EAAE,QAAQ,UAAU,IAAI,0DAA0DA,EAAE,QAAQ,EAAE,GAAG,CAAC,WAAW,EAAE,QAAQ0B,EAAE,IAAIC,EAAE,gBAAgBC,CAAC,EAAEjC,EAAE0C,EAAE43C,EAAE,kBAAkBj6C,EAAE,MAAM,EAAE0B,EAAE,EAAEC,EAAEC,CAAC,EAAEU,EAAED,EAAE,aAAaE,EAAEF,EAAE,YAAYG,EAAEH,EAAE,QAAQ,IAAII,EAAEJ,EAAE,QAAQ,MAAMsB,EAAEtB,EAAE,QAAQ,OAAO,EAAEA,EAAE,QAAQ,KAAK2E,EAAE3E,EAAE,eAAemC,EAAEnC,EAAE,cAAc+B,EAAE/B,EAAE,aAAagC,EAAEhC,EAAE,YAAYiC,EAAEjC,EAAE,WAAWkC,EAAElC,EAAE,YAAY,GAAGA,EAAE,aAAa,eAAe,MAAM,IAAI,MAAM,6CAA6CA,EAAE,yCAAyC,EAAE,IAAI4E,EAAElH,EAAE,WAAWsC,EAAE,SAAS,SAAS,EAAEoC,EAAE1E,EAAE,UAAU,IAAIkH,EAAE,MAAM,EAAE,GAAG,OAAOuhH,GAAG,EAAExoH,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGsC,EAAEC,EAAEC,EAAEC,EAAEkB,EAAE,EAAEqD,EAAExC,EAAEJ,EAAEC,EAAEC,EAAEC,EAAEE,CAAC,EAAEwC,CAAC,CAAC,IAAI0hH,IAAG,CAAC,WAAWtoG,GAAG,YAAY,OAAO,UAAUooG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIppH,EAAE,CAACmpH,GAAGnpH,EAAE,KAAK,MAAMihB,GAAG,KAAK,CAAC,wBAAwB,CAAC,CAAC,CAAC,SAASooG,IAAIrpH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,KAAKO,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEJ,EAAE+B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAED,EAAEE,EAAE,EAAE,CAAC,WAAWS,EAAE,KAAKC,EAAE,aAAaC,EAAE,mBAAmBC,CAAC,EAAE69G,GAAG,EAAErgH,EAAE,CAAC,EAAEyC,EAAEH,EAAE,GAAGE,EAAE,CAAC,IAAI6B,EAAE,EAAE,UAAU,IAAIhC,EAAE,MAAM,EAAE,GAAGgC,IAAI3C,IAAIE,EAAES,EAAEV,EAAE0C,EAAE5B,EAAEw3C,EAAE,iBAAiBx3C,EAAE,OAAOb,EAAE,MAAM,MAAM,EAAE,CAACq4C,EAAE,2BAA2B,OAAOx3C,EAAEb,EAAE,MAAM,MAAM,EAAE,GAAG,CAAC+B,EAAE,CAAC,EAAEs2C,EAAE,0BAA0Br4C,EAAE,MAAMa,CAAC,EAAEuE,EAAEuf,EAAE,cAAc,CAAC,EAAE/hB,EAAE5C,EAAEA,EAAE,QAAQ,YAAY4C,EAAE29G,GAAG,CAAC,QAAQ,EAAE,OAAO,CAAC,EAAEvgH,CAAC,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAED,EAAE,EAAE,UAAU,IAAI6C,EAAE,MAAM,EAAE,IAAI,IAAIJ,EAAE,EAAE,WAAWT,EAAE,SAAS,EAAE,GAAG4iB,EAAE,cAAc3kB,EAAE,KAAK,IAAI,EAAE,CAAC,IAAIyC,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGwkH,GAAGjnH,EAAEqF,EAAE3C,CAAC,CAAC,CAAC,GAAG7B,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAE,EAAE,CAAC,IAAIgC,EAAE41C,EAAE,qBAAqB71C,EAAE,MAAM7B,CAAC,EAAE6B,EAAE,MAAMC,CAAC,CAAC,OAAOzC,EAAE,QAAQ,WAAW,EAAE,YAAY4C,EAAE,MAAM,EAAEJ,CAAC,CAAC,IAAI2kH,IAAG,CAAC,WAAWroG,GAAG,YAAY,OAAO,UAAUmoG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIxpH,EAAE,CAACupH,GAAGvpH,EAAE,KAAK,MAAMkhB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASuoG,IAAIzpH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,KAAKO,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEJ,EAAE+B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAED,EAAEE,EAAE,EAAE,CAAC,WAAWS,EAAE,KAAKC,EAAE,aAAaC,EAAE,mBAAmBC,CAAC,EAAE69G,GAAG,EAAErgH,EAAE,CAAC,EAAE,GAAGwC,EAAE,CAAC,IAAI4B,EAAE,EAAE,UAAU,IAAI/B,EAAE,MAAM,EAAE,GAAG+B,IAAI1C,IAAIE,EAAES,EAAEV,EAAEyC,EAAE,CAAC,IAAI3B,EAAEb,EAAE,MAAM,OAAOq4C,EAAE,2BAA2B,MAAM33C,EAAEG,CAAC,EAAE,GAAG,CAACkB,EAAE,CAAC,EAAEs2C,EAAE,0BAA0Br4C,EAAE,MAAMU,CAAC,EAAE0E,EAAEuf,EAAE,cAAc,CAAC,EAAE/hB,EAAE,EAAE,WAAWb,EAAE/B,EAAE,KAAK,EAAE,GAAG2kB,EAAE,cAAc3kB,EAAE,KAAK,IAAI,EAAE,CAAC,IAAIwC,EAAE,EAAE,UAAU,IAAII,EAAE,MAAM,EAAE,GAAGwkH,GAAGrnH,EAAEm9G,GAAG,EAAE,OAAO93G,EAAE5C,CAAC,CAAC,CAAC,GAAG5B,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAE,EAAE,CAAC,IAAI+B,EAAE61C,EAAE,qBAAqBz1C,EAAE,MAAMjC,CAAC,EAAEiC,EAAE,MAAMJ,CAAC,CAAC,OAAOI,CAAC,CAAC,IAAI2kH,IAAG,CAAC,WAAWxoG,GAAG,YAAY,OAAO,UAAUsoG,IAAI,WAAWC,GAAG,EAAME,IAAI,GAAGC,IAAG/J,GAAG1+F,GAAGwoG,GAAG,EAAME,IAAI,SAAS7pH,EAAE,CAACA,EAAEA,EAAE,QAAQ,GAAG,UAAUA,EAAEA,EAAE,UAAU,GAAG,WAAW,GAAG6pH,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,SAASC,IAAI/pH,EAAE,CAAC8pH,GAAG9pH,EAAE,KAAK,MAAMohB,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,SAAS,QAAQ,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS4oG,IAAIhqH,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQE,EAAE,MAAM,CAAC,SAASI,EAAE,KAAKC,CAAC,CAAC,EAAEP,EAAE,EAAEM,EAAE,IAAI,CAAC0C,EAAEkB,IAAIlB,EAAE,GAAG,EAAE,MAAMkB,GAAGlB,EAAE,EAAE,EAAE,EAAE9C,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG+B,EAAE/B,EAAE,WAAW,EAAE,EAAE,KAAK,EAAEgC,EAAEhC,EAAE,UAAU,IAAI+B,EAAE,MAAM,EAAE,GAAGE,EAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,EAAES,EAAEtC,EAAE,IAAI0C,GAAGA,EAAE,EAAE,EAAEH,EAAEvC,EAAE,IAAI0C,GAAGA,EAAE,EAAE,EAAEF,EAAE,IAAI,WAAW,IAAI,WAAWF,CAAC,EAAE,MAAM,EAAEG,EAAE,IAAI,WAAW,IAAI,WAAWF,CAAC,EAAE,MAAM,EAAE,OAAOinH,GAAG,EAAE3nH,EAAE,EAAE,MAAM,OAAOk9G,GAAG,EAAE,OAAOv8G,EAAEC,EAAE8mH,GAAGtpH,GAAG2B,CAAC,EAAED,CAAC,CAAC,IAAIgoH,IAAG,CAAC,WAAW7oG,GAAG,YAAY,OAAO,WAAW4oG,IAAI,UAAUD,GAAG,EAAMG,IAAI,GAAGC,IAAGtK,GAAGt+F,GAAG2oG,GAAG,EAAME,IAAGzK,GAAGn+F,EAAE,EAAE,SAAS6oG,GAAGrqH,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,WAAWF,EAAE,KAAK,OAAO,OAAO,EAAE,CAAC,EAAEM,EAAEJ,EAAE,GAAGK,EAAEL,EAAE,GAAG,EAAEA,EAAE,GAAG,EAAEA,EAAE,GAAG,OAAOF,EAAE,KAAK,MAAM,CAAC,EAAE,CAAC,iBAAiBM,EAAE,aAAaC,EAAE,gBAAgB,EAAE,cAAc,CAAC,CAAC,CAAC,IAAI+pH,GAAG,SAASC,IAAIvqH,EAAE,CAACsqH,GAAGtqH,EAAE,KAAK,MAAM0hB,GAAG,SAAS,CAAC,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS8oG,IAAIxqH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,aAAaO,EAAE,cAAc,EAAE,eAAe,CAAC,EAAED,EAAE,CAAC,MAAM2B,EAAE,OAAOC,CAAC,EAAEhC,EAAEiC,EAAE,EAAE,UAAU,IAAIF,EAAE,MAAM,EAAE,GAAGW,EAAE,EAAE,UAAU,IAAIV,EAAE,MAAM,EAAE,GAAGW,EAAEynH,GAAGnoH,EAAES,EAAE,EAAErC,EAAE,CAAC,EAAE,CAAC,iBAAiBuC,EAAE,aAAaC,EAAE,gBAAgBC,EAAE,cAAckB,CAAC,EAAEmmH,GAAG,EAAExnH,CAAC,EAAE,OAAO,EAAE,KAAK,MAAMG,CAAC,EAAE,EAAE,KAAK,MAAMkB,CAAC,EAAE,EAAE,WAAW,CAACnB,CAAC,EAAE,QAAQD,CAAC,CAAC,CAAC,IAAI2nH,IAAG,CAAC,WAAW/oG,GAAG,YAAY,OAAO,UAAU6oG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI3qH,EAAE,CAAC0qH,GAAG1qH,EAAE,KAAK,MAAM2hB,GAAG,SAAS,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,MAAM,CAAC,CAAC,CAAC,SAASipG,IAAI5qH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,aAAaO,EAAE,cAAc,EAAE,eAAe,EAAE,mBAAmB0B,CAAC,EAAE3B,EAAE,CAAC,MAAM4B,EAAE,OAAOC,CAAC,EAAEjC,EAAE0C,EAAE,EAAE,UAAU,IAAIV,EAAE,MAAM,EAAE,GAAGW,EAAE,EAAE,UAAU,IAAIV,EAAE,MAAM,EAAE,GAAGW,EAAE4nH,GAAG9nH,EAAEC,EAAE,EAAEtC,EAAE,EAAE0B,CAAC,EAAE,CAAC,iBAAiBc,EAAE,aAAaC,EAAE,gBAAgBkB,EAAE,cAAc,CAAC,EAAEmmH,GAAG,EAAEvnH,CAAC,EAAE,EAAE,KAAK,MAAMoB,CAAC,EAAE,IAAIqD,EAAE,EAAE,WAAW,CAACvE,CAAC,EAAE,QAAQD,CAAC,EAAEgC,EAAE,EAAE,WAAW,CAAC,EAAE,QAAQ,CAAC,EAAE,MAAM,CAACwC,EAAExC,CAAC,CAAC,CAAC,IAAI8lH,IAAG,CAAC,WAAWlpG,GAAG,YAAY,OAAO,UAAUgpG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI/qH,EAAE,CAAC8qH,GAAG9qH,EAAE,KAAK,MAAM4hB,GAAG,SAAS,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASopG,IAAIhrH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,aAAaO,EAAE,cAAc,EAAE,eAAe,EAAE,aAAa0B,CAAC,EAAE3B,EAAE,CAAC,MAAM4B,EAAE,OAAOC,CAAC,EAAEjC,EAAE0C,EAAE,EAAE,UAAU,IAAIV,EAAE,MAAM,EAAE,GAAGW,EAAE,EAAE,UAAU,IAAIV,EAAE,MAAM,EAAE,GAAGW,EAAEgoH,GAAGloH,EAAEC,EAAE,EAAEtC,EAAE,EAAE0B,CAAC,EAAE,CAAC,iBAAiBc,EAAE,aAAaC,EAAE,gBAAgBkB,EAAE,cAAc,CAAC,EAAEmmH,GAAG,EAAEvnH,CAAC,EAAE,EAAE,KAAK,MAAM,CAAC,EAAE,IAAIyE,EAAE,EAAE,WAAW,CAACvE,CAAC,EAAE,QAAQD,CAAC,EAAEgC,EAAE,EAAE,WAAW,CAAC/B,CAAC,EAAE,UAAUkB,CAAC,EAAE,MAAM,CAACqD,EAAExC,CAAC,CAAC,CAAC,IAAIkmH,IAAG,CAAC,WAAWrpG,GAAG,YAAY,OAAO,UAAUmpG,IAAI,WAAWC,GAAG,EAAME,IAAI,GAAGC,IAAGtL,GAAGp+F,GAAGypG,IAAI,MAAM,EAAME,GAAG,SAASC,IAAIrrH,EAAE,CAACorH,GAAGprH,EAAE,KAAK,MAAM8hB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASwpG,IAAItrH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,QAAQO,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,MAAM,EAAE,QAAQ0B,EAAE,SAASC,CAAC,EAAE5B,EAAE6B,EAAEjC,EAAE,WAAW,CAAC,GAAGK,EAAE,MAAM,CAAC,EAAE,CAAC,EAAEqC,EAAE1C,EAAE,UAAU,IAAIiC,EAAE,MAAM,EAAE,GAAGW,EAAE5C,EAAE,UAAU,IAAIK,EAAE,MAAM,EAAE,GAAG,OAAO6qH,GAAGtoH,EAAE,EAAEb,EAAEC,EAAEU,CAAC,EAAET,CAAC,CAAC,IAAIopH,IAAG,CAAC,WAAWzpG,GAAG,YAAY,OAAO,UAAUupG,IAAI,WAAWC,GAAG,EAAE,SAASE,IAAIxrH,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQE,CAAC,EAAEF,EAAEM,EAAEJ,EAAE,WAAW,EAAE,MAAM,EAAE,KAAK,EAAE,OAAOA,EAAE,mBAAmBI,CAAC,EAAE,KAAK,CAAC,EAAEA,CAAC,CAAC,IAAImrH,IAAG,CAAC,WAAW5pG,GAAG,YAAY,OAAO,WAAW2pG,GAAG,EAAE,SAASE,IAAI1rH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,KAAKO,CAAC,EAAED,EAAE,GAAG,EAAE,SAAS,EAAE,OAAOglH,GAAG,CAAC,OAAO,CAAC,MAAM,EAAE,EAAE,EAAE,QAAQplH,EAAE,MAAM,CAAC,IAAIK,CAAC,CAAC,CAAC,EAAE,IAAI,EAAE,EAAE,GAAG,MAAM,EAAE,EAAE,GAAG,MAAM,EAAE,QAAQqC,GAAG,CAACkkB,EAAE,kBAAkB,EAAElkB,EAAE,MAAM,uDAAuD,EAAEkkB,EAAE,OAAO,IAAIlkB,EAAE,MAAM,IAAI,uDAAuD,CAAC,CAAC,EAAE,IAAIX,EAAE,CAAC,EAAEC,EAAE,EAAE,IAAIU,GAAG,CAAC,IAAIC,EAAEyiH,GAAG,CAAC,OAAO,CAAC,MAAM1iH,CAAC,EAAE,QAAQ1C,EAAE,MAAM,CAAC,IAAIK,CAAC,CAAC,CAAC,EAAE,OAAO0B,EAAE,KAAKY,CAAC,EAAEA,CAAC,CAAC,EAAEV,EAAE8gH,GAAG,CAAC,OAAO/gH,EAAE,QAAQhC,EAAE,MAAM,CAAC,KAAKK,CAAC,CAAC,CAAC,EAAE,OAAO0B,EAAE,QAAQW,GAAG1C,EAAE,YAAY0C,EAAE,MAAM,CAAC,EAAET,CAAC,CAAC,IAAIwpH,IAAG,CAAC,WAAW5pG,GAAG,YAAY,OAAO,WAAW2pG,GAAG,EAAME,GAAG,SAASC,IAAI7rH,EAAE,CAAC4rH,GAAG5rH,EAAE,KAAK,MAAMgiB,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,SAAS,QAAQ,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS8pG,IAAI9rH,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQE,EAAE,MAAM,CAAC,SAASI,EAAE,cAAcC,CAAC,CAAC,EAAEP,EAAE,EAAEM,EAAE,IAAI,CAAC4D,EAAEC,IAAID,EAAE,GAAG,EAAE,MAAMC,GAAGD,EAAE,EAAE,EAAE,GAAG4iB,EAAE,cAAc,EAAE,KAAK,IAAI,EAAE,OAAO0+F,GAAG,CAAC,QAAQtlH,EAAE,MAAM,CAAC,MAAM,EAAE,MAAMK,EAAE,MAAM,EAAE,KAAK,CAAC,CAAC,EAAE,IAAI,EAAEL,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG+B,EAAE/B,EAAE,WAAW,EAAE,EAAE,KAAK,EAAE,EAAEA,EAAE,UAAU,IAAI+B,EAAE,MAAM,EAAE,GAAGW,EAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,EAAE,EAAEtC,EAAE,IAAI4D,GAAGA,EAAE,EAAE,EAAEpB,EAAExC,EAAE,IAAI4D,GAAGA,EAAE,EAAE,EAAEnB,EAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,EAAEC,EAAE,IAAI,WAAW,IAAI,WAAWF,CAAC,EAAE,MAAM,EAAE,OAAO8oH,GAAG,EAAEhpH,EAAE,EAAE,MAAM,OAAOy8G,GAAG,EAAE,OAAOt8G,EAAEC,EAAEzC,EAAE,CAAC,EAAE0B,CAAC,CAAC,IAAI8pH,GAAG,CAAC,WAAW/pG,GAAG,YAAY,OAAO,WAAW8pG,IAAI,UAAUD,GAAG,EAAMG,IAAI,GAAGC,IAAGpM,GAAG39F,GAAG8pG,GAAG,EAAME,GAAG,SAASC,IAAInsH,EAAE,CAACksH,GAAGlsH,EAAE,KAAK,MAAMmiB,GAAG,KAAK,CAAC,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASiqG,IAAIpsH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEM,EAAE,MAAMC,CAAC,EAAE,EAAE,EAAEL,EAAE,UAAU,IAAII,EAAE,MAAM,EAAE,GAAG,EAAEJ,EAAE,UAAU,IAAIK,EAAE,MAAM,EAAE,GAAG0B,EAAE,EAAEC,EAAE5B,EAAE6B,EAAED,EAAEA,EAAE,QAAQ,YAAYC,EAAEugH,GAAG,CAAC,QAAQxiH,EAAE,OAAO,CAAC,EAAEI,CAAC,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAE2B,EAAE/B,EAAE,UAAU,IAAIiC,EAAE,MAAM,EAAE,IAAI,IAAIS,EAAE1C,EAAE,WAAWI,EAAE,MAAM,SAAS,EAAEuC,EAAE3C,EAAE,UAAU,IAAI0C,EAAE,MAAM,EAAE,GAAG,OAAOspH,GAAGjqH,EAAE,EAAEY,CAAC,EAAEX,EAAE,QAAQ,WAAWhC,EAAE,YAAYiC,EAAE,MAAM,EAAES,CAAC,CAAC,IAAIypH,IAAG,CAAC,WAAWlqG,GAAG,YAAY,OAAO,UAAUgqG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIvsH,EAAE,CAACssH,GAAGtsH,EAAE,KAAK,MAAMoiB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASoqG,IAAIxsH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,KAAKO,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEJ,EAAE+B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAED,EAAEE,EAAE,EAAE,CAAC,WAAWS,EAAE,KAAKC,EAAE,aAAaC,EAAE,mBAAmBC,CAAC,EAAE69G,GAAG,EAAErgH,EAAE,CAAC,EAAEyC,EAAEH,EAAE,GAAGE,EAAE,CAAC,IAAI4B,EAAE,EAAE,UAAU,IAAI/B,EAAE,MAAM,EAAE,GAAG+B,IAAI1C,IAAIE,EAAES,EAAEV,EAAEyC,EAAE3B,EAAEw3C,EAAE,iBAAiBx3C,EAAE,OAAOb,EAAE,MAAM,MAAM,EAAE,CAACq4C,EAAE,2BAA2B,OAAOx3C,EAAEb,EAAE,MAAM,MAAM,EAAE,GAAG,CAAC+B,EAAE,CAAC,EAAEs2C,EAAE,0BAA0Br4C,EAAE,MAAMa,CAAC,EAAEuE,EAAEuf,EAAE,cAAc,CAAC,EAAE/hB,EAAE,EAAE,WAAWb,EAAE/B,EAAE,KAAK,EAAE,GAAG2kB,EAAE,cAAc3kB,EAAE,KAAK,IAAI,EAAE,CAAC,IAAIwC,EAAE,EAAE,UAAU,IAAII,EAAE,MAAM,EAAE,GAAGunH,GAAGpqH,EAAEqF,EAAE83G,GAAGt6G,EAAE,OAAOJ,CAAC,CAAC,CAAC,GAAG5B,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAE,EAAE,CAAC,IAAI+B,EAAE61C,EAAE,qBAAqBz1C,EAAE,MAAMjC,CAAC,EAAEiC,EAAE,MAAMJ,CAAC,CAAC,OAAOI,CAAC,CAAC,IAAI0nH,IAAG,CAAC,WAAWrqG,GAAG,YAAY,OAAO,UAAUmqG,IAAI,WAAWC,GAAG,EAAME,IAAI1sH,GAAG,CAAC,GAAG,CAAC,QAAQ,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,MAAMM,EAAE,KAAKC,EAAE,KAAK,EAAE,MAAM,CAAC,EAAEL,EAAE+B,EAAEwxE,GAAGnzE,EAAEC,EAAE,EAAE,CAAC,EAAE2B,EAAE,EAAE,WAAW,CAACD,EAAE,MAAM,EAAE,CAAC,EAAE,OAAO,EAAE,mBAAmBC,CAAC,EAAE,IAAID,CAAC,EAAEC,CAAC,EAAEyqH,IAAG,CAAC,WAAWnqG,GAAG,YAAY,OAAO,WAAWkqG,GAAG,EAAME,IAAI,GAAGC,IAAGhN,GAAG1hG,GAAGyuG,GAAG,EAAME,IAAGnN,GAAGh9F,EAAE,EAAMoqG,IAAGpN,GAAG18F,EAAE,EAAM+pG,GAAG,SAASC,IAAIjtH,EAAE,CAACgtH,GAAGhtH,EAAE,KAAK,MAAM+iB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASmqG,IAAIltH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,CAAC,EAAEL,EAAE,CAAC,aAAa,EAAE,iBAAiB,EAAE,KAAK+B,CAAC,EAAE3B,EAAE,CAAC4B,EAAEC,CAAC,EAAEF,EAAE,CAACW,EAAEC,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAMyC,EAAE,CAACJ,EAAEV,EAAEC,EAAEY,CAAC,EAAEmB,EAAE,EAAE,UAAU,IAAI3D,EAAE,MAAM,EAAE,EAAE2D,EAAE,QAAQ,YAAY,EAAEw+G,GAAG,CAAC,QAAQ,EAAE,OAAO,CAAC,EAAEniH,CAAC,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAE2D,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,GAAG,IAAIqD,EAAErD,EAAE,GAAGa,EAAE,EAAE,WAAW/B,EAAE,SAAS,EAAE,GAAG8jB,EAAE,cAAcvmB,EAAE,KAAK,IAAI,EAAE,OAAOwE,EAAE,IAAIJ,EAAE,EAAE,UAAU,IAAII,EAAE,MAAM,EAAE,GAAG,OAAOioH,GAAGzlH,EAAE3E,EAAEC,EAAEC,EAAEC,EAAEb,EAAEC,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAEwC,CAAC,EAAE,GAAG,MAAM,EAAE,YAAY,EAAE,MAAM,EAAEI,CAAC,CAAC,IAAIooH,IAAG,CAAC,WAAWpqG,GAAG,YAAY,OAAO,UAAUkqG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIrtH,EAAE,CAACotH,GAAGptH,EAAE,KAAK,MAAM6iB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASyqG,IAAIttH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,OAAOO,CAAC,EAAEL,EAAE,CAAC,aAAa,EAAE,iBAAiB,EAAE,KAAK+B,CAAC,EAAE3B,EAAE,CAAC4B,EAAEC,CAAC,EAAEF,EAAE,CAACW,EAAEC,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAMyC,EAAE,CAACJ,EAAEV,EAAEC,EAAEY,CAAC,EAAEmB,EAAE,EAAE,WAAWlB,EAAE,SAAS,EAAE,GAAG8jB,EAAE,cAAcvmB,EAAE,KAAK,IAAI,EAAE,OAAO2D,EAAE,IAAI,EAAE,EAAE,UAAU,IAAI3D,EAAE,MAAM,EAAEgH,EAAE,EAAE,QAAQ,YAAYA,EAAEm7G,GAAG,CAAC,QAAQ,EAAE,OAAO,CAAC,EAAEniH,CAAC,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAE,EAAE,EAAE,UAAU,IAAIgH,EAAE,MAAM,GAAG,IAAIxC,EAAE,EAAE,GAAGJ,EAAE,EAAE,UAAU,IAAIT,EAAE,MAAM,EAAE,GAAG,OAAOkpH,GAAGroH,EAAEnC,EAAEC,EAAEC,EAAEC,EAAEb,EAAEC,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAEwC,CAAC,EAAE4C,GAAG,MAAM,EAAE,YAAYA,EAAE,MAAM,EAAErD,CAAC,CAAC,IAAIqpH,IAAG,CAAC,WAAW1qG,GAAG,YAAY,OAAO,UAAUwqG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIztH,EAAE,CAACwtH,GAAGxtH,EAAE,KAAK,MAAMkjB,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASwqG,IAAI1tH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAEwmB,EAAE,eAAe,EAAEvmB,EAAE,KAAK,EAAE,GAAGA,EAAE,MAAM,SAAS,EAAE,OAAO6/G,GAAG,CAAC,OAAO,CAAC,EAAE7/G,CAAC,EAAE,QAAQL,CAAC,CAAC,EAAE,IAAI+B,EAAE/B,EAAE,WAAWK,EAAE,MAAMA,EAAE,KAAK,EAAE2B,EAAEhC,EAAE,UAAU,IAAIK,EAAE,MAAM,EAAE,GAAG4B,EAAEjC,EAAE,UAAU,IAAI+B,EAAE,MAAM,EAAE,GAAGW,EAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,EAAEC,EAAE,IAAI,WAAW,IAAI,WAAWtC,EAAE,KAAK,EAAE,MAAM,EAAEitH,GAAGtrH,EAAEU,EAAE,EAAE,OAAOC,EAAEtC,EAAE,MAAM,OAAO4B,CAAC,EAAE,IAAIW,EAAE++G,GAAG,CAAC,OAAO,CAAC,EAAE5/G,CAAC,EAAE,MAAM,CAAC,MAAM1B,EAAE,KAAK,EAAE,QAAQL,CAAC,CAAC,EAAE,OAAOA,EAAE,YAAY+B,EAAE,MAAM,EAAEa,CAAC,CAAC,IAAI6qH,IAAG,CAAC,WAAWzqG,GAAG,YAAY,OAAO,WAAWwqG,IAAI,UAAUD,GAAG,EAAMG,GAAG,SAASC,IAAI7tH,EAAE,CAAC4tH,GAAG5tH,EAAE,KAAK,MAAM6lB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASioG,IAAI9tH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,UAAU,EAAE,OAAO0B,CAAC,EAAE3B,EAAE4B,EAAEhC,EAAE,WAAWK,EAAE,MAAMA,EAAE,KAAK,EAAE4B,EAAEjC,EAAE,UAAU,IAAIK,EAAE,MAAM,EAAE,GAAGqC,EAAE1C,EAAE,UAAU,IAAIgC,EAAE,MAAM,EAAE,GAAG,CAACW,EAAEC,EAAEC,EAAEC,CAAC,EAAEzC,EAAE,MAAM,CAAC2D,EAAE,CAAC,EAAEs2C,EAAE,eAAev4C,EAAEa,EAAEC,CAAC,EAAEwE,EAAE,IAAI,EAAExC,EAAE,IAAIJ,EAAE,OAAO,GAAG,SAAS,CAAC,EAAE,EAAE,EAAE4C,EAAE,EAAExC,CAAC,EAAE,CAAC,GAAG,EAAEA,CAAC,EAAEH,EAAE,IAAI,WAAW,IAAI,WAAWD,CAAC,EAAE,MAAM,EAAE,OAAOipH,GAAGzrH,EAAEU,EAAEC,EAAEC,EAAEC,EAAE,EAAEkB,EAAE,EAAEU,EAAED,EAAE,OAAO/B,CAAC,EAAEV,CAAC,CAAC,IAAI6rH,IAAG,CAAC,WAAWloG,GAAG,YAAY,OAAO,WAAWioG,IAAI,UAAUD,GAAG,EAAMG,IAAGrO,GAAGx8F,EAAE,EAAM8qG,IAAGtO,GAAGv8F,EAAE,EAAM8qG,GAAG,SAASC,IAAInuH,EAAE,CAACkuH,GAAGluH,EAAE,KAAK,MAAMqjB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS+qG,IAAIpuH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,QAAQO,EAAE,QAAQ,CAAC,EAAEL,EAAE,CAAC,MAAM,CAAC,EAAEI,EAAE2B,EAAE,EAAE,WAAW,EAAE,EAAE,KAAK,EAAE,GAAG6kB,EAAE,cAAc,CAAC,IAAI,EAAE,OAAO7kB,EAAE,GAAG,CAAC,UAAUC,EAAE,WAAWC,EAAE,UAAUS,EAAE,QAAQC,EAAE,WAAWC,CAAC,EAAEkzB,GAAG,gBAAgB,EAAEz1B,EAAE,CAAC,EAAEyC,EAAE,EAAE,UAAU,IAAIzC,EAAE,MAAM,EAAE,GAAG4D,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGoD,EAAE,IAAI,WAAW,IAAI,WAAW1E,CAAC,EAAE,MAAM,EAAEkC,EAAE,EAAE,UAAU,IAAI9C,EAAE,MAAM,EAAE,GAAG,OAAOisH,GAAGlrH,EAAEmB,EAAEk7G,GAAG,EAAE,OAAOn9G,EAAEC,EAAES,EAAE2E,EAAEzE,EAAEiC,CAAC,EAAE9C,CAAC,CAAC,IAAIosH,IAAG,CAAC,WAAWhrG,GAAG,YAAY,OAAO,UAAU8qG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIvuH,EAAE,CAACsuH,GAAGtuH,EAAE,KAAK,MAAM,WAAW,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASwuH,IAAIxuH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,UAAUM,EAAE,EAAEC,EAAE,EAAE,CAAC,EAAE,EAAE,EAAEL,EAAE,UAAU,IAAII,EAAE,MAAM,EAAE,GAAG2B,EAAE/B,EAAE,UAAU,IAAIK,EAAE,MAAM,EAAE,GAAG2B,EAAEhC,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGiC,EAAEjC,EAAE,WAAWK,EAAE,MAAMA,EAAE,KAAK,EAAEqC,EAAE1C,EAAE,UAAU,IAAIiC,EAAE,MAAM,EAAE,GAAGU,EAAEvC,EAAE,MAAM,OAAOwC,EAAEvC,EAAE,MAAM,OAAOwC,EAAEF,IAAI,GAAGA,EAAE,GAAGC,IAAI,EAAE,EAAEgkB,EAAE,cAAcvmB,EAAE,MAAM,MAAM,CAAC,CAAC,EAAE,OAAO+tH,GAAG,EAAErsH,EAAEC,EAAEa,EAAEH,CAAC,EAAET,CAAC,CAAC,IAAIssH,IAAG,CAAC,WAAWlrG,GAAG,YAAY,OAAO,WAAWirG,IAAI,UAAUD,GAAG,EAAMG,GAAG,SAASC,IAAI3uH,EAAE,CAAC0uH,GAAG1uH,EAAE,KAAK,MAAM6jB,GAAG,KAAK,CAAC,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS+qG,IAAI5uH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAO,CAAC,EAAEE,CAAC,CAAC,EAAEF,EAAEM,EAAE,EAAE,UAAU,IAAIJ,EAAE,MAAM,EAAE,GAAGK,EAAE,EAAE,WAAWL,EAAE,MAAMA,EAAE,KAAK,EAAE,EAAE,EAAE,UAAU,IAAIK,EAAE,MAAM,EAAE,GAAG,OAAOumB,EAAE,cAAcvmB,EAAE,KAAK,IAAI,GAAGmuH,GAAGpuH,EAAE,CAAC,EAAEC,CAAC,CAAC,IAAIsuH,IAAG,CAAC,WAAW,UAAU,YAAY,OAAO,UAAUF,IAAI,WAAWC,GAAG,EAAME,IAAGnP,GAAGj8F,EAAE,EAAMqrG,GAAG,SAASC,IAAIhvH,EAAE,CAAC+uH,GAAG/uH,EAAE,KAAK,MAAMmkB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS8qG,IAAIjvH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAO,CAAC,OAAOE,CAAC,EAAE,MAAM,CAAC,IAAII,CAAC,CAAC,EAAEN,EAAEO,EAAE,EAAE,UAAU,IAAIL,EAAE,MAAM,EAAE,GAAG,EAAE,EAAE,WAAWA,EAAE,MAAMA,EAAE,KAAK,EAAE,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG+B,EAAE/B,EAAE,MAAMI,GAAG4B,EAAE4kB,EAAE,cAAc5mB,EAAE,KAAK,EAAE+B,EAAE,OAAO6kB,EAAE,cAAc,EAAE,KAAK,IAAI,GAAGioG,GAAGxuH,EAAE,EAAE0B,EAAEC,CAAC,EAAE,CAAC,CAAC,IAAIgtH,IAAG,CAAC,WAAW/qG,GAAG,YAAY,OAAO,UAAU6qG,IAAI,WAAWC,GAAG,EAAE,SAASE,IAAInvH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAE6kB,EAAE,cAAc,CAAC,EAAE5kB,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAEA,EAAE,KAAK,GAAG,CAAC,EAAE,QAAQ4C,EAAE,EAAE,EAAE,OAAOA,EAAEvE,EAAE,MAAM,OAAO,EAAEuE,EAAE5C,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,EAAE,IAAIC,EAAE4pH,GAAG,WAAW,CAAC,OAAO,CAAC,EAAExrH,CAAC,EAAE,QAAQL,EAAE,MAAM,CAAC,SAASgC,EAAE,cAAc,CAAC,CAAC,CAAC,EAAEU,EAAE43C,EAAE,YAAYr4C,EAAE,MAAM,EAAEF,EAAE,EAAE,EAAEY,EAAE23C,EAAE,YAAY53C,EAAE,OAAO,EAAE,OAAO,EAAE,EAAEE,EAAE03C,EAAE,oBAAoBr4C,EAAE,MAAM,EAAEF,EAAE,EAAE,EAAE,EAAE4/G,GAAG,CAAC,OAAO,CAAC,EAAE1/G,CAAC,EAAE,QAAQjC,EAAE,MAAM,CAAC,MAAM0C,CAAC,CAAC,CAAC,EAAEmC,EAAEy7G,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQtgH,EAAE,MAAM,CAAC,KAAK2C,CAAC,CAAC,CAAC,EAAEgC,EAAEg9G,GAAG,CAAC,OAAO,CAAC,EAAE98G,CAAC,EAAE,QAAQ7E,EAAE,MAAM,CAAC,MAAM4C,CAAC,CAAC,CAAC,EAAE,OAAO5C,EAAE,YAAYiC,EAAE,MAAM,EAAEjC,EAAE,YAAY,EAAE,MAAM,EAAEA,EAAE,YAAY6E,EAAE,MAAM,EAAEF,CAAC,CAAC,IAAIuqH,IAAG,CAAC,WAAWnrG,GAAG,YAAY,OAAO,WAAWkrG,GAAG,EAAME,GAAG,SAASC,IAAItvH,EAAE,CAACqvH,GAAGrvH,EAAE,KAAK,MAAM,sBAAsB,SAAS,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASuvH,IAAIvvH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,CAAC,EAAEF,EAAE,CAAC,QAAQM,EAAE,OAAOC,EAAE,WAAW,EAAE,aAAa,CAAC,EAAEL,EAAE+B,EAAE3B,EAAE,MAAM,GAAG4B,EAAE5B,EAAE,MAAM,GAAG6B,EAAE,EAAE,SAAS,EAAE,MAAM,EAAE,GAAGS,EAAE,CAACX,EAAEE,EAAED,CAAC,EAAEW,EAAE,EAAE,UAAU,IAAIvC,EAAE,MAAM,EAAE,GAAGwC,EAAE,EAAE,UAAU,IAAIvC,EAAE,MAAM,EAAE,GAAGwC,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAE,EAAE,WAAWJ,EAAEtC,EAAE,KAAK,EAAE4D,EAAE,EAAE,UAAU,IAAIlB,EAAE,MAAM,EAAE,GAAG,EAAE,EAAE,WAAWJ,EAAE,MAAM,EAAE,CAAC,EAAErC,EAAE,KAAK,EAAEgH,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGxC,EAAE,EAAE,WAAW,CAAC5C,CAAC,EAAE,MAAM,EAAEwC,EAAE,EAAE,UAAU,IAAII,EAAE,MAAM,EAAE,GAAGH,EAAE,EAAE,WAAW,CAAC3C,CAAC,EAAE3B,EAAE,KAAK,EAAEuE,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGE,EAAE,EAAE,WAAW,CAAC,CAAC,EAAE,OAAO,EAAE0C,EAAE,EAAE,UAAU,IAAI1C,EAAE,MAAM,EAAE,GAAGE,EAAEqqH,GAAGxsH,EAAEC,EAAEu8G,GAAG9+G,EAAE,OAAO0B,EAAEE,EAAED,EAAEa,EAAEmB,EAAEqD,EAAE5C,EAAEE,EAAE2C,CAAC,EAAEC,EAAE,EAAE,SAAS3C,EAAE,MAAM,EAAEG,EAAE,OAAOwC,EAAE,GAAG,CAAC,IAAK,GAAE,CAACxC,EAAEu1C,EAAE,gDAAgD/yC,EAAE,EAAE,EAAE,KAAK,CAAC,IAAK,GAAE,CAACxC,EAAEu1C,EAAE,gDAAgD/yC,EAAE,GAAGA,EAAE,EAAE,EAAE,KAAK,CAAC,IAAK,GAAExC,EAAEu1C,EAAE,kDAAkD/yC,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,EAAE,MAAM,QAAQxC,EAAE,EAAE,CAAC,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAEG,EAAE,MAAM,EAAE,YAAYjC,EAAE,MAAM,EAAE,EAAE,YAAY,EAAE,MAAM,EAAE,EAAE,YAAY+B,EAAE,MAAM,EAAE,EAAE,YAAYH,EAAE,MAAM,EAAE,IAAI,MAAMK,CAAC,EAAE,IAAIC,EAAElC,EAAEmC,EAAE,EAAE,OAAOH,IAAIpC,EAAE,KAAKsC,EAAEi9G,GAAG,CAAC,OAAO,CAAC,EAAEn/G,CAAC,EAAE,MAAM,CAAC,MAAM,EAAE,KAAK,CAACgC,EAAE9C,CAAC,CAAC,EAAE,QAAQ,CAAC,CAAC,EAAEiD,EAAEg9G,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,MAAM,CAAC,MAAM,EAAE,KAAKn9G,CAAC,EAAE,QAAQ,CAAC,CAAC,EAAE,EAAE,YAAYhC,EAAE,MAAM,EAAE,EAAE,YAAY,EAAE,MAAM,GAAG,CAACkC,EAAEC,EAAEJ,EAAEH,CAAC,CAAC,CAAC,IAAI4qH,IAAG,CAAC,WAAWprG,GAAG,YAAY,OAAO,UAAUkrG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI1vH,EAAE,CAACyvH,GAAGzvH,EAAE,KAAK,MAAMqkB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASsrG,IAAI3vH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,CAAC,EAAEF,EAAE,CAAC,aAAaM,EAAE,WAAWC,EAAE,SAAS,CAAC,EAAEL,EAAE,GAAGI,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACty4CA,EAAE,OAAO,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACjDA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,sDAAsD,EAAE,OAAO,EAAE,IAAI,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAG2B,EAAE,EAAE,UAAU,IAAI1B,EAAE,MAAM,EAAE,GAAG2B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAE7B,EAAE,MAAM,GAAGsC,EAAEkkB,EAAE,cAAc,EAAE,KAAK,EAAEjkB,EAAE,EAAE,WAAW,CAACV,EAAES,CAAC,EAAEtC,EAAE,KAAK,EAAEwC,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGE,EAAE,EAAE,WAAW,CAACH,CAAC,EAAE,EAAE,KAAK,EAAEI,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGmB,EAAE,EAAE,WAAW,CAAC,CAAC,EAAE,OAAO,EAAE,EAAE,EAAE,UAAU,IAAIA,EAAE,MAAM,EAAE,GAAGurH,GAAG,EAAExtH,EAAEC,EAAEC,EAAEW,EAAEE,EAAE,CAAC,EAAE,IAAIuE,EAAE,EAAE,SAASrD,EAAE,MAAM,EAAEa,EAAE,OAAOwC,EAAE,GAAG,CAAC,IAAK,GAAE,CAACxC,EAAEy1C,EAAE,yDAAyDjzC,EAAE,GAAGA,EAAE,EAAE,EAAE,KAAK,CAAC,IAAK,GAAE,CAACxC,EAAEy1C,EAAE,8CAA8CjzC,EAAE,GAAGA,EAAE,EAAE,EAAE,KAAK,CAAC,IAAK,GAAExC,EAAEy1C,EAAE,qDAAqD,EAAE,MAAM,IAAK,GAAE,CAAC,IAAI71C,EAAE,MAAM,KAAK,EAAE,SAASpE,EAAE,MAAM,CAAC,EAAEqE,EAAE,MAAM,KAAK,EAAE,SAAS7B,EAAE,MAAM,CAAC,EAAEgC,EAAEy1C,EAAE,gDAAgD71C,EAAEC,CAAC,EAAE,KAAK,CAAC,IAAK,GAAE,CAAC,IAAID,EAAE,MAAM,KAAK,EAAE,SAASpE,EAAE,MAAM,CAAC,EAAEqE,EAAE,MAAM,KAAK,EAAE,SAAS7B,EAAE,MAAM,CAAC,EAAEgC,EAAEy1C,EAAE,gDAAgD71C,EAAEC,CAAC,EAAE,KAAK,CAAC,QAAQG,EAAE,EAAE,CAAC,GAAG,EAAE,YAAYb,EAAE,MAAM,EAAEa,EAAE,MAAM,EAAE,YAAYlC,EAAE,MAAM,EAAE,EAAE,YAAYE,EAAE,MAAM,EAAE,IAAI,MAAMgC,CAAC,EAAE,MAAM,CAAClC,EAAEE,CAAC,CAAC,CAAC,IAAI6sH,IAAG,CAAC,WAAWvrG,GAAG,YAAY,OAAO,UAAUqrG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,GAAG9vH,EAAE,CAAC6vH,GAAG7vH,EAAE,KAAK,MAAM,yBAAyB,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS+vH,GAAG/vH,EAAE,EAAE,CAAC,GAAG,CAAC,QAAQE,EAAE,OAAOI,CAAC,EAAEN,EAAE,CAAC,KAAKO,EAAE,QAAQ,EAAE,WAAW,CAAC,EAAED,EAAE2B,EAAE,EAAE,MAAM,GAAGC,EAAEhC,EAAE,SAAS,EAAE,OAAO+B,EAAE,EAAEA,CAAC,EAAE,GAAGW,EAAEX,EAAE,EAAEC,EAAE,EAAE,EAAE,GAAGU,EAAE,EAAE,MAAM,IAAI,MAAM43C,EAAE,wDAAwD,CAAC,EAAE,IAAI,EAAEj6C,EAAE,MAAM,MAAM,EAAE,EAAE,GAAGqC,EAAE,IAAIE,EAAE5C,EAAE,UAAU,IAAIK,EAAE,MAAM,EAAE,GAAGwC,EAAE7C,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG8C,EAAE9C,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGgE,EAAEhE,EAAE,WAAW,EAAEK,EAAE,KAAK,EAAE4D,EAAEjE,EAAE,UAAU,IAAIgE,EAAE,MAAM,EAAE,GAAGqD,EAAErH,EAAE,WAAW,CAAC,CAAC,EAAE,OAAO,EAAE,EAAEA,EAAE,UAAU,IAAIqH,EAAE,MAAM,EAAE,GAAGsoH,GAAG/sH,EAAEu8G,GAAG9+G,EAAE,OAAOA,EAAE,MAAM,GAAGwC,EAAEC,EAAEmB,EAAE,EAAE,EAAE,CAAC,EAAE,IAAIQ,EAAEzE,EAAE,SAASqH,EAAE,MAAM,EAAE3C,EAAE,OAAOD,EAAE,GAAG,CAAC,IAAK,GAAE,CAACC,EAAE41C,EAAE,wDAAwD,EAAE,KAAK,CAAC,IAAK,GAAE,CAAC51C,EAAE41C,EAAE,6DAA6D,EAAE,KAAK,CAAC,IAAK,GAAE51C,EAAE41C,EAAE,yDAAyD71C,EAAE,GAAGA,EAAE,EAAE,EAAE,MAAM,IAAK,GAAEC,EAAE41C,EAAE,uDAAuD71C,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,EAAE,MAAM,QAAQC,EAAE,EAAE,CAAC,GAAG1E,EAAE,YAAYqH,EAAE,MAAM,EAAE3C,EAAE,MAAM1E,EAAE,YAAYgE,EAAE,MAAM,EAAE,IAAI,MAAMU,CAAC,EAAE,OAAOV,CAAC,CAAC,SAAS8rH,IAAIhwH,EAAE,CAAC,OAAO+vH,GAAG/vH,EAAE,EAAE,CAAC,CAAC,IAAIiwH,IAAG,CAAC,WAAW3rG,GAAG,YAAY,OAAO,UAAUwrG,GAAG,WAAWE,GAAG,EAAE,SAASE,IAAIlwH,EAAE,CAAC,OAAO+vH,GAAG/vH,EAAE,EAAE,CAAC,CAAC,IAAImwH,IAAG,CAAC,WAAW5rG,GAAG,YAAY,OAAO,UAAUurG,GAAG,WAAWI,GAAG,EAAE,SAASE,IAAIpwH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,CAAC,gBAAgB,EAAE,KAAK,CAAC,EAAEL,EAAE+B,EAAE6kB,EAAE,eAAe,EAAEvmB,EAAE,KAAK,EAAE,GAAG2B,EAAEs4C,EAAE,iBAAiBj6C,EAAE,EAAE0B,CAAC,EAAEE,EAAE,IAAI,MAAM5B,EAAE,MAAM,MAAM,EAAE,KAAK,CAAC,EAAEqC,EAAErC,EAAE,MAAM,MAAM,EAAE,OAAO2B,EAAE,IAAIW,GAAG,CAAC,IAAIC,EAAE,CAAC,GAAGF,CAAC,EAAEE,EAAEb,GAAGY,EAAE,IAAIE,EAAEo/G,GAAG,CAAC,OAAO,CAAC,EAAE5hH,CAAC,EAAE,MAAM,CAAC,MAAM4B,EAAE,KAAKW,CAAC,EAAE,QAAQxC,CAAC,CAAC,EAAE,OAAO6B,EAAEF,IAAIY,EAAEE,CAAC,CAAC,CAAC,CAAC,IAAIstH,IAAG,CAAC,WAAWnsG,GAAG,YAAY,OAAO,WAAWksG,GAAG,EAAME,IAAG3Q,GAAG57F,EAAE,EAAMwsG,IAAG5Q,GAAGj7F,EAAE,EAAM8rG,IAAI,GAAGC,IAAG5Q,GAAGp7F,GAAG+rG,GAAG,EAAME,GAAG,SAASC,IAAI3wH,EAAE,CAAC0wH,GAAG1wH,EAAE,KAAK,MAAM2lB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASirG,IAAI5wH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEJ,EAAE,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG+B,EAAE,EAAE,WAAW,EAAE,MAAM,EAAE,KAAK,EAAEC,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAG,OAAOyuH,GAAG,EAAEnwH,EAAE8+G,GAAG,EAAE,OAAOn9G,CAAC,EAAED,CAAC,CAAC,IAAI4uH,IAAG,CAAC,WAAWlrG,GAAG,YAAY,OAAO,UAAUgrG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI/wH,EAAE,CAAC8wH,GAAG9wH,EAAE,KAAK,MAAM2kB,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,QAAQ,QAAQ,QAAQ,QAAQ,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASqsG,IAAIhxH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAEL,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,QAAQ+B,EAAE,UAAUC,EAAE,QAAQC,EAAE,aAAaS,EAAE,YAAYC,EAAE,eAAeC,CAAC,EAAExC,EAAE,CAAC,iBAAiByC,EAAE,WAAWC,EAAE,WAAWkB,EAAE,UAAU,EAAE,cAAcqD,EAAE,MAAMxC,EAAE,IAAIJ,EAAE,QAAQC,CAAC,EAAEwxB,GAAG,UAAU71B,EAAE,MAAM,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAEC,EAAEC,CAAC,EAAE+B,EAAE,GAAGX,EAAEW,EAAEg9G,GAAG,CAAC,OAAO,CAAC,EAAEthH,CAAC,EAAE,QAAQ,EAAE,MAAM,CAAC,MAAMyC,CAAC,CAAC,CAAC,UAAU,GAAGuE,EAAE,CAACuf,EAAE,OAAOvmB,EAAE,MAAM,QAAQ,EAAE,IAAI,yCAAyCA,EAAE,MAAM,QAAQ,EAAE,IAAIuE,EAAEsxB,GAAG,gBAAgBrxB,EAAEJ,EAAEC,CAAC,EAAE4C,EAAE26G,GAAG,CAAC,OAAO,CAAC,EAAE5hH,CAAC,EAAE,QAAQ,EAAE,MAAM,CAAC,MAAMwE,EAAE,KAAKD,CAAC,CAAC,CAAC,EAAED,EAAEg9G,GAAG,CAAC,OAAO,CAAC,EAAEr6G,CAAC,EAAE,QAAQ,EAAE,MAAM,CAAC,MAAMxE,CAAC,CAAC,CAAC,EAAE,EAAE,YAAYwE,EAAE,MAAM,CAAC,KAAK,CAAC,IAAI1C,EAAE,EAAE,WAAW/B,EAAE,SAAS,EAAEyE,EAAE,EAAE,UAAU,IAAIjH,EAAE,MAAM,EAAE,GAAGyE,EAAE,IAAI,WAAW,IAAI,WAAW8hB,EAAE,eAAevmB,EAAE,KAAK,CAAC,EAAE,MAAM,EAAEkH,EAAE,IAAI,WAAW,IAAI,WAAW1C,CAAC,EAAE,MAAM,EAAEE,EAAE,IAAI,WAAW,IAAI,WAAWN,CAAC,EAAE,MAAM,EAAEO,EAAE,IAAI,WAAW,IAAI,WAAWN,CAAC,EAAE,MAAM,EAAEO,EAAE,IAAI,WAAW,IAAI,WAAWpC,CAAC,EAAE,MAAM,EAAEqC,EAAE,IAAI,WAAW,IAAI,WAAW0hB,EAAE,eAAe/jB,CAAC,CAAC,EAAE,MAAM,EAAEsC,EAAE,EAAE,UAAU,IAAIP,EAAE,MAAM,EAAE,GAAGgsH,GAAGtpH,EAAExC,EAAEzE,EAAE,MAAM,OAAOkH,EAAExC,EAAEC,EAAEC,EAAEC,EAAErC,EAAE,OAAOsC,CAAC,EAAER,EAAEg9G,GAAG,CAAC,OAAO,CAAC,EAAE/8G,CAAC,EAAE,QAAQ,EAAE,MAAM,CAAC,MAAM9B,CAAC,CAAC,CAAC,EAAE,EAAE,YAAY8B,EAAE,MAAM,CAAC,CAAC,OAAOD,CAAC,CAAC,IAAIosH,IAAG,CAAC,WAAWtsG,GAAG,YAAY,OAAO,UAAUosG,IAAI,WAAWC,GAAG,EAAE,SAASE,IAAIlxH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,KAAKO,EAAE,WAAW,CAAC,EAAEL,EAAE,CAAC,UAAU,EAAE,YAAY+B,EAAE,QAAQC,EAAE,SAASC,EAAE,SAASS,EAAE,uBAAuBC,CAAC,EAAEvC,EAAEwC,EAAE,EAAE,SAASvC,EAAE,MAAM,EAAEwC,EAAE,EAAE,SAAS,EAAE,MAAM,EAAE,CAACC,EAAEkB,CAAC,EAAEmwE,GAAGvxE,EAAEC,EAAE,EAAEd,EAAEC,EAAEC,EAAES,EAAEC,CAAC,EAAE,EAAE,EAAE,WAAW,CAACG,EAAE,MAAM,EAAE,QAAQ,EAAEuE,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAEA,EAAE,YAAYvE,EAAE,IAAI+B,EAAE,EAAE,WAAW,EAAE,MAAM,OAAO,EAAE,OAAO,EAAE,mBAAmBA,CAAC,EAAE,IAAIb,CAAC,EAAE,CAAC,EAAEa,CAAC,CAAC,CAAC,IAAIosH,IAAG,CAAC,WAAWvsG,GAAG,YAAY,OAAO,WAAWssG,GAAG,EAAE,SAASE,IAAIpxH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,EAAE,UAAU,CAAC,EAAEL,EAAE,CAAC,UAAU,CAAC,EAAEI,EAAE2B,EAAE,EAAE,SAAS1B,EAAE,MAAM,EAAE2B,EAAE,EAAE,SAAS,EAAE,MAAM,EAAE,CAACC,EAAES,EAAEC,CAAC,EAAEyxE,GAAGryE,EAAEC,EAAE,GAAG,CAAC,EAAEY,EAAEF,EAAE,OAAOG,EAAE,EAAE,WAAW,CAACD,EAAE,CAAC,EAAE,OAAO,EAAE,EAAE,mBAAmBC,CAAC,EAAE,IAAIZ,CAAC,EAAE,IAAI+B,EAAE,EAAE,WAAW,CAACpB,CAAC,EAAE,QAAQ,EAAEqB,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAEC,EAAE,YAAYvB,EAAE,IAAI2E,EAAE,EAAE,WAAW,CAAC,CAAC,EAAE,OAAO,EAAE,OAAO,EAAE,mBAAmBA,CAAC,EAAE,IAAI1E,CAAC,EAAE,CAACE,EAAEmB,EAAEqD,CAAC,CAAC,CAAC,IAAI8pH,IAAG,CAAC,WAAWxsG,GAAG,YAAY,OAAO,WAAWusG,GAAG,EAAE,SAASE,IAAItxH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,CAAC,EAAEL,EAAE,CAAC,WAAW,CAAC,EAAEI,EAAE,EAAE,EAAE,SAASC,EAAE,MAAM,EAAE0B,EAAEsyE,GAAG,EAAE,CAAC,EAAEryE,EAAE,EAAE,WAAW3B,EAAE,MAAM,OAAO,EAAE,OAAO,EAAE,mBAAmB2B,CAAC,EAAE,IAAID,CAAC,EAAEC,CAAC,CAAC,IAAIqvH,IAAG,CAAC,WAAWzsG,GAAG,YAAY,OAAO,WAAWwsG,GAAG,EAAME,IAAI,GAAGC,IAAG5R,GAAG96F,GAAGysG,GAAG,EAAME,GAAG,SAASC,IAAI3xH,EAAE,CAAC0xH,GAAG1xH,EAAE,KAAK,MAAMgkB,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS4tG,IAAI5xH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,KAAKO,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEJ,EAAE+B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAED,EAAEE,EAAE,EAAE,CAAC,WAAWS,EAAE,KAAKC,EAAE,aAAaC,EAAE,mBAAmBC,CAAC,EAAE69G,GAAG,EAAErgH,EAAE,CAAC,EAAEyC,EAAEH,EAAE,GAAGE,EAAE,CAAC,IAAI4B,EAAE,EAAE,UAAU,IAAI/B,EAAE,MAAM,EAAE,GAAG+B,IAAI1C,IAAIE,EAAES,EAAEV,EAAEyC,EAAE3B,EAAEw3C,EAAE,iBAAiBx3C,EAAE,OAAOb,EAAE,MAAM,MAAM,EAAE,CAACq4C,EAAE,2BAA2B,MAAMx3C,EAAEb,EAAE,MAAM,MAAM,EAAE,GAAG,CAAC+B,EAAE,CAAC,EAAEs2C,EAAE,0BAA0Br4C,EAAE,MAAMa,CAAC,EAAEuE,EAAEuf,EAAE,cAAc,CAAC,EAAE/hB,EAAE,EAAE,WAAWb,EAAE/B,EAAE,KAAK,EAAE,GAAG2kB,EAAE,cAAc3kB,EAAE,KAAK,IAAI,EAAE,CAAC,IAAIwC,EAAE,EAAE,UAAU,IAAII,EAAE,MAAM,EAAE,GAAG2sH,GAAGxvH,EAAEqF,EAAE83G,GAAGt6G,EAAE,OAAOJ,CAAC,CAAC,CAAC,GAAG5B,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAE,EAAE,CAAC,IAAI+B,EAAE61C,EAAE,qBAAqBz1C,EAAE,MAAMjC,CAAC,EAAEiC,EAAE,MAAMJ,CAAC,CAAC,OAAOI,CAAC,CAAC,IAAI8sH,IAAG,CAAC,WAAW7tG,GAAG,YAAY,OAAO,UAAU2tG,IAAI,WAAWC,GAAG,EAAME,IAAGnS,GAAG36F,EAAE,EAAM+sG,IAAGpS,GAAG16F,EAAE,EAAM+sG,GAAG,SAASC,IAAIjyH,EAAE,CAACgyH,GAAGhyH,EAAE,KAAK,MAAMklB,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASgtG,IAAIlyH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,EAAEO,CAAC,EAAE,EAAE,EAAEL,EAAE,UAAU,IAAIK,EAAE,MAAM,EAAE,GAAG,CAAC,KAAK,CAAC,EAAED,EAAE2B,EAAE,IAAI,MAAM1B,EAAE,MAAM,MAAM,EAAE,QAAQuC,EAAE,EAAEA,EAAEb,EAAE,OAAOa,IAAIb,EAAEa,GAAGvC,EAAE,MAAMuC,GAAG,EAAEA,GAAG,IAAIZ,EAAE,IAAI,WAAW,IAAI,WAAW3B,EAAE,KAAK,EAAE,MAAM,EAAE4B,EAAE,IAAI,WAAW,IAAI,WAAWF,CAAC,EAAE,MAAM,EAAEW,EAAE1C,EAAE,WAAW+B,EAAE1B,EAAE,KAAK,EAAEsC,EAAE3C,EAAE,UAAU,IAAI0C,EAAE,MAAM,EAAE,GAAG,OAAOovH,GAAG,EAAE9vH,EAAE3B,EAAE,MAAM,OAAO4B,EAAEF,EAAE,OAAOo9G,GAAGz8G,EAAE,OAAOC,CAAC,EAAED,CAAC,CAAC,IAAIuvH,IAAG,CAAC,WAAWjtG,GAAG,YAAY,OAAO,UAAU+sG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIryH,EAAE,CAACoyH,GAAGpyH,EAAE,KAAK,MAAMmlB,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,SAAS,SAAS,OAAO,SAAS,QAAQ,CAAC,CAAC,CAAC,IAAImtG,IAAI,CAAC,CAAC,OAAOtyH,EAAE,QAAQ,EAAE,MAAME,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEI,CAAC,EAAEN,EAAE,CAAC,EAAEO,EAAE,OAAO,CAAC,EAAEL,EAAE,EAAE,EAAE,UAAU,IAAII,EAAE,MAAM,EAAE,GAAG2B,EAAE,IAAI,WAAW,IAAI,WAAW3B,EAAE,KAAK,EAAE,MAAM,EAAE4B,EAAE5B,EAAE,MAAM,MAAM,EAAE4B,EAAEA,EAAE,OAAO,GAAG3B,EAAE,IAAI4B,EAAE,EAAE,WAAWD,EAAE5B,EAAE,KAAK,EAAEsC,EAAE,EAAE,UAAU,IAAIT,EAAE,MAAM,EAAE,GAAGU,EAAE,EAAE,WAAWX,EAAE,OAAO,EAAEY,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAG,OAAOuvH,GAAG,EAAEnwH,EAAE3B,EAAE,MAAM,OAAO++G,GAAG/+G,EAAE,OAAOC,EAAE,EAAEqC,EAAEE,CAAC,EAAE,CAACX,EAAEU,CAAC,CAAC,EAAE0vH,IAAG,CAAC,WAAWptG,GAAG,YAAY,OAAO,UAAUktG,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIzyH,EAAE,CAACwyH,GAAGxyH,EAAE,KAAK,MAAMolB,GAAG,KAAK,CAAC,SAAS,SAAS,OAAO,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,SAAS,QAAQ,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASstG,IAAI1yH,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,EAAE,WAAW,CAAC,EAAEL,EAAE,CAAC,cAAc,EAAE,SAAS+B,EAAE,UAAUC,EAAE,YAAYC,CAAC,EAAE7B,EAAE,CAACsC,EAAEC,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAM,CAACyC,EAAEkB,CAAC,EAAE/B,GAAG,KAAKA,EAAE,CAACU,EAAEC,CAAC,EAAE,EAAE,CAACF,EAAEI,EAAEkB,EAAEnB,CAAC,EAAEwE,EAAE,IAAI,WAAW,IAAI,WAAWuf,EAAE,eAAevmB,EAAE,KAAK,CAAC,EAAE,MAAM,EAAEwE,EAAE,IAAI,WAAW,IAAI,WAAW+hB,EAAE,eAAe,CAAC,CAAC,EAAE,MAAM,EAAEniB,EAAE,EAAE,WAAW,EAAEpE,EAAE,KAAK,EAAEqE,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGG,EAAE,EAAE,UAAU,IAAIvE,EAAE,MAAM,EAAE,GAAGyE,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGyC,EAAE,IAAI,UAAU,EAAE,EAAExC,EAAE,OAAOhD,EAAE,CAAC,IAAI,WAAWgD,EAAE,EAAE,MAAM,IAAI,UAAUA,EAAE,EAAE,MAAM,IAAI,OAAOA,EAAE,EAAE,MAAM,IAAI,UAAUA,EAAE,EAAE,MAAM,QAAQA,EAAE,EAAE,KAAK,CAAC,OAAOutH,GAAG1tH,EAAEE,EAAE,EAAE,MAAM,GAAG,EAAEpC,EAAEI,EAAEkB,EAAEnB,EAAED,EAAED,EAAE0E,EAAEhH,EAAE,MAAM,OAAO,EAAEwE,EAAE,EAAE,OAAO,EAAE0C,EAAExC,EAAE/C,EAAE0C,CAAC,EAAED,CAAC,CAAC,IAAIguH,IAAG,CAAC,WAAWvtG,GAAG,YAAY,OAAO,UAAUqtG,IAAI,WAAWC,GAAG,EAAE,SAASE,IAAI5yH,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAMI,CAAC,EAAEN,EAAE,CAAC,MAAMO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAE,IAAI,GAAGC,EAAE,MAAM,QAAQ,IAAI,EAAEA,EAAE,MAAM,GAAG0B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE,IAAI,MAAMD,EAAE,CAAC,EAAEE,EAAE,EAAE,QAAQY,EAAE,EAAEA,EAAEd,EAAEc,IAAIA,IAAI,IAAIb,EAAEC,KAAK5B,EAAE,MAAMwC,IAAI,IAAIH,EAAE,IAAI,MAAM,CAAC,EAAEC,EAAE,IAAI,MAAMZ,CAAC,EAAE,KAAK,CAAC,EAAEa,EAAEvC,EAAE,MAAM,MAAM,EAAEuC,EAAE,GAAG,EAAE,QAAQC,EAAE,EAAEA,EAAEH,EAAE,OAAOG,IAAIF,EAAE,GAAGE,EAAEH,EAAEG,GAAGo/G,GAAG,CAAC,OAAO,CAAC,EAAE5hH,CAAC,EAAE,MAAM,CAAC,MAAMsC,EAAE,KAAKC,CAAC,EAAE,QAAQ5C,CAAC,CAAC,EAAE,OAAO0C,EAAE,IAAI,CAAC,CAAC,OAAOG,EAAE,MAAMC,CAAC,KAAK,CAAC,OAAOD,EAAE,MAAMC,EAAE,MAAMd,CAAC,EAAE,CAAC,CAAC,IAAI2wH,IAAG,CAAC,WAAWttG,GAAG,YAAY,OAAO,WAAWqtG,GAAG,EAAE,SAASE,IAAI9yH,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQE,CAAC,EAAEF,EAAEM,EAAEJ,EAAE,WAAW,EAAE,MAAM,EAAE,KAAK,EAAE,OAAOA,EAAE,mBAAmBI,CAAC,EAAE,KAAK,CAAC,EAAEA,CAAC,CAAC,IAAIyyH,IAAG,CAAC,WAAWrtG,GAAG,YAAY,OAAO,WAAWotG,GAAG,EAAME,IAAI,CAACtT,IAAGE,IAAGG,IAAGI,IAAGa,IAAGI,IAAGI,IAAGI,IAAGM,IAAGO,IAAGE,IAAGC,IAAGI,IAAGE,IAAGI,IAAGI,IAAGC,IAAGC,IAAGK,IAAGI,IAAGI,IAAGI,IAAGI,IAAGC,IAAGE,IAAGC,IAAGE,IAAGE,IAAGI,IAAGC,IAAGE,IAAGI,IAAGI,IAAGI,IAAGI,IAAGI,IAAGE,IAAGE,IAAGnH,IAAGuH,IAAGE,IAAGE,IAAGC,IAAGE,IAAGC,IAAGE,IAAGE,IAAGI,IAAGE,IAAGI,IAAGI,IAAGI,IAAGE,IAAGK,IAAGE,IAAGC,IAAGK,IAAGI,IAAGI,IAAGE,IAAGI,IAAGE,IAAGE,IAAGI,GAAGE,IAAGI,IAAGI,IAAGE,IAAGE,IAAGC,IAAGC,IAAGjL,IAAGqL,IAAGI,IAAGI,IAAGI,IAAGC,IAAGC,IAAGI,IAAGI,IAAGI,IAAGC,IAAGvM,IAAG2M,IAAGE,IAAGI,IAAGI,IAAGK,IAAGE,IAAGE,IAAGC,IAAGC,IAAGE,IAAGI,IAAGI,IAAGE,IAAGE,IAAGE,IAAGE,IAAGI,IAAGC,IAAGC,IAAGI,IAAGI,IAAGI,IAAGhS,IAAGkS,IAAGE,GAAE,EAAE,QAAQ/yH,KAAKgzH,IAAIvsG,GAAGzmB,CAAC,EAAE,IAAIizH,GAAGx4G,EAAE,EAAEw4G,GAAG,aAAa,wBAAwB,SAAS,CAAC,GAAG,CAAC,OAAO,YAAY,SAAS,IAAI,WAAW,CAAC,EAAE,GAAG,IAAI,IAAI,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,IAAI,GAAG,GAAG,EAAE,CAAC,CAAC,CAAC,OAAOjzH,EAAN,CAAS,MAAM,EAAE,CAAC,CAAC,EAAEizH,GAAG,aAAa,+BAA+B,SAAS,CAAC,GAAGA,GAAG,IAAI,SAAS,EAAE,MAAM,GAAG,GAAG,CAAC,OAAO,IAAI,eAAe,EAAE,MAAM,YAAY,IAAI,kBAAkB,CAAC,CAAC,EAAE,YAAY,SAAS,IAAI,WAAW,CAAC,EAAE,GAAG,IAAI,IAAI,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,GAAG,EAAE,EAAE,EAAE,GAAG,EAAE,IAAI,GAAG,EAAE,EAAE,GAAG,EAAE,CAAC,CAAC,CAAC,OAAOjzH,EAAN,CAAS,MAAM,EAAE,CAAC,CAAC,EAAE,IAAIkzH,GAAG1yH,GAAG+F,GAAG,CAAC,EAAE4sH,IAAG3yH,GAAGoW,GAAG,CAAC,EAAEw8G,GAAG5yH,GAAGuW,GAAG,CAAC,EAAMs8G,GAAGH,GAAG,SAASA,GAAGI,IAAIF,GAAG,SAASA,GAAGG,GAAG,cAAcn8G,EAAE,CAAC,YAAYtW,EAAE,CAAC,MAAM,EAAE,KAAK,KAAKA,EAAE,KAAK,iBAAiB,EAAE,KAAK,KAAK,KAAK,qBAAqB0yH,EAAE,EAAEC,GAAG,KAAK,KAAK,KAAK,gBAAgB,EAAE,KAAK,UAAU,IAAIt8G,GAAG,KAAKmc,GAAG,CAAC,CAAC,CAAC,MAAMxyB,EAAEZ,EAAE,EAAE,CAAC,IAAIK,EAAE,CAAC,GAAG,KAAK,kBAAkB,EAAE,OAAO,KAAK,KAAKA,EAAEO,EAAEZ,EAAE,EAAE,CAAC,EAAEK,CAAC,CAAC,YAAY,CAAC,OAAO,KAAK,UAAU,WAAW,CAAC,CAAC,MAAM,KAAKO,EAAE,CAAC,IAAIZ,EAAE4mB,EAAE,IAAI,EAAE,OAAOhmB,EAAE,EAAE,CAAC,SAASgmB,EAAE,IAAI,EAAE5mB,CAAC,CAAC,CAAC,KAAKY,EAAEZ,EAAE,EAAEK,EAAEwB,EAAE,CAAC,IAAIC,EAAE,KAAK,mBAAmB,GAAGzB,IAAI,SAAS,CAAC,IAAIqC,EAAE1C,EAAE,KAAK,UAAU,IAAIY,EAAE,CAAC,GAAGkB,EAAE,YAAYY,EAAE,MAAM,EAAE,MAAMrC,EAAE,aAAa,KAAK,SAASwB,CAAC,CAAC,EAAE,MAAM,CAAC,IAAIE,EAAE6kB,EAAE,cAAc,CAAC,EAAE5kB,EAAED,EAAE6kB,EAAE,gBAAgBvmB,CAAC,EAAE,EAAE,KAAK,KAAK,QAAQ2B,CAAC,EAAE,KAAK,UAAU,IAAIpB,EAAE,CAAC,GAAGkB,EAAE,aAAa,EAAE,MAAM,EAAE,MAAMzB,EAAE,SAASwB,CAAC,CAAC,EAAE,KAAK,KAAK,KAAK,eAAeC,EAAEC,EAAE,CAAC,EAAE/B,GAAG,MAAM,KAAK,KAAK,OAAO,IAAI,IAAI,WAAWA,EAAE,OAAOA,EAAE,WAAWgC,CAAC,EAAE,CAAC,CAAC,CAAC,MAAM,KAAKpB,EAAE,CAAC,OAAO,KAAK,SAASA,CAAC,CAAC,CAAC,SAASA,EAAEZ,EAAE,EAAE,CAAC,GAAG,CAAC,aAAaK,EAAE,MAAMwB,EAAE,MAAMC,EAAE,YAAYC,CAAC,EAAE,KAAK,UAAU,IAAInB,CAAC,EAAE,GAAGiB,IAAI,SAAS,OAAO7B,GAAG,MAAMA,IAAI,KAAK,GAAG,MAAM,GAAG+B,EAAE,QAAQA,EAAEA,EAAE,MAAM/B,EAAE,CAAC,EAAEA,EAAEA,GAAG,EAAE,EAAE,GAAG4mB,EAAE,cAAc9kB,CAAC,EAAE,IAAIE,EAAE4kB,EAAE,gBAAgB/kB,CAAC,EAAE,EAAE,KAAK,KAAK,OAAO,MAAMxB,EAAEL,EAAEgC,EAAE3B,EAAE,EAAE2B,CAAC,EAAE,OAAOwxH,IAAI,EAAE,OAAO3xH,CAAC,CAAC,CAAC,YAAYjB,EAAEZ,EAAE,GAAG,CAAC,GAAG,KAAK,UAAU,IAAIY,CAAC,EAAE,CAAC,IAAI,EAAE,KAAK,UAAU,IAAIA,CAAC,EAAE,GAAG,EAAE,WAAW,CAACZ,GAAG,EAAE,SAAS,EAAE,MAAM,GAAG,KAAK,KAAK,MAAM,EAAE,YAAY,EAAE,KAAK,KAAK,KAAK,YAAY,EAAE,EAAE,EAAE,KAAK,UAAU,OAAOY,CAAC,CAAC,CAAC,MAAM,EAAE,CAAC,SAASA,EAAE,CAAC,OAAO,KAAK,UAAU,IAAIA,CAAC,EAAE,KAAK,UAAU,IAAIA,CAAC,EAAE,SAAS,CAAC,CAAC,OAAOA,EAAE,CAAC,IAAIZ,EAAE,KAAK,UAAU,IAAIY,CAAC,EAAEZ,GAAG,MAAMA,EAAE,UAAU,CAAC,gBAAgB,CAAC,MAAO,GAAE,CAAC,gBAAgBY,EAAE,CAAC,OAAO,KAAK,UAAU,IAAIA,CAAC,EAAE,YAAY,CAAC,SAAS,CAAC,KAAK,KAAK,KAAK,QAAQ,EAAE,YAAY,KAAK,MAAM,KAAK,KAAK,QAAQ,oBAAoB,EAAE,KAAK,KAAK,IAAI,CAAC,QAAQ,CAAC,MAAM,CAAC,WAAW,EAAE,CAAC,CAAC,WAAWA,EAAEZ,EAAE,EAAE,CAAC,IAAIK,EAAE,GAAG,GAAG,KAAKA,EAAE,KAAK,MAAM,KAAKO,EAAEZ,CAAC,MAAM,CAAC,IAAI6B,EAAE,KAAK,mBAAmBxB,EAAE,CAAC,GAAGwB,CAAC,EAAE,KAAK,UAAU,IAAIxB,EAAE,CAAC,GAAGwB,EAAE,aAAa,EAAE,MAAMjB,EAAE,MAAMZ,EAAE,SAAS,CAAC,CAAC,EAAE,IAAI8B,EAAE8kB,EAAE,cAAchmB,CAAC,EAAE,KAAK,KAAK,KAAK,eAAeiB,EAAEC,EAAE,CAAC,CAAC,CAAC,MAAM,CAAC,OAAOzB,EAAE,MAAMO,EAAE,MAAMZ,CAAC,CAAC,CAAC,mBAAmB,CAAC,MAAMY,EAAE,MAAMZ,EAAE,OAAO,CAAC,EAAE,CAAC,IAAIK,EAAE,KAAK,KAAK,OAAO,OAAO,CAAC,aAAawB,CAAC,EAAE,KAAK,UAAU,IAAI,CAAC,EAAEC,EAAE8kB,EAAE,cAAchmB,CAAC,EAAE,OAAOZ,EAAE,CAAC,IAAI,UAAU,OAAO,IAAI,aAAaK,EAAEwB,EAAEC,CAAC,EAAE,IAAI,QAAQ,OAAO,IAAI,WAAWzB,EAAEwB,EAAEC,CAAC,EAAE,IAAI,OAAO,OAAO,IAAI,WAAWzB,EAAEwB,EAAEC,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,iBAAiB9B,GAAG,CAAC,CAAC,CAAC,EAAE,SAASyzH,IAAI3zH,EAAE,CAAC,MAAM,CAAC,EAAEE,KAAK4mB,EAAE,MAAM9mB,EAAE,CAAC,YAAY,aAAa,CAAC,EAAE,KAAKM,GAAG,CAACA,EAAE,IAAI,EAAE,IAAI,EAAE,uCAAuCN,IAAI,EAAEM,EAAE,YAAY,EAAE,KAAKC,GAAG,CAAC,YAAY,YAAYA,EAAE,CAAC,EAAE,KAAK,GAAG,CAACL,EAAE,EAAE,SAAS,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,SAAS0zH,GAAG5zH,EAAE,EAAEE,EAAE,CAAC,GAAG2zH,IAAI,KAAK,OAAOA,GAAG,IAAIvzH,EAAE,yBAAyB,OAAON,GAAG,EAAEM,EAAE,uCAAuCN,IAAIM,EAAE,+BAA+BwzH,IAAI,MAAMA,GAAGxzH,IAAI,KAAKwzH,GAAGxzH,GAAGJ,EAAEI,CAAC,CAAC,eAAeyzH,KAAI,CAAC,GAAG,CAAC/zH,EAAE,CAAC,EAAE,MAAM,QAAQ,IAAI,CAACya,EAAE,EAAE,SAAS,uBAAuB,EAAEA,EAAE,EAAE,SAAS,8BAA8B,CAAC,CAAC,EAAE,OAAO,IAAI,QAAQ,CAACva,EAAEI,IAAI,CAAC,IAAIC,EAAE,CAAC,EAAEA,EAAE,WAAW,CAAC0B,EAAEC,IAAI,CAAC,GAAGD,EAAE,SAAS,YAAY,EAAE,CAAC,IAAIE,EAAEgxH,IAAG,mBAAmB,QAAQ,MAAM,KAAK,EAAEvwH,EAAE,IAAI,KAAK,CAACT,CAAC,EAAE,CAAC,KAAK,wBAAwB,CAAC,EAAE,OAAO,IAAI,gBAAgBS,CAAC,CAAC,CAAC,OAAOX,EAAE,SAAS,OAAO,EAAE2xH,GAAG5zH,EAAE,EAAEg0H,IAAI,KAAKA,GAAG9xH,CAAC,EAAEA,EAAED,CAAC,EAAEgyH,KAAK1zH,EAAE,gBAAgBozH,IAAIC,GAAG5zH,EAAE,EAAEg0H,IAAI,KAAKA,GAAG,EAAE,CAAC,GAAG,IAAI,EAAE,GAAGzzH,EAAE,QAAQ,IAAI,CAAI,GAAG2zH,KAAUA,GAAG,GAAG5zH,EAAE,CAAC,QAAQ,iMAAiM,CAAC,EAAC,EAAE,IAAI,EAAE,GAAGN,GAAG6zH,IAAI,MAAMtzH,EAAE,oBAAoB,IAAI,KAAK,CAAC,uCAAuC8yH,GAAG,SAAS,CAAC,EAAE,CAAC,KAAK,iBAAiB,CAAC,EAAE,EAAEA,GAAG9yH,CAAC,GAAG,EAAE+yH,IAAI/yH,CAAC,EAAE,EAAE,KAAK0B,GAAG,CAAC,EAAE,GAAGiyH,GAAG,GAAG,IAAIhyH,EAAE,KAAKD,EAAE,KAAK,CAAC,KAAKA,EAAE,MAAM,OAAO,KAAK,CAAC,CAAC,EAAE,qBAAqBA,EAAE,MAAM,0BAA0B,KAAK,CAAC,QAAQ,CAAC,EAAE,gBAAgBA,EAAE,MAAM,oBAAoB,SAAS,CAAC,CAAC,EAAE,eAAeA,EAAE,MAAM,kBAAkB,KAAK,CAAC,SAAS,SAAS,QAAQ,CAAC,EAAE,YAAYA,EAAE,MAAM,eAAeC,EAAE,CAAC,QAAQ,CAAC,EAAE,QAAQD,EAAE,MAAM,UAAUC,EAAE,CAAC,CAAC,CAAC,EAAEhC,EAAE,CAAC,KAAK+B,CAAC,CAAC,CAAC,CAAC,EAAE,MAAM3B,CAAC,CAAC,CAAC,CAAC,CAAC,SAASozH,IAAI1zH,EAAE,EAAE,CAAC,OAAO,EAAE,CAAC,IAAI,UAAU,OAAO,IAAI,aAAaA,CAAC,EAAE,IAAI,QAAQ,OAAO,IAAI,WAAWA,CAAC,EAAE,IAAI,OAAO,OAAO,IAAI,WAAWA,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,iBAAiB,GAAG,CAAC,CAAC,CAAC,IAAIm0H,IAAI,CAAC,yBAAyB,8BAA8B,sCAAsC,EAAEN,GAAG,KAAKG,GAAG,KAAKF,GAAG,CAAC,EAAEI,GAAG,GAAGD,GAAG,GAAG,SAASG,IAAIp0H,EAAE,EAAE,GAAG,CAAC,GAAGozB,GAAG,mGAAmG,EAAE8gG,GAAG,MAAM,IAAI,MAAM,gIAAgI,EAAEL,GAAG7zH,EAAEi0H,GAAG,CAAC,CAAC,SAASI,IAAIr0H,EAAE,EAAE,GAAG,CAAC,GAAGk0H,GAAG,MAAM,IAAI,MAAM,iIAAiI,EAAE,GAAG,OAAOl0H,GAAG,SAASg0H,GAAGh0H,MAAM,CAAC8zH,GAAG9zH,EAAE,IAAIE,EAAEi0H,IAAI,OAAO7zH,GAAGwzH,GAAGxzH,IAAI,IAAI,EAAE,GAAGJ,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,2DAA2DA,EAAE,KAAK,GAAG,gKAAgK,CAAC,CAAC+zH,GAAG,CAAC,CAAC,IAAIT,GAAG,GAAGC,GAAG,GAAG,SAASa,IAAIt0H,EAAE,CAACwzH,GAAGxzH,CAAC,CAAC,SAASu0H,KAAK,CAAC,GAAGd,KAAK,GAAG,MAAM,IAAI,MAAM,+BAA+B,EAAE,OAAOA,EAAE,CAAC,IAAIe,IAAI,QAAYC,IAAI,EAAEtgG,GAAG,OAAO,SAAS,CAAC,GAAG,CAAC,KAAKn0B,CAAC,EAAE,MAAM+zH,IAAG,EAAE,OAAO,IAAIR,GAAGvzH,CAAC,CAAC,EAAEy0H,GAAG,EAAE,IAAIC,IAAI,QAAQC,IAAI,QAAQC,IAAI,QAAQC,IAAI,QAAQC,IAAI,QAAQC,IAAI,QAAQC,IAAI,QAAQC,IAAI,QAAQC,IAAI,CAAC,KAAKR,IAAI,YAAYC,IAAI,YAAYC,IAAI,cAAcC,IAAI,iBAAiBC,IAAI,mBAAmBC,IAAI,qBAAqBC,IAAI,oBAAoBC,GAAG,EChxJ97e,IAAAE,GAAA,GAAAC,GAAAD,GAAA,oBAAAE,GAAA,YAAAC,GAAA,mBAAAC,GAAA,sBAAAC,GAAA,6BAAAC,GAAA,kBAAAC,GAAA,yBAAAC,GAAA,gBAAAC,GAAA,mBAAAC,IAAA,wBAAAC,IAAA,sBAAAC,MCEO,SAASC,GACdC,EACAC,EACAC,EAAW,GACX,CASA,GARAF,EAAI,UAAU,EAEdC,EAAO,MAAM,CAAC,EAAE,QAAQ,CAAC,CAAE,EAAAE,EAAG,EAAAC,CAAE,EAAGC,IAAY,CAC7C,IAAMC,EAAOL,EAAOI,GACpBL,EAAI,OAAOM,EAAK,EAAGA,EAAK,CAAC,EACzBN,EAAI,OAAOG,EAAGC,CAAC,CACjB,CAAC,EAEGF,EAAU,CACZ,IAAMI,EAAOL,EAAOA,EAAO,OAAS,GAC9BM,EAAKN,EAAO,GAClB,GAAI,CAACK,GAAQ,CAACC,EACZ,OAGFP,EAAI,OAAOM,EAAK,EAAGA,EAAK,CAAC,EACzBN,EAAI,OAAOO,EAAG,EAAGA,EAAG,CAAC,CACvB,CAEAP,EAAI,OAAO,CACb,CC3BA,IAAAQ,GAAA,GAAAC,GAAAD,GAAA,+BAAAE,GAAA,mBAAAC,GAAA,iBAAAC,GAAA,WAAAC,GAAA,YAAAC,GAAA,aAAAC,GAAA,eAAAC,IAAA,eAAAC,GAAA,eAAAC,GAAA,eAAAC,GAAA,kBAAAC,GAAA,uBAAAC,GAAA,UAAAC,GAAA,UAAAC,KCOO,IAAMC,GAAN,KAAwC,CAK7C,YAAYC,EAAeC,EAAgB,CACzC,GAAI,CAACC,GAAcF,CAAK,GAAK,CAACE,GAAcD,CAAM,EAChD,MAAM,IAAI,MAAM,wFAAwF,KAAK,UAAU,CAAE,MAAAD,EAAO,OAAAC,CAAO,CAAC,GAAG,EAG7I,KAAK,OAASD,EACd,KAAK,QAAUC,CACjB,CAEA,IAAW,OAAgB,CAAE,OAAO,KAAK,MAAQ,CAEjD,IAAW,QAAiB,CAAE,OAAO,KAAK,OAAS,CAE5C,SAAsB,CAC3B,OAAO,IAAIF,GAAW,EAAI,KAAK,MAAO,EAAI,KAAK,MAAM,CACvD,CACF,EDvBO,SAASI,GAASC,EAAaC,EAAa,CACjD,OAAOD,aAAqBE,IAAUF,EAAO,MAAM,SAAWC,CAChE,CAEO,SAASE,IAAWH,EAAoC,CAC7D,OAAOD,GAASC,EAAQ,CAAC,CAC3B,CAEO,SAASI,GAAWJ,EAAoC,CAC7D,OAAOD,GAASC,EAAQ,CAAC,CAC3B,CAEO,SAASK,GAAWL,EAAoC,CAC7D,OAAOD,GAASC,EAAQ,CAAC,CAC3B,CAEO,SAASM,GAAWN,EAAoC,CAC7D,OAAOD,GAASC,EAAQ,CAAC,CAC3B,CAEO,SAASO,GAAQC,EAAa,CACnC,OAAOA,EAAM,IAAM,CACrB,CAEO,SAASC,GAAOD,EAAa,CAClC,OAAOA,EAAM,IAAM,CACrB,CAEO,SAASE,GAAMF,EAAaG,EAAO,EAAG,CAC3C,IAAMC,EAAI,IAAMD,EAChB,OAAO,KAAK,MAAMH,EAAMI,CAAC,EAAIA,CAC/B,CAEO,SAASC,GAAaC,EAAmB,CAC9C,OAAOA,GAAOA,EAAI,OAASA,EAAI,MACjC,CAEO,SAASC,GAA0B,CAAE,MAAAC,EAAO,OAAAC,CAAO,EAAgBC,EAAmB,CAC3F,IAAMC,EAAQD,EAAY,KAAK,IAAID,EAAQD,CAAK,EAChD,OAAO,IAAII,GAAW,KAAK,MAAMJ,EAAQG,CAAK,EAAG,KAAK,MAAMF,EAASE,CAAK,CAAC,CAC7E,CAEO,SAASE,GAAeC,EAAqB,CAClD,OAAOA,EAAI,OAAO,CAACC,EAAKC,IAAOD,EAAI,IAAIC,CAAE,EAAG,IAAIC,GAAM,EAAG,CAAC,CAAC,EACxD,IAAI,IAAIA,GAAMH,EAAI,OAAQA,EAAI,MAAM,CAAC,CAC1C,CAEO,SAASI,GAAMlB,EAAamB,EAAeC,EAAwB,CACxE,OAAO,MAAMpB,CAAG,EAAE,KAAK,CAAC,EAAE,IAAI,CAACqB,EAAGC,IAAMH,EAASG,EAAIF,CAAK,CAC5D,CAEO,SAASG,GAAcvB,EAAU,CACtC,MAAO,CAAC,CAACA,GAAQA,IAAQ,KAAcA,IAAQ,MAAc,CAAC,OAAO,MAAMA,CAAG,GAAKA,IAAQ,CAC7F,CAEO,SAASwB,GAAmBxB,EAAU,CAC3C,OAAOuB,GAAcvB,CAAG,GAAKA,GAAO,GAAKA,GAAO,CAClD,CEzDO,IAAMyB,GAAN,KAA8B,CAKnC,YAAYC,EAAWC,EAAW,CAChC,KAAK,GAAKD,EACV,KAAK,GAAKC,CACZ,CAEA,IAAI,GAAY,CAAE,OAAO,KAAK,EAAI,CAElC,IAAI,GAAY,CAAE,OAAO,KAAK,EAAI,CAE3B,IAAIC,EAAmB,CAC5B,OAAO,IAAIH,GAAM,KAAK,EAAIG,EAAG,EAAG,KAAK,EAAIA,EAAG,CAAC,CAC/C,CAEO,IAAIA,EAAmB,CAC5B,OAAO,IAAIH,GAAM,KAAK,EAAIG,EAAG,EAAG,KAAK,EAAIA,EAAG,CAAC,CAC/C,CAEO,IAAIA,EAAmB,CAC5B,OAAO,IAAIH,GAAM,KAAK,EAAIG,EAAG,EAAG,KAAK,EAAIA,EAAG,CAAC,CAC/C,CAEO,IAAIA,EAAmB,CAC5B,OAAO,IAAIH,GAAM,KAAK,EAAIG,EAAG,EAAG,KAAK,EAAIA,EAAG,CAAC,CAC/C,CAEO,KAAa,CAClB,OAAO,IAAIH,GAAM,KAAK,IAAI,KAAK,CAAC,EAAG,KAAK,IAAI,KAAK,CAAC,CAAC,CACrD,CAEO,WAAoB,CACzB,OAAO,KAAK,KAAM,KAAK,GAAK,EAAM,KAAK,GAAK,CAAE,CAChD,CAEO,OAAe,CACpB,OAAO,IAAIA,GAAM,KAAK,MAAM,KAAK,CAAC,EAAG,KAAK,MAAM,KAAK,CAAC,CAAC,CACzD,CACF,ECxCO,IAAMI,GAAN,KAAwD,CAC7D,OAAc,OAAOC,EAAoB,CACvC,MAAO,CAAC,CAACA,GAAQ,CAACA,EAAK,EAAGA,EAAK,EAAGA,EAAK,MAAOA,EAAK,MAAM,EAAE,MAAMC,EAAa,CAChF,CAEA,OAAc,iBAAiBC,EAAUC,EAAgBC,EAA0B,GAAO,CACxF,GAAI,CAACL,GAAI,OAAOG,CAAG,EACjB,MAAM,IAAI,MAAM,GAAGC,oBAAyB,KAAK,UAAUD,CAAG,wDAAwD,EAGxH,GAAI,CAACE,IAA4BF,EAAI,MAAQ,GAAKA,EAAI,OAAS,GAC7D,MAAM,IAAI,MAAM,GAAGC,cAAmBD,EAAI,sBAAsBA,EAAI,kCAAkC,CAE1G,CAUA,YAAYG,EAA4BD,EAA0B,GAAM,CACtE,IAAMF,EAAOG,GAAQ,CAAC,EAEhBC,EAAS,CAACJ,EAAI,KAAMA,EAAI,IAAKA,EAAI,MAAOA,EAAI,MAAM,EAAE,MAAMD,EAAa,EACvEM,EAAS,CAACL,EAAI,EAAGA,EAAI,EAAGA,EAAI,MAAOA,EAAI,MAAM,EAAE,MAAMD,EAAa,EAExE,GAAI,CAACM,GAAU,CAACD,EACd,MAAM,IAAI,MAAM,2EAA2E,KAAK,UAAUJ,CAAG,GAAG,EAGlH,GAAM,CAACM,EAAGC,EAAGC,EAAOC,CAAM,EAAIJ,EAC1B,CAACL,EAAI,EAAGA,EAAI,EAAGA,EAAI,MAAOA,EAAI,MAAM,EACpC,CAACA,EAAI,KAAMA,EAAI,IAAKA,EAAI,MAAQA,EAAI,KAAMA,EAAI,OAASA,EAAI,GAAG,EAElEH,GAAI,iBAAiB,CACnB,EAAAS,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CACf,EAAG,kBAAmBP,CAAuB,EAE7C,KAAK,GAAKI,EACV,KAAK,GAAKC,EACV,KAAK,OAASC,EACd,KAAK,QAAUC,CACjB,CAEA,IAAW,GAAY,CAAE,OAAO,KAAK,EAAI,CAEzC,IAAW,GAAY,CAAE,OAAO,KAAK,EAAI,CAEzC,IAAW,OAAgB,CAAE,OAAO,KAAK,MAAQ,CAEjD,IAAW,QAAiB,CAAE,OAAO,KAAK,OAAS,CAEnD,IAAW,MAAe,CAAE,OAAO,KAAK,CAAG,CAE3C,IAAW,KAAc,CAAE,OAAO,KAAK,CAAG,CAE1C,IAAW,OAAgB,CAAE,OAAO,KAAK,EAAI,KAAK,KAAO,CAEzD,IAAW,QAAiB,CAAE,OAAO,KAAK,EAAI,KAAK,MAAQ,CAE3D,IAAW,MAAe,CAAE,OAAO,KAAK,MAAQ,KAAK,MAAQ,CAE7D,IAAW,SAAiB,CAAE,OAAO,IAAIC,GAAM,KAAK,KAAM,KAAK,GAAG,CAAG,CAErE,IAAW,UAAkB,CAAE,OAAO,IAAIA,GAAM,KAAK,MAAO,KAAK,GAAG,CAAG,CAEvE,IAAW,YAAoB,CAAE,OAAO,IAAIA,GAAM,KAAK,KAAM,KAAK,MAAM,CAAG,CAE3E,IAAW,aAAqB,CAAE,OAAO,IAAIA,GAAM,KAAK,MAAO,KAAK,MAAM,CAAG,CAEtE,OAAsB,CAC3B,GAAM,CAACJ,EAAGC,EAAGC,EAAOC,CAAM,EAAI,CAAC,KAAK,EAAG,KAAK,EAAG,KAAK,MAAO,KAAK,MAAM,EACnE,IAAKE,GAAQ,KAAK,MAAMA,CAAG,CAAC,EAC/B,OAAO,IAAId,GAAI,CACb,EAAAS,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CACf,CAAC,CACH,CAEO,OAAsB,CAC3B,GAAM,CAACH,EAAGC,EAAGC,EAAOC,CAAM,EAAI,CAAC,KAAK,EAAG,KAAK,EAAG,KAAK,MAAO,KAAK,MAAM,EACnE,IAAKE,GAAQ,KAAK,MAAMA,CAAG,CAAC,EAC/B,OAAO,IAAId,GAAI,CACb,EAAAS,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CACf,CAAC,CACH,CAEO,UAAyB,CAC9B,GAAI,CACF,EAAAH,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CACf,EAAI,KACEG,EAAO,KAAK,IAAIJ,EAAQC,CAAM,EACpC,OAAID,EAAQC,IACVH,GAAMM,EAAO,EACbJ,GAASI,GAEPH,EAASD,IACXD,GAAMK,EAAO,EACbH,GAAUG,GAGL,IAAIf,GAAI,CAAE,EAAAS,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CAAO,CAAC,CACxC,CAEO,QAAQI,EAAuC,CACpD,IAAMC,EAASC,GAAaF,CAAC,EAAKA,EAAkB,MAAQA,EACtDG,EAASD,GAAaF,CAAC,EAAKA,EAAkB,OAASA,EAC7D,OAAO,IAAIhB,GAAI,CACb,EAAG,KAAK,EAAIiB,EACZ,EAAG,KAAK,EAAIE,EACZ,MAAO,KAAK,MAAQF,EACpB,OAAQ,KAAK,OAASE,CACxB,CAAC,CACH,CAEO,IAAIC,EAAcC,EAA4B,CACnD,GAAM,CAACZ,EAAGC,EAAGC,EAAOC,CAAM,EAAI,CAC5B,KAAK,EAAKQ,EAAO,EACjB,KAAK,EAAKC,EAAO,EACjB,KAAK,MAAQD,EACb,KAAK,OAASC,CAChB,EACA,OAAO,IAAIrB,GAAI,CAAE,EAAAS,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CAAO,CAAC,CACxC,CAEO,mBAAmBU,EAAkBC,EAAiC,CAC3E,GAAM,CAAE,EAAAd,EAAG,EAAAC,EAAG,MAAAc,EAAO,OAAAC,CAAO,EAAI,KAC1BC,EAAW,KAAK,IAAIjB,EAAG,CAAC,EACxBkB,EAAW,KAAK,IAAIjB,EAAG,CAAC,EAExBkB,EAAWJ,EAAQE,EACnBG,EAAYJ,EAASE,EACrBG,EAAe,KAAK,IAAIF,EAAUN,EAAWI,CAAQ,EACrDK,EAAgB,KAAK,IAAIF,EAAWN,EAAYI,CAAQ,EAE9D,OAAQ,IAAI3B,GAAI,CAAE,EAAG0B,EAAU,EAAGC,EAAU,MAAOG,EAAc,OAAQC,CAAc,CAAC,EAAG,MAAM,CACnG,CAEO,MAAMC,EAAYC,EAA0B,CACjD,GAAM,CAAE,MAAAtB,EAAO,OAAAC,CAAO,EAAI,KACpBH,EAAI,KAAK,EAAIuB,EACbtB,EAAI,KAAK,EAAIuB,EAEnB,OAAO,IAAIjC,GAAI,CAAE,EAAAS,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CAAO,CAAC,CACxC,CAEO,aAAasB,EAAqBC,EAAoB,CAC3D,IAAMC,EAAI,KAAK,MAAQ,EACjBC,EAAI,KAAK,OAAS,EAElBC,EAAK,EACLC,EAAK,EACPC,EAAMJ,EACNK,EAAMJ,EAEN5B,EAAI,KAAK,KACTC,EAAI,KAAK,IACTgC,EAAK,KAAK,MACVC,EAAK,KAAK,OAEd,OAAID,EAAKP,IACPK,EAAM,CAACE,EAAKP,EAAaC,EACzBM,EAAKP,GAEHQ,EAAKT,IACPO,EAAM,CAACE,EAAKT,EAAcG,EAC1BM,EAAKT,GAEHzB,EAAI,IACNgC,EAAM,EAAIhC,EACVA,EAAI,GAEFC,EAAI,IACN+B,EAAM,EAAI/B,EACVA,EAAI,GAGC,CAAE,GAAA6B,EAAI,IAAAE,EAAK,GAAAH,EAAI,IAAAE,EAAK,EAAA9B,EAAG,GAAAiC,EAAI,EAAAlC,EAAG,GAAAiC,EAAI,EAAAN,EAAG,EAAAC,CAAE,CAChD,CAEO,UAAUO,EAAa,CAC5B,OAAO,IAAI5C,GAAI,CACb,KAAM,KAAK,KAAQ4C,EAAO,KAAO,KAAK,MACtC,IAAK,KAAK,IAAOA,EAAO,IAAM,KAAK,OACnC,MAAO,KAAK,MAASA,EAAO,MAAQ,KAAK,MACzC,OAAQ,KAAK,OAAUA,EAAO,OAAS,KAAK,MAC9C,CAAC,EAAE,SAAS,EAAE,MAAM,CACtB,CACF,EC3LO,IAAMC,GAAN,cAA0BC,EAA4B,CAC3D,YAAYC,EAAcC,EAAaC,EAAeC,EAAgBC,EAA0B,GAAO,CACrG,MAAM,CAAE,KAAAJ,EAAM,IAAAC,EAAK,MAAAC,EAAO,OAAAC,CAAO,EAAGC,CAAuB,CAC7D,CACF,ECTO,IAAMC,GAAN,KAAsB,CAW3B,YACEC,EACAC,EACAC,EACAC,EACAC,EACA,CACA,KAAK,WAAa,IAAIC,GAAWD,EAAU,MAAOA,EAAU,MAAM,EAClE,KAAK,OAASJ,EACd,KAAK,YAAcC,EACnB,KAAK,WAAaC,EAClB,KAAK,KAAO,IAAII,GAAIH,CAAW,EAAE,QAAQ,KAAK,UAAU,CAC1D,CAEA,IAAW,OAAgB,CAAE,OAAO,KAAK,MAAQ,CAEjD,IAAW,YAAqB,CAAE,OAAO,KAAK,WAAa,CAE3D,IAAW,WAAoB,CAAE,OAAO,KAAK,UAAY,CAEzD,IAAW,KAAW,CAAE,OAAO,KAAK,IAAM,CAE1C,IAAW,WAAwB,CAAE,OAAO,KAAK,UAAY,CAE7D,IAAW,YAAqB,CAAE,OAAO,KAAK,UAAU,KAAO,CAE/D,IAAW,aAAsB,CAAE,OAAO,KAAK,UAAU,MAAQ,CAEjE,IAAW,aAAmB,CAAE,OAAO,IAAIG,GAAI,KAAK,IAAI,EAAE,QAAQ,KAAK,UAAU,QAAQ,CAAC,CAAG,CAEtF,QAAQC,EAAeC,EAAiC,CAC7D,OAAO,IAAIT,GACT,KAAK,MACL,KAAK,WACL,KAAK,UACL,KAAK,YACL,CAAE,MAAAQ,EAAO,OAAAC,CAAO,CAClB,CACF,CACF,EC5CO,IAAMC,GAAN,cAA4BC,EAAyC,CAC1E,YACEC,EACAC,EACAC,EACA,CACA,MAAMF,EAAOA,EAAO,GAAIC,EAAaC,CAAS,CAChD,CAEgB,QAAQC,EAAeC,EAA+B,CACpE,GAAM,CAAE,MAAAJ,EAAO,YAAAC,EAAa,UAAAC,CAAU,EAAI,MAAM,QAAQC,EAAOC,CAAM,EACrE,OAAO,IAAIN,GAAcE,EAAOC,EAAaC,CAAS,CACxD,CACF,ECrBO,SAASG,GAAIC,EAAWC,EAAWC,EAAQ,GAAM,CACtD,IAAMC,EAAQ,KAAK,IAAI,EAAK,KAAK,IAAIH,EAAK,MAAOC,EAAK,KAAK,EAAI,KAAK,IAAID,EAAK,KAAMC,EAAK,IAAI,CAAC,EACvFG,EAAS,KAAK,IAAI,EAAK,KAAK,IAAIJ,EAAK,OAAQC,EAAK,MAAM,EAAI,KAAK,IAAID,EAAK,IAAKC,EAAK,GAAG,CAAC,EACxFI,EAAeF,EAAQC,EAE7B,OAAOF,EACHG,GAAgBL,EAAK,KAAOC,EAAK,KAAOI,GACxCA,EAAe,KAAK,IAAIL,EAAK,KAAMC,EAAK,IAAI,CAClD,CCRO,SAASK,GAAQC,EAA4B,CAClD,IAAMC,EAAKD,EAAI,IAAKE,GAAOA,EAAG,CAAC,EACzBC,EAAKH,EAAI,IAAKE,GAAOA,EAAG,CAAC,EACzBE,EAAOH,EAAG,OAAO,CAACI,EAAKC,IAAOA,EAAID,EAAMC,EAAID,EAAM,GAAQ,EAC1DE,EAAOJ,EAAG,OAAO,CAACE,EAAKG,IAAOA,EAAIH,EAAMG,EAAIH,EAAM,GAAQ,EAC1DI,EAAOR,EAAG,OAAO,CAACS,EAAKJ,IAAOI,EAAMJ,EAAIA,EAAII,EAAM,CAAC,EACnDC,EAAOR,EAAG,OAAO,CAACO,EAAKF,IAAOE,EAAMF,EAAIA,EAAIE,EAAM,CAAC,EAEzD,OAAO,IAAIE,GAAYR,EAAMG,EAAME,EAAME,CAAI,CAC/C,CCRO,SAASE,GACdC,EACAC,EACAC,EACAC,EAAQ,GACE,CACV,IAAIC,EAAuBH,EACxB,IAAI,CAACI,EAAOC,KAAc,CAAE,MAAAD,EAAO,SAAAC,CAAS,EAAE,EAC9C,KAAK,CAACC,EAAIC,IAAOD,EAAG,MAAQC,EAAG,KAAK,EACpC,IAAKC,GAAMA,EAAE,QAAQ,EAElBC,EAAiB,CAAC,EAExB,KAAON,EAAqB,OAAS,GAAG,CACtC,IAAMO,EAAOP,EAAqB,IAAI,EACtCM,EAAK,KAAKC,CAAI,EAEd,IAAMC,EAAUR,EAEVS,EAAoB,CAAC,EAC3B,QAASC,EAAI,EAAGA,EAAIF,EAAQ,OAAQE,IAAK,CACvC,IAAMC,EAAMH,EAAQE,GAEdE,EAAUhB,EAAMW,GAChBM,EAASjB,EAAMe,GAErBF,EAAQ,KAAKK,GAAIF,EAASC,EAAQd,CAAK,CAAC,CAC1C,CAEAC,EAAuBA,EAAqB,OAC1C,CAACe,EAAGC,IAAMP,EAAQO,IAAMlB,CAC1B,CACF,CAEA,OAAOQ,CACT,CCpCO,SAASW,GAAUC,EAAgBC,EAAgC,CACxE,OAAUC,EAAK,IAAM,CACnB,GAAM,CAACC,EAAGC,EAAGC,CAAC,EAAIJ,EACZK,EAAWC,GAAK,CAAC,GAAGP,EAAE,MAAM,MAAM,EAAG,CAAC,EAAG,CAAC,EAAGG,EAAG,SAAS,EACzDK,EAAWD,GAAK,CAAC,GAAGP,EAAE,MAAM,MAAM,EAAG,CAAC,EAAG,CAAC,EAAGI,EAAG,SAAS,EACzDK,EAAWF,GAAK,CAAC,GAAGP,EAAE,MAAM,MAAM,EAAG,CAAC,EAAG,CAAC,EAAGK,EAAG,SAAS,EACzDK,EAAaC,GAAO,CAACL,EAAOE,EAAOC,CAAK,EAAG,CAAC,EAElD,OAAUG,GAAIZ,EAAGU,CAAO,CAC1B,CAAC,CACH,CCFO,SAASG,GAAYC,EAAwBC,EAAgB,GAAoB,CACtF,OAAUC,EAAK,IAAM,CACnB,GAAM,CAACC,EAAQC,CAAK,EAAIJ,EAAU,MAAM,MAAM,CAAC,EAC/C,GAAIG,IAAWC,EAAO,OAAOJ,EAC7B,IAAMK,EAAU,KAAK,IAAIF,EAASC,CAAK,EACjCE,EAAgB,KAAK,MAAMD,GAAWJ,EAAgB,GAAM,EAAE,EAC9DM,EAAcJ,EAASC,EAAQ,EAAI,EACnCI,EAAuBC,GAA0C,CACrE,IAAMC,EAAqBV,EAAU,MAAM,MAAM,EACjD,OAAAU,EAAmBH,GAAeE,EACxBE,GAAKD,EAAoB,EAAG,SAAS,CACjD,EACME,EAAsBJ,EAAoBF,CAAa,EACvDO,EAAyBR,EAAWO,EAAoB,MAAML,GAE9DO,EAAiB,CADMb,GAAiBY,EAAyBL,EAAoBK,CAAsB,EAAI,KACvEb,EAAWY,CAAmB,EACzE,OAAQG,GAAM,CAAC,CAACA,CAAC,EACjB,IAAKA,GAASC,GAAKD,EAAkB,SAAS,CAAC,EAClD,OAAUE,GAAOH,EAAgBP,CAAW,CAC9C,CAAC,CACH,CC9BO,SAASW,IAAaC,EAAmB,CAC9C,IAAMC,EAAQD,EAAW,MAAM,EAC/B,QAASE,EAAID,EAAM,OAAS,EAAGC,EAAI,EAAGA,IAAK,CACzC,IAAMC,EAAI,KAAK,MAAM,KAAK,OAAO,GAAKD,EAAI,EAAE,EACtCE,EAAIH,EAAMC,GAChBD,EAAMC,GAAKD,EAAME,GACjBF,EAAME,GAAKC,CACb,CACA,OAAOH,CACT,CCFO,SAASI,GAAQC,EAAW,CACjC,MAAO,IAAK,EAAI,KAAK,IAAI,CAACA,CAAC,EAC7B,CAEO,SAASC,IAAeD,EAAW,CACxC,OAAO,KAAK,IAAIA,GAAK,EAAIA,EAAE,CAC7B,CCJO,IAAME,GAAN,cAAmBC,EAAqB,CAC7C,YAAYC,EAAWC,EAAWC,EAAeC,EAAgBC,EAA0B,GAAO,CAChG,MAAM,CAAE,EAAAJ,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CAAO,EAAGC,CAAuB,CACxD,CACF,ECHA,IAAMC,IAAO,GACPC,IAAO,IACPC,IAAW,IAOJC,GAAN,KAA8C,CAOnD,YACEC,EACAC,EACAC,EAAe,IAAIC,GAAM,EAAG,CAAC,EAC7B,CACA,GAAM,CAAE,MAAAC,EAAO,OAAAC,CAAO,EAAIJ,EAC1B,KAAK,SAAW,IAAIK,GAAWF,EAAOC,CAAM,EAC5C,KAAK,OAASH,EACd,KAAK,WAAaF,EAA8B,IAC7CO,GAAOA,EAAG,IAAI,IAAIJ,GAAMC,EAAOC,CAAM,CAAC,EAAE,IAAIH,CAAK,CACpD,CACF,CAEA,IAAW,OAAe,CAAE,OAAO,IAAIC,GAAM,KAAK,OAAO,EAAG,KAAK,OAAO,CAAC,CAAG,CAE5E,IAAW,YAAqB,CAAE,OAAO,KAAK,SAAS,KAAO,CAE9D,IAAW,aAAsB,CAAE,OAAO,KAAK,SAAS,MAAQ,CAEhE,IAAW,WAAqB,CAAE,OAAO,KAAK,UAAY,CAE1D,IAAW,mBAA6B,CACtC,OAAO,KAAK,WAAW,IACpBI,GAAOA,EAAG,IAAI,KAAK,MAAM,EAAE,IAAI,IAAIJ,GAAM,KAAK,WAAY,KAAK,WAAW,CAAC,CAC9E,CACF,CAEO,QAAiCC,EAAeC,EAAmB,CACxE,OAAO,IAAK,KAAK,YACf,KAAK,kBACL,CAAE,MAAAD,EAAO,OAAAC,CAAO,CAClB,CACF,CAEO,QAAiCG,EAAWC,EAAc,CAC/D,OAAO,IAAK,KAAK,YACf,KAAK,kBACL,KAAK,SACL,IAAIN,GAAMK,EAAGC,CAAC,CAChB,CACF,CAEO,aAAsCF,EAAc,CACzD,OAAO,KAAK,QAAQA,EAAG,EAAGA,EAAG,CAAC,CAChC,CAaO,MACLG,EACAC,EAAkE,CAAE,EAC/D,CACL,GAAID,EAAW,CACb,IAAME,EAAMF,aAAqBG,GAC7BH,EAAU,IAAI,MAAM,EACpB,IAAII,GAAIJ,CAAS,EAErB,OAAO,KAAK,QAAQE,EAAI,EAAGA,EAAI,CAAC,EAAE,MAAM,KAAMD,CAAO,CACvD,CAEA,GAAM,CAAE,iBAAAI,EAAkB,cAAAC,CAAc,EAAI,CAAE,iBAAkB,GAAO,cAAe,GAAK,GAAGL,CAAQ,EAEtG,OAAII,EACK,KAAK,UAAU,EAGjB,KAAK,aAAaC,CAAa,CACxC,CAEQ,WAAiB,CACvB,IAAMC,EAAU,KAAK,yBAAyB,EAExC,CAACC,EAAeC,EAAgBC,CAAW,EAAIH,EAC/CI,EAAed,GAAca,EAAY,IAAIb,CAAE,EAAE,UAAU,EAC3De,GAAkBD,EAAYH,CAAa,EAAIG,EAAYF,CAAc,GAAK,EAE9EI,EAAO,KAAK,MAAMD,EAAiBxB,GAAQ,EAE3C0B,EAAWC,GAAeR,CAAO,EAEjCT,EAAI,KAAK,MAAM,KAAK,IAAI,EAAGgB,EAAS,EAAK5B,IAAO2B,CAAK,CAAC,EACtDd,EAAI,KAAK,MAAM,KAAK,IAAI,EAAGe,EAAS,EAAK3B,IAAO0B,CAAK,CAAC,EAE5D,OAAO,IAAIG,GAAKlB,EAAGC,EAAG,KAAK,IAAIc,EAAM,KAAK,WAAaf,CAAC,EAAG,KAAK,IAAIe,EAAM,KAAK,YAAcd,CAAC,CAAC,CACjG,CAEQ,aAAakB,EAAsB,CACzC,IAAMf,EAAMgB,GAAQ,KAAK,SAAS,EAClC,OAAOhB,EAAI,IAAIA,EAAI,MAAQe,EAASf,EAAI,OAASe,CAAO,CAC1D,CAEU,0BAAoC,CAC5C,MAAM,IAAI,MAAM,wDAAwD,CAC1E,CACF,EC7HO,IAAME,GAAN,cAA6BC,EAAc,CAC7B,0BAAoC,CACrD,IAAMC,EAAM,KAAK,UACjB,MAAO,CACLA,EAAI,GACJA,EAAI,GACJC,GAAe,CAACD,EAAI,GAAIA,EAAI,EAAE,CAAC,CACjC,CACF,CACF,ECTO,IAAME,GAAN,cAA8BC,EAAc,CAC1C,eAAyB,CAC9B,OAAO,KAAK,UAAU,MAAM,EAAG,EAAE,CACnC,CAEO,gBAA0B,CAC/B,OAAO,KAAK,UAAU,MAAM,GAAI,EAAE,CACpC,CAEO,iBAA2B,CAChC,OAAO,KAAK,UAAU,MAAM,GAAI,EAAE,CACpC,CAEO,SAAmB,CACxB,OAAO,KAAK,UAAU,MAAM,GAAI,EAAE,CACpC,CAEO,YAAsB,CAC3B,OAAO,KAAK,UAAU,MAAM,GAAI,EAAE,CACpC,CAEO,aAAuB,CAC5B,OAAO,KAAK,UAAU,MAAM,GAAI,EAAE,CACpC,CAEO,UAAoB,CACzB,OAAO,KAAK,UAAU,MAAM,GAAI,EAAE,CACpC,CAEmB,0BAAoC,CACrD,MAAO,CACL,KAAK,WAAW,EAChB,KAAK,YAAY,EACjB,KAAK,SAAS,CAChB,EAAE,IAAIC,EAAc,CACtB,CACF,ECjCO,IAAMC,GAAN,KAAsC,CAI3C,YAAYC,EAAeC,EAAkB,CAC3C,KAAK,OAASD,EACd,KAAK,UAAYC,CACnB,CAEA,IAAW,OAAgB,CAAE,OAAO,KAAK,MAAQ,CAEjD,IAAW,UAAmB,CAAE,OAAO,KAAK,SAAW,CAEhD,SAASC,EAAe,GAAc,CAC3C,MAAO,GAAG,KAAK,QAAQA,EAAe,KAAKC,GAAM,KAAK,QAAQ,KAAO,IACvE,CACF,EClBO,IAAMC,GAAN,cAAyBC,EAAI,CAUlC,YAAYC,EAAiCC,EAAe,CAC1D,MAAMD,CAAG,EACT,KAAK,OAASC,CAChB,CAZA,OAAc,wBAAwBD,EAAUE,EAAgB,CAE9D,GADAH,GAAI,iBAAiBC,EAAKE,CAAM,EAC5B,CAACC,GAAcH,EAAI,KAAK,EAC1B,MAAM,IAAI,MAAM,GAAGE,gCAAqCF,EAAI,uBAAuB,CAEvF,CASA,IAAW,OAAgB,CAAE,OAAO,KAAK,MAAQ,CACnD,ECrBO,IAAMI,GAAN,KAA6B,CAKlC,YAAYC,EAAeC,EAA6B,CACtD,GAAM,OAAOD,GAAU,SACrB,MAAM,IAAI,MAAM,oEAAoE,EAGtF,GAAI,CAAC,MAAM,QAAQC,CAAW,GAAKA,EAAY,KAAMC,GAAS,EAAEA,aAAgB,aAAa,EAC3F,MAAM,IAAI,MAAM,0FAA0F,EAG5G,KAAK,OAASF,EACd,KAAK,aAAeC,CACtB,CAEA,IAAW,OAAgB,CAAE,OAAO,KAAK,MAAQ,CAEjD,IAAW,aAA8B,CAAE,OAAO,KAAK,YAAc,CAE9D,QAAc,CACnB,MAAO,CACL,MAAO,KAAK,MACZ,YAAa,KAAK,YAAY,IAAKE,GAAM,MAAM,KAAKA,CAAC,CAAC,CACxD,CACF,CAEA,OAAc,SAASC,EAAmC,CACxD,IAAMH,EAAcG,EAAK,YAAY,IAAKD,GAAW,IAAI,aAAaA,CAAC,CAAC,EACxE,OAAO,IAAIJ,GAAuBK,EAAK,MAAOH,CAAW,CAC3D,CACF,EC5BO,IAAMI,GAAN,cAA2BC,EAAW,CAgB3C,YAAYC,EAAiCC,EAAeC,EAAeC,EAAoB,CAC7F,MAAMH,EAAKC,CAAK,EAChB,KAAK,OAASC,EACd,KAAK,YAAcC,CACrB,CAnBA,OAAc,0BAA0BH,EAAUI,EAAgB,CAGhE,GAFAL,GAAW,wBAAwBC,EAAKI,CAAM,EAG5C,CAACC,GAAmBL,EAAI,KAAK,GAC1B,CAACK,GAAmBL,EAAI,UAAU,EAErC,MAAM,IAAI,MAAM,GAAGI,kCAAuCJ,EAAI,eAAeA,EAAI,2CAA2C,CAEhI,CAYA,IAAW,OAAgB,CAAE,OAAO,KAAK,MAAQ,CAEjD,IAAW,YAAqB,CAAE,OAAO,KAAK,WAAa,CAC7D,ECxBO,SAASM,GAAoBC,EAAwC,CAC1E,OAAOA,EAAI,qBAAqBC,EAClC,CAEO,SAASC,GAAiCC,EAAoBC,EAAsD,CAEzH,MAAO,CAAE,GAAGD,EAAW,GADL,CAAE,UAAAC,CAAU,CACM,CACtC,CCXO,SAASC,IAAgC,CAC9C,IAAMC,EAAQ,OAAO,MACrB,GAAI,CAACA,EAAO,MAAM,IAAI,MAAM,8DAA8D,EAM1F,MAAO,CACL,OAAQ,kBACR,yBACA,MAAO,iBACP,UACA,MAAO,iBACP,oBAAqB,IAAM,SAAS,cAAc,QAAQ,EAC1D,mBAAoB,IAAM,SAAS,cAAc,KAAK,EACtD,mBAAoB,IAAM,SAAS,cAAc,OAAO,EACxD,MAAAA,EACA,SAde,IAAM,CACrB,MAAM,IAAI,MAAM,6DAA6D,CAC/E,CAaA,CACF,CCtBO,SAASC,IAAoB,CAClC,OAAO,OAAO,QAAW,UACpB,OAAO,SAAY,aACnB,QAAQ,UAAY,MACpB,QAAQ,SAAS,MAAQ,IAChC,CCFO,SAASC,GAAiBC,EAAsB,CACrD,IAAIC,EAAiB,GACrB,GAAI,CAACD,GAAME,GAAS,EAClB,GAAI,CAEFF,EAAK,GAAQ,KACf,OAASG,EAAP,CACAF,EAAkBE,EAAY,SAAS,CACzC,CAMF,MAAO,CAAE,SAHQH,EACZI,GAAqB,IAAI,QAAQ,CAACC,EAASC,IAAW,CAAEN,EAAG,SAASI,EAAU,CAACD,EAAUI,IAAYJ,EAAMG,EAAOH,CAAG,EAAIE,EAAQE,CAAM,CAAE,CAAG,CAAC,EAC9I,IAAM,CAAE,MAAM,IAAI,MAAM,qEAAqEN,GAAgB,CAAG,CAClG,CACpB,CCdO,SAASO,IAA+B,CAE7C,IAAMC,EAAS,OAAO,QAAa,OAAO,kBACpCC,EAAQ,OAAO,OAAS,OAAO,iBAE/BC,EAAQ,OAAO,OAAY,OAAO,iBAElCC,EAAsB,IAAM,CAChC,GAAIH,EAAQ,OAAO,IAAIA,EACvB,MAAM,IAAI,MAAM,4EAA4E,CAC9F,EAEMI,EAAqB,IAAM,CAC/B,GAAIH,EAAO,OAAO,IAAIA,EACtB,MAAM,IAAI,MAAM,0EAA0E,CAC5F,EAEMI,EAAqB,IAAM,CAC/B,GAAIH,EAAO,OAAO,IAAIA,EACtB,MAAM,IAAI,MAAM,0EAA0E,CAC5F,EAEMI,EAAQ,OAAO,MAGfC,EAAaC,GAAiB,EAEpC,MAAO,CACL,OAAQR,GAAU,KAAM,CAAC,EACzB,yBAA0B,OAAO,0BAA4B,KAAM,CAAC,EACpE,MAAOC,GAAS,KAAM,CAAC,EACvB,UAAW,OAAO,WAAa,KAAM,CAAC,EACtC,MAAO,OAAO,kBAAoB,KAAM,CAAC,EACzC,oBAAAE,EACA,mBAAAC,EACA,mBAAAC,EACA,MAAAC,EACA,GAAGC,CACL,CACF,CC3CO,SAASE,IAAqB,CACnC,OAAO,OAAO,QAAW,UACpB,OAAO,UAAa,aACpB,OAAO,kBAAqB,aAC5B,OAAO,mBAAsB,aAC7B,OAAO,kBAAqB,aAC5B,OAAO,WAAc,aACrB,OAAO,0BAA6B,WAC3C,CCDA,IAAIC,GAEJ,SAASC,KAAsB,CAC7B,GAAI,CAACD,GACH,MAAM,IAAI,MAAM,uEAAuE,EAEzF,OAAOA,EACT,CAEA,SAASE,GAAOC,EAAkB,CAChCH,GAAcG,CAChB,CAEA,SAASC,IAAa,CAGpB,OAAIC,GAAU,EAAUH,GAAOI,GAAiB,CAAC,EAC7CC,GAAS,EAAUL,GAAOM,GAAgB,CAAC,EACxC,IACT,CAEA,SAASC,IAAYN,EAA2B,CAK9C,GAJKH,IACHI,GAAW,EAGT,CAACJ,GACH,MAAM,IAAI,MAAM,4EAA4E,EAG9F,GAAM,CAAE,OAAAU,EAASV,GAAY,OAAQ,MAAAW,EAAQX,GAAY,KAAM,EAAIG,EACnEH,GAAY,OAASU,EACrBV,GAAY,MAAQW,EACpBX,GAAY,oBAAsBG,EAAI,sBAAwB,IAAM,IAAIO,GACxEV,GAAY,mBAAqBG,EAAI,qBAAuB,IAAM,IAAIQ,GAEtEX,GAAY,UAAYG,EAAI,WAAaH,GAAY,UACrDA,GAAY,MAAQG,EAAI,OAASH,GAAY,MAC7CA,GAAY,MAAQG,EAAI,OAASH,GAAY,MAC7CA,GAAY,SAAWG,EAAI,UAAYH,GAAY,QACrD,CAEO,IAAMG,GAAM,CACjB,OAAAF,IACA,OAAAC,GACA,WAAAE,GACA,iBAAAE,GACA,iBAAAM,GACA,gBAAAJ,GACA,YAAAC,IACA,UAAAJ,GACA,SAAAE,EACF,EAEAH,GAAW,EC3DJ,SAASS,GAAaC,EAAmB,CAC9C,MAAI,CAACC,GAAI,SAAS,GAAK,OAAOD,GAAQ,SAC7B,SAAS,eAAeA,CAAG,EAE7BA,CACT,CCJO,SAASE,GAAoBC,EAA4F,CAC9H,GAAM,CAAE,OAAAC,EAAQ,yBAAAC,CAAyB,EAAIC,GAAI,OAAO,EAExD,GAAIH,aAAqBE,EACvB,OAAOF,EAGT,IAAMI,EAASC,GAAaL,CAAS,EAErC,GAAI,EAAEI,aAAkBH,GACtB,MAAM,IAAI,MAAM,gEAAgE,EAGlF,IAAMK,EAAMF,EAAO,WAAW,IAAI,EAClC,GAAI,CAACE,EACH,MAAM,IAAI,MAAM,8CAA8C,EAGhE,OAAOA,CACT,CChBO,IAAKC,QAEVA,EAAA,SAAW,WAEXA,EAAA,UAAY,YAEZA,EAAA,YAAc,cAEdA,EAAA,aAAe,eARLA,QAAA,IAoBCC,GAAN,KAA4D,CAajE,YAAYC,EAAiC,CAAC,EAAG,CAC/C,GAAM,CACJ,eAAAC,EAAgB,gBAAAC,EAAiB,UAAAC,EAAW,SAAAC,EAAU,UAAAC,EAAW,QAAAC,CACnE,EAAIN,EACJ,KAAK,eAAiBC,GAAkB,WACxC,KAAK,gBAAkBC,GAAmB,qBAC1C,KAAK,UAAYC,GAAa,yBAC9B,KAAK,SAAWC,GAAY,GAC5B,KAAK,UAAYC,GAAa,UAC9B,KAAK,QAAUC,GAAW,CAC5B,CACF,EAEaC,GAAN,KAAoB,CAOzB,YACEC,EACAC,EACAT,EAAiC,CAAC,EAClC,CAEA,KAAK,KAAO,OAAOQ,GAAS,SACxB,CAACA,CAAI,EACJA,aAAgBD,GAAgBC,EAAK,KAAOA,EACjD,KAAK,OAASC,EACd,KAAK,QAAU,IAAIV,GAAqBC,CAAO,CACjD,CAEA,aAAaU,EAAuC,CAClD,GAAM,CAAE,QAAAJ,CAAQ,EAAI,KAAK,QACzB,OAAO,KAAK,KAAK,IAAKK,GAAMD,EAAI,YAAYC,CAAC,EAAE,KAAK,EAAE,OAAO,CAACC,EAAIC,IAAQD,EAAKC,EAAKA,EAAKD,EAAK,CAAC,EAAK,EAAIN,CAC1G,CAEA,eAAwB,CACtB,GAAM,CAAE,SAAAF,EAAU,QAAAE,CAAQ,EAAI,KAAK,QACnC,OAAO,KAAK,KAAK,OAASF,EAAY,EAAIE,CAC5C,CAEA,aAAaI,EAA+BI,EAAkC,CAC5E,GAAM,CAAE,eAAAb,CAAe,EAAI,KAAK,QAC1Bc,EAAcd,IAAmB,gBAA+BA,IAAmB,YACnFe,EAAaf,IAAmB,eAA8BA,IAAmB,eAEjFgB,EAAiB,KAAK,aAAaP,CAAG,EACtCQ,EAAkB,KAAK,cAAc,EACrCC,EAAKJ,EAAc,KAAK,OAAO,EAAIE,EAAiB,KAAK,OAAO,EAChEG,EAAIJ,EAAa,KAAK,OAAO,EAAIE,EAAkB,KAAK,OAAO,EAGrE,GAAIJ,EAAY,CACd,GAAM,CAAE,MAAAO,EAAO,OAAAC,CAAO,EAAIR,EACpBS,EAAO,KAAK,IAAI,KAAK,IAAIJ,EAAGE,EAAQJ,CAAc,EAAG,CAAC,EACtDO,EAAO,KAAK,IAAI,KAAK,IAAIJ,EAAGE,EAASJ,CAAe,EAAG,CAAC,EAC9D,MAAO,CAAE,EAAGK,EAAM,EAAGC,CAAK,CAC5B,CACA,MAAO,CAAE,EAAAL,EAAG,EAAAC,CAAE,CAChB,CAEA,KAAKK,EAAkE,CACrE,IAAMC,EAASC,GAAaF,CAAS,EAC/Bf,EAAMkB,GAAoBF,CAAM,EAEhC,CACJ,gBAAAxB,EAAiB,UAAAC,EAAW,SAAAC,EAAU,UAAAC,EAAW,QAAAC,CACnD,EAAI,KAAK,QAETI,EAAI,KAAO,GAAGN,OAAcC,IAC5B,IAAMwB,EAAe,KAAK,aAAanB,CAAG,EACpCoB,EAAa,KAAK,cAAc,EAEtCpB,EAAI,UAAYR,EAChB,IAAM6B,EAAY,KAAK,aAAarB,EAAKgB,CAAM,EAC/ChB,EAAI,SAASqB,EAAU,EAAGA,EAAU,EAAGF,EAAcC,CAAU,EAE/DpB,EAAI,UAAYP,EAChB,KAAK,KAAK,QAAQ,CAAC6B,EAAUC,IAAM,CACjC,IAAMd,EAAIb,EAAUyB,EAAU,EACxBX,EAAId,EAAUyB,EAAU,GAAME,EAAI,GAAK7B,EAC7CM,EAAI,SAASsB,EAAUb,EAAGC,CAAC,CAC7B,CAAC,CACH,CACF,ECjHO,IAAMc,GAAN,KAAqB,CAS1B,YAAYC,EAA2B,CAAC,EAAG,CACzC,GAAM,CACJ,SAAAC,EAAU,UAAAC,EAAW,MAAAC,EAAO,iBAAAC,CAC9B,EAAIJ,EACJ,KAAK,SAAWC,GAAY,qBAC5B,KAAK,UAAYC,GAAa,EAC9B,KAAK,MAAQC,EAEb,IAAME,EAA0B,CAC9B,6BACA,gBAAiB,KAAK,QACxB,EACA,KAAK,iBAAmB,IAAIC,GAAqB,CAAE,GAAGD,EAAyB,GAAGD,CAAiB,CAAC,CACtG,CACF,EAEaG,GAAN,KAAc,CAKnB,YACEC,EACAR,EAA2B,CAAC,EAC5B,CACA,KAAK,IAAM,IAAIS,GAAID,CAAG,EACtB,KAAK,QAAU,IAAIT,GAAeC,CAAO,CAC3C,CAEA,KAAKU,EAAkE,CACrE,IAAMC,EAAMC,GAAoBF,CAAS,EAEnC,CAAE,SAAAT,EAAU,UAAAC,CAAU,EAAI,KAAK,QAE/B,CACJ,EAAAW,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CACf,EAAI,KAAK,IACTL,EAAI,YAAcV,EAClBU,EAAI,UAAYT,EAChBS,EAAI,WAAWE,EAAGC,EAAGC,EAAOC,CAAM,EAElC,GAAM,CAAE,MAAAb,CAAM,EAAI,KAAK,QACnBA,GACF,IAAIc,GAAc,CAACd,CAAK,EAAG,CAAE,EAAGU,EAAKX,EAAY,EAAI,EAAAY,CAAE,EAAG,KAAK,QAAQ,gBAAgB,EAAE,KAAKJ,CAAS,CAE3G,CACF,EC3DO,SAASQ,IACdC,EACAC,EACA,EACwB,MAAM,QAAQA,CAAU,EAAIA,EAAa,CAACA,CAAU,GAE5D,QAASC,GAAQ,CAE/B,IAAMC,EAAQD,aAAeE,GACzBF,EAAI,MACHG,GAAoBH,CAAG,EAAIA,EAAI,UAAU,MAAQ,OAGhDI,EAAMJ,aAAeE,GACvBF,EAAI,IACHG,GAAoBH,CAAG,EAAIA,EAAI,UAAU,IAAM,IAAIK,GAAIL,CAAG,EAEzDM,EAAQL,EAAQ,GAAGM,GAAMN,CAAK,IAAM,OAC1C,IAAIO,GAAQJ,EAAK,CAAE,MAAAE,CAAM,CAAC,EAAE,KAAKR,CAAS,CAC5C,CAAC,CACH,CC1BO,SAASW,GAAcC,EAAsD,CAClF,GAAM,CAAE,MAAAC,EAAO,MAAAC,CAAM,EAAIC,GAAI,OAAO,EAEpC,OAAQH,aAAiBC,GAASD,EAAM,UAClCA,aAAiBE,GAASF,EAAM,YAAc,CACtD,CCJO,SAASI,GAAiBC,EAAgE,CAE/F,OAAO,IAAI,QAAQ,CAACC,EAASC,IAAW,EAClCF,aAAiBG,GAAI,OAAO,EAAE,QAAUC,GAAcJ,CAAK,IAAGC,EAAQ,IAAI,EAE9E,SAASI,EAAQC,EAAU,CACrB,CAACA,EAAE,gBAEPA,EAAE,cAAc,oBAAoB,OAAQC,CAAM,EAClDD,EAAE,cAAc,oBAAoB,QAASD,CAAO,EACpDH,EAAOI,CAAC,EACV,CAEA,SAASC,EAAOD,EAAU,CACpB,CAACA,EAAE,gBACPA,EAAE,cAAc,oBAAoB,OAAQC,CAAM,EAClDD,EAAE,cAAc,oBAAoB,QAASD,CAAO,EACpDJ,EAAQK,CAAC,EACX,CAEAN,EAAM,iBAAiB,OAAQO,CAAM,EACrCP,EAAM,iBAAiB,QAASK,CAAO,CACzC,CAAC,CACH,CCxBO,SAASG,GAAcC,EAAsC,CAClE,OAAO,IAAI,QAAQ,CAACC,EAASC,IAAW,CAChCF,aAAe,MAAOE,EAAO,IAAI,MAAM,kDAAkD,CAAC,EAChG,IAAMC,EAAS,IAAI,WACnBA,EAAO,OAAS,IAAM,CAChB,OAAOA,EAAO,QAAW,UAAUD,EAAO,IAAI,MAAM,kEAAkE,CAAC,EAC3H,IAAME,EAAMC,GAAI,OAAO,EAAE,mBAAmB,EAC5CD,EAAI,OAAS,IAAMH,EAAQG,CAAG,EAC9BA,EAAI,QAAUF,EACdE,EAAI,IAAMD,EAAO,MACnB,EACAA,EAAO,QAAUD,EACjBC,EAAO,cAAcH,CAAG,CAC1B,CAAC,CACH,CCbO,SAASM,GAAmBC,EAA0F,CAC3H,GAAM,CAAE,MAAAC,EAAO,MAAAC,CAAM,EAAIC,GAAI,OAAO,EAEpC,OAAIH,aAAiBC,EACZ,IAAIG,GAAWJ,EAAM,aAAcA,EAAM,aAAa,EAE3DA,aAAiBE,EACZ,IAAIE,GAAWJ,EAAM,WAAYA,EAAM,WAAW,EAEpD,IAAII,GAAWJ,EAAM,MAAOA,EAAM,MAAM,CACjD,CCPO,SAASK,GAAa,CAAE,MAAAC,EAAO,OAAAC,CAAO,EAAmC,CAC9E,GAAM,CAAE,oBAAAC,CAAoB,EAAIC,GAAI,OAAO,EACrCC,EAASF,EAAoB,EACnC,OAAAE,EAAO,MAAQJ,EACfI,EAAO,OAASH,EACTG,CACT,CAEO,SAASC,GAAsBC,EAAwDC,EAAuC,CACnI,GAAM,CAAE,UAAAC,CAAU,EAAIL,GAAI,OAAO,EAEjC,GAAI,EAAEG,aAAiBE,IAAc,CAACC,GAAcH,CAAK,EACvD,MAAM,IAAI,MAAM,4DAA4D,EAG9E,GAAM,CAAE,MAAAN,EAAO,OAAAC,CAAO,EAAIM,GAAQG,GAAmBJ,CAAK,EACpDF,EAASL,GAAa,CAAE,MAAAC,EAAO,OAAAC,CAAO,CAAC,EAE7C,OAAIK,aAAiBE,EACnBG,GAAoBP,CAAM,EAAE,aAAaE,EAAO,EAAG,CAAC,EAEpDK,GAAoBP,CAAM,EAAE,UAAUE,EAAO,EAAG,EAAGN,EAAOC,CAAM,EAE3DG,CACT,CCzBA,eAAsBQ,GACpBC,EACAC,EAC4B,CAC5B,IAAMC,EAAeD,GAAUE,GAAI,OAAO,EAAE,oBAAoB,EAE1D,CAACC,EAAQC,EAAOC,CAAW,EAAIN,EAAU,MAAM,MAAMO,GAAWP,CAAS,EAAI,EAAI,CAAC,EAClFQ,EAAiBC,EAAK,IAAMT,EAAU,KAAKI,EAAQC,EAAOC,CAAW,EAAE,MAAM,CAAC,EACpF,aAASI,GAAW,SAASF,EAAaN,CAAY,EAEtDM,EAAY,QAAQ,EAEbN,CACT,CChBO,SAASS,GAAeC,EAAY,CACzC,GAAM,CAAE,MAAAC,EAAO,OAAAC,EAAQ,MAAAC,CAAM,EAAIC,GAAI,OAAO,EAE5C,OAAOJ,aAAiBC,GACnBD,aAAiBE,GACjBF,aAAiBG,CACxB,CCHO,SAASE,GAAcC,EAA6CC,EAAmBC,EAAc,GAAO,CACjH,GAAM,CAAE,MAAAC,EAAO,OAAAC,CAAO,EAAIC,GAAI,OAAO,EAErC,GAAI,EAAEL,aAAiBG,GAASH,aAAiBI,GAC/C,MAAM,IAAI,MAAM,0EAA0E,EAG5F,GAAIH,GAAa,EAAG,OAAOK,GAAa,CAAE,MAAO,EAAG,OAAQ,CAAE,CAAC,EAC/D,IAAMC,EAAOC,GAAmBR,CAAK,EAC/BS,EAAQR,EAAY,KAAK,IAAIM,EAAK,OAAQA,EAAK,KAAK,EACpDG,EAAQD,EAAQF,EAAK,MACrBI,EAASF,EAAQF,EAAK,OAEtBK,EAAeN,GAAa,CAAE,MAAOL,EAAW,OAAQA,CAAU,CAAC,EACnEY,EAAcb,aAAiBI,EAASJ,EAAQc,GAAsBd,CAAK,EAE3Ee,EAAS,KAAK,IAAIL,EAAQC,CAAM,EAAI,EACpCK,EAAKd,GAAeQ,EAAQC,EAASI,EAAS,EAC9CE,EAAKf,GAAeS,EAASD,EAAQK,EAAS,EACpD,OAAIF,EAAY,MAAQ,GAAKA,EAAY,OAAS,GAAGK,GAAoBN,CAAY,EAAE,UAAUC,EAAaG,EAAIC,EAAIP,EAAOC,CAAM,EAE5HC,CACT,CCjBO,IAAMO,GAAN,KAAe,CAapB,YAAYC,EAAkCC,EAAoB,GAAO,CAZzE,KAAQ,cAAkD,CAAC,EAE3D,KAAQ,UAAiC,CAAC,EAI1C,KAAQ,mBAAqB,GAE7B,KAAQ,iBAA+B,CAAC,EAExC,KAAQ,WAAa,EAGnB,GAAI,CAAC,MAAM,QAAQD,CAAM,EACvB,MAAM,IAAI,MAAM,4HAA4HA,GAAQ,EAGtJ,KAAK,mBAAqBC,EAC1B,KAAK,WAAaD,EAAO,OAEzBA,EAAO,QAAQ,CAACE,EAAOC,IAAQ,CAC7B,GAAIC,GAAWF,CAAK,EAAG,CACrB,KAAK,cAAcC,GAAOD,EAC1B,KAAK,iBAAiBC,GAAOD,EAAM,MACnC,MACF,CAEA,GAAIG,GAAWH,CAAK,EAAG,CACrB,IAAMI,EAAaJ,EAAc,MAAM,GACvC,GAAII,IAAc,EAChB,MAAM,IAAI,MAAM,yCAAyCA,4CAAoD,EAG/G,KAAK,cAAcH,GAAOD,EAC1B,KAAK,iBAAiBC,GAAQD,EAAc,MAAM,MAAM,CAAC,EACzD,MACF,CAGA,IAAMK,EAAUL,aAAyBM,GAAI,OAAO,EAAE,OAASN,EAAQO,GAAsBP,CAAK,EAClG,KAAK,UAAUC,GAAOI,EACtB,KAAK,iBAAiBJ,GAAO,CAACI,EAAO,OAAQA,EAAO,MAAO,CAAC,CAC9D,CAAC,CACH,CAEA,IAAW,cAAiD,CAC1D,OAAO,KAAK,aACd,CAEA,IAAW,UAAgC,CACzC,OAAO,KAAK,SACd,CAEA,IAAW,cAAwB,CACjC,OAAO,KAAK,UAAY,GAAK,KAAK,kBACpC,CAEA,IAAW,WAAoB,CAC7B,OAAO,KAAK,UACd,CAEA,IAAW,iBAA8B,CACvC,OAAO,KAAK,gBACd,CAEA,IAAW,WAAgC,CACzC,OAAO,KAAK,UACd,CAEA,IAAW,yBAAwC,CACjD,OAAOG,GAAM,KAAK,UAAW,EAAG,CAAC,EAAE,IACjC,CAACC,EAAGC,IAAa,KAAK,2BAA2BA,CAAQ,CAC3D,CACF,CAEO,SAASA,EAAiE,CAC/E,OAAO,KAAK,SAASA,IAAa,KAAK,aAAaA,EACtD,CAEO,mBAAmBA,EAA4B,CACpD,OAAO,KAAK,iBAAiBA,EAC/B,CAEO,eAAeA,EAA0B,CAC9C,OAAO,KAAK,iBAAiBA,GAAU,EACzC,CAEO,cAAcA,EAA0B,CAC7C,OAAO,KAAK,iBAAiBA,GAAU,EACzC,CAEO,2BAA2BA,EAA8B,CAC9D,GAAI,OAAO,KAAK,WAAc,SAC5B,MAAM,IAAI,MAAM,uFAAuF,EAGzG,IAAMC,EAAQ,KAAK,cAAcD,CAAQ,EACnCE,EAAS,KAAK,eAAeF,CAAQ,EAC3C,OAAOG,GAA0B,CAAE,MAAAF,EAAO,OAAAC,CAAO,EAAG,KAAK,SAAS,CACpE,CAWO,cAAcE,EAAmBC,EAAiB,GAAmB,CAC1E,YAAK,WAAaD,EAERE,EAAK,IAAM,CACnB,IAAMC,EAAeT,GAAM,KAAK,UAAW,EAAG,CAAC,EAAE,IAAKE,GAAa,CACjE,IAAMV,EAAQ,KAAK,SAASU,CAAQ,EAEpC,GAAIV,aAAoBkB,GAAQ,CAC9B,IAAIC,EAAYhB,GAAWH,CAAK,EAAIA,EAAWoB,GAAWpB,CAAK,EAC/D,OAAAmB,EAAYE,GAAYF,EAA0BJ,CAAc,GAE5DI,EAAU,MAAM,KAAOL,GAAaK,EAAU,MAAM,KAAOL,KAC7DK,EAAeG,GAAS,eAAeH,EAA0B,CAACL,EAAWA,CAAS,EAAG,GAAO,EAAK,GAGhGK,EAAU,KAAKL,EAAWA,EAAW,CAAC,CAC/C,CAEA,GAAId,aAAiBM,GAAI,OAAO,EAAE,OAChC,OAAUiB,GAAW,WAAWC,GAAcxB,EAAOc,EAAWC,CAAc,CAAC,EAGjF,MAAM,IAAI,MAAM,+BAA+BL,8FAAqGV,GAAO,CAC7J,CAAC,EAKD,OAHuByB,GAAMR,EAAa,IAAKS,GAASC,GAAKD,EAAG,SAAS,CAAC,CAAC,EAAE,KAAK,KAAK,UAAWZ,EAAWA,EAAW,CAAC,CAI3H,CAAC,CACH,CACF,EC1IA,eAAsBc,GAAWC,EAAsC,CACrE,GAAIA,aAAkBC,GAAU,OAAOD,EACvC,IAAME,EAAgB,MAAM,QAAQF,CAAM,EAAIA,EAAS,CAACA,CAAM,EAC9D,GAAI,CAACE,EAAc,OAAQ,MAAM,IAAI,MAAM,0CAA0C,EACrF,IAAMC,EAAcC,GAAiB,MAAM,QAAQJ,CAAM,EAAI,mBAAmBI,KAAS,GACnFC,EAAaH,EAAc,IAAII,EAAY,EACjD,OAAAD,EAAW,QAAQ,CAACE,EAAOC,IAAM,CAC/B,GAAI,CAACC,GAAeF,CAAK,GAAK,CAACG,GAAWH,CAAK,GAAK,CAACI,GAAWJ,CAAK,EACnE,MAAI,OAAOL,EAAcM,IAAO,SAAgB,IAAI,MAAM,eAAeL,EAAWK,CAAC,qEAAqEN,EAAcM,IAAI,EACtK,IAAI,MAAM,eAAeL,EAAWK,CAAC,8HAA8H,EAE3K,GAAIG,GAAWJ,CAAK,EAAG,CAErB,IAAMK,EAAYL,EAAM,MAAM,GAC9B,GAAIK,IAAc,EAAG,MAAM,IAAI,MAAM,eAAeT,EAAWK,CAAC,gCAAgCI,4CAAoD,CACtJ,CACF,CAAC,EAED,MAAM,QAAQ,IAAIP,EAAW,IAAKE,GAAUE,GAAeF,CAAK,GAAKM,GAAiBN,CAAK,CAAC,CAAC,EACtF,IAAIN,GAASI,EAAY,MAAM,QAAQL,CAAM,CAAC,CACvD,CClBA,eAAsBc,GAAaC,EAAkBC,EAAuE,CAC1H,GAAM,CAAE,OAAAC,CAAO,EAAIC,GAAI,OAAO,EAC1BC,EAASJ,EACb,GAAI,EAAEA,aAAiBE,GAAS,CAC9B,IAAMG,EAAW,MAAMC,GAAWN,CAAK,EACvC,GAAIK,EAAS,UAAY,EAAG,MAAM,IAAI,MAAM,4CAA4C,EACxF,IAAME,EAAiBF,EAAS,SAAS,CAAC,EAC1CD,EAASG,aAA0BL,EAASK,EAAiB,MAAMC,GAAoBD,CAAc,CACvG,CACA,IAAME,EAAMC,GAAoBN,CAAM,EAItC,OAHcH,EACX,IAAKU,GAASA,aAAeC,GAAgBD,EAAI,QAAQP,EAAO,MAAOA,EAAO,MAAM,EAAE,IAAI,MAAM,EAAIO,CAAI,EACxG,IAAKE,GAAQA,EAAI,mBAAmBT,EAAO,MAAOA,EAAO,MAAM,CAAC,EACtD,IAAI,CAAC,CAAE,EAAAU,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CAAO,IAAM,CAC5C,IAAMC,EAAUC,GAAa,CAAE,MAAAH,EAAO,OAAAC,CAAO,CAAC,EAC9C,OAAID,EAAQ,GAAKC,EAAS,GAAGP,GAAoBQ,CAAO,EAAE,aAAaT,EAAI,aAAaK,EAAGC,EAAGC,EAAOC,CAAM,EAAG,EAAG,CAAC,EAC3GC,CACT,CAAC,CACH,CClBA,eAAsBE,GAAmBC,EAAwCC,EAAiE,CAChJ,GAAI,CAACC,GAAWF,CAAW,GAAK,CAACG,GAAWH,CAAW,EACrD,MAAM,IAAI,MAAM,2DAA2D,EAG7E,GAAIG,GAAWH,CAAW,GAAKA,EAAY,MAAM,GAAK,EACpD,MAAM,IAAI,MAAM,kDAAkD,EAGpE,OAAUI,EAAK,IAAM,CACnB,GAAM,CAACC,EAAWC,EAAUC,CAAW,EAAIP,EAAY,MAAM,MAAMG,GAAWH,CAAW,EAAI,EAAI,CAAC,EAMlG,OALcC,EAAW,IAAKO,GAASA,aAAeC,GAAgBD,EAAI,QAAQF,EAAUD,CAAS,EAAE,IAAMG,CAAI,EAC9G,IAAKE,GAAQA,EAAI,mBAAmBJ,EAAUD,CAAS,CAAC,EAExD,OAAQK,GAAQA,EAAI,MAAQ,GAAKA,EAAI,OAAS,CAAC,EAC/C,IAAI,CAAC,CAAE,EAAAC,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CAAO,IAASC,GAAQf,EAAY,KAAKK,EAAWC,EAAUC,CAAW,EAAG,CAACK,EAAGD,EAAG,CAAC,EAAG,CAACG,EAAQD,EAAON,CAAW,CAAC,CAAC,CAE7I,CAAC,CACH,CChCA,eAAsBS,GACpBC,EAEAC,EACmB,CACnB,GAAM,CAAE,MAAAC,CAAM,EAAIC,GAAI,OAAO,EACvBC,EAAM,MAAMF,EAAMF,EAAKC,CAAI,EACjC,GAAI,EAAEG,EAAI,OAAS,KACjB,MAAM,IAAI,MAAM,qBAAqBA,EAAI,WAAWA,EAAI,yBAAyBA,EAAI,KAAK,EAE5F,OAAOA,CACT,CCVA,eAAsBC,IAAWC,EAAwC,CACvE,IAAMC,EAAM,MAAMC,GAAaF,CAAG,EAC5BG,EAAO,MAAOF,EAAK,KAAK,EAE9B,GAAI,CAACE,EAAK,KAAK,WAAW,QAAQ,EAChC,MAAM,IAAI,MAAM,wEAAwEA,EAAK,kBAAkBF,EAAI,KAAK,EAE1H,OAAOG,GAAcD,CAAI,CAC3B,CCTA,eAAsBE,GAAaC,EAAyB,CAC1D,OAAQ,MAAMC,GAAaD,CAAG,GAAG,KAAK,CACxC,CCFA,eAAsBE,IAAgBC,EAAoC,CACxE,OAAO,IAAI,aAAa,MAAO,MAAMC,GAAaD,CAAG,GAAG,YAAY,CAAC,CACvE,CCFO,SAASE,GAAcC,EAAsC,CAClE,OAAO,IAAI,QAAQ,CAACC,EAASC,IAAW,CAChCF,aAAe,MAAOE,EAAO,IAAI,MAAM,kDAAkD,CAAC,EAEhG,IAAMC,EAAQC,GAAI,OAAO,EAAE,mBAAmB,EAC9CD,EAAM,UAAY,IAAMF,EAAQE,CAAK,EACrCA,EAAM,QAAUD,EAChBC,EAAM,YAAc,GACpBA,EAAM,MAAQ,GACdA,EAAM,IAAM,IAAI,gBAAgBH,CAAG,EACnCG,EAAM,KAAK,CACb,CAAC,CACH,CCXA,eAAsBE,IAAWC,EAAwC,CACvE,IAAMC,EAAM,MAAMC,GAAaF,CAAG,EAC5BG,EAAO,MAAOF,EAAK,KAAK,EAE9B,GAAI,CAACE,EAAK,KAAK,WAAW,QAAQ,EAChC,MAAM,IAAI,MAAM,wEAAwEA,EAAK,kBAAkBF,EAAI,KAAK,EAE1H,OAAOG,GAAcD,CAAI,CAC3B,CCXO,SAASE,GAAaC,EAAyBC,EAA0B,CAC9E,IAAMC,EAA0B,GAAGD,0BAEnC,GAAI,CAACD,EACH,MAAO,CACL,aAAc,GACd,YAAaE,CACf,EAGF,GAAIF,IAAQ,IACV,MAAO,CACL,aAAc,IACd,YAAa,IAAIE,GACnB,EAGF,IAAMC,EAAWH,EAAI,WAAW,SAAS,EAAI,UAAYA,EAAI,WAAW,UAAU,EAAI,WAAa,GACnGA,EAAMA,EAAI,QAAQG,EAAU,EAAE,EAE9B,IAAMC,EAAQJ,EAAI,MAAM,GAAG,EAAE,OAAQK,GAAMA,CAAC,EAEtCC,EAAeN,EAAI,SAAS,OAAO,EACrCI,EAAMA,EAAM,OAAS,GACrBF,EAEAK,EAAeJ,GAAYH,EAAI,SAAS,OAAO,EAAII,EAAM,MAAM,EAAGA,EAAM,OAAS,CAAC,EAAIA,GAAO,KAAK,GAAG,EACzG,OAAAG,EAAeP,EAAI,WAAW,GAAG,EAAI,IAAIO,IAAiBA,EAEnD,CACL,aAAAA,EACA,YAAaA,IAAiB,IAAM,IAAID,IAAiB,GAAGC,KAAgBD,GAC9E,CACF,CC5BA,eAAsBE,GACpBC,EACAC,EAC4B,CAC5B,GAAM,CAAE,YAAAC,EAAa,aAAAC,CAAa,EAAIC,GAAaJ,EAAKC,CAAgB,EAElEI,EAAW,MAAMC,GAAuCJ,CAAW,EAEzE,OAAUK,GAAM,YAAYF,EAAUF,CAAY,CACpD,CCXO,SAASK,IAAgBC,EAAoBC,EAAwBC,EAAqB,GAAO,CACtG,GAAM,CAAE,MAAAC,EAAO,OAAAC,CAAO,EAAIF,EACtBG,GAAmBJ,CAAS,EAC5BA,EACJ,OAAAD,EAAM,MAAQG,EACdH,EAAM,OAASI,EACR,CAAE,MAAAD,EAAO,OAAAC,CAAO,CACzB,CCHO,IAAeE,GAAf,KAAyC,CAC9C,YAAYC,EAAc,CAI1B,KAAU,QAAkC,OAE5C,KAAU,eAAiC,CAAC,EAL1C,KAAK,MAAQA,CACf,CAQA,IAAW,QAAiC,CAAE,OAAO,KAAK,OAAS,CAEnE,IAAW,eAAgC,CAAE,OAAO,KAAK,cAAgB,CAEzE,IAAW,UAAoB,CAAE,MAAO,CAAC,CAAC,KAAK,MAAQ,CAEhD,iBAAiBC,EAA8B,CACpD,GAAM,CAAE,IAAAC,EAAK,QAAAC,CAAQ,EAAI,KAAK,qBAAqBF,CAAS,EAC5D,OAAOC,EAAIC,EACb,CAEO,sBAAsBF,EAAmBG,EAAmB,CACjE,GAAM,CAAE,IAAAF,EAAK,QAAAC,CAAQ,EAAI,KAAK,qBAAqBF,CAAS,EAC5DC,EAAIC,GAAS,QAAQ,EACrBD,EAAIC,GAAWC,CACjB,CAEO,cAAe,CACpB,OAAO,KAAK,eAAe,IAAI,CAAC,CAAE,UAAAH,CAAU,KAAO,CACjD,KAAMA,EACN,OAAQ,KAAK,iBAAiBA,CAAS,CACzC,EAAE,CACJ,CAEO,oBAAqB,CAC1B,OAAO,KAAK,aAAa,EAAE,OAAQI,GAAUA,EAAM,kBAAqBC,EAAQ,CAClF,CAEO,iBAAkB,CACvB,OAAO,KAAK,aAAa,EAAE,OAAQD,GAAU,EAAEA,EAAM,kBAAqBC,GAAS,CACrF,CAEO,UAAW,CAChB,KAAK,gBAAgB,EAAE,QAAQ,CAAC,CAAE,KAAAC,EAAM,OAAAH,CAAO,IAAM,CACnD,KAAK,sBAAsBG,EAAMH,EAAO,SAAS,CAAC,CACpD,CAAC,CACH,CAEO,QAAS,CACd,KAAK,mBAAmB,EAAE,QAAQ,CAAC,CAAE,KAAAG,EAAM,OAAQC,CAAS,IAAM,CAChE,IAAMJ,EAAYK,GAAOD,EAAS,SAAS,CAAC,EAC5CA,EAAS,QAAQ,EACjB,KAAK,sBAAsBD,EAAMH,CAAM,CACzC,CAAC,CACH,CAEO,QAAQM,EAAmB,GAAM,CACtC,KAAK,aAAa,EAAE,QAASL,GAAU,CACrC,GAAIK,GAAoBL,EAAM,OAAO,WACnC,MAAM,IAAI,MAAM,mDAAmDA,EAAM,MAAM,EAEjFA,EAAM,OAAO,QAAQ,CACvB,CAAC,EACD,KAAK,QAAU,MACjB,CAEO,iBAAgC,CACrC,OAAO,IAAI,aACT,KAAK,aAAa,EACf,IAAI,CAAC,CAAE,OAAAD,CAAO,IAAM,MAAM,KAAKA,EAAO,SAAS,CAAC,CAAa,EAC7D,OAAO,CAACO,EAAMC,IAAQD,EAAK,OAAOC,CAAG,CAAC,CAC3C,CACF,CAEA,MAAa,KAAKC,EAAgE,CAChF,GAAIA,aAAwB,aAAc,CACxC,KAAK,eAAeA,CAAY,EAChC,MACF,CACA,MAAM,KAAK,YAAYA,CAAY,CACrC,CAEA,MAAa,YAAYC,EAAyB,CAChD,GAAIA,GAAO,OAAOA,GAAQ,SACxB,MAAM,IAAI,MAAM,GAAG,KAAK,wCAAwC,EAElE,IAAMC,EAAY,MAAMC,GAAcF,EAAK,KAAK,oBAAoB,CAAC,EACrE,KAAK,kBAAkBC,CAAS,CAClC,CAEA,MAAa,aAAaE,EAA8B,CACtD,GAAIA,GAAY,OAAOA,GAAa,SAClC,MAAM,IAAI,MAAM,GAAG,KAAK,+CAA+C,EAEzE,GAAM,CAAE,SAAAC,CAAS,EAAIC,GAAI,OAAO,EAC1B,CAAE,YAAAC,EAAa,aAAAC,CAAa,EAAIC,GAAaL,EAAU,KAAK,oBAAoB,CAAC,EACjFM,EAAwBC,GAAwB,QAAQ,IAAIA,EAAU,IAAKC,GAAOP,EAASO,CAAE,EAAE,KAAMC,GAAQA,EAAI,MAAM,CAAC,CAAC,EACzHC,EAAiBC,GAAM,qBAAqBL,CAAoB,EAChEM,EAAW,KAAK,OAAO,MAAMX,EAASE,CAAW,GAAG,SAAS,CAAC,EAC9DL,EAAY,MAAMY,EAAYE,EAAUR,CAAY,EAC1D,KAAK,kBAAkBN,CAAS,CAClC,CAEO,kBAAkBA,EAA8B,CACrD,GAAM,CAAE,cAAAe,EAAe,OAAAC,CAAO,EAAI,KAAK,2BAA2BhB,CAAS,EAC3E,KAAK,eAAiBe,EACtB,KAAK,QAAUC,CACjB,CAEO,eAAeC,EAAuB,CAC3C,GAAM,CAAE,cAAAF,EAAe,OAAAC,CAAO,EAAI,KAAK,cAAcC,CAAO,EAC5D,KAAK,eAAiBF,EACtB,KAAK,QAAUC,CACjB,CAEQ,qBAAqB9B,EAAmB,CAC9C,GAAI,CAAC,KAAK,OACR,MAAM,IAAI,MAAM,mDAAmD,EAGrE,IAAMgC,EAAShC,EAAU,MAAM,GAAG,EAAE,OAAO,CAACiC,EAAoD/B,IAAY,CAE1G,GAAI,CAAC+B,EAAI,QAAQ,eAAe/B,CAAO,EACrC,MAAM,IAAI,MAAM,wDAAwDA,eAAqBF,GAAW,EAE1G,MAAO,CAAE,IAAKiC,EAAI,QAAS,QAAA/B,EAAS,QAAS+B,EAAI,QAAQ/B,EAAS,CACpE,EAAG,CAAE,QAAS,KAAK,MAAO,CAAC,EAErB,CAAE,IAAAD,EAAK,QAAAC,CAAQ,EAAI8B,EACzB,GAAI,CAAC/B,GAAO,CAACC,GAAW,EAAED,EAAIC,aAAuBgC,IACnD,MAAM,IAAI,MAAM,8DAA8DlC,GAAW,EAG3F,MAAO,CAAE,IAAAC,EAAK,QAAAC,CAAQ,CACxB,CASF,ECnJO,SAASiC,GACdC,EACAC,EACAC,EACa,CACb,OAAUC,EAAK,IAAM,CACnB,IAAIC,EAASC,GAAgBL,EAAGC,EAAO,iBAAkBA,EAAO,iBAAkBC,EAAQ,MAAM,EAChG,OAAAE,EAASE,EAAIF,EAAKH,EAAO,IAAI,EACtBG,CACT,CAAC,CACH,CCRO,SAASG,GACdC,EACAC,EACAC,EAAe,GACF,CACb,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAUC,GACdH,EACOI,EACAC,GAAOP,EAAIC,EAAiB,MAAqB,QAAS,CAAC,EAAG,CAAC,EAAG,MAAM,EAC3EA,EAAiB,MAAM,IACzB,EACEO,GAAuBR,EAAGC,EAAiB,MAA8B,CAAC,EAAG,CAAC,CAAC,CACrF,EACMQ,EAAOD,GAAuBJ,EAAMH,EAAiB,MAAO,CAAC,EAAG,CAAC,CAAC,EAElES,EAASL,GAAQC,EAAIF,EAAMK,CAAI,CAAC,EAChCE,EAAOH,GAAuBE,EAAKT,EAAiB,MAAO,CAAC,EAAG,CAAC,CAAC,EAEvE,OAAUI,GAAQC,EAAIF,EAASE,EAAIG,EAAME,CAAI,CAAC,CAAC,CACjD,CAAC,CACH,CAEO,SAASC,GACdZ,EACAC,EACAC,EAAe,GACfW,EAAc,GACD,CACb,OAAUV,EAAK,IAAM,CACnB,IAAMC,EAAUC,GACdH,EACOI,EACAC,GAAOP,EAAIC,EAAiB,MAAqB,QAASY,EAAc,CAAC,EAAG,CAAC,EAAI,CAAC,EAAG,CAAC,EAAG,MAAM,EAClGZ,EAAiB,MAAM,IACzB,EACEO,GAAuBR,EAAGC,EAAiB,MAA8BY,EAAc,CAAC,EAAG,CAAC,EAAI,CAAC,EAAG,CAAC,CAAC,CAC5G,EACMJ,EAAOD,GAAuBJ,EAAMH,EAAiB,MAAO,CAAC,EAAG,CAAC,CAAC,EAElES,EAASL,GAAQC,EAAIF,EAAMK,CAAI,CAAC,EAChCE,EAAOH,GAAuBE,EAAKT,EAAiB,MAAO,CAAC,EAAG,CAAC,CAAC,EAEjEa,EAAST,GAAQC,EAAIF,EAASE,EAAIG,EAAME,CAAI,CAAC,CAAC,EAC9CI,EAAOP,GAAuBM,EAAKb,EAAiB,MAAO,CAAC,EAAG,CAAC,CAAC,EAEvE,OAAUI,GAAQC,EAAIF,EAASE,EAAIG,EAASH,EAAIK,EAAMI,CAAI,CAAC,CAAC,CAAC,CAC/D,CAAC,CACH,CClDO,SAASC,GACdC,EACAC,EACAC,EAA4B,OAC5BC,EAAW,GACE,CACb,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAASC,EACVC,GAAOP,EAAGC,EAAO,QAAS,CAAC,EAAG,CAAC,EAAGC,CAAO,EAC5CD,EAAO,IACT,EAEA,OAAOE,EAAcK,GAAKH,CAAG,EAAIA,CACnC,CAAC,CACH,CChBO,SAASI,GAA2BC,EAAgBC,EAA+B,CACxF,OAAO,KAAKD,CAAS,EAAE,QAASE,GAAS,CAClCD,EAAc,KAAME,GAAOA,EAAG,eAAiBD,CAAI,GACtDF,EAAUE,GAAM,QAAQ,CAE5B,CAAC,CACH,CCJO,SAASE,GACdC,EACAC,EACA,CACA,MAAO,CACLC,EACAC,EACAC,EACAC,IACe,CACf,IAAMC,EAAaC,GACjBP,EAAeE,EAAaC,EAAcC,EAAaA,CAAU,EACjE,CAACA,EAAYA,EAAYF,EAAYC,CAAW,CAClD,EACMK,EAAUC,GAAST,EAAeG,CAAW,CAAC,EAEpD,OAAAF,EAAc,KACZ,CAAE,UAAW,GAAGI,WAAuB,EACvC,CAAE,UAAW,GAAGA,QAAoB,CACtC,EAEO,CAAE,QAAAC,EAAS,KAAAE,CAAK,CACzB,CACF,CCvBO,SAASE,GACdC,EACAC,EACA,CACA,MAAO,CACLC,EACAC,EACAC,IACa,CACb,IAAMC,EAAgBC,GAASN,EAAeE,EAAaC,CAAW,EAAG,CAACD,EAAYC,CAAW,CAAC,EAC5FI,EAAaC,GAASR,EAAeG,CAAW,CAAC,EAEvD,OAAAF,EAAc,KACZ,CAAE,UAAW,GAAGG,WAAuB,EACvC,CAAE,UAAW,GAAGA,QAAoB,CACtC,EAEO,CACL,QAASC,EACT,KAAME,CACR,CACF,CACF,CCNO,IAAME,GAAN,KAA0B,CAE/B,YAESC,EAEAC,EAEAC,EAEP,CANO,sBAAAF,EAEA,sBAAAC,EAEA,UAAAC,CAEN,CACL,EC3BO,SAASC,GACdC,EACAC,EACA,CACA,MAAO,CAACC,EAAoBC,EAAqBC,IAA8C,CAC7F,IAAMC,EAAsBC,GAASN,EAAe,EAAQE,CAAU,EAAG,CAAC,EAAG,EAAGA,EAAY,CAAC,CAAC,EACxFK,EAAsBD,GAASN,EAAeE,EAAaC,CAAW,EAAG,CAAC,EAAG,EAAGD,EAAYC,CAAW,CAAC,EACxGK,EAAUC,GAAST,EAAeG,CAAW,CAAC,EAEpD,OAAAF,EAAc,KACZ,CAAE,UAAW,GAAGG,oBAAgC,EAChD,CAAE,UAAW,GAAGA,oBAAgC,EAChD,CAAE,UAAW,GAAGA,QAAoB,CACtC,EAEO,IAAIM,GACTL,EACAE,EACAC,CACF,CACF,CACF,CAEO,SAASG,GAEdC,EACA,CACA,OAAQC,GAAwC,CAC9C,IAAMR,EAAmBO,EAAgC,GAAGC,qBAA2B,CAAC,EAClFN,EAAmBK,EAAgC,GAAGC,qBAA2B,CAAC,EAClFL,EAAOI,EAAgC,GAAGC,SAAe,CAAC,EAEhE,OAAO,IAAIH,GACTL,EACAE,EACAC,CACF,CACF,CACF,CCvCO,SAASM,GAA0BC,EAAgBC,EAA+B,CACvF,MAAO,CAACC,EAAsBC,EAAmBC,IAAwB,CACvE,IAAMC,EAASL,EAAUE,GAEzB,GAAI,CAACI,GAASD,EAAQF,CAAS,EAC7B,MAAM,IAAI,MAAM,sBAAsBD,oBAA+BC,oBAA4BE,GAAQ,EAG3G,OAAAJ,EAAc,KACZ,CAAE,aAAAC,EAAc,UAAWE,GAAcF,CAAa,CACxD,EAEOG,CACT,CACF,CCjBO,SAASE,GAAsBC,EAAuB,CAC3D,IAAIC,EAAmBD,EAEvB,SAASE,EAAeC,EAAkC,CACxD,IAAMC,EAAMH,EAAiB,MAAM,EAAGE,CAAU,EAChD,OAAAF,EAAmBA,EAAiB,MAAME,CAAU,EAC7CC,CACT,CAEA,SAASC,GAAoC,CAC3C,OAAOJ,CACT,CAEA,MAAO,CACL,eAAAC,EACA,oBAAAG,CACF,CACF,CCdO,SAASC,GAAkBC,EAAwCC,EAA+B,CACvG,IAAMC,EAAoBC,GAAyBH,EAAgBC,CAAa,EAC1EG,EAA6BC,GAAkCL,EAAgBC,CAAa,EAElG,SAASK,EAAyBC,EAAoBC,EAAqBC,EAAsBC,EAAe,GAA0B,CACxI,IAAMC,EAAQD,EACVR,EAAkBK,EAAYC,EAAa,EAAG,GAAGC,SAAoB,EACrEL,EAA2BG,EAAYC,EAAa,GAAGC,SAAoB,EACzEG,EAAQR,EAA2BI,EAAaA,EAAa,GAAGC,SAAoB,EACpFI,EAAQT,EAA2BI,EAAaA,EAAa,GAAGC,SAAoB,EAE1F,MAAO,CAAE,MAAAE,EAAO,MAAAC,EAAO,MAAAC,CAAM,CAC/B,CAEA,SAASC,EAAyBP,EAAoBC,EAAqBC,EAAsBC,EAAe,GAA0B,CACxI,GAAM,CAAE,MAAAC,EAAO,MAAAC,EAAO,MAAAC,CAAM,EAAIP,EAAyBC,EAAYC,EAAaC,EAAcC,CAAY,EACtGK,EAAQX,EAA2BI,EAAaA,EAAa,GAAGC,SAAoB,EAE1F,MAAO,CACL,MAAAE,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAE,CACvB,CACF,CAEA,MAAO,CACL,yBAAAT,EACA,yBAAAQ,CACF,CACF,CC1BO,SAASE,GAAcC,EAA8F,CAC1H,IAAMC,EAAgC,CAAC,EAEjC,CACJ,eAAAC,EACA,oBAAAC,CACF,EAAIC,GAAsBJ,CAAO,EAE3B,CACJ,yBAAAK,CACF,EAAIC,GAAkBJ,EAAgBD,CAAa,EAE7CM,EAASF,EAAyB,EAAG,GAAI,SAAU,EAAI,EACvDG,EAASH,EAAyB,GAAI,GAAI,QAAQ,EAClDI,EAASJ,EAAyB,GAAI,IAAK,QAAQ,EACnDK,EAASL,EAAyB,IAAK,IAAK,QAAQ,EAE1D,GAAIF,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAGlF,MAAO,CACL,cAAAF,EACA,OAAQ,CACN,OAAAM,EAAQ,OAAAC,EAAQ,OAAAC,EAAQ,OAAAC,CAC1B,CACF,CACF,CC1BO,SAASC,GAAsBC,EAAuE,CAC3G,OAAQC,GAA+B,CACrC,IAAMC,EAAUF,EAAgC,GAAGC,YAAkB,CAAC,EAChEE,EAAOH,EAAgC,GAAGC,SAAe,CAAC,EAEhE,MAAO,CAAE,QAAAC,EAAS,KAAAC,CAAK,CACzB,CACF,CCRO,SAASC,GAAkBC,EAAgBC,EAA+B,CAC/E,IAAMC,EAAqBC,GAA0BH,EAAWC,CAAa,EAEvEG,EAAoBC,GAAsBH,CAAkB,EAC5DI,EAA6BC,GAA+BL,CAAkB,EAEpF,SAASM,EAAyBC,EAAgBC,EAAe,GAA0B,CACzF,IAAMC,EAAQD,EACVN,EAAkB,GAAGK,SAAc,EACnCH,EAA2B,GAAGG,SAAc,EAC1CG,EAAQN,EAA2B,GAAGG,SAAc,EACpDI,EAAQP,EAA2B,GAAGG,SAAc,EAE1D,MAAO,CAAE,MAAAE,EAAO,MAAAC,EAAO,MAAAC,CAAM,CAC/B,CAEA,SAASC,EAAyBL,EAAgBC,EAAe,GAA0B,CACzF,IAAMC,EAAQD,EACVN,EAAkB,GAAGK,SAAc,EACnCH,EAA2B,GAAGG,SAAc,EAC1CG,EAAQN,EAA2B,GAAGG,SAAc,EACpDI,EAAQP,EAA2B,GAAGG,SAAc,EACpDM,EAAQT,EAA2B,GAAGG,SAAc,EAE1D,MAAO,CACL,MAAAE,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAE,CACvB,CACF,CAEA,MAAO,CACL,yBAAAP,EACA,yBAAAM,CACF,CACF,CC/BO,SAASE,GACdC,EACuE,CACvE,IAAMC,EAAgC,CAAC,EAEjC,CACJ,yBAAAC,CACF,EAAIC,GAAkBH,EAAWC,CAAa,EAExCG,EAAS,CACb,OAAQF,EAAyB,SAAU,EAAI,EAC/C,OAAQA,EAAyB,QAAQ,EACzC,OAAQA,EAAyB,QAAQ,EACzC,OAAQA,EAAyB,QAAQ,CAC3C,EAEA,OAAAG,GAA2BL,EAAWC,CAAa,EAE5C,CAAE,OAAAG,EAAQ,cAAAH,CAAc,CACjC,CCfO,IAAMK,GAAN,cAAmCC,EAAuG,CAC/I,aAAc,CACZ,MAAM,sBAAsB,CAC9B,CAEO,aAAaC,EAA8B,CAChD,GAAM,CAAE,OAAAC,CAAO,EAAI,KAEnB,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,oDAAoD,EAGtE,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAiBC,GAAKJ,EAAM,cAAc,IAAK,EAAI,EAAG,SAAS,EAE/DK,EAAaC,GAAUH,EADb,CAAC,QAAS,QAAS,OAAO,CACO,EAAE,IAAI,GAAG,EAEtDI,EAAMC,GAAYH,EAAYJ,EAAO,OAAQ,EAAI,EACrD,OAAAM,EAAMC,GAAYD,EAAKN,EAAO,MAAM,EACpCM,EAAMC,GAAYD,EAAKN,EAAO,MAAM,EACpCM,EAAMC,GAAYD,EAAKN,EAAO,MAAM,EACpCM,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,OAAO,EAEtCA,CACT,CAAC,CACH,CAEA,MAAa,QAAQP,EAAwC,CAC3D,OAAO,KAAK,aAAa,MAAMU,GAAWV,CAAK,CAAC,CAClD,CAEU,qBAA8B,CACtC,MAAO,8BACT,CAEU,2BAA2BW,EAA8B,CACjE,OAAOC,GAA2BD,CAAS,CAC7C,CAEU,cAAcE,EAAuB,CAC7C,OAAOC,GAAcD,CAAO,CAC9B,CACF,EChDO,SAASE,GACdC,EACAC,EACa,CACb,OAAUC,EAAK,IAASC,EACnBC,GAAOJ,EAAGC,EAAO,OAAO,EAC3BA,EAAO,IACT,CAAC,CACH,CCTO,SAASI,GAAcC,EAAuBC,EAAoBC,EAA2E,CAClJ,IAAMC,EAAgC,CAAC,EAEjC,CACJ,eAAAC,EACA,oBAAAC,CACF,EAAIC,GAAsBN,CAAO,EAI3BO,EAFkBC,GAAuBJ,EAAgBD,CAAa,EAEjDF,EAAYC,EAAa,IAAI,EAExD,GAAIG,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAGlF,MAAO,CACL,cAAAF,EACA,OAAQ,CAAE,GAAAI,CAAG,CACf,CACF,CClBO,SAASE,GACdC,EACsD,CACtD,IAAMC,EAAgC,CAAC,EAEjCC,EAAqBC,GAA0BH,EAAWC,CAAa,EAE7E,SAASG,EAAgBC,EAA0B,CACjD,IAAMC,EAAUJ,EAAmB,GAAGG,YAAkB,CAAC,EACnDE,EAAOL,EAAmB,GAAGG,SAAe,CAAC,EACnD,MAAO,CAAE,QAAAC,EAAS,KAAAC,CAAK,CACzB,CAEA,IAAMC,EAAS,CACb,GAAIJ,EAAgB,IAAI,CAC1B,EAEA,OAAAK,GAA2BT,EAAWC,CAAa,EAE5C,CAAE,OAAAO,EAAQ,cAAAP,CAAc,CACjC,CCvBO,SAASS,GAAmBC,EAA8B,CAC/D,IAAMC,EAAyC,CAAC,EAC1CC,EAAmC,CAAC,EAE1C,cAAO,KAAKF,CAAS,EAAE,QAASG,GAAQ,CACtC,IAAMC,EAAMD,EAAI,WAAW,IAAI,EAAID,EAAgBD,EACnDG,EAAID,GAAOH,EAAUG,EACvB,CAAC,EAEM,CAAE,oBAAAF,EAAqB,cAAAC,CAAc,CAC9C,CCDO,IAAeG,GAAf,cAGGC,EAAyB,CAGjC,YAAYC,EAAeC,EAA+D,CACxF,MAAMD,CAAK,EACX,KAAK,sBAAwBC,CAC/B,CAEA,IAAW,sBAAgE,CACzE,OAAO,KAAK,qBACd,CAQO,OAAOC,EAA4C,CACxD,GAAM,CAAE,OAAAC,CAAO,EAAI,KAEnB,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,GAAG,KAAK,qCAAqC,EAG/D,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAqBH,aAAiBI,GACxC,KAAK,qBAAqB,aAAaJ,CAAK,EAC5CA,EACJ,OAAOK,GAAoBF,EAAmB,KAAKA,EAAmB,MAAM,GAAI,EAAE,EAAGF,EAAO,EAAE,CAChG,CAAC,CACH,CAEgB,QAAQK,EAAmB,GAAM,CAC/C,KAAK,qBAAqB,QAAQA,CAAgB,EAClD,MAAM,QAAQA,CAAgB,CAChC,CAEO,qBAAqBC,EAAuB,CACjD,GAAM,CAAE,OAAAN,EAAQ,cAAAO,CAAc,EAAI,KAAK,wBAAwBD,CAAO,EACtE,KAAK,QAAUN,EACf,KAAK,eAAiBO,CACxB,CAEO,wBAAwBD,EAAuB,CACpD,OAAOE,GAAcF,EAAS,KAAK,wBAAwB,EAAG,KAAK,yBAAyB,CAAC,CAC/F,CAEU,2BAA2BG,EAA8B,CACjE,GAAM,CAAE,oBAAAC,EAAqB,cAAAC,CAAc,EAAIC,GAAmBH,CAAS,EAE3E,YAAK,qBAAqB,kBAAkBC,CAAmB,EAExDG,GAA2BF,CAAa,CACjD,CAEU,cAAcL,EAAuB,CAC7C,IAAMQ,EAAM,KAAK,wBAAwB,EACnCC,EAAO,KAAK,yBAAyB,EACrCC,EAAwBD,EAAOD,EAAOC,EAEtCE,EAA0BX,EAAQ,MAAM,EAAGA,EAAQ,OAASU,CAAoB,EAChFE,EAAoBZ,EAAQ,MAAMA,EAAQ,OAASU,CAAoB,EAE7E,YAAK,qBAAqB,eAAeC,CAAuB,EACzD,KAAK,wBAAwBC,CAAiB,CACvD,CACF,ECjFO,IAAMC,GAAyB,CAAC,UAAW,QAAS,MAAO,QAAS,UAAW,YAAa,WAAW,EAEjGC,GAAN,KAAsB,CAS3B,YAAYC,EAAwC,CARpD,KAAO,QAAU,EACjB,KAAO,MAAQ,EACf,KAAO,IAAM,EACb,KAAO,MAAQ,EACf,KAAO,QAAU,EACjB,KAAO,UAAY,EACnB,KAAO,UAAY,EAGjB,GAAIA,EAAc,SAAW,EAC3B,MAAM,IAAI,MAAM,8EAA8EA,EAAc,QAAQ,EAGtHF,GAAuB,QAAQ,CAACG,EAAYC,IAAQ,CAClD,KAAKD,GAAcD,EAAcE,EACnC,CAAC,CACH,CAEA,eAAgB,CACd,OAAOJ,GACJ,IAAKG,IAAgB,CAAE,WAAAA,EAAY,YAAa,KAAKA,EAAsB,EAAE,EAC7E,KAAK,CAACE,EAAIC,IAAOA,EAAG,YAAcD,EAAG,WAAW,CACrD,CACF,EClBO,IAAME,GAAN,cAAgCC,EAA0C,CAC/E,YAAYC,EAA6C,IAAIC,GAAwB,CACnF,MAAM,oBAAqBD,CAAoB,CACjD,CAEO,aAAaE,EAA4C,CAC9D,OAAUC,EAAK,IAASC,GAAQ,KAAK,OAAOF,CAAK,CAAC,CAAC,CACrD,CAEA,MAAa,QAAQA,EAAwC,CAC3D,OAAO,KAAK,aAAa,MAAMG,GAAWH,CAAK,CAAC,CAClD,CAEA,MAAa,mBAAmBA,EAAkB,CAChD,IAAMI,EAAW,MAAMD,GAAWH,CAAK,EACjCK,EAAM,MAAM,KAAK,aAAaD,CAAQ,EACtCE,EAAsB,MAAM,QAAQ,IAAOC,GAAQF,CAAG,EAAE,IAAI,MAAOG,GAAM,CAC7E,IAAMC,EAAOD,EAAE,SAAS,EACxB,OAAAA,EAAE,QAAQ,EACHC,CACT,CAAC,CAAC,EACFJ,EAAI,QAAQ,EAEZ,IAAMK,EAAqBJ,EACxB,IAAKK,GAAiB,IAAIC,GAAgBD,CAA4B,CAAC,EAE1E,OAAOP,EAAS,aACZM,EACAA,EAAmB,EACzB,CAEU,qBAA8B,CACtC,MAAO,uBACT,CAEU,yBAAkC,CAC1C,MAAO,IACT,CAEU,0BAAmC,CAC3C,MAAO,EACT,CACF,EC9CO,SAASG,GAAsBC,EAA0C,CAC9E,OAAOA,EAAI,uBAAuBC,EACpC,CAEO,SAASC,GAAmCC,EAAoBC,EAA4D,CAEjI,MAAO,CAAE,GAAGD,EAAW,GADL,CAAE,YAAAC,CAAY,CACI,CACtC,CCFO,SAASC,IAAoBC,EAAuCC,EAA6EC,EAAgB,GAAKC,EAA0B,EACxK,MAAM,QAAQF,CAAe,EAAIA,EAAkB,CAACA,CAAe,GAE3E,QAASG,GAAM,CAElC,IAAMC,EAAOD,aAAaE,GACtBF,EACCG,GAAsBH,CAAC,EAAIA,EAAE,YAAc,OAChD,GAAI,CAACC,EACH,MAAM,IAAI,MAAM,iHAAiH,EAInI,IAAMG,EADSH,EAAK,cAAc,EACF,OAAQI,GAAcA,EAAU,YAAcP,CAAa,EAErFQ,EAASC,GAAoBP,CAAC,EAChCA,EAAE,UAAU,IAAI,WACfD,GAAmB,IAAIS,GAAM,EAAG,CAAC,EAEhB,IAAIC,GACxBL,EAAiB,IAAKC,GAAc,GAAGA,EAAU,eAAeK,GAAML,EAAU,WAAW,IAAI,EAC/FC,CACF,EACc,KAAKV,CAAS,CAC9B,CAAC,CACH,CCpBO,SAASe,GAAoBC,EAA0E,CAC5G,OAAOC,GAAoBD,CAAG,GAEzBA,EAAI,qBAAwBE,IAE5BF,EAAI,8BAAiCE,IAErCF,EAAI,uBAA0BG,EACrC,CAEA,SAASC,IAAmBC,EAAM,CAEhC,IAAMC,EAAU,CAACC,EAAIC,EAAIC,EAAIC,IAAQ,KAAK,MAAMA,EAAKF,EAAIC,EAAKF,CAAE,EAAI,KAAK,GAGnEI,EAAWC,GAAWA,EAAQ,IAAO,KAAK,GAE1CC,EAAQ,CAAE,KAA0B,OAAW,MAA2B,OAAW,IAAyB,MAAU,EAE9H,GAAI,CAACR,GAAQ,CAACA,EAAK,YAAcA,EAAK,WAAW,SAAW,GAAI,OAAOQ,EACvE,IAAMC,EAAKT,EAAK,WAOhBQ,EAAM,KAAO,CAACP,EAAQQ,EAAG,IAAI,GAAIA,EAAG,IAAI,GAAIA,EAAG,IAAI,GAAIA,EAAG,IAAI,EAAE,EAKhED,EAAM,MAAQP,EAAQ,EAAG,KAAK,IAAIQ,EAAG,GAAG,GAAKA,EAAG,IAAI,EAAE,EAAIA,EAAG,IAAI,GAAI,KAAK,GAAI,KAAK,IAAIA,EAAG,IAAI,GAAKA,EAAG,IAAI,EAAE,EAAIA,EAAG,IAAI,EAAE,EAMzH,IAAMC,EAASD,EAAG,OAAO,CAACE,EAAMC,IAASD,EAAOC,EAAI,GAAKD,EAAOC,EAAI,GAAK,GAAS,EAC5EC,EAAMJ,EAAG,OAAO,CAACE,EAAMC,IAASD,EAAOC,EAAI,GAAKD,EAAOC,EAAI,GAAK,IAAS,EAC/E,OAAAJ,EAAM,IAAM,KAAK,IAAMR,EAAK,SAAS,SAAWa,EAAMH,GAAU,IAAO,GAEhEF,CACT,CAEO,SAASM,GAAwHC,EAAoBC,EAAgF,CAC1O,GAAM,CAAE,IAAKC,CAAM,EAAIF,EAAU,UAC3BG,EAAYF,EAAmB,QAAwBC,EAAM,EAAGA,EAAM,CAAC,EACvEE,EAAOD,EAAU,MAAM,EACvB,CAAE,UAAAE,CAAU,EAAIL,EAAU,UAC1BM,EAAc,IAAIvB,GAAciB,EAAU,UAAU,MAAOI,EAAK,QAAQC,EAAU,QAAQ,CAAC,EAAGA,CAAS,EACvGZ,EAAQT,IAAmBiB,CAAkB,EASnD,MAAO,CAAE,GAAGD,EAAW,GAPL,CAChB,UAAAG,EACA,mBAAAF,EACA,YAAAK,EACA,MAAAb,CACF,CAEoC,CACtC,CCzDO,IAAMc,GAAN,KAA+B,CAapC,YAAYC,EAAqC,CAAC,EAAG,CACnD,GAAM,CACJ,UAAAC,EAAY,GAAM,WAAAC,EAAa,GAAM,UAAAC,EAAW,UAAAC,EAAW,UAAAC,EAAW,WAAAC,CACxE,EAAIN,EACJ,KAAK,UAAYC,EACjB,KAAK,WAAaC,EAClB,KAAK,UAAYC,GAAa,EAC9B,KAAK,UAAYE,GAAa,EAC9B,KAAK,UAAYD,GAAa,uBAC9B,KAAK,WAAaE,GAAc,sBAClC,CACF,EAEaC,GAAN,KAAwB,CAK7B,YACEC,EACAR,EAAqC,CAAC,EACtC,CACA,KAAK,cAAgBQ,EACrB,KAAK,QAAU,IAAIT,GAAyBC,CAAO,CACrD,CAEA,KAAKS,EAAkE,CACrE,IAAMC,EAAMC,GAAoBF,CAAS,EAEnC,CACJ,UAAAR,EAAW,WAAAC,EAAY,UAAAC,EAAW,UAAAC,EAAW,UAAAC,EAAW,WAAAC,CAC1D,EAAI,KAAK,QAcT,GAZIL,GAAa,KAAK,yBAAyBW,KAC7CF,EAAI,YAAcN,EAClBM,EAAI,UAAYP,EAChBU,GAAYH,EAAK,KAAK,cAAc,cAAc,CAAC,EACnDG,GAAYH,EAAK,KAAK,cAAc,eAAe,CAAC,EACpDG,GAAYH,EAAK,KAAK,cAAc,gBAAgB,CAAC,EACrDG,GAAYH,EAAK,KAAK,cAAc,QAAQ,CAAC,EAC7CG,GAAYH,EAAK,KAAK,cAAc,WAAW,EAAG,EAAI,EACtDG,GAAYH,EAAK,KAAK,cAAc,YAAY,EAAG,EAAI,EACvDG,GAAYH,EAAK,KAAK,cAAc,SAAS,EAAG,EAAI,GAGlDR,EAAY,CACdQ,EAAI,YAAcJ,EAClBI,EAAI,UAAYJ,EAEhB,IAAMQ,EAAaC,GAAe,CAChCL,EAAI,UAAU,EACdA,EAAI,IAAIK,EAAG,EAAGA,EAAG,EAAGV,EAAW,EAAG,EAAI,KAAK,EAAE,EAC7CK,EAAI,KAAK,CACX,EACA,KAAK,cAAc,UAAU,QAAQI,CAAS,CAChD,CACF,CACF,EAIO,SAASE,IACdP,EACAD,EACA,EAC2B,MAAM,QAAQA,CAAa,EAAIA,EAAgB,CAACA,CAAa,GACrE,QAASS,GAAM,CAEhC,IAAMC,EAAYD,aAAaE,GAC3BF,EACCG,GAAoBH,CAAC,EAAIA,EAAE,UAAY,OAC5C,GAAI,CAACC,EACH,MAAM,IAAI,MAAM,8HAA8H,EAGhJ,IAAIX,GAAkBW,CAAS,EAAE,KAAKT,CAAS,CACjD,CAAC,CACH,gBCvGA,SAASY,IAAkBC,EAAwCC,EAA+B,CAChG,IAAMC,EAAoBC,GAAyBH,EAAgBC,CAAa,EAC1EG,EAA6BC,GAAkCL,EAAgBC,CAAa,EAElG,SAASK,EAA4BC,EAAoBC,EAAqBC,EAA4C,CACxH,IAAMC,EAAkBN,EAA2BG,EAAYC,EAAa,GAAGC,mBAA8B,EACvGE,EAAkBP,EAA2BI,EAAaA,EAAa,GAAGC,mBAA8B,EACxGG,EAAiBV,EAAkBK,EAAYC,EAAa,EAAG,GAAGC,kBAA6B,EAErG,MAAO,CAAE,gBAAAC,EAAiB,gBAAAC,EAAiB,eAAAC,CAAe,CAC5D,CAEA,SAASC,EAAuBC,EAAkBL,EAAuC,CACvF,IAAMC,EAAkBN,EAA2BU,EAAUA,EAAU,GAAGL,mBAA8B,EAClGE,EAAkBP,EAA2BU,EAAUA,EAAU,GAAGL,mBAA8B,EAClGM,EAAkBX,EAA2BU,EAAUA,EAAU,GAAGL,mBAA8B,EAExG,MAAO,CAAE,gBAAAC,EAAiB,gBAAAC,EAAiB,gBAAAI,CAAgB,CAC7D,CAEA,MAAO,CACL,kBAAAb,EACA,2BAAAE,EACA,4BAAAE,EACA,uBAAAO,CACF,CACF,CAEO,SAASG,GAAcC,EAAuBC,EAAsF,CACzI,IAAMjB,EAAgC,CAAC,EAEjC,CACJ,eAAAD,EACA,oBAAAmB,CACF,EAAIC,GAAsBH,CAAO,EAE3B,CACJ,kBAAAf,EACA,2BAAAE,EACA,4BAAAE,EACA,uBAAAO,CACF,EAAId,IAAkBC,EAAgBC,CAAa,EAE7CoB,EAAqBnB,EAAkB,EAAG,GAAI,EAAG,oBAAoB,EACrEoB,EAA+BhB,EAA4B,GAAI,GAAI,8BAA8B,EACjGiB,EAA+BjB,EAA4B,GAAI,IAAK,8BAA8B,EAElGkB,EAAa,CACjB,QAASH,EACT,kBAAmBC,EACnB,kBAAmBC,CACrB,EAEME,EAAc,CAAC,EACrBC,GAAMR,EAAe,EAAG,CAAC,EAAE,QAASS,GAAQ,CAC1CF,EAAY,cAAcE,KAASd,EAAuB,IAAK,0BAA0Bc,GAAK,CAChG,CAAC,EAED,IAAMC,EAA4BtB,EAA4B,IAAK,IAAK,2BAA2B,EAC7FuB,EAA2BzB,EAA2B,IAAK,IAAK,0BAA0B,EAE1F0B,EAAY,CAChB,gBAAiBF,EACjB,eAAgBC,CAClB,EAEA,GAAIV,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAGlF,MAAO,CACL,cAAAlB,EACA,OAAQ,CAAE,WAAAuB,EAAY,YAAAC,EAAa,UAAAK,CAAU,CAC/C,CACF,CCxEA,SAASC,IAAkBC,EAAgBC,EAA+B,CACxE,IAAMC,EAAqBC,GAA0BH,EAAWC,CAAa,EAEvEG,EAAoBC,GAAsBH,CAAkB,EAC5DI,EAA6BC,GAA+BL,CAAkB,EAEpF,SAASM,EAA4BC,EAA4C,CAC/E,IAAMC,EAAkBJ,EAA2B,GAAGG,mBAA8B,EAC9EE,EAAkBL,EAA2B,GAAGG,mBAA8B,EAC9EG,EAAiBR,EAAkB,GAAGK,kBAA6B,EAEzE,MAAO,CAAE,gBAAAC,EAAiB,gBAAAC,EAAiB,eAAAC,CAAe,CAC5D,CAEA,SAASC,EAAuBJ,EAAuC,CACrE,IAAMC,EAAkBJ,EAA2B,GAAGG,mBAA8B,EAC9EE,EAAkBL,EAA2B,GAAGG,mBAA8B,EAC9EK,EAAkBR,EAA2B,GAAGG,mBAA8B,EAEpF,MAAO,CAAE,gBAAAC,EAAiB,gBAAAC,EAAiB,gBAAAG,CAAgB,CAC7D,CAEA,MAAO,CACL,kBAAAV,EACA,2BAAAE,EACA,4BAAAE,EACA,uBAAAK,CACF,CACF,CAEO,SAASE,GACdf,EACAgB,EAC+D,CAC/D,IAAMf,EAAgC,CAAC,EAEjC,CACJ,kBAAAG,EACA,2BAAAE,EACA,4BAAAE,EACA,uBAAAK,CACF,EAAId,IAAkBC,EAAWC,CAAa,EAExCgB,EAAqBb,EAAkB,oBAAoB,EAC3Dc,EAA+BV,EAA4B,8BAA8B,EACzFW,EAA+BX,EAA4B,8BAA8B,EAEzFY,EAAa,CACjB,QAASH,EACT,kBAAmBC,EACnB,kBAAmBC,CACrB,EAEME,EAAc,CAAC,EACrBC,GAAMN,EAAe,EAAG,CAAC,EAAE,QAASO,GAAQ,CAC1CF,EAAY,cAAcE,KAASV,EAAuB,0BAA0BU,GAAK,CAC3F,CAAC,EAED,IAAMC,EAA4BhB,EAA4B,2BAA2B,EACnFiB,EAA2BnB,EAA2B,0BAA0B,EAEhFoB,EAAY,CAChB,gBAAiBF,EACjB,eAAgBC,CAClB,EAEA,OAAAE,GAA2B3B,EAAWC,CAAa,EAE5C,CAAE,OAAQ,CAAE,WAAAmB,EAAY,YAAAC,EAAa,UAAAK,CAAU,EAAG,cAAAzB,CAAc,CACzE,CCjEA,SAAS2B,GAAKC,EAAgBC,EAAoBC,EAAuC,CACvF,OAAUC,EAAOC,GAAOJ,EAAGC,EAAO,QAASC,EAAQ,MAAM,EAAGD,EAAO,IAAI,CACzE,CAEA,SAASI,GAAeL,EAAgBC,EAA8BK,EAAkB,GAAmB,CACzG,IAAIC,EAAMD,EAAqBE,GAAKR,CAAC,EAAIA,EACzC,OAAAO,EAAME,GAAuBF,EAAKN,EAAO,gBAAiB,CAAC,EAAG,CAAC,CAAC,EAChEM,EAAME,GAA0BD,GAAKD,CAAG,EAAGN,EAAO,gBAAiB,CAAC,EAAG,CAAC,CAAC,EACzEM,EAASG,GAAQH,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAASJ,EAAII,EAAKR,GAAKC,EAAGC,EAAO,eAAgB,CAAC,EAAG,CAAC,CAAC,CAAC,EACjDM,CACT,CAEA,SAASI,IAAUX,EAAgBC,EAAsC,CACvE,IAAIM,EAAME,GAA0BD,GAAKR,CAAC,EAAGC,EAAO,gBAAiB,CAAC,EAAG,CAAC,CAAC,EAC3E,OAAAM,EAAME,GAA0BD,GAAKD,CAAG,EAAGN,EAAO,gBAAiB,CAAC,EAAG,CAAC,CAAC,EACzEM,EAAME,GAA0BD,GAAKD,CAAG,EAAGN,EAAO,gBAAiB,CAAC,EAAG,CAAC,CAAC,EACzEM,EAASJ,EAAII,EAAKP,CAAC,EACZO,CACT,CAEO,IAAMK,GAAN,cAA2BC,EAAkC,CAGlE,YAAYC,EAAuB,CACjC,MAAM,cAAc,EACpB,KAAK,eAAiBA,CACxB,CAEO,aAAaC,EAA8B,CAChD,GAAM,CAAE,OAAAd,CAAO,EAAI,KACnB,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,4CAA4C,EAE9D,OAAUe,EAAK,IAAM,CACnB,IAAMC,EAAiBC,GAAKH,EAAM,cAAc,IAAK,EAAI,EAAG,SAAS,EAE/DI,EAAaC,GAAUH,EADb,CAAC,QAAS,QAAS,OAAO,CACO,EAAE,IAAI,GAAG,EACtDV,EAASC,GAAKT,GAAKoB,EAAYlB,EAAO,WAAW,QAAS,CAAC,EAAG,CAAC,CAAC,CAAC,EACrE,OAAAM,EAAMF,GAAeE,EAAKN,EAAO,WAAW,kBAAmB,EAAK,EACpEM,EAAMF,GAAeE,EAAKN,EAAO,WAAW,iBAAiB,EAC7DoB,GAAM,KAAK,eAAgB,EAAG,CAAC,EAAE,QAASC,GAAQ,CAChDf,EAAMI,IAAUJ,EAAKN,EAAO,YAAY,cAAcqB,IAAM,CAC9D,CAAC,EACDf,EAAMF,GAAeE,EAAKN,EAAO,UAAU,eAAe,EAC1DM,EAASC,GAAKC,GAAuBF,EAAKN,EAAO,UAAU,eAAgB,CAAC,EAAG,CAAC,CAAC,CAAC,EAC3EM,CACT,CAAC,CACH,CAEA,MAAa,QAAQQ,EAAwC,CAC3D,OAAO,KAAK,aAAa,MAAMQ,GAAWR,CAAK,CAAC,CAClD,CAEU,qBAA8B,CACtC,MAAO,qBACT,CAEU,2BAA2BS,EAA8B,CACjE,OAAOC,GAA2BD,EAAW,KAAK,cAAc,CAClE,CAEU,cAAcE,EAAuB,CAC7C,OAAOC,GAAcD,EAAS,KAAK,cAAc,CACnD,CACF,ECzEO,SAASE,GAAcC,EAA6E,CACzG,IAAMC,EAAgC,CAAC,EAEjC,CACJ,eAAAC,EACA,oBAAAC,CACF,EAAIC,GAAsBJ,CAAO,EAE3BK,EAAkBC,GAAuBJ,EAAgBD,CAAa,EAEtEM,EAAMF,EAAgB,IAAK,EAAG,QAAQ,EACtCG,EAASH,EAAgB,IAAK,EAAG,WAAW,EAElD,GAAIF,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAGlF,MAAO,CACL,cAAAF,EACA,OAAQ,CAAE,GAAI,CAAE,IAAAM,EAAK,OAAAC,CAAO,CAAE,CAChC,CACF,CCnBO,SAASC,GACdC,EACsD,CACtD,IAAMC,EAAgC,CAAC,EAEjCC,EAAqBC,GAA0BH,EAAWC,CAAa,EAE7E,SAASG,EAAgBC,EAA0B,CACjD,IAAMC,EAAUJ,EAAmB,GAAGG,YAAkB,CAAC,EACnDE,EAAOL,EAAmB,GAAGG,SAAe,CAAC,EACnD,MAAO,CAAE,QAAAC,EAAS,KAAAC,CAAK,CACzB,CAEA,IAAMC,EAAS,CACb,GAAI,CACF,IAAKJ,EAAgB,QAAQ,EAC7B,OAAQA,EAAgB,WAAW,CACrC,CACF,EAEA,OAAAK,GAA2BT,EAAWC,CAAa,EAE5C,CAAE,OAAAO,EAAQ,cAAAP,CAAc,CACjC,CCvBO,IAAKS,QAEVA,EAAA,OAAS,SAETA,EAAA,KAAO,OAJGA,QAAA,ICKL,IAAMC,GAAN,cAA2BC,EAAyB,CAGzD,YAAYC,EAAqC,IAAIC,GAAa,CAAC,EAAG,CACpE,MAAM,cAAc,EACpB,KAAK,sBAAwBD,CAC/B,CAEA,IAAW,sBAAqC,CAC9C,OAAO,KAAK,qBACd,CAEO,OAAOE,EAA0C,CACtD,GAAM,CAAE,OAAAC,CAAO,EAAI,KAEnB,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,GAAG,KAAK,qCAAqC,EAG/D,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAqBH,aAAiBI,GACxC,KAAK,qBAAqB,aAAaJ,CAAK,EAC5CA,EAEEK,EAAYC,GAAQH,EAAoB,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,OAAO,EAAE,KAAKA,EAAmB,MAAM,GAAI,EAAE,EACrGI,EAAMC,GAAoBH,EAAQJ,EAAO,GAAG,GAAG,EAAE,KAAK,EACtDQ,EAASD,GAAoBH,EAAQJ,EAAO,GAAG,MAAM,EAC3D,MAAO,CAAE,IAAAM,EAAK,OAAAE,CAAO,CACvB,CAAC,CACH,CAEO,aAAaT,EAA0C,CAC5D,OAAUE,EAAK,IAAM,CACnB,GAAM,CAAE,IAAAK,EAAK,OAAAE,CAAO,EAAI,KAAK,OAAOT,CAAK,EACzC,MAAO,CAAE,IAAAO,EAAK,OAAWG,GAAQD,CAAM,CAAE,CAC3C,CAAC,CACH,CAEA,MAAa,QAAQT,EAAsC,CACzD,OAAO,KAAK,aAAa,MAAMW,GAAWX,CAAK,CAAC,CAClD,CAEA,MAAa,oBAAoBA,EAA8E,CAC7G,IAAMY,EAAW,MAAMD,GAAWX,CAAK,EACjCa,EAAM,MAAM,KAAK,aAAaD,CAAQ,EAEtCE,EAAUC,GAAQF,EAAI,GAAG,EACzBG,EAAaD,GAAQF,EAAI,MAAM,EAC/BI,EAAsBH,EAAK,IAAI,CAACI,EAAWC,KAAO,CACtD,UAAAD,EACA,aAAcF,EAAQG,EACxB,EAAE,EAEIC,EAAqB,MAAM,QAAQ,IACvCH,EAAoB,IAAI,MAAO,CAAE,UAAAC,EAAW,aAAAG,CAAa,IAAM,CAC7D,IAAMd,EAAOW,EAAU,SAAS,EAAG,GAC7BI,EAAYD,EAAa,SAAS,EAAG,GACrCE,EAASD,EAAW,GACpBb,EAASc,kBACTC,EAAoBD,EAASD,EAAY,EAAIA,EAEnD,OAAAJ,EAAU,QAAQ,EAClBG,EAAa,QAAQ,EACd,CAAE,IAAAd,EAAK,OAAAE,EAAQ,kBAAAe,CAAkB,CAC1C,CAAC,CACH,EACA,OAAAX,EAAI,IAAI,QAAQ,EAChBA,EAAI,OAAO,QAAQ,EAEZD,EAAS,aAAeQ,EAAiDA,EAAmB,EACrG,CAEU,qBAA8B,CACtC,MAAO,kBACT,CAEgB,QAAQK,EAAmB,GAAM,CAC/C,KAAK,qBAAqB,QAAQA,CAAgB,EAClD,MAAM,QAAQA,CAAgB,CAChC,CAEO,qBAAqBC,EAAuB,CACjD,GAAM,CAAE,OAAAzB,EAAQ,cAAA0B,CAAc,EAAI,KAAK,wBAAwBD,CAAO,EACtE,KAAK,QAAUzB,EACf,KAAK,eAAiB0B,CACxB,CAEO,wBAAwBD,EAAuB,CACpD,OAAOE,GAAcF,CAAO,CAC9B,CAEU,2BAA2BG,EAA8B,CACjE,GAAM,CAAE,oBAAAC,EAAqB,cAAAC,CAAc,EAAIC,GAAmBH,CAAS,EAE3E,YAAK,qBAAqB,kBAAkBC,CAAmB,EAExDG,GAA2BF,CAAa,CACjD,CAEU,cAAcL,EAAuB,CAG7C,IAAMQ,EAA0BR,EAAQ,MAAM,EAAGA,EAAQ,OAAS,IAAoB,EAChFS,EAAoBT,EAAQ,MAAMA,EAAQ,OAAS,IAAoB,EAE7E,YAAK,qBAAqB,eAAeQ,CAAuB,EACzD,KAAK,wBAAwBC,CAAiB,CACvD,CACF,EC7GO,IAAeC,GAAf,cAGGC,EAAgC,CACjC,YAAYC,EAAqBC,EAAmBC,EAAgD,CACzG,IAAMC,EAAkBD,EAAmB,IAAI,CAAC,CAAE,MAAAE,EAAO,OAAAC,CAAO,IAAM,CACpE,IAAMC,EAAQL,EAAY,KAAK,IAAII,EAAQD,CAAK,EAChD,MAAO,CACL,MAAOA,EAAQE,EACf,OAAQD,EAASC,CACnB,CACF,CAAC,EAEKC,EAAYJ,EAAgB,OAElC,OAAUK,EAAK,IAAM,CACnB,IAAMC,EAA0B,CAACC,EAAeC,IAAqBC,GAAM,CAAIC,GAAK,CAAC,EAAE,EAAGH,EAAO,SAAS,EAAMG,GAAK,CAAC,EAAE,EAAGF,EAAO,SAAS,CAAC,EAAG,CAAC,EAAE,KAAK,EAAG,GAAG,EAAE,KAAK,EAG9JG,EAAa,CAACC,EAAkBC,IAAoD,CACxF,GAAM,CAAE,MAAAZ,EAAO,OAAAC,CAAO,EAAIF,EAAgBY,GAC1C,OAAOC,EAAKZ,EAAOC,CAAM,EAAI,KAAK,IAAID,EAAQC,CAAM,EAAI,EAAI,CAC9D,EAEMY,EAAeF,GAAqBD,EAAWC,EAAU,CAACG,EAAG,IAAMA,EAAI,CAAC,EACxEC,EAAeJ,GAAqBD,EAAWC,EAAU,CAACG,EAAG,IAAM,EAAIA,CAAC,EAa9E,OAXwBlB,EACrB,IAAOa,GAAK,CAACN,EAAW,GAAG,EAAGN,EAAW,SAAS,CAAC,EACnD,IAAOW,GAAM,MAAM,KAAK,MAAML,CAAS,EAAG,CAACa,EAAGL,IAAaN,EAC1DQ,EAAYF,CAAQ,EACpBI,EAAYJ,CAAQ,CACtB,CAAC,CAAC,CAAC,EACF,IAAOH,GAAM,MAAM,KAAK,MAAML,CAAS,EAAG,CAACa,EAAGL,IAAaN,EAC1DN,EAAgBY,GAAU,MAC1BZ,EAAgBY,GAAU,MAC5B,CAAC,CAAC,CAAC,CAGP,CAAC,CACH,CAEO,aAAaM,EAA8B,CAChD,OAAUb,EAAK,IAAM,CACnB,IAAMc,EAAM,KAAK,OAAOD,CAAK,EAC7B,OAAO,KAAK,YACVC,EACAD,EAAM,UACNA,EAAM,gBAAgB,IAAI,CAAC,CAAChB,EAAQD,CAAK,KAAO,CAAE,OAAAC,EAAQ,MAAAD,CAAM,EAAE,CACpE,CACF,CAAC,CACH,CAEA,MAAa,QAAQiB,EAAwC,CAC3D,OAAO,KAAK,aAAa,MAAME,GAAWF,CAAK,CAAC,CAClD,CAEA,MAAa,gBAAgBA,EAAgE,CAC3F,IAAMG,EAAW,MAAMD,GAAWF,CAAK,EACjCI,EAAqBjB,EACzB,IAASkB,GAAQ,KAAK,aAAaF,CAAQ,CAAC,CAC9C,EAEMG,EAAoB,MAAM,QAAQ,IAAIF,EAAgB,IAC1D,MAAOG,EAAgBb,IAAa,CAClC,IAAMc,EAAiB,MAAM,KAAKD,EAAe,SAAS,CAAC,EACrDE,EAAUD,EAAe,OAAO,CAACT,EAAGW,IAAMC,GAAOD,CAAC,CAAC,EACnDE,EAAUJ,EAAe,OAAO,CAACT,EAAGW,IAAM,CAACC,GAAOD,CAAC,CAAC,EAE1D,OAAO,IAAIG,GACT,MAAM,EAAE,EAAE,KAAK,CAAC,EAAE,IAAI,CAACd,EAAGW,IAAM,IAAII,GAAML,EAAQC,GAAcE,EAAQF,EAAY,CAAC,EACrF,CACE,OAAQP,EAAS,eAAeT,CAAQ,EACxC,MAAOS,EAAS,cAAcT,CAAQ,CACxC,CACF,CACF,CACF,CAAC,EAED,OAAAU,EAAgB,QAASW,GAAMA,EAAE,QAAQ,CAAC,EAEnCZ,EAAS,aAAeG,EAAyCA,EAAkB,EAC5F,CAEU,0BAAmC,CAC3C,MAAO,IACT,CACF,EC5FO,IAAMU,GAAN,cAAgCC,EAAkD,CACvF,YAAYC,EAA6C,IAAIC,GAAwB,CACnF,MAAM,oBAAqBD,CAAoB,CACjD,CAEU,qBAA8B,CACtC,MAAO,wBACT,CAEU,yBAAkC,CAC1C,MAAO,IACT,CACF,ECVO,SAASE,GACdC,EAC2E,CAC3E,IAAMC,EAAgC,CAAC,EAEjC,CACJ,yBAAAC,CACF,EAAIC,GAAkBH,EAAWC,CAAa,EAExCG,EAAS,CACb,OAAQF,EAAyB,SAAU,EAAI,EAC/C,OAAQA,EAAyB,QAAQ,EACzC,OAAQA,EAAyB,QAAQ,CAC3C,EAEA,OAAAG,GAA2BL,EAAWC,CAAa,EAE5C,CAAE,OAAAG,EAAQ,cAAAH,CAAc,CACjC,CCpBO,SAASK,GAAkBC,EAAkG,CAClI,IAAMC,EAAgC,CAAC,EAEjC,CACJ,eAAAC,EACA,oBAAAC,CACF,EAAIC,GAAsBJ,CAAO,EAE3B,CACJ,yBAAAK,CACF,EAAIC,GAAkBJ,EAAgBD,CAAa,EAE7CM,EAASF,EAAyB,EAAG,GAAI,SAAU,EAAI,EACvDG,EAASH,EAAyB,GAAI,GAAI,QAAQ,EAClDI,EAASJ,EAAyB,GAAI,IAAK,QAAQ,EAEzD,GAAIF,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAGlF,MAAO,CACL,cAAAF,EACA,OAAQ,CAAE,OAAAM,EAAQ,OAAAC,EAAQ,OAAAC,CAAO,CACnC,CACF,CClBO,IAAMC,GAAN,cAAuCC,EAA+G,CAC3J,aAAc,CACZ,MAAM,0BAA0B,CAClC,CAEO,aAAaC,EAA8B,CAChD,GAAM,CAAE,OAAAC,CAAO,EAAI,KAEnB,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,wDAAwD,EAG1E,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAiBC,GAAKJ,EAAM,cAAc,IAAK,EAAI,EAAG,SAAS,EAE/DK,EAAaC,GAAUH,EADb,CAAC,QAAS,QAAS,OAAO,CACO,EAAE,IAAI,GAAG,EAEtDI,EAAMC,GAAYH,EAAYJ,EAAO,OAAQ,EAAI,EACrD,OAAAM,EAAMC,GAAYD,EAAKN,EAAO,MAAM,EACpCM,EAAMC,GAAYD,EAAKN,EAAO,MAAM,EACpCM,EAASE,GAAQF,EAAK,CAAC,GAAI,EAAE,EAAG,CAAC,EAAG,CAAC,EAAG,OAAO,EAExCA,CACT,CAAC,CACH,CAEA,MAAa,QAAQP,EAAwC,CAC3D,OAAO,KAAK,aAAa,MAAMU,GAAWV,CAAK,CAAC,CAClD,CAEU,qBAA8B,CACtC,MAAO,mCACT,CAEU,2BAA2BW,EAA8B,CACjE,OAAOC,GAA+BD,CAAS,CACjD,CAEU,cAAcE,EAAuB,CAC7C,OAAOC,GAAkBD,CAAO,CAClC,CACF,EC/CO,IAAME,GAAN,cAAoCC,EAAsD,CAC/F,YAAYC,EAAiD,IAAIC,GAA4B,CAC3F,MAAM,wBAAyBD,CAAoB,CACrD,CAEU,qBAA8B,CACtC,MAAO,6BACT,CAEU,yBAAkC,CAC1C,MAAO,IACT,CACF,ECZO,IAAME,GAAN,cAA8BC,EAAkB,CAAC,ECAjD,SAASC,GAAMC,EAAgBC,EAAuC,CAC3E,OAAUC,EAAOC,EAAIH,EAAGC,EAAO,OAAO,EAAGA,EAAO,MAAM,CACxD,CCDA,SAASG,GACPC,EACAC,EACAC,EACAC,EACAC,EAA4B,OACf,CACb,GAAM,CAAE,QAAAC,EAAS,KAAAC,CAAK,EAAIL,EAAO,KAE7BM,EAASC,GAAOR,EAAGK,EAASH,EAASE,CAAO,EAChD,OAAAG,EAASE,EAAIF,EAAKD,CAAI,EACtBC,EAAMG,GAAMH,EAAKN,EAAO,KAAK,EACtBE,EAAcQ,GAAKJ,CAAG,EAAIA,CACnC,CAEO,SAASK,GAAKZ,EAAgBC,EAAyB,CAC5D,OAAOF,GAAUC,EAAGC,EAAQ,CAAC,EAAG,CAAC,EAAG,EAAI,CAC1C,CAEO,SAASY,GAAWb,EAAgBC,EAAyB,CAClE,OAAOF,GAAUC,EAAGC,EAAQ,CAAC,EAAG,CAAC,EAAG,EAAK,CAC3C,CAEO,SAASa,GAASd,EAAgBC,EAAyB,CAChE,OAAOF,GAAUC,EAAGC,EAAQ,CAAC,EAAG,CAAC,EAAG,GAAM,OAAO,CACnD,CCxBA,SAASc,IAAkBC,EAAwCC,EAA+B,CAChG,SAASC,EAAoBC,EAAyBC,EAAoBC,EAAiC,CACzG,IAAMC,EAAUN,EAAeG,CAAe,EACxCI,EAAQD,EAAQ,QAAUF,EAAaC,EAAaA,GAE1D,GAAIG,GAAQD,CAAK,EACf,MAAM,IAAI,MAAM,+BAA+BA,sBAA0BD,EAAQ,uBAAuBF,kBAA2BC,GAAY,EAGjJ,OAAUI,EACR,IAASC,GACJC,GAASL,EAAS,CAACF,EAAYG,EAAOF,EAAYA,CAAU,CAAC,EAChE,CAAC,EAAG,EAAG,EAAG,CAAC,CACb,CACF,CACF,CAEA,SAASO,EACPT,EACAC,EACAC,EACAQ,EACY,CACZ,IAAMC,EAAUZ,EAAoBC,EAAiBC,EAAYC,CAAU,EACrEU,EAAUC,GAAShB,EAAeI,CAAU,CAAC,EAEnD,OAAAH,EAAc,KACZ,CAAE,UAAW,GAAGY,WAAuB,EACvC,CAAE,UAAW,GAAGA,QAAoB,CACtC,EAEO,CAAE,QAAAC,EAAS,KAAAC,CAAK,CACzB,CAEA,SAASE,EAAwBC,EAAoBL,EAAwC,CAC3F,IAAMP,EAAaU,GAAShB,EAAekB,CAAU,CAAC,EAChDC,EAAYH,GAAShB,EAAekB,CAAU,CAAC,EAErD,OAAAjB,EAAc,KACZ,CAAE,UAAW,GAAGY,WAAuB,EACvC,CAAE,UAAW,GAAGA,UAAsB,CACxC,EAEO,CACL,QAAAP,EACA,OAAAa,CACF,CACF,CAEA,SAASC,EACPjB,EACAC,EACAC,EACAQ,EACiB,CACjB,IAAMQ,EAAOT,EAAkBT,EAAiBC,EAAYC,EAAY,GAAGQ,QAAmB,EACxFS,EAAQL,EAAwBb,EAAY,GAAGS,SAAoB,EAEzE,MAAO,CAAE,KAAAQ,EAAM,MAAAC,CAAM,CACvB,CAEA,SAASC,EACPpB,EACAC,EACAC,EACAQ,EACAW,EAAS,GACY,CACrB,IAAMC,EAAQL,GAAwBI,EAAS,GAAM,GAAKrB,EAAiBC,EAAYC,EAAY,GAAGQ,SAAoB,EACpHa,EAAQN,EAAuBjB,EAAiBC,EAAYC,EAAY,GAAGQ,SAAoB,EAErG,MAAO,CAAE,MAAAY,EAAO,MAAAC,CAAM,CACxB,CAEA,MAAO,CACL,uBAAAN,EACA,2BAAAG,CACF,CACF,CAEO,SAASI,GAAcrB,EAA6E,CACzG,GAAM,CACJ,eAAAN,EACA,oBAAA4B,CACF,EAAIC,GAAsBvB,CAAO,EAE3BL,EAAgC,CAAC,EAEjC,CACJ,uBAAAmB,EACA,2BAAAG,CACF,EAAIxB,IAAkBC,EAAgBC,CAAa,EAE7C6B,EAAcV,EAAuB,KAAM,GAAI,EAAG,aAAa,EAC/DW,EAAWR,EAA2B,KAAM,GAAI,EAAG,UAAU,EAC7DS,EAAWT,EAA2B,KAAM,GAAI,EAAG,UAAU,EAC7DU,EAAWV,EAA2B,KAAM,GAAI,EAAG,UAAU,EAE7DW,EAAcX,EAA2B,MAAO,GAAI,EAAG,cAAe,EAAI,EAC1EY,EAAWZ,EAA2B,MAAO,GAAI,EAAG,UAAU,EAC9Da,EAAWb,EAA2B,MAAO,GAAI,EAAG,UAAU,EAC9Dc,EAAWd,EAA2B,MAAO,GAAI,EAAG,UAAU,EAE9De,EAAef,EAA2B,OAAQ,IAAK,EAAG,eAAgB,EAAI,EAC9EgB,EAAYhB,EAA2B,OAAQ,IAAK,EAAG,WAAW,EAClEiB,EAAYjB,EAA2B,OAAQ,IAAK,EAAG,WAAW,EAElEkB,EAAelB,EAA2B,OAAQ,IAAK,EAAG,eAAgB,EAAI,EAC9EmB,EAAYnB,EAA2B,OAAQ,IAAK,EAAG,WAAW,EAClEoB,EAAYpB,EAA2B,OAAQ,IAAK,EAAG,WAAW,EAClEqB,EAAmBrB,EAA2B,OAAQ,IAAK,EAAG,kBAAkB,EAEhFsB,EAAQpC,EACZ,IAASC,GAAaoC,GAAS9C,EAAe,IAAM,GAAG,EAAG,CAAC,IAAK,GAAG,CAAC,EAAG,CAAC,EAAG,CAAC,CAAC,CAC/E,EAGA,GAFAC,EAAc,KAAK,CAAE,UAAW,IAAK,CAAC,EAElC2B,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAsBlF,MAAO,CAAE,OAnBM,CACb,YAAAE,EACA,SAAAC,EACA,SAAAC,EACA,SAAAC,EACA,YAAAC,EACA,SAAAC,EACA,SAAAC,EACA,SAAAC,EACA,aAAAC,EACA,UAAAC,EACA,UAAAC,EACA,aAAAC,EACA,UAAAC,EACA,UAAAC,EACA,iBAAAC,EACA,GAAAC,CACF,EAEiB,cAAA5C,CAAc,CACjC,CC7IA,SAAS8C,IAAkBC,EAAgBC,EAA+B,CACxE,IAAMC,EAAqBC,GAA0BH,EAAWC,CAAa,EAE7E,SAASG,EAAwBC,EAAkC,CACjE,IAAMC,EAAUJ,EAAmB,GAAGG,kBAAwB,CAAC,EACzDE,EAASL,EAAmB,GAAGG,iBAAuB,CAAC,EAE7D,MAAO,CAAE,QAAAC,EAAS,OAAAC,CAAO,CAC3B,CAEA,SAASC,EAAuBH,EAAiC,CAC/D,IAAMI,EAAUP,EAAmB,GAAGG,iBAAuB,CAAC,EACxDK,EAAOR,EAAmB,GAAGG,cAAoB,CAAC,EAClDM,EAAQP,EAAwBC,CAAM,EAE5C,MAAO,CAAE,KAAM,CAAE,QAAAI,EAAS,KAAAC,CAAK,EAAG,MAAAC,CAAM,CAC1C,CAEA,SAASC,EAA2BP,EAAqC,CACvE,MAAO,CACL,MAAOG,EAAuB,GAAGH,SAAc,EAC/C,MAAOG,EAAuB,GAAGH,SAAc,CACjD,CACF,CAEA,MAAO,CACL,uBAAAG,EACA,2BAAAI,CACF,CACF,CAEO,SAASC,GACdb,EACsD,CACtD,IAAMC,EAAgC,CAAC,EAEjC,CACJ,uBAAAO,EACA,2BAAAI,CACF,EAAIb,IAAkBC,EAAWC,CAAa,EAExCa,EAAcN,EAAuB,aAAa,EAClDO,EAAWH,EAA2B,UAAU,EAChDI,EAAWJ,EAA2B,UAAU,EAChDK,EAAWL,EAA2B,UAAU,EAEhDM,EAAcN,EAA2B,aAAa,EACtDO,EAAWP,EAA2B,UAAU,EAChDQ,EAAWR,EAA2B,UAAU,EAChDS,EAAWT,EAA2B,UAAU,EAEhDU,EAAeV,EAA2B,cAAc,EACxDW,EAAYX,EAA2B,WAAW,EAClDY,EAAYZ,EAA2B,WAAW,EAElDa,EAAeb,EAA2B,cAAc,EACxDc,EAAYd,EAA2B,WAAW,EAClDe,EAAYf,EAA2B,WAAW,EAClDgB,EAAmBhB,EAA2B,kBAAkB,EAEhE,CAAE,GAAAiB,CAAG,EAAI7B,EAGf,GAFAC,EAAc,KAAK,CAAE,aAAc,KAAM,UAAW,IAAK,CAAC,EAEtD,CAAC6B,GAAWD,CAAE,EAChB,MAAM,IAAI,MAAM,yDAAyDA,GAAI,EAG/E,IAAME,EAAS,CACb,YAAAjB,EACA,SAAAC,EACA,SAAAC,EACA,SAAAC,EACA,YAAAC,EACA,SAAAC,EACA,SAAAC,EACA,SAAAC,EACA,aAAAC,EACA,UAAAC,EACA,UAAAC,EACA,aAAAC,EACA,UAAAC,EACA,UAAAC,EACA,iBAAAC,EACA,GAAAC,CACF,EAEA,OAAAG,GAA2BhC,EAAWC,CAAa,EAE5C,CAAE,OAAA8B,EAAQ,cAAA9B,CAAc,CACjC,CC1FO,SAASgC,GAASC,EAAgBC,EAA0C,CACjF,IAAIC,EAAMC,GAAKH,EAAGC,EAAO,KAAK,EAC9B,OAAAC,EAAME,GAAWF,EAAKD,EAAO,KAAK,EAClCC,EAASG,EAAIH,EAAKF,CAAC,EACnBE,EAASI,GAAKJ,CAAG,EACVA,CACT,CAEO,SAASK,GAAaP,EAAgBC,EAA0C,CACrF,IAAIC,EAAMM,GAASR,EAAGC,EAAO,KAAK,EAClCC,EAAME,GAAWF,EAAKD,EAAO,KAAK,EAElC,IAAIQ,EAAYC,GAAQV,EAAG,EAAG,EAAG,OAAO,EAClCW,EAAWC,GAAkBH,EAAO,KAAK,EACzCI,EAAQJ,EAAO,MAAM,KAAOP,EAAI,MAAM,GAG5C,GAFsBO,EAAO,MAAM,KAAOP,EAAI,MAAM,IAAMO,EAAO,MAAM,KAAOP,EAAI,MAAM,GAErE,CACjB,IAAMY,EAAY,CAAC,GAAGZ,EAAI,KAAK,EAC/BY,EAAU,GAAK,EACf,IAAMC,EAAYH,GAAkBE,CAAS,EAC7CZ,EAASc,GAAO,CAACd,EAAKa,CAAM,EAAG,CAAC,EAEhC,IAAME,EAAY,CAAC,GAAGf,EAAI,KAAK,EAC/Be,EAAU,GAAK,EACf,IAAMC,EAAYN,GAAkBK,CAAS,EAC7Cf,EAASc,GAAO,CAACd,EAAKgB,CAAM,EAAG,CAAC,CAClC,CAEA,OAAAT,EAASI,EAAWG,GAAO,CAACP,EAAQE,CAAK,EAAG,CAAC,EAAIF,EACjDP,EAASG,EAAII,EAAQP,CAAG,EAExBA,EAASI,GAAKJ,CAAG,EACVA,CACT,CC5BO,IAAMiB,GAAN,cAAiCC,EAAyB,CAC/D,aAAc,CACZ,MAAM,oBAAoB,CAC5B,CAEO,aAAaC,EAA8B,CAChD,GAAM,CAAE,OAAAC,CAAO,EAAI,KAEnB,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,kDAAkD,EAGpE,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAiBC,GAAKJ,EAAM,cAAc,IAAK,EAAI,EAAG,SAAS,EAG/DK,EAAaC,GAAUH,EADb,CAAC,QAAS,QAAS,OAAO,CACO,EAAE,IAAI,GAAG,EAEtDI,EAAMC,GAASH,EAAYJ,EAAO,WAAW,EACjDM,EAASE,GAAQF,EAAK,EAAG,EAAG,OAAO,EAEnCA,EAAMG,GAASH,EAAKN,EAAO,QAAQ,EACnCM,EAAMG,GAASH,EAAKN,EAAO,QAAQ,EACnCM,EAAMG,GAASH,EAAKN,EAAO,QAAQ,EAEnCM,EAAMI,GAAaJ,EAAKN,EAAO,WAAW,EAC1CM,EAAMG,GAASH,EAAKN,EAAO,QAAQ,EACnCM,EAAMG,GAASH,EAAKN,EAAO,QAAQ,EACnCM,EAAMG,GAASH,EAAKN,EAAO,QAAQ,EAEnCM,EAAMI,GAAaJ,EAAKN,EAAO,YAAY,EAC3CM,EAAMG,GAASH,EAAKN,EAAO,SAAS,EACpCM,EAAMG,GAASH,EAAKN,EAAO,SAAS,EAEpCM,EAAMI,GAAaJ,EAAKN,EAAO,YAAY,EAC3CM,EAAMG,GAASH,EAAKN,EAAO,SAAS,EACpCM,EAAMG,GAASH,EAAKN,EAAO,SAAS,EACpCM,EAAMI,GAAaJ,EAAKN,EAAO,gBAAgB,EAE/C,IAAMW,EAAYL,EAAI,KAAK,CAAC,EAAG,CAAC,CAAC,EAGjC,OAF0BM,GAAOD,EAAWX,EAAO,EAAE,CAGvD,CAAC,CACH,CAEA,MAAa,QAAQD,EAAwC,CAC3D,OAAO,KAAK,aAAa,MAAMc,GAAWd,CAAK,CAAC,CAClD,CAEA,MAAa,sBAAsBA,EAAwD,CA7D7F,IAAAe,EA+DI,IAAIA,EAAAf,GAAA,YAAAA,EAAO,QAAP,MAAAe,EAAc,KAAMC,GAAQA,GAAO,GAAI,OAAO,IAAI,aAAa,GAAG,EACtE,IAAMC,EAAW,MAAMH,GAAWd,CAAK,EACjCkB,EAA2BhB,EAAK,IAASiB,GAAQ,KAAK,aAAaF,CAAQ,CAAC,CAAC,EAC7EG,EAA0B,MAAM,QAAQ,IAAIF,EAAsB,IAAKG,GAAMA,EAAE,KAAK,CAAC,CAAC,EAC5F,OAAAH,EAAsB,QAASG,GAAMA,EAAE,QAAQ,CAAC,EACzCJ,EAAS,aAAeG,EAA0BA,EAAwB,EACnF,CAEU,qBAA8B,CACtC,MAAO,wBACT,CAEU,2BAA2BE,EAA8B,CACjE,OAAOC,GAA2BD,CAAS,CAC7C,CAEU,cAAcE,EAAuB,CAC7C,OAAOC,GAAcD,CAAO,CAC9B,CACF,EC9EO,SAASE,IAAyBC,EAAuB,CAC9D,IAAMC,EAAM,IAAIC,GAChB,OAAAD,EAAI,eAAeD,CAAO,EACnBC,CACT,CCJO,SAASE,GAGdC,EACAC,EAC6B,CAE7B,MAAO,CAAE,GAAGD,EAAW,GADL,CAAE,WAAAC,CAAW,CACK,CACtC,CCRO,SAASC,IAAUC,EAA8B,CACtD,OAAO,OAAOA,EAAI,KAAQ,QAC5B,CAEO,SAASC,GAGdC,EACAC,EACkB,CAElB,MAAO,CAAE,GAAGD,EAAW,GADL,CAAE,IAAAC,CAAI,CACY,CACtC,CCRO,SAASC,IAAaC,EAAiC,CAC5D,OAAQA,EAAI,iBAA0BA,EAAI,oBACrCC,GAAmBD,EAAI,iBAAiB,CAC/C,CAEO,SAASE,GAGdC,EACAC,EACAC,EACqB,CAErB,MAAO,CAAE,GAAGF,EAAW,GADL,CAAE,OAAAC,EAAQ,kBAAAC,CAAkB,CACV,CACtC,CCjBA,SAASC,IAAkBC,EAAwCC,EAA+B,CAChG,SAASC,EAA2BC,EAAqBC,EAAuD,CAC9G,IAAMC,EAAaC,GAASN,EAAe,EAAQG,CAAW,EAAG,CAAC,EAAG,EAAGA,EAAa,CAAC,CAAC,EACjFI,EAAsBC,GAASR,EAAeG,CAAW,CAAC,EAC1DM,EAAuBD,GAASR,EAAeG,CAAW,CAAC,EAC3DO,EAAqBF,GAASR,EAAeG,CAAW,CAAC,EACzDQ,EAAyBH,GAASR,EAAeG,CAAW,CAAC,EAEnE,OAAAF,EAAc,KACZ,CAAE,UAAW,GAAGG,WAAuB,EACvC,CAAE,UAAW,GAAGA,oBAAgC,EAChD,CAAE,UAAW,GAAGA,qBAAiC,EACjD,CAAE,UAAW,GAAGA,mBAA+B,EAC/C,CAAE,UAAW,GAAGA,uBAAmC,CACrD,EAEO,CACL,QAAAC,EACA,iBAAAE,EACA,kBAAAE,EACA,gBAAAC,EACA,oBAAAC,CACF,CACF,CAEA,SAASC,EACPC,EACAC,EACAC,EACAX,EACAY,EACY,CACZ,IAAMX,EAAaC,GACjBN,EAAea,EAAaC,EAAcC,EAAaA,CAAU,EACjE,CAACA,EAAYA,EAAYF,EAAYC,CAAW,CAClD,EACMG,EAAUT,GAASR,EAAec,CAAW,CAAC,EAEpD,OAAAb,EAAc,KACZ,CAAE,UAAW,GAAGG,WAAuB,EACvC,CAAE,UAAW,GAAGA,KAAgBY,EAAkB,oBAAsB,QAAS,CACnF,EAEO,CAAE,QAAAX,EAAS,KAAAY,CAAK,CACzB,CAEA,SAASC,EACPL,EACAC,EACAC,EACAX,EACqB,CACrB,GAAM,CACJ,QAAAC,EACA,KAAAY,CACF,EAAIL,EAAkBC,EAAYC,EAAaC,EAAYX,EAAc,EAAI,EAE7E,MAAO,CACL,QAAAC,EACA,kBAAmBY,CACrB,CACF,CAEA,SAASE,EACPN,EACAC,EACAV,EAC4B,CAC5B,IAAMgB,EAAiBlB,EAA2BW,EAAY,GAAGT,kBAA6B,EACxFiB,EAAiBH,EAA2BL,EAAYC,EAAa,EAAG,GAAGV,kBAA6B,EAE9G,MAAO,CAAE,eAAAgB,EAAgB,eAAAC,CAAe,CAC1C,CAEA,SAASC,GAA+C,CACtD,IAAMC,EAASL,EAA2B,EAAG,GAAI,EAAG,oBAAoB,EAClEM,EAASL,EAAsB,GAAI,GAAI,oBAAoB,EAC3DM,EAASN,EAAsB,GAAI,IAAK,oBAAoB,EAC5DO,EAASP,EAAsB,IAAK,IAAK,oBAAoB,EAC7DQ,EAASR,EAAsB,IAAK,IAAK,oBAAoB,EAC7DS,EAAST,EAAsB,IAAK,IAAK,oBAAoB,EAC7DU,EAASV,EAAsB,IAAK,IAAK,oBAAoB,EAC7DW,EAASX,EAAsB,IAAK,IAAK,oBAAoB,EAC7DY,EAASZ,EAAsB,IAAK,IAAK,oBAAoB,EAC7Da,EAASb,EAAsB,IAAK,IAAK,oBAAoB,EAC7Dc,EAAUd,EAAsB,IAAK,IAAK,qBAAqB,EAC/De,EAAUf,EAAsB,IAAK,IAAK,qBAAqB,EAC/DgB,EAAUhB,EAAsB,IAAK,KAAM,qBAAqB,EAChEiB,EAAUjB,EAAsB,KAAM,KAAM,qBAAqB,EACvE,MAAO,CACL,OAAAI,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,QAAAC,EACA,QAAAC,EACA,QAAAC,EACA,QAAAC,CACF,CACF,CAEA,SAASC,GAAsD,CAC7D,IAAMd,EAASL,EAA2B,KAAM,IAAK,EAAG,yBAAyB,EAC3EM,EAASN,EAA2B,IAAK,IAAK,EAAG,yBAAyB,EAC1EO,EAASP,EAA2B,IAAK,IAAK,EAAG,yBAAyB,EAC1EQ,EAASR,EAA2B,IAAK,IAAK,EAAG,yBAAyB,EAC1ES,EAAST,EAA2B,IAAK,IAAK,EAAG,yBAAyB,EAC1EU,EAASV,EAA2B,IAAK,IAAK,EAAG,yBAAyB,EAC1EW,EAASX,EAA2B,IAAK,GAAI,EAAG,yBAAyB,EACzEY,EAASZ,EAA2B,GAAI,IAAK,EAAG,yBAAyB,EACzEoB,EAA2B1B,EAAkB,IAAK,GAAI,EAAG,yDAAyD,EAClH2B,EAAoB3B,EAAkB,IAAK,EAAG,EAAG,kDAAkD,EACnG4B,EAA2B5B,EAAkB,KAAM,GAAI,EAAG,yDAAyD,EACnH6B,EAAoB7B,EAAkB,KAAM,GAAI,EAAG,kDAAkD,EACrG8B,EAA2B9B,EAAkB,IAAK,GAAI,EAAG,yDAAyD,EAClH+B,EAAoB/B,EAAkB,IAAK,GAAI,EAAG,kDAAkD,EACpGgC,EAA2BhC,EAAkB,IAAK,GAAI,EAAG,yDAAyD,EAClHiC,EAAoBjC,EAAkB,IAAK,GAAI,EAAG,kDAAkD,EACpGkC,EAA2BlC,EAAkB,IAAK,GAAI,EAAG,yDAAyD,EAClHmC,EAAoBnC,EAAkB,IAAK,GAAI,EAAG,kDAAkD,EACpGoC,EAA2BpC,EAAkB,IAAK,GAAI,EAAG,yDAAyD,EAClHqC,EAAoBrC,EAAkB,IAAK,GAAI,EAAG,kDAAkD,EA0B1G,MAAO,CACL,OAAAW,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,gBAjCsB,CACtB,uBAAwBQ,EACxB,gBAAiBC,CACnB,EA+BE,gBA9BsB,CACtB,uBAAwBC,EACxB,gBAAiBC,CACnB,EA4BE,gBA3BsB,CACtB,uBAAwBC,EACxB,gBAAiBC,CACnB,EAyBE,gBAxBsB,CACtB,uBAAwBC,EACxB,gBAAiBC,CACnB,EAsBE,gBArBsB,CACtB,uBAAwBC,EACxB,gBAAiBC,CACnB,EAmBE,gBAlBsB,CACtB,uBAAwBC,EACxB,gBAAiBC,CACnB,CAgBA,CACF,CAEA,MAAO,CACL,yBAAA3B,EACA,6BAAAe,CACF,CACF,CAEO,SAASa,GAAcC,EAA6E,CACzG,IAAMlD,EAAgC,CAAC,EACjC,CACJ,eAAAD,EACA,oBAAAoD,CACF,EAAIC,GAAsBF,CAAO,EAC3B,CACJ,yBAAA7B,EACA,6BAAAe,CACF,EAAItC,IAAkBC,EAAgBC,CAAa,EAC7CqD,EAAchC,EAAyB,EACvCiC,EAAmBlB,EAA6B,EAKhDmB,EAAe,CACnB,UALmBC,GACnBzD,EAAe,KAAO,CAAC,EACvB,CAAC,EAAG,KAAM,CAAC,CACb,CAGA,EAEA,GADAC,EAAc,KAAK,CAAE,UAAW,wBAAyB,CAAC,EACtDmD,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAGlF,MAAO,CACL,OAAQ,CACN,YAAAE,EACA,iBAAAC,EACA,aAAAC,CACF,EACA,cAAAvD,CACF,CACF,CChNA,SAASyD,IAAkBC,EAAgBC,EAA+B,CACxE,IAAMC,EAAqBC,GAA0BH,EAAWC,CAAa,EAE7E,SAASG,EAA2BC,EAAgBC,EAAaC,EAA2C,CAC1G,IAAMC,EAAUN,EAAmB,GAAGG,YAAiBC,sBAAyB,EAAG,GAAGC,WAAsB,EACtGE,EAAoBP,EAAmB,GAAGG,YAAiBC,oCAAuC,EAAG,GAAGC,qBAAgC,EAC9I,MAAO,CAAE,QAAAC,EAAS,kBAAAC,CAAkB,CACtC,CAEA,SAASC,EAAsBJ,EAAyC,CACtE,IAAMC,EAAe,oBAAoBD,IACnCK,EAAsB,sBAAsBL,cAC5CM,EAA4B,GAAGL,mBAC/BM,EAA4B,GAAGN,mBAE/BC,EAAUN,EAAmB,GAAGS,sBAAyC,EAAG,GAAGC,WAAmC,EAClHE,EAAmBZ,EAAmB,GAAGS,oBAAuC,EAAG,GAAGC,oBAA4C,EAClIH,EAAoBP,EAAmB,GAAGS,mBAAsC,EAAG,GAAGC,qBAA6C,EACnIG,EAAkBb,EAAmB,GAAGS,0BAA6C,EAAG,GAAGC,mBAA2C,EACtII,EAAsBd,EAAmB,GAAGS,8BAAiD,EAAG,GAAGC,uBAA+C,EAExJ,MAAO,CACL,eAAgB,CACd,QAAAJ,EACA,iBAAAM,EACA,kBAAAL,EACA,gBAAAM,EACA,oBAAAC,CACF,EACA,eAAgBZ,EAA2B,cAAeE,EAAKO,CAAyB,CAC1F,CACF,CAEA,SAASI,GAA+C,CACtD,MAAO,CACL,OAAQb,EAA2B,cAAe,EAAG,oBAAoB,EACzE,OAAQM,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,QAASA,EAAsB,EAAE,EACjC,QAASA,EAAsB,EAAE,EACjC,QAASA,EAAsB,EAAE,EACjC,QAASA,EAAsB,EAAE,CACnC,CACF,CAEA,SAASQ,EAAkBb,EAAgBE,EAAkC,CAC3E,IAAMC,EAAUN,EAAmB,GAAGG,YAAkB,EAAG,GAAGE,WAAsB,EAC9EY,EAAOjB,EAAmB,GAAGG,WAAiB,EAAG,GAAGE,QAAmB,EAC7E,MAAO,CAAE,QAAAC,EAAS,KAAAW,CAAK,CACzB,CAEA,SAASC,EAA0Bd,EAAkC,CACnE,IAAMe,EAAyBH,EAC7B,2BAA2BZ,yBAC3B,kCAAkCA,0BACpC,EACMgB,EAAkBJ,EACtB,2BAA2BZ,mBAC3B,kCAAkCA,mBACpC,EACA,MAAO,CAAE,uBAAAe,EAAwB,gBAAAC,CAAgB,CACnD,CAEA,SAASC,GAAsD,CAC7D,MAAO,CACL,OAAQnB,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,OAAQA,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,OAAQA,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,OAAQA,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,OAAQA,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,OAAQA,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,OAAQA,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,OAAQA,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,gBAAiBgB,EAA0B,CAAC,EAC5C,gBAAiBA,EAA0B,CAAC,EAC5C,gBAAiBA,EAA0B,CAAC,EAC5C,gBAAiBA,EAA0B,CAAC,EAC5C,gBAAiBA,EAA0B,CAAC,EAC5C,gBAAiBA,EAA0B,CAAC,CAC9C,CACF,CAEA,MAAO,CACL,yBAAAH,EACA,6BAAAM,CACF,CACF,CAEO,SAASC,GACdxB,EACsD,CACtD,IAAMC,EAAgC,CAAC,EACjC,CACJ,yBAAAgB,EACA,6BAAAM,CACF,EAAIxB,IAAkBC,EAAWC,CAAa,EACxCwB,EAAYzB,EAAU,oBAE5B,GADAC,EAAc,KAAK,CAAE,aAAc,mBAAoB,UAAW,wBAAyB,CAAC,EACxF,CAACyB,GAAWD,CAAS,EACvB,MAAM,IAAI,MAAM,yEAAyEA,GAAW,EAGtG,IAAME,EAAS,CACb,YAAaV,EAAyB,EACtC,iBAAkBM,EAA6B,EAC/C,aAAc,CACZ,UAAAE,CACF,CACF,EAEA,OAAAG,GAA2B5B,EAAWC,CAAa,EAC5C,CAAE,OAAA0B,EAAQ,cAAA1B,CAAc,CACjC,CCzHO,SAAS4B,GAAmBC,EAAgBC,EAA6BC,EAA2B,CACzG,OAAUC,EAAK,IAAM,CACnB,IAAIC,EAASC,GAAOL,EAAGC,EAAO,QAASC,EAAS,MAAM,EACtD,OAAAE,EAASE,EAAIF,EAAKH,EAAO,iBAAiB,EAChCM,GAAYH,EAAK,EAAG,CAAC,CACjC,CAAC,CACH,CCLA,IAAMI,IAAU,qBAEhB,SAASC,IAAmBC,EAAgBC,EAAyCC,EAA2B,CAC9G,OAAUC,EAAK,IAAM,CACnB,IAAIC,EAASC,GAAgBL,EAAGC,EAAO,QAASC,EAAS,MAAM,EAC/D,OAAAE,EAASE,GACPF,EACAH,EAAO,gBACPA,EAAO,oBACPA,EAAO,kBACPA,EAAO,iBACPH,GACF,EACUS,GAAYH,EAAK,EAAG,CAAC,CACjC,CAAC,CACH,CAEA,SAASI,IAAsBC,EAAoC,CACjE,MAAO,CAAC,EAAG,EAAG,EAAG,EAAE,EAAE,KAAMC,GAAQA,IAAQD,CAAQ,EAAI,CAAC,EAAG,CAAC,EAAI,CAAC,EAAG,CAAC,CACvE,CAEO,SAASE,GAAYX,EAAgBC,EAA4B,CACtE,OAAUE,EAAK,IAAM,CACnB,IAAIS,EACAR,EAAMS,GAAmBb,EAAGC,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EA0BrD,GAxBuB,CACrBA,EAAO,OACPA,EAAO,OACPA,EAAO,OACPA,EAAO,OACPA,EAAO,OACPA,EAAO,OACPA,EAAO,OACPA,EAAO,OACPA,EAAO,OACPA,EAAO,QACPA,EAAO,QACPA,EAAO,QACPA,EAAO,OACT,EAEe,QAAQ,CAACa,EAAO,IAAM,CACnC,IAAML,EAAW,EAAI,EACfM,EAAuBP,IAAsBC,CAAQ,EAC3DL,EAAML,IAAmBK,EAAKU,EAAM,eAAgBC,CAAoB,EACxEX,EAAMS,GAAmBT,EAAKU,EAAM,eAAgB,CAAC,EAAG,CAAC,CAAC,EACtDL,IAAa,KAAIG,EAASR,EAChC,CAAC,EAEGQ,IAAW,KACb,MAAM,IAAI,MAAM,+CAA+C,EAGjE,MAAO,CACL,IAAAR,EACA,OAAQQ,CACV,CACF,CAAC,CACH,CC9DA,SAASI,IAAIC,EAAoBC,EAAWC,EAAW,CACrD,IAAMC,EAAYH,EAAM,UAAU,EAC5BI,EAAQ,KAAK,IAAID,EAAUF,GAAG,GAAIE,EAAUF,GAAG,EAAE,EACjDI,EAAQ,KAAK,IAAIF,EAAUF,GAAG,GAAIE,EAAUF,GAAG,EAAE,EACjDK,EAAQ,KAAK,IAAIH,EAAUF,GAAG,GAAIE,EAAUF,GAAG,EAAE,EACjDM,EAAQ,KAAK,IAAIJ,EAAUF,GAAG,GAAIE,EAAUF,GAAG,EAAE,EACjDO,EAAQ,KAAK,IAAIL,EAAUD,GAAG,GAAIC,EAAUD,GAAG,EAAE,EACjDO,EAAQ,KAAK,IAAIN,EAAUD,GAAG,GAAIC,EAAUD,GAAG,EAAE,EACjDQ,EAAQ,KAAK,IAAIP,EAAUD,GAAG,GAAIC,EAAUD,GAAG,EAAE,EACjDS,EAAQ,KAAK,IAAIR,EAAUD,GAAG,GAAIC,EAAUD,GAAG,EAAE,EACjDU,GAASN,EAAQF,IAAUG,EAAQF,GACnCQ,GAASH,EAAQF,IAAUG,EAAQF,GACzC,GAAIG,GAAS,GAAKC,GAAS,EAAG,MAAO,GACrC,IAAMC,EAAmB,KAAK,IAAIV,EAAOI,CAAK,EACxCO,EAAmB,KAAK,IAAIV,EAAOI,CAAK,EACxCO,EAAmB,KAAK,IAAIV,EAAOI,CAAK,EACxCO,EAAmB,KAAK,IAAIV,EAAOI,CAAK,EACxCO,EAAmB,KAAK,IAAIF,EAAmBF,EAAkB,CAAG,EAAI,KAAK,IAAIG,EAAmBF,EAAkB,CAAG,EAC/H,OAAOG,GAAoBN,EAAQC,EAAQK,EAC7C,CAEO,SAASC,GACdnB,EACAoB,EACAC,EACAC,EACAC,EACU,CACV,IAAMC,EAAWxB,EAAM,MAAM,GACvByB,EAAa,KAAK,IAAIJ,EAAeG,CAAQ,EAE7CE,EAAaN,EAChB,IAAI,CAACO,EAAOC,KAAc,CAAE,MAAAD,EAAO,SAAAC,CAAS,EAAE,EAC9C,OAAQC,GAAMA,EAAE,MAAQN,CAAc,EACtC,KAAK,CAACO,EAAIC,IAAOA,EAAG,MAAQD,EAAG,KAAK,EAEjCE,EAAgBC,GAAeA,GAAKX,EAAe,EAAI,EACvDY,EAAqB,CAAC,EAE5B,OAAAR,EAAW,QAASG,GAAM,CACxB,GAAIK,EAAS,QAAUT,EAAY,OACnC,IAAMU,EAAgBN,EAAE,MACxB,QAAS3B,EAAIgC,EAAS,OAAS,EAAGhC,GAAK,EAAG,EAAEA,EAAG,CAC7C,IAAMkC,EAAMrC,IAAIC,EAAO6B,EAAE,SAAUK,EAAShC,EAAE,EAC9C,GAAIkC,IAAQ,IACZP,EAAE,OAASG,EAAaI,CAAG,EACvBP,EAAE,OAASN,GAAgB,KACjC,CACIY,IAAkBN,EAAE,OACtBK,EAAS,KAAKL,EAAE,QAAQ,CAE5B,CAAC,EACMK,CACT,CCnDA,SAASG,IAAkCC,EAAgB,CACzD,IAAMC,EAASC,GAAWC,GAAUH,EAAG,CAAC,EAAG,CAAC,CAAC,CAAC,EAExCI,EAAQ,CACTC,GAAIJ,EAAI,GAAIA,EAAI,EAAE,EAClBI,GAAIJ,EAAI,GAAIA,EAAI,EAAE,CACvB,EACMK,EAAU,CACXC,EAAIN,EAAI,GAAOO,GAAIJ,EAAM,GAAI,CAAC,CAAC,EAC/BG,EAAIN,EAAI,GAAOO,GAAIJ,EAAM,GAAI,CAAC,CAAC,CACpC,EACA,MAAO,CAAE,MAAAA,EAAO,QAAAE,CAAQ,CAC1B,CAEA,SAASG,IAAiBC,EAAiBC,EAAiB,CAC1D,GAAM,CAAE,MAAAP,EAAO,QAAAE,CAAQ,EAAIP,IAAkCW,CAAE,EAEzDT,EAASC,GAAWC,GAAUQ,EAAI,CAAC,EAAG,CAAC,CAAC,CAAC,EACzCC,EAAcJ,GAAOK,EAAOC,GAAON,GAAIP,EAAI,GAAI,CAAC,CAAC,EAAGG,EAAM,EAAE,EAAG,CAAC,EAChEW,EAAcR,EAAOM,EAAOL,GAAIP,EAAI,GAAI,EAAE,EAAGG,EAAM,EAAE,EAAGE,EAAQ,EAAE,EAClEU,EAAcR,GAAOK,EAAOC,GAAON,GAAIP,EAAI,GAAI,CAAC,CAAC,EAAGG,EAAM,EAAE,EAAG,CAAC,EAChEa,EAAcV,EAAOM,EAAOL,GAAIP,EAAI,GAAI,EAAE,EAAGG,EAAM,EAAE,EAAGE,EAAQ,EAAE,EAExE,OAAUH,GACLe,GAAM,CACJb,GAAIU,EAAUH,CAAQ,EACtBP,GAAIY,EAAUD,CAAQ,EACtBT,EAAIQ,EAAUH,CAAQ,EACtBL,EAAIU,EAAUD,CAAQ,CAC3B,CAAC,EACD,CAAC,EAAG,CAAC,CACP,CACF,CAEO,SAASG,GAAYC,EAA6BC,EAA+BC,EAA2B,CACjH,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAYJ,EAAe,MAAM,GAEnCK,EAAQhB,IACPiB,EAAWC,GAAKL,EAAO,UAAW,CAACE,EAAW,EAAG,CAAC,CAAC,EAAG,CAAC,GAAI,CAAC,CAAC,EAC7DE,EAAQN,EAAgB,CAAC,GAAI,CAAC,CAAC,CACpC,EACAK,EAAWC,EAAQD,EAAO,CAACD,EAAYC,EAAM,MAAM,GAAKD,EAAY,CAAC,CAAC,EAEtE,IAAMI,EAAsBC,GAAWC,GAAMT,EAAkB,CAAC,EAAG,EAAG,CAAC,EAAG,CAAC,GAAI,GAAI,EAAE,CAAC,CAAC,EACnFU,EAAYD,GAAMF,EAAkB,CAAC,EAAG,EAAG,CAAC,EAAG,CAAC,GAAI,GAAI,CAAC,CAAC,EAE9DG,EAAYL,EAAQK,EAAQ,CAACP,EAAWO,EAAO,MAAM,EAAY,CAAC,EAElE,IAAMC,EAAkB9B,GAAQuB,CAAK,EAC/BQ,EAAmB/B,GAAQ6B,CAAM,EAEvC,MAAO,CAAE,MAAOC,EAAc,OAAQC,CAAc,CACtD,CAAC,CACH,CCrDO,SAASC,GACdC,EACAC,EACA,CACA,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAYH,EAAE,MAAM,GACpBI,EAA2BC,EAC/BC,GAAUN,EAAGC,EAAO,sBAAsB,EAC1C,CAACE,EAAW,GAAI,EAAG,CAAC,CACtB,EACMI,EAAqBF,EACzBC,GAAUN,EAAGC,EAAO,eAAe,EACnC,CAACE,EAAW,GAAI,CAAC,CACnB,EACA,MAAO,CAAE,sBAAAC,EAAuB,gBAAAG,CAAgB,CAClD,CAAC,CACH,CCfO,SAASC,GACdC,EACAC,EACAC,EACA,CACA,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAQC,GAAmBL,EAAGE,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EACnDI,EAAQD,GAAmBD,EAAOF,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EACvDK,EAAQF,GAAmBC,EAAOJ,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EACvDM,EAAQH,GAAmBE,EAAOL,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EACvDO,EAAQJ,GAAmBG,EAAON,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EACvDQ,EAAQL,GAAmBI,EAAOP,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EACvDS,EAAQN,GAAmBK,EAAOR,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EACvDU,EAAQP,GAAmBM,EAAOT,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EAEvDW,EAAiBC,GAAmBb,EAAQC,EAAO,eAAe,EAClEa,EAAiBD,GAAmBd,EAAGE,EAAO,eAAe,EAC7Dc,EAAiBF,GAAmBR,EAAOJ,EAAO,eAAe,EACjEe,EAAiBH,GAAmBN,EAAON,EAAO,eAAe,EACjEgB,EAAiBJ,GAAmBJ,EAAOR,EAAO,eAAe,EACjEiB,EAAiBL,GAAmBF,EAAOV,EAAO,eAAe,EAEjEkB,EAAoBC,GAAO,CAC/BR,EAAe,sBACfE,EAAe,sBACfC,EAAe,sBACfC,EAAe,sBACfC,EAAe,sBACfC,EAAe,qBACjB,EAAG,CAAC,EAEEG,EAAsBD,GAAO,CACjCR,EAAe,gBACfE,EAAe,gBACfC,EAAe,gBACfC,EAAe,gBACfC,EAAe,gBACfC,EAAe,eACjB,EAAG,CAAC,EAEJ,MAAO,CACL,eAAAC,EACA,iBAAAE,CACF,CACF,CAAC,CACH,CC9CO,IAAMC,GAAN,KAA4B,CAOjC,YAAY,CAAE,cAAAC,EAAe,WAAAC,CAAW,EAA4B,CAAC,EAAG,CANxE,KAAU,MAAQ,wBAUhB,GAHA,KAAK,eAAiBD,GAAiB,GACvC,KAAK,YAAcC,GAAc,IAE7B,OAAO,KAAK,gBAAmB,UAAY,KAAK,gBAAkB,GAAK,KAAK,gBAAkB,EAChG,MAAM,IAAI,MAAM,GAAG,KAAK,+DAA+D,EAGzF,GAAI,OAAO,KAAK,aAAgB,SAC9B,MAAM,IAAI,MAAM,GAAG,KAAK,4CAA4C,CAExE,CAEA,IAAI,eAAwB,CAAE,OAAO,KAAK,cAAgB,CAE1D,IAAI,YAAqB,CAAE,OAAO,KAAK,WAAa,CACtD,ECbO,IAAMC,GAAN,cAA6BC,EAAyB,CAC3D,aAAc,CACZ,MAAM,gBAAgB,CACxB,CAEO,aAAaC,EAAiB,CACnC,GAAM,CAAE,OAAAC,CAAO,EAAI,KACnB,GAAI,CAACA,EAAQ,MAAM,IAAI,MAAM,8CAA8C,EAC3E,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAiBC,GAAKJ,EAAM,cAAc,IAAK,EAAK,EAAG,SAAS,EAChEK,EAAOC,GAAOC,GAAIJ,EAAa,KAAK,EAAG,CAAC,EACxCK,EAAWC,GAAYJ,EAAGJ,EAAO,WAAW,EAC5C,CAAE,eAAAS,EAAgB,iBAAAC,CAAiB,EAAIC,GAAgBJ,EAAS,IAAKA,EAAS,OAAQP,EAAO,gBAAgB,EACnH,OAAOY,GAAYH,EAAgBC,EAAkBV,EAAO,YAAY,CAC1E,CAAC,CACH,CAEA,MAAa,QAAQD,EAAkB,CACrC,OAAO,KAAK,aAAa,MAAMc,GAAWd,CAAK,CAAC,CAClD,CAEA,MAAa,YAAYA,EAAkBe,EAAkC,CAAC,EAA6B,CACzG,GAAM,CAAE,WAAAC,EAAY,cAAAC,CAAc,EAAI,IAAIC,GAAsBH,CAAO,EACjEI,EAAW,MAAML,GAAWd,CAAK,EACjC,CAAE,MAAOoB,EAAQ,OAAQC,CAAQ,EAAI,KAAK,aAAaF,CAAQ,EAC/DG,EAAQF,EAAO,GACfG,EAASF,EAAQ,GACvB,QAASG,EAAI,EAAGA,EAAIJ,EAAO,OAAQI,IACjCJ,EAAOI,GAAG,QAAQ,EAClBH,EAAQG,GAAG,QAAQ,EAErB,IAAMC,EAAa,MAAM,KAAKF,EAAO,SAAS,CAAC,EAEzCG,EAAUC,GAAkBL,EAAOG,EAAwBT,EAD5C,GACsEC,CAAa,EAClGW,EAAeT,EAAS,2BAA2B,CAAC,EACpDU,EAAYV,EAAS,UACrBW,EAAOD,EAAYD,EAAa,MAChCG,EAAOF,EAAYD,EAAa,OAChCI,EAAYV,EAAM,UAAU,EAC5BW,EAAUP,EACb,IAAKQ,GAAQ,CACZ,GAAM,CAACC,EAAKC,CAAM,EAAI,CACpB,KAAK,IAAI,EAAGJ,EAAUE,GAAK,EAAE,EAC7B,KAAK,IAAI,EAAKF,EAAUE,GAAK,EAAE,CACjC,EAAE,IAAKG,GAAQA,EAAMN,CAAI,EACnB,CAACO,EAAMC,CAAK,EAAI,CACpB,KAAK,IAAI,EAAGP,EAAUE,GAAK,EAAE,EAC7B,KAAK,IAAI,EAAKF,EAAUE,GAAK,EAAE,CACjC,EAAE,IAAKG,GAAQA,EAAMP,CAAI,EACzB,OAAO,IAAIU,GACTf,EAAWS,GACX,IAAIO,GAAKH,EAAMH,EAAKI,EAAQD,EAAMF,EAASD,CAAG,EAC9C,CAAE,OAAQhB,EAAS,eAAe,CAAC,EAAG,MAAOA,EAAS,cAAc,CAAC,CAAE,CACzE,CACF,CAAC,EACH,OAAAG,EAAM,QAAQ,EACdC,EAAO,QAAQ,EACRU,CACT,CAEU,qBAA8B,CACtC,MAAO,uBACT,CAEU,2BAA2BS,EAA8B,CACjE,OAAOC,GAA2BD,CAAS,CAC7C,CAEU,cAAcE,EAAuB,CAC7C,OAAOC,GAAcD,CAAO,CAC9B,CACF,ECjFO,SAASE,IAAqBC,EAAuB,CAC1D,IAAMC,EAAM,IAAIC,GAChB,OAAAD,EAAI,eAAeD,CAAO,EACnBC,CACT,CAEO,SAASE,IAAuBH,EAAuB,CAC5D,OAAOD,IAAqBC,CAAO,CACrC,CAGO,IAAMI,GAAN,cAA+BF,EAAe,CAAC,ECd/C,IAAMG,GAAgB,GAEhBC,GAAc,CACzB,IAAIC,GAAM,QAAU,OAAQ,EAC5B,IAAIA,GAAM,QAAS,OAAO,EAC1B,IAAIA,GAAM,QAAS,OAAO,EAC1B,IAAIA,GAAM,OAAQ,OAAO,EACzB,IAAIA,GAAM,QAAS,OAAO,CAC5B,EAEaC,GAAwB,CACnC,IAAID,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,CAC9B,EAEaE,GAA+C,CAAC,QAAS,QAAS,MAAM,EAExEC,GAAqB,oBACrBC,GAAoC,mCCVjD,IAAMC,GAAYC,GAAa,OAAOA,GAAQ,SAEvC,SAASC,GAAeC,EAAa,CAC1C,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,mBAAmBA,GAAQ,EAG7C,GAAI,OAAOA,EAAO,oBAAuB,UACvC,MAAM,IAAI,MAAM,wDAAwDA,EAAO,oBAAoB,EAGrG,GAAI,CAACH,GAASG,EAAO,YAAY,GAAKA,EAAO,aAAe,GAAKA,EAAO,aAAe,EACrF,MAAM,IAAI,MAAM,gEAAgEA,EAAO,cAAc,EAGvG,GACE,CAAC,MAAM,QAAQA,EAAO,OAAO,GAC1B,CAACA,EAAO,QAAQ,QAChB,CAACA,EAAO,QAAQ,MAAOC,GAAW,OAAOA,GAAM,QAAQ,EAE1D,MAAM,IAAI,MAAM,kEAAkE,KAAK,UAAUD,EAAO,OAAO,GAAG,EAGpH,GACE,CAAC,MAAM,QAAQA,EAAO,OAAO,GAC1B,CAACA,EAAO,QAAQ,QAChB,CAACA,EAAO,QAAQ,IAAKE,GAAWA,GAAK,CAAC,CAAC,EAAE,MAAOA,GAAWL,GAASK,EAAE,CAAC,GAAKL,GAASK,EAAE,CAAC,CAAC,EAE5F,MAAM,IAAI,MAAM,wEAAwE,KAAK,UAAUF,EAAO,OAAO,GAAG,EAG1H,GAAIA,EAAO,UACT,CAAC,MAAM,QAAQA,EAAO,OAAO,GAC1BA,EAAO,QAAQ,SAAW,GAC1B,CAACA,EAAO,QAAQ,MAAMH,EAAQ,GAEjC,MAAM,IAAI,MAAM,8EAA8E,KAAK,UAAUG,EAAO,OAAO,GAAG,CAElI,CCjDO,SAASG,GAAMC,EAA6B,CACjD,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAASC,EAAIH,EAAMI,GAAO,kBAAmB,CAAC,EACpD,OAAUC,EAAOC,GAAQC,GAAIP,EAAGE,CAAG,CAAC,EAAGA,CAAG,CAC5C,CAAC,CACH,CCFO,SAASM,GAAkBC,EAAgBC,EAAwC,CACxF,OAAUC,EAAK,IAAM,CACnB,IAAIC,EAASC,GAAIJ,EAAG,CAAC,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,CAAC,CAAC,EACpD,OAAAG,EAASE,GAAOF,EAAKF,EAAO,KAAK,QAAS,CAAC,EAAG,CAAC,EAAG,OAAO,EACzDE,EAASG,GAAIH,EAAKF,EAAO,GAAG,GAAG,EAC/BE,EAASI,EAAIJ,EAAKF,EAAO,GAAG,OAAO,EACnCE,EAASK,EAAIL,EAAKF,EAAO,KAAK,IAAI,EAC3BQ,GAAMN,CAAG,CAClB,CAAC,CACH,CCTO,SAASO,GAAuBC,EAAgBC,EAA0C,CAC/F,OAAUC,EAAK,IAAM,CACnB,IAAIC,EAASC,GAAIJ,EAAG,CAAC,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,CAAC,CAAC,EACpD,OAAAG,EAASE,GAAgBF,EAAKF,EAAO,iBAAkBA,EAAO,iBAAkB,CAAC,EAAG,CAAC,EAAG,OAAO,EAC/FE,EAASG,EAAIH,EAAKF,EAAO,IAAI,EACtBM,GAAMJ,CAAG,CAClB,CAAC,CACH,CCHA,SAASK,IAAkBC,EAAwCC,EAA+B,CAChG,IAAMC,EAAoBC,GAAyBH,EAAgBC,CAAa,EAEhF,SAASG,EAAuBC,EAAcC,EAAiC,CAC7E,IAAMC,EAASC,GAASR,EAAeK,CAAI,CAAC,EACtCI,EAAaD,GAASR,EAAeK,CAAI,CAAC,EAEhD,OAAAJ,EAAc,KACZ,CAAE,UAAW,GAAGK,OAAmB,EACnC,CAAE,UAAW,GAAGA,WAAuB,CACzC,EACO,CAAE,IAAAC,EAAK,QAAAE,CAAQ,CACxB,CAEA,SAASC,EAA+BC,EAAoBC,EAAqBN,EAAyC,CACxH,IAAMO,EAAOX,EAAkBS,EAAYC,EAAa,EAAG,GAAGN,QAAmB,EAC3EQ,EAAKV,EAAuBQ,EAAa,GAAGN,MAAiB,EACnE,MAAO,CAAE,KAAAO,EAAM,GAAAC,CAAG,CACpB,CACA,IAAMC,EAA6BC,GAAkChB,EAAgBC,CAAa,EAElG,MAAO,CACL,kBAAAC,EACA,+BAAAQ,EACA,2BAAAK,CACF,CACF,CAEO,SAASE,GACdC,EACAC,EACAC,EACAC,EACgE,CAChE,GAAM,CACJ,eAAArB,EACA,oBAAAsB,CACF,EAAIC,GAAsBL,CAAO,EAE3BjB,EAAgC,CAAC,EACjC,CACJ,kBAAAC,EACA,+BAAAQ,EACA,2BAAAK,CACF,EAAIhB,IAAkBC,EAAgBC,CAAa,EAC/CuB,EAEJ,GAAIL,EAAO,mBAAoB,CAC7B,GAAM,CAACM,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,CAAE,EAAIZ,EACvCa,EAAQf,EAAO,mBACjBjB,EAAkBuB,EAAIC,EAAI,EAAG,OAAO,EACpCX,EAA2BU,EAAIC,EAAI,OAAO,EACxCS,EAAQpB,EAA2BW,EAAIC,EAAI,OAAO,EAClDS,EAAQrB,EAA2BY,EAAIC,EAAI,OAAO,EAClDS,EAAQtB,EAA2Ba,EAAIC,EAAI,OAAO,EAClDS,EAAQvB,EAA2Bc,EAAIC,EAAI,OAAO,EAClDS,EAAQxB,EAA2Be,EAAIC,EAAI,OAAO,EAClDS,EAAQR,EAAKjB,EAA2BgB,EAAIC,EAAI,OAAO,EAAI,OAC3DS,EAAQR,EAAKlB,EAA2BiB,EAAIC,EAAI,OAAO,EAAI,OAC3DS,EAAQxC,EAAkB+B,GAAMD,GAAMD,EAAI,EAAIX,EAAiB,EAAG,OAAO,EAC/EI,EAAS,CACP,MAAAU,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,CAC1D,CACF,KAAO,CACL,GAAM,CAACjB,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,CAAE,EAAIZ,EACvCa,EAAQxB,EAA+Be,EAAIC,EAAI,OAAO,EACtDS,EAAQzB,EAA+BgB,EAAIC,EAAI,OAAO,EACtDS,EAAQ1B,EAA+BiB,EAAIC,EAAI,OAAO,EACtDS,EAAQ3B,EAA+BkB,EAAIC,EAAI,OAAO,EACtDS,EAAQ5B,EAA+BmB,EAAIC,EAAI,OAAO,EACtDS,EAAQ7B,EAA+BoB,EAAIC,EAAI,OAAO,EACtDS,EAAQ9B,EAA+BqB,EAAIC,EAAI,OAAO,EACtDS,EAAQ/B,EAA+BsB,EAAIC,EAAI,OAAO,EACtDS,EAAQxC,EAAkB+B,EAAI,EAAIb,EAAiB,EAAG,OAAO,EACnEI,EAAS,CACP,MAAAU,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,CAC1D,CACF,CACA,GAAIpB,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAElF,MAAO,CAAE,OAAAE,EAAQ,cAAAvB,CAAc,CACjC,CCjFA,SAAS0C,IAAkBC,EAAgBC,EAA+B,CACxE,IAAMC,EAAqBC,GAA0BH,EAAWC,CAAa,EAE7E,SAASG,EAAuBC,EAA2B,CACzD,IAAMC,EAAMJ,EAAmB,GAAGG,QAAc,CAAC,EAC3CE,EAAUL,EAAmB,GAAGG,YAAkB,CAAC,EACzD,MAAO,CAAE,IAAAC,EAAK,QAAAC,CAAQ,CACxB,CAEA,SAASC,EAAkBH,EAA4B,CACrD,IAAMI,EAAUP,EAAmB,GAAGG,YAAkB,CAAC,EACnDK,EAAOR,EAAmB,GAAGG,SAAe,CAAC,EACnD,MAAO,CAAE,QAAAI,EAAS,KAAAC,CAAK,CACzB,CAEA,SAASC,EAA+BN,EAAmC,CACzE,IAAMO,EAAOJ,EAAkB,GAAGH,QAAa,EACzCQ,EAAKT,EAAuB,GAAGC,MAAW,EAChD,MAAO,CAAE,KAAAO,EAAM,GAAAC,CAAG,CACpB,CAEA,IAAMC,EAA6BC,GAA+Bb,CAAkB,EACpF,MAAO,CACL,kBAAAM,EACA,+BAAAG,EACA,2BAAAG,CACF,CACF,CAEO,SAASE,GACdhB,EACAiB,EACgE,CAChE,IAAMhB,EAAgC,CAAC,EAEjC,CACJ,kBAAAO,EACA,+BAAAG,EACA,2BAAAG,CACF,EAAIf,IAAkBC,EAAWC,CAAa,EAE1CiB,EAEJ,GAAID,EAAO,mBAAoB,CAE7B,IAAME,EAAcF,EAAO,aAAeA,EAAO,YAAY,QAAU,EACvEC,EAAS,CACP,MAAOD,EAAO,mBAAqBT,EAAkB,OAAO,EAAIM,EAA2B,OAAO,EAClG,MAAOA,EAA2B,OAAO,EACzC,MAAOA,EAA2B,OAAO,EACzC,MAAOA,EAA2B,OAAO,EACzC,MAAOA,EAA2B,OAAO,EACzC,MAAOA,EAA2B,OAAO,EACzC,MAAOK,EAAa,EAAIL,EAA2B,OAAO,EAAI,OAC9D,MAAOK,EAAa,EAAIL,EAA2B,OAAO,EAAI,OAC9D,MAAON,EAAkB,OAAO,CAClC,CACF,MACEU,EAAS,CACP,MAAOP,EAA+B,OAAO,EAC7C,MAAOA,EAA+B,OAAO,EAC7C,MAAOA,EAA+B,OAAO,EAC7C,MAAOA,EAA+B,OAAO,EAC7C,MAAOA,EAA+B,OAAO,EAC7C,MAAOA,EAA+B,OAAO,EAC7C,MAAOA,EAA+B,OAAO,EAC7C,MAAOA,EAA+B,OAAO,EAC7C,MAAOH,EAAkB,OAAO,CAClC,EAGF,OAAAY,GAA2BpB,EAAWC,CAAa,EAC5C,CAAE,OAAAiB,EAAQ,cAAAjB,CAAc,CACjC,CC9EO,IAAMoB,GAAN,KAAwB,CAO7B,YAAY,CAAE,UAAAC,EAAW,eAAAC,CAAe,EAAwB,CAAC,EAAG,CANpE,KAAU,MAAQ,oBAUhB,GAHA,KAAK,WAAaD,GAAa,IAC/B,KAAK,gBAAkBC,GAAkB,GAErC,OAAO,KAAK,YAAe,UAAY,KAAK,WAAa,KAAO,EAClE,MAAM,IAAI,MAAM,GAAG,KAAK,2DAA2D,EAGrF,GAAI,OAAO,KAAK,iBAAoB,UAAY,KAAK,iBAAmB,GAAK,KAAK,iBAAmB,EACnG,MAAM,IAAI,MAAM,GAAG,KAAK,gEAAgE,CAE5F,CAEA,IAAI,WAAoB,CAAE,OAAO,KAAK,UAAY,CAElD,IAAI,gBAAyB,CAAE,OAAO,KAAK,eAAiB,CAC9D,ECLO,IAAMC,GAAN,cAA6BC,EAAmC,CAKrE,YAAYC,EAA0B,CACpC,MAAM,YAAY,EAClBC,GAAeD,CAAM,EACrB,KAAK,QAAUA,CACjB,CAEA,IAAW,QAA2B,CACpC,OAAO,KAAK,OACd,CAEA,IAAW,iBAA2B,CACpC,OAAO,KAAK,OAAO,iBAAmB,KAAK,OAAO,QAAQ,OAAS,CACrE,CAEA,IAAW,iBAA0B,CACnC,MAAO,IAAK,KAAK,gBAAkB,KAAK,OAAO,QAAQ,OAAS,EAClE,CAEO,cAAcE,EAAgBC,EAAiD,CACpF,IAAIC,EAAMC,GAAkBH,EAAGC,EAAO,KAAK,EAC3C,OAAAC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMC,GAAkBD,EAAKD,EAAO,KAAK,EACzCC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMC,GAAkBD,EAAKD,EAAO,KAAK,EACzCC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMC,GAAkBD,EAAKD,EAAO,KAAK,EACzCC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMC,GAAkBD,EAAKD,EAAO,KAAK,EACzCC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMC,GAAkBD,EAAKD,EAAO,KAAK,EACzCC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMC,GAAkBD,EAAKD,EAAO,KAAK,EACzCC,EAAMC,GAAkBD,EAAKD,EAAO,KAAK,EAClCI,GAAUH,EAAKD,EAAO,MAAO,QAAS,EAAK,CACpD,CAEO,aAAaD,EAAgBC,EAAsC,CACxE,IAAIC,EAAM,KAAK,OAAO,mBAClBI,GAAMD,GAAUL,EAAGC,EAAO,MAAqB,QAAS,EAAK,CAAC,EAC9DM,GAAuBP,EAAGC,EAAO,KAA4B,EACjE,OAAAC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMK,GAAuBL,EAAKD,EAAO,KAAK,EAC9CC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMK,GAAuBL,EAAKD,EAAO,KAAK,EAC9CC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMK,GAAuBL,EAAKD,EAAO,KAAK,EAC9CC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMK,GAAuBL,EAAKD,EAAO,KAAK,EAC9CC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMK,GAAuBL,EAAKD,EAAO,KAAK,EAC9CC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMD,EAAO,MAAQM,GAAuBL,EAAKD,EAAO,KAAK,EAAIC,EACjEA,EAAMD,EAAO,MAAQM,GAAuBL,EAAKD,EAAO,KAAK,EAAIC,EAC1DG,GAAUH,EAAKD,EAAO,MAAO,QAAS,EAAK,CACpD,CAEO,aAAaO,EAAiBC,EAAgC,CACnE,GAAM,CAAE,OAAAR,CAAO,EAAI,KAEnB,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,0CAA0C,EAG5D,OAAUS,EAAK,IAAM,CACnB,IAAIC,EAAiBC,GAAKJ,EAAM,cAAcC,EAAW,EAAK,EAAG,SAAS,EAC1E,OAAAE,EAAc,KAAK,OAAO,QACtBE,GAAUF,EAAa,KAAK,OAAO,OAAO,EAC1CA,EACJA,EAAcA,EAAY,IAAI,GAAG,EAC1B,KAAK,OAAO,mBACf,KAAK,aAAaA,EAAaV,CAAyB,EACxD,KAAK,cAAcU,EAAaV,CAAoC,CAC1E,CAAC,CACH,CAEA,MAAa,QAAQO,EAAkBC,EAAyC,CAC9E,OAAO,KAAK,aAAa,MAAMK,GAAWN,CAAK,EAAGC,CAAS,CAC7D,CAEA,MAAa,OAAOD,EAAkBO,EAAoC,CAAC,EAA+B,CACxG,GAAM,CAAE,UAAAN,EAAW,eAAAO,CAAe,EAAI,IAAIC,GAAkBF,CAAa,EACnEG,EAAW,MAAMJ,GAAWN,CAAK,EACjCN,EAAM,MAAM,KAAK,aAAagB,EAAUT,CAAS,EACjDU,EAAUT,EAAK,IAASU,GAAQlB,CAAG,EAAE,GAAG,WAAW,CAAC,EACpDmB,EAAkB,CACtB,MAAOH,EAAS,cAAc,CAAC,EAC/B,OAAQA,EAAS,eAAe,CAAC,CACnC,EAEMI,EAAU,MAAM,KAAK,aAAaH,EAAMD,EAAS,2BAA2B,CAAC,EAAGF,CAAc,EACpGd,EAAI,QAAQ,EACZiB,EAAK,QAAQ,EAEb,IAAMI,EAAQD,EAAQ,IAAKE,GAAQA,EAAI,GAAG,EACpCC,EAASH,EAAQ,IAAKE,GAAQA,EAAI,KAAK,EACvCE,EAAcJ,EAAQ,IAAKE,GAAQA,EAAI,UAAU,EACjDG,EAAaL,EAAQ,IAAKE,GAAQ,KAAK,OAAO,QAAQA,EAAI,MAAM,EAgBtE,OAdgBI,GACdL,EAAM,IAAKM,GAAQA,EAAI,QAAQpB,CAAS,CAAC,EACzCgB,EACA,KAAK,OAAO,aACZ,EACF,EAE2B,IAAKK,GAAQ,IAAIC,GAC1CN,EAAOK,GACPJ,EAAYI,GACZH,EAAWG,GACXP,EAAMO,GACNT,CACF,CAAC,CAEH,CAEU,qBAA8B,CACtC,MAAO,EACT,CAEU,2BAA2BW,EAA8B,CACjE,OAAOC,GAA2BD,EAAW,KAAK,MAAM,CAC1D,CAEU,cAAcE,EAAuB,CAC7C,IAAMC,EAAc,KAAK,OAAO,aAAevC,GAAe,qBAExDwC,EAAaD,EAAcA,EAAY,OAAS,OACtD,GAAIC,IAAe,GAAKA,IAAe,GAAKA,IAAe,EACzD,MAAM,IAAI,MAAM,oEAAoEA,yBAAkC,EAExH,OAAOC,GAAcH,EAAS,KAAK,OAAQ,KAAK,gBAAiBC,CAAW,CAC9E,CAEA,MAAgB,aACdG,EACAC,EACAvB,EACA,CACA,GAAM,CAAE,MAAAwB,EAAO,OAAAC,CAAO,EAAIF,EACpB9B,EAAY,KAAK,IAAI+B,EAAOC,CAAM,EAClCC,EAAoBjC,EAAY+B,EAChCG,EAAoBlC,EAAYgC,EAEhCG,EAAWN,EAAa,MAAM,GAC9BO,EAAW,KAAK,OAAO,QAAQ,OAE/B,CAACC,EAAaC,EAAcC,CAAiB,EAAOtC,EAAK,IAAM,CACnE,IAAMuC,EAAWX,EAAa,QAAQ,CAACM,EAAUA,EAAUC,EAAU,KAAK,eAAe,CAAC,EAEpFtB,EAAQ0B,EAAS,MAAM,CAAC,EAAG,EAAG,EAAG,CAAC,EAAG,CAACL,EAAUA,EAAUC,EAAU,CAAC,CAAC,EACtEpB,EAASwB,EAAS,MAAM,CAAC,EAAG,EAAG,EAAG,CAAC,EAAG,CAACL,EAAUA,EAAUC,EAAU,CAAC,CAAC,EACvEnB,EAAc,KAAK,gBAClBwB,GAAQD,EAAS,MAAM,CAAC,EAAG,EAAG,EAAG,CAAC,EAAG,CAACL,EAAUA,EAAUC,EAAU,KAAK,OAAO,QAAQ,MAAM,CAAC,EAAG,CAAC,EACnGM,GAAO,CAAC,EACf,MAAO,CAAC5B,EAAOE,EAAQC,CAAW,CACpC,CAAC,EAEKJ,EAAU,CAAC,EACX8B,EAAa,MAAML,EAAa,MAAM,EACtCM,EAAY,MAAMP,EAAY,MAAM,EAC1C,QAASQ,EAAM,EAAGA,EAAMV,EAAUU,IAChC,QAASC,EAAM,EAAGA,EAAMX,EAAUW,IAChC,QAASC,EAAS,EAAGA,EAASX,EAAUW,IAAU,CAChD,IAAMC,EAAQC,GAAQN,EAAWE,GAAKC,GAAKC,GAAQ,EAAE,EACrD,GAAI,CAACxC,GAAkByC,EAAQzC,EAAgB,CAC7C,IAAM2C,GAAQJ,EAAMG,GAAQL,EAAUC,GAAKC,GAAKC,GAAQ,EAAE,GAAKZ,EAAYF,EACrEkB,GAAQN,EAAMI,GAAQL,EAAUC,GAAKC,GAAKC,GAAQ,EAAE,GAAKZ,EAAYD,EACrEkB,EAAe,KAAK,IAAIR,EAAUC,GAAKC,GAAKC,GAAQ,EAAE,EAAI,KAAK,OAAO,QAAQA,GAAQ,EAAKZ,EAAYF,EACvGoB,EAAgB,KAAK,IAAIT,EAAUC,GAAKC,GAAKC,GAAQ,EAAE,EAAI,KAAK,OAAO,QAAQA,GAAQ,EAAKZ,EAAYD,EACxG3C,EAAK2D,EAAOE,EAAa,EACzBE,EAAKH,EAAOE,EAAc,EAC1BE,EAAM,CAAE,IAAAV,EAAK,IAAAC,EAAK,OAAAC,CAAO,EACzB,CAAE,WAAAS,EAAY,MAAAC,CAAM,EAAI,KAAK,gBAC/B,MAAM,KAAK,sBAAsBlB,EAAkCgB,CAAG,EACtE,CAAE,WAAY,EAAG,MAAO,CAAE,EAC9B1C,EAAQ,KAAK,CACX,IAAK,IAAI6C,GAAYnE,EAAG+D,EAAG/D,EAAI6D,EAAYE,EAAID,CAAW,EAC1D,MAAAL,EACA,WAAYA,EAAQQ,EACpB,MAAAC,EACA,GAAGF,CACL,CAAC,CACH,CACF,CAIJ,OAAAlB,EAAY,QAAQ,EACpBC,EAAa,QAAQ,EACrBC,EAAkB,QAAQ,EACnB1B,CACT,CAEA,MAAc,sBAAsB8C,EAA4BJ,EAAmD,CACjH,GAAM,CAAE,IAAAV,EAAK,IAAAC,EAAK,OAAAC,CAAO,EAAIQ,EACvBK,EAAc,MAAMD,EAAc,MAAM,EAC9C,OAAO,MAAM,KAAK,OAAO,QAAQ,MAAM,EAAE,KAAK,CAAC,EAC5C,IAAI,CAACE,EAAGC,IAAMF,EAAYf,GAAKC,GAAKC,GAAQe,EAAE,EAC9C,IAAI,CAACN,EAAYC,KAAW,CAC3B,WAAAD,EACA,MAAAC,CACF,EAAE,EACD,OAAO,CAACM,EAAKC,IAAUD,EAAI,WAAaC,EAAK,WAAaD,EAAMC,CAAK,CAC1E,CACF,EAjNaC,GAAN9E,GAAM8E,GACG,qBAAuB,CAAC,EAAG,GAAI,GAAI,GAAI,IAAK,IAAK,IAAK,KAAM,IAAI,ECPzE,IAAMC,GAAN,cAAyBC,EAAe,CAC7C,YAAYC,EAAqB,GAAM,CACrC,IAAMC,EAAS,CACb,mBAAAD,EACA,aAAcE,GACd,QAAS,CAAC,MAAM,EAChB,GAAIF,EACA,CACA,QAASG,GACT,QAASC,EACX,EACE,CACA,QAASC,GACT,gBAAiB,EACnB,CACJ,EAEA,MAAMJ,CAAM,CACd,CAEA,IAAW,oBAA8B,CACvC,OAAO,KAAK,OAAO,kBACrB,CAEA,IAAW,SAAmB,CAC5B,OAAO,KAAK,OAAO,OACrB,CAEA,MAAa,YAAYK,EAAkBC,EAA6D,CAEtG,OADyB,MAAM,KAAK,OAAOD,EAAOC,CAAa,GACvC,IAAKC,GAAQ,IAAIC,GAAcD,EAAI,MAAOA,EAAI,YAAa,CAAE,MAAOA,EAAI,WAAY,OAAQA,EAAI,WAAY,CAAC,CAAC,CACxI,CAEmB,qBAA8B,CAC/C,OAAO,KAAK,mBAAqBE,GAAoCC,EACvE,CAEmB,2BAA2BC,EAA8F,CAC1I,OAAO,MAAM,2BAA2BA,CAAS,CACnD,CACF,EClDO,SAASC,IAAiBC,EAAuBC,EAAqB,GAAM,CACjF,IAAMC,EAAM,IAAIC,GAAWF,CAAkB,EAC7C,OAAAC,EAAI,eAAeF,CAAO,EACnBE,CACT,CCPO,IAAME,GAAN,cAAsCC,EAAkB,CAAxD,kCACL,KAAmB,MAAQ,0BAC7B,ECNO,IAAMC,GAAN,KAAwB,CAE7B,MAAa,KAAKC,EAA2D,CAC3E,OAAOA,EAAY,MAAM,KAAK,IAAI,CAAC,CACrC,CAEA,MAAa,KAAkB,CAC7B,MAAM,IAAI,MAAM,yCAAyC,CAC3D,CACF,ECFA,eAAsBC,GACpBC,EACAC,EAEAC,EACAC,EAEAC,EAAwF,CAAC,CAAE,YAAAC,CAAY,IAAMA,EAC7G,CACA,IAAMC,EAAYN,EAAc,IAAKO,GAAkBC,GAAoBD,CAAY,EACnFH,EAAoBG,CAAY,EAChCA,EAAa,SAAU,EACrBE,EAAgDN,IACpDF,aAAoBS,GAChB,MAAMC,GAAmBV,EAAOK,CAAS,EACzC,MAAMM,GAAaX,EAAOK,CAAS,GAEnCO,EAAU,MAAMX,EAAeO,CAAK,EAC1C,OAAAA,EAAM,QAASK,GAAMA,aAAgBJ,IAAUI,EAAE,QAAQ,CAAC,EACnDD,CACT,CAEA,eAAsBE,GACpBR,EACAN,EAEAe,EACAb,EAEAC,EACA,CACA,OAAOL,GACL,CAACQ,CAAY,EACbN,EACA,MAAOQ,GAAUO,EAAcP,EAAM,EAAE,EACvCN,EACAC,CACF,CACF,CC3CO,IAAMa,GAAgB,GAEhBC,GAAc,CACzB,IAAIC,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,CAC9B,EAEaC,GAAqC,CAAC,QAAS,QAAS,MAAM,ECFpE,IAAMC,GAAN,cAA+BC,EAAe,CACnD,aAAc,CACZ,IAAMC,EAAS,CACb,mBAAoB,GACpB,aAAcC,GACd,QAAS,CAAC,MAAM,EAChB,QAASC,GACT,QAASC,GACT,mBAAoB,GACpB,YAAa,CAAC,EAAG,GAAI,GAAI,GAAI,IAAK,IAAK,GAAG,CAC5C,EAEA,MAAMH,CAAM,CACd,CAEA,IAAW,SAAmB,CAC5B,OAAO,KAAK,OAAO,OACrB,CAEA,MAAa,YAAYI,EAAkBC,EAA6D,CAEtG,OADyB,MAAM,KAAK,OAAOD,EAAOC,CAAa,GACvC,IAAKC,GAAQ,IAAIC,GAAcD,EAAI,MAAOA,EAAI,YAAa,CAAE,MAAOA,EAAI,WAAY,OAAQA,EAAI,WAAY,CAAC,CAAC,CACxI,CAEmB,qBAA8B,CAC/C,MAAO,0BACT,CAEmB,2BAA2BE,EAA8F,CAC1I,OAAO,MAAM,2BAA2BA,CAAS,CACnD,CACF,ECzBO,IAAMC,GAAO,CAClB,eAAgB,IAAIC,GACpB,iBAAkB,IAAIC,GACtB,WAAY,IAAIC,GAChB,kBAAmB,IAAIC,GACvB,sBAAuB,IAAIC,GAC3B,mBAAoB,IAAIC,GACxB,kBAAmB,IAAIC,GACvB,aAAc,IAAIC,EACpB,EASaC,IAAiB,CAACC,EAAkBC,IAA6DX,GAAK,eAAe,YAAYU,EAAOC,CAAO,EAS/IC,IAAmB,CAACF,EAAkBC,IAA+DX,GAAK,iBAAiB,YAAYU,EAAOC,CAAO,EASrJE,IAAa,CAACH,EAAkBC,IAA0DX,GAAK,WAAW,YAAYU,EAAOC,CAAO,EASpIG,IAAuBJ,GAAmEV,GAAK,kBAAkB,gBAAgBU,CAAK,EAWtIK,IAA2BL,GAAmEV,GAAK,sBAAsB,gBAAgBU,CAAK,EAY9IM,IAAyBN,GAA6DV,GAAK,mBAAmB,sBAAsBU,CAAK,EASzIO,IAA4BP,GAAmEV,GAAK,kBAAkB,mBAAmBU,CAAK,EAS9IQ,IAAuBR,GAAiFV,GAAK,aAAa,oBAAoBU,CAAK,EAEnJS,IAA2BC,GAAgBpB,GAAK,eAAe,KAAKoB,CAAG,EACvEC,IAA6BD,GAAgBpB,GAAK,iBAAiB,KAAKoB,CAAG,EAC3EE,IAAuBF,GAAgBpB,GAAK,WAAW,KAAKoB,CAAG,EAC/DG,IAAyBH,GAAgBpB,GAAK,kBAAkB,KAAKoB,CAAG,EACxEI,IAA6BJ,GAAgBpB,GAAK,sBAAsB,KAAKoB,CAAG,EAChFK,IAA4BL,GAAgBpB,GAAK,mBAAmB,KAAKoB,CAAG,EAC5EM,IAA2BN,GAAgBpB,GAAK,kBAAkB,KAAKoB,CAAG,EAC1EO,IAAsBP,GAAgBpB,GAAK,aAAa,KAAKoB,CAAG,EAGhEQ,IAAyBT,IACzBU,IAAcpB,IACdqB,IAAkBhB,ICtGxB,IAAMiB,GAAN,cAAqEC,EAAwB,CAClG,YAEYC,EAEAC,EAEAC,EACV,CACA,MAAM,EANI,gBAAAF,EAEA,WAAAC,EAEA,oBAAAC,CAGZ,CACF,EAEaC,GAAN,cAAmFL,EAA0E,CAClK,MAAsB,KAA+C,CACnE,IAAMM,EAAgB,MAAM,KAAK,WAE3BC,EAAwB,MAAMC,GAClCF,EACA,KAAK,MACL,MAAOG,GAAU,QAAQ,IACvBA,EAAM,IAAKC,GAASC,GAAK,kBAAkB,mBAAmBD,CAAI,CAA6B,CACjG,EACA,KAAK,cACP,EAEA,OAAOJ,EAAc,IACnB,CAACM,EAAcC,IAAMC,GAAmCF,EAAcL,EAAsBM,EAAE,CAChG,CACF,CAEA,kBAAmB,CACjB,OAAO,IAAIE,GAA2B,KAAM,KAAK,KAAK,CACxD,CACF,EAEaC,GAAN,cAAsFhB,EAA8F,CACzL,MAAsB,KAAyD,CAC7E,IAAMY,EAAe,MAAM,KAAK,WAChC,GAAI,CAACA,EACH,OAGF,IAAMK,EAAkB,MAAMC,GAC5BN,EACA,KAAK,MACJF,GAASC,GAAK,kBAAkB,mBAAmBD,CAAI,EACxD,KAAK,cACP,EAEA,OAAOI,GAA0BF,EAAcK,CAAe,CAChE,CAEA,kBAAmB,CACjB,OAAO,IAAIE,GAA8B,KAAM,KAAK,KAAK,CAC3D,CACF,EAEaC,GAAN,cAAuHf,EAAuC,CAC1J,kBAAmB,CAC1B,OAAO,IAAIgB,GAA4C,KAAM,KAAK,KAAK,CACzE,CAEA,qBAAsB,CACpB,OAAO,IAAIC,GAA8B,KAAM,KAAK,KAAK,CAC3D,CACF,EAEaC,GAAN,cAA0HP,EAA0C,CAChK,kBAAmB,CAC1B,OAAO,IAAIQ,GAA+C,KAAM,KAAK,KAAK,CAC5E,CAEA,oBAAqB,CACnB,OAAO,IAAIC,GAAgC,KAAM,KAAK,KAAK,CAC7D,CACF,EC3EO,IAAMC,GAAN,cAAkEC,EAAwB,CAC/F,YAEYC,EAEAC,EAEAC,EACV,CACA,MAAM,EANI,gBAAAF,EAEA,WAAAC,EAEA,oBAAAC,CAGZ,CACF,EAEaC,GAAN,cAAgFL,EAAuE,CAC5J,MAAsB,KAA+C,CACnE,IAAMM,EAAgB,MAAM,KAAK,WAC3BC,EAAqB,MAAMC,GAC/BF,EACA,KAAK,MACL,MAAOG,GAAU,QAAQ,IAAIA,EAAM,IAAKC,GAASC,GAAK,aAAa,oBAAoBD,CAAI,CAAoC,CAAC,EAChI,KAAK,cACP,EACA,OAAOJ,EAAc,IAAI,CAACM,EAAcC,IAAM,CAC5C,GAAM,CAAE,IAAAC,EAAK,OAAAC,EAAQ,kBAAAC,CAAkB,EAAIT,EAAmBM,GAC9D,OAAOI,GAAcC,GAAiBN,EAAcG,EAAQC,CAAiB,EAAGF,CAAG,CACrF,CAAC,CACH,CAEA,qBAAsB,CACpB,OAAO,IAAIK,GAA8B,KAAM,KAAK,KAAK,CAC3D,CACF,EAEaC,GAAN,cAAmFpB,EAA2F,CACnL,MAAsB,KAAyD,CAC7E,IAAMY,EAAe,MAAM,KAAK,WAChC,GAAI,CAACA,EAAc,OACnB,GAAM,CAAE,IAAAE,EAAK,OAAAC,EAAQ,kBAAAC,CAAkB,EAAI,MAAMK,GAC/CT,EACA,KAAK,MACJF,GAASC,GAAK,aAAa,oBAAoBD,CAAI,EACpD,KAAK,cACP,EACA,OAAOO,GAAcC,GAAiBN,EAAcG,EAAQC,CAAiB,EAAGF,CAAG,CACrF,CAEA,qBAAsB,CACpB,OAAO,IAAIQ,GAAiC,KAAM,KAAK,KAAK,CAC9D,CACF,EAEaC,GAAN,cAAoHlB,EAAoC,CACpJ,qBAAsB,CAC7B,OAAO,IAAImB,GAA+C,KAAM,KAAK,KAAK,CAC5E,CAEA,qBAAsB,CACpB,OAAO,IAAIC,GAA8B,KAAM,KAAK,KAAK,CAC3D,CACF,EAEaC,GAAN,cAAuHN,EAAuC,CAC1J,qBAAsB,CAC7B,OAAO,IAAIO,GAAkD,KAAM,KAAK,KAAK,CAC/E,CAEA,oBAAqB,CACnB,OAAO,IAAIC,GAAgC,KAAM,KAAK,KAAK,CAC7D,CACF,ECzEO,IAAMC,GAAN,cAAqEC,EAAwB,CAClG,YAEYC,EAEAC,EACV,CACA,MAAM,EAJI,gBAAAD,EAEA,WAAAC,CAGZ,CACF,EAEaC,GAAN,cAAsGJ,EAAyE,CACpL,MAAsB,KAA8C,CAClE,IAAMK,EAAgB,MAAM,KAAK,WAQjC,OAPoB,MAAMC,GACxBD,EACA,KAAK,MACJE,GAAU,QAAQ,IAAIA,EAAM,IAAKC,GAASC,GAAK,mBAAmB,sBAAsBD,CAAI,CAA0B,CAAC,EACxH,KACCE,GAAiBA,EAAa,UAAU,MAAM,KAAM,CAAE,iBAAkB,EAAK,CAAC,CACjF,GACmB,IAAI,CAACC,EAAYC,IAAMC,GAAkCR,EAAcO,GAAID,CAAU,CAAC,CAC3G,CAEA,qBAAsB,CACpB,OAAO,IAAIG,GAA+C,KAAM,KAAK,KAAK,CAC5E,CAEA,kBAAmB,CACjB,OAAO,IAAIC,GAA4C,KAAM,KAAK,KAAK,CACzE,CACF,EAEaC,GAAN,cAAwGhB,EAA6F,CAC1M,MAAsB,KAAwD,CAC5E,IAAMU,EAAe,MAAM,KAAK,WAChC,GAAI,CAACA,EAAc,OACnB,IAAMC,EAAa,MAAMM,GACvBP,EACA,KAAK,MACJF,GAASC,GAAK,mBAAmB,sBAAsBD,CAAI,EAC5D,KAECE,GAAiBA,EAAa,UAAU,MAAM,KAAM,CAAE,iBAAkB,EAAK,CAAC,CACjF,EACA,OAAOG,GAAyBH,EAAcC,CAAU,CAC1D,CAEA,qBAAsB,CACpB,OAAO,IAAIO,GAAkD,KAAM,KAAK,KAAK,CAC/E,CAEA,kBAAmB,CACjB,OAAO,IAAIC,GAA+C,KAAM,KAAK,KAAK,CAC5E,CACF,ECnDO,IAAMC,GAAN,cAAkEC,EAAwB,CAC/F,YAEYC,EAEAC,EAEAC,EACV,CACA,MAAM,EANI,gBAAAF,EAEA,WAAAC,EAEA,wBAAAC,CAGZ,CAEA,IAAc,aAAyD,CACrE,OAAO,KAAK,mBACRC,GAAK,sBACLA,GAAK,iBACX,CACF,EAEaC,GAAN,cAAgFN,EAAqE,CAC1J,MAAsB,KAA6C,CACjE,IAAMO,EAAgB,MAAM,KAAK,WAC3BC,EAAaD,EAAc,IAAKE,GAAQA,EAAI,SAAS,EACrDC,EAAgD,KAAK,iBAAoBC,GAC3E,MAAMC,GAAmB,KAAK,MAAOJ,CAAU,EAC/C,MAAMK,GAAa,KAAK,MAAOL,CAAU,EACvCM,EAAsB,MAAM,QAAQ,IAAIJ,EAAM,IAAKK,GAAS,KAAK,YAAY,gBAAgBA,CAAI,CAAC,CAAC,EACzG,OAAAL,EAAM,QAASM,GAAMA,aAAgBL,IAAUK,EAAE,QAAQ,CAAC,EAC3CT,EACZ,OAAO,CAACU,EAAeC,IAAMJ,EAAoBI,EAAE,EACnD,IAAI,CAACC,EAAcD,IAAME,GAAiCD,EAAcL,EAAoBI,EAAE,CAAC,CAEpG,CAEA,qBAAsB,CACpB,OAAO,IAAIG,GAA+C,KAAM,KAAK,KAAK,CAC5E,CAEA,kBAAmB,CACjB,OAAO,IAAIC,GAA4C,KAAM,KAAK,KAAK,CACzE,CAEA,qBAAsB,CACpB,OAAO,IAAIC,GAA8B,KAAM,KAAK,KAAK,CAC3D,CACF,EAEaC,GAAN,cAAmFxB,EAAyF,CACjL,MAAsB,KAAuD,CAC3E,IAAMmB,EAAe,MAAM,KAAK,WAChC,GAAI,CAACA,EACH,OAEF,GAAM,CAAE,UAAAM,CAAU,EAAIN,EAChBT,EAAgD,KAAK,iBAAoBC,GAC3E,MAAMC,GAAmB,KAAK,MAAO,CAACa,CAAS,CAAC,EAChD,MAAMZ,GAAa,KAAK,MAAO,CAACY,CAAS,CAAC,EACxCC,EAAY,MAAM,KAAK,YAAY,gBAAgBhB,EAAM,EAAE,EACjE,OAAAA,EAAM,QAASM,GAAMA,aAAgBL,IAAUK,EAAE,QAAQ,CAAC,EACnDI,GAAiCD,EAAcO,CAAS,CACjE,CAEA,qBAAsB,CACpB,OAAO,IAAIC,GAAkD,KAAM,KAAK,KAAK,CAC/E,CAEA,kBAAmB,CACjB,OAAO,IAAIC,GAA+C,KAAM,KAAK,KAAK,CAC5E,CAEA,oBAAqB,CACnB,OAAO,IAAIC,GAAgC,KAAM,KAAK,KAAK,CAC7D,CACF,EC1EO,IAAMC,GAAN,cAA2CC,EAAwB,CAExE,YAAsBC,EAA4BC,EAAgC,IAAIC,GAAyB,CAC7G,MAAM,EADc,WAAAF,EAA4B,aAAAC,CAElD,CACF,EAEaE,GAAN,cAAiCL,EAAqC,CAC3E,MAAsB,KAAgC,CACpD,GAAM,CAAE,MAAAE,EAAO,QAAAC,CAAQ,EAAI,KACvBG,EACJ,GAAIH,aAAmBI,GAAyBD,EAASE,GAAK,iBAAiB,YAAYN,EAAOC,CAAO,UAChGA,aAAmBC,GAAuBE,EAASE,GAAK,eAAe,YAAYN,EAAOC,CAAO,UACjGA,aAAmBM,GAAmBH,EAASE,GAAK,WAAW,YAAYN,EAAOC,CAAO,MAC7F,OAAM,IAAI,MAAM,sHAAsH,EAC3I,OAAOG,CACT,CAEQ,gCAAmE,CACzE,OAAO,IAAI,QAAiC,CAACI,EAASC,IAAW,CAC/D,KAAK,IAAI,EACN,KAAMC,GAAeF,EAAQE,EAAW,IAAKC,GAAcC,GAAwB,CAAC,EAAGD,CAAS,CAAC,CAAC,CAAC,EACnG,MAAOE,GAAQJ,EAAOI,CAAG,CAAC,CAC/B,CAAC,CACH,CAEA,kBAAkBC,EAAqB,GAAO,CAC5C,OAAO,IAAIC,GACT,KAAK,+BAA+B,EACpC,KAAK,MACLD,CACF,CACF,CAEA,qBAAsB,CACpB,OAAO,IAAIE,GACT,KAAK,+BAA+B,EACpC,KAAK,KACP,CACF,CAEA,kBAAmB,CACjB,OAAO,IAAIC,GACT,KAAK,+BAA+B,EACpC,KAAK,KACP,CACF,CACF,EAEaC,GAAN,cAAmCpB,EAA+C,CACvF,MAAsB,KAA0C,CAC9D,IAAMqB,EAAiB,MAAM,IAAIhB,GAAmB,KAAK,MAAO,KAAK,OAAO,EACxEiB,EAAgCD,EAAe,GACnD,OAAAA,EAAe,QAASE,GAAkB,CACpCA,EAAc,MAAQD,EAA8B,QAAOA,EAAgCC,EACjG,CAAC,EACMD,CACT,CAEQ,+BAA4E,CAElF,OAAO,IAAI,QAA2C,MAAOZ,GAAY,CACvE,IAAMG,EAAY,MAAM,KAAK,IAAI,EACjCH,EAAQG,EAAYC,GAA4B,CAAC,EAAGD,CAAS,EAAI,MAAS,CAC5E,CAAC,CACH,CAEA,kBAAkBG,EAAqB,GAAO,CAC5C,OAAO,IAAIQ,GACT,KAAK,8BAA8B,EACnC,KAAK,MACLR,CACF,CACF,CAEA,qBAAsB,CACpB,OAAO,IAAIS,GACT,KAAK,8BAA8B,EACnC,KAAK,KACP,CACF,CAEA,kBAAmB,CACjB,OAAO,IAAIC,GACT,KAAK,8BAA8B,EACnC,KAAK,KACP,CACF,CACF,ECjGO,SAASC,IAAiBC,EAAkBC,EAAgC,IAAIC,GAA+C,CACpI,OAAO,IAAIC,GAAqBH,EAAOC,CAAO,CAChD,CAEO,SAASG,GAAeJ,EAAkBC,EAAgC,IAAIC,GAA6C,CAChI,OAAO,IAAIG,GAAmBL,EAAOC,CAAO,CAC9C,CCLA,eAAsBK,IAAuBC,EAAkBC,EAAiG,CAC9J,OAAOC,GAAeF,EAAO,IAAIG,GAAsBF,EAAgB,CAAE,cAAAA,CAAc,EAAI,CAAC,CAAC,CAAC,EAC3F,kBAAkB,EAClB,oBAAoB,CACzB,CAEA,eAAsBG,IAAmBJ,EAAkBK,EAAoC,CAAC,EAA4E,CAC1K,OAAOH,GAAeF,EAAO,IAAIM,GAAkBD,CAAa,CAAC,EAC9D,kBAAkB,EAClB,oBAAoB,CACzB,CAEO,IAAME,IAAWR,IClBjB,SAASS,GAAkBC,EAA+BC,EAA+B,CAC9F,GAAID,EAAK,SAAWC,EAAK,OAAQ,MAAM,IAAI,MAAM,gDAAgD,EACjG,IAAMC,EAAQ,MAAM,KAAKF,CAAI,EACvBG,EAAQ,MAAM,KAAKF,CAAI,EAC7B,OAAO,KAAK,KACVC,EACG,IAAI,CAACE,EAAKC,IAAMD,EAAMD,EAAME,EAAE,EAC9B,OAAO,CAACC,EAAKC,IAASD,EAAOC,EAAOA,EAAO,CAAC,CACjD,CACF,CCJO,IAAMC,GAAN,KAAkB,CAIvB,YAAYC,EAAkJC,EAAoB,GAAK,CACrL,KAAK,mBAAqBA,EAC1B,IAAMC,EAAa,MAAM,QAAQF,CAAM,EAAIA,EAAS,CAACA,CAAM,EAC3D,GAAI,CAACE,EAAW,OAAQ,MAAM,IAAI,MAAM,yDAAyD,EACjG,IAAIC,EAAQ,EACNC,EAAoB,IAAM,UAAUD,MAC1C,KAAK,oBAAsBD,EAAW,IAAKG,GAAS,CAClD,GAAIA,aAAgBC,GAAwB,OAAOD,EACnD,GAAIA,aAAgB,aAAc,OAAO,IAAIC,GAAuBF,EAAkB,EAAG,CAACC,CAAI,CAAC,EAC/F,GAAIA,EAAK,YAAcA,EAAK,sBAAsB,aAAc,OAAO,IAAIC,GAAuBF,EAAkB,EAAG,CAACC,EAAK,UAAU,CAAC,EACxI,MAAM,IAAI,MAAM,qMAAqM,CACvN,CAAC,CACH,CAEA,IAAW,oBAA+C,CAAE,OAAO,KAAK,mBAAqB,CAE7F,IAAW,mBAA4B,CAAE,OAAO,KAAK,kBAAoB,CAElE,oBAAoBE,EAA+BC,EAAqC,CAC7F,OAAOA,EACJ,IAAKC,GAAMC,GAAkBD,EAAGF,CAAe,CAAC,EAChD,OAAO,CAACI,EAAIC,IAAOD,EAAKC,EAAI,CAAC,GAAKJ,EAAY,QAAU,EAC7D,CAEO,gBAAgBD,EAA0C,CAC/D,OAAO,KAAK,mBACT,IAAI,CAAC,CAAE,YAAAC,EAAa,MAAAK,CAAM,IAAM,IAAIC,GAAUD,EAAO,KAAK,oBAAoBN,EAAiBC,CAAW,CAAC,CAAC,EAC5G,OAAO,CAACO,EAAMC,IAAUD,EAAK,SAAWC,EAAK,SAAWD,EAAOC,CAAK,CACzE,CAEO,cAAcT,EAA0C,CAC7D,IAAMU,EAAY,KAAK,gBAAgBV,CAAe,EACtD,OAAQU,EAAU,SAAW,KAAK,mBAAsBA,EAAY,IAAIH,GAAU,UAAWG,EAAU,QAAQ,CACjH,CAEO,QAAc,CACnB,MAAO,CACL,kBAAmB,KAAK,mBACxB,mBAAoB,KAAK,oBAAoB,IAAKC,GAAOA,EAAG,OAAO,CAAC,CACtE,CACF,CAEA,OAAc,SAASC,EAAwB,CAC7C,IAAMC,EAAqBD,EAAK,mBAAmB,IAAKD,GAAYZ,GAAuB,SAASY,CAAE,CAAC,EACvG,OAAO,IAAInB,GAAYqB,EAAoBD,EAAK,iBAAiB,CACnE,CACF,EClDO,SAASE,IAAuBC,EAAuB,CAC5D,IAAMC,EAAM,IAAIC,GAChB,OAAAD,EAAI,eAAeD,CAAO,EACnBC,CACT,CCHO,SAASE,IAAiBC,EAAYC,EAA4B,CACvE,GAAM,CAAE,MAAAC,EAAO,OAAAC,CAAO,EAAI,IAAIC,GAAWH,EAAW,MAAOA,EAAW,MAAM,EAE5E,GAAIC,GAAS,GAAKC,GAAU,EAC1B,MAAM,IAAI,MAAM,uCAAuC,KAAK,UAAU,CAAE,MAAAD,EAAO,OAAAC,CAAO,CAAC,GAAG,EAG5F,GAAI,MAAM,QAAQH,CAAO,EAEvB,OAAQA,EAAuB,IAAKK,GAAQN,IAAcM,EAAK,CAAE,MAAAH,EAAO,OAAAC,CAAO,CAAgB,CAAC,EAGlG,GAAIG,GAAoBN,CAAO,EAAG,CAChC,IAAMO,EAAmBP,EAAQ,UAAU,QAAQE,EAAOC,CAAM,EAC1DK,EAAmBR,EAAQ,mBAAmB,QAAQO,EAAiB,IAAI,MAAOA,EAAiB,IAAI,MAAM,EACnH,OAAOE,GAAwBC,GAAwBV,EAASO,CAAgB,EAAGC,CAAgB,CACrG,CAEA,OAAIG,GAAoBX,CAAO,EACtBU,GAAwBV,EAASA,EAAQ,UAAU,QAAQE,EAAOC,CAAM,CAAC,EAG9EH,aAAmBY,IAAiBZ,aAAmBa,GACjDb,EAAgB,QAAQE,EAAOC,CAAM,EAGxCH,CACT,CCTO,IAAMc,IAAcA", + "names": ["tfjs_esm_exports", "__export", "ii", "oa", "sa", "cu", "pu", "mu", "fu", "Zn", "Go", "ia", "aa", "Wo", "kl", "la", "ua", "ca", "ma", "pa", "Uo", "El", "lp", "ap", "cg", "Ho", "ai", "up", "cp", "p1", "Sb", "Py", "lo", "qo", "uo", "pp", "_l", "li", "Ko", "mp", "jo", "Al", "fp", "dp", "Xo", "Yo", "da", "fa", "Zo", "My", "ra", "hp", "ha", "Jo", "gp", "xp", "yp", "$l", "Xd", "jd", "i0", "vb", "bp", "ts", "wp", "qd", "xa", "ga", "es", "ui", "ya", "Cp", "Dl", "ba", "rs", "ns", "Yd", "os", "Ii", "Si", "Bc", "wa", "ci", "Ph", "Ca", "ss", "Ly", "Ip", "co", "Sp", "ye", "Ia", "Sa", "va", "zo", "Rl", "Np", "Ch", "Bn", "is", "Na", "Ta", "vp", "as", "ka", "f1", "Ea", "_a", "Aa", "m1", "wlt", "_u", "ls", "cs", "Fl", "kp", "Tp", "Ep", "us", "ps", "ms", "fs", "ds", "$a", "du", "_p", "hs", "pi", "Ra", "Fa", "Oa", "Da", "k0", "gs", "mi", "Wr", "Ws", "fi", "xs", "Clt", "ys", "bs", "ws", "hu", "Tn", "Ap", "$p", "Dp", "Ol", "x0", "Rp", "Qo", "Pa", "Xe", "Cs", "vs", "di", "Ss", "Op", "Is", "Fp", "Ns", "qa", "Ts", "ks", "Bi", "La", "Pp", "hi", "Ma", "qi", "_s", "Ba", "Es", "za", "gi", "Ds", "Va", "xi", "Pl", "Ga", "Ll", "Ml", "Lp", "yi", "As", "zl", "Rs", "po", "Wa", "Bl", "Vl", "Gl", "Fs", "$s", "Jr", "Os", "Ps", "Ft", "pe", "Jn", "Ua", "Ha", "Qn", "Mp", "bi", "Wl", "Ilt", "Ka", "wi", "Ci", "Ee", "ax", "lx", "X", "LE", "Zp", "qu", "Ai", "ux", "cx", "px", "mx", "fx", "dx", "Yl", "gx", "gE", "v", "BE", "Di", "xx", "yx", "bx", "Zl", "wx", "r6", "GE", "Ri", "Vr", "nx", "wt", "BZ", "J", "Cx", "Cr", "sn", "wn", "ne", "Ix", "Sx", "vx", "Nx", "K$", "Qp", "In", "em", "Tx", "Ex", "_lt", "Jl", "rm", "hh", "Xu", "nm", "un", "AR", "ch", "W0", "_x", "Fi", "UZ", "Kl", "WE", "Ax", "bpt", "vt", "wpt", "pt", "$x", "Dx", "lv", "UE", "Oi", "ypt", "xpt", "uv", "Pn", "z", "$r", "Rx", "Fx", "er", "rr", "Ox", "Yu", "au", "xo", "Tpt", "kpt", "Pi", "Yp", "hM", "uu", "Li", "p6", "ox", "vpt", "u0", "Jd", "zg", "nlt", "ik", "yK", "bK", "Re", "ln", "tl", "Xl", "Gs", "d6", "j$", "Pv", "_r", "xm", "Px", "Lx", "Mx", "De", "Ur", "ED", "Ql", "om", "Ln", "pv", "KE", "L7", "M7", "hD", "zx", "Sr", "tu", "Gx", "sm", "im", "Rr", "eu", "am", "Wx", "dX", "jE", "Lt", "yE", "Ir", "ru", "Hx", "XE", "Sn", "ve", "ah", "YE", "_D", "Ja", "Mi", "qx", "Kx", "H8", "AD", "Zu", "o6", "D", "ZE", "JE", "Ht", "gh", "Qa", "Bs", "Ei", "cr", "yr", "T", "QE", "cn", "t_", "e_", "r_", "n_", "jx", "an", "ou", "Jg", "Xx", "Cpt", "o_", "s_", "i_", "a_", "v_", "tc", "N_", "zi", "su", "Spt", "Za", "ty", "Xp", "K8", "h1", "Lu", "WZ", "$D", "Fr", "lm", "Npt", "R", "pr", "T_", "k_", "E_", "__", "lu", "um", "cm", "mt", "i6", "lh", "mh", "pm", "mm", "q8", "Q", "Q4", "Ept", "rlt", "tlt", "elt", "wT", "A_", "Yr", "ey", "fX", "fm", "dm", "Rt", "hm", "dh", "gm", "ec", "Le", "iu", "zs", "nu", "hX", "u6", "mX", "mr", "Se", "Mt", "ym", "Mn", "nr", "bo", "ry", "gX", "ct", "ft", "Wu", "ny", "$i", "ur", "Me", "Vs", "rx", "$_", "D_", "R_", "go", "OE", "B", "Dr", "Ipt", "oy", "ic", "Ot", "bm", "sy", "Elt", "klt", "wm", "vr", "sr", "F_", "y", "wK", "CK", "iy", "Bx", "dlt", "cR", "PE", "Um", "olt", "dM", "t1e", "dd", "_e", "ly", "Ne", "It", "$U", "QS", "DU", "RU", "FU", "OU", "Pg", "r", "__require", "e", "gr", "Wt", "PU", "n", "o", "Tl", "T1", "$lt", "N1", "Ue", "mo", "t", "Fn", "g1", "x1", "zu", "He", "fo", "Mu", "ho", "C1", "v1", "b1", "Rn", "S1", "Vp", "Bg", "m0", "s", "i", "a", "u", "l", "Ls", "y1", "o4", "w1", "Bp", "I1", "p0", "gt", "c", "p", "m", "f", "d", "iE", "aE", "u_", "l_", "rv", "p_", "c_", "nv", "f_", "m_", "ov", "h_", "d_", "sv", "x_", "g_", "iv", "h", "g", "b_", "y_", "av", "w_", "I_", "C_", "Yx", "w", "C", "N", "_", "b", "$", "P", "V", "G", "W", "q", "H", "fh", "gNt", "S_", "aj", "lj", "uj", "cj", "pj", "mj", "Ju", "gN", "Zb", "ig", "BW", "VW", "GW", "WW", "fI", "Ok", "Fk", "it", "jt", "qe", "ke", "fe", "Ae", "_n", "or", "Hn", "Lr", "L", "U", "x", "A", "F", "Ru", "Y", "ut", "xt", "Dt", "ie", "Mo", "j", "Z", "et", "rt", "ot", "at", "nt", "Yc", "dt", "ht", "bt", "Et", "At", "Vt", "Gt", "Xt", "hr", "Xn", "Zt", "ce", "he", "We", "Mr", "zr", "qn", "Kn", "Xr", "Zi", "Il", "Rd", "Md", "Tr", "Ji", "Gk", "Fd", "Sl", "Xc", "Qi", "Wk", "Uk", "gI", "pg", "Od", "en", "mg", "xI", "yI", "vg", "EI", "Kt", "ea", "bI", "Hk", "wI", "CI", "YS", "II", "Pd", "fg", "dg", "Ld", "vl", "qk", "gg", "hg", "SI", "Ag", "zd", "vI", "ZS", "$g", "Kk", "jk", "NI", "e1", "Zc", "TI", "kI", "t1", "Xk", "_I", "AI", "Zk", "$I", "xg", "yg", "DI", "RI", "FI", "Qk", "OI", "PI", "LI", "Fu", "MI", "zI", "bg", "BI", "Jc", "VI", "GI", "Dg", "Jk", "Bd", "WI", "ZI", "UI", "HI", "qI", "wg", "Cg", "KI", "jI", "Ig", "Sg", "XI", "An", "rp", "o1", "n1", "JS", "AU", "YI", "Yk", "JI", "QI", "tS", "eS", "rS", "nS", "oS", "sS", "iS", "aS", "lS", "uS", "cS", "pS", "mS", "fS", "dS", "hS", "gS", "xS", "yS", "bS", "wS", "CS", "IS", "SS", "vS", "NS", "TS", "kS", "ES", "_S", "AS", "$S", "DS", "RS", "FS", "OS", "PS", "LS", "MS", "zS", "BS", "VS", "GS", "WS", "US", "HS", "Ng", "Tg", "Vd", "qS", "KS", "Qc", "kg", "tp", "ep", "jS", "K", "lt", "_t", "re", "Ke", "je", "ee", "te", "dr", "jn", "ta", "Eg", "Gd", "XS", "rn", "Nl", "_g", "JW", "QW", "tU", "eU", "rU", "nU", "oU", "sU", "iU", "aU", "lU", "uU", "cU", "pU", "mU", "fU", "dU", "hU", "gU", "xU", "yU", "bU", "wU", "CU", "IU", "SU", "vU", "NU", "TU", "kU", "EU", "Rg", "r1", "Fg", "Og", "_U", "HW", "H5e", "UW", "qW", "dI", "Lk", "Pk", "ra", "zo", "$n", "s1", "Lg", "LU", "np", "MU", "zU", "BU", "VU", "E", "$e", "Dn", "Yn", "Bo", "xr", "Jt", "GU", "na", "WU", "UU", "HU", "Pu", "qU", "KU", "lr", "t0", "e0", "r0", "n0", "o0", "jU", "Mg", "s0", "Vo", "i1", "a1", "op", "oi", "sp", "si", "l1", "Ou", "Wd", "ip", "XU", "Ud", "YU", "ZU", "Hd", "u1", "qd", "QU", "z", "e4", "t4", "i0", "c1", "a0", "l0", "r4", "Kd", "ii", "oa", "sa", "Zn", "Go", "ia", "aa", "Wo", "kl", "la", "ua", "ca", "pa", "ma", "Uo", "ap", "El", "lp", "Ho", "ai", "up", "p1", "cp", "lo", "qo", "uo", "pp", "_l", "li", "Ko", "mp", "jo", "Al", "fp", "dp", "Xo", "Yo", "fa", "Zo", "da", "hp", "ha", "Jo", "gp", "xp", "yp", "$l", "jd", "Xd", "Qo", "bp", "ts", "wp", "ga", "xa", "es", "ui", "ya", "Cp", "Dl", "ba", "rs", "ns", "os", "ci", "wa", "Ca", "ss", "co", "Ip", "Sp", "Ia", "Sa", "va", "is", "Na", "Ta", "vp", "as", "ka", "Ea", "_a", "Aa", "m1", "f1", "wlt", "Rl", "Np", "ls", "us", "cs", "Tp", "Fl", "kp", "Ep", "ps", "ms", "fs", "ds", "$a", "_p", "hs", "pi", "Da", "Ra", "Fa", "Oa", "mi", "gs", "fi", "xs", "Clt", "ys", "bs", "ws", "Ap", "$p", "Dp", "Ol", "Rp", "Pa", "Cs", "di", "Is", "Fp", "Ss", "Op", "vs", "Ns", "Ts", "ks", "La", "Pp", "hi", "Ma", "gi", "Es", "za", "Ba", "_s", "Va", "As", "$s", "xi", "yi", "Ds", "Pl", "Ga", "Ll", "Ml", "Lp", "Rs", "zl", "Wa", "Bl", "Vl", "Gl", "Fs", "Os", "Ps", "Jn", "Ua", "Ha", "Qn", "Mp", "bi", "Wl", "Ilt", "wi", "po", "Yd", "qa", "Ci", "Ii", "Si", "vi", "n4", "zp", "Zd", "Jd", "c0", "u0", "zg", "Lu", "h1", "klt", "Elt", "_lt", "y", "c4", "Wp", "Hl", "m4", "u4", "Qd", "Gu", "Gp", "d0", "Vu", "E1", "Bu", "nn", "f0", "_1", "Pe", "k1", "kr", "Ul", "s4", "Vg", "i4", "a4", "l4", "p4", "Gg", "h0", "f4", "A1", "$1", "D1", "th", "g0", "R1", "d4", "Wg", "rh", "eh", "F1", "pe", "Ms", "Up", "h4", "O1", "P1", "L1", "Ft", "O", "Ka", "go", "I0", "nh", "x4", "Ut", "x0", "y0", "b0", "w0", "C0", "g4", "sr", "Wu", "M1", "y4", "S0", "Ug", "ql", "k", "b4", "w4", "v0", "Kl", "T0", "S4", "I4", "C4", "N0", "On", "Br", "B1", "z1", "I", "ja", "k0", "T", "v4", "wn", "on", "ur", "oh", "Hg", "G1", "N4", "qg", "_4", "E0", "V1", "W1", "U1", "Hp", "_0", "Kg", "A0", "qp", "Ni", "jg", "T4", "k4", "E4", "Ce", "H1", "q1", "K1", "j1", "$0", "D0", "Uu", "jl", "X1", "R0", "Ti", "Y1", "A4", "$4", "Xg", "Xa", "Kp", "Z1", "D4", "R4", "F4", "O4", "J1", "Q1", "P4", "L4", "ki", "tE", "M4", "Yg", "jp", "Er", "Zg", "eE", "rE", "nE", "oE", "sE", "F0", "z4", "O0", "P0", "wt", "B4", "J", "V4", "sn", "Jg", "G4", "_r", "uE", "mE", "fE", "G0", "tx", "Qg", "cE", "B0", "dE", "hE", "W4", "U4", "H4", "lE", "Ya", "L0", "q4", "K4", "M0", "z0", "j4", "X4", "sh", "Y4", "pE", "ih", "ex", "V0", "yE", "xE", "Z4", "Lt", "J4", "Ei", "xpt", "ypt", "bpt", "W0", "wpt", "Pn", "ah", "Cpt", "B", "vt", "De", "Ipt", "Q4", "Spt", "vpt", "Npt", "Tpt", "kpt", "Xp", "gE", "Ept", "tH", "Xl", "eH", "Ht", "rH", "Za", "nH", "Ot", "oH", "Vr", "Pt", "bE", "ge", "nx", "pH", "uH", "cH", "rx", "Hu", "wE", "sH", "iH", "aH", "lH", "ox", "CE", "lh", "IE", "sx", "U0", "Le", "fH", "yH", "hH", "gH", "xH", "dH", "q0", "bH", "AE", "kE", "$E", "EE", "_E", "vE", "H0", "mH", "NE", "TE", "wH", "SE", "Q", "uh", "_i", "Cn", "OE", "DE", "kH", "FE", "TH", "IH", "vH", "RE", "SH", "NH", "EH", "ix", "CH", "K0", "j0", "PE", "_H", "X", "AH", "Yp", "$H", "pt", "DH", "D", "RH", "Ee", "FH", "ax", "OH", "lx", "PH", "LE", "LH", "Zp", "MH", "qu", "zH", "Ai", "BH", "ux", "VH", "cx", "GH", "px", "WH", "mx", "UH", "fx", "HH", "dx", "qH", "zE", "ju", "Y0", "hx", "KH", "X0", "ME", "Jp", "YH", "ZH", "jH", "Z0", "Ku", "XH", "to", "Ar", "Ie", "JH", "R", "QH", "Yl", "tq", "gx", "eq", "ne", "rq", "Yr", "nq", "Rt", "oq", "$i", "sq", "BE", "iq", "Zl", "VE", "aq", "Di", "lq", "xx", "uq", "yx", "cq", "bx", "pq", "wx", "mq", "GE", "fq", "Ri", "dq", "Cx", "xo", "hq", "Cr", "gq", "Ix", "xq", "Sx", "yq", "vx", "bq", "Nx", "wq", "In", "Cq", "Qp", "Iq", "tm", "Sq", "em", "vq", "Tx", "Nq", "kx", "Tq", "Ex", "kq", "Jl", "Eq", "rm", "_q", "Xu", "Aq", "nm", "$q", "ch", "Dq", "_x", "Rq", "Fi", "Fq", "WE", "Oq", "Ax", "Pq", "$r", "Lq", "_e", "Mq", "It", "zq", "$x", "Bq", "Dx", "Vq", "UE", "Gq", "Oi", "Wq", "Rx", "J0", "HE", "Q0", "yo", "Uq", "tv", "ph", "Hq", "qq", "Ir", "Kq", "Ja", "jq", "an", "mt", "Xq", "Se", "Yq", "Mt", "Zq", "ft", "Jq", "qE", "Qa", "Qq", "Fx", "tK", "er", "eK", "rr", "rK", "Ox", "nK", "Dr", "oK", "Yu", "sK", "Pi", "iK", "Li", "aK", "Re", "lK", "ln", "uK", "Px", "cK", "Lx", "pK", "Mx", "mK", "Ql", "fK", "om", "dK", "Ln", "KE", "hK", "zx", "gK", "Sr", "xK", "tu", "yK", "Vx", "bK", "wK", "CK", "Bx", "un", "IK", "zs", "SK", "Gx", "vK", "ct", "NK", "sm", "TK", "im", "kK", "Rr", "EK", "eu", "_K", "am", "AK", "Wx", "Ux", "$K", "mh", "jE", "DK", "ru", "RK", "Hx", "FK", "XE", "OK", "Sn", "PK", "ve", "Ne", "cr", "YE", "LK", "Mi", "MK", "qx", "zK", "Kx", "BK", "Zu", "VK", "ZE", "GK", "JE", "WK", "Bs", "UK", "yr", "HK", "QE", "qK", "cn", "KK", "t_", "jK", "e_", "XK", "r_", "YK", "n_", "ZK", "nu", "JK", "tj", "QK", "jx", "ej", "ou", "rj", "Xx", "nj", "o_", "oj", "s_", "sj", "i_", "ij", "a_", "Qx", "Qu", "Zx", "Jx", "fj", "v_", "dj", "tc", "hj", "N_", "gj", "zi", "su", "xj", "ty", "yj", "Fr", "bj", "lm", "wj", "pr", "Cj", "T_", "Ij", "k_", "Sj", "E_", "vj", "__", "Nj", "um", "Tj", "cm", "kj", "pm", "Ej", "mm", "_j", "A_", "Aj", "ey", "$j", "fm", "Dj", "dm", "Rj", "hm", "Fj", "dh", "Oj", "gm", "Pj", "ec", "Lj", "iu", "Mj", "au", "zj", "tl", "Bj", "xm", "Vj", "mr", "Gj", "lu", "Wj", "ym", "Uj", "Mn", "Hj", "nr", "qj", "bo", "Kj", "ry", "jj", "ny", "Me", "Vs", "$_", "D_", "R_", "Xj", "oy", "Yj", "bm", "Zj", "sy", "Jj", "wm", "Qj", "vr", "F_", "iy", "ay", "t6", "ly", "e6", "r6", "n6", "o6", "s6", "i6", "O_", "l6", "u6", "c6", "p6", "P_", "m6", "lv", "uv", "hh", "f6", "d6", "uu", "L_", "M_", "z_", "h6", "Cm", "rc", "nc", "oc", "sc", "g6", "x6", "uy", "y6", "cy", "b6", "w6", "C6", "B_", "I6", "py", "S6", "my", "v6", "V_", "N6", "G_", "T6", "W_", "k6", "U_", "E6", "H_", "wo", "_6", "q_", "K_", "A6", "D6", "$6", "fy", "cv", "dy", "hy", "j_", "R6", "F6", "O6", "X_", "P6", "Y_", "L6", "Z_", "M6", "J_", "z6", "Q_", "B6", "gy", "V6", "xy", "G6", "W6", "tA", "U6", "eA", "H6", "rA", "q6", "nA", "K6", "oA", "sA", "Xe", "j6", "Gr", "X6", "iA", "Y6", "aA", "Z6", "lA", "J6", "uA", "Q6", "cA", "tX", "pA", "eX", "rX", "mA", "nX", "oX", "fA", "sX", "dA", "iX", "hA", "aX", "gA", "lX", "xA", "uX", "yA", "cX", "bA", "pX", "wA", "mX", "fX", "Gs", "pv", "dX", "hX", "gX", "Wr", "cu", "pu", "mu", "fu", "Bi", "du", "hu", "Ws", "ic", "xX", "gh", "v", "DX", "RX", "FX", "OX", "PX", "$X", "yy", "Vi", "fv", "mv", "yX", "GX", "jX", "wX", "zX", "BX", "vX", "bX", "qX", "UX", "WX", "h5", "d5", "VX", "XX", "KX", "NX", "kX", "IX", "TX", "EX", "CX", "_X", "AX", "QX", "t5", "e5", "o5", "i5", "s5", "r5", "n5", "c5", "a5", "l5", "u5", "YX", "LX", "JX", "hv", "MX", "SX", "dv", "HX", "CA", "IA", "ZX", "f5", "m5", "p5", "Ur", "by", "SA", "vA", "NA", "TA", "kA", "EA", "_A", "AA", "$A", "DA", "RA", "g5", "FA", "OA", "x5", "PA", "LA", "MA", "zA", "BA", "VA", "GA", "WA", "UA", "HA", "qA", "KA", "y5", "jA", "XA", "YA", "ZA", "JA", "QA", "t2", "e2", "r2", "n2", "o2", "s2", "i2", "a2", "l2", "p2", "u2", "c2", "m2", "f2", "d2", "h2", "g2", "x2", "y2", "b2", "w2", "b5", "C2", "I2", "wy", "gv", "S2", "w5", "v2", "N2", "C5", "T2", "k2", "E2", "_2", "A2", "$2", "D2", "R2", "F2", "O2", "P2", "L2", "xv", "M2", "z2", "I5", "S5", "B2", "V2", "G2", "W2", "U2", "H2", "q2", "K2", "j2", "X2", "Y2", "Z2", "J2", "Q2", "t$", "e$", "r$", "n$", "o$", "s$", "yv", "bv", "i$", "a$", "l$", "u$", "c$", "p$", "m$", "f$", "d$", "h$", "g$", "x$", "v5", "y$", "N5", "vn", "Hr", "M", "St", "Im", "xh", "Io", "ro", "Cv", "Nr", "xe", "So", "el", "Co", "Sm", "wv", "Gi", "T5", "yh", "vo", "b$", "Wi", "Cy", "Ze", "w$", "C$", "Iy", "k5", "vy", "Sy", "gu", "I$", "S$", "v$", "N$", "T$", "vm", "Fe", "E$", "pn", "Iv", "bh", "k$", "Hs", "E5", "Ny", "_$", "Ty", "_5", "A$", "No", "ac", "qs", "Zr", "Sv", "ir", "mn", "no", "nl", "$$", "Ey", "D$", "R$", "rl", "vv", "wh", "Nm", "Tv", "Tm", "To", "Nv", "_y", "lc", "fn", "F$", "O$", "Ay", "P$", "xu", "L$", "M$", "A5", "$5", "dn", "km", "yu", "Em", "_m", "Am", "$m", "Dm", "D5", "qr", "uc", "cc", "pc", "mc", "fc", "dc", "Rm", "z$", "B$", "Te", "de", "$y", "Fm", "Nt", "Bt", "Om", "G$", "Ch", "F5", "Ih", "Pm", "ye", "Jr", "O5", "ol", "P5", "$t", "L5", "M5", "kv", "Ks", "Dy", "z5", "ko", "Ry", "Fy", "U$", "hc", "B5", "G5", "W$", "V5", "W5", "K$", "U5", "K5", "q5", "H5", "Ev", "gc", "Lm", "Mm", "zm", "Bm", "H$", "ze", "q$", "Be", "j$", "Y5", "n8", "r8", "o8", "s8", "t8", "i8", "a8", "X5", "l8", "J5", "Z5", "Q5", "e8", "j5", "ED", "Tn", "ll", "vY", "RY", "gZ", "FY", "Gv", "Wv", "Uv", "WY", "HY", "KY", "UY", "qY", "jY", "BY", "lZ", "wZ", "OY", "hY", "gY", "xY", "yY", "bY", "oZ", "sZ", "CY", "NY", "SY", "zY", "TY", "uY", "DY", "EY", "hZ", "dZ", "XY", "YY", "cZ", "pZ", "vD", "ND", "JY", "QY", "Pv", "lY", "VY", "pY", "tZ", "eZ", "xZ", "mZ", "fZ", "TD", "kD", "ZY", "PY", "LY", "MY", "$Y", "mY", "cY", "_Y", "yZ", "AY", "bZ", "iZ", "wY", "rZ", "nZ", "fY", "kY", "aZ", "dY", "uZ", "IY", "GY", "Ui", "Oy", "X$", "u8", "sl", "Py", "_v", "Ly", "My", "zy", "hn", "By", "gn", "Sh", "Hi", "Vm", "bu", "c8", "p8", "m8", "f8", "d8", "xc", "Gm", "h8", "Wm", "g8", "x8", "Nh", "vh", "Vy", "Th", "kh", "Z$", "y8", "b8", "Av", "J$", "Wy", "Uy", "w8", "C8", "I8", "S8", "v8", "N8", "Eh", "T8", "$v", "Gy", "Q$", "_h", "eD", "Rv", "Dv", "rD", "_8", "Hy", "A8", "$8", "E8", "nD", "yc", "qy", "Um", "zn", "D8", "Ky", "jy", "oD", "R8", "aD", "sD", "F8", "lD", "iD", "O8", "P8", "uD", "Xy", "Hm", "Yy", "Zy", "L8", "cD", "Eo", "Fv", "M8", "Ov", "pD", "mD", "z8", "B8", "fD", "V8", "G8", "Bn", "Jy", "dD", "hD", "W8", "U8", "qi", "H8", "q8", "K8", "Qr", "Qy", "tb", "eb", "rb", "nb", "ob", "sb", "ib", "ab", "lb", "qm", "ub", "cb", "pb", "js", "Lv", "Xs", "Mv", "mb", "wu", "yD", "bD", "gD", "me", "xD", "be", "Km", "jm", "Xm", "Ym", "Zm", "Jm", "Cu", "Nn", "Ys", "Ah", "zv", "X8", "wD", "Y8", "bc", "Iu", "il", "al", "Qm", "tf", "fb", "ef", "Su", "rf", "nf", "Z8", "of", "Bv", "Vv", "Ic", "wc", "cl", "sf", "Cc", "af", "ul", "lf", "J8", "db", "Sc", "uf", "vc", "cf", "pf", "mf", "ff", "df", "hf", "gf", "xf", "yf", "pl", "bf", "wf", "Cf", "If", "Sf", "vf", "$h", "Q8", "Nf", "Tf", "kf", "Ef", "Dh", "tY", "eY", "rY", "_f", "Af", "nY", "$f", "wb", "CD", "hb", "Df", "Rf", "gb", "Ff", "Of", "xb", "Pf", "Lf", "yb", "Mf", "zf", "bb", "Bf", "Vf", "Cb", "Gf", "oY", "sY", "Wf", "Uf", "iY", "ID", "Hf", "SD", "qf", "_D", "$Z", "FZ", "CZ", "IZ", "vZ", "NZ", "EZ", "DZ", "_Z", "AZ", "RZ", "OZ", "TZ", "kZ", "SZ", "AD", "$D", "LZ", "PZ", "MZ", "Sb", "Ib", "DD", "vb", "zZ", "BZ", "VZ", "oo", "RD", "Hv", "WZ", "Nb", "UZ", "S", "br", "xn", "Tb", "FD", "_o", "Rh", "Zs", "qv", "HZ", "Kv", "qZ", "jv", "KZ", "Xv", "jZ", "Yv", "XZ", "Zv", "YZ", "Jv", "ZZ", "Qv", "JZ", "tN", "QZ", "eN", "t7", "rN", "e7", "nN", "r7", "oN", "n7", "sN", "o7", "iN", "s7", "aN", "i7", "lN", "a7", "uN", "l7", "cN", "u7", "Fh", "kb", "Fb", "_b", "Rb", "Eb", "Pb", "Db", "Ob", "Ab", "$b", "OD", "pN", "c7", "PD", "LD", "Lb", "ae", "MD", "zD", "Vn", "BD", "Kf", "Mb", "zb", "VD", "GD", "WD", "UD", "HD", "qD", "KD", "jD", "mN", "XD", "YD", "ZD", "Bb", "JD", "QD", "tR", "eR", "rR", "nR", "oR", "sR", "iR", "aR", "lR", "fN", "Oh", "dN", "hN", "R7", "F7", "uR", "A7", "$7", "D7", "Nc", "Vb", "O7", "P7", "Ph", "L7", "z7", "M7", "cR", "AR", "Yf", "Js", "ed", "Xf", "rd", "wR", "NR", "TR", "kR", "_R", "PN", "ER", "CR", "bR", "gR", "pR", "Gb", "vu", "mR", "xN", "fR", "Wb", "dR", "B7", "hR", "V7", "jf", "Tc", "AN", "yN", "Lh", "bN", "xR", "Hb", "yR", "fl", "EN", "Je", "TN", "vN", "NN", "Ub", "kN", "SN", "IN", "CN", "qb", "_N", "wN", "kc", "kn", "G7", "W7", "Kb", "Mh", "IR", "jb", "$N", "SR", "Zf", "Jf", "Qf", "zh", "DN", "RN", "Xb", "FN", "ON", "td", "vR", "U7", "Yb", "tt", "H7", "Nu", "mw", "zN", "sd", "Jb", "MN", "BN", "Ec", "VN", "WN", "HN", "qN", "Qb", "tw", "jN", "KN", "YN", "XN", "ew", "ZN", "rw", "JN", "QN", "Bh", "tT", "eT", "rT", "nw", "ow", "sw", "Ac", "nT", "dl", "sF", "LN", "$c", "iw", "aw", "ld", "lF", "sT", "lw", "Dc", "Rc", "Fc", "aT", "uw", "cw", "id", "pw", "q7", "$R", "Qt", "wr", "DR", "nd", "Kr", "RR", "Ao", "FR", "$o", "OR", "oe", "od", "K7", "Ki", "PR", "yn", "kt", "Do", "j7", "LR", "GN", "MR", "UN", "zR", "X7", "BR", "Y7", "VR", "Z7", "GR", "J7", "WR", "Q7", "UR", "tJ", "HR", "eJ", "qR", "rJ", "KR", "nJ", "jR", "oJ", "_c", "XR", "sJ", "YR", "iJ", "ZR", "Ve", "JR", "aJ", "QR", "lJ", "uJ", "cJ", "pJ", "tF", "mJ", "fJ", "eF", "Ro", "ad", "nF", "rF", "dJ", "oF", "oT", "iF", "Fo", "aF", "hJ", "uF", "gJ", "cF", "iT", "xJ", "yJ", "Vh", "pF", "Gh", "mF", "lT", "fF", "uT", "dF", "wJ", "cT", "hF", "pT", "gF", "mT", "xF", "Oc", "Yt", "yF", "fT", "bF", "CJ", "wF", "IJ", "CF", "SJ", "IF", "vJ", "SF", "NJ", "vF", "TJ", "NF", "kJ", "TF", "EJ", "kF", "_J", "EF", "AJ", "_F", "$J", "AF", "DJ", "RJ", "$F", "FJ", "DF", "ud", "fw", "dw", "RF", "OJ", "FF", "PJ", "OF", "LJ", "PF", "MJ", "LF", "zJ", "MF", "BJ", "zF", "VJ", "BF", "GJ", "VF", "WJ", "GF", "UJ", "WF", "ji", "UF", "Tu", "HF", "dT", "qF", "HJ", "KF", "qJ", "jF", "KJ", "XF", "jJ", "YF", "XJ", "ZF", "YJ", "JF", "ZJ", "QF", "JJ", "tO", "QJ", "eO", "tQ", "rO", "eQ", "nO", "rQ", "oO", "hT", "sO", "nQ", "iO", "oQ", "aO", "sQ", "lO", "uO", "cO", "pO", "hl", "mO", "iQ", "fO", "aQ", "dO", "lQ", "uQ", "cQ", "pQ", "mQ", "fQ", "dQ", "hO", "cd", "gO", "hQ", "Wh", "Uh", "hw", "gQ", "xQ", "gT", "yQ", "bQ", "xO", "Hh", "wQ", "yO", "bO", "CQ", "IQ", "wO", "SQ", "CO", "vQ", "IO", "NQ", "SO", "TQ", "vO", "kQ", "NO", "EQ", "TO", "_Q", "kO", "AQ", "EO", "$Q", "_O", "DQ", "AO", "RQ", "FQ", "$O", "OQ", "DO", "PQ", "LQ", "RO", "MQ", "FO", "zQ", "OO", "xT", "PO", "BQ", "LO", "VQ", "MO", "GQ", "zO", "WQ", "BO", "VO", "GO", "UQ", "WO", "HQ", "UO", "qQ", "HO", "KQ", "jQ", "qO", "jO", "yT", "KO", "XQ", "XO", "YQ", "ZQ", "YO", "JQ", "QQ", "ZO", "t9", "e9", "JO", "r9", "QO", "qh", "tP", "eP", "rP", "bT", "nP", "n9", "gw", "o9", "s9", "oP", "i9", "sP", "a9", "iP", "l9", "aP", "u9", "lP", "c9", "uP", "p9", "cP", "m9", "pP", "f9", "mP", "d9", "fP", "h9", "dP", "hP", "g9", "gP", "x9", "xP", "y9", "b9", "yP", "w9", "bP", "C9", "wP", "I9", "S9", "v9", "CP", "N9", "IP", "T9", "SP", "k9", "vP", "E9", "NP", "_9", "TP", "A9", "kP", "$9", "EP", "D9", "_P", "R9", "AP", "F9", "$P", "O9", "DP", "P9", "RP", "FP", "L9", "OP", "M9", "PP", "z9", "LP", "B9", "MP", "V9", "zP", "G9", "BP", "W9", "VP", "U9", "GP", "H9", "WP", "q9", "UP", "Z9", "J9", "HP", "K9", "j9", "Y9", "X9", "Kh", "Q9", "qP", "ttt", "KP", "ett", "jP", "rtt", "dd", "Qs", "ptt", "Zh", "OT", "JP", "Iw", "yt", "ST", "NT", "DT", "TT", "_T", "ET", "AT", "vT", "xl", "pd", "QP", "MT", "utt", "FT", "RT", "yl", "fd", "PT", "zT", "ZP", "LT", "Wn", "BT", "VT", "Eu", "GT", "vw", "kT", "Cw", "mtt", "ftt", "Sw", "ctt", "md", "Yh", "$T", "Pc", "xw", "wT", "Gn", "ott", "ntt", "ku", "jr", "Pr", "Lc", "XP", "jh", "Xi", "YP", "Xh", "stt", "itt", "att", "gl", "ltt", "tL", "yw", "bw", "ww", "IT", "dtt", "Tt", "Ge", "ti", "Mc", "htt", "eL", "hd", "gd", "Nw", "rL", "nL", "Tw", "gtt", "btt", "Itt", "xtt", "Ctt", "ytt", "wtt", "Ttt", "yd", "Mtt", "Btt", "Gtt", "Utt", "qtt", "Ktt", "jtt", "oL", "Ltt", "ztt", "Vtt", "Wtt", "Htt", "Xtt", "Ytt", "sL", "ktt", "Ott", "_tt", "$tt", "Ett", "Ptt", "Att", "Dtt", "Rtt", "Ftt", "Stt", "vtt", "Ntt", "zc", "bd", "wd", "Cd", "zt", "aL", "WT", "iL", "lL", "uL", "we", "kw", "Ew", "_w", "Aw", "Qtt", "Jh", "$w", "ik", "JT", "ek", "jT", "ZT", "KT", "qT", "YT", "XT", "HT", "UT", "nk", "rk", "sk", "ok", "Rw", "Pw", "Dw", "Ow", "Fw", "QT", "tk", "Qh", "Bc", "tet", "cL", "Lw", "pL", "mL", "fL", "dL", "hL", "gL", "xL", "yL", "bL", "wL", "CL", "IL", "SL", "vL", "NL", "TL", "kL", "EL", "_L", "AL", "$L", "DL", "RL", "FL", "OL", "PL", "LL", "ML", "zL", "BL", "Mw", "VL", "GL", "WL", "zw", "UL", "HL", "qL", "KL", "jL", "XL", "YL", "ZL", "Vc", "JL", "ak", "Qe", "QL", "Bw", "Id", "eet", "Vw", "eM", "rM", "tM", "ret", "net", "oet", "tn", "fr", "nM", "lk", "oM", "sM", "iM", "Gc", "aM", "uM", "cM", "pM", "mM", "fM", "so", "Gw", "iet", "aet", "uet", "Ww", "cet", "pet", "met", "fet", "_u", "det", "dM", "hM", "t1e", "Sd", "io", "Yi", "Oo", "tr", "gM", "En", "xM", "uk", "ck", "het", "yM", "pk", "mk", "get", "bM", "Po", "Ct", "le", "bl", "vd", "fk", "tg", "wM", "eg", "CM", "IM", "st", "SM", "rg", "Uw", "yet", "Un", "Hw", "bet", "qw", "Au", "vM", "Wc", "NM", "Oe", "TM", "dk", "Uc", "wet", "kM", "EM", "Cet", "_M", "Iet", "vet", "AM", "Net", "Tet", "$M", "DM", "ket", "RM", "Kw", "jw", "Xw", "FM", "Eet", "OM", "_et", "PM", "Yw", "Zw", "LM", "MM", "Jw", "Aet", "zM", "$et", "BM", "Det", "Ret", "VM", "Fet", "Oet", "GM", "Pet", "Let", "WM", "Met", "zet", "Bet", "UM", "Vet", "Get", "HM", "ei", "$u", "Wet", "qM", "Uet", "KM", "Qw", "tC", "Het", "jM", "qet", "XM", "Ket", "YM", "eC", "rC", "jet", "ZM", "nC", "Xet", "hk", "oC", "Yet", "ri", "JM", "Zet", "QM", "Jet", "tz", "Qet", "ez", "trt", "gk", "rz", "wl", "nz", "ert", "oz", "xk", "sz", "iz", "rrt", "az", "sC", "iC", "nrt", "lz", "aC", "uz", "ort", "cz", "lC", "cC", "uC", "Hc", "pz", "Nd", "srt", "yk", "mz", "Td", "pC", "kd", "mC", "fC", "dC", "hC", "irt", "fz", "gC", "xC", "yC", "bC", "art", "dz", "lrt", "hz", "urt", "gz", "crt", "xz", "prt", "yz", "mrt", "frt", "bz", "drt", "hrt", "wz", "wC", "grt", "Cz", "qc", "ng", "Iz", "Sz", "CC", "xrt", "vz", "yrt", "Nz", "brt", "Tz", "IC", "wrt", "kz", "Ed", "_d", "Crt", "Ez", "SC", "vC", "Irt", "_z", "Srt", "Az", "NC", "vrt", "$z", "TC", "Nrt", "Dz", "Trt", "Rz", "krt", "Ert", "_rt", "Fz", "Art", "$rt", "Drt", "Oz", "Rrt", "Frt", "Ort", "Pz", "Prt", "Lrt", "Lz", "Mrt", "zrt", "bk", "Mz", "kC", "zz", "Bz", "Brt", "Vz", "og", "EC", "Vrt", "Gz", "_C", "Cl", "Wz", "AC", "Uz", "Hz", "Grt", "qz", "Wrt", "Urt", "Hrt", "Kz", "$C", "DC", "jz", "qrt", "Ad", "wk", "Krt", "Xz", "jrt", "Yz", "RC", "Xrt", "Zz", "FC", "Yrt", "Ck", "Jz", "Zrt", "Jrt", "Qrt", "Qz", "tnt", "ent", "rnt", "t3", "nnt", "e3", "ont", "snt", "r3", "int", "ant", "n3", "lnt", "unt", "o3", "cnt", "pnt", "mnt", "s3", "fnt", "dnt", "hnt", "i3", "gnt", "a3", "xnt", "ynt", "bnt", "l3", "wnt", "Cnt", "u3", "Int", "Snt", "vnt", "c3", "Nnt", "Tnt", "p3", "knt", "Ent", "_nt", "m3", "OC", "PC", "Ant", "f3", "LC", "$nt", "d3", "h3", "Ik", "g3", "Dnt", "Rnt", "Fnt", "x3", "Ont", "y3", "Pnt", "b3", "MC", "zC", "Lnt", "w3", "Mnt", "C3", "I3", "S3", "v3", "N3", "znt", "T3", "Bnt", "Vnt", "Gnt", "k3", "BC", "VC", "Wnt", "E3", "Unt", "Hnt", "qnt", "_3", "GC", "Knt", "jnt", "Sk", "A3", "$3", "vk", "D3", "Nk", "R3", "Xnt", "F3", "Ynt", "Znt", "Jnt", "O3", "Qnt", "tot", "P3", "eot", "rot", "L3", "not", "oot", "M3", "WC", "sot", "z3", "sg", "B3", "V3", "G3", "iot", "W3", "UC", "HC", "Tk", "U3", "aot", "lot", "uot", "H3", "cot", "q3", "pot", "K3", "mot", "j3", "fot", "X3", "kk", "Y3", "dot", "hot", "Z3", "got", "xot", "yot", "J3", "bot", "wot", "Cot", "Q3", "qC", "KC", "Iot", "tB", "jC", "Sot", "eB", "XC", "YC", "vot", "rB", "ZC", "Not", "nB", "JC", "QC", "Tot", "oB", "tI", "sB", "kot", "Eot", "iB", "_ot", "Aot", "aB", "$d", "$ot", "lB", "eI", "Dot", "uB", "rI", "Rot", "cB", "Fot", "Oot", "pB", "Pot", "Lot", "Mot", "mB", "zot", "Bot", "fB", "Vot", "Got", "dB", "Wot", "Uot", "hB", "Hot", "qot", "gB", "Kot", "xB", "jot", "yB", "Xot", "bB", "Yot", "wB", "Zot", "CB", "Jot", "IB", "Qot", "SB", "vB", "tst", "NB", "est", "rst", "TB", "kB", "nst", "EB", "ost", "_B", "nI", "sst", "AB", "ist", "$B", "ast", "DB", "lst", "RB", "ust", "cst", "FB", "pst", "mst", "OB", "oI", "fst", "Ek", "PB", "sI", "iI", "Kc", "LB", "dst", "MB", "aI", "hst", "zB", "gst", "BB", "xst", "VB", "lI", "yst", "GB", "bst", "qt", "Du", "WB", "wst", "Cst", "UB", "se", "HB", "ue", "Ist", "qB", "KB", "Sst", "vst", "jB", "jc", "XB", "YB", "Nst", "ao", "kst", "Tst", "ZB", "bn", "JB", "Est", "_st", "QB", "tV", "Ast", "$st", "eV", "rV", "Dst", "Rst", "nV", "oV", "Fst", "Ost", "sV", "ar", "iV", "aV", "Pst", "Lst", "lV", "Lo", "Mst", "zst", "Bst", "uV", "Vst", "cV", "ni", "pV", "mV", "fV", "Gst", "Wst", "dV", "_k", "hV", "gV", "Ust", "Hst", "xV", "yV", "qst", "Kst", "bV", "wV", "CV", "Ak", "IV", "jst", "Xst", "SV", "vV", "Yst", "Zst", "NV", "TV", "Jst", "Qst", "kV", "EV", "tit", "eit", "_V", "AV", "rit", "nit", "$V", "DV", "oit", "RV", "FV", "uI", "OV", "$k", "PV", "LV", "sit", "iit", "MV", "zV", "ait", "BV", "VV", "lit", "uit", "GV", "WV", "cit", "pit", "UV", "HV", "mit", "fit", "qV", "KV", "dit", "hit", "jV", "XV", "git", "xit", "YV", "yit", "ZV", "bit", "JV", "QV", "wit", "Cit", "tG", "Iit", "eG", "Sit", "rG", "nG", "vit", "oG", "sG", "Nit", "iG", "Tit", "aG", "lG", "kit", "Eit", "uG", "_it", "cG", "pG", "Ait", "$it", "mG", "fG", "Dit", "Rit", "dG", "hG", "Fit", "Oit", "gG", "Pit", "xG", "Dk", "yG", "Lit", "Mit", "bG", "zit", "wG", "CG", "Dd", "IG", "Bit", "Vit", "SG", "vG", "Git", "Wit", "NG", "TG", "Uit", "Hit", "kG", "qit", "EG", "_G", "Kit", "jit", "AG", "Xit", "$G", "Yit", "DG", "RG", "Zit", "Jit", "cI", "Qit", "FG", "OG", "tat", "eat", "PG", "LG", "rat", "nat", "MG", "oat", "zG", "sat", "BG", "VG", "GG", "WG", "iat", "aat", "UG", "HG", "lat", "uat", "qG", "KG", "cat", "pat", "jG", "XG", "mat", "fat", "YG", "ZG", "JG", "QG", "dat", "hat", "tW", "eW", "gat", "xat", "rW", "nW", "yat", "bat", "oW", "sW", "iW", "wat", "Cat", "aW", "Iat", "lW", "uW", "Sat", "vat", "cW", "pW", "Nat", "Tat", "mW", "fW", "pI", "mI", "kat", "dW", "Eat", "hW", "_at", "gW", "xW", "yW", "Aat", "bW", "wW", "$at", "Dat", "CW", "IW", "Rat", "Fat", "SW", "Oat", "vW", "Pat", "NW", "Lat", "TW", "Mat", "kW", "EW", "zat", "Bat", "_W", "AW", "$W", "DW", "Vat", "Gat", "RW", "FW", "Wat", "Uat", "OW", "PW", "Hat", "qat", "LW", "Kat", "MW", "jat", "zW", "Xat", "Rk", "zk", "XW", "Bk", "KW", "Yat", "cg", "ZW", "Mk", "Jat", "Zat", "jW", "hI", "lg", "YW", "ag", "Vk", "ug", "Qat", "tlt", "elt", "rlt", "nlt", "olt", "slt", "ilt", "alt", "llt", "ult", "clt", "plt", "mlt", "flt", "dlt", "draw_exports", "__export", "AnchorPosition", "DrawBox", "DrawBoxOptions", "DrawFaceLandmarks", "DrawFaceLandmarksOptions", "DrawTextField", "DrawTextFieldOptions", "drawContour", "drawDetections", "drawFaceExpressions", "drawFaceLandmarks", "drawContour", "ctx", "points", "isClosed", "x", "y", "prevIdx", "from", "to", "utils_exports", "__export", "computeReshapedDimensions", "getCenterPoint", "isDimensions", "isEven", "isFloat", "isTensor", "isTensor1D", "isTensor2D", "isTensor3D", "isTensor4D", "isValidNumber", "isValidProbablitiy", "range", "round", "Dimensions", "width", "height", "isValidNumber", "isTensor", "tensor", "dim", "Ft", "isTensor1D", "isTensor2D", "isTensor3D", "isTensor4D", "isFloat", "num", "isEven", "round", "prec", "f", "isDimensions", "obj", "computeReshapedDimensions", "width", "height", "inputSize", "scale", "Dimensions", "getCenterPoint", "pts", "sum", "pt", "Point", "range", "start", "step", "_", "i", "isValidNumber", "isValidProbablitiy", "Point", "x", "y", "pt", "Box", "rect", "isValidNumber", "box", "callee", "allowNegativeDimensions", "_box", "isBbox", "isRect", "x", "y", "width", "height", "Point", "val", "diff", "s", "scaleX", "isDimensions", "scaleY", "padX", "padY", "imgWidth", "imgHeight", "right", "bottom", "clippedX", "clippedY", "newWidth", "newHeight", "clippedWidth", "clippedHeight", "sx", "sy", "imageHeight", "imageWidth", "w", "h", "dx", "dy", "edx", "edy", "ex", "ey", "region", "BoundingBox", "Box", "left", "top", "right", "bottom", "allowNegativeDimensions", "ObjectDetection", "score", "classScore", "className", "relativeBox", "imageDims", "Dimensions", "Box", "width", "height", "FaceDetection", "ObjectDetection", "score", "relativeBox", "imageDims", "width", "height", "iou", "box1", "box2", "isIOU", "width", "height", "interSection", "minBbox", "pts", "xs", "pt", "ys", "minX", "min", "x", "minY", "y", "maxX", "max", "maxY", "BoundingBox", "nonMaxSuppression", "boxes", "scores", "iouThreshold", "isIOU", "indicesSortedByScore", "score", "boxIndex", "c1", "c2", "c", "pick", "curr", "indices", "outputs", "i", "idx", "currBox", "idxBox", "iou", "_", "j", "normalize", "x", "meanRgb", "B", "r", "g", "b", "avg_r", "xo", "avg_g", "avg_b", "avg_rgb", "ne", "ct", "padToSquare", "imgTensor", "isCenterImage", "B", "height", "width", "dimDiff", "paddingAmount", "paddingAxis", "createPaddingTensor", "paddingAmountLocal", "paddingTensorShape", "xo", "paddingTensorAppend", "remainingPaddingAmount", "tensorsToStack", "t", "J", "ne", "shuffleArray", "inputArray", "array", "i", "j", "x", "sigmoid", "x", "inverseSigmoid", "Rect", "Box", "x", "y", "width", "height", "allowNegativeDimensions", "relX", "relY", "relScale", "FaceLandmarks", "relativeFaceLandmarkPositions", "imgDims", "shift", "Point", "width", "height", "Dimensions", "pt", "x", "y", "detection", "options", "box", "FaceDetection", "Box", "useDlibAlignment", "minBoxPadding", "centers", "leftEyeCenter", "rightEyeCenter", "mouthCenter", "distToMouth", "eyeToMouthDist", "size", "refPoint", "getCenterPoint", "Rect", "padding", "minBbox", "FaceLandmarks5", "FaceLandmarks", "pts", "getCenterPoint", "FaceLandmarks68", "FaceLandmarks", "getCenterPoint", "FaceMatch", "label", "distance", "withDistance", "round", "LabeledBox", "Box", "box", "label", "callee", "isValidNumber", "LabeledFaceDescriptors", "label", "descriptors", "desc", "d", "json", "PredictedBox", "LabeledBox", "box", "label", "score", "classScore", "callee", "isValidProbablitiy", "isWithFaceDetection", "obj", "FaceDetection", "extendWithFaceDetection", "sourceObj", "detection", "createBrowserEnv", "fetch", "isNodejs", "createFileSystem", "fs", "requireFsError", "isNodejs", "err", "filePath", "resolve", "reject", "buffer", "createNodejsEnv", "Canvas", "Image", "Video", "createCanvasElement", "createImageElement", "createVideoElement", "fetch", "fileSystem", "createFileSystem", "isBrowser", "environment", "getEnv", "setEnv", "env", "initialize", "isBrowser", "createBrowserEnv", "isNodejs", "createNodejsEnv", "monkeyPatch", "Canvas", "Image", "createFileSystem", "resolveInput", "arg", "env", "getContext2dOrThrow", "canvasArg", "Canvas", "CanvasRenderingContext2D", "env", "canvas", "resolveInput", "ctx", "AnchorPosition", "DrawTextFieldOptions", "options", "anchorPosition", "backgroundColor", "fontColor", "fontSize", "fontStyle", "padding", "DrawTextField", "text", "anchor", "ctx", "l", "w0", "w1", "canvasDims", "isShiftLeft", "isShiftTop", "textFieldWidth", "textFieldHeight", "x", "y", "width", "height", "newX", "newY", "canvasArg", "canvas", "resolveInput", "getContext2dOrThrow", "maxTextWidth", "textHeight", "upperLeft", "textLine", "i", "DrawBoxOptions", "options", "boxColor", "lineWidth", "label", "drawLabelOptions", "defaultDrawLabelOptions", "DrawTextFieldOptions", "DrawBox", "box", "Box", "canvasArg", "ctx", "getContext2dOrThrow", "x", "y", "width", "height", "DrawTextField", "drawDetections", "canvasArg", "detections", "det", "score", "FaceDetection", "isWithFaceDetection", "box", "Box", "label", "round", "DrawBox", "isMediaLoaded", "media", "Image", "Video", "env", "awaitMediaLoaded", "media", "resolve", "reject", "env", "isMediaLoaded", "onError", "e", "onLoad", "bufferToImage", "buf", "resolve", "reject", "reader", "img", "env", "getMediaDimensions", "input", "Image", "Video", "env", "Dimensions", "createCanvas", "width", "height", "createCanvasElement", "env", "canvas", "createCanvasFromMedia", "media", "dims", "ImageData", "isMediaLoaded", "getMediaDimensions", "getContext2dOrThrow", "imageTensorToCanvas", "imgTensor", "canvas", "targetCanvas", "env", "height", "width", "numChannels", "isTensor4D", "imgTensor3D", "B", "nx", "isMediaElement", "input", "Image", "Canvas", "Video", "env", "imageToSquare", "input", "inputSize", "centerImage", "Image", "Canvas", "env", "createCanvas", "dims", "getMediaDimensions", "scale", "width", "height", "targetCanvas", "inputCanvas", "createCanvasFromMedia", "offset", "dx", "dy", "getContext2dOrThrow", "NetInput", "inputs", "treatAsBatchInput", "input", "idx", "isTensor3D", "isTensor4D", "batchSize", "canvas", "env", "createCanvasFromMedia", "range", "_", "batchIdx", "width", "height", "computeReshapedDimensions", "inputSize", "isCenterInputs", "B", "inputTensors", "Ft", "imgTensor", "rr", "padToSquare", "Gs", "nx", "imageToSquare", "nr", "t", "J", "toNetInput", "inputs", "NetInput", "inputArgArray", "getIdxHint", "idx", "inputArray", "resolveInput", "input", "i", "isMediaElement", "isTensor3D", "isTensor4D", "batchSize", "awaitMediaLoaded", "extractFaces", "input", "detections", "Canvas", "env", "canvas", "netInput", "toNetInput", "tensorOrCanvas", "imageTensorToCanvas", "ctx", "getContext2dOrThrow", "det", "FaceDetection", "box", "x", "y", "width", "height", "faceImg", "createCanvas", "extractFaceTensors", "imageTensor", "detections", "isTensor3D", "isTensor4D", "B", "imgHeight", "imgWidth", "numChannels", "det", "FaceDetection", "box", "x", "y", "width", "height", "gm", "fetchOrThrow", "url", "init", "fetch", "env", "res", "fetchImage", "uri", "res", "fetchOrThrow", "blob", "bufferToImage", "fetchJson", "uri", "fetchOrThrow", "fetchNetWeights", "uri", "fetchOrThrow", "bufferToVideo", "buf", "resolve", "reject", "video", "env", "fetchVideo", "uri", "res", "fetchOrThrow", "blob", "bufferToVideo", "getModelUris", "uri", "defaultModelName", "defaultManifestFilename", "protocol", "parts", "s", "manifestFile", "modelBaseUri", "loadWeightMap", "uri", "defaultModelName", "manifestUri", "modelBaseUri", "getModelUris", "manifest", "fetchJson", "_r", "matchDimensions", "input", "reference", "useMediaDimensions", "width", "height", "getMediaDimensions", "NeuralNetwork", "name", "paramPath", "obj", "objProp", "tensor", "param", "Ka", "path", "variable", "ur", "throwOnRedispose", "flat", "arr", "weightsOrUrl", "uri", "weightMap", "loadWeightMap", "filePath", "readFile", "env", "manifestUri", "modelBaseUri", "getModelUris", "fetchWeightsFromDisk", "filePaths", "fp", "buf", "loadWeights", "_r", "manifest", "paramMappings", "params", "weights", "result", "res", "Ft", "depthwiseSeparableConv", "x", "params", "stride", "B", "out", "mm", "X", "denseBlock3", "x", "denseBlockParams", "isFirstLayer", "B", "out1", "Fr", "X", "In", "depthwiseSeparableConv", "out2", "in3", "out3", "denseBlock4", "isScaleDown", "in4", "out4", "convLayer", "x", "params", "padding", "withRelu", "B", "out", "X", "In", "Fr", "disposeUnusedWeightTensors", "weightMap", "paramMappings", "path", "pm", "extractConvParamsFactory", "extractWeights", "paramMappings", "channelsIn", "channelsOut", "filterSize", "mappedPrefix", "filters", "$_", "bias", "Me", "extractFCParamsFactory", "extractWeights", "paramMappings", "channelsIn", "channelsOut", "mappedPrefix", "fc_weights", "Vs", "fc_bias", "Me", "SeparableConvParams", "depthwise_filter", "pointwise_filter", "bias", "extractSeparableConvParamsFactory", "extractWeights", "paramMappings", "channelsIn", "channelsOut", "mappedPrefix", "depthwise_filter", "$_", "pointwise_filter", "bias", "Me", "SeparableConvParams", "loadSeparableConvParamsFactory", "extractWeightEntry", "prefix", "extractWeightEntryFactory", "weightMap", "paramMappings", "originalPath", "paramRank", "mappedPath", "tensor", "isTensor", "extractWeightsFactory", "weights", "remainingWeights", "extractWeights", "numWeights", "ret", "getRemainingWeights", "extractorsFactory", "extractWeights", "paramMappings", "extractConvParams", "extractConvParamsFactory", "extractSeparableConvParams", "extractSeparableConvParamsFactory", "extractDenseBlock3Params", "channelsIn", "channelsOut", "mappedPrefix", "isFirstLayer", "conv0", "conv1", "conv2", "extractDenseBlock4Params", "conv3", "extractParams", "weights", "paramMappings", "extractWeights", "getRemainingWeights", "extractWeightsFactory", "extractDenseBlock4Params", "extractorsFactory", "dense0", "dense1", "dense2", "dense3", "loadConvParamsFactory", "extractWeightEntry", "prefix", "filters", "bias", "loadParamsFactory", "weightMap", "paramMappings", "extractWeightEntry", "extractWeightEntryFactory", "extractConvParams", "loadConvParamsFactory", "extractSeparableConvParams", "loadSeparableConvParamsFactory", "extractDenseBlock3Params", "prefix", "isFirstLayer", "conv0", "conv1", "conv2", "extractDenseBlock4Params", "conv3", "extractParamsFromWeightMap", "weightMap", "paramMappings", "extractDenseBlock4Params", "loadParamsFactory", "params", "disposeUnusedWeightTensors", "FaceFeatureExtractor", "NeuralNetwork", "input", "params", "B", "batchTensor", "J", "normalized", "normalize", "out", "denseBlock4", "Yl", "toNetInput", "weightMap", "extractParamsFromWeightMap", "weights", "extractParams", "fullyConnectedLayer", "x", "params", "B", "X", "Lt", "extractParams", "weights", "channelsIn", "channelsOut", "paramMappings", "extractWeights", "getRemainingWeights", "extractWeightsFactory", "fc", "extractFCParamsFactory", "extractParamsFromWeightMap", "weightMap", "paramMappings", "extractWeightEntry", "extractWeightEntryFactory", "extractFcParams", "prefix", "weights", "bias", "params", "disposeUnusedWeightTensors", "seperateWeightMaps", "weightMap", "featureExtractorMap", "classifierMap", "key", "map", "FaceProcessor", "NeuralNetwork", "_name", "faceFeatureExtractor", "input", "params", "B", "bottleneckFeatures", "NetInput", "fullyConnectedLayer", "throwOnRedispose", "weights", "paramMappings", "extractParams", "weightMap", "featureExtractorMap", "classifierMap", "seperateWeightMaps", "extractParamsFromWeightMap", "cIn", "cOut", "classifierWeightSize", "featureExtractorWeights", "classifierWeights", "FACE_EXPRESSION_LABELS", "FaceExpressions", "probabilities", "expression", "idx", "e0", "e1", "FaceExpressionNet", "FaceProcessor", "faceFeatureExtractor", "FaceFeatureExtractor", "input", "B", "iu", "toNetInput", "netInput", "out", "probabilitesByBatch", "vr", "t", "data", "predictionsByBatch", "probabilites", "FaceExpressions", "isWithFaceExpressions", "obj", "FaceExpressions", "extendWithFaceExpressions", "sourceObj", "expressions", "drawFaceExpressions", "canvasArg", "faceExpressions", "minConfidence", "textFieldAnchor", "e", "expr", "FaceExpressions", "isWithFaceExpressions", "resultsToDisplay", "exprLocal", "anchor", "isWithFaceDetection", "Point", "DrawTextField", "round", "isWithFaceLandmarks", "obj", "isWithFaceDetection", "FaceLandmarks", "FaceDetection", "calculateFaceAngle", "mesh", "radians", "a1", "a2", "b1", "b2", "degrees", "theta", "angle", "pt", "bottom", "prev", "cur", "top", "extendWithFaceLandmarks", "sourceObj", "unshiftedLandmarks", "shift", "landmarks", "rect", "imageDims", "alignedRect", "DrawFaceLandmarksOptions", "options", "drawLines", "drawPoints", "lineWidth", "lineColor", "pointSize", "pointColor", "DrawFaceLandmarks", "faceLandmarks", "canvasArg", "ctx", "getContext2dOrThrow", "FaceLandmarks68", "drawContour", "drawPoint", "pt", "drawFaceLandmarks", "f", "landmarks", "FaceLandmarks", "isWithFaceLandmarks", "extractorsFactory", "extractWeights", "paramMappings", "extractConvParams", "extractConvParamsFactory", "extractSeparableConvParams", "extractSeparableConvParamsFactory", "extractReductionBlockParams", "channelsIn", "channelsOut", "mappedPrefix", "separable_conv0", "separable_conv1", "expansion_conv", "extractMainBlockParams", "channels", "separable_conv2", "extractParams", "weights", "numMainBlocks", "getRemainingWeights", "extractWeightsFactory", "entry_flow_conv_in", "entry_flow_reduction_block_0", "entry_flow_reduction_block_1", "entry_flow", "middle_flow", "range", "idx", "exit_flow_reduction_block", "exit_flow_separable_conv", "exit_flow", "loadParamsFactory", "weightMap", "paramMappings", "extractWeightEntry", "extractWeightEntryFactory", "extractConvParams", "loadConvParamsFactory", "extractSeparableConvParams", "loadSeparableConvParamsFactory", "extractReductionBlockParams", "mappedPrefix", "separable_conv0", "separable_conv1", "expansion_conv", "extractMainBlockParams", "separable_conv2", "extractParamsFromWeightMap", "numMainBlocks", "entry_flow_conv_in", "entry_flow_reduction_block_0", "entry_flow_reduction_block_1", "entry_flow", "middle_flow", "range", "idx", "exit_flow_reduction_block", "exit_flow_separable_conv", "exit_flow", "disposeUnusedWeightTensors", "conv", "x", "params", "stride", "X", "In", "reductionBlock", "isActivateInput", "out", "Fr", "depthwiseSeparableConv", "ru", "mainBlock", "TinyXception", "NeuralNetwork", "numMainBlocks", "input", "B", "batchTensor", "J", "normalized", "normalize", "range", "idx", "toNetInput", "weightMap", "extractParamsFromWeightMap", "weights", "extractParams", "extractParams", "weights", "paramMappings", "extractWeights", "getRemainingWeights", "extractWeightsFactory", "extractFCParams", "extractFCParamsFactory", "age", "gender", "extractParamsFromWeightMap", "weightMap", "paramMappings", "extractWeightEntry", "extractWeightEntryFactory", "extractFcParams", "prefix", "weights", "bias", "params", "disposeUnusedWeightTensors", "Gender", "AgeGenderNet", "NeuralNetwork", "faceFeatureExtractor", "TinyXception", "input", "params", "B", "bottleneckFeatures", "NetInput", "pooled", "Yl", "age", "fullyConnectedLayer", "gender", "iu", "toNetInput", "netInput", "out", "ages", "vr", "genders", "ageAndGenderTensors", "ageTensor", "i", "predictionsByBatch", "genderTensor", "probMale", "isMale", "genderProbability", "throwOnRedispose", "weights", "paramMappings", "extractParams", "weightMap", "featureExtractorMap", "classifierMap", "seperateWeightMaps", "extractParamsFromWeightMap", "featureExtractorWeights", "classifierWeights", "FaceLandmark68NetBase", "FaceProcessor", "output", "inputSize", "originalDimensions", "inputDimensions", "width", "height", "scale", "batchSize", "B", "createInterleavedTensor", "fillX", "fillY", "nr", "xo", "getPadding", "batchIdx", "cond", "getPaddingX", "w", "getPaddingY", "_", "input", "out", "toNetInput", "netInput", "landmarkTensors", "vr", "landmarksForBatch", "landmarkTensor", "landmarksArray", "xCoords", "i", "isEven", "yCoords", "FaceLandmarks68", "Point", "t", "FaceLandmark68Net", "FaceLandmark68NetBase", "faceFeatureExtractor", "FaceFeatureExtractor", "extractParamsFromWeightMapTiny", "weightMap", "paramMappings", "extractDenseBlock3Params", "loadParamsFactory", "params", "disposeUnusedWeightTensors", "extractParamsTiny", "weights", "paramMappings", "extractWeights", "getRemainingWeights", "extractWeightsFactory", "extractDenseBlock3Params", "extractorsFactory", "dense0", "dense1", "dense2", "TinyFaceFeatureExtractor", "NeuralNetwork", "input", "params", "B", "batchTensor", "J", "normalized", "normalize", "out", "denseBlock3", "Yl", "toNetInput", "weightMap", "extractParamsFromWeightMapTiny", "weights", "extractParamsTiny", "FaceLandmark68TinyNet", "FaceLandmark68NetBase", "faceFeatureExtractor", "TinyFaceFeatureExtractor", "FaceLandmarkNet", "FaceLandmark68Net", "scale", "x", "params", "X", "D", "convLayer", "x", "params", "strides", "withRelu", "padding", "filters", "bias", "out", "In", "X", "scale", "Fr", "conv", "convNoRelu", "convDown", "extractorsFactory", "extractWeights", "paramMappings", "extractFilterValues", "numFilterValues", "numFilters", "filterSize", "weights", "depth", "isFloat", "B", "Ot", "$_", "extractConvParams", "mappedPrefix", "filters", "bias", "Me", "extractScaleLayerParams", "numWeights", "biases", "extractConvLayerParams", "conv", "scale", "extractResidualLayerParams", "isDown", "conv1", "conv2", "extractParams", "getRemainingWeights", "extractWeightsFactory", "conv32_down", "conv32_1", "conv32_2", "conv32_3", "conv64_down", "conv64_1", "conv64_2", "conv64_3", "conv128_down", "conv128_1", "conv128_2", "conv256_down", "conv256_1", "conv256_2", "conv256_down_out", "fc", "Vs", "extractorsFactory", "weightMap", "paramMappings", "extractWeightEntry", "extractWeightEntryFactory", "extractScaleLayerParams", "prefix", "weights", "biases", "extractConvLayerParams", "filters", "bias", "scale", "extractResidualLayerParams", "extractParamsFromWeightMap", "conv32_down", "conv32_1", "conv32_2", "conv32_3", "conv64_down", "conv64_1", "conv64_2", "conv64_3", "conv128_down", "conv128_1", "conv128_2", "conv256_down", "conv256_1", "conv256_2", "conv256_down_out", "fc", "isTensor2D", "params", "disposeUnusedWeightTensors", "residual", "x", "params", "out", "conv", "convNoRelu", "X", "Fr", "residualDown", "convDown", "pooled", "Yl", "zeros", "Ne", "isPad", "padShapeX", "zerosW", "ne", "padShapeY", "zerosH", "FaceRecognitionNet", "NeuralNetwork", "input", "params", "B", "batchTensor", "J", "normalized", "normalize", "out", "convDown", "ru", "residual", "residualDown", "globalAvg", "Lt", "toNetInput", "_a", "dim", "netInput", "faceDescriptorTensors", "vr", "faceDescriptorsForBatch", "t", "weightMap", "extractParamsFromWeightMap", "weights", "extractParams", "createFaceRecognitionNet", "weights", "net", "FaceRecognitionNet", "extendWithFaceDescriptor", "sourceObj", "descriptor", "isWithAge", "obj", "extendWithAge", "sourceObj", "age", "isWithGender", "obj", "isValidProbablitiy", "extendWithGender", "sourceObj", "gender", "genderProbability", "extractorsFactory", "extractWeights", "paramMappings", "extractDepthwiseConvParams", "numChannels", "mappedPrefix", "filters", "$_", "batch_norm_scale", "Me", "batch_norm_offset", "batch_norm_mean", "batch_norm_variance", "extractConvParams", "channelsIn", "channelsOut", "filterSize", "isPointwiseConv", "bias", "extractPointwiseConvParams", "extractConvPairParams", "depthwise_conv", "pointwise_conv", "extractMobilenetV1Params", "conv_0", "conv_1", "conv_2", "conv_3", "conv_4", "conv_5", "conv_6", "conv_7", "conv_8", "conv_9", "conv_10", "conv_11", "conv_12", "conv_13", "extractPredictionLayerParams", "box_encoding_0_predictor", "class_predictor_0", "box_encoding_1_predictor", "class_predictor_1", "box_encoding_2_predictor", "class_predictor_2", "box_encoding_3_predictor", "class_predictor_3", "box_encoding_4_predictor", "class_predictor_4", "box_encoding_5_predictor", "class_predictor_5", "extractParams", "weights", "getRemainingWeights", "extractWeightsFactory", "mobilenetv1", "prediction_layer", "output_layer", "rx", "extractorsFactory", "weightMap", "paramMappings", "extractWeightEntry", "extractWeightEntryFactory", "extractPointwiseConvParams", "prefix", "idx", "mappedPrefix", "filters", "batch_norm_offset", "extractConvPairParams", "prefixDepthwiseConv", "mappedPrefixDepthwiseConv", "mappedPrefixPointwiseConv", "batch_norm_scale", "batch_norm_mean", "batch_norm_variance", "extractMobilenetV1Params", "extractConvParams", "bias", "extractBoxPredictorParams", "box_encoding_predictor", "class_predictor", "extractPredictionLayerParams", "extractParamsFromWeightMap", "extra_dim", "isTensor3D", "params", "disposeUnusedWeightTensors", "pointwiseConvLayer", "x", "params", "strides", "B", "out", "In", "X", "Cr", "epsilon", "depthwiseConvLayer", "x", "params", "strides", "B", "out", "Fi", "Di", "Cr", "getStridesForLayerIdx", "layerIdx", "idx", "mobileNetV1", "conv11", "pointwiseConvLayer", "param", "depthwiseConvStrides", "IOU", "boxes", "i", "j", "boxesData", "yminI", "xminI", "ymaxI", "xmaxI", "yminJ", "xminJ", "ymaxJ", "xmaxJ", "areaI", "areaJ", "intersectionYmin", "intersectionXmin", "intersectionYmax", "intersectionXmax", "intersectionArea", "nonMaxSuppression", "scores", "maxOutputSize", "iouThreshold", "scoreThreshold", "numBoxes", "outputSize", "candidates", "score", "boxIndex", "c", "c1", "c2", "suppressFunc", "x", "selected", "originalScore", "iou", "getCenterCoordinatesAndSizesLayer", "x", "vec", "vr", "Ot", "sizes", "ct", "centers", "X", "pt", "decodeBoxesLayer", "x0", "x1", "div0_out", "D", "er", "add0_out", "div1_out", "add1_out", "nr", "outputLayer", "boxPredictions", "classPredictions", "params", "B", "batchSize", "boxes", "R", "Dr", "scoresAndClasses", "Yr", "Rt", "scores", "boxesByBatch", "scoresByBatch", "boxPredictionLayer", "x", "params", "B", "batchSize", "boxPredictionEncoding", "R", "convLayer", "classPrediction", "predictionLayer", "x", "conv11", "params", "B", "conv0", "pointwiseConvLayer", "conv1", "conv2", "conv3", "conv4", "conv5", "conv6", "conv7", "boxPrediction0", "boxPredictionLayer", "boxPrediction1", "boxPrediction2", "boxPrediction3", "boxPrediction4", "boxPrediction5", "boxPredictions", "ne", "classPredictions", "SsdMobilenetv1Options", "minConfidence", "maxResults", "SsdMobilenetv1", "NeuralNetwork", "input", "params", "B", "batchTensor", "J", "x", "ct", "pt", "features", "mobileNetV1", "boxPredictions", "classPredictions", "predictionLayer", "outputLayer", "toNetInput", "options", "maxResults", "minConfidence", "SsdMobilenetv1Options", "netInput", "_boxes", "_scores", "boxes", "scores", "i", "scoresData", "indices", "nonMaxSuppression", "reshapedDims", "inputSize", "padX", "padY", "boxesData", "results", "idx", "top", "bottom", "val", "left", "right", "FaceDetection", "Rect", "weightMap", "extractParamsFromWeightMap", "weights", "extractParams", "createSsdMobilenetv1", "weights", "net", "SsdMobilenetv1", "createFaceDetectionNet", "FaceDetectionNet", "IOU_THRESHOLD", "BOX_ANCHORS", "Point", "BOX_ANCHORS_SEPARABLE", "MEAN_RGB_SEPARABLE", "DEFAULT_MODEL_NAME", "DEFAULT_MODEL_NAME_SEPARABLE_CONV", "isNumber", "arg", "validateConfig", "config", "c", "a", "leaky", "x", "B", "min", "D", "mt", "X", "Fr", "ct", "convWithBatchNorm", "x", "params", "B", "out", "cn", "In", "ct", "D", "X", "leaky", "depthwiseSeparableConv", "x", "params", "B", "out", "cn", "mm", "X", "leaky", "extractorsFactory", "extractWeights", "paramMappings", "extractConvParams", "extractConvParamsFactory", "extractBatchNormParams", "size", "mappedPrefix", "sub", "Me", "truediv", "extractConvWithBatchNormParams", "channelsIn", "channelsOut", "conv", "bn", "extractSeparableConvParams", "extractSeparableConvParamsFactory", "extractParams", "weights", "config", "boxEncodingSize", "filterSizes", "getRemainingWeights", "extractWeightsFactory", "params", "s0", "s1", "s2", "s3", "s4", "s5", "s6", "s7", "s8", "conv0", "conv1", "conv2", "conv3", "conv4", "conv5", "conv6", "conv7", "conv8", "extractorsFactory", "weightMap", "paramMappings", "extractWeightEntry", "extractWeightEntryFactory", "extractBatchNormParams", "prefix", "sub", "truediv", "extractConvParams", "filters", "bias", "extractConvWithBatchNormParams", "conv", "bn", "extractSeparableConvParams", "loadSeparableConvParamsFactory", "extractParamsFromWeightMap", "config", "params", "numFilters", "disposeUnusedWeightTensors", "TinyYolov2Options", "inputSize", "scoreThreshold", "_TinyYolov2Base", "NeuralNetwork", "config", "validateConfig", "x", "params", "out", "convWithBatchNorm", "ru", "convLayer", "leaky", "depthwiseSeparableConv", "input", "inputSize", "B", "batchTensor", "J", "normalize", "toNetInput", "forwardParams", "scoreThreshold", "TinyYolov2Options", "netInput", "out0", "vr", "inputDimensions", "results", "boxes", "res", "scores", "classScores", "classNames", "nonMaxSuppression", "box", "idx", "ObjectDetection", "weightMap", "extractParamsFromWeightMap", "weights", "filterSizes", "numFilters", "extractParams", "outputTensor", "inputBlobDimensions", "width", "height", "correctionFactorX", "correctionFactorY", "numCells", "numBoxes", "boxesTensor", "scoresTensor", "classScoresTensor", "reshaped", "iu", "mt", "scoresData", "boxesData", "row", "col", "anchor", "score", "sigmoid", "ctX", "ctY", "widthLocal", "heightLocal", "y", "pos", "classScore", "label", "BoundingBox", "classesTensor", "classesData", "_", "i", "max", "curr", "TinyYolov2Base", "TinyYolov2", "TinyYolov2Base", "withSeparableConvs", "config", "IOU_THRESHOLD", "BOX_ANCHORS_SEPARABLE", "MEAN_RGB_SEPARABLE", "BOX_ANCHORS", "input", "forwardParams", "det", "FaceDetection", "DEFAULT_MODEL_NAME_SEPARABLE_CONV", "DEFAULT_MODEL_NAME", "weightMap", "createTinyYolov2", "weights", "withSeparableConvs", "net", "TinyYolov2", "TinyFaceDetectorOptions", "TinyYolov2Options", "ComposableTask", "onfulfilled", "extractAllFacesAndComputeResults", "parentResults", "input", "computeResults", "extractedFaces", "getRectForAlignment", "alignedRect", "faceBoxes", "parentResult", "isWithFaceLandmarks", "faces", "Ft", "extractFaceTensors", "extractFaces", "results", "f", "extractSingleFaceAndComputeResult", "computeResult", "IOU_THRESHOLD", "BOX_ANCHORS", "Point", "MEAN_RGB", "TinyFaceDetector", "TinyYolov2Base", "config", "IOU_THRESHOLD", "BOX_ANCHORS", "MEAN_RGB", "input", "forwardParams", "det", "FaceDetection", "weightMap", "nets", "SsdMobilenetv1", "TinyFaceDetector", "TinyYolov2", "FaceLandmark68Net", "FaceLandmark68TinyNet", "FaceRecognitionNet", "FaceExpressionNet", "AgeGenderNet", "ssdMobilenetv1", "input", "options", "tinyFaceDetector", "tinyYolov2", "detectFaceLandmarks", "detectFaceLandmarksTiny", "computeFaceDescriptor", "recognizeFaceExpressions", "predictAgeAndGender", "loadSsdMobilenetv1Model", "url", "loadTinyFaceDetectorModel", "loadTinyYolov2Model", "loadFaceLandmarkModel", "loadFaceLandmarkTinyModel", "loadFaceRecognitionModel", "loadFaceExpressionModel", "loadAgeGenderModel", "loadFaceDetectionModel", "locateFaces", "detectLandmarks", "PredictFaceExpressionsTaskBase", "ComposableTask", "parentTask", "input", "extractedFaces", "PredictAllFaceExpressionsTask", "parentResults", "faceExpressionsByFace", "extractAllFacesAndComputeResults", "faces", "face", "nets", "parentResult", "i", "extendWithFaceExpressions", "PredictAllAgeAndGenderTask", "PredictSingleFaceExpressionsTask", "faceExpressions", "extractSingleFaceAndComputeResult", "PredictSingleAgeAndGenderTask", "PredictAllFaceExpressionsWithFaceAlignmentTask", "PredictAllAgeAndGenderWithFaceAlignmentTask", "ComputeAllFaceDescriptorsTask", "PredictSingleFaceExpressionsWithFaceAlignmentTask", "PredictSingleAgeAndGenderWithFaceAlignmentTask", "ComputeSingleFaceDescriptorTask", "PredictAgeAndGenderTaskBase", "ComposableTask", "parentTask", "input", "extractedFaces", "PredictAllAgeAndGenderTask", "parentResults", "ageAndGenderByFace", "extractAllFacesAndComputeResults", "faces", "face", "nets", "parentResult", "i", "age", "gender", "genderProbability", "extendWithAge", "extendWithGender", "PredictAllFaceExpressionsTask", "PredictSingleAgeAndGenderTask", "extractSingleFaceAndComputeResult", "PredictSingleFaceExpressionsTask", "PredictAllAgeAndGenderWithFaceAlignmentTask", "PredictAllFaceExpressionsWithFaceAlignmentTask", "ComputeAllFaceDescriptorsTask", "PredictSingleAgeAndGenderWithFaceAlignmentTask", "PredictSingleFaceExpressionsWithFaceAlignmentTask", "ComputeSingleFaceDescriptorTask", "ComputeFaceDescriptorsTaskBase", "ComposableTask", "parentTask", "input", "ComputeAllFaceDescriptorsTask", "parentResults", "extractAllFacesAndComputeResults", "faces", "face", "nets", "parentResult", "descriptor", "i", "extendWithFaceDescriptor", "PredictAllFaceExpressionsWithFaceAlignmentTask", "PredictAllAgeAndGenderWithFaceAlignmentTask", "ComputeSingleFaceDescriptorTask", "extractSingleFaceAndComputeResult", "PredictSingleFaceExpressionsWithFaceAlignmentTask", "PredictSingleAgeAndGenderWithFaceAlignmentTask", "DetectFaceLandmarksTaskBase", "ComposableTask", "parentTask", "input", "useTinyLandmarkNet", "nets", "DetectAllFaceLandmarksTask", "parentResults", "detections", "res", "faces", "Ft", "extractFaceTensors", "extractFaces", "faceLandmarksByFace", "face", "f", "_parentResult", "i", "parentResult", "extendWithFaceLandmarks", "PredictAllFaceExpressionsWithFaceAlignmentTask", "PredictAllAgeAndGenderWithFaceAlignmentTask", "ComputeAllFaceDescriptorsTask", "DetectSingleFaceLandmarksTask", "detection", "landmarks", "PredictSingleFaceExpressionsWithFaceAlignmentTask", "PredictSingleAgeAndGenderWithFaceAlignmentTask", "ComputeSingleFaceDescriptorTask", "DetectFacesTaskBase", "ComposableTask", "input", "options", "SsdMobilenetv1Options", "DetectAllFacesTask", "result", "TinyFaceDetectorOptions", "nets", "TinyYolov2Options", "resolve", "reject", "detections", "detection", "extendWithFaceDetection", "err", "useTinyLandmarkNet", "DetectAllFaceLandmarksTask", "PredictAllFaceExpressionsTask", "PredictAllAgeAndGenderTask", "DetectSingleFaceTask", "faceDetections", "faceDetectionWithHighestScore", "faceDetection", "DetectSingleFaceLandmarksTask", "PredictSingleFaceExpressionsTask", "PredictSingleAgeAndGenderTask", "detectSingleFace", "input", "options", "SsdMobilenetv1Options", "DetectSingleFaceTask", "detectAllFaces", "DetectAllFacesTask", "allFacesSsdMobilenetv1", "input", "minConfidence", "detectAllFaces", "SsdMobilenetv1Options", "allFacesTinyYolov2", "forwardParams", "TinyYolov2Options", "allFaces", "euclideanDistance", "arr1", "arr2", "desc1", "desc2", "val", "i", "res", "diff", "FaceMatcher", "inputs", "distanceThreshold", "inputArray", "count", "createUniqueLabel", "desc", "LabeledFaceDescriptors", "queryDescriptor", "descriptors", "d", "euclideanDistance", "d1", "d2", "label", "FaceMatch", "best", "curr", "bestMatch", "ld", "json", "labeledDescriptors", "createTinyFaceDetector", "weights", "net", "TinyFaceDetector", "resizeResults", "results", "dimensions", "width", "height", "Dimensions", "obj", "isWithFaceLandmarks", "resizedDetection", "resizedLandmarks", "extendWithFaceLandmarks", "extendWithFaceDetection", "isWithFaceDetection", "FaceLandmarks", "FaceDetection", "version"] } diff --git a/dist/face-api.js b/dist/face-api.js index 1a433f6..9399e8b 100644 --- a/dist/face-api.js +++ b/dist/face-api.js @@ -4,64 +4,65 @@ author: ' */ -"use strict";var faceapi=(()=>{var uy=Object.defineProperty;var tF=Object.getOwnPropertyDescriptor;var nF=Object.getOwnPropertyNames;var aF=Object.prototype.hasOwnProperty;var Kr=(e=>typeof require!="undefined"?require:typeof Proxy!="undefined"?new Proxy(e,{get:(t,n)=>(typeof require!="undefined"?require:t)[n]}):e)(function(e){if(typeof require!="undefined")return require.apply(this,arguments);throw new Error('Dynamic require of "'+e+'" is not supported')});var ah=(e,t)=>{for(var n in t)uy(e,n,{get:t[n],enumerable:!0})},rF=(e,t,n,a)=>{if(t&&typeof t=="object"||typeof t=="function")for(let r of nF(t))!aF.call(e,r)&&r!==n&&uy(e,r,{get:()=>t[r],enumerable:!(a=tF(t,r))||a.enumerable});return e};var sF=e=>rF(uy({},"__esModule",{value:!0}),e);var Sce={};ah(Sce,{AgeGenderNet:()=>vd,BoundingBox:()=>No,Box:()=>st,ComposableTask:()=>wa,ComputeAllFaceDescriptorsTask:()=>Ur,ComputeFaceDescriptorsTaskBase:()=>Sd,ComputeSingleFaceDescriptorTask:()=>Gr,DetectAllFaceLandmarksTask:()=>Nd,DetectAllFacesTask:()=>bp,DetectFaceLandmarksTaskBase:()=>Td,DetectFacesTaskBase:()=>_d,DetectSingleFaceLandmarksTask:()=>Cd,DetectSingleFaceTask:()=>Ed,Dimensions:()=>bn,FACE_EXPRESSION_LABELS:()=>E1,FaceDetection:()=>bt,FaceDetectionNet:()=>P1,FaceExpressionNet:()=>xd,FaceExpressions:()=>Br,FaceLandmark68Net:()=>Mo,FaceLandmark68TinyNet:()=>wd,FaceLandmarkNet:()=>D1,FaceLandmarks:()=>aa,FaceLandmarks5:()=>f1,FaceLandmarks68:()=>_o,FaceMatch:()=>ap,FaceMatcher:()=>Ad,FaceRecognitionNet:()=>Po,Gender:()=>mg,LabeledBox:()=>rp,LabeledFaceDescriptors:()=>fr,NetInput:()=>br,NeuralNetwork:()=>rn,ObjectDetection:()=>Or,Point:()=>Fe,PredictedBox:()=>g1,Rect:()=>Co,SsdMobilenetv1:()=>As,SsdMobilenetv1Options:()=>va,TinyFaceDetector:()=>Wo,TinyFaceDetectorOptions:()=>Id,TinyYolov2:()=>zo,TinyYolov2Options:()=>Za,allFaces:()=>wce,allFacesSsdMobilenetv1:()=>v$,allFacesTinyYolov2:()=>vce,awaitMediaLoaded:()=>I1,bufferToImage:()=>S1,computeFaceDescriptor:()=>ice,createCanvas:()=>Fo,createCanvasFromMedia:()=>fd,createFaceDetectionNet:()=>Qpe,createFaceRecognitionNet:()=>Vpe,createSsdMobilenetv1:()=>s$,createTinyFaceDetector:()=>kce,createTinyYolov2:()=>nce,detectAllFaces:()=>Ig,detectFaceLandmarks:()=>y$,detectFaceLandmarksTiny:()=>sce,detectLandmarks:()=>yce,detectSingleFace:()=>xce,draw:()=>$1,env:()=>Je,euclideanDistance:()=>z1,extendWithAge:()=>yg,extendWithFaceDescriptor:()=>bg,extendWithFaceDetection:()=>Eo,extendWithFaceExpressions:()=>pg,extendWithFaceLandmarks:()=>hp,extendWithGender:()=>xg,extractFaceTensors:()=>op,extractFaces:()=>ip,fetchImage:()=>_pe,fetchJson:()=>C1,fetchNetWeights:()=>Epe,fetchOrThrow:()=>zr,fetchVideo:()=>Ape,getContext2dOrThrow:()=>Gn,getMediaDimensions:()=>$o,imageTensorToCanvas:()=>T1,imageToSquare:()=>N1,inverseSigmoid:()=>wpe,iou:()=>c1,isMediaElement:()=>ng,isMediaLoaded:()=>md,isWithAge:()=>Upe,isWithFaceDetection:()=>gr,isWithFaceExpressions:()=>A1,isWithFaceLandmarks:()=>Ro,isWithGender:()=>Gpe,loadAgeGenderModel:()=>fce,loadFaceDetectionModel:()=>gce,loadFaceExpressionModel:()=>mce,loadFaceLandmarkModel:()=>cce,loadFaceLandmarkTinyModel:()=>dce,loadFaceRecognitionModel:()=>hce,loadSsdMobilenetv1Model:()=>x$,loadTinyFaceDetectorModel:()=>uce,loadTinyYolov2Model:()=>pce,loadWeightMap:()=>_1,locateFaces:()=>bce,matchDimensions:()=>$pe,minBbox:()=>d1,nets:()=>Qe,nonMaxSuppression:()=>h1,normalize:()=>Xa,padToSquare:()=>m1,predictAgeAndGender:()=>lce,recognizeFaceExpressions:()=>oce,resizeResults:()=>w$,resolveInput:()=>Ao,shuffleArray:()=>vpe,sigmoid:()=>cd,ssdMobilenetv1:()=>b$,tf:()=>Pe,tinyFaceDetector:()=>ace,tinyYolov2:()=>rce,toNetInput:()=>yt,utils:()=>p1,validateConfig:()=>O1,version:()=>Ice});var Pe={};ah(Pe,{Abs:()=>$l,Acos:()=>Fl,Acosh:()=>Dl,AdadeltaOptimizer:()=>vf,AdagradOptimizer:()=>wf,AdamOptimizer:()=>kf,AdamaxOptimizer:()=>If,Add:()=>fs,AddN:()=>fi,All:()=>Rl,Any:()=>Ml,ArgMax:()=>gi,ArgMin:()=>uc,Asin:()=>Pl,Asinh:()=>Ol,Atan:()=>Ll,Atan2:()=>Bl,Atanh:()=>zl,AvgPool:()=>bi,AvgPool3D:()=>pc,AvgPool3DGrad:()=>pm,AvgPoolGrad:()=>um,BackendWasm:()=>RA,BatchMatMul:()=>yi,BatchToSpaceND:()=>Wl,Bincount:()=>cm,BroadcastArgs:()=>dm,BroadcastTo:()=>qI,Callback:()=>c2,CallbackList:()=>fN,Cast:()=>xi,Ceil:()=>vi,ClipByValue:()=>gs,Complex:()=>hm,ComplexAbs:()=>cc,Concat:()=>Vl,Conv2D:()=>wi,Conv2DBackpropFilter:()=>mm,Conv2DBackpropInput:()=>ki,Conv3D:()=>dc,Conv3DBackpropFilterV2:()=>fm,Conv3DBackpropInputV2:()=>gm,Cos:()=>Ii,Cosh:()=>Si,CropAndResize:()=>Gl,Cumprod:()=>Ul,Cumsum:()=>Ti,CustomCallback:()=>bN,DataStorage:()=>im,DenseBincount:()=>bm,DepthToSpace:()=>Hl,DepthwiseConv2dNative:()=>Ni,DepthwiseConv2dNativeBackpropFilter:()=>ym,DepthwiseConv2dNativeBackpropInput:()=>xm,Diag:()=>vm,Dilation2D:()=>hc,Dilation2DBackpropFilter:()=>$h,Dilation2DBackpropInput:()=>Ah,ENV:()=>Ex,EarlyStopping:()=>d2,Einsum:()=>wm,Elu:()=>_i,EluGrad:()=>km,Environment:()=>HI,Equal:()=>ql,Erf:()=>jl,Exp:()=>Ei,ExpandDims:()=>Kl,Expm1:()=>Xl,FFT:()=>Im,Fill:()=>mc,FlipLeftRight:()=>Yl,Floor:()=>Ai,FloorDiv:()=>$i,FromPixels:()=>Fh,FusedBatchNorm:()=>Fi,FusedConv2D:()=>ei,FusedDepthwiseConv2D:()=>ti,GPGPUContext:()=>Th,GatherNd:()=>Jl,GatherV2:()=>Zl,GraphModel:()=>N0,Greater:()=>Ql,GreaterEqual:()=>Di,History:()=>gN,IFFT:()=>Sm,Identity:()=>Ri,Imag:()=>Tm,InputSpec:()=>zt,IsFinite:()=>eu,IsInf:()=>tu,IsNan:()=>nu,KernelBackend:()=>lc,LRN:()=>fc,LRNGrad:()=>Cm,LayerVariable:()=>lN,LayersModel:()=>Er,LeakyRelu:()=>Mi,Less:()=>au,LessEqual:()=>ru,LinSpace:()=>Nm,Log:()=>Pi,Log1p:()=>su,LogSoftmax:()=>XI,LogicalAnd:()=>iu,LogicalNot:()=>ou,LogicalOr:()=>lu,LogicalXor:()=>KI,LowerBound:()=>XF,MathBackendWebGL:()=>qf,Max:()=>Oi,MaxPool:()=>zi,MaxPool3D:()=>gc,MaxPool3DGrad:()=>Em,MaxPoolGrad:()=>_m,MaxPoolWithArgmax:()=>Am,Maximum:()=>Li,Mean:()=>Bi,Min:()=>Wi,Minimum:()=>Vi,MirrorPad:()=>Ui,Mod:()=>uu,MomentumOptimizer:()=>Sf,Multinomial:()=>$m,Multiply:()=>Gi,Neg:()=>pu,NonMaxSuppressionV3:()=>du,NonMaxSuppressionV4:()=>hu,NonMaxSuppressionV5:()=>mu,NotEqual:()=>cu,OP_SCOPE_SUFFIX:()=>Dx,OneHot:()=>Hi,OnesLike:()=>fu,Optimizer:()=>Dr,OptimizerConstructors:()=>Xr,Pack:()=>gu,PadV2:()=>ji,Pool:()=>YF,Pow:()=>qi,Prelu:()=>Ki,Prod:()=>Xi,RMSPropOptimizer:()=>Tf,RNN:()=>hr,RaggedGather:()=>Fm,RaggedTensorToTensor:()=>Dm,Range:()=>bc,Rank:()=>Cy,Real:()=>Rm,RealDiv:()=>Ci,Reciprocal:()=>bu,Reduction:()=>vn,Relu:()=>Yi,Relu6:()=>Qi,Reshape:()=>yu,ResizeBilinear:()=>Ji,ResizeBilinearGrad:()=>Pm,ResizeNearestNeighbor:()=>Zi,ResizeNearestNeighborGrad:()=>Mm,Reverse:()=>eo,RotateWithOffset:()=>Ru,Round:()=>to,Rsqrt:()=>no,SGDOptimizer:()=>Hc,ScatterNd:()=>xu,SearchSorted:()=>Om,Select:()=>vu,Selu:()=>wu,Sequential:()=>Il,Sigmoid:()=>ro,Sign:()=>Su,Sin:()=>ao,Sinh:()=>Iu,Slice:()=>ku,Softmax:()=>oo,Softplus:()=>Tu,SpaceToBatchND:()=>Nu,SparseFillEmptyRows:()=>yc,SparseReshape:()=>_u,SparseSegmentMean:()=>xc,SparseSegmentSum:()=>vc,SparseToDense:()=>Lm,SplitV:()=>Cu,Sqrt:()=>so,Square:()=>wc,SquaredDifference:()=>lo,Step:()=>ys,StridedSlice:()=>Eu,StringNGrams:()=>kc,StringSplit:()=>Ic,StringToHashBucketFast:()=>Sc,Sub:()=>uo,Sum:()=>io,SymbolicTensor:()=>za,Tan:()=>po,Tanh:()=>co,Tensor:()=>Te,TensorBuffer:()=>Ht,Tile:()=>bs,TopK:()=>Au,Transform:()=>$u,Transpose:()=>_r,Unique:()=>zm,Unpack:()=>Fu,UnsortedSegmentSum:()=>Tc,UpperBound:()=>ZF,Variable:()=>ss,ZerosLike:()=>Du,_FusedMatMul:()=>Qs,abs:()=>Lt,acos:()=>qx,acosh:()=>Kx,add:()=>Y,addN:()=>BS,all:()=>Gm,any:()=>Yp,argMax:()=>ri,argMin:()=>Xx,asin:()=>Yx,asinh:()=>Zx,atan:()=>Jx,atan2:()=>Qx,atanh:()=>ev,avgPool:()=>ga,avgPool3d:()=>nv,backend:()=>kS,backend_util:()=>N,basicLSTMCell:()=>GS,batchNorm:()=>ws,batchNorm2d:()=>av,batchNorm3d:()=>rv,batchNorm4d:()=>sv,batchToSpaceND:()=>Rc,bincount:()=>iv,booleanMaskAsync:()=>NT,broadcastArgs:()=>HS,broadcastTo:()=>Xs,broadcast_util:()=>Mu,browser:()=>ho,buffer:()=>Oe,callbacks:()=>gH,cast:()=>oe,ceil:()=>ov,clipByValue:()=>Qt,clone:()=>sr,complex:()=>Ar,concat:()=>Ze,concat1d:()=>lv,concat2d:()=>uv,concat3d:()=>pv,concat4d:()=>cv,constraints:()=>cN,conv1d:()=>Hm,conv2d:()=>$t,conv2dTranspose:()=>jm,conv3d:()=>hv,conv3dTranspose:()=>mv,copyRegisteredKernels:()=>tD,cos:()=>Mc,cosh:()=>qm,cosineWindow:()=>ff,cumprod:()=>Zp,cumsum:()=>Km,customGrad:()=>lr,data:()=>P2,denseBincount:()=>qS,deprecationWarn:()=>Bx,depthToSpace:()=>fv,depthwiseConv2d:()=>ks,deregisterOp:()=>xH,device_util:()=>Ec,diag:()=>KS,dilation2d:()=>gv,disableDeprecationWarnings:()=>ER,dispose:()=>$e,disposeVariables:()=>AR,div:()=>he,divNoNan:()=>bv,dot:()=>yv,dropout:()=>Hv,einsum:()=>XS,elu:()=>Pu,enableDebugMode:()=>_R,enableProdMode:()=>CR,enclosingPowerOfTwo:()=>jv,engine:()=>er,env:()=>H,equal:()=>Qn,erf:()=>xv,euclideanNorm:()=>kv,exp:()=>fn,expandDims:()=>hn,expm1:()=>Iv,eye:()=>Xm,fft:()=>Uc,fill:()=>gn,findBackend:()=>OR,findBackendFactory:()=>LR,floor:()=>Lu,floorDiv:()=>Um,forceHalfFloat:()=>eE,fused:()=>vl,gather:()=>zu,gatherND:()=>AT,gather_util:()=>Wx,getBackend:()=>MR,getGradient:()=>Ty,getKernel:()=>Dh,getKernelsForBackend:()=>Rh,getThreadsCount:()=>ope,gpgpu_util:()=>F_,grad:()=>lO,grads:()=>uO,greater:()=>Vn,greaterEqual:()=>Is,ifft:()=>xl,imag:()=>$c,image:()=>Nr,inTopKAsync:()=>$T,initializers:()=>dN,input:()=>$N,io:()=>Ut,irfft:()=>cf,isFinite:()=>Sv,isInf:()=>Tv,isNaN:()=>Nv,keep:()=>Zt,kernel_impls:()=>dr,layers:()=>hN,leakyRelu:()=>Pc,less:()=>Ym,lessEqual:()=>Ss,linalg:()=>Xv,linspace:()=>eT,loadGraphModel:()=>k6,loadGraphModelSync:()=>I6,loadLayersModel:()=>TU,localResponseNormalization:()=>Cv,log:()=>ea,log1p:()=>Oc,logSigmoid:()=>_v,logSoftmax:()=>Jm,logSumExp:()=>Qm,logicalAnd:()=>Aa,logicalNot:()=>Lc,logicalOr:()=>ef,logicalXor:()=>Ev,losses:()=>UT,lowerBound:()=>nT,matMul:()=>Ae,math:()=>wS,max:()=>_a,maxPool:()=>Dt,maxPool3d:()=>Av,maxPoolWithArgmax:()=>aT,maximum:()=>cr,mean:()=>Nt,memory:()=>Oh,meshgrid:()=>rT,metrics:()=>l2,min:()=>Jp,minimum:()=>Bu,mirrorPad:()=>$v,mod:()=>Fv,model:()=>IU,models:()=>u2,moments:()=>zc,movingAverage:()=>CT,mul:()=>z,multiRNNCell:()=>sT,multinomial:()=>iT,neg:()=>vt,nextFrame:()=>Yv,norm:()=>Ou,notEqual:()=>oi,oneHot:()=>fl,ones:()=>Zn,onesLike:()=>ta,op:()=>L,outerProduct:()=>oT,pad:()=>ba,pad1d:()=>lT,pad2d:()=>uT,pad3d:()=>pT,pad4d:()=>cT,pool:()=>Dv,pow:()=>$r,prelu:()=>Wc,print:()=>Ox,prod:()=>Rv,profile:()=>$R,raggedGather:()=>dT,raggedTensorToTensor:()=>hT,rand:()=>mT,randomGamma:()=>fT,randomNormal:()=>nf,randomStandardNormal:()=>gT,randomUniform:()=>Wu,range:()=>bl,ready:()=>RR,real:()=>gl,reciprocal:()=>Ov,registerBackend:()=>Vm,registerCallbackConstructor:()=>NU,registerGradient:()=>YI,registerKernel:()=>Nc,registerOp:()=>yH,regularizers:()=>p2,relu:()=>Xe,relu6:()=>af,removeBackend:()=>PR,reshape:()=>B,reverse:()=>fa,reverse1d:()=>bT,reverse2d:()=>yT,reverse3d:()=>xT,reverse4d:()=>vT,rfft:()=>Gc,round:()=>rf,rsqrt:()=>sf,scalar:()=>ye,scatterND:()=>_T,scatter_util:()=>Vx,searchSorted:()=>tf,selu:()=>of,separableConv2d:()=>Ts,sequential:()=>SU,serialization:()=>ne,setBackend:()=>DR,setPlatform:()=>zR,setThreadsCount:()=>ipe,setWasmPath:()=>rpe,setWasmPaths:()=>spe,setWebGLContext:()=>n_,setdiff1dAsync:()=>wT,sigmoid:()=>ha,sign:()=>Lv,signal:()=>VT,sin:()=>lf,sinh:()=>uf,slice:()=>We,slice1d:()=>Vc,slice2d:()=>pf,slice3d:()=>fo,slice4d:()=>yl,slice_util:()=>jt,softmax:()=>ja,softplus:()=>mo,spaceToBatchND:()=>Bc,sparse:()=>GT,sparseToDense:()=>ET,spectral:()=>WT,split:()=>Ln,sqrt:()=>ln,square:()=>lt,squaredDifference:()=>df,squeeze:()=>Ns,stack:()=>Ft,step:()=>go,stridedSlice:()=>zv,string:()=>HT,sub:()=>pe,sum:()=>fe,sumOutType:()=>Wm,tan:()=>Bv,tanh:()=>si,tensor:()=>On,tensor1d:()=>Ke,tensor2d:()=>Ea,tensor3d:()=>Fc,tensor4d:()=>Fa,tensor5d:()=>kT,tensor6d:()=>IT,tensor_util:()=>Ba,test_util:()=>OS,tidy:()=>P,tile:()=>Pn,time:()=>FR,topk:()=>Wv,train:()=>Bs,transpose:()=>Ce,truncatedNormal:()=>hf,unique:()=>Vv,unregisterGradient:()=>eD,unregisterKernel:()=>QF,unsortedSegmentSum:()=>mf,unstack:()=>ct,upcastType:()=>ma,upperBound:()=>ST,util:()=>v,valueAndGrad:()=>pO,valueAndGrads:()=>cO,variable:()=>Uv,variableGrads:()=>tT,version:()=>ype,version_converter:()=>T6,version_core:()=>bM,version_layers:()=>yw,version_wasm:()=>lpe,version_webgl:()=>QZ,webgl:()=>eJ,webgl_util:()=>t_,where:()=>mn,whereAsync:()=>Gv,zeros:()=>It,zerosLike:()=>je});var iF=Object.create,Sx=Object.defineProperty,oF=Object.getOwnPropertyDescriptor,lF=Object.getOwnPropertyNames,uF=Object.getPrototypeOf,pF=Object.prototype.hasOwnProperty,DI=(e=>typeof Kr!="undefined"?Kr:typeof Proxy!="undefined"?new Proxy(e,{get:(t,n)=>(typeof Kr!="undefined"?Kr:t)[n]}):e)(function(e){if(typeof Kr!="undefined")return Kr.apply(this,arguments);throw new Error('Dynamic require of "'+e+'" is not supported')}),Wt=(e,t)=>()=>(t||e((t={exports:{}}).exports,t),t.exports),_e=(e,t)=>{for(var n in t)Sx(e,n,{get:t[n],enumerable:!0})},cF=(e,t,n,a)=>{if(t&&typeof t=="object"||typeof t=="function")for(let r of lF(t))!pF.call(e,r)&&r!==n&&Sx(e,r,{get:()=>t[r],enumerable:!(a=oF(t,r))||a.enumerable});return e},hs=(e,t,n)=>(n=e!=null?iF(uF(e)):{},cF(t||!e||!e.__esModule?Sx(n,"default",{value:e,enumerable:!0}):n,e)),dF=Wt((e,t)=>{t.exports=a;var n=null;try{n=new WebAssembly.Instance(new WebAssembly.Module(new Uint8Array([0,97,115,109,1,0,0,0,1,13,2,96,0,1,127,96,4,127,127,127,127,1,127,3,7,6,0,1,1,1,1,1,6,6,1,127,1,65,0,11,7,50,6,3,109,117,108,0,1,5,100,105,118,95,115,0,2,5,100,105,118,95,117,0,3,5,114,101,109,95,115,0,4,5,114,101,109,95,117,0,5,8,103,101,116,95,104,105,103,104,0,0,10,191,1,6,4,0,35,0,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,126,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,127,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,128,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,129,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,130,34,4,66,32,135,167,36,0,32,4,167,11])),{}).exports}catch(S){}function a(S,M,W){this.low=S|0,this.high=M|0,this.unsigned=!!W}a.prototype.__isLong__,Object.defineProperty(a.prototype,"__isLong__",{value:!0});function r(S){return(S&&S.__isLong__)===!0}a.isLong=r;var s={},i={};function o(S,M){var W,U,G;return M?(S>>>=0,(G=0<=S&&S<256)&&(U=i[S],U)?U:(W=u(S,(S|0)<0?-1:0,!0),G&&(i[S]=W),W)):(S|=0,(G=-128<=S&&S<128)&&(U=s[S],U)?U:(W=u(S,S<0?-1:0,!1),G&&(s[S]=W),W))}a.fromInt=o;function l(S,M){if(isNaN(S))return M?w:x;if(M){if(S<0)return w;if(S>=g)return A}else{if(S<=-b)return R;if(S+1>=b)return E}return S<0?l(-S,M).neg():u(S%f|0,S/f|0,M)}a.fromNumber=l;function u(S,M,W){return new a(S,M,W)}a.fromBits=u;var p=Math.pow;function d(S,M,W){if(S.length===0)throw Error("empty string");if(S==="NaN"||S==="Infinity"||S==="+Infinity"||S==="-Infinity")return x;if(typeof M=="number"?(W=M,M=!1):M=!!M,W=W||10,W<2||360)throw Error("interior hyphen");if(U===0)return d(S.substring(1),M,W).neg();for(var G=l(p(W,8)),q=x,K=0;K>>0:this.low},F.toNumber=function(){return this.unsigned?(this.high>>>0)*f+(this.low>>>0):this.high*f+(this.low>>>0)},F.toString=function(S){if(S=S||10,S<2||36>>0,ee=Q.toString(S);if(q=Z,q.isZero())return ee+K;for(;ee.length<6;)ee="0"+ee;K=""+ee+K}},F.getHighBits=function(){return this.high},F.getHighBitsUnsigned=function(){return this.high>>>0},F.getLowBits=function(){return this.low},F.getLowBitsUnsigned=function(){return this.low>>>0},F.getNumBitsAbs=function(){if(this.isNegative())return this.eq(R)?64:this.neg().getNumBitsAbs();for(var S=this.high!=0?this.high:this.low,M=31;M>0&&(S&1<=0},F.isOdd=function(){return(this.low&1)===1},F.isEven=function(){return(this.low&1)===0},F.equals=function(S){return r(S)||(S=c(S)),this.unsigned!==S.unsigned&&this.high>>>31===1&&S.high>>>31===1?!1:this.high===S.high&&this.low===S.low},F.eq=F.equals,F.notEquals=function(S){return!this.eq(S)},F.neq=F.notEquals,F.ne=F.notEquals,F.lessThan=function(S){return this.comp(S)<0},F.lt=F.lessThan,F.lessThanOrEqual=function(S){return this.comp(S)<=0},F.lte=F.lessThanOrEqual,F.le=F.lessThanOrEqual,F.greaterThan=function(S){return this.comp(S)>0},F.gt=F.greaterThan,F.greaterThanOrEqual=function(S){return this.comp(S)>=0},F.gte=F.greaterThanOrEqual,F.ge=F.greaterThanOrEqual,F.compare=function(S){if(r(S)||(S=c(S)),this.eq(S))return 0;var M=this.isNegative(),W=S.isNegative();return M&&!W?-1:!M&&W?1:this.unsigned?S.high>>>0>this.high>>>0||S.high===this.high&&S.low>>>0>this.low>>>0?-1:1:this.sub(S).isNegative()?-1:1},F.comp=F.compare,F.negate=function(){return!this.unsigned&&this.eq(R)?R:this.not().add(I)},F.neg=F.negate,F.add=function(S){r(S)||(S=c(S));var M=this.high>>>16,W=this.high&65535,U=this.low>>>16,G=this.low&65535,q=S.high>>>16,K=S.high&65535,Z=S.low>>>16,Q=S.low&65535,ee=0,ae=0,te=0,le=0;return le+=G+Q,te+=le>>>16,le&=65535,te+=U+Z,ae+=te>>>16,te&=65535,ae+=W+K,ee+=ae>>>16,ae&=65535,ee+=M+q,ee&=65535,u(te<<16|le,ee<<16|ae,this.unsigned)},F.subtract=function(S){return r(S)||(S=c(S)),this.add(S.neg())},F.sub=F.subtract,F.multiply=function(S){if(this.isZero())return x;if(r(S)||(S=c(S)),n){var M=n.mul(this.low,this.high,S.low,S.high);return u(M,n.get_high(),this.unsigned)}if(S.isZero())return x;if(this.eq(R))return S.isOdd()?R:x;if(S.eq(R))return this.isOdd()?R:x;if(this.isNegative())return S.isNegative()?this.neg().mul(S.neg()):this.neg().mul(S).neg();if(S.isNegative())return this.mul(S.neg()).neg();if(this.lt(y)&&S.lt(y))return l(this.toNumber()*S.toNumber(),this.unsigned);var W=this.high>>>16,U=this.high&65535,G=this.low>>>16,q=this.low&65535,K=S.high>>>16,Z=S.high&65535,Q=S.low>>>16,ee=S.low&65535,ae=0,te=0,le=0,ie=0;return ie+=q*ee,le+=ie>>>16,ie&=65535,le+=G*ee,te+=le>>>16,le&=65535,le+=q*Q,te+=le>>>16,le&=65535,te+=U*ee,ae+=te>>>16,te&=65535,te+=G*Q,ae+=te>>>16,te&=65535,te+=q*Z,ae+=te>>>16,te&=65535,ae+=W*ee+U*Q+G*Z+q*K,ae&=65535,u(le<<16|ie,ae<<16|te,this.unsigned)},F.mul=F.multiply,F.divide=function(S){if(r(S)||(S=c(S)),S.isZero())throw Error("division by zero");if(n){if(!this.unsigned&&this.high===-2147483648&&S.low===-1&&S.high===-1)return this;var M=(this.unsigned?n.div_u:n.div_s)(this.low,this.high,S.low,S.high);return u(M,n.get_high(),this.unsigned)}if(this.isZero())return this.unsigned?w:x;var W,U,G;if(this.unsigned){if(S.unsigned||(S=S.toUnsigned()),S.gt(this))return w;if(S.gt(this.shru(1)))return T;G=w}else{if(this.eq(R)){if(S.eq(I)||S.eq(C))return R;if(S.eq(R))return I;var q=this.shr(1);return W=q.div(S).shl(1),W.eq(x)?S.isNegative()?I:C:(U=this.sub(S.mul(W)),G=W.add(U.div(S)),G)}else if(S.eq(R))return this.unsigned?w:x;if(this.isNegative())return S.isNegative()?this.neg().div(S.neg()):this.neg().div(S).neg();if(S.isNegative())return this.div(S.neg()).neg();G=x}for(U=this;U.gte(S);){W=Math.max(1,Math.floor(U.toNumber()/S.toNumber()));for(var K=Math.ceil(Math.log(W)/Math.LN2),Z=K<=48?1:p(2,K-48),Q=l(W),ee=Q.mul(S);ee.isNegative()||ee.gt(U);)W-=Z,Q=l(W,this.unsigned),ee=Q.mul(S);Q.isZero()&&(Q=I),G=G.add(Q),U=U.sub(ee)}return G},F.div=F.divide,F.modulo=function(S){if(r(S)||(S=c(S)),n){var M=(this.unsigned?n.rem_u:n.rem_s)(this.low,this.high,S.low,S.high);return u(M,n.get_high(),this.unsigned)}return this.sub(this.div(S).mul(S))},F.mod=F.modulo,F.rem=F.modulo,F.not=function(){return u(~this.low,~this.high,this.unsigned)},F.and=function(S){return r(S)||(S=c(S)),u(this.low&S.low,this.high&S.high,this.unsigned)},F.or=function(S){return r(S)||(S=c(S)),u(this.low|S.low,this.high|S.high,this.unsigned)},F.xor=function(S){return r(S)||(S=c(S)),u(this.low^S.low,this.high^S.high,this.unsigned)},F.shiftLeft=function(S){return r(S)&&(S=S.toInt()),(S&=63)===0?this:S<32?u(this.low<>>32-S,this.unsigned):u(0,this.low<>>S|this.high<<32-S,this.high>>S,this.unsigned):u(this.high>>S-32,this.high>=0?0:-1,this.unsigned)},F.shr=F.shiftRight,F.shiftRightUnsigned=function(S){if(r(S)&&(S=S.toInt()),S&=63,S===0)return this;var M=this.high;if(S<32){var W=this.low;return u(W>>>S|M<<32-S,M>>>S,this.unsigned)}else return S===32?u(M,0,this.unsigned):u(M>>>S-32,0,this.unsigned)},F.shru=F.shiftRightUnsigned,F.shr_u=F.shiftRightUnsigned,F.toSigned=function(){return this.unsigned?u(this.low,this.high,!1):this},F.toUnsigned=function(){return this.unsigned?this:u(this.low,this.high,!0)},F.toBytes=function(S){return S?this.toBytesLE():this.toBytesBE()},F.toBytesLE=function(){var S=this.high,M=this.low;return[M&255,M>>>8&255,M>>>16&255,M>>>24,S&255,S>>>8&255,S>>>16&255,S>>>24]},F.toBytesBE=function(){var S=this.high,M=this.low;return[S>>>24,S>>>16&255,S>>>8&255,S&255,M>>>24,M>>>16&255,M>>>8&255,M&255]},a.fromBytes=function(S,M,W){return W?a.fromBytesLE(S,M):a.fromBytesBE(S,M)},a.fromBytesLE=function(S,M){return new a(S[0]|S[1]<<8|S[2]<<16|S[3]<<24,S[4]|S[5]<<8|S[6]<<16|S[7]<<24,M)},a.fromBytesBE=function(S,M){return new a(S[4]<<24|S[5]<<16|S[6]<<8|S[7],S[0]<<24|S[1]<<16|S[2]<<8|S[3],M)}}),hF=Wt(()=>{}),mF=Wt(()=>{}),fF=Wt((e,t)=>{(function(n,a,r){function s(u){var p=this,d=l();p.next=function(){var c=2091639*p.s0+p.c*23283064365386963e-26;return p.s0=p.s1,p.s1=p.s2,p.s2=c-(p.c=c|0)},p.c=1,p.s0=d(" "),p.s1=d(" "),p.s2=d(" "),p.s0-=d(u),p.s0<0&&(p.s0+=1),p.s1-=d(u),p.s1<0&&(p.s1+=1),p.s2-=d(u),p.s2<0&&(p.s2+=1),d=null}function i(u,p){return p.c=u.c,p.s0=u.s0,p.s1=u.s1,p.s2=u.s2,p}function o(u,p){var d=new s(u),c=p&&p.state,h=d.next;return h.int32=function(){return d.next()*4294967296|0},h.double=function(){return h()+(h()*2097152|0)*11102230246251565e-32},h.quick=h,c&&(typeof c=="object"&&i(c,d),h.state=function(){return i(d,{})}),h}function l(){var u=4022871197,p=function(d){d=String(d);for(var c=0;c>>0,h-=u,h*=u,u=h>>>0,h-=u,u+=h*4294967296}return(u>>>0)*23283064365386963e-26};return p}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.alea=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),gF=Wt((e,t)=>{(function(n,a,r){function s(l){var u=this,p="";u.x=0,u.y=0,u.z=0,u.w=0,u.next=function(){var c=u.x^u.x<<11;return u.x=u.y,u.y=u.z,u.z=u.w,u.w^=u.w>>>19^c^c>>>8},l===(l|0)?u.x=l:p+=l;for(var d=0;d>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(typeof d=="object"&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xor128=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),bF=Wt((e,t)=>{(function(n,a,r){function s(l){var u=this,p="";u.next=function(){var c=u.x^u.x>>>2;return u.x=u.y,u.y=u.z,u.z=u.w,u.w=u.v,(u.d=u.d+362437|0)+(u.v=u.v^u.v<<4^(c^c<<1))|0},u.x=0,u.y=0,u.z=0,u.w=0,u.v=0,l===(l|0)?u.x=l:p+=l;for(var d=0;d>>4),u.next()}function i(l,u){return u.x=l.x,u.y=l.y,u.z=l.z,u.w=l.w,u.v=l.v,u.d=l.d,u}function o(l,u){var p=new s(l),d=u&&u.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(typeof d=="object"&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xorwow=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),yF=Wt((e,t)=>{(function(n,a,r){function s(l){var u=this;u.next=function(){var d=u.x,c=u.i,h,m,f;return h=d[c],h^=h>>>7,m=h^h<<24,h=d[c+1&7],m^=h^h>>>10,h=d[c+3&7],m^=h^h>>>3,h=d[c+4&7],m^=h^h<<7,h=d[c+7&7],h=h^h<<13,m^=h^h<<9,d[c]=m,u.i=c+1&7,m};function p(d,c){var h,m,f=[];if(c===(c|0))m=f[0]=c;else for(c=""+c,h=0;h0;--h)d.next()}p(u,l)}function i(l,u){return u.x=l.x.slice(),u.i=l.i,u}function o(l,u){l==null&&(l=+new Date);var p=new s(l),d=u&&u.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(d.x&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xorshift7=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),xF=Wt((e,t)=>{(function(n,a,r){function s(l){var u=this;u.next=function(){var d=u.w,c=u.X,h=u.i,m,f;return u.w=d=d+1640531527|0,f=c[h+34&127],m=c[h=h+1&127],f^=f<<13,m^=m<<17,f^=f>>>15,m^=m>>>12,f=c[h]=f^m,u.i=h,f+(d^d>>>16)|0};function p(d,c){var h,m,f,g,b,y=[],x=128;for(c===(c|0)?(m=c,c=null):(c=c+"\0",m=0,x=Math.max(x,c.length)),f=0,g=-32;g>>15,m^=m<<4,m^=m>>>13,g>=0&&(b=b+1640531527|0,h=y[g&127]^=m+b,f=h==0?f+1:0);for(f>=128&&(y[(c&&c.length||0)&127]=-1),f=127,g=4*128;g>0;--g)m=y[f+34&127],h=y[f=f+1&127],m^=m<<13,h^=h<<17,m^=m>>>15,h^=h>>>12,y[f]=m^h;d.w=b,d.X=y,d.i=f}p(u,l)}function i(l,u){return u.i=l.i,u.w=l.w,u.X=l.X.slice(),u}function o(l,u){l==null&&(l=+new Date);var p=new s(l),d=u&&u.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(d.X&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xor4096=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),vF=Wt((e,t)=>{(function(n,a,r){function s(l){var u=this,p="";u.next=function(){var c=u.b,h=u.c,m=u.d,f=u.a;return c=c<<25^c>>>7^h,h=h-m|0,m=m<<24^m>>>8^f,f=f-c|0,u.b=c=c<<20^c>>>12^h,u.c=h=h-m|0,u.d=m<<16^h>>>16^f,u.a=f-c|0},u.a=0,u.b=0,u.c=-1640531527,u.d=1367130551,l===Math.floor(l)?(u.a=l/4294967296|0,u.b=l|0):p+=l;for(var d=0;d>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(typeof d=="object"&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.tychei=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),wF=Wt(()=>{}),kF=Wt((e,t)=>{(function(n,a,r){var s=256,i=6,o=52,l="random",u=r.pow(s,i),p=r.pow(2,o),d=p*2,c=s-1,h;function m(I,T,C){var E=[];T=T==!0?{entropy:!0}:T||{};var A=y(b(T.entropy?[I,w(a)]:I==null?x():I,3),E),R=new f(E),F=function(){for(var S=R.g(i),M=u,W=0;S=d;)S/=2,M/=2,W>>>=1;return(S+W)/M};return F.int32=function(){return R.g(4)|0},F.quick=function(){return R.g(4)/4294967296},F.double=F,y(w(R.S),a),(T.pass||C||function(S,M,W,U){return U&&(U.S&&g(U,R),S.state=function(){return g(R,{})}),W?(r[l]=S,M):S})(F,A,"global"in T?T.global:this==r,T.state)}function f(I){var T,C=I.length,E=this,A=0,R=E.i=E.j=0,F=E.S=[];for(C||(I=[C++]);A{var n=fF(),a=gF(),r=bF(),s=yF(),i=xF(),o=vF(),l=kF();l.alea=n,l.xor128=a,l.xorwow=r,l.xorshift7=s,l.xor4096=i,l.tychei=o,t.exports=l}),RI=Wt(()=>{}),Tx=Wt(()=>{}),Ch=Wt(()=>{}),IF=Wt(()=>{}),SF=Wt(()=>{}),TF=Wt(()=>{}),NF=Wt((e,t)=>{var n=(()=>{var a=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(a=a||__filename),function(r){r=r||{};function s(){return ue.buffer!=ze&&ot(ue.buffer),dt}function i(){return ue.buffer!=ze&&ot(ue.buffer),jn}function o(){return ue.buffer!=ze&&ot(ue.buffer),Mt}function l(){return ue.buffer!=ze&&ot(ue.buffer),sn}function u(){return ue.buffer!=ze&&ot(ue.buffer),An}function p(){return ue.buffer!=ze&&ot(ue.buffer),ia}function d(){return ue.buffer!=ze&&ot(ue.buffer),$n}var c=typeof r!="undefined"?r:{},h,m;c.ready=new Promise(function(D,j){h=D,m=j});var f;typeof process!="undefined"&&process.listeners&&(f={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var g=Object.assign({},c),b=[],y="./this.program",x=(D,j)=>{throw j},w=typeof window=="object",I=typeof importScripts=="function",T=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",C=c.ENVIRONMENT_IS_PTHREAD||!1,E="";function A(D){return c.locateFile?c.locateFile(D,E):E+D}var R,F,S,M;function W(D){D instanceof Ms||Q("exiting due to exception: "+D)}if(T){I?E=Ch().dirname(E)+"/":E=__dirname+"/";var U,G;typeof DI=="function"&&(U=Tx(),G=Ch()),R=(j,re)=>(j=G.normalize(j),U.readFileSync(j,re?void 0:"utf8")),S=j=>{var re=R(j,!0);return re.buffer||(re=new Uint8Array(re)),re},F=(j,re,ce)=>{j=G.normalize(j),U.readFile(j,function(ke,He){ke?ce(ke):re(He.buffer)})},process.argv.length>1&&(y=process.argv[1].replace(/\\/g,"/")),b=process.argv.slice(2),process.on("uncaughtException",function(j){if(!(j instanceof Ms))throw j}),process.on("unhandledRejection",function(j){throw j}),x=(j,re)=>{if(ka())throw process.exitCode=j,re;W(re),process.exit(j)},c.inspect=function(){return"[Emscripten Module object]"};let D;try{D=IF()}catch(j){throw console.error('The "worker_threads" module is not supported in this node.js build - perhaps a newer version is needed?'),j}global.Worker=D.Worker}else(w||I)&&(I?E=self.location.href:typeof document!="undefined"&&document.currentScript&&(E=document.currentScript.src),typeof a!="undefined"&&a&&(E=a),E.indexOf("blob:")!==0?E=E.substr(0,E.replace(/[?#].*/,"").lastIndexOf("/")+1):E="",T||(R=D=>{var j=new XMLHttpRequest;return j.open("GET",D,!1),j.send(null),j.responseText},I&&(S=D=>{var j=new XMLHttpRequest;return j.open("GET",D,!1),j.responseType="arraybuffer",j.send(null),new Uint8Array(j.response)}),F=(D,j,re)=>{var ce=new XMLHttpRequest;ce.open("GET",D,!0),ce.responseType="arraybuffer",ce.onload=()=>{if(ce.status==200||ce.status==0&&ce.response){j(ce.response);return}re()},ce.onerror=re,ce.send(null)}),M=D=>document.title=D);T&&typeof performance=="undefined"&&(global.performance=SF().performance);var q=console.log.bind(console),K=console.warn.bind(console);T&&(q=D=>U.writeSync(1,D+` +"use strict";var faceapi=(()=>{var cy=Object.defineProperty;var uF=Object.getOwnPropertyDescriptor;var pF=Object.getOwnPropertyNames;var cF=Object.prototype.hasOwnProperty;var Xr=(e=>typeof require!="undefined"?require:typeof Proxy!="undefined"?new Proxy(e,{get:(t,n)=>(typeof require!="undefined"?require:t)[n]}):e)(function(e){if(typeof require!="undefined")return require.apply(this,arguments);throw new Error('Dynamic require of "'+e+'" is not supported')});var rh=(e,t)=>{for(var n in t)cy(e,n,{get:t[n],enumerable:!0})},dF=(e,t,n,a)=>{if(t&&typeof t=="object"||typeof t=="function")for(let r of pF(t))!cF.call(e,r)&&r!==n&&cy(e,r,{get:()=>t[r],enumerable:!(a=uF(t,r))||a.enumerable});return e};var hF=e=>dF(cy({},"__esModule",{value:!0}),e);var Bce={};rh(Bce,{AgeGenderNet:()=>wd,BoundingBox:()=>Co,Box:()=>st,ComposableTask:()=>ka,ComputeAllFaceDescriptorsTask:()=>Gr,ComputeFaceDescriptorsTaskBase:()=>Td,ComputeSingleFaceDescriptorTask:()=>Hr,DetectAllFaceLandmarksTask:()=>Cd,DetectAllFacesTask:()=>xp,DetectFaceLandmarksTaskBase:()=>Nd,DetectFacesTaskBase:()=>Ed,DetectSingleFaceLandmarksTask:()=>_d,DetectSingleFaceTask:()=>Ad,Dimensions:()=>bn,FACE_EXPRESSION_LABELS:()=>D1,FaceDetection:()=>bt,FaceDetectionNet:()=>W1,FaceExpressionNet:()=>vd,FaceExpressions:()=>Br,FaceLandmark68Net:()=>Po,FaceLandmark68TinyNet:()=>kd,FaceLandmarkNet:()=>O1,FaceLandmarks:()=>ra,FaceLandmarks5:()=>x1,FaceLandmarks68:()=>Eo,FaceMatch:()=>sp,FaceMatcher:()=>$d,FaceRecognitionNet:()=>Oo,Gender:()=>gg,LabeledBox:()=>ip,LabeledFaceDescriptors:()=>gr,NetInput:()=>yr,NeuralNetwork:()=>sn,ObjectDetection:()=>Lr,Point:()=>De,PredictedBox:()=>v1,Rect:()=>_o,SsdMobilenetv1:()=>As,SsdMobilenetv1Options:()=>wa,TinyFaceDetector:()=>Vo,TinyFaceDetectorOptions:()=>Sd,TinyYolov2:()=>Wo,TinyYolov2Options:()=>Qa,allFaces:()=>Lce,allFacesSsdMobilenetv1:()=>_$,allFacesTinyYolov2:()=>Oce,awaitMediaLoaded:()=>C1,bufferToImage:()=>_1,computeFaceDescriptor:()=>Ice,createCanvas:()=>Do,createCanvasFromMedia:()=>gd,createFaceDetectionNet:()=>gce,createFaceRecognitionNet:()=>sce,createSsdMobilenetv1:()=>h$,createTinyFaceDetector:()=>zce,createTinyYolov2:()=>xce,detectAllFaces:()=>Tg,detectFaceLandmarks:()=>N$,detectFaceLandmarksTiny:()=>kce,detectLandmarks:()=>Mce,detectSingleFace:()=>Pce,draw:()=>M1,env:()=>Je,euclideanDistance:()=>U1,extendWithAge:()=>vg,extendWithFaceDescriptor:()=>xg,extendWithFaceDetection:()=>Ao,extendWithFaceExpressions:()=>dg,extendWithFaceLandmarks:()=>fp,extendWithGender:()=>wg,extractFaceTensors:()=>up,extractFaces:()=>lp,fetchImage:()=>Hpe,fetchJson:()=>$1,fetchNetWeights:()=>jpe,fetchOrThrow:()=>Wr,fetchVideo:()=>qpe,getContext2dOrThrow:()=>Gn,getMediaDimensions:()=>Fo,imageTensorToCanvas:()=>E1,imageToSquare:()=>A1,inverseSigmoid:()=>Lpe,iou:()=>f1,isMediaElement:()=>rg,isMediaLoaded:()=>fd,isWithAge:()=>ice,isWithFaceDetection:()=>br,isWithFaceExpressions:()=>R1,isWithFaceLandmarks:()=>Mo,isWithGender:()=>oce,loadAgeGenderModel:()=>Fce,loadFaceDetectionModel:()=>Dce,loadFaceExpressionModel:()=>$ce,loadFaceLandmarkModel:()=>_ce,loadFaceLandmarkTinyModel:()=>Ece,loadFaceRecognitionModel:()=>Ace,loadSsdMobilenetv1Model:()=>C$,loadTinyFaceDetectorModel:()=>Nce,loadTinyYolov2Model:()=>Cce,loadWeightMap:()=>F1,locateFaces:()=>Rce,matchDimensions:()=>Kpe,minBbox:()=>g1,nets:()=>Qe,nonMaxSuppression:()=>b1,normalize:()=>Za,padToSquare:()=>y1,predictAgeAndGender:()=>Tce,recognizeFaceExpressions:()=>Sce,resizeResults:()=>E$,resolveInput:()=>$o,shuffleArray:()=>Ope,sigmoid:()=>dd,ssdMobilenetv1:()=>T$,tf:()=>Pe,tinyFaceDetector:()=>vce,tinyYolov2:()=>wce,toNetInput:()=>yt,utils:()=>m1,validateConfig:()=>B1,version:()=>Wce});var Pe={};rh(Pe,{Abs:()=>Dl,Acos:()=>Rl,Acosh:()=>Ml,AdadeltaOptimizer:()=>kf,AdagradOptimizer:()=>If,AdamOptimizer:()=>Sf,AdamaxOptimizer:()=>Tf,Add:()=>gs,AddN:()=>fi,All:()=>Pl,Any:()=>Ol,ArgMax:()=>gi,ArgMin:()=>cc,Asin:()=>Ll,Asinh:()=>zl,Atan:()=>Wl,Atan2:()=>Vl,Atanh:()=>Bl,AvgPool:()=>bi,AvgPool3D:()=>dc,AvgPool3DGrad:()=>cm,AvgPoolGrad:()=>pm,BackendWasm:()=>VA,BatchMatMul:()=>yi,BatchToSpaceND:()=>Ul,Bincount:()=>dm,BroadcastArgs:()=>hm,BroadcastTo:()=>eS,Callback:()=>y2,CallbackList:()=>kN,Cast:()=>xi,Ceil:()=>vi,ClipByValue:()=>bs,Complex:()=>mm,ComplexAbs:()=>hc,Concat:()=>Gl,Conv2D:()=>wi,Conv2DBackpropFilter:()=>fm,Conv2DBackpropInput:()=>ki,Conv3D:()=>mc,Conv3DBackpropFilterV2:()=>gm,Conv3DBackpropInputV2:()=>bm,Cos:()=>Ii,Cosh:()=>Si,CropAndResize:()=>jl,Cumprod:()=>Hl,Cumsum:()=>Ti,CustomCallback:()=>SN,DataStorage:()=>om,DenseBincount:()=>ym,DepthToSpace:()=>ql,DepthwiseConv2dNative:()=>Ni,DepthwiseConv2dNativeBackpropFilter:()=>xm,DepthwiseConv2dNativeBackpropInput:()=>vm,Diag:()=>wm,Dilation2D:()=>fc,Dilation2DBackpropFilter:()=>$h,Dilation2DBackpropInput:()=>Ah,ENV:()=>$x,EarlyStopping:()=>x2,Einsum:()=>km,Elu:()=>_i,EluGrad:()=>Im,Environment:()=>JI,Equal:()=>Xl,Erf:()=>Kl,Exp:()=>Ei,ExpandDims:()=>Yl,Expm1:()=>Zl,FFT:()=>Sm,Fill:()=>gc,FlipLeftRight:()=>Jl,Floor:()=>Ai,FloorDiv:()=>$i,FromPixels:()=>Fh,FusedBatchNorm:()=>Fi,FusedConv2D:()=>ei,FusedDepthwiseConv2D:()=>ti,GPGPUContext:()=>Th,GatherNd:()=>eu,GatherV2:()=>Ql,GraphModel:()=>A0,Greater:()=>tu,GreaterEqual:()=>Di,History:()=>IN,IFFT:()=>Tm,Identity:()=>Ri,Imag:()=>Nm,InputSpec:()=>zt,IsFinite:()=>nu,IsInf:()=>au,IsNan:()=>ru,KernelBackend:()=>pc,LRN:()=>bc,LRNGrad:()=>_m,LayerVariable:()=>fN,LayersModel:()=>Er,LeakyRelu:()=>Mi,Less:()=>su,LessEqual:()=>iu,LinSpace:()=>Cm,Log:()=>Pi,Log1p:()=>ou,LogSoftmax:()=>nS,LogicalAnd:()=>lu,LogicalNot:()=>uu,LogicalOr:()=>pu,LogicalXor:()=>tS,LowerBound:()=>aD,MathBackendWebGL:()=>Xf,Max:()=>Oi,MaxPool:()=>zi,MaxPool3D:()=>yc,MaxPool3DGrad:()=>Am,MaxPoolGrad:()=>Em,MaxPoolWithArgmax:()=>$m,Maximum:()=>Li,Mean:()=>Wi,Min:()=>Bi,Minimum:()=>Vi,MirrorPad:()=>Ui,Mod:()=>cu,MomentumOptimizer:()=>Nf,Multinomial:()=>Fm,Multiply:()=>Gi,Neg:()=>du,NonMaxSuppressionV3:()=>mu,NonMaxSuppressionV4:()=>fu,NonMaxSuppressionV5:()=>gu,NotEqual:()=>hu,OP_SCOPE_SUFFIX:()=>Mx,OneHot:()=>Hi,OnesLike:()=>bu,Optimizer:()=>Rr,OptimizerConstructors:()=>Yr,Pack:()=>yu,PadV2:()=>ji,Pool:()=>rD,Pow:()=>qi,Prelu:()=>Ki,Prod:()=>Xi,RMSPropOptimizer:()=>Cf,RNN:()=>mr,RaggedGather:()=>Dm,RaggedRange:()=>Rm,RaggedTensorToTensor:()=>Mm,Range:()=>xc,Rank:()=>Ey,Real:()=>Pm,RealDiv:()=>Ci,Reciprocal:()=>xu,Reduction:()=>vn,Relu:()=>Yi,Relu6:()=>Qi,Reshape:()=>vu,ResizeBilinear:()=>Ji,ResizeBilinearGrad:()=>Lm,ResizeNearestNeighbor:()=>Zi,ResizeNearestNeighborGrad:()=>Om,Reverse:()=>eo,RotateWithOffset:()=>Pu,Round:()=>to,Rsqrt:()=>no,SGDOptimizer:()=>qc,ScatterNd:()=>wu,SearchSorted:()=>zm,Select:()=>ku,Selu:()=>Iu,Sequential:()=>Tl,Sigmoid:()=>ro,Sign:()=>Nu,Sin:()=>ao,Sinh:()=>Tu,Slice:()=>Su,Softmax:()=>oo,Softplus:()=>Cu,SpaceToBatchND:()=>_u,SparseFillEmptyRows:()=>vc,SparseReshape:()=>Au,SparseSegmentMean:()=>wc,SparseSegmentSum:()=>kc,SparseToDense:()=>Wm,SplitV:()=>Eu,Sqrt:()=>so,Square:()=>Ic,SquaredDifference:()=>lo,Step:()=>xs,StridedSlice:()=>$u,StringNGrams:()=>Sc,StringSplit:()=>Tc,StringToHashBucketFast:()=>Nc,Sub:()=>uo,Sum:()=>io,SymbolicTensor:()=>Ba,Tan:()=>po,Tanh:()=>co,Tensor:()=>Te,TensorBuffer:()=>Ht,Tile:()=>ys,TopK:()=>Fu,Transform:()=>Du,Transpose:()=>_r,Unique:()=>Bm,Unpack:()=>Ru,UnsortedSegmentSum:()=>Cc,UpperBound:()=>sD,Variable:()=>is,ZerosLike:()=>Mu,_FusedMatMul:()=>Qs,abs:()=>Lt,acos:()=>Xx,acosh:()=>Yx,add:()=>Y,addN:()=>qS,all:()=>jm,any:()=>Qp,argMax:()=>ri,argMin:()=>Zx,asin:()=>Jx,asinh:()=>Qx,atan:()=>ev,atan2:()=>tv,atanh:()=>nv,avgPool:()=>ba,avgPool3d:()=>rv,backend:()=>ES,backend_util:()=>N,basicLSTMCell:()=>ZS,batchNorm:()=>ks,batchNorm2d:()=>sv,batchNorm3d:()=>iv,batchNorm4d:()=>ov,batchToSpaceND:()=>Pc,bincount:()=>lv,booleanMaskAsync:()=>DT,broadcastArgs:()=>JS,broadcastTo:()=>Xs,broadcast_util:()=>Ou,browser:()=>ho,buffer:()=>Oe,callbacks:()=>_H,cast:()=>oe,ceil:()=>uv,clipByValue:()=>en,clone:()=>ir,complex:()=>Ar,concat:()=>Ze,concat1d:()=>pv,concat2d:()=>cv,concat3d:()=>dv,concat4d:()=>hv,constraints:()=>yN,conv1d:()=>qm,conv2d:()=>$t,conv2dTranspose:()=>Km,conv3d:()=>fv,conv3dTranspose:()=>gv,copyRegisteredKernels:()=>uD,cos:()=>Oc,cosh:()=>Xm,cosineWindow:()=>bf,cumprod:()=>ec,cumsum:()=>Ym,customGrad:()=>ur,data:()=>U2,denseBincount:()=>zh,deprecationWarn:()=>Vx,depthToSpace:()=>bv,depthwiseConv2d:()=>Is,deregisterOp:()=>$H,device_util:()=>$c,diag:()=>eT,dilation2d:()=>yv,disableDeprecationWarnings:()=>OR,dispose:()=>_e,disposeVariables:()=>LR,div:()=>he,divNoNan:()=>xv,dot:()=>vv,dropout:()=>qv,einsum:()=>tT,elu:()=>Lu,enableDebugMode:()=>PR,enableProdMode:()=>MR,enclosingPowerOfTwo:()=>Kv,engine:()=>_a,env:()=>H,equal:()=>ea,erf:()=>wv,euclideanNorm:()=>Sv,exp:()=>fn,expandDims:()=>Zt,expm1:()=>Tv,eye:()=>Zm,fft:()=>Hc,fill:()=>gn,findBackend:()=>HR,findBackendFactory:()=>jR,floor:()=>Wu,floorDiv:()=>Hm,forceHalfFloat:()=>lE,fused:()=>kl,gather:()=>Bu,gatherND:()=>OT,gather_util:()=>Ux,getBackend:()=>UR,getGradient:()=>Cy,getKernel:()=>Dh,getKernelsForBackend:()=>Rh,getThreadsCount:()=>Spe,gpgpu_util:()=>W_,grad:()=>gO,grads:()=>bO,greater:()=>Cn,greaterEqual:()=>Fr,ifft:()=>wl,imag:()=>Dc,image:()=>za,inTopKAsync:()=>LT,initializers:()=>xN,input:()=>LN,io:()=>Ut,irfft:()=>hf,isFinite:()=>Nv,isInf:()=>Cv,isNaN:()=>_v,keep:()=>Jt,kernel_impls:()=>hr,layers:()=>vN,leakyRelu:()=>Lc,less:()=>Jm,lessEqual:()=>Ss,linalg:()=>Zv,linspace:()=>iT,loadGraphModel:()=>R6,loadGraphModelSync:()=>M6,loadLayersModel:()=>EU,localResponseNormalization:()=>Ev,log:()=>ta,log1p:()=>zc,logSigmoid:()=>Av,logSoftmax:()=>ef,logSumExp:()=>tf,logicalAnd:()=>$a,logicalNot:()=>Wc,logicalOr:()=>nf,logicalXor:()=>$v,losses:()=>YT,lowerBound:()=>lT,matMul:()=>Fe,math:()=>_S,max:()=>ma,maxPool:()=>Dt,maxPool3d:()=>Fv,maxPoolWithArgmax:()=>uT,maximum:()=>dr,mean:()=>Nt,memory:()=>Oh,meshgrid:()=>pT,metrics:()=>f2,min:()=>yl,minimum:()=>Vu,mirrorPad:()=>Dv,mod:()=>Rv,model:()=>FU,models:()=>g2,moments:()=>Bc,movingAverage:()=>RT,mul:()=>z,multiRNNCell:()=>cT,multinomial:()=>dT,neg:()=>vt,nextFrame:()=>Jv,norm:()=>zu,notEqual:()=>oi,oneHot:()=>gl,ones:()=>Jn,onesLike:()=>na,op:()=>L,outerProduct:()=>hT,pad:()=>ya,pad1d:()=>mT,pad2d:()=>fT,pad3d:()=>gT,pad4d:()=>bT,pool:()=>Mv,pow:()=>$r,prelu:()=>Uc,print:()=>zx,prod:()=>Pv,profile:()=>zR,raggedGather:()=>yT,raggedRange:()=>xT,raggedTensorToTensor:()=>vT,rand:()=>wT,randomGamma:()=>kT,randomNormal:()=>rf,randomStandardNormal:()=>IT,randomUniform:()=>Uu,range:()=>xl,ready:()=>VR,real:()=>bl,reciprocal:()=>zv,registerBackend:()=>Gm,registerCallbackConstructor:()=>RU,registerGradient:()=>aS,registerKernel:()=>_c,registerOp:()=>AH,regularizers:()=>b2,relu:()=>Xe,relu6:()=>sf,removeBackend:()=>GR,reshape:()=>W,reverse:()=>ga,reverse1d:()=>ST,reverse2d:()=>TT,reverse3d:()=>NT,reverse4d:()=>CT,rfft:()=>jc,round:()=>of,rsqrt:()=>lf,scalar:()=>ye,scatterND:()=>MT,scatter_util:()=>Gx,searchSorted:()=>af,selu:()=>uf,separableConv2d:()=>Ts,sequential:()=>DU,serialization:()=>ne,setBackend:()=>BR,setPlatform:()=>qR,setThreadsCount:()=>Ipe,setWasmPath:()=>wpe,setWasmPaths:()=>kpe,setWebGLContext:()=>p_,setdiff1dAsync:()=>_T,sigmoid:()=>ha,sign:()=>Wv,signal:()=>XT,sin:()=>pf,sinh:()=>cf,slice:()=>Be,slice1d:()=>Gc,slice2d:()=>df,slice3d:()=>fo,slice4d:()=>vl,slice_util:()=>jt,softmax:()=>Ka,softplus:()=>mo,spaceToBatchND:()=>Vc,sparse:()=>ZT,sparseToDense:()=>PT,spectral:()=>KT,split:()=>zn,sqrt:()=>un,square:()=>lt,squaredDifference:()=>mf,squeeze:()=>Ns,stack:()=>Ft,step:()=>go,stridedSlice:()=>Bv,string:()=>JT,sub:()=>pe,sum:()=>fe,sumOutType:()=>Um,tan:()=>Vv,tanh:()=>si,tensor:()=>In,tensor1d:()=>Ke,tensor2d:()=>Aa,tensor3d:()=>Rc,tensor4d:()=>Da,tensor5d:()=>ET,tensor6d:()=>AT,tensor_util:()=>Va,test_util:()=>GS,tidy:()=>P,tile:()=>Ln,time:()=>WR,topk:()=>Uv,train:()=>Ws,transpose:()=>Ee,truncatedNormal:()=>ff,unique:()=>Gv,unregisterGradient:()=>lD,unregisterKernel:()=>oD,unsortedSegmentSum:()=>gf,unstack:()=>ct,upcastType:()=>fa,upperBound:()=>$T,util:()=>v,valueAndGrad:()=>yO,valueAndGrads:()=>xO,variable:()=>Hv,variableGrads:()=>oT,version:()=>Mpe,version_converter:()=>O6,version_core:()=>TM,version_layers:()=>vw,version_wasm:()=>Tpe,version_webgl:()=>mJ,webgl:()=>fJ,webgl_util:()=>u_,where:()=>mn,whereAsync:()=>jv,zeros:()=>It,zerosLike:()=>qe});var mF=Object.create,Nx=Object.defineProperty,fF=Object.getOwnPropertyDescriptor,gF=Object.getOwnPropertyNames,bF=Object.getPrototypeOf,yF=Object.prototype.hasOwnProperty,WI=(e=>typeof Xr!="undefined"?Xr:typeof Proxy!="undefined"?new Proxy(e,{get:(t,n)=>(typeof Xr!="undefined"?Xr:t)[n]}):e)(function(e){if(typeof Xr!="undefined")return Xr.apply(this,arguments);throw new Error('Dynamic require of "'+e+'" is not supported')}),Bt=(e,t)=>()=>(t||e((t={exports:{}}).exports,t),t.exports),Ae=(e,t)=>{for(var n in t)Nx(e,n,{get:t[n],enumerable:!0})},xF=(e,t,n,a)=>{if(t&&typeof t=="object"||typeof t=="function")for(let r of gF(t))!yF.call(e,r)&&r!==n&&Nx(e,r,{get:()=>t[r],enumerable:!(a=fF(t,r))||a.enumerable});return e},ms=(e,t,n)=>(n=e!=null?mF(bF(e)):{},xF(t||!e||!e.__esModule?Nx(n,"default",{value:e,enumerable:!0}):n,e)),vF=Bt((e,t)=>{t.exports=a;var n=null;try{n=new WebAssembly.Instance(new WebAssembly.Module(new Uint8Array([0,97,115,109,1,0,0,0,1,13,2,96,0,1,127,96,4,127,127,127,127,1,127,3,7,6,0,1,1,1,1,1,6,6,1,127,1,65,0,11,7,50,6,3,109,117,108,0,1,5,100,105,118,95,115,0,2,5,100,105,118,95,117,0,3,5,114,101,109,95,115,0,4,5,114,101,109,95,117,0,5,8,103,101,116,95,104,105,103,104,0,0,10,191,1,6,4,0,35,0,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,126,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,127,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,128,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,129,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,130,34,4,66,32,135,167,36,0,32,4,167,11])),{}).exports}catch(S){}function a(S,M,B){this.low=S|0,this.high=M|0,this.unsigned=!!B}a.prototype.__isLong__,Object.defineProperty(a.prototype,"__isLong__",{value:!0});function r(S){return(S&&S.__isLong__)===!0}a.isLong=r;var s={},i={};function o(S,M){var B,U,G;return M?(S>>>=0,(G=0<=S&&S<256)&&(U=i[S],U)?U:(B=u(S,(S|0)<0?-1:0,!0),G&&(i[S]=B),B)):(S|=0,(G=-128<=S&&S<128)&&(U=s[S],U)?U:(B=u(S,S<0?-1:0,!1),G&&(s[S]=B),B))}a.fromInt=o;function l(S,M){if(isNaN(S))return M?w:x;if(M){if(S<0)return w;if(S>=g)return A}else{if(S<=-b)return R;if(S+1>=b)return E}return S<0?l(-S,M).neg():u(S%f|0,S/f|0,M)}a.fromNumber=l;function u(S,M,B){return new a(S,M,B)}a.fromBits=u;var p=Math.pow;function d(S,M,B){if(S.length===0)throw Error("empty string");if(S==="NaN"||S==="Infinity"||S==="+Infinity"||S==="-Infinity")return x;if(typeof M=="number"?(B=M,M=!1):M=!!M,B=B||10,B<2||360)throw Error("interior hyphen");if(U===0)return d(S.substring(1),M,B).neg();for(var G=l(p(B,8)),q=x,K=0;K>>0:this.low},F.toNumber=function(){return this.unsigned?(this.high>>>0)*f+(this.low>>>0):this.high*f+(this.low>>>0)},F.toString=function(S){if(S=S||10,S<2||36>>0,ee=Q.toString(S);if(q=Z,q.isZero())return ee+K;for(;ee.length<6;)ee="0"+ee;K=""+ee+K}},F.getHighBits=function(){return this.high},F.getHighBitsUnsigned=function(){return this.high>>>0},F.getLowBits=function(){return this.low},F.getLowBitsUnsigned=function(){return this.low>>>0},F.getNumBitsAbs=function(){if(this.isNegative())return this.eq(R)?64:this.neg().getNumBitsAbs();for(var S=this.high!=0?this.high:this.low,M=31;M>0&&(S&1<=0},F.isOdd=function(){return(this.low&1)===1},F.isEven=function(){return(this.low&1)===0},F.equals=function(S){return r(S)||(S=c(S)),this.unsigned!==S.unsigned&&this.high>>>31===1&&S.high>>>31===1?!1:this.high===S.high&&this.low===S.low},F.eq=F.equals,F.notEquals=function(S){return!this.eq(S)},F.neq=F.notEquals,F.ne=F.notEquals,F.lessThan=function(S){return this.comp(S)<0},F.lt=F.lessThan,F.lessThanOrEqual=function(S){return this.comp(S)<=0},F.lte=F.lessThanOrEqual,F.le=F.lessThanOrEqual,F.greaterThan=function(S){return this.comp(S)>0},F.gt=F.greaterThan,F.greaterThanOrEqual=function(S){return this.comp(S)>=0},F.gte=F.greaterThanOrEqual,F.ge=F.greaterThanOrEqual,F.compare=function(S){if(r(S)||(S=c(S)),this.eq(S))return 0;var M=this.isNegative(),B=S.isNegative();return M&&!B?-1:!M&&B?1:this.unsigned?S.high>>>0>this.high>>>0||S.high===this.high&&S.low>>>0>this.low>>>0?-1:1:this.sub(S).isNegative()?-1:1},F.comp=F.compare,F.negate=function(){return!this.unsigned&&this.eq(R)?R:this.not().add(I)},F.neg=F.negate,F.add=function(S){r(S)||(S=c(S));var M=this.high>>>16,B=this.high&65535,U=this.low>>>16,G=this.low&65535,q=S.high>>>16,K=S.high&65535,Z=S.low>>>16,Q=S.low&65535,ee=0,ae=0,te=0,le=0;return le+=G+Q,te+=le>>>16,le&=65535,te+=U+Z,ae+=te>>>16,te&=65535,ae+=B+K,ee+=ae>>>16,ae&=65535,ee+=M+q,ee&=65535,u(te<<16|le,ee<<16|ae,this.unsigned)},F.subtract=function(S){return r(S)||(S=c(S)),this.add(S.neg())},F.sub=F.subtract,F.multiply=function(S){if(this.isZero())return x;if(r(S)||(S=c(S)),n){var M=n.mul(this.low,this.high,S.low,S.high);return u(M,n.get_high(),this.unsigned)}if(S.isZero())return x;if(this.eq(R))return S.isOdd()?R:x;if(S.eq(R))return this.isOdd()?R:x;if(this.isNegative())return S.isNegative()?this.neg().mul(S.neg()):this.neg().mul(S).neg();if(S.isNegative())return this.mul(S.neg()).neg();if(this.lt(y)&&S.lt(y))return l(this.toNumber()*S.toNumber(),this.unsigned);var B=this.high>>>16,U=this.high&65535,G=this.low>>>16,q=this.low&65535,K=S.high>>>16,Z=S.high&65535,Q=S.low>>>16,ee=S.low&65535,ae=0,te=0,le=0,ie=0;return ie+=q*ee,le+=ie>>>16,ie&=65535,le+=G*ee,te+=le>>>16,le&=65535,le+=q*Q,te+=le>>>16,le&=65535,te+=U*ee,ae+=te>>>16,te&=65535,te+=G*Q,ae+=te>>>16,te&=65535,te+=q*Z,ae+=te>>>16,te&=65535,ae+=B*ee+U*Q+G*Z+q*K,ae&=65535,u(le<<16|ie,ae<<16|te,this.unsigned)},F.mul=F.multiply,F.divide=function(S){if(r(S)||(S=c(S)),S.isZero())throw Error("division by zero");if(n){if(!this.unsigned&&this.high===-2147483648&&S.low===-1&&S.high===-1)return this;var M=(this.unsigned?n.div_u:n.div_s)(this.low,this.high,S.low,S.high);return u(M,n.get_high(),this.unsigned)}if(this.isZero())return this.unsigned?w:x;var B,U,G;if(this.unsigned){if(S.unsigned||(S=S.toUnsigned()),S.gt(this))return w;if(S.gt(this.shru(1)))return T;G=w}else{if(this.eq(R)){if(S.eq(I)||S.eq(C))return R;if(S.eq(R))return I;var q=this.shr(1);return B=q.div(S).shl(1),B.eq(x)?S.isNegative()?I:C:(U=this.sub(S.mul(B)),G=B.add(U.div(S)),G)}else if(S.eq(R))return this.unsigned?w:x;if(this.isNegative())return S.isNegative()?this.neg().div(S.neg()):this.neg().div(S).neg();if(S.isNegative())return this.div(S.neg()).neg();G=x}for(U=this;U.gte(S);){B=Math.max(1,Math.floor(U.toNumber()/S.toNumber()));for(var K=Math.ceil(Math.log(B)/Math.LN2),Z=K<=48?1:p(2,K-48),Q=l(B),ee=Q.mul(S);ee.isNegative()||ee.gt(U);)B-=Z,Q=l(B,this.unsigned),ee=Q.mul(S);Q.isZero()&&(Q=I),G=G.add(Q),U=U.sub(ee)}return G},F.div=F.divide,F.modulo=function(S){if(r(S)||(S=c(S)),n){var M=(this.unsigned?n.rem_u:n.rem_s)(this.low,this.high,S.low,S.high);return u(M,n.get_high(),this.unsigned)}return this.sub(this.div(S).mul(S))},F.mod=F.modulo,F.rem=F.modulo,F.not=function(){return u(~this.low,~this.high,this.unsigned)},F.and=function(S){return r(S)||(S=c(S)),u(this.low&S.low,this.high&S.high,this.unsigned)},F.or=function(S){return r(S)||(S=c(S)),u(this.low|S.low,this.high|S.high,this.unsigned)},F.xor=function(S){return r(S)||(S=c(S)),u(this.low^S.low,this.high^S.high,this.unsigned)},F.shiftLeft=function(S){return r(S)&&(S=S.toInt()),(S&=63)===0?this:S<32?u(this.low<>>32-S,this.unsigned):u(0,this.low<>>S|this.high<<32-S,this.high>>S,this.unsigned):u(this.high>>S-32,this.high>=0?0:-1,this.unsigned)},F.shr=F.shiftRight,F.shiftRightUnsigned=function(S){if(r(S)&&(S=S.toInt()),S&=63,S===0)return this;var M=this.high;if(S<32){var B=this.low;return u(B>>>S|M<<32-S,M>>>S,this.unsigned)}else return S===32?u(M,0,this.unsigned):u(M>>>S-32,0,this.unsigned)},F.shru=F.shiftRightUnsigned,F.shr_u=F.shiftRightUnsigned,F.toSigned=function(){return this.unsigned?u(this.low,this.high,!1):this},F.toUnsigned=function(){return this.unsigned?this:u(this.low,this.high,!0)},F.toBytes=function(S){return S?this.toBytesLE():this.toBytesBE()},F.toBytesLE=function(){var S=this.high,M=this.low;return[M&255,M>>>8&255,M>>>16&255,M>>>24,S&255,S>>>8&255,S>>>16&255,S>>>24]},F.toBytesBE=function(){var S=this.high,M=this.low;return[S>>>24,S>>>16&255,S>>>8&255,S&255,M>>>24,M>>>16&255,M>>>8&255,M&255]},a.fromBytes=function(S,M,B){return B?a.fromBytesLE(S,M):a.fromBytesBE(S,M)},a.fromBytesLE=function(S,M){return new a(S[0]|S[1]<<8|S[2]<<16|S[3]<<24,S[4]|S[5]<<8|S[6]<<16|S[7]<<24,M)},a.fromBytesBE=function(S,M){return new a(S[4]<<24|S[5]<<16|S[6]<<8|S[7],S[0]<<24|S[1]<<16|S[2]<<8|S[3],M)}}),wF=Bt(()=>{}),kF=Bt(()=>{}),IF=Bt((e,t)=>{(function(n,a,r){function s(u){var p=this,d=l();p.next=function(){var c=2091639*p.s0+p.c*23283064365386963e-26;return p.s0=p.s1,p.s1=p.s2,p.s2=c-(p.c=c|0)},p.c=1,p.s0=d(" "),p.s1=d(" "),p.s2=d(" "),p.s0-=d(u),p.s0<0&&(p.s0+=1),p.s1-=d(u),p.s1<0&&(p.s1+=1),p.s2-=d(u),p.s2<0&&(p.s2+=1),d=null}function i(u,p){return p.c=u.c,p.s0=u.s0,p.s1=u.s1,p.s2=u.s2,p}function o(u,p){var d=new s(u),c=p&&p.state,h=d.next;return h.int32=function(){return d.next()*4294967296|0},h.double=function(){return h()+(h()*2097152|0)*11102230246251565e-32},h.quick=h,c&&(typeof c=="object"&&i(c,d),h.state=function(){return i(d,{})}),h}function l(){var u=4022871197,p=function(d){d=String(d);for(var c=0;c>>0,h-=u,h*=u,u=h>>>0,h-=u,u+=h*4294967296}return(u>>>0)*23283064365386963e-26};return p}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.alea=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),SF=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this,p="";u.x=0,u.y=0,u.z=0,u.w=0,u.next=function(){var c=u.x^u.x<<11;return u.x=u.y,u.y=u.z,u.z=u.w,u.w^=u.w>>>19^c^c>>>8},l===(l|0)?u.x=l:p+=l;for(var d=0;d>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(typeof d=="object"&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xor128=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),TF=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this,p="";u.next=function(){var c=u.x^u.x>>>2;return u.x=u.y,u.y=u.z,u.z=u.w,u.w=u.v,(u.d=u.d+362437|0)+(u.v=u.v^u.v<<4^(c^c<<1))|0},u.x=0,u.y=0,u.z=0,u.w=0,u.v=0,l===(l|0)?u.x=l:p+=l;for(var d=0;d>>4),u.next()}function i(l,u){return u.x=l.x,u.y=l.y,u.z=l.z,u.w=l.w,u.v=l.v,u.d=l.d,u}function o(l,u){var p=new s(l),d=u&&u.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(typeof d=="object"&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xorwow=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),NF=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this;u.next=function(){var d=u.x,c=u.i,h,m,f;return h=d[c],h^=h>>>7,m=h^h<<24,h=d[c+1&7],m^=h^h>>>10,h=d[c+3&7],m^=h^h>>>3,h=d[c+4&7],m^=h^h<<7,h=d[c+7&7],h=h^h<<13,m^=h^h<<9,d[c]=m,u.i=c+1&7,m};function p(d,c){var h,m,f=[];if(c===(c|0))m=f[0]=c;else for(c=""+c,h=0;h0;--h)d.next()}p(u,l)}function i(l,u){return u.x=l.x.slice(),u.i=l.i,u}function o(l,u){l==null&&(l=+new Date);var p=new s(l),d=u&&u.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(d.x&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xorshift7=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),CF=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this;u.next=function(){var d=u.w,c=u.X,h=u.i,m,f;return u.w=d=d+1640531527|0,f=c[h+34&127],m=c[h=h+1&127],f^=f<<13,m^=m<<17,f^=f>>>15,m^=m>>>12,f=c[h]=f^m,u.i=h,f+(d^d>>>16)|0};function p(d,c){var h,m,f,g,b,y=[],x=128;for(c===(c|0)?(m=c,c=null):(c=c+"\0",m=0,x=Math.max(x,c.length)),f=0,g=-32;g>>15,m^=m<<4,m^=m>>>13,g>=0&&(b=b+1640531527|0,h=y[g&127]^=m+b,f=h==0?f+1:0);for(f>=128&&(y[(c&&c.length||0)&127]=-1),f=127,g=4*128;g>0;--g)m=y[f+34&127],h=y[f=f+1&127],m^=m<<13,h^=h<<17,m^=m>>>15,h^=h>>>12,y[f]=m^h;d.w=b,d.X=y,d.i=f}p(u,l)}function i(l,u){return u.i=l.i,u.w=l.w,u.X=l.X.slice(),u}function o(l,u){l==null&&(l=+new Date);var p=new s(l),d=u&&u.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(d.X&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xor4096=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),_F=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this,p="";u.next=function(){var c=u.b,h=u.c,m=u.d,f=u.a;return c=c<<25^c>>>7^h,h=h-m|0,m=m<<24^m>>>8^f,f=f-c|0,u.b=c=c<<20^c>>>12^h,u.c=h=h-m|0,u.d=m<<16^h>>>16^f,u.a=f-c|0},u.a=0,u.b=0,u.c=-1640531527,u.d=1367130551,l===Math.floor(l)?(u.a=l/4294967296|0,u.b=l|0):p+=l;for(var d=0;d>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(typeof d=="object"&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.tychei=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),EF=Bt(()=>{}),AF=Bt((e,t)=>{(function(n,a,r){var s=256,i=6,o=52,l="random",u=r.pow(s,i),p=r.pow(2,o),d=p*2,c=s-1,h;function m(I,T,C){var E=[];T=T==!0?{entropy:!0}:T||{};var A=y(b(T.entropy?[I,w(a)]:I==null?x():I,3),E),R=new f(E),F=function(){for(var S=R.g(i),M=u,B=0;S=d;)S/=2,M/=2,B>>>=1;return(S+B)/M};return F.int32=function(){return R.g(4)|0},F.quick=function(){return R.g(4)/4294967296},F.double=F,y(w(R.S),a),(T.pass||C||function(S,M,B,U){return U&&(U.S&&g(U,R),S.state=function(){return g(R,{})}),B?(r[l]=S,M):S})(F,A,"global"in T?T.global:this==r,T.state)}function f(I){var T,C=I.length,E=this,A=0,R=E.i=E.j=0,F=E.S=[];for(C||(I=[C++]);A{var n=IF(),a=SF(),r=TF(),s=NF(),i=CF(),o=_F(),l=AF();l.alea=n,l.xor128=a,l.xorwow=r,l.xorshift7=s,l.xor4096=i,l.tychei=o,t.exports=l}),BI=Bt(()=>{}),Cx=Bt(()=>{}),Ch=Bt(()=>{}),$F=Bt(()=>{}),FF=Bt(()=>{}),DF=Bt(()=>{}),RF=Bt((e,t)=>{var n=(()=>{var a=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(a=a||__filename),function(r){r=r||{};function s(){return ue.buffer!=ze&&ot(ue.buffer),dt}function i(){return ue.buffer!=ze&&ot(ue.buffer),jn}function o(){return ue.buffer!=ze&&ot(ue.buffer),Mt}function l(){return ue.buffer!=ze&&ot(ue.buffer),on}function u(){return ue.buffer!=ze&&ot(ue.buffer),Fn}function p(){return ue.buffer!=ze&&ot(ue.buffer),oa}function d(){return ue.buffer!=ze&&ot(ue.buffer),Dn}var c=typeof r!="undefined"?r:{},h,m;c.ready=new Promise(function(D,j){h=D,m=j});var f;typeof process!="undefined"&&process.listeners&&(f={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var g=Object.assign({},c),b=[],y="./this.program",x=(D,j)=>{throw j},w=typeof window=="object",I=typeof importScripts=="function",T=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",C=c.ENVIRONMENT_IS_PTHREAD||!1,E="";function A(D){return c.locateFile?c.locateFile(D,E):E+D}var R,F,S,M;function B(D){D instanceof Ms||Q("exiting due to exception: "+D)}if(T){I?E=Ch().dirname(E)+"/":E=__dirname+"/";var U,G;typeof WI=="function"&&(U=Cx(),G=Ch()),R=(j,re)=>(j=G.normalize(j),U.readFileSync(j,re?void 0:"utf8")),S=j=>{var re=R(j,!0);return re.buffer||(re=new Uint8Array(re)),re},F=(j,re,ce)=>{j=G.normalize(j),U.readFile(j,function(ke,je){ke?ce(ke):re(je.buffer)})},process.argv.length>1&&(y=process.argv[1].replace(/\\/g,"/")),b=process.argv.slice(2),process.on("uncaughtException",function(j){if(!(j instanceof Ms))throw j}),process.on("unhandledRejection",function(j){throw j}),x=(j,re)=>{if(Ia())throw process.exitCode=j,re;B(re),process.exit(j)},c.inspect=function(){return"[Emscripten Module object]"};let D;try{D=$F()}catch(j){throw console.error('The "worker_threads" module is not supported in this node.js build - perhaps a newer version is needed?'),j}global.Worker=D.Worker}else(w||I)&&(I?E=self.location.href:typeof document!="undefined"&&document.currentScript&&(E=document.currentScript.src),typeof a!="undefined"&&a&&(E=a),E.indexOf("blob:")!==0?E=E.substr(0,E.replace(/[?#].*/,"").lastIndexOf("/")+1):E="",T||(R=D=>{var j=new XMLHttpRequest;return j.open("GET",D,!1),j.send(null),j.responseText},I&&(S=D=>{var j=new XMLHttpRequest;return j.open("GET",D,!1),j.responseType="arraybuffer",j.send(null),new Uint8Array(j.response)}),F=(D,j,re)=>{var ce=new XMLHttpRequest;ce.open("GET",D,!0),ce.responseType="arraybuffer",ce.onload=()=>{if(ce.status==200||ce.status==0&&ce.response){j(ce.response);return}re()},ce.onerror=re,ce.send(null)}),M=D=>document.title=D);T&&typeof performance=="undefined"&&(global.performance=FF().performance);var q=console.log.bind(console),K=console.warn.bind(console);T&&(q=D=>U.writeSync(1,D+` `),K=D=>U.writeSync(2,D+` -`));var Z=c.print||q,Q=c.printErr||K;Object.assign(c,g),g=null,c.arguments&&(b=c.arguments),c.thisProgram&&(y=c.thisProgram),c.quit&&(x=c.quit);var ee=4,ae=Atomics.load,te=Atomics.store,le=Atomics.compareExchange,ie;c.wasmBinary&&(ie=c.wasmBinary);var be=c.noExitRuntime||!0;typeof WebAssembly!="object"&&Xo("no native wasm support detected");var ue,xe,Ie=!1,Se;function Le(D,j){D||Xo(j)}var Ve=typeof TextDecoder!="undefined"?new TextDecoder("utf8"):void 0;function tt(D,j,re){for(var ce=j+re,ke=j;D[ke]&&!(ke>=ce);)++ke;if(ke-j>16&&D.buffer&&Ve)return Ve.decode(D.buffer instanceof SharedArrayBuffer?D.slice(j,ke):D.subarray(j,ke));for(var He="";j>10,56320|la&1023)}}return He}function it(D,j){return D?tt(i(),D,j):""}function et(D,j,re,ce){if(!(ce>0))return 0;for(var ke=re,He=re+ce-1,Ne=0;Ne=55296&&De<=57343){var Ot=D.charCodeAt(++Ne);De=65536+((De&1023)<<10)|Ot&1023}if(De<=127){if(re>=He)break;j[re++]=De}else if(De<=2047){if(re+1>=He)break;j[re++]=192|De>>6,j[re++]=128|De&63}else if(De<=65535){if(re+2>=He)break;j[re++]=224|De>>12,j[re++]=128|De>>6&63,j[re++]=128|De&63}else{if(re+3>=He)break;j[re++]=240|De>>18,j[re++]=128|De>>12&63,j[re++]=128|De>>6&63,j[re++]=128|De&63}}return j[re]=0,re-ke}function nt(D,j,re){return et(D,i(),j,re)}var ze,dt,jn,Mt,sa,sn,An,ia,$n;C&&(ze=c.buffer);function ot(D){ze=D,c.HEAP8=dt=new Int8Array(D),c.HEAP16=Mt=new Int16Array(D),c.HEAP32=sn=new Int32Array(D),c.HEAPU8=jn=new Uint8Array(D),c.HEAPU16=sa=new Uint16Array(D),c.HEAPU32=An=new Uint32Array(D),c.HEAPF32=ia=new Float32Array(D),c.HEAPF64=$n=new Float64Array(D)}var Fn=c.INITIAL_MEMORY||16777216;if(C)ue=c.wasmMemory,ze=c.buffer;else if(c.wasmMemory)ue=c.wasmMemory;else if(ue=new WebAssembly.Memory({initial:Fn/65536,maximum:32768,shared:!0}),!(ue.buffer instanceof SharedArrayBuffer))throw Q("requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag"),T&&console.log("(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and also use a recent version)"),Error("bad memory");ue&&(ze=ue.buffer),Fn=ze.byteLength,ot(ze);var qn,yr=[],jo=[],Ja=[],yp=!1;function ka(){return be}function qo(){if(c.preRun)for(typeof c.preRun=="function"&&(c.preRun=[c.preRun]);c.preRun.length;)Sg(c.preRun.shift());kp(yr)}function Xt(){yp=!0,!C&&kp(jo)}function $d(){if(!C){if(c.postRun)for(typeof c.postRun=="function"&&(c.postRun=[c.postRun]);c.postRun.length;)B1(c.postRun.shift());kp(Ja)}}function Sg(D){yr.unshift(D)}function Tg(D){jo.unshift(D)}function B1(D){Ja.unshift(D)}var Hr=0,Ko=null,xr=null;function W1(D){Hr++,c.monitorRunDependencies&&c.monitorRunDependencies(Hr)}function V1(D){if(Hr--,c.monitorRunDependencies&&c.monitorRunDependencies(Hr),Hr==0&&(Ko!==null&&(clearInterval(Ko),Ko=null),xr)){var j=xr;xr=null,j()}}function Xo(D){C?postMessage({cmd:"onAbort",arg:D}):c.onAbort&&c.onAbort(D),D="Aborted("+D+")",Q(D),Ie=!0,Se=1,D+=". Build with -sASSERTIONS for more info.";var j=new WebAssembly.RuntimeError(D);throw m(j),j}var Ng="data:application/octet-stream;base64,";function Fd(D){return D.startsWith(Ng)}function xp(D){return D.startsWith("file://")}var yn;yn="tfjs-backend-wasm-threaded-simd.wasm",Fd(yn)||(yn=A(yn));function Dd(D){try{if(D==yn&&ie)return new Uint8Array(ie);if(S)return S(D);throw"both async and sync fetching of the wasm failed"}catch(j){Xo(j)}}function Cg(){if(!ie&&(w||I)){if(typeof fetch=="function"&&!xp(yn))return fetch(yn,{credentials:"same-origin"}).then(function(D){if(!D.ok)throw"failed to load wasm binary file at '"+yn+"'";return D.arrayBuffer()}).catch(function(){return Dd(yn)});if(F)return new Promise(function(D,j){F(yn,function(re){D(new Uint8Array(re))},j)})}return Promise.resolve().then(function(){return Dd(yn)})}function _g(){var D={env:Hd,wasi_snapshot_preview1:Hd};function j(Ne,De){var Ot=Ne.exports;if(c.asm=Ot,Lg(c.asm._emscripten_tls_init),qn=c.asm.__indirect_function_table,Tg(c.asm.__wasm_call_ctors),xe=De,!C){var la=Ee.unusedWorkers.length;Ee.unusedWorkers.forEach(function(wr){Ee.loadWasmModuleToWorker(wr,function(){--la||V1("wasm-instantiate")})})}}C||W1("wasm-instantiate");function re(Ne){j(Ne.instance,Ne.module)}function ce(Ne){return Cg().then(function(De){return WebAssembly.instantiate(De,D)}).then(function(De){return De}).then(Ne,function(De){Q("failed to asynchronously prepare wasm: "+De),Xo(De)})}function ke(){return!ie&&typeof WebAssembly.instantiateStreaming=="function"&&!Fd(yn)&&!xp(yn)&&!T&&typeof fetch=="function"?fetch(yn,{credentials:"same-origin"}).then(function(Ne){var De=WebAssembly.instantiateStreaming(Ne,D);return De.then(re,function(Ot){return Q("wasm streaming compile failed: "+Ot),Q("falling back to ArrayBuffer instantiation"),ce(re)})}):ce(re)}if(c.instantiateWasm)try{var He=c.instantiateWasm(D,j);return He}catch(Ne){Q("Module.instantiateWasm callback failed with error: "+Ne),m(Ne)}return ke().catch(m),{}}var Eg,U1,Ag={};function Ms(D){this.name="ExitStatus",this.message="Program terminated with exit("+D+")",this.status=D}function $g(D){var j=Ee.pthreads[D];delete Ee.pthreads[D],j.terminate(),iy(D),Ee.runningWorkers.splice(Ee.runningWorkers.indexOf(j),1),j.pthread_ptr=0}function Fg(D){var j=Ee.pthreads[D];j.postMessage({cmd:"cancel"})}function vp(D){var j=Ee.pthreads[D];Le(j),Ee.returnWorkerToPool(j)}function Rd(D){var j=Ee.getNewWorker();if(!j)return 6;Ee.runningWorkers.push(j),Ee.pthreads[D.pthread_ptr]=j,j.pthread_ptr=D.pthread_ptr;var re={cmd:"run",start_routine:D.startRoutine,arg:D.arg,pthread_ptr:D.pthread_ptr};return j.runPthread=()=>{re.time=performance.now(),j.postMessage(re,D.transferList)},j.loaded&&(j.runPthread(),delete j.runPthread),0}var Md={varargs:void 0,get:function(){Md.varargs+=4;var D=l()[Md.varargs-4>>2];return D},getStr:function(D){var j=it(D);return j}};function wp(D){if(C)return jr(1,1,D);Se=D,ka()||(Ee.terminateAllThreads(),c.onExit&&c.onExit(D),Ie=!0),x(D,new Ms(D))}function G1(D,j){if(Se=D,!j&&C)throw Od(D),"unwind";wp(D)}var Pd=G1;function Dg(D){if(D instanceof Ms||D=="unwind")return Se;x(1,D)}var Ee={unusedWorkers:[],runningWorkers:[],tlsInitFunctions:[],pthreads:{},init:function(){C?Ee.initWorker():Ee.initMainThread()},initMainThread:function(){for(var D=8;D--;)Ee.allocateUnusedWorker()},initWorker:function(){be=!1},setExitStatus:function(D){Se=D},terminateAllThreads:function(){for(var D of Object.values(Ee.pthreads))Ee.returnWorkerToPool(D);for(var D of Ee.unusedWorkers)D.terminate();Ee.unusedWorkers=[]},returnWorkerToPool:function(D){var j=D.pthread_ptr;delete Ee.pthreads[j],Ee.unusedWorkers.push(D),Ee.runningWorkers.splice(Ee.runningWorkers.indexOf(D),1),D.pthread_ptr=0,iy(j)},receiveObjectTransfer:function(D){},threadInitTLS:function(){Ee.tlsInitFunctions.forEach(D=>D())},loadWasmModuleToWorker:function(D,j){D.onmessage=re=>{var ce=re.data,ke=ce.cmd;if(D.pthread_ptr&&(Ee.currentProxiedOperationCallerThread=D.pthread_ptr),ce.targetThread&&ce.targetThread!=Zd()){var He=Ee.pthreads[ce.targetThread];He?He.postMessage(ce,ce.transferList):Q('Internal error! Worker sent a message "'+ke+'" to target pthread '+ce.targetThread+", but that thread no longer exists!"),Ee.currentProxiedOperationCallerThread=void 0;return}ke==="processProxyingQueue"?Ip(ce.queue):ke==="spawnThread"?Rd(ce):ke==="cleanupThread"?vp(ce.thread):ke==="killThread"?$g(ce.thread):ke==="cancelThread"?Fg(ce.thread):ke==="loaded"?(D.loaded=!0,j&&j(D),D.runPthread&&(D.runPthread(),delete D.runPthread)):ke==="print"?Z("Thread "+ce.threadId+": "+ce.text):ke==="printErr"?Q("Thread "+ce.threadId+": "+ce.text):ke==="alert"?alert("Thread "+ce.threadId+": "+ce.text):ce.target==="setimmediate"?D.postMessage(ce):ke==="onAbort"?c.onAbort&&c.onAbort(ce.arg):ke&&Q("worker sent an unknown command "+ke),Ee.currentProxiedOperationCallerThread=void 0},D.onerror=re=>{var ce="worker sent an error!";throw Q(ce+" "+re.filename+":"+re.lineno+": "+re.message),re},T&&(D.on("message",function(re){D.onmessage({data:re})}),D.on("error",function(re){D.onerror(re)}),D.on("detachedExit",function(){})),D.postMessage({cmd:"load",urlOrBlob:c.mainScriptUrlOrBlob||a,wasmMemory:ue,wasmModule:xe})},allocateUnusedWorker:function(){var D=A("tfjs-backend-wasm-threaded-simd.worker.js");Ee.unusedWorkers.push(new Worker(D))},getNewWorker:function(){return Ee.unusedWorkers.length==0&&(Ee.allocateUnusedWorker(),Ee.loadWasmModuleToWorker(Ee.unusedWorkers[0])),Ee.unusedWorkers.pop()}};c.PThread=Ee;function kp(D){for(;D.length>0;)D.shift()(c)}function Rg(D){var j=oy(),re=D();return Jd(j),re}function H1(D){return D}function j1(D){var j=/\b_Z[\w\d_]+/g;return D.replace(j,function(re){var ce=re;return re===ce?re:ce+" ["+re+"]"})}function Mg(){var D=Zd(),j=l()[D+44>>2],re=l()[D+48>>2],ce=j-re;Q1(j,ce),Jd(j)}c.establishStackSpace=Mg;function Od(D){if(C)return jr(2,0,D);try{Pd(D)}catch(j){Dg(j)}}var Yo=[];function Pg(D){var j=Yo[D];return j||(D>=Yo.length&&(Yo.length=D+1),Yo[D]=j=qn.get(D)),j}function Og(D,j){var re=Pg(D)(j);ka()?Ee.setExitStatus(re):J1(re)}c.invokeEntryPoint=Og;function q1(){var D=new Error;if(!D.stack){try{throw new Error}catch(j){D=j}if(!D.stack)return"(no stack trace available)"}return D.stack.toString()}function Lg(D){Ee.tlsInitFunctions.push(D)}function zg(D,j){s().set(D,j)}function Bg(D){X1(D,!I,1,!w),Ee.threadInitTLS()}function Wg(D){C?postMessage({cmd:"cleanupThread",thread:D}):vp(D)}function Ld(D,j,re,ce){return C?jr(3,1,D,j,re,ce):zd(D,j,re,ce)}function zd(D,j,re,ce){if(typeof SharedArrayBuffer=="undefined")return Q("Current environment does not support SharedArrayBuffer, pthreads are not available!"),6;var ke=[],He=0;if(C&&(ke.length===0||He))return Ld(D,j,re,ce);if(He)return He;var Ne={startRoutine:re,pthread_ptr:D,arg:ce,transferList:ke};return C?(Ne.cmd="spawnThread",postMessage(Ne,ke),0):Rd(Ne)}function Vg(){return 2097152}var Ug=!0;function Gg(){return Ug}function Ip(D){Atomics.store(l(),D>>2,1),Zd()&&Z1(D),Atomics.compareExchange(l(),D>>2,1,0)}c.executeNotifiedProxyingQueue=Ip;function Hg(D,j,re,ce){if(D==j)setTimeout(()=>Ip(ce));else if(C)postMessage({targetThread:D,cmd:"processProxyingQueue",queue:ce});else{var ke=Ee.pthreads[D];if(!ke)return;ke.postMessage({cmd:"processProxyingQueue",queue:ce})}return 1}function jg(D,j,re){return-1}function qg(){Xo("")}function Ps(D){Ps.shown||(Ps.shown={}),Ps.shown[D]||(Ps.shown[D]=1,T&&(D="warning: "+D),Q(D))}function Kg(){T||I||Ps("Blocking on the main thread is very dangerous, see https://emscripten.org/docs/porting/pthreads.html#blocking-on-the-main-browser-thread")}function Xg(){return Date.now()}function Bd(){return 2147483648}function Yg(){return Bd()}var Zo;T?Zo=()=>{var D=process.hrtime();return D[0]*1e3+D[1]/1e6}:C?Zo=()=>performance.now()-c.__performance_now_clock_drift:Zo=()=>performance.now();function Zg(D,j,re){i().copyWithin(D,j,j+re)}function Jg(){return T?TF().cpus().length:navigator.hardwareConcurrency}function jr(D,j){var re=arguments.length-2,ce=arguments;return Rg(()=>{for(var ke=re,He=Qd(ke*8),Ne=He>>3,De=0;De>3,ke=0;ke>>16),ot(ue.buffer),1}catch(j){}}function tb(D){var j=i().length;if(D=D>>>0,D<=j)return!1;var re=Bd();if(D>re)return!1;let ce=(Ot,la)=>Ot+(la-Ot%la)%la;for(var ke=1;ke<=4;ke*=2){var He=j*(1+.2/ke);He=Math.min(He,D+100663296);var Ne=Math.min(re,ce(Math.max(D,He),65536)),De=eb(Ne);if(De)return!0}return!1}function nb(){throw"unwind"}function Wd(D){return C?jr(4,1,D):52}function Vd(D,j,re,ce,ke){return C?jr(5,1,D,j,re,ce,ke):70}var ab=[null,[],[]];function rb(D,j){var re=ab[D];j===0||j===10?((D===1?Z:Q)(tt(re,0)),re.length=0):re.push(j)}function Ud(D,j,re,ce){if(C)return jr(6,1,D,j,re,ce);for(var ke=0,He=0;He>2],De=u()[j+4>>2];j+=8;for(var Ot=0;Ot>2]=ke,0}function Gd(D){var j=c["_"+D];return j}function sb(D,j,re,ce,ke){var He={string:ua=>{var tl=0;if(ua!=null&&ua!==0){var nk=(ua.length<<2)+1;tl=Qd(nk),nt(ua,tl,nk)}return tl},array:ua=>{var tl=Qd(ua.length);return zg(ua,tl),tl}};function Ne(ua){return j==="string"?it(ua):j==="boolean"?Boolean(ua):ua}var De=Gd(D),Ot=[],la=0;if(ce)for(var wr=0;wrNe==="number"||Ne==="boolean"),He=j!=="string";return He&&ke&&!ce?Gd(D):function(){return sb(D,j,re,arguments,ce)}}Ee.init();var ob=[null,wp,Od,Ld,Wd,Vd,Ud],Hd={__emscripten_init_main_thread_js:Bg,__emscripten_thread_cleanup:Wg,__pthread_create_js:zd,_emscripten_default_pthread_stack_size:Vg,_emscripten_get_now_is_monotonic:Gg,_emscripten_notify_task_queue:Hg,_emscripten_set_offscreencanvas_size:jg,abort:qg,emscripten_check_blocking_allowed:Kg,emscripten_date_now:Xg,emscripten_get_heap_max:Yg,emscripten_get_now:Zo,emscripten_memcpy_big:Zg,emscripten_num_logical_cores:Jg,emscripten_receive_on_main_thread_js:Qg,emscripten_resize_heap:tb,emscripten_unwind_to_js_event_loop:nb,exit:Pd,fd_close:Wd,fd_seek:Vd,fd_write:Ud,memory:ue||c.wasmMemory},K1=_g(),lb=c.___wasm_call_ctors=function(){return(lb=c.___wasm_call_ctors=c.asm.__wasm_call_ctors).apply(null,arguments)},ub=c._init=function(){return(ub=c._init=c.asm.init).apply(null,arguments)},pb=c._init_with_threads_count=function(){return(pb=c._init_with_threads_count=c.asm.init_with_threads_count).apply(null,arguments)},cb=c._get_threads_count=function(){return(cb=c._get_threads_count=c.asm.get_threads_count).apply(null,arguments)},db=c._register_tensor=function(){return(db=c._register_tensor=c.asm.register_tensor).apply(null,arguments)},hb=c._dispose_data=function(){return(hb=c._dispose_data=c.asm.dispose_data).apply(null,arguments)},mb=c._dispose=function(){return(mb=c._dispose=c.asm.dispose).apply(null,arguments)},fb=c._Abs=function(){return(fb=c._Abs=c.asm.Abs).apply(null,arguments)},gb=c._Add=function(){return(gb=c._Add=c.asm.Add).apply(null,arguments)},bb=c._AddN=function(){return(bb=c._AddN=c.asm.AddN).apply(null,arguments)},yb=c._All=function(){return(yb=c._All=c.asm.All).apply(null,arguments)},xb=c._Any=function(){return(xb=c._Any=c.asm.Any).apply(null,arguments)},vb=c._ArgMax=function(){return(vb=c._ArgMax=c.asm.ArgMax).apply(null,arguments)},wb=c._AvgPool=function(){return(wb=c._AvgPool=c.asm.AvgPool).apply(null,arguments)},kb=c._BatchMatMul=function(){return(kb=c._BatchMatMul=c.asm.BatchMatMul).apply(null,arguments)},Ib=c._Ceil=function(){return(Ib=c._Ceil=c.asm.Ceil).apply(null,arguments)},Sb=c._ClipByValue=function(){return(Sb=c._ClipByValue=c.asm.ClipByValue).apply(null,arguments)},Tb=c._Conv2D=function(){return(Tb=c._Conv2D=c.asm.Conv2D).apply(null,arguments)},Nb=c._Conv2DBackpropInput=function(){return(Nb=c._Conv2DBackpropInput=c.asm.Conv2DBackpropInput).apply(null,arguments)},Cb=c._Cos=function(){return(Cb=c._Cos=c.asm.Cos).apply(null,arguments)},_b=c._Cosh=function(){return(_b=c._Cosh=c.asm.Cosh).apply(null,arguments)},Eb=c._CropAndResize=function(){return(Eb=c._CropAndResize=c.asm.CropAndResize).apply(null,arguments)},Ab=c._Cumprod=function(){return(Ab=c._Cumprod=c.asm.Cumprod).apply(null,arguments)},$b=c._Cumsum=function(){return($b=c._Cumsum=c.asm.Cumsum).apply(null,arguments)},Fb=c._DepthToSpace=function(){return(Fb=c._DepthToSpace=c.asm.DepthToSpace).apply(null,arguments)},Db=c._DepthwiseConv2dNative=function(){return(Db=c._DepthwiseConv2dNative=c.asm.DepthwiseConv2dNative).apply(null,arguments)},Rb=c._Elu=function(){return(Rb=c._Elu=c.asm.Elu).apply(null,arguments)},Mb=c._Equal=function(){return(Mb=c._Equal=c.asm.Equal).apply(null,arguments)},Pb=c._Exp=function(){return(Pb=c._Exp=c.asm.Exp).apply(null,arguments)},Ob=c._FlipLeftRight=function(){return(Ob=c._FlipLeftRight=c.asm.FlipLeftRight).apply(null,arguments)},Lb=c._Floor=function(){return(Lb=c._Floor=c.asm.Floor).apply(null,arguments)},zb=c._FloorDiv=function(){return(zb=c._FloorDiv=c.asm.FloorDiv).apply(null,arguments)},Bb=c._FusedBatchNorm=function(){return(Bb=c._FusedBatchNorm=c.asm.FusedBatchNorm).apply(null,arguments)},Wb=c._FusedConv2D=function(){return(Wb=c._FusedConv2D=c.asm.FusedConv2D).apply(null,arguments)},Vb=c._FusedDepthwiseConv2D=function(){return(Vb=c._FusedDepthwiseConv2D=c.asm.FusedDepthwiseConv2D).apply(null,arguments)},Ub=c._Gather=function(){return(Ub=c._Gather=c.asm.Gather).apply(null,arguments)},Gb=c._GatherNd=function(){return(Gb=c._GatherNd=c.asm.GatherNd).apply(null,arguments)},Hb=c._Greater=function(){return(Hb=c._Greater=c.asm.Greater).apply(null,arguments)},jb=c._GreaterEqual=function(){return(jb=c._GreaterEqual=c.asm.GreaterEqual).apply(null,arguments)},qb=c._LeakyRelu=function(){return(qb=c._LeakyRelu=c.asm.LeakyRelu).apply(null,arguments)},Kb=c._Less=function(){return(Kb=c._Less=c.asm.Less).apply(null,arguments)},Xb=c._LessEqual=function(){return(Xb=c._LessEqual=c.asm.LessEqual).apply(null,arguments)},Yb=c._Log=function(){return(Yb=c._Log=c.asm.Log).apply(null,arguments)},Zb=c._LogicalAnd=function(){return(Zb=c._LogicalAnd=c.asm.LogicalAnd).apply(null,arguments)},Jb=c._LogicalNot=function(){return(Jb=c._LogicalNot=c.asm.LogicalNot).apply(null,arguments)},Qb=c._LogicalOr=function(){return(Qb=c._LogicalOr=c.asm.LogicalOr).apply(null,arguments)},ey=c._LogicalXor=function(){return(ey=c._LogicalXor=c.asm.LogicalXor).apply(null,arguments)},ty=c._Max=function(){return(ty=c._Max=c.asm.Max).apply(null,arguments)},jd=c._MaxPool=function(){return(jd=c._MaxPool=c.asm.MaxPool).apply(null,arguments)},qd=c._Maximum=function(){return(qd=c._Maximum=c.asm.Maximum).apply(null,arguments)},Tp=c._Mean=function(){return(Tp=c._Mean=c.asm.Mean).apply(null,arguments)},ny=c._Min=function(){return(ny=c._Min=c.asm.Min).apply(null,arguments)},ay=c._Minimum=function(){return(ay=c._Minimum=c.asm.Minimum).apply(null,arguments)},Jo=c._MirrorPad=function(){return(Jo=c._MirrorPad=c.asm.MirrorPad).apply(null,arguments)},Kd=c._Multiply=function(){return(Kd=c._Multiply=c.asm.Multiply).apply(null,arguments)},Qo=c._Neg=function(){return(Qo=c._Neg=c.asm.Neg).apply(null,arguments)},el=c._NonMaxSuppressionV3=function(){return(el=c._NonMaxSuppressionV3=c.asm.NonMaxSuppressionV3).apply(null,arguments)},ry=c._NonMaxSuppressionV4=function(){return(ry=c._NonMaxSuppressionV4=c.asm.NonMaxSuppressionV4).apply(null,arguments)},X=c._NonMaxSuppressionV5=function(){return(X=c._NonMaxSuppressionV5=c.asm.NonMaxSuppressionV5).apply(null,arguments)},se=c._NotEqual=function(){return(se=c._NotEqual=c.asm.NotEqual).apply(null,arguments)},we=c._OneHot=function(){return(we=c._OneHot=c.asm.OneHot).apply(null,arguments)},Ge=c._PadV2=function(){return(Ge=c._PadV2=c.asm.PadV2).apply(null,arguments)},wt=c._Pow=function(){return(wt=c._Pow=c.asm.Pow).apply(null,arguments)},kt=c._Prelu=function(){return(kt=c._Prelu=c.asm.Prelu).apply(null,arguments)},Ue=c._Prod=function(){return(Ue=c._Prod=c.asm.Prod).apply(null,arguments)},Be=c._RealDiv=function(){return(Be=c._RealDiv=c.asm.RealDiv).apply(null,arguments)},Pt=c._Relu=function(){return(Pt=c._Relu=c.asm.Relu).apply(null,arguments)},oa=c._Relu6=function(){return(oa=c._Relu6=c.asm.Relu6).apply(null,arguments)},vr=c._ResizeBilinear=function(){return(vr=c._ResizeBilinear=c.asm.ResizeBilinear).apply(null,arguments)},Xd=c._ResizeNearestNeighbor=function(){return(Xd=c._ResizeNearestNeighbor=c.asm.ResizeNearestNeighbor).apply(null,arguments)},Np=c._Reverse=function(){return(Np=c._Reverse=c.asm.Reverse).apply(null,arguments)},sy=c._RotateWithOffset=function(){return(sy=c._RotateWithOffset=c.asm.RotateWithOffset).apply(null,arguments)},Dn=c._Round=function(){return(Dn=c._Round=c.asm.Round).apply(null,arguments)},qr=c._Rsqrt=function(){return(qr=c._Rsqrt=c.asm.Rsqrt).apply(null,arguments)},Yd=c._ScatterNd=function(){return(Yd=c._ScatterNd=c.asm.ScatterNd).apply(null,arguments)},k$=c._SelectV2=function(){return(k$=c._SelectV2=c.asm.SelectV2).apply(null,arguments)},I$=c._Sigmoid=function(){return(I$=c._Sigmoid=c.asm.Sigmoid).apply(null,arguments)},S$=c._Sin=function(){return(S$=c._Sin=c.asm.Sin).apply(null,arguments)},T$=c._Softmax=function(){return(T$=c._Softmax=c.asm.Softmax).apply(null,arguments)},N$=c._SparseFillEmptyRows=function(){return(N$=c._SparseFillEmptyRows=c.asm.SparseFillEmptyRows).apply(null,arguments)},C$=c._SparseReshape=function(){return(C$=c._SparseReshape=c.asm.SparseReshape).apply(null,arguments)},_$=c._SparseSegmentReduction=function(){return(_$=c._SparseSegmentReduction=c.asm.SparseSegmentReduction).apply(null,arguments)},E$=c._Sqrt=function(){return(E$=c._Sqrt=c.asm.Sqrt).apply(null,arguments)},A$=c._Square=function(){return(A$=c._Square=c.asm.Square).apply(null,arguments)},$$=c._SquaredDifference=function(){return($$=c._SquaredDifference=c.asm.SquaredDifference).apply(null,arguments)},F$=c._Step=function(){return(F$=c._Step=c.asm.Step).apply(null,arguments)},D$=c._StridedSlice=function(){return(D$=c._StridedSlice=c.asm.StridedSlice).apply(null,arguments)},R$=c._Sub=function(){return(R$=c._Sub=c.asm.Sub).apply(null,arguments)},M$=c._Sum=function(){return(M$=c._Sum=c.asm.Sum).apply(null,arguments)},P$=c._Tan=function(){return(P$=c._Tan=c.asm.Tan).apply(null,arguments)},O$=c._Tanh=function(){return(O$=c._Tanh=c.asm.Tanh).apply(null,arguments)},L$=c._Tile=function(){return(L$=c._Tile=c.asm.Tile).apply(null,arguments)},z$=c._TopK=function(){return(z$=c._TopK=c.asm.TopK).apply(null,arguments)},B$=c._Transform=function(){return(B$=c._Transform=c.asm.Transform).apply(null,arguments)},W$=c._Transpose=function(){return(W$=c._Transpose=c.asm.Transpose).apply(null,arguments)},V$=c.__FusedMatMul=function(){return(V$=c.__FusedMatMul=c.asm._FusedMatMul).apply(null,arguments)},U$=c._malloc=function(){return(U$=c._malloc=c.asm.malloc).apply(null,arguments)},G$=c._free=function(){return(G$=c._free=c.asm.free).apply(null,arguments)},H$=c.__emscripten_tls_init=function(){return(H$=c.__emscripten_tls_init=c.asm._emscripten_tls_init).apply(null,arguments)},Zd=c._pthread_self=function(){return(Zd=c._pthread_self=c.asm.pthread_self).apply(null,arguments)},j$=c.___errno_location=function(){return(j$=c.___errno_location=c.asm.__errno_location).apply(null,arguments)},X1=c.__emscripten_thread_init=function(){return(X1=c.__emscripten_thread_init=c.asm._emscripten_thread_init).apply(null,arguments)},q$=c.__emscripten_thread_crashed=function(){return(q$=c.__emscripten_thread_crashed=c.asm._emscripten_thread_crashed).apply(null,arguments)},K$=c._emscripten_main_thread_process_queued_calls=function(){return(K$=c._emscripten_main_thread_process_queued_calls=c.asm.emscripten_main_thread_process_queued_calls).apply(null,arguments)},X$=c._emscripten_main_browser_thread_id=function(){return(X$=c._emscripten_main_browser_thread_id=c.asm.emscripten_main_browser_thread_id).apply(null,arguments)},Y1=c._emscripten_run_in_main_runtime_thread_js=function(){return(Y1=c._emscripten_run_in_main_runtime_thread_js=c.asm.emscripten_run_in_main_runtime_thread_js).apply(null,arguments)},Y$=c._emscripten_dispatch_to_thread_=function(){return(Y$=c._emscripten_dispatch_to_thread_=c.asm.emscripten_dispatch_to_thread_).apply(null,arguments)},Z1=c.__emscripten_proxy_execute_task_queue=function(){return(Z1=c.__emscripten_proxy_execute_task_queue=c.asm._emscripten_proxy_execute_task_queue).apply(null,arguments)},iy=c.__emscripten_thread_free_data=function(){return(iy=c.__emscripten_thread_free_data=c.asm._emscripten_thread_free_data).apply(null,arguments)},J1=c.__emscripten_thread_exit=function(){return(J1=c.__emscripten_thread_exit=c.asm._emscripten_thread_exit).apply(null,arguments)},Q1=c._emscripten_stack_set_limits=function(){return(Q1=c._emscripten_stack_set_limits=c.asm.emscripten_stack_set_limits).apply(null,arguments)},oy=c.stackSave=function(){return(oy=c.stackSave=c.asm.stackSave).apply(null,arguments)},Jd=c.stackRestore=function(){return(Jd=c.stackRestore=c.asm.stackRestore).apply(null,arguments)},Qd=c.stackAlloc=function(){return(Qd=c.stackAlloc=c.asm.stackAlloc).apply(null,arguments)},Z$=c.dynCall_iijjiiii=function(){return(Z$=c.dynCall_iijjiiii=c.asm.dynCall_iijjiiii).apply(null,arguments)},J$=c.dynCall_jiji=function(){return(J$=c.dynCall_jiji=c.asm.dynCall_jiji).apply(null,arguments)};c.keepRuntimeAlive=ka,c.wasmMemory=ue,c.cwrap=ib,c.ExitStatus=Ms,c.PThread=Ee;var eh;xr=function D(){eh||ek(),eh||(xr=D)};function ek(D){if(D=D||b,Hr>0)return;if(C){h(c),Xt(),postMessage({cmd:"loaded"});return}if(qo(),Hr>0)return;function j(){eh||(eh=!0,c.calledRun=!0,!Ie&&(Xt(),h(c),c.onRuntimeInitialized&&c.onRuntimeInitialized(),$d()))}c.setStatus?(c.setStatus("Running..."),setTimeout(function(){setTimeout(function(){c.setStatus("")},1),j()},1)):j()}if(c.preInit)for(typeof c.preInit=="function"&&(c.preInit=[c.preInit]);c.preInit.length>0;)c.preInit.pop()();ek();var th;f&&(th={uncaughtException:process.listeners("uncaughtException").filter(function(D){return!f.uncaughtException.indexOf(D)>-1}),unhandledRejection:process.listeners("unhandledRejection").filter(function(D){return!f.unhandledRejection.indexOf(D)>-1})});var nh;if(typeof WasmBackendModule!="undefined")nh=WasmBackendModule;else if(typeof r!="undefined")nh=r;else throw new Error("Could not find wasm module in post.js");if(th){var Q$=nh._dispose;nh._dispose=function(){Q$(),th.uncaughtException.forEach(function(D){process.removeListener("uncaughtException",D)}),th.unhandledRejection.forEach(function(D){process.removeListener("unhandledRejection",D)})}}return r.ready}})();typeof e=="object"&&typeof t=="object"?t.exports=n:typeof define=="function"&&define.amd?define([],function(){return n}):typeof e=="object"&&(e.WasmBackendModuleThreadedSimd=n)}),CF=Wt((e,t)=>{t.exports.wasmWorkerContents=`"use strict";var Module={};var ENVIRONMENT_IS_NODE=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string";if(ENVIRONMENT_IS_NODE){var nodeWorkerThreads=require("worker_threads");var parentPort=nodeWorkerThreads.parentPort;parentPort.on("message",data=>onmessage({data:data}));var fs=require("fs");Object.assign(global,{self:global,require:require,Module:Module,location:{href:__filename},Worker:nodeWorkerThreads.Worker,importScripts:function(f){(0,eval)(fs.readFileSync(f,"utf8"))},postMessage:function(msg){parentPort.postMessage(msg)},performance:global.performance||{now:function(){return Date.now()}}})}var initializedJS=false;var pendingNotifiedProxyingQueues=[];function threadPrintErr(){var text=Array.prototype.slice.call(arguments).join(" ");if(ENVIRONMENT_IS_NODE){fs.writeSync(2,text+" -");return}console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(" ");postMessage({cmd:"alert",text:text,threadId:Module["_pthread_self"]()})}var err=threadPrintErr;self.alert=threadAlert;Module["instantiateWasm"]=(info,receiveInstance)=>{var instance=new WebAssembly.Instance(Module["wasmModule"],info);receiveInstance(instance);Module["wasmModule"]=null;return instance.exports};self.onunhandledrejection=e=>{throw e.reason??e};self.onmessage=e=>{try{if(e.data.cmd==="load"){Module["wasmModule"]=e.data.wasmModule;Module["wasmMemory"]=e.data.wasmMemory;Module["buffer"]=Module["wasmMemory"].buffer;Module["ENVIRONMENT_IS_PTHREAD"]=true;if(typeof e.data.urlOrBlob=="string"){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}WasmBackendModuleThreadedSimd(Module).then(function(instance){Module=instance})}else if(e.data.cmd==="run"){Module["__performance_now_clock_drift"]=performance.now()-e.data.time;Module["__emscripten_thread_init"](e.data.pthread_ptr,0,0,1);Module["establishStackSpace"]();Module["PThread"].receiveObjectTransfer(e.data);Module["PThread"].threadInitTLS();if(!initializedJS){pendingNotifiedProxyingQueues.forEach(queue=>{Module["executeNotifiedProxyingQueue"](queue)});pendingNotifiedProxyingQueues=[];initializedJS=true}try{Module["invokeEntryPoint"](e.data.start_routine,e.data.arg)}catch(ex){if(ex!="unwind"){if(ex instanceof Module["ExitStatus"]){if(Module["keepRuntimeAlive"]()){}else{Module["__emscripten_thread_exit"](ex.status)}}else{throw ex}}}}else if(e.data.cmd==="cancel"){if(Module["_pthread_self"]()){Module["__emscripten_thread_exit"](-1)}}else if(e.data.target==="setimmediate"){}else if(e.data.cmd==="processProxyingQueue"){if(initializedJS){Module["executeNotifiedProxyingQueue"](e.data.queue)}else{pendingNotifiedProxyingQueues.push(e.data.queue)}}else if(e.data.cmd){err("worker.js received unknown command "+e.data.cmd);err(e.data)}}catch(ex){if(Module["__emscripten_thread_crashed"]){Module["__emscripten_thread_crashed"]()}throw ex}};`}),_F=Wt((e,t)=>{var n=(()=>{var a=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(a=a||__filename),function(r){r=r||{};var s=typeof r!="undefined"?r:{},i,o;s.ready=new Promise(function(X,se){i=X,o=se});var l;typeof process!="undefined"&&process.listeners&&(l={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var u=Object.assign({},s),p=[],d="./this.program",c=(X,se)=>{throw se},h=typeof window=="object",m=typeof importScripts=="function",f=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",g="";function b(X){return s.locateFile?s.locateFile(X,g):g+X}var y,x,w,I;function T(X){X instanceof Ko||R("exiting due to exception: "+X)}if(f){m?g=Ch().dirname(g)+"/":g=__dirname+"/";var C,E;typeof DI=="function"&&(C=Tx(),E=Ch()),y=(X,se)=>(X=E.normalize(X),C.readFileSync(X,se?void 0:"utf8")),w=X=>{var se=y(X,!0);return se.buffer||(se=new Uint8Array(se)),se},x=(X,se,we)=>{X=E.normalize(X),C.readFile(X,function(Ge,wt){Ge?we(Ge):se(wt.buffer)})},process.argv.length>1&&(d=process.argv[1].replace(/\\/g,"/")),p=process.argv.slice(2),process.on("uncaughtException",function(X){if(!(X instanceof Ko))throw X}),process.on("unhandledRejection",function(X){throw X}),c=(X,se)=>{if(jn())throw process.exitCode=X,se;T(se),process.exit(X)},s.inspect=function(){return"[Emscripten Module object]"}}else(h||m)&&(m?g=self.location.href:typeof document!="undefined"&&document.currentScript&&(g=document.currentScript.src),a&&(g=a),g.indexOf("blob:")!==0?g=g.substr(0,g.replace(/[?#].*/,"").lastIndexOf("/")+1):g="",y=X=>{var se=new XMLHttpRequest;return se.open("GET",X,!1),se.send(null),se.responseText},m&&(w=X=>{var se=new XMLHttpRequest;return se.open("GET",X,!1),se.responseType="arraybuffer",se.send(null),new Uint8Array(se.response)}),x=(X,se,we)=>{var Ge=new XMLHttpRequest;Ge.open("GET",X,!0),Ge.responseType="arraybuffer",Ge.onload=()=>{if(Ge.status==200||Ge.status==0&&Ge.response){se(Ge.response);return}we()},Ge.onerror=we,Ge.send(null)},I=X=>document.title=X);var A=s.print||console.log.bind(console),R=s.printErr||console.warn.bind(console);Object.assign(s,u),u=null,s.arguments&&(p=s.arguments),s.thisProgram&&(d=s.thisProgram),s.quit&&(c=s.quit);var F=4,S;s.wasmBinary&&(S=s.wasmBinary);var M=s.noExitRuntime||!0;typeof WebAssembly!="object"&&Ja("no native wasm support detected");var W,U=!1,G;function q(X,se){X||Ja(se)}var K=typeof TextDecoder!="undefined"?new TextDecoder("utf8"):void 0;function Z(X,se,we){for(var Ge=se+we,wt=se;X[wt]&&!(wt>=Ge);)++wt;if(wt-se>16&&X.buffer&&K)return K.decode(X.subarray(se,wt));for(var kt="";se>10,56320|oa&1023)}}return kt}function Q(X,se){return X?Z(ie,X,se):""}function ee(X,se,we,Ge){if(!(Ge>0))return 0;for(var wt=we,kt=we+Ge-1,Ue=0;Ue=55296&&Be<=57343){var Pt=X.charCodeAt(++Ue);Be=65536+((Be&1023)<<10)|Pt&1023}if(Be<=127){if(we>=kt)break;se[we++]=Be}else if(Be<=2047){if(we+1>=kt)break;se[we++]=192|Be>>6,se[we++]=128|Be&63}else if(Be<=65535){if(we+2>=kt)break;se[we++]=224|Be>>12,se[we++]=128|Be>>6&63,se[we++]=128|Be&63}else{if(we+3>=kt)break;se[we++]=240|Be>>18,se[we++]=128|Be>>12&63,se[we++]=128|Be>>6&63,se[we++]=128|Be&63}}return se[we]=0,we-wt}function ae(X,se,we){return ee(X,ie,se,we)}var te,le,ie,be,ue,xe,Ie,Se,Le;function Ve(X){te=X,s.HEAP8=le=new Int8Array(X),s.HEAP16=be=new Int16Array(X),s.HEAP32=xe=new Int32Array(X),s.HEAPU8=ie=new Uint8Array(X),s.HEAPU16=ue=new Uint16Array(X),s.HEAPU32=Ie=new Uint32Array(X),s.HEAPF32=Se=new Float32Array(X),s.HEAPF64=Le=new Float64Array(X)}var tt=s.INITIAL_MEMORY||16777216,it,et=[],nt=[],ze=[],dt=!1;function jn(){return M}function Mt(){if(s.preRun)for(typeof s.preRun=="function"&&(s.preRun=[s.preRun]);s.preRun.length;)An(s.preRun.shift());xr(et)}function sa(){dt=!0,xr(nt)}function sn(){if(s.postRun)for(typeof s.postRun=="function"&&(s.postRun=[s.postRun]);s.postRun.length;)$n(s.postRun.shift());xr(ze)}function An(X){et.unshift(X)}function ia(X){nt.unshift(X)}function $n(X){ze.unshift(X)}var ot=0,Fn=null,qn=null;function yr(X){ot++,s.monitorRunDependencies&&s.monitorRunDependencies(ot)}function jo(X){if(ot--,s.monitorRunDependencies&&s.monitorRunDependencies(ot),ot==0&&(Fn!==null&&(clearInterval(Fn),Fn=null),qn)){var se=qn;qn=null,se()}}function Ja(X){s.onAbort&&s.onAbort(X),X="Aborted("+X+")",R(X),U=!0,G=1,X+=". Build with -sASSERTIONS for more info.";var se=new WebAssembly.RuntimeError(X);throw o(se),se}var yp="data:application/octet-stream;base64,";function ka(X){return X.startsWith(yp)}function qo(X){return X.startsWith("file://")}var Xt;Xt="tfjs-backend-wasm.wasm",ka(Xt)||(Xt=b(Xt));function $d(X){try{if(X==Xt&&S)return new Uint8Array(S);if(w)return w(X);throw"both async and sync fetching of the wasm failed"}catch(se){Ja(se)}}function Sg(){if(!S&&(h||m)){if(typeof fetch=="function"&&!qo(Xt))return fetch(Xt,{credentials:"same-origin"}).then(function(X){if(!X.ok)throw"failed to load wasm binary file at '"+Xt+"'";return X.arrayBuffer()}).catch(function(){return $d(Xt)});if(x)return new Promise(function(X,se){x(Xt,function(we){X(new Uint8Array(we))},se)})}return Promise.resolve().then(function(){return $d(Xt)})}function Tg(){var X={env:wp,wasi_snapshot_preview1:wp};function se(Ue,Be){var Pt=Ue.exports;s.asm=Pt,W=s.asm.memory,Ve(W.buffer),it=s.asm.__indirect_function_table,ia(s.asm.__wasm_call_ctors),jo("wasm-instantiate")}yr("wasm-instantiate");function we(Ue){se(Ue.instance)}function Ge(Ue){return Sg().then(function(Be){return WebAssembly.instantiate(Be,X)}).then(function(Be){return Be}).then(Ue,function(Be){R("failed to asynchronously prepare wasm: "+Be),Ja(Be)})}function wt(){return!S&&typeof WebAssembly.instantiateStreaming=="function"&&!ka(Xt)&&!qo(Xt)&&!f&&typeof fetch=="function"?fetch(Xt,{credentials:"same-origin"}).then(function(Ue){var Be=WebAssembly.instantiateStreaming(Ue,X);return Be.then(we,function(Pt){return R("wasm streaming compile failed: "+Pt),R("falling back to ArrayBuffer instantiation"),Ge(we)})}):Ge(we)}if(s.instantiateWasm)try{var kt=s.instantiateWasm(X,se);return kt}catch(Ue){R("Module.instantiateWasm callback failed with error: "+Ue),o(Ue)}return wt().catch(o),{}}var B1,Hr;function Ko(X){this.name="ExitStatus",this.message="Program terminated with exit("+X+")",this.status=X}function xr(X){for(;X.length>0;)X.shift()(s)}function W1(X){return X}function V1(X){var se=/\b_Z[\w\d_]+/g;return X.replace(se,function(we){var Ge=we;return we===Ge?we:Ge+" ["+we+"]"})}function Xo(){var X=new Error;if(!X.stack){try{throw new Error}catch(se){X=se}if(!X.stack)return"(no stack trace available)"}return X.stack.toString()}function Ng(X,se){le.set(X,se)}function Fd(){Ja("")}function xp(){return 2147483648}function yn(){return xp()}function Dd(X,se,we){ie.copyWithin(X,se,se+we)}function Cg(X){try{return W.grow(X-te.byteLength+65535>>>16),Ve(W.buffer),1}catch(se){}}function _g(X){var se=ie.length;X=X>>>0;var we=xp();if(X>we)return!1;let Ge=(Pt,oa)=>Pt+(oa-Pt%oa)%oa;for(var wt=1;wt<=4;wt*=2){var kt=se*(1+.2/wt);kt=Math.min(kt,X+100663296);var Ue=Math.min(we,Ge(Math.max(X,kt),65536)),Be=Cg(Ue);if(Be)return!0}return!1}var Eg={varargs:void 0,get:function(){Eg.varargs+=4;var X=xe[Eg.varargs-4>>2];return X},getStr:function(X){var se=Q(X);return se}};function U1(X){return 52}function Ag(X,se,we,Ge,wt){return 70}var Ms=[null,[],[]];function $g(X,se){var we=Ms[X];se===0||se===10?((X===1?A:R)(Z(we,0)),we.length=0):we.push(se)}function Fg(X,se,we,Ge){for(var wt=0,kt=0;kt>2],Be=Ie[se+4>>2];se+=8;for(var Pt=0;Pt>2]=wt,0}function vp(X){var se=s["_"+X];return se}function Rd(X,se,we,Ge,wt){var kt={string:Dn=>{var qr=0;if(Dn!=null&&Dn!==0){var Yd=(Dn.length<<2)+1;qr=Tp(Yd),ae(Dn,qr,Yd)}return qr},array:Dn=>{var qr=Tp(Dn.length);return Ng(Dn,qr),qr}};function Ue(Dn){return se==="string"?Q(Dn):se==="boolean"?Boolean(Dn):Dn}var Be=vp(X),Pt=[],oa=0;if(Ge)for(var vr=0;vrUe==="number"||Ue==="boolean"),kt=se!=="string";return kt&&wt&&!Ge?vp(X):function(){return Rd(X,se,we,arguments,Ge)}}var wp={abort:Fd,emscripten_get_heap_max:yn,emscripten_memcpy_big:Dd,emscripten_resize_heap:_g,fd_close:U1,fd_seek:Ag,fd_write:Fg},G1=Tg(),Pd=s.___wasm_call_ctors=function(){return(Pd=s.___wasm_call_ctors=s.asm.__wasm_call_ctors).apply(null,arguments)},Dg=s._init=function(){return(Dg=s._init=s.asm.init).apply(null,arguments)},Ee=s._init_with_threads_count=function(){return(Ee=s._init_with_threads_count=s.asm.init_with_threads_count).apply(null,arguments)},kp=s._get_threads_count=function(){return(kp=s._get_threads_count=s.asm.get_threads_count).apply(null,arguments)},Rg=s._register_tensor=function(){return(Rg=s._register_tensor=s.asm.register_tensor).apply(null,arguments)},H1=s._dispose_data=function(){return(H1=s._dispose_data=s.asm.dispose_data).apply(null,arguments)},j1=s._dispose=function(){return(j1=s._dispose=s.asm.dispose).apply(null,arguments)},Mg=s._Abs=function(){return(Mg=s._Abs=s.asm.Abs).apply(null,arguments)},Od=s._Add=function(){return(Od=s._Add=s.asm.Add).apply(null,arguments)},Yo=s._AddN=function(){return(Yo=s._AddN=s.asm.AddN).apply(null,arguments)},Pg=s._All=function(){return(Pg=s._All=s.asm.All).apply(null,arguments)},Og=s._Any=function(){return(Og=s._Any=s.asm.Any).apply(null,arguments)},q1=s._ArgMax=function(){return(q1=s._ArgMax=s.asm.ArgMax).apply(null,arguments)},Lg=s._AvgPool=function(){return(Lg=s._AvgPool=s.asm.AvgPool).apply(null,arguments)},zg=s._BatchMatMul=function(){return(zg=s._BatchMatMul=s.asm.BatchMatMul).apply(null,arguments)},Bg=s._Ceil=function(){return(Bg=s._Ceil=s.asm.Ceil).apply(null,arguments)},Wg=s._ClipByValue=function(){return(Wg=s._ClipByValue=s.asm.ClipByValue).apply(null,arguments)},Ld=s._Conv2D=function(){return(Ld=s._Conv2D=s.asm.Conv2D).apply(null,arguments)},zd=s._Conv2DBackpropInput=function(){return(zd=s._Conv2DBackpropInput=s.asm.Conv2DBackpropInput).apply(null,arguments)},Vg=s._Cos=function(){return(Vg=s._Cos=s.asm.Cos).apply(null,arguments)},Ug=s._Cosh=function(){return(Ug=s._Cosh=s.asm.Cosh).apply(null,arguments)},Gg=s._CropAndResize=function(){return(Gg=s._CropAndResize=s.asm.CropAndResize).apply(null,arguments)},Ip=s._Cumprod=function(){return(Ip=s._Cumprod=s.asm.Cumprod).apply(null,arguments)},Hg=s._Cumsum=function(){return(Hg=s._Cumsum=s.asm.Cumsum).apply(null,arguments)},jg=s._DepthToSpace=function(){return(jg=s._DepthToSpace=s.asm.DepthToSpace).apply(null,arguments)},qg=s._DepthwiseConv2dNative=function(){return(qg=s._DepthwiseConv2dNative=s.asm.DepthwiseConv2dNative).apply(null,arguments)},Ps=s._Elu=function(){return(Ps=s._Elu=s.asm.Elu).apply(null,arguments)},Kg=s._Equal=function(){return(Kg=s._Equal=s.asm.Equal).apply(null,arguments)},Xg=s._Exp=function(){return(Xg=s._Exp=s.asm.Exp).apply(null,arguments)},Bd=s._FlipLeftRight=function(){return(Bd=s._FlipLeftRight=s.asm.FlipLeftRight).apply(null,arguments)},Yg=s._Floor=function(){return(Yg=s._Floor=s.asm.Floor).apply(null,arguments)},Zo=s._FloorDiv=function(){return(Zo=s._FloorDiv=s.asm.FloorDiv).apply(null,arguments)},Zg=s._FusedBatchNorm=function(){return(Zg=s._FusedBatchNorm=s.asm.FusedBatchNorm).apply(null,arguments)},Jg=s._FusedConv2D=function(){return(Jg=s._FusedConv2D=s.asm.FusedConv2D).apply(null,arguments)},jr=s._FusedDepthwiseConv2D=function(){return(jr=s._FusedDepthwiseConv2D=s.asm.FusedDepthwiseConv2D).apply(null,arguments)},Sp=s._Gather=function(){return(Sp=s._Gather=s.asm.Gather).apply(null,arguments)},Qg=s._GatherNd=function(){return(Qg=s._GatherNd=s.asm.GatherNd).apply(null,arguments)},eb=s._Greater=function(){return(eb=s._Greater=s.asm.Greater).apply(null,arguments)},tb=s._GreaterEqual=function(){return(tb=s._GreaterEqual=s.asm.GreaterEqual).apply(null,arguments)},nb=s._LeakyRelu=function(){return(nb=s._LeakyRelu=s.asm.LeakyRelu).apply(null,arguments)},Wd=s._Less=function(){return(Wd=s._Less=s.asm.Less).apply(null,arguments)},Vd=s._LessEqual=function(){return(Vd=s._LessEqual=s.asm.LessEqual).apply(null,arguments)},ab=s._Log=function(){return(ab=s._Log=s.asm.Log).apply(null,arguments)},rb=s._LogicalAnd=function(){return(rb=s._LogicalAnd=s.asm.LogicalAnd).apply(null,arguments)},Ud=s._LogicalNot=function(){return(Ud=s._LogicalNot=s.asm.LogicalNot).apply(null,arguments)},Gd=s._LogicalOr=function(){return(Gd=s._LogicalOr=s.asm.LogicalOr).apply(null,arguments)},sb=s._LogicalXor=function(){return(sb=s._LogicalXor=s.asm.LogicalXor).apply(null,arguments)},ib=s._Max=function(){return(ib=s._Max=s.asm.Max).apply(null,arguments)},ob=s._MaxPool=function(){return(ob=s._MaxPool=s.asm.MaxPool).apply(null,arguments)},Hd=s._Maximum=function(){return(Hd=s._Maximum=s.asm.Maximum).apply(null,arguments)},K1=s._Mean=function(){return(K1=s._Mean=s.asm.Mean).apply(null,arguments)},lb=s._Min=function(){return(lb=s._Min=s.asm.Min).apply(null,arguments)},ub=s._Minimum=function(){return(ub=s._Minimum=s.asm.Minimum).apply(null,arguments)},pb=s._MirrorPad=function(){return(pb=s._MirrorPad=s.asm.MirrorPad).apply(null,arguments)},cb=s._Multiply=function(){return(cb=s._Multiply=s.asm.Multiply).apply(null,arguments)},db=s._Neg=function(){return(db=s._Neg=s.asm.Neg).apply(null,arguments)},hb=s._NonMaxSuppressionV3=function(){return(hb=s._NonMaxSuppressionV3=s.asm.NonMaxSuppressionV3).apply(null,arguments)},mb=s._NonMaxSuppressionV4=function(){return(mb=s._NonMaxSuppressionV4=s.asm.NonMaxSuppressionV4).apply(null,arguments)},fb=s._NonMaxSuppressionV5=function(){return(fb=s._NonMaxSuppressionV5=s.asm.NonMaxSuppressionV5).apply(null,arguments)},gb=s._NotEqual=function(){return(gb=s._NotEqual=s.asm.NotEqual).apply(null,arguments)},bb=s._OneHot=function(){return(bb=s._OneHot=s.asm.OneHot).apply(null,arguments)},yb=s._PadV2=function(){return(yb=s._PadV2=s.asm.PadV2).apply(null,arguments)},xb=s._Pow=function(){return(xb=s._Pow=s.asm.Pow).apply(null,arguments)},vb=s._Prelu=function(){return(vb=s._Prelu=s.asm.Prelu).apply(null,arguments)},wb=s._Prod=function(){return(wb=s._Prod=s.asm.Prod).apply(null,arguments)},kb=s._RealDiv=function(){return(kb=s._RealDiv=s.asm.RealDiv).apply(null,arguments)},Ib=s._Relu=function(){return(Ib=s._Relu=s.asm.Relu).apply(null,arguments)},Sb=s._Relu6=function(){return(Sb=s._Relu6=s.asm.Relu6).apply(null,arguments)},Tb=s._ResizeBilinear=function(){return(Tb=s._ResizeBilinear=s.asm.ResizeBilinear).apply(null,arguments)},Nb=s._ResizeNearestNeighbor=function(){return(Nb=s._ResizeNearestNeighbor=s.asm.ResizeNearestNeighbor).apply(null,arguments)},Cb=s._Reverse=function(){return(Cb=s._Reverse=s.asm.Reverse).apply(null,arguments)},_b=s._RotateWithOffset=function(){return(_b=s._RotateWithOffset=s.asm.RotateWithOffset).apply(null,arguments)},Eb=s._Round=function(){return(Eb=s._Round=s.asm.Round).apply(null,arguments)},Ab=s._Rsqrt=function(){return(Ab=s._Rsqrt=s.asm.Rsqrt).apply(null,arguments)},$b=s._ScatterNd=function(){return($b=s._ScatterNd=s.asm.ScatterNd).apply(null,arguments)},Fb=s._SelectV2=function(){return(Fb=s._SelectV2=s.asm.SelectV2).apply(null,arguments)},Db=s._Sigmoid=function(){return(Db=s._Sigmoid=s.asm.Sigmoid).apply(null,arguments)},Rb=s._Sin=function(){return(Rb=s._Sin=s.asm.Sin).apply(null,arguments)},Mb=s._Softmax=function(){return(Mb=s._Softmax=s.asm.Softmax).apply(null,arguments)},Pb=s._SparseFillEmptyRows=function(){return(Pb=s._SparseFillEmptyRows=s.asm.SparseFillEmptyRows).apply(null,arguments)},Ob=s._SparseReshape=function(){return(Ob=s._SparseReshape=s.asm.SparseReshape).apply(null,arguments)},Lb=s._SparseSegmentReduction=function(){return(Lb=s._SparseSegmentReduction=s.asm.SparseSegmentReduction).apply(null,arguments)},zb=s._Sqrt=function(){return(zb=s._Sqrt=s.asm.Sqrt).apply(null,arguments)},Bb=s._Square=function(){return(Bb=s._Square=s.asm.Square).apply(null,arguments)},Wb=s._SquaredDifference=function(){return(Wb=s._SquaredDifference=s.asm.SquaredDifference).apply(null,arguments)},Vb=s._Step=function(){return(Vb=s._Step=s.asm.Step).apply(null,arguments)},Ub=s._StridedSlice=function(){return(Ub=s._StridedSlice=s.asm.StridedSlice).apply(null,arguments)},Gb=s._Sub=function(){return(Gb=s._Sub=s.asm.Sub).apply(null,arguments)},Hb=s._Sum=function(){return(Hb=s._Sum=s.asm.Sum).apply(null,arguments)},jb=s._Tan=function(){return(jb=s._Tan=s.asm.Tan).apply(null,arguments)},qb=s._Tanh=function(){return(qb=s._Tanh=s.asm.Tanh).apply(null,arguments)},Kb=s._Tile=function(){return(Kb=s._Tile=s.asm.Tile).apply(null,arguments)},Xb=s._TopK=function(){return(Xb=s._TopK=s.asm.TopK).apply(null,arguments)},Yb=s._Transform=function(){return(Yb=s._Transform=s.asm.Transform).apply(null,arguments)},Zb=s._Transpose=function(){return(Zb=s._Transpose=s.asm.Transpose).apply(null,arguments)},Jb=s.__FusedMatMul=function(){return(Jb=s.__FusedMatMul=s.asm._FusedMatMul).apply(null,arguments)},Qb=s._malloc=function(){return(Qb=s._malloc=s.asm.malloc).apply(null,arguments)},ey=s._free=function(){return(ey=s._free=s.asm.free).apply(null,arguments)},ty=s.___errno_location=function(){return(ty=s.___errno_location=s.asm.__errno_location).apply(null,arguments)},jd=s.stackSave=function(){return(jd=s.stackSave=s.asm.stackSave).apply(null,arguments)},qd=s.stackRestore=function(){return(qd=s.stackRestore=s.asm.stackRestore).apply(null,arguments)},Tp=s.stackAlloc=function(){return(Tp=s.stackAlloc=s.asm.stackAlloc).apply(null,arguments)},ny=s.dynCall_iijjiiii=function(){return(ny=s.dynCall_iijjiiii=s.asm.dynCall_iijjiiii).apply(null,arguments)},ay=s.dynCall_jiji=function(){return(ay=s.dynCall_jiji=s.asm.dynCall_jiji).apply(null,arguments)};s.cwrap=Md;var Jo;qn=function X(){Jo||Kd(),Jo||(qn=X)};function Kd(X){if(X=X||p,ot>0||(Mt(),ot>0))return;function se(){Jo||(Jo=!0,s.calledRun=!0,!U&&(sa(),i(s),s.onRuntimeInitialized&&s.onRuntimeInitialized(),sn()))}s.setStatus?(s.setStatus("Running..."),setTimeout(function(){setTimeout(function(){s.setStatus("")},1),se()},1)):se()}if(s.preInit)for(typeof s.preInit=="function"&&(s.preInit=[s.preInit]);s.preInit.length>0;)s.preInit.pop()();Kd();var Qo;l&&(Qo={uncaughtException:process.listeners("uncaughtException").filter(function(X){return!l.uncaughtException.indexOf(X)>-1}),unhandledRejection:process.listeners("unhandledRejection").filter(function(X){return!l.unhandledRejection.indexOf(X)>-1})});var el;if(typeof r!="undefined")el=r;else if(typeof WasmBackendModuleThreadedSimd!="undefined")el=WasmBackendModuleThreadedSimd;else throw new Error("Could not find wasm module in post.js");if(Qo){var ry=el._dispose;el._dispose=function(){ry(),Qo.uncaughtException.forEach(function(X){process.removeListener("uncaughtException",X)}),Qo.unhandledRejection.forEach(function(X){process.removeListener("unhandledRejection",X)})}}return r.ready}})();typeof e=="object"&&typeof t=="object"?t.exports=n:typeof define=="function"&&define.amd?define([],function(){return n}):typeof e=="object"&&(e.WasmBackendModule=n)}),im=class{constructor(e,t){this.backend=e,this.dataMover=t,this.data=new WeakMap,this.dataIdsCount=0}get(e){return this.data.has(e)||this.dataMover.moveData(this.backend,e),this.data.get(e)}set(e,t){this.dataIdsCount++,this.data.set(e,t)}has(e){return this.data.has(e)}delete(e){return this.dataIdsCount--,this.data.delete(e)}numDataIds(){return this.dataIdsCount}},lc=class{refCount(e){return pa("refCount")}incRef(e){return pa("incRef")}timerAvailable(){return!0}time(e){return pa("time")}read(e){return pa("read")}readSync(e){return pa("readSync")}readToGPU(e,t){return pa("readToGPU")}numDataIds(){return pa("numDataIds")}disposeData(e,t){return pa("disposeData")}write(e,t,n){return pa("write")}move(e,t,n,a,r){return pa("move")}memory(){return pa("memory")}floatPrecision(){return pa("floatPrecision")}epsilon(){return this.floatPrecision()===32?1e-7:1e-4}dispose(){return pa("dispose")}};function pa(e){throw new Error(`'${e}' not yet implemented or not found in the registry. This kernel may not be supported by the tfjs backend you have chosen`)}function MI(e){let t=e.length,n=0;for(;t>0;)n=Math.random()*t|0,t--,_h(e,t,n)}function EF(e,t){if(e.length!==t.length)throw new Error(`Array sizes must match to be shuffled together First array length was ${e.length}Second array length was ${t.length}`);let n=e.length,a=0;for(;n>0;)a=Math.random()*n|0,n--,_h(e,n,a),_h(t,n,a)}function Hp(e,t,n){return Math.max(e,Math.min(t,n))}function AF(e){return e%2===0?e:e+1}function _h(e,t,n){let a=e[t];e[t]=e[n],e[n]=a}function $F(e){let t=0;for(let n=0;nn+` Shapes ${e} and ${t} must match`)}function mi(e){$(e!=null,()=>"The input to the tensor constructor must be a non-null value.")}function Js(e,t=[],n=!1){if(t==null&&(t=[]),Array.isArray(e)||dn(e)&&!n)for(let a=0;a0,n,a=setTimeout){return new Promise((r,s)=>{let i=0,o=()=>{if(e()){r();return}i++;let l=t(i);if(n!=null&&i>=n){s();return}a(o,l)};o()})}function zF(e,t){let n=1,a=-1;for(let s=0;s=0)n*=e[s];else if(e[s]===-1){if(a!==-1)throw Error(`Shapes can only have 1 implicit size. Found -1 at dim ${a} and dim ${s}`);a=s}else if(e[s]<0)throw Error(`Shapes can not be < 0. Found ${e[s]} at dim ${s}`);if(a===-1){if(t>0&&t!==n)throw Error(`Size(${t}) must match the product of shape ${e}`);return e}if(n===0)throw Error(`Cannot infer the missing size in [${e}] when there are 0 elements`);if(t%n!==0)throw Error(`The implicit shape can't be a fractional number. Got ${t} / ${n}`);let r=e.slice();return r[a]=t/n,r}function $a(e,t){let n=t.length;return e=e==null?t.map((a,r)=>r):[].concat(e),$(e.every(a=>a>=-n&&a`All values in axis param must be in range [-${n}, ${n}) but got axis ${e}`),$(e.every(a=>dl(a)),()=>`All values in axis param must be integers but got axis ${e}`),e.map(a=>a<0?n+a:a)}function PI(e,t){let n=[],a=[],r=t!=null&&Array.isArray(t)&&t.length===0,s=t==null||r?null:$a(t,e).sort(),i=0;for(let o=0;oo)&&e[o]===1&&(n.push(e[o]),a.push(o)),s[i]<=o&&i++}e[o]!==1&&(n.push(e[o]),a.push(o))}return{newShape:n,keptDims:a}}function OI(e,t){let n=null;if(e==null||e==="float32")n=new Float32Array(t);else if(e==="int32")n=new Int32Array(t);else if(e==="bool")n=new Uint8Array(t);else throw new Error(`Unknown data type ${e}`);return n}function LI(e,t){let n=null;if(e==null||e==="float32")n=new Float32Array(t);else if(e==="int32")n=new Int32Array(t);else if(e==="bool")n=new Uint8Array(t);else if(e==="string")n=new Array(t);else throw new Error(`Unknown data type ${e}`);return n}function zI(e,t){for(let n=0;nt+=n.length),t}function Jr(e){return typeof e=="string"||e instanceof String}function VI(e){return typeof e=="boolean"}function UI(e){return typeof e=="number"}function om(e){return Array.isArray(e)?om(e[0]):e instanceof Float32Array?"float32":e instanceof Int32Array||e instanceof Uint8Array||e instanceof Uint8ClampedArray?"int32":UI(e)?"float32":Jr(e)?"string":VI(e)?"bool":"float32"}function rs(e){return!!(e&&e.constructor&&e.call&&e.apply)}function Eh(e,t){for(let n=t;n=0;--a)n[a]=n[a+1]*e[a+1];return n}function GI(e,t,n,a=!1){let r=new Array;if(t.length===1){let s=t[0]*(a?2:1);for(let i=0;il*u)*(a?2:1);for(let l=0;lr*s)*(n?2:1);if(a===0)return[];if(a!==t.length)throw new Error(`[${e}] does not match the input size ${t.length}${n?" for a complex tensor":""}.`);return GI(0,e,t,n)}function Nx(e,t){let n=lm(e,t);for(let a=0;aa*r,1);if(t==null||t==="float32")return ll(e,new Float32Array(n));if(t==="int32")return ll(e,new Int32Array(n));if(t==="bool")return ll(e,new Uint8Array(n));throw new Error(`Unknown data type ${t}`)}function Cx(e){e.forEach(t=>{$(Number.isInteger(t)&&t>=0,()=>`Tensor must have a shape comprised of positive integers but got shape [${e}].`)})}function VF(e,t,n){if(t===0)return 0;if(t===1)return e[0];let a=e[e.length-1];for(let r=0;r{let[n,a]=t.split(":");this.urlFlags[n]=jF(n,a)})}};function GF(e){let t={};return e.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g,(n,...a)=>(HF(t,a[0],a[1]),a.join("="))),t}function HF(e,t,n){e[decodeURIComponent(t)]=decodeURIComponent(n||"")}function jF(e,t){if(t=t.toLowerCase(),t==="true"||t==="false")return t==="true";if(`${+t}`===t)return+t;throw new Error(`Could not parse value flag value ${t} for flag ${e}.`)}function H(){return Ex}var Ex=null;function qF(e){Ex=e}var py;function jI(){if(py==null){let e;if(typeof window!="undefined")e=window;else if(typeof global!="undefined")e=global;else if(typeof process!="undefined")e=process;else if(typeof self!="undefined")e=self;else throw new Error("Could not find a global object");py=e}return py}function KF(){let e=jI();return e._tfGlobals==null&&(e._tfGlobals=new Map),e._tfGlobals}function Ax(e,t){let n=KF();if(n.has(e))return n.get(e);{let a=t();return n.set(e,a),n.get(e)}}var $l="Abs",Fl="Acos",Dl="Acosh",fs="Add",fi="AddN",Rl="All",Ml="Any",gi="ArgMax",uc="ArgMin",Pl="Asin",Ol="Asinh",Ll="Atan",zl="Atanh",Bl="Atan2",bi="AvgPool",um="AvgPoolGrad",pc="AvgPool3D",pm="AvgPool3DGrad",yi="BatchMatMul",Wl="BatchToSpaceND",cm="Bincount",qI="BroadcastTo",dm="BroadcastArgs",xi="Cast",vi="Ceil",gs="ClipByValue",hm="Complex",cc="ComplexAbs",Vl="Concat",wi="Conv2D",mm="Conv2DBackpropFilter",ki="Conv2DBackpropInput",dc="Conv3D",fm="Conv3DBackpropFilterV2",gm="Conv3DBackpropInputV2",Ii="Cos",Si="Cosh",Ul="Cumprod",Ti="Cumsum",Gl="CropAndResize",bm="DenseBincount",Hl="DepthToSpace",Ni="DepthwiseConv2dNative",ym="DepthwiseConv2dNativeBackpropFilter",xm="DepthwiseConv2dNativeBackpropInput",vm="Diag",hc="Dilation2D",Ah="Dilation2DBackpropInput",$h="Dilation2DBackpropFilter",Ci="RealDiv",wm="Einsum",_i="Elu",km="EluGrad",jl="Erf",ql="Equal",Ei="Exp",Kl="ExpandDims",Xl="Expm1",Im="FFT",mc="Fill",Yl="FlipLeftRight",Ai="Floor",$i="FloorDiv",Fi="FusedBatchNorm",Zl="GatherV2",Jl="GatherNd",Ql="Greater",Di="GreaterEqual",Ri="Identity",Sm="IFFT",Tm="Imag",eu="IsFinite",tu="IsInf",nu="IsNan",Mi="LeakyRelu",au="Less",ru="LessEqual",Nm="LinSpace",Pi="Log",su="Log1p",iu="LogicalAnd",ou="LogicalNot",lu="LogicalOr",KI="LogicalXor",XI="LogSoftmax",XF="LowerBound",fc="LRN",Cm="LRNGrad",Oi="Max",Li="Maximum",zi="MaxPool",_m="MaxPoolGrad",gc="MaxPool3D",Em="MaxPool3DGrad",Am="MaxPoolWithArgmax",Bi="Mean",Wi="Min",Vi="Minimum",Ui="MirrorPad",uu="Mod",$m="Multinomial",Gi="Multiply",pu="Neg",cu="NotEqual",du="NonMaxSuppressionV3",hu="NonMaxSuppressionV4",mu="NonMaxSuppressionV5",fu="OnesLike",Hi="OneHot",gu="Pack",ji="PadV2",YF="Pool",qi="Pow",Ki="Prelu",Xi="Prod",Fm="RaggedGather",Dm="RaggedTensorToTensor",bc="Range",Rm="Real",bu="Reciprocal",Yi="Relu",yu="Reshape",Zi="ResizeNearestNeighbor",Mm="ResizeNearestNeighborGrad",Ji="ResizeBilinear",Pm="ResizeBilinearGrad",Qi="Relu6",eo="Reverse",to="Round",no="Rsqrt",xu="ScatterNd",Om="SearchSorted",vu="Select",wu="Selu",ku="Slice",ao="Sin",Iu="Sinh",Su="Sign",ro="Sigmoid",Tu="Softplus",so="Sqrt",io="Sum",Nu="SpaceToBatchND",Cu="SplitV",oo="Softmax",yc="SparseFillEmptyRows",_u="SparseReshape",xc="SparseSegmentMean",vc="SparseSegmentSum",Lm="SparseToDense",lo="SquaredDifference",wc="Square",Eu="StridedSlice",kc="StringNGrams",Ic="StringSplit",Sc="StringToHashBucketFast",uo="Sub",po="Tan",co="Tanh",bs="Tile",Au="TopK",$u="Transform",_r="Transpose",zm="Unique",Fu="Unpack",Tc="UnsortedSegmentSum",ZF="UpperBound",Du="ZerosLike",ys="Step",Fh="FromPixels",Ru="RotateWithOffset",Qs="_FusedMatMul",ei="FusedConv2D",ti="FusedDepthwiseConv2D";function Zr(...e){H().getBool("IS_TEST")||H().getBool("PROD")||console.warn(...e)}function JF(...e){H().getBool("IS_TEST")||H().getBool("PROD")||console.log(...e)}var hl=Ax("kernelRegistry",()=>new Map),jp=Ax("gradRegistry",()=>new Map);function Dh(e,t){let n=$x(e,t);return hl.get(n)}function Ty(e){return jp.get(e)}function Rh(e){let t=hl.entries(),n=[];for(;;){let{done:a,value:r}=t.next();if(a)break;let[s,i]=r,[o]=s.split("_");o===e&&n.push(i)}return n}function Nc(e){let{kernelName:t,backendName:n}=e,a=$x(t,n);hl.has(a)&&Zr(`The kernel '${t}' for backend '${n}' is already registered`),hl.set(a,e)}function YI(e){let{kernelName:t}=e;jp.has(t)&&H().getBool("DEBUG")&&Zr(`Overriding the gradient for '${t}'`),jp.set(t,e)}function QF(e,t){let n=$x(e,t);if(!hl.has(n))throw new Error(`The kernel '${e}' for backend '${t}' is not registered`);hl.delete(n)}function eD(e){if(!jp.has(e))throw new Error(`The gradient '${e}' for backend is not registered`);jp.delete(e)}function tD(e,t){Rh(e).forEach(n=>{let a=Object.assign({},n,{backendName:t});Nc(a)})}function $x(e,t){return`${t}_${e}`}var v={};_e(v,{arraysEqual:()=>ms,assert:()=>$,assertNonNegativeIntegerDimensions:()=>Cx,assertNonNull:()=>mi,assertShapesMatch:()=>Sn,bytesFromStringArray:()=>WI,bytesPerElement:()=>Sy,checkConversionForErrors:()=>zI,clamp:()=>Hp,computeStrides:()=>Al,createScalarValue:()=>oD,createShuffledIndices:()=>OF,decodeString:()=>Mh,distSquared:()=>DF,encodeString:()=>_c,fetch:()=>uD,fingerPrint64:()=>iD,flatten:()=>Js,getArrayFromDType:()=>LI,getTypedArrayFromDType:()=>OI,hasEncodingLoss:()=>BF,hexToLong:()=>Cc,indexToLoc:()=>UF,inferDtype:()=>om,inferFromImplicitShape:()=>zF,isBoolean:()=>VI,isFunction:()=>rs,isInt:()=>dl,isNumber:()=>UI,isPromise:()=>_x,isScalarShape:()=>RF,isString:()=>Jr,isTypedArray:()=>dn,isValidDtype:()=>BI,locToIndex:()=>VF,makeOnesTypedArray:()=>Nx,makeZerosNestedTypedArray:()=>WF,makeZerosTypedArray:()=>lm,nearestDivisor:()=>Eh,nearestLargerEven:()=>AF,now:()=>qp,parseAxisParam:()=>$a,randUniform:()=>FF,repeatedTry:()=>LF,rightPad:()=>Wp,shuffle:()=>MI,shuffleCombo:()=>EF,sizeFromShape:()=>mt,sizeToSquarishShape:()=>PF,squeezeShape:()=>PI,sum:()=>$F,swap:()=>_h,tanh:()=>MF,toNestedArray:()=>ll,toTypedArray:()=>Bm});var rk=hs(dF()),Ws=rk.default||rk;function Cc(e){return Ws.fromString(e,!0,16)}var ZI=Cc("c3a5c85c97cb3127"),zs=Cc("b492b66fbe98f273"),xn=Cc("9ae16a3b2f90404f");function Ny(e){return e.xor(e.shru(47))}function JI(e,t,n){let a=e.slice(t,t+n);return Ws.fromBytes(Array.from(a),!0,!0)}function ht(e,t){return JI(e,t,8)}function sk(e,t){return JI(e,t,4)}function Yt(e,t){return t===0?e:e.shru(t).or(e.shl(64-t))}function ts(e,t,n=Cc("9ddfea08eb382d69")){let a=e.xor(t).mul(n);a=a.xor(a.shru(47));let r=t.xor(a).mul(n);return r=r.xor(r.shru(47)),r=r.mul(n),r}function nD(e,t,n,a,r,s){r=r.add(e),s=Yt(s.add(r).add(a),21);let i=r;return r=r.add(t),r=r.add(n),s=s.add(Yt(r,44)),[r.add(a),s.add(i)]}function rh(e,t,n,a){return nD(ht(e,t),ht(e,t+8),ht(e,t+16),ht(e,t+24),n,a)}function aD(e,t=e.length){if(t>=8){let n=xn.add(t*2),a=ht(e,0).add(xn),r=ht(e,t-8),s=Yt(r,37).mul(n).add(a),i=Yt(a,25).add(r).mul(n);return ts(s,i,n)}if(t>=4){let n=xn.add(t*2),a=sk(e,0);return ts(a.shl(3).add(t),sk(e,t-4),n)}if(t>0){let n=e[0],a=e[t>>1],r=e[t-1],s=n+(a<<8),i=t+(r<<2);return Ny(xn.mul(s).xor(ZI.mul(i))).mul(xn)}return xn}function rD(e,t=e.length){let n=xn.add(t*2),a=ht(e,0).mul(zs),r=ht(e,8),s=ht(e,t-8).mul(n),i=ht(e,t-16).mul(xn);return ts(Yt(a.add(r),43).add(Yt(s,30)).add(i),a.add(Yt(r.add(xn),18)).add(s),n)}function sD(e,t=e.length){let n=xn.add(t*2),a=ht(e,0).mul(xn),r=ht(e,8),s=ht(e,t-8).mul(n),i=ht(e,t-16).mul(xn),o=Yt(a.add(r),43).add(Yt(s,30)).add(i),l=ts(o,a.add(Yt(r.add(xn),18)).add(s),n),u=ht(e,16).mul(n),p=ht(e,24),d=o.add(ht(e,t-32)).mul(n),c=l.add(ht(e,t-24)).mul(n);return ts(Yt(u.add(p),43).add(Yt(d,30)).add(c),u.add(Yt(p.add(a),18)).add(d),n)}function iD(e,t=e.length){let n=Ws.fromNumber(81,!0);if(t<=32)return t<=16?aD(e,t):rD(e,t);if(t<=64)return sD(e,t);let a=n,r=n.mul(zs).add(113),s=Ny(r.mul(xn).add(113)).mul(xn),i=[Ws.UZERO,Ws.UZERO],o=[Ws.UZERO,Ws.UZERO];a=a.mul(xn).add(ht(e,0));let l=0,u=(t-1>>6)*64,p=u+(t-1&63)-63;do a=Yt(a.add(r).add(i[0]).add(ht(e,l+8)),37).mul(zs),r=Yt(r.add(i[1]).add(ht(e,l+48)),42).mul(zs),a=a.xor(o[1]),r=r.add(i[0]).add(ht(e,l+40)),s=Yt(s.add(o[0]),33).mul(zs),i=rh(e,l,i[1].mul(zs),a.add(o[0])),o=rh(e,l+32,s.add(o[1]),r.add(ht(e,l+16))),[s,a]=[a,s],l+=64;while(l!==u);let d=zs.add(s.and(255).shl(1));return l=p,o[0]=o[0].add(t-1&63),i[0]=i[0].add(o[0]),o[0]=o[0].add(i[0]),a=Yt(a.add(r).add(i[0]).add(ht(e,l+8)),37).mul(d),r=Yt(r.add(i[1]).add(ht(e,l+48)),42).mul(d),a=a.xor(o[1].mul(9)),r=r.add(i[0].mul(9).add(ht(e,l+40))),s=Yt(s.add(o[0]),33).mul(d),i=rh(e,l,i[1].mul(d),a.add(o[0])),o=rh(e,l+32,s.add(o[1]),r.add(ht(e,l+16))),[s,a]=[a,s],ts(ts(i[0],o[0],d).add(Ny(r).mul(ZI)).add(s),ts(i[1],o[1],d).add(a),d)}function oD(e,t){return t==="string"?_c(e):Bm([e],t)}function lD(e,t){return e instanceof Float32Array&&t==="float32"||e instanceof Int32Array&&t==="int32"||e instanceof Uint8Array&&t==="bool"}function Bm(e,t){if(t==="string")throw new Error("Cannot convert a string[] to a TypedArray");if(Array.isArray(e)&&(e=Js(e)),H().getBool("DEBUG")&&zI(e,t),lD(e,t))return e;if(t==null||t==="float32"||t==="complex64")return new Float32Array(e);if(t==="int32")return new Int32Array(e);if(t==="bool"){let n=new Uint8Array(e.length);for(let a=0;a{a=n()},s,i=qp();if(this.backendTimer.timerAvailable())s=this.backendTimer.time(r);else{r();for(let o of a)o.dataSync();s=Promise.resolve({kernelMs:qp()-i})}if(H().getBool("CHECK_COMPUTATION_FOR_ERRORS"))for(let o=0;o{cD(u,l.dtype,e)})}return{kernelName:e,outputs:a,inputs:t,timeMs:s.then(o=>o.kernelMs),extraInfo:s.then(o=>o.getExtraProfileInfo!=null?o.getExtraProfileInfo():"")}}logKernelProfile(e){let{kernelName:t,outputs:n,timeMs:a,inputs:r,extraInfo:s}=e;n.forEach(i=>{Promise.all([i.data(),a,s]).then(o=>{this.logger.logKernelProfile(t,i,o[0],o[1],r,o[2])})})}};function cD(e,t,n){if(t!=="float32")return!1;for(let a=0;a0?m:""} `}}console.log(`%c${o} %c${i} %c${l}D ${p} %c${u} %c${d} %c${s}`,"font-weight:bold","color:red","color:blue","color: orange","color: green","color: steelblue")}};function hD(e,t,n){let a={},r={};for(let l=0;la[f.id]=!0),h=!0,r[u.id]=!0;break}if(h)break}}let s={};s[n.id]=!0;let i={};for(let l=e.length-1;l>=0;l--){let u=e[l],p=u.inputs;for(let d=0;d=0;r--){let s=t[r],i=[];if(s.outputs.forEach(l=>{let u=e[l.id];u!=null?i.push(u):i.push(null)}),s.gradient==null)throw new Error(`Cannot compute gradient: gradient function not found for ${s.kernelName}.`);let o=s.gradient(i);for(let l in s.inputs){if(!(l in o))throw new Error(`Cannot backprop through input ${l}. Available gradients found: ${Object.keys(o)}.`);let u=n(()=>o[l]());if(u.dtype!=="float32")throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input ${l} must have 'float32' dtype, but has '${u.dtype}'`);let p=s.inputs[l];if(!ms(u.shape,p.shape))throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input '${l}' has shape '${u.shape}', which does not match the shape of the input '${p.shape}'`);if(e[p.id]==null)e[p.id]=u;else{let d=e[p.id];e[p.id]=a(d,u),d.dispose()}}}}var ik=20,Cp=3,cy=7;function fD(e,t,n,a){let r=Al(t),s=gD(e,t,n,r),i=t.length,o=bh(e,t,n,r,s),l=["Tensor"];return a&&(l.push(` dtype: ${n}`),l.push(` rank: ${i}`),l.push(` shape: [${t}]`),l.push(" values:")),l.push(o.map(u=>" "+u).join(` +`));var Z=c.print||q,Q=c.printErr||K;Object.assign(c,g),g=null,c.arguments&&(b=c.arguments),c.thisProgram&&(y=c.thisProgram),c.quit&&(x=c.quit);var ee=4,ae=Atomics.load,te=Atomics.store,le=Atomics.compareExchange,ie;c.wasmBinary&&(ie=c.wasmBinary);var be=c.noExitRuntime||!0;typeof WebAssembly!="object"&&Yo("no native wasm support detected");var ue,xe,Ie=!1,Se;function Le(D,j){D||Yo(j)}var Ve=typeof TextDecoder!="undefined"?new TextDecoder("utf8"):void 0;function nt(D,j,re){for(var ce=j+re,ke=j;D[ke]&&!(ke>=ce);)++ke;if(ke-j>16&&D.buffer&&Ve)return Ve.decode(D.buffer instanceof SharedArrayBuffer?D.slice(j,ke):D.subarray(j,ke));for(var je="";j>10,56320|ua&1023)}}return je}function it(D,j){return D?nt(i(),D,j):""}function et(D,j,re,ce){if(!(ce>0))return 0;for(var ke=re,je=re+ce-1,Ce=0;Ce=55296&&Re<=57343){var Ot=D.charCodeAt(++Ce);Re=65536+((Re&1023)<<10)|Ot&1023}if(Re<=127){if(re>=je)break;j[re++]=Re}else if(Re<=2047){if(re+1>=je)break;j[re++]=192|Re>>6,j[re++]=128|Re&63}else if(Re<=65535){if(re+2>=je)break;j[re++]=224|Re>>12,j[re++]=128|Re>>6&63,j[re++]=128|Re&63}else{if(re+3>=je)break;j[re++]=240|Re>>18,j[re++]=128|Re>>12&63,j[re++]=128|Re>>6&63,j[re++]=128|Re&63}}return j[re]=0,re-ke}function at(D,j,re){return et(D,i(),j,re)}var ze,dt,jn,Mt,ia,on,Fn,oa,Dn;C&&(ze=c.buffer);function ot(D){ze=D,c.HEAP8=dt=new Int8Array(D),c.HEAP16=Mt=new Int16Array(D),c.HEAP32=on=new Int32Array(D),c.HEAPU8=jn=new Uint8Array(D),c.HEAPU16=ia=new Uint16Array(D),c.HEAPU32=Fn=new Uint32Array(D),c.HEAPF32=oa=new Float32Array(D),c.HEAPF64=Dn=new Float64Array(D)}var Rn=c.INITIAL_MEMORY||16777216;if(C)ue=c.wasmMemory,ze=c.buffer;else if(c.wasmMemory)ue=c.wasmMemory;else if(ue=new WebAssembly.Memory({initial:Rn/65536,maximum:32768,shared:!0}),!(ue.buffer instanceof SharedArrayBuffer))throw Q("requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag"),T&&console.log("(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and also use a recent version)"),Error("bad memory");ue&&(ze=ue.buffer),Rn=ze.byteLength,ot(ze);var qn,xr=[],qo=[],er=[],vp=!1;function Ia(){return be}function Ko(){if(c.preRun)for(typeof c.preRun=="function"&&(c.preRun=[c.preRun]);c.preRun.length;)Ng(c.preRun.shift());Sp(xr)}function Xt(){vp=!0,!C&&Sp(qo)}function Fd(){if(!C){if(c.postRun)for(typeof c.postRun=="function"&&(c.postRun=[c.postRun]);c.postRun.length;)G1(c.postRun.shift());Sp(er)}}function Ng(D){xr.unshift(D)}function Cg(D){qo.unshift(D)}function G1(D){er.unshift(D)}var jr=0,Xo=null,vr=null;function H1(D){jr++,c.monitorRunDependencies&&c.monitorRunDependencies(jr)}function j1(D){if(jr--,c.monitorRunDependencies&&c.monitorRunDependencies(jr),jr==0&&(Xo!==null&&(clearInterval(Xo),Xo=null),vr)){var j=vr;vr=null,j()}}function Yo(D){C?postMessage({cmd:"onAbort",arg:D}):c.onAbort&&c.onAbort(D),D="Aborted("+D+")",Q(D),Ie=!0,Se=1,D+=". Build with -sASSERTIONS for more info.";var j=new WebAssembly.RuntimeError(D);throw m(j),j}var _g="data:application/octet-stream;base64,";function Dd(D){return D.startsWith(_g)}function wp(D){return D.startsWith("file://")}var yn;yn="tfjs-backend-wasm-threaded-simd.wasm",Dd(yn)||(yn=A(yn));function Rd(D){try{if(D==yn&&ie)return new Uint8Array(ie);if(S)return S(D);throw"both async and sync fetching of the wasm failed"}catch(j){Yo(j)}}function Eg(){if(!ie&&(w||I)){if(typeof fetch=="function"&&!wp(yn))return fetch(yn,{credentials:"same-origin"}).then(function(D){if(!D.ok)throw"failed to load wasm binary file at '"+yn+"'";return D.arrayBuffer()}).catch(function(){return Rd(yn)});if(F)return new Promise(function(D,j){F(yn,function(re){D(new Uint8Array(re))},j)})}return Promise.resolve().then(function(){return Rd(yn)})}function Ag(){var D={env:jd,wasi_snapshot_preview1:jd};function j(Ce,Re){var Ot=Ce.exports;if(c.asm=Ot,Wg(c.asm._emscripten_tls_init),qn=c.asm.__indirect_function_table,Cg(c.asm.__wasm_call_ctors),xe=Re,!C){var ua=$e.unusedWorkers.length;$e.unusedWorkers.forEach(function(kr){$e.loadWasmModuleToWorker(kr,function(){--ua||j1("wasm-instantiate")})})}}C||H1("wasm-instantiate");function re(Ce){j(Ce.instance,Ce.module)}function ce(Ce){return Eg().then(function(Re){return WebAssembly.instantiate(Re,D)}).then(function(Re){return Re}).then(Ce,function(Re){Q("failed to asynchronously prepare wasm: "+Re),Yo(Re)})}function ke(){return!ie&&typeof WebAssembly.instantiateStreaming=="function"&&!Dd(yn)&&!wp(yn)&&!T&&typeof fetch=="function"?fetch(yn,{credentials:"same-origin"}).then(function(Ce){var Re=WebAssembly.instantiateStreaming(Ce,D);return Re.then(re,function(Ot){return Q("wasm streaming compile failed: "+Ot),Q("falling back to ArrayBuffer instantiation"),ce(re)})}):ce(re)}if(c.instantiateWasm)try{var je=c.instantiateWasm(D,j);return je}catch(Ce){Q("Module.instantiateWasm callback failed with error: "+Ce),m(Ce)}return ke().catch(m),{}}var $g,q1,Fg={};function Ms(D){this.name="ExitStatus",this.message="Program terminated with exit("+D+")",this.status=D}function Dg(D){var j=$e.pthreads[D];delete $e.pthreads[D],j.terminate(),ly(D),$e.runningWorkers.splice($e.runningWorkers.indexOf(j),1),j.pthread_ptr=0}function Rg(D){var j=$e.pthreads[D];j.postMessage({cmd:"cancel"})}function kp(D){var j=$e.pthreads[D];Le(j),$e.returnWorkerToPool(j)}function Md(D){var j=$e.getNewWorker();if(!j)return 6;$e.runningWorkers.push(j),$e.pthreads[D.pthread_ptr]=j,j.pthread_ptr=D.pthread_ptr;var re={cmd:"run",start_routine:D.startRoutine,arg:D.arg,pthread_ptr:D.pthread_ptr};return j.runPthread=()=>{re.time=performance.now(),j.postMessage(re,D.transferList)},j.loaded&&(j.runPthread(),delete j.runPthread),0}var Pd={varargs:void 0,get:function(){Pd.varargs+=4;var D=l()[Pd.varargs-4>>2];return D},getStr:function(D){var j=it(D);return j}};function Ip(D){if(C)return qr(1,1,D);Se=D,Ia()||($e.terminateAllThreads(),c.onExit&&c.onExit(D),Ie=!0),x(D,new Ms(D))}function K1(D,j){if(Se=D,!j&&C)throw Ld(D),"unwind";Ip(D)}var Od=K1;function Mg(D){if(D instanceof Ms||D=="unwind")return Se;x(1,D)}var $e={unusedWorkers:[],runningWorkers:[],tlsInitFunctions:[],pthreads:{},init:function(){C?$e.initWorker():$e.initMainThread()},initMainThread:function(){for(var D=8;D--;)$e.allocateUnusedWorker()},initWorker:function(){be=!1},setExitStatus:function(D){Se=D},terminateAllThreads:function(){for(var D of Object.values($e.pthreads))$e.returnWorkerToPool(D);for(var D of $e.unusedWorkers)D.terminate();$e.unusedWorkers=[]},returnWorkerToPool:function(D){var j=D.pthread_ptr;delete $e.pthreads[j],$e.unusedWorkers.push(D),$e.runningWorkers.splice($e.runningWorkers.indexOf(D),1),D.pthread_ptr=0,ly(j)},receiveObjectTransfer:function(D){},threadInitTLS:function(){$e.tlsInitFunctions.forEach(D=>D())},loadWasmModuleToWorker:function(D,j){D.onmessage=re=>{var ce=re.data,ke=ce.cmd;if(D.pthread_ptr&&($e.currentProxiedOperationCallerThread=D.pthread_ptr),ce.targetThread&&ce.targetThread!=Jd()){var je=$e.pthreads[ce.targetThread];je?je.postMessage(ce,ce.transferList):Q('Internal error! Worker sent a message "'+ke+'" to target pthread '+ce.targetThread+", but that thread no longer exists!"),$e.currentProxiedOperationCallerThread=void 0;return}ke==="processProxyingQueue"?Tp(ce.queue):ke==="spawnThread"?Md(ce):ke==="cleanupThread"?kp(ce.thread):ke==="killThread"?Dg(ce.thread):ke==="cancelThread"?Rg(ce.thread):ke==="loaded"?(D.loaded=!0,j&&j(D),D.runPthread&&(D.runPthread(),delete D.runPthread)):ke==="print"?Z("Thread "+ce.threadId+": "+ce.text):ke==="printErr"?Q("Thread "+ce.threadId+": "+ce.text):ke==="alert"?alert("Thread "+ce.threadId+": "+ce.text):ce.target==="setimmediate"?D.postMessage(ce):ke==="onAbort"?c.onAbort&&c.onAbort(ce.arg):ke&&Q("worker sent an unknown command "+ke),$e.currentProxiedOperationCallerThread=void 0},D.onerror=re=>{var ce="worker sent an error!";throw Q(ce+" "+re.filename+":"+re.lineno+": "+re.message),re},T&&(D.on("message",function(re){D.onmessage({data:re})}),D.on("error",function(re){D.onerror(re)}),D.on("detachedExit",function(){})),D.postMessage({cmd:"load",urlOrBlob:c.mainScriptUrlOrBlob||a,wasmMemory:ue,wasmModule:xe})},allocateUnusedWorker:function(){var D=A("tfjs-backend-wasm-threaded-simd.worker.js");$e.unusedWorkers.push(new Worker(D))},getNewWorker:function(){return $e.unusedWorkers.length==0&&($e.allocateUnusedWorker(),$e.loadWasmModuleToWorker($e.unusedWorkers[0])),$e.unusedWorkers.pop()}};c.PThread=$e;function Sp(D){for(;D.length>0;)D.shift()(c)}function Pg(D){var j=uy(),re=D();return Qd(j),re}function X1(D){return D}function Y1(D){var j=/\b_Z[\w\d_]+/g;return D.replace(j,function(re){var ce=re;return re===ce?re:ce+" ["+re+"]"})}function Og(){var D=Jd(),j=l()[D+44>>2],re=l()[D+48>>2],ce=j-re;ak(j,ce),Qd(j)}c.establishStackSpace=Og;function Ld(D){if(C)return qr(2,0,D);try{Od(D)}catch(j){Mg(j)}}var Zo=[];function Lg(D){var j=Zo[D];return j||(D>=Zo.length&&(Zo.length=D+1),Zo[D]=j=qn.get(D)),j}function zg(D,j){var re=Lg(D)(j);Ia()?$e.setExitStatus(re):nk(re)}c.invokeEntryPoint=zg;function Z1(){var D=new Error;if(!D.stack){try{throw new Error}catch(j){D=j}if(!D.stack)return"(no stack trace available)"}return D.stack.toString()}function Wg(D){$e.tlsInitFunctions.push(D)}function Bg(D,j){s().set(D,j)}function Vg(D){Q1(D,!I,1,!w),$e.threadInitTLS()}function Ug(D){C?postMessage({cmd:"cleanupThread",thread:D}):kp(D)}function zd(D,j,re,ce){return C?qr(3,1,D,j,re,ce):Wd(D,j,re,ce)}function Wd(D,j,re,ce){if(typeof SharedArrayBuffer=="undefined")return Q("Current environment does not support SharedArrayBuffer, pthreads are not available!"),6;var ke=[],je=0;if(C&&(ke.length===0||je))return zd(D,j,re,ce);if(je)return je;var Ce={startRoutine:re,pthread_ptr:D,arg:ce,transferList:ke};return C?(Ce.cmd="spawnThread",postMessage(Ce,ke),0):Md(Ce)}function Gg(){return 2097152}var Hg=!0;function jg(){return Hg}function Tp(D){Atomics.store(l(),D>>2,1),Jd()&&tk(D),Atomics.compareExchange(l(),D>>2,1,0)}c.executeNotifiedProxyingQueue=Tp;function qg(D,j,re,ce){if(D==j)setTimeout(()=>Tp(ce));else if(C)postMessage({targetThread:D,cmd:"processProxyingQueue",queue:ce});else{var ke=$e.pthreads[D];if(!ke)return;ke.postMessage({cmd:"processProxyingQueue",queue:ce})}return 1}function Kg(D,j,re){return-1}function Xg(){Yo("")}function Ps(D){Ps.shown||(Ps.shown={}),Ps.shown[D]||(Ps.shown[D]=1,T&&(D="warning: "+D),Q(D))}function Yg(){T||I||Ps("Blocking on the main thread is very dangerous, see https://emscripten.org/docs/porting/pthreads.html#blocking-on-the-main-browser-thread")}function Zg(){return Date.now()}function Bd(){return 2147483648}function Jg(){return Bd()}var Jo;T?Jo=()=>{var D=process.hrtime();return D[0]*1e3+D[1]/1e6}:C?Jo=()=>performance.now()-c.__performance_now_clock_drift:Jo=()=>performance.now();function Qg(D,j,re){i().copyWithin(D,j,j+re)}function eb(){return T?DF().cpus().length:navigator.hardwareConcurrency}function qr(D,j){var re=arguments.length-2,ce=arguments;return Pg(()=>{for(var ke=re,je=eh(ke*8),Ce=je>>3,Re=0;Re>3,ke=0;ke>>16),ot(ue.buffer),1}catch(j){}}function ab(D){var j=i().length;if(D=D>>>0,D<=j)return!1;var re=Bd();if(D>re)return!1;let ce=(Ot,ua)=>Ot+(ua-Ot%ua)%ua;for(var ke=1;ke<=4;ke*=2){var je=j*(1+.2/ke);je=Math.min(je,D+100663296);var Ce=Math.min(re,ce(Math.max(D,je),65536)),Re=nb(Ce);if(Re)return!0}return!1}function rb(){throw"unwind"}function Vd(D){return C?qr(4,1,D):52}function Ud(D,j,re,ce,ke){return C?qr(5,1,D,j,re,ce,ke):70}var sb=[null,[],[]];function ib(D,j){var re=sb[D];j===0||j===10?((D===1?Z:Q)(nt(re,0)),re.length=0):re.push(j)}function Gd(D,j,re,ce){if(C)return qr(6,1,D,j,re,ce);for(var ke=0,je=0;je>2],Re=u()[j+4>>2];j+=8;for(var Ot=0;Ot>2]=ke,0}function Hd(D){var j=c["_"+D];return j}function ob(D,j,re,ce,ke){var je={string:pa=>{var nl=0;if(pa!=null&&pa!==0){var ik=(pa.length<<2)+1;nl=eh(ik),at(pa,nl,ik)}return nl},array:pa=>{var nl=eh(pa.length);return Bg(pa,nl),nl}};function Ce(pa){return j==="string"?it(pa):j==="boolean"?Boolean(pa):pa}var Re=Hd(D),Ot=[],ua=0;if(ce)for(var kr=0;krCe==="number"||Ce==="boolean"),je=j!=="string";return je&&ke&&!ce?Hd(D):function(){return ob(D,j,re,arguments,ce)}}$e.init();var ub=[null,Ip,Ld,zd,Vd,Ud,Gd],jd={__emscripten_init_main_thread_js:Vg,__emscripten_thread_cleanup:Ug,__pthread_create_js:Wd,_emscripten_default_pthread_stack_size:Gg,_emscripten_get_now_is_monotonic:jg,_emscripten_notify_task_queue:qg,_emscripten_set_offscreencanvas_size:Kg,abort:Xg,emscripten_check_blocking_allowed:Yg,emscripten_date_now:Zg,emscripten_get_heap_max:Jg,emscripten_get_now:Jo,emscripten_memcpy_big:Qg,emscripten_num_logical_cores:eb,emscripten_receive_on_main_thread_js:tb,emscripten_resize_heap:ab,emscripten_unwind_to_js_event_loop:rb,exit:Od,fd_close:Vd,fd_seek:Ud,fd_write:Gd,memory:ue||c.wasmMemory},J1=Ag(),pb=c.___wasm_call_ctors=function(){return(pb=c.___wasm_call_ctors=c.asm.__wasm_call_ctors).apply(null,arguments)},cb=c._init=function(){return(cb=c._init=c.asm.init).apply(null,arguments)},db=c._init_with_threads_count=function(){return(db=c._init_with_threads_count=c.asm.init_with_threads_count).apply(null,arguments)},hb=c._get_threads_count=function(){return(hb=c._get_threads_count=c.asm.get_threads_count).apply(null,arguments)},mb=c._register_tensor=function(){return(mb=c._register_tensor=c.asm.register_tensor).apply(null,arguments)},fb=c._dispose_data=function(){return(fb=c._dispose_data=c.asm.dispose_data).apply(null,arguments)},gb=c._dispose=function(){return(gb=c._dispose=c.asm.dispose).apply(null,arguments)},bb=c._Abs=function(){return(bb=c._Abs=c.asm.Abs).apply(null,arguments)},yb=c._Add=function(){return(yb=c._Add=c.asm.Add).apply(null,arguments)},xb=c._AddN=function(){return(xb=c._AddN=c.asm.AddN).apply(null,arguments)},vb=c._All=function(){return(vb=c._All=c.asm.All).apply(null,arguments)},wb=c._Any=function(){return(wb=c._Any=c.asm.Any).apply(null,arguments)},kb=c._ArgMax=function(){return(kb=c._ArgMax=c.asm.ArgMax).apply(null,arguments)},Ib=c._AvgPool=function(){return(Ib=c._AvgPool=c.asm.AvgPool).apply(null,arguments)},Sb=c._BatchMatMul=function(){return(Sb=c._BatchMatMul=c.asm.BatchMatMul).apply(null,arguments)},Tb=c._Ceil=function(){return(Tb=c._Ceil=c.asm.Ceil).apply(null,arguments)},Nb=c._ClipByValue=function(){return(Nb=c._ClipByValue=c.asm.ClipByValue).apply(null,arguments)},Cb=c._Conv2D=function(){return(Cb=c._Conv2D=c.asm.Conv2D).apply(null,arguments)},_b=c._Conv2DBackpropInput=function(){return(_b=c._Conv2DBackpropInput=c.asm.Conv2DBackpropInput).apply(null,arguments)},Eb=c._Cos=function(){return(Eb=c._Cos=c.asm.Cos).apply(null,arguments)},Ab=c._Cosh=function(){return(Ab=c._Cosh=c.asm.Cosh).apply(null,arguments)},$b=c._CropAndResize=function(){return($b=c._CropAndResize=c.asm.CropAndResize).apply(null,arguments)},Fb=c._Cumprod=function(){return(Fb=c._Cumprod=c.asm.Cumprod).apply(null,arguments)},Db=c._Cumsum=function(){return(Db=c._Cumsum=c.asm.Cumsum).apply(null,arguments)},Rb=c._DepthToSpace=function(){return(Rb=c._DepthToSpace=c.asm.DepthToSpace).apply(null,arguments)},Mb=c._DepthwiseConv2dNative=function(){return(Mb=c._DepthwiseConv2dNative=c.asm.DepthwiseConv2dNative).apply(null,arguments)},Pb=c._Elu=function(){return(Pb=c._Elu=c.asm.Elu).apply(null,arguments)},Ob=c._Equal=function(){return(Ob=c._Equal=c.asm.Equal).apply(null,arguments)},Lb=c._Exp=function(){return(Lb=c._Exp=c.asm.Exp).apply(null,arguments)},zb=c._FlipLeftRight=function(){return(zb=c._FlipLeftRight=c.asm.FlipLeftRight).apply(null,arguments)},Wb=c._Floor=function(){return(Wb=c._Floor=c.asm.Floor).apply(null,arguments)},Bb=c._FloorDiv=function(){return(Bb=c._FloorDiv=c.asm.FloorDiv).apply(null,arguments)},Vb=c._FusedBatchNorm=function(){return(Vb=c._FusedBatchNorm=c.asm.FusedBatchNorm).apply(null,arguments)},Ub=c._FusedConv2D=function(){return(Ub=c._FusedConv2D=c.asm.FusedConv2D).apply(null,arguments)},Gb=c._FusedDepthwiseConv2D=function(){return(Gb=c._FusedDepthwiseConv2D=c.asm.FusedDepthwiseConv2D).apply(null,arguments)},Hb=c._Gather=function(){return(Hb=c._Gather=c.asm.Gather).apply(null,arguments)},jb=c._GatherNd=function(){return(jb=c._GatherNd=c.asm.GatherNd).apply(null,arguments)},qb=c._Greater=function(){return(qb=c._Greater=c.asm.Greater).apply(null,arguments)},Kb=c._GreaterEqual=function(){return(Kb=c._GreaterEqual=c.asm.GreaterEqual).apply(null,arguments)},Xb=c._LeakyRelu=function(){return(Xb=c._LeakyRelu=c.asm.LeakyRelu).apply(null,arguments)},Yb=c._Less=function(){return(Yb=c._Less=c.asm.Less).apply(null,arguments)},Zb=c._LessEqual=function(){return(Zb=c._LessEqual=c.asm.LessEqual).apply(null,arguments)},Jb=c._Log=function(){return(Jb=c._Log=c.asm.Log).apply(null,arguments)},Qb=c._LogicalAnd=function(){return(Qb=c._LogicalAnd=c.asm.LogicalAnd).apply(null,arguments)},ey=c._LogicalNot=function(){return(ey=c._LogicalNot=c.asm.LogicalNot).apply(null,arguments)},ty=c._LogicalOr=function(){return(ty=c._LogicalOr=c.asm.LogicalOr).apply(null,arguments)},ny=c._LogicalXor=function(){return(ny=c._LogicalXor=c.asm.LogicalXor).apply(null,arguments)},ay=c._Max=function(){return(ay=c._Max=c.asm.Max).apply(null,arguments)},qd=c._MaxPool=function(){return(qd=c._MaxPool=c.asm.MaxPool).apply(null,arguments)},Kd=c._Maximum=function(){return(Kd=c._Maximum=c.asm.Maximum).apply(null,arguments)},Cp=c._Mean=function(){return(Cp=c._Mean=c.asm.Mean).apply(null,arguments)},ry=c._Min=function(){return(ry=c._Min=c.asm.Min).apply(null,arguments)},sy=c._Minimum=function(){return(sy=c._Minimum=c.asm.Minimum).apply(null,arguments)},Qo=c._MirrorPad=function(){return(Qo=c._MirrorPad=c.asm.MirrorPad).apply(null,arguments)},Xd=c._Multiply=function(){return(Xd=c._Multiply=c.asm.Multiply).apply(null,arguments)},el=c._Neg=function(){return(el=c._Neg=c.asm.Neg).apply(null,arguments)},tl=c._NonMaxSuppressionV3=function(){return(tl=c._NonMaxSuppressionV3=c.asm.NonMaxSuppressionV3).apply(null,arguments)},iy=c._NonMaxSuppressionV4=function(){return(iy=c._NonMaxSuppressionV4=c.asm.NonMaxSuppressionV4).apply(null,arguments)},X=c._NonMaxSuppressionV5=function(){return(X=c._NonMaxSuppressionV5=c.asm.NonMaxSuppressionV5).apply(null,arguments)},se=c._NotEqual=function(){return(se=c._NotEqual=c.asm.NotEqual).apply(null,arguments)},we=c._OneHot=function(){return(we=c._OneHot=c.asm.OneHot).apply(null,arguments)},He=c._PadV2=function(){return(He=c._PadV2=c.asm.PadV2).apply(null,arguments)},wt=c._Pow=function(){return(wt=c._Pow=c.asm.Pow).apply(null,arguments)},kt=c._Prelu=function(){return(kt=c._Prelu=c.asm.Prelu).apply(null,arguments)},Ue=c._Prod=function(){return(Ue=c._Prod=c.asm.Prod).apply(null,arguments)},We=c._RealDiv=function(){return(We=c._RealDiv=c.asm.RealDiv).apply(null,arguments)},Pt=c._Relu=function(){return(Pt=c._Relu=c.asm.Relu).apply(null,arguments)},la=c._Relu6=function(){return(la=c._Relu6=c.asm.Relu6).apply(null,arguments)},wr=c._ResizeBilinear=function(){return(wr=c._ResizeBilinear=c.asm.ResizeBilinear).apply(null,arguments)},Yd=c._ResizeNearestNeighbor=function(){return(Yd=c._ResizeNearestNeighbor=c.asm.ResizeNearestNeighbor).apply(null,arguments)},_p=c._Reverse=function(){return(_p=c._Reverse=c.asm.Reverse).apply(null,arguments)},oy=c._RotateWithOffset=function(){return(oy=c._RotateWithOffset=c.asm.RotateWithOffset).apply(null,arguments)},Mn=c._Round=function(){return(Mn=c._Round=c.asm.Round).apply(null,arguments)},Kr=c._Rsqrt=function(){return(Kr=c._Rsqrt=c.asm.Rsqrt).apply(null,arguments)},Zd=c._ScatterNd=function(){return(Zd=c._ScatterNd=c.asm.ScatterNd).apply(null,arguments)},A$=c._SelectV2=function(){return(A$=c._SelectV2=c.asm.SelectV2).apply(null,arguments)},$$=c._Sigmoid=function(){return($$=c._Sigmoid=c.asm.Sigmoid).apply(null,arguments)},F$=c._Sin=function(){return(F$=c._Sin=c.asm.Sin).apply(null,arguments)},D$=c._Softmax=function(){return(D$=c._Softmax=c.asm.Softmax).apply(null,arguments)},R$=c._SparseFillEmptyRows=function(){return(R$=c._SparseFillEmptyRows=c.asm.SparseFillEmptyRows).apply(null,arguments)},M$=c._SparseReshape=function(){return(M$=c._SparseReshape=c.asm.SparseReshape).apply(null,arguments)},P$=c._SparseSegmentReduction=function(){return(P$=c._SparseSegmentReduction=c.asm.SparseSegmentReduction).apply(null,arguments)},O$=c._Sqrt=function(){return(O$=c._Sqrt=c.asm.Sqrt).apply(null,arguments)},L$=c._Square=function(){return(L$=c._Square=c.asm.Square).apply(null,arguments)},z$=c._SquaredDifference=function(){return(z$=c._SquaredDifference=c.asm.SquaredDifference).apply(null,arguments)},W$=c._Step=function(){return(W$=c._Step=c.asm.Step).apply(null,arguments)},B$=c._StridedSlice=function(){return(B$=c._StridedSlice=c.asm.StridedSlice).apply(null,arguments)},V$=c._Sub=function(){return(V$=c._Sub=c.asm.Sub).apply(null,arguments)},U$=c._Sum=function(){return(U$=c._Sum=c.asm.Sum).apply(null,arguments)},G$=c._Tan=function(){return(G$=c._Tan=c.asm.Tan).apply(null,arguments)},H$=c._Tanh=function(){return(H$=c._Tanh=c.asm.Tanh).apply(null,arguments)},j$=c._Tile=function(){return(j$=c._Tile=c.asm.Tile).apply(null,arguments)},q$=c._TopK=function(){return(q$=c._TopK=c.asm.TopK).apply(null,arguments)},K$=c._Transform=function(){return(K$=c._Transform=c.asm.Transform).apply(null,arguments)},X$=c._Transpose=function(){return(X$=c._Transpose=c.asm.Transpose).apply(null,arguments)},Y$=c.__FusedMatMul=function(){return(Y$=c.__FusedMatMul=c.asm._FusedMatMul).apply(null,arguments)},Z$=c._malloc=function(){return(Z$=c._malloc=c.asm.malloc).apply(null,arguments)},J$=c._free=function(){return(J$=c._free=c.asm.free).apply(null,arguments)},Q$=c.__emscripten_tls_init=function(){return(Q$=c.__emscripten_tls_init=c.asm._emscripten_tls_init).apply(null,arguments)},Jd=c._pthread_self=function(){return(Jd=c._pthread_self=c.asm.pthread_self).apply(null,arguments)},eF=c.___errno_location=function(){return(eF=c.___errno_location=c.asm.__errno_location).apply(null,arguments)},Q1=c.__emscripten_thread_init=function(){return(Q1=c.__emscripten_thread_init=c.asm._emscripten_thread_init).apply(null,arguments)},tF=c.__emscripten_thread_crashed=function(){return(tF=c.__emscripten_thread_crashed=c.asm._emscripten_thread_crashed).apply(null,arguments)},nF=c._emscripten_main_thread_process_queued_calls=function(){return(nF=c._emscripten_main_thread_process_queued_calls=c.asm.emscripten_main_thread_process_queued_calls).apply(null,arguments)},aF=c._emscripten_main_browser_thread_id=function(){return(aF=c._emscripten_main_browser_thread_id=c.asm.emscripten_main_browser_thread_id).apply(null,arguments)},ek=c._emscripten_run_in_main_runtime_thread_js=function(){return(ek=c._emscripten_run_in_main_runtime_thread_js=c.asm.emscripten_run_in_main_runtime_thread_js).apply(null,arguments)},rF=c._emscripten_dispatch_to_thread_=function(){return(rF=c._emscripten_dispatch_to_thread_=c.asm.emscripten_dispatch_to_thread_).apply(null,arguments)},tk=c.__emscripten_proxy_execute_task_queue=function(){return(tk=c.__emscripten_proxy_execute_task_queue=c.asm._emscripten_proxy_execute_task_queue).apply(null,arguments)},ly=c.__emscripten_thread_free_data=function(){return(ly=c.__emscripten_thread_free_data=c.asm._emscripten_thread_free_data).apply(null,arguments)},nk=c.__emscripten_thread_exit=function(){return(nk=c.__emscripten_thread_exit=c.asm._emscripten_thread_exit).apply(null,arguments)},ak=c._emscripten_stack_set_limits=function(){return(ak=c._emscripten_stack_set_limits=c.asm.emscripten_stack_set_limits).apply(null,arguments)},uy=c.stackSave=function(){return(uy=c.stackSave=c.asm.stackSave).apply(null,arguments)},Qd=c.stackRestore=function(){return(Qd=c.stackRestore=c.asm.stackRestore).apply(null,arguments)},eh=c.stackAlloc=function(){return(eh=c.stackAlloc=c.asm.stackAlloc).apply(null,arguments)},sF=c.dynCall_iijjiiii=function(){return(sF=c.dynCall_iijjiiii=c.asm.dynCall_iijjiiii).apply(null,arguments)},iF=c.dynCall_jiji=function(){return(iF=c.dynCall_jiji=c.asm.dynCall_jiji).apply(null,arguments)};c.keepRuntimeAlive=Ia,c.wasmMemory=ue,c.cwrap=lb,c.ExitStatus=Ms,c.PThread=$e;var th;vr=function D(){th||rk(),th||(vr=D)};function rk(D){if(D=D||b,jr>0)return;if(C){h(c),Xt(),postMessage({cmd:"loaded"});return}if(Ko(),jr>0)return;function j(){th||(th=!0,c.calledRun=!0,!Ie&&(Xt(),h(c),c.onRuntimeInitialized&&c.onRuntimeInitialized(),Fd()))}c.setStatus?(c.setStatus("Running..."),setTimeout(function(){setTimeout(function(){c.setStatus("")},1),j()},1)):j()}if(c.preInit)for(typeof c.preInit=="function"&&(c.preInit=[c.preInit]);c.preInit.length>0;)c.preInit.pop()();rk();var nh;f&&(nh={uncaughtException:process.listeners("uncaughtException").filter(function(D){return!f.uncaughtException.indexOf(D)>-1}),unhandledRejection:process.listeners("unhandledRejection").filter(function(D){return!f.unhandledRejection.indexOf(D)>-1})});var ah;if(typeof WasmBackendModule!="undefined")ah=WasmBackendModule;else if(typeof r!="undefined")ah=r;else throw new Error("Could not find wasm module in post.js");if(nh){var oF=ah._dispose;ah._dispose=function(){oF(),nh.uncaughtException.forEach(function(D){process.removeListener("uncaughtException",D)}),nh.unhandledRejection.forEach(function(D){process.removeListener("unhandledRejection",D)})}}return r.ready}})();typeof e=="object"&&typeof t=="object"?t.exports=n:typeof define=="function"&&define.amd?define([],function(){return n}):typeof e=="object"&&(e.WasmBackendModuleThreadedSimd=n)}),MF=Bt((e,t)=>{t.exports.wasmWorkerContents=`"use strict";var Module={};var ENVIRONMENT_IS_NODE=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string";if(ENVIRONMENT_IS_NODE){var nodeWorkerThreads=require("worker_threads");var parentPort=nodeWorkerThreads.parentPort;parentPort.on("message",data=>onmessage({data:data}));var fs=require("fs");Object.assign(global,{self:global,require:require,Module:Module,location:{href:__filename},Worker:nodeWorkerThreads.Worker,importScripts:function(f){(0,eval)(fs.readFileSync(f,"utf8"))},postMessage:function(msg){parentPort.postMessage(msg)},performance:global.performance||{now:function(){return Date.now()}}})}var initializedJS=false;var pendingNotifiedProxyingQueues=[];function threadPrintErr(){var text=Array.prototype.slice.call(arguments).join(" ");if(ENVIRONMENT_IS_NODE){fs.writeSync(2,text+" +");return}console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(" ");postMessage({cmd:"alert",text:text,threadId:Module["_pthread_self"]()})}var err=threadPrintErr;self.alert=threadAlert;Module["instantiateWasm"]=(info,receiveInstance)=>{var instance=new WebAssembly.Instance(Module["wasmModule"],info);receiveInstance(instance);Module["wasmModule"]=null;return instance.exports};self.onunhandledrejection=e=>{throw e.reason??e};self.onmessage=e=>{try{if(e.data.cmd==="load"){Module["wasmModule"]=e.data.wasmModule;Module["wasmMemory"]=e.data.wasmMemory;Module["buffer"]=Module["wasmMemory"].buffer;Module["ENVIRONMENT_IS_PTHREAD"]=true;if(typeof e.data.urlOrBlob=="string"){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}WasmBackendModuleThreadedSimd(Module).then(function(instance){Module=instance})}else if(e.data.cmd==="run"){Module["__performance_now_clock_drift"]=performance.now()-e.data.time;Module["__emscripten_thread_init"](e.data.pthread_ptr,0,0,1);Module["establishStackSpace"]();Module["PThread"].receiveObjectTransfer(e.data);Module["PThread"].threadInitTLS();if(!initializedJS){pendingNotifiedProxyingQueues.forEach(queue=>{Module["executeNotifiedProxyingQueue"](queue)});pendingNotifiedProxyingQueues=[];initializedJS=true}try{Module["invokeEntryPoint"](e.data.start_routine,e.data.arg)}catch(ex){if(ex!="unwind"){if(ex instanceof Module["ExitStatus"]){if(Module["keepRuntimeAlive"]()){}else{Module["__emscripten_thread_exit"](ex.status)}}else{throw ex}}}}else if(e.data.cmd==="cancel"){if(Module["_pthread_self"]()){Module["__emscripten_thread_exit"](-1)}}else if(e.data.target==="setimmediate"){}else if(e.data.cmd==="processProxyingQueue"){if(initializedJS){Module["executeNotifiedProxyingQueue"](e.data.queue)}else{pendingNotifiedProxyingQueues.push(e.data.queue)}}else if(e.data.cmd){err("worker.js received unknown command "+e.data.cmd);err(e.data)}}catch(ex){if(Module["__emscripten_thread_crashed"]){Module["__emscripten_thread_crashed"]()}throw ex}};`}),PF=Bt((e,t)=>{var n=(()=>{var a=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(a=a||__filename),function(r){r=r||{};var s=typeof r!="undefined"?r:{},i,o;s.ready=new Promise(function(X,se){i=X,o=se});var l;typeof process!="undefined"&&process.listeners&&(l={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var u=Object.assign({},s),p=[],d="./this.program",c=(X,se)=>{throw se},h=typeof window=="object",m=typeof importScripts=="function",f=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",g="";function b(X){return s.locateFile?s.locateFile(X,g):g+X}var y,x,w,I;function T(X){X instanceof Xo||R("exiting due to exception: "+X)}if(f){m?g=Ch().dirname(g)+"/":g=__dirname+"/";var C,E;typeof WI=="function"&&(C=Cx(),E=Ch()),y=(X,se)=>(X=E.normalize(X),C.readFileSync(X,se?void 0:"utf8")),w=X=>{var se=y(X,!0);return se.buffer||(se=new Uint8Array(se)),se},x=(X,se,we)=>{X=E.normalize(X),C.readFile(X,function(He,wt){He?we(He):se(wt.buffer)})},process.argv.length>1&&(d=process.argv[1].replace(/\\/g,"/")),p=process.argv.slice(2),process.on("uncaughtException",function(X){if(!(X instanceof Xo))throw X}),process.on("unhandledRejection",function(X){throw X}),c=(X,se)=>{if(jn())throw process.exitCode=X,se;T(se),process.exit(X)},s.inspect=function(){return"[Emscripten Module object]"}}else(h||m)&&(m?g=self.location.href:typeof document!="undefined"&&document.currentScript&&(g=document.currentScript.src),a&&(g=a),g.indexOf("blob:")!==0?g=g.substr(0,g.replace(/[?#].*/,"").lastIndexOf("/")+1):g="",y=X=>{var se=new XMLHttpRequest;return se.open("GET",X,!1),se.send(null),se.responseText},m&&(w=X=>{var se=new XMLHttpRequest;return se.open("GET",X,!1),se.responseType="arraybuffer",se.send(null),new Uint8Array(se.response)}),x=(X,se,we)=>{var He=new XMLHttpRequest;He.open("GET",X,!0),He.responseType="arraybuffer",He.onload=()=>{if(He.status==200||He.status==0&&He.response){se(He.response);return}we()},He.onerror=we,He.send(null)},I=X=>document.title=X);var A=s.print||console.log.bind(console),R=s.printErr||console.warn.bind(console);Object.assign(s,u),u=null,s.arguments&&(p=s.arguments),s.thisProgram&&(d=s.thisProgram),s.quit&&(c=s.quit);var F=4,S;s.wasmBinary&&(S=s.wasmBinary);var M=s.noExitRuntime||!0;typeof WebAssembly!="object"&&er("no native wasm support detected");var B,U=!1,G;function q(X,se){X||er(se)}var K=typeof TextDecoder!="undefined"?new TextDecoder("utf8"):void 0;function Z(X,se,we){for(var He=se+we,wt=se;X[wt]&&!(wt>=He);)++wt;if(wt-se>16&&X.buffer&&K)return K.decode(X.subarray(se,wt));for(var kt="";se>10,56320|la&1023)}}return kt}function Q(X,se){return X?Z(ie,X,se):""}function ee(X,se,we,He){if(!(He>0))return 0;for(var wt=we,kt=we+He-1,Ue=0;Ue=55296&&We<=57343){var Pt=X.charCodeAt(++Ue);We=65536+((We&1023)<<10)|Pt&1023}if(We<=127){if(we>=kt)break;se[we++]=We}else if(We<=2047){if(we+1>=kt)break;se[we++]=192|We>>6,se[we++]=128|We&63}else if(We<=65535){if(we+2>=kt)break;se[we++]=224|We>>12,se[we++]=128|We>>6&63,se[we++]=128|We&63}else{if(we+3>=kt)break;se[we++]=240|We>>18,se[we++]=128|We>>12&63,se[we++]=128|We>>6&63,se[we++]=128|We&63}}return se[we]=0,we-wt}function ae(X,se,we){return ee(X,ie,se,we)}var te,le,ie,be,ue,xe,Ie,Se,Le;function Ve(X){te=X,s.HEAP8=le=new Int8Array(X),s.HEAP16=be=new Int16Array(X),s.HEAP32=xe=new Int32Array(X),s.HEAPU8=ie=new Uint8Array(X),s.HEAPU16=ue=new Uint16Array(X),s.HEAPU32=Ie=new Uint32Array(X),s.HEAPF32=Se=new Float32Array(X),s.HEAPF64=Le=new Float64Array(X)}var nt=s.INITIAL_MEMORY||16777216,it,et=[],at=[],ze=[],dt=!1;function jn(){return M}function Mt(){if(s.preRun)for(typeof s.preRun=="function"&&(s.preRun=[s.preRun]);s.preRun.length;)Fn(s.preRun.shift());vr(et)}function ia(){dt=!0,vr(at)}function on(){if(s.postRun)for(typeof s.postRun=="function"&&(s.postRun=[s.postRun]);s.postRun.length;)Dn(s.postRun.shift());vr(ze)}function Fn(X){et.unshift(X)}function oa(X){at.unshift(X)}function Dn(X){ze.unshift(X)}var ot=0,Rn=null,qn=null;function xr(X){ot++,s.monitorRunDependencies&&s.monitorRunDependencies(ot)}function qo(X){if(ot--,s.monitorRunDependencies&&s.monitorRunDependencies(ot),ot==0&&(Rn!==null&&(clearInterval(Rn),Rn=null),qn)){var se=qn;qn=null,se()}}function er(X){s.onAbort&&s.onAbort(X),X="Aborted("+X+")",R(X),U=!0,G=1,X+=". Build with -sASSERTIONS for more info.";var se=new WebAssembly.RuntimeError(X);throw o(se),se}var vp="data:application/octet-stream;base64,";function Ia(X){return X.startsWith(vp)}function Ko(X){return X.startsWith("file://")}var Xt;Xt="tfjs-backend-wasm.wasm",Ia(Xt)||(Xt=b(Xt));function Fd(X){try{if(X==Xt&&S)return new Uint8Array(S);if(w)return w(X);throw"both async and sync fetching of the wasm failed"}catch(se){er(se)}}function Ng(){if(!S&&(h||m)){if(typeof fetch=="function"&&!Ko(Xt))return fetch(Xt,{credentials:"same-origin"}).then(function(X){if(!X.ok)throw"failed to load wasm binary file at '"+Xt+"'";return X.arrayBuffer()}).catch(function(){return Fd(Xt)});if(x)return new Promise(function(X,se){x(Xt,function(we){X(new Uint8Array(we))},se)})}return Promise.resolve().then(function(){return Fd(Xt)})}function Cg(){var X={env:Ip,wasi_snapshot_preview1:Ip};function se(Ue,We){var Pt=Ue.exports;s.asm=Pt,B=s.asm.memory,Ve(B.buffer),it=s.asm.__indirect_function_table,oa(s.asm.__wasm_call_ctors),qo("wasm-instantiate")}xr("wasm-instantiate");function we(Ue){se(Ue.instance)}function He(Ue){return Ng().then(function(We){return WebAssembly.instantiate(We,X)}).then(function(We){return We}).then(Ue,function(We){R("failed to asynchronously prepare wasm: "+We),er(We)})}function wt(){return!S&&typeof WebAssembly.instantiateStreaming=="function"&&!Ia(Xt)&&!Ko(Xt)&&!f&&typeof fetch=="function"?fetch(Xt,{credentials:"same-origin"}).then(function(Ue){var We=WebAssembly.instantiateStreaming(Ue,X);return We.then(we,function(Pt){return R("wasm streaming compile failed: "+Pt),R("falling back to ArrayBuffer instantiation"),He(we)})}):He(we)}if(s.instantiateWasm)try{var kt=s.instantiateWasm(X,se);return kt}catch(Ue){R("Module.instantiateWasm callback failed with error: "+Ue),o(Ue)}return wt().catch(o),{}}var G1,jr;function Xo(X){this.name="ExitStatus",this.message="Program terminated with exit("+X+")",this.status=X}function vr(X){for(;X.length>0;)X.shift()(s)}function H1(X){return X}function j1(X){var se=/\b_Z[\w\d_]+/g;return X.replace(se,function(we){var He=we;return we===He?we:He+" ["+we+"]"})}function Yo(){var X=new Error;if(!X.stack){try{throw new Error}catch(se){X=se}if(!X.stack)return"(no stack trace available)"}return X.stack.toString()}function _g(X,se){le.set(X,se)}function Dd(){er("")}function wp(){return 2147483648}function yn(){return wp()}function Rd(X,se,we){ie.copyWithin(X,se,se+we)}function Eg(X){try{return B.grow(X-te.byteLength+65535>>>16),Ve(B.buffer),1}catch(se){}}function Ag(X){var se=ie.length;X=X>>>0;var we=wp();if(X>we)return!1;let He=(Pt,la)=>Pt+(la-Pt%la)%la;for(var wt=1;wt<=4;wt*=2){var kt=se*(1+.2/wt);kt=Math.min(kt,X+100663296);var Ue=Math.min(we,He(Math.max(X,kt),65536)),We=Eg(Ue);if(We)return!0}return!1}var $g={varargs:void 0,get:function(){$g.varargs+=4;var X=xe[$g.varargs-4>>2];return X},getStr:function(X){var se=Q(X);return se}};function q1(X){return 52}function Fg(X,se,we,He,wt){return 70}var Ms=[null,[],[]];function Dg(X,se){var we=Ms[X];se===0||se===10?((X===1?A:R)(Z(we,0)),we.length=0):we.push(se)}function Rg(X,se,we,He){for(var wt=0,kt=0;kt>2],We=Ie[se+4>>2];se+=8;for(var Pt=0;Pt>2]=wt,0}function kp(X){var se=s["_"+X];return se}function Md(X,se,we,He,wt){var kt={string:Mn=>{var Kr=0;if(Mn!=null&&Mn!==0){var Zd=(Mn.length<<2)+1;Kr=Cp(Zd),ae(Mn,Kr,Zd)}return Kr},array:Mn=>{var Kr=Cp(Mn.length);return _g(Mn,Kr),Kr}};function Ue(Mn){return se==="string"?Q(Mn):se==="boolean"?Boolean(Mn):Mn}var We=kp(X),Pt=[],la=0;if(He)for(var wr=0;wrUe==="number"||Ue==="boolean"),kt=se!=="string";return kt&&wt&&!He?kp(X):function(){return Md(X,se,we,arguments,He)}}var Ip={abort:Dd,emscripten_get_heap_max:yn,emscripten_memcpy_big:Rd,emscripten_resize_heap:Ag,fd_close:q1,fd_seek:Fg,fd_write:Rg},K1=Cg(),Od=s.___wasm_call_ctors=function(){return(Od=s.___wasm_call_ctors=s.asm.__wasm_call_ctors).apply(null,arguments)},Mg=s._init=function(){return(Mg=s._init=s.asm.init).apply(null,arguments)},$e=s._init_with_threads_count=function(){return($e=s._init_with_threads_count=s.asm.init_with_threads_count).apply(null,arguments)},Sp=s._get_threads_count=function(){return(Sp=s._get_threads_count=s.asm.get_threads_count).apply(null,arguments)},Pg=s._register_tensor=function(){return(Pg=s._register_tensor=s.asm.register_tensor).apply(null,arguments)},X1=s._dispose_data=function(){return(X1=s._dispose_data=s.asm.dispose_data).apply(null,arguments)},Y1=s._dispose=function(){return(Y1=s._dispose=s.asm.dispose).apply(null,arguments)},Og=s._Abs=function(){return(Og=s._Abs=s.asm.Abs).apply(null,arguments)},Ld=s._Add=function(){return(Ld=s._Add=s.asm.Add).apply(null,arguments)},Zo=s._AddN=function(){return(Zo=s._AddN=s.asm.AddN).apply(null,arguments)},Lg=s._All=function(){return(Lg=s._All=s.asm.All).apply(null,arguments)},zg=s._Any=function(){return(zg=s._Any=s.asm.Any).apply(null,arguments)},Z1=s._ArgMax=function(){return(Z1=s._ArgMax=s.asm.ArgMax).apply(null,arguments)},Wg=s._AvgPool=function(){return(Wg=s._AvgPool=s.asm.AvgPool).apply(null,arguments)},Bg=s._BatchMatMul=function(){return(Bg=s._BatchMatMul=s.asm.BatchMatMul).apply(null,arguments)},Vg=s._Ceil=function(){return(Vg=s._Ceil=s.asm.Ceil).apply(null,arguments)},Ug=s._ClipByValue=function(){return(Ug=s._ClipByValue=s.asm.ClipByValue).apply(null,arguments)},zd=s._Conv2D=function(){return(zd=s._Conv2D=s.asm.Conv2D).apply(null,arguments)},Wd=s._Conv2DBackpropInput=function(){return(Wd=s._Conv2DBackpropInput=s.asm.Conv2DBackpropInput).apply(null,arguments)},Gg=s._Cos=function(){return(Gg=s._Cos=s.asm.Cos).apply(null,arguments)},Hg=s._Cosh=function(){return(Hg=s._Cosh=s.asm.Cosh).apply(null,arguments)},jg=s._CropAndResize=function(){return(jg=s._CropAndResize=s.asm.CropAndResize).apply(null,arguments)},Tp=s._Cumprod=function(){return(Tp=s._Cumprod=s.asm.Cumprod).apply(null,arguments)},qg=s._Cumsum=function(){return(qg=s._Cumsum=s.asm.Cumsum).apply(null,arguments)},Kg=s._DepthToSpace=function(){return(Kg=s._DepthToSpace=s.asm.DepthToSpace).apply(null,arguments)},Xg=s._DepthwiseConv2dNative=function(){return(Xg=s._DepthwiseConv2dNative=s.asm.DepthwiseConv2dNative).apply(null,arguments)},Ps=s._Elu=function(){return(Ps=s._Elu=s.asm.Elu).apply(null,arguments)},Yg=s._Equal=function(){return(Yg=s._Equal=s.asm.Equal).apply(null,arguments)},Zg=s._Exp=function(){return(Zg=s._Exp=s.asm.Exp).apply(null,arguments)},Bd=s._FlipLeftRight=function(){return(Bd=s._FlipLeftRight=s.asm.FlipLeftRight).apply(null,arguments)},Jg=s._Floor=function(){return(Jg=s._Floor=s.asm.Floor).apply(null,arguments)},Jo=s._FloorDiv=function(){return(Jo=s._FloorDiv=s.asm.FloorDiv).apply(null,arguments)},Qg=s._FusedBatchNorm=function(){return(Qg=s._FusedBatchNorm=s.asm.FusedBatchNorm).apply(null,arguments)},eb=s._FusedConv2D=function(){return(eb=s._FusedConv2D=s.asm.FusedConv2D).apply(null,arguments)},qr=s._FusedDepthwiseConv2D=function(){return(qr=s._FusedDepthwiseConv2D=s.asm.FusedDepthwiseConv2D).apply(null,arguments)},Np=s._Gather=function(){return(Np=s._Gather=s.asm.Gather).apply(null,arguments)},tb=s._GatherNd=function(){return(tb=s._GatherNd=s.asm.GatherNd).apply(null,arguments)},nb=s._Greater=function(){return(nb=s._Greater=s.asm.Greater).apply(null,arguments)},ab=s._GreaterEqual=function(){return(ab=s._GreaterEqual=s.asm.GreaterEqual).apply(null,arguments)},rb=s._LeakyRelu=function(){return(rb=s._LeakyRelu=s.asm.LeakyRelu).apply(null,arguments)},Vd=s._Less=function(){return(Vd=s._Less=s.asm.Less).apply(null,arguments)},Ud=s._LessEqual=function(){return(Ud=s._LessEqual=s.asm.LessEqual).apply(null,arguments)},sb=s._Log=function(){return(sb=s._Log=s.asm.Log).apply(null,arguments)},ib=s._LogicalAnd=function(){return(ib=s._LogicalAnd=s.asm.LogicalAnd).apply(null,arguments)},Gd=s._LogicalNot=function(){return(Gd=s._LogicalNot=s.asm.LogicalNot).apply(null,arguments)},Hd=s._LogicalOr=function(){return(Hd=s._LogicalOr=s.asm.LogicalOr).apply(null,arguments)},ob=s._LogicalXor=function(){return(ob=s._LogicalXor=s.asm.LogicalXor).apply(null,arguments)},lb=s._Max=function(){return(lb=s._Max=s.asm.Max).apply(null,arguments)},ub=s._MaxPool=function(){return(ub=s._MaxPool=s.asm.MaxPool).apply(null,arguments)},jd=s._Maximum=function(){return(jd=s._Maximum=s.asm.Maximum).apply(null,arguments)},J1=s._Mean=function(){return(J1=s._Mean=s.asm.Mean).apply(null,arguments)},pb=s._Min=function(){return(pb=s._Min=s.asm.Min).apply(null,arguments)},cb=s._Minimum=function(){return(cb=s._Minimum=s.asm.Minimum).apply(null,arguments)},db=s._MirrorPad=function(){return(db=s._MirrorPad=s.asm.MirrorPad).apply(null,arguments)},hb=s._Multiply=function(){return(hb=s._Multiply=s.asm.Multiply).apply(null,arguments)},mb=s._Neg=function(){return(mb=s._Neg=s.asm.Neg).apply(null,arguments)},fb=s._NonMaxSuppressionV3=function(){return(fb=s._NonMaxSuppressionV3=s.asm.NonMaxSuppressionV3).apply(null,arguments)},gb=s._NonMaxSuppressionV4=function(){return(gb=s._NonMaxSuppressionV4=s.asm.NonMaxSuppressionV4).apply(null,arguments)},bb=s._NonMaxSuppressionV5=function(){return(bb=s._NonMaxSuppressionV5=s.asm.NonMaxSuppressionV5).apply(null,arguments)},yb=s._NotEqual=function(){return(yb=s._NotEqual=s.asm.NotEqual).apply(null,arguments)},xb=s._OneHot=function(){return(xb=s._OneHot=s.asm.OneHot).apply(null,arguments)},vb=s._PadV2=function(){return(vb=s._PadV2=s.asm.PadV2).apply(null,arguments)},wb=s._Pow=function(){return(wb=s._Pow=s.asm.Pow).apply(null,arguments)},kb=s._Prelu=function(){return(kb=s._Prelu=s.asm.Prelu).apply(null,arguments)},Ib=s._Prod=function(){return(Ib=s._Prod=s.asm.Prod).apply(null,arguments)},Sb=s._RealDiv=function(){return(Sb=s._RealDiv=s.asm.RealDiv).apply(null,arguments)},Tb=s._Relu=function(){return(Tb=s._Relu=s.asm.Relu).apply(null,arguments)},Nb=s._Relu6=function(){return(Nb=s._Relu6=s.asm.Relu6).apply(null,arguments)},Cb=s._ResizeBilinear=function(){return(Cb=s._ResizeBilinear=s.asm.ResizeBilinear).apply(null,arguments)},_b=s._ResizeNearestNeighbor=function(){return(_b=s._ResizeNearestNeighbor=s.asm.ResizeNearestNeighbor).apply(null,arguments)},Eb=s._Reverse=function(){return(Eb=s._Reverse=s.asm.Reverse).apply(null,arguments)},Ab=s._RotateWithOffset=function(){return(Ab=s._RotateWithOffset=s.asm.RotateWithOffset).apply(null,arguments)},$b=s._Round=function(){return($b=s._Round=s.asm.Round).apply(null,arguments)},Fb=s._Rsqrt=function(){return(Fb=s._Rsqrt=s.asm.Rsqrt).apply(null,arguments)},Db=s._ScatterNd=function(){return(Db=s._ScatterNd=s.asm.ScatterNd).apply(null,arguments)},Rb=s._SelectV2=function(){return(Rb=s._SelectV2=s.asm.SelectV2).apply(null,arguments)},Mb=s._Sigmoid=function(){return(Mb=s._Sigmoid=s.asm.Sigmoid).apply(null,arguments)},Pb=s._Sin=function(){return(Pb=s._Sin=s.asm.Sin).apply(null,arguments)},Ob=s._Softmax=function(){return(Ob=s._Softmax=s.asm.Softmax).apply(null,arguments)},Lb=s._SparseFillEmptyRows=function(){return(Lb=s._SparseFillEmptyRows=s.asm.SparseFillEmptyRows).apply(null,arguments)},zb=s._SparseReshape=function(){return(zb=s._SparseReshape=s.asm.SparseReshape).apply(null,arguments)},Wb=s._SparseSegmentReduction=function(){return(Wb=s._SparseSegmentReduction=s.asm.SparseSegmentReduction).apply(null,arguments)},Bb=s._Sqrt=function(){return(Bb=s._Sqrt=s.asm.Sqrt).apply(null,arguments)},Vb=s._Square=function(){return(Vb=s._Square=s.asm.Square).apply(null,arguments)},Ub=s._SquaredDifference=function(){return(Ub=s._SquaredDifference=s.asm.SquaredDifference).apply(null,arguments)},Gb=s._Step=function(){return(Gb=s._Step=s.asm.Step).apply(null,arguments)},Hb=s._StridedSlice=function(){return(Hb=s._StridedSlice=s.asm.StridedSlice).apply(null,arguments)},jb=s._Sub=function(){return(jb=s._Sub=s.asm.Sub).apply(null,arguments)},qb=s._Sum=function(){return(qb=s._Sum=s.asm.Sum).apply(null,arguments)},Kb=s._Tan=function(){return(Kb=s._Tan=s.asm.Tan).apply(null,arguments)},Xb=s._Tanh=function(){return(Xb=s._Tanh=s.asm.Tanh).apply(null,arguments)},Yb=s._Tile=function(){return(Yb=s._Tile=s.asm.Tile).apply(null,arguments)},Zb=s._TopK=function(){return(Zb=s._TopK=s.asm.TopK).apply(null,arguments)},Jb=s._Transform=function(){return(Jb=s._Transform=s.asm.Transform).apply(null,arguments)},Qb=s._Transpose=function(){return(Qb=s._Transpose=s.asm.Transpose).apply(null,arguments)},ey=s.__FusedMatMul=function(){return(ey=s.__FusedMatMul=s.asm._FusedMatMul).apply(null,arguments)},ty=s._malloc=function(){return(ty=s._malloc=s.asm.malloc).apply(null,arguments)},ny=s._free=function(){return(ny=s._free=s.asm.free).apply(null,arguments)},ay=s.___errno_location=function(){return(ay=s.___errno_location=s.asm.__errno_location).apply(null,arguments)},qd=s.stackSave=function(){return(qd=s.stackSave=s.asm.stackSave).apply(null,arguments)},Kd=s.stackRestore=function(){return(Kd=s.stackRestore=s.asm.stackRestore).apply(null,arguments)},Cp=s.stackAlloc=function(){return(Cp=s.stackAlloc=s.asm.stackAlloc).apply(null,arguments)},ry=s.dynCall_iijjiiii=function(){return(ry=s.dynCall_iijjiiii=s.asm.dynCall_iijjiiii).apply(null,arguments)},sy=s.dynCall_jiji=function(){return(sy=s.dynCall_jiji=s.asm.dynCall_jiji).apply(null,arguments)};s.cwrap=Pd;var Qo;qn=function X(){Qo||Xd(),Qo||(qn=X)};function Xd(X){if(X=X||p,ot>0||(Mt(),ot>0))return;function se(){Qo||(Qo=!0,s.calledRun=!0,!U&&(ia(),i(s),s.onRuntimeInitialized&&s.onRuntimeInitialized(),on()))}s.setStatus?(s.setStatus("Running..."),setTimeout(function(){setTimeout(function(){s.setStatus("")},1),se()},1)):se()}if(s.preInit)for(typeof s.preInit=="function"&&(s.preInit=[s.preInit]);s.preInit.length>0;)s.preInit.pop()();Xd();var el;l&&(el={uncaughtException:process.listeners("uncaughtException").filter(function(X){return!l.uncaughtException.indexOf(X)>-1}),unhandledRejection:process.listeners("unhandledRejection").filter(function(X){return!l.unhandledRejection.indexOf(X)>-1})});var tl;if(typeof r!="undefined")tl=r;else if(typeof WasmBackendModuleThreadedSimd!="undefined")tl=WasmBackendModuleThreadedSimd;else throw new Error("Could not find wasm module in post.js");if(el){var iy=tl._dispose;tl._dispose=function(){iy(),el.uncaughtException.forEach(function(X){process.removeListener("uncaughtException",X)}),el.unhandledRejection.forEach(function(X){process.removeListener("unhandledRejection",X)})}}return r.ready}})();typeof e=="object"&&typeof t=="object"?t.exports=n:typeof define=="function"&&define.amd?define([],function(){return n}):typeof e=="object"&&(e.WasmBackendModule=n)}),om=class{constructor(e,t){this.backend=e,this.dataMover=t,this.data=new WeakMap,this.dataIdsCount=0}get(e){return this.data.has(e)||this.dataMover.moveData(this.backend,e),this.data.get(e)}set(e,t){this.dataIdsCount++,this.data.set(e,t)}has(e){return this.data.has(e)}delete(e){return this.dataIdsCount--,this.data.delete(e)}numDataIds(){return this.dataIdsCount}},pc=class{refCount(e){return Kn("refCount")}incRef(e){return Kn("incRef")}timerAvailable(){return!0}time(e){return Kn("time")}read(e){return Kn("read")}readSync(e){return Kn("readSync")}readToGPU(e,t){return Kn("readToGPU")}numDataIds(){return Kn("numDataIds")}disposeData(e,t){return Kn("disposeData")}write(e,t,n){return Kn("write")}move(e,t,n,a,r){return Kn("move")}createTensorFromTexture(e,t,n){return Kn("createTensorFromTexture")}memory(){return Kn("memory")}floatPrecision(){return Kn("floatPrecision")}epsilon(){return this.floatPrecision()===32?1e-7:1e-4}dispose(){return Kn("dispose")}};function Kn(e){throw new Error(`'${e}' not yet implemented or not found in the registry. This kernel may not be supported by the tfjs backend you have chosen`)}function VI(e){let t=e.length,n=0;for(;t>0;)n=Math.random()*t|0,t--,_h(e,t,n)}function OF(e,t){if(e.length!==t.length)throw new Error(`Array sizes must match to be shuffled together First array length was ${e.length}Second array length was ${t.length}`);let n=e.length,a=0;for(;n>0;)a=Math.random()*n|0,n--,_h(e,n,a),_h(t,n,a)}function Kp(e,t,n){return Math.max(e,Math.min(t,n))}function LF(e){return e%2===0?e:e+1}function _h(e,t,n){let a=e[t];e[t]=e[n],e[n]=a}function zF(e){let t=0;for(let n=0;nn+` Shapes ${e} and ${t} must match`)}function mi(e){$(e!=null,()=>"The input to the tensor constructor must be a non-null value.")}function Js(e,t=[],n=!1){if(t==null&&(t=[]),Array.isArray(e)||hn(e)&&!n)for(let a=0;a0,n,a){return new Promise((r,s)=>{let i=0,o=()=>{if(e()){r();return}i++;let l=t(i);if(n!=null&&i>=n){s();return}a!=null?a(o,l):setTimeout(o,l)};o()})}function qF(e,t){let n=1,a=-1;for(let s=0;s=0)n*=e[s];else if(e[s]===-1){if(a!==-1)throw Error(`Shapes can only have 1 implicit size. Found -1 at dim ${a} and dim ${s}`);a=s}else if(e[s]<0)throw Error(`Shapes can not be < 0. Found ${e[s]} at dim ${s}`);if(a===-1){if(t>0&&t!==n)throw Error(`Size(${t}) must match the product of shape ${e}`);return e}if(n===0)throw Error(`Cannot infer the missing size in [${e}] when there are 0 elements`);if(t%n!==0)throw Error(`The implicit shape can't be a fractional number. Got ${t} / ${n}`);let r=e.slice();return r[a]=t/n,r}function Fa(e,t){let n=t.length;return e=e==null?t.map((a,r)=>r):[].concat(e),$(e.every(a=>a>=-n&&a`All values in axis param must be in range [-${n}, ${n}) but got axis ${e}`),$(e.every(a=>hl(a)),()=>`All values in axis param must be integers but got axis ${e}`),e.map(a=>a<0?n+a:a)}function UI(e,t){let n=[],a=[],r=t!=null&&Array.isArray(t)&&t.length===0,s=t==null||r?null:Fa(t,e).sort(),i=0;for(let o=0;oo)&&e[o]===1&&(n.push(e[o]),a.push(o)),s[i]<=o&&i++}e[o]!==1&&(n.push(e[o]),a.push(o))}return{newShape:n,keptDims:a}}function GI(e,t){let n=null;if(e==null||e==="float32")n=new Float32Array(t);else if(e==="int32")n=new Int32Array(t);else if(e==="bool")n=new Uint8Array(t);else throw new Error(`Unknown data type ${e}`);return n}function HI(e,t){let n=null;if(e==null||e==="float32")n=new Float32Array(t);else if(e==="int32")n=new Int32Array(t);else if(e==="bool")n=new Uint8Array(t);else if(e==="string")n=new Array(t);else throw new Error(`Unknown data type ${e}`);return n}function jI(e,t){for(let n=0;nt+=n.length),t}function Qr(e){return typeof e=="string"||e instanceof String}function XI(e){return typeof e=="boolean"}function YI(e){return typeof e=="number"}function lm(e){return Array.isArray(e)?lm(e[0]):e instanceof Float32Array?"float32":e instanceof Int32Array||e instanceof Uint8Array||e instanceof Uint8ClampedArray?"int32":YI(e)?"float32":Qr(e)?"string":XI(e)?"bool":"float32"}function ss(e){return!!(e&&e.constructor&&e.call&&e.apply)}function Eh(e,t){for(let n=t;n=0;--a)n[a]=n[a+1]*e[a+1];return n}function ZI(e,t,n,a=!1){let r=new Array;if(t.length===1){let s=t[0]*(a?2:1);for(let i=0;il*u)*(a?2:1);for(let l=0;lr*s)*(n?2:1);if(a===0)return[];if(a!==t.length)throw new Error(`[${e}] does not match the input size ${t.length}${n?" for a complex tensor":""}.`);return ZI(0,e,t,n)}function _x(e,t){let n=um(e,t);for(let a=0;aa*r,1);if(t==null||t==="float32")return ul(e,new Float32Array(n));if(t==="int32")return ul(e,new Int32Array(n));if(t==="bool")return ul(e,new Uint8Array(n));throw new Error(`Unknown data type ${t}`)}function Ex(e){e.forEach(t=>{$(Number.isInteger(t)&&t>=0,()=>`Tensor must have a shape comprised of positive integers but got shape [${e}].`)})}function YF(e,t,n){if(t===0)return 0;if(t===1)return e[0];let a=e[e.length-1];for(let r=0;r{let[n,a]=t.split(":");this.urlFlags[n]=eD(n,a)})}};function JF(e){let t={};return e.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g,(n,...a)=>(QF(t,a[0],a[1]),a.join("="))),t}function QF(e,t,n){e[decodeURIComponent(t)]=decodeURIComponent(n||"")}function eD(e,t){if(t=t.toLowerCase(),t==="true"||t==="false")return t==="true";if(`${+t}`===t)return+t;throw new Error(`Could not parse value flag value ${t} for flag ${e}.`)}function H(){return $x}var $x=null;function tD(e){$x=e}var dy;function QI(){if(dy==null){let e;if(typeof window!="undefined")e=window;else if(typeof global!="undefined")e=global;else if(typeof process!="undefined")e=process;else if(typeof self!="undefined")e=self;else throw new Error("Could not find a global object");dy=e}return dy}function nD(){let e=QI();return e._tfGlobals==null&&(e._tfGlobals=new Map),e._tfGlobals}function Fx(e,t){let n=nD();if(n.has(e))return n.get(e);{let a=t();return n.set(e,a),n.get(e)}}var Dl="Abs",Rl="Acos",Ml="Acosh",gs="Add",fi="AddN",Pl="All",Ol="Any",gi="ArgMax",cc="ArgMin",Ll="Asin",zl="Asinh",Wl="Atan",Bl="Atanh",Vl="Atan2",bi="AvgPool",pm="AvgPoolGrad",dc="AvgPool3D",cm="AvgPool3DGrad",yi="BatchMatMul",Ul="BatchToSpaceND",dm="Bincount",eS="BroadcastTo",hm="BroadcastArgs",xi="Cast",vi="Ceil",bs="ClipByValue",mm="Complex",hc="ComplexAbs",Gl="Concat",wi="Conv2D",fm="Conv2DBackpropFilter",ki="Conv2DBackpropInput",mc="Conv3D",gm="Conv3DBackpropFilterV2",bm="Conv3DBackpropInputV2",Ii="Cos",Si="Cosh",Hl="Cumprod",Ti="Cumsum",jl="CropAndResize",ym="DenseBincount",ql="DepthToSpace",Ni="DepthwiseConv2dNative",xm="DepthwiseConv2dNativeBackpropFilter",vm="DepthwiseConv2dNativeBackpropInput",wm="Diag",fc="Dilation2D",Ah="Dilation2DBackpropInput",$h="Dilation2DBackpropFilter",Ci="RealDiv",km="Einsum",_i="Elu",Im="EluGrad",Kl="Erf",Xl="Equal",Ei="Exp",Yl="ExpandDims",Zl="Expm1",Sm="FFT",gc="Fill",Jl="FlipLeftRight",Ai="Floor",$i="FloorDiv",Fi="FusedBatchNorm",Ql="GatherV2",eu="GatherNd",tu="Greater",Di="GreaterEqual",Ri="Identity",Tm="IFFT",Nm="Imag",nu="IsFinite",au="IsInf",ru="IsNan",Mi="LeakyRelu",su="Less",iu="LessEqual",Cm="LinSpace",Pi="Log",ou="Log1p",lu="LogicalAnd",uu="LogicalNot",pu="LogicalOr",tS="LogicalXor",nS="LogSoftmax",aD="LowerBound",bc="LRN",_m="LRNGrad",Oi="Max",Li="Maximum",zi="MaxPool",Em="MaxPoolGrad",yc="MaxPool3D",Am="MaxPool3DGrad",$m="MaxPoolWithArgmax",Wi="Mean",Bi="Min",Vi="Minimum",Ui="MirrorPad",cu="Mod",Fm="Multinomial",Gi="Multiply",du="Neg",hu="NotEqual",mu="NonMaxSuppressionV3",fu="NonMaxSuppressionV4",gu="NonMaxSuppressionV5",bu="OnesLike",Hi="OneHot",yu="Pack",ji="PadV2",rD="Pool",qi="Pow",Ki="Prelu",Xi="Prod",Dm="RaggedGather",Rm="RaggedRange",Mm="RaggedTensorToTensor",xc="Range",Pm="Real",xu="Reciprocal",Yi="Relu",vu="Reshape",Zi="ResizeNearestNeighbor",Om="ResizeNearestNeighborGrad",Ji="ResizeBilinear",Lm="ResizeBilinearGrad",Qi="Relu6",eo="Reverse",to="Round",no="Rsqrt",wu="ScatterNd",zm="SearchSorted",ku="Select",Iu="Selu",Su="Slice",ao="Sin",Tu="Sinh",Nu="Sign",ro="Sigmoid",Cu="Softplus",so="Sqrt",io="Sum",_u="SpaceToBatchND",Eu="SplitV",oo="Softmax",vc="SparseFillEmptyRows",Au="SparseReshape",wc="SparseSegmentMean",kc="SparseSegmentSum",Wm="SparseToDense",lo="SquaredDifference",Ic="Square",$u="StridedSlice",Sc="StringNGrams",Tc="StringSplit",Nc="StringToHashBucketFast",uo="Sub",po="Tan",co="Tanh",ys="Tile",Fu="TopK",Du="Transform",_r="Transpose",Bm="Unique",Ru="Unpack",Cc="UnsortedSegmentSum",sD="UpperBound",Mu="ZerosLike",xs="Step",Fh="FromPixels",Pu="RotateWithOffset",Qs="_FusedMatMul",ei="FusedConv2D",ti="FusedDepthwiseConv2D";function Jr(...e){H().getBool("IS_TEST")||H().getBool("PROD")||console.warn(...e)}function iD(...e){H().getBool("IS_TEST")||H().getBool("PROD")||console.log(...e)}var ml=Fx("kernelRegistry",()=>new Map),Xp=Fx("gradRegistry",()=>new Map);function Dh(e,t){let n=Dx(e,t);return ml.get(n)}function Cy(e){return Xp.get(e)}function Rh(e){let t=ml.entries(),n=[];for(;;){let{done:a,value:r}=t.next();if(a)break;let[s,i]=r,[o]=s.split("_");o===e&&n.push(i)}return n}function _c(e){let{kernelName:t,backendName:n}=e,a=Dx(t,n);ml.has(a)&&Jr(`The kernel '${t}' for backend '${n}' is already registered`),ml.set(a,e)}function aS(e){let{kernelName:t}=e;Xp.has(t)&&H().getBool("DEBUG")&&Jr(`Overriding the gradient for '${t}'`),Xp.set(t,e)}function oD(e,t){let n=Dx(e,t);if(!ml.has(n))throw new Error(`The kernel '${e}' for backend '${t}' is not registered`);ml.delete(n)}function lD(e){if(!Xp.has(e))throw new Error(`The gradient '${e}' for backend is not registered`);Xp.delete(e)}function uD(e,t){Rh(e).forEach(n=>{let a=Object.assign({},n,{backendName:t});_c(a)})}function Dx(e,t){return`${t}_${e}`}var v={};Ae(v,{arraysEqual:()=>fs,assert:()=>$,assertNonNegativeIntegerDimensions:()=>Ex,assertNonNull:()=>mi,assertShapesMatch:()=>Tn,bytesFromStringArray:()=>KI,bytesPerElement:()=>Ny,checkConversionForErrors:()=>jI,clamp:()=>Kp,computeStrides:()=>Fl,createScalarValue:()=>fD,createShuffledIndices:()=>HF,decodeString:()=>Mh,distSquared:()=>BF,encodeString:()=>Ac,fetch:()=>bD,fingerPrint64:()=>mD,flatten:()=>Js,getArrayFromDType:()=>HI,getTypedArrayFromDType:()=>GI,hasEncodingLoss:()=>KF,hexToLong:()=>Ec,indexToLoc:()=>ZF,inferDtype:()=>lm,inferFromImplicitShape:()=>qF,isBoolean:()=>XI,isFunction:()=>ss,isInt:()=>hl,isNumber:()=>YI,isPromise:()=>Ax,isScalarShape:()=>VF,isString:()=>Qr,isTypedArray:()=>hn,isValidDtype:()=>qI,locToIndex:()=>YF,makeOnesTypedArray:()=>_x,makeZerosNestedTypedArray:()=>XF,makeZerosTypedArray:()=>um,nearestDivisor:()=>Eh,nearestLargerEven:()=>LF,now:()=>Yp,parseAxisParam:()=>Fa,randUniform:()=>WF,repeatedTry:()=>jF,rightPad:()=>Gp,shuffle:()=>VI,shuffleCombo:()=>OF,sizeFromShape:()=>mt,sizeToSquarishShape:()=>GF,squeezeShape:()=>UI,sum:()=>zF,swap:()=>_h,tanh:()=>UF,toNestedArray:()=>ul,toTypedArray:()=>Vm});var lk=ms(vF()),Bs=lk.default||lk;function Ec(e){return Bs.fromString(e,!0,16)}var rS=Ec("c3a5c85c97cb3127"),zs=Ec("b492b66fbe98f273"),xn=Ec("9ae16a3b2f90404f");function _y(e){return e.xor(e.shru(47))}function sS(e,t,n){let a=e.slice(t,t+n);return Bs.fromBytes(Array.from(a),!0,!0)}function ht(e,t){return sS(e,t,8)}function uk(e,t){return sS(e,t,4)}function Yt(e,t){return t===0?e:e.shru(t).or(e.shl(64-t))}function ns(e,t,n=Ec("9ddfea08eb382d69")){let a=e.xor(t).mul(n);a=a.xor(a.shru(47));let r=t.xor(a).mul(n);return r=r.xor(r.shru(47)),r=r.mul(n),r}function pD(e,t,n,a,r,s){r=r.add(e),s=Yt(s.add(r).add(a),21);let i=r;return r=r.add(t),r=r.add(n),s=s.add(Yt(r,44)),[r.add(a),s.add(i)]}function sh(e,t,n,a){return pD(ht(e,t),ht(e,t+8),ht(e,t+16),ht(e,t+24),n,a)}function cD(e,t=e.length){if(t>=8){let n=xn.add(t*2),a=ht(e,0).add(xn),r=ht(e,t-8),s=Yt(r,37).mul(n).add(a),i=Yt(a,25).add(r).mul(n);return ns(s,i,n)}if(t>=4){let n=xn.add(t*2),a=uk(e,0);return ns(a.shl(3).add(t),uk(e,t-4),n)}if(t>0){let n=e[0],a=e[t>>1],r=e[t-1],s=n+(a<<8),i=t+(r<<2);return _y(xn.mul(s).xor(rS.mul(i))).mul(xn)}return xn}function dD(e,t=e.length){let n=xn.add(t*2),a=ht(e,0).mul(zs),r=ht(e,8),s=ht(e,t-8).mul(n),i=ht(e,t-16).mul(xn);return ns(Yt(a.add(r),43).add(Yt(s,30)).add(i),a.add(Yt(r.add(xn),18)).add(s),n)}function hD(e,t=e.length){let n=xn.add(t*2),a=ht(e,0).mul(xn),r=ht(e,8),s=ht(e,t-8).mul(n),i=ht(e,t-16).mul(xn),o=Yt(a.add(r),43).add(Yt(s,30)).add(i),l=ns(o,a.add(Yt(r.add(xn),18)).add(s),n),u=ht(e,16).mul(n),p=ht(e,24),d=o.add(ht(e,t-32)).mul(n),c=l.add(ht(e,t-24)).mul(n);return ns(Yt(u.add(p),43).add(Yt(d,30)).add(c),u.add(Yt(p.add(a),18)).add(d),n)}function mD(e,t=e.length){let n=Bs.fromNumber(81,!0);if(t<=32)return t<=16?cD(e,t):dD(e,t);if(t<=64)return hD(e,t);let a=n,r=n.mul(zs).add(113),s=_y(r.mul(xn).add(113)).mul(xn),i=[Bs.UZERO,Bs.UZERO],o=[Bs.UZERO,Bs.UZERO];a=a.mul(xn).add(ht(e,0));let l=0,u=(t-1>>6)*64,p=u+(t-1&63)-63;do a=Yt(a.add(r).add(i[0]).add(ht(e,l+8)),37).mul(zs),r=Yt(r.add(i[1]).add(ht(e,l+48)),42).mul(zs),a=a.xor(o[1]),r=r.add(i[0]).add(ht(e,l+40)),s=Yt(s.add(o[0]),33).mul(zs),i=sh(e,l,i[1].mul(zs),a.add(o[0])),o=sh(e,l+32,s.add(o[1]),r.add(ht(e,l+16))),[s,a]=[a,s],l+=64;while(l!==u);let d=zs.add(s.and(255).shl(1));return l=p,o[0]=o[0].add(t-1&63),i[0]=i[0].add(o[0]),o[0]=o[0].add(i[0]),a=Yt(a.add(r).add(i[0]).add(ht(e,l+8)),37).mul(d),r=Yt(r.add(i[1]).add(ht(e,l+48)),42).mul(d),a=a.xor(o[1].mul(9)),r=r.add(i[0].mul(9).add(ht(e,l+40))),s=Yt(s.add(o[0]),33).mul(d),i=sh(e,l,i[1].mul(d),a.add(o[0])),o=sh(e,l+32,s.add(o[1]),r.add(ht(e,l+16))),[s,a]=[a,s],ns(ns(i[0],o[0],d).add(_y(r).mul(rS)).add(s),ns(i[1],o[1],d).add(a),d)}function fD(e,t){return t==="string"?Ac(e):Vm([e],t)}function gD(e,t){return e instanceof Float32Array&&t==="float32"||e instanceof Int32Array&&t==="int32"||e instanceof Uint8Array&&t==="bool"}function Vm(e,t){if(t==="string")throw new Error("Cannot convert a string[] to a TypedArray");if(Array.isArray(e)&&(e=Js(e)),H().getBool("DEBUG")&&jI(e,t),gD(e,t))return e;if(t==null||t==="float32"||t==="complex64")return new Float32Array(e);if(t==="int32")return new Int32Array(e);if(t==="bool"){let n=new Uint8Array(e.length);for(let a=0;a{a=n()},s,i=Yp();if(this.backendTimer.timerAvailable())s=this.backendTimer.time(r);else{r();for(let o of a)o.dataSync();s=Promise.resolve({kernelMs:Yp()-i})}if(H().getBool("CHECK_COMPUTATION_FOR_ERRORS"))for(let o=0;o{xD(u,l.dtype,e)})}return{kernelName:e,outputs:a,inputs:t,timeMs:s.then(o=>o.kernelMs),extraInfo:s.then(o=>o.getExtraProfileInfo!=null?o.getExtraProfileInfo():"")}}logKernelProfile(e){let{kernelName:t,outputs:n,timeMs:a,inputs:r,extraInfo:s}=e;n.forEach(i=>{Promise.all([i.data(),a,s]).then(o=>{this.logger.logKernelProfile(t,i,o[0],o[1],r,o[2])})})}};function xD(e,t,n){if(t!=="float32")return!1;for(let a=0;a0?m:""} `}}console.log(`%c${o} %c${i} %c${l}D ${p} %c${u} %c${d} %c${s}`,"font-weight:bold","color:red","color:blue","color: orange","color: green","color: steelblue")}};function wD(e,t,n){let a={},r={};for(let l=0;la[f.id]=!0),h=!0,r[u.id]=!0;break}if(h)break}}let s={};s[n.id]=!0;let i={};for(let l=e.length-1;l>=0;l--){let u=e[l],p=u.inputs;for(let d=0;d=0;r--){let s=t[r],i=[];if(s.outputs.forEach(l=>{let u=e[l.id];u!=null?i.push(u):i.push(null)}),s.gradient==null)throw new Error(`Cannot compute gradient: gradient function not found for ${s.kernelName}.`);let o=s.gradient(i);for(let l in s.inputs){if(!(l in o))throw new Error(`Cannot backprop through input ${l}. Available gradients found: ${Object.keys(o)}.`);let u=n(()=>o[l]());if(u.dtype!=="float32")throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input ${l} must have 'float32' dtype, but has '${u.dtype}'`);let p=s.inputs[l];if(!fs(u.shape,p.shape))throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input '${l}' has shape '${u.shape}', which does not match the shape of the input '${p.shape}'`);if(e[p.id]==null)e[p.id]=u;else{let d=e[p.id];e[p.id]=a(d,u),d.dispose()}}}}var pk=20,Ep=3,hy=7;function ID(e,t,n,a){let r=Fl(t),s=SD(e,t,n,r),i=t.length,o=yh(e,t,n,r,s),l=["Tensor"];return a&&(l.push(` dtype: ${n}`),l.push(` rank: ${i}`),l.push(` shape: [${t}]`),l.push(" values:")),l.push(o.map(u=>" "+u).join(` `)),l.join(` -`)}function gD(e,t,n,a){let r=mt(t),s=a[a.length-1],i=new Array(s).fill(0),o=t.length,l=n==="complex64"?Fp(e):e;if(o>1)for(let u=0;uik){let g=Cp*i,b=Array.from(e.slice(0,g)),y=Array.from(e.slice((o-Cp)*i,o*i));return n==="complex64"&&(b=Fp(b),y=Fp(y)),["["+b.map((x,w)=>$p(x,r[w],n)).join(", ")+", ..., "+y.map((x,w)=>$p(x,r[o-Cp+w],n)).join(", ")+"]"]}let f=n==="complex64"?Fp(e):Array.from(e);return["["+f.map((g,b)=>$p(g,r[b],n)).join(", ")+"]"]}let u=t.slice(1),p=a.slice(1),d=a[0]*i,c=[];if(o>ik){for(let f=0;f1)for(let u=0;upk){let g=Ep*i,b=Array.from(e.slice(0,g)),y=Array.from(e.slice((o-Ep)*i,o*i));return n==="complex64"&&(b=Rp(b),y=Rp(y)),["["+b.map((x,w)=>Dp(x,r[w],n)).join(", ")+", ..., "+y.map((x,w)=>Dp(x,r[o-Ep+w],n)).join(", ")+"]"]}let f=n==="complex64"?Rp(e):Array.from(e);return["["+f.map((g,b)=>Dp(g,r[b],n)).join(", ")+"]"]}let u=t.slice(1),p=a.slice(1),d=a[0]*i,c=[];if(o>pk){for(let f=0;f`Length of values '${a}' does not match the size inferred by the shape '${this.size}'.`)}if(t==="complex64")throw new Error("complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).");this.values=n||LI(t,this.size),this.strides=Al(e)}set(e,...t){t.length===0&&(t=[0]),$(t.length===this.rank,()=>`The number of provided coordinates (${t.length}) must match the rank (${this.rank})`);let n=this.locToIndex(t);this.values[n]=e}get(...e){e.length===0&&(e=[0]);let t=0;for(let a of e){if(a<0||a>=this.shape[t]){let r=`Requested out of range element at ${e}. Buffer shape=${this.shape}`;throw new Error(r)}t++}let n=e[e.length-1];for(let a=0;aMh(n))}catch(n){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}}return e}dataToGPU(e){return this.throwIfDisposed(),Pa().readToGPU(this.dataId,e)}dataSync(){this.throwIfDisposed();let e=Pa().readSync(this.dataId);if(this.dtype==="string")try{return e.map(t=>Mh(t))}catch(t){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return e}async bytes(){this.throwIfDisposed();let e=await Pa().read(this.dataId);return this.dtype==="string"?e:new Uint8Array(e.buffer)}dispose(){this.isDisposed||(Pa().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(e=!1){return sl.print(this,e)}clone(){return this.throwIfDisposed(),sl.clone(this)}toString(e=!1){let t=this.dataSync();return fD(t,this.shape,this.dtype,e)}cast(e){return this.throwIfDisposed(),sl.cast(this,e)}variable(e=!0,t,n){return this.throwIfDisposed(),Pa().makeVariable(this,e,t,n)}};Object.defineProperty(Te,Symbol.hasInstance,{value:e=>!!e&&e.data!=null&&e.dataSync!=null&&e.throwIfDisposed!=null});function J(){return Ax("Tensor",()=>Te)}J();var ss=class extends Te{constructor(e,t,n,a){super(e.shape,e.dtype,e.dataId,a),this.trainable=t,this.name=n}assign(e){if(e.dtype!==this.dtype)throw new Error(`dtype of the new value (${e.dtype}) and previous value (${this.dtype}) must match`);if(!ms(e.shape,this.shape))throw new Error(`shape of the new value (${e.shape}) and previous value (${this.shape}) must match`);Pa().disposeTensor(this),this.dataId=e.dataId,Pa().incRef(this,null)}dispose(){Pa().disposeVariable(this),this.isDisposedInternal=!0}};Object.defineProperty(ss,Symbol.hasInstance,{value:e=>e instanceof Te&&e.assign!=null&&e.assign instanceof Function});var Ba={};_e(Ba,{assertTypesMatch:()=>eS,getTensorsInContainer:()=>Fx,isTensorInList:()=>kD,makeTypesMatch:()=>_t});var Cy;(function(e){e.R0="R0",e.R1="R1",e.R2="R2",e.R3="R3",e.R4="R4",e.R5="R5",e.R6="R6"})(Cy||(Cy={}));var _y;(function(e){e.float32="float32",e.int32="int32",e.bool="int32",e.complex64="complex64"})(_y||(_y={}));var Ey;(function(e){e.float32="float32",e.int32="int32",e.bool="bool",e.complex64="complex64"})(Ey||(Ey={}));var Ay;(function(e){e.float32="float32",e.int32="float32",e.bool="float32",e.complex64="complex64"})(Ay||(Ay={}));var $y;(function(e){e.float32="complex64",e.int32="complex64",e.bool="complex64",e.complex64="complex64"})($y||($y={}));var wD={float32:Ay,int32:_y,bool:Ey,complex64:$y};function ma(e,t){if(e==="string"||t==="string"){if(e==="string"&&t==="string")return"string";throw new Error(`Can not upcast ${e} with ${t}`)}return wD[e][t]}function Wm(e){return ma(e,"int32")}function _t(e,t){if(e.dtype===t.dtype)return[e,t];let n=ma(e.dtype,t.dtype);return[e.cast(n),t.cast(n)]}function eS(e,t){$(e.dtype===t.dtype,()=>`The dtypes of the first(${e.dtype}) and second(${t.dtype}) input must match`)}function kD(e,t){return t.some(n=>n.id===e.id)}function Fx(e){let t=[];return tS(e,t,new Set),t}function tS(e,t,n){if(e==null)return;if(e instanceof Te){t.push(e);return}if(!ID(e))return;let a=e;for(let r in a){let s=a[r];n.has(s)||(n.add(s),tS(s,t,n))}}function ID(e){return Array.isArray(e)||typeof e=="object"}function dy(e){return e.kernelName!=null}var ok=class{constructor(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null,get kernelNames(){return Array.from(new Set(this.kernels.map(e=>e.name)))}}}dispose(){for(let e in this.registeredVariables)this.registeredVariables[e].dispose()}},Kp=class{constructor(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new ok}async ready(){if(this.pendingBackendInit!=null)return this.pendingBackendInit.then(()=>{});if(this.backendInstance!=null)return;let e=this.getSortedBackends();for(let t=0;t{e.setupFunc!=null&&e.setupFunc(this.backendInstance)})}disposeRegisteredKernels(e){Rh(e).forEach(t=>{t.disposeFunc!=null&&t.disposeFunc(this.registry[e])})}initializeBackend(e){let t=this.registryFactory[e];if(t==null)throw new Error(`Cannot initialize backend ${e}, no registration found.`);try{let n=t.factory();if(n&&!(n instanceof lc)&&typeof n.then=="function"){let a=++this.pendingBackendInitId,r=n.then(s=>a(athis.registryFactory[t].priority-this.registryFactory[e].priority)}initializeBackendsAndReturnBest(){let e=this.getSortedBackends();for(let t=0;tthis.startScope(n),()=>this.endScope(a),()=>(a=t(),a instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),a))}scopedRun(e,t,n){e();try{let a=n();return t(),a}catch(a){throw t(),a}}nextTensorId(){return Kp.nextTensorId++}nextVariableId(){return Kp.nextVariableId++}clone(e){let t=O.runKernel(Ri,{x:e}),n={x:e},a=s=>({x:()=>{let i="float32",o={x:s},l={dtype:i};return O.runKernel(xi,o,l)}}),r=[];return this.addTapeNode(this.state.activeScope.name,n,[t],a,r,{}),t}runKernel(e,t,n){if(this.backendName==null&&this.backend,Dh(e,this.backendName)==null)throw new Error(`Kernel '${e}' not registered for backend '${this.backendName}'`);return this.runKernelFunc({kernelName:e,inputs:t,attrs:n})}shouldCheckForMemLeaks(){return this.ENV.getBool("IS_TEST")}checkKernelForMemLeak(e,t,n){let a=this.backend.numDataIds(),r=0;n.forEach(o=>{r+=o.dtype==="complex64"?3:1});let s=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],i=a-t-r-s;if(i>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${i} data ids) after running '${e}'`)}runKernelFunc(e){let t,n=[],a=this.isTapeOn(),r=this.state.numBytes,s=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);let i;this.backendName==null&&this.backend;let o,l=dy(e)?e.kernelName:this.state.activeScope!=null?this.state.activeScope.name:"";if(dy(e)){let{kernelName:h,inputs:m,attrs:f}=e;this.backendName==null&&this.backend;let g=Dh(h,this.backendName);$(g!=null,()=>`Cannot find registered kernel '${h}' for backend '${this.backendName}'`),i=()=>{let b=this.backend.numDataIds();o=g.kernelFunc({inputs:m,attrs:f,backend:this.backend});let y=Array.isArray(o)?o:[o];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(h,b,y);let x=y.map(w=>w.rank!=null?w:this.makeTensorFromTensorInfo(w));if(a){let w=this.getTensorsForGradient(h,m,x);n=this.saveTensorsForBackwardMode(w)}return x}}else{let{forwardFunc:h}=e,m=f=>{!a||(n=f.map(g=>this.keep(this.clone(g))))};i=()=>{let f=this.backend.numDataIds();o=this.tidy(()=>h(this.backend,m));let g=Array.isArray(o)?o:[o];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(l,f,g),g}}let{inputs:u,attrs:p}=e,d=dy(e)?null:e.backwardsFunc,c;return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{!this.ENV.getBool("DEBUG")&&!this.state.profiling?t=i():(c=this.profiler.profileKernel(l,u,()=>i()),this.ENV.getBool("DEBUG")&&this.profiler.logKernelProfile(c),t=c.outputs)}),a&&this.addTapeNode(l,u,t,d,n,p),this.state.profiling&&this.state.activeProfile.kernels.push({name:l,bytesAdded:this.state.numBytes-r,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-s,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(u).map(h=>u[h]!=null?u[h].shape:null),outputShapes:t.map(h=>h.shape),kernelTimeMs:c.timeMs,extraInfo:c.extraInfo}),Array.isArray(o)?t:t[0]}saveTensorsForBackwardMode(e){return e.map(t=>this.keep(this.clone(t)))}getTensorsForGradient(e,t,n){let a=Ty(e);if(a!=null){let r=a.inputsToSave||[],s=a.outputsToSave||[],i;a.saveAllInputs?($(Array.isArray(t),()=>"saveAllInputs is true, expected inputs to be an array."),i=Object.keys(t).map(l=>t[l])):i=r.map(l=>t[l]);let o=n.filter((l,u)=>s[u]);return i.concat(o)}return[]}makeTensor(e,t,n,a){if(e==null)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",a=a||this.backend;let r=e;n==="string"&&Jr(e[0])&&(r=e.map(o=>_c(o)));let s=a.write(r,t,n),i=new Te(t,n,s,this.nextTensorId());if(this.trackTensor(i,a),n==="string"){let o=this.state.tensorInfo.get(s),l=WI(r);this.state.numBytes+=l-o.bytes,o.bytes=l}return i}makeTensorFromDataId(e,t,n,a){n=n||"float32";let r={dataId:e,shape:t,dtype:n};return this.makeTensorFromTensorInfo(r,a)}makeTensorFromTensorInfo(e,t){let{dataId:n,shape:a,dtype:r}=e,s=new Te(a,r,n,this.nextTensorId());return this.trackTensor(s,t),s}makeVariable(e,t=!0,n,a){n=n||this.nextVariableId().toString(),a!=null&&a!==e.dtype&&(e=e.cast(a));let r=new ss(e,t,n,this.nextTensorId());if(this.state.registeredVariables[r.name]!=null)throw new Error(`Variable with name ${r.name} was already registered`);return this.state.registeredVariables[r.name]=r,this.incRef(r,this.backend),r}trackTensor(e,t){this.state.numTensors++,e.dtype==="string"&&this.state.numStringTensors++;let n=0;e.dtype!=="complex64"&&e.dtype!=="string"&&(n=e.size*Sy(e.dtype)),this.state.numBytes+=n,this.state.tensorInfo.has(e.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:n})),e instanceof ss||this.track(e)}incRef(e,t){this.trackTensor(e,t),this.backend.incRef(e.dataId)}removeDataId(e,t){this.state.tensorInfo.has(e)&&this.state.tensorInfo.get(e).backend===t&&(this.state.tensorInfo.delete(e),this.state.numDataBuffers--)}disposeTensor(e){if(!this.state.tensorInfo.has(e.dataId))return;let t=this.state.tensorInfo.get(e.dataId);if(this.state.numTensors--,e.dtype==="string"&&(this.state.numStringTensors--,this.state.numBytes-=t.bytes),e.dtype!=="complex64"&&e.dtype!=="string"){let n=e.size*Sy(e.dtype);this.state.numBytes-=n}t.backend.disposeData(e.dataId)&&this.removeDataId(e.dataId,t.backend)}disposeVariables(){for(let e in this.state.registeredVariables){let t=this.state.registeredVariables[e];this.disposeVariable(t)}}disposeVariable(e){this.disposeTensor(e),this.state.registeredVariables[e.name]!=null&&delete this.state.registeredVariables[e.name]}memory(){let e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,e.reasons==null&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e}async profile(e){this.state.profiling=!0;let t=this.state.numBytes,n=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await e(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map(a=>a.totalBytesSnapshot)),this.state.activeProfile.newBytes=this.state.numBytes-t,this.state.activeProfile.newTensors=this.state.numTensors-n;for(let a of this.state.activeProfile.kernels)a.kernelTimeMs=await a.kernelTimeMs,a.extraInfo=await a.extraInfo;return this.state.activeProfile}isTapeOn(){return this.state.gradientDepth>0&&this.state.kernelDepth===0}addTapeNode(e,t,n,a,r,s){let i={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:n,saved:r},o=Ty(e);o!=null&&(a=o.gradFunc),a!=null&&(i.gradient=l=>(l=l.map((u,p)=>{if(u==null){let d=n[p],c=lm(d.size,d.dtype);return this.makeTensor(c,d.shape,d.dtype)}return u}),a(l.length>1?l:l[0],r,s))),this.state.activeTape.push(i)}keep(e){return e.kept=!0,e}startTape(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++}endTape(){this.state.gradientDepth--}startScope(e){let t={track:[],name:"unnamed scope",id:this.state.nextScopeId++};e&&(t.name=e),this.state.scopeStack.push(t),this.state.activeScope=t}endScope(e){let t=Fx(e),n=new Set(t.map(r=>r.id));for(let r=0;r{!r.kept&&r.scopeId===a.id&&this.track(r)})}gradients(e,t,n,a=!1){if($(t.length>0,()=>"gradients() received an empty list of xs."),n!=null&&n.dtype!=="float32")throw new Error(`dy must have 'float32' dtype, but has '${n.dtype}'`);let r=this.scopedRun(()=>this.startTape(),()=>this.endTape(),()=>this.tidy("forward",e));$(r instanceof Te,()=>"The result y returned by f() must be a tensor.");let s=hD(this.state.activeTape,t,r);if(!a&&s.length===0&&t.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",()=>{let i={};i[r.id]=n==null?SD(r.shape):n,mD(i,s,l=>this.tidy(l),TD);let o=t.map(l=>i[l.id]);return this.state.gradientDepth===0&&(this.state.activeTape.forEach(l=>{for(let u of l.saved)u.dispose()}),this.state.activeTape=null),{value:r,grads:o}})}customGrad(e){return $(rs(e),()=>"The f passed in customGrad(f) must be a function."),(...t)=>{$(t.every(i=>i instanceof Te),()=>"The args passed in customGrad(f)(x1, x2,...) must all be tensors");let n,a={};t.forEach((i,o)=>{a[o]=i});let r=(i,o)=>(n=e(...t,o),$(n.value instanceof Te,()=>"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"),$(rs(n.gradFunc),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."),n.value),s=(i,o)=>{let l=n.gradFunc(i,o),u=Array.isArray(l)?l:[l];$(u.length===t.length,()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."),$(u.every(d=>d instanceof Te),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.");let p={};return u.forEach((d,c)=>{p[c]=()=>d}),p};return this.runKernelFunc({forwardFunc:r,backwardsFunc:s,inputs:a})}}readSync(e){return this.state.tensorInfo.get(e).backend.readSync(e)}read(e){return this.state.tensorInfo.get(e).backend.read(e)}readToGPU(e,t){return this.state.tensorInfo.get(e).backend.readToGPU(e,t)}async time(e){let t=qp(),n=await this.backend.time(e);return n.wallMs=qp()-t,n}track(e){return this.state.activeScope!=null&&(e.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(e)),e}get registeredVariables(){return this.state.registeredVariables}reset(){this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new ok;for(let e in this.registry)this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null}};Kp.nextTensorId=0;Kp.nextVariableId=0;function SD(e){let t=Nx(mt(e),"float32");return O.makeTensor(t,e,"float32")}function nS(){let e=jI();if(e._tfengine==null){let t=new HI(e);e._tfengine=new Kp(t)}return qF(e._tfengine.ENV),yD(()=>e._tfengine),e._tfengine}var O=nS();function TD(e,t){let n={a:e,b:t};return O.runKernel(fs,n)}var Ec={};_e(Ec,{isBrowser:()=>aS,isMobile:()=>_D,mockIsMobile:()=>CD});function ND(){return typeof navigator!="undefined"&&navigator!=null}var Fy;function CD(e){Fy=e}function _D(e){if(Fy!==void 0)return Fy;if(e||ND()){if(e||(e=navigator),e.product==="ReactNative")return!0;let t=e.userAgent||e.vendor||(typeof window!="undefined"?window.opera:"");if(!t){let n=e;return n.userAgentData&&n.userAgentData.mobile}return/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i.test(t)||/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i.test(t.substr(0,4))}return!1}function aS(){return typeof window!="undefined"&&window.document!=null||typeof WorkerGlobalScope!="undefined"}var Jn=H();Jn.registerFlag("DEBUG",()=>!1,e=>{e&&console.warn("Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.")});Jn.registerFlag("IS_BROWSER",()=>aS());Jn.registerFlag("IS_NODE",()=>typeof process!="undefined"&&typeof process.versions!="undefined"&&typeof process.versions.node!="undefined");Jn.registerFlag("IS_CHROME",()=>typeof navigator!="undefined"&&navigator!=null&&navigator.userAgent!=null&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor));Jn.registerFlag("PROD",()=>!1);Jn.registerFlag("TENSORLIKE_CHECK_SHAPE_CONSISTENCY",()=>Jn.getBool("DEBUG"));Jn.registerFlag("DEPRECATION_WARNINGS_ENABLED",()=>!0);Jn.registerFlag("IS_TEST",()=>!1);Jn.registerFlag("CHECK_COMPUTATION_FOR_ERRORS",()=>!0);Jn.registerFlag("WRAP_TO_IMAGEBITMAP",()=>!1);Jn.registerFlag("ENGINE_COMPILE_ONLY",()=>!1);Jn.registerFlag("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU",()=>!1);Jn.registerFlag("USE_SETTIMEOUTCUSTOM",()=>!1);function or(e,t){let n=e;if(dn(e))return t==="string"?[]:[e.length];if(!Array.isArray(e))return[];let a=[];for(;Array.isArray(n)||dn(n)&&t!=="string";)a.push(n.length),n=n[0];return Array.isArray(e)&&H().getBool("TENSORLIKE_CHECK_SHAPE_CONSISTENCY")&&rS(e,a,[]),a}function rS(e,t,n){if(n=n||[],!Array.isArray(e)&&!dn(e)){$(t.length===0,()=>`Element arr[${n.join("][")}] is a primitive, but should be an array/TypedArray of ${t[0]} elements`);return}$(t.length>0,()=>`Element arr[${n.join("][")}] should be a primitive, but is an array of ${e.length} elements`),$(e.length===t[0],()=>`Element arr[${n.join("][")}] should have ${t[0]} elements, but has ${e.length} elements`);let a=t.slice(1);for(let r=0;r=0&&(r=a),lk(a,r,t,n),e==null||!dn(e)&&!Array.isArray(e)&&typeof e!="number"&&typeof e!="boolean"&&typeof e!="string"){let o=e==null?"null":e.constructor.name;throw new Error(`Argument '${t}' passed to '${n}' must be a Tensor or TensorLike, but got '${o}'`)}let s=or(e,r);!dn(e)&&!Array.isArray(e)&&(e=[e]);let i=r!=="string"?Bm(e,r):Js(e,[],!0);return O.makeTensor(i,s,r)}function Xp(e,t,n,a="numeric"){if(!Array.isArray(e))throw new Error(`Argument ${t} passed to ${n} must be a \`Tensor[]\` or \`TensorLike[]\``);return e.map((r,s)=>_(r,`${t}[${s}]`,n,a))}var Dx="__op";function L(e){let t=Object.keys(e);if(t.length!==1)throw new Error(`Please provide an object with a single key (operation name) mapping to a function. Got an object with ${t.length} keys.`);let n=t[0],a=e[n];n.endsWith("_")&&(n=n.substring(0,n.length-1)),n=n+Dx;let r=(...s)=>{O.startScope(n);try{let i=a(...s);return _x(i)&&console.error("Cannot return a Promise inside of tidy."),O.endScope(i),i}catch(i){throw O.endScope(null),i}};return Object.defineProperty(r,"name",{value:n,configurable:!0}),r}function ED(e,t){let n=_(e,"real","complex"),a=_(t,"imag","complex");Sn(n.shape,a.shape,`real and imag shapes, ${n.shape} and ${a.shape}, must match in call to tf.complex().`);let r={real:n,imag:a};return O.runKernel(hm,r)}var Ar=L({complex_:ED});function xs(e,t,n,a){if(a==null&&(a=om(e)),a==="complex64")throw new Error("Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).");if(!dn(e)&&!Array.isArray(e)&&typeof e!="number"&&typeof e!="boolean"&&typeof e!="string")throw new Error("values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray");if(t!=null){Cx(t);let r=mt(t),s=mt(n);$(r===s,()=>`Based on the provided shape, [${t}], the tensor should have ${r} values but has ${s}`);for(let i=0;i`Error creating a new Tensor. Inferred shape (${n}) does not match the provided shape (${t}). `)}}return!dn(e)&&!Array.isArray(e)&&(e=[e]),t=t||n,e=a!=="string"?Bm(e,a):Js(e,[],!0),O.makeTensor(e,t,a)}function On(e,t,n){let a=or(e,n);return xs(e,t,a,n)}var Dy={float32:4,float16:2,int32:4,uint16:2,uint8:1,bool:1,complex64:8},Ph=4;async function AD(e,t){let n=[],a=[],r=Array.isArray(e)?e.map(i=>i.name):Object.keys(e);for(let i=0;i{let c=await l.bytes(),h=c.reduce((g,b)=>g+b.length,0)+Ph*c.length,m=new Uint8Array(h),f=0;for(let g=0;g{if(t+=s.byteLength,n.push(s.byteLength===s.buffer.byteLength?s:new s.constructor(s)),!(s instanceof Float32Array||s instanceof Int32Array||s instanceof Uint8Array))throw new Error(`Unsupported TypedArray subtype: ${s.constructor.name}`)});let a=new Uint8Array(t),r=0;return n.forEach(s=>{a.set(new Uint8Array(s.buffer),r),r+=s.byteLength}),a.buffer}var Rx=typeof Buffer!="undefined"&&(typeof Blob=="undefined"||typeof atob=="undefined"||typeof btoa=="undefined");function uk(e){return Rx?Buffer.byteLength(e):new Blob([e]).size}function FD(e){if(Rx)return Buffer.from(e).toString("base64");let t=new Uint8Array(e),n="";for(let a=0,r=t.length;a{t+=r.byteLength});let n=new Uint8Array(t),a=0;return e.forEach(r=>{n.set(new Uint8Array(r),a),a+=r.byteLength}),n.buffer}function pk(e){let t="/";for(e=e.trim();e.endsWith(t);)e=e.slice(0,e.length-1);let n=e.split(t);return n[n.length-1]}function iS(e,t){let n={modelTopology:e.modelTopology,format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,weightsManifest:t};return e.signature!=null&&(n.signature=e.signature),e.userDefinedMetadata!=null&&(n.userDefinedMetadata=e.userDefinedMetadata),e.modelInitializer!=null&&(n.modelInitializer=e.modelInitializer),e.trainingConfig!=null&&(n.trainingConfig=e.trainingConfig),n}function oS(e,t,n){let a={modelTopology:e.modelTopology,format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy};if(e.trainingConfig!=null&&(a.trainingConfig=e.trainingConfig),e.weightsManifest!=null){if(!t)throw new Error("modelJSON has weightsManifest but weightSpecs is null");if(!n)throw new Error("modelJSON has weightsManifest but weightData is null");a.weightSpecs=t,a.weightData=n}return e.signature!=null&&(a.signature=e.signature),e.userDefinedMetadata!=null&&(a.userDefinedMetadata=e.userDefinedMetadata),e.modelInitializer!=null&&(a.modelInitializer=e.modelInitializer),a}async function Px(e,t){let n,a;return e.weightsManifest!=null&&([n,a]=await t(e.weightsManifest)),oS(e,n,a)}function Ac(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("Expected JSON model topology, received ArrayBuffer.");return{dateSaved:new Date,modelTopologyType:"JSON",modelTopologyBytes:e.modelTopology==null?0:uk(JSON.stringify(e.modelTopology)),weightSpecsBytes:e.weightSpecs==null?0:uk(JSON.stringify(e.weightSpecs)),weightDataBytes:e.weightData==null?0:e.weightData.byteLength}}function lS(e){let t=[];for(let n of e)t.push(...n.weights);return t}function RD(){let e=n=>{let a=n<<13,r=0;for(;(a&8388608)===0;)r-=8388608,a<<=1;return a&=-8388609,r+=947912704,a|r},t=new Uint32Array(2048);t[0]=0;for(let n=1;n<1024;n++)t[n]=e(n);for(let n=1024;n<2048;n++)t[n]=939524096+(n-1024<<13);return t}function MD(){let e=new Uint32Array(64);e[0]=0,e[31]=1199570944,e[32]=2147483648,e[63]=3347054592;for(let t=1;t<31;t++)e[t]=t<<23;for(let t=33;t<63;t++)e[t]=2147483648+(t-32<<23);return e}function PD(){let e=new Uint32Array(64);for(let t=0;t<64;t++)e[t]=1024;return e[0]=e[32]=0,e}function OD(){let e=RD(),t=MD(),n=PD();return a=>{let r=new ArrayBuffer(4*a.length),s=new Uint32Array(r);for(let i=0;i>10]+(o&1023)]+t[o>>10];s[i]=l}return new Float32Array(r)}}var At=class{constructor(){this.saveRouters=[],this.loadRouters=[]}static getInstance(){return At.instance==null&&(At.instance=new At),At.instance}static registerSaveRouter(e){At.getInstance().saveRouters.push(e)}static registerLoadRouter(e){At.getInstance().loadRouters.push(e)}static getSaveHandlers(e){return At.getHandlers(e,"save")}static getLoadHandlers(e,t){return At.getHandlers(e,"load",t)}static getHandlers(e,t,n){let a=[];return(t==="load"?At.getInstance().loadRouters:At.getInstance().saveRouters).forEach(r=>{let s=r(e,n);s!==null&&a.push(s)}),a}},LD=e=>At.registerSaveRouter(e),zD=e=>At.registerLoadRouter(e),BD=e=>At.getSaveHandlers(e),WD=(e,t)=>At.getLoadHandlers(e,t),Ry="tensorflowjs",My=1,Hs="models_store",Qr="model_info_store";function uS(){if(!H().getBool("IS_BROWSER"))throw new Error("Failed to obtain IndexedDB factory because the current environmentis not a web browser.");let e=typeof window=="undefined"?self:window,t=e.indexedDB||e.mozIndexedDB||e.webkitIndexedDB||e.msIndexedDB||e.shimIndexedDB;if(t==null)throw new Error("The current browser does not appear to support IndexedDB.");return t}function Py(e){let t=e.result;t.createObjectStore(Hs,{keyPath:"modelPath"}),t.createObjectStore(Qr,{keyPath:"modelPath"})}var ni=class{constructor(e){if(this.indexedDB=uS(),e==null||!e)throw new Error("For IndexedDB, modelPath must not be null, undefined or empty.");this.modelPath=e}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");return this.databaseAction(this.modelPath,e)}async load(){return this.databaseAction(this.modelPath)}databaseAction(e,t){return new Promise((n,a)=>{let r=this.indexedDB.open(Ry,My);r.onupgradeneeded=()=>Py(r),r.onsuccess=()=>{let s=r.result;if(t==null){let i=s.transaction(Hs,"readonly"),o=i.objectStore(Hs).get(this.modelPath);o.onsuccess=()=>{if(o.result==null)return s.close(),a(new Error(`Cannot find model with path '${this.modelPath}' in IndexedDB.`));n(o.result.modelArtifacts)},o.onerror=l=>(s.close(),a(o.error)),i.oncomplete=()=>s.close()}else{let i=Ac(t),o=s.transaction(Qr,"readwrite"),l=o.objectStore(Qr),u=l.put({modelPath:this.modelPath,modelArtifactsInfo:i}),p;u.onsuccess=()=>{p=s.transaction(Hs,"readwrite");let d=p.objectStore(Hs).put({modelPath:this.modelPath,modelArtifacts:t,modelArtifactsInfo:i});d.onsuccess=()=>n({modelArtifactsInfo:i}),d.onerror=c=>{l=o.objectStore(Qr);let h=l.delete(this.modelPath);h.onsuccess=()=>(s.close(),a(d.error)),h.onerror=m=>(s.close(),a(d.error))}},u.onerror=d=>(s.close(),a(u.error)),o.oncomplete=()=>{p==null?s.close():p.oncomplete=()=>s.close()}}},r.onerror=s=>a(r.error)})}};ni.URL_SCHEME="indexeddb://";var pS=e=>H().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(ni.URL_SCHEME)?VD(e.slice(ni.URL_SCHEME.length)):null;At.registerSaveRouter(pS);At.registerLoadRouter(pS);function VD(e){return new ni(e)}function UD(e){return e.startsWith(ni.URL_SCHEME)?e.slice(ni.URL_SCHEME.length):e}var GD=class{constructor(){this.indexedDB=uS()}async listModels(){return new Promise((e,t)=>{let n=this.indexedDB.open(Ry,My);n.onupgradeneeded=()=>Py(n),n.onsuccess=()=>{let a=n.result,r=a.transaction(Qr,"readonly"),s=r.objectStore(Qr).getAll();s.onsuccess=()=>{let i={};for(let o of s.result)i[o.modelPath]=o.modelArtifactsInfo;e(i)},s.onerror=i=>(a.close(),t(s.error)),r.oncomplete=()=>a.close()},n.onerror=a=>t(n.error)})}async removeModel(e){return e=UD(e),new Promise((t,n)=>{let a=this.indexedDB.open(Ry,My);a.onupgradeneeded=()=>Py(a),a.onsuccess=()=>{let r=a.result,s=r.transaction(Qr,"readwrite"),i=s.objectStore(Qr),o=i.get(e),l;o.onsuccess=()=>{if(o.result==null)return r.close(),n(new Error(`Cannot find model with path '${e}' in IndexedDB.`));{let u=i.delete(e),p=()=>{l=r.transaction(Hs,"readwrite");let d=l.objectStore(Hs).delete(e);d.onsuccess=()=>t(o.result.modelArtifactsInfo),d.onerror=c=>n(o.error)};u.onsuccess=p,u.onerror=d=>(p(),r.close(),n(o.error))}},o.onerror=u=>(r.close(),n(o.error)),s.oncomplete=()=>{l==null?r.close():l.oncomplete=()=>r.close()}},a.onerror=r=>n(a.error)})}},Tr="/",il="tensorflowjs_models",cS="info",HD="model_topology",jD="weight_specs",qD="weight_data",KD="model_metadata";function dS(e){return{info:[il,e,cS].join(Tr),topology:[il,e,HD].join(Tr),weightSpecs:[il,e,jD].join(Tr),weightData:[il,e,qD].join(Tr),modelMetadata:[il,e,KD].join(Tr)}}function hS(e){for(let t of Object.values(e))window.localStorage.removeItem(t)}function XD(e){let t=e.split(Tr);if(t.length<3)throw new Error(`Invalid key format: ${e}`);return t.slice(1,t.length-1).join(Tr)}function YD(e){return e.startsWith(ai.URL_SCHEME)?e.slice(ai.URL_SCHEME.length):e}var ai=class{constructor(e){if(!H().getBool("IS_BROWSER")||typeof window=="undefined"||typeof window.localStorage=="undefined")throw new Error("The current environment does not support local storage.");if(this.LS=window.localStorage,e==null||!e)throw new Error("For local storage, modelPath must not be null, undefined or empty.");this.modelPath=e,this.keys=dS(this.modelPath)}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");{let t=JSON.stringify(e.modelTopology),n=JSON.stringify(e.weightSpecs),a=Ac(e);try{this.LS.setItem(this.keys.info,JSON.stringify(a)),this.LS.setItem(this.keys.topology,t),this.LS.setItem(this.keys.weightSpecs,n),this.LS.setItem(this.keys.weightData,FD(e.weightData));let r={format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,signature:e.signature!=null?e.signature:void 0,userDefinedMetadata:e.userDefinedMetadata!=null?e.userDefinedMetadata:void 0,modelInitializer:e.modelInitializer!=null?e.modelInitializer:void 0,trainingConfig:e.trainingConfig!=null?e.trainingConfig:void 0};return this.LS.setItem(this.keys.modelMetadata,JSON.stringify(r)),{modelArtifactsInfo:a}}catch(r){throw hS(this.keys),new Error(`Failed to save model '${this.modelPath}' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=${a.modelTopologyBytes}, weightSpecsBytes=${a.weightSpecsBytes}, weightDataBytes=${a.weightDataBytes}.`)}}}async load(){let e=JSON.parse(this.LS.getItem(this.keys.info));if(e==null)throw new Error(`In local storage, there is no model with name '${this.modelPath}'`);if(e.modelTopologyType!=="JSON")throw new Error("BrowserLocalStorage does not support loading non-JSON model topology yet.");let t={},n=JSON.parse(this.LS.getItem(this.keys.topology));if(n==null)throw new Error(`In local storage, the topology of model '${this.modelPath}' is missing.`);t.modelTopology=n;let a=JSON.parse(this.LS.getItem(this.keys.weightSpecs));if(a==null)throw new Error(`In local storage, the weight specs of model '${this.modelPath}' are missing.`);t.weightSpecs=a;let r=this.LS.getItem(this.keys.modelMetadata);if(r!=null){let i=JSON.parse(r);t.format=i.format,t.generatedBy=i.generatedBy,t.convertedBy=i.convertedBy,i.signature!=null&&(t.signature=i.signature),i.userDefinedMetadata!=null&&(t.userDefinedMetadata=i.userDefinedMetadata),i.modelInitializer!=null&&(t.modelInitializer=i.modelInitializer),i.trainingConfig!=null&&(t.trainingConfig=i.trainingConfig)}let s=this.LS.getItem(this.keys.weightData);if(s==null)throw new Error(`In local storage, the binary weight values of model '${this.modelPath}' are missing.`);return t.weightData=DD(s),t}};ai.URL_SCHEME="localstorage://";var mS=e=>H().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(ai.URL_SCHEME)?ZD(e.slice(ai.URL_SCHEME.length)):null;At.registerSaveRouter(mS);At.registerLoadRouter(mS);function ZD(e){return new ai(e)}var JD=class{constructor(){$(H().getBool("IS_BROWSER"),()=>"Current environment is not a web browser"),$(typeof window=="undefined"||typeof window.localStorage!="undefined",()=>"Current browser does not appear to support localStorage"),this.LS=window.localStorage}async listModels(){let e={},t=il+Tr,n=Tr+cS;for(let a=0;a"scheme must not be undefined or null."),e.endsWith(ul)&&(e=e.slice(0,e.indexOf(ul))),$(e.length>0,()=>"scheme must not be an empty string.");let n=Rn.getInstance();$(n.managers[e]==null,()=>`A model store manager is already registered for scheme '${e}'.`),n.managers[e]=t}static getManager(e){let t=Rn.getInstance().managers[e];if(t==null)throw new Error(`Cannot find model manager for scheme '${e}'`);return t}static getSchemes(){return Object.keys(Rn.getInstance().managers)}};function yh(e){if(e.indexOf(ul)===-1)throw new Error(`The url string provided does not contain a scheme. Supported schemes are: ${Rn.getSchemes().join(",")}`);return{scheme:e.split(ul)[0],path:e.split(ul)[1]}}async function fS(e,t,n=!1){$(e!==t,()=>`Old path and new path are the same: '${e}'`);let a=At.getLoadHandlers(e);$(a.length>0,()=>`Copying failed because no load handler is found for source URL ${e}.`),$(a.length<2,()=>`Copying failed because more than one (${a.length}) load handlers for source URL ${e}.`);let r=a[0],s=At.getSaveHandlers(t);$(s.length>0,()=>`Copying failed because no save handler is found for destination URL ${t}.`),$(s.length<2,()=>`Copying failed because more than one (${a.length}) save handlers for destination URL ${t}.`);let i=s[0],o=yh(e).scheme,l=yh(e).path,u=o===yh(e).scheme,p=await r.load();n&&u&&await Rn.getManager(o).removeModel(l);let d=await i.save(p);return n&&!u&&await Rn.getManager(o).removeModel(l),d.modelArtifactsInfo}async function QD(){let e=Rn.getSchemes(),t={};for(let n of e){let a=await Rn.getManager(n).listModels();for(let r in a){let s=n+ul+r;t[s]=a[r]}}return t}async function eR(e){let t=yh(e);return Rn.getManager(t.scheme).removeModel(t.path)}async function tR(e,t){return fS(e,t,!1)}async function nR(e,t){return fS(e,t,!0)}var aR=class{constructor(){this.messageName="setTimeoutCustom",this.functionRefs=[],this.handledMessageCount=0,this.hasEventListener=!1}fetch(e,t){return fetch(e,t)}now(){return performance.now()}encode(e,t){if(t!=="utf-8"&&t!=="utf8")throw new Error(`Browser's encoder only supports utf-8, but got ${t}`);return this.textEncoder==null&&(this.textEncoder=new TextEncoder),this.textEncoder.encode(e)}decode(e,t){return new TextDecoder(t).decode(e)}setTimeoutCustom(e,t){if(!window||!H().getBool("USE_SETTIMEOUTCUSTOM")){setTimeout(e,t);return}this.functionRefs.push(e),setTimeout(()=>{window.postMessage({name:this.messageName,index:this.functionRefs.length-1},"*")},t),this.hasEventListener||(this.hasEventListener=!0,window.addEventListener("message",n=>{if(n.source===window&&n.data.name===this.messageName){n.stopPropagation();let a=this.functionRefs[n.data.index];a(),this.handledMessageCount++,this.handledMessageCount===this.functionRefs.length&&(this.functionRefs=[],this.handledMessageCount=0)}},!0))}};if(H().get("IS_BROWSER")){H().setPlatform("browser",new aR);try{Rn.registerManager(ai.URL_SCHEME,new JD)}catch(e){}try{Rn.registerManager(ni.URL_SCHEME,new GD)}catch(e){}}var rR={importFetch:()=>hF()},hy,sR=class{constructor(){this.util=mF(),this.textEncoder=new this.util.TextEncoder}fetch(e,t){return H().global.fetch!=null?H().global.fetch(e,t):(hy==null&&(hy=rR.importFetch()),hy(e,t))}now(){let e=process.hrtime();return e[0]*1e3+e[1]/1e6}encode(e,t){if(t!=="utf-8"&&t!=="utf8")throw new Error(`Node built-in encoder only supports utf-8, but got ${t}`);return this.textEncoder.encode(e)}decode(e,t){return e.length===0?"":new this.util.TextDecoder(t).decode(e)}};H().get("IS_NODE")&&!H().get("IS_BROWSER")&&H().setPlatform("node",new sR);function Oe(e,t="float32",n){return t=t||"float32",Cx(e),new Ht(e,t,n)}function iR(e,t){let n=_(e,"x","cast");if(!BI(t))throw new Error(`Failed to cast to unknown dtype ${t}`);if(t==="string"&&n.dtype!=="string"||t!=="string"&&n.dtype==="string")throw new Error("Only strings can be casted to strings");let a={x:n},r={dtype:t};return O.runKernel(xi,a,r)}var oe=L({cast_:iR});function oR(e){let t={x:_(e,"x","clone","string_or_numeric")};return O.runKernel(Ri,t)}var sr=L({clone_:oR});function Ox(e,t=!1){console.log(e.toString(t))}nS();var lR={buffer:Oe,cast:oe,clone:sr,print:Ox};xD(lR);var Ut={};_e(Ut,{browserFiles:()=>fR,browserHTTPRequest:()=>vR,concatenateArrayBuffers:()=>Mx,copyModel:()=>tR,decodeWeights:()=>sS,encodeWeights:()=>AD,fromMemory:()=>kR,fromMemorySync:()=>vS,getLoadHandlers:()=>WD,getModelArtifactsForJSON:()=>Px,getModelArtifactsForJSONSync:()=>oS,getModelArtifactsInfoForJSON:()=>Ac,getSaveHandlers:()=>BD,getWeightSpecs:()=>lS,http:()=>zx,isHTTPScheme:()=>Oy,listModels:()=>QD,loadWeights:()=>gR,moveModel:()=>nR,registerLoadRouter:()=>zD,registerSaveRouter:()=>LD,removeModel:()=>eR,weightsLoaderFactory:()=>bS,withSaveHandler:()=>IR,withSaveHandlerSync:()=>SR});var uR="model",pR=".json",cR=".weights.bin";function ck(e){return new Promise(t=>setTimeout(t)).then(e)}var ml=class{constructor(e){if(!H().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a browser.");e.startsWith(ml.URL_SCHEME)&&(e=e.slice(ml.URL_SCHEME.length)),(e==null||e.length===0)&&(e=uR),this.modelJsonFileName=e+pR,this.weightDataFileName=e+cR}async save(e){if(typeof document=="undefined")throw new Error("Browser downloads are not supported in this environment since `document` is not present");let t=window.URL.createObjectURL(new Blob([e.weightData],{type:"application/octet-stream"}));if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");{let n=[{paths:["./"+this.weightDataFileName],weights:e.weightSpecs}],a=iS(e,n),r=window.URL.createObjectURL(new Blob([JSON.stringify(a)],{type:"application/json"})),s=this.modelJsonAnchor==null?document.createElement("a"):this.modelJsonAnchor;if(s.download=this.modelJsonFileName,s.href=r,await ck(()=>s.dispatchEvent(new MouseEvent("click"))),e.weightData!=null){let i=this.weightDataAnchor==null?document.createElement("a"):this.weightDataAnchor;i.download=this.weightDataFileName,i.href=t,await ck(()=>i.dispatchEvent(new MouseEvent("click")))}return{modelArtifactsInfo:Ac(e)}}}};ml.URL_SCHEME="downloads://";var dR=class{constructor(e){if(e==null||e.length<1)throw new Error(`When calling browserFiles, at least 1 file is required, but received ${e}`);this.jsonFile=e[0],this.weightsFiles=e.slice(1)}async load(){return new Promise((e,t)=>{let n=new FileReader;n.onload=a=>{let r=JSON.parse(a.target.result),s=r.modelTopology;if(s==null){t(new Error(`modelTopology field is missing from file ${this.jsonFile.name}`));return}if(r.weightsManifest==null){t(new Error(`weightManifest field is missing from file ${this.jsonFile.name}`));return}if(this.weightsFiles.length===0){e({modelTopology:s});return}let i=Px(r,o=>this.loadWeights(o));e(i)},n.onerror=a=>t(`Failed to read model topology and weights manifest JSON from file '${this.jsonFile.name}'. BrowserFiles supports loading Keras-style tf.Model artifacts only.`),n.readAsText(this.jsonFile)})}loadWeights(e){let t=[],n=[];for(let s of e)t.push(...s.weights),n.push(...s.paths);let a=this.checkManifestAndWeightFiles(e),r=n.map(s=>this.loadWeightsFile(s,a[s]));return Promise.all(r).then(s=>[t,Mx(s)])}loadWeightsFile(e,t){return new Promise((n,a)=>{let r=new FileReader;r.onload=s=>{let i=s.target.result;n(i)},r.onerror=s=>a(`Failed to weights data from file of path '${e}'.`),r.readAsArrayBuffer(t)})}checkManifestAndWeightFiles(e){let t=[],n=this.weightsFiles.map(r=>pk(r.name)),a={};for(let r of e)r.paths.forEach(s=>{let i=pk(s);if(t.indexOf(i)!==-1)throw new Error(`Duplicate file basename found in weights manifest: '${i}'`);if(t.push(i),n.indexOf(i)===-1)throw new Error(`Weight file with basename '${i}' is not provided.`);a[s]=this.weightsFiles[n.indexOf(i)]});if(t.length!==this.weightsFiles.length)throw new Error(`Mismatch in the number of files in weights manifest (${t.length}) and the number of weight files provided (${this.weightsFiles.length}).`);return a}},hR=e=>H().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(ml.URL_SCHEME)?mR(e.slice(ml.URL_SCHEME.length)):null;At.registerSaveRouter(hR);function mR(e="model"){return new ml(e)}function fR(e){return new dR(e)}function dk(e,t,n,a){i(e),n=n==null?0:n,a=a==null?1:a,o(n,a);let r=0,s=l=>(l.then(u=>{let p=n+ ++r/e.length*(a-n);return t(p),u}),l);function i(l){$(l!=null&&Array.isArray(l)&&l.length>0,()=>"promises must be a none empty array")}function o(l,u){$(l>=0&&l<=1,()=>`Progress fraction must be in range [0, 1], but got startFraction ${l}`),$(u>=0&&u<=1,()=>`Progress fraction must be in range [0, 1], but got endFraction ${u}`),$(u>=l,()=>`startFraction must be no more than endFraction, but got startFraction ${l} and endFraction ${u}`)}return Promise.all(e.map(s))}async function gS(e,t){t==null&&(t={});let n=t.fetchFunc==null?H().platform.fetch:t.fetchFunc,a=e.map(u=>n(u,t.requestInit,{isBinary:!0})),r=0,s=.5,i=(t.onProgress==null?await Promise.all(a):await dk(a,t.onProgress,r,s)).map(u=>u.arrayBuffer()),o=.5,l=1;return t.onProgress==null?await Promise.all(i):await dk(i,t.onProgress,o,l)}async function gR(e,t="",n,a){return bS(r=>gS(r,{requestInit:a}))(e,t,n)}function bS(e){return async(t,n="",a)=>{let r=t.map(()=>!1),s={},i=a!=null?a.map(()=>!1):[],o=[];if(t.forEach((h,m)=>{let f=0;h.weights.forEach(g=>{let b="quantization"in g?g.quantization.dtype:g.dtype,y=Dy[b]*mt(g.shape),x=()=>{r[m]=!0,s[m]==null&&(s[m]=[]),s[m].push({manifestEntry:g,groupOffset:f,sizeBytes:y})};a!=null?a.forEach((w,I)=>{w===g.name&&(x(),i[I]=!0)}):x(),o.push(g.name),f+=y})}),!i.every(h=>h)){let h=a.filter((m,f)=>!i[f]);throw new Error(`Could not find weights in manifest with names: ${h.join(", ")}. -Manifest JSON has weights with names: ${o.join(", ")}.`)}let l=r.reduce((h,m,f)=>(m&&h.push(f),h),[]),u=[];l.forEach(h=>{t[h].paths.forEach(m=>{let f=n+(n.endsWith("/")?"":"/")+m;u.push(f)})});let p=await e(u),d={},c=0;return l.forEach(h=>{let m=t[h].paths.length,f=0;for(let x=0;x{let w=g.slice(x.groupOffset,x.groupOffset+x.sizeBytes),I=sS(w,[x.manifestEntry]);for(let T in I)d[T]=I[T]}),c+=m}),d}}var bR="application/octet-stream",yR="application/json",Lx=class{constructor(e,t){if(this.DEFAULT_METHOD="POST",t==null&&(t={}),this.weightPathPrefix=t.weightPathPrefix,this.onProgress=t.onProgress,this.weightUrlConverter=t.weightUrlConverter,t.fetchFunc!=null?($(typeof t.fetchFunc=="function",()=>"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"),this.fetch=t.fetchFunc):this.fetch=H().platform.fetch,$(e!=null&&e.length>0,()=>"URL path for http must not be null, undefined or empty."),Array.isArray(e)&&$(e.length===2,()=>`URL paths for http must have a length of 2, (actual length is ${e.length}).`),this.path=e,t.requestInit!=null&&t.requestInit.body!=null)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=t.requestInit||{}}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");let t=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);t.body=new FormData;let n=[{paths:["./model.weights.bin"],weights:e.weightSpecs}],a=iS(e,n);t.body.append("model.json",new Blob([JSON.stringify(a)],{type:yR}),"model.json"),e.weightData!=null&&t.body.append("model.weights.bin",new Blob([e.weightData],{type:bR}),"model.weights.bin");let r=await this.fetch(this.path,t);if(r.ok)return{modelArtifactsInfo:Ac(e),responses:[r]};throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${r.status}.`)}async load(){let e=await this.fetch(this.path,this.requestInit);if(!e.ok)throw new Error(`Request to ${this.path} failed with status code ${e.status}. Please verify this URL points to the model JSON of the model to load.`);let t;try{t=await e.json()}catch(r){let s=`Failed to parse model JSON of response from ${this.path}.`;throw this.path.endsWith(".pb")?s+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.":s+=" Please make sure the server is serving valid JSON for this request.",new Error(s)}let n=t.modelTopology,a=t.weightsManifest;if(n==null&&a==null)throw new Error(`The JSON from HTTP path ${this.path} contains neither model topology or manifest for weights.`);return Px(t,r=>this.loadWeights(r))}async loadWeights(e){let t=Array.isArray(this.path)?this.path[1]:this.path,[n,a]=xR(t),r=this.weightPathPrefix||n,s=lS(e),i=[],o=[];for(let u of e)for(let p of u.paths)this.weightUrlConverter!=null?o.push(this.weightUrlConverter(p)):i.push(r+p+a);this.weightUrlConverter&&i.push(...await Promise.all(o));let l=await gS(i,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress});return[s,Mx(l)]}};Lx.URL_SCHEME_REGEX=/^https?:\/\//;function xR(e){let t=e.lastIndexOf("/"),n=e.lastIndexOf("?"),a=e.substring(0,t),r=n>t?e.substring(n):"";return[a+"/",r]}function Oy(e){return e.match(Lx.URL_SCHEME_REGEX)!=null}var yS=(e,t)=>{if(typeof fetch=="undefined"&&(t==null||t.fetchFunc==null))return null;{let n=!0;if(Array.isArray(e)?n=e.every(a=>Oy(a)):n=Oy(e),n)return zx(e,t)}return null};At.registerSaveRouter(yS);At.registerLoadRouter(yS);function zx(e,t){return new Lx(e,t)}function vR(e,t){return zx(e,t)}var my=class{constructor(e){this.modelArtifacts=e}load(){return this.modelArtifacts}},xS=class{constructor(e){this.saveHandler=e}save(e){return this.saveHandler(e)}},wR=class{constructor(e){e.load&&(this.load=()=>Promise.resolve(e.load())),e.save&&(this.save=t=>Promise.resolve(e.save(t)))}};function kR(e,t,n,a){let r=arguments;return new wR(vS(...r))}function vS(e,t,n,a){return arguments.length===1?e.modelTopology!=null||e.weightSpecs!=null?new my(e):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new my({modelTopology:e})):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new my({modelTopology:e,weightSpecs:t,weightData:n,trainingConfig:a}))}function IR(e){return new xS(e)}function SR(e){return new xS(e)}var wS={};_e(wS,{confusionMatrix:()=>HR});function TR(e,t,n=!1,a=!1){let r=_(e,"a","matMul"),s=_(t,"b","matMul");[r,s]=_t(r,s);let i={a:r,b:s},o={transposeA:n,transposeB:a};return O.runKernel(yi,i,o)}var Ae=L({matMul_:TR});function NR(e,t,n=1,a=0,r="int32"){if(t<2)throw new Error(`Error in oneHot: depth must be >=2, but it is ${t}`);let s={indices:_(e,"indices","oneHot","int32")},i={dtype:r,depth:t,onValue:n,offValue:a};return O.runKernel(Hi,s,i)}var fl=L({oneHot_:NR});function CR(){H().set("PROD",!0)}function _R(){H().set("DEBUG",!0)}function ER(){H().set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")}function Bx(e){H().getBool("DEPRECATION_WARNINGS_ENABLED")&&console.warn(e+" You can disable deprecation warnings with tf.disableDeprecationWarnings().")}vD(Bx);function AR(){O.disposeVariables()}function er(){return O}function Oh(){return O.memory()}function $R(e){return O.profile(e)}function P(e,t){return O.tidy(e,t)}function $e(e){Fx(e).forEach(t=>t.dispose())}function Zt(e){return O.keep(e)}function FR(e){return O.time(e)}function DR(e){return O.setBackend(e)}function RR(){return O.ready()}function MR(){return O.backendName}function PR(e){O.removeBackend(e)}function OR(e){return O.findBackend(e)}function LR(e){return O.findBackendFactory(e)}function Vm(e,t,n=1){return O.registerBackend(e,t,n)}function kS(){return O.backend}function zR(e,t){H().setPlatform(e,t)}function BR(e){let t={input:_(e,"input","imag")};return O.runKernel(Tm,t)}var $c=L({imag_:BR});function WR(e){let t={x:_(e,"x","neg")};return O.runKernel(pu,t)}var vt=L({neg_:WR});function VR(e){let t={input:_(e,"input","real")};return O.runKernel(Rm,t)}var gl=L({real_:VR});function UR(e,t,n){let a=_(e,"x","transpose");if(t==null&&(t=a.shape.map((i,o)=>o).reverse()),$(a.rank===t.length,()=>`Error in transpose: rank of input ${a.rank} must match length of perm ${t}.`),t.forEach(i=>{$(i>=0&&i`All entries in 'perm' must be between 0 and ${a.rank-1} but got ${t}`)}),a.rank<=1)return a.clone();let r={x:a},s={perm:t};return a.dtype==="complex64"?P(()=>{let i=gl(a),o=$c(a);return i=O.runKernel(_r,{x:i},s),o=O.runKernel(_r,{x:o},s),n&&(o=vt(o)),Ar(i,o)}):O.runKernel(_r,r,s)}var Ce=L({transpose_:UR});function GR(e,t,n){let a=_(e,"labels","confusionMatrix"),r=_(t,"predictions","confusionMatrix");$(n==null||n>0&&Number.isInteger(n),()=>`If provided, numClasses must be a positive integer, but got ${n}`),$(a.rank===1,()=>`Expected the rank of labels to be 1, but got ${a.rank}`),$(r.rank===1,()=>`Expected the rank of predictions to be 1, but got ${r.rank}`),$(a.shape[0]===r.shape[0],()=>`Mismatch in the number of examples: ${a.shape[0]} vs. ${r.shape[0]}. Labels and predictions should have the same number of elements.`),$(n>0&&Number.isInteger(n),()=>`numClasses is required to be a positive integer, but got ${n}`);let s=fl(oe(a,"int32"),n),i=fl(oe(r,"int32"),n),o=Ce(s),l=Ae(o,i);return oe(l,"int32")}var HR=L({confusionMatrix_:GR}),Mu={};_e(Mu,{assertAndGetBroadcastShape:()=>ut,getBroadcastDims:()=>IS,getReductionAxes:()=>Bt});function IS(e,t){let n=e.length,a=[];for(let r=0;r1&&i===1&&a.unshift(s)}return a}function Bt(e,t){let n=[];for(let a=0;a1)&&n.unshift(s)}return n}function ut(e,t){let n=[],a=Math.max(e.length,t.length);for(let r=0;rJR,fromPixelsAsync:()=>YR,toPixels:()=>ZR});function Fc(e,t,n){if(mi(e),t!=null&&t.length!==3)throw new Error("tensor3d() requires shape to have three numbers");let a=or(e,n);if(a.length!==3&&a.length!==1)throw new Error("tensor3d() requires values to be number[][][] or flat/TypedArray");if(a.length===1&&t==null)throw new Error("tensor3d() requires shape to be provided when `values` are a flat array");return xs(e,t,a,n)}var Os;function SS(e,t=3){if(t>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");if(e==null)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");let n=!1,a=!1,r=!1,s=!1,i=!1,o=!1;if(e.data instanceof Uint8Array)n=!0;else if(typeof ImageData!="undefined"&&e instanceof ImageData)a=!0;else if(typeof HTMLVideoElement!="undefined"&&e instanceof HTMLVideoElement)r=!0;else if(typeof HTMLImageElement!="undefined"&&e instanceof HTMLImageElement)s=!0;else if(e.getContext!=null)i=!0;else if(typeof ImageBitmap!="undefined"&&e instanceof ImageBitmap)o=!0;else throw new Error(`pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was ${e.constructor.name}`);if(Dh(Fh,O.backendName)!=null){let c={pixels:e},h={numChannels:t};return O.runKernel(Fh,c,h)}let[l,u]=r?[e.videoWidth,e.videoHeight]:[e.width,e.height],p;if(i)p=e.getContext("2d").getImageData(0,0,l,u).data;else if(a||n)p=e.data;else if(s||r||o){if(Os==null)if(typeof document=="undefined")if(typeof OffscreenCanvas!="undefined"&&typeof OffscreenCanvasRenderingContext2D!="undefined")Os=new OffscreenCanvas(1,1).getContext("2d");else throw new Error("Cannot parse input in current context. Reason: OffscreenCanvas Context2D rendering is not supported.");else Os=document.createElement("canvas").getContext("2d",{willReadFrequently:!0});Os.canvas.width=l,Os.canvas.height=u,Os.drawImage(e,0,0,l,u),p=Os.getImageData(0,0,l,u).data}let d;if(t===4)d=new Int32Array(p);else{let c=l*u;d=new Int32Array(c*t);for(let h=0;h4||s===2)throw new Error(`toPixels only supports depth of size 1, 3 or 4 but got ${s}`);if(n.dtype!=="float32"&&n.dtype!=="int32")throw new Error(`Unsupported type for toPixels: ${n.dtype}. Please use float32 or int32 tensors.`);let i=await n.data(),o=n.dtype==="float32"?255:1,l=new Uint8ClampedArray(r*a*4);for(let u=0;u1)throw new Error(`Tensor values for a float32 Tensor must be in the range [0 - 1] but encountered ${h}.`)}else if(n.dtype==="int32"&&(h<0||h>255))throw new Error(`Tensor values for a int32 Tensor must be in the range [0 - 255] but encountered ${h}.`);s===1?(p[0]=h*o,p[1]=h*o,p[2]=h*o):p[c]=h*o}let d=u*4;l[d+0]=Math.round(p[0]),l[d+1]=Math.round(p[1]),l[d+2]=Math.round(p[2]),l[d+3]=Math.round(p[3])}if(t!=null){t.width=r,t.height=a;let u=t.getContext("2d"),p=new ImageData(l,r,a);u.putImageData(p,0,0)}return n!==e&&n.dispose(),l}var JR=L({fromPixels_:SS}),Wx={};_e(Wx,{prepareAndValidate:()=>TS});function TS(e,t){let n=e.shape.length,a=t.shape.length;if(n<1)throw new Error(`tf.gatherND() expects the input to be rank 1 or higher, but the rank was ${n}.`);if(a<1)throw new Error(`tf.gatherND() expects the indices to be rank 1 or higher, but the rank was ${a}.`);if(t.dtype!=="int32")throw new Error(`tf.gatherND() expects the indices to be int32 type, but the dtype was ${t.dtype}.`);if(t.shape[a-1]>n)throw new Error(`index innermost dimension length must be <= tensor rank; saw: ${t.shape[a-1]} vs. ${n}`);if(mt(e.shape)===0)throw new Error(`Requested more than 0 entries, but input is empty. Input shape: ${e.shape}.`);let r=t.shape,s=r[r.length-1],i=1;for(let d=0;dd/u),1].slice(0,s);return[l,i,u,p]}var Vx={};_e(Vx,{calculateShapes:()=>NS,validateInput:()=>Gx,validateUpdateShape:()=>Ux});function Ux(e,t,n){let a=t.rank>1?t.shape[t.rank-1]:1,r=t.rank>1?t.rank-1:1,s=`Must have updates.shape = indices.shape[:batchDim] + shape[sliceDim:], got updates.shape: ${n.shape}, indices.shape: ${t.shape}, shape: ${e}, sliceDim: ${a}, and batchDim: ${r}.`;if(n.rank1?t.shape[a-1]:1,s=n.length,i=1;for(let d=r;deM,computeFlatOffset:()=>sM,computeOutShape:()=>nM,getNormalizedAxes:()=>aM,isSliceContinous:()=>rM,maskToAxes:()=>tM,parseSliceParams:()=>MS,sliceInfo:()=>iM,startForAxis:()=>DS,startIndicesWithElidedDims:()=>AS,stopForAxis:()=>RS,stopIndicesWithElidedDims:()=>$S,stridesForAxis:()=>FS,stridesWithElidedDims:()=>CS});var Ly=-2,QR=-1;function eM(e,t,n){let a=e.shape.length;$(a===t.length,()=>`Error in slice${a}D: Length of begin ${t} must match the rank of the array (${a}).`),$(a===n.length,()=>`Error in slice${a}D: Length of size ${n} must match the rank of the array (${a}).`);for(let r=0;r`Error in slice${a}D: begin[${r}] + size[${r}] (${t[r]+n[r]}) would overflow input.shape[${r}] (${e.shape[r]})`)}function tM(e){let t=[],n=0;for(;e>0;)e&1&&t.push(n),e/=2,n++;return t}function nM(e,t,n){let a=[];for(let r=0;r0){let h=t[0],m=n+1;p=AS(i,h,m,a,e),d=$S(o,h,m,r,e),c=CS(s,h,m,e)}else for(let h=0;h-1)s[o]=0;else{let l=_S(t,n,o),u=a[l];e&1<-1)s[o]=Number.MAX_SAFE_INTEGER;else{let l=_S(t,n,o),u=a[l];e&1<0?i=Number.MIN_SAFE_INTEGER:i=Number.MAX_SAFE_INTEGER);let l=a[r];return i<0&&(i+=l),i=Hp(0,i,l-1),i}function RS(e,t,n,a,r,s){let i=t[r],o=n[r]||1;(e&1<0?i=Number.MAX_SAFE_INTEGER:i=Number.MIN_SAFE_INTEGER);let l=a[r];return i<0&&(i+=l),o>0?i=Hp(0,i,l):i=Hp(-1,i,l-1),i}function rM(e,t,n){let a=n.length;for(let r=0;r1){a=r;break}for(let r=a+1;r0||n[r]!==e[r])return!1;return!0}function sM(e,t){let n=e.length>0?e[e.length-1]:1;for(let a=0;a{$(i!==-1,()=>"slice() does not support negative begin indexing.")});let s;return n==null?s=new Array(r).fill(-1):typeof n=="number"?s=[n,...new Array(r-1).fill(-1)]:n.lengthi>=0?i:($(i===-1,()=>`Negative size values should be exactly -1 but got ${i} for the slice() size at index ${o}.`),e.shape[o]-a[o])),[a,s]}function iM(e,t,n,a,r,s,i,o,l){let u;if(a==null?(u=new Array(t.length),u.fill(1)):u=a,i!=null&&(i&i-1)!==0)throw new Error("Multiple ellipses in slice is not allowed.");let p=!1,d={dims:u.length,numAddAxisAfterEllipsis:0,begin:t.slice(),end:n.slice(),strides:u.slice(),beginMask:r,endMask:s,ellipsisMask:i,newAxisMask:o,shrinkAxisMask:l};for(let y=0;y0?0:-1,c.strides[y]>0?w:w-1];if(x&&c.strides[y]<=0)throw Error("only stride 1 allowed on non-range indexing.");f=f&&c.strides[y]===1;let C=!!(c.beginMask&1<=w)throw Error(`slice index ${c.begin[y]} of dimension ${y} out of bounds.`)}else c.begin[y]=hk(c.begin[y],0,c.strides[y],w,I,T),c.end[y]=hk(c.end[y],1,c.strides[y],w,I,T);let R=c.strides[y]===1&&c.begin[y]===0&&c.end[y]===w;h=h&&R,m=m&&(y===0&&c.strides[y]===1||R)}else h=h&&c.strides[y]===1&&C,m=m&&(y===0&&c.strides[y]===1||C);let E,A=!1;if(c.beginValid&&c.endValid?(E=c.end[y]-c.begin[y],A=!0):x?(E=1,A=!0):C&&w>=0&&(c.strides[y]<0?E=-w:E=w,A=!0),A){let R;E===0||E<0!=c.strides[y]<0?R=0:R=Math.trunc(E/c.strides[y])+(E%c.strides[y]!==0?1:0),g.push(R)}else g.push(-1)}for(let y=0;y=0?b.push(g[x]):x===Ly&&b.push(1)}return{finalShapeSparse:b.filter((y,x)=>c.finalShapeGatherIndices[x]!==Ly),finalShape:b,isIdentity:h,sliceDim0:m,isSimpleSlice:f,begin:c.begin,end:c.end,strides:c.strides}}function oM(e,t){t.beginMask=0,t.endMask=0,t.shrinkAxisMask=0;let n=0;t.beginValid=e.begin!=null,t.endValid=e.end!=null,t.begin=new Array(t.dims),t.end=new Array(t.dims),t.strides=new Array(t.dims),t.finalShapeGatherIndices=[],t.finalShapeGatherIndicesSparse=[],t.inputShapeGatherIndicesSparse=new Array(t.dims);for(let a=0;a0?s[t]:s[t+1&1];{let i=e<0?a+e:e;return is[1]?s[1]:i}}var ne={};_e(ne,{Serializable:()=>PS,SerializationMap:()=>Vs,registerClass:()=>vs});var PS=class{getClassName(){return this.constructor.className}static fromConfig(e,t){return new e(t)}},Vs=class{constructor(){this.classNameMap={}}static getMap(){return Vs.instance==null&&(Vs.instance=new Vs),Vs.instance}static register(e){Vs.getMap().classNameMap[e.className]=[e,e.fromConfig]}};function vs(e){$(e.className!=null,()=>"Class being registered does not have the static className property defined."),$(typeof e.className=="string",()=>"className is required to be a string, but got type "+typeof e.className),$(e.className.length>0,()=>"Class being registered has an empty-string as its className, which is disallowed."),Vs.register(e)}var OS={};_e(OS,{TEST_EPSILON_FLOAT16:()=>LS,createVideoElement:()=>fM,encodeStrings:()=>zS,expectArrayBuffersEqual:()=>mM,expectArraysClose:()=>uM,expectArraysEqual:()=>cM,expectNumbersClose:()=>dM,expectPromiseToFail:()=>pM,expectValuesInRange:()=>hM,play:()=>gM,testEpsilon:()=>Hx});var lM=.001,LS=.1;function uM(e,t,n){return n==null&&(n=Hx()),zy(e,t,(a,r)=>jx(a,r,n))}function Hx(){return O.backend.floatPrecision()===32?lM:LS}function zy(e,t,n){let a=!0;if((dn(e)||dn(t))&&(a=!1),dn(e)&&dn(t)&&(a=!0),a){let i=e.constructor.name,o=t.constructor.name;if(i!==o)throw new Error(`Arrays are of different type. Actual: ${i}. Expected: ${o}`)}if(Array.isArray(e)&&Array.isArray(t)){let i=or(e),o=or(t);if(!ms(i,o))throw new Error(`Arrays have different shapes. Actual: [${i}]. Expected: [${o}]`)}let r=dn(e)?e:Js(e),s=dn(t)?t:Js(t);if(r.length!==s.length)throw new Error(`Arrays have different lengths actual: ${r.length} vs expected: ${s.length}. +`;return c[c.length-1]=" "+c[c.length-1]+"]"+(s?"":m),c}function Rp(e){let t=[];for(let n=0;n`Length of values '${a}' does not match the size inferred by the shape '${this.size}'.`)}if(t==="complex64")throw new Error("complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).");this.values=n||HI(t,this.size),this.strides=Fl(e)}set(e,...t){t.length===0&&(t=[0]),$(t.length===this.rank,()=>`The number of provided coordinates (${t.length}) must match the rank (${this.rank})`);let n=this.locToIndex(t);this.values[n]=e}get(...e){e.length===0&&(e=[0]);let t=0;for(let a of e){if(a<0||a>=this.shape[t]){let r=`Requested out of range element at ${e}. Buffer shape=${this.shape}`;throw new Error(r)}t++}let n=e[e.length-1];for(let a=0;aMh(n))}catch(n){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}}return e}dataToGPU(e){return this.throwIfDisposed(),Oa().readToGPU(this.dataId,e)}dataSync(){this.throwIfDisposed();let e=Oa().readSync(this.dataId);if(this.dtype==="string")try{return e.map(t=>Mh(t))}catch(t){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return e}async bytes(){this.throwIfDisposed();let e=await Oa().read(this.dataId);return this.dtype==="string"?e:new Uint8Array(e.buffer)}dispose(){this.isDisposed||(Oa().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(e=!1){return il.print(this,e)}clone(){return this.throwIfDisposed(),il.clone(this)}toString(e=!1){let t=this.dataSync();return ID(t,this.shape,this.dtype,e)}cast(e){return this.throwIfDisposed(),il.cast(this,e)}variable(e=!0,t,n){return this.throwIfDisposed(),Oa().makeVariable(this,e,t,n)}};Object.defineProperty(Te,Symbol.hasInstance,{value:e=>!!e&&e.data!=null&&e.dataSync!=null&&e.throwIfDisposed!=null});function J(){return Fx("Tensor",()=>Te)}J();var is=class extends Te{constructor(e,t,n,a){super(e.shape,e.dtype,e.dataId,a),this.trainable=t,this.name=n}assign(e){if(e.dtype!==this.dtype)throw new Error(`dtype of the new value (${e.dtype}) and previous value (${this.dtype}) must match`);if(!fs(e.shape,this.shape))throw new Error(`shape of the new value (${e.shape}) and previous value (${this.shape}) must match`);Oa().disposeTensor(this),this.dataId=e.dataId,Oa().incRef(this,null)}dispose(){Oa().disposeVariable(this),this.isDisposedInternal=!0}};Object.defineProperty(is,Symbol.hasInstance,{value:e=>e instanceof Te&&e.assign!=null&&e.assign instanceof Function});var Va={};Ae(Va,{assertTypesMatch:()=>oS,getTensorsInContainer:()=>Rx,isTensorInList:()=>AD,makeTypesMatch:()=>_t});var Ey;(function(e){e.R0="R0",e.R1="R1",e.R2="R2",e.R3="R3",e.R4="R4",e.R5="R5",e.R6="R6"})(Ey||(Ey={}));var Ay;(function(e){e.float32="float32",e.int32="int32",e.bool="int32",e.complex64="complex64"})(Ay||(Ay={}));var $y;(function(e){e.float32="float32",e.int32="int32",e.bool="bool",e.complex64="complex64"})($y||($y={}));var Fy;(function(e){e.float32="float32",e.int32="float32",e.bool="float32",e.complex64="complex64"})(Fy||(Fy={}));var Dy;(function(e){e.float32="complex64",e.int32="complex64",e.bool="complex64",e.complex64="complex64"})(Dy||(Dy={}));var ED={float32:Fy,int32:Ay,bool:$y,complex64:Dy};function fa(e,t){if(e==="string"||t==="string"){if(e==="string"&&t==="string")return"string";throw new Error(`Can not upcast ${e} with ${t}`)}return ED[e][t]}function Um(e){return fa(e,"int32")}function _t(e,t){if(e.dtype===t.dtype)return[e,t];let n=fa(e.dtype,t.dtype);return[e.cast(n),t.cast(n)]}function oS(e,t){$(e.dtype===t.dtype,()=>`The dtypes of the first(${e.dtype}) and second(${t.dtype}) input must match`)}function AD(e,t){return t.some(n=>n.id===e.id)}function Rx(e){let t=[];return lS(e,t,new Set),t}function lS(e,t,n){if(e==null)return;if(e instanceof Te){t.push(e);return}if(!$D(e))return;let a=e;for(let r in a){let s=a[r];n.has(s)||(n.add(s),lS(s,t,n))}}function $D(e){return Array.isArray(e)||typeof e=="object"}function my(e){return e.kernelName!=null}var ck=class{constructor(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null,get kernelNames(){return Array.from(new Set(this.kernels.map(e=>e.name)))}}}dispose(){for(let e in this.registeredVariables)this.registeredVariables[e].dispose()}},Zp=class{constructor(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new ck}async ready(){if(this.pendingBackendInit!=null)return this.pendingBackendInit.then(()=>{});if(this.backendInstance!=null)return;let e=this.getSortedBackends();for(let t=0;t{e.setupFunc!=null&&e.setupFunc(this.backendInstance)})}disposeRegisteredKernels(e){Rh(e).forEach(t=>{t.disposeFunc!=null&&t.disposeFunc(this.registry[e])})}initializeBackend(e){let t=this.registryFactory[e];if(t==null)throw new Error(`Cannot initialize backend ${e}, no registration found.`);try{let n=t.factory();if(n&&!(n instanceof pc)&&typeof n.then=="function"){let a=++this.pendingBackendInitId,r=n.then(s=>a(athis.registryFactory[t].priority-this.registryFactory[e].priority)}initializeBackendsAndReturnBest(){let e=this.getSortedBackends();for(let t=0;tthis.startScope(n),()=>this.endScope(a),()=>(a=t(),a instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),a))}scopedRun(e,t,n){e();try{let a=n();return t(),a}catch(a){throw t(),a}}nextTensorId(){return Zp.nextTensorId++}nextVariableId(){return Zp.nextVariableId++}clone(e){let t=O.runKernel(Ri,{x:e}),n={x:e},a=s=>({x:()=>{let i="float32",o={x:s},l={dtype:i};return O.runKernel(xi,o,l)}}),r=[];return this.addTapeNode(this.state.activeScope.name,n,[t],a,r,{}),t}runKernel(e,t,n){if(this.backendName==null&&this.backend,Dh(e,this.backendName)==null)throw new Error(`Kernel '${e}' not registered for backend '${this.backendName}'`);return this.runKernelFunc({kernelName:e,inputs:t,attrs:n})}shouldCheckForMemLeaks(){return this.ENV.getBool("IS_TEST")}checkKernelForMemLeak(e,t,n){let a=this.backend.numDataIds(),r=0;n.forEach(o=>{r+=o.dtype==="complex64"?3:1});let s=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],i=a-t-r-s;if(i>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${i} data ids) after running '${e}'`)}runKernelFunc(e){let t,n=[],a=this.isTapeOn(),r=this.state.numBytes,s=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);let i;this.backendName==null&&this.backend;let o,l=my(e)?e.kernelName:this.state.activeScope!=null?this.state.activeScope.name:"";if(my(e)){let{kernelName:h,inputs:m,attrs:f}=e;this.backendName==null&&this.backend;let g=Dh(h,this.backendName);$(g!=null,()=>`Cannot find registered kernel '${h}' for backend '${this.backendName}'`),i=()=>{let b=this.backend.numDataIds();o=g.kernelFunc({inputs:m,attrs:f,backend:this.backend});let y=Array.isArray(o)?o:[o];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(h,b,y);let x=y.map(w=>w.rank!=null?w:this.makeTensorFromTensorInfo(w));if(a){let w=this.getTensorsForGradient(h,m,x);n=this.saveTensorsForBackwardMode(w)}return x}}else{let{forwardFunc:h}=e,m=f=>{!a||(n=f.map(g=>this.keep(this.clone(g))))};i=()=>{let f=this.backend.numDataIds();o=this.tidy(()=>h(this.backend,m));let g=Array.isArray(o)?o:[o];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(l,f,g),g}}let{inputs:u,attrs:p}=e,d=my(e)?null:e.backwardsFunc,c;return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{!this.ENV.getBool("DEBUG")&&!this.state.profiling?t=i():(c=this.profiler.profileKernel(l,u,()=>i()),this.ENV.getBool("DEBUG")&&this.profiler.logKernelProfile(c),t=c.outputs)}),a&&this.addTapeNode(l,u,t,d,n,p),this.state.profiling&&this.state.activeProfile.kernels.push({name:l,bytesAdded:this.state.numBytes-r,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-s,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(u).map(h=>u[h]!=null?u[h].shape:null),outputShapes:t.map(h=>h.shape),kernelTimeMs:c.timeMs,extraInfo:c.extraInfo}),Array.isArray(o)?t:t[0]}saveTensorsForBackwardMode(e){return e.map(t=>this.keep(this.clone(t)))}getTensorsForGradient(e,t,n){let a=Cy(e);if(a!=null){let r=a.inputsToSave||[],s=a.outputsToSave||[],i;a.saveAllInputs?($(Array.isArray(t),()=>"saveAllInputs is true, expected inputs to be an array."),i=Object.keys(t).map(l=>t[l])):i=r.map(l=>t[l]);let o=n.filter((l,u)=>s[u]);return i.concat(o)}return[]}makeTensor(e,t,n,a){if(e==null)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",a=a||this.backend;let r=e;n==="string"&&Qr(e[0])&&(r=e.map(o=>Ac(o)));let s=a.write(r,t,n),i=new Te(t,n,s,this.nextTensorId());if(this.trackTensor(i,a),n==="string"){let o=this.state.tensorInfo.get(s),l=KI(r);this.state.numBytes+=l-o.bytes,o.bytes=l}return i}makeTensorFromDataId(e,t,n,a){n=n||"float32";let r={dataId:e,shape:t,dtype:n};return this.makeTensorFromTensorInfo(r,a)}makeTensorFromTensorInfo(e,t){let{dataId:n,shape:a,dtype:r}=e,s=new Te(a,r,n,this.nextTensorId());return this.trackTensor(s,t),s}makeVariable(e,t=!0,n,a){n=n||this.nextVariableId().toString(),a!=null&&a!==e.dtype&&(e=e.cast(a));let r=new is(e,t,n,this.nextTensorId());if(this.state.registeredVariables[r.name]!=null)throw new Error(`Variable with name ${r.name} was already registered`);return this.state.registeredVariables[r.name]=r,this.incRef(r,this.backend),r}trackTensor(e,t){this.state.numTensors++,e.dtype==="string"&&this.state.numStringTensors++;let n=0;e.dtype!=="complex64"&&e.dtype!=="string"&&(n=e.size*Ny(e.dtype)),this.state.numBytes+=n,this.state.tensorInfo.has(e.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:n})),e instanceof is||this.track(e)}incRef(e,t){this.trackTensor(e,t),this.backend.incRef(e.dataId)}removeDataId(e,t){this.state.tensorInfo.has(e)&&this.state.tensorInfo.get(e).backend===t&&(this.state.tensorInfo.delete(e),this.state.numDataBuffers--)}disposeTensor(e){if(!this.state.tensorInfo.has(e.dataId))return;let t=this.state.tensorInfo.get(e.dataId);if(this.state.numTensors--,e.dtype==="string"&&(this.state.numStringTensors--,this.state.numBytes-=t.bytes),e.dtype!=="complex64"&&e.dtype!=="string"){let n=e.size*Ny(e.dtype);this.state.numBytes-=n}t.backend.disposeData(e.dataId)&&this.removeDataId(e.dataId,t.backend)}disposeVariables(){for(let e in this.state.registeredVariables){let t=this.state.registeredVariables[e];this.disposeVariable(t)}}disposeVariable(e){this.disposeTensor(e),this.state.registeredVariables[e.name]!=null&&delete this.state.registeredVariables[e.name]}memory(){let e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,e.reasons==null&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e}async profile(e){this.state.profiling=!0;let t=this.state.numBytes,n=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await e(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map(a=>a.totalBytesSnapshot)),this.state.activeProfile.newBytes=this.state.numBytes-t,this.state.activeProfile.newTensors=this.state.numTensors-n;for(let a of this.state.activeProfile.kernels)a.kernelTimeMs=await a.kernelTimeMs,a.extraInfo=await a.extraInfo;return this.state.activeProfile}isTapeOn(){return this.state.gradientDepth>0&&this.state.kernelDepth===0}addTapeNode(e,t,n,a,r,s){let i={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:n,saved:r},o=Cy(e);o!=null&&(a=o.gradFunc),a!=null&&(i.gradient=l=>(l=l.map((u,p)=>{if(u==null){let d=n[p],c=um(d.size,d.dtype);return this.makeTensor(c,d.shape,d.dtype)}return u}),a(l.length>1?l:l[0],r,s))),this.state.activeTape.push(i)}keep(e){return e.kept=!0,e}startTape(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++}endTape(){this.state.gradientDepth--}startScope(e){let t={track:[],name:"unnamed scope",id:this.state.nextScopeId++};e&&(t.name=e),this.state.scopeStack.push(t),this.state.activeScope=t}endScope(e){let t=Rx(e),n=new Set(t.map(r=>r.id));for(let r=0;r{!r.kept&&r.scopeId===a.id&&this.track(r)})}gradients(e,t,n,a=!1){if($(t.length>0,()=>"gradients() received an empty list of xs."),n!=null&&n.dtype!=="float32")throw new Error(`dy must have 'float32' dtype, but has '${n.dtype}'`);let r=this.scopedRun(()=>this.startTape(),()=>this.endTape(),()=>this.tidy("forward",e));$(r instanceof Te,()=>"The result y returned by f() must be a tensor.");let s=wD(this.state.activeTape,t,r);if(!a&&s.length===0&&t.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",()=>{let i={};i[r.id]=n==null?FD(r.shape):n,kD(i,s,l=>this.tidy(l),DD);let o=t.map(l=>i[l.id]);return this.state.gradientDepth===0&&(this.state.activeTape.forEach(l=>{for(let u of l.saved)u.dispose()}),this.state.activeTape=null),{value:r,grads:o}})}customGrad(e){return $(ss(e),()=>"The f passed in customGrad(f) must be a function."),(...t)=>{$(t.every(i=>i instanceof Te),()=>"The args passed in customGrad(f)(x1, x2,...) must all be tensors");let n,a={};t.forEach((i,o)=>{a[o]=i});let r=(i,o)=>(n=e(...t,o),$(n.value instanceof Te,()=>"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"),$(ss(n.gradFunc),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."),n.value),s=(i,o)=>{let l=n.gradFunc(i,o),u=Array.isArray(l)?l:[l];$(u.length===t.length,()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."),$(u.every(d=>d instanceof Te),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.");let p={};return u.forEach((d,c)=>{p[c]=()=>d}),p};return this.runKernelFunc({forwardFunc:r,backwardsFunc:s,inputs:a})}}readSync(e){return this.state.tensorInfo.get(e).backend.readSync(e)}read(e){return this.state.tensorInfo.get(e).backend.read(e)}readToGPU(e,t){return this.state.tensorInfo.get(e).backend.readToGPU(e,t)}async time(e){let t=Yp(),n=await this.backend.time(e);return n.wallMs=Yp()-t,n}track(e){return this.state.activeScope!=null&&(e.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(e)),e}get registeredVariables(){return this.state.registeredVariables}reset(){this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new ck;for(let e in this.registry)this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null}};Zp.nextTensorId=0;Zp.nextVariableId=0;function FD(e){let t=_x(mt(e),"float32");return O.makeTensor(t,e,"float32")}function uS(){let e=QI();if(e._tfengine==null){let t=new JI(e);e._tfengine=new Zp(t)}return tD(e._tfengine.ENV),ND(()=>e._tfengine),e._tfengine}var O=uS();function DD(e,t){let n={a:e,b:t};return O.runKernel(gs,n)}var $c={};Ae($c,{isBrowser:()=>pS,isMobile:()=>PD,mockIsMobile:()=>MD});function RD(){return typeof navigator!="undefined"&&navigator!=null}var Ry;function MD(e){Ry=e}function PD(e){if(Ry!==void 0)return Ry;if(e||RD()){if(e||(e=navigator),e.product==="ReactNative")return!0;let t=e.userAgent||e.vendor||(typeof window!="undefined"?window.opera:"");if(!t){let n=e;return n.userAgentData&&n.userAgentData.mobile}return/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i.test(t)||/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i.test(t.substr(0,4))}return!1}function pS(){return typeof window!="undefined"&&window.document!=null||typeof WorkerGlobalScope!="undefined"}var Qn=H();Qn.registerFlag("DEBUG",()=>!1,e=>{e&&console.warn("Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.")});Qn.registerFlag("IS_BROWSER",()=>pS());Qn.registerFlag("IS_NODE",()=>typeof process!="undefined"&&typeof process.versions!="undefined"&&typeof process.versions.node!="undefined");Qn.registerFlag("IS_CHROME",()=>typeof navigator!="undefined"&&navigator!=null&&navigator.userAgent!=null&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor));Qn.registerFlag("PROD",()=>!1);Qn.registerFlag("TENSORLIKE_CHECK_SHAPE_CONSISTENCY",()=>Qn.getBool("DEBUG"));Qn.registerFlag("DEPRECATION_WARNINGS_ENABLED",()=>!0);Qn.registerFlag("IS_TEST",()=>!1);Qn.registerFlag("CHECK_COMPUTATION_FOR_ERRORS",()=>!0);Qn.registerFlag("WRAP_TO_IMAGEBITMAP",()=>!1);Qn.registerFlag("ENGINE_COMPILE_ONLY",()=>!1);Qn.registerFlag("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU",()=>!1);Qn.registerFlag("USE_SETTIMEOUTCUSTOM",()=>!1);function lr(e,t){let n=e;if(hn(e))return t==="string"?[]:[e.length];if(typeof e=="object"&&"texture"in e){let r=e.channels||"RGBA";return[e.height,e.width*r.length]}if(!Array.isArray(e))return[];let a=[];for(;Array.isArray(n)||hn(n)&&t!=="string";)a.push(n.length),n=n[0];return Array.isArray(e)&&H().getBool("TENSORLIKE_CHECK_SHAPE_CONSISTENCY")&&cS(e,a,[]),a}function cS(e,t,n){if(n=n||[],!Array.isArray(e)&&!hn(e)){$(t.length===0,()=>`Element arr[${n.join("][")}] is a primitive, but should be an array/TypedArray of ${t[0]} elements`);return}$(t.length>0,()=>`Element arr[${n.join("][")}] should be a primitive, but is an array of ${e.length} elements`),$(e.length===t[0],()=>`Element arr[${n.join("][")}] should have ${t[0]} elements, but has ${e.length} elements`);let a=t.slice(1);for(let r=0;r=0&&(r=a),dk(a,r,t,n),e==null||!hn(e)&&!Array.isArray(e)&&typeof e!="number"&&typeof e!="boolean"&&typeof e!="string"){let o=e==null?"null":e.constructor.name;throw new Error(`Argument '${t}' passed to '${n}' must be a Tensor or TensorLike, but got '${o}'`)}let s=lr(e,r);!hn(e)&&!Array.isArray(e)&&(e=[e]);let i=r!=="string"?Vm(e,r):Js(e,[],!0);return O.makeTensor(i,s,r)}function Jp(e,t,n,a="numeric"){if(!Array.isArray(e))throw new Error(`Argument ${t} passed to ${n} must be a \`Tensor[]\` or \`TensorLike[]\``);return e.map((r,s)=>_(r,`${t}[${s}]`,n,a))}var Mx="__op";function L(e){let t=Object.keys(e);if(t.length!==1)throw new Error(`Please provide an object with a single key (operation name) mapping to a function. Got an object with ${t.length} keys.`);let n=t[0],a=e[n];n.endsWith("_")&&(n=n.substring(0,n.length-1)),n=n+Mx;let r=(...s)=>{O.startScope(n);try{let i=a(...s);return Ax(i)&&console.error("Cannot return a Promise inside of tidy."),O.endScope(i),i}catch(i){throw O.endScope(null),i}};return Object.defineProperty(r,"name",{value:n,configurable:!0}),r}function OD(e,t){let n=_(e,"real","complex"),a=_(t,"imag","complex");Tn(n.shape,a.shape,`real and imag shapes, ${n.shape} and ${a.shape}, must match in call to tf.complex().`);let r={real:n,imag:a};return O.runKernel(mm,r)}var Ar=L({complex_:OD});function vs(e,t,n,a){if(a==null&&(a=lm(e)),a==="complex64")throw new Error("Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).");if(typeof e=="object"&&"texture"in e){if(a!=="float32"&&a!=="int32")throw new Error(`Creating tensor from texture only supports 'float32'|'int32' dtype, while the dtype is ${a}.`);return e.channels=e.channels||"RGBA",O.backend.createTensorFromTexture(e,t||n,a)}if(!hn(e)&&!Array.isArray(e)&&typeof e!="number"&&typeof e!="boolean"&&typeof e!="string")throw new Error("values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray");if(t!=null){Ex(t);let r=mt(t),s=mt(n);$(r===s,()=>`Based on the provided shape, [${t}], the tensor should have ${r} values but has ${s}`);for(let i=0;i`Error creating a new Tensor. Inferred shape (${n}) does not match the provided shape (${t}). `)}}return!hn(e)&&!Array.isArray(e)&&(e=[e]),t=t||n,e=a!=="string"?Vm(e,a):Js(e,[],!0),O.makeTensor(e,t,a)}function In(e,t,n){let a=lr(e,n);return vs(e,t,a,n)}var My={float32:4,float16:2,int32:4,uint16:2,uint8:1,bool:1,complex64:8},Ph=4;async function LD(e,t){let n=[],a=[],r=Array.isArray(e)?e.map(i=>i.name):Object.keys(e);for(let i=0;i{let c=await l.bytes(),h=c.reduce((g,b)=>g+b.length,0)+Ph*c.length,m=new Uint8Array(h),f=0;for(let g=0;g{if(t+=s.byteLength,n.push(s.byteLength===s.buffer.byteLength?s:new s.constructor(s)),!(s instanceof Float32Array||s instanceof Int32Array||s instanceof Uint8Array))throw new Error(`Unsupported TypedArray subtype: ${s.constructor.name}`)});let a=new Uint8Array(t),r=0;return n.forEach(s=>{a.set(new Uint8Array(s.buffer),r),r+=s.byteLength}),a.buffer}var Px=typeof Buffer!="undefined"&&(typeof Blob=="undefined"||typeof atob=="undefined"||typeof btoa=="undefined");function hk(e){return Px?Buffer.byteLength(e):new Blob([e]).size}function WD(e){if(Px)return Buffer.from(e).toString("base64");let t=new Uint8Array(e),n="";for(let a=0,r=t.length;a{t+=r.byteLength});let n=new Uint8Array(t),a=0;return e.forEach(r=>{n.set(new Uint8Array(r),a),a+=r.byteLength}),n.buffer}function mk(e){let t="/";for(e=e.trim();e.endsWith(t);)e=e.slice(0,e.length-1);let n=e.split(t);return n[n.length-1]}function hS(e,t){let n={modelTopology:e.modelTopology,format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,weightsManifest:t};return e.signature!=null&&(n.signature=e.signature),e.userDefinedMetadata!=null&&(n.userDefinedMetadata=e.userDefinedMetadata),e.modelInitializer!=null&&(n.modelInitializer=e.modelInitializer),e.initializerSignature!=null&&(n.initializerSignature=e.initializerSignature),e.trainingConfig!=null&&(n.trainingConfig=e.trainingConfig),n}function mS(e,t,n){let a={modelTopology:e.modelTopology,format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy};if(e.trainingConfig!=null&&(a.trainingConfig=e.trainingConfig),e.weightsManifest!=null){if(!t)throw new Error("modelJSON has weightsManifest but weightSpecs is null");if(!n)throw new Error("modelJSON has weightsManifest but weightData is null");a.weightSpecs=t,a.weightData=n}return e.signature!=null&&(a.signature=e.signature),e.userDefinedMetadata!=null&&(a.userDefinedMetadata=e.userDefinedMetadata),e.modelInitializer!=null&&(a.modelInitializer=e.modelInitializer),e.initializerSignature!=null&&(a.initializerSignature=e.initializerSignature),a}async function Lx(e,t){let n,a;return e.weightsManifest!=null&&([n,a]=await t(e.weightsManifest)),mS(e,n,a)}function Fc(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("Expected JSON model topology, received ArrayBuffer.");return{dateSaved:new Date,modelTopologyType:"JSON",modelTopologyBytes:e.modelTopology==null?0:hk(JSON.stringify(e.modelTopology)),weightSpecsBytes:e.weightSpecs==null?0:hk(JSON.stringify(e.weightSpecs)),weightDataBytes:e.weightData==null?0:e.weightData.byteLength}}function fS(e){let t=[];for(let n of e)t.push(...n.weights);return t}function VD(){let e=n=>{let a=n<<13,r=0;for(;(a&8388608)===0;)r-=8388608,a<<=1;return a&=-8388609,r+=947912704,a|r},t=new Uint32Array(2048);t[0]=0;for(let n=1;n<1024;n++)t[n]=e(n);for(let n=1024;n<2048;n++)t[n]=939524096+(n-1024<<13);return t}function UD(){let e=new Uint32Array(64);e[0]=0,e[31]=1199570944,e[32]=2147483648,e[63]=3347054592;for(let t=1;t<31;t++)e[t]=t<<23;for(let t=33;t<63;t++)e[t]=2147483648+(t-32<<23);return e}function GD(){let e=new Uint32Array(64);for(let t=0;t<64;t++)e[t]=1024;return e[0]=e[32]=0,e}function HD(){let e=VD(),t=UD(),n=GD();return a=>{let r=new ArrayBuffer(4*a.length),s=new Uint32Array(r);for(let i=0;i>10]+(o&1023)]+t[o>>10];s[i]=l}return new Float32Array(r)}}var At=class{constructor(){this.saveRouters=[],this.loadRouters=[]}static getInstance(){return At.instance==null&&(At.instance=new At),At.instance}static registerSaveRouter(e){At.getInstance().saveRouters.push(e)}static registerLoadRouter(e){At.getInstance().loadRouters.push(e)}static getSaveHandlers(e){return At.getHandlers(e,"save")}static getLoadHandlers(e,t){return At.getHandlers(e,"load",t)}static getHandlers(e,t,n){let a=[];return(t==="load"?At.getInstance().loadRouters:At.getInstance().saveRouters).forEach(r=>{let s=r(e,n);s!==null&&a.push(s)}),a}},jD=e=>At.registerSaveRouter(e),qD=e=>At.registerLoadRouter(e),KD=e=>At.getSaveHandlers(e),XD=(e,t)=>At.getLoadHandlers(e,t),Py="tensorflowjs",Oy=1,Hs="models_store",es="model_info_store";function gS(){if(!H().getBool("IS_BROWSER"))throw new Error("Failed to obtain IndexedDB factory because the current environmentis not a web browser.");let e=typeof window=="undefined"?self:window,t=e.indexedDB||e.mozIndexedDB||e.webkitIndexedDB||e.msIndexedDB||e.shimIndexedDB;if(t==null)throw new Error("The current browser does not appear to support IndexedDB.");return t}function Ly(e){let t=e.result;t.createObjectStore(Hs,{keyPath:"modelPath"}),t.createObjectStore(es,{keyPath:"modelPath"})}var ni=class{constructor(e){if(this.indexedDB=gS(),e==null||!e)throw new Error("For IndexedDB, modelPath must not be null, undefined or empty.");this.modelPath=e}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");return this.databaseAction(this.modelPath,e)}async load(){return this.databaseAction(this.modelPath)}databaseAction(e,t){return new Promise((n,a)=>{let r=this.indexedDB.open(Py,Oy);r.onupgradeneeded=()=>Ly(r),r.onsuccess=()=>{let s=r.result;if(t==null){let i=s.transaction(Hs,"readonly"),o=i.objectStore(Hs).get(this.modelPath);o.onsuccess=()=>{if(o.result==null)return s.close(),a(new Error(`Cannot find model with path '${this.modelPath}' in IndexedDB.`));n(o.result.modelArtifacts)},o.onerror=l=>(s.close(),a(o.error)),i.oncomplete=()=>s.close()}else{let i=Fc(t),o=s.transaction(es,"readwrite"),l=o.objectStore(es),u=l.put({modelPath:this.modelPath,modelArtifactsInfo:i}),p;u.onsuccess=()=>{p=s.transaction(Hs,"readwrite");let d=p.objectStore(Hs).put({modelPath:this.modelPath,modelArtifacts:t,modelArtifactsInfo:i});d.onsuccess=()=>n({modelArtifactsInfo:i}),d.onerror=c=>{l=o.objectStore(es);let h=l.delete(this.modelPath);h.onsuccess=()=>(s.close(),a(d.error)),h.onerror=m=>(s.close(),a(d.error))}},u.onerror=d=>(s.close(),a(u.error)),o.oncomplete=()=>{p==null?s.close():p.oncomplete=()=>s.close()}}},r.onerror=s=>a(r.error)})}};ni.URL_SCHEME="indexeddb://";var bS=e=>H().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(ni.URL_SCHEME)?YD(e.slice(ni.URL_SCHEME.length)):null;At.registerSaveRouter(bS);At.registerLoadRouter(bS);function YD(e){return new ni(e)}function ZD(e){return e.startsWith(ni.URL_SCHEME)?e.slice(ni.URL_SCHEME.length):e}var JD=class{constructor(){this.indexedDB=gS()}async listModels(){return new Promise((e,t)=>{let n=this.indexedDB.open(Py,Oy);n.onupgradeneeded=()=>Ly(n),n.onsuccess=()=>{let a=n.result,r=a.transaction(es,"readonly"),s=r.objectStore(es).getAll();s.onsuccess=()=>{let i={};for(let o of s.result)i[o.modelPath]=o.modelArtifactsInfo;e(i)},s.onerror=i=>(a.close(),t(s.error)),r.oncomplete=()=>a.close()},n.onerror=a=>t(n.error)})}async removeModel(e){return e=ZD(e),new Promise((t,n)=>{let a=this.indexedDB.open(Py,Oy);a.onupgradeneeded=()=>Ly(a),a.onsuccess=()=>{let r=a.result,s=r.transaction(es,"readwrite"),i=s.objectStore(es),o=i.get(e),l;o.onsuccess=()=>{if(o.result==null)return r.close(),n(new Error(`Cannot find model with path '${e}' in IndexedDB.`));{let u=i.delete(e),p=()=>{l=r.transaction(Hs,"readwrite");let d=l.objectStore(Hs).delete(e);d.onsuccess=()=>t(o.result.modelArtifactsInfo),d.onerror=c=>n(o.error)};u.onsuccess=p,u.onerror=d=>(p(),r.close(),n(o.error))}},o.onerror=u=>(r.close(),n(o.error)),s.oncomplete=()=>{l==null?r.close():l.oncomplete=()=>r.close()}},a.onerror=r=>n(a.error)})}},Nr="/",ol="tensorflowjs_models",yS="info",QD="model_topology",eR="weight_specs",tR="weight_data",nR="model_metadata";function xS(e){return{info:[ol,e,yS].join(Nr),topology:[ol,e,QD].join(Nr),weightSpecs:[ol,e,eR].join(Nr),weightData:[ol,e,tR].join(Nr),modelMetadata:[ol,e,nR].join(Nr)}}function vS(e){for(let t of Object.values(e))window.localStorage.removeItem(t)}function aR(e){let t=e.split(Nr);if(t.length<3)throw new Error(`Invalid key format: ${e}`);return t.slice(1,t.length-1).join(Nr)}function rR(e){return e.startsWith(ai.URL_SCHEME)?e.slice(ai.URL_SCHEME.length):e}var ai=class{constructor(e){if(!H().getBool("IS_BROWSER")||typeof window=="undefined"||typeof window.localStorage=="undefined")throw new Error("The current environment does not support local storage.");if(this.LS=window.localStorage,e==null||!e)throw new Error("For local storage, modelPath must not be null, undefined or empty.");this.modelPath=e,this.keys=xS(this.modelPath)}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");{let t=JSON.stringify(e.modelTopology),n=JSON.stringify(e.weightSpecs),a=Fc(e);try{this.LS.setItem(this.keys.info,JSON.stringify(a)),this.LS.setItem(this.keys.topology,t),this.LS.setItem(this.keys.weightSpecs,n),this.LS.setItem(this.keys.weightData,WD(e.weightData));let r={format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,signature:e.signature!=null?e.signature:void 0,userDefinedMetadata:e.userDefinedMetadata!=null?e.userDefinedMetadata:void 0,modelInitializer:e.modelInitializer!=null?e.modelInitializer:void 0,initializerSignature:e.initializerSignature!=null?e.initializerSignature:void 0,trainingConfig:e.trainingConfig!=null?e.trainingConfig:void 0};return this.LS.setItem(this.keys.modelMetadata,JSON.stringify(r)),{modelArtifactsInfo:a}}catch(r){throw vS(this.keys),new Error(`Failed to save model '${this.modelPath}' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=${a.modelTopologyBytes}, weightSpecsBytes=${a.weightSpecsBytes}, weightDataBytes=${a.weightDataBytes}.`)}}}async load(){let e=JSON.parse(this.LS.getItem(this.keys.info));if(e==null)throw new Error(`In local storage, there is no model with name '${this.modelPath}'`);if(e.modelTopologyType!=="JSON")throw new Error("BrowserLocalStorage does not support loading non-JSON model topology yet.");let t={},n=JSON.parse(this.LS.getItem(this.keys.topology));if(n==null)throw new Error(`In local storage, the topology of model '${this.modelPath}' is missing.`);t.modelTopology=n;let a=JSON.parse(this.LS.getItem(this.keys.weightSpecs));if(a==null)throw new Error(`In local storage, the weight specs of model '${this.modelPath}' are missing.`);t.weightSpecs=a;let r=this.LS.getItem(this.keys.modelMetadata);if(r!=null){let i=JSON.parse(r);t.format=i.format,t.generatedBy=i.generatedBy,t.convertedBy=i.convertedBy,i.signature!=null&&(t.signature=i.signature),i.userDefinedMetadata!=null&&(t.userDefinedMetadata=i.userDefinedMetadata),i.modelInitializer!=null&&(t.modelInitializer=i.modelInitializer),i.initializerSignature!=null&&(t.initializerSignature=i.initializerSignature),i.trainingConfig!=null&&(t.trainingConfig=i.trainingConfig)}let s=this.LS.getItem(this.keys.weightData);if(s==null)throw new Error(`In local storage, the binary weight values of model '${this.modelPath}' are missing.`);return t.weightData=BD(s),t}};ai.URL_SCHEME="localstorage://";var wS=e=>H().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(ai.URL_SCHEME)?sR(e.slice(ai.URL_SCHEME.length)):null;At.registerSaveRouter(wS);At.registerLoadRouter(wS);function sR(e){return new ai(e)}var iR=class{constructor(){$(H().getBool("IS_BROWSER"),()=>"Current environment is not a web browser"),$(typeof window=="undefined"||typeof window.localStorage!="undefined",()=>"Current browser does not appear to support localStorage"),this.LS=window.localStorage}async listModels(){let e={},t=ol+Nr,n=Nr+yS;for(let a=0;a"scheme must not be undefined or null."),e.endsWith(pl)&&(e=e.slice(0,e.indexOf(pl))),$(e.length>0,()=>"scheme must not be an empty string.");let n=Pn.getInstance();$(n.managers[e]==null,()=>`A model store manager is already registered for scheme '${e}'.`),n.managers[e]=t}static getManager(e){let t=Pn.getInstance().managers[e];if(t==null)throw new Error(`Cannot find model manager for scheme '${e}'`);return t}static getSchemes(){return Object.keys(Pn.getInstance().managers)}};function xh(e){if(e.indexOf(pl)===-1)throw new Error(`The url string provided does not contain a scheme. Supported schemes are: ${Pn.getSchemes().join(",")}`);return{scheme:e.split(pl)[0],path:e.split(pl)[1]}}async function kS(e,t,n=!1){$(e!==t,()=>`Old path and new path are the same: '${e}'`);let a=At.getLoadHandlers(e);$(a.length>0,()=>`Copying failed because no load handler is found for source URL ${e}.`),$(a.length<2,()=>`Copying failed because more than one (${a.length}) load handlers for source URL ${e}.`);let r=a[0],s=At.getSaveHandlers(t);$(s.length>0,()=>`Copying failed because no save handler is found for destination URL ${t}.`),$(s.length<2,()=>`Copying failed because more than one (${a.length}) save handlers for destination URL ${t}.`);let i=s[0],o=xh(e).scheme,l=xh(e).path,u=o===xh(e).scheme,p=await r.load();n&&u&&await Pn.getManager(o).removeModel(l);let d=await i.save(p);return n&&!u&&await Pn.getManager(o).removeModel(l),d.modelArtifactsInfo}async function oR(){let e=Pn.getSchemes(),t={};for(let n of e){let a=await Pn.getManager(n).listModels();for(let r in a){let s=n+pl+r;t[s]=a[r]}}return t}async function lR(e){let t=xh(e);return Pn.getManager(t.scheme).removeModel(t.path)}async function uR(e,t){return kS(e,t,!1)}async function pR(e,t){return kS(e,t,!0)}var cR=class{constructor(){this.messageName="setTimeoutCustom",this.functionRefs=[],this.handledMessageCount=0,this.hasEventListener=!1}fetch(e,t){return fetch(e,t)}now(){return performance.now()}encode(e,t){if(t!=="utf-8"&&t!=="utf8")throw new Error(`Browser's encoder only supports utf-8, but got ${t}`);return this.textEncoder==null&&(this.textEncoder=new TextEncoder),this.textEncoder.encode(e)}decode(e,t){return new TextDecoder(t).decode(e)}setTimeoutCustom(e,t){if(typeof window=="undefined"||!H().getBool("USE_SETTIMEOUTCUSTOM")){setTimeout(e,t);return}this.functionRefs.push(e),setTimeout(()=>{window.postMessage({name:this.messageName,index:this.functionRefs.length-1},"*")},t),this.hasEventListener||(this.hasEventListener=!0,window.addEventListener("message",n=>{if(n.source===window&&n.data.name===this.messageName){n.stopPropagation();let a=this.functionRefs[n.data.index];a(),this.handledMessageCount++,this.handledMessageCount===this.functionRefs.length&&(this.functionRefs=[],this.handledMessageCount=0)}},!0))}};if(H().get("IS_BROWSER")){H().setPlatform("browser",new cR);try{Pn.registerManager(ai.URL_SCHEME,new iR)}catch(e){}try{Pn.registerManager(ni.URL_SCHEME,new JD)}catch(e){}}var dR={importFetch:()=>wF()},fy,hR=class{constructor(){this.util=kF(),this.textEncoder=new this.util.TextEncoder}fetch(e,t){return H().global.fetch!=null?H().global.fetch(e,t):(fy==null&&(fy=dR.importFetch()),fy(e,t))}now(){let e=process.hrtime();return e[0]*1e3+e[1]/1e6}encode(e,t){if(t!=="utf-8"&&t!=="utf8")throw new Error(`Node built-in encoder only supports utf-8, but got ${t}`);return this.textEncoder.encode(e)}decode(e,t){return e.length===0?"":new this.util.TextDecoder(t).decode(e)}};H().get("IS_NODE")&&!H().get("IS_BROWSER")&&H().setPlatform("node",new hR);function Oe(e,t="float32",n){return t=t||"float32",Ex(e),new Ht(e,t,n)}function mR(e,t){let n=_(e,"x","cast");if(!qI(t))throw new Error(`Failed to cast to unknown dtype ${t}`);if(t==="string"&&n.dtype!=="string"||t!=="string"&&n.dtype==="string")throw new Error("Only strings can be casted to strings");let a={x:n},r={dtype:t};return O.runKernel(xi,a,r)}var oe=L({cast_:mR});function fR(e){let t={x:_(e,"x","clone","string_or_numeric")};return O.runKernel(Ri,t)}var ir=L({clone_:fR});function zx(e,t=!1){console.log(e.toString(t))}uS();var gR={buffer:Oe,cast:oe,clone:ir,print:zx};CD(gR);var Ut={};Ae(Ut,{browserFiles:()=>IR,browserHTTPRequest:()=>_R,concatenateArrayBuffers:()=>Ox,copyModel:()=>uR,decodeWeights:()=>dS,encodeWeights:()=>LD,fromMemory:()=>AR,fromMemorySync:()=>CS,getLoadHandlers:()=>XD,getModelArtifactsForJSON:()=>Lx,getModelArtifactsForJSONSync:()=>mS,getModelArtifactsInfoForJSON:()=>Fc,getSaveHandlers:()=>KD,getWeightSpecs:()=>fS,http:()=>Bx,isHTTPScheme:()=>zy,listModels:()=>oR,loadWeights:()=>SR,moveModel:()=>pR,registerLoadRouter:()=>qD,registerSaveRouter:()=>jD,removeModel:()=>lR,weightsLoaderFactory:()=>SS,withSaveHandler:()=>$R,withSaveHandlerSync:()=>FR});var bR="model",yR=".json",xR=".weights.bin";function fk(e){return new Promise(t=>setTimeout(t)).then(e)}var fl=class{constructor(e){if(!H().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a browser.");e.startsWith(fl.URL_SCHEME)&&(e=e.slice(fl.URL_SCHEME.length)),(e==null||e.length===0)&&(e=bR),this.modelJsonFileName=e+yR,this.weightDataFileName=e+xR}async save(e){if(typeof document=="undefined")throw new Error("Browser downloads are not supported in this environment since `document` is not present");let t=window.URL.createObjectURL(new Blob([e.weightData],{type:"application/octet-stream"}));if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");{let n=[{paths:["./"+this.weightDataFileName],weights:e.weightSpecs}],a=hS(e,n),r=window.URL.createObjectURL(new Blob([JSON.stringify(a)],{type:"application/json"})),s=this.modelJsonAnchor==null?document.createElement("a"):this.modelJsonAnchor;if(s.download=this.modelJsonFileName,s.href=r,await fk(()=>s.dispatchEvent(new MouseEvent("click"))),e.weightData!=null){let i=this.weightDataAnchor==null?document.createElement("a"):this.weightDataAnchor;i.download=this.weightDataFileName,i.href=t,await fk(()=>i.dispatchEvent(new MouseEvent("click")))}return{modelArtifactsInfo:Fc(e)}}}};fl.URL_SCHEME="downloads://";var vR=class{constructor(e){if(e==null||e.length<1)throw new Error(`When calling browserFiles, at least 1 file is required, but received ${e}`);this.jsonFile=e[0],this.weightsFiles=e.slice(1)}async load(){return new Promise((e,t)=>{let n=new FileReader;n.onload=a=>{let r=JSON.parse(a.target.result),s=r.modelTopology;if(s==null){t(new Error(`modelTopology field is missing from file ${this.jsonFile.name}`));return}if(r.weightsManifest==null){t(new Error(`weightManifest field is missing from file ${this.jsonFile.name}`));return}if(this.weightsFiles.length===0){e({modelTopology:s});return}let i=Lx(r,o=>this.loadWeights(o));e(i)},n.onerror=a=>t(`Failed to read model topology and weights manifest JSON from file '${this.jsonFile.name}'. BrowserFiles supports loading Keras-style tf.Model artifacts only.`),n.readAsText(this.jsonFile)})}loadWeights(e){let t=[],n=[];for(let s of e)t.push(...s.weights),n.push(...s.paths);let a=this.checkManifestAndWeightFiles(e),r=n.map(s=>this.loadWeightsFile(s,a[s]));return Promise.all(r).then(s=>[t,Ox(s)])}loadWeightsFile(e,t){return new Promise((n,a)=>{let r=new FileReader;r.onload=s=>{let i=s.target.result;n(i)},r.onerror=s=>a(`Failed to weights data from file of path '${e}'.`),r.readAsArrayBuffer(t)})}checkManifestAndWeightFiles(e){let t=[],n=this.weightsFiles.map(r=>mk(r.name)),a={};for(let r of e)r.paths.forEach(s=>{let i=mk(s);if(t.indexOf(i)!==-1)throw new Error(`Duplicate file basename found in weights manifest: '${i}'`);if(t.push(i),n.indexOf(i)===-1)throw new Error(`Weight file with basename '${i}' is not provided.`);a[s]=this.weightsFiles[n.indexOf(i)]});if(t.length!==this.weightsFiles.length)throw new Error(`Mismatch in the number of files in weights manifest (${t.length}) and the number of weight files provided (${this.weightsFiles.length}).`);return a}},wR=e=>H().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(fl.URL_SCHEME)?kR(e.slice(fl.URL_SCHEME.length)):null;At.registerSaveRouter(wR);function kR(e="model"){return new fl(e)}function IR(e){return new vR(e)}function gk(e,t,n,a){i(e),n=n==null?0:n,a=a==null?1:a,o(n,a);let r=0,s=l=>(l.then(u=>{let p=n+ ++r/e.length*(a-n);return t(p),u}),l);function i(l){$(l!=null&&Array.isArray(l)&&l.length>0,()=>"promises must be a none empty array")}function o(l,u){$(l>=0&&l<=1,()=>`Progress fraction must be in range [0, 1], but got startFraction ${l}`),$(u>=0&&u<=1,()=>`Progress fraction must be in range [0, 1], but got endFraction ${u}`),$(u>=l,()=>`startFraction must be no more than endFraction, but got startFraction ${l} and endFraction ${u}`)}return Promise.all(e.map(s))}async function IS(e,t){t==null&&(t={});let n=t.fetchFunc==null?H().platform.fetch:t.fetchFunc,a=e.map(u=>n(u,t.requestInit,{isBinary:!0})),r=0,s=.5,i=(t.onProgress==null?await Promise.all(a):await gk(a,t.onProgress,r,s)).map(u=>u.arrayBuffer()),o=.5,l=1;return t.onProgress==null?await Promise.all(i):await gk(i,t.onProgress,o,l)}async function SR(e,t="",n,a){return SS(r=>IS(r,{requestInit:a}))(e,t,n)}function SS(e){return async(t,n="",a)=>{let r=t.map(()=>!1),s={},i=a!=null?a.map(()=>!1):[],o=[];if(t.forEach((h,m)=>{let f=0;h.weights.forEach(g=>{let b="quantization"in g?g.quantization.dtype:g.dtype,y=My[b]*mt(g.shape),x=()=>{r[m]=!0,s[m]==null&&(s[m]=[]),s[m].push({manifestEntry:g,groupOffset:f,sizeBytes:y})};a!=null?a.forEach((w,I)=>{w===g.name&&(x(),i[I]=!0)}):x(),o.push(g.name),f+=y})}),!i.every(h=>h)){let h=a.filter((m,f)=>!i[f]);throw new Error(`Could not find weights in manifest with names: ${h.join(", ")}. +Manifest JSON has weights with names: ${o.join(", ")}.`)}let l=r.reduce((h,m,f)=>(m&&h.push(f),h),[]),u=[];l.forEach(h=>{t[h].paths.forEach(m=>{let f=n+(n.endsWith("/")?"":"/")+m;u.push(f)})});let p=await e(u),d={},c=0;return l.forEach(h=>{let m=t[h].paths.length,f=0;for(let x=0;x{let w=g.slice(x.groupOffset,x.groupOffset+x.sizeBytes),I=dS(w,[x.manifestEntry]);for(let T in I)d[T]=I[T]}),c+=m}),d}}var TR="application/octet-stream",NR="application/json",Wx=class{constructor(e,t){if(this.DEFAULT_METHOD="POST",t==null&&(t={}),this.weightPathPrefix=t.weightPathPrefix,this.onProgress=t.onProgress,this.weightUrlConverter=t.weightUrlConverter,t.fetchFunc!=null?($(typeof t.fetchFunc=="function",()=>"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"),this.fetch=t.fetchFunc):this.fetch=H().platform.fetch,$(e!=null&&e.length>0,()=>"URL path for http must not be null, undefined or empty."),Array.isArray(e)&&$(e.length===2,()=>`URL paths for http must have a length of 2, (actual length is ${e.length}).`),this.path=e,t.requestInit!=null&&t.requestInit.body!=null)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=t.requestInit||{}}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");let t=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);t.body=new FormData;let n=[{paths:["./model.weights.bin"],weights:e.weightSpecs}],a=hS(e,n);t.body.append("model.json",new Blob([JSON.stringify(a)],{type:NR}),"model.json"),e.weightData!=null&&t.body.append("model.weights.bin",new Blob([e.weightData],{type:TR}),"model.weights.bin");let r=await this.fetch(this.path,t);if(r.ok)return{modelArtifactsInfo:Fc(e),responses:[r]};throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${r.status}.`)}async load(){let e=await this.fetch(this.path,this.requestInit);if(!e.ok)throw new Error(`Request to ${this.path} failed with status code ${e.status}. Please verify this URL points to the model JSON of the model to load.`);let t;try{t=await e.json()}catch(r){let s=`Failed to parse model JSON of response from ${this.path}.`;throw this.path.endsWith(".pb")?s+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.":s+=" Please make sure the server is serving valid JSON for this request.",new Error(s)}let n=t.modelTopology,a=t.weightsManifest;if(n==null&&a==null)throw new Error(`The JSON from HTTP path ${this.path} contains neither model topology or manifest for weights.`);return Lx(t,r=>this.loadWeights(r))}async loadWeights(e){let t=Array.isArray(this.path)?this.path[1]:this.path,[n,a]=CR(t),r=this.weightPathPrefix||n,s=fS(e),i=[],o=[];for(let u of e)for(let p of u.paths)this.weightUrlConverter!=null?o.push(this.weightUrlConverter(p)):i.push(r+p+a);this.weightUrlConverter&&i.push(...await Promise.all(o));let l=await IS(i,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress});return[s,Ox(l)]}};Wx.URL_SCHEME_REGEX=/^https?:\/\//;function CR(e){let t=e.lastIndexOf("/"),n=e.lastIndexOf("?"),a=e.substring(0,t),r=n>t?e.substring(n):"";return[a+"/",r]}function zy(e){return e.match(Wx.URL_SCHEME_REGEX)!=null}var TS=(e,t)=>{if(typeof fetch=="undefined"&&(t==null||t.fetchFunc==null))return null;{let n=!0;if(Array.isArray(e)?n=e.every(a=>zy(a)):n=zy(e),n)return Bx(e,t)}return null};At.registerSaveRouter(TS);At.registerLoadRouter(TS);function Bx(e,t){return new Wx(e,t)}function _R(e,t){return Bx(e,t)}var gy=class{constructor(e){this.modelArtifacts=e}load(){return this.modelArtifacts}},NS=class{constructor(e){this.saveHandler=e}save(e){return this.saveHandler(e)}},ER=class{constructor(e){e.load&&(this.load=()=>Promise.resolve(e.load())),e.save&&(this.save=t=>Promise.resolve(e.save(t)))}};function AR(e,t,n,a){let r=arguments;return new ER(CS(...r))}function CS(e,t,n,a){return arguments.length===1?e.modelTopology!=null||e.weightSpecs!=null?new gy(e):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new gy({modelTopology:e})):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new gy({modelTopology:e,weightSpecs:t,weightData:n,trainingConfig:a}))}function $R(e){return new NS(e)}function FR(e){return new NS(e)}var _S={};Ae(_S,{confusionMatrix:()=>QR});function DR(e,t,n=!1,a=!1){let r=_(e,"a","matMul"),s=_(t,"b","matMul");[r,s]=_t(r,s);let i={a:r,b:s},o={transposeA:n,transposeB:a};return O.runKernel(yi,i,o)}var Fe=L({matMul_:DR});function RR(e,t,n=1,a=0,r="int32"){if(t<2)throw new Error(`Error in oneHot: depth must be >=2, but it is ${t}`);let s={indices:_(e,"indices","oneHot","int32")},i={dtype:r,depth:t,onValue:n,offValue:a};return O.runKernel(Hi,s,i)}var gl=L({oneHot_:RR});function MR(){H().set("PROD",!0)}function PR(){H().set("DEBUG",!0)}function OR(){H().set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")}function Vx(e){H().getBool("DEPRECATION_WARNINGS_ENABLED")&&console.warn(e+" You can disable deprecation warnings with tf.disableDeprecationWarnings().")}_D(Vx);function LR(){O.disposeVariables()}function _a(){return O}function Oh(){return O.memory()}function zR(e){return O.profile(e)}function P(e,t){return O.tidy(e,t)}function _e(e){Rx(e).forEach(t=>t.dispose())}function Jt(e){return O.keep(e)}function WR(e){return O.time(e)}function BR(e){return O.setBackend(e)}function VR(){return O.ready()}function UR(){return O.backendName}function GR(e){O.removeBackend(e)}function HR(e){return O.findBackend(e)}function jR(e){return O.findBackendFactory(e)}function Gm(e,t,n=1){return O.registerBackend(e,t,n)}function ES(){return O.backend}function qR(e,t){H().setPlatform(e,t)}function KR(e){let t={input:_(e,"input","imag")};return O.runKernel(Nm,t)}var Dc=L({imag_:KR});function XR(e){let t={x:_(e,"x","neg")};return O.runKernel(du,t)}var vt=L({neg_:XR});function YR(e){let t={input:_(e,"input","real")};return O.runKernel(Pm,t)}var bl=L({real_:YR});function ZR(e,t,n){let a=_(e,"x","transpose");if(t==null&&(t=a.shape.map((i,o)=>o).reverse()),$(a.rank===t.length,()=>`Error in transpose: rank of input ${a.rank} must match length of perm ${t}.`),t.forEach(i=>{$(i>=0&&i`All entries in 'perm' must be between 0 and ${a.rank-1} but got ${t}`)}),a.rank<=1)return a.clone();let r={x:a},s={perm:t};return a.dtype==="complex64"?P(()=>{let i=bl(a),o=Dc(a);return i=O.runKernel(_r,{x:i},s),o=O.runKernel(_r,{x:o},s),n&&(o=vt(o)),Ar(i,o)}):O.runKernel(_r,r,s)}var Ee=L({transpose_:ZR});function JR(e,t,n){let a=_(e,"labels","confusionMatrix"),r=_(t,"predictions","confusionMatrix");$(n==null||n>0&&Number.isInteger(n),()=>`If provided, numClasses must be a positive integer, but got ${n}`),$(a.rank===1,()=>`Expected the rank of labels to be 1, but got ${a.rank}`),$(r.rank===1,()=>`Expected the rank of predictions to be 1, but got ${r.rank}`),$(a.shape[0]===r.shape[0],()=>`Mismatch in the number of examples: ${a.shape[0]} vs. ${r.shape[0]}. Labels and predictions should have the same number of elements.`),$(n>0&&Number.isInteger(n),()=>`numClasses is required to be a positive integer, but got ${n}`);let s=gl(oe(a,"int32"),n),i=gl(oe(r,"int32"),n),o=Ee(s),l=Fe(o,i);return oe(l,"int32")}var QR=L({confusionMatrix_:JR}),Ou={};Ae(Ou,{assertAndGetBroadcastShape:()=>ut,getBroadcastDims:()=>AS,getReductionAxes:()=>Wt});function AS(e,t){let n=e.length,a=[];for(let r=0;r1&&i===1&&a.unshift(s)}return a}function Wt(e,t){let n=[];for(let a=0;a1)&&n.unshift(s)}return n}function ut(e,t){let n=[],a=Math.max(e.length,t.length);for(let r=0;riM,fromPixelsAsync:()=>rM,toPixels:()=>sM});function Rc(e,t,n){if(mi(e),t!=null&&t.length!==3)throw new Error("tensor3d() requires shape to have three numbers");let a=lr(e,n);if(a.length!==3&&a.length!==1)throw new Error("tensor3d() requires values to be number[][][] or flat/TypedArray");if(a.length===1&&t==null)throw new Error("tensor3d() requires shape to be provided when `values` are a flat array");return vs(e,t,a,n)}var Os;function $S(e,t=3){if(t>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");if(e==null)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");let n=!1,a=!1,r=!1,s=!1,i=!1,o=!1;if(e.data instanceof Uint8Array)n=!0;else if(typeof ImageData!="undefined"&&e instanceof ImageData)a=!0;else if(typeof HTMLVideoElement!="undefined"&&e instanceof HTMLVideoElement)r=!0;else if(typeof HTMLImageElement!="undefined"&&e instanceof HTMLImageElement)s=!0;else if(e.getContext!=null)i=!0;else if(typeof ImageBitmap!="undefined"&&e instanceof ImageBitmap)o=!0;else throw new Error(`pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was ${e.constructor.name}`);if(Dh(Fh,O.backendName)!=null){let c={pixels:e},h={numChannels:t};return O.runKernel(Fh,c,h)}let[l,u]=r?[e.videoWidth,e.videoHeight]:[e.width,e.height],p;if(i)p=e.getContext("2d").getImageData(0,0,l,u).data;else if(a||n)p=e.data;else if(s||r||o){if(Os==null)if(typeof document=="undefined")if(typeof OffscreenCanvas!="undefined"&&typeof OffscreenCanvasRenderingContext2D!="undefined")Os=new OffscreenCanvas(1,1).getContext("2d");else throw new Error("Cannot parse input in current context. Reason: OffscreenCanvas Context2D rendering is not supported.");else Os=document.createElement("canvas").getContext("2d",{willReadFrequently:!0});Os.canvas.width=l,Os.canvas.height=u,Os.drawImage(e,0,0,l,u),p=Os.getImageData(0,0,l,u).data}let d;if(t===4)d=new Int32Array(p);else{let c=l*u;d=new Int32Array(c*t);for(let h=0;h4||s===2)throw new Error(`toPixels only supports depth of size 1, 3 or 4 but got ${s}`);if(n.dtype!=="float32"&&n.dtype!=="int32")throw new Error(`Unsupported type for toPixels: ${n.dtype}. Please use float32 or int32 tensors.`);let i=await n.data(),o=n.dtype==="float32"?255:1,l=new Uint8ClampedArray(r*a*4);for(let u=0;u1)throw new Error(`Tensor values for a float32 Tensor must be in the range [0 - 1] but encountered ${h}.`)}else if(n.dtype==="int32"&&(h<0||h>255))throw new Error(`Tensor values for a int32 Tensor must be in the range [0 - 255] but encountered ${h}.`);s===1?(p[0]=h*o,p[1]=h*o,p[2]=h*o):p[c]=h*o}let d=u*4;l[d+0]=Math.round(p[0]),l[d+1]=Math.round(p[1]),l[d+2]=Math.round(p[2]),l[d+3]=Math.round(p[3])}if(t!=null){t.width=r,t.height=a;let u=t.getContext("2d"),p=new ImageData(l,r,a);u.putImageData(p,0,0)}return n!==e&&n.dispose(),l}var iM=L({fromPixels_:$S}),Ux={};Ae(Ux,{prepareAndValidate:()=>FS});function FS(e,t){let n=e.shape.length,a=t.shape.length;if(n<1)throw new Error(`tf.gatherND() expects the input to be rank 1 or higher, but the rank was ${n}.`);if(a<1)throw new Error(`tf.gatherND() expects the indices to be rank 1 or higher, but the rank was ${a}.`);if(t.dtype!=="int32")throw new Error(`tf.gatherND() expects the indices to be int32 type, but the dtype was ${t.dtype}.`);if(t.shape[a-1]>n)throw new Error(`index innermost dimension length must be <= tensor rank; saw: ${t.shape[a-1]} vs. ${n}`);if(mt(e.shape)===0)throw new Error(`Requested more than 0 entries, but input is empty. Input shape: ${e.shape}.`);let r=t.shape,s=r[r.length-1],i=1;for(let d=0;dd/u),1].slice(0,s);return[l,i,u,p]}var Gx={};Ae(Gx,{calculateShapes:()=>DS,validateInput:()=>jx,validateUpdateShape:()=>Hx});function Hx(e,t,n){let a=t.rank>1?t.shape[t.rank-1]:1,r=t.rank>1?t.rank-1:1,s=`Must have updates.shape = indices.shape[:batchDim] + shape[sliceDim:], got updates.shape: ${n.shape}, indices.shape: ${t.shape}, shape: ${e}, sliceDim: ${a}, and batchDim: ${r}.`;if(n.rank1?t.shape[a-1]:1,s=n.length,i=1;for(let d=r;dlM,computeFlatOffset:()=>hM,computeOutShape:()=>pM,getNormalizedAxes:()=>cM,isSliceContinous:()=>dM,maskToAxes:()=>uM,parseSliceParams:()=>VS,sliceInfo:()=>mM,startForAxis:()=>WS,startIndicesWithElidedDims:()=>OS,stopForAxis:()=>BS,stopIndicesWithElidedDims:()=>LS,stridesForAxis:()=>zS,stridesWithElidedDims:()=>RS});var Wy=-2,oM=-1;function lM(e,t,n){let a=e.shape.length;$(a===t.length,()=>`Error in slice${a}D: Length of begin ${t} must match the rank of the array (${a}).`),$(a===n.length,()=>`Error in slice${a}D: Length of size ${n} must match the rank of the array (${a}).`);for(let r=0;r`Error in slice${a}D: begin[${r}] + size[${r}] (${t[r]+n[r]}) would overflow input.shape[${r}] (${e.shape[r]})`)}function uM(e){let t=[],n=0;for(;e>0;)e&1&&t.push(n),e/=2,n++;return t}function pM(e,t,n){let a=[];for(let r=0;r0){let h=t[0],m=n+1;p=OS(i,h,m,a,e),d=LS(o,h,m,r,e),c=RS(s,h,m,e)}else for(let h=0;h-1)s[o]=0;else{let l=MS(t,n,o),u=a[l];e&1<-1)s[o]=Number.MAX_SAFE_INTEGER;else{let l=MS(t,n,o),u=a[l];e&1<0?i=Number.MIN_SAFE_INTEGER:i=Number.MAX_SAFE_INTEGER);let l=a[r];return i<0&&(i+=l),i=Kp(0,i,l-1),i}function BS(e,t,n,a,r,s){let i=t[r],o=n[r]||1;(e&1<0?i=Number.MAX_SAFE_INTEGER:i=Number.MIN_SAFE_INTEGER);let l=a[r];return i<0&&(i+=l),o>0?i=Kp(0,i,l):i=Kp(-1,i,l-1),i}function dM(e,t,n){let a=n.length;for(let r=0;r1){a=r;break}for(let r=a+1;r0||n[r]!==e[r])return!1;return!0}function hM(e,t){let n=e.length>0?e[e.length-1]:1;for(let a=0;a{$(i!==-1,()=>"slice() does not support negative begin indexing.")});let s;return n==null?s=new Array(r).fill(-1):typeof n=="number"?s=[n,...new Array(r-1).fill(-1)]:n.lengthi>=0?i:($(i===-1,()=>`Negative size values should be exactly -1 but got ${i} for the slice() size at index ${o}.`),e.shape[o]-a[o])),[a,s]}function mM(e,t,n,a,r,s,i,o,l){let u;if(a==null?(u=new Array(t.length),u.fill(1)):u=a,i!=null&&(i&i-1)!==0)throw new Error("Multiple ellipses in slice is not allowed.");let p=!1,d={dims:u.length,numAddAxisAfterEllipsis:0,begin:t.slice(),end:n.slice(),strides:u.slice(),beginMask:r,endMask:s,ellipsisMask:i,newAxisMask:o,shrinkAxisMask:l};for(let y=0;y0?0:-1,c.strides[y]>0?w:w-1];if(x&&c.strides[y]<=0)throw Error("only stride 1 allowed on non-range indexing.");f=f&&c.strides[y]===1;let C=!!(c.beginMask&1<=w)throw Error(`slice index ${c.begin[y]} of dimension ${y} out of bounds.`)}else c.begin[y]=bk(c.begin[y],0,c.strides[y],w,I,T),c.end[y]=bk(c.end[y],1,c.strides[y],w,I,T);let R=c.strides[y]===1&&c.begin[y]===0&&c.end[y]===w;h=h&&R,m=m&&(y===0&&c.strides[y]===1||R)}else h=h&&c.strides[y]===1&&C,m=m&&(y===0&&c.strides[y]===1||C);let E,A=!1;if(c.beginValid&&c.endValid?(E=c.end[y]-c.begin[y],A=!0):x?(E=1,A=!0):C&&w>=0&&(c.strides[y]<0?E=-w:E=w,A=!0),A){let R;E===0||E<0!=c.strides[y]<0?R=0:R=Math.trunc(E/c.strides[y])+(E%c.strides[y]!==0?1:0),g.push(R)}else g.push(-1)}for(let y=0;y=0?b.push(g[x]):x===Wy&&b.push(1)}return{finalShapeSparse:b.filter((y,x)=>c.finalShapeGatherIndices[x]!==Wy),finalShape:b,isIdentity:h,sliceDim0:m,isSimpleSlice:f,begin:c.begin,end:c.end,strides:c.strides}}function fM(e,t){t.beginMask=0,t.endMask=0,t.shrinkAxisMask=0;let n=0;t.beginValid=e.begin!=null,t.endValid=e.end!=null,t.begin=new Array(t.dims),t.end=new Array(t.dims),t.strides=new Array(t.dims),t.finalShapeGatherIndices=[],t.finalShapeGatherIndicesSparse=[],t.inputShapeGatherIndicesSparse=new Array(t.dims);for(let a=0;a0?s[t]:s[t+1&1];{let i=e<0?a+e:e;return is[1]?s[1]:i}}var ne={};Ae(ne,{Serializable:()=>US,SerializationMap:()=>Vs,registerClass:()=>ws});var US=class{getClassName(){return this.constructor.className}static fromConfig(e,t){return new e(t)}},Vs=class{constructor(){this.classNameMap={}}static getMap(){return Vs.instance==null&&(Vs.instance=new Vs),Vs.instance}static register(e){Vs.getMap().classNameMap[e.className]=[e,e.fromConfig]}};function ws(e){$(e.className!=null,()=>"Class being registered does not have the static className property defined."),$(typeof e.className=="string",()=>"className is required to be a string, but got type "+typeof e.className),$(e.className.length>0,()=>"Class being registered has an empty-string as its className, which is disallowed."),Vs.register(e)}var GS={};Ae(GS,{TEST_EPSILON_FLOAT16:()=>HS,createVideoElement:()=>IM,encodeStrings:()=>jS,expectArrayBuffersEqual:()=>kM,expectArraysClose:()=>bM,expectArraysEqual:()=>xM,expectNumbersClose:()=>vM,expectPromiseToFail:()=>yM,expectValuesInRange:()=>wM,play:()=>SM,testEpsilon:()=>qx});var gM=.001,HS=.1;function bM(e,t,n){return n==null&&(n=qx()),By(e,t,(a,r)=>Kx(a,r,n))}function qx(){return O.backend.floatPrecision()===32?gM:HS}function By(e,t,n){let a=!0;if((hn(e)||hn(t))&&(a=!1),hn(e)&&hn(t)&&(a=!0),a){let i=e.constructor.name,o=t.constructor.name;if(i!==o)throw new Error(`Arrays are of different type. Actual: ${i}. Expected: ${o}`)}if(Array.isArray(e)&&Array.isArray(t)){let i=lr(e),o=lr(t);if(!fs(i,o))throw new Error(`Arrays have different shapes. Actual: [${i}]. Expected: [${o}]`)}let r=hn(e)?e:Js(e),s=hn(t)?t:Js(t);if(r.length!==s.length)throw new Error(`Arrays have different lengths actual: ${r.length} vs expected: ${s.length}. Actual: ${r}. Expected: ${s}.`);for(let i=0;it.fail(),()=>t()),typeof expect!="undefined"&&expect().nothing()}function cM(e,t){let n=typeof t=="string"||typeof t=="number"||typeof t=="boolean"?[t]:t;return Jr(e)||Jr(e[0])||Jr(t)||Jr(t[0])?zy(e,n,(a,r)=>a==r):zy(e,t,(a,r)=>jx(a,r,0))}function dM(e,t,n){if(n==null&&(n=Hx()),!jx(e,t,n))throw new Error(`Numbers differ: actual === ${e}, expected === ${t}`);typeof expect!="undefined"&&expect().nothing()}function jx(e,t,n){return!isFinite(e)&&!isFinite(t)?!0:!(isNaN(e)||isNaN(t)||Math.abs(e-t)>n)}function hM(e,t,n){for(let a=0;an)throw new Error(`Value out of range:${e[a]} low: ${t}, high: ${n}`)}function mM(e,t){let n=new Float32Array(e),a=new Float32Array(t);if(n.length!==a.length)throw new Error(`Expected ArrayBuffer to be of length ${a.length}, but it was ${n.length}`);for(let r=0;r{t.addEventListener("loadeddata",a=>n(t)),t.load()})}async function gM(e){await e.play(),"requestVideoFrameCallback"in e&&await new Promise(t=>{e.requestVideoFrameCallback(t)})}var bM="3.21.0";function yM(e,t){let n=_(e,"a","add"),a=_(t,"b","add");[n,a]=_t(n,a);let r={a:n,b:a};return O.runKernel(fs,r)}var Y=L({add_:yM});function xM(e,t){let n=_(e,"a","floorDiv"),a=_(t,"b","floorDiv");[n,a]=_t(n,a);let r={a:n,b:a};return O.runKernel($i,r)}var Um=L({floorDiv_:xM});function vM(e,t){let n=_(e,"a","div"),a=_(t,"b","div");if([n,a]=_t(n,a),n.dtype==="int32"&&a.dtype==="int32")return Um(n,a);let r={a:n,b:a},s={};return O.runKernel(Ci,r,s)}var he=L({div_:vM});function wM(e,t){let n=_(e,"a","mul"),a=_(t,"b","mul");[n,a]=_t(n,a);let r={a:n,b:a};return O.runKernel(Gi,r)}var z=L({mul_:wM});function kM(e){let t=_(e,"x","abs");if(t.dtype==="complex64"){let n={x:t};return O.runKernel(cc,n)}else{let n={x:t};return O.runKernel($l,n)}}var Lt=L({abs_:kM});function IM(e){let t={x:_(e,"x","acos")};return O.runKernel(Fl,t)}var qx=L({acos_:IM});function SM(e){let t={x:_(e,"x","acosh")};return O.runKernel(Dl,t)}var Kx=L({acosh_:SM});function TM(e){$(Array.isArray(e),()=>"The argument passed to tf.addN() must be a list of tensors"),$(e.length>=1,()=>`Must pass at least one tensor to tf.addN(), but got ${e.length}`);let t=e.map((r,s)=>_(r,`tensors${s}`,"addN")),n=t[0];t.forEach(r=>{if(r.dtype!==n.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),t.forEach(r=>{if(!ms(r.shape,n.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});let a=t;return O.runKernel(fi,a)}var BS=L({addN_:TM});function NM(e,t=null,n=!1){let a={x:_(e,"x","all","bool")},r={axis:t,keepDims:n};return O.runKernel(Rl,a,r)}var Gm=L({all_:NM});function CM(e,t=null,n=!1){let a={x:_(e,"x","any","bool")},r={axis:t,keepDims:n};return O.runKernel(Ml,a,r)}var Yp=L({any_:CM});function _M(e,t=0){let n={x:_(e,"x","argMax")},a={axis:t};return O.runKernel(gi,n,a)}var ri=L({argMax_:_M});function EM(e,t=0){let n={x:_(e,"x","argMin")},a={axis:t};return O.runKernel(uc,n,a)}var Xx=L({argMin_:EM});function AM(e){let t={x:_(e,"x","asin")};return O.runKernel(Pl,t)}var Yx=L({asin_:AM});function $M(e){let t={x:_(e,"x","asinh")};return O.runKernel(Ol,t)}var Zx=L({asinh_:$M});function FM(e){let t={x:_(e,"x","atan")};return O.runKernel(Ll,t)}var Jx=L({atan_:FM});function DM(e,t){let n=_(e,"a","atan2"),a=_(t,"b","atan2");[n,a]=_t(n,a);let r={a:n,b:a};return O.runKernel(Bl,r)}var Qx=L({atan2_:DM});function RM(e){let t={x:_(e,"x","atanh")};return O.runKernel(zl,t)}var ev=L({atanh_:RM});function MM(e,t,n,a,r="NHWC",s){let i=e[3],o=[...t,i],l=US(r);return Dc(e,o,n,s,a,null,null,l)}function WS(e,t,n,a,r,s,i="channelsLast"){let[o,l]=Lh(t),u;if(i==="channelsLast")u=[o,l,e[3],e[3]];else if(i==="channelsFirst")u=[o,l,e[1],e[1]];else throw new Error(`Unknown dataFormat ${i}`);return Dc(e,u,n,a,r,s,!1,i)}function PM(e,t,n,a,r,s,i="NDHWC"){let[o,l,u]=By(t),p,d;if(i==="NDHWC")d="channelsLast",p=[o,l,u,e[4],e[4]];else if(i==="NCDHW")d="channelsFirst",p=[o,l,u,e[1],e[1]];else throw new Error(`Unknown dataFormat ${i}`);return VS(e,p,n,a,r,!1,d,s)}function Dc(e,t,n,a,r,s,i=!1,o="channelsLast"){let[l,u,p,d]=[-1,-1,-1,-1];if(o==="channelsLast")[l,u,p,d]=e;else if(o==="channelsFirst")[l,d,u,p]=e;else throw new Error(`Unknown dataFormat ${o}`);let[c,h,,m]=t,[f,g]=Lh(n),[b,y]=Lh(a),x=pl(c,b),w=pl(h,y),{padInfo:I,outHeight:T,outWidth:C}=zM(r,u,p,f,g,x,w,s,o),E=i?m*d:m,A;return o==="channelsFirst"?A=[l,E,T,C]:o==="channelsLast"&&(A=[l,T,C,E]),{batchSize:l,dataFormat:o,inHeight:u,inWidth:p,inChannels:d,outHeight:T,outWidth:C,outChannels:E,padInfo:I,strideHeight:f,strideWidth:g,filterHeight:c,filterWidth:h,effectiveFilterHeight:x,effectiveFilterWidth:w,dilationHeight:b,dilationWidth:y,inShape:e,outShape:A,filterShape:t}}function VS(e,t,n,a,r,s=!1,i="channelsLast",o){let[l,u,p,d,c]=[-1,-1,-1,-1,-1];if(i==="channelsLast")[l,u,p,d,c]=e;else if(i==="channelsFirst")[l,c,u,p,d]=e;else throw new Error(`Unknown dataFormat ${i}`);let[h,m,f,,g]=t,[b,y,x]=By(n),[w,I,T]=By(a),C=pl(h,w),E=pl(m,I),A=pl(f,T),{padInfo:R,outDepth:F,outHeight:S,outWidth:M}=BM(r,u,p,d,b,y,x,C,E,A,o),W=s?g*c:g,U;return i==="channelsFirst"?U=[l,W,F,S,M]:i==="channelsLast"&&(U=[l,F,S,M,W]),{batchSize:l,dataFormat:i,inDepth:u,inHeight:p,inWidth:d,inChannels:c,outDepth:F,outHeight:S,outWidth:M,outChannels:W,padInfo:R,strideDepth:b,strideHeight:y,strideWidth:x,filterDepth:h,filterHeight:m,filterWidth:f,effectiveFilterDepth:C,effectiveFilterHeight:E,effectiveFilterWidth:A,dilationDepth:w,dilationHeight:I,dilationWidth:T,inShape:e,outShape:U,filterShape:t}}function OM(e,t,n,a,r){a==null&&(a=tv(e,t,n));let s=e[0],i=e[1],o=Ks((s-t+2*a)/n+1,r),l=Ks((i-t+2*a)/n+1,r);return[o,l]}function LM(e,t,n,a,r,s){r==null&&(r=tv(e,t,a));let i=e[0],o=e[1],l=e[2],u=Ks((i-t+2*r)/a+1,s),p=Ks((o-t+2*r)/a+1,s),d=Ks((l-t+2*r)/a+1,s);return[u,p,d,n]}function tv(e,t,n,a=1){let r=pl(t,a);return Math.floor((e[0]*(n-1)-n+r)/2)}function Lh(e){return typeof e=="number"?[e,e,e]:e.length===2?[e[0],e[1],1]:e}function By(e){return typeof e=="number"?[e,e,e]:e}function pl(e,t){return t<=1?e:e+(e-1)*(t-1)}function zM(e,t,n,a,r,s,i,o,l){let u,p,d;if(typeof e=="number"){u={top:e,bottom:e,left:e,right:e,type:e===0?"VALID":"NUMBER"};let c=OM([t,n],s,a,e,o);p=c[0],d=c[1]}else if(e==="same"){p=Math.ceil(t/a),d=Math.ceil(n/r);let c=Math.max(0,(p-1)*a+s-t),h=Math.max(0,(d-1)*r+i-n),m=Math.floor(c/2),f=c-m,g=Math.floor(h/2),b=h-g;u={top:m,bottom:f,left:g,right:b,type:"SAME"}}else if(e==="valid")u={top:0,bottom:0,left:0,right:0,type:"VALID"},p=Math.ceil((t-s+1)/a),d=Math.ceil((n-i+1)/r);else if(typeof e=="object"){let c=l==="channelsLast"?e[1][0]:e[2][0],h=l==="channelsLast"?e[1][1]:e[2][1],m=l==="channelsLast"?e[2][0]:e[3][0],f=l==="channelsLast"?e[2][1]:e[3][1];u={top:c,bottom:h,left:m,right:f,type:c===0&&h===0&&m===0&&f===0?"VALID":"EXPLICIT"},p=Ks((t-s+c+h)/a+1,o),d=Ks((n-i+m+f)/r+1,o)}else throw Error(`Unknown padding parameter: ${e}`);return{padInfo:u,outHeight:p,outWidth:d}}function BM(e,t,n,a,r,s,i,o,l,u,p){let d,c,h,m;if(typeof e=="number"){d={top:e,bottom:e,left:e,right:e,front:e,back:e,type:e===0?"VALID":"NUMBER"};let f=LM([t,n,a,1],o,1,r,e,p);c=f[0],h=f[1],m=f[2]}else if(e==="same"){c=Math.ceil(t/r),h=Math.ceil(n/s),m=Math.ceil(a/i);let f=(c-1)*r+o-t,g=(h-1)*s+l-n,b=(m-1)*i+u-a,y=Math.floor(f/2),x=f-y,w=Math.floor(g/2),I=g-w,T=Math.floor(b/2),C=b-T;d={top:w,bottom:I,left:T,right:C,front:y,back:x,type:"SAME"}}else if(e==="valid")d={top:0,bottom:0,left:0,right:0,front:0,back:0,type:"VALID"},c=Math.ceil((t-o+1)/r),h=Math.ceil((n-l+1)/s),m=Math.ceil((a-u+1)/i);else throw Error(`Unknown padding parameter: ${e}`);return{padInfo:d,outDepth:c,outHeight:h,outWidth:m}}function Ks(e,t){if(!t)return Math.trunc(e);switch(t){case"round":return Math.round(e);case"ceil":return Math.ceil(e);case"floor":return Math.floor(e);default:throw new Error(`Unknown roundingMode ${t}`)}}function is(e){let[t,n,a]=Lh(e);return t===1&&n===1&&a===1}function pr(e,t){return is(e)||is(t)}function US(e){if(e==="NHWC")return"channelsLast";if(e==="NCHW")return"channelsFirst";throw new Error(`Unknown dataFormat ${e}`)}function Tn(e,t,n){if(n!=null){if(typeof t=="string")throw Error(`Error in ${e}: pad must be an integer when using dimRoundingMode ${n} but got pad ${t}.`);if(typeof t=="number")$(dl(t),()=>`Error in ${e}: pad must be an integer when using dimRoundingMode ${n} but got pad ${t}.`);else if(typeof t=="object")t.forEach(a=>{a.forEach(r=>{$(dl(r),()=>`Error in ${e}: pad must be an integer when using dimRoundingMode ${n} but got pad ${r}.`)})});else throw Error(`Error in ${e}: Unknown padding parameter: ${t}`)}}function WM(e,t){let n={x:_(e,"x","reshape","string_or_numeric")},a={shape:t};return O.runKernel(yu,n,a)}var B=L({reshape_:WM});function VM(e,t,n,a,r){let s=_(e,"x","avgPool","float32"),i=1;$(pr(n,i),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${n} and dilations '${i}'`);let o=s,l=!1;s.rank===3&&(l=!0,o=B(s,[1,s.shape[0],s.shape[1],s.shape[2]])),$(o.rank===4,()=>`Error in avgPool: x must be rank 4 but got rank ${o.rank}.`),Tn("avgPool",a,r);let u={x:o},p={filterSize:t,strides:n,pad:a,dimRoundingMode:r},d=O.runKernel(bi,u,p);return d=oe(d,s.dtype),l?B(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var ga=L({avgPool_:VM});function UM(e,t,n,a,r,s="NDHWC"){let i=_(e,"x","avgPool3d","float32"),o=i,l=!1;i.rank===4&&(l=!0,o=B(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),$(o.rank===5,()=>`Error in avgPool3d: x must be rank 5 but got rank ${o.rank}.`),$(s==="NDHWC",()=>`Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),Tn("avgPool3d",a,r);let u={x:o},p={filterSize:t,strides:n,pad:a,dimRoundingMode:r,dataFormat:s},d=O.runKernel(pc,u,p);return d=oe(d,o.dtype),l?B(d,[d.shape[1],d.shape[2],d.shape[3],d.shape[4]]):d}var nv=L({avgPool3d_:UM});function GM(e,t=0){$(e.length>=1,()=>"Pass at least one tensor to concat");let n=Xp(e,"tensors","concat","string_or_numeric");if(n[0].dtype==="complex64"&&n.forEach(s=>{if(s.dtype!=="complex64")throw new Error(`Cannot concatenate complex64 tensors with a tensor - with dtype ${s.dtype}. `)}),n.length===1)return sr(n[0]);let a=n,r={axis:t};return O.runKernel(Vl,a,r)}var Ze=L({concat_:GM});function HM(e){let t={x:_(e,"x","sigmoid","float32")};return O.runKernel(ro,t)}var ha=L({sigmoid_:HM});function jM(e,t,n){let a=_(e,"x","slice","string_or_numeric");if(a.rank===0)throw new Error("Slicing scalar is not possible");let r={x:a},s={begin:t,size:n};return O.runKernel(ku,r,s)}var We=L({slice_:jM});function qM(e){let t={x:_(e,"x","tanh","float32")};return O.runKernel(co,t)}var si=L({tanh_:qM});function KM(e,t,n,a,r,s){let i=_(e,"forgetBias","basicLSTMCell"),o=_(t,"lstmKernel","basicLSTMCell"),l=_(n,"lstmBias","basicLSTMCell"),u=_(a,"data","basicLSTMCell"),p=_(r,"c","basicLSTMCell"),d=_(s,"h","basicLSTMCell"),c=Ze([u,d],1),h=Ae(c,o),m=Y(h,l),f=m.shape[0],g=m.shape[1]/4,b=[f,g],y=We(m,[0,0],b),x=We(m,[0,g],b),w=We(m,[0,g*2],b),I=We(m,[0,g*3],b),T=Y(z(ha(y),si(x)),z(p,ha(Y(i,w)))),C=z(si(T),ha(I));return[T,C]}var GS=L({basicLSTMCell_:KM});function XM(e,t,n){let a=_(e,"x","batchToSpaceND"),r=t.reduce((o,l)=>o*l);$(a.rank>=1+t.length,()=>`input rank is ${a.rank} but should be > than blockShape.length ${t.length}`),$(n.length===t.length,()=>`crops.length is ${n.length} but should be equal to blockShape.length ${t.length}`),$(a.shape[0]%r===0,()=>`input tensor batch is ${a.shape[0]} but is not divisible by the product of the elements of blockShape ${t.join(" * ")} === ${r}`);let s={x:a},i={blockShape:t,crops:n};return O.runKernel(Wl,s,i)}var Rc=L({batchToSpaceND_:XM});function YM(e){let t;return e.rank===0||e.rank===1?t=B(e,[1,1,1,e.size]):e.rank===2?t=B(e,[1,1,e.shape[0],e.shape[1]]):e.rank===3?t=B(e,[1,e.shape[0],e.shape[1],e.shape[2]]):t=e,t}function ZM(e,t,n,a,r,s){s==null&&(s=.001);let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),u;r!=null&&(u=_(r,"scale","batchNorm"));let p;a!=null&&(p=_(a,"offset","batchNorm")),$(o.rank===l.rank,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),$(p==null||o.rank===p.rank,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),$(u==null||o.rank===u.rank,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let d={x:YM(i),scale:u,offset:p,mean:o,variance:l},c={varianceEpsilon:s},h=O.runKernel(Fi,d,c);return B(h,i.shape)}var ws=L({batchNorm_:ZM});function JM(e,t,n,a,r,s){let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),u;r!=null&&(u=_(r,"scale","batchNorm"));let p;return a!=null&&(p=_(a,"offset","batchNorm")),$(i.rank===2,()=>`Error in batchNorm2D: x must be rank 2 but got rank ${i.rank}.`),$(o.rank===2||o.rank===1,()=>`Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank ${o.rank}.`),$(l.rank===2||l.rank===1,()=>`Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank ${l.rank}.`),u!=null&&$(u.rank===2||u.rank===1,()=>`Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank ${u.rank}.`),p!=null&&$(p.rank===2||p.rank===1,()=>`Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank ${p.rank}.`),ws(i,o,l,p,u,s)}var av=L({batchNorm2d_:JM});function QM(e,t,n,a,r,s){let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),u;r!=null&&(u=_(r,"scale","batchNorm"));let p;return a!=null&&(p=_(a,"offset","batchNorm")),$(i.rank===3,()=>`Error in batchNorm3D: x must be rank 3 but got rank ${i.rank}.`),$(o.rank===3||o.rank===1,()=>`Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank ${o.rank}.`),$(l.rank===3||l.rank===1,()=>`Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank ${l.rank}.`),u!=null&&$(u.rank===3||u.rank===1,()=>`Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank ${u.rank}.`),p!=null&&$(p.rank===3||p.rank===1,()=>`Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank ${p.rank}.`),ws(i,o,l,p,u,s)}var rv=L({batchNorm3d_:QM});function eP(e,t,n,a,r,s){let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),u;r!=null&&(u=_(r,"scale","batchNorm"));let p;return a!=null&&(p=_(a,"offset","batchNorm")),$(i.rank===4,()=>`Error in batchNorm4D: x must be rank 4 but got rank ${i.rank}.`),$(o.rank===4||o.rank===1,()=>`Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank ${o.rank}.`),$(l.rank===4||l.rank===1,()=>`Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank ${l.rank}.`),u!=null&&$(u.rank===4||u.rank===1,()=>`Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank ${u.rank}.`),p!=null&&$(p.rank===4||p.rank===1,()=>`Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank ${p.rank}.`),ws(i,o,l,p,u,s)}var sv=L({batchNorm4d_:eP});function tP(e,t,n){let a=_(e,"x","bincount"),r=_(t,"weights","bincount");$(a.dtype==="int32",()=>`Error in bincount: input dtype must be int32, but got ${a.dtype}`),$(n>=0,()=>`size must be non-negative, but got ${n}.`),$(r.size===a.size||r.size===0,()=>`Error in bincount: weights must have the same size as input or0-length, but got input shape: ${a.shape}, weights shape: ${r.shape}.`);let s={x:a,weights:r},i={size:n};return O.runKernel(cm,s,i)}var iv=L({bincount_:tP});function nP(e,t){let n=_(e,"s0","broadcastArgs","int32"),a=_(t,"s1","broadcastArgs","int32");if(n.rank!==1)throw new Error(`broadcastArgs(): first input must be a vector (rank=1). Has rank ${n.rank}`);if(a.rank!==1)throw new Error(`broadcastArgs(): second input must be a vector (rank=1). Has rank ${a.rank}`);let r={s0:n,s1:a};return O.runKernel(dm,r)}var HS=L({broadcastArgs_:nP});function aP(e,t){let n=_(e,"broadcastTo","x"),a=n.shape;if(t.some(l=>!(l>0)||l%1!==0))throw new Error(`broadcastTo(): Invalid broadcast shape [${t}].`);if(t.lengthn.rank){let l=n.shape.slice();for(;l.length=0;l--)if(r[l]===t[l])s[l]=1;else if(n.shape[l]!==1)throw new Error(`broadcastTo(): [${a}] cannot be broadcast to [${t}].`);if(s.map((l,u)=>l>1?u:-1).filter(l=>l>=0).length===0)return sr(n);let i={x:n},o={reps:s};return O.runKernel(bs,i,o)}var Xs=L({broadcastTo_:aP});function rP(e){let t={x:_(e,"x","ceil","float32")};return O.runKernel(vi,t)}var ov=L({ceil_:rP});function gn(e,t,n){let a={shape:e,value:t,dtype:n};return O.runKernel(mc,{},a)}function sP(e,t,n){let a=_(e,"x","clipByValue");if($(t<=n,()=>`Error in clip: min (${t}) must be less than or equal to max (${n}).`),t===n)return gn(a.shape,t,a.dtype);let r={x:a},s={clipValueMin:t,clipValueMax:n};return O.runKernel(gs,r,s)}var Qt=L({clipByValue_:sP});function iP(e){return Ze(e,0)}var lv=L({concat1d_:iP});function oP(e,t){return Ze(e,t)}var uv=L({concat2d_:oP});function lP(e,t){return Ze(e,t)}var pv=L({concat3d_:lP});function uP(e,t){return Ze(e,t)}var cv=L({concat4d_:uP});function pP(e,t,n,a,r="NHWC",s=[1,1],i){let o=_(e,"x","conv2d","float32"),l=_(t,"filter","conv2d","float32"),u=o,p=!1;o.rank===3&&(p=!0,u=B(o,[1,o.shape[0],o.shape[1],o.shape[2]])),$(u.rank===4,()=>`Error in conv2d: input must be rank 4, but got rank ${u.rank}.`),$(l.rank===4,()=>`Error in conv2d: filter must be rank 4, but got rank ${l.rank}.`),Tn("conv2d",a,i);let d=r==="NHWC"?u.shape[3]:u.shape[1];$(d===l.shape[2],()=>`Error in conv2d: depth of input (${d}) must match input depth for filter ${l.shape[2]}.`),$(pr(n,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${n} and dilations '${s}'`);let c={x:u,filter:l},h={strides:n,pad:a,dataFormat:r,dilations:s,dimRoundingMode:i},m=O.runKernel(wi,c,h);return p?B(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var $t=L({conv2d_:pP});function cP(e,t,n,a,r="NWC",s=1,i){let o=_(e,"x","conv1d"),l=_(t,"filter","conv1d"),u=o,p=!1;o.rank===2&&(p=!0,u=B(o,[1,o.shape[0],o.shape[1]])),$(u.rank===3,()=>`Error in conv1d: input must be rank 3, but got rank ${u.rank}.`),$(l.rank===3,()=>`Error in conv1d: filter must be rank 3, but got rank ${l.rank}.`),Tn("conv1d",a,i),$(u.shape[2]===l.shape[1],()=>`Error in conv1d: depth of input (${u.shape[2]}) must match input depth for filter ${l.shape[1]}.`),$(pr(n,s),()=>`Error in conv1D: Either stride or dilation must be 1. Got stride ${n} and dilation '${s}'`),$(r==="NWC",()=>`Error in conv1d: got dataFormat of ${r} but only NWC is currently supported.`);let d=B(l,[1,l.shape[0],l.shape[1],l.shape[2]]),c=B(u,[u.shape[0],1,u.shape[1],u.shape[2]]),h=$t(c,d,[1,n],a,"NHWC",[1,s],i);return p?B(h,[h.shape[2],h.shape[3]]):B(h,[h.shape[0],h.shape[2],h.shape[3]])}var Hm=L({conv1d_:cP});function dP(e,t,n,a,r,s="NHWC",i){$(e.length===t.rank,()=>`Length of inShape (${e.length}) and rank of dy (${t.rank}) must match`);let o=e,l=t,u=!1;t.rank===3&&(u=!0,l=B(t,[1,t.shape[0],t.shape[1],t.shape[2]]),o=[1,e[0],e[1],e[2]]),$(o.length===4,()=>`Error in conv2dDerInput: inShape must be length 4, but got length ${o.length}.`),$(l.rank===4,()=>`Error in conv2dDerInput: dy must be rank 4, but got rank ${l.rank}`),$(n.rank===4,()=>`Error in conv2dDerInput: filter must be rank 4, but got rank ${n.rank}`);let p=s==="NHWC"?o[3]:o[1],d=s==="NHWC"?l.shape[3]:l.shape[1];$(p===n.shape[2],()=>`Error in conv2dDerInput: depth of input (${p}) must match input depth for filter ${n.shape[2]}.`),$(d===n.shape[3],()=>`Error in conv2dDerInput: depth of output (${d}) must match output depth for filter ${n.shape[3]}.`),Tn("conv2dDerInput",r,i);let c={dy:l,filter:n},h={strides:a,pad:r,dataFormat:s,dimRoundingMode:i,inputShape:o},m=O.runKernel(ki,c,h);return u?B(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var dv=L({conv2DBackpropInput_:dP});function hP(e,t,n,a,r,s){let i=_(e,"x","conv2dTranspose"),o=_(t,"filter","conv2dTranspose");return dv(n,i,o,a,r,"NHWC",s)}var jm=L({conv2dTranspose_:hP});function mP(e,t,n,a,r="NDHWC",s=[1,1,1]){let i=_(e,"x","conv3d"),o=_(t,"filter","conv3d"),l=i,u=!1;i.rank===4&&(u=!0,l=B(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),$(l.rank===5,()=>`Error in conv3d: input must be rank 5, but got rank ${l.rank}.`),$(o.rank===5,()=>`Error in conv3d: filter must be rank 5, but got rank ${o.rank}.`),$(l.shape[4]===o.shape[3],()=>`Error in conv3d: depth of input (${l.shape[4]}) must match input depth for filter ${o.shape[3]}.`),$(pr(n,s),()=>`Error in conv3D: Either strides or dilations must be 1. Got strides ${n} and dilations '${s}'`),$(r==="NDHWC",()=>`Error in conv3d: got dataFormat of ${r} but only NDHWC is currently supported.`);let p={x:l,filter:o},d={strides:n,pad:a,dataFormat:r,dilations:s},c=O.runKernel(dc,p,d);return u?B(c,[c.shape[1],c.shape[2],c.shape[3],c.shape[4]]):c}var hv=L({conv3d_:mP});function fP(e,t,n,a,r){$(e.length===t.rank,()=>`Length of inShape (${e.length}) and rank of dy (${t.rank}) must match`);let s=e,i=t,o=!1;t.rank===4&&(o=!0,i=B(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]]),s=[1,e[0],e[1],e[2],e[3]]);let l=s[4],u=i.shape[4];$(s.length===5,()=>`Error in conv3dDerInput: inShape must be length 5, but got length ${s.length}.`),$(i.rank===5,()=>`Error in conv3dDerInput: dy must be rank 5, but got rank ${i.rank}`),$(n.rank===5,()=>`Error in conv3dDerInput: filter must be rank 5, but got rank ${n.rank}`),$(l===n.shape[3],()=>`Error in conv3dDerInput: depth of input (${l}) must match input depth for filter ${n.shape[3]}.`),$(u===n.shape[4],()=>`Error in conv3dDerInput: depth of output (${u}) must match output depth for filter ${n.shape[4]}.`);let p={dy:i,filter:n},d={pad:r,strides:a,inputShape:s},c=O.runKernel(gm,p,d);return o?B(c,[c.shape[1],c.shape[2],c.shape[3],c.shape[4]]):c}var jS=L({conv3DBackpropInput_:fP});function gP(e,t,n,a,r){let s=_(e,"x","conv3dTranspose"),i=_(t,"filter","conv3dTranspose");return jS(n,s,i,a,r)}var mv=L({conv3dTranspose_:gP});function bP(e){let t={x:_(e,"x","cos","float32")};return O.runKernel(Ii,t)}var Mc=L({cos_:bP});function yP(e){let t={x:_(e,"x","cosh","float32")};return O.runKernel(Si,t)}var qm=L({cosh_:yP});function xP(e,t=0,n=!1,a=!1){let r={x:_(e,"x","cumprod")},s={axis:t,exclusive:n,reverse:a};return O.runKernel(Ul,r,s)}var Zp=L({cumprod_:xP});function vP(e,t=0,n=!1,a=!1){let r={x:_(e,"x","cumsum")},s={axis:t,exclusive:n,reverse:a};return O.runKernel(Ti,r,s)}var Km=L({cumsum_:vP});function wP(e,t,n,a=!1){let r=_(e,"x","denseBincount"),s=_(t,"weights","denseBincount");$(r.dtype==="int32",()=>`Error in denseBincount: input dtype must be int32, but got ${r.dtype}`),$(r.rank<=2,()=>`Error in denseBincount: input must be at most rank 2, but got rank ${r.rank}.`),$(n>=0,()=>`size must be non-negative, but got ${n}.`),$(s.size===r.size||s.size===0,()=>`Error in denseBincount: weights must have the same shape as x or 0-length, but got x shape: ${r.shape}, weights shape: ${s.shape}.`);let i={x:r,weights:s},o={size:n,binaryOutput:a};return O.runKernel(bm,i,o)}var qS=L({denseBincount_:wP});function kP(e,t,n="NHWC"){let a=_(e,"x","depthToSpace","float32"),r=n==="NHWC"?a.shape[1]:a.shape[2],s=n==="NHWC"?a.shape[2]:a.shape[3],i=n==="NHWC"?a.shape[3]:a.shape[1];$(t>1,()=>`blockSize should be > 1 for depthToSpace, but was: ${t}`),$(r*t>=0,()=>`Negative dimension size caused by overflow when multiplying +Expected: ${s}.`)}typeof expect!="undefined"&&expect().nothing()}function yM(e,t){e().then(()=>t.fail(),()=>t()),typeof expect!="undefined"&&expect().nothing()}function xM(e,t){let n=typeof t=="string"||typeof t=="number"||typeof t=="boolean"?[t]:t;return Qr(e)||Qr(e[0])||Qr(t)||Qr(t[0])?By(e,n,(a,r)=>a==r):By(e,t,(a,r)=>Kx(a,r,0))}function vM(e,t,n){if(n==null&&(n=qx()),!Kx(e,t,n))throw new Error(`Numbers differ: actual === ${e}, expected === ${t}`);typeof expect!="undefined"&&expect().nothing()}function Kx(e,t,n){return!isFinite(e)&&!isFinite(t)?!0:!(isNaN(e)||isNaN(t)||Math.abs(e-t)>n)}function wM(e,t,n){for(let a=0;an)throw new Error(`Value out of range:${e[a]} low: ${t}, high: ${n}`)}function kM(e,t){let n=new Float32Array(e),a=new Float32Array(t);if(n.length!==a.length)throw new Error(`Expected ArrayBuffer to be of length ${a.length}, but it was ${n.length}`);for(let r=0;r{t.addEventListener("loadeddata",a=>n(t)),t.load()})}async function SM(e){await e.play(),"requestVideoFrameCallback"in e&&await new Promise(t=>{e.requestVideoFrameCallback(t)})}var TM="4.0.0";function NM(e,t){let n=_(e,"a","add"),a=_(t,"b","add");[n,a]=_t(n,a);let r={a:n,b:a};return O.runKernel(gs,r)}var Y=L({add_:NM});function CM(e,t){let n=_(e,"a","floorDiv"),a=_(t,"b","floorDiv");[n,a]=_t(n,a);let r={a:n,b:a};return O.runKernel($i,r)}var Hm=L({floorDiv_:CM});function _M(e,t){let n=_(e,"a","div"),a=_(t,"b","div");if([n,a]=_t(n,a),n.dtype==="int32"&&a.dtype==="int32")return Hm(n,a);let r={a:n,b:a},s={};return O.runKernel(Ci,r,s)}var he=L({div_:_M});function EM(e,t){let n=_(e,"a","mul"),a=_(t,"b","mul");[n,a]=_t(n,a);let r={a:n,b:a};return O.runKernel(Gi,r)}var z=L({mul_:EM});function AM(e){let t=_(e,"x","abs");if(t.dtype==="complex64"){let n={x:t};return O.runKernel(hc,n)}else{let n={x:t};return O.runKernel(Dl,n)}}var Lt=L({abs_:AM});function $M(e){let t={x:_(e,"x","acos")};return O.runKernel(Rl,t)}var Xx=L({acos_:$M});function FM(e){let t={x:_(e,"x","acosh")};return O.runKernel(Ml,t)}var Yx=L({acosh_:FM});function DM(e){$(Array.isArray(e),()=>"The argument passed to tf.addN() must be a list of tensors"),$(e.length>=1,()=>`Must pass at least one tensor to tf.addN(), but got ${e.length}`);let t=e.map((r,s)=>_(r,`tensors${s}`,"addN")),n=t[0];t.forEach(r=>{if(r.dtype!==n.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),t.forEach(r=>{if(!fs(r.shape,n.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});let a=t;return O.runKernel(fi,a)}var qS=L({addN_:DM});function RM(e,t=null,n=!1){let a={x:_(e,"x","all","bool")},r={axis:t,keepDims:n};return O.runKernel(Pl,a,r)}var jm=L({all_:RM});function MM(e,t=null,n=!1){let a={x:_(e,"x","any","bool")},r={axis:t,keepDims:n};return O.runKernel(Ol,a,r)}var Qp=L({any_:MM});function PM(e,t=0){let n={x:_(e,"x","argMax")},a={axis:t};return O.runKernel(gi,n,a)}var ri=L({argMax_:PM});function OM(e,t=0){let n={x:_(e,"x","argMin")},a={axis:t};return O.runKernel(cc,n,a)}var Zx=L({argMin_:OM});function LM(e){let t={x:_(e,"x","asin")};return O.runKernel(Ll,t)}var Jx=L({asin_:LM});function zM(e){let t={x:_(e,"x","asinh")};return O.runKernel(zl,t)}var Qx=L({asinh_:zM});function WM(e){let t={x:_(e,"x","atan")};return O.runKernel(Wl,t)}var ev=L({atan_:WM});function BM(e,t){let n=_(e,"a","atan2"),a=_(t,"b","atan2");[n,a]=_t(n,a);let r={a:n,b:a};return O.runKernel(Vl,r)}var tv=L({atan2_:BM});function VM(e){let t={x:_(e,"x","atanh")};return O.runKernel(Bl,t)}var nv=L({atanh_:VM});function UM(e,t,n,a,r="NHWC",s){let i=e[3],o=[...t,i],l=YS(r);return Mc(e,o,n,s,a,null,null,l)}function KS(e,t,n,a,r,s,i="channelsLast"){let[o,l]=Lh(t),u;if(i==="channelsLast")u=[o,l,e[3],e[3]];else if(i==="channelsFirst")u=[o,l,e[1],e[1]];else throw new Error(`Unknown dataFormat ${i}`);return Mc(e,u,n,a,r,s,!1,i)}function GM(e,t,n,a,r,s,i="NDHWC"){let[o,l,u]=Vy(t),p,d;if(i==="NDHWC")d="channelsLast",p=[o,l,u,e[4],e[4]];else if(i==="NCDHW")d="channelsFirst",p=[o,l,u,e[1],e[1]];else throw new Error(`Unknown dataFormat ${i}`);return XS(e,p,n,a,r,!1,d,s)}function Mc(e,t,n,a,r,s,i=!1,o="channelsLast"){let[l,u,p,d]=[-1,-1,-1,-1];if(o==="channelsLast")[l,u,p,d]=e;else if(o==="channelsFirst")[l,d,u,p]=e;else throw new Error(`Unknown dataFormat ${o}`);let[c,h,,m]=t,[f,g]=Lh(n),[b,y]=Lh(a),x=cl(c,b),w=cl(h,y),{padInfo:I,outHeight:T,outWidth:C}=qM(r,u,p,f,g,x,w,s,o),E=i?m*d:m,A;return o==="channelsFirst"?A=[l,E,T,C]:o==="channelsLast"&&(A=[l,T,C,E]),{batchSize:l,dataFormat:o,inHeight:u,inWidth:p,inChannels:d,outHeight:T,outWidth:C,outChannels:E,padInfo:I,strideHeight:f,strideWidth:g,filterHeight:c,filterWidth:h,effectiveFilterHeight:x,effectiveFilterWidth:w,dilationHeight:b,dilationWidth:y,inShape:e,outShape:A,filterShape:t}}function XS(e,t,n,a,r,s=!1,i="channelsLast",o){let[l,u,p,d,c]=[-1,-1,-1,-1,-1];if(i==="channelsLast")[l,u,p,d,c]=e;else if(i==="channelsFirst")[l,c,u,p,d]=e;else throw new Error(`Unknown dataFormat ${i}`);let[h,m,f,,g]=t,[b,y,x]=Vy(n),[w,I,T]=Vy(a),C=cl(h,w),E=cl(m,I),A=cl(f,T),{padInfo:R,outDepth:F,outHeight:S,outWidth:M}=KM(r,u,p,d,b,y,x,C,E,A,o),B=s?g*c:g,U;return i==="channelsFirst"?U=[l,B,F,S,M]:i==="channelsLast"&&(U=[l,F,S,M,B]),{batchSize:l,dataFormat:i,inDepth:u,inHeight:p,inWidth:d,inChannels:c,outDepth:F,outHeight:S,outWidth:M,outChannels:B,padInfo:R,strideDepth:b,strideHeight:y,strideWidth:x,filterDepth:h,filterHeight:m,filterWidth:f,effectiveFilterDepth:C,effectiveFilterHeight:E,effectiveFilterWidth:A,dilationDepth:w,dilationHeight:I,dilationWidth:T,inShape:e,outShape:U,filterShape:t}}function HM(e,t,n,a,r){a==null&&(a=av(e,t,n));let s=e[0],i=e[1],o=Ks((s-t+2*a)/n+1,r),l=Ks((i-t+2*a)/n+1,r);return[o,l]}function jM(e,t,n,a,r,s){r==null&&(r=av(e,t,a));let i=e[0],o=e[1],l=e[2],u=Ks((i-t+2*r)/a+1,s),p=Ks((o-t+2*r)/a+1,s),d=Ks((l-t+2*r)/a+1,s);return[u,p,d,n]}function av(e,t,n,a=1){let r=cl(t,a);return Math.floor((e[0]*(n-1)-n+r)/2)}function Lh(e){return typeof e=="number"?[e,e,e]:e.length===2?[e[0],e[1],1]:e}function Vy(e){return typeof e=="number"?[e,e,e]:e}function cl(e,t){return t<=1?e:e+(e-1)*(t-1)}function qM(e,t,n,a,r,s,i,o,l){let u,p,d;if(typeof e=="number"){u={top:e,bottom:e,left:e,right:e,type:e===0?"VALID":"NUMBER"};let c=HM([t,n],s,a,e,o);p=c[0],d=c[1]}else if(e==="same"){p=Math.ceil(t/a),d=Math.ceil(n/r);let c=Math.max(0,(p-1)*a+s-t),h=Math.max(0,(d-1)*r+i-n),m=Math.floor(c/2),f=c-m,g=Math.floor(h/2),b=h-g;u={top:m,bottom:f,left:g,right:b,type:"SAME"}}else if(e==="valid")u={top:0,bottom:0,left:0,right:0,type:"VALID"},p=Math.ceil((t-s+1)/a),d=Math.ceil((n-i+1)/r);else if(typeof e=="object"){let c=l==="channelsLast"?e[1][0]:e[2][0],h=l==="channelsLast"?e[1][1]:e[2][1],m=l==="channelsLast"?e[2][0]:e[3][0],f=l==="channelsLast"?e[2][1]:e[3][1];u={top:c,bottom:h,left:m,right:f,type:c===0&&h===0&&m===0&&f===0?"VALID":"EXPLICIT"},p=Ks((t-s+c+h)/a+1,o),d=Ks((n-i+m+f)/r+1,o)}else throw Error(`Unknown padding parameter: ${e}`);return{padInfo:u,outHeight:p,outWidth:d}}function KM(e,t,n,a,r,s,i,o,l,u,p){let d,c,h,m;if(typeof e=="number"){d={top:e,bottom:e,left:e,right:e,front:e,back:e,type:e===0?"VALID":"NUMBER"};let f=jM([t,n,a,1],o,1,r,e,p);c=f[0],h=f[1],m=f[2]}else if(e==="same"){c=Math.ceil(t/r),h=Math.ceil(n/s),m=Math.ceil(a/i);let f=(c-1)*r+o-t,g=(h-1)*s+l-n,b=(m-1)*i+u-a,y=Math.floor(f/2),x=f-y,w=Math.floor(g/2),I=g-w,T=Math.floor(b/2),C=b-T;d={top:w,bottom:I,left:T,right:C,front:y,back:x,type:"SAME"}}else if(e==="valid")d={top:0,bottom:0,left:0,right:0,front:0,back:0,type:"VALID"},c=Math.ceil((t-o+1)/r),h=Math.ceil((n-l+1)/s),m=Math.ceil((a-u+1)/i);else throw Error(`Unknown padding parameter: ${e}`);return{padInfo:d,outDepth:c,outHeight:h,outWidth:m}}function Ks(e,t){if(!t)return Math.trunc(e);switch(t){case"round":return Math.round(e);case"ceil":return Math.ceil(e);case"floor":return Math.floor(e);default:throw new Error(`Unknown roundingMode ${t}`)}}function os(e){let[t,n,a]=Lh(e);return t===1&&n===1&&a===1}function cr(e,t){return os(e)||os(t)}function YS(e){if(e==="NHWC")return"channelsLast";if(e==="NCHW")return"channelsFirst";throw new Error(`Unknown dataFormat ${e}`)}function Nn(e,t,n){if(n!=null){if(typeof t=="string")throw Error(`Error in ${e}: pad must be an integer when using dimRoundingMode ${n} but got pad ${t}.`);if(typeof t=="number")$(hl(t),()=>`Error in ${e}: pad must be an integer when using dimRoundingMode ${n} but got pad ${t}.`);else if(typeof t=="object")t.forEach(a=>{a.forEach(r=>{$(hl(r),()=>`Error in ${e}: pad must be an integer when using dimRoundingMode ${n} but got pad ${r}.`)})});else throw Error(`Error in ${e}: Unknown padding parameter: ${t}`)}}function XM(e,t){let n={x:_(e,"x","reshape","string_or_numeric")},a={shape:t};return O.runKernel(vu,n,a)}var W=L({reshape_:XM});function YM(e,t,n,a,r){let s=_(e,"x","avgPool","float32"),i=1;$(cr(n,i),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${n} and dilations '${i}'`);let o=s,l=!1;s.rank===3&&(l=!0,o=W(s,[1,s.shape[0],s.shape[1],s.shape[2]])),$(o.rank===4,()=>`Error in avgPool: x must be rank 4 but got rank ${o.rank}.`),Nn("avgPool",a,r);let u={x:o},p={filterSize:t,strides:n,pad:a,dimRoundingMode:r},d=O.runKernel(bi,u,p);return d=oe(d,s.dtype),l?W(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var ba=L({avgPool_:YM});function ZM(e,t,n,a,r,s="NDHWC"){let i=_(e,"x","avgPool3d","float32"),o=i,l=!1;i.rank===4&&(l=!0,o=W(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),$(o.rank===5,()=>`Error in avgPool3d: x must be rank 5 but got rank ${o.rank}.`),$(s==="NDHWC",()=>`Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),Nn("avgPool3d",a,r);let u={x:o},p={filterSize:t,strides:n,pad:a,dimRoundingMode:r,dataFormat:s},d=O.runKernel(dc,u,p);return d=oe(d,o.dtype),l?W(d,[d.shape[1],d.shape[2],d.shape[3],d.shape[4]]):d}var rv=L({avgPool3d_:ZM});function JM(e,t=0){$(e.length>=1,()=>"Pass at least one tensor to concat");let n=Jp(e,"tensors","concat","string_or_numeric");if(n[0].dtype==="complex64"&&n.forEach(s=>{if(s.dtype!=="complex64")throw new Error(`Cannot concatenate complex64 tensors with a tensor + with dtype ${s.dtype}. `)}),n.length===1)return ir(n[0]);let a=n,r={axis:t};return O.runKernel(Gl,a,r)}var Ze=L({concat_:JM});function QM(e){let t={x:_(e,"x","sigmoid","float32")};return O.runKernel(ro,t)}var ha=L({sigmoid_:QM});function eP(e,t,n){let a=_(e,"x","slice","string_or_numeric");if(a.rank===0)throw new Error("Slicing scalar is not possible");let r={x:a},s={begin:t,size:n};return O.runKernel(Su,r,s)}var Be=L({slice_:eP});function tP(e){let t={x:_(e,"x","tanh","float32")};return O.runKernel(co,t)}var si=L({tanh_:tP});function nP(e,t,n,a,r,s){let i=_(e,"forgetBias","basicLSTMCell"),o=_(t,"lstmKernel","basicLSTMCell"),l=_(n,"lstmBias","basicLSTMCell"),u=_(a,"data","basicLSTMCell"),p=_(r,"c","basicLSTMCell"),d=_(s,"h","basicLSTMCell"),c=Ze([u,d],1),h=Fe(c,o),m=Y(h,l),f=m.shape[0],g=m.shape[1]/4,b=[f,g],y=Be(m,[0,0],b),x=Be(m,[0,g],b),w=Be(m,[0,g*2],b),I=Be(m,[0,g*3],b),T=Y(z(ha(y),si(x)),z(p,ha(Y(i,w)))),C=z(si(T),ha(I));return[T,C]}var ZS=L({basicLSTMCell_:nP});function aP(e,t,n){let a=_(e,"x","batchToSpaceND"),r=t.reduce((o,l)=>o*l);$(a.rank>=1+t.length,()=>`input rank is ${a.rank} but should be > than blockShape.length ${t.length}`),$(n.length===t.length,()=>`crops.length is ${n.length} but should be equal to blockShape.length ${t.length}`),$(a.shape[0]%r===0,()=>`input tensor batch is ${a.shape[0]} but is not divisible by the product of the elements of blockShape ${t.join(" * ")} === ${r}`);let s={x:a},i={blockShape:t,crops:n};return O.runKernel(Ul,s,i)}var Pc=L({batchToSpaceND_:aP});function rP(e){let t;return e.rank===0||e.rank===1?t=W(e,[1,1,1,e.size]):e.rank===2?t=W(e,[1,1,e.shape[0],e.shape[1]]):e.rank===3?t=W(e,[1,e.shape[0],e.shape[1],e.shape[2]]):t=e,t}function sP(e,t,n,a,r,s){s==null&&(s=.001);let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),u;r!=null&&(u=_(r,"scale","batchNorm"));let p;a!=null&&(p=_(a,"offset","batchNorm")),$(o.rank===l.rank,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),$(p==null||o.rank===p.rank,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),$(u==null||o.rank===u.rank,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let d={x:rP(i),scale:u,offset:p,mean:o,variance:l},c={varianceEpsilon:s},h=O.runKernel(Fi,d,c);return W(h,i.shape)}var ks=L({batchNorm_:sP});function iP(e,t,n,a,r,s){let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),u;r!=null&&(u=_(r,"scale","batchNorm"));let p;return a!=null&&(p=_(a,"offset","batchNorm")),$(i.rank===2,()=>`Error in batchNorm2D: x must be rank 2 but got rank ${i.rank}.`),$(o.rank===2||o.rank===1,()=>`Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank ${o.rank}.`),$(l.rank===2||l.rank===1,()=>`Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank ${l.rank}.`),u!=null&&$(u.rank===2||u.rank===1,()=>`Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank ${u.rank}.`),p!=null&&$(p.rank===2||p.rank===1,()=>`Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank ${p.rank}.`),ks(i,o,l,p,u,s)}var sv=L({batchNorm2d_:iP});function oP(e,t,n,a,r,s){let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),u;r!=null&&(u=_(r,"scale","batchNorm"));let p;return a!=null&&(p=_(a,"offset","batchNorm")),$(i.rank===3,()=>`Error in batchNorm3D: x must be rank 3 but got rank ${i.rank}.`),$(o.rank===3||o.rank===1,()=>`Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank ${o.rank}.`),$(l.rank===3||l.rank===1,()=>`Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank ${l.rank}.`),u!=null&&$(u.rank===3||u.rank===1,()=>`Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank ${u.rank}.`),p!=null&&$(p.rank===3||p.rank===1,()=>`Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank ${p.rank}.`),ks(i,o,l,p,u,s)}var iv=L({batchNorm3d_:oP});function lP(e,t,n,a,r,s){let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),u;r!=null&&(u=_(r,"scale","batchNorm"));let p;return a!=null&&(p=_(a,"offset","batchNorm")),$(i.rank===4,()=>`Error in batchNorm4D: x must be rank 4 but got rank ${i.rank}.`),$(o.rank===4||o.rank===1,()=>`Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank ${o.rank}.`),$(l.rank===4||l.rank===1,()=>`Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank ${l.rank}.`),u!=null&&$(u.rank===4||u.rank===1,()=>`Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank ${u.rank}.`),p!=null&&$(p.rank===4||p.rank===1,()=>`Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank ${p.rank}.`),ks(i,o,l,p,u,s)}var ov=L({batchNorm4d_:lP});function uP(e,t,n){let a=_(e,"x","bincount"),r=_(t,"weights","bincount");$(a.dtype==="int32",()=>`Error in bincount: input dtype must be int32, but got ${a.dtype}`),$(n>=0,()=>`size must be non-negative, but got ${n}.`),$(r.size===a.size||r.size===0,()=>`Error in bincount: weights must have the same size as input or0-length, but got input shape: ${a.shape}, weights shape: ${r.shape}.`);let s={x:a,weights:r},i={size:n};return O.runKernel(dm,s,i)}var lv=L({bincount_:uP});function pP(e,t){let n=_(e,"s0","broadcastArgs","int32"),a=_(t,"s1","broadcastArgs","int32");if(n.rank!==1)throw new Error(`broadcastArgs(): first input must be a vector (rank=1). Has rank ${n.rank}`);if(a.rank!==1)throw new Error(`broadcastArgs(): second input must be a vector (rank=1). Has rank ${a.rank}`);let r={s0:n,s1:a};return O.runKernel(hm,r)}var JS=L({broadcastArgs_:pP});function cP(e,t){let n=_(e,"broadcastTo","x"),a=n.shape;if(t.some(l=>!(l>0)||l%1!==0))throw new Error(`broadcastTo(): Invalid broadcast shape [${t}].`);if(t.lengthn.rank){let l=n.shape.slice();for(;l.length=0;l--)if(r[l]===t[l])s[l]=1;else if(n.shape[l]!==1)throw new Error(`broadcastTo(): [${a}] cannot be broadcast to [${t}].`);if(s.map((l,u)=>l>1?u:-1).filter(l=>l>=0).length===0)return ir(n);let i={x:n},o={reps:s};return O.runKernel(ys,i,o)}var Xs=L({broadcastTo_:cP});function dP(e){let t={x:_(e,"x","ceil","float32")};return O.runKernel(vi,t)}var uv=L({ceil_:dP});function gn(e,t,n){let a={shape:e,value:t,dtype:n};return O.runKernel(gc,{},a)}function hP(e,t,n){let a=_(e,"x","clipByValue");if($(t<=n,()=>`Error in clip: min (${t}) must be less than or equal to max (${n}).`),t===n)return gn(a.shape,t,a.dtype);let r={x:a},s={clipValueMin:t,clipValueMax:n};return O.runKernel(bs,r,s)}var en=L({clipByValue_:hP});function mP(e){return Ze(e,0)}var pv=L({concat1d_:mP});function fP(e,t){return Ze(e,t)}var cv=L({concat2d_:fP});function gP(e,t){return Ze(e,t)}var dv=L({concat3d_:gP});function bP(e,t){return Ze(e,t)}var hv=L({concat4d_:bP});function yP(e,t,n,a,r="NHWC",s=[1,1],i){let o=_(e,"x","conv2d","float32"),l=_(t,"filter","conv2d","float32"),u=o,p=!1;o.rank===3&&(p=!0,u=W(o,[1,o.shape[0],o.shape[1],o.shape[2]])),$(u.rank===4,()=>`Error in conv2d: input must be rank 4, but got rank ${u.rank}.`),$(l.rank===4,()=>`Error in conv2d: filter must be rank 4, but got rank ${l.rank}.`),Nn("conv2d",a,i);let d=r==="NHWC"?u.shape[3]:u.shape[1];$(d===l.shape[2],()=>`Error in conv2d: depth of input (${d}) must match input depth for filter ${l.shape[2]}.`),$(cr(n,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${n} and dilations '${s}'`);let c={x:u,filter:l},h={strides:n,pad:a,dataFormat:r,dilations:s,dimRoundingMode:i},m=O.runKernel(wi,c,h);return p?W(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var $t=L({conv2d_:yP});function xP(e,t,n,a,r="NWC",s=1,i){let o=_(e,"x","conv1d"),l=_(t,"filter","conv1d"),u=o,p=!1;o.rank===2&&(p=!0,u=W(o,[1,o.shape[0],o.shape[1]])),$(u.rank===3,()=>`Error in conv1d: input must be rank 3, but got rank ${u.rank}.`),$(l.rank===3,()=>`Error in conv1d: filter must be rank 3, but got rank ${l.rank}.`),Nn("conv1d",a,i),$(u.shape[2]===l.shape[1],()=>`Error in conv1d: depth of input (${u.shape[2]}) must match input depth for filter ${l.shape[1]}.`),$(cr(n,s),()=>`Error in conv1D: Either stride or dilation must be 1. Got stride ${n} and dilation '${s}'`),$(r==="NWC",()=>`Error in conv1d: got dataFormat of ${r} but only NWC is currently supported.`);let d=W(l,[1,l.shape[0],l.shape[1],l.shape[2]]),c=W(u,[u.shape[0],1,u.shape[1],u.shape[2]]),h=$t(c,d,[1,n],a,"NHWC",[1,s],i);return p?W(h,[h.shape[2],h.shape[3]]):W(h,[h.shape[0],h.shape[2],h.shape[3]])}var qm=L({conv1d_:xP});function vP(e,t,n,a,r,s="NHWC",i){$(e.length===t.rank,()=>`Length of inShape (${e.length}) and rank of dy (${t.rank}) must match`);let o=e,l=t,u=!1;t.rank===3&&(u=!0,l=W(t,[1,t.shape[0],t.shape[1],t.shape[2]]),o=[1,e[0],e[1],e[2]]),$(o.length===4,()=>`Error in conv2dDerInput: inShape must be length 4, but got length ${o.length}.`),$(l.rank===4,()=>`Error in conv2dDerInput: dy must be rank 4, but got rank ${l.rank}`),$(n.rank===4,()=>`Error in conv2dDerInput: filter must be rank 4, but got rank ${n.rank}`);let p=s==="NHWC"?o[3]:o[1],d=s==="NHWC"?l.shape[3]:l.shape[1];$(p===n.shape[2],()=>`Error in conv2dDerInput: depth of input (${p}) must match input depth for filter ${n.shape[2]}.`),$(d===n.shape[3],()=>`Error in conv2dDerInput: depth of output (${d}) must match output depth for filter ${n.shape[3]}.`),Nn("conv2dDerInput",r,i);let c={dy:l,filter:n},h={strides:a,pad:r,dataFormat:s,dimRoundingMode:i,inputShape:o},m=O.runKernel(ki,c,h);return u?W(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var mv=L({conv2DBackpropInput_:vP});function wP(e,t,n,a,r,s){let i=_(e,"x","conv2dTranspose"),o=_(t,"filter","conv2dTranspose");return mv(n,i,o,a,r,"NHWC",s)}var Km=L({conv2dTranspose_:wP});function kP(e,t,n,a,r="NDHWC",s=[1,1,1]){let i=_(e,"x","conv3d"),o=_(t,"filter","conv3d"),l=i,u=!1;i.rank===4&&(u=!0,l=W(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),$(l.rank===5,()=>`Error in conv3d: input must be rank 5, but got rank ${l.rank}.`),$(o.rank===5,()=>`Error in conv3d: filter must be rank 5, but got rank ${o.rank}.`),$(l.shape[4]===o.shape[3],()=>`Error in conv3d: depth of input (${l.shape[4]}) must match input depth for filter ${o.shape[3]}.`),$(cr(n,s),()=>`Error in conv3D: Either strides or dilations must be 1. Got strides ${n} and dilations '${s}'`),$(r==="NDHWC",()=>`Error in conv3d: got dataFormat of ${r} but only NDHWC is currently supported.`);let p={x:l,filter:o},d={strides:n,pad:a,dataFormat:r,dilations:s},c=O.runKernel(mc,p,d);return u?W(c,[c.shape[1],c.shape[2],c.shape[3],c.shape[4]]):c}var fv=L({conv3d_:kP});function IP(e,t,n,a,r){$(e.length===t.rank,()=>`Length of inShape (${e.length}) and rank of dy (${t.rank}) must match`);let s=e,i=t,o=!1;t.rank===4&&(o=!0,i=W(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]]),s=[1,e[0],e[1],e[2],e[3]]);let l=s[4],u=i.shape[4];$(s.length===5,()=>`Error in conv3dDerInput: inShape must be length 5, but got length ${s.length}.`),$(i.rank===5,()=>`Error in conv3dDerInput: dy must be rank 5, but got rank ${i.rank}`),$(n.rank===5,()=>`Error in conv3dDerInput: filter must be rank 5, but got rank ${n.rank}`),$(l===n.shape[3],()=>`Error in conv3dDerInput: depth of input (${l}) must match input depth for filter ${n.shape[3]}.`),$(u===n.shape[4],()=>`Error in conv3dDerInput: depth of output (${u}) must match output depth for filter ${n.shape[4]}.`);let p={dy:i,filter:n},d={pad:r,strides:a,inputShape:s},c=O.runKernel(bm,p,d);return o?W(c,[c.shape[1],c.shape[2],c.shape[3],c.shape[4]]):c}var QS=L({conv3DBackpropInput_:IP});function SP(e,t,n,a,r){let s=_(e,"x","conv3dTranspose"),i=_(t,"filter","conv3dTranspose");return QS(n,s,i,a,r)}var gv=L({conv3dTranspose_:SP});function TP(e){let t={x:_(e,"x","cos","float32")};return O.runKernel(Ii,t)}var Oc=L({cos_:TP});function NP(e){let t={x:_(e,"x","cosh","float32")};return O.runKernel(Si,t)}var Xm=L({cosh_:NP});function CP(e,t=0,n=!1,a=!1){let r={x:_(e,"x","cumprod")},s={axis:t,exclusive:n,reverse:a};return O.runKernel(Hl,r,s)}var ec=L({cumprod_:CP});function _P(e,t=0,n=!1,a=!1){let r={x:_(e,"x","cumsum")},s={axis:t,exclusive:n,reverse:a};return O.runKernel(Ti,r,s)}var Ym=L({cumsum_:_P});function EP(e,t,n,a=!1){let r=_(e,"x","denseBincount"),s=_(t,"weights","denseBincount");$(r.dtype==="int32",()=>`Error in denseBincount: input dtype must be int32, but got ${r.dtype}`),$(r.rank<=2,()=>`Error in denseBincount: input must be at most rank 2, but got rank ${r.rank}.`),$(n>=0,()=>`size must be non-negative, but got ${n}.`),$(s.size===r.size||s.size===0,()=>`Error in denseBincount: weights must have the same shape as x or 0-length, but got x shape: ${r.shape}, weights shape: ${s.shape}.`);let i={x:r,weights:s},o={size:n,binaryOutput:a};return O.runKernel(ym,i,o)}var zh=L({denseBincount_:EP});function AP(e,t,n="NHWC"){let a=_(e,"x","depthToSpace","float32"),r=n==="NHWC"?a.shape[1]:a.shape[2],s=n==="NHWC"?a.shape[2]:a.shape[3],i=n==="NHWC"?a.shape[3]:a.shape[1];$(t>1,()=>`blockSize should be > 1 for depthToSpace, but was: ${t}`),$(r*t>=0,()=>`Negative dimension size caused by overflow when multiplying ${r} and ${t} for depthToSpace with input shape ${a.shape}`),$(s*t>=0,()=>`Negative dimension size caused by overflow when multiplying ${s} and ${t} for depthToSpace with input shape - ${a.shape}`),$(i%(t*t)===0,()=>`Dimension size must be evenly divisible by ${t*t} but is ${i} for depthToSpace with input shape ${a.shape}`);let o={x:a},l={blockSize:t,dataFormat:n};return O.runKernel(Hl,o,l)}var fv=L({depthToSpace_:kP});function IP(e,t,n,a,r="NHWC",s=[1,1],i){let o=_(e,"x","depthwiseConv2d","float32"),l=_(t,"filter","depthwiseConv2d","float32"),u=o,p=!1;o.rank===3&&(p=!0,u=B(o,[1,o.shape[0],o.shape[1],o.shape[2]])),$(u.rank===4,()=>`Error in depthwiseConv2d: input must be rank 4, but got rank ${u.rank}.`),$(l.rank===4,()=>`Error in depthwiseConv2d: filter must be rank 4, but got rank ${l.rank}.`);let d=r==="NHWC"?u.shape[3]:u.shape[1];$(d===l.shape[2],()=>`Error in depthwiseConv2d: number of input channels (${d}) must match the inChannels dimension in filter ${l.shape[2]}.`),Tn("depthwiseConv2d",a,i);let c={x:u,filter:l},h={strides:n,pad:a,dataFormat:r,dilations:s,dimRoundingMode:i},m=O.runKernel(Ni,c,h);return p?B(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var ks=L({depthwiseConv2d_:IP});function SP(e){let t={x:_(e,"x","diag")};return O.runKernel(vm,t)}var KS=L({diag_:SP});function TP(e,t,n,a,r=[1,1],s="NHWC"){let i=_(e,"x","dilation2d"),o=_(t,"filter","dilation2d");$(i.rank===3||i.rank===4,()=>`Error in dilation2d: input must be rank 3 or 4, but got rank ${i.rank}.`),$(o.rank===3,()=>`Error in dilation2d: filter must be rank 3, but got rank ${o.rank}.`),$(s==="NHWC",()=>`Error in dilation2d: Only NHWC is currently supported, but got dataFormat of ${s}`);let l=i,u=!1;i.rank===3&&(l=B(i,[1,i.shape[0],i.shape[1],i.shape[2]]),u=!0);let p={x:l,filter:o},d={strides:n,pad:a,dilations:r},c=O.runKernel(hc,p,d);return u?B(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var gv=L({dilation2d_:TP});function NP(e,t){let n=_(e,"a","equal","string_or_numeric"),a=_(t,"b","equal","string_or_numeric");[n,a]=_t(n,a),ut(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(ql,r)}var Qn=L({equal_:NP});function CP(e,t,n){let a=_(t,"a","where"),r=_(n,"b","where"),s=_(e,"condition","where","bool"),i=ut(ut(s.shape,a.shape),r.shape),o=Xs(s,i),l=Xs(a,i),u=Xs(r,i),p={condition:o,t:l,e:u};return O.runKernel(vu,p)}var mn=L({where_:CP});function _P(e){let t={x:_(e,"x","zerosLike")};return O.runKernel(Du,t)}var je=L({zerosLike_:_P});function EP(e,t){let n=_(e,"a","div"),a=_(t,"b","div");[n,a]=_t(n,a);let r=he(n,a),s=je(r),i=Qn(a,s);return mn(i,s,r)}var bv=L({divNoNan_:EP});function AP(e,t){let n=_(e,"t1","dot"),a=_(t,"t2","dot");$((n.rank===1||n.rank===2)&&(a.rank===1||a.rank===2),()=>`Error in dot: inputs must all be rank 1 or 2, but got ranks ${n.rank} and ${a.rank}.`);let r=n.rank===1?n.size:n.shape[1],s=a.rank===1?a.size:a.shape[0];if($(r===s,()=>`Error in dot: inner dimensions of inputs must match, but got ${r} and ${s}.`),n.rank===1&&a.rank===1){let i=B(n,[1,-1]),o=B(a,[-1,1]),l=Ae(i,o);return B(l,[])}else if(n.rank===1&&a.rank===2){let i=B(n,[1,-1]),o=B(a,[a.shape[0],a.shape[1]]),l=Ae(i,o);return B(l,[l.size])}else if(n.rank===2&&a.rank===1){let i=B(a,[-1,1]),o=Ae(n,i);return B(o,[o.size])}else{let i=B(a,[a.shape[0],a.shape[1]]);return Ae(n,i)}}var yv=L({dot_:AP});function $P(e,...t){let n=t.map((r,s)=>_(r,`tensors${s}`,"einsum")),a={equation:e};return O.runKernel(wm,n,a)}var XS=L({einsum_:$P});function FP(e){let t={x:_(e,"x","elu","float32")};return O.runKernel(_i,t)}var Pu=L({elu_:FP});function DP(e){let t=_(e,"x","erf");$(t.dtype==="int32"||t.dtype==="float32",()=>"Input dtype must be `int32` or `float32`."),t.dtype==="int32"&&(t=oe(t,"float32"));let n={x:t};return O.runKernel(jl,n)}var xv=L({erf_:DP});function vv(e,t){for(let n=0;ne[s]);return[n,r]}function ii(e,t){let n=t.map(a=>1);return YS(e,n,t)}function RP(e,t,n){$(vv(t,n),()=>`${e} supports only inner-most axes for now. Got axes ${t} and rank-${n} input.`)}function JS(e,t){if(vv(e,t))return null;let n=[];for(let a=0;an.push(a)),n}function wv(e){return e.map((t,n)=>[n,t]).sort((t,n)=>t[1]-n[1]).map(t=>t[0])}function MP(e,t){let n=[];for(let a=t-e;a"Axis must be <= rank of the tensor");let a={input:n},r={dim:t};return O.runKernel(Kl,a,r)}var hn=L({expandDims_:HP});function jP(e){let t={x:_(e,"x","expm1")};return O.runKernel(Xl,t)}var Iv=L({expm1_:jP});function qP(e,t){let n=_(e,"x","tile","string_or_numeric");$(n.rank===t.length,()=>`Error in transpose: rank of input ${n.rank} must match length of reps ${t}.`);let a={x:n},r={reps:t};return O.runKernel(bs,a,r)}var Pn=L({tile_:qP});function KP(e,t,n,a="float32"){t==null&&(t=e);let r=Oe([e,t],a),s=e<=t?e:t;for(let o=0;o`Error in localResponseNormalization: x must be rank 3 or 4 but got - rank ${s.rank}.`),$(dl(t),()=>`Error in localResponseNormalization: depthRadius must be an integer but got depthRadius ${t}.`);let i=s,o=!1;s.rank===3&&(o=!0,i=B(s,[1,s.shape[0],s.shape[1],s.shape[2]]));let l={x:i},u={depthRadius:t,bias:n,alpha:a,beta:r},p=O.runKernel(fc,l,u);return o?B(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var Cv=L({localResponseNormalization_:sO});function iO(e){let t={x:_(e,"x","log","float32")};return O.runKernel(Pi,t)}var ea=L({log_:iO});function oO(e){let t={x:_(e,"x","log1p")};return O.runKernel(su,t)}var Oc=L({log1p_:oO});function lO(e){return $(rs(e),()=>"The f passed in grad(f) must be a function"),(t,n)=>{let a=_(t,"x","tf.grad","string_or_numeric"),r=n!=null?_(n,"dy","tf.grad"):null;return O.tidy(()=>{let{value:s,grads:i}=O.gradients(()=>e(a),[a],r);return r!=null&&Sn(s.shape,r.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),Zm(i),i[0]})}}function uO(e){return $(rs(e),()=>"The f passed in grads(f) must be a function"),(t,n)=>{$(Array.isArray(t),()=>"The args passed in grads(f)(args) must be an array of `Tensor`s or `TensorLike`s");let a=Xp(t,"args","tf.grads","string_or_numeric"),r=n!=null?_(n,"dy","tf.grads"):null;return O.tidy(()=>{let{value:s,grads:i}=O.gradients(()=>e(...a),a,r);return r!=null&&Sn(s.shape,r.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Zm(i),i})}}function pO(e){return $(rs(e),()=>"The f passed in valueAndGrad(f) must be a function"),(t,n)=>{$(t instanceof Te,()=>"The x passed in valueAndGrad(f)(x) must be a tensor"),$(n==null||n instanceof Te,()=>"The dy passed in valueAndGrad(f)(x, dy) must be a tensor");let{grads:a,value:r}=O.gradients(()=>e(t),[t],n);return Zm(a),{grad:a[0],value:r}}}function cO(e){return $(rs(e),()=>"The f passed in valueAndGrads(f) must be a function"),(t,n)=>{$(Array.isArray(t)&&t.every(r=>r instanceof Te),()=>"The args passed in valueAndGrads(f)(args) must be array of tensors"),$(n==null||n instanceof Te,()=>"The dy passed in valueAndGrads(f)(args, dy) must be a tensor");let a=O.gradients(()=>e(...t),t,n);return n!=null&&Sn(a.value.shape,n.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Zm(a.grads),a}}function tT(e,t){$(rs(e),()=>"The f passed in variableGrads(f) must be a function"),$(t==null||Array.isArray(t)&&t.every(u=>u instanceof ss),()=>"The varList passed in variableGrads(f, varList) must be an array of variables");let n=t!=null;if(!n){t=[];for(let u in O.registeredVariables)t.push(O.registeredVariables[u])}let a=n?t.filter(u=>!u.trainable):null,r=t.length;t=t.filter(u=>u.trainable),$(t.length>0,()=>`variableGrads() expects at least one of the input variables to be trainable, but none of the ${r} variables is trainable.`);let s=!0,{value:i,grads:o}=O.gradients(e,t,null,s);$(o.some(u=>u!=null),()=>"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize()."),$(i.rank===0,()=>`The f passed in variableGrads(f) must return a scalar, but it returned a rank-${i.rank} tensor`);let l={};return t.forEach((u,p)=>{o[p]!=null&&(l[u.name]=o[p])}),a!=null&&a.forEach(u=>l[u.name]=null),{value:i,grads:l}}function lr(e){return O.customGrad(e)}function Zm(e){if(e.filter(t=>t==null).length>0)throw new Error(`Cannot compute gradient of y=f(x) with respect to x. Make sure that - the f you passed encloses all operations that lead from x to y.`)}function dO(e){let t={x:_(e,"x","softplus")};return O.runKernel(Tu,t)}var mo=L({softplus_:dO});function hO(e){let t=_(e,"x","logSigmoid");return lr(n=>({value:vt(mo(vt(n))),gradFunc:a=>z(a,ha(vt(n)))}))(t)}var _v=L({logSigmoid_:hO});function mO(e,t){let n=_(e,"a","sub"),a=_(t,"b","sub");[n,a]=_t(n,a);let r={a:n,b:a};return O.runKernel(uo,r)}var pe=L({sub_:mO});function fO(e,t=-1){let n=_(e,"logits","logSoftmax");if(t===-1&&(t=n.rank-1),t!==n.rank-1)throw Error(`Log Softmax along a non-last dimension is not yet supported. Logits was rank ${n.rank} and axis was ${t}`);return lr((a,r)=>{let s=_a(a,t,!0),i=pe(a,s),o=pe(oe(i,"float32"),ea(fe(fn(i),t,!0)));return r([o]),{value:o,gradFunc:(l,u)=>{let[p]=u,d=!0,c=fn(p);return pe(l,z(fe(l,t,d),c))}}})(n)}var Jm=L({logSoftmax_:fO});function gO(e,t=null,n=!1){let a=_(e,"x","logSumExp"),r=$a(t,a.shape),s=_a(a,r,!0),i=pe(a,s),o=fn(i),l=fe(o,r),u=ea(l),p=Y(B(s,u.shape),u);if(n){let d=ii(p.shape,r);return B(p,d)}return p}var Qm=L({logSumExp_:gO});function bO(e,t){let n=_(e,"a","logicalAnd","bool"),a=_(t,"b","logicalAnd","bool");ut(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(iu,r)}var Aa=L({logicalAnd_:bO});function yO(e){let t={x:_(e,"x","logicalNot","bool")};return O.runKernel(ou,t)}var Lc=L({logicalNot_:yO});function xO(e,t){let n=_(e,"a","logicalOr","bool"),a=_(t,"b","logicalOr","bool");ut(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(lu,r)}var ef=L({logicalOr_:xO});function vO(e,t){let n=_(e,"a","logicalXor","bool"),a=_(t,"b","logicalXor","bool");return ut(n.shape,a.shape),Aa(ef(e,t),Lc(Aa(e,t)))}var Ev=L({logicalXor_:vO}),sh=2147483648;function wO(e,t,n="left"){let a=_(e,"sortedSequence","searchSorted"),r=_(t,"values","searchSorted"),s=a.shape[a.shape.length-1],i=r.shape[r.shape.length-1],o=B(a,[-1,s]),l=B(r,[-1,i]);if(o.rank<2)throw new Error("Sorted input argument must be at least 2-dimensional");if(o.shape[0]!==l.shape[0])throw new Error("Leading dimension of 'sortedSequence' and 'values' must match.");if(mt(l.shape)>=sh)throw new Error(`values tensor size must less than ${sh}`);if(o.shape[1]>=sh)throw new Error(`trailing dim_size must less than ${sh} for int32 output type, was ${o.shape[1]}`);let u={sortedSequence:o,values:l},p={side:n};return O.runKernel(Om,u,p)}var tf=L({searchSorted_:wO});function nT(e,t){return tf(e,t,"left")}function kO(e,t,n,a,r){let s=_(e,"x","maxPool"),i=1,o=s,l=!1;s.rank===3&&(l=!0,o=B(s,[1,s.shape[0],s.shape[1],s.shape[2]])),$(o.rank===4,()=>`Error in maxPool: input must be rank 4 but got rank ${o.rank}.`),$(pr(n,i),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${n} and dilations '${i}'`),Tn("maxPool",a,r);let u={x:o},p={filterSize:t,strides:n,pad:a,dimRoundingMode:r},d=O.runKernel(zi,u,p);return l?B(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var Dt=L({maxPool_:kO});function IO(e,t=[1,1,1],n,a,r,s="NDHWC"){let i=_(e,"x","maxPool3d"),o=i,l=!1;i.rank===4&&(l=!0,o=B(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),$(o.rank===5,()=>`Error in maxPool3d: x must be rank 5 but got rank ${o.rank}.`),$(s==="NDHWC",()=>`Error in maxPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),Tn("maxPool3d",a,r);let u={x:o},p={filterSize:t,strides:n,pad:a,dimRoundingMode:r,dataFormat:s},d=O.runKernel(gc,u,p);return l?B(d,[d.shape[1],d.shape[2],d.shape[3],d.shape[4]]):d}var Av=L({maxPool3d_:IO});function SO(e,t,n,a,r=!1){let s={x:_(e,"x","maxPoolWithArgmax")},i={filterSize:t,strides:n,pad:a,includeBatchInIndex:r},o=O.runKernel(Am,s,i);return{result:o[0],indexes:o[1]}}var aT=L({maxPoolWithArgmax_:SO});function TO(e,t){let n=_(e,"a","maximum"),a=_(t,"b","maximum");[n,a]=_t(n,a),n.dtype==="bool"&&(n=oe(n,"int32"),a=oe(a,"int32")),ut(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(Li,r)}var cr=L({maximum_:TO});function NO(e,t=null,n=!1){let a={x:_(e,"x","mean")},r={axis:t,keepDims:n};return O.runKernel(Bi,a,r)}var Nt=L({mean_:NO});function It(e,t="float32"){if(t==="complex64"){let a=It(e,"float32"),r=It(e,"float32");return Ar(a,r)}let n=lm(mt(e),t);return O.makeTensor(n,e,t)}function Zn(e,t="float32"){if(t==="complex64"){let a=Zn(e,"float32"),r=It(e,"float32");return Ar(a,r)}let n=Nx(mt(e),t);return O.makeTensor(n,e,t)}function rT(e,t,{indexing:n="xy"}={}){if(n!=="xy"&&n!=="ij")throw new TypeError(`${n} is not a valid third argument to meshgrid`);if(e===void 0)return[];let a=_(e,"x","meshgrid",e instanceof Te?e.dtype:"float32");if(t===void 0)return[a];let r=_(t,"y","meshgrid",t instanceof Te?t.dtype:"float32"),s=mt(a.shape),i=mt(r.shape);return n==="xy"?(a=B(a,[1,-1]),r=B(r,[-1,1]),[Ae(Zn([i,1],a.dtype),a),Ae(r,Zn([1,s],r.dtype))]):(a=B(a,[-1,1]),r=B(r,[1,-1]),[Ae(a,Zn([1,i],a.dtype)),Ae(Zn([s,1],r.dtype),r)])}function CO(e,t){let n=_(e,"a","minimum"),a=_(t,"b","minimum");[n,a]=_t(n,a),n.dtype==="bool"&&(n=oe(n,"int32"),a=oe(a,"int32")),ut(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(Vi,r)}var Bu=L({minimum_:CO});function _O(e,t,n){$(n==="reflect"||n==="symmetric",()=>`Invalid mode. Mode must be either reflect or symmetric. Got ${n}.`);let a=_(e,"x","mirrorPad");if(a.rank===0)throw new Error("mirrorPad(scalar) is not defined. Pass non-scalar to mirrorPad");$(t.length===a.rank,()=>`Padding doesn't match input. Must be ${a.rank}. Got ${t.length}.`);let r=n==="reflect"?1:0;for(let o=0;o"Invalid number of paddings. Must be length of 2 each."),$(t[o][0]>=0&&t[o][0]<=a.shape[o]-r&&t[o][1]>=0&&t[o][1]<=a.shape[o]-r,()=>`Padding in dimension ${o} cannot be greater than or equal to ${a.shape[o]-r} or less than 0 for input of shape ${a.shape}`);let s={paddings:t,mode:n},i={x:a};return O.runKernel(Ui,i,s)}var $v=L({mirrorPad_:_O});function EO(e,t){let n=_(e,"a","mod"),a=_(t,"b","mod");[n,a]=_t(n,a);let r={a:n,b:a};return O.runKernel(uu,r)}var Fv=L({mod_:EO});function AO(e,t=null,n=!1){e=_(e,"x","moments");let a=$a(t,e.shape),r=Nt(e,a,n),s=r.shape;n||(s=ii(r.shape,a));let i=lt(pe(oe(e,"float32"),B(r,s))),o=Nt(i,a,n);return{mean:r,variance:o}}var zc=L({moments_:AO});function $O(e,t,n,a){let r=_(t,"data","multiRNNCell"),s=Xp(n,"c","multiRNNCell"),i=Xp(a,"h","multiRNNCell"),o=r,l=[];for(let d=0;d2)throw new Error(`Rank of probabilities must be 1 or 2, but is ${i}`);n=n||Math.random();let o={logits:i===1?B(r,[1,-1]):r},l={numSamples:t,seed:n,normalized:a},u=O.runKernel($m,o,l);return i===1?B(u,[u.size]):u}var iT=L({multinomial_:FO});function DO(e,t){let n=_(e,"a","notEqual","string_or_numeric"),a=_(t,"b","notEqual","string_or_numeric");[n,a]=_t(n,a),ut(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(cu,r)}var oi=L({notEqual_:DO});function RO(e){let t={x:_(e,"x","onesLike")};return O.runKernel(fu,t)}var ta=L({onesLike_:RO});function MO(e,t){let n=_(e,"v1","outerProduct"),a=_(t,"v2","outerProduct");$(n.rank===1&&a.rank===1,()=>`Error in outerProduct: inputs must be rank 1, but got ranks ${n.rank} and ${a.rank}.`);let r=B(n,[-1,1]),s=B(a,[1,-1]);return Ae(r,s)}var oT=L({outerProduct_:MO});function PO(e,t,n=0){let a=_(e,"x","pad");if(a.rank===0)throw new Error("pad(scalar) is not defined. Pass non-scalar to pad");let r={paddings:t,constantValue:n},s={x:a};return O.runKernel(ji,s,r)}var ba=L({pad_:PO});function OO(e,t,n=0){return $(t.length===2,()=>"Invalid number of paddings. Must be length of 2."),ba(e,[t],n)}var lT=L({pad1d_:OO});function LO(e,t,n=0){return $(t.length===2&&t[0].length===2&&t[1].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),ba(e,t,n)}var uT=L({pad2d_:LO});function zO(e,t,n=0){return $(t.length===3&&t[0].length===2&&t[1].length===2&&t[2].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),ba(e,t,n)}var pT=L({pad3d_:zO});function BO(e,t,n=0){return $(t.length===4&&t[0].length===2&&t[1].length===2&&t[2].length===2&&t[3].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),ba(e,t,n)}var cT=L({pad4d_:BO});function WO(e,t,n){let a=_(e,"x","spaceToBatchND");$(a.rank>=1+t.length,()=>`input rank ${a.rank} should be > than [blockShape] ${t.length}`),$(n.length===t.length,()=>`paddings.shape[0] ${n.length} must be equal to [blockShape] ${t.length}`),$(a.shape.reduce((i,o,l)=>l>0&&l<=t.length?i&&(o+n[l-1][0]+n[l-1][1])%t[l-1]===0:i,!0),()=>`input spatial dimensions ${a.shape.slice(1)} with paddings ${n.toString()} must be divisible by blockShapes ${t.toString()}`);let r={x:a},s={blockShape:t,paddings:n};return O.runKernel(Nu,r,s)}var Bc=L({spaceToBatchND_:WO});function VO(e,t,n,a,r,s,i){r==null&&(r=[1,1]),s==null&&(s=1),a===0&&(a="valid");let o=_(e,"x","maxPool"),l=o,u=!1;o.rank===3&&(u=!0,l=B(o,[1,o.shape[0],o.shape[1],o.shape[2]])),$(pr(s,r),()=>`Error in pool: Either strides or dilations must be 1. Got strides ${s} and dilations '${r}'`);let p=WS(l.shape,t,s,r,a),d=[p.dilationHeight,p.dilationWidth],c;a==="same"?c=GO([p.filterHeight,p.filterWidth],d):c=[[0,0],[0,0]];let h=d[0]===1&&d[1]===1,[m,f]=UO([p.inHeight,p.inWidth],d,c),g=h?a:"valid",b=h?l:Bc(l,d,m),y=(n==="avg"?()=>ga(b,t,s,g,i):()=>Dt(b,t,s,g,i))(),x=h?y:Rc(y,d,f);return u?B(x,[x.shape[1],x.shape[2],x.shape[3]]):x}function UO(e,t,n){let a=n.map(p=>p[0]),r=n.map(p=>p[1]),s=e.concat(a,r),i=t.map((p,d)=>(p-s[d]%p)%p),o=r.map((p,d)=>p+i[d]),l=t.map((p,d)=>[a[d],o[d]]),u=t.map((p,d)=>[0,i[d]]);return[l,u]}function GO(e,t){let n=e.map((s,i)=>s+(s-1)*(t[i]-1)).map(s=>s-1),a=n.map(s=>Math.floor(s/2)),r=n.map((s,i)=>s-a[i]);return n.map((s,i)=>[a[i],r[i]])}var Dv=L({pool_:VO});function HO(e,t){let n=_(e,"x","prelu"),a=_(t,"alpha","prelu"),r={x:n,alpha:a};return O.runKernel(Ki,r)}var Wc=L({prelu_:HO});function jO(e,t=null,n=!1){let a=_(e,"x","prod");a.dtype==="bool"&&(a=oe(a,"int32"));let r={x:a},s={axis:t,keepDims:n};return O.runKernel(Xi,r,s)}var Rv=L({prod_:jO});function qO(e,t,n,a){let r=e.map((p,d)=>_(p,`tensors${d}`,"raggedGather","int32")),s=_(t,"paramsDenseValues","raggedGather"),i=_(n,"indices","raggedGather","int32"),o={paramsNestedSplits:r,paramsDenseValues:s,indices:i},l={outputRaggedRank:a},u=O.runKernel(Fm,o,l);return{outputNestedSplits:u.slice(0,u.length-1),outputDenseValues:u[u.length-1]}}var dT=L({raggedGather_:qO});function KO(e,t,n,a,r){let s=_(e,"shape","raggedTensorToTensor","int32"),i=_(t,"values","raggedTensorToTensor"),o=_(n,"defaultValue","raggedTensorToTensor",i.dtype),l=a.map((d,c)=>_(d,`tensors${c}`,"raggedTensorToTensor","int32")),u={shape:s,values:i,defaultValue:o,rowPartitionTensors:l},p={rowPartitionTypes:r};return O.runKernel(Dm,u,p)}var hT=L({raggedTensorToTensor_:KO});function XO(e,t,n){let a=mt(e),r=null;if(n==null||n==="float32")r=new Float32Array(a);else if(n==="int32")r=new Int32Array(a);else if(n==="bool")r=new Uint8Array(a);else throw new Error(`Unknown data type ${n}`);for(let s=0;s=1||s===0);let i=Math.sqrt(-2*Math.log(s)/s);e=this.mean+this.stdDev*a*i,t=this.mean+this.stdDev*r*i,(!this.truncated||this.isValidTruncated(e))&&(n=!0)}return(!this.truncated||this.isValidTruncated(t))&&(this.nextVal=this.convertValue(t)),this.convertValue(e)}convertValue(e){return this.dtype==null||this.dtype==="float32"?e:Math.round(e)}isValidTruncated(e){return e<=this.upper&&e>=this.lower}},YO=class{constructor(e,t,n,a){this.alpha=e,this.beta=1/t,this.dtype=n;let r=a||Math.random();this.randu=Mv.alea(r.toString()),this.randn=new Pv(0,1,n,!1,this.randu()),e<1?this.d=e+2/3:this.d=e-1/3,this.c=1/Math.sqrt(9*this.d)}nextValue(){let e,t,n,a,r,s;for(;;){do a=this.randn.nextValue(),s=1+this.c*a;while(s<=0);if(s*=s*s,e=a*a,t=1-.331*e*e,n=.5*e+this.d*(1-s+Math.log(s)),r=this.randu(),rthis.dtype==null||this.dtype==="float32",this.min=e,this.range=t-e,this.dtype=n,a==null&&(a=Math.random()),typeof a=="number"&&(a=a.toString()),!this.canReturnFloat()&&this.range<=1)throw new Error(`The difference between ${e} - ${t} <= 1 and dtype is not float`);this.random=Mv.alea(a)}convertValue(e){return this.canReturnFloat()?e:Math.round(e)}nextValue(){return this.convertValue(this.min+this.range*this.random())}};function JO(e,t,n=1,a="float32",r){if(n==null&&(n=1),a==null&&(a="float32"),a!=="float32"&&a!=="int32")throw new Error(`Unsupported data type ${a}`);let s=new YO(t,n,a,r),i=Oe(e,a);for(let o=0;o`Error in reverse1D: x must be rank 1 but got rank ${t.rank}.`),fa(t,0)}var bT=L({reverse1d_:i3});function o3(e,t){let n=_(e,"x","reverse");return $(n.rank===2,()=>`Error in reverse2D: x must be rank 2 but got rank ${n.rank}.`),fa(n,t)}var yT=L({reverse2d_:o3});function l3(e,t){let n=_(e,"x","reverse");return $(n.rank===3,()=>`Error in reverse3D: x must be rank 3 but got rank ${n.rank}.`),fa(n,t)}var xT=L({reverse3d_:l3});function u3(e,t){let n=_(e,"x","reverse");return $(n.rank===4,()=>`Error in reverse4D: x must be rank 4 but got rank ${n.rank}.`),fa(n,t)}var vT=L({reverse4d_:u3});function p3(e){let t={x:_(e,"x","round")};return O.runKernel(to,t)}var rf=L({round_:p3});function c3(e){let t={x:_(e,"x","rsqrt","float32")};return O.runKernel(no,t)}var sf=L({rsqrt_:c3});function d3(e){let t={x:_(e,"x","selu")};return O.runKernel(wu,t)}var of=L({selu_:d3});function h3(e,t,n,a,r,s=[1,1],i="NHWC"){let o=_(e,"x","separableConv2d"),l=_(t,"depthwiseFilter","separableConv2d"),u=_(n,"pointwiseFilter","separableConv2d"),p=o,d=!1;if(o.rank===3&&(d=!0,p=B(o,[1,o.shape[0],o.shape[1],o.shape[2]])),i==="NCHW")throw new Error("separableConv2d currently does not support dataFormat NCHW; only NHWC is supported");$(p.rank===4,()=>`Error in separableConv2d: input must be rank 4, but got rank ${p.rank}.`),$(l.rank===4,()=>`Error in separableConv2d: depthwise filter must be rank 4, but got rank ${l.rank}.`),$(u.rank===4,()=>`Error in separableConv2d: pointwise filter must be rank 4, but got rank ${l.rank}.`),$(u.shape[0]===1,()=>`Error in separableConv2d: the first dimension of pointwise filter must be 1, but got ${u.shape[0]}.`),$(u.shape[1]===1,()=>`Error in separableConv2d: the second dimension of pointwise filter must be 1, but got ${u.shape[1]}.`);let c=l.shape[2],h=l.shape[3];$(u.shape[2]===c*h,()=>`Error in separableConv2d: the third dimension of pointwise filter must be ${c*h}, but got ${u.shape[2]}.`);let m=ks(p,l,a,r,i,s),f=$t(m,u,1,"valid",i);return d?B(f,[f.shape[1],f.shape[2],f.shape[3]]):f}var Ts=L({separableConv2d_:h3});async function m3(e,t){let n=_(e,"x","setdiff1d"),a=_(t,"y","setdiff1d");$(n.dtype===a.dtype,()=>`x and y should have the same dtype, but got x (${n.dtype}) and y (${a.dtype}).`),$(n.rank===1,()=>`x should be 1D tensor, but got x (${n.shape}).`),$(a.rank===1,()=>`y should be 1D tensor, but got y (${a.shape}).`);let r=await n.data(),s=await a.data(),i=new Set(s),o=0;for(let p=0;p`slice1d expects a rank-1 tensor, but got a rank-${a.rank} tensor`),We(a,[t],[n])}var Vc=L({slice1d_:y3});function x3(e,t,n){let a=_(e,"x","slice2d");return $(a.rank===2,()=>`slice2d expects a rank-2 tensor, but got a rank-${a.rank} tensor`),We(a,t,n)}var pf=L({slice2d_:x3});function v3(e,t,n){let a=_(e,"x","slice3d");return $(a.rank===3,()=>`slice3d expects a rank-3 tensor, but got a rank-${a.rank} tensor`),We(a,t,n)}var fo=L({slice3d_:v3});function w3(e,t,n){let a=_(e,"x","slice4d");return $(a.rank===4,()=>`slice4d expects a rank-4 tensor, but got a rank-${a.rank} tensor`),We(a,t,n)}var yl=L({slice4d_:w3});function k3(e,t=-1){let n=_(e,"logits","softmax","float32");if(t===-1&&(t=n.rank-1),t!==n.rank-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${n.rank} and dim was ${t}`);let a={logits:n},r={dim:t};return O.runKernel(oo,a,r)}var ja=L({softmax_:k3});function I3(e){$(e.dtype==="complex64",()=>`The dtype for tf.spectral.fft() must be complex64 but got ${e.dtype}.`);let t={input:e};return O.runKernel(Im,t)}var Uc=L({fft_:I3});function S3(e){$(e.dtype==="complex64",()=>`The dtype for tf.spectral.ifft() must be complex64 but got ${e.dtype}.`);let t={input:e};return O.runKernel(Sm,t)}var xl=L({ifft_:S3});function T3(e){let t=e.shape[e.shape.length-1],n=e.size/t,a;if(t<=2){let r=B(e,[n,t]);a=xl(r)}else{let r=[n,2*(t-1)],s=B(gl(e),[n,t]),i=B($c(e),[n,t]),o=fa(We(s,[0,1],[n,t-2]),1),l=z(fa(We(i,[0,1],[n,t-2]),1),ye(-1)),u=Ze([s,o],1),p=Ze([i,l],1),d=B(Ar(u,p),[r[0],r[1]]);a=xl(d)}if(a=gl(a),e.rank===3&&e.shape[0]!==0){let r=a,s=e.shape[0];a=B(a,[s,a.shape[0]/s,a.shape[1]]),r.dispose()}return a}var cf=L({irfft_:T3});function N3(e,t,n=0){let a={x:_(e,"x","split")},r={numOrSizeSplits:t,axis:n};return O.runKernel(Cu,a,r)}var Ln=L({split_:N3});function C3(e,t){$(e.dtype==="float32",()=>`The dtype for rfft() must be real value but got ${e.dtype}`);let n=e.shape[e.shape.length-1],a=e.size/n,r;if(t!=null&&t0),f=e.shape.map(g=>g);f[e.shape.length-1]=t,r=We(e,m,f),n=t}else if(t!=null&&t>n){let m=e.shape.map(f=>f);m[e.shape.length-1]=t-n,r=Ze([e,It(m)],e.shape.length-1),n=t}else r=e;let s=je(r),i=B(Ar(r,s),[a,n]),o=Uc(i),l=Math.floor(n/2)+1,u=gl(o),p=$c(o),d=Ln(u,[l,n-l],u.shape.length-1),c=Ln(p,[l,n-l],p.shape.length-1),h=r.shape.slice();return h[r.shape.length-1]=l,B(Ar(d[0],c[0]),h)}var Gc=L({rfft_:C3});function _3(e,t){let n=_(e,"a","squaredDifference"),a=_(t,"b","squaredDifference");[n,a]=_t(n,a),ut(n.shape,a.shape);let r={a:n,b:a},s={};return O.runKernel(lo,r,s)}var df=L({squaredDifference_:_3});function E3(e,t){let n=_(e,"x","squeeze","string_or_numeric");return B(n,PI(n.shape,t).newShape)}var Ns=L({squeeze_:E3});function A3(e,t=0){let n=Xp(e,"tensors","stack","string_or_numeric");$(n.length>=1,()=>"Pass at least one tensor to tf.stack"),n.length>0&&$(t<=n[0].rank,()=>"Axis must be <= rank of the tensor");let a=n,r={axis:t};return O.runKernel(gu,a,r)}var Ft=L({stack_:A3});function $3(e,t=0){let n={x:_(e,"x","step")},a={alpha:t};return O.runKernel(ys,n,a)}var go=L({step_:$3});function F3(e,t,n,a,r=0,s=0,i=0,o=0,l=0){let u={x:_(e,"x","stridedSlice","string_or_numeric")},p={begin:t,end:n,strides:a,beginMask:r,endMask:s,ellipsisMask:i,newAxisMask:o,shrinkAxisMask:l};return O.runKernel(Eu,u,p)}var zv=L({stridedSlice_:F3});function D3(e){let t={x:_(e,"x","tan","float32")};return O.runKernel(po,t)}var Bv=L({tan_:D3});function Ke(e,t){mi(e);let n=or(e,t);if(n.length!==1)throw new Error("tensor1d() requires values to be a flat/TypedArray");return xs(e,null,n,t)}function Ea(e,t,n){if(mi(e),t!=null&&t.length!==2)throw new Error("tensor2d() requires shape to have two numbers");let a=or(e,n);if(a.length!==2&&a.length!==1)throw new Error("tensor2d() requires values to be number[][] or flat/TypedArray");if(a.length===1&&t==null)throw new Error("tensor2d() requires shape to be provided when `values` are a flat/TypedArray");return xs(e,t,a,n)}function Fa(e,t,n){if(mi(e),t!=null&&t.length!==4)throw new Error("tensor4d() requires shape to have four numbers");let a=or(e,n);if(a.length!==4&&a.length!==1)throw new Error("tensor4d() requires values to be number[][][][] or flat/TypedArray");if(a.length===1&&t==null)throw new Error("tensor4d() requires shape to be provided when `values` are a flat array");return xs(e,t,a,n)}function kT(e,t,n){if(mi(e),t!=null&&t.length!==5)throw new Error("tensor5d() requires shape to have five numbers");let a=or(e,n);if(a.length!==5&&a.length!==1)throw new Error("tensor5d() requires values to be number[][][][][] or flat/TypedArray");if(a.length===1&&t==null)throw new Error("tensor5d() requires shape to be provided when `values` are a flat array");return xs(e,t,a,n)}function IT(e,t,n){if(mi(e),t!=null&&t.length!==6)throw new Error("tensor6d() requires shape to have six numbers");let a=or(e,n);if(a.length!==6&&a.length!==1)throw new Error("tensor6d() requires values to be number[][][][][][] or flat/TypedArray");if(a.length===1&&t==null)throw new Error("tensor6d() requires shape to be provided when `values` are a flat array");return t=t||a,xs(e,t,a,n)}function R3(e,t=1,n=!0){let a=_(e,"x","topk");if(a.rank===0)throw new Error("topk() expects the input to be of rank 1 or higher");let r=a.shape[a.shape.length-1];if(t<0)throw new Error(`'k' passed to topk() must be >= 0 but got ${t}`);if(t>r)throw new Error(`'k' passed to topk() must be <= the last dimension (${r}) but got ${t}`);let s={x:a},i={k:t,sorted:n},[o,l]=O.runKernel(Au,s,i);return{values:o,indices:l}}var Wv=L({topk_:R3});function M3(e,t=0,n=1,a,r){if(a!=null&&a==="bool")throw new Error("Unsupported data type $ { dtype }");let s=new Pv(t,n,a,!0,r),i=Oe(e,a);for(let o=0;o0,()=>"The input tensor must be at least 1D");let a={x:n},r={axis:t},[s,i]=O.runKernel(zm,a,r);return{values:s,indices:i}}var Vv=L({unique_:P3});function O3(e,t,n){let a=_(e,"x","unsortedSegmentSum"),r=_(t,"segmentIds","unsortedSegmentSum","int32");$(dl(n),()=>"numSegments must be of dtype int");let s={x:a,segmentIds:r},i={numSegments:n};return O.runKernel(Tc,s,i)}var mf=L({unsortedSegmentSum_:O3});function L3(e,t=0){let n=_(e,"x","unstack","string_or_numeric");$(t>=-n.shape.length&&t`Axis = ${t} is not in [-${n.shape.length}, ${n.shape.length})`);let a={value:n},r={axis:t};return O.runKernel(Fu,a,r)}var ct=L({unstack_:L3});function ST(e,t){return tf(e,t,"right")}function Uv(e,t=!0,n,a){return O.makeVariable(e,t,n,a)}function TT(e,t){let n=[];for(let s=0;s0,()=>"mask cannot be scalar"),Sn(o.slice(s,s+i),r.shape,"mask's shape must match the first K dimensions of tensor's shape,");let l=1;for(let f=s;f"Shape mismatch in v and x");let l=ye(1),u=pe(l,o),p=z(pe(i,s),u);if(r){$(a!=null,()=>"When using zeroDebias: true, step is required.");let d=_(a,"step","movingAverage");p=he(p,pe(l,$r(o,d)))}return Y(s,p)}var CT=L({movingAverage_:W3});function V3(e,t,n){let a=_(e,"indices","scatterND","int32"),r=_(t,"updates","scatterND");Gx(r,a,n);let s={indices:a,updates:r},i={shape:n};return O.runKernel(xu,s,i)}var _T=L({scatterND_:V3});function U3(e,t,n,a){if(e.dtype!=="int32")throw new Error(`tf.sparseToDense() expects the indices to be int32 type, but the dtype was ${e.dtype}.`);if(e.rank>2)throw new Error(`sparseIndices should be a scalar, vector, or matrix, but got shape ${e.shape}.`);let r=e.rank>0?e.shape[0]:1,s=e.rank>1?e.shape[1]:1;if(n.length!==s)throw new Error(`outputShape has incorrect number of elements:, ${n.length}, should be: ${s}.`);let i=t.size;if(!(t.rank===0||t.rank===1&&i===r))throw new Error(`sparseValues has incorrect shape ${t.shape}, should be [] or [${r}]`);if(t.dtype!==a.dtype)throw new Error("sparseValues.dtype must match defaultValues.dtype")}function G3(e,t,n,a=0){let r=_(e,"sparseIndices","sparseToDense","int32"),s=_(t,"sparseValues","sparseToDense","string_or_numeric"),i=_(a,"defaultValue","sparseToDense",s.dtype);U3(r,s,n,i);let o={sparseIndices:r,sparseValues:s,defaultValue:i},l={outputShape:n};return O.runKernel(Lm,o,l)}var ET=L({sparseToDense_:G3});function H3(e,t){let n=_(t,"indices","gatherND","int32"),a={params:_(e,"x","gatherND","string_or_numeric"),indices:n};return O.runKernel(Jl,a)}var AT=L({gatherND_:H3});function j3(e,t){if(t==null)return e.shape.slice();if(ms(e.shape,t))return t;if(e.shape.length===t.length){let n=[];for(let a=0;a`x has to be a floating point tensor since it's going to be scaled, but got a ${r.dtype} tensor instead.`),$(t>=0&&t<1,()=>`rate must be a float in the range [0, 1), but got ${t}.`),t===0)return e instanceof Te?r.clone():r;let s=j3(r,n),i=1-t,o=he(Lu(Y(Wu(s,0,1,"float32",a),i)),i);return z(r,o)}var Hv=L({dropout_:q3});function jv(e){return Math.floor(Math.pow(2,Math.ceil(Math.log(e)/Math.log(2))))}function ff(e,t,n){let a=1-e%2,r=new Float32Array(e);for(let s=0;s1,()=>`inTopK() expects the predictions to be of rank 2 or higher, but got ${a.rank}`),$(a.rank-1===r.rank,()=>`predictions rank should be 1 larger than targets rank, but got predictions rank ${a.rank} and targets rank ${r.rank}`),Sn(a.shape.slice(0,a.shape.length-1),r.shape,"predictions's shape should be align with the targets' shape, except the last dimension.");let s=a.shape[a.shape.length-1];$(n>0&&n<=s,()=>`'k' passed to inTopK() must be > 0 && <= the predictions last dimension (${s}), but got ${n}`);let i=await a.data(),o=await r.data(),[l,u]=[i.length/s,s],p=OI("bool",l);for(let d=0;dg.value-f.value),p[d]=0;for(let f=0;fZ3,depthwiseConv2d:()=>tL,matMul:()=>aL});function X3(e,t,n,a,r,s="NHWC",i){let o=e;e.rank===3&&(o=B(e,[1,e.shape[0],e.shape[1],e.shape[2]]));let l=t;l.rank===3&&(l=B(t,[1,t.shape[0],t.shape[1],t.shape[2]])),$(o.rank===4,()=>`Error in conv2dDerFilter: input must be rank 4, but got shape ${o.shape}.`),$(l.rank===4,()=>`Error in conv2dDerFilter: dy must be rank 4, but got shape ${l.shape}.`),$(n.length===4,()=>`Error in conv2dDerFilter: filterShape must be length 4, but got ${n}.`);let u=s==="NHWC"?o.shape[3]:o.shape[1],p=s==="NHWC"?l.shape[3]:l.shape[1];$(u===n[2],()=>`Error in conv2dDerFilter: depth of input ${u}) must match input depth in filter (${n[2]}.`),$(p===n[3],()=>`Error in conv2dDerFilter: depth of dy (${p}) must match output depth for filter (${n[3]}).`),Tn("conv2dDerFilter",r,i);let d={x:o,dy:l},c={strides:a,pad:r,dataFormat:s,dimRoundingMode:i,filterShape:n};return O.runKernel(mm,d,c)}var qv=L({conv2DBackpropFilter_:X3});function gf(e,t,n){if(n==null||n==="linear")return e;if(n==="relu")return z(e,go(t));throw new Error(`Cannot compute gradient for fused activation ${n}.`)}function bf(e,t){let n=t,a=Bt(e.shape,t.shape);return a.length>0&&(n=fe(n,a)),B(n,e.shape)}function yf(e,t,n,a){if(t==="linear")return e;if(t==="relu")return Xe(e);if(t==="elu")return Pu(e);if(t==="relu6")return af(e);if(t==="prelu")return Wc(e,n);if(t==="leakyrelu")return Pc(e,a);if(t==="sigmoid")return ha(e);throw new Error(`Unknown fused activation ${t}.`)}var xf=(e,t)=>!(e>0)||t==="linear";function Y3({x:e,filter:t,strides:n,pad:a,dataFormat:r="NHWC",dilations:s=[1,1],dimRoundingMode:i,bias:o,activation:l="linear",preluActivationWeights:u,leakyreluAlpha:p}){if(l=l||"linear",xf(O.state.gradientDepth,l)===!1){$(r==="NHWC",()=>`Error in fused conv2d: got dataFormat of ${r} but only NHWC is currently supported for the case of gradient depth is 0 and the activation is not linear.`);let T=$t(e,t,n,a,r,s,i);return o!=null&&(T=Y(T,o)),yf(T,l,u,p)}let d=_(e,"x","conv2d","float32"),c=_(t,"filter","conv2d","float32"),h=d,m=!1;d.rank===3&&(m=!0,h=B(d,[1,d.shape[0],d.shape[1],d.shape[2]])),$(h.rank===4,()=>`Error in fused conv2d: input must be rank 4, but got rank ${h.rank}.`),$(c.rank===4,()=>`Error in fused conv2d: filter must be rank 4, but got rank ${c.rank}.`),Tn("fused conv2d",a,i);let f=r==="NHWC"?h.shape[3]:h.shape[1];$(c.shape[2]===f,()=>`Error in conv2d: depth of input (${f}) must match input depth for filter ${c.shape[2]}.`),$(pr(n,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${n} and dilations '${s}'`);let g=Dc(h.shape,c.shape,n,s,a,i),b;o!=null&&(b=_(o,"bias","fused conv2d"),[b]=_t(b,d),r==="NHWC"?ut(g.outShape,b.shape):($(b.shape.length<=1,()=>`Error in fused conv2d: only supports scalar or 1-D Tensor bias for NCHW format but got the bias of rank-${b.shape.length}.`),$(b.shape.length===0||b.shape[0]===g.outChannels||b.shape[0]===1,()=>`Error in fused conv2d: bias shape (${b.shape}) is not compatible with the number of output channels (${g.outChannels})`)));let y;if(u!=null){let T=u.shape;if($(T.length<=1||T.length===3,()=>`Error in fused conv2d: only supports scalar, 1-D Tensor or 3-D Tensor PReLU activation weights but got a tensor of rank-${T.length}.`),T.length===1)$(T[0]===1||T[0]===g.outChannels,()=>`Error in fused conv2d: PReLU activation weights (${T}) is not compatible with the number of output channels (${g.outChannels}).`);else if(T.length===3)try{ut(T,g.outShape)}catch(C){let E=`Error in fused conv2d: PReLU activation weights (${T}) is not compatible with the output shape of the conv2d (${g.outShape}).`;throw Error(E)}y=_(u,"prelu weights","fused conv2d")}let x=(T,C)=>{$(r==="NHWC",()=>`Error in gradient of fused conv2D: got dataFormat of ${r} but only NHWC is currently supported.`);let[E,A,R,F]=C,S=gf(T,R,l);$(is(s),()=>`Error in gradient of fused conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`);let M=dv(A.shape,S,E,n,a),W=qv(A,S,E.shape,n,a),U=[M,W];if(F!=null){let G=bf(F,S);U.push(G)}return U},w={x:h,filter:c,bias:b,preluActivationWeights:y},I={strides:n,pad:a,dataFormat:r,dilations:s,dimRoundingMode:i,activation:l,leakyreluAlpha:p};return o==null?lr((T,C,E)=>{let A=O.runKernel(ei,w,I);return E([C,T,A]),m&&(A=B(A,[A.shape[1],A.shape[2],A.shape[3]])),{value:A,gradFunc:x}})(h,c):lr((T,C,E,A)=>{let R=O.runKernel(ei,w,I);return A([C,T,R,E]),m&&(R=B(R,[R.shape[1],R.shape[2],R.shape[3]])),{value:R,gradFunc:x}})(h,c,b)}var Z3=L({fusedConv2d_:Y3});function J3(e,t,n,a,r,s=[1,1],i){let o=e;e.rank===3&&(o=B(e,[1,e.shape[0],e.shape[1],e.shape[2]]));let l=t;l.rank===3&&(l=B(t,[1,t.shape[0],t.shape[1],t.shape[2]]));let u={x:o,dy:l},p={strides:a,pad:r,dimRoundingMode:i,dilations:s,filterShape:n};return O.runKernel(ym,u,p)}var FT=L({depthwiseConv2dNativeBackpropFilter_:J3});function Q3(e,t,n,a,r,s=[1,1],i){let o=t,l=!1;t.rank===3&&(l=!0,o=B(t,[1,t.shape[0],t.shape[1],t.shape[2]]));let u={dy:o,filter:n},p={strides:a,pad:r,dimRoundingMode:i,dilations:s,inputShape:e},d=O.runKernel(xm,u,p);return l?B(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var DT=L({depthwiseConv2dNativeBackpropInput_:Q3});function eL({x:e,filter:t,strides:n,pad:a,dataFormat:r="NHWC",dilations:s=[1,1],dimRoundingMode:i,bias:o,activation:l="linear",preluActivationWeights:u,leakyreluAlpha:p}){if(xf(O.state.gradientDepth,l)===!1){let I=ks(e,t,n,a,r,s,i);return o!=null&&(I=Y(I,o)),yf(I,l,u,p)}let d=_(e,"x","depthwiseConv2d","float32"),c=_(t,"filter","depthwiseConv2d","float32"),h=d,m=!1;d.rank===3&&(m=!0,h=B(d,[1,d.shape[0],d.shape[1],d.shape[2]])),$(h.rank===4,()=>`Error in fused depthwiseConv2d: input must be rank 4, but got rank ${h.rank}.`),$(c.rank===4,()=>`Error in fused depthwiseConv2d: filter must be rank 4, but got rank ${c.rank}.`),$(h.shape[3]===c.shape[2],()=>`Error in fused depthwiseConv2d: number of input channels (${h.shape[3]}) must match the inChannels dimension in filter ${c.shape[2]}.`),s==null&&(s=[1,1]),$(pr(n,s),()=>`Error in fused depthwiseConv2d: Either strides or dilations must be 1. Got strides ${n} and dilations '${s}'`),Tn("fused depthwiseConv2d",a,i);let f=Dc(h.shape,c.shape,n,s,a,i,!0),g;o!=null&&(g=_(o,"bias","fused conv2d"),[g]=_t(g,d),ut(f.outShape,g.shape));let b;u!=null&&(b=_(u,"prelu weights","fused depthwiseConv2d"));let y=(I,T)=>{$(is(s),()=>`Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '${s}'`);let[C,E,A,R]=T,F=gf(I,A,l),S=DT(E.shape,F,C,n,a,s,i),M=FT(E,F,C.shape,n,a,s,i);if(R!=null){let W=bf(g,F);return[S,M,W]}return[S,M]},x={x:h,filter:c,bias:g,preluActivationWeights:b},w={strides:n,pad:a,dataFormat:r,dilations:s,dimRoundingMode:i,activation:l,leakyreluAlpha:p};return o==null?lr((I,T,C)=>{let E=O.runKernel(ti,x,w);return C([T,I,E]),m&&(E=B(E,[E.shape[1],E.shape[2],E.shape[3]])),{value:E,gradFunc:y}})(h,c):lr((I,T,C,E)=>{let A=O.runKernel(ti,x,w);return E([T,I,A,C]),m&&(A=B(A,[A.shape[1],A.shape[2],A.shape[3]])),{value:A,gradFunc:y}})(h,c,g)}var tL=L({fusedDepthwiseConv2d_:eL});function nL({a:e,b:t,transposeA:n=!1,transposeB:a=!1,bias:r,activation:s="linear",preluActivationWeights:i,leakyreluAlpha:o=.2}){if(xf(O.state.gradientDepth,s)===!1){let R=Ae(e,t,n,a);return r!=null&&(R=Y(R,r)),yf(R,s,i,o)}let l=_(e,"a","fused matMul"),u=_(t,"b","fused matMul");[l,u]=_t(l,u);let p=n?l.shape[l.rank-2]:l.shape[l.rank-1],d=a?u.shape[u.rank-1]:u.shape[u.rank-2],c=n?l.shape[l.rank-1]:l.shape[l.rank-2],h=a?u.shape[u.rank-2]:u.shape[u.rank-1],m=l.shape.slice(0,-2),f=u.shape.slice(0,-2),g=mt(m),b=mt(f);$(p===d,()=>`Error in fused matMul: inner shapes (${p}) and (${d}) of Tensors with shapes ${l.shape} and ${u.shape} and transposeA=${n} and transposeB=${a} must match.`);let y=ut(l.shape.slice(0,-2),u.shape.slice(0,-2)).concat([c,h]),x=n?B(l,[g,p,c]):B(l,[g,c,p]),w=a?B(u,[b,h,d]):B(u,[b,d,h]),I;r!=null&&(I=_(r,"bias","fused matMul"),[I]=_t(I,l),ut(y,I.shape));let T;i!=null&&(T=_(i,"prelu weights","fused matMul"));let C=(R,F)=>{let[S,M,W,U]=F,G=gf(B(R,W.shape),W,s),q,K;if(!n&&!a?(q=Ae(G,M,!1,!0),K=Ae(S,G,!0,!1)):!n&&a?(q=Ae(G,M,!1,!1),K=Ae(G,S,!0,!1)):n&&!a?(q=Ae(M,G,!1,!0),K=Ae(S,G,!1,!1)):(q=Ae(M,G,!0,!0),K=Ae(G,S,!0,!0)),r!=null){let Z=bf(U,G);return[q,K,Z]}else return[q,K]},E={a:x,b:w,bias:I,preluActivationWeights:T},A={transposeA:n,transposeB:a,activation:s,leakyreluAlpha:o};return r==null?lr((R,F,S)=>{let M=O.runKernel(Qs,E,A);return S([R,F,M]),{value:B(M,y),gradFunc:C}})(x,w):lr((R,F,S,M)=>{let W=O.runKernel(Qs,E,A);return M([R,F,W,S]),{value:B(W,y),gradFunc:C}})(x,w,I)}var aL=L({fusedMatMul_:nL});function rL(e){return ff(e,.54,.46)}var sL=L({hammingWindow_:rL});function iL(e){return ff(e,.5,.5)}var RT=L({hannWindow_:iL});function oL(e,t,n,a=!1,r=0){let s=0,i=[];for(;s+t<=e.size;)i.push(We(e,s,t)),s+=n;if(a)for(;s`Error in cropAndResize: image must be rank 4,but got rank ${i.rank}.`),$(o.rank===2&&o.shape[1]===4,()=>`Error in cropAndResize: boxes must be have size [${u},4] but had shape ${o.shape}.`),$(l.rank===1&&l.shape[0]===u,()=>`Error in cropAndResize: boxInd must be have size [${u}] but had shape ${o.shape}.`),$(a.length===2,()=>`Error in cropAndResize: cropSize must be of length 2, but got length ${a.length}.`),$(a[0]>=1&&a[1]>=1,()=>`cropSize must be atleast [1,1], but was ${a}`),$(r==="bilinear"||r==="nearest",()=>`method must be bilinear or nearest, but was ${r}`);let p={image:i,boxes:o,boxInd:l},d={method:r,extrapolationValue:s,cropSize:a};return O.runKernel(Gl,p,d)}var cL=L({cropAndResize_:pL});function dL(e){let t=_(e,"image","flipLeftRight","float32");$(t.rank===4,()=>`Error in flipLeftRight: image must be rank 4,but got rank ${t.rank}.`);let n={image:t};return O.runKernel(Yl,n,{})}var hL=L({flipLeftRight_:dL});function mL(e){let t=_(e,"image","grayscaleToRGB"),n=t.rank-1,a=t.shape[n];$(t.rank>=2,()=>`Error in grayscaleToRGB: images must be at least rank 2, but got rank ${t.rank}.`),$(a===1,()=>`Error in grayscaleToRGB: last dimension of a grayscale image should be size 1, but got size ${a}.`);let r=new Array(t.rank);return r.fill(1,0,n),r[n]=3,Pn(t,r)}var fL=L({grayscaleToRGB_:mL});function gL(e,t,n=0,a=.5){let r=_(e,"image","rotateWithOffset","float32");$(r.rank===4,()=>`Error in rotateWithOffset: image must be rank 4,but got rank ${r.rank}.`);let s={image:r},i={radians:t,fillValue:n,center:a};return O.runKernel(Ru,s,i)}var bL=L({rotateWithOffset_:gL});function Vu(e,t,n,a,r,s){a==null&&(a=.5),r==null&&(r=Number.NEGATIVE_INFINITY),s==null&&(s=0);let i=e.shape[0];return n=Math.min(n,i),$(0<=a&&a<=1,()=>`iouThreshold must be in [0, 1], but was '${a}'`),$(e.rank===2,()=>`boxes must be a 2D tensor, but was of rank '${e.rank}'`),$(e.shape[1]===4,()=>`boxes must have 4 columns, but 2nd dimension was ${e.shape[1]}`),$(t.rank===1,()=>"scores must be a 1D tensor"),$(t.shape[0]===i,()=>`scores has incompatible shape with boxes. Expected ${i}, but was ${t.shape[0]}`),$(0<=s&&s<=1,()=>`softNmsSigma must be in [0, 1], but was '${s}'`),{maxOutputSize:n,iouThreshold:a,scoreThreshold:r,softNmsSigma:s}}function yL(e,t,n,a=.5,r=Number.NEGATIVE_INFINITY){let s=_(e,"boxes","nonMaxSuppression","float32"),i=_(t,"scores","nonMaxSuppression","float32"),o=Vu(s,i,n,a,r);n=o.maxOutputSize,a=o.iouThreshold,r=o.scoreThreshold;let l={maxOutputSize:n,iouThreshold:a,scoreThreshold:r};return O.runKernel(du,{boxes:s,scores:i},l)}var xL=L({nonMaxSuppression_:yL});function vL(e,t,n){let a=wL(e,t,n),r=a<0?-(a+1):a;e.splice(r,0,t)}function wL(e,t,n){return IL(e,t,n||kL)}function kL(e,t){return e>t?1:e>>1);let o=n(t,e[s]);o>0?a=s+1:(r=s,i=!o)}return i?a:-a-1}function PT(e,t,n,a,r){return Kv(e,t,n,a,r,0)}function OT(e,t,n,a,r,s){return Kv(e,t,n,a,r,0,!1,s,!0)}function LT(e,t,n,a,r,s){return Kv(e,t,n,a,r,s,!0)}function Kv(e,t,n,a,r,s,i=!1,o=!1,l=!1){let u=[];for(let g=0;gr&&u.push({score:t[g],boxIndex:g,suppressBeginIndex:0});u.sort(mk);let p=s>0?-.5/s:0,d=[],c=[];for(;d.length0;){let g=u.pop(),{score:b,boxIndex:y,suppressBeginIndex:x}=g;if(b=x;--I){let T=SL(e,y,d[I]);if(T>=a){w=!0;break}if(g.score=g.score*TL(a,p,T),g.score<=r)break}g.suppressBeginIndex=d.length,w||(g.score===b?(d.push(y),c.push(g.score)):g.score>r&&vL(u,g,mk))}let h=d.length,m=n-h;o&&m>0&&(d.push(...new Array(m).fill(0)),c.push(...new Array(m).fill(0)));let f={selectedIndices:d};return i&&(f.selectedScores=c),l&&(f.validOutputs=h),f}function SL(e,t,n){let a=e.subarray(t*4,t*4+4),r=e.subarray(n*4,n*4+4),s=Math.min(a[0],a[2]),i=Math.min(a[1],a[3]),o=Math.max(a[0],a[2]),l=Math.max(a[1],a[3]),u=Math.min(r[0],r[2]),p=Math.min(r[1],r[3]),d=Math.max(r[0],r[2]),c=Math.max(r[1],r[3]),h=(o-s)*(l-i),m=(d-u)*(c-p);if(h<=0||m<=0)return 0;let f=Math.max(s,u),g=Math.max(i,p),b=Math.min(o,d),y=Math.min(l,c),x=Math.max(b-f,0)*Math.max(y-g,0);return x/(h+m-x)}function TL(e,t,n){let a=Math.exp(t*n*n);return n<=e?a:0}function mk(e,t){return e.score-t.score||e.score===t.score&&t.boxIndex-e.boxIndex}async function NL(e,t,n,a=.5,r=Number.NEGATIVE_INFINITY){let s=_(e,"boxes","nonMaxSuppressionAsync"),i=_(t,"scores","nonMaxSuppressionAsync"),o=Vu(s,i,n,a,r);n=o.maxOutputSize,a=o.iouThreshold,r=o.scoreThreshold;let l=await Promise.all([s.data(),i.data()]),u=l[0],p=l[1],{selectedIndices:d}=PT(u,p,n,a,r);return s!==e&&s.dispose(),i!==t&&i.dispose(),Ke(d,"int32")}var CL=NL;function _L(e,t,n,a=.5,r=Number.NEGATIVE_INFINITY,s=0){let i=_(e,"boxes","nonMaxSuppression"),o=_(t,"scores","nonMaxSuppression"),l=Vu(i,o,n,a,r,s);n=l.maxOutputSize,a=l.iouThreshold,r=l.scoreThreshold,s=l.softNmsSigma;let u={boxes:i,scores:o},p={maxOutputSize:n,iouThreshold:a,scoreThreshold:r,softNmsSigma:s},d=O.runKernel(mu,u,p);return{selectedIndices:d[0],selectedScores:d[1]}}var EL=L({nonMaxSuppressionWithScore_:_L});async function AL(e,t,n,a=.5,r=Number.NEGATIVE_INFINITY,s=0){let i=_(e,"boxes","nonMaxSuppressionAsync"),o=_(t,"scores","nonMaxSuppressionAsync"),l=Vu(i,o,n,a,r,s);n=l.maxOutputSize,a=l.iouThreshold,r=l.scoreThreshold,s=l.softNmsSigma;let u=await Promise.all([i.data(),o.data()]),p=u[0],d=u[1],{selectedIndices:c,selectedScores:h}=LT(p,d,n,a,r,s);return i!==e&&i.dispose(),o!==t&&o.dispose(),{selectedIndices:Ke(c,"int32"),selectedScores:Ke(h)}}var $L=AL;function FL(e,t,n,a=.5,r=Number.NEGATIVE_INFINITY,s=!1){let i=_(e,"boxes","nonMaxSuppression"),o=_(t,"scores","nonMaxSuppression"),l=Vu(i,o,n,a,r,null),u=l.maxOutputSize,p=l.iouThreshold,d=l.scoreThreshold,c={boxes:i,scores:o},h={maxOutputSize:u,iouThreshold:p,scoreThreshold:d,padToMaxOutputSize:s},m=O.runKernel(hu,c,h);return{selectedIndices:m[0],validOutputs:m[1]}}var DL=L({nonMaxSuppressionPadded_:FL});async function RL(e,t,n,a=.5,r=Number.NEGATIVE_INFINITY,s=!1){let i=_(e,"boxes","nonMaxSuppressionAsync"),o=_(t,"scores","nonMaxSuppressionAsync"),l=Vu(i,o,n,a,r,null),u=l.maxOutputSize,p=l.iouThreshold,d=l.scoreThreshold,[c,h]=await Promise.all([i.data(),o.data()]),{selectedIndices:m,validOutputs:f}=OT(c,h,u,p,d,s);return i!==e&&i.dispose(),o!==t&&o.dispose(),{selectedIndices:Ke(m,"int32"),validOutputs:ye(f,"int32")}}var ML=RL;function PL(e,t,n=!1,a=!1){let r=_(e,"images","resizeBilinear");$(r.rank===3||r.rank===4,()=>`Error in resizeBilinear: x must be rank 3 or 4, but got rank ${r.rank}.`),$(t.length===2,()=>`Error in resizeBilinear: new shape must 2D, but got shape ${t}.`),$(a===!1||n===!1,()=>"Error in resizeBilinear: If halfPixelCenters is true, alignCorners must be false.");let s=r,i=!1;r.rank===3&&(i=!0,s=B(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let[]=t,o={images:s},l={alignCorners:n,halfPixelCenters:a,size:t},u=O.runKernel(Ji,o,l);return i?B(u,[u.shape[1],u.shape[2],u.shape[3]]):u}var zT=L({resizeBilinear_:PL});function OL(e,t,n=!1,a=!1){let r=_(e,"images","resizeNearestNeighbor");$(r.rank===3||r.rank===4,()=>`Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank ${r.rank}.`),$(t.length===2,()=>`Error in resizeNearestNeighbor: new shape must 2D, but got shape ${t}.`),$(r.dtype==="float32"||r.dtype==="int32",()=>"`images` must have `int32` or `float32` as dtype"),$(a===!1||n===!1,()=>"Error in resizeNearestNeighbor: If halfPixelCenters is true, alignCorners must be false.");let s=r,i=!1;r.rank===3&&(i=!0,s=B(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let[]=t,o={images:s},l={alignCorners:n,halfPixelCenters:a,size:t},u=O.runKernel(Zi,o,l);return i?B(u,[u.shape[1],u.shape[2],u.shape[3]]):u}var BT=L({resizeNearestNeighbor_:OL});function LL(e,t="binary",n=!1,a=.5){let r=_(e,"image","threshold"),s=.2989,i=.587,o=.114,l=r.shape[0]*r.shape[1],u=z(Ke([a]),255),p,d,c,h;if($(r.rank===3,()=>`Error in threshold: image must be rank 3,but got rank ${r.rank}.`),$(r.shape[2]===3||r.shape[2]===1,()=>`Error in threshold: image color channel must be equal to 3 or 1but got ${r.shape[2]}.`),$(r.dtype==="int32"||r.dtype==="float32",()=>`Error in dtype: image dtype must be int32 or float32,but got dtype ${r.dtype}.`),$(t==="otsu"||t==="binary",()=>`Method must be binary or otsu, but was ${t}`),r.shape[2]===3){[p,d,c]=Ln(r,[1,1,1],-1);let f=z(p,s),g=z(d,i),b=z(c,o);h=Y(Y(f,g),b)}else h=e;if(t==="otsu"){let f=iv(oe(rf(h),"int32"),On([]),256);u=zL(f,l)}let m=n?Ss(h,u):Vn(h,u);return oe(z(m,255),"int32")}function zL(e,t){let n=Ke([-1]),a=Ke([0]),r=Ke([0]),s,i,o,l,u,p;for(let d=0;d`Error in transform: image must be rank 4,but got rank ${i.rank}.`),$(o.rank===2&&(o.shape[0]===i.shape[0]||o.shape[0]===1)&&o.shape[1]===8,()=>"Error in transform: Input transform should be batch x 8 or 1 x 8"),$(s==null||s.length===2,()=>`Error in transform: outputShape must be [height, width] or null, but got ${s}.`);let l={image:i,transforms:o},u={interpolation:n,fillMode:a,fillValue:r,outputShape:s};return O.runKernel($u,l,u)}var VL=L({transform_:WL});function UL(e,t,n){$(t%1===0,()=>`bandPart(): numLower must be an integer, got ${t}.`),$(n%1===0,()=>`bandPart(): numUpper must be an integer, got ${n}.`);let a=_(e,"a","bandPart");$(a.rank>=2,()=>`bandPart(): Rank must be at least 2, got ${a.rank}.`);let r=a.shape,[s,i]=a.shape.slice(-2);if(!(t<=s))throw new Error(`bandPart(): numLower (${t}) must not be greater than the number of rows (${s}).`);if(!(n<=i))throw new Error(`bandPart(): numUpper (${n}) must not be greater than the number of columns (${i}).`);t<0&&(t=s),n<0&&(n=i);let o=B(bl(0,s,1,"int32"),[-1,1]),l=bl(0,i,1,"int32"),u=pe(o,l),p=Aa(Ss(u,ye(+t,"int32")),Is(u,ye(-n,"int32"))),d=It([s,i],a.dtype);return B(Ft(ct(B(a,[-1,s,i])).map(c=>mn(p,c,d))),r)}var GL=L({bandPart_:UL});function HL(e){let t;if(Array.isArray(e)){t=!1,$(e!=null&&e.length>0,()=>"Gram-Schmidt process: input must not be null, undefined, or empty");let r=e[0].shape[0];for(let s=1;s`Gram-Schmidt: Non-unique lengths found in the input vectors: (${e[s].shape[0]} vs. ${r})`)}else t=!0,e=Ln(e,e.shape[0],0).map(r=>Ns(r,[0]));$(e.length<=e[0].shape[0],()=>`Gram-Schmidt: Number of vectors (${e.length}) exceeds number of dimensions (${e[0].shape[0]}).`);let n=[],a=e;for(let r=0;r{let s=a[r];if(r>0)for(let i=0;i=2,()=>`qr() requires input tensor to have a rank >= 2, but got rank ${e.rank}`),e.rank===2)return fk(e,t);{let n=e.shape.slice(0,e.shape.length-2).reduce((l,u)=>l*u),a=ct(B(e,[n,e.shape[e.shape.length-2],e.shape[e.shape.length-1]]),0),r=[],s=[];a.forEach(l=>{let[u,p]=fk(l,t);r.push(u),s.push(p)});let i=B(Ft(r,0),e.shape),o=B(Ft(s,0),e.shape);return[i,o]}}function fk(e,t=!1){return O.tidy(()=>{$(e.shape.length===2,()=>`qr2d() requires a 2D Tensor, but got a ${e.shape.length}D Tensor.`);let n=e.shape[0],a=e.shape[1],r=Xm(n),s=sr(e),i=Ea([[1]],[1,1]),o=sr(i),l=n>=a?a:n;for(let u=0;u{let h=We(s,[u,u],[n-u,1]),m=Ou(h),f=We(s,[u,u],[1,1]),g=mn(Vn(f,0),Ea([[-1]]),Ea([[1]])),b=pe(f,z(g,m)),y=he(h,b);y.shape[0]===1?o=sr(i):o=Ze([i,We(y,[1,0],[y.shape[0]-1,y.shape[1]])],0);let x=vt(he(Ae(g,b),m)),w=We(s,[u,0],[n-u,a]),I=z(x,o),T=Ce(o);if(u===0)s=pe(w,Ae(I,Ae(T,w)));else{let A=pe(w,Ae(I,Ae(T,w)));s=Ze([We(s,[0,0],[u,a]),A],0)}let C=Ce(I),E=We(r,[0,u],[n,r.shape[1]-u]);if(u===0)r=pe(E,Ae(Ae(E,o),C));else{let A=pe(E,Ae(Ae(E,o),C));r=Ze([We(r,[0,0],[n,u]),A],1)}return[o,s,r]}),$e([p,d,c])}return!t&&n>a&&(r=We(r,[0,0],[n,a]),s=We(s,[0,0],[a,a])),[r,s]})}var KL=L({qr_:qL}),vn;(function(e){e[e.NONE=0]="NONE",e[e.MEAN=1]="MEAN",e[e.SUM=2]="SUM",e[e.SUM_BY_NONZERO_WEIGHTS=3]="SUM_BY_NONZERO_WEIGHTS"})(vn||(vn={}));function XL(e,t,n=vn.SUM_BY_NONZERO_WEIGHTS){let a=_(e,"losses","computeWeightedLoss"),r=null;t!=null&&(r=_(t,"weights","computeWeightedLoss"));let s=r==null?a:z(a,r);if(n===vn.NONE)return s;if(n===vn.SUM)return fe(s);if(n===vn.MEAN){if(r==null)return Nt(s);{let i=a.size/r.size,o=he(fe(s),fe(r));return i>1?he(o,ye(i)):o}}if(n===vn.SUM_BY_NONZERO_WEIGHTS){if(r==null)return he(fe(s),ye(a.size));{let i=z(r,Zn(a.shape)),o=oe(fe(oi(i,ye(0))),"float32");return he(fe(s),o)}}throw Error(`Unknown reduction: ${n}`)}var Fr=L({computeWeightedLoss_:XL});function YL(e,t,n,a=vn.SUM_BY_NONZERO_WEIGHTS){let r=_(e,"labels","absoluteDifference"),s=_(t,"predictions","absoluteDifference"),i=null;n!=null&&(i=_(n,"weights","absoluteDifference")),Sn(r.shape,s.shape,"Error in absoluteDifference: ");let o=Lt(pe(r,s));return Fr(o,i,a)}var ZL=L({absoluteDifference_:YL});function JL(e,t,n,a,r=vn.SUM_BY_NONZERO_WEIGHTS){let s=_(e,"labels","cosineDistance"),i=_(t,"predictions","cosineDistance"),o=null;a!=null&&(o=_(a,"weights","cosineDistance")),Sn(s.shape,i.shape,"Error in cosineDistance: ");let l=ye(1),u=pe(l,fe(z(s,i),n,!0));return Fr(u,o,r)}var QL=L({cosineDistance_:JL});function ez(e,t,n,a=vn.SUM_BY_NONZERO_WEIGHTS){let r=_(e,"labels","hingeLoss"),s=_(t,"predictions","hingeLoss"),i=null;n!=null&&(i=_(n,"weights","hingeLoss")),Sn(r.shape,s.shape,"Error in hingeLoss: ");let o=ye(1);r=pe(z(ye(2),r),o);let l=Xe(pe(o,z(r,s)));return Fr(l,i,a)}var tz=L({hingeLoss_:ez});function nz(e,t,n,a=1,r=vn.SUM_BY_NONZERO_WEIGHTS){let s=_(e,"labels","huberLoss"),i=_(t,"predictions","huberLoss"),o=null;n!=null&&(o=_(n,"weights","huberLoss")),Sn(s.shape,i.shape,"Error in huberLoss: ");let l=ye(a),u=Lt(pe(i,s)),p=Bu(u,l),d=pe(u,p),c=Y(z(ye(.5),lt(p)),z(l,d));return Fr(c,o,r)}var az=L({huberLoss_:nz});function rz(e,t,n,a=1e-7,r=vn.SUM_BY_NONZERO_WEIGHTS){let s=_(e,"labels","logLoss"),i=_(t,"predictions","logLoss"),o=null;n!=null&&(o=_(n,"weights","logLoss")),Sn(s.shape,i.shape,"Error in logLoss: ");let l=ye(1),u=ye(a),p=vt(z(s,ea(Y(i,u)))),d=z(pe(l,s),ea(Y(pe(l,i),u))),c=pe(p,d);return Fr(c,o,r)}var sz=L({logLoss_:rz});function iz(e,t,n,a=vn.SUM_BY_NONZERO_WEIGHTS){let r=_(e,"labels","meanSquaredError"),s=_(t,"predictions","meanSquaredError"),i=null;n!=null&&(i=_(n,"weights","meanSquaredError")),Sn(r.shape,s.shape,"Error in meanSquaredError: ");let o=df(r,s);return Fr(o,i,a)}var oz=L({meanSquaredError_:iz});function lz(e,t){let n=_(e,"labels","sigmoidCrossEntropyWithLogits"),a=_(t,"logits","sigmoidCrossEntropyWithLogits");Sn(n.shape,a.shape,"Error in sigmoidCrossEntropyWithLogits: ");let r=Xe(a),s=z(a,n),i=Oc(fn(vt(Lt(a))));return Y(pe(r,s),i)}function uz(e,t,n,a=0,r=vn.SUM_BY_NONZERO_WEIGHTS){let s=_(e,"multiClassLabels","sigmoidCrossEntropy"),i=_(t,"logits","sigmoidCrossEntropy"),o=null;if(n!=null&&(o=_(n,"weights","sigmoidCrossEntropy")),Sn(s.shape,i.shape,"Error in sigmoidCrossEntropy: "),a>0){let u=ye(a),p=ye(1),d=ye(.5);s=Y(z(s,pe(p,u)),z(d,u))}let l=lz(s,i);return Fr(l,o,r)}var pz=L({sigmoidCrossEntropy_:uz});function cz(e,t,n=-1){if(n===-1&&(n=t.rank-1),n!==t.rank-1)throw Error(`Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank ${t.rank} and dim was ${n}`);return lr((a,r,s)=>{let i=Qm(r,[n],!0),o=pe(oe(r,"float32"),i);s([a,o]);let l=vt(z(o,a));return{value:fe(l,[n]),gradFunc:(u,p)=>{let[d,c]=p,h=ii(u.shape,[n]);return[z(B(u,h),pe(oe(d,"float32"),fn(c))),z(B(u,h),pe(fn(c),oe(d,"float32")))]}}})(e,t)}function dz(e,t,n,a=0,r=vn.SUM_BY_NONZERO_WEIGHTS){let s=_(e,"onehotLabels","softmaxCrossEntropy"),i=_(t,"logits","softmaxCrossEntropy"),o=null;if(n!=null&&(o=_(n,"weights","softmaxCrossEntropy")),Sn(s.shape,i.shape,"Error in softmaxCrossEntropy: "),a>0){let u=ye(a),p=ye(1),d=ye(s.shape[1]);s=Y(z(s,pe(p,u)),he(u,d))}let l=cz(s,i);return Fr(l,o,r)}var hz=L({softmaxCrossEntropy_:dz});function mz(e,t,n,a){let r=_(e,"indices","sparseFillEmptyRows","int32"),s=_(t,"values","sparseFillEmptyRows"),i=_(n,"denseShape","sparseFillEmptyRows","int32"),o=_(a,"defaultValue","sparseFillEmptyRows",s.dtype);if(r.rank!==2)throw new Error(`Indices should be Tensor2D but received shape - ${r.shape}`);if(s.rank!==1)throw new Error(`Values should be Tensor1D but received shape ${s.shape}`);if(i.rank!==1)throw new Error(`Dense shape should be Tensor1D but received shape ${i.shape}`);if(o.rank!==0)throw new Error(`Default value should be a scalar but received shape ${o.shape}`);let l={indices:r,values:s,denseShape:i,defaultValue:o},u=O.runKernel(yc,l);return{outputIndices:u[0],outputValues:u[1],emptyRowIndicator:u[2],reverseIndexMap:u[3]}}var fz=L({sparseFillEmptyRows_:mz});function gz(e,t,n){let a=_(e,"inputIndices","sparseReshape","int32"),r=_(t,"inputShape","sparseReshape","int32"),s=_(n,"newShape","sparseReshape","int32");if(a.rank!==2)throw new Error(`Input indices should be Tensor2D but received shape - ${a.shape}`);if(r.rank!==1)throw new Error(`Input shape should be Tensor1D but received shape ${r.shape}`);if(s.rank!==1)throw new Error(`New shape should be Tensor1D but received shape ${s.shape}`);let i={inputIndices:a,inputShape:r,newShape:s},o=O.runKernel(_u,i);return{outputIndices:o[0],outputShape:o[1]}}var bz=L({sparseReshape_:gz});function yz(e,t,n){let a=_(e,"data","sparseSegmentMean"),r=_(t,"indices","sparseSegmentMean","int32"),s=_(n,"segmentIds","sparseSegmentMean","int32");if(a.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.rank!==1)throw new Error(`Indices should be Tensor1D but received shape + ${a.shape}`),$(i%(t*t)===0,()=>`Dimension size must be evenly divisible by ${t*t} but is ${i} for depthToSpace with input shape ${a.shape}`);let o={x:a},l={blockSize:t,dataFormat:n};return O.runKernel(ql,o,l)}var bv=L({depthToSpace_:AP});function $P(e,t,n,a,r="NHWC",s=[1,1],i){let o=_(e,"x","depthwiseConv2d","float32"),l=_(t,"filter","depthwiseConv2d","float32"),u=o,p=!1;o.rank===3&&(p=!0,u=W(o,[1,o.shape[0],o.shape[1],o.shape[2]])),$(u.rank===4,()=>`Error in depthwiseConv2d: input must be rank 4, but got rank ${u.rank}.`),$(l.rank===4,()=>`Error in depthwiseConv2d: filter must be rank 4, but got rank ${l.rank}.`);let d=r==="NHWC"?u.shape[3]:u.shape[1];$(d===l.shape[2],()=>`Error in depthwiseConv2d: number of input channels (${d}) must match the inChannels dimension in filter ${l.shape[2]}.`),Nn("depthwiseConv2d",a,i);let c={x:u,filter:l},h={strides:n,pad:a,dataFormat:r,dilations:s,dimRoundingMode:i},m=O.runKernel(Ni,c,h);return p?W(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var Is=L({depthwiseConv2d_:$P});function FP(e){let t={x:_(e,"x","diag")};return O.runKernel(wm,t)}var eT=L({diag_:FP});function DP(e,t,n,a,r=[1,1],s="NHWC"){let i=_(e,"x","dilation2d"),o=_(t,"filter","dilation2d");$(i.rank===3||i.rank===4,()=>`Error in dilation2d: input must be rank 3 or 4, but got rank ${i.rank}.`),$(o.rank===3,()=>`Error in dilation2d: filter must be rank 3, but got rank ${o.rank}.`),$(s==="NHWC",()=>`Error in dilation2d: Only NHWC is currently supported, but got dataFormat of ${s}`);let l=i,u=!1;i.rank===3&&(l=W(i,[1,i.shape[0],i.shape[1],i.shape[2]]),u=!0);let p={x:l,filter:o},d={strides:n,pad:a,dilations:r},c=O.runKernel(fc,p,d);return u?W(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var yv=L({dilation2d_:DP});function RP(e,t){let n=_(e,"a","equal","string_or_numeric"),a=_(t,"b","equal","string_or_numeric");[n,a]=_t(n,a),ut(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(Xl,r)}var ea=L({equal_:RP});function MP(e,t,n){let a=_(t,"a","where"),r=_(n,"b","where"),s=_(e,"condition","where","bool"),i=ut(ut(s.shape,a.shape),r.shape),o=Xs(s,i),l=Xs(a,i),u=Xs(r,i),p={condition:o,t:l,e:u};return O.runKernel(ku,p)}var mn=L({where_:MP});function PP(e){let t={x:_(e,"x","zerosLike")};return O.runKernel(Mu,t)}var qe=L({zerosLike_:PP});function OP(e,t){let n=_(e,"a","div"),a=_(t,"b","div");[n,a]=_t(n,a);let r=he(n,a),s=qe(r),i=ea(a,s);return mn(i,s,r)}var xv=L({divNoNan_:OP});function LP(e,t){let n=_(e,"t1","dot"),a=_(t,"t2","dot");$((n.rank===1||n.rank===2)&&(a.rank===1||a.rank===2),()=>`Error in dot: inputs must all be rank 1 or 2, but got ranks ${n.rank} and ${a.rank}.`);let r=n.rank===1?n.size:n.shape[1],s=a.rank===1?a.size:a.shape[0];if($(r===s,()=>`Error in dot: inner dimensions of inputs must match, but got ${r} and ${s}.`),n.rank===1&&a.rank===1){let i=W(n,[1,-1]),o=W(a,[-1,1]),l=Fe(i,o);return W(l,[])}else if(n.rank===1&&a.rank===2){let i=W(n,[1,-1]),o=W(a,[a.shape[0],a.shape[1]]),l=Fe(i,o);return W(l,[l.size])}else if(n.rank===2&&a.rank===1){let i=W(a,[-1,1]),o=Fe(n,i);return W(o,[o.size])}else{let i=W(a,[a.shape[0],a.shape[1]]);return Fe(n,i)}}var vv=L({dot_:LP});function zP(e,...t){let n=t.map((r,s)=>_(r,`tensors${s}`,"einsum")),a={equation:e};return O.runKernel(km,n,a)}var tT=L({einsum_:zP});function WP(e){let t={x:_(e,"x","elu","float32")};return O.runKernel(_i,t)}var Lu=L({elu_:WP});function BP(e){let t=_(e,"x","erf");$(t.dtype==="int32"||t.dtype==="float32",()=>"Input dtype must be `int32` or `float32`."),t.dtype==="int32"&&(t=oe(t,"float32"));let n={x:t};return O.runKernel(Kl,n)}var wv=L({erf_:BP});function kv(e,t){for(let n=0;ne[s]);return[n,r]}function ii(e,t){let n=t.map(a=>1);return nT(e,n,t)}function VP(e,t,n){$(kv(t,n),()=>`${e} supports only inner-most axes for now. Got axes ${t} and rank-${n} input.`)}function rT(e,t){if(kv(e,t))return null;let n=[];for(let a=0;an.push(a)),n}function Iv(e){return e.map((t,n)=>[n,t]).sort((t,n)=>t[1]-n[1]).map(t=>t[0])}function UP(e,t){let n=[];for(let a=t-e;a"Axis must be <= rank of the tensor");let a={input:n},r={dim:t};return O.runKernel(Yl,a,r)}var Zt=L({expandDims_:QP});function eO(e){let t={x:_(e,"x","expm1")};return O.runKernel(Zl,t)}var Tv=L({expm1_:eO});function tO(e,t){let n=_(e,"x","tile","string_or_numeric");$(n.rank===t.length,()=>`Error in transpose: rank of input ${n.rank} must match length of reps ${t}.`);let a={x:n},r={reps:t};return O.runKernel(ys,a,r)}var Ln=L({tile_:tO});function nO(e,t,n,a="float32"){t==null&&(t=e);let r=Oe([e,t],a),s=e<=t?e:t;for(let o=0;o`Error in localResponseNormalization: x must be rank 3 or 4 but got + rank ${s.rank}.`),$(hl(t),()=>`Error in localResponseNormalization: depthRadius must be an integer but got depthRadius ${t}.`);let i=s,o=!1;s.rank===3&&(o=!0,i=W(s,[1,s.shape[0],s.shape[1],s.shape[2]]));let l={x:i},u={depthRadius:t,bias:n,alpha:a,beta:r},p=O.runKernel(bc,l,u);return o?W(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var Ev=L({localResponseNormalization_:hO});function mO(e){let t={x:_(e,"x","log","float32")};return O.runKernel(Pi,t)}var ta=L({log_:mO});function fO(e){let t={x:_(e,"x","log1p")};return O.runKernel(ou,t)}var zc=L({log1p_:fO});function gO(e){return $(ss(e),()=>"The f passed in grad(f) must be a function"),(t,n)=>{let a=_(t,"x","tf.grad","string_or_numeric"),r=n!=null?_(n,"dy","tf.grad"):null;return O.tidy(()=>{let{value:s,grads:i}=O.gradients(()=>e(a),[a],r);return r!=null&&Tn(s.shape,r.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),Qm(i),i[0]})}}function bO(e){return $(ss(e),()=>"The f passed in grads(f) must be a function"),(t,n)=>{$(Array.isArray(t),()=>"The args passed in grads(f)(args) must be an array of `Tensor`s or `TensorLike`s");let a=Jp(t,"args","tf.grads","string_or_numeric"),r=n!=null?_(n,"dy","tf.grads"):null;return O.tidy(()=>{let{value:s,grads:i}=O.gradients(()=>e(...a),a,r);return r!=null&&Tn(s.shape,r.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Qm(i),i})}}function yO(e){return $(ss(e),()=>"The f passed in valueAndGrad(f) must be a function"),(t,n)=>{$(t instanceof Te,()=>"The x passed in valueAndGrad(f)(x) must be a tensor"),$(n==null||n instanceof Te,()=>"The dy passed in valueAndGrad(f)(x, dy) must be a tensor");let{grads:a,value:r}=O.gradients(()=>e(t),[t],n);return Qm(a),{grad:a[0],value:r}}}function xO(e){return $(ss(e),()=>"The f passed in valueAndGrads(f) must be a function"),(t,n)=>{$(Array.isArray(t)&&t.every(r=>r instanceof Te),()=>"The args passed in valueAndGrads(f)(args) must be array of tensors"),$(n==null||n instanceof Te,()=>"The dy passed in valueAndGrads(f)(args, dy) must be a tensor");let a=O.gradients(()=>e(...t),t,n);return n!=null&&Tn(a.value.shape,n.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Qm(a.grads),a}}function oT(e,t){$(ss(e),()=>"The f passed in variableGrads(f) must be a function"),$(t==null||Array.isArray(t)&&t.every(u=>u instanceof is),()=>"The varList passed in variableGrads(f, varList) must be an array of variables");let n=t!=null;if(!n){t=[];for(let u in O.registeredVariables)t.push(O.registeredVariables[u])}let a=n?t.filter(u=>!u.trainable):null,r=t.length;t=t.filter(u=>u.trainable),$(t.length>0,()=>`variableGrads() expects at least one of the input variables to be trainable, but none of the ${r} variables is trainable.`);let s=!0,{value:i,grads:o}=O.gradients(e,t,null,s);$(o.some(u=>u!=null),()=>"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize()."),$(i.rank===0,()=>`The f passed in variableGrads(f) must return a scalar, but it returned a rank-${i.rank} tensor`);let l={};return t.forEach((u,p)=>{o[p]!=null&&(l[u.name]=o[p])}),a!=null&&a.forEach(u=>l[u.name]=null),{value:i,grads:l}}function ur(e){return O.customGrad(e)}function Qm(e){if(e.filter(t=>t==null).length>0)throw new Error(`Cannot compute gradient of y=f(x) with respect to x. Make sure that + the f you passed encloses all operations that lead from x to y.`)}function vO(e){let t={x:_(e,"x","softplus")};return O.runKernel(Cu,t)}var mo=L({softplus_:vO});function wO(e){let t=_(e,"x","logSigmoid");return ur(n=>({value:vt(mo(vt(n))),gradFunc:a=>z(a,ha(vt(n)))}))(t)}var Av=L({logSigmoid_:wO});function kO(e,t){let n=_(e,"a","sub"),a=_(t,"b","sub");[n,a]=_t(n,a);let r={a:n,b:a};return O.runKernel(uo,r)}var pe=L({sub_:kO});function IO(e,t=-1){let n=_(e,"logits","logSoftmax");if(t===-1&&(t=n.rank-1),t!==n.rank-1)throw Error(`Log Softmax along a non-last dimension is not yet supported. Logits was rank ${n.rank} and axis was ${t}`);return ur((a,r)=>{let s=ma(a,t,!0),i=pe(a,s),o=pe(oe(i,"float32"),ta(fe(fn(i),t,!0)));return r([o]),{value:o,gradFunc:(l,u)=>{let[p]=u,d=!0,c=fn(p);return pe(l,z(fe(l,t,d),c))}}})(n)}var ef=L({logSoftmax_:IO});function SO(e,t=null,n=!1){let a=_(e,"x","logSumExp"),r=Fa(t,a.shape),s=ma(a,r,!0),i=pe(a,s),o=fn(i),l=fe(o,r),u=ta(l),p=Y(W(s,u.shape),u);if(n){let d=ii(p.shape,r);return W(p,d)}return p}var tf=L({logSumExp_:SO});function TO(e,t){let n=_(e,"a","logicalAnd","bool"),a=_(t,"b","logicalAnd","bool");ut(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(lu,r)}var $a=L({logicalAnd_:TO});function NO(e){let t={x:_(e,"x","logicalNot","bool")};return O.runKernel(uu,t)}var Wc=L({logicalNot_:NO});function CO(e,t){let n=_(e,"a","logicalOr","bool"),a=_(t,"b","logicalOr","bool");ut(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(pu,r)}var nf=L({logicalOr_:CO});function _O(e,t){let n=_(e,"a","logicalXor","bool"),a=_(t,"b","logicalXor","bool");return ut(n.shape,a.shape),$a(nf(e,t),Wc($a(e,t)))}var $v=L({logicalXor_:_O}),ih=2147483648;function EO(e,t,n="left"){let a=_(e,"sortedSequence","searchSorted"),r=_(t,"values","searchSorted"),s=a.shape[a.shape.length-1],i=r.shape[r.shape.length-1],o=W(a,[-1,s]),l=W(r,[-1,i]);if(o.rank<2)throw new Error("Sorted input argument must be at least 2-dimensional");if(o.shape[0]!==l.shape[0])throw new Error("Leading dimension of 'sortedSequence' and 'values' must match.");if(mt(l.shape)>=ih)throw new Error(`values tensor size must less than ${ih}`);if(o.shape[1]>=ih)throw new Error(`trailing dim_size must less than ${ih} for int32 output type, was ${o.shape[1]}`);let u={sortedSequence:o,values:l},p={side:n};return O.runKernel(zm,u,p)}var af=L({searchSorted_:EO});function lT(e,t){return af(e,t,"left")}function AO(e,t,n,a,r){let s=_(e,"x","maxPool"),i=1,o=s,l=!1;s.rank===3&&(l=!0,o=W(s,[1,s.shape[0],s.shape[1],s.shape[2]])),$(o.rank===4,()=>`Error in maxPool: input must be rank 4 but got rank ${o.rank}.`),$(cr(n,i),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${n} and dilations '${i}'`),Nn("maxPool",a,r);let u={x:o},p={filterSize:t,strides:n,pad:a,dimRoundingMode:r},d=O.runKernel(zi,u,p);return l?W(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var Dt=L({maxPool_:AO});function $O(e,t=[1,1,1],n,a,r,s="NDHWC"){let i=_(e,"x","maxPool3d"),o=i,l=!1;i.rank===4&&(l=!0,o=W(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),$(o.rank===5,()=>`Error in maxPool3d: x must be rank 5 but got rank ${o.rank}.`),$(s==="NDHWC",()=>`Error in maxPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),Nn("maxPool3d",a,r);let u={x:o},p={filterSize:t,strides:n,pad:a,dimRoundingMode:r,dataFormat:s},d=O.runKernel(yc,u,p);return l?W(d,[d.shape[1],d.shape[2],d.shape[3],d.shape[4]]):d}var Fv=L({maxPool3d_:$O});function FO(e,t,n,a,r=!1){let s={x:_(e,"x","maxPoolWithArgmax")},i={filterSize:t,strides:n,pad:a,includeBatchInIndex:r},o=O.runKernel($m,s,i);return{result:o[0],indexes:o[1]}}var uT=L({maxPoolWithArgmax_:FO});function DO(e,t){let n=_(e,"a","maximum"),a=_(t,"b","maximum");[n,a]=_t(n,a),n.dtype==="bool"&&(n=oe(n,"int32"),a=oe(a,"int32")),ut(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(Li,r)}var dr=L({maximum_:DO});function RO(e,t=null,n=!1){let a={x:_(e,"x","mean")},r={axis:t,keepDims:n};return O.runKernel(Wi,a,r)}var Nt=L({mean_:RO});function It(e,t="float32"){if(t==="complex64"){let a=It(e,"float32"),r=It(e,"float32");return Ar(a,r)}let n=um(mt(e),t);return O.makeTensor(n,e,t)}function Jn(e,t="float32"){if(t==="complex64"){let a=Jn(e,"float32"),r=It(e,"float32");return Ar(a,r)}let n=_x(mt(e),t);return O.makeTensor(n,e,t)}function pT(e,t,{indexing:n="xy"}={}){if(n!=="xy"&&n!=="ij")throw new TypeError(`${n} is not a valid third argument to meshgrid`);if(e===void 0)return[];let a=_(e,"x","meshgrid",e instanceof Te?e.dtype:"float32");if(t===void 0)return[a];let r=_(t,"y","meshgrid",t instanceof Te?t.dtype:"float32"),s=mt(a.shape),i=mt(r.shape);return n==="xy"?(a=W(a,[1,-1]),r=W(r,[-1,1]),[Fe(Jn([i,1],a.dtype),a),Fe(r,Jn([1,s],r.dtype))]):(a=W(a,[-1,1]),r=W(r,[1,-1]),[Fe(a,Jn([1,i],a.dtype)),Fe(Jn([s,1],r.dtype),r)])}function MO(e,t){let n=_(e,"a","minimum"),a=_(t,"b","minimum");[n,a]=_t(n,a),n.dtype==="bool"&&(n=oe(n,"int32"),a=oe(a,"int32")),ut(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(Vi,r)}var Vu=L({minimum_:MO});function PO(e,t,n){$(n==="reflect"||n==="symmetric",()=>`Invalid mode. Mode must be either reflect or symmetric. Got ${n}.`);let a=_(e,"x","mirrorPad");if(a.rank===0)throw new Error("mirrorPad(scalar) is not defined. Pass non-scalar to mirrorPad");$(t.length===a.rank,()=>`Padding doesn't match input. Must be ${a.rank}. Got ${t.length}.`);let r=n==="reflect"?1:0;for(let o=0;o"Invalid number of paddings. Must be length of 2 each."),$(t[o][0]>=0&&t[o][0]<=a.shape[o]-r&&t[o][1]>=0&&t[o][1]<=a.shape[o]-r,()=>`Padding in dimension ${o} cannot be greater than or equal to ${a.shape[o]-r} or less than 0 for input of shape ${a.shape}`);let s={paddings:t,mode:n},i={x:a};return O.runKernel(Ui,i,s)}var Dv=L({mirrorPad_:PO});function OO(e,t){let n=_(e,"a","mod"),a=_(t,"b","mod");[n,a]=_t(n,a);let r={a:n,b:a};return O.runKernel(cu,r)}var Rv=L({mod_:OO});function LO(e,t=null,n=!1){e=_(e,"x","moments");let a=Fa(t,e.shape),r=Nt(e,a,n),s=r.shape;n||(s=ii(r.shape,a));let i=lt(pe(oe(e,"float32"),W(r,s))),o=Nt(i,a,n);return{mean:r,variance:o}}var Bc=L({moments_:LO});function zO(e,t,n,a){let r=_(t,"data","multiRNNCell"),s=Jp(n,"c","multiRNNCell"),i=Jp(a,"h","multiRNNCell"),o=r,l=[];for(let d=0;d2)throw new Error(`Rank of probabilities must be 1 or 2, but is ${i}`);n=n||Math.random();let o={logits:i===1?W(r,[1,-1]):r},l={numSamples:t,seed:n,normalized:a},u=O.runKernel(Fm,o,l);return i===1?W(u,[u.size]):u}var dT=L({multinomial_:WO});function BO(e,t){let n=_(e,"a","notEqual","string_or_numeric"),a=_(t,"b","notEqual","string_or_numeric");[n,a]=_t(n,a),ut(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(hu,r)}var oi=L({notEqual_:BO});function VO(e){let t={x:_(e,"x","onesLike")};return O.runKernel(bu,t)}var na=L({onesLike_:VO});function UO(e,t){let n=_(e,"v1","outerProduct"),a=_(t,"v2","outerProduct");$(n.rank===1&&a.rank===1,()=>`Error in outerProduct: inputs must be rank 1, but got ranks ${n.rank} and ${a.rank}.`);let r=W(n,[-1,1]),s=W(a,[1,-1]);return Fe(r,s)}var hT=L({outerProduct_:UO});function GO(e,t,n=0){let a=_(e,"x","pad");if(a.rank===0)throw new Error("pad(scalar) is not defined. Pass non-scalar to pad");let r={paddings:t,constantValue:n},s={x:a};return O.runKernel(ji,s,r)}var ya=L({pad_:GO});function HO(e,t,n=0){return $(t.length===2,()=>"Invalid number of paddings. Must be length of 2."),ya(e,[t],n)}var mT=L({pad1d_:HO});function jO(e,t,n=0){return $(t.length===2&&t[0].length===2&&t[1].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),ya(e,t,n)}var fT=L({pad2d_:jO});function qO(e,t,n=0){return $(t.length===3&&t[0].length===2&&t[1].length===2&&t[2].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),ya(e,t,n)}var gT=L({pad3d_:qO});function KO(e,t,n=0){return $(t.length===4&&t[0].length===2&&t[1].length===2&&t[2].length===2&&t[3].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),ya(e,t,n)}var bT=L({pad4d_:KO});function XO(e,t,n){let a=_(e,"x","spaceToBatchND");$(a.rank>=1+t.length,()=>`input rank ${a.rank} should be > than [blockShape] ${t.length}`),$(n.length===t.length,()=>`paddings.shape[0] ${n.length} must be equal to [blockShape] ${t.length}`),$(a.shape.reduce((i,o,l)=>l>0&&l<=t.length?i&&(o+n[l-1][0]+n[l-1][1])%t[l-1]===0:i,!0),()=>`input spatial dimensions ${a.shape.slice(1)} with paddings ${n.toString()} must be divisible by blockShapes ${t.toString()}`);let r={x:a},s={blockShape:t,paddings:n};return O.runKernel(_u,r,s)}var Vc=L({spaceToBatchND_:XO});function YO(e,t,n,a,r,s,i){r==null&&(r=[1,1]),s==null&&(s=1),a===0&&(a="valid");let o=_(e,"x","maxPool"),l=o,u=!1;o.rank===3&&(u=!0,l=W(o,[1,o.shape[0],o.shape[1],o.shape[2]])),$(cr(s,r),()=>`Error in pool: Either strides or dilations must be 1. Got strides ${s} and dilations '${r}'`);let p=KS(l.shape,t,s,r,a),d=[p.dilationHeight,p.dilationWidth],c;a==="same"?c=JO([p.filterHeight,p.filterWidth],d):c=[[0,0],[0,0]];let h=d[0]===1&&d[1]===1,[m,f]=ZO([p.inHeight,p.inWidth],d,c),g=h?a:"valid",b=h?l:Vc(l,d,m),y=(n==="avg"?()=>ba(b,t,s,g,i):()=>Dt(b,t,s,g,i))(),x=h?y:Pc(y,d,f);return u?W(x,[x.shape[1],x.shape[2],x.shape[3]]):x}function ZO(e,t,n){let a=n.map(p=>p[0]),r=n.map(p=>p[1]),s=e.concat(a,r),i=t.map((p,d)=>(p-s[d]%p)%p),o=r.map((p,d)=>p+i[d]),l=t.map((p,d)=>[a[d],o[d]]),u=t.map((p,d)=>[0,i[d]]);return[l,u]}function JO(e,t){let n=e.map((s,i)=>s+(s-1)*(t[i]-1)).map(s=>s-1),a=n.map(s=>Math.floor(s/2)),r=n.map((s,i)=>s-a[i]);return n.map((s,i)=>[a[i],r[i]])}var Mv=L({pool_:YO});function QO(e,t){let n=_(e,"x","prelu"),a=_(t,"alpha","prelu"),r={x:n,alpha:a};return O.runKernel(Ki,r)}var Uc=L({prelu_:QO});function e3(e,t=null,n=!1){let a=_(e,"x","prod");a.dtype==="bool"&&(a=oe(a,"int32"));let r={x:a},s={axis:t,keepDims:n};return O.runKernel(Xi,r,s)}var Pv=L({prod_:e3});function t3(e,t,n,a){let r=e.map((p,d)=>_(p,`tensors${d}`,"raggedGather","int32")),s=_(t,"paramsDenseValues","raggedGather"),i=_(n,"indices","raggedGather","int32"),o={paramsNestedSplits:r,paramsDenseValues:s,indices:i},l={outputRaggedRank:a},u=O.runKernel(Dm,o,l);return{outputNestedSplits:u.slice(0,u.length-1),outputDenseValues:u[u.length-1]}}var yT=L({raggedGather_:t3});function n3(e,t,n){let a=_(e,"starts","raggedRange"),r=_(t,"limits","raggedRange",a.dtype),s=_(n,"deltas","raggedRange",a.dtype),i={starts:a,limits:r,deltas:s},o=O.runKernel(Rm,i);return{rtNestedSplits:o[0],rtDenseValues:o[1]}}var xT=L({raggedRange_:n3});function a3(e,t,n,a,r){let s=_(e,"shape","raggedTensorToTensor","int32"),i=_(t,"values","raggedTensorToTensor"),o=_(n,"defaultValue","raggedTensorToTensor",i.dtype),l=a.map((d,c)=>_(d,`tensors${c}`,"raggedTensorToTensor","int32")),u={shape:s,values:i,defaultValue:o,rowPartitionTensors:l},p={rowPartitionTypes:r};return O.runKernel(Mm,u,p)}var vT=L({raggedTensorToTensor_:a3});function r3(e,t,n){let a=mt(e),r=null;if(n==null||n==="float32")r=new Float32Array(a);else if(n==="int32")r=new Int32Array(a);else if(n==="bool")r=new Uint8Array(a);else throw new Error(`Unknown data type ${n}`);for(let s=0;s=1||s===0);let i=Math.sqrt(-2*Math.log(s)/s);e=this.mean+this.stdDev*a*i,t=this.mean+this.stdDev*r*i,(!this.truncated||this.isValidTruncated(e))&&(n=!0)}return(!this.truncated||this.isValidTruncated(t))&&(this.nextVal=this.convertValue(t)),this.convertValue(e)}convertValue(e){return this.dtype==null||this.dtype==="float32"?e:Math.round(e)}isValidTruncated(e){return e<=this.upper&&e>=this.lower}},s3=class{constructor(e,t,n,a){this.alpha=e,this.beta=1/t,this.dtype=n;let r=a||Math.random();this.randu=Ov.alea(r.toString()),this.randn=new Lv(0,1,n,!1,this.randu()),e<1?this.d=e+2/3:this.d=e-1/3,this.c=1/Math.sqrt(9*this.d)}nextValue(){let e,t,n,a,r,s;for(;;){do a=this.randn.nextValue(),s=1+this.c*a;while(s<=0);if(s*=s*s,e=a*a,t=1-.331*e*e,n=.5*e+this.d*(1-s+Math.log(s)),r=this.randu(),rthis.dtype==null||this.dtype==="float32",this.min=e,this.range=t-e,this.dtype=n,a==null&&(a=Math.random()),typeof a=="number"&&(a=a.toString()),!this.canReturnFloat()&&this.range<=1)throw new Error(`The difference between ${e} - ${t} <= 1 and dtype is not float`);this.random=Ov.alea(a)}convertValue(e){return this.canReturnFloat()?e:Math.round(e)}nextValue(){return this.convertValue(this.min+this.range*this.random())}};function o3(e,t,n=1,a="float32",r){if(n==null&&(n=1),a==null&&(a="float32"),a!=="float32"&&a!=="int32")throw new Error(`Unsupported data type ${a}`);let s=new s3(t,n,a,r),i=Oe(e,a);for(let o=0;o`Error in reverse1D: x must be rank 1 but got rank ${t.rank}.`),ga(t,0)}var ST=L({reverse1d_:f3});function g3(e,t){let n=_(e,"x","reverse");return $(n.rank===2,()=>`Error in reverse2D: x must be rank 2 but got rank ${n.rank}.`),ga(n,t)}var TT=L({reverse2d_:g3});function b3(e,t){let n=_(e,"x","reverse");return $(n.rank===3,()=>`Error in reverse3D: x must be rank 3 but got rank ${n.rank}.`),ga(n,t)}var NT=L({reverse3d_:b3});function y3(e,t){let n=_(e,"x","reverse");return $(n.rank===4,()=>`Error in reverse4D: x must be rank 4 but got rank ${n.rank}.`),ga(n,t)}var CT=L({reverse4d_:y3});function x3(e){let t={x:_(e,"x","round")};return O.runKernel(to,t)}var of=L({round_:x3});function v3(e){let t={x:_(e,"x","rsqrt","float32")};return O.runKernel(no,t)}var lf=L({rsqrt_:v3});function w3(e){let t={x:_(e,"x","selu")};return O.runKernel(Iu,t)}var uf=L({selu_:w3});function k3(e,t,n,a,r,s=[1,1],i="NHWC"){let o=_(e,"x","separableConv2d"),l=_(t,"depthwiseFilter","separableConv2d"),u=_(n,"pointwiseFilter","separableConv2d"),p=o,d=!1;if(o.rank===3&&(d=!0,p=W(o,[1,o.shape[0],o.shape[1],o.shape[2]])),i==="NCHW")throw new Error("separableConv2d currently does not support dataFormat NCHW; only NHWC is supported");$(p.rank===4,()=>`Error in separableConv2d: input must be rank 4, but got rank ${p.rank}.`),$(l.rank===4,()=>`Error in separableConv2d: depthwise filter must be rank 4, but got rank ${l.rank}.`),$(u.rank===4,()=>`Error in separableConv2d: pointwise filter must be rank 4, but got rank ${l.rank}.`),$(u.shape[0]===1,()=>`Error in separableConv2d: the first dimension of pointwise filter must be 1, but got ${u.shape[0]}.`),$(u.shape[1]===1,()=>`Error in separableConv2d: the second dimension of pointwise filter must be 1, but got ${u.shape[1]}.`);let c=l.shape[2],h=l.shape[3];$(u.shape[2]===c*h,()=>`Error in separableConv2d: the third dimension of pointwise filter must be ${c*h}, but got ${u.shape[2]}.`);let m=Is(p,l,a,r,i,s),f=$t(m,u,1,"valid",i);return d?W(f,[f.shape[1],f.shape[2],f.shape[3]]):f}var Ts=L({separableConv2d_:k3});async function I3(e,t){let n=_(e,"x","setdiff1d"),a=_(t,"y","setdiff1d");$(n.dtype===a.dtype,()=>`x and y should have the same dtype, but got x (${n.dtype}) and y (${a.dtype}).`),$(n.rank===1,()=>`x should be 1D tensor, but got x (${n.shape}).`),$(a.rank===1,()=>`y should be 1D tensor, but got y (${a.shape}).`);let r=await n.data(),s=await a.data(),i=new Set(s),o=0;for(let p=0;p`slice1d expects a rank-1 tensor, but got a rank-${a.rank} tensor`),Be(a,[t],[n])}var Gc=L({slice1d_:C3});function _3(e,t,n){let a=_(e,"x","slice2d");return $(a.rank===2,()=>`slice2d expects a rank-2 tensor, but got a rank-${a.rank} tensor`),Be(a,t,n)}var df=L({slice2d_:_3});function E3(e,t,n){let a=_(e,"x","slice3d");return $(a.rank===3,()=>`slice3d expects a rank-3 tensor, but got a rank-${a.rank} tensor`),Be(a,t,n)}var fo=L({slice3d_:E3});function A3(e,t,n){let a=_(e,"x","slice4d");return $(a.rank===4,()=>`slice4d expects a rank-4 tensor, but got a rank-${a.rank} tensor`),Be(a,t,n)}var vl=L({slice4d_:A3});function $3(e,t=-1){let n=_(e,"logits","softmax","float32");if(t===-1&&(t=n.rank-1),t!==n.rank-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${n.rank} and dim was ${t}`);let a={logits:n},r={dim:t};return O.runKernel(oo,a,r)}var Ka=L({softmax_:$3});function F3(e){$(e.dtype==="complex64",()=>`The dtype for tf.spectral.fft() must be complex64 but got ${e.dtype}.`);let t={input:e};return O.runKernel(Sm,t)}var Hc=L({fft_:F3});function D3(e){$(e.dtype==="complex64",()=>`The dtype for tf.spectral.ifft() must be complex64 but got ${e.dtype}.`);let t={input:e};return O.runKernel(Tm,t)}var wl=L({ifft_:D3});function R3(e){let t=e.shape[e.shape.length-1],n=e.size/t,a;if(t<=2){let r=W(e,[n,t]);a=wl(r)}else{let r=[n,2*(t-1)],s=W(bl(e),[n,t]),i=W(Dc(e),[n,t]),o=ga(Be(s,[0,1],[n,t-2]),1),l=z(ga(Be(i,[0,1],[n,t-2]),1),ye(-1)),u=Ze([s,o],1),p=Ze([i,l],1),d=W(Ar(u,p),[r[0],r[1]]);a=wl(d)}if(a=bl(a),e.rank===3&&e.shape[0]!==0){let r=a,s=e.shape[0];a=W(a,[s,a.shape[0]/s,a.shape[1]]),r.dispose()}return a}var hf=L({irfft_:R3});function M3(e,t,n=0){let a={x:_(e,"x","split")},r={numOrSizeSplits:t,axis:n};return O.runKernel(Eu,a,r)}var zn=L({split_:M3});function P3(e,t){$(e.dtype==="float32",()=>`The dtype for rfft() must be real value but got ${e.dtype}`);let n=e.shape[e.shape.length-1],a=e.size/n,r;if(t!=null&&t0),f=e.shape.map(g=>g);f[e.shape.length-1]=t,r=Be(e,m,f),n=t}else if(t!=null&&t>n){let m=e.shape.map(f=>f);m[e.shape.length-1]=t-n,r=Ze([e,It(m)],e.shape.length-1),n=t}else r=e;let s=qe(r),i=W(Ar(r,s),[a,n]),o=Hc(i),l=Math.floor(n/2)+1,u=bl(o),p=Dc(o),d=zn(u,[l,n-l],u.shape.length-1),c=zn(p,[l,n-l],p.shape.length-1),h=r.shape.slice();return h[r.shape.length-1]=l,W(Ar(d[0],c[0]),h)}var jc=L({rfft_:P3});function O3(e,t){let n=_(e,"a","squaredDifference"),a=_(t,"b","squaredDifference");[n,a]=_t(n,a),ut(n.shape,a.shape);let r={a:n,b:a},s={};return O.runKernel(lo,r,s)}var mf=L({squaredDifference_:O3});function L3(e,t){let n=_(e,"x","squeeze","string_or_numeric");return W(n,UI(n.shape,t).newShape)}var Ns=L({squeeze_:L3});function z3(e,t=0){let n=Jp(e,"tensors","stack","string_or_numeric");$(n.length>=1,()=>"Pass at least one tensor to tf.stack"),n.length>0&&$(t<=n[0].rank,()=>"Axis must be <= rank of the tensor");let a=n,r={axis:t};return O.runKernel(yu,a,r)}var Ft=L({stack_:z3});function W3(e,t=0){let n={x:_(e,"x","step")},a={alpha:t};return O.runKernel(xs,n,a)}var go=L({step_:W3});function B3(e,t,n,a,r=0,s=0,i=0,o=0,l=0){let u={x:_(e,"x","stridedSlice","string_or_numeric")},p={begin:t,end:n,strides:a,beginMask:r,endMask:s,ellipsisMask:i,newAxisMask:o,shrinkAxisMask:l};return O.runKernel($u,u,p)}var Bv=L({stridedSlice_:B3});function V3(e){let t={x:_(e,"x","tan","float32")};return O.runKernel(po,t)}var Vv=L({tan_:V3});function Ke(e,t){mi(e);let n=lr(e,t);if(n.length!==1)throw new Error("tensor1d() requires values to be a flat/TypedArray");return vs(e,null,n,t)}function Aa(e,t,n){if(mi(e),t!=null&&t.length!==2)throw new Error("tensor2d() requires shape to have two numbers");let a=lr(e,n);if(a.length!==2&&a.length!==1)throw new Error("tensor2d() requires values to be number[][] or flat/TypedArray");if(a.length===1&&t==null)throw new Error("tensor2d() requires shape to be provided when `values` are a flat/TypedArray");return vs(e,t,a,n)}function Da(e,t,n){if(mi(e),t!=null&&t.length!==4)throw new Error("tensor4d() requires shape to have four numbers");let a=lr(e,n);if(a.length!==4&&a.length!==1)throw new Error("tensor4d() requires values to be number[][][][] or flat/TypedArray");if(a.length===1&&t==null)throw new Error("tensor4d() requires shape to be provided when `values` are a flat array");return vs(e,t,a,n)}function ET(e,t,n){if(mi(e),t!=null&&t.length!==5)throw new Error("tensor5d() requires shape to have five numbers");let a=lr(e,n);if(a.length!==5&&a.length!==1)throw new Error("tensor5d() requires values to be number[][][][][] or flat/TypedArray");if(a.length===1&&t==null)throw new Error("tensor5d() requires shape to be provided when `values` are a flat array");return vs(e,t,a,n)}function AT(e,t,n){if(mi(e),t!=null&&t.length!==6)throw new Error("tensor6d() requires shape to have six numbers");let a=lr(e,n);if(a.length!==6&&a.length!==1)throw new Error("tensor6d() requires values to be number[][][][][][] or flat/TypedArray");if(a.length===1&&t==null)throw new Error("tensor6d() requires shape to be provided when `values` are a flat array");return t=t||a,vs(e,t,a,n)}function U3(e,t=1,n=!0){let a=_(e,"x","topk");if(a.rank===0)throw new Error("topk() expects the input to be of rank 1 or higher");let r=a.shape[a.shape.length-1];if(t<0)throw new Error(`'k' passed to topk() must be >= 0 but got ${t}`);if(t>r)throw new Error(`'k' passed to topk() must be <= the last dimension (${r}) but got ${t}`);let s={x:a},i={k:t,sorted:n},[o,l]=O.runKernel(Fu,s,i);return{values:o,indices:l}}var Uv=L({topk_:U3});function G3(e,t=0,n=1,a,r){if(a!=null&&a==="bool")throw new Error("Unsupported data type $ { dtype }");let s=new Lv(t,n,a,!0,r),i=Oe(e,a);for(let o=0;o0,()=>"The input tensor must be at least 1D");let a={x:n},r={axis:t},[s,i]=O.runKernel(Bm,a,r);return{values:s,indices:i}}var Gv=L({unique_:H3});function j3(e,t,n){let a=_(e,"x","unsortedSegmentSum"),r=_(t,"segmentIds","unsortedSegmentSum","int32");$(hl(n),()=>"numSegments must be of dtype int");let s={x:a,segmentIds:r},i={numSegments:n};return O.runKernel(Cc,s,i)}var gf=L({unsortedSegmentSum_:j3});function q3(e,t=0){let n=_(e,"x","unstack","string_or_numeric");$(t>=-n.shape.length&&t`Axis = ${t} is not in [-${n.shape.length}, ${n.shape.length})`);let a={value:n},r={axis:t};return O.runKernel(Ru,a,r)}var ct=L({unstack_:q3});function $T(e,t){return af(e,t,"right")}function Hv(e,t=!0,n,a){return O.makeVariable(e,t,n,a)}function FT(e,t){let n=[];for(let s=0;s0,()=>"mask cannot be scalar"),Tn(o.slice(s,s+i),r.shape,"mask's shape must match the first K dimensions of tensor's shape,");let l=1;for(let f=s;f"Shape mismatch in v and x");let l=ye(1),u=pe(l,o),p=z(pe(i,s),u);if(r){$(a!=null,()=>"When using zeroDebias: true, step is required.");let d=_(a,"step","movingAverage");p=he(p,pe(l,$r(o,d)))}return Y(s,p)}var RT=L({movingAverage_:Y3});function Z3(e,t,n){let a=_(e,"indices","scatterND","int32"),r=_(t,"updates","scatterND");jx(r,a,n);let s={indices:a,updates:r},i={shape:n};return O.runKernel(wu,s,i)}var MT=L({scatterND_:Z3});function J3(e,t,n,a){if(e.dtype!=="int32")throw new Error(`tf.sparseToDense() expects the indices to be int32 type, but the dtype was ${e.dtype}.`);if(e.rank>2)throw new Error(`sparseIndices should be a scalar, vector, or matrix, but got shape ${e.shape}.`);let r=e.rank>0?e.shape[0]:1,s=e.rank>1?e.shape[1]:1;if(n.length!==s)throw new Error(`outputShape has incorrect number of elements:, ${n.length}, should be: ${s}.`);let i=t.size;if(!(t.rank===0||t.rank===1&&i===r))throw new Error(`sparseValues has incorrect shape ${t.shape}, should be [] or [${r}]`);if(t.dtype!==a.dtype)throw new Error("sparseValues.dtype must match defaultValues.dtype")}function Q3(e,t,n,a=0){let r=_(e,"sparseIndices","sparseToDense","int32"),s=_(t,"sparseValues","sparseToDense","string_or_numeric"),i=_(a,"defaultValue","sparseToDense",s.dtype);J3(r,s,n,i);let o={sparseIndices:r,sparseValues:s,defaultValue:i},l={outputShape:n};return O.runKernel(Wm,o,l)}var PT=L({sparseToDense_:Q3});function eL(e,t){let n=_(t,"indices","gatherND","int32"),a={params:_(e,"x","gatherND","string_or_numeric"),indices:n};return O.runKernel(eu,a)}var OT=L({gatherND_:eL});function tL(e,t){if(t==null)return e.shape.slice();if(fs(e.shape,t))return t;if(e.shape.length===t.length){let n=[];for(let a=0;a`x has to be a floating point tensor since it's going to be scaled, but got a ${r.dtype} tensor instead.`),$(t>=0&&t<1,()=>`rate must be a float in the range [0, 1), but got ${t}.`),t===0)return e instanceof Te?r.clone():r;let s=tL(r,n),i=1-t,o=he(Wu(Y(Uu(s,0,1,"float32",a),i)),i);return z(r,o)}var qv=L({dropout_:nL});function Kv(e){return Math.floor(Math.pow(2,Math.ceil(Math.log(e)/Math.log(2))))}function bf(e,t,n){let a=1-e%2,r=new Float32Array(e);for(let s=0;s1,()=>`inTopK() expects the predictions to be of rank 2 or higher, but got ${a.rank}`),$(a.rank-1===r.rank,()=>`predictions rank should be 1 larger than targets rank, but got predictions rank ${a.rank} and targets rank ${r.rank}`),Tn(a.shape.slice(0,a.shape.length-1),r.shape,"predictions's shape should be align with the targets' shape, except the last dimension.");let s=a.shape[a.shape.length-1];$(n>0&&n<=s,()=>`'k' passed to inTopK() must be > 0 && <= the predictions last dimension (${s}), but got ${n}`);let i=await a.data(),o=await r.data(),[l,u]=[i.length/s,s],p=GI("bool",l);for(let d=0;dg.value-f.value),p[d]=0;for(let f=0;fiL,depthwiseConv2d:()=>pL,matMul:()=>dL});function rL(e,t,n,a,r,s="NHWC",i){let o=e;e.rank===3&&(o=W(e,[1,e.shape[0],e.shape[1],e.shape[2]]));let l=t;l.rank===3&&(l=W(t,[1,t.shape[0],t.shape[1],t.shape[2]])),$(o.rank===4,()=>`Error in conv2dDerFilter: input must be rank 4, but got shape ${o.shape}.`),$(l.rank===4,()=>`Error in conv2dDerFilter: dy must be rank 4, but got shape ${l.shape}.`),$(n.length===4,()=>`Error in conv2dDerFilter: filterShape must be length 4, but got ${n}.`);let u=s==="NHWC"?o.shape[3]:o.shape[1],p=s==="NHWC"?l.shape[3]:l.shape[1];$(u===n[2],()=>`Error in conv2dDerFilter: depth of input ${u}) must match input depth in filter (${n[2]}.`),$(p===n[3],()=>`Error in conv2dDerFilter: depth of dy (${p}) must match output depth for filter (${n[3]}).`),Nn("conv2dDerFilter",r,i);let d={x:o,dy:l},c={strides:a,pad:r,dataFormat:s,dimRoundingMode:i,filterShape:n};return O.runKernel(fm,d,c)}var Xv=L({conv2DBackpropFilter_:rL});function yf(e,t,n){if(n==null||n==="linear")return e;if(n==="relu")return z(e,go(t));throw new Error(`Cannot compute gradient for fused activation ${n}.`)}function xf(e,t){let n=t,a=Wt(e.shape,t.shape);return a.length>0&&(n=fe(n,a)),W(n,e.shape)}function vf(e,t,n,a){if(t==="linear")return e;if(t==="relu")return Xe(e);if(t==="elu")return Lu(e);if(t==="relu6")return sf(e);if(t==="prelu")return Uc(e,n);if(t==="leakyrelu")return Lc(e,a);if(t==="sigmoid")return ha(e);throw new Error(`Unknown fused activation ${t}.`)}var wf=(e,t)=>!(e>0)||t==="linear";function sL({x:e,filter:t,strides:n,pad:a,dataFormat:r="NHWC",dilations:s=[1,1],dimRoundingMode:i,bias:o,activation:l="linear",preluActivationWeights:u,leakyreluAlpha:p}){if(l=l||"linear",wf(O.state.gradientDepth,l)===!1){$(r==="NHWC",()=>`Error in fused conv2d: got dataFormat of ${r} but only NHWC is currently supported for the case of gradient depth is 0 and the activation is not linear.`);let T=$t(e,t,n,a,r,s,i);return o!=null&&(T=Y(T,o)),vf(T,l,u,p)}let d=_(e,"x","conv2d","float32"),c=_(t,"filter","conv2d","float32"),h=d,m=!1;d.rank===3&&(m=!0,h=W(d,[1,d.shape[0],d.shape[1],d.shape[2]])),$(h.rank===4,()=>`Error in fused conv2d: input must be rank 4, but got rank ${h.rank}.`),$(c.rank===4,()=>`Error in fused conv2d: filter must be rank 4, but got rank ${c.rank}.`),Nn("fused conv2d",a,i);let f=r==="NHWC"?h.shape[3]:h.shape[1];$(c.shape[2]===f,()=>`Error in conv2d: depth of input (${f}) must match input depth for filter ${c.shape[2]}.`),$(cr(n,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${n} and dilations '${s}'`);let g=Mc(h.shape,c.shape,n,s,a,i),b;o!=null&&(b=_(o,"bias","fused conv2d"),[b]=_t(b,d),r==="NHWC"?ut(g.outShape,b.shape):($(b.shape.length<=1,()=>`Error in fused conv2d: only supports scalar or 1-D Tensor bias for NCHW format but got the bias of rank-${b.shape.length}.`),$(b.shape.length===0||b.shape[0]===g.outChannels||b.shape[0]===1,()=>`Error in fused conv2d: bias shape (${b.shape}) is not compatible with the number of output channels (${g.outChannels})`)));let y;if(u!=null){let T=u.shape;if($(T.length<=1||T.length===3,()=>`Error in fused conv2d: only supports scalar, 1-D Tensor or 3-D Tensor PReLU activation weights but got a tensor of rank-${T.length}.`),T.length===1)$(T[0]===1||T[0]===g.outChannels,()=>`Error in fused conv2d: PReLU activation weights (${T}) is not compatible with the number of output channels (${g.outChannels}).`);else if(T.length===3)try{ut(T,g.outShape)}catch(C){let E=`Error in fused conv2d: PReLU activation weights (${T}) is not compatible with the output shape of the conv2d (${g.outShape}).`;throw Error(E)}y=_(u,"prelu weights","fused conv2d")}let x=(T,C)=>{$(r==="NHWC",()=>`Error in gradient of fused conv2D: got dataFormat of ${r} but only NHWC is currently supported.`);let[E,A,R,F]=C,S=yf(T,R,l);$(os(s),()=>`Error in gradient of fused conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`);let M=mv(A.shape,S,E,n,a),B=Xv(A,S,E.shape,n,a),U=[M,B];if(F!=null){let G=xf(F,S);U.push(G)}return U},w={x:h,filter:c,bias:b,preluActivationWeights:y},I={strides:n,pad:a,dataFormat:r,dilations:s,dimRoundingMode:i,activation:l,leakyreluAlpha:p};return o==null?ur((T,C,E)=>{let A=O.runKernel(ei,w,I);return E([C,T,A]),m&&(A=W(A,[A.shape[1],A.shape[2],A.shape[3]])),{value:A,gradFunc:x}})(h,c):ur((T,C,E,A)=>{let R=O.runKernel(ei,w,I);return A([C,T,R,E]),m&&(R=W(R,[R.shape[1],R.shape[2],R.shape[3]])),{value:R,gradFunc:x}})(h,c,b)}var iL=L({fusedConv2d_:sL});function oL(e,t,n,a,r,s=[1,1],i){let o=e;e.rank===3&&(o=W(e,[1,e.shape[0],e.shape[1],e.shape[2]]));let l=t;l.rank===3&&(l=W(t,[1,t.shape[0],t.shape[1],t.shape[2]]));let u={x:o,dy:l},p={strides:a,pad:r,dimRoundingMode:i,dilations:s,filterShape:n};return O.runKernel(xm,u,p)}var zT=L({depthwiseConv2dNativeBackpropFilter_:oL});function lL(e,t,n,a,r,s=[1,1],i){let o=t,l=!1;t.rank===3&&(l=!0,o=W(t,[1,t.shape[0],t.shape[1],t.shape[2]]));let u={dy:o,filter:n},p={strides:a,pad:r,dimRoundingMode:i,dilations:s,inputShape:e},d=O.runKernel(vm,u,p);return l?W(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var WT=L({depthwiseConv2dNativeBackpropInput_:lL});function uL({x:e,filter:t,strides:n,pad:a,dataFormat:r="NHWC",dilations:s=[1,1],dimRoundingMode:i,bias:o,activation:l="linear",preluActivationWeights:u,leakyreluAlpha:p}){if(wf(O.state.gradientDepth,l)===!1){let I=Is(e,t,n,a,r,s,i);return o!=null&&(I=Y(I,o)),vf(I,l,u,p)}let d=_(e,"x","depthwiseConv2d","float32"),c=_(t,"filter","depthwiseConv2d","float32"),h=d,m=!1;d.rank===3&&(m=!0,h=W(d,[1,d.shape[0],d.shape[1],d.shape[2]])),$(h.rank===4,()=>`Error in fused depthwiseConv2d: input must be rank 4, but got rank ${h.rank}.`),$(c.rank===4,()=>`Error in fused depthwiseConv2d: filter must be rank 4, but got rank ${c.rank}.`),$(h.shape[3]===c.shape[2],()=>`Error in fused depthwiseConv2d: number of input channels (${h.shape[3]}) must match the inChannels dimension in filter ${c.shape[2]}.`),s==null&&(s=[1,1]),$(cr(n,s),()=>`Error in fused depthwiseConv2d: Either strides or dilations must be 1. Got strides ${n} and dilations '${s}'`),Nn("fused depthwiseConv2d",a,i);let f=Mc(h.shape,c.shape,n,s,a,i,!0),g;o!=null&&(g=_(o,"bias","fused conv2d"),[g]=_t(g,d),ut(f.outShape,g.shape));let b;u!=null&&(b=_(u,"prelu weights","fused depthwiseConv2d"));let y=(I,T)=>{$(os(s),()=>`Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '${s}'`);let[C,E,A,R]=T,F=yf(I,A,l),S=WT(E.shape,F,C,n,a,s,i),M=zT(E,F,C.shape,n,a,s,i);if(R!=null){let B=xf(g,F);return[S,M,B]}return[S,M]},x={x:h,filter:c,bias:g,preluActivationWeights:b},w={strides:n,pad:a,dataFormat:r,dilations:s,dimRoundingMode:i,activation:l,leakyreluAlpha:p};return o==null?ur((I,T,C)=>{let E=O.runKernel(ti,x,w);return C([T,I,E]),m&&(E=W(E,[E.shape[1],E.shape[2],E.shape[3]])),{value:E,gradFunc:y}})(h,c):ur((I,T,C,E)=>{let A=O.runKernel(ti,x,w);return E([T,I,A,C]),m&&(A=W(A,[A.shape[1],A.shape[2],A.shape[3]])),{value:A,gradFunc:y}})(h,c,g)}var pL=L({fusedDepthwiseConv2d_:uL});function cL({a:e,b:t,transposeA:n=!1,transposeB:a=!1,bias:r,activation:s="linear",preluActivationWeights:i,leakyreluAlpha:o=.2}){if(wf(O.state.gradientDepth,s)===!1){let R=Fe(e,t,n,a);return r!=null&&(R=Y(R,r)),vf(R,s,i,o)}let l=_(e,"a","fused matMul"),u=_(t,"b","fused matMul");[l,u]=_t(l,u);let p=n?l.shape[l.rank-2]:l.shape[l.rank-1],d=a?u.shape[u.rank-1]:u.shape[u.rank-2],c=n?l.shape[l.rank-1]:l.shape[l.rank-2],h=a?u.shape[u.rank-2]:u.shape[u.rank-1],m=l.shape.slice(0,-2),f=u.shape.slice(0,-2),g=mt(m),b=mt(f);$(p===d,()=>`Error in fused matMul: inner shapes (${p}) and (${d}) of Tensors with shapes ${l.shape} and ${u.shape} and transposeA=${n} and transposeB=${a} must match.`);let y=ut(l.shape.slice(0,-2),u.shape.slice(0,-2)).concat([c,h]),x=n?W(l,[g,p,c]):W(l,[g,c,p]),w=a?W(u,[b,h,d]):W(u,[b,d,h]),I;r!=null&&(I=_(r,"bias","fused matMul"),[I]=_t(I,l),ut(y,I.shape));let T;i!=null&&(T=_(i,"prelu weights","fused matMul"));let C=(R,F)=>{let[S,M,B,U]=F,G=yf(W(R,B.shape),B,s),q,K;if(!n&&!a?(q=Fe(G,M,!1,!0),K=Fe(S,G,!0,!1)):!n&&a?(q=Fe(G,M,!1,!1),K=Fe(G,S,!0,!1)):n&&!a?(q=Fe(M,G,!1,!0),K=Fe(S,G,!1,!1)):(q=Fe(M,G,!0,!0),K=Fe(G,S,!0,!0)),r!=null){let Z=xf(U,G);return[q,K,Z]}else return[q,K]},E={a:x,b:w,bias:I,preluActivationWeights:T},A={transposeA:n,transposeB:a,activation:s,leakyreluAlpha:o};return r==null?ur((R,F,S)=>{let M=O.runKernel(Qs,E,A);return S([R,F,M]),{value:W(M,y),gradFunc:C}})(x,w):ur((R,F,S,M)=>{let B=O.runKernel(Qs,E,A);return M([R,F,B,S]),{value:W(B,y),gradFunc:C}})(x,w,I)}var dL=L({fusedMatMul_:cL});function hL(e){return bf(e,.54,.46)}var mL=L({hammingWindow_:hL});function fL(e){return bf(e,.5,.5)}var BT=L({hannWindow_:fL});function gL(e,t,n,a=!1,r=0){let s=0,i=[];for(;s+t<=e.size;)i.push(Be(e,s,t)),s+=n;if(a)for(;s`Error in cropAndResize: image must be rank 4,but got rank ${i.rank}.`),$(o.rank===2&&o.shape[1]===4,()=>`Error in cropAndResize: boxes must be have size [${u},4] but had shape ${o.shape}.`),$(l.rank===1&&l.shape[0]===u,()=>`Error in cropAndResize: boxInd must be have size [${u}] but had shape ${o.shape}.`),$(a.length===2,()=>`Error in cropAndResize: cropSize must be of length 2, but got length ${a.length}.`),$(a[0]>=1&&a[1]>=1,()=>`cropSize must be atleast [1,1], but was ${a}`),$(r==="bilinear"||r==="nearest",()=>`method must be bilinear or nearest, but was ${r}`);let p={image:i,boxes:o,boxInd:l},d={method:r,extrapolationValue:s,cropSize:a};return O.runKernel(jl,p,d)}var vL=L({cropAndResize_:xL});function wL(e){let t=_(e,"image","flipLeftRight","float32");$(t.rank===4,()=>`Error in flipLeftRight: image must be rank 4,but got rank ${t.rank}.`);let n={image:t};return O.runKernel(Jl,n,{})}var kL=L({flipLeftRight_:wL});function IL(e){let t=_(e,"image","grayscaleToRGB"),n=t.rank-1,a=t.shape[n];$(t.rank>=2,()=>`Error in grayscaleToRGB: images must be at least rank 2, but got rank ${t.rank}.`),$(a===1,()=>`Error in grayscaleToRGB: last dimension of a grayscale image should be size 1, but got size ${a}.`);let r=new Array(t.rank);return r.fill(1,0,n),r[n]=3,Ln(t,r)}var SL=L({grayscaleToRGB_:IL});function TL(e,t,n=0,a=.5){let r=_(e,"image","rotateWithOffset","float32");$(r.rank===4,()=>`Error in rotateWithOffset: image must be rank 4,but got rank ${r.rank}.`);let s={image:r},i={radians:t,fillValue:n,center:a};return O.runKernel(Pu,s,i)}var NL=L({rotateWithOffset_:TL});function Gu(e,t,n,a,r,s){a==null&&(a=.5),r==null&&(r=Number.NEGATIVE_INFINITY),s==null&&(s=0);let i=e.shape[0];return n=Math.min(n,i),$(0<=a&&a<=1,()=>`iouThreshold must be in [0, 1], but was '${a}'`),$(e.rank===2,()=>`boxes must be a 2D tensor, but was of rank '${e.rank}'`),$(e.shape[1]===4,()=>`boxes must have 4 columns, but 2nd dimension was ${e.shape[1]}`),$(t.rank===1,()=>"scores must be a 1D tensor"),$(t.shape[0]===i,()=>`scores has incompatible shape with boxes. Expected ${i}, but was ${t.shape[0]}`),$(0<=s&&s<=1,()=>`softNmsSigma must be in [0, 1], but was '${s}'`),{maxOutputSize:n,iouThreshold:a,scoreThreshold:r,softNmsSigma:s}}function CL(e,t,n,a=.5,r=Number.NEGATIVE_INFINITY){let s=_(e,"boxes","nonMaxSuppression","float32"),i=_(t,"scores","nonMaxSuppression","float32"),o=Gu(s,i,n,a,r);n=o.maxOutputSize,a=o.iouThreshold,r=o.scoreThreshold;let l={maxOutputSize:n,iouThreshold:a,scoreThreshold:r};return O.runKernel(mu,{boxes:s,scores:i},l)}var _L=L({nonMaxSuppression_:CL});function EL(e,t,n){let a=AL(e,t,n),r=a<0?-(a+1):a;e.splice(r,0,t)}function AL(e,t,n){return FL(e,t,n||$L)}function $L(e,t){return e>t?1:e>>1);let o=n(t,e[s]);o>0?a=s+1:(r=s,i=!o)}return i?a:-a-1}function UT(e,t,n,a,r){return Yv(e,t,n,a,r,0)}function GT(e,t,n,a,r,s){return Yv(e,t,n,a,r,0,!1,s,!0)}function HT(e,t,n,a,r,s){return Yv(e,t,n,a,r,s,!0)}function Yv(e,t,n,a,r,s,i=!1,o=!1,l=!1){let u=[];for(let g=0;gr&&u.push({score:t[g],boxIndex:g,suppressBeginIndex:0});u.sort(yk);let p=s>0?-.5/s:0,d=[],c=[];for(;d.length0;){let g=u.pop(),{score:b,boxIndex:y,suppressBeginIndex:x}=g;if(b=x;--I){let T=DL(e,y,d[I]);if(T>=a){w=!0;break}if(g.score=g.score*RL(a,p,T),g.score<=r)break}g.suppressBeginIndex=d.length,w||(g.score===b?(d.push(y),c.push(g.score)):g.score>r&&EL(u,g,yk))}let h=d.length,m=n-h;o&&m>0&&(d.push(...new Array(m).fill(0)),c.push(...new Array(m).fill(0)));let f={selectedIndices:d};return i&&(f.selectedScores=c),l&&(f.validOutputs=h),f}function DL(e,t,n){let a=e.subarray(t*4,t*4+4),r=e.subarray(n*4,n*4+4),s=Math.min(a[0],a[2]),i=Math.min(a[1],a[3]),o=Math.max(a[0],a[2]),l=Math.max(a[1],a[3]),u=Math.min(r[0],r[2]),p=Math.min(r[1],r[3]),d=Math.max(r[0],r[2]),c=Math.max(r[1],r[3]),h=(o-s)*(l-i),m=(d-u)*(c-p);if(h<=0||m<=0)return 0;let f=Math.max(s,u),g=Math.max(i,p),b=Math.min(o,d),y=Math.min(l,c),x=Math.max(b-f,0)*Math.max(y-g,0);return x/(h+m-x)}function RL(e,t,n){let a=Math.exp(t*n*n);return n<=e?a:0}function yk(e,t){return e.score-t.score||e.score===t.score&&t.boxIndex-e.boxIndex}async function ML(e,t,n,a=.5,r=Number.NEGATIVE_INFINITY){let s=_(e,"boxes","nonMaxSuppressionAsync"),i=_(t,"scores","nonMaxSuppressionAsync"),o=Gu(s,i,n,a,r);n=o.maxOutputSize,a=o.iouThreshold,r=o.scoreThreshold;let l=await Promise.all([s.data(),i.data()]),u=l[0],p=l[1],{selectedIndices:d}=UT(u,p,n,a,r);return s!==e&&s.dispose(),i!==t&&i.dispose(),Ke(d,"int32")}var PL=ML;function OL(e,t,n,a=.5,r=Number.NEGATIVE_INFINITY,s=0){let i=_(e,"boxes","nonMaxSuppression"),o=_(t,"scores","nonMaxSuppression"),l=Gu(i,o,n,a,r,s);n=l.maxOutputSize,a=l.iouThreshold,r=l.scoreThreshold,s=l.softNmsSigma;let u={boxes:i,scores:o},p={maxOutputSize:n,iouThreshold:a,scoreThreshold:r,softNmsSigma:s},d=O.runKernel(gu,u,p);return{selectedIndices:d[0],selectedScores:d[1]}}var LL=L({nonMaxSuppressionWithScore_:OL});async function zL(e,t,n,a=.5,r=Number.NEGATIVE_INFINITY,s=0){let i=_(e,"boxes","nonMaxSuppressionAsync"),o=_(t,"scores","nonMaxSuppressionAsync"),l=Gu(i,o,n,a,r,s);n=l.maxOutputSize,a=l.iouThreshold,r=l.scoreThreshold,s=l.softNmsSigma;let u=await Promise.all([i.data(),o.data()]),p=u[0],d=u[1],{selectedIndices:c,selectedScores:h}=HT(p,d,n,a,r,s);return i!==e&&i.dispose(),o!==t&&o.dispose(),{selectedIndices:Ke(c,"int32"),selectedScores:Ke(h)}}var WL=zL;function BL(e,t,n,a=.5,r=Number.NEGATIVE_INFINITY,s=!1){let i=_(e,"boxes","nonMaxSuppression"),o=_(t,"scores","nonMaxSuppression"),l=Gu(i,o,n,a,r,null),u=l.maxOutputSize,p=l.iouThreshold,d=l.scoreThreshold,c={boxes:i,scores:o},h={maxOutputSize:u,iouThreshold:p,scoreThreshold:d,padToMaxOutputSize:s},m=O.runKernel(fu,c,h);return{selectedIndices:m[0],validOutputs:m[1]}}var VL=L({nonMaxSuppressionPadded_:BL});async function UL(e,t,n,a=.5,r=Number.NEGATIVE_INFINITY,s=!1){let i=_(e,"boxes","nonMaxSuppressionAsync"),o=_(t,"scores","nonMaxSuppressionAsync"),l=Gu(i,o,n,a,r,null),u=l.maxOutputSize,p=l.iouThreshold,d=l.scoreThreshold,[c,h]=await Promise.all([i.data(),o.data()]),{selectedIndices:m,validOutputs:f}=GT(c,h,u,p,d,s);return i!==e&&i.dispose(),o!==t&&o.dispose(),{selectedIndices:Ke(m,"int32"),validOutputs:ye(f,"int32")}}var GL=UL;function HL(e,t,n=!1,a=!1){let r=_(e,"images","resizeBilinear");$(r.rank===3||r.rank===4,()=>`Error in resizeBilinear: x must be rank 3 or 4, but got rank ${r.rank}.`),$(t.length===2,()=>`Error in resizeBilinear: new shape must 2D, but got shape ${t}.`),$(a===!1||n===!1,()=>"Error in resizeBilinear: If halfPixelCenters is true, alignCorners must be false.");let s=r,i=!1;r.rank===3&&(i=!0,s=W(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let[]=t,o={images:s},l={alignCorners:n,halfPixelCenters:a,size:t},u=O.runKernel(Ji,o,l);return i?W(u,[u.shape[1],u.shape[2],u.shape[3]]):u}var jT=L({resizeBilinear_:HL});function jL(e,t,n=!1,a=!1){let r=_(e,"images","resizeNearestNeighbor");$(r.rank===3||r.rank===4,()=>`Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank ${r.rank}.`),$(t.length===2,()=>`Error in resizeNearestNeighbor: new shape must 2D, but got shape ${t}.`),$(r.dtype==="float32"||r.dtype==="int32",()=>"`images` must have `int32` or `float32` as dtype"),$(a===!1||n===!1,()=>"Error in resizeNearestNeighbor: If halfPixelCenters is true, alignCorners must be false.");let s=r,i=!1;r.rank===3&&(i=!0,s=W(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let[]=t,o={images:s},l={alignCorners:n,halfPixelCenters:a,size:t},u=O.runKernel(Zi,o,l);return i?W(u,[u.shape[1],u.shape[2],u.shape[3]]):u}var qT=L({resizeNearestNeighbor_:jL});function qL(e,t="binary",n=!1,a=.5){let r=_(e,"image","threshold"),s=.2989,i=.587,o=.114,l=r.shape[0]*r.shape[1],u=z(Ke([a]),255),p,d,c,h;if($(r.rank===3,()=>`Error in threshold: image must be rank 3,but got rank ${r.rank}.`),$(r.shape[2]===3||r.shape[2]===1,()=>`Error in threshold: image color channel must be equal to 3 or 1but got ${r.shape[2]}.`),$(r.dtype==="int32"||r.dtype==="float32",()=>`Error in dtype: image dtype must be int32 or float32,but got dtype ${r.dtype}.`),$(t==="otsu"||t==="binary",()=>`Method must be binary or otsu, but was ${t}`),r.shape[2]===3){[p,d,c]=zn(r,[1,1,1],-1);let f=z(p,s),g=z(d,i),b=z(c,o);h=Y(Y(f,g),b)}else h=e;if(t==="otsu"){let f=lv(oe(of(h),"int32"),In([]),256);u=KL(f,l)}let m=n?Ss(h,u):Cn(h,u);return oe(z(m,255),"int32")}function KL(e,t){let n=Ke([-1]),a=Ke([0]),r=Ke([0]),s,i,o,l,u,p;for(let d=0;d`Error in transform: image must be rank 4,but got rank ${i.rank}.`),$(o.rank===2&&(o.shape[0]===i.shape[0]||o.shape[0]===1)&&o.shape[1]===8,()=>"Error in transform: Input transform should be batch x 8 or 1 x 8"),$(s==null||s.length===2,()=>`Error in transform: outputShape must be [height, width] or null, but got ${s}.`);let l={image:i,transforms:o},u={interpolation:n,fillMode:a,fillValue:r,outputShape:s};return O.runKernel(Du,l,u)}var ZL=L({transform_:YL});function JL(e,t,n){$(t%1===0,()=>`bandPart(): numLower must be an integer, got ${t}.`),$(n%1===0,()=>`bandPart(): numUpper must be an integer, got ${n}.`);let a=_(e,"a","bandPart");$(a.rank>=2,()=>`bandPart(): Rank must be at least 2, got ${a.rank}.`);let r=a.shape,[s,i]=a.shape.slice(-2);if(!(t<=s))throw new Error(`bandPart(): numLower (${t}) must not be greater than the number of rows (${s}).`);if(!(n<=i))throw new Error(`bandPart(): numUpper (${n}) must not be greater than the number of columns (${i}).`);t<0&&(t=s),n<0&&(n=i);let o=W(xl(0,s,1,"int32"),[-1,1]),l=xl(0,i,1,"int32"),u=pe(o,l),p=$a(Ss(u,ye(+t,"int32")),Fr(u,ye(-n,"int32"))),d=It([s,i],a.dtype);return W(Ft(ct(W(a,[-1,s,i])).map(c=>mn(p,c,d))),r)}var QL=L({bandPart_:JL});function ez(e){let t;if(Array.isArray(e)){t=!1,$(e!=null&&e.length>0,()=>"Gram-Schmidt process: input must not be null, undefined, or empty");let r=e[0].shape[0];for(let s=1;s`Gram-Schmidt: Non-unique lengths found in the input vectors: (${e[s].shape[0]} vs. ${r})`)}else t=!0,e=zn(e,e.shape[0],0).map(r=>Ns(r,[0]));$(e.length<=e[0].shape[0],()=>`Gram-Schmidt: Number of vectors (${e.length}) exceeds number of dimensions (${e[0].shape[0]}).`);let n=[],a=e;for(let r=0;r{let s=a[r];if(r>0)for(let i=0;i=2,()=>`qr() requires input tensor to have a rank >= 2, but got rank ${e.rank}`),e.rank===2)return xk(e,t);{let n=e.shape.slice(0,e.shape.length-2).reduce((l,u)=>l*u),a=ct(W(e,[n,e.shape[e.shape.length-2],e.shape[e.shape.length-1]]),0),r=[],s=[];a.forEach(l=>{let[u,p]=xk(l,t);r.push(u),s.push(p)});let i=W(Ft(r,0),e.shape),o=W(Ft(s,0),e.shape);return[i,o]}}function xk(e,t=!1){return O.tidy(()=>{$(e.shape.length===2,()=>`qr2d() requires a 2D Tensor, but got a ${e.shape.length}D Tensor.`);let n=e.shape[0],a=e.shape[1],r=Zm(n),s=ir(e),i=Aa([[1]],[1,1]),o=ir(i),l=n>=a?a:n;for(let u=0;u{let h=Be(s,[u,u],[n-u,1]),m=zu(h),f=Be(s,[u,u],[1,1]),g=mn(Cn(f,0),Aa([[-1]]),Aa([[1]])),b=pe(f,z(g,m)),y=he(h,b);y.shape[0]===1?o=ir(i):o=Ze([i,Be(y,[1,0],[y.shape[0]-1,y.shape[1]])],0);let x=vt(he(Fe(g,b),m)),w=Be(s,[u,0],[n-u,a]),I=z(x,o),T=Ee(o);if(u===0)s=pe(w,Fe(I,Fe(T,w)));else{let A=pe(w,Fe(I,Fe(T,w)));s=Ze([Be(s,[0,0],[u,a]),A],0)}let C=Ee(I),E=Be(r,[0,u],[n,r.shape[1]-u]);if(u===0)r=pe(E,Fe(Fe(E,o),C));else{let A=pe(E,Fe(Fe(E,o),C));r=Ze([Be(r,[0,0],[n,u]),A],1)}return[o,s,r]}),_e([p,d,c])}return!t&&n>a&&(r=Be(r,[0,0],[n,a]),s=Be(s,[0,0],[a,a])),[r,s]})}var az=L({qr_:nz}),vn;(function(e){e[e.NONE=0]="NONE",e[e.MEAN=1]="MEAN",e[e.SUM=2]="SUM",e[e.SUM_BY_NONZERO_WEIGHTS=3]="SUM_BY_NONZERO_WEIGHTS"})(vn||(vn={}));function rz(e,t,n=vn.SUM_BY_NONZERO_WEIGHTS){let a=_(e,"losses","computeWeightedLoss"),r=null;t!=null&&(r=_(t,"weights","computeWeightedLoss"));let s=r==null?a:z(a,r);if(n===vn.NONE)return s;if(n===vn.SUM)return fe(s);if(n===vn.MEAN){if(r==null)return Nt(s);{let i=a.size/r.size,o=he(fe(s),fe(r));return i>1?he(o,ye(i)):o}}if(n===vn.SUM_BY_NONZERO_WEIGHTS){if(r==null)return he(fe(s),ye(a.size));{let i=z(r,Jn(a.shape)),o=oe(fe(oi(i,ye(0))),"float32");return he(fe(s),o)}}throw Error(`Unknown reduction: ${n}`)}var Dr=L({computeWeightedLoss_:rz});function sz(e,t,n,a=vn.SUM_BY_NONZERO_WEIGHTS){let r=_(e,"labels","absoluteDifference"),s=_(t,"predictions","absoluteDifference"),i=null;n!=null&&(i=_(n,"weights","absoluteDifference")),Tn(r.shape,s.shape,"Error in absoluteDifference: ");let o=Lt(pe(r,s));return Dr(o,i,a)}var iz=L({absoluteDifference_:sz});function oz(e,t,n,a,r=vn.SUM_BY_NONZERO_WEIGHTS){let s=_(e,"labels","cosineDistance"),i=_(t,"predictions","cosineDistance"),o=null;a!=null&&(o=_(a,"weights","cosineDistance")),Tn(s.shape,i.shape,"Error in cosineDistance: ");let l=ye(1),u=pe(l,fe(z(s,i),n,!0));return Dr(u,o,r)}var lz=L({cosineDistance_:oz});function uz(e,t,n,a=vn.SUM_BY_NONZERO_WEIGHTS){let r=_(e,"labels","hingeLoss"),s=_(t,"predictions","hingeLoss"),i=null;n!=null&&(i=_(n,"weights","hingeLoss")),Tn(r.shape,s.shape,"Error in hingeLoss: ");let o=ye(1);r=pe(z(ye(2),r),o);let l=Xe(pe(o,z(r,s)));return Dr(l,i,a)}var pz=L({hingeLoss_:uz});function cz(e,t,n,a=1,r=vn.SUM_BY_NONZERO_WEIGHTS){let s=_(e,"labels","huberLoss"),i=_(t,"predictions","huberLoss"),o=null;n!=null&&(o=_(n,"weights","huberLoss")),Tn(s.shape,i.shape,"Error in huberLoss: ");let l=ye(a),u=Lt(pe(i,s)),p=Vu(u,l),d=pe(u,p),c=Y(z(ye(.5),lt(p)),z(l,d));return Dr(c,o,r)}var dz=L({huberLoss_:cz});function hz(e,t,n,a=1e-7,r=vn.SUM_BY_NONZERO_WEIGHTS){let s=_(e,"labels","logLoss"),i=_(t,"predictions","logLoss"),o=null;n!=null&&(o=_(n,"weights","logLoss")),Tn(s.shape,i.shape,"Error in logLoss: ");let l=ye(1),u=ye(a),p=vt(z(s,ta(Y(i,u)))),d=z(pe(l,s),ta(Y(pe(l,i),u))),c=pe(p,d);return Dr(c,o,r)}var mz=L({logLoss_:hz});function fz(e,t,n,a=vn.SUM_BY_NONZERO_WEIGHTS){let r=_(e,"labels","meanSquaredError"),s=_(t,"predictions","meanSquaredError"),i=null;n!=null&&(i=_(n,"weights","meanSquaredError")),Tn(r.shape,s.shape,"Error in meanSquaredError: ");let o=mf(r,s);return Dr(o,i,a)}var gz=L({meanSquaredError_:fz});function bz(e,t){let n=_(e,"labels","sigmoidCrossEntropyWithLogits"),a=_(t,"logits","sigmoidCrossEntropyWithLogits");Tn(n.shape,a.shape,"Error in sigmoidCrossEntropyWithLogits: ");let r=Xe(a),s=z(a,n),i=zc(fn(vt(Lt(a))));return Y(pe(r,s),i)}function yz(e,t,n,a=0,r=vn.SUM_BY_NONZERO_WEIGHTS){let s=_(e,"multiClassLabels","sigmoidCrossEntropy"),i=_(t,"logits","sigmoidCrossEntropy"),o=null;if(n!=null&&(o=_(n,"weights","sigmoidCrossEntropy")),Tn(s.shape,i.shape,"Error in sigmoidCrossEntropy: "),a>0){let u=ye(a),p=ye(1),d=ye(.5);s=Y(z(s,pe(p,u)),z(d,u))}let l=bz(s,i);return Dr(l,o,r)}var xz=L({sigmoidCrossEntropy_:yz});function vz(e,t,n=-1){if(n===-1&&(n=t.rank-1),n!==t.rank-1)throw Error(`Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank ${t.rank} and dim was ${n}`);return ur((a,r,s)=>{let i=tf(r,[n],!0),o=pe(oe(r,"float32"),i);s([a,o]);let l=vt(z(o,a));return{value:fe(l,[n]),gradFunc:(u,p)=>{let[d,c]=p,h=ii(u.shape,[n]);return[z(W(u,h),pe(oe(d,"float32"),fn(c))),z(W(u,h),pe(fn(c),oe(d,"float32")))]}}})(e,t)}function wz(e,t,n,a=0,r=vn.SUM_BY_NONZERO_WEIGHTS){let s=_(e,"onehotLabels","softmaxCrossEntropy"),i=_(t,"logits","softmaxCrossEntropy"),o=null;if(n!=null&&(o=_(n,"weights","softmaxCrossEntropy")),Tn(s.shape,i.shape,"Error in softmaxCrossEntropy: "),a>0){let u=ye(a),p=ye(1),d=ye(s.shape[1]);s=Y(z(s,pe(p,u)),he(u,d))}let l=vz(s,i);return Dr(l,o,r)}var kz=L({softmaxCrossEntropy_:wz});function Iz(e,t,n,a){let r=_(e,"indices","sparseFillEmptyRows","int32"),s=_(t,"values","sparseFillEmptyRows"),i=_(n,"denseShape","sparseFillEmptyRows","int32"),o=_(a,"defaultValue","sparseFillEmptyRows",s.dtype);if(r.rank!==2)throw new Error(`Indices should be Tensor2D but received shape + ${r.shape}`);if(s.rank!==1)throw new Error(`Values should be Tensor1D but received shape ${s.shape}`);if(i.rank!==1)throw new Error(`Dense shape should be Tensor1D but received shape ${i.shape}`);if(o.rank!==0)throw new Error(`Default value should be a scalar but received shape ${o.shape}`);let l={indices:r,values:s,denseShape:i,defaultValue:o},u=O.runKernel(vc,l);return{outputIndices:u[0],outputValues:u[1],emptyRowIndicator:u[2],reverseIndexMap:u[3]}}var Sz=L({sparseFillEmptyRows_:Iz});function Tz(e,t,n){let a=_(e,"inputIndices","sparseReshape","int32"),r=_(t,"inputShape","sparseReshape","int32"),s=_(n,"newShape","sparseReshape","int32");if(a.rank!==2)throw new Error(`Input indices should be Tensor2D but received shape + ${a.shape}`);if(r.rank!==1)throw new Error(`Input shape should be Tensor1D but received shape ${r.shape}`);if(s.rank!==1)throw new Error(`New shape should be Tensor1D but received shape ${s.shape}`);let i={inputIndices:a,inputShape:r,newShape:s},o=O.runKernel(Au,i);return{outputIndices:o[0],outputShape:o[1]}}var Nz=L({sparseReshape_:Tz});function Cz(e,t,n){let a=_(e,"data","sparseSegmentMean"),r=_(t,"indices","sparseSegmentMean","int32"),s=_(n,"segmentIds","sparseSegmentMean","int32");if(a.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.rank!==1)throw new Error(`Indices should be Tensor1D but received shape ${r.shape}`);if(s.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape - ${s.shape}`);let i={data:a,indices:r,segmentIds:s};return O.runKernel(xc,i)}var xz=L({sparseSegmentMean_:yz});function vz(e,t,n){let a=_(e,"data","sparseSegmentSum"),r=_(t,"indices","sparseSegmentSum","int32"),s=_(n,"segmentIds","sparseSegmentSum","int32");if(a.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.rank!==1)throw new Error(`Indices should be Tensor1D but received shape + ${s.shape}`);let i={data:a,indices:r,segmentIds:s};return O.runKernel(wc,i)}var _z=L({sparseSegmentMean_:Cz});function Ez(e,t,n){let a=_(e,"data","sparseSegmentSum"),r=_(t,"indices","sparseSegmentSum","int32"),s=_(n,"segmentIds","sparseSegmentSum","int32");if(a.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.rank!==1)throw new Error(`Indices should be Tensor1D but received shape ${r.shape}`);if(s.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape - ${s.shape}`);let i={data:a,indices:r,segmentIds:s};return O.runKernel(vc,i)}var wz=L({sparseSegmentSum_:vz});function kz(e,t,n,a,r,s,i,o){let l=_(e,"data","stringNGrams","string");if(l.dtype!=="string")throw new Error("Data must be of datatype string");if(l.shape.length!==1)throw new Error(`Data must be a vector, saw: ${l.shape}`);let u=_(t,"dataSplits","stringNGrams");if(u.dtype!=="int32")throw new Error("Data splits must be of datatype int32");let p={separator:n,nGramWidths:a,leftPad:r,rightPad:s,padWidth:i,preserveShortSequences:o},d={data:l,dataSplits:u},c=O.runKernel(kc,d,p);return{nGrams:c[0],nGramsSplits:c[1]}}var Iz=L({stringNGrams_:kz});function Sz(e,t,n=!0){let a=_(e,"input","stringSplit","string"),r=_(t,"delimiter","stringSplit","string");if(a.rank!==1)throw new Error(`Input should be Tensor1D but received shape ${a.shape}`);if(r.rank!==0)throw new Error(`Delimiter should be a scalar but received shape ${r.shape}`);let s={skipEmpty:n},i={input:a,delimiter:r},o=O.runKernel(Ic,i,s);return{indices:o[0],values:o[1],shape:o[2]}}var Tz=L({stringSplit_:Sz});function Nz(e,t){let n=_(e,"input","stringToHashBucketFast","string"),a={numBuckets:t};if(t<=0)throw new Error("Number of buckets must be at least 1");let r={input:n};return O.runKernel(Sc,r,a)}var Cz=L({stringToHashBucketFast_:Nz}),WT={fft:Uc,ifft:xl,rfft:Gc,irfft:cf},VT={hammingWindow:sL,hannWindow:RT,frame:MT,stft:uL},Nr={flipLeftRight:hL,grayscaleToRGB:fL,resizeNearestNeighbor:BT,resizeBilinear:zT,rotateWithOffset:bL,cropAndResize:cL,nonMaxSuppression:xL,nonMaxSuppressionAsync:CL,nonMaxSuppressionWithScore:EL,nonMaxSuppressionWithScoreAsync:$L,nonMaxSuppressionPadded:DL,nonMaxSuppressionPaddedAsync:ML,threshold:BL,transform:VL},Xv={bandPart:GL,gramSchmidt:jL,qr:KL},UT={absoluteDifference:ZL,computeWeightedLoss:Fr,cosineDistance:QL,hingeLoss:tz,huberLoss:az,logLoss:sz,meanSquaredError:oz,sigmoidCrossEntropy:pz,softmaxCrossEntropy:hz},GT={sparseFillEmptyRows:fz,sparseReshape:bz,sparseSegmentMean:xz,sparseSegmentSum:wz},HT={stringNGrams:Iz,stringSplit:Tz,stringToHashBucketFast:Cz},Dr=class extends PS{minimize(e,t=!1,n){let{value:a,grads:r}=this.computeGradients(e,n);if(n!=null){let s=n.map(i=>({name:i.name,tensor:r[i.name]}));this.applyGradients(s)}else this.applyGradients(r);return $e(r),t?a:(a.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(e,t){return tT(e,t)}dispose(){this.iterations_!=null&&$e(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:"iter",tensor:ye(this.iterations_,"int32")}}async getWeights(){throw new Error("getWeights() is not implemented for this optimizer yet.")}async setWeights(e){throw new Error(`setWeights() is not implemented for this optimizer class ${this.getClassName()}`)}async extractIterations(e){return this.iterations_=(await e[0].tensor.data())[0],e.slice(1)}};Object.defineProperty(Dr,Symbol.hasInstance,{value:e=>e.minimize!=null&&e.computeGradients!=null&&e.applyGradients!=null});var vf=class extends Dr{constructor(e,t,n=null){super(),this.learningRate=e,this.rho=t,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],n==null&&(this.epsilon=O.backend.epsilon())}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=O.registeredVariables[t],r=!1;this.accumulatedGrads[n]==null&&(this.accumulatedGrads[n]={originalName:`${t}/accum_grad`,variable:P(()=>je(a).variable(r))}),this.accumulatedUpdates[n]==null&&(this.accumulatedUpdates[n]={originalName:`${t}/accum_var`,variable:P(()=>je(a).variable(r))});let s=Array.isArray(e)?e[n].tensor:e[t];if(s==null)return;let i=this.accumulatedGrads[n].variable,o=this.accumulatedUpdates[n].variable;P(()=>{let l=Y(z(i,this.rho),z(lt(s),1-this.rho)),u=z(he(ln(Y(o,this.epsilon)),ln(Y(i,this.epsilon))),s),p=Y(z(o,this.rho),z(lt(u),1-this.rho));i.assign(l),o.assign(p);let d=Y(z(u,-this.learningRate),a);a.assign(d)})}),this.incrementIterations()}dispose(){this.accumulatedUpdates!=null&&($e(this.accumulatedGrads.map(e=>e.variable)),$e(this.accumulatedUpdates.map(e=>e.variable)))}async getWeights(){let e=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=e.length/2,n=!1;this.accumulatedGrads=e.slice(0,t).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})),this.accumulatedUpdates=e.slice(t,t*2).map(a=>({originalName:a.name,variable:a.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.rho,t.epsilon)}};vf.className="Adadelta";vs(vf);var wf=class extends Dr{constructor(e,t=.1){super(),this.learningRate=e,this.initialAccumulatorValue=t,this.accumulatedGrads=[]}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=O.registeredVariables[t];this.accumulatedGrads[n]==null&&(this.accumulatedGrads[n]={originalName:`${t}/accumulator`,variable:P(()=>gn(a.shape,this.initialAccumulatorValue).variable(!1))});let r=Array.isArray(e)?e[n].tensor:e[t];if(r==null)return;let s=this.accumulatedGrads[n].variable;P(()=>{let i=Y(s,lt(r));s.assign(i);let o=Y(z(he(r,ln(Y(i,O.backend.epsilon()))),-this.learningRate),a);a.assign(o)})}),this.incrementIterations()}dispose(){this.accumulatedGrads!=null&&$e(this.accumulatedGrads.map(e=>e.variable))}async getWeights(){return[await this.saveIterations()].concat(this.accumulatedGrads.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=!1;this.accumulatedGrads=e.map(n=>({originalName:n.name,variable:n.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}static fromConfig(e,t){return new e(t.learningRate,t.initialAccumulatorValue)}};wf.className="Adagrad";vs(wf);var kf=class extends Dr{constructor(e,t,n,a=null){super(),this.learningRate=e,this.beta1=t,this.beta2=n,this.epsilon=a,this.accumulatedFirstMoment=[],this.accumulatedSecondMoment=[],P(()=>{this.accBeta1=ye(t).variable(),this.accBeta2=ye(n).variable()}),a==null&&(this.epsilon=O.backend.epsilon())}applyGradients(e){let t=Array.isArray(e)?e.map(n=>n.name):Object.keys(e);P(()=>{let n=pe(1,this.accBeta1),a=pe(1,this.accBeta2);t.forEach((r,s)=>{let i=O.registeredVariables[r],o=!1;this.accumulatedFirstMoment[s]==null&&(this.accumulatedFirstMoment[s]={originalName:`${r}/m`,variable:P(()=>je(i).variable(o))}),this.accumulatedSecondMoment[s]==null&&(this.accumulatedSecondMoment[s]={originalName:`${r}/v`,variable:P(()=>je(i).variable(o))});let l=Array.isArray(e)?e[s].tensor:e[r];if(l==null)return;let u=this.accumulatedFirstMoment[s].variable,p=this.accumulatedSecondMoment[s].variable,d=Y(z(u,this.beta1),z(l,1-this.beta1)),c=Y(z(p,this.beta2),z(lt(l),1-this.beta2)),h=he(d,n),m=he(c,a);u.assign(d),p.assign(c);let f=Y(z(he(h,Y(ln(m),this.epsilon)),-this.learningRate),i);i.assign(f)}),this.accBeta1.assign(z(this.accBeta1,this.beta1)),this.accBeta2.assign(z(this.accBeta2,this.beta2))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.accBeta2.dispose(),this.accumulatedFirstMoment!=null&&$e(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedSecondMoment!=null&&$e(this.accumulatedSecondMoment.map(e=>e.variable))}async getWeights(){let e=[...this.accumulatedFirstMoment,...this.accumulatedSecondMoment];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e),P(()=>{this.accBeta1.assign($r(this.beta1,this.iterations_+1)),this.accBeta2.assign($r(this.beta2,this.iterations_+1))});let t=e.length/2,n=!1;this.accumulatedFirstMoment=e.slice(0,t).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})),this.accumulatedSecondMoment=e.slice(t,t*2).map(a=>({originalName:a.name,variable:a.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)}};kf.className="Adam";vs(kf);var If=class extends Dr{constructor(e,t,n,a=null,r=0){super(),this.learningRate=e,this.beta1=t,this.beta2=n,this.epsilon=a,this.decay=r,this.accumulatedFirstMoment=[],this.accumulatedWeightedInfNorm=[],P(()=>{this.iteration=ye(0).variable(),this.accBeta1=ye(t).variable()}),a==null&&(this.epsilon=O.backend.epsilon())}applyGradients(e){let t=Array.isArray(e)?e.map(n=>n.name):Object.keys(e);P(()=>{let n=pe(1,this.accBeta1),a=he(-this.learningRate,Y(z(this.iteration,this.decay),1));t.forEach((r,s)=>{let i=O.registeredVariables[r],o=!1;this.accumulatedFirstMoment[s]==null&&(this.accumulatedFirstMoment[s]={originalName:`${r}/m`,variable:je(i).variable(o)}),this.accumulatedWeightedInfNorm[s]==null&&(this.accumulatedWeightedInfNorm[s]={originalName:`${r}/v`,variable:je(i).variable(o)});let l=Array.isArray(e)?e[s].tensor:e[r];if(l==null)return;let u=this.accumulatedFirstMoment[s].variable,p=this.accumulatedWeightedInfNorm[s].variable,d=Y(z(u,this.beta1),z(l,1-this.beta1)),c=z(p,this.beta2),h=Lt(l),m=cr(c,h);u.assign(d),p.assign(m);let f=Y(z(he(a,n),he(d,Y(m,this.epsilon))),i);i.assign(f)}),this.iteration.assign(Y(this.iteration,1)),this.accBeta1.assign(z(this.accBeta1,this.beta1))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.iteration.dispose(),this.accumulatedFirstMoment!=null&&$e(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedWeightedInfNorm!=null&&$e(this.accumulatedWeightedInfNorm.map(e=>e.variable))}async getWeights(){throw new Error("getWeights() is not implemented for Adamax yet.")}async setWeights(e){throw new Error("setWeights() is not implemented for Adamax yet.")}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)}};If.className="Adamax";vs(If);var Hc=class extends Dr{constructor(e){super(),this.learningRate=e,this.setLearningRate(e)}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=Array.isArray(e)?e[n].tensor:e[t];if(a==null)return;let r=O.registeredVariables[t];P(()=>{let s=Y(z(this.c,a),r);r.assign(s)})}),this.incrementIterations()}setLearningRate(e){this.learningRate=e,this.c!=null&&this.c.dispose(),this.c=Zt(ye(-e))}dispose(){this.c.dispose()}async getWeights(){return[await this.saveIterations()]}async setWeights(e){if(e=await this.extractIterations(e),e.length!==0)throw new Error("SGD optimizer does not have settable weights.")}getConfig(){return{learningRate:this.learningRate}}static fromConfig(e,t){return new e(t.learningRate)}};Hc.className="SGD";vs(Hc);var Sf=class extends Hc{constructor(e,t,n=!1){super(e),this.learningRate=e,this.momentum=t,this.useNesterov=n,this.accumulations=[],this.m=ye(this.momentum)}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=O.registeredVariables[t];this.accumulations[n]==null&&(this.accumulations[n]={originalName:`${t}/momentum`,variable:P(()=>je(a).variable(!1))});let r=this.accumulations[n].variable,s=Array.isArray(e)?e[n].tensor:e[t];s!=null&&P(()=>{let i,o=Y(z(this.m,r),s);this.useNesterov?i=Y(z(this.c,Y(s,z(o,this.m))),a):i=Y(z(this.c,o),a),r.assign(o),a.assign(i)})}),this.incrementIterations()}dispose(){this.m.dispose(),this.accumulations!=null&&$e(this.accumulations.map(e=>e.variable))}setMomentum(e){this.momentum=e}async getWeights(){return[await this.saveIterations()].concat(this.accumulations.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=!1;this.accumulations=e.map(n=>({originalName:n.name,variable:n.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}static fromConfig(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)}};Sf.className="Momentum";vs(Sf);var Tf=class extends Dr{constructor(e,t=.9,n=0,a=null,r=!1){if(super(),this.learningRate=e,this.decay=t,this.momentum=n,this.epsilon=a,this.accumulatedMeanSquares=[],this.accumulatedMoments=[],this.accumulatedMeanGrads=[],this.centered=r,a==null&&(this.epsilon=O.backend.epsilon()),e==null)throw new Error("learningRate for RMSPropOptimizer must be defined.")}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=O.registeredVariables[t],r=!1;this.accumulatedMeanSquares[n]==null&&(this.accumulatedMeanSquares[n]={originalName:`${t}/rms`,variable:P(()=>je(a).variable(r))}),this.accumulatedMoments[n]==null&&(this.accumulatedMoments[n]={originalName:`${t}/momentum`,variable:P(()=>je(a).variable(r))}),this.accumulatedMeanGrads[n]==null&&this.centered&&(this.accumulatedMeanGrads[n]={originalName:`${t}/mg`,variable:P(()=>je(a).variable(r))});let s=Array.isArray(e)?e[n].tensor:e[t];if(s==null)return;let i=this.accumulatedMeanSquares[n].variable,o=this.accumulatedMoments[n].variable;P(()=>{let l=Y(z(i,this.decay),z(lt(s),1-this.decay));if(this.centered){let u=this.accumulatedMeanGrads[n].variable,p=Y(z(u,this.decay),z(s,1-this.decay)),d=he(z(s,this.learningRate),ln(pe(l,Y(lt(p),this.epsilon)))),c=Y(z(o,this.momentum),d);i.assign(l),u.assign(p),o.assign(c);let h=pe(a,c);a.assign(h)}else{let u=Y(z(i,this.decay),z(lt(s),1-this.decay)),p=Y(z(o,this.momentum),he(z(s,this.learningRate),ln(Y(u,this.epsilon))));i.assign(u),o.assign(p);let d=pe(a,p);a.assign(d)}})}),this.incrementIterations()}dispose(){this.accumulatedMeanSquares!=null&&$e(this.accumulatedMeanSquares.map(e=>e.variable)),this.accumulatedMeanGrads!=null&&this.centered&&$e(this.accumulatedMeanGrads.map(e=>e.variable)),this.accumulatedMoments!=null&&$e(this.accumulatedMoments.map(e=>e.variable))}async getWeights(){let e=[...this.accumulatedMeanSquares,...this.accumulatedMoments];return this.centered&&e.push(...this.accumulatedMeanGrads),[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=this.centered?e.length/3:e.length/2,n=!1;this.accumulatedMeanSquares=e.slice(0,t).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})),this.accumulatedMoments=e.slice(t,t*2).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})),this.centered&&(this.accumulatedMeanGrads=e.slice(t*2,t*3).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})))}getConfig(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}}static fromConfig(e,t){return new e(t.learningRate,t.decay,t.momentum,t.epsilon,t.centered)}};Tf.className="RMSProp";vs(Tf);var Xr=class{static sgd(e){return new Hc(e)}static momentum(e,t,n=!1){return new Sf(e,t,n)}static rmsprop(e,t=.9,n=0,a=null,r=!1){return new Tf(e,t,n,a,r)}static adam(e=.001,t=.9,n=.999,a=null){return new kf(e,t,n,a)}static adadelta(e=.001,t=.95,n=null){return new vf(e,t,n)}static adamax(e=.002,t=.9,n=.999,a=null,r=0){return new If(e,t,n,a,r)}static adagrad(e,t=.1){return new wf(e,t)}},Bs={sgd:Xr.sgd,momentum:Xr.momentum,adadelta:Xr.adadelta,adagrad:Xr.adagrad,rmsprop:Xr.rmsprop,adamax:Xr.adamax,adam:Xr.adam},_z=(()=>typeof requestAnimationFrame!="undefined"?requestAnimationFrame:typeof setImmediate!="undefined"?setImmediate:e=>e())();function Yv(){return new Promise(e=>_z(()=>e()))}var N={};_e(N,{ERF_A1:()=>Uz,ERF_A2:()=>Gz,ERF_A3:()=>Hz,ERF_A4:()=>jz,ERF_A5:()=>qz,ERF_P:()=>Vz,PARALLELIZE_THRESHOLD:()=>Zv,RowPartitionType:()=>tr,SELU_SCALE:()=>qT,SELU_SCALEALPHA:()=>jT,applyActivation:()=>yf,assertAndGetBroadcastShape:()=>ut,assertAxesAreInnerMostDims:()=>RP,assertParamsConsistent:()=>Ez,assignToTypedArray:()=>Qz,axesAreInnerMostDims:()=>vv,calculateShapes:()=>NS,checkEinsumDimSizes:()=>sB,checkPadOnDimRoundingMode:()=>Tn,combineLocations:()=>YS,combineRaggedTensorToTensorShapes:()=>$z,complexWithEvenIndex:()=>Yz,complexWithOddIndex:()=>Zz,computeConv2DInfo:()=>Dc,computeConv3DInfo:()=>VS,computeDefaultPad:()=>tv,computeDilation2DInfo:()=>MM,computeOptimalWindowSize:()=>Mz,computeOutAndReduceShapes:()=>ZS,computeOutShape:()=>Az,computePool2DInfo:()=>WS,computePool3DInfo:()=>PM,convertConv2DDataFormat:()=>US,decodeEinsumEquation:()=>aB,eitherStridesOrDilationsAreOne:()=>pr,expandShapeToKeepDim:()=>ii,exponent:()=>tB,exponents:()=>eB,fromStringArrayToUint8:()=>NB,fromUint8ToStringArray:()=>TB,getAxesPermutation:()=>JS,getBroadcastDims:()=>IS,getComplexWithIndex:()=>Jz,getEinsumComputePath:()=>iB,getEinsumPermutation:()=>rB,getFusedBiasGradient:()=>bf,getFusedDyActivation:()=>gf,getImageCenter:()=>Pz,getInnerMostAxes:()=>MP,getPermuted:()=>Lz,getRaggedRank:()=>Dz,getReductionAxes:()=>Bt,getReshaped:()=>Oz,getReshapedPermuted:()=>zz,getRowPartitionTypesHelper:()=>Fz,getSliceBeginCoords:()=>Bz,getSliceSize:()=>Wz,getSparseFillEmptyRowsIndicesDenseShapeMismatch:()=>pB,getSparseFillEmptyRowsNegativeIndexErrorMessage:()=>cB,getSparseFillEmptyRowsOutOfRangeIndexErrorMessage:()=>dB,getSparseReshapeEmptyTensorZeroOutputDimErrorMessage:()=>fB,getSparseReshapeInputOutputMismatchErrorMessage:()=>bB,getSparseReshapeInputOutputMultipleErrorMessage:()=>gB,getSparseReshapeMultipleNegativeOneOutputDimErrorMessage:()=>hB,getSparseReshapeNegativeOutputDimErrorMessage:()=>mB,getSparseSegmentReductionIndicesOutOfRangeErrorMessage:()=>wB,getSparseSegmentReductionNegativeSegmentIdsErrorMessage:()=>yB,getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage:()=>xB,getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage:()=>vB,getUndoAxesPermutation:()=>wv,isIdentityPermutation:()=>oB,log:()=>JF,mergeRealAndImagArrays:()=>Kz,prepareAndValidate:()=>TS,prepareSplitSize:()=>uB,segment_util:()=>KT,shouldFuse:()=>xf,slice_util:()=>jt,splitRealAndImagArrays:()=>Xz,tupleValuesAreOne:()=>is,upcastType:()=>ma,validateDefaultValueShape:()=>Rz,validateInput:()=>Gx,validateUpdateShape:()=>Ux,warn:()=>Zr});function Ez(e,t){let n=e[0].length;e.forEach((r,s)=>{$(r.length===n,()=>`Error in concat${n}D: rank of tensors[${s}] must be the same as the rank of the rest (${n})`)}),$(t>=0&&t`Error in concat${n}D: axis must be between 0 and ${n-1}.`);let a=e[0];e.forEach((r,s)=>{for(let i=0;i`Error in concat${n}D: Shape of tensors[${s}] (${r}) does not match the shape of the rest (${a}) along the non-concatenated axis ${s}.`)})}function Az(e,t){let n=e[0].slice();for(let a=1;a=0)if(o>=0){if(o!==s)throw new Error(`rt input.shape and shape=${t} are incompatible: rt input.shape[${r+e}] = ${s} but shape[${r+e}] = ${o}`)}else a[i]=s}return a}function Fz(e){let t={FIRST_DIM_SIZE:tr.FIRST_DIM_SIZE,VALUE_ROWIDS:tr.VALUE_ROWIDS,ROW_LENGTHS:tr.ROW_LENGTHS,ROW_SPLITS:tr.ROW_SPLITS,ROW_LIMITS:tr.ROW_LIMITS,ROW_STARTS:tr.ROW_STARTS},n=[];for(let a of e)if(a in t)n.push(t[a]);else break;return n}function Dz(e){return e.length===0?0:e[0]===tr.FIRST_DIM_SIZE?e.length-1:e.length}function Rz(e,t){if(e==null||t==null)return;let n=e.length,a=t.length;if(n>=a)throw new Error(`defaultValue.shape=${e} and ragged tensor flatValues.shape=${t}, are incompatible: defaultValue.rank = ${n} must be less than ragged tensor input flatValues.rank = ${a})`);for(let r=0;r=0&&i>=0&&s!==1&&s!==i)throw new Error(`defaultValue.shape=${e}, and ragged tensor input flatValues.shape=${t} are incompatible: defaultValue.shape[${r-e.length}] = ${s} but ragged tensor input.flatValues.shape[${r-e.length}] = ${i}`)}}var Zv=30;function Mz(e){return e<=Zv?e:Eh(e,Math.floor(Math.sqrt(e)))}function Pz(e,t,n){let a=n*(typeof e=="number"?e:e[0]),r=t*(typeof e=="number"?e:e[1]);return[a,r]}function Oz(e,t,n,a=!0){let r=[];if(a)r=r.concat(t.slice(0)),r.push(e[0]/n),r=r.concat(e.slice(1));else{r=r.concat(e[0]);let s=t.length;for(let i=0;i=t*2+1||i%2===1?s.push(i):r.push(i);a.push(...r),a.push(0),a.push(...s)}return a}function zz(e,t,n,a=!0){let r=[];a?r.push(e[0]/n):r.push(e[0]*n);for(let s=1;s/g,gk=",",bk="...";function aB(e,t){e=e.replace(/\s/g,"");let n=(e.length-e.replace(nB,"").length)/fy.length;if(n<1)throw new Error("Equations without an arrow are not supported.");if(n>1)throw new Error(`Equation must contain exactly one arrow ("${fy}").`);let[a,r]=e.split(fy);$(a.indexOf(bk)===-1,()=>`The ellipsis notation ("${bk}") is not supported yet.`);let s=a.split(gk),i=s.length;if(t!==i)throw new Error(`Expected ${i} input tensors, received ${t}`);if(i>2)throw new Error("Support for more than 2 input tensors is not implemented yet.");let o=[];for(let c=0;cm.indexOf(h)!==-1))throw new Error(`Output subscripts contain the label ${h} not present in the input subscripts.`);o.indexOf(h)===-1&&o.push(h)}for(let c=0;cr!==-1),{permutationIndices:n,expandDims:a}}function sB(e,t,n){let a=new Array(e);for(let r=0;r`Expected dimension ${a[t[r][i]]} at axis ${i} of input shaped ${JSON.stringify(s)}, but got dimension ${s[i]}`)}}function iB(e,t){let n=e,a=[],r=0;e.length===0&&n.push(-1),r=e.length+1;for(let i=0;it===n)}function lB(e,t){let n=[];for(let a=0;a"Number of splits must evenly divide the axis."),a=new Array(t).fill(e.shape[n]/t);else{let r=t.reduce((i,o)=>(o===-1&&(i+=1),i),0);$(r<=1,()=>"There should be only one negative value in split array.");let s=t.indexOf(-1);if(s!==-1){let i=t.reduce((o,l)=>l>0?o+l:o);t[s]=e.shape[n]-i}$(e.shape[n]===t.reduce((i,o)=>i+o),()=>"The sum of sizes must match the size of the axis dimension."),a=t}return a}function pB(e){return`Received SparseTensor with denseShape[0] = 0 but - indices.shape[0] = ${e}`}function cB(e,t){return`indices(${e}, 0) is invalid: ${t} < 0`}function dB(e,t,n){return`indices(${e}, 0) is invalid: ${t} >= ${n}`}function hB(e,t){return`only one output dimension may be -1, not both ${e} and ${t}`}function mB(e,t){return`size ${e} must be non-negative, not ${t}`}function fB(){return"reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero"}function gB(e,t){let n=mt(e),a=mt(t);return`Input to reshape is a SparseTensor with ${n} - dense values, but the requested shape requires a multiple of ${a}. inputShape=${e} outputShape= ${t}`}function bB(e,t){let n=mt(e),a=mt(t);return`Input to reshape is a tensor with ${n} dense values, but the requested shape has ${a}. inputShape=${e} outputShape=${t}`}function yB(){return"segment ids must be >= 0"}function xB(){return"segment ids are not increasing"}function vB(e,t){return`Segment id ${e} out of range [0, ${t}), possibly because segmentIds input is not sorted.`}function wB(e,t,n){return`Bad: indices[${e}] == ${t} out of range [0, ${n})`}var KT={};_e(KT,{collectGatherOpShapeInfo:()=>SB,computeOutShape:()=>IB,segOpComputeOptimalWindowSize:()=>kB});function kB(e,t){let n=!1,a;for(e<=Zv?(a=e,n=!0):a=Eh(e,Math.floor(Math.sqrt(e)));!n;)a>t||a===e?n=!0:a=Eh(e,a+1);return a}function IB(e,t,n){let a=[],r=e.length;for(let s=0;sr))throw new Error(`Expect batchDims in the range of [-${r}, ${r}], but got ${a}`);if(a<0&&(a+=r),a>s)throw new Error(`batchDims (${a}) must be less than rank(x) ( - ${s}).`);if(nMh(t))}catch(t){throw new Error(`Failed to decode encoded string bytes into utf-8, error: ${t}`)}}function NB(e){return e.map(t=>_c(t))}var dr={};_e(dr,{nonMaxSuppressionV3Impl:()=>PT,nonMaxSuppressionV4Impl:()=>OT,nonMaxSuppressionV5Impl:()=>LT,whereImpl:()=>TT});var XT={kernelName:$l,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,go(oe(n,"float32"),-1))}}},CB={kernelName:Fl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=lt(oe(n,"float32")),r=ln(pe(ye(1),a));return vt(he(e,r))}}}},_B={kernelName:Dl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=ln(pe(lt(oe(n,"float32")),1));return he(e,a)}}}},EB={kernelName:fs,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=ut(n.shape,a.shape);return{a:()=>{let s=e,i=Bt(n.shape,r);return i.length>0&&(s=fe(s,i)),B(s,n.shape)},b:()=>{let s=e,i=Bt(a.shape,r);return i.length>0&&(s=fe(s,i)),B(s,a.shape)}}}},AB={kernelName:fi,saveAllInputs:!0,gradFunc:(e,t)=>{let n={};return t.forEach((a,r)=>{n[r]=()=>e.clone()}),n}},$B={kernelName:gi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>je(n)}}},FB={kernelName:uc,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>je(n)}}},DB={kernelName:Pl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,ln(pe(ye(1),lt(oe(n,"float32")))))}}},RB={kernelName:Ol,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=ln(Y(ye(1),lt(oe(n,"float32"))));return he(e,a)}}}},MB={kernelName:Bl,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=ut(n.shape,a.shape);return{a:()=>{let s=Y(lt(n),lt(a)),i=z(e,he(a,s)),o=Bt(n.shape,r);return o.length>0&&(i=fe(i,o)),B(i,n.shape)},b:()=>{let s=Y(lt(n),lt(a)),i=vt(z(e,he(n,s))),o=Bt(a.shape,r);return o.length>0&&(i=fe(i,o)),B(i,a.shape)}}}},PB={kernelName:Ll,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,Y(lt(oe(n,"float32")),1))}}},OB={kernelName:zl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,pe(ye(1),lt(oe(n,"float32"))))}}};function LB(e,t,n,a,r,s){let i=_(e,"dy","avgPool3dGrad"),o=_(t,"input","avgPool3dGrad"),l=i,u=o,p=!1;o.rank===4&&(p=!0,l=B(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]]),u=B(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]])),$(l.rank===5,()=>`Error in avgPool3dGrad: dy must be rank 5 but got rank ${l.rank}.`),$(u.rank===5,()=>`Error in avgPool3dGrad: input must be rank 5 but got rank ${u.rank}.`),Tn("avgPool3dGrad",r,s);let d={dy:l,input:u},c={filterSize:n,strides:a,pad:r,dimRoundingMode:s},h=O.runKernel(pm,d,c);return p?B(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}var zB=L({avgPool3dGrad_:LB}),BB={kernelName:pc,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{filterSize:r,strides:s,pad:i,dimRoundingMode:o}=n;return{x:()=>zB(e,a,r,s,i,o)}}};function WB(e,t,n,a,r){let s=_(e,"dy","avgPoolGrad"),i=_(t,"input","avgPoolGrad");$(i.rank===s.rank,()=>`Rank of input (${i.rank}) does not match rank of dy (${s.rank})`);let o=i,l=s,u=!1;i.rank===3&&(u=!0,o=B(i,[1,i.shape[0],i.shape[1],i.shape[2]]),l=B(s,[1,s.shape[0],s.shape[1],s.shape[2]])),$(l.rank===4,()=>`Error in avgPoolGrad: dy must be rank 4 but got rank ${l.rank}.`),$(o.rank===4,()=>`Error in avgPoolGrad: input must be rank 4 but got rank ${o.rank}.`);let p={dy:l,input:o},d={filterSize:n,strides:a,pad:r},c=O.runKernel(um,p,d);return u?B(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var VB=L({avgPoolGrad_:WB}),UB={kernelName:bi,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{filterSize:r,strides:s,pad:i}=n;return{x:()=>VB(e,a,r,s,i)}}},GB={kernelName:yi,inputsToSave:["a","b"],gradFunc:(e,t,n)=>{let[a,r]=t,{transposeA:s,transposeB:i}=n;return!s&&!i?{a:()=>Ae(e,r,!1,!0),b:()=>Ae(a,e,!0,!1)}:!s&&i?{a:()=>Ae(e,r,!1,!1),b:()=>Ae(e,a,!0,!1)}:s&&!i?{a:()=>Ae(r,e,!1,!0),b:()=>Ae(a,e,!1,!1)}:{a:()=>Ae(r,e,!0,!0),b:()=>Ae(e,a,!0,!0)}}},HB={kernelName:Wl,gradFunc:(e,t,n)=>{let{blockShape:a,crops:r}=n;return{x:()=>Bc(e,a,r)}}},jB={kernelName:qI,gradFunc:(e,t,n)=>{let a=n,r=a.inputShape,s=a.shape,i=Array.from(s);for(let l=r.length-1;l>=0;l--)if(r[l]===s[l])i[l]=1;else if(r[l]!==1)throw new Error(`broadcastTo(): [${r}] cannot be broadcast to [${s}].`);let o=[];for(let l=0;l1&&o.push(l);return{x:()=>fe(e,o,!0)}}},qB={kernelName:xi,gradFunc:e=>({x:()=>e.clone()})},KB={kernelName:vi,gradFunc:e=>({x:()=>je(e)})},XB={kernelName:gs,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{clipValueMin:r,clipValueMax:s}=n;return{x:()=>mn(Aa(Is(a,r),Ss(a,s)),e,je(e))}}},YB={kernelName:cc,inputsToSave:["x"],gradFunc:XT.gradFunc},ZB={kernelName:Vl,saveAllInputs:!0,gradFunc:(e,t,n)=>{let a=t.map(o=>o.shape),{axis:r}=n,s=$a(r,t[0].shape)[0],i=a.map(o=>o[s]);return Ln(e,i,s).map(o=>()=>o)}},JB={kernelName:wi,inputsToSave:["x","filter"],gradFunc:(e,t,n)=>{let[a,r]=t,{dilations:s,strides:i,pad:o,dataFormat:l}=n;return $(is(s),()=>`Error in gradient of conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`),{x:()=>dv(a.shape,e,r,i,o,l),filter:()=>qv(a,e,r.shape,i,o,l)}}},QB={kernelName:ki,inputsToSave:["dy","filter"],gradFunc:(e,t,n)=>{let[a,r]=t,{strides:s,pad:i,dataFormat:o,dimRoundingMode:l}=n;return{dy:()=>$t(e,r,s,i,o,1,l),filter:()=>qv(e,a,r.shape,s,i,o,l)}}};function eW(e,t,n,a,r){let s=e;e.rank===4&&(s=B(e,[1,e.shape[0],e.shape[1],e.shape[2],e.shape[3]]));let i=t;i.rank===4&&(i=B(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]])),$(s.rank===5,()=>`Error in conv3dDerFilter: input must be rank 5, but got shape ${s.shape}.`),$(i.rank===5,()=>`Error in conv3dDerFilter: dy must be rank 5, but got shape ${i.shape}.`),$(n.length===5,()=>`Error in conv3dDerFilter: filterShape must be length 5, but got ${n}.`),$(s.shape[4]===n[3],()=>`Error in conv3dDerFilter: depth of input ${s.shape[4]}) must match input depth in filter (${n[3]}.`),$(i.shape[4]===n[4],()=>`Error in conv3dDerFilter: depth of dy (${i.shape[4]}) must match output depth for filter (${n[4]}).`);let o={x:s,dy:i},l={strides:a,pad:r,filterShape:n};return O.runKernel(fm,o,l)}var tW=L({conv3DBackpropFilter_:eW}),nW={kernelName:dc,inputsToSave:["x","filter"],gradFunc:(e,t,n)=>{let{dilations:a,strides:r,pad:s}=n;$(is(a),()=>`Error in gradient of conv3D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${a}'`);let[i,o]=t;return{x:()=>jS(i.shape,e,o,r,s),filter:()=>tW(i,e,o.shape,r,s)}}},aW={kernelName:Ii,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(vt(lf(oe(n,"float32"))),e)}}},rW={kernelName:Si,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(uf(oe(n,"float32")),e)}}},sW={kernelName:Ti,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{axis:r,exclusive:s,reverse:i}=n;return{x:()=>{let o=JS([r],a.rank),l=Km(e,r,s,!i);return o!=null&&(l=Ce(l,o)),l}}}},iW={kernelName:Ni,inputsToSave:["x","filter"],gradFunc:(e,t,n)=>{let{dilations:a,strides:r,pad:s,dimRoundingMode:i}=n,o=a==null?[1,1]:a;$(is(o),()=>`Error in gradient of depthwiseConv2dNative: dilation rates greater than 1 are not yet supported. Got dilations '${o}'`);let[l,u]=t;return $(l.rank===4,()=>`Error in gradient of depthwiseConv2dNative: input must be rank 4, but got rank ${l.rank}.`),$(u.rank===4,()=>`Error in gradient of depthwiseConv2dNative: filter must be rank 4, but got rank ${u.rank}.`),$(l.shape[3]===u.shape[2],()=>`Error in gradient of depthwiseConv2d: number of input channels (${l.shape[3]}) must match the inChannels dimension in filter ${u.shape[2]}.`),$(pr(r,o),()=>`Error in gradient of depthwiseConv2d: Either strides or dilations must be 1. Got strides ${r} and dilations '${o}'.`),Tn("depthwiseConv2d",s,i),{x:()=>DT(l.shape,e,u,r,s,o,i),filter:()=>FT(l,e,u.shape,r,s,o,i)}}},oW={kernelName:hc,inputsToSave:["x","filter"],gradFunc:(e,t,n)=>{let[a,r]=t,s={x:a,filter:r,dy:e},i={x:a,filter:r,dy:e};return{x:()=>O.runKernel(Ah,s,n),filter:()=>O.runKernel($h,i,n)}}},lW={kernelName:_i,outputsToSave:[!0],gradFunc:(e,t)=>{let[n]=t,a={dy:e,y:n};return{x:()=>O.runKernel(km,a)}}},uW={kernelName:jl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t,a=z(fn(vt(lt(n))),2/Math.sqrt(Math.PI));return{x:()=>z(e,a)}}},pW={kernelName:Ei,outputsToSave:[!0],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,n)}}},cW={kernelName:Kl,inputsToSave:["input"],gradFunc:(e,t)=>{let[n]=t;return{input:()=>B(e,n.shape)}}},dW={kernelName:Xl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,fn(n))}}},hW={kernelName:Ai,gradFunc:e=>({x:()=>je(e)})},mW={kernelName:$i,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=ut(n.shape,a.shape);return{a:()=>{let s=he(e,oe(a,"float32")),i=Bt(n.shape,r);return i.length>0?B(fe(s,i),n.shape):s},b:()=>{let s=z(e,oe(n,"float32")),i=Bt(a.shape,r);i.length>0&&(s=B(fe(s,i),a.shape));let o=lt(a);return vt(he(s,oe(o,"float32")))}}}},fW={kernelName:Fi,inputsToSave:["x","mean","variance","scale"],gradFunc:(e,t,n)=>{let{varianceEpsilon:a}=n,[r,s,i,o]=t,l=o==null?ye(1):o,u=Bt(s.shape,r.shape),p=[];if(s.rank===1){for(let f=0;fs.rank===1?B(z(z(e,Pn(B(h,[1,1,1,s.shape[0]]),p)),l),r.shape):B(z(z(e,h),l),r.shape),mean:()=>{let f=z(z(h,ye(-1)),c);return s.rank===1&&(f=fe(f,u)),B(f,s.shape)},variance:()=>{let f=z(z(m,d),c);return s.rank===1&&(f=fe(f,u)),B(f,s.shape)},scale:()=>{let f=z(d,h),g=z(e,f);return s.rank===1&&(g=fe(g,u)),B(g,s.shape)},offset:()=>{let f=e;return s.rank===1&&(f=fe(f,u)),B(f,s.shape)}}}},gW={kernelName:Zl,inputsToSave:["x","indices"],gradFunc:(e,t,n)=>{let[a,r]=t,{axis:s}=n,i=$a(s,a.shape)[0];return{x:()=>{let o=a.shape,l=r.size,u=o.slice(0,i),p=u.length,d=o.slice(s,o.length).slice(1),c=d.length,h=yk(0,p),m=yk(p+1,p+1+c),f=xk([u,[l],d]),g=B(e,f),b=B(r,[l]),y=xk([[p],h,m]),x=Ce(g,y),w=mf(x,b,a.shape[i]),I=wv(y);return w=Ce(w,I),w},indices:()=>r}}};function yk(e,t){let n=[];for(let a=e;a{let[n,a]=t;return{a:()=>je(n),b:()=>je(a)}}},yW={kernelName:Ri,gradFunc:e=>({x:()=>oe(e,"float32")})},xW={kernelName:eu,gradFunc:e=>({x:()=>je(e)})},vW={kernelName:tu,gradFunc:e=>({x:()=>je(e)})},wW={kernelName:nu,gradFunc:e=>({x:()=>je(e)})},kW={kernelName:Mi,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{alpha:r}=n,s=Vn(a,0);return{x:()=>mn(s,e,z(e,r))}}},IW={kernelName:su,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,Y(n,1))}}},SW={kernelName:Pi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,oe(n,"float32"))}}},TW={kernelName:XI,inputsToSave:[],outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a]=t,{axis:r}=n;return{logits:()=>{let s=fn(a);return pe(e,z(fe(e,r,!0),s))}}}};function NW(e,t,n,a=5,r=1,s=1,i=.5){let o={x:e,y:t,dy:n},l={depthRadius:a,bias:r,alpha:s,beta:i};return O.runKernel(Cm,o,l)}var CW=L({localResponseNormalizationBackprop_:NW}),_W={kernelName:fc,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a,r]=t,{depthRadius:s,bias:i,alpha:o,beta:l}=n;return{x:()=>CW(a,r,e,s,i,o,l)}}};function YT(e,t,n,a){return t.rankz(e,oe(Qn(n,t),e.dtype))}}var vk={kernelName:Oi,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let a=n,{reductionIndices:r}=a,s=t[0],i=t[1],o=$a(r,s.shape),l=YT(e,i,s,o);return{x:()=>l.x()}}},EW={kernelName:Li,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t;return{a:()=>z(e,oe(Is(n,a),"float32")),b:()=>z(e,oe(Ym(n,a),"float32"))}}};function AW(e,t,n,a,r,s,i){let o=_(e,"dy","maxPool3dGrad"),l=_(t,"input","maxPool3dGrad"),u=_(n,"output","maxPool3dGrad"),p=o,d=l,c=u,h=!1;l.rank===4&&(h=!0,p=B(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]]),d=B(l,[1,l.shape[0],l.shape[1],l.shape[2],l.shape[3]]),c=B(u,[1,u.shape[0],u.shape[1],u.shape[2],u.shape[3]])),$(p.rank===5,()=>`Error in maxPool3dGrad: dy must be rank 5 but got rank ${p.rank}.`),$(d.rank===5,()=>`Error in maxPool3dGrad: input must be rank 5 but got rank ${d.rank}.`),$(c.rank===5,()=>`Error in maxPool3dGrad: output must be rank 5 but got rank ${c.rank}.`),Tn("maxPool3dGrad",s,i);let m={dy:p,input:d,output:c},f={filterSize:a,strides:r,pad:s,dimRoundingMode:i},g=O.runKernel(Em,m,f);return h?B(g,[g.shape[1],g.shape[2],g.shape[3],g.shape[4]]):g}var $W=L({maxPool3dGrad_:AW}),FW={kernelName:gc,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a,r]=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=n;return{x:()=>$W(e,a,r,s,i,o,l)}}};function DW(e,t,n,a,r,s,i){let o=_(e,"dy","maxPoolGrad"),l=_(t,"input","maxPoolGrad"),u=_(n,"output","maxPoolGrad");$(l.rank===o.rank,()=>`Rank of input (${l.rank}) does not match rank of dy (${o.rank})`),$(o.rank===4,()=>`Error in maxPoolGrad: dy must be rank 4 but got rank ${o.rank}.`),$(l.rank===4,()=>`Error in maxPoolGrad: input must be rank 4 but got rank ${l.rank}.`),Tn("maxPoolGrad",s,i);let p={dy:o,input:l,output:u},d={filterSize:a,strides:r,pad:s,dimRoundingMode:i};return O.runKernel(_m,p,d)}var RW=L({maxPoolGrad_:DW}),MW={kernelName:zi,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a,r]=t,{filterSize:s,strides:i,pad:o}=n;return{x:()=>RW(e,a,r,s,i,o)}}},PW={kernelName:Bi,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{axis:r}=n,s=$a(r,a.shape),i=ZS(a.shape,s)[1],o=mt(i);return{x:()=>{let l=a.shape.slice();s.forEach(p=>{l[p]=1});let u=B(e,l);return he(z(u,Zn(a.shape,"float32")),o)}}}},OW={kernelName:Wi,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let a=n,{axis:r}=a,[s,i]=t,o=$a(r,s.shape),l=YT(e,i,s,o);return{x:()=>l.x()}}},LW={kernelName:Vi,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t;return{a:()=>z(e,oe(Ss(n,a),"float32")),b:()=>z(e,oe(Vn(n,a),"float32"))}}},zW={kernelName:Ui,inputsToSave:["x"],gradFunc:(e,t,n)=>{let a=t[0],{paddings:r}=n,s=r.map(i=>i[0]);return{x:()=>We(e,s,a.shape)}}},BW={kernelName:uu,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=ut(n.shape,a.shape);return{a:()=>{let s=Bt(n.shape,r);return s.length>0?B(fe(e,s),n.shape):e},b:()=>{let s=z(e,vt(Lu(he(n,a)))),i=Bt(a.shape,r);return i.length>0?B(fe(s,i),a.shape):s}}}},WW={kernelName:Gi,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=ut(n.shape,a.shape);return{a:()=>{let s=z(e,oe(a,"float32")),i=Bt(n.shape,r);return i.length>0?B(fe(s,i),n.shape):s},b:()=>{let s=z(e,oe(n,"float32")),i=Bt(a.shape,r);return i.length>0?B(fe(s,i),a.shape):s}}}},VW={kernelName:pu,gradFunc:e=>({x:()=>vt(e)})},UW={kernelName:Hi,inputsToSave:["indices"],gradFunc:(e,t)=>{let n=t[0];return{indices:()=>It(n.shape,"float32")}}},GW={kernelName:fu,gradFunc:e=>({x:()=>je(e)})},HW={kernelName:gu,saveAllInputs:!0,gradFunc:(e,t,n)=>{let{axis:a}=n;return ct(e,a).map(r=>()=>r)}},wk={kernelName:ji,inputsToSave:["x"],gradFunc:(e,t,n)=>{let a=t[0],{paddings:r}=n,s=r.map(i=>i[0]);return{x:()=>We(e,s,a.shape)}}},jW={kernelName:qi,inputsToSave:["a","b"],outputsToSave:[!0],gradFunc:(e,t)=>{let[n,a,r]=t,s=n,i=a,o=ut(s.shape,i.shape);return{a:()=>{let l=oe(i,"float32"),u=z(e,z(l,$r(s,pe(l,ye(1))))),p=Bt(s.shape,o);return p.length>0&&(u=fe(u,p)),B(u,s.shape)},b:()=>{let l=Vn(s,0),u=mn(l,ea(s),je(s)),p=z(e,z(r,u)),d=Bt(i.shape,o);return d.length>0&&(p=fe(p,d)),B(p,i.shape)}}}},qW={kernelName:Ki,inputsToSave:["x","alpha"],gradFunc:(e,t)=>{let[n,a]=t,r=Vn(n,0);return{x:()=>mn(r,e,z(e,a)),alpha:()=>{let s=mn(r,je(e),z(e,n)),i=Bt(a.shape,e.shape);return i.length>0&&(s=fe(s,i)),B(s,a.shape)}}}};function KW(e,t,n){let a=e.shape.slice();a[n]=1;let r=B(t,a),s=Zp(e,n,!0,!1),i=Zp(e,n,!0,!0),o=z(s,i);return z(r,o)}function XW(e,t,n){let a=e.shape.length,r=a-n.length,s=N.getAxesPermutation(n,a),i=e;s!=null&&(i=Ce(e,s));let o=i.shape.slice(),l=o.splice(a-n.length,n.length).reduce((d,c)=>d*c,1);o.push(l);let u=i.reshape(o),p=KW(u,t,r);if(p=p.reshape(i.shape),s!=null){let d=N.getUndoAxesPermutation(s);p=Ce(p,d)}return p}var YW={kernelName:Xi,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{axis:r}=n,s=[];return r==null?s=a.shape.map((i,o)=>o):typeof r=="number"?s=[r]:s=r,{x:()=>XW(a,e,s)}}},ZW={kernelName:Ci,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=ut(n.shape,a.shape);return{a:()=>{let s=he(e,oe(a,"float32")),i=Bt(n.shape,r);return i.length>0?B(fe(s,i),n.shape):s},b:()=>{let s=z(e,oe(n,"float32")),i=Bt(a.shape,r);i.length>0&&(s=B(fe(s,i),a.shape));let o=lt(a);return vt(he(s,oe(o,"float32")))}}}},JW={kernelName:bu,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,vt(lt(n)))}}},QW={kernelName:Qi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t,a=z(Ss(n,6),go(n));return{x:()=>z(e,oe(a,"float32"))}}},e4={kernelName:Yi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,oe(go(n),"float32"))}}},t4={kernelName:yu,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>B(e,n.shape)}}},n4={kernelName:Ji,inputsToSave:["images"],gradFunc:(e,t,n)=>{let[a]=t,r={dy:e,images:a};return{images:()=>O.runKernel(Pm,r,n)}}},a4={kernelName:Zi,inputsToSave:["images"],gradFunc:(e,t,n)=>{let[a]=t,r={dy:e,images:a};return{images:()=>O.runKernel(Mm,r,n)}}},r4={kernelName:eo,gradFunc:(e,t,n)=>{let{dims:a}=n,r=$a(a,e.shape);return{x:()=>fa(e,r)}}},s4={kernelName:to,gradFunc:e=>({x:()=>je(e)})},i4={kernelName:no,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>vt(he(e,z($r(n,1.5),2)))}}},o4={kernelName:vu,inputsToSave:["condition"],gradFunc:(e,t)=>{let[n]=t;return{condition:()=>oe(je(n),"float32"),t:()=>z(e,oe(n,e.dtype)),e:()=>z(e,oe(Lc(n),e.dtype))}}},l4={kernelName:wu,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=Vn(n,ye(0)),r=ye(jT),s=ye(qT),i=z(e,s),o=z(z(e,r),fn(oe(n,"float32")));return mn(a,i,o)}}}},u4={kernelName:ro,outputsToSave:[!0],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,z(n,pe(ye(1),n)))}}},p4={kernelName:Su,gradFunc:e=>({x:()=>je(e)})},c4={kernelName:ao,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(Mc(oe(n,"float32")),e)}}},d4={kernelName:Iu,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(qm(oe(n,"float32")),e)}}},h4={kernelName:ku,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{begin:r,size:s}=n,i=a.shape,[o,l]=MS(a,r,s),u=[];for(let p=0;pba(e,u)}}},m4={kernelName:oo,outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a]=t,{dim:r}=n,s=!0,i=z(e,a);return{logits:()=>pe(i,z(fe(i,[r],s),a))}}},f4={kernelName:Tu,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,ha(n))}}},kk={kernelName:Nu,gradFunc:(e,t,n)=>{let{blockShape:a,paddings:r}=n;return{x:()=>Rc(e,a,r)}}},Ik={kernelName:Cu,gradFunc:(e,t,n)=>{let{axis:a}=n;return{x:()=>Ze(e,a)}}},g4={kernelName:so,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,z(ln(oe(n,"float32")),2))}}},b4={kernelName:wc,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,z(oe(n,"float32"),2))}}},y4={kernelName:lo,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=ye(2);return{a:()=>z(e,z(r,pe(n,a))),b:()=>z(e,z(r,pe(a,n)))}}},x4={kernelName:ys,gradFunc:e=>({x:()=>je(e)})},v4={kernelName:uo,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=ut(n.shape,a.shape);return{a:()=>{let s=e,i=Bt(n.shape,r);return i.length>0&&(s=fe(s,i)),B(s,n.shape)},b:()=>{let s=e,i=Bt(a.shape,r);return i.length>0&&(s=fe(s,i)),B(vt(s),a.shape)}}}},w4={kernelName:io,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,r=a.shape.slice(),{axis:s}=n;$a(s,a.shape).forEach(l=>{r[l]=1});let i=B(e,r),o=z(i,Zn(a.shape,"float32"));return{x:()=>o}}},k4={kernelName:po,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,lt(Mc(n)))}}},I4={kernelName:co,outputsToSave:[!0],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(pe(ye(1),lt(n)),e)}}},S4={kernelName:bs,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{reps:r}=n;return{x:()=>{let s=je(a);if(a.rank===1)for(let i=0;i{let a=n,{perm:r}=a,s=wv(r);return{x:()=>Ce(e,s)}}},N4={kernelName:Fu,gradFunc:(e,t,n)=>{let a=n,{axis:r}=a;return{value:()=>Ft(e,r)}}},C4={kernelName:Tc,inputsToSave:["segmentIds"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>_4(e,n)}}};function _4(e,t){let n=cr(t,je(t)),a=zu(e,n),r=Is(t,ye(0,"int32")),s=a.rank-r.rank;for(let o=0;o({x:()=>je(e)})},A4=[XT,CB,_B,EB,AB,$B,FB,DB,RB,MB,PB,OB,BB,UB,GB,HB,jB,qB,KB,XB,YB,ZB,QB,JB,nW,aW,rW,sW,iW,oW,ZW,lW,uW,pW,cW,dW,mW,hW,fW,gW,bW,yW,xW,vW,wW,kW,IW,SW,TW,_W,vk,vk,EW,FW,MW,PW,OW,LW,zW,BW,WW,VW,UW,GW,HW,wk,wk,jW,qW,YW,JW,QW,e4,t4,n4,a4,r4,s4,i4,o4,l4,u4,p4,c4,d4,h4,m4,f4,kk,kk,Ik,Ik,g4,y4,b4,x4,v4,w4,k4,I4,S4,T4,N4,C4,E4];for(let e of A4)YI(e);J().prototype.abs=function(){return this.throwIfDisposed(),Lt(this)};J().prototype.acos=function(){return this.throwIfDisposed(),qx(this)};J().prototype.acosh=function(){return this.throwIfDisposed(),Kx(this)};J().prototype.add=function(e){return this.throwIfDisposed(),Y(this,e)};J().prototype.all=function(e,t){return this.throwIfDisposed(),Gm(this,e,t)};J().prototype.any=function(e,t){return this.throwIfDisposed(),Yp(this,e,t)};J().prototype.argMax=function(e){return this.throwIfDisposed(),ri(this,e)};J().prototype.argMin=function(e){return this.throwIfDisposed(),Xx(this,e)};J().prototype.asScalar=function(){return this.throwIfDisposed(),$(this.size===1,()=>"The array must have only 1 element."),B(this,[])};J().prototype.asType=function(e){return this.throwIfDisposed(),oe(this,e)};J().prototype.as1D=function(){return this.throwIfDisposed(),B(this,[this.size])};J().prototype.as2D=function(e,t){return this.throwIfDisposed(),B(this,[e,t])};J().prototype.as3D=function(e,t,n){return this.throwIfDisposed(),B(this,[e,t,n])};J().prototype.as4D=function(e,t,n,a){return this.throwIfDisposed(),B(this,[e,t,n,a])};J().prototype.as5D=function(e,t,n,a,r){return this.throwIfDisposed(),B(this,[e,t,n,a,r])};J().prototype.asin=function(){return this.throwIfDisposed(),Yx(this)};J().prototype.asinh=function(){return this.throwIfDisposed(),Zx(this)};J().prototype.atan=function(){return this.throwIfDisposed(),Jx(this)};J().prototype.atan2=function(e){return this.throwIfDisposed(),Qx(this,e)};J().prototype.atanh=function(){return this.throwIfDisposed(),ev(this)};J().prototype.avgPool=function(e,t,n,a){return this.throwIfDisposed(),ga(this,e,t,n,a)};J().prototype.batchToSpaceND=function(e,t){return this.throwIfDisposed(),Rc(this,e,t)};J().prototype.batchNorm=function(e,t,n,a,r){return this.throwIfDisposed(),ws(this,e,t,n,a,r)};J().prototype.broadcastTo=function(e){return this.throwIfDisposed(),Xs(this,e)};J().prototype.cast=function(e){return this.throwIfDisposed(),oe(this,e)};J().prototype.ceil=function(){return this.throwIfDisposed(),ov(this)};J().prototype.clipByValue=function(e,t){return this.throwIfDisposed(),Qt(this,e,t)};J().prototype.concat=function(e,t){return this.throwIfDisposed(),e instanceof Te&&(e=[e]),Ze([this,...e],t)};J().prototype.conv1d=function(e,t,n,a,r,s){return this.throwIfDisposed(),Hm(this,e,t,n,a,r,s)};J().prototype.conv2dTranspose=function(e,t,n,a,r){return this.throwIfDisposed(),jm(this,e,t,n,a,r)};J().prototype.conv2d=function(e,t,n,a,r,s){return this.throwIfDisposed(),$t(this,e,t,n,a,r,s)};J().prototype.cos=function(){return this.throwIfDisposed(),Mc(this)};J().prototype.cosh=function(){return this.throwIfDisposed(),qm(this)};J().prototype.cumprod=function(e,t,n){return this.throwIfDisposed(),Zp(this,e,t,n)};J().prototype.cumsum=function(e,t,n){return this.throwIfDisposed(),Km(this,e,t,n)};J().prototype.depthToSpace=function(e,t){return this.throwIfDisposed(),fv(this,e,t)};J().prototype.depthwiseConv2d=function(e,t,n,a,r,s){return this.throwIfDisposed(),ks(this,e,t,n,a,r,s)};J().prototype.dilation2d=function(e,t,n,a,r){return this.throwIfDisposed(),gv(this,e,t,n,a,r)};J().prototype.divNoNan=function(e){return this.throwIfDisposed(),bv(this,e)};J().prototype.div=function(e){return this.throwIfDisposed(),he(this,e)};J().prototype.dot=function(e){return this.throwIfDisposed(),yv(this,e)};J().prototype.elu=function(){return this.throwIfDisposed(),Pu(this)};J().prototype.equal=function(e){return this.throwIfDisposed(),Qn(this,e)};J().prototype.erf=function(){return this.throwIfDisposed(),xv(this)};J().prototype.euclideanNorm=function(e,t){return this.throwIfDisposed(),kv(this,e,t)};J().prototype.exp=function(){return this.throwIfDisposed(),fn(this)};J().prototype.expandDims=function(e){return this.throwIfDisposed(),hn(this,e)};J().prototype.expm1=function(){return this.throwIfDisposed(),Iv(this)};J().prototype.fft=function(){return this.throwIfDisposed(),Uc(this)};J().prototype.flatten=function(){return this.throwIfDisposed(),B(this,[this.size])};J().prototype.floor=function(){return this.throwIfDisposed(),Lu(this)};J().prototype.floorDiv=function(e){return this.throwIfDisposed(),Um(this,e)};J().prototype.gather=function(e,t){return this.throwIfDisposed(),zu(this,e,t)};J().prototype.greaterEqual=function(e){return this.throwIfDisposed(),Is(this,e)};J().prototype.greater=function(e){return this.throwIfDisposed(),Vn(this,e)};J().prototype.ifft=function(){return this.throwIfDisposed(),xl(this)};J().prototype.irfft=function(){return this.throwIfDisposed(),cf(this)};J().prototype.isFinite=function(){return this.throwIfDisposed(),Sv(this)};J().prototype.isInf=function(){return this.throwIfDisposed(),Tv(this)};J().prototype.isNaN=function(){return this.throwIfDisposed(),Nv(this)};J().prototype.leakyRelu=function(e){return this.throwIfDisposed(),Pc(this,e)};J().prototype.lessEqual=function(e){return this.throwIfDisposed(),Ss(this,e)};J().prototype.less=function(e){return this.throwIfDisposed(),Ym(this,e)};J().prototype.localResponseNormalization=function(e,t,n,a){return this.throwIfDisposed(),Cv(this,e,t,n,a)};J().prototype.logSigmoid=function(){return this.throwIfDisposed(),_v(this)};J().prototype.logSoftmax=function(e){return this.throwIfDisposed(),Jm(this,e)};J().prototype.logSumExp=function(e,t){return this.throwIfDisposed(),Qm(this,e,t)};J().prototype.log=function(){return this.throwIfDisposed(),ea(this)};J().prototype.log1p=function(){return this.throwIfDisposed(),Oc(this)};J().prototype.logicalAnd=function(e){return this.throwIfDisposed(),Aa(this,e)};J().prototype.logicalNot=function(){return this.throwIfDisposed(),Lc(this)};J().prototype.logicalOr=function(e){return this.throwIfDisposed(),ef(this,e)};J().prototype.logicalXor=function(e){return this.throwIfDisposed(),Ev(this,e)};J().prototype.matMul=function(e,t,n){return this.throwIfDisposed(),Ae(this,e,t,n)};J().prototype.maxPool=function(e,t,n,a){return this.throwIfDisposed(),Dt(this,e,t,n,a)};J().prototype.max=function(e,t){return this.throwIfDisposed(),_a(this,e,t)};J().prototype.maximum=function(e){return this.throwIfDisposed(),cr(this,e)};J().prototype.mean=function(e,t){return this.throwIfDisposed(),Nt(this,e,t)};J().prototype.min=function(e,t){return this.throwIfDisposed(),Jp(this,e,t)};J().prototype.minimum=function(e){return this.throwIfDisposed(),Bu(this,e)};J().prototype.mirrorPad=function(e,t){return this.throwIfDisposed(),$v(this,e,t)};J().prototype.mod=function(e){return this.throwIfDisposed(),Fv(this,e)};J().prototype.mul=function(e){return this.throwIfDisposed(),z(this,e)};J().prototype.neg=function(){return this.throwIfDisposed(),vt(this)};J().prototype.norm=function(e,t,n){return this.throwIfDisposed(),Ou(this,e,t,n)};J().prototype.notEqual=function(e){return this.throwIfDisposed(),oi(this,e)};J().prototype.oneHot=function(e,t=1,n=0){return this.throwIfDisposed(),fl(this,e,t,n)};J().prototype.onesLike=function(){return this.throwIfDisposed(),ta(this)};J().prototype.pad=function(e,t){return this.throwIfDisposed(),ba(this,e,t)};J().prototype.pool=function(e,t,n,a,r,s){return this.throwIfDisposed(),Dv(this,e,t,n,a,r,s)};J().prototype.pow=function(e){return this.throwIfDisposed(),$r(this,e)};J().prototype.prelu=function(e){return this.throwIfDisposed(),Wc(this,e)};J().prototype.prod=function(e,t){return this.throwIfDisposed(),Rv(this,e,t)};J().prototype.reciprocal=function(){return this.throwIfDisposed(),Ov(this)};J().prototype.relu=function(){return this.throwIfDisposed(),Xe(this)};J().prototype.relu6=function(){return this.throwIfDisposed(),af(this)};J().prototype.reshapeAs=function(e){return this.throwIfDisposed(),B(this,e.shape)};J().prototype.reshape=function(e){return this.throwIfDisposed(),B(this,e)};J().prototype.resizeBilinear=function(e,t,n){return this.throwIfDisposed(),zT(this,e,t,n)};J().prototype.resizeNearestNeighbor=function(e,t,n){return this.throwIfDisposed(),BT(this,e,t,n)};J().prototype.reverse=function(e){return this.throwIfDisposed(),fa(this,e)};J().prototype.rfft=function(){return this.throwIfDisposed(),Gc(this)};J().prototype.round=function(){return this.throwIfDisposed(),rf(this)};J().prototype.rsqrt=function(){return this.throwIfDisposed(),sf(this)};J().prototype.selu=function(){return this.throwIfDisposed(),of(this)};J().prototype.separableConv2d=function(e,t,n,a,r,s){return this.throwIfDisposed(),Ts(this,e,t,n,a,r,s)};J().prototype.sigmoid=function(){return this.throwIfDisposed(),ha(this)};J().prototype.sign=function(){return this.throwIfDisposed(),Lv(this)};J().prototype.sin=function(){return this.throwIfDisposed(),lf(this)};J().prototype.sinh=function(){return this.throwIfDisposed(),uf(this)};J().prototype.slice=function(e,t){return this.throwIfDisposed(),We(this,e,t)};J().prototype.softmax=function(e){return this.throwIfDisposed(),ja(this,e)};J().prototype.softplus=function(){return this.throwIfDisposed(),mo(this)};J().prototype.spaceToBatchND=function(e,t){return this.throwIfDisposed(),Bc(this,e,t)};J().prototype.split=function(e,t){return this.throwIfDisposed(),Ln(this,e,t)};J().prototype.sqrt=function(){return this.throwIfDisposed(),ln(this)};J().prototype.square=function(){return this.throwIfDisposed(),lt(this)};J().prototype.squaredDifference=function(e){return this.throwIfDisposed(),df(this,e)};J().prototype.squeeze=function(e){return this.throwIfDisposed(),Ns(this,e)};J().prototype.stack=function(e,t){this.throwIfDisposed();let n=e instanceof Te?[this,e]:[this,...e];return Ft(n,t)};J().prototype.step=function(e){return this.throwIfDisposed(),go(this,e)};J().prototype.stridedSlice=function(e,t,n,a,r,s,i,o){return this.throwIfDisposed(),zv(this,e,t,n,a,r,s,i,o)};J().prototype.sub=function(e){return this.throwIfDisposed(),pe(this,e)};J().prototype.sum=function(e,t){return this.throwIfDisposed(),fe(this,e,t)};J().prototype.tan=function(){return this.throwIfDisposed(),Bv(this)};J().prototype.tanh=function(){return this.throwIfDisposed(),si(this)};J().prototype.tile=function(e){return this.throwIfDisposed(),Pn(this,e)};J().prototype.toBool=function(){return this.throwIfDisposed(),oe(this,"bool")};J().prototype.toFloat=function(){return this.throwIfDisposed(),oe(this,"float32")};J().prototype.toInt=function(){return this.throwIfDisposed(),oe(this,"int32")};J().prototype.topk=function(e,t){return this.throwIfDisposed(),Wv(this,e,t)};J().prototype.transpose=function(e){return this.throwIfDisposed(),Ce(this,e)};J().prototype.unique=function(e){return this.throwIfDisposed(),Vv(this,e)};J().prototype.unsortedSegmentSum=function(e,t){return this.throwIfDisposed(),mf(this,e,t)};J().prototype.unstack=function(e){return this.throwIfDisposed(),ct(this,e)};J().prototype.where=function(e,t){return this.throwIfDisposed(),mn(e,this,t)};J().prototype.zerosLike=function(){return this.throwIfDisposed(),je(this)};var kr=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,kr.prototype)}},La=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,La.prototype)}},V=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,V.prototype)}},Re=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,Re.prototype)}},ZT=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,ZT.prototype)}},JT=class{constructor(e){this.maxEntries=e||100,this.cache=new Map}get(e){let t;return this.cache.has(e)&&(t=this.cache.get(e),this.cache.delete(e),this.cache.set(e,t)),t}put(e,t){if(this.cache.has(e))this.cache.delete(e);else if(this.cache.size>=this.maxEntries){let n=this.cache.keys().next().value;this.cache.delete(n)}this.cache.set(e,t)}getMaxEntries(){return this.maxEntries}setMaxEntries(e){if(e<0)throw new Error(`The maxEntries of LRU caches must be at least 0, but got ${e}.`);if(this.maxEntries>e)for(let t=0;tn.toUpperCase())}var Ia={};function Jv(e){if(e==null)return null;let t={};return t.className=e.getClassName(),t.config=e.getConfig(),t}function Wy(e){if(!(e==null||typeof e!="object"))if(Array.isArray(e))e.forEach(t=>Wy(t));else{let t=Object.keys(e);for(let n of t){let a=e[n];a!=null&&typeof a=="object"&&(!Array.isArray(a)&&a.type==="ndarray"&&typeof a.value=="number"?e[n]=a.value:Wy(a))}}}function jc(e,t={},n={},a="object",r=!1){if(typeof e=="string"){let s=e,i;if(s in n)i=n[s];else if(s in Ia)i=Ia[s];else if(i=t[s],i==null)throw new V(`Unknown ${a}: ${e}. This may be due to one of the following reasons: + ${s.shape}`);let i={data:a,indices:r,segmentIds:s};return O.runKernel(kc,i)}var Az=L({sparseSegmentSum_:Ez});function $z(e,t,n,a,r,s,i,o){let l=_(e,"data","stringNGrams","string");if(l.dtype!=="string")throw new Error("Data must be of datatype string");if(l.shape.length!==1)throw new Error(`Data must be a vector, saw: ${l.shape}`);let u=_(t,"dataSplits","stringNGrams");if(u.dtype!=="int32")throw new Error("Data splits must be of datatype int32");let p={separator:n,nGramWidths:a,leftPad:r,rightPad:s,padWidth:i,preserveShortSequences:o},d={data:l,dataSplits:u},c=O.runKernel(Sc,d,p);return{nGrams:c[0],nGramsSplits:c[1]}}var Fz=L({stringNGrams_:$z});function Dz(e,t,n=!0){let a=_(e,"input","stringSplit","string"),r=_(t,"delimiter","stringSplit","string");if(a.rank!==1)throw new Error(`Input should be Tensor1D but received shape ${a.shape}`);if(r.rank!==0)throw new Error(`Delimiter should be a scalar but received shape ${r.shape}`);let s={skipEmpty:n},i={input:a,delimiter:r},o=O.runKernel(Tc,i,s);return{indices:o[0],values:o[1],shape:o[2]}}var Rz=L({stringSplit_:Dz});function Mz(e,t){let n=_(e,"input","stringToHashBucketFast","string"),a={numBuckets:t};if(t<=0)throw new Error("Number of buckets must be at least 1");let r={input:n};return O.runKernel(Nc,r,a)}var Pz=L({stringToHashBucketFast_:Mz}),KT={fft:Hc,ifft:wl,rfft:jc,irfft:hf},XT={hammingWindow:mL,hannWindow:BT,frame:VT,stft:yL},za={flipLeftRight:kL,grayscaleToRGB:SL,resizeNearestNeighbor:qT,resizeBilinear:jT,rotateWithOffset:NL,cropAndResize:vL,nonMaxSuppression:_L,nonMaxSuppressionAsync:PL,nonMaxSuppressionWithScore:LL,nonMaxSuppressionWithScoreAsync:WL,nonMaxSuppressionPadded:VL,nonMaxSuppressionPaddedAsync:GL,threshold:XL,transform:ZL},Zv={bandPart:QL,gramSchmidt:tz,qr:az},YT={absoluteDifference:iz,computeWeightedLoss:Dr,cosineDistance:lz,hingeLoss:pz,huberLoss:dz,logLoss:mz,meanSquaredError:gz,sigmoidCrossEntropy:xz,softmaxCrossEntropy:kz},ZT={sparseFillEmptyRows:Sz,sparseReshape:Nz,sparseSegmentMean:_z,sparseSegmentSum:Az},JT={stringNGrams:Fz,stringSplit:Rz,stringToHashBucketFast:Pz},Rr=class extends US{minimize(e,t=!1,n){let{value:a,grads:r}=this.computeGradients(e,n);if(n!=null){let s=n.map(i=>({name:i.name,tensor:r[i.name]}));this.applyGradients(s)}else this.applyGradients(r);return _e(r),t?a:(a.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(e,t){return oT(e,t)}dispose(){this.iterations_!=null&&_e(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:"iter",tensor:ye(this.iterations_,"int32")}}async getWeights(){throw new Error("getWeights() is not implemented for this optimizer yet.")}async setWeights(e){throw new Error(`setWeights() is not implemented for this optimizer class ${this.getClassName()}`)}async extractIterations(e){return this.iterations_=(await e[0].tensor.data())[0],e.slice(1)}};Object.defineProperty(Rr,Symbol.hasInstance,{value:e=>e.minimize!=null&&e.computeGradients!=null&&e.applyGradients!=null});var kf=class extends Rr{constructor(e,t,n=null){super(),this.learningRate=e,this.rho=t,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],n==null&&(this.epsilon=O.backend.epsilon())}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=O.registeredVariables[t],r=!1;this.accumulatedGrads[n]==null&&(this.accumulatedGrads[n]={originalName:`${t}/accum_grad`,variable:P(()=>qe(a).variable(r))}),this.accumulatedUpdates[n]==null&&(this.accumulatedUpdates[n]={originalName:`${t}/accum_var`,variable:P(()=>qe(a).variable(r))});let s=Array.isArray(e)?e[n].tensor:e[t];if(s==null)return;let i=this.accumulatedGrads[n].variable,o=this.accumulatedUpdates[n].variable;P(()=>{let l=Y(z(i,this.rho),z(lt(s),1-this.rho)),u=z(he(un(Y(o,this.epsilon)),un(Y(i,this.epsilon))),s),p=Y(z(o,this.rho),z(lt(u),1-this.rho));i.assign(l),o.assign(p);let d=Y(z(u,-this.learningRate),a);a.assign(d)})}),this.incrementIterations()}dispose(){this.accumulatedUpdates!=null&&(_e(this.accumulatedGrads.map(e=>e.variable)),_e(this.accumulatedUpdates.map(e=>e.variable)))}async getWeights(){let e=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=e.length/2,n=!1;this.accumulatedGrads=e.slice(0,t).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})),this.accumulatedUpdates=e.slice(t,t*2).map(a=>({originalName:a.name,variable:a.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.rho,t.epsilon)}};kf.className="Adadelta";ws(kf);var If=class extends Rr{constructor(e,t=.1){super(),this.learningRate=e,this.initialAccumulatorValue=t,this.accumulatedGrads=[]}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=O.registeredVariables[t];this.accumulatedGrads[n]==null&&(this.accumulatedGrads[n]={originalName:`${t}/accumulator`,variable:P(()=>gn(a.shape,this.initialAccumulatorValue).variable(!1))});let r=Array.isArray(e)?e[n].tensor:e[t];if(r==null)return;let s=this.accumulatedGrads[n].variable;P(()=>{let i=Y(s,lt(r));s.assign(i);let o=Y(z(he(r,un(Y(i,O.backend.epsilon()))),-this.learningRate),a);a.assign(o)})}),this.incrementIterations()}dispose(){this.accumulatedGrads!=null&&_e(this.accumulatedGrads.map(e=>e.variable))}async getWeights(){return[await this.saveIterations()].concat(this.accumulatedGrads.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=!1;this.accumulatedGrads=e.map(n=>({originalName:n.name,variable:n.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}static fromConfig(e,t){return new e(t.learningRate,t.initialAccumulatorValue)}};If.className="Adagrad";ws(If);var Sf=class extends Rr{constructor(e,t,n,a=null){super(),this.learningRate=e,this.beta1=t,this.beta2=n,this.epsilon=a,this.accumulatedFirstMoment=[],this.accumulatedSecondMoment=[],P(()=>{this.accBeta1=ye(t).variable(),this.accBeta2=ye(n).variable()}),a==null&&(this.epsilon=O.backend.epsilon())}applyGradients(e){let t=Array.isArray(e)?e.map(n=>n.name):Object.keys(e);P(()=>{let n=pe(1,this.accBeta1),a=pe(1,this.accBeta2);t.forEach((r,s)=>{let i=O.registeredVariables[r],o=!1;this.accumulatedFirstMoment[s]==null&&(this.accumulatedFirstMoment[s]={originalName:`${r}/m`,variable:P(()=>qe(i).variable(o))}),this.accumulatedSecondMoment[s]==null&&(this.accumulatedSecondMoment[s]={originalName:`${r}/v`,variable:P(()=>qe(i).variable(o))});let l=Array.isArray(e)?e[s].tensor:e[r];if(l==null)return;let u=this.accumulatedFirstMoment[s].variable,p=this.accumulatedSecondMoment[s].variable,d=Y(z(u,this.beta1),z(l,1-this.beta1)),c=Y(z(p,this.beta2),z(lt(l),1-this.beta2)),h=he(d,n),m=he(c,a);u.assign(d),p.assign(c);let f=Y(z(he(h,Y(un(m),this.epsilon)),-this.learningRate),i);i.assign(f)}),this.accBeta1.assign(z(this.accBeta1,this.beta1)),this.accBeta2.assign(z(this.accBeta2,this.beta2))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.accBeta2.dispose(),this.accumulatedFirstMoment!=null&&_e(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedSecondMoment!=null&&_e(this.accumulatedSecondMoment.map(e=>e.variable))}async getWeights(){let e=[...this.accumulatedFirstMoment,...this.accumulatedSecondMoment];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e),P(()=>{this.accBeta1.assign($r(this.beta1,this.iterations_+1)),this.accBeta2.assign($r(this.beta2,this.iterations_+1))});let t=e.length/2,n=!1;this.accumulatedFirstMoment=e.slice(0,t).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})),this.accumulatedSecondMoment=e.slice(t,t*2).map(a=>({originalName:a.name,variable:a.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)}};Sf.className="Adam";ws(Sf);var Tf=class extends Rr{constructor(e,t,n,a=null,r=0){super(),this.learningRate=e,this.beta1=t,this.beta2=n,this.epsilon=a,this.decay=r,this.accumulatedFirstMoment=[],this.accumulatedWeightedInfNorm=[],P(()=>{this.iteration=ye(0).variable(),this.accBeta1=ye(t).variable()}),a==null&&(this.epsilon=O.backend.epsilon())}applyGradients(e){let t=Array.isArray(e)?e.map(n=>n.name):Object.keys(e);P(()=>{let n=pe(1,this.accBeta1),a=he(-this.learningRate,Y(z(this.iteration,this.decay),1));t.forEach((r,s)=>{let i=O.registeredVariables[r],o=!1;this.accumulatedFirstMoment[s]==null&&(this.accumulatedFirstMoment[s]={originalName:`${r}/m`,variable:qe(i).variable(o)}),this.accumulatedWeightedInfNorm[s]==null&&(this.accumulatedWeightedInfNorm[s]={originalName:`${r}/v`,variable:qe(i).variable(o)});let l=Array.isArray(e)?e[s].tensor:e[r];if(l==null)return;let u=this.accumulatedFirstMoment[s].variable,p=this.accumulatedWeightedInfNorm[s].variable,d=Y(z(u,this.beta1),z(l,1-this.beta1)),c=z(p,this.beta2),h=Lt(l),m=dr(c,h);u.assign(d),p.assign(m);let f=Y(z(he(a,n),he(d,Y(m,this.epsilon))),i);i.assign(f)}),this.iteration.assign(Y(this.iteration,1)),this.accBeta1.assign(z(this.accBeta1,this.beta1))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.iteration.dispose(),this.accumulatedFirstMoment!=null&&_e(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedWeightedInfNorm!=null&&_e(this.accumulatedWeightedInfNorm.map(e=>e.variable))}async getWeights(){throw new Error("getWeights() is not implemented for Adamax yet.")}async setWeights(e){throw new Error("setWeights() is not implemented for Adamax yet.")}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)}};Tf.className="Adamax";ws(Tf);var qc=class extends Rr{constructor(e){super(),this.learningRate=e,this.setLearningRate(e)}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=Array.isArray(e)?e[n].tensor:e[t];if(a==null)return;let r=O.registeredVariables[t];P(()=>{let s=Y(z(this.c,a),r);r.assign(s)})}),this.incrementIterations()}setLearningRate(e){this.learningRate=e,this.c!=null&&this.c.dispose(),this.c=Jt(ye(-e))}dispose(){this.c.dispose()}async getWeights(){return[await this.saveIterations()]}async setWeights(e){if(e=await this.extractIterations(e),e.length!==0)throw new Error("SGD optimizer does not have settable weights.")}getConfig(){return{learningRate:this.learningRate}}static fromConfig(e,t){return new e(t.learningRate)}};qc.className="SGD";ws(qc);var Nf=class extends qc{constructor(e,t,n=!1){super(e),this.learningRate=e,this.momentum=t,this.useNesterov=n,this.accumulations=[],this.m=ye(this.momentum)}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=O.registeredVariables[t];this.accumulations[n]==null&&(this.accumulations[n]={originalName:`${t}/momentum`,variable:P(()=>qe(a).variable(!1))});let r=this.accumulations[n].variable,s=Array.isArray(e)?e[n].tensor:e[t];s!=null&&P(()=>{let i,o=Y(z(this.m,r),s);this.useNesterov?i=Y(z(this.c,Y(s,z(o,this.m))),a):i=Y(z(this.c,o),a),r.assign(o),a.assign(i)})}),this.incrementIterations()}dispose(){this.m.dispose(),this.accumulations!=null&&_e(this.accumulations.map(e=>e.variable))}setMomentum(e){this.momentum=e}async getWeights(){return[await this.saveIterations()].concat(this.accumulations.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=!1;this.accumulations=e.map(n=>({originalName:n.name,variable:n.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}static fromConfig(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)}};Nf.className="Momentum";ws(Nf);var Cf=class extends Rr{constructor(e,t=.9,n=0,a=null,r=!1){if(super(),this.learningRate=e,this.decay=t,this.momentum=n,this.epsilon=a,this.accumulatedMeanSquares=[],this.accumulatedMoments=[],this.accumulatedMeanGrads=[],this.centered=r,a==null&&(this.epsilon=O.backend.epsilon()),e==null)throw new Error("learningRate for RMSPropOptimizer must be defined.")}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=O.registeredVariables[t],r=!1;this.accumulatedMeanSquares[n]==null&&(this.accumulatedMeanSquares[n]={originalName:`${t}/rms`,variable:P(()=>qe(a).variable(r))}),this.accumulatedMoments[n]==null&&(this.accumulatedMoments[n]={originalName:`${t}/momentum`,variable:P(()=>qe(a).variable(r))}),this.accumulatedMeanGrads[n]==null&&this.centered&&(this.accumulatedMeanGrads[n]={originalName:`${t}/mg`,variable:P(()=>qe(a).variable(r))});let s=Array.isArray(e)?e[n].tensor:e[t];if(s==null)return;let i=this.accumulatedMeanSquares[n].variable,o=this.accumulatedMoments[n].variable;P(()=>{let l=Y(z(i,this.decay),z(lt(s),1-this.decay));if(this.centered){let u=this.accumulatedMeanGrads[n].variable,p=Y(z(u,this.decay),z(s,1-this.decay)),d=he(z(s,this.learningRate),un(pe(l,Y(lt(p),this.epsilon)))),c=Y(z(o,this.momentum),d);i.assign(l),u.assign(p),o.assign(c);let h=pe(a,c);a.assign(h)}else{let u=Y(z(i,this.decay),z(lt(s),1-this.decay)),p=Y(z(o,this.momentum),he(z(s,this.learningRate),un(Y(u,this.epsilon))));i.assign(u),o.assign(p);let d=pe(a,p);a.assign(d)}})}),this.incrementIterations()}dispose(){this.accumulatedMeanSquares!=null&&_e(this.accumulatedMeanSquares.map(e=>e.variable)),this.accumulatedMeanGrads!=null&&this.centered&&_e(this.accumulatedMeanGrads.map(e=>e.variable)),this.accumulatedMoments!=null&&_e(this.accumulatedMoments.map(e=>e.variable))}async getWeights(){let e=[...this.accumulatedMeanSquares,...this.accumulatedMoments];return this.centered&&e.push(...this.accumulatedMeanGrads),[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=this.centered?e.length/3:e.length/2,n=!1;this.accumulatedMeanSquares=e.slice(0,t).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})),this.accumulatedMoments=e.slice(t,t*2).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})),this.centered&&(this.accumulatedMeanGrads=e.slice(t*2,t*3).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})))}getConfig(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}}static fromConfig(e,t){return new e(t.learningRate,t.decay,t.momentum,t.epsilon,t.centered)}};Cf.className="RMSProp";ws(Cf);var Yr=class{static sgd(e){return new qc(e)}static momentum(e,t,n=!1){return new Nf(e,t,n)}static rmsprop(e,t=.9,n=0,a=null,r=!1){return new Cf(e,t,n,a,r)}static adam(e=.001,t=.9,n=.999,a=null){return new Sf(e,t,n,a)}static adadelta(e=.001,t=.95,n=null){return new kf(e,t,n)}static adamax(e=.002,t=.9,n=.999,a=null,r=0){return new Tf(e,t,n,a,r)}static adagrad(e,t=.1){return new If(e,t)}},Ws={sgd:Yr.sgd,momentum:Yr.momentum,adadelta:Yr.adadelta,adagrad:Yr.adagrad,rmsprop:Yr.rmsprop,adamax:Yr.adamax,adam:Yr.adam},Oz=(()=>typeof requestAnimationFrame!="undefined"?requestAnimationFrame:typeof setImmediate!="undefined"?setImmediate:e=>e())();function Jv(){return new Promise(e=>Oz(()=>e()))}var N={};Ae(N,{ERF_A1:()=>Jz,ERF_A2:()=>Qz,ERF_A3:()=>eW,ERF_A4:()=>tW,ERF_A5:()=>nW,ERF_P:()=>Zz,PARALLELIZE_THRESHOLD:()=>Qv,RowPartitionType:()=>nr,SELU_SCALE:()=>eN,SELU_SCALEALPHA:()=>QT,applyActivation:()=>vf,assertAndGetBroadcastShape:()=>ut,assertAxesAreInnerMostDims:()=>VP,assertParamsConsistent:()=>Lz,assignToTypedArray:()=>lW,axesAreInnerMostDims:()=>kv,calculateShapes:()=>DS,checkEinsumDimSizes:()=>mW,checkPadOnDimRoundingMode:()=>Nn,combineLocations:()=>nT,combineRaggedTensorToTensorShapes:()=>Wz,complexWithEvenIndex:()=>sW,complexWithOddIndex:()=>iW,computeConv2DInfo:()=>Mc,computeConv3DInfo:()=>XS,computeDefaultPad:()=>av,computeDilation2DInfo:()=>UM,computeOptimalWindowSize:()=>Gz,computeOutAndReduceShapes:()=>aT,computeOutShape:()=>zz,computePool2DInfo:()=>KS,computePool3DInfo:()=>GM,convertConv2DDataFormat:()=>YS,decodeEinsumEquation:()=>dW,eitherStridesOrDilationsAreOne:()=>cr,expandShapeToKeepDim:()=>ii,exponent:()=>pW,exponents:()=>uW,fromStringArrayToUint8:()=>MW,fromUint8ToStringArray:()=>RW,getAxesPermutation:()=>rT,getBroadcastDims:()=>AS,getComplexWithIndex:()=>oW,getEinsumComputePath:()=>fW,getEinsumPermutation:()=>hW,getFusedBiasGradient:()=>xf,getFusedDyActivation:()=>yf,getImageCenter:()=>Hz,getInnerMostAxes:()=>UP,getPermuted:()=>qz,getRaggedRank:()=>Vz,getReductionAxes:()=>Wt,getReshaped:()=>jz,getReshapedPermuted:()=>Kz,getRowPartitionTypesHelper:()=>Bz,getSliceBeginCoords:()=>Xz,getSliceSize:()=>Yz,getSparseFillEmptyRowsIndicesDenseShapeMismatch:()=>xW,getSparseFillEmptyRowsNegativeIndexErrorMessage:()=>vW,getSparseFillEmptyRowsOutOfRangeIndexErrorMessage:()=>wW,getSparseReshapeEmptyTensorZeroOutputDimErrorMessage:()=>SW,getSparseReshapeInputOutputMismatchErrorMessage:()=>NW,getSparseReshapeInputOutputMultipleErrorMessage:()=>TW,getSparseReshapeMultipleNegativeOneOutputDimErrorMessage:()=>kW,getSparseReshapeNegativeOutputDimErrorMessage:()=>IW,getSparseSegmentReductionIndicesOutOfRangeErrorMessage:()=>AW,getSparseSegmentReductionNegativeSegmentIdsErrorMessage:()=>CW,getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage:()=>_W,getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage:()=>EW,getUndoAxesPermutation:()=>Iv,isIdentityPermutation:()=>gW,log:()=>iD,mergeRealAndImagArrays:()=>aW,prepareAndValidate:()=>FS,prepareSplitSize:()=>yW,segment_util:()=>tN,shouldFuse:()=>wf,slice_util:()=>jt,splitRealAndImagArrays:()=>rW,tupleValuesAreOne:()=>os,upcastType:()=>fa,validateDefaultValueShape:()=>Uz,validateInput:()=>jx,validateUpdateShape:()=>Hx,warn:()=>Jr});function Lz(e,t){let n=e[0].length;e.forEach((r,s)=>{$(r.length===n,()=>`Error in concat${n}D: rank of tensors[${s}] must be the same as the rank of the rest (${n})`)}),$(t>=0&&t`Error in concat${n}D: axis must be between 0 and ${n-1}.`);let a=e[0];e.forEach((r,s)=>{for(let i=0;i`Error in concat${n}D: Shape of tensors[${s}] (${r}) does not match the shape of the rest (${a}) along the non-concatenated axis ${s}.`)})}function zz(e,t){let n=e[0].slice();for(let a=1;a=0)if(o>=0){if(o!==s)throw new Error(`rt input.shape and shape=${t} are incompatible: rt input.shape[${r+e}] = ${s} but shape[${r+e}] = ${o}`)}else a[i]=s}return a}function Bz(e){let t={FIRST_DIM_SIZE:nr.FIRST_DIM_SIZE,VALUE_ROWIDS:nr.VALUE_ROWIDS,ROW_LENGTHS:nr.ROW_LENGTHS,ROW_SPLITS:nr.ROW_SPLITS,ROW_LIMITS:nr.ROW_LIMITS,ROW_STARTS:nr.ROW_STARTS},n=[];for(let a of e)if(a in t)n.push(t[a]);else break;return n}function Vz(e){return e.length===0?0:e[0]===nr.FIRST_DIM_SIZE?e.length-1:e.length}function Uz(e,t){if(e==null||t==null)return;let n=e.length,a=t.length;if(n>=a)throw new Error(`defaultValue.shape=${e} and ragged tensor flatValues.shape=${t}, are incompatible: defaultValue.rank = ${n} must be less than ragged tensor input flatValues.rank = ${a})`);for(let r=0;r=0&&i>=0&&s!==1&&s!==i)throw new Error(`defaultValue.shape=${e}, and ragged tensor input flatValues.shape=${t} are incompatible: defaultValue.shape[${r-e.length}] = ${s} but ragged tensor input.flatValues.shape[${r-e.length}] = ${i}`)}}var Qv=30;function Gz(e){return e<=Qv?e:Eh(e,Math.floor(Math.sqrt(e)))}function Hz(e,t,n){let a=n*(typeof e=="number"?e:e[0]),r=t*(typeof e=="number"?e:e[1]);return[a,r]}function jz(e,t,n,a=!0){let r=[];if(a)r=r.concat(t.slice(0)),r.push(e[0]/n),r=r.concat(e.slice(1));else{r=r.concat(e[0]);let s=t.length;for(let i=0;i=t*2+1||i%2===1?s.push(i):r.push(i);a.push(...r),a.push(0),a.push(...s)}return a}function Kz(e,t,n,a=!0){let r=[];a?r.push(e[0]/n):r.push(e[0]*n);for(let s=1;s/g,vk=",",wk="...";function dW(e,t){e=e.replace(/\s/g,"");let n=(e.length-e.replace(cW,"").length)/by.length;if(n<1)throw new Error("Equations without an arrow are not supported.");if(n>1)throw new Error(`Equation must contain exactly one arrow ("${by}").`);let[a,r]=e.split(by);$(a.indexOf(wk)===-1,()=>`The ellipsis notation ("${wk}") is not supported yet.`);let s=a.split(vk),i=s.length;if(t!==i)throw new Error(`Expected ${i} input tensors, received ${t}`);if(i>2)throw new Error("Support for more than 2 input tensors is not implemented yet.");let o=[];for(let c=0;cm.indexOf(h)!==-1))throw new Error(`Output subscripts contain the label ${h} not present in the input subscripts.`);o.indexOf(h)===-1&&o.push(h)}for(let c=0;cr!==-1),{permutationIndices:n,expandDims:a}}function mW(e,t,n){let a=new Array(e);for(let r=0;r`Expected dimension ${a[t[r][i]]} at axis ${i} of input shaped ${JSON.stringify(s)}, but got dimension ${s[i]}`)}}function fW(e,t){let n=e,a=[],r=0;e.length===0&&n.push(-1),r=e.length+1;for(let i=0;it===n)}function bW(e,t){let n=[];for(let a=0;a"Number of splits must evenly divide the axis."),a=new Array(t).fill(e.shape[n]/t);else{let r=t.reduce((i,o)=>(o===-1&&(i+=1),i),0);$(r<=1,()=>"There should be only one negative value in split array.");let s=t.indexOf(-1);if(s!==-1){let i=t.reduce((o,l)=>l>0?o+l:o);t[s]=e.shape[n]-i}$(e.shape[n]===t.reduce((i,o)=>i+o),()=>"The sum of sizes must match the size of the axis dimension."),a=t}return a}function xW(e){return`Received SparseTensor with denseShape[0] = 0 but + indices.shape[0] = ${e}`}function vW(e,t){return`indices(${e}, 0) is invalid: ${t} < 0`}function wW(e,t,n){return`indices(${e}, 0) is invalid: ${t} >= ${n}`}function kW(e,t){return`only one output dimension may be -1, not both ${e} and ${t}`}function IW(e,t){return`size ${e} must be non-negative, not ${t}`}function SW(){return"reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero"}function TW(e,t){let n=mt(e),a=mt(t);return`Input to reshape is a SparseTensor with ${n} + dense values, but the requested shape requires a multiple of ${a}. inputShape=${e} outputShape= ${t}`}function NW(e,t){let n=mt(e),a=mt(t);return`Input to reshape is a tensor with ${n} dense values, but the requested shape has ${a}. inputShape=${e} outputShape=${t}`}function CW(){return"segment ids must be >= 0"}function _W(){return"segment ids are not increasing"}function EW(e,t){return`Segment id ${e} out of range [0, ${t}), possibly because segmentIds input is not sorted.`}function AW(e,t,n){return`Bad: indices[${e}] == ${t} out of range [0, ${n})`}var tN={};Ae(tN,{collectGatherOpShapeInfo:()=>DW,computeOutShape:()=>FW,segOpComputeOptimalWindowSize:()=>$W});function $W(e,t){let n=!1,a;for(e<=Qv?(a=e,n=!0):a=Eh(e,Math.floor(Math.sqrt(e)));!n;)a>t||a===e?n=!0:a=Eh(e,a+1);return a}function FW(e,t,n){let a=[],r=e.length;for(let s=0;sr))throw new Error(`Expect batchDims in the range of [-${r}, ${r}], but got ${a}`);if(a<0&&(a+=r),a>s)throw new Error(`batchDims (${a}) must be less than rank(x) ( + ${s}).`);if(nMh(t))}catch(t){throw new Error(`Failed to decode encoded string bytes into utf-8, error: ${t}`)}}function MW(e){return e.map(t=>Ac(t))}var hr={};Ae(hr,{nonMaxSuppressionV3Impl:()=>UT,nonMaxSuppressionV4Impl:()=>GT,nonMaxSuppressionV5Impl:()=>HT,whereImpl:()=>FT});var nN={kernelName:Dl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,go(oe(n,"float32"),-1))}}},PW={kernelName:Rl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=lt(oe(n,"float32")),r=un(pe(ye(1),a));return vt(he(e,r))}}}},OW={kernelName:Ml,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=un(pe(lt(oe(n,"float32")),1));return he(e,a)}}}},LW={kernelName:gs,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=ut(n.shape,a.shape);return{a:()=>{let s=e,i=Wt(n.shape,r);return i.length>0&&(s=fe(s,i)),W(s,n.shape)},b:()=>{let s=e,i=Wt(a.shape,r);return i.length>0&&(s=fe(s,i)),W(s,a.shape)}}}},zW={kernelName:fi,saveAllInputs:!0,gradFunc:(e,t)=>{let n={};return t.forEach((a,r)=>{n[r]=()=>e.clone()}),n}},WW={kernelName:gi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>qe(n)}}},BW={kernelName:cc,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>qe(n)}}},VW={kernelName:Ll,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,un(pe(ye(1),lt(oe(n,"float32")))))}}},UW={kernelName:zl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=un(Y(ye(1),lt(oe(n,"float32"))));return he(e,a)}}}},GW={kernelName:Vl,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=ut(n.shape,a.shape);return{a:()=>{let s=Y(lt(n),lt(a)),i=z(e,he(a,s)),o=Wt(n.shape,r);return o.length>0&&(i=fe(i,o)),W(i,n.shape)},b:()=>{let s=Y(lt(n),lt(a)),i=vt(z(e,he(n,s))),o=Wt(a.shape,r);return o.length>0&&(i=fe(i,o)),W(i,a.shape)}}}},HW={kernelName:Wl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,Y(lt(oe(n,"float32")),1))}}},jW={kernelName:Bl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,pe(ye(1),lt(oe(n,"float32"))))}}};function qW(e,t,n,a,r,s){let i=_(e,"dy","avgPool3dGrad"),o=_(t,"input","avgPool3dGrad"),l=i,u=o,p=!1;o.rank===4&&(p=!0,l=W(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]]),u=W(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]])),$(l.rank===5,()=>`Error in avgPool3dGrad: dy must be rank 5 but got rank ${l.rank}.`),$(u.rank===5,()=>`Error in avgPool3dGrad: input must be rank 5 but got rank ${u.rank}.`),Nn("avgPool3dGrad",r,s);let d={dy:l,input:u},c={filterSize:n,strides:a,pad:r,dimRoundingMode:s},h=O.runKernel(cm,d,c);return p?W(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}var KW=L({avgPool3dGrad_:qW}),XW={kernelName:dc,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{filterSize:r,strides:s,pad:i,dimRoundingMode:o}=n;return{x:()=>KW(e,a,r,s,i,o)}}};function YW(e,t,n,a,r){let s=_(e,"dy","avgPoolGrad"),i=_(t,"input","avgPoolGrad");$(i.rank===s.rank,()=>`Rank of input (${i.rank}) does not match rank of dy (${s.rank})`);let o=i,l=s,u=!1;i.rank===3&&(u=!0,o=W(i,[1,i.shape[0],i.shape[1],i.shape[2]]),l=W(s,[1,s.shape[0],s.shape[1],s.shape[2]])),$(l.rank===4,()=>`Error in avgPoolGrad: dy must be rank 4 but got rank ${l.rank}.`),$(o.rank===4,()=>`Error in avgPoolGrad: input must be rank 4 but got rank ${o.rank}.`);let p={dy:l,input:o},d={filterSize:n,strides:a,pad:r},c=O.runKernel(pm,p,d);return u?W(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var ZW=L({avgPoolGrad_:YW}),JW={kernelName:bi,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{filterSize:r,strides:s,pad:i}=n;return{x:()=>ZW(e,a,r,s,i)}}},QW={kernelName:yi,inputsToSave:["a","b"],gradFunc:(e,t,n)=>{let[a,r]=t,{transposeA:s,transposeB:i}=n;return!s&&!i?{a:()=>Fe(e,r,!1,!0),b:()=>Fe(a,e,!0,!1)}:!s&&i?{a:()=>Fe(e,r,!1,!1),b:()=>Fe(e,a,!0,!1)}:s&&!i?{a:()=>Fe(r,e,!1,!0),b:()=>Fe(a,e,!1,!1)}:{a:()=>Fe(r,e,!0,!0),b:()=>Fe(e,a,!0,!0)}}},eB={kernelName:Ul,gradFunc:(e,t,n)=>{let{blockShape:a,crops:r}=n;return{x:()=>Vc(e,a,r)}}},tB={kernelName:eS,gradFunc:(e,t,n)=>{let a=n,r=a.inputShape,s=a.shape,i=Array.from(s);for(let l=r.length-1;l>=0;l--)if(r[l]===s[l])i[l]=1;else if(r[l]!==1)throw new Error(`broadcastTo(): [${r}] cannot be broadcast to [${s}].`);let o=[];for(let l=0;l1&&o.push(l);return{x:()=>fe(e,o,!0)}}},nB={kernelName:xi,gradFunc:e=>({x:()=>e.clone()})},aB={kernelName:vi,gradFunc:e=>({x:()=>qe(e)})},rB={kernelName:bs,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{clipValueMin:r,clipValueMax:s}=n;return{x:()=>mn($a(Fr(a,r),Ss(a,s)),e,qe(e))}}},sB={kernelName:hc,inputsToSave:["x"],gradFunc:nN.gradFunc},iB={kernelName:Gl,saveAllInputs:!0,gradFunc:(e,t,n)=>{let a=t.map(o=>o.shape),{axis:r}=n,s=Fa(r,t[0].shape)[0],i=a.map(o=>o[s]);return zn(e,i,s).map(o=>()=>o)}},oB={kernelName:wi,inputsToSave:["x","filter"],gradFunc:(e,t,n)=>{let[a,r]=t,{dilations:s,strides:i,pad:o,dataFormat:l}=n;return $(os(s),()=>`Error in gradient of conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`),{x:()=>mv(a.shape,e,r,i,o,l),filter:()=>Xv(a,e,r.shape,i,o,l)}}},lB={kernelName:ki,inputsToSave:["dy","filter"],gradFunc:(e,t,n)=>{let[a,r]=t,{strides:s,pad:i,dataFormat:o,dimRoundingMode:l}=n;return{dy:()=>$t(e,r,s,i,o,1,l),filter:()=>Xv(e,a,r.shape,s,i,o,l)}}};function uB(e,t,n,a,r){let s=e;e.rank===4&&(s=W(e,[1,e.shape[0],e.shape[1],e.shape[2],e.shape[3]]));let i=t;i.rank===4&&(i=W(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]])),$(s.rank===5,()=>`Error in conv3dDerFilter: input must be rank 5, but got shape ${s.shape}.`),$(i.rank===5,()=>`Error in conv3dDerFilter: dy must be rank 5, but got shape ${i.shape}.`),$(n.length===5,()=>`Error in conv3dDerFilter: filterShape must be length 5, but got ${n}.`),$(s.shape[4]===n[3],()=>`Error in conv3dDerFilter: depth of input ${s.shape[4]}) must match input depth in filter (${n[3]}.`),$(i.shape[4]===n[4],()=>`Error in conv3dDerFilter: depth of dy (${i.shape[4]}) must match output depth for filter (${n[4]}).`);let o={x:s,dy:i},l={strides:a,pad:r,filterShape:n};return O.runKernel(gm,o,l)}var pB=L({conv3DBackpropFilter_:uB}),cB={kernelName:mc,inputsToSave:["x","filter"],gradFunc:(e,t,n)=>{let{dilations:a,strides:r,pad:s}=n;$(os(a),()=>`Error in gradient of conv3D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${a}'`);let[i,o]=t;return{x:()=>QS(i.shape,e,o,r,s),filter:()=>pB(i,e,o.shape,r,s)}}},dB={kernelName:Ii,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(vt(pf(oe(n,"float32"))),e)}}},hB={kernelName:Si,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(cf(oe(n,"float32")),e)}}},mB={kernelName:Ti,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{axis:r,exclusive:s,reverse:i}=n;return{x:()=>{let o=rT([r],a.rank),l=Ym(e,r,s,!i);return o!=null&&(l=Ee(l,o)),l}}}},fB={kernelName:Ni,inputsToSave:["x","filter"],gradFunc:(e,t,n)=>{let{dilations:a,strides:r,pad:s,dimRoundingMode:i}=n,o=a==null?[1,1]:a;$(os(o),()=>`Error in gradient of depthwiseConv2dNative: dilation rates greater than 1 are not yet supported. Got dilations '${o}'`);let[l,u]=t;return $(l.rank===4,()=>`Error in gradient of depthwiseConv2dNative: input must be rank 4, but got rank ${l.rank}.`),$(u.rank===4,()=>`Error in gradient of depthwiseConv2dNative: filter must be rank 4, but got rank ${u.rank}.`),$(l.shape[3]===u.shape[2],()=>`Error in gradient of depthwiseConv2d: number of input channels (${l.shape[3]}) must match the inChannels dimension in filter ${u.shape[2]}.`),$(cr(r,o),()=>`Error in gradient of depthwiseConv2d: Either strides or dilations must be 1. Got strides ${r} and dilations '${o}'.`),Nn("depthwiseConv2d",s,i),{x:()=>WT(l.shape,e,u,r,s,o,i),filter:()=>zT(l,e,u.shape,r,s,o,i)}}},gB={kernelName:fc,inputsToSave:["x","filter"],gradFunc:(e,t,n)=>{let[a,r]=t,s={x:a,filter:r,dy:e},i={x:a,filter:r,dy:e};return{x:()=>O.runKernel(Ah,s,n),filter:()=>O.runKernel($h,i,n)}}},bB={kernelName:_i,outputsToSave:[!0],gradFunc:(e,t)=>{let[n]=t,a={dy:e,y:n};return{x:()=>O.runKernel(Im,a)}}},yB={kernelName:Kl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t,a=z(fn(vt(lt(n))),2/Math.sqrt(Math.PI));return{x:()=>z(e,a)}}},xB={kernelName:Ei,outputsToSave:[!0],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,n)}}},vB={kernelName:Yl,inputsToSave:["input"],gradFunc:(e,t)=>{let[n]=t;return{input:()=>W(e,n.shape)}}},wB={kernelName:Zl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,fn(n))}}},kB={kernelName:Ai,gradFunc:e=>({x:()=>qe(e)})},IB={kernelName:$i,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=ut(n.shape,a.shape);return{a:()=>{let s=he(e,oe(a,"float32")),i=Wt(n.shape,r);return i.length>0?W(fe(s,i),n.shape):s},b:()=>{let s=z(e,oe(n,"float32")),i=Wt(a.shape,r);i.length>0&&(s=W(fe(s,i),a.shape));let o=lt(a);return vt(he(s,oe(o,"float32")))}}}},SB={kernelName:Fi,inputsToSave:["x","mean","variance","scale"],gradFunc:(e,t,n)=>{let{varianceEpsilon:a}=n,[r,s,i,o]=t,l=o==null?ye(1):o,u=Wt(s.shape,r.shape),p=[];if(s.rank===1){for(let f=0;fs.rank===1?W(z(z(e,Ln(W(h,[1,1,1,s.shape[0]]),p)),l),r.shape):W(z(z(e,h),l),r.shape),mean:()=>{let f=z(z(h,ye(-1)),c);return s.rank===1&&(f=fe(f,u)),W(f,s.shape)},variance:()=>{let f=z(z(m,d),c);return s.rank===1&&(f=fe(f,u)),W(f,s.shape)},scale:()=>{let f=z(d,h),g=z(e,f);return s.rank===1&&(g=fe(g,u)),W(g,s.shape)},offset:()=>{let f=e;return s.rank===1&&(f=fe(f,u)),W(f,s.shape)}}}},TB={kernelName:Ql,inputsToSave:["x","indices"],gradFunc:(e,t,n)=>{let[a,r]=t,{axis:s}=n,i=Fa(s,a.shape)[0];return{x:()=>{let o=a.shape,l=r.size,u=o.slice(0,i),p=u.length,d=o.slice(s,o.length).slice(1),c=d.length,h=kk(0,p),m=kk(p+1,p+1+c),f=Ik([u,[l],d]),g=W(e,f),b=W(r,[l]),y=Ik([[p],h,m]),x=Ee(g,y),w=gf(x,b,a.shape[i]),I=Iv(y);return w=Ee(w,I),w},indices:()=>r}}};function kk(e,t){let n=[];for(let a=e;a{let[n,a]=t;return{a:()=>qe(n),b:()=>qe(a)}}},CB={kernelName:Ri,gradFunc:e=>({x:()=>oe(e,"float32")})},_B={kernelName:nu,gradFunc:e=>({x:()=>qe(e)})},EB={kernelName:au,gradFunc:e=>({x:()=>qe(e)})},AB={kernelName:ru,gradFunc:e=>({x:()=>qe(e)})},$B={kernelName:Mi,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{alpha:r}=n,s=Cn(a,0);return{x:()=>mn(s,e,z(e,r))}}},FB={kernelName:ou,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,Y(n,1))}}},DB={kernelName:Pi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,oe(n,"float32"))}}},RB={kernelName:nS,inputsToSave:[],outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a]=t,{axis:r}=n;return{logits:()=>{let s=fn(a);return pe(e,z(fe(e,r,!0),s))}}}};function MB(e,t,n,a=5,r=1,s=1,i=.5){let o={x:e,y:t,dy:n},l={depthRadius:a,bias:r,alpha:s,beta:i};return O.runKernel(_m,o,l)}var PB=L({localResponseNormalizationBackprop_:MB}),OB={kernelName:bc,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a,r]=t,{depthRadius:s,bias:i,alpha:o,beta:l}=n;return{x:()=>PB(a,r,e,s,i,o,l)}}};function aN(e,t,n,a){return t.rankz(e,oe(ea(n,t),e.dtype))}}var Sk={kernelName:Oi,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let a=n,{reductionIndices:r}=a,s=t[0],i=t[1],o=Fa(r,s.shape),l=aN(e,i,s,o);return{x:()=>l.x()}}},LB={kernelName:Li,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t;return{a:()=>z(e,oe(Fr(n,a),"float32")),b:()=>z(e,oe(Jm(n,a),"float32"))}}};function zB(e,t,n,a,r,s,i){let o=_(e,"dy","maxPool3dGrad"),l=_(t,"input","maxPool3dGrad"),u=_(n,"output","maxPool3dGrad"),p=o,d=l,c=u,h=!1;l.rank===4&&(h=!0,p=W(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]]),d=W(l,[1,l.shape[0],l.shape[1],l.shape[2],l.shape[3]]),c=W(u,[1,u.shape[0],u.shape[1],u.shape[2],u.shape[3]])),$(p.rank===5,()=>`Error in maxPool3dGrad: dy must be rank 5 but got rank ${p.rank}.`),$(d.rank===5,()=>`Error in maxPool3dGrad: input must be rank 5 but got rank ${d.rank}.`),$(c.rank===5,()=>`Error in maxPool3dGrad: output must be rank 5 but got rank ${c.rank}.`),Nn("maxPool3dGrad",s,i);let m={dy:p,input:d,output:c},f={filterSize:a,strides:r,pad:s,dimRoundingMode:i},g=O.runKernel(Am,m,f);return h?W(g,[g.shape[1],g.shape[2],g.shape[3],g.shape[4]]):g}var WB=L({maxPool3dGrad_:zB}),BB={kernelName:yc,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a,r]=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=n;return{x:()=>WB(e,a,r,s,i,o,l)}}};function VB(e,t,n,a,r,s,i){let o=_(e,"dy","maxPoolGrad"),l=_(t,"input","maxPoolGrad"),u=_(n,"output","maxPoolGrad");$(l.rank===o.rank,()=>`Rank of input (${l.rank}) does not match rank of dy (${o.rank})`),$(o.rank===4,()=>`Error in maxPoolGrad: dy must be rank 4 but got rank ${o.rank}.`),$(l.rank===4,()=>`Error in maxPoolGrad: input must be rank 4 but got rank ${l.rank}.`),Nn("maxPoolGrad",s,i);let p={dy:o,input:l,output:u},d={filterSize:a,strides:r,pad:s,dimRoundingMode:i};return O.runKernel(Em,p,d)}var UB=L({maxPoolGrad_:VB}),GB={kernelName:zi,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a,r]=t,{filterSize:s,strides:i,pad:o}=n;return{x:()=>UB(e,a,r,s,i,o)}}},HB={kernelName:Wi,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{axis:r}=n,s=Fa(r,a.shape),i=aT(a.shape,s)[1],o=mt(i);return{x:()=>{let l=a.shape.slice();s.forEach(p=>{l[p]=1});let u=W(e,l);return he(z(u,Jn(a.shape,"float32")),o)}}}},jB={kernelName:Bi,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let a=n,{axis:r}=a,[s,i]=t,o=Fa(r,s.shape),l=aN(e,i,s,o);return{x:()=>l.x()}}},qB={kernelName:Vi,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t;return{a:()=>z(e,oe(Ss(n,a),"float32")),b:()=>z(e,oe(Cn(n,a),"float32"))}}},KB={kernelName:Ui,inputsToSave:["x"],gradFunc:(e,t,n)=>{let a=t[0],{paddings:r}=n,s=r.map(i=>i[0]);return{x:()=>Be(e,s,a.shape)}}},XB={kernelName:cu,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=ut(n.shape,a.shape);return{a:()=>{let s=Wt(n.shape,r);return s.length>0?W(fe(e,s),n.shape):e},b:()=>{let s=z(e,vt(Wu(he(n,a)))),i=Wt(a.shape,r);return i.length>0?W(fe(s,i),a.shape):s}}}},YB={kernelName:Gi,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=ut(n.shape,a.shape);return{a:()=>{let s=z(e,oe(a,"float32")),i=Wt(n.shape,r);return i.length>0?W(fe(s,i),n.shape):s},b:()=>{let s=z(e,oe(n,"float32")),i=Wt(a.shape,r);return i.length>0?W(fe(s,i),a.shape):s}}}},ZB={kernelName:du,gradFunc:e=>({x:()=>vt(e)})},JB={kernelName:Hi,inputsToSave:["indices"],gradFunc:(e,t)=>{let n=t[0];return{indices:()=>It(n.shape,"float32")}}},QB={kernelName:bu,gradFunc:e=>({x:()=>qe(e)})},e4={kernelName:yu,saveAllInputs:!0,gradFunc:(e,t,n)=>{let{axis:a}=n;return ct(e,a).map(r=>()=>r)}},Tk={kernelName:ji,inputsToSave:["x"],gradFunc:(e,t,n)=>{let a=t[0],{paddings:r}=n,s=r.map(i=>i[0]);return{x:()=>Be(e,s,a.shape)}}},t4={kernelName:qi,inputsToSave:["a","b"],outputsToSave:[!0],gradFunc:(e,t)=>{let[n,a,r]=t,s=n,i=a,o=ut(s.shape,i.shape);return{a:()=>{let l=oe(i,"float32"),u=z(e,z(l,$r(s,pe(l,ye(1))))),p=Wt(s.shape,o);return p.length>0&&(u=fe(u,p)),W(u,s.shape)},b:()=>{let l=Cn(s,0),u=mn(l,ta(s),qe(s)),p=z(e,z(r,u)),d=Wt(i.shape,o);return d.length>0&&(p=fe(p,d)),W(p,i.shape)}}}},n4={kernelName:Ki,inputsToSave:["x","alpha"],gradFunc:(e,t)=>{let[n,a]=t,r=Cn(n,0);return{x:()=>mn(r,e,z(e,a)),alpha:()=>{let s=mn(r,qe(e),z(e,n)),i=Wt(a.shape,e.shape);return i.length>0&&(s=fe(s,i)),W(s,a.shape)}}}};function a4(e,t,n){let a=e.shape.slice();a[n]=1;let r=W(t,a),s=ec(e,n,!0,!1),i=ec(e,n,!0,!0),o=z(s,i);return z(r,o)}function r4(e,t,n){let a=e.shape.length,r=a-n.length,s=N.getAxesPermutation(n,a),i=e;s!=null&&(i=Ee(e,s));let o=i.shape.slice(),l=o.splice(a-n.length,n.length).reduce((d,c)=>d*c,1);o.push(l);let u=i.reshape(o),p=a4(u,t,r);if(p=p.reshape(i.shape),s!=null){let d=N.getUndoAxesPermutation(s);p=Ee(p,d)}return p}var s4={kernelName:Xi,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{axis:r}=n,s=[];return r==null?s=a.shape.map((i,o)=>o):typeof r=="number"?s=[r]:s=r,{x:()=>r4(a,e,s)}}},i4={kernelName:Ci,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=ut(n.shape,a.shape);return{a:()=>{let s=he(e,oe(a,"float32")),i=Wt(n.shape,r);return i.length>0?W(fe(s,i),n.shape):s},b:()=>{let s=z(e,oe(n,"float32")),i=Wt(a.shape,r);i.length>0&&(s=W(fe(s,i),a.shape));let o=lt(a);return vt(he(s,oe(o,"float32")))}}}},o4={kernelName:xu,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,vt(lt(n)))}}},l4={kernelName:Qi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t,a=z(Ss(n,6),go(n));return{x:()=>z(e,oe(a,"float32"))}}},u4={kernelName:Yi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,oe(go(n),"float32"))}}},p4={kernelName:vu,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>W(e,n.shape)}}},c4={kernelName:Ji,inputsToSave:["images"],gradFunc:(e,t,n)=>{let[a]=t,r={dy:e,images:a};return{images:()=>O.runKernel(Lm,r,n)}}},d4={kernelName:Zi,inputsToSave:["images"],gradFunc:(e,t,n)=>{let[a]=t,r={dy:e,images:a};return{images:()=>O.runKernel(Om,r,n)}}},h4={kernelName:eo,gradFunc:(e,t,n)=>{let{dims:a}=n,r=Fa(a,e.shape);return{x:()=>ga(e,r)}}},m4={kernelName:to,gradFunc:e=>({x:()=>qe(e)})},f4={kernelName:no,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>vt(he(e,z($r(n,1.5),2)))}}},g4={kernelName:ku,inputsToSave:["condition"],gradFunc:(e,t)=>{let[n]=t;return{condition:()=>oe(qe(n),"float32"),t:()=>z(e,oe(n,e.dtype)),e:()=>z(e,oe(Wc(n),e.dtype))}}},b4={kernelName:Iu,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=Cn(n,ye(0)),r=ye(QT),s=ye(eN),i=z(e,s),o=z(z(e,r),fn(oe(n,"float32")));return mn(a,i,o)}}}},y4={kernelName:ro,outputsToSave:[!0],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,z(n,pe(ye(1),n)))}}},x4={kernelName:Nu,gradFunc:e=>({x:()=>qe(e)})},v4={kernelName:ao,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(Oc(oe(n,"float32")),e)}}},w4={kernelName:Tu,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(Xm(oe(n,"float32")),e)}}},k4={kernelName:Su,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{begin:r,size:s}=n,i=a.shape,[o,l]=VS(a,r,s),u=[];for(let p=0;pya(e,u)}}},I4={kernelName:oo,outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a]=t,{dim:r}=n,s=!0,i=z(e,a);return{logits:()=>pe(i,z(fe(i,[r],s),a))}}},S4={kernelName:Cu,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,ha(n))}}},Nk={kernelName:_u,gradFunc:(e,t,n)=>{let{blockShape:a,paddings:r}=n;return{x:()=>Pc(e,a,r)}}},Ck={kernelName:Eu,gradFunc:(e,t,n)=>{let{axis:a}=n;return{x:()=>Ze(e,a)}}},T4={kernelName:so,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,z(un(oe(n,"float32")),2))}}},N4={kernelName:Ic,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,z(oe(n,"float32"),2))}}},C4={kernelName:lo,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=ye(2);return{a:()=>z(e,z(r,pe(n,a))),b:()=>z(e,z(r,pe(a,n)))}}},_4={kernelName:xs,gradFunc:e=>({x:()=>qe(e)})},E4={kernelName:uo,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=ut(n.shape,a.shape);return{a:()=>{let s=e,i=Wt(n.shape,r);return i.length>0&&(s=fe(s,i)),W(s,n.shape)},b:()=>{let s=e,i=Wt(a.shape,r);return i.length>0&&(s=fe(s,i)),W(vt(s),a.shape)}}}},A4={kernelName:io,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,r=a.shape.slice(),{axis:s}=n;Fa(s,a.shape).forEach(l=>{r[l]=1});let i=W(e,r),o=z(i,Jn(a.shape,"float32"));return{x:()=>o}}},$4={kernelName:po,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,lt(Oc(n)))}}},F4={kernelName:co,outputsToSave:[!0],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(pe(ye(1),lt(n)),e)}}},D4={kernelName:ys,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{reps:r}=n;return{x:()=>{let s=qe(a);if(a.rank===1)for(let i=0;i{let a=n,{perm:r}=a,s=Iv(r);return{x:()=>Ee(e,s)}}},M4={kernelName:Ru,gradFunc:(e,t,n)=>{let a=n,{axis:r}=a;return{value:()=>Ft(e,r)}}},P4={kernelName:Cc,inputsToSave:["segmentIds"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>O4(e,n)}}};function O4(e,t){let n=dr(t,qe(t)),a=Bu(e,n),r=Fr(t,ye(0,"int32")),s=a.rank-r.rank;for(let o=0;o({x:()=>qe(e)})},z4=[nN,PW,OW,LW,zW,WW,BW,VW,UW,GW,HW,jW,XW,JW,QW,eB,tB,nB,aB,rB,sB,iB,lB,oB,cB,dB,hB,mB,fB,gB,i4,bB,yB,xB,vB,wB,IB,kB,SB,TB,NB,CB,_B,EB,AB,$B,FB,DB,RB,OB,Sk,Sk,LB,BB,GB,HB,jB,qB,KB,XB,YB,ZB,JB,QB,e4,Tk,Tk,t4,n4,s4,o4,l4,u4,p4,c4,d4,h4,m4,f4,g4,b4,y4,x4,v4,w4,k4,I4,S4,Nk,Nk,Ck,Ck,T4,C4,N4,_4,E4,A4,$4,F4,D4,R4,M4,P4,L4];for(let e of z4)aS(e);J().prototype.abs=function(){return this.throwIfDisposed(),Lt(this)};J().prototype.acos=function(){return this.throwIfDisposed(),Xx(this)};J().prototype.acosh=function(){return this.throwIfDisposed(),Yx(this)};J().prototype.add=function(e){return this.throwIfDisposed(),Y(this,e)};J().prototype.all=function(e,t){return this.throwIfDisposed(),jm(this,e,t)};J().prototype.any=function(e,t){return this.throwIfDisposed(),Qp(this,e,t)};J().prototype.argMax=function(e){return this.throwIfDisposed(),ri(this,e)};J().prototype.argMin=function(e){return this.throwIfDisposed(),Zx(this,e)};J().prototype.asScalar=function(){return this.throwIfDisposed(),$(this.size===1,()=>"The array must have only 1 element."),W(this,[])};J().prototype.asType=function(e){return this.throwIfDisposed(),oe(this,e)};J().prototype.as1D=function(){return this.throwIfDisposed(),W(this,[this.size])};J().prototype.as2D=function(e,t){return this.throwIfDisposed(),W(this,[e,t])};J().prototype.as3D=function(e,t,n){return this.throwIfDisposed(),W(this,[e,t,n])};J().prototype.as4D=function(e,t,n,a){return this.throwIfDisposed(),W(this,[e,t,n,a])};J().prototype.as5D=function(e,t,n,a,r){return this.throwIfDisposed(),W(this,[e,t,n,a,r])};J().prototype.asin=function(){return this.throwIfDisposed(),Jx(this)};J().prototype.asinh=function(){return this.throwIfDisposed(),Qx(this)};J().prototype.atan=function(){return this.throwIfDisposed(),ev(this)};J().prototype.atan2=function(e){return this.throwIfDisposed(),tv(this,e)};J().prototype.atanh=function(){return this.throwIfDisposed(),nv(this)};J().prototype.avgPool=function(e,t,n,a){return this.throwIfDisposed(),ba(this,e,t,n,a)};J().prototype.batchToSpaceND=function(e,t){return this.throwIfDisposed(),Pc(this,e,t)};J().prototype.batchNorm=function(e,t,n,a,r){return this.throwIfDisposed(),ks(this,e,t,n,a,r)};J().prototype.broadcastTo=function(e){return this.throwIfDisposed(),Xs(this,e)};J().prototype.cast=function(e){return this.throwIfDisposed(),oe(this,e)};J().prototype.ceil=function(){return this.throwIfDisposed(),uv(this)};J().prototype.clipByValue=function(e,t){return this.throwIfDisposed(),en(this,e,t)};J().prototype.concat=function(e,t){return this.throwIfDisposed(),e instanceof Te&&(e=[e]),Ze([this,...e],t)};J().prototype.conv1d=function(e,t,n,a,r,s){return this.throwIfDisposed(),qm(this,e,t,n,a,r,s)};J().prototype.conv2dTranspose=function(e,t,n,a,r){return this.throwIfDisposed(),Km(this,e,t,n,a,r)};J().prototype.conv2d=function(e,t,n,a,r,s){return this.throwIfDisposed(),$t(this,e,t,n,a,r,s)};J().prototype.cos=function(){return this.throwIfDisposed(),Oc(this)};J().prototype.cosh=function(){return this.throwIfDisposed(),Xm(this)};J().prototype.cumprod=function(e,t,n){return this.throwIfDisposed(),ec(this,e,t,n)};J().prototype.cumsum=function(e,t,n){return this.throwIfDisposed(),Ym(this,e,t,n)};J().prototype.depthToSpace=function(e,t){return this.throwIfDisposed(),bv(this,e,t)};J().prototype.depthwiseConv2d=function(e,t,n,a,r,s){return this.throwIfDisposed(),Is(this,e,t,n,a,r,s)};J().prototype.dilation2d=function(e,t,n,a,r){return this.throwIfDisposed(),yv(this,e,t,n,a,r)};J().prototype.divNoNan=function(e){return this.throwIfDisposed(),xv(this,e)};J().prototype.div=function(e){return this.throwIfDisposed(),he(this,e)};J().prototype.dot=function(e){return this.throwIfDisposed(),vv(this,e)};J().prototype.elu=function(){return this.throwIfDisposed(),Lu(this)};J().prototype.equal=function(e){return this.throwIfDisposed(),ea(this,e)};J().prototype.erf=function(){return this.throwIfDisposed(),wv(this)};J().prototype.euclideanNorm=function(e,t){return this.throwIfDisposed(),Sv(this,e,t)};J().prototype.exp=function(){return this.throwIfDisposed(),fn(this)};J().prototype.expandDims=function(e){return this.throwIfDisposed(),Zt(this,e)};J().prototype.expm1=function(){return this.throwIfDisposed(),Tv(this)};J().prototype.fft=function(){return this.throwIfDisposed(),Hc(this)};J().prototype.flatten=function(){return this.throwIfDisposed(),W(this,[this.size])};J().prototype.floor=function(){return this.throwIfDisposed(),Wu(this)};J().prototype.floorDiv=function(e){return this.throwIfDisposed(),Hm(this,e)};J().prototype.gather=function(e,t){return this.throwIfDisposed(),Bu(this,e,t)};J().prototype.greaterEqual=function(e){return this.throwIfDisposed(),Fr(this,e)};J().prototype.greater=function(e){return this.throwIfDisposed(),Cn(this,e)};J().prototype.ifft=function(){return this.throwIfDisposed(),wl(this)};J().prototype.irfft=function(){return this.throwIfDisposed(),hf(this)};J().prototype.isFinite=function(){return this.throwIfDisposed(),Nv(this)};J().prototype.isInf=function(){return this.throwIfDisposed(),Cv(this)};J().prototype.isNaN=function(){return this.throwIfDisposed(),_v(this)};J().prototype.leakyRelu=function(e){return this.throwIfDisposed(),Lc(this,e)};J().prototype.lessEqual=function(e){return this.throwIfDisposed(),Ss(this,e)};J().prototype.less=function(e){return this.throwIfDisposed(),Jm(this,e)};J().prototype.localResponseNormalization=function(e,t,n,a){return this.throwIfDisposed(),Ev(this,e,t,n,a)};J().prototype.logSigmoid=function(){return this.throwIfDisposed(),Av(this)};J().prototype.logSoftmax=function(e){return this.throwIfDisposed(),ef(this,e)};J().prototype.logSumExp=function(e,t){return this.throwIfDisposed(),tf(this,e,t)};J().prototype.log=function(){return this.throwIfDisposed(),ta(this)};J().prototype.log1p=function(){return this.throwIfDisposed(),zc(this)};J().prototype.logicalAnd=function(e){return this.throwIfDisposed(),$a(this,e)};J().prototype.logicalNot=function(){return this.throwIfDisposed(),Wc(this)};J().prototype.logicalOr=function(e){return this.throwIfDisposed(),nf(this,e)};J().prototype.logicalXor=function(e){return this.throwIfDisposed(),$v(this,e)};J().prototype.matMul=function(e,t,n){return this.throwIfDisposed(),Fe(this,e,t,n)};J().prototype.maxPool=function(e,t,n,a){return this.throwIfDisposed(),Dt(this,e,t,n,a)};J().prototype.max=function(e,t){return this.throwIfDisposed(),ma(this,e,t)};J().prototype.maximum=function(e){return this.throwIfDisposed(),dr(this,e)};J().prototype.mean=function(e,t){return this.throwIfDisposed(),Nt(this,e,t)};J().prototype.min=function(e,t){return this.throwIfDisposed(),yl(this,e,t)};J().prototype.minimum=function(e){return this.throwIfDisposed(),Vu(this,e)};J().prototype.mirrorPad=function(e,t){return this.throwIfDisposed(),Dv(this,e,t)};J().prototype.mod=function(e){return this.throwIfDisposed(),Rv(this,e)};J().prototype.mul=function(e){return this.throwIfDisposed(),z(this,e)};J().prototype.neg=function(){return this.throwIfDisposed(),vt(this)};J().prototype.norm=function(e,t,n){return this.throwIfDisposed(),zu(this,e,t,n)};J().prototype.notEqual=function(e){return this.throwIfDisposed(),oi(this,e)};J().prototype.oneHot=function(e,t=1,n=0){return this.throwIfDisposed(),gl(this,e,t,n)};J().prototype.onesLike=function(){return this.throwIfDisposed(),na(this)};J().prototype.pad=function(e,t){return this.throwIfDisposed(),ya(this,e,t)};J().prototype.pool=function(e,t,n,a,r,s){return this.throwIfDisposed(),Mv(this,e,t,n,a,r,s)};J().prototype.pow=function(e){return this.throwIfDisposed(),$r(this,e)};J().prototype.prelu=function(e){return this.throwIfDisposed(),Uc(this,e)};J().prototype.prod=function(e,t){return this.throwIfDisposed(),Pv(this,e,t)};J().prototype.reciprocal=function(){return this.throwIfDisposed(),zv(this)};J().prototype.relu=function(){return this.throwIfDisposed(),Xe(this)};J().prototype.relu6=function(){return this.throwIfDisposed(),sf(this)};J().prototype.reshapeAs=function(e){return this.throwIfDisposed(),W(this,e.shape)};J().prototype.reshape=function(e){return this.throwIfDisposed(),W(this,e)};J().prototype.resizeBilinear=function(e,t,n){return this.throwIfDisposed(),jT(this,e,t,n)};J().prototype.resizeNearestNeighbor=function(e,t,n){return this.throwIfDisposed(),qT(this,e,t,n)};J().prototype.reverse=function(e){return this.throwIfDisposed(),ga(this,e)};J().prototype.rfft=function(){return this.throwIfDisposed(),jc(this)};J().prototype.round=function(){return this.throwIfDisposed(),of(this)};J().prototype.rsqrt=function(){return this.throwIfDisposed(),lf(this)};J().prototype.selu=function(){return this.throwIfDisposed(),uf(this)};J().prototype.separableConv2d=function(e,t,n,a,r,s){return this.throwIfDisposed(),Ts(this,e,t,n,a,r,s)};J().prototype.sigmoid=function(){return this.throwIfDisposed(),ha(this)};J().prototype.sign=function(){return this.throwIfDisposed(),Wv(this)};J().prototype.sin=function(){return this.throwIfDisposed(),pf(this)};J().prototype.sinh=function(){return this.throwIfDisposed(),cf(this)};J().prototype.slice=function(e,t){return this.throwIfDisposed(),Be(this,e,t)};J().prototype.softmax=function(e){return this.throwIfDisposed(),Ka(this,e)};J().prototype.softplus=function(){return this.throwIfDisposed(),mo(this)};J().prototype.spaceToBatchND=function(e,t){return this.throwIfDisposed(),Vc(this,e,t)};J().prototype.split=function(e,t){return this.throwIfDisposed(),zn(this,e,t)};J().prototype.sqrt=function(){return this.throwIfDisposed(),un(this)};J().prototype.square=function(){return this.throwIfDisposed(),lt(this)};J().prototype.squaredDifference=function(e){return this.throwIfDisposed(),mf(this,e)};J().prototype.squeeze=function(e){return this.throwIfDisposed(),Ns(this,e)};J().prototype.stack=function(e,t){this.throwIfDisposed();let n=e instanceof Te?[this,e]:[this,...e];return Ft(n,t)};J().prototype.step=function(e){return this.throwIfDisposed(),go(this,e)};J().prototype.stridedSlice=function(e,t,n,a,r,s,i,o){return this.throwIfDisposed(),Bv(this,e,t,n,a,r,s,i,o)};J().prototype.sub=function(e){return this.throwIfDisposed(),pe(this,e)};J().prototype.sum=function(e,t){return this.throwIfDisposed(),fe(this,e,t)};J().prototype.tan=function(){return this.throwIfDisposed(),Vv(this)};J().prototype.tanh=function(){return this.throwIfDisposed(),si(this)};J().prototype.tile=function(e){return this.throwIfDisposed(),Ln(this,e)};J().prototype.toBool=function(){return this.throwIfDisposed(),oe(this,"bool")};J().prototype.toFloat=function(){return this.throwIfDisposed(),oe(this,"float32")};J().prototype.toInt=function(){return this.throwIfDisposed(),oe(this,"int32")};J().prototype.topk=function(e,t){return this.throwIfDisposed(),Uv(this,e,t)};J().prototype.transpose=function(e){return this.throwIfDisposed(),Ee(this,e)};J().prototype.unique=function(e){return this.throwIfDisposed(),Gv(this,e)};J().prototype.unsortedSegmentSum=function(e,t){return this.throwIfDisposed(),gf(this,e,t)};J().prototype.unstack=function(e){return this.throwIfDisposed(),ct(this,e)};J().prototype.where=function(e,t){return this.throwIfDisposed(),mn(e,this,t)};J().prototype.zerosLike=function(){return this.throwIfDisposed(),qe(this)};var Ir=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,Ir.prototype)}},Wa=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,Wa.prototype)}},V=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,V.prototype)}},Me=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,Me.prototype)}},rN=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,rN.prototype)}},sN=class{constructor(e){this.maxEntries=e||100,this.cache=new Map}get(e){let t;return this.cache.has(e)&&(t=this.cache.get(e),this.cache.delete(e),this.cache.set(e,t)),t}put(e,t){if(this.cache.has(e))this.cache.delete(e);else if(this.cache.size>=this.maxEntries){let n=this.cache.keys().next().value;this.cache.delete(n)}this.cache.set(e,t)}getMaxEntries(){return this.maxEntries}setMaxEntries(e){if(e<0)throw new Error(`The maxEntries of LRU caches must be at least 0, but got ${e}.`);if(this.maxEntries>e)for(let t=0;tn.toUpperCase())}var Sa={};function ew(e){if(e==null)return null;let t={};return t.className=e.getClassName(),t.config=e.getConfig(),t}function Uy(e){if(!(e==null||typeof e!="object"))if(Array.isArray(e))e.forEach(t=>Uy(t));else{let t=Object.keys(e);for(let n of t){let a=e[n];a!=null&&typeof a=="object"&&(!Array.isArray(a)&&a.type==="ndarray"&&typeof a.value=="number"?e[n]=a.value:Uy(a))}}}function Kc(e,t={},n={},a="object",r=!1){if(typeof e=="string"){let s=e,i;if(s in n)i=n[s];else if(s in Sa)i=Sa[s];else if(i=t[s],i==null)throw new V(`Unknown ${a}: ${e}. This may be due to one of the following reasons: 1. The ${a} is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code. 2. The custom ${a} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);return i}else{let s=e;if(s.className==null||s.config==null)throw new V(`${a}: Improper config format: ${JSON.stringify(s)}. -'className' and 'config' must set.`);let i=s.className,o,l;if(i in n?[o,l]=n[i]:i in Ia?[o,l]=Ia.className:i in t&&([o,l]=t[i]),o==null)throw new V(`Unknown ${a}: ${i}. This may be due to one of the following reasons: +'className' and 'config' must set.`);let i=s.className,o,l;if(i in n?[o,l]=n[i]:i in Sa?[o,l]=Sa.className:i in t&&([o,l]=t[i]),o==null)throw new V(`Unknown ${a}: ${i}. This may be due to one of the following reasons: 1. The ${a} is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code. -2. The custom ${a} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);if(l!=null){let u={};for(let h of Object.keys(Ia))u[h]=Ia[h];for(let h of Object.keys(n))u[h]=n[h];let p=s.config;p.customObjects=u;let d=Object.assign({},Ia);for(let h of Object.keys(n))Ia[h]=n[h];Wy(s.config);let c=l(o,s.config,n,r);return Ia=Object.assign({},d),c}else{let u=Object.assign({},Ia);for(let d of Object.keys(n))Ia[d]=n[d];let p=new o(s.config);return Ia=Object.assign({},u),p}}}function $4(e,t){return et?1:0}function ih(e,t){return-1*$4(e,t)}function ns(e){if(e==null)return e;let t=[];for(let n of e)t.indexOf(n)===-1&&t.push(n);return t}function F4(e){if(e==null)throw new V(`Invalid value in obj: ${JSON.stringify(e)}`);for(let t in e)if(e.hasOwnProperty(t))return!1;return!0}function bo(e,t,n){if(n!=null&&e.indexOf(n)<0)throw new V(`${n} is not a valid ${t}. Valid values are ${e} or null/undefined.`)}function Qv(e,t,n=0,a=1/0){return nr(n>=0),nr(a>=n),Array.isArray(e)&&e.length>=n&&e.length<=a&&e.every(r=>typeof r===t)}function Jt(e,t){Array.isArray(e)?(v.assert(e.length>0,()=>`${t} is unexpectedly an empty array.`),e.forEach((n,a)=>Jt(n,`element ${a+1} of ${t}`))):v.assert(Number.isInteger(e)&&e>0,()=>`Expected ${t} to be a positive integer, but got ${QT(e)}.`)}function QT(e){return e===null?"null":Array.isArray(e)?"["+e.map(t=>QT(t)).join(",")+"]":typeof e=="string"?`"${e}"`:`${e}`}function D4(e,t,n){let a=n!=null?n():v.now(),r;return(...s)=>{let i=n!=null?n():v.now();return i-a0){let n=`${e}_${t}`;return nl.set(n,1),n}else return e}var V4=new RegExp(/^[A-Za-z0-9][-A-Za-z0-9\._\/]*$/);function sN(e){return!!e.match(V4)}function U4(e){return e===parseInt(e.toString(),10)}function as(e,t,n){t==null&&(t=0),n==null&&(n=e.length);let a=1;for(let r=t;rt&&(t=a)}return t}function Ua(e,t){if(t{if(e.shape.length!==2)throw new V(`repeat() expects a rank-2 tensor, but received a rank-${e.shape.length} tensor.`);let n=Kc(e,1);return Vy(n,[1,t,1])})}function H4(e){let t=[as(e.shape)];return B(e,t)}function j4(e){if(e.rank<=1)throw new V(`batchFlatten requires a minimum rank of 2. Got rank: ${e.rank}.`);let t=[e.shape[0],as(e.shape,1)];return B(e,t)}function Zs(e,t,n){return P(()=>{switch(e.rank){case 1:return Vc(e,t,n);case 2:return pf(e,[t,0],[n,e.shape[1]]);case 3:return fo(e,[t,0,0],[n,e.shape[1],e.shape[2]]);case 4:return yl(e,[t,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3]]);case 5:return We(e,[t,0,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3],e.shape[4]]);case 6:return We(e,[t,0,0,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3],e.shape[4],e.shape[5]]);default:throw new V(`sliceAlongFirstAxis() received an unsupported tensor rank: ${e.rank}`)}})}function by(e,t,n){return P(()=>{switch(e.rank){case 1:return Vc(e,t,n);case 2:return pf(e,[0,t],[e.shape[0],n]);case 3:return fo(e,[0,0,t],[e.shape[0],e.shape[1],n]);case 4:return yl(e,[0,0,0,t],[e.shape[0],e.shape[1],e.shape[2],n]);default:throw new V(`sliceAlongLastAxis() received an unsupported tensor rank: ${e.rank}`)}})}function lh(e,t,n,a){return P(()=>{switch(e.rank){case 1:return Vc(e,t,n);case 2:switch(a){case 1:return Zs(e,t,n);case 2:return by(e,t,n);default:throw new V(`The axis is not within the rank of the tensor ${a}`)}case 3:switch(a){case 1:return Zs(e,t,n);case 2:return fo(e,[0,t,0],[e.shape[0],n,e.shape[2]]);case 3:return by(e,t,n);default:throw new V(`The axis is not within the rank of the tensor ${a}`)}case 4:switch(a){case 1:return Zs(e,t,n);case 2:return yl(e,[0,t,0,0],[e.shape[0],n,e.shape[2],e.shape[3]]);case 3:return yl(e,[0,0,t,0],[e.shape[0],e.shape[1],n,e.shape[3]]);case 4:return by(e,t,n);default:throw new V(`The axis is not within the rank of the tensor ${a}`)}default:throw new V(`sliceAlongLastAxis() received an unsupported tensor rank: ${e.rank}`)}})}function ew(e,t=-1){let n;return t<0&&(n=e[0].rank,n!==0?t=n:t=0),t===e[0].rank&&(t=-1),Ze(e,t)}function Nk(e,t){switch(e.rank){case 1:return lv([e,t]);case 2:return uv([e,t],0);case 3:return pv([e,t],0);case 4:return cv([e,t],0);default:throw new V(`concatAlongFirstAxis() received an unsupported tensor rank: ${e.rank}`)}}function Vy(e,t){if(Array.isArray(t)||(t=[t]),e.rank!==t.length)throw new V(`The length of input n (${t.length}) does not match the number of dimensions in input x (${e.rank})`);return Pn(e,t)}function Cf(e,t=0,n=1,a,r){return nf(e,t,n,a,r)}function ir(e,t,n,a){if(e.rank<2||t.rank<2)throw new Re(`dot requires both inputs to be rank >= 2 but got x shape = ${e.shape} and y shape = ${t.shape}`);if(t.rank>=3){let r=e.shape.slice(-1)[0],s=t.shape.slice(-2)[0];if(r!==s)throw new Re(`If rank y >= 3, then the second last dim of y must equal the last dim of x but got x shape = ${e.shape} and y shape = ${t.shape}`)}if(e.rank===2&&t.rank===2)return vl.matMul({a:e,b:t,transposeA:!1,transposeB:!1,bias:a?Uy(e.rank,a,Ga()):null,activation:n});{let r=e.shape.slice(),s=r.pop();e=B(e,[-1,s]);let i=t.shape.slice(),o=i.pop(),l=i.pop(),u=[...i,o],p=Array.from({length:t.rank},(m,f)=>f===0?t.rank-2:f<=t.rank-2?f-1:f);t=B(Ce(t,p),[l,-1]);let d=[...r,...u],c=!1,h=!1;return B(vl.matMul({a:e,b:t,transposeA:c,transposeB:h,bias:a?Uy(e.rank,a,Ga()):null,activation:n}),d)}}function iN(e,t,n){return P(()=>(Array.isArray(t)?t=Ke(t,"int32"):t=oe(t,"int32"),zu(e,t,n)))}function Xc(e){return z(e,e)}function Uy(e,t,n){let a=t.shape;if(t.rank!==1&&t.rank!==e)throw new V(`Unexpected bias dimensions: ${t.rank}; expected it to be 1 or ${e}`);if(e===5){if(n==="channelsFirst")return a.length===1?B(t,[1,a[0],1,1,1]):B(t,[1,a[3],a[0],a[1],a[2]]);if(n==="channelsLast")return a.length===1?B(t,[1,1,1,1,a[0]]):B(t,[1].concat(a))}else if(e===4){if(n==="channelsFirst")return a.length===1?B(t,[1,a[0],1,1]):B(t,[1,a[2],a[0],a[1]]);if(n==="channelsLast")return a.length===1?B(t,[1,1,1,a[0]]):B(t,[1].concat(a))}else if(e===3){if(n==="channelsFirst")return a.length===1?B(t,[1,a[0],1]):B(t,[1,a[1],a[0]]);if(n==="channelsLast")return a.length===1?B(t,[1,1,a[0]]):B(t,[1].concat(a))}else if(e<3)return t;throw new V(`Unsupported input rank by biasAdd: ${t.rank}`)}function qa(e,t,n){return P(()=>(n==null&&(n=Ga()),Rt(n),Y(e,Uy(e.rank,t,n))))}function q4(e,t=1){if(t!==1)throw new Re(`Support for alpha values other than 1 (${t}) is not implemented yet.`);return Pu(e)}function K4(e){return P(()=>he(e,Y(Lt(e),1)))}function oN(e,t,n,a){return P(()=>Hv(e,t,n,a))}function X4(e){return P(()=>{let t=Y(.5,z(.2,e));return Qt(t,0,1)})}function Yc(e,t,n=!1){return n?e():t()}var Y4=["fanIn","fanOut","fanAvg"],Z4=["normal","uniform","truncatedNormal"];function J4(e){bo(Y4,"FanMode",e)}function Q4(e){bo(Z4,"Distribution",e)}var Da=class extends ne.Serializable{fromConfigUsesCustomObjects(){return!1}getConfig(){return{}}},tw=class extends Da{apply(e,t){return It(e,t)}};tw.className="Zeros";ne.registerClass(tw);var _f=class extends Da{apply(e,t){return Zn(e,t)}};_f.className="Ones";ne.registerClass(_f);var nw=class extends Da{constructor(e){if(super(),typeof e!="object")throw new V(`Expected argument of type ConstantConfig but got ${e}`);if(e.value===void 0)throw new V(`config must have value set but got ${e}`);this.value=e.value}apply(e,t){return P(()=>z(ye(this.value),Zn(e,t)))}getConfig(){return{value:this.value}}};nw.className="Constant";ne.registerClass(nw);var aw=class extends Da{constructor(e){super(),this.DEFAULT_MINVAL=-.05,this.DEFAULT_MAXVAL=.05,this.minval=e.minval||this.DEFAULT_MINVAL,this.maxval=e.maxval||this.DEFAULT_MAXVAL,this.seed=e.seed}apply(e,t){return Wu(e,this.minval,this.maxval,t)}getConfig(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}}};aw.className="RandomUniform";ne.registerClass(aw);var rw=class extends Da{constructor(e){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=e.mean||this.DEFAULT_MEAN,this.stddev=e.stddev||this.DEFAULT_STDDEV,this.seed=e.seed}apply(e,t){if(t=t||"float32",t!=="float32"&&t!=="int32")throw new Re(`randomNormal does not support dType ${t}.`);return Cf(e,this.mean,this.stddev,t,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};rw.className="RandomNormal";ne.registerClass(rw);var sw=class extends Da{constructor(e){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=e.mean||this.DEFAULT_MEAN,this.stddev=e.stddev||this.DEFAULT_STDDEV,this.seed=e.seed}apply(e,t){if(t=t||"float32",t!=="float32"&&t!=="int32")throw new Re(`truncatedNormal does not support dType ${t}.`);return hf(e,this.mean,this.stddev,t,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};sw.className="TruncatedNormal";ne.registerClass(sw);var iw=class extends Da{constructor(e){super(),this.gain=e.gain!=null?e.gain:1}apply(e,t){return P(()=>{if(e.length!==2||e[0]!==e[1])throw new V("Identity matrix initializer can only be used for 2D square matrices.");return z(this.gain,Xm(e[0]))})}getConfig(){return{gain:this.gain}}};iw.className="Identity";ne.registerClass(iw);function eV(e,t="channelsLast"){let n,a;if(Rt(t),e.length===2)n=e[0],a=e[1];else if([3,4,5].indexOf(e.length)!==-1){if(t==="channelsFirst"){let r=as(e,2);n=e[1]*r,a=e[0]*r}else if(t==="channelsLast"){let r=as(e,0,e.length-2);n=e[e.length-2]*r,a=e[e.length-1]*r}}else{let r=as(e);n=Math.sqrt(r),a=Math.sqrt(r)}return[n,a]}var Bn=class extends Da{constructor(e){if(super(),e.scale<0)throw new V(`scale must be a positive float. Got: ${e.scale}`);this.scale=e.scale==null?1:e.scale,this.mode=e.mode==null?"fanIn":e.mode,J4(this.mode),this.distribution=e.distribution==null?"normal":e.distribution,Q4(this.distribution),this.seed=e.seed}apply(e,t){let n=eV(e),a=n[0],r=n[1],s=this.scale;if(this.mode==="fanIn"?s/=Math.max(1,a):this.mode==="fanOut"?s/=Math.max(1,r):s/=Math.max(1,(a+r)/2),this.distribution==="normal"){let i=Math.sqrt(s);if(t=t||"float32",t!=="float32"&&t!=="int32")throw new Re(`${this.getClassName()} does not support dType ${t}.`);return hf(e,0,i,t,this.seed)}else{let i=Math.sqrt(3*s);return Wu(e,-i,i,t)}}getConfig(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}}};Bn.className="VarianceScaling";ne.registerClass(Bn);var Ef=class extends Bn{constructor(e){super({scale:1,mode:"fanAvg",distribution:"uniform",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};Ef.className="GlorotUniform";ne.registerClass(Ef);var Af=class extends Bn{constructor(e){super({scale:1,mode:"fanAvg",distribution:"normal",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};Af.className="GlorotNormal";ne.registerClass(Af);var $f=class extends Bn{constructor(e){super({scale:2,mode:"fanIn",distribution:"normal",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};$f.className="HeNormal";ne.registerClass($f);var Ff=class extends Bn{constructor(e){super({scale:2,mode:"fanIn",distribution:"uniform",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};Ff.className="HeUniform";ne.registerClass(Ff);var Df=class extends Bn{constructor(e){super({scale:1,mode:"fanIn",distribution:"normal",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};Df.className="LeCunNormal";ne.registerClass(Df);var Rf=class extends Bn{constructor(e){super({scale:1,mode:"fanIn",distribution:"uniform",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};Rf.className="LeCunNormal";ne.registerClass(Rf);var ow=class extends Da{constructor(e){if(super(),this.DEFAULT_GAIN=1,this.gain=e.gain==null?this.DEFAULT_GAIN:e.gain,this.seed=e.seed,this.seed!=null)throw new Re("Random seed is not implemented for Orthogonal Initializer yet.")}apply(e,t){return P(()=>{if(e.length<2)throw new Re("Shape must be at least 2D.");e[0]*e[1]>2e3&&console.warn(`Orthogonal initializer is being called on a matrix with more than 2000 (${e[0]*e[1]}) elements: Slowness may result.`);let n=e[0]>e[1]?[e[1],e[0]]:e,a=Cf(n,0,1,"float32"),r=Xv.gramSchmidt(a);return e[0]>e[1]&&(r=Ce(r)),z(this.gain,r)})}getConfig(){return{gain:this.gain,seed:this.seed}}};ow.className="Orthogonal";ne.registerClass(ow);var Ck={constant:"Constant",glorotNormal:"GlorotNormal",glorotUniform:"GlorotUniform",heNormal:"HeNormal",heUniform:"HeUniform",identity:"Identity",leCunNormal:"LeCunNormal",leCunUniform:"LeCunUniform",ones:"Ones",orthogonal:"Orthogonal",randomNormal:"RandomNormal",randomUniform:"RandomUniform",truncatedNormal:"TruncatedNormal",varianceScaling:"VarianceScaling",zeros:"Zeros"};function _k(e,t={}){return jc(e,ne.SerializationMap.getMap().classNameMap,t,"initializer")}function Ct(e){return Jv(e)}function St(e){if(typeof e=="string"){let t=e in Ck?Ck[e]:e;if(t==="GlorotNormal")return new Af;if(t==="GlorotUniform")return new Ef;if(t==="HeNormal")return new $f;if(t==="HeUniform")return new Ff;if(t==="LeCunNormal")return new Df;if(t==="LeCunUniform")return new Rf;{let n={};return n.className=t,n.config={},_k(n)}}else return e instanceof Da?e:_k(e)}function Gy(e){return Array.isArray(e)&&Array.isArray(e[0])}function zh(e){return e.length===0?[]:Array.isArray(e[0])?e:[e]}function Me(e){let t;if(Array.isArray(e)){if(e.length!==1)throw new V(`Expected Tensor length to be 1; got ${e.length}`);t=e[0]}else t=e;return t}function at(e){if(Array.isArray(e)&&Array.isArray(e[0])){if(e.length===1)return e=e,e[0];throw new V(`Expected exactly 1 Shape; got ${e.length}`)}else return e}function Bh(e){let t=0;for(let n of e)n.shape.length===0?t+=1:t+=n.shape.reduce((a,r)=>a*r);return t}var Ek="Variable",lN=class{constructor(e,t="float32",n=Ek,a=!0,r=null){this.dtype=t==null?"float32":t,this.shape=e.shape,this.id=tN(),n=n==null?Ek:n,this.originalName=aN(n),this.name=rN(this.originalName),this.trainable_=a,this.constraint=r,this.val=Uv(e,this.trainable_,this.name,this.dtype)}read(){return this.assertNotDisposed(),this.val}write(e){return this.assertNotDisposed(),tV(this.val,e),this.val.id!==e.id&&(this.val.assign(e),this.constraint!=null&&this.val.assign(this.constraint.apply(this.val))),this}dispose(){this.assertNotDisposed(),this.val.dispose()}assertNotDisposed(){if(this.val.isDisposed)throw new Error(`LayersVariable ${this.name} is already disposed.`)}get trainable(){return this.trainable_}set trainable(e){this.trainable_=e,this.val.trainable=e}};function tV(e,t){if(e.shape.toString()!==t.shape.toString())throw new Error("Shape mismatch: "+JSON.stringify(e.shape)+" vs. "+JSON.stringify(t.shape))}function Hy(e){return e.map(t=>t.read())}function lw(e){e.forEach(t=>{t[0].write(t[1])})}var zt=class{constructor(e){this.dtype=e.dtype,this.shape=e.shape,e.shape!=null?this.ndim=e.shape.length:this.ndim=e.ndim,this.maxNDim=e.maxNDim,this.minNDim=e.minNDim,this.axes=e.axes||{}}},za=class{constructor(e,t,n,a,r,s,i){this.dtype=e,this.shape=t,this.sourceLayer=n,this.inputs=a,this.callArgs=r,this.outputTensorIndex=i,this.id=tN(),s!=null&&(this.originalName=aN(s),this.name=rN(this.originalName)),this.rank=t.length}},nV=0,Mf=class{constructor(e,t){this.callArgs=t,this.id=nV++,this.outboundLayer=e.outboundLayer,this.inboundLayers=e.inboundLayers,this.nodeIndices=e.nodeIndices,this.tensorIndices=e.tensorIndices,this.inputTensors=e.inputTensors,this.outputTensors=e.outputTensors,this.inputMasks=e.inputMasks,this.outputMasks=e.outputMasks,this.inputShapes=e.inputShapes,this.outputShapes=e.outputShapes;for(let n of e.inboundLayers)n!=null&&n.outboundNodes.push(this);e.outboundLayer.inboundNodes.push(this)}getConfig(){let e=[];for(let t of this.inboundLayers)t!=null?e.push(t.name):e.push(null);return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:e,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}}},aV=0,qe=class extends ne.Serializable{constructor(e={}){super(),this._callHook=null,this._addedWeightNames=[],this._stateful=!1,this.id=aV++,this.activityRegularizer=null,this.inputSpec=null,this.supportsMasking=!1,this._trainableWeights=[],this._nonTrainableWeights=[],this._losses=[],this._updates=[],this._built=!1,this.inboundNodes=[],this.outboundNodes=[];let t=e.name;if(!t){let n=this.getClassName();t=Ir(n)+"_"+Nf(n)}if(this.name=t,this.trainable_=e.trainable==null?!0:e.trainable,e.inputShape!=null||e.batchInputShape!=null){let n;if(e.batchInputShape!=null)n=e.batchInputShape;else if(e.inputShape!=null){let r=null;e.batchSize!=null&&(r=e.batchSize),n=[r].concat(e.inputShape)}this.batchInputShape=n;let a=e.dtype;a==null&&(a=e.inputDType),a==null&&(a="float32"),this.dtype=a}e.weights!=null?this.initialWeights=e.weights:this.initialWeights=null,this._refCount=null,this.fastWeightInitDuringBuild=!1}static nodeKey(e,t){return e.name+"_ib-"+t.toString()}getNodeAtIndex(e,t){if(this.inboundNodes.length===0)throw new La(`The layer has never been called and thus has no defined ${t}.`);if(this.inboundNodes.length<=e)throw new V(`Asked to get ${t} at node ${e}, but the layer has only ${this.inboundNodes.length} inbound nodes.`);return this.inboundNodes[e]}getInputAt(e){return Mn(this.getNodeAtIndex(e,"input").inputTensors)}getOutputAt(e){return Mn(this.getNodeAtIndex(e,"output").outputTensors)}get input(){if(this.inboundNodes.length>1)throw new kr(`Layer ${this.name} has multiple inbound nodes, hence the notion of "layer input" is ill-defined. Use \`getInputAt(nodeIndex)\` instead.`);if(this.inboundNodes.length===0)throw new kr(`Layer ${this.name} is not connected, no input to return.`);return Mn(this.getNodeAtIndex(0,"input").inputTensors)}get output(){if(this.inboundNodes.length===0)throw new kr(`Layer ${this.name} has no inbound nodes.`);if(this.inboundNodes.length>1)throw new kr(`Layer ${this.name} has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use \`getOutputAt(nodeIndex)\` instead.`);return Mn(this.getNodeAtIndex(0,"output").outputTensors)}get losses(){return this._losses}calculateLosses(){return this.losses.map(e=>e())}get updates(){return this._updates}get built(){return this._built}set built(e){this._built=e}get trainable(){return this.trainable_}set trainable(e){this._trainableWeights.forEach(t=>t.trainable=e),this.trainable_=e}get trainableWeights(){return this.trainable_?this._trainableWeights.filter(e=>e.trainable):[]}set trainableWeights(e){this._trainableWeights=e}get nonTrainableWeights(){return this.trainable?this._trainableWeights.filter(e=>!e.trainable).concat(this._nonTrainableWeights):this._trainableWeights.concat(this._nonTrainableWeights)}set nonTrainableWeights(e){this._nonTrainableWeights=e}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}get stateful(){return this._stateful}resetStates(){if(!this.stateful)throw new Error("Cannot call the resetStates() method of a non-stateful Layer object.")}assertInputCompatibility(e){if(e=xt(e),this.inputSpec==null||this.inputSpec.length===0)return;let t=xt(this.inputSpec);if(e.length!==t.length)throw new V(`Layer ${this.name} expects ${t.length} inputs, but it received ${e.length} input tensors. Input received: ${e}`);for(let n=0;nr.maxNDim)throw new V(`Input ${n} is incompatible with layer ${this.name}: expected max_ndim=${r.maxNDim}, found ndim=${s}`);if(r.minNDim!=null&&s=0?i[l]:i[i.length+l];if(u!=null&&[u,null].indexOf(p)===-1)throw new V(`Input ${n} is incompatible with layer ${this.name}: expected axis ${l} of input shape to have value ${u} but got shape ${i}.`)}}if(r.shape!=null)for(let i=0;i{if(!this.built){this.assertInputCompatibility(e);let s=[];for(let i of xt(e))s.push(i.shape);this.build(Mn(s)),this.built=!0,this.initialWeights&&this.setWeights(this.initialWeights),this._refCount===null&&r&&(this._refCount=1)}if(this.assertInputCompatibility(e),r){let s=this.call(e,t),i=xt(s),o=[];for(let l of i)n.indexOf(l)!==-1&&(l=l.clone()),o.push(l);if(s=Mn(o),this.activityRegularizer!=null)throw new Re("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return s}else{let s=rV(e),i=this.computeOutputShape(s),o,l=sV(e);if(this.warnOnIncompatibleInputShape(Array.isArray(e)?s[0]:s),i!=null&&i.length>0&&Array.isArray(i[0])?o=i.map((u,p)=>new za(l,u,this,xt(e),t,this.name,p)):o=new za(l,i,this,xt(e),t,this.name),this.addInboundNode(e,o,null,null,s,i,t),this._refCount++,this.activityRegularizer!=null)throw new Re("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return o}})}warnOnIncompatibleInputShape(e){if(this.batchInputShape!=null)if(e.length!==this.batchInputShape.length)console.warn(`The rank of the input tensor provided (shape: ${JSON.stringify(e)}) does not match that of the batchInputShape (${JSON.stringify(this.batchInputShape)}) of the layer ${this.name}`);else{let t=!1;this.batchInputShape.forEach((n,a)=>{n!=null&&e[a]!=null&&e[a]!==n&&(t=!0)}),t&&console.warn(`The shape of the input tensor (${JSON.stringify(e)}) does not match the expectation of layer ${this.name}: ${JSON.stringify(this.batchInputShape)}`)}}get outputShape(){if(this.inboundNodes==null||this.inboundNodes.length===0)throw new kr(`The layer ${this.name} has never been called and thus has no defined output shape.`);let e=[];for(let t of this.inboundNodes){let n=JSON.stringify(t.outputShapes);e.indexOf(n)===-1&&e.push(n)}if(e.length===1){let t=this.inboundNodes[0].outputShapes;return Array.isArray(t)&&Array.isArray(t[0])&&t.length===1?t[0]:t}else throw new kr(`The layer ${this.name} has multiple inbound nodes with different output shapes. Hence the notion of "output shape" is ill-defined for the layer.`)}countParams(){if(!this.built)throw new La(`You tried to call countParams() on ${this.name}, but the layer is not built yet. Build it first by calling build(batchInputShape).`);return Bh(this.weights)}build(e){this.built=!0}getWeights(e=!1){return Hy(e?this.trainableWeights:this.weights)}setWeights(e){P(()=>{let t=this.weights;if(t.length!==e.length)throw new V(`You called setWeights(weights) on layer "${this.name}" with a weight list of length ${e.length}, but the layer was expecting ${t.length} weights. Provided weights: ${e}...`);if(t.length===0)return;let n=[],a=Hy(t);for(let r=0;rr.apply(u.read())),s==null&&(s=!0),s?this._trainableWeights.push(u):this._nonTrainableWeights.push(u),u}setFastWeightInitDuringBuild(e){this.fastWeightInitDuringBuild=e}addLoss(e){e==null||Array.isArray(e)&&e.length===0||(e=xt(e),this._losses!==void 0&&this._losses!==null&&this.losses.push(...e))}computeOutputShape(e){return e}computeMask(e,t){if(!this.supportsMasking){if(t!=null)if(Array.isArray(t))t.forEach(n=>{if(n!=null)throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`)});else throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`);return null}return t}addInboundNode(e,t,n,a,r,s,i=null){let o=xt(e);t=xt(t),n=xt(n),a=xt(a),r=zh(r),s=zh(s);let l=[],u=[],p=[];for(let d of o)l.push(d.sourceLayer),u.push(d.nodeIndex),p.push(d.tensorIndex);new Mf({outboundLayer:this,inboundLayers:l,nodeIndices:u,tensorIndices:p,inputTensors:o,outputTensors:t,inputMasks:n,outputMasks:a,inputShapes:r,outputShapes:s},i);for(let d=0;de.dispose()),this.weights.length}assertNotDisposed(){if(this._refCount===0)throw new Error(`Layer '${this.name}' is already disposed.`)}dispose(){if(!this.built)throw new Error(`Cannot dispose Layer ${this.name} because it has not been built yet.`);if(this._refCount===null)throw new Error(`Cannot dispose Layer ${this.name} because it has not been used yet.`);this.assertNotDisposed();let e=0;return--this._refCount===0&&(e=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:e}}};function rV(e){e=xt(e);let t=[];for(let n of e)t.push(n.shape);return Mn(t)}function sV(e){return"float32"}function uN(e,t,n){if((t==null||n!=null&&n>0)&&(t=e.sourceLayer,n=e.nodeIndex),t.inboundNodes.length===0)return[e];{let a=t.inboundNodes[n];if(a.inboundLayers.length===0)return a.inputTensors;{let r=[];for(let s=0;sm.name),l=[],u=t.names();for(let m of o)u.indexOf(m)!==-1?l.push(t.getValue(m)):l.push(null);a!=null&&(a.maxNumTensors=-1/0,a.minNumTensors=1/0);let p=o.join(",")+"|"+t.names().sort().join(","),d=Wh.get(p),c;if(d==null){let m=lV(i,t);d=m.sorted,c=m.recipientCounts,Wh.put(p,d),Vh.put(p,c)}c={},r||Object.assign(c,Vh.get(p));let h=new js(t);for(let m=0;ma.maxNumTensors&&(a.maxNumTensors=A),A0,()=>"Expected at least one fetch, got none");let n=[],a={};if(e.length===1){let r=Ak(e[0],t);n=r.sorted,a=r.recipientMap}else{let r=new Set;for(let s of e){let{sorted:i,recipientMap:o}=Ak(s,t);for(let l of i)r.has(l.name)||(n.push(l),r.add(l.name));for(let l in o)a[l]==null&&(a[l]=new Set),o[l].forEach(u=>a[l].add(u))}}return{sorted:n,recipientCounts:uV(a)}}function uV(e){let t={};for(let n in e)t[n]=e[n].size;return t}function Ak(e,t){let n=new Set,a=[],r={};for(let o of t.names())n.add(o);let s=[],i=[];for(s.push(e);s.length>0;){let o=s[s.length-1];if(n.has(o.name)){s.pop();continue}let l=i[i.length-1]===s.length-1;if(o.inputs.length===0||l)s.pop(),a.push(o),n.add(o.name),l&&i.pop();else{i.push(s.length-1);for(let u of o.inputs)r[u.name]==null&&(r[u.name]=new Set),r[u.name].add(o.name),!n.has(u.name)&&s.push(u)}}return{sorted:a,recipientMap:r}}function pV(e){let t;if(e.sourceLayer.inboundNodes.length===1)t=e.sourceLayer.output;else{let n=null;for(let a=0;a100,oV);var cN={};_e(cN,{maxNorm:()=>dV,minMaxNorm:()=>fV,nonNeg:()=>mV,unitNorm:()=>hV});function uw(e,t){return P(()=>ln(fe(z(e,e),t,!0)))}var Zc=class extends ne.Serializable{getConfig(){return{}}},pw=class extends Zc{constructor(e){super(),this.defaultMaxValue=2,this.defaultAxis=0,this.maxValue=e.maxValue!=null?e.maxValue:this.defaultMaxValue,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return P(()=>{let t=uw(e,this.axis),n=Qt(t,0,this.maxValue);return z(e,he(n,Y(Gt(),t)))})}getConfig(){return{maxValue:this.maxValue,axis:this.axis}}};pw.className="MaxNorm";ne.registerClass(pw);var cw=class extends Zc{constructor(e){super(),this.defaultAxis=0,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return P(()=>he(e,Y(Gt(),uw(e,this.axis))))}getConfig(){return{axis:this.axis}}};cw.className="UnitNorm";ne.registerClass(cw);var dw=class extends Zc{apply(e){return Xe(e)}};dw.className="NonNeg";ne.registerClass(dw);var hw=class extends Zc{constructor(e){super(),this.defaultMinValue=0,this.defaultMaxValue=1,this.defaultRate=1,this.defaultAxis=0,this.minValue=e.minValue!=null?e.minValue:this.defaultMinValue,this.maxValue=e.maxValue!=null?e.maxValue:this.defaultMaxValue,this.rate=e.rate!=null?e.rate:this.defaultRate,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return P(()=>{let t=uw(e,this.axis),n=Y(z(this.rate,Qt(t,this.minValue,this.maxValue)),z(1-this.rate,t));return z(e,he(n,Y(Gt(),t)))})}getConfig(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}}};hw.className="MinMaxNorm";ne.registerClass(hw);var $k={maxNorm:"MaxNorm",minMaxNorm:"MinMaxNorm",nonNeg:"NonNeg",unitNorm:"UnitNorm"};function qt(e){return Jv(e)}function Fk(e,t={}){return jc(e,ne.SerializationMap.getMap().classNameMap,t,"constraint")}function Kt(e){if(e==null)return null;if(typeof e=="string"){let t={className:e in $k?$k[e]:e,config:{}};return Fk(t)}else return e instanceof Zc?e:Fk(e)}function dV(e){return new pw(e)}function hV(e){return new cw(e)}function mV(){return new dw}function fV(e){return new hw(e)}var dN={};_e(dN,{constant:()=>yV,glorotNormal:()=>TV,glorotUniform:()=>SV,heNormal:()=>NV,heUniform:()=>CV,identity:()=>kV,leCunNormal:()=>_V,leCunUniform:()=>EV,ones:()=>bV,orthogonal:()=>AV,randomNormal:()=>vV,randomUniform:()=>xV,truncatedNormal:()=>wV,varianceScaling:()=>IV,zeros:()=>gV});function gV(){return new tw}function bV(){return new _f}function yV(e){return new nw(e)}function xV(e){return new aw(e)}function vV(e){return new rw(e)}function wV(e){return new sw(e)}function kV(e){return new iw(e)}function IV(e){return new Bn(e)}function SV(e){return new Ef(e)}function TV(e){return new Af(e)}function NV(e){return new $f(e)}function CV(e){return new Ff(e)}function _V(e){return new Df(e)}function EV(e){return new Rf(e)}function AV(e){return new ow(e)}var hN={};_e(hN,{Layer:()=>qe,RNN:()=>hr,RNNCell:()=>nd,activation:()=>nG,add:()=>cG,alphaDropout:()=>KG,average:()=>dG,averagePooling1d:()=>w0,averagePooling2d:()=>k0,averagePooling3d:()=>I0,avgPool1d:()=>wG,avgPool2d:()=>IG,avgPool3d:()=>TG,avgPooling1d:()=>kG,avgPooling2d:()=>SG,avgPooling3d:()=>NG,batchNormalization:()=>yG,bidirectional:()=>BG,concatenate:()=>hG,conv1d:()=>qU,conv2d:()=>KU,conv2dTranspose:()=>XU,conv3d:()=>YU,conv3dTranspose:()=>ZU,convLstm2d:()=>PG,convLstm2dCell:()=>OG,cropping2D:()=>QU,dense:()=>aG,depthwiseConv2d:()=>tG,dot:()=>bG,dropout:()=>rG,elu:()=>WU,embedding:()=>pG,flatten:()=>iG,gaussianDropout:()=>qG,gaussianNoise:()=>jG,globalAveragePooling1d:()=>CG,globalAveragePooling2d:()=>_G,globalMaxPool1d:()=>VG,globalMaxPool2d:()=>UG,globalMaxPooling1d:()=>r2,globalMaxPooling2d:()=>s2,gru:()=>AG,gruCell:()=>$G,input:()=>$N,inputLayer:()=>BU,layerNormalization:()=>xG,leakyReLU:()=>UU,lstm:()=>FG,lstmCell:()=>DG,masking:()=>XG,maxPool1d:()=>GG,maxPool2d:()=>HG,maxPooling1d:()=>i2,maxPooling2d:()=>o2,maxPooling3d:()=>EG,maximum:()=>mG,minimum:()=>fG,multiply:()=>gG,permute:()=>uG,prelu:()=>GU,reLU:()=>VU,repeatVector:()=>oG,rescaling:()=>YG,reshape:()=>lG,rnn:()=>LG,separableConv2d:()=>JU,simpleRNN:()=>RG,simpleRNNCell:()=>MG,softmax:()=>HU,spatialDropout1d:()=>sG,stackedRNNCells:()=>zG,thresholdedReLU:()=>jU,timeDistributed:()=>WG,upSampling2d:()=>eG,zeroPadding2d:()=>vG});async function Yr(e){if(e==null)return;let t=[],n=[],a=[];for(let r in e){let s=e[r];if(typeof s!="number"){let i=s;t.push(i.data()),n.push(r),a.push(i)}}if(t.length>0){let r=await Promise.all(t);for(let s=0;sY(this.totals[a],z(r,n)));this.totals[a]=i,s!=null&&s.dispose()}}}async onEpochEnd(e,t){if(t!=null)for(let n of this.params.metrics)this.totals[n]!=null&&(typeof this.totals[n]=="number"?t[n]=this.totals[n]/this.seen:P(()=>{let a=z(he(1,this.seen),this.totals[n]);t[n]=a,this.totals[n].dispose(),Zt(t[n])}))}},gN=class extends kl{async onTrainBegin(e){this.epoch=[],this.history={}}async onEpochEnd(e,t){t==null&&(t={}),this.epoch.push(e);for(let n in t)this.history[n]==null&&(this.history[n]=[]),this.history[n].push(t[n])}async syncData(){let e=[],t=[],n=[];for(let r in this.history){let s=this.history[r];for(let i=0;inew bN(n,t))}var Na=class{constructor(){}static registerCallbackConstructor(e,t){v.assert(e>=0&&Number.isInteger(e),()=>`Verbosity level is expected to be an integer >= 0, but got ${e}`),Na.checkForDuplicate(t),Na.constructors[e]==null&&(Na.constructors[e]=[]),Na.constructors[e].push(t)}static checkForDuplicate(e){for(let t in Na.constructors)Na.constructors[+t].forEach(n=>{if(n===e)throw new V("Duplicate callback constructor.")})}static clear(){Na.constructors={}}static createCallbacks(e){let t=[];for(let n in Na.constructors){let a=+n;e>=a&&t.push(...Na.constructors[a])}return t.map(n=>new n)}};Na.constructors={};function xN(e,t,n,a,r,s,i,o,l){let u=new gN,p=[new FV,...Na.createCallbacks(t)];e!=null&&p.push(...e),p.push(u);let d=new fN(p);return d.setParams({epochs:n,initialEpoch:a,samples:r,steps:s,batchSize:i,verbose:t,doValidation:o,metrics:l}),{callbackList:d,history:u}}function Wa(e,t={},n=!1){return jc(e,ne.SerializationMap.getMap().classNameMap,t,"layer",n)}function Uh(e,t){return P(()=>{e.dtype!=="float32"&&(e=oe(e,"float32"));let n=fe(Xc(e),t,!0),a=gn(n.shape,Gt()),r=ln(cr(n,a));return he(e,r)})}function yo(e,t){return P(()=>Nt(Xc(pe(t,e)),-1))}function Pf(e,t){return P(()=>Nt(Lt(pe(t,e)),-1))}function Gu(e,t){return P(()=>{let n=pe(e,t),a=Qt(Lt(e),Gt(),Number.MAX_VALUE),r=Lt(he(n,a));return z(100,Nt(r,-1))})}function DV(e,t){return P(()=>{let n=Qt(t,Gt(),Number.MAX_VALUE),a=ea(Y(1,n)),r=Qt(e,Gt(),Number.MAX_VALUE),s=ea(Y(1,r));return Nt(Xc(pe(a,s)),-1)})}function RV(e,t){return P(()=>{let n=cr(0,pe(1,z(e,t)));return Nt(Xc(n),-1)})}function MV(e,t){return P(()=>{let n=cr(0,pe(1,z(e,t)));return Nt(n,-1)})}function PV(e,t){return P(()=>{let n=fe(z(e,t),-1),a=_a(z(pe(1,e),t),-1);return cr(0,Y(1,pe(a,n)))})}function OV(e,t){return P(()=>{let n=Math.log(2),a=pe(t,e),r=pe(Y(a,mo(z(-2,a))),n);return Nt(r,-1)})}function Qp(e,t,n=!1){return P(()=>{if(n)t=ja(t);else{let a=fe(t,t.shape.length-1,!0);t=he(t,a)}return t=Qt(t,Gt(),1-Gt()),vt(fe(z(oe(e,"float32"),ea(t)),t.shape.length-1))})}function Gh(e,t,n=!1){return P(()=>{let a=oe(Lu(H4(e)),"int32");t=Qt(t,Gt(),1-Gt());let r=t.shape,s=B(fl(a,r[r.length-1]),r);return Qp(s,t,n)})}function LV(e,t){if(!v.arraysEqual(e.shape,t.shape))throw new V(`logits and labels must have the same shape, but got shapes ${JSON.stringify(e.shape)} and ${JSON.stringify(t.shape)}`);return P(()=>{let n=Xe(t),a=vt(Lt(t));return Y(pe(n,z(t,e)),Oc(fn(a)))})}function Of(e,t){return P(()=>{let n;return n=Qt(t,Gt(),1-Gt()),n=ea(he(n,pe(1,n))),Nt(LV(e,n),-1)})}function zV(e,t){return P(()=>{let n=Qt(e,Gt(),1),a=Qt(t,Gt(),1);return fe(z(e,ea(he(n,a))),-1)})}function BV(e,t){return P(()=>{let n=ea(Y(Gt(),t));return Nt(pe(t,z(e,n)),-1)})}function mw(e,t){return P(()=>{let n=Uh(e,-1),a=Uh(t,-1),r=z(n,a);return vt(fe(r,-1))})}var Hh={meanSquaredError:yo,meanAbsoluteError:Pf,meanAbsolutePercentageError:Gu,meanSquaredLogarithmicError:DV,squaredHinge:RV,hinge:MV,categoricalHinge:PV,logcosh:OV,categoricalCrossentropy:Qp,sparseCategoricalCrossentropy:Gh,binaryCrossentropy:Of,kullbackLeiblerDivergence:zV,poisson:BV,cosineProximity:mw};function yy(e){if(typeof e=="string"){if(e in Hh)return Hh[e];let t=`Unknown loss ${e}`;throw e.toLowerCase().includes("softmaxcrossentropy")&&(t=`Unknown loss ${e}. Use "categoricalCrossentropy" as the string name for tf.losses.softmaxCrossEntropy`),new V(t)}else return e}function fw(e,t){return P(()=>{let n=z(.5,ta(t)),a=qc(Vn(t,n),e.dtype);return Nt(Qn(e,a),-1)})}function gw(e,t){return P(()=>qc(Qn(ri(e,-1),ri(t,-1)),"float32"))}function vN(e,t){return P(()=>oe(fe(Aa(Qn(e,1),Qn(t,1))),"float32"))}function WV(e,t){return P(()=>oe(fe(Aa(Qn(e,1),Qn(t,0))),"float32"))}function VV(e,t){return P(()=>oe(fe(Aa(Qn(e,0),Qn(t,1))),"float32"))}function wN(e,t){return P(()=>{let n=vN(e,t),a=VV(e,t),r=Y(n,a);return oe(mn(Vn(r,0),he(n,r),0),"float32")})}function UV(e,t){return P(()=>{let n=vN(e,t),a=WV(e,t),r=Y(n,a);return oe(mn(Vn(r,0),he(n,r),0),"float32")})}function kN(e,t){return Of(e,t)}function IN(e,t){return e.rank===t.rank&&(e=Ns(e,[e.rank-1])),t=ri(t,-1),t.dtype!==e.dtype&&(t=oe(t,e.dtype)),oe(Qn(e,t),"float32")}var GV=yo,HV=yo,jV=Pf,qV=Pf,KV=Gu,XV=Gu,bw=Qp,YV=mw,SN=Gh,jh={binaryAccuracy:fw,categoricalAccuracy:gw,precision:wN,categoricalCrossentropy:bw,sparseCategoricalCrossentropy:SN,mse:GV,MSE:HV,mae:jV,MAE:qV,mape:KV,MAPE:XV,cosine:YV};function ZV(e){if(typeof e=="string"&&e in jh)return jh[e];if(typeof e!="string"&&e!=null)return e;throw new V(`Unknown metric ${e}`)}function uh(e){if(nr(e!==null,`Unknown LossOrMetricFn ${e}`),typeof e=="string")return e;{let t;for(let n of Object.keys(Hh))if(Hh[n]===e){t=n;break}if(t!==void 0)return t;for(let n of Object.keys(jh))if(jh[n]===e){t=n;break}return t!==void 0?t:e.name}}function JV(e){let t={Adagrad:()=>Bs.adagrad(.01),Adadelta:()=>Bs.adadelta(1,.95,Gt()),Adam:()=>Bs.adam(.001,.9,.999,Gt()),Adamax:()=>Bs.adamax(.002,.9,.999,Gt(),0),RMSProp:()=>Bs.rmsprop(.001,.9,0,Gt()),SGD:()=>Bs.sgd(.01)};if(t.adagrad=t.Adagrad,t.adadelta=t.Adadelta,t.adam=t.Adam,t.adamax=t.Adamax,t.rmsprop=t.RMSProp,t.sgd=t.SGD,e in t)return t[e]();throw new V(`Unknown Optimizer ${e}`)}function Rk(e,t,n=!1){if(e==null||typeof e!="object"||Object.getPrototypeOf(e)!==Object.prototype||!jy(e))throw new Error("User-defined metadata is expected to be a JSON object, but is not.");if(n){let a=JSON.stringify(e);a.length>1048576&&console.warn(`User-defined metadata of model "${t}" is too large in size (length=${a.length} when serialized). It is not recommended to store such large objects in user-defined metadata. Please make sure its serialized length is <= ${1048576}.`)}}function jy(e){if(e===null)return!0;if(typeof e=="object")if(Object.getPrototypeOf(e)===Object.prototype){let t=Object.keys(e);for(let n of t)if(typeof n!="string"||!jy(e[n]))return!1;return!0}else if(Array.isArray(e)){for(let t of e)if(!jy(t))return!1;return!0}else return!1;else{let t=typeof e;return t==="string"||t==="number"||t==="boolean"}}function QV(e,t,n,a=console.log){let r=tU(e),s=["Layer (type)","Input Shape","Output shape","Param #"];r?(t=t||90,n=n||[.32,.61,.89,1]):(t=t||115,n=n||[.24,.48,.7,.8,1]),n[n.length-1]<=1&&(n=n.map(p=>Math.floor(t*p)));let i;if(!r){s.push("Receives inputs"),i=[];for(let p in e.nodesByDepth)i.push(...e.nodesByDepth[p])}a("_".repeat(t)),qh(s,n,a),a("=".repeat(t));let o=e.layers;for(let p=0;p1||r.length===1&&r[0].inboundLayers.length>1){t=!1;break}a.push(...r)}if(t)for(let r of e.layers){let s=!1;for(let i of r.inboundNodes)if(a.indexOf(i)!==-1)if(s){t=!1;break}else s=!0;if(!t)break}return t}function qh(e,t,n=console.log){let a="";for(let r=0;r0&&(a=a.slice(0,a.length-1)+" "),a+=e[r],a=a.slice(0,t[r]),a+=" ".repeat(t[r]-a.length);n(a)}function nU(e,t,n){let a,r;try{r=e.inboundNodes.map(l=>JSON.stringify(l.inputShapes)).join(",")}catch(l){r="multiple"}try{a=JSON.stringify(e.outputShape)}catch(l){a="multiple"}let s=e.name,i=e.getClassName(),o=[`${s} (${i})`,r,a,e.countParams().toString()];qh(o,t,n)}function aU(e,t,n,a){let r,s;try{s=e.inboundNodes.map(d=>JSON.stringify(d.inputShapes)).join(",")}catch(d){s="multiple"}try{r=JSON.stringify(e.outputShape)}catch(d){r="multiple"}let i=[];for(let d of e.inboundNodes)if(!(n!=null&&n.length>0&&n.indexOf(d)===-1))for(let c=0;cb.name)}`);ns(this.outputs).length!==this.outputs.length&&console.warn(`The list of outputs passed to the model is redundant. All outputs should only appear once. Found: ${this.outputs.map(b=>b.name)}`),this.inputLayers=[],this.inputLayersNodeIndices=[],this.inputLayersTensorIndices=[],this.outputLayers=[],this.outputLayersNodeIndices=[],this.outputLayersTensorIndices=[],this.layers=[],this.internalContainerRefs=[];for(let b of this.outputs){let y=b.sourceLayer,x=b.nodeIndex,w=b.tensorIndex;this.outputLayers.push(y),this.outputLayersNodeIndices.push(x),this.outputLayersTensorIndices.push(w)}for(let b of this.inputs){let y=b.sourceLayer,x=b.nodeIndex,w=b.tensorIndex;nr(x===0,"input layer has >1 nodes"),nr(w===0,"input layer has >1 tensors"),this.inputLayers.push(y),this.inputLayersNodeIndices.push(x),this.inputLayersTensorIndices.push(w)}this.inputNames=[],this.outputNames=[],this.feedInputShapes=[],this.feedInputNames=[],this.feedOutputNames=[];for(let b=0;bb.shape),this.internalOutputShapes=this.outputs.map(b=>b.shape);let t={},n={},a={},r={},s={},i=[],o=(b,y,x,w,I,T)=>{(w==null||I==null||T==null)&&(w=b.sourceLayer,I=b.nodeIndex,T=b.tensorIndex);let C=w.inboundNodes[I];if(x.indexOf(C)!==-1)throw new La(`The tensor ${b.name} at layer "${w.name}" is part of a cycle.`);if(y.indexOf(C)!==-1)return;this.containerNodes.add(Qa.nodeKey(w,I)),w.id in s||(s[w.id]=Object.keys(s).length),x.indexOf(C)===-1&&x.push(C);let E=C.inboundLayers.length;for(let A=0;A=0;)x.splice(x.indexOf(C),1);i.push(C)},l=[],u=[];for(let b of this.outputs)o(b,l,u);let p=i.slice().reverse();for(let b of p){n[b.id]=b,b.id in t||(t[b.id]=0);let y=t[b.id],x=a[b.outboundLayer.id]==null?0:a[b.outboundLayer.id];y=Math.max(y,x),a[b.outboundLayer.id]=y,r[b.outboundLayer.id]=b.outboundLayer,t[b.id]=y;for(let w=0;wparseInt(b,10)).sort(ih);this.layers=[];for(let b of h){let y=c[b];y.sort((x,w)=>{let I=s[x.id],T=s[w.id];return IT?1:0});for(let x of y)x instanceof Qa&&this.internalContainerRefs.push(x),this.layers.push(x)}this.layersByDepth=c,h=Object.keys(d).map(b=>parseInt(b,10)).sort(ih);let m=this.inputs.slice(),f=[];for(let b of h)for(let y of d[b]){let x=y.outboundLayer;if(x!=null){for(let w of y.inputTensors)if(m.indexOf(w)===-1)throw new La(`Graph disconnected: cannot obtain value for tensor ${w} at layer "${x.name}". The following previous layers were accessed without issue: ${f}`);for(let w of y.outputTensors)m.push(w);f.push(x.name)}}this.nodesByDepth=d;let g=this.layers.map(b=>b.name);for(let b of g){let y=g.filter(x=>x===b).length;if(y!==1)throw new La(`The name "${b}" is used ${y} times in the model. All layer names should be unique. Layer names: `+JSON.stringify(g))}this.outboundNodes=[],this.inboundNodes=[],new Mf({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:this.inputs.map(b=>null),outputMasks:this.outputs.map(b=>null),inputShapes:this.inputs.map(b=>b.shape),outputShapes:this.outputs.map(b=>b.shape)}),this.built=!0,this._refCount=1}assertNotDisposed(){if(this._refCount===0)throw new Error(`Container '${this.name}' is already disposed.`)}dispose(){this.assertNotDisposed();let e={refCountAfterDispose:null,numDisposedVariables:0};if(--this._refCount===0){for(let t of this.layers)e.numDisposedVariables+=t.dispose().numDisposedVariables;for(let t of this.internalContainerRefs)e.numDisposedVariables+=t.dispose().numDisposedVariables}return e.refCountAfterDispose=this._refCount,e}get trainable(){return this.trainable_}set trainable(e){this.layers.forEach(t=>{t._trainableWeights.forEach(n=>n.trainable=e)}),this.trainable_=e}get trainableWeights(){if(this._trainableWeights.length>0)throw new V("Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];let e=[];for(let t of this.layers)e=e.concat(t.trainableWeights);return e}get nonTrainableWeights(){let e=[];for(let t of this.layers)e.push(...t.nonTrainableWeights);if(!this.trainable){let t=[];for(let n of this.layers)t.push(...n.trainableWeights);return t.concat(e)}return e}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}loadWeights(e,t=!0){let n={},a=0;for(let s of this.layers)for(let i of s.weights){if(n[i.originalName]!=null)throw new V(`Duplicate weight name: ${i.originalName}`);n[i.originalName]=i,a++}let r=[];for(let s in e){let i=s;if(n[s]==null){let o=s.split("/");i=o.slice(0,-2).concat([o[o.length-1]]).join("/")}if(n[i]!=null)r.push([n[i],e[s]]);else if(t)throw new V(`Provided weight data has no target variable: ${s}`);delete n[i]}if(t){let s=[];for(let i in n)s.push(i);if(s.length>0)throw new V(`${s.length} of ${a} weights are not set: ${s}`)}lw(r)}updatedConfig(){let e=this.getConfig(),t={};return t.className=this.getClassName(),t.config=e,t.kerasVersion=`tfjs-layers ${yw}`,t.backend="TensorFlow.js",t}toJSON(e,t=!0){let n=qy(this.updatedConfig());return t?JSON.stringify(n):n}call(e,t){return P(()=>{e=xt(e);let n=new js;for(let a=0;a{e=xt(e);let n;return t==null?n=li(null,e.length):n=xt(t),this.runInternalGraph(e,n)[1]})}computeOutputShape(e){let t=zh(e);if(t.length!==this.inputLayers.length)throw new V(`Invalid inputShape argument ${e}: model has ${this.inputLayers.length} tensor inputs.`);let n={};for(let i=0;iparseInt(i,10)).sort(ih);if(a.length>1)for(let i of a){let o=this.nodesByDepth[i];for(let l of o){let u=l.outboundLayer;if(this.inputLayers.map(m=>m.id).indexOf(u.id)!==-1)continue;let p=[];for(let m=0;mparseInt(o,10)).sort(ih);for(let o of a){let l=this.nodesByDepth[o];for(let u of l){let p=u.outboundLayer,d=u.inputTensors,c=u.outputTensors,h=new Array;for(let m of d)m.id in n&&h.push(n[m.id]);if(h.length===d.length){let m={},f,g,b,y;if(u.callArgs!=null&&(m=u.callArgs),h.length===1){let[x,w]=h[0];m.mask==null&&(m.mask=w),b=xt(p.call(x,m)),y=xt(p.computeMask(x,w)),f=[x],g=[w]}else f=h.map(x=>x[0]),g=h.map(x=>x[1]),m.mask==null&&(m.mask=g),b=xt(p.call(f,m)),y=xt(p.computeMask(f,g));if(p.activityRegularizer)throw new Re("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(let x=0;x{let e=[];for(let t of this.layers)for(let n=0;n0){let m=[];for(let f=0;f0&&f.apply(Mn(b),y)}function l(f){let g=f.name,b=Wa(f,t.customObjects!=null?t.customObjects:{});b.setFastWeightInitDuringBuild(a),r[g]=b,f.inboundNodes.forEach(y=>{if(!(y instanceof Array))throw new V(`Corrupted configuration, expected array for nodeData: ${y}`);i(b,y)})}let u=t.name,p=t.layers;for(let f of p)l(f);for(;!F4(s);)for(let f of p){let g=r[f.name];if(g.name in s){let b=s[g.name];delete s[g.name];for(let y of b)o(g,y)}}let d=[],c=[],h=t.inputLayers;for(let f of h){let g=f[0],b=f[1],y=f[2];nr(g in r);let x=r[g].inboundNodes[b].outputTensors;d.push(x[y])}let m=t.outputLayers;for(let f of m){let g=f[0],b=f[1],y=f[2];nr(g in r);let x=r[g].inboundNodes[b].outputTensors;c.push(x[y])}return new e({inputs:d,outputs:c,name:u})}get stateful(){if(this._stateful)throw new V("Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");for(let e of this.layers)if(e.stateful)return!0;return!1}resetStates(){P(()=>{this.layers.forEach(e=>{e.stateful&&e.resetStates()})})}};function rU(e,t,n){let a=t.length;if(e==null||Array.isArray(e)&&e.length===0)return t.map(r=>null);if(a===1)return Array.isArray(e)&&e.length===1?e:typeof e=="object"&&t[0]in e?[e[t[0]]]:[e];if(Array.isArray(e)){if(e.length!==a)throw new Error(`Provided ${n} is an array of ${e.length} element(s), but the model has ${a} outputs. Make sure a set of weights is provided for each model output.`);return e}else if(typeof e=="object"&&Object.keys(e).length>0&&typeof e[Object.keys(e)[0]]=="object"){let r=[];return t.forEach(s=>{s in e?r.push(e[s]):r.push(null)}),r}else throw new Error(`The model has multiple (${a}) outputs, so ${n} must be either an array with ${a} elements or an object with ${t} keys. Provided ${n} not understood: ${JSON.stringify(e)}`)}function NN(e,t){return rU(e,t,"classWeight")}async function CN(e,t,n,a){if(t!=null||a!=null)throw new Error("Support sampleWeight is not implemented yet");if(n!=null){let r=P(()=>{if(e.shape.length===1)return sr(e);if(e.shape.length===2){if(e.shape[1]>1)return ri(e,1);if(e.shape[1]===1)return B(e,[e.shape[0]]);throw new Error(`Encountered unexpected last-dimension size (${e.shape[1]}) during handling of class weights. The size is expected to be >= 1.`)}else throw new Error(`Unexpected rank of target (y) tensor (${e.rank}) during handling of class weights. The rank is expected to be 1 or 2.`)}),s=Array.from(await r.data());$e(r);let i=[];return s.forEach(o=>{if(n[o]==null)throw new Error(`classWeight must contain all classes in the training data. The class ${o} exists in the data but not in classWeight`);i.push(n[o])}),Ke(i,"float32")}else return null}function sU(e,t){return z(e,t)}var iU=32;function _N(e,t){let n,a,r=t;n=r.xs,a=r.ys,v.assert(n!=null&&a!=null,()=>`A Dataset iterator for fitDataset() is expected to generate objects of the form \`{xs: xVal, ys: yVal}\`, where the two values may be \`tf.Tensor\`, an array of Tensors, or a map of string to Tensor. The provided Dataset instead generates ${t}`);let s=Mk("input",e.inputNames,n),i=Mk("output",e.outputNames,a),o=s[0].shape[0];v.assert(s.length===e.inputs.length,()=>`LayersModel has ${e.inputs.length} inputs, but the dataset provides ${s.length} inputs. (Expected input keys: ${JSON.stringify(e.inputNames)})`),v.assert(i.length===e.outputs.length,()=>`LayersModel has ${e.outputs.length} outputs, but the dataset provides ${i.length} outputs. (Expected output keys: ${JSON.stringify(e.outputNames)})`);for(let l=0;l`Batch size mismatch: input ${e.inputNames[l]} has ${s[l].shape[0]}; expected ${o} based on input ${e.inputNames[0]}.`);for(let l=0;l`Batch size mismatch: output ${e.outputNames[l]} has ${i[l].shape[0]}; expected ${o} based on input ${e.inputNames[0]}.`);return{xs:s,ys:i}}function Mk(e,t,n){if(n instanceof Te)return[n];if(Array.isArray(n))return v.assert(n.length===t.length,()=>`Received an array of ${n.length} Tensors, but expected ${t.length} to match the ${e} keys ${t}.`),n;{let a=[];for(let r of t){if(n[r]==null)throw new V(`The feature data generated by the dataset lacks the required ${e} key '${r}'.`);a.push(n[r])}return a}}function oU(e){if(e.length===3)throw new Re("Validation with sample weights is not implemented yet.");return{xs:e[0],ys:e[1]}}async function lU(e,t,n){let a=n.batchesPerEpoch!=null;if(v.assert(e.optimizer!=null,()=>"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig)."),v.assert(n!=null,()=>"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."),v.assert(n.epochs!=null&&n.epochs>0&&Number.isInteger(n.epochs),()=>`For fitDataset(), config.epochs is expected to be a positive integer, but got ${n.epochs}`),v.assert(!a||n.batchesPerEpoch>0&&Number.isInteger(n.batchesPerEpoch),()=>`For fitDataset(), config.batchesPerEpoch is expected to be a positive integer if specified, but got ${n.batchesPerEpoch}`),v.assert(n.validationSplit==null,()=>"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."),e.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");e.isTraining=!0;try{let r=n.validationData!=null,s,i;if(r)if(Pk(n.validationData))v.assert(n.validationBatches==null||n.validationBatches>0&&Number.isInteger(n.validationBatches),()=>`For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, but got ${n.validationBatches}`);else{let g=oU(n.validationData);s=g.xs,i=g.ys}let o=e.makeTrainFunction(),l=e.getDedupedMetricsNames(),u;r?u=l.slice().concat(l.map(g=>"val_"+g)):u=l.slice();let p=yN(n.callbacks,n.yieldEvery),d=n.verbose==null?1:n.verbose,{callbackList:c,history:h}=xN(p,d,n.epochs,null,null,uU(t,n),null,r,u);c.setModel(e),e.history=h,await c.onTrainBegin(),e.stopTraining_=!1;let m=n.initialEpoch==null?0:n.initialEpoch,f=await t.iterator();for(;m=n.batchesPerEpoch:x.done){if(r){let w;Pk(n.validationData)?w=xt(await e.evaluateDataset(n.validationData,{batches:n.validationBatches})):w=xt(e.evaluate(s,i,{batchSize:n.validationBatchSize==null?iU:n.validationBatchSize,verbose:0}));for(let I=0;I0)throw new Re("Verbose mode is not implemented yet.");v.assert(!a||n.batches>0&&Number.isInteger(n.batches),()=>`Test loop expects \`batches\` to be a positive integer, but received ${JSON.stringify(n.batches)}`);let i=pU(t)?t:await t.iterator(),o=0,l=0;for(;!a||l{if(u.value){let{xs:p,ys:d}=_N(e,u.value),c=p.concat(d),h=P(()=>r(c));if($e(c),l===0)for(let f=0;fY(s[f],z(m,g))),l>0&&$e(b)}$e(h),o+=m,++l}return s}),u.done){a&&console.warn(`Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least \`batches\` batches (in this case, ${n.batches} batches). You may need to use the repeat() function when building your dataset.`);break}}for(let u=0;u0&&Number.isInteger(e),()=>`batchSize is required to be a positive integer, but got ${e}`)}function Rp(e,t,n){return e==null?[null]:Array.isArray(e)?e.map(a=>Zs(a,t,n-t)):Zs(e,t,n-t)}function xw(e,t){return P(()=>e==null?null:Array.isArray(e)?e.map(n=>xw(n,t)):iN(e,t.dtype==="int32"?t:oe(t,"int32")))}function Xy(e,t){let n=[],a=0,r=null;for(;a=e&&(r=e),n.push([a,r]),a=r;return n}async function dU(e,t,n,a,r,s,i,o,l,u,p,d,c,h,m){r==null&&(r=32),s==null&&(s=1),p==null&&(p=!0),c==null&&(c=0);let f=!1;if(l!=null&&u!=null&&(f=!0),m!=null&&(f=!0,h==null))throw new V("Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.");let g=e.checkNumSamples(n,r,h,"steps_per_epoch"),b;g!=null&&(b=Ua(0,g)),i==null&&(i=1);let{callbackList:y,history:x}=xN(o,i,s,c,g,h,r,f,d);y.setModel(e),e.history=x,await y.onTrainBegin(),e.stopTraining_=!1;for(let w=c;w{let R=C[E][0],F=C[E][1],S=Zs(T,R,F-R);A.batch=E,A.size=F-R;let M=xw(n,S),W=t(M);for(let U=0;U0){if(g=!0,a.validationData.length===2)l=a.validationData[0],u=a.validationData[1];else throw a.validationData.length===3?new Re("validationData including sample weights is not supported yet."):new V(`When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; ${a.validationData} is invalid.`);let E=!0,A=await e.standardizeUserData(l,u,null,null,E,h);p=A[0],d=A[1],b=p.concat(d)}else if(a.validationSplit!=null&&a.validationSplit>0&&a.validationSplit<1){g=!0;let E=Math.floor(r[0].shape[0]*(1-a.validationSplit)),A=r[0].shape[0];p=Rp(r,E,A),i=r,r=Rp(r,0,E),d=Rp(s,E,A),o=s,s=Rp(s,0,E),b=p.concat(d)}else a.validationSteps!=null&&(g=!0);let y=r.concat(s).concat(c);e.checkTrainableWeightsConsistency();let x=e.makeTrainFunction(),w=e.getDedupedMetricsNames(),I,T;g?(e.makeTestFunction(),I=e.testFunction,T=w.slice().concat(w.map(E=>"val_"+E))):(I=null,b=[],T=w.slice());let C=yN(a.callbacks,a.yieldEvery);return await dU(e,x,y,w,h,a.epochs,a.verbose,C,I,b,a.shuffle,T,a.initialEpoch,null,null)}finally{e.isTraining=!1,Oa(r,t),Oa(s,n),Oa(i,t),Oa(o,n),Oa(p,l),Oa(d,u),c!=null&&$e(c)}}function EN(e){let t=[];e instanceof Te&&(e=[e]);for(let n=0;nn.push(r.id));else if(t!=null)for(let r in t){let s=t[r];n.push(s.id)}let a=[];if(e instanceof Te)n.indexOf(e.id)===-1&&a.push(e);else if(Array.isArray(e))e.forEach(r=>{n.indexOf(r.id)===-1&&a.push(r)});else if(e!=null)for(let r in e){let s=e[r];n.indexOf(s.id)===-1&&a.push(s)}a.forEach(r=>{r.isDisposed||r.dispose()})}function mU(e){return e instanceof Te}function Yy(e){return Array.isArray(e)}function Ok(e){return!mU(e)&&!Yy(e)}function Lk(e,t,n,a=!0,r=""){if(t==null||t.length===0){if(e!=null){let i=!1;if(Yy(e)&&e.length>0)i=!0;else if(Ok(e)){for(let o in e)if(e.hasOwnProperty(o)){i=!0;break}}else i=!0;if(i)throw new V(`Error when checking model ${r} expected no data, but got ${e}`)}return[]}if(e==null)return t.map(i=>null);let s;if(Ok(e)){e=e,s=[];for(let i of t){if(e[i]==null)throw new V(`No data provided for "${i}". Need data for each key in: ${t}`);s.push(e[i])}}else if(Yy(e)){if(e=e,e.length!==t.length)throw new V(`Error when checking model ${r}: the Array of Tensors that you are passing to your model is not the size the model expected. Expected to see ${t.length} Tensor(s), but instead got the following list of Tensor(s): ${e}`);s=e}else{if(e=e,t.length>1)throw new V(`The model ${r} expects ${t.length} Tensor(s), but only received one Tensor. Found: Tensor with shape ${e.shape}`);s=[e]}if(s=EN(s),n!=null)for(let i=0;i=0&&u!==p)throw new V(`${r} expected a batch of elements where each example has shape [${n[i].slice(1,n[i].length)}] (i.e.,tensor shape [*,${n[i].slice(1,n[i].length)}]) but the ${r} received an input with ${o.shape[0]} examples, each with shape [${o.shape.slice(1,o.shape.length)}] (tensor shape [${o.shape}])`)}}return s}function fU(e,t,n){let a=ns(e.map(s=>s.shape[0]));a.sort();let r=ns(t.map(s=>s.shape[0]));if(r.sort(),a.length>1)throw new V(`All input Tensors (x) should have the same number of samples. Got array shapes: ${JSON.stringify(e.map(s=>s.shape))}`);if(r.length>1)throw new V(`All target Tensors (y) should have the same number of samples. Got array shapes: ${JSON.stringify(t.map(s=>s.shape))}`);if(a.length>0&&r.length>0&&!v.arraysEqual(a,r))throw new V(`Input Tensors should have the same number of samples as target Tensors. Found ${a[0]} input sample(s) and ${r[0]} target sample(s).`)}function gU(e,t,n){let a=[yo,Of,Qp];for(let r=0;r1)throw new V(`The model expects ${t.length} ${r} Tensors, but only received one Tensor. Found: array with shape ${JSON.stringify(e.shape)}.`);s=[e]}if(n!=null)for(let i=0;i[]);let n;if(typeof e=="string"||typeof e=="function")n=[e];else if(Array.isArray(e)||typeof e=="object")n=e;else throw new TypeError(`Type of metrics argument not understood. Expected an string,function, Array, or Object, found: ${e}`);if(Array.isArray(n))return t.map(a=>n);{let a=[];for(let r of t){let s=n.hasOwnProperty(r)?n[r]:[];Array.isArray(s)||(s=[s]),a.push(s)}return a}}var yU="layers-model",Er=class extends Qa{constructor(e){super(e),this.isTraining=!1}summary(e,t,n=console.log){if(!this.built)throw new V("This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).");QV(this,e,t,n)}compile(e){if(e.loss==null&&(e.loss=[]),this.loss=e.loss,typeof e.optimizer=="string")this.optimizer_=JV(e.optimizer),this.isOptimizerOwned=!0;else{if(!(e.optimizer instanceof Dr))throw new V("User-defined optimizer must be an instance of tf.Optimizer.");this.optimizer_=e.optimizer,this.isOptimizerOwned=!1}let t=[];if(!Array.isArray(e.loss)&&typeof e.loss!="string"&&typeof e.loss!="function"){e.loss=e.loss;for(let s in e.loss)if(this.outputNames.indexOf(s)===-1)throw new V(`Unknown entry in loss dictionary: "${s}". Only expected the following keys: ${this.outputNames}`);for(let s of this.outputNames)e.loss[s]==null&&console.warn(`Output "${s}" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data to be passed to ${s} during training`),t.push(yy(e.loss[s]))}else if(Array.isArray(e.loss)){if(e.loss.length!==this.outputs.length)throw new V(`When passing an Array as loss, it should have one entry per model output. The model has ${this.outputs.length} output(s), but you passed loss=${e.loss}.`);t=e.loss.map(s=>yy(s))}else{let s=yy(e.loss);this.outputs.forEach(i=>{t.push(s)})}this.lossFunctions=t,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(let s=0;s{for(let s=0;s1&&(this.metricsTensors.push([i,s]),this.metricsNames.push(this.outputNames[s]+"_loss"))}});let a=bU(e.metrics,this.outputNames),r=(s,i,o)=>{this.outputNames.length>1&&(i=this.outputNames[s]+"_"+i),this.metricsNames.push(i),this.metricsTensors.push([o,s])};Ys("metric",()=>{for(let s=0;s{let l="",u,p,d;for(let c of o){if(typeof c=="string"&&["accuracy","acc","crossentropy","ce"].indexOf(c)!==-1){let m=this.internalOutputShapes[s];m[m.length-1]===1||this.lossFunctions[s]===Of?["accuracy","acc"].indexOf(c)!==-1?p=fw:["crossentropy","ce"].indexOf(c)!==-1&&(p=kN):this.lossFunctions[s]===Gh?["accuracy","acc"].indexOf(c)!==-1?p=IN:["crossentropy","ce"].indexOf(c)!==-1&&(p=SN):["accuracy","acc"].indexOf(c)!==-1?p=gw:["crossentropy","ce"].indexOf(c)!==-1&&(p=bw);let f;["accuracy","acc"].indexOf(c)!==-1?f="acc":["crossentropy","ce"].indexOf(c)!==-1&&(f="ce"),d=p,u=l+f}else d=ZV(c),u=l+uh(c);let h;Ys(u,()=>{h=d}),r(s,u,h)}})(i)}}),this.collectedTrainableWeights=this.trainableWeights}checkTrainableWeightsConsistency(){this.collectedTrainableWeights!=null&&this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn("Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?")}evaluate(e,t,n={}){let a=n.batchSize==null?32:n.batchSize;Ky(a);let r=!0,s=this.standardizeUserDataXY(e,t,r,a);try{let i=s[0].concat(s[1]);this.makeTestFunction();let o=this.testFunction,l=this.testLoop(o,i,a,n.verbose,n.steps);return Mn(l)}finally{Oa(s[0],e),Oa(s[1],t)}}async evaluateDataset(e,t){return this.makeTestFunction(),cU(this,e,t)}checkNumSamples(e,t,n,a="steps"){let r;if(n!=null){if(r=null,t!=null)throw new V(`If ${a} is set, batchSize must be null or undefined.Got batchSize = ${t}`)}else if(e!=null)Array.isArray(e)?r=e[0].shape[0]:r=e.shape[0];else throw new V(`Either the input data should have a defined shape, or ${a} shoud be specified.`);return r}execute(e,t){if(Array.isArray(t)&&t.length===0)throw new V("`outputs` is an empty Array, which is not allowed.");let n=Array.isArray(t),a=n?t:[t],r=this.retrieveSymbolicTensors(a),s=new js;if(e instanceof Te&&(e=[e]),Array.isArray(e)){if(e.length!==this.inputs.length)throw new V(`The number of inputs provided (${e.length}) does not match the number of inputs of this model (${this.inputs.length}).`);for(let o=0;oi.name);for(let i=0;i0){let a=[];throw t.forEach((r,s)=>{r==null&&a.push(e[s])}),new V(`Cannot find SymbolicTensors for output name(s): ${JSON.stringify(a)}`)}return t}predictLoop(e,t=32,n=!1){return P(()=>{let a=this.checkNumSamples(e);if(n)throw new Re("Verbose predictLoop() is not implemented yet.");let r=Xy(a,t),s=this.outputs.map(i=>[]);for(let i=0;i{let o=r[i][0],l=r[i][1],u=Rp(e,o,l),p=[];if(Array.isArray(u))for(let c=0;cs[l].push(o));return Mn(s.map(i=>Ze(i,0)))})}predict(e,t={}){let n=EN(e);zk(n,this.inputNames,this.feedInputShapes,!1);try{let a=t.batchSize==null?32:t.batchSize;return Ky(a),this.predictLoop(n,a)}finally{Oa(n,e)}}predictOnBatch(e){zk(e,this.inputNames,this.feedInputShapes,!0);let t=(Array.isArray(e)?e[0]:e).shape[0];return this.predictLoop(e,t)}standardizeUserDataXY(e,t,n=!0,a){if(this.optimizer_==null)throw new La("You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).");let r=[];for(let s=0;s0&&e[0].shape[0]%a!==0)throw new V(`In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size ${a}. Found: ${e[0].shape[0]} sample(s).`);return[e,t]}async standardizeUserData(e,t,n,a,r=!0,s){let[i,o]=this.standardizeUserDataXY(e,t,r,s);if(n!=null)throw new Error("sample weight is not supported yet.");let l=null;if(a!=null){let u=NN(a,this.outputNames);l=[];for(let p=0;p{let s=this.checkNumSamples(t,n,r,"steps"),i=[];if(a>0)throw new Re("Verbose mode is not implemented yet.");if(r!=null)throw new Re("steps mode in testLoop() is not implemented yet");{let o=Xy(s,n),l=Ke(Ua(0,s));for(let u=0;u1&&(r+=`_${Sk(e.slice(0,n),a)}`),t.push(r)}return t}makeTrainFunction(){return e=>{let t=[],n=e.slice(0,this.inputs.length),a=e.slice(this.inputs.length,this.inputs.length+this.outputs.length),r=e.slice(this.inputs.length+this.outputs.length,this.inputs.length+this.outputs.length*2),s=[],i=()=>{let u=[];for(let h=0;h1&&h{c=Y(c,h)}),c},o=this.collectedTrainableWeights.map(u=>u.read()),l=!0;return[this.optimizer_.minimize(i,l,o)].concat(s)}}makeTestFunction(){this.testFunction=e=>P(()=>{let t=[],n,a=e.slice(0,this.inputs.length),r=e.slice(this.inputs.length,this.inputs.length+this.outputs.length),s=[];for(let l=0;lIr(t))}else{let t=Object.keys(this.loss);e={};let n=this.loss;for(let a of t)if(typeof n[a]=="string")e[a]=Ir(n[a]);else throw new Error("Serialization of non-string loss is not supported.")}return e}getMetricIdentifiers(){if(typeof this.metrics=="string"||typeof this.metrics=="function")return[Ir(uh(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map(e=>Ir(uh(e)));{let e={};for(let t in this.metrics)e[t]=Ir(uh(this.metrics[t]));return e}}getTrainingConfig(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}}loadTrainingConfig(e){if(e.weighted_metrics!=null)throw new Error("Loading weight_metrics is not supported yet.");if(e.loss_weights!=null)throw new Error("Loading loss_weights is not supported yet.");if(e.sample_weight_mode!=null)throw new Error("Loading sample_weight_mode is not supported yet.");let t=ec(e.optimizer_config),n=Wa(t),a;if(typeof e.loss=="string")a=Us(e.loss);else if(Array.isArray(e.loss))a=e.loss.map(s=>Us(s));else if(e.loss!=null){a={};for(let s in e.loss)a[s]=Us(e.loss[s])}let r;if(Array.isArray(e.metrics))r=e.metrics.map(s=>Us(s));else if(e.metrics!=null){r={};for(let s in e.metrics)r[s]=Us(e.metrics[s])}this.compile({loss:a,metrics:r,optimizer:n})}async save(e,t){if(typeof e=="string"){let i=Ut.getSaveHandlers(e);if(i.length===0)throw new V(`Cannot find any save handlers for URL '${e}'`);if(i.length>1)throw new V(`Found more than one (${i.length}) save handlers for URL '${e}'`);e=i[0]}if(e.save==null)throw new V("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");let n=await Ut.encodeWeights(this.getNamedWeights(t)),a=!1,r=null,s={modelTopology:this.toJSON(r,a),format:yU,generatedBy:`TensorFlow.js tfjs-layers v${yw}`,convertedBy:null};if((t==null?!1:t.includeOptimizer)&&this.optimizer!=null){s.trainingConfig=this.getTrainingConfig();let i="optimizer",{data:o,specs:l}=await Ut.encodeWeights(await this.optimizer.getWeights(),i);n.specs.push(...l),n.data=Ut.concatenateArrayBuffers([n.data,o])}return this.userDefinedMetadata!=null&&(Rk(this.userDefinedMetadata,this.name,!0),s.userDefinedMetadata=this.userDefinedMetadata),s.weightData=n.data,s.weightSpecs=n.specs,e.save(s)}setUserDefinedMetadata(e){Rk(e,this.name),this.userDefinedMetadata=e}getUserDefinedMetadata(){return this.userDefinedMetadata}};Er.className="Model";ne.registerClass(Er);var AN=class extends Er{};AN.className="Functional";ne.registerClass(AN);async function xU(e,t){"modelTopology"in e||(e={modelTopology:e}),e=e;let n=e.modelTopology;n.model_config!=null&&(n=n.model_config);let a=ec(n),r=Wa(a,t);if(e.weightsManifest!=null){let s=await Ut.loadWeights(e.weightsManifest,e.pathPrefix,r.weights.map(o=>o.originalName)),i={};for(let o of r.weights)i[o.originalName]=s[o.originalName];r.loadWeights(i),$e(s)}return r}async function vU(e,t){if(t==null&&(t={}),typeof e=="string"){let n=Ut.getLoadHandlers(e,t);if(n.length===0)n.push(Ut.browserHTTPRequest(e,t));else if(n.length>1)throw new V(`Found more than one (${n.length}) load handlers for URL '${e}'`);e=n[0]}return wU(e,void 0,t)}async function wU(e,t,n){if(n==null&&(n={}),e.load==null)throw new V("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let a=await e.load(),r=a.modelTopology;r.model_config!=null&&(r=r.model_config);let s=n.strict==null?!0:n.strict,i=a.weightData!=null&&a.weightSpecs!=null&&s,o=Wa(ec(r),t,i),l=a.trainingConfig;if(l!=null&&o.loadTrainingConfig(l),a.userDefinedMetadata!=null&&o.setUserDefinedMetadata(a.userDefinedMetadata),a.weightData!=null){if(a.weightSpecs==null)throw new V("LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.");let{modelWeights:u,optimizerWeights:p}=kU(a.weightData,a.weightSpecs);o.loadWeights(u,s),o.optimizer!=null&&p.length>0&&await o.optimizer.setWeights(p),$e(u),$e(p.map(d=>d.tensor))}return o}function kU(e,t){let n=Ut.decodeWeights(e,t),a={},r=[];return t.forEach(s=>{s.group==="optimizer"?r.push({name:s.name,tensor:n[s.name]}):a[s.name]=n[s.name]}),{modelWeights:a,optimizerWeights:r}}var Il=class extends Er{constructor(e){if(super({inputs:[],outputs:[]}),e=e||{},this.trainable=!0,this.built=!1,this.name=e.name!=null?e.name:Nf("sequential_"),e.layers!=null)for(let t of e.layers)this.add(t)}checkShape(e){if(e.inboundNodes[0].outputTensors[0].shape.some(t=>t<0))throw new V(`Negative dimension size caused by adding layer ${e.name} with input shape [${e.inboundNodes[0].inputTensors[0].shape}]`)}add(e){let t=e instanceof Il||e instanceof Er,n;if(t){if(n=e,n.outputs.length!==1)throw new V("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");if(n.inputs.length!==1)throw new V("All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.")}if(this.outputs.length===0){if(e.inboundNodes.length===0){if(e.batchInputShape==null)throw new V("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");let a=pN({batchShape:e.batchInputShape,dtype:e.dtype,name:e.name+"_input"});e.apply(a)}if(t)this.outputs=n.outputs,this.inputs=n.inputs;else{if(e.inboundNodes.length!==1)throw new V(`A layer added to a Sequential model must not already be connected somewhere else. LayersModel received layer ${e.name} which has ${e.inboundNodes.length} pre-existing inbound connections.`);if(e.inboundNodes[0].outputTensors.length!==1)throw new V("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[e.inboundNodes[0].outputTensors[0]],this.inputs=uN(this.outputs[0])}this.inboundNodes=[],new Mf({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:li(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(a=>a.shape),outputShapes:this.outputs[0].shape})}else{let a=e.apply(this.outputs[0]);if(Array.isArray(a))throw new TypeError("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[a],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(e),this.built=!1}pop(){if(this.layers.length===0)throw new TypeError("There are no layers in the model.");if(this.layers.pop(),this.layers.length===0)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{let e=this.layers.length-1;this.layers[e].outboundNodes=[],this.outputs=[this.layers[e].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}}call(e,t){return this.model==null&&this.build(),this.model.call(e,t)}build(e){if(at(e),this.inputs.length===0||this.outputs.length===0)throw new TypeError("Sequential model cannot be built: model is empty. Add some layers first.");this.model=new Er({inputs:this.inputs,outputs:this.outputs[0],name:this.name+"_model"}),this.model.trainable=this.trainable,this.supportsMasking=this.model.supportsMasking,this.inputLayers=this.model.inputLayers,this.inputLayersNodeIndices=this.model.inputLayersNodeIndices,this.inputLayersTensorIndices=this.model.inputLayersTensorIndices,this.outputLayers=this.model.outputLayers,this.outputLayersNodeIndices=this.model.outputLayersNodeIndices,this.outputLayersTensorIndices=this.model.outputLayersTensorIndices,this.nodesByDepth=this.model.nodesByDepth,this.containerNodes=this.model.containerNodes,this.outputNames=this.model.outputNames,this.inputNames=this.model.inputNames,this.built=!0}countParams(){return this.built||this.build(),super.countParams()}summary(e,t,n=console.log){this.built||this.build(),super.summary(e,t,n)}setWeights(e){this.model==null&&this.build(),this.model.setWeights(e)}evaluate(e,t,n={}){if(!this.built)throw new La("The model needs to be compiled before being used.");return this.model.evaluate(e,t,n)}async evaluateDataset(e,t){if(!this.built)throw new La("The model needs to be compiled before being used.");return this.model.evaluateDataset(e,t)}predict(e,t={}){return this.model==null&&this.build(),this.model.predict(e,t)}predictOnBatch(e){return this.model==null&&this.build(),this.model.predictOnBatch(e)}compile(e){this.build(),this.model.compile(e),this.optimizer_=this.model.optimizer,this.isOptimizerOwned=this.model.isOptimizerOwned,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames}get optimizer(){return this.model==null?void 0:this.model.optimizer}set optimizer(e){this.model.optimizer=e}async fit(e,t,n={}){if(!this.built)throw new La("The model needs to be compiled before being used.");return this.model.fit(e,t,n)}async fitDataset(e,t){if(!this.built)throw new La("The model needs to be compiled before being used.");return this.model.fitDataset(e,t)}async trainOnBatch(e,t){return this.model.trainOnBatch(e,t)}static fromConfig(e,t,n={},a=!1){let r,s={};if(t instanceof Array){if(t[0].className==null||t[0].className==="Merge")throw new V("Legacy serialization format not supported yet.");r=t}else v.assert(t.layers!=null,()=>"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field."),r=t.layers,delete t.layers,s=t;let i=new e(s);if(!(i instanceof Il))throw new Re(`Sequential.fromConfig called on non-Sequential input: ${i}`);for(let o of r){let l=Wa(o,void 0,a);a&&l.setFastWeightInitDuringBuild(!0),i.add(l)}return i}set stopTraining(e){if(this.model==null)throw new V("Cannot set the stopTraining property of a sequential model before it is compiled.");this.model.stopTraining=e}get stopTraining(){if(this.model==null)throw new V("Cannot get the stopTraining property of a sequential model before it is compiled.");return this.model.stopTraining}getConfig(){let e=[];for(let t of this.layers){let n={};n.className=t.getClassName(),n.config=t.getConfig(),e.push(n)}return{name:this.name,layers:e}}};Il.className="Sequential";ne.registerClass(Il);function IU(e){return new Er(e)}function SU(e){return new Il(e)}function TU(e,t){return t==null&&(t={}),vU(e,t)}function $N(e){return pN(e)}function NU(e,t){Na.registerCallbackConstructor(e,t)}var Un=class extends ne.Serializable{getConfig(){return{}}},FN=class extends Un{apply(e,t=1){return q4(e,t)}};FN.className="elu";ne.registerClass(FN);var DN=class extends Un{apply(e){return of(e)}};DN.className="selu";ne.registerClass(DN);var RN=class extends Un{apply(e){return Xe(e)}};RN.className="relu";ne.registerClass(RN);var MN=class extends Un{apply(e){return P(()=>Bu(6,Xe(e)))}};MN.className="relu6";ne.registerClass(MN);var PN=class extends Un{apply(e){return e}};PN.className="linear";ne.registerClass(PN);var ON=class extends Un{apply(e){return ha(e)}};ON.className="sigmoid";ne.registerClass(ON);var LN=class extends Un{apply(e){return X4(e)}};LN.className="hardSigmoid";ne.registerClass(LN);var zN=class extends Un{apply(e){return mo(e)}};zN.className="softplus";ne.registerClass(zN);var BN=class extends Un{apply(e){return K4(e)}};BN.className="softsign";ne.registerClass(BN);var WN=class extends Un{apply(e){return si(e)}};WN.className="tanh";ne.registerClass(WN);var vw=class extends Un{apply(e,t=-1){return ja(e,t)}};vw.className="softmax";ne.registerClass(vw);var VN=class extends Un{apply(e,t=-1){return Jm(e,t)}};VN.className="logSoftmax";ne.registerClass(VN);var UN=class extends Un{apply(e,t=1){return P(()=>z(ha(z(e,t)),e))}};UN.className="swish";ne.registerClass(UN);var GN=class extends Un{apply(e){return P(()=>z(e,si(mo(e))))}};GN.className="mish";ne.registerClass(GN);function ls(e){return e.getClassName()}function xy(e,t={}){return jc(e,ne.SerializationMap.getMap().classNameMap,t,"activation")}function us(e){if(e==null){let t={};return t.className="linear",t.config={},xy(t)}if(typeof e=="string"){let t={};return t.className=e,t.config={},xy(t)}else return e instanceof Un?e:xy(e)}function ww(e){if(e!=null&&typeof e!="object")throw new Error(`Argument to L1L2 regularizer's constructor is expected to be an object, but received: ${e}`)}var HN=class extends ne.Serializable{},Jc=class extends HN{constructor(e){super(),ww(e),this.l1=e==null||e.l1==null?.01:e.l1,this.l2=e==null||e.l2==null?.01:e.l2,this.hasL1=this.l1!==0,this.hasL2=this.l2!==0}apply(e){return P(()=>{let t=It([1]);return this.hasL1&&(t=Y(t,fe(z(this.l1,Lt(e))))),this.hasL2&&(t=Y(t,fe(z(this.l2,Xc(e))))),B(t,[])})}getConfig(){return{l1:this.l1,l2:this.l2}}static fromConfig(e,t){return new e({l1:t.l1,l2:t.l2})}};Jc.className="L1L2";ne.registerClass(Jc);function CU(e){return ww(e),new Jc({l1:e!=null?e.l1:null,l2:0})}function _U(e){return ww(e),new Jc({l2:e!=null?e.l2:null,l1:0})}var Bk={l1l2:"L1L2"};function pt(e){return Jv(e)}function Wk(e,t={}){return jc(e,ne.SerializationMap.getMap().classNameMap,t,"regularizer")}function Tt(e){if(e==null)return null;if(typeof e=="string"){let t={className:e in Bk?Bk[e]:e,config:{}};return Wk(t)}else return e instanceof HN?e:Wk(e)}var kw=class extends qe{constructor(e){super(e==null?{}:e),this.supportsMasking=!0,e!=null&&(this.maxValue=e.maxValue)}call(e,t){e=Me(e);let n=Xe(e);return this.maxValue!=null&&(n=Qt(n,0,this.maxValue)),n}computeOutputShape(e){return e}getConfig(){let e={maxValue:this.maxValue},t=super.getConfig();return Object.assign(e,t),e}};kw.className="ReLU";ne.registerClass(kw);var Iw=class extends qe{constructor(e){super(e==null?{}:e),this.DEFAULT_ALPHA=.3,e==null&&(e={}),this.alpha=e.alpha==null?this.DEFAULT_ALPHA:e.alpha}call(e,t){let n=Me(e);return Pc(n,this.alpha)}computeOutputShape(e){return e}getConfig(){let e={alpha:this.alpha},t=super.getConfig();return Object.assign(e,t),e}};Iw.className="LeakyReLU";ne.registerClass(Iw);var Sw=class extends qe{constructor(e){if(super(e==null?{}:e),this.DEFAULT_ALPHA_INITIALIZER="zeros",e==null&&(e={}),this.supportsMasking=!0,this.alphaInitializer=St(e.alphaInitializer||this.DEFAULT_ALPHA_INITIALIZER),this.alphaRegularizer=Tt(e.alphaRegularizer),this.alphaConstraint=Kt(e.alphaConstraint),e.sharedAxes==null)this.sharedAxes=null;else if(Array.isArray(e.sharedAxes))this.sharedAxes=e.sharedAxes;else if(typeof e.sharedAxes=="number")this.sharedAxes=[e.sharedAxes];else throw new V(`Expected sharedAxes to be a number or an array of numbers, but got ${e.sharedAxes}`)}build(e){e=at(e);let t=e.slice(1);if(this.sharedAxes!=null)for(let a of this.sharedAxes)t[a-1]=1;this.alpha=this.addWeight("alpha",t,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);let n={};if(this.sharedAxes!=null)for(let a=1;a(Rt(t),t==="channelsFirst"?Ce(e,[0,2,3,1]):e))}function jN(e,t){return P(()=>(Rt(t),t==="channelsFirst"?Ce(e,[0,2,3,4,1]):e))}function EU(e,t,n,a=1,r="valid",s,i=1){return P(()=>{if(s==null&&(s=Ga()),Rt(s),e.shape.length!==3)throw new V(`The input of a conv1dWithBias operation should be 3, but is ${e.shape.length} instead.`);if(t.shape.length!==3)throw new V(`The kernel for a conv1dWithBias operation should be 3, but is ${t.shape.length} instead`);if(n!=null&&n.shape.length!==1)throw new V(`The bias for a conv1dWithBias operation should be 1, but is ${t.shape.length} instead`);if(s==="channelsFirst"&&(e=Ce(e,[0,2,1])),r==="causal")throw new Re("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");let o=Hm(e,t,a,r==="same"?"same":"valid","NWC",i);return n!=null&&(o=qa(o,n)),o})}function Vk(e,t,n,a=[1,1],r="valid",s,i,o=null){return P(()=>{if(s==null&&(s=Ga()),Rt(s),e.rank!==3&&e.rank!==4)throw new V(`conv2dWithBiasActivation expects input to be of rank 3 or 4, but received ${e.rank}.`);if(t.rank!==3&&t.rank!==4)throw new V(`conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received ${e.rank}.`);let l=_w(e,s);if(r==="causal")throw new Re("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return l=vl.conv2d({x:l,filter:t,strides:a,pad:r==="same"?"same":"valid",dilations:i,dataFormat:"NHWC",bias:n,activation:o}),s==="channelsFirst"&&(l=Ce(l,[0,3,1,2])),l})}function AU(e,t,n,a=[1,1,1],r="valid",s,i){return P(()=>{if(s==null&&(s=Ga()),Rt(s),e.rank!==4&&e.rank!==5)throw new V(`conv3dWithBias expects input to be of rank 4 or 5, but received ${e.rank}.`);if(t.rank!==4&&t.rank!==5)throw new V(`conv3dWithBias expects kernel to be of rank 4 or 5, but received ${e.rank}.`);let o=jN(e,s);if(r==="causal")throw new Re("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return o=hv(o,t,a,r==="same"?"same":"valid","NDHWC",i),n!=null&&(o=qa(o,n)),s==="channelsFirst"&&(o=Ce(o,[0,4,1,2,3])),o})}var Ew=class extends qe{constructor(e,t){if(super(t),this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",Ew.verifyArgs(t),this.rank=e,Jt(this.rank,"rank"),this.rank!==1&&this.rank!==2&&this.rank!==3)throw new Re(`Convolution layer for rank other than 1, 2, or 3 (${this.rank}) is not implemented yet.`);if(this.kernelSize=cl(t.kernelSize,e,"kernelSize"),this.strides=cl(t.strides==null?1:t.strides,e,"strides"),this.padding=t.padding==null?"valid":t.padding,ya(this.padding),this.dataFormat=t.dataFormat==null?"channelsLast":t.dataFormat,Rt(this.dataFormat),this.activation=us(t.activation),this.useBias=t.useBias==null?!0:t.useBias,this.biasInitializer=St(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.biasConstraint=Kt(t.biasConstraint),this.biasRegularizer=Tt(t.biasRegularizer),this.activityRegularizer=Tt(t.activityRegularizer),this.dilationRate=cl(t.dilationRate==null?1:t.dilationRate,e,"dilationRate"),this.rank===1&&Array.isArray(this.dilationRate)&&this.dilationRate.length!==1)throw new V(`dilationRate must be a number or an array of a single number for 1D convolution, but received ${JSON.stringify(this.dilationRate)}`);if(this.rank===2){if(typeof this.dilationRate=="number")this.dilationRate=[this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==2)throw new V(`dilationRate must be a number or array of two numbers for 2D convolution, but received ${JSON.stringify(this.dilationRate)}`)}else if(this.rank===3){if(typeof this.dilationRate=="number")this.dilationRate=[this.dilationRate,this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==3)throw new V(`dilationRate must be a number or array of three numbers for 3D convolution, but received ${JSON.stringify(this.dilationRate)}`)}}static verifyArgs(e){if(nr("kernelSize"in e,"required key 'kernelSize' not in config"),typeof e.kernelSize!="number"&&!Qv(e.kernelSize,"number",1,3))throw new V(`BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received ${JSON.stringify(e.kernelSize)}.`)}getConfig(){let e={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:ls(this.activation),useBias:this.useBias,biasInitializer:Ct(this.biasInitializer),biasRegularizer:pt(this.biasRegularizer),activityRegularizer:pt(this.activityRegularizer),biasConstraint:qt(this.biasConstraint)},t=super.getConfig();return Object.assign(e,t),e}},Qc=class extends Ew{constructor(e,t){super(e,t),this.kernel=null,Qc.verifyArgs(t),this.filters=t.filters,Jt(this.filters,"filters"),this.kernelInitializer=St(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.kernelConstraint=Kt(t.kernelConstraint),this.kernelRegularizer=Tt(t.kernelRegularizer)}build(e){e=at(e);let t=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[t]==null)throw new V(`The channel dimension of the input should be defined. Found ${e[t]}`);let n=e[t],a=this.kernelSize.concat([n,this.filters]);this.kernel=this.addWeight("kernel",a,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:{[t]:n}}],this.built=!0}call(e,t){return P(()=>{e=Me(e);let n,a=this.bias==null?null:this.bias.read(),r=eN(this.activation.getClassName());if(r!=null&&this.rank===2)n=Vk(e,this.kernel.read(),a,this.strides,this.padding,this.dataFormat,this.dilationRate,r);else{if(this.rank===1)n=EU(e,this.kernel.read(),a,this.strides[0],this.padding,this.dataFormat,this.dilationRate[0]);else if(this.rank===2)n=Vk(e,this.kernel.read(),a,this.strides,this.padding,this.dataFormat,this.dilationRate);else if(this.rank===3)n=AU(e,this.kernel.read(),a,this.strides,this.padding,this.dataFormat,this.dilationRate);else throw new Re("convolutions greater than 3D are not implemented yet.");this.activation!=null&&(n=this.activation.apply(n))}return n})}computeOutputShape(e){e=at(e);let t=[],n=this.dataFormat==="channelsLast"?e.slice(1,e.length-1):e.slice(2);for(let r=0;r 0 but got ${JSON.stringify(e.filters)}`)}},ed=class extends Qc{constructor(e){super(2,e),ed.verifyArgs(e)}getConfig(){let e=super.getConfig();return delete e.rank,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!Qv(e.kernelSize,"number",1,2))throw new V(`Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received ${JSON.stringify(e.kernelSize)}.`)}};ed.className="Conv2D";ne.registerClass(ed);var td=class extends Qc{constructor(e){super(3,e),td.verifyArgs(e)}getConfig(){let e=super.getConfig();return delete e.rank,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!(Array.isArray(e.kernelSize)&&(e.kernelSize.length===1||e.kernelSize.length===3)))throw new V(`Conv3D expects config.kernelSize to be number or [number, number, number], but received ${JSON.stringify(e.kernelSize)}.`)}};td.className="Conv3D";ne.registerClass(td);var Aw=class extends ed{constructor(e){if(super(e),this.inputSpec=[new zt({ndim:4})],this.padding!=="same"&&this.padding!=="valid")throw new V(`Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(e){if(e=at(e),e.length!==4)throw new V("Input should have rank 4; Received input shape: "+JSON.stringify(e));let t=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[t]==null)throw new V("The channel dimension of the inputs should be defined. Found `None`.");let n=e[t],a=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",a,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new zt({ndim:4,axes:{[t]:n}})],this.built=!0}call(e,t){return P(()=>{let n=Me(e);if(n.shape.length!==4)throw new V(`Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let a=n.shape,r=a[0],s,i;this.dataFormat==="channelsFirst"?(s=2,i=3):(s=1,i=2);let o=a[s],l=a[i],u=this.kernelSize[0],p=this.kernelSize[1],d=this.strides[0],c=this.strides[1],h=ar(o,d,u,this.padding),m=ar(l,c,p,this.padding),f=[r,h,m,this.filters];this.dataFormat!=="channelsLast"&&(n=Ce(n,[0,2,3,1]));let g=jm(n,this.kernel.read(),f,this.strides,this.padding);return this.dataFormat!=="channelsLast"&&(g=Ce(g,[0,3,1,2])),this.bias!=null&&(g=qa(g,this.bias.read(),this.dataFormat)),this.activation!=null&&(g=this.activation.apply(g)),g})}computeOutputShape(e){e=at(e);let t=e.slice(),n,a,r;this.dataFormat==="channelsFirst"?(n=1,a=2,r=3):(n=3,a=1,r=2);let s=this.kernelSize[0],i=this.kernelSize[1],o=this.strides[0],l=this.strides[1];return t[n]=this.filters,t[a]=ar(t[a],o,s,this.padding),t[r]=ar(t[r],l,i,this.padding),t}getConfig(){let e=super.getConfig();return delete e.dilationRate,e}};Aw.className="Conv2DTranspose";ne.registerClass(Aw);var $w=class extends td{constructor(e){if(super(e),this.inputSpec=[new zt({ndim:5})],this.padding!=="same"&&this.padding!=="valid")throw new V(`Conv3DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(e){if(e=at(e),e.length!==5)throw new V("Input should have rank 5; Received input shape: "+JSON.stringify(e));let t=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[t]==null)throw new V("The channel dimension of the inputs should be defined. Found `None`.");let n=e[t],a=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",a,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new zt({ndim:5,axes:{[t]:n}})],this.built=!0}call(e,t){return P(()=>{let n=Me(e);if(n.shape.length!==5)throw new V(`Conv3DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let a=n.shape,r=a[0],s,i,o;this.dataFormat==="channelsFirst"?(o=2,s=3,i=4):(o=1,s=2,i=3);let l=a[o],u=a[s],p=a[i],d=this.kernelSize[0],c=this.kernelSize[1],h=this.kernelSize[2],m=this.strides[0],f=this.strides[1],g=this.strides[2],b=ar(l,m,d,this.padding),y=ar(u,f,c,this.padding),x=ar(p,g,h,this.padding),w=[r,b,y,x,this.filters];this.dataFormat!=="channelsLast"&&(n=Ce(n,[0,2,3,4,1]));let I=mv(n,this.kernel.read(),w,this.strides,this.padding);return this.dataFormat!=="channelsLast"&&(I=Ce(I,[0,4,1,2,3])),this.bias!==null&&(I=qa(I,this.bias.read(),this.dataFormat)),this.activation!==null&&(I=this.activation.apply(I)),I})}computeOutputShape(e){e=at(e);let t=e.slice(),n,a,r,s;this.dataFormat==="channelsFirst"?(n=1,a=2,r=3,s=4):(n=4,a=1,r=2,s=3);let i=this.kernelSize[0],o=this.kernelSize[1],l=this.kernelSize[2],u=this.strides[0],p=this.strides[1],d=this.strides[2];return t[n]=this.filters,t[a]=ar(t[a],u,i,this.padding),t[r]=ar(t[r],p,o,this.padding),t[s]=ar(t[s],d,l,this.padding),t}getConfig(){let e=super.getConfig();return delete e.dilationRate,e}};$w.className="Conv3DTranspose";ne.registerClass($w);var qN=class extends Qc{constructor(e,t){if(super(e,t),this.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",this.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",this.depthwiseKernel=null,this.pointwiseKernel=null,t.filters==null)throw new V("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(t.kernelInitializer!=null||t.kernelRegularizer!=null||t.kernelConstraint!=null)throw new V("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(t.padding!=null&&t.padding!=="same"&&t.padding!=="valid")throw new V(`SeparableConv${this.rank}D supports only padding modes: 'same' and 'valid', but received ${JSON.stringify(t.padding)}`);this.depthMultiplier=t.depthMultiplier==null?1:t.depthMultiplier,this.depthwiseInitializer=St(t.depthwiseInitializer||this.DEFAULT_DEPTHWISE_INITIALIZER),this.depthwiseRegularizer=Tt(t.depthwiseRegularizer),this.depthwiseConstraint=Kt(t.depthwiseConstraint),this.pointwiseInitializer=St(t.depthwiseInitializer||this.DEFAULT_POINTWISE_INITIALIZER),this.pointwiseRegularizer=Tt(t.pointwiseRegularizer),this.pointwiseConstraint=Kt(t.pointwiseConstraint)}build(e){if(e=at(e),e.length{e=Me(e);let n;if(this.rank===1)throw new Re("1D separable convolution is not implemented yet.");return this.rank===2&&(this.dataFormat==="channelsFirst"&&(e=Ce(e,[0,2,3,1])),n=Ts(e,this.depthwiseKernel.read(),this.pointwiseKernel.read(),this.strides,this.padding,this.dilationRate,"NHWC")),this.useBias&&(n=qa(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),this.dataFormat==="channelsFirst"&&(n=Ce(n,[0,3,1,2])),n})}getConfig(){let e=super.getConfig();return delete e.rank,delete e.kernelInitializer,delete e.kernelRegularizer,delete e.kernelConstraint,e.depthwiseInitializer=Ct(this.depthwiseInitializer),e.pointwiseInitializer=Ct(this.pointwiseInitializer),e.depthwiseRegularizer=pt(this.depthwiseRegularizer),e.pointwiseRegularizer=pt(this.pointwiseRegularizer),e.depthwiseConstraint=qt(this.depthwiseConstraint),e.pointwiseConstraint=qt(this.pointwiseConstraint),e}};qN.className="SeparableConv";var Fw=class extends qN{constructor(e){super(2,e)}};Fw.className="SeparableConv2D";ne.registerClass(Fw);var Lf=class extends Qc{constructor(e){super(1,e),Lf.verifyArgs(e),this.inputSpec=[{ndim:3}]}getConfig(){let e=super.getConfig();return delete e.rank,delete e.dataFormat,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!Qv(e.kernelSize,"number",1,1))throw new V(`Conv1D expects config.kernelSize to be number or number[] with length 1, but received ${JSON.stringify(e.kernelSize)}.`)}};Lf.className="Conv1D";ne.registerClass(Lf);var Dw=class extends qe{constructor(e){super(e),typeof e.cropping=="number"?this.cropping=[[e.cropping,e.cropping],[e.cropping,e.cropping]]:typeof e.cropping[0]=="number"?this.cropping=[[e.cropping[0],e.cropping[0]],[e.cropping[1],e.cropping[1]]]:this.cropping=e.cropping,this.dataFormat=e.dataFormat===void 0?"channelsLast":e.dataFormat,this.inputSpec=[{ndim:4}]}computeOutputShape(e){return this.dataFormat==="channelsFirst"?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]}call(e,t){return P(()=>{if(e=Me(e),this.dataFormat==="channelsLast"){let n=lh(e,this.cropping[0][0],e.shape[1]-this.cropping[0][0]-this.cropping[0][1],2);return lh(n,this.cropping[1][0],e.shape[2]-this.cropping[1][1]-this.cropping[1][0],3)}else{let n=lh(e,this.cropping[0][0],e.shape[2]-this.cropping[0][0]-this.cropping[0][1],3);return lh(n,this.cropping[1][0],e.shape[3]-this.cropping[1][1]-this.cropping[1][0],4)}})}getConfig(){let e={cropping:this.cropping,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}};Dw.className="Cropping2D";ne.registerClass(Dw);var Rw=class extends qe{constructor(e){super(e),this.DEFAULT_SIZE=[2,2],this.inputSpec=[{ndim:4}],this.size=e.size==null?this.DEFAULT_SIZE:e.size,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Rt(this.dataFormat),this.interpolation=e.interpolation==null?"nearest":e.interpolation,B4(this.interpolation)}computeOutputShape(e){if(this.dataFormat==="channelsFirst"){let t=e[2]==null?null:this.size[0]*e[2],n=e[3]==null?null:this.size[1]*e[3];return[e[0],e[1],t,n]}else{let t=e[1]==null?null:this.size[0]*e[1],n=e[2]==null?null:this.size[1]*e[2];return[e[0],t,n,e[3]]}}call(e,t){return P(()=>{let n=Me(e),a=n.shape;if(this.dataFormat==="channelsFirst"){n=Ce(n,[0,2,3,1]);let r=this.size[0]*a[2],s=this.size[1]*a[3],i=this.interpolation==="nearest"?Nr.resizeNearestNeighbor(n,[r,s]):Nr.resizeBilinear(n,[r,s]);return Ce(i,[0,3,1,2])}else{let r=this.size[0]*a[1],s=this.size[1]*a[2];return this.interpolation==="nearest"?Nr.resizeNearestNeighbor(n,[r,s]):Nr.resizeBilinear(n,[r,s])}})}getConfig(){let e={size:this.size,dataFormat:this.dataFormat,interpolation:this.interpolation},t=super.getConfig();return Object.assign(e,t),e}};Rw.className="UpSampling2D";ne.registerClass(Rw);function $U(e,t,n=[1,1],a="valid",r,s){return P(()=>{r==null&&(r=Ga()),Rt(r);let i=_w(e,r);if(e.rank!==4)throw new V(`Input for depthwiseConv2d is required to be 4-D, but is instead ${e.rank}-D`);if(t.rank!==4)throw new V(`depthwiseKernel is required to be 4-D, but is instead ${t.rank}-D`);return i=ks(i,t,n,a==="same"?"same":"valid","NHWC",s),r==="channelsFirst"&&(i=Ce(i,[0,3,1,2])),i})}var Mw=class extends Ew{constructor(e){super(2,e),this.depthwiseKernel=null,this.depthMultiplier=e.depthMultiplier==null?1:e.depthMultiplier,this.depthwiseInitializer=St(e.depthwiseInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.depthwiseConstraint=Kt(e.depthwiseConstraint),this.depthwiseRegularizer=Tt(e.depthwiseRegularizer)}build(e){if(e=at(e),e.length<4)throw new V(`Inputs to DepthwiseConv2D should have rank 4. Received input shape: ${JSON.stringify(e)}.`);let t=this.dataFormat==="channelsFirst"?1:3;if(e[t]==null||e[t]<0)throw new V(`The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not (${e[t]}).`);let n=e[t],a=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",a,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return P(()=>{e=Me(e);let n=$U(e,this.depthwiseKernel.read(),this.strides,this.padding,this.dataFormat,null);return this.useBias&&(n=qa(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),n})}computeOutputShape(e){e=at(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2],a=this.dataFormat==="channelsFirst"?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,r=Va(t,this.kernelSize[0],this.padding,this.strides[0]),s=Va(n,this.kernelSize[1],this.padding,this.strides[1]);return this.dataFormat==="channelsFirst"?[e[0],a,r,s]:[e[0],r,s,a]}getConfig(){let e=super.getConfig();return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=Ct(this.depthwiseInitializer),e.depthwiseRegularizer=pt(this.depthwiseRegularizer),e.depthwiseConstraint=qt(this.depthwiseRegularizer),e}};Mw.className="DepthwiseConv2D";ne.registerClass(Mw);function KN(e,t,n,a){if(Array.isArray(e)){if(t!=null||n!=null)throw new V("When inputs is an array, neither initialState or constants should be provided");a!=null&&(n=e.slice(e.length-a,e.length),e=e.slice(0,e.length-a)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function r(s){return s==null||Array.isArray(s)?s:[s]}return t=r(t),n=r(n),{inputs:e,initialState:t,constants:n}}function XN(e,t,n,a=!1,r,s,i=!1,o=!1){return P(()=>{let l=t.shape.length;if(l<3)throw new V(`Input should be at least 3D, but is ${l}D.`);let u=[1,0].concat(Ua(2,l));if(t=Ce(t,u),s!=null)throw new Re("The rnn() functoin of the deeplearn.js backend does not support constants yet.");i&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),r!=null&&(r=oe(oe(r,"bool"),"float32"),r.rank===l-1&&(r=hn(r,-1)),r=Ce(r,u)),a&&(t=fa(t,0),r!=null&&(r=fa(r,0)));let p=[],d,c=n,h=t.shape[0],m=ct(t),f;r!=null&&(f=ct(r));for(let b=0;be(y,c));if(r==null)d=x[0],c=x[1];else{let w=P(()=>{let I=f[b],T=pe(ta(I),I),C=Y(z(x[0],I),z(c[0],T)),E=c.map((A,R)=>Y(z(x[1][R],I),z(A,T)));return{output:C,newStates:E}});d=w.output,c=w.newStates}o&&p.push(d)}let g;return o&&(g=Ft(p,1)),[d,g,c]})}var hr=class extends qe{constructor(e){super(e);let t;if(e.cell==null)throw new V("cell property is missing for the constructor of RNN.");if(Array.isArray(e.cell)?t=new Wf({cells:e.cell}):t=e.cell,t.stateSize==null)throw new V("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");this.cell=t,this.returnSequences=e.returnSequences==null?!1:e.returnSequences,this.returnState=e.returnState==null?!1:e.returnState,this.goBackwards=e.goBackwards==null?!1:e.goBackwards,this._stateful=e.stateful==null?!1:e.stateful,this.unroll=e.unroll==null?!1:e.unroll,this.supportsMasking=!0,this.inputSpec=[new zt({ndim:3})],this.stateSpec=null,this.states_=null,this.numConstants=null,this.keptStates=[]}getStates(){if(this.states_==null){let e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;return Ua(0,e).map(t=>null)}else return this.states_}setStates(e){this.states_=e}computeOutputShape(e){Gy(e)&&(e=e[0]),e=e;let t=this.cell.stateSize;Array.isArray(t)||(t=[t]);let n=t[0],a;if(this.returnSequences?a=[e[0],e[1],n]:a=[e[0],n],this.returnState){let r=[];for(let s of t)r.push([e[0],s]);return[a].concat(r)}else return a}computeMask(e,t){return P(()=>{Array.isArray(t)&&(t=t[0]);let n=this.returnSequences?t:null;if(this.returnState){let a=this.states.map(r=>null);return[n].concat(a)}else return n})}get states(){if(this.states_==null){let e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,t=[];for(let n=0;ns.shape[s.shape.length-1]),r))throw new V(`An initialState was passed that is not compatible with cell.stateSize. Received stateSpec=${this.stateSpec}; However cell.stateSize is ${this.cell.stateSize}`)}else this.stateSpec=r.map(s=>new zt({shape:[null,s]}));this.stateful&&this.resetStates()}resetStates(e,t=!1){P(()=>{if(!this.stateful)throw new kr("Cannot call resetStates() on an RNN Layer that is not stateful.");let n=this.inputSpec[0].shape[0];if(n==null)throw new V("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(this.states_==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(a=>It([n,a])):this.states_=[It([n,this.cell.stateSize])];else if(e==null)$e(this.states_),this.keptStates!=null&&($e(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(a=>It([n,a])):this.states_[0]=It([n,this.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==this.states_.length)throw new V(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${e.length} state value(s). Input received: ${e}`);t===!0?this.keptStates.push(this.states_.slice()):$e(this.states_);for(let a=0;aZt(a.clone()))})}apply(e,t){let n=t==null?null:t.initialState,a=t==null?null:t.constants;t==null&&(t={});let r=KN(e,n,a,this.numConstants);e=r.inputs,n=r.initialState,a=r.constants;let s=[],i=[];if(n!=null){t.initialState=n,s=s.concat(n),this.stateSpec=[];for(let o of n)this.stateSpec.push(new zt({shape:o.shape}));i=i.concat(this.stateSpec)}if(a!=null&&(t.constants=a,s=s.concat(a),this.numConstants=a.length),s[0]instanceof za){let o=[e].concat(s),l=this.inputSpec.concat(i),u=this.inputSpec;this.inputSpec=l;let p=super.apply(o,t);return this.inputSpec=u,p}else return super.apply(e,t)}call(e,t){return P(()=>{let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;e=Me(e),r==null&&(this.stateful?r=this.states_:r=this.getInitialState(e));let s=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;if(r.length!==s)throw new V(`RNN Layer has ${s} state(s) but was passed ${r.length} initial state(s).`);this.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");let i={training:a},o=XN((c,h)=>{let m=this.cell.call([c].concat(h),i);return[m[0],m.slice(1)]},e,r,this.goBackwards,n,null,this.unroll,this.returnSequences),l=o[0],u=o[1],p=o[2];this.stateful&&this.resetStates(p,a);let d=this.returnSequences?u:l;return this.returnState?[d].concat(p):d})}getInitialState(e){return P(()=>{let t=It(e.shape);return t=fe(t,[1,2]),t=Kc(t),Array.isArray(this.cell.stateSize)?this.cell.stateSize.map(n=>n>1?Vy(t,[1,n]):t):this.cell.stateSize>1?[Vy(t,[1,this.cell.stateSize])]:[t]})}get trainableWeights(){return this.trainable?this.cell.trainableWeights:[]}get nonTrainableWeights(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),this.cell!=null&&this.cell.setFastWeightInitDuringBuild(e)}getConfig(){let e=super.getConfig(),t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};this.numConstants!=null&&(t.numConstants=this.numConstants);let n=this.cell.getConfig();return this.getClassName()===hr.className&&(t.cell={className:this.cell.getClassName(),config:n}),Object.assign({},n,e,t)}static fromConfig(e,t,n={}){let a=t.cell,r=Wa(a,n);return new e(Object.assign(t,{cell:r}))}};hr.className="RNN";ne.registerClass(hr);var nd=class extends qe{},zf=class extends nd{constructor(e){super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=e.units,Jt(this.units,"units"),this.activation=us(e.activation==null?this.DEFAULT_ACTIVATION:e.activation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=St(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=Tt(e.kernelRegularizer),this.recurrentRegularizer=Tt(e.recurrentRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.kernelConstraint=Kt(e.kernelConstraint),this.recurrentConstraint=Kt(e.recurrentConstraint),this.biasConstraint=Kt(e.biasConstraint),this.dropout=wl([1,os([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=wl([1,os([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.dropoutFunc=e.dropoutFunc,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){e=at(e),this.kernel=this.addWeight("kernel",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return P(()=>{if(e=e,e.length!==2)throw new V(`SimpleRNNCell expects 2 input Tensors, got ${e.length}.`);let n=e[1];e=e[0];let a=t.training==null?!1:t.training;0ta(e),rate:this.dropout,training:a,dropoutFunc:this.dropoutFunc})),0ta(n),rate:this.recurrentDropout,training:a,dropoutFunc:this.dropoutFunc}));let r,s=this.dropoutMask,i=this.recurrentDropoutMask;s!=null?r=ir(z(e,s),this.kernel.read()):r=ir(e,this.kernel.read()),this.bias!=null&&(r=qa(r,this.bias.read())),i!=null&&(n=z(n,i));let o=Y(r,ir(n,this.recurrentKernel.read()));return this.activation!=null&&(o=this.activation.apply(o)),[o,o]})}getConfig(){let e=super.getConfig(),t={units:this.units,activation:ls(this.activation),useBias:this.useBias,kernelInitializer:Ct(this.kernelInitializer),recurrentInitializer:Ct(this.recurrentInitializer),biasInitializer:Ct(this.biasInitializer),kernelRegularizer:pt(this.kernelRegularizer),recurrentRegularizer:pt(this.recurrentRegularizer),biasRegularizer:pt(this.biasRegularizer),activityRegularizer:pt(this.activityRegularizer),kernelConstraint:qt(this.kernelConstraint),recurrentConstraint:qt(this.recurrentConstraint),biasConstraint:qt(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign({},e,t)}};zf.className="SimpleRNNCell";ne.registerClass(zf);var Pw=class extends hr{constructor(e){e.cell=new zf(e),super(e)}call(e,t){return P(()=>{this.cell.dropoutMask!=null&&($e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&($e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}static fromConfig(e,t){return new e(t)}};Pw.className="SimpleRNN";ne.registerClass(Pw);var Bf=class extends nd{constructor(e){if(super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",e.resetAfter)throw new V("GRUCell does not support reset_after parameter set to true.");this.units=e.units,Jt(this.units,"units"),this.activation=us(e.activation===void 0?this.DEFAULT_ACTIVATION:e.activation),this.recurrentActivation=us(e.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=St(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=Tt(e.kernelRegularizer),this.recurrentRegularizer=Tt(e.recurrentRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.kernelConstraint=Kt(e.kernelConstraint),this.recurrentConstraint=Kt(e.recurrentConstraint),this.biasConstraint=Kt(e.biasConstraint),this.dropout=wl([1,os([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=wl([1,os([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.dropoutFunc=e.dropoutFunc,this.implementation=e.implementation,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){e=at(e);let t=e[e.length-1];this.kernel=this.addWeight("kernel",[t,this.units*3],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*3],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units*3],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return P(()=>{if(e=e,e.length!==2)throw new V(`GRUCell expects 2 input Tensors (inputs, h, c), got ${e.length}.`);let n=t.training==null?!1:t.training,a=e[1];e=e[0],0ta(e),rate:this.dropout,training:n,count:3,dropoutFunc:this.dropoutFunc})),0ta(a),rate:this.recurrentDropout,training:n,count:3,dropoutFunc:this.dropoutFunc}));let r=this.dropoutMask,s=this.recurrentDropoutMask,i,o,l;0{this.cell.dropoutMask!=null&&($e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&($e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}static fromConfig(e,t){return t.implmentation===0&&(t.implementation=1),new e(t)}};Ow.className="GRU";ne.registerClass(Ow);var ad=class extends nd{constructor(e){super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=e.units,Jt(this.units,"units"),this.activation=us(e.activation===void 0?this.DEFAULT_ACTIVATION:e.activation),this.recurrentActivation=us(e.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=St(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.unitForgetBias=e.unitForgetBias,this.kernelRegularizer=Tt(e.kernelRegularizer),this.recurrentRegularizer=Tt(e.recurrentRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.kernelConstraint=Kt(e.kernelConstraint),this.recurrentConstraint=Kt(e.recurrentConstraint),this.biasConstraint=Kt(e.biasConstraint),this.dropout=wl([1,os([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=wl([1,os([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.dropoutFunc=e.dropoutFunc,this.implementation=e.implementation,this.stateSize=[this.units,this.units],this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){var t;e=at(e);let n=e[e.length-1];this.kernel=this.addWeight("kernel",[n,this.units*4],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*4],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint);let a;if(this.useBias){if(this.unitForgetBias){let r=this.biasInitializer,s=this.units;a=new(t=class extends Da{apply(i,o){let l=r.apply([s]),u=new _f().apply([s]),p=r.apply([s*2]);return Nk(Nk(l,u),p)}},t.className="CustomInit",t)}else a=this.biasInitializer;this.bias=this.addWeight("bias",[this.units*4],null,a,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0}call(e,t){return P(()=>{let n=t.training==null?!1:t.training;if(e=e,e.length!==3)throw new V(`LSTMCell expects 3 input Tensors (inputs, h, c), got ${e.length}.`);let a=e[1],r=e[2];e=e[0],0ta(e),rate:this.dropout,training:n,count:4,dropoutFunc:this.dropoutFunc})),0ta(a),rate:this.recurrentDropout,training:n,count:4,dropoutFunc:this.dropoutFunc}));let s=this.dropoutMask,i=this.recurrentDropoutMask,o,l,u,p;0{this.cell.dropoutMask!=null&&($e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&($e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}static fromConfig(e,t){return t.implmentation===0&&(t.implementation=1),new e(t)}};Lw.className="LSTM";ne.registerClass(Lw);var Wf=class extends nd{constructor(e){super(e),this.cells=e.cells}get stateSize(){let e=[];for(let t of this.cells.slice().reverse())Array.isArray(t.stateSize)?e.push(...t.stateSize):e.push(t.stateSize);return e}call(e,t){return P(()=>{e=e;let n=e.slice(1),a=[];for(let i of this.cells.slice().reverse())Array.isArray(i.stateSize)?a.push(n.splice(0,i.stateSize.length)):a.push(n.splice(0,1));a.reverse();let r=[],s;for(let i=0;i{Ys(`RNNCell_${a}`,()=>{n.build(e),Array.isArray(n.stateSize)?t=n.stateSize[0]:t=n.stateSize,e=[e[0],t]})}),this.built=!0}getConfig(){let e=super.getConfig(),t=a=>({className:a.getClassName(),config:a.getConfig()}),n={cells:this.cells.map(t)};return Object.assign({},e,n)}static fromConfig(e,t,n={}){let a=[];for(let r of t.cells)a.push(Wa(r,n));return new e({cells:a})}get trainableWeights(){if(!this.trainable)return[];let e=[];for(let t of this.cells)e.push(...t.trainableWeights);return e}get nonTrainableWeights(){let e=[];for(let t of this.cells)e.push(...t.nonTrainableWeights);if(!this.trainable){let t=[];for(let n of this.cells)t.push(...n.trainableWeights);return t.concat(e)}return e}getWeights(){let e=[];for(let t of this.cells)e.push(...t.weights);return Hy(e)}setWeights(e){let t=[];for(let n of this.cells){let a=n.weights.length,r=e.splice(a);for(let s=0;ss!=null?s(t(),n):oN(t(),n),o=()=>Yc(i,t,a);return!r||r<=1?Zt(o().clone()):Array(r).fill(void 0).map(o).map(l=>Zt(l.clone()))}var FU=function(e,t){var n={};for(var a in e)Object.prototype.hasOwnProperty.call(e,a)&&t.indexOf(a)<0&&(n[a]=e[a]);if(e!=null&&typeof Object.getOwnPropertySymbols=="function")for(var r=0,a=Object.getOwnPropertySymbols(e);r{if(this.cell.dropoutMask!=null&&($e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&($e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null),t&&t.constants)throw new V("ConvRNN2D cell does not support constants");let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}computeOutputShape(e){let t=this.computeSingleOutputShape(e);return this.returnSequences||(t=[t[0],...t.slice(2)]),this.returnState&&(t=[t,...Array(2).fill([e[0],...t.slice(-3)])]),t}getInitialState(e){return P(()=>{let{stateSize:t}=this.cell,n=e.shape,a=this.computeSingleOutputShape(n),r=[a[0],...a.slice(2)],s=It(r);return Array.isArray(t)?Array(t.length).fill(s):[s]})}resetStates(e,t=!1){P(()=>{if(!this.stateful)throw new kr("Cannot call resetStates() on an RNN Layer that is not stateful.");let n=this.inputSpec[0].shape,a=this.computeSingleOutputShape(n),r=[a[0],...a.slice(2)];if(n[0]==null)throw new V("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(this.getStates()==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>It(r)):this.states_=[It(r)];else if(e==null)$e(this.states_),this.keptStates!=null&&($e(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>It(r)):this.states_[0]=It(r);else{if(Array.isArray(e)||(e=[e]),e.length!==this.states_.length)throw new V(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${e.length} state value(s). Input received: ${e}`);t?this.keptStates.push(this.states_.slice()):$e(this.states_);for(let s=0;sZt(s.clone()))})}computeSingleOutputShape(e){let{dataFormat:t,filters:n,kernelSize:a,padding:r,strides:s,dilationRate:i}=this.cell,o=t==="channelsFirst",l=e[o?3:2],u=e[o?4:3],p=Va(l,a[0],r,s[0],i[0]),d=Va(u,a[1],r,s[1],i[1]);return[...e.slice(0,2),...o?[n,p,d]:[p,d,n]]}};YN.className="ConvRNN2D";var Vf=class extends ad{constructor(e){let{filters:t,kernelSize:n,strides:a,padding:r,dataFormat:s,dilationRate:i}=e;super(Object.assign({},e,{units:t})),this.filters=t,Jt(this.filters,"filters"),this.kernelSize=cl(n,2,"kernelSize"),this.kernelSize.forEach(o=>Jt(o,"kernelSize")),this.strides=cl(a||1,2,"strides"),this.strides.forEach(o=>Jt(o,"strides")),this.padding=r||"valid",ya(this.padding),this.dataFormat=s||"channelsLast",Rt(this.dataFormat),this.dilationRate=cl(i||1,2,"dilationRate"),this.dilationRate.forEach(o=>Jt(o,"dilationRate"))}build(e){var t;e=at(e);let n=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[n]==null)throw new V(`The channel dimension of the input should be defined. Found ${e[n]}`);let a=e[n],r=4,s=this.kernelSize.concat([a,this.filters*r]);this.kernel=this.addWeight("kernel",s,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);let i=this.kernelSize.concat([this.filters,this.filters*r]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",i,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){let o;if(this.unitForgetBias){let l=this.biasInitializer,u=this.filters;o=new(t=class extends Da{apply(p,d){let c=l.apply([u]),h=Zn([u]),m=l.apply([u*2]);return ew([c,h,m])}},t.className="CustomInit",t)}else o=this.biasInitializer;this.bias=this.addWeight("bias",[this.filters*r],null,o,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0}call(e,t){return P(()=>{if(e.length!==3)throw new V(`ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got ${e.length}.`);let n=t.training||!1,a=e[0],r=e[1],s=e[2],i=4;0ta(a),rate:this.dropout,training:n,count:i,dropoutFunc:this.dropoutFunc}));let o=this.dropoutMask,l=(Z,Q,ee)=>!Q||!Q[ee]?Z:z(Q[ee],Z),u=l(a,o,0),p=l(a,o,1),d=l(a,o,2),c=l(a,o,3);0ta(r),rate:this.recurrentDropout,training:n,count:i,dropoutFunc:this.dropoutFunc}));let h=this.recurrentDropoutMask,m=l(r,h,0),f=l(r,h,1),g=l(r,h,2),b=l(r,h,3),y=3,[x,w,I,T]=Ln(this.kernel.read(),i,y),[C,E,A,R]=this.useBias?Ln(this.bias.read(),i):[null,null,null,null];u=this.inputConv(u,x,C,this.padding),p=this.inputConv(p,w,E,this.padding),d=this.inputConv(d,I,A,this.padding),c=this.inputConv(c,T,R,this.padding);let[F,S,M,W]=Ln(this.recurrentKernel.read(),i,y);m=this.recurrentConv(m,F),f=this.recurrentConv(f,S),g=this.recurrentConv(g,M),b=this.recurrentConv(b,W);let U=this.recurrentActivation.apply(Y(u,m)),G=this.recurrentActivation.apply(Y(p,f)),q=Y(z(G,s),z(U,this.activation.apply(Y(d,g)))),K=z(this.recurrentActivation.apply(Y(c,b)),this.activation.apply(q));return[K,K,q]})}getConfig(){let e=super.getConfig(),{units:t}=e,n=FU(e,["units"]),a={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign({},n,a)}inputConv(e,t,n,a){let r=$t(e,t,this.strides,a||"valid",this.dataFormat==="channelsFirst"?"NCHW":"NHWC",this.dilationRate);return n?qa(r,n,this.dataFormat):r}recurrentConv(e,t){return $t(e,t,1,"same",this.dataFormat==="channelsFirst"?"NCHW":"NHWC")}};Vf.className="ConvLSTM2DCell";ne.registerClass(Vf);var zw=class extends YN{constructor(e){let t=new Vf(e);super(Object.assign({},e,{cell:t}))}static fromConfig(e,t){return new e(t)}};zw.className="ConvLSTM2D";ne.registerClass(zw);var Uf=class extends qe{constructor(e){super(e),this.rate=Math.max(Math.min(e.rate,1),0),this.noiseShape=e.noiseShape,this.seed=e.seed,this.supportsMasking=!0}getNoiseShape(e){if(this.noiseShape==null)return this.noiseShape;let t=e.shape,n=[];for(let a=0;a{this.invokeCallHook(e,t);let n=Me(e);if(0oN(n,this.rate,r,this.seed),()=>n,a)}return e})}getConfig(){let e={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},t=super.getConfig();return Object.assign(e,t),e}dispose(){return super.dispose()}};Uf.className="Dropout";ne.registerClass(Uf);var Bw=class extends Uf{constructor(e){super(e),this.inputSpec=[{ndim:3}]}getNoiseShape(e){let t=e.shape;return[t[0],1,t[2]]}};Bw.className="SpatialDropout1D";ne.registerClass(Bw);var Ww=class extends qe{constructor(e){if(super(e),this.activation=null,this.useBias=!0,this.kernel=null,this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",e.batchInputShape==null&&e.inputShape==null&&e.inputDim!=null){let t=null;e.batchSize!=null&&(t=e.batchSize),this.batchInputShape=[t,e.inputDim]}this.units=e.units,Jt(this.units,"units"),this.activation=us(e.activation),e.useBias!=null&&(this.useBias=e.useBias),this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelConstraint=Kt(e.kernelConstraint),this.biasConstraint=Kt(e.biasConstraint),this.kernelRegularizer=Tt(e.kernelRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.activityRegularizer=Tt(e.activityRegularizer),this.supportsMasking=!0,this.inputSpec=[{minNDim:2}]}build(e){e=at(e);let t=e[e.length-1];this.kernel==null&&(this.kernel=this.addWeight("kernel",[t,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:{[-1]:t}}],this.built=!0}computeOutputShape(e){e=at(e);let t=e.slice();return t[t.length-1]=this.units,t}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Me(e),a=eN(this.activation.getClassName()),r;return a!=null?r=ir(n,this.kernel.read(),a,this.bias?this.bias.read():null):(r=ir(n,this.kernel.read()),this.bias!=null&&(r=qa(r,this.bias.read())),this.activation!=null&&(r=this.activation.apply(r))),r})}getConfig(){let e={units:this.units,activation:ls(this.activation),useBias:this.useBias,kernelInitializer:Ct(this.kernelInitializer),biasInitializer:Ct(this.biasInitializer),kernelRegularizer:pt(this.kernelRegularizer),biasRegularizer:pt(this.biasRegularizer),activityRegularizer:pt(this.activityRegularizer),kernelConstraint:qt(this.kernelConstraint),biasConstraint:qt(this.biasConstraint)},t=super.getConfig();return Object.assign(e,t),e}};Ww.className="Dense";ne.registerClass(Ww);var Vw=class extends qe{constructor(e){e=e||{},super(e),this.inputSpec=[{minNDim:3}],this.dataFormat=e.dataFormat}computeOutputShape(e){e=at(e);for(let t of e.slice(1))if(t==null)throw new V(`The shape of the input to "Flatten" is not fully defined (got ${e.slice(1)}). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.`);return[e[0],as(e,1)]}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Me(e);if(this.dataFormat==="channelsFirst"&&n.rank>1){let a=[0];for(let r=2;r{this.invokeCallHook(e,t);let n=Me(e);return this.activation.apply(n)})}getConfig(){let e={activation:ls(this.activation)},t=super.getConfig();return Object.assign(e,t),e}};Uw.className="Activation";ne.registerClass(Uw);var Gw=class extends qe{constructor(e){super(e),this.n=e.n,this.inputSpec=[{ndim:2}]}computeOutputShape(e){return[e[0],this.n,e[1]]}call(e,t){return P(()=>(e=Me(e),G4(e,this.n)))}getConfig(){let e={n:this.n},t=super.getConfig();return Object.assign(e,t),e}};Gw.className="RepeatVector";ne.registerClass(Gw);var Hw=class extends qe{constructor(e){super(e),this.targetShape=e.targetShape;for(let t=0;t{this.invokeCallHook(e,t);let n=Me(e),a=n.shape,r=a.slice(0,1).concat(this.fixUnknownDimension(a.slice(1),this.targetShape));return B(n,r)})}getConfig(){let e={targetShape:this.targetShape},t=super.getConfig();return Object.assign(e,t),e}};Hw.className="Reshape";ne.registerClass(Hw);var jw=class extends qe{constructor(e){if(super(e),e.dims==null)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(e.dims))throw new Error(`Permute constructor requires \`dims\` to be an Array, but received ${e.dims} instead.`);let t=Ua(1,e.dims.length+1);if(!v.arraysEqual(e.dims.slice().sort(),t))throw new Error("Invalid permutation `dims`: "+JSON.stringify(e.dims)+" `dims` must contain consecutive integers starting from 1.");this.dims=e.dims,this.dimsIncludingBatch=[0].concat(this.dims),this.inputSpec=[new zt({ndim:this.dims.length+1})]}computeOutputShape(e){e=at(e);let t=e.slice();return this.dims.forEach((n,a)=>{t[a+1]=e[n]}),t}call(e,t){return Ce(Me(e),this.dimsIncludingBatch)}getConfig(){let e={dims:this.dims},t=super.getConfig();return Object.assign(e,t),e}};jw.className="Permute";ne.registerClass(jw);var qw=class extends qe{constructor(e){super(e==null?{}:e),this.supportsMasking=!0,e!=null?this.maskValue=e.maskValue==null?0:e.maskValue:this.maskValue=0}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={maskValue:this.maskValue};return Object.assign(t,e),t}computeMask(e,t){let n=Me(e),a=-1;return Yp(oi(n,this.maskValue),a)}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Me(e),a=-1,r=!0,s=Yp(oi(n,this.maskValue),a,r);return z(n,oe(s,n.dtype))})}};qw.className="Masking";ne.registerClass(qw);var Kw=class extends qe{constructor(e){if(super(e),this.embeddings=null,this.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",e.batchInputShape==null&&e.inputShape==null){let t=null;e.batchSize!=null&&(t=e.batchSize),e.inputLength==null?this.batchInputShape=[t,null]:this.batchInputShape=[t].concat(xt(e.inputLength))}this.inputDim=e.inputDim,Jt(this.inputDim,"inputDim"),this.outputDim=e.outputDim,Jt(this.outputDim,"outputDim"),this.embeddingsInitializer=St(e.embeddingsInitializer||this.DEFAULT_EMBEDDINGS_INITIALIZER),this.embeddingsRegularizer=Tt(e.embeddingsRegularizer),this.activityRegularizer=Tt(e.activityRegularizer),this.embeddingsConstraint=Kt(e.embeddingsConstraint),this.maskZero=e.maskZero,this.supportsMasking=e.maskZero,this.inputLength=e.inputLength}build(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0}warnOnIncompatibleInputShape(e){}computeMask(e,t){return P(()=>this.maskZero?(e=Me(e),oi(e,je(e))):null)}computeOutputShape(e){if(e=at(e),this.inputLength==null)return[...e,this.outputDim];let t=xt(this.inputLength);if(t.length!==e.length-1)throw new V(`"inputLength" is ${this.inputLength}, but received input shape has shape ${e}`);{let n=0;for(let a=0;a{this.invokeCallHook(e,t);let n=Me(e);n.dtype!=="int32"&&(n=qc(n,"int32"));let a=iN(this.embeddings.read(),B(n,[n.size]));return B(a,at(this.computeOutputShape(n.shape)))})}getConfig(){let e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:Ct(this.embeddingsInitializer),embeddingsRegularizer:pt(this.embeddingsRegularizer),activityRegularizer:pt(this.activityRegularizer),embeddingsConstraint:qt(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},t=super.getConfig();return Object.assign(e,t),e}};Kw.className="Embedding";ne.registerClass(Kw);var xo=class extends qe{constructor(e){super(e||{}),this.supportsMasking=!0}mergeFunction(e){throw new Re}computeElementwiseOpOutputShape(e,t){if(e==null||t==null)return null;if(e.length1)throw new V(`Can not merge tensors with different batch sizes. Got tensors with shapes: ${JSON.stringify(e)}.`);let n=e[0]==null?null:e[0].slice(1);for(let r=1;rr.length);e.indexOf(null)===-1&&ns(a).length===1?this.reshapeRequired=!1:this.reshapeRequired=!0}call(e,t){return P(()=>{if(e=e,this.reshapeRequired){let n=[],a=e.map(r=>r.rank);if(a.indexOf(null)===-1){let r=os(a);for(let s of e){let i=s.rank;for(let o=0;o1){let u=Ua(1,l).concat([0]);n.push(Ce(o,u)),r=!0}else n.push(o)}let s=this.mergeFunction(n),i=s.rank;if(r){if(i==null){let o=s.shape,l=o.length,u=o[l-1],p=[u].concat(o.slice(0,o.length-1));s=B(Ce(B(s,[-1,u]),[1,0]),p)}else if(i>1){let o=[i-1].concat(Ua(0,i-1));s=Ce(s,o)}}return s}}else return this.mergeFunction(e)})}computeOutputShape(e){e=e;let t;e[0]==null?t=null:t=e[0].slice(1);for(let a=1;a{if(t==null)return null;if(!Array.isArray(t))throw new V("`mask` should be an Array");if(!Array.isArray(e))throw new V("`inputs` should be an Array");if(t.length!==e.length)throw new V(`The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths (${e.length} vs ${t.length})`);if(t.every(a=>a==null))return null;t=t.map(a=>a==null?a:hn(a,0));let n=t[0];for(let a=1;a{let t=e[0].clone();for(let n=1;n{let t=e[0].clone();for(let n=1;n{let t=e[0].clone();for(let n=1;n{let t=e[0];for(let n=1;n{let t=e[0];for(let n=1;n1)throw new V("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))}mergeFunction(e){return P(()=>ew(e,this.axis))}computeOutputShape(e){if(!(Array.isArray(e)&&Array.isArray(e[0])))throw new V("A `Concatenate` layer should be called on a list of inputs.");let t=e,n=t[0].slice(),a=this.axis<0?n.length+this.axis:this.axis;for(let r of t.slice(1)){if(n[a]==null||r[a]==null){n[a]=null;break}n[a]+=r[a]}return n}computeMask(e,t){if(t==null)return null;if(!Array.isArray(t))throw new V("`mask` should be an array for Concatenate");if(!Array.isArray(e))throw new V("`inputs` should be an array for Concatenate");if(t.length!==e.length)throw new V(`Mismatch in the length of mask (${t.length}) and the legnth of inputs (${e.length})`);return P(()=>{let n=!0;if(t.forEach(s=>{if(s!=null){n=!1;return}}),n)return null;let a=[];for(let s=0;s3||t.shape.length>3)throw new Re("batchDot is not implemented for tensors of 4D or higher rank yet");if(v.assert(e.shape.length>=2,()=>`batchDot requires the rank of x to be >= 2, but got ${e.shape.length}`),v.assert(e.shape.length>=2,()=>`batchDot requires the rank of y to be >= 2, but got ${t.shape.length}`),typeof n=="number"&&(n=[n,n]),e.dtype==="complex64"||t.dtype==="complex64")throw new Re("batchDot is not implemented for complex64-type Tensors yet.");let a=e.shape.length,r=t.shape.length;n==null&&(n=[a-1,r-2]);let s=n;return P(()=>{let i;if(a>r){i=a-r;let l=[];for(let u=0;ua){i=r-a;let l=[];for(let u=0;u0){let l;a>r?l=a+r-3:l=a-1;let u=[];for(let p=l;p"A `Dot` layer should be called on a list of exactly 2 inputs.");let t=e[0],n=e[1];if(t.length>3||n.length>3)throw new Re("Dot layer does not support tensors of 4D or higher rank yet.");let a=this.interpretAxes(t,n);if(t[a[0]]!==n[a[1]])throw new V(`Dimension incompatibility: ${t[a[0]]} !== ${n[a[1]]}`)}mergeFunction(e){if(e.length!==2)throw new V(`A \`Dot\` layer must be called on exactly 2 inputs, but received ${e.length} input(s).`);let t=e[0],n=e[1],a;return Array.isArray(this.axes)?a=this.axes.map((r,s)=>_p(r,e[s].shape.length)):a=[_p(this.axes,t.shape.length),_p(this.axes,n.shape.length)],this.normalize&&(t=Uh(t,a[0]),n=Uh(n,a[1])),DU(t,n,a)}interpretAxes(e,t){let n;return Array.isArray(this.axes)?n=this.axes:n=[_p(this.axes,e.length),_p(this.axes,t.length)],n}computeOutputShape(e){v.assert(Array.isArray(e)&&e.length===2&&Array.isArray(e[0])&&Array.isArray(e[1]),()=>"A `Dot` layer should be called on a list of exactly 2 inputs.");let t=e[0].slice(),n=e[1].slice();if(t.length>3||n.length>3)throw new Re("Dot layer does not support tensors of 4D or higher rank yet.");let a=this.interpretAxes(t,n);t.splice(a[0],1),n.splice(a[1],1),n.splice(0,1);let r=t.concat(n);return r.length===1&&r.push(1),r}computeMask(e,t){return null}getConfig(){let e={axes:this.axes,normalize:this.normalize},t=super.getConfig();return Object.assign(e,t),e}};t0.className="Dot";ne.registerClass(t0);var n0=class extends qe{constructor(e){super(e),this.supportsMasking=!0,this.stddev=e.stddev}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={stddev:this.stddev};return Object.assign(t,e),t}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Me(e);return Yc(()=>Y(Cf(n.shape,0,this.stddev),n),()=>n,t.training||!1)})}};n0.className="GaussianNoise";ne.registerClass(n0);var a0=class extends qe{constructor(e){super(e),this.supportsMasking=!0,this.rate=e.rate}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={rate:this.rate};return Object.assign(t,e),t}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Me(e);return this.rate>0&&this.rate<1?Yc(()=>{let a=Math.sqrt(this.rate/(1-this.rate));return z(n,Cf(n.shape,1,a))},()=>n,t.training||!1):n})}};a0.className="GaussianDropout";ne.registerClass(a0);var r0=class extends qe{constructor(e){super(e),this.supportsMasking=!0,this.rate=e.rate,this.noiseShape=e.noiseShape}_getNoiseShape(e){return this.noiseShape||Me(e).shape}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={rate:this.rate};return Object.assign(t,e),t}call(e,t){return P(()=>{if(this.rate<1&&this.rate>0){let n=this._getNoiseShape(e);return Yc(()=>{let a=Me(e),r=1.6732632423543772,s=1.0507009873554805,i=-r*s,o=Is(Wu(n),this.rate);o=qc(o,"float32");let l=((1-this.rate)*(1+this.rate*i**2))**-.5,u=-l*i*this.rate,p=Y(z(a,o),z(Y(o,-1),i));return Y(z(p,l),u)},()=>Me(e),t.training||!1)}return e})}};r0.className="AlphaDropout";ne.registerClass(r0);function tc(e,t,n,a,r,s=.001){let i;if(e.rank===2)i=av(e,t,n,a,r,s);else if(e.rank===3)i=rv(e,t,n,a,r,s);else if(e.rank===4)i=sv(e,t,n,a,r,s);else throw new Re(`batchNormalization is not implemented for array of rank ${e.rank} yet`);return i}function RU(e,t,n,a,r=.001){return P(()=>{let s=zc(e,a),i=s.mean,o=s.variance;return[tc(e,i,o,n,t,r),i,o]})}function MU(e,t,n,a,r=.001){return P(()=>{let s=zc(e,a),i=s.mean,o=s.variance,l=[];for(let h of Ua(0,e.rank))a.indexOf(h)!==-1?l.push(1):l.push(e.shape[h]);let u=B(i,l),p=B(o,l),d=t==null?null:B(t,l),c=n==null?null:B(n,l);return[tc(e,u,p,c,d,r),i,o]})}function PU(e,t,n,a,r=.001){return v.arraysEqual(a.slice().sort(),Ua(0,e.rank-1))?RU(e,t,n,a,r):MU(e,t,n,a,r)}var s0=class extends qe{constructor(e){e==null&&(e={}),super(e),this.supportsMasking=!0,this.axis=e.axis==null?-1:e.axis,this.momentum=e.momentum==null?.99:e.momentum,this.epsilon=e.epsilon==null?.001:e.epsilon,this.center=e.center==null?!0:e.center,this.scale=e.scale==null?!0:e.scale,this.betaInitializer=St(e.betaInitializer||"zeros"),this.gammaInitializer=St(e.gammaInitializer||"ones"),this.movingMeanInitializer=St(e.movingMeanInitializer||"zeros"),this.movingVarianceInitializer=St(e.movingVarianceInitializer||"ones"),this.betaConstraint=Kt(e.betaConstraint),this.gammaConstraint=Kt(e.gammaConstraint),this.betaRegularizer=Tt(e.betaRegularizer),this.gammaRegularizer=Tt(e.gammaRegularizer)}build(e){e=at(e);let t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(n==null)throw new V(`Axis ${t} of input tensor should have a defined dimension but the layer received an input with shape ${JSON.stringify(e)}.`);this.inputSpec=[new zt({ndim:e.length,axes:{[t]:n}})];let a=[n];this.scale&&(this.gamma=this.addWeight("gamma",a,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",a,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",a,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",a,null,this.movingVarianceInitializer,null,!1),this.built=!0}call(e,t){return P(()=>{let n=t.training==null?!1:t.training,a=Me(e),r=a.shape,s=r.length,i=Ua(0,s),o=this.axis>=0?this.axis:this.axis+s;i.splice(o,1);let l=li(1,s);l[o]=r[o];let u=i.slice();u.sort();let p=!v.arraysEqual(u,Ua(0,s).slice(0,s-1)),d=()=>{if(p){let g=B(this.movingMean.read(),l),b=B(this.movingVariance.read(),l),y=this.center?B(this.beta.read(),l):null,x=this.scale?B(this.gamma.read(),l):null;return tc(a,g,b,y,x,this.epsilon)}else return tc(a,this.movingMean.read(),this.movingVariance.read(),this.beta==null?null:this.beta.read(),this.gamma==null?null:this.gamma.read(),this.epsilon)};if(!n)return d();let[c,h,m]=PU(a,this.gamma.read(),this.beta.read(),i,this.epsilon),f=(g,b,y)=>{P(()=>{let x=1-y,w=g.read(),I=z(pe(w,b),x);g.write(pe(w,I))})};return f(this.movingMean,h,this.momentum),f(this.movingVariance,m,this.momentum),c})}getConfig(){let e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:Ct(this.betaInitializer),gammaInitializer:Ct(this.gammaInitializer),movingMeanInitializer:Ct(this.movingMeanInitializer),movingVarianceInitializer:Ct(this.movingVarianceInitializer),betaRegularizer:pt(this.betaRegularizer),gammaRegularizer:pt(this.gammaRegularizer),betaConstraint:qt(this.betaConstraint),gammaConstraint:qt(this.gammaConstraint)},t=super.getConfig();return Object.assign(e,t),e}};s0.className="BatchNormalization";ne.registerClass(s0);var i0=class extends qe{constructor(e){if(e==null&&(e={}),super(e),this.axis=e.axis==null?-1:e.axis,typeof this.axis=="number"){if(!Number.isInteger(this.axis))throw new Error(`Expected axis to be an integer, but received ${this.axis}`)}else if(Array.isArray(this.axis)){for(let t of this.axis)if(!Number.isInteger(t))throw new Error(`Expected axis to be an array of integers, but received ${JSON.stringify(this.axis)}`)}else throw new Error(`Expected axis to be an integer or an array of integers, but received ${JSON.stringify(this.axis)}`);this.epsilon=e.epsilon==null?.001:e.epsilon,this.center=e.center==null?!0:e.center,this.scale=e.scale==null?!0:e.scale,this.betaInitializer=St(e.betaInitializer||"zeros"),this.gammaInitializer=St(e.gammaInitializer||"ones"),this.betaRegularizer=Tt(e.betaRegularizer),this.gammaRegularizer=Tt(e.gammaRegularizer),this.supportsMasking=!0}build(e){e=at(e);let t=e.length;typeof this.axis=="number"&&(this.axis=[this.axis]);for(let r=0;r=t)throw new Error(`Invalid axis: ${r}`);if(this.axis.length!==ns(this.axis).length)throw new Error(`Found duplicate axes in: ${this.axis}`);let n=this.axis.map(r=>e[r]),a=!0;this.scale?this.gamma=this.addWeight("gamma",n,"float32",this.gammaInitializer,this.gammaRegularizer,a):this.gamma=null,this.center?this.beta=this.addWeight("beta",n,"float32",this.betaInitializer,this.betaRegularizer,a):this.beta=null,this.built=!0}call(e,t){let n=Me(e),a=n.shape,r=a.length;return P(()=>{let{mean:s,variance:i}=zc(n,this.axis,!0),o=li(1,r);for(let h of this.axis)o[h]=a[h];let l=h=>h!=null&&h.shape.length!==r?B(h,o):h,u=this.scale?l(this.gamma.read()):null,p=this.center?l(this.beta.read()):null,d=[],c=[];for(let h=0;h{if(e.rank!==4)throw new V(`temporalPadding expects input tensor to be 4-D, but received a ${e.rank}-D tensor.`);if(t==null&&(t=[[1,1],[1,1]]),t.length!==2||t[0].length!==2||t[1].length!==2)throw new V("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(n==null&&(n=Ga()),n!=="channelsLast"&&n!=="channelsFirst")throw new V(`Unknown data format: ${n}. Supported data formats are 'channelsLast' and 'channelsFirst.`);let a;return n==="channelsFirst"?a=[[0,0],[0,0],t[0],t[1]]:a=[[0,0],t[0],t[1],[0,0]],ba(e,a)})}var o0=class extends qe{constructor(e){if(e==null&&(e={}),super(e),this.dataFormat=e.dataFormat==null?Ga():e.dataFormat,e.padding==null)this.padding=[[1,1],[1,1]];else if(typeof e.padding=="number")this.padding=[[e.padding,e.padding],[e.padding,e.padding]];else{if(e.padding=e.padding,e.padding.length!==2)throw new V(`ZeroPadding2D expects padding to be a length-2 array, but received a length-${e.padding.length} array.`);let t,n;if(typeof e.padding[0]=="number")t=[e.padding[0],e.padding[0]],n=[e.padding[1],e.padding[1]];else{if(e.padding=e.padding,e.padding[0].length!==2)throw new V(`ZeroPadding2D expects height padding to be a length-2 array, but received a length-${e.padding[0].length} array.`);if(t=e.padding[0],e.padding[1].length!==2)throw new V(`ZeroPadding2D expects width padding to be a length-2 array, but received a length-${e.padding[1].length} array.`);n=e.padding[1]}this.padding=[t,n]}this.inputSpec=[new zt({ndim:4})]}computeOutputShape(e){e=at(e);let t,n;return this.dataFormat==="channelsFirst"?(e[2]!=null&&e[2]>=0?t=e[2]+this.padding[0][0]+this.padding[0][1]:t=null,e[3]!=null&&e[3]>=0?n=e[3]+this.padding[1][0]+this.padding[1][1]:n=null,[e[0],e[1],t,n]):(e[1]!=null&&e[1]>=0?t=e[1]+this.padding[0][0]+this.padding[0][1]:t=null,e[2]!=null&&e[2]>=0?n=e[2]+this.padding[1][0]+this.padding[1][1]:n=null,[e[0],t,n,e[3]])}call(e,t){return P(()=>OU(Me(e),this.padding,this.dataFormat))}getConfig(){let e={padding:this.padding,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}};o0.className="ZeroPadding2D";ne.registerClass(o0);function Gf(e,t,n,a,r,s){return P(()=>{Rt(r),nN(s),ya(a),n==null&&(n=[1,1]),a==null&&(a="valid"),r==null&&(r=Ga()),s==null&&(s="max"),e=_w(e,r);let i,o=a==="same"?"same":"valid";return s==="max"?i=Dt(e,t,n,o):i=ga(e,t,n,o),r==="channelsFirst"&&(i=Ce(i,[0,3,1,2])),i})}function ZN(e,t,n,a,r,s){return P(()=>{Rt(r),nN(s),ya(a),n==null&&(n=[1,1,1]),a==null&&(a="valid"),r==null&&(r=Ga()),s==null&&(s="max"),e=jN(e,r);let i,o=a==="same"?"same":"valid";return s==="max"?i=Av(e,t,n,o):i=nv(e,t,n,o),r==="channelsFirst"&&(i=Ce(i,[0,4,1,2,3])),i})}var JN=class extends qe{constructor(e){if(e.poolSize==null&&(e.poolSize=2),super(e),typeof e.poolSize=="number")this.poolSize=[e.poolSize];else if(Array.isArray(e.poolSize)&&e.poolSize.length===1&&typeof e.poolSize[0]=="number")this.poolSize=e.poolSize;else throw new V(`poolSize for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(e.poolSize)}`);if(Jt(this.poolSize,"poolSize"),e.strides==null)this.strides=this.poolSize;else if(typeof e.strides=="number")this.strides=[e.strides];else if(Array.isArray(e.strides)&&e.strides.length===1&&typeof e.strides[0]=="number")this.strides=e.strides;else throw new V(`strides for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(e.strides)}`);Jt(this.strides,"strides"),this.padding=e.padding==null?"valid":e.padding,ya(this.padding),this.inputSpec=[new zt({ndim:3})]}computeOutputShape(e){e=at(e);let t=Va(e[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]}call(e,t){return P(()=>{this.invokeCallHook(e,t),e=Kc(Me(e),2);let n=this.poolingFunction(Me(e),[this.poolSize[0],1],[this.strides[0],1],this.padding,"channelsLast");return Ns(n,[2])})}getConfig(){let e={poolSize:this.poolSize,padding:this.padding,strides:this.strides},t=super.getConfig();return Object.assign(e,t),e}},l0=class extends JN{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Rt(r),ya(a),Gf(e,t,n,a,r,"max")}};l0.className="MaxPooling1D";ne.registerClass(l0);var u0=class extends JN{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Rt(r),ya(a),Gf(e,t,n,a,r,"avg")}};u0.className="AveragePooling1D";ne.registerClass(u0);var QN=class extends qe{constructor(e){if(e.poolSize==null&&(e.poolSize=[2,2]),super(e),this.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize],e.strides==null)this.strides=this.poolSize;else if(Array.isArray(e.strides)){if(e.strides.length!==2)throw new V(`If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length ${e.strides.length}.`);this.strides=e.strides}else this.strides=[e.strides,e.strides];Jt(this.poolSize,"poolSize"),Jt(this.strides,"strides"),this.padding=e.padding==null?"valid":e.padding,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Rt(this.dataFormat),ya(this.padding),this.inputSpec=[new zt({ndim:4})]}computeOutputShape(e){e=at(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2];return t=Va(t,this.poolSize[0],this.padding,this.strides[0]),n=Va(n,this.poolSize[1],this.padding,this.strides[1]),this.dataFormat==="channelsFirst"?[e[0],e[1],t,n]:[e[0],t,n,e[3]]}call(e,t){return P(()=>(this.invokeCallHook(e,t),this.poolingFunction(Me(e),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}},p0=class extends QN{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Rt(r),ya(a),Gf(e,t,n,a,r,"max")}};p0.className="MaxPooling2D";ne.registerClass(p0);var c0=class extends QN{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Rt(r),ya(a),Gf(e,t,n,a,r,"avg")}};c0.className="AveragePooling2D";ne.registerClass(c0);var e2=class extends qe{constructor(e){if(e.poolSize==null&&(e.poolSize=[2,2,2]),super(e),this.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize,e.poolSize],e.strides==null)this.strides=this.poolSize;else if(Array.isArray(e.strides)){if(e.strides.length!==3)throw new V(`If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length ${e.strides.length}.`);this.strides=e.strides}else this.strides=[e.strides,e.strides,e.strides];Jt(this.poolSize,"poolSize"),Jt(this.strides,"strides"),this.padding=e.padding==null?"valid":e.padding,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Rt(this.dataFormat),ya(this.padding),this.inputSpec=[new zt({ndim:5})]}computeOutputShape(e){e=at(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2],a=this.dataFormat==="channelsFirst"?e[4]:e[3];return t=Va(t,this.poolSize[0],this.padding,this.strides[0]),n=Va(n,this.poolSize[1],this.padding,this.strides[1]),a=Va(a,this.poolSize[2],this.padding,this.strides[2]),this.dataFormat==="channelsFirst"?[e[0],e[1],t,n,a]:[e[0],t,n,a,e[4]]}call(e,t){return P(()=>(this.invokeCallHook(e,t),this.poolingFunction(Me(e),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}},d0=class extends e2{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Rt(r),ya(a),ZN(e,t,n,a,r,"max")}};d0.className="MaxPooling3D";ne.registerClass(d0);var h0=class extends e2{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Rt(r),ya(a),ZN(e,t,n,a,r,"avg")}};h0.className="AveragePooling3D";ne.registerClass(h0);var t2=class extends qe{constructor(e){super(e),this.inputSpec=[new zt({ndim:3})]}computeOutputShape(e){return[e[0],e[2]]}call(e,t){throw new Re}},m0=class extends t2{constructor(e){super(e||{})}call(e,t){return P(()=>{let n=Me(e);return Nt(n,1)})}};m0.className="GlobalAveragePooling1D";ne.registerClass(m0);var f0=class extends t2{constructor(e){super(e||{})}call(e,t){return P(()=>{let n=Me(e);return _a(n,1)})}};f0.className="GlobalMaxPooling1D";ne.registerClass(f0);var n2=class extends qe{constructor(e){super(e),this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Rt(this.dataFormat),this.inputSpec=[new zt({ndim:4})]}computeOutputShape(e){return e=e,this.dataFormat==="channelsLast"?[e[0],e[3]]:[e[0],e[1]]}call(e,t){throw new Re}getConfig(){let e={dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}},g0=class extends n2{call(e,t){return P(()=>{let n=Me(e);return this.dataFormat==="channelsLast"?Nt(n,[1,2]):Nt(n,[2,3])})}};g0.className="GlobalAveragePooling2D";ne.registerClass(g0);var b0=class extends n2{call(e,t){return P(()=>{let n=Me(e);return this.dataFormat==="channelsLast"?_a(n,[1,2]):_a(n,[2,3])})}};b0.className="GlobalMaxPooling2D";ne.registerClass(b0);var a2=class extends qe{constructor(e){super(e),this.layer=e.layer}build(e){this.built=!0}get trainable(){return this.layer!=null?this.layer.trainable:!1}set trainable(e){this.layer!=null&&(this.layer.trainable=e)}get trainableWeights(){return this.layer.trainableWeights}get nonTrainableWeights(){return this.layer.nonTrainableWeights}get updates(){return this.layer._updates}get losses(){return this.layer.losses}getWeights(){return this.layer.getWeights()}setWeights(e){this.layer.setWeights(e)}getConfig(){let e={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},t=super.getConfig();return Object.assign(e,t),e}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),this.layer!=null&&this.layer.setFastWeightInitDuringBuild(e)}static fromConfig(e,t,n={}){let a=t.layer,r=Wa(a,n);delete t.layer;let s={layer:r};return Object.assign(s,t),new e(s)}},y0=class extends a2{constructor(e){super(e),this.supportsMasking=!0}build(e){if(e=at(e),e.length<3)throw new V(`TimeDistributed layer expects an input shape >= 3D, but received input shape ${JSON.stringify(e)}`);this.inputSpec=[{shape:e}];let t=[e[0]].concat(e.slice(2));this.layer.built||(this.layer.build(t),this.layer.built=!0),super.build(e)}computeOutputShape(e){e=at(e);let t=[e[0]].concat(e.slice(2)),n=this.layer.computeOutputShape(t),a=e[1];return[n[0],a].concat(n.slice(1))}call(e,t){return P(()=>(e=Me(e),XN((n,a)=>[Me(this.layer.call(n,t)),[]],e,[],!1,null,null,!1,!0)[1]))}};y0.className="TimeDistributed";ne.registerClass(y0);function LU(e){bo(z4,"BidirectionalMergeMode",e)}var zU="concat",x0=class extends a2{constructor(e){super(e);let t=e.layer.getConfig(),n={};n.className=e.layer.getClassName(),n.config=t,this.forwardLayer=Wa(n),t.goBackwards=t.goBackwards!==!0;let a={};if(a.className=e.layer.getClassName(),a.config=t,this.backwardLayer=Wa(a),this.forwardLayer.name="forward_"+this.forwardLayer.name,this.backwardLayer.name="backward_"+this.backwardLayer.name,this.mergeMode=e.mergeMode===void 0?zU:e.mergeMode,LU(this.mergeMode),e.weights)throw new Re("weights support is not implemented for Bidirectional layer yet.");this._stateful=e.layer.stateful,this.returnSequences=e.layer.returnSequences,this.returnState=e.layer.returnState,this.supportsMasking=!0,this._trainable=!0,this.inputSpec=e.layer.inputSpec,this.numConstants=null}get trainable(){return this._trainable}set trainable(e){this._trainable=e,this.forwardLayer!=null&&(this.forwardLayer.trainable=e),this.backwardLayer!=null&&(this.backwardLayer.trainable=e)}getWeights(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())}setWeights(e){let t=e.length,n=Math.floor(t/2);this.forwardLayer.setWeights(e.slice(0,n)),this.backwardLayer.setWeights(e.slice(n))}computeOutputShape(e){let t=this.forwardLayer.computeOutputShape(e);Array.isArray(t)&&Array.isArray(t[0])||(t=[t]),t=t;let n,a,r;return this.returnState&&(r=t.slice(1)),n=t[0],n=n,this.mergeMode==="concat"?(n[n.length-1]*=2,a=[n]):this.mergeMode==null?a=[n,n.slice()]:a=[n],this.returnState?this.mergeMode==null?a.concat(r).concat(r.slice()):[n].concat(r).concat(r.slice()):Mn(a)}apply(e,t){let n=t==null?null:t.initialState,a=t==null?null:t.constants;t==null&&(t={});let r=KN(e,n,a,this.numConstants);if(e=r.inputs,n=r.initialState,a=r.constants,Array.isArray(e)&&(n=e.slice(1),e=e[0]),(n==null||n.length===0)&&a==null)return super.apply(e,t);let s=[],i=[];if(n!=null){let l=n.length;if(l%2>0)throw new V("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");t.initialState=n,s.push(...n);let u=n.map(p=>new zt({shape:p.shape}));this.forwardLayer.stateSpec=u.slice(0,l/2),this.backwardLayer.stateSpec=u.slice(l/2),i.push(...u)}if(a!=null)throw new Re("Support for constants in Bidirectional layers is not implemented yet.");let o=s[0]instanceof za;for(let l of s)if(l instanceof za!==o)throw new V("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors");if(o){let l=[e].concat(s),u=this.inputSpec.concat(i),p=this.inputSpec;this.inputSpec=u;let d=super.apply(l,t);return this.inputSpec=p,d}else return super.apply(e,t)}call(e,t){return P(()=>{let n=t.initialState,a,r;if(n==null)a=this.forwardLayer.call(e,t),r=this.backwardLayer.call(e,t);else{let o=n.slice(0,n.length/2),l=n.slice(n.length/2);a=this.forwardLayer.call(e,Object.assign(t,{initialState:o})),r=this.backwardLayer.call(e,Object.assign(t,{initialState:l}))}let s;this.returnState&&(Array.isArray(a)&&(s=a.slice(1).concat(r.slice(1))),a=a[0],r=r[0]),this.returnSequences&&(r=fa(r,1));let i;return this.mergeMode==="concat"?i=ew([a,r]):this.mergeMode==="sum"?i=Y(a,r):this.mergeMode==="ave"?i=z(.5,Y(a,r)):this.mergeMode==="mul"?i=z(a,r):this.mergeMode==null&&(i=[a,r]),this.returnState?this.mergeMode==null?i.concat(s):[i].concat(s):i})}resetStates(e){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()}build(e){Ys(this.forwardLayer.name,()=>{this.forwardLayer.build(e)}),Ys(this.backwardLayer.name,()=>{this.backwardLayer.build(e)}),this.built=!0}computeMask(e,t){Array.isArray(t)&&(t=t[0]);let n;if(this.returnSequences?this.mergeMode==null?n=[t,t]:n=t:this.mergeMode==null?n=[null,null]:n=null,this.returnState){let a=this.forwardLayer.states.map(r=>null);return Array.isArray(n)?n.concat(a).concat(a):[n].concat(a).concat(a)}else return n}get trainableWeights(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)}get nonTrainableWeights(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),this.forwardLayer!=null&&this.forwardLayer.setFastWeightInitDuringBuild(e),this.backwardLayer!=null&&this.backwardLayer.setFastWeightInitDuringBuild(e)}getConfig(){let e={mergeMode:this.mergeMode},t=super.getConfig();return Object.assign(e,t),e}static fromConfig(e,t){let n=Wa(t.layer);if(delete t.layer,t.numConstants!=null)throw new Re("Deserialization of a Bidirectional layer with numConstants present is not supported yet.");let a=t;return a.layer=n,new e(a)}};x0.className="Bidirectional";ne.registerClass(x0);var v0=class extends qe{constructor(e){super(e),this.scale=e.scale,e.offset?this.offset=e.offset:this.offset=0}getConfig(){let e={scale:this.scale,offset:this.offset},t=super.getConfig();return Object.assign(e,t),e}call(e,t){return P(()=>(e=Me(e),e.dtype!=="float32"&&(e=qc(e,"float32")),Y(z(e,this.scale),this.offset)))}};v0.className="Rescaling";ne.registerClass(v0);function BU(e){return new Uu(e)}function WU(e){return new Tw(e)}function VU(e){return new kw(e)}function UU(e){return new Iw(e)}function GU(e){return new Sw(e)}function HU(e){return new Cw(e)}function jU(e){return new Nw(e)}function qU(e){return new Lf(e)}function KU(e){return new ed(e)}function XU(e){return new Aw(e)}function YU(e){return new td(e)}function ZU(e){return new $w(e)}function JU(e){return new Fw(e)}function QU(e){return new Dw(e)}function eG(e){return new Rw(e)}function tG(e){return new Mw(e)}function nG(e){return new Uw(e)}function aG(e){return new Ww(e)}function rG(e){return new Uf(e)}function sG(e){return new Bw(e)}function iG(e){return new Vw(e)}function oG(e){return new Gw(e)}function lG(e){return new Hw(e)}function uG(e){return new jw(e)}function pG(e){return new Kw(e)}function cG(e){return new Xw(e)}function dG(e){return new Zw(e)}function hG(e){return new e0(e)}function mG(e){return new Jw(e)}function fG(e){return new Qw(e)}function gG(e){return new Yw(e)}function bG(e){return new t0(e)}function yG(e){return new s0(e)}function xG(e){return new i0(e)}function vG(e){return new o0(e)}function w0(e){return new u0(e)}function wG(e){return w0(e)}function kG(e){return w0(e)}function k0(e){return new c0(e)}function IG(e){return k0(e)}function SG(e){return k0(e)}function I0(e){return new h0(e)}function TG(e){return I0(e)}function NG(e){return I0(e)}function CG(e){return new m0(e)}function _G(e){return new g0(e)}function r2(e){return new f0(e)}function s2(e){return new b0(e)}function i2(e){return new l0(e)}function o2(e){return new p0(e)}function EG(e){return new d0(e)}function AG(e){return new Ow(e)}function $G(e){return new Bf(e)}function FG(e){return new Lw(e)}function DG(e){return new ad(e)}function RG(e){return new Pw(e)}function MG(e){return new zf(e)}function PG(e){return new zw(e)}function OG(e){return new Vf(e)}function LG(e){return new hr(e)}function zG(e){return new Wf(e)}function BG(e){return new x0(e)}function WG(e){return new y0(e)}var VG=r2,UG=s2,GG=i2,HG=o2;function jG(e){return new n0(e)}function qG(e){return new a0(e)}function KG(e){return new r0(e)}function XG(e){return new qw(e)}function YG(e){return new v0(e)}var l2={};_e(l2,{MAPE:()=>oH,MSE:()=>pH,binaryAccuracy:()=>ZG,binaryCrossentropy:()=>JG,categoricalAccuracy:()=>eH,categoricalCrossentropy:()=>tH,cosineProximity:()=>rH,mape:()=>lH,meanAbsoluteError:()=>sH,meanAbsolutePercentageError:()=>iH,meanSquaredError:()=>uH,mse:()=>cH,precision:()=>nH,recall:()=>aH,sparseCategoricalAccuracy:()=>QG});function ZG(e,t){return fw(e,t)}function JG(e,t){return kN(e,t)}function QG(e,t){return IN(e,t)}function eH(e,t){return gw(e,t)}function tH(e,t){return bw(e,t)}function nH(e,t){return wN(e,t)}function aH(e,t){return UV(e,t)}function rH(e,t){return mw(e,t)}function sH(e,t){return Pf(e,t)}function iH(e,t){return Gu(e,t)}function oH(e,t){return Gu(e,t)}function lH(e,t){return Gu(e,t)}function uH(e,t){return yo(e,t)}function pH(e,t){return yo(e,t)}function cH(e,t){return yo(e,t)}var u2={};_e(u2,{modelFromJSON:()=>xU});var p2={};_e(p2,{l1:()=>hH,l1l2:()=>dH,l2:()=>mH});function dH(e){return new Jc(e)}function hH(e){return CU(e)}function mH(e){return _U(e)}var c2=class extends kl{constructor(){super(...arguments),this.model=null}setModel(e){if(!(e instanceof Er))throw new Error("model must be a LayersModel, not some other Container");this.model=e}};function ph(e,t){return et}var d2=class extends c2{constructor(e){if(super(),e==null&&(e={}),e.restoreBestWeights)throw new Re("restoreBestWeights = True is not implemented in EarlyStopping yet.");this.monitor=e.monitor||"val_loss",this.minDelta=Math.abs(e.minDelta||0),this.patience=e.patience||0,this.verbose=e.verbose||0,this.mode=e.mode||"auto",this.baseline=e.baseline,["auto","min","max"].indexOf(this.mode)===-1&&(console.warn(`EarlyStopping mode '${this.mode}' is invalid. Falling back to mode 'auto'.`),this.mode="auto"),this.mode==="min"?this.monitorFunc=ph:this.mode==="max"?this.monitorFunc=Uk:this.monitor.indexOf("acc")!==-1?this.monitorFunc=Uk:this.monitorFunc=ph,this.monitorFunc===ph&&(this.minDelta*=-1)}async onTrainBegin(e){this.wait=0,this.stoppedEpoch=0,this.baseline!=null?this.best=this.baseline:this.best=this.monitorFunc===ph?1/0:-1/0}async onEpochEnd(e,t){await Yr(t);let n=this.getMonitorValue(t);n!=null&&(this.monitorFunc(n-this.minDelta,this.best)?(this.best=n,this.wait=0):(this.wait++,this.wait>=this.patience&&(this.stoppedEpoch=e,this.model.stopTraining=!0)))}async onTrainEnd(e){this.stoppedEpoch>0&&this.verbose&&console.log(`Epoch ${this.stoppedEpoch}: early stopping.`)}getMonitorValue(e){e==null&&(e={});let t=e[this.monitor];return t==null&&console.warn(`Metric for EarlyStopping ${this.monitor} is not available. Available metrics are: ${Object.keys(e)}`),t}};function fH(e){return new d2(e)}var gH={earlyStopping:fH},bH=H();bH.registerFlag("KEEP_INTERMEDIATE_TENSORS",()=>!1,e=>{e&&console.warn("Keep intermediate tensors is ON. This will print the values of all intermediate tensors during model inference. Not all models support this mode. For details, check e2e/benchmarks/ model_config.js. This significantly impacts performance.")});var Ta;(function(e){e[e.DT_INVALID=0]="DT_INVALID",e[e.DT_FLOAT=1]="DT_FLOAT",e[e.DT_DOUBLE=2]="DT_DOUBLE",e[e.DT_INT32=3]="DT_INT32",e[e.DT_UINT8=4]="DT_UINT8",e[e.DT_INT16=5]="DT_INT16",e[e.DT_INT8=6]="DT_INT8",e[e.DT_STRING=7]="DT_STRING",e[e.DT_COMPLEX64=8]="DT_COMPLEX64",e[e.DT_INT64=9]="DT_INT64",e[e.DT_BOOL=10]="DT_BOOL",e[e.DT_QINT8=11]="DT_QINT8",e[e.DT_QUINT8=12]="DT_QUINT8",e[e.DT_QINT32=13]="DT_QINT32",e[e.DT_BFLOAT16=14]="DT_BFLOAT16",e[e.DT_QINT16=15]="DT_QINT16",e[e.DT_QUINT16=16]="DT_QUINT16",e[e.DT_UINT16=17]="DT_UINT16",e[e.DT_COMPLEX128=18]="DT_COMPLEX128",e[e.DT_HALF=19]="DT_HALF",e[e.DT_RESOURCE=20]="DT_RESOURCE",e[e.DT_VARIANT=21]="DT_VARIANT",e[e.DT_UINT32=22]="DT_UINT32",e[e.DT_UINT64=23]="DT_UINT64",e[e.DT_FLOAT_REF=101]="DT_FLOAT_REF",e[e.DT_DOUBLE_REF=102]="DT_DOUBLE_REF",e[e.DT_INT32_REF=103]="DT_INT32_REF",e[e.DT_UINT8_REF=104]="DT_UINT8_REF",e[e.DT_INT16_REF=105]="DT_INT16_REF",e[e.DT_INT8_REF=106]="DT_INT8_REF",e[e.DT_STRING_REF=107]="DT_STRING_REF",e[e.DT_COMPLEX64_REF=108]="DT_COMPLEX64_REF",e[e.DT_INT64_REF=109]="DT_INT64_REF",e[e.DT_BOOL_REF=110]="DT_BOOL_REF",e[e.DT_QINT8_REF=111]="DT_QINT8_REF",e[e.DT_QUINT8_REF=112]="DT_QUINT8_REF",e[e.DT_QINT32_REF=113]="DT_QINT32_REF",e[e.DT_BFLOAT16_REF=114]="DT_BFLOAT16_REF",e[e.DT_QINT16_REF=115]="DT_QINT16_REF",e[e.DT_QUINT16_REF=116]="DT_QUINT16_REF",e[e.DT_UINT16_REF=117]="DT_UINT16_REF",e[e.DT_COMPLEX128_REF=118]="DT_COMPLEX128_REF",e[e.DT_HALF_REF=119]="DT_HALF_REF",e[e.DT_RESOURCE_REF=120]="DT_RESOURCE_REF",e[e.DT_VARIANT_REF=121]="DT_VARIANT_REF",e[e.DT_UINT32_REF=122]="DT_UINT32_REF",e[e.DT_UINT64_REF=123]="DT_UINT64_REF"})(Ta||(Ta={}));var Gk;(function(e){let t;(function(n){n[n.LEGACY=0]="LEGACY",n[n.V1=1]="V1",n[n.V2=2]="V2"})(t=e.CheckpointFormatVersion||(e.CheckpointFormatVersion={}))})(Gk||(Gk={}));var S0={};function yH(e,t){let n={tfOpName:e,category:"custom",inputs:[],attrs:[],customExecutor:t};S0[e]=n}function h2(e){return S0[e]}function xH(e){delete S0[e]}function k(e,t,n,a,r){let s=t.inputParams[e];if(s&&s.inputIndexStart!==void 0){let o=s.inputIndexStart,l=s.inputIndexEnd===0?void 0:s.inputIndexEnd===void 0?o+1:s.inputIndexEnd;if(s.type==="tensor")return wn(t.inputNames[s.inputIndexStart],n,a,r);if(s.type==="tensors")return t.inputNames.slice(o,l).map(d=>wn(d,n,a,r));let u=wn(t.inputNames.slice(o)[0],n,a,r),p=u.dataSync();return s.type==="number"?p[0]:v.toNestedArray(u.shape,p)}let i=t.attrParams[e];return i&&i.value}function wn(e,t,n,a){let[r,s]=Xn(e);if(a!=null){let o=a.getHashTableHandleByName(r);if(o!=null)return o}let i=n.currentContextIds.find(o=>!!t[Kh(r,o)]);return i!==void 0?t[Kh(r,i)][s]:void 0}function vH(e,t,n){return t[Kh(e,n.currentContextId)]}function rr(e,t){let[n,a,r]=Xn(e);return[Kh(n,t&&t.currentContextId),a,r]}function Kh(e,t){return t?`${e}-${t}`:e}function Xn(e){let t=e.split(":");if(t.length===1)return[e,0,void 0];let n=t[0],a=t.length===3?t[1]:void 0,r=Number(t[t.length-1]);return[n,r,a]}function xh(e,t,n){let a=k("pad",e,t,n);if(a==="explicit"){a=k("explicitPaddings",e,t,n);let r=[[0,0],[0,0],[0,0],[0,0]];for(let s=0;s<4;s++)r[s][0]=a[s*2],r[s][1]=a[s*2+1];return r}return a}function Sr(e){return e.kept?e:sr(e)}var m2={};_e(m2,{json:()=>wH});var wH=[{tfOpName:"Add",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddV2",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddN",category:"arithmetic",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"BiasAdd",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"Sub",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"RealDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Div",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"DivNoNan",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mul",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Maximum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Minimum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Pow",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SquaredDifference",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorMod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],f2={};_e(f2,{json:()=>kH});var kH=[{tfOpName:"Abs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan2",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Ceil",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ClipByValue",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"clipValueMin",type:"number"},{start:2,name:"clipValueMax",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Complex",category:"basic_math",inputs:[{start:0,name:"real",type:"tensor"},{start:1,name:"imag",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ComplexAbs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Elu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Exp",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Floor",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Imag",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Neg",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Real",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Prelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"alpha",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu6",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Selu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sigmoid",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Rsqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Square",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sign",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Round",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Expm1",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log1p",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Reciprocal",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Softplus",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Erf",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Prod",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axes",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LeakyRelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"alpha",name:"alpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"IsNan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],g2={};_e(g2,{json:()=>IH});var IH=[{tfOpName:"EmptyTensorList",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"maxNumElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"LoopCond",category:"control",inputs:[{start:0,name:"pred",type:"tensor"}]},{tfOpName:"Switch",category:"control",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"pred",type:"tensor"}]},{tfOpName:"Merge",category:"control",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"Enter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"frame_name",name:"frameName",type:"string"},{tfName:"is_constant",name:"isConstant",type:"bool"}]},{tfOpName:"Exit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NextIteration",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayV3",category:"control",inputs:[{start:0,name:"size",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"dynamic_size",name:"dynamicSize",type:"bool"},{tfName:"clear_after_read",name:"clearAfterRead",type:"bool"},{tfName:"identical_element_shapes",name:"identicalElementShapes",type:"bool"},{tfName:"tensor_array_name",name:"name",type:"string"}]},{tfOpName:"TensorArrayWriteV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayReadV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayGatherV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"}]},{tfOpName:"TensorArrayScatterV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArrayConcatV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape_except0",name:"elementShapeExcept0",type:"shape",notSupported:!0}]},{tfOpName:"TensorArraySplitV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"tensor",type:"tensor"},{start:2,name:"lengths",type:"number[]"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArraySizeV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}]},{tfOpName:"TensorArrayCloseV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"}]},{tfOpName:"StatelessIf",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"If",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"StatelessWhile",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"While",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"TensorListScatter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListScatterV2",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"},{start:3,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGather",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListSetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListReserve",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListFromTensor",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListStack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"},{tfName:"num_elements",name:"numElements",type:"dtype"}]},{tfOpName:"TensorListSplit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"},{start:2,name:"lengths",type:"number[]"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcat",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcatV2",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPopBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPushBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListLength",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}]},{tfOpName:"TensorListResize",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"size",type:"number"}]}],b2={};_e(b2,{json:()=>SH});var SH=[{tfOpName:"AvgPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[],notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPoolWithArgmax",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"include_batch_in_index",name:"includeBatchInIndex",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AvgPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Conv1D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"stride",name:"stride",type:"number"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NWC"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"dilation",name:"dilation",type:"number",defaultValue:1}]},{tfOpName:"Conv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"useCudnnOnGpu",name:"useCudnnOnGpu",type:"bool"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"_FusedConv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"use_cudnn_on_gpu",name:"useCudnnOnGpu",type:"bool",defaultValue:!0},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2}]},{tfOpName:"Conv2DBackpropInput",category:"convolution",inputs:[{start:2,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:0,name:"outputShape",type:"number[]"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]",notSupported:!0}]},{tfOpName:"DepthwiseConv2d",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"DepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"FusedDepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]}]},{tfOpName:"Conv3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"Dilation2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"rates",name:"dilations",type:"number[]"},{tfName:"padding",name:"pad",type:"string"}]}],y2={};_e(y2,{json:()=>TH});var TH=[{tfOpName:"Fill",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"},{start:1,name:"value",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"LinSpace",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"num",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"OneHot",category:"creation",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"depth",type:"number"},{start:2,name:"onValue",type:"number",defaultValue:1},{start:3,name:"offValue",type:"number",defaultValue:0}],attrs:[{tfName:"axis",name:"axis",type:"number",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Ones",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"OnesLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"RandomStandardNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"RandomUniform",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"minval",name:"minval",type:"number",defaultValue:0},{tfName:"maxval",name:"maxval",type:"number",defaultValue:1},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Range",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"step",type:"number",defaultValue:0}],attrs:[{tfName:"Tidx",name:"dtype",type:"dtype"}]},{tfOpName:"TruncatedNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"means",name:"mean",type:"number",defaultValue:0},{tfName:"stddev",name:"stdDev",type:"number",defaultValue:1},{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Zeros",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"ZerosLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Multinomial",category:"creation",inputs:[{start:0,name:"logits",type:"tensor"},{start:1,name:"numSamples",type:"number"}],attrs:[{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number"},{tfName:"T",name:"dtype",type:"dtype"},{tfName:"output_dtype",name:"output_dtype",type:"dtype"}]}],x2={};_e(x2,{json:()=>NH});var NH=[{tfOpName:"NonMaxSuppressionV2",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV3",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV4",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"T_threshold",name:"threshold",type:"dtype",notSupported:!0},{tfName:"pad_to_max_output_size",name:"padToMaxOutputSize",type:"bool"}]},{tfOpName:"NonMaxSuppressionV5",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"},{start:5,name:"softNmsSigma",type:"number"}]},{tfOpName:"Where",category:"dynamic",inputs:[{start:0,name:"condition",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ListDiff",category:"dynamic",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],v2={};_e(v2,{json:()=>CH});var CH=[{tfOpName:"LowerBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"TopKV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"k",type:"number"}],attrs:[{tfName:"sorted",name:"sorted",type:"bool"}]},{tfOpName:"UpperBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"Unique",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"UniqueV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]}],w2={};_e(w2,{json:()=>_H});var _H=[{tfOpName:"PlaceholderWithDefault",category:"graph",inputs:[{start:0,name:"default",type:"tensor"}],attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Placeholder",category:"graph",attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Const",category:"graph"},{tfOpName:"Identity",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IdentityN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Snapshot",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Rank",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Size",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Shape",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"ShapeN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Print",category:"graph",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"data",type:"tensors"}],attrs:[{tfName:"message",name:"message",type:"string"},{tfName:"first_n",name:"firstN",type:"number",notSupported:!0},{tfName:"summarize",name:"summarize",type:"number",defaultValue:3}]},{tfOpName:"NoOp",category:"graph",inputs:[]},{tfOpName:"StopGradient",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"FakeQuantWithMinMaxVars",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"min",name:"min",type:"number"},{tfName:"max",name:"max",type:"number"}]}],k2={};_e(k2,{json:()=>EH});var EH=[{tfOpName:"HashTable",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"HashTableV2",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"LookupTableImport",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableImportV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFind",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFindV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableSize",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]},{tfOpName:"LookupTableSizeV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]}],I2={};_e(I2,{json:()=>AH});var AH=[{tfOpName:"ResizeBilinear",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ResizeNearestNeighbor",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"CropAndResize",category:"image",inputs:[{start:0,name:"image",type:"tensor"},{start:1,name:"boxes",type:"tensor"},{start:2,name:"boxInd",type:"tensor"},{start:3,name:"cropSize",type:"number[]"}],attrs:[{tfName:"method",name:"method",type:"string"},{tfName:"extrapolation_value",name:"extrapolationValue",type:"number"}]},{tfOpName:"ImageProjectiveTransformV3",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"transforms",type:"tensor"},{start:2,name:"outputShape",type:"number[]"},{start:3,name:"fillValue",type:"number"}],attrs:[{tfName:"interpolation",name:"interpolation",type:"string"},{tfName:"fill_mode",name:"fillMode",type:"string"}]}],S2={};_e(S2,{json:()=>$H});var $H=[{tfOpName:"Equal",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NotEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Greater",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"GreaterEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Less",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LessEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalAnd",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalNot",category:"logical",inputs:[{start:0,name:"a",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalOr",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Select",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SelectV2",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],T2={};_e(T2,{json:()=>FH});var FH=[{tfOpName:"_FusedMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMulV2",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Transpose",category:"matrices",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"perm",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Einsum",category:"matrices",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"equation",name:"equation",type:"string"},{tfName:"N",name:"n",type:"number",defaultValue:2},{tfName:"T",name:"dtype",type:"dtype"}]}],N2={};_e(N2,{json:()=>DH});var DH=[{tfOpName:"EuclideanNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",defaultValue:!1}]},{tfOpName:"FusedBatchNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV2",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV3",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"LRN",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"depth_radius",name:"radius",type:"number",defaultValue:5},{tfName:"bias",name:"bias",type:"number",defaultValue:1},{tfName:"alpha",name:"alpha",type:"number",defaultValue:1},{tfName:"beta",name:"beta",type:"number",defaultValue:.5}]},{tfOpName:"Softmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"LogSoftmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"SparseToDense",category:"normalization",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!0,notSupported:!0}]}],C2={};_e(C2,{json:()=>RH});var RH=[{tfOpName:"Bincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}]},{tfOpName:"DenseBincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}],attrs:[{tfName:"binary_output",name:"binaryOutput",type:"bool"}]},{tfOpName:"Max",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Mean",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Min",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Sum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"All",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Any",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"ArgMax",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"ArgMin",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"Prod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Cumprod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]},{tfOpName:"Cumsum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]}],_2={};_e(_2,{json:()=>MH});var MH=[{tfOpName:"ConcatV2",category:"slice_join",inputs:[{start:0,end:-1,name:"tensors",type:"tensors"},{start:-1,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"Concat",category:"slice_join",inputs:[{start:1,end:0,name:"tensors",type:"tensors"},{start:0,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"GatherV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"axis",type:"number",defaultValue:0}],attrs:[{tfName:"batch_dims",name:"batchDims",type:"number",defaultValue:0}]},{tfOpName:"Gather",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",notSupported:!0}]},{tfOpName:"Reverse",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"dims",type:"bool[]"}]},{tfOpName:"ReverseV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}]},{tfOpName:"Slice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"size",type:"number[]"}]},{tfOpName:"StridedSlice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"end",type:"number[]"},{start:3,name:"strides",type:"number[]"}],attrs:[{tfName:"begin_mask",name:"beginMask",type:"number",defaultValue:0},{tfName:"end_mask",name:"endMask",type:"number",defaultValue:0},{tfName:"new_axis_mask",name:"newAxisMask",type:"number",defaultValue:0},{tfName:"ellipsis_mask",name:"ellipsisMask",type:"number",defaultValue:0},{tfName:"shrink_axis_mask",name:"shrinkAxisMask",type:"number",defaultValue:0}]},{tfOpName:"Pack",category:"slice_join",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0}]},{tfOpName:"Unpack",category:"slice_join",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0},{tfName:"num",name:"num",type:"number",defaultValue:0,notSupported:!0}]},{tfOpName:"Tile",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"reps",type:"number[]"}]},{tfOpName:"Split",category:"slice_join",inputs:[{start:0,name:"axis",type:"number",defaultValue:0},{start:1,name:"x",type:"tensor"}],attrs:[{tfName:"num_split",name:"numOrSizeSplits",type:"number",defaultValue:1}]},{tfOpName:"SplitV",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"numOrSizeSplits",type:"number[]"},{start:2,name:"axis",type:"number",defaultValue:0}]},{tfOpName:"ScatterNd",category:"slice_join",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"shape",type:"number[]"}]},{tfOpName:"GatherNd",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}]},{tfOpName:"SparseToDense",category:"slice_join",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!1,notSupported:!0}]}],E2={};_e(E2,{json:()=>PH});var PH=[{tfOpName:"SparseFillEmptyRows",category:"sparse",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"denseShape",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}]},{tfOpName:"SparseReshape",category:"sparse",inputs:[{start:0,name:"inputIndices",type:"tensor"},{start:1,name:"inputShape",type:"tensor"},{start:2,name:"newShape",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SparseSegmentMean",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]},{tfOpName:"SparseSegmentSum",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]}],A2={};_e(A2,{json:()=>OH});var OH=[{tfOpName:"FFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"RFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]},{tfOpName:"IRFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]}],$2={};_e($2,{json:()=>LH});var LH=[{tfOpName:"StringNGrams",category:"string",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"dataSplits",type:"tensor"}],attrs:[{tfName:"separator",name:"separator",type:"string"},{tfName:"ngram_widths",name:"nGramWidths",type:"number[]"},{tfName:"left_pad",name:"leftPad",type:"string"},{tfName:"right_pad",name:"rightPad",type:"string"},{tfName:"pad_width",name:"padWidth",type:"number"},{tfName:"preserve_short_sequences",name:"preserveShortSequences",type:"bool"}],outputs:["ngrams","ngrams_splits"]},{tfOpName:"StringSplit",category:"string",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"delimiter",type:"tensor"}],attrs:[{tfName:"skip_empty",name:"skipEmpty",type:"bool"}],outputs:["indices","values","shape"]},{tfOpName:"StringToHashBucketFast",category:"string",inputs:[{start:0,name:"input",type:"tensor"}],attrs:[{tfName:"num_buckets",name:"numBuckets",type:"number"}]}],F2={};_e(F2,{json:()=>zH});var zH=[{tfOpName:"Cast",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"SrcT",name:"sdtype",type:"dtype",notSupported:!0},{tfName:"DstT",name:"dtype",type:"dtype"}]},{tfOpName:"ExpandDims",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"MirrorPad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"mode",name:"mode",type:"string"}]},{tfOpName:"Pad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"constant_value",name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"PadV2",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"},{start:2,name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"Reshape",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}]},{tfOpName:"Squeeze",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"axis",tfDeprecatedName:"squeeze_dims",name:"axis",type:"number[]"}]},{tfOpName:"SpaceToBatchND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"paddings",type:"number[]"}]},{tfOpName:"BatchToSpaceND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"crops",type:"number[]"}]},{tfOpName:"DepthToSpace",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"block_size",name:"blockSize",type:"number"},{tfName:"data_format",name:"dataFormat",type:"string"}]},{tfOpName:"BroadcastTo",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}],attrs:[]},{tfOpName:"BroadcastArgs",category:"transformation",inputs:[{start:0,name:"s0",type:"tensor"},{start:1,name:"s1",type:"tensor"}],attrs:[]}],Hk=class{static get Instance(){return this._instance||(this._instance=new this)}constructor(){let e=[m2,f2,g2,b2,y2,x2,v2,w2,k2,I2,S2,T2,N2,C2,_2,E2,A2,$2,F2],t=[].concat(...e.map(n=>n.json));this.opMappers=t.reduce((n,a)=>(n[a.tfOpName]=a,n),{})}transformGraph(e,t={}){let n=e.node,a=[],r=[],s=[],i=n.reduce((m,f)=>(m[f.name]=this.mapNode(f),f.op.startsWith("Placeholder")?a.push(m[f.name]):f.op==="Const"?r.push(m[f.name]):(f.input==null||f.input.length===0)&&s.push(m[f.name]),m),{}),o=[],l=[],u={},p={};t!=null&&(u=this.mapSignatureEntries(t.inputs),p=this.mapSignatureEntries(t.outputs));let d=Object.keys(i);d.forEach(m=>{let f=i[m];f.inputNames.forEach((g,b)=>{let[y,,x]=rr(g),w=i[y];if(w.outputs!=null){let I=w.outputs.indexOf(x);if(I!==-1){let T=`${y}:${I}`;f.inputNames[b]=T}}f.inputs.push(w),w.children.push(f)})}),Object.keys(p).length===0?d.forEach(m=>{let f=i[m];f.children.length===0&&l.push(f)}):Object.keys(p).forEach(m=>{let[f]=rr(m),g=i[f];g!=null&&(g.signatureKey=p[m],l.push(g))}),Object.keys(u).length>0?Object.keys(u).forEach(m=>{let[f]=rr(m),g=i[f];g&&(g.signatureKey=u[m],o.push(g))}):o=a;let c={};e.library!=null&&e.library.function!=null&&(c=e.library.function.reduce((m,f)=>(m[f.signature.name]=this.mapFunction(f),m),{}));let h={nodes:i,inputs:o,outputs:l,weights:r,placeholders:a,signature:t,functions:c};return s.length>0&&(h.initNodes=s),h}mapSignatureEntries(e){return Object.keys(e||{}).reduce((t,n)=>(t[e[n].name]=n,t),{})}mapNode(e){let t=h2(e.op)||this.opMappers[e.op]||{};e.attr==null&&(e.attr={});let n={name:e.name,op:e.op,category:t.category,inputNames:(e.input||[]).map(a=>a.startsWith("^")?a.slice(1):a),inputs:[],children:[],inputParams:{},attrParams:{},rawAttrs:e.attr,outputs:t.outputs};return t.inputs!=null&&(n.inputParams=t.inputs.reduce((a,r)=>(a[r.name]={type:r.type,inputIndexStart:r.start,inputIndexEnd:r.end},a),{})),t.attrs!=null&&(n.attrParams=t.attrs.reduce((a,r)=>{let s=r.type,i;switch(r.type){case"string":i=Zy(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Zy(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"string[]":i=rx(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=rx(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"number":i=Qy(e.attr,r.tfName,r.defaultValue||0),i===void 0&&!!r.tfDeprecatedName&&(i=Qy(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"number[]":i=ax(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=ax(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"bool":i=Jy(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Jy(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"bool[]":i=ix(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=ix(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"shape":i=nx(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=nx(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"shape[]":i=sx(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=sx(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"dtype":i=ex(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=ex(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"dtype[]":i=tx(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=tx(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"func":i=jk(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=jk(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"tensor":case"tensors":break;default:throw new Error(`Unsupported param type: ${r.type} for op: ${e.op}`)}return a[r.name]={value:i,type:s},a},{})),n}mapFunction(e){let t=e.nodeDef,n=[],a=[],r={};t!=null&&(r=t.reduce((u,p)=>(u[p.name]=this.mapNode(p),p.op==="Const"&&a.push(u[p.name]),u),{}));let s=[],i=[];e.signature.inputArg.forEach(u=>{let[p]=rr(u.name),d={name:p,op:"Placeholder",inputs:[],inputNames:[],category:"graph",inputParams:{},attrParams:{dtype:{value:T0(u.type),type:"dtype"}},children:[]};d.signatureKey=u.name,s.push(d),r[p]=d}),Object.keys(r).forEach(u=>{let p=r[u];p.inputNames.forEach((d,c)=>{let[h,,m]=rr(d),f=r[h];if(f.outputs!=null){let g=f.outputs.indexOf(m);if(g!==-1){let b=`${h}:${g}`;p.inputNames[c]=b}}p.inputs.push(f),f.children.push(p)})});let o=e.ret;e.signature.outputArg.forEach(u=>{let[p,d]=rr(o[u.name]),c=r[p];c!=null&&(c.defaultOutput=d,i.push(c))});let l=this.mapArgsToSignature(e);return{nodes:r,inputs:s,outputs:i,weights:a,placeholders:n,signature:l}}mapArgsToSignature(e){return{methodName:e.signature.name,inputs:e.signature.inputArg.reduce((t,n)=>(t[n.name]=this.mapArgToTensorInfo(n),t),{}),outputs:e.signature.outputArg.reduce((t,n)=>(t[n.name]=this.mapArgToTensorInfo(n,e.ret),t),{})}}mapArgToTensorInfo(e,t){let n=e.name;return t!=null&&(n=t[n]),{name:n,dtype:e.type}}};function BH(e){let t=H().global;if(typeof t.atob!="undefined")return t.atob(e);if(typeof Buffer!="undefined")return new Buffer(e,"base64").toString();throw new Error("Unable to decode base64 in this environment. Missing built-in atob() or Buffer()")}function D2(e,t){let n=Array.isArray(e)?String.fromCharCode.apply(null,e):BH(e);return t?n:n.toLowerCase()}function Zy(e,t,n,a=!1){let r=e[t];return r!=null?D2(r.s,a):n}function Jy(e,t,n){let a=e[t];return a?a.b:n}function Qy(e,t,n){let a=e[t]||{},r=a.i!=null?a.i:a.f!=null?a.f:n;return typeof r=="number"?r:parseInt(r,10)}function T0(e){switch(typeof e=="string"&&(e=Ta[e]),e){case Ta.DT_FLOAT:case Ta.DT_HALF:return"float32";case Ta.DT_INT32:case Ta.DT_INT64:case Ta.DT_INT8:case Ta.DT_UINT8:return"int32";case Ta.DT_BOOL:return"bool";case Ta.DT_DOUBLE:return"float32";case Ta.DT_STRING:return"string";default:return null}}function jk(e,t,n){let a=e[t];return a&&a.func?a.func.name:n}function ex(e,t,n){let a=e[t];return a&&a.type?T0(a.type):n}function tx(e,t,n){let a=e[t];return a&&a.list&&a.list.type?a.list.type.map(r=>T0(r)):n}function R2(e){if(!e.unknownRank)return e.dim!=null?e.dim.map(t=>typeof t.size=="number"?t.size:parseInt(t.size,10)):[]}function nx(e,t,n){let a=e[t];return a&&a.shape?R2(a.shape):n}function ax(e,t,n){let a=e[t];return a?((a.list.f&&a.list.f.length?a.list.f:a.list.i)||[]).map(r=>typeof r=="number"?r:parseInt(r,10)):n}function rx(e,t,n,a=!1){let r=e[t];return r&&r.list&&r.list.s?r.list.s.map(s=>D2(s,a)):n}function sx(e,t,n){let a=e[t];return a&&a.list&&a.list.shape?a.list.shape.map(r=>R2(r)):n}function ix(e,t,n){let a=e[t];return a&&a.list&&a.list.b?a.list.b:n}var WH=class{constructor(e,t,n){this.node=e,this.tensorMap=t,this.context=n,this.inputs=[],this.attrs={},this.inputs=e.inputNames.map(a=>this.getInput(a)),e.rawAttrs!=null&&(this.attrs=Object.keys(e.rawAttrs).reduce((a,r)=>(a[r]=this.getAttr(r),a),{}))}getInput(e){return wn(e,this.tensorMap,this.context)}getAttr(e,t){let n=this.node.rawAttrs[e];if(n.tensor!=null)return wn(e,this.tensorMap,this.context);if(n.i!=null||n.f!=null)return Qy(this.node.rawAttrs,e,t);if(n.s!=null)return Zy(this.node.rawAttrs,e,t);if(n.b!=null)return Jy(this.node.rawAttrs,e,t);if(n.shape!=null)return nx(this.node.rawAttrs,e,t);if(n.type!=null)return ex(this.node.rawAttrs,e,t);if(n.list!=null){if(n.list.i!=null||n.list.f!=null)return ax(this.node.rawAttrs,e,t);if(n.list.s!=null)return rx(this.node.rawAttrs,e,t);if(n.list.shape!=null)return sx(this.node.rawAttrs,e,t);if(n.list.b!=null)return ix(this.node.rawAttrs,e,t);if(n.list.type!=null)return tx(this.node.rawAttrs,e,t)}return t}},un={};_e(un,{OP_SCOPE_SUFFIX:()=>Dx,abs:()=>Lt,acos:()=>qx,acosh:()=>Kx,add:()=>Y,addN:()=>BS,all:()=>Gm,any:()=>Yp,argMax:()=>ri,argMin:()=>Xx,asin:()=>Yx,asinh:()=>Zx,atan:()=>Jx,atan2:()=>Qx,atanh:()=>ev,avgPool:()=>ga,avgPool3d:()=>nv,basicLSTMCell:()=>GS,batchNorm:()=>ws,batchNorm2d:()=>av,batchNorm3d:()=>rv,batchNorm4d:()=>sv,batchToSpaceND:()=>Rc,bincount:()=>iv,booleanMaskAsync:()=>NT,broadcastArgs:()=>HS,broadcastTo:()=>Xs,buffer:()=>Oe,cast:()=>oe,ceil:()=>ov,clipByValue:()=>Qt,clone:()=>sr,complex:()=>Ar,concat:()=>Ze,concat1d:()=>lv,concat2d:()=>uv,concat3d:()=>pv,concat4d:()=>cv,conv1d:()=>Hm,conv2d:()=>$t,conv2dTranspose:()=>jm,conv3d:()=>hv,conv3dTranspose:()=>mv,cos:()=>Mc,cosh:()=>qm,cosineWindow:()=>ff,cumprod:()=>Zp,cumsum:()=>Km,denseBincount:()=>qS,depthToSpace:()=>fv,depthwiseConv2d:()=>ks,diag:()=>KS,dilation2d:()=>gv,div:()=>he,divNoNan:()=>bv,dot:()=>yv,dropout:()=>Hv,einsum:()=>XS,elu:()=>Pu,enclosingPowerOfTwo:()=>jv,equal:()=>Qn,erf:()=>xv,euclideanNorm:()=>kv,exp:()=>fn,expandDims:()=>hn,expm1:()=>Iv,eye:()=>Xm,fft:()=>Uc,fill:()=>gn,floor:()=>Lu,floorDiv:()=>Um,fused:()=>vl,gather:()=>zu,gatherND:()=>AT,greater:()=>Vn,greaterEqual:()=>Is,ifft:()=>xl,imag:()=>$c,image:()=>Nr,inTopKAsync:()=>$T,irfft:()=>cf,isFinite:()=>Sv,isInf:()=>Tv,isNaN:()=>Nv,leakyRelu:()=>Pc,less:()=>Ym,lessEqual:()=>Ss,linalg:()=>Xv,linspace:()=>eT,localResponseNormalization:()=>Cv,log:()=>ea,log1p:()=>Oc,logSigmoid:()=>_v,logSoftmax:()=>Jm,logSumExp:()=>Qm,logicalAnd:()=>Aa,logicalNot:()=>Lc,logicalOr:()=>ef,logicalXor:()=>Ev,losses:()=>UT,lowerBound:()=>nT,matMul:()=>Ae,max:()=>_a,maxPool:()=>Dt,maxPool3d:()=>Av,maxPoolWithArgmax:()=>aT,maximum:()=>cr,mean:()=>Nt,meshgrid:()=>rT,min:()=>Jp,minimum:()=>Bu,mirrorPad:()=>$v,mod:()=>Fv,moments:()=>zc,movingAverage:()=>CT,mul:()=>z,multiRNNCell:()=>sT,multinomial:()=>iT,neg:()=>vt,norm:()=>Ou,notEqual:()=>oi,oneHot:()=>fl,ones:()=>Zn,onesLike:()=>ta,op:()=>L,outerProduct:()=>oT,pad:()=>ba,pad1d:()=>lT,pad2d:()=>uT,pad3d:()=>pT,pad4d:()=>cT,pool:()=>Dv,pow:()=>$r,prelu:()=>Wc,print:()=>Ox,prod:()=>Rv,raggedGather:()=>dT,raggedTensorToTensor:()=>hT,rand:()=>mT,randomGamma:()=>fT,randomNormal:()=>nf,randomStandardNormal:()=>gT,randomUniform:()=>Wu,range:()=>bl,real:()=>gl,reciprocal:()=>Ov,relu:()=>Xe,relu6:()=>af,reshape:()=>B,reverse:()=>fa,reverse1d:()=>bT,reverse2d:()=>yT,reverse3d:()=>xT,reverse4d:()=>vT,rfft:()=>Gc,round:()=>rf,rsqrt:()=>sf,scalar:()=>ye,scatterND:()=>_T,searchSorted:()=>tf,selu:()=>of,separableConv2d:()=>Ts,setdiff1dAsync:()=>wT,sigmoid:()=>ha,sign:()=>Lv,signal:()=>VT,sin:()=>lf,sinh:()=>uf,slice:()=>We,slice1d:()=>Vc,slice2d:()=>pf,slice3d:()=>fo,slice4d:()=>yl,softmax:()=>ja,softplus:()=>mo,spaceToBatchND:()=>Bc,sparse:()=>GT,sparseToDense:()=>ET,spectral:()=>WT,split:()=>Ln,sqrt:()=>ln,square:()=>lt,squaredDifference:()=>df,squeeze:()=>Ns,stack:()=>Ft,step:()=>go,stridedSlice:()=>zv,string:()=>HT,sub:()=>pe,sum:()=>fe,tan:()=>Bv,tanh:()=>si,tensor:()=>On,tensor1d:()=>Ke,tensor2d:()=>Ea,tensor3d:()=>Fc,tensor4d:()=>Fa,tensor5d:()=>kT,tensor6d:()=>IT,tile:()=>Pn,topk:()=>Wv,transpose:()=>Ce,truncatedNormal:()=>hf,unique:()=>Vv,unsortedSegmentSum:()=>mf,unstack:()=>ct,upperBound:()=>ST,variable:()=>Uv,where:()=>mn,whereAsync:()=>Gv,zeros:()=>It,zerosLike:()=>je});var VH=(e,t,n,a=un)=>{switch(e.op){case"BiasAdd":case"AddV2":case"Add":return[a.add(k("a",e,t,n),k("b",e,t,n))];case"AddN":return[a.addN(k("tensors",e,t,n))];case"FloorMod":case"Mod":return[a.mod(k("a",e,t,n),k("b",e,t,n))];case"Mul":return[a.mul(k("a",e,t,n),k("b",e,t,n))];case"RealDiv":case"Div":return[a.div(k("a",e,t,n),k("b",e,t,n))];case"DivNoNan":return[a.divNoNan(k("a",e,t,n),k("b",e,t,n))];case"FloorDiv":return[a.floorDiv(k("a",e,t,n),k("b",e,t,n))];case"Sub":return[a.sub(k("a",e,t,n),k("b",e,t,n))];case"Minimum":return[a.minimum(k("a",e,t,n),k("b",e,t,n))];case"Maximum":return[a.maximum(k("a",e,t,n),k("b",e,t,n))];case"Pow":return[a.pow(k("a",e,t,n),k("b",e,t,n))];case"SquaredDifference":return[a.squaredDifference(k("a",e,t,n),k("b",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},UH=(e,t,n,a=un)=>{switch(e.op){case"Abs":case"ComplexAbs":return[a.abs(k("x",e,t,n))];case"Acos":return[a.acos(k("x",e,t,n))];case"Acosh":return[a.acosh(k("x",e,t,n))];case"Asin":return[a.asin(k("x",e,t,n))];case"Asinh":return[a.asinh(k("x",e,t,n))];case"Atan":return[a.atan(k("x",e,t,n))];case"Atan2":return[a.atan2(k("x",e,t,n),k("y",e,t,n))];case"Atanh":return[a.atanh(k("x",e,t,n))];case"Ceil":return[a.ceil(k("x",e,t,n))];case"Complex":return[a.complex(k("real",e,t,n),k("imag",e,t,n))];case"Cos":return[a.cos(k("x",e,t,n))];case"Cosh":return[a.cosh(k("x",e,t,n))];case"Elu":return[a.elu(k("x",e,t,n))];case"Erf":return[a.erf(k("x",e,t,n))];case"Exp":return[a.exp(k("x",e,t,n))];case"Expm1":return[a.expm1(k("x",e,t,n))];case"Floor":return[a.floor(k("x",e,t,n))];case"Log":return[a.log(k("x",e,t,n))];case"Log1p":return[a.log1p(k("x",e,t,n))];case"Imag":return[a.imag(k("x",e,t,n))];case"Neg":return[a.neg(k("x",e,t,n))];case"Reciprocal":return[a.reciprocal(k("x",e,t,n))];case"Real":return[a.real(k("x",e,t,n))];case"Relu":return[a.relu(k("x",e,t,n))];case"Round":return[a.round(k("x",e,t,n))];case"Selu":return[a.selu(k("x",e,t,n))];case"Sigmoid":return[a.sigmoid(k("x",e,t,n))];case"Sin":return[a.sin(k("x",e,t,n))];case"Sign":return[a.sign(k("x",e,t,n))];case"Sinh":return[a.sinh(k("x",e,t,n))];case"Softplus":return[a.softplus(k("x",e,t,n))];case"Sqrt":return[a.sqrt(k("x",e,t,n))];case"Square":return[a.square(k("x",e,t,n))];case"Tanh":return[a.tanh(k("x",e,t,n))];case"Tan":return[a.tan(k("x",e,t,n))];case"ClipByValue":return[a.clipByValue(k("x",e,t,n),k("clipValueMin",e,t,n),k("clipValueMax",e,t,n))];case"Relu6":return[a.relu6(k("x",e,t,n))];case"Rsqrt":return[a.rsqrt(wn(e.inputNames[0],t,n))];case"Prod":return[a.prod(k("x",e,t,n),k("axes",e,t,n))];case"LeakyRelu":return[a.leakyRelu(k("x",e,t,n),k("alpha",e,t,n))];case"Prelu":return[a.prelu(k("x",e,t,n),k("alpha",e,t,n))];case"IsNan":return[a.isNaN(wn(e.inputNames[0],t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function Ca(e,t,n=""){if(!(typeof e=="number"||typeof t=="number")){v.assert(e.length===t.length,()=>n+` Shapes ${e} and ${t} must match`);for(let a=0;an+` Shapes ${e} and ${t} must match`)}}}function qk(e){return!(typeof e=="number"||e.some(t=>t<0))}function Ep(e,t,n){let a=ox(e,n),r=!qk(a);if(r&&t.length===0)throw new Error(`Tried to calculate elements of an empty list with non-fully-defined elementShape: ${a}`);if(r&&t.forEach(s=>{a=ox(s.shape,a)}),!qk(a))throw new Error(`Non-fully-defined elementShape: ${a}`);return a}function ox(e,t){if(typeof e=="number")return t;if(typeof t=="number")return e;if(e.length!==t.length)throw new Error(`Incompatible ranks during merge: ${e} vs. ${t}`);let n=[];for(let a=0;a=0&&s>=0&&r!==s)throw new Error(`Incompatible shape during merge: ${e} vs. ${t}`);n[a]=r>=0?r:s}return n}var GH=class{constructor(e,t,n,a,r,s,i){this.name=e,this.dtype=t,this.maxSize=n,this.elementShape=a,this.identicalElementShapes=r,this.dynamicSize=s,this.clearAfterRead=i,this.tensors=[],this.closed_=!1,this.idTensor=ye(0),Zt(this.idTensor)}get id(){return this.idTensor.id}get closed(){return this.closed_}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.tensor.id))&&t.tensor.dispose()}),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}size(){return this.tensors.length}read(e){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||e>=this.size())throw new Error(`Tried to read from index ${e}, but array size is: ${this.size()}`);let t=this.tensors[e];if(t.cleared)throw new Error(`TensorArray ${this.name}: Could not read index ${e} twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).`);return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor}readMany(e){return e.map(t=>this.read(t))}write(e,t){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error(`Tried to write to index ${e}, but array is not resizeable and size is: ${this.maxSize}`);let n=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, - because the value dtype is ${t.dtype}, but TensorArray dtype is ${this.dtype}.`);if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=t.shape),Ca(this.elementShape,t.shape,`TensorArray ${this.name}: Could not write to TensorArray index ${e}.`),n.read)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been read.`);if(n.written)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been written.`);n.tensor=t,Zt(t),n.written=!0,this.tensors[e]=n}writeMany(e,t){if(e.length!==t.length)throw new Error(`TensorArray ${this.name}: could not write multiple tensors,because the index size: ${e.length} is not the same as tensors size: ${t.length}.`);e.forEach((n,a)=>this.write(n,t[a]))}gather(e,t){if(!!t&&t!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but gather requested dtype ${t}`);if(e)e=e.slice(0,this.size());else{e=[];for(let a=0;a=this.maxSize)throw new Error(`Max index must be < array size (${n} vs. ${this.maxSize})`);this.writeMany(e,ct(t,0))}split(e,t){if(t.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${t.dtype}`);let n=0,a=e.map(o=>(n+=o,n));if(n!==t.shape[0])throw new Error(`Expected sum of lengths to be equal to +2. The custom ${a} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);if(l!=null){let u={};for(let h of Object.keys(Sa))u[h]=Sa[h];for(let h of Object.keys(n))u[h]=n[h];let p=s.config;p.customObjects=u;let d=Object.assign({},Sa);for(let h of Object.keys(n))Sa[h]=n[h];Uy(s.config);let c=l(o,s.config,n,r);return Sa=Object.assign({},d),c}else{let u=Object.assign({},Sa);for(let d of Object.keys(n))Sa[d]=n[d];let p=new o(s.config);return Sa=Object.assign({},u),p}}}function W4(e,t){return et?1:0}function oh(e,t){return-1*W4(e,t)}function as(e){if(e==null)return e;let t=[];for(let n of e)t.indexOf(n)===-1&&t.push(n);return t}function B4(e){if(e==null)throw new V(`Invalid value in obj: ${JSON.stringify(e)}`);for(let t in e)if(e.hasOwnProperty(t))return!1;return!0}function bo(e,t,n){if(n!=null&&e.indexOf(n)<0)throw new V(`${n} is not a valid ${t}. Valid values are ${e} or null/undefined.`)}function tw(e,t,n=0,a=1/0){return ar(n>=0),ar(a>=n),Array.isArray(e)&&e.length>=n&&e.length<=a&&e.every(r=>typeof r===t)}function Qt(e,t){Array.isArray(e)?(v.assert(e.length>0,()=>`${t} is unexpectedly an empty array.`),e.forEach((n,a)=>Qt(n,`element ${a+1} of ${t}`))):v.assert(Number.isInteger(e)&&e>0,()=>`Expected ${t} to be a positive integer, but got ${iN(e)}.`)}function iN(e){return e===null?"null":Array.isArray(e)?"["+e.map(t=>iN(t)).join(",")+"]":typeof e=="string"?`"${e}"`:`${e}`}function V4(e,t,n){let a=n!=null?n():v.now(),r;return(...s)=>{let i=n!=null?n():v.now();return i-a0){let n=`${e}_${t}`;return al.set(n,1),n}else return e}var Z4=new RegExp(/^[A-Za-z0-9][-A-Za-z0-9\._\/]*$/);function dN(e){return!!e.match(Z4)}function J4(e){return e===parseInt(e.toString(),10)}function rs(e,t,n){t==null&&(t=0),n==null&&(n=e.length);let a=1;for(let r=t;rt&&(t=a)}return t}function Ha(e,t){if(t{if(e.shape.length!==2)throw new V(`repeat() expects a rank-2 tensor, but received a rank-${e.shape.length} tensor.`);let n=Xc(e,1);return Gy(n,[1,t,1])})}function eV(e){let t=[rs(e.shape)];return W(e,t)}function tV(e){if(e.rank<=1)throw new V(`batchFlatten requires a minimum rank of 2. Got rank: ${e.rank}.`);let t=[e.shape[0],rs(e.shape,1)];return W(e,t)}function Zs(e,t,n){return P(()=>{switch(e.rank){case 1:return Gc(e,t,n);case 2:return df(e,[t,0],[n,e.shape[1]]);case 3:return fo(e,[t,0,0],[n,e.shape[1],e.shape[2]]);case 4:return vl(e,[t,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3]]);case 5:return Be(e,[t,0,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3],e.shape[4]]);case 6:return Be(e,[t,0,0,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3],e.shape[4],e.shape[5]]);default:throw new V(`sliceAlongFirstAxis() received an unsupported tensor rank: ${e.rank}`)}})}function xy(e,t,n){return P(()=>{switch(e.rank){case 1:return Gc(e,t,n);case 2:return df(e,[0,t],[e.shape[0],n]);case 3:return fo(e,[0,0,t],[e.shape[0],e.shape[1],n]);case 4:return vl(e,[0,0,0,t],[e.shape[0],e.shape[1],e.shape[2],n]);default:throw new V(`sliceAlongLastAxis() received an unsupported tensor rank: ${e.rank}`)}})}function uh(e,t,n,a){return P(()=>{switch(e.rank){case 1:return Gc(e,t,n);case 2:switch(a){case 1:return Zs(e,t,n);case 2:return xy(e,t,n);default:throw new V(`The axis is not within the rank of the tensor ${a}`)}case 3:switch(a){case 1:return Zs(e,t,n);case 2:return fo(e,[0,t,0],[e.shape[0],n,e.shape[2]]);case 3:return xy(e,t,n);default:throw new V(`The axis is not within the rank of the tensor ${a}`)}case 4:switch(a){case 1:return Zs(e,t,n);case 2:return vl(e,[0,t,0,0],[e.shape[0],n,e.shape[2],e.shape[3]]);case 3:return vl(e,[0,0,t,0],[e.shape[0],e.shape[1],n,e.shape[3]]);case 4:return xy(e,t,n);default:throw new V(`The axis is not within the rank of the tensor ${a}`)}default:throw new V(`sliceAlongLastAxis() received an unsupported tensor rank: ${e.rank}`)}})}function nw(e,t=-1){let n;return t<0&&(n=e[0].rank,n!==0?t=n:t=0),t===e[0].rank&&(t=-1),Ze(e,t)}function Ak(e,t){switch(e.rank){case 1:return pv([e,t]);case 2:return cv([e,t],0);case 3:return dv([e,t],0);case 4:return hv([e,t],0);default:throw new V(`concatAlongFirstAxis() received an unsupported tensor rank: ${e.rank}`)}}function Gy(e,t){if(Array.isArray(t)||(t=[t]),e.rank!==t.length)throw new V(`The length of input n (${t.length}) does not match the number of dimensions in input x (${e.rank})`);return Ln(e,t)}function Ef(e,t=0,n=1,a,r){return rf(e,t,n,a,r)}function or(e,t,n,a){if(e.rank<2||t.rank<2)throw new Me(`dot requires both inputs to be rank >= 2 but got x shape = ${e.shape} and y shape = ${t.shape}`);if(t.rank>=3){let r=e.shape.slice(-1)[0],s=t.shape.slice(-2)[0];if(r!==s)throw new Me(`If rank y >= 3, then the second last dim of y must equal the last dim of x but got x shape = ${e.shape} and y shape = ${t.shape}`)}if(e.rank===2&&t.rank===2)return kl.matMul({a:e,b:t,transposeA:!1,transposeB:!1,bias:a?Hy(e.rank,a,ja()):null,activation:n});{let r=e.shape.slice(),s=r.pop();e=W(e,[-1,s]);let i=t.shape.slice(),o=i.pop(),l=i.pop(),u=[...i,o],p=Array.from({length:t.rank},(m,f)=>f===0?t.rank-2:f<=t.rank-2?f-1:f);t=W(Ee(t,p),[l,-1]);let d=[...r,...u],c=!1,h=!1;return W(kl.matMul({a:e,b:t,transposeA:c,transposeB:h,bias:a?Hy(e.rank,a,ja()):null,activation:n}),d)}}function hN(e,t,n){return P(()=>(Array.isArray(t)?t=Ke(t,"int32"):t=oe(t,"int32"),Bu(e,t,n)))}function Yc(e){return z(e,e)}function Hy(e,t,n){let a=t.shape;if(t.rank!==1&&t.rank!==e)throw new V(`Unexpected bias dimensions: ${t.rank}; expected it to be 1 or ${e}`);if(e===5){if(n==="channelsFirst")return a.length===1?W(t,[1,a[0],1,1,1]):W(t,[1,a[3],a[0],a[1],a[2]]);if(n==="channelsLast")return a.length===1?W(t,[1,1,1,1,a[0]]):W(t,[1].concat(a))}else if(e===4){if(n==="channelsFirst")return a.length===1?W(t,[1,a[0],1,1]):W(t,[1,a[2],a[0],a[1]]);if(n==="channelsLast")return a.length===1?W(t,[1,1,1,a[0]]):W(t,[1].concat(a))}else if(e===3){if(n==="channelsFirst")return a.length===1?W(t,[1,a[0],1]):W(t,[1,a[1],a[0]]);if(n==="channelsLast")return a.length===1?W(t,[1,1,a[0]]):W(t,[1].concat(a))}else if(e<3)return t;throw new V(`Unsupported input rank by biasAdd: ${t.rank}`)}function Xa(e,t,n){return P(()=>(n==null&&(n=ja()),Rt(n),Y(e,Hy(e.rank,t,n))))}function nV(e,t=1){if(t!==1)throw new Me(`Support for alpha values other than 1 (${t}) is not implemented yet.`);return Lu(e)}function aV(e){return P(()=>he(e,Y(Lt(e),1)))}function mN(e,t,n,a){return P(()=>qv(e,t,n,a))}function rV(e){return P(()=>{let t=Y(.5,z(.2,e));return en(t,0,1)})}function Zc(e,t,n=!1){return n?e():t()}var sV=["fanIn","fanOut","fanAvg"],iV=["normal","uniform","truncatedNormal"];function oV(e){bo(sV,"FanMode",e)}function lV(e){bo(iV,"Distribution",e)}var Ra=class extends ne.Serializable{fromConfigUsesCustomObjects(){return!1}getConfig(){return{}}},aw=class extends Ra{apply(e,t){return It(e,t)}};aw.className="Zeros";ne.registerClass(aw);var Af=class extends Ra{apply(e,t){return Jn(e,t)}};Af.className="Ones";ne.registerClass(Af);var rw=class extends Ra{constructor(e){if(super(),typeof e!="object")throw new V(`Expected argument of type ConstantConfig but got ${e}`);if(e.value===void 0)throw new V(`config must have value set but got ${e}`);this.value=e.value}apply(e,t){return P(()=>z(ye(this.value),Jn(e,t)))}getConfig(){return{value:this.value}}};rw.className="Constant";ne.registerClass(rw);var sw=class extends Ra{constructor(e){super(),this.DEFAULT_MINVAL=-.05,this.DEFAULT_MAXVAL=.05,this.minval=e.minval||this.DEFAULT_MINVAL,this.maxval=e.maxval||this.DEFAULT_MAXVAL,this.seed=e.seed}apply(e,t){return Uu(e,this.minval,this.maxval,t)}getConfig(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}}};sw.className="RandomUniform";ne.registerClass(sw);var iw=class extends Ra{constructor(e){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=e.mean||this.DEFAULT_MEAN,this.stddev=e.stddev||this.DEFAULT_STDDEV,this.seed=e.seed}apply(e,t){if(t=t||"float32",t!=="float32"&&t!=="int32")throw new Me(`randomNormal does not support dType ${t}.`);return Ef(e,this.mean,this.stddev,t,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};iw.className="RandomNormal";ne.registerClass(iw);var ow=class extends Ra{constructor(e){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=e.mean||this.DEFAULT_MEAN,this.stddev=e.stddev||this.DEFAULT_STDDEV,this.seed=e.seed}apply(e,t){if(t=t||"float32",t!=="float32"&&t!=="int32")throw new Me(`truncatedNormal does not support dType ${t}.`);return ff(e,this.mean,this.stddev,t,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};ow.className="TruncatedNormal";ne.registerClass(ow);var lw=class extends Ra{constructor(e){super(),this.gain=e.gain!=null?e.gain:1}apply(e,t){return P(()=>{if(e.length!==2||e[0]!==e[1])throw new V("Identity matrix initializer can only be used for 2D square matrices.");return z(this.gain,Zm(e[0]))})}getConfig(){return{gain:this.gain}}};lw.className="Identity";ne.registerClass(lw);function uV(e,t="channelsLast"){let n,a;if(Rt(t),e.length===2)n=e[0],a=e[1];else if([3,4,5].indexOf(e.length)!==-1){if(t==="channelsFirst"){let r=rs(e,2);n=e[1]*r,a=e[0]*r}else if(t==="channelsLast"){let r=rs(e,0,e.length-2);n=e[e.length-2]*r,a=e[e.length-1]*r}}else{let r=rs(e);n=Math.sqrt(r),a=Math.sqrt(r)}return[n,a]}var Bn=class extends Ra{constructor(e){if(super(),e.scale<0)throw new V(`scale must be a positive float. Got: ${e.scale}`);this.scale=e.scale==null?1:e.scale,this.mode=e.mode==null?"fanIn":e.mode,oV(this.mode),this.distribution=e.distribution==null?"normal":e.distribution,lV(this.distribution),this.seed=e.seed}apply(e,t){let n=uV(e),a=n[0],r=n[1],s=this.scale;if(this.mode==="fanIn"?s/=Math.max(1,a):this.mode==="fanOut"?s/=Math.max(1,r):s/=Math.max(1,(a+r)/2),this.distribution==="normal"){let i=Math.sqrt(s);if(t=t||"float32",t!=="float32"&&t!=="int32")throw new Me(`${this.getClassName()} does not support dType ${t}.`);return ff(e,0,i,t,this.seed)}else{let i=Math.sqrt(3*s);return Uu(e,-i,i,t)}}getConfig(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}}};Bn.className="VarianceScaling";ne.registerClass(Bn);var $f=class extends Bn{constructor(e){super({scale:1,mode:"fanAvg",distribution:"uniform",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};$f.className="GlorotUniform";ne.registerClass($f);var Ff=class extends Bn{constructor(e){super({scale:1,mode:"fanAvg",distribution:"normal",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};Ff.className="GlorotNormal";ne.registerClass(Ff);var Df=class extends Bn{constructor(e){super({scale:2,mode:"fanIn",distribution:"normal",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};Df.className="HeNormal";ne.registerClass(Df);var Rf=class extends Bn{constructor(e){super({scale:2,mode:"fanIn",distribution:"uniform",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};Rf.className="HeUniform";ne.registerClass(Rf);var Mf=class extends Bn{constructor(e){super({scale:1,mode:"fanIn",distribution:"normal",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};Mf.className="LeCunNormal";ne.registerClass(Mf);var Pf=class extends Bn{constructor(e){super({scale:1,mode:"fanIn",distribution:"uniform",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};Pf.className="LeCunNormal";ne.registerClass(Pf);var uw=class extends Ra{constructor(e){if(super(),this.DEFAULT_GAIN=1,this.gain=e.gain==null?this.DEFAULT_GAIN:e.gain,this.seed=e.seed,this.seed!=null)throw new Me("Random seed is not implemented for Orthogonal Initializer yet.")}apply(e,t){return P(()=>{if(e.length<2)throw new Me("Shape must be at least 2D.");e[0]*e[1]>2e3&&console.warn(`Orthogonal initializer is being called on a matrix with more than 2000 (${e[0]*e[1]}) elements: Slowness may result.`);let n=e[0]>e[1]?[e[1],e[0]]:e,a=Ef(n,0,1,"float32"),r=Zv.gramSchmidt(a);return e[0]>e[1]&&(r=Ee(r)),z(this.gain,r)})}getConfig(){return{gain:this.gain,seed:this.seed}}};uw.className="Orthogonal";ne.registerClass(uw);var $k={constant:"Constant",glorotNormal:"GlorotNormal",glorotUniform:"GlorotUniform",heNormal:"HeNormal",heUniform:"HeUniform",identity:"Identity",leCunNormal:"LeCunNormal",leCunUniform:"LeCunUniform",ones:"Ones",orthogonal:"Orthogonal",randomNormal:"RandomNormal",randomUniform:"RandomUniform",truncatedNormal:"TruncatedNormal",varianceScaling:"VarianceScaling",zeros:"Zeros"};function Fk(e,t={}){return Kc(e,ne.SerializationMap.getMap().classNameMap,t,"initializer")}function Ct(e){return ew(e)}function St(e){if(typeof e=="string"){let t=e in $k?$k[e]:e;if(t==="GlorotNormal")return new Ff;if(t==="GlorotUniform")return new $f;if(t==="HeNormal")return new Df;if(t==="HeUniform")return new Rf;if(t==="LeCunNormal")return new Mf;if(t==="LeCunUniform")return new Pf;{let n={};return n.className=t,n.config={},Fk(n)}}else return e instanceof Ra?e:Fk(e)}function jy(e){return Array.isArray(e)&&Array.isArray(e[0])}function Wh(e){return e.length===0?[]:Array.isArray(e[0])?e:[e]}function Ne(e){let t;if(Array.isArray(e)){if(e.length!==1)throw new V(`Expected Tensor length to be 1; got ${e.length}`);t=e[0]}else t=e;return t}function tt(e){if(Array.isArray(e)&&Array.isArray(e[0])){if(e.length===1)return e=e,e[0];throw new V(`Expected exactly 1 Shape; got ${e.length}`)}else return e}function Bh(e){let t=0;for(let n of e)n.shape.length===0?t+=1:t+=n.shape.reduce((a,r)=>a*r);return t}var Dk="Variable",fN=class{constructor(e,t="float32",n=Dk,a=!0,r=null){this.dtype=t==null?"float32":t,this.shape=e.shape,this.id=lN(),n=n==null?Dk:n,this.originalName=pN(n),this.name=cN(this.originalName),this.trainable_=a,this.constraint=r,this.val=Hv(e,this.trainable_,this.name,this.dtype)}read(){return this.assertNotDisposed(),this.val}write(e){return this.assertNotDisposed(),pV(this.val,e),this.val.id!==e.id&&(this.val.assign(e),this.constraint!=null&&this.val.assign(this.constraint.apply(this.val))),this}dispose(){this.assertNotDisposed(),this.val.dispose()}assertNotDisposed(){if(this.val.isDisposed)throw new Error(`LayersVariable ${this.name} is already disposed.`)}get trainable(){return this.trainable_}set trainable(e){this.trainable_=e,this.val.trainable=e}};function pV(e,t){if(e.shape.toString()!==t.shape.toString())throw new Error("Shape mismatch: "+JSON.stringify(e.shape)+" vs. "+JSON.stringify(t.shape))}function qy(e){return e.map(t=>t.read())}function pw(e){e.forEach(t=>{t[0].write(t[1])})}var zt=class{constructor(e){this.dtype=e.dtype,this.shape=e.shape,e.shape!=null?this.ndim=e.shape.length:this.ndim=e.ndim,this.maxNDim=e.maxNDim,this.minNDim=e.minNDim,this.axes=e.axes||{}}},Ba=class{constructor(e,t,n,a,r,s,i){this.dtype=e,this.shape=t,this.sourceLayer=n,this.inputs=a,this.callArgs=r,this.outputTensorIndex=i,this.id=lN(),s!=null&&(this.originalName=pN(s),this.name=cN(this.originalName)),this.rank=t.length}},cV=0,Of=class{constructor(e,t){this.callArgs=t,this.id=cV++,this.outboundLayer=e.outboundLayer,this.inboundLayers=e.inboundLayers,this.nodeIndices=e.nodeIndices,this.tensorIndices=e.tensorIndices,this.inputTensors=e.inputTensors,this.outputTensors=e.outputTensors,this.inputMasks=e.inputMasks,this.outputMasks=e.outputMasks,this.inputShapes=e.inputShapes,this.outputShapes=e.outputShapes;for(let n of e.inboundLayers)n!=null&&n.outboundNodes.push(this);e.outboundLayer.inboundNodes.push(this)}getConfig(){let e=[];for(let t of this.inboundLayers)t!=null?e.push(t.name):e.push(null);return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:e,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}}},dV=0,Ge=class extends ne.Serializable{constructor(e={}){super(),this._callHook=null,this._addedWeightNames=[],this._stateful=!1,this.id=dV++,this.activityRegularizer=null,this.inputSpec=null,this.supportsMasking=!1,this._trainableWeights=[],this._nonTrainableWeights=[],this._losses=[],this._updates=[],this._built=!1,this.inboundNodes=[],this.outboundNodes=[];let t=e.name;if(!t){let n=this.getClassName();t=Sr(n)+"_"+_f(n)}if(this.name=t,this.trainable_=e.trainable==null?!0:e.trainable,e.inputShape!=null||e.batchInputShape!=null){let n;if(e.batchInputShape!=null)n=e.batchInputShape;else if(e.inputShape!=null){let r=null;e.batchSize!=null&&(r=e.batchSize),n=[r].concat(e.inputShape)}this.batchInputShape=n;let a=e.dtype;a==null&&(a=e.inputDType),a==null&&(a="float32"),this.dtype=a}e.weights!=null?this.initialWeights=e.weights:this.initialWeights=null,this._refCount=null,this.fastWeightInitDuringBuild=!1}static nodeKey(e,t){return e.name+"_ib-"+t.toString()}getNodeAtIndex(e,t){if(this.inboundNodes.length===0)throw new Wa(`The layer has never been called and thus has no defined ${t}.`);if(this.inboundNodes.length<=e)throw new V(`Asked to get ${t} at node ${e}, but the layer has only ${this.inboundNodes.length} inbound nodes.`);return this.inboundNodes[e]}getInputAt(e){return On(this.getNodeAtIndex(e,"input").inputTensors)}getOutputAt(e){return On(this.getNodeAtIndex(e,"output").outputTensors)}get input(){if(this.inboundNodes.length>1)throw new Ir(`Layer ${this.name} has multiple inbound nodes, hence the notion of "layer input" is ill-defined. Use \`getInputAt(nodeIndex)\` instead.`);if(this.inboundNodes.length===0)throw new Ir(`Layer ${this.name} is not connected, no input to return.`);return On(this.getNodeAtIndex(0,"input").inputTensors)}get output(){if(this.inboundNodes.length===0)throw new Ir(`Layer ${this.name} has no inbound nodes.`);if(this.inboundNodes.length>1)throw new Ir(`Layer ${this.name} has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use \`getOutputAt(nodeIndex)\` instead.`);return On(this.getNodeAtIndex(0,"output").outputTensors)}get losses(){return this._losses}calculateLosses(){return this.losses.map(e=>e())}get updates(){return this._updates}get built(){return this._built}set built(e){this._built=e}get trainable(){return this.trainable_}set trainable(e){this._trainableWeights.forEach(t=>t.trainable=e),this.trainable_=e}get trainableWeights(){return this.trainable_?this._trainableWeights.filter(e=>e.trainable):[]}set trainableWeights(e){this._trainableWeights=e}get nonTrainableWeights(){return this.trainable?this._trainableWeights.filter(e=>!e.trainable).concat(this._nonTrainableWeights):this._trainableWeights.concat(this._nonTrainableWeights)}set nonTrainableWeights(e){this._nonTrainableWeights=e}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}get stateful(){return this._stateful}resetStates(){if(!this.stateful)throw new Error("Cannot call the resetStates() method of a non-stateful Layer object.")}assertInputCompatibility(e){if(e=xt(e),this.inputSpec==null||this.inputSpec.length===0)return;let t=xt(this.inputSpec);if(e.length!==t.length)throw new V(`Layer ${this.name} expects ${t.length} inputs, but it received ${e.length} input tensors. Input received: ${e}`);for(let n=0;nr.maxNDim)throw new V(`Input ${n} is incompatible with layer ${this.name}: expected max_ndim=${r.maxNDim}, found ndim=${s}`);if(r.minNDim!=null&&s=0?i[l]:i[i.length+l];if(u!=null&&[u,null].indexOf(p)===-1)throw new V(`Input ${n} is incompatible with layer ${this.name}: expected axis ${l} of input shape to have value ${u} but got shape ${i}.`)}}if(r.shape!=null)for(let i=0;i{if(!this.built){this.assertInputCompatibility(e);let s=[];for(let i of xt(e))s.push(i.shape);this.build(On(s)),this.built=!0,this.initialWeights&&this.setWeights(this.initialWeights),this._refCount===null&&r&&(this._refCount=1)}if(this.assertInputCompatibility(e),r){let s=this.call(e,t),i=xt(s),o=[];for(let l of i)n.indexOf(l)!==-1&&(l=l.clone()),o.push(l);if(s=On(o),this.activityRegularizer!=null)throw new Me("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return s}else{let s=hV(e),i=this.computeOutputShape(s),o,l=mV(e);if(this.warnOnIncompatibleInputShape(Array.isArray(e)?s[0]:s),i!=null&&i.length>0&&Array.isArray(i[0])?o=i.map((u,p)=>new Ba(l,u,this,xt(e),t,this.name,p)):o=new Ba(l,i,this,xt(e),t,this.name),this.addInboundNode(e,o,null,null,s,i,t),this._refCount++,this.activityRegularizer!=null)throw new Me("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return o}})}warnOnIncompatibleInputShape(e){if(this.batchInputShape!=null)if(e.length!==this.batchInputShape.length)console.warn(`The rank of the input tensor provided (shape: ${JSON.stringify(e)}) does not match that of the batchInputShape (${JSON.stringify(this.batchInputShape)}) of the layer ${this.name}`);else{let t=!1;this.batchInputShape.forEach((n,a)=>{n!=null&&e[a]!=null&&e[a]!==n&&(t=!0)}),t&&console.warn(`The shape of the input tensor (${JSON.stringify(e)}) does not match the expectation of layer ${this.name}: ${JSON.stringify(this.batchInputShape)}`)}}get outputShape(){if(this.inboundNodes==null||this.inboundNodes.length===0)throw new Ir(`The layer ${this.name} has never been called and thus has no defined output shape.`);let e=[];for(let t of this.inboundNodes){let n=JSON.stringify(t.outputShapes);e.indexOf(n)===-1&&e.push(n)}if(e.length===1){let t=this.inboundNodes[0].outputShapes;return Array.isArray(t)&&Array.isArray(t[0])&&t.length===1?t[0]:t}else throw new Ir(`The layer ${this.name} has multiple inbound nodes with different output shapes. Hence the notion of "output shape" is ill-defined for the layer.`)}countParams(){if(!this.built)throw new Wa(`You tried to call countParams() on ${this.name}, but the layer is not built yet. Build it first by calling build(batchInputShape).`);return Bh(this.weights)}build(e){this.built=!0}getWeights(e=!1){return qy(e?this.trainableWeights:this.weights)}setWeights(e){P(()=>{let t=this.weights;if(t.length!==e.length)throw new V(`You called setWeights(weights) on layer "${this.name}" with a weight list of length ${e.length}, but the layer was expecting ${t.length} weights. Provided weights: ${e}...`);if(t.length===0)return;let n=[],a=qy(t);for(let r=0;rr.apply(u.read())),s==null&&(s=!0),s?this._trainableWeights.push(u):this._nonTrainableWeights.push(u),u}setFastWeightInitDuringBuild(e){this.fastWeightInitDuringBuild=e}addLoss(e){e==null||Array.isArray(e)&&e.length===0||(e=xt(e),this._losses!==void 0&&this._losses!==null&&this.losses.push(...e))}computeOutputShape(e){return e}computeMask(e,t){if(!this.supportsMasking){if(t!=null)if(Array.isArray(t))t.forEach(n=>{if(n!=null)throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`)});else throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`);return null}return t}addInboundNode(e,t,n,a,r,s,i=null){let o=xt(e);t=xt(t),n=xt(n),a=xt(a),r=Wh(r),s=Wh(s);let l=[],u=[],p=[];for(let d of o)l.push(d.sourceLayer),u.push(d.nodeIndex),p.push(d.tensorIndex);new Of({outboundLayer:this,inboundLayers:l,nodeIndices:u,tensorIndices:p,inputTensors:o,outputTensors:t,inputMasks:n,outputMasks:a,inputShapes:r,outputShapes:s},i);for(let d=0;de.dispose()),this.weights.length}assertNotDisposed(){if(this._refCount===0)throw new Error(`Layer '${this.name}' is already disposed.`)}dispose(){if(!this.built)throw new Error(`Cannot dispose Layer ${this.name} because it has not been built yet.`);if(this._refCount===null)throw new Error(`Cannot dispose Layer ${this.name} because it has not been used yet.`);this.assertNotDisposed();let e=0;return--this._refCount===0&&(e=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:e}}};function hV(e){e=xt(e);let t=[];for(let n of e)t.push(n.shape);return On(t)}function mV(e){return"float32"}function gN(e,t,n){if((t==null||n!=null&&n>0)&&(t=e.sourceLayer,n=e.nodeIndex),t.inboundNodes.length===0)return[e];{let a=t.inboundNodes[n];if(a.inboundLayers.length===0)return a.inputTensors;{let r=[];for(let s=0;sm.name),l=[],u=t.names();for(let m of o)u.indexOf(m)!==-1?l.push(t.getValue(m)):l.push(null);a!=null&&(a.maxNumTensors=-1/0,a.minNumTensors=1/0);let p=o.join(",")+"|"+t.names().sort().join(","),d=Vh.get(p),c;if(d==null){let m=bV(i,t);d=m.sorted,c=m.recipientCounts,Vh.put(p,d),Uh.put(p,c)}c={},r||Object.assign(c,Uh.get(p));let h=new js(t);for(let m=0;ma.maxNumTensors&&(a.maxNumTensors=A),A0,()=>"Expected at least one fetch, got none");let n=[],a={};if(e.length===1){let r=Rk(e[0],t);n=r.sorted,a=r.recipientMap}else{let r=new Set;for(let s of e){let{sorted:i,recipientMap:o}=Rk(s,t);for(let l of i)r.has(l.name)||(n.push(l),r.add(l.name));for(let l in o)a[l]==null&&(a[l]=new Set),o[l].forEach(u=>a[l].add(u))}}return{sorted:n,recipientCounts:yV(a)}}function yV(e){let t={};for(let n in e)t[n]=e[n].size;return t}function Rk(e,t){let n=new Set,a=[],r={};for(let o of t.names())n.add(o);let s=[],i=[];for(s.push(e);s.length>0;){let o=s[s.length-1];if(n.has(o.name)){s.pop();continue}let l=i[i.length-1]===s.length-1;if(o.inputs.length===0||l)s.pop(),a.push(o),n.add(o.name),l&&i.pop();else{i.push(s.length-1);for(let u of o.inputs)r[u.name]==null&&(r[u.name]=new Set),r[u.name].add(o.name),!n.has(u.name)&&s.push(u)}}return{sorted:a,recipientMap:r}}function xV(e){let t;if(e.sourceLayer.inboundNodes.length===1)t=e.sourceLayer.output;else{let n=null;for(let a=0;a100,gV);var yN={};Ae(yN,{maxNorm:()=>wV,minMaxNorm:()=>SV,nonNeg:()=>IV,unitNorm:()=>kV});function cw(e,t){return P(()=>un(fe(z(e,e),t,!0)))}var Jc=class extends ne.Serializable{getConfig(){return{}}},dw=class extends Jc{constructor(e){super(),this.defaultMaxValue=2,this.defaultAxis=0,this.maxValue=e.maxValue!=null?e.maxValue:this.defaultMaxValue,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return P(()=>{let t=cw(e,this.axis),n=en(t,0,this.maxValue);return z(e,he(n,Y(Gt(),t)))})}getConfig(){return{maxValue:this.maxValue,axis:this.axis}}};dw.className="MaxNorm";ne.registerClass(dw);var hw=class extends Jc{constructor(e){super(),this.defaultAxis=0,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return P(()=>he(e,Y(Gt(),cw(e,this.axis))))}getConfig(){return{axis:this.axis}}};hw.className="UnitNorm";ne.registerClass(hw);var mw=class extends Jc{apply(e){return Xe(e)}};mw.className="NonNeg";ne.registerClass(mw);var fw=class extends Jc{constructor(e){super(),this.defaultMinValue=0,this.defaultMaxValue=1,this.defaultRate=1,this.defaultAxis=0,this.minValue=e.minValue!=null?e.minValue:this.defaultMinValue,this.maxValue=e.maxValue!=null?e.maxValue:this.defaultMaxValue,this.rate=e.rate!=null?e.rate:this.defaultRate,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return P(()=>{let t=cw(e,this.axis),n=Y(z(this.rate,en(t,this.minValue,this.maxValue)),z(1-this.rate,t));return z(e,he(n,Y(Gt(),t)))})}getConfig(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}}};fw.className="MinMaxNorm";ne.registerClass(fw);var Mk={maxNorm:"MaxNorm",minMaxNorm:"MinMaxNorm",nonNeg:"NonNeg",unitNorm:"UnitNorm"};function qt(e){return ew(e)}function Pk(e,t={}){return Kc(e,ne.SerializationMap.getMap().classNameMap,t,"constraint")}function Kt(e){if(e==null)return null;if(typeof e=="string"){let t={className:e in Mk?Mk[e]:e,config:{}};return Pk(t)}else return e instanceof Jc?e:Pk(e)}function wV(e){return new dw(e)}function kV(e){return new hw(e)}function IV(){return new mw}function SV(e){return new fw(e)}var xN={};Ae(xN,{constant:()=>CV,glorotNormal:()=>RV,glorotUniform:()=>DV,heNormal:()=>MV,heUniform:()=>PV,identity:()=>$V,leCunNormal:()=>OV,leCunUniform:()=>LV,ones:()=>NV,orthogonal:()=>zV,randomNormal:()=>EV,randomUniform:()=>_V,truncatedNormal:()=>AV,varianceScaling:()=>FV,zeros:()=>TV});function TV(){return new aw}function NV(){return new Af}function CV(e){return new rw(e)}function _V(e){return new sw(e)}function EV(e){return new iw(e)}function AV(e){return new ow(e)}function $V(e){return new lw(e)}function FV(e){return new Bn(e)}function DV(e){return new $f(e)}function RV(e){return new Ff(e)}function MV(e){return new Df(e)}function PV(e){return new Rf(e)}function OV(e){return new Mf(e)}function LV(e){return new Pf(e)}function zV(e){return new uw(e)}var vN={};Ae(vN,{Layer:()=>Ge,RNN:()=>mr,RNNCell:()=>ad,activation:()=>dG,add:()=>wG,alphaDropout:()=>rH,average:()=>kG,averagePooling1d:()=>T0,averagePooling2d:()=>N0,averagePooling3d:()=>C0,avgPool1d:()=>$G,avgPool2d:()=>DG,avgPool3d:()=>MG,avgPooling1d:()=>FG,avgPooling2d:()=>RG,avgPooling3d:()=>PG,batchNormalization:()=>_G,bidirectional:()=>YG,categoryEncoding:()=>lH,concatenate:()=>IG,conv1d:()=>aG,conv2d:()=>rG,conv2dTranspose:()=>sG,conv3d:()=>iG,conv3dTranspose:()=>oG,convLstm2d:()=>jG,convLstm2dCell:()=>qG,cropping2D:()=>uG,dense:()=>hG,depthwiseConv2d:()=>cG,dot:()=>CG,dropout:()=>mG,elu:()=>ZU,embedding:()=>vG,flatten:()=>gG,gaussianDropout:()=>aH,gaussianNoise:()=>nH,globalAveragePooling1d:()=>OG,globalAveragePooling2d:()=>LG,globalMaxPool1d:()=>JG,globalMaxPool2d:()=>QG,globalMaxPooling1d:()=>c2,globalMaxPooling2d:()=>d2,gru:()=>WG,gruCell:()=>BG,input:()=>LN,inputLayer:()=>YU,layerNormalization:()=>EG,leakyReLU:()=>QU,lstm:()=>VG,lstmCell:()=>UG,masking:()=>sH,maxPool1d:()=>eH,maxPool2d:()=>tH,maxPooling1d:()=>h2,maxPooling2d:()=>m2,maxPooling3d:()=>zG,maximum:()=>SG,minimum:()=>TG,multiply:()=>NG,permute:()=>xG,prelu:()=>eG,reLU:()=>JU,repeatVector:()=>bG,rescaling:()=>iH,reshape:()=>yG,resizing:()=>oH,rnn:()=>KG,separableConv2d:()=>lG,simpleRNN:()=>GG,simpleRNNCell:()=>HG,softmax:()=>tG,spatialDropout1d:()=>fG,stackedRNNCells:()=>XG,thresholdedReLU:()=>nG,timeDistributed:()=>ZG,upSampling2d:()=>pG,zeroPadding2d:()=>AG});async function Zr(e){if(e==null)return;let t=[],n=[],a=[];for(let r in e){let s=e[r];if(typeof s!="number"){let i=s;t.push(i.data()),n.push(r),a.push(i)}}if(t.length>0){let r=await Promise.all(t);for(let s=0;sY(this.totals[a],z(r,n)));this.totals[a]=i,s!=null&&s.dispose()}}}async onEpochEnd(e,t){if(t!=null)for(let n of this.params.metrics)this.totals[n]!=null&&(typeof this.totals[n]=="number"?t[n]=this.totals[n]/this.seen:P(()=>{let a=z(he(1,this.seen),this.totals[n]);t[n]=a,this.totals[n].dispose(),Jt(t[n])}))}},IN=class extends Sl{async onTrainBegin(e){this.epoch=[],this.history={}}async onEpochEnd(e,t){t==null&&(t={}),this.epoch.push(e);for(let n in t)this.history[n]==null&&(this.history[n]=[]),this.history[n].push(t[n])}async syncData(){let e=[],t=[],n=[];for(let r in this.history){let s=this.history[r];for(let i=0;inew SN(n,t))}var Ca=class{constructor(){}static registerCallbackConstructor(e,t){v.assert(e>=0&&Number.isInteger(e),()=>`Verbosity level is expected to be an integer >= 0, but got ${e}`),Ca.checkForDuplicate(t),Ca.constructors[e]==null&&(Ca.constructors[e]=[]),Ca.constructors[e].push(t)}static checkForDuplicate(e){for(let t in Ca.constructors)Ca.constructors[+t].forEach(n=>{if(n===e)throw new V("Duplicate callback constructor.")})}static clear(){Ca.constructors={}}static createCallbacks(e){let t=[];for(let n in Ca.constructors){let a=+n;e>=a&&t.push(...Ca.constructors[a])}return t.map(n=>new n)}};Ca.constructors={};function NN(e,t,n,a,r,s,i,o,l){let u=new IN,p=[new BV,...Ca.createCallbacks(t)];e!=null&&p.push(...e),p.push(u);let d=new kN(p);return d.setParams({epochs:n,initialEpoch:a,samples:r,steps:s,batchSize:i,verbose:t,doValidation:o,metrics:l}),{callbackList:d,history:u}}function Ua(e,t={},n=!1){return Kc(e,ne.SerializationMap.getMap().classNameMap,t,"layer",n)}function Gh(e,t){return P(()=>{e.dtype!=="float32"&&(e=oe(e,"float32"));let n=fe(Yc(e),t,!0),a=gn(n.shape,Gt()),r=un(dr(n,a));return he(e,r)})}function xo(e,t){return P(()=>Nt(Yc(pe(t,e)),-1))}function Lf(e,t){return P(()=>Nt(Lt(pe(t,e)),-1))}function ju(e,t){return P(()=>{let n=pe(e,t),a=en(Lt(e),Gt(),Number.MAX_VALUE),r=Lt(he(n,a));return z(100,Nt(r,-1))})}function VV(e,t){return P(()=>{let n=en(t,Gt(),Number.MAX_VALUE),a=ta(Y(1,n)),r=en(e,Gt(),Number.MAX_VALUE),s=ta(Y(1,r));return Nt(Yc(pe(a,s)),-1)})}function UV(e,t){return P(()=>{let n=dr(0,pe(1,z(e,t)));return Nt(Yc(n),-1)})}function GV(e,t){return P(()=>{let n=dr(0,pe(1,z(e,t)));return Nt(n,-1)})}function HV(e,t){return P(()=>{let n=fe(z(e,t),-1),a=ma(z(pe(1,e),t),-1);return dr(0,Y(1,pe(a,n)))})}function jV(e,t){return P(()=>{let n=Math.log(2),a=pe(t,e),r=pe(Y(a,mo(z(-2,a))),n);return Nt(r,-1)})}function tc(e,t,n=!1){return P(()=>{if(n)t=Ka(t);else{let a=fe(t,t.shape.length-1,!0);t=he(t,a)}return t=en(t,Gt(),1-Gt()),vt(fe(z(oe(e,"float32"),ta(t)),t.shape.length-1))})}function Hh(e,t,n=!1){return P(()=>{let a=oe(Wu(eV(e)),"int32");t=en(t,Gt(),1-Gt());let r=t.shape,s=W(gl(a,r[r.length-1]),r);return tc(s,t,n)})}function qV(e,t){if(!v.arraysEqual(e.shape,t.shape))throw new V(`logits and labels must have the same shape, but got shapes ${JSON.stringify(e.shape)} and ${JSON.stringify(t.shape)}`);return P(()=>{let n=Xe(t),a=vt(Lt(t));return Y(pe(n,z(t,e)),zc(fn(a)))})}function zf(e,t){return P(()=>{let n;return n=en(t,Gt(),1-Gt()),n=ta(he(n,pe(1,n))),Nt(qV(e,n),-1)})}function KV(e,t){return P(()=>{let n=en(e,Gt(),1),a=en(t,Gt(),1);return fe(z(e,ta(he(n,a))),-1)})}function XV(e,t){return P(()=>{let n=ta(Y(Gt(),t));return Nt(pe(t,z(e,n)),-1)})}function gw(e,t){return P(()=>{let n=Gh(e,-1),a=Gh(t,-1),r=z(n,a);return vt(fe(r,-1))})}var jh={meanSquaredError:xo,meanAbsoluteError:Lf,meanAbsolutePercentageError:ju,meanSquaredLogarithmicError:VV,squaredHinge:UV,hinge:GV,categoricalHinge:HV,logcosh:jV,categoricalCrossentropy:tc,sparseCategoricalCrossentropy:Hh,binaryCrossentropy:zf,kullbackLeiblerDivergence:KV,poisson:XV,cosineProximity:gw};function vy(e){if(typeof e=="string"){if(e in jh)return jh[e];let t=`Unknown loss ${e}`;throw e.toLowerCase().includes("softmaxcrossentropy")&&(t=`Unknown loss ${e}. Use "categoricalCrossentropy" as the string name for tf.losses.softmaxCrossEntropy`),new V(t)}else return e}function bw(e,t){return P(()=>{let n=z(.5,na(t)),a=yo(Cn(t,n),e.dtype);return Nt(ea(e,a),-1)})}function yw(e,t){return P(()=>yo(ea(ri(e,-1),ri(t,-1)),"float32"))}function CN(e,t){return P(()=>oe(fe($a(ea(e,1),ea(t,1))),"float32"))}function YV(e,t){return P(()=>oe(fe($a(ea(e,1),ea(t,0))),"float32"))}function ZV(e,t){return P(()=>oe(fe($a(ea(e,0),ea(t,1))),"float32"))}function _N(e,t){return P(()=>{let n=CN(e,t),a=ZV(e,t),r=Y(n,a);return oe(mn(Cn(r,0),he(n,r),0),"float32")})}function JV(e,t){return P(()=>{let n=CN(e,t),a=YV(e,t),r=Y(n,a);return oe(mn(Cn(r,0),he(n,r),0),"float32")})}function EN(e,t){return zf(e,t)}function AN(e,t){return e.rank===t.rank&&(e=Ns(e,[e.rank-1])),t=ri(t,-1),t.dtype!==e.dtype&&(t=oe(t,e.dtype)),oe(ea(e,t),"float32")}var QV=xo,eU=xo,tU=Lf,nU=Lf,aU=ju,rU=ju,xw=tc,sU=gw,$N=Hh,qh={binaryAccuracy:bw,categoricalAccuracy:yw,precision:_N,categoricalCrossentropy:xw,sparseCategoricalCrossentropy:$N,mse:QV,MSE:eU,mae:tU,MAE:nU,mape:aU,MAPE:rU,cosine:sU};function iU(e){if(typeof e=="string"&&e in qh)return qh[e];if(typeof e!="string"&&e!=null)return e;throw new V(`Unknown metric ${e}`)}function ph(e){if(ar(e!==null,`Unknown LossOrMetricFn ${e}`),typeof e=="string")return e;{let t;for(let n of Object.keys(jh))if(jh[n]===e){t=n;break}if(t!==void 0)return t;for(let n of Object.keys(qh))if(qh[n]===e){t=n;break}return t!==void 0?t:e.name}}function oU(e){let t={Adagrad:()=>Ws.adagrad(.01),Adadelta:()=>Ws.adadelta(1,.95,Gt()),Adam:()=>Ws.adam(.001,.9,.999,Gt()),Adamax:()=>Ws.adamax(.002,.9,.999,Gt(),0),RMSProp:()=>Ws.rmsprop(.001,.9,0,Gt()),SGD:()=>Ws.sgd(.01)};if(t.adagrad=t.Adagrad,t.adadelta=t.Adadelta,t.adam=t.Adam,t.adamax=t.Adamax,t.rmsprop=t.RMSProp,t.sgd=t.SGD,e in t)return t[e]();throw new V(`Unknown Optimizer ${e}`)}function Lk(e,t,n=!1){if(e==null||typeof e!="object"||Object.getPrototypeOf(e)!==Object.prototype||!Ky(e))throw new Error("User-defined metadata is expected to be a JSON object, but is not.");if(n){let a=JSON.stringify(e);a.length>1048576&&console.warn(`User-defined metadata of model "${t}" is too large in size (length=${a.length} when serialized). It is not recommended to store such large objects in user-defined metadata. Please make sure its serialized length is <= ${1048576}.`)}}function Ky(e){if(e===null)return!0;if(typeof e=="object")if(Object.getPrototypeOf(e)===Object.prototype){let t=Object.keys(e);for(let n of t)if(typeof n!="string"||!Ky(e[n]))return!1;return!0}else if(Array.isArray(e)){for(let t of e)if(!Ky(t))return!1;return!0}else return!1;else{let t=typeof e;return t==="string"||t==="number"||t==="boolean"}}function lU(e,t,n,a=console.log){let r=pU(e),s=["Layer (type)","Input Shape","Output shape","Param #"];r?(t=t||90,n=n||[.32,.61,.89,1]):(t=t||115,n=n||[.24,.48,.7,.8,1]),n[n.length-1]<=1&&(n=n.map(p=>Math.floor(t*p)));let i;if(!r){s.push("Receives inputs"),i=[];for(let p in e.nodesByDepth)i.push(...e.nodesByDepth[p])}a("_".repeat(t)),Kh(s,n,a),a("=".repeat(t));let o=e.layers;for(let p=0;p1||r.length===1&&r[0].inboundLayers.length>1){t=!1;break}a.push(...r)}if(t)for(let r of e.layers){let s=!1;for(let i of r.inboundNodes)if(a.indexOf(i)!==-1)if(s){t=!1;break}else s=!0;if(!t)break}return t}function Kh(e,t,n=console.log){let a="";for(let r=0;r0&&(a=a.slice(0,a.length-1)+" "),a+=e[r],a=a.slice(0,t[r]),a+=" ".repeat(t[r]-a.length);n(a)}function cU(e,t,n){let a,r;try{r=e.inboundNodes.map(l=>JSON.stringify(l.inputShapes)).join(",")}catch(l){r="multiple"}try{a=JSON.stringify(e.outputShape)}catch(l){a="multiple"}let s=e.name,i=e.getClassName(),o=[`${s} (${i})`,r,a,e.countParams().toString()];Kh(o,t,n)}function dU(e,t,n,a){let r,s;try{s=e.inboundNodes.map(d=>JSON.stringify(d.inputShapes)).join(",")}catch(d){s="multiple"}try{r=JSON.stringify(e.outputShape)}catch(d){r="multiple"}let i=[];for(let d of e.inboundNodes)if(!(n!=null&&n.length>0&&n.indexOf(d)===-1))for(let c=0;cb.name)}`);as(this.outputs).length!==this.outputs.length&&console.warn(`The list of outputs passed to the model is redundant. All outputs should only appear once. Found: ${this.outputs.map(b=>b.name)}`),this.inputLayers=[],this.inputLayersNodeIndices=[],this.inputLayersTensorIndices=[],this.outputLayers=[],this.outputLayersNodeIndices=[],this.outputLayersTensorIndices=[],this.layers=[],this.internalContainerRefs=[];for(let b of this.outputs){let y=b.sourceLayer,x=b.nodeIndex,w=b.tensorIndex;this.outputLayers.push(y),this.outputLayersNodeIndices.push(x),this.outputLayersTensorIndices.push(w)}for(let b of this.inputs){let y=b.sourceLayer,x=b.nodeIndex,w=b.tensorIndex;ar(x===0,"input layer has >1 nodes"),ar(w===0,"input layer has >1 tensors"),this.inputLayers.push(y),this.inputLayersNodeIndices.push(x),this.inputLayersTensorIndices.push(w)}this.inputNames=[],this.outputNames=[],this.feedInputShapes=[],this.feedInputNames=[],this.feedOutputNames=[];for(let b=0;bb.shape),this.internalOutputShapes=this.outputs.map(b=>b.shape);let t={},n={},a={},r={},s={},i=[],o=(b,y,x,w,I,T)=>{(w==null||I==null||T==null)&&(w=b.sourceLayer,I=b.nodeIndex,T=b.tensorIndex);let C=w.inboundNodes[I];if(x.indexOf(C)!==-1)throw new Wa(`The tensor ${b.name} at layer "${w.name}" is part of a cycle.`);if(y.indexOf(C)!==-1)return;this.containerNodes.add(tr.nodeKey(w,I)),w.id in s||(s[w.id]=Object.keys(s).length),x.indexOf(C)===-1&&x.push(C);let E=C.inboundLayers.length;for(let A=0;A=0;)x.splice(x.indexOf(C),1);i.push(C)},l=[],u=[];for(let b of this.outputs)o(b,l,u);let p=i.slice().reverse();for(let b of p){n[b.id]=b,b.id in t||(t[b.id]=0);let y=t[b.id],x=a[b.outboundLayer.id]==null?0:a[b.outboundLayer.id];y=Math.max(y,x),a[b.outboundLayer.id]=y,r[b.outboundLayer.id]=b.outboundLayer,t[b.id]=y;for(let w=0;wparseInt(b,10)).sort(oh);this.layers=[];for(let b of h){let y=c[b];y.sort((x,w)=>{let I=s[x.id],T=s[w.id];return IT?1:0});for(let x of y)x instanceof tr&&this.internalContainerRefs.push(x),this.layers.push(x)}this.layersByDepth=c,h=Object.keys(d).map(b=>parseInt(b,10)).sort(oh);let m=this.inputs.slice(),f=[];for(let b of h)for(let y of d[b]){let x=y.outboundLayer;if(x!=null){for(let w of y.inputTensors)if(m.indexOf(w)===-1)throw new Wa(`Graph disconnected: cannot obtain value for tensor ${w} at layer "${x.name}". The following previous layers were accessed without issue: ${f}`);for(let w of y.outputTensors)m.push(w);f.push(x.name)}}this.nodesByDepth=d;let g=this.layers.map(b=>b.name);for(let b of g){let y=g.filter(x=>x===b).length;if(y!==1)throw new Wa(`The name "${b}" is used ${y} times in the model. All layer names should be unique. Layer names: `+JSON.stringify(g))}this.outboundNodes=[],this.inboundNodes=[],new Of({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:this.inputs.map(b=>null),outputMasks:this.outputs.map(b=>null),inputShapes:this.inputs.map(b=>b.shape),outputShapes:this.outputs.map(b=>b.shape)}),this.built=!0,this._refCount=1}assertNotDisposed(){if(this._refCount===0)throw new Error(`Container '${this.name}' is already disposed.`)}dispose(){this.assertNotDisposed();let e={refCountAfterDispose:null,numDisposedVariables:0};if(--this._refCount===0){for(let t of this.layers)e.numDisposedVariables+=t.dispose().numDisposedVariables;for(let t of this.internalContainerRefs)e.numDisposedVariables+=t.dispose().numDisposedVariables}return e.refCountAfterDispose=this._refCount,e}get trainable(){return this.trainable_}set trainable(e){this.layers.forEach(t=>{t._trainableWeights.forEach(n=>n.trainable=e)}),this.trainable_=e}get trainableWeights(){if(this._trainableWeights.length>0)throw new V("Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];let e=[];for(let t of this.layers)e=e.concat(t.trainableWeights);return e}get nonTrainableWeights(){let e=[];for(let t of this.layers)e.push(...t.nonTrainableWeights);if(!this.trainable){let t=[];for(let n of this.layers)t.push(...n.trainableWeights);return t.concat(e)}return e}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}loadWeights(e,t=!0){let n={},a=0;for(let s of this.layers)for(let i of s.weights){if(n[i.originalName]!=null)throw new V(`Duplicate weight name: ${i.originalName}`);n[i.originalName]=i,a++}let r=[];for(let s in e){let i=s;if(n[s]==null){let o=s.split("/");i=o.slice(0,-2).concat([o[o.length-1]]).join("/")}if(n[i]!=null)r.push([n[i],e[s]]);else if(t)throw new V(`Provided weight data has no target variable: ${s}`);delete n[i]}if(t){let s=[];for(let i in n)s.push(i);if(s.length>0)throw new V(`${s.length} of ${a} weights are not set: ${s}`)}pw(r)}updatedConfig(){let e=this.getConfig(),t={};return t.className=this.getClassName(),t.config=e,t.kerasVersion=`tfjs-layers ${vw}`,t.backend="TensorFlow.js",t}toJSON(e,t=!0){let n=Xy(this.updatedConfig());return t?JSON.stringify(n):n}call(e,t){return P(()=>{e=xt(e);let n=new js;for(let a=0;a{e=xt(e);let n;return t==null?n=li(null,e.length):n=xt(t),this.runInternalGraph(e,n)[1]})}computeOutputShape(e){let t=Wh(e);if(t.length!==this.inputLayers.length)throw new V(`Invalid inputShape argument ${e}: model has ${this.inputLayers.length} tensor inputs.`);let n={};for(let i=0;iparseInt(i,10)).sort(oh);if(a.length>1)for(let i of a){let o=this.nodesByDepth[i];for(let l of o){let u=l.outboundLayer;if(this.inputLayers.map(m=>m.id).indexOf(u.id)!==-1)continue;let p=[];for(let m=0;mparseInt(o,10)).sort(oh);for(let o of a){let l=this.nodesByDepth[o];for(let u of l){let p=u.outboundLayer,d=u.inputTensors,c=u.outputTensors,h=new Array;for(let m of d)m.id in n&&h.push(n[m.id]);if(h.length===d.length){let m={},f,g,b,y;if(u.callArgs!=null&&(m=u.callArgs),h.length===1){let[x,w]=h[0];m.mask==null&&(m.mask=w),b=xt(p.call(x,m)),y=xt(p.computeMask(x,w)),f=[x],g=[w]}else f=h.map(x=>x[0]),g=h.map(x=>x[1]),m.mask==null&&(m.mask=g),b=xt(p.call(f,m)),y=xt(p.computeMask(f,g));if(p.activityRegularizer)throw new Me("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(let x=0;x{let e=[];for(let t of this.layers)for(let n=0;n0){let m=[];for(let f=0;f0&&f.apply(On(b),y)}function l(f){let g=f.name,b=Ua(f,t.customObjects!=null?t.customObjects:{});b.setFastWeightInitDuringBuild(a),r[g]=b,f.inboundNodes.forEach(y=>{if(!(y instanceof Array))throw new V(`Corrupted configuration, expected array for nodeData: ${y}`);i(b,y)})}let u=t.name,p=t.layers;for(let f of p)l(f);for(;!B4(s);)for(let f of p){let g=r[f.name];if(g.name in s){let b=s[g.name];delete s[g.name];for(let y of b)o(g,y)}}let d=[],c=[],h=t.inputLayers;for(let f of h){let g=f[0],b=f[1],y=f[2];ar(g in r);let x=r[g].inboundNodes[b].outputTensors;d.push(x[y])}let m=t.outputLayers;for(let f of m){let g=f[0],b=f[1],y=f[2];ar(g in r);let x=r[g].inboundNodes[b].outputTensors;c.push(x[y])}return new e({inputs:d,outputs:c,name:u})}get stateful(){if(this._stateful)throw new V("Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");for(let e of this.layers)if(e.stateful)return!0;return!1}resetStates(){P(()=>{this.layers.forEach(e=>{e.stateful&&e.resetStates()})})}};function hU(e,t,n){let a=t.length;if(e==null||Array.isArray(e)&&e.length===0)return t.map(r=>null);if(a===1)return Array.isArray(e)&&e.length===1?e:typeof e=="object"&&t[0]in e?[e[t[0]]]:[e];if(Array.isArray(e)){if(e.length!==a)throw new Error(`Provided ${n} is an array of ${e.length} element(s), but the model has ${a} outputs. Make sure a set of weights is provided for each model output.`);return e}else if(typeof e=="object"&&Object.keys(e).length>0&&typeof e[Object.keys(e)[0]]=="object"){let r=[];return t.forEach(s=>{s in e?r.push(e[s]):r.push(null)}),r}else throw new Error(`The model has multiple (${a}) outputs, so ${n} must be either an array with ${a} elements or an object with ${t} keys. Provided ${n} not understood: ${JSON.stringify(e)}`)}function DN(e,t){return hU(e,t,"classWeight")}async function RN(e,t,n,a){if(t!=null||a!=null)throw new Error("Support sampleWeight is not implemented yet");if(n!=null){let r=P(()=>{if(e.shape.length===1)return ir(e);if(e.shape.length===2){if(e.shape[1]>1)return ri(e,1);if(e.shape[1]===1)return W(e,[e.shape[0]]);throw new Error(`Encountered unexpected last-dimension size (${e.shape[1]}) during handling of class weights. The size is expected to be >= 1.`)}else throw new Error(`Unexpected rank of target (y) tensor (${e.rank}) during handling of class weights. The rank is expected to be 1 or 2.`)}),s=Array.from(await r.data());_e(r);let i=[];return s.forEach(o=>{if(n[o]==null)throw new Error(`classWeight must contain all classes in the training data. The class ${o} exists in the data but not in classWeight`);i.push(n[o])}),Ke(i,"float32")}else return null}function mU(e,t){return z(e,t)}var fU=32;function MN(e,t){let n,a,r=t;n=r.xs,a=r.ys,v.assert(n!=null&&a!=null,()=>`A Dataset iterator for fitDataset() is expected to generate objects of the form \`{xs: xVal, ys: yVal}\`, where the two values may be \`tf.Tensor\`, an array of Tensors, or a map of string to Tensor. The provided Dataset instead generates ${t}`);let s=zk("input",e.inputNames,n),i=zk("output",e.outputNames,a),o=s[0].shape[0];v.assert(s.length===e.inputs.length,()=>`LayersModel has ${e.inputs.length} inputs, but the dataset provides ${s.length} inputs. (Expected input keys: ${JSON.stringify(e.inputNames)})`),v.assert(i.length===e.outputs.length,()=>`LayersModel has ${e.outputs.length} outputs, but the dataset provides ${i.length} outputs. (Expected output keys: ${JSON.stringify(e.outputNames)})`);for(let l=0;l`Batch size mismatch: input ${e.inputNames[l]} has ${s[l].shape[0]}; expected ${o} based on input ${e.inputNames[0]}.`);for(let l=0;l`Batch size mismatch: output ${e.outputNames[l]} has ${i[l].shape[0]}; expected ${o} based on input ${e.inputNames[0]}.`);return{xs:s,ys:i}}function zk(e,t,n){if(n instanceof Te)return[n];if(Array.isArray(n))return v.assert(n.length===t.length,()=>`Received an array of ${n.length} Tensors, but expected ${t.length} to match the ${e} keys ${t}.`),n;{let a=[];for(let r of t){if(n[r]==null)throw new V(`The feature data generated by the dataset lacks the required ${e} key '${r}'.`);a.push(n[r])}return a}}function gU(e){if(e.length===3)throw new Me("Validation with sample weights is not implemented yet.");return{xs:e[0],ys:e[1]}}async function bU(e,t,n){let a=n.batchesPerEpoch!=null;if(v.assert(e.optimizer!=null,()=>"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig)."),v.assert(n!=null,()=>"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."),v.assert(n.epochs!=null&&n.epochs>0&&Number.isInteger(n.epochs),()=>`For fitDataset(), config.epochs is expected to be a positive integer, but got ${n.epochs}`),v.assert(!a||n.batchesPerEpoch>0&&Number.isInteger(n.batchesPerEpoch),()=>`For fitDataset(), config.batchesPerEpoch is expected to be a positive integer if specified, but got ${n.batchesPerEpoch}`),v.assert(n.validationSplit==null,()=>"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."),e.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");e.isTraining=!0;try{let r=n.validationData!=null,s,i;if(r)if(Wk(n.validationData))v.assert(n.validationBatches==null||n.validationBatches>0&&Number.isInteger(n.validationBatches),()=>`For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, but got ${n.validationBatches}`);else{let g=gU(n.validationData);s=g.xs,i=g.ys}let o=e.makeTrainFunction(),l=e.getDedupedMetricsNames(),u;r?u=l.slice().concat(l.map(g=>"val_"+g)):u=l.slice();let p=TN(n.callbacks,n.yieldEvery),d=n.verbose==null?1:n.verbose,{callbackList:c,history:h}=NN(p,d,n.epochs,null,null,yU(t,n),null,r,u);c.setModel(e),e.history=h,await c.onTrainBegin(),e.stopTraining_=!1;let m=n.initialEpoch==null?0:n.initialEpoch,f=await t.iterator();for(;m=n.batchesPerEpoch:x.done){if(r){let w;Wk(n.validationData)?w=xt(await e.evaluateDataset(n.validationData,{batches:n.validationBatches})):w=xt(e.evaluate(s,i,{batchSize:n.validationBatchSize==null?fU:n.validationBatchSize,verbose:0}));for(let I=0;I0)throw new Me("Verbose mode is not implemented yet.");v.assert(!a||n.batches>0&&Number.isInteger(n.batches),()=>`Test loop expects \`batches\` to be a positive integer, but received ${JSON.stringify(n.batches)}`);let i=xU(t)?t:await t.iterator(),o=0,l=0;for(;!a||l{if(u.value){let{xs:p,ys:d}=MN(e,u.value),c=p.concat(d),h=P(()=>r(c));if(_e(c),l===0)for(let f=0;fY(s[f],z(m,g))),l>0&&_e(b)}_e(h),o+=m,++l}return s}),u.done){a&&console.warn(`Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least \`batches\` batches (in this case, ${n.batches} batches). You may need to use the repeat() function when building your dataset.`);break}}for(let u=0;u0&&Number.isInteger(e),()=>`batchSize is required to be a positive integer, but got ${e}`)}function Pp(e,t,n){return e==null?[null]:Array.isArray(e)?e.map(a=>Zs(a,t,n-t)):Zs(e,t,n-t)}function ww(e,t){return P(()=>e==null?null:Array.isArray(e)?e.map(n=>ww(n,t)):hN(e,t.dtype==="int32"?t:oe(t,"int32")))}function Zy(e,t){let n=[],a=0,r=null;for(;a=e&&(r=e),n.push([a,r]),a=r;return n}async function wU(e,t,n,a,r,s,i,o,l,u,p,d,c,h,m){r==null&&(r=32),s==null&&(s=1),p==null&&(p=!0),c==null&&(c=0);let f=!1;if(l!=null&&u!=null&&(f=!0),m!=null&&(f=!0,h==null))throw new V("Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.");let g=e.checkNumSamples(n,r,h,"steps_per_epoch"),b;g!=null&&(b=Ha(0,g)),i==null&&(i=1);let{callbackList:y,history:x}=NN(o,i,s,c,g,h,r,f,d);y.setModel(e),e.history=x,await y.onTrainBegin(),e.stopTraining_=!1;for(let w=c;w{let R=C[E][0],F=C[E][1],S=Zs(T,R,F-R);A.batch=E,A.size=F-R;let M=ww(n,S),B=t(M);for(let U=0;U0){if(g=!0,a.validationData.length===2)l=a.validationData[0],u=a.validationData[1];else throw a.validationData.length===3?new Me("validationData including sample weights is not supported yet."):new V(`When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; ${a.validationData} is invalid.`);let E=!0,A=await e.standardizeUserData(l,u,null,null,E,h);p=A[0],d=A[1],b=p.concat(d)}else if(a.validationSplit!=null&&a.validationSplit>0&&a.validationSplit<1){g=!0;let E=Math.floor(r[0].shape[0]*(1-a.validationSplit)),A=r[0].shape[0];p=Pp(r,E,A),i=r,r=Pp(r,0,E),d=Pp(s,E,A),o=s,s=Pp(s,0,E),b=p.concat(d)}else a.validationSteps!=null&&(g=!0);let y=r.concat(s).concat(c);e.checkTrainableWeightsConsistency();let x=e.makeTrainFunction(),w=e.getDedupedMetricsNames(),I,T;g?(e.makeTestFunction(),I=e.testFunction,T=w.slice().concat(w.map(E=>"val_"+E))):(I=null,b=[],T=w.slice());let C=TN(a.callbacks,a.yieldEvery);return await wU(e,x,y,w,h,a.epochs,a.verbose,C,I,b,a.shuffle,T,a.initialEpoch,null,null)}finally{e.isTraining=!1,La(r,t),La(s,n),La(i,t),La(o,n),La(p,l),La(d,u),c!=null&&_e(c)}}function PN(e){let t=[];e instanceof Te&&(e=[e]);for(let n=0;nn.push(r.id));else if(t!=null)for(let r in t){let s=t[r];n.push(s.id)}let a=[];if(e instanceof Te)n.indexOf(e.id)===-1&&a.push(e);else if(Array.isArray(e))e.forEach(r=>{n.indexOf(r.id)===-1&&a.push(r)});else if(e!=null)for(let r in e){let s=e[r];n.indexOf(s.id)===-1&&a.push(s)}a.forEach(r=>{r.isDisposed||r.dispose()})}function IU(e){return e instanceof Te}function Jy(e){return Array.isArray(e)}function Bk(e){return!IU(e)&&!Jy(e)}function Vk(e,t,n,a=!0,r=""){if(t==null||t.length===0){if(e!=null){let i=!1;if(Jy(e)&&e.length>0)i=!0;else if(Bk(e)){for(let o in e)if(e.hasOwnProperty(o)){i=!0;break}}else i=!0;if(i)throw new V(`Error when checking model ${r} expected no data, but got ${e}`)}return[]}if(e==null)return t.map(i=>null);let s;if(Bk(e)){e=e,s=[];for(let i of t){if(e[i]==null)throw new V(`No data provided for "${i}". Need data for each key in: ${t}`);s.push(e[i])}}else if(Jy(e)){if(e=e,e.length!==t.length)throw new V(`Error when checking model ${r}: the Array of Tensors that you are passing to your model is not the size the model expected. Expected to see ${t.length} Tensor(s), but instead got the following list of Tensor(s): ${e}`);s=e}else{if(e=e,t.length>1)throw new V(`The model ${r} expects ${t.length} Tensor(s), but only received one Tensor. Found: Tensor with shape ${e.shape}`);s=[e]}if(s=PN(s),n!=null)for(let i=0;i=0&&u!==p)throw new V(`${r} expected a batch of elements where each example has shape [${n[i].slice(1,n[i].length)}] (i.e.,tensor shape [*,${n[i].slice(1,n[i].length)}]) but the ${r} received an input with ${o.shape[0]} examples, each with shape [${o.shape.slice(1,o.shape.length)}] (tensor shape [${o.shape}])`)}}return s}function SU(e,t,n){let a=as(e.map(s=>s.shape[0]));a.sort();let r=as(t.map(s=>s.shape[0]));if(r.sort(),a.length>1)throw new V(`All input Tensors (x) should have the same number of samples. Got array shapes: ${JSON.stringify(e.map(s=>s.shape))}`);if(r.length>1)throw new V(`All target Tensors (y) should have the same number of samples. Got array shapes: ${JSON.stringify(t.map(s=>s.shape))}`);if(a.length>0&&r.length>0&&!v.arraysEqual(a,r))throw new V(`Input Tensors should have the same number of samples as target Tensors. Found ${a[0]} input sample(s) and ${r[0]} target sample(s).`)}function TU(e,t,n){let a=[xo,zf,tc];for(let r=0;r1)throw new V(`The model expects ${t.length} ${r} Tensors, but only received one Tensor. Found: array with shape ${JSON.stringify(e.shape)}.`);s=[e]}if(n!=null)for(let i=0;i[]);let n;if(typeof e=="string"||typeof e=="function")n=[e];else if(Array.isArray(e)||typeof e=="object")n=e;else throw new TypeError(`Type of metrics argument not understood. Expected an string,function, Array, or Object, found: ${e}`);if(Array.isArray(n))return t.map(a=>n);{let a=[];for(let r of t){let s=n.hasOwnProperty(r)?n[r]:[];Array.isArray(s)||(s=[s]),a.push(s)}return a}}var CU="layers-model",Er=class extends tr{constructor(e){super(e),this.isTraining=!1}summary(e,t,n=console.log){if(!this.built)throw new V("This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).");lU(this,e,t,n)}compile(e){if(e.loss==null&&(e.loss=[]),this.loss=e.loss,typeof e.optimizer=="string")this.optimizer_=oU(e.optimizer),this.isOptimizerOwned=!0;else{if(!(e.optimizer instanceof Rr))throw new V("User-defined optimizer must be an instance of tf.Optimizer.");this.optimizer_=e.optimizer,this.isOptimizerOwned=!1}let t=[];if(!Array.isArray(e.loss)&&typeof e.loss!="string"&&typeof e.loss!="function"){e.loss=e.loss;for(let s in e.loss)if(this.outputNames.indexOf(s)===-1)throw new V(`Unknown entry in loss dictionary: "${s}". Only expected the following keys: ${this.outputNames}`);for(let s of this.outputNames)e.loss[s]==null&&console.warn(`Output "${s}" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data to be passed to ${s} during training`),t.push(vy(e.loss[s]))}else if(Array.isArray(e.loss)){if(e.loss.length!==this.outputs.length)throw new V(`When passing an Array as loss, it should have one entry per model output. The model has ${this.outputs.length} output(s), but you passed loss=${e.loss}.`);t=e.loss.map(s=>vy(s))}else{let s=vy(e.loss);this.outputs.forEach(i=>{t.push(s)})}this.lossFunctions=t,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(let s=0;s{for(let s=0;s1&&(this.metricsTensors.push([i,s]),this.metricsNames.push(this.outputNames[s]+"_loss"))}});let a=NU(e.metrics,this.outputNames),r=(s,i,o)=>{this.outputNames.length>1&&(i=this.outputNames[s]+"_"+i),this.metricsNames.push(i),this.metricsTensors.push([o,s])};Ys("metric",()=>{for(let s=0;s{let l="",u,p,d;for(let c of o){if(typeof c=="string"&&["accuracy","acc","crossentropy","ce"].indexOf(c)!==-1){let m=this.internalOutputShapes[s];m[m.length-1]===1||this.lossFunctions[s]===zf?["accuracy","acc"].indexOf(c)!==-1?p=bw:["crossentropy","ce"].indexOf(c)!==-1&&(p=EN):this.lossFunctions[s]===Hh?["accuracy","acc"].indexOf(c)!==-1?p=AN:["crossentropy","ce"].indexOf(c)!==-1&&(p=$N):["accuracy","acc"].indexOf(c)!==-1?p=yw:["crossentropy","ce"].indexOf(c)!==-1&&(p=xw);let f;["accuracy","acc"].indexOf(c)!==-1?f="acc":["crossentropy","ce"].indexOf(c)!==-1&&(f="ce"),d=p,u=l+f}else d=iU(c),u=l+ph(c);let h;Ys(u,()=>{h=d}),r(s,u,h)}})(i)}}),this.collectedTrainableWeights=this.trainableWeights}checkTrainableWeightsConsistency(){this.collectedTrainableWeights!=null&&this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn("Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?")}evaluate(e,t,n={}){let a=n.batchSize==null?32:n.batchSize;Yy(a);let r=!0,s=this.standardizeUserDataXY(e,t,r,a);try{let i=s[0].concat(s[1]);this.makeTestFunction();let o=this.testFunction,l=this.testLoop(o,i,a,n.verbose,n.steps);return On(l)}finally{La(s[0],e),La(s[1],t)}}async evaluateDataset(e,t){return this.makeTestFunction(),vU(this,e,t)}checkNumSamples(e,t,n,a="steps"){let r;if(n!=null){if(r=null,t!=null)throw new V(`If ${a} is set, batchSize must be null or undefined.Got batchSize = ${t}`)}else if(e!=null)Array.isArray(e)?r=e[0].shape[0]:r=e.shape[0];else throw new V(`Either the input data should have a defined shape, or ${a} shoud be specified.`);return r}execute(e,t){if(Array.isArray(t)&&t.length===0)throw new V("`outputs` is an empty Array, which is not allowed.");let n=Array.isArray(t),a=n?t:[t],r=this.retrieveSymbolicTensors(a),s=new js;if(e instanceof Te&&(e=[e]),Array.isArray(e)){if(e.length!==this.inputs.length)throw new V(`The number of inputs provided (${e.length}) does not match the number of inputs of this model (${this.inputs.length}).`);for(let o=0;oi.name);for(let i=0;i0){let a=[];throw t.forEach((r,s)=>{r==null&&a.push(e[s])}),new V(`Cannot find SymbolicTensors for output name(s): ${JSON.stringify(a)}`)}return t}predictLoop(e,t=32,n=!1){return P(()=>{let a=this.checkNumSamples(e);if(n)throw new Me("Verbose predictLoop() is not implemented yet.");let r=Zy(a,t),s=this.outputs.map(i=>[]);for(let i=0;i{let o=r[i][0],l=r[i][1],u=Pp(e,o,l),p=[];if(Array.isArray(u))for(let c=0;cs[l].push(o));return On(s.map(i=>Ze(i,0)))})}predict(e,t={}){let n=PN(e);Uk(n,this.inputNames,this.feedInputShapes,!1);try{let a=t.batchSize==null?32:t.batchSize;return Yy(a),this.predictLoop(n,a)}finally{La(n,e)}}predictOnBatch(e){Uk(e,this.inputNames,this.feedInputShapes,!0);let t=(Array.isArray(e)?e[0]:e).shape[0];return this.predictLoop(e,t)}standardizeUserDataXY(e,t,n=!0,a){if(this.optimizer_==null)throw new Wa("You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).");let r=[];for(let s=0;s0&&e[0].shape[0]%a!==0)throw new V(`In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size ${a}. Found: ${e[0].shape[0]} sample(s).`);return[e,t]}async standardizeUserData(e,t,n,a,r=!0,s){let[i,o]=this.standardizeUserDataXY(e,t,r,s);if(n!=null)throw new Error("sample weight is not supported yet.");let l=null;if(a!=null){let u=DN(a,this.outputNames);l=[];for(let p=0;p{let s=this.checkNumSamples(t,n,r,"steps"),i=[];if(a>0)throw new Me("Verbose mode is not implemented yet.");if(r!=null)throw new Me("steps mode in testLoop() is not implemented yet");{let o=Zy(s,n),l=Ke(Ha(0,s));for(let u=0;u1&&(r+=`_${_k(e.slice(0,n),a)}`),t.push(r)}return t}makeTrainFunction(){return e=>{let t=[],n=e.slice(0,this.inputs.length),a=e.slice(this.inputs.length,this.inputs.length+this.outputs.length),r=e.slice(this.inputs.length+this.outputs.length,this.inputs.length+this.outputs.length*2),s=[],i=()=>{let u=[];for(let h=0;h1&&h{c=Y(c,h)}),c},o=this.collectedTrainableWeights.map(u=>u.read()),l=!0;return[this.optimizer_.minimize(i,l,o)].concat(s)}}makeTestFunction(){this.testFunction=e=>P(()=>{let t=[],n,a=e.slice(0,this.inputs.length),r=e.slice(this.inputs.length,this.inputs.length+this.outputs.length),s=[];for(let l=0;lSr(t))}else{let t=Object.keys(this.loss);e={};let n=this.loss;for(let a of t)if(typeof n[a]=="string")e[a]=Sr(n[a]);else throw new Error("Serialization of non-string loss is not supported.")}return e}getMetricIdentifiers(){if(typeof this.metrics=="string"||typeof this.metrics=="function")return[Sr(ph(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map(e=>Sr(ph(e)));{let e={};for(let t in this.metrics)e[t]=Sr(ph(this.metrics[t]));return e}}getTrainingConfig(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}}loadTrainingConfig(e){if(e.weighted_metrics!=null)throw new Error("Loading weight_metrics is not supported yet.");if(e.loss_weights!=null)throw new Error("Loading loss_weights is not supported yet.");if(e.sample_weight_mode!=null)throw new Error("Loading sample_weight_mode is not supported yet.");let t=nc(e.optimizer_config),n=Ua(t),a;if(typeof e.loss=="string")a=Us(e.loss);else if(Array.isArray(e.loss))a=e.loss.map(s=>Us(s));else if(e.loss!=null){a={};for(let s in e.loss)a[s]=Us(e.loss[s])}let r;if(Array.isArray(e.metrics))r=e.metrics.map(s=>Us(s));else if(e.metrics!=null){r={};for(let s in e.metrics)r[s]=Us(e.metrics[s])}this.compile({loss:a,metrics:r,optimizer:n})}async save(e,t){if(typeof e=="string"){let i=Ut.getSaveHandlers(e);if(i.length===0)throw new V(`Cannot find any save handlers for URL '${e}'`);if(i.length>1)throw new V(`Found more than one (${i.length}) save handlers for URL '${e}'`);e=i[0]}if(e.save==null)throw new V("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");let n=await Ut.encodeWeights(this.getNamedWeights(t)),a=!1,r=null,s={modelTopology:this.toJSON(r,a),format:CU,generatedBy:`TensorFlow.js tfjs-layers v${vw}`,convertedBy:null};if((t==null?!1:t.includeOptimizer)&&this.optimizer!=null){s.trainingConfig=this.getTrainingConfig();let i="optimizer",{data:o,specs:l}=await Ut.encodeWeights(await this.optimizer.getWeights(),i);n.specs.push(...l),n.data=Ut.concatenateArrayBuffers([n.data,o])}return this.userDefinedMetadata!=null&&(Lk(this.userDefinedMetadata,this.name,!0),s.userDefinedMetadata=this.userDefinedMetadata),s.weightData=n.data,s.weightSpecs=n.specs,e.save(s)}setUserDefinedMetadata(e){Lk(e,this.name),this.userDefinedMetadata=e}getUserDefinedMetadata(){return this.userDefinedMetadata}};Er.className="Model";ne.registerClass(Er);var ON=class extends Er{};ON.className="Functional";ne.registerClass(ON);async function _U(e,t){"modelTopology"in e||(e={modelTopology:e}),e=e;let n=e.modelTopology;n.model_config!=null&&(n=n.model_config);let a=nc(n),r=Ua(a,t);if(e.weightsManifest!=null){let s=await Ut.loadWeights(e.weightsManifest,e.pathPrefix,r.weights.map(o=>o.originalName)),i={};for(let o of r.weights)i[o.originalName]=s[o.originalName];r.loadWeights(i),_e(s)}return r}async function EU(e,t){if(t==null&&(t={}),typeof e=="string"){let n=Ut.getLoadHandlers(e,t);if(n.length===0)n.push(Ut.browserHTTPRequest(e,t));else if(n.length>1)throw new V(`Found more than one (${n.length}) load handlers for URL '${e}'`);e=n[0]}return AU(e,void 0,t)}async function AU(e,t,n){if(n==null&&(n={}),e.load==null)throw new V("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let a=await e.load(),r=a.modelTopology;r.model_config!=null&&(r=r.model_config);let s=n.strict==null?!0:n.strict,i=a.weightData!=null&&a.weightSpecs!=null&&s,o=Ua(nc(r),t,i),l=a.trainingConfig;if(l!=null&&o.loadTrainingConfig(l),a.userDefinedMetadata!=null&&o.setUserDefinedMetadata(a.userDefinedMetadata),a.weightData!=null){if(a.weightSpecs==null)throw new V("LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.");let{modelWeights:u,optimizerWeights:p}=$U(a.weightData,a.weightSpecs);o.loadWeights(u,s),o.optimizer!=null&&p.length>0&&await o.optimizer.setWeights(p),_e(u),_e(p.map(d=>d.tensor))}return o}function $U(e,t){let n=Ut.decodeWeights(e,t),a={},r=[];return t.forEach(s=>{s.group==="optimizer"?r.push({name:s.name,tensor:n[s.name]}):a[s.name]=n[s.name]}),{modelWeights:a,optimizerWeights:r}}var Tl=class extends Er{constructor(e){if(super({inputs:[],outputs:[]}),e=e||{},this.trainable=!0,this.built=!1,this.name=e.name!=null?e.name:_f("sequential_"),e.layers!=null)for(let t of e.layers)this.add(t)}checkShape(e){if(e.inboundNodes[0].outputTensors[0].shape.some(t=>t<0))throw new V(`Negative dimension size caused by adding layer ${e.name} with input shape [${e.inboundNodes[0].inputTensors[0].shape}]`)}add(e){let t=e instanceof Tl||e instanceof Er,n;if(t){if(n=e,n.outputs.length!==1)throw new V("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");if(n.inputs.length!==1)throw new V("All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.")}if(this.outputs.length===0){if(e.inboundNodes.length===0){if(e.batchInputShape==null)throw new V("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");let a=bN({batchShape:e.batchInputShape,dtype:e.dtype,name:e.name+"_input"});e.apply(a)}if(t)this.outputs=n.outputs,this.inputs=n.inputs;else{if(e.inboundNodes.length!==1)throw new V(`A layer added to a Sequential model must not already be connected somewhere else. LayersModel received layer ${e.name} which has ${e.inboundNodes.length} pre-existing inbound connections.`);if(e.inboundNodes[0].outputTensors.length!==1)throw new V("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[e.inboundNodes[0].outputTensors[0]],this.inputs=gN(this.outputs[0])}this.inboundNodes=[],new Of({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:li(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(a=>a.shape),outputShapes:this.outputs[0].shape})}else{let a=e.apply(this.outputs[0]);if(Array.isArray(a))throw new TypeError("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[a],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(e),this.built=!1}pop(){if(this.layers.length===0)throw new TypeError("There are no layers in the model.");if(this.layers.pop(),this.layers.length===0)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{let e=this.layers.length-1;this.layers[e].outboundNodes=[],this.outputs=[this.layers[e].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}}call(e,t){return this.model==null&&this.build(),this.model.call(e,t)}build(e){if(tt(e),this.inputs.length===0||this.outputs.length===0)throw new TypeError("Sequential model cannot be built: model is empty. Add some layers first.");this.model=new Er({inputs:this.inputs,outputs:this.outputs[0],name:this.name+"_model"}),this.model.trainable=this.trainable,this.supportsMasking=this.model.supportsMasking,this.inputLayers=this.model.inputLayers,this.inputLayersNodeIndices=this.model.inputLayersNodeIndices,this.inputLayersTensorIndices=this.model.inputLayersTensorIndices,this.outputLayers=this.model.outputLayers,this.outputLayersNodeIndices=this.model.outputLayersNodeIndices,this.outputLayersTensorIndices=this.model.outputLayersTensorIndices,this.nodesByDepth=this.model.nodesByDepth,this.containerNodes=this.model.containerNodes,this.outputNames=this.model.outputNames,this.inputNames=this.model.inputNames,this.built=!0}countParams(){return this.built||this.build(),super.countParams()}summary(e,t,n=console.log){this.built||this.build(),super.summary(e,t,n)}setWeights(e){this.model==null&&this.build(),this.model.setWeights(e)}evaluate(e,t,n={}){if(!this.built)throw new Wa("The model needs to be compiled before being used.");return this.model.evaluate(e,t,n)}async evaluateDataset(e,t){if(!this.built)throw new Wa("The model needs to be compiled before being used.");return this.model.evaluateDataset(e,t)}predict(e,t={}){return this.model==null&&this.build(),this.model.predict(e,t)}predictOnBatch(e){return this.model==null&&this.build(),this.model.predictOnBatch(e)}compile(e){this.build(),this.model.compile(e),this.optimizer_=this.model.optimizer,this.isOptimizerOwned=this.model.isOptimizerOwned,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames}get optimizer(){return this.model==null?void 0:this.model.optimizer}set optimizer(e){this.model.optimizer=e}async fit(e,t,n={}){if(!this.built)throw new Wa("The model needs to be compiled before being used.");return this.model.fit(e,t,n)}async fitDataset(e,t){if(!this.built)throw new Wa("The model needs to be compiled before being used.");return this.model.fitDataset(e,t)}async trainOnBatch(e,t){return this.model.trainOnBatch(e,t)}static fromConfig(e,t,n={},a=!1){let r,s={};if(t instanceof Array){if(t[0].className==null||t[0].className==="Merge")throw new V("Legacy serialization format not supported yet.");r=t}else v.assert(t.layers!=null,()=>"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field."),r=t.layers,delete t.layers,s=t;let i=new e(s);if(!(i instanceof Tl))throw new Me(`Sequential.fromConfig called on non-Sequential input: ${i}`);for(let o of r){let l=Ua(o,void 0,a);a&&l.setFastWeightInitDuringBuild(!0),i.add(l)}return i}set stopTraining(e){if(this.model==null)throw new V("Cannot set the stopTraining property of a sequential model before it is compiled.");this.model.stopTraining=e}get stopTraining(){if(this.model==null)throw new V("Cannot get the stopTraining property of a sequential model before it is compiled.");return this.model.stopTraining}getConfig(){let e=[];for(let t of this.layers){let n={};n.className=t.getClassName(),n.config=t.getConfig(),e.push(n)}return{name:this.name,layers:e}}};Tl.className="Sequential";ne.registerClass(Tl);function FU(e){return new Er(e)}function DU(e){return new Tl(e)}function LN(e){return bN(e)}function RU(e,t){Ca.registerCallbackConstructor(e,t)}var Un=class extends ne.Serializable{getConfig(){return{}}},zN=class extends Un{apply(e,t=1){return nV(e,t)}};zN.className="elu";ne.registerClass(zN);var WN=class extends Un{apply(e){return uf(e)}};WN.className="selu";ne.registerClass(WN);var BN=class extends Un{apply(e){return Xe(e)}};BN.className="relu";ne.registerClass(BN);var VN=class extends Un{apply(e){return P(()=>Vu(6,Xe(e)))}};VN.className="relu6";ne.registerClass(VN);var UN=class extends Un{apply(e){return e}};UN.className="linear";ne.registerClass(UN);var GN=class extends Un{apply(e){return ha(e)}};GN.className="sigmoid";ne.registerClass(GN);var HN=class extends Un{apply(e){return rV(e)}};HN.className="hardSigmoid";ne.registerClass(HN);var jN=class extends Un{apply(e){return mo(e)}};jN.className="softplus";ne.registerClass(jN);var qN=class extends Un{apply(e){return aV(e)}};qN.className="softsign";ne.registerClass(qN);var KN=class extends Un{apply(e){return si(e)}};KN.className="tanh";ne.registerClass(KN);var kw=class extends Un{apply(e,t=-1){return Ka(e,t)}};kw.className="softmax";ne.registerClass(kw);var XN=class extends Un{apply(e,t=-1){return ef(e,t)}};XN.className="logSoftmax";ne.registerClass(XN);var YN=class extends Un{apply(e,t=1){return P(()=>z(ha(z(e,t)),e))}};YN.className="swish";ne.registerClass(YN);var ZN=class extends Un{apply(e){return P(()=>z(e,si(mo(e))))}};ZN.className="mish";ne.registerClass(ZN);function us(e){return e.getClassName()}function wy(e,t={}){return Kc(e,ne.SerializationMap.getMap().classNameMap,t,"activation")}function ps(e){if(e==null){let t={};return t.className="linear",t.config={},wy(t)}if(typeof e=="string"){let t={};return t.className=e,t.config={},wy(t)}else return e instanceof Un?e:wy(e)}function Iw(e){if(e!=null&&typeof e!="object")throw new Error(`Argument to L1L2 regularizer's constructor is expected to be an object, but received: ${e}`)}var JN=class extends ne.Serializable{},Qc=class extends JN{constructor(e){super(),Iw(e),this.l1=e==null||e.l1==null?.01:e.l1,this.l2=e==null||e.l2==null?.01:e.l2,this.hasL1=this.l1!==0,this.hasL2=this.l2!==0}apply(e){return P(()=>{let t=It([1]);return this.hasL1&&(t=Y(t,fe(z(this.l1,Lt(e))))),this.hasL2&&(t=Y(t,fe(z(this.l2,Yc(e))))),W(t,[])})}getConfig(){return{l1:this.l1,l2:this.l2}}static fromConfig(e,t){return new e({l1:t.l1,l2:t.l2})}};Qc.className="L1L2";ne.registerClass(Qc);function MU(e){return Iw(e),new Qc({l1:e!=null?e.l1:null,l2:0})}function PU(e){return Iw(e),new Qc({l2:e!=null?e.l2:null,l1:0})}var Gk={l1l2:"L1L2"};function pt(e){return ew(e)}function Hk(e,t={}){return Kc(e,ne.SerializationMap.getMap().classNameMap,t,"regularizer")}function Tt(e){if(e==null)return null;if(typeof e=="string"){let t={className:e in Gk?Gk[e]:e,config:{}};return Hk(t)}else return e instanceof JN?e:Hk(e)}var Sw=class extends Ge{constructor(e){super(e==null?{}:e),this.supportsMasking=!0,e!=null&&(this.maxValue=e.maxValue)}call(e,t){e=Ne(e);let n=Xe(e);return this.maxValue!=null&&(n=en(n,0,this.maxValue)),n}computeOutputShape(e){return e}getConfig(){let e={maxValue:this.maxValue},t=super.getConfig();return Object.assign(e,t),e}};Sw.className="ReLU";ne.registerClass(Sw);var Tw=class extends Ge{constructor(e){super(e==null?{}:e),this.DEFAULT_ALPHA=.3,e==null&&(e={}),this.alpha=e.alpha==null?this.DEFAULT_ALPHA:e.alpha}call(e,t){let n=Ne(e);return Lc(n,this.alpha)}computeOutputShape(e){return e}getConfig(){let e={alpha:this.alpha},t=super.getConfig();return Object.assign(e,t),e}};Tw.className="LeakyReLU";ne.registerClass(Tw);var Nw=class extends Ge{constructor(e){if(super(e==null?{}:e),this.DEFAULT_ALPHA_INITIALIZER="zeros",e==null&&(e={}),this.supportsMasking=!0,this.alphaInitializer=St(e.alphaInitializer||this.DEFAULT_ALPHA_INITIALIZER),this.alphaRegularizer=Tt(e.alphaRegularizer),this.alphaConstraint=Kt(e.alphaConstraint),e.sharedAxes==null)this.sharedAxes=null;else if(Array.isArray(e.sharedAxes))this.sharedAxes=e.sharedAxes;else if(typeof e.sharedAxes=="number")this.sharedAxes=[e.sharedAxes];else throw new V(`Expected sharedAxes to be a number or an array of numbers, but got ${e.sharedAxes}`)}build(e){e=tt(e);let t=e.slice(1);if(this.sharedAxes!=null)for(let a of this.sharedAxes)t[a-1]=1;this.alpha=this.addWeight("alpha",t,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);let n={};if(this.sharedAxes!=null)for(let a=1;a(Rt(t),t==="channelsFirst"?Ee(e,[0,2,3,1]):e))}function QN(e,t){return P(()=>(Rt(t),t==="channelsFirst"?Ee(e,[0,2,3,4,1]):e))}function OU(e,t,n,a=1,r="valid",s,i=1){return P(()=>{if(s==null&&(s=ja()),Rt(s),e.shape.length!==3)throw new V(`The input of a conv1dWithBias operation should be 3, but is ${e.shape.length} instead.`);if(t.shape.length!==3)throw new V(`The kernel for a conv1dWithBias operation should be 3, but is ${t.shape.length} instead`);if(n!=null&&n.shape.length!==1)throw new V(`The bias for a conv1dWithBias operation should be 1, but is ${t.shape.length} instead`);if(s==="channelsFirst"&&(e=Ee(e,[0,2,1])),r==="causal")throw new Me("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");let o=qm(e,t,a,r==="same"?"same":"valid","NWC",i);return n!=null&&(o=Xa(o,n)),o})}function jk(e,t,n,a=[1,1],r="valid",s,i,o=null){return P(()=>{if(s==null&&(s=ja()),Rt(s),e.rank!==3&&e.rank!==4)throw new V(`conv2dWithBiasActivation expects input to be of rank 3 or 4, but received ${e.rank}.`);if(t.rank!==3&&t.rank!==4)throw new V(`conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received ${e.rank}.`);let l=Aw(e,s);if(r==="causal")throw new Me("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return l=kl.conv2d({x:l,filter:t,strides:a,pad:r==="same"?"same":"valid",dilations:i,dataFormat:"NHWC",bias:n,activation:o}),s==="channelsFirst"&&(l=Ee(l,[0,3,1,2])),l})}function LU(e,t,n,a=[1,1,1],r="valid",s,i){return P(()=>{if(s==null&&(s=ja()),Rt(s),e.rank!==4&&e.rank!==5)throw new V(`conv3dWithBias expects input to be of rank 4 or 5, but received ${e.rank}.`);if(t.rank!==4&&t.rank!==5)throw new V(`conv3dWithBias expects kernel to be of rank 4 or 5, but received ${e.rank}.`);let o=QN(e,s);if(r==="causal")throw new Me("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return o=fv(o,t,a,r==="same"?"same":"valid","NDHWC",i),n!=null&&(o=Xa(o,n)),s==="channelsFirst"&&(o=Ee(o,[0,4,1,2,3])),o})}var $w=class extends Ge{constructor(e,t){if(super(t),this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",$w.verifyArgs(t),this.rank=e,Qt(this.rank,"rank"),this.rank!==1&&this.rank!==2&&this.rank!==3)throw new Me(`Convolution layer for rank other than 1, 2, or 3 (${this.rank}) is not implemented yet.`);if(this.kernelSize=dl(t.kernelSize,e,"kernelSize"),this.strides=dl(t.strides==null?1:t.strides,e,"strides"),this.padding=t.padding==null?"valid":t.padding,xa(this.padding),this.dataFormat=t.dataFormat==null?"channelsLast":t.dataFormat,Rt(this.dataFormat),this.activation=ps(t.activation),this.useBias=t.useBias==null?!0:t.useBias,this.biasInitializer=St(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.biasConstraint=Kt(t.biasConstraint),this.biasRegularizer=Tt(t.biasRegularizer),this.activityRegularizer=Tt(t.activityRegularizer),this.dilationRate=dl(t.dilationRate==null?1:t.dilationRate,e,"dilationRate"),this.rank===1&&Array.isArray(this.dilationRate)&&this.dilationRate.length!==1)throw new V(`dilationRate must be a number or an array of a single number for 1D convolution, but received ${JSON.stringify(this.dilationRate)}`);if(this.rank===2){if(typeof this.dilationRate=="number")this.dilationRate=[this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==2)throw new V(`dilationRate must be a number or array of two numbers for 2D convolution, but received ${JSON.stringify(this.dilationRate)}`)}else if(this.rank===3){if(typeof this.dilationRate=="number")this.dilationRate=[this.dilationRate,this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==3)throw new V(`dilationRate must be a number or array of three numbers for 3D convolution, but received ${JSON.stringify(this.dilationRate)}`)}}static verifyArgs(e){if(ar("kernelSize"in e,"required key 'kernelSize' not in config"),typeof e.kernelSize!="number"&&!tw(e.kernelSize,"number",1,3))throw new V(`BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received ${JSON.stringify(e.kernelSize)}.`)}getConfig(){let e={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:us(this.activation),useBias:this.useBias,biasInitializer:Ct(this.biasInitializer),biasRegularizer:pt(this.biasRegularizer),activityRegularizer:pt(this.activityRegularizer),biasConstraint:qt(this.biasConstraint)},t=super.getConfig();return Object.assign(e,t),e}},ed=class extends $w{constructor(e,t){super(e,t),this.kernel=null,ed.verifyArgs(t),this.filters=t.filters,Qt(this.filters,"filters"),this.kernelInitializer=St(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.kernelConstraint=Kt(t.kernelConstraint),this.kernelRegularizer=Tt(t.kernelRegularizer)}build(e){e=tt(e);let t=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[t]==null)throw new V(`The channel dimension of the input should be defined. Found ${e[t]}`);let n=e[t],a=this.kernelSize.concat([n,this.filters]);this.kernel=this.addWeight("kernel",a,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:{[t]:n}}],this.built=!0}call(e,t){return P(()=>{e=Ne(e);let n,a=this.bias==null?null:this.bias.read(),r=oN(this.activation.getClassName());if(r!=null&&this.rank===2)n=jk(e,this.kernel.read(),a,this.strides,this.padding,this.dataFormat,this.dilationRate,r);else{if(this.rank===1)n=OU(e,this.kernel.read(),a,this.strides[0],this.padding,this.dataFormat,this.dilationRate[0]);else if(this.rank===2)n=jk(e,this.kernel.read(),a,this.strides,this.padding,this.dataFormat,this.dilationRate);else if(this.rank===3)n=LU(e,this.kernel.read(),a,this.strides,this.padding,this.dataFormat,this.dilationRate);else throw new Me("convolutions greater than 3D are not implemented yet.");this.activation!=null&&(n=this.activation.apply(n))}return n})}computeOutputShape(e){e=tt(e);let t=[],n=this.dataFormat==="channelsLast"?e.slice(1,e.length-1):e.slice(2);for(let r=0;r 0 but got ${JSON.stringify(e.filters)}`)}},td=class extends ed{constructor(e){super(2,e),td.verifyArgs(e)}getConfig(){let e=super.getConfig();return delete e.rank,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!tw(e.kernelSize,"number",1,2))throw new V(`Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received ${JSON.stringify(e.kernelSize)}.`)}};td.className="Conv2D";ne.registerClass(td);var nd=class extends ed{constructor(e){super(3,e),nd.verifyArgs(e)}getConfig(){let e=super.getConfig();return delete e.rank,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!(Array.isArray(e.kernelSize)&&(e.kernelSize.length===1||e.kernelSize.length===3)))throw new V(`Conv3D expects config.kernelSize to be number or [number, number, number], but received ${JSON.stringify(e.kernelSize)}.`)}};nd.className="Conv3D";ne.registerClass(nd);var Fw=class extends td{constructor(e){if(super(e),this.inputSpec=[new zt({ndim:4})],this.padding!=="same"&&this.padding!=="valid")throw new V(`Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(e){if(e=tt(e),e.length!==4)throw new V("Input should have rank 4; Received input shape: "+JSON.stringify(e));let t=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[t]==null)throw new V("The channel dimension of the inputs should be defined. Found `None`.");let n=e[t],a=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",a,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new zt({ndim:4,axes:{[t]:n}})],this.built=!0}call(e,t){return P(()=>{let n=Ne(e);if(n.shape.length!==4)throw new V(`Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let a=n.shape,r=a[0],s,i;this.dataFormat==="channelsFirst"?(s=2,i=3):(s=1,i=2);let o=a[s],l=a[i],u=this.kernelSize[0],p=this.kernelSize[1],d=this.strides[0],c=this.strides[1],h=rr(o,d,u,this.padding),m=rr(l,c,p,this.padding),f=[r,h,m,this.filters];this.dataFormat!=="channelsLast"&&(n=Ee(n,[0,2,3,1]));let g=Km(n,this.kernel.read(),f,this.strides,this.padding);return this.dataFormat!=="channelsLast"&&(g=Ee(g,[0,3,1,2])),this.bias!=null&&(g=Xa(g,this.bias.read(),this.dataFormat)),this.activation!=null&&(g=this.activation.apply(g)),g})}computeOutputShape(e){e=tt(e);let t=e.slice(),n,a,r;this.dataFormat==="channelsFirst"?(n=1,a=2,r=3):(n=3,a=1,r=2);let s=this.kernelSize[0],i=this.kernelSize[1],o=this.strides[0],l=this.strides[1];return t[n]=this.filters,t[a]=rr(t[a],o,s,this.padding),t[r]=rr(t[r],l,i,this.padding),t}getConfig(){let e=super.getConfig();return delete e.dilationRate,e}};Fw.className="Conv2DTranspose";ne.registerClass(Fw);var Dw=class extends nd{constructor(e){if(super(e),this.inputSpec=[new zt({ndim:5})],this.padding!=="same"&&this.padding!=="valid")throw new V(`Conv3DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(e){if(e=tt(e),e.length!==5)throw new V("Input should have rank 5; Received input shape: "+JSON.stringify(e));let t=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[t]==null)throw new V("The channel dimension of the inputs should be defined. Found `None`.");let n=e[t],a=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",a,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new zt({ndim:5,axes:{[t]:n}})],this.built=!0}call(e,t){return P(()=>{let n=Ne(e);if(n.shape.length!==5)throw new V(`Conv3DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let a=n.shape,r=a[0],s,i,o;this.dataFormat==="channelsFirst"?(o=2,s=3,i=4):(o=1,s=2,i=3);let l=a[o],u=a[s],p=a[i],d=this.kernelSize[0],c=this.kernelSize[1],h=this.kernelSize[2],m=this.strides[0],f=this.strides[1],g=this.strides[2],b=rr(l,m,d,this.padding),y=rr(u,f,c,this.padding),x=rr(p,g,h,this.padding),w=[r,b,y,x,this.filters];this.dataFormat!=="channelsLast"&&(n=Ee(n,[0,2,3,4,1]));let I=gv(n,this.kernel.read(),w,this.strides,this.padding);return this.dataFormat!=="channelsLast"&&(I=Ee(I,[0,4,1,2,3])),this.bias!==null&&(I=Xa(I,this.bias.read(),this.dataFormat)),this.activation!==null&&(I=this.activation.apply(I)),I})}computeOutputShape(e){e=tt(e);let t=e.slice(),n,a,r,s;this.dataFormat==="channelsFirst"?(n=1,a=2,r=3,s=4):(n=4,a=1,r=2,s=3);let i=this.kernelSize[0],o=this.kernelSize[1],l=this.kernelSize[2],u=this.strides[0],p=this.strides[1],d=this.strides[2];return t[n]=this.filters,t[a]=rr(t[a],u,i,this.padding),t[r]=rr(t[r],p,o,this.padding),t[s]=rr(t[s],d,l,this.padding),t}getConfig(){let e=super.getConfig();return delete e.dilationRate,e}};Dw.className="Conv3DTranspose";ne.registerClass(Dw);var e2=class extends ed{constructor(e,t){if(super(e,t),this.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",this.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",this.depthwiseKernel=null,this.pointwiseKernel=null,t.filters==null)throw new V("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(t.kernelInitializer!=null||t.kernelRegularizer!=null||t.kernelConstraint!=null)throw new V("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(t.padding!=null&&t.padding!=="same"&&t.padding!=="valid")throw new V(`SeparableConv${this.rank}D supports only padding modes: 'same' and 'valid', but received ${JSON.stringify(t.padding)}`);this.depthMultiplier=t.depthMultiplier==null?1:t.depthMultiplier,this.depthwiseInitializer=St(t.depthwiseInitializer||this.DEFAULT_DEPTHWISE_INITIALIZER),this.depthwiseRegularizer=Tt(t.depthwiseRegularizer),this.depthwiseConstraint=Kt(t.depthwiseConstraint),this.pointwiseInitializer=St(t.depthwiseInitializer||this.DEFAULT_POINTWISE_INITIALIZER),this.pointwiseRegularizer=Tt(t.pointwiseRegularizer),this.pointwiseConstraint=Kt(t.pointwiseConstraint)}build(e){if(e=tt(e),e.length{e=Ne(e);let n;if(this.rank===1)throw new Me("1D separable convolution is not implemented yet.");return this.rank===2&&(this.dataFormat==="channelsFirst"&&(e=Ee(e,[0,2,3,1])),n=Ts(e,this.depthwiseKernel.read(),this.pointwiseKernel.read(),this.strides,this.padding,this.dilationRate,"NHWC")),this.useBias&&(n=Xa(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),this.dataFormat==="channelsFirst"&&(n=Ee(n,[0,3,1,2])),n})}getConfig(){let e=super.getConfig();return delete e.rank,delete e.kernelInitializer,delete e.kernelRegularizer,delete e.kernelConstraint,e.depthwiseInitializer=Ct(this.depthwiseInitializer),e.pointwiseInitializer=Ct(this.pointwiseInitializer),e.depthwiseRegularizer=pt(this.depthwiseRegularizer),e.pointwiseRegularizer=pt(this.pointwiseRegularizer),e.depthwiseConstraint=qt(this.depthwiseConstraint),e.pointwiseConstraint=qt(this.pointwiseConstraint),e}};e2.className="SeparableConv";var Rw=class extends e2{constructor(e){super(2,e)}};Rw.className="SeparableConv2D";ne.registerClass(Rw);var Wf=class extends ed{constructor(e){super(1,e),Wf.verifyArgs(e),this.inputSpec=[{ndim:3}]}getConfig(){let e=super.getConfig();return delete e.rank,delete e.dataFormat,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!tw(e.kernelSize,"number",1,1))throw new V(`Conv1D expects config.kernelSize to be number or number[] with length 1, but received ${JSON.stringify(e.kernelSize)}.`)}};Wf.className="Conv1D";ne.registerClass(Wf);var Mw=class extends Ge{constructor(e){super(e),typeof e.cropping=="number"?this.cropping=[[e.cropping,e.cropping],[e.cropping,e.cropping]]:typeof e.cropping[0]=="number"?this.cropping=[[e.cropping[0],e.cropping[0]],[e.cropping[1],e.cropping[1]]]:this.cropping=e.cropping,this.dataFormat=e.dataFormat===void 0?"channelsLast":e.dataFormat,this.inputSpec=[{ndim:4}]}computeOutputShape(e){return this.dataFormat==="channelsFirst"?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]}call(e,t){return P(()=>{if(e=Ne(e),this.dataFormat==="channelsLast"){let n=uh(e,this.cropping[0][0],e.shape[1]-this.cropping[0][0]-this.cropping[0][1],2);return uh(n,this.cropping[1][0],e.shape[2]-this.cropping[1][1]-this.cropping[1][0],3)}else{let n=uh(e,this.cropping[0][0],e.shape[2]-this.cropping[0][0]-this.cropping[0][1],3);return uh(n,this.cropping[1][0],e.shape[3]-this.cropping[1][1]-this.cropping[1][0],4)}})}getConfig(){let e={cropping:this.cropping,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}};Mw.className="Cropping2D";ne.registerClass(Mw);var Pw=class extends Ge{constructor(e){super(e),this.DEFAULT_SIZE=[2,2],this.inputSpec=[{ndim:4}],this.size=e.size==null?this.DEFAULT_SIZE:e.size,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Rt(this.dataFormat),this.interpolation=e.interpolation==null?"nearest":e.interpolation,X4(this.interpolation)}computeOutputShape(e){if(this.dataFormat==="channelsFirst"){let t=e[2]==null?null:this.size[0]*e[2],n=e[3]==null?null:this.size[1]*e[3];return[e[0],e[1],t,n]}else{let t=e[1]==null?null:this.size[0]*e[1],n=e[2]==null?null:this.size[1]*e[2];return[e[0],t,n,e[3]]}}call(e,t){return P(()=>{let n=Ne(e),a=n.shape;if(this.dataFormat==="channelsFirst"){n=Ee(n,[0,2,3,1]);let r=this.size[0]*a[2],s=this.size[1]*a[3],i=this.interpolation==="nearest"?za.resizeNearestNeighbor(n,[r,s]):za.resizeBilinear(n,[r,s]);return Ee(i,[0,3,1,2])}else{let r=this.size[0]*a[1],s=this.size[1]*a[2];return this.interpolation==="nearest"?za.resizeNearestNeighbor(n,[r,s]):za.resizeBilinear(n,[r,s])}})}getConfig(){let e={size:this.size,dataFormat:this.dataFormat,interpolation:this.interpolation},t=super.getConfig();return Object.assign(e,t),e}};Pw.className="UpSampling2D";ne.registerClass(Pw);function zU(e,t,n=[1,1],a="valid",r,s){return P(()=>{r==null&&(r=ja()),Rt(r);let i=Aw(e,r);if(e.rank!==4)throw new V(`Input for depthwiseConv2d is required to be 4-D, but is instead ${e.rank}-D`);if(t.rank!==4)throw new V(`depthwiseKernel is required to be 4-D, but is instead ${t.rank}-D`);return i=Is(i,t,n,a==="same"?"same":"valid","NHWC",s),r==="channelsFirst"&&(i=Ee(i,[0,3,1,2])),i})}var Ow=class extends $w{constructor(e){super(2,e),this.depthwiseKernel=null,this.depthMultiplier=e.depthMultiplier==null?1:e.depthMultiplier,this.depthwiseInitializer=St(e.depthwiseInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.depthwiseConstraint=Kt(e.depthwiseConstraint),this.depthwiseRegularizer=Tt(e.depthwiseRegularizer)}build(e){if(e=tt(e),e.length<4)throw new V(`Inputs to DepthwiseConv2D should have rank 4. Received input shape: ${JSON.stringify(e)}.`);let t=this.dataFormat==="channelsFirst"?1:3;if(e[t]==null||e[t]<0)throw new V(`The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not (${e[t]}).`);let n=e[t],a=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",a,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return P(()=>{e=Ne(e);let n=zU(e,this.depthwiseKernel.read(),this.strides,this.padding,this.dataFormat,null);return this.useBias&&(n=Xa(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),n})}computeOutputShape(e){e=tt(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2],a=this.dataFormat==="channelsFirst"?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,r=Ga(t,this.kernelSize[0],this.padding,this.strides[0]),s=Ga(n,this.kernelSize[1],this.padding,this.strides[1]);return this.dataFormat==="channelsFirst"?[e[0],a,r,s]:[e[0],r,s,a]}getConfig(){let e=super.getConfig();return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=Ct(this.depthwiseInitializer),e.depthwiseRegularizer=pt(this.depthwiseRegularizer),e.depthwiseConstraint=qt(this.depthwiseRegularizer),e}};Ow.className="DepthwiseConv2D";ne.registerClass(Ow);function t2(e,t,n,a){if(Array.isArray(e)){if(t!=null||n!=null)throw new V("When inputs is an array, neither initialState or constants should be provided");a!=null&&(n=e.slice(e.length-a,e.length),e=e.slice(0,e.length-a)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function r(s){return s==null||Array.isArray(s)?s:[s]}return t=r(t),n=r(n),{inputs:e,initialState:t,constants:n}}function n2(e,t,n,a=!1,r,s,i=!1,o=!1){return P(()=>{let l=t.shape.length;if(l<3)throw new V(`Input should be at least 3D, but is ${l}D.`);let u=[1,0].concat(Ha(2,l));if(t=Ee(t,u),s!=null)throw new Me("The rnn() functoin of the deeplearn.js backend does not support constants yet.");i&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),r!=null&&(r=oe(oe(r,"bool"),"float32"),r.rank===l-1&&(r=Zt(r,-1)),r=Ee(r,u)),a&&(t=ga(t,0),r!=null&&(r=ga(r,0)));let p=[],d,c=n,h=t.shape[0],m=ct(t),f;r!=null&&(f=ct(r));for(let b=0;be(y,c));if(r==null)d=x[0],c=x[1];else{let w=P(()=>{let I=f[b],T=pe(na(I),I),C=Y(z(x[0],I),z(c[0],T)),E=c.map((A,R)=>Y(z(x[1][R],I),z(A,T)));return{output:C,newStates:E}});d=w.output,c=w.newStates}o&&p.push(d)}let g;return o&&(g=Ft(p,1)),[d,g,c]})}var mr=class extends Ge{constructor(e){super(e);let t;if(e.cell==null)throw new V("cell property is missing for the constructor of RNN.");if(Array.isArray(e.cell)?t=new Uf({cells:e.cell}):t=e.cell,t.stateSize==null)throw new V("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");this.cell=t,this.returnSequences=e.returnSequences==null?!1:e.returnSequences,this.returnState=e.returnState==null?!1:e.returnState,this.goBackwards=e.goBackwards==null?!1:e.goBackwards,this._stateful=e.stateful==null?!1:e.stateful,this.unroll=e.unroll==null?!1:e.unroll,this.supportsMasking=!0,this.inputSpec=[new zt({ndim:3})],this.stateSpec=null,this.states_=null,this.numConstants=null,this.keptStates=[]}getStates(){if(this.states_==null){let e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;return Ha(0,e).map(t=>null)}else return this.states_}setStates(e){this.states_=e}computeOutputShape(e){jy(e)&&(e=e[0]),e=e;let t=this.cell.stateSize;Array.isArray(t)||(t=[t]);let n=t[0],a;if(this.returnSequences?a=[e[0],e[1],n]:a=[e[0],n],this.returnState){let r=[];for(let s of t)r.push([e[0],s]);return[a].concat(r)}else return a}computeMask(e,t){return P(()=>{Array.isArray(t)&&(t=t[0]);let n=this.returnSequences?t:null;if(this.returnState){let a=this.states.map(r=>null);return[n].concat(a)}else return n})}get states(){if(this.states_==null){let e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,t=[];for(let n=0;ns.shape[s.shape.length-1]),r))throw new V(`An initialState was passed that is not compatible with cell.stateSize. Received stateSpec=${this.stateSpec}; However cell.stateSize is ${this.cell.stateSize}`)}else this.stateSpec=r.map(s=>new zt({shape:[null,s]}));this.stateful&&this.resetStates()}resetStates(e,t=!1){P(()=>{if(!this.stateful)throw new Ir("Cannot call resetStates() on an RNN Layer that is not stateful.");let n=this.inputSpec[0].shape[0];if(n==null)throw new V("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(this.states_==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(a=>It([n,a])):this.states_=[It([n,this.cell.stateSize])];else if(e==null)_e(this.states_),this.keptStates!=null&&(_e(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(a=>It([n,a])):this.states_[0]=It([n,this.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==this.states_.length)throw new V(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${e.length} state value(s). Input received: ${e}`);t===!0?this.keptStates.push(this.states_.slice()):_e(this.states_);for(let a=0;aJt(a.clone()))})}apply(e,t){let n=t==null?null:t.initialState,a=t==null?null:t.constants;t==null&&(t={});let r=t2(e,n,a,this.numConstants);e=r.inputs,n=r.initialState,a=r.constants;let s=[],i=[];if(n!=null){t.initialState=n,s=s.concat(n),this.stateSpec=[];for(let o of n)this.stateSpec.push(new zt({shape:o.shape}));i=i.concat(this.stateSpec)}if(a!=null&&(t.constants=a,s=s.concat(a),this.numConstants=a.length),s[0]instanceof Ba){let o=[e].concat(s),l=this.inputSpec.concat(i),u=this.inputSpec;this.inputSpec=l;let p=super.apply(o,t);return this.inputSpec=u,p}else return super.apply(e,t)}call(e,t){return P(()=>{let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;e=Ne(e),r==null&&(this.stateful?r=this.states_:r=this.getInitialState(e));let s=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;if(r.length!==s)throw new V(`RNN Layer has ${s} state(s) but was passed ${r.length} initial state(s).`);this.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");let i={training:a},o=n2((c,h)=>{let m=this.cell.call([c].concat(h),i);return[m[0],m.slice(1)]},e,r,this.goBackwards,n,null,this.unroll,this.returnSequences),l=o[0],u=o[1],p=o[2];this.stateful&&this.resetStates(p,a);let d=this.returnSequences?u:l;return this.returnState?[d].concat(p):d})}getInitialState(e){return P(()=>{let t=It(e.shape);return t=fe(t,[1,2]),t=Xc(t),Array.isArray(this.cell.stateSize)?this.cell.stateSize.map(n=>n>1?Gy(t,[1,n]):t):this.cell.stateSize>1?[Gy(t,[1,this.cell.stateSize])]:[t]})}get trainableWeights(){return this.trainable?this.cell.trainableWeights:[]}get nonTrainableWeights(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),this.cell!=null&&this.cell.setFastWeightInitDuringBuild(e)}getConfig(){let e=super.getConfig(),t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};this.numConstants!=null&&(t.numConstants=this.numConstants);let n=this.cell.getConfig();return this.getClassName()===mr.className&&(t.cell={className:this.cell.getClassName(),config:n}),Object.assign(Object.assign(Object.assign({},n),e),t)}static fromConfig(e,t,n={}){let a=t.cell,r=Ua(a,n);return new e(Object.assign(t,{cell:r}))}};mr.className="RNN";ne.registerClass(mr);var ad=class extends Ge{},Bf=class extends ad{constructor(e){super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=e.units,Qt(this.units,"units"),this.activation=ps(e.activation==null?this.DEFAULT_ACTIVATION:e.activation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=St(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=Tt(e.kernelRegularizer),this.recurrentRegularizer=Tt(e.recurrentRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.kernelConstraint=Kt(e.kernelConstraint),this.recurrentConstraint=Kt(e.recurrentConstraint),this.biasConstraint=Kt(e.biasConstraint),this.dropout=Il([1,ls([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=Il([1,ls([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.dropoutFunc=e.dropoutFunc,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){e=tt(e),this.kernel=this.addWeight("kernel",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return P(()=>{if(e=e,e.length!==2)throw new V(`SimpleRNNCell expects 2 input Tensors, got ${e.length}.`);let n=e[1];e=e[0];let a=t.training==null?!1:t.training;0na(e),rate:this.dropout,training:a,dropoutFunc:this.dropoutFunc})),0na(n),rate:this.recurrentDropout,training:a,dropoutFunc:this.dropoutFunc}));let r,s=this.dropoutMask,i=this.recurrentDropoutMask;s!=null?r=or(z(e,s),this.kernel.read()):r=or(e,this.kernel.read()),this.bias!=null&&(r=Xa(r,this.bias.read())),i!=null&&(n=z(n,i));let o=Y(r,or(n,this.recurrentKernel.read()));return this.activation!=null&&(o=this.activation.apply(o)),[o,o]})}getConfig(){let e=super.getConfig(),t={units:this.units,activation:us(this.activation),useBias:this.useBias,kernelInitializer:Ct(this.kernelInitializer),recurrentInitializer:Ct(this.recurrentInitializer),biasInitializer:Ct(this.biasInitializer),kernelRegularizer:pt(this.kernelRegularizer),recurrentRegularizer:pt(this.recurrentRegularizer),biasRegularizer:pt(this.biasRegularizer),activityRegularizer:pt(this.activityRegularizer),kernelConstraint:qt(this.kernelConstraint),recurrentConstraint:qt(this.recurrentConstraint),biasConstraint:qt(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign(Object.assign({},e),t)}};Bf.className="SimpleRNNCell";ne.registerClass(Bf);var Lw=class extends mr{constructor(e){e.cell=new Bf(e),super(e)}call(e,t){return P(()=>{this.cell.dropoutMask!=null&&(_e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(_e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}static fromConfig(e,t){return new e(t)}};Lw.className="SimpleRNN";ne.registerClass(Lw);var Vf=class extends ad{constructor(e){if(super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",e.resetAfter)throw new V("GRUCell does not support reset_after parameter set to true.");this.units=e.units,Qt(this.units,"units"),this.activation=ps(e.activation===void 0?this.DEFAULT_ACTIVATION:e.activation),this.recurrentActivation=ps(e.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=St(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=Tt(e.kernelRegularizer),this.recurrentRegularizer=Tt(e.recurrentRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.kernelConstraint=Kt(e.kernelConstraint),this.recurrentConstraint=Kt(e.recurrentConstraint),this.biasConstraint=Kt(e.biasConstraint),this.dropout=Il([1,ls([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=Il([1,ls([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.dropoutFunc=e.dropoutFunc,this.implementation=e.implementation,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){e=tt(e);let t=e[e.length-1];this.kernel=this.addWeight("kernel",[t,this.units*3],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*3],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units*3],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return P(()=>{if(e=e,e.length!==2)throw new V(`GRUCell expects 2 input Tensors (inputs, h, c), got ${e.length}.`);let n=t.training==null?!1:t.training,a=e[1];e=e[0],0na(e),rate:this.dropout,training:n,count:3,dropoutFunc:this.dropoutFunc})),0na(a),rate:this.recurrentDropout,training:n,count:3,dropoutFunc:this.dropoutFunc}));let r=this.dropoutMask,s=this.recurrentDropoutMask,i,o,l;0{this.cell.dropoutMask!=null&&(_e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(_e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}static fromConfig(e,t){return t.implmentation===0&&(t.implementation=1),new e(t)}};zw.className="GRU";ne.registerClass(zw);var rd=class extends ad{constructor(e){super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=e.units,Qt(this.units,"units"),this.activation=ps(e.activation===void 0?this.DEFAULT_ACTIVATION:e.activation),this.recurrentActivation=ps(e.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=St(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.unitForgetBias=e.unitForgetBias,this.kernelRegularizer=Tt(e.kernelRegularizer),this.recurrentRegularizer=Tt(e.recurrentRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.kernelConstraint=Kt(e.kernelConstraint),this.recurrentConstraint=Kt(e.recurrentConstraint),this.biasConstraint=Kt(e.biasConstraint),this.dropout=Il([1,ls([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=Il([1,ls([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.dropoutFunc=e.dropoutFunc,this.implementation=e.implementation,this.stateSize=[this.units,this.units],this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){var t;e=tt(e);let n=e[e.length-1];this.kernel=this.addWeight("kernel",[n,this.units*4],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*4],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint);let a;if(this.useBias){if(this.unitForgetBias){let r=this.biasInitializer,s=this.units;a=new(t=class extends Ra{apply(i,o){let l=r.apply([s]),u=new Af().apply([s]),p=r.apply([s*2]);return Ak(Ak(l,u),p)}},t.className="CustomInit",t)}else a=this.biasInitializer;this.bias=this.addWeight("bias",[this.units*4],null,a,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0}call(e,t){return P(()=>{let n=t.training==null?!1:t.training;if(e=e,e.length!==3)throw new V(`LSTMCell expects 3 input Tensors (inputs, h, c), got ${e.length}.`);let a=e[1],r=e[2];e=e[0],0na(e),rate:this.dropout,training:n,count:4,dropoutFunc:this.dropoutFunc})),0na(a),rate:this.recurrentDropout,training:n,count:4,dropoutFunc:this.dropoutFunc}));let s=this.dropoutMask,i=this.recurrentDropoutMask,o,l,u,p;0{this.cell.dropoutMask!=null&&(_e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(_e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}static fromConfig(e,t){return t.implmentation===0&&(t.implementation=1),new e(t)}};Ww.className="LSTM";ne.registerClass(Ww);var Uf=class extends ad{constructor(e){super(e),this.cells=e.cells}get stateSize(){let e=[];for(let t of this.cells.slice().reverse())Array.isArray(t.stateSize)?e.push(...t.stateSize):e.push(t.stateSize);return e}call(e,t){return P(()=>{e=e;let n=e.slice(1),a=[];for(let i of this.cells.slice().reverse())Array.isArray(i.stateSize)?a.push(n.splice(0,i.stateSize.length)):a.push(n.splice(0,1));a.reverse();let r=[],s;for(let i=0;i{Ys(`RNNCell_${a}`,()=>{n.build(e),Array.isArray(n.stateSize)?t=n.stateSize[0]:t=n.stateSize,e=[e[0],t]})}),this.built=!0}getConfig(){let e=super.getConfig(),t=a=>({className:a.getClassName(),config:a.getConfig()}),n={cells:this.cells.map(t)};return Object.assign(Object.assign({},e),n)}static fromConfig(e,t,n={}){let a=[];for(let r of t.cells)a.push(Ua(r,n));return new e({cells:a})}get trainableWeights(){if(!this.trainable)return[];let e=[];for(let t of this.cells)e.push(...t.trainableWeights);return e}get nonTrainableWeights(){let e=[];for(let t of this.cells)e.push(...t.nonTrainableWeights);if(!this.trainable){let t=[];for(let n of this.cells)t.push(...n.trainableWeights);return t.concat(e)}return e}getWeights(){let e=[];for(let t of this.cells)e.push(...t.weights);return qy(e)}setWeights(e){let t=[];for(let n of this.cells){let a=n.weights.length,r=e.splice(a);for(let s=0;ss!=null?s(t(),n):mN(t(),n),o=()=>Zc(i,t,a);return!r||r<=1?Jt(o().clone()):Array(r).fill(void 0).map(o).map(l=>Jt(l.clone()))}var WU=function(e,t){var n={};for(var a in e)Object.prototype.hasOwnProperty.call(e,a)&&t.indexOf(a)<0&&(n[a]=e[a]);if(e!=null&&typeof Object.getOwnPropertySymbols=="function")for(var r=0,a=Object.getOwnPropertySymbols(e);r{if(this.cell.dropoutMask!=null&&(_e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(_e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null),t&&t.constants)throw new V("ConvRNN2D cell does not support constants");let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}computeOutputShape(e){let t=this.computeSingleOutputShape(e);return this.returnSequences||(t=[t[0],...t.slice(2)]),this.returnState&&(t=[t,...Array(2).fill([e[0],...t.slice(-3)])]),t}getInitialState(e){return P(()=>{let{stateSize:t}=this.cell,n=e.shape,a=this.computeSingleOutputShape(n),r=[a[0],...a.slice(2)],s=It(r);return Array.isArray(t)?Array(t.length).fill(s):[s]})}resetStates(e,t=!1){P(()=>{if(!this.stateful)throw new Ir("Cannot call resetStates() on an RNN Layer that is not stateful.");let n=this.inputSpec[0].shape,a=this.computeSingleOutputShape(n),r=[a[0],...a.slice(2)];if(n[0]==null)throw new V("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(this.getStates()==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>It(r)):this.states_=[It(r)];else if(e==null)_e(this.states_),this.keptStates!=null&&(_e(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>It(r)):this.states_[0]=It(r);else{if(Array.isArray(e)||(e=[e]),e.length!==this.states_.length)throw new V(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${e.length} state value(s). Input received: ${e}`);t?this.keptStates.push(this.states_.slice()):_e(this.states_);for(let s=0;sJt(s.clone()))})}computeSingleOutputShape(e){let{dataFormat:t,filters:n,kernelSize:a,padding:r,strides:s,dilationRate:i}=this.cell,o=t==="channelsFirst",l=e[o?3:2],u=e[o?4:3],p=Ga(l,a[0],r,s[0],i[0]),d=Ga(u,a[1],r,s[1],i[1]);return[...e.slice(0,2),...o?[n,p,d]:[p,d,n]]}};a2.className="ConvRNN2D";var Gf=class extends rd{constructor(e){let{filters:t,kernelSize:n,strides:a,padding:r,dataFormat:s,dilationRate:i}=e;super(Object.assign(Object.assign({},e),{units:t})),this.filters=t,Qt(this.filters,"filters"),this.kernelSize=dl(n,2,"kernelSize"),this.kernelSize.forEach(o=>Qt(o,"kernelSize")),this.strides=dl(a||1,2,"strides"),this.strides.forEach(o=>Qt(o,"strides")),this.padding=r||"valid",xa(this.padding),this.dataFormat=s||"channelsLast",Rt(this.dataFormat),this.dilationRate=dl(i||1,2,"dilationRate"),this.dilationRate.forEach(o=>Qt(o,"dilationRate"))}build(e){var t;e=tt(e);let n=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[n]==null)throw new V(`The channel dimension of the input should be defined. Found ${e[n]}`);let a=e[n],r=4,s=this.kernelSize.concat([a,this.filters*r]);this.kernel=this.addWeight("kernel",s,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);let i=this.kernelSize.concat([this.filters,this.filters*r]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",i,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){let o;if(this.unitForgetBias){let l=this.biasInitializer,u=this.filters;o=new(t=class extends Ra{apply(p,d){let c=l.apply([u]),h=Jn([u]),m=l.apply([u*2]);return nw([c,h,m])}},t.className="CustomInit",t)}else o=this.biasInitializer;this.bias=this.addWeight("bias",[this.filters*r],null,o,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0}call(e,t){return P(()=>{if(e.length!==3)throw new V(`ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got ${e.length}.`);let n=t.training||!1,a=e[0],r=e[1],s=e[2],i=4;0na(a),rate:this.dropout,training:n,count:i,dropoutFunc:this.dropoutFunc}));let o=this.dropoutMask,l=(Z,Q,ee)=>!Q||!Q[ee]?Z:z(Q[ee],Z),u=l(a,o,0),p=l(a,o,1),d=l(a,o,2),c=l(a,o,3);0na(r),rate:this.recurrentDropout,training:n,count:i,dropoutFunc:this.dropoutFunc}));let h=this.recurrentDropoutMask,m=l(r,h,0),f=l(r,h,1),g=l(r,h,2),b=l(r,h,3),y=3,[x,w,I,T]=zn(this.kernel.read(),i,y),[C,E,A,R]=this.useBias?zn(this.bias.read(),i):[null,null,null,null];u=this.inputConv(u,x,C,this.padding),p=this.inputConv(p,w,E,this.padding),d=this.inputConv(d,I,A,this.padding),c=this.inputConv(c,T,R,this.padding);let[F,S,M,B]=zn(this.recurrentKernel.read(),i,y);m=this.recurrentConv(m,F),f=this.recurrentConv(f,S),g=this.recurrentConv(g,M),b=this.recurrentConv(b,B);let U=this.recurrentActivation.apply(Y(u,m)),G=this.recurrentActivation.apply(Y(p,f)),q=Y(z(G,s),z(U,this.activation.apply(Y(d,g)))),K=z(this.recurrentActivation.apply(Y(c,b)),this.activation.apply(q));return[K,K,q]})}getConfig(){let e=super.getConfig(),{units:t}=e,n=WU(e,["units"]),a={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign(Object.assign({},n),a)}inputConv(e,t,n,a){let r=$t(e,t,this.strides,a||"valid",this.dataFormat==="channelsFirst"?"NCHW":"NHWC",this.dilationRate);return n?Xa(r,n,this.dataFormat):r}recurrentConv(e,t){return $t(e,t,1,"same",this.dataFormat==="channelsFirst"?"NCHW":"NHWC")}};Gf.className="ConvLSTM2DCell";ne.registerClass(Gf);var Bw=class extends a2{constructor(e){let t=new Gf(e);super(Object.assign(Object.assign({},e),{cell:t}))}static fromConfig(e,t){return new e(t)}};Bw.className="ConvLSTM2D";ne.registerClass(Bw);var Hf=class extends Ge{constructor(e){super(e),this.rate=Math.max(Math.min(e.rate,1),0),this.noiseShape=e.noiseShape,this.seed=e.seed,this.supportsMasking=!0}getNoiseShape(e){if(this.noiseShape==null)return this.noiseShape;let t=e.shape,n=[];for(let a=0;a{this.invokeCallHook(e,t);let n=Ne(e);if(0mN(n,this.rate,r,this.seed),()=>n,a)}return e})}getConfig(){let e={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},t=super.getConfig();return Object.assign(e,t),e}dispose(){return super.dispose()}};Hf.className="Dropout";ne.registerClass(Hf);var Vw=class extends Hf{constructor(e){super(e),this.inputSpec=[{ndim:3}]}getNoiseShape(e){let t=e.shape;return[t[0],1,t[2]]}};Vw.className="SpatialDropout1D";ne.registerClass(Vw);var Uw=class extends Ge{constructor(e){if(super(e),this.activation=null,this.useBias=!0,this.kernel=null,this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",e.batchInputShape==null&&e.inputShape==null&&e.inputDim!=null){let t=null;e.batchSize!=null&&(t=e.batchSize),this.batchInputShape=[t,e.inputDim]}this.units=e.units,Qt(this.units,"units"),this.activation=ps(e.activation),e.useBias!=null&&(this.useBias=e.useBias),this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelConstraint=Kt(e.kernelConstraint),this.biasConstraint=Kt(e.biasConstraint),this.kernelRegularizer=Tt(e.kernelRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.activityRegularizer=Tt(e.activityRegularizer),this.supportsMasking=!0,this.inputSpec=[{minNDim:2}]}build(e){e=tt(e);let t=e[e.length-1];this.kernel==null&&(this.kernel=this.addWeight("kernel",[t,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:{[-1]:t}}],this.built=!0}computeOutputShape(e){e=tt(e);let t=e.slice();return t[t.length-1]=this.units,t}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ne(e),a=oN(this.activation.getClassName()),r;return a!=null?r=or(n,this.kernel.read(),a,this.bias?this.bias.read():null):(r=or(n,this.kernel.read()),this.bias!=null&&(r=Xa(r,this.bias.read())),this.activation!=null&&(r=this.activation.apply(r))),r})}getConfig(){let e={units:this.units,activation:us(this.activation),useBias:this.useBias,kernelInitializer:Ct(this.kernelInitializer),biasInitializer:Ct(this.biasInitializer),kernelRegularizer:pt(this.kernelRegularizer),biasRegularizer:pt(this.biasRegularizer),activityRegularizer:pt(this.activityRegularizer),kernelConstraint:qt(this.kernelConstraint),biasConstraint:qt(this.biasConstraint)},t=super.getConfig();return Object.assign(e,t),e}};Uw.className="Dense";ne.registerClass(Uw);var Gw=class extends Ge{constructor(e){e=e||{},super(e),this.inputSpec=[{minNDim:3}],this.dataFormat=e.dataFormat}computeOutputShape(e){e=tt(e);for(let t of e.slice(1))if(t==null)throw new V(`The shape of the input to "Flatten" is not fully defined (got ${e.slice(1)}). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.`);return[e[0],rs(e,1)]}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ne(e);if(this.dataFormat==="channelsFirst"&&n.rank>1){let a=[0];for(let r=2;r{this.invokeCallHook(e,t);let n=Ne(e);return this.activation.apply(n)})}getConfig(){let e={activation:us(this.activation)},t=super.getConfig();return Object.assign(e,t),e}};Hw.className="Activation";ne.registerClass(Hw);var jw=class extends Ge{constructor(e){super(e),this.n=e.n,this.inputSpec=[{ndim:2}]}computeOutputShape(e){return[e[0],this.n,e[1]]}call(e,t){return P(()=>(e=Ne(e),Q4(e,this.n)))}getConfig(){let e={n:this.n},t=super.getConfig();return Object.assign(e,t),e}};jw.className="RepeatVector";ne.registerClass(jw);var qw=class extends Ge{constructor(e){super(e),this.targetShape=e.targetShape;for(let t=0;t{this.invokeCallHook(e,t);let n=Ne(e),a=n.shape,r=a.slice(0,1).concat(this.fixUnknownDimension(a.slice(1),this.targetShape));return W(n,r)})}getConfig(){let e={targetShape:this.targetShape},t=super.getConfig();return Object.assign(e,t),e}};qw.className="Reshape";ne.registerClass(qw);var Kw=class extends Ge{constructor(e){if(super(e),e.dims==null)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(e.dims))throw new Error(`Permute constructor requires \`dims\` to be an Array, but received ${e.dims} instead.`);let t=Ha(1,e.dims.length+1);if(!v.arraysEqual(e.dims.slice().sort(),t))throw new Error("Invalid permutation `dims`: "+JSON.stringify(e.dims)+" `dims` must contain consecutive integers starting from 1.");this.dims=e.dims,this.dimsIncludingBatch=[0].concat(this.dims),this.inputSpec=[new zt({ndim:this.dims.length+1})]}computeOutputShape(e){e=tt(e);let t=e.slice();return this.dims.forEach((n,a)=>{t[a+1]=e[n]}),t}call(e,t){return Ee(Ne(e),this.dimsIncludingBatch)}getConfig(){let e={dims:this.dims},t=super.getConfig();return Object.assign(e,t),e}};Kw.className="Permute";ne.registerClass(Kw);var Xw=class extends Ge{constructor(e){super(e==null?{}:e),this.supportsMasking=!0,e!=null?this.maskValue=e.maskValue==null?0:e.maskValue:this.maskValue=0}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={maskValue:this.maskValue};return Object.assign(t,e),t}computeMask(e,t){let n=Ne(e),a=-1;return Qp(oi(n,this.maskValue),a)}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ne(e),a=-1,r=!0,s=Qp(oi(n,this.maskValue),a,r);return z(n,oe(s,n.dtype))})}};Xw.className="Masking";ne.registerClass(Xw);var Yw=class extends Ge{constructor(e){if(super(e),this.embeddings=null,this.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",e.batchInputShape==null&&e.inputShape==null){let t=null;e.batchSize!=null&&(t=e.batchSize),e.inputLength==null?this.batchInputShape=[t,null]:this.batchInputShape=[t].concat(xt(e.inputLength))}this.inputDim=e.inputDim,Qt(this.inputDim,"inputDim"),this.outputDim=e.outputDim,Qt(this.outputDim,"outputDim"),this.embeddingsInitializer=St(e.embeddingsInitializer||this.DEFAULT_EMBEDDINGS_INITIALIZER),this.embeddingsRegularizer=Tt(e.embeddingsRegularizer),this.activityRegularizer=Tt(e.activityRegularizer),this.embeddingsConstraint=Kt(e.embeddingsConstraint),this.maskZero=e.maskZero,this.supportsMasking=e.maskZero,this.inputLength=e.inputLength}build(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0}warnOnIncompatibleInputShape(e){}computeMask(e,t){return P(()=>this.maskZero?(e=Ne(e),oi(e,qe(e))):null)}computeOutputShape(e){if(e=tt(e),this.inputLength==null)return[...e,this.outputDim];let t=xt(this.inputLength);if(t.length!==e.length-1)throw new V(`"inputLength" is ${this.inputLength}, but received input shape has shape ${e}`);{let n=0;for(let a=0;a{this.invokeCallHook(e,t);let n=Ne(e);n.dtype!=="int32"&&(n=yo(n,"int32"));let a=hN(this.embeddings.read(),W(n,[n.size]));return W(a,tt(this.computeOutputShape(n.shape)))})}getConfig(){let e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:Ct(this.embeddingsInitializer),embeddingsRegularizer:pt(this.embeddingsRegularizer),activityRegularizer:pt(this.activityRegularizer),embeddingsConstraint:qt(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},t=super.getConfig();return Object.assign(e,t),e}};Yw.className="Embedding";ne.registerClass(Yw);var vo=class extends Ge{constructor(e){super(e||{}),this.supportsMasking=!0}mergeFunction(e){throw new Me}computeElementwiseOpOutputShape(e,t){if(e==null||t==null)return null;if(e.length1)throw new V(`Can not merge tensors with different batch sizes. Got tensors with shapes: ${JSON.stringify(e)}.`);let n=e[0]==null?null:e[0].slice(1);for(let r=1;rr.length);e.indexOf(null)===-1&&as(a).length===1?this.reshapeRequired=!1:this.reshapeRequired=!0}call(e,t){return P(()=>{if(e=e,this.reshapeRequired){let n=[],a=e.map(r=>r.rank);if(a.indexOf(null)===-1){let r=ls(a);for(let s of e){let i=s.rank;for(let o=0;o1){let u=Ha(1,l).concat([0]);n.push(Ee(o,u)),r=!0}else n.push(o)}let s=this.mergeFunction(n),i=s.rank;if(r){if(i==null){let o=s.shape,l=o.length,u=o[l-1],p=[u].concat(o.slice(0,o.length-1));s=W(Ee(W(s,[-1,u]),[1,0]),p)}else if(i>1){let o=[i-1].concat(Ha(0,i-1));s=Ee(s,o)}}return s}}else return this.mergeFunction(e)})}computeOutputShape(e){e=e;let t;e[0]==null?t=null:t=e[0].slice(1);for(let a=1;a{if(t==null)return null;if(!Array.isArray(t))throw new V("`mask` should be an Array");if(!Array.isArray(e))throw new V("`inputs` should be an Array");if(t.length!==e.length)throw new V(`The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths (${e.length} vs ${t.length})`);if(t.every(a=>a==null))return null;t=t.map(a=>a==null?a:Zt(a,0));let n=t[0];for(let a=1;a{let t=e[0].clone();for(let n=1;n{let t=e[0].clone();for(let n=1;n{let t=e[0].clone();for(let n=1;n{let t=e[0];for(let n=1;n{let t=e[0];for(let n=1;n1)throw new V("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))}mergeFunction(e){return P(()=>nw(e,this.axis))}computeOutputShape(e){if(!(Array.isArray(e)&&Array.isArray(e[0])))throw new V("A `Concatenate` layer should be called on a list of inputs.");let t=e,n=t[0].slice(),a=this.axis<0?n.length+this.axis:this.axis;for(let r of t.slice(1)){if(n[a]==null||r[a]==null){n[a]=null;break}n[a]+=r[a]}return n}computeMask(e,t){if(t==null)return null;if(!Array.isArray(t))throw new V("`mask` should be an array for Concatenate");if(!Array.isArray(e))throw new V("`inputs` should be an array for Concatenate");if(t.length!==e.length)throw new V(`Mismatch in the length of mask (${t.length}) and the legnth of inputs (${e.length})`);return P(()=>{let n=!0;if(t.forEach(s=>{if(s!=null){n=!1;return}}),n)return null;let a=[];for(let s=0;s3||t.shape.length>3)throw new Me("batchDot is not implemented for tensors of 4D or higher rank yet");if(v.assert(e.shape.length>=2,()=>`batchDot requires the rank of x to be >= 2, but got ${e.shape.length}`),v.assert(e.shape.length>=2,()=>`batchDot requires the rank of y to be >= 2, but got ${t.shape.length}`),typeof n=="number"&&(n=[n,n]),e.dtype==="complex64"||t.dtype==="complex64")throw new Me("batchDot is not implemented for complex64-type Tensors yet.");let a=e.shape.length,r=t.shape.length;n==null&&(n=[a-1,r-2]);let s=n;return P(()=>{let i;if(a>r){i=a-r;let l=[];for(let u=0;ua){i=r-a;let l=[];for(let u=0;u0){let l;a>r?l=a+r-3:l=a-1;let u=[];for(let p=l;p"A `Dot` layer should be called on a list of exactly 2 inputs.");let t=e[0],n=e[1];if(t.length>3||n.length>3)throw new Me("Dot layer does not support tensors of 4D or higher rank yet.");let a=this.interpretAxes(t,n);if(t[a[0]]!==n[a[1]])throw new V(`Dimension incompatibility: ${t[a[0]]} !== ${n[a[1]]}`)}mergeFunction(e){if(e.length!==2)throw new V(`A \`Dot\` layer must be called on exactly 2 inputs, but received ${e.length} input(s).`);let t=e[0],n=e[1],a;return Array.isArray(this.axes)?a=this.axes.map((r,s)=>Ap(r,e[s].shape.length)):a=[Ap(this.axes,t.shape.length),Ap(this.axes,n.shape.length)],this.normalize&&(t=Gh(t,a[0]),n=Gh(n,a[1])),BU(t,n,a)}interpretAxes(e,t){let n;return Array.isArray(this.axes)?n=this.axes:n=[Ap(this.axes,e.length),Ap(this.axes,t.length)],n}computeOutputShape(e){v.assert(Array.isArray(e)&&e.length===2&&Array.isArray(e[0])&&Array.isArray(e[1]),()=>"A `Dot` layer should be called on a list of exactly 2 inputs.");let t=e[0].slice(),n=e[1].slice();if(t.length>3||n.length>3)throw new Me("Dot layer does not support tensors of 4D or higher rank yet.");let a=this.interpretAxes(t,n);t.splice(a[0],1),n.splice(a[1],1),n.splice(0,1);let r=t.concat(n);return r.length===1&&r.push(1),r}computeMask(e,t){return null}getConfig(){let e={axes:this.axes,normalize:this.normalize},t=super.getConfig();return Object.assign(e,t),e}};a0.className="Dot";ne.registerClass(a0);var r0=class extends Ge{constructor(e){super(e),this.supportsMasking=!0,this.stddev=e.stddev}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={stddev:this.stddev};return Object.assign(t,e),t}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ne(e);return Zc(()=>Y(Ef(n.shape,0,this.stddev),n),()=>n,t.training||!1)})}};r0.className="GaussianNoise";ne.registerClass(r0);var s0=class extends Ge{constructor(e){super(e),this.supportsMasking=!0,this.rate=e.rate}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={rate:this.rate};return Object.assign(t,e),t}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ne(e);return this.rate>0&&this.rate<1?Zc(()=>{let a=Math.sqrt(this.rate/(1-this.rate));return z(n,Ef(n.shape,1,a))},()=>n,t.training||!1):n})}};s0.className="GaussianDropout";ne.registerClass(s0);var i0=class extends Ge{constructor(e){super(e),this.supportsMasking=!0,this.rate=e.rate,this.noiseShape=e.noiseShape}_getNoiseShape(e){return this.noiseShape||Ne(e).shape}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={rate:this.rate};return Object.assign(t,e),t}call(e,t){return P(()=>{if(this.rate<1&&this.rate>0){let n=this._getNoiseShape(e);return Zc(()=>{let a=Ne(e),r=1.6732632423543772,s=1.0507009873554805,i=-r*s,o=Fr(Uu(n),this.rate);o=yo(o,"float32");let l=((1-this.rate)*(1+this.rate*i**2))**-.5,u=-l*i*this.rate,p=Y(z(a,o),z(Y(o,-1),i));return Y(z(p,l),u)},()=>Ne(e),t.training||!1)}return e})}};i0.className="AlphaDropout";ne.registerClass(i0);function ac(e,t,n,a,r,s=.001){let i;if(e.rank===2)i=sv(e,t,n,a,r,s);else if(e.rank===3)i=iv(e,t,n,a,r,s);else if(e.rank===4)i=ov(e,t,n,a,r,s);else throw new Me(`batchNormalization is not implemented for array of rank ${e.rank} yet`);return i}function VU(e,t,n,a,r=.001){return P(()=>{let s=Bc(e,a),i=s.mean,o=s.variance;return[ac(e,i,o,n,t,r),i,o]})}function UU(e,t,n,a,r=.001){return P(()=>{let s=Bc(e,a),i=s.mean,o=s.variance,l=[];for(let h of Ha(0,e.rank))a.indexOf(h)!==-1?l.push(1):l.push(e.shape[h]);let u=W(i,l),p=W(o,l),d=t==null?null:W(t,l),c=n==null?null:W(n,l);return[ac(e,u,p,c,d,r),i,o]})}function GU(e,t,n,a,r=.001){return v.arraysEqual(a.slice().sort(),Ha(0,e.rank-1))?VU(e,t,n,a,r):UU(e,t,n,a,r)}var o0=class extends Ge{constructor(e){e==null&&(e={}),super(e),this.supportsMasking=!0,this.axis=e.axis==null?-1:e.axis,this.momentum=e.momentum==null?.99:e.momentum,this.epsilon=e.epsilon==null?.001:e.epsilon,this.center=e.center==null?!0:e.center,this.scale=e.scale==null?!0:e.scale,this.betaInitializer=St(e.betaInitializer||"zeros"),this.gammaInitializer=St(e.gammaInitializer||"ones"),this.movingMeanInitializer=St(e.movingMeanInitializer||"zeros"),this.movingVarianceInitializer=St(e.movingVarianceInitializer||"ones"),this.betaConstraint=Kt(e.betaConstraint),this.gammaConstraint=Kt(e.gammaConstraint),this.betaRegularizer=Tt(e.betaRegularizer),this.gammaRegularizer=Tt(e.gammaRegularizer)}build(e){e=tt(e);let t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(n==null)throw new V(`Axis ${t} of input tensor should have a defined dimension but the layer received an input with shape ${JSON.stringify(e)}.`);this.inputSpec=[new zt({ndim:e.length,axes:{[t]:n}})];let a=[n];this.scale&&(this.gamma=this.addWeight("gamma",a,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",a,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",a,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",a,null,this.movingVarianceInitializer,null,!1),this.built=!0}call(e,t){return P(()=>{let n=t.training==null?!1:t.training,a=Ne(e),r=a.shape,s=r.length,i=Ha(0,s),o=this.axis>=0?this.axis:this.axis+s;i.splice(o,1);let l=li(1,s);l[o]=r[o];let u=i.slice();u.sort();let p=!v.arraysEqual(u,Ha(0,s).slice(0,s-1)),d=()=>{if(p){let g=W(this.movingMean.read(),l),b=W(this.movingVariance.read(),l),y=this.center?W(this.beta.read(),l):null,x=this.scale?W(this.gamma.read(),l):null;return ac(a,g,b,y,x,this.epsilon)}else return ac(a,this.movingMean.read(),this.movingVariance.read(),this.beta==null?null:this.beta.read(),this.gamma==null?null:this.gamma.read(),this.epsilon)};if(!n)return d();let[c,h,m]=GU(a,this.gamma.read(),this.beta.read(),i,this.epsilon),f=(g,b,y)=>{P(()=>{let x=1-y,w=g.read(),I=z(pe(w,b),x);g.write(pe(w,I))})};return f(this.movingMean,h,this.momentum),f(this.movingVariance,m,this.momentum),c})}getConfig(){let e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:Ct(this.betaInitializer),gammaInitializer:Ct(this.gammaInitializer),movingMeanInitializer:Ct(this.movingMeanInitializer),movingVarianceInitializer:Ct(this.movingVarianceInitializer),betaRegularizer:pt(this.betaRegularizer),gammaRegularizer:pt(this.gammaRegularizer),betaConstraint:qt(this.betaConstraint),gammaConstraint:qt(this.gammaConstraint)},t=super.getConfig();return Object.assign(e,t),e}};o0.className="BatchNormalization";ne.registerClass(o0);var l0=class extends Ge{constructor(e){if(e==null&&(e={}),super(e),this.axis=e.axis==null?-1:e.axis,typeof this.axis=="number"){if(!Number.isInteger(this.axis))throw new Error(`Expected axis to be an integer, but received ${this.axis}`)}else if(Array.isArray(this.axis)){for(let t of this.axis)if(!Number.isInteger(t))throw new Error(`Expected axis to be an array of integers, but received ${JSON.stringify(this.axis)}`)}else throw new Error(`Expected axis to be an integer or an array of integers, but received ${JSON.stringify(this.axis)}`);this.epsilon=e.epsilon==null?.001:e.epsilon,this.center=e.center==null?!0:e.center,this.scale=e.scale==null?!0:e.scale,this.betaInitializer=St(e.betaInitializer||"zeros"),this.gammaInitializer=St(e.gammaInitializer||"ones"),this.betaRegularizer=Tt(e.betaRegularizer),this.gammaRegularizer=Tt(e.gammaRegularizer),this.supportsMasking=!0}build(e){e=tt(e);let t=e.length;typeof this.axis=="number"&&(this.axis=[this.axis]);for(let r=0;r=t)throw new Error(`Invalid axis: ${r}`);if(this.axis.length!==as(this.axis).length)throw new Error(`Found duplicate axes in: ${this.axis}`);let n=this.axis.map(r=>e[r]),a=!0;this.scale?this.gamma=this.addWeight("gamma",n,"float32",this.gammaInitializer,this.gammaRegularizer,a):this.gamma=null,this.center?this.beta=this.addWeight("beta",n,"float32",this.betaInitializer,this.betaRegularizer,a):this.beta=null,this.built=!0}call(e,t){let n=Ne(e),a=n.shape,r=a.length;return P(()=>{let{mean:s,variance:i}=Bc(n,this.axis,!0),o=li(1,r);for(let h of this.axis)o[h]=a[h];let l=h=>h!=null&&h.shape.length!==r?W(h,o):h,u=this.scale?l(this.gamma.read()):null,p=this.center?l(this.beta.read()):null,d=[],c=[];for(let h=0;h{if(e.rank!==4)throw new V(`temporalPadding expects input tensor to be 4-D, but received a ${e.rank}-D tensor.`);if(t==null&&(t=[[1,1],[1,1]]),t.length!==2||t[0].length!==2||t[1].length!==2)throw new V("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(n==null&&(n=ja()),n!=="channelsLast"&&n!=="channelsFirst")throw new V(`Unknown data format: ${n}. Supported data formats are 'channelsLast' and 'channelsFirst.`);let a;return n==="channelsFirst"?a=[[0,0],[0,0],t[0],t[1]]:a=[[0,0],t[0],t[1],[0,0]],ya(e,a)})}var u0=class extends Ge{constructor(e){if(e==null&&(e={}),super(e),this.dataFormat=e.dataFormat==null?ja():e.dataFormat,e.padding==null)this.padding=[[1,1],[1,1]];else if(typeof e.padding=="number")this.padding=[[e.padding,e.padding],[e.padding,e.padding]];else{if(e.padding=e.padding,e.padding.length!==2)throw new V(`ZeroPadding2D expects padding to be a length-2 array, but received a length-${e.padding.length} array.`);let t,n;if(typeof e.padding[0]=="number")t=[e.padding[0],e.padding[0]],n=[e.padding[1],e.padding[1]];else{if(e.padding=e.padding,e.padding[0].length!==2)throw new V(`ZeroPadding2D expects height padding to be a length-2 array, but received a length-${e.padding[0].length} array.`);if(t=e.padding[0],e.padding[1].length!==2)throw new V(`ZeroPadding2D expects width padding to be a length-2 array, but received a length-${e.padding[1].length} array.`);n=e.padding[1]}this.padding=[t,n]}this.inputSpec=[new zt({ndim:4})]}computeOutputShape(e){e=tt(e);let t,n;return this.dataFormat==="channelsFirst"?(e[2]!=null&&e[2]>=0?t=e[2]+this.padding[0][0]+this.padding[0][1]:t=null,e[3]!=null&&e[3]>=0?n=e[3]+this.padding[1][0]+this.padding[1][1]:n=null,[e[0],e[1],t,n]):(e[1]!=null&&e[1]>=0?t=e[1]+this.padding[0][0]+this.padding[0][1]:t=null,e[2]!=null&&e[2]>=0?n=e[2]+this.padding[1][0]+this.padding[1][1]:n=null,[e[0],t,n,e[3]])}call(e,t){return P(()=>HU(Ne(e),this.padding,this.dataFormat))}getConfig(){let e={padding:this.padding,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}};u0.className="ZeroPadding2D";ne.registerClass(u0);function jf(e,t,n,a,r,s){return P(()=>{Rt(r),uN(s),xa(a),n==null&&(n=[1,1]),a==null&&(a="valid"),r==null&&(r=ja()),s==null&&(s="max"),e=Aw(e,r);let i,o=a==="same"?"same":"valid";return s==="max"?i=Dt(e,t,n,o):i=ba(e,t,n,o),r==="channelsFirst"&&(i=Ee(i,[0,3,1,2])),i})}function r2(e,t,n,a,r,s){return P(()=>{Rt(r),uN(s),xa(a),n==null&&(n=[1,1,1]),a==null&&(a="valid"),r==null&&(r=ja()),s==null&&(s="max"),e=QN(e,r);let i,o=a==="same"?"same":"valid";return s==="max"?i=Fv(e,t,n,o):i=rv(e,t,n,o),r==="channelsFirst"&&(i=Ee(i,[0,4,1,2,3])),i})}var s2=class extends Ge{constructor(e){if(e.poolSize==null&&(e.poolSize=2),super(e),typeof e.poolSize=="number")this.poolSize=[e.poolSize];else if(Array.isArray(e.poolSize)&&e.poolSize.length===1&&typeof e.poolSize[0]=="number")this.poolSize=e.poolSize;else throw new V(`poolSize for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(e.poolSize)}`);if(Qt(this.poolSize,"poolSize"),e.strides==null)this.strides=this.poolSize;else if(typeof e.strides=="number")this.strides=[e.strides];else if(Array.isArray(e.strides)&&e.strides.length===1&&typeof e.strides[0]=="number")this.strides=e.strides;else throw new V(`strides for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(e.strides)}`);Qt(this.strides,"strides"),this.padding=e.padding==null?"valid":e.padding,xa(this.padding),this.inputSpec=[new zt({ndim:3})]}computeOutputShape(e){e=tt(e);let t=Ga(e[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]}call(e,t){return P(()=>{this.invokeCallHook(e,t),e=Xc(Ne(e),2);let n=this.poolingFunction(Ne(e),[this.poolSize[0],1],[this.strides[0],1],this.padding,"channelsLast");return Ns(n,[2])})}getConfig(){let e={poolSize:this.poolSize,padding:this.padding,strides:this.strides},t=super.getConfig();return Object.assign(e,t),e}},p0=class extends s2{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Rt(r),xa(a),jf(e,t,n,a,r,"max")}};p0.className="MaxPooling1D";ne.registerClass(p0);var c0=class extends s2{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Rt(r),xa(a),jf(e,t,n,a,r,"avg")}};c0.className="AveragePooling1D";ne.registerClass(c0);var i2=class extends Ge{constructor(e){if(e.poolSize==null&&(e.poolSize=[2,2]),super(e),this.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize],e.strides==null)this.strides=this.poolSize;else if(Array.isArray(e.strides)){if(e.strides.length!==2)throw new V(`If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length ${e.strides.length}.`);this.strides=e.strides}else this.strides=[e.strides,e.strides];Qt(this.poolSize,"poolSize"),Qt(this.strides,"strides"),this.padding=e.padding==null?"valid":e.padding,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Rt(this.dataFormat),xa(this.padding),this.inputSpec=[new zt({ndim:4})]}computeOutputShape(e){e=tt(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2];return t=Ga(t,this.poolSize[0],this.padding,this.strides[0]),n=Ga(n,this.poolSize[1],this.padding,this.strides[1]),this.dataFormat==="channelsFirst"?[e[0],e[1],t,n]:[e[0],t,n,e[3]]}call(e,t){return P(()=>(this.invokeCallHook(e,t),this.poolingFunction(Ne(e),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}},d0=class extends i2{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Rt(r),xa(a),jf(e,t,n,a,r,"max")}};d0.className="MaxPooling2D";ne.registerClass(d0);var h0=class extends i2{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Rt(r),xa(a),jf(e,t,n,a,r,"avg")}};h0.className="AveragePooling2D";ne.registerClass(h0);var o2=class extends Ge{constructor(e){if(e.poolSize==null&&(e.poolSize=[2,2,2]),super(e),this.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize,e.poolSize],e.strides==null)this.strides=this.poolSize;else if(Array.isArray(e.strides)){if(e.strides.length!==3)throw new V(`If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length ${e.strides.length}.`);this.strides=e.strides}else this.strides=[e.strides,e.strides,e.strides];Qt(this.poolSize,"poolSize"),Qt(this.strides,"strides"),this.padding=e.padding==null?"valid":e.padding,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Rt(this.dataFormat),xa(this.padding),this.inputSpec=[new zt({ndim:5})]}computeOutputShape(e){e=tt(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2],a=this.dataFormat==="channelsFirst"?e[4]:e[3];return t=Ga(t,this.poolSize[0],this.padding,this.strides[0]),n=Ga(n,this.poolSize[1],this.padding,this.strides[1]),a=Ga(a,this.poolSize[2],this.padding,this.strides[2]),this.dataFormat==="channelsFirst"?[e[0],e[1],t,n,a]:[e[0],t,n,a,e[4]]}call(e,t){return P(()=>(this.invokeCallHook(e,t),this.poolingFunction(Ne(e),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}},m0=class extends o2{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Rt(r),xa(a),r2(e,t,n,a,r,"max")}};m0.className="MaxPooling3D";ne.registerClass(m0);var f0=class extends o2{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Rt(r),xa(a),r2(e,t,n,a,r,"avg")}};f0.className="AveragePooling3D";ne.registerClass(f0);var l2=class extends Ge{constructor(e){super(e),this.inputSpec=[new zt({ndim:3})]}computeOutputShape(e){return[e[0],e[2]]}call(e,t){throw new Me}},g0=class extends l2{constructor(e){super(e||{})}call(e,t){return P(()=>{let n=Ne(e);return Nt(n,1)})}};g0.className="GlobalAveragePooling1D";ne.registerClass(g0);var b0=class extends l2{constructor(e){super(e||{})}call(e,t){return P(()=>{let n=Ne(e);return ma(n,1)})}};b0.className="GlobalMaxPooling1D";ne.registerClass(b0);var u2=class extends Ge{constructor(e){super(e),this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Rt(this.dataFormat),this.inputSpec=[new zt({ndim:4})]}computeOutputShape(e){return e=e,this.dataFormat==="channelsLast"?[e[0],e[3]]:[e[0],e[1]]}call(e,t){throw new Me}getConfig(){let e={dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}},y0=class extends u2{call(e,t){return P(()=>{let n=Ne(e);return this.dataFormat==="channelsLast"?Nt(n,[1,2]):Nt(n,[2,3])})}};y0.className="GlobalAveragePooling2D";ne.registerClass(y0);var x0=class extends u2{call(e,t){return P(()=>{let n=Ne(e);return this.dataFormat==="channelsLast"?ma(n,[1,2]):ma(n,[2,3])})}};x0.className="GlobalMaxPooling2D";ne.registerClass(x0);var p2=class extends Ge{constructor(e){super(e),this.layer=e.layer}build(e){this.built=!0}get trainable(){return this.layer!=null?this.layer.trainable:!1}set trainable(e){this.layer!=null&&(this.layer.trainable=e)}get trainableWeights(){return this.layer.trainableWeights}get nonTrainableWeights(){return this.layer.nonTrainableWeights}get updates(){return this.layer._updates}get losses(){return this.layer.losses}getWeights(){return this.layer.getWeights()}setWeights(e){this.layer.setWeights(e)}getConfig(){let e={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},t=super.getConfig();return Object.assign(e,t),e}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),this.layer!=null&&this.layer.setFastWeightInitDuringBuild(e)}static fromConfig(e,t,n={}){let a=t.layer,r=Ua(a,n);delete t.layer;let s={layer:r};return Object.assign(s,t),new e(s)}},v0=class extends p2{constructor(e){super(e),this.supportsMasking=!0}build(e){if(e=tt(e),e.length<3)throw new V(`TimeDistributed layer expects an input shape >= 3D, but received input shape ${JSON.stringify(e)}`);this.inputSpec=[{shape:e}];let t=[e[0]].concat(e.slice(2));this.layer.built||(this.layer.build(t),this.layer.built=!0),super.build(e)}computeOutputShape(e){e=tt(e);let t=[e[0]].concat(e.slice(2)),n=this.layer.computeOutputShape(t),a=e[1];return[n[0],a].concat(n.slice(1))}call(e,t){return P(()=>(e=Ne(e),n2((n,a)=>[Ne(this.layer.call(n,t)),[]],e,[],!1,null,null,!1,!0)[1]))}};v0.className="TimeDistributed";ne.registerClass(v0);function jU(e){bo(K4,"BidirectionalMergeMode",e)}var qU="concat",w0=class extends p2{constructor(e){super(e);let t=e.layer.getConfig(),n={};n.className=e.layer.getClassName(),n.config=t,this.forwardLayer=Ua(n),t.goBackwards=t.goBackwards!==!0;let a={};if(a.className=e.layer.getClassName(),a.config=t,this.backwardLayer=Ua(a),this.forwardLayer.name="forward_"+this.forwardLayer.name,this.backwardLayer.name="backward_"+this.backwardLayer.name,this.mergeMode=e.mergeMode===void 0?qU:e.mergeMode,jU(this.mergeMode),e.weights)throw new Me("weights support is not implemented for Bidirectional layer yet.");this._stateful=e.layer.stateful,this.returnSequences=e.layer.returnSequences,this.returnState=e.layer.returnState,this.supportsMasking=!0,this._trainable=!0,this.inputSpec=e.layer.inputSpec,this.numConstants=null}get trainable(){return this._trainable}set trainable(e){this._trainable=e,this.forwardLayer!=null&&(this.forwardLayer.trainable=e),this.backwardLayer!=null&&(this.backwardLayer.trainable=e)}getWeights(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())}setWeights(e){let t=e.length,n=Math.floor(t/2);this.forwardLayer.setWeights(e.slice(0,n)),this.backwardLayer.setWeights(e.slice(n))}computeOutputShape(e){let t=this.forwardLayer.computeOutputShape(e);Array.isArray(t)&&Array.isArray(t[0])||(t=[t]),t=t;let n,a,r;return this.returnState&&(r=t.slice(1)),n=t[0],n=n,this.mergeMode==="concat"?(n[n.length-1]*=2,a=[n]):this.mergeMode==null?a=[n,n.slice()]:a=[n],this.returnState?this.mergeMode==null?a.concat(r).concat(r.slice()):[n].concat(r).concat(r.slice()):On(a)}apply(e,t){let n=t==null?null:t.initialState,a=t==null?null:t.constants;t==null&&(t={});let r=t2(e,n,a,this.numConstants);if(e=r.inputs,n=r.initialState,a=r.constants,Array.isArray(e)&&(n=e.slice(1),e=e[0]),(n==null||n.length===0)&&a==null)return super.apply(e,t);let s=[],i=[];if(n!=null){let l=n.length;if(l%2>0)throw new V("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");t.initialState=n,s.push(...n);let u=n.map(p=>new zt({shape:p.shape}));this.forwardLayer.stateSpec=u.slice(0,l/2),this.backwardLayer.stateSpec=u.slice(l/2),i.push(...u)}if(a!=null)throw new Me("Support for constants in Bidirectional layers is not implemented yet.");let o=s[0]instanceof Ba;for(let l of s)if(l instanceof Ba!==o)throw new V("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors");if(o){let l=[e].concat(s),u=this.inputSpec.concat(i),p=this.inputSpec;this.inputSpec=u;let d=super.apply(l,t);return this.inputSpec=p,d}else return super.apply(e,t)}call(e,t){return P(()=>{let n=t.initialState,a,r;if(n==null)a=this.forwardLayer.call(e,t),r=this.backwardLayer.call(e,t);else{let o=n.slice(0,n.length/2),l=n.slice(n.length/2);a=this.forwardLayer.call(e,Object.assign(t,{initialState:o})),r=this.backwardLayer.call(e,Object.assign(t,{initialState:l}))}let s;this.returnState&&(Array.isArray(a)&&(s=a.slice(1).concat(r.slice(1))),a=a[0],r=r[0]),this.returnSequences&&(r=ga(r,1));let i;return this.mergeMode==="concat"?i=nw([a,r]):this.mergeMode==="sum"?i=Y(a,r):this.mergeMode==="ave"?i=z(.5,Y(a,r)):this.mergeMode==="mul"?i=z(a,r):this.mergeMode==null&&(i=[a,r]),this.returnState?this.mergeMode==null?i.concat(s):[i].concat(s):i})}resetStates(e){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()}build(e){Ys(this.forwardLayer.name,()=>{this.forwardLayer.build(e)}),Ys(this.backwardLayer.name,()=>{this.backwardLayer.build(e)}),this.built=!0}computeMask(e,t){Array.isArray(t)&&(t=t[0]);let n;if(this.returnSequences?this.mergeMode==null?n=[t,t]:n=t:this.mergeMode==null?n=[null,null]:n=null,this.returnState){let a=this.forwardLayer.states.map(r=>null);return Array.isArray(n)?n.concat(a).concat(a):[n].concat(a).concat(a)}else return n}get trainableWeights(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)}get nonTrainableWeights(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),this.forwardLayer!=null&&this.forwardLayer.setFastWeightInitDuringBuild(e),this.backwardLayer!=null&&this.backwardLayer.setFastWeightInitDuringBuild(e)}getConfig(){let e={mergeMode:this.mergeMode},t=super.getConfig();return Object.assign(e,t),e}static fromConfig(e,t){let n=Ua(t.layer);if(delete t.layer,t.numConstants!=null)throw new Me("Deserialization of a Bidirectional layer with numConstants present is not supported yet.");let a=t;return a.layer=n,new e(a)}};w0.className="Bidirectional";ne.registerClass(w0);var k0=class extends Ge{constructor(e){super(e),this.scale=e.scale,e.offset?this.offset=e.offset:this.offset=0}getConfig(){let e={scale:this.scale,offset:this.offset},t=super.getConfig();return Object.assign(e,t),e}call(e,t){return P(()=>(e=Ne(e),e.dtype!=="float32"&&(e=yo(e,"float32")),Y(z(e,this.scale),this.offset)))}};k0.className="Rescaling";ne.registerClass(k0);var KU=["bilinear","nearest"],qk=new Set(KU),I0=class extends Ge{constructor(e){if(super(e),this.height=e.height,this.width=e.width,e.interpolation)if(qk.has(e.interpolation))this.interpolation=e.interpolation;else throw new V(`Invalid interpolation parameter: ${e.interpolation} is not implemented`);else this.interpolation="bilinear";this.cropToAspectRatio=Boolean(e.cropToAspectRatio)}computeOutputShape(e){e=tt(e);let t=e[2];return[this.height,this.width,t]}getConfig(){let e={height:this.height,width:this.width,interpolation:this.interpolation,cropToAspectRatio:this.cropToAspectRatio},t=super.getConfig();return Object.assign(e,t),e}call(e,t){return P(()=>{let n=[this.height,this.width];if(this.interpolation==="bilinear")return za.resizeBilinear(e,n,!this.cropToAspectRatio);if(this.interpolation==="nearest")return za.resizeNearestNeighbor(e,n,!this.cropToAspectRatio);throw new Error(`Interpolation is ${this.interpolation} but only ${[...qk]} are supported`)})}};I0.className="Resizing";ne.registerClass(I0);function XU(e,t,n,a){let r=Ne(e);if(r.dtype!=="int32"&&(r=yo(r,"int32")),t==="int")return r;let s=r.shape;if(r.rank===0&&(r=Zt(r,-1)),t==="oneHot"&&r.shape[r.shape.length-1]!==1&&(r=Zt(r,-1)),r.rank>2)throw new V(`When outputMode is not int, maximum output rank is 2 Received outputMode ${t} and input shape ${s} which would result in output rank ${r.rank}.`);let i=["multiHot","oneHot"].includes(t),o=r,l;if(typeof a!="undefined"&&t==="count"?l=zh(o,a,n,i):l=zh(o,[],n,i),t!=="tfIdf")return l;if(a)return z(l,a);throw new V("When outputMode is 'tfIdf', weights must be provided.")}var S0=class extends Ge{constructor(e){super(e),this.numTokens=e.numTokens,e.outputMode?this.outputMode=e.outputMode:this.outputMode="multiHot"}getConfig(){let e={numTokens:this.numTokens,outputMode:this.outputMode},t=super.getConfig();return Object.assign(e,t),e}computeOutputShape(e){return e=tt(e),e==null?[this.numTokens]:this.outputMode==="oneHot"&&e[e.length-1]!==1?(e.push(this.numTokens),e):(e[e.length-1]=this.numTokens,e)}call(e,t){return P(()=>{e=Ne(e),e.dtype!=="int32"&&(e=yo(e,"int32"));let n;if(typeof t.countWeights!="undefined"){if(this.outputMode!=="count")throw new V(`countWeights is not used when outputMode !== count. + Received countWeights=${t.countWeights}`);n=Ne(t.countWeights)}let a=ma(e),r=yl(e),s=Cn(this.numTokens,a).bufferSync().get(0),i=Fr(r,0).bufferSync().get(0);if(!(s&&i))throw new V(`Input values must be between 0 < values <= numTokens with numTokens=${this.numTokens}`);return XU(e,this.outputMode,this.numTokens,n)})}};S0.className="CategoryEncoding";ne.registerClass(S0);function YU(e){return new Hu(e)}function ZU(e){return new Cw(e)}function JU(e){return new Sw(e)}function QU(e){return new Tw(e)}function eG(e){return new Nw(e)}function tG(e){return new Ew(e)}function nG(e){return new _w(e)}function aG(e){return new Wf(e)}function rG(e){return new td(e)}function sG(e){return new Fw(e)}function iG(e){return new nd(e)}function oG(e){return new Dw(e)}function lG(e){return new Rw(e)}function uG(e){return new Mw(e)}function pG(e){return new Pw(e)}function cG(e){return new Ow(e)}function dG(e){return new Hw(e)}function hG(e){return new Uw(e)}function mG(e){return new Hf(e)}function fG(e){return new Vw(e)}function gG(e){return new Gw(e)}function bG(e){return new jw(e)}function yG(e){return new qw(e)}function xG(e){return new Kw(e)}function vG(e){return new Yw(e)}function wG(e){return new Zw(e)}function kG(e){return new Qw(e)}function IG(e){return new n0(e)}function SG(e){return new e0(e)}function TG(e){return new t0(e)}function NG(e){return new Jw(e)}function CG(e){return new a0(e)}function _G(e){return new o0(e)}function EG(e){return new l0(e)}function AG(e){return new u0(e)}function T0(e){return new c0(e)}function $G(e){return T0(e)}function FG(e){return T0(e)}function N0(e){return new h0(e)}function DG(e){return N0(e)}function RG(e){return N0(e)}function C0(e){return new f0(e)}function MG(e){return C0(e)}function PG(e){return C0(e)}function OG(e){return new g0(e)}function LG(e){return new y0(e)}function c2(e){return new b0(e)}function d2(e){return new x0(e)}function h2(e){return new p0(e)}function m2(e){return new d0(e)}function zG(e){return new m0(e)}function WG(e){return new zw(e)}function BG(e){return new Vf(e)}function VG(e){return new Ww(e)}function UG(e){return new rd(e)}function GG(e){return new Lw(e)}function HG(e){return new Bf(e)}function jG(e){return new Bw(e)}function qG(e){return new Gf(e)}function KG(e){return new mr(e)}function XG(e){return new Uf(e)}function YG(e){return new w0(e)}function ZG(e){return new v0(e)}var JG=c2,QG=d2,eH=h2,tH=m2;function nH(e){return new r0(e)}function aH(e){return new s0(e)}function rH(e){return new i0(e)}function sH(e){return new Xw(e)}function iH(e){return new k0(e)}function oH(e){return new I0(e)}function lH(e){return new S0(e)}var f2={};Ae(f2,{MAPE:()=>xH,MSE:()=>kH,binaryAccuracy:()=>uH,binaryCrossentropy:()=>pH,categoricalAccuracy:()=>dH,categoricalCrossentropy:()=>hH,cosineProximity:()=>gH,mape:()=>vH,meanAbsoluteError:()=>bH,meanAbsolutePercentageError:()=>yH,meanSquaredError:()=>wH,mse:()=>IH,precision:()=>mH,recall:()=>fH,sparseCategoricalAccuracy:()=>cH});function uH(e,t){return bw(e,t)}function pH(e,t){return EN(e,t)}function cH(e,t){return AN(e,t)}function dH(e,t){return yw(e,t)}function hH(e,t){return xw(e,t)}function mH(e,t){return _N(e,t)}function fH(e,t){return JV(e,t)}function gH(e,t){return gw(e,t)}function bH(e,t){return Lf(e,t)}function yH(e,t){return ju(e,t)}function xH(e,t){return ju(e,t)}function vH(e,t){return ju(e,t)}function wH(e,t){return xo(e,t)}function kH(e,t){return xo(e,t)}function IH(e,t){return xo(e,t)}var g2={};Ae(g2,{modelFromJSON:()=>_U});var b2={};Ae(b2,{l1:()=>TH,l1l2:()=>SH,l2:()=>NH});function SH(e){return new Qc(e)}function TH(e){return MU(e)}function NH(e){return PU(e)}var y2=class extends Sl{constructor(){super(...arguments),this.model=null}setModel(e){if(!(e instanceof Er))throw new Error("model must be a LayersModel, not some other Container");this.model=e}};function ch(e,t){return et}var x2=class extends y2{constructor(e){if(super(),e==null&&(e={}),e.restoreBestWeights)throw new Me("restoreBestWeights = True is not implemented in EarlyStopping yet.");this.monitor=e.monitor||"val_loss",this.minDelta=Math.abs(e.minDelta||0),this.patience=e.patience||0,this.verbose=e.verbose||0,this.mode=e.mode||"auto",this.baseline=e.baseline,["auto","min","max"].indexOf(this.mode)===-1&&(console.warn(`EarlyStopping mode '${this.mode}' is invalid. Falling back to mode 'auto'.`),this.mode="auto"),this.mode==="min"?this.monitorFunc=ch:this.mode==="max"?this.monitorFunc=Kk:this.monitor.indexOf("acc")!==-1?this.monitorFunc=Kk:this.monitorFunc=ch,this.monitorFunc===ch&&(this.minDelta*=-1)}async onTrainBegin(e){this.wait=0,this.stoppedEpoch=0,this.baseline!=null?this.best=this.baseline:this.best=this.monitorFunc===ch?1/0:-1/0}async onEpochEnd(e,t){await Zr(t);let n=this.getMonitorValue(t);n!=null&&(this.monitorFunc(n-this.minDelta,this.best)?(this.best=n,this.wait=0):(this.wait++,this.wait>=this.patience&&(this.stoppedEpoch=e,this.model.stopTraining=!0)))}async onTrainEnd(e){this.stoppedEpoch>0&&this.verbose&&console.log(`Epoch ${this.stoppedEpoch}: early stopping.`)}getMonitorValue(e){e==null&&(e={});let t=e[this.monitor];return t==null&&console.warn(`Metric for EarlyStopping ${this.monitor} is not available. Available metrics are: ${Object.keys(e)}`),t}};function CH(e){return new x2(e)}var _H={earlyStopping:CH},EH=H();EH.registerFlag("KEEP_INTERMEDIATE_TENSORS",()=>!1,e=>{e&&console.warn("Keep intermediate tensors is ON. This will print the values of all intermediate tensors during model inference. Not all models support this mode. For details, check e2e/benchmarks/ model_config.js. This significantly impacts performance.")});var Na;(function(e){e[e.DT_INVALID=0]="DT_INVALID",e[e.DT_FLOAT=1]="DT_FLOAT",e[e.DT_DOUBLE=2]="DT_DOUBLE",e[e.DT_INT32=3]="DT_INT32",e[e.DT_UINT8=4]="DT_UINT8",e[e.DT_INT16=5]="DT_INT16",e[e.DT_INT8=6]="DT_INT8",e[e.DT_STRING=7]="DT_STRING",e[e.DT_COMPLEX64=8]="DT_COMPLEX64",e[e.DT_INT64=9]="DT_INT64",e[e.DT_BOOL=10]="DT_BOOL",e[e.DT_QINT8=11]="DT_QINT8",e[e.DT_QUINT8=12]="DT_QUINT8",e[e.DT_QINT32=13]="DT_QINT32",e[e.DT_BFLOAT16=14]="DT_BFLOAT16",e[e.DT_QINT16=15]="DT_QINT16",e[e.DT_QUINT16=16]="DT_QUINT16",e[e.DT_UINT16=17]="DT_UINT16",e[e.DT_COMPLEX128=18]="DT_COMPLEX128",e[e.DT_HALF=19]="DT_HALF",e[e.DT_RESOURCE=20]="DT_RESOURCE",e[e.DT_VARIANT=21]="DT_VARIANT",e[e.DT_UINT32=22]="DT_UINT32",e[e.DT_UINT64=23]="DT_UINT64",e[e.DT_FLOAT_REF=101]="DT_FLOAT_REF",e[e.DT_DOUBLE_REF=102]="DT_DOUBLE_REF",e[e.DT_INT32_REF=103]="DT_INT32_REF",e[e.DT_UINT8_REF=104]="DT_UINT8_REF",e[e.DT_INT16_REF=105]="DT_INT16_REF",e[e.DT_INT8_REF=106]="DT_INT8_REF",e[e.DT_STRING_REF=107]="DT_STRING_REF",e[e.DT_COMPLEX64_REF=108]="DT_COMPLEX64_REF",e[e.DT_INT64_REF=109]="DT_INT64_REF",e[e.DT_BOOL_REF=110]="DT_BOOL_REF",e[e.DT_QINT8_REF=111]="DT_QINT8_REF",e[e.DT_QUINT8_REF=112]="DT_QUINT8_REF",e[e.DT_QINT32_REF=113]="DT_QINT32_REF",e[e.DT_BFLOAT16_REF=114]="DT_BFLOAT16_REF",e[e.DT_QINT16_REF=115]="DT_QINT16_REF",e[e.DT_QUINT16_REF=116]="DT_QUINT16_REF",e[e.DT_UINT16_REF=117]="DT_UINT16_REF",e[e.DT_COMPLEX128_REF=118]="DT_COMPLEX128_REF",e[e.DT_HALF_REF=119]="DT_HALF_REF",e[e.DT_RESOURCE_REF=120]="DT_RESOURCE_REF",e[e.DT_VARIANT_REF=121]="DT_VARIANT_REF",e[e.DT_UINT32_REF=122]="DT_UINT32_REF",e[e.DT_UINT64_REF=123]="DT_UINT64_REF"})(Na||(Na={}));var Xk;(function(e){let t;(function(n){n[n.LEGACY=0]="LEGACY",n[n.V1=1]="V1",n[n.V2=2]="V2"})(t=e.CheckpointFormatVersion||(e.CheckpointFormatVersion={}))})(Xk||(Xk={}));var _0={};function AH(e,t){let n={tfOpName:e,category:"custom",inputs:[],attrs:[],customExecutor:t};_0[e]=n}function v2(e){return _0[e]}function $H(e){delete _0[e]}function k(e,t,n,a,r){let s=t.inputParams[e];if(s&&s.inputIndexStart!==void 0){let o=s.inputIndexStart,l=s.inputIndexEnd===0?void 0:s.inputIndexEnd===void 0?o+1:s.inputIndexEnd;if(s.type==="tensor")return wn(t.inputNames[s.inputIndexStart],n,a,r);if(s.type==="tensors")return t.inputNames.slice(o,l).map(d=>wn(d,n,a,r));let u=wn(t.inputNames.slice(o)[0],n,a,r),p=u.dataSync();return s.type==="number"?p[0]:v.toNestedArray(u.shape,p)}let i=t.attrParams[e];return i&&i.value}function wn(e,t,n,a){let[r,s]=Yn(e);if(a!=null){let o=a.getHashTableHandleByName(r);if(o!=null)return o}let i=n.currentContextIds.find(o=>!!t[Xh(r,o)]);return i!==void 0?t[Xh(r,i)][s]:void 0}function FH(e,t,n){return t[Xh(e,n.currentContextId)]}function sr(e,t){let[n,a,r]=Yn(e);return[Xh(n,t&&t.currentContextId),a,r]}function Xh(e,t){return t?`${e}-${t}`:e}function Yn(e){let t=e.split(":");if(t.length===1)return[e,0,void 0];let n=t[0],a=t.length===3?t[1]:void 0,r=Number(t[t.length-1]);return[n,r,a]}function vh(e,t,n){let a=k("pad",e,t,n);if(a==="explicit"){a=k("explicitPaddings",e,t,n);let r=[[0,0],[0,0],[0,0],[0,0]];for(let s=0;s<4;s++)r[s][0]=a[s*2],r[s][1]=a[s*2+1];return r}return a}function Tr(e){return e.kept?e:ir(e)}var w2={};Ae(w2,{json:()=>DH});var DH=[{tfOpName:"Add",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddV2",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddN",category:"arithmetic",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"BiasAdd",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"Sub",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"RealDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Div",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"DivNoNan",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mul",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Maximum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Minimum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Pow",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SquaredDifference",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorMod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],k2={};Ae(k2,{json:()=>RH});var RH=[{tfOpName:"Abs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan2",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Ceil",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ClipByValue",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"clipValueMin",type:"number"},{start:2,name:"clipValueMax",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Complex",category:"basic_math",inputs:[{start:0,name:"real",type:"tensor"},{start:1,name:"imag",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ComplexAbs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Elu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Exp",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Floor",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Imag",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Neg",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Real",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Prelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"alpha",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu6",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Selu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sigmoid",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Rsqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Square",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sign",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Round",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Expm1",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log1p",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Reciprocal",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Softplus",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Erf",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Prod",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axes",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LeakyRelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"alpha",name:"alpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"IsNan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],I2={};Ae(I2,{json:()=>MH});var MH=[{tfOpName:"EmptyTensorList",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"maxNumElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"LoopCond",category:"control",inputs:[{start:0,name:"pred",type:"tensor"}]},{tfOpName:"Switch",category:"control",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"pred",type:"tensor"}]},{tfOpName:"Merge",category:"control",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"Enter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"frame_name",name:"frameName",type:"string"},{tfName:"is_constant",name:"isConstant",type:"bool"}]},{tfOpName:"Exit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NextIteration",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayV3",category:"control",inputs:[{start:0,name:"size",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"dynamic_size",name:"dynamicSize",type:"bool"},{tfName:"clear_after_read",name:"clearAfterRead",type:"bool"},{tfName:"identical_element_shapes",name:"identicalElementShapes",type:"bool"},{tfName:"tensor_array_name",name:"name",type:"string"}]},{tfOpName:"TensorArrayWriteV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayReadV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayGatherV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"}]},{tfOpName:"TensorArrayScatterV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArrayConcatV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape_except0",name:"elementShapeExcept0",type:"shape",notSupported:!0}]},{tfOpName:"TensorArraySplitV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"tensor",type:"tensor"},{start:2,name:"lengths",type:"number[]"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArraySizeV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}]},{tfOpName:"TensorArrayCloseV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"}]},{tfOpName:"StatelessIf",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"If",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"StatelessWhile",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"While",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"TensorListScatter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListScatterV2",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"},{start:3,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGather",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListSetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListReserve",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListFromTensor",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListStack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"},{tfName:"num_elements",name:"numElements",type:"dtype"}]},{tfOpName:"TensorListSplit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"},{start:2,name:"lengths",type:"number[]"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcat",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcatV2",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPopBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPushBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListLength",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}]},{tfOpName:"TensorListResize",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"size",type:"number"}]}],S2={};Ae(S2,{json:()=>PH});var PH=[{tfOpName:"AvgPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[],notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPoolWithArgmax",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"include_batch_in_index",name:"includeBatchInIndex",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AvgPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Conv1D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"stride",name:"stride",type:"number"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NWC"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"dilation",name:"dilation",type:"number",defaultValue:1}]},{tfOpName:"Conv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"useCudnnOnGpu",name:"useCudnnOnGpu",type:"bool"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"_FusedConv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"use_cudnn_on_gpu",name:"useCudnnOnGpu",type:"bool",defaultValue:!0},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2}]},{tfOpName:"Conv2DBackpropInput",category:"convolution",inputs:[{start:2,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:0,name:"outputShape",type:"number[]"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]",notSupported:!0}]},{tfOpName:"DepthwiseConv2d",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"DepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"FusedDepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]}]},{tfOpName:"Conv3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"Dilation2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"rates",name:"dilations",type:"number[]"},{tfName:"padding",name:"pad",type:"string"}]}],T2={};Ae(T2,{json:()=>OH});var OH=[{tfOpName:"Fill",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"},{start:1,name:"value",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"LinSpace",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"num",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"OneHot",category:"creation",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"depth",type:"number"},{start:2,name:"onValue",type:"number",defaultValue:1},{start:3,name:"offValue",type:"number",defaultValue:0}],attrs:[{tfName:"axis",name:"axis",type:"number",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Ones",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"OnesLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"RandomStandardNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"RandomUniform",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"minval",name:"minval",type:"number",defaultValue:0},{tfName:"maxval",name:"maxval",type:"number",defaultValue:1},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Range",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"step",type:"number",defaultValue:0}],attrs:[{tfName:"Tidx",name:"dtype",type:"dtype"}]},{tfOpName:"TruncatedNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"means",name:"mean",type:"number",defaultValue:0},{tfName:"stddev",name:"stdDev",type:"number",defaultValue:1},{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Zeros",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"ZerosLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Multinomial",category:"creation",inputs:[{start:0,name:"logits",type:"tensor"},{start:1,name:"numSamples",type:"number"}],attrs:[{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number"},{tfName:"T",name:"dtype",type:"dtype"},{tfName:"output_dtype",name:"output_dtype",type:"dtype"}]}],N2={};Ae(N2,{json:()=>LH});var LH=[{tfOpName:"NonMaxSuppressionV2",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV3",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV4",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"T_threshold",name:"threshold",type:"dtype",notSupported:!0},{tfName:"pad_to_max_output_size",name:"padToMaxOutputSize",type:"bool"}]},{tfOpName:"NonMaxSuppressionV5",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"},{start:5,name:"softNmsSigma",type:"number"}]},{tfOpName:"Where",category:"dynamic",inputs:[{start:0,name:"condition",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ListDiff",category:"dynamic",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],C2={};Ae(C2,{json:()=>zH});var zH=[{tfOpName:"LowerBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"TopKV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"k",type:"number"}],attrs:[{tfName:"sorted",name:"sorted",type:"bool"}]},{tfOpName:"UpperBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"Unique",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"UniqueV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]}],_2={};Ae(_2,{json:()=>WH});var WH=[{tfOpName:"PlaceholderWithDefault",category:"graph",inputs:[{start:0,name:"default",type:"tensor"}],attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Placeholder",category:"graph",attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Const",category:"graph"},{tfOpName:"Identity",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IdentityN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Snapshot",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Rank",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Size",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Shape",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"ShapeN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Print",category:"graph",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"data",type:"tensors"}],attrs:[{tfName:"message",name:"message",type:"string"},{tfName:"first_n",name:"firstN",type:"number",notSupported:!0},{tfName:"summarize",name:"summarize",type:"number",defaultValue:3}]},{tfOpName:"NoOp",category:"graph",inputs:[]},{tfOpName:"StopGradient",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"FakeQuantWithMinMaxVars",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"min",name:"min",type:"number"},{tfName:"max",name:"max",type:"number"}]}],E2={};Ae(E2,{json:()=>BH});var BH=[{tfOpName:"HashTable",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"HashTableV2",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"LookupTableImport",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableImportV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFind",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFindV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableSize",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]},{tfOpName:"LookupTableSizeV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]}],A2={};Ae(A2,{json:()=>VH});var VH=[{tfOpName:"ResizeBilinear",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ResizeNearestNeighbor",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"CropAndResize",category:"image",inputs:[{start:0,name:"image",type:"tensor"},{start:1,name:"boxes",type:"tensor"},{start:2,name:"boxInd",type:"tensor"},{start:3,name:"cropSize",type:"number[]"}],attrs:[{tfName:"method",name:"method",type:"string"},{tfName:"extrapolation_value",name:"extrapolationValue",type:"number"}]},{tfOpName:"ImageProjectiveTransformV3",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"transforms",type:"tensor"},{start:2,name:"outputShape",type:"number[]"},{start:3,name:"fillValue",type:"number"}],attrs:[{tfName:"interpolation",name:"interpolation",type:"string"},{tfName:"fill_mode",name:"fillMode",type:"string"}]}],$2={};Ae($2,{json:()=>UH});var UH=[{tfOpName:"Equal",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NotEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Greater",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"GreaterEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Less",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LessEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalAnd",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalNot",category:"logical",inputs:[{start:0,name:"a",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalOr",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Select",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SelectV2",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],F2={};Ae(F2,{json:()=>GH});var GH=[{tfOpName:"_FusedMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMulV2",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Transpose",category:"matrices",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"perm",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Einsum",category:"matrices",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"equation",name:"equation",type:"string"},{tfName:"N",name:"n",type:"number",defaultValue:2},{tfName:"T",name:"dtype",type:"dtype"}]}],D2={};Ae(D2,{json:()=>HH});var HH=[{tfOpName:"EuclideanNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",defaultValue:!1}]},{tfOpName:"FusedBatchNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV2",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV3",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"LRN",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"depth_radius",name:"radius",type:"number",defaultValue:5},{tfName:"bias",name:"bias",type:"number",defaultValue:1},{tfName:"alpha",name:"alpha",type:"number",defaultValue:1},{tfName:"beta",name:"beta",type:"number",defaultValue:.5}]},{tfOpName:"Softmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"LogSoftmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"SparseToDense",category:"normalization",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!0,notSupported:!0}]}],R2={};Ae(R2,{json:()=>jH});var jH=[{tfOpName:"Bincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}]},{tfOpName:"DenseBincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}],attrs:[{tfName:"binary_output",name:"binaryOutput",type:"bool"}]},{tfOpName:"Max",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Mean",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Min",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Sum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"All",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Any",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"ArgMax",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"ArgMin",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"Prod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Cumprod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]},{tfOpName:"Cumsum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]}],M2={};Ae(M2,{json:()=>qH});var qH=[{tfOpName:"ConcatV2",category:"slice_join",inputs:[{start:0,end:-1,name:"tensors",type:"tensors"},{start:-1,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"Concat",category:"slice_join",inputs:[{start:1,end:0,name:"tensors",type:"tensors"},{start:0,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"GatherV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"axis",type:"number",defaultValue:0}],attrs:[{tfName:"batch_dims",name:"batchDims",type:"number",defaultValue:0}]},{tfOpName:"Gather",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",notSupported:!0}]},{tfOpName:"Reverse",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"dims",type:"bool[]"}]},{tfOpName:"ReverseV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}]},{tfOpName:"Slice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"size",type:"number[]"}]},{tfOpName:"StridedSlice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"end",type:"number[]"},{start:3,name:"strides",type:"number[]"}],attrs:[{tfName:"begin_mask",name:"beginMask",type:"number",defaultValue:0},{tfName:"end_mask",name:"endMask",type:"number",defaultValue:0},{tfName:"new_axis_mask",name:"newAxisMask",type:"number",defaultValue:0},{tfName:"ellipsis_mask",name:"ellipsisMask",type:"number",defaultValue:0},{tfName:"shrink_axis_mask",name:"shrinkAxisMask",type:"number",defaultValue:0}]},{tfOpName:"Pack",category:"slice_join",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0}]},{tfOpName:"Unpack",category:"slice_join",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0},{tfName:"num",name:"num",type:"number",defaultValue:0,notSupported:!0}]},{tfOpName:"Tile",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"reps",type:"number[]"}]},{tfOpName:"Split",category:"slice_join",inputs:[{start:0,name:"axis",type:"number",defaultValue:0},{start:1,name:"x",type:"tensor"}],attrs:[{tfName:"num_split",name:"numOrSizeSplits",type:"number",defaultValue:1}]},{tfOpName:"SplitV",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"numOrSizeSplits",type:"number[]"},{start:2,name:"axis",type:"number",defaultValue:0}]},{tfOpName:"ScatterNd",category:"slice_join",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"shape",type:"number[]"}]},{tfOpName:"GatherNd",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}]},{tfOpName:"SparseToDense",category:"slice_join",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!1,notSupported:!0}]}],P2={};Ae(P2,{json:()=>KH});var KH=[{tfOpName:"SparseFillEmptyRows",category:"sparse",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"denseShape",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}]},{tfOpName:"SparseReshape",category:"sparse",inputs:[{start:0,name:"inputIndices",type:"tensor"},{start:1,name:"inputShape",type:"tensor"},{start:2,name:"newShape",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SparseSegmentMean",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]},{tfOpName:"SparseSegmentSum",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]}],O2={};Ae(O2,{json:()=>XH});var XH=[{tfOpName:"FFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"RFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]},{tfOpName:"IRFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]}],L2={};Ae(L2,{json:()=>YH});var YH=[{tfOpName:"StringNGrams",category:"string",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"dataSplits",type:"tensor"}],attrs:[{tfName:"separator",name:"separator",type:"string"},{tfName:"ngram_widths",name:"nGramWidths",type:"number[]"},{tfName:"left_pad",name:"leftPad",type:"string"},{tfName:"right_pad",name:"rightPad",type:"string"},{tfName:"pad_width",name:"padWidth",type:"number"},{tfName:"preserve_short_sequences",name:"preserveShortSequences",type:"bool"}],outputs:["ngrams","ngrams_splits"]},{tfOpName:"StringSplit",category:"string",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"delimiter",type:"tensor"}],attrs:[{tfName:"skip_empty",name:"skipEmpty",type:"bool"}],outputs:["indices","values","shape"]},{tfOpName:"StringToHashBucketFast",category:"string",inputs:[{start:0,name:"input",type:"tensor"}],attrs:[{tfName:"num_buckets",name:"numBuckets",type:"number"}]}],z2={};Ae(z2,{json:()=>ZH});var ZH=[{tfOpName:"Cast",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"SrcT",name:"sdtype",type:"dtype",notSupported:!0},{tfName:"DstT",name:"dtype",type:"dtype"}]},{tfOpName:"ExpandDims",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"MirrorPad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"mode",name:"mode",type:"string"}]},{tfOpName:"Pad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"constant_value",name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"PadV2",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"},{start:2,name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"Reshape",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}]},{tfOpName:"Squeeze",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"axis",tfDeprecatedName:"squeeze_dims",name:"axis",type:"number[]"}]},{tfOpName:"SpaceToBatchND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"paddings",type:"number[]"}]},{tfOpName:"BatchToSpaceND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"crops",type:"number[]"}]},{tfOpName:"DepthToSpace",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"block_size",name:"blockSize",type:"number"},{tfName:"data_format",name:"dataFormat",type:"string"}]},{tfOpName:"BroadcastTo",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}],attrs:[]},{tfOpName:"BroadcastArgs",category:"transformation",inputs:[{start:0,name:"s0",type:"tensor"},{start:1,name:"s1",type:"tensor"}],attrs:[]}],Yk=class{constructor(){let e=[w2,k2,I2,S2,T2,N2,C2,_2,E2,A2,$2,F2,D2,R2,M2,P2,O2,L2,z2],t=[].concat(...e.map(n=>n.json));this.opMappers=t.reduce((n,a)=>(n[a.tfOpName]=a,n),{})}static get Instance(){return this._instance||(this._instance=new this)}transformGraph(e,t={}){let n=e.node,a=[],r=[],s=[],i=n.reduce((m,f)=>(m[f.name]=this.mapNode(f),f.op.startsWith("Placeholder")?a.push(m[f.name]):f.op==="Const"?r.push(m[f.name]):(f.input==null||f.input.length===0)&&s.push(m[f.name]),m),{}),o=[],l=[],u={},p={};t!=null&&(u=this.mapSignatureEntries(t.inputs),p=this.mapSignatureEntries(t.outputs));let d=Object.keys(i);d.forEach(m=>{let f=i[m];f.inputNames.forEach((g,b)=>{let[y,,x]=sr(g),w=i[y];if(w.outputs!=null){let I=w.outputs.indexOf(x);if(I!==-1){let T=`${y}:${I}`;f.inputNames[b]=T}}f.inputs.push(w),w.children.push(f)})}),Object.keys(p).length===0?d.forEach(m=>{let f=i[m];f.children.length===0&&l.push(f)}):Object.keys(p).forEach(m=>{let[f]=sr(m),g=i[f];g!=null&&(g.signatureKey=p[m],l.push(g))}),Object.keys(u).length>0?Object.keys(u).forEach(m=>{let[f]=sr(m),g=i[f];g&&(g.signatureKey=u[m],o.push(g))}):o=a;let c={};e.library!=null&&e.library.function!=null&&(c=e.library.function.reduce((m,f)=>(m[f.signature.name]=this.mapFunction(f),m),{}));let h={nodes:i,inputs:o,outputs:l,weights:r,placeholders:a,signature:t,functions:c};return s.length>0&&(h.initNodes=s),h}mapSignatureEntries(e){return Object.keys(e||{}).reduce((t,n)=>(t[e[n].name]=n,t),{})}mapNode(e){let t=v2(e.op)||this.opMappers[e.op]||{};e.attr==null&&(e.attr={});let n={name:e.name,op:e.op,category:t.category,inputNames:(e.input||[]).map(a=>a.startsWith("^")?a.slice(1):a),inputs:[],children:[],inputParams:{},attrParams:{},rawAttrs:e.attr,outputs:t.outputs};return t.inputs!=null&&(n.inputParams=t.inputs.reduce((a,r)=>(a[r.name]={type:r.type,inputIndexStart:r.start,inputIndexEnd:r.end},a),{})),t.attrs!=null&&(n.attrParams=t.attrs.reduce((a,r)=>{let s=r.type,i;switch(r.type){case"string":i=Qy(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Qy(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"string[]":i=ix(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=ix(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"number":i=tx(e.attr,r.tfName,r.defaultValue||0),i===void 0&&!!r.tfDeprecatedName&&(i=tx(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"number[]":i=sx(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=sx(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"bool":i=ex(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=ex(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"bool[]":i=lx(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=lx(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"shape":i=rx(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=rx(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"shape[]":i=ox(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=ox(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"dtype":i=nx(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=nx(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"dtype[]":i=ax(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=ax(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"func":i=Zk(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Zk(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"tensor":case"tensors":break;default:throw new Error(`Unsupported param type: ${r.type} for op: ${e.op}`)}return a[r.name]={value:i,type:s},a},{})),n}mapFunction(e){let t=e.nodeDef,n=[],a=[],r={};t!=null&&(r=t.reduce((u,p)=>(u[p.name]=this.mapNode(p),p.op==="Const"&&a.push(u[p.name]),u),{}));let s=[],i=[];e.signature.inputArg.forEach(u=>{let[p]=sr(u.name),d={name:p,op:"Placeholder",inputs:[],inputNames:[],category:"graph",inputParams:{},attrParams:{dtype:{value:E0(u.type),type:"dtype"}},children:[]};d.signatureKey=u.name,s.push(d),r[p]=d}),Object.keys(r).forEach(u=>{let p=r[u];p.inputNames.forEach((d,c)=>{let[h,,m]=sr(d),f=r[h];if(f.outputs!=null){let g=f.outputs.indexOf(m);if(g!==-1){let b=`${h}:${g}`;p.inputNames[c]=b}}p.inputs.push(f),f.children.push(p)})});let o=e.ret;e.signature.outputArg.forEach(u=>{let[p,d]=sr(o[u.name]),c=r[p];c!=null&&(c.defaultOutput=d,i.push(c))});let l=this.mapArgsToSignature(e);return{nodes:r,inputs:s,outputs:i,weights:a,placeholders:n,signature:l}}mapArgsToSignature(e){return{methodName:e.signature.name,inputs:e.signature.inputArg.reduce((t,n)=>(t[n.name]=this.mapArgToTensorInfo(n),t),{}),outputs:e.signature.outputArg.reduce((t,n)=>(t[n.name]=this.mapArgToTensorInfo(n,e.ret),t),{})}}mapArgToTensorInfo(e,t){let n=e.name;return t!=null&&(n=t[n]),{name:n,dtype:e.type}}};function JH(e){let t=H().global;if(typeof t.atob!="undefined")return t.atob(e);if(typeof Buffer!="undefined")return new Buffer(e,"base64").toString();throw new Error("Unable to decode base64 in this environment. Missing built-in atob() or Buffer()")}function W2(e,t){let n=Array.isArray(e)?String.fromCharCode.apply(null,e):JH(e);return t?n:n.toLowerCase()}function Qy(e,t,n,a=!1){let r=e[t];return r!=null?W2(r.s,a):n}function ex(e,t,n){let a=e[t];return a?a.b:n}function tx(e,t,n){let a=e[t]||{},r=a.i!=null?a.i:a.f!=null?a.f:n;return typeof r=="number"?r:parseInt(r,10)}function E0(e){switch(typeof e=="string"&&(e=Na[e]),e){case Na.DT_FLOAT:case Na.DT_HALF:return"float32";case Na.DT_INT32:case Na.DT_INT64:case Na.DT_INT8:case Na.DT_UINT8:return"int32";case Na.DT_BOOL:return"bool";case Na.DT_DOUBLE:return"float32";case Na.DT_STRING:return"string";default:return null}}function Zk(e,t,n){let a=e[t];return a&&a.func?a.func.name:n}function nx(e,t,n){let a=e[t];return a&&a.type?E0(a.type):n}function ax(e,t,n){let a=e[t];return a&&a.list&&a.list.type?a.list.type.map(r=>E0(r)):n}function B2(e){if(!e.unknownRank)return e.dim!=null?e.dim.map(t=>typeof t.size=="number"?t.size:parseInt(t.size,10)):[]}function rx(e,t,n){let a=e[t];return a&&a.shape?B2(a.shape):n}function sx(e,t,n){let a=e[t];return a?((a.list.f&&a.list.f.length?a.list.f:a.list.i)||[]).map(r=>typeof r=="number"?r:parseInt(r,10)):n}function ix(e,t,n,a=!1){let r=e[t];return r&&r.list&&r.list.s?r.list.s.map(s=>W2(s,a)):n}function ox(e,t,n){let a=e[t];return a&&a.list&&a.list.shape?a.list.shape.map(r=>B2(r)):n}function lx(e,t,n){let a=e[t];return a&&a.list&&a.list.b?a.list.b:n}var QH=class{constructor(e,t,n){this.node=e,this.tensorMap=t,this.context=n,this.inputs=[],this.attrs={},this.inputs=e.inputNames.map(a=>this.getInput(a)),e.rawAttrs!=null&&(this.attrs=Object.keys(e.rawAttrs).reduce((a,r)=>(a[r]=this.getAttr(r),a),{}))}getInput(e){return wn(e,this.tensorMap,this.context)}getAttr(e,t){let n=this.node.rawAttrs[e];if(n.tensor!=null)return wn(e,this.tensorMap,this.context);if(n.i!=null||n.f!=null)return tx(this.node.rawAttrs,e,t);if(n.s!=null)return Qy(this.node.rawAttrs,e,t);if(n.b!=null)return ex(this.node.rawAttrs,e,t);if(n.shape!=null)return rx(this.node.rawAttrs,e,t);if(n.type!=null)return nx(this.node.rawAttrs,e,t);if(n.list!=null){if(n.list.i!=null||n.list.f!=null)return sx(this.node.rawAttrs,e,t);if(n.list.s!=null)return ix(this.node.rawAttrs,e,t);if(n.list.shape!=null)return ox(this.node.rawAttrs,e,t);if(n.list.b!=null)return lx(this.node.rawAttrs,e,t);if(n.list.type!=null)return ax(this.node.rawAttrs,e,t)}return t}},pn={};Ae(pn,{OP_SCOPE_SUFFIX:()=>Mx,abs:()=>Lt,acos:()=>Xx,acosh:()=>Yx,add:()=>Y,addN:()=>qS,all:()=>jm,any:()=>Qp,argMax:()=>ri,argMin:()=>Zx,asin:()=>Jx,asinh:()=>Qx,atan:()=>ev,atan2:()=>tv,atanh:()=>nv,avgPool:()=>ba,avgPool3d:()=>rv,basicLSTMCell:()=>ZS,batchNorm:()=>ks,batchNorm2d:()=>sv,batchNorm3d:()=>iv,batchNorm4d:()=>ov,batchToSpaceND:()=>Pc,bincount:()=>lv,booleanMaskAsync:()=>DT,broadcastArgs:()=>JS,broadcastTo:()=>Xs,buffer:()=>Oe,cast:()=>oe,ceil:()=>uv,clipByValue:()=>en,clone:()=>ir,complex:()=>Ar,concat:()=>Ze,concat1d:()=>pv,concat2d:()=>cv,concat3d:()=>dv,concat4d:()=>hv,conv1d:()=>qm,conv2d:()=>$t,conv2dTranspose:()=>Km,conv3d:()=>fv,conv3dTranspose:()=>gv,cos:()=>Oc,cosh:()=>Xm,cosineWindow:()=>bf,cumprod:()=>ec,cumsum:()=>Ym,denseBincount:()=>zh,depthToSpace:()=>bv,depthwiseConv2d:()=>Is,diag:()=>eT,dilation2d:()=>yv,div:()=>he,divNoNan:()=>xv,dot:()=>vv,dropout:()=>qv,einsum:()=>tT,elu:()=>Lu,enclosingPowerOfTwo:()=>Kv,equal:()=>ea,erf:()=>wv,euclideanNorm:()=>Sv,exp:()=>fn,expandDims:()=>Zt,expm1:()=>Tv,eye:()=>Zm,fft:()=>Hc,fill:()=>gn,floor:()=>Wu,floorDiv:()=>Hm,fused:()=>kl,gather:()=>Bu,gatherND:()=>OT,greater:()=>Cn,greaterEqual:()=>Fr,ifft:()=>wl,imag:()=>Dc,image:()=>za,inTopKAsync:()=>LT,irfft:()=>hf,isFinite:()=>Nv,isInf:()=>Cv,isNaN:()=>_v,leakyRelu:()=>Lc,less:()=>Jm,lessEqual:()=>Ss,linalg:()=>Zv,linspace:()=>iT,localResponseNormalization:()=>Ev,log:()=>ta,log1p:()=>zc,logSigmoid:()=>Av,logSoftmax:()=>ef,logSumExp:()=>tf,logicalAnd:()=>$a,logicalNot:()=>Wc,logicalOr:()=>nf,logicalXor:()=>$v,losses:()=>YT,lowerBound:()=>lT,matMul:()=>Fe,max:()=>ma,maxPool:()=>Dt,maxPool3d:()=>Fv,maxPoolWithArgmax:()=>uT,maximum:()=>dr,mean:()=>Nt,meshgrid:()=>pT,min:()=>yl,minimum:()=>Vu,mirrorPad:()=>Dv,mod:()=>Rv,moments:()=>Bc,movingAverage:()=>RT,mul:()=>z,multiRNNCell:()=>cT,multinomial:()=>dT,neg:()=>vt,norm:()=>zu,notEqual:()=>oi,oneHot:()=>gl,ones:()=>Jn,onesLike:()=>na,op:()=>L,outerProduct:()=>hT,pad:()=>ya,pad1d:()=>mT,pad2d:()=>fT,pad3d:()=>gT,pad4d:()=>bT,pool:()=>Mv,pow:()=>$r,prelu:()=>Uc,print:()=>zx,prod:()=>Pv,raggedGather:()=>yT,raggedRange:()=>xT,raggedTensorToTensor:()=>vT,rand:()=>wT,randomGamma:()=>kT,randomNormal:()=>rf,randomStandardNormal:()=>IT,randomUniform:()=>Uu,range:()=>xl,real:()=>bl,reciprocal:()=>zv,relu:()=>Xe,relu6:()=>sf,reshape:()=>W,reverse:()=>ga,reverse1d:()=>ST,reverse2d:()=>TT,reverse3d:()=>NT,reverse4d:()=>CT,rfft:()=>jc,round:()=>of,rsqrt:()=>lf,scalar:()=>ye,scatterND:()=>MT,searchSorted:()=>af,selu:()=>uf,separableConv2d:()=>Ts,setdiff1dAsync:()=>_T,sigmoid:()=>ha,sign:()=>Wv,signal:()=>XT,sin:()=>pf,sinh:()=>cf,slice:()=>Be,slice1d:()=>Gc,slice2d:()=>df,slice3d:()=>fo,slice4d:()=>vl,softmax:()=>Ka,softplus:()=>mo,spaceToBatchND:()=>Vc,sparse:()=>ZT,sparseToDense:()=>PT,spectral:()=>KT,split:()=>zn,sqrt:()=>un,square:()=>lt,squaredDifference:()=>mf,squeeze:()=>Ns,stack:()=>Ft,step:()=>go,stridedSlice:()=>Bv,string:()=>JT,sub:()=>pe,sum:()=>fe,tan:()=>Vv,tanh:()=>si,tensor:()=>In,tensor1d:()=>Ke,tensor2d:()=>Aa,tensor3d:()=>Rc,tensor4d:()=>Da,tensor5d:()=>ET,tensor6d:()=>AT,tile:()=>Ln,topk:()=>Uv,transpose:()=>Ee,truncatedNormal:()=>ff,unique:()=>Gv,unsortedSegmentSum:()=>gf,unstack:()=>ct,upperBound:()=>$T,variable:()=>Hv,where:()=>mn,whereAsync:()=>jv,zeros:()=>It,zerosLike:()=>qe});var e6=(e,t,n,a=pn)=>{switch(e.op){case"BiasAdd":case"AddV2":case"Add":return[a.add(k("a",e,t,n),k("b",e,t,n))];case"AddN":return[a.addN(k("tensors",e,t,n))];case"FloorMod":case"Mod":return[a.mod(k("a",e,t,n),k("b",e,t,n))];case"Mul":return[a.mul(k("a",e,t,n),k("b",e,t,n))];case"RealDiv":case"Div":return[a.div(k("a",e,t,n),k("b",e,t,n))];case"DivNoNan":return[a.divNoNan(k("a",e,t,n),k("b",e,t,n))];case"FloorDiv":return[a.floorDiv(k("a",e,t,n),k("b",e,t,n))];case"Sub":return[a.sub(k("a",e,t,n),k("b",e,t,n))];case"Minimum":return[a.minimum(k("a",e,t,n),k("b",e,t,n))];case"Maximum":return[a.maximum(k("a",e,t,n),k("b",e,t,n))];case"Pow":return[a.pow(k("a",e,t,n),k("b",e,t,n))];case"SquaredDifference":return[a.squaredDifference(k("a",e,t,n),k("b",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},t6=(e,t,n,a=pn)=>{switch(e.op){case"Abs":case"ComplexAbs":return[a.abs(k("x",e,t,n))];case"Acos":return[a.acos(k("x",e,t,n))];case"Acosh":return[a.acosh(k("x",e,t,n))];case"Asin":return[a.asin(k("x",e,t,n))];case"Asinh":return[a.asinh(k("x",e,t,n))];case"Atan":return[a.atan(k("x",e,t,n))];case"Atan2":return[a.atan2(k("x",e,t,n),k("y",e,t,n))];case"Atanh":return[a.atanh(k("x",e,t,n))];case"Ceil":return[a.ceil(k("x",e,t,n))];case"Complex":return[a.complex(k("real",e,t,n),k("imag",e,t,n))];case"Cos":return[a.cos(k("x",e,t,n))];case"Cosh":return[a.cosh(k("x",e,t,n))];case"Elu":return[a.elu(k("x",e,t,n))];case"Erf":return[a.erf(k("x",e,t,n))];case"Exp":return[a.exp(k("x",e,t,n))];case"Expm1":return[a.expm1(k("x",e,t,n))];case"Floor":return[a.floor(k("x",e,t,n))];case"Log":return[a.log(k("x",e,t,n))];case"Log1p":return[a.log1p(k("x",e,t,n))];case"Imag":return[a.imag(k("x",e,t,n))];case"Neg":return[a.neg(k("x",e,t,n))];case"Reciprocal":return[a.reciprocal(k("x",e,t,n))];case"Real":return[a.real(k("x",e,t,n))];case"Relu":return[a.relu(k("x",e,t,n))];case"Round":return[a.round(k("x",e,t,n))];case"Selu":return[a.selu(k("x",e,t,n))];case"Sigmoid":return[a.sigmoid(k("x",e,t,n))];case"Sin":return[a.sin(k("x",e,t,n))];case"Sign":return[a.sign(k("x",e,t,n))];case"Sinh":return[a.sinh(k("x",e,t,n))];case"Softplus":return[a.softplus(k("x",e,t,n))];case"Sqrt":return[a.sqrt(k("x",e,t,n))];case"Square":return[a.square(k("x",e,t,n))];case"Tanh":return[a.tanh(k("x",e,t,n))];case"Tan":return[a.tan(k("x",e,t,n))];case"ClipByValue":return[a.clipByValue(k("x",e,t,n),k("clipValueMin",e,t,n),k("clipValueMax",e,t,n))];case"Relu6":return[a.relu6(k("x",e,t,n))];case"Rsqrt":return[a.rsqrt(wn(e.inputNames[0],t,n))];case"Prod":return[a.prod(k("x",e,t,n),k("axes",e,t,n))];case"LeakyRelu":return[a.leakyRelu(k("x",e,t,n),k("alpha",e,t,n))];case"Prelu":return[a.prelu(k("x",e,t,n),k("alpha",e,t,n))];case"IsNan":return[a.isNaN(wn(e.inputNames[0],t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function Ea(e,t,n=""){if(!(typeof e=="number"||typeof t=="number")){v.assert(e.length===t.length,()=>n+` Shapes ${e} and ${t} must match`);for(let a=0;an+` Shapes ${e} and ${t} must match`)}}}function Jk(e){return!(typeof e=="number"||e.some(t=>t<0))}function $p(e,t,n){let a=ux(e,n),r=!Jk(a);if(r&&t.length===0)throw new Error(`Tried to calculate elements of an empty list with non-fully-defined elementShape: ${a}`);if(r&&t.forEach(s=>{a=ux(s.shape,a)}),!Jk(a))throw new Error(`Non-fully-defined elementShape: ${a}`);return a}function ux(e,t){if(typeof e=="number")return t;if(typeof t=="number")return e;if(e.length!==t.length)throw new Error(`Incompatible ranks during merge: ${e} vs. ${t}`);let n=[];for(let a=0;a=0&&s>=0&&r!==s)throw new Error(`Incompatible shape during merge: ${e} vs. ${t}`);n[a]=r>=0?r:s}return n}var n6=class{constructor(e,t,n,a,r,s,i){this.name=e,this.dtype=t,this.maxSize=n,this.elementShape=a,this.identicalElementShapes=r,this.dynamicSize=s,this.clearAfterRead=i,this.tensors=[],this.closed_=!1,this.idTensor=ye(0),Jt(this.idTensor)}get id(){return this.idTensor.id}get closed(){return this.closed_}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.tensor.id))&&t.tensor.dispose()}),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}size(){return this.tensors.length}read(e){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||e>=this.size())throw new Error(`Tried to read from index ${e}, but array size is: ${this.size()}`);let t=this.tensors[e];if(t.cleared)throw new Error(`TensorArray ${this.name}: Could not read index ${e} twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).`);return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor}readMany(e){return e.map(t=>this.read(t))}write(e,t){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error(`Tried to write to index ${e}, but array is not resizeable and size is: ${this.maxSize}`);let n=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, + because the value dtype is ${t.dtype}, but TensorArray dtype is ${this.dtype}.`);if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=t.shape),Ea(this.elementShape,t.shape,`TensorArray ${this.name}: Could not write to TensorArray index ${e}.`),n.read)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been read.`);if(n.written)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been written.`);n.tensor=t,Jt(t),n.written=!0,this.tensors[e]=n}writeMany(e,t){if(e.length!==t.length)throw new Error(`TensorArray ${this.name}: could not write multiple tensors,because the index size: ${e.length} is not the same as tensors size: ${t.length}.`);e.forEach((n,a)=>this.write(n,t[a]))}gather(e,t){if(!!t&&t!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but gather requested dtype ${t}`);if(e)e=e.slice(0,this.size());else{e=[];for(let a=0;a=this.maxSize)throw new Error(`Max index must be < array size (${n} vs. ${this.maxSize})`);this.writeMany(e,ct(t,0))}split(e,t){if(t.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${t.dtype}`);let n=0,a=e.map(o=>(n+=o,n));if(n!==t.shape[0])throw new Error(`Expected sum of lengths to be equal to tensor.shape[0], but sum of lengths is - ${n}, and tensor's shape is: ${t.shape}`);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${e.length}), and the TensorArray is not marked as dynamically resizeable`);let r=n===0?0:t.size/n,s=[];P(()=>{t=B(t,[1,n,r]);for(let o=0;o{if(n!==r.dtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${r.dtype}`);Ca(t,r.shape,"TensorList shape mismatch: "),Zt(r)}),this.idTensor=ye(0),this.maxNumElements=a,Zt(this.idTensor)}get id(){return this.idTensor.id}copy(){return new Sl([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.id))&&t.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(e,t,n=-1){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(n!==-1&&this.tensors.length!==n)throw new Error(`Operation expected a list with ${n} elements but got a list with ${this.tensors.length} elements.`);Ca(e,this.elementShape,"TensorList shape mismatch: ");let a=Ep(this.elementShape,this.tensors,e);return P(()=>{let r=this.tensors.map(s=>B(s,a));return Ft(r,0)})}popBack(e,t){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(this.size()===0)throw new Error("Trying to pop from an empty list.");let n=Ep(this.elementShape,this.tensors,e),a=this.tensors.pop();return a.kept=!1,Ca(a.shape,e,"TensorList shape mismatch: "),B(a,n)}pushBack(e){if(e.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`);if(Ca(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");Zt(e),this.tensors.push(e)}resize(e){if(e<0)throw new Error(`TensorListResize expects size to be non-negative. Got: ${e}`);if(this.maxNumElements!==-1&&e>this.maxNumElements)throw new Error(`TensorListResize input size ${e} is greater maxNumElement ${this.maxNumElements}.`);let t=new Sl([],this.elementShape,this.elementDtype,this.maxNumElements);t.tensors.length=e;for(let n=0;nthis.tensors.length)throw new Error(`Trying to access element ${e} in a list with ${this.tensors.length} elements.`);if(this.tensors[e]==null)throw new Error(`element at index ${e} is null.`);Ca(this.tensors[e].shape,t,"TensorList shape mismatch: ");let a=Ep(this.elementShape,this.tensors,t);return B(this.tensors[e],a)}setItem(e,t){if(t.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t.dtype}, but list elements ${this.elementDtype}`);if(e<0||this.maxNumElements!==-1&&e>=this.maxNumElements)throw new Error(`Trying to set element ${e} in a list with max ${this.maxNumElements} elements.`);Ca(this.elementShape,t.shape,"TensorList shape mismatch: "),Zt(t),this.tensors[e]!=null&&(this.tensors[e].kept=!1),this.tensors[e]=t}gather(e,t,n){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);Ca(this.elementShape,n,"TensorList shape mismatch: "),e=e.slice(0,this.size());let a=Ep(this.elementShape,this.tensors,n);return e.length===0?On([],[0].concat(a)):P(()=>{let r=e.map(s=>B(this.tensors[s],a));return Ft(r,0)})}concat(e,t){if(!!e&&e!==this.elementDtype)throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${e}`);Ca(this.elementShape,t,"TensorList shape mismatch: ");let n=Ep(this.elementShape,this.tensors,t);return this.size()===0?On([],[0].concat(n)):P(()=>{let a=this.tensors.map(r=>B(r,n));return Ze(a,0)})}};function HH(e,t,n){let a=e.dtype;if(e.shape.length<1)throw new Error(`Tensor must be at least a vector, but saw shape: ${e.shape}`);if(e.dtype!==n)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${n}`);let r=e.shape.slice(1);Ca(r,t,"TensorList shape mismatch: ");let s=ct(e);return new Sl(s,t,a)}function jH(e,t,n,a){return new Sl([],e,t,a)}function qH(e,t,n,a){if(t.length!==e.shape[0])throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${t.length} vs. ${e.shape[0]}`);let r=Math.max(...t);if(a!=null&&a!==-1&&r>=a)throw new Error(`Max index must be < array size (${r} vs. ${a})`);let s=new Sl([],n,e.dtype,a),i=ct(e,0);return t.forEach((o,l)=>{s.setItem(o,i[l])}),s}function KH(e,t,n){let a=0,r=t.map(p=>(a+=p,a));if(a!==e.shape[0])throw new Error(`Expected sum of lengths to be equal to + ${n}, and tensor's shape is: ${t.shape}`);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${e.length}), and the TensorArray is not marked as dynamically resizeable`);let r=n===0?0:t.size/n,s=[];P(()=>{t=W(t,[1,n,r]);for(let o=0;o{if(n!==r.dtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${r.dtype}`);Ea(t,r.shape,"TensorList shape mismatch: "),Jt(r)}),this.idTensor=ye(0),this.maxNumElements=a,Jt(this.idTensor)}get id(){return this.idTensor.id}copy(){return new Nl([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.id))&&t.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(e,t,n=-1){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(n!==-1&&this.tensors.length!==n)throw new Error(`Operation expected a list with ${n} elements but got a list with ${this.tensors.length} elements.`);Ea(e,this.elementShape,"TensorList shape mismatch: ");let a=$p(this.elementShape,this.tensors,e);return P(()=>{let r=this.tensors.map(s=>W(s,a));return Ft(r,0)})}popBack(e,t){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(this.size()===0)throw new Error("Trying to pop from an empty list.");let n=$p(this.elementShape,this.tensors,e),a=this.tensors.pop();return a.kept=!1,Ea(a.shape,e,"TensorList shape mismatch: "),W(a,n)}pushBack(e){if(e.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`);if(Ea(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");Jt(e),this.tensors.push(e)}resize(e){if(e<0)throw new Error(`TensorListResize expects size to be non-negative. Got: ${e}`);if(this.maxNumElements!==-1&&e>this.maxNumElements)throw new Error(`TensorListResize input size ${e} is greater maxNumElement ${this.maxNumElements}.`);let t=new Nl([],this.elementShape,this.elementDtype,this.maxNumElements);t.tensors.length=e;for(let n=0;nthis.tensors.length)throw new Error(`Trying to access element ${e} in a list with ${this.tensors.length} elements.`);if(this.tensors[e]==null)throw new Error(`element at index ${e} is null.`);Ea(this.tensors[e].shape,t,"TensorList shape mismatch: ");let a=$p(this.elementShape,this.tensors,t);return W(this.tensors[e],a)}setItem(e,t){if(t.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t.dtype}, but list elements ${this.elementDtype}`);if(e<0||this.maxNumElements!==-1&&e>=this.maxNumElements)throw new Error(`Trying to set element ${e} in a list with max ${this.maxNumElements} elements.`);Ea(this.elementShape,t.shape,"TensorList shape mismatch: "),Jt(t),this.tensors[e]!=null&&(this.tensors[e].kept=!1),this.tensors[e]=t}gather(e,t,n){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);Ea(this.elementShape,n,"TensorList shape mismatch: "),e=e.slice(0,this.size());let a=$p(this.elementShape,this.tensors,n);return e.length===0?In([],[0].concat(a)):P(()=>{let r=e.map(s=>W(this.tensors[s],a));return Ft(r,0)})}concat(e,t){if(!!e&&e!==this.elementDtype)throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${e}`);Ea(this.elementShape,t,"TensorList shape mismatch: ");let n=$p(this.elementShape,this.tensors,t);return this.size()===0?In([],[0].concat(n)):P(()=>{let a=this.tensors.map(r=>W(r,n));return Ze(a,0)})}};function a6(e,t,n){let a=e.dtype;if(e.shape.length<1)throw new Error(`Tensor must be at least a vector, but saw shape: ${e.shape}`);if(e.dtype!==n)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${n}`);let r=e.shape.slice(1);Ea(r,t,"TensorList shape mismatch: ");let s=ct(e);return new Nl(s,t,a)}function r6(e,t,n,a){return new Nl([],e,t,a)}function s6(e,t,n,a){if(t.length!==e.shape[0])throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${t.length} vs. ${e.shape[0]}`);let r=Math.max(...t);if(a!=null&&a!==-1&&r>=a)throw new Error(`Max index must be < array size (${r} vs. ${a})`);let s=new Nl([],n,e.dtype,a),i=ct(e,0);return t.forEach((o,l)=>{s.setItem(o,i[l])}),s}function i6(e,t,n){let a=0,r=t.map(p=>(a+=p,a));if(a!==e.shape[0])throw new Error(`Expected sum of lengths to be equal to tensor.shape[0], but sum of lengths is - ${a}, and tensor's shape is: ${e.shape}`);let s=e.shape.slice(1),i=ox(s,n),o=a===0?0:e.size/a,l=P(()=>{let p=[];e=B(e,[1,a,o]);for(let d=0;d{switch(e.op){case"If":case"StatelessIf":{let a=k("thenBranch",e,t,n),r=k("elseBranch",e,t,n),s=k("cond",e,t,n),i=k("args",e,t,n);return(await s.data())[0]?n.functionMap[a].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap):n.functionMap[r].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap)}case"While":case"StatelessWhile":{let a=k("body",e,t,n),r=k("cond",e,t,n),s=k("args",e,t,n),i=await n.functionMap[r].executeFunctionAsync(s,n.tensorArrayMap,n.tensorListMap),o=s.map(p=>p.id),l=await i[0].data();i.forEach(p=>{!p.kept&&o.indexOf(p.id)===-1&&p.dispose()});let u=s;for(;l[0];){let p=u;u=await n.functionMap[a].executeFunctionAsync(u,n.tensorArrayMap,n.tensorListMap);let d=u.map(h=>h.id);p.forEach(h=>{!h.kept&&o.indexOf(h.id)===-1&&d.indexOf(h.id)===-1&&h.dispose()});let c=await n.functionMap[r].executeFunctionAsync(u,n.tensorArrayMap,n.tensorListMap);l=await c[0].data(),c.forEach(h=>{!h.kept&&o.indexOf(h.id)===-1&&d.indexOf(h.id)===-1&&h.dispose()})}return u}case"LoopCond":{let a=k("pred",e,t,n);return[Sr(a)]}case"Switch":{let a=k("pred",e,t,n),r=k("data",e,t,n);return r.kept||(r=Sr(r)),(await a.data())[0]?[void 0,r]:[r,void 0]}case"Merge":{let a=e.inputNames.find(r=>wn(r,t,n)!==void 0);if(a){let r=wn(a,t,n);return[Sr(r)]}return}case"Enter":{let a=k("frameName",e,t,n),r=k("tensor",e,t,n);return n.enterFrame(a),[Sr(r)]}case"Exit":{let a=k("tensor",e,t,n);return n.exitFrame(),[Sr(a)]}case"NextIteration":{let a=k("tensor",e,t,n);return n.nextIteration(),[Sr(a)]}case"TensorArrayV3":{let a=k("size",e,t,n),r=k("dtype",e,t,n),s=k("elementShape",e,t,n),i=k("dynamicSize",e,t,n),o=k("clearAfterRead",e,t,n),l=k("identicalElementShapes",e,t,n),u=k("name",e,t,n),p=new GH(u,r,a,s,l,i,o);return n.addTensorArray(p),[p.idTensor,ye(1)]}case"TensorArrayWriteV3":{let a=k("tensorArrayId",e,t,n),r=k("index",e,t,n),s=k("tensor",e,t,n),i=n.getTensorArray(a.id);return i.write(r,s),[i.idTensor]}case"TensorArrayReadV3":{let a=k("tensorArrayId",e,t,n),r=k("index",e,t,n);return[n.getTensorArray(a.id).read(r)]}case"TensorArrayGatherV3":{let a=k("tensorArrayId",e,t,n),r=k("indices",e,t,n),s=k("dtype",e,t,n);return[n.getTensorArray(a.id).gather(r,s)]}case"TensorArrayScatterV3":{let a=k("tensorArrayId",e,t,n),r=k("indices",e,t,n),s=k("tensor",e,t,n),i=n.getTensorArray(a.id);return i.scatter(r,s),[i.idTensor]}case"TensorArrayConcatV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id),s=k("dtype",e,t,n);return[r.concat(s)]}case"TensorArraySplitV3":{let a=k("tensorArrayId",e,t,n),r=k("tensor",e,t,n),s=k("lengths",e,t,n),i=n.getTensorArray(a.id);return i.split(s,r),[i.idTensor]}case"TensorArraySizeV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id);return[ye(r.size(),"int32")]}case"TensorArrayCloseV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id);return r.clearAndClose(),[r.idTensor]}case"TensorListSetItem":{let a=k("tensorListId",e,t,n),r=k("index",e,t,n),s=k("tensor",e,t,n),i=n.getTensorList(a.id);return i.setItem(r,s),[i.idTensor]}case"TensorListGetItem":{let a=k("tensorListId",e,t,n),r=k("index",e,t,n),s=k("elementShape",e,t,n),i=k("elementDType",e,t,n);return[n.getTensorList(a.id).getItem(r,s,i)]}case"TensorListScatterV2":case"TensorListScatter":{let a=k("indices",e,t,n),r=k("tensor",e,t,n),s=k("elementShape",e,t,n),i=k("numElements",e,t,n),o=qH(r,a,s,i);return n.addTensorList(o),[o.idTensor]}case"TensorListReserve":case"EmptyTensorList":{let a=k("elementShape",e,t,n),r=k("elementDType",e,t,n),s;e.op==="TensorListReserve"?s="numElements":s="maxNumElements";let i=k(s,e,t,n),o=e.op==="TensorListReserve"?-1:i,l=jH(a,r,i,o);return n.addTensorList(l),[l.idTensor]}case"TensorListGather":{let a=k("tensorListId",e,t,n),r=k("indices",e,t,n),s=k("elementShape",e,t,n),i=k("elementDType",e,t,n);return[n.getTensorList(a.id).gather(r,i,s)]}case"TensorListStack":{let a=k("tensorListId",e,t,n),r=k("elementShape",e,t,n),s=k("elementDType",e,t,n),i=k("numElements",e,t,n);return[n.getTensorList(a.id).stack(r,s,i)]}case"TensorListFromTensor":{let a=k("tensor",e,t,n),r=k("elementShape",e,t,n),s=k("elementDType",e,t,n),i=HH(a,r,s);return n.addTensorList(i),[i.idTensor]}case"TensorListConcat":case"TensorListConcatV2":{let a=k("tensorListId",e,t,n),r=n.getTensorList(a.id),s=k("dtype",e,t,n),i=k("elementShape",e,t,n);return[r.concat(s,i)]}case"TensorListPushBack":{let a=k("tensorListId",e,t,n),r=k("tensor",e,t,n),s=n.getTensorList(a.id);return s.pushBack(r),[s.idTensor]}case"TensorListPopBack":{let a=k("tensorListId",e,t,n),r=k("elementShape",e,t,n),s=k("elementDType",e,t,n);return[n.getTensorList(a.id).popBack(r,s)]}case"TensorListSplit":{let a=k("tensor",e,t,n),r=k("elementShape",e,t,n),s=k("lengths",e,t,n),i=KH(a,s,r);return n.addTensorList(i),[i.idTensor]}case"TensorListLength":{let a=k("tensorListId",e,t,n),r=n.getTensorList(a.id);return[ye(r.size(),"int32")]}case"TensorListResize":{let a=k("tensorListId",e,t,n),r=k("size",e,t,n),s=n.getTensorList(a.id).resize(r);return n.addTensorList(s),[s.idTensor]}default:throw TypeError(`Node type ${e.op} is not implemented`)}};function Kk(e,t,n){let[a,r]=k("fusedOps",e,t,n),s=a==="biasadd",i=!s,o=r==="prelu",l=a==="fusedbatchnorm",u=k("numArgs",e,t,n);if(s){if(o&&u!==2)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!o&&s&&u!==1)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(l)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported");let p=k("strides",e,t,n),d=xh(e,t,n),c=k("dataFormat",e,t,n).toUpperCase(),h=k("dilations",e,t,n),[m,f]=k("args",e,t,n);i&&(f=m,m=void 0);let g=k("leakyreluAlpha",e,t,n);return{stride:p,pad:d,dataFormat:c,dilations:h,biasArg:m,preluArg:f,activationFunc:r,leakyreluAlpha:g}}var YH=(e,t,n,a=un)=>{switch(e.op){case"Conv1D":{let r=k("stride",e,t,n),s=k("pad",e,t,n),i=k("dataFormat",e,t,n).toUpperCase(),o=k("dilation",e,t,n);return[a.conv1d(k("x",e,t,n),k("filter",e,t,n),r,s,i,o)]}case"Conv2D":{let r=k("strides",e,t,n),s=xh(e,t,n),i=k("dataFormat",e,t,n).toUpperCase(),o=k("dilations",e,t,n);return[a.conv2d(k("x",e,t,n),k("filter",e,t,n),[r[1],r[2]],s,i,[o[1],o[2]])]}case"_FusedConv2D":{let{stride:r,pad:s,dataFormat:i,dilations:o,biasArg:l,preluArg:u,activationFunc:p,leakyreluAlpha:d}=Kk(e,t,n);return[a.fused.conv2d({x:k("x",e,t,n),filter:k("filter",e,t,n),strides:[r[1],r[2]],pad:s,dataFormat:i,dilations:[o[1],o[2]],bias:l,activation:p,preluActivationWeights:u,leakyreluAlpha:d})]}case"FusedDepthwiseConv2dNative":{let{stride:r,pad:s,dataFormat:i,dilations:o,biasArg:l,preluArg:u,activationFunc:p,leakyreluAlpha:d}=Kk(e,t,n);return[a.fused.depthwiseConv2d({x:k("x",e,t,n),filter:k("filter",e,t,n),strides:[r[1],r[2]],pad:s,dataFormat:i,dilations:[o[1],o[2]],bias:l,activation:p,preluActivationWeights:u,leakyreluAlpha:d})]}case"Conv2DBackpropInput":case"Conv2dTranspose":{let r=k("outputShape",e,t,n),s=k("strides",e,t,n),i=xh(e,t,n);return[a.conv2dTranspose(k("x",e,t,n),k("filter",e,t,n),r,[s[1],s[2]],i)]}case"DepthwiseConv2dNative":case"DepthwiseConv2d":{let r=k("strides",e,t,n),s=xh(e,t,n),i=k("dilations",e,t,n),o=k("dataFormat",e,t,n).toUpperCase();return[a.depthwiseConv2d(k("input",e,t,n),k("filter",e,t,n),[r[1],r[2]],s,o,[i[1],i[2]])]}case"Conv3D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("dataFormat",e,t,n).toUpperCase(),o=k("dilations",e,t,n);return[a.conv3d(k("x",e,t,n),k("filter",e,t,n),[r[1],r[2],r[3]],s,i,[o[1],o[2],o[3]])]}case"AvgPool":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.avgPool(k("x",e,t,n),[i[1],i[2]],[r[1],r[2]],s)]}case"MaxPool":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.maxPool(k("x",e,t,n),[i[1],i[2]],[r[1],r[2]],s)]}case"MaxPoolWithArgmax":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n),o=k("includeBatchInIndex",e,t,n),{result:l,indexes:u}=a.maxPoolWithArgmax(k("x",e,t,n),[i[1],i[2]],[r[1],r[2]],s,o);return[l,u]}case"AvgPool3D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.avgPool3d(k("x",e,t,n),[i[1],i[2],i[3]],[r[1],r[2],r[3]],s)]}case"MaxPool3D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.maxPool3d(k("x",e,t,n),[i[1],i[2],i[3]],[r[1],r[2],r[3]],s)]}case"Dilation2D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("dilations",e,t,n),o=r[1],l=r[2],u=i[1],p=i[2];return[a.dilation2d(k("x",e,t,n),k("filter",e,t,n),[o,l],s,[u,p],"NHWC")]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},ZH=(e,t,n,a=un)=>{switch(e.op){case"Fill":{let r=k("shape",e,t,n),s=k("dtype",e,t,n),i=k("value",e,t,n);return[a.fill(r,i,s)]}case"LinSpace":{let r=k("start",e,t,n),s=k("stop",e,t,n),i=k("num",e,t,n);return[a.linspace(r,s,i)]}case"Multinomial":{let r=k("logits",e,t,n),s=k("numSamples",e,t,n),i=k("seed",e,t,n);return[a.multinomial(r,s,i)]}case"OneHot":{let r=k("indices",e,t,n),s=k("depth",e,t,n),i=k("onValue",e,t,n),o=k("offValue",e,t,n),l=k("dtype",e,t,n);return[a.oneHot(r,s,i,o,l)]}case"Ones":return[a.ones(k("shape",e,t,n),k("dtype",e,t,n))];case"OnesLike":return[a.onesLike(k("x",e,t,n))];case"RandomStandardNormal":return[a.randomStandardNormal(k("shape",e,t,n),k("dtype",e,t,n),k("seed",e,t,n))];case"RandomUniform":return[a.randomUniform(k("shape",e,t,n),k("minval",e,t,n),k("maxval",e,t,n),k("dtype",e,t,n))];case"Range":{let r=k("start",e,t,n),s=k("stop",e,t,n),i=k("step",e,t,n);return[a.range(r,s,i,k("dtype",e,t,n))]}case"TruncatedNormal":{let r=k("shape",e,t,n),s=k("mean",e,t,n),i=k("stdDev",e,t,n),o=k("seed",e,t,n);return[a.truncatedNormal(r,s,i,k("dtype",e,t,n),o)]}case"Zeros":return[a.zeros(k("shape",e,t,n),k("dtype",e,t,n))];case"ZerosLike":return[a.zerosLike(k("x",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function vy(e,t,n){let a=k("boxes",e,t,n),r=k("scores",e,t,n),s=k("maxOutputSize",e,t,n),i=k("iouThreshold",e,t,n),o=k("scoreThreshold",e,t,n),l=k("softNmsSigma",e,t,n);return{boxes:a,scores:r,maxOutputSize:s,iouThreshold:i,scoreThreshold:o,softNmsSigma:l}}var JH=async(e,t,n,a,r=un)=>{switch(e.op){case"NonMaxSuppressionV5":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u,softNmsSigma:p}=vy(e,t,n),d=await r.image.nonMaxSuppressionWithScoreAsync(s,i,o,l,u,p);return[d.selectedIndices,d.selectedScores]}case"NonMaxSuppressionV4":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u}=vy(e,t,n),p=k("padToMaxOutputSize",e,t,n),d=await r.image.nonMaxSuppressionPaddedAsync(s,i,o,l,u,p);return[d.selectedIndices,d.validOutputs]}case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u}=vy(e,t,n);return[await r.image.nonMaxSuppressionAsync(s,i,o,l,u)]}case"Where":{let s=r.cast(k("condition",e,t,n),"bool"),i=[await r.whereAsync(s)];return s.dispose(),i}case"ListDiff":return r.setdiff1dAsync(k("x",e,t,n),k("y",e,t,n));default:throw TypeError(`Node type ${e.op} is not implemented`)}},QH=(e,t,n,a=un)=>{switch(e.op){case"LowerBound":{let r=k("sortedSequence",e,t,n),s=k("values",e,t,n);return[a.lowerBound(r,s)]}case"TopKV2":{let r=k("x",e,t,n),s=k("k",e,t,n),i=k("sorted",e,t,n),o=a.topk(r,s,i);return[o.values,o.indices]}case"UpperBound":{let r=k("sortedSequence",e,t,n),s=k("values",e,t,n);return[a.upperBound(r,s)]}case"Unique":{let r=k("x",e,t,n),s=a.unique(r);return[s.values,s.indices]}case"UniqueV2":{let r=k("x",e,t,n),s=k("axis",e,t,n),i=a.unique(r,s);return[i.values,i.indices]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},e6=(e,t,n,a=un)=>{switch(e.op){case"Const":return t[e.name];case"PlaceholderWithDefault":let r=k("default",e,t,n);return[wn(e.name,t,n)||r];case"Placeholder":return[wn(e.name,t,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":{let p=k("x",e,t,n);return[Sr(p)]}case"IdentityN":return k("x",e,t,n).map(p=>Sr(p));case"Snapshot":let s=k("x",e,t,n);return[Sr(s)];case"Shape":return[a.tensor1d(k("x",e,t,n).shape,"int32")];case"ShapeN":return k("x",e,t,n).map(p=>a.tensor1d(p.shape));case"Size":return[a.scalar(k("x",e,t,n).size,"int32")];case"Rank":return[a.scalar(k("x",e,t,n).rank,"int32")];case"NoOp":return[a.scalar(1)];case"Print":let i=k("x",e,t,n),o=k("data",e,t,n),l=k("message",e,t,n),u=k("summarize",e,t,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(l);for(let p=0;pe.dispose()),this.tensorMap.clear(),this.handle.dispose()}size(){return this.tensorMap.size}tensorSize(){return ye(this.size(),"int32")}async import(e,t){this.checkKeyAndValueTensor(e,t);let n=await e.data();return this.tensorMap.forEach(a=>a.dispose()),this.tensorMap.clear(),P(()=>{let a=ct(t),r=n.length,s=a.length;v.assert(r===s,()=>`The number of elements doesn't match, keys has ${r} elements, the values has ${s} elements.`);for(let i=0;i{let a=[];for(let r=0;r{switch(e.op){case"HashTable":case"HashTableV2":{let r=k("keyDType",e,t,n),s=k("valueDType",e,t,n),i=new t6(r,s);return a.addHashTable(e.name,i),[i.handle]}case"LookupTableImport":case"LookupTableImportV2":{let r=k("tableHandle",e,t,n,a),s=k("keys",e,t,n),i=k("values",e,t,n);return[await a.getHashTableById(r.id).import(s,i)]}case"LookupTableFind":case"LookupTableFindV2":{let r=k("tableHandle",e,t,n,a),s=k("keys",e,t,n),i=k("defaultValue",e,t,n);return[await a.getHashTableById(r.id).find(s,i)]}case"LookupTableSize":case"LookupTableSizeV2":{let r=k("tableHandle",e,t,n,a);return[a.getHashTableById(r.id).tensorSize()]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},a6=(e,t,n,a=un)=>{switch(e.op){case"ResizeBilinear":{let r=k("images",e,t,n),s=k("size",e,t,n),i=k("alignCorners",e,t,n),o=k("halfPixelCenters",e,t,n);return[a.image.resizeBilinear(r,[s[0],s[1]],i,o)]}case"ResizeNearestNeighbor":{let r=k("images",e,t,n),s=k("size",e,t,n),i=k("alignCorners",e,t,n),o=k("halfPixelCenters",e,t,n);return[a.image.resizeNearestNeighbor(r,[s[0],s[1]],i,o)]}case"CropAndResize":{let r=k("image",e,t,n),s=k("boxes",e,t,n),i=k("boxInd",e,t,n),o=k("cropSize",e,t,n),l=k("method",e,t,n),u=k("extrapolationValue",e,t,n);return[a.image.cropAndResize(r,s,i,o,l,u)]}case"ImageProjectiveTransformV3":{let r=k("images",e,t,n),s=k("transforms",e,t,n),i=k("outputShape",e,t,n),o=k("fillValue",e,t,n),l=k("interpolation",e,t,n),u=k("fillMode",e,t,n);return[a.image.transform(r,s,l.toLowerCase(),u.toLowerCase(),o,i)]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},r6=(e,t,n,a=un)=>{switch(e.op){case"Equal":return[a.equal(k("a",e,t,n),k("b",e,t,n))];case"NotEqual":return[a.notEqual(k("a",e,t,n),k("b",e,t,n))];case"Greater":return[a.greater(k("a",e,t,n),k("b",e,t,n))];case"GreaterEqual":return[a.greaterEqual(k("a",e,t,n),k("b",e,t,n))];case"Less":return[a.less(k("a",e,t,n),k("b",e,t,n))];case"LessEqual":return[a.lessEqual(k("a",e,t,n),k("b",e,t,n))];case"LogicalAnd":return[a.logicalAnd(k("a",e,t,n),k("b",e,t,n))];case"LogicalNot":return[a.logicalNot(k("a",e,t,n))];case"LogicalOr":return[a.logicalOr(k("a",e,t,n),k("b",e,t,n))];case"Select":case"SelectV2":return[a.where(k("condition",e,t,n),k("a",e,t,n),k("b",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},s6=(e,t,n,a=un)=>{switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[a.matMul(k("a",e,t,n),k("b",e,t,n),k("transposeA",e,t,n),k("transposeB",e,t,n))];case"Einsum":return[a.einsum(k("equation",e,t,n),...k("tensors",e,t,n))];case"Transpose":return[a.transpose(k("x",e,t,n),k("perm",e,t,n))];case"_FusedMatMul":let[r,s]=k("fusedOps",e,t,n),i=r==="biasadd",o=s==="prelu",l=k("numArgs",e,t,n),u=k("leakyreluAlpha",e,t,n);if(i){if(o&&l!==2)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!o&&l!==1)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}let[p,d]=k("args",e,t,n);return[a.fused.matMul({a:k("a",e,t,n),b:k("b",e,t,n),transposeA:k("transposeA",e,t,n),transposeB:k("transposeB",e,t,n),bias:p,activation:s,preluActivationWeights:d,leakyreluAlpha:u})];default:throw TypeError(`Node type ${e.op} is not implemented`)}},i6=(e,t,n,a=un)=>{switch(e.op){case"EuclideanNorm":return[a.euclideanNorm(k("x",e,t,n),k("axis",e,t,n),k("keepDims",e,t,n))];case"FusedBatchNorm":case"FusedBatchNormV2":return[a.batchNorm(k("x",e,t,n),k("mean",e,t,n),k("variance",e,t,n),k("offset",e,t,n),k("scale",e,t,n),k("epsilon",e,t,n))];case"FusedBatchNormV3":return[a.batchNorm(k("x",e,t,n),k("mean",e,t,n),k("variance",e,t,n),k("offset",e,t,n),k("scale",e,t,n),k("epsilon",e,t,n))];case"LRN":return[a.localResponseNormalization(k("x",e,t,n),k("radius",e,t,n),k("bias",e,t,n),k("alpha",e,t,n),k("beta",e,t,n))];case"Softmax":return[a.softmax(k("x",e,t,n))];case"LogSoftmax":return[a.logSoftmax(k("x",e,t,n))];case"SparseToDense":return[a.sparseToDense(k("sparseIndices",e,t,n),k("outputShape",e,t,n),k("sparseValues",e,t,n),k("defaultValue",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},o6=(e,t,n,a=un)=>{switch(e.op){case"Max":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.max(k("x",e,t,n),o,l)]}case"Mean":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.mean(k("x",e,t,n),o,l)]}case"Min":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.min(k("x",e,t,n),o,l)]}case"Sum":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.sum(k("x",e,t,n),o,l)]}case"All":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.all(k("x",e,t,n),o,l)]}case"Any":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.any(k("x",e,t,n),o,l)]}case"ArgMax":{let o=k("axis",e,t,n);return[a.argMax(k("x",e,t,n),o)]}case"ArgMin":{let o=k("axis",e,t,n);return[a.argMin(k("x",e,t,n),o)]}case"Prod":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.prod(k("x",e,t,n),o,l)]}case"Cumprod":{let o=k("axis",e,t,n),l=k("exclusive",e,t,n),u=k("reverse",e,t,n);return[a.cumprod(k("x",e,t,n),o,l,u)]}case"Cumsum":{let o=k("axis",e,t,n),l=k("exclusive",e,t,n),u=k("reverse",e,t,n);return[a.cumsum(k("x",e,t,n),o,l,u)]}case"Bincount":let r=k("x",e,t,n),s=k("weights",e,t,n),i=k("size",e,t,n);return[a.bincount(r,s,i)];case"DenseBincount":{let o=k("x",e,t,n),l=k("weights",e,t,n),u=k("size",e,t,n),p=k("binaryOutput",e,t,n);return[a.denseBincount(o,l,u,p)]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},l6=(e,t,n,a=un)=>{switch(e.op){case"ConcatV2":case"Concat":{let r=k("n",e,t,n),s=k("axis",e,t,n),i=k("tensors",e,t,n);return i=i.slice(0,r),[a.concat(i,s)]}case"Gather":{let r=k("x",e,t,n),s=k("indices",e,t,n);return[a.gather(r,a.cast(s,"int32"),0)]}case"GatherV2":{let r=k("axis",e,t,n),s=k("batchDims",e,t,n),i=k("x",e,t,n),o=k("indices",e,t,n);return[a.gather(i,a.cast(o,"int32"),r,s)]}case"Reverse":{let r=k("dims",e,t,n),s=[];for(let o=0;o{let r=k("axis",e,t,n),s=k("tensors",e,t,n),i=s[0].shape,o=a.squeeze(s[0]).shape,l=s.map(u=>{let p=v.arraysEqual(u.shape,i);if(!p&&!v.arraysEqual(a.squeeze(u).shape,o))throw new Error("the input tensors shape does not match");return p?u:a.reshape(u,i)});return[a.stack(l,r)]});case"Unpack":{let r=k("axis",e,t,n),s=k("tensor",e,t,n);return a.unstack(s,r)}case"Tile":{let r=k("reps",e,t,n);return[a.tile(k("x",e,t,n),r)]}case"Split":case"SplitV":{let r=k("axis",e,t,n),s=k("numOrSizeSplits",e,t,n),i=k("x",e,t,n);return a.split(i,s,r)}case"ScatterNd":{let r=k("indices",e,t,n),s=k("values",e,t,n),i=k("shape",e,t,n);return[a.scatterND(r,s,i)]}case"GatherNd":{let r=k("x",e,t,n),s=k("indices",e,t,n);return[a.gatherND(r,s)]}case"SparseToDense":{let r=k("sparseIndices",e,t,n),s=k("outputShape",e,t,n),i=k("sparseValues",e,t,n),o=k("defaultValue",e,t,n);return[a.sparseToDense(r,i,s,i.dtype===o.dtype?o:a.cast(o,i.dtype))]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},u6=(e,t,n,a=un)=>{switch(e.op){case"SparseFillEmptyRows":{let{outputIndices:r,outputValues:s,emptyRowIndicator:i,reverseIndexMap:o}=a.sparse.sparseFillEmptyRows(k("indices",e,t,n),k("values",e,t,n),k("denseShape",e,t,n),k("defaultValue",e,t,n));return[r,s,i,o]}case"SparseReshape":{let{outputIndices:r,outputShape:s}=a.sparse.sparseReshape(k("inputIndices",e,t,n),k("inputShape",e,t,n),k("newShape",e,t,n));return[r,s]}case"SparseSegmentMean":return[a.sparse.sparseSegmentMean(k("data",e,t,n),k("indices",e,t,n),k("segmentIds",e,t,n))];case"SparseSegmentSum":return[a.sparse.sparseSegmentSum(k("data",e,t,n),k("indices",e,t,n),k("segmentIds",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},p6=(e,t,n,a=un)=>{switch(e.op){case"FFT":return[a.fft(k("x",e,t,n))];case"IFFT":return[a.ifft(k("x",e,t,n))];case"RFFT":return[a.rfft(k("x",e,t,n))];case"IRFFT":return[a.irfft(k("x",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},c6=(e,t,n,a=un)=>{switch(e.op){case"StringNGrams":{let{nGrams:r,nGramsSplits:s}=a.string.stringNGrams(k("data",e,t,n),k("dataSplits",e,t,n),k("separator",e,t,n),k("nGramWidths",e,t,n),k("leftPad",e,t,n),k("rightPad",e,t,n),k("padWidth",e,t,n),k("preserveShortSequences",e,t,n));return[r,s]}case"StringSplit":{let{indices:r,values:s,shape:i}=a.string.stringSplit(k("input",e,t,n),k("delimiter",e,t,n),k("skipEmpty",e,t,n));return[r,s,i]}case"StringToHashBucketFast":return[a.string.stringToHashBucketFast(k("input",e,t,n),k("numBuckets",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},d6=(e,t,n,a=un)=>{switch(e.op){case"Cast":return[a.cast(k("x",e,t,n),k("dtype",e,t,n))];case"ExpandDims":{let r=k("axis",e,t,n);return[a.expandDims(k("x",e,t,n),r)]}case"Squeeze":{let r=k("axis",e,t,n);return[a.squeeze(k("x",e,t,n),r)]}case"Reshape":return[a.reshape(k("x",e,t,n),k("shape",e,t,n))];case"MirrorPad":return[a.mirrorPad(k("x",e,t,n),k("padding",e,t,n),k("mode",e,t,n))];case"PadV2":case"Pad":return[a.pad(k("x",e,t,n),k("padding",e,t,n),k("constantValue",e,t,n))];case"SpaceToBatchND":{let r=k("blockShape",e,t,n),s=k("paddings",e,t,n);return[a.spaceToBatchND(k("x",e,t,n),r,s)]}case"BatchToSpaceND":{let r=k("blockShape",e,t,n),s=k("crops",e,t,n);return[a.batchToSpaceND(k("x",e,t,n),r,s)]}case"DepthToSpace":{let r=k("blockSize",e,t,n),s=k("dataFormat",e,t,n).toUpperCase();return[a.depthToSpace(k("x",e,t,n),r,s)]}case"BroadcastTo":return[a.broadcastTo(k("x",e,t,n),k("shape",e,t,n))];case"BroadcastArgs":return[a.broadcastArgs(k("s0",e,t,n),k("s1",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function Xk(e,t,n,a,r=P){let s=((i,o,l)=>{switch(i.category){case"arithmetic":return r(()=>VH(i,o,l));case"basic_math":return r(()=>UH(i,o,l));case"control":return XH(i,o,l);case"convolution":return r(()=>YH(i,o,l));case"creation":return r(()=>ZH(i,o,l));case"dynamic":return JH(i,o,l);case"evaluation":return r(()=>QH(i,o,l));case"image":return r(()=>a6(i,o,l));case"graph":return r(()=>e6(i,o,l));case"logical":return r(()=>r6(i,o,l));case"matrices":return r(()=>s6(i,o,l));case"normalization":return r(()=>i6(i,o,l));case"reduction":return r(()=>o6(i,o,l));case"slice_join":return r(()=>l6(i,o,l));case"sparse":return r(()=>u6(i,o,l));case"spectral":return r(()=>p6(i,o,l));case"string":return r(()=>c6(i,o,l));case"transformation":return r(()=>d6(i,o,l));case"hash_table":return n6(i,o,l,a);case"custom":let u=h2(i.op);if(u&&u.customExecutor)return u.customExecutor(new WH(i,o,l));throw TypeError(`Custom op ${i.op} is not registered.`);default:throw TypeError(`Unknown op '${i.op}'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()`)}})(e,t,n);return v.isPromise(s)?s.then(i=>[].concat(i)):[].concat(s)}var Yk=class{constructor(e={},t={},n={},a={}){this.weightMap=e,this.tensorArrayMap=t,this.tensorListMap=n,this.functionMap=a,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}newFrame(e,t){return{id:e,frameName:t,iterationId:0}}set currentContext(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())}get currentContext(){return this.contexts}get currentContextId(){return this._currentContextIds[0]}get currentContextIds(){return this._currentContextIds}generateCurrentContextIds(){let e=[];for(let t=0;tt.id===0&&t.iterationId===0?"":`${t.frameName}-${t.iterationId}`).join("/"):""}enterFrame(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}exitFrame(){if(this.contexts&&this.contexts.length>1)this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift();else throw new Error("Cannot exit frame, the context is empty")}nextIteration(){if(this.contexts&&this.contexts.length>0){this.contexts=this.contexts.slice(),this.lastId++;let e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}else throw new Error("Cannot increase frame iteration, the context is empty")}getWeight(e){return this.weightMap[e]}addTensorArray(e){this.tensorArrayMap[e.id]=e}getTensorArray(e){return this.tensorArrayMap[e]}addTensorList(e){this.tensorListMap[e.id]=e}getTensorList(e){return this.tensorListMap[e]}dispose(e){for(let t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(let t in this.tensorListMap)this.tensorListMap[t].clearAndClose(e)}};function Zk(e,t,n,a){let r=new Set,s=[],i=null,o=null,l=new Set,u=Object.keys(e).map(c=>Xn(c)[0]),p=[];a!=null&&(p=a.map(c=>Xn(c.name)[0]));let d=[...t];for(;d.length>0;){let c=d.pop();if((M2(c)||b6(c)||y6(c))&&i==null&&(i=c,o=i.children.map(h=>h.name).filter(h=>r.has(h))),r.add(c.name),n[c.name]==null&&u.indexOf(c.name)===-1&&p.indexOf(c.name)===-1){if(c.inputs.length===0){s.push(c.name);continue}c.inputs.forEach(h=>{l.has(h.name)||(l.add(h.name),d.push(h))})}}return{inputs:e,outputs:t,usedNodes:r,missingInputs:s,dynamicNode:i,syncInputs:o}}function h6(e,t,n){let{usedNodes:a,inputs:r}=n,s=[],i=Object.keys(r).map(p=>Xn(p)[0]).map(p=>e.nodes[p]),o=e.initNodes;i.forEach(p=>{a.has(p.name)&&s.push(p)}),e.weights.forEach(p=>{a.has(p.name)&&s.push(p)}),o!=null&&o.forEach(p=>{a.has(p.name)&&s.push(p)});let l=new Set,u=[];for(;s.length>0;){let p=s.pop();l.add(p.name),t[p.name]||u.push(p),p.children.forEach(d=>{!l.has(d.name)&&a.has(d.name)&&d.inputs.every(c=>l.has(c.name))&&s.push(d)})}return u}var m6=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],f6=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"],g6=["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2","LookupTableSize","LookupTableSizeV2"];function M2(e){return m6.indexOf(e.op)>=0}function b6(e){return f6.indexOf(e.op)>=0}function y6(e){return g6.indexOf(e.op)>=0}var lx=class{constructor(e,t){this.graph=e,this.parent=t,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._functions={},this._functionExecutorMap={},this.intermediateTensors={},this.keepTensorForDebug=!1,this._outputs=e.outputs,this._inputs=e.inputs,this._initNodes=e.initNodes,this._signature=e.signature,this._functions=e.functions,e.functions!=null&&Object.keys(e.functions).forEach(n=>{this._functionExecutorMap[n]=new lx(e.functions[n],this)})}get weightIds(){return this.parent?this.parent.weightIds:this._weightIds}get functionExecutorMap(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}get weightMap(){return this.parent?this.parent.weightMap:this._weightMap}set weightMap(e){let t=Object.keys(e).map(n=>e[n].map(a=>a.id));this._weightIds=[].concat(...t),this._weightMap=e}set resourceManager(e){this._resourceManager=e}get inputs(){return this._inputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get outputs(){return this._outputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get inputNodes(){return this._inputs.map(e=>e.signatureKey||e.name)}get outputNodes(){return this._outputs.map(e=>{let t=e.signatureKey||e.name;return e.defaultOutput?`${t}:${e.defaultOutput}`:t})}get functions(){return Object.keys(this._functions).reduce((e,t)=>(e[t]=this._functions[t].signature,e),{})}getCompilationKey(e,t){let n=e.map(r=>r.name).sort(),a=t.map(r=>r.name).sort();return n.join(this.SEPERATOR)+"--"+a.join(this.SEPERATOR)}compile(e,t){let n=Zk(e,t,this.weightMap,this._initNodes),{missingInputs:a,dynamicNode:r,syncInputs:s}=n;if(r!=null)throw new Error(`This execution contains the node '${r.name}', which has the dynamic op '${r.op}'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs [${s}]`);if(a.length>0){let i=t.map(l=>l.name),o=Object.keys(e);throw new Error(`Cannot compute the outputs [${i}] from the provided inputs [${o}]. Missing the following inputs: [${a}]`)}return h6(this.graph,this.weightMap,n)}execute(e,t){e=this.mapInputs(e);let n=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);let a=n.map(p=>this.graph.nodes[Xn(p)[0]]),r=t.map(p=>Xn(p)[0]),s=r.map(p=>this.graph.nodes[p]);this.resetIntermediateTensors(),s.length===0&&(s=this._outputs);let i=this.getCompilationKey(a,s),o=this.compiledMap.get(i);o==null&&(o=this.compile(e,s),this.compiledMap.set(i,o));let l={},u={};return P(()=>{let p=new Yk(this.weightMap,l,u,this.functionExecutorMap),d=Object.assign({},this.weightMap);Object.keys(e).forEach(m=>{let[f,g]=Xn(m),b=[];b[g]=e[m],d[f]=b});let c=this.getFrozenTensorIds(d),h={};for(let m=0;mwn(m,d,p))})}getFrozenTensorIds(e){let t=[].concat.apply([],Object.keys(e).map(n=>e[n]).map(n=>n.map(a=>a.id)));return new Set(t)}checkTensorForDisposal(e,t,n,a,r,s,i){t.category==="control"||s.indexOf(e)!==-1||(n[e].forEach(o=>{o!=null&&(i[o.id]=(i[o.id]||0)+t.children.length)}),t.inputs.forEach(o=>{if(o.category!=="control"){let l=vH(o.name,n,a);l!=null&&l.forEach(u=>{if(u&&!u.kept&&!r.has(u.id)){let p=i[u.id];if(p===1){if(!this.keepTensorForDebug)u.dispose();else{let[d,c]=rr(t.name,a);this.intermediateTensors[d]?this.intermediateTensors[d][c]=u:(this.intermediateTensors[d]=[],this.intermediateTensors[d][c]=u)}delete i[u.id]}else p!=null&&i[u.id]--}})}}))}async executeAsync(e,t){return this._executeAsync(e,t)}disposeIntermediateTensors(){!this.intermediateTensors||(Object.keys(this.intermediateTensors).forEach(e=>this.intermediateTensors[e].forEach(t=>t.dispose())),this.disposeTensorsMap())}disposeTensorsMap(){!this.tensorsMap||Object.keys(this.tensorsMap).forEach(e=>{this.tensorsMap[e].forEach(t=>{t&&!t.kept&&!t.isDisposed&&!this.keepIds.has(t.id)&&t.dispose()})})}getIntermediateTensors(){return this.tensorsMap}resetIntermediateTensors(){for(let e in this.intermediateTensors)this.intermediateTensors[e].forEach(t=>t.dispose()),delete this.intermediateTensors[e]}async _executeAsync(e,t,n=!1,a={},r={}){n||(e=this.mapInputs(e),this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t));try{this.keepTensorForDebug=H().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(u){console.warn(u.message)}this.resetIntermediateTensors();let s=new Yk(this.weightMap,a,r,this.functionExecutorMap);this.tensorsMap=await this.executeWithControlFlow(e,s,t,n);let i=t.map(u=>wn(u,this.tensorsMap,s)),o=i.map(u=>u.id),l=Object.keys(e).map(u=>e[u].id);return this.keepIds=new Set([...o,...l,...this.weightIds]),this.keepTensorForDebug||this.disposeTensorsMap(),this.parent==null&&s.dispose(this.keepIds),i}async executeFunctionAsync(e,t,n){let a=e.reduce((r,s,i)=>(r[this.inputs[i].name]=s,r),{});return this._executeAsync(a,this.outputNodes,!0,t,n)}async executeWithControlFlow(e,t,n,a){let r=Object.keys(e),s=r.map(y=>this.graph.nodes[Xn(y)[0]]),i=n.map(y=>Xn(y)[0]),o=i.map(y=>this.graph.nodes[y]);o.length===0&&(o=this._outputs);let{usedNodes:l,missingInputs:u,dynamicNode:p,syncInputs:d}=Zk(e,o,this.weightMap,this._initNodes),c=[...s,...this.graph.weights,...this._initNodes||[]].map(y=>({node:y,contexts:t.currentContext})),h=Object.assign({},this.weightMap);Object.keys(e).forEach(y=>{let[x,w]=Xn(y),I=[];I[w]=e[y],h[x]=I});let m={},f=this.getFrozenTensorIds(h),g={};for(;c.length>0;){let y=this.processStack(s,c,t,h,g,f,i,m,l);await Promise.all(y)}p==null&&!a&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead.");let b=o.filter(y=>!M2(y)&&!wn(y.name,h,t)).map(y=>y.name);if(b.length>0){let y="";throw p!=null&&(y=`Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs [${d}]`),new Error(`Cannot compute the outputs [${b}] from the provided inputs [${r}]. Consider providing the following inputs: [${u}]. ${y}`)}return h}processStack(e,t,n,a,r,s,i,o,l){let u=[];for(;t.length>0;){let p=t.pop();n.currentContext=p.contexts;let d="";if(p.node.op==="Enter"&&k("isConstant",p.node,a,n)&&([d]=rr(p.node.name,n)),a[p.node.name]==null){let c=Xk(p.node,a,n,this._resourceManager);d||([d]=rr(p.node.name,n));let h=n.currentContext;v.isPromise(c)?u.push(c.then(m=>(a[d]=m,n.currentContext=h,this.checkTensorForDisposal(d,p.node,a,n,s,i,o),this.processChildNodes(p.node,t,n,a,r,l),m))):(a[d]=c,this.checkTensorForDisposal(d,p.node,a,n,s,i,o),this.processChildNodes(p.node,t,n,a,r,l))}else this.processChildNodes(p.node,t,n,a,r,l)}return u}processChildNodes(e,t,n,a,r,s){e.children.forEach(i=>{let[o]=rr(i.name,n);r[o]||!s.has(i.name)||(i.op==="Merge"?i.inputNames.some(l=>!!wn(l,a,n))&&(r[o]=!0,t.push({contexts:n.currentContext,node:i})):i.inputNames.every(l=>!!wn(l,a,n))&&(r[o]=!0,t.push({contexts:n.currentContext,node:i})))})}dispose(){Object.keys(this.weightMap).forEach(e=>this.weightMap[e].forEach(t=>t.dispose()))}checkInputShapeAndType(e){Object.keys(e).forEach(t=>{let n=e[t],[a]=Xn(t),r=this.graph.nodes[a];if(r.attrParams.shape&&r.attrParams.shape.value){let s=r.attrParams.shape.value,i=s.length===n.shape.length&&n.shape.every((o,l)=>s[l]===-1||s[l]===o);v.assert(i,()=>`The shape of dict['${r.name}'] provided in model.execute(dict) must be [${s}], but was [${n.shape}]`)}r.attrParams.dtype&&r.attrParams.dtype.value&&v.assert(n.dtype===r.attrParams.dtype.value,()=>`The dtype of dict['${r.name}'] provided in model.execute(dict) must be ${r.attrParams.dtype.value}, but was ${n.dtype}`)})}mapInputs(e){let t={};for(let n in e)if(this._signature!=null&&this._signature.inputs!=null&&this._signature.inputs[n]!=null){let a=this._signature.inputs[n];t[a.name]=e[n]}else t[n]=e[n];return t}checkInputs(e){let t=Object.keys(e).filter(n=>{let[a]=Xn(n);return this.graph.nodes[a]==null});if(t.length>0)throw new Error(`The dict provided in model.execute(dict) has keys: [${t}] that are not part of graph`)}mapOutputs(e){return e.map(t=>this._signature!=null&&this._signature.outputs!=null&&this._signature.outputs[t]!=null?this._signature.outputs[t].name:t,{})}checkOutputs(e){e.forEach(t=>{let[n]=Xn(t);if(!this.graph.nodes[n])throw new Error(`The output '${t}' is not found in the graph`)})}},x6=class{constructor(e={},t={}){this.hashTableNameToHandle=e,this.hashTableMap=t}addHashTable(e,t){this.hashTableNameToHandle[e]=t.handle,this.hashTableMap[t.id]=t}getHashTableHandleByName(e){return this.hashTableNameToHandle[e]}getHashTableById(e){return this.hashTableMap[e]}dispose(){for(let e in this.hashTableMap)this.hashTableMap[e].clearAndClose(),delete this.hashTableMap[e];for(let e in this.hashTableNameToHandle)this.hashTableNameToHandle[e].dispose(),delete this.hashTableNameToHandle[e]}},v6="?tfjs-format=file",w6="model.json",N0=class{constructor(e,t={},n=Ut){this.modelUrl=e,this.loadOptions=t,this.version="n/a",this.io=n,t==null&&(this.loadOptions={}),this.resourceManager=new x6}get modelVersion(){return this.version}get inputNodes(){return this.executor.inputNodes}get outputNodes(){return this.executor.outputNodes}get inputs(){return this.executor.inputs}get outputs(){return this.executor.outputs}get weights(){return this.executor.weightMap}get metadata(){return this.artifacts.userDefinedMetadata}get modelSignature(){return this.signature}get modelStructuredOutputKeys(){return this.structuredOutputKeys}findIOHandler(){let e=this.modelUrl;if(e.load!=null)this.handler=e;else if(this.loadOptions.requestInit!=null)this.handler=this.io.browserHTTPRequest(e,this.loadOptions);else{let t=this.io.getLoadHandlers(e,this.loadOptions);if(t.length===0)t.push(this.io.browserHTTPRequest(e,this.loadOptions));else if(t.length>1)throw new Error(`Found more than one (${t.length}) load handlers for URL '${[e]}'`);this.handler=t[0]}}load(){if(this.findIOHandler(),this.handler.load==null)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let e=this.handler.load();return v.isPromise(e)?e.then(t=>this.loadSync(t)):this.loadSync(e)}loadSync(e){this.artifacts=e;let t=this.artifacts.modelTopology,n=this.artifacts.signature;if(this.artifacts.userDefinedMetadata!=null){let r=this.artifacts.userDefinedMetadata;r.signature!=null&&(n=r.signature),r.structuredOutputKeys!=null&&(this.structuredOutputKeys=r.structuredOutputKeys)}this.signature=n,this.version=`${t.versions.producer}.${t.versions.minConsumer}`;let a=this.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new lx(Hk.Instance.transformGraph(t,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(a),this.executor.resourceManager=this.resourceManager,e.modelInitializer!=null&&e.modelInitializer.node!=null){let r=Hk.Instance.transformGraph(e.modelInitializer);this.initializer=new lx(r),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializer.executeAsync({},[])}return!0}async save(e,t){if(typeof e=="string"){let n=this.io.getSaveHandlers(e);if(n.length===0)throw new Error(`Cannot find any save handlers for URL '${e}'`);if(n.length>1)throw new Error(`Found more than one (${n.length}) save handlers for URL '${e}'`);e=n[0]}if(e.save==null)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return e.save(this.artifacts)}predict(e,t){let n=this.execute(e,this.outputNodes);if(this.structuredOutputKeys){let a=n instanceof Te?[n]:n,r={};return a.forEach((s,i)=>r[this.structuredOutputKeys[i]]=s),r}return n}normalizeInputs(e){if(!(e instanceof Te)&&!Array.isArray(e))return e;if(e=Array.isArray(e)?e:[e],e.length!==this.inputNodes.length)throw new Error(`Input tensor count mismatch,the graph model has ${this.inputNodes.length} placeholders, while there are ${e.length} input tensors.`);return this.inputNodes.reduce((t,n,a)=>(t[n]=e[a],t),{})}normalizeOutputs(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]}execute(e,t){e=this.normalizeInputs(e),t=this.normalizeOutputs(t);let n=this.executor.execute(e,t);return n.length>1?n:n[0]}async executeAsync(e,t){e=this.normalizeInputs(e),t=this.normalizeOutputs(t);let n=await this.executor.executeAsync(e,t);return n.length>1?n:n[0]}getIntermediateTensors(){return this.executor.getIntermediateTensors()}disposeIntermediateTensors(){this.executor.disposeIntermediateTensors()}convertTensorMapToTensorsMap(e){return Object.keys(e).reduce((t,n)=>(t[n]=[e[n]],t),{})}dispose(){this.executor.dispose(),this.initializer&&this.initializer.dispose(),this.resourceManager.dispose()}};async function k6(e,t={},n=Ut){if(e==null)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");t==null&&(t={}),t.fromTFHub&&typeof e=="string"&&(e=S6(e));let a=new N0(e,t,n);return await a.load(),a}function I6(e){if(e==null)throw new Error("modelUrl in loadGraphModelSync() cannot be null. Please provide model artifacts or an IOHandler that loads the model");let t;if(e instanceof Array){let[a,r]=e;if(!a)throw new Error("modelJSON must be the first element of the array");if(!r||!(r instanceof ArrayBuffer))throw new Error("An ArrayBuffer of weights must be the second element of the array");if(!("modelTopology"in a))throw new Error("Model JSON is missing 'modelTopology'");if(!("weightsManifest"in a))throw new Error("Model JSON is missing 'weightsManifest'");let s=Ut.getWeightSpecs(a.weightsManifest),i=Ut.getModelArtifactsForJSONSync(a,s,r);t=Ut.fromMemorySync(i)}else if("load"in e)t=e;else if("modelTopology"in e&&"weightSpecs"in e&&"weightData"in e)t=Ut.fromMemorySync(e);else throw new Error("Unknown model format");let n=new N0(t);return n.load(),n}function S6(e){return e.endsWith("/")||(e=e+"/"),`${e}${w6}${v6}`}var T6="3.21.0",P2={};_e(P2,{CSVDataset:()=>H2,Dataset:()=>Hu,FileDataSource:()=>J2,TextLineDataset:()=>G2,URLDataSource:()=>Q2,array:()=>K6,csv:()=>sj,func:()=>ij,generator:()=>oj,microphone:()=>uj,version_data:()=>pj,webcam:()=>lj,zip:()=>X6});var N6=hs(sm()),C6=hs(sm());function _6(e,t){return Xh(e,t)}function Xh(e,t,n=new Map,a=new Set){if(e==null)return null;if(typeof Blob=="function"&&e instanceof Blob)return e.slice();if(a.has(e))throw new Error("Circular references are not supported.");if(n.has(e))return n.get(e);let r=t(e);if(r.recurse&&r.value!==null)throw new Error("A deep map function may not return both a value and recurse=true.");if(r.recurse)if(Tl(e)){let s=Array.isArray(e)?[]:{};a.add(e);for(let i in e){let o=e[i],l=Xh(o,t,n,a);s[i]=l}return a.delete(e),e.__proto__&&(s.__proto__=e.__proto__),s}else throw new Error(`Can't recurse into non-iterable type: ${e}`);else return n.set(e,r.value),r.value}function E6(e,t=L2){return O2(e,t)}function O2(e,t,n=new Set){let a=e[0];if(n.has(a))throw new Error("Circular references are not supported.");let r=t(e);if(r.recurse&&r.value!==null)throw new Error("A deep zip function may not return both a value and recurse=true.");if(r.recurse)if(Tl(a)){let s=Array.isArray(a)?[]:{};n.add(a);for(let i in a){let o=e.map(u=>u[i]),l=O2(o,t,n);s[i]=l}return n.delete(a),s}else throw new Error(`Can't recurse into non-iterable type: ${a}`);else return r.value}function L2(e){return e===null?null:Tl(e[0])?{value:null,recurse:!0}:{value:e,recurse:!1}}async function z2(e,t){let n=new Map;Xh(e,t,n);for(let a of Array.from(n.keys())){let r=n.get(a);if(v.isPromise(r)){let s=await r;n.set(a,s)}}return Xh(e,t,n)}function Tl(e){let t=!1;if(H().get("IS_BROWSER"))t=e instanceof TextDecoder;else{let{StringDecoder:n}=RI();t=e instanceof n}return e!=null&&!ArrayBuffer.isView(e)&&(Array.isArray(e)||typeof e=="object"&&!(e instanceof Te)&&!(e instanceof Promise)&&!t)}function A6(e){return e==null||$6(e)||Array.isArray(e)||typeof e=="object"&&e instanceof Te||v.isTypedArray(e)}function $6(e){return e===null||typeof e!="object"&&typeof e!="function"}function F6(e){return _6(e,D6)}function D6(e){return e instanceof Te?{value:e.clone(),recurse:!1}:Tl(e)?{value:null,recurse:!0}:{value:e,recurse:!1}}var B2=class{constructor(e){if(this.capacity=e,this.begin=0,this.end=0,e==null)throw new RangeError("Can't create a ring buffer of unknown capacity.");if(e<1)throw new RangeError("Can't create ring buffer of capacity < 1.");this.data=new Array(e),this.doubledCapacity=2*e}wrap(e){for(;e<0;)e+=this.doubledCapacity;return e%this.doubledCapacity}get(e){if(e<0)throw new RangeError("Can't get item at a negative index.");return this.data[e%this.capacity]}set(e,t){if(e<0)throw new RangeError("Can't set item at a negative index.");this.data[e%this.capacity]=t}length(){let e=this.end-this.begin;return e<0&&(e=this.doubledCapacity+e),e}isFull(){return this.length()===this.capacity}isEmpty(){return this.length()===0}push(e){if(this.isFull())throw new RangeError("Ring buffer is full.");this.set(this.end,e),this.end=this.wrap(this.end+1)}pushAll(e){for(let t of e)this.push(t)}pop(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");this.end=this.wrap(this.end-1);let e=this.get(this.end);return this.set(this.end,void 0),e}unshift(e){if(this.isFull())throw new RangeError("Ring buffer is full.");this.begin=this.wrap(this.begin-1),this.set(this.begin,e)}shift(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");let e=this.get(this.begin);return this.set(this.begin,void 0),this.begin=this.wrap(this.begin+1),e}shuffleExcise(e){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");let t=this.wrap(this.begin+e),n=this.get(t);return this.set(t,this.pop()),n}},C0=class extends B2{constructor(){super(C0.INITIAL_CAPACITY)}isFull(){return!1}push(e){super.isFull()&&this.expand(),super.push(e)}unshift(e){super.isFull()&&this.expand(),super.unshift(e)}expand(){let e=this.capacity*2,t=new Array(e),n=this.length();for(let a=0;at===!0)}rowMajorBatch(e,t=!0){return new W6(this,e,t)}columnMajorBatch(e,t=!0,n=L2){return this.rowMajorBatch(e,t).map(a=>E6(a,n))}concatenate(e,t){return new V2(W2([this,e]),t)}take(e){return e<0||e==null?this:new B6(this,e)}skip(e){return e<0||e==null?this:new z6(this,e)}prefetch(e){return new U2(this,e)}shuffle(e,t){return new q6(this,e,t)}serial(){return new L6(this)}},P6=class extends en{constructor(e){super(),this.items=e,this.trav=0}summary(){return`Array of ${this.items.length} items`}async next(){if(this.trav>=this.items.length)return{value:null,done:!0};let e=this.items[this.trav];return this.trav++,{value:F6(e),done:!1}}},O6=class extends en{constructor(e){super(),this.nextFn=e}summary(){return"Function call"}async next(){try{return this.nextFn()}catch(e){throw e.message=`Error thrown while iterating through a dataset: ${e.message}`,e}}},L6=class extends en{constructor(e){super(),this.upstream=e,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Serial`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){return this.upstream.next()}},z6=class extends en{constructor(e,t){super(),this.upstream=e,this.maxCount=t,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Skip`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.count++ Take`}async next(){return this.count++>=this.maxCount?{value:null,done:!0}:this.upstream.next()}},W6=class extends en{constructor(e,t,n=!0){super(),this.upstream=e,this.batchSize=t,this.enableSmallLastBatch=n,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> RowMajorBatch`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){let e=[];for(;e.length0?{value:e,done:!1}:{value:null,done:!0};e.push(t.value)}return{value:e,done:!1}}},V6=class extends en{constructor(e,t){super(),this.upstream=e,this.predicate=t,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Filter`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;){let e=await this.upstream.next();if(e.done||this.predicate(e.value))return e;$e(e.value)}}},U6=class extends en{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> Map`}async next(){let e=await this.upstream.next();if(e.done)return{value:null,done:!0};let t=Ba.getTensorsInContainer(e.value),n=this.transform(e.value),a=Ba.getTensorsInContainer(n);for(let r of t)Ba.isTensorInList(r,a)||r.dispose();return{value:n,done:!1}}},G6=class extends en{constructor(e,t){super(),this.upstream=e,this.handler=t,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> handleErrors`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;)try{return await this.upstream.next()}catch(e){if(!this.handler(e))return{value:null,done:!0}}}},Jk=class extends en{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> AsyncMap`}async next(){let e=await this.upstream.next();if(e.done)return{value:null,done:!0};let t=Ba.getTensorsInContainer(e.value),n=await this.transform(e.value),a=Ba.getTensorsInContainer(n);for(let r of t)Ba.isTensorInList(r,a)||r.dispose();return{value:n,done:!1}}},E0=class extends en{constructor(){super(),this.outputQueue=new C0,this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.outputQueue.length()===0;)if(!await this.pump())return{value:null,done:!0};return{value:this.outputQueue.shift(),done:!1}}},H6=class extends E0{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> Flatmap`}async pump(){let e=await this.upstream.next();if(e.done)return!1;let t=Ba.getTensorsInContainer(e.value),n=this.transform(e.value),a=Ba.getTensorsInContainer(n);this.outputQueue.pushAll(n);for(let r of t)Ba.isTensorInList(r,a)||r.dispose();return!0}},V2=class extends en{constructor(e,t){super(),this.baseErrorHandler=t,this.lastRead=null,this.iterator=null,this.moreIterators=e}summary(){return"TODO: fill in upstream of chained summaries -> Chained"}async next(){return this.lastRead=this.readFromChain(this.lastRead),this.lastRead}async readFromChain(e){if(await e,this.iterator==null){let n=await this.moreIterators.next();if(n.done)return{value:null,done:!0};this.iterator=n.value,this.baseErrorHandler!=null&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler))}let t=await this.iterator.next();return t.done?(this.iterator=null,this.readFromChain(e)):t}},es;(function(e){e[e.FAIL=0]="FAIL",e[e.SHORTEST=1]="SHORTEST",e[e.LONGEST=2]="LONGEST"})(es||(es={}));var j6=class extends en{constructor(e,t=es.FAIL){super(),this.iterators=e,this.mismatchMode=t,this.count=0,this.currentPromise=null}summary(){return"{TODO: fill in upstream of zip summaries} -> Zip"}async nextState(e){await e;let t=0,n=0;function a(s){return s instanceof en?{value:s.next().then(i=>(t++,i.done&&n++,i.value)),recurse:!1}:{value:null,recurse:!0}}let r=await z2(this.iterators,a);if(t===n)return{value:null,done:!0};if(n>0)switch(this.mismatchMode){case es.FAIL:throw new Error(`Zipped streams should have the same length. Mismatched at element ${this.count}.`);case es.SHORTEST:return{value:null,done:!0};case es.LONGEST:default:}return this.count++,{value:r,done:!1}}async next(){return this.currentPromise=this.nextState(this.currentPromise),this.currentPromise}},U2=class extends en{constructor(e,t){super(),this.upstream=e,this.bufferSize=t,this.buffer=new B2(t)}summary(){return`${this.upstream.summary()} -> Prefetch`}refill(){for(;!this.buffer.isFull();){let e=this.upstream.next();this.buffer.push(e)}}next(){return this.refill(),this.buffer.shift()}},q6=class extends U2{constructor(e,t,n){super(e,t),this.upstream=e,this.windowSize=t,this.upstreamExhausted=!1,this.random=C6.alea(n||v.now().toString()),this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}randomInt(e){return Math.floor(this.random()*e)}chooseIndex(){return this.randomInt(this.buffer.length())}async serialNext(){for(this.upstreamExhausted||this.refill();!this.buffer.isEmpty();){let e=this.chooseIndex(),t=await this.buffer.shuffleExcise(e);if(t.done)this.upstreamExhausted=!0;else return this.refill(),t}return{value:null,done:!0}}},Hu=class{constructor(){this.size=null}batch(e,t=!0){let n=this;v.assert(e>0,()=>`batchSize needs to be positive, but it is - ${e}`);let a;return this.size===1/0||this.size==null?a=this.size:t?a=Math.ceil(this.size/e):a=Math.floor(this.size/e),Kn(async()=>(await n.iterator()).columnMajorBatch(e,t,Y6),a)}concatenate(e){let t=this,n;return this.size===1/0||e.size===1/0?n=1/0:this.size!=null&&e.size!=null?n=this.size+e.size:n=null,Kn(async()=>(await t.iterator()).concatenate(await e.iterator()),n)}filter(e){let t=this,n;return this.size===1/0?n=1/0:n=null,Kn(async()=>(await t.iterator()).filter(a=>P(()=>e(a))),n)}async forEachAsync(e){return(await this.iterator()).forEachAsync(e)}map(e){let t=this;return Kn(async()=>(await t.iterator()).map(n=>P(()=>e(n))),this.size)}mapAsync(e){let t=this;return Kn(async()=>(await t.iterator()).mapAsync(e),this.size)}prefetch(e){if(e==null)throw new RangeError("`Dataset.prefetch()` requires bufferSize to be specified.");let t=this;return Kn(async()=>(await t.iterator()).prefetch(e),this.size)}repeat(e){let t=this,n;return this.size!=null&&e>0?n=this.size*e:e===0?n=0:this.size!=null&&(e===void 0||e<0)?n=1/0:n=null,Kn(async()=>{let a=_0(async()=>({value:await t.iterator(),done:!1}));return R6(a.take(e))},n)}skip(e){let t=this,n;return this.size!=null&&e>=0&&this.size>=e?n=this.size-e:this.size!=null&&(this.size(await t.iterator()).skip(e),n)}shuffle(e,t,n=!0){if(e==null||e<0)throw this.size==null?new RangeError("`Dataset.shuffle()` requires bufferSize to be specified."):new RangeError(`\`Dataset.shuffle()\` requires bufferSize to be specified. If your data fits in main memory (for regular JS objects), and/or GPU memory (for \`tf.Tensor\`s), consider setting bufferSize to the dataset size (${this.size} elements)`);let a=this,r=N6.alea(t||v.now().toString());return Kn(async()=>{let s=r.int32();return n&&(s+=r.int32()),(await a.iterator()).shuffle(e,s.toString())},this.size)}take(e){let t=this,n;return this.size!=null&&this.size>e?n=e:this.size!=null&&this.size<=e?n=this.size:n=null,Kn(async()=>(await t.iterator()).take(e),n)}async toArray(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArray()}async toArrayForTest(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArrayForTest()}};Hu.MAX_BUFFER_SIZE=1e4;function Kn(e,t=null){return new class extends Hu{constructor(){super(...arguments),this.size=t}async iterator(){return e()}}}function K6(e){return Kn(async()=>W2(e),e.length)}function X6(e){if(!Tl(e))throw new Error("The argument to zip() must be an object or array.");let t;if(Array.isArray(e))for(let n=0;n{let n=await z2(e,a=>{if(a instanceof Hu)return{value:a.iterator(),recurse:!1};if(Tl(a))return{value:null,recurse:!0};throw new Error("Leaves of the structure passed to zip() must be Datasets, not primitives.")});return M6(n,es.SHORTEST)},t)}function Y6(e){if(e===null)return null;let t=e[0];return A6(t)?{value:Z6(e),recurse:!1}:{value:null,recurse:!0}}function Z6(e){if(e.length===0)throw new Error("Can't make a batch of zero elements.");return e[0]instanceof Te?Ft(e):On(e)}var G2=class extends Hu{constructor(e){super(),this.input=e}async iterator(){return(await this.input.iterator()).decodeUTF8().split(` -`).map(e=>(e.endsWith("\r")&&(e=e.slice(0,-1)),e))}},ch='"',Ap=Symbol("out"),Qk=Symbol("field"),dh=Symbol("quote"),wy=Symbol("quoteafterquote"),eI=Symbol("quoteinquote"),H2=class extends Hu{constructor(e,t){super(),this.input=e,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=",",this.delimWhitespace=!1,this.base=new G2(e),t||(t={}),this.hasHeader=t.hasHeader!==!1,this.fullColumnNames=t.columnNames,this.columnConfigs=t.columnConfigs,this.configuredColumnsOnly=t.configuredColumnsOnly,t.delimWhitespace?(v.assert(t.delimiter==null,()=>"Delimiter should not be provided when delimWhitespace is true."),this.delimWhitespace=!0,this.delimiter=" "):this.delimiter=t.delimiter?t.delimiter:","}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){let e=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!e)throw new Error("Column names must be provided if there is no header line.");this.fullColumnNames&&e&&v.assert(e.length===this.fullColumnNames.length,()=>"The length of provided columnNames ("+this.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+e.length.toString()+")."),this.fullColumnNames||(this.fullColumnNames=e);let t=this.fullColumnNames.reduce((a,r)=>(a[r]=a[r]+1||1,a),{}),n=Object.keys(t).filter(a=>t[a]>1);if(v.assert(n.length===0,()=>"Duplicate column names found: "+n.toString()),this.columnConfigs){for(let a of Object.keys(this.columnConfigs))if(this.fullColumnNames.indexOf(a)===-1)throw new Error('The key "'+a+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").")}this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){let e=await(await this.base.iterator()).next();if(e.done)throw new Error("No data was found for CSV parsing.");let t=e.value;return this.parseRow(t,!1)}else return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let e=await this.base.iterator();return this.hasHeader&&(e=e.skip(1)),e.map(t=>this.makeDataElement(t))}makeDataElement(e){let t=this.parseRow(e),n={},a={};for(let r=0;r14||!Number.isInteger(t))throw new Error(`Invalid fftSize: it must be a power of 2 between 2 to 4 and 2 to 14, but got ${this.fftSize}`);if(this.numFrames=e.numFramesPerSpectrogram||43,this.sampleRateHz=e.sampleRateHz,this.columnTruncateLength=e.columnTruncateLength||this.fftSize,this.audioTrackConstraints=e.audioTrackConstraints,this.smoothingTimeConstant=e.smoothingTimeConstant||0,this.includeSpectrogram=e.includeSpectrogram!==!1,this.includeWaveform=e.includeWaveform===!0,!this.includeSpectrogram&&!this.includeWaveform)throw new Error("Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.")}summary(){return"microphone"}static async create(e={}){if(!H().get("IS_BROWSER"))throw new Error("microphone API is only supported in browser environment.");let t=new j2(e);return await t.start(),t}async start(){try{this.stream=await navigator.mediaDevices.getUserMedia({audio:this.audioTrackConstraints==null?!0:this.audioTrackConstraints,video:!1})}catch(n){throw new Error(`Error thrown while initializing video stream: ${n.message}`)}if(!this.stream)throw new Error("Could not obtain audio from microphone.");let e=window.AudioContext||window.webkitAudioContext;if(this.audioContext=new e,!this.sampleRateHz)this.sampleRateHz=this.audioContext.sampleRate;else if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error(`Mismatch in sampling rate: Expected: ${this.sampleRateHz}; Actual: ${this.audioContext.sampleRate}`);let t=this.audioContext.createMediaStreamSource(this.stream);this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=this.fftSize*2,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,t.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize)}async next(){if(this.isClosed)return{value:null,done:!0};let e,t,n=await this.getAudioData();if(this.includeSpectrogram){let a=this.flattenQueue(n.freqDataQueue);e=this.getTensorFromAudioDataArray(a,[this.numFrames,this.columnTruncateLength,1])}if(this.includeWaveform){let a=this.flattenQueue(n.timeDataQueue);t=this.getTensorFromAudioDataArray(a,[this.numFrames*this.fftSize,1])}return{value:{spectrogram:e,waveform:t},done:!1}}async capture(){return(await this.next()).value}async getAudioData(){let e=[],t=[],n=0;return new Promise(a=>{let r=setInterval(()=>{this.includeSpectrogram&&(this.analyser.getFloatFrequencyData(this.freqData),this.freqData[0]===-1/0&&a({freqDataQueue:e,timeDataQueue:t}),e.push(this.freqData.slice(0,this.columnTruncateLength))),this.includeWaveform&&(this.analyser.getFloatTimeDomainData(this.timeData),t.push(this.timeData.slice())),++n===this.numFrames&&(clearInterval(r),a({freqDataQueue:e,timeDataQueue:t}))},this.fftSize/this.sampleRateHz*1e3)})}stop(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),this.stream!=null&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())}toArray(){throw new Error("Can not convert infinite audio stream to array.")}getSampleRate(){return this.sampleRateHz}flattenQueue(e){let t=e[0].length,n=new Float32Array(e.length*t);return e.forEach((a,r)=>n.set(a,r*t)),n}getTensorFromAudioDataArray(e,t){let n=new Float32Array(v.sizeFromShape(t));return n.set(e,n.length-e.length),On(n,t)}},q2=class extends en{constructor(e,t){if(super(),this.webcamVideoElement=e,this.webcamConfig=t,this.isClosed=!0,this.resize=!1,this.needToResize())if(this.resize=!0,this.cropSize=[this.webcamConfig.resizeHeight,this.webcamConfig.resizeWidth],this.cropBoxInd=Ke([0],"int32"),this.webcamConfig.centerCrop){let n=this.webcamConfig.resizeWidth*1/this.webcamVideoElement.width,a=this.webcamConfig.resizeHeight*1/this.webcamVideoElement.height,r=(1-n)/2,s=(1-a)/2,i=r+n,o=a+s;this.cropBox=Ea([s,r,o,i],[1,4])}else this.cropBox=Ea([0,0,1,1],[1,4])}summary(){return"webcam"}static async create(e,t={}){if(!H().get("IS_BROWSER"))throw new Error("tf.data.webcam is only supported in browser environment.");if(!e){if(e=document.createElement("video"),!t.resizeWidth||!t.resizeHeight)throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");e.width=t.resizeWidth,e.height=t.resizeHeight}let n=new q2(e,t);return await n.start(),n}async start(){this.webcamConfig.facingMode&&v.assert(this.webcamConfig.facingMode==="user"||this.webcamConfig.facingMode==="environment",()=>`Invalid webcam facing mode: ${this.webcamConfig.facingMode}. Please provide 'user' or 'environment'`);try{this.stream=await navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:"user",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}})}catch(e){throw e.message=`Error thrown while initializing video stream: ${e.message}`,e}if(!this.stream)throw new Error("Could not obtain video from webcam.");try{this.webcamVideoElement.srcObject=this.stream}catch(e){console.log(e),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,new Promise(e=>{this.webcamVideoElement.onloadedmetadata=()=>{e()}})}async next(){if(this.isClosed)return{value:null,done:!0};let e;try{e=ho.fromPixels(this.webcamVideoElement)}catch(t){throw new Error(`Error thrown converting video to pixels: ${JSON.stringify(t)}`)}if(this.resize)try{return{value:this.cropAndResizeFrame(e),done:!1}}catch(t){throw new Error(`Error thrown cropping the video: ${t.message}`)}finally{e.dispose()}else return{value:e,done:!1}}needToResize(){return!!(this.webcamConfig.resizeWidth&&this.webcamConfig.resizeHeight&&(this.webcamVideoElement.width!==this.webcamConfig.resizeWidth||this.webcamVideoElement.height!==this.webcamConfig.resizeHeight))}cropAndResizeFrame(e){return P(()=>{let t=hn(oe(e,"float32"),0),n;n=Nr.cropAndResize(t,this.cropBox,this.cropBoxInd,this.cropSize,"bilinear");let a=n.shape;return B(n,a.slice(1))})}async capture(){return(await this.next()).value}stop(){this.stream.getTracks().forEach(e=>e.stop());try{this.webcamVideoElement.srcObject=null}catch(e){console.log(e),this.webcamVideoElement.src=null}this.isClosed=!0}toArray(){throw new Error("Can not convert infinite video stream to array.")}},K2=class{},X2=class extends en{split(e){return new J6(this,e)}},J6=class extends X2{constructor(e,t){super(),this.upstream=e,this.impl=new Q6(e,t)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},Q6=class extends E0{constructor(e,t){super(),this.upstream=e,this.separator=t,this.carryover=""}summary(){return`${this.upstream.summary()} -> Split('${this.separator}')`}async pump(){let e=await this.upstream.next();if(e.done)return this.carryover===""?!1:(this.outputQueue.push(this.carryover),this.carryover="",!0);let t=e.value.split(this.separator);t[0]=this.carryover+t[0];for(let n of t.slice(0,-1))this.outputQueue.push(n);return this.carryover=t[t.length-1],!0}},ej=class extends en{decodeUTF8(){return new tj(this)}},tj=class extends X2{constructor(e){super(),this.upstream=e,this.impl=new nj(e)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},nj=class extends E0{constructor(e){if(super(),this.upstream=e,H().get("IS_BROWSER"))this.decoder=new TextDecoder("utf-8");else{let{StringDecoder:t}=RI();this.decoder=new t("utf8")}}summary(){return`${this.upstream.summary()} -> Utf8`}async pump(){let e=await this.upstream.next(),t;if(e.done)return!1;t=e.value;let n;return H().get("IS_BROWSER")?n=this.decoder.decode(t,{stream:!0}):n=this.decoder.write(Buffer.from(t.buffer)),this.outputQueue.push(n),!0}},Y2=class extends ej{constructor(e,t={}){super(),this.file=e,this.options=t,v.assert(e instanceof Uint8Array||(H().get("IS_BROWSER")?e instanceof File||e instanceof Blob:!1),()=>"FileChunkIterator only supports File, Blob and Uint8Array right now."),this.offset=t.offset||0,this.chunkSize=t.chunkSize||1024*1024}summary(){return`FileChunks ${this.file}`}async next(){return this.offset>=(this.file instanceof Uint8Array?this.file.byteLength:this.file.size)?{value:null,done:!0}:{value:await new Promise((e,t)=>{let n=this.offset+this.chunkSize;if(this.file instanceof Uint8Array)e(new Uint8Array(this.file.slice(this.offset,n)));else{let a=new FileReader;a.onload=s=>{let i=a.result;if(i instanceof ArrayBuffer&&(i=new Uint8Array(i)),!(i instanceof Uint8Array))return t(new TypeError("FileReader returned unknown type."));e(i)},a.onabort=s=>t(new Error("Aborted")),a.onerror=s=>t(new Error(s.type));let r=this.file.slice(this.offset,n);a.readAsArrayBuffer(r)}this.offset=n}),done:!1}}};async function aj(e,t={},n){let a,r;typeof e=="string"?a=e:(a=e.url,r=rj(e));let s=await(n||v.fetch)(a,r);if(s.ok){let i=new Uint8Array(await s.arrayBuffer());return new Y2(i,t)}else throw new Error(s.statusText)}var rj=e=>({method:e.method,headers:e.headers,body:e.body,mode:e.mode,credentials:e.credentials,cache:e.cache,redirect:e.redirect,referrer:e.referrer,integrity:e.integrity});function Z2(e){return typeof e=="string"&&e.slice(0,7)==="file://"}var J2=class extends K2{constructor(e,t={}){super(),this.input=e,this.options=t}async iterator(){if(Z2(this.input)&&H().get("IS_NODE")){let e=Tx();this.input=e.readFileSync(this.input.slice(7))}return new Y2(this.input,this.options)}},Q2=class extends K2{constructor(e,t={}){super(),this.url=e,this.fileOptions=t}async iterator(){return Z2(this.url)?new J2(this.url,this.fileOptions).iterator():aj(this.url,this.fileOptions)}};function sj(e,t={}){return new H2(new Q2(e),t)}function ij(e){let t=_0(e);return Kn(async()=>t)}function oj(e){return Kn(async()=>{let t=await e();return _0(()=>t.next())})}async function lj(e,t){return q2.create(e,t)}async function uj(e){return j2.create(e)}var pj="3.21.0";function ge(e,t){Array.isArray(e)||(e=[e]),e.forEach(n=>{n!=null&&v.assert(n.dtype!=="complex64",()=>`${t} does not support complex64 tensors in the CPU backend.`)})}var cj=dr.whereImpl,A0=class extends lc{constructor(){super(),this.blockSize=48,this.firstUse=!0,this.data=new im(this,er())}nextDataId(){return A0.nextDataId++}write(e,t,n){this.firstUse&&(this.firstUse=!1,H().get("IS_NODE")&&N.warn(` + ${a}, and tensor's shape is: ${e.shape}`);let s=e.shape.slice(1),i=ux(s,n),o=a===0?0:e.size/a,l=P(()=>{let p=[];e=W(e,[1,a,o]);for(let d=0;d{switch(e.op){case"If":case"StatelessIf":{let a=k("thenBranch",e,t,n),r=k("elseBranch",e,t,n),s=k("cond",e,t,n),i=k("args",e,t,n);return(await s.data())[0]?n.functionMap[a].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap):n.functionMap[r].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap)}case"While":case"StatelessWhile":{let a=k("body",e,t,n),r=k("cond",e,t,n),s=k("args",e,t,n),i=await n.functionMap[r].executeFunctionAsync(s,n.tensorArrayMap,n.tensorListMap),o=s.map(p=>p.id),l=await i[0].data();i.forEach(p=>{!p.kept&&o.indexOf(p.id)===-1&&p.dispose()});let u=s;for(;l[0];){let p=u;u=await n.functionMap[a].executeFunctionAsync(u,n.tensorArrayMap,n.tensorListMap);let d=u.map(h=>h.id);p.forEach(h=>{!h.kept&&o.indexOf(h.id)===-1&&d.indexOf(h.id)===-1&&h.dispose()});let c=await n.functionMap[r].executeFunctionAsync(u,n.tensorArrayMap,n.tensorListMap);l=await c[0].data(),c.forEach(h=>{!h.kept&&o.indexOf(h.id)===-1&&d.indexOf(h.id)===-1&&h.dispose()})}return u}case"LoopCond":{let a=k("pred",e,t,n);return[Tr(a)]}case"Switch":{let a=k("pred",e,t,n),r=k("data",e,t,n);return r.kept||(r=Tr(r)),(await a.data())[0]?[void 0,r]:[r,void 0]}case"Merge":{let a=e.inputNames.find(r=>wn(r,t,n)!==void 0);if(a){let r=wn(a,t,n);return[Tr(r)]}return}case"Enter":{let a=k("frameName",e,t,n),r=k("tensor",e,t,n);return n.enterFrame(a),[Tr(r)]}case"Exit":{let a=k("tensor",e,t,n);return n.exitFrame(),[Tr(a)]}case"NextIteration":{let a=k("tensor",e,t,n);return n.nextIteration(),[Tr(a)]}case"TensorArrayV3":{let a=k("size",e,t,n),r=k("dtype",e,t,n),s=k("elementShape",e,t,n),i=k("dynamicSize",e,t,n),o=k("clearAfterRead",e,t,n),l=k("identicalElementShapes",e,t,n),u=k("name",e,t,n),p=new n6(u,r,a,s,l,i,o);return n.addTensorArray(p),[p.idTensor,ye(1)]}case"TensorArrayWriteV3":{let a=k("tensorArrayId",e,t,n),r=k("index",e,t,n),s=k("tensor",e,t,n),i=n.getTensorArray(a.id);return i.write(r,s),[i.idTensor]}case"TensorArrayReadV3":{let a=k("tensorArrayId",e,t,n),r=k("index",e,t,n);return[n.getTensorArray(a.id).read(r)]}case"TensorArrayGatherV3":{let a=k("tensorArrayId",e,t,n),r=k("indices",e,t,n),s=k("dtype",e,t,n);return[n.getTensorArray(a.id).gather(r,s)]}case"TensorArrayScatterV3":{let a=k("tensorArrayId",e,t,n),r=k("indices",e,t,n),s=k("tensor",e,t,n),i=n.getTensorArray(a.id);return i.scatter(r,s),[i.idTensor]}case"TensorArrayConcatV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id),s=k("dtype",e,t,n);return[r.concat(s)]}case"TensorArraySplitV3":{let a=k("tensorArrayId",e,t,n),r=k("tensor",e,t,n),s=k("lengths",e,t,n),i=n.getTensorArray(a.id);return i.split(s,r),[i.idTensor]}case"TensorArraySizeV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id);return[ye(r.size(),"int32")]}case"TensorArrayCloseV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id);return r.clearAndClose(),[r.idTensor]}case"TensorListSetItem":{let a=k("tensorListId",e,t,n),r=k("index",e,t,n),s=k("tensor",e,t,n),i=n.getTensorList(a.id);return i.setItem(r,s),[i.idTensor]}case"TensorListGetItem":{let a=k("tensorListId",e,t,n),r=k("index",e,t,n),s=k("elementShape",e,t,n),i=k("elementDType",e,t,n);return[n.getTensorList(a.id).getItem(r,s,i)]}case"TensorListScatterV2":case"TensorListScatter":{let a=k("indices",e,t,n),r=k("tensor",e,t,n),s=k("elementShape",e,t,n),i=k("numElements",e,t,n),o=s6(r,a,s,i);return n.addTensorList(o),[o.idTensor]}case"TensorListReserve":case"EmptyTensorList":{let a=k("elementShape",e,t,n),r=k("elementDType",e,t,n),s;e.op==="TensorListReserve"?s="numElements":s="maxNumElements";let i=k(s,e,t,n),o=e.op==="TensorListReserve"?-1:i,l=r6(a,r,i,o);return n.addTensorList(l),[l.idTensor]}case"TensorListGather":{let a=k("tensorListId",e,t,n),r=k("indices",e,t,n),s=k("elementShape",e,t,n),i=k("elementDType",e,t,n);return[n.getTensorList(a.id).gather(r,i,s)]}case"TensorListStack":{let a=k("tensorListId",e,t,n),r=k("elementShape",e,t,n),s=k("elementDType",e,t,n),i=k("numElements",e,t,n);return[n.getTensorList(a.id).stack(r,s,i)]}case"TensorListFromTensor":{let a=k("tensor",e,t,n),r=k("elementShape",e,t,n),s=k("elementDType",e,t,n),i=a6(a,r,s);return n.addTensorList(i),[i.idTensor]}case"TensorListConcat":case"TensorListConcatV2":{let a=k("tensorListId",e,t,n),r=n.getTensorList(a.id),s=k("dtype",e,t,n),i=k("elementShape",e,t,n);return[r.concat(s,i)]}case"TensorListPushBack":{let a=k("tensorListId",e,t,n),r=k("tensor",e,t,n),s=n.getTensorList(a.id);return s.pushBack(r),[s.idTensor]}case"TensorListPopBack":{let a=k("tensorListId",e,t,n),r=k("elementShape",e,t,n),s=k("elementDType",e,t,n);return[n.getTensorList(a.id).popBack(r,s)]}case"TensorListSplit":{let a=k("tensor",e,t,n),r=k("elementShape",e,t,n),s=k("lengths",e,t,n),i=i6(a,s,r);return n.addTensorList(i),[i.idTensor]}case"TensorListLength":{let a=k("tensorListId",e,t,n),r=n.getTensorList(a.id);return[ye(r.size(),"int32")]}case"TensorListResize":{let a=k("tensorListId",e,t,n),r=k("size",e,t,n),s=n.getTensorList(a.id).resize(r);return n.addTensorList(s),[s.idTensor]}default:throw TypeError(`Node type ${e.op} is not implemented`)}};function Qk(e,t,n){let[a,r]=k("fusedOps",e,t,n),s=a==="biasadd",i=!s,o=r==="prelu",l=a==="fusedbatchnorm",u=k("numArgs",e,t,n);if(s){if(o&&u!==2)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!o&&s&&u!==1)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(l)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported");let p=k("strides",e,t,n),d=vh(e,t,n),c=k("dataFormat",e,t,n).toUpperCase(),h=k("dilations",e,t,n),[m,f]=k("args",e,t,n);i&&(f=m,m=void 0);let g=k("leakyreluAlpha",e,t,n);return{stride:p,pad:d,dataFormat:c,dilations:h,biasArg:m,preluArg:f,activationFunc:r,leakyreluAlpha:g}}var l6=(e,t,n,a=pn)=>{switch(e.op){case"Conv1D":{let r=k("stride",e,t,n),s=k("pad",e,t,n),i=k("dataFormat",e,t,n).toUpperCase(),o=k("dilation",e,t,n);return[a.conv1d(k("x",e,t,n),k("filter",e,t,n),r,s,i,o)]}case"Conv2D":{let r=k("strides",e,t,n),s=vh(e,t,n),i=k("dataFormat",e,t,n).toUpperCase(),o=k("dilations",e,t,n);return[a.conv2d(k("x",e,t,n),k("filter",e,t,n),[r[1],r[2]],s,i,[o[1],o[2]])]}case"_FusedConv2D":{let{stride:r,pad:s,dataFormat:i,dilations:o,biasArg:l,preluArg:u,activationFunc:p,leakyreluAlpha:d}=Qk(e,t,n);return[a.fused.conv2d({x:k("x",e,t,n),filter:k("filter",e,t,n),strides:[r[1],r[2]],pad:s,dataFormat:i,dilations:[o[1],o[2]],bias:l,activation:p,preluActivationWeights:u,leakyreluAlpha:d})]}case"FusedDepthwiseConv2dNative":{let{stride:r,pad:s,dataFormat:i,dilations:o,biasArg:l,preluArg:u,activationFunc:p,leakyreluAlpha:d}=Qk(e,t,n);return[a.fused.depthwiseConv2d({x:k("x",e,t,n),filter:k("filter",e,t,n),strides:[r[1],r[2]],pad:s,dataFormat:i,dilations:[o[1],o[2]],bias:l,activation:p,preluActivationWeights:u,leakyreluAlpha:d})]}case"Conv2DBackpropInput":case"Conv2dTranspose":{let r=k("outputShape",e,t,n),s=k("strides",e,t,n),i=vh(e,t,n);return[a.conv2dTranspose(k("x",e,t,n),k("filter",e,t,n),r,[s[1],s[2]],i)]}case"DepthwiseConv2dNative":case"DepthwiseConv2d":{let r=k("strides",e,t,n),s=vh(e,t,n),i=k("dilations",e,t,n),o=k("dataFormat",e,t,n).toUpperCase();return[a.depthwiseConv2d(k("input",e,t,n),k("filter",e,t,n),[r[1],r[2]],s,o,[i[1],i[2]])]}case"Conv3D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("dataFormat",e,t,n).toUpperCase(),o=k("dilations",e,t,n);return[a.conv3d(k("x",e,t,n),k("filter",e,t,n),[r[1],r[2],r[3]],s,i,[o[1],o[2],o[3]])]}case"AvgPool":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.avgPool(k("x",e,t,n),[i[1],i[2]],[r[1],r[2]],s)]}case"MaxPool":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.maxPool(k("x",e,t,n),[i[1],i[2]],[r[1],r[2]],s)]}case"MaxPoolWithArgmax":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n),o=k("includeBatchInIndex",e,t,n),{result:l,indexes:u}=a.maxPoolWithArgmax(k("x",e,t,n),[i[1],i[2]],[r[1],r[2]],s,o);return[l,u]}case"AvgPool3D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.avgPool3d(k("x",e,t,n),[i[1],i[2],i[3]],[r[1],r[2],r[3]],s)]}case"MaxPool3D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.maxPool3d(k("x",e,t,n),[i[1],i[2],i[3]],[r[1],r[2],r[3]],s)]}case"Dilation2D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("dilations",e,t,n),o=r[1],l=r[2],u=i[1],p=i[2];return[a.dilation2d(k("x",e,t,n),k("filter",e,t,n),[o,l],s,[u,p],"NHWC")]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},u6=(e,t,n,a=pn)=>{switch(e.op){case"Fill":{let r=k("shape",e,t,n),s=k("dtype",e,t,n),i=k("value",e,t,n);return[a.fill(r,i,s)]}case"LinSpace":{let r=k("start",e,t,n),s=k("stop",e,t,n),i=k("num",e,t,n);return[a.linspace(r,s,i)]}case"Multinomial":{let r=k("logits",e,t,n),s=k("numSamples",e,t,n),i=k("seed",e,t,n);return[a.multinomial(r,s,i)]}case"OneHot":{let r=k("indices",e,t,n),s=k("depth",e,t,n),i=k("onValue",e,t,n),o=k("offValue",e,t,n),l=k("dtype",e,t,n);return[a.oneHot(r,s,i,o,l)]}case"Ones":return[a.ones(k("shape",e,t,n),k("dtype",e,t,n))];case"OnesLike":return[a.onesLike(k("x",e,t,n))];case"RandomStandardNormal":return[a.randomStandardNormal(k("shape",e,t,n),k("dtype",e,t,n),k("seed",e,t,n))];case"RandomUniform":return[a.randomUniform(k("shape",e,t,n),k("minval",e,t,n),k("maxval",e,t,n),k("dtype",e,t,n))];case"Range":{let r=k("start",e,t,n),s=k("stop",e,t,n),i=k("step",e,t,n);return[a.range(r,s,i,k("dtype",e,t,n))]}case"TruncatedNormal":{let r=k("shape",e,t,n),s=k("mean",e,t,n),i=k("stdDev",e,t,n),o=k("seed",e,t,n);return[a.truncatedNormal(r,s,i,k("dtype",e,t,n),o)]}case"Zeros":return[a.zeros(k("shape",e,t,n),k("dtype",e,t,n))];case"ZerosLike":return[a.zerosLike(k("x",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function ky(e,t,n){let a=k("boxes",e,t,n),r=k("scores",e,t,n),s=k("maxOutputSize",e,t,n),i=k("iouThreshold",e,t,n),o=k("scoreThreshold",e,t,n),l=k("softNmsSigma",e,t,n);return{boxes:a,scores:r,maxOutputSize:s,iouThreshold:i,scoreThreshold:o,softNmsSigma:l}}var p6=async(e,t,n,a,r=pn)=>{switch(e.op){case"NonMaxSuppressionV5":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u,softNmsSigma:p}=ky(e,t,n),d=await r.image.nonMaxSuppressionWithScoreAsync(s,i,o,l,u,p);return[d.selectedIndices,d.selectedScores]}case"NonMaxSuppressionV4":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u}=ky(e,t,n),p=k("padToMaxOutputSize",e,t,n),d=await r.image.nonMaxSuppressionPaddedAsync(s,i,o,l,u,p);return[d.selectedIndices,d.validOutputs]}case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u}=ky(e,t,n);return[await r.image.nonMaxSuppressionAsync(s,i,o,l,u)]}case"Where":{let s=r.cast(k("condition",e,t,n),"bool"),i=[await r.whereAsync(s)];return s.dispose(),i}case"ListDiff":return r.setdiff1dAsync(k("x",e,t,n),k("y",e,t,n));default:throw TypeError(`Node type ${e.op} is not implemented`)}},c6=(e,t,n,a=pn)=>{switch(e.op){case"LowerBound":{let r=k("sortedSequence",e,t,n),s=k("values",e,t,n);return[a.lowerBound(r,s)]}case"TopKV2":{let r=k("x",e,t,n),s=k("k",e,t,n),i=k("sorted",e,t,n),o=a.topk(r,s,i);return[o.values,o.indices]}case"UpperBound":{let r=k("sortedSequence",e,t,n),s=k("values",e,t,n);return[a.upperBound(r,s)]}case"Unique":{let r=k("x",e,t,n),s=a.unique(r);return[s.values,s.indices]}case"UniqueV2":{let r=k("x",e,t,n),s=k("axis",e,t,n),i=a.unique(r,s);return[i.values,i.indices]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},d6=(e,t,n,a=pn)=>{switch(e.op){case"Const":return t[e.name];case"PlaceholderWithDefault":let r=k("default",e,t,n);return[wn(e.name,t,n)||r];case"Placeholder":return[wn(e.name,t,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":{let p=k("x",e,t,n);return[Tr(p)]}case"IdentityN":return k("x",e,t,n).map(p=>Tr(p));case"Snapshot":let s=k("x",e,t,n);return[Tr(s)];case"Shape":return[a.tensor1d(k("x",e,t,n).shape,"int32")];case"ShapeN":return k("x",e,t,n).map(p=>a.tensor1d(p.shape));case"Size":return[a.scalar(k("x",e,t,n).size,"int32")];case"Rank":return[a.scalar(k("x",e,t,n).rank,"int32")];case"NoOp":return[a.scalar(1)];case"Print":let i=k("x",e,t,n),o=k("data",e,t,n),l=k("message",e,t,n),u=k("summarize",e,t,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(l);for(let p=0;pe.dispose()),this.tensorMap.clear(),this.handle.dispose()}size(){return this.tensorMap.size}tensorSize(){return ye(this.size(),"int32")}async import(e,t){this.checkKeyAndValueTensor(e,t);let n=await e.data();return this.tensorMap.forEach(a=>a.dispose()),this.tensorMap.clear(),P(()=>{let a=ct(t),r=n.length,s=a.length;v.assert(r===s,()=>`The number of elements doesn't match, keys has ${r} elements, the values has ${s} elements.`);for(let i=0;i{let a=[];for(let r=0;r{switch(e.op){case"HashTable":case"HashTableV2":{let r=a.getHashTableHandleByName(e.name);if(r!=null)return[r];{let s=k("keyDType",e,t,n),i=k("valueDType",e,t,n),o=new h6(s,i);return a.addHashTable(e.name,o),[o.handle]}}case"LookupTableImport":case"LookupTableImportV2":{let r=k("tableHandle",e,t,n,a),s=k("keys",e,t,n),i=k("values",e,t,n);return[await a.getHashTableById(r.id).import(s,i)]}case"LookupTableFind":case"LookupTableFindV2":{let r=k("tableHandle",e,t,n,a),s=k("keys",e,t,n),i=k("defaultValue",e,t,n);return[await a.getHashTableById(r.id).find(s,i)]}case"LookupTableSize":case"LookupTableSizeV2":{let r=k("tableHandle",e,t,n,a);return[a.getHashTableById(r.id).tensorSize()]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},f6=(e,t,n,a=pn)=>{switch(e.op){case"ResizeBilinear":{let r=k("images",e,t,n),s=k("size",e,t,n),i=k("alignCorners",e,t,n),o=k("halfPixelCenters",e,t,n);return[a.image.resizeBilinear(r,[s[0],s[1]],i,o)]}case"ResizeNearestNeighbor":{let r=k("images",e,t,n),s=k("size",e,t,n),i=k("alignCorners",e,t,n),o=k("halfPixelCenters",e,t,n);return[a.image.resizeNearestNeighbor(r,[s[0],s[1]],i,o)]}case"CropAndResize":{let r=k("image",e,t,n),s=k("boxes",e,t,n),i=k("boxInd",e,t,n),o=k("cropSize",e,t,n),l=k("method",e,t,n),u=k("extrapolationValue",e,t,n);return[a.image.cropAndResize(r,s,i,o,l,u)]}case"ImageProjectiveTransformV3":{let r=k("images",e,t,n),s=k("transforms",e,t,n),i=k("outputShape",e,t,n),o=k("fillValue",e,t,n),l=k("interpolation",e,t,n),u=k("fillMode",e,t,n);return[a.image.transform(r,s,l.toLowerCase(),u.toLowerCase(),o,i)]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},g6=(e,t,n,a=pn)=>{switch(e.op){case"Equal":return[a.equal(k("a",e,t,n),k("b",e,t,n))];case"NotEqual":return[a.notEqual(k("a",e,t,n),k("b",e,t,n))];case"Greater":return[a.greater(k("a",e,t,n),k("b",e,t,n))];case"GreaterEqual":return[a.greaterEqual(k("a",e,t,n),k("b",e,t,n))];case"Less":return[a.less(k("a",e,t,n),k("b",e,t,n))];case"LessEqual":return[a.lessEqual(k("a",e,t,n),k("b",e,t,n))];case"LogicalAnd":return[a.logicalAnd(k("a",e,t,n),k("b",e,t,n))];case"LogicalNot":return[a.logicalNot(k("a",e,t,n))];case"LogicalOr":return[a.logicalOr(k("a",e,t,n),k("b",e,t,n))];case"Select":case"SelectV2":return[a.where(k("condition",e,t,n),k("a",e,t,n),k("b",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},b6=(e,t,n,a=pn)=>{switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[a.matMul(k("a",e,t,n),k("b",e,t,n),k("transposeA",e,t,n),k("transposeB",e,t,n))];case"Einsum":return[a.einsum(k("equation",e,t,n),...k("tensors",e,t,n))];case"Transpose":return[a.transpose(k("x",e,t,n),k("perm",e,t,n))];case"_FusedMatMul":let[r,s]=k("fusedOps",e,t,n),i=r==="biasadd",o=s==="prelu",l=k("numArgs",e,t,n),u=k("leakyreluAlpha",e,t,n);if(i){if(o&&l!==2)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!o&&l!==1)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}let[p,d]=k("args",e,t,n);return[a.fused.matMul({a:k("a",e,t,n),b:k("b",e,t,n),transposeA:k("transposeA",e,t,n),transposeB:k("transposeB",e,t,n),bias:p,activation:s,preluActivationWeights:d,leakyreluAlpha:u})];default:throw TypeError(`Node type ${e.op} is not implemented`)}},y6=(e,t,n,a=pn)=>{switch(e.op){case"EuclideanNorm":return[a.euclideanNorm(k("x",e,t,n),k("axis",e,t,n),k("keepDims",e,t,n))];case"FusedBatchNorm":case"FusedBatchNormV2":return[a.batchNorm(k("x",e,t,n),k("mean",e,t,n),k("variance",e,t,n),k("offset",e,t,n),k("scale",e,t,n),k("epsilon",e,t,n))];case"FusedBatchNormV3":return[a.batchNorm(k("x",e,t,n),k("mean",e,t,n),k("variance",e,t,n),k("offset",e,t,n),k("scale",e,t,n),k("epsilon",e,t,n))];case"LRN":return[a.localResponseNormalization(k("x",e,t,n),k("radius",e,t,n),k("bias",e,t,n),k("alpha",e,t,n),k("beta",e,t,n))];case"Softmax":return[a.softmax(k("x",e,t,n))];case"LogSoftmax":return[a.logSoftmax(k("x",e,t,n))];case"SparseToDense":return[a.sparseToDense(k("sparseIndices",e,t,n),k("outputShape",e,t,n),k("sparseValues",e,t,n),k("defaultValue",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},x6=(e,t,n,a=pn)=>{switch(e.op){case"Max":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.max(k("x",e,t,n),o,l)]}case"Mean":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.mean(k("x",e,t,n),o,l)]}case"Min":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.min(k("x",e,t,n),o,l)]}case"Sum":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.sum(k("x",e,t,n),o,l)]}case"All":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.all(k("x",e,t,n),o,l)]}case"Any":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.any(k("x",e,t,n),o,l)]}case"ArgMax":{let o=k("axis",e,t,n);return[a.argMax(k("x",e,t,n),o)]}case"ArgMin":{let o=k("axis",e,t,n);return[a.argMin(k("x",e,t,n),o)]}case"Prod":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.prod(k("x",e,t,n),o,l)]}case"Cumprod":{let o=k("axis",e,t,n),l=k("exclusive",e,t,n),u=k("reverse",e,t,n);return[a.cumprod(k("x",e,t,n),o,l,u)]}case"Cumsum":{let o=k("axis",e,t,n),l=k("exclusive",e,t,n),u=k("reverse",e,t,n);return[a.cumsum(k("x",e,t,n),o,l,u)]}case"Bincount":let r=k("x",e,t,n),s=k("weights",e,t,n),i=k("size",e,t,n);return[a.bincount(r,s,i)];case"DenseBincount":{let o=k("x",e,t,n),l=k("weights",e,t,n),u=k("size",e,t,n),p=k("binaryOutput",e,t,n);return[a.denseBincount(o,l,u,p)]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},v6=(e,t,n,a=pn)=>{switch(e.op){case"ConcatV2":case"Concat":{let r=k("n",e,t,n),s=k("axis",e,t,n),i=k("tensors",e,t,n);return i=i.slice(0,r),[a.concat(i,s)]}case"Gather":{let r=k("x",e,t,n),s=k("indices",e,t,n);return[a.gather(r,a.cast(s,"int32"),0)]}case"GatherV2":{let r=k("axis",e,t,n),s=k("batchDims",e,t,n),i=k("x",e,t,n),o=k("indices",e,t,n);return[a.gather(i,a.cast(o,"int32"),r,s)]}case"Reverse":{let r=k("dims",e,t,n),s=[];for(let o=0;o{let r=k("axis",e,t,n),s=k("tensors",e,t,n),i=s[0].shape,o=a.squeeze(s[0]).shape,l=s.map(u=>{let p=v.arraysEqual(u.shape,i);if(!p&&!v.arraysEqual(a.squeeze(u).shape,o))throw new Error("the input tensors shape does not match");return p?u:a.reshape(u,i)});return[a.stack(l,r)]});case"Unpack":{let r=k("axis",e,t,n),s=k("tensor",e,t,n);return a.unstack(s,r)}case"Tile":{let r=k("reps",e,t,n);return[a.tile(k("x",e,t,n),r)]}case"Split":case"SplitV":{let r=k("axis",e,t,n),s=k("numOrSizeSplits",e,t,n),i=k("x",e,t,n);return a.split(i,s,r)}case"ScatterNd":{let r=k("indices",e,t,n),s=k("values",e,t,n),i=k("shape",e,t,n);return[a.scatterND(r,s,i)]}case"GatherNd":{let r=k("x",e,t,n),s=k("indices",e,t,n);return[a.gatherND(r,s)]}case"SparseToDense":{let r=k("sparseIndices",e,t,n),s=k("outputShape",e,t,n),i=k("sparseValues",e,t,n),o=k("defaultValue",e,t,n);return[a.sparseToDense(r,i,s,i.dtype===o.dtype?o:a.cast(o,i.dtype))]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},w6=(e,t,n,a=pn)=>{switch(e.op){case"SparseFillEmptyRows":{let{outputIndices:r,outputValues:s,emptyRowIndicator:i,reverseIndexMap:o}=a.sparse.sparseFillEmptyRows(k("indices",e,t,n),k("values",e,t,n),k("denseShape",e,t,n),k("defaultValue",e,t,n));return[r,s,i,o]}case"SparseReshape":{let{outputIndices:r,outputShape:s}=a.sparse.sparseReshape(k("inputIndices",e,t,n),k("inputShape",e,t,n),k("newShape",e,t,n));return[r,s]}case"SparseSegmentMean":return[a.sparse.sparseSegmentMean(k("data",e,t,n),k("indices",e,t,n),k("segmentIds",e,t,n))];case"SparseSegmentSum":return[a.sparse.sparseSegmentSum(k("data",e,t,n),k("indices",e,t,n),k("segmentIds",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},k6=(e,t,n,a=pn)=>{switch(e.op){case"FFT":return[a.fft(k("x",e,t,n))];case"IFFT":return[a.ifft(k("x",e,t,n))];case"RFFT":return[a.rfft(k("x",e,t,n))];case"IRFFT":return[a.irfft(k("x",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},I6=(e,t,n,a=pn)=>{switch(e.op){case"StringNGrams":{let{nGrams:r,nGramsSplits:s}=a.string.stringNGrams(k("data",e,t,n),k("dataSplits",e,t,n),k("separator",e,t,n),k("nGramWidths",e,t,n),k("leftPad",e,t,n),k("rightPad",e,t,n),k("padWidth",e,t,n),k("preserveShortSequences",e,t,n));return[r,s]}case"StringSplit":{let{indices:r,values:s,shape:i}=a.string.stringSplit(k("input",e,t,n),k("delimiter",e,t,n),k("skipEmpty",e,t,n));return[r,s,i]}case"StringToHashBucketFast":return[a.string.stringToHashBucketFast(k("input",e,t,n),k("numBuckets",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},S6=(e,t,n,a=pn)=>{switch(e.op){case"Cast":return[a.cast(k("x",e,t,n),k("dtype",e,t,n))];case"ExpandDims":{let r=k("axis",e,t,n);return[a.expandDims(k("x",e,t,n),r)]}case"Squeeze":{let r=k("axis",e,t,n);return[a.squeeze(k("x",e,t,n),r)]}case"Reshape":return[a.reshape(k("x",e,t,n),k("shape",e,t,n))];case"MirrorPad":return[a.mirrorPad(k("x",e,t,n),k("padding",e,t,n),k("mode",e,t,n))];case"PadV2":case"Pad":return[a.pad(k("x",e,t,n),k("padding",e,t,n),k("constantValue",e,t,n))];case"SpaceToBatchND":{let r=k("blockShape",e,t,n),s=k("paddings",e,t,n);return[a.spaceToBatchND(k("x",e,t,n),r,s)]}case"BatchToSpaceND":{let r=k("blockShape",e,t,n),s=k("crops",e,t,n);return[a.batchToSpaceND(k("x",e,t,n),r,s)]}case"DepthToSpace":{let r=k("blockSize",e,t,n),s=k("dataFormat",e,t,n).toUpperCase();return[a.depthToSpace(k("x",e,t,n),r,s)]}case"BroadcastTo":return[a.broadcastTo(k("x",e,t,n),k("shape",e,t,n))];case"BroadcastArgs":return[a.broadcastArgs(k("s0",e,t,n),k("s1",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function eI(e,t,n,a,r=P){let s=((i,o,l)=>{switch(i.category){case"arithmetic":return r(()=>e6(i,o,l));case"basic_math":return r(()=>t6(i,o,l));case"control":return o6(i,o,l);case"convolution":return r(()=>l6(i,o,l));case"creation":return r(()=>u6(i,o,l));case"dynamic":return p6(i,o,l);case"evaluation":return r(()=>c6(i,o,l));case"image":return r(()=>f6(i,o,l));case"graph":return r(()=>d6(i,o,l));case"logical":return r(()=>g6(i,o,l));case"matrices":return r(()=>b6(i,o,l));case"normalization":return r(()=>y6(i,o,l));case"reduction":return r(()=>x6(i,o,l));case"slice_join":return r(()=>v6(i,o,l));case"sparse":return r(()=>w6(i,o,l));case"spectral":return r(()=>k6(i,o,l));case"string":return r(()=>I6(i,o,l));case"transformation":return r(()=>S6(i,o,l));case"hash_table":return m6(i,o,l,a);case"custom":let u=v2(i.op);if(u&&u.customExecutor)return u.customExecutor(new QH(i,o,l));throw TypeError(`Custom op ${i.op} is not registered.`);default:throw TypeError(`Unknown op '${i.op}'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()`)}})(e,t,n);return v.isPromise(s)?s.then(i=>[].concat(i)):[].concat(s)}var tI=class{constructor(e={},t={},n={},a={}){this.weightMap=e,this.tensorArrayMap=t,this.tensorListMap=n,this.functionMap=a,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}newFrame(e,t){return{id:e,frameName:t,iterationId:0}}set currentContext(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())}get currentContext(){return this.contexts}get currentContextId(){return this._currentContextIds[0]}get currentContextIds(){return this._currentContextIds}generateCurrentContextIds(){let e=[];for(let t=0;tt.id===0&&t.iterationId===0?"":`${t.frameName}-${t.iterationId}`).join("/"):""}enterFrame(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}exitFrame(){if(this.contexts&&this.contexts.length>1)this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift();else throw new Error("Cannot exit frame, the context is empty")}nextIteration(){if(this.contexts&&this.contexts.length>0){this.contexts=this.contexts.slice(),this.lastId++;let e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}else throw new Error("Cannot increase frame iteration, the context is empty")}getWeight(e){return this.weightMap[e]}addTensorArray(e){this.tensorArrayMap[e.id]=e}getTensorArray(e){return this.tensorArrayMap[e]}addTensorList(e){this.tensorListMap[e.id]=e}getTensorList(e){return this.tensorListMap[e]}dispose(e){for(let t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(let t in this.tensorListMap)this.tensorListMap[t].clearAndClose(e)}};function nI(e,t,n,a){let r=new Set,s=[],i=null,o=null,l=new Set,u=Object.keys(e).map(c=>Yn(c)[0]),p=[];a!=null&&(p=a.map(c=>Yn(c.name)[0]));let d=[...t];for(;d.length>0;){let c=d.pop();if((V2(c)||E6(c)||A6(c))&&i==null&&(i=c,o=i.children.map(h=>h.name).filter(h=>r.has(h))),r.add(c.name),n[c.name]==null&&u.indexOf(c.name)===-1&&p.indexOf(c.name)===-1){if(c.inputs.length===0){s.push(c.name);continue}c.inputs.forEach(h=>{l.has(h.name)||(l.add(h.name),d.push(h))})}}return{inputs:e,outputs:t,usedNodes:r,missingInputs:s,dynamicNode:i,syncInputs:o}}function T6(e,t,n){let{usedNodes:a,inputs:r}=n,s=[],i=Object.keys(r).map(p=>Yn(p)[0]).map(p=>e.nodes[p]),o=e.initNodes;i.forEach(p=>{a.has(p.name)&&s.push(p)}),e.weights.forEach(p=>{a.has(p.name)&&s.push(p)}),o!=null&&o.forEach(p=>{a.has(p.name)&&s.push(p)});let l=new Set,u=[];for(;s.length>0;){let p=s.pop();l.add(p.name),t[p.name]||u.push(p),p.children.forEach(d=>{!l.has(d.name)&&a.has(d.name)&&d.inputs.every(c=>l.has(c.name))&&s.push(d)})}return u}var N6=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],C6=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"],_6=["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2","LookupTableSize","LookupTableSizeV2"];function V2(e){return N6.indexOf(e.op)>=0}function E6(e){return C6.indexOf(e.op)>=0}function A6(e){return _6.indexOf(e.op)>=0}var px=class{constructor(e,t){this.graph=e,this.parent=t,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._functions={},this._functionExecutorMap={},this.intermediateTensors={},this.keepTensorForDebug=!1,this._outputs=e.outputs,this._inputs=e.inputs,this._initNodes=e.initNodes,this._signature=e.signature,this._functions=e.functions,e.functions!=null&&Object.keys(e.functions).forEach(n=>{this._functionExecutorMap[n]=new px(e.functions[n],this)})}get weightIds(){return this.parent?this.parent.weightIds:this._weightIds}get functionExecutorMap(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}get weightMap(){return this.parent?this.parent.weightMap:this._weightMap}set weightMap(e){let t=Object.keys(e).map(n=>e[n].map(a=>a.id));this._weightIds=[].concat(...t),this._weightMap=e}set resourceManager(e){this._resourceManager=e}get inputs(){return this._inputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get outputs(){return this._outputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get inputNodes(){return this._inputs.map(e=>e.signatureKey||e.name)}get outputNodes(){return this._outputs.map(e=>{let t=e.signatureKey||e.name;return e.defaultOutput?`${t}:${e.defaultOutput}`:t})}get functions(){return Object.keys(this._functions).reduce((e,t)=>(e[t]=this._functions[t].signature,e),{})}getCompilationKey(e,t){let n=e.map(r=>r.name).sort(),a=t.map(r=>r.name).sort();return n.join(this.SEPERATOR)+"--"+a.join(this.SEPERATOR)}compile(e,t){let n=nI(e,t,this.weightMap,this._initNodes),{missingInputs:a,dynamicNode:r,syncInputs:s}=n;if(r!=null)throw new Error(`This execution contains the node '${r.name}', which has the dynamic op '${r.op}'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs [${s}]`);if(a.length>0){let i=t.map(l=>l.name),o=Object.keys(e);throw new Error(`Cannot compute the outputs [${i}] from the provided inputs [${o}]. Missing the following inputs: [${a}]`)}return T6(this.graph,this.weightMap,n)}execute(e,t){e=this.mapInputs(e);let n=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);let a=n.map(p=>this.graph.nodes[Yn(p)[0]]),r=t.map(p=>Yn(p)[0]),s=r.map(p=>this.graph.nodes[p]);this.resetIntermediateTensors(),s.length===0&&(s=this._outputs);let i=this.getCompilationKey(a,s),o=this.compiledMap.get(i);o==null&&(o=this.compile(e,s),this.compiledMap.set(i,o));let l={},u={};return P(()=>{let p=new tI(this.weightMap,l,u,this.functionExecutorMap),d=Object.assign({},this.weightMap);Object.keys(e).forEach(m=>{let[f,g]=Yn(m),b=[];b[g]=e[m],d[f]=b});let c=this.getFrozenTensorIds(d),h={};for(let m=0;mwn(m,d,p))})}getFrozenTensorIds(e){let t=[].concat.apply([],Object.keys(e).map(n=>e[n]).map(n=>n.map(a=>a.id)));return new Set(t)}checkTensorForDisposal(e,t,n,a,r,s,i){t.category==="control"||s.indexOf(e)!==-1||(n[e].forEach(o=>{o!=null&&(i[o.id]=(i[o.id]||0)+t.children.length)}),t.inputs.forEach(o=>{if(o.category!=="control"){let l=FH(o.name,n,a);l!=null&&l.forEach(u=>{if(u&&!u.kept&&!r.has(u.id)){let p=i[u.id];if(p===1){if(!this.keepTensorForDebug)u.dispose();else{let[d,c]=sr(t.name,a);this.intermediateTensors[d]?this.intermediateTensors[d][c]=u:(this.intermediateTensors[d]=[],this.intermediateTensors[d][c]=u)}delete i[u.id]}else p!=null&&i[u.id]--}})}}))}async executeAsync(e,t){return this._executeAsync(e,t)}disposeIntermediateTensors(){!this.intermediateTensors||(Object.keys(this.intermediateTensors).forEach(e=>this.intermediateTensors[e].forEach(t=>t.dispose())),this.disposeTensorsMap())}disposeTensorsMap(){!this.tensorsMap||Object.keys(this.tensorsMap).forEach(e=>{this.tensorsMap[e].forEach(t=>{t&&!t.kept&&!t.isDisposed&&!this.keepIds.has(t.id)&&t.dispose()})})}getIntermediateTensors(){return this.tensorsMap}resetIntermediateTensors(){for(let e in this.intermediateTensors)this.intermediateTensors[e].forEach(t=>t.dispose()),delete this.intermediateTensors[e]}async _executeAsync(e,t,n=!1,a={},r={}){n||(e=this.mapInputs(e),this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t));try{this.keepTensorForDebug=H().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(u){console.warn(u.message)}this.resetIntermediateTensors();let s=new tI(this.weightMap,a,r,this.functionExecutorMap);this.tensorsMap=await this.executeWithControlFlow(e,s,t,n);let i=t.map(u=>wn(u,this.tensorsMap,s)),o=i.map(u=>u.id),l=Object.keys(e).map(u=>e[u].id);return this.keepIds=new Set([...o,...l,...this.weightIds]),this.keepTensorForDebug||this.disposeTensorsMap(),this.parent==null&&s.dispose(this.keepIds),i}async executeFunctionAsync(e,t,n){let a=e.reduce((r,s,i)=>(r[this.inputs[i].name]=s,r),{});return this._executeAsync(a,this.outputNodes,!0,t,n)}async executeWithControlFlow(e,t,n,a){let r=Object.keys(e),s=r.map(y=>this.graph.nodes[Yn(y)[0]]),i=n.map(y=>Yn(y)[0]),o=i.map(y=>this.graph.nodes[y]);o.length===0&&(o=this._outputs);let{usedNodes:l,missingInputs:u,dynamicNode:p,syncInputs:d}=nI(e,o,this.weightMap,this._initNodes),c=[...s,...this.graph.weights,...this._initNodes||[]].map(y=>({node:y,contexts:t.currentContext})),h=Object.assign({},this.weightMap);Object.keys(e).forEach(y=>{let[x,w]=Yn(y),I=[];I[w]=e[y],h[x]=I});let m={},f=this.getFrozenTensorIds(h),g={};for(;c.length>0;){let y=this.processStack(s,c,t,h,g,f,i,m,l);await Promise.all(y)}p==null&&!a&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead.");let b=o.filter(y=>!V2(y)&&!wn(y.name,h,t)).map(y=>y.name);if(b.length>0){let y="";throw p!=null&&(y=`Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs [${d}]`),new Error(`Cannot compute the outputs [${b}] from the provided inputs [${r}]. Consider providing the following inputs: [${u}]. ${y}`)}return h}processStack(e,t,n,a,r,s,i,o,l){let u=[];for(;t.length>0;){let p=t.pop();n.currentContext=p.contexts;let d="";if(p.node.op==="Enter"&&k("isConstant",p.node,a,n)&&([d]=sr(p.node.name,n)),a[p.node.name]==null){let c=eI(p.node,a,n,this._resourceManager);d||([d]=sr(p.node.name,n));let h=n.currentContext;v.isPromise(c)?u.push(c.then(m=>(a[d]=m,n.currentContext=h,this.checkTensorForDisposal(d,p.node,a,n,s,i,o),this.processChildNodes(p.node,t,n,a,r,l),m))):(a[d]=c,this.checkTensorForDisposal(d,p.node,a,n,s,i,o),this.processChildNodes(p.node,t,n,a,r,l))}else this.processChildNodes(p.node,t,n,a,r,l)}return u}processChildNodes(e,t,n,a,r,s){e.children.forEach(i=>{let[o]=sr(i.name,n);r[o]||!s.has(i.name)||(i.op==="Merge"?i.inputNames.some(l=>!!wn(l,a,n))&&(r[o]=!0,t.push({contexts:n.currentContext,node:i})):i.inputNames.every(l=>!!wn(l,a,n))&&(r[o]=!0,t.push({contexts:n.currentContext,node:i})))})}dispose(){Object.keys(this.weightMap).forEach(e=>this.weightMap[e].forEach(t=>t.dispose()))}checkInputShapeAndType(e){Object.keys(e).forEach(t=>{let n=e[t],[a]=Yn(t),r=this.graph.nodes[a];if(r.attrParams.shape&&r.attrParams.shape.value){let s=r.attrParams.shape.value,i=s.length===n.shape.length&&n.shape.every((o,l)=>s[l]===-1||s[l]===o);v.assert(i,()=>`The shape of dict['${r.name}'] provided in model.execute(dict) must be [${s}], but was [${n.shape}]`)}r.attrParams.dtype&&r.attrParams.dtype.value&&v.assert(n.dtype===r.attrParams.dtype.value,()=>`The dtype of dict['${r.name}'] provided in model.execute(dict) must be ${r.attrParams.dtype.value}, but was ${n.dtype}`)})}mapInputs(e){let t={};for(let n in e)if(this._signature!=null&&this._signature.inputs!=null&&this._signature.inputs[n]!=null){let a=this._signature.inputs[n];t[a.name]=e[n]}else t[n]=e[n];return t}checkInputs(e){let t=Object.keys(e).filter(n=>{let[a]=Yn(n);return this.graph.nodes[a]==null});if(t.length>0)throw new Error(`The dict provided in model.execute(dict) has keys: [${t}] that are not part of graph`)}mapOutputs(e){return e.map(t=>this._signature!=null&&this._signature.outputs!=null&&this._signature.outputs[t]!=null?this._signature.outputs[t].name:t,{})}checkOutputs(e){e.forEach(t=>{let[n]=Yn(t);if(!this.graph.nodes[n])throw new Error(`The output '${t}' is not found in the graph`)})}},$6=class{constructor(e={},t={}){this.hashTableNameToHandle=e,this.hashTableMap=t}addHashTable(e,t){this.hashTableNameToHandle[e]=t.handle,this.hashTableMap[t.id]=t}getHashTableHandleByName(e){return this.hashTableNameToHandle[e]}getHashTableById(e){return this.hashTableMap[e]}dispose(){for(let e in this.hashTableMap)this.hashTableMap[e].clearAndClose(),delete this.hashTableMap[e];for(let e in this.hashTableNameToHandle)this.hashTableNameToHandle[e].dispose(),delete this.hashTableNameToHandle[e]}},F6="?tfjs-format=file",D6="model.json",A0=class{constructor(e,t={},n=Ut){this.modelUrl=e,this.loadOptions=t,this.version="n/a",this.io=n,t==null&&(this.loadOptions={}),this.resourceManager=new $6}get modelVersion(){return this.version}get inputNodes(){return this.executor.inputNodes}get outputNodes(){return this.executor.outputNodes}get inputs(){return this.executor.inputs}get outputs(){return this.executor.outputs}get weights(){return this.executor.weightMap}get metadata(){return this.artifacts.userDefinedMetadata}get modelSignature(){return this.signature}get modelStructuredOutputKeys(){return this.structuredOutputKeys}findIOHandler(){let e=this.modelUrl;if(e.load!=null)this.handler=e;else if(this.loadOptions.requestInit!=null)this.handler=this.io.browserHTTPRequest(e,this.loadOptions);else{let t=this.io.getLoadHandlers(e,this.loadOptions);if(t.length===0)t.push(this.io.browserHTTPRequest(e,this.loadOptions));else if(t.length>1)throw new Error(`Found more than one (${t.length}) load handlers for URL '${[e]}'`);this.handler=t[0]}}load(){if(this.findIOHandler(),this.handler.load==null)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let e=this.handler.load();return v.isPromise(e)?e.then(t=>this.loadSync(t)):this.loadSync(e)}loadSync(e){this.artifacts=e;let t=this.artifacts.modelTopology,n=this.artifacts.signature;if(this.artifacts.userDefinedMetadata!=null){let r=this.artifacts.userDefinedMetadata;r.signature!=null&&(n=r.signature),r.structuredOutputKeys!=null&&(this.structuredOutputKeys=r.structuredOutputKeys)}this.signature=n,this.version=`${t.versions.producer}.${t.versions.minConsumer}`;let a=this.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new px(Yk.Instance.transformGraph(t,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(a),this.executor.resourceManager=this.resourceManager,e.modelInitializer!=null&&e.modelInitializer.node!=null){let r=Yk.Instance.transformGraph(e.modelInitializer);this.initializer=new px(r),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializerSignature=e.initializerSignature}return!0}async save(e,t){if(typeof e=="string"){let n=this.io.getSaveHandlers(e);if(n.length===0)throw new Error(`Cannot find any save handlers for URL '${e}'`);if(n.length>1)throw new Error(`Found more than one (${n.length}) save handlers for URL '${e}'`);e=n[0]}if(e.save==null)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return e.save(this.artifacts)}predict(e,t){let n=this.execute(e,this.outputNodes);if(this.structuredOutputKeys){let a=n instanceof Te?[n]:n,r={};return a.forEach((s,i)=>r[this.structuredOutputKeys[i]]=s),r}return n}normalizeInputs(e){if(!(e instanceof Te)&&!Array.isArray(e)){if(this.signature!=null&&this.signature.inputs!=null)for(let a in this.signature.inputs){let r=this.signature.inputs[a];r.resourceId!=null&&(e[a]=this.resourceIdToCapturedInput[r.resourceId])}return e}e=Array.isArray(e)?e:[e];let t=Object.keys(this.resourceIdToCapturedInput).length;if(e.length+t!==this.inputNodes.length)throw new Error(`Input tensor count mismatch, the graph model has ${this.inputNodes.length-t} non-resource placeholders, while there are ${e.length} input tensors provided.`);let n=0;return this.inputNodes.reduce((a,r)=>{let s=this.signature?this.signature.inputs[r]:null;return s!=null&&s.resourceId!=null?a[r]=this.resourceIdToCapturedInput[s.resourceId]:a[r]=e[n++],a},{})}normalizeOutputs(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]}executeInitializerGraph(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.execute({},[]):this.initializer.execute({},Object.keys(this.initializerSignature.outputs))}async executeInitializerGraphAsync(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.executeAsync({},[]):this.initializer.executeAsync({},Object.keys(this.initializerSignature.outputs))}setResourceIdToCapturedInput(e){if(this.resourceIdToCapturedInput={},this.initializerSignature){let t=Object.keys(this.initializerSignature.outputs);for(let n=0;n1?n:n[0]}async executeAsync(e,t){this.resourceIdToCapturedInput==null&&this.setResourceIdToCapturedInput(await this.executeInitializerGraphAsync()),e=this.normalizeInputs(e),t=this.normalizeOutputs(t);let n=await this.executor.executeAsync(e,t);return n.length>1?n:n[0]}getIntermediateTensors(){return this.executor.getIntermediateTensors()}disposeIntermediateTensors(){this.executor.disposeIntermediateTensors()}convertTensorMapToTensorsMap(e){return Object.keys(e).reduce((t,n)=>(t[n]=[e[n]],t),{})}dispose(){this.executor.dispose(),this.initializer&&(this.initializer.dispose(),this.resourceIdToCapturedInput&&_e(this.resourceIdToCapturedInput)),this.resourceManager.dispose()}};async function R6(e,t={},n=Ut){if(e==null)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");t==null&&(t={}),t.fromTFHub&&typeof e=="string"&&(e=P6(e));let a=new A0(e,t,n);return await a.load(),a}function M6(e){if(e==null)throw new Error("modelUrl in loadGraphModelSync() cannot be null. Please provide model artifacts or an IOHandler that loads the model");let t;if(e instanceof Array){let[a,r]=e;if(!a)throw new Error("modelJSON must be the first element of the array");if(!r||!(r instanceof ArrayBuffer))throw new Error("An ArrayBuffer of weights must be the second element of the array");if(!("modelTopology"in a))throw new Error("Model JSON is missing 'modelTopology'");if(!("weightsManifest"in a))throw new Error("Model JSON is missing 'weightsManifest'");let s=Ut.getWeightSpecs(a.weightsManifest),i=Ut.getModelArtifactsForJSONSync(a,s,r);t=Ut.fromMemorySync(i)}else if("load"in e)t=e;else if("modelTopology"in e&&"weightSpecs"in e&&"weightData"in e)t=Ut.fromMemorySync(e);else throw new Error("Unknown model format");let n=new A0(t);return n.load(),n}function P6(e){return e.endsWith("/")||(e=e+"/"),`${e}${D6}${F6}`}var O6="4.0.0",U2={};Ae(U2,{CSVDataset:()=>J2,Dataset:()=>qu,FileDataSource:()=>sC,TextLineDataset:()=>Z2,URLDataSource:()=>iC,array:()=>ij,csv:()=>bj,func:()=>yj,generator:()=>xj,microphone:()=>wj,version_data:()=>kj,webcam:()=>vj,zip:()=>oj});var L6=ms(im()),z6=ms(im());function W6(e,t){return Yh(e,t)}function Yh(e,t,n=new Map,a=new Set){if(e==null)return null;if(typeof Blob=="function"&&e instanceof Blob)return e.slice();if(a.has(e))throw new Error("Circular references are not supported.");if(n.has(e))return n.get(e);let r=t(e);if(r.recurse&&r.value!==null)throw new Error("A deep map function may not return both a value and recurse=true.");if(r.recurse)if(Cl(e)){let s=Array.isArray(e)?[]:{};a.add(e);for(let i in e){let o=e[i],l=Yh(o,t,n,a);s[i]=l}return a.delete(e),e.__proto__&&(s.__proto__=e.__proto__),s}else throw new Error(`Can't recurse into non-iterable type: ${e}`);else return n.set(e,r.value),r.value}function B6(e,t=H2){return G2(e,t)}function G2(e,t,n=new Set){let a=e[0];if(n.has(a))throw new Error("Circular references are not supported.");let r=t(e);if(r.recurse&&r.value!==null)throw new Error("A deep zip function may not return both a value and recurse=true.");if(r.recurse)if(Cl(a)){let s=Array.isArray(a)?[]:{};n.add(a);for(let i in a){let o=e.map(u=>u[i]),l=G2(o,t,n);s[i]=l}return n.delete(a),s}else throw new Error(`Can't recurse into non-iterable type: ${a}`);else return r.value}function H2(e){return e===null?null:Cl(e[0])?{value:null,recurse:!0}:{value:e,recurse:!1}}async function j2(e,t){let n=new Map;Yh(e,t,n);for(let a of Array.from(n.keys())){let r=n.get(a);if(v.isPromise(r)){let s=await r;n.set(a,s)}}return Yh(e,t,n)}function Cl(e){let t=!1;if(H().get("IS_BROWSER"))t=e instanceof TextDecoder;else{let{StringDecoder:n}=BI();t=e instanceof n}return e!=null&&!ArrayBuffer.isView(e)&&(Array.isArray(e)||typeof e=="object"&&!(e instanceof Te)&&!(e instanceof Promise)&&!t)}function V6(e){return e==null||U6(e)||Array.isArray(e)||typeof e=="object"&&e instanceof Te||v.isTypedArray(e)}function U6(e){return e===null||typeof e!="object"&&typeof e!="function"}function G6(e){return W6(e,H6)}function H6(e){return e instanceof Te?{value:e.clone(),recurse:!1}:Cl(e)?{value:null,recurse:!0}:{value:e,recurse:!1}}var q2=class{constructor(e){if(this.capacity=e,this.begin=0,this.end=0,e==null)throw new RangeError("Can't create a ring buffer of unknown capacity.");if(e<1)throw new RangeError("Can't create ring buffer of capacity < 1.");this.data=new Array(e),this.doubledCapacity=2*e}wrap(e){for(;e<0;)e+=this.doubledCapacity;return e%this.doubledCapacity}get(e){if(e<0)throw new RangeError("Can't get item at a negative index.");return this.data[e%this.capacity]}set(e,t){if(e<0)throw new RangeError("Can't set item at a negative index.");this.data[e%this.capacity]=t}length(){let e=this.end-this.begin;return e<0&&(e=this.doubledCapacity+e),e}isFull(){return this.length()===this.capacity}isEmpty(){return this.length()===0}push(e){if(this.isFull())throw new RangeError("Ring buffer is full.");this.set(this.end,e),this.end=this.wrap(this.end+1)}pushAll(e){for(let t of e)this.push(t)}pop(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");this.end=this.wrap(this.end-1);let e=this.get(this.end);return this.set(this.end,void 0),e}unshift(e){if(this.isFull())throw new RangeError("Ring buffer is full.");this.begin=this.wrap(this.begin-1),this.set(this.begin,e)}shift(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");let e=this.get(this.begin);return this.set(this.begin,void 0),this.begin=this.wrap(this.begin+1),e}shuffleExcise(e){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");let t=this.wrap(this.begin+e),n=this.get(t);return this.set(t,this.pop()),n}},$0=class extends q2{constructor(){super($0.INITIAL_CAPACITY)}isFull(){return!1}push(e){super.isFull()&&this.expand(),super.push(e)}unshift(e){super.isFull()&&this.expand(),super.unshift(e)}expand(){let e=this.capacity*2,t=new Array(e),n=this.length();for(let a=0;at===!0)}rowMajorBatch(e,t=!0){return new Q6(this,e,t)}columnMajorBatch(e,t=!0,n=H2){return this.rowMajorBatch(e,t).map(a=>B6(a,n))}concatenate(e,t){return new X2(K2([this,e]),t)}take(e){return e<0||e==null?this:new J6(this,e)}skip(e){return e<0||e==null?this:new Z6(this,e)}prefetch(e){return new Y2(this,e)}shuffle(e,t){return new sj(this,e,t)}serial(){return new Y6(this)}},K6=class extends tn{constructor(e){super(),this.items=e,this.trav=0}summary(){return`Array of ${this.items.length} items`}async next(){if(this.trav>=this.items.length)return{value:null,done:!0};let e=this.items[this.trav];return this.trav++,{value:G6(e),done:!1}}},X6=class extends tn{constructor(e){super(),this.nextFn=e}summary(){return"Function call"}async next(){try{return this.nextFn()}catch(e){throw e.message=`Error thrown while iterating through a dataset: ${e.message}`,e}}},Y6=class extends tn{constructor(e){super(),this.upstream=e,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Serial`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){return this.upstream.next()}},Z6=class extends tn{constructor(e,t){super(),this.upstream=e,this.maxCount=t,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Skip`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.count++ Take`}async next(){return this.count++>=this.maxCount?{value:null,done:!0}:this.upstream.next()}},Q6=class extends tn{constructor(e,t,n=!0){super(),this.upstream=e,this.batchSize=t,this.enableSmallLastBatch=n,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> RowMajorBatch`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){let e=[];for(;e.length0?{value:e,done:!1}:{value:null,done:!0};e.push(t.value)}return{value:e,done:!1}}},ej=class extends tn{constructor(e,t){super(),this.upstream=e,this.predicate=t,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Filter`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;){let e=await this.upstream.next();if(e.done||this.predicate(e.value))return e;_e(e.value)}}},tj=class extends tn{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> Map`}async next(){let e=await this.upstream.next();if(e.done)return{value:null,done:!0};let t=Va.getTensorsInContainer(e.value),n=this.transform(e.value),a=Va.getTensorsInContainer(n);for(let r of t)Va.isTensorInList(r,a)||r.dispose();return{value:n,done:!1}}},nj=class extends tn{constructor(e,t){super(),this.upstream=e,this.handler=t,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> handleErrors`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;)try{return await this.upstream.next()}catch(e){if(!this.handler(e))return{value:null,done:!0}}}},aI=class extends tn{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> AsyncMap`}async next(){let e=await this.upstream.next();if(e.done)return{value:null,done:!0};let t=Va.getTensorsInContainer(e.value),n=await this.transform(e.value),a=Va.getTensorsInContainer(n);for(let r of t)Va.isTensorInList(r,a)||r.dispose();return{value:n,done:!1}}},D0=class extends tn{constructor(){super(),this.outputQueue=new $0,this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.outputQueue.length()===0;)if(!await this.pump())return{value:null,done:!0};return{value:this.outputQueue.shift(),done:!1}}},aj=class extends D0{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> Flatmap`}async pump(){let e=await this.upstream.next();if(e.done)return!1;let t=Va.getTensorsInContainer(e.value),n=this.transform(e.value),a=Va.getTensorsInContainer(n);this.outputQueue.pushAll(n);for(let r of t)Va.isTensorInList(r,a)||r.dispose();return!0}},X2=class extends tn{constructor(e,t){super(),this.baseErrorHandler=t,this.lastRead=null,this.iterator=null,this.moreIterators=e}summary(){return"TODO: fill in upstream of chained summaries -> Chained"}async next(){return this.lastRead=this.readFromChain(this.lastRead),this.lastRead}async readFromChain(e){if(await e,this.iterator==null){let n=await this.moreIterators.next();if(n.done)return{value:null,done:!0};this.iterator=n.value,this.baseErrorHandler!=null&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler))}let t=await this.iterator.next();return t.done?(this.iterator=null,this.readFromChain(e)):t}},ts;(function(e){e[e.FAIL=0]="FAIL",e[e.SHORTEST=1]="SHORTEST",e[e.LONGEST=2]="LONGEST"})(ts||(ts={}));var rj=class extends tn{constructor(e,t=ts.FAIL){super(),this.iterators=e,this.mismatchMode=t,this.count=0,this.currentPromise=null}summary(){return"{TODO: fill in upstream of zip summaries} -> Zip"}async nextState(e){await e;let t=0,n=0;function a(s){return s instanceof tn?{value:s.next().then(i=>(t++,i.done&&n++,i.value)),recurse:!1}:{value:null,recurse:!0}}let r=await j2(this.iterators,a);if(t===n)return{value:null,done:!0};if(n>0)switch(this.mismatchMode){case ts.FAIL:throw new Error(`Zipped streams should have the same length. Mismatched at element ${this.count}.`);case ts.SHORTEST:return{value:null,done:!0};case ts.LONGEST:default:}return this.count++,{value:r,done:!1}}async next(){return this.currentPromise=this.nextState(this.currentPromise),this.currentPromise}},Y2=class extends tn{constructor(e,t){super(),this.upstream=e,this.bufferSize=t,this.buffer=new q2(t)}summary(){return`${this.upstream.summary()} -> Prefetch`}refill(){for(;!this.buffer.isFull();){let e=this.upstream.next();this.buffer.push(e)}}next(){return this.refill(),this.buffer.shift()}},sj=class extends Y2{constructor(e,t,n){super(e,t),this.upstream=e,this.windowSize=t,this.upstreamExhausted=!1,this.random=z6.alea(n||v.now().toString()),this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}randomInt(e){return Math.floor(this.random()*e)}chooseIndex(){return this.randomInt(this.buffer.length())}async serialNext(){for(this.upstreamExhausted||this.refill();!this.buffer.isEmpty();){let e=this.chooseIndex(),t=await this.buffer.shuffleExcise(e);if(t.done)this.upstreamExhausted=!0;else return this.refill(),t}return{value:null,done:!0}}},qu=class{constructor(){this.size=null}batch(e,t=!0){let n=this;v.assert(e>0,()=>`batchSize needs to be positive, but it is + ${e}`);let a;return this.size===1/0||this.size==null?a=this.size:t?a=Math.ceil(this.size/e):a=Math.floor(this.size/e),Xn(async()=>(await n.iterator()).columnMajorBatch(e,t,lj),a)}concatenate(e){let t=this,n;return this.size===1/0||e.size===1/0?n=1/0:this.size!=null&&e.size!=null?n=this.size+e.size:n=null,Xn(async()=>(await t.iterator()).concatenate(await e.iterator()),n)}filter(e){let t=this,n;return this.size===1/0?n=1/0:n=null,Xn(async()=>(await t.iterator()).filter(a=>P(()=>e(a))),n)}async forEachAsync(e){return(await this.iterator()).forEachAsync(e)}map(e){let t=this;return Xn(async()=>(await t.iterator()).map(n=>P(()=>e(n))),this.size)}mapAsync(e){let t=this;return Xn(async()=>(await t.iterator()).mapAsync(e),this.size)}prefetch(e){if(e==null)throw new RangeError("`Dataset.prefetch()` requires bufferSize to be specified.");let t=this;return Xn(async()=>(await t.iterator()).prefetch(e),this.size)}repeat(e){let t=this,n;return this.size!=null&&e>0?n=this.size*e:e===0?n=0:this.size!=null&&(e===void 0||e<0)?n=1/0:n=null,Xn(async()=>{let a=F0(async()=>({value:await t.iterator(),done:!1}));return j6(a.take(e))},n)}skip(e){let t=this,n;return this.size!=null&&e>=0&&this.size>=e?n=this.size-e:this.size!=null&&(this.size(await t.iterator()).skip(e),n)}shuffle(e,t,n=!0){if(e==null||e<0)throw this.size==null?new RangeError("`Dataset.shuffle()` requires bufferSize to be specified."):new RangeError(`\`Dataset.shuffle()\` requires bufferSize to be specified. If your data fits in main memory (for regular JS objects), and/or GPU memory (for \`tf.Tensor\`s), consider setting bufferSize to the dataset size (${this.size} elements)`);let a=this,r=L6.alea(t||v.now().toString());return Xn(async()=>{let s=r.int32();return n&&(s+=r.int32()),(await a.iterator()).shuffle(e,s.toString())},this.size)}take(e){let t=this,n;return this.size!=null&&this.size>e?n=e:this.size!=null&&this.size<=e?n=this.size:n=null,Xn(async()=>(await t.iterator()).take(e),n)}async toArray(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArray()}async toArrayForTest(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArrayForTest()}};qu.MAX_BUFFER_SIZE=1e4;function Xn(e,t=null){return new class extends qu{constructor(){super(...arguments),this.size=t}async iterator(){return e()}}}function ij(e){return Xn(async()=>K2(e),e.length)}function oj(e){if(!Cl(e))throw new Error("The argument to zip() must be an object or array.");let t;if(Array.isArray(e))for(let n=0;n{let n=await j2(e,a=>{if(a instanceof qu)return{value:a.iterator(),recurse:!1};if(Cl(a))return{value:null,recurse:!0};throw new Error("Leaves of the structure passed to zip() must be Datasets, not primitives.")});return q6(n,ts.SHORTEST)},t)}function lj(e){if(e===null)return null;let t=e[0];return V6(t)?{value:uj(e),recurse:!1}:{value:null,recurse:!0}}function uj(e){if(e.length===0)throw new Error("Can't make a batch of zero elements.");return e[0]instanceof Te?Ft(e):In(e)}var Z2=class extends qu{constructor(e){super(),this.input=e}async iterator(){return(await this.input.iterator()).decodeUTF8().split(` +`).map(e=>(e.endsWith("\r")&&(e=e.slice(0,-1)),e))}},dh='"',Fp=Symbol("out"),rI=Symbol("field"),hh=Symbol("quote"),Iy=Symbol("quoteafterquote"),sI=Symbol("quoteinquote"),J2=class extends qu{constructor(e,t){super(),this.input=e,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=",",this.delimWhitespace=!1,this.base=new Z2(e),t||(t={}),this.hasHeader=t.hasHeader!==!1,this.fullColumnNames=t.columnNames,this.columnConfigs=t.columnConfigs,this.configuredColumnsOnly=t.configuredColumnsOnly,t.delimWhitespace?(v.assert(t.delimiter==null,()=>"Delimiter should not be provided when delimWhitespace is true."),this.delimWhitespace=!0,this.delimiter=" "):this.delimiter=t.delimiter?t.delimiter:","}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){let e=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!e)throw new Error("Column names must be provided if there is no header line.");this.fullColumnNames&&e&&v.assert(e.length===this.fullColumnNames.length,()=>"The length of provided columnNames ("+this.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+e.length.toString()+")."),this.fullColumnNames||(this.fullColumnNames=e);let t=this.fullColumnNames.reduce((a,r)=>(a[r]=a[r]+1||1,a),{}),n=Object.keys(t).filter(a=>t[a]>1);if(v.assert(n.length===0,()=>"Duplicate column names found: "+n.toString()),this.columnConfigs){for(let a of Object.keys(this.columnConfigs))if(this.fullColumnNames.indexOf(a)===-1)throw new Error('The key "'+a+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").")}this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){let e=await(await this.base.iterator()).next();if(e.done)throw new Error("No data was found for CSV parsing.");let t=e.value;return this.parseRow(t,!1)}else return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let e=await this.base.iterator();return this.hasHeader&&(e=e.skip(1)),e.map(t=>this.makeDataElement(t))}makeDataElement(e){let t=this.parseRow(e),n={},a={};for(let r=0;r14||!Number.isInteger(t))throw new Error(`Invalid fftSize: it must be a power of 2 between 2 to 4 and 2 to 14, but got ${this.fftSize}`);if(this.numFrames=e.numFramesPerSpectrogram||43,this.sampleRateHz=e.sampleRateHz,this.columnTruncateLength=e.columnTruncateLength||this.fftSize,this.audioTrackConstraints=e.audioTrackConstraints,this.smoothingTimeConstant=e.smoothingTimeConstant||0,this.includeSpectrogram=e.includeSpectrogram!==!1,this.includeWaveform=e.includeWaveform===!0,!this.includeSpectrogram&&!this.includeWaveform)throw new Error("Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.")}summary(){return"microphone"}static async create(e={}){if(!H().get("IS_BROWSER"))throw new Error("microphone API is only supported in browser environment.");let t=new Q2(e);return await t.start(),t}async start(){try{this.stream=await navigator.mediaDevices.getUserMedia({audio:this.audioTrackConstraints==null?!0:this.audioTrackConstraints,video:!1})}catch(n){throw new Error(`Error thrown while initializing video stream: ${n.message}`)}if(!this.stream)throw new Error("Could not obtain audio from microphone.");let e=window.AudioContext||window.webkitAudioContext;if(this.audioContext=new e,!this.sampleRateHz)this.sampleRateHz=this.audioContext.sampleRate;else if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error(`Mismatch in sampling rate: Expected: ${this.sampleRateHz}; Actual: ${this.audioContext.sampleRate}`);let t=this.audioContext.createMediaStreamSource(this.stream);this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=this.fftSize*2,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,t.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize)}async next(){if(this.isClosed)return{value:null,done:!0};let e,t,n=await this.getAudioData();if(this.includeSpectrogram){let a=this.flattenQueue(n.freqDataQueue);e=this.getTensorFromAudioDataArray(a,[this.numFrames,this.columnTruncateLength,1])}if(this.includeWaveform){let a=this.flattenQueue(n.timeDataQueue);t=this.getTensorFromAudioDataArray(a,[this.numFrames*this.fftSize,1])}return{value:{spectrogram:e,waveform:t},done:!1}}async capture(){return(await this.next()).value}async getAudioData(){let e=[],t=[],n=0;return new Promise(a=>{let r=setInterval(()=>{this.includeSpectrogram&&(this.analyser.getFloatFrequencyData(this.freqData),this.freqData[0]===-1/0&&a({freqDataQueue:e,timeDataQueue:t}),e.push(this.freqData.slice(0,this.columnTruncateLength))),this.includeWaveform&&(this.analyser.getFloatTimeDomainData(this.timeData),t.push(this.timeData.slice())),++n===this.numFrames&&(clearInterval(r),a({freqDataQueue:e,timeDataQueue:t}))},this.fftSize/this.sampleRateHz*1e3)})}stop(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),this.stream!=null&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())}toArray(){throw new Error("Can not convert infinite audio stream to array.")}getSampleRate(){return this.sampleRateHz}flattenQueue(e){let t=e[0].length,n=new Float32Array(e.length*t);return e.forEach((a,r)=>n.set(a,r*t)),n}getTensorFromAudioDataArray(e,t){let n=new Float32Array(v.sizeFromShape(t));return n.set(e,n.length-e.length),In(n,t)}},eC=class extends tn{constructor(e,t){if(super(),this.webcamVideoElement=e,this.webcamConfig=t,this.isClosed=!0,this.resize=!1,this.needToResize())if(this.resize=!0,this.cropSize=[this.webcamConfig.resizeHeight,this.webcamConfig.resizeWidth],this.cropBoxInd=Ke([0],"int32"),this.webcamConfig.centerCrop){let n=this.webcamConfig.resizeWidth*1/this.webcamVideoElement.width,a=this.webcamConfig.resizeHeight*1/this.webcamVideoElement.height,r=(1-n)/2,s=(1-a)/2,i=r+n,o=a+s;this.cropBox=Aa([s,r,o,i],[1,4])}else this.cropBox=Aa([0,0,1,1],[1,4])}summary(){return"webcam"}static async create(e,t={}){if(!H().get("IS_BROWSER"))throw new Error("tf.data.webcam is only supported in browser environment.");if(!e){if(e=document.createElement("video"),!t.resizeWidth||!t.resizeHeight)throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");e.width=t.resizeWidth,e.height=t.resizeHeight}let n=new eC(e,t);return await n.start(),n}async start(){this.webcamConfig.facingMode&&v.assert(this.webcamConfig.facingMode==="user"||this.webcamConfig.facingMode==="environment",()=>`Invalid webcam facing mode: ${this.webcamConfig.facingMode}. Please provide 'user' or 'environment'`);try{this.stream=await navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:"user",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}})}catch(e){throw e.message=`Error thrown while initializing video stream: ${e.message}`,e}if(!this.stream)throw new Error("Could not obtain video from webcam.");try{this.webcamVideoElement.srcObject=this.stream}catch(e){console.log(e),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,new Promise(e=>{this.webcamVideoElement.onloadedmetadata=()=>{e()}})}async next(){if(this.isClosed)return{value:null,done:!0};let e;try{e=ho.fromPixels(this.webcamVideoElement)}catch(t){throw new Error(`Error thrown converting video to pixels: ${JSON.stringify(t)}`)}if(this.resize)try{return{value:this.cropAndResizeFrame(e),done:!1}}catch(t){throw new Error(`Error thrown cropping the video: ${t.message}`)}finally{e.dispose()}else return{value:e,done:!1}}needToResize(){return!!(this.webcamConfig.resizeWidth&&this.webcamConfig.resizeHeight&&(this.webcamVideoElement.width!==this.webcamConfig.resizeWidth||this.webcamVideoElement.height!==this.webcamConfig.resizeHeight))}cropAndResizeFrame(e){return P(()=>{let t=Zt(oe(e,"float32"),0),n;n=za.cropAndResize(t,this.cropBox,this.cropBoxInd,this.cropSize,"bilinear");let a=n.shape;return W(n,a.slice(1))})}async capture(){return(await this.next()).value}stop(){this.stream.getTracks().forEach(e=>e.stop());try{this.webcamVideoElement.srcObject=null}catch(e){console.log(e),this.webcamVideoElement.src=null}this.isClosed=!0}toArray(){throw new Error("Can not convert infinite video stream to array.")}},tC=class{},nC=class extends tn{split(e){return new pj(this,e)}},pj=class extends nC{constructor(e,t){super(),this.upstream=e,this.impl=new cj(e,t)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},cj=class extends D0{constructor(e,t){super(),this.upstream=e,this.separator=t,this.carryover=""}summary(){return`${this.upstream.summary()} -> Split('${this.separator}')`}async pump(){let e=await this.upstream.next();if(e.done)return this.carryover===""?!1:(this.outputQueue.push(this.carryover),this.carryover="",!0);let t=e.value.split(this.separator);t[0]=this.carryover+t[0];for(let n of t.slice(0,-1))this.outputQueue.push(n);return this.carryover=t[t.length-1],!0}},dj=class extends tn{decodeUTF8(){return new hj(this)}},hj=class extends nC{constructor(e){super(),this.upstream=e,this.impl=new mj(e)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},mj=class extends D0{constructor(e){if(super(),this.upstream=e,H().get("IS_BROWSER"))this.decoder=new TextDecoder("utf-8");else{let{StringDecoder:t}=BI();this.decoder=new t("utf8")}}summary(){return`${this.upstream.summary()} -> Utf8`}async pump(){let e=await this.upstream.next(),t;if(e.done)return!1;t=e.value;let n;return H().get("IS_BROWSER")?n=this.decoder.decode(t,{stream:!0}):n=this.decoder.write(Buffer.from(t.buffer)),this.outputQueue.push(n),!0}},aC=class extends dj{constructor(e,t={}){super(),this.file=e,this.options=t,v.assert(e instanceof Uint8Array||(H().get("IS_BROWSER")?e instanceof File||e instanceof Blob:!1),()=>"FileChunkIterator only supports File, Blob and Uint8Array right now."),this.offset=t.offset||0,this.chunkSize=t.chunkSize||1024*1024}summary(){return`FileChunks ${this.file}`}async next(){return this.offset>=(this.file instanceof Uint8Array?this.file.byteLength:this.file.size)?{value:null,done:!0}:{value:await new Promise((e,t)=>{let n=this.offset+this.chunkSize;if(this.file instanceof Uint8Array)e(new Uint8Array(this.file.slice(this.offset,n)));else{let a=new FileReader;a.onload=s=>{let i=a.result;if(i instanceof ArrayBuffer&&(i=new Uint8Array(i)),!(i instanceof Uint8Array))return t(new TypeError("FileReader returned unknown type."));e(i)},a.onabort=s=>t(new Error("Aborted")),a.onerror=s=>t(new Error(s.type));let r=this.file.slice(this.offset,n);a.readAsArrayBuffer(r)}this.offset=n}),done:!1}}};async function fj(e,t={},n){let a,r;typeof e=="string"?a=e:(a=e.url,r=gj(e));let s=await(n||v.fetch)(a,r);if(s.ok){let i=new Uint8Array(await s.arrayBuffer());return new aC(i,t)}else throw new Error(s.statusText)}var gj=e=>({method:e.method,headers:e.headers,body:e.body,mode:e.mode,credentials:e.credentials,cache:e.cache,redirect:e.redirect,referrer:e.referrer,integrity:e.integrity});function rC(e){return typeof e=="string"&&e.slice(0,7)==="file://"}var sC=class extends tC{constructor(e,t={}){super(),this.input=e,this.options=t}async iterator(){if(rC(this.input)&&H().get("IS_NODE")){let e=Cx();this.input=e.readFileSync(this.input.slice(7))}return new aC(this.input,this.options)}},iC=class extends tC{constructor(e,t={}){super(),this.url=e,this.fileOptions=t}async iterator(){return rC(this.url)?new sC(this.url,this.fileOptions).iterator():fj(this.url,this.fileOptions)}};function bj(e,t={}){return new J2(new iC(e),t)}function yj(e){let t=F0(e);return Xn(async()=>t)}function xj(e){return Xn(async()=>{let t=await e();return F0(()=>t.next())})}async function vj(e,t){return eC.create(e,t)}async function wj(e){return Q2.create(e)}var kj="4.0.0";function ge(e,t){Array.isArray(e)||(e=[e]),e.forEach(n=>{n!=null&&v.assert(n.dtype!=="complex64",()=>`${t} does not support complex64 tensors in the CPU backend.`)})}var Ij=hr.whereImpl,R0=class extends pc{constructor(){super(),this.blockSize=48,this.firstUse=!0,this.data=new om(this,_a())}nextDataId(){return R0.nextDataId++}write(e,t,n){this.firstUse&&(this.firstUse=!1,H().get("IS_NODE")&&N.warn(` ============================ Hi, looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, visit https://github.com/tensorflow/tfjs-node for more details. -============================`));let a={id:this.nextDataId()};return this.data.set(a,{values:e,dtype:n,refCount:1}),a}makeTensorInfo(e,t,n){let a;if(t==="string"&&n!=null&&n.length>0&&v.isString(n[0])){let r=n.map(s=>v.encodeString(s));a=this.write(r,e,t)}else a=this.write(n,e,t);return{dataId:a,shape:e,dtype:t}}refCount(e){return this.data.has(e)?this.data.get(e).refCount:0}incRef(e){let t=this.data.get(e);t.refCount++}decRef(e){if(this.data.has(e)){let t=this.data.get(e);t.refCount--}}move(e,t,n,a,r){this.data.set(e,{values:t,dtype:a,refCount:r})}numDataIds(){return this.data.numDataIds()}async read(e){return this.readSync(e)}readSync(e){let{dtype:t,complexTensorInfos:n}=this.data.get(e);if(t==="complex64"){let a=this.readSync(n.real.dataId),r=this.readSync(n.imag.dataId);return N.mergeRealAndImagArrays(a,r)}return this.data.get(e).values}bufferSync(e){let t=this.readSync(e.dataId);if(e.dtype==="string")try{let n=t.map(a=>v.decodeString(a));return Oe(e.shape,e.dtype,n)}catch(n){throw new Error("Failed to decode encoded string bytes into utf-8")}return Oe(e.shape,e.dtype,t)}makeOutput(e,t,n){return er().makeTensorFromTensorInfo(this.makeTensorInfo(t,n,e),this)}disposeData(e,t=!1){if(this.data.has(e)){if(this.data.get(e).refCount--,!t&&this.data.get(e).refCount>0)return!1;let{complexTensorInfos:n}=this.data.get(e);n!=null&&(this.disposeData(n.real.dataId,!0),this.disposeData(n.imag.dataId,!0)),this.data.delete(e)}return!0}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}async time(e){let t=v.now();return e(),{kernelMs:v.now()-t}}memory(){return{unreliable:!0,reasons:["The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less."]}}where(e){ge([e],"where");let t=this.readSync(e.dataId);return cj(e.shape,t)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}};A0.nextDataId=0;var eC={};_e(eC,{addImpl:()=>aC,bincountImpl:()=>F0,bincountReduceImpl:()=>rC,castImpl:()=>nC,ceilImpl:()=>sC,concatImpl:()=>D0,equalImpl:()=>iC,expImpl:()=>lC,expm1Impl:()=>pC,floorImpl:()=>cC,gatherNdImpl:()=>dC,gatherV2Impl:()=>hC,greaterEqualImpl:()=>fC,greaterImpl:()=>mC,lessEqualImpl:()=>bC,lessImpl:()=>gC,linSpaceImpl:()=>yC,logImpl:()=>xC,maxImpl:()=>vC,maximumImpl:()=>wC,minimumImpl:()=>kC,multiplyImpl:()=>R0,negImpl:()=>IC,notEqualImpl:()=>SC,prodImpl:()=>TC,raggedGatherImpl:()=>NC,raggedTensorToTensorImpl:()=>CC,rangeImpl:()=>P0,rsqrtImpl:()=>_C,scatterImpl:()=>ol,sigmoidImpl:()=>sq,simpleAbsImpl:()=>tC,sliceImpl:()=>Zh,sparseFillEmptyRowsImpl:()=>AC,sparseReshapeImpl:()=>$C,sparseSegmentReductionImpl:()=>O0,sqrtImpl:()=>lq,squaredDifferenceImpl:()=>FC,stridedSliceImpl:()=>DC,stringNGramsImpl:()=>L0,stringSplitImpl:()=>z0,stringToHashBucketFastImpl:()=>B0,subImpl:()=>RC,tileImpl:()=>MC,topKImpl:()=>OC,transposeImpl:()=>M0,uniqueImpl:()=>LC});function tC(e){let t=new Float32Array(e.length);for(let n=0;n{let{x:t}=e.inputs,n=e.backend;ge(t,"abs");let a=new Float32Array(v.sizeFromShape(t.shape)),r=n.data.get(t.dataId).values;return a=tC(r),n.makeOutput(a,t.shape,t.dtype)},hj={kernelName:$l,backendName:"cpu",kernelFunc:dj};function Vt(e){return(t,n,a,r,s)=>{let i=N.assertAndGetBroadcastShape(t,n),o=i.length,l=v.computeStrides(i),u=v.sizeFromShape(i),p=v.getTypedArrayFromDType(s,u),d=t.length,c=n.length,h=v.computeStrides(t),m=v.computeStrides(n),f=N.getBroadcastDims(t,i),g=N.getBroadcastDims(n,i);if(f.length+g.length===0)for(let b=0;bx[C]=0);let w=v.locToIndex(x,d,h),I=y.slice(-c);g.forEach(C=>I[C]=0);let T=v.locToIndex(I,c,m);p[b]=e(a[w],r[T])}return[p,i]}}function Yn(e){let{inputs:t,backend:n}=e,{real:a,imag:r}=t,s=n.data.get(a.dataId).values,i=n.data.get(r.dataId).values,o=n.makeTensorInfo(a.shape,"complex64"),l=n.data.get(o.dataId);return l.complexTensorInfos={real:n.makeTensorInfo(a.shape,"float32",s),imag:n.makeTensorInfo(r.shape,"float32",i)},o}var mj={kernelName:hm,backendName:"cpu",kernelFunc:Yn};function Yh(e,t,n="float32"){if(n==="complex64"){let r=Yh(e,t,"float32"),s=Yh(e,t,"float32");return Yn({inputs:{real:r,imag:s},backend:e})}let a=v.makeZerosTypedArray(v.sizeFromShape(t),n);return e.makeTensorInfo(t,n,a)}function ur(e){let{inputs:t,backend:n}=e,{x:a}=t;return n.incRef(a.dataId),{dataId:a.dataId,shape:a.shape,dtype:a.dtype}}var fj={kernelName:Ri,backendName:"cpu",kernelFunc:ur};function ui(e){let{inputs:t,backend:n}=e,{input:a}=t,r=n.data.get(a.dataId).complexTensorInfos.real,s=n.data.get(r.dataId).values;return n.makeTensorInfo(r.shape,r.dtype,s)}var gj={kernelName:Rm,backendName:"cpu",kernelFunc:ui};function nC(e,t,n,a){if(a==="int32"){let r=Int32Array.from(e);return[t,"int32",r]}if(a==="bool"){let r=v.toTypedArray([0],n),[s,i]=Vt((o,l)=>o!==l?1:0)(t,[],e,r,"bool");return[i,"bool",s]}throw new Error(`Error in Cast: failed to cast ${n} to ${a}`)}function cs(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dtype:s}=a;if(s==="complex64"){if(r.dtype==="complex64")return ur({inputs:{x:r},backend:n});let p=Yh(n,r.shape,r.dtype),d=cs({inputs:{x:r},backend:n,attrs:{dtype:"float32"}}),c=Yn({inputs:{real:d,imag:p},backend:n});return n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(d),c}if(r.dtype==="complex64"){let p=ui({inputs:{input:r},backend:n}),d=cs({inputs:{x:p},backend:n,attrs:{dtype:s}});return n.disposeIntermediateTensorInfo(p),d}if(!v.hasEncodingLoss(r.dtype,s)){let p=ur({inputs:{x:r},backend:n});return{dataId:p.dataId,shape:p.shape,dtype:s}}let i=n.data.get(r.dataId).values,[o,l,u]=nC(i,r.shape,r.dtype,s);return n.makeTensorInfo(o,l,u)}var bj={kernelName:xi,backendName:"cpu",kernelFunc:cs};function tn(e,t,n,a){return n==null?({inputs:r,backend:s})=>{let{a:i,b:o}=r,l=s;ge([i,o],e);let u=l.data.get(i.dataId).values,p=l.data.get(o.dataId).values,d=i.dtype==="string"?N.fromUint8ToStringArray(u):u,c=i.dtype==="string"?N.fromUint8ToStringArray(p):p,h=a||i.dtype,[m,f]=t(i.shape,o.shape,d,c,h);return l.makeTensorInfo(f,h,m)}:({inputs:r,backend:s})=>{let{a:i,b:o}=r,l=s;if(i.dtype==="complex64"||o.dtype==="complex64"){let u=cs({inputs:{x:i},backend:l,attrs:{dtype:"complex64"}}),p=l.data.get(u.dataId),d=p.complexTensorInfos.real,c=p.complexTensorInfos.imag,h=l.data.get(d.dataId).values,m=l.data.get(c.dataId).values,f=cs({inputs:{x:o},backend:l,attrs:{dtype:"complex64"}}),g=l.data.get(f.dataId),b=g.complexTensorInfos.real,y=g.complexTensorInfos.imag,x=l.data.get(b.dataId).values,w=l.data.get(y.dataId).values,[I,T,C]=n(i.shape,o.shape,h,m,x,w),E=l.makeTensorInfo(C,"float32",I),A=l.makeTensorInfo(C,"float32",T),R=Yn({inputs:{real:E,imag:A},backend:l});return l.disposeIntermediateTensorInfo(u),l.disposeIntermediateTensorInfo(f),l.disposeIntermediateTensorInfo(E),l.disposeIntermediateTensorInfo(A),R}else{let u=l.data.get(i.dataId).values,p=l.data.get(o.dataId).values,d=a||i.dtype,[c,h]=t(i.shape,o.shape,u,p,d);return l.makeTensorInfo(h,d,c)}}}function $0(e){return(t,n,a,r,s,i)=>{let o=N.assertAndGetBroadcastShape(t,n),l=v.sizeFromShape(o),u=o.length,p=v.computeStrides(o),d=v.getTypedArrayFromDType("float32",l),c=v.getTypedArrayFromDType("float32",l),h=N.getBroadcastDims(t,o),m=N.getBroadcastDims(n,o),f=N.mergeRealAndImagArrays(a,r),g=N.mergeRealAndImagArrays(s,i),b=t.length,y=v.computeStrides(t),x=n.length,w=v.computeStrides(n);if(h.length+m.length===0)for(let I=0;IC[S]=0);let E=v.locToIndex(C,b,y),A=T.slice(-x);m.forEach(S=>A[S]=0);let R=v.locToIndex(A,x,w),F=e(f[E*2],f[E*2+1],g[R*2],g[R*2+1]);d[I]=F.real,c[I]=F.imag}return[d,c,o]}}var aC=Vt((e,t)=>e+t),yj=$0((e,t,n,a)=>({real:e+n,imag:t+a})),Nl=tn(fs,aC,yj),xj={kernelName:fs,backendName:"cpu",kernelFunc:Nl};function F0(e,t,n,a,r){let s=v.sizeFromShape(a),i=v.makeZerosTypedArray(r,n);for(let o=0;o=r||(s>0?i[l]+=t[o]:i[l]+=1)}return i}function rC(e,t,n,a=!1){let r=e.shape[0],s=e.shape[1],i=Oe([r,n],t.dtype);for(let o=0;o=n||(a?i.set(1,o,u):t.size>0?i.set(i.get(o,u)+t.get(o,l),o,u):i.set(i.get(o,u)+1,o,u))}return i}function Cs(e){return(t,n,a)=>{let r=v.getTypedArrayFromDType(n,t.length);for(let s=0;s{let{x:i}=a;if(ge(i,e),i.dtype==="string"||n==="string")throw new Error("unaryKernelFunc does not support string input/output");let o=s,l=o.data.get(i.dataId).values,u=v.sizeFromShape(i.shape),p=n||i.dtype,d=v.getArrayFromDType(p,u);for(let c=0;c{let{x:i}=a;if(ge(i,e),i.dtype==="string"||n==="string")throw new Error("unaryKernelFunc does not support string input/output");let o=s,l=o.data.get(i.dataId).values,u=n||i.dtype,p=t(l,u,r);return o.makeTensorInfo(i.shape,u,p)}}var sC=Cs(e=>Math.ceil(e)),vj=ju(vi,sC),wj={kernelName:vi,backendName:"cpu",kernelFunc:vj};function D0(e,t,n,a){let r=v.getArrayFromDType(n,v.sizeFromShape(t));if(a&&n!=="string"){let s=0;e.forEach(i=>{let o=v.sizeFromShape(i.shape);r.set(i.vals,s),s+=o})}else{let s=0;e.forEach(i=>{let o=n==="string"?N.fromUint8ToStringArray(i.vals):i.vals,l=0;for(let u=0;ue===t?1:0),oC=tn(ql,iC,null,"bool"),kj={kernelName:ql,backendName:"cpu",kernelFunc:oC},lC=Cs(e=>Math.exp(e)),uC=ju(Ei,lC,"float32"),Ij={kernelName:Ei,backendName:"cpu",kernelFunc:uC},pC=Cs(e=>Math.expm1(e)),Sj=ju(Xl,pC),Tj={kernelName:Xl,backendName:"cpu",kernelFunc:Sj},cC=Cs(e=>Math.floor(e)),Nj=ju(Ai,cC),Cj={kernelName:Ai,backendName:"cpu",kernelFunc:Nj};function dC(e,t,n,a,r,s,i,o,l){let u=Oe([a,s],n);for(let p=0;p=l/s)throw new Error(`Invalid indices: ${d} does not index into ${o}`);for(let h=0;he>t?1:0),_j=tn(Ql,mC,null,"bool"),Ej={kernelName:Ql,backendName:"cpu",kernelFunc:_j},fC=Vt((e,t)=>e>=t?1:0),Aj=tn(Di,fC,null,"bool"),$j={kernelName:Di,backendName:"cpu",kernelFunc:Aj},gC=Vt((e,t)=>ee<=t?1:0),Rj=tn(ru,bC,null,"bool"),Mj={kernelName:ru,backendName:"cpu",kernelFunc:Rj};function yC(e,t,n){let a=(t-e)/(n-1),r=v.makeZerosTypedArray(n,"float32");r[0]=e;for(let s=1;sMath.log(e)),Pj=ju(Pi,xC),Oj={kernelName:Pi,backendName:"cpu",kernelFunc:Pj};function vC(e,t,n,a){let r=v.getTypedArrayFromDType(a,v.sizeFromShape(n));for(let s=0;so)&&(o=u)}r[s]=o}return r}var wC=Vt((e,t)=>Math.max(e,t)),Lj=tn(Li,wC),zj={kernelName:Li,backendName:"cpu",kernelFunc:Lj},kC=Vt((e,t)=>Math.min(e,t)),Bj=tn(Vi,kC),Wj={kernelName:Vi,backendName:"cpu",kernelFunc:Bj},R0=Vt((e,t)=>e*t),Vj=$0((e,t,n,a)=>({real:e*n-t*a,imag:e*a+t*n})),Hf=tn(Gi,R0,Vj),Uj={kernelName:Gi,backendName:"cpu",kernelFunc:Hf};function IC(e,t,n){let a=v.createScalarValue(-1,n);return R0([],t,a,e,n)}function Gj(e){let{inputs:t,backend:n}=e,{x:a}=t;ge(a,"neg");let r=n.data.get(a.dataId).values,[s,i]=IC(r,a.shape,a.dtype);return n.makeTensorInfo(i,a.dtype,s)}var Hj={kernelName:pu,backendName:"cpu",kernelFunc:Gj},SC=Vt((e,t)=>e!==t?1:0),jj=tn(cu,SC,null,"bool"),qj={kernelName:cu,backendName:"cpu",kernelFunc:jj};function M0(e,t,n,a,r){let s=t.length,i=v.sizeFromShape(t),o=v.computeStrides(t),l=v.computeStrides(r),u=v.getTypedArrayFromDType(n,v.sizeFromShape(r));for(let p=0;pn.disposeIntermediateTensorInfo(y)),n.makeTensorInfo(b,g,m)}var Yj={kernelName:Xi,backendName:"cpu",kernelFunc:Xj};function Zj(e,t,n){e.forEach((a,r)=>{if(a<0||a>=n){let s=v.indexToLoc(r,t.length,v.computeStrides(t)).join(",");throw new Error(`indices[${s}] = ${a} is not in [0, ${n})`)}})}function Jj(e,t){for(let n=0;nr)throw new Error("Ragged splits must not point past values");for(let s=1;sa[s])throw new Error("Ragged splits must be sorted in ascending order")}}function Qj(e,t,n,a){let r=[],s=0,i=t.length-1+n.length,o=new Array(i).fill(null).map(()=>[0]);Jj(n,a);let l=1;for(let u=0;u=0){let f=o[m],g=f[f.length-1]-h[p];for(let b=p;br[i]=s)}return t}function tI(e,t){let n=e.slice(0,t);for(;n.lengthn&&(n=r)}return n}static getMaxWidthValueRowID(e){let t=e.length;if(t===0)return 0;let n=0,a=e[0],r=0;for(let s=1;s"Final length of result must be equal to firstDimension."),r}calculateOutputIndexRowSplit(e,t,n,a){let r=e.length,s=[];for(let i=0;i0&&s.length!==e[r-1])throw new Error("Invalid row split size.");return s}calculateOutputIndexValueRowID(e,t,n,a){let r=e.length,s=[];if(r===0)return[];let i=0,o=e[0];if(o>=t.length)throw new Error(`Got currentValueRowId=${o}, which is not less than ${t.length}`);let l=t[o];s.push(l);for(let u=1;u=0&&(++i,i=t.length)throw new Error(`Got nextValueRowId=${p} which is not less than ${t.length}`);l=t[p]}s.push(l)}if(s.length!==e.length)throw new Error("Invalid row ids.");return s}calculateOutputIndex(e,t,n,a){let r=this.getRowPartitionTensor(e),s=this.getRowPartitionTypeByDimension(e);switch(s){case Sa.VALUE_ROWIDS:return this.calculateOutputIndexValueRowID(r,t,n,a);case Sa.ROW_SPLITS:if(r.length-1>t.length)throw new Error(`Row partition size is greater than output size: ${r.length-1} > ${t.length}`);return this.calculateOutputIndexRowSplit(r,t,n,a);default:throw new Error(`Unsupported partition type: ${Sa[s]}`)}}getFirstDimensionSize(){let e=this.rowPartitionValues[0];if(this.rowPartitionTypes.length===0)throw new Error("No row_partition_types given.");let t=this.rowPartitionTypes[0];switch(t){case Sa.FIRST_DIM_SIZE:return e[0];case Sa.VALUE_ROWIDS:throw new Error("Cannot handle VALUE_ROWIDS in first dimension.");case Sa.ROW_SPLITS:return this.rowPartitionValuesShapes[0][0]-1;default:throw new Error(`Cannot handle type ${Sa[t]}`)}}compute(){if(this.rowPartitionValues[0].length<=0)throw new Error("Invalid first partition input. Tensor requires at least one element.");let e=this.getFirstDimensionSize(),t=this.calculateOutputSize(e),n=new Array(this.raggedRank+1);n[n.length-1]=1;for(let s=n.length-2;s>=0;--s)n[s]=n[s+1]*t[s+1];let a=aI(t,!1),r=v.getArrayFromDType(this.valuesDType,v.sizeFromShape(a));if(n[0]*t[0]>0){let s=this.calculateFirstParentOutputIndex(e,n[0],t[0]);for(let i=1;i<=this.raggedRank;++i)s=this.calculateOutputIndex(i-1,s,n[i],t[i]);this.setOutput(this.raggedRank,s,r,a)}return[a,r]}setOutput(e,t,n,a){if(n.length===0)return;let r=this.values,s=n,i=a.slice();i=i.slice(e+1);let o=v.sizeFromShape(i),l=t.length,u=this.defaultValue;if(u.length!==o&&u.length!==1){let h=this.defaultValueShape;P(()=>{let m=B(u,h);u=Xs(m,i).dataSync()})}let p=0,d=0,c=0;for(let h=0;h<=l;++h){let m=h=l){let f=n.length;m=Math.floor(f/o)}if(m>c)if(this.defaultValue.length===1)s.subarray(c*o,m*o).fill(this.defaultValue[0]),c=m;else for(;m>c;){let f=s.slice(c*o);nI(f,u,o),++c}m<0?(p=h+1,d=c):(p=h,d=c,c=d+1)}}};function nI(e,t,n){for(let a=0;a= 0`);if(a<-1)throw new Error(`Dimension ${a} must be >= -1`);a=-1}n.push(a)}return n}function CC(e,t,n,a,r,s,i,o,l,u){return new ux(e,t,n,a,r,s,i,o,l,u).compute()}function P0(e,t,n,a){let r=e===t,s=e1;if(r||s||i)return v.makeZerosTypedArray(0,a);let o=Math.abs(Math.ceil((t-e)/n)),l=v.makeZerosTypedArray(o,a);t1/Math.sqrt(e)),aq=ju(no,_C),rq={kernelName:no,backendName:"cpu",kernelFunc:aq};function ol(e,t,n,a,r,s,i,o,l,u){let p=[a/r,r],d=e.values,c=t.values;if(a===0)return Oe(n,t.dtype);let h=Oe(p,t.dtype);typeof l=="string"||typeof l=="number"?h.values.fill(l):typeof l=="boolean"&&h.values.fill(+l);for(let m=0;m=a/r)throw new Error(`Invalid indices: ${f} does not index into ${n}`);for(let b=0;b1/(1+Math.exp(-e))),EC=rt(ro,e=>1/(1+Math.exp(-e))),iq={kernelName:ro,backendName:"cpu",kernelFunc:EC};function Zh(e,t,n,a,r){let s=jt.isSliceContinous(a,t,n),i=v.sizeFromShape(n),o=v.computeStrides(a);if(s){let d=jt.computeFlatOffset(t,o);return r==="string"?e.slice(d,d+i):e.subarray(d,d+i)}let l=r==="string"?N.fromUint8ToStringArray(e):e,u=Oe(a,r,l),p=Oe(n,r);for(let d=0;dm+t[f]);p.set(u.get(...h),...c)}return r==="string"?N.fromStringArrayToUint8(p.values):p.values}function pi(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{begin:s,size:i}=a;ge(r,"slice");let[o,l]=jt.parseSliceParams(r,s,i);jt.assertParamsValid(r,o,l);let u=n.data.get(r.dataId).values,p=Zh(u,o,l,r.shape,r.dtype);return n.makeTensorInfo(l,r.dtype,p)}var oq={kernelName:ku,backendName:"cpu",kernelFunc:pi};function AC(e,t,n,a,r,s,i){let o=t[0],l=s[0],u=new Array(l),p=new Array(o),d=t[1];if(l===0){if(o!==0)throw new Error(N.getSparseFillEmptyRowsIndicesDenseShapeMismatch(o));let g=v.getArrayFromDType(n,0),b=v.getArrayFromDType(r,0);return[g,[0,d],b,u,p]}let c=!0,h=0,m=new Array(l).fill(0);for(let g=0;g=l)throw new Error(N.getSparseFillEmptyRowsOutOfRangeIndexErrorMessage(g,b,l));++m[b],c=c&&b>=h,h=b}let f=!0;for(let g=0;g0&&(m[g]+=m[g-1])}if(f&&c){let g=e,b=a;for(let y=0;y0){c[d-1]=1;for(let f=d-2;f>=0;--f)c[f]=c[f+1]*a[f+1]}let h=[];if(o>0){h[o-1]=1;for(let f=o-2;f>=0;--f)h[f]=h[f+1]*l[f+1]}let m=v.getArrayFromDType(n,i*o);for(let f=0;f0?r[o-1]+1:0;if(p<0)throw new Error(N.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let d=t.slice();d[0]=p;let c=d.reduce((y,x)=>y*x,1),h=v.getArrayFromDType(n,c);if(o===0)return p>0&&h.fill(i),[h,d];if(p<=0)throw new Error(N.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let m=0,f=1,g=0,b=r[m];for(;;){let y=0;if(f=y)throw new Error(N.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage())}if(b<0||b>=p)throw new Error(N.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(b,p));b>g&&h.fill(i,g*u,b*u);for(let x=m;x=l[0])throw new Error(N.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(x,a[x],l[0]));for(let I=0;Io)break}return gMath.sqrt(e)),uq=rt(so,e=>Math.sqrt(e)),pq={kernelName:so,backendName:"cpu",kernelFunc:uq},FC=Vt((e,t)=>{let n=e-t;return n*n}),cq=tn(lo,FC),dq={kernelName:lo,backendName:"cpu",kernelFunc:cq};function DC(e,t,n,a){let r=Oe(e,t.dtype);for(let s=0;s0?0:i-o),c=0;c+=l*this.leftPad.length;for(let g=0;gg.forEach(b=>h[m++]=b);for(let g=0;g0){f(e[d+p-1]);for(let g=0;g0){let o=t[0];if(o!==0)throw new Error(`First split value must be 0, got ${o}`);for(let l=1;l=o;if(u=u&&t[l]<=n,!u)throw new Error(`Invalid split value ${t[l]}, must be in [${o}, ${n}]`);o=t[l]}if(o!==n)throw new Error(`Last split value must be data size. Expected ${n}, got ${o}`)}let r=a-1,s=v.getArrayFromDType("int32",a);if(n===0||a===0){let o=new Array(n);for(let l=0;l<=r;++l)s[l]=0;return[o,s]}s[0]=0;for(let o=1;o<=r;++o){let l=t[o]-t[o-1],u=0;this.nGramWidths.forEach(p=>{u+=this.getNumNGrams(l,p)}),this.preserveShort&&l>0&&u===0&&(u=1),s[o]=s[o-1]+u}let i=new Array(s[r]);for(let o=0;o{let d=t[o+1]-t[o],c=this.getNumNGrams(d,p);this.createNGrams(e,l,i,u,c,p),u+=c}),this.preserveShort&&u===s[o]){let p=t[o+1]-t[o];if(p===0)continue;let d=p+2*this.padWidth,c=1;this.createNGrams(e,l,i,u,c,d)}}return[i,s]}};function L0(e,t,n,a,r,s,i,o){return new hq(n,a,r,s,i,o).compute(e,t)}function mq(e,t,n,a){if(!e.length)return;if(t.length===0){for(let s=0;se-t),fq=$0((e,t,n,a)=>({real:e-n,imag:t-a})),W0=tn(uo,RC,fq),gq={kernelName:uo,backendName:"cpu",kernelFunc:W0};function MC(e,t){let n=new Array(e.rank);for(let r=0;r{let n=t.value-e.value;return n===0?e.index-t.index:n};function PC(e,t,n=0,a=e.length-1){for(;a>n;){if(a-n>600){let o=a-n+1,l=t-n+1,u=Math.log(o),p=.5*Math.exp(2*u/3),d=.5*Math.sqrt(u*p*(o-p)/o)*Math.sign(l-o/2),c=Math.max(n,Math.floor(t-l*p/o+d)),h=Math.min(a,Math.floor(t+(o-l)*p/o+d));PC(e,t,c,h)}let r=e[t],s=n,i=a;for(v.swap(e,n,t),Mp(e[a],r)>0&&v.swap(e,n,a);s0;)i=i-1}Mp(e[n],r)===0?v.swap(e,n,i):(i=i+1,v.swap(e,i,a)),i<=t&&(n=i+1),t<=i&&(a=i-1)}}function OC(e,t,n,a,r){let s=t[t.length-1],[i,o]=[e.length/s,s],l=v.getTypedArrayFromDType(n,i*a),u=v.getTypedArrayFromDType("int32",i*a);for(let d=0;dm[x]={value:y,index:x}),a{for(let g=0;gnew A0,1);var zC=rt(_i,e=>e>=0?e:Math.exp(e)-1),bq={kernelName:_i,backendName:"cpu",kernelFunc:zC};function BC(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{alpha:s}=a;ge([r],"leakyRelu");let i=v.sizeFromShape(r.shape),o=n.data.get(r.dataId).values,l=v.getTypedArrayFromDType("float32",i);for(let u=0;ue<0?t*e:e);function WC(e){let{inputs:t,backend:n}=e,{x:a,alpha:r}=t;ge([a,r],"prelu");let s=n.data.get(a.dataId).values,i=n.data.get(r.dataId).values,[o,l]=xq(a.shape,r.shape,s,i,"float32");return n.makeTensorInfo(l,"float32",o)}var vq={kernelName:Ki,backendName:"cpu",kernelFunc:WC},VC=rt(Yi,e=>Math.max(0,e)),wq={kernelName:Yi,backendName:"cpu",kernelFunc:VC},UC=rt(Qi,e=>Math.min(Math.max(0,e),6)),kq={kernelName:Qi,backendName:"cpu",kernelFunc:UC};function Jh(e,t,n,a,r){if(n==="linear")return ur({inputs:{x:t},backend:e});if(n==="relu")return VC({inputs:{x:t},backend:e});if(n==="elu")return zC({inputs:{x:t},backend:e});if(n==="relu6")return UC({inputs:{x:t},backend:e});if(n==="prelu")return WC({inputs:{x:t,alpha:a},backend:e});if(n==="leakyrelu")return BC({inputs:{x:t},backend:e,attrs:{alpha:r}});if(n==="sigmoid")return EC({inputs:{x:t},backend:e});throw new Error(`Activation ${n} has not been implemented for the CPU backend.`)}function ft(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{shape:s}=a,i=v.sizeFromShape(r.shape),o=v.inferFromImplicitShape(s,i),l=v.sizeFromShape(o);v.assert(i===l,()=>`The new shape (${o}) has ${l} elements and the old shape (${r.shape}) has ${i} elements. The new shape and old shape must have the same number of elements.`),n.incRef(r.dataId);let u=n.data.get(r.dataId);if(u.complexTensorInfos!=null){let p=u.complexTensorInfos.real,d=u.complexTensorInfos.imag;p.shape=o,d.shape=o}return{dataId:r.dataId,shape:o,dtype:r.dtype}}var Iq={kernelName:yu,backendName:"cpu",kernelFunc:ft};function GC(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s}=t,{transposeA:i,transposeB:o}=a;ge([r,s],"matMul");let l=r.shape.length,u=s.shape.length,p=i?r.shape[l-2]:r.shape[l-1],d=o?s.shape[u-1]:s.shape[u-2],c=i?r.shape[l-1]:r.shape[l-2],h=o?s.shape[u-2]:s.shape[u-1],m=r.shape.slice(0,-2),f=s.shape.slice(0,-2),g=v.sizeFromShape(m),b=v.sizeFromShape(f),y=Mu.assertAndGetBroadcastShape(r.shape.slice(0,-2),s.shape.slice(0,-2)).concat([c,h]);v.assert(p===d,()=>`Error in matMul: inner shapes (${p}) and (${d}) of Tensors with shapes ${r.shape} and ${s.shape} and transposeA=${i} and transposeB=${o} must match.`);let x=i?[g,p,c]:[g,c,p],w=o?[b,h,d]:[b,d,h],I=ft({inputs:{x:r},backend:n,attrs:{shape:x}}),T=ft({inputs:{x:s},backend:n,attrs:{shape:w}}),C=i?I.shape[1]:I.shape[2],E=i?I.shape[2]:I.shape[1],A=o?T.shape[1]:T.shape[2],R=Math.max(g,b),F=n.data.get(I.dataId).values,S=n.data.get(T.dataId).values,M=v.computeStrides(I.shape),W=v.computeStrides(T.shape),[U,G,q]=i?[M[0],1,M[1]]:[M[0],M[1],1],[K,Z,Q]=o?[1,W[1],W[0]]:[W[1],1,W[0]],ee=E*A,ae=Oe([R,E,A],I.dtype),te=ae.values,le=n.blockSize;for(let ie=0;ieMath.acos(e)),_q={kernelName:Fl,backendName:"cpu",kernelFunc:Cq},Eq=rt(Dl,e=>Math.acosh(e)),Aq={kernelName:Dl,backendName:"cpu",kernelFunc:Eq};function $q(e){let{inputs:t,backend:n}=e,a=t;ge(t,"addN");let r=a.map(o=>n.data.get(o.dataId).values),s=Oe(a[0].shape,a[0].dtype),i=s.values;for(let o=0;oy&&(y=I,x=w)}h[g]=x}return u.forEach(g=>n.disposeIntermediateTensorInfo(g)),n.makeTensorInfo(p,"int32",h)}var Lq={kernelName:gi,backendName:"cpu",kernelFunc:Oq};function zq(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s}=a;ge(r,"argMin");let i=v.parseAxisParam(s,r.shape),o=N.getAxesPermutation(i,r.shape.length),l=r,u=[];o!=null&&(l=Wn({inputs:{x:r},backend:n,attrs:{perm:o}}),u.push(l),i=N.getInnerMostAxes(i.length,l.shape.length)),i=[i[0]],N.assertAxesAreInnerMostDims("argMin",i,l.shape.length);let[p,d]=N.computeOutAndReduceShapes(l.shape,i),c=v.sizeFromShape(p),h=v.makeZerosTypedArray(c,"int32"),m=v.sizeFromShape(d),f=n.data.get(l.dataId).values;for(let g=0;gn.disposeIntermediateTensorInfo(g)),n.makeTensorInfo(p,"int32",h)}var Bq={kernelName:uc,backendName:"cpu",kernelFunc:zq},Wq=rt(Pl,e=>Math.asin(e)),Vq={kernelName:Pl,backendName:"cpu",kernelFunc:Wq},Uq=rt(Ol,e=>Math.asinh(e)),Gq={kernelName:Ol,backendName:"cpu",kernelFunc:Uq},Hq=rt(Ll,e=>Math.atan(e)),jq={kernelName:Ll,backendName:"cpu",kernelFunc:Hq},qq=Vt((e,t)=>Math.atan2(e,t)),Kq=tn(Bl,qq),Xq={kernelName:Bl,backendName:"cpu",kernelFunc:Kq},Yq=rt(zl,e=>Math.atanh(e)),Zq={kernelName:zl,backendName:"cpu",kernelFunc:Yq};function V0(e,t,n,a,r,s){let i=r.strideHeight,o=r.strideWidth,l=r.dilationHeight,u=r.dilationWidth,p=r.effectiveFilterHeight,d=r.effectiveFilterWidth,c=r.padInfo.top,h=r.padInfo.left,m=s==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,f=Oe(r.outShape,n),g=f.values,b=r.outShape[1]*r.outShape[2]*r.outShape[3],y=r.outShape[2]*r.outShape[3],x=r.outShape[3];for(let w=0;wq?q=ie:s==="avg"&&(K+=ie,Z++)}if(isNaN(q))break}let Q=S+M*x+C;g[Q]=s==="avg"?K/Z:q}}}return f}function HC(e,t,n,a,r=!1,s=!1){let i=Oe(a.outShape,"int32"),o=a.strideHeight,l=a.strideWidth,u=a.dilationHeight,p=a.dilationWidth,d=a.effectiveFilterHeight,c=a.effectiveFilterWidth,h=a.padInfo.top,m=a.padInfo.left,f=Oe(t,n,e);for(let g=0;gR&&(R=G,r?F=s?((g*a.inHeight+S)*a.inWidth+W)*a.inChannels+b:(S*a.inWidth+W)*a.inChannels+b:F=M*c+U)}}i.set(F,g,y,T,b)}}return i}function jC(e,t,n,a,r,s){let i=r.strideDepth,o=r.strideHeight,l=r.strideWidth,u=r.dilationDepth,p=r.dilationHeight,d=r.dilationWidth,c=r.effectiveFilterDepth,h=r.effectiveFilterHeight,m=r.effectiveFilterWidth,f=r.padInfo.front,g=r.padInfo.top,b=r.padInfo.left,y=s==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,x=Oe(r.outShape,n),w=x.values,I=r.outShape[1]*r.outShape[2]*r.outShape[3]*r.outShape[4],T=r.outShape[2]*r.outShape[3]*r.outShape[4],C=r.outShape[3]*r.outShape[4],E=r.outShape[4];for(let A=0;Axe?xe=dt:s==="avg"&&(Ie+=dt,Se++),isNaN(xe))break}if(isNaN(xe))break}if(isNaN(xe))break}let Le=ue+S;w[Le]=s==="avg"?Ie/Se:xe}}}}return x}function Jq(e,t){let n=Oe(t.outShape,"int32"),a=t.strideDepth,r=t.strideHeight,s=t.strideWidth,i=t.dilationDepth,o=t.dilationHeight,l=t.dilationWidth,u=t.effectiveFilterDepth,p=t.effectiveFilterHeight,d=t.effectiveFilterWidth,c=t.padInfo.front,h=t.padInfo.top,m=t.padInfo.left;for(let f=0;f=M&&(M=ee,W=G*p*d+K*p+Q)}}}n.set(W,f,b,I,A,g)}}}return n}function Qq(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t;ge(r,"avgPool");let{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=a,u=1;v.assert(N.eitherStridesOrDilationsAreOne(i,u),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${u}'`);let p=N.computePool2DInfo(r.shape,s,i,u,o,l),d;if(p.filterWidth===1&&p.filterHeight===1&&v.arraysEqual(p.inShape,p.outShape))d=ur({inputs:{x:r},backend:n});else{let c=n.data.get(r.dataId).values,h=v.computeStrides(r.shape),m=V0(c,r.shape,r.dtype,h,p,"avg");d=n.makeTensorInfo(p.outShape,r.dtype,m.values)}return d}var e5={kernelName:bi,backendName:"cpu",kernelFunc:Qq};function t5(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l,dataFormat:u}=a;ge(r,"avgPool3d");let p=N.computePool3DInfo(r.shape,s,i,1,o,l,u),d=n.data.get(r.dataId).values,c=jC(d,r.shape,r.dtype,v.computeStrides(r.shape),p,"avg");return n.makeTensorInfo(c.shape,"float32",c.values)}var n5={kernelName:pc,backendName:"cpu",kernelFunc:t5};function a5(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,{filterSize:i,strides:o,pad:l,dimRoundingMode:u}=a;ge([r,s],"avgPool3DGrad");let p=N.computePool3DInfo(s.shape,i,o,1,l,u),d=p.strideDepth,c=p.strideHeight,h=p.strideWidth,m=p.filterDepth,f=p.filterHeight,g=p.filterWidth,b=p.dilationDepth,y=p.dilationHeight,x=p.dilationWidth,w=p.effectiveFilterDepth,I=p.effectiveFilterHeight,T=p.effectiveFilterWidth,C=w-1-p.padInfo.front,E=T-1-p.padInfo.left,A=I-1-p.padInfo.top,R=Oe(s.shape,"float32"),F=1/(m*f*g),S=n.bufferSync(r);for(let M=0;M=p.outDepth||Math.floor(te)!==te))for(let le=0;le=p.outHeight||Math.floor(ie)!==ie))for(let be=0;be=p.outWidth||Math.floor(ue)!==ue||(ee+=S.get(M,te,ie,ue,W))}}}R.set(ee*F,M,U,G,q,W)}return n.makeTensorInfo(R.shape,R.dtype,R.values)}var r5={kernelName:pm,backendName:"cpu",kernelFunc:a5};function s5(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,i=s;ge([r,s],"avgPoolGrad");let{filterSize:o,strides:l,pad:u}=a,p=N.computePool2DInfo(i.shape,o,l,1,u),d=p.strideHeight,c=p.strideWidth,h=p.filterHeight,m=p.filterWidth,f=p.dilationHeight,g=p.dilationWidth,b=p.effectiveFilterHeight,y=p.effectiveFilterWidth,x=y-1-p.padInfo.left,w=b-1-p.padInfo.top,I=Oe(i.shape,"float32"),T=1/(h*m),C=n.data.get(r.dataId).values,E=Oe(r.shape,"float32",C);for(let A=0;A=p.outHeight||Math.floor(q)!==q))for(let K=0;K=p.outWidth||Math.floor(Z)!==Z||(U+=E.get(A,q,Z,R))}}I.set(U*T,A,F,S,R)}return n.makeTensorInfo(I.shape,I.dtype,I.values)}var i5={kernelName:um,backendName:"cpu",kernelFunc:s5};function o5(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,scale:s,offset:i,mean:o,variance:l}=t;v.assert(o.shape.length===l.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),v.assert(i==null||o.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),v.assert(s==null||o.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks."),ge([r,o,l,s,i],"batchNorm");let{varianceEpsilon:u}=a;u==null&&(u=.001);let p=n.data.get(r.dataId).values,d=n.data.get(o.dataId).values,c=n.data.get(l.dataId).values,h=s?n.data.get(s.dataId).values:new Float32Array([1]),m=i?n.data.get(i.dataId).values:new Float32Array([0]),f=new Float32Array(p.length),g=m.length,b=h.length,y=c.length,x=d.length,w=0,I=0,T=0,C=0;for(let E=0;E=g&&(w=0),I>=x&&(I=0),T>=b&&(T=0),C>=y&&(C=0);return n.makeTensorInfo(r.shape,r.dtype,f)}var l5={kernelName:Fi,backendName:"cpu",kernelFunc:o5};function u5(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockShape:s,crops:i}=a;ge([r],"batchToSpaceND");let o=s.reduce((b,y)=>b*y),l=N.getReshaped(r.shape,s,o),u=N.getPermuted(l.length,s.length),p=N.getReshapedPermuted(r.shape,s,o),d=N.getSliceBeginCoords(i,s.length),c=N.getSliceSize(p,i,s.length),h=ft({inputs:{x:r},backend:n,attrs:{shape:l}}),m=Wn({inputs:{x:h},backend:n,attrs:{perm:u}}),f=ft({inputs:{x:m},backend:n,attrs:{shape:p}}),g=pi({inputs:{x:f},backend:n,attrs:{begin:d,size:c}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(f),g}var p5={kernelName:Wl,backendName:"cpu",kernelFunc:u5};function c5(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,weights:s}=t,{size:i}=a,o=n.data.get(r.dataId).values,l=n.data.get(s.dataId).values,u=F0(o,l,s.dtype,s.shape,i);return n.makeTensorInfo([i],s.dtype,u)}var d5={kernelName:cm,backendName:"cpu",kernelFunc:c5};function h5(e){let{inputs:t,backend:n}=e,{s0:a,s1:r}=t,s=n.data.get(a.dataId).values,i=n.data.get(r.dataId).values,o=N.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return n.makeTensorInfo([o.length],"int32",Int32Array.from(o))}var m5={kernelName:dm,backendName:"cpu",kernelFunc:h5},f5=rt(gs,(e,t)=>{let n=t;return e>n.clipValueMax?n.clipValueMax:e{let{x:t}=e.inputs,n=e.backend,a=new Float32Array(v.sizeFromShape(t.shape)),r=n.data.get(t.dataId),s=r.complexTensorInfos.real,i=r.complexTensorInfos.imag,o=n.data.get(s.dataId).values,l=n.data.get(i.dataId).values;for(let u=0;uf.shape);N.assertParamsConsistent(i,s);let o=N.computeOutShape(t.map(f=>f.shape),s);if(v.sizeFromShape(o)===0)return n.makeTensorInfo(o,t[0].dtype,[]);let l=t.filter(f=>v.sizeFromShape(f.shape)>0);if(l.length===1)return ur({inputs:{x:l[0]},backend:n});if(l[0].dtype==="complex64"){let f=l.map(w=>ui({inputs:{input:w},backend:n})),g=l.map(w=>Cl({inputs:{input:w},backend:n})),b=_l({inputs:f,backend:n,attrs:{axis:s}}),y=_l({inputs:g,backend:n,attrs:{axis:s}}),x=Yn({inputs:{real:b,imag:y},backend:n});return f.forEach(w=>n.disposeIntermediateTensorInfo(w)),g.forEach(w=>n.disposeIntermediateTensorInfo(w)),n.disposeIntermediateTensorInfo(b),n.disposeIntermediateTensorInfo(y),x}let u=l.map(f=>{let g=v.sizeFromShape(f.shape.slice(s));return ft({inputs:{x:f},backend:n,attrs:{shape:[-1,g]}})}),p=u.map(f=>({vals:n.data.get(f.dataId).values,shape:f.shape}));o=N.computeOutShape(u.map(f=>f.shape),1);let d=u[0].shape[0]===1,c=D0(p,o,t[0].dtype,d),h=N.computeOutShape(l.map(f=>f.shape),s),m=n.makeTensorInfo(h,t[0].dtype,c);return u.forEach(f=>n.disposeIntermediateTensorInfo(f)),m}var v5={kernelName:Vl,backendName:"cpu",kernelFunc:_l};function qC(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dataFormat:l,dilations:u,dimRoundingMode:p}=a;ge([r,s],"conv2d");let d=N.convertConv2DDataFormat(l),c=N.computeConv2DInfo(r.shape,s.shape,i,u,o,p,!1,d),h=c.filterHeight,m=c.filterWidth,f=c.dilationHeight,g=c.dilationWidth,b=c.padInfo.left,y=c.padInfo.top,x=c.dataFormat==="channelsLast",w=new Ht(c.outShape,r.dtype),I=v.computeStrides(r.shape),T=v.computeStrides(s.shape),C=I[0],E=x?I[1]:I[2],A=x?I[2]:1,R=x?1:I[1],F=w.strides[0],S=x?w.strides[1]:w.strides[2],M=x?w.strides[2]:1,W=x?1:w.strides[1],U=n.data.get(r.dataId).values,G=n.data.get(s.dataId).values,q=w.values;for(let K=0;K=c.inHeight)continue;let be=le*T[0],ue=Z+ie*E;for(let xe=0;xe=c.inWidth)continue;let tt=be+Le*T[1],it=ue+Ve*A,et=tt;for(let nt=0;nt=u.inDepth)continue;let K=G*A[0],Z=F+q*E[1];for(let Q=0;Q=u.inHeight)continue;let ie=K+te*A[1],be=Z+le*E[2];for(let ue=0;ue=u.inWidth)continue;let Ve=ie+Se*A[2],tt=be+Le*u.inChannels,it=Ve;for(let et=0;etMath.cos(e)),D5={kernelName:Ii,backendName:"cpu",kernelFunc:F5},R5=rt(Si,e=>Math.cosh(e)),M5={kernelName:Si,backendName:"cpu",kernelFunc:R5};function P5(e){let{inputs:t,backend:n,attrs:a}=e,{image:r,boxes:s,boxInd:i}=t,{cropSize:o,method:l,extrapolationValue:u}=a,[p,d,c,h]=r.shape,m=s.shape[0],[f,g]=o,b=Oe([m,f,g,h],"float32"),y=n.data.get(s.dataId).values,x=n.data.get(i.dataId).values,w=n.data.get(r.dataId).values,I=v.computeStrides(r.shape),T=v.computeStrides(b.shape);for(let C=0;C=p)continue;let W=f>1?(F-A)*(d-1)/(f-1):0,U=g>1?(S-R)*(c-1)/(g-1):0;for(let G=0;G1?A*(d-1)+G*W:.5*(A+F)*(d-1);if(q<0||q>d-1){for(let K=0;K1?R*(c-1)+ee*U:.5*(R+S)*(c-1);if(ae<0||ae>c-1){for(let be=0;be1?R*(c-1)+K*U:.5*(R+S)*(c-1);if(Z<0||Z>c-1){for(let ae=0;aeb+m-y-1:(b,y)=>b+y;for(let b=0;bb+m-y-1:(b,y)=>b+y;for(let b=0;b`Only NHWC dataFormat supported on CPU for depthToSpace. Got ${i}`);let o=r.shape[0],l=r.shape[1],u=r.shape[2],p=r.shape[3],d=l*s,c=u*s,h=p/(s*s),m=n.data.get(r.dataId).values,f=new Float32Array(o*d*c*h),g=0;for(let b=0;b`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${c}'`);let h=N.computeConv2DInfo(r.shape,s.shape,i,c,o,u,!0),{filterHeight:m,filterWidth:f,dilationHeight:g,dilationWidth:b,padInfo:y}=h,x=y.left,w=y.top,I=h.outChannels/h.inChannels,T=new Ht(h.outShape,r.dtype),C=n.data.get(r.dataId).values,E=n.data.get(s.dataId).values,A=T.values;for(let R=0;R=h.inHeight)continue;let K=G*d[0],Z=F+q*p[1];for(let Q=0;Q=h.inWidth)continue;let ie=K+te*d[1],be=Z+le*h.inChannels,ue=ee,xe=ie;for(let Ie=0;Ie{let{x:a,filter:r}=e,{strides:s,pad:i,dilations:o}=n,l=t,u=l.data.get(a.dataId).values,p=a.shape.length,d=l.data.get(r.dataId).values,c=r.shape.length,{batchSize:h,inHeight:m,inWidth:f,inChannels:g,outHeight:b,outWidth:y,padInfo:x,strideHeight:w,strideWidth:I,filterHeight:T,filterWidth:C,dilationHeight:E,dilationWidth:A,outShape:R}=N.computeDilation2DInfo(a.shape,r.shape,s,i,"NHWC",o),F=v.sizeFromShape(R),S=R.length,M=v.getArrayFromDType(a.dtype,F);for(let W=0;W=0&&te=0&&ieQ&&(Q=xe)}}}let ee=v.locToIndex([W,U,q,Z],S,v.computeStrides(R));M[ee]=Q}}}return{dataId:l.write(v.toTypedArray(M,a.dtype),R,a.dtype),shape:R,dtype:a.dtype}}},e8={kernelName:$h,backendName:"cpu",kernelFunc:({inputs:e,backend:t,attrs:n})=>{let{x:a,filter:r,dy:s}=e,{strides:i,pad:o,dilations:l}=n,u=t,p=v.toNestedArray(a.shape,u.data.get(a.dataId).values),d=v.toNestedArray(r.shape,u.data.get(r.dataId).values),{batchSize:c,inHeight:h,inWidth:m,inChannels:f,outHeight:g,outWidth:b,padInfo:y,strideHeight:x,strideWidth:w,filterHeight:I,filterWidth:T,dilationHeight:C,dilationWidth:E,outShape:A}=N.computeDilation2DInfo(a.shape,r.shape,i,o,"NHWC",l);v.assert(s.rank===A.length,()=>`Error in ${$h}, dy must have the same rank as output ${A.length}, but got ${s.rank}`);let R=v.toNestedArray(A,u.data.get(s.dataId).values),F=v.makeZerosNestedTypedArray(r.shape,r.dtype);for(let S=0;S=0&&ae=0&&leK&&(K=ie,Z=ee,Q=te)}}}F[Z][Q][q]+=R[S][M][U][q]}}}return{dataId:u.write(v.toTypedArray(F,a.dtype),r.shape,r.dtype),shape:r.shape,dtype:r.dtype}}},t8={kernelName:Ah,backendName:"cpu",kernelFunc:({inputs:e,backend:t,attrs:n})=>{let{x:a,filter:r,dy:s}=e,{strides:i,pad:o,dilations:l}=n,u=t,p=v.toNestedArray(a.shape,u.data.get(a.dataId).values),d=v.toNestedArray(r.shape,u.data.get(r.dataId).values),{batchSize:c,inHeight:h,inWidth:m,inChannels:f,outHeight:g,outWidth:b,padInfo:y,strideHeight:x,strideWidth:w,filterHeight:I,filterWidth:T,dilationHeight:C,dilationWidth:E,outShape:A}=N.computeDilation2DInfo(a.shape,r.shape,i,o,"NHWC",l);v.assert(s.rank===A.length,()=>`Error in ${Ah}, dy must have the same rank as output ${A.length}, but got ${s.rank}`);let R=v.toNestedArray(A,u.data.get(s.dataId).values),F=v.makeZerosNestedTypedArray(a.shape,a.dtype);for(let S=0;S=0&&ae=0&&leK&&(K=ie,Z=ae,Q=le)}}}F[S][Z][Q][q]+=R[S][M][U][q]}}}return{dataId:u.write(v.toTypedArray(F,a.dtype),a.shape,a.dtype),shape:a.shape,dtype:a.dtype}}};function rd(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a;ge(r,"sum");let o;r.dtype==="bool"?o=cs({inputs:{x:r},backend:n,attrs:{dtype:"int32"}}):o=ur({inputs:{x:r},backend:n});let l=o.shape.length,u=v.parseAxisParam(s,o.shape),p=N.getAxesPermutation(u,l),d=u,c=o;p!=null&&(c=Wn({inputs:{x:o},backend:n,attrs:{perm:p}}),d=N.getInnerMostAxes(d.length,l)),N.assertAxesAreInnerMostDims("sum",d,c.shape.length);let[h,m]=N.computeOutAndReduceShapes(c.shape,d),f=N.upcastType(c.dtype,"int32"),g=Yh(n,h,f),b=v.sizeFromShape(m),y=n.data.get(g.dataId).values,x=n.data.get(c.dataId).values;for(let w=0;w=0&&(c=rd({inputs:{x:c},backend:n,attrs:{axis:u[f]-(i.length-h),keepDims:!1}}),m.push(c)),h--)}for(let f of m)f!==c&&n.disposeIntermediateTensorInfo(f);return c}var r8={kernelName:wm,backendName:"cpu",kernelFunc:a8};function s8(e){let{inputs:t,backend:n}=e,{dy:a,y:r}=t;ge([a,r],"eluGrad");let s=new Float32Array(v.sizeFromShape(r.shape)),i=n.data.get(r.dataId).values,o=n.data.get(a.dataId).values;for(let l=0;l=1?s[l]=o[l]:s[l]=o[l]*(u+1)}return n.makeTensorInfo(r.shape,"float32",s)}var i8={kernelName:km,backendName:"cpu",kernelFunc:s8},o8=N.ERF_P,l8=N.ERF_A1,u8=N.ERF_A2,p8=N.ERF_A3,c8=N.ERF_A4,d8=N.ERF_A5,h8=rt(jl,e=>{let t=Math.sign(e),n=Math.abs(e),a=1/(1+o8*n);return t*(1-((((d8*a+c8)*a+p8)*a+u8)*a+l8)*a*Math.exp(-n*n))}),m8={kernelName:jl,backendName:"cpu",kernelFunc:h8};function Qh(e){let{inputs:t,backend:n,attrs:a}=e,{input:r}=t,{dim:s}=a,i=r.shape.length,o=r.shape.slice(),l=s;return s<0&&(v.assert(-(i+1)<=s,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),l=i+s+1),o.splice(l,0,1),ft({inputs:{x:r},backend:n,attrs:{shape:o}})}var f8={kernelName:Kl,backendName:"cpu",kernelFunc:Qh},g8=Vt((e,t)=>e/t),U0=tn(Ci,g8),px={kernelName:Ci,backendName:"cpu",kernelFunc:U0};function XC(e,t,n){let a=e.shape,r=a[0],s=a[1],i=n.data.get(e.dataId),o=i.complexTensorInfos.real,l=i.complexTensorInfos.imag,u=[r,s],p=v.sizeFromShape(u),d=v.getTypedArrayFromDType("float32",p),c=v.getTypedArrayFromDType("float32",p);for(let g=0;g{let{image:a}=e,r=n,s=v.getTypedArrayFromDType(a.dtype,v.sizeFromShape(a.shape)),[i,o,l,u]=a.shape,p=r.data.get(a.dataId).values;for(let d=0;d=0&&yMath.floor(e/t)),N8=tn($i,T8,null,"int32"),C8={kernelName:$i,backendName:"cpu",kernelFunc:N8};function _8(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dataFormat:p,dilations:d,dimRoundingMode:c,activation:h,leakyreluAlpha:m}=a,f=qC({inputs:{x:r,filter:s},backend:n,attrs:{strides:l,pad:u,dataFormat:p,dilations:d,dimRoundingMode:c}});if(i){let g=f;if(p==="NCHW"&&i.shape.length===1&&i.shape[0]!==1){let b=ft({inputs:{x:i},backend:n,attrs:{shape:[i.shape[0],1,1]}});f=Nl({inputs:{a:f,b},backend:n}),n.disposeIntermediateTensorInfo(b)}else f=Nl({inputs:{a:f,b:i},backend:n});n.disposeIntermediateTensorInfo(g)}if(h){let g=f;if(p==="NCHW"&&h==="prelu"&&o.shape.length===1&&o.shape[0]!==1){let b=ft({inputs:{x:o},backend:n,attrs:{shape:[o.shape[0],1,1]}});f=Jh(n,f,h,b,m),n.disposeIntermediateTensorInfo(b)}else f=Jh(n,f,h,o,m);n.disposeIntermediateTensorInfo(g)}return f}var E8={kernelName:ei,backendName:"cpu",kernelFunc:_8};function A8(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dataFormat:p,dilations:d,dimRoundingMode:c,activation:h,leakyreluAlpha:m}=a,f=KC({inputs:{x:r,filter:s},backend:n,attrs:{strides:l,pad:u,dataFormat:p,dilations:d,dimRoundingMode:c}});if(i){let g=f;f=Nl({inputs:{a:f,b:i},backend:n}),n.disposeIntermediateTensorInfo(g)}if(h){let g=f;f=Jh(n,f,h,o,m),n.disposeIntermediateTensorInfo(g)}return f}var $8={kernelName:ti,backendName:"cpu",kernelFunc:A8};function F8(e){let{inputs:t,backend:n}=e,{params:a,indices:r}=t,s=v.sizeFromShape(a.shape),i=r.shape,o=i[i.length-1],[l,u,p,d]=N.prepareAndValidate(a,r);if(u===0)return n.makeTensorInfo(l,a.dtype,[]);let c=n.data.get(r.dataId).values,h=n.bufferSync(a),m=dC(c,h,a.dtype,u,o,p,d,a.shape,s);return n.makeTensorInfo(l,a.dtype,m.values)}var D8={kernelName:Jl,backendName:"cpu",kernelFunc:F8};function R8(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,indices:s}=t,{axis:i,batchDims:o}=a;ge([r,s],"gatherV2");let l=v.parseAxisParam(i,r.shape)[0],u=n.data.get(s.dataId).values,p=r.shape[l];for(let w=0;w=0,()=>`GatherV2: the index value ${I} is not in [0, ${p-1}]`)}let d=o;o==null&&(d=0);let c=v.sizeFromShape(s.shape),h=N.segment_util.collectGatherOpShapeInfo(r,s,l,d),m=ft({inputs:{x:r},backend:n,attrs:{shape:[h.batchSize,h.outerSize,h.dimSize,h.sliceSize]}}),f=ft({inputs:{x:s},backend:n,attrs:{shape:[h.batchSize,c/h.batchSize]}}),g=[h.batchSize,h.outerSize,c/h.batchSize,h.sliceSize],b=n.bufferSync(f),y=n.bufferSync(m),x=hC(y,b,g);return n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(f),n.makeTensorInfo(h.outputShape,x.dtype,x.values)}var M8={kernelName:Zl,backendName:"cpu",kernelFunc:R8};function P8(e){let{inputs:t,backend:n}=e,{input:a}=t,r=v.sizeFromShape(a.shape),s=a.shape[a.shape.length-1],i=r/s,o=ft({inputs:{x:a},backend:n,attrs:{shape:[i,s]}}),l=XC(o,!0,n),u=ft({inputs:{x:l},backend:n,attrs:{shape:a.shape}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(l),u}var O8={kernelName:Sm,backendName:"cpu",kernelFunc:P8},L8=rt(eu,e=>Number.isFinite(e)?1:0,"bool"),z8={kernelName:eu,backendName:"cpu",kernelFunc:L8},B8=rt(tu,e=>Math.abs(e)===1/0?1:0,"bool"),W8={kernelName:tu,backendName:"cpu",kernelFunc:B8},V8=rt(nu,e=>Number.isNaN(e)?1:0,"bool"),U8={kernelName:nu,backendName:"cpu",kernelFunc:V8};function G8(e){let{backend:t,attrs:n}=e,{start:a,stop:r,num:s}=n,i=yC(a,r,s);return t.makeTensorInfo([i.length],"float32",i)}var H8={kernelName:Nm,backendName:"cpu",kernelFunc:G8},j8=rt(su,e=>Math.log1p(e)),q8={kernelName:su,backendName:"cpu",kernelFunc:j8},K8=Vt((e,t)=>e&&t),X8=tn(iu,K8,null,"bool"),Y8={kernelName:iu,backendName:"cpu",kernelFunc:X8},Z8=rt(ou,e=>e?0:1,"bool"),J8={kernelName:ou,backendName:"cpu",kernelFunc:Z8},Q8=Vt((e,t)=>e||t),eK=tn(lu,Q8,null,"bool"),tK={kernelName:lu,backendName:"cpu",kernelFunc:eK};function nK(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{depthRadius:s,bias:i,alpha:o,beta:l}=a;ge(r,"LRN");let u=r.shape[3],p=u-1,d=n.data.get(r.dataId).values,c=v.sizeFromShape(r.shape),h=new Float32Array(c);function m(f){let g=f%u,b=f-g+Math.max(0,g-s),y=f-g+Math.min(g+s,p),x=0;for(;b<=y;b++){let w=d[b];x+=w*w}return x}for(let f=0;f`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${u}'`);let p=N.computePool2DInfo(r.shape,s,i,u,o,l),d;if(p.filterWidth===1&&p.filterHeight===1&&v.arraysEqual(p.inShape,p.outShape))d=ur({inputs:{x:r},backend:n});else{let c=n.data.get(r.dataId).values,h=v.computeStrides(r.shape),m=V0(c,r.shape,r.dtype,h,p,"max");d=n.makeTensorInfo(p.outShape,r.dtype,m.values)}return d}var lK={kernelName:zi,backendName:"cpu",kernelFunc:oK};function uK(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l,dataFormat:u}=a;ge(r,"maxPool3d");let p=N.computePool3DInfo(r.shape,s,i,1,o,l,u),d=n.data.get(r.dataId).values,c=jC(d,r.shape,r.dtype,v.computeStrides(r.shape),p,"max");return n.makeTensorInfo(c.shape,"float32",c.values)}var pK={kernelName:gc,backendName:"cpu",kernelFunc:uK};function cK(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,{filterSize:i,strides:o,pad:l,dimRoundingMode:u}=a;ge([r,s],"maxPool3DGrad");let p=N.computePool3DInfo(s.shape,i,o,1,l,u),d=n.bufferSync(s),c=Jq(d,p),h=p.strideDepth,m=p.strideHeight,f=p.strideWidth,g=p.dilationDepth,b=p.dilationHeight,y=p.dilationWidth,x=p.effectiveFilterDepth,w=p.effectiveFilterHeight,I=p.effectiveFilterWidth,T=x-1-p.padInfo.front,C=I-1-p.padInfo.left,E=w-1-p.padInfo.top,A=Oe(s.shape,"float32"),R=n.bufferSync(r);for(let F=0;F=p.outDepth||Math.floor(ee)!==ee))for(let ae=0;ae=p.outHeight||Math.floor(te)!==te))for(let le=0;le=p.outWidth||Math.floor(ie)!==ie)continue;let be=x*w*I-1-c.get(F,ee,te,ie,S),ue=Q*w*I+ae*I+le,xe=be===ue?1:0;xe!==0&&(Z+=R.get(F,ee,te,ie,S)*xe)}}}A.set(Z,F,M,W,U,S)}return n.makeTensorInfo(A.shape,A.dtype,A.values)}var dK={kernelName:Em,backendName:"cpu",kernelFunc:cK};function hK(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s,output:i}=t,o=s;ge([s,i],"maxPoolGrad");let{filterSize:l,strides:u,pad:p,dimRoundingMode:d}=a,c=N.computePool2DInfo(o.shape,l,u,1,p,d),h=n.data.get(o.dataId).values,m=Oe(c.outShape,o.dtype,HC(h,o.shape,o.dtype,c).values),f=c.strideHeight,g=c.strideWidth,b=c.dilationHeight,y=c.dilationWidth,x=c.effectiveFilterHeight,w=c.effectiveFilterWidth,I=w-1-c.padInfo.left,T=x-1-c.padInfo.top,C=Oe(o.shape,"float32"),E=n.data.get(r.dataId).values,A=Oe(r.shape,"float32",E);for(let R=0;R=c.outHeight||Math.floor(K)!==K))for(let Z=0;Z=c.outWidth||Math.floor(Q)!==Q)continue;let ee=x*w-1-m.get(R,K,Q,F),ae=q*w+Z,te=ee===ae?1:0;te!==0&&(G+=A.get(R,K,Q,F)*te)}}C.set(G,R,S,M,F)}return n.makeTensorInfo(C.shape,C.dtype,C.values)}var mK={kernelName:_m,backendName:"cpu",kernelFunc:hK};function fK(e,t,n,a,r){let s=v.computeStrides(t),i=V0(e,t,n,s,r,"max"),o=HC(e,t,n,r,!0,a);return[i.values,o.values]}var gK={kernelName:Am,backendName:"cpu",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:a}=e,{filterSize:r,strides:s,pad:i,includeBatchInIndex:o}=t,l=n;ge(a,"MaxPoolWithArgmax");let u=l.data.get(a.dataId).values,p=N.computePool2DInfo(a.shape,r,s,[1,1],i),[d,c]=fK(u,a.shape,a.dtype,o,p),h=l.write(d,p.outShape,a.dtype),m=l.write(c,p.outShape,a.dtype);return[{dataId:h,shape:p.outShape,dtype:a.dtype},{dataId:m,shape:p.outShape,dtype:"int32"}]}};function bK(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=v.parseAxisParam(s,r.shape),l=N.computeOutAndReduceShapes(r.shape,o)[1],u=v.sizeFromShape(l),p=[],d=n.makeTensorInfo([],"float32",new Float32Array([u]));p.push(d);let c=cs({inputs:{x:r},backend:n,attrs:{dtype:"float32"}});p.push(c);let h=U0({inputs:{a:c,b:d},backend:n});p.push(h);let m=rd({inputs:{x:h},backend:n,attrs:{axis:s,keepDims:i}});return p.forEach(f=>n.disposeIntermediateTensorInfo(f)),m}var yK={kernelName:Bi,backendName:"cpu",kernelFunc:bK};function xK(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a;ge(r,"min");let o=v.parseAxisParam(s,r.shape),l=o,u=N.getAxesPermutation(l,r.shape.length),p=r;u!=null&&(p=Wn({inputs:{x:r},backend:n,attrs:{perm:u}}),l=N.getInnerMostAxes(l.length,r.shape.length)),N.assertAxesAreInnerMostDims("min",l,p.shape.length);let[d,c]=N.computeOutAndReduceShapes(p.shape,l),h=v.sizeFromShape(c),m=v.makeZerosTypedArray(v.sizeFromShape(d),p.dtype),f=n.data.get(p.dataId).values;for(let b=0;by[0]+r.shape[x]+y[1]),l=s.map(y=>y[0]),u=s.map((y,x)=>y[0]+r.shape[x]),p=i==="reflect"?0:1,d=n.data.get(r.dataId).values,c=r.shape.length,h=v.computeStrides(r.shape),m=v.sizeFromShape(o),f=o.length,g=v.computeStrides(o),b=v.getTypedArrayFromDType(r.dtype,m);for(let y=0;y=u[I]&&(x[I]=(u[I]-1)*2-x[I]+p);x=x.map((I,T)=>I-l[T]);let w=v.locToIndex(x,c,h);b[y]=d[w]}return{dataId:n.write(b,o,r.dtype),shape:o,dtype:r.dtype}}var kK={kernelName:Ui,backendName:"cpu",kernelFunc:wK},IK=Vt((e,t)=>{let n=e%t;return e<0&&t<0||e>=0&&t>=0?n:(n+t)%t}),SK=tn(uu,IK),TK={kernelName:uu,backendName:"cpu",kernelFunc:SK},NK=hs(sm());function ZC(e){let{inputs:t,backend:n,attrs:a}=e,{logits:r}=t,{dim:s}=a,i=r.shape.length,o=s;if(o===-1&&(o=i-1),o!==i-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${i} and dim was ${o}`);let l=v.parseAxisParam([o],r.shape),u=YC({inputs:{x:r},backend:n,attrs:{reductionIndices:l,keepDims:!1}}),p=N.expandShapeToKeepDim(u.shape,l),d=ft({inputs:{x:u},backend:n,attrs:{shape:p}}),c=W0({inputs:{a:r,b:d},backend:n}),h=uC({inputs:{x:c},backend:n}),m=rd({inputs:{x:h},backend:n,attrs:{axis:l,keepDims:!1}}),f=ft({inputs:{x:m},backend:n,attrs:{shape:p}}),g=U0({inputs:{a:h,b:f},backend:n});return n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(f),g}var CK={kernelName:oo,backendName:"cpu",kernelFunc:ZC};function _K(e){let{inputs:t,backend:n,attrs:a}=e,{logits:r}=t,{numSamples:s,seed:i,normalized:o}=a;ge(r,"multinomial");let l=o?r:ZC({inputs:{logits:r},backend:n,attrs:{dim:-1}}),u=l.shape[0],p=l.shape[1],d=n.data.get(l.dataId).values,c=[u,s],h=v.makeZerosTypedArray(v.sizeFromShape(c),"int32");for(let m=0;m=0&&d[c]{v.assertShapesMatch(s,p.shape,"All tensors passed to stack must have matching shapes"),v.assert(i===p.dtype,()=>"All tensors passed to stack must have matching dtypes")});let o=[],l=t.map(p=>{let d=Qh({inputs:{input:p},backend:n,attrs:{dim:r}});return o.push(d),d}),u=_l({inputs:l,backend:n,attrs:{axis:r}});return o.forEach(p=>n.disposeIntermediateTensorInfo(p)),u}var UK={kernelName:gu,backendName:"cpu",kernelFunc:QC};function GK(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{paddings:s,constantValue:i}=a;ge(r,"pad");let o=s.map((b,y)=>b[0]+r.shape[y]+b[1]),l=s.map(b=>b[0]),u=n.data.get(r.dataId).values,p=v.sizeFromShape(r.shape),d=r.shape.length,c=v.computeStrides(r.shape),h=v.sizeFromShape(o),m=o.length,f=v.computeStrides(o),g=v.getTypedArrayFromDType(r.dtype,h);i!==0&&g.fill(i);for(let b=0;bw+l[I]),x=v.locToIndex(y,m,f);g[x]=u[b]}return{dataId:n.write(g,o,r.dtype),shape:o,dtype:r.dtype}}var e_={kernelName:ji,backendName:"cpu",kernelFunc:GK},HK=Vt((e,t)=>Math.pow(e,t)),jK=tn(qi,HK),qK={kernelName:qi,backendName:"cpu",kernelFunc:jK};function KK(e){let{inputs:t,backend:n,attrs:a}=e,{paramsNestedSplits:r,paramsDenseValues:s,indices:i}=t,{outputRaggedRank:o}=a,l=r.map(b=>n.data.get(b.dataId).values),u=r.map(b=>b.shape),p=n.data.get(s.dataId).values,d=n.data.get(i.dataId).values,[c,h,m]=NC(l,u,p,s.shape,s.dtype,d,i.shape,o),f=c.map(b=>n.makeTensorInfo([b.length],"int32",b)),g=n.makeTensorInfo(m,s.dtype,h);return f.concat([g])}var XK={kernelName:Fm,backendName:"cpu",kernelFunc:KK};function YK(e){let{inputs:t,backend:n,attrs:a}=e,{shape:r,values:s,defaultValue:i,rowPartitionTensors:o}=t,{rowPartitionTypes:l}=a,u=n.data.get(r.dataId).values,p=n.data.get(s.dataId).values,d=n.data.get(i.dataId).values,c=o.map(g=>n.data.get(g.dataId).values),h=o.map(g=>g.shape),[m,f]=CC(u,r.shape,p,s.shape,s.dtype,d,i.shape,c,h,l);return n.makeTensorInfo(m,s.dtype,f)}var ZK={kernelName:Dm,backendName:"cpu",kernelFunc:YK};function JK(e){let{backend:t,attrs:n}=e,{start:a,stop:r,dtype:s,step:i}=n,o=P0(a,r,i,s);return t.makeTensorInfo([o.length],s,o)}var QK={kernelName:bc,backendName:"cpu",kernelFunc:JK},eX=rt(bu,e=>1/e),tX={kernelName:bu,backendName:"cpu",kernelFunc:eX};function nX(e){let{inputs:t,backend:n,attrs:a}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=a;ge(r,"resizeBilinear");let l=v.computeStrides(r.shape),[u,p]=o,[d,c,h,m]=r.shape,f=n.data.get(r.dataId).values,g=new Float32Array(v.sizeFromShape([d,u,p,m])),b=[s&&u>1?c-1:c,s&&p>1?h-1:h],y=[s&&u>1?u-1:u,s&&p>1?p-1:p],x=0,w=b[0]/y[0],I=b[1]/y[1];for(let T=0;T1?u-1:u,i&&h>1?p-1:p],g=[i&&c>1?c-1:c,i&&h>1?h-1:h],b=f[0]/g[0],y=f[1]/g[1],x=n.data.get(s.dataId).values,w=0;for(let I=0;I1?c-1:c,s&&p>1?h-1:h],y=[s&&u>1?u-1:u,s&&p>1?p-1:p],x=b[0]/y[0],w=b[1]/y[1],I=0;for(let T=0;T1?p-1:p,i&&m>1?d-1:d],y=[i&&h>1?h-1:h,i&&m>1?m-1:m],x=b[0]/y[0],w=b[1]/y[1],I=1/x,T=1/w,C=Math.ceil(I)*2+2,E=Math.ceil(T)*2+2;for(let A=0;A=h)continue;let te=R+ae*l[1],le=ae*x,ie=Math.min(p-1,i?Math.round(le):Math.floor(le));if(F===ie)for(let be=0;be=m)continue;let xe=te+ue*l[2],Ie=ue*w,Se=Math.min(d-1,i?Math.round(Ie):Math.floor(Ie));U===Se&&(Q+=g[xe+Z])}}f[G+Z]=Q}}}}return n.makeTensorInfo(r.shape,r.dtype,f)}var uX={kernelName:Mm,backendName:"cpu",kernelFunc:lX};function pX(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dims:s}=a;ge(r,"reverse");let i=r.shape.length,o=v.parseAxisParam(s,r.shape);if(i===0)return ur({inputs:{x:r},backend:n});let l=new Ht(r.shape,r.dtype),u=n.bufferSync(r);for(let p=0;pc[h]=r.shape[h]-1-c[h]),l.set(u.get(...c),...d)}return n.makeTensorInfo(l.shape,l.dtype,l.values)}var cX={kernelName:eo,backendName:"cpu",kernelFunc:pX},dX={kernelName:Ru,backendName:"cpu",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{image:a}=e,{radians:r,fillValue:s,center:i}=t,o=n,l=v.getTypedArrayFromDType(a.dtype,v.sizeFromShape(a.shape)),[u,p,d,c]=a.shape,[h,m]=N.getImageCenter(i,p,d),f=255,g=Math.sin(r),b=Math.cos(r),y=o.data.get(a.dataId).values;for(let x=0;x=0&&M=0&&W{let t=Math.floor(e);return e-t<.5?Math.floor(e):e-t>.5?Math.ceil(e):t%2===0?t:t+1}),mX={kernelName:to,backendName:"cpu",kernelFunc:hX};function fX(e){let{inputs:t,backend:n,attrs:a}=e,{indices:r,updates:s}=t,{shape:i}=a,{sliceRank:o,numUpdates:l,sliceSize:u,strides:p,outputSize:d}=N.calculateShapes(s,r,i),c=!0,h=n.bufferSync(r),m=n.bufferSync(s),f=ol(h,m,i,d,u,l,o,p,0,c);return n.makeTensorInfo(i,f.dtype,f.values)}var gX={kernelName:xu,backendName:"cpu",kernelFunc:fX};function bX(e,t){let n=0,a=e.length,r=0;for(;n1||r.shape.length===1?1:v.sizeFromShape(r.shape.slice(1));for(let m=0;me>=0?TX*e:SX*(Math.exp(e)-1)),CX={kernelName:wu,backendName:"cpu",kernelFunc:NX},_X=rt(Su,e=>e<0?-1:e>0?1:0),EX={kernelName:Su,backendName:"cpu",kernelFunc:_X},AX=rt(ao,e=>Math.sin(e)),$X={kernelName:ao,backendName:"cpu",kernelFunc:AX},FX=rt(Iu,e=>Math.sinh(e)),DX={kernelName:Iu,backendName:"cpu",kernelFunc:FX},RX=11920928955078125e-23,rI=Math.log(RX)+2,MX=rt(Tu,e=>{let t=e>-rI,n=e0&&v.isString(n[0])){let r=n.map(s=>v.encodeString(s));a=this.write(r,e,t)}else a=this.write(n,e,t);return{dataId:a,shape:e,dtype:t}}refCount(e){return this.data.has(e)?this.data.get(e).refCount:0}incRef(e){let t=this.data.get(e);t.refCount++}decRef(e){if(this.data.has(e)){let t=this.data.get(e);t.refCount--}}move(e,t,n,a,r){this.data.set(e,{values:t,dtype:a,refCount:r})}numDataIds(){return this.data.numDataIds()}async read(e){return this.readSync(e)}readSync(e){let{dtype:t,complexTensorInfos:n}=this.data.get(e);if(t==="complex64"){let a=this.readSync(n.real.dataId),r=this.readSync(n.imag.dataId);return N.mergeRealAndImagArrays(a,r)}return this.data.get(e).values}bufferSync(e){let t=this.readSync(e.dataId);if(e.dtype==="string")try{let n=t.map(a=>v.decodeString(a));return Oe(e.shape,e.dtype,n)}catch(n){throw new Error("Failed to decode encoded string bytes into utf-8")}return Oe(e.shape,e.dtype,t)}makeOutput(e,t,n){return _a().makeTensorFromTensorInfo(this.makeTensorInfo(t,n,e),this)}disposeData(e,t=!1){if(this.data.has(e)){if(this.data.get(e).refCount--,!t&&this.data.get(e).refCount>0)return!1;let{complexTensorInfos:n}=this.data.get(e);n!=null&&(this.disposeData(n.real.dataId,!0),this.disposeData(n.imag.dataId,!0)),this.data.delete(e)}return!0}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}async time(e){let t=v.now();return e(),{kernelMs:v.now()-t}}memory(){return{unreliable:!0,reasons:["The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less."]}}where(e){ge([e],"where");let t=this.readSync(e.dataId);return Ij(e.shape,t)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}};R0.nextDataId=0;var oC={};Ae(oC,{addImpl:()=>pC,bincountImpl:()=>P0,bincountReduceImpl:()=>cC,castImpl:()=>uC,ceilImpl:()=>dC,concatImpl:()=>O0,equalImpl:()=>hC,expImpl:()=>fC,expm1Impl:()=>bC,floorImpl:()=>yC,gatherNdImpl:()=>xC,gatherV2Impl:()=>vC,greaterEqualImpl:()=>kC,greaterImpl:()=>wC,lessEqualImpl:()=>SC,lessImpl:()=>IC,linSpaceImpl:()=>TC,logImpl:()=>NC,maxImpl:()=>CC,maximumImpl:()=>_C,minimumImpl:()=>EC,multiplyImpl:()=>L0,negImpl:()=>AC,notEqualImpl:()=>$C,prodImpl:()=>FC,raggedGatherImpl:()=>DC,raggedRangeImpl:()=>RC,raggedTensorToTensorImpl:()=>MC,rangeImpl:()=>W0,rsqrtImpl:()=>PC,scatterImpl:()=>ll,sigmoidImpl:()=>bq,simpleAbsImpl:()=>lC,sliceImpl:()=>Jh,sparseFillEmptyRowsImpl:()=>LC,sparseReshapeImpl:()=>zC,sparseSegmentReductionImpl:()=>B0,sqrtImpl:()=>vq,squaredDifferenceImpl:()=>WC,stridedSliceImpl:()=>BC,stringNGramsImpl:()=>V0,stringSplitImpl:()=>U0,stringToHashBucketFastImpl:()=>G0,subImpl:()=>VC,tileImpl:()=>UC,topKImpl:()=>HC,transposeImpl:()=>z0,uniqueImpl:()=>jC});function lC(e){let t=new Float32Array(e.length);for(let n=0;n{let{x:t}=e.inputs,n=e.backend;ge(t,"abs");let a=new Float32Array(v.sizeFromShape(t.shape)),r=n.data.get(t.dataId).values;return a=lC(r),n.makeOutput(a,t.shape,t.dtype)},Tj={kernelName:Dl,backendName:"cpu",kernelFunc:Sj};function Vt(e){return(t,n,a,r,s)=>{let i=N.assertAndGetBroadcastShape(t,n),o=i.length,l=v.computeStrides(i),u=v.sizeFromShape(i),p=v.getTypedArrayFromDType(s,u),d=t.length,c=n.length,h=v.computeStrides(t),m=v.computeStrides(n),f=N.getBroadcastDims(t,i),g=N.getBroadcastDims(n,i);if(f.length+g.length===0)for(let b=0;bx[C]=0);let w=v.locToIndex(x,d,h),I=y.slice(-c);g.forEach(C=>I[C]=0);let T=v.locToIndex(I,c,m);p[b]=e(a[w],r[T])}return[p,i]}}function Zn(e){let{inputs:t,backend:n}=e,{real:a,imag:r}=t,s=n.data.get(a.dataId).values,i=n.data.get(r.dataId).values,o=n.makeTensorInfo(a.shape,"complex64"),l=n.data.get(o.dataId);return l.complexTensorInfos={real:n.makeTensorInfo(a.shape,"float32",s),imag:n.makeTensorInfo(r.shape,"float32",i)},o}var Nj={kernelName:mm,backendName:"cpu",kernelFunc:Zn};function Zh(e,t,n="float32"){if(n==="complex64"){let r=Zh(e,t,"float32"),s=Zh(e,t,"float32");return Zn({inputs:{real:r,imag:s},backend:e})}let a=v.makeZerosTypedArray(v.sizeFromShape(t),n);return e.makeTensorInfo(t,n,a)}function pr(e){let{inputs:t,backend:n}=e,{x:a}=t;return n.incRef(a.dataId),{dataId:a.dataId,shape:a.shape,dtype:a.dtype}}var Cj={kernelName:Ri,backendName:"cpu",kernelFunc:pr};function ui(e){let{inputs:t,backend:n}=e,{input:a}=t,r=n.data.get(a.dataId).complexTensorInfos.real,s=n.data.get(r.dataId).values;return n.makeTensorInfo(r.shape,r.dtype,s)}var _j={kernelName:Pm,backendName:"cpu",kernelFunc:ui};function uC(e,t,n,a){if(a==="int32"){let r=Int32Array.from(e);return[t,"int32",r]}if(a==="bool"){let r=v.toTypedArray([0],n),[s,i]=Vt((o,l)=>o!==l?1:0)(t,[],e,r,"bool");return[i,"bool",s]}throw new Error(`Error in Cast: failed to cast ${n} to ${a}`)}function ds(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dtype:s}=a;if(s==="complex64"){if(r.dtype==="complex64")return pr({inputs:{x:r},backend:n});let p=Zh(n,r.shape,r.dtype),d=ds({inputs:{x:r},backend:n,attrs:{dtype:"float32"}}),c=Zn({inputs:{real:d,imag:p},backend:n});return n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(d),c}if(r.dtype==="complex64"){let p=ui({inputs:{input:r},backend:n}),d=ds({inputs:{x:p},backend:n,attrs:{dtype:s}});return n.disposeIntermediateTensorInfo(p),d}if(!v.hasEncodingLoss(r.dtype,s)){let p=pr({inputs:{x:r},backend:n});return{dataId:p.dataId,shape:p.shape,dtype:s}}let i=n.data.get(r.dataId).values,[o,l,u]=uC(i,r.shape,r.dtype,s);return n.makeTensorInfo(o,l,u)}var Ej={kernelName:xi,backendName:"cpu",kernelFunc:ds};function nn(e,t,n,a){return n==null?({inputs:r,backend:s})=>{let{a:i,b:o}=r,l=s;ge([i,o],e);let u=l.data.get(i.dataId).values,p=l.data.get(o.dataId).values,d=i.dtype==="string"?N.fromUint8ToStringArray(u):u,c=i.dtype==="string"?N.fromUint8ToStringArray(p):p,h=a||i.dtype,[m,f]=t(i.shape,o.shape,d,c,h);return l.makeTensorInfo(f,h,m)}:({inputs:r,backend:s})=>{let{a:i,b:o}=r,l=s;if(i.dtype==="complex64"||o.dtype==="complex64"){let u=ds({inputs:{x:i},backend:l,attrs:{dtype:"complex64"}}),p=l.data.get(u.dataId),d=p.complexTensorInfos.real,c=p.complexTensorInfos.imag,h=l.data.get(d.dataId).values,m=l.data.get(c.dataId).values,f=ds({inputs:{x:o},backend:l,attrs:{dtype:"complex64"}}),g=l.data.get(f.dataId),b=g.complexTensorInfos.real,y=g.complexTensorInfos.imag,x=l.data.get(b.dataId).values,w=l.data.get(y.dataId).values,[I,T,C]=n(i.shape,o.shape,h,m,x,w),E=l.makeTensorInfo(C,"float32",I),A=l.makeTensorInfo(C,"float32",T),R=Zn({inputs:{real:E,imag:A},backend:l});return l.disposeIntermediateTensorInfo(u),l.disposeIntermediateTensorInfo(f),l.disposeIntermediateTensorInfo(E),l.disposeIntermediateTensorInfo(A),R}else{let u=l.data.get(i.dataId).values,p=l.data.get(o.dataId).values,d=a||i.dtype,[c,h]=t(i.shape,o.shape,u,p,d);return l.makeTensorInfo(h,d,c)}}}function M0(e){return(t,n,a,r,s,i)=>{let o=N.assertAndGetBroadcastShape(t,n),l=v.sizeFromShape(o),u=o.length,p=v.computeStrides(o),d=v.getTypedArrayFromDType("float32",l),c=v.getTypedArrayFromDType("float32",l),h=N.getBroadcastDims(t,o),m=N.getBroadcastDims(n,o),f=N.mergeRealAndImagArrays(a,r),g=N.mergeRealAndImagArrays(s,i),b=t.length,y=v.computeStrides(t),x=n.length,w=v.computeStrides(n);if(h.length+m.length===0)for(let I=0;IC[S]=0);let E=v.locToIndex(C,b,y),A=T.slice(-x);m.forEach(S=>A[S]=0);let R=v.locToIndex(A,x,w),F=e(f[E*2],f[E*2+1],g[R*2],g[R*2+1]);d[I]=F.real,c[I]=F.imag}return[d,c,o]}}var pC=Vt((e,t)=>e+t),Aj=M0((e,t,n,a)=>({real:e+n,imag:t+a})),_l=nn(gs,pC,Aj),$j={kernelName:gs,backendName:"cpu",kernelFunc:_l};function P0(e,t,n,a,r){let s=v.sizeFromShape(a),i=v.makeZerosTypedArray(r,n);for(let o=0;o=r||(s>0?i[l]+=t[o]:i[l]+=1)}return i}function cC(e,t,n,a=!1){let r=e.shape[0],s=e.shape[1],i=Oe([r,n],t.dtype);for(let o=0;o=n||(a?i.set(1,o,u):t.size>0?i.set(i.get(o,u)+t.get(o,l),o,u):i.set(i.get(o,u)+1,o,u))}return i}function Cs(e){return(t,n,a)=>{let r=v.getTypedArrayFromDType(n,t.length);for(let s=0;s{let{x:i}=a;if(ge(i,e),i.dtype==="string"||n==="string")throw new Error("unaryKernelFunc does not support string input/output");let o=s,l=o.data.get(i.dataId).values,u=v.sizeFromShape(i.shape),p=n||i.dtype,d=v.getArrayFromDType(p,u);for(let c=0;c{let{x:i}=a;if(ge(i,e),i.dtype==="string"||n==="string")throw new Error("unaryKernelFunc does not support string input/output");let o=s,l=o.data.get(i.dataId).values,u=n||i.dtype,p=t(l,u,r);return o.makeTensorInfo(i.shape,u,p)}}var dC=Cs(e=>Math.ceil(e)),Fj=Ku(vi,dC),Dj={kernelName:vi,backendName:"cpu",kernelFunc:Fj};function O0(e,t,n,a){let r=v.getArrayFromDType(n,v.sizeFromShape(t));if(a&&n!=="string"){let s=0;e.forEach(i=>{let o=v.sizeFromShape(i.shape);r.set(i.vals,s),s+=o})}else{let s=0;e.forEach(i=>{let o=n==="string"?N.fromUint8ToStringArray(i.vals):i.vals,l=0;for(let u=0;ue===t?1:0),mC=nn(Xl,hC,null,"bool"),Rj={kernelName:Xl,backendName:"cpu",kernelFunc:mC},fC=Cs(e=>Math.exp(e)),gC=Ku(Ei,fC,"float32"),Mj={kernelName:Ei,backendName:"cpu",kernelFunc:gC},bC=Cs(e=>Math.expm1(e)),Pj=Ku(Zl,bC),Oj={kernelName:Zl,backendName:"cpu",kernelFunc:Pj},yC=Cs(e=>Math.floor(e)),Lj=Ku(Ai,yC),zj={kernelName:Ai,backendName:"cpu",kernelFunc:Lj};function xC(e,t,n,a,r,s,i,o,l){let u=Oe([a,s],n);for(let p=0;p=l/s)throw new Error(`Invalid indices: ${d} does not index into ${o}`);for(let h=0;he>t?1:0),Wj=nn(tu,wC,null,"bool"),Bj={kernelName:tu,backendName:"cpu",kernelFunc:Wj},kC=Vt((e,t)=>e>=t?1:0),Vj=nn(Di,kC,null,"bool"),Uj={kernelName:Di,backendName:"cpu",kernelFunc:Vj},IC=Vt((e,t)=>ee<=t?1:0),jj=nn(iu,SC,null,"bool"),qj={kernelName:iu,backendName:"cpu",kernelFunc:jj};function TC(e,t,n){let a=(t-e)/(n-1),r=v.makeZerosTypedArray(n,"float32");r[0]=e;for(let s=1;sMath.log(e)),Kj=Ku(Pi,NC),Xj={kernelName:Pi,backendName:"cpu",kernelFunc:Kj};function CC(e,t,n,a){let r=v.getTypedArrayFromDType(a,v.sizeFromShape(n));for(let s=0;so)&&(o=u)}r[s]=o}return r}var _C=Vt((e,t)=>Math.max(e,t)),Yj=nn(Li,_C),Zj={kernelName:Li,backendName:"cpu",kernelFunc:Yj},EC=Vt((e,t)=>Math.min(e,t)),Jj=nn(Vi,EC),Qj={kernelName:Vi,backendName:"cpu",kernelFunc:Jj},L0=Vt((e,t)=>e*t),eq=M0((e,t,n,a)=>({real:e*n-t*a,imag:e*a+t*n})),qf=nn(Gi,L0,eq),tq={kernelName:Gi,backendName:"cpu",kernelFunc:qf};function AC(e,t,n){let a=v.createScalarValue(-1,n);return L0([],t,a,e,n)}function nq(e){let{inputs:t,backend:n}=e,{x:a}=t;ge(a,"neg");let r=n.data.get(a.dataId).values,[s,i]=AC(r,a.shape,a.dtype);return n.makeTensorInfo(i,a.dtype,s)}var aq={kernelName:du,backendName:"cpu",kernelFunc:nq},$C=Vt((e,t)=>e!==t?1:0),rq=nn(hu,$C,null,"bool"),sq={kernelName:hu,backendName:"cpu",kernelFunc:rq};function z0(e,t,n,a,r){let s=t.length,i=v.sizeFromShape(t),o=v.computeStrides(t),l=v.computeStrides(r),u=v.getTypedArrayFromDType(n,v.sizeFromShape(r));for(let p=0;pn.disposeIntermediateTensorInfo(y)),n.makeTensorInfo(b,g,m)}var lq={kernelName:Xi,backendName:"cpu",kernelFunc:oq};function uq(e,t,n){e.forEach((a,r)=>{if(a<0||a>=n){let s=v.indexToLoc(r,t.length,v.computeStrides(t)).join(",");throw new Error(`indices[${s}] = ${a} is not in [0, ${n})`)}})}function pq(e,t){for(let n=0;nr)throw new Error("Ragged splits must not point past values");for(let s=1;sa[s])throw new Error("Ragged splits must be sorted in ascending order")}}function cq(e,t,n,a){let r=[],s=0,i=t.length-1+n.length,o=new Array(i).fill(null).map(()=>[0]);pq(n,a);let l=1;for(let u=0;u=0){let f=o[m],g=f[f.length-1]-h[p];for(let b=p;br[i]=s)}return t}function iI(e,t){let n=e.slice(0,t);for(;n.length1)throw new Error("starts must be a scalar or vector");if(r.length>1)throw new Error("limits must be a scalar or vector");if(i.length>1)throw new Error("deltas must be a scalar or vector");let o=t.length===0,l=r.length===0,u=i.length===0,p=[];o||p.push(t[0]),l||p.push(r[0]),u||p.push(i[0]);for(let g=1;g0&&yb)w=0;else if(w=Math.ceil(Math.abs((y-b)/x)),w>oI)throw new Error(`Requires ((limit - start) / delta) <= ${oI}`);c[g+1]=c[g]+w}let h=c[d],m=v.getArrayFromDType(n,h),f=0;for(let g=0;gn&&(n=r)}return n}static getMaxWidthValueRowID(e){let t=e.length;if(t===0)return 0;let n=0,a=e[0],r=0;for(let s=1;s"Final length of result must be equal to firstDimension."),r}calculateOutputIndexRowSplit(e,t,n,a){let r=e.length,s=[];for(let i=0;i0&&s.length!==e[r-1])throw new Error("Invalid row split size.");return s}calculateOutputIndexValueRowID(e,t,n,a){let r=e.length,s=[];if(r===0)return[];let i=0,o=e[0];if(o>=t.length)throw new Error(`Got currentValueRowId=${o}, which is not less than ${t.length}`);let l=t[o];s.push(l);for(let u=1;u=0&&(++i,i=t.length)throw new Error(`Got nextValueRowId=${p} which is not less than ${t.length}`);l=t[p]}s.push(l)}if(s.length!==e.length)throw new Error("Invalid row ids.");return s}calculateOutputIndex(e,t,n,a){let r=this.getRowPartitionTensor(e),s=this.getRowPartitionTypeByDimension(e);switch(s){case Ta.VALUE_ROWIDS:return this.calculateOutputIndexValueRowID(r,t,n,a);case Ta.ROW_SPLITS:if(r.length-1>t.length)throw new Error(`Row partition size is greater than output size: ${r.length-1} > ${t.length}`);return this.calculateOutputIndexRowSplit(r,t,n,a);default:throw new Error(`Unsupported partition type: ${Ta[s]}`)}}getFirstDimensionSize(){let e=this.rowPartitionValues[0];if(this.rowPartitionTypes.length===0)throw new Error("No row_partition_types given.");let t=this.rowPartitionTypes[0];switch(t){case Ta.FIRST_DIM_SIZE:return e[0];case Ta.VALUE_ROWIDS:throw new Error("Cannot handle VALUE_ROWIDS in first dimension.");case Ta.ROW_SPLITS:return this.rowPartitionValuesShapes[0][0]-1;default:throw new Error(`Cannot handle type ${Ta[t]}`)}}compute(){if(this.rowPartitionValues[0].length<=0)throw new Error("Invalid first partition input. Tensor requires at least one element.");let e=this.getFirstDimensionSize(),t=this.calculateOutputSize(e),n=new Array(this.raggedRank+1);n[n.length-1]=1;for(let s=n.length-2;s>=0;--s)n[s]=n[s+1]*t[s+1];let a=uI(t,!1),r=v.getArrayFromDType(this.valuesDType,v.sizeFromShape(a));if(n[0]*t[0]>0){let s=this.calculateFirstParentOutputIndex(e,n[0],t[0]);for(let i=1;i<=this.raggedRank;++i)s=this.calculateOutputIndex(i-1,s,n[i],t[i]);this.setOutput(this.raggedRank,s,r,a)}return[a,r]}setOutput(e,t,n,a){if(n.length===0)return;let r=this.values,s=n,i=a.slice();i=i.slice(e+1);let o=v.sizeFromShape(i),l=t.length,u=this.defaultValue;if(u.length!==o&&u.length!==1){let h=this.defaultValueShape;P(()=>{let m=W(u,h);u=Xs(m,i).dataSync()})}let p=0,d=0,c=0;for(let h=0;h<=l;++h){let m=h=l){let f=n.length;m=Math.floor(f/o)}if(m>c)if(this.defaultValue.length===1)s.subarray(c*o,m*o).fill(this.defaultValue[0]),c=m;else for(;m>c;){let f=s.slice(c*o);lI(f,u,o),++c}m<0?(p=h+1,d=c):(p=h,d=c,c=d+1)}}};function lI(e,t,n){for(let a=0;a= 0`);if(a<-1)throw new Error(`Dimension ${a} must be >= -1`);a=-1}n.push(a)}return n}function MC(e,t,n,a,r,s,i,o,l,u){return new cx(e,t,n,a,r,s,i,o,l,u).compute()}function W0(e,t,n,a){let r=e===t,s=e1;if(r||s||i)return v.makeZerosTypedArray(0,a);let o=Math.abs(Math.ceil((t-e)/n)),l=v.makeZerosTypedArray(o,a);t1/Math.sqrt(e)),fq=Ku(no,PC),gq={kernelName:no,backendName:"cpu",kernelFunc:fq};function ll(e,t,n,a,r,s,i,o,l,u){let p=[a/r,r],d=e.values,c=t.values;if(a===0)return Oe(n,t.dtype);let h=Oe(p,t.dtype);typeof l=="string"||typeof l=="number"?h.values.fill(l):typeof l=="boolean"&&h.values.fill(+l);for(let m=0;m=a/r)throw new Error(`Invalid indices: ${f} does not index into ${n}`);for(let b=0;b1/(1+Math.exp(-e))),OC=rt(ro,e=>1/(1+Math.exp(-e))),yq={kernelName:ro,backendName:"cpu",kernelFunc:OC};function Jh(e,t,n,a,r){let s=jt.isSliceContinous(a,t,n),i=v.sizeFromShape(n),o=v.computeStrides(a);if(s){let d=jt.computeFlatOffset(t,o);return r==="string"?e.slice(d,d+i):e.subarray(d,d+i)}let l=r==="string"?N.fromUint8ToStringArray(e):e,u=Oe(a,r,l),p=Oe(n,r);for(let d=0;dm+t[f]);p.set(u.get(...h),...c)}return r==="string"?N.fromStringArrayToUint8(p.values):p.values}function pi(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{begin:s,size:i}=a;ge(r,"slice");let[o,l]=jt.parseSliceParams(r,s,i);jt.assertParamsValid(r,o,l);let u=n.data.get(r.dataId).values,p=Jh(u,o,l,r.shape,r.dtype);return n.makeTensorInfo(l,r.dtype,p)}var xq={kernelName:Su,backendName:"cpu",kernelFunc:pi};function LC(e,t,n,a,r,s,i){let o=t[0],l=s[0],u=new Array(l),p=new Array(o),d=t[1];if(l===0){if(o!==0)throw new Error(N.getSparseFillEmptyRowsIndicesDenseShapeMismatch(o));let g=v.getArrayFromDType(n,0),b=v.getArrayFromDType(r,0);return[g,[0,d],b,u,p]}let c=!0,h=0,m=new Array(l).fill(0);for(let g=0;g=l)throw new Error(N.getSparseFillEmptyRowsOutOfRangeIndexErrorMessage(g,b,l));++m[b],c=c&&b>=h,h=b}let f=!0;for(let g=0;g0&&(m[g]+=m[g-1])}if(f&&c){let g=e,b=a;for(let y=0;y0){c[d-1]=1;for(let f=d-2;f>=0;--f)c[f]=c[f+1]*a[f+1]}let h=[];if(o>0){h[o-1]=1;for(let f=o-2;f>=0;--f)h[f]=h[f+1]*l[f+1]}let m=v.getArrayFromDType(n,i*o);for(let f=0;f0?r[o-1]+1:0;if(p<0)throw new Error(N.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let d=t.slice();d[0]=p;let c=d.reduce((y,x)=>y*x,1),h=v.getArrayFromDType(n,c);if(o===0)return p>0&&h.fill(i),[h,d];if(p<=0)throw new Error(N.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let m=0,f=1,g=0,b=r[m];for(;;){let y=0;if(f=y)throw new Error(N.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage())}if(b<0||b>=p)throw new Error(N.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(b,p));b>g&&h.fill(i,g*u,b*u);for(let x=m;x=l[0])throw new Error(N.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(x,a[x],l[0]));for(let I=0;Io)break}return gMath.sqrt(e)),wq=rt(so,e=>Math.sqrt(e)),kq={kernelName:so,backendName:"cpu",kernelFunc:wq},WC=Vt((e,t)=>{let n=e-t;return n*n}),Iq=nn(lo,WC),Sq={kernelName:lo,backendName:"cpu",kernelFunc:Iq};function BC(e,t,n,a){let r=Oe(e,t.dtype);for(let s=0;s0?0:i-o),c=0;c+=l*this.leftPad.length;for(let g=0;gg.forEach(b=>h[m++]=b);for(let g=0;g0){f(e[d+p-1]);for(let g=0;g0){let o=t[0];if(o!==0)throw new Error(`First split value must be 0, got ${o}`);for(let l=1;l=o;if(u=u&&t[l]<=n,!u)throw new Error(`Invalid split value ${t[l]}, must be in [${o}, ${n}]`);o=t[l]}if(o!==n)throw new Error(`Last split value must be data size. Expected ${n}, got ${o}`)}let r=a-1,s=v.getArrayFromDType("int32",a);if(n===0||a===0){let o=new Array(n);for(let l=0;l<=r;++l)s[l]=0;return[o,s]}s[0]=0;for(let o=1;o<=r;++o){let l=t[o]-t[o-1],u=0;this.nGramWidths.forEach(p=>{u+=this.getNumNGrams(l,p)}),this.preserveShort&&l>0&&u===0&&(u=1),s[o]=s[o-1]+u}let i=new Array(s[r]);for(let o=0;o{let d=t[o+1]-t[o],c=this.getNumNGrams(d,p);this.createNGrams(e,l,i,u,c,p),u+=c}),this.preserveShort&&u===s[o]){let p=t[o+1]-t[o];if(p===0)continue;let d=p+2*this.padWidth,c=1;this.createNGrams(e,l,i,u,c,d)}}return[i,s]}};function V0(e,t,n,a,r,s,i,o){return new Tq(n,a,r,s,i,o).compute(e,t)}function Nq(e,t,n,a){if(!e.length)return;if(t.length===0){for(let s=0;se-t),Cq=M0((e,t,n,a)=>({real:e-n,imag:t-a})),H0=nn(uo,VC,Cq),_q={kernelName:uo,backendName:"cpu",kernelFunc:H0};function UC(e,t){let n=new Array(e.rank);for(let r=0;r{let n=t.value-e.value;return n===0?e.index-t.index:n};function GC(e,t,n=0,a=e.length-1){for(;a>n;){if(a-n>600){let o=a-n+1,l=t-n+1,u=Math.log(o),p=.5*Math.exp(2*u/3),d=.5*Math.sqrt(u*p*(o-p)/o)*Math.sign(l-o/2),c=Math.max(n,Math.floor(t-l*p/o+d)),h=Math.min(a,Math.floor(t+(o-l)*p/o+d));GC(e,t,c,h)}let r=e[t],s=n,i=a;for(v.swap(e,n,t),Op(e[a],r)>0&&v.swap(e,n,a);s0;)i=i-1}Op(e[n],r)===0?v.swap(e,n,i):(i=i+1,v.swap(e,i,a)),i<=t&&(n=i+1),t<=i&&(a=i-1)}}function HC(e,t,n,a,r){let s=t[t.length-1],[i,o]=[e.length/s,s],l=v.getTypedArrayFromDType(n,i*a),u=v.getTypedArrayFromDType("int32",i*a);for(let d=0;dm[x]={value:y,index:x}),a{for(let g=0;gnew R0,1);var qC=rt(_i,e=>e>=0?e:Math.exp(e)-1),Eq={kernelName:_i,backendName:"cpu",kernelFunc:qC};function KC(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{alpha:s}=a;ge([r],"leakyRelu");let i=v.sizeFromShape(r.shape),o=n.data.get(r.dataId).values,l=v.getTypedArrayFromDType("float32",i);for(let u=0;ue<0?t*e:e);function XC(e){let{inputs:t,backend:n}=e,{x:a,alpha:r}=t;ge([a,r],"prelu");let s=n.data.get(a.dataId).values,i=n.data.get(r.dataId).values,[o,l]=$q(a.shape,r.shape,s,i,"float32");return n.makeTensorInfo(l,"float32",o)}var Fq={kernelName:Ki,backendName:"cpu",kernelFunc:XC},YC=rt(Yi,e=>Math.max(0,e)),Dq={kernelName:Yi,backendName:"cpu",kernelFunc:YC},ZC=rt(Qi,e=>Math.min(Math.max(0,e),6)),Rq={kernelName:Qi,backendName:"cpu",kernelFunc:ZC};function Qh(e,t,n,a,r){if(n==="linear")return pr({inputs:{x:t},backend:e});if(n==="relu")return YC({inputs:{x:t},backend:e});if(n==="elu")return qC({inputs:{x:t},backend:e});if(n==="relu6")return ZC({inputs:{x:t},backend:e});if(n==="prelu")return XC({inputs:{x:t,alpha:a},backend:e});if(n==="leakyrelu")return KC({inputs:{x:t},backend:e,attrs:{alpha:r}});if(n==="sigmoid")return OC({inputs:{x:t},backend:e});throw new Error(`Activation ${n} has not been implemented for the CPU backend.`)}function ft(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{shape:s}=a,i=v.sizeFromShape(r.shape),o=v.inferFromImplicitShape(s,i),l=v.sizeFromShape(o);v.assert(i===l,()=>`The new shape (${o}) has ${l} elements and the old shape (${r.shape}) has ${i} elements. The new shape and old shape must have the same number of elements.`),n.incRef(r.dataId);let u=n.data.get(r.dataId);if(u.complexTensorInfos!=null){let p=u.complexTensorInfos.real,d=u.complexTensorInfos.imag;p.shape=o,d.shape=o}return{dataId:r.dataId,shape:o,dtype:r.dtype}}var Mq={kernelName:vu,backendName:"cpu",kernelFunc:ft};function JC(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s}=t,{transposeA:i,transposeB:o}=a;ge([r,s],"matMul");let l=r.shape.length,u=s.shape.length,p=i?r.shape[l-2]:r.shape[l-1],d=o?s.shape[u-1]:s.shape[u-2],c=i?r.shape[l-1]:r.shape[l-2],h=o?s.shape[u-2]:s.shape[u-1],m=r.shape.slice(0,-2),f=s.shape.slice(0,-2),g=v.sizeFromShape(m),b=v.sizeFromShape(f),y=Ou.assertAndGetBroadcastShape(r.shape.slice(0,-2),s.shape.slice(0,-2)).concat([c,h]);v.assert(p===d,()=>`Error in matMul: inner shapes (${p}) and (${d}) of Tensors with shapes ${r.shape} and ${s.shape} and transposeA=${i} and transposeB=${o} must match.`);let x=i?[g,p,c]:[g,c,p],w=o?[b,h,d]:[b,d,h],I=ft({inputs:{x:r},backend:n,attrs:{shape:x}}),T=ft({inputs:{x:s},backend:n,attrs:{shape:w}}),C=i?I.shape[1]:I.shape[2],E=i?I.shape[2]:I.shape[1],A=o?T.shape[1]:T.shape[2],R=Math.max(g,b),F=n.data.get(I.dataId).values,S=n.data.get(T.dataId).values,M=v.computeStrides(I.shape),B=v.computeStrides(T.shape),[U,G,q]=i?[M[0],1,M[1]]:[M[0],M[1],1],[K,Z,Q]=o?[1,B[1],B[0]]:[B[1],1,B[0]],ee=E*A,ae=Oe([R,E,A],I.dtype),te=ae.values,le=n.blockSize;for(let ie=0;ieMath.acos(e)),Wq={kernelName:Rl,backendName:"cpu",kernelFunc:zq},Bq=rt(Ml,e=>Math.acosh(e)),Vq={kernelName:Ml,backendName:"cpu",kernelFunc:Bq};function Uq(e){let{inputs:t,backend:n}=e,a=t;ge(t,"addN");let r=a.map(o=>n.data.get(o.dataId).values),s=Oe(a[0].shape,a[0].dtype),i=s.values;for(let o=0;oy&&(y=I,x=w)}h[g]=x}return u.forEach(g=>n.disposeIntermediateTensorInfo(g)),n.makeTensorInfo(p,"int32",h)}var Yq={kernelName:gi,backendName:"cpu",kernelFunc:Xq};function Zq(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s}=a;ge(r,"argMin");let i=v.parseAxisParam(s,r.shape),o=N.getAxesPermutation(i,r.shape.length),l=r,u=[];o!=null&&(l=Vn({inputs:{x:r},backend:n,attrs:{perm:o}}),u.push(l),i=N.getInnerMostAxes(i.length,l.shape.length)),i=[i[0]],N.assertAxesAreInnerMostDims("argMin",i,l.shape.length);let[p,d]=N.computeOutAndReduceShapes(l.shape,i),c=v.sizeFromShape(p),h=v.makeZerosTypedArray(c,"int32"),m=v.sizeFromShape(d),f=n.data.get(l.dataId).values;for(let g=0;gn.disposeIntermediateTensorInfo(g)),n.makeTensorInfo(p,"int32",h)}var Jq={kernelName:cc,backendName:"cpu",kernelFunc:Zq},Qq=rt(Ll,e=>Math.asin(e)),e5={kernelName:Ll,backendName:"cpu",kernelFunc:Qq},t5=rt(zl,e=>Math.asinh(e)),n5={kernelName:zl,backendName:"cpu",kernelFunc:t5},a5=rt(Wl,e=>Math.atan(e)),r5={kernelName:Wl,backendName:"cpu",kernelFunc:a5},s5=Vt((e,t)=>Math.atan2(e,t)),i5=nn(Vl,s5),o5={kernelName:Vl,backendName:"cpu",kernelFunc:i5},l5=rt(Bl,e=>Math.atanh(e)),u5={kernelName:Bl,backendName:"cpu",kernelFunc:l5};function j0(e,t,n,a,r,s){let i=r.strideHeight,o=r.strideWidth,l=r.dilationHeight,u=r.dilationWidth,p=r.effectiveFilterHeight,d=r.effectiveFilterWidth,c=r.padInfo.top,h=r.padInfo.left,m=s==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,f=Oe(r.outShape,n),g=f.values,b=r.outShape[1]*r.outShape[2]*r.outShape[3],y=r.outShape[2]*r.outShape[3],x=r.outShape[3];for(let w=0;wq?q=ie:s==="avg"&&(K+=ie,Z++)}if(isNaN(q))break}let Q=S+M*x+C;g[Q]=s==="avg"?K/Z:q}}}return f}function QC(e,t,n,a,r=!1,s=!1){let i=Oe(a.outShape,"int32"),o=a.strideHeight,l=a.strideWidth,u=a.dilationHeight,p=a.dilationWidth,d=a.effectiveFilterHeight,c=a.effectiveFilterWidth,h=a.padInfo.top,m=a.padInfo.left,f=Oe(t,n,e);for(let g=0;gR&&(R=G,r?F=s?((g*a.inHeight+S)*a.inWidth+B)*a.inChannels+b:(S*a.inWidth+B)*a.inChannels+b:F=M*c+U)}}i.set(F,g,y,T,b)}}return i}function e_(e,t,n,a,r,s){let i=r.strideDepth,o=r.strideHeight,l=r.strideWidth,u=r.dilationDepth,p=r.dilationHeight,d=r.dilationWidth,c=r.effectiveFilterDepth,h=r.effectiveFilterHeight,m=r.effectiveFilterWidth,f=r.padInfo.front,g=r.padInfo.top,b=r.padInfo.left,y=s==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,x=Oe(r.outShape,n),w=x.values,I=r.outShape[1]*r.outShape[2]*r.outShape[3]*r.outShape[4],T=r.outShape[2]*r.outShape[3]*r.outShape[4],C=r.outShape[3]*r.outShape[4],E=r.outShape[4];for(let A=0;Axe?xe=dt:s==="avg"&&(Ie+=dt,Se++),isNaN(xe))break}if(isNaN(xe))break}if(isNaN(xe))break}let Le=ue+S;w[Le]=s==="avg"?Ie/Se:xe}}}}return x}function p5(e,t){let n=Oe(t.outShape,"int32"),a=t.strideDepth,r=t.strideHeight,s=t.strideWidth,i=t.dilationDepth,o=t.dilationHeight,l=t.dilationWidth,u=t.effectiveFilterDepth,p=t.effectiveFilterHeight,d=t.effectiveFilterWidth,c=t.padInfo.front,h=t.padInfo.top,m=t.padInfo.left;for(let f=0;f=M&&(M=ee,B=G*p*d+K*p+Q)}}}n.set(B,f,b,I,A,g)}}}return n}function c5(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t;ge(r,"avgPool");let{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=a,u=1;v.assert(N.eitherStridesOrDilationsAreOne(i,u),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${u}'`);let p=N.computePool2DInfo(r.shape,s,i,u,o,l),d;if(p.filterWidth===1&&p.filterHeight===1&&v.arraysEqual(p.inShape,p.outShape))d=pr({inputs:{x:r},backend:n});else{let c=n.data.get(r.dataId).values,h=v.computeStrides(r.shape),m=j0(c,r.shape,r.dtype,h,p,"avg");d=n.makeTensorInfo(p.outShape,r.dtype,m.values)}return d}var d5={kernelName:bi,backendName:"cpu",kernelFunc:c5};function h5(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l,dataFormat:u}=a;ge(r,"avgPool3d");let p=N.computePool3DInfo(r.shape,s,i,1,o,l,u),d=n.data.get(r.dataId).values,c=e_(d,r.shape,r.dtype,v.computeStrides(r.shape),p,"avg");return n.makeTensorInfo(c.shape,"float32",c.values)}var m5={kernelName:dc,backendName:"cpu",kernelFunc:h5};function f5(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,{filterSize:i,strides:o,pad:l,dimRoundingMode:u}=a;ge([r,s],"avgPool3DGrad");let p=N.computePool3DInfo(s.shape,i,o,1,l,u),d=p.strideDepth,c=p.strideHeight,h=p.strideWidth,m=p.filterDepth,f=p.filterHeight,g=p.filterWidth,b=p.dilationDepth,y=p.dilationHeight,x=p.dilationWidth,w=p.effectiveFilterDepth,I=p.effectiveFilterHeight,T=p.effectiveFilterWidth,C=w-1-p.padInfo.front,E=T-1-p.padInfo.left,A=I-1-p.padInfo.top,R=Oe(s.shape,"float32"),F=1/(m*f*g),S=n.bufferSync(r);for(let M=0;M=p.outDepth||Math.floor(te)!==te))for(let le=0;le=p.outHeight||Math.floor(ie)!==ie))for(let be=0;be=p.outWidth||Math.floor(ue)!==ue||(ee+=S.get(M,te,ie,ue,B))}}}R.set(ee*F,M,U,G,q,B)}return n.makeTensorInfo(R.shape,R.dtype,R.values)}var g5={kernelName:cm,backendName:"cpu",kernelFunc:f5};function b5(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,i=s;ge([r,s],"avgPoolGrad");let{filterSize:o,strides:l,pad:u}=a,p=N.computePool2DInfo(i.shape,o,l,1,u),d=p.strideHeight,c=p.strideWidth,h=p.filterHeight,m=p.filterWidth,f=p.dilationHeight,g=p.dilationWidth,b=p.effectiveFilterHeight,y=p.effectiveFilterWidth,x=y-1-p.padInfo.left,w=b-1-p.padInfo.top,I=Oe(i.shape,"float32"),T=1/(h*m),C=n.data.get(r.dataId).values,E=Oe(r.shape,"float32",C);for(let A=0;A=p.outHeight||Math.floor(q)!==q))for(let K=0;K=p.outWidth||Math.floor(Z)!==Z||(U+=E.get(A,q,Z,R))}}I.set(U*T,A,F,S,R)}return n.makeTensorInfo(I.shape,I.dtype,I.values)}var y5={kernelName:pm,backendName:"cpu",kernelFunc:b5};function x5(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,scale:s,offset:i,mean:o,variance:l}=t;v.assert(o.shape.length===l.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),v.assert(i==null||o.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),v.assert(s==null||o.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks."),ge([r,o,l,s,i],"batchNorm");let{varianceEpsilon:u}=a;u==null&&(u=.001);let p=n.data.get(r.dataId).values,d=n.data.get(o.dataId).values,c=n.data.get(l.dataId).values,h=s?n.data.get(s.dataId).values:new Float32Array([1]),m=i?n.data.get(i.dataId).values:new Float32Array([0]),f=new Float32Array(p.length),g=m.length,b=h.length,y=c.length,x=d.length,w=0,I=0,T=0,C=0;for(let E=0;E=g&&(w=0),I>=x&&(I=0),T>=b&&(T=0),C>=y&&(C=0);return n.makeTensorInfo(r.shape,r.dtype,f)}var v5={kernelName:Fi,backendName:"cpu",kernelFunc:x5};function w5(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockShape:s,crops:i}=a;ge([r],"batchToSpaceND");let o=s.reduce((b,y)=>b*y),l=N.getReshaped(r.shape,s,o),u=N.getPermuted(l.length,s.length),p=N.getReshapedPermuted(r.shape,s,o),d=N.getSliceBeginCoords(i,s.length),c=N.getSliceSize(p,i,s.length),h=ft({inputs:{x:r},backend:n,attrs:{shape:l}}),m=Vn({inputs:{x:h},backend:n,attrs:{perm:u}}),f=ft({inputs:{x:m},backend:n,attrs:{shape:p}}),g=pi({inputs:{x:f},backend:n,attrs:{begin:d,size:c}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(f),g}var k5={kernelName:Ul,backendName:"cpu",kernelFunc:w5};function I5(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,weights:s}=t,{size:i}=a,o=n.data.get(r.dataId).values,l=n.data.get(s.dataId).values,u=P0(o,l,s.dtype,s.shape,i);return n.makeTensorInfo([i],s.dtype,u)}var S5={kernelName:dm,backendName:"cpu",kernelFunc:I5};function T5(e){let{inputs:t,backend:n}=e,{s0:a,s1:r}=t,s=n.data.get(a.dataId).values,i=n.data.get(r.dataId).values,o=N.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return n.makeTensorInfo([o.length],"int32",Int32Array.from(o))}var N5={kernelName:hm,backendName:"cpu",kernelFunc:T5},C5=rt(bs,(e,t)=>{let n=t;return e>n.clipValueMax?n.clipValueMax:e{let{x:t}=e.inputs,n=e.backend,a=new Float32Array(v.sizeFromShape(t.shape)),r=n.data.get(t.dataId),s=r.complexTensorInfos.real,i=r.complexTensorInfos.imag,o=n.data.get(s.dataId).values,l=n.data.get(i.dataId).values;for(let u=0;uf.shape);N.assertParamsConsistent(i,s);let o=N.computeOutShape(t.map(f=>f.shape),s);if(v.sizeFromShape(o)===0)return n.makeTensorInfo(o,t[0].dtype,[]);let l=t.filter(f=>v.sizeFromShape(f.shape)>0);if(l.length===1)return pr({inputs:{x:l[0]},backend:n});if(l[0].dtype==="complex64"){let f=l.map(w=>ui({inputs:{input:w},backend:n})),g=l.map(w=>El({inputs:{input:w},backend:n})),b=Al({inputs:f,backend:n,attrs:{axis:s}}),y=Al({inputs:g,backend:n,attrs:{axis:s}}),x=Zn({inputs:{real:b,imag:y},backend:n});return f.forEach(w=>n.disposeIntermediateTensorInfo(w)),g.forEach(w=>n.disposeIntermediateTensorInfo(w)),n.disposeIntermediateTensorInfo(b),n.disposeIntermediateTensorInfo(y),x}let u=l.map(f=>{let g=v.sizeFromShape(f.shape.slice(s));return ft({inputs:{x:f},backend:n,attrs:{shape:[-1,g]}})}),p=u.map(f=>({vals:n.data.get(f.dataId).values,shape:f.shape}));o=N.computeOutShape(u.map(f=>f.shape),1);let d=u[0].shape[0]===1,c=O0(p,o,t[0].dtype,d),h=N.computeOutShape(l.map(f=>f.shape),s),m=n.makeTensorInfo(h,t[0].dtype,c);return u.forEach(f=>n.disposeIntermediateTensorInfo(f)),m}var F5={kernelName:Gl,backendName:"cpu",kernelFunc:Al};function t_(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dataFormat:l,dilations:u,dimRoundingMode:p}=a;ge([r,s],"conv2d");let d=N.convertConv2DDataFormat(l),c=N.computeConv2DInfo(r.shape,s.shape,i,u,o,p,!1,d),h=c.filterHeight,m=c.filterWidth,f=c.dilationHeight,g=c.dilationWidth,b=c.padInfo.left,y=c.padInfo.top,x=c.dataFormat==="channelsLast",w=new Ht(c.outShape,r.dtype),I=v.computeStrides(r.shape),T=v.computeStrides(s.shape),C=I[0],E=x?I[1]:I[2],A=x?I[2]:1,R=x?1:I[1],F=w.strides[0],S=x?w.strides[1]:w.strides[2],M=x?w.strides[2]:1,B=x?1:w.strides[1],U=n.data.get(r.dataId).values,G=n.data.get(s.dataId).values,q=w.values;for(let K=0;K=c.inHeight)continue;let be=le*T[0],ue=Z+ie*E;for(let xe=0;xe=c.inWidth)continue;let nt=be+Le*T[1],it=ue+Ve*A,et=nt;for(let at=0;at=u.inDepth)continue;let K=G*A[0],Z=F+q*E[1];for(let Q=0;Q=u.inHeight)continue;let ie=K+te*A[1],be=Z+le*E[2];for(let ue=0;ue=u.inWidth)continue;let Ve=ie+Se*A[2],nt=be+Le*u.inChannels,it=Ve;for(let et=0;etMath.cos(e)),H5={kernelName:Ii,backendName:"cpu",kernelFunc:G5},j5=rt(Si,e=>Math.cosh(e)),q5={kernelName:Si,backendName:"cpu",kernelFunc:j5};function K5(e){let{inputs:t,backend:n,attrs:a}=e,{image:r,boxes:s,boxInd:i}=t,{cropSize:o,method:l,extrapolationValue:u}=a,[p,d,c,h]=r.shape,m=s.shape[0],[f,g]=o,b=Oe([m,f,g,h],"float32"),y=n.data.get(s.dataId).values,x=n.data.get(i.dataId).values,w=n.data.get(r.dataId).values,I=v.computeStrides(r.shape),T=v.computeStrides(b.shape);for(let C=0;C=p)continue;let B=f>1?(F-A)*(d-1)/(f-1):0,U=g>1?(S-R)*(c-1)/(g-1):0;for(let G=0;G1?A*(d-1)+G*B:.5*(A+F)*(d-1);if(q<0||q>d-1){for(let K=0;K1?R*(c-1)+ee*U:.5*(R+S)*(c-1);if(ae<0||ae>c-1){for(let be=0;be1?R*(c-1)+K*U:.5*(R+S)*(c-1);if(Z<0||Z>c-1){for(let ae=0;aeb+m-y-1:(b,y)=>b+y;for(let b=0;bb+m-y-1:(b,y)=>b+y;for(let b=0;b`Only NHWC dataFormat supported on CPU for depthToSpace. Got ${i}`);let o=r.shape[0],l=r.shape[1],u=r.shape[2],p=r.shape[3],d=l*s,c=u*s,h=p/(s*s),m=n.data.get(r.dataId).values,f=new Float32Array(o*d*c*h),g=0;for(let b=0;b`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${c}'`);let h=N.computeConv2DInfo(r.shape,s.shape,i,c,o,u,!0),{filterHeight:m,filterWidth:f,dilationHeight:g,dilationWidth:b,padInfo:y}=h,x=y.left,w=y.top,I=h.outChannels/h.inChannels,T=new Ht(h.outShape,r.dtype),C=n.data.get(r.dataId).values,E=n.data.get(s.dataId).values,A=T.values;for(let R=0;R=h.inHeight)continue;let K=G*d[0],Z=F+q*p[1];for(let Q=0;Q=h.inWidth)continue;let ie=K+te*d[1],be=Z+le*h.inChannels,ue=ee,xe=ie;for(let Ie=0;Ie{let{x:a,filter:r}=e,{strides:s,pad:i,dilations:o}=n,l=t,u=l.data.get(a.dataId).values,p=a.shape.length,d=l.data.get(r.dataId).values,c=r.shape.length,{batchSize:h,inHeight:m,inWidth:f,inChannels:g,outHeight:b,outWidth:y,padInfo:x,strideHeight:w,strideWidth:I,filterHeight:T,filterWidth:C,dilationHeight:E,dilationWidth:A,outShape:R}=N.computeDilation2DInfo(a.shape,r.shape,s,i,"NHWC",o),F=v.sizeFromShape(R),S=R.length,M=v.getArrayFromDType(a.dtype,F);for(let B=0;B=0&&te=0&&ieQ&&(Q=xe)}}}let ee=v.locToIndex([B,U,q,Z],S,v.computeStrides(R));M[ee]=Q}}}return{dataId:l.write(v.toTypedArray(M,a.dtype),R,a.dtype),shape:R,dtype:a.dtype}}},d8={kernelName:$h,backendName:"cpu",kernelFunc:({inputs:e,backend:t,attrs:n})=>{let{x:a,filter:r,dy:s}=e,{strides:i,pad:o,dilations:l}=n,u=t,p=v.toNestedArray(a.shape,u.data.get(a.dataId).values),d=v.toNestedArray(r.shape,u.data.get(r.dataId).values),{batchSize:c,inHeight:h,inWidth:m,inChannels:f,outHeight:g,outWidth:b,padInfo:y,strideHeight:x,strideWidth:w,filterHeight:I,filterWidth:T,dilationHeight:C,dilationWidth:E,outShape:A}=N.computeDilation2DInfo(a.shape,r.shape,i,o,"NHWC",l);v.assert(s.rank===A.length,()=>`Error in ${$h}, dy must have the same rank as output ${A.length}, but got ${s.rank}`);let R=v.toNestedArray(A,u.data.get(s.dataId).values),F=v.makeZerosNestedTypedArray(r.shape,r.dtype);for(let S=0;S=0&&ae=0&&leK&&(K=ie,Z=ee,Q=te)}}}F[Z][Q][q]+=R[S][M][U][q]}}}return{dataId:u.write(v.toTypedArray(F,a.dtype),r.shape,r.dtype),shape:r.shape,dtype:r.dtype}}},h8={kernelName:Ah,backendName:"cpu",kernelFunc:({inputs:e,backend:t,attrs:n})=>{let{x:a,filter:r,dy:s}=e,{strides:i,pad:o,dilations:l}=n,u=t,p=v.toNestedArray(a.shape,u.data.get(a.dataId).values),d=v.toNestedArray(r.shape,u.data.get(r.dataId).values),{batchSize:c,inHeight:h,inWidth:m,inChannels:f,outHeight:g,outWidth:b,padInfo:y,strideHeight:x,strideWidth:w,filterHeight:I,filterWidth:T,dilationHeight:C,dilationWidth:E,outShape:A}=N.computeDilation2DInfo(a.shape,r.shape,i,o,"NHWC",l);v.assert(s.rank===A.length,()=>`Error in ${Ah}, dy must have the same rank as output ${A.length}, but got ${s.rank}`);let R=v.toNestedArray(A,u.data.get(s.dataId).values),F=v.makeZerosNestedTypedArray(a.shape,a.dtype);for(let S=0;S=0&&ae=0&&leK&&(K=ie,Z=ae,Q=le)}}}F[S][Z][Q][q]+=R[S][M][U][q]}}}return{dataId:u.write(v.toTypedArray(F,a.dtype),a.shape,a.dtype),shape:a.shape,dtype:a.dtype}}};function sd(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a;ge(r,"sum");let o;r.dtype==="bool"?o=ds({inputs:{x:r},backend:n,attrs:{dtype:"int32"}}):o=pr({inputs:{x:r},backend:n});let l=o.shape.length,u=v.parseAxisParam(s,o.shape),p=N.getAxesPermutation(u,l),d=u,c=o;p!=null&&(c=Vn({inputs:{x:o},backend:n,attrs:{perm:p}}),d=N.getInnerMostAxes(d.length,l)),N.assertAxesAreInnerMostDims("sum",d,c.shape.length);let[h,m]=N.computeOutAndReduceShapes(c.shape,d),f=N.upcastType(c.dtype,"int32"),g=Zh(n,h,f),b=v.sizeFromShape(m),y=n.data.get(g.dataId).values,x=n.data.get(c.dataId).values;for(let w=0;w=0&&(c=sd({inputs:{x:c},backend:n,attrs:{axis:u[f]-(i.length-h),keepDims:!1}}),m.push(c)),h--)}for(let f of m)f!==c&&n.disposeIntermediateTensorInfo(f);return c}var g8={kernelName:km,backendName:"cpu",kernelFunc:f8};function b8(e){let{inputs:t,backend:n}=e,{dy:a,y:r}=t;ge([a,r],"eluGrad");let s=new Float32Array(v.sizeFromShape(r.shape)),i=n.data.get(r.dataId).values,o=n.data.get(a.dataId).values;for(let l=0;l=1?s[l]=o[l]:s[l]=o[l]*(u+1)}return n.makeTensorInfo(r.shape,"float32",s)}var y8={kernelName:Im,backendName:"cpu",kernelFunc:b8},x8=N.ERF_P,v8=N.ERF_A1,w8=N.ERF_A2,k8=N.ERF_A3,I8=N.ERF_A4,S8=N.ERF_A5,T8=rt(Kl,e=>{let t=Math.sign(e),n=Math.abs(e),a=1/(1+x8*n);return t*(1-((((S8*a+I8)*a+k8)*a+w8)*a+v8)*a*Math.exp(-n*n))}),N8={kernelName:Kl,backendName:"cpu",kernelFunc:T8};function em(e){let{inputs:t,backend:n,attrs:a}=e,{input:r}=t,{dim:s}=a,i=r.shape.length,o=r.shape.slice(),l=s;return s<0&&(v.assert(-(i+1)<=s,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),l=i+s+1),o.splice(l,0,1),ft({inputs:{x:r},backend:n,attrs:{shape:o}})}var C8={kernelName:Yl,backendName:"cpu",kernelFunc:em},_8=Vt((e,t)=>e/t),q0=nn(Ci,_8),dx={kernelName:Ci,backendName:"cpu",kernelFunc:q0};function a_(e,t,n){let a=e.shape,r=a[0],s=a[1],i=n.data.get(e.dataId),o=i.complexTensorInfos.real,l=i.complexTensorInfos.imag,u=[r,s],p=v.sizeFromShape(u),d=v.getTypedArrayFromDType("float32",p),c=v.getTypedArrayFromDType("float32",p);for(let g=0;g{let{image:a}=e,r=n,s=v.getTypedArrayFromDType(a.dtype,v.sizeFromShape(a.shape)),[i,o,l,u]=a.shape,p=r.data.get(a.dataId).values;for(let d=0;d=0&&yMath.floor(e/t)),L8=nn($i,O8,null,"int32"),z8={kernelName:$i,backendName:"cpu",kernelFunc:L8};function W8(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dataFormat:p,dilations:d,dimRoundingMode:c,activation:h,leakyreluAlpha:m}=a,f=t_({inputs:{x:r,filter:s},backend:n,attrs:{strides:l,pad:u,dataFormat:p,dilations:d,dimRoundingMode:c}});if(i){let g=f;if(p==="NCHW"&&i.shape.length===1&&i.shape[0]!==1){let b=ft({inputs:{x:i},backend:n,attrs:{shape:[i.shape[0],1,1]}});f=_l({inputs:{a:f,b},backend:n}),n.disposeIntermediateTensorInfo(b)}else f=_l({inputs:{a:f,b:i},backend:n});n.disposeIntermediateTensorInfo(g)}if(h){let g=f;if(p==="NCHW"&&h==="prelu"&&o.shape.length===1&&o.shape[0]!==1){let b=ft({inputs:{x:o},backend:n,attrs:{shape:[o.shape[0],1,1]}});f=Qh(n,f,h,b,m),n.disposeIntermediateTensorInfo(b)}else f=Qh(n,f,h,o,m);n.disposeIntermediateTensorInfo(g)}return f}var B8={kernelName:ei,backendName:"cpu",kernelFunc:W8};function V8(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dataFormat:p,dilations:d,dimRoundingMode:c,activation:h,leakyreluAlpha:m}=a,f=n_({inputs:{x:r,filter:s},backend:n,attrs:{strides:l,pad:u,dataFormat:p,dilations:d,dimRoundingMode:c}});if(i){let g=f;f=_l({inputs:{a:f,b:i},backend:n}),n.disposeIntermediateTensorInfo(g)}if(h){let g=f;f=Qh(n,f,h,o,m),n.disposeIntermediateTensorInfo(g)}return f}var U8={kernelName:ti,backendName:"cpu",kernelFunc:V8};function G8(e){let{inputs:t,backend:n}=e,{params:a,indices:r}=t,s=v.sizeFromShape(a.shape),i=r.shape,o=i[i.length-1],[l,u,p,d]=N.prepareAndValidate(a,r);if(u===0)return n.makeTensorInfo(l,a.dtype,[]);let c=n.data.get(r.dataId).values,h=n.bufferSync(a),m=xC(c,h,a.dtype,u,o,p,d,a.shape,s);return n.makeTensorInfo(l,a.dtype,m.values)}var H8={kernelName:eu,backendName:"cpu",kernelFunc:G8};function j8(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,indices:s}=t,{axis:i,batchDims:o}=a;ge([r,s],"gatherV2");let l=v.parseAxisParam(i,r.shape)[0],u=n.data.get(s.dataId).values,p=r.shape[l];for(let w=0;w=0,()=>`GatherV2: the index value ${I} is not in [0, ${p-1}]`)}let d=o;o==null&&(d=0);let c=v.sizeFromShape(s.shape),h=N.segment_util.collectGatherOpShapeInfo(r,s,l,d),m=ft({inputs:{x:r},backend:n,attrs:{shape:[h.batchSize,h.outerSize,h.dimSize,h.sliceSize]}}),f=ft({inputs:{x:s},backend:n,attrs:{shape:[h.batchSize,c/h.batchSize]}}),g=[h.batchSize,h.outerSize,c/h.batchSize,h.sliceSize],b=n.bufferSync(f),y=n.bufferSync(m),x=vC(y,b,g);return n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(f),n.makeTensorInfo(h.outputShape,x.dtype,x.values)}var q8={kernelName:Ql,backendName:"cpu",kernelFunc:j8};function K8(e){let{inputs:t,backend:n}=e,{input:a}=t,r=v.sizeFromShape(a.shape),s=a.shape[a.shape.length-1],i=r/s,o=ft({inputs:{x:a},backend:n,attrs:{shape:[i,s]}}),l=a_(o,!0,n),u=ft({inputs:{x:l},backend:n,attrs:{shape:a.shape}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(l),u}var X8={kernelName:Tm,backendName:"cpu",kernelFunc:K8},Y8=rt(nu,e=>Number.isFinite(e)?1:0,"bool"),Z8={kernelName:nu,backendName:"cpu",kernelFunc:Y8},J8=rt(au,e=>Math.abs(e)===1/0?1:0,"bool"),Q8={kernelName:au,backendName:"cpu",kernelFunc:J8},eK=rt(ru,e=>Number.isNaN(e)?1:0,"bool"),tK={kernelName:ru,backendName:"cpu",kernelFunc:eK};function nK(e){let{backend:t,attrs:n}=e,{start:a,stop:r,num:s}=n,i=TC(a,r,s);return t.makeTensorInfo([i.length],"float32",i)}var aK={kernelName:Cm,backendName:"cpu",kernelFunc:nK},rK=rt(ou,e=>Math.log1p(e)),sK={kernelName:ou,backendName:"cpu",kernelFunc:rK},iK=Vt((e,t)=>e&&t),oK=nn(lu,iK,null,"bool"),lK={kernelName:lu,backendName:"cpu",kernelFunc:oK},uK=rt(uu,e=>e?0:1,"bool"),pK={kernelName:uu,backendName:"cpu",kernelFunc:uK},cK=Vt((e,t)=>e||t),dK=nn(pu,cK,null,"bool"),hK={kernelName:pu,backendName:"cpu",kernelFunc:dK};function mK(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{depthRadius:s,bias:i,alpha:o,beta:l}=a;ge(r,"LRN");let u=r.shape[3],p=u-1,d=n.data.get(r.dataId).values,c=v.sizeFromShape(r.shape),h=new Float32Array(c);function m(f){let g=f%u,b=f-g+Math.max(0,g-s),y=f-g+Math.min(g+s,p),x=0;for(;b<=y;b++){let w=d[b];x+=w*w}return x}for(let f=0;f`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${u}'`);let p=N.computePool2DInfo(r.shape,s,i,u,o,l),d;if(p.filterWidth===1&&p.filterHeight===1&&v.arraysEqual(p.inShape,p.outShape))d=pr({inputs:{x:r},backend:n});else{let c=n.data.get(r.dataId).values,h=v.computeStrides(r.shape),m=j0(c,r.shape,r.dtype,h,p,"max");d=n.makeTensorInfo(p.outShape,r.dtype,m.values)}return d}var vK={kernelName:zi,backendName:"cpu",kernelFunc:xK};function wK(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l,dataFormat:u}=a;ge(r,"maxPool3d");let p=N.computePool3DInfo(r.shape,s,i,1,o,l,u),d=n.data.get(r.dataId).values,c=e_(d,r.shape,r.dtype,v.computeStrides(r.shape),p,"max");return n.makeTensorInfo(c.shape,"float32",c.values)}var kK={kernelName:yc,backendName:"cpu",kernelFunc:wK};function IK(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,{filterSize:i,strides:o,pad:l,dimRoundingMode:u}=a;ge([r,s],"maxPool3DGrad");let p=N.computePool3DInfo(s.shape,i,o,1,l,u),d=n.bufferSync(s),c=p5(d,p),h=p.strideDepth,m=p.strideHeight,f=p.strideWidth,g=p.dilationDepth,b=p.dilationHeight,y=p.dilationWidth,x=p.effectiveFilterDepth,w=p.effectiveFilterHeight,I=p.effectiveFilterWidth,T=x-1-p.padInfo.front,C=I-1-p.padInfo.left,E=w-1-p.padInfo.top,A=Oe(s.shape,"float32"),R=n.bufferSync(r);for(let F=0;F=p.outDepth||Math.floor(ee)!==ee))for(let ae=0;ae=p.outHeight||Math.floor(te)!==te))for(let le=0;le=p.outWidth||Math.floor(ie)!==ie)continue;let be=x*w*I-1-c.get(F,ee,te,ie,S),ue=Q*w*I+ae*I+le,xe=be===ue?1:0;xe!==0&&(Z+=R.get(F,ee,te,ie,S)*xe)}}}A.set(Z,F,M,B,U,S)}return n.makeTensorInfo(A.shape,A.dtype,A.values)}var SK={kernelName:Am,backendName:"cpu",kernelFunc:IK};function TK(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s,output:i}=t,o=s;ge([s,i],"maxPoolGrad");let{filterSize:l,strides:u,pad:p,dimRoundingMode:d}=a,c=N.computePool2DInfo(o.shape,l,u,1,p,d),h=n.data.get(o.dataId).values,m=Oe(c.outShape,o.dtype,QC(h,o.shape,o.dtype,c).values),f=c.strideHeight,g=c.strideWidth,b=c.dilationHeight,y=c.dilationWidth,x=c.effectiveFilterHeight,w=c.effectiveFilterWidth,I=w-1-c.padInfo.left,T=x-1-c.padInfo.top,C=Oe(o.shape,"float32"),E=n.data.get(r.dataId).values,A=Oe(r.shape,"float32",E);for(let R=0;R=c.outHeight||Math.floor(K)!==K))for(let Z=0;Z=c.outWidth||Math.floor(Q)!==Q)continue;let ee=x*w-1-m.get(R,K,Q,F),ae=q*w+Z,te=ee===ae?1:0;te!==0&&(G+=A.get(R,K,Q,F)*te)}}C.set(G,R,S,M,F)}return n.makeTensorInfo(C.shape,C.dtype,C.values)}var NK={kernelName:Em,backendName:"cpu",kernelFunc:TK};function CK(e,t,n,a,r){let s=v.computeStrides(t),i=j0(e,t,n,s,r,"max"),o=QC(e,t,n,r,!0,a);return[i.values,o.values]}var _K={kernelName:$m,backendName:"cpu",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:a}=e,{filterSize:r,strides:s,pad:i,includeBatchInIndex:o}=t,l=n;ge(a,"MaxPoolWithArgmax");let u=l.data.get(a.dataId).values,p=N.computePool2DInfo(a.shape,r,s,[1,1],i),[d,c]=CK(u,a.shape,a.dtype,o,p),h=l.write(d,p.outShape,a.dtype),m=l.write(c,p.outShape,a.dtype);return[{dataId:h,shape:p.outShape,dtype:a.dtype},{dataId:m,shape:p.outShape,dtype:"int32"}]}};function EK(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=v.parseAxisParam(s,r.shape),l=N.computeOutAndReduceShapes(r.shape,o)[1],u=v.sizeFromShape(l),p=[],d=n.makeTensorInfo([],"float32",new Float32Array([u]));p.push(d);let c=ds({inputs:{x:r},backend:n,attrs:{dtype:"float32"}});p.push(c);let h=q0({inputs:{a:c,b:d},backend:n});p.push(h);let m=sd({inputs:{x:h},backend:n,attrs:{axis:s,keepDims:i}});return p.forEach(f=>n.disposeIntermediateTensorInfo(f)),m}var AK={kernelName:Wi,backendName:"cpu",kernelFunc:EK};function $K(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a;ge(r,"min");let o=v.parseAxisParam(s,r.shape),l=o,u=N.getAxesPermutation(l,r.shape.length),p=r;u!=null&&(p=Vn({inputs:{x:r},backend:n,attrs:{perm:u}}),l=N.getInnerMostAxes(l.length,r.shape.length)),N.assertAxesAreInnerMostDims("min",l,p.shape.length);let[d,c]=N.computeOutAndReduceShapes(p.shape,l),h=v.sizeFromShape(c),m=v.makeZerosTypedArray(v.sizeFromShape(d),p.dtype),f=n.data.get(p.dataId).values;for(let b=0;by[0]+r.shape[x]+y[1]),l=s.map(y=>y[0]),u=s.map((y,x)=>y[0]+r.shape[x]),p=i==="reflect"?0:1,d=n.data.get(r.dataId).values,c=r.shape.length,h=v.computeStrides(r.shape),m=v.sizeFromShape(o),f=o.length,g=v.computeStrides(o),b=v.getTypedArrayFromDType(r.dtype,m);for(let y=0;y=u[I]&&(x[I]=(u[I]-1)*2-x[I]+p);x=x.map((I,T)=>I-l[T]);let w=v.locToIndex(x,c,h);b[y]=d[w]}return{dataId:n.write(b,o,r.dtype),shape:o,dtype:r.dtype}}var RK={kernelName:Ui,backendName:"cpu",kernelFunc:DK},MK=Vt((e,t)=>{let n=e%t;return e<0&&t<0||e>=0&&t>=0?n:(n+t)%t}),PK=nn(cu,MK),OK={kernelName:cu,backendName:"cpu",kernelFunc:PK},LK=ms(im());function s_(e){let{inputs:t,backend:n,attrs:a}=e,{logits:r}=t,{dim:s}=a,i=r.shape.length,o=s;if(o===-1&&(o=i-1),o!==i-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${i} and dim was ${o}`);let l=v.parseAxisParam([o],r.shape),u=r_({inputs:{x:r},backend:n,attrs:{reductionIndices:l,keepDims:!1}}),p=N.expandShapeToKeepDim(u.shape,l),d=ft({inputs:{x:u},backend:n,attrs:{shape:p}}),c=H0({inputs:{a:r,b:d},backend:n}),h=gC({inputs:{x:c},backend:n}),m=sd({inputs:{x:h},backend:n,attrs:{axis:l,keepDims:!1}}),f=ft({inputs:{x:m},backend:n,attrs:{shape:p}}),g=q0({inputs:{a:h,b:f},backend:n});return n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(f),g}var zK={kernelName:oo,backendName:"cpu",kernelFunc:s_};function WK(e){let{inputs:t,backend:n,attrs:a}=e,{logits:r}=t,{numSamples:s,seed:i,normalized:o}=a;ge(r,"multinomial");let l=o?r:s_({inputs:{logits:r},backend:n,attrs:{dim:-1}}),u=l.shape[0],p=l.shape[1],d=n.data.get(l.dataId).values,c=[u,s],h=v.makeZerosTypedArray(v.sizeFromShape(c),"int32");for(let m=0;m=0&&d[c]{v.assertShapesMatch(s,p.shape,"All tensors passed to stack must have matching shapes"),v.assert(i===p.dtype,()=>"All tensors passed to stack must have matching dtypes")});let o=[],l=t.map(p=>{let d=em({inputs:{input:p},backend:n,attrs:{dim:r}});return o.push(d),d}),u=Al({inputs:l,backend:n,attrs:{axis:r}});return o.forEach(p=>n.disposeIntermediateTensorInfo(p)),u}var tX={kernelName:yu,backendName:"cpu",kernelFunc:o_};function nX(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{paddings:s,constantValue:i}=a;ge(r,"pad");let o=s.map((b,y)=>b[0]+r.shape[y]+b[1]),l=s.map(b=>b[0]),u=n.data.get(r.dataId).values,p=v.sizeFromShape(r.shape),d=r.shape.length,c=v.computeStrides(r.shape),h=v.sizeFromShape(o),m=o.length,f=v.computeStrides(o),g=v.getTypedArrayFromDType(r.dtype,h);i!==0&&g.fill(i);for(let b=0;bw+l[I]),x=v.locToIndex(y,m,f);g[x]=u[b]}return{dataId:n.write(g,o,r.dtype),shape:o,dtype:r.dtype}}var l_={kernelName:ji,backendName:"cpu",kernelFunc:nX},aX=Vt((e,t)=>Math.pow(e,t)),rX=nn(qi,aX),sX={kernelName:qi,backendName:"cpu",kernelFunc:rX};function iX(e){let{inputs:t,backend:n,attrs:a}=e,{paramsNestedSplits:r,paramsDenseValues:s,indices:i}=t,{outputRaggedRank:o}=a,l=r.map(b=>n.data.get(b.dataId).values),u=r.map(b=>b.shape),p=n.data.get(s.dataId).values,d=n.data.get(i.dataId).values,[c,h,m]=DC(l,u,p,s.shape,s.dtype,d,i.shape,o),f=c.map(b=>n.makeTensorInfo([b.length],"int32",b)),g=n.makeTensorInfo(m,s.dtype,h);return f.concat([g])}var oX={kernelName:Dm,backendName:"cpu",kernelFunc:iX};function lX(e){let{inputs:t,backend:n}=e,{starts:a,limits:r,deltas:s}=t,i=n.data.get(a.dataId).values,o=n.data.get(r.dataId).values,l=n.data.get(s.dataId).values,[u,p]=RC(i,a.shape,a.dtype,o,r.shape,l,s.shape),d=n.makeTensorInfo([u.length],"int32",u),c=n.makeTensorInfo([p.length],a.dtype,p);return[d,c]}var uX={kernelName:Rm,backendName:"cpu",kernelFunc:lX};function pX(e){let{inputs:t,backend:n,attrs:a}=e,{shape:r,values:s,defaultValue:i,rowPartitionTensors:o}=t,{rowPartitionTypes:l}=a,u=n.data.get(r.dataId).values,p=n.data.get(s.dataId).values,d=n.data.get(i.dataId).values,c=o.map(g=>n.data.get(g.dataId).values),h=o.map(g=>g.shape),[m,f]=MC(u,r.shape,p,s.shape,s.dtype,d,i.shape,c,h,l);return n.makeTensorInfo(m,s.dtype,f)}var cX={kernelName:Mm,backendName:"cpu",kernelFunc:pX};function dX(e){let{backend:t,attrs:n}=e,{start:a,stop:r,dtype:s,step:i}=n,o=W0(a,r,i,s);return t.makeTensorInfo([o.length],s,o)}var hX={kernelName:xc,backendName:"cpu",kernelFunc:dX},mX=rt(xu,e=>1/e),fX={kernelName:xu,backendName:"cpu",kernelFunc:mX};function gX(e){let{inputs:t,backend:n,attrs:a}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=a;ge(r,"resizeBilinear");let l=v.computeStrides(r.shape),[u,p]=o,[d,c,h,m]=r.shape,f=n.data.get(r.dataId).values,g=new Float32Array(v.sizeFromShape([d,u,p,m])),b=[s&&u>1?c-1:c,s&&p>1?h-1:h],y=[s&&u>1?u-1:u,s&&p>1?p-1:p],x=0,w=b[0]/y[0],I=b[1]/y[1];for(let T=0;T1?u-1:u,i&&h>1?p-1:p],g=[i&&c>1?c-1:c,i&&h>1?h-1:h],b=f[0]/g[0],y=f[1]/g[1],x=n.data.get(s.dataId).values,w=0;for(let I=0;I1?c-1:c,s&&p>1?h-1:h],y=[s&&u>1?u-1:u,s&&p>1?p-1:p],x=b[0]/y[0],w=b[1]/y[1],I=0;for(let T=0;T1?p-1:p,i&&m>1?d-1:d],y=[i&&h>1?h-1:h,i&&m>1?m-1:m],x=b[0]/y[0],w=b[1]/y[1],I=1/x,T=1/w,C=Math.ceil(I)*2+2,E=Math.ceil(T)*2+2;for(let A=0;A=h)continue;let te=R+ae*l[1],le=ae*x,ie=Math.min(p-1,i?Math.round(le):Math.floor(le));if(F===ie)for(let be=0;be=m)continue;let xe=te+ue*l[2],Ie=ue*w,Se=Math.min(d-1,i?Math.round(Ie):Math.floor(Ie));U===Se&&(Q+=g[xe+Z])}}f[G+Z]=Q}}}}return n.makeTensorInfo(r.shape,r.dtype,f)}var IX={kernelName:Om,backendName:"cpu",kernelFunc:kX};function SX(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dims:s}=a;ge(r,"reverse");let i=r.shape.length,o=v.parseAxisParam(s,r.shape);if(i===0)return pr({inputs:{x:r},backend:n});let l=new Ht(r.shape,r.dtype),u=n.bufferSync(r);for(let p=0;pc[h]=r.shape[h]-1-c[h]),l.set(u.get(...c),...d)}return n.makeTensorInfo(l.shape,l.dtype,l.values)}var TX={kernelName:eo,backendName:"cpu",kernelFunc:SX},NX={kernelName:Pu,backendName:"cpu",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{image:a}=e,{radians:r,fillValue:s,center:i}=t,o=n,l=v.getTypedArrayFromDType(a.dtype,v.sizeFromShape(a.shape)),[u,p,d,c]=a.shape,[h,m]=N.getImageCenter(i,p,d),f=255,g=Math.sin(r),b=Math.cos(r),y=o.data.get(a.dataId).values;for(let x=0;x=0&&M=0&&B{let t=Math.floor(e);return e-t<.5?Math.floor(e):e-t>.5?Math.ceil(e):t%2===0?t:t+1}),_X={kernelName:to,backendName:"cpu",kernelFunc:CX};function EX(e){let{inputs:t,backend:n,attrs:a}=e,{indices:r,updates:s}=t,{shape:i}=a,{sliceRank:o,numUpdates:l,sliceSize:u,strides:p,outputSize:d}=N.calculateShapes(s,r,i),c=!0,h=n.bufferSync(r),m=n.bufferSync(s),f=ll(h,m,i,d,u,l,o,p,0,c);return n.makeTensorInfo(i,f.dtype,f.values)}var AX={kernelName:wu,backendName:"cpu",kernelFunc:EX};function $X(e,t){let n=0,a=e.length,r=0;for(;n1||r.shape.length===1?1:v.sizeFromShape(r.shape.slice(1));for(let m=0;me>=0?zX*e:LX*(Math.exp(e)-1)),BX={kernelName:Iu,backendName:"cpu",kernelFunc:WX},VX=rt(Nu,e=>e<0?-1:e>0?1:0),UX={kernelName:Nu,backendName:"cpu",kernelFunc:VX},GX=rt(ao,e=>Math.sin(e)),HX={kernelName:ao,backendName:"cpu",kernelFunc:GX},jX=rt(Tu,e=>Math.sinh(e)),qX={kernelName:Tu,backendName:"cpu",kernelFunc:jX},KX=11920928955078125e-23,pI=Math.log(KX)+2,XX=rt(Cu,e=>{let t=e>-pI,n=eNumber(g)))),n.makeTensorInfo([f.length],a.dtype,new Int32Array(f))]}var BX={kernelName:yc,backendName:"cpu",kernelFunc:zX};function WX(e){let{inputs:t,backend:n}=e,{inputIndices:a,inputShape:r,newShape:s}=t;if(a.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape + ${i.shape}`);let o=n.data.get(a.dataId).values,l=n.data.get(r.dataId).values,u=n.data.get(s.dataId).values,p=n.data.get(i.dataId).values[0],[d,c,h,m,f]=LC(o,a.shape,a.dtype,l,r.dtype,u,p);return[n.makeTensorInfo(c,a.dtype,d),n.makeTensorInfo([c[0]],r.dtype,h),n.makeTensorInfo([m.length],"bool",new Uint8Array(m.map(g=>Number(g)))),n.makeTensorInfo([f.length],a.dtype,new Int32Array(f))]}var eY={kernelName:vc,backendName:"cpu",kernelFunc:QX};function tY(e){let{inputs:t,backend:n}=e,{inputIndices:a,inputShape:r,newShape:s}=t;if(a.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape ${a.shape}`);if(r.shape.length!==1)throw new Error(`Input shape should be a vector but received shape - ${r.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=Array.from(n.data.get(r.dataId).values),o=n.data.get(a.dataId).values,l=Array.from(n.data.get(s.dataId).values),[u,p,d]=$C(o,a.shape,a.dtype,i,l);return[n.makeTensorInfo(p,a.dtype,u),n.makeTensorInfo([d.length],s.dtype,new Int32Array(d))]}var VX={kernelName:_u,backendName:"cpu",kernelFunc:WX};function UX(e){let{inputs:t,backend:n}=e,{data:a,indices:r,segmentIds:s}=t;if(a.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape + ${r.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=Array.from(n.data.get(r.dataId).values),o=n.data.get(a.dataId).values,l=Array.from(n.data.get(s.dataId).values),[u,p,d]=zC(o,a.shape,a.dtype,i,l);return[n.makeTensorInfo(p,a.dtype,u),n.makeTensorInfo([d.length],s.dtype,new Int32Array(d))]}var nY={kernelName:Au,backendName:"cpu",kernelFunc:tY};function aY(e){let{inputs:t,backend:n}=e,{data:a,indices:r,segmentIds:s}=t;if(a.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape ${r.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape - ${s.shape}`);if(r.shape[0]!==s.shape[0])throw new Error("segmentIds and indices should have same size.");let i=n.data.get(a.dataId).values,o=n.data.get(r.dataId).values,l=n.data.get(s.dataId).values,[u,p]=O0(i,a.shape,a.dtype,o,l,!0);return n.makeTensorInfo(p,a.dtype,u)}var GX={kernelName:xc,backendName:"cpu",kernelFunc:UX};function HX(e){let{inputs:t,backend:n}=e,{data:a,indices:r,segmentIds:s}=t;if(a.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape + ${s.shape}`);if(r.shape[0]!==s.shape[0])throw new Error("segmentIds and indices should have same size.");let i=n.data.get(a.dataId).values,o=n.data.get(r.dataId).values,l=n.data.get(s.dataId).values,[u,p]=B0(i,a.shape,a.dtype,o,l,!0);return n.makeTensorInfo(p,a.dtype,u)}var rY={kernelName:wc,backendName:"cpu",kernelFunc:aY};function sY(e){let{inputs:t,backend:n}=e,{data:a,indices:r,segmentIds:s}=t;if(a.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape ${r.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape - ${s.shape}`);if(r.shape[0]!==s.shape[0])throw new Error("segmentIds and indices should have same size.");let i=n.data.get(a.dataId).values,o=n.data.get(r.dataId).values,l=n.data.get(s.dataId).values,[u,p]=O0(i,a.shape,a.dtype,o,l);return n.makeTensorInfo(p,a.dtype,u)}var jX={kernelName:vc,backendName:"cpu",kernelFunc:HX};function qX(e){let{inputs:t,backend:n,attrs:a}=e,{sparseIndices:r,sparseValues:s,defaultValue:i}=t,{outputShape:o}=a,{sliceRank:l,numUpdates:u,sliceSize:p,strides:d,outputSize:c}=N.calculateShapes(s,r,o),h=!1,m=n.bufferSync(r),f;switch(s.dtype){case"bool":{let g=n.bufferSync(s),b=Boolean(n.data.get(i.dataId).values[0]);f=ol(m,g,o,c,p,u,l,d,b,h);break}case"float32":{let g=n.bufferSync(s),b=n.data.get(i.dataId).values[0];f=ol(m,g,o,c,p,u,l,d,b,h);break}case"int32":{let g=n.bufferSync(s),b=n.data.get(i.dataId).values[0];f=ol(m,g,o,c,p,u,l,d,b,h);break}case"string":{let g=n.bufferSync(s),b=v.decodeString(n.data.get(i.dataId).values[0]);f=ol(m,g,o,c,p,u,l,d,b,h);break}default:throw new Error(`Unsupported type ${s.dtype}`)}return n.makeTensorInfo(o,f.dtype,f.values)}var KX={kernelName:Lm,backendName:"cpu",kernelFunc:qX};function XX(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=a,o=v.parseAxisParam(i,r.shape)[0],l=N.prepareSplitSize(r,s,o),u=new Array(r.shape.length).fill(0),p=r.shape.slice();return l.map(d=>{let c=[...p];c[o]=d;let h=pi({inputs:{x:r},backend:n,attrs:{begin:u,size:c}});return u[o]+=d,h})}var YX={kernelName:Cu,backendName:"cpu",kernelFunc:XX},ZX={kernelName:wc,backendName:"cpu",kernelFunc:({inputs:e,backend:t})=>{let{x:n}=e,a=t;ge(n,"square");let r=a.data.get(n.dataId).values,s=new Float32Array(r.length);for(let i=0;i{let n=t;return isNaN(e)?NaN:e>0?1:n.alpha}),QX={kernelName:ys,backendName:"cpu",kernelFunc:JX};function eY(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:p,newAxisMask:d,shrinkAxisMask:c}=a;ge(r,"stridedSlice");let{finalShapeSparse:h,finalShape:m,isIdentity:f,sliceDim0:g,isSimpleSlice:b,begin:y,end:x,strides:w}=jt.sliceInfo(r.shape,s,i,o,l,u,p,d,c),I;if(f)I=ft({inputs:{x:r},backend:n,attrs:{shape:m}});else if(g||b){v.assert(r.shape.length>=1,()=>`Input must have rank at least 1, got: ${r.shape.length}`);let T=jt.computeOutShape(y,x,w),C=pi({inputs:{x:r},backend:n,attrs:{begin:y,size:T}});I=ft({inputs:{x:C},backend:n,attrs:{shape:m}}),n.disposeIntermediateTensorInfo(C)}else{let T=n.bufferSync(r),C=DC(h,T,w,y);I=n.makeTensorInfo(m,C.dtype,C.values)}return I}var tY={kernelName:Eu,backendName:"cpu",kernelFunc:eY};function nY(e){let{inputs:t,backend:n,attrs:a}=e,{separator:r,nGramWidths:s,leftPad:i,rightPad:o,padWidth:l,preserveShortSequences:u}=a,{data:p,dataSplits:d}=t,c=n.data.get(p.dataId).values,h=n.data.get(d.dataId).values,[m,f]=L0(c,h,r,s,i,o,l,u);return[n.makeTensorInfo([m.length],"string",m),n.makeTensorInfo(d.shape,"int32",f)]}var aY={kernelName:kc,backendName:"cpu",kernelFunc:nY};function rY(e){let{inputs:t,backend:n,attrs:a}=e,{skipEmpty:r}=a,{input:s,delimiter:i}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(i.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${i.shape}`);let o=n.data.get(s.dataId).values,l=n.data.get(i.dataId).values[0],[u,p,d]=z0(o,l,r),c=p.length;return[n.makeTensorInfo([c,2],"int32",u),n.makeTensorInfo([c],"string",p),n.makeTensorInfo([2],"int32",new Int32Array(d))]}var sY={kernelName:Ic,backendName:"cpu",kernelFunc:rY};function iY(e){let{inputs:t,backend:n,attrs:a}=e,{numBuckets:r}=a,{input:s}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(r<=0)throw new Error("Number of buckets must be at least 1");let i=n.data.get(s.dataId).values,o=B0(i,r);return n.makeTensorInfo(s.shape,"int32",o)}var oY={kernelName:Sc,backendName:"cpu",kernelFunc:iY},lY=rt(po,e=>Math.tan(e)),uY={kernelName:po,backendName:"cpu",kernelFunc:lY},pY=rt(co,e=>Math.tanh(e)),cY={kernelName:co,backendName:"cpu",kernelFunc:pY};function dY(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{reps:s}=a;ge(r,"tile");let i=MC(n.bufferSync(r),s);return n.makeTensorInfo(i.shape,i.dtype,i.values)}var hY={kernelName:bs,backendName:"cpu",kernelFunc:dY};function mY(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{k:s,sorted:i}=a;ge(r,"topk");let o=n.data.get(r.dataId).values,[l,u]=OC(o,r.shape,r.dtype,s,i);return[n.makeTensorInfo(l.shape,l.dtype,l.values),n.makeTensorInfo(u.shape,u.dtype,u.values)]}var fY={kernelName:Au,backendName:"cpu",kernelFunc:mY};function gY(e){let{inputs:t,attrs:n,backend:a}=e,{image:r,transforms:s}=t,{interpolation:i,fillMode:o,fillValue:l,outputShape:u}=n,[p,d,c,h]=r.shape,[m,f]=u!=null?u:[d,c],g=[p,m,f,h],b=v.computeStrides(r.shape),y=b[0],x=b[1],w=b[2],I=v.computeStrides(g),T=I[0],C=I[1],E=I[2],A=v.getTypedArrayFromDType(r.dtype,v.sizeFromShape(g));A.fill(l);let R=a.data.get(r.dataId).values,F=a.data.get(s.dataId).values;for(let S=0;St-1)if(t<=1)n=0;else{let a=2*t;n-=a*Math.trunc(n/a),n>=t&&(n=a-n-1)}return v.clamp(0,n,t-1)}function xY(e,t){let n=e;if(n<0)if(t<=1)n=0;else{let a=t-1;n+=t*(Math.trunc(-n/a)+1)}else if(n>t-1)if(t<=1)n=0;else{let a=t-1;n-=t*Math.trunc(n/a)}return v.clamp(0,n,t-1)}function vY(e,t){return e}function wY(e,t){return v.clamp(0,e,t-1)}function Pp(e,t,n,a,r,s,i,o,l,u,p){let d=i*a+o*r+l*s+u;return 0<=o&&on.disposeIntermediateTensorInfo(m)),h}var EY={kernelName:Tc,backendName:"cpu",kernelFunc:_Y},AY=[Nq,hj,_q,Aq,xj,Fq,Rq,Pq,Lq,Bq,Vq,Gq,jq,Xq,Zq,e5,n5,r5,i5,Sq,l5,p5,d5,m5,bj,wj,g5,mj,y5,v5,w5,I5,T5,C5,E5,$5,D5,M5,O5,z5,W5,U5,H5,j5,K5,Y5,J5,Q5,e8,t8,r8,bq,i8,kj,m8,Ij,f8,Tj,w8,k8,S8,Cj,C8,E8,$8,D8,M8,Ej,$j,fj,O8,x5,z8,W8,U8,yq,Dj,Mj,H8,Oj,q8,Y8,J8,tK,aK,sK,iK,zj,lK,pK,dK,mK,gK,yK,vK,Wj,kK,TK,EK,Uj,Hj,FK,MK,LK,qj,BK,VK,UK,e_,qK,vq,Yj,XK,ZK,QK,gj,px,tX,wq,kq,Iq,aX,sX,oX,uX,cX,dX,mX,rq,gX,wX,IX,CX,iq,EX,$X,DX,oq,CK,PX,LX,BX,VX,GX,jX,KX,YX,pq,ZX,dq,QX,tY,aY,sY,oY,gq,n8,uY,cY,hY,fY,bY,Kj,TY,CY,EY,WK];for(let e of AY)Nc(e);var t_={};_e(t_,{assertNotComplex:()=>Ku,bindCanvasToFramebuffer:()=>WY,bindColorTextureToFramebuffer:()=>wh,bindTextureToProgramUniformSampler:()=>b_,bindTextureUnit:()=>m_,bindVertexBufferToProgramAttribute:()=>dx,callAndCheck:()=>me,canBeRepresented:()=>a_,createFragmentShader:()=>i_,createFramebuffer:()=>h_,createProgram:()=>o_,createStaticIndexBuffer:()=>p_,createStaticVertexBuffer:()=>u_,createTexture:()=>c_,createVertexShader:()=>s_,getBatchDim:()=>ci,getExtensionOrThrow:()=>Op,getFramebufferErrorMessage:()=>y_,getMaxTexturesInShader:()=>k_,getNumChannels:()=>zY,getProgramUniformLocation:()=>g_,getProgramUniformLocationOrThrow:()=>f_,getRowsCols:()=>di,getShapeAs3D:()=>kh,getTextureShapeFromLogicalShape:()=>v_,getWebGLDisjointQueryTimerVersion:()=>I_,getWebGLErrorMessage:()=>r_,getWebGLMaxTextureSize:()=>w_,hasExtension:()=>da,isCapableOfRenderingToFloatTexture:()=>S_,isDownloadFloatTextureEnabled:()=>T_,isReshapeFree:()=>ac,isWebGLFenceEnabled:()=>N_,isWebGLVersionEnabled:()=>mx,linkProgram:()=>l_,logShaderSourceAndInfoLog:()=>j0,resetMaxTextureSize:()=>VY,resetMaxTexturesInShader:()=>UY,unbindColorTextureFromFramebuffer:()=>hx,unbindTextureUnit:()=>BY,validateFramebuffer:()=>Lp,validateProgram:()=>vh,validateTextureSize:()=>d_});var Gs={},hh={alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0};function n_(e,t){Gs[e]=t}function Ha(e,t){if(!(e in Gs)||t!=null){let a=FY(e,t);if(a!==null)Gs[e]=a;else return console.log("Could not get context for WebGL version",e),null}let n=Gs[e];return n==null||n.isContextLost()?(delete Gs[e],Ha(e)):(n.disable(n.DEPTH_TEST),n.disable(n.STENCIL_TEST),n.disable(n.BLEND),n.disable(n.DITHER),n.disable(n.POLYGON_OFFSET_FILL),n.disable(n.SAMPLE_COVERAGE),n.enable(n.SCISSOR_TEST),n.enable(n.CULL_FACE),n.cullFace(n.BACK),Gs[e])}function $Y(e){if(typeof OffscreenCanvas!="undefined"&&e===2)return new OffscreenCanvas(300,150);if(typeof document!="undefined")return document.createElement("canvas");throw new Error("Cannot create a canvas in this context")}function FY(e,t){if(e!==1&&e!==2)throw new Error("Cannot get WebGL rendering context, WebGL is disabled.");let n=t==null?$Y(e):t;return n.addEventListener("webglcontextlost",a=>{a.preventDefault(),delete Gs[e]},!1),H().getBool("SOFTWARE_WEBGL_ENABLED")&&(hh.failIfMajorPerformanceCaveat=!1),e===1?n.getContext("webgl",hh)||n.getContext("experimental-webgl",hh):n.getContext("webgl2",hh)}var nc;(function(e){e[e.DENSE=0]="DENSE",e[e.SHARED_BATCH=1]="SHARED_BATCH"})(nc||(nc={}));var ca;(function(e){e[e.RENDER=0]="RENDER",e[e.UPLOAD=1]="UPLOAD",e[e.PIXELS=2]="PIXELS",e[e.DOWNLOAD=3]="DOWNLOAD"})(ca||(ca={}));var on;(function(e){e[e.UNPACKED_FLOAT16=0]="UNPACKED_FLOAT16",e[e.UNPACKED_FLOAT32=1]="UNPACKED_FLOAT32",e[e.PACKED_4X1_UNSIGNED_BYTE=2]="PACKED_4X1_UNSIGNED_BYTE",e[e.PACKED_2X2_FLOAT32=3]="PACKED_2X2_FLOAT32",e[e.PACKED_2X2_FLOAT16=4]="PACKED_2X2_FLOAT16"})(on||(on={}));function sd(e,t){return[t,e]}function DY(e,t){return e*t}function mh(e){let t=v.sizeFromShape(e),n=Math.ceil(t/4);return v.sizeToSquarishShape(n)}function qu(e,t){return[Math.max(1,Math.ceil(t/2)),Math.max(1,Math.ceil(e/2))]}function RY(e,t){let[n,a]=qu(e,t);return n*a*4}function H0(e,t){let n=e,a,r,s,i,o,l,u,p,d,c;return H().getNumber("WEBGL_VERSION")===2?(a=n.R32F,r=n.R16F,s=n.RGBA16F,i=n.RGBA32F,o=n.RED,u=4,p=1,d=n.HALF_FLOAT,c=n.FLOAT,l=n.RGBA8):(a=e.RGBA,r=e.RGBA,s=e.RGBA,i=n.RGBA,o=e.RGBA,u=4,p=4,d=t!=null?t.HALF_FLOAT_OES:null,c=e.FLOAT,l=e.RGBA),{internalFormatFloat:a,internalFormatHalfFloat:r,internalFormatPackedHalfFloat:s,internalFormatPackedFloat:i,textureFormatFloat:o,downloadTextureFormat:l,downloadUnpackNumChannels:u,defaultNumChannels:p,textureTypeHalfFloat:d,textureTypeFloat:c}}function me(e,t){let n=t();return H().getBool("DEBUG")&&MY(e),n}function MY(e){let t=e.getError();if(t!==e.NO_ERROR)throw new Error("WebGL Error: "+r_(e,t))}var PY=596e-10,OY=65504;function a_(e){return!!(H().getBool("WEBGL_RENDER_FLOAT32_ENABLED")||e===0||PYe.getExtension(t),'Extension "'+t+'" not supported on this browser.')}function s_(e,t){let n=Rr(e,()=>e.createShader(e.VERTEX_SHADER),"Unable to create vertex WebGLShader.");if(me(e,()=>e.shaderSource(n,t)),me(e,()=>e.compileShader(n)),e.getShaderParameter(n,e.COMPILE_STATUS)===!1)throw console.log(e.getShaderInfoLog(n)),new Error("Failed to compile vertex shader.");return n}function i_(e,t){let n=Rr(e,()=>e.createShader(e.FRAGMENT_SHADER),"Unable to create fragment WebGLShader.");if(me(e,()=>e.shaderSource(n,t)),me(e,()=>e.compileShader(n)),H().get("ENGINE_COMPILE_ONLY"))return n;if(e.getShaderParameter(n,e.COMPILE_STATUS)===!1)throw j0(t,e.getShaderInfoLog(n)),new Error("Failed to compile fragment shader.");return n}var LY=/ERROR: [0-9]+:([0-9]+):/g;function j0(e,t){let n=LY.exec(t);if(n==null){console.log(`Couldn't parse line number in error: ${t}`),console.log(e);return}let a=+n[1],r=e.split(` + ${s.shape}`);if(r.shape[0]!==s.shape[0])throw new Error("segmentIds and indices should have same size.");let i=n.data.get(a.dataId).values,o=n.data.get(r.dataId).values,l=n.data.get(s.dataId).values,[u,p]=B0(i,a.shape,a.dtype,o,l);return n.makeTensorInfo(p,a.dtype,u)}var iY={kernelName:kc,backendName:"cpu",kernelFunc:sY};function oY(e){let{inputs:t,backend:n,attrs:a}=e,{sparseIndices:r,sparseValues:s,defaultValue:i}=t,{outputShape:o}=a,{sliceRank:l,numUpdates:u,sliceSize:p,strides:d,outputSize:c}=N.calculateShapes(s,r,o),h=!1,m=n.bufferSync(r),f;switch(s.dtype){case"bool":{let g=n.bufferSync(s),b=Boolean(n.data.get(i.dataId).values[0]);f=ll(m,g,o,c,p,u,l,d,b,h);break}case"float32":{let g=n.bufferSync(s),b=n.data.get(i.dataId).values[0];f=ll(m,g,o,c,p,u,l,d,b,h);break}case"int32":{let g=n.bufferSync(s),b=n.data.get(i.dataId).values[0];f=ll(m,g,o,c,p,u,l,d,b,h);break}case"string":{let g=n.bufferSync(s),b=v.decodeString(n.data.get(i.dataId).values[0]);f=ll(m,g,o,c,p,u,l,d,b,h);break}default:throw new Error(`Unsupported type ${s.dtype}`)}return n.makeTensorInfo(o,f.dtype,f.values)}var lY={kernelName:Wm,backendName:"cpu",kernelFunc:oY};function uY(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=a,o=v.parseAxisParam(i,r.shape)[0],l=N.prepareSplitSize(r,s,o),u=new Array(r.shape.length).fill(0),p=r.shape.slice();return l.map(d=>{let c=[...p];c[o]=d;let h=pi({inputs:{x:r},backend:n,attrs:{begin:u,size:c}});return u[o]+=d,h})}var pY={kernelName:Eu,backendName:"cpu",kernelFunc:uY},cY={kernelName:Ic,backendName:"cpu",kernelFunc:({inputs:e,backend:t})=>{let{x:n}=e,a=t;ge(n,"square");let r=a.data.get(n.dataId).values,s=new Float32Array(r.length);for(let i=0;i{let n=t;return isNaN(e)?NaN:e>0?1:n.alpha}),hY={kernelName:xs,backendName:"cpu",kernelFunc:dY};function mY(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:p,newAxisMask:d,shrinkAxisMask:c}=a;ge(r,"stridedSlice");let{finalShapeSparse:h,finalShape:m,isIdentity:f,sliceDim0:g,isSimpleSlice:b,begin:y,end:x,strides:w}=jt.sliceInfo(r.shape,s,i,o,l,u,p,d,c),I;if(f)I=ft({inputs:{x:r},backend:n,attrs:{shape:m}});else if(g||b){v.assert(r.shape.length>=1,()=>`Input must have rank at least 1, got: ${r.shape.length}`);let T=jt.computeOutShape(y,x,w),C=pi({inputs:{x:r},backend:n,attrs:{begin:y,size:T}});I=ft({inputs:{x:C},backend:n,attrs:{shape:m}}),n.disposeIntermediateTensorInfo(C)}else{let T=n.bufferSync(r),C=BC(h,T,w,y);I=n.makeTensorInfo(m,C.dtype,C.values)}return I}var fY={kernelName:$u,backendName:"cpu",kernelFunc:mY};function gY(e){let{inputs:t,backend:n,attrs:a}=e,{separator:r,nGramWidths:s,leftPad:i,rightPad:o,padWidth:l,preserveShortSequences:u}=a,{data:p,dataSplits:d}=t,c=n.data.get(p.dataId).values,h=n.data.get(d.dataId).values,[m,f]=V0(c,h,r,s,i,o,l,u);return[n.makeTensorInfo([m.length],"string",m),n.makeTensorInfo(d.shape,"int32",f)]}var bY={kernelName:Sc,backendName:"cpu",kernelFunc:gY};function yY(e){let{inputs:t,backend:n,attrs:a}=e,{skipEmpty:r}=a,{input:s,delimiter:i}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(i.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${i.shape}`);let o=n.data.get(s.dataId).values,l=n.data.get(i.dataId).values[0],[u,p,d]=U0(o,l,r),c=p.length;return[n.makeTensorInfo([c,2],"int32",u),n.makeTensorInfo([c],"string",p),n.makeTensorInfo([2],"int32",new Int32Array(d))]}var xY={kernelName:Tc,backendName:"cpu",kernelFunc:yY};function vY(e){let{inputs:t,backend:n,attrs:a}=e,{numBuckets:r}=a,{input:s}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(r<=0)throw new Error("Number of buckets must be at least 1");let i=n.data.get(s.dataId).values,o=G0(i,r);return n.makeTensorInfo(s.shape,"int32",o)}var wY={kernelName:Nc,backendName:"cpu",kernelFunc:vY},kY=rt(po,e=>Math.tan(e)),IY={kernelName:po,backendName:"cpu",kernelFunc:kY},SY=rt(co,e=>Math.tanh(e)),TY={kernelName:co,backendName:"cpu",kernelFunc:SY};function NY(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{reps:s}=a;ge(r,"tile");let i=UC(n.bufferSync(r),s);return n.makeTensorInfo(i.shape,i.dtype,i.values)}var CY={kernelName:ys,backendName:"cpu",kernelFunc:NY};function _Y(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{k:s,sorted:i}=a;ge(r,"topk");let o=n.data.get(r.dataId).values,[l,u]=HC(o,r.shape,r.dtype,s,i);return[n.makeTensorInfo(l.shape,l.dtype,l.values),n.makeTensorInfo(u.shape,u.dtype,u.values)]}var EY={kernelName:Fu,backendName:"cpu",kernelFunc:_Y};function AY(e){let{inputs:t,attrs:n,backend:a}=e,{image:r,transforms:s}=t,{interpolation:i,fillMode:o,fillValue:l,outputShape:u}=n,[p,d,c,h]=r.shape,[m,f]=u!=null?u:[d,c],g=[p,m,f,h],b=v.computeStrides(r.shape),y=b[0],x=b[1],w=b[2],I=v.computeStrides(g),T=I[0],C=I[1],E=I[2],A=v.getTypedArrayFromDType(r.dtype,v.sizeFromShape(g));A.fill(l);let R=a.data.get(r.dataId).values,F=a.data.get(s.dataId).values;for(let S=0;St-1)if(t<=1)n=0;else{let a=2*t;n-=a*Math.trunc(n/a),n>=t&&(n=a-n-1)}return v.clamp(0,n,t-1)}function DY(e,t){let n=e;if(n<0)if(t<=1)n=0;else{let a=t-1;n+=t*(Math.trunc(-n/a)+1)}else if(n>t-1)if(t<=1)n=0;else{let a=t-1;n-=t*Math.trunc(n/a)}return v.clamp(0,n,t-1)}function RY(e,t){return e}function MY(e,t){return v.clamp(0,e,t-1)}function Lp(e,t,n,a,r,s,i,o,l,u,p){let d=i*a+o*r+l*s+u;return 0<=o&&on.disposeIntermediateTensorInfo(m)),h}var UY={kernelName:Cc,backendName:"cpu",kernelFunc:VY},GY=[Lq,Tj,Wq,Vq,$j,Gq,jq,Kq,Yq,Jq,e5,n5,r5,o5,u5,d5,m5,g5,y5,Pq,v5,k5,S5,N5,Ej,Dj,_5,Nj,A5,F5,D5,M5,O5,z5,B5,U5,H5,q5,X5,Z5,Q5,t8,a8,r8,i8,l8,p8,c8,d8,h8,g8,Eq,y8,Rj,N8,Mj,C8,Oj,D8,R8,P8,zj,z8,B8,U8,H8,q8,Bj,Uj,Cj,X8,$5,Z8,Q8,tK,Aq,Hj,qj,aK,Xj,sK,lK,pK,hK,fK,bK,yK,Zj,vK,kK,SK,NK,_K,AK,FK,Qj,RK,OK,BK,tq,aq,GK,qK,YK,sq,JK,eX,tX,l_,sX,Fq,lq,oX,uX,cX,hX,_j,dx,fX,Dq,Rq,Mq,bX,xX,wX,IX,TX,NX,_X,gq,AX,MX,OX,BX,yq,UX,HX,qX,xq,zK,YX,JX,eY,nY,rY,iY,lY,pY,kq,cY,Sq,hY,fY,bY,xY,wY,_q,m8,IY,TY,CY,EY,$Y,iq,zY,BY,UY,QK];for(let e of GY)_c(e);var u_={};Ae(u_,{assertNotComplex:()=>Yu,bindCanvasToFramebuffer:()=>tZ,bindColorTextureToFramebuffer:()=>kh,bindTextureToProgramUniformSampler:()=>T_,bindTextureUnit:()=>k_,bindVertexBufferToProgramAttribute:()=>mx,callAndCheck:()=>me,canBeRepresented:()=>c_,createFragmentShader:()=>m_,createFramebuffer:()=>w_,createProgram:()=>f_,createStaticIndexBuffer:()=>y_,createStaticVertexBuffer:()=>b_,createTexture:()=>x_,createVertexShader:()=>h_,getBatchDim:()=>ci,getExtensionOrThrow:()=>zp,getFramebufferErrorMessage:()=>N_,getMaxTexturesInShader:()=>A_,getNumChannels:()=>QY,getProgramUniformLocation:()=>S_,getProgramUniformLocationOrThrow:()=>I_,getRowsCols:()=>di,getShapeAs3D:()=>Bp,getTextureShapeFromLogicalShape:()=>__,getWebGLDisjointQueryTimerVersion:()=>$_,getWebGLErrorMessage:()=>d_,getWebGLMaxTextureSize:()=>E_,hasExtension:()=>da,isCapableOfRenderingToFloatTexture:()=>F_,isDownloadFloatTextureEnabled:()=>D_,isReshapeFree:()=>sc,isWebGLFenceEnabled:()=>R_,isWebGLVersionEnabled:()=>gx,linkProgram:()=>g_,logShaderSourceAndInfoLog:()=>Y0,resetMaxTextureSize:()=>nZ,resetMaxTexturesInShader:()=>aZ,unbindColorTextureFromFramebuffer:()=>fx,unbindTextureUnit:()=>eZ,validateFramebuffer:()=>Wp,validateProgram:()=>wh,validateTextureSize:()=>v_});var Gs={},mh={alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0};function p_(e,t){Gs[e]=t}function qa(e,t){if(!(e in Gs)||t!=null){let a=jY(e,t);if(a!==null)Gs[e]=a;else return console.log("Could not get context for WebGL version",e),null}let n=Gs[e];return n==null||n.isContextLost()?(delete Gs[e],qa(e)):(n.disable(n.DEPTH_TEST),n.disable(n.STENCIL_TEST),n.disable(n.BLEND),n.disable(n.DITHER),n.disable(n.POLYGON_OFFSET_FILL),n.disable(n.SAMPLE_COVERAGE),n.enable(n.SCISSOR_TEST),n.enable(n.CULL_FACE),n.cullFace(n.BACK),Gs[e])}function HY(e){if(typeof OffscreenCanvas!="undefined"&&e===2)return new OffscreenCanvas(300,150);if(typeof document!="undefined")return document.createElement("canvas");throw new Error("Cannot create a canvas in this context")}function jY(e,t){if(e!==1&&e!==2)throw new Error("Cannot get WebGL rendering context, WebGL is disabled.");let n=t==null?HY(e):t;return n.addEventListener("webglcontextlost",a=>{a.preventDefault(),delete Gs[e]},!1),H().getBool("SOFTWARE_WEBGL_ENABLED")&&(mh.failIfMajorPerformanceCaveat=!1),e===1?n.getContext("webgl",mh)||n.getContext("experimental-webgl",mh):n.getContext("webgl2",mh)}var rc;(function(e){e[e.DENSE=0]="DENSE",e[e.SHARED_BATCH=1]="SHARED_BATCH"})(rc||(rc={}));var ca;(function(e){e[e.RENDER=0]="RENDER",e[e.UPLOAD=1]="UPLOAD",e[e.PIXELS=2]="PIXELS",e[e.DOWNLOAD=3]="DOWNLOAD"})(ca||(ca={}));var ln;(function(e){e[e.UNPACKED_FLOAT16=0]="UNPACKED_FLOAT16",e[e.UNPACKED_FLOAT32=1]="UNPACKED_FLOAT32",e[e.PACKED_4X1_UNSIGNED_BYTE=2]="PACKED_4X1_UNSIGNED_BYTE",e[e.PACKED_2X2_FLOAT32=3]="PACKED_2X2_FLOAT32",e[e.PACKED_2X2_FLOAT16=4]="PACKED_2X2_FLOAT16"})(ln||(ln={}));function id(e,t){return[t,e]}function qY(e,t){return e*t}function fh(e){let t=v.sizeFromShape(e),n=Math.ceil(t/4);return v.sizeToSquarishShape(n)}function Xu(e,t){return[Math.max(1,Math.ceil(t/2)),Math.max(1,Math.ceil(e/2))]}function KY(e,t){let[n,a]=Xu(e,t);return n*a*4}function X0(e,t){let n=e,a,r,s,i,o,l,u,p,d,c;return H().getNumber("WEBGL_VERSION")===2?(a=n.R32F,r=n.R16F,s=n.RGBA16F,i=n.RGBA32F,o=n.RED,u=4,p=1,d=n.HALF_FLOAT,c=n.FLOAT,l=n.RGBA8):(a=e.RGBA,r=e.RGBA,s=e.RGBA,i=n.RGBA,o=e.RGBA,u=4,p=4,d=t!=null?t.HALF_FLOAT_OES:null,c=e.FLOAT,l=e.RGBA),{internalFormatFloat:a,internalFormatHalfFloat:r,internalFormatPackedHalfFloat:s,internalFormatPackedFloat:i,textureFormatFloat:o,downloadTextureFormat:l,downloadUnpackNumChannels:u,defaultNumChannels:p,textureTypeHalfFloat:d,textureTypeFloat:c}}function me(e,t){let n=t();return H().getBool("DEBUG")&&XY(e),n}function XY(e){let t=e.getError();if(t!==e.NO_ERROR)throw new Error("WebGL Error: "+d_(e,t))}var YY=596e-10,ZY=65504;function c_(e){return!!(H().getBool("WEBGL_RENDER_FLOAT32_ENABLED")||e===0||YYe.getExtension(t),'Extension "'+t+'" not supported on this browser.')}function h_(e,t){let n=Mr(e,()=>e.createShader(e.VERTEX_SHADER),"Unable to create vertex WebGLShader.");if(me(e,()=>e.shaderSource(n,t)),me(e,()=>e.compileShader(n)),e.getShaderParameter(n,e.COMPILE_STATUS)===!1)throw console.log(e.getShaderInfoLog(n)),new Error("Failed to compile vertex shader.");return n}function m_(e,t){let n=Mr(e,()=>e.createShader(e.FRAGMENT_SHADER),"Unable to create fragment WebGLShader.");if(me(e,()=>e.shaderSource(n,t)),me(e,()=>e.compileShader(n)),H().get("ENGINE_COMPILE_ONLY"))return n;if(e.getShaderParameter(n,e.COMPILE_STATUS)===!1)throw Y0(t,e.getShaderInfoLog(n)),new Error("Failed to compile fragment shader.");return n}var JY=/ERROR: [0-9]+:([0-9]+):/g;function Y0(e,t){let n=JY.exec(t);if(n==null){console.log(`Couldn't parse line number in error: ${t}`),console.log(e);return}let a=+n[1],r=e.split(` `),s=r.length.toString().length+2,i=r.map((d,c)=>v.rightPad((c+1).toString(),s)+d),o=0;for(let d=0;de.createProgram(),"Unable to create WebGLProgram.")}function l_(e,t){if(me(e,()=>e.linkProgram(t)),!H().get("ENGINE_COMPILE_ONLY")&&e.getProgramParameter(t,e.LINK_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Failed to link vertex and fragment shaders.")}function vh(e,t){if(me(e,()=>e.validateProgram(t)),e.getProgramParameter(t,e.VALIDATE_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Shader program validation failed.")}function u_(e,t){let n=Rr(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return me(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),me(e,()=>e.bufferData(e.ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function p_(e,t){let n=Rr(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return me(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,n)),me(e,()=>e.bufferData(e.ELEMENT_ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function zY(){return H().getNumber("WEBGL_VERSION")===2?1:4}function c_(e){return Rr(e,()=>e.createTexture(),"Unable to create WebGLTexture.")}function d_(e,t){let n=H().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(e<=0||t<=0){let a=`[${e}x${t}]`;throw new Error("Requested texture size "+a+" is invalid.")}if(e>n||t>n){let a=`[${e}x${t}]`,r=`[${n}x${n}]`;throw new Error("Requested texture size "+a+" greater than WebGL maximum on this browser / GPU "+r+".")}}function h_(e){return Rr(e,()=>e.createFramebuffer(),"Unable to create WebGLFramebuffer.")}function dx(e,t,n,a,r,s,i){let o=e.getAttribLocation(t,n);return o===-1?!1:(me(e,()=>e.bindBuffer(e.ARRAY_BUFFER,a)),me(e,()=>e.vertexAttribPointer(o,r,e.FLOAT,!1,s,i)),me(e,()=>e.enableVertexAttribArray(o)),!0)}function m_(e,t,n){x_(e,n),me(e,()=>e.activeTexture(e.TEXTURE0+n)),me(e,()=>e.bindTexture(e.TEXTURE_2D,t))}function BY(e,t){x_(e,t),me(e,()=>e.activeTexture(e.TEXTURE0+t)),me(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function f_(e,t,n){return Rr(e,()=>e.getUniformLocation(t,n),'uniform "'+n+'" not present in program.')}function g_(e,t,n){return e.getUniformLocation(t,n)}function b_(e,t,n,a){me(e,()=>m_(e,t,a)),me(e,()=>e.uniform1i(n,a))}function WY(e){me(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,null)),me(e,()=>e.viewport(0,0,e.canvas.width,e.canvas.height)),me(e,()=>e.scissor(0,0,e.canvas.width,e.canvas.height))}function wh(e,t,n){me(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,n)),me(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0))}function hx(e,t){me(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,t)),me(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,null,0))}function Lp(e){let t=e.checkFramebufferStatus(e.FRAMEBUFFER);if(t!==e.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+y_(e,t))}function y_(e,t){switch(t){case e.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_ATTACHMENT";case e.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT";case e.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return"FRAMEBUFFER_INCOMPLETE_DIMENSIONS";case e.FRAMEBUFFER_UNSUPPORTED:return"FRAMEBUFFER_UNSUPPORTED";default:return`unknown error ${t}`}}function Rr(e,t,n){let a=me(e,()=>t());if(a==null)throw new Error(n);return a}function x_(e,t){let n=e.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,a=t+e.TEXTURE0;if(an){let r=`[gl.TEXTURE0, gl.TEXTURE${n}]`;throw new Error(`textureUnit must be in ${r}.`)}}function ci(e,t=2){return v.sizeFromShape(e.slice(0,e.length-t))}function di(e){if(e.length===0)throw Error("Cannot get rows and columns of an empty shape array.");return[e.length>1?e[e.length-2]:1,e[e.length-1]]}function kh(e){let t=[1,1,1];return e.length===0||e.length===1&&e[0]===1||(t=[ci(e),...di(e)]),t}function v_(e,t=!1){let n=H().getNumber("WEBGL_MAX_TEXTURE_SIZE"),a=H().getNumber("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE");a===1/0&&H().getBool("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE")&&(a=n/2),t&&(n=n*2,a=a*2,e=e.map((o,l)=>l>=e.length-2?v.nearestLargerEven(e[l]):e[l]),e.length===1&&(e=[2,e[0]])),e.length!==2&&(e=v.squeezeShape(e).newShape);let r=v.sizeFromShape(e),s=null;e.length<=1&&r<=n?s=[1,r]:e.length===2&&e[0]<=n&&e[1]<=n?s=e:e.length===3&&e[0]*e[1]<=n&&e[2]<=n?s=[e[0]*e[1],e[2]]:e.length===3&&e[0]<=n&&e[1]*e[2]<=n?s=[e[0],e[1]*e[2]]:e.length===4&&e[0]*e[1]*e[2]<=n&&e[3]<=n?s=[e[0]*e[1]*e[2],e[3]]:e.length===4&&e[0]<=n&&e[1]*e[2]*e[3]<=n&&(s=[e[0],e[1]*e[2]*e[3]]);let i=s!=null&&Math.max(...s)>a&&Math.min(...s)<=(t?2:1)&&Math.min(...s)>0;if(s==null||i)if(t){let o=ci(e),l=2,u=2;e.length&&([l,u]=di(e)),r=o*(l/2)*(u/2),s=v.sizeToSquarishShape(r).map(p=>p*2)}else s=v.sizeToSquarishShape(r);return s}function fh(e){return e%2===0}function ac(e,t){if(e=e.slice(-2),t=t.slice(-2),v.arraysEqual(e,t)||!e.length||!t.length||e[0]===0||e[1]===0||t[0]===0||t[1]===0)return!0;if(e.length!==t.length){let n=e.slice(-1)[0],a=t.slice(-1)[0];if(n===a||fh(n)&&fh(a)&&(e[0]===1||t[0]===1))return!0}return e[1]===t[1]&&fh(e[0])&&fh(t[0])}var Ih,Sh;function w_(e){if(Ih==null){let t=Ha(e);Ih=t.getParameter(t.MAX_TEXTURE_SIZE)}return Ih}function VY(){Ih=null}function UY(){Sh=null}function k_(e){if(Sh==null){let t=Ha(e);Sh=t.getParameter(t.MAX_TEXTURE_IMAGE_UNITS)}return Math.min(16,Sh)}function I_(e){if(e===0)return 0;let t,n=Ha(e);return da(n,"EXT_disjoint_timer_query_webgl2")&&e===2?t=2:da(n,"EXT_disjoint_timer_query")?t=1:t=0,t}function da(e,t){return e.getExtension(t)!=null}function mx(e){try{if(Ha(e)!=null)return!0}catch(t){return console.log("Error when getting WebGL context: ",t),!1}return!1}function S_(e){if(e===0)return!1;let t=Ha(e);if(e===1){if(!da(t,"OES_texture_float"))return!1}else if(!da(t,"EXT_color_buffer_float"))return!1;return fx(t)}function T_(e){if(e===0)return!1;let t=Ha(e);if(e===1){if(!da(t,"OES_texture_float")||!da(t,"WEBGL_color_buffer_float"))return!1}else{if(da(t,"EXT_color_buffer_float"))return fx(t);let n="EXT_color_buffer_half_float";if(da(t,n)){let a=t.getExtension(n);return GY(t,a)}return!1}return fx(t)}function fx(e){let t=H0(e),n=e.createTexture();e.bindTexture(e.TEXTURE_2D,n);let a=1,r=1;e.texImage2D(e.TEXTURE_2D,0,t.internalFormatFloat,a,r,0,t.textureFormatFloat,t.textureTypeFloat,null);let s=e.createFramebuffer();e.bindFramebuffer(e.FRAMEBUFFER,s),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,n,0);let i=e.checkFramebufferStatus(e.FRAMEBUFFER)===e.FRAMEBUFFER_COMPLETE;return e.bindTexture(e.TEXTURE_2D,null),e.bindFramebuffer(e.FRAMEBUFFER,null),e.deleteTexture(n),e.deleteFramebuffer(s),i}function GY(e,t){let n=H0(e,t),a=e.createTexture();e.bindTexture(e.TEXTURE_2D,a);let r=1,s=1;e.texImage2D(e.TEXTURE_2D,0,n.internalFormatHalfFloat,r,s,0,n.textureFormatFloat,n.textureTypeHalfFloat,null);let i=e.createFramebuffer();e.bindFramebuffer(e.FRAMEBUFFER,i),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,a,0);let o=e.checkFramebufferStatus(e.FRAMEBUFFER)===e.FRAMEBUFFER_COMPLETE;return e.bindTexture(e.TEXTURE_2D,null),e.bindFramebuffer(e.FRAMEBUFFER,null),e.deleteTexture(a),e.deleteFramebuffer(i),o}function N_(e){return e!==2?!1:Ha(e).fenceSync!=null}function Ku(e,t){Array.isArray(e)||(e=[e]),e.forEach(n=>{n!=null&&v.assert(n.dtype!=="complex64",()=>`${t} does not support complex64 tensors in the WebGL backend.`)})}var ve=H();ve.registerFlag("HAS_WEBGL",()=>ve.getNumber("WEBGL_VERSION")>0);ve.registerFlag("WEBGL_VERSION",()=>mx(2)?2:mx(1)?1:0);ve.registerFlag("WEBGL_CHECK_NUMERICAL_PROBLEMS",()=>!1);ve.registerFlag("WEBGL_BUFFER_SUPPORTED",()=>ve.get("WEBGL_VERSION")===2);ve.registerFlag("WEBGL_CPU_FORWARD",()=>!0);ve.registerFlag("WEBGL_FORCE_F16_TEXTURES",()=>!1);ve.registerFlag("WEBGL_PACK",()=>ve.getBool("HAS_WEBGL"));ve.registerFlag("WEBGL_PACK_NORMALIZATION",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_CLIP",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_DEPTHWISECONV",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_BINARY_OPERATIONS",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_UNARY_OPERATIONS",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_ARRAY_OPERATIONS",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_IMAGE_OPERATIONS",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_REDUCE",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_LAZILY_UNPACK",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_CONV_IM2COL",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_MAX_TEXTURE_SIZE",()=>w_(ve.getNumber("WEBGL_VERSION")));ve.registerFlag("WEBGL_MAX_TEXTURES_IN_SHADER",()=>k_(ve.getNumber("WEBGL_VERSION")));ve.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION",()=>{let e=ve.getNumber("WEBGL_VERSION");return e===0?0:I_(e)});ve.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE",()=>ve.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0&&!Ec.isMobile());ve.registerFlag("WEBGL_RENDER_FLOAT32_CAPABLE",()=>S_(ve.getNumber("WEBGL_VERSION")));ve.registerFlag("WEBGL_RENDER_FLOAT32_ENABLED",()=>ve.getBool("WEBGL_FORCE_F16_TEXTURES")?!1:ve.getBool("WEBGL_RENDER_FLOAT32_CAPABLE"));ve.registerFlag("WEBGL_DOWNLOAD_FLOAT_ENABLED",()=>T_(ve.getNumber("WEBGL_VERSION")));ve.registerFlag("WEBGL_FENCE_API_ENABLED",()=>N_(ve.getNumber("WEBGL_VERSION")));ve.registerFlag("WEBGL_SIZE_UPLOAD_UNIFORM",()=>ve.getBool("WEBGL_RENDER_FLOAT32_ENABLED")?4:0);ve.registerFlag("WEBGL_DELETE_TEXTURE_THRESHOLD",()=>-1,e=>{if(e<0&&e!==-1)throw new Error(`WEBGL_DELETE_TEXTURE_THRESHOLD must be -1 (indicating never delete) or at least 0, but got ${e}.`)});ve.registerFlag("WEBGL_FLUSH_THRESHOLD",()=>Ec.isMobile()?1:-1,e=>{if(e<0&&e!==-1)throw new Error(`WEBGL_FLUSH_THRESHOLD must be -1 (indicating never manual flush) or at least 0, but got ${e}.`)});ve.registerFlag("CPU_HANDOFF_SIZE_THRESHOLD",()=>128);ve.registerFlag("WEBGL_USE_SHAPES_UNIFORMS",()=>!1);ve.registerFlag("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD",()=>1e5);ve.registerFlag("TOPK_K_CPU_HANDOFF_THRESHOLD",()=>128);ve.registerFlag("WEBGL_EXP_CONV",()=>!1);ve.registerFlag("SOFTWARE_WEBGL_ENABLED",()=>ve.getBool("IS_TEST"));ve.registerFlag("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE",()=>1/0);ve.registerFlag("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE",()=>!1);ve.registerFlag("WEBGL2_ISNAN_CUSTOM",()=>!1);function Nn(){let e,t,n,a,r,s,i,o,l,u;return H().getNumber("WEBGL_VERSION")===2?(e="#version 300 es",t="in",n="out",a="in",r="texture",s="outputColor",i="out vec4 outputColor;",o=H().getBool("WEBGL2_ISNAN_CUSTOM")?` +`))}function f_(e){return Mr(e,()=>e.createProgram(),"Unable to create WebGLProgram.")}function g_(e,t){if(me(e,()=>e.linkProgram(t)),!H().get("ENGINE_COMPILE_ONLY")&&e.getProgramParameter(t,e.LINK_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Failed to link vertex and fragment shaders.")}function wh(e,t){if(me(e,()=>e.validateProgram(t)),e.getProgramParameter(t,e.VALIDATE_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Shader program validation failed.")}function b_(e,t){let n=Mr(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return me(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),me(e,()=>e.bufferData(e.ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function y_(e,t){let n=Mr(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return me(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,n)),me(e,()=>e.bufferData(e.ELEMENT_ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function QY(){return H().getNumber("WEBGL_VERSION")===2?1:4}function x_(e){return Mr(e,()=>e.createTexture(),"Unable to create WebGLTexture.")}function v_(e,t){let n=H().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(e<=0||t<=0){let a=`[${e}x${t}]`;throw new Error("Requested texture size "+a+" is invalid.")}if(e>n||t>n){let a=`[${e}x${t}]`,r=`[${n}x${n}]`;throw new Error("Requested texture size "+a+" greater than WebGL maximum on this browser / GPU "+r+".")}}function w_(e){return Mr(e,()=>e.createFramebuffer(),"Unable to create WebGLFramebuffer.")}function mx(e,t,n,a,r,s,i){let o=e.getAttribLocation(t,n);return o===-1?!1:(me(e,()=>e.bindBuffer(e.ARRAY_BUFFER,a)),me(e,()=>e.vertexAttribPointer(o,r,e.FLOAT,!1,s,i)),me(e,()=>e.enableVertexAttribArray(o)),!0)}function k_(e,t,n){C_(e,n),me(e,()=>e.activeTexture(e.TEXTURE0+n)),me(e,()=>e.bindTexture(e.TEXTURE_2D,t))}function eZ(e,t){C_(e,t),me(e,()=>e.activeTexture(e.TEXTURE0+t)),me(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function I_(e,t,n){return Mr(e,()=>e.getUniformLocation(t,n),'uniform "'+n+'" not present in program.')}function S_(e,t,n){return e.getUniformLocation(t,n)}function T_(e,t,n,a){me(e,()=>k_(e,t,a)),me(e,()=>e.uniform1i(n,a))}function tZ(e){me(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,null)),me(e,()=>e.viewport(0,0,e.canvas.width,e.canvas.height)),me(e,()=>e.scissor(0,0,e.canvas.width,e.canvas.height))}function kh(e,t,n){me(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,n)),me(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0))}function fx(e,t){me(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,t)),me(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,null,0))}function Wp(e){let t=e.checkFramebufferStatus(e.FRAMEBUFFER);if(t!==e.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+N_(e,t))}function N_(e,t){switch(t){case e.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_ATTACHMENT";case e.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT";case e.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return"FRAMEBUFFER_INCOMPLETE_DIMENSIONS";case e.FRAMEBUFFER_UNSUPPORTED:return"FRAMEBUFFER_UNSUPPORTED";default:return`unknown error ${t}`}}function Mr(e,t,n){let a=me(e,()=>t());if(a==null)throw new Error(n);return a}function C_(e,t){let n=e.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,a=t+e.TEXTURE0;if(an){let r=`[gl.TEXTURE0, gl.TEXTURE${n}]`;throw new Error(`textureUnit must be in ${r}.`)}}function ci(e,t=2){return v.sizeFromShape(e.slice(0,e.length-t))}function di(e){if(e.length===0)throw Error("Cannot get rows and columns of an empty shape array.");return[e.length>1?e[e.length-2]:1,e[e.length-1]]}function Bp(e){let t=[1,1,1];return e.length===0||e.length===1&&e[0]===1||(t=[ci(e),...di(e)]),t}function __(e,t=!1){let n=H().getNumber("WEBGL_MAX_TEXTURE_SIZE"),a=H().getNumber("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE");a===1/0&&H().getBool("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE")&&(a=n/2),t&&(n=n*2,a=a*2,e=e.map((o,l)=>l>=e.length-2?v.nearestLargerEven(e[l]):e[l]),e.length===1&&(e=[2,e[0]])),e.length!==2&&(e=v.squeezeShape(e).newShape);let r=v.sizeFromShape(e),s=null;e.length<=1&&r<=n?s=[1,r]:e.length===2&&e[0]<=n&&e[1]<=n?s=e:e.length===3&&e[0]*e[1]<=n&&e[2]<=n?s=[e[0]*e[1],e[2]]:e.length===3&&e[0]<=n&&e[1]*e[2]<=n?s=[e[0],e[1]*e[2]]:e.length===4&&e[0]*e[1]*e[2]<=n&&e[3]<=n?s=[e[0]*e[1]*e[2],e[3]]:e.length===4&&e[0]<=n&&e[1]*e[2]*e[3]<=n&&(s=[e[0],e[1]*e[2]*e[3]]);let i=s!=null&&Math.max(...s)>a&&Math.min(...s)<=(t?2:1)&&Math.min(...s)>0;if(s==null||i)if(t){let o=ci(e),l=2,u=2;e.length&&([l,u]=di(e)),r=o*(l/2)*(u/2),s=v.sizeToSquarishShape(r).map(p=>p*2)}else s=v.sizeToSquarishShape(r);return s}function gh(e){return e%2===0}function sc(e,t){if(e=e.slice(-2),t=t.slice(-2),v.arraysEqual(e,t)||!e.length||!t.length||e[0]===0||e[1]===0||t[0]===0||t[1]===0)return!0;if(e.length!==t.length){let n=e.slice(-1)[0],a=t.slice(-1)[0];if(n===a||gh(n)&&gh(a)&&(e[0]===1||t[0]===1))return!0}return e[1]===t[1]&&gh(e[0])&&gh(t[0])}var Ih,Sh;function E_(e){if(Ih==null){let t=qa(e);Ih=t.getParameter(t.MAX_TEXTURE_SIZE)}return Ih}function nZ(){Ih=null}function aZ(){Sh=null}function A_(e){if(Sh==null){let t=qa(e);Sh=t.getParameter(t.MAX_TEXTURE_IMAGE_UNITS)}return Math.min(16,Sh)}function $_(e){if(e===0)return 0;let t,n=qa(e);return da(n,"EXT_disjoint_timer_query_webgl2")&&e===2?t=2:da(n,"EXT_disjoint_timer_query")?t=1:t=0,t}function da(e,t){return e.getExtension(t)!=null}function gx(e){try{if(qa(e)!=null)return!0}catch(t){return console.log("Error when getting WebGL context: ",t),!1}return!1}function F_(e){if(e===0)return!1;let t=qa(e);if(e===1){if(!da(t,"OES_texture_float"))return!1}else if(!da(t,"EXT_color_buffer_float"))return!1;return bx(t)}function D_(e){if(e===0)return!1;let t=qa(e);if(e===1){if(!da(t,"OES_texture_float")||!da(t,"WEBGL_color_buffer_float"))return!1}else{if(da(t,"EXT_color_buffer_float"))return bx(t);let n="EXT_color_buffer_half_float";if(da(t,n)){let a=t.getExtension(n);return rZ(t,a)}return!1}return bx(t)}function bx(e){let t=X0(e),n=e.createTexture();e.bindTexture(e.TEXTURE_2D,n);let a=1,r=1;e.texImage2D(e.TEXTURE_2D,0,t.internalFormatFloat,a,r,0,t.textureFormatFloat,t.textureTypeFloat,null);let s=e.createFramebuffer();e.bindFramebuffer(e.FRAMEBUFFER,s),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,n,0);let i=e.checkFramebufferStatus(e.FRAMEBUFFER)===e.FRAMEBUFFER_COMPLETE;return e.bindTexture(e.TEXTURE_2D,null),e.bindFramebuffer(e.FRAMEBUFFER,null),e.deleteTexture(n),e.deleteFramebuffer(s),i}function rZ(e,t){let n=X0(e,t),a=e.createTexture();e.bindTexture(e.TEXTURE_2D,a);let r=1,s=1;e.texImage2D(e.TEXTURE_2D,0,n.internalFormatHalfFloat,r,s,0,n.textureFormatFloat,n.textureTypeHalfFloat,null);let i=e.createFramebuffer();e.bindFramebuffer(e.FRAMEBUFFER,i),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,a,0);let o=e.checkFramebufferStatus(e.FRAMEBUFFER)===e.FRAMEBUFFER_COMPLETE;return e.bindTexture(e.TEXTURE_2D,null),e.bindFramebuffer(e.FRAMEBUFFER,null),e.deleteTexture(a),e.deleteFramebuffer(i),o}function R_(e){return e!==2?!1:qa(e).fenceSync!=null}function Yu(e,t){Array.isArray(e)||(e=[e]),e.forEach(n=>{n!=null&&v.assert(n.dtype!=="complex64",()=>`${t} does not support complex64 tensors in the WebGL backend.`)})}var ve=H();ve.registerFlag("HAS_WEBGL",()=>ve.getNumber("WEBGL_VERSION")>0);ve.registerFlag("WEBGL_VERSION",()=>gx(2)?2:gx(1)?1:0);ve.registerFlag("WEBGL_CHECK_NUMERICAL_PROBLEMS",()=>!1);ve.registerFlag("WEBGL_BUFFER_SUPPORTED",()=>ve.get("WEBGL_VERSION")===2);ve.registerFlag("WEBGL_CPU_FORWARD",()=>!0);ve.registerFlag("WEBGL_FORCE_F16_TEXTURES",()=>!1);ve.registerFlag("WEBGL_PACK",()=>ve.getBool("HAS_WEBGL"));ve.registerFlag("WEBGL_PACK_NORMALIZATION",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_CLIP",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_DEPTHWISECONV",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_BINARY_OPERATIONS",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_UNARY_OPERATIONS",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_ARRAY_OPERATIONS",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_IMAGE_OPERATIONS",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_REDUCE",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_LAZILY_UNPACK",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_CONV_IM2COL",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_MAX_TEXTURE_SIZE",()=>E_(ve.getNumber("WEBGL_VERSION")));ve.registerFlag("WEBGL_MAX_TEXTURES_IN_SHADER",()=>A_(ve.getNumber("WEBGL_VERSION")));ve.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION",()=>{let e=ve.getNumber("WEBGL_VERSION");return e===0?0:$_(e)});ve.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE",()=>ve.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0&&!$c.isMobile());ve.registerFlag("WEBGL_RENDER_FLOAT32_CAPABLE",()=>F_(ve.getNumber("WEBGL_VERSION")));ve.registerFlag("WEBGL_RENDER_FLOAT32_ENABLED",()=>ve.getBool("WEBGL_FORCE_F16_TEXTURES")?!1:ve.getBool("WEBGL_RENDER_FLOAT32_CAPABLE"));ve.registerFlag("WEBGL_DOWNLOAD_FLOAT_ENABLED",()=>D_(ve.getNumber("WEBGL_VERSION")));ve.registerFlag("WEBGL_FENCE_API_ENABLED",()=>R_(ve.getNumber("WEBGL_VERSION")));ve.registerFlag("WEBGL_SIZE_UPLOAD_UNIFORM",()=>ve.getBool("WEBGL_RENDER_FLOAT32_ENABLED")?4:0);ve.registerFlag("WEBGL_DELETE_TEXTURE_THRESHOLD",()=>-1,e=>{if(e<0&&e!==-1)throw new Error(`WEBGL_DELETE_TEXTURE_THRESHOLD must be -1 (indicating never delete) or at least 0, but got ${e}.`)});ve.registerFlag("WEBGL_FLUSH_THRESHOLD",()=>$c.isMobile()?1:-1,e=>{if(e<0&&e!==-1)throw new Error(`WEBGL_FLUSH_THRESHOLD must be -1 (indicating never manual flush) or at least 0, but got ${e}.`)});ve.registerFlag("CPU_HANDOFF_SIZE_THRESHOLD",()=>128);ve.registerFlag("WEBGL_USE_SHAPES_UNIFORMS",()=>!1);ve.registerFlag("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD",()=>1e5);ve.registerFlag("TOPK_K_CPU_HANDOFF_THRESHOLD",()=>128);ve.registerFlag("WEBGL_EXP_CONV",()=>!1);ve.registerFlag("SOFTWARE_WEBGL_ENABLED",()=>ve.getBool("IS_TEST"));ve.registerFlag("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE",()=>1/0);ve.registerFlag("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE",()=>!1);ve.registerFlag("WEBGL2_ISNAN_CUSTOM",()=>!1);function _n(){let e,t,n,a,r,s,i,o,l,u;return H().getNumber("WEBGL_VERSION")===2?(e="#version 300 es",t="in",n="out",a="in",r="texture",s="outputColor",i="out vec4 outputColor;",o=H().getBool("WEBGL2_ISNAN_CUSTOM")?` bool isnan_custom(float val) { uint floatToUint = floatBitsToUint(val); return (floatToUint & 0x7fffffffu) > 0x7f800000u; @@ -107,15 +108,15 @@ Hi, looks like you are running TensorFlow.js in Node.js. To speed things up dram ivec4 round(vec4 value) { return ivec4(floor(value + vec4(0.5))); } - `),{version:e,attribute:t,varyingVs:n,varyingFs:a,texture2D:r,output:s,defineOutput:i,defineSpecialNaN:o,defineSpecialInf:l,defineRound:u}}function vo(e,t,n="index"){let a=v.computeStrides(t);return a.map((r,s)=>{let i=`int ${e[s]} = ${n} / ${r}`,o=s===a.length-1?`int ${e[s+1]} = ${n} - ${e[s]} * ${r}`:`index -= ${e[s]} * ${r}`;return`${i}; ${o};`}).join("")}function jf(e,t,n="index"){let a=v.computeStrides(t);return a.map((r,s)=>{let i=`int ${e[s]} = ${n} / outShapeStrides[${s}]`,o=s===a.length-1?`int ${e[s+1]} = ${n} - ${e[s]} * outShapeStrides[${s}]`:`index -= ${e[s]} * outShapeStrides[${s}]`;return`${i}; ${o};`}).join("")}function HY(e,t){let n=e.length,a=e.map(s=>`${t}[${s}]`),r=new Array(n-1);r[n-2]=a[n-1];for(let s=n-3;s>=0;--s)r[s]=`(${r[s+1]} * ${a[s+1]})`;return r}function jY(e,t,n="index"){let a=e.map((s,i)=>i),r=HY(a,t);return r.map((s,i)=>{let o=`int ${e[i]} = ${n} / ${r[i]}`,l=i===r.length-1?`int ${e[i+1]} = ${n} - ${e[i]} * ${r[i]}`:`index -= ${e[i]} * ${r[i]}`;return`${o}; ${l};`}).join("")}function q0(e){let t=v.computeStrides(e).map(n=>n.toString());return` + `),{version:e,attribute:t,varyingVs:n,varyingFs:a,texture2D:r,output:s,defineOutput:i,defineSpecialNaN:o,defineSpecialInf:l,defineRound:u}}function wo(e,t,n="index"){let a=v.computeStrides(t);return a.map((r,s)=>{let i=`int ${e[s]} = ${n} / ${r}`,o=s===a.length-1?`int ${e[s+1]} = ${n} - ${e[s]} * ${r}`:`index -= ${e[s]} * ${r}`;return`${i}; ${o};`}).join("")}function Kf(e,t,n="index"){let a=v.computeStrides(t);return a.map((r,s)=>{let i=`int ${e[s]} = ${n} / outShapeStrides[${s}]`,o=s===a.length-1?`int ${e[s+1]} = ${n} - ${e[s]} * outShapeStrides[${s}]`:`index -= ${e[s]} * outShapeStrides[${s}]`;return`${i}; ${o};`}).join("")}function sZ(e,t){let n=e.length,a=e.map(s=>`${t}[${s}]`),r=new Array(n-1);r[n-2]=a[n-1];for(let s=n-3;s>=0;--s)r[s]=`(${r[s+1]} * ${a[s+1]})`;return r}function iZ(e,t,n="index"){let a=e.map((s,i)=>i),r=sZ(a,t);return r.map((s,i)=>{let o=`int ${e[i]} = ${n} / ${r[i]}`,l=i===r.length-1?`int ${e[i+1]} = ${n} - ${e[i]} * ${r[i]}`:`index -= ${e[i]} * ${r[i]}`;return`${o}; ${l};`}).join("")}function Z0(e){let t=v.computeStrides(e).map(n=>n.toString());return` int getFlatIndex(ivec3 coords) { return coords.x * ${t[0]} + coords.y * ${t[1]} + coords.z; } -`}function K0(){return` +`}function J0(){return` int getFlatIndex(ivec3 coords) { return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z; } -`}var C_=` +`}var M_=` const float FLOAT_MAX = 1.70141184e38; const float FLOAT_MIN = 1.17549435e-38; @@ -154,22 +155,22 @@ Hi, looks like you are running TensorFlow.js in Node.js. To speed things up dram return c / 255.0; } -`,{getBroadcastDims:__}=N;function qY(e,t,n){let a=[];if(e.forEach(c=>{let h=v.sizeFromShape(c.shapeInfo.logicalShape);if(c.shapeInfo.isUniform?a.push(`uniform float ${c.name}${h>1?`[${h}]`:""};`):(a.push(`uniform sampler2D ${c.name};`),a.push(`uniform int offset${c.name};`)),n.enableShapeUniforms){let{uniformShape:m}=X0(n.packedInputs,c.shapeInfo.logicalShape,c.shapeInfo.texShape);switch(m.length){case 1:a.push(`uniform int ${c.name}Shape;`);break;case 2:a.push(`uniform ivec2 ${c.name}Shape;`);break;case 3:a.push(`uniform ivec3 ${c.name}Shape;`);break;case 4:a.push(`uniform ivec4 ${c.name}Shape;`);break;default:break}a.push(`uniform ivec2 ${c.name}TexShape;`)}}),n.enableShapeUniforms){switch(t.logicalShape.length){case 1:a.push("uniform int outShape;");break;case 2:a.push("uniform ivec2 outShape;"),a.push("uniform int outShapeStrides;");break;case 3:a.push("uniform ivec3 outShape;"),a.push("uniform ivec2 outShapeStrides;");break;case 4:a.push("uniform ivec4 outShape;"),a.push("uniform ivec3 outShapeStrides;");break;default:break}a.push("uniform ivec2 outTexShape;")}n.customUniforms&&n.customUniforms.forEach(c=>{a.push(`uniform ${c.type} ${c.name}${c.arrayIndex?`[${c.arrayIndex}]`:""};`)});let r=a.join(` -`),s=e.map(c=>KY(c,t,n.packedInputs,n.enableShapeUniforms)).join(` -`),i=t.texShape,o=Nn(),l=ZY(o),u,p,d=e7(o);return t.isPacked?(u=XY(t.logicalShape,i,n.enableShapeUniforms),p=QY(o)):(u=YY(t.logicalShape,i,n.enableShapeUniforms),p=JY(o)),n.packedInputs&&(d+=r7),[d,l,p,r,u,s,n.userCode].join(` -`)}function Xu(e,t=!1){let n=e.shapeInfo.logicalShape;switch(n.length){case 0:return g7(e,t);case 1:return y7(e,t);case 2:return v7(e,t);case 3:return k7(e,t);case 4:return S7(e,t);case 5:return T7(e);case 6:return N7(e);default:throw new Error(`${n.length}-D input sampling is not yet supported`)}}function E_(e,t){switch(e.shapeInfo.logicalShape.length){case 0:return f7(e);case 1:return b7(e,t);case 2:return x7(e,t);case 3:return w7(e,t);default:return I7(e,t)}}function KY(e,t,n=!1,a){let r="";n?r+=E_(e,a):r+=Xu(e,a);let s=e.shapeInfo.logicalShape,i=t.logicalShape;return s.length<=i.length&&(n?r+=C7(e,t):r+=_7(e,t)),r}function XY(e,t,n){switch(e.length){case 0:return A_();case 1:return s7(e,t,n);case 2:return h7(e,t,n);case 3:return o7(e,t,n);default:return u7(e,t,n)}}function YY(e,t,n){switch(e.length){case 0:return A_();case 1:return i7(e,t,n);case 2:return m7(e,t,n);case 3:return l7(e,t,n);case 4:return p7(e,t,n);case 5:return c7(e,t);case 6:return d7(e,t);default:throw new Error(`${e.length}-D output sampling is not yet supported`)}}function ZY(e){return` +`,{getBroadcastDims:P_}=N;function oZ(e,t,n){let a=[];if(e.forEach(c=>{let h=v.sizeFromShape(c.shapeInfo.logicalShape);if(c.shapeInfo.isUniform?a.push(`uniform float ${c.name}${h>1?`[${h}]`:""};`):(a.push(`uniform sampler2D ${c.name};`),a.push(`uniform int offset${c.name};`)),n.enableShapeUniforms){let{uniformShape:m}=Q0(n.packedInputs,c.shapeInfo.logicalShape,c.shapeInfo.texShape);switch(m.length){case 1:a.push(`uniform int ${c.name}Shape;`);break;case 2:a.push(`uniform ivec2 ${c.name}Shape;`);break;case 3:a.push(`uniform ivec3 ${c.name}Shape;`);break;case 4:a.push(`uniform ivec4 ${c.name}Shape;`);break;default:break}a.push(`uniform ivec2 ${c.name}TexShape;`)}}),n.enableShapeUniforms){switch(t.logicalShape.length){case 1:a.push("uniform int outShape;");break;case 2:a.push("uniform ivec2 outShape;"),a.push("uniform int outShapeStrides;");break;case 3:a.push("uniform ivec3 outShape;"),a.push("uniform ivec2 outShapeStrides;");break;case 4:a.push("uniform ivec4 outShape;"),a.push("uniform ivec3 outShapeStrides;");break;default:break}a.push("uniform ivec2 outTexShape;")}n.customUniforms&&n.customUniforms.forEach(c=>{a.push(`uniform ${c.type} ${c.name}${c.arrayIndex?`[${c.arrayIndex}]`:""};`)});let r=a.join(` +`),s=e.map(c=>lZ(c,t,n.packedInputs,n.enableShapeUniforms)).join(` +`),i=t.texShape,o=_n(),l=cZ(o),u,p,d=mZ(o);return t.isPacked?(u=uZ(t.logicalShape,i,n.enableShapeUniforms),p=hZ(o)):(u=pZ(t.logicalShape,i,n.enableShapeUniforms),p=dZ(o)),n.packedInputs&&(d+=yZ),[d,l,p,r,u,s,n.userCode].join(` +`)}function Zu(e,t=!1){let n=e.shapeInfo.logicalShape;switch(n.length){case 0:return AZ(e,t);case 1:return FZ(e,t);case 2:return RZ(e,t);case 3:return PZ(e,t);case 4:return LZ(e,t);case 5:return zZ(e);case 6:return WZ(e);default:throw new Error(`${n.length}-D input sampling is not yet supported`)}}function O_(e,t){switch(e.shapeInfo.logicalShape.length){case 0:return EZ(e);case 1:return $Z(e,t);case 2:return DZ(e,t);case 3:return MZ(e,t);default:return OZ(e,t)}}function lZ(e,t,n=!1,a){let r="";n?r+=O_(e,a):r+=Zu(e,a);let s=e.shapeInfo.logicalShape,i=t.logicalShape;return s.length<=i.length&&(n?r+=BZ(e,t):r+=VZ(e,t)),r}function uZ(e,t,n){switch(e.length){case 0:return L_();case 1:return xZ(e,t,n);case 2:return CZ(e,t,n);case 3:return wZ(e,t,n);default:return IZ(e,t,n)}}function pZ(e,t,n){switch(e.length){case 0:return L_();case 1:return vZ(e,t,n);case 2:return _Z(e,t,n);case 3:return kZ(e,t,n);case 4:return SZ(e,t,n);case 5:return TZ(e,t);case 6:return NZ(e,t);default:throw new Error(`${e.length}-D output sampling is not yet supported`)}}function cZ(e){return` float sampleTexture(sampler2D textureSampler, vec2 uv) { return ${e.texture2D}(textureSampler, uv).r; } - `}function JY(e){return` + `}function dZ(e){return` void setOutput(float val) { ${e.output} = vec4(val, 0, 0, 0); } - `}function QY(e){return` + `}function hZ(e){return` void setOutput(vec4 val) { ${e.output} = val; } - `}function e7(e){return`${e.version} + `}function mZ(e){return`${e.version} precision highp float; precision highp int; precision highp sampler2D; @@ -224,10 +225,10 @@ Hi, looks like you are running TensorFlow.js in Node.js. To speed things up dram return fract((p3.x + p3.y) * p3.z); } - ${t7} - ${n7} - ${a7} - `}var t7=` + ${fZ} + ${gZ} + ${bZ} + `}var fZ=` vec2 uvFromFlat(int texNumR, int texNumC, int index) { int texR = index / texNumC; int texC = index - texR * texNumC; @@ -239,7 +240,7 @@ vec2 packedUVfrom1D(int texNumR, int texNumC, int index) { int texC = texelIndex - texR * texNumC; return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); } -`,n7=` +`,gZ=` vec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR, int texNumC, int row, int col) { int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2); @@ -247,7 +248,7 @@ vec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR, int texC = texelIndex - texR * texNumC; return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); } -`,a7=` +`,bZ=` vec2 packedUVfrom3D(int texNumR, int texNumC, int texelsInBatch, int texelsInLogicalRow, int b, int row, int col) { @@ -256,7 +257,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, int texC = index - texR * texNumC; return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); } -`,r7=` +`,yZ=` float getChannel(vec4 frag, vec2 innerDims) { vec2 modCoord = mod(innerDims, 2.); return modCoord.x == 0. ? @@ -267,11 +268,11 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, float modCoord = mod(float(dim), 2.); return modCoord == 0. ? frag.r : frag.g; } -`;function A_(){return` +`;function L_(){return` int getOutputCoords() { return 0; } - `}function s7(e,t,n){let a=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return a[0]===1?n?` + `}function xZ(e,t,n){let a=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return a[0]===1?n?` int getOutputCoords() { return 2 * int(resultUV.x * ceil(float(outTexShape[1]) / 2.0)); } @@ -300,7 +301,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2(${a[0]}, ${a[1]})); return 2 * (resTexRC.x * ${a[1]} + resTexRC.y); } - `}function i7(e,t,n){return t[0]===1?n?` + `}function vZ(e,t,n){return t[0]===1?n?` int getOutputCoords() { return int(resultUV.x * float(outTexShape[1])); } @@ -328,7 +329,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2(${t[0]}, ${t[1]})); return resTexRC.x * ${t[1]} + resTexRC.y; } - `}function o7(e,t,n){if(n)return` + `}function wZ(e,t,n){if(n)return` ivec3 getOutputCoords() { ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0)); int texelsInLogicalRow = int(ceil(float(outShape[2]) / 2.0)); @@ -359,15 +360,15 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, return ivec3(b, r, c); } - `}function l7(e,t,n){if(n)return` + `}function kZ(e,t,n){if(n)return` ivec3 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1])); int index = resTexRC.x * outTexShape[1] + resTexRC.y; - ${jf(["r","c","d"],e)} + ${Kf(["r","c","d"],e)} return ivec3(r, c, d); } -`;let a=vo(["r","c","d"],e);return` +`;let a=wo(["r","c","d"],e);return` ivec3 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(${t[0]}, ${t[1]})); @@ -375,7 +376,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ${a} return ivec3(r, c, d); } - `}function u7(e,t,n){if(n)return` + `}function IZ(e,t,n){if(n)return` ivec4 getOutputCoords() { ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0)); ivec2 resTexRC = ivec2(resultUV.yx * @@ -416,15 +417,15 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, return ivec${e.length}(${l}); } - `}function p7(e,t,n){if(n)return` + `}function SZ(e,t,n){if(n)return` ivec4 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1])); int index = resTexRC.x * outTexShape[1] + resTexRC.y; - ${jf(["r","c","d","d2"],e)} + ${Kf(["r","c","d","d2"],e)} return ivec4(r, c, d, d2); } - `;let a=vo(["r","c","d","d2"],e);return` + `;let a=wo(["r","c","d","d2"],e);return` ivec4 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(${t[0]}, ${t[1]})); @@ -432,7 +433,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ${a} return ivec4(r, c, d, d2); } - `}function c7(e,t){let n=vo(["r","c","d","d2","d3"],e);return` + `}function TZ(e,t){let n=wo(["r","c","d","d2","d3"],e);return` ivec5 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(${t[0]}, ${t[1]})); @@ -444,7 +445,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ivec5 outShape = ivec5(r, c, d, d2, d3); return outShape; } - `}function d7(e,t){let n=vo(["r","c","d","d2","d3","d4"],e);return` + `}function NZ(e,t){let n=wo(["r","c","d","d2","d3","d4"],e);return` ivec6 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(${t[0]}, ${t[1]})); @@ -455,7 +456,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ivec6 result = ivec6(r, c, d, d2, d3, d4); return result; } - `}function h7(e,t,n){let a=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(v.arraysEqual(e,t))return n?` + `}function CZ(e,t,n){let a=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(v.arraysEqual(e,t))return n?` ivec2 getOutputCoords() { ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0)); return 2 * ivec2(resultUV.yx * vec2(packedTexShape[0], packedTexShape[1])); @@ -488,7 +489,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, return ivec2(r, c); } - `}function m7(e,t,n){return v.arraysEqual(e,t)?n?` + `}function _Z(e,t,n){return v.arraysEqual(e,t)?n?` ivec2 getOutputCoords() { return ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1])); } @@ -542,15 +543,15 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, int c = index - r * ${e[1]}; return ivec2(r, c); } - `}function wo(e){return`offset${e}`}function f7(e){let t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),a=Nn();return` + `}function ko(e){return`offset${e}`}function EZ(e){let t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),a=_n();return` vec4 ${n}() { return ${a.texture2D}(${t}, halfCR); } - `}function g7(e,t){let n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return`float ${a}() {return ${n};}`;let[r,s]=e.shapeInfo.texShape;if(r===1&&s===1)return` + `}function AZ(e,t){let n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return`float ${a}() {return ${n};}`;let[r,s]=e.shapeInfo.texShape;if(r===1&&s===1)return` float ${a}() { return sampleTexture(${n}, halfCR); } - `;let i=wo(n);if(t)return` + `;let i=ko(n);if(t)return` float ${a}() { vec2 uv = uvFromFlat(${n}TexShape[0], ${n}TexShape[1], ${i}); return sampleTexture(${n}, uv); @@ -560,7 +561,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2 uv = uvFromFlat(${o}, ${l}, ${i}); return sampleTexture(${n}, uv); } - `}function b7(e,t){let n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),r=e.shapeInfo.texShape,s=Nn();if(t)return` + `}function $Z(e,t){let n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),r=e.shapeInfo.texShape,s=_n();if(t)return` vec4 ${a}(int index) { ivec2 packedTexShape = ivec2(ceil(float(${n}TexShape[0]) / 2.0), ceil(float(${n}TexShape[1]) / 2.0)); vec2 uv = packedUVfrom1D( @@ -573,15 +574,15 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ${i[0]}, ${i[1]}, index); return ${s.texture2D}(${n}, uv); } - `}function y7(e,t){let n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return` + `}function FZ(e,t){let n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return` float ${a}(int index) { - ${Yu(e)} + ${Ju(e)} } `;let r=e.shapeInfo.texShape,s=r[0],i=r[1];if(i===1&&s===1)return` float ${a}(int index) { return sampleTexture(${n}, halfCR); } - `;let o=wo(n);return i===1?t?` + `;let o=ko(n);return i===1?t?` float ${a}(int index) { vec2 uv = vec2(0.5, (float(index + ${o}) + 0.5) / float(${n}TexShape[0])); return sampleTexture(${n}, uv); @@ -611,7 +612,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2 uv = uvFromFlat(${s}, ${i}, index + ${o}); return sampleTexture(${n}, uv); } - `}function x7(e,t){let n=e.shapeInfo.logicalShape,a=e.name,r="get"+a.charAt(0).toUpperCase()+a.slice(1),s=e.shapeInfo.texShape,i=s[0],o=s[1],l=Nn();if(s!=null&&v.arraysEqual(n,s))return t?` + `}function DZ(e,t){let n=e.shapeInfo.logicalShape,a=e.name,r="get"+a.charAt(0).toUpperCase()+a.slice(1),s=e.shapeInfo.texShape,i=s[0],o=s[1],l=_n();if(s!=null&&v.arraysEqual(n,s))return t?` vec4 ${r}(int row, int col) { vec2 uv = (vec2(col, row) + halfCR) / vec2(${a}TexShape[1], ${a}TexShape[0]); @@ -635,7 +636,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2 uv = packedUVfrom2D(${p}, ${u[0]}, ${u[1]}, row, col); return ${l.texture2D}(${a}, uv); } - `}function v7(e,t){let n=e.shapeInfo.logicalShape,a=e.name,r="get"+a.charAt(0).toUpperCase()+a.slice(1),s=e.shapeInfo.texShape;if(s!=null&&v.arraysEqual(n,s)){if(t)return` + `}function RZ(e,t){let n=e.shapeInfo.logicalShape,a=e.name,r="get"+a.charAt(0).toUpperCase()+a.slice(1),s=e.shapeInfo.texShape;if(s!=null&&v.arraysEqual(n,s)){if(t)return` float ${r}(int row, int col) { vec2 uv = (vec2(col, row) + halfCR) / vec2(${a}TexShape[1], ${a}TexShape[0]); return sampleTexture(${a}, uv); @@ -645,17 +646,17 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2 uv = (vec2(col, row) + halfCR) / vec2(${h}.0, ${c}.0); return sampleTexture(${a}, uv); } - `}let{newShape:i,keptDims:o}=v.squeezeShape(n),l=i;if(l.length=1?p="coords = 0;":p=o.map(g=>`coords.${d[g+u]} = 0;`).join(` + `}function BZ(e,t){let n=e.name,a=n.charAt(0).toUpperCase()+n.slice(1),r="get"+a+"AtOutCoords",s=e.shapeInfo.logicalShape.length,i=t.logicalShape.length,o=P_(e.shapeInfo.logicalShape,t.logicalShape),l=gt(i),u=i-s,p,d=["x","y","z","w","u","v"];s===0?p="":i<2&&o.length>=1?p="coords = 0;":p=o.map(g=>`coords.${d[g+u]} = 0;`).join(` `);let c="";i<2&&s>0?c="coords":c=e.shapeInfo.logicalShape.map((g,b)=>`coords.${d[b+u]}`).join(", ");let h="return outputValue;",m=v.sizeFromShape(e.shapeInfo.logicalShape)===1,f=v.sizeFromShape(t.logicalShape)===1;if(s===1&&!m&&!f)h=` return vec4(outputValue.xy, outputValue.xy); `;else if(m&&!f)i===1?h=` @@ -972,20 +973,20 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec4 outputValue = get${a}(${c}); ${h} } - `}function _7(e,t){let n=e.name,a=n.charAt(0).toUpperCase()+n.slice(1),r="get"+a+"AtOutCoords",s=t.texShape,i=e.shapeInfo.texShape,o=e.shapeInfo.logicalShape.length,l=t.logicalShape.length;if(!e.shapeInfo.isUniform&&o===l&&e.shapeInfo.flatOffset==null&&v.arraysEqual(i,s))return` + `}function VZ(e,t){let n=e.name,a=n.charAt(0).toUpperCase()+n.slice(1),r="get"+a+"AtOutCoords",s=t.texShape,i=e.shapeInfo.texShape,o=e.shapeInfo.logicalShape.length,l=t.logicalShape.length;if(!e.shapeInfo.isUniform&&o===l&&e.shapeInfo.flatOffset==null&&v.arraysEqual(i,s))return` float ${r}() { return sampleTexture(${n}, resultUV); } - `;let u=gt(l),p=__(e.shapeInfo.logicalShape,t.logicalShape),d=l-o,c,h=["x","y","z","w","u","v"];o===0?c="":l<2&&p.length>=1?c="coords = 0;":c=p.map(f=>`coords.${h[f+d]} = 0;`).join(` + `;let u=gt(l),p=P_(e.shapeInfo.logicalShape,t.logicalShape),d=l-o,c,h=["x","y","z","w","u","v"];o===0?c="":l<2&&p.length>=1?c="coords = 0;":c=p.map(f=>`coords.${h[f+d]} = 0;`).join(` `);let m="";return l<2&&o>0?m="coords":m=e.shapeInfo.logicalShape.map((f,g)=>`coords.${h[g+d]}`).join(", "),` float ${r}() { ${u} coords = getOutputCoords(); ${c} return get${a}(${m}); } - `}function gt(e){if(e<=1)return"int";if(e===2)return"ivec2";if(e===3)return"ivec3";if(e===4)return"ivec4";if(e===5)return"ivec5";if(e===6)return"ivec6";throw Error(`GPU for rank ${e} is not yet supported`)}function X0(e,t,n){let{newShape:a,keptDims:r}=v.squeezeShape(t),s=t.length,i=e&&s===3&&t[0]===1,o=i?t.slice(1):a,l=!e&&s>1&&!v.arraysEqual(t,n)&&a.lengthe[n]).join(", ")}function E7(e,t,n,a){let r=n.map((p,d)=>{let c={logicalShape:p.shape,texShape:p.isUniform?null:p.texData.texShape,isUniform:p.isUniform,isPacked:p.isUniform?!1:p.texData.isPacked,flatOffset:null};return p.texData!=null&&p.texData.slice!=null&&p.texData.slice.flatOffset>0&&(c.flatOffset=p.texData.slice.flatOffset),{name:t.variableNames[d],shapeInfo:c}}),s=r.map(p=>p.shapeInfo),i={logicalShape:a.shape,texShape:a.texData.texShape,isUniform:!1,isPacked:a.texData.isPacked,flatOffset:null},o=qY(r,i,t),l=i_(e.gl,o),u=e.createProgram(l);return H().get("ENGINE_COMPILE_ONLY")?{program:t,fragmentShader:l,source:o,webGLProgram:u,inShapeInfos:s,outShapeInfo:i,uniformLocations:null,customUniformLocations:null,infLoc:null,nanLoc:null,inShapesLocations:null,inTexShapesLocations:null,outShapeLocation:null,outShapeStridesLocation:null,outTexShapeLocation:null}:Object.assign({program:t,fragmentShader:l,source:o,webGLProgram:u,inShapeInfos:s,outShapeInfo:i},$_(e,t,u))}function $_(e,t,n){let a={},r={},s={},i=[],o,l,u,p=null,d=null;d=e.getUniformLocation(n,"NAN",!1),H().getNumber("WEBGL_VERSION")===1&&(p=e.getUniformLocation(n,"INFINITY",!1));let c=!1;for(let h=0;h{i[m]=e.getUniformLocation(n,h.name,c)}),{uniformLocations:a,customUniformLocations:i,infLoc:p,nanLoc:d,inShapesLocations:r,inTexShapesLocations:s,outShapeLocation:o,outShapeStridesLocation:u,outTexShapeLocation:l}}function iI(e,t){if(e.length!==t.length)throw Error(`Binary was compiled with ${e.length} inputs, but was executed with ${t.length} inputs`);e.forEach((n,a)=>{let r=n.logicalShape,s=t[a],i=s.shape;if(!v.arraysEqual(r,i))throw Error(`Binary was compiled with different shapes than the current args. Shapes ${r} and ${i} must match`);if(n.isUniform&&s.isUniform)return;let o=n.texShape,l=s.isUniform?null:s.texData.texShape;if(!v.arraysEqual(o,l))throw Error(`Binary was compiled with different texture shapes than the current args. Shape ${o} and ${l} must match`)})}function A7(e,t,n,a,r){t.program.enableShapeUniforms||(iI(t.inShapeInfos,n),iI([t.outShapeInfo],[a]));let s=a.texData.texture,i=a.texData.texShape;a.texData.isPacked?e.setOutputPackedMatrixTexture(s.texture,i[0],i[1]):e.setOutputMatrixTexture(s.texture,i[0],i[1]),e.setProgram(t.webGLProgram),H().getNumber("WEBGL_VERSION")===1&&t.infLoc!==null&&e.gl.uniform1f(t.infLoc,1/0),t.nanLoc!==null&&e.gl.uniform1f(t.nanLoc,NaN),n.forEach((l,u)=>{let p=t.program.variableNames[u],d=t.uniformLocations[p],c=t.uniformLocations[`offset${p}`],h=t.inShapesLocations[`${p}Shape`],m=t.inTexShapesLocations[`${p}TexShape`];if(h){let{uniformShape:f}=X0(t.program.packedInputs,l.shape,l.texData.texShape);switch(f.length){case 1:e.gl.uniform1iv(h,new Int32Array(f));break;case 2:e.gl.uniform2iv(h,new Int32Array(f));break;case 3:e.gl.uniform3iv(h,new Int32Array(f));break;case 4:e.gl.uniform4iv(h,new Int32Array(f));break;default:break}}if(m&&e.gl.uniform2i(m,l.texData.texShape[0],l.texData.texShape[1]),d!=null){if(l.isUniform){if(v.sizeFromShape(l.shape)<2)e.gl.uniform1f(d,l.uniformValues[0]);else{let f=l.uniformValues;f instanceof Float32Array||(f=new Float32Array(f)),e.gl.uniform1fv(d,f)}return}l.texData.slice!=null&&c!=null&&e.gl.uniform1i(c,l.texData.slice.flatOffset),e.setInputMatrixTexture(l.texData.texture.texture,d,u)}});let o=t.outShapeLocation;if(o)switch(a.shape.length){case 1:e.gl.uniform1iv(o,new Int32Array(a.shape));break;case 2:e.gl.uniform2iv(o,new Int32Array(a.shape));break;case 3:e.gl.uniform3iv(o,new Int32Array(a.shape));break;case 4:e.gl.uniform4iv(o,new Int32Array(a.shape));break;default:break}if(t.outShapeStridesLocation){let l=v.computeStrides(a.shape);switch(a.shape.length){case 2:e.gl.uniform1iv(t.outShapeStridesLocation,new Int32Array(l));break;case 3:e.gl.uniform2iv(t.outShapeStridesLocation,new Int32Array(l));break;case 4:e.gl.uniform3iv(t.outShapeStridesLocation,new Int32Array(l));break;default:break}}t.outTexShapeLocation&&e.gl.uniform2i(t.outTexShapeLocation,a.texData.texShape[0],a.texData.texShape[1]),t.program.customUniforms&&r&&t.program.customUniforms.forEach((l,u)=>{let p=t.customUniformLocations[u],d=r[u];if(l.type==="float")e.gl.uniform1fv(p,d);else if(l.type==="vec2")e.gl.uniform2fv(p,d);else if(l.type==="vec3")e.gl.uniform3fv(p,d);else if(l.type==="vec4")e.gl.uniform4fv(p,d);else if(l.type==="int")e.gl.uniform1iv(p,d);else if(l.type==="ivec2")e.gl.uniform2iv(p,d);else if(l.type==="ivec3")e.gl.uniform3iv(p,d);else if(l.type==="ivec4")e.gl.uniform4iv(p,d);else throw Error(`uniform type ${l.type} is not supported yet.`)}),e.executeProgram()}function $7(e,t,n){let a="";t.concat(n).forEach(i=>{let o=i.texData!=null&&i.texData.slice!=null&&i.texData.slice.flatOffset>0;if(e.enableShapeUniforms&&!i.isUniform){let l=i.texData.texShape,{useSqueezeShape:u,uniformShape:p,keptDims:d}=X0(e.packedInputs,i.shape,l),c="",h="",m="";if(p.length===1&&e.packedInputs){let I=[Math.ceil(l[0]/2),Math.ceil(l[1]/2)];c=`${I[0]>1}_${I[1]>1}`}else if(p.length===2&&!e.packedInputs)h=`${p[0]>1}_${p[1]>1}`;else if(p.length>2&&!e.packedInputs){let I=v.computeStrides(p);m=`${I[0]===l[1]}_${I[I.length-1]===l[1]}`}let f=i.shape.length,g=p.length===2&&v.arraysEqual(i.shape,l),b=v.sizeFromShape(i.shape)===1,y=N.getBroadcastDims(i.shape,n.shape),x=!e.packedInputs&&f===n.shape.length&&v.arraysEqual(l,n.texData.texShape),w=e.packedInputs||p.length>2?"":`${l[0]>1}_${l[1]>1}`;a+=`${f}_${x}_${u?d:""}_${p.length}_${b}_${y}_${g}_${c}_${h}_${m}_${w}_${o}`}else{let l=i.isUniform?"uniform":i.texData.texShape;a+=`${i.shape}_${l}_${o}`}});let r=e.userCode,s=e.constructor.name;return s+="_"+a+"_"+r+`${H().getNumber("WEBGL_VERSION")}`,s}function Cn(e){return H().getBool("WEBGL_USE_SHAPES_UNIFORMS")&&e<=4}var F7=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=nc.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];let t=Nn();this.outputShape=e,this.enableShapeUniforms=Cn(this.outputShape.length),this.userCode=` + `}function gt(e){if(e<=1)return"int";if(e===2)return"ivec2";if(e===3)return"ivec3";if(e===4)return"ivec4";if(e===5)return"ivec5";if(e===6)return"ivec6";throw Error(`GPU for rank ${e} is not yet supported`)}function Q0(e,t,n){let{newShape:a,keptDims:r}=v.squeezeShape(t),s=t.length,i=e&&s===3&&t[0]===1,o=i?t.slice(1):a,l=!e&&s>1&&!v.arraysEqual(t,n)&&a.lengthe[n]).join(", ")}function UZ(e,t,n,a){let r=n.map((p,d)=>{let c={logicalShape:p.shape,texShape:p.isUniform?null:p.texData.texShape,isUniform:p.isUniform,isPacked:p.isUniform?!1:p.texData.isPacked,flatOffset:null};return p.texData!=null&&p.texData.slice!=null&&p.texData.slice.flatOffset>0&&(c.flatOffset=p.texData.slice.flatOffset),{name:t.variableNames[d],shapeInfo:c}}),s=r.map(p=>p.shapeInfo),i={logicalShape:a.shape,texShape:a.texData.texShape,isUniform:!1,isPacked:a.texData.isPacked,flatOffset:null},o=oZ(r,i,t),l=m_(e.gl,o),u=e.createProgram(l);return H().get("ENGINE_COMPILE_ONLY")?{program:t,fragmentShader:l,source:o,webGLProgram:u,inShapeInfos:s,outShapeInfo:i,uniformLocations:null,customUniformLocations:null,infLoc:null,nanLoc:null,inShapesLocations:null,inTexShapesLocations:null,outShapeLocation:null,outShapeStridesLocation:null,outTexShapeLocation:null}:Object.assign({program:t,fragmentShader:l,source:o,webGLProgram:u,inShapeInfos:s,outShapeInfo:i},z_(e,t,u))}function z_(e,t,n){let a={},r={},s={},i=[],o,l,u,p=null,d=null;d=e.getUniformLocation(n,"NAN",!1),H().getNumber("WEBGL_VERSION")===1&&(p=e.getUniformLocation(n,"INFINITY",!1));let c=!1;for(let h=0;h{i[m]=e.getUniformLocation(n,h.name,c)}),{uniformLocations:a,customUniformLocations:i,infLoc:p,nanLoc:d,inShapesLocations:r,inTexShapesLocations:s,outShapeLocation:o,outShapeStridesLocation:u,outTexShapeLocation:l}}function dI(e,t){if(e.length!==t.length)throw Error(`Binary was compiled with ${e.length} inputs, but was executed with ${t.length} inputs`);e.forEach((n,a)=>{let r=n.logicalShape,s=t[a],i=s.shape;if(!v.arraysEqual(r,i))throw Error(`Binary was compiled with different shapes than the current args. Shapes ${r} and ${i} must match`);if(n.isUniform&&s.isUniform)return;let o=n.texShape,l=s.isUniform?null:s.texData.texShape;if(!v.arraysEqual(o,l))throw Error(`Binary was compiled with different texture shapes than the current args. Shape ${o} and ${l} must match`)})}function GZ(e,t,n,a,r){t.program.enableShapeUniforms||(dI(t.inShapeInfos,n),dI([t.outShapeInfo],[a]));let s=a.texData.texture,i=a.texData.texShape;a.texData.isPacked?e.setOutputPackedMatrixTexture(s.texture,i[0],i[1]):e.setOutputMatrixTexture(s.texture,i[0],i[1]),e.setProgram(t.webGLProgram),H().getNumber("WEBGL_VERSION")===1&&t.infLoc!==null&&e.gl.uniform1f(t.infLoc,1/0),t.nanLoc!==null&&e.gl.uniform1f(t.nanLoc,NaN),n.forEach((l,u)=>{let p=t.program.variableNames[u],d=t.uniformLocations[p],c=t.uniformLocations[`offset${p}`],h=t.inShapesLocations[`${p}Shape`],m=t.inTexShapesLocations[`${p}TexShape`];if(h){let{uniformShape:f}=Q0(t.program.packedInputs,l.shape,l.texData.texShape);switch(f.length){case 1:e.gl.uniform1iv(h,new Int32Array(f));break;case 2:e.gl.uniform2iv(h,new Int32Array(f));break;case 3:e.gl.uniform3iv(h,new Int32Array(f));break;case 4:e.gl.uniform4iv(h,new Int32Array(f));break;default:break}}if(m&&e.gl.uniform2i(m,l.texData.texShape[0],l.texData.texShape[1]),d!=null){if(l.isUniform){if(v.sizeFromShape(l.shape)<2)e.gl.uniform1f(d,l.uniformValues[0]);else{let f=l.uniformValues;f instanceof Float32Array||(f=new Float32Array(f)),e.gl.uniform1fv(d,f)}return}l.texData.slice!=null&&c!=null&&e.gl.uniform1i(c,l.texData.slice.flatOffset),e.setInputMatrixTexture(l.texData.texture.texture,d,u)}});let o=t.outShapeLocation;if(o)switch(a.shape.length){case 1:e.gl.uniform1iv(o,new Int32Array(a.shape));break;case 2:e.gl.uniform2iv(o,new Int32Array(a.shape));break;case 3:e.gl.uniform3iv(o,new Int32Array(a.shape));break;case 4:e.gl.uniform4iv(o,new Int32Array(a.shape));break;default:break}if(t.outShapeStridesLocation){let l=v.computeStrides(a.shape);switch(a.shape.length){case 2:e.gl.uniform1iv(t.outShapeStridesLocation,new Int32Array(l));break;case 3:e.gl.uniform2iv(t.outShapeStridesLocation,new Int32Array(l));break;case 4:e.gl.uniform3iv(t.outShapeStridesLocation,new Int32Array(l));break;default:break}}t.outTexShapeLocation&&e.gl.uniform2i(t.outTexShapeLocation,a.texData.texShape[0],a.texData.texShape[1]),t.program.customUniforms&&r&&t.program.customUniforms.forEach((l,u)=>{let p=t.customUniformLocations[u],d=r[u];if(l.type==="float")e.gl.uniform1fv(p,d);else if(l.type==="vec2")e.gl.uniform2fv(p,d);else if(l.type==="vec3")e.gl.uniform3fv(p,d);else if(l.type==="vec4")e.gl.uniform4fv(p,d);else if(l.type==="int")e.gl.uniform1iv(p,d);else if(l.type==="ivec2")e.gl.uniform2iv(p,d);else if(l.type==="ivec3")e.gl.uniform3iv(p,d);else if(l.type==="ivec4")e.gl.uniform4iv(p,d);else throw Error(`uniform type ${l.type} is not supported yet.`)}),e.executeProgram()}function HZ(e,t,n){let a="";t.concat(n).forEach(i=>{let o=i.texData!=null&&i.texData.slice!=null&&i.texData.slice.flatOffset>0;if(e.enableShapeUniforms&&!i.isUniform){let l=i.texData.texShape,{useSqueezeShape:u,uniformShape:p,keptDims:d}=Q0(e.packedInputs,i.shape,l),c="",h="",m="";if(p.length===1&&e.packedInputs){let I=[Math.ceil(l[0]/2),Math.ceil(l[1]/2)];c=`${I[0]>1}_${I[1]>1}`}else if(p.length===2&&!e.packedInputs)h=`${p[0]>1}_${p[1]>1}`;else if(p.length>2&&!e.packedInputs){let I=v.computeStrides(p);m=`${I[0]===l[1]}_${I[I.length-1]===l[1]}`}let f=i.shape.length,g=p.length===2&&v.arraysEqual(i.shape,l),b=v.sizeFromShape(i.shape)===1,y=N.getBroadcastDims(i.shape,n.shape),x=!e.packedInputs&&f===n.shape.length&&v.arraysEqual(l,n.texData.texShape),w=e.packedInputs||p.length>2?"":`${l[0]>1}_${l[1]>1}`;a+=`${f}_${x}_${u?d:""}_${p.length}_${b}_${y}_${g}_${c}_${h}_${m}_${w}_${o}`}else{let l=i.isUniform?"uniform":i.texData.texShape;a+=`${i.shape}_${l}_${o}`}});let r=e.userCode,s=e.constructor.name;return s+="_"+a+"_"+r+`${H().getNumber("WEBGL_VERSION")}`,s}function En(e){return H().getBool("WEBGL_USE_SHAPES_UNIFORMS")&&e<=4}var jZ=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=rc.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];let t=_n();this.outputShape=e,this.enableShapeUniforms=En(this.outputShape.length),this.userCode=` ivec3 outCoordsFromFlatIndex(int index) { - ${this.enableShapeUniforms?jf(["r","c","d"],e):vo(["r","c","d"],e)} + ${this.enableShapeUniforms?Kf(["r","c","d"],e):wo(["r","c","d"],e)} return ivec3(r, c, d); } @@ -1003,9 +1004,9 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ${t.output} = result; } - `}},D7=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=nc.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];let t=Nn();this.outputShape=e,this.enableShapeUniforms=Cn(this.outputShape.length),this.userCode=` + `}},qZ=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=rc.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];let t=_n();this.outputShape=e,this.enableShapeUniforms=En(this.outputShape.length),this.userCode=` ivec3 outCoordsFromFlatIndex(int index) { - ${this.enableShapeUniforms?jf(["r","c","d"],e):vo(["r","c","d"],e)} + ${this.enableShapeUniforms?Kf(["r","c","d"],e):wo(["r","c","d"],e)} return ivec3(r, c, d); } @@ -1023,52 +1024,45 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ${t.output} = result; } - `}},R7=class{constructor(e){this.variableNames=["A"],this.outTexUsage=ca.DOWNLOAD;let t=Nn();this.outputShape=e,this.userCode=` - ${C_} + `}},KZ=class{constructor(e){this.variableNames=["A"],this.outTexUsage=ca.DOWNLOAD;let t=_n();this.outputShape=e,this.userCode=` + ${M_} void main() { float x = getAAtOutCoords(); ${t.output} = encode_float(x); } - `}},M7=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=ca.DOWNLOAD;let t=Nn();this.outputShape=e,this.userCode=` - ${C_} + `}},XZ=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=ca.DOWNLOAD;let t=_n();this.outputShape=e,this.userCode=` + ${M_} void main() { ivec3 coords = getOutputCoords(); float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z)); ${t.output} = encode_float(x); } - `}},P7=class{constructor(e,t=!1){this.variableNames=["A"],this.customUniforms=[{name:"texShape",type:"ivec2"}];let n=Nn();this.outputShape=e,this.enableShapeUniforms=Cn(this.outputShape.length);let a="result";t&&(a="floor(result * 255. + 0.5)"),this.userCode=` - ${this.enableShapeUniforms?K0():q0(e)} + `}},YZ={R:0,G:1,B:2,A:3},hI=class{constructor(e,t=!1,n="RGBA"){this.variableNames=["A"],this.customUniforms=[{name:"texShape",type:"ivec2"}];let a=_n();this.outputShape=e,this.enableShapeUniforms=En(this.outputShape.length);let r="result";t&&(r="floor(result * 255. + 0.5)");let s="";for(let i=0;iW_,createBufferFromOutputTexture:()=>G_,createFloat16MatrixTexture:()=>O_,createFloat16PackedMatrixTexture:()=>B_,createFloat32MatrixTexture:()=>P_,createIndexBuffer:()=>M_,createPackedMatrixTexture:()=>z_,createUnsignedBytesMatrixTexture:()=>L_,createVertexBuffer:()=>R_,createVertexShader:()=>D_,downloadByteEncodedFloatMatrixFromOutputTexture:()=>j_,downloadFloat32MatrixFromBuffer:()=>H_,downloadMatrixFromPackedOutputTexture:()=>K_,downloadPackedMatrixFromBuffer:()=>q_,getInternalFormatForFloat16MatrixTexture:()=>Z0,getInternalFormatForFloat16PackedMatrixTexture:()=>e1,getInternalFormatForFloat32MatrixTexture:()=>Y0,getInternalFormatForPackedMatrixTexture:()=>Q0,getInternalFormatForUnsignedBytesMatrixTexture:()=>J0,uploadDenseMatrixToTexture:()=>V_,uploadPixelDataToTexture:()=>U_});function D_(e){let t=Nn(),n=`${t.version} + `}},W_={};Ae(W_,{bindVertexProgramAttributeStreams:()=>X_,createBufferFromOutputTexture:()=>J_,createFloat16MatrixTexture:()=>H_,createFloat16PackedMatrixTexture:()=>K_,createFloat32MatrixTexture:()=>G_,createIndexBuffer:()=>U_,createPackedMatrixTexture:()=>q_,createUnsignedBytesMatrixTexture:()=>j_,createVertexBuffer:()=>V_,createVertexShader:()=>B_,downloadByteEncodedFloatMatrixFromOutputTexture:()=>eE,downloadFloat32MatrixFromBuffer:()=>Q_,downloadMatrixFromPackedOutputTexture:()=>nE,downloadPackedMatrixFromBuffer:()=>tE,getInternalFormatForFloat16MatrixTexture:()=>t1,getInternalFormatForFloat16PackedMatrixTexture:()=>r1,getInternalFormatForFloat32MatrixTexture:()=>e1,getInternalFormatForPackedMatrixTexture:()=>a1,getInternalFormatForUnsignedBytesMatrixTexture:()=>n1,uploadDenseMatrixToTexture:()=>Y_,uploadPixelDataToTexture:()=>Z_});function B_(e){let t=_n(),n=`${t.version} precision highp float; ${t.attribute} vec3 clipSpacePos; ${t.attribute} vec2 uv; @@ -1121,7 +1115,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, void main() { gl_Position = vec4(clipSpacePos, 1); resultUV = uv; - }`;return s_(e,n)}function R_(e){let t=new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]);return u_(e,t)}function M_(e){let t=new Uint16Array([0,1,2,2,1,3]);return p_(e,t)}function id(e,t,n,a,r,s){d_(t,n);let i=c_(e),o=e.TEXTURE_2D;return me(e,()=>e.bindTexture(o,i)),me(e,()=>e.texParameteri(o,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)),me(e,()=>e.texParameteri(o,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)),me(e,()=>e.texParameteri(o,e.TEXTURE_MIN_FILTER,e.NEAREST)),me(e,()=>e.texParameteri(o,e.TEXTURE_MAG_FILTER,e.NEAREST)),H().getNumber("WEBGL_VERSION")===1?me(e,()=>e.texImage2D(o,0,a,t,n,0,r,s,null)):me(e,()=>e.texStorage2D(o,1,a,t,n)),me(e,()=>e.bindTexture(e.TEXTURE_2D,null)),{texture:i,texShape:[n,t]}}function Y0(e){return e.internalFormatFloat}function P_(e,t,n,a){let[r,s]=sd(t,n);return id(e,r,s,Y0(a),a.textureFormatFloat,e.FLOAT)}function Z0(e){return e.internalFormatHalfFloat}function O_(e,t,n,a){let[r,s]=sd(t,n);return id(e,r,s,Z0(a),a.textureFormatFloat,a.textureTypeHalfFloat)}function J0(e){return e.downloadTextureFormat}function L_(e,t,n,a){let[r,s]=sd(t,n);return id(e,r,s,J0(a),e.RGBA,e.UNSIGNED_BYTE)}function Q0(e){return e.internalFormatPackedFloat}function z_(e,t,n,a){let[r,s]=qu(t,n);return id(e,r,s,Q0(a),e.RGBA,e.FLOAT)}function e1(e){return e.internalFormatPackedHalfFloat}function B_(e,t,n,a){let[r,s]=qu(t,n);return id(e,r,s,e1(a),e.RGBA,a.textureTypeHalfFloat)}function W_(e,t,n){return me(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),dx(e,t,"clipSpacePos",n,3,20,0)&&dx(e,t,"uv",n,2,20,12)}function V_(e,t,n,a,r,s){me(e,()=>e.bindTexture(e.TEXTURE_2D,t));let i,o,l;r instanceof Uint8Array?(i=new Uint8Array(n*a*4),o=e.UNSIGNED_BYTE,l=e.RGBA):(i=new Float32Array(n*a*4),o=e.FLOAT,l=s.internalFormatPackedFloat),i.set(r),H().getNumber("WEBGL_VERSION")===2?me(e,()=>e.texSubImage2D(e.TEXTURE_2D,0,0,0,n,a,e.RGBA,o,i)):me(e,()=>e.texImage2D(e.TEXTURE_2D,0,l,n,a,0,e.RGBA,o,i)),me(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function U_(e,t,n){me(e,()=>e.bindTexture(e.TEXTURE_2D,t)),n.data instanceof Uint8Array?H().getNumber("WEBGL_VERSION")===2?me(e,()=>e.texSubImage2D(e.TEXTURE_2D,0,0,0,n.width,n.height,e.RGBA,e.UNSIGNED_BYTE,n.data)):me(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,n.width,n.height,0,e.RGBA,e.UNSIGNED_BYTE,n.data)):H().getNumber("WEBGL_VERSION")===2?me(e,()=>e.texSubImage2D(e.TEXTURE_2D,0,0,0,e.RGBA,e.UNSIGNED_BYTE,n)):me(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,n)),me(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function G_(e,t,n,a){let r=e.createBuffer();me(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,r));let s=4*4*t*n;return me(e,()=>e.bufferData(e.PIXEL_PACK_BUFFER,s,e.STREAM_READ)),me(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,0)),me(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,null)),r}function H_(e,t,n){let a=e,r=new Float32Array(n);return a.bindBuffer(a.PIXEL_PACK_BUFFER,t),a.getBufferSubData(a.PIXEL_PACK_BUFFER,0,r),a.bindBuffer(a.PIXEL_PACK_BUFFER,null),r}function j_(e,t,n,a){let[r,s]=sd(t,n),i=4,o=new Uint8Array(DY(t*n,i));return me(e,()=>e.readPixels(0,0,r,s,a.downloadTextureFormat,e.UNSIGNED_BYTE,o)),new Float32Array(o.buffer)}function q_(e,t,n,a,r,s,i,o){let l=e,u=new Float32Array(RY(s,i));return l.bindBuffer(l.PIXEL_PACK_BUFFER,t),l.getBufferSubData(l.PIXEL_PACK_BUFFER,0,u),l.bindBuffer(l.PIXEL_PACK_BUFFER,null),u}function K_(e,t,n){let a=new Float32Array(t*n*4);return me(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,a)),a}var Th=class{constructor(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];let t=H().getNumber("WEBGL_VERSION");e!=null?(this.gl=e,n_(t,e)):this.gl=Ha(t);let n="WEBGL_color_buffer_float",a="EXT_color_buffer_half_float";if(this.parallelCompilationExtension=this.gl.getExtension("KHR_parallel_shader_compile"),H().getNumber("WEBGL_VERSION")===1){let r="OES_texture_float",s="OES_texture_half_float";if(this.textureFloatExtension=Op(this.gl,r),da(this.gl,s))this.textureHalfFloatExtension=Op(this.gl,s);else if(H().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(n),da(this.gl,a))this.colorBufferHalfFloatExtension=Op(this.gl,a);else if(H().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(n="EXT_color_buffer_float",da(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else if(da(this.gl,a))this.colorBufferHalfFloatExtension=this.gl.getExtension(a);else throw new Error("GL context does not support color renderable floats");this.vertexBuffer=R_(this.gl),this.indexBuffer=M_(this.gl),this.framebuffer=h_(this.gl),this.textureConfig=H0(this.gl,this.textureHalfFloatExtension)}get debug(){return H().getBool("DEBUG")}dispose(){if(this.disposed)return;this.program!=null&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),this.outputTexture!=null&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture. This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");let e=this.gl;me(e,()=>e.finish()),me(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,null)),me(e,()=>e.deleteFramebuffer(this.framebuffer)),me(e,()=>e.bindBuffer(e.ARRAY_BUFFER,null)),me(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null)),me(e,()=>e.deleteBuffer(this.indexBuffer)),this.disposed=!0}createFloat32MatrixTexture(e,t){return this.throwIfDisposed(),P_(this.gl,e,t,this.textureConfig)}createFloat16MatrixTexture(e,t){return this.throwIfDisposed(),O_(this.gl,e,t,this.textureConfig)}createUnsignedBytesMatrixTexture(e,t){return this.throwIfDisposed(),L_(this.gl,e,t,this.textureConfig)}uploadPixelDataToTexture(e,t){this.throwIfDisposed(),U_(this.gl,e,t)}uploadDenseMatrixToTexture(e,t,n,a){this.throwIfDisposed(),V_(this.gl,e,t,n,a,this.textureConfig)}createFloat16PackedMatrixTexture(e,t){return this.throwIfDisposed(),B_(this.gl,e,t,this.textureConfig)}createPackedMatrixTexture(e,t){return this.throwIfDisposed(),z_(this.gl,e,t,this.textureConfig)}deleteMatrixTexture(e){this.throwIfDisposed(),this.outputTexture===e&&(hx(this.gl,this.framebuffer),this.outputTexture=null),me(this.gl,()=>this.gl.deleteTexture(e))}downloadByteEncodedFloatMatrixFromOutputTexture(e,t,n){return this.downloadMatrixDriver(e,()=>j_(this.gl,t,n,this.textureConfig))}downloadPackedMatrixFromBuffer(e,t,n,a,r,s){return q_(this.gl,e,t,n,a,r,s,this.textureConfig)}downloadFloat32MatrixFromBuffer(e,t){return H_(this.gl,e,t)}createBufferFromTexture(e,t,n){this.bindTextureToFrameBuffer(e);let a=G_(this.gl,t,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),a}createAndWaitForFence(){let e=this.createFence(this.gl);return this.pollFence(e)}createFence(e){let t,n;if(H().getBool("WEBGL_FENCE_API_ENABLED")){let a=e,r=a.fenceSync(a.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),n=()=>{let s=a.clientWaitSync(r,0,0);return s===a.ALREADY_SIGNALED||s===a.CONDITION_SATISFIED},t=r}else H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(t=this.beginQuery(),this.endQuery(),n=()=>this.isQueryAvailable(t,H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))):n=()=>!0;return{query:t,isFencePassed:n}}downloadMatrixFromPackedTexture(e,t,n){return this.downloadMatrixDriver(e,()=>K_(this.gl,t,n))}createProgram(e){this.throwIfDisposed();let t=this.gl;this.vertexShader==null&&(this.vertexShader=D_(t));let n=o_(t);return me(t,()=>t.attachShader(n,this.vertexShader)),me(t,()=>t.attachShader(n,e)),l_(t,n),this.debug&&vh(t,n),this.vertexAttrsAreBound||(this.setProgram(n),this.vertexAttrsAreBound=W_(t,this.program,this.vertexBuffer)),n}deleteProgram(e){this.throwIfDisposed(),e===this.program&&(this.program=null),e!=null&&me(this.gl,()=>this.gl.deleteProgram(e))}setProgram(e){this.throwIfDisposed(),this.program=e,this.program!=null&&this.debug&&vh(this.gl,this.program),me(this.gl,()=>this.gl.useProgram(e))}getUniformLocation(e,t,n=!0){return this.throwIfDisposed(),n?f_(this.gl,e,t):g_(this.gl,e,t)}getAttributeLocation(e,t){return this.throwIfDisposed(),me(this.gl,()=>this.gl.getAttribLocation(e,t))}getUniformLocationNoThrow(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)}setInputMatrixTexture(e,t,n){this.throwIfDisposed(),this.throwIfNoProgram(),b_(this.gl,e,t,n)}setOutputMatrixTexture(e,t,n){this.setOutputMatrixTextureDriver(e,n,t)}setOutputPackedMatrixTexture(e,t,n){this.throwIfDisposed();let[a,r]=qu(t,n);this.setOutputMatrixTextureDriver(e,a,r)}setOutputMatrixWriteRegion(e,t,n,a){this.setOutputMatrixWriteRegionDriver(n,e,a,t)}setOutputPackedMatrixWriteRegion(e,t,n,a){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")}debugValidate(){this.program!=null&&vh(this.gl,this.program),Lp(this.gl)}executeProgram(){this.throwIfDisposed(),this.throwIfNoProgram();let e=this.gl;this.debug&&this.debugValidate(),me(e,()=>e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0))}blockUntilAllProgramsCompleted(){this.throwIfDisposed(),me(this.gl,()=>this.gl.finish())}getQueryTimerExtension(){return this.disjointQueryTimerExtension==null&&(this.disjointQueryTimerExtension=Op(this.gl,H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension}getQueryTimerExtensionWebGL2(){return this.getQueryTimerExtension()}getQueryTimerExtensionWebGL1(){return this.getQueryTimerExtension()}beginQuery(){if(H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){let n=this.gl,a=this.getQueryTimerExtensionWebGL2(),r=n.createQuery();return n.beginQuery(a.TIME_ELAPSED_EXT,r),r}let e=this.getQueryTimerExtensionWebGL1(),t=e.createQueryEXT();return e.beginQueryEXT(e.TIME_ELAPSED_EXT,t),t}endQuery(){if(H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){let t=this.gl,n=this.getQueryTimerExtensionWebGL2();t.endQuery(n.TIME_ELAPSED_EXT);return}let e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}async waitForQueryAndGetTime(e){return await v.repeatedTry(()=>this.disposed||this.isQueryAvailable(e,H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))),this.getQueryTime(e,H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}getQueryTime(e,t){if(t===0)return null;if(t===2){let n=this.gl;return n.getQueryParameter(e,n.QUERY_RESULT)/1e6}else{let n=this.getQueryTimerExtensionWebGL1();return n.getQueryObjectEXT(e,n.QUERY_RESULT_EXT)/1e6}}isQueryAvailable(e,t){if(t===0)return!0;if(t===2){let n=this.gl,a=this.getQueryTimerExtensionWebGL2(),r=n.getQueryParameter(e,n.QUERY_RESULT_AVAILABLE);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(a.GPU_DISJOINT_EXT)),r&&!this.disjoint}else{let n=this.getQueryTimerExtensionWebGL1(),a=n.getQueryObjectEXT(e,n.QUERY_RESULT_AVAILABLE_EXT);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(n.GPU_DISJOINT_EXT)),a&&!this.disjoint}}pollFence(e){return new Promise(t=>{this.addItemToPoll(()=>e.isFencePassed(),()=>t())})}pollItems(){let e=L7(this.itemsToPoll.map(t=>t.isDoneFn));for(let t=0;t<=e;++t){let{resolveFn:n}=this.itemsToPoll[t];n()}this.itemsToPoll=this.itemsToPoll.slice(e+1)}addItemToPoll(e,t){if(this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),this.itemsToPoll.length>1)return;let n;"setTimeoutCustom"in H().platform&&(n=H().platform.setTimeoutCustom.bind(H().platform)),v.repeatedTry(()=>(this.pollItems(),this.itemsToPoll.length===0),()=>0,null,n)}bindTextureToFrameBuffer(e){this.throwIfDisposed(),wh(this.gl,e,this.framebuffer),this.debug&&Lp(this.gl)}unbindTextureToFrameBuffer(){this.outputTexture!=null?(wh(this.gl,this.outputTexture,this.framebuffer),this.debug&&Lp(this.gl)):hx(this.gl,this.framebuffer)}downloadMatrixDriver(e,t){this.bindTextureToFrameBuffer(e);let n=t();return this.unbindTextureToFrameBuffer(),n}setOutputMatrixTextureDriver(e,t,n){this.throwIfDisposed();let a=this.gl;wh(a,e,this.framebuffer),this.debug&&Lp(a),this.outputTexture=e,me(a,()=>a.viewport(0,0,t,n)),me(a,()=>a.scissor(0,0,t,n))}setOutputMatrixWriteRegionDriver(e,t,n,a){this.throwIfDisposed(),me(this.gl,()=>this.gl.scissor(e,t,n,a))}throwIfDisposed(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")}throwIfNoProgram(){if(this.program==null)throw new Error("No GPU program is currently set.")}};function L7(e){let t=0;for(;t`${e}.${n}`)}function kn(e,t){return t===1?[e]:J_(e,t)}function CZ(e,t){if(e===1)return"rc";let n="";for(let a=0;ae.bindTexture(o,i)),me(e,()=>e.texParameteri(o,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)),me(e,()=>e.texParameteri(o,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)),me(e,()=>e.texParameteri(o,e.TEXTURE_MIN_FILTER,e.NEAREST)),me(e,()=>e.texParameteri(o,e.TEXTURE_MAG_FILTER,e.NEAREST)),H().getNumber("WEBGL_VERSION")===1?me(e,()=>e.texImage2D(o,0,a,t,n,0,r,s,null)):me(e,()=>e.texStorage2D(o,1,a,t,n)),me(e,()=>e.bindTexture(e.TEXTURE_2D,null)),{texture:i,texShape:[n,t]}}function e1(e){return e.internalFormatFloat}function G_(e,t,n,a){let[r,s]=id(t,n);return od(e,r,s,e1(a),a.textureFormatFloat,e.FLOAT)}function t1(e){return e.internalFormatHalfFloat}function H_(e,t,n,a){let[r,s]=id(t,n);return od(e,r,s,t1(a),a.textureFormatFloat,a.textureTypeHalfFloat)}function n1(e){return e.downloadTextureFormat}function j_(e,t,n,a){let[r,s]=id(t,n);return od(e,r,s,n1(a),e.RGBA,e.UNSIGNED_BYTE)}function a1(e){return e.internalFormatPackedFloat}function q_(e,t,n,a){let[r,s]=Xu(t,n);return od(e,r,s,a1(a),e.RGBA,e.FLOAT)}function r1(e){return e.internalFormatPackedHalfFloat}function K_(e,t,n,a){let[r,s]=Xu(t,n);return od(e,r,s,r1(a),e.RGBA,a.textureTypeHalfFloat)}function X_(e,t,n){return me(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),mx(e,t,"clipSpacePos",n,3,20,0)&&mx(e,t,"uv",n,2,20,12)}function Y_(e,t,n,a,r,s){me(e,()=>e.bindTexture(e.TEXTURE_2D,t));let i,o,l;r instanceof Uint8Array?(i=new Uint8Array(n*a*4),o=e.UNSIGNED_BYTE,l=e.RGBA):(i=new Float32Array(n*a*4),o=e.FLOAT,l=s.internalFormatPackedFloat),i.set(r),H().getNumber("WEBGL_VERSION")===2?me(e,()=>e.texSubImage2D(e.TEXTURE_2D,0,0,0,n,a,e.RGBA,o,i)):me(e,()=>e.texImage2D(e.TEXTURE_2D,0,l,n,a,0,e.RGBA,o,i)),me(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function Z_(e,t,n){me(e,()=>e.bindTexture(e.TEXTURE_2D,t)),n.data instanceof Uint8Array?H().getNumber("WEBGL_VERSION")===2?me(e,()=>e.texSubImage2D(e.TEXTURE_2D,0,0,0,n.width,n.height,e.RGBA,e.UNSIGNED_BYTE,n.data)):me(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,n.width,n.height,0,e.RGBA,e.UNSIGNED_BYTE,n.data)):H().getNumber("WEBGL_VERSION")===2?me(e,()=>e.texSubImage2D(e.TEXTURE_2D,0,0,0,e.RGBA,e.UNSIGNED_BYTE,n)):me(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,n)),me(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function J_(e,t,n,a){let r=e.createBuffer();me(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,r));let s=4*4*t*n;return me(e,()=>e.bufferData(e.PIXEL_PACK_BUFFER,s,e.STREAM_READ)),me(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,0)),me(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,null)),r}function Q_(e,t,n){let a=e,r=new Float32Array(n);return a.bindBuffer(a.PIXEL_PACK_BUFFER,t),a.getBufferSubData(a.PIXEL_PACK_BUFFER,0,r),a.bindBuffer(a.PIXEL_PACK_BUFFER,null),r}function eE(e,t,n,a){let[r,s]=id(t,n),i=4,o=new Uint8Array(qY(t*n,i));return me(e,()=>e.readPixels(0,0,r,s,a.downloadTextureFormat,e.UNSIGNED_BYTE,o)),new Float32Array(o.buffer)}function tE(e,t,n,a,r,s,i,o){let l=e,u=new Float32Array(KY(s,i));return l.bindBuffer(l.PIXEL_PACK_BUFFER,t),l.getBufferSubData(l.PIXEL_PACK_BUFFER,0,u),l.bindBuffer(l.PIXEL_PACK_BUFFER,null),u}function nE(e,t,n){let a=new Float32Array(t*n*4);return me(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,a)),a}var Th=class{constructor(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];let t=H().getNumber("WEBGL_VERSION");e!=null?(this.gl=e,p_(t,e)):this.gl=qa(t);let n="WEBGL_color_buffer_float",a="EXT_color_buffer_half_float";if(this.parallelCompilationExtension=this.gl.getExtension("KHR_parallel_shader_compile"),H().getNumber("WEBGL_VERSION")===1){let r="OES_texture_float",s="OES_texture_half_float";if(this.textureFloatExtension=zp(this.gl,r),da(this.gl,s))this.textureHalfFloatExtension=zp(this.gl,s);else if(H().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(n),da(this.gl,a))this.colorBufferHalfFloatExtension=zp(this.gl,a);else if(H().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(n="EXT_color_buffer_float",da(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else if(da(this.gl,a))this.colorBufferHalfFloatExtension=this.gl.getExtension(a);else throw new Error("GL context does not support color renderable floats");this.vertexBuffer=V_(this.gl),this.indexBuffer=U_(this.gl),this.framebuffer=w_(this.gl),this.textureConfig=X0(this.gl,this.textureHalfFloatExtension)}get debug(){return H().getBool("DEBUG")}dispose(){if(this.disposed)return;this.program!=null&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),this.outputTexture!=null&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture. This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");let e=this.gl;me(e,()=>e.finish()),me(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,null)),me(e,()=>e.deleteFramebuffer(this.framebuffer)),me(e,()=>e.bindBuffer(e.ARRAY_BUFFER,null)),me(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null)),me(e,()=>e.deleteBuffer(this.indexBuffer)),this.disposed=!0}createFloat32MatrixTexture(e,t){return this.throwIfDisposed(),G_(this.gl,e,t,this.textureConfig)}createFloat16MatrixTexture(e,t){return this.throwIfDisposed(),H_(this.gl,e,t,this.textureConfig)}createUnsignedBytesMatrixTexture(e,t){return this.throwIfDisposed(),j_(this.gl,e,t,this.textureConfig)}uploadPixelDataToTexture(e,t){this.throwIfDisposed(),Z_(this.gl,e,t)}uploadDenseMatrixToTexture(e,t,n,a){this.throwIfDisposed(),Y_(this.gl,e,t,n,a,this.textureConfig)}createFloat16PackedMatrixTexture(e,t){return this.throwIfDisposed(),K_(this.gl,e,t,this.textureConfig)}createPackedMatrixTexture(e,t){return this.throwIfDisposed(),q_(this.gl,e,t,this.textureConfig)}deleteMatrixTexture(e){this.throwIfDisposed(),this.outputTexture===e&&(fx(this.gl,this.framebuffer),this.outputTexture=null),me(this.gl,()=>this.gl.deleteTexture(e))}downloadByteEncodedFloatMatrixFromOutputTexture(e,t,n){return this.downloadMatrixDriver(e,()=>eE(this.gl,t,n,this.textureConfig))}downloadPackedMatrixFromBuffer(e,t,n,a,r,s){return tE(this.gl,e,t,n,a,r,s,this.textureConfig)}downloadFloat32MatrixFromBuffer(e,t){return Q_(this.gl,e,t)}createBufferFromTexture(e,t,n){this.bindTextureToFrameBuffer(e);let a=J_(this.gl,t,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),a}createAndWaitForFence(){let e=this.createFence(this.gl);return this.pollFence(e)}createFence(e){let t,n;if(H().getBool("WEBGL_FENCE_API_ENABLED")){let a=e,r=a.fenceSync(a.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),n=()=>{let s=a.clientWaitSync(r,0,0);return s===a.ALREADY_SIGNALED||s===a.CONDITION_SATISFIED},t=r}else H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(t=this.beginQuery(),this.endQuery(),n=()=>this.isQueryAvailable(t,H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))):n=()=>!0;return{query:t,isFencePassed:n}}downloadMatrixFromPackedTexture(e,t,n){return this.downloadMatrixDriver(e,()=>nE(this.gl,t,n))}createProgram(e){this.throwIfDisposed();let t=this.gl;this.vertexShader==null&&(this.vertexShader=B_(t));let n=f_(t);return me(t,()=>t.attachShader(n,this.vertexShader)),me(t,()=>t.attachShader(n,e)),g_(t,n),this.debug&&wh(t,n),this.vertexAttrsAreBound||(this.setProgram(n),this.vertexAttrsAreBound=X_(t,this.program,this.vertexBuffer)),n}deleteProgram(e){this.throwIfDisposed(),e===this.program&&(this.program=null),e!=null&&me(this.gl,()=>this.gl.deleteProgram(e))}setProgram(e){this.throwIfDisposed(),this.program=e,this.program!=null&&this.debug&&wh(this.gl,this.program),me(this.gl,()=>this.gl.useProgram(e))}getUniformLocation(e,t,n=!0){return this.throwIfDisposed(),n?I_(this.gl,e,t):S_(this.gl,e,t)}getAttributeLocation(e,t){return this.throwIfDisposed(),me(this.gl,()=>this.gl.getAttribLocation(e,t))}getUniformLocationNoThrow(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)}setInputMatrixTexture(e,t,n){this.throwIfDisposed(),this.throwIfNoProgram(),T_(this.gl,e,t,n)}setOutputMatrixTexture(e,t,n){this.setOutputMatrixTextureDriver(e,n,t)}setOutputPackedMatrixTexture(e,t,n){this.throwIfDisposed();let[a,r]=Xu(t,n);this.setOutputMatrixTextureDriver(e,a,r)}setOutputMatrixWriteRegion(e,t,n,a){this.setOutputMatrixWriteRegionDriver(n,e,a,t)}setOutputPackedMatrixWriteRegion(e,t,n,a){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")}debugValidate(){this.program!=null&&wh(this.gl,this.program),Wp(this.gl)}executeProgram(){this.throwIfDisposed(),this.throwIfNoProgram();let e=this.gl;this.debug&&this.debugValidate(),me(e,()=>e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0))}blockUntilAllProgramsCompleted(){this.throwIfDisposed(),me(this.gl,()=>this.gl.finish())}getQueryTimerExtension(){return this.disjointQueryTimerExtension==null&&(this.disjointQueryTimerExtension=zp(this.gl,H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension}getQueryTimerExtensionWebGL2(){return this.getQueryTimerExtension()}getQueryTimerExtensionWebGL1(){return this.getQueryTimerExtension()}beginQuery(){if(H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){let n=this.gl,a=this.getQueryTimerExtensionWebGL2(),r=n.createQuery();return n.beginQuery(a.TIME_ELAPSED_EXT,r),r}let e=this.getQueryTimerExtensionWebGL1(),t=e.createQueryEXT();return e.beginQueryEXT(e.TIME_ELAPSED_EXT,t),t}endQuery(){if(H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){let t=this.gl,n=this.getQueryTimerExtensionWebGL2();t.endQuery(n.TIME_ELAPSED_EXT);return}let e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}async waitForQueryAndGetTime(e){return await v.repeatedTry(()=>this.disposed||this.isQueryAvailable(e,H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))),this.getQueryTime(e,H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}getQueryTime(e,t){if(t===0)return null;if(t===2){let n=this.gl;return n.getQueryParameter(e,n.QUERY_RESULT)/1e6}else{let n=this.getQueryTimerExtensionWebGL1();return n.getQueryObjectEXT(e,n.QUERY_RESULT_EXT)/1e6}}isQueryAvailable(e,t){if(t===0)return!0;if(t===2){let n=this.gl,a=this.getQueryTimerExtensionWebGL2(),r=n.getQueryParameter(e,n.QUERY_RESULT_AVAILABLE);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(a.GPU_DISJOINT_EXT)),r&&!this.disjoint}else{let n=this.getQueryTimerExtensionWebGL1(),a=n.getQueryObjectEXT(e,n.QUERY_RESULT_AVAILABLE_EXT);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(n.GPU_DISJOINT_EXT)),a&&!this.disjoint}}pollFence(e){return new Promise(t=>{this.addItemToPoll(()=>e.isFencePassed(),()=>t())})}pollItems(){let e=JZ(this.itemsToPoll.map(t=>t.isDoneFn));for(let t=0;t<=e;++t){let{resolveFn:n}=this.itemsToPoll[t];n()}this.itemsToPoll=this.itemsToPoll.slice(e+1)}addItemToPoll(e,t){if(this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),this.itemsToPoll.length>1)return;let n;"setTimeoutCustom"in H().platform&&(n=H().platform.setTimeoutCustom.bind(H().platform)),v.repeatedTry(()=>(this.pollItems(),this.itemsToPoll.length===0),()=>0,null,n)}bindTextureToFrameBuffer(e){this.throwIfDisposed(),kh(this.gl,e,this.framebuffer),this.debug&&Wp(this.gl)}unbindTextureToFrameBuffer(){this.outputTexture!=null?(kh(this.gl,this.outputTexture,this.framebuffer),this.debug&&Wp(this.gl)):fx(this.gl,this.framebuffer)}downloadMatrixDriver(e,t){this.bindTextureToFrameBuffer(e);let n=t();return this.unbindTextureToFrameBuffer(),n}setOutputMatrixTextureDriver(e,t,n){this.throwIfDisposed();let a=this.gl;kh(a,e,this.framebuffer),this.debug&&Wp(a),this.outputTexture=e,me(a,()=>a.viewport(0,0,t,n)),me(a,()=>a.scissor(0,0,t,n))}setOutputMatrixWriteRegionDriver(e,t,n,a){this.throwIfDisposed(),me(this.gl,()=>this.gl.scissor(e,t,n,a))}throwIfDisposed(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")}throwIfNoProgram(){if(this.program==null)throw new Error("No GPU program is currently set.")}};function JZ(e){let t=0;for(;t`${e}.${n}`)}function kn(e,t){return t===1?[e]:iE(e,t)}function V7(e,t){if(e===1)return"rc";let n="";for(let a=0;a= ${this.enableShapeUniforms?"outShape":this.outputShape[0]} ? 0. : getA(rc + 1)), 0, 0`:`getA(${t[0]}), cEdge ? 0. : getA(${t[1]}), rEdge ? 0. : getA(${t[2]}), - rEdge || cEdge ? 0. : getA(${t[3]})`}},Q_=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=e,this.enableShapeUniforms=Cn(this.outputShape.length);let n="";for(let a=0;a<4;a++){let r="thisRC = rc;";a%2===1&&(r+="thisRC.z += 1;"),a>1&&(r+="thisRC.y += 1;"),n+=` + rEdge || cEdge ? 0. : getA(${t[3]})`}},oE=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=e,this.enableShapeUniforms=En(this.outputShape.length);let n="";for(let a=0;a<4;a++){let r="thisRC = rc;";a%2===1&&(r+="thisRC.z += 1;"),a>1&&(r+="thisRC.y += 1;"),n+=` ${r} ${a>0?"if(thisRC.y < rows && thisRC.z < cols){":""} int flatIndex = getFlatIndex(thisRC); @@ -1160,8 +1154,8 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims); ${a>0?"}":""} `}this.userCode=` - ${EZ(t,this.enableShapeUniforms)} - ${this.enableShapeUniforms?K0():q0(e)} + ${G7(t,this.enableShapeUniforms)} + ${this.enableShapeUniforms?J0():Z0(e)} void main() { ivec3 rc = getOutputCoords(); @@ -1176,12 +1170,12 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, setOutput(result); } - `}};function EZ(e,t){return` + `}};function G7(e,t){return` ivec3 inputCoordsFromReshapedOutCoords(int index) { - ${t?jY(["r","c","d"],"inputShape"):vo(["r","c","d"],e)} + ${t?iZ(["r","c","d"],"inputShape"):wo(["r","c","d"],e)} return ivec3(r, c, d); } - `}var AZ=class{constructor(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}acquireTexture(e,t,n){let a=lI(t,n),r=uI(e,a,n);r in this.freeTextures||(this.freeTextures[r]=[]),r in this.usedTextures||(this.usedTextures[r]=[]);let s=oI(e,a,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[r].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=s,this.log();let o=this.freeTextures[r].shift();return this.usedTextures[r].push(o),o}let i;return a===on.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):a===on.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):a===on.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):a===on.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):a===on.PACKED_4X1_UNSIGNED_BYTE&&(i=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[r].push(i),this.numUsedTextures++,this._numBytesAllocated+=s,this.log(),i}releaseTexture(e,t,n,a){if(this.freeTextures==null)return;let r=lI(n,a),s=uI(t,r,a);s in this.freeTextures||(this.freeTextures[s]=[]);let i=oI(t,r,this.gpgpu.gl,this.gpgpu.textureConfig,a),o=H().get("WEBGL_DELETE_TEXTURE_THRESHOLD");o!==-1&&this._numBytesAllocated>o?(this.gpgpu.deleteMatrixTexture(e.texture),this._numBytesAllocated-=i):(this.freeTextures[s].push(e),this.numFreeTextures++,this._numBytesFree+=i),this.numUsedTextures--;let l=this.usedTextures[s],u=l.indexOf(e);if(u<0)throw new Error("Cannot release a texture that was never provided by this texture manager");l.splice(u,1),this.log()}log(){if(!this.logEnabled)return;let e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",`${this.numFreeTextures} / ${this.numUsedTextures}`,`(${e})`);let t=this._numBytesFree/this._numBytesAllocated;console.log(`Bytes allocated: ${this._numBytesAllocated}`),console.log(`Bytes unused: ${this._numBytesFree} (${Math.round(100*t)}%)`)}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(this.freeTextures!=null){for(let e in this.freeTextures)this.freeTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t.texture)});for(let e in this.usedTextures)this.usedTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t.texture)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}};function $Z(e,t){let n=e;if(t===n.R32F)return 4;if(t===n.R16F)return 2;if(t===n.RGBA32F||t===e.RGBA)return 16;if(t===n.RGBA16F)return 8;if(t===n.RGBA8)return 4;throw new Error(`Unknown internal format ${t}`)}function oI(e,t,n,a,r){let s=FZ(t,a),i;if(r){let[l,u]=qu(e[0],e[1]);i=l*u}else{let[l,u]=sd(e[0],e[1]);i=l*u}let o=$Z(n,s);return i*o}function FZ(e,t){switch(e){case on.PACKED_2X2_FLOAT32:return Q0(t);case on.PACKED_2X2_FLOAT16:return e1(t);case on.UNPACKED_FLOAT32:return Y0(t);case on.UNPACKED_FLOAT16:return Z0(t);case on.PACKED_4X1_UNSIGNED_BYTE:return J0(t);default:throw new Error(`Unknown physical texture type ${e}`)}}function DZ(e){return H().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?on.PACKED_2X2_FLOAT32:on.UNPACKED_FLOAT32:e?on.PACKED_2X2_FLOAT16:on.UNPACKED_FLOAT16}function lI(e,t){if(e===ca.UPLOAD)return on.PACKED_2X2_FLOAT32;if(e===ca.RENDER||e==null)return DZ(t);if(e===ca.DOWNLOAD||e===ca.PIXELS)return on.PACKED_4X1_UNSIGNED_BYTE;throw new Error(`Unknown logical texture type ${e}`)}function uI(e,t,n){return`${e[0]}_${e[1]}_${t}_${n}`}var Cr=class{constructor(e,t){this.variableNames=["A"],this.outputShape=e,this.enableShapeUniforms=Cn(this.outputShape.length),this.userCode=` + `}var H7=class{constructor(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}acquireTexture(e,t,n){let a=fI(t,n),r=gI(e,a,n);r in this.freeTextures||(this.freeTextures[r]=[]),r in this.usedTextures||(this.usedTextures[r]=[]);let s=mI(e,a,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[r].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=s,this.log();let o=this.freeTextures[r].shift();return this.usedTextures[r].push(o),o}let i;return a===ln.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):a===ln.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):a===ln.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):a===ln.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):a===ln.PACKED_4X1_UNSIGNED_BYTE&&(i=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[r].push(i),this.numUsedTextures++,this._numBytesAllocated+=s,this.log(),i}releaseTexture(e,t,n,a){if(this.freeTextures==null)return;let r=fI(n,a),s=gI(t,r,a);s in this.freeTextures||(this.freeTextures[s]=[]);let i=mI(t,r,this.gpgpu.gl,this.gpgpu.textureConfig,a),o=H().get("WEBGL_DELETE_TEXTURE_THRESHOLD");o!==-1&&this._numBytesAllocated>o?(this.gpgpu.deleteMatrixTexture(e.texture),this._numBytesAllocated-=i):(this.freeTextures[s].push(e),this.numFreeTextures++,this._numBytesFree+=i),this.numUsedTextures--;let l=this.usedTextures[s],u=l.indexOf(e);if(u<0)throw new Error("Cannot release a texture that was never provided by this texture manager");l.splice(u,1),this.log()}log(){if(!this.logEnabled)return;let e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",`${this.numFreeTextures} / ${this.numUsedTextures}`,`(${e})`);let t=this._numBytesFree/this._numBytesAllocated;console.log(`Bytes allocated: ${this._numBytesAllocated}`),console.log(`Bytes unused: ${this._numBytesFree} (${Math.round(100*t)}%)`)}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(this.freeTextures!=null){for(let e in this.freeTextures)this.freeTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t.texture)});for(let e in this.usedTextures)this.usedTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t.texture)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}};function j7(e,t){let n=e;if(t===n.R32F)return 4;if(t===n.R16F)return 2;if(t===n.RGBA32F||t===e.RGBA)return 16;if(t===n.RGBA16F)return 8;if(t===n.RGBA8)return 4;throw new Error(`Unknown internal format ${t}`)}function mI(e,t,n,a,r){let s=q7(t,a),i;if(r){let[l,u]=Xu(e[0],e[1]);i=l*u}else{let[l,u]=id(e[0],e[1]);i=l*u}let o=j7(n,s);return i*o}function q7(e,t){switch(e){case ln.PACKED_2X2_FLOAT32:return a1(t);case ln.PACKED_2X2_FLOAT16:return r1(t);case ln.UNPACKED_FLOAT32:return e1(t);case ln.UNPACKED_FLOAT16:return t1(t);case ln.PACKED_4X1_UNSIGNED_BYTE:return n1(t);default:throw new Error(`Unknown physical texture type ${e}`)}}function K7(e){return H().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?ln.PACKED_2X2_FLOAT32:ln.UNPACKED_FLOAT32:e?ln.PACKED_2X2_FLOAT16:ln.UNPACKED_FLOAT16}function fI(e,t){if(e===ca.UPLOAD)return ln.PACKED_2X2_FLOAT32;if(e===ca.RENDER||e==null)return K7(t);if(e===ca.DOWNLOAD||e===ca.PIXELS)return ln.PACKED_4X1_UNSIGNED_BYTE;throw new Error(`Unknown logical texture type ${e}`)}function gI(e,t,n){return`${e[0]}_${e[1]}_${t}_${n}`}var Cr=class{constructor(e,t){this.variableNames=["A"],this.outputShape=e,this.enableShapeUniforms=En(this.outputShape.length),this.userCode=` float unaryOperation(float x) { ${t} } @@ -1192,11 +1186,11 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, setOutput(y); } - `}},Ra="if (isnan(x)) return x;",RZ="return x;",pI="return abs(x);",MZ="return (x >= 0.0) ? x : (exp(x) - 1.0);",PZ=Ra+` + `}},Ma="if (isnan(x)) return x;",X7="return x;",bI="return abs(x);",Y7="return (x >= 0.0) ? x : (exp(x) - 1.0);",Z7=Ma+` return (x < 0.0) ? 0.0 : x; -`,OZ=Ra+` +`,J7=Ma+` return (x < 0.0) ? 0.0 : min(6.0, x); -`,al="return x;",LZ="return 1.0 / (1.0 + exp(-1.0 * x));",zZ="return x;",BZ=` +`,rl="return x;",Q7="return 1.0 / (1.0 + exp(-1.0 * x));",eJ="return x;",tJ=` vec4 result; result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0); @@ -1205,7 +1199,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0); return result; -`,WZ=` +`,nJ=` vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0))); bvec4 isNaN = isnan(x); @@ -1215,7 +1209,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, result.a = isNaN.a ? x.a : result.a; return result; -`,VZ=` +`,aJ=` vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0))); bvec4 isNaN = isnan(x); @@ -1225,7 +1219,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, result.a = isNaN.a ? x.a : result.a; return result; -`,UZ="return 1.0 / (1.0 + exp(-1.0 * x));",qs=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.enableShapeUniforms=Cn(this.outputShape.length),this.userCode=` +`,rJ="return 1.0 / (1.0 + exp(-1.0 * x));",qs=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.enableShapeUniforms=En(this.outputShape.length),this.userCode=` vec4 unaryOperation(vec4 x) { ${t} } @@ -1236,17 +1230,17 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, setOutput(y); } - `}},GZ=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e,this.enableShapeUniforms=Cn(this.outputShape.length);let t=e.length,n=kn("rc",t),a=gt(t),r=CZ(t,n),s=n.slice(-2),i=t<=1?"rc":`vec2(${s.join(",")})`;this.userCode=` + `}},sJ=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e,this.enableShapeUniforms=En(this.outputShape.length);let t=e.length,n=kn("rc",t),a=gt(t),r=V7(t,n),s=n.slice(-2),i=t<=1?"rc":`vec2(${s.join(",")})`;this.userCode=` void main() { ${a} rc = getOutputCoords(); vec4 packedInput = getA(${r}); setOutput(getChannel(packedInput, ${i})); } - `}},HZ=dr.whereImpl,jZ=1e-7,qZ=1e-4,ky={};function KZ(e){return e in ky||(ky[e]={}),ky[e]}var XZ=H().getNumber("CPU_HANDOFF_SIZE_THRESHOLD"),YZ=600;function ZZ(){return H().global.screen==null?1024:H().global.screen.height*H().global.screen.width*window.devicePixelRatio*YZ/1024/1024}var qf=class extends lc{constructor(e){if(super(),this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.lastGlFlushTime=0,this.warnedAboutMemory=!1,this.pendingDeletes=0,this.disposed=!1,!H().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");let t;if(e!=null){if(e instanceof Th)t=e;else{let n=Ha(H().getNumber("WEBGL_VERSION"),e);t=new Th(n)}this.binaryCache={},this.gpgpuCreatedLocally=!1}else{let n=Ha(H().getNumber("WEBGL_VERSION"));t=new Th(n),this.binaryCache=KZ(H().getNumber("WEBGL_VERSION")),this.gpgpuCreatedLocally=!0}this.gpgpu=t,this.canvas=this.gpgpu.gl.canvas,this.textureManager=new AZ(this.gpgpu),this.numMBBeforeWarning=ZZ(),this.texData=new im(this,er())}nextDataId(){return qf.nextDataId++}numDataIds(){return this.texData.numDataIds()-this.pendingDeletes}write(e,t,n){if((H().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||H().getBool("DEBUG"))&&this.checkNumericalProblems(e),n==="complex64"&&e!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");let a={id:this.nextDataId()};return this.texData.set(a,{shape:t,dtype:n,values:e,usage:ca.UPLOAD,refCount:1}),a}refCount(e){return this.texData.has(e)?this.texData.get(e).refCount:0}incRef(e){let t=this.texData.get(e);t.refCount++}decRef(e){if(this.texData.has(e)){let t=this.texData.get(e);t.refCount--}}move(e,t,n,a,r){if(H().getBool("DEBUG")&&this.checkNumericalProblems(t),a==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:n,dtype:a,values:t,usage:ca.UPLOAD,refCount:r})}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}readSync(e){let t=this.texData.get(e),{values:n,dtype:a,complexTensorInfos:r,slice:s,shape:i,isPacked:o}=t;if(s!=null){let d;o?d=new qs(i,al):d=new Cr(i,al);let c=this.runWebGLProgram(d,[{dataId:e,shape:i,dtype:a}],a),h=this.readSync(c.dataId);return this.disposeIntermediateTensorInfo(c),h}if(n!=null)return this.convertAndCacheOnCPU(e);if(a==="string")return n;let l=this.activeTimers!=null,u;l&&(u=v.now());let p;if(a==="complex64"){let d=this.readSync(r.real.dataId),c=this.readSync(r.imag.dataId);p=N.mergeRealAndImagArrays(d,c)}else p=this.getValuesFromTexture(e);return l&&(this.downloadWaitMs+=v.now()-u),this.convertAndCacheOnCPU(e,p)}async read(e){if(this.pendingRead.has(e)){let h=this.pendingRead.get(e);return new Promise(m=>h.push(m))}let t=this.texData.get(e),{values:n,shape:a,slice:r,dtype:s,complexTensorInfos:i,isPacked:o}=t;if(r!=null){let h;o?h=new qs(a,al):h=new Cr(a,al);let m=this.runWebGLProgram(h,[{dataId:e,shape:a,dtype:s}],s),f=this.read(m.dataId);return this.disposeIntermediateTensorInfo(m),f}if(n!=null)return this.convertAndCacheOnCPU(e);if(H().getBool("DEBUG")&&!H().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&H().getNumber("WEBGL_VERSION")===2)throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");let l=null,u;if(s!=="complex64"&&H().get("WEBGL_BUFFER_SUPPORTED")){u=this.decode(e);let h=this.texData.get(u.dataId);l=this.gpgpu.createBufferFromTexture(h.texture.texture,...mh(a))}this.pendingRead.set(e,[]),s!=="complex64"&&await this.gpgpu.createAndWaitForFence();let p;if(s==="complex64"){let h=await Promise.all([this.read(i.real.dataId),this.read(i.imag.dataId)]),m=h[0],f=h[1];p=N.mergeRealAndImagArrays(m,f)}else if(l==null)p=this.getValuesFromTexture(e);else{let h=v.sizeFromShape(a);p=this.gpgpu.downloadFloat32MatrixFromBuffer(l,h)}if(u!=null&&this.disposeIntermediateTensorInfo(u),l!=null){let h=this.gpgpu.gl;me(h,()=>h.deleteBuffer(l))}let d=this.convertAndCacheOnCPU(e,p),c=this.pendingRead.get(e);return this.pendingRead.delete(e),c.forEach(h=>h(d)),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)&&er().removeDataId(e,this),this.pendingDeletes--),d}readToGPU(e,t={}){let n=this.texData.get(e),{values:a,shape:r,slice:s,dtype:i,isPacked:o,texture:l}=n;if(i==="complex64")throw new Error("Does not support reading texture for complex64 dtype.");if(s!=null){let c;o?c=new qs(r,al):c=new Cr(r,al);let h=this.runWebGLProgram(c,[{dataId:e,shape:r,dtype:i}],i),m=this.readToGPU(h,t);return this.disposeIntermediateTensorInfo(h),m}if(l==null)throw a!=null?new Error("Data is not on GPU but on CPU."):new Error("There is no data on GPU or CPU.");let u=this.decode(e,t.customTexShape),p=er().makeTensorFromTensorInfo(u),d=this.texData.get(u.dataId);return Object.assign({tensorRef:p},d.texture)}bufferSync(e){let t=this.readSync(e.dataId);if(e.dtype==="string")try{let n=t.map(a=>v.decodeString(a));return Oe(e.shape,e.dtype,n)}catch(n){throw new Error("Failed to decode encoded string bytes into utf-8")}return Oe(e.shape,e.dtype,t)}checkNumericalProblems(e){if(e!=null)for(let t=0;t0}time(e){let t=this.activeTimers,n=[],a=!1;this.programTimersStack==null?(this.programTimersStack=n,a=!0):this.activeTimers.push(n),this.activeTimers=n,e();let r=v.flatten(this.activeTimers.map(o=>o.query)).filter(o=>o!=null),s=v.flatten(this.activeTimers.map(o=>o.name)).filter(o=>o!=null);this.activeTimers=t,a&&(this.programTimersStack=null);let i={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};return(async()=>{if(H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0){let o=await Promise.all(r);i.kernelMs=v.sum(o),i.getExtraProfileInfo=()=>o.map((l,u)=>({name:s[u],ms:l})).map(l=>`${l.name}: ${l.ms}`).join(", ")}else i.kernelMs={error:"WebGL query timers are not supported in this environment."};return this.uploadWaitMs=0,this.downloadWaitMs=0,i})()}memory(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}startTimer(){return H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:v.now(),endMs:null}}endTimer(e){return H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=v.now(),e)}async getQueryTime(e){if(H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)return this.gpgpu.waitForQueryAndGetTime(e);let t=e;return t.endMs-t.startMs}disposeData(e,t=!1){if(this.pendingDisposal.has(e))return!1;if(!this.texData.has(e))return!0;if(t?this.texData.get(e).refCount=0:this.texData.get(e).refCount--,!t&&this.texData.get(e).refCount>0)return!1;if(this.pendingRead.has(e))return this.pendingDisposal.add(e),this.pendingDeletes++,!1;this.releaseGPUData(e);let{complexTensorInfos:n}=this.texData.get(e);return n!=null&&(this.disposeData(n.real.dataId,t),this.disposeData(n.imag.dataId,t)),this.texData.delete(e),!0}releaseGPUData(e){let{texture:t,dtype:n,texShape:a,usage:r,isPacked:s,slice:i}=this.texData.get(e),o=i&&i.origDataId||e,l=this.dataRefCount.get(o);l>1?this.dataRefCount.set(o,l-1):(this.dataRefCount.delete(o),t!=null&&(this.numBytesInGPU-=this.computeBytes(a,n),this.textureManager.releaseTexture(t,a,r,s)));let u=this.texData.get(e);u.texture=null,u.texShape=null,u.isPacked=!1,u.slice=null}getTexture(e){return this.uploadToGPU(e),this.texData.get(e).texture.texture}getDataInfo(e){return this.texData.get(e)}shouldExecuteOnCPU(e,t=XZ){return H().getBool("WEBGL_CPU_FORWARD")&&e.every(n=>this.texData.get(n.dataId).texture==null&&v.sizeFromShape(n.shape)0&&v.isString(n[0])){let r=n.map(s=>v.encodeString(s));a=this.write(r,e,t)}else a=this.write(n,e,t);return this.texData.get(a).usage=null,{dataId:a,shape:e,dtype:t}}makeOutput(e,t,n){return er().makeTensorFromTensorInfo(this.makeTensorInfo(e,t,n),this)}unpackTensor(e){let t=new GZ(e.shape);return this.runWebGLProgram(t,[e],e.dtype)}packTensor(e){let t=new _Z(e.shape),n=!0;return this.runWebGLProgram(t,[e],e.dtype,null,n)}packedReshape(e,t){let n=[ci(e.shape),...di(e.shape)],a={dtype:e.dtype,shape:n,dataId:e.dataId},r=[ci(t),...di(t)],s=new Q_(r,n),i=!0,o=[n],l=this.runWebGLProgram(s,[a],e.dtype,o,i);return{dataId:l.dataId,shape:t,dtype:l.dtype}}decode(e,t){let n=this.texData.get(e),{isPacked:a,shape:r,dtype:s}=n;if(t!=null){let d=v.sizeFromShape(r),c=t[0]*t[1]*4;v.assert(d<=c,()=>"customTexShape is too small. Row * Column * 4 should be equal or larger than the size of the tensor data.")}let i=kh(r),o;a?o=new D7(i):o=new F7(i);let l=!0,u=[t!=null?t:mh(i)],p=this.runWebGLProgram(o,[{shape:i,dtype:s,dataId:e}],s,u,l,t);return{dtype:s,shape:r,dataId:p.dataId}}runWebGLProgram(e,t,n,a,r=!1,s){let i=this.makeTensorInfo(e.outputShape,n),o=this.texData.get(i.dataId);if(e.packedOutput&&(o.isPacked=!0),e.outPackingScheme===nc.DENSE){let g=s!=null?s:mh(e.outputShape);o.texShape=g.map(b=>b*2)}if(e.outTexUsage!=null&&(o.usage=e.outTexUsage),v.sizeFromShape(i.shape)===0)return o.values=v.getTypedArrayFromDType(i.dtype,0),i;let l=[],u=t.map(g=>{if(g.dtype==="complex64")throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");let b=this.texData.get(g.dataId);if(b.texture==null){if(!e.packedInputs&&v.sizeFromShape(g.shape)<=H().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:g.shape,texData:null,isUniform:!0,uniformValues:b.values};e.packedInputs&&(b.isPacked=!0,b.shape=g.shape)}if(this.uploadToGPU(g.dataId),!!b.isPacked!=!!e.packedInputs)g=b.isPacked?this.unpackTensor(g):this.packTensor(g),l.push(g),b=this.texData.get(g.dataId);else if(b.isPacked&&!ac(b.shape,g.shape)){let y=g,x=g.shape;g.shape=b.shape,g=this.packedReshape(g,x),l.push(g),b=this.texData.get(g.dataId),y.shape=x}return{shape:g.shape,texData:b,isUniform:!1}});this.uploadToGPU(i.dataId);let p={shape:i.shape,texData:o,isUniform:!1},d=$7(e,u,p),c=this.getAndSaveBinary(d,()=>E7(this.gpgpu,e,u,p)),h=this.activeTimers!=null,m;h&&(m=this.startTimer()),H().get("ENGINE_COMPILE_ONLY")||A7(this.gpgpu,c,u,p,a),l.forEach(g=>this.disposeIntermediateTensorInfo(g)),h&&(m=this.endTimer(m),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(m)}));let f=H().get("WEBGL_FLUSH_THRESHOLD");if(f>0){let g=v.now();g-this.lastGlFlushTime>f&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=g)}if(!H().getBool("WEBGL_LAZILY_UNPACK")&&o.isPacked&&r===!1){let g=this.unpackTensor(i);return this.disposeIntermediateTensorInfo(i),g}return i}compileAndRun(e,t,n,a,r=!1){return n=n||t[0].dtype,this.runWebGLProgram(e,t,n,a,r)}getAndSaveBinary(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]}getTextureManager(){return this.textureManager}dispose(){this.disposed||(H().getBool("IS_TEST")||Object.keys(this.binaryCache).forEach(e=>{this.gpgpu.deleteProgram(this.binaryCache[e].webGLProgram),delete this.binaryCache[e]}),this.textureManager.dispose(),this.canvas!=null&&typeof HTMLCanvasElement!="undefined"&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0)}floatPrecision(){return this.floatPrecisionValue==null&&(this.floatPrecisionValue=P(()=>{if(!H().get("WEBGL_RENDER_FLOAT32_ENABLED")){let e=H().getBool("DEBUG");H().set("DEBUG",!1);let t=this.abs(ye(1e-8)).dataSync()[0];if(H().set("DEBUG",e),t>0)return 32}return 16})),this.floatPrecisionValue}epsilon(){return this.floatPrecision()===32?jZ:qZ}uploadToGPU(e){let t=this.texData.get(e),{shape:n,dtype:a,values:r,texture:s,usage:i,isPacked:o}=t;if(s!=null)return;let l=this.activeTimers!=null,u;l&&(u=v.now());let p=t.texShape;if(p==null&&(p=v_(n,o),t.texShape=p),r!=null){let d=kh(n),c,h=p[1],m=p[0],f=r instanceof Uint8Array||r instanceof Uint8ClampedArray;(o||!f)&&([h,m]=qu(p[0],p[1])),o?c=new O7(d,f):c=new P7(d,f);let g=f?[m,h]:p,b=this.makeTensorInfo(g,a),y=this.texData.get(b.dataId);f?y.usage=ca.PIXELS:y.usage=ca.UPLOAD,y.texShape=g,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(b.dataId),h,m,r);let x=[[m,h]],w=!0,I=this.runWebGLProgram(c,[b],a,x,w),T=this.texData.get(I.dataId);t.texShape=T.texShape,t.isPacked=T.isPacked,t.usage=T.usage,H().get("ENGINE_COMPILE_ONLY")?this.disposeData(I.dataId):(t.texture=T.texture,t.values=null,this.texData.delete(I.dataId)),this.disposeIntermediateTensorInfo(b),l&&(this.uploadWaitMs+=v.now()-u)}else{let d=this.acquireTexture(p,i,a,o);t.texture=d}}convertAndCacheOnCPU(e,t){let n=this.texData.get(e),{dtype:a}=n;return this.releaseGPUData(e),t!=null&&(n.values=JZ(t,a)),n.values}acquireTexture(e,t,n,a){if(this.numBytesInGPU+=this.computeBytes(e,n),!this.warnedAboutMemory&&this.numBytesInGPU>this.numMBBeforeWarning*1024*1024){let r=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn(`High memory usage in GPU: ${r} MB, most likely due to a memory leak`)}return this.textureManager.acquireTexture(e,t,a)}computeBytes(e,t){return e[0]*e[1]*v.bytesPerElement(t)}checkCompileCompletion(){for(let[,e]of Object.entries(this.binaryCache))this.checkCompletion_(e)}async checkCompileCompletionAsync(){let e=[];if(this.gpgpu.parallelCompilationExtension){for(let[,t]of Object.entries(this.binaryCache))e.push(this.checkCompletionAsync_(t));return Promise.all(e)}else{for(let[,t]of Object.entries(this.binaryCache)){let n=new Promise(a=>{try{this.checkCompletion_(t),a(!0)}catch(r){throw r}});e.push(n)}return Promise.all(e)}}async checkCompletionAsync_(e){return this.gpgpu.gl.getProgramParameter(e.webGLProgram,this.gpgpu.parallelCompilationExtension.COMPLETION_STATUS_KHR)?this.checkCompletion_(e):(await Yv(),this.checkCompletionAsync_(e))}checkCompletion_(e){if(this.gpgpu.gl.getProgramParameter(e.webGLProgram,this.gpgpu.gl.LINK_STATUS)===!1)throw console.log(this.gpgpu.gl.getProgramInfoLog(e.webGLProgram)),this.gpgpu.gl.getShaderParameter(e.fragmentShader,this.gpgpu.gl.COMPILE_STATUS)===!1?(j0(e.source,this.gpgpu.gl.getShaderInfoLog(e.fragmentShader)),new Error("Failed to compile fragment shader.")):new Error("Failed to link vertex and fragment shaders.");return!0}getUniformLocations(){for(let[,e]of Object.entries(this.binaryCache)){let{uniformLocations:t,customUniformLocations:n,infLoc:a,nanLoc:r,inShapesLocations:s,inTexShapesLocations:i,outShapeLocation:o,outShapeStridesLocation:l,outTexShapeLocation:u}=$_(this.gpgpu,e.program,e.webGLProgram);e.uniformLocations=t,e.customUniformLocations=n,e.infLoc=a,e.nanLoc=r,e.inShapesLocations=s,e.inTexShapesLocations=i,e.outShapeLocation=o,e.outShapeStridesLocation=l,e.outTexShapeLocation=u}}};qf.nextDataId=0;function JZ(e,t){if(t==="float32"||t==="complex64")return e;if(t==="int32"||t==="bool"){let n=t==="int32"?new Int32Array(e.length):new Uint8Array(e.length);for(let a=0;anew qf,2);var eJ={forceHalfFloat:eE},n1=` + `}},iJ=hr.whereImpl,oJ=1e-7,lJ=1e-4,Sy={};function uJ(e){return e in Sy||(Sy[e]={}),Sy[e]}var pJ=H().getNumber("CPU_HANDOFF_SIZE_THRESHOLD"),cJ=600;function dJ(){return H().global.screen==null?1024:H().global.screen.height*H().global.screen.width*window.devicePixelRatio*cJ/1024/1024}var Xf=class extends pc{constructor(e){if(super(),this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.lastGlFlushTime=0,this.warnedAboutMemory=!1,this.pendingDeletes=0,this.disposed=!1,!H().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");let t;if(e!=null){if(e instanceof Th)t=e;else{let n=qa(H().getNumber("WEBGL_VERSION"),e);t=new Th(n)}this.binaryCache={},this.gpgpuCreatedLocally=!1}else{let n=qa(H().getNumber("WEBGL_VERSION"));t=new Th(n),this.binaryCache=uJ(H().getNumber("WEBGL_VERSION")),this.gpgpuCreatedLocally=!0}this.gpgpu=t,this.canvas=this.gpgpu.gl.canvas,this.textureManager=new H7(this.gpgpu),this.numMBBeforeWarning=dJ(),this.texData=new om(this,_a())}nextDataId(){return Xf.nextDataId++}numDataIds(){return this.texData.numDataIds()-this.pendingDeletes}writeTexture(e,t,n,a,r,s){let i=this.makeTensorInfo(t,n),o=this.texData.get(i.dataId);o.isPacked=!1,o.texture={texture:e,texShape:[a,r]},o.texShape=[a,r];let l=Bp(t),u=new hI(l,!1,s),p=this.runWebGLProgram(u,[i],n,[[a,r]]);return p.shape=t,o.texture=null,this.disposeIntermediateTensorInfo(i),p.dataId}write(e,t,n){if((H().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||H().getBool("DEBUG"))&&this.checkNumericalProblems(e),n==="complex64"&&e!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");let a={id:this.nextDataId()};return this.texData.set(a,{shape:t,dtype:n,values:e,usage:ca.UPLOAD,refCount:1}),a}refCount(e){return this.texData.has(e)?this.texData.get(e).refCount:0}incRef(e){let t=this.texData.get(e);t.refCount++}decRef(e){if(this.texData.has(e)){let t=this.texData.get(e);t.refCount--}}move(e,t,n,a,r){if(H().getBool("DEBUG")&&this.checkNumericalProblems(t),a==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:n,dtype:a,values:t,usage:ca.UPLOAD,refCount:r})}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}readSync(e){let t=this.texData.get(e),{values:n,dtype:a,complexTensorInfos:r,slice:s,shape:i,isPacked:o}=t;if(s!=null){let d;o?d=new qs(i,rl):d=new Cr(i,rl);let c=this.runWebGLProgram(d,[{dataId:e,shape:i,dtype:a}],a),h=this.readSync(c.dataId);return this.disposeIntermediateTensorInfo(c),h}if(n!=null)return this.convertAndCacheOnCPU(e);if(a==="string")return n;let l=this.activeTimers!=null,u;l&&(u=v.now());let p;if(a==="complex64"){let d=this.readSync(r.real.dataId),c=this.readSync(r.imag.dataId);p=N.mergeRealAndImagArrays(d,c)}else p=this.getValuesFromTexture(e);return l&&(this.downloadWaitMs+=v.now()-u),this.convertAndCacheOnCPU(e,p)}async read(e){if(this.pendingRead.has(e)){let h=this.pendingRead.get(e);return new Promise(m=>h.push(m))}let t=this.texData.get(e),{values:n,shape:a,slice:r,dtype:s,complexTensorInfos:i,isPacked:o}=t;if(r!=null){let h;o?h=new qs(a,rl):h=new Cr(a,rl);let m=this.runWebGLProgram(h,[{dataId:e,shape:a,dtype:s}],s),f=this.read(m.dataId);return this.disposeIntermediateTensorInfo(m),f}if(n!=null)return this.convertAndCacheOnCPU(e);if(H().getBool("DEBUG")&&!H().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&H().getNumber("WEBGL_VERSION")===2)throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");let l=null,u;if(s!=="complex64"&&H().get("WEBGL_BUFFER_SUPPORTED")){u=this.decode(e);let h=this.texData.get(u.dataId);l=this.gpgpu.createBufferFromTexture(h.texture.texture,...fh(a))}this.pendingRead.set(e,[]),s!=="complex64"&&await this.gpgpu.createAndWaitForFence();let p;if(s==="complex64"){let h=await Promise.all([this.read(i.real.dataId),this.read(i.imag.dataId)]),m=h[0],f=h[1];p=N.mergeRealAndImagArrays(m,f)}else if(l==null)p=this.getValuesFromTexture(e);else{let h=v.sizeFromShape(a);p=this.gpgpu.downloadFloat32MatrixFromBuffer(l,h)}if(u!=null&&this.disposeIntermediateTensorInfo(u),l!=null){let h=this.gpgpu.gl;me(h,()=>h.deleteBuffer(l))}let d=this.convertAndCacheOnCPU(e,p),c=this.pendingRead.get(e);return this.pendingRead.delete(e),c.forEach(h=>h(d)),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)&&_a().removeDataId(e,this),this.pendingDeletes--),d}readToGPU(e,t={}){let n=this.texData.get(e),{values:a,shape:r,slice:s,dtype:i,isPacked:o,texture:l}=n;if(i==="complex64")throw new Error("Does not support reading texture for complex64 dtype.");if(s!=null){let c;o?c=new qs(r,rl):c=new Cr(r,rl);let h=this.runWebGLProgram(c,[{dataId:e,shape:r,dtype:i}],i),m=this.readToGPU(h,t);return this.disposeIntermediateTensorInfo(h),m}if(l==null)throw a!=null?new Error("Data is not on GPU but on CPU."):new Error("There is no data on GPU or CPU.");let u=this.decode(e,t.customTexShape),p=_a().makeTensorFromTensorInfo(u),d=this.texData.get(u.dataId);return Object.assign({tensorRef:p},d.texture)}bufferSync(e){let t=this.readSync(e.dataId);if(e.dtype==="string")try{let n=t.map(a=>v.decodeString(a));return Oe(e.shape,e.dtype,n)}catch(n){throw new Error("Failed to decode encoded string bytes into utf-8")}return Oe(e.shape,e.dtype,t)}checkNumericalProblems(e){if(e!=null)for(let t=0;t0}time(e){let t=this.activeTimers,n=[],a=!1;this.programTimersStack==null?(this.programTimersStack=n,a=!0):this.activeTimers.push(n),this.activeTimers=n,e();let r=v.flatten(this.activeTimers.map(o=>o.query)).filter(o=>o!=null),s=v.flatten(this.activeTimers.map(o=>o.name)).filter(o=>o!=null);this.activeTimers=t,a&&(this.programTimersStack=null);let i={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};return(async()=>{if(H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0){let o=await Promise.all(r);i.kernelMs=v.sum(o),i.getExtraProfileInfo=()=>o.map((l,u)=>({name:s[u],ms:l})).map(l=>`${l.name}: ${l.ms}`).join(", ")}else i.kernelMs={error:"WebGL query timers are not supported in this environment."};return this.uploadWaitMs=0,this.downloadWaitMs=0,i})()}memory(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}startTimer(){return H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:v.now(),endMs:null}}endTimer(e){return H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=v.now(),e)}async getQueryTime(e){if(H().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)return this.gpgpu.waitForQueryAndGetTime(e);let t=e;return t.endMs-t.startMs}disposeData(e,t=!1){if(this.pendingDisposal.has(e))return!1;if(!this.texData.has(e))return!0;if(t?this.texData.get(e).refCount=0:this.texData.get(e).refCount--,!t&&this.texData.get(e).refCount>0)return!1;if(this.pendingRead.has(e))return this.pendingDisposal.add(e),this.pendingDeletes++,!1;this.releaseGPUData(e);let{complexTensorInfos:n}=this.texData.get(e);return n!=null&&(this.disposeData(n.real.dataId,t),this.disposeData(n.imag.dataId,t)),this.texData.delete(e),!0}releaseGPUData(e){let{texture:t,dtype:n,texShape:a,usage:r,isPacked:s,slice:i}=this.texData.get(e),o=i&&i.origDataId||e,l=this.dataRefCount.get(o);l>1?this.dataRefCount.set(o,l-1):(this.dataRefCount.delete(o),t!=null&&(this.numBytesInGPU-=this.computeBytes(a,n),this.textureManager.releaseTexture(t,a,r,s)));let u=this.texData.get(e);u.texture=null,u.texShape=null,u.isPacked=!1,u.slice=null}getTexture(e){return this.uploadToGPU(e),this.texData.get(e).texture.texture}getDataInfo(e){return this.texData.get(e)}shouldExecuteOnCPU(e,t=pJ){return H().getBool("WEBGL_CPU_FORWARD")&&e.every(n=>this.texData.get(n.dataId).texture==null&&v.sizeFromShape(n.shape)0&&v.isString(n[0])){let r=n.map(s=>v.encodeString(s));a=this.write(r,e,t)}else a=this.write(n,e,t);return this.texData.get(a).usage=null,{dataId:a,shape:e,dtype:t}}makeOutput(e,t,n){return _a().makeTensorFromTensorInfo(this.makeTensorInfo(e,t,n),this)}unpackTensor(e){let t=new sJ(e.shape);return this.runWebGLProgram(t,[e],e.dtype)}packTensor(e){let t=new U7(e.shape),n=!0;return this.runWebGLProgram(t,[e],e.dtype,null,n)}packedReshape(e,t){let n=[ci(e.shape),...di(e.shape)],a={dtype:e.dtype,shape:n,dataId:e.dataId},r=[ci(t),...di(t)],s=new oE(r,n),i=!0,o=[n],l=this.runWebGLProgram(s,[a],e.dtype,o,i);return{dataId:l.dataId,shape:t,dtype:l.dtype}}decode(e,t){let n=this.texData.get(e),{isPacked:a,shape:r,dtype:s}=n;if(t!=null){let d=v.sizeFromShape(r),c=t[0]*t[1]*4;v.assert(d<=c,()=>"customTexShape is too small. Row * Column * 4 should be equal or larger than the size of the tensor data.")}let i=Bp(r),o;a?o=new qZ(i):o=new jZ(i);let l=!0,u=[t!=null?t:fh(i)],p=this.runWebGLProgram(o,[{shape:i,dtype:s,dataId:e}],s,u,l,t);return{dtype:s,shape:r,dataId:p.dataId}}runWebGLProgram(e,t,n,a,r=!1,s){let i=this.makeTensorInfo(e.outputShape,n),o=this.texData.get(i.dataId);if(e.packedOutput&&(o.isPacked=!0),e.outPackingScheme===rc.DENSE){let g=s!=null?s:fh(e.outputShape);o.texShape=g.map(b=>b*2)}if(e.outTexUsage!=null&&(o.usage=e.outTexUsage),v.sizeFromShape(i.shape)===0)return o.values=v.getTypedArrayFromDType(i.dtype,0),i;let l=[],u=t.map(g=>{if(g.dtype==="complex64")throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");let b=this.texData.get(g.dataId);if(b.texture==null){if(!e.packedInputs&&v.sizeFromShape(g.shape)<=H().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:g.shape,texData:null,isUniform:!0,uniformValues:b.values};e.packedInputs&&(b.isPacked=!0,b.shape=g.shape)}if(this.uploadToGPU(g.dataId),!!b.isPacked!=!!e.packedInputs)g=b.isPacked?this.unpackTensor(g):this.packTensor(g),l.push(g),b=this.texData.get(g.dataId);else if(b.isPacked&&!sc(b.shape,g.shape)){let y=g,x=g.shape;g.shape=b.shape,g=this.packedReshape(g,x),l.push(g),b=this.texData.get(g.dataId),y.shape=x}return{shape:g.shape,texData:b,isUniform:!1}});this.uploadToGPU(i.dataId);let p={shape:i.shape,texData:o,isUniform:!1},d=HZ(e,u,p),c=this.getAndSaveBinary(d,()=>UZ(this.gpgpu,e,u,p)),h=this.activeTimers!=null,m;h&&(m=this.startTimer()),H().get("ENGINE_COMPILE_ONLY")||GZ(this.gpgpu,c,u,p,a),l.forEach(g=>this.disposeIntermediateTensorInfo(g)),h&&(m=this.endTimer(m),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(m)}));let f=H().get("WEBGL_FLUSH_THRESHOLD");if(f>0){let g=v.now();g-this.lastGlFlushTime>f&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=g)}if(!H().getBool("WEBGL_LAZILY_UNPACK")&&o.isPacked&&r===!1){let g=this.unpackTensor(i);return this.disposeIntermediateTensorInfo(i),g}return i}compileAndRun(e,t,n,a,r=!1){return n=n||t[0].dtype,this.runWebGLProgram(e,t,n,a,r)}getAndSaveBinary(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]}getTextureManager(){return this.textureManager}dispose(){this.disposed||(H().getBool("IS_TEST")||Object.keys(this.binaryCache).forEach(e=>{this.gpgpu.deleteProgram(this.binaryCache[e].webGLProgram),delete this.binaryCache[e]}),this.textureManager.dispose(),this.canvas!=null&&typeof HTMLCanvasElement!="undefined"&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0)}floatPrecision(){return this.floatPrecisionValue==null&&(this.floatPrecisionValue=P(()=>{if(!H().get("WEBGL_RENDER_FLOAT32_ENABLED")){let e=H().getBool("DEBUG");H().set("DEBUG",!1);let t=this.abs(ye(1e-8)).dataSync()[0];if(H().set("DEBUG",e),t>0)return 32}return 16})),this.floatPrecisionValue}epsilon(){return this.floatPrecision()===32?oJ:lJ}uploadToGPU(e){let t=this.texData.get(e),{shape:n,dtype:a,values:r,texture:s,usage:i,isPacked:o}=t;if(s!=null)return;let l=this.activeTimers!=null,u;l&&(u=v.now());let p=t.texShape;if(p==null&&(p=__(n,o),t.texShape=p),r!=null){let d=Bp(n),c,h=p[1],m=p[0],f=r instanceof Uint8Array||r instanceof Uint8ClampedArray;(o||!f)&&([h,m]=Xu(p[0],p[1])),o?c=new ZZ(d,f):c=new hI(d,f);let g=f?[m,h]:p,b=this.makeTensorInfo(g,a),y=this.texData.get(b.dataId);f?y.usage=ca.PIXELS:y.usage=ca.UPLOAD,y.texShape=g,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(b.dataId),h,m,r);let x=[[m,h]],w=!0,I=this.runWebGLProgram(c,[b],a,x,w),T=this.texData.get(I.dataId);t.texShape=T.texShape,t.isPacked=T.isPacked,t.usage=T.usage,H().get("ENGINE_COMPILE_ONLY")?this.disposeData(I.dataId):(t.texture=T.texture,t.values=null,this.texData.delete(I.dataId)),this.disposeIntermediateTensorInfo(b),l&&(this.uploadWaitMs+=v.now()-u)}else{let d=this.acquireTexture(p,i,a,o);t.texture=d}}convertAndCacheOnCPU(e,t){let n=this.texData.get(e),{dtype:a}=n;return this.releaseGPUData(e),t!=null&&(n.values=hJ(t,a)),n.values}acquireTexture(e,t,n,a){if(this.numBytesInGPU+=this.computeBytes(e,n),!this.warnedAboutMemory&&this.numBytesInGPU>this.numMBBeforeWarning*1024*1024){let r=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn(`High memory usage in GPU: ${r} MB, most likely due to a memory leak`)}return this.textureManager.acquireTexture(e,t,a)}computeBytes(e,t){return e[0]*e[1]*v.bytesPerElement(t)}checkCompileCompletion(){for(let[,e]of Object.entries(this.binaryCache))this.checkCompletion_(e)}async checkCompileCompletionAsync(){let e=[];if(this.gpgpu.parallelCompilationExtension){for(let[,t]of Object.entries(this.binaryCache))e.push(this.checkCompletionAsync_(t));return Promise.all(e)}else{for(let[,t]of Object.entries(this.binaryCache)){let n=new Promise(a=>{try{this.checkCompletion_(t),a(!0)}catch(r){throw r}});e.push(n)}return Promise.all(e)}}async checkCompletionAsync_(e){return this.gpgpu.gl.getProgramParameter(e.webGLProgram,this.gpgpu.parallelCompilationExtension.COMPLETION_STATUS_KHR)?this.checkCompletion_(e):(await Jv(),this.checkCompletionAsync_(e))}checkCompletion_(e){if(this.gpgpu.gl.getProgramParameter(e.webGLProgram,this.gpgpu.gl.LINK_STATUS)===!1)throw console.log(this.gpgpu.gl.getProgramInfoLog(e.webGLProgram)),this.gpgpu.gl.getShaderParameter(e.fragmentShader,this.gpgpu.gl.COMPILE_STATUS)===!1?(Y0(e.source,this.gpgpu.gl.getShaderInfoLog(e.fragmentShader)),new Error("Failed to compile fragment shader.")):new Error("Failed to link vertex and fragment shaders.");return!0}getUniformLocations(){for(let[,e]of Object.entries(this.binaryCache)){let{uniformLocations:t,customUniformLocations:n,infLoc:a,nanLoc:r,inShapesLocations:s,inTexShapesLocations:i,outShapeLocation:o,outShapeStridesLocation:l,outTexShapeLocation:u}=z_(this.gpgpu,e.program,e.webGLProgram);e.uniformLocations=t,e.customUniformLocations=n,e.infLoc=a,e.nanLoc=r,e.inShapesLocations=s,e.inTexShapesLocations=i,e.outShapeLocation=o,e.outShapeStridesLocation=l,e.outTexShapeLocation=u}}createTensorFromTexture(e,t,n){let{texture:a,height:r,width:s,channels:i}=e,o=_a().backend;if(!o.gpgpu.gl.isTexture(a))throw new Error("The texture is invalid. Also, please make sure the texture and the TFJS WebGL backend are using the same canvas. If you want to use your own custom canvas, you have to create and use the custom TFJS WebGL backend created from the canvas through 'new tf.MathBackendWebGL(customCanvas)'.");let l=o.writeTexture(a,t,n,r,s,i);return _a().makeTensorFromDataId(l,t,n,o)}};Xf.nextDataId=0;function hJ(e,t){if(t==="float32"||t==="complex64")return e;if(t==="int32"||t==="bool"){let n=t==="int32"?new Int32Array(e.length):new Uint8Array(e.length);for(let a=0;anew Xf,2);var fJ={forceHalfFloat:lE},i1=` if (isnan(a)) return a; if (isnan(b)) return b; -`,El=class{constructor(e,t,n){this.variableNames=["A","B"],this.outputShape=N.assertAndGetBroadcastShape(t,n),this.enableShapeUniforms=Cn(this.outputShape.length),this.userCode=` +`,$l=class{constructor(e,t,n){this.variableNames=["A","B"],this.outputShape=N.assertAndGetBroadcastShape(t,n),this.enableShapeUniforms=En(this.outputShape.length),this.userCode=` float binaryOperation(float a, float b) { ${e} } @@ -1256,12 +1250,12 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, float b = getBAtOutCoords(); setOutput(binaryOperation(a, b)); } - `}},od=` + `}},ld=` result.r = isNaN.r ? NAN : result.r; result.g = isNaN.g ? NAN : result.g; result.b = isNaN.b ? NAN : result.b; result.a = isNaN.a ? NAN : result.a; -`,ld=class{constructor(e,t,n,a=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=N.assertAndGetBroadcastShape(t,n);let r=this.outputShape.length;this.enableShapeUniforms=Cn(r);let s="";if(a)if(r===0||v.sizeFromShape(this.outputShape)===1)s=` +`,ud=class{constructor(e,t,n,a=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=N.assertAndGetBroadcastShape(t,n);let r=this.outputShape.length;this.enableShapeUniforms=En(r);let s="";if(a)if(r===0||v.sizeFromShape(this.outputShape)===1)s=` result.y = 0.; result.z = 0.; result.w = 0.; @@ -1305,13 +1299,13 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, setOutput(result); } - `}};function na(e){let{inputs:t,backend:n}=e,{x:a}=t;return n.incRef(a.dataId),{dataId:a.dataId,shape:a.shape,dtype:a.dtype}}var tJ={kernelName:Ri,backendName:"webgl",kernelFunc:na};function _s(e){let{inputs:t,backend:n}=e,{real:a,imag:r}=t,s=n.makeTensorInfo(a.shape,"complex64"),i=n.texData.get(s.dataId),o=na({inputs:{x:a},backend:n}),l=na({inputs:{x:r},backend:n});return i.complexTensorInfos={real:o,imag:l},s}var nJ={kernelName:hm,backendName:"webgl",kernelFunc:_s},tE="return (a < 0.) ? b * a : a;",nE=` + `}};function aa(e){let{inputs:t,backend:n}=e,{x:a}=t;return n.incRef(a.dataId),{dataId:a.dataId,shape:a.shape,dtype:a.dtype}}var gJ={kernelName:Ri,backendName:"webgl",kernelFunc:aa};function _s(e){let{inputs:t,backend:n}=e,{real:a,imag:r}=t,s=n.makeTensorInfo(a.shape,"complex64"),i=n.texData.get(s.dataId),o=aa({inputs:{x:a},backend:n}),l=aa({inputs:{x:r},backend:n});return i.complexTensorInfos={real:o,imag:l},s}var bJ={kernelName:mm,backendName:"webgl",kernelFunc:_s},uE="return (a < 0.) ? b * a : a;",pE=` vec4 aLessThanZero = vec4(lessThan(a, vec4(0.))); return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a); -`;function aJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{alpha:s}=a,i=n.makeTensorInfo([],"float32",v.createScalarValue(s,"float32")),o=H().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new ld(nE,r.shape,i.shape):new El(tE,r.shape,i.shape),l=n.runWebGLProgram(o,[r,i],"float32");return n.disposeIntermediateTensorInfo(i),l}var rJ={kernelName:Mi,backendName:"webgl",kernelFunc:aJ},aE="return (a < 0.) ? b * a : a;",rE=` +`;function yJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{alpha:s}=a,i=n.makeTensorInfo([],"float32",v.createScalarValue(s,"float32")),o=H().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new ud(pE,r.shape,i.shape):new $l(uE,r.shape,i.shape),l=n.runWebGLProgram(o,[r,i],"float32");return n.disposeIntermediateTensorInfo(i),l}var xJ={kernelName:Mi,backendName:"webgl",kernelFunc:yJ},cE="return (a < 0.) ? b * a : a;",dE=` vec4 aLessThanZero = vec4(lessThan(a, vec4(0.))); return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a); -`;function sJ(e){let{inputs:t,backend:n}=e,{x:a,alpha:r}=t,s=H().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new ld(rE,a.shape,r.shape):new El(aE,a.shape,r.shape);return n.runWebGLProgram(s,[a,r],"float32")}var iJ={kernelName:Ki,backendName:"webgl",kernelFunc:sJ},Qu="if (isnan(x)) return x;";function Ye({opSnippet:e,packedOpSnippet:t,cpuKernelImpl:n,dtype:a}){return({inputs:r,backend:s})=>{let{x:i}=r,o=s,l=a||i.dtype;if(o.shouldExecuteOnCPU([i])&&n!=null){let d=o.texData.get(i.dataId),c=n(d.values,l);return o.makeTensorInfo(i.shape,l,c)}let u=H().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&t!=null,p;return u?p=new qs(i.shape,t):p=new Cr(i.shape,e),o.runWebGLProgram(p,[i],l)}}function pn({opSnippet:e,packedOpSnippet:t,checkOutOfBounds:n=!1,supportsComplex:a=!1,cpuKernelImpl:r,dtype:s}){return({inputs:i,backend:o})=>{let{a:l,b:u}=i,p=o;if(a&&l.dtype==="complex64"){let m=p.texData.get(l.dataId),f=p.texData.get(u.dataId),[g,b]=[[m.complexTensorInfos.real,f.complexTensorInfos.real],[m.complexTensorInfos.imag,f.complexTensorInfos.imag]].map(x=>{let[w,I]=x,T={dataId:w.dataId,dtype:w.dtype,shape:l.shape},C={dataId:I.dataId,dtype:I.dtype,shape:u.shape},E=new El(e,l.shape,u.shape);return p.runWebGLProgram(E,[T,C],ma(w.dtype,I.dtype))}),y=_s({inputs:{real:g,imag:b},backend:p});return p.disposeIntermediateTensorInfo(g),p.disposeIntermediateTensorInfo(b),y}let d=s||ma(l.dtype,u.dtype);if((l.dtype==="string"||u.dtype==="string"||p.shouldExecuteOnCPU([l,u]))&&r!=null){let m=p.texData.get(l.dataId).values,f=p.texData.get(u.dataId).values,g=l.dtype==="string"?N.fromUint8ToStringArray(m):m,b=l.dtype==="string"?N.fromUint8ToStringArray(f):f,[y,x]=r(l.shape,u.shape,g,b,d),w=p.makeTensorInfo(x,d),I=p.texData.get(w.dataId);return I.values=y,w}let c=H().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&t!=null,h;return c?h=new ld(t,l.shape,u.shape,n):h=new El(e,l.shape,u.shape),p.runWebGLProgram(h,[l,u],d)}}function rc(e,t=!1){if(e==="linear")return t?zZ:RZ;if(e==="relu")return t?WZ:PZ;if(e==="elu")return t?BZ:MZ;if(e==="relu6")return t?VZ:OZ;if(e==="prelu")return t?rE:aE;if(e==="leakyrelu")return t?nE:tE;if(e==="sigmoid")return t?UZ:LZ;throw new Error(`Activation ${e} has not been implemented for the WebGL backend.`)}var sE=class{constructor(e,t,n,a=!1,r=!1,s=!1,i=null,o=!1,l=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n,this.enableShapeUniforms=Cn(this.outputShape.length);let u=a?e[1]:e[2],p=Math.ceil(u/2),d=a?"i * 2, rc.y":"rc.y, i * 2",c=r?"rc.z, i * 2":"i * 2, rc.z",h=a?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],m=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],f="",g="";i&&(o?f=`vec4 activation(vec4 a) { +`;function vJ(e){let{inputs:t,backend:n}=e,{x:a,alpha:r}=t,s=H().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new ud(dE,a.shape,r.shape):new $l(cE,a.shape,r.shape);return n.runWebGLProgram(s,[a,r],"float32")}var wJ={kernelName:Ki,backendName:"webgl",kernelFunc:vJ},tp="if (isnan(x)) return x;";function Ye({opSnippet:e,packedOpSnippet:t,cpuKernelImpl:n,dtype:a}){return({inputs:r,backend:s})=>{let{x:i}=r,o=s,l=a||i.dtype;if(o.shouldExecuteOnCPU([i])&&n!=null){let d=o.texData.get(i.dataId),c=n(d.values,l);return o.makeTensorInfo(i.shape,l,c)}let u=H().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&t!=null,p;return u?p=new qs(i.shape,t):p=new Cr(i.shape,e),o.runWebGLProgram(p,[i],l)}}function cn({opSnippet:e,packedOpSnippet:t,checkOutOfBounds:n=!1,supportsComplex:a=!1,cpuKernelImpl:r,dtype:s}){return({inputs:i,backend:o})=>{let{a:l,b:u}=i,p=o;if(a&&l.dtype==="complex64"){let m=p.texData.get(l.dataId),f=p.texData.get(u.dataId),[g,b]=[[m.complexTensorInfos.real,f.complexTensorInfos.real],[m.complexTensorInfos.imag,f.complexTensorInfos.imag]].map(x=>{let[w,I]=x,T={dataId:w.dataId,dtype:w.dtype,shape:l.shape},C={dataId:I.dataId,dtype:I.dtype,shape:u.shape},E=new $l(e,l.shape,u.shape);return p.runWebGLProgram(E,[T,C],fa(w.dtype,I.dtype))}),y=_s({inputs:{real:g,imag:b},backend:p});return p.disposeIntermediateTensorInfo(g),p.disposeIntermediateTensorInfo(b),y}let d=s||fa(l.dtype,u.dtype);if((l.dtype==="string"||u.dtype==="string"||p.shouldExecuteOnCPU([l,u]))&&r!=null){let m=p.texData.get(l.dataId).values,f=p.texData.get(u.dataId).values,g=l.dtype==="string"?N.fromUint8ToStringArray(m):m,b=l.dtype==="string"?N.fromUint8ToStringArray(f):f,[y,x]=r(l.shape,u.shape,g,b,d),w=p.makeTensorInfo(x,d),I=p.texData.get(w.dataId);return I.values=y,w}let c=H().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&t!=null,h;return c?h=new ud(t,l.shape,u.shape,n):h=new $l(e,l.shape,u.shape),p.runWebGLProgram(h,[l,u],d)}}function ic(e,t=!1){if(e==="linear")return t?eJ:X7;if(e==="relu")return t?nJ:Z7;if(e==="elu")return t?tJ:Y7;if(e==="relu6")return t?aJ:J7;if(e==="prelu")return t?dE:cE;if(e==="leakyrelu")return t?pE:uE;if(e==="sigmoid")return t?rJ:Q7;throw new Error(`Activation ${e} has not been implemented for the WebGL backend.`)}var hE=class{constructor(e,t,n,a=!1,r=!1,s=!1,i=null,o=!1,l=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n,this.enableShapeUniforms=En(this.outputShape.length);let u=a?e[1]:e[2],p=Math.ceil(u/2),d=a?"i * 2, rc.y":"rc.y, i * 2",c=r?"rc.z, i * 2":"i * 2, rc.z",h=a?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],m=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],f="",g="";i&&(o?f=`vec4 activation(vec4 a) { vec4 b = getPreluActivationWeightsAtOutCoords(); ${i} }`:l?f=`vec4 activation(vec4 a) { @@ -1350,7 +1344,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, setOutput(result); } - `}},cI={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"},dI=class{constructor(e,t,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=N.assertAndGetBroadcastShape(t,n),this.userCode=` + `}},yI={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"},xI=class{constructor(e,t,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=N.assertAndGetBroadcastShape(t,n),this.userCode=` float binaryOpComplex( float areal, float aimag, float breal, float bimag) { ${e} @@ -1363,7 +1357,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, float bimag = getBImagAtOutCoords(); setOutput(binaryOpComplex(areal, aimag, breal, bimag)); } - `}},hI="return a * b;";function a1(e){let{inputs:t,backend:n}=e,{a,b:r}=t,s=N.upcastType(a.dtype,r.dtype);if(a.dtype==="complex64"){let o=n.texData.get(a.dataId),l=n.texData.get(r.dataId),u=new dI(cI.REAL,a.shape,r.shape),p=new dI(cI.IMAG,a.shape,r.shape),d=[{dataId:o.complexTensorInfos.real.dataId,dtype:o.complexTensorInfos.real.dtype,shape:a.shape},{dataId:o.complexTensorInfos.imag.dataId,dtype:o.complexTensorInfos.imag.dtype,shape:a.shape},{dataId:l.complexTensorInfos.real.dataId,dtype:l.complexTensorInfos.real.dtype,shape:r.shape},{dataId:l.complexTensorInfos.imag.dataId,dtype:l.complexTensorInfos.imag.dtype,shape:r.shape}],c=n.runWebGLProgram(u,d,"float32"),h=n.runWebGLProgram(p,d,"float32"),m=_s({inputs:{real:c,imag:h},backend:n});return n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(h),m}if(n.shouldExecuteOnCPU([a,r])){let o=n.texData.get(a.dataId),l=n.texData.get(r.dataId),[u,p]=sZ(a.shape,r.shape,o.values,l.values,s),d=n.makeTensorInfo(p,s),c=n.texData.get(d.dataId);return c.values=u,d}let i;return H().getBool("WEBGL_PACK_BINARY_OPERATIONS")?i=new ld(hI,a.shape,r.shape):i=new El(hI,a.shape,r.shape),n.runWebGLProgram(i,[a,r],s)}var oJ={kernelName:Gi,backendName:"webgl",kernelFunc:a1};function lJ(e,t,n){let a=[ci(e.shape),...di(e.shape)],r={dtype:e.dtype,shape:a,dataId:e.dataId},s=[ci(t),...di(t)],i=new Q_(s,a),o=!0,l=[a],u=n.runWebGLProgram(i,[r],e.dtype,l,o);return{dataId:u.dataId,shape:t,dtype:u.dtype}}function de(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{shape:s}=a,i=n,o=v.sizeFromShape(r.shape),l=v.inferFromImplicitShape(s,o),u=v.sizeFromShape(l);v.assert(o===u,()=>`The new shape (${l}) has ${u} elements and the old shape (${r.shape}) has ${o} elements. The new shape and old shape must have the same number of elements.`);let p=i.texData.get(r.dataId);return p.isPacked&&!ac(r.shape,l)&&!(p.texture!==null&&ac(p.shape,l))?lJ(r,l,i):(i.incRef(r.dataId),{dataId:r.dataId,shape:l,dtype:r.dtype})}var uJ={kernelName:yu,backendName:"webgl",kernelFunc:de},mI=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:a,inSize:r,outSize:s}=e;this.outputShape=[a,s];let i=Math.floor(n/4)*4,o=n%4,l="sumValue += dot(values, ones);";if(t!=null){let p=1/t;l=`sumValue += dot(values * ${v.isInt(p)?p.toPrecision(2):p}, ones);`}let u="";r%n>0&&(u=` + `}},vI="return a * b;";function o1(e){let{inputs:t,backend:n}=e,{a,b:r}=t,s=N.upcastType(a.dtype,r.dtype);if(a.dtype==="complex64"){let o=n.texData.get(a.dataId),l=n.texData.get(r.dataId),u=new xI(yI.REAL,a.shape,r.shape),p=new xI(yI.IMAG,a.shape,r.shape),d=[{dataId:o.complexTensorInfos.real.dataId,dtype:o.complexTensorInfos.real.dtype,shape:a.shape},{dataId:o.complexTensorInfos.imag.dataId,dtype:o.complexTensorInfos.imag.dtype,shape:a.shape},{dataId:l.complexTensorInfos.real.dataId,dtype:l.complexTensorInfos.real.dtype,shape:r.shape},{dataId:l.complexTensorInfos.imag.dataId,dtype:l.complexTensorInfos.imag.dtype,shape:r.shape}],c=n.runWebGLProgram(u,d,"float32"),h=n.runWebGLProgram(p,d,"float32"),m=_s({inputs:{real:c,imag:h},backend:n});return n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(h),m}if(n.shouldExecuteOnCPU([a,r])){let o=n.texData.get(a.dataId),l=n.texData.get(r.dataId),[u,p]=x7(a.shape,r.shape,o.values,l.values,s),d=n.makeTensorInfo(p,s),c=n.texData.get(d.dataId);return c.values=u,d}let i;return H().getBool("WEBGL_PACK_BINARY_OPERATIONS")?i=new ud(vI,a.shape,r.shape):i=new $l(vI,a.shape,r.shape),n.runWebGLProgram(i,[a,r],s)}var kJ={kernelName:Gi,backendName:"webgl",kernelFunc:o1};function IJ(e,t,n){let a=[ci(e.shape),...di(e.shape)],r={dtype:e.dtype,shape:a,dataId:e.dataId},s=[ci(t),...di(t)],i=new oE(s,a),o=!0,l=[a],u=n.runWebGLProgram(i,[r],e.dtype,l,o);return{dataId:u.dataId,shape:t,dtype:u.dtype}}function de(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{shape:s}=a,i=n,o=v.sizeFromShape(r.shape),l=v.inferFromImplicitShape(s,o),u=v.sizeFromShape(l);v.assert(o===u,()=>`The new shape (${l}) has ${u} elements and the old shape (${r.shape}) has ${o} elements. The new shape and old shape must have the same number of elements.`);let p=i.texData.get(r.dataId);return p.isPacked&&!sc(r.shape,l)&&!(p.texture!==null&&sc(p.shape,l))?IJ(r,l,i):(i.incRef(r.dataId),{dataId:r.dataId,shape:l,dtype:r.dtype})}var SJ={kernelName:vu,backendName:"webgl",kernelFunc:de},wI=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:a,inSize:r,outSize:s}=e;this.outputShape=[a,s];let i=Math.floor(n/4)*4,o=n%4,l="sumValue += dot(values, ones);";if(t!=null){let p=1/t;l=`sumValue += dot(values * ${v.isInt(p)?p.toPrecision(2):p}, ones);`}let u="";r%n>0&&(u=` if (inIdx < 0 || inIdx >= ${r}) { return 0.0; } @@ -1416,7 +1410,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, } setOutput(sumValue); } - `}},pJ=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:a,inSize:r,outSize:s}=e;this.outputShape=[a,s];let i="0.0",o="";t==="prod"?i="1.0":t==="min"?(i="1.0 / 1e-20",o="min"):t==="max"&&(i="-1.0 / 1e-20",o="max");let l=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="sum"?l="sumValue":t==="prod"?l="prodValue":t==="all"?l="allValue":t==="any"&&(l="anyValue");let u=Math.floor(n/4)*4,p=n%4,d=` + `}},TJ=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:a,inSize:r,outSize:s}=e;this.outputShape=[a,s];let i="0.0",o="";t==="prod"?i="1.0":t==="min"?(i="1.0 / 1e-20",o="min"):t==="max"&&(i="-1.0 / 1e-20",o="max");let l=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="sum"?l="sumValue":t==="prod"?l="prodValue":t==="all"?l="allValue":t==="any"&&(l="anyValue");let u=Math.floor(n/4)*4,p=n%4,d=` if (${t==="sum"}) { sumValue += dot(values, ones); } else if (${t==="prod"}) { @@ -1508,12 +1502,12 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, } setOutput(${l}); } - `}};function cJ(e){let t=[];for(;t.length===0||t[t.length-1].outSize!==1;){let n=t.length?t[t.length-1].outSize:e[1],a=N.computeOptimalWindowSize(n);t.push({inSize:n,windowSize:a,outSize:Math.ceil(n/a)})}return t}function ko(e,t,n,a){let r=cJ(e.shape),s=e;for(let i=0;i6)throw Error(`Transpose for rank ${t} is not yet supported`);let n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],a=new Array(t);for(let r=0;r6)throw Error(`Packed transpose for rank ${this.rank} is not yet supported.`);let a=gt(this.rank),r=J_("rc",this.rank),s=new Array(this.rank);for(let u=0;u6)throw Error(`Transpose for rank ${t} is not yet supported`);let n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],a=new Array(t);for(let r=0;r6)throw Error(`Packed transpose for rank ${this.rank} is not yet supported.`);let a=gt(this.rank),r=iE("rc",this.rank),s=new Array(this.rank);for(let u=0;u`Error in matMul: inner shapes (${d}) and (${c}) of Tensors with shapes ${e.shape} and ${t.shape} and transposeA=${n} and transposeB=${a} must match.`);let w=n?[b,d,h]:[b,h,d],I=a?[y,m,c]:[y,c,m],T=de({inputs:{x:e},backend:r,attrs:{shape:w}}),C=de({inputs:{x:t},backend:r,attrs:{shape:I}}),E=[T,C],A=Math.max(b,y),R=n?T.shape[1]:T.shape[2],F=s!=null,S=i!=null,M=l==="leakyrelu",W=l!=null?rc(l,!0):null,U=F||S||M||W!=null,G;if((h===1||m===1)&&R>iE&&U===!1){let K=T,Z=C;n&&(K=In({inputs:{x:T},backend:r,attrs:{perm:[0,2,1]}}),E.push(K)),a&&(Z=In({inputs:{x:C},backend:r,attrs:{perm:[0,2,1]}}),E.push(Z));let Q=m!==1,ee=m===1,ae=K;Q&&(ae=de({inputs:{x:K},backend:r,attrs:{shape:[A,R,1]}}),E.push(ae));let te=m===1?2:1,le=Z;ee&&(le=de({inputs:{x:Z},backend:r,attrs:{shape:[A,1,R]}}),E.push(le));let ie=a1({inputs:{a:ae,b:le},backend:r});G=Xf({inputs:{x:ie},backend:r,attrs:{axis:te,keepDims:!0}}),E.push(ie)}else{let K=ma(e.dtype,t.dtype),Z=new sE(w,I,[A,h,m],n,a,F,W,S,M),Q=[T,C];if(s!=null&&Q.push(s),S&&Q.push(i),M){let ee=r.makeTensorInfo([],"float32",v.createScalarValue(o,"float32"));Q.push(ee),E.push(ee)}G=r.runWebGLProgram(Z,Q,K)}let q=de({inputs:{x:G},backend:r,attrs:{shape:x}});E.push(G);for(let K of E)r.disposeIntermediateTensorInfo(K);return q}function yJ(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s,bias:i,preluActivationWeights:o}=t,{transposeA:l,transposeB:u,activation:p,leakyreluAlpha:d}=a;return tm({a:r,b:s,transposeA:l,transposeB:u,backend:n,bias:i,preluActivationWeights:o,leakyreluAlpha:d,activation:p})}var xJ={kernelName:Qs,backendName:"webgl",kernelFunc:yJ},fI="return abs(x);";function vJ(e){let{inputs:t,backend:n}=e,{x:a}=t;if(n.shouldExecuteOnCPU([a])&&a.dtype!=="complex64"){let s=n.texData.get(a.dataId),i=Y_(s.values);return n.makeTensorInfo(a.shape,a.dtype,i)}let r;return H().getBool("WEBGL_PACK_UNARY_OPERATIONS")?r=new qs(a.shape,fI):r=new Cr(a.shape,fI),n.runWebGLProgram(r,[a],a.dtype)}var wJ={kernelName:$l,backendName:"webgl",kernelFunc:vJ},kJ=Ra+` + `}};function Yf(e,t,n){let a=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new EJ(e.shape,t):new CJ(e.shape,t);return n.runWebGLProgram(a,[e],e.dtype)}function AJ(e,t,n,a){let r=t,s=e.shape.length,i=v.parseAxisParam(r,e.shape),o=i,l=N.getAxesPermutation(o,s),u=l!=null,p=e;u&&(p=Yf(e,l,a),o=N.getInnerMostAxes(o.length,s)),N.assertAxesAreInnerMostDims("sum",o,s);let[d,c]=N.computeOutAndReduceShapes(p.shape,o),h=d;n&&(h=N.expandShapeToKeepDim(d,i));let m=v.sizeFromShape(c),f=v.sizeFromShape(e.shape)/m,g=de({inputs:{x:p},attrs:{shape:[f,m]},backend:a}),b=Um(e.dtype),y=Io(g,b,"sum",a),x=de({inputs:{x:y},attrs:{shape:h},backend:a});return a.disposeIntermediateTensorInfo(g),a.disposeIntermediateTensorInfo(y),u&&a.disposeIntermediateTensorInfo(p),x}function Zf(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a;return AJ(r,s,i,n)}var $J={kernelName:io,backendName:"webgl",kernelFunc:Zf};function Sn(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{perm:s}=a,i=n,o=r.shape.length,l=new Array(o);for(let p=0;p`Error in matMul: inner shapes (${d}) and (${c}) of Tensors with shapes ${e.shape} and ${t.shape} and transposeA=${n} and transposeB=${a} must match.`);let w=n?[b,d,h]:[b,h,d],I=a?[y,m,c]:[y,c,m],T=de({inputs:{x:e},backend:r,attrs:{shape:w}}),C=de({inputs:{x:t},backend:r,attrs:{shape:I}}),E=[T,C],A=Math.max(b,y),R=n?T.shape[1]:T.shape[2],F=s!=null,S=i!=null,M=l==="leakyrelu",B=l!=null?ic(l,!0):null,U=F||S||M||B!=null,G;if((h===1||m===1)&&R>mE&&U===!1){let K=T,Z=C;n&&(K=Sn({inputs:{x:T},backend:r,attrs:{perm:[0,2,1]}}),E.push(K)),a&&(Z=Sn({inputs:{x:C},backend:r,attrs:{perm:[0,2,1]}}),E.push(Z));let Q=m!==1,ee=m===1,ae=K;Q&&(ae=de({inputs:{x:K},backend:r,attrs:{shape:[A,R,1]}}),E.push(ae));let te=m===1?2:1,le=Z;ee&&(le=de({inputs:{x:Z},backend:r,attrs:{shape:[A,1,R]}}),E.push(le));let ie=o1({inputs:{a:ae,b:le},backend:r});G=Zf({inputs:{x:ie},backend:r,attrs:{axis:te,keepDims:!0}}),E.push(ie)}else{let K=fa(e.dtype,t.dtype),Z=new hE(w,I,[A,h,m],n,a,F,B,S,M),Q=[T,C];if(s!=null&&Q.push(s),S&&Q.push(i),M){let ee=r.makeTensorInfo([],"float32",v.createScalarValue(o,"float32"));Q.push(ee),E.push(ee)}G=r.runWebGLProgram(Z,Q,K)}let q=de({inputs:{x:G},backend:r,attrs:{shape:x}});E.push(G);for(let K of E)r.disposeIntermediateTensorInfo(K);return q}function DJ(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s,bias:i,preluActivationWeights:o}=t,{transposeA:l,transposeB:u,activation:p,leakyreluAlpha:d}=a;return nm({a:r,b:s,transposeA:l,transposeB:u,backend:n,bias:i,preluActivationWeights:o,leakyreluAlpha:d,activation:p})}var RJ={kernelName:Qs,backendName:"webgl",kernelFunc:DJ},kI="return abs(x);";function MJ(e){let{inputs:t,backend:n}=e,{x:a}=t;if(n.shouldExecuteOnCPU([a])&&a.dtype!=="complex64"){let s=n.texData.get(a.dataId),i=rE(s.values);return n.makeTensorInfo(a.shape,a.dtype,i)}let r;return H().getBool("WEBGL_PACK_UNARY_OPERATIONS")?r=new qs(a.shape,kI):r=new Cr(a.shape,kI),n.runWebGLProgram(r,[a],a.dtype)}var PJ={kernelName:Dl,backendName:"webgl",kernelFunc:MJ},OJ=Ma+` if (abs(x) > 1.) { return NAN; } return acos(x); -`,IJ=Ye({opSnippet:kJ}),SJ={kernelName:Fl,backendName:"webgl",kernelFunc:IJ},TJ=Ra+` +`,LJ=Ye({opSnippet:OJ}),zJ={kernelName:Rl,backendName:"webgl",kernelFunc:LJ},WJ=Ma+` if (x < 1.0) return NAN; -return log(x + sqrt(x * x - 1.0));`,NJ=Ye({opSnippet:TJ}),CJ={kernelName:Dl,backendName:"webgl",kernelFunc:NJ},gI="return a + b;",_J=pn({opSnippet:gI,packedOpSnippet:gI,supportsComplex:!0,cpuKernelImpl:z7}),EJ={kernelName:fs,backendName:"webgl",kernelFunc:_J},AJ=class{constructor(e,t){this.outputShape=[],this.outputShape=e,this.variableNames=t.map((r,s)=>`T${s}`);let n=[];this.variableNames.forEach(r=>{n.push(`float v${r} = get${r}AtOutCoords();`)});let a=this.variableNames.map(r=>`v${r}`).join(" + ");this.userCode=` +return log(x + sqrt(x * x - 1.0));`,BJ=Ye({opSnippet:WJ}),VJ={kernelName:Ml,backendName:"webgl",kernelFunc:BJ},II="return a + b;",UJ=cn({opSnippet:II,packedOpSnippet:II,supportsComplex:!0,cpuKernelImpl:QZ}),GJ={kernelName:gs,backendName:"webgl",kernelFunc:UJ},HJ=class{constructor(e,t){this.outputShape=[],this.outputShape=e,this.variableNames=t.map((r,s)=>`T${s}`);let n=[];this.variableNames.forEach(r=>{n.push(`float v${r} = get${r}AtOutCoords();`)});let a=this.variableNames.map(r=>`v${r}`).join(" + ");this.userCode=` void main() { ${n.join(` `)} @@ -1545,7 +1539,7 @@ return log(x + sqrt(x * x - 1.0));`,NJ=Ye({opSnippet:TJ}),CJ={kernelName:Dl,back float result = ${a}; setOutput(result); } - `}},$J=class{constructor(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map((r,s)=>`T${s}`);let n=[];this.variableNames.forEach(r=>{n.push(`vec4 v${r} = get${r}AtOutCoords();`)});let a=this.variableNames.map(r=>`v${r}`).join(" + ");this.userCode=` + `}},jJ=class{constructor(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map((r,s)=>`T${s}`);let n=[];this.variableNames.forEach(r=>{n.push(`vec4 v${r} = get${r}AtOutCoords();`)});let a=this.variableNames.map(r=>`v${r}`).join(" + ");this.userCode=` void main() { ${n.join(` `)} @@ -1553,7 +1547,7 @@ return log(x + sqrt(x * x - 1.0));`,NJ=Ye({opSnippet:TJ}),CJ={kernelName:Dl,back vec4 result = ${a}; setOutput(result); } - `}};function Nh(e){let{inputs:t,backend:n}=e,a=t;if(a.length===1)return na({inputs:{x:a[0]},backend:n});if(a.length>H().get("WEBGL_MAX_TEXTURES_IN_SHADER")){let o=Math.floor(a.length/2),l=Nh({inputs:a.slice(0,o),backend:n}),u=Nh({inputs:a.slice(o),backend:n});return Nh({inputs:[l,u],backend:n})}let r=a.map(o=>o.dtype).reduce((o,l)=>ma(o,l)),s=a.map(o=>o.shape),i=H().getBool("WEBGL_PACK")?new $J(a[0].shape,s):new AJ(a[0].shape,s);return n.runWebGLProgram(i,a,r)}var FJ={kernelName:fi,backendName:"webgl",kernelFunc:Nh};function DJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=v.parseAxisParam(s,r.shape),u=l,p=N.getAxesPermutation(u,o),d=r;p!=null&&(d=In({inputs:{x:r},backend:n,attrs:{perm:p}}),u=N.getInnerMostAxes(u.length,o)),N.assertAxesAreInnerMostDims("all",u,o);let[c,h]=N.computeOutAndReduceShapes(d.shape,u),m=v.sizeFromShape(h),f=de({inputs:{x:d},backend:n,attrs:{shape:[-1,m]}}),g=ko(f,f.dtype,"all",n),b;if(i){let y=N.expandShapeToKeepDim(c,l);b=de({inputs:{x:g},backend:n,attrs:{shape:y}})}else b=de({inputs:{x:g},backend:n,attrs:{shape:c}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(g),p!=null&&n.disposeIntermediateTensorInfo(d),b}var RJ={kernelName:Rl,backendName:"webgl",kernelFunc:DJ};function MJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=v.parseAxisParam(s,r.shape),u=l,p=N.getAxesPermutation(u,o),d=r;p!=null&&(d=In({inputs:{x:r},backend:n,attrs:{perm:p}}),u=N.getInnerMostAxes(u.length,o)),N.assertAxesAreInnerMostDims("any",u,o);let[c,h]=N.computeOutAndReduceShapes(d.shape,u),m=v.sizeFromShape(h),f=de({inputs:{x:d},backend:n,attrs:{shape:[-1,m]}}),g=ko(f,f.dtype,"any",n),b;if(i){let y=N.expandShapeToKeepDim(c,l);b=de({inputs:{x:g},backend:n,attrs:{shape:y}})}else b=de({inputs:{x:g},backend:n,attrs:{shape:c}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(g),p!=null&&n.disposeIntermediateTensorInfo(d),b}var PJ={kernelName:Ml,backendName:"webgl",kernelFunc:MJ},OJ=class{constructor(e,t,n){this.variableNames=["A"];let{windowSize:a,batchSize:r,outSize:s}=e;n||this.variableNames.push("bestIndicesA"),this.outputShape=[r,s];let i=t==="max"?">":"<",o=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode=` + `}};function Nh(e){let{inputs:t,backend:n}=e,a=t;if(a.length===1)return aa({inputs:{x:a[0]},backend:n});if(a.length>H().get("WEBGL_MAX_TEXTURES_IN_SHADER")){let o=Math.floor(a.length/2),l=Nh({inputs:a.slice(0,o),backend:n}),u=Nh({inputs:a.slice(o),backend:n});return Nh({inputs:[l,u],backend:n})}let r=a.map(o=>o.dtype).reduce((o,l)=>fa(o,l)),s=a.map(o=>o.shape),i=H().getBool("WEBGL_PACK")?new jJ(a[0].shape,s):new HJ(a[0].shape,s);return n.runWebGLProgram(i,a,r)}var qJ={kernelName:fi,backendName:"webgl",kernelFunc:Nh};function KJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=v.parseAxisParam(s,r.shape),u=l,p=N.getAxesPermutation(u,o),d=r;p!=null&&(d=Sn({inputs:{x:r},backend:n,attrs:{perm:p}}),u=N.getInnerMostAxes(u.length,o)),N.assertAxesAreInnerMostDims("all",u,o);let[c,h]=N.computeOutAndReduceShapes(d.shape,u),m=v.sizeFromShape(h),f=de({inputs:{x:d},backend:n,attrs:{shape:[-1,m]}}),g=Io(f,f.dtype,"all",n),b;if(i){let y=N.expandShapeToKeepDim(c,l);b=de({inputs:{x:g},backend:n,attrs:{shape:y}})}else b=de({inputs:{x:g},backend:n,attrs:{shape:c}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(g),p!=null&&n.disposeIntermediateTensorInfo(d),b}var XJ={kernelName:Pl,backendName:"webgl",kernelFunc:KJ};function YJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=v.parseAxisParam(s,r.shape),u=l,p=N.getAxesPermutation(u,o),d=r;p!=null&&(d=Sn({inputs:{x:r},backend:n,attrs:{perm:p}}),u=N.getInnerMostAxes(u.length,o)),N.assertAxesAreInnerMostDims("any",u,o);let[c,h]=N.computeOutAndReduceShapes(d.shape,u),m=v.sizeFromShape(h),f=de({inputs:{x:d},backend:n,attrs:{shape:[-1,m]}}),g=Io(f,f.dtype,"any",n),b;if(i){let y=N.expandShapeToKeepDim(c,l);b=de({inputs:{x:g},backend:n,attrs:{shape:y}})}else b=de({inputs:{x:g},backend:n,attrs:{shape:c}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(g),p!=null&&n.disposeIntermediateTensorInfo(d),b}var ZJ={kernelName:Ol,backendName:"webgl",kernelFunc:YJ},JJ=class{constructor(e,t,n){this.variableNames=["A"];let{windowSize:a,batchSize:r,outSize:s}=e;n||this.variableNames.push("bestIndicesA"),this.outputShape=[r,s];let i=t==="max"?">":"<",o=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode=` void main() { ivec2 coords = getOutputCoords(); int batch = coords[0]; @@ -1573,7 +1567,7 @@ return log(x + sqrt(x * x - 1.0));`,NJ=Ye({opSnippet:TJ}),CJ={kernelName:Dl,back } setOutput(float(bestIndex)); } - `}},LJ=class{constructor(e,t,n,a){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,v.assert(e.length>2,()=>`Packed arg${n.charAt(0).toUpperCase()+n.slice(1)} supports only inputs with rank above 2.`);let r=e[e.length-1],s=Math.ceil(r/t);this.outputShape=e.slice(0,-1),s>1&&this.outputShape.push(s),a||this.variableNames.push("bestIndicesA");let i=this.outputShape,o=i.length,l=gt(o),u=kn("coords",o),p,d;if(s===1){d=o+1;let C=gt(d);p=` + `}},QJ=class{constructor(e,t,n,a){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,v.assert(e.length>2,()=>`Packed arg${n.charAt(0).toUpperCase()+n.slice(1)} supports only inputs with rank above 2.`);let r=e[e.length-1],s=Math.ceil(r/t);this.outputShape=e.slice(0,-1),s>1&&this.outputShape.push(s),a||this.variableNames.push("bestIndicesA");let i=this.outputShape,o=i.length,l=gt(o),u=kn("coords",o),p,d;if(s===1){d=o+1;let C=gt(d);p=` ${C} sourceLocR = ${C}(${u.join()}, 0); ++${u[o-1]}; ${C} sourceLocG = ${C}(${u.join()}, 0); @@ -1635,25 +1629,25 @@ return log(x + sqrt(x * x - 1.0));`,NJ=Ye({opSnippet:TJ}),CJ={kernelName:Dl,back } setOutput(bestIndex); } - `}};function oE(e,t,n,a=null){let r=t.shape[0],s=t.shape[1];a!=null&&(r=a.shape[0],s=a.shape[1]);let i=N.computeOptimalWindowSize(s),o={windowSize:i,inSize:s,batchSize:r,outSize:Math.ceil(s/i)},l=new OJ(o,n,a==null),u=[t];a!=null&&u.push(a);let p=e.runWebGLProgram(l,u,"int32");if(p.shape[1]===1)return p;let d=oE(e,t,n,p);return e.disposeIntermediateTensorInfo(p),d}function lE(e,t,n,a=null){let r=a!=null?a.shape:t.shape,s=r[r.length-1],i=N.computeOptimalWindowSize(s),o=new LJ(r,i,n,a==null),l=a==null?[t]:[t,a],u=e.runWebGLProgram(o,l,"int32");if(u.shape.length===t.shape.length){let p=lE(e,t,n,u);return e.disposeIntermediateTensorInfo(u),p}return u}function uE(e,t,n,a){let r=[n];if(N.assertAxesAreInnerMostDims("arg"+a.charAt(0).toUpperCase()+a.slice(1),r,t.shape.length),!H().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){let s=[],i=e.texData.get(t.dataId),o=i!==null&&i.isPacked,l=t;o&&(l=e.unpackTensor(t),s.push(l));let[u,p]=N.computeOutAndReduceShapes(l.shape,r),d=v.sizeFromShape(p),c=de({inputs:{x:l},backend:e,attrs:{shape:[-1,d]}});s.push(c);let h=oE(e,c,a);s.push(h);let m=de({inputs:{x:h},backend:e,attrs:{shape:u}});return s.forEach(f=>e.disposeIntermediateTensorInfo(f)),m}return lE(e,t,a)}function zJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s}=a,i=v.parseAxisParam(s,r.shape),o=N.getAxesPermutation(i,r.shape.length),l=r,u=[];o!=null&&(l=In({inputs:{x:r},backend:n,attrs:{perm:o}}),u.push(l),i=N.getInnerMostAxes(i.length,l.shape.length)),N.assertAxesAreInnerMostDims("argMax",[i[0]],l.shape.length);let p=uE(n,l,i[0],"max");return u.forEach(d=>n.disposeIntermediateTensorInfo(d)),p}var BJ={kernelName:gi,backendName:"webgl",kernelFunc:zJ};function WJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s}=a,i=v.parseAxisParam(s,r.shape),o=N.getAxesPermutation(i,r.shape.length),l=r,u=[];o!=null&&(l=In({inputs:{x:r},backend:n,attrs:{perm:o}}),u.push(l),i=N.getInnerMostAxes(i.length,l.shape.length)),N.assertAxesAreInnerMostDims("argMin",[i[0]],l.shape.length);let p=uE(n,l,i[0],"min");return u.forEach(d=>n.disposeIntermediateTensorInfo(d)),p}var VJ={kernelName:uc,backendName:"webgl",kernelFunc:WJ},UJ=Ra+` + `}};function fE(e,t,n,a=null){let r=t.shape[0],s=t.shape[1];a!=null&&(r=a.shape[0],s=a.shape[1]);let i=N.computeOptimalWindowSize(s),o={windowSize:i,inSize:s,batchSize:r,outSize:Math.ceil(s/i)},l=new JJ(o,n,a==null),u=[t];a!=null&&u.push(a);let p=e.runWebGLProgram(l,u,"int32");if(p.shape[1]===1)return p;let d=fE(e,t,n,p);return e.disposeIntermediateTensorInfo(p),d}function gE(e,t,n,a=null){let r=a!=null?a.shape:t.shape,s=r[r.length-1],i=N.computeOptimalWindowSize(s),o=new QJ(r,i,n,a==null),l=a==null?[t]:[t,a],u=e.runWebGLProgram(o,l,"int32");if(u.shape.length===t.shape.length){let p=gE(e,t,n,u);return e.disposeIntermediateTensorInfo(u),p}return u}function bE(e,t,n,a){let r=[n];if(N.assertAxesAreInnerMostDims("arg"+a.charAt(0).toUpperCase()+a.slice(1),r,t.shape.length),!H().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){let s=[],i=e.texData.get(t.dataId),o=i!==null&&i.isPacked,l=t;o&&(l=e.unpackTensor(t),s.push(l));let[u,p]=N.computeOutAndReduceShapes(l.shape,r),d=v.sizeFromShape(p),c=de({inputs:{x:l},backend:e,attrs:{shape:[-1,d]}});s.push(c);let h=fE(e,c,a);s.push(h);let m=de({inputs:{x:h},backend:e,attrs:{shape:u}});return s.forEach(f=>e.disposeIntermediateTensorInfo(f)),m}return gE(e,t,a)}function e9(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s}=a,i=v.parseAxisParam(s,r.shape),o=N.getAxesPermutation(i,r.shape.length),l=r,u=[];o!=null&&(l=Sn({inputs:{x:r},backend:n,attrs:{perm:o}}),u.push(l),i=N.getInnerMostAxes(i.length,l.shape.length)),N.assertAxesAreInnerMostDims("argMax",[i[0]],l.shape.length);let p=bE(n,l,i[0],"max");return u.forEach(d=>n.disposeIntermediateTensorInfo(d)),p}var t9={kernelName:gi,backendName:"webgl",kernelFunc:e9};function n9(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s}=a,i=v.parseAxisParam(s,r.shape),o=N.getAxesPermutation(i,r.shape.length),l=r,u=[];o!=null&&(l=Sn({inputs:{x:r},backend:n,attrs:{perm:o}}),u.push(l),i=N.getInnerMostAxes(i.length,l.shape.length)),N.assertAxesAreInnerMostDims("argMin",[i[0]],l.shape.length);let p=bE(n,l,i[0],"min");return u.forEach(d=>n.disposeIntermediateTensorInfo(d)),p}var a9={kernelName:cc,backendName:"webgl",kernelFunc:n9},r9=Ma+` if (abs(x) > 1.) { return NAN; } return asin(x); -`,GJ=Ye({opSnippet:UJ}),HJ={kernelName:Pl,backendName:"webgl",kernelFunc:GJ},jJ=Ra+"return log(x + sqrt(x * x + 1.0));",qJ=Ye({opSnippet:jJ}),KJ={kernelName:Ol,backendName:"webgl",kernelFunc:qJ},XJ=Ra+` +`,s9=Ye({opSnippet:r9}),i9={kernelName:Ll,backendName:"webgl",kernelFunc:s9},o9=Ma+"return log(x + sqrt(x * x + 1.0));",l9=Ye({opSnippet:o9}),u9={kernelName:zl,backendName:"webgl",kernelFunc:l9},p9=Ma+` return atan(x); -`,YJ=Ye({opSnippet:XJ}),ZJ={kernelName:Ll,backendName:"webgl",kernelFunc:YJ},JJ=n1+` +`,c9=Ye({opSnippet:p9}),d9={kernelName:Wl,backendName:"webgl",kernelFunc:c9},h9=i1+` return atan(a, b); -`,QJ=` +`,m9=` vec4 result = atan(a, b); bvec4 isNaNA = isnan(a); bvec4 isNaNB = isnan(b); bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w); - `+od+` + `+ld+` return result; -`,e9=pn({opSnippet:JJ,packedOpSnippet:QJ}),t9={kernelName:Bl,backendName:"webgl",kernelFunc:e9},n9=Ra+` +`,f9=cn({opSnippet:h9,packedOpSnippet:m9}),g9={kernelName:Vl,backendName:"webgl",kernelFunc:f9},b9=Ma+` if ((x < -1.0) || (x > 1.0)) return NAN; -return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelName:zl,backendName:"webgl",kernelFunc:a9},sc=class{constructor(e,t,n,a=!1,r=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let s=e.filterWidth,i=e.strideHeight,o=e.strideWidth,l=e.dilationHeight,u=e.dilationWidth,p=e.effectiveFilterHeight,d=e.effectiveFilterWidth,c=e.padInfo.top,h=e.padInfo.left;this.outputShape=e.outShape;let m=t==="avg",f=`((batch * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + d`,g=`(xR * ${e.inWidth} + xC) * ${e.inChannels} + d`,b="0.0";if(m||(b="-1.0 / 1e-20"),n){let C=">=";this.userCode=` +return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,y9=Ye({opSnippet:b9}),x9={kernelName:Bl,backendName:"webgl",kernelFunc:y9},oc=class{constructor(e,t,n,a=!1,r=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let s=e.filterWidth,i=e.strideHeight,o=e.strideWidth,l=e.dilationHeight,u=e.dilationWidth,p=e.effectiveFilterHeight,d=e.effectiveFilterWidth,c=e.padInfo.top,h=e.padInfo.left;this.outputShape=e.outShape;let m=t==="avg",f=`((batch * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + d`,g=`(xR * ${e.inWidth} + xC) * ${e.inChannels} + d`,b="0.0";if(m||(b="-1.0 / 1e-20"),n){let C=">=";this.userCode=` const ivec2 strides = ivec2(${i}, ${o}); const ivec2 pads = ivec2(${c}, ${h}); @@ -1794,7 +1788,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam } setOutput(${x}); } - `}},r1=class{constructor(e,t,n,a=!1,r=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let s=e.filterWidth,i=e.strideDepth,o=e.strideHeight,l=e.strideWidth,u=e.dilationDepth,p=e.dilationHeight,d=e.dilationWidth,c=e.effectiveFilterDepth,h=e.effectiveFilterHeight,m=e.effectiveFilterWidth,f=e.padInfo.front,g=e.padInfo.top,b=e.padInfo.left;this.outputShape=e.outShape;let y=t==="avg",x="0.0";if(y||(x="-1.0 / 1e-20"),n){let A=">=";this.userCode=` + `}},l1=class{constructor(e,t,n,a=!1,r=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let s=e.filterWidth,i=e.strideDepth,o=e.strideHeight,l=e.strideWidth,u=e.dilationDepth,p=e.dilationHeight,d=e.dilationWidth,c=e.effectiveFilterDepth,h=e.effectiveFilterHeight,m=e.effectiveFilterWidth,f=e.padInfo.front,g=e.padInfo.top,b=e.padInfo.left;this.outputShape=e.outShape;let y=t==="avg",x="0.0";if(y||(x="-1.0 / 1e-20"),n){let A=">=";this.userCode=` const ivec3 strides = ivec3(${i}, ${o}, ${l}); const ivec3 pads = ivec3(${f}, ${g}, ${b}); @@ -1957,7 +1951,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam setOutput(${I}); } } - `}};function s9(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t;Ku(r,"avgPool");let{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=a,u=1;v.assert(N.eitherStridesOrDilationsAreOne(i,u),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${u}'`);let p=N.computePool2DInfo(r.shape,s,i,u,o,l);if(p.filterWidth===1&&p.filterHeight===1&&v.arraysEqual(p.inShape,p.outShape))return na({inputs:{x:r},backend:n});let d=new sc(p,"avg",!1);return n.runWebGLProgram(d,[r],"float32")}var i9={kernelName:bi,backendName:"webgl",kernelFunc:s9};function o9(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l,dataFormat:u}=a,p=[1,1,1],d=N.computePool3DInfo(r.shape,s,i,p,o,l,u),c=new r1(d,"avg",!1);return n.runWebGLProgram(c,[r],"float32")}var l9={kernelName:pc,backendName:"webgl",kernelFunc:o9},u9=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,a=e.strideHeight,r=e.strideWidth,s=e.dilationHeight,i=e.dilationWidth,o=e.effectiveFilterHeight,l=e.effectiveFilterWidth,u=o-1-e.padInfo.top,p=l-1-e.padInfo.left,d=1/(t*n);this.userCode=` + `}};function v9(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t;Yu(r,"avgPool");let{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=a,u=1;v.assert(N.eitherStridesOrDilationsAreOne(i,u),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${u}'`);let p=N.computePool2DInfo(r.shape,s,i,u,o,l);if(p.filterWidth===1&&p.filterHeight===1&&v.arraysEqual(p.inShape,p.outShape))return aa({inputs:{x:r},backend:n});let d=new oc(p,"avg",!1);return n.runWebGLProgram(d,[r],"float32")}var w9={kernelName:bi,backendName:"webgl",kernelFunc:v9};function k9(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l,dataFormat:u}=a,p=[1,1,1],d=N.computePool3DInfo(r.shape,s,i,p,o,l,u),c=new l1(d,"avg",!1);return n.runWebGLProgram(c,[r],"float32")}var I9={kernelName:dc,backendName:"webgl",kernelFunc:k9},S9=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,a=e.strideHeight,r=e.strideWidth,s=e.dilationHeight,i=e.dilationWidth,o=e.effectiveFilterHeight,l=e.effectiveFilterWidth,u=o-1-e.padInfo.top,p=l-1-e.padInfo.left,d=1/(t*n);this.userCode=` const ivec2 pads = ivec2(${u}, ${p}); const float avgMultiplier = float(${d}); @@ -1999,7 +1993,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam } setOutput(dotProd); } - `}},p9=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,a=e.filterWidth,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,l=e.dilationHeight,u=e.dilationWidth,p=e.effectiveFilterDepth,d=e.effectiveFilterHeight,c=e.effectiveFilterWidth,h=p-1-e.padInfo.front,m=d-1-e.padInfo.top,f=c-1-e.padInfo.left,g=1/(t*n*a);this.userCode=` + `}},T9=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,a=e.filterWidth,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,l=e.dilationHeight,u=e.dilationWidth,p=e.effectiveFilterDepth,d=e.effectiveFilterHeight,c=e.effectiveFilterWidth,h=p-1-e.padInfo.front,m=d-1-e.padInfo.top,f=c-1-e.padInfo.left,g=1/(t*n*a);this.userCode=` const ivec3 pads = ivec3(${h}, ${m}, ${f}); const float avgMultiplier = float(${g}); @@ -2055,7 +2049,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam } setOutput(dotProd); } - `}};function c9(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,i=s,{filterSize:o,strides:l,pad:u,dimRoundingMode:p}=a,d=[1,1,1],c=N.computePool3DInfo(i.shape,o,l,d,u,p),h=new p9(c);return n.runWebGLProgram(h,[r],i.dtype)}var d9={kernelName:pm,backendName:"webgl",kernelFunc:c9};function h9(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,i=s;Ku([r,s],"avgPoolGrad");let{filterSize:o,strides:l,pad:u}=a,p=N.computePool2DInfo(i.shape,o,l,1,u),d=new u9(p);return n.runWebGLProgram(d,[r],i.dtype)}var m9={kernelName:um,backendName:"webgl",kernelFunc:h9};function f9(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s}=t,{transposeA:i,transposeB:o}=a;return tm({a:r,b:s,transposeA:i,transposeB:o,backend:n})}var g9={kernelName:yi,backendName:"webgl",kernelFunc:f9},b9=class{constructor(e,t,n,a,r,s){this.outputShape=[],this.variableNames=["x","mean","variance"],N.assertAndGetBroadcastShape(e,t),N.assertAndGetBroadcastShape(e,n);let i="0.0";a!=null&&(N.assertAndGetBroadcastShape(e,a),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="1.0";r!=null&&(N.assertAndGetBroadcastShape(e,r),this.variableNames.push("scale"),o="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=` + `}};function N9(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,i=s,{filterSize:o,strides:l,pad:u,dimRoundingMode:p}=a,d=[1,1,1],c=N.computePool3DInfo(i.shape,o,l,d,u,p),h=new T9(c);return n.runWebGLProgram(h,[r],i.dtype)}var C9={kernelName:cm,backendName:"webgl",kernelFunc:N9};function _9(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,i=s;Yu([r,s],"avgPoolGrad");let{filterSize:o,strides:l,pad:u}=a,p=N.computePool2DInfo(i.shape,o,l,1,u),d=new S9(p);return n.runWebGLProgram(d,[r],i.dtype)}var E9={kernelName:pm,backendName:"webgl",kernelFunc:_9};function A9(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s}=t,{transposeA:i,transposeB:o}=a;return nm({a:r,b:s,transposeA:i,transposeB:o,backend:n})}var $9={kernelName:yi,backendName:"webgl",kernelFunc:A9},F9=class{constructor(e,t,n,a,r,s){this.outputShape=[],this.variableNames=["x","mean","variance"],N.assertAndGetBroadcastShape(e,t),N.assertAndGetBroadcastShape(e,n);let i="0.0";a!=null&&(N.assertAndGetBroadcastShape(e,a),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="1.0";r!=null&&(N.assertAndGetBroadcastShape(e,r),this.variableNames.push("scale"),o="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=` void main() { float x = getXAtOutCoords(); float mean = getMeanAtOutCoords(); @@ -2065,7 +2059,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam float inv = scale * inversesqrt(variance + float(${s})); setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1))); } - `}},y9=class{constructor(e,t,n,a,r,s){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],N.assertAndGetBroadcastShape(e,t),N.assertAndGetBroadcastShape(e,n);let i="vec4(0.0)";a!=null&&(N.assertAndGetBroadcastShape(e,a),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="vec4(1.0)";r!=null&&(N.assertAndGetBroadcastShape(e,r),this.variableNames.push("scale"),o="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=` + `}},D9=class{constructor(e,t,n,a,r,s){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],N.assertAndGetBroadcastShape(e,t),N.assertAndGetBroadcastShape(e,n);let i="vec4(0.0)";a!=null&&(N.assertAndGetBroadcastShape(e,a),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="vec4(1.0)";r!=null&&(N.assertAndGetBroadcastShape(e,r),this.variableNames.push("scale"),o="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=` void main() { vec4 offset = ${i}; vec4 scale = ${o}; @@ -2078,7 +2072,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam setOutput((x - mean) * inv + offset); } - `}},x9=({inputs:e,backend:t,attrs:n})=>{let{x:a,mean:r,variance:s,offset:i,scale:o}=e;v.assert(r.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),v.assert(i==null||r.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),v.assert(o==null||r.shape.length===o.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let{varianceEpsilon:l}=n;l==null&&(l=.001);let u=[a,r,s],p=null;i!=null&&(p=i.shape,u.push(i));let d=null;o!=null&&(d=o.shape,u.push(o));let c=H().getBool("WEBGL_PACK_NORMALIZATION")?new y9(a.shape,r.shape,s.shape,p,d,l):new b9(a.shape,r.shape,s.shape,p,d,l);return t.runWebGLProgram(c,u,u[0].dtype)},v9={kernelName:Fi,backendName:"webgl",kernelFunc:x9},w9=class{constructor(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;let t=gt(this.rank);this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let n=k9(this.rank),a,r=e.map((s,i)=>`sourceLoc.${gx[i]} = start[${i}] + coords.${gx[i]};`);a=` + `}},R9=({inputs:e,backend:t,attrs:n})=>{let{x:a,mean:r,variance:s,offset:i,scale:o}=e;v.assert(r.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),v.assert(i==null||r.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),v.assert(o==null||r.shape.length===o.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let{varianceEpsilon:l}=n;l==null&&(l=.001);let u=[a,r,s],p=null;i!=null&&(p=i.shape,u.push(i));let d=null;o!=null&&(d=o.shape,u.push(o));let c=H().getBool("WEBGL_PACK_NORMALIZATION")?new D9(a.shape,r.shape,s.shape,p,d,l):new F9(a.shape,r.shape,s.shape,p,d,l);return t.runWebGLProgram(c,u,u[0].dtype)},M9={kernelName:Fi,backendName:"webgl",kernelFunc:R9},P9=class{constructor(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;let t=gt(this.rank);this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let n=O9(this.rank),a,r=e.map((s,i)=>`sourceLoc.${yx[i]} = start[${i}] + coords.${yx[i]};`);a=` ${t} sourceLoc; ${t} coords = getOutputCoords(); ${r.join(` @@ -2088,7 +2082,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam ${a} setOutput(getSource(${n})); } - `}},gx=["x","y","z","w","u","v"];function k9(e){if(e===1)return"sourceLoc";if(e<=6)return gx.slice(0,e).map(t=>"sourceLoc."+t).join(",");throw Error(`Slicing for rank ${e} is not yet supported`)}var I9=class{constructor(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length,this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let t=gt(this.rank),n=kn("coords",this.rank),a=kn("sourceLoc",this.rank),r=this.rank===1?"sourceLoc":`vec2(${a.slice(-2).join()})`,s=`getChannel(getSource(${a.join()}), ${r})`,i=` + `}},yx=["x","y","z","w","u","v"];function O9(e){if(e===1)return"sourceLoc";if(e<=6)return yx.slice(0,e).map(t=>"sourceLoc."+t).join(",");throw Error(`Slicing for rank ${e} is not yet supported`)}var L9=class{constructor(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length,this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let t=gt(this.rank),n=kn("coords",this.rank),a=kn("sourceLoc",this.rank),r=this.rank===1?"sourceLoc":`vec2(${a.slice(-2).join()})`,s=`getChannel(getSource(${a.join()}), ${r})`,i=` result.x = ${s}; if (++${n[this.rank-1]} < ${e[this.rank-1]}) { ++${a[this.rank-1]}; @@ -2117,7 +2111,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam ${o} setOutput(result); } - `}};function S9(e,t,n,a){let r=a.texData.get(e.dataId),s=a.makeTensorInfo(n,e.dtype),i=a.texData.get(s.dataId);Object.assign(i,r),i.refCount=1,i.shape=n,i.dtype=e.dtype;let o=jt.computeFlatOffset(t,v.computeStrides(e.shape));r.slice&&(o+=r.slice.flatOffset),i.slice={flatOffset:o,origDataId:r.slice&&r.slice.origDataId||e.dataId};let l=a.dataRefCount.get(i.slice.origDataId)||1;return a.dataRefCount.set(i.slice.origDataId,l+1),s}function ep(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{begin:s,size:i}=a,[o,l]=jt.parseSliceParams(r,s,i);if(jt.assertParamsValid(r,o,l),v.sizeFromShape(l)===0)return n.makeTensorInfo(l,r.dtype,[]);if(n.shouldExecuteOnCPU([r])||r.dtype==="string"){let d=n.texData.get(r.dataId),c=fZ(d.values,o,l,r.shape,r.dtype);return n.makeTensorInfo(l,r.dtype,c)}let{isPacked:u}=n.texData.get(r.dataId),p=jt.isSliceContinous(r.shape,o,l);if(u||!p){let d=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new I9(l):new w9(l),c=[o];return n.runWebGLProgram(d,[r],r.dtype,c)}return n.uploadToGPU(r.dataId),S9(r,o,l,n)}var T9={kernelName:ku,backendName:"webgl",kernelFunc:ep},N9=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockShape:s,crops:i}=a;v.assert(r.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");let o=s.reduce((y,x)=>y*x),l=N.getReshaped(r.shape,s,o),u=N.getPermuted(l.length,s.length),p=N.getReshapedPermuted(r.shape,s,o),d=N.getSliceBeginCoords(i,s.length),c=N.getSliceSize(p,i,s.length),h=[],m=de({inputs:{x:r},backend:n,attrs:{shape:l}}),f=In({inputs:{x:m},backend:n,attrs:{perm:u}}),g=de({inputs:{x:f},backend:n,attrs:{shape:p}}),b=ep({inputs:{x:g},backend:n,attrs:{begin:d,size:c}});return h.push(m),h.push(f),h.push(g),h.forEach(y=>n.disposeIntermediateTensorInfo(y)),b},C9={kernelName:Wl,backendName:"webgl",kernelFunc:N9};function _9(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,weights:s}=t,{size:i}=a,o=n.readSync(r.dataId),l=n.readSync(s.dataId),u=X_(o,l,s.dtype,s.shape,i);return n.makeTensorInfo([i],s.dtype,u)}var E9={kernelName:cm,backendName:"webgl",kernelFunc:_9};function A9(e){let{inputs:t,backend:n}=e,{s0:a,s1:r}=t,s=n.readSync(a.dataId),i=n.readSync(r.dataId),o=N.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return n.makeTensorInfo([o.length],"int32",Int32Array.from(o))}var $9={kernelName:dm,backendName:"webgl",kernelFunc:A9},F9="return float(a != b);",pE=pn({opSnippet:F9,cpuKernelImpl:oZ,dtype:"bool"}),D9={kernelName:cu,backendName:"webgl",kernelFunc:pE};function ud(e){let{inputs:t,backend:n}=e,{input:a}=t,r=n.texData.get(a.dataId);return na({inputs:{x:r.complexTensorInfos.real},backend:n})}var R9={kernelName:Rm,backendName:"webgl",kernelFunc:ud},M9="return float(int(x));";function P9(e,t){let n=new Cr(e.shape,M9),a=t.runWebGLProgram(n,[e],"int32");return{dataId:a.dataId,shape:a.shape,dtype:a.dtype}}function bx(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dtype:s}=a;if(s==="complex64"){if(r.dtype==="complex64")return na({inputs:{x:r},backend:n});let i=It(r.shape),o=bx({inputs:{x:r},backend:n,attrs:{dtype:"float32"}}),l=_s({inputs:{real:o,imag:i},backend:n});return i.dispose(),n.disposeIntermediateTensorInfo(o),l}if(r.dtype==="complex64"){let i=ud({inputs:{input:r},backend:n}),o=bx({inputs:{x:i},backend:n,attrs:{dtype:s}});return n.disposeIntermediateTensorInfo(i),o}if(!v.hasEncodingLoss(r.dtype,s)){let i=na({inputs:{x:r},backend:n});return{dataId:i.dataId,shape:i.shape,dtype:s}}if(n.shouldExecuteOnCPU([r])){let i=n.texData.get(r.dataId).values,[o,l,u]=W7(i,r.shape,r.dtype,s);return n.makeTensorInfo(o,l,u)}if(s==="int32")return P9(r,n);if(s==="bool"){let i=n.makeTensorInfo([],"bool",v.getTypedArrayFromDType("bool",1)),o=pE({inputs:{a:r,b:i},backend:n});return n.disposeIntermediateTensorInfo(i),o}throw new Error(`Error in Cast: failed to cast ${r.dtype} to ${s}`)}var O9={kernelName:xi,backendName:"webgl",kernelFunc:bx},bI="return ceil(x);",L9=Ye({opSnippet:bI,packedOpSnippet:bI,cpuKernelImpl:V7}),z9={kernelName:vi,backendName:"webgl",kernelFunc:L9},B9=class{constructor(e){this.variableNames=["A"],this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=e,this.userCode=` + `}};function z9(e,t,n,a){let r=a.texData.get(e.dataId),s=a.makeTensorInfo(n,e.dtype),i=a.texData.get(s.dataId);Object.assign(i,r),i.refCount=1,i.shape=n,i.dtype=e.dtype;let o=jt.computeFlatOffset(t,v.computeStrides(e.shape));r.slice&&(o+=r.slice.flatOffset),i.slice={flatOffset:o,origDataId:r.slice&&r.slice.origDataId||e.dataId};let l=a.dataRefCount.get(i.slice.origDataId)||1;return a.dataRefCount.set(i.slice.origDataId,l+1),s}function np(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{begin:s,size:i}=a,[o,l]=jt.parseSliceParams(r,s,i);if(jt.assertParamsValid(r,o,l),v.sizeFromShape(l)===0)return n.makeTensorInfo(l,r.dtype,[]);if(n.shouldExecuteOnCPU([r])||r.dtype==="string"){let d=n.texData.get(r.dataId),c=A7(d.values,o,l,r.shape,r.dtype);return n.makeTensorInfo(l,r.dtype,c)}let{isPacked:u}=n.texData.get(r.dataId),p=jt.isSliceContinous(r.shape,o,l);if(u||!p){let d=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new L9(l):new P9(l),c=[o];return n.runWebGLProgram(d,[r],r.dtype,c)}return n.uploadToGPU(r.dataId),z9(r,o,l,n)}var W9={kernelName:Su,backendName:"webgl",kernelFunc:np},B9=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockShape:s,crops:i}=a;v.assert(r.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");let o=s.reduce((y,x)=>y*x),l=N.getReshaped(r.shape,s,o),u=N.getPermuted(l.length,s.length),p=N.getReshapedPermuted(r.shape,s,o),d=N.getSliceBeginCoords(i,s.length),c=N.getSliceSize(p,i,s.length),h=[],m=de({inputs:{x:r},backend:n,attrs:{shape:l}}),f=Sn({inputs:{x:m},backend:n,attrs:{perm:u}}),g=de({inputs:{x:f},backend:n,attrs:{shape:p}}),b=np({inputs:{x:g},backend:n,attrs:{begin:d,size:c}});return h.push(m),h.push(f),h.push(g),h.forEach(y=>n.disposeIntermediateTensorInfo(y)),b},V9={kernelName:Ul,backendName:"webgl",kernelFunc:B9};function U9(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,weights:s}=t,{size:i}=a,o=n.readSync(r.dataId),l=n.readSync(s.dataId),u=aE(o,l,s.dtype,s.shape,i);return n.makeTensorInfo([i],s.dtype,u)}var G9={kernelName:dm,backendName:"webgl",kernelFunc:U9};function H9(e){let{inputs:t,backend:n}=e,{s0:a,s1:r}=t,s=n.readSync(a.dataId),i=n.readSync(r.dataId),o=N.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return n.makeTensorInfo([o.length],"int32",Int32Array.from(o))}var j9={kernelName:hm,backendName:"webgl",kernelFunc:H9},q9="return float(a != b);",yE=cn({opSnippet:q9,cpuKernelImpl:w7,dtype:"bool"}),K9={kernelName:hu,backendName:"webgl",kernelFunc:yE};function pd(e){let{inputs:t,backend:n}=e,{input:a}=t,r=n.texData.get(a.dataId);return aa({inputs:{x:r.complexTensorInfos.real},backend:n})}var X9={kernelName:Pm,backendName:"webgl",kernelFunc:pd},Y9="return float(int(x));";function Z9(e,t){let n=new Cr(e.shape,Y9),a=t.runWebGLProgram(n,[e],"int32");return{dataId:a.dataId,shape:a.shape,dtype:a.dtype}}function xx(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dtype:s}=a;if(s==="complex64"){if(r.dtype==="complex64")return aa({inputs:{x:r},backend:n});let i=It(r.shape),o=xx({inputs:{x:r},backend:n,attrs:{dtype:"float32"}}),l=_s({inputs:{real:o,imag:i},backend:n});return i.dispose(),n.disposeIntermediateTensorInfo(o),l}if(r.dtype==="complex64"){let i=pd({inputs:{input:r},backend:n}),o=xx({inputs:{x:i},backend:n,attrs:{dtype:s}});return n.disposeIntermediateTensorInfo(i),o}if(!v.hasEncodingLoss(r.dtype,s)){let i=aa({inputs:{x:r},backend:n});return{dataId:i.dataId,shape:i.shape,dtype:s}}if(n.shouldExecuteOnCPU([r])){let i=n.texData.get(r.dataId).values,[o,l,u]=t7(i,r.shape,r.dtype,s);return n.makeTensorInfo(o,l,u)}if(s==="int32")return Z9(r,n);if(s==="bool"){let i=n.makeTensorInfo([],"bool",v.getTypedArrayFromDType("bool",1)),o=yE({inputs:{a:r,b:i},backend:n});return n.disposeIntermediateTensorInfo(i),o}throw new Error(`Error in Cast: failed to cast ${r.dtype} to ${s}`)}var J9={kernelName:xi,backendName:"webgl",kernelFunc:xx},SI="return ceil(x);",Q9=Ye({opSnippet:SI,packedOpSnippet:SI,cpuKernelImpl:n7}),eQ={kernelName:vi,backendName:"webgl",kernelFunc:Q9},tQ=class{constructor(e){this.variableNames=["A"],this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=e,this.userCode=` void main() { float value = getAAtOutCoords(); @@ -2128,7 +2122,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam setOutput(clamp(value, minVal, maxVal)); } - `}},W9=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=e,this.userCode=` + `}},nQ=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=e,this.userCode=` void main() { vec4 value = getAAtOutCoords(); @@ -2139,7 +2133,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam setOutput(clamp(value, vec4(minVal), vec4(maxVal))); } - `}};function V9(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{clipValueMin:s,clipValueMax:i}=a,o;H().getBool("WEBGL_PACK_CLIP")?o=new W9(r.shape):o=new B9(r.shape);let l=[[s],[i]];return n.runWebGLProgram(o,[r],r.dtype,l)}var U9={kernelName:gs,backendName:"webgl",kernelFunc:V9},G9=class{constructor(e){this.variableNames=["real","imag"],this.outputShape=e,this.userCode=` + `}};function aQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{clipValueMin:s,clipValueMax:i}=a,o;H().getBool("WEBGL_PACK_CLIP")?o=new nQ(r.shape):o=new tQ(r.shape);let l=[[s],[i]];return n.runWebGLProgram(o,[r],r.dtype,l)}var rQ={kernelName:bs,backendName:"webgl",kernelFunc:aQ},sQ=class{constructor(e){this.variableNames=["real","imag"],this.outputShape=e,this.userCode=` void main() { float re = abs(getRealAtOutCoords()); float im = abs(getImagAtOutCoords()); @@ -2152,7 +2146,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx)) ); } - `}};function yI(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}}function H9(e){let{inputs:t,backend:n}=e,{x:a}=t,r=n.texData.get(a.dataId),s=new G9(a.shape),i=[yI(a,r.complexTensorInfos.real),yI(a,r.complexTensorInfos.imag)];return n.runWebGLProgram(s,i,i[0].dtype)}var j9={kernelName:cc,backendName:"webgl",kernelFunc:H9},q9=class{constructor(e){this.outputShape=[],this.outputShape=N.computeOutShape(e,1),this.variableNames=e.map((s,i)=>`T${i}`);let t=new Array(e.length-1);t[0]=e[0][1];for(let s=1;s`T${i}`);let t=new Array(e.length-1);t[0]=e[0][1];for(let s=1;s`T${f}`);let o=new Array(e.length-1);o[0]=e[0][t];for(let m=1;m`T${f}`);let o=new Array(e.length-1);o[0]=e[0][t];for(let m=1;m= ${o[m-1]}) { return getChannel( - getT${m}(${gh(i,l,f)}), - vec2(${gh(u,l,f)})); + getT${m}(${bh(i,l,f)}), + vec2(${bh(u,l,f)})); }`}let c=o.length,h=o[o.length-1];d+=` return getChannel( - getT${c}(${gh(i,l,h)}), - vec2(${gh(u,l,h)}));`,this.userCode=` + getT${c}(${bh(i,l,h)}), + vec2(${bh(u,l,h)}));`,this.userCode=` float getValue(${i.map(m=>"int "+m)}) { ${d} } @@ -2198,7 +2192,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam } setOutput(result); } - `}};function gh(e,t,n){let a=e.indexOf(t);return e.map((r,s)=>s===a?`${r} - ${n}`:r).join()}function Yf(e){let{inputs:t,backend:n}=e,{input:a}=t,r=n.texData.get(a.dataId);return na({inputs:{x:r.complexTensorInfos.imag},backend:n})}var X9={kernelName:Tm,backendName:"webgl",kernelFunc:Yf};function zp(e,t,n){let a=e[0].dtype;if(a==="complex64"){let d=e.map(g=>ud({inputs:{input:g},backend:n})),c=e.map(g=>Yf({inputs:{input:g},backend:n})),h=zp(d,t,n),m=zp(c,t,n),f=_s({inputs:{real:h,imag:m},backend:n});return d.forEach(g=>n.disposeIntermediateTensorInfo(g)),c.forEach(g=>n.disposeIntermediateTensorInfo(g)),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(m),f}let r=n.shouldExecuteOnCPU(e);if(a==="string"&&(r=!0),r){let d=e.map(y=>{let x=v.sizeFromShape(y.shape.slice(t));return de({inputs:{x:y},backend:n,attrs:{shape:[-1,x]}})}),c=d.map(y=>({vals:n.readSync(y.dataId),shape:y.shape})),h=N.computeOutShape(d.map(y=>y.shape),1),m=d[0].shape[0]===1,f=U7(c,h,a,m),g=N.computeOutShape(e.map(y=>y.shape),t),b=n.makeTensorInfo(g,a,f);return d.forEach(y=>n.disposeIntermediateTensorInfo(y)),b}let s=H().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER");if(e.length>s){let d=[];for(let h=0;h1){let d=new K9(e.map(c=>c.shape),t);return n.runWebGLProgram(d,e,a)}let{tensors2D:i,outShape:o}=Y9(e,t,n),l=new q9(i.map(d=>d.shape)),u=n.runWebGLProgram(l,i,a);i.forEach(d=>n.disposeIntermediateTensorInfo(d));let p=de({inputs:{x:u},attrs:{shape:o},backend:n});return n.disposeIntermediateTensorInfo(u),p}function Y9(e,t,n){let a=N.computeOutShape(e.map(r=>r.shape),t);return{tensors2D:e.map(r=>de({inputs:{x:r},attrs:{shape:[-1,v.sizeFromShape(r.shape.slice(t))]},backend:n})),outShape:a}}function cE(e){let{inputs:t,backend:n,attrs:a}=e,{axis:r}=a,s=v.parseAxisParam(r,t[0].shape)[0],i=t.map(u=>u.shape);N.assertParamsConsistent(i,s);let o=N.computeOutShape(t.map(u=>u.shape),s);if(v.sizeFromShape(o)===0)return n.makeTensorInfo(o,t[0].dtype,[]);let l=t.filter(u=>v.sizeFromShape(u.shape)>0);return l.length===1?na({inputs:{x:l[0]},backend:n}):zp(l,s,n)}var Z9={kernelName:Vl,backendName:"webgl",kernelFunc:cE},dE=class{constructor(e,t=!1,n=null,a=!1,r=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;let s=e.padInfo.top,i=e.padInfo.left,o=e.strideHeight,l=e.strideWidth,u=e.dilationHeight,p=e.dilationWidth,d=e.filterHeight,c=e.filterWidth,h=Math.floor(e.inChannels/4)*4,m=e.inChannels%4,f=e.dataFormat==="channelsLast",g=f?1:2,b=f?2:3,y=f?3:1,x="",w="";n&&(a?x=`float activation(float a) { + `}};function bh(e,t,n){let a=e.indexOf(t);return e.map((r,s)=>s===a?`${r} - ${n}`:r).join()}function Jf(e){let{inputs:t,backend:n}=e,{input:a}=t,r=n.texData.get(a.dataId);return aa({inputs:{x:r.complexTensorInfos.imag},backend:n})}var pQ={kernelName:Nm,backendName:"webgl",kernelFunc:Jf};function Vp(e,t,n){let a=e[0].dtype;if(a==="complex64"){let d=e.map(g=>pd({inputs:{input:g},backend:n})),c=e.map(g=>Jf({inputs:{input:g},backend:n})),h=Vp(d,t,n),m=Vp(c,t,n),f=_s({inputs:{real:h,imag:m},backend:n});return d.forEach(g=>n.disposeIntermediateTensorInfo(g)),c.forEach(g=>n.disposeIntermediateTensorInfo(g)),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(m),f}let r=n.shouldExecuteOnCPU(e);if(a==="string"&&(r=!0),r){let d=e.map(y=>{let x=v.sizeFromShape(y.shape.slice(t));return de({inputs:{x:y},backend:n,attrs:{shape:[-1,x]}})}),c=d.map(y=>({vals:n.readSync(y.dataId),shape:y.shape})),h=N.computeOutShape(d.map(y=>y.shape),1),m=d[0].shape[0]===1,f=a7(c,h,a,m),g=N.computeOutShape(e.map(y=>y.shape),t),b=n.makeTensorInfo(g,a,f);return d.forEach(y=>n.disposeIntermediateTensorInfo(y)),b}let s=H().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER");if(e.length>s){let d=[];for(let h=0;h1){let d=new uQ(e.map(c=>c.shape),t);return n.runWebGLProgram(d,e,a)}let{tensors2D:i,outShape:o}=cQ(e,t,n),l=new lQ(i.map(d=>d.shape)),u=n.runWebGLProgram(l,i,a);i.forEach(d=>n.disposeIntermediateTensorInfo(d));let p=de({inputs:{x:u},attrs:{shape:o},backend:n});return n.disposeIntermediateTensorInfo(u),p}function cQ(e,t,n){let a=N.computeOutShape(e.map(r=>r.shape),t);return{tensors2D:e.map(r=>de({inputs:{x:r},attrs:{shape:[-1,v.sizeFromShape(r.shape.slice(t))]},backend:n})),outShape:a}}function xE(e){let{inputs:t,backend:n,attrs:a}=e,{axis:r}=a,s=v.parseAxisParam(r,t[0].shape)[0],i=t.map(u=>u.shape);N.assertParamsConsistent(i,s);let o=N.computeOutShape(t.map(u=>u.shape),s);if(v.sizeFromShape(o)===0)return n.makeTensorInfo(o,t[0].dtype,[]);let l=t.filter(u=>v.sizeFromShape(u.shape)>0);return l.length===1?aa({inputs:{x:l[0]},backend:n}):Vp(l,s,n)}var dQ={kernelName:Gl,backendName:"webgl",kernelFunc:xE},vE=class{constructor(e,t=!1,n=null,a=!1,r=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;let s=e.padInfo.top,i=e.padInfo.left,o=e.strideHeight,l=e.strideWidth,u=e.dilationHeight,p=e.dilationWidth,d=e.filterHeight,c=e.filterWidth,h=Math.floor(e.inChannels/4)*4,m=e.inChannels%4,f=e.dataFormat==="channelsLast",g=f?1:2,b=f?2:3,y=f?3:1,x="",w="";n&&(a?x=`float activation(float a) { float b = getPreluActivationWeightsAtOutCoords(); ${n} }`:r?x=`float activation(float a) { @@ -2332,7 +2326,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam ${w} setOutput(result); } - `}},J9=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let t=e.padInfo.front,n=e.padInfo.top,a=e.padInfo.left,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,l=e.dilationHeight,u=e.dilationWidth,p=e.filterDepth,d=e.filterHeight,c=e.filterWidth,h=Math.floor(e.inChannels/4)*4,m=e.inChannels%4;this.userCode=` + `}},hQ=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let t=e.padInfo.front,n=e.padInfo.top,a=e.padInfo.left,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,l=e.dilationHeight,u=e.dilationWidth,p=e.filterDepth,d=e.filterHeight,c=e.filterWidth,h=Math.floor(e.inChannels/4)*4,m=e.inChannels%4;this.userCode=` const ivec3 strides = ivec3(${r}, ${s}, ${i}); const ivec3 pads = ivec3(${t}, ${n}, ${a}); @@ -2420,7 +2414,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam } setOutput(dotProd); } - `}},hE=class{constructor(e,t=!1,n=null,a=!1,r=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=Cn(this.outputShape.length);let s=e.padInfo.left,i=e.strideWidth,o=e.dilationWidth,l=e.filterHeight,u=e.filterWidth,p=u,d=` + `}},wE=class{constructor(e,t=!1,n=null,a=!1,r=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=En(this.outputShape.length);let s=e.padInfo.left,i=e.strideWidth,o=e.dilationWidth,l=e.filterHeight,u=e.filterWidth,p=u,d=` int xR; int xC; int xCOffset; vec4 wTexel; vec4 previous; vec4 final;`;for(let f=0;f=3?t?[...e.slice(0,-3),e[n-3]*e[n-2],e[n-1]]:[...e.slice(0,-3),e[n-3],e[n-2]*e[n-1]]:!t&&n===1&&e[0]>1?[e[0],1]:null}function mE({x:e,filter:t,convInfo:n,backend:a,bias:r=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let l=e.shape,u=a.texData.get(e.dataId),p=n.inChannels,d=l[0]*l[1]*l[2],c=n.outChannels,h=n.dataFormat==="channelsLast",m=!1,f=!1,g,b=[];if(s!=null){let y=nm(s.shape,h);y!=null&&(s=de({inputs:{x:s},backend:a,attrs:{shape:y}}),b.push(s))}if(r!=null){let y=nm(r.shape,h);y!=null&&(r=de({inputs:{x:r},backend:a,attrs:{shape:y}}),b.push(r))}if(!((d===1||c===1)&&p>iE)&&u.isPacked&&h&&u.texture!=null&&l[2]%2!==0&&v.arraysEqual(u.shape.slice(-3),l.slice(-3))){let y=l[0]*l[1]*(l[2]+1),x={dataId:e.dataId,shape:[1,y,n.inChannels],dtype:e.dtype},w=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,v.assert(ac(u.shape,x.shape),()=>`packed reshape ${u.shape} to ${x.shape} isn't free`);let I=de({inputs:{x:t},backend:a,attrs:{shape:[1,n.inChannels,n.outChannels]}});b.push(I);let T=tm({a:x,b:I,backend:a,transposeA:m,transposeB:f,bias:r,activation:o,preluActivationWeights:s,leakyreluAlpha:i}),C=a.texData.get(T.dataId);v.assert(C.isPacked,()=>"batchMatMul result is expected to be packed"),u.shape=w,C.shape=n.outShape,g=na({inputs:{x:T},backend:a}),g.shape=n.outShape,b.push(T)}else{let y=n.outHeight*n.outWidth,x=de({inputs:{x:e},backend:a,attrs:{shape:h?[n.batchSize,y,n.inChannels]:[n.batchSize,n.inChannels,y]}}),w=de({inputs:{x:t},backend:a,attrs:{shape:[1,n.inChannels,n.outChannels]}}),I=tm({a:h?x:w,b:h?w:x,transposeA:!h,transposeB:f,backend:a,bias:r,activation:o,preluActivationWeights:s,leakyreluAlpha:i});g=de({inputs:{x:I},backend:a,attrs:{shape:n.outShape}}),b.push(x),b.push(w),b.push(I)}for(let y of b)a.disposeIntermediateTensorInfo(y);return g}function fE({x:e,filter:t,convInfo:n,backend:a,bias:r=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let{filterWidth:l,filterHeight:u,inChannels:p,outWidth:d,outHeight:c,dataFormat:h}=n,m=h==="channelsLast",f=l*u*p,g=c*d,b=[n.batchSize,f,g],y=!0,x=!1,w=[];if(s!=null){let K=nm(s.shape,m);K!=null&&(s=de({inputs:{x:s},backend:a,attrs:{shape:K}}),w.push(s))}if(r!=null){let K=nm(r.shape,m);K!=null&&(r=de({inputs:{x:r},backend:a,attrs:{shape:K}}),w.push(r))}let I=de({inputs:{x:t},backend:a,attrs:{shape:[1,f,v.sizeFromShape(t.shape)/f]}});w.push(I);let T=new Q9(b,n),C=[e.shape,[n.padInfo.top,n.padInfo.left],[n.strideHeight,n.strideWidth],[n.dilationHeight,n.dilationWidth],[n.inChannels],[n.filterWidth*n.inChannels],[n.outWidth]],E=a.runWebGLProgram(T,[e],"float32",C),A=de({inputs:{x:E},backend:a,attrs:{shape:b}});w.push(E),w.push(A);let R=r!=null,F=s!=null,S=o==="leakyrelu",M=o?rc(o,!0):null,W=new sE(m?A.shape:I.shape,m?I.shape:A.shape,m?[n.batchSize,g,n.outChannels]:[n.batchSize,n.outChannels,g],y,x,R,M,F,S),U=m?[A,I]:[I,A];if(r&&U.push(r),F&&U.push(s),S){let K=a.makeTensorInfo([],"float32",v.createScalarValue(i,"float32"));U.push(K),w.push(K)}let G=a.runWebGLProgram(W,U,"float32"),q=de({inputs:{x:G},backend:a,attrs:{shape:n.outShape}});w.push(G);for(let K of w)a.disposeIntermediateTensorInfo(K);return q}function eQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dataFormat:l,dilations:u,dimRoundingMode:p}=a,d=N.convertConv2DDataFormat(l),c=N.computeConv2DInfo(r.shape,s.shape,i,u,o,p,!1,d),h;if(c.filterHeight===1&&c.filterWidth===1&&c.dilationHeight===1&&c.dilationWidth===1&&c.strideHeight===1&&c.strideWidth===1&&(c.padInfo.type==="SAME"||c.padInfo.type==="VALID"))h=mE({x:r,filter:s,convInfo:c,backend:n});else if(c.strideWidth<=2&&d==="channelsLast"&&H().getBool("WEBGL_EXP_CONV")){let f=new hE(c),g=[[c.padInfo.top,c.padInfo.left],[c.strideHeight,c.strideWidth],[c.dilationHeight,c.dilationWidth],[c.inHeight,c.inWidth]];h=n.runWebGLProgram(f,[r,s],"float32",g)}else if(H().getBool("WEBGL_CONV_IM2COL"))h=fE({x:r,filter:s,convInfo:c,backend:n});else{let f=new dE(c);h=n.runWebGLProgram(f,[r,s],"float32")}let m=de({inputs:{x:h},backend:n,attrs:{shape:c.outShape}});return n.disposeIntermediateTensorInfo(h),m}var tQ={kernelName:wi,backendName:"webgl",kernelFunc:eQ},nQ=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,a=e.padInfo.top,r=e.padInfo.left,s=e.dataFormat==="channelsLast";this.userCode=` + `}};function am(e,t){let n=e.length;return n>=3?t?[...e.slice(0,-3),e[n-3]*e[n-2],e[n-1]]:[...e.slice(0,-3),e[n-3],e[n-2]*e[n-1]]:!t&&n===1&&e[0]>1?[e[0],1]:null}function kE({x:e,filter:t,convInfo:n,backend:a,bias:r=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let l=e.shape,u=a.texData.get(e.dataId),p=n.inChannels,d=l[0]*l[1]*l[2],c=n.outChannels,h=n.dataFormat==="channelsLast",m=!1,f=!1,g,b=[];if(s!=null){let y=am(s.shape,h);y!=null&&(s=de({inputs:{x:s},backend:a,attrs:{shape:y}}),b.push(s))}if(r!=null){let y=am(r.shape,h);y!=null&&(r=de({inputs:{x:r},backend:a,attrs:{shape:y}}),b.push(r))}if(!((d===1||c===1)&&p>mE)&&u.isPacked&&h&&u.texture!=null&&l[2]%2!==0&&v.arraysEqual(u.shape.slice(-3),l.slice(-3))){let y=l[0]*l[1]*(l[2]+1),x={dataId:e.dataId,shape:[1,y,n.inChannels],dtype:e.dtype},w=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,v.assert(sc(u.shape,x.shape),()=>`packed reshape ${u.shape} to ${x.shape} isn't free`);let I=de({inputs:{x:t},backend:a,attrs:{shape:[1,n.inChannels,n.outChannels]}});b.push(I);let T=nm({a:x,b:I,backend:a,transposeA:m,transposeB:f,bias:r,activation:o,preluActivationWeights:s,leakyreluAlpha:i}),C=a.texData.get(T.dataId);v.assert(C.isPacked,()=>"batchMatMul result is expected to be packed"),u.shape=w,C.shape=n.outShape,g=aa({inputs:{x:T},backend:a}),g.shape=n.outShape,b.push(T)}else{let y=n.outHeight*n.outWidth,x=de({inputs:{x:e},backend:a,attrs:{shape:h?[n.batchSize,y,n.inChannels]:[n.batchSize,n.inChannels,y]}}),w=de({inputs:{x:t},backend:a,attrs:{shape:[1,n.inChannels,n.outChannels]}}),I=nm({a:h?x:w,b:h?w:x,transposeA:!h,transposeB:f,backend:a,bias:r,activation:o,preluActivationWeights:s,leakyreluAlpha:i});g=de({inputs:{x:I},backend:a,attrs:{shape:n.outShape}}),b.push(x),b.push(w),b.push(I)}for(let y of b)a.disposeIntermediateTensorInfo(y);return g}function IE({x:e,filter:t,convInfo:n,backend:a,bias:r=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let{filterWidth:l,filterHeight:u,inChannels:p,outWidth:d,outHeight:c,dataFormat:h}=n,m=h==="channelsLast",f=l*u*p,g=c*d,b=[n.batchSize,f,g],y=!0,x=!1,w=[];if(s!=null){let K=am(s.shape,m);K!=null&&(s=de({inputs:{x:s},backend:a,attrs:{shape:K}}),w.push(s))}if(r!=null){let K=am(r.shape,m);K!=null&&(r=de({inputs:{x:r},backend:a,attrs:{shape:K}}),w.push(r))}let I=de({inputs:{x:t},backend:a,attrs:{shape:[1,f,v.sizeFromShape(t.shape)/f]}});w.push(I);let T=new mQ(b,n),C=[e.shape,[n.padInfo.top,n.padInfo.left],[n.strideHeight,n.strideWidth],[n.dilationHeight,n.dilationWidth],[n.inChannels],[n.filterWidth*n.inChannels],[n.outWidth]],E=a.runWebGLProgram(T,[e],"float32",C),A=de({inputs:{x:E},backend:a,attrs:{shape:b}});w.push(E),w.push(A);let R=r!=null,F=s!=null,S=o==="leakyrelu",M=o?ic(o,!0):null,B=new hE(m?A.shape:I.shape,m?I.shape:A.shape,m?[n.batchSize,g,n.outChannels]:[n.batchSize,n.outChannels,g],y,x,R,M,F,S),U=m?[A,I]:[I,A];if(r&&U.push(r),F&&U.push(s),S){let K=a.makeTensorInfo([],"float32",v.createScalarValue(i,"float32"));U.push(K),w.push(K)}let G=a.runWebGLProgram(B,U,"float32"),q=de({inputs:{x:G},backend:a,attrs:{shape:n.outShape}});w.push(G);for(let K of w)a.disposeIntermediateTensorInfo(K);return q}function fQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dataFormat:l,dilations:u,dimRoundingMode:p}=a,d=N.convertConv2DDataFormat(l),c=N.computeConv2DInfo(r.shape,s.shape,i,u,o,p,!1,d),h;if(c.filterHeight===1&&c.filterWidth===1&&c.dilationHeight===1&&c.dilationWidth===1&&c.strideHeight===1&&c.strideWidth===1&&(c.padInfo.type==="SAME"||c.padInfo.type==="VALID"))h=kE({x:r,filter:s,convInfo:c,backend:n});else if(c.strideWidth<=2&&d==="channelsLast"&&H().getBool("WEBGL_EXP_CONV")){let f=new wE(c),g=[[c.padInfo.top,c.padInfo.left],[c.strideHeight,c.strideWidth],[c.dilationHeight,c.dilationWidth],[c.inHeight,c.inWidth]];h=n.runWebGLProgram(f,[r,s],"float32",g)}else if(H().getBool("WEBGL_CONV_IM2COL"))h=IE({x:r,filter:s,convInfo:c,backend:n});else{let f=new vE(c);h=n.runWebGLProgram(f,[r,s],"float32")}let m=de({inputs:{x:h},backend:n,attrs:{shape:c.outShape}});return n.disposeIntermediateTensorInfo(h),m}var gQ={kernelName:wi,backendName:"webgl",kernelFunc:fQ},bQ=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,a=e.padInfo.top,r=e.padInfo.left,s=e.dataFormat==="channelsLast";this.userCode=` void main() { ivec4 coords = getOutputCoords(); int wR = coords.x; @@ -2705,7 +2699,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam } setOutput(dotProd); } - `}},aQ=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,a=e.strideHeight,r=e.strideWidth,s=e.dataFormat==="channelsLast",i=t-1-e.padInfo.top,o=n-1-e.padInfo.left,l=s?1:2,u=s?2:3,p=s?3:1;this.userCode=` + `}},yQ=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,a=e.strideHeight,r=e.strideWidth,s=e.dataFormat==="channelsLast",i=t-1-e.padInfo.top,o=n-1-e.padInfo.left,l=s?1:2,u=s?2:3,p=s?3:1;this.userCode=` const ivec2 pads = ivec2(${i}, ${o}); void main() { @@ -2758,7 +2752,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam } setOutput(dotProd); } - `}},rQ=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideDepth,n=e.strideHeight,a=e.strideWidth,r=e.padInfo.front,s=e.padInfo.top,i=e.padInfo.left;this.userCode=` + `}},xQ=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideDepth,n=e.strideHeight,a=e.strideWidth,r=e.padInfo.front,s=e.padInfo.top,i=e.padInfo.left;this.userCode=` void main() { ivec5 coords = getOutputCoords(); int wF = coords.x; @@ -2800,7 +2794,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam } setOutput(dotProd); } - `}},sQ=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,a=e.filterWidth,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=t-1-e.padInfo.front,l=n-1-e.padInfo.top,u=a-1-e.padInfo.left;this.userCode=` + `}},vQ=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,a=e.filterWidth,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=t-1-e.padInfo.front,l=n-1-e.padInfo.top,u=a-1-e.padInfo.left;this.userCode=` const ivec3 pads = ivec3(${o}, ${l}, ${u}); void main() { @@ -2857,12 +2851,12 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam } setOutput(dotProd); } - `}};function iQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,dy:s}=t,{strides:i,pad:o,dataFormat:l,dimRoundingMode:u,filterShape:p}=a,d=N.convertConv2DDataFormat(l),c=N.computeConv2DInfo(r.shape,p,i,1,o,u,!1,d),h=new nQ(c);return n.runWebGLProgram(h,[r,s],"float32")}var oQ={kernelName:mm,backendName:"webgl",kernelFunc:iQ};function lQ(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,filter:s}=t,{inputShape:i,strides:o,pad:l,dataFormat:u,dimRoundingMode:p}=a,d=N.convertConv2DDataFormat(u),c=N.computeConv2DInfo(i,s.shape,o,1,l,p,!1,d),h=new aQ(c);return n.runWebGLProgram(h,[r,s],"float32")}var uQ={kernelName:ki,backendName:"webgl",kernelFunc:lQ};function pQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l}=a,u=N.computeConv3DInfo(r.shape,s.shape,i,l,o),p=new J9(u);return n.runWebGLProgram(p,[r,s],"float32")}var cQ={kernelName:dc,backendName:"webgl",kernelFunc:pQ};function dQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,dy:s}=t,{strides:i,pad:o,filterShape:l}=a,u=N.computeConv3DInfo(r.shape,l,i,1,o),p=new rQ(u);return n.runWebGLProgram(p,[r,s],"float32")}var hQ={kernelName:fm,backendName:"webgl",kernelFunc:dQ};function mQ(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,filter:s}=t,{pad:i,strides:o,inputShape:l}=a,u=N.computeConv3DInfo(l,s.shape,o,1,i),p=new sQ(u);return n.runWebGLProgram(p,[r,s],"float32")}var fQ={kernelName:gm,backendName:"webgl",kernelFunc:mQ},gQ=Qu+` + `}};function wQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,dy:s}=t,{strides:i,pad:o,dataFormat:l,dimRoundingMode:u,filterShape:p}=a,d=N.convertConv2DDataFormat(l),c=N.computeConv2DInfo(r.shape,p,i,1,o,u,!1,d),h=new bQ(c);return n.runWebGLProgram(h,[r,s],"float32")}var kQ={kernelName:fm,backendName:"webgl",kernelFunc:wQ};function IQ(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,filter:s}=t,{inputShape:i,strides:o,pad:l,dataFormat:u,dimRoundingMode:p}=a,d=N.convertConv2DDataFormat(u),c=N.computeConv2DInfo(i,s.shape,o,1,l,p,!1,d),h=new yQ(c);return n.runWebGLProgram(h,[r,s],"float32")}var SQ={kernelName:ki,backendName:"webgl",kernelFunc:IQ};function TQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l}=a,u=N.computeConv3DInfo(r.shape,s.shape,i,l,o),p=new hQ(u);return n.runWebGLProgram(p,[r,s],"float32")}var NQ={kernelName:mc,backendName:"webgl",kernelFunc:TQ};function CQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,dy:s}=t,{strides:i,pad:o,filterShape:l}=a,u=N.computeConv3DInfo(r.shape,l,i,1,o),p=new xQ(u);return n.runWebGLProgram(p,[r,s],"float32")}var _Q={kernelName:gm,backendName:"webgl",kernelFunc:CQ};function EQ(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,filter:s}=t,{pad:i,strides:o,inputShape:l}=a,u=N.computeConv3DInfo(l,s.shape,o,1,i),p=new vQ(u);return n.runWebGLProgram(p,[r,s],"float32")}var AQ={kernelName:bm,backendName:"webgl",kernelFunc:EQ},$Q=tp+` return cos(x); -`,bQ=Ye({opSnippet:gQ}),yQ={kernelName:Ii,backendName:"webgl",kernelFunc:bQ},xQ=` +`,FQ=Ye({opSnippet:$Q}),DQ={kernelName:Ii,backendName:"webgl",kernelFunc:FQ},RQ=` float e2x = exp(-x); return (e2x + 1.0 / e2x) / 2.0; -`,vQ=Ye({opSnippet:xQ}),wQ={kernelName:Si,backendName:"webgl",kernelFunc:vQ},kQ=class{constructor(e,t,n,a,r){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];let[s,i,o,l]=e,[u]=t,[p,d]=n;this.outputShape=[u,p,d,l];let c=a==="bilinear"?1:0,[h,m]=[`${i-1}.0`,`${o-1}.0`],[f,g,b]=p>1?[`${(i-1)/(p-1)}`,"(y2-y1) * height_ratio",`y1*${h} + float(y)*(height_scale)`]:["0.0","0.0",`0.5 * (y1+y2) * ${h}`],[y,x,w]=d>1?[`${(o-1)/(d-1)}`,"(x2-x1) * width_ratio",`x1*${m} + float(x)*(width_scale)`]:["0.0","0.0",`0.5 * (x1+x2) * ${m}`];this.userCode=` +`,MQ=Ye({opSnippet:RQ}),PQ={kernelName:Si,backendName:"webgl",kernelFunc:MQ},OQ=class{constructor(e,t,n,a,r){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];let[s,i,o,l]=e,[u]=t,[p,d]=n;this.outputShape=[u,p,d,l];let c=a==="bilinear"?1:0,[h,m]=[`${i-1}.0`,`${o-1}.0`],[f,g,b]=p>1?[`${(i-1)/(p-1)}`,"(y2-y1) * height_ratio",`y1*${h} + float(y)*(height_scale)`]:["0.0","0.0",`0.5 * (y1+y2) * ${h}`],[y,x,w]=d>1?[`${(o-1)/(d-1)}`,"(x2-x1) * width_ratio",`x1*${m} + float(x)*(width_scale)`]:["0.0","0.0",`0.5 * (x1+x2) * ${m}`];this.userCode=` const float height_ratio = float(${f}); const float width_ratio = float(${y}); void main() { @@ -2923,20 +2917,20 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam setOutput(newValue); } } - `}},IQ=e=>{let{inputs:t,backend:n,attrs:a}=e,{image:r,boxes:s,boxInd:i}=t,{cropSize:o,method:l,extrapolationValue:u}=a,p=new kQ(r.shape,s.shape,o,l,u);return n.runWebGLProgram(p,[r,s,i],"float32")},SQ={kernelName:Gl,backendName:"webgl",kernelFunc:IQ},ic;(function(e){e.Prod="*",e.Sum="+"})(ic||(ic={}));var xI=class{constructor(e,t,n,a){this.op=e,this.outputShape=t,this.variableNames=["x"],this.customUniforms=[{name:"index",type:"float"}];let r=this.outputShape.length,s=this.op===ic.Prod?"1.0":"0.0",i=n?s:`getX(${vI(r,"coords",this.op)})`,o=this.outputShape[this.outputShape.length-1],l="",u="";n?(l=a?`end != ${o-1}`:"end != 0",u=a?"end + 1":"end - 1"):(l=a?`end + pow2 < ${o}`:"end >= pow2",u=a?"end + pow2":"end - pow2"),this.userCode=` + `}},LQ=e=>{let{inputs:t,backend:n,attrs:a}=e,{image:r,boxes:s,boxInd:i}=t,{cropSize:o,method:l,extrapolationValue:u}=a,p=new OQ(r.shape,s.shape,o,l,u);return n.runWebGLProgram(p,[r,s,i],"float32")},zQ={kernelName:jl,backendName:"webgl",kernelFunc:LQ},lc;(function(e){e.Prod="*",e.Sum="+"})(lc||(lc={}));var NI=class{constructor(e,t,n,a){this.op=e,this.outputShape=t,this.variableNames=["x"],this.customUniforms=[{name:"index",type:"float"}];let r=this.outputShape.length,s=this.op===lc.Prod?"1.0":"0.0",i=n?s:`getX(${CI(r,"coords",this.op)})`,o=this.outputShape[this.outputShape.length-1],l="",u="";n?(l=a?`end != ${o-1}`:"end != 0",u=a?"end + 1":"end - 1"):(l=a?`end + pow2 < ${o}`:"end >= pow2",u=a?"end + pow2":"end - pow2"),this.userCode=` void main() { ${gt(r)} coords = getOutputCoords(); - int end = ${wI(r,"coords",this.op)}; + int end = ${_I(r,"coords",this.op)}; float val = ${i}; int pow2 = int(pow(2.0, index)); if (${l}) { int idx = ${u}; - ${wI(r,"coords",this.op)} = idx; - val ${this.op}= getX(${vI(r,"coords",this.op)}); + ${_I(r,"coords",this.op)} = idx; + val ${this.op}= getX(${CI(r,"coords",this.op)}); } setOutput(val); } - `}};function vI(e,t,n){if(e===1)return`${t}`;if(e===2)return`${t}.x, ${t}.y`;if(e===3)return`${t}.x, ${t}.y, ${t}.z`;if(e===4)return`${t}.x, ${t}.y, ${t}.z, ${t}.w`;throw new Error(`Cumulative ${n} for rank ${e} is not yet supported`)}function wI(e,t,n){if(e===1)return`${t}`;if(e===2)return`${t}.y`;if(e===3)return`${t}.z`;if(e===4)return`${t}.w`;throw new Error(`Cumulative ${n} for rank ${e} is not yet supported`)}function gE(e,t,n,a,r,s){let i=t.shape.length,o=N.getAxesPermutation([a],i),l=t;o!=null&&(l=In({inputs:{x:t},backend:n,attrs:{perm:o}}));let u=N.getInnerMostAxes(1,i)[0];if(u!==i-1)throw new Error(`WebGL cumprod shader expects an inner-most axis=${t.shape.length-1} but got axis=${a}`);let p=l.shape[u],d=na({inputs:{x:l},backend:n});for(let c=0;c<=Math.ceil(Math.log2(p))-1;c++){let h=new xI(e,l.shape,!1,s),m=[[c]],f=d;d=n.runWebGLProgram(h,[d],d.dtype,m),n.disposeIntermediateTensorInfo(f)}if(r){let c=new xI(e,l.shape,r,s),h=d;d=n.runWebGLProgram(c,[d],d.dtype),n.disposeIntermediateTensorInfo(h)}if(o!=null){let c=N.getUndoAxesPermutation(o),h=In({inputs:{x:d},backend:n,attrs:{perm:c}});return n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(l),h}return d}function TQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=a;return gE(ic.Prod,r,n,s,i,o)}var NQ={kernelName:Ul,backendName:"webgl",kernelFunc:TQ};function CQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=a;return gE(ic.Sum,r,n,s,i,o)}var _Q={kernelName:Ti,backendName:"webgl",kernelFunc:CQ};function EQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,weights:s}=t,{size:i,binaryOutput:o}=a;if(r.shape.length===1){let l=n.readSync(r.dataId),u=n.readSync(s.dataId),p=X_(l,u,s.dtype,s.shape,i);return n.makeTensorInfo([i],s.dtype,p)}else if(r.shape.length===2){let l=n.bufferSync(r),u=n.bufferSync(s),p=B7(l,u,i,o);return n.makeTensorInfo(p.shape,s.dtype,p.values)}throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank${r.shape.length}.`)}var AQ={kernelName:bm,backendName:"webgl",kernelFunc:EQ},$Q=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=n,this.userCode=` + `}};function CI(e,t,n){if(e===1)return`${t}`;if(e===2)return`${t}.x, ${t}.y`;if(e===3)return`${t}.x, ${t}.y, ${t}.z`;if(e===4)return`${t}.x, ${t}.y, ${t}.z, ${t}.w`;throw new Error(`Cumulative ${n} for rank ${e} is not yet supported`)}function _I(e,t,n){if(e===1)return`${t}`;if(e===2)return`${t}.y`;if(e===3)return`${t}.z`;if(e===4)return`${t}.w`;throw new Error(`Cumulative ${n} for rank ${e} is not yet supported`)}function SE(e,t,n,a,r,s){let i=t.shape.length,o=N.getAxesPermutation([a],i),l=t;o!=null&&(l=Sn({inputs:{x:t},backend:n,attrs:{perm:o}}));let u=N.getInnerMostAxes(1,i)[0];if(u!==i-1)throw new Error(`WebGL cumprod shader expects an inner-most axis=${t.shape.length-1} but got axis=${a}`);let p=l.shape[u],d=aa({inputs:{x:l},backend:n});for(let c=0;c<=Math.ceil(Math.log2(p))-1;c++){let h=new NI(e,l.shape,!1,s),m=[[c]],f=d;d=n.runWebGLProgram(h,[d],d.dtype,m),n.disposeIntermediateTensorInfo(f)}if(r){let c=new NI(e,l.shape,r,s),h=d;d=n.runWebGLProgram(c,[d],d.dtype),n.disposeIntermediateTensorInfo(h)}if(o!=null){let c=N.getUndoAxesPermutation(o),h=Sn({inputs:{x:d},backend:n,attrs:{perm:c}});return n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(l),h}return d}function WQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=a;return SE(lc.Prod,r,n,s,i,o)}var BQ={kernelName:Hl,backendName:"webgl",kernelFunc:WQ};function VQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=a;return SE(lc.Sum,r,n,s,i,o)}var UQ={kernelName:Ti,backendName:"webgl",kernelFunc:VQ};function GQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,weights:s}=t,{size:i,binaryOutput:o}=a;if(r.shape.length===1){let l=n.readSync(r.dataId),u=n.readSync(s.dataId),p=aE(l,u,s.dtype,s.shape,i);return n.makeTensorInfo([i],s.dtype,p)}else if(r.shape.length===2){let l=n.bufferSync(r),u=n.bufferSync(s),p=e7(l,u,i,o);return n.makeTensorInfo(p.shape,s.dtype,p.values)}throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank${r.shape.length}.`)}var HQ={kernelName:ym,backendName:"webgl",kernelFunc:GQ},jQ=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=n,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; @@ -2955,7 +2949,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam float result = ${this.getInputSamplingString()}; setOutput(result); } - `}getHeightCoordString(){return this.dataFormat==="NHWC"?"coords[1]":"coords[2]"}getWidthCoordString(){return this.dataFormat==="NHWC"?"coords[2]":"coords[3]"}getDepthCoordString(){return this.dataFormat==="NHWC"?"coords[3]":"coords[1]"}getOutputDepthSize(){return this.dataFormat==="NHWC"?this.outputShape[3]:this.outputShape[1]}getInputSamplingString(){return this.dataFormat==="NHWC"?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}};function FQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockSize:s,dataFormat:i}=a,o=r.shape[0],l=i==="NHWC"?r.shape[1]:r.shape[2],u=i==="NHWC"?r.shape[2]:r.shape[3],p=i==="NHWC"?r.shape[3]:r.shape[1],d=l*s,c=u*s,h=p/(s*s),m=i==="NHWC"?[o,d,c,h]:[o,h,d,c],f=new $Q(m,s,i);return n.runWebGLProgram(f,[r],r.dtype)}var DQ={kernelName:Hl,backendName:"webgl",kernelFunc:FQ},bE=class{constructor(e,t=!1,n=null,a=!1,r=!1){this.variableNames=["x","W"],this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=Cn(this.outputShape.length);let s=e.filterHeight,i=e.filterWidth,o=e.outChannels/e.inChannels,l="",u="";n&&(a?l=`float activation(float a) { + `}getHeightCoordString(){return this.dataFormat==="NHWC"?"coords[1]":"coords[2]"}getWidthCoordString(){return this.dataFormat==="NHWC"?"coords[2]":"coords[3]"}getDepthCoordString(){return this.dataFormat==="NHWC"?"coords[3]":"coords[1]"}getOutputDepthSize(){return this.dataFormat==="NHWC"?this.outputShape[3]:this.outputShape[1]}getInputSamplingString(){return this.dataFormat==="NHWC"?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}};function qQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockSize:s,dataFormat:i}=a,o=r.shape[0],l=i==="NHWC"?r.shape[1]:r.shape[2],u=i==="NHWC"?r.shape[2]:r.shape[3],p=i==="NHWC"?r.shape[3]:r.shape[1],d=l*s,c=u*s,h=p/(s*s),m=i==="NHWC"?[o,d,c,h]:[o,h,d,c],f=new jQ(m,s,i);return n.runWebGLProgram(f,[r],r.dtype)}var KQ={kernelName:ql,backendName:"webgl",kernelFunc:qQ},TE=class{constructor(e,t=!1,n=null,a=!1,r=!1){this.variableNames=["x","W"],this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=En(this.outputShape.length);let s=e.filterHeight,i=e.filterWidth,o=e.outChannels/e.inChannels,l="",u="";n&&(a?l=`float activation(float a) { float b = getPreluActivationWeightsAtOutCoords(); ${n} }`:r?l=`float activation(float a) { @@ -3008,7 +3002,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam ${u} setOutput(result); } - `}},yE=class{constructor(e,t=!1,n=null,a=!1,r=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=Cn(this.outputShape.length);let s=e.outChannels/e.inChannels,i=e.padInfo.left,o=e.strideWidth,l=e.dilationWidth,u=e.filterHeight,p=e.filterWidth,d=p,c=` + `}},NE=class{constructor(e,t=!1,n=null,a=!1,r=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=En(this.outputShape.length);let s=e.outChannels/e.inChannels,i=e.padInfo.left,o=e.strideWidth,l=e.dilationWidth,u=e.filterHeight,p=e.filterWidth,d=p,c=` int xR; int xC; int xCOffset; vec4 wTexel; vec4 previous; vec4 final;`;for(let g=0;g`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${p}'`);let d=N.computeConv2DInfo(r.shape,s.shape,i,p,o,u,!0),c;H().getBool("WEBGL_PACK_DEPTHWISECONV")&&d.strideWidth<=2&&d.outChannels/d.inChannels===1?c=new yE(d):c=new bE(d);let h=[[d.padInfo.top,d.padInfo.left],[d.strideHeight,d.strideWidth],[d.dilationHeight,d.dilationWidth],[d.inHeight,d.inWidth]];return n.runWebGLProgram(c,[r,s],"float32",h)}var MQ={kernelName:Ni,backendName:"webgl",kernelFunc:RQ},PQ=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,a=e.padInfo.top,r=e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode=` + `}};function XQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l,dimRoundingMode:u}=a,p=l;p==null&&(p=[1,1]),v.assert(N.eitherStridesOrDilationsAreOne(i,p),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${p}'`);let d=N.computeConv2DInfo(r.shape,s.shape,i,p,o,u,!0),c;H().getBool("WEBGL_PACK_DEPTHWISECONV")&&d.strideWidth<=2&&d.outChannels/d.inChannels===1?c=new NE(d):c=new TE(d);let h=[[d.padInfo.top,d.padInfo.left],[d.strideHeight,d.strideWidth],[d.dilationHeight,d.dilationWidth],[d.inHeight,d.inWidth]];return n.runWebGLProgram(c,[r,s],"float32",h)}var YQ={kernelName:Ni,backendName:"webgl",kernelFunc:XQ},ZQ=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,a=e.padInfo.top,r=e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode=` void main() { ivec4 coords = getOutputCoords(); int wR = coords.x; @@ -3232,7 +3226,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam } setOutput(dotProd); } - `}},OQ=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,a=e.strideHeight,r=e.strideWidth,s=t-1-e.padInfo.top,i=n-1-e.padInfo.left,o=e.outChannels/e.inChannels;this.userCode=` + `}},JQ=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,a=e.strideHeight,r=e.strideWidth,s=t-1-e.padInfo.top,i=n-1-e.padInfo.left,o=e.outChannels/e.inChannels;this.userCode=` const ivec2 pads = ivec2(${s}, ${i}); void main() { @@ -3277,13 +3271,13 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam } setOutput(dotProd); } - `}};function LQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,dy:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:u,filterShape:p}=a,d=N.computeConv2DInfo(r.shape,p,i,o,l,u,!0),c=new PQ(d);return n.runWebGLProgram(c,[r,s],"float32")}var zQ={kernelName:ym,backendName:"webgl",kernelFunc:LQ};function BQ(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,filter:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:u,inputShape:p}=a,d=N.computeConv2DInfo(p,s.shape,i,o,l,u,!0),c=new OQ(d);return n.runWebGLProgram(c,[r,s],"float32")}var WQ={kernelName:xm,backendName:"webgl",kernelFunc:BQ},VQ=class{constructor(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode=` + `}};function QQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,dy:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:u,filterShape:p}=a,d=N.computeConv2DInfo(r.shape,p,i,o,l,u,!0),c=new ZQ(d);return n.runWebGLProgram(c,[r,s],"float32")}var eee={kernelName:xm,backendName:"webgl",kernelFunc:QQ};function tee(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,filter:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:u,inputShape:p}=a,d=N.computeConv2DInfo(p,s.shape,i,o,l,u,!0),c=new JQ(d);return n.runWebGLProgram(c,[r,s],"float32")}var nee={kernelName:vm,backendName:"webgl",kernelFunc:tee},aee=class{constructor(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode=` void main() { ivec2 coords = getOutputCoords(); float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0; setOutput(val); } - `}};function UQ(e){let{inputs:t,backend:n}=e,{x:a}=t,r=[...a.shape,...a.shape],s=v.sizeFromShape(a.shape),i=de({inputs:{x:a},backend:n,attrs:{shape:[s]}}),o=new VQ(s),l=n.runWebGLProgram(o,[i],i.dtype),u=de({inputs:{x:l},backend:n,attrs:{shape:r}});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(l),u}var GQ={kernelName:vm,backendName:"webgl",kernelFunc:UQ},HQ=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let{inHeight:t,inWidth:n,padInfo:a,strideHeight:r,strideWidth:s,filterHeight:i,filterWidth:o,dilationHeight:l,dilationWidth:u}=e,{top:p,left:d}=a;this.userCode=` + `}};function ree(e){let{inputs:t,backend:n}=e,{x:a}=t,r=[...a.shape,...a.shape],s=v.sizeFromShape(a.shape),i=de({inputs:{x:a},backend:n,attrs:{shape:[s]}}),o=new aee(s),l=n.runWebGLProgram(o,[i],i.dtype),u=de({inputs:{x:l},backend:n,attrs:{shape:r}});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(l),u}var see={kernelName:wm,backendName:"webgl",kernelFunc:ree},iee=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let{inHeight:t,inWidth:n,padInfo:a,strideHeight:r,strideWidth:s,filterHeight:i,filterWidth:o,dilationHeight:l,dilationWidth:u}=e,{top:p,left:d}=a;this.userCode=` const ivec2 strides = ivec2(${r}, ${s}); const ivec2 pads = ivec2(${p}, ${d}); const float neg_infinity = -3.4e38; @@ -3321,7 +3315,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam float result = curVal; setOutput(result); } - `}};function jQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l}=a,u=N.computeDilation2DInfo(r.shape,s.shape,i,o,"NHWC",l),p,d=new HQ(u);p=n.runWebGLProgram(d,[r,s],"float32");let c=de({inputs:{x:p},backend:n,attrs:{shape:u.outShape}});return n.disposeIntermediateTensorInfo(p),c}var qQ={kernelName:hc,backendName:"webgl",kernelFunc:jQ};function KQ(e){let{inputs:t,backend:n,attrs:a}=e,{equation:r}=a,s=t,{allDims:i,summedDims:o,idDims:l}=N.decodeEinsumEquation(r,s.length);N.checkEinsumDimSizes(i.length,l,s);let{path:u,steps:p}=N.getEinsumComputePath(o,l),d=p.length,c=null,h=i.length,m=[];for(let f=0;f=0&&(c=Xf({inputs:{x:c},backend:n,attrs:{axis:u[f]-(i.length-h),keepDims:!1}}),m.push(c)),h--)}for(let f of m)f!==c&&n.disposeIntermediateTensorInfo(f);return c}var XQ={kernelName:wm,backendName:"webgl",kernelFunc:KQ},YQ="return (x >= 0.0) ? x : (exp(x) - 1.0);",ZQ=` + `}};function oee(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l}=a,u=N.computeDilation2DInfo(r.shape,s.shape,i,o,"NHWC",l),p,d=new iee(u);p=n.runWebGLProgram(d,[r,s],"float32");let c=de({inputs:{x:p},backend:n,attrs:{shape:u.outShape}});return n.disposeIntermediateTensorInfo(p),c}var lee={kernelName:fc,backendName:"webgl",kernelFunc:oee};function uee(e){let{inputs:t,backend:n,attrs:a}=e,{equation:r}=a,s=t,{allDims:i,summedDims:o,idDims:l}=N.decodeEinsumEquation(r,s.length);N.checkEinsumDimSizes(i.length,l,s);let{path:u,steps:p}=N.getEinsumComputePath(o,l),d=p.length,c=null,h=i.length,m=[];for(let f=0;f=0&&(c=Zf({inputs:{x:c},backend:n,attrs:{axis:u[f]-(i.length-h),keepDims:!1}}),m.push(c)),h--)}for(let f of m)f!==c&&n.disposeIntermediateTensorInfo(f);return c}var pee={kernelName:km,backendName:"webgl",kernelFunc:uee},cee="return (x >= 0.0) ? x : (exp(x) - 1.0);",dee=` vec4 result; result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0); @@ -3330,12 +3324,12 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0); return result; -`,JQ=Ye({opSnippet:YQ,packedOpSnippet:ZQ}),QQ={kernelName:_i,backendName:"webgl",kernelFunc:JQ},eee="return (b >= 1.0) ? a : a * (b + 1.0);",tee=` +`,hee=Ye({opSnippet:cee,packedOpSnippet:dee}),mee={kernelName:_i,backendName:"webgl",kernelFunc:hee},fee="return (b >= 1.0) ? a : a * (b + 1.0);",gee=` vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.))); return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0)))); -`,nee=e=>{let{inputs:t,backend:n}=e,{dy:a,y:r}=t,s=H().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new ld(tee,a.shape,r.shape):new El(eee,a.shape,r.shape);return n.runWebGLProgram(s,[a,r],a.dtype)},aee={kernelName:km,backendName:"webgl",kernelFunc:nee},ree=` +`,bee=e=>{let{inputs:t,backend:n}=e,{dy:a,y:r}=t,s=H().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new ud(gee,a.shape,r.shape):new $l(fee,a.shape,r.shape);return n.runWebGLProgram(s,[a,r],a.dtype)},yee={kernelName:Im,backendName:"webgl",kernelFunc:bee},xee=` return vec4(equal(a, b)); -`,see="return float(a == b);",iee=pn({opSnippet:see,packedOpSnippet:ree,dtype:"bool",cpuKernelImpl:G7}),oee={kernelName:ql,backendName:"webgl",kernelFunc:iee},lee=` +`,vee="return float(a == b);",wee=cn({opSnippet:vee,packedOpSnippet:xee,dtype:"bool",cpuKernelImpl:r7}),kee={kernelName:Xl,backendName:"webgl",kernelFunc:wee},Iee=` // Error function is calculated approximately with elementary function. // See "Handbook of Mathematical Functions with Formulas, // Graphs, and Mathematical Tables", Abramowitz and Stegun. @@ -3350,9 +3344,9 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam x = abs(x); float t = 1.0 / (1.0 + p * x); return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x)); -`,uee=Ye({opSnippet:lee}),pee={kernelName:jl,backendName:"webgl",kernelFunc:uee},cee=Qu+` +`,See=Ye({opSnippet:Iee}),Tee={kernelName:Kl,backendName:"webgl",kernelFunc:See},Nee=tp+` return exp(x); -`,dee=` +`,Cee=` vec4 result = exp(x); bvec4 isNaN = isnan(x); result.r = isNaN.r ? x.r : result.r; @@ -3361,7 +3355,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam result.a = isNaN.a ? x.a : result.a; return result; -`,xE=Ye({opSnippet:cee,packedOpSnippet:dee,cpuKernelImpl:H7,dtype:"float32"}),hee={kernelName:Ei,backendName:"webgl",kernelFunc:xE};function yx(e){let{inputs:t,attrs:n,backend:a}=e,{dim:r}=n,{input:s}=t,i=s.shape.length,o=s.shape.slice(),l=r;return r<0&&(v.assert(-(i+1)<=r,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),l=i+r+1),o.splice(l,0,1),de({inputs:{x:s},backend:a,attrs:{shape:o}})}var mee={kernelName:Kl,backendName:"webgl",kernelFunc:yx},kI="return exp(x) - 1.0;",fee=Ye({opSnippet:kI,packedOpSnippet:kI,cpuKernelImpl:j7}),gee={kernelName:Xl,backendName:"webgl",kernelFunc:fee},II=class{constructor(e,t,n){this.variableNames=["real","imag"];let a=t[1];this.outputShape=t;let r=n?`2.0 * ${Math.PI}`:`-2.0 * ${Math.PI}`,s=n?`${a}.0`:"1.0",i;if(e==="real")i="return real * expR - imag * expI;";else if(e==="imag")i="return real * expI + imag * expR;";else throw new Error(`FFT component must be either "real" or "imag", got ${e}.`);this.userCode=` +`,CE=Ye({opSnippet:Nee,packedOpSnippet:Cee,cpuKernelImpl:s7,dtype:"float32"}),_ee={kernelName:Ei,backendName:"webgl",kernelFunc:CE};function vx(e){let{inputs:t,attrs:n,backend:a}=e,{dim:r}=n,{input:s}=t,i=s.shape.length,o=s.shape.slice(),l=r;return r<0&&(v.assert(-(i+1)<=r,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),l=i+r+1),o.splice(l,0,1),de({inputs:{x:s},backend:a,attrs:{shape:o}})}var Eee={kernelName:Yl,backendName:"webgl",kernelFunc:vx},EI="return exp(x) - 1.0;",Aee=Ye({opSnippet:EI,packedOpSnippet:EI,cpuKernelImpl:i7}),$ee={kernelName:Zl,backendName:"webgl",kernelFunc:Aee},AI=class{constructor(e,t,n){this.variableNames=["real","imag"];let a=t[1];this.outputShape=t;let r=n?`2.0 * ${Math.PI}`:`-2.0 * ${Math.PI}`,s=n?`${a}.0`:"1.0",i;if(e==="real")i="return real * expR - imag * expI;";else if(e==="imag")i="return real * expI + imag * expR;";else throw new Error(`FFT component must be either "real" or "imag", got ${e}.`);this.userCode=` const float exponentMultiplier = ${r}; float unaryOpComplex(float real, float expR, float imag, float expI) { @@ -3394,12 +3388,12 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam ivec2 coords = getOutputCoords(); setOutput(mulMatDFT(coords[0], coords[1])); } - `}};function vE(e,t,n){let a=n.texData.get(e.dataId),r=v.sizeFromShape(e.shape),s=e.shape[e.shape.length-1],i=r/s,o=de({inputs:{x:e},backend:n,attrs:{shape:[i,s]}}),l=o.shape,u=new II("real",l,t),p=new II("imag",l,t),d=[{dataId:a.complexTensorInfos.real.dataId,dtype:a.complexTensorInfos.real.dtype,shape:l},{dataId:a.complexTensorInfos.imag.dataId,dtype:a.complexTensorInfos.imag.dtype,shape:l}],c=n.runWebGLProgram(u,d,"float32"),h=n.runWebGLProgram(p,d,"float32"),m=_s({inputs:{real:c,imag:h},backend:n});n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(h);let f=de({inputs:{x:m},backend:n,attrs:{shape:e.shape}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(m),f}function bee(e){let{inputs:t,backend:n}=e,{input:a}=t;return vE(a,!1,n)}var yee={kernelName:Im,backendName:"webgl",kernelFunc:bee},xee=class{constructor(e,t){this.outputShape=[],this.customUniforms=[{name:"value",type:"float"}],this.variableNames=["x"],this.outputShape=e,this.userCode=` + `}};function _E(e,t,n){let a=n.texData.get(e.dataId),r=v.sizeFromShape(e.shape),s=e.shape[e.shape.length-1],i=r/s,o=de({inputs:{x:e},backend:n,attrs:{shape:[i,s]}}),l=o.shape,u=new AI("real",l,t),p=new AI("imag",l,t),d=[{dataId:a.complexTensorInfos.real.dataId,dtype:a.complexTensorInfos.real.dtype,shape:l},{dataId:a.complexTensorInfos.imag.dataId,dtype:a.complexTensorInfos.imag.dtype,shape:l}],c=n.runWebGLProgram(u,d,"float32"),h=n.runWebGLProgram(p,d,"float32"),m=_s({inputs:{real:c,imag:h},backend:n});n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(h);let f=de({inputs:{x:m},backend:n,attrs:{shape:e.shape}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(m),f}function Fee(e){let{inputs:t,backend:n}=e,{input:a}=t;return _E(a,!1,n)}var Dee={kernelName:Sm,backendName:"webgl",kernelFunc:Fee},Ree=class{constructor(e,t){this.outputShape=[],this.customUniforms=[{name:"value",type:"float"}],this.variableNames=["x"],this.outputShape=e,this.userCode=` void main() { // Input can be obtained from uniform value. setOutput(value); } - `}};function pd(e){let{backend:t,attrs:n}=e,{shape:a,value:r}=n,{dtype:s}=n;if(s=s||v.inferDtype(r),s==="string"){let i=v.getArrayFromDType(s,v.sizeFromShape(a));return i.fill(r),t.makeTensorInfo(a,s,i)}else{let i=new xee(a,r),o=[[r]];return t.runWebGLProgram(i,[],s,o)}}var vee={kernelName:mc,backendName:"webgl",kernelFunc:pd},wee=class{constructor(e){this.variableNames=["Image"],this.outputShape=[];let t=e[2];this.outputShape=e,this.userCode=` + `}};function cd(e){let{backend:t,attrs:n}=e,{shape:a,value:r}=n,{dtype:s}=n;if(s=s||v.inferDtype(r),s==="string"){let i=v.getArrayFromDType(s,v.sizeFromShape(a));return i.fill(r),t.makeTensorInfo(a,s,i)}else{let i=new Ree(a,r),o=[[r]];return t.runWebGLProgram(i,[],s,o)}}var Mee={kernelName:gc,backendName:"webgl",kernelFunc:cd},Pee=class{constructor(e){this.variableNames=["Image"],this.outputShape=[];let t=e[2];this.outputShape=e,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int x = coords[2]; @@ -3413,7 +3407,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam } setOutput(outputValue); } - `}},kee={kernelName:Yl,backendName:"webgl",kernelFunc:({inputs:e,backend:t})=>{let{image:n}=e,a=t,r=new wee(n.shape);return a.runWebGLProgram(r,[n],n.dtype)}},SI="return floor(x);",Iee=Ye({opSnippet:SI,packedOpSnippet:SI,cpuKernelImpl:q7}),See={kernelName:Ai,backendName:"webgl",kernelFunc:Iee},Tee=` + `}},Oee={kernelName:Jl,backendName:"webgl",kernelFunc:({inputs:e,backend:t})=>{let{image:n}=e,a=t,r=new Pee(n.shape);return a.runWebGLProgram(r,[n],n.dtype)}},$I="return floor(x);",Lee=Ye({opSnippet:$I,packedOpSnippet:$I,cpuKernelImpl:o7}),zee={kernelName:Ai,backendName:"webgl",kernelFunc:Lee},Wee=` float s = sign(a) * sign(b); int ia = round(a); int ib = round(b); @@ -3423,7 +3417,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam } else { return NAN; } -`,Nee=` +`,Bee=` ivec4 ia = round(a); ivec4 ib = round(b); bvec4 cond = notEqual(ib, ivec4(0)); @@ -3444,7 +3438,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam result[3] = idiv(ia[3], ib[3], s[3]); } return vec4(result); -`,Cee=pn({opSnippet:Tee,packedOpSnippet:Nee,dtype:"int32"}),_ee={kernelName:$i,backendName:"webgl",kernelFunc:Cee},Eee=class{constructor(e){this.variableNames=["A"];let t=Nn(),[n,a]=e;this.outputShape=e,this.userCode=` +`,Vee=cn({opSnippet:Wee,packedOpSnippet:Bee,dtype:"int32"}),Uee={kernelName:$i,backendName:"webgl",kernelFunc:Vee},Gee=class{constructor(e){this.variableNames=["A"];let t=_n(),[n,a]=e;this.outputShape=e,this.userCode=` void main() { ivec3 coords = getOutputCoords(); int texR = coords[0]; @@ -3466,7 +3460,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam setOutput(floor(value * 255.0 + 0.5)); } - `}},Aee=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let t=Nn(),[n,a]=e;this.outputShape=e,this.userCode=` + `}},Hee=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let t=_n(),[n,a]=e;this.outputShape=e,this.userCode=` void main() { ivec3 coords = getOutputCoords(); int texR = coords[0]; @@ -3500,7 +3494,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam ${t.output} = result; } - `}},$ee={kernelName:Fh,backendName:"webgl",kernelFunc:Fee},rl,Iy=H().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");function Fee(e){let{inputs:t,backend:n,attrs:a}=e,{pixels:r}=t,{numChannels:s}=a,i=typeof HTMLVideoElement!="undefined"&&r instanceof HTMLVideoElement,o=typeof HTMLImageElement!="undefined"&&r instanceof HTMLImageElement,[l,u]=i?[r.videoWidth,r.videoHeight]:[r.width,r.height],p=[u,l],d=[u,l,s];if(o||i){let f=H().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");(rl==null||f!==Iy)&&(Iy=f,rl=document.createElement("canvas").getContext("2d",{willReadFrequently:Iy})),rl.canvas.width=l,rl.canvas.height=u,rl.drawImage(r,0,0,l,u),r=rl.canvas}let c=n.makeTensorInfo(p,"int32");n.texData.get(c.dataId).usage=ca.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(c.dataId),r);let h=H().getBool("WEBGL_PACK")?new Aee(d):new Eee(d),m=n.runWebGLProgram(h,[c],"int32");return n.disposeData(c.dataId),m}function Dee(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dataFormat:p,dilations:d,dimRoundingMode:c,activation:h,leakyreluAlpha:m}=a,f=N.convertConv2DDataFormat(p),g=N.computeConv2DInfo(r.shape,s.shape,l,d,u,c,!1,f),b,y=[],x=i!=null,w=o!=null,I=h==="leakyrelu",T=()=>{let E=[r,s],A=(R,F)=>{if(F==="NCHW"&&R.shape.length===1&&R.shape[0]!==1){let S=de({inputs:{x:R},backend:n,attrs:{shape:[R.shape[0],1,1]}});return y.push(S),S}return R};if(x&&E.push(A(i,p)),w&&E.push(A(o,p)),I){let R=n.makeTensorInfo([],"float32",v.createScalarValue(m,"float32"));E.push(R),y.push(R)}return E};if(g.filterHeight===1&&g.filterWidth===1&&g.dilationHeight===1&&g.dilationWidth===1&&g.strideHeight===1&&g.strideWidth===1&&(g.padInfo.type==="SAME"||g.padInfo.type==="VALID"))b=mE({x:r,filter:s,convInfo:g,backend:n,bias:i,activation:h,preluActivationWeights:o,leakyreluAlpha:m});else if(g.strideWidth<=2&&f==="channelsLast"&&H().getBool("WEBGL_EXP_CONV")){let E=h?rc(h,!0):null,A=new hE(g,x,E,w,I),R=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],F=T();b=n.runWebGLProgram(A,F,"float32",R)}else if(H().getBool("WEBGL_CONV_IM2COL"))b=fE({x:r,filter:s,convInfo:g,backend:n,bias:i,activation:h,preluActivationWeights:o,leakyreluAlpha:m});else{let E=h?rc(h,!1):null,A=new dE(g,x,E,w,I),R=T();b=n.runWebGLProgram(A,R,"float32")}let C=de({inputs:{x:b},backend:n,attrs:{shape:g.outShape}});return y.push(b),y.forEach(E=>n.disposeIntermediateTensorInfo(E)),C}var Ree={kernelName:ei,backendName:"webgl",kernelFunc:Dee};function Mee(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dilations:p,dimRoundingMode:d,activation:c,leakyreluAlpha:h}=a,m=[],f=p;f==null&&(f=[1,1]),v.assert(N.eitherStridesOrDilationsAreOne(l,f),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${l} and dilations '${f}'`);let g=N.computeConv2DInfo(r.shape,s.shape,l,f,u,d,!0),b=H().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels===1,y=c?rc(c,b):null,x=[r,s],w=i!=null,I=o!=null,T=c==="leakyrelu";if(w&&x.push(i),I&&x.push(o),T){let R=n.makeTensorInfo([],"float32",v.createScalarValue(h,"float32"));x.push(R),m.push(R)}let C;b?C=new yE(g,w,y,I,T):C=new bE(g,w,y,I,T);let E=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],A=n.runWebGLProgram(C,x,"float32",E);return m.forEach(R=>n.disposeIntermediateTensorInfo(R)),A}var Pee={kernelName:ti,backendName:"webgl",kernelFunc:Mee},Oee=class{constructor(e,t,n,a){this.sliceDim=e,this.strides=t,this.paramsShape=a,this.variableNames=["x","indices"],this.outputShape=n;let r=gt(n.length),s=` + `}},jee={kernelName:Fh,backendName:"webgl",kernelFunc:qee},sl,Ty=H().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");function qee(e){let{inputs:t,backend:n,attrs:a}=e,{pixels:r}=t,{numChannels:s}=a,i=typeof HTMLVideoElement!="undefined"&&r instanceof HTMLVideoElement,o=typeof HTMLImageElement!="undefined"&&r instanceof HTMLImageElement,[l,u]=i?[r.videoWidth,r.videoHeight]:[r.width,r.height],p=[u,l],d=[u,l,s];if(o||i){let f=H().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");(sl==null||f!==Ty)&&(Ty=f,sl=document.createElement("canvas").getContext("2d",{willReadFrequently:Ty})),sl.canvas.width=l,sl.canvas.height=u,sl.drawImage(r,0,0,l,u),r=sl.canvas}let c=n.makeTensorInfo(p,"int32");n.texData.get(c.dataId).usage=ca.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(c.dataId),r);let h=H().getBool("WEBGL_PACK")?new Hee(d):new Gee(d),m=n.runWebGLProgram(h,[c],"int32");return n.disposeData(c.dataId),m}function Kee(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dataFormat:p,dilations:d,dimRoundingMode:c,activation:h,leakyreluAlpha:m}=a,f=N.convertConv2DDataFormat(p),g=N.computeConv2DInfo(r.shape,s.shape,l,d,u,c,!1,f),b,y=[],x=i!=null,w=o!=null,I=h==="leakyrelu",T=()=>{let E=[r,s],A=(R,F)=>{if(F==="NCHW"&&R.shape.length===1&&R.shape[0]!==1){let S=de({inputs:{x:R},backend:n,attrs:{shape:[R.shape[0],1,1]}});return y.push(S),S}return R};if(x&&E.push(A(i,p)),w&&E.push(A(o,p)),I){let R=n.makeTensorInfo([],"float32",v.createScalarValue(m,"float32"));E.push(R),y.push(R)}return E};if(g.filterHeight===1&&g.filterWidth===1&&g.dilationHeight===1&&g.dilationWidth===1&&g.strideHeight===1&&g.strideWidth===1&&(g.padInfo.type==="SAME"||g.padInfo.type==="VALID"))b=kE({x:r,filter:s,convInfo:g,backend:n,bias:i,activation:h,preluActivationWeights:o,leakyreluAlpha:m});else if(g.strideWidth<=2&&f==="channelsLast"&&H().getBool("WEBGL_EXP_CONV")){let E=h?ic(h,!0):null,A=new wE(g,x,E,w,I),R=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],F=T();b=n.runWebGLProgram(A,F,"float32",R)}else if(H().getBool("WEBGL_CONV_IM2COL"))b=IE({x:r,filter:s,convInfo:g,backend:n,bias:i,activation:h,preluActivationWeights:o,leakyreluAlpha:m});else{let E=h?ic(h,!1):null,A=new vE(g,x,E,w,I),R=T();b=n.runWebGLProgram(A,R,"float32")}let C=de({inputs:{x:b},backend:n,attrs:{shape:g.outShape}});return y.push(b),y.forEach(E=>n.disposeIntermediateTensorInfo(E)),C}var Xee={kernelName:ei,backendName:"webgl",kernelFunc:Kee};function Yee(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dilations:p,dimRoundingMode:d,activation:c,leakyreluAlpha:h}=a,m=[],f=p;f==null&&(f=[1,1]),v.assert(N.eitherStridesOrDilationsAreOne(l,f),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${l} and dilations '${f}'`);let g=N.computeConv2DInfo(r.shape,s.shape,l,f,u,d,!0),b=H().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels===1,y=c?ic(c,b):null,x=[r,s],w=i!=null,I=o!=null,T=c==="leakyrelu";if(w&&x.push(i),I&&x.push(o),T){let R=n.makeTensorInfo([],"float32",v.createScalarValue(h,"float32"));x.push(R),m.push(R)}let C;b?C=new NE(g,w,y,I,T):C=new TE(g,w,y,I,T);let E=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],A=n.runWebGLProgram(C,x,"float32",E);return m.forEach(R=>n.disposeIntermediateTensorInfo(R)),A}var Zee={kernelName:ti,backendName:"webgl",kernelFunc:Yee},Jee=class{constructor(e,t,n,a){this.sliceDim=e,this.strides=t,this.paramsShape=a,this.variableNames=["x","indices"],this.outputShape=n;let r=gt(n.length),s=` int index;`;for(let i=0;i= 0) && (index < ${e[2]}) ? 1.0 : 0.0; setOutput(inBounds * getA(${a})); } - `}};function Wee(e,t){let n=["resRC.x","resRC.y","resRC.z","resRC.w"],a=[];for(let r=0;r=0,()=>`GatherV2: the index value ${I} is not in [0, ${x-1}]`)}}let u=N.segment_util.collectGatherOpShapeInfo(r,s,l,o),p=v.sizeFromShape(s.shape),d=[],c=de({inputs:{x:r},backend:n,attrs:{shape:[u.batchSize,u.outerSize,u.dimSize,u.sliceSize]}}),h=de({inputs:{x:s},backend:n,attrs:{shape:[u.batchSize,p/u.batchSize]}});d.push(c),d.push(h);let m=[u.batchSize,u.outerSize,p/u.batchSize,u.sliceSize];if(n.shouldExecuteOnCPU([r,s])||r.dtype==="string"){let y=n.bufferSync(h),x=n.bufferSync(c),w=X7(x,y,m);return d.forEach(I=>n.disposeIntermediateTensorInfo(I)),n.makeTensorInfo(u.outputShape,w.dtype,w.values)}let f=new Bee(c.shape,m),g=n.runWebGLProgram(f,[c,h],c.dtype);d.push(g);let b=de({inputs:{x:g},backend:n,attrs:{shape:u.outputShape}});return d.forEach(y=>n.disposeIntermediateTensorInfo(y)),b}var Vee={kernelName:Zl,backendName:"webgl",kernelFunc:wE},Uee="return float(a > b);",Gee=` + `}};function nte(e,t){let n=["resRC.x","resRC.y","resRC.z","resRC.w"],a=[];for(let r=0;r=0,()=>`GatherV2: the index value ${I} is not in [0, ${x-1}]`)}}let u=N.segment_util.collectGatherOpShapeInfo(r,s,l,o),p=v.sizeFromShape(s.shape),d=[],c=de({inputs:{x:r},backend:n,attrs:{shape:[u.batchSize,u.outerSize,u.dimSize,u.sliceSize]}}),h=de({inputs:{x:s},backend:n,attrs:{shape:[u.batchSize,p/u.batchSize]}});d.push(c),d.push(h);let m=[u.batchSize,u.outerSize,p/u.batchSize,u.sliceSize];if(n.shouldExecuteOnCPU([r,s])||r.dtype==="string"){let y=n.bufferSync(h),x=n.bufferSync(c),w=u7(x,y,m);return d.forEach(I=>n.disposeIntermediateTensorInfo(I)),n.makeTensorInfo(u.outputShape,w.dtype,w.values)}let f=new tte(c.shape,m),g=n.runWebGLProgram(f,[c,h],c.dtype);d.push(g);let b=de({inputs:{x:g},backend:n,attrs:{shape:u.outputShape}});return d.forEach(y=>n.disposeIntermediateTensorInfo(y)),b}var ate={kernelName:Ql,backendName:"webgl",kernelFunc:EE},rte="return float(a > b);",ste=` return vec4(greaterThan(a, b)); -`,Hee=pn({opSnippet:Uee,packedOpSnippet:Gee,cpuKernelImpl:Y7,dtype:"bool"}),jee={kernelName:Ql,backendName:"webgl",kernelFunc:Hee},qee="return float(a >= b);",Kee=` +`,ite=cn({opSnippet:rte,packedOpSnippet:ste,cpuKernelImpl:p7,dtype:"bool"}),ote={kernelName:tu,backendName:"webgl",kernelFunc:ite},lte="return float(a >= b);",ute=` return vec4(greaterThanEqual(a, b)); -`,Xee=pn({opSnippet:qee,packedOpSnippet:Kee,dtype:"bool",cpuKernelImpl:Z7}),Yee={kernelName:Di,backendName:"webgl",kernelFunc:Xee};function Zee(e){let{inputs:t,backend:n}=e,{input:a}=t;return vE(a,!0,n)}var Jee={kernelName:Sm,backendName:"webgl",kernelFunc:Zee},Qee="return float(!isnan(x) && !isinf(x));",ete=Ye({opSnippet:Qee,dtype:"bool"}),tte={kernelName:eu,backendName:"webgl",kernelFunc:ete},nte="return float(isinf(x));",ate=Ye({opSnippet:nte,dtype:"bool"}),rte={kernelName:tu,backendName:"webgl",kernelFunc:ate},ste="return float(isnan(x));",ite=Ye({opSnippet:ste,dtype:"bool"}),ote={kernelName:nu,backendName:"webgl",kernelFunc:ite},lte="return float(a < b);",ute=` +`,pte=cn({opSnippet:lte,packedOpSnippet:ute,dtype:"bool",cpuKernelImpl:c7}),cte={kernelName:Di,backendName:"webgl",kernelFunc:pte};function dte(e){let{inputs:t,backend:n}=e,{input:a}=t;return _E(a,!0,n)}var hte={kernelName:Tm,backendName:"webgl",kernelFunc:dte},mte="return float(!isnan(x) && !isinf(x));",fte=Ye({opSnippet:mte,dtype:"bool"}),gte={kernelName:nu,backendName:"webgl",kernelFunc:fte},bte="return float(isinf(x));",yte=Ye({opSnippet:bte,dtype:"bool"}),xte={kernelName:au,backendName:"webgl",kernelFunc:yte},vte="return float(isnan(x));",wte=Ye({opSnippet:vte,dtype:"bool"}),kte={kernelName:ru,backendName:"webgl",kernelFunc:wte},Ite="return float(a < b);",Ste=` return vec4(lessThan(a, b)); -`,pte=pn({opSnippet:lte,packedOpSnippet:ute,cpuKernelImpl:J7,dtype:"bool"}),cte={kernelName:au,backendName:"webgl",kernelFunc:pte},dte="return float(a <= b);",hte=` +`,Tte=cn({opSnippet:Ite,packedOpSnippet:Ste,cpuKernelImpl:d7,dtype:"bool"}),Nte={kernelName:su,backendName:"webgl",kernelFunc:Tte},Cte="return float(a <= b);",_te=` return vec4(lessThanEqual(a, b)); -`,mte=pn({opSnippet:dte,packedOpSnippet:hte,cpuKernelImpl:Q7,dtype:"bool"}),fte={kernelName:ru,backendName:"webgl",kernelFunc:mte};function gte(e){let{backend:t,attrs:n}=e,{start:a,stop:r,num:s}=n,i=eZ(a,r,s);return t.makeTensorInfo([i.length],"float32",i)}var bte={kernelName:Nm,backendName:"webgl",kernelFunc:gte},yte=Qu+` +`,Ete=cn({opSnippet:Cte,packedOpSnippet:_te,cpuKernelImpl:h7,dtype:"bool"}),Ate={kernelName:iu,backendName:"webgl",kernelFunc:Ete};function $te(e){let{backend:t,attrs:n}=e,{start:a,stop:r,num:s}=n,i=m7(a,r,s);return t.makeTensorInfo([i.length],"float32",i)}var Fte={kernelName:Cm,backendName:"webgl",kernelFunc:$te},Dte=tp+` return x < 0.0 ? 0./0. : log(x); -`,xte=` +`,Rte=` vec4 result = log(x); bvec4 isNaN = isnan(x); result.r = isNaN.r ? x.r : (x.r < 0.0 ? 0./0. : result.r); @@ -3540,18 +3534,18 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam result.b = isNaN.b ? x.b : (x.b < 0.0 ? 0./0. : result.b); result.a = isNaN.a ? x.a : (x.a < 0.0 ? 0./0. : result.a); return result; -`,vte=Ye({opSnippet:yte,packedOpSnippet:xte,cpuKernelImpl:tZ}),wte={kernelName:Pi,backendName:"webgl",kernelFunc:vte},kte=Qu+` +`,Mte=Ye({opSnippet:Dte,packedOpSnippet:Rte,cpuKernelImpl:f7}),Pte={kernelName:Pi,backendName:"webgl",kernelFunc:Mte},Ote=tp+` return log(1.0 + x); -`,Ite=Ye({opSnippet:kte}),Ste={kernelName:su,backendName:"webgl",kernelFunc:Ite},Tte="return float(a >= 1.0 && b >= 1.0);",Nte=` +`,Lte=Ye({opSnippet:Ote}),zte={kernelName:ou,backendName:"webgl",kernelFunc:Lte},Wte="return float(a >= 1.0 && b >= 1.0);",Bte=` return vec4( vec4(greaterThanEqual(a, vec4(1.0))) * vec4(greaterThanEqual(b, vec4(1.0)))); -`,Cte=pn({opSnippet:Tte,packedOpSnippet:Nte,dtype:"bool"}),_te={kernelName:iu,backendName:"webgl",kernelFunc:Cte},Ete="return float(!(x >= 1.0));",Ate=Ye({opSnippet:Ete}),$te={kernelName:ou,backendName:"webgl",kernelFunc:Ate},Fte="return float(a >= 1.0 || b >= 1.0);",Dte=` +`,Vte=cn({opSnippet:Wte,packedOpSnippet:Bte,dtype:"bool"}),Ute={kernelName:lu,backendName:"webgl",kernelFunc:Vte},Gte="return float(!(x >= 1.0));",Hte=Ye({opSnippet:Gte}),jte={kernelName:uu,backendName:"webgl",kernelFunc:Hte},qte="return float(a >= 1.0 || b >= 1.0);",Kte=` return min( vec4(greaterThanEqual(a, vec4(1.0))) + vec4(greaterThanEqual(b, vec4(1.0))), vec4(1.0)); -`,Rte=pn({opSnippet:Fte,packedOpSnippet:Dte,dtype:"bool"}),Mte={kernelName:lu,backendName:"webgl",kernelFunc:Rte},Pte=class{constructor(e,t,n,a,r){this.variableNames=["x"],this.outputShape=[];let s=t,i=e[3]-1;this.outputShape=e;let o,l=`float(${n}) + float(${a}) * sum`;r===.5?o=`inversesqrt(${l})`:r===1?o=`1.0/(${l})`:o=`exp(log(${l}) * float(-${r}));`,this.userCode=` +`,Xte=cn({opSnippet:qte,packedOpSnippet:Kte,dtype:"bool"}),Yte={kernelName:pu,backendName:"webgl",kernelFunc:Xte},Zte=class{constructor(e,t,n,a,r){this.variableNames=["x"],this.outputShape=[];let s=t,i=e[3]-1;this.outputShape=e;let o,l=`float(${n}) + float(${a}) * sum`;r===.5?o=`inversesqrt(${l})`:r===1?o=`1.0/(${l})`:o=`exp(log(${l}) * float(-${r}));`,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; @@ -3570,7 +3564,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam float val = x * ${o}; setOutput(val); } - `}},Ote=class{constructor(e,t,n,a,r){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let s=t,i=e[3]-1;this.outputShape=e;let o,l=`float(${n}) + float(${a}) * sum`;r===.5?o=`inversesqrt(${l})`:r===1?o=`1.0/(${l})`:o=`exp(log(${l}) * float(-${r}));`,this.userCode=` + `}},Jte=class{constructor(e,t,n,a,r){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let s=t,i=e[3]-1;this.outputShape=e;let o,l=`float(${n}) + float(${a}) * sum`;r===.5?o=`inversesqrt(${l})`:r===1?o=`1.0/(${l})`:o=`exp(log(${l}) * float(-${r}));`,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords.x; @@ -3632,7 +3626,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam vec4 result = xAtOutputCoords * ${o}; setOutput(result); } - `}},Lte=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{depthRadius:s,bias:i,alpha:o,beta:l}=a,u=H().getBool("WEBGL_PACK_NORMALIZATION")?new Ote(r.shape,s,i,o,l):new Pte(r.shape,s,i,o,l);return n.runWebGLProgram(u,[r],r.dtype)},zte={kernelName:fc,backendName:"webgl",kernelFunc:Lte},Bte=class{constructor(e,t,n,a,r){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=a,this.beta=r,this.userCode=` + `}},Qte=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{depthRadius:s,bias:i,alpha:o,beta:l}=a,u=H().getBool("WEBGL_PACK_NORMALIZATION")?new Jte(r.shape,s,i,o,l):new Zte(r.shape,s,i,o,l);return n.runWebGLProgram(u,[r],r.dtype)},ene={kernelName:bc,backendName:"webgl",kernelFunc:Qte},tne=class{constructor(e,t,n,a,r){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=a,this.beta=r,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; @@ -3687,16 +3681,16 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam } setOutput(result); } - `}},Wte=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r,y:s,dy:i}=t,{depthRadius:o,bias:l,alpha:u,beta:p}=a,d=new Bte(r.shape,o,l,u,p);return n.runWebGLProgram(d,[r,s,i],r.dtype)},Vte={kernelName:Cm,backendName:"webgl",kernelFunc:Wte};function Ute(e,t,n,a){let r=v.sizeFromShape(t),s=v.sizeFromShape(e.shape)/r,i=de({inputs:{x:e},attrs:{shape:[s,r]},backend:a}),o=ko(i,e.dtype,"max",a),l=de({inputs:{x:o},attrs:{shape:n},backend:a});return a.disposeIntermediateTensorInfo(i),a.disposeIntermediateTensorInfo(o),l}function kE(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{reductionIndices:s,keepDims:i}=a,o=r.shape.length,l=v.parseAxisParam(s,r.shape),u=l,p=N.getAxesPermutation(u,o),d=p!=null,c=n.shouldExecuteOnCPU([r]),h=r;if(d){if(c){let y=n.texData.get(h.dataId).values,x=new Array(o);for(let T=0;T{let{inputs:t,backend:n,attrs:a}=e,{x:r,y:s,dy:i}=t,{depthRadius:o,bias:l,alpha:u,beta:p}=a,d=new tne(r.shape,o,l,u,p);return n.runWebGLProgram(d,[r,s,i],r.dtype)},ane={kernelName:_m,backendName:"webgl",kernelFunc:nne};function rne(e,t,n,a){let r=v.sizeFromShape(t),s=v.sizeFromShape(e.shape)/r,i=de({inputs:{x:e},attrs:{shape:[s,r]},backend:a}),o=Io(i,e.dtype,"max",a),l=de({inputs:{x:o},attrs:{shape:n},backend:a});return a.disposeIntermediateTensorInfo(i),a.disposeIntermediateTensorInfo(o),l}function AE(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{reductionIndices:s,keepDims:i}=a,o=r.shape.length,l=v.parseAxisParam(s,r.shape),u=l,p=N.getAxesPermutation(u,o),d=p!=null,c=n.shouldExecuteOnCPU([r]),h=r;if(d){if(c){let y=n.texData.get(h.dataId).values,x=new Array(o);for(let T=0;T`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${u}'`);let p=N.computePool2DInfo(r.shape,s,i,u,o,l);if(p.filterWidth===1&&p.filterHeight===1&&v.arraysEqual(p.inShape,p.outShape))return na({inputs:{x:r},backend:n});let d=new sc(p,"max",!1);return n.runWebGLProgram(d,[r],r.dtype)}var Yte={kernelName:zi,backendName:"webgl",kernelFunc:Xte};function Zte(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dataFormat:l,dimRoundingMode:u}=a,p=[1,1,1],d=N.computePool3DInfo(r.shape,s,i,p,o,u,l),c=new r1(d,"max",!1);return n.runWebGLProgram(c,[r],r.dtype)}var Jte={kernelName:gc,backendName:"webgl",kernelFunc:Zte},Qte=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideHeight,n=e.strideWidth,a=e.dilationHeight,r=e.effectiveFilterHeight,s=e.effectiveFilterWidth,i=r-1-e.padInfo.top,o=s-1-e.padInfo.left,l=r*s-1;this.userCode=` +`,lne=cn({opSnippet:ine,packedOpSnippet:one,cpuKernelImpl:b7}),une={kernelName:Li,backendName:"webgl",kernelFunc:lne};function pne(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t;Yu(r,"maxPool");let{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=a,u=1;v.assert(N.eitherStridesOrDilationsAreOne(i,u),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${u}'`);let p=N.computePool2DInfo(r.shape,s,i,u,o,l);if(p.filterWidth===1&&p.filterHeight===1&&v.arraysEqual(p.inShape,p.outShape))return aa({inputs:{x:r},backend:n});let d=new oc(p,"max",!1);return n.runWebGLProgram(d,[r],r.dtype)}var cne={kernelName:zi,backendName:"webgl",kernelFunc:pne};function dne(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dataFormat:l,dimRoundingMode:u}=a,p=[1,1,1],d=N.computePool3DInfo(r.shape,s,i,p,o,u,l),c=new l1(d,"max",!1);return n.runWebGLProgram(c,[r],r.dtype)}var hne={kernelName:yc,backendName:"webgl",kernelFunc:dne},mne=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideHeight,n=e.strideWidth,a=e.dilationHeight,r=e.effectiveFilterHeight,s=e.effectiveFilterWidth,i=r-1-e.padInfo.top,o=s-1-e.padInfo.left,l=r*s-1;this.userCode=` const ivec2 pads = ivec2(${i}, ${o}); void main() { @@ -3742,7 +3736,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam } setOutput(dotProd); } - `}},ene=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideDepth,n=e.strideHeight,a=e.strideWidth,r=e.dilationDepth,s=e.dilationHeight,i=e.dilationWidth,o=e.effectiveFilterDepth,l=e.effectiveFilterHeight,u=e.effectiveFilterWidth,p=o-1-e.padInfo.front,d=l-1-e.padInfo.top,c=u-1-e.padInfo.left,h=o*l*u-1;this.userCode=` + `}},fne=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideDepth,n=e.strideHeight,a=e.strideWidth,r=e.dilationDepth,s=e.dilationHeight,i=e.dilationWidth,o=e.effectiveFilterDepth,l=e.effectiveFilterHeight,u=e.effectiveFilterWidth,p=o-1-e.padInfo.front,d=l-1-e.padInfo.top,c=u-1-e.padInfo.left,h=o*l*u-1;this.userCode=` const ivec3 pads = ivec3(${p}, ${d}, ${c}); void main() { @@ -3806,16 +3800,16 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam } setOutput(dotProd); } - `}};function tne(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,i=s,{filterSize:o,strides:l,pad:u,dimRoundingMode:p}=a,d=[1,1,1],c=N.computePool3DInfo(i.shape,o,l,d,u,p),h=new r1(c,"max",!0),m=n.runWebGLProgram(h,[i],i.dtype),f=new ene(c),g=n.runWebGLProgram(f,[r,m],i.dtype);return n.disposeIntermediateTensorInfo(m),g}var nne={kernelName:Em,backendName:"webgl",kernelFunc:tne};function ane(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s,output:i}=t,o=s;Ku([s,i],"maxPoolGrad");let{filterSize:l,strides:u,pad:p,dimRoundingMode:d}=a,c=N.computePool2DInfo(o.shape,l,u,1,p,d),h=!0,m=new sc(c,"max",h),f=n.runWebGLProgram(m,[o],o.dtype),g=new Qte(c),b=n.runWebGLProgram(g,[r,f],o.dtype);return n.disposeIntermediateTensorInfo(f),b}var rne={kernelName:_m,backendName:"webgl",kernelFunc:ane};function sne(e,t,n,a){let r=new sc(n,"max",!1),s=a.runWebGLProgram(r,[e],"float32");r=new sc(n,"max",!0,!0,t);let i=a.runWebGLProgram(r,[e],"float32");return[s,i]}var ine={kernelName:Am,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:a}=e,{filterSize:r,strides:s,pad:i,includeBatchInIndex:o}=t,l=n;v.assert(a.shape.length===4,()=>`Error in maxPool: input must be rank 4 but got rank ${a.shape.length}.`);let u=[1,1];v.assert(N.eitherStridesOrDilationsAreOne(s,u),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${u}'`);let p=N.computePool2DInfo(a.shape,r,s,u,i),[d,c]=sne(a,o,p,l);return[d,c]}};function one(e,t,n,a){let r=v.sizeFromShape(t),s=v.sizeFromShape(e.shape)/r,i=de({inputs:{x:e},attrs:{shape:[s,r]},backend:a}),o=ko(i,"float32","mean",a),l=de({inputs:{x:o},attrs:{shape:n},backend:a});return a.disposeIntermediateTensorInfo(i),a.disposeIntermediateTensorInfo(o),l}var lne={kernelName:Bi,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:a}=e,{keepDims:r,axis:s}=t,i=n,o=a.shape.length,l=v.parseAxisParam(s,a.shape),u=l,p=N.getAxesPermutation(u,o),d=p!=null,c=i.shouldExecuteOnCPU([a]),h=[],m=a;if(d){if(c){let x=i.texData.get(m.dataId).values,w=new Array(o);for(let C=0;C{let{x:a}=e,{filterSize:r,strides:s,pad:i,includeBatchInIndex:o}=t,l=n;v.assert(a.shape.length===4,()=>`Error in maxPool: input must be rank 4 but got rank ${a.shape.length}.`);let u=[1,1];v.assert(N.eitherStridesOrDilationsAreOne(s,u),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${u}'`);let p=N.computePool2DInfo(a.shape,r,s,u,i),[d,c]=vne(a,o,p,l);return[d,c]}};function kne(e,t,n,a){let r=v.sizeFromShape(t),s=v.sizeFromShape(e.shape)/r,i=de({inputs:{x:e},attrs:{shape:[s,r]},backend:a}),o=Io(i,"float32","mean",a),l=de({inputs:{x:o},attrs:{shape:n},backend:a});return a.disposeIntermediateTensorInfo(i),a.disposeIntermediateTensorInfo(o),l}var Ine={kernelName:Wi,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:a}=e,{keepDims:r,axis:s}=t,i=n,o=a.shape.length,l=v.parseAxisParam(s,a.shape),u=l,p=N.getAxesPermutation(u,o),d=p!=null,c=i.shouldExecuteOnCPU([a]),h=[],m=a;if(d){if(c){let x=i.texData.get(m.dataId).values,w=new Array(o);for(let C=0;Cu[0]+e[p]+u[1]);let a=e.length,r=gt(a),s=t.map(u=>u[0]).join(","),i=t.map((u,p)=>u[0]+e[p]).join(","),o=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,a),l=n==="reflect"?0:1;if(a===1){this.userCode=` +`,_ne=cn({opSnippet:Nne,packedOpSnippet:Cne,cpuKernelImpl:y7}),Ene={kernelName:Vi,backendName:"webgl",kernelFunc:_ne},Ane=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=t.map((u,p)=>u[0]+e[p]+u[1]);let a=e.length,r=gt(a),s=t.map(u=>u[0]).join(","),i=t.map((u,p)=>u[0]+e[p]).join(","),o=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,a),l=n==="reflect"?0:1;if(a===1){this.userCode=` int start = ${s}; int end = ${i}; @@ -3844,7 +3838,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam ${r} coords = outC - start; setOutput(getX(${o})); } - `}},gne=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((h,m)=>h[0]+e[m]+h[1]);let a=e.length,r=gt(a),s=t.map(h=>h[0]).join(","),i=t.map((h,m)=>h[0]+e[m]).join(","),o=kn("rc",a),l=kn("source",a),u=`${o[a-1]} < ${this.outputShape[a-1]}`,p=a===1?"source":`vec2(${l.slice(-2).join()})`,d=n==="reflect"?0:1,c="";if(a===1){let h=` + `}},$ne=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((h,m)=>h[0]+e[m]+h[1]);let a=e.length,r=gt(a),s=t.map(h=>h[0]).join(","),i=t.map((h,m)=>h[0]+e[m]).join(","),o=kn("rc",a),l=kn("source",a),u=`${o[a-1]} < ${this.outputShape[a-1]}`,p=a===1?"source":`vec2(${l.slice(-2).join()})`,d=n==="reflect"?0:1,c="";if(a===1){let h=` ${r} source = rc; if (source < start) { source = start * 2 - source - ${d}; @@ -3900,13 +3894,13 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam ${c} setOutput(result); } - `}},bne=({inputs:e,backend:t,attrs:n})=>{let{x:a}=e,{paddings:r,mode:s}=n,i=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new gne(a.shape,r,s):new fne(a.shape,r,s);return t.runWebGLProgram(i,[a],a.dtype)},yne={kernelName:Ui,backendName:"webgl",kernelFunc:bne},xne=`if (b == 0.0) return NAN; - return mod(a, b);`,vne=` + `}},Fne=({inputs:e,backend:t,attrs:n})=>{let{x:a}=e,{paddings:r,mode:s}=n,i=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new $ne(a.shape,r,s):new Ane(a.shape,r,s);return t.runWebGLProgram(i,[a],a.dtype)},Dne={kernelName:Ui,backendName:"webgl",kernelFunc:Fne},Rne=`if (b == 0.0) return NAN; + return mod(a, b);`,Mne=` vec4 result = mod(a, b); bvec4 isNaN = equal(b, vec4(0.0)); - `+od+` + `+ld+` return result; -`,wne=pn({opSnippet:xne,packedOpSnippet:vne}),kne={kernelName:uu,backendName:"webgl",kernelFunc:wne},Ine=class{constructor(e,t,n){this.variableNames=["probs"],this.customUniforms=[{name:"seed",type:"float"}],this.outputShape=[e,n],this.userCode=` +`,Pne=cn({opSnippet:Rne,packedOpSnippet:Mne}),One={kernelName:cu,backendName:"webgl",kernelFunc:Pne},Lne=class{constructor(e,t,n){this.variableNames=["probs"],this.customUniforms=[{name:"seed",type:"float"}],this.outputShape=[e,n],this.userCode=` void main() { ivec2 coords = getOutputCoords(); int batch = coords[0]; @@ -3926,11 +3920,11 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,a9=Ye({opSnippet:n9}),r9={kernelNam // If no other event happened, last event happened. setOutput(float(${t-1})); } - `}},Sne=` + `}},zne=` if (a == b) { return 1.0; }; -return a / b;`,Tne=` +return a / b;`,Wne=` // vec4 one = vec4(equal(a, b)); // return one + (vec4(1.0) - one) * a / b; vec4 result = a / b; @@ -3948,9 +3942,9 @@ return a / b;`,Tne=` } return result; -`,IE=pn({opSnippet:Sne,packedOpSnippet:Tne,checkOutOfBounds:!0}),Nne={kernelName:Ci,backendName:"webgl",kernelFunc:IE},TI="return a - b;",SE=pn({opSnippet:TI,packedOpSnippet:TI,supportsComplex:!0,cpuKernelImpl:IZ}),Cne={kernelName:uo,backendName:"webgl",kernelFunc:SE};function TE(e){let{inputs:t,backend:n,attrs:a}=e,{logits:r}=t,{dim:s}=a,i=v.parseAxisParam([s],r.shape),o=kE({inputs:{x:r},backend:n,attrs:{reductionIndices:i,keepDims:!1}}),l=N.expandShapeToKeepDim(o.shape,i),u=de({inputs:{x:o},backend:n,attrs:{shape:l}}),p=SE({inputs:{a:r,b:u},backend:n}),d=xE({inputs:{x:p},backend:n}),c=Xf({inputs:{x:d},backend:n,attrs:{axis:i,keepDims:!1}}),h=de({inputs:{x:c},backend:n,attrs:{shape:l}}),m=IE({inputs:{a:d,b:h},backend:n});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(h),m}var _ne={kernelName:oo,backendName:"webgl",kernelFunc:TE};function Ene(e){let{inputs:t,backend:n,attrs:a}=e,{logits:r}=t,{numSamples:s,seed:i,normalized:o}=a,l=o?r:TE({inputs:{logits:r},backend:n,attrs:{dim:r.shape.length-1}}),u=l.shape[0],p=l.shape[1],d=new Ine(u,p,s),c=[[i]],h=n.runWebGLProgram(d,[l],"int32",c);return o||n.disposeIntermediateTensorInfo(l),h}var Ane={kernelName:$m,backendName:"webgl",kernelFunc:Ene},$ne=Ra+` +`,$E=cn({opSnippet:zne,packedOpSnippet:Wne,checkOutOfBounds:!0}),Bne={kernelName:Ci,backendName:"webgl",kernelFunc:$E},FI="return a - b;",FE=cn({opSnippet:FI,packedOpSnippet:FI,supportsComplex:!0,cpuKernelImpl:L7}),Vne={kernelName:uo,backendName:"webgl",kernelFunc:FE};function DE(e){let{inputs:t,backend:n,attrs:a}=e,{logits:r}=t,{dim:s}=a,i=v.parseAxisParam([s],r.shape),o=AE({inputs:{x:r},backend:n,attrs:{reductionIndices:i,keepDims:!1}}),l=N.expandShapeToKeepDim(o.shape,i),u=de({inputs:{x:o},backend:n,attrs:{shape:l}}),p=FE({inputs:{a:r,b:u},backend:n}),d=CE({inputs:{x:p},backend:n}),c=Zf({inputs:{x:d},backend:n,attrs:{axis:i,keepDims:!1}}),h=de({inputs:{x:c},backend:n,attrs:{shape:l}}),m=$E({inputs:{a:d,b:h},backend:n});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(h),m}var Une={kernelName:oo,backendName:"webgl",kernelFunc:DE};function Gne(e){let{inputs:t,backend:n,attrs:a}=e,{logits:r}=t,{numSamples:s,seed:i,normalized:o}=a,l=o?r:DE({inputs:{logits:r},backend:n,attrs:{dim:r.shape.length-1}}),u=l.shape[0],p=l.shape[1],d=new Lne(u,p,s),c=[[i]],h=n.runWebGLProgram(d,[l],"int32",c);return o||n.disposeIntermediateTensorInfo(l),h}var Hne={kernelName:Fm,backendName:"webgl",kernelFunc:Gne},jne=Ma+` return -x; -`,Fne=` +`,qne=` vec4 result = -x; bvec4 isNaN = isnan(x); @@ -3960,14 +3954,14 @@ return a / b;`,Tne=` result.a = isNaN.a ? x.a : result.a; return result; -`;function Dne(e){let{inputs:t,backend:n}=e,{x:a}=t;if(n.shouldExecuteOnCPU([a])){let s=n.texData.get(a.dataId),[i,o]=iZ(s.values,a.shape,a.dtype);return n.makeTensorInfo(o,a.dtype,i)}let r;return H().getBool("WEBGL_PACK_UNARY_OPERATIONS")?r=new qs(a.shape,Fne):r=new Cr(a.shape,$ne),n.runWebGLProgram(r,[a],a.dtype)}var Rne={kernelName:pu,backendName:"webgl",kernelFunc:Dne},Mne=dr.nonMaxSuppressionV3Impl;function Pne(e){N.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:a}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l}=a,u=n.readSync(r.dataId),p=n.readSync(s.dataId),{selectedIndices:d}=Mne(u,p,i,o,l);return n.makeTensorInfo([d.length],"int32",new Int32Array(d))}var One={kernelName:du,backendName:"webgl",kernelFunc:Pne},Lne=dr.nonMaxSuppressionV4Impl;function zne(e){N.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:a}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,padToMaxOutputSize:u}=a,p=n.readSync(r.dataId),d=n.readSync(s.dataId),{selectedIndices:c,validOutputs:h}=Lne(p,d,i,o,l,u);return[n.makeTensorInfo([c.length],"int32",new Int32Array(c)),n.makeTensorInfo([],"int32",new Int32Array([h]))]}var Bne={kernelName:hu,backendName:"webgl",kernelFunc:zne},Wne=dr.nonMaxSuppressionV5Impl;function Vne(e){N.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:a}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,softNmsSigma:u}=a,p=n.readSync(r.dataId),d=n.readSync(s.dataId),c=i,h=o,m=l,f=u,{selectedIndices:g,selectedScores:b}=Wne(p,d,c,h,m,f);return[n.makeTensorInfo([g.length],"int32",new Int32Array(g)),n.makeTensorInfo([b.length],"float32",new Float32Array(b))]}var Une={kernelName:mu,backendName:"webgl",kernelFunc:Vne},Gne=class{constructor(e,t,n,a){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode=` +`;function Kne(e){let{inputs:t,backend:n}=e,{x:a}=t;if(n.shouldExecuteOnCPU([a])){let s=n.texData.get(a.dataId),[i,o]=v7(s.values,a.shape,a.dtype);return n.makeTensorInfo(o,a.dtype,i)}let r;return H().getBool("WEBGL_PACK_UNARY_OPERATIONS")?r=new qs(a.shape,qne):r=new Cr(a.shape,jne),n.runWebGLProgram(r,[a],a.dtype)}var Xne={kernelName:du,backendName:"webgl",kernelFunc:Kne},Yne=hr.nonMaxSuppressionV3Impl;function Zne(e){N.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:a}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l}=a,u=n.readSync(r.dataId),p=n.readSync(s.dataId),{selectedIndices:d}=Yne(u,p,i,o,l);return n.makeTensorInfo([d.length],"int32",new Int32Array(d))}var Jne={kernelName:mu,backendName:"webgl",kernelFunc:Zne},Qne=hr.nonMaxSuppressionV4Impl;function eae(e){N.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:a}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,padToMaxOutputSize:u}=a,p=n.readSync(r.dataId),d=n.readSync(s.dataId),{selectedIndices:c,validOutputs:h}=Qne(p,d,i,o,l,u);return[n.makeTensorInfo([c.length],"int32",new Int32Array(c)),n.makeTensorInfo([],"int32",new Int32Array([h]))]}var tae={kernelName:fu,backendName:"webgl",kernelFunc:eae},nae=hr.nonMaxSuppressionV5Impl;function aae(e){N.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:a}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,softNmsSigma:u}=a,p=n.readSync(r.dataId),d=n.readSync(s.dataId),c=i,h=o,m=l,f=u,{selectedIndices:g,selectedScores:b}=nae(p,d,c,h,m,f);return[n.makeTensorInfo([g.length],"int32",new Int32Array(g)),n.makeTensorInfo([b.length],"float32",new Float32Array(b))]}var rae={kernelName:gu,backendName:"webgl",kernelFunc:aae},sae=class{constructor(e,t,n,a){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode=` void main() { ivec2 coords = getOutputCoords(); int index = round(getIndices(coords.x)); setOutput(mix(float(${a}), float(${n}), float(index == coords.y))); } - `}},Hne=e=>{let{inputs:t,backend:n,attrs:a}=e,{indices:r}=t,{dtype:s,depth:i,onValue:o,offValue:l}=a,u=v.sizeFromShape(r.shape),p=new Gne(u,i,o,l),d=de({inputs:{x:r},backend:n,attrs:{shape:[u]}}),c=n.runWebGLProgram(p,[d],s);n.disposeIntermediateTensorInfo(d);let h=[...r.shape,i],m=de({inputs:{x:c},backend:n,attrs:{shape:h}});return n.disposeIntermediateTensorInfo(c),m},jne={kernelName:Hi,backendName:"webgl",kernelFunc:Hne};function am(e){let{inputs:t,backend:n}=e,{x:a}=t;if(a.dtype==="complex64"){let r=ud({inputs:{input:a},backend:n}),s=am({inputs:{x:r},backend:n}),i=Yf({inputs:{input:a},backend:n}),o=am({inputs:{x:i},backend:n}),l=_s({inputs:{real:s,imag:o},backend:n});return n.disposeIntermediateTensorInfo(r),n.disposeIntermediateTensorInfo(s),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),l}else return pd({attrs:{shape:a.shape,dtype:a.dtype,value:a.dtype==="string"?"":0},backend:n})}var qne={kernelName:Du,backendName:"webgl",kernelFunc:am};function NE(e){let{inputs:t,backend:n}=e,{x:a}=t;if(a.dtype==="string")throw new Error("onesLike is not supported under string dtype");if(a.dtype==="complex64"){let r=ud({inputs:{input:a},backend:n}),s=NE({inputs:{x:r},backend:n}),i=Yf({inputs:{input:a},backend:n}),o=am({inputs:{x:i},backend:n}),l=_s({inputs:{real:s,imag:o},backend:n});return n.disposeIntermediateTensorInfo(r),n.disposeIntermediateTensorInfo(s),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),l}else return pd({attrs:{shape:a.shape,dtype:a.dtype,value:1},backend:n})}var Kne={kernelName:fu,backendName:"webgl",kernelFunc:NE};function Xne(e){let{inputs:t,backend:n,attrs:a}=e,{axis:r}=a;if(t.length===1)return yx({inputs:{input:t[0]},backend:n,attrs:{dim:r}});let s=t[0].shape,i=t[0].dtype;t.forEach(p=>{v.assertShapesMatch(s,p.shape,"All tensors passed to stack must have matching shapes"),v.assert(i===p.dtype,()=>"All tensors passed to stack must have matching dtypes")});let o=[],l=t.map(p=>{let d=yx({inputs:{input:p},backend:n,attrs:{dim:r}});return o.push(d),d}),u=cE({inputs:l,backend:n,attrs:{axis:r}});return o.forEach(p=>n.disposeIntermediateTensorInfo(p)),u}var Yne={kernelName:gu,backendName:"webgl",kernelFunc:Xne},Zne=class{constructor(e,t,n){this.variableNames=["x"],this.customUniforms=[{name:"value",type:"float"}],this.outputShape=t.map((l,u)=>l[0]+e[u]+l[1]);let a=e.length,r=gt(a),s=t.map(l=>l[0]).join(","),i=t.map((l,u)=>l[0]+e[u]).join(","),o=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,a);if(a===1){this.userCode=` + `}},iae=e=>{let{inputs:t,backend:n,attrs:a}=e,{indices:r}=t,{dtype:s,depth:i,onValue:o,offValue:l}=a,u=v.sizeFromShape(r.shape),p=new sae(u,i,o,l),d=de({inputs:{x:r},backend:n,attrs:{shape:[u]}}),c=n.runWebGLProgram(p,[d],s);n.disposeIntermediateTensorInfo(d);let h=[...r.shape,i],m=de({inputs:{x:c},backend:n,attrs:{shape:h}});return n.disposeIntermediateTensorInfo(c),m},oae={kernelName:Hi,backendName:"webgl",kernelFunc:iae};function rm(e){let{inputs:t,backend:n}=e,{x:a}=t;if(a.dtype==="complex64"){let r=pd({inputs:{input:a},backend:n}),s=rm({inputs:{x:r},backend:n}),i=Jf({inputs:{input:a},backend:n}),o=rm({inputs:{x:i},backend:n}),l=_s({inputs:{real:s,imag:o},backend:n});return n.disposeIntermediateTensorInfo(r),n.disposeIntermediateTensorInfo(s),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),l}else return cd({attrs:{shape:a.shape,dtype:a.dtype,value:a.dtype==="string"?"":0},backend:n})}var lae={kernelName:Mu,backendName:"webgl",kernelFunc:rm};function RE(e){let{inputs:t,backend:n}=e,{x:a}=t;if(a.dtype==="string")throw new Error("onesLike is not supported under string dtype");if(a.dtype==="complex64"){let r=pd({inputs:{input:a},backend:n}),s=RE({inputs:{x:r},backend:n}),i=Jf({inputs:{input:a},backend:n}),o=rm({inputs:{x:i},backend:n}),l=_s({inputs:{real:s,imag:o},backend:n});return n.disposeIntermediateTensorInfo(r),n.disposeIntermediateTensorInfo(s),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),l}else return cd({attrs:{shape:a.shape,dtype:a.dtype,value:1},backend:n})}var uae={kernelName:bu,backendName:"webgl",kernelFunc:RE};function pae(e){let{inputs:t,backend:n,attrs:a}=e,{axis:r}=a;if(t.length===1)return vx({inputs:{input:t[0]},backend:n,attrs:{dim:r}});let s=t[0].shape,i=t[0].dtype;t.forEach(p=>{v.assertShapesMatch(s,p.shape,"All tensors passed to stack must have matching shapes"),v.assert(i===p.dtype,()=>"All tensors passed to stack must have matching dtypes")});let o=[],l=t.map(p=>{let d=vx({inputs:{input:p},backend:n,attrs:{dim:r}});return o.push(d),d}),u=xE({inputs:l,backend:n,attrs:{axis:r}});return o.forEach(p=>n.disposeIntermediateTensorInfo(p)),u}var cae={kernelName:yu,backendName:"webgl",kernelFunc:pae},dae=class{constructor(e,t,n){this.variableNames=["x"],this.customUniforms=[{name:"value",type:"float"}],this.outputShape=t.map((l,u)=>l[0]+e[u]+l[1]);let a=e.length,r=gt(a),s=t.map(l=>l[0]).join(","),i=t.map((l,u)=>l[0]+e[u]).join(","),o=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,a);if(a===1){this.userCode=` int start = ${s}; int end = ${i}; @@ -3992,7 +3986,7 @@ return a / b;`,Tne=` setOutput(getX(${o})); } } - `}},Jne=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"value",type:"float"}],this.outputShape=t.map((m,f)=>m[0]+e[f]+m[1]);let a=e.length,r=gt(a),s=t.map(m=>m[0]).join(","),i=t.map((m,f)=>m[0]+e[f]).join(","),o=kn("rc",a),l=kn("source",a),u=`${o[a-1]} < ${this.outputShape[a-1]}`,p=a===1?"source":`vec2(${l.slice(-2).join()})`,d=[`${r} rc = outputLoc;`,`${o[a-1]} += 1; + `}},hae=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"value",type:"float"}],this.outputShape=t.map((m,f)=>m[0]+e[f]+m[1]);let a=e.length,r=gt(a),s=t.map(m=>m[0]).join(","),i=t.map((m,f)=>m[0]+e[f]).join(","),o=kn("rc",a),l=kn("source",a),u=`${o[a-1]} < ${this.outputShape[a-1]}`,p=a===1?"source":`vec2(${l.slice(-2).join()})`,d=[`${r} rc = outputLoc;`,`${o[a-1]} += 1; if(${u}) { `,a===1?"":`} rc = outputLoc; @@ -4016,7 +4010,7 @@ return a / b;`,Tne=` ${h} setOutput(result); } - `}},CE=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{paddings:s,constantValue:i}=a;if(v.sizeFromShape(r.shape)===0){let u=s.map((p,d)=>p[0]+r.shape[d]+p[1]);return pd({backend:n,attrs:{shape:u,value:i,dtype:r.dtype}})}let o=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Jne(r.shape,s,i):new Zne(r.shape,s,i),l=[[i]];return n.runWebGLProgram(o,[r],r.dtype,l)},Qne={kernelName:ji,backendName:"webgl",kernelFunc:CE},eae=` + `}},ME=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{paddings:s,constantValue:i}=a;if(v.sizeFromShape(r.shape)===0){let u=s.map((p,d)=>p[0]+r.shape[d]+p[1]);return cd({backend:n,attrs:{shape:u,value:i,dtype:r.dtype}})}let o=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new hae(r.shape,s,i):new dae(r.shape,s,i),l=[[i]];return n.runWebGLProgram(o,[r],r.dtype,l)},mae={kernelName:ji,backendName:"webgl",kernelFunc:ME},fae=` if(a < 0.0 && floor(b) < b){ return NAN; } @@ -4025,7 +4019,7 @@ return a / b;`,Tne=` } return (round(mod(b, 2.0)) != 1) ? pow(abs(a), b) : sign(a) * pow(abs(a), b); -`,tae=` +`,gae=` // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise. vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1))); vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1); @@ -4041,11 +4035,11 @@ return a / b;`,Tne=` bvec4 isNaN1 = lessThan(a, vec4(0.0)); bvec4 isNaN2 = lessThan(floor(b), b); bvec4 isNaN = bvec4(isNaN1.x && isNaN2.x, isNaN1.y && isNaN2.y, isNaN1.z && isNaN2.z, isNaN1.w && isNaN2.w); - `+od+` + `+ld+` return result; -`,nae=pn({opSnippet:eae,packedOpSnippet:tae}),aae={kernelName:qi,backendName:"webgl",kernelFunc:nae};function rae(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=[],u=v.parseAxisParam(s,r.shape),p=u,d=N.getAxesPermutation(p,o),c=r;d!=null&&(c=In({inputs:{x:r},backend:n,attrs:{perm:d}}),p=N.getInnerMostAxes(p.length,o),l.push(c)),N.assertAxesAreInnerMostDims("prod",p,o);let h;if(n.shouldExecuteOnCPU([c])){let m=n.texData.get(c.dataId).values,{outVals:f,outShape:g,outDtype:b}=lZ(c.shape,c.dtype,m,p);h=n.makeTensorInfo(g,b,f)}else{let[m,f]=N.computeOutAndReduceShapes(c.shape,p),g=v.sizeFromShape(f),b=de({inputs:{x:c},backend:n,attrs:{shape:[-1,g]}}),y=Wm(r.dtype),x=ko(b,y,"prod",n);h=de({inputs:{x},backend:n,attrs:{shape:m}}),l.push(b),l.push(x)}if(i){l.push(h);let m=N.expandShapeToKeepDim(h.shape,u);h=de({inputs:{x:h},backend:n,attrs:{shape:m}})}return l.forEach(m=>n.disposeIntermediateTensorInfo(m)),h}var sae={kernelName:Xi,backendName:"webgl",kernelFunc:rae};function iae(e){let{inputs:t,backend:n,attrs:a}=e,{paramsNestedSplits:r,paramsDenseValues:s,indices:i}=t,{outputRaggedRank:o}=a,l=r.map(b=>n.readSync(b.dataId)),u=r.map(b=>b.shape),p=n.readSync(s.dataId),d=n.readSync(i.dataId),[c,h,m]=uZ(l,u,p,s.shape,s.dtype,d,i.shape,o),f=c.map(b=>n.makeTensorInfo([b.length],"int32",b)),g=n.makeTensorInfo(m,s.dtype,h);return f.concat([g])}var oae={kernelName:Fm,backendName:"webgl",kernelFunc:iae};function lae(e){let{inputs:t,backend:n,attrs:a}=e,{shape:r,values:s,defaultValue:i,rowPartitionTensors:o}=t,{rowPartitionTypes:l}=a,u=n.readSync(r.dataId),p=n.readSync(s.dataId),d=n.readSync(i.dataId),c=o.map(g=>n.readSync(g.dataId)),h=o.map(g=>g.shape),[m,f]=pZ(u,r.shape,p,s.shape,s.dtype,d,i.shape,c,h,l);return n.makeTensorInfo(m,s.dtype,f)}var uae={kernelName:Dm,backendName:"webgl",kernelFunc:lae},_E=e=>{let{backend:t,attrs:n}=e,{start:a,stop:r,step:s,dtype:i}=n,o=cZ(a,r,s,i);return t.makeTensorInfo([o.length],i,o)},pae={kernelName:bc,backendName:"webgl",kernelFunc:_E},cae="return 1.0 / x;",dae=Ye({opSnippet:cae}),hae={kernelName:bu,backendName:"webgl",kernelFunc:dae},mae=Ra+` +`,bae=cn({opSnippet:fae,packedOpSnippet:gae}),yae={kernelName:qi,backendName:"webgl",kernelFunc:bae};function xae(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=[],u=v.parseAxisParam(s,r.shape),p=u,d=N.getAxesPermutation(p,o),c=r;d!=null&&(c=Sn({inputs:{x:r},backend:n,attrs:{perm:d}}),p=N.getInnerMostAxes(p.length,o),l.push(c)),N.assertAxesAreInnerMostDims("prod",p,o);let h;if(n.shouldExecuteOnCPU([c])){let m=n.texData.get(c.dataId).values,{outVals:f,outShape:g,outDtype:b}=k7(c.shape,c.dtype,m,p);h=n.makeTensorInfo(g,b,f)}else{let[m,f]=N.computeOutAndReduceShapes(c.shape,p),g=v.sizeFromShape(f),b=de({inputs:{x:c},backend:n,attrs:{shape:[-1,g]}}),y=Um(r.dtype),x=Io(b,y,"prod",n);h=de({inputs:{x},backend:n,attrs:{shape:m}}),l.push(b),l.push(x)}if(i){l.push(h);let m=N.expandShapeToKeepDim(h.shape,u);h=de({inputs:{x:h},backend:n,attrs:{shape:m}})}return l.forEach(m=>n.disposeIntermediateTensorInfo(m)),h}var vae={kernelName:Xi,backendName:"webgl",kernelFunc:xae};function wae(e){let{inputs:t,backend:n,attrs:a}=e,{paramsNestedSplits:r,paramsDenseValues:s,indices:i}=t,{outputRaggedRank:o}=a,l=r.map(b=>n.readSync(b.dataId)),u=r.map(b=>b.shape),p=n.readSync(s.dataId),d=n.readSync(i.dataId),[c,h,m]=I7(l,u,p,s.shape,s.dtype,d,i.shape,o),f=c.map(b=>n.makeTensorInfo([b.length],"int32",b)),g=n.makeTensorInfo(m,s.dtype,h);return f.concat([g])}var kae={kernelName:Dm,backendName:"webgl",kernelFunc:wae};function Iae(e){let{inputs:t,backend:n}=e,{starts:a,limits:r,deltas:s}=t,i=n.readSync(a.dataId),o=n.readSync(r.dataId),l=n.readSync(s.dataId),[u,p]=S7(i,a.shape,a.dtype,o,r.shape,l,s.shape),d=n.makeTensorInfo([u.length],"int32",u),c=n.makeTensorInfo([p.length],a.dtype,p);return[d,c]}var Sae={kernelName:Rm,backendName:"webgl",kernelFunc:Iae};function Tae(e){let{inputs:t,backend:n,attrs:a}=e,{shape:r,values:s,defaultValue:i,rowPartitionTensors:o}=t,{rowPartitionTypes:l}=a,u=n.readSync(r.dataId),p=n.readSync(s.dataId),d=n.readSync(i.dataId),c=o.map(g=>n.readSync(g.dataId)),h=o.map(g=>g.shape),[m,f]=T7(u,r.shape,p,s.shape,s.dtype,d,i.shape,c,h,l);return n.makeTensorInfo(m,s.dtype,f)}var Nae={kernelName:Mm,backendName:"webgl",kernelFunc:Tae},PE=e=>{let{backend:t,attrs:n}=e,{start:a,stop:r,step:s,dtype:i}=n,o=N7(a,r,s,i);return t.makeTensorInfo([o.length],i,o)},Cae={kernelName:xc,backendName:"webgl",kernelFunc:PE},_ae="return 1.0 / x;",Eae=Ye({opSnippet:_ae}),Aae={kernelName:xu,backendName:"webgl",kernelFunc:Eae},$ae=Ma+` return (x < 0.0) ? 0.0 : x; -`,fae=` +`,Fae=` vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0))); bvec4 isNaN = isnan(x); @@ -4055,9 +4049,9 @@ return a / b;`,Tne=` result.a = isNaN.a ? x.a : result.a; return result; -`,gae=Ye({opSnippet:mae,packedOpSnippet:fae}),bae={kernelName:Yi,backendName:"webgl",kernelFunc:gae},yae=Ra+` +`,Dae=Ye({opSnippet:$ae,packedOpSnippet:Fae}),Rae={kernelName:Yi,backendName:"webgl",kernelFunc:Dae},Mae=Ma+` return (x < 0.0) ? 0.0 : min(6.0, x); -`,xae=` +`,Pae=` vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0))); bvec4 isNaN = isnan(x); @@ -4067,7 +4061,7 @@ return a / b;`,Tne=` result.a = isNaN.a ? x.a : result.a; return result; -`,vae=Ye({opSnippet:yae,packedOpSnippet:xae}),wae={kernelName:Qi,backendName:"webgl",kernelFunc:vae},kae=class{constructor(e,t,n,a,r){this.variableNames=["A"],this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let u=[a&&t>1?i-1:i,a&&n>1?o-1:o],p=[a&&t>1?t-1:t,a&&n>1?n-1:n],d;r?d="(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":d="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` +`,Oae=Ye({opSnippet:Mae,packedOpSnippet:Pae}),Lae={kernelName:Qi,backendName:"webgl",kernelFunc:Oae},zae=class{constructor(e,t,n,a,r){this.variableNames=["A"],this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let u=[a&&t>1?i-1:i,a&&n>1?o-1:o],p=[a&&t>1?t-1:t,a&&n>1?n-1:n],d;r?d="(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":d="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` const vec2 effectiveInputOverOutputRatioRC = vec2( ${u[0]/p[0]}, ${u[1]/p[1]}); @@ -4100,7 +4094,7 @@ return a / b;`,Tne=` setOutput(newValue); } - `}},Iae=class{constructor(e,t,n,a,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let u=[a&&t>1?i-1:i,a&&n>1?o-1:o],p=[a&&t>1?t-1:t,a&&n>1?n-1:n],d;r?d="(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":d="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` + `}},Wae=class{constructor(e,t,n,a,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let u=[a&&t>1?i-1:i,a&&n>1?o-1:o],p=[a&&t>1?t-1:t,a&&n>1?n-1:n],d;r?d="(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":d="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` const vec3 effectiveInputOverOutputRatioRC = vec3( ${u[0]/p[0]}, ${u[1]/p[1]}, @@ -4177,7 +4171,7 @@ return a / b;`,Tne=` setOutput(newValue); } - `}};function Sae(e){let{inputs:t,backend:n,attrs:a}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,u]=o,p=H().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new Iae(r.shape,l,u,s,i):new kae(r.shape,l,u,s,i);return n.runWebGLProgram(p,[r],"float32")}var Tae={kernelName:Ji,backendName:"webgl",kernelFunc:Sae},Nae=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,a,r]=t,[,s,i]=e,o=[n&&s>1?a-1:a,n&&i>1?r-1:r],l=[n&&s>1?s-1:s,n&&i>1?i-1:i],u=o[0]/l[0],p=o[1]/l[1],d=1/u,c=1/p,h=Math.ceil(d)*2+2,m=Math.ceil(c)*2+2;this.userCode=` + `}};function Bae(e){let{inputs:t,backend:n,attrs:a}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,u]=o,p=H().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new Wae(r.shape,l,u,s,i):new zae(r.shape,l,u,s,i);return n.runWebGLProgram(p,[r],"float32")}var Vae={kernelName:Ji,backendName:"webgl",kernelFunc:Bae},Uae=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,a,r]=t,[,s,i]=e,o=[n&&s>1?a-1:a,n&&i>1?r-1:r],l=[n&&s>1?s-1:s,n&&i>1?i-1:i],u=o[0]/l[0],p=o[1]/l[1],d=1/u,c=1/p,h=Math.ceil(d)*2+2,m=Math.ceil(c)*2+2;this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; @@ -4258,7 +4252,7 @@ return a / b;`,Tne=` setOutput(accumulator); } - `}};function Cae(e){let{inputs:t,backend:n,attrs:a}=e,{images:r,dy:s}=t,{alignCorners:i}=a,o=new Nae(s.shape,r.shape,i);return n.runWebGLProgram(o,[s],s.dtype)}var _ae={kernelName:Pm,backendName:"webgl",kernelFunc:Cae},Eae=class{constructor(e,t,n,a,r){this.variableNames=["A"],this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let u=[a&&t>1?i-1:i,a&&n>1?o-1:o],p=[a&&t>1?t-1:t,a&&n>1?n-1:n],d=a?"0.5":"0.0",c;r?c="max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":c="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` + `}};function Gae(e){let{inputs:t,backend:n,attrs:a}=e,{images:r,dy:s}=t,{alignCorners:i}=a,o=new Uae(s.shape,r.shape,i);return n.runWebGLProgram(o,[s],s.dtype)}var Hae={kernelName:Lm,backendName:"webgl",kernelFunc:Gae},jae=class{constructor(e,t,n,a,r){this.variableNames=["A"],this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let u=[a&&t>1?i-1:i,a&&n>1?o-1:o],p=[a&&t>1?t-1:t,a&&n>1?n-1:n],d=a?"0.5":"0.0",c;r?c="max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":c="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` const vec2 effectiveInputOverOutputRatioRC = vec2( ${u[0]/p[0]}, ${u[1]/p[1]}); @@ -4280,7 +4274,7 @@ return a / b;`,Tne=` setOutput(newValue); } - `}},Aae=class{constructor(e,t,n,a,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let u=[a&&t>1?i-1:i,a&&n>1?o-1:o],p=[a&&t>1?t-1:t,a&&n>1?n-1:n],d=a?"0.5":"0.0",c;r?c="max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))":c="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` + `}},qae=class{constructor(e,t,n,a,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let u=[a&&t>1?i-1:i,a&&n>1?o-1:o],p=[a&&t>1?t-1:t,a&&n>1?n-1:n],d=a?"0.5":"0.0",c;r?c="max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))":c="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` const vec3 effectiveInputOverOutputRatioRC = vec3( ${u[0]/p[0]}, ${u[1]/p[1]}, @@ -4321,7 +4315,7 @@ return a / b;`,Tne=` setOutput(newValue); } - `}};function $ae(e){let{inputs:t,backend:n,attrs:a}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,u]=o,p=H().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new Aae(r.shape,l,u,s,i):new Eae(r.shape,l,u,s,i);return n.runWebGLProgram(p,[r],r.dtype)}var Fae={kernelName:Zi,backendName:"webgl",kernelFunc:$ae},Dae=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,a,r]=t,[,s,i]=e,o=[n&&s>1?a-1:a,n&&i>1?r-1:r],l=[n&&s>1?s-1:s,n&&i>1?i-1:i],u=o[0]/l[0],p=o[1]/l[1],d=1/u,c=1/p,h=Math.ceil(d)*2+2,m=Math.ceil(c)*2+2;this.userCode=` + `}};function Kae(e){let{inputs:t,backend:n,attrs:a}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,u]=o,p=H().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new qae(r.shape,l,u,s,i):new jae(r.shape,l,u,s,i);return n.runWebGLProgram(p,[r],r.dtype)}var Xae={kernelName:Zi,backendName:"webgl",kernelFunc:Kae},Yae=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,a,r]=t,[,s,i]=e,o=[n&&s>1?a-1:a,n&&i>1?r-1:r],l=[n&&s>1?s-1:s,n&&i>1?i-1:i],u=o[0]/l[0],p=o[1]/l[1],d=1/u,c=1/p,h=Math.ceil(d)*2+2,m=Math.ceil(c)*2+2;this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; @@ -4391,7 +4385,7 @@ return a / b;`,Tne=` setOutput(accumulator); } - `}};function Rae(e){let{inputs:t,backend:n,attrs:a}=e,{images:r,dy:s}=t,{alignCorners:i}=a,o=new Dae(s.shape,r.shape,i);return n.runWebGLProgram(o,[s],s.dtype)}var Mae={kernelName:Mm,backendName:"webgl",kernelFunc:Rae},Pae=class{constructor(e,t){this.variableNames=["x"];let n=e.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);if(this.outputShape=e,n===1){this.userCode=` + `}};function Zae(e){let{inputs:t,backend:n,attrs:a}=e,{images:r,dy:s}=t,{alignCorners:i}=a,o=new Yae(s.shape,r.shape,i);return n.runWebGLProgram(o,[s],s.dtype)}var Jae={kernelName:Om,backendName:"webgl",kernelFunc:Zae},Qae=class{constructor(e,t){this.variableNames=["x"];let n=e.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);if(this.outputShape=e,n===1){this.userCode=` void main() { int coord = getOutputCoords(); setOutput(getX(${e[0]} - coord - 1)); @@ -4401,7 +4395,7 @@ return a / b;`,Tne=` ${s} coords = getOutputCoords(); setOutput(getX(${r})); } - `}},Oae=class{constructor(e,t){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;let n=e.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);this.outputShape=e;let a=kn("rc",n),r=`${a[n-1]} + 1 < ${this.outputShape[n-1]}`,s=`${a[n-2]} + 1 < ${this.outputShape[n-2]}`,i=gt(n);n===1?this.userCode=` + `}},ere=class{constructor(e,t){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;let n=e.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);this.outputShape=e;let a=kn("rc",n),r=`${a[n-1]} + 1 < ${this.outputShape[n-1]}`,s=`${a[n-2]} + 1 < ${this.outputShape[n-2]}`,i=gt(n);n===1?this.userCode=` void main(){ int rc = getOutputCoords(); vec4 result = vec4(0.); @@ -4429,7 +4423,7 @@ return a / b;`,Tne=` } setOutput(result); } - `;function o(h){return d(h)}function l(h){return h[n-1]="("+h[n-1]+" + 1)",d(h)}function u(h){return h[n-2]="("+h[n-2]+" + 1)",d(h)}function p(h){return h[n-1]="("+h[n-1]+" + 1)",h[n-2]="("+h[n-2]+" + 1)",d(h)}function d(h){let m=e.map((b,y)=>c(y,h)),f=m.join(","),g=m.slice(-2).join(",");return`getChannel(getX(${f}), vec2(${g}))`}function c(h,m){return t.indexOf(h)!==-1&&e[h]!==1?`${e[h]} - ${m[h]} - 1`:`${m[h]}`}}};function Lae(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dims:s}=a,i=r.shape.length,o=v.parseAxisParam(s,r.shape);if(i===0)return na({inputs:{x:r},backend:n});let l=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Oae(r.shape,o):new Pae(r.shape,o);return n.runWebGLProgram(l,[r],r.dtype)}var zae={kernelName:eo,backendName:"webgl",kernelFunc:Lae},Bae=class{constructor(e,t){this.variableNames=["Image"],this.outputShape=[],this.customUniforms=[{name:"params",type:"vec4"}];let n=e[1],a=e[2];this.outputShape=e;let r="";typeof t=="number"?r=`float outputValue = ${t.toFixed(2)};`:r=` + `;function o(h){return d(h)}function l(h){return h[n-1]="("+h[n-1]+" + 1)",d(h)}function u(h){return h[n-2]="("+h[n-2]+" + 1)",d(h)}function p(h){return h[n-1]="("+h[n-1]+" + 1)",h[n-2]="("+h[n-2]+" + 1)",d(h)}function d(h){let m=e.map((b,y)=>c(y,h)),f=m.join(","),g=m.slice(-2).join(",");return`getChannel(getX(${f}), vec2(${g}))`}function c(h,m){return t.indexOf(h)!==-1&&e[h]!==1?`${e[h]} - ${m[h]} - 1`:`${m[h]}`}}};function tre(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dims:s}=a,i=r.shape.length,o=v.parseAxisParam(s,r.shape);if(i===0)return aa({inputs:{x:r},backend:n});let l=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new ere(r.shape,o):new Qae(r.shape,o);return n.runWebGLProgram(l,[r],r.dtype)}var nre={kernelName:eo,backendName:"webgl",kernelFunc:tre},are=class{constructor(e,t){this.variableNames=["Image"],this.outputShape=[],this.customUniforms=[{name:"params",type:"vec4"}];let n=e[1],a=e[2];this.outputShape=e;let r="";typeof t=="number"?r=`float outputValue = ${t.toFixed(2)};`:r=` vec3 fill = vec3(${t.join(",")}); float outputValue = fill[coords[3]];`,this.userCode=` void main() { @@ -4448,7 +4442,7 @@ return a / b;`,Tne=` } setOutput(outputValue); } - `}},Wae={kernelName:Ru,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{image:a}=e,{radians:r,fillValue:s,center:i}=t,o=n,l=new Bae(a.shape,s),[u,p]=N.getImageCenter(i,a.shape[1],a.shape[2]),d=[[u,p,Math.sin(r),Math.cos(r)]];return o.runWebGLProgram(l,[a],a.dtype,d)}},Vae=` + `}},rre={kernelName:Pu,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{image:a}=e,{radians:r,fillValue:s,center:i}=t,o=n,l=new are(a.shape,s),[u,p]=N.getImageCenter(i,a.shape[1],a.shape[2]),d=[[u,p,Math.sin(r),Math.cos(r)]];return o.runWebGLProgram(l,[a],a.dtype,d)}},sre=` // OpenGL ES does not support round function. // The algorithm is based on banker's rounding. float base = floor(x); @@ -4463,7 +4457,7 @@ return a / b;`,Tne=` return base + 1.0; } } -`,Uae=Ye({opSnippet:Vae}),Gae={kernelName:to,backendName:"webgl",kernelFunc:Uae},Hae="return inversesqrt(x);",jae=Ye({opSnippet:Hae,cpuKernelImpl:dZ}),qae={kernelName:no,backendName:"webgl",kernelFunc:jae},EE=class{constructor(e,t,n,a,r,s,i=!0){this.variableNames=["updates","indices","defaultValue"],this.outputShape=s;let o=gt(r.length),l=gt(s.length),u="";n===1?u="i":n===2&&(u="i, j");let p=`getIndices(${u})`,d="";a===1?d="i":a===2&&(d="i, coords[1]");let c=`getUpdates(${d})`,h=t>1?"strides[j]":"strides";this.userCode=` +`,ire=Ye({opSnippet:sre}),ore={kernelName:to,backendName:"webgl",kernelFunc:ire},lre="return inversesqrt(x);",ure=Ye({opSnippet:lre,cpuKernelImpl:C7}),pre={kernelName:no,backendName:"webgl",kernelFunc:ure},OE=class{constructor(e,t,n,a,r,s,i=!0){this.variableNames=["updates","indices","defaultValue"],this.outputShape=s;let o=gt(r.length),l=gt(s.length),u="";n===1?u="i":n===2&&(u="i, j");let p=`getIndices(${u})`,d="";a===1?d="i":a===2&&(d="i, coords[1]");let c=`getUpdates(${d})`,h=t>1?"strides[j]":"strides";this.userCode=` ${o} strides = ${o}(${r}); void main() { @@ -4483,7 +4477,7 @@ return a / b;`,Tne=` } setOutput(mix(getDefaultValue(), sum, float(found))); } - `}};function Kae(e){let{inputs:t,backend:n,attrs:a}=e,{indices:r,updates:s}=t,{shape:i}=a,{sliceRank:o,numUpdates:l,sliceSize:u,strides:p,outputSize:d}=N.calculateShapes(s,r,i),c=[d/u,u];if(d===0)return n.makeTensorInfo(i,r.dtype);let h=de({inputs:{x:r},backend:n,attrs:{shape:[l,o]}}),m=de({inputs:{x:s},backend:n,attrs:{shape:[l,u]}}),f=n.makeTensorInfo([],"float32",new Float32Array([0])),g=new EE(l,o,h.shape.length,m.shape.length,p,c),b=n.runWebGLProgram(g,[m,h,f],m.dtype),y=de({inputs:{x:b},backend:n,attrs:{shape:i}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(b),n.disposeIntermediateTensorInfo(f),y}var Xae={kernelName:xu,backendName:"webgl",kernelFunc:Kae},Yae=class{constructor(e,t,n,a){this.variableNames=["sortedSequence","values"],this.customUniforms=[{name:"numInputs",type:"int"}],this.outputShape=[e,n];let r="while (left < right) {",s=`for (int i = 0; i < ${Math.ceil(Math.log2(t+1))}; ++i) { if (left >= right) break;`,i=H().getNumber("WEBGL_VERSION")===2?r:s,o=a==="left"?"<":"<=";this.userCode=` + `}};function cre(e){let{inputs:t,backend:n,attrs:a}=e,{indices:r,updates:s}=t,{shape:i}=a,{sliceRank:o,numUpdates:l,sliceSize:u,strides:p,outputSize:d}=N.calculateShapes(s,r,i),c=[d/u,u];if(d===0)return n.makeTensorInfo(i,r.dtype);let h=de({inputs:{x:r},backend:n,attrs:{shape:[l,o]}}),m=de({inputs:{x:s},backend:n,attrs:{shape:[l,u]}}),f=n.makeTensorInfo([],"float32",new Float32Array([0])),g=new OE(l,o,h.shape.length,m.shape.length,p,c),b=n.runWebGLProgram(g,[m,h,f],m.dtype),y=de({inputs:{x:b},backend:n,attrs:{shape:i}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(b),n.disposeIntermediateTensorInfo(f),y}var dre={kernelName:wu,backendName:"webgl",kernelFunc:cre},hre=class{constructor(e,t,n,a){this.variableNames=["sortedSequence","values"],this.customUniforms=[{name:"numInputs",type:"int"}],this.outputShape=[e,n];let r="while (left < right) {",s=`for (int i = 0; i < ${Math.ceil(Math.log2(t+1))}; ++i) { if (left >= right) break;`,i=H().getNumber("WEBGL_VERSION")===2?r:s,o=a==="left"?"<":"<=";this.userCode=` int findBound(int batch, float value) { int left = 0; int right = numInputs; @@ -4508,7 +4502,7 @@ return a / b;`,Tne=` setOutput(float(findBound(batch, value))); } - `}};function Zae(e){let{inputs:t,backend:n,attrs:a}=e,{sortedSequence:r,values:s}=t,{side:i}=a,o=new Yae(r.shape[0],r.shape[1],s.shape[1],i),l=[[r.shape[1]]];return n.runWebGLProgram(o,[r,s],"int32",l)}var Jae={kernelName:Om,backendName:"webgl",kernelFunc:Zae},Qae=class{constructor(e,t,n){this.variableNames=["c","a","b"],this.outputShape=t;let a,r;if(n>4)throw Error(`Where for rank ${n} is not yet supported`);if(n===1)r="resRC",a="resRC";else{let i=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],l=[];for(let u=0;u4)throw Error(`Where for rank ${n} is not yet supported`);if(n===1)r="resRC",a="resRC";else{let i=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],l=[];for(let u=0;u= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0); -`,are=Ye({opSnippet:nre}),rre={kernelName:wu,backendName:"webgl",kernelFunc:are},sre=Qu+` +`,vre=Ye({opSnippet:xre}),wre={kernelName:Iu,backendName:"webgl",kernelFunc:vre},kre=tp+` return 1.0 / (1.0 + exp(-1.0 * x)); -`,ire=` +`,Ire=` vec4 result = 1.0 / (1.0 + exp(-1.0 * x)); bvec4 isNaN = isnan(x); @@ -4536,15 +4530,15 @@ return a / b;`,Tne=` result.a = isNaN.a ? x.a : result.a; return result; -`,ore=Ye({opSnippet:sre,packedOpSnippet:ire,cpuKernelImpl:mZ}),lre={kernelName:ro,backendName:"webgl",kernelFunc:ore},ure=` +`,Sre=Ye({opSnippet:kre,packedOpSnippet:Ire,cpuKernelImpl:E7}),Tre={kernelName:ro,backendName:"webgl",kernelFunc:Sre},Nre=` if (isnan(x)) { return 0.0; } return sign(x); -`,pre=Ye({opSnippet:ure}),cre={kernelName:Su,backendName:"webgl",kernelFunc:pre},dre=Qu+` +`,Cre=Ye({opSnippet:Nre}),_re={kernelName:Nu,backendName:"webgl",kernelFunc:Cre},Ere=tp+` return sin(x); -`,hre=Ye({opSnippet:dre}),mre={kernelName:ao,backendName:"webgl",kernelFunc:hre},fre=` +`,Are=Ye({opSnippet:Ere}),$re={kernelName:ao,backendName:"webgl",kernelFunc:Are},Fre=` float e2x = exp(x); return (e2x - 1.0 / e2x) / 2.0; -`,gre=Ye({opSnippet:fre}),bre={kernelName:Iu,backendName:"webgl",kernelFunc:gre},yre=` +`,Dre=Ye({opSnippet:Fre}),Rre={kernelName:Tu,backendName:"webgl",kernelFunc:Dre},Mre=` float epsilon = 1.1920928955078125e-7; float threshold = log(epsilon) + 2.0; @@ -4564,17 +4558,17 @@ return a / b;`,Tne=` result = log(exp_x + 1.0); } return result; -`,xre=Ye({opSnippet:yre}),vre={kernelName:Tu,backendName:"webgl",kernelFunc:xre},wre=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockShape:s,paddings:i}=a;v.assert(r.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");let o=s.reduce((b,y)=>b*y),l=[[0,0]];l.push(...i);for(let b=1+s.length;bn.disposeIntermediateTensorInfo(b)),g},kre={kernelName:Nu,backendName:"webgl",kernelFunc:wre};function Ire(e){let{inputs:t,backend:n}=e,{indices:a,values:r,denseShape:s,defaultValue:i}=t;if(s.shape.length!==1)throw new Error(`Dense shape must be a vector, saw: +`,Pre=Ye({opSnippet:Mre}),Ore={kernelName:Cu,backendName:"webgl",kernelFunc:Pre},Lre=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockShape:s,paddings:i}=a;v.assert(r.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");let o=s.reduce((b,y)=>b*y),l=[[0,0]];l.push(...i);for(let b=1+s.length;bn.disposeIntermediateTensorInfo(b)),g},zre={kernelName:_u,backendName:"webgl",kernelFunc:Lre};function Wre(e){let{inputs:t,backend:n}=e,{indices:a,values:r,denseShape:s,defaultValue:i}=t;if(s.shape.length!==1)throw new Error(`Dense shape must be a vector, saw: ${s.shape}`);if(a.shape.length!==2)throw new Error(`Indices must be a matrix, saw: ${a.shape}`);if(r.shape.length!==1)throw new Error(`Values must be a vector, saw: ${r.shape}`);if(i.shape.length!==0)throw new Error(`Default value must be a scalar, saw: - ${i.shape}`);let o=n.readSync(a.dataId),l=n.readSync(r.dataId),u=n.readSync(s.dataId),p=n.readSync(i.dataId)[0],[d,c,h,m,f]=gZ(o,a.shape,a.dtype,l,r.dtype,u,p);return[n.makeTensorInfo(c,a.dtype,d),n.makeTensorInfo([c[0]],r.dtype,h),n.makeTensorInfo([m.length],"bool",new Uint8Array(m.map(g=>Number(g)))),n.makeTensorInfo([f.length],a.dtype,new Int32Array(f))]}var Sre={kernelName:yc,backendName:"webgl",kernelFunc:Ire};function Tre(e){let{inputs:t,backend:n}=e,{inputIndices:a,inputShape:r,newShape:s}=t;if(a.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape ${a.shape}`);if(r.shape.length!==1)throw new Error(`Input shape should be a vector but received shape ${r.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=Array.from(n.readSync(r.dataId)),o=n.readSync(a.dataId),l=Array.from(n.readSync(s.dataId)),[u,p,d]=bZ(o,a.shape,a.dtype,i,l);return[n.makeTensorInfo(p,a.dtype,u),n.makeTensorInfo([d.length],s.dtype,new Int32Array(d))]}var Nre={kernelName:_u,backendName:"webgl",kernelFunc:Tre};function Cre(e){let{inputs:t,backend:n}=e,{data:a,indices:r,segmentIds:s}=t;if(a.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape + ${i.shape}`);let o=n.readSync(a.dataId),l=n.readSync(r.dataId),u=n.readSync(s.dataId),p=n.readSync(i.dataId)[0],[d,c,h,m,f]=$7(o,a.shape,a.dtype,l,r.dtype,u,p);return[n.makeTensorInfo(c,a.dtype,d),n.makeTensorInfo([c[0]],r.dtype,h),n.makeTensorInfo([m.length],"bool",new Uint8Array(m.map(g=>Number(g)))),n.makeTensorInfo([f.length],a.dtype,new Int32Array(f))]}var Bre={kernelName:vc,backendName:"webgl",kernelFunc:Wre};function Vre(e){let{inputs:t,backend:n}=e,{inputIndices:a,inputShape:r,newShape:s}=t;if(a.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape ${a.shape}`);if(r.shape.length!==1)throw new Error(`Input shape should be a vector but received shape ${r.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=Array.from(n.readSync(r.dataId)),o=n.readSync(a.dataId),l=Array.from(n.readSync(s.dataId)),[u,p,d]=F7(o,a.shape,a.dtype,i,l);return[n.makeTensorInfo(p,a.dtype,u),n.makeTensorInfo([d.length],s.dtype,new Int32Array(d))]}var Ure={kernelName:Au,backendName:"webgl",kernelFunc:Vre};function Gre(e){let{inputs:t,backend:n}=e,{data:a,indices:r,segmentIds:s}=t;if(a.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape ${r.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape - ${s.shape}`);let i=n.readSync(a.dataId),o=n.readSync(r.dataId),l=n.readSync(s.dataId),[u,p]=Z_(i,a.shape,a.dtype,o,l,!0);return n.makeTensorInfo(p,a.dtype,u)}var _re={kernelName:xc,backendName:"webgl",kernelFunc:Cre};function Ere(e){let{inputs:t,backend:n}=e,{data:a,indices:r,segmentIds:s}=t;if(a.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape + ${s.shape}`);let i=n.readSync(a.dataId),o=n.readSync(r.dataId),l=n.readSync(s.dataId),[u,p]=sE(i,a.shape,a.dtype,o,l,!0);return n.makeTensorInfo(p,a.dtype,u)}var Hre={kernelName:wc,backendName:"webgl",kernelFunc:Gre};function jre(e){let{inputs:t,backend:n}=e,{data:a,indices:r,segmentIds:s}=t;if(a.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape ${r.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape - ${s.shape}`);let i=n.readSync(a.dataId),o=n.readSync(r.dataId),l=n.readSync(s.dataId),[u,p]=Z_(i,a.shape,a.dtype,o,l);return n.makeTensorInfo(p,a.dtype,u)}var Are={kernelName:vc,backendName:"webgl",kernelFunc:Ere};function $re(e){let{inputs:t,backend:n,attrs:a}=e,{sparseIndices:r,sparseValues:s,defaultValue:i}=t,{outputShape:o}=a,{sliceRank:l,numUpdates:u,sliceSize:p,strides:d,outputSize:c}=N.calculateShapes(s,r,o),h=!1;if(s.dtype==="string"){let b=n.bufferSync(r),y=n.bufferSync(s),x=v.decodeString(n.readSync(i.dataId)[0]),w=hZ(b,y,o,c,p,u,l,d,x,h);return n.makeTensorInfo(o,w.dtype,w.values)}let m=new EE(u,l,r.shape.length,s.shape.length,d,[c,1],h),f=n.runWebGLProgram(m,[s,r,i],s.dtype),g=de({inputs:{x:f},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(f),g}var Fre={kernelName:Lm,backendName:"webgl",kernelFunc:$re};function Dre(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=a,o=v.parseAxisParam(i,r.shape)[0],l=N.prepareSplitSize(r,s,o),u=r.shape.length,p=new Array(u).fill(0),d=r.shape.slice();return l.map(c=>{let h=[...d];h[o]=c;let m=ep({inputs:{x:r},backend:n,attrs:{begin:p,size:h}});return p[o]+=c,m})}var Rre={kernelName:Cu,backendName:"webgl",kernelFunc:Dre},NI="return sqrt(x);",Mre=Ye({opSnippet:NI,packedOpSnippet:NI,cpuKernelImpl:yZ}),Pre={kernelName:so,backendName:"webgl",kernelFunc:Mre},Ore="return x * x;",Lre=Ye({opSnippet:Ore}),zre={kernelName:wc,backendName:"webgl",kernelFunc:Lre},CI="return (a - b) * (a - b);",Bre=pn({opSnippet:CI,packedOpSnippet:CI}),Wre={kernelName:lo,backendName:"webgl",kernelFunc:Bre};function Vre({inputs:e,attrs:t,backend:n}){let{x:a}=e,r=Ra+` + ${s.shape}`);let i=n.readSync(a.dataId),o=n.readSync(r.dataId),l=n.readSync(s.dataId),[u,p]=sE(i,a.shape,a.dtype,o,l);return n.makeTensorInfo(p,a.dtype,u)}var qre={kernelName:kc,backendName:"webgl",kernelFunc:jre};function Kre(e){let{inputs:t,backend:n,attrs:a}=e,{sparseIndices:r,sparseValues:s,defaultValue:i}=t,{outputShape:o}=a,{sliceRank:l,numUpdates:u,sliceSize:p,strides:d,outputSize:c}=N.calculateShapes(s,r,o),h=!1;if(s.dtype==="string"){let b=n.bufferSync(r),y=n.bufferSync(s),x=v.decodeString(n.readSync(i.dataId)[0]),w=_7(b,y,o,c,p,u,l,d,x,h);return n.makeTensorInfo(o,w.dtype,w.values)}let m=new OE(u,l,r.shape.length,s.shape.length,d,[c,1],h),f=n.runWebGLProgram(m,[s,r,i],s.dtype),g=de({inputs:{x:f},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(f),g}var Xre={kernelName:Wm,backendName:"webgl",kernelFunc:Kre};function Yre(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=a,o=v.parseAxisParam(i,r.shape)[0],l=N.prepareSplitSize(r,s,o),u=r.shape.length,p=new Array(u).fill(0),d=r.shape.slice();return l.map(c=>{let h=[...d];h[o]=c;let m=np({inputs:{x:r},backend:n,attrs:{begin:p,size:h}});return p[o]+=c,m})}var Zre={kernelName:Eu,backendName:"webgl",kernelFunc:Yre},DI="return sqrt(x);",Jre=Ye({opSnippet:DI,packedOpSnippet:DI,cpuKernelImpl:D7}),Qre={kernelName:so,backendName:"webgl",kernelFunc:Jre},ese="return x * x;",tse=Ye({opSnippet:ese}),nse={kernelName:Ic,backendName:"webgl",kernelFunc:tse},RI="return (a - b) * (a - b);",ase=cn({opSnippet:RI,packedOpSnippet:RI}),rse={kernelName:lo,backendName:"webgl",kernelFunc:ase};function sse({inputs:e,attrs:t,backend:n}){let{x:a}=e,r=Ma+` return x > 0.0 ? 1.0 : float(${t.alpha}); - `,s=new Cr(a.shape,r);return n.runWebGLProgram(s,[a],a.dtype)}var Ure={kernelName:ys,backendName:"webgl",kernelFunc:Vre},Gre=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=n;let a=n.length,r=gt(n.length),s=gt(n.length),i="";if(a===1)i="coords * strides + begin";else{let o=0;i=n.map((l,u)=>(o++,n.length===1?`coords * strides[${u}] + begin[${u}]`:`coords[${o-1}] * strides[${u}] + begin[${u}]`)).join(",")}this.userCode=` + `,s=new Cr(a.shape,r);return n.runWebGLProgram(s,[a],a.dtype)}var ise={kernelName:xs,backendName:"webgl",kernelFunc:sse},ose=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=n;let a=n.length,r=gt(n.length),s=gt(n.length),i="";if(a===1)i="coords * strides + begin";else{let o=0;i=n.map((l,u)=>(o++,n.length===1?`coords * strides[${u}] + begin[${u}]`:`coords[${o-1}] * strides[${u}] + begin[${u}]`)).join(",")}this.userCode=` ${r} begin = ${r}(${e}); ${r} strides = ${r}(${t}); @@ -4582,15 +4576,15 @@ return a / b;`,Tne=` ${s} coords = getOutputCoords(); setOutput(getX(${i})); } - `}};function Hre(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:p,newAxisMask:d,shrinkAxisMask:c}=a,{finalShapeSparse:h,finalShape:m,isIdentity:f,sliceDim0:g,isSimpleSlice:b,begin:y,end:x,strides:w}=jt.sliceInfo(r.shape,s,i,o,l,u,p,d,c),I;if(f)I=de({inputs:{x:r},backend:n,attrs:{shape:m}});else if(g||b){v.assert(r.shape.length>=1,()=>`Input must have rank at least 1, got: ${r.shape.length}`);let C=jt.computeOutShape(y,x,w),E=ep({inputs:{x:r},backend:n,attrs:{begin:y,size:C}});I=de({inputs:{x:E},backend:n,attrs:{shape:m}}),n.disposeIntermediateTensorInfo(E)}else if(n.shouldExecuteOnCPU([r])){let C=n.readSync(r.dataId),E=Oe(r.shape,r.dtype,C),A=xZ(h,E,w,y);I=n.makeTensorInfo(m,r.dtype,A.values)}else{let C=new Gre(y,w,h);I=n.runWebGLProgram(C,[r],r.dtype)}let T=de({inputs:{x:I},backend:n,attrs:{shape:m}});return n.disposeIntermediateTensorInfo(I),T}var jre={kernelName:Eu,backendName:"webgl",kernelFunc:Hre};function qre(e){let{inputs:t,backend:n,attrs:a}=e,{separator:r,nGramWidths:s,leftPad:i,rightPad:o,padWidth:l,preserveShortSequences:u}=a,{data:p,dataSplits:d}=t,c=n.readSync(p.dataId),h=n.readSync(d.dataId),[m,f]=vZ(c,h,r,s,i,o,l,u);return[n.makeTensorInfo([m.length],"string",m),n.makeTensorInfo(d.shape,"int32",f)]}var Kre={kernelName:kc,backendName:"webgl",kernelFunc:qre};function Xre(e){let{inputs:t,backend:n,attrs:a}=e,{skipEmpty:r}=a,{input:s,delimiter:i}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(i.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${i.shape}`);let o=n.readSync(s.dataId),l=n.readSync(i.dataId)[0],[u,p,d]=wZ(o,l,r),c=p.length;return[n.makeTensorInfo([c,2],"int32",u),n.makeTensorInfo([c],"string",p),n.makeTensorInfo([2],"int32",new Int32Array(d))]}var Yre={kernelName:Ic,backendName:"webgl",kernelFunc:Xre};function Zre(e){let{inputs:t,backend:n,attrs:a}=e,{numBuckets:r}=a,{input:s}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(r<=0)throw new Error("Number of buckets must be at least 1");let i=n.readSync(s.dataId),o=kZ(i,r);return n.makeTensorInfo(s.shape,"int32",o)}var Jre={kernelName:Sc,backendName:"webgl",kernelFunc:Zre},Qre="return tan(x);",ese=Ye({opSnippet:Qre}),tse={kernelName:po,backendName:"webgl",kernelFunc:ese},nse=` + `}};function lse(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:p,newAxisMask:d,shrinkAxisMask:c}=a,{finalShapeSparse:h,finalShape:m,isIdentity:f,sliceDim0:g,isSimpleSlice:b,begin:y,end:x,strides:w}=jt.sliceInfo(r.shape,s,i,o,l,u,p,d,c),I;if(f)I=de({inputs:{x:r},backend:n,attrs:{shape:m}});else if(g||b){v.assert(r.shape.length>=1,()=>`Input must have rank at least 1, got: ${r.shape.length}`);let C=jt.computeOutShape(y,x,w),E=np({inputs:{x:r},backend:n,attrs:{begin:y,size:C}});I=de({inputs:{x:E},backend:n,attrs:{shape:m}}),n.disposeIntermediateTensorInfo(E)}else if(n.shouldExecuteOnCPU([r])){let C=n.readSync(r.dataId),E=Oe(r.shape,r.dtype,C),A=R7(h,E,w,y);I=n.makeTensorInfo(m,r.dtype,A.values)}else{let C=new ose(y,w,h);I=n.runWebGLProgram(C,[r],r.dtype)}let T=de({inputs:{x:I},backend:n,attrs:{shape:m}});return n.disposeIntermediateTensorInfo(I),T}var use={kernelName:$u,backendName:"webgl",kernelFunc:lse};function pse(e){let{inputs:t,backend:n,attrs:a}=e,{separator:r,nGramWidths:s,leftPad:i,rightPad:o,padWidth:l,preserveShortSequences:u}=a,{data:p,dataSplits:d}=t,c=n.readSync(p.dataId),h=n.readSync(d.dataId),[m,f]=M7(c,h,r,s,i,o,l,u);return[n.makeTensorInfo([m.length],"string",m),n.makeTensorInfo(d.shape,"int32",f)]}var cse={kernelName:Sc,backendName:"webgl",kernelFunc:pse};function dse(e){let{inputs:t,backend:n,attrs:a}=e,{skipEmpty:r}=a,{input:s,delimiter:i}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(i.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${i.shape}`);let o=n.readSync(s.dataId),l=n.readSync(i.dataId)[0],[u,p,d]=P7(o,l,r),c=p.length;return[n.makeTensorInfo([c,2],"int32",u),n.makeTensorInfo([c],"string",p),n.makeTensorInfo([2],"int32",new Int32Array(d))]}var hse={kernelName:Tc,backendName:"webgl",kernelFunc:dse};function mse(e){let{inputs:t,backend:n,attrs:a}=e,{numBuckets:r}=a,{input:s}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(r<=0)throw new Error("Number of buckets must be at least 1");let i=n.readSync(s.dataId),o=O7(i,r);return n.makeTensorInfo(s.shape,"int32",o)}var fse={kernelName:Nc,backendName:"webgl",kernelFunc:mse},gse="return tan(x);",bse=Ye({opSnippet:gse}),yse={kernelName:po,backendName:"webgl",kernelFunc:bse},xse=` float e2x = exp(-2.0 * abs(x)); return sign(x) * (1.0 - e2x) / (1.0 + e2x); -`,ase=Ye({opSnippet:nse}),rse={kernelName:co,backendName:"webgl",kernelFunc:ase},sse=class{constructor(e,t){this.variableNames=["A"];let n=new Array(e.length);for(let s=0;s5)throw Error(`Tile for rank ${t} is not yet supported`);if(t===1)return`imod(resRC, ${e[0]})`;let n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],a=[];for(let r=0;r5){let o=n.readSync(r.dataId),l=r.dtype==="string"?o.map(d=>v.decodeString(d)):o,u=Oe(r.shape,r.dtype,l),p=SZ(u,s);return n.makeTensorInfo(p.shape,p.dtype,p.values)}let i=new sse(r.shape,s);return n.runWebGLProgram(i,[r],r.dtype)}var ose={kernelName:bs,backendName:"webgl",kernelFunc:AE},lse=class{constructor(e){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"negativeInf",type:"float"},{name:"dir",type:"int"},{name:"inc",type:"int"}],this.outputShape=e,this.userCode=` + `}};function Ise(e){let t=e.length;if(t>5)throw Error(`Tile for rank ${t} is not yet supported`);if(t===1)return`imod(resRC, ${e[0]})`;let n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],a=[];for(let r=0;r5){let o=n.readSync(r.dataId),l=r.dtype==="string"?o.map(d=>v.decodeString(d)):o,u=Oe(r.shape,r.dtype,l),p=z7(u,s);return n.makeTensorInfo(p.shape,p.dtype,p.values)}let i=new kse(r.shape,s);return n.runWebGLProgram(i,[r],r.dtype)}var Sse={kernelName:ys,backendName:"webgl",kernelFunc:LE},Tse=class{constructor(e){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"negativeInf",type:"float"},{name:"dir",type:"int"},{name:"inc",type:"int"}],this.outputShape=e,this.userCode=` void main() { ivec2 coords = getOutputCoords(); int batch = coords[0]; @@ -4630,7 +4624,7 @@ return a / b;`,Tne=` setOutput(float(i1)); } } - `}},use=class{constructor(e){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"k",type:"int"}],this.outputShape=e,this.userCode=` + `}},Nse=class{constructor(e){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"k",type:"int"}],this.outputShape=e,this.userCode=` void main() { // Takes max of indices (0, k), (1, k + 1), (2, k + 2) ... ivec2 coords = getOutputCoords(); @@ -4664,7 +4658,7 @@ return a / b;`,Tne=` setOutput(x0 >= x1 ? float(i0) : float(i1)); } - `}};function Ls(e,t){t!==null&&e.disposeIntermediateTensorInfo(t)}function _I(e){let t=1;for(;tl){let A=n.readSync(r.dataId),[R,F]=TZ(A,u,r.dtype,s,i);return[n.makeTensorInfo(R.shape,R.dtype,R.values),n.makeTensorInfo(F.shape,F.dtype,F.values)]}if(s===0)return u[u.length-1]=0,[n.makeTensorInfo(u,r.dtype,[]),n.makeTensorInfo(u,"int32",[])];if(p===1)return[r,pd({attrs:{shape:u,dtype:"int32",value:0},backend:n})];let d=n.texData.get(r.dataId),c=d!==null&&d.isPacked,h=c?n.unpackTensor(r):r,m=v.sizeFromShape(u)/p,f=de({inputs:{x:h},attrs:{shape:[m,p]},backend:n});c&&Ls(n,h);let g=_I(s),b=_I(p),y=null,x=()=>y===null?[f,f]:[f,y],w=(A,R,F)=>{let S=x(),M=new lse(F),W=[[p],[y===null?1:0],[Number.NEGATIVE_INFINITY],[A],[R]],U=y;y=n.runWebGLProgram(M,S,"int32",W),Ls(n,U)};for(let A=1;A=1;F/=2)w(R,F,[m,b])}for(let A=b;A>g;A/=2){let R=x(),F=new use([m,A/2]),S=[[p],[y===null?1:0],[g]],M=y;y=n.runWebGLProgram(F,R,"int32",S),Ls(n,M);let W=g/2,U=W*2;for(let G=W;G>=1;G/=2)w(U,G,y.shape)}let I=y;y=ep({inputs:{x:y},backend:n,attrs:{begin:0,size:[m,s]}}),Ls(n,I);let T=wE({inputs:{x:f,indices:y},backend:n,attrs:{axis:1,batchDims:1}});Ls(n,f);let C=u.slice(0,-1);C.push(s),I=y,y=de({inputs:{x:y},attrs:{shape:C},backend:n}),Ls(n,I);let E=T;return T=de({inputs:{x:T},attrs:{shape:C},backend:n}),Ls(n,E),[T,y]}var cse={kernelName:Au,backendName:"webgl",kernelFunc:pse},dse=class{constructor(e,t,n,a,r,s){this.variableNames=["Image","Transforms"],this.outputShape=s;let i=n==="nearest"?1:2,o;switch(a){case"constant":o=1;break;case"reflect":o=2;break;case"wrap":o=3;break;case"nearest":o=4;break;default:o=1;break}this.userCode=` + `}};function Ls(e,t){t!==null&&e.disposeIntermediateTensorInfo(t)}function MI(e){let t=1;for(;tl){let A=n.readSync(r.dataId),[R,F]=W7(A,u,r.dtype,s,i);return[n.makeTensorInfo(R.shape,R.dtype,R.values),n.makeTensorInfo(F.shape,F.dtype,F.values)]}if(s===0)return u[u.length-1]=0,[n.makeTensorInfo(u,r.dtype,[]),n.makeTensorInfo(u,"int32",[])];if(p===1)return[r,cd({attrs:{shape:u,dtype:"int32",value:0},backend:n})];let d=n.texData.get(r.dataId),c=d!==null&&d.isPacked,h=c?n.unpackTensor(r):r,m=v.sizeFromShape(u)/p,f=de({inputs:{x:h},attrs:{shape:[m,p]},backend:n});c&&Ls(n,h);let g=MI(s),b=MI(p),y=null,x=()=>y===null?[f,f]:[f,y],w=(A,R,F)=>{let S=x(),M=new Tse(F),B=[[p],[y===null?1:0],[Number.NEGATIVE_INFINITY],[A],[R]],U=y;y=n.runWebGLProgram(M,S,"int32",B),Ls(n,U)};for(let A=1;A=1;F/=2)w(R,F,[m,b])}for(let A=b;A>g;A/=2){let R=x(),F=new Nse([m,A/2]),S=[[p],[y===null?1:0],[g]],M=y;y=n.runWebGLProgram(F,R,"int32",S),Ls(n,M);let B=g/2,U=B*2;for(let G=B;G>=1;G/=2)w(U,G,y.shape)}let I=y;y=np({inputs:{x:y},backend:n,attrs:{begin:0,size:[m,s]}}),Ls(n,I);let T=EE({inputs:{x:f,indices:y},backend:n,attrs:{axis:1,batchDims:1}});Ls(n,f);let C=u.slice(0,-1);C.push(s),I=y,y=de({inputs:{x:y},attrs:{shape:C},backend:n}),Ls(n,I);let E=T;return T=de({inputs:{x:T},attrs:{shape:C},backend:n}),Ls(n,E),[T,y]}var _se={kernelName:Fu,backendName:"webgl",kernelFunc:Cse},Ese=class{constructor(e,t,n,a,r,s){this.variableNames=["Image","Transforms"],this.outputShape=s;let i=n==="nearest"?1:2,o;switch(a){case"constant":o=1;break;case"reflect":o=2;break;case"wrap":o=3;break;case"nearest":o=4;break;default:o=1;break}this.userCode=` float mapCoord(float outCoord, float len) { float inCoord = outCoord; if(${o} == 2) { @@ -4776,7 +4770,7 @@ return a / b;`,Tne=` } setOutput(outputValue); } - `}};function hse(e){let{inputs:t,backend:n,attrs:a}=e,{image:r,transforms:s}=t,{interpolation:i,fillMode:o,fillValue:l,outputShape:u}=a,[p,d,c,h]=r.shape,[m,f]=u!=null?u:[d,c],g=[p,m,f,h],b=new dse(d,c,i,o,l,g);return n.runWebGLProgram(b,[r,s],"float32")}var mse={kernelName:$u,backendName:"webgl",kernelFunc:hse};function fse(e){let{inputs:t,attrs:n,backend:a}=e,{axis:r}=n,{x:s}=t;Ku(s,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");let i=a.readSync(s.dataId),{outputValues:o,outputShape:l,indices:u}=NZ(i,r,s.shape,s.dtype);return[a.makeTensorInfo(l,s.dtype,o),a.makeTensorInfo([u.length],"int32",u)]}var gse={kernelName:zm,backendName:"webgl",kernelFunc:fse};function bse(e){let{inputs:t,backend:n,attrs:a}=e,{value:r}=t,{axis:s}=a;s<0&&(s+=r.shape.length);let i=r,o=i.shape.length,l=r.shape[s],u=new Array(o-1),p=0;for(let f=0;fn.disposeIntermediateTensorInfo(f)),m}var yse={kernelName:Fu,backendName:"webgl",kernelFunc:bse},xse=class{constructor(e,t){this.variableNames=["x","segmentIds"];let n=e.windowSize,a=e.batchSize,r=e.inSize,s=e.numSegments,i=s*Math.ceil(r/n);this.outputShape=[a,i];let o="0.0",l="sumValue",u=Math.floor(n/4)*4,p=n%4,d=` + `}};function Ase(e){let{inputs:t,backend:n,attrs:a}=e,{image:r,transforms:s}=t,{interpolation:i,fillMode:o,fillValue:l,outputShape:u}=a,[p,d,c,h]=r.shape,[m,f]=u!=null?u:[d,c],g=[p,m,f,h],b=new Ese(d,c,i,o,l,g);return n.runWebGLProgram(b,[r,s],"float32")}var $se={kernelName:Du,backendName:"webgl",kernelFunc:Ase};function Fse(e){let{inputs:t,attrs:n,backend:a}=e,{axis:r}=n,{x:s}=t;Yu(s,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");let i=a.readSync(s.dataId),{outputValues:o,outputShape:l,indices:u}=B7(i,r,s.shape,s.dtype);return[a.makeTensorInfo(l,s.dtype,o),a.makeTensorInfo([u.length],"int32",u)]}var Dse={kernelName:Bm,backendName:"webgl",kernelFunc:Fse};function Rse(e){let{inputs:t,backend:n,attrs:a}=e,{value:r}=t,{axis:s}=a;s<0&&(s+=r.shape.length);let i=r,o=i.shape.length,l=r.shape[s],u=new Array(o-1),p=0;for(let f=0;fn.disposeIntermediateTensorInfo(f)),m}var Mse={kernelName:Ru,backendName:"webgl",kernelFunc:Rse},Pse=class{constructor(e,t){this.variableNames=["x","segmentIds"];let n=e.windowSize,a=e.batchSize,r=e.inSize,s=e.numSegments,i=s*Math.ceil(r/n);this.outputShape=[a,i];let o="0.0",l="sumValue",u=Math.floor(n/4)*4,p=n%4,d=` sumValue += dot(values, segFilter); `,c="";r%n>0&&(c=` if (inIdx < 0 || inIdx >= ${r}) { @@ -4882,6 +4876,6 @@ return a / b;`,Tne=` } setOutput(${l}); } - `}};function vse(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,segmentIds:s}=t,{numSegments:i}=a,o=r.shape.length,l=[],u=0,p=N.getAxesPermutation([u],o),d=r;p!=null&&(d=In({inputs:{x:r},backend:n,attrs:{perm:p}}),l.push(d),u=N.getInnerMostAxes(1,o)[0]);let c=N.segment_util.computeOutShape(d.shape,u,i),h=v.sizeFromShape([d.shape[u]]),m=de({inputs:{x:d},backend:n,attrs:{shape:[-1,h]}});l.push(m);let f=Wm(r.dtype),g=(w,I,T,C,E)=>{let A=w.shape[0],R=w.shape[1],F=N.segment_util.segOpComputeOptimalWindowSize(R,E),S={windowSize:F,inSize:R,batchSize:A,numSegments:E},M=new xse(S,I),W=n.compileAndRun(M,[w,T],C);if(l.push(W),W.shape[1]===E)return W;let U=_E({backend:n,attrs:{start:0,stop:E,step:1,dtype:"float32"}}),G=AE({inputs:{x:U},backend:n,attrs:{reps:[R/F]}});return l.push(U),l.push(G),g(W,I,G,C,E)},b=g(m,"unsortedSegmentSum",s,f,i),y=de({inputs:{x:b},backend:n,attrs:{shape:c}}),x=y;if(p!=null){l.push(y);let w=N.getUndoAxesPermutation(p);x=In({inputs:{x},backend:n,attrs:{perm:w}})}return l.forEach(w=>n.disposeIntermediateTensorInfo(w)),x}var wse={kernelName:Tc,backendName:"webgl",kernelFunc:vse},kse=[xJ,wJ,SJ,CJ,EJ,FJ,RJ,PJ,BJ,VJ,HJ,KJ,ZJ,t9,r9,i9,l9,d9,m9,g9,v9,C9,E9,$9,O9,z9,U9,nJ,j9,Z9,tQ,oQ,uQ,cQ,hQ,fQ,yQ,wQ,SQ,NQ,_Q,AQ,DQ,MQ,zQ,WQ,GQ,qQ,XQ,QQ,aee,oee,pee,hee,mee,gee,yee,vee,kee,See,_ee,$ee,Ree,Pee,zee,Vee,jee,Yee,tJ,Jee,X9,tte,rte,ote,rJ,cte,fte,bte,wte,Ste,_te,$te,Mte,zte,Vte,Gte,Kte,Yte,Jte,nne,rne,ine,lne,pne,mne,yne,kne,Ane,oJ,Rne,One,Bne,Une,D9,jne,Kne,Yne,Qne,aae,iJ,sae,oae,uae,pae,R9,Nne,hae,bae,wae,uJ,Tae,_ae,Fae,Mae,zae,Wae,Gae,qae,Xae,Jae,tre,rre,lre,cre,mre,bre,T9,_ne,vre,kre,Sre,Nre,_re,Are,Fre,Rre,Pre,zre,Wre,Ure,jre,Kre,Yre,Jre,Cne,gJ,tse,rse,ose,cse,mse,bJ,gse,yse,wse,qne];for(let e of kse)Nc(e);var Et;(function(e){e[e.float32=0]="float32",e[e.int32=1]="int32",e[e.bool=2]="bool",e[e.string=3]="string",e[e.complex64=4]="complex64"})(Et||(Et={}));var oc;(function(e){e[e.linear=0]="linear",e[e.relu=1]="relu",e[e.relu6=2]="relu6",e[e.prelu=3]="prelu",e[e.leakyrelu=4]="leakyrelu",e[e.sigmoid=5]="sigmoid",e[e.elu=6]="elu"})(oc||(oc={}));var $E;function Ise(e){$E=e.wasm.cwrap(Qs,null,["number","array","number","number","array","number","number","number","number","number","number","number","number"])}function Sse(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s,bias:i,preluActivationWeights:o}=t;if(r.dtype!=="float32"||s.dtype!=="float32")throw new Error("_FusedMatMul for non non-float32 tensors not yet supported.");let{transposeA:l,transposeB:u,activation:p,leakyreluAlpha:d}=a,c=n.dataIdMap.get(r.dataId).id,h=n.dataIdMap.get(s.dataId).id,m=0;if(i!=null){let E=n.dataIdMap.get(i.dataId);if(E.shape.length!==1)throw new Error(`_FusedMatMul only supports rank-1 bias but got rank ${E.shape.length}.`);m=E.id}let f=o==null?0:n.dataIdMap.get(o.dataId).id,g=oc[p];if(g==null)throw new Error(`${p} activation not yet supported for FusedConv2D in the wasm backend.`);let b=l?r.shape[2]:r.shape[1],y=u?s.shape[1]:s.shape[2],x=Mu.assertAndGetBroadcastShape(r.shape.slice(0,-2),s.shape.slice(0,-2)),w=n.makeOutput([...x,b,y],r.dtype),I=n.dataIdMap.get(w.dataId).id,T=new Uint8Array(new Int32Array(r.shape).buffer),C=new Uint8Array(new Int32Array(s.shape).buffer);return $E(c,T,r.shape.length,h,C,s.shape.length,l,u,g,m,f,d||0,I),w}var Tse={kernelName:Qs,backendName:"wasm",setupFunc:Ise,kernelFunc:Sse};function nn(e,t){let n;function a(s){n=s.wasm.cwrap(e,null,["number","number","number"])}function r(s){let{backend:i,inputs:{x:o}}=s,l=i.dataIdMap.get(o.dataId).id,u=i.makeOutput(o.shape,t||o.dtype),p=i.dataIdMap.get(u.dataId).id;return v.sizeFromShape(u.shape)===0||n(l,Et[o.dtype],p),u}return{kernelName:e,backendName:"wasm",setupFunc:a,kernelFunc:r}}var Nse=nn($l);function cn(e,t,n){let a;function r(i){a=i.wasm.cwrap(e,null,["number","array","number","number","array","number","number","number"])}function s(i){let{backend:o,inputs:l}=i,{a:u,b:p}=l,d=o.dataIdMap.get(u.dataId).id,c=o.dataIdMap.get(p.dataId).id,h=n!=null?n:u.dtype,m=N.assertAndGetBroadcastShape(u.shape,p.shape),f=o.makeOutput(m,h);if(v.sizeFromShape(m)===0)return f;let g=new Uint8Array(new Int32Array(u.shape).buffer),b=new Uint8Array(new Int32Array(p.shape).buffer),y=o.dataIdMap.get(f.dataId).id;return a(d,g,u.shape.length,c,b,p.shape.length,Et[u.dtype],y),f}return{kernelName:e,backendName:"wasm",setupFunc:r,kernelFunc:s}}var Cse=!0,_se=cn(fs,Cse),FE;function Ese(e){FE=e.wasm.cwrap(fi,null,["array","number","number","number"])}function Ase(e){let{inputs:t,backend:n}=e,a=n.makeOutput(t[0].shape,t[0].dtype);if(v.sizeFromShape(a.shape)===0)return a;let r=t.map(o=>n.dataIdMap.get(o.dataId).id),s=new Uint8Array(new Int32Array(r).buffer),i=n.dataIdMap.get(a.dataId).id;return FE(s,r.length,Et[a.dtype],i),a}var $se={kernelName:fi,backendName:"wasm",setupFunc:Ese,kernelFunc:Ase};function Zf(e){let{inputs:{x:t},backend:n}=e,a=n.makeOutput(t.shape,t.dtype),r=n.typedArrayFromHeap(t);return n.typedArrayFromHeap(a).set(r),a}var Fse={kernelName:Ri,backendName:"wasm",kernelFunc:Zf},DE;function Dse(e){DE=e.wasm.cwrap(_r,null,["number","array","number","number","number","array","number"])}function ds(e){let{inputs:t,backend:n,attrs:a}=e,[r,s]=Mse(t.x.shape,a.perm),i=!0;for(let m=0;m=r&&(s===-1||a[s]>a[i])&&(s=i);a[s]=r}return[n,a]}var Pse={kernelName:_r,backendName:"wasm",kernelFunc:ds,setupFunc:Dse};function Es(e,t,n){let a=e.shape,r=e.shape.length,s=v.parseAxisParam(t,a),i=s,o=N.getAxesPermutation(i,r),l=null,u=!1;if(o!=null){let p=new Array(r);for(let c=0;c`new shape: ${i}, old shape: ${a.shape}. New shape and old shape must have the same number of elements.`),e.backend.incRef(a.dataId),{dataId:a.dataId,shape:i,dtype:a.dtype}}var Xse={kernelName:yu,backendName:"wasm",kernelFunc:zn},LE;function Yse(e){LE=e.wasm.cwrap(yi,null,["number","array","number","number","array","number","number","number","number"])}function Zse(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s}=t,{transposeA:i,transposeB:o}=a;if(r.dtype!=="float32"||s.dtype!=="float32")throw new Error("BatchMatMul for non non-float32 tensors not yet supported.");let l=r.shape.length,u=s.shape.length,p=i?r.shape[l-2]:r.shape[l-1],d=o?s.shape[u-1]:s.shape[u-2],c=i?r.shape[l-1]:r.shape[l-2],h=o?s.shape[u-2]:s.shape[u-1],m=r.shape.slice(0,-2),f=s.shape.slice(0,-2),g=v.sizeFromShape(m),b=v.sizeFromShape(f),y=Mu.assertAndGetBroadcastShape(r.shape.slice(0,-2),s.shape.slice(0,-2)).concat([c,h]);v.assert(p===d,()=>`Error in matMul: inner shapes (${p}) and (${d}) of Tensors with shapes ${r.shape} and ${s.shape} and transposeA=${i} and transposeB=${o} must match.`);let x=i?[g,p,c]:[g,c,p],w=o?[b,h,d]:[b,d,h],I=zn({inputs:{x:r},backend:n,attrs:{shape:x}}),T=zn({inputs:{x:s},backend:n,attrs:{shape:w}}),C=n.dataIdMap.get(I.dataId).id,E=n.dataIdMap.get(T.dataId).id,A=i?I.shape[2]:I.shape[1],R=o?T.shape[1]:T.shape[2],F=Math.max(g,b),S=n.makeOutput([F,A,R],I.dtype),M=n.dataIdMap.get(S.dataId).id,W=new Uint8Array(new Int32Array(I.shape).buffer),U=new Uint8Array(new Int32Array(T.shape).buffer);return LE(C,W,I.shape.length,E,U,T.shape.length,i,o,M),n.disposeData(I.dataId),n.disposeData(T.dataId),S.shape=y,S}var Jse={kernelName:yi,backendName:"wasm",setupFunc:Yse,kernelFunc:Zse};function hi(e){let{inputs:{x:t},attrs:{begin:n,size:a},backend:r}=e,[s,i]=jt.parseSliceParams(t,n,a),o=jt.isSliceContinous(t.shape,s,i),l=r.readSync(t.dataId),u=r.makeOutput(i,t.dtype),p=v.computeStrides(t.shape),d=r.dataIdMap.get(u.dataId);if(o){let m=jt.computeFlatOffset(s,p);return t.dtype==="string"?d.stringBytes=l.slice(m,m+v.sizeFromShape(i)):r.typedArrayFromHeap(u).set(l.subarray(m,m+v.sizeFromShape(i))),u}if(t.dtype==="string"){let m=Zh(l,s,i,t.shape,t.dtype);return d.stringBytes=m,u}let c=r.typedArrayFromHeap(u),h=t.shape.length;if(h===2)Qse(l,p[0],c,s,i);else if(h===3)eie(l,p[0],p[1],c,s,i);else if(h===4)tie(l,p[0],p[1],p[2],c,s,i);else{let m=Zh(l,s,i,t.shape,t.dtype);c.set(m)}return u}function Qse(e,t,n,a,r){let s=0,i=a[0],o=a[1],l=i+r[0];for(let u=i;ub*y),l=N.getReshaped(r.shape,s,o),u=N.getPermuted(l.length,s.length),p=N.getReshapedPermuted(r.shape,s,o),d=N.getSliceBeginCoords(i,s.length),c=N.getSliceSize(p,i,s.length),h=zn({inputs:{x:r},backend:n,attrs:{shape:l}}),m=ds({inputs:{x:h},backend:n,attrs:{perm:u}}),f=zn({inputs:{x:m},backend:n,attrs:{shape:p}}),g=hi({inputs:{x:f},backend:n,attrs:{begin:d,size:c}});return n.disposeData(h.dataId),n.disposeData(m.dataId),n.disposeData(h.dataId),g}var rie={kernelName:Wl,backendName:"wasm",kernelFunc:aie};function tp(e){let{inputs:{x:t},attrs:{dtype:n},backend:a}=e,r=a.makeOutput(t.shape,n),s=a.typedArrayFromHeap(t);return a.typedArrayFromHeap(r).set(s),r}var sie={kernelName:xi,backendName:"wasm",kernelFunc:tp},iie=nn(vi),zE;function oie(e){zE=e.wasm.cwrap(gs,null,["number","number","number","number"])}function lie(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{clipValueMin:s,clipValueMax:i}=a,o=n.dataIdMap.get(r.dataId).id,l=n.makeOutput(r.shape,r.dtype),u=n.dataIdMap.get(l.dataId).id;return zE(o,s,i,u),l}var uie={kernelName:gs,backendName:"wasm",setupFunc:oie,kernelFunc:lie};function BE(e){let{inputs:t,backend:n}=e,a=v.parseAxisParam(e.attrs.axis,t[0].shape)[0],r=t.map(h=>h.shape);N.assertParamsConsistent(r,a);let s=N.computeOutShape(t.map(h=>h.shape),a),i=t.filter(h=>v.sizeFromShape(h.shape)>0);if(i.length===1)return Zf({inputs:{x:i[0]},backend:n});let o=n.makeOutput(s,t[0].dtype);if(v.sizeFromShape(s)===0)return o;if(i[0].dtype==="string"){let h=i.map(x=>{let w=v.sizeFromShape(x.shape.slice(a));return zn({inputs:{x},backend:n,attrs:{shape:[-1,w]}})}),m=h.map(x=>({vals:n.readSync(x.dataId),shape:x.shape}));s=N.computeOutShape(h.map(x=>x.shape),1);let f=h[0].shape[0]===1,g=D0(m,s,t[0].dtype,f),b=N.computeOutShape(i.map(x=>x.shape),a);o.shape=b;let y=n.dataIdMap.get(o.dataId);return y.stringBytes=N.fromStringArrayToUint8(g),h.forEach(x=>n.disposeData(x.dataId)),o}let l=v.sizeFromShape(i[0].shape.slice(0,a)),u=0,p=i.map(h=>{let m=v.sizeFromShape(h.shape.slice(a));return u+=m,m}),d=i.map(h=>n.typedArrayFromHeap(h)),c=n.typedArrayFromHeap(o);for(let h=0;h`cumprod does not support ${r.dtype} tensors in the WASM backend`);let u=N.getAxesPermutation([s],l),p=r;u!==null&&(p=ds({inputs:{x:r},attrs:{perm:u},backend:n}));let d=N.getInnerMostAxes(1,l)[0];N.assertAxesAreInnerMostDims("cumprod",[d],l);let c=n.makeOutput(p.shape,p.dtype),h=p.shape[d],m=n.dataIdMap.get(p.dataId).id,f=n.dataIdMap.get(c.dataId).id;GE(m,i?1:0,o?1:0,h,f,Et[r.dtype]);let g=c;if(u!==null){let b=N.getUndoAxesPermutation(u);g=ds({inputs:{x:c},attrs:{perm:b},backend:n}),n.disposeData(p.dataId),n.disposeData(c.dataId)}return g}var Sie={kernelName:Ul,backendName:"wasm",setupFunc:kie,kernelFunc:Iie},HE;function Tie(e){HE=e.wasm.cwrap(Ti,null,["number","number","number","number","number","number"])}function Nie(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=a,l=r.shape.length;v.assert(r.dtype==="float32"||r.dtype==="int32",()=>`cumsum does not support ${r.dtype} tensors in the WASM backend`);let u=N.getAxesPermutation([s],l),p=r;u!==null&&(p=ds({inputs:{x:r},attrs:{perm:u},backend:n}));let d=N.getInnerMostAxes(1,l)[0];N.assertAxesAreInnerMostDims("cumsum",[d],l);let c=n.makeOutput(p.shape,p.dtype),h=p.shape[d],m=n.dataIdMap.get(p.dataId).id,f=n.dataIdMap.get(c.dataId).id;HE(m,i?1:0,o?1:0,h,f,Et[r.dtype]);let g=c;if(u!==null){let b=N.getUndoAxesPermutation(u);g=ds({inputs:{x:c},attrs:{perm:b},backend:n}),n.disposeData(p.dataId),n.disposeData(c.dataId)}return g}var Cie={kernelName:Ti,backendName:"wasm",setupFunc:Tie,kernelFunc:Nie},jE;function _ie(e){jE=e.wasm.cwrap(Hl,null,["number","number","number","array","number","array","array","number","number"])}function Eie(e){let{backend:t,inputs:n,attrs:a}=e,{x:r}=n,{blockSize:s,dataFormat:i}=a,o=r.shape[0],l=i==="NHWC"?r.shape[1]:r.shape[2],u=i==="NHWC"?r.shape[2]:r.shape[3],p=i==="NHWC"?r.shape[3]:r.shape[1],d=l*s,c=u*s,h=p/(s*s),m=i==="NHWC"?[o,d,c,h]:[o,h,d,c],f=t.makeOutput(m,"float32"),g=t.dataIdMap.get(r.dataId).id,b=new Uint8Array(new Int32Array(v.computeStrides(r.shape)).buffer),y=new Uint8Array(new Int32Array(m).buffer),x=new Uint8Array(new Int32Array(v.computeStrides(m)).buffer),w=t.dataIdMap.get(f.dataId).id;return jE(g,s,i==="NHWC"?1:0,b,r.shape.length-1,y,x,m.length,w),f}var Aie={kernelName:Hl,backendName:"wasm",setupFunc:_ie,kernelFunc:Eie},qE;function $ie(e){qE=e.wasm.cwrap(Ni,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function Fie(e){let{inputs:t,attrs:n,backend:a}=e,{x:r,filter:s}=t,i=a.dataIdMap.get(r.dataId).id,o=a.dataIdMap.get(s.dataId).id,{strides:l,dilations:u,pad:p,dimRoundingMode:d}=n,c=u==null?[1,1]:u,h=N.computeConv2DInfo(r.shape,s.shape,l,c,p,d,!0),m=h.filterHeight,f=h.filterWidth,g=h.padInfo.top,b=h.padInfo.right,y=h.padInfo.bottom,x=h.padInfo.left,w=h.dilationHeight,I=h.dilationWidth,T=h.strideHeight,C=h.strideWidth,E=h.inChannels,A=h.outChannels,R=h.padInfo.type==="SAME"?1:0;if(h.dataFormat!=="channelsLast")throw new Error(`wasm backend DepthwiseConv2dNative does not support dataFormat:'${h.dataFormat}'. Please use 'channelsLast'.`);let F=a.makeOutput(h.outShape,"float32"),S=a.dataIdMap.get(F.dataId).id;return qE(i,r.shape[0],r.shape[1],r.shape[2],o,m,f,g,b,y,x,R,w,I,T,C,E,A,S),F}var Die={kernelName:Ni,backendName:"wasm",setupFunc:$ie,kernelFunc:Fie},Rie=nn(_i),Mie=!1,Pie=cn(ql,Mie,"bool"),Oie=nn(Ei,"float32");function vx(e){let{inputs:t,attrs:n,backend:a}=e,{input:r}=t,{dim:s}=n,i=r.shape.length,o=r.shape.slice(),l=s;return s<0&&(v.assert(-(i+1)<=s,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),l=i+s+1),o.splice(l,0,1),zn({inputs:{x:r},backend:a,attrs:{shape:o}})}var Lie={kernelName:Kl,backendName:"wasm",kernelFunc:vx};function KE(e){let{attrs:{shape:t,value:n,dtype:a},backend:r}=e,s=r.makeOutput(t,a);return r.typedArrayFromHeap(s).fill(n),s}var zie={kernelName:mc,backendName:"wasm",kernelFunc:KE},XE;function Bie(e){XE=e.wasm.cwrap(Yl,null,["number","number","number","number","number","number"])}function Wie(e){let{inputs:t,backend:n}=e,{image:a}=t,r=n.makeOutput(a.shape,a.dtype),s=n.dataIdMap.get(a.dataId).id,i=n.dataIdMap.get(r.dataId).id,[o,l,u,p]=a.shape;return XE(s,o,l,u,p,i),r}var Vie={kernelName:Yl,backendName:"wasm",kernelFunc:Wie,setupFunc:Bie},Uie=nn(Ai),Gie=!1,Hie=cn($i,Gie),YE;function jie(e){YE=e.wasm.cwrap(Fi,null,["number","number","number","number","number","number","number"])}function qie(e){let{backend:t,inputs:n,attrs:a}=e,{varianceEpsilon:r}=a,{x:s,mean:i,variance:o,offset:l,scale:u}=n,p=t.dataIdMap.get(s.dataId).id,d=t.dataIdMap.get(i.dataId).id,c=t.dataIdMap.get(o.dataId).id,h=l!=null?t.dataIdMap.get(l.dataId).id:0,m=u!=null?t.dataIdMap.get(u.dataId).id:0,f=t.makeOutput(s.shape,s.dtype);if(v.sizeFromShape(s.shape)===0)return f;let g=t.dataIdMap.get(f.dataId).id;return YE(p,d,c,h,m,r,g),f}var Kie={kernelName:Fi,backendName:"wasm",setupFunc:jie,kernelFunc:qie},ZE;function Xie(e){ZE=e.wasm.cwrap(ei,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function Yie(e){let{inputs:t,attrs:n,backend:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dilations:p,dataFormat:d,dimRoundingMode:c,activation:h,leakyreluAlpha:m}=n,f=N.computeConv2DInfo(r.shape,s.shape,l,p,u,c),g=oc[h];if(g==null)throw new Error(`${h} activation not yet supported for FusedConv2D in the wasm backend.`);let b=a.dataIdMap.get(r.dataId).id,y=a.dataIdMap.get(s.dataId).id,x=f.outChannels,w=0;if(i!=null){let te=a.dataIdMap.get(i.dataId);if(te.shape.length!==1)throw new Error(`FusedConv2D only supports rank-1 bias but got rank ${te.shape.length}.`);if(te.shape[0]!==x)throw new Error(`FusedConv2D bias shape (${te.shape}) does not match the number of output channels (${x})`);w=te.id}let I=f.filterHeight,T=f.filterWidth,C=f.padInfo.top,E=f.padInfo.right,A=f.padInfo.bottom,R=f.padInfo.left,F=f.dilationHeight,S=f.dilationWidth,M=f.strideHeight,W=f.strideWidth,U=f.inChannels,G=f.padInfo.type==="SAME"?1:0,q=f.batchSize,K=f.inHeight,Z=f.inWidth;if(d!=="NHWC")throw new Error(`wasm backend FusedConv2D does not support dataFormat:'${d}'. Please use 'NHWC'.`);let Q=a.makeOutput(f.outShape,"float32"),ee=a.dataIdMap.get(Q.dataId).id,ae=o==null?0:a.dataIdMap.get(o.dataId).id;return ZE(b,q,K,Z,y,I,T,w,C,E,A,R,G,F,S,M,W,U,x,g,ae,m||0,ee),Q}var Zie={kernelName:ei,backendName:"wasm",setupFunc:Xie,kernelFunc:Yie},JE;function Jie(e){JE=e.wasm.cwrap(ti,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function Qie(e){let{inputs:t,attrs:n,backend:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dilations:p,dataFormat:d,dimRoundingMode:c,activation:h,leakyreluAlpha:m}=n,f=N.computeConv2DInfo(r.shape,s.shape,l,p,u,c,!0),g=oc[h];if(g==null)throw new Error(`${h} activation not yet supported for FusedDepthwiseConv2D in the wasm backend.`);let b=a.dataIdMap.get(r.dataId).id,y=a.dataIdMap.get(s.dataId).id,x=f.outChannels,w=0;if(i!=null){let te=a.dataIdMap.get(i.dataId);if(te.shape.length!==1)throw new Error(`FusedDepthwiseConv2D only supports rank-1 bias but got rank ${te.shape.length}.`);if(te.shape[0]!==x)throw new Error(`FusedDepthwiseConv2D bias shape (${te.shape}) does not match the number of output channels (${x})`);w=te.id}let I=f.filterHeight,T=f.filterWidth,C=f.padInfo.top,E=f.padInfo.right,A=f.padInfo.bottom,R=f.padInfo.left,F=f.dilationHeight,S=f.dilationWidth,M=f.strideHeight,W=f.strideWidth,U=f.inChannels,G=f.padInfo.type==="SAME"?1:0,q=f.batchSize,K=f.inHeight,Z=f.inWidth;if(d!=="NHWC")throw new Error(`wasm backend FusedDepthwiseConv2D does not support dataFormat:'${d}'. Please use 'NHWC'.`);let Q=a.makeOutput(f.outShape,"float32"),ee=a.dataIdMap.get(Q.dataId).id,ae=o==null?0:a.dataIdMap.get(o.dataId).id;return JE(b,q,K,Z,y,I,T,w,C,E,A,R,G,F,S,M,W,U,x,g,ae,m||0,ee),Q}var eoe={kernelName:ti,backendName:"wasm",setupFunc:Jie,kernelFunc:Qie},QE;function toe(e){QE=e.wasm.cwrap(Jl,null,["number","number","number","number","number","number","array","number"])}function noe(e){let{backend:t,inputs:n}=e,{params:a,indices:r}=n,[s,i,o,l]=Wx.prepareAndValidate(a,r),u=t.makeOutput(s,a.dtype);if(i===0)return u;let p=r.shape,d=p[p.length-1],c=t.dataIdMap.get(a.dataId).id,h=t.dataIdMap.get(r.dataId).id,m=new Uint8Array(new Int32Array(l).buffer),f=t.dataIdMap.get(u.dataId).id;return QE(c,Et[a.dtype],h,i,d,o,m,f),u}var aoe={kernelName:Jl,backendName:"wasm",setupFunc:toe,kernelFunc:noe},eA;function roe(e){eA=e.wasm.cwrap("Gather",null,["number","number","array","number","number","number","array","number"])}function soe(e){let{backend:t,inputs:n,attrs:a}=e,{x:r,indices:s}=n,{axis:i,batchDims:o}=a,l=v.parseAxisParam(i,r.shape)[0],u=t.readSync(s.dataId),p=r.shape[l];for(let C=0;C=0,()=>`GatherV2: the index value ${E} is not in [0, ${p-1}]`)}let d=N.segment_util.collectGatherOpShapeInfo(r,s,l,o),c=zn({inputs:{x:r},attrs:{shape:[d.batchSize,d.outerSize,d.dimSize,d.sliceSize]},backend:t}),h=v.sizeFromShape(s.shape),m=zn({inputs:{x:s},attrs:{shape:[d.batchSize,h/d.batchSize]},backend:t}),f=[d.batchSize,d.outerSize,h/d.batchSize,d.sliceSize],g=t.makeOutput(f,r.dtype);if(v.sizeFromShape(r.shape)===0)return g;let b=c.shape.length-1,y=t.dataIdMap.get(c.dataId).id,x=t.dataIdMap.get(m.dataId).id,w=t.dataIdMap.get(g.dataId).id,I=new Uint8Array(new Int32Array(v.computeStrides(c.shape)).buffer),T=new Uint8Array(new Int32Array(v.computeStrides(f)).buffer);return eA(y,Et[r.dtype],I,b,x,d.batchSize,T,w),t.disposeData(c.dataId),t.disposeData(m.dataId),g.shape=d.outputShape,g}var ioe={kernelName:Zl,backendName:"wasm",setupFunc:roe,kernelFunc:soe},ooe=!1,loe=cn(Ql,ooe,"bool"),uoe=!1,poe=cn(Di,uoe,"bool"),tA;function coe(e){tA=e.wasm.cwrap(Mi,null,["number","number","number","number"])}function doe(e){let{inputs:{x:t},attrs:{alpha:n},backend:a}=e,r=a.dataIdMap.get(t.dataId).id,s=a.makeOutput(t.shape,"float32");if(v.sizeFromShape(t.shape)!==0){let i=a.dataIdMap.get(s.dataId).id;tA(r,Et[t.dtype],n,i)}return s}var hoe={kernelName:Mi,backendName:"wasm",setupFunc:coe,kernelFunc:doe},moe=!1,foe=cn(au,moe,"bool"),goe=!1,boe=cn(ru,goe,"bool"),yoe=nn(Pi),xoe=!1,voe=cn(iu,xoe,"bool"),woe=nn(ou),koe=!1,Ioe=cn(lu,koe,"bool"),Soe=!1,Toe=cn(KI,Soe,"bool"),nA;function Noe(e){nA=e.wasm.cwrap(Oi,null,["number","number","number","number"])}function Coe(e){let{backend:t,inputs:n,attrs:a}=e,{reductionIndices:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=i,{transposed:u,axes:p,originalAxes:d,inputWasTransposed:c}=Es(i,r,t);if(c){let y=t.dataIdMap.get(u.dataId).id;l=u,o=y}let h=l.shape.length;N.assertAxesAreInnerMostDims("max",p,h);let[m,f]=N.computeOutAndReduceShapes(l.shape,p),g=v.sizeFromShape(f),b=t.makeOutput(m,i.dtype);if(v.sizeFromShape(l.shape)!==0){let y=t.dataIdMap.get(b.dataId).id;nA(o,Et[i.dtype],g,y)}if(c&&t.disposeData(u.dataId),s){let y=N.expandShapeToKeepDim(b.shape,d);b.shape=y}return b}var _oe={kernelName:Oi,backendName:"wasm",setupFunc:Noe,kernelFunc:Coe},Eoe=!1,Aoe=cn(Li,Eoe),aA;function $oe(e){aA=e.wasm.cwrap(zi,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function Foe(e){let{inputs:t,attrs:n,backend:a}=e,r=t.x,s=a.dataIdMap.get(r.dataId).id;v.assert(r.dtype==="float32",()=>`Error in MaxPool: only float32 input is supported. Got ${r.dtype}.`);let{filterSize:i,strides:o,pad:l,dimRoundingMode:u}=n,p=N.computePool2DInfo(r.shape,i,o,1,l,u),d=p.filterHeight,c=p.filterWidth,h=p.padInfo.top,m=p.padInfo.right,f=p.padInfo.bottom,g=p.padInfo.left,b=p.dilationHeight,y=p.dilationWidth,x=p.strideHeight,w=p.strideWidth,I=p.inChannels,T=p.outChannels;if(p.dataFormat!=="channelsLast")throw new Error(`wasm backend does not support dataFormat:'${p.dataFormat}'. Please use 'channelsLast'.`);let C=a.makeOutput(p.outShape,"float32"),E=a.dataIdMap.get(C.dataId).id;return aA(s,r.shape[0],r.shape[1],r.shape[2],d,c,h,m,f,g,b,y,x,w,I,T,E),C}var Doe={kernelName:zi,backendName:"wasm",setupFunc:$oe,kernelFunc:Foe},rA;function Roe(e){rA=e.wasm.cwrap(Bi,null,["number, number, number"])}function Moe(e){let{backend:t,inputs:n,attrs:a}=e,{axis:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:d,originalAxes:c,inputWasTransposed:h}=Es(i,r,t),m=d;if(h){let w=t.dataIdMap.get(p.dataId).id;w!==o&&(u=p,l=w,m=N.getInnerMostAxes(m.length,u.shape.length))}N.assertAxesAreInnerMostDims("mean",m,u.shape.length);let[f,g]=N.computeOutAndReduceShapes(u.shape,m),b=v.sizeFromShape(g),y=u;u.dtype!=="float32"&&(y=tp({backend:t,inputs:{x:u},attrs:{dtype:"float32"}}),l=t.dataIdMap.get(y.dataId).id);let x=t.makeOutput(f,"float32");if(v.sizeFromShape(u.shape)!==0){let w=t.dataIdMap.get(x.dataId).id;rA(l,b,w)}if(h&&t.disposeData(p.dataId),s){let w=N.expandShapeToKeepDim(x.shape,c);x.shape=w}return u.dtype!=="float32"&&t.disposeData(y.dataId),x}var Poe={kernelName:Bi,backendName:"wasm",setupFunc:Roe,kernelFunc:Moe},sA;function Ooe(e){sA=e.wasm.cwrap(Wi,null,["number","number","number","number"])}function Loe(e){let{backend:t,inputs:n,attrs:a}=e,{axis:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:d,originalAxes:c,inputWasTransposed:h}=Es(i,r,t);if(h){let x=t.dataIdMap.get(p.dataId).id;x!==o&&(u=p,l=x)}let m=u.shape.length;N.assertAxesAreInnerMostDims("min",d,m);let[f,g]=N.computeOutAndReduceShapes(u.shape,d),b=v.sizeFromShape(g),y=t.makeOutput(f,u.dtype);if(v.sizeFromShape(u.shape)!==0){let x=t.dataIdMap.get(y.dataId).id;sA(l,Et[i.dtype],b,x)}if(h&&t.disposeData(p.dataId),s){let x=N.expandShapeToKeepDim(y.shape,c);y.shape=x}return y}var zoe={kernelName:Wi,backendName:"wasm",setupFunc:Ooe,kernelFunc:Loe},Boe=!1,Woe=cn(Vi,Boe),wx;(function(e){e[e.reflect=0]="reflect",e[e.symmetric=1]="symmetric"})(wx||(wx={}));var iA;function Voe(e){iA=e.wasm.cwrap(Ui,null,["number","array","number","number","array","array","number","number"])}function Uoe(e){let{inputs:{x:t},backend:n,attrs:{paddings:a,mode:r}}=e,s=a.map((m,f)=>m[0]+t.shape[f]+m[1]),i=n.dataIdMap.get(t.dataId).id,o=n.makeOutput(s,t.dtype),l=n.dataIdMap.get(o.dataId).id,u=new Uint8Array(new Int32Array(t.shape).buffer),p=a.map(m=>m[0]),d=a.map(m=>m[1]),c=new Uint8Array(new Int32Array(p).buffer),h=new Uint8Array(new Int32Array(d).buffer);return iA(i,u,t.shape.length,Et[t.dtype],c,h,wx[r],l),o}var Goe={kernelName:Ui,backendName:"wasm",kernelFunc:Uoe,setupFunc:Voe},Hoe=!0,joe=cn(Gi,Hoe),qoe=nn(pu);function s1(e,t){let n=new Int32Array(e.wasm.HEAPU8.buffer,t,4),a=n[0],r=n[1],s=n[2],i=n[3];return e.wasm._free(t),{pSelectedIndices:a,selectedSize:r,pSelectedScores:s,pValidOutputs:i}}var oA;function Koe(e){oA=e.wasm.cwrap(du,"number",["number","number","number","number","number"])}function Xoe(e){let{backend:t,inputs:n,attrs:a}=e,{iouThreshold:r,maxOutputSize:s,scoreThreshold:i}=a,{boxes:o,scores:l}=n,u=t.dataIdMap.get(o.dataId).id,p=t.dataIdMap.get(l.dataId).id,d=oA(u,p,s,r,i),{pSelectedIndices:c,selectedSize:h,pSelectedScores:m,pValidOutputs:f}=s1(t,d);return t.wasm._free(m),t.wasm._free(f),t.makeOutput([h],"int32",c)}var Yoe={kernelName:du,backendName:"wasm",setupFunc:Koe,kernelFunc:Xoe},lA;function Zoe(e){lA=e.wasm.cwrap(hu,"number",["number","number","number","number","number","bool"])}function Joe(e){let{backend:t,inputs:n,attrs:a}=e,{iouThreshold:r,maxOutputSize:s,scoreThreshold:i,padToMaxOutputSize:o}=a,{boxes:l,scores:u}=n,p=t.dataIdMap.get(l.dataId).id,d=t.dataIdMap.get(u.dataId).id,c=lA(p,d,s,r,i,o),{pSelectedIndices:h,selectedSize:m,pSelectedScores:f,pValidOutputs:g}=s1(t,c);t.wasm._free(f);let b=t.makeOutput([m],"int32",h),y=t.makeOutput([],"int32",g);return[b,y]}var Qoe={kernelName:hu,backendName:"wasm",setupFunc:Zoe,kernelFunc:Joe},uA;function ele(e){uA=e.wasm.cwrap(mu,"number",["number","number","number","number","number","number"])}function tle(e){let{backend:t,inputs:n,attrs:a}=e,{iouThreshold:r,maxOutputSize:s,scoreThreshold:i,softNmsSigma:o}=a,{boxes:l,scores:u}=n,p=t.dataIdMap.get(l.dataId).id,d=t.dataIdMap.get(u.dataId).id,c=uA(p,d,s,r,i,o),{pSelectedIndices:h,selectedSize:m,pSelectedScores:f,pValidOutputs:g}=s1(t,c);t.wasm._free(g);let b=t.makeOutput([m],"int32",h),y=t.makeOutput([m],"float32",f);return[b,y]}var nle={kernelName:mu,backendName:"wasm",setupFunc:ele,kernelFunc:tle},ale=!1,rle=cn(cu,ale,"bool"),pA;function sle(e){pA=e.wasm.cwrap(Hi,null,["number","number","number","number","number"])}function ile(e){let{inputs:t,backend:n,attrs:a}=e,{indices:r}=t,{dtype:s,depth:i,onValue:o,offValue:l}=a,u=n.makeOutput([...r.shape,i],s),p=n.dataIdMap.get(u.dataId).id,d=n.dataIdMap.get(r.dataId).id;return pA(d,i,o,l,p),u}var ole={kernelName:Hi,backendName:"wasm",setupFunc:sle,kernelFunc:ile};function lle(e){let{inputs:{x:t},backend:n}=e,a=n.makeOutput(t.shape,t.dtype);return n.typedArrayFromHeap(a).fill(1),a}var ule={kernelName:fu,backendName:"wasm",kernelFunc:lle};function ple(e){let{inputs:t,backend:n,attrs:a}=e,{axis:r}=a;if(t.length===1)return vx({inputs:{input:t[0]},backend:n,attrs:{dim:r}});let s=t[0].shape,i=t[0].dtype;t.forEach(p=>{v.assertShapesMatch(s,p.shape,"All tensors passed to stack must have matching shapes"),v.assert(i===p.dtype,()=>"All tensors passed to stack must have matching dtypes")});let o=[],l=t.map(p=>{let d=vx({inputs:{input:p},backend:n,attrs:{dim:r}});return o.push(d),d}),u=BE({inputs:l,backend:n,attrs:{axis:r}});return o.forEach(p=>n.disposeData(p.dataId)),u}var cle={kernelName:gu,backendName:"wasm",kernelFunc:ple},cA;function dle(e){cA=e.wasm.cwrap(ji,null,["number","array","number","number","array","array","number","number"])}function hle(e){let{inputs:{x:t},backend:n,attrs:{paddings:a,constantValue:r}}=e,s=a.map((m,f)=>m[0]+t.shape[f]+m[1]);if(v.sizeFromShape(t.shape)===0)return KE({backend:n,attrs:{shape:s,value:r,dtype:t.dtype}});let i=n.dataIdMap.get(t.dataId).id,o=n.makeOutput(s,t.dtype),l=n.dataIdMap.get(o.dataId).id,u=new Uint8Array(new Int32Array(t.shape).buffer),p=a.map(m=>m[0]),d=a.map(m=>m[1]),c=new Uint8Array(new Int32Array(p).buffer),h=new Uint8Array(new Int32Array(d).buffer);return cA(i,u,t.shape.length,Et[t.dtype],c,h,r,l),o}var dA={kernelName:ji,backendName:"wasm",kernelFunc:hle,setupFunc:dle},mle=!1,fle=cn(qi,mle),hA;function gle(e){hA=e.wasm.cwrap(Ki,null,["number","number","number"])}function ble(e){let{inputs:t,backend:n}=e,{x:a,alpha:r}=t,s=n.dataIdMap.get(a.dataId).id,i=n.dataIdMap.get(r.dataId).id,o=s,l=a,u=l;l.dtype!=="float32"&&(u=tp({backend:n,inputs:{x:a},attrs:{dtype:"float32"}}),o=n.dataIdMap.get(u.dataId).id);let p=n.makeOutput(a.shape,"float32"),d=n.dataIdMap.get(p.dataId).id;return hA(o,i,d),l.dtype!=="float32"&&n.disposeData(u.dataId),p}var yle={kernelName:Ki,backendName:"wasm",setupFunc:gle,kernelFunc:ble},mA;function xle(e){mA=e.wasm.cwrap(Xi,null,["number","number","number","number"])}function vle(e){let{backend:t,inputs:n,attrs:a}=e,{axis:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:d,originalAxes:c,inputWasTransposed:h}=Es(i,r,t),m=d;if(h){let x=t.dataIdMap.get(p.dataId).id;x!==o&&(u=p,l=x,m=N.getInnerMostAxes(m.length,u.shape.length))}N.assertAxesAreInnerMostDims("prod",m,u.shape.length);let[f,g]=N.computeOutAndReduceShapes(u.shape,m),b=v.sizeFromShape(g),y=t.makeOutput(f,u.dtype);if(v.sizeFromShape(u.shape)!==0){let x=t.dataIdMap.get(y.dataId).id;mA(l,b,Et[y.dtype],x)}if(h&&t.disposeData(p.dataId),s){let x=N.expandShapeToKeepDim(y.shape,c);y.shape=x}return y}var wle={kernelName:Xi,backendName:"wasm",setupFunc:xle,kernelFunc:vle},kle=e=>{let{backend:t,attrs:n}=e,{start:a,stop:r,step:s,dtype:i}=n,o=P0(a,r,s,i),l=t.makeOutput([o.length],i);return t.typedArrayFromHeap(l).set(o),l},Ile={kernelName:bc,backendName:"wasm",kernelFunc:kle},Sle=!0,Tle=cn(Ci,Sle),Nle=nn(Yi),Cle=nn(Qi),fA;function _le(e){fA=e.wasm.cwrap(Ji,null,["number","number","number","number","number","number","number","number","number","number"])}function Ele(e){let{backend:t,inputs:n,attrs:a}=e,{images:r}=n,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,u]=o,[p,d,c,h]=r.shape,m=[p,l,u,h],f=t.dataIdMap.get(r.dataId),g;f.dtype!=="float32"&&(g=tp({backend:t,inputs:{x:r},attrs:{dtype:"float32"}}),f=t.dataIdMap.get(g.dataId));let b=f.id,y=t.makeOutput(m,"float32");if(v.sizeFromShape(r.shape)===0)return y;let x=t.dataIdMap.get(y.dataId).id;return fA(b,p,d,c,h,l,u,s?1:0,i?1:0,x),g!=null&&t.disposeData(g.dataId),y}var Ale={kernelName:Ji,backendName:"wasm",setupFunc:_le,kernelFunc:Ele},gA;function $le(e){gA=e.wasm.cwrap(Zi,null,["number","number","number","number","number","number","number","number","number","number"])}function Fle(e){let{backend:t,inputs:n,attrs:a}=e,{images:r}=n,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,u]=o,[p,d,c,h]=r.shape,m=[p,l,u,h],f=t.makeOutput(m,"float32");if(v.sizeFromShape(r.shape)===0)return f;let g=t.dataIdMap.get(r.dataId),b;g.dtype!=="float32"&&(b=tp({backend:t,inputs:{x:r},attrs:{dtype:"float32"}}),g=t.dataIdMap.get(b.dataId));let y=g.id,x=t.dataIdMap.get(f.dataId).id;return gA(y,p,d,c,h,l,u,s?1:0,i?1:0,x),b!=null&&t.disposeData(b.dataId),f}var Dle={kernelName:Zi,backendName:"wasm",setupFunc:$le,kernelFunc:Fle},bA;function Rle(e){bA=e.wasm.cwrap(eo,null,["number","array","number","array","number","number"])}function Mle(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dims:s}=a,i=v.parseAxisParam(s,r.shape);if(r.shape.length===0)return Zf({inputs:{x:r},backend:n});let o=n.makeOutput(r.shape,r.dtype),l=n.dataIdMap.get(r.dataId).id,u=n.dataIdMap.get(o.dataId).id,p=new Uint8Array(new Int32Array(i).buffer),d=new Uint8Array(new Int32Array(r.shape).buffer);bA(l,p,i.length,d,r.shape.length,u);let c=zn({inputs:{x:o},attrs:{shape:r.shape},backend:n});return n.disposeData(o.dataId),c}var Ple={kernelName:eo,backendName:"wasm",kernelFunc:Mle,setupFunc:Rle},yA;function Ole(e){yA=e.wasm.cwrap(Ru,null,["number","number","number","number","number","number","number","number","array","number","number"])}function Lle(e){let{inputs:t,backend:n,attrs:a}=e,{image:r}=t,{radians:s,fillValue:i,center:o}=a,l=n.makeOutput(r.shape,r.dtype),u=n.dataIdMap.get(r.dataId).id,p=n.dataIdMap.get(l.dataId).id,[d,c,h,m]=r.shape,[f,g]=N.getImageCenter(o,c,h),b=i===0,y=255,x=typeof i=="number"?[i,i,i,b?0:y]:[...i,y],w=new Uint8Array(new Int32Array(x).buffer);return yA(u,d,c,h,m,s,f,g,w,x.length,p),l}var zle={kernelName:Ru,backendName:"wasm",kernelFunc:Lle,setupFunc:Ole},Ble=nn(to),Wle=nn(no),xA;function Vle(e){xA=e.wasm.cwrap(xu,null,["number","number","number","number","number","number","array","number","number"])}function Ule(e){let{backend:t,inputs:n,attrs:a}=e,{indices:r,updates:s}=n,{shape:i}=a,o=t.makeOutput(i,s.dtype);if(v.sizeFromShape(i)===0)return o;let{sliceRank:l,numUpdates:u,sliceSize:p,strides:d,outputSize:c}=Vx.calculateShapes(s,r,i),h=t.dataIdMap.get(r.dataId).id,m=t.dataIdMap.get(s.dataId).id,f=new Uint8Array(new Int32Array(d).buffer),g=t.dataIdMap.get(o.dataId).id;return xA(h,m,Et[s.dtype],l,u,p,f,c,g),o}var Gle={kernelName:xu,backendName:"wasm",setupFunc:Vle,kernelFunc:Ule},vA;function Hle(e){vA=e.wasm.cwrap("SelectV2",null,["number","number","number","number","number"])}function jle(e){let{inputs:t,backend:n}=e,{condition:a,t:r,e:s}=t,i=n.dataIdMap.get(a.dataId).id,o=n.dataIdMap.get(r.dataId).id,l=n.dataIdMap.get(s.dataId).id,u=n.makeOutput(r.shape,r.dtype),p=n.dataIdMap.get(u.dataId).id,d=a.shape.length,c=r.shape.length,h=d===0||d>1||c===1?1:v.sizeFromShape(r.shape.slice(1));return vA(i,o,l,h,p),u}var qle={kernelName:vu,backendName:"wasm",kernelFunc:jle,setupFunc:Hle},wA;function Kle(e){wA=e.wasm.cwrap(ro,null,["number","number"])}function Xle(e){let{backend:t,inputs:{x:n}}=e,a=t.dataIdMap.get(n.dataId).id,r=t.makeOutput(n.shape,n.dtype),s=t.dataIdMap.get(r.dataId).id;return v.sizeFromShape(r.shape)===0||wA(a,s),r}var Yle={kernelName:"Sigmoid",backendName:"wasm",setupFunc:Kle,kernelFunc:Xle},Zle=nn(ao),kA;function Jle(e){kA=e.wasm.cwrap(oo,null,["number","number","number","number"])}function Qle(e){let{backend:t,inputs:{logits:n},attrs:{dim:a}}=e,r=t.dataIdMap.get(n.dataId).id,s=t.makeOutput(n.shape,n.dtype),i=t.dataIdMap.get(s.dataId).id,o=n.shape[a],l=v.sizeFromShape(n.shape)/o;return v.sizeFromShape(s.shape)===0||kA(r,i,o,l),s}var eue={kernelName:oo,backendName:"wasm",setupFunc:Jle,kernelFunc:Qle};function tue(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockShape:s,paddings:i}=a,o=v.sizeFromShape(s),l=[[0,0]];l.push(...i);for(let g=1+s.length;g{let A=w.shape[0],R=w.shape[1],F=N.segment_util.segOpComputeOptimalWindowSize(R,E),S={windowSize:F,inSize:R,batchSize:A,numSegments:E},M=new Pse(S,I),B=n.compileAndRun(M,[w,T],C);if(l.push(B),B.shape[1]===E)return B;let U=PE({backend:n,attrs:{start:0,stop:E,step:1,dtype:"float32"}}),G=LE({inputs:{x:U},backend:n,attrs:{reps:[R/F]}});return l.push(U),l.push(G),g(B,I,G,C,E)},b=g(m,"unsortedSegmentSum",s,f,i),y=de({inputs:{x:b},backend:n,attrs:{shape:c}}),x=y;if(p!=null){l.push(y);let w=N.getUndoAxesPermutation(p);x=Sn({inputs:{x},backend:n,attrs:{perm:w}})}return l.forEach(w=>n.disposeIntermediateTensorInfo(w)),x}var Lse={kernelName:Cc,backendName:"webgl",kernelFunc:Ose},zse=[RJ,PJ,zJ,VJ,GJ,qJ,XJ,ZJ,t9,a9,i9,u9,d9,g9,x9,w9,I9,C9,E9,$9,M9,V9,G9,j9,J9,eQ,rQ,bJ,oQ,dQ,gQ,kQ,SQ,NQ,_Q,AQ,DQ,PQ,zQ,BQ,UQ,HQ,KQ,YQ,eee,nee,see,lee,pee,mee,yee,kee,Tee,_ee,Eee,$ee,Dee,Mee,Oee,zee,Uee,jee,Xee,Zee,ete,ate,ote,cte,gJ,hte,pQ,gte,xte,kte,xJ,Nte,Ate,Fte,Pte,zte,Ute,jte,Yte,ene,ane,sne,une,cne,hne,bne,xne,wne,Ine,Tne,Ene,Dne,One,Hne,kJ,Xne,Jne,tae,rae,K9,oae,uae,cae,mae,yae,wJ,vae,kae,Sae,Nae,Cae,X9,Bne,Aae,Rae,Lae,SJ,Vae,Hae,Xae,Jae,nre,rre,ore,pre,dre,fre,yre,wre,Tre,_re,$re,Rre,W9,Une,Ore,zre,Bre,Ure,Hre,qre,Xre,Zre,Qre,nse,rse,ise,use,cse,hse,fse,Vne,$J,yse,wse,Sse,_se,$se,FJ,Dse,Mse,Lse,lae];for(let e of zse)_c(e);var Et;(function(e){e[e.float32=0]="float32",e[e.int32=1]="int32",e[e.bool=2]="bool",e[e.string=3]="string",e[e.complex64=4]="complex64"})(Et||(Et={}));var uc;(function(e){e[e.linear=0]="linear",e[e.relu=1]="relu",e[e.relu6=2]="relu6",e[e.prelu=3]="prelu",e[e.leakyrelu=4]="leakyrelu",e[e.sigmoid=5]="sigmoid",e[e.elu=6]="elu"})(uc||(uc={}));var zE;function Wse(e){zE=e.wasm.cwrap(Qs,null,["number","array","number","number","array","number","number","number","number","number","number","number","number"])}function Bse(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s,bias:i,preluActivationWeights:o}=t;if(r.dtype!=="float32"||s.dtype!=="float32")throw new Error("_FusedMatMul for non non-float32 tensors not yet supported.");let{transposeA:l,transposeB:u,activation:p,leakyreluAlpha:d}=a,c=n.dataIdMap.get(r.dataId).id,h=n.dataIdMap.get(s.dataId).id,m=0;if(i!=null){let E=n.dataIdMap.get(i.dataId);if(E.shape.length!==1)throw new Error(`_FusedMatMul only supports rank-1 bias but got rank ${E.shape.length}.`);m=E.id}let f=o==null?0:n.dataIdMap.get(o.dataId).id,g=uc[p];if(g==null)throw new Error(`${p} activation not yet supported for FusedConv2D in the wasm backend.`);let b=l?r.shape[2]:r.shape[1],y=u?s.shape[1]:s.shape[2],x=Ou.assertAndGetBroadcastShape(r.shape.slice(0,-2),s.shape.slice(0,-2)),w=n.makeOutput([...x,b,y],r.dtype),I=n.dataIdMap.get(w.dataId).id,T=new Uint8Array(new Int32Array(r.shape).buffer),C=new Uint8Array(new Int32Array(s.shape).buffer);return zE(c,T,r.shape.length,h,C,s.shape.length,l,u,g,m,f,d||0,I),w}var Vse={kernelName:Qs,backendName:"wasm",setupFunc:Wse,kernelFunc:Bse};function an(e,t){let n;function a(s){n=s.wasm.cwrap(e,null,["number","number","number"])}function r(s){let{backend:i,inputs:{x:o}}=s,l=i.dataIdMap.get(o.dataId).id,u=i.makeOutput(o.shape,t||o.dtype),p=i.dataIdMap.get(u.dataId).id;return v.sizeFromShape(u.shape)===0||n(l,Et[o.dtype],p),u}return{kernelName:e,backendName:"wasm",setupFunc:a,kernelFunc:r}}var Use=an(Dl);function dn(e,t,n){let a;function r(i){a=i.wasm.cwrap(e,null,["number","array","number","number","array","number","number","number"])}function s(i){let{backend:o,inputs:l}=i,{a:u,b:p}=l,d=o.dataIdMap.get(u.dataId).id,c=o.dataIdMap.get(p.dataId).id,h=n!=null?n:u.dtype,m=N.assertAndGetBroadcastShape(u.shape,p.shape),f=o.makeOutput(m,h);if(v.sizeFromShape(m)===0)return f;let g=new Uint8Array(new Int32Array(u.shape).buffer),b=new Uint8Array(new Int32Array(p.shape).buffer),y=o.dataIdMap.get(f.dataId).id;return a(d,g,u.shape.length,c,b,p.shape.length,Et[u.dtype],y),f}return{kernelName:e,backendName:"wasm",setupFunc:r,kernelFunc:s}}var Gse=!0,Hse=dn(gs,Gse),WE;function jse(e){WE=e.wasm.cwrap(fi,null,["array","number","number","number"])}function qse(e){let{inputs:t,backend:n}=e,a=n.makeOutput(t[0].shape,t[0].dtype);if(v.sizeFromShape(a.shape)===0)return a;let r=t.map(o=>n.dataIdMap.get(o.dataId).id),s=new Uint8Array(new Int32Array(r).buffer),i=n.dataIdMap.get(a.dataId).id;return WE(s,r.length,Et[a.dtype],i),a}var Kse={kernelName:fi,backendName:"wasm",setupFunc:jse,kernelFunc:qse};function Qf(e){let{inputs:{x:t},backend:n}=e;if(t.dtype==="string")return In(n.readSync(t.dataId),t.shape,t.dtype);let a=n.makeOutput(t.shape,t.dtype),r=n.typedArrayFromHeap(t);return n.typedArrayFromHeap(a).set(r),a}var Xse={kernelName:Ri,backendName:"wasm",kernelFunc:Qf},BE;function Yse(e){BE=e.wasm.cwrap(_r,null,["number","array","number","number","number","array","number"])}function hs(e){let{inputs:t,backend:n,attrs:a}=e,[r,s]=Jse(t.x.shape,a.perm),i=!0;for(let m=0;m=r&&(s===-1||a[s]>a[i])&&(s=i);a[s]=r}return[n,a]}var Qse={kernelName:_r,backendName:"wasm",kernelFunc:hs,setupFunc:Yse};function Es(e,t,n){let a=e.shape,r=e.shape.length,s=v.parseAxisParam(t,a),i=s,o=N.getAxesPermutation(i,r),l=null,u=!1;if(o!=null){let p=new Array(r);for(let c=0;c`new shape: ${i}, old shape: ${a.shape}. New shape and old shape must have the same number of elements.`),e.backend.incRef(a.dataId),{dataId:a.dataId,shape:i,dtype:a.dtype}}var die={kernelName:vu,backendName:"wasm",kernelFunc:Wn},jE;function hie(e){jE=e.wasm.cwrap(yi,null,["number","array","number","number","array","number","number","number","number"])}function mie(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s}=t,{transposeA:i,transposeB:o}=a;if(r.dtype!=="float32"||s.dtype!=="float32")throw new Error("BatchMatMul for non non-float32 tensors not yet supported.");let l=r.shape.length,u=s.shape.length,p=i?r.shape[l-2]:r.shape[l-1],d=o?s.shape[u-1]:s.shape[u-2],c=i?r.shape[l-1]:r.shape[l-2],h=o?s.shape[u-2]:s.shape[u-1],m=r.shape.slice(0,-2),f=s.shape.slice(0,-2),g=v.sizeFromShape(m),b=v.sizeFromShape(f),y=Ou.assertAndGetBroadcastShape(r.shape.slice(0,-2),s.shape.slice(0,-2)).concat([c,h]);v.assert(p===d,()=>`Error in matMul: inner shapes (${p}) and (${d}) of Tensors with shapes ${r.shape} and ${s.shape} and transposeA=${i} and transposeB=${o} must match.`);let x=i?[g,p,c]:[g,c,p],w=o?[b,h,d]:[b,d,h],I=Wn({inputs:{x:r},backend:n,attrs:{shape:x}}),T=Wn({inputs:{x:s},backend:n,attrs:{shape:w}}),C=n.dataIdMap.get(I.dataId).id,E=n.dataIdMap.get(T.dataId).id,A=i?I.shape[2]:I.shape[1],R=o?T.shape[1]:T.shape[2],F=Math.max(g,b),S=n.makeOutput([F,A,R],I.dtype),M=n.dataIdMap.get(S.dataId).id,B=new Uint8Array(new Int32Array(I.shape).buffer),U=new Uint8Array(new Int32Array(T.shape).buffer);return jE(C,B,I.shape.length,E,U,T.shape.length,i,o,M),n.disposeData(I.dataId),n.disposeData(T.dataId),S.shape=y,S}var fie={kernelName:yi,backendName:"wasm",setupFunc:hie,kernelFunc:mie};function hi(e){let{inputs:{x:t},attrs:{begin:n,size:a},backend:r}=e,[s,i]=jt.parseSliceParams(t,n,a),o=jt.isSliceContinous(t.shape,s,i),l=r.readSync(t.dataId),u=r.makeOutput(i,t.dtype),p=v.computeStrides(t.shape),d=r.dataIdMap.get(u.dataId);if(o){let m=jt.computeFlatOffset(s,p);return t.dtype==="string"?d.stringBytes=l.slice(m,m+v.sizeFromShape(i)):r.typedArrayFromHeap(u).set(l.subarray(m,m+v.sizeFromShape(i))),u}if(t.dtype==="string"){let m=Jh(l,s,i,t.shape,t.dtype);return d.stringBytes=m,u}let c=r.typedArrayFromHeap(u),h=t.shape.length;if(h===2)gie(l,p[0],c,s,i);else if(h===3)bie(l,p[0],p[1],c,s,i);else if(h===4)yie(l,p[0],p[1],p[2],c,s,i);else{let m=Jh(l,s,i,t.shape,t.dtype);c.set(m)}return u}function gie(e,t,n,a,r){let s=0,i=a[0],o=a[1],l=i+r[0];for(let u=i;ub*y),l=N.getReshaped(r.shape,s,o),u=N.getPermuted(l.length,s.length),p=N.getReshapedPermuted(r.shape,s,o),d=N.getSliceBeginCoords(i,s.length),c=N.getSliceSize(p,i,s.length),h=Wn({inputs:{x:r},backend:n,attrs:{shape:l}}),m=hs({inputs:{x:h},backend:n,attrs:{perm:u}}),f=Wn({inputs:{x:m},backend:n,attrs:{shape:p}}),g=hi({inputs:{x:f},backend:n,attrs:{begin:d,size:c}});return n.disposeData(h.dataId),n.disposeData(m.dataId),n.disposeData(h.dataId),g}var wie={kernelName:Ul,backendName:"wasm",kernelFunc:vie};function ap(e){let{inputs:{x:t},attrs:{dtype:n},backend:a}=e,r=a.makeOutput(t.shape,n),s=a.typedArrayFromHeap(t);return a.typedArrayFromHeap(r).set(s),r}var kie={kernelName:xi,backendName:"wasm",kernelFunc:ap},Iie=an(vi),qE;function Sie(e){qE=e.wasm.cwrap(bs,null,["number","number","number","number"])}function Tie(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{clipValueMin:s,clipValueMax:i}=a,o=n.dataIdMap.get(r.dataId).id,l=n.makeOutput(r.shape,r.dtype),u=n.dataIdMap.get(l.dataId).id;return qE(o,s,i,u),l}var Nie={kernelName:bs,backendName:"wasm",setupFunc:Sie,kernelFunc:Tie};function KE(e){let{inputs:t,backend:n}=e,a=v.parseAxisParam(e.attrs.axis,t[0].shape)[0],r=t.map(h=>h.shape);N.assertParamsConsistent(r,a);let s=N.computeOutShape(t.map(h=>h.shape),a),i=t.filter(h=>v.sizeFromShape(h.shape)>0);if(i.length===1)return Qf({inputs:{x:i[0]},backend:n});let o=n.makeOutput(s,t[0].dtype);if(v.sizeFromShape(s)===0)return o;if(i[0].dtype==="string"){let h=i.map(x=>{let w=v.sizeFromShape(x.shape.slice(a));return Wn({inputs:{x},backend:n,attrs:{shape:[-1,w]}})}),m=h.map(x=>({vals:n.readSync(x.dataId),shape:x.shape}));s=N.computeOutShape(h.map(x=>x.shape),1);let f=h[0].shape[0]===1,g=O0(m,s,t[0].dtype,f),b=N.computeOutShape(i.map(x=>x.shape),a);o.shape=b;let y=n.dataIdMap.get(o.dataId);return y.stringBytes=N.fromStringArrayToUint8(g),h.forEach(x=>n.disposeData(x.dataId)),o}let l=v.sizeFromShape(i[0].shape.slice(0,a)),u=0,p=i.map(h=>{let m=v.sizeFromShape(h.shape.slice(a));return u+=m,m}),d=i.map(h=>n.typedArrayFromHeap(h)),c=n.typedArrayFromHeap(o);for(let h=0;h`cumprod does not support ${r.dtype} tensors in the WASM backend`);let u=N.getAxesPermutation([s],l),p=r;u!==null&&(p=hs({inputs:{x:r},attrs:{perm:u},backend:n}));let d=N.getInnerMostAxes(1,l)[0];N.assertAxesAreInnerMostDims("cumprod",[d],l);let c=n.makeOutput(p.shape,p.dtype),h=p.shape[d],m=n.dataIdMap.get(p.dataId).id,f=n.dataIdMap.get(c.dataId).id;JE(m,i?1:0,o?1:0,h,f,Et[r.dtype]);let g=c;if(u!==null){let b=N.getUndoAxesPermutation(u);g=hs({inputs:{x:c},attrs:{perm:b},backend:n}),n.disposeData(p.dataId),n.disposeData(c.dataId)}return g}var Bie={kernelName:Hl,backendName:"wasm",setupFunc:zie,kernelFunc:Wie},QE;function Vie(e){QE=e.wasm.cwrap(Ti,null,["number","number","number","number","number","number"])}function Uie(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=a,l=r.shape.length;v.assert(r.dtype==="float32"||r.dtype==="int32",()=>`cumsum does not support ${r.dtype} tensors in the WASM backend`);let u=N.getAxesPermutation([s],l),p=r;u!==null&&(p=hs({inputs:{x:r},attrs:{perm:u},backend:n}));let d=N.getInnerMostAxes(1,l)[0];N.assertAxesAreInnerMostDims("cumsum",[d],l);let c=n.makeOutput(p.shape,p.dtype),h=p.shape[d],m=n.dataIdMap.get(p.dataId).id,f=n.dataIdMap.get(c.dataId).id;QE(m,i?1:0,o?1:0,h,f,Et[r.dtype]);let g=c;if(u!==null){let b=N.getUndoAxesPermutation(u);g=hs({inputs:{x:c},attrs:{perm:b},backend:n}),n.disposeData(p.dataId),n.disposeData(c.dataId)}return g}var Gie={kernelName:Ti,backendName:"wasm",setupFunc:Vie,kernelFunc:Uie},eA;function Hie(e){eA=e.wasm.cwrap(ql,null,["number","number","number","array","number","array","array","number","number"])}function jie(e){let{backend:t,inputs:n,attrs:a}=e,{x:r}=n,{blockSize:s,dataFormat:i}=a,o=r.shape[0],l=i==="NHWC"?r.shape[1]:r.shape[2],u=i==="NHWC"?r.shape[2]:r.shape[3],p=i==="NHWC"?r.shape[3]:r.shape[1],d=l*s,c=u*s,h=p/(s*s),m=i==="NHWC"?[o,d,c,h]:[o,h,d,c],f=t.makeOutput(m,"float32"),g=t.dataIdMap.get(r.dataId).id,b=new Uint8Array(new Int32Array(v.computeStrides(r.shape)).buffer),y=new Uint8Array(new Int32Array(m).buffer),x=new Uint8Array(new Int32Array(v.computeStrides(m)).buffer),w=t.dataIdMap.get(f.dataId).id;return eA(g,s,i==="NHWC"?1:0,b,r.shape.length-1,y,x,m.length,w),f}var qie={kernelName:ql,backendName:"wasm",setupFunc:Hie,kernelFunc:jie},tA;function Kie(e){tA=e.wasm.cwrap(Ni,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function Xie(e){let{inputs:t,attrs:n,backend:a}=e,{x:r,filter:s}=t,i=a.dataIdMap.get(r.dataId).id,o=a.dataIdMap.get(s.dataId).id,{strides:l,dilations:u,pad:p,dimRoundingMode:d}=n,c=u==null?[1,1]:u,h=N.computeConv2DInfo(r.shape,s.shape,l,c,p,d,!0),m=h.filterHeight,f=h.filterWidth,g=h.padInfo.top,b=h.padInfo.right,y=h.padInfo.bottom,x=h.padInfo.left,w=h.dilationHeight,I=h.dilationWidth,T=h.strideHeight,C=h.strideWidth,E=h.inChannels,A=h.outChannels,R=h.padInfo.type==="SAME"?1:0;if(h.dataFormat!=="channelsLast")throw new Error(`wasm backend DepthwiseConv2dNative does not support dataFormat:'${h.dataFormat}'. Please use 'channelsLast'.`);let F=a.makeOutput(h.outShape,"float32"),S=a.dataIdMap.get(F.dataId).id;return tA(i,r.shape[0],r.shape[1],r.shape[2],o,m,f,g,b,y,x,R,w,I,T,C,E,A,S),F}var Yie={kernelName:Ni,backendName:"wasm",setupFunc:Kie,kernelFunc:Xie},Zie=an(_i),Jie=!1,Qie=dn(Xl,Jie,"bool"),eoe=an(Ei,"float32");function kx(e){let{inputs:t,attrs:n,backend:a}=e,{input:r}=t,{dim:s}=n,i=r.shape.length,o=r.shape.slice(),l=s;return s<0&&(v.assert(-(i+1)<=s,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),l=i+s+1),o.splice(l,0,1),Wn({inputs:{x:r},backend:a,attrs:{shape:o}})}var toe={kernelName:Yl,backendName:"wasm",kernelFunc:kx};function nA(e){let{attrs:{shape:t,value:n,dtype:a},backend:r}=e,s=r.makeOutput(t,a);return r.typedArrayFromHeap(s).fill(n),s}var noe={kernelName:gc,backendName:"wasm",kernelFunc:nA},aA;function aoe(e){aA=e.wasm.cwrap(Jl,null,["number","number","number","number","number","number"])}function roe(e){let{inputs:t,backend:n}=e,{image:a}=t,r=n.makeOutput(a.shape,a.dtype),s=n.dataIdMap.get(a.dataId).id,i=n.dataIdMap.get(r.dataId).id,[o,l,u,p]=a.shape;return aA(s,o,l,u,p,i),r}var soe={kernelName:Jl,backendName:"wasm",kernelFunc:roe,setupFunc:aoe},ioe=an(Ai),ooe=!1,loe=dn($i,ooe),rA;function uoe(e){rA=e.wasm.cwrap(Fi,null,["number","number","number","number","number","number","number"])}function poe(e){let{backend:t,inputs:n,attrs:a}=e,{varianceEpsilon:r}=a,{x:s,mean:i,variance:o,offset:l,scale:u}=n,p=t.dataIdMap.get(s.dataId).id,d=t.dataIdMap.get(i.dataId).id,c=t.dataIdMap.get(o.dataId).id,h=l!=null?t.dataIdMap.get(l.dataId).id:0,m=u!=null?t.dataIdMap.get(u.dataId).id:0,f=t.makeOutput(s.shape,s.dtype);if(v.sizeFromShape(s.shape)===0)return f;let g=t.dataIdMap.get(f.dataId).id;return rA(p,d,c,h,m,r,g),f}var coe={kernelName:Fi,backendName:"wasm",setupFunc:uoe,kernelFunc:poe},sA;function doe(e){sA=e.wasm.cwrap(ei,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function hoe(e){let{inputs:t,attrs:n,backend:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dilations:p,dataFormat:d,dimRoundingMode:c,activation:h,leakyreluAlpha:m}=n,f=N.computeConv2DInfo(r.shape,s.shape,l,p,u,c),g=uc[h];if(g==null)throw new Error(`${h} activation not yet supported for FusedConv2D in the wasm backend.`);let b=a.dataIdMap.get(r.dataId).id,y=a.dataIdMap.get(s.dataId).id,x=f.outChannels,w=0;if(i!=null){let te=a.dataIdMap.get(i.dataId);if(te.shape.length!==1)throw new Error(`FusedConv2D only supports rank-1 bias but got rank ${te.shape.length}.`);if(te.shape[0]!==x)throw new Error(`FusedConv2D bias shape (${te.shape}) does not match the number of output channels (${x})`);w=te.id}let I=f.filterHeight,T=f.filterWidth,C=f.padInfo.top,E=f.padInfo.right,A=f.padInfo.bottom,R=f.padInfo.left,F=f.dilationHeight,S=f.dilationWidth,M=f.strideHeight,B=f.strideWidth,U=f.inChannels,G=f.padInfo.type==="SAME"?1:0,q=f.batchSize,K=f.inHeight,Z=f.inWidth;if(d!=="NHWC")throw new Error(`wasm backend FusedConv2D does not support dataFormat:'${d}'. Please use 'NHWC'.`);let Q=a.makeOutput(f.outShape,"float32"),ee=a.dataIdMap.get(Q.dataId).id,ae=o==null?0:a.dataIdMap.get(o.dataId).id;return sA(b,q,K,Z,y,I,T,w,C,E,A,R,G,F,S,M,B,U,x,g,ae,m||0,ee),Q}var moe={kernelName:ei,backendName:"wasm",setupFunc:doe,kernelFunc:hoe},iA;function foe(e){iA=e.wasm.cwrap(ti,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function goe(e){let{inputs:t,attrs:n,backend:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dilations:p,dataFormat:d,dimRoundingMode:c,activation:h,leakyreluAlpha:m}=n,f=N.computeConv2DInfo(r.shape,s.shape,l,p,u,c,!0),g=uc[h];if(g==null)throw new Error(`${h} activation not yet supported for FusedDepthwiseConv2D in the wasm backend.`);let b=a.dataIdMap.get(r.dataId).id,y=a.dataIdMap.get(s.dataId).id,x=f.outChannels,w=0;if(i!=null){let te=a.dataIdMap.get(i.dataId);if(te.shape.length!==1)throw new Error(`FusedDepthwiseConv2D only supports rank-1 bias but got rank ${te.shape.length}.`);if(te.shape[0]!==x)throw new Error(`FusedDepthwiseConv2D bias shape (${te.shape}) does not match the number of output channels (${x})`);w=te.id}let I=f.filterHeight,T=f.filterWidth,C=f.padInfo.top,E=f.padInfo.right,A=f.padInfo.bottom,R=f.padInfo.left,F=f.dilationHeight,S=f.dilationWidth,M=f.strideHeight,B=f.strideWidth,U=f.inChannels,G=f.padInfo.type==="SAME"?1:0,q=f.batchSize,K=f.inHeight,Z=f.inWidth;if(d!=="NHWC")throw new Error(`wasm backend FusedDepthwiseConv2D does not support dataFormat:'${d}'. Please use 'NHWC'.`);let Q=a.makeOutput(f.outShape,"float32"),ee=a.dataIdMap.get(Q.dataId).id,ae=o==null?0:a.dataIdMap.get(o.dataId).id;return iA(b,q,K,Z,y,I,T,w,C,E,A,R,G,F,S,M,B,U,x,g,ae,m||0,ee),Q}var boe={kernelName:ti,backendName:"wasm",setupFunc:foe,kernelFunc:goe},oA;function yoe(e){oA=e.wasm.cwrap(eu,null,["number","number","number","number","number","number","array","number"])}function xoe(e){let{backend:t,inputs:n}=e,{params:a,indices:r}=n,[s,i,o,l]=Ux.prepareAndValidate(a,r),u=t.makeOutput(s,a.dtype);if(i===0)return u;let p=r.shape,d=p[p.length-1],c=t.dataIdMap.get(a.dataId).id,h=t.dataIdMap.get(r.dataId).id,m=new Uint8Array(new Int32Array(l).buffer),f=t.dataIdMap.get(u.dataId).id;return oA(c,Et[a.dtype],h,i,d,o,m,f),u}var voe={kernelName:eu,backendName:"wasm",setupFunc:yoe,kernelFunc:xoe},lA;function woe(e){lA=e.wasm.cwrap("Gather",null,["number","number","array","number","number","number","array","number"])}function koe(e){let{backend:t,inputs:n,attrs:a}=e,{x:r,indices:s}=n,{axis:i,batchDims:o}=a,l=v.parseAxisParam(i,r.shape)[0],u=t.readSync(s.dataId),p=r.shape[l];for(let C=0;C=0,()=>`GatherV2: the index value ${E} is not in [0, ${p-1}]`)}let d=N.segment_util.collectGatherOpShapeInfo(r,s,l,o),c=Wn({inputs:{x:r},attrs:{shape:[d.batchSize,d.outerSize,d.dimSize,d.sliceSize]},backend:t}),h=v.sizeFromShape(s.shape),m=Wn({inputs:{x:s},attrs:{shape:[d.batchSize,h/d.batchSize]},backend:t}),f=[d.batchSize,d.outerSize,h/d.batchSize,d.sliceSize],g=t.makeOutput(f,r.dtype);if(v.sizeFromShape(r.shape)===0)return g;let b=c.shape.length-1,y=t.dataIdMap.get(c.dataId).id,x=t.dataIdMap.get(m.dataId).id,w=t.dataIdMap.get(g.dataId).id,I=new Uint8Array(new Int32Array(v.computeStrides(c.shape)).buffer),T=new Uint8Array(new Int32Array(v.computeStrides(f)).buffer);return lA(y,Et[r.dtype],I,b,x,d.batchSize,T,w),t.disposeData(c.dataId),t.disposeData(m.dataId),g.shape=d.outputShape,g}var Ioe={kernelName:Ql,backendName:"wasm",setupFunc:woe,kernelFunc:koe},Soe=!1,Toe=dn(tu,Soe,"bool"),Noe=!1,Coe=dn(Di,Noe,"bool"),uA;function _oe(e){uA=e.wasm.cwrap(Mi,null,["number","number","number","number"])}function Eoe(e){let{inputs:{x:t},attrs:{alpha:n},backend:a}=e,r=a.dataIdMap.get(t.dataId).id,s=a.makeOutput(t.shape,"float32");if(v.sizeFromShape(t.shape)!==0){let i=a.dataIdMap.get(s.dataId).id;uA(r,Et[t.dtype],n,i)}return s}var Aoe={kernelName:Mi,backendName:"wasm",setupFunc:_oe,kernelFunc:Eoe},$oe=!1,Foe=dn(su,$oe,"bool"),Doe=!1,Roe=dn(iu,Doe,"bool"),Moe=an(Pi),Poe=!1,Ooe=dn(lu,Poe,"bool"),Loe=an(uu),zoe=!1,Woe=dn(pu,zoe,"bool"),Boe=!1,Voe=dn(tS,Boe,"bool"),pA;function Uoe(e){pA=e.wasm.cwrap(Oi,null,["number","number","number","number"])}function Goe(e){let{backend:t,inputs:n,attrs:a}=e,{reductionIndices:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=i,{transposed:u,axes:p,originalAxes:d,inputWasTransposed:c}=Es(i,r,t);if(c){let y=t.dataIdMap.get(u.dataId).id;l=u,o=y}let h=l.shape.length;N.assertAxesAreInnerMostDims("max",p,h);let[m,f]=N.computeOutAndReduceShapes(l.shape,p),g=v.sizeFromShape(f),b=t.makeOutput(m,i.dtype);if(v.sizeFromShape(l.shape)!==0){let y=t.dataIdMap.get(b.dataId).id;pA(o,Et[i.dtype],g,y)}if(c&&t.disposeData(u.dataId),s){let y=N.expandShapeToKeepDim(b.shape,d);b.shape=y}return b}var Hoe={kernelName:Oi,backendName:"wasm",setupFunc:Uoe,kernelFunc:Goe},joe=!1,qoe=dn(Li,joe),cA;function Koe(e){cA=e.wasm.cwrap(zi,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function Xoe(e){let{inputs:t,attrs:n,backend:a}=e,r=t.x,s=a.dataIdMap.get(r.dataId).id;v.assert(r.dtype==="float32",()=>`Error in MaxPool: only float32 input is supported. Got ${r.dtype}.`);let{filterSize:i,strides:o,pad:l,dimRoundingMode:u}=n,p=N.computePool2DInfo(r.shape,i,o,1,l,u),d=p.filterHeight,c=p.filterWidth,h=p.padInfo.top,m=p.padInfo.right,f=p.padInfo.bottom,g=p.padInfo.left,b=p.dilationHeight,y=p.dilationWidth,x=p.strideHeight,w=p.strideWidth,I=p.inChannels,T=p.outChannels;if(p.dataFormat!=="channelsLast")throw new Error(`wasm backend does not support dataFormat:'${p.dataFormat}'. Please use 'channelsLast'.`);let C=a.makeOutput(p.outShape,"float32"),E=a.dataIdMap.get(C.dataId).id;return cA(s,r.shape[0],r.shape[1],r.shape[2],d,c,h,m,f,g,b,y,x,w,I,T,E),C}var Yoe={kernelName:zi,backendName:"wasm",setupFunc:Koe,kernelFunc:Xoe},dA;function Zoe(e){dA=e.wasm.cwrap(Wi,null,["number, number, number"])}function Joe(e){let{backend:t,inputs:n,attrs:a}=e,{axis:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:d,originalAxes:c,inputWasTransposed:h}=Es(i,r,t),m=d;if(h){let w=t.dataIdMap.get(p.dataId).id;w!==o&&(u=p,l=w,m=N.getInnerMostAxes(m.length,u.shape.length))}N.assertAxesAreInnerMostDims("mean",m,u.shape.length);let[f,g]=N.computeOutAndReduceShapes(u.shape,m),b=v.sizeFromShape(g),y=u;u.dtype!=="float32"&&(y=ap({backend:t,inputs:{x:u},attrs:{dtype:"float32"}}),l=t.dataIdMap.get(y.dataId).id);let x=t.makeOutput(f,"float32");if(v.sizeFromShape(u.shape)!==0){let w=t.dataIdMap.get(x.dataId).id;dA(l,b,w)}if(h&&t.disposeData(p.dataId),s){let w=N.expandShapeToKeepDim(x.shape,c);x.shape=w}return u.dtype!=="float32"&&t.disposeData(y.dataId),x}var Qoe={kernelName:Wi,backendName:"wasm",setupFunc:Zoe,kernelFunc:Joe},hA;function ele(e){hA=e.wasm.cwrap(Bi,null,["number","number","number","number"])}function tle(e){let{backend:t,inputs:n,attrs:a}=e,{axis:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:d,originalAxes:c,inputWasTransposed:h}=Es(i,r,t);if(h){let x=t.dataIdMap.get(p.dataId).id;x!==o&&(u=p,l=x)}let m=u.shape.length;N.assertAxesAreInnerMostDims("min",d,m);let[f,g]=N.computeOutAndReduceShapes(u.shape,d),b=v.sizeFromShape(g),y=t.makeOutput(f,u.dtype);if(v.sizeFromShape(u.shape)!==0){let x=t.dataIdMap.get(y.dataId).id;hA(l,Et[i.dtype],b,x)}if(h&&t.disposeData(p.dataId),s){let x=N.expandShapeToKeepDim(y.shape,c);y.shape=x}return y}var nle={kernelName:Bi,backendName:"wasm",setupFunc:ele,kernelFunc:tle},ale=!1,rle=dn(Vi,ale),Ix;(function(e){e[e.reflect=0]="reflect",e[e.symmetric=1]="symmetric"})(Ix||(Ix={}));var mA;function sle(e){mA=e.wasm.cwrap(Ui,null,["number","array","number","number","array","array","number","number"])}function ile(e){let{inputs:{x:t},backend:n,attrs:{paddings:a,mode:r}}=e,s=a.map((m,f)=>m[0]+t.shape[f]+m[1]),i=n.dataIdMap.get(t.dataId).id,o=n.makeOutput(s,t.dtype),l=n.dataIdMap.get(o.dataId).id,u=new Uint8Array(new Int32Array(t.shape).buffer),p=a.map(m=>m[0]),d=a.map(m=>m[1]),c=new Uint8Array(new Int32Array(p).buffer),h=new Uint8Array(new Int32Array(d).buffer);return mA(i,u,t.shape.length,Et[t.dtype],c,h,Ix[r],l),o}var ole={kernelName:Ui,backendName:"wasm",kernelFunc:ile,setupFunc:sle},lle=!0,ule=dn(Gi,lle),ple=an(du);function u1(e,t){let n=new Int32Array(e.wasm.HEAPU8.buffer,t,4),a=n[0],r=n[1],s=n[2],i=n[3];return e.wasm._free(t),{pSelectedIndices:a,selectedSize:r,pSelectedScores:s,pValidOutputs:i}}var fA;function cle(e){fA=e.wasm.cwrap(mu,"number",["number","number","number","number","number"])}function dle(e){let{backend:t,inputs:n,attrs:a}=e,{iouThreshold:r,maxOutputSize:s,scoreThreshold:i}=a,{boxes:o,scores:l}=n,u=t.dataIdMap.get(o.dataId).id,p=t.dataIdMap.get(l.dataId).id,d=fA(u,p,s,r,i),{pSelectedIndices:c,selectedSize:h,pSelectedScores:m,pValidOutputs:f}=u1(t,d);return t.wasm._free(m),t.wasm._free(f),t.makeOutput([h],"int32",c)}var hle={kernelName:mu,backendName:"wasm",setupFunc:cle,kernelFunc:dle},gA;function mle(e){gA=e.wasm.cwrap(fu,"number",["number","number","number","number","number","bool"])}function fle(e){let{backend:t,inputs:n,attrs:a}=e,{iouThreshold:r,maxOutputSize:s,scoreThreshold:i,padToMaxOutputSize:o}=a,{boxes:l,scores:u}=n,p=t.dataIdMap.get(l.dataId).id,d=t.dataIdMap.get(u.dataId).id,c=gA(p,d,s,r,i,o),{pSelectedIndices:h,selectedSize:m,pSelectedScores:f,pValidOutputs:g}=u1(t,c);t.wasm._free(f);let b=t.makeOutput([m],"int32",h),y=t.makeOutput([],"int32",g);return[b,y]}var gle={kernelName:fu,backendName:"wasm",setupFunc:mle,kernelFunc:fle},bA;function ble(e){bA=e.wasm.cwrap(gu,"number",["number","number","number","number","number","number"])}function yle(e){let{backend:t,inputs:n,attrs:a}=e,{iouThreshold:r,maxOutputSize:s,scoreThreshold:i,softNmsSigma:o}=a,{boxes:l,scores:u}=n,p=t.dataIdMap.get(l.dataId).id,d=t.dataIdMap.get(u.dataId).id,c=bA(p,d,s,r,i,o),{pSelectedIndices:h,selectedSize:m,pSelectedScores:f,pValidOutputs:g}=u1(t,c);t.wasm._free(g);let b=t.makeOutput([m],"int32",h),y=t.makeOutput([m],"float32",f);return[b,y]}var xle={kernelName:gu,backendName:"wasm",setupFunc:ble,kernelFunc:yle},vle=!1,wle=dn(hu,vle,"bool"),yA;function kle(e){yA=e.wasm.cwrap(Hi,null,["number","number","number","number","number"])}function Ile(e){let{inputs:t,backend:n,attrs:a}=e,{indices:r}=t,{dtype:s,depth:i,onValue:o,offValue:l}=a,u=n.makeOutput([...r.shape,i],s),p=n.dataIdMap.get(u.dataId).id,d=n.dataIdMap.get(r.dataId).id;return yA(d,i,o,l,p),u}var Sle={kernelName:Hi,backendName:"wasm",setupFunc:kle,kernelFunc:Ile};function Tle(e){let{inputs:{x:t},backend:n}=e,a=n.makeOutput(t.shape,t.dtype);return n.typedArrayFromHeap(a).fill(1),a}var Nle={kernelName:bu,backendName:"wasm",kernelFunc:Tle};function Cle(e){let{inputs:t,backend:n,attrs:a}=e,{axis:r}=a;if(t.length===1)return kx({inputs:{input:t[0]},backend:n,attrs:{dim:r}});let s=t[0].shape,i=t[0].dtype;t.forEach(p=>{v.assertShapesMatch(s,p.shape,"All tensors passed to stack must have matching shapes"),v.assert(i===p.dtype,()=>"All tensors passed to stack must have matching dtypes")});let o=[],l=t.map(p=>{let d=kx({inputs:{input:p},backend:n,attrs:{dim:r}});return o.push(d),d}),u=KE({inputs:l,backend:n,attrs:{axis:r}});return o.forEach(p=>n.disposeData(p.dataId)),u}var _le={kernelName:yu,backendName:"wasm",kernelFunc:Cle},xA;function Ele(e){xA=e.wasm.cwrap(ji,null,["number","array","number","number","array","array","number","number"])}function Ale(e){let{inputs:{x:t},backend:n,attrs:{paddings:a,constantValue:r}}=e,s=a.map((m,f)=>m[0]+t.shape[f]+m[1]);if(v.sizeFromShape(t.shape)===0)return nA({backend:n,attrs:{shape:s,value:r,dtype:t.dtype}});let i=n.dataIdMap.get(t.dataId).id,o=n.makeOutput(s,t.dtype),l=n.dataIdMap.get(o.dataId).id,u=new Uint8Array(new Int32Array(t.shape).buffer),p=a.map(m=>m[0]),d=a.map(m=>m[1]),c=new Uint8Array(new Int32Array(p).buffer),h=new Uint8Array(new Int32Array(d).buffer);return xA(i,u,t.shape.length,Et[t.dtype],c,h,r,l),o}var vA={kernelName:ji,backendName:"wasm",kernelFunc:Ale,setupFunc:Ele},$le=!1,Fle=dn(qi,$le),wA;function Dle(e){wA=e.wasm.cwrap(Ki,null,["number","number","number"])}function Rle(e){let{inputs:t,backend:n}=e,{x:a,alpha:r}=t,s=n.dataIdMap.get(a.dataId).id,i=n.dataIdMap.get(r.dataId).id,o=s,l=a,u=l;l.dtype!=="float32"&&(u=ap({backend:n,inputs:{x:a},attrs:{dtype:"float32"}}),o=n.dataIdMap.get(u.dataId).id);let p=n.makeOutput(a.shape,"float32"),d=n.dataIdMap.get(p.dataId).id;return wA(o,i,d),l.dtype!=="float32"&&n.disposeData(u.dataId),p}var Mle={kernelName:Ki,backendName:"wasm",setupFunc:Dle,kernelFunc:Rle},kA;function Ple(e){kA=e.wasm.cwrap(Xi,null,["number","number","number","number"])}function Ole(e){let{backend:t,inputs:n,attrs:a}=e,{axis:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:d,originalAxes:c,inputWasTransposed:h}=Es(i,r,t),m=d;if(h){let x=t.dataIdMap.get(p.dataId).id;x!==o&&(u=p,l=x,m=N.getInnerMostAxes(m.length,u.shape.length))}N.assertAxesAreInnerMostDims("prod",m,u.shape.length);let[f,g]=N.computeOutAndReduceShapes(u.shape,m),b=v.sizeFromShape(g),y=t.makeOutput(f,u.dtype);if(v.sizeFromShape(u.shape)!==0){let x=t.dataIdMap.get(y.dataId).id;kA(l,b,Et[y.dtype],x)}if(h&&t.disposeData(p.dataId),s){let x=N.expandShapeToKeepDim(y.shape,c);y.shape=x}return y}var Lle={kernelName:Xi,backendName:"wasm",setupFunc:Ple,kernelFunc:Ole},zle=e=>{let{backend:t,attrs:n}=e,{start:a,stop:r,step:s,dtype:i}=n,o=W0(a,r,s,i),l=t.makeOutput([o.length],i);return t.typedArrayFromHeap(l).set(o),l},Wle={kernelName:xc,backendName:"wasm",kernelFunc:zle},Ble=!0,Vle=dn(Ci,Ble),Ule=an(Yi),Gle=an(Qi),IA;function Hle(e){IA=e.wasm.cwrap(Ji,null,["number","number","number","number","number","number","number","number","number","number"])}function jle(e){let{backend:t,inputs:n,attrs:a}=e,{images:r}=n,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,u]=o,[p,d,c,h]=r.shape,m=[p,l,u,h],f=t.dataIdMap.get(r.dataId),g;f.dtype!=="float32"&&(g=ap({backend:t,inputs:{x:r},attrs:{dtype:"float32"}}),f=t.dataIdMap.get(g.dataId));let b=f.id,y=t.makeOutput(m,"float32");if(v.sizeFromShape(r.shape)===0)return y;let x=t.dataIdMap.get(y.dataId).id;return IA(b,p,d,c,h,l,u,s?1:0,i?1:0,x),g!=null&&t.disposeData(g.dataId),y}var qle={kernelName:Ji,backendName:"wasm",setupFunc:Hle,kernelFunc:jle},SA;function Kle(e){SA=e.wasm.cwrap(Zi,null,["number","number","number","number","number","number","number","number","number","number"])}function Xle(e){let{backend:t,inputs:n,attrs:a}=e,{images:r}=n,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,u]=o,[p,d,c,h]=r.shape,m=[p,l,u,h],f=t.makeOutput(m,"float32");if(v.sizeFromShape(r.shape)===0)return f;let g=t.dataIdMap.get(r.dataId),b;g.dtype!=="float32"&&(b=ap({backend:t,inputs:{x:r},attrs:{dtype:"float32"}}),g=t.dataIdMap.get(b.dataId));let y=g.id,x=t.dataIdMap.get(f.dataId).id;return SA(y,p,d,c,h,l,u,s?1:0,i?1:0,x),b!=null&&t.disposeData(b.dataId),f}var Yle={kernelName:Zi,backendName:"wasm",setupFunc:Kle,kernelFunc:Xle},TA;function Zle(e){TA=e.wasm.cwrap(eo,null,["number","array","number","array","number","number"])}function Jle(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dims:s}=a,i=v.parseAxisParam(s,r.shape);if(r.shape.length===0)return Qf({inputs:{x:r},backend:n});let o=n.makeOutput(r.shape,r.dtype),l=n.dataIdMap.get(r.dataId).id,u=n.dataIdMap.get(o.dataId).id,p=new Uint8Array(new Int32Array(i).buffer),d=new Uint8Array(new Int32Array(r.shape).buffer);TA(l,p,i.length,d,r.shape.length,u);let c=Wn({inputs:{x:o},attrs:{shape:r.shape},backend:n});return n.disposeData(o.dataId),c}var Qle={kernelName:eo,backendName:"wasm",kernelFunc:Jle,setupFunc:Zle},NA;function eue(e){NA=e.wasm.cwrap(Pu,null,["number","number","number","number","number","number","number","number","array","number","number"])}function tue(e){let{inputs:t,backend:n,attrs:a}=e,{image:r}=t,{radians:s,fillValue:i,center:o}=a,l=n.makeOutput(r.shape,r.dtype),u=n.dataIdMap.get(r.dataId).id,p=n.dataIdMap.get(l.dataId).id,[d,c,h,m]=r.shape,[f,g]=N.getImageCenter(o,c,h),b=i===0,y=255,x=typeof i=="number"?[i,i,i,b?0:y]:[...i,y],w=new Uint8Array(new Int32Array(x).buffer);return NA(u,d,c,h,m,s,f,g,w,x.length,p),l}var nue={kernelName:Pu,backendName:"wasm",kernelFunc:tue,setupFunc:eue},aue=an(to),rue=an(no),CA;function sue(e){CA=e.wasm.cwrap(wu,null,["number","number","number","number","number","number","array","number","number"])}function iue(e){let{backend:t,inputs:n,attrs:a}=e,{indices:r,updates:s}=n,{shape:i}=a,o=t.makeOutput(i,s.dtype);if(v.sizeFromShape(i)===0)return o;let{sliceRank:l,numUpdates:u,sliceSize:p,strides:d,outputSize:c}=Gx.calculateShapes(s,r,i),h=t.dataIdMap.get(r.dataId).id,m=t.dataIdMap.get(s.dataId).id,f=new Uint8Array(new Int32Array(d).buffer),g=t.dataIdMap.get(o.dataId).id;return CA(h,m,Et[s.dtype],l,u,p,f,c,g),o}var oue={kernelName:wu,backendName:"wasm",setupFunc:sue,kernelFunc:iue},_A;function lue(e){_A=e.wasm.cwrap("SelectV2",null,["number","number","number","number","number"])}function uue(e){let{inputs:t,backend:n}=e,{condition:a,t:r,e:s}=t,i=n.dataIdMap.get(a.dataId).id,o=n.dataIdMap.get(r.dataId).id,l=n.dataIdMap.get(s.dataId).id,u=n.makeOutput(r.shape,r.dtype),p=n.dataIdMap.get(u.dataId).id,d=a.shape.length,c=r.shape.length,h=d===0||d>1||c===1?1:v.sizeFromShape(r.shape.slice(1));return _A(i,o,l,h,p),u}var pue={kernelName:ku,backendName:"wasm",kernelFunc:uue,setupFunc:lue},EA;function cue(e){EA=e.wasm.cwrap(ro,null,["number","number"])}function due(e){let{backend:t,inputs:{x:n}}=e,a=t.dataIdMap.get(n.dataId).id,r=t.makeOutput(n.shape,n.dtype),s=t.dataIdMap.get(r.dataId).id;return v.sizeFromShape(r.shape)===0||EA(a,s),r}var hue={kernelName:"Sigmoid",backendName:"wasm",setupFunc:cue,kernelFunc:due},mue=an(ao),AA;function fue(e){AA=e.wasm.cwrap(oo,null,["number","number","number","number"])}function gue(e){let{backend:t,inputs:{logits:n},attrs:{dim:a}}=e,r=t.dataIdMap.get(n.dataId).id,s=t.makeOutput(n.shape,n.dtype),i=t.dataIdMap.get(s.dataId).id,o=n.shape[a],l=v.sizeFromShape(n.shape)/o;return v.sizeFromShape(s.shape)===0||AA(r,i,o,l),s}var bue={kernelName:oo,backendName:"wasm",setupFunc:fue,kernelFunc:gue};function yue(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockShape:s,paddings:i}=a,o=v.sizeFromShape(s),l=[[0,0]];l.push(...i);for(let g=1+s.length;g0?l+1:0;if(u<0)throw new Error(N.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let p=r.shape.slice();p[0]=u;let d=n.dataIdMap.get(r.dataId).id,c=n.dataIdMap.get(s.dataId).id,h=n.dataIdMap.get(i.dataId).id,m=n.makeOutput(p,r.dtype),f=n.dataIdMap.get(m.dataId).id,g=n.makeOutput([4],"int32"),b=n.dataIdMap.get(g.dataId).id;TA(d,Et[r.dtype],r.shape[0],c,h,f,b,t,0);let y=n.readSync(g.dataId),x;switch(y[0]){case 0:{x=N.getSparseSegmentReductionNegativeSegmentIdsErrorMessage();break}case 1:{x=N.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage();break}case 2:x=N.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(y[1],y[2]);break;case 3:x=N.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(y[1],y[2],y[3]);break;default:x=""}if(n.disposeData(g.dataId),x)throw n.disposeData(m.dataId),new Error(x);return m}function uue(e){return CA(e,!0)}var pue={kernelName:xc,backendName:"wasm",setupFunc:NA,kernelFunc:uue};function cue(e){return CA(e,!1)}var due={kernelName:vc,backendName:"wasm",setupFunc:NA,kernelFunc:cue};function hue(e){let{inputs:t,attrs:n,backend:a}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=n,o=v.parseAxisParam(i,r.shape)[0],l=N.prepareSplitSize(r,s,o),u=new Array(r.shape.length).fill(0),p=r.shape.slice();return l.map(d=>{let c=[...p];c[o]=d;let h=hi({inputs:{x:r},attrs:{begin:u,size:c},backend:a});return u[o]+=d,h})}var mue={kernelName:Cu,backendName:"wasm",kernelFunc:hue},fue=nn(so),gue=nn(wc),bue=!0,yue=cn(lo,bue),_A;function xue(e){_A=e.wasm.cwrap(ys,null,["number","number","number","number"])}function vue(e){let{backend:t,inputs:n,attrs:a}=e,{alpha:r}=a,{x:s}=n,i=t.dataIdMap.get(s.dataId).id,o=t.makeOutput(s.shape,s.dtype),l=t.dataIdMap.get(o.dataId).id;return _A(i,r,Et[s.dtype],l),o}var wue={kernelName:ys,backendName:"wasm",setupFunc:xue,kernelFunc:vue},EA;function kue(e){EA=e.wasm.cwrap(Eu,null,["number","array","number","array","array","array","array","array","number","number"])}function Iue(e){let{backend:t,inputs:n,attrs:a}=e,{x:r}=n,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:p,newAxisMask:d,shrinkAxisMask:c}=a,{finalShapeSparse:h,finalShape:m,isIdentity:f,sliceDim0:g,isSimpleSlice:b,begin:y,end:x,strides:w}=jt.sliceInfo(r.shape,s,i,o,l,u,p,d,c),I;if(f)I=zn({inputs:{x:r},backend:t,attrs:{shape:m}});else if(g||b){v.assert(r.shape.length>=1,()=>`Input must have rank at least 1, got: ${r.shape.length}`);let T=jt.computeOutShape(y,x,w),C=hi({inputs:{x:r},backend:t,attrs:{begin:y,size:T}});I=zn({inputs:{x:C},backend:t,attrs:{shape:m}}),t.disposeData(C.dataId)}else{let T=t.makeOutput(h,"float32"),C=t.dataIdMap.get(r.dataId).id,E=new Uint8Array(new Int32Array(v.computeStrides(r.shape)).buffer),A=new Uint8Array(new Int32Array(y).buffer),R=new Uint8Array(new Int32Array(x).buffer),F=new Uint8Array(new Int32Array(w).buffer),S=new Uint8Array(new Int32Array(h).buffer),M=new Uint8Array(new Int32Array(v.computeStrides(h)).buffer),W=t.dataIdMap.get(T.dataId).id;EA(C,E,r.shape.length,A,R,F,S,M,h.length,W),I=zn({inputs:{x:T},backend:t,attrs:{shape:m}}),t.disposeData(T.dataId)}return I}var Sue={kernelName:Eu,backendName:"wasm",setupFunc:kue,kernelFunc:Iue};function Tue(e){let{backend:t,inputs:n,attrs:a}=e,{data:r,dataSplits:s}=n,{separator:i,nGramWidths:o,leftPad:l,rightPad:u,padWidth:p,preserveShortSequences:d}=a,c=t.readSync(r.dataId),h=t.readSync(s.dataId),[m,f]=L0(c,h,i,o,l,u,p,d),g=t.makeOutput([m.length],"string"),b=t.dataIdMap.get(g.dataId);b.stringBytes=m;let y=t.makeOutput(s.shape,"int32");return t.typedArrayFromHeap(y).set(f),[g,y]}var Nue={kernelName:kc,backendName:"wasm",kernelFunc:Tue};function Cue(e){let{backend:t,inputs:n,attrs:a}=e,{input:r,delimiter:s}=n,{skipEmpty:i}=a,o=t.readSync(r.dataId),l=t.readSync(s.dataId),[u,p,d]=z0(o,l[0],i),c=p.length,h=t.makeOutput([c,2],"int32");t.typedArrayFromHeap(h).set(u);let m=t.makeOutput([c],"string"),f=t.dataIdMap.get(m.dataId);f.stringBytes=p;let g=t.makeOutput([2],"int32");return t.typedArrayFromHeap(g).set(d),[h,m,g]}var _ue={kernelName:Ic,backendName:"wasm",kernelFunc:Cue};function Eue(e){let{backend:t,inputs:n,attrs:a}=e,{input:r}=n,{numBuckets:s}=a,i=t.readSync(r.dataId),o=B0(i,s),l=t.makeOutput(r.shape,"int32");return t.typedArrayFromHeap(l).set(o),l}var Aue={kernelName:Sc,backendName:"wasm",kernelFunc:Eue},$ue=!0,Fue=cn(uo,$ue),AA;function Due(e){AA=e.wasm.cwrap(io,null,["number","number","number","number"])}function Rue(e){let{backend:t,inputs:n,attrs:a}=e,{axis:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:d,originalAxes:c,inputWasTransposed:h}=Es(i,r,t),m=d;if(h){let x=t.dataIdMap.get(p.dataId).id;x!==o&&(u=p,l=x,m=N.getInnerMostAxes(m.length,u.shape.length))}N.assertAxesAreInnerMostDims("sum",m,u.shape.length);let[f,g]=N.computeOutAndReduceShapes(u.shape,m),b=v.sizeFromShape(g),y=t.makeOutput(f,u.dtype);if(v.sizeFromShape(u.shape)!==0){let x=t.dataIdMap.get(y.dataId).id;AA(l,b,Et[y.dtype],x)}if(h&&t.disposeData(p.dataId),s){let x=N.expandShapeToKeepDim(y.shape,c);y.shape=x}return y}var Mue={kernelName:io,backendName:"wasm",setupFunc:Due,kernelFunc:Rue},Pue=nn(po),Oue=nn(co),$A;function Lue(e){$A=e.wasm.cwrap(bs,null,["number","array","number","array","number","number"])}function zue(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,s=n.dataIdMap.get(r.dataId).id,{reps:i}=a,o=new Array(r.shape.length);for(let c=0;c{let{x:a}=e,{k:r,sorted:s}=n,i=t.dataIdMap.get(a.dataId).id,o=new Uint8Array(new Int32Array(a.shape).buffer),l=a.shape.slice();l[l.length-1]=r;let u=t.makeOutput(l,a.dtype),p=t.dataIdMap.get(u.dataId).id,d=t.makeOutput(l,"int32"),c=t.dataIdMap.get(d.dataId).id;return FA(i,o,a.shape.length,Et[a.dtype],r,s,p,c),[u,d]},Uue={kernelName:Au,backendName:"wasm",setupFunc:Wue,kernelFunc:Vue},DA;function Gue(e){DA=e.wasm.cwrap($u,null,["number","number","bool","number","number","number","number","number","number","array","number","array","number","number","number","number","number"])}function Hue(e){let{backend:t,inputs:n,attrs:a}=e,{image:r,transforms:s}=n,{interpolation:i,fillMode:o,fillValue:l,outputShape:u}=a,[p,d,c,h]=r.shape,[m,f]=u!=null?u:[d,c],g=[p,m,f,h],b=new Uint8Array(new Int32Array(v.computeStrides(r.shape)).buffer),y=new Uint8Array(new Int32Array(v.computeStrides(g)).buffer),x=t.makeOutput(g,r.dtype),w=t.dataIdMap.get(x.dataId).id,I=t.dataIdMap.get(r.dataId).id,T=t.dataIdMap.get(s.dataId).id,C=i==="nearest"?1:2,E;switch(o){case"constant":E=1;break;case"reflect":E=2;break;case"wrap":E=3;break;case"nearest":E=4;break;default:E=1;break}return DA(I,T,s.shape[0]>1,p,m,f,h,c,d,b,r.shape.length-1,y,g.length-1,C,E,l,w),x}var jue={kernelName:$u,backendName:"wasm",setupFunc:Gue,kernelFunc:Hue};function que(e){let{inputs:t,backend:n,attrs:a}=e,{value:r}=t,{axis:s}=a;s<0&&(s+=r.shape.length);let i=r.shape[s],o=r.shape.length,l=new Array(o-1),u=0;for(let h=0;h({dataId:h,dtype:m,shape:l}))}var Kue={kernelName:Fu,backendName:"wasm",kernelFunc:que};function Xue(e){let{inputs:{x:t},backend:n}=e,a=n.makeOutput(t.shape,t.dtype);return n.typedArrayFromHeap(a).fill(0),a}var Yue={kernelName:Du,backendName:"wasm",kernelFunc:Xue},Zue=[Tse,Nse,_se,$se,zse,Vse,Hse,Kse,Jse,rie,sie,iie,uie,pie,hie,gie,bie,yie,wie,Sie,Cie,Aie,Die,Rie,Pie,Oie,Lie,zie,Vie,Uie,Hie,Kie,Zie,eoe,aoe,ioe,loe,poe,Fse,hoe,foe,boe,yoe,voe,woe,Ioe,Toe,_oe,Aoe,Doe,Poe,zoe,Woe,Goe,joe,qoe,Yoe,Qoe,nle,rle,ole,ule,cle,dA,fle,yle,wle,Ile,Tle,Nle,Cle,Xse,Ale,Dle,Ple,zle,Ble,Wle,Gle,qle,Yle,Zle,nie,eue,nue,sue,lue,pue,due,mue,fue,gue,yue,wue,Sue,Nue,_ue,Aue,Fue,Mue,Pue,Oue,Bue,Uue,jue,Pse,Kue,Yue];for(let e of Zue)Nc(e);var kx=H();kx.registerFlag("WASM_HAS_SIMD_SUPPORT",async()=>{try{return WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,10,9,1,7,0,65,0,253,15,26,11]))}catch(e){return!1}});kx.registerFlag("WASM_HAS_MULTITHREAD_SUPPORT",async()=>{if(kx.get("IS_NODE"))return!1;try{return new MessageChannel().port1.postMessage(new SharedArrayBuffer(1)),WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,5,4,1,3,1,1,10,11,1,9,0,65,0,254,16,2,0,26,11]))}catch(e){return!1}});var EI=hs(NF()),Jue=hs(CF()),AI=hs(_F()),$I=EI.default||EI,Que=AI.default||AI,RA=class extends lc{constructor(e){super(),this.wasm=e,this.dataIdNextNumber=1,this.wasm.tfjs.initWithThreadsCount(MA),Ix=this.wasm.tfjs.getThreadsCount(),this.dataIdMap=new im(this,er())}write(e,t,n){let a={id:this.dataIdNextNumber++};return this.move(a,e,t,n,1),a}numDataIds(){return this.dataIdMap.numDataIds()}async time(e){let t=v.now();return e(),{kernelMs:v.now()-t}}move(e,t,n,a,r){let s=this.dataIdNextNumber++;if(a==="string"){let u=t;this.dataIdMap.set(e,{id:s,stringBytes:u,shape:n,dtype:a,memoryOffset:null,refCount:r});return}let i=v.sizeFromShape(n),o=i*v.bytesPerElement(a),l=this.wasm._malloc(o);this.dataIdMap.set(e,{id:s,memoryOffset:l,shape:n,dtype:a,refCount:r}),this.wasm.tfjs.registerTensor(s,i,l),t!=null&&this.wasm.HEAPU8.set(new Uint8Array(t.buffer,t.byteOffset,o),l)}async read(e){return this.readSync(e)}readSync(e,t,n){let{memoryOffset:a,dtype:r,shape:s,stringBytes:i}=this.dataIdMap.get(e);if(r==="string")return(t==null||t===0)&&(n==null||n>=i.length)?i:i.slice(t,n);t=t||0,n=n||v.sizeFromShape(s);let o=v.bytesPerElement(r),l=this.wasm.HEAPU8.slice(a+t*o,a+n*o);return npe(l.buffer,r)}disposeData(e,t=!1){if(this.dataIdMap.has(e)){let n=this.dataIdMap.get(e);if(n.refCount--,!t&&n.refCount>0)return!1;this.wasm._free(n.memoryOffset),this.wasm.tfjs.disposeData(n.id),this.dataIdMap.delete(e)}return!0}refCount(e){return this.dataIdMap.has(e)?this.dataIdMap.get(e).refCount:0}incRef(e){let t=this.dataIdMap.get(e);t!=null&&t.refCount++}floatPrecision(){return 32}getMemoryOffset(e){return this.dataIdMap.get(e).memoryOffset}dispose(){this.wasm.tfjs.dispose(),"PThread"in this.wasm&&this.wasm.PThread.terminateAllThreads(),this.wasm=null}memory(){return{unreliable:!1}}makeOutput(e,t,n){let a;if(n==null)a=this.write(null,e,t);else{let r=this.dataIdNextNumber++;a={id:r},this.dataIdMap.set(a,{id:r,memoryOffset:n,shape:e,dtype:t,refCount:1});let s=v.sizeFromShape(e);this.wasm.tfjs.registerTensor(r,s,n)}return{dataId:a,shape:e,dtype:t}}typedArrayFromHeap({shape:e,dtype:t,dataId:n}){let a=this.wasm.HEAPU8.buffer,{memoryOffset:r}=this.dataIdMap.get(n),s=v.sizeFromShape(e);switch(t){case"float32":return new Float32Array(a,r,s);case"int32":return new Int32Array(a,r,s);case"bool":return new Uint8Array(a,r,s);default:throw new Error(`Unknown dtype ${t}`)}}};function epe(e){return(t,n)=>(v.fetch(e,{credentials:"same-origin"}).then(a=>{a.ok||t.env.a(`failed to load wasm binary file at '${e}'`),a.arrayBuffer().then(r=>{WebAssembly.instantiate(r,t).then(s=>{n(s.instance,s.module)})})}),{})}function FI(e,t,n){if(rm!=null)return rm;let a="tfjs-backend-wasm.wasm";return e&&t?a="tfjs-backend-wasm-threaded-simd.wasm":e&&(a="tfjs-backend-wasm-simd.wasm"),Up!=null&&Up[a]!=null?Up[a]:n+a}async function tpe(){let[e,t]=await Promise.all([H().getAsync("WASM_HAS_SIMD_SUPPORT"),H().getAsync("WASM_HAS_MULTITHREAD_SUPPORT")]);return new Promise((n,a)=>{let r={};r.locateFile=(o,l)=>{if(o.endsWith(".worker.js")){let u=Jue.wasmWorkerContents.replace(/\n/g,"\\n"),p=new Blob([u],{type:"application/javascript"});return URL.createObjectURL(p)}return o.endsWith(".wasm")?FI(e,t,Bp!=null?Bp:l):l+o},i1&&(r.instantiateWasm=epe(FI(e,t,Bp!=null?Bp:"")));let s=!1;r.onAbort=()=>{s||Gp||(Gp=!0,a({message:"Make sure the server can serve the `.wasm` file relative to the bundled js file. For more details see https://github.com/tensorflow/tfjs/blob/master/tfjs-backend-wasm/README.md#using-bundlers"}))};let i;t&&e&&rm==null?(r.mainScriptUrlOrBlob=new Blob(["var WasmBackendModuleThreadedSimd = "+$I.toString()],{type:"text/javascript"}),i=$I(r)):i=Que(r),i.then(o=>{s=!0,Gp=!1;let l=null;o.tfjs={init:o.cwrap("init",null,[]),initWithThreadsCount:o.cwrap("init_with_threads_count",null,["number"]),getThreadsCount:o.cwrap("get_threads_count","number",[]),registerTensor:o.cwrap("register_tensor",null,["number","number","number"]),disposeData:o.cwrap("dispose_data",l,["number"]),dispose:o.cwrap("dispose",l,[])},n({wasm:o})}).catch(a)})}function npe(e,t){switch(t){case"float32":return new Float32Array(e);case"int32":return new Int32Array(e);case"bool":return new Uint8Array(e);default:throw new Error(`Unknown dtype ${t}`)}}var ape=["tfjs-backend-wasm.wasm","tfjs-backend-wasm-simd.wasm","tfjs-backend-wasm-threaded-simd.wasm"],rm=null,Bp=null,Up={},Gp=!1,i1=!1;function rpe(e,t=!1){if(Bx("setWasmPath has been deprecated in favor of setWasmPaths and will be removed in a future release."),Gp)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPath()` before you call `tf.setBackend()` or `tf.ready()`");rm=e,i1=t}function spe(e,t=!1){if(Gp)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPaths()` before you call `tf.setBackend()` or `tf.ready()`");if(typeof e=="string")Bp=e;else{Up=e;let n=ape.filter(a=>Up[a]==null);if(n.length>0)throw new Error(`There were no entries found for the following binaries: ${n.join(",")}. Please either call setWasmPaths with a map providing a path for each binary, or with a string indicating the directory where all the binaries can be found.`)}i1=t}var MA=-1,Ix=-1;function ipe(e){MA=e}function ope(){if(Ix===-1)throw new Error("WASM backend not initialized.");return Ix}var lpe="3.21.0",upe=2;Vm("wasm",async()=>{let{wasm:e}=await tpe();return new RA(e)},upe);var ppe="3.21.0",cpe="3.21.0",dpe="3.21.0",hpe="3.21.0",mpe="3.21.0",fpe="3.21.0",gpe="3.21.0",bpe="3.21.0",ype={tfjs:ppe,"tfjs-core":cpe,"tfjs-data":dpe,"tfjs-layers":hpe,"tfjs-converter":mpe,"tfjs-backend-cpu":fpe,"tfjs-backend-webgl":gpe,"tfjs-backend-wasm":bpe};var $1={};ah($1,{AnchorPosition:()=>k1,DrawBox:()=>hd,DrawBoxOptions:()=>tg,DrawFaceLandmarks:()=>dg,DrawFaceLandmarksOptions:()=>cg,DrawTextField:()=>Lr,DrawTextFieldOptions:()=>sp,drawContour:()=>Mr,drawDetections:()=>Cpe,drawFaceExpressions:()=>Fpe,drawFaceLandmarks:()=>Rpe});function Mr(e,t,n=!1){if(e.beginPath(),t.slice(1).forEach(({x:a,y:r},s)=>{let i=t[s];e.moveTo(i.x,i.y),e.lineTo(a,r)}),n){let a=t[t.length-1],r=t[0];if(!a||!r)return;e.moveTo(a.x,a.y),e.lineTo(r.x,r.y)}e.stroke()}var p1={};ah(p1,{computeReshapedDimensions:()=>u1,getCenterPoint:()=>To,isDimensions:()=>Qf,isEven:()=>Jf,isFloat:()=>l1,isTensor:()=>Io,isTensor1D:()=>xpe,isTensor2D:()=>o1,isTensor3D:()=>Pr,isTensor4D:()=>xa,isValidNumber:()=>Ka,isValidProbablitiy:()=>np,range:()=>mr,round:()=>So});var bn=class{constructor(t,n){if(!Ka(t)||!Ka(n))throw new Error(`Dimensions.constructor - expected width and height to be valid numbers, instead have ${JSON.stringify({width:t,height:n})}`);this._width=t,this._height=n}get width(){return this._width}get height(){return this._height}reverse(){return new bn(1/this.width,1/this.height)}};function Io(e,t){return e instanceof Te&&e.shape.length===t}function xpe(e){return Io(e,1)}function o1(e){return Io(e,2)}function Pr(e){return Io(e,3)}function xa(e){return Io(e,4)}function l1(e){return e%1!==0}function Jf(e){return e%2===0}function So(e,t=2){let n=10**t;return Math.floor(e*n)/n}function Qf(e){return e&&e.width&&e.height}function u1({width:e,height:t},n){let a=n/Math.max(t,e);return new bn(Math.round(e*a),Math.round(t*a))}function To(e){return e.reduce((t,n)=>t.add(n),new Fe(0,0)).div(new Fe(e.length,e.length))}function mr(e,t,n){return Array(e).fill(0).map((a,r)=>t+r*n)}function Ka(e){return!!e&&e!==1/0&&e!==-1/0&&!Number.isNaN(e)||e===0}function np(e){return Ka(e)&&e>=0&&e<=1}var Fe=class{constructor(t,n){this._x=t,this._y=n}get x(){return this._x}get y(){return this._y}add(t){return new Fe(this.x+t.x,this.y+t.y)}sub(t){return new Fe(this.x-t.x,this.y-t.y)}mul(t){return new Fe(this.x*t.x,this.y*t.y)}div(t){return new Fe(this.x/t.x,this.y/t.y)}abs(){return new Fe(Math.abs(this.x),Math.abs(this.y))}magnitude(){return Math.sqrt(this.x**2+this.y**2)}floor(){return new Fe(Math.floor(this.x),Math.floor(this.y))}};var st=class{static isRect(t){return!!t&&[t.x,t.y,t.width,t.height].every(Ka)}static assertIsValidBox(t,n,a=!1){if(!st.isRect(t))throw new Error(`${n} - invalid box: ${JSON.stringify(t)}, expected object with properties x, y, width, height`);if(!a&&(t.width<0||t.height<0))throw new Error(`${n} - width (${t.width}) and height (${t.height}) must be positive numbers`)}constructor(t,n=!0){let a=t||{},r=[a.left,a.top,a.right,a.bottom].every(Ka),s=[a.x,a.y,a.width,a.height].every(Ka);if(!s&&!r)throw new Error(`Box.constructor - expected box to be IBoundingBox | IRect, instead have ${JSON.stringify(a)}`);let[i,o,l,u]=s?[a.x,a.y,a.width,a.height]:[a.left,a.top,a.right-a.left,a.bottom-a.top];st.assertIsValidBox({x:i,y:o,width:l,height:u},"Box.constructor",n),this._x=i,this._y=o,this._width=l,this._height=u}get x(){return this._x}get y(){return this._y}get width(){return this._width}get height(){return this._height}get left(){return this.x}get top(){return this.y}get right(){return this.x+this.width}get bottom(){return this.y+this.height}get area(){return this.width*this.height}get topLeft(){return new Fe(this.left,this.top)}get topRight(){return new Fe(this.right,this.top)}get bottomLeft(){return new Fe(this.left,this.bottom)}get bottomRight(){return new Fe(this.right,this.bottom)}round(){let[t,n,a,r]=[this.x,this.y,this.width,this.height].map(s=>Math.round(s));return new st({x:t,y:n,width:a,height:r})}floor(){let[t,n,a,r]=[this.x,this.y,this.width,this.height].map(s=>Math.floor(s));return new st({x:t,y:n,width:a,height:r})}toSquare(){let{x:t,y:n,width:a,height:r}=this,s=Math.abs(a-r);return an&&(o=-d+n+a,d=n),c>t&&(l=-c+t+r,c=t),u<1&&(l=2-u,u=1),p<1&&(l=2-p,p=1),{dy:i,edy:l,dx:s,edx:o,y:p,ey:c,x:u,ex:d,w:a,h:r}}calibrate(t){return new st({left:this.left+t.left*this.width,top:this.top+t.top*this.height,right:this.right+t.right*this.width,bottom:this.bottom+t.bottom*this.height}).toSquare().round()}};var No=class extends st{constructor(t,n,a,r,s=!1){super({left:t,top:n,right:a,bottom:r},s)}};var Or=class{constructor(t,n,a,r,s){this._imageDims=new bn(s.width,s.height),this._score=t,this._classScore=n,this._className=a,this._box=new st(r).rescale(this._imageDims)}get score(){return this._score}get classScore(){return this._classScore}get className(){return this._className}get box(){return this._box}get imageDims(){return this._imageDims}get imageWidth(){return this.imageDims.width}get imageHeight(){return this.imageDims.height}get relativeBox(){return new st(this._box).rescale(this.imageDims.reverse())}forSize(t,n){return new Or(this.score,this.classScore,this.className,this.relativeBox,{width:t,height:n})}};var bt=class extends Or{constructor(t,n,a){super(t,t,"",n,a)}forSize(t,n){let{score:a,relativeBox:r,imageDims:s}=super.forSize(t,n);return new bt(a,r,s)}};function c1(e,t,n=!0){let a=Math.max(0,Math.min(e.right,t.right)-Math.max(e.left,t.left)),r=Math.max(0,Math.min(e.bottom,t.bottom)-Math.max(e.top,t.top)),s=a*r;return n?s/(e.area+t.area-s):s/Math.min(e.area,t.area)}function d1(e){let t=e.map(o=>o.x),n=e.map(o=>o.y),a=t.reduce((o,l)=>lloo({score:i,boxIndex:o})).sort((i,o)=>i.score-o.score).map(i=>i.boxIndex),s=[];for(;r.length>0;){let i=r.pop();s.push(i);let o=r,l=[];for(let u=0;ul[p]<=n)}return s}function Xa(e,t){return P(()=>{let[n,a,r]=t,s=gn([...e.shape.slice(0,3),1],n,"float32"),i=gn([...e.shape.slice(0,3),1],a,"float32"),o=gn([...e.shape.slice(0,3),1],r,"float32"),l=Ze([s,i,o],3);return pe(e,l)})}function m1(e,t=!1){return P(()=>{let[n,a]=e.shape.slice(1);if(n===a)return e;let r=Math.abs(n-a),s=Math.round(r*(t?.5:1)),i=n>a?2:1,o=c=>{let h=e.shape.slice();return h[i]=c,gn(h,0,"float32")},l=o(s),u=r-l.shape[i],d=[t&&u?o(u):null,e,l].filter(c=>!!c).map(c=>oe(c,"float32"));return Ze(d,i)})}function vpe(e){let t=e.slice();for(let n=t.length-1;n>0;n--){let a=Math.floor(Math.random()*(n+1)),r=t[n];t[n]=t[a],t[a]=r}return t}function cd(e){return 1/(1+Math.exp(-e))}function wpe(e){return Math.log(e/(1-e))}var Co=class extends st{constructor(t,n,a,r,s=!1){super({x:t,y:n,width:a,height:r},s)}};var kpe=.5,Ipe=.43,Spe=.45,aa=class{constructor(t,n,a=new Fe(0,0)){let{width:r,height:s}=n;this._imgDims=new bn(r,s),this._shift=a,this._positions=t.map(i=>i.mul(new Fe(r,s)).add(a))}get shift(){return new Fe(this._shift.x,this._shift.y)}get imageWidth(){return this._imgDims.width}get imageHeight(){return this._imgDims.height}get positions(){return this._positions}get relativePositions(){return this._positions.map(t=>t.sub(this._shift).div(new Fe(this.imageWidth,this.imageHeight)))}forSize(t,n){return new this.constructor(this.relativePositions,{width:t,height:n})}shiftBy(t,n){return new this.constructor(this.relativePositions,this._imgDims,new Fe(t,n))}shiftByPoint(t){return this.shiftBy(t.x,t.y)}align(t,n={}){if(t){let s=t instanceof bt?t.box.floor():new st(t);return this.shiftBy(s.x,s.y).align(null,n)}let{useDlibAlignment:a,minBoxPadding:r}={useDlibAlignment:!1,minBoxPadding:.2,...n};return a?this.alignDlib():this.alignMinBbox(r)}alignDlib(){let t=this.getRefPointsForAlignment(),[n,a,r]=t,s=d=>r.sub(d).magnitude(),i=(s(n)+s(a))/2,o=Math.floor(i/Spe),l=To(t),u=Math.floor(Math.max(0,l.x-kpe*o)),p=Math.floor(Math.max(0,l.y-Ipe*o));return new Co(u,p,Math.min(o,this.imageWidth+u),Math.min(o,this.imageHeight+p))}alignMinBbox(t){let n=d1(this.positions);return n.pad(n.width*t,n.height*t)}getRefPointsForAlignment(){throw new Error("getRefPointsForAlignment not implemented by base class")}};var f1=class extends aa{getRefPointsForAlignment(){let t=this.positions;return[t[0],t[1],To([t[3],t[4]])]}};var _o=class extends aa{getJawOutline(){return this.positions.slice(0,17)}getLeftEyeBrow(){return this.positions.slice(17,22)}getRightEyeBrow(){return this.positions.slice(22,27)}getNose(){return this.positions.slice(27,36)}getLeftEye(){return this.positions.slice(36,42)}getRightEye(){return this.positions.slice(42,48)}getMouth(){return this.positions.slice(48,68)}getRefPointsForAlignment(){return[this.getLeftEye(),this.getRightEye(),this.getMouth()].map(To)}};var ap=class{constructor(t,n){this._label=t,this._distance=n}get label(){return this._label}get distance(){return this._distance}toString(t=!0){return`${this.label}${t?` (${So(this.distance)})`:""}`}};var rp=class extends st{constructor(n,a){super(n);this._label=a}static assertIsValidLabeledBox(n,a){if(st.assertIsValidBox(n,a),!Ka(n.label))throw new Error(`${a} - expected property label (${n.label}) to be a number`)}get label(){return this._label}};var fr=class{constructor(t,n){if(typeof t!="string")throw new Error("LabeledFaceDescriptors - constructor expected label to be a string");if(!Array.isArray(n)||n.some(a=>!(a instanceof Float32Array)))throw new Error("LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array");this._label=t,this._descriptors=n}get label(){return this._label}get descriptors(){return this._descriptors}toJSON(){return{label:this.label,descriptors:this.descriptors.map(t=>Array.from(t))}}static fromJSON(t){let n=t.descriptors.map(a=>new Float32Array(a));return new fr(t.label,n)}};var g1=class extends rp{constructor(n,a,r,s){super(n,a);this._score=r,this._classScore=s}static assertIsValidPredictedBox(n,a){if(rp.assertIsValidLabeledBox(n,a),!np(n.score)||!np(n.classScore))throw new Error(`${a} - expected properties score (${n.score}) and (${n.classScore}) to be a number between [0, 1]`)}get score(){return this._score}get classScore(){return this._classScore}};function gr(e){return e.detection instanceof bt}function Eo(e,t){return{...e,...{detection:t}}}function b1(){let e=window.fetch;if(!e)throw new Error("fetch - missing fetch implementation for browser environment");return{Canvas:HTMLCanvasElement,CanvasRenderingContext2D,Image:HTMLImageElement,ImageData,Video:HTMLVideoElement,createCanvasElement:()=>document.createElement("canvas"),createImageElement:()=>document.createElement("img"),createVideoElement:()=>document.createElement("video"),fetch:e,readFile:()=>{throw new Error("readFile - filesystem not available for browser environment")}}}function dd(){return typeof global=="object"&&typeof process!="undefined"&&process.versions!=null&&process.versions.node!=null}function eg(e){let t="";if(!e&&dd())try{e=Kr("fs")}catch(a){t=a.toString()}return{readFile:e?a=>new Promise((r,s)=>{e.readFile(a,(i,o)=>i?s(i):r(o))}):()=>{throw new Error(`readFile - failed to require fs in nodejs environment with error: ${t}`)}}}function y1(){let e=global.Canvas||global.HTMLCanvasElement,t=global.Image||global.HTMLImageElement,n=global.Video||global.HTMLVideoElement,a=()=>{if(e)return new e;throw new Error("createCanvasElement - missing Canvas implementation for nodejs environment")},r=()=>{if(t)return new t;throw new Error("createImageElement - missing Image implementation for nodejs environment")},s=()=>{if(n)return new n;throw new Error("createVideoElement - missing Video implementation for nodejs environment")},i=global.fetch,o=eg();return{Canvas:e||class{},CanvasRenderingContext2D:global.CanvasRenderingContext2D||class{},Image:t||class{},ImageData:global.ImageData||class{},Video:global.HTMLVideoElement||class{},createCanvasElement:a,createImageElement:r,createVideoElement:s,fetch:i,...o}}function x1(){return typeof window=="object"&&typeof document!="undefined"&&typeof HTMLImageElement!="undefined"&&typeof HTMLCanvasElement!="undefined"&&typeof HTMLVideoElement!="undefined"&&typeof ImageData!="undefined"&&typeof CanvasRenderingContext2D!="undefined"}var an;function Tpe(){if(!an)throw new Error("getEnv - environment is not defined, check isNodejs() and isBrowser()");return an}function v1(e){an=e}function w1(){return x1()?v1(b1()):dd()?v1(y1()):null}function Npe(e){if(an||w1(),!an)throw new Error("monkeyPatch - environment is not defined, check isNodejs() and isBrowser()");let{Canvas:t=an.Canvas,Image:n=an.Image}=e;an.Canvas=t,an.Image=n,an.createCanvasElement=e.createCanvasElement||(()=>new t),an.createImageElement=e.createImageElement||(()=>new n),an.ImageData=e.ImageData||an.ImageData,an.Video=e.Video||an.Video,an.fetch=e.fetch||an.fetch,an.readFile=e.readFile||an.readFile}var Je={getEnv:Tpe,setEnv:v1,initialize:w1,createBrowserEnv:b1,createFileSystem:eg,createNodejsEnv:y1,monkeyPatch:Npe,isBrowser:x1,isNodejs:dd};w1();function Ao(e){return!Je.isNodejs()&&typeof e=="string"?document.getElementById(e):e}function Gn(e){let{Canvas:t,CanvasRenderingContext2D:n}=Je.getEnv();if(e instanceof n)return e;let a=Ao(e);if(!(a instanceof t))throw new Error("resolveContext2d - expected canvas to be of instance of Canvas");let r=a.getContext("2d");if(!r)throw new Error("resolveContext2d - canvas 2d context is null");return r}var k1=(r=>(r.TOP_LEFT="TOP_LEFT",r.TOP_RIGHT="TOP_RIGHT",r.BOTTOM_LEFT="BOTTOM_LEFT",r.BOTTOM_RIGHT="BOTTOM_RIGHT",r))(k1||{}),sp=class{constructor(t={}){let{anchorPosition:n,backgroundColor:a,fontColor:r,fontSize:s,fontStyle:i,padding:o}=t;this.anchorPosition=n||"TOP_LEFT",this.backgroundColor=a||"rgba(0, 0, 0, 0.5)",this.fontColor=r||"rgba(255, 255, 255, 1)",this.fontSize=s||14,this.fontStyle=i||"Georgia",this.padding=o||4}},Lr=class{constructor(t,n,a={}){this.text=typeof t=="string"?[t]:t instanceof Lr?t.text:t,this.anchor=n,this.options=new sp(a)}measureWidth(t){let{padding:n}=this.options;return this.text.map(a=>t.measureText(a).width).reduce((a,r)=>a{let m=l+d.x,f=l+d.y+(h+1)*i;a.fillText(c,m,f)})}};var tg=class{constructor(t={}){let{boxColor:n,lineWidth:a,label:r,drawLabelOptions:s}=t;this.boxColor=n||"rgba(0, 0, 255, 1)",this.lineWidth=a||2,this.label=r;let i={anchorPosition:"BOTTOM_LEFT",backgroundColor:this.boxColor};this.drawLabelOptions=new sp({...i,...s})}},hd=class{constructor(t,n={}){this.box=new st(t),this.options=new tg(n)}draw(t){let n=Gn(t),{boxColor:a,lineWidth:r}=this.options,{x:s,y:i,width:o,height:l}=this.box;n.strokeStyle=a,n.lineWidth=r,n.strokeRect(s,i,o,l);let{label:u}=this.options;u&&new Lr([u],{x:s-r/2,y:i},this.options.drawLabelOptions).draw(t)}};function Cpe(e,t){(Array.isArray(t)?t:[t]).forEach(a=>{let r=a instanceof bt?a.score:gr(a)?a.detection.score:void 0,s=a instanceof bt?a.box:gr(a)?a.detection.box:new st(a),i=r?`${So(r)}`:void 0;new hd(s,{label:i}).draw(e)})}function md(e){let{Image:t,Video:n}=Je.getEnv();return e instanceof t&&e.complete||e instanceof n&&e.readyState>=3}function I1(e){return new Promise((t,n)=>{(e instanceof Je.getEnv().Canvas||md(e))&&t(null);function a(s){!s.currentTarget||(s.currentTarget.removeEventListener("load",r),s.currentTarget.removeEventListener("error",a),n(s))}function r(s){!s.currentTarget||(s.currentTarget.removeEventListener("load",r),s.currentTarget.removeEventListener("error",a),t(s))}e.addEventListener("load",r),e.addEventListener("error",a)})}function S1(e){return new Promise((t,n)=>{e instanceof Blob||n(new Error("bufferToImage - expected buf to be of type: Blob"));let a=new FileReader;a.onload=()=>{typeof a.result!="string"&&n(new Error("bufferToImage - expected reader.result to be a string, in onload"));let r=Je.getEnv().createImageElement();r.onload=()=>t(r),r.onerror=n,r.src=a.result},a.onerror=n,a.readAsDataURL(e)})}function $o(e){let{Image:t,Video:n}=Je.getEnv();return e instanceof t?new bn(e.naturalWidth,e.naturalHeight):e instanceof n?new bn(e.videoWidth,e.videoHeight):new bn(e.width,e.height)}function Fo({width:e,height:t}){let{createCanvasElement:n}=Je.getEnv(),a=n();return a.width=e,a.height=t,a}function fd(e,t){let{ImageData:n}=Je.getEnv();if(!(e instanceof n)&&!md(e))throw new Error("createCanvasFromMedia - media has not finished loading yet");let{width:a,height:r}=t||$o(e),s=Fo({width:a,height:r});return e instanceof n?Gn(s).putImageData(e,0,0):Gn(s).drawImage(e,0,0,a,r),s}async function T1(e,t){let n=t||Je.getEnv().createCanvasElement(),[a,r,s]=e.shape.slice(xa(e)?1:0),i=P(()=>e.as3D(a,r,s).toInt());return await ho.toPixels(i,n),i.dispose(),n}function ng(e){let{Image:t,Canvas:n,Video:a}=Je.getEnv();return e instanceof t||e instanceof n||e instanceof a}function N1(e,t,n=!1){let{Image:a,Canvas:r}=Je.getEnv();if(!(e instanceof a||e instanceof r))throw new Error("imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement");if(t<=0)return Fo({width:1,height:1});let s=$o(e),i=t/Math.max(s.height,s.width),o=i*s.width,l=i*s.height,u=Fo({width:t,height:t}),p=e instanceof r?e:fd(e),d=Math.abs(o-l)/2,c=n&&o0&&p.height>0&&Gn(u).drawImage(p,c,h,o,l),u}var br=class{constructor(t,n=!1){this._imageTensors=[];this._canvases=[];this._treatAsBatchInput=!1;this._inputDimensions=[];this._inputSize=0;if(!Array.isArray(t))throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${t}`);this._treatAsBatchInput=n,this._batchSize=t.length,t.forEach((a,r)=>{if(Pr(a)){this._imageTensors[r]=a,this._inputDimensions[r]=a.shape;return}if(xa(a)){let i=a.shape[0];if(i!==1)throw new Error(`NetInput - tf.Tensor4D with batchSize ${i} passed, but not supported in input array`);this._imageTensors[r]=a,this._inputDimensions[r]=a.shape.slice(1);return}let s=a instanceof Je.getEnv().Canvas?a:fd(a);this._canvases[r]=s,this._inputDimensions[r]=[s.height,s.width,3]})}get imageTensors(){return this._imageTensors}get canvases(){return this._canvases}get isBatchInput(){return this.batchSize>1||this._treatAsBatchInput}get batchSize(){return this._batchSize}get inputDimensions(){return this._inputDimensions}get inputSize(){return this._inputSize}get reshapedInputDimensions(){return mr(this.batchSize,0,1).map((t,n)=>this.getReshapedInputDimensions(n))}getInput(t){return this.canvases[t]||this.imageTensors[t]}getInputDimensions(t){return this._inputDimensions[t]}getInputHeight(t){return this._inputDimensions[t][0]}getInputWidth(t){return this._inputDimensions[t][1]}getReshapedInputDimensions(t){if(typeof this.inputSize!="number")throw new Error("getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet");let n=this.getInputWidth(t),a=this.getInputHeight(t);return u1({width:n,height:a},this.inputSize)}toBatchTensor(t,n=!0){return this._inputSize=t,P(()=>{let a=mr(this.batchSize,0,1).map(s=>{let i=this.getInput(s);if(i instanceof Te){let o=xa(i)?i:hn(i);return o=m1(o,n),(o.shape[1]!==t||o.shape[2]!==t)&&(o=Nr.resizeBilinear(o,[t,t],!1,!1)),o.as3D(t,t,3)}if(i instanceof Je.getEnv().Canvas)return ho.fromPixels(N1(i,t,n));throw new Error(`toBatchTensor - at batchIdx ${s}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${i}`)});return Ft(a.map(s=>oe(s,"float32"))).as4D(this.batchSize,t,t,3)})}};async function yt(e){if(e instanceof br)return e;let t=Array.isArray(e)?e:[e];if(!t.length)throw new Error("toNetInput - empty array passed as input");let n=r=>Array.isArray(e)?` at input index ${r}:`:"",a=t.map(Ao);return a.forEach((r,s)=>{if(!ng(r)&&!Pr(r)&&!xa(r))throw typeof t[s]=="string"?new Error(`toNetInput -${n(s)} string passed, but could not resolve HTMLElement for element id ${t[s]}`):new Error(`toNetInput -${n(s)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);if(xa(r)){let i=r.shape[0];if(i!==1)throw new Error(`toNetInput -${n(s)} tf.Tensor4D with batchSize ${i} passed, but not supported in input array`)}}),await Promise.all(a.map(r=>ng(r)&&I1(r))),new br(a,Array.isArray(e))}async function ip(e,t){let{Canvas:n}=Je.getEnv(),a=e;if(!(e instanceof n)){let i=await yt(e);if(i.batchSize>1)throw new Error("extractFaces - batchSize > 1 not supported");let o=i.getInput(0);a=o instanceof n?o:await T1(o)}let r=Gn(a);return t.map(i=>i instanceof bt?i.forSize(a.width,a.height).box.floor():i).map(i=>i.clipAtImageBorders(a.width,a.height)).map(({x:i,y:o,width:l,height:u})=>{let p=Fo({width:l,height:u});return l>0&&u>0&&Gn(p).putImageData(r.getImageData(i,o,l,u),0,0),p})}async function op(e,t){if(!Pr(e)&&!xa(e))throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");if(xa(e)&&e.shape[0]>1)throw new Error("extractFaceTensors - batchSize > 1 not supported");return P(()=>{let[n,a,r]=e.shape.slice(xa(e)?1:0);return t.map(o=>o instanceof bt?o.forSize(a,n).box:o).map(o=>o.clipAtImageBorders(a,n)).filter(o=>o.width>0&&o.height>0).map(({x:o,y:l,width:u,height:p})=>fo(e.as3D(n,a,r),[l,o,0],[p,u,r]))})}async function zr(e,t){let{fetch:n}=Je.getEnv(),a=await n(e,t);if(!(a.status<400))throw new Error(`failed to fetch: (${a.status}) ${a.statusText}, from url: ${a.url}`);return a}async function _pe(e){let t=await zr(e),n=await t.blob();if(!n.type.startsWith("image/"))throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${n.type}, for url: ${t.url}`);return S1(n)}async function C1(e){return(await zr(e)).json()}async function Epe(e){return new Float32Array(await(await zr(e)).arrayBuffer())}function PA(e){return new Promise((t,n)=>{e instanceof Blob||n(new Error("bufferToVideo - expected buf to be of type: Blob"));let a=Je.getEnv().createVideoElement();a.oncanplay=()=>t(a),a.onerror=n,a.playsInline=!0,a.muted=!0,a.src=URL.createObjectURL(e),a.play()})}async function Ape(e){let t=await zr(e),n=await t.blob();if(!n.type.startsWith("video/"))throw new Error(`fetchVideo - expected blob type to be of type video/*, instead have: ${n.type}, for url: ${t.url}`);return PA(n)}function ag(e,t){let n=`${t}-weights_manifest.json`;if(!e)return{modelBaseUri:"",manifestUri:n};if(e==="/")return{modelBaseUri:"/",manifestUri:`/${n}`};let a=e.startsWith("http://")?"http://":e.startsWith("https://")?"https://":"";e=e.replace(a,"");let r=e.split("/").filter(o=>o),s=e.endsWith(".json")?r[r.length-1]:n,i=a+(e.endsWith(".json")?r.slice(0,r.length-1):r).join("/");return i=e.startsWith("/")?`/${i}`:i,{modelBaseUri:i,manifestUri:i==="/"?`/${s}`:`${i}/${s}`}}async function _1(e,t){let{manifestUri:n,modelBaseUri:a}=ag(e,t),r=await C1(n);return Ut.loadWeights(r,a)}function $pe(e,t,n=!1){let{width:a,height:r}=n?$o(t):t;return e.width=a,e.height=r,{width:a,height:r}}var rn=class{constructor(t){this._params=void 0;this._paramMappings=[];this._name=t}get params(){return this._params}get paramMappings(){return this._paramMappings}get isLoaded(){return!!this.params}getParamFromPath(t){let{obj:n,objProp:a}=this.traversePropertyPath(t);return n[a]}reassignParamFromPath(t,n){let{obj:a,objProp:r}=this.traversePropertyPath(t);a[r].dispose(),a[r]=n}getParamList(){return this._paramMappings.map(({paramPath:t})=>({path:t,tensor:this.getParamFromPath(t)}))}getTrainableParams(){return this.getParamList().filter(t=>t.tensor instanceof ss)}getFrozenParams(){return this.getParamList().filter(t=>!(t.tensor instanceof ss))}variable(){this.getFrozenParams().forEach(({path:t,tensor:n})=>{this.reassignParamFromPath(t,n.variable())})}freeze(){this.getTrainableParams().forEach(({path:t,tensor:n})=>{let a=On(n.dataSync());n.dispose(),this.reassignParamFromPath(t,a)})}dispose(t=!0){this.getParamList().forEach(n=>{if(t&&n.tensor.isDisposed)throw new Error(`param tensor has already been disposed for path ${n.path}`);n.tensor.dispose()}),this._params=void 0}serializeParams(){return new Float32Array(this.getParamList().map(({tensor:t})=>Array.from(t.dataSync())).reduce((t,n)=>t.concat(n)))}async load(t){if(t instanceof Float32Array){this.extractWeights(t);return}await this.loadFromUri(t)}async loadFromUri(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromUri - expected model uri`);let n=await _1(t,this.getDefaultModelName());this.loadFromWeightMap(n)}async loadFromDisk(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromDisk - expected model file path`);let{readFile:n}=Je.getEnv(),{manifestUri:a,modelBaseUri:r}=ag(t,this.getDefaultModelName()),s=u=>Promise.all(u.map(p=>n(p).then(d=>d.buffer))),i=Ut.weightsLoaderFactory(s),o=JSON.parse((await n(a)).toString()),l=await i(o,r);this.loadFromWeightMap(l)}loadFromWeightMap(t){let{paramMappings:n,params:a}=this.extractParamsFromWeightMap(t);this._paramMappings=n,this._params=a}extractWeights(t){let{paramMappings:n,params:a}=this.extractParams(t);this._paramMappings=n,this._params=a}traversePropertyPath(t){if(!this.params)throw new Error("traversePropertyPath - model has no loaded params");let n=t.split("/").reduce((s,i)=>{if(!s.nextObj.hasOwnProperty(i))throw new Error(`traversePropertyPath - object does not have property ${i}, for path ${t}`);return{obj:s.nextObj,objProp:i,nextObj:s.nextObj[i]}},{nextObj:this.params}),{obj:a,objProp:r}=n;if(!a||!r||!(a[r]instanceof Te))throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${t}`);return{obj:a,objProp:r}}};function Hn(e,t,n){return P(()=>{let a=Ts(e,t.depthwise_filter,t.pointwise_filter,n,"same");return a=Y(a,t.bias),a})}function rg(e,t,n=!1){return P(()=>{let a=Xe(n?Y($t(e,t.conv0.filters,[2,2],"same"),t.conv0.bias):Hn(e,t.conv0,[2,2])),r=Hn(a,t.conv1,[1,1]),s=Xe(Y(a,r)),i=Hn(s,t.conv2,[1,1]);return Xe(Y(a,Y(r,i)))})}function gd(e,t,n=!1,a=!0){return P(()=>{let r=Xe(n?Y($t(e,t.conv0.filters,a?[2,2]:[1,1],"same"),t.conv0.bias):Hn(e,t.conv0,a?[2,2]:[1,1])),s=Hn(r,t.conv1,[1,1]),i=Xe(Y(r,s)),o=Hn(i,t.conv2,[1,1]),l=Xe(Y(r,Y(s,o))),u=Hn(l,t.conv3,[1,1]);return Xe(Y(r,Y(s,Y(o,u))))})}function Do(e,t,n="same",a=!1){return P(()=>{let r=Y($t(e,t.filters,[1,1],n),t.bias);return a?Xe(r):r})}function _n(e,t){Object.keys(e).forEach(n=>{t.some(a=>a.originalPath===n)||e[n].dispose()})}function lp(e,t){return(n,a,r,s)=>{let i=Fa(e(n*a*r*r),[r,r,n,a]),o=Ke(e(a));return t.push({paramPath:`${s}/filters`},{paramPath:`${s}/bias`}),{filters:i,bias:o}}}function sg(e,t){return(n,a,r)=>{let s=Ea(e(n*a),[n,a]),i=Ke(e(a));return t.push({paramPath:`${r}/weights`},{paramPath:`${r}/bias`}),{weights:s,bias:i}}}var bd=class{constructor(t,n,a){this.depthwise_filter=t;this.pointwise_filter=n;this.bias=a}};function up(e,t){return(n,a,r)=>{let s=Fa(e(9*n),[3,3,n,1]),i=Fa(e(n*a),[1,1,n,a]),o=Ke(e(a));return t.push({paramPath:`${r}/depthwise_filter`},{paramPath:`${r}/pointwise_filter`},{paramPath:`${r}/bias`}),new bd(s,i,o)}}function pp(e){return t=>{let n=e(`${t}/depthwise_filter`,4),a=e(`${t}/pointwise_filter`,4),r=e(`${t}/bias`,1);return new bd(n,a,r)}}function ra(e,t){return(n,a,r)=>{let s=e[n];if(!Io(s,a))throw new Error(`expected weightMap[${n}] to be a Tensor${a}D, instead have ${s}`);return t.push({originalPath:n,paramPath:r||n}),s}}function En(e){let t=e;function n(r){let s=t.slice(0,r);return t=t.slice(r),s}function a(){return t}return{extractWeights:n,getRemainingWeights:a}}function ig(e,t){let n=lp(e,t),a=up(e,t);function r(i,o,l,u=!1){let p=u?n(i,o,3,`${l}/conv0`):a(i,o,`${l}/conv0`),d=a(o,o,`${l}/conv1`),c=a(o,o,`${l}/conv2`);return{conv0:p,conv1:d,conv2:c}}function s(i,o,l,u=!1){let{conv0:p,conv1:d,conv2:c}=r(i,o,l,u),h=a(o,o,`${l}/conv3`);return{conv0:p,conv1:d,conv2:c,conv3:h}}return{extractDenseBlock3Params:r,extractDenseBlock4Params:s}}function OA(e){let t=[],{extractWeights:n,getRemainingWeights:a}=En(e),{extractDenseBlock4Params:r}=ig(n,t),s=r(3,32,"dense0",!0),i=r(32,64,"dense1"),o=r(64,128,"dense2"),l=r(128,256,"dense3");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:t,params:{dense0:s,dense1:i,dense2:o,dense3:l}}}function og(e){return t=>{let n=e(`${t}/filters`,4),a=e(`${t}/bias`,1);return{filters:n,bias:a}}}function lg(e,t){let n=ra(e,t),a=og(n),r=pp(n);function s(o,l=!1){let u=l?a(`${o}/conv0`):r(`${o}/conv0`),p=r(`${o}/conv1`),d=r(`${o}/conv2`);return{conv0:u,conv1:p,conv2:d}}function i(o,l=!1){let u=l?a(`${o}/conv0`):r(`${o}/conv0`),p=r(`${o}/conv1`),d=r(`${o}/conv2`),c=r(`${o}/conv3`);return{conv0:u,conv1:p,conv2:d,conv3:c}}return{extractDenseBlock3Params:s,extractDenseBlock4Params:i}}function LA(e){let t=[],{extractDenseBlock4Params:n}=lg(e,t),a={dense0:n("dense0",!0),dense1:n("dense1"),dense2:n("dense2"),dense3:n("dense3")};return _n(e,t),{params:a,paramMappings:t}}var cp=class extends rn{constructor(){super("FaceFeatureExtractor")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("FaceFeatureExtractor - load model before inference");return P(()=>{let a=oe(t.toBatchTensor(112,!0),"float32"),s=Xa(a,[122.782,117.001,104.298]).div(255),i=gd(s,n.dense0,!0);return i=gd(i,n.dense1),i=gd(i,n.dense2),i=gd(i,n.dense3),i=ga(i,[7,7],[2,2],"valid"),i})}async forward(t){return this.forwardInput(await yt(t))}getDefaultModelName(){return"face_feature_extractor_model"}extractParamsFromWeightMap(t){return LA(t)}extractParams(t){return OA(t)}};function yd(e,t){return P(()=>Y(Ae(e,t.weights),t.bias))}function zA(e,t,n){let a=[],{extractWeights:r,getRemainingWeights:s}=En(e),o=sg(r,a)(t,n,"fc");if(s().length!==0)throw new Error(`weights remaing after extract: ${s().length}`);return{paramMappings:a,params:{fc:o}}}function BA(e){let t=[],n=ra(e,t);function a(s){let i=n(`${s}/weights`,2),o=n(`${s}/bias`,1);return{weights:i,bias:o}}let r={fc:a("fc")};return _n(e,t),{params:r,paramMappings:t}}function ug(e){let t={},n={};return Object.keys(e).forEach(a=>{let r=a.startsWith("fc")?n:t;r[a]=e[a]}),{featureExtractorMap:t,classifierMap:n}}var dp=class extends rn{constructor(n,a){super(n);this._faceFeatureExtractor=a}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(n){let{params:a}=this;if(!a)throw new Error(`${this._name} - load model before inference`);return P(()=>{let r=n instanceof br?this.faceFeatureExtractor.forwardInput(n):n;return yd(r.as2D(r.shape[0],-1),a.fc)})}dispose(n=!0){this.faceFeatureExtractor.dispose(n),super.dispose(n)}loadClassifierParams(n){let{params:a,paramMappings:r}=this.extractClassifierParams(n);this._params=a,this._paramMappings=r}extractClassifierParams(n){return zA(n,this.getClassifierChannelsIn(),this.getClassifierChannelsOut())}extractParamsFromWeightMap(n){let{featureExtractorMap:a,classifierMap:r}=ug(n);return this.faceFeatureExtractor.loadFromWeightMap(a),BA(r)}extractParams(n){let a=this.getClassifierChannelsIn(),r=this.getClassifierChannelsOut(),s=r*a+r,i=n.slice(0,n.length-s),o=n.slice(n.length-s);return this.faceFeatureExtractor.extractWeights(i),this.extractClassifierParams(o)}};var E1=["neutral","happy","sad","angry","fearful","disgusted","surprised"],Br=class{constructor(t){this.neutral=0;this.happy=0;this.sad=0;this.angry=0;this.fearful=0;this.disgusted=0;this.surprised=0;if(t.length!==7)throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${t.length}`);E1.forEach((n,a)=>{this[n]=t[a]})}asSortedArray(){return E1.map(t=>({expression:t,probability:this[t]})).sort((t,n)=>n.probability-t.probability)}};var xd=class extends dp{constructor(t=new cp){super("FaceExpressionNet",t)}forwardInput(t){return P(()=>ja(this.runNet(t)))}async forward(t){return this.forwardInput(await yt(t))}async predictExpressions(t){let n=await yt(t),a=await this.forwardInput(n),r=await Promise.all(ct(a).map(async i=>{let o=i.dataSync();return i.dispose(),o}));a.dispose();let s=r.map(i=>new Br(i));return n.isBatchInput?s:s[0]}getDefaultModelName(){return"face_expression_model"}getClassifierChannelsIn(){return 256}getClassifierChannelsOut(){return 7}};function A1(e){return e.expressions instanceof Br}function pg(e,t){return{...e,...{expressions:t}}}function Fpe(e,t,n=.1,a){(Array.isArray(t)?t:[t]).forEach(s=>{let i=s instanceof Br?s:A1(s)?s.expressions:void 0;if(!i)throw new Error("drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof");let l=i.asSortedArray().filter(d=>d.probability>n),u=gr(s)?s.detection.box.bottomLeft:a||new Fe(0,0);new Lr(l.map(d=>`${d.expression} (${So(d.probability)})`),u).draw(e)})}function Ro(e){return gr(e)&&e.landmarks instanceof aa&&e.unshiftedLandmarks instanceof aa&&e.alignedRect instanceof bt}function Dpe(e){let t=(o,l,u,p)=>Math.atan2(p-l,u-o)%Math.PI,n=o=>o*180/Math.PI,a={roll:void 0,pitch:void 0,yaw:void 0};if(!e||!e._positions||e._positions.length!==68)return a;let r=e._positions;a.roll=-t(r[36]._x,r[36]._y,r[45]._x,r[45]._y),a.pitch=t(0,Math.abs(r[0]._x-r[30]._x)/r[30]._x,Math.PI,Math.abs(r[16]._x-r[30]._x)/r[30]._x);let s=r.reduce((o,l)=>oo>l._y?o:l._y,-1/0);return a.yaw=Math.PI*(e._imgDims._height/(i-s)/1.4-1),a}function hp(e,t){let{box:n}=e.detection,a=t.shiftBy(n.x,n.y),r=a.align(),{imageDims:s}=e.detection,i=new bt(e.detection.score,r.rescale(s.reverse()),s),o=Dpe(t);return{...e,...{landmarks:a,unshiftedLandmarks:t,alignedRect:i,angle:o}}}var cg=class{constructor(t={}){let{drawLines:n=!0,drawPoints:a=!0,lineWidth:r,lineColor:s,pointSize:i,pointColor:o}=t;this.drawLines=n,this.drawPoints=a,this.lineWidth=r||1,this.pointSize=i||2,this.lineColor=s||"rgba(0, 255, 255, 1)",this.pointColor=o||"rgba(255, 0, 255, 1)"}},dg=class{constructor(t,n={}){this.faceLandmarks=t,this.options=new cg(n)}draw(t){let n=Gn(t),{drawLines:a,drawPoints:r,lineWidth:s,lineColor:i,pointSize:o,pointColor:l}=this.options;if(a&&this.faceLandmarks instanceof _o&&(n.strokeStyle=i,n.lineWidth=s,Mr(n,this.faceLandmarks.getJawOutline()),Mr(n,this.faceLandmarks.getLeftEyeBrow()),Mr(n,this.faceLandmarks.getRightEyeBrow()),Mr(n,this.faceLandmarks.getNose()),Mr(n,this.faceLandmarks.getLeftEye(),!0),Mr(n,this.faceLandmarks.getRightEye(),!0),Mr(n,this.faceLandmarks.getMouth(),!0)),r){n.strokeStyle=l,n.fillStyle=l;let u=p=>{n.beginPath(),n.arc(p.x,p.y,o,0,2*Math.PI),n.fill()};this.faceLandmarks.positions.forEach(u)}}};function Rpe(e,t){(Array.isArray(t)?t:[t]).forEach(a=>{let r=a instanceof aa?a:Ro(a)?a.landmarks:void 0;if(!r)throw new Error("drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks> or array thereof");new dg(r).draw(e)})}var WA="1.7.4";function Ope(e,t){let n=lp(e,t),a=up(e,t);function r(i,o,l){let u=a(i,o,`${l}/separable_conv0`),p=a(o,o,`${l}/separable_conv1`),d=n(i,o,1,`${l}/expansion_conv`);return{separable_conv0:u,separable_conv1:p,expansion_conv:d}}function s(i,o){let l=a(i,i,`${o}/separable_conv0`),u=a(i,i,`${o}/separable_conv1`),p=a(i,i,`${o}/separable_conv2`);return{separable_conv0:l,separable_conv1:u,separable_conv2:p}}return{extractConvParams:n,extractSeparableConvParams:a,extractReductionBlockParams:r,extractMainBlockParams:s}}function VA(e,t){let n=[],{extractWeights:a,getRemainingWeights:r}=En(e),{extractConvParams:s,extractSeparableConvParams:i,extractReductionBlockParams:o,extractMainBlockParams:l}=Ope(a,n),u=s(3,32,3,"entry_flow/conv_in"),p=o(32,64,"entry_flow/reduction_block_0"),d=o(64,128,"entry_flow/reduction_block_1"),c={conv_in:u,reduction_block_0:p,reduction_block_1:d},h={};mr(t,0,1).forEach(b=>{h[`main_block_${b}`]=l(128,`middle_flow/main_block_${b}`)});let m=o(128,256,"exit_flow/reduction_block"),f=i(256,512,"exit_flow/separable_conv"),g={reduction_block:m,separable_conv:f};if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:n,params:{entry_flow:c,middle_flow:h,exit_flow:g}}}function Lpe(e,t){let n=ra(e,t),a=og(n),r=pp(n);function s(o){let l=r(`${o}/separable_conv0`),u=r(`${o}/separable_conv1`),p=a(`${o}/expansion_conv`);return{separable_conv0:l,separable_conv1:u,expansion_conv:p}}function i(o){let l=r(`${o}/separable_conv0`),u=r(`${o}/separable_conv1`),p=r(`${o}/separable_conv2`);return{separable_conv0:l,separable_conv1:u,separable_conv2:p}}return{extractConvParams:a,extractSeparableConvParams:r,extractReductionBlockParams:s,extractMainBlockParams:i}}function UA(e,t){let n=[],{extractConvParams:a,extractSeparableConvParams:r,extractReductionBlockParams:s,extractMainBlockParams:i}=Lpe(e,n),o=a("entry_flow/conv_in"),l=s("entry_flow/reduction_block_0"),u=s("entry_flow/reduction_block_1"),p={conv_in:o,reduction_block_0:l,reduction_block_1:u},d={};mr(t,0,1).forEach(f=>{d[`main_block_${f}`]=i(`middle_flow/main_block_${f}`)});let c=s("exit_flow/reduction_block"),h=r("exit_flow/separable_conv"),m={reduction_block:c,separable_conv:h};return _n(e,n),{params:{entry_flow:p,middle_flow:d,exit_flow:m},paramMappings:n}}function GA(e,t,n){return Y($t(e,t.filters,n,"same"),t.bias)}function F1(e,t,n=!0){let a=n?Xe(e):e;return a=Hn(a,t.separable_conv0,[1,1]),a=Hn(Xe(a),t.separable_conv1,[1,1]),a=Dt(a,[3,3],[2,2],"same"),a=Y(a,GA(e,t.expansion_conv,[2,2])),a}function zpe(e,t){let n=Hn(Xe(e),t.separable_conv0,[1,1]);return n=Hn(Xe(n),t.separable_conv1,[1,1]),n=Hn(Xe(n),t.separable_conv2,[1,1]),n=Y(n,e),n}var hg=class extends rn{constructor(n){super("TinyXception");this._numMainBlocks=n}forwardInput(n){let{params:a}=this;if(!a)throw new Error("TinyXception - load model before inference");return P(()=>{let r=oe(n.toBatchTensor(112,!0),"float32"),i=Xa(r,[122.782,117.001,104.298]).div(255),o=Xe(GA(i,a.entry_flow.conv_in,[2,2]));return o=F1(o,a.entry_flow.reduction_block_0,!1),o=F1(o,a.entry_flow.reduction_block_1),mr(this._numMainBlocks,0,1).forEach(l=>{o=zpe(o,a.middle_flow[`main_block_${l}`])}),o=F1(o,a.exit_flow.reduction_block),o=Xe(Hn(o,a.exit_flow.separable_conv,[1,1])),o})}async forward(n){return this.forwardInput(await yt(n))}getDefaultModelName(){return"tiny_xception_model"}extractParamsFromWeightMap(n){return UA(n,this._numMainBlocks)}extractParams(n){return VA(n,this._numMainBlocks)}};function HA(e){let t=[],{extractWeights:n,getRemainingWeights:a}=En(e),r=sg(n,t),s=r(512,1,"fc/age"),i=r(512,2,"fc/gender");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:t,params:{fc:{age:s,gender:i}}}}function jA(e){let t=[],n=ra(e,t);function a(s){let i=n(`${s}/weights`,2),o=n(`${s}/bias`,1);return{weights:i,bias:o}}let r={fc:{age:a("fc/age"),gender:a("fc/gender")}};return _n(e,t),{params:r,paramMappings:t}}var mg=(n=>(n.FEMALE="female",n.MALE="male",n))(mg||{});var vd=class extends rn{constructor(n=new hg(2)){super("AgeGenderNet");this._faceFeatureExtractor=n}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(n){let{params:a}=this;if(!a)throw new Error(`${this._name} - load model before inference`);return P(()=>{let r=n instanceof br?this.faceFeatureExtractor.forwardInput(n):n,s=ga(r,[7,7],[2,2],"valid").as2D(r.shape[0],-1),i=yd(s,a.fc.age).as1D(),o=yd(s,a.fc.gender);return{age:i,gender:o}})}forwardInput(n){return P(()=>{let{age:a,gender:r}=this.runNet(n);return{age:a,gender:ja(r)}})}async forward(n){return this.forwardInput(await yt(n))}async predictAgeAndGender(n){let a=await yt(n),r=await this.forwardInput(a),s=ct(r.age),i=ct(r.gender),o=s.map((u,p)=>({ageTensor:u,genderTensor:i[p]})),l=await Promise.all(o.map(async({ageTensor:u,genderTensor:p})=>{let d=u.dataSync()[0],c=p.dataSync()[0],h=c>.5,m=h?"male":"female",f=h?c:1-c;return u.dispose(),p.dispose(),{age:d,gender:m,genderProbability:f}}));return r.age.dispose(),r.gender.dispose(),a.isBatchInput?l:l[0]}getDefaultModelName(){return"age_gender_model"}dispose(n=!0){this.faceFeatureExtractor.dispose(n),super.dispose(n)}loadClassifierParams(n){let{params:a,paramMappings:r}=this.extractClassifierParams(n);this._params=a,this._paramMappings=r}extractClassifierParams(n){return HA(n)}extractParamsFromWeightMap(n){let{featureExtractorMap:a,classifierMap:r}=ug(n);return this.faceFeatureExtractor.loadFromWeightMap(a),jA(r)}extractParams(n){let r=n.slice(0,n.length-1539),s=n.slice(n.length-1539);return this.faceFeatureExtractor.extractWeights(r),this.extractClassifierParams(s)}};var mp=class extends dp{postProcess(t,n,a){let r=a.map(({width:i,height:o})=>{let l=n/Math.max(o,i);return{width:i*l,height:o*l}}),s=r.length;return P(()=>{let i=(d,c)=>Ft([gn([68],d,"float32"),gn([68],c,"float32")],1).as2D(1,136).as1D(),o=(d,c)=>{let{width:h,height:m}=r[d];return c(h,m)?Math.abs(h-m)/2:0},l=d=>o(d,(c,h)=>co(d,(c,h)=>hi(l(c),u(c))))).div(Ft(Array.from(Array(s),(d,c)=>i(r[c].width,r[c].height))))})}forwardInput(t){return P(()=>{let n=this.runNet(t);return this.postProcess(n,t.inputSize,t.inputDimensions.map(([a,r])=>({height:a,width:r})))})}async forward(t){return this.forwardInput(await yt(t))}async detectLandmarks(t){let n=await yt(t),a=P(()=>ct(this.forwardInput(n))),r=await Promise.all(a.map(async(s,i)=>{let o=Array.from(s.dataSync()),l=o.filter((p,d)=>Jf(d)),u=o.filter((p,d)=>!Jf(d));return new _o(Array(68).fill(0).map((p,d)=>new Fe(l[d],u[d])),{height:n.getInputHeight(i),width:n.getInputWidth(i)})}));return a.forEach(s=>s.dispose()),n.isBatchInput?r:r[0]}getClassifierChannelsOut(){return 136}};var Mo=class extends mp{constructor(t=new cp){super("FaceLandmark68Net",t)}getDefaultModelName(){return"face_landmark_68_model"}getClassifierChannelsIn(){return 256}};function qA(e){let t=[],{extractDenseBlock3Params:n}=lg(e,t),a={dense0:n("dense0",!0),dense1:n("dense1"),dense2:n("dense2")};return _n(e,t),{params:a,paramMappings:t}}function KA(e){let t=[],{extractWeights:n,getRemainingWeights:a}=En(e),{extractDenseBlock3Params:r}=ig(n,t),s=r(3,32,"dense0",!0),i=r(32,64,"dense1"),o=r(64,128,"dense2");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:t,params:{dense0:s,dense1:i,dense2:o}}}var fg=class extends rn{constructor(){super("TinyFaceFeatureExtractor")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("TinyFaceFeatureExtractor - load model before inference");return P(()=>{let a=oe(t.toBatchTensor(112,!0),"float32"),s=Xa(a,[122.782,117.001,104.298]).div(255),i=rg(s,n.dense0,!0);return i=rg(i,n.dense1),i=rg(i,n.dense2),i=ga(i,[14,14],[2,2],"valid"),i})}async forward(t){return this.forwardInput(await yt(t))}getDefaultModelName(){return"face_feature_extractor_tiny_model"}extractParamsFromWeightMap(t){return qA(t)}extractParams(t){return KA(t)}};var wd=class extends mp{constructor(t=new fg){super("FaceLandmark68TinyNet",t)}getDefaultModelName(){return"face_landmark_68_tiny_model"}getClassifierChannelsIn(){return 128}};var D1=class extends Mo{};function XA(e,t){return Y(z(e,t.weights),t.biases)}function R1(e,t,n,a,r="same"){let{filters:s,bias:i}=t.conv,o=$t(e,s,n,r);return o=Y(o,i),o=XA(o,t.scale),a?Xe(o):o}function YA(e,t){return R1(e,t,[1,1],!0)}function M1(e,t){return R1(e,t,[1,1],!1)}function gg(e,t){return R1(e,t,[2,2],!0,"valid")}function Bpe(e,t){function n(o,l,u){let p=e(o),d=p.length/(l*u*u);if(l1(d))throw new Error(`depth has to be an integer: ${d}, weights.length: ${p.length}, numFilters: ${l}, filterSize: ${u}`);return P(()=>Ce(Fa(p,[l,d,u,u]),[2,3,1,0]))}function a(o,l,u,p){let d=n(o,l,u),c=Ke(e(l));return t.push({paramPath:`${p}/filters`},{paramPath:`${p}/bias`}),{filters:d,bias:c}}function r(o,l){let u=Ke(e(o)),p=Ke(e(o));return t.push({paramPath:`${l}/weights`},{paramPath:`${l}/biases`}),{weights:u,biases:p}}function s(o,l,u,p){let d=a(o,l,u,`${p}/conv`),c=r(l,`${p}/scale`);return{conv:d,scale:c}}function i(o,l,u,p,d=!1){let c=s((d?.5:1)*o,l,u,`${p}/conv1`),h=s(o,l,u,`${p}/conv2`);return{conv1:c,conv2:h}}return{extractConvLayerParams:s,extractResidualLayerParams:i}}function ZA(e){let{extractWeights:t,getRemainingWeights:n}=En(e),a=[],{extractConvLayerParams:r,extractResidualLayerParams:s}=Bpe(t,a),i=r(4704,32,7,"conv32_down"),o=s(9216,32,3,"conv32_1"),l=s(9216,32,3,"conv32_2"),u=s(9216,32,3,"conv32_3"),p=s(36864,64,3,"conv64_down",!0),d=s(36864,64,3,"conv64_1"),c=s(36864,64,3,"conv64_2"),h=s(36864,64,3,"conv64_3"),m=s(147456,128,3,"conv128_down",!0),f=s(147456,128,3,"conv128_1"),g=s(147456,128,3,"conv128_2"),b=s(589824,256,3,"conv256_down",!0),y=s(589824,256,3,"conv256_1"),x=s(589824,256,3,"conv256_2"),w=s(589824,256,3,"conv256_down_out"),I=P(()=>Ce(Ea(t(256*128),[128,256]),[1,0]));if(a.push({paramPath:"fc"}),n().length!==0)throw new Error(`weights remaing after extract: ${n().length}`);return{params:{conv32_down:i,conv32_1:o,conv32_2:l,conv32_3:u,conv64_down:p,conv64_1:d,conv64_2:c,conv64_3:h,conv128_down:m,conv128_1:f,conv128_2:g,conv256_down:b,conv256_1:y,conv256_2:x,conv256_down_out:w,fc:I},paramMappings:a}}function Wpe(e,t){let n=ra(e,t);function a(i){let o=n(`${i}/scale/weights`,1),l=n(`${i}/scale/biases`,1);return{weights:o,biases:l}}function r(i){let o=n(`${i}/conv/filters`,4),l=n(`${i}/conv/bias`,1),u=a(i);return{conv:{filters:o,bias:l},scale:u}}function s(i){return{conv1:r(`${i}/conv1`),conv2:r(`${i}/conv2`)}}return{extractConvLayerParams:r,extractResidualLayerParams:s}}function JA(e){let t=[],{extractConvLayerParams:n,extractResidualLayerParams:a}=Wpe(e,t),r=n("conv32_down"),s=a("conv32_1"),i=a("conv32_2"),o=a("conv32_3"),l=a("conv64_down"),u=a("conv64_1"),p=a("conv64_2"),d=a("conv64_3"),c=a("conv128_down"),h=a("conv128_1"),m=a("conv128_2"),f=a("conv256_down"),g=a("conv256_1"),b=a("conv256_2"),y=a("conv256_down_out"),{fc:x}=e;if(t.push({originalPath:"fc",paramPath:"fc"}),!o1(x))throw new Error(`expected weightMap[fc] to be a Tensor2D, instead have ${x}`);let w={conv32_down:r,conv32_1:s,conv32_2:i,conv32_3:o,conv64_down:l,conv64_1:u,conv64_2:p,conv64_3:d,conv128_down:c,conv128_1:h,conv128_2:m,conv256_down:f,conv256_1:g,conv256_2:b,conv256_down_out:y,fc:x};return _n(e,t),{params:w,paramMappings:t}}function Ya(e,t){let n=YA(e,t.conv1);return n=M1(n,t.conv2),n=Y(n,e),n=Xe(n),n}function kd(e,t){let n=gg(e,t.conv1);n=M1(n,t.conv2);let a=ga(e,2,2,"valid"),r=It(a.shape),s=a.shape[3]!==n.shape[3];if(a.shape[1]!==n.shape[1]||a.shape[2]!==n.shape[2]){let o=[...n.shape];o[1]=1;let l=It(o);n=Ze([n,l],1);let u=[...n.shape];u[2]=1;let p=It(u);n=Ze([n,p],2)}return a=s?Ze([a,r],3):a,n=Y(a,n),n=Xe(n),n}var Po=class extends rn{constructor(){super("FaceRecognitionNet")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("FaceRecognitionNet - load model before inference");return P(()=>{let a=oe(t.toBatchTensor(150,!0),"float32"),s=Xa(a,[122.782,117.001,104.298]).div(255),i=gg(s,n.conv32_down);i=Dt(i,3,2,"valid"),i=Ya(i,n.conv32_1),i=Ya(i,n.conv32_2),i=Ya(i,n.conv32_3),i=kd(i,n.conv64_down),i=Ya(i,n.conv64_1),i=Ya(i,n.conv64_2),i=Ya(i,n.conv64_3),i=kd(i,n.conv128_down),i=Ya(i,n.conv128_1),i=Ya(i,n.conv128_2),i=kd(i,n.conv256_down),i=Ya(i,n.conv256_1),i=Ya(i,n.conv256_2),i=kd(i,n.conv256_down_out);let o=i.mean([1,2]);return Ae(o,n.fc)})}async forward(t){return this.forwardInput(await yt(t))}async computeFaceDescriptor(t){var s;if((s=t==null?void 0:t.shape)!=null&&s.some(i=>i<=0))return new Float32Array(128);let n=await yt(t),a=P(()=>ct(this.forwardInput(n))),r=await Promise.all(a.map(i=>i.data()));return a.forEach(i=>i.dispose()),n.isBatchInput?r:r[0]}getDefaultModelName(){return"face_recognition_model"}extractParamsFromWeightMap(t){return JA(t)}extractParams(t){return ZA(t)}};function Vpe(e){let t=new Po;return t.extractWeights(e),t}function bg(e,t){return{...e,...{descriptor:t}}}function Upe(e){return typeof e.age=="number"}function yg(e,t){return{...e,...{age:t}}}function Gpe(e){return(e.gender==="male"||e.gender==="female")&&np(e.genderProbability)}function xg(e,t,n){return{...e,...{gender:t,genderProbability:n}}}function Hpe(e,t){function n(l,u){let p=Fa(e(9*l),[3,3,l,1]),d=Ke(e(l)),c=Ke(e(l)),h=Ke(e(l)),m=Ke(e(l));return t.push({paramPath:`${u}/filters`},{paramPath:`${u}/batch_norm_scale`},{paramPath:`${u}/batch_norm_offset`},{paramPath:`${u}/batch_norm_mean`},{paramPath:`${u}/batch_norm_variance`}),{filters:p,batch_norm_scale:d,batch_norm_offset:c,batch_norm_mean:h,batch_norm_variance:m}}function a(l,u,p,d,c){let h=Fa(e(l*u*p*p),[p,p,l,u]),m=Ke(e(u));return t.push({paramPath:`${d}/filters`},{paramPath:`${d}/${c?"batch_norm_offset":"bias"}`}),{filters:h,bias:m}}function r(l,u,p,d){let{filters:c,bias:h}=a(l,u,p,d,!0);return{filters:c,batch_norm_offset:h}}function s(l,u,p){let d=n(l,`${p}/depthwise_conv`),c=r(l,u,1,`${p}/pointwise_conv`);return{depthwise_conv:d,pointwise_conv:c}}function i(){let l=r(3,32,3,"mobilenetv1/conv_0"),u=s(32,64,"mobilenetv1/conv_1"),p=s(64,128,"mobilenetv1/conv_2"),d=s(128,128,"mobilenetv1/conv_3"),c=s(128,256,"mobilenetv1/conv_4"),h=s(256,256,"mobilenetv1/conv_5"),m=s(256,512,"mobilenetv1/conv_6"),f=s(512,512,"mobilenetv1/conv_7"),g=s(512,512,"mobilenetv1/conv_8"),b=s(512,512,"mobilenetv1/conv_9"),y=s(512,512,"mobilenetv1/conv_10"),x=s(512,512,"mobilenetv1/conv_11"),w=s(512,1024,"mobilenetv1/conv_12"),I=s(1024,1024,"mobilenetv1/conv_13");return{conv_0:l,conv_1:u,conv_2:p,conv_3:d,conv_4:c,conv_5:h,conv_6:m,conv_7:f,conv_8:g,conv_9:b,conv_10:y,conv_11:x,conv_12:w,conv_13:I}}function o(){let l=r(1024,256,1,"prediction_layer/conv_0"),u=r(256,512,3,"prediction_layer/conv_1"),p=r(512,128,1,"prediction_layer/conv_2"),d=r(128,256,3,"prediction_layer/conv_3"),c=r(256,128,1,"prediction_layer/conv_4"),h=r(128,256,3,"prediction_layer/conv_5"),m=r(256,64,1,"prediction_layer/conv_6"),f=r(64,128,3,"prediction_layer/conv_7"),g=a(512,12,1,"prediction_layer/box_predictor_0/box_encoding_predictor"),b=a(512,9,1,"prediction_layer/box_predictor_0/class_predictor"),y=a(1024,24,1,"prediction_layer/box_predictor_1/box_encoding_predictor"),x=a(1024,18,1,"prediction_layer/box_predictor_1/class_predictor"),w=a(512,24,1,"prediction_layer/box_predictor_2/box_encoding_predictor"),I=a(512,18,1,"prediction_layer/box_predictor_2/class_predictor"),T=a(256,24,1,"prediction_layer/box_predictor_3/box_encoding_predictor"),C=a(256,18,1,"prediction_layer/box_predictor_3/class_predictor"),E=a(256,24,1,"prediction_layer/box_predictor_4/box_encoding_predictor"),A=a(256,18,1,"prediction_layer/box_predictor_4/class_predictor"),R=a(128,24,1,"prediction_layer/box_predictor_5/box_encoding_predictor"),F=a(128,18,1,"prediction_layer/box_predictor_5/class_predictor");return{conv_0:l,conv_1:u,conv_2:p,conv_3:d,conv_4:c,conv_5:h,conv_6:m,conv_7:f,box_predictor_0:{box_encoding_predictor:g,class_predictor:b},box_predictor_1:{box_encoding_predictor:y,class_predictor:x},box_predictor_2:{box_encoding_predictor:w,class_predictor:I},box_predictor_3:{box_encoding_predictor:T,class_predictor:C},box_predictor_4:{box_encoding_predictor:E,class_predictor:A},box_predictor_5:{box_encoding_predictor:R,class_predictor:F}}}return{extractMobilenetV1Params:i,extractPredictionLayerParams:o}}function QA(e){let t=[],{extractWeights:n,getRemainingWeights:a}=En(e),{extractMobilenetV1Params:r,extractPredictionLayerParams:s}=Hpe(n,t),i=r(),o=s(),u={extra_dim:Fc(n(5118*4),[1,5118,4])};if(t.push({paramPath:"output_layer/extra_dim"}),a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{params:{mobilenetv1:i,prediction_layer:o,output_layer:u},paramMappings:t}}function jpe(e,t){let n=ra(e,t);function a(u,p,d){let c=n(`${u}/Conv2d_${p}_pointwise/weights`,4,`${d}/filters`),h=n(`${u}/Conv2d_${p}_pointwise/convolution_bn_offset`,1,`${d}/batch_norm_offset`);return{filters:c,batch_norm_offset:h}}function r(u){let p=`mobilenetv1/conv_${u}`,d=`MobilenetV1/Conv2d_${u}_depthwise`,c=`${p}/depthwise_conv`,h=`${p}/pointwise_conv`,m=n(`${d}/depthwise_weights`,4,`${c}/filters`),f=n(`${d}/BatchNorm/gamma`,1,`${c}/batch_norm_scale`),g=n(`${d}/BatchNorm/beta`,1,`${c}/batch_norm_offset`),b=n(`${d}/BatchNorm/moving_mean`,1,`${c}/batch_norm_mean`),y=n(`${d}/BatchNorm/moving_variance`,1,`${c}/batch_norm_variance`);return{depthwise_conv:{filters:m,batch_norm_scale:f,batch_norm_offset:g,batch_norm_mean:b,batch_norm_variance:y},pointwise_conv:a("MobilenetV1",u,h)}}function s(){return{conv_0:a("MobilenetV1",0,"mobilenetv1/conv_0"),conv_1:r(1),conv_2:r(2),conv_3:r(3),conv_4:r(4),conv_5:r(5),conv_6:r(6),conv_7:r(7),conv_8:r(8),conv_9:r(9),conv_10:r(10),conv_11:r(11),conv_12:r(12),conv_13:r(13)}}function i(u,p){let d=n(`${u}/weights`,4,`${p}/filters`),c=n(`${u}/biases`,1,`${p}/bias`);return{filters:d,bias:c}}function o(u){let p=i(`Prediction/BoxPredictor_${u}/BoxEncodingPredictor`,`prediction_layer/box_predictor_${u}/box_encoding_predictor`),d=i(`Prediction/BoxPredictor_${u}/ClassPredictor`,`prediction_layer/box_predictor_${u}/class_predictor`);return{box_encoding_predictor:p,class_predictor:d}}function l(){return{conv_0:a("Prediction",0,"prediction_layer/conv_0"),conv_1:a("Prediction",1,"prediction_layer/conv_1"),conv_2:a("Prediction",2,"prediction_layer/conv_2"),conv_3:a("Prediction",3,"prediction_layer/conv_3"),conv_4:a("Prediction",4,"prediction_layer/conv_4"),conv_5:a("Prediction",5,"prediction_layer/conv_5"),conv_6:a("Prediction",6,"prediction_layer/conv_6"),conv_7:a("Prediction",7,"prediction_layer/conv_7"),box_predictor_0:o(0),box_predictor_1:o(1),box_predictor_2:o(2),box_predictor_3:o(3),box_predictor_4:o(4),box_predictor_5:o(5)}}return{extractMobilenetV1Params:s,extractPredictionLayerParams:l}}function e$(e){let t=[],{extractMobilenetV1Params:n,extractPredictionLayerParams:a}=jpe(e,t),r=e["Output/extra_dim"];if(t.push({originalPath:"Output/extra_dim",paramPath:"output_layer/extra_dim"}),!Pr(r))throw new Error(`expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have ${r}`);let s={mobilenetv1:n(),prediction_layer:a(),output_layer:{extra_dim:r}};return _n(e,t),{params:s,paramMappings:t}}function Ma(e,t,n){return P(()=>{let a=$t(e,t.filters,n,"same");return a=Y(a,t.batch_norm_offset),Qt(a,0,6)})}var qpe=.0010000000474974513;function Kpe(e,t,n){return P(()=>{let a=ks(e,t.filters,n,"same");return a=ws(a,t.batch_norm_mean,t.batch_norm_variance,t.batch_norm_offset,t.batch_norm_scale,qpe),Qt(a,0,6)})}function Xpe(e){return[2,4,6,12].some(t=>t===e)?[2,2]:[1,1]}function t$(e,t){return P(()=>{let n,a=Ma(e,t.conv_0,[2,2]);if([t.conv_1,t.conv_2,t.conv_3,t.conv_4,t.conv_5,t.conv_6,t.conv_7,t.conv_8,t.conv_9,t.conv_10,t.conv_11,t.conv_12,t.conv_13].forEach((s,i)=>{let o=i+1,l=Xpe(o);a=Kpe(a,s.depthwise_conv,l),a=Ma(a,s.pointwise_conv,[1,1]),o===11&&(n=a)}),n===null)throw new Error("mobileNetV1 - output of conv layer 11 is null");return{out:a,conv11:n}})}function Ype(e,t,n){let a=e.arraySync(),r=Math.min(a[t][0],a[t][2]),s=Math.min(a[t][1],a[t][3]),i=Math.max(a[t][0],a[t][2]),o=Math.max(a[t][1],a[t][3]),l=Math.min(a[n][0],a[n][2]),u=Math.min(a[n][1],a[n][3]),p=Math.max(a[n][0],a[n][2]),d=Math.max(a[n][1],a[n][3]),c=(i-r)*(o-s),h=(p-l)*(d-u);if(c<=0||h<=0)return 0;let m=Math.max(r,l),f=Math.max(s,u),g=Math.min(i,p),b=Math.min(o,d),y=Math.max(g-m,0)*Math.max(b-f,0);return y/(c+h-y)}function n$(e,t,n,a,r){let s=e.shape[0],i=Math.min(n,s),o=t.map((p,d)=>({score:p,boxIndex:d})).filter(p=>p.score>r).sort((p,d)=>d.score-p.score),l=p=>p<=a?1:0,u=[];return o.forEach(p=>{if(u.length>=i)return;let d=p.score;for(let c=u.length-1;c>=0;--c){let h=Ype(e,p.boxIndex,u[c]);if(h!==0&&(p.score*=l(h),p.score<=r))break}d===p.score&&u.push(p.boxIndex)}),u}function Zpe(e){let t=ct(Ce(e,[1,0])),n=[pe(t[2],t[0]),pe(t[3],t[1])],a=[Y(t[0],he(n[0],2)),Y(t[1],he(n[1],2))];return{sizes:n,centers:a}}function Jpe(e,t){let{sizes:n,centers:a}=Zpe(e),r=ct(Ce(t,[1,0])),s=he(z(fn(he(r[2],5)),n[0]),2),i=Y(z(he(r[0],10),n[0]),a[0]),o=he(z(fn(he(r[3],5)),n[1]),2),l=Y(z(he(r[1],10),n[1]),a[1]);return Ce(Ft([pe(i,s),pe(l,o),Y(i,s),Y(l,o)]),[1,0])}function a$(e,t,n){return P(()=>{let a=e.shape[0],r=Jpe(B(Pn(n.extra_dim,[a,1,1]),[-1,4]),B(e,[-1,4]));r=B(r,[a,r.shape[0]/a,4]);let s=ha(We(t,[0,0,1],[-1,-1,-1])),i=We(s,[0,0,0],[-1,-1,1]);i=B(i,[a,i.shape[1]]);let o=ct(r),l=ct(i);return{boxes:o,scores:l}})}function Oo(e,t){return P(()=>{let n=e.shape[0],a=B(Do(e,t.box_encoding_predictor),[n,-1,1,4]),r=B(Do(e,t.class_predictor),[n,-1,3]);return{boxPredictionEncoding:a,classPrediction:r}})}function r$(e,t,n){return P(()=>{let a=Ma(e,n.conv_0,[1,1]),r=Ma(a,n.conv_1,[2,2]),s=Ma(r,n.conv_2,[1,1]),i=Ma(s,n.conv_3,[2,2]),o=Ma(i,n.conv_4,[1,1]),l=Ma(o,n.conv_5,[2,2]),u=Ma(l,n.conv_6,[1,1]),p=Ma(u,n.conv_7,[2,2]),d=Oo(t,n.box_predictor_0),c=Oo(e,n.box_predictor_1),h=Oo(r,n.box_predictor_2),m=Oo(i,n.box_predictor_3),f=Oo(l,n.box_predictor_4),g=Oo(p,n.box_predictor_5),b=Ze([d.boxPredictionEncoding,c.boxPredictionEncoding,h.boxPredictionEncoding,m.boxPredictionEncoding,f.boxPredictionEncoding,g.boxPredictionEncoding],1),y=Ze([d.classPrediction,c.classPrediction,h.classPrediction,m.classPrediction,f.classPrediction,g.classPrediction],1);return{boxPredictions:b,classPredictions:y}})}var va=class{constructor({minConfidence:t,maxResults:n}={}){this._name="SsdMobilenetv1Options";if(this._minConfidence=t||.5,this._maxResults=n||100,typeof this._minConfidence!="number"||this._minConfidence<=0||this._minConfidence>=1)throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);if(typeof this._maxResults!="number")throw new Error(`${this._name} - expected maxResults to be a number`)}get minConfidence(){return this._minConfidence}get maxResults(){return this._maxResults}};var As=class extends rn{constructor(){super("SsdMobilenetv1")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("SsdMobilenetv1 - load model before inference");return P(()=>{let a=oe(t.toBatchTensor(512,!1),"float32"),r=pe(he(a,127.5),1),s=t$(r,n.mobilenetv1),{boxPredictions:i,classPredictions:o}=r$(s.out,s.conv11,n.prediction_layer);return a$(i,o,n.output_layer)})}async forward(t){return this.forwardInput(await yt(t))}async locateFaces(t,n={}){let{maxResults:a,minConfidence:r}=new va(n),s=await yt(t),{boxes:i,scores:o}=this.forwardInput(s),l=i[0],u=o[0];for(let x=1;x{let[w,I]=[Math.max(0,b[x][0]),Math.min(1,b[x][2])].map(E=>E*g),[T,C]=[Math.max(0,b[x][1]),Math.min(1,b[x][3])].map(E=>E*f);return new bt(p[x],new Co(T,w,C-T,I-w),{height:s.getInputHeight(0),width:s.getInputWidth(0)})});return l.dispose(),u.dispose(),y}getDefaultModelName(){return"ssd_mobilenetv1_model"}extractParamsFromWeightMap(t){return e$(t)}extractParams(t){return QA(t)}};function s$(e){let t=new As;return t.extractWeights(e),t}function Qpe(e){return s$(e)}var P1=class extends As{};var i$=.4,o$=[new Fe(.738768,.874946),new Fe(2.42204,2.65704),new Fe(4.30971,7.04493),new Fe(10.246,4.59428),new Fe(12.6868,11.8741)],l$=[new Fe(1.603231,2.094468),new Fe(6.041143,7.080126),new Fe(2.882459,3.518061),new Fe(4.266906,5.178857),new Fe(9.041765,10.66308)],u$=[117.001,114.697,97.404],p$="tiny_yolov2_model",c$="tiny_yolov2_separable_conv_model";var vg=e=>typeof e=="number";function O1(e){if(!e)throw new Error(`invalid config: ${e}`);if(typeof e.withSeparableConvs!="boolean")throw new Error(`config.withSeparableConvs has to be a boolean, have: ${e.withSeparableConvs}`);if(!vg(e.iouThreshold)||e.iouThreshold<0||e.iouThreshold>1)throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${e.iouThreshold}`);if(!Array.isArray(e.classes)||!e.classes.length||!e.classes.every(t=>typeof t=="string"))throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(e.classes)}`);if(!Array.isArray(e.anchors)||!e.anchors.length||!e.anchors.map(t=>t||{}).every(t=>vg(t.x)&&vg(t.y)))throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(e.anchors)}`);if(e.meanRgb&&(!Array.isArray(e.meanRgb)||e.meanRgb.length!==3||!e.meanRgb.every(vg)))throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(e.meanRgb)}`)}function fp(e){return P(()=>{let t=z(e,ye(.10000000149011612));return Y(Xe(pe(e,t)),t)})}function Wr(e,t){return P(()=>{let n=ba(e,[[0,0],[1,1],[1,1],[0,0]]);return n=$t(n,t.conv.filters,[1,1],"valid"),n=pe(n,t.bn.sub),n=z(n,t.bn.truediv),n=Y(n,t.conv.bias),fp(n)})}function Vr(e,t){return P(()=>{let n=ba(e,[[0,0],[1,1],[1,1],[0,0]]);return n=Ts(n,t.depthwise_filter,t.pointwise_filter,[1,1],"valid"),n=Y(n,t.bias),fp(n)})}function ece(e,t){let n=lp(e,t);function a(i,o){let l=Ke(e(i)),u=Ke(e(i));return t.push({paramPath:`${o}/sub`},{paramPath:`${o}/truediv`}),{sub:l,truediv:u}}function r(i,o,l){let u=n(i,o,3,`${l}/conv`),p=a(o,`${l}/bn`);return{conv:u,bn:p}}let s=up(e,t);return{extractConvParams:n,extractConvWithBatchNormParams:r,extractSeparableConvParams:s}}function d$(e,t,n,a){let{extractWeights:r,getRemainingWeights:s}=En(e),i=[],{extractConvParams:o,extractConvWithBatchNormParams:l,extractSeparableConvParams:u}=ece(r,i),p;if(t.withSeparableConvs){let[d,c,h,m,f,g,b,y,x]=a,w=t.isFirstLayerConv2d?o(d,c,3,"conv0"):u(d,c,"conv0"),I=u(c,h,"conv1"),T=u(h,m,"conv2"),C=u(m,f,"conv3"),E=u(f,g,"conv4"),A=u(g,b,"conv5"),R=y?u(b,y,"conv6"):void 0,F=x?u(y,x,"conv7"):void 0,S=o(x||y||b,5*n,1,"conv8");p={conv0:w,conv1:I,conv2:T,conv3:C,conv4:E,conv5:A,conv6:R,conv7:F,conv8:S}}else{let[d,c,h,m,f,g,b,y,x]=a,w=l(d,c,"conv0"),I=l(c,h,"conv1"),T=l(h,m,"conv2"),C=l(m,f,"conv3"),E=l(f,g,"conv4"),A=l(g,b,"conv5"),R=l(b,y,"conv6"),F=l(y,x,"conv7"),S=o(x,5*n,1,"conv8");p={conv0:w,conv1:I,conv2:T,conv3:C,conv4:E,conv5:A,conv6:R,conv7:F,conv8:S}}if(s().length!==0)throw new Error(`weights remaing after extract: ${s().length}`);return{params:p,paramMappings:i}}function tce(e,t){let n=ra(e,t);function a(o){let l=n(`${o}/sub`,1),u=n(`${o}/truediv`,1);return{sub:l,truediv:u}}function r(o){let l=n(`${o}/filters`,4),u=n(`${o}/bias`,1);return{filters:l,bias:u}}function s(o){let l=r(`${o}/conv`),u=a(`${o}/bn`);return{conv:l,bn:u}}let i=pp(n);return{extractConvParams:r,extractConvWithBatchNormParams:s,extractSeparableConvParams:i}}function h$(e,t){let n=[],{extractConvParams:a,extractConvWithBatchNormParams:r,extractSeparableConvParams:s}=tce(e,n),i;if(t.withSeparableConvs){let o=t.filterSizes&&t.filterSizes.length||9;i={conv0:t.isFirstLayerConv2d?a("conv0"):s("conv0"),conv1:s("conv1"),conv2:s("conv2"),conv3:s("conv3"),conv4:s("conv4"),conv5:s("conv5"),conv6:o>7?s("conv6"):void 0,conv7:o>8?s("conv7"):void 0,conv8:a("conv8")}}else i={conv0:r("conv0"),conv1:r("conv1"),conv2:r("conv2"),conv3:r("conv3"),conv4:r("conv4"),conv5:r("conv5"),conv6:r("conv6"),conv7:r("conv7"),conv8:a("conv8")};return _n(e,n),{params:i,paramMappings:n}}var Za=class{constructor({inputSize:t,scoreThreshold:n}={}){this._name="TinyYolov2Options";if(this._inputSize=t||416,this._scoreThreshold=n||.5,typeof this._inputSize!="number"||this._inputSize%32!==0)throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);if(typeof this._scoreThreshold!="number"||this._scoreThreshold<=0||this._scoreThreshold>=1)throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`)}get inputSize(){return this._inputSize}get scoreThreshold(){return this._scoreThreshold}};var L1=class extends rn{constructor(n){super("TinyYolov2");O1(n),this._config=n}get config(){return this._config}get withClassScores(){return this.config.withClassScores||this.config.classes.length>1}get boxEncodingSize(){return 5+(this.withClassScores?this.config.classes.length:0)}runTinyYolov2(n,a){let r=Wr(n,a.conv0);return r=Dt(r,[2,2],[2,2],"same"),r=Wr(r,a.conv1),r=Dt(r,[2,2],[2,2],"same"),r=Wr(r,a.conv2),r=Dt(r,[2,2],[2,2],"same"),r=Wr(r,a.conv3),r=Dt(r,[2,2],[2,2],"same"),r=Wr(r,a.conv4),r=Dt(r,[2,2],[2,2],"same"),r=Wr(r,a.conv5),r=Dt(r,[2,2],[1,1],"same"),r=Wr(r,a.conv6),r=Wr(r,a.conv7),Do(r,a.conv8,"valid",!1)}runMobilenet(n,a){let r=this.config.isFirstLayerConv2d?fp(Do(n,a.conv0,"valid",!1)):Vr(n,a.conv0);return r=Dt(r,[2,2],[2,2],"same"),r=Vr(r,a.conv1),r=Dt(r,[2,2],[2,2],"same"),r=Vr(r,a.conv2),r=Dt(r,[2,2],[2,2],"same"),r=Vr(r,a.conv3),r=Dt(r,[2,2],[2,2],"same"),r=Vr(r,a.conv4),r=Dt(r,[2,2],[2,2],"same"),r=Vr(r,a.conv5),r=Dt(r,[2,2],[1,1],"same"),r=a.conv6?Vr(r,a.conv6):r,r=a.conv7?Vr(r,a.conv7):r,Do(r,a.conv8,"valid",!1)}forwardInput(n,a){let{params:r}=this;if(!r)throw new Error("TinyYolov2 - load model before inference");return P(()=>{let s=oe(n.toBatchTensor(a,!1),"float32");return s=this.config.meanRgb?Xa(s,this.config.meanRgb):s,s=s.div(255),this.config.withSeparableConvs?this.runMobilenet(s,r):this.runTinyYolov2(s,r)})}async forward(n,a){return this.forwardInput(await yt(n),a)}async detect(n,a={}){let{inputSize:r,scoreThreshold:s}=new Za(a),i=await yt(n),o=await this.forwardInput(i,r),l=P(()=>ct(o)[0].expandDims()),u={width:i.getInputWidth(0),height:i.getInputHeight(0)},p=await this.extractBoxes(l,i.getReshapedInputDimensions(0),s);o.dispose(),l.dispose();let d=p.map(b=>b.box),c=p.map(b=>b.score),h=p.map(b=>b.classScore),m=p.map(b=>this.config.classes[b.label]);return h1(d.map(b=>b.rescale(r)),c,this.config.iouThreshold,!0).map(b=>new Or(c[b],h[b],m[b],d[b],u))}getDefaultModelName(){return""}extractParamsFromWeightMap(n){return h$(n,this.config)}extractParams(n){let a=this.config.filterSizes||L1.DEFAULT_FILTER_SIZES,r=a?a.length:void 0;if(r!==7&&r!==8&&r!==9)throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${r} filterSizes in config`);return d$(n,this.config,this.boxEncodingSize,a)}async extractBoxes(n,a,r){let{width:s,height:i}=a,o=Math.max(s,i),l=o/s,u=o/i,p=n.shape[1],d=this.config.anchors.length,[c,h,m]=P(()=>{let y=n.reshape([p,p,d,this.boxEncodingSize]),x=y.slice([0,0,0,0],[p,p,d,4]),w=y.slice([0,0,0,4],[p,p,d,1]),I=this.withClassScores?ja(y.slice([0,0,0,5],[p,p,d,this.config.classes.length]),3):ye(0);return[x,w,I]}),f=[],g=await h.array(),b=await c.array();for(let y=0;yr){let T=(x+cd(b[y][x][w][0]))/p*l,C=(y+cd(b[y][x][w][1]))/p*u,E=Math.exp(b[y][x][w][2])*this.config.anchors[w].x/p*l,A=Math.exp(b[y][x][w][3])*this.config.anchors[w].y/p*u,R=T-E/2,F=C-A/2,S={row:y,col:x,anchor:w},{classScore:M,label:W}=this.withClassScores?await this.extractPredictedClass(m,S):{classScore:1,label:0};f.push({box:new No(R,F,R+E,F+A),score:I,classScore:I*M,label:W,...S})}}return c.dispose(),h.dispose(),m.dispose(),f}async extractPredictedClass(n,a){let{row:r,col:s,anchor:i}=a,o=await n.array();return Array(this.config.classes.length).fill(0).map((l,u)=>o[r][s][i][u]).map((l,u)=>({classScore:l,label:u})).reduce((l,u)=>l.classScore>u.classScore?l:u)}},Lo=L1;Lo.DEFAULT_FILTER_SIZES=[3,16,32,64,128,256,512,1024,1024];var zo=class extends Lo{constructor(t=!0){let n={withSeparableConvs:t,iouThreshold:i$,classes:["face"],...t?{anchors:l$,meanRgb:u$}:{anchors:o$,withClassScores:!0}};super(n)}get withSeparableConvs(){return this.config.withSeparableConvs}get anchors(){return this.config.anchors}async locateFaces(t,n){return(await this.detect(t,n)).map(r=>new bt(r.score,r.relativeBox,{width:r.imageWidth,height:r.imageHeight}))}getDefaultModelName(){return this.withSeparableConvs?c$:p$}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};function nce(e,t=!0){let n=new zo(t);return n.extractWeights(e),n}var Id=class extends Za{constructor(){super(...arguments);this._name="TinyFaceDetectorOptions"}};var wa=class{async then(t){return t(await this.run())}async run(){throw new Error("ComposableTask - run is not implemented")}};async function Bo(e,t,n,a,r=({alignedRect:s})=>s){let s=e.map(l=>Ro(l)?r(l):l.detection),i=a||(t instanceof Te?await op(t,s):await ip(t,s)),o=await n(i);return i.forEach(l=>l instanceof Te&&l.dispose()),o}async function gp(e,t,n,a,r){return Bo([e],t,async s=>n(s[0]),a,r)}var m$=.4,f$=[new Fe(1.603231,2.094468),new Fe(6.041143,7.080126),new Fe(2.882459,3.518061),new Fe(4.266906,5.178857),new Fe(9.041765,10.66308)],g$=[117.001,114.697,97.404];var Wo=class extends Lo{constructor(){let t={withSeparableConvs:!0,iouThreshold:m$,classes:["face"],anchors:f$,meanRgb:g$,isFirstLayerConv2d:!0,filterSizes:[3,16,32,64,128,256,512]};super(t)}get anchors(){return this.config.anchors}async locateFaces(t,n){return(await this.detect(t,n)).map(r=>new bt(r.score,r.relativeBox,{width:r.imageWidth,height:r.imageHeight}))}getDefaultModelName(){return"tiny_face_detector_model"}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};var Qe={ssdMobilenetv1:new As,tinyFaceDetector:new Wo,tinyYolov2:new zo,faceLandmark68Net:new Mo,faceLandmark68TinyNet:new wd,faceRecognitionNet:new Po,faceExpressionNet:new xd,ageGenderNet:new vd},b$=(e,t)=>Qe.ssdMobilenetv1.locateFaces(e,t),ace=(e,t)=>Qe.tinyFaceDetector.locateFaces(e,t),rce=(e,t)=>Qe.tinyYolov2.locateFaces(e,t),y$=e=>Qe.faceLandmark68Net.detectLandmarks(e),sce=e=>Qe.faceLandmark68TinyNet.detectLandmarks(e),ice=e=>Qe.faceRecognitionNet.computeFaceDescriptor(e),oce=e=>Qe.faceExpressionNet.predictExpressions(e),lce=e=>Qe.ageGenderNet.predictAgeAndGender(e),x$=e=>Qe.ssdMobilenetv1.load(e),uce=e=>Qe.tinyFaceDetector.load(e),pce=e=>Qe.tinyYolov2.load(e),cce=e=>Qe.faceLandmark68Net.load(e),dce=e=>Qe.faceLandmark68TinyNet.load(e),hce=e=>Qe.faceRecognitionNet.load(e),mce=e=>Qe.faceExpressionNet.load(e),fce=e=>Qe.ageGenderNet.load(e),gce=x$,bce=b$,yce=y$;var wg=class extends wa{constructor(n,a,r){super();this.parentTask=n;this.input=a;this.extractedFaces=r}},Vo=class extends wg{async run(){let t=await this.parentTask,n=await Bo(t,this.input,async a=>Promise.all(a.map(r=>Qe.faceExpressionNet.predictExpressions(r))),this.extractedFaces);return t.map((a,r)=>pg(a,n[r]))}withAgeAndGender(){return new Go(this,this.input)}},Uo=class extends wg{async run(){let t=await this.parentTask;if(!t)return;let n=await gp(t,this.input,a=>Qe.faceExpressionNet.predictExpressions(a),this.extractedFaces);return pg(t,n)}withAgeAndGender(){return new Ho(this,this.input)}},$s=class extends Vo{withAgeAndGender(){return new Ds(this,this.input)}withFaceDescriptors(){return new Ur(this,this.input)}},Fs=class extends Uo{withAgeAndGender(){return new Rs(this,this.input)}withFaceDescriptor(){return new Gr(this,this.input)}};var kg=class extends wa{constructor(n,a,r){super();this.parentTask=n;this.input=a;this.extractedFaces=r}},Go=class extends kg{async run(){let t=await this.parentTask,n=await Bo(t,this.input,async a=>Promise.all(a.map(r=>Qe.ageGenderNet.predictAgeAndGender(r))),this.extractedFaces);return t.map((a,r)=>{let{age:s,gender:i,genderProbability:o}=n[r];return yg(xg(a,i,o),s)})}withFaceExpressions(){return new Vo(this,this.input)}},Ho=class extends kg{async run(){let t=await this.parentTask;if(!t)return;let{age:n,gender:a,genderProbability:r}=await gp(t,this.input,s=>Qe.ageGenderNet.predictAgeAndGender(s),this.extractedFaces);return yg(xg(t,a,r),n)}withFaceExpressions(){return new Uo(this,this.input)}},Ds=class extends Go{withFaceExpressions(){return new $s(this,this.input)}withFaceDescriptors(){return new Ur(this,this.input)}},Rs=class extends Ho{withFaceExpressions(){return new Fs(this,this.input)}withFaceDescriptor(){return new Gr(this,this.input)}};var Sd=class extends wa{constructor(n,a){super();this.parentTask=n;this.input=a}},Ur=class extends Sd{async run(){let t=await this.parentTask;return(await Bo(t,this.input,a=>Promise.all(a.map(r=>Qe.faceRecognitionNet.computeFaceDescriptor(r))),null,a=>a.landmarks.align(null,{useDlibAlignment:!0}))).map((a,r)=>bg(t[r],a))}withFaceExpressions(){return new $s(this,this.input)}withAgeAndGender(){return new Ds(this,this.input)}},Gr=class extends Sd{async run(){let t=await this.parentTask;if(!t)return;let n=await gp(t,this.input,a=>Qe.faceRecognitionNet.computeFaceDescriptor(a),null,a=>a.landmarks.align(null,{useDlibAlignment:!0}));return bg(t,n)}withFaceExpressions(){return new Fs(this,this.input)}withAgeAndGender(){return new Rs(this,this.input)}};var Td=class extends wa{constructor(n,a,r){super();this.parentTask=n;this.input=a;this.useTinyLandmarkNet=r}get landmarkNet(){return this.useTinyLandmarkNet?Qe.faceLandmark68TinyNet:Qe.faceLandmark68Net}},Nd=class extends Td{async run(){let t=await this.parentTask,n=t.map(i=>i.detection),a=this.input instanceof Te?await op(this.input,n):await ip(this.input,n),r=await Promise.all(a.map(i=>this.landmarkNet.detectLandmarks(i)));return a.forEach(i=>i instanceof Te&&i.dispose()),t.filter((i,o)=>r[o]).map((i,o)=>hp(i,r[o]))}withFaceExpressions(){return new $s(this,this.input)}withAgeAndGender(){return new Ds(this,this.input)}withFaceDescriptors(){return new Ur(this,this.input)}},Cd=class extends Td{async run(){let t=await this.parentTask;if(!t)return;let{detection:n}=t,a=this.input instanceof Te?await op(this.input,[n]):await ip(this.input,[n]),r=await this.landmarkNet.detectLandmarks(a[0]);return a.forEach(s=>s instanceof Te&&s.dispose()),hp(t,r)}withFaceExpressions(){return new Fs(this,this.input)}withAgeAndGender(){return new Rs(this,this.input)}withFaceDescriptor(){return new Gr(this,this.input)}};var _d=class extends wa{constructor(n,a=new va){super();this.input=n;this.options=a}},bp=class extends _d{async run(){let{input:t,options:n}=this,a;if(n instanceof Id)a=Qe.tinyFaceDetector.locateFaces(t,n);else if(n instanceof va)a=Qe.ssdMobilenetv1.locateFaces(t,n);else if(n instanceof Za)a=Qe.tinyYolov2.locateFaces(t,n);else throw new Error("detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | TinyYolov2Options");return a}runAndExtendWithFaceDetections(){return new Promise((t,n)=>{this.run().then(a=>t(a.map(r=>Eo({},r)))).catch(a=>n(a))})}withFaceLandmarks(t=!1){return new Nd(this.runAndExtendWithFaceDetections(),this.input,t)}withFaceExpressions(){return new Vo(this.runAndExtendWithFaceDetections(),this.input)}withAgeAndGender(){return new Go(this.runAndExtendWithFaceDetections(),this.input)}},Ed=class extends _d{async run(){let t=await new bp(this.input,this.options),n=t[0];return t.forEach(a=>{a.score>n.score&&(n=a)}),n}runAndExtendWithFaceDetection(){return new Promise(async t=>{let n=await this.run();t(n?Eo({},n):void 0)})}withFaceLandmarks(t=!1){return new Cd(this.runAndExtendWithFaceDetection(),this.input,t)}withFaceExpressions(){return new Uo(this.runAndExtendWithFaceDetection(),this.input)}withAgeAndGender(){return new Ho(this.runAndExtendWithFaceDetection(),this.input)}};function xce(e,t=new va){return new Ed(e,t)}function Ig(e,t=new va){return new bp(e,t)}async function v$(e,t){return Ig(e,new va(t?{minConfidence:t}:{})).withFaceLandmarks().withFaceDescriptors()}async function vce(e,t={}){return Ig(e,new Za(t)).withFaceLandmarks().withFaceDescriptors()}var wce=v$;function z1(e,t){if(e.length!==t.length)throw new Error("euclideanDistance: arr1.length !== arr2.length");let n=Array.from(e),a=Array.from(t);return Math.sqrt(n.map((r,s)=>r-a[s]).reduce((r,s)=>r+s*s,0))}var Ad=class{constructor(t,n=.6){this._distanceThreshold=n;let a=Array.isArray(t)?t:[t];if(!a.length)throw new Error("FaceRecognizer.constructor - expected atleast one input");let r=1,s=()=>`person ${r++}`;this._labeledDescriptors=a.map(i=>{if(i instanceof fr)return i;if(i instanceof Float32Array)return new fr(s(),[i]);if(i.descriptor&&i.descriptor instanceof Float32Array)return new fr(s(),[i.descriptor]);throw new Error("FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>")})}get labeledDescriptors(){return this._labeledDescriptors}get distanceThreshold(){return this._distanceThreshold}computeMeanDistance(t,n){return n.map(a=>z1(a,t)).reduce((a,r)=>a+r,0)/(n.length||1)}matchDescriptor(t){return this.labeledDescriptors.map(({descriptors:n,label:a})=>new ap(a,this.computeMeanDistance(t,n))).reduce((n,a)=>n.distancet.toJSON())}}static fromJSON(t){let n=t.labeledDescriptors.map(a=>fr.fromJSON(a));return new Ad(n,t.distanceThreshold)}};function kce(e){let t=new Wo;return t.extractWeights(e),t}function w$(e,t){let{width:n,height:a}=new bn(t.width,t.height);if(n<=0||a<=0)throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({width:n,height:a})}`);if(Array.isArray(e))return e.map(r=>w$(r,{width:n,height:a}));if(Ro(e)){let r=e.detection.forSize(n,a),s=e.unshiftedLandmarks.forSize(r.box.width,r.box.height);return hp(Eo(e,r),s)}return gr(e)?Eo(e,e.detection.forSize(n,a)):e instanceof aa||e instanceof bt?e.forSize(n,a):e}var Ice=WA;return sF(Sce);})(); + ${r.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=t.dataIdMap.get(a.dataId).id,o=t.dataIdMap.get(r.dataId).id,l=t.dataIdMap.get(s.dataId).id,u=a.shape[0],p=v.sizeFromShape(s.shape),d=t.makeOutput([u,p],a.dtype),c=t.dataIdMap.get(d.dataId).id,h=t.makeOutput([p],s.dtype),m=t.dataIdMap.get(h.dataId).id,f=t.makeOutput([3],"int32"),g=t.dataIdMap.get(f.dataId).id;FA(i,o,l,u,c,m,g);let b=t.readSync(f.dataId),y;switch(b[0]){case 0:{y=N.getSparseReshapeMultipleNegativeOneOutputDimErrorMessage(b[1],b[2]);break}case 1:{y=N.getSparseReshapeNegativeOutputDimErrorMessage(b[1],b[2]);break}case 2:y=N.getSparseReshapeEmptyTensorZeroOutputDimErrorMessage();break;case 3:{let x=Array.from(t.readSync(r.dataId)),w=Array.from(t.readSync(h.dataId));y=N.getSparseReshapeInputOutputMultipleErrorMessage(x,w);break}case 4:{let x=Array.from(t.readSync(r.dataId)),w=Array.from(t.readSync(h.dataId));y=N.getSparseReshapeInputOutputMismatchErrorMessage(x,w);break}default:y=""}if(t.disposeData(f.dataId),y)throw t.disposeData(d.dataId),t.disposeData(h.dataId),new Error(y);return[d,h]}var Tue={kernelName:Au,backendName:"wasm",setupFunc:Iue,kernelFunc:Sue},DA;function RA(e){DA=e.wasm.cwrap("SparseSegmentReduction",null,["number","number","number","number","number","number","number","number","number"])}function MA(e,t){let{backend:n,inputs:a}=e,{data:r,indices:s,segmentIds:i}=a,o=s.shape[0],l=n.readSync(i.dataId,o-1,o)[0],u=o>0?l+1:0;if(u<0)throw new Error(N.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let p=r.shape.slice();p[0]=u;let d=n.dataIdMap.get(r.dataId).id,c=n.dataIdMap.get(s.dataId).id,h=n.dataIdMap.get(i.dataId).id,m=n.makeOutput(p,r.dtype),f=n.dataIdMap.get(m.dataId).id,g=n.makeOutput([4],"int32"),b=n.dataIdMap.get(g.dataId).id;DA(d,Et[r.dtype],r.shape[0],c,h,f,b,t,0);let y=n.readSync(g.dataId),x;switch(y[0]){case 0:{x=N.getSparseSegmentReductionNegativeSegmentIdsErrorMessage();break}case 1:{x=N.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage();break}case 2:x=N.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(y[1],y[2]);break;case 3:x=N.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(y[1],y[2],y[3]);break;default:x=""}if(n.disposeData(g.dataId),x)throw n.disposeData(m.dataId),new Error(x);return m}function Nue(e){return MA(e,!0)}var Cue={kernelName:wc,backendName:"wasm",setupFunc:RA,kernelFunc:Nue};function _ue(e){return MA(e,!1)}var Eue={kernelName:kc,backendName:"wasm",setupFunc:RA,kernelFunc:_ue};function Aue(e){let{inputs:t,attrs:n,backend:a}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=n,o=v.parseAxisParam(i,r.shape)[0],l=N.prepareSplitSize(r,s,o),u=new Array(r.shape.length).fill(0),p=r.shape.slice();return l.map(d=>{let c=[...p];c[o]=d;let h=hi({inputs:{x:r},attrs:{begin:u,size:c},backend:a});return u[o]+=d,h})}var $ue={kernelName:Eu,backendName:"wasm",kernelFunc:Aue},Fue=an(so),Due=an(Ic),Rue=!0,Mue=dn(lo,Rue),PA;function Pue(e){PA=e.wasm.cwrap(xs,null,["number","number","number","number"])}function Oue(e){let{backend:t,inputs:n,attrs:a}=e,{alpha:r}=a,{x:s}=n,i=t.dataIdMap.get(s.dataId).id,o=t.makeOutput(s.shape,s.dtype),l=t.dataIdMap.get(o.dataId).id;return PA(i,r,Et[s.dtype],l),o}var Lue={kernelName:xs,backendName:"wasm",setupFunc:Pue,kernelFunc:Oue},OA;function zue(e){OA=e.wasm.cwrap($u,null,["number","array","number","array","array","array","array","array","number","number"])}function Wue(e){let{backend:t,inputs:n,attrs:a}=e,{x:r}=n,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:p,newAxisMask:d,shrinkAxisMask:c}=a,{finalShapeSparse:h,finalShape:m,isIdentity:f,sliceDim0:g,isSimpleSlice:b,begin:y,end:x,strides:w}=jt.sliceInfo(r.shape,s,i,o,l,u,p,d,c),I;if(f)I=Wn({inputs:{x:r},backend:t,attrs:{shape:m}});else if(g||b){v.assert(r.shape.length>=1,()=>`Input must have rank at least 1, got: ${r.shape.length}`);let T=jt.computeOutShape(y,x,w),C=hi({inputs:{x:r},backend:t,attrs:{begin:y,size:T}});I=Wn({inputs:{x:C},backend:t,attrs:{shape:m}}),t.disposeData(C.dataId)}else{let T=t.makeOutput(h,"float32"),C=t.dataIdMap.get(r.dataId).id,E=new Uint8Array(new Int32Array(v.computeStrides(r.shape)).buffer),A=new Uint8Array(new Int32Array(y).buffer),R=new Uint8Array(new Int32Array(x).buffer),F=new Uint8Array(new Int32Array(w).buffer),S=new Uint8Array(new Int32Array(h).buffer),M=new Uint8Array(new Int32Array(v.computeStrides(h)).buffer),B=t.dataIdMap.get(T.dataId).id;OA(C,E,r.shape.length,A,R,F,S,M,h.length,B),I=Wn({inputs:{x:T},backend:t,attrs:{shape:m}}),t.disposeData(T.dataId)}return I}var Bue={kernelName:$u,backendName:"wasm",setupFunc:zue,kernelFunc:Wue};function Vue(e){let{backend:t,inputs:n,attrs:a}=e,{data:r,dataSplits:s}=n,{separator:i,nGramWidths:o,leftPad:l,rightPad:u,padWidth:p,preserveShortSequences:d}=a,c=t.readSync(r.dataId),h=t.readSync(s.dataId),[m,f]=V0(c,h,i,o,l,u,p,d),g=t.makeOutput([m.length],"string"),b=t.dataIdMap.get(g.dataId);b.stringBytes=m;let y=t.makeOutput(s.shape,"int32");return t.typedArrayFromHeap(y).set(f),[g,y]}var Uue={kernelName:Sc,backendName:"wasm",kernelFunc:Vue};function Gue(e){let{backend:t,inputs:n,attrs:a}=e,{input:r,delimiter:s}=n,{skipEmpty:i}=a,o=t.readSync(r.dataId),l=t.readSync(s.dataId),[u,p,d]=U0(o,l[0],i),c=p.length,h=t.makeOutput([c,2],"int32");t.typedArrayFromHeap(h).set(u);let m=t.makeOutput([c],"string"),f=t.dataIdMap.get(m.dataId);f.stringBytes=p;let g=t.makeOutput([2],"int32");return t.typedArrayFromHeap(g).set(d),[h,m,g]}var Hue={kernelName:Tc,backendName:"wasm",kernelFunc:Gue};function jue(e){let{backend:t,inputs:n,attrs:a}=e,{input:r}=n,{numBuckets:s}=a,i=t.readSync(r.dataId),o=G0(i,s),l=t.makeOutput(r.shape,"int32");return t.typedArrayFromHeap(l).set(o),l}var que={kernelName:Nc,backendName:"wasm",kernelFunc:jue},Kue=!0,Xue=dn(uo,Kue),LA;function Yue(e){LA=e.wasm.cwrap(io,null,["number","number","number","number"])}function Zue(e){let{backend:t,inputs:n,attrs:a}=e,{axis:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:d,originalAxes:c,inputWasTransposed:h}=Es(i,r,t),m=d;if(h){let x=t.dataIdMap.get(p.dataId).id;x!==o&&(u=p,l=x,m=N.getInnerMostAxes(m.length,u.shape.length))}N.assertAxesAreInnerMostDims("sum",m,u.shape.length);let[f,g]=N.computeOutAndReduceShapes(u.shape,m),b=v.sizeFromShape(g),y=t.makeOutput(f,u.dtype);if(v.sizeFromShape(u.shape)!==0){let x=t.dataIdMap.get(y.dataId).id;LA(l,b,Et[y.dtype],x)}if(h&&t.disposeData(p.dataId),s){let x=N.expandShapeToKeepDim(y.shape,c);y.shape=x}return y}var Jue={kernelName:io,backendName:"wasm",setupFunc:Yue,kernelFunc:Zue},Que=an(po),epe=an(co),zA;function tpe(e){zA=e.wasm.cwrap(ys,null,["number","array","number","array","number","number"])}function npe(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,s=n.dataIdMap.get(r.dataId).id,{reps:i}=a,o=new Array(r.shape.length);for(let c=0;c{let{x:a}=e,{k:r,sorted:s}=n,i=t.dataIdMap.get(a.dataId).id,o=new Uint8Array(new Int32Array(a.shape).buffer),l=a.shape.slice();l[l.length-1]=r;let u=t.makeOutput(l,a.dtype),p=t.dataIdMap.get(u.dataId).id,d=t.makeOutput(l,"int32"),c=t.dataIdMap.get(d.dataId).id;return WA(i,o,a.shape.length,Et[a.dtype],r,s,p,c),[u,d]},ipe={kernelName:Fu,backendName:"wasm",setupFunc:rpe,kernelFunc:spe},BA;function ope(e){BA=e.wasm.cwrap(Du,null,["number","number","bool","number","number","number","number","number","number","array","number","array","number","number","number","number","number"])}function lpe(e){let{backend:t,inputs:n,attrs:a}=e,{image:r,transforms:s}=n,{interpolation:i,fillMode:o,fillValue:l,outputShape:u}=a,[p,d,c,h]=r.shape,[m,f]=u!=null?u:[d,c],g=[p,m,f,h],b=new Uint8Array(new Int32Array(v.computeStrides(r.shape)).buffer),y=new Uint8Array(new Int32Array(v.computeStrides(g)).buffer),x=t.makeOutput(g,r.dtype),w=t.dataIdMap.get(x.dataId).id,I=t.dataIdMap.get(r.dataId).id,T=t.dataIdMap.get(s.dataId).id,C=i==="nearest"?1:2,E;switch(o){case"constant":E=1;break;case"reflect":E=2;break;case"wrap":E=3;break;case"nearest":E=4;break;default:E=1;break}return BA(I,T,s.shape[0]>1,p,m,f,h,c,d,b,r.shape.length-1,y,g.length-1,C,E,l,w),x}var upe={kernelName:Du,backendName:"wasm",setupFunc:ope,kernelFunc:lpe};function ppe(e){let{inputs:t,backend:n,attrs:a}=e,{value:r}=t,{axis:s}=a;s<0&&(s+=r.shape.length);let i=r.shape[s],o=r.shape.length,l=new Array(o-1),u=0;for(let h=0;h({dataId:h,dtype:m,shape:l}))}var cpe={kernelName:Ru,backendName:"wasm",kernelFunc:ppe};function dpe(e){let{inputs:{x:t},backend:n}=e,a=n.makeOutput(t.shape,t.dtype);return n.typedArrayFromHeap(a).fill(0),a}var hpe={kernelName:Mu,backendName:"wasm",kernelFunc:dpe},mpe=[Vse,Use,Hse,Kse,nie,sie,lie,cie,fie,wie,kie,Iie,Nie,Cie,Aie,Die,Rie,Mie,Lie,Bie,Gie,qie,Yie,Zie,Qie,eoe,toe,noe,soe,ioe,loe,coe,moe,boe,voe,Ioe,Toe,Coe,Xse,Aoe,Foe,Roe,Moe,Ooe,Loe,Woe,Voe,Hoe,qoe,Yoe,Qoe,nle,rle,ole,ule,ple,hle,gle,xle,wle,Sle,Nle,_le,vA,Fle,Mle,Lle,Wle,Vle,Ule,Gle,die,qle,Yle,Qle,nue,aue,rue,oue,pue,hue,mue,xie,bue,xue,kue,Tue,Cue,Eue,$ue,Fue,Due,Mue,Lue,Bue,Uue,Hue,que,Xue,Jue,Que,epe,ape,ipe,upe,Qse,cpe,hpe];for(let e of mpe)_c(e);var Sx=H();Sx.registerFlag("WASM_HAS_SIMD_SUPPORT",async()=>{try{return WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,10,9,1,7,0,65,0,253,15,26,11]))}catch(e){return!1}});Sx.registerFlag("WASM_HAS_MULTITHREAD_SUPPORT",async()=>{if(Sx.get("IS_NODE"))return!1;try{return new MessageChannel().port1.postMessage(new SharedArrayBuffer(1)),WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,5,4,1,3,1,1,10,11,1,9,0,65,0,254,16,2,0,26,11]))}catch(e){return!1}});var PI=ms(RF()),fpe=ms(MF()),OI=ms(PF()),LI=PI.default||PI,gpe=OI.default||OI,VA=class extends pc{constructor(e){super(),this.wasm=e,this.dataIdNextNumber=1,this.wasm.tfjs.initWithThreadsCount(UA),Tx=this.wasm.tfjs.getThreadsCount(),this.dataIdMap=new om(this,_a())}write(e,t,n){let a={id:this.dataIdNextNumber++};return this.move(a,e,t,n,1),a}numDataIds(){return this.dataIdMap.numDataIds()}async time(e){let t=v.now();return e(),{kernelMs:v.now()-t}}move(e,t,n,a,r){let s=this.dataIdNextNumber++;if(a==="string"){let u=t;this.dataIdMap.set(e,{id:s,stringBytes:u,shape:n,dtype:a,memoryOffset:null,refCount:r});return}let i=v.sizeFromShape(n),o=i*v.bytesPerElement(a),l=this.wasm._malloc(o);this.dataIdMap.set(e,{id:s,memoryOffset:l,shape:n,dtype:a,refCount:r}),this.wasm.tfjs.registerTensor(s,i,l),t!=null&&this.wasm.HEAPU8.set(new Uint8Array(t.buffer,t.byteOffset,o),l)}async read(e){return this.readSync(e)}readSync(e,t,n){let{memoryOffset:a,dtype:r,shape:s,stringBytes:i}=this.dataIdMap.get(e);if(r==="string")return(t==null||t===0)&&(n==null||n>=i.length)?i:i.slice(t,n);t=t||0,n=n||v.sizeFromShape(s);let o=v.bytesPerElement(r),l=this.wasm.HEAPU8.slice(a+t*o,a+n*o);return xpe(l.buffer,r)}disposeData(e,t=!1){if(this.dataIdMap.has(e)){let n=this.dataIdMap.get(e);if(n.refCount--,!t&&n.refCount>0)return!1;this.wasm._free(n.memoryOffset),this.wasm.tfjs.disposeData(n.id),this.dataIdMap.delete(e)}return!0}refCount(e){return this.dataIdMap.has(e)?this.dataIdMap.get(e).refCount:0}incRef(e){let t=this.dataIdMap.get(e);t!=null&&t.refCount++}floatPrecision(){return 32}getMemoryOffset(e){return this.dataIdMap.get(e).memoryOffset}dispose(){this.wasm.tfjs.dispose(),"PThread"in this.wasm&&this.wasm.PThread.terminateAllThreads(),this.wasm=null}memory(){return{unreliable:!1}}makeOutput(e,t,n){let a;if(n==null)a=this.write(null,e,t);else{let r=this.dataIdNextNumber++;a={id:r},this.dataIdMap.set(a,{id:r,memoryOffset:n,shape:e,dtype:t,refCount:1});let s=v.sizeFromShape(e);this.wasm.tfjs.registerTensor(r,s,n)}return{dataId:a,shape:e,dtype:t}}typedArrayFromHeap({shape:e,dtype:t,dataId:n}){let a=this.wasm.HEAPU8.buffer,{memoryOffset:r}=this.dataIdMap.get(n),s=v.sizeFromShape(e);switch(t){case"float32":return new Float32Array(a,r,s);case"int32":return new Int32Array(a,r,s);case"bool":return new Uint8Array(a,r,s);default:throw new Error(`Unknown dtype ${t}`)}}};function bpe(e){return(t,n)=>(v.fetch(e,{credentials:"same-origin"}).then(a=>{a.ok||t.env.a(`failed to load wasm binary file at '${e}'`),a.arrayBuffer().then(r=>{WebAssembly.instantiate(r,t).then(s=>{n(s.instance,s.module)})})}),{})}function zI(e,t,n){if(sm!=null)return sm;let a="tfjs-backend-wasm.wasm";return e&&t?a="tfjs-backend-wasm-threaded-simd.wasm":e&&(a="tfjs-backend-wasm-simd.wasm"),jp!=null&&jp[a]!=null?jp[a]:n+a}async function ype(){let[e,t]=await Promise.all([H().getAsync("WASM_HAS_SIMD_SUPPORT"),H().getAsync("WASM_HAS_MULTITHREAD_SUPPORT")]);return new Promise((n,a)=>{let r={};r.locateFile=(o,l)=>{if(o.endsWith(".worker.js")){let u=fpe.wasmWorkerContents.replace(/\n/g,"\\n"),p=new Blob([u],{type:"application/javascript"});return URL.createObjectURL(p)}return o.endsWith(".wasm")?zI(e,t,Up!=null?Up:l):l+o},p1&&(r.instantiateWasm=bpe(zI(e,t,Up!=null?Up:"")));let s=!1;r.onAbort=()=>{s||qp||(qp=!0,a({message:"Make sure the server can serve the `.wasm` file relative to the bundled js file. For more details see https://github.com/tensorflow/tfjs/blob/master/tfjs-backend-wasm/README.md#using-bundlers"}))};let i;t&&e&&sm==null?(r.mainScriptUrlOrBlob=new Blob(["var WasmBackendModuleThreadedSimd = "+LI.toString()],{type:"text/javascript"}),i=LI(r)):i=gpe(r),i.then(o=>{s=!0,qp=!1;let l=null;o.tfjs={init:o.cwrap("init",null,[]),initWithThreadsCount:o.cwrap("init_with_threads_count",null,["number"]),getThreadsCount:o.cwrap("get_threads_count","number",[]),registerTensor:o.cwrap("register_tensor",null,["number","number","number"]),disposeData:o.cwrap("dispose_data",l,["number"]),dispose:o.cwrap("dispose",l,[])},n({wasm:o})}).catch(a)})}function xpe(e,t){switch(t){case"float32":return new Float32Array(e);case"int32":return new Int32Array(e);case"bool":return new Uint8Array(e);default:throw new Error(`Unknown dtype ${t}`)}}var vpe=["tfjs-backend-wasm.wasm","tfjs-backend-wasm-simd.wasm","tfjs-backend-wasm-threaded-simd.wasm"],sm=null,Up=null,jp={},qp=!1,p1=!1;function wpe(e,t=!1){if(Vx("setWasmPath has been deprecated in favor of setWasmPaths and will be removed in a future release."),qp)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPath()` before you call `tf.setBackend()` or `tf.ready()`");sm=e,p1=t}function kpe(e,t=!1){if(qp)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPaths()` before you call `tf.setBackend()` or `tf.ready()`");if(typeof e=="string")Up=e;else{jp=e;let n=vpe.filter(a=>jp[a]==null);if(n.length>0)throw new Error(`There were no entries found for the following binaries: ${n.join(",")}. Please either call setWasmPaths with a map providing a path for each binary, or with a string indicating the directory where all the binaries can be found.`)}p1=t}var UA=-1,Tx=-1;function Ipe(e){UA=e}function Spe(){if(Tx===-1)throw new Error("WASM backend not initialized.");return Tx}var Tpe="4.0.0",Npe=2;Gm("wasm",async()=>{let{wasm:e}=await ype();return new VA(e)},Npe);var Cpe="4.0.0",_pe="4.0.0",Epe="4.0.0",Ape="4.0.0",$pe="4.0.0",Fpe="4.0.0",Dpe="4.0.0",Rpe="4.0.0",Mpe={tfjs:Cpe,"tfjs-core":_pe,"tfjs-data":Epe,"tfjs-layers":Ape,"tfjs-converter":$pe,"tfjs-backend-cpu":Fpe,"tfjs-backend-webgl":Dpe,"tfjs-backend-wasm":Rpe};var M1={};rh(M1,{AnchorPosition:()=>N1,DrawBox:()=>md,DrawBoxOptions:()=>ag,DrawFaceLandmarks:()=>mg,DrawFaceLandmarksOptions:()=>hg,DrawTextField:()=>zr,DrawTextFieldOptions:()=>op,drawContour:()=>Pr,drawDetections:()=>Gpe,drawFaceExpressions:()=>Xpe,drawFaceLandmarks:()=>Zpe});function Pr(e,t,n=!1){if(e.beginPath(),t.slice(1).forEach(({x:a,y:r},s)=>{let i=t[s];e.moveTo(i.x,i.y),e.lineTo(a,r)}),n){let a=t[t.length-1],r=t[0];if(!a||!r)return;e.moveTo(a.x,a.y),e.lineTo(r.x,r.y)}e.stroke()}var m1={};rh(m1,{computeReshapedDimensions:()=>h1,getCenterPoint:()=>No,isDimensions:()=>tg,isEven:()=>eg,isFloat:()=>d1,isTensor:()=>So,isTensor1D:()=>Ppe,isTensor2D:()=>c1,isTensor3D:()=>Or,isTensor4D:()=>va,isValidNumber:()=>Ya,isValidProbablitiy:()=>rp,range:()=>fr,round:()=>To});var bn=class{constructor(t,n){if(!Ya(t)||!Ya(n))throw new Error(`Dimensions.constructor - expected width and height to be valid numbers, instead have ${JSON.stringify({width:t,height:n})}`);this._width=t,this._height=n}get width(){return this._width}get height(){return this._height}reverse(){return new bn(1/this.width,1/this.height)}};function So(e,t){return e instanceof Te&&e.shape.length===t}function Ppe(e){return So(e,1)}function c1(e){return So(e,2)}function Or(e){return So(e,3)}function va(e){return So(e,4)}function d1(e){return e%1!==0}function eg(e){return e%2===0}function To(e,t=2){let n=10**t;return Math.floor(e*n)/n}function tg(e){return e&&e.width&&e.height}function h1({width:e,height:t},n){let a=n/Math.max(t,e);return new bn(Math.round(e*a),Math.round(t*a))}function No(e){return e.reduce((t,n)=>t.add(n),new De(0,0)).div(new De(e.length,e.length))}function fr(e,t,n){return Array(e).fill(0).map((a,r)=>t+r*n)}function Ya(e){return!!e&&e!==1/0&&e!==-1/0&&!Number.isNaN(e)||e===0}function rp(e){return Ya(e)&&e>=0&&e<=1}var De=class{constructor(t,n){this._x=t,this._y=n}get x(){return this._x}get y(){return this._y}add(t){return new De(this.x+t.x,this.y+t.y)}sub(t){return new De(this.x-t.x,this.y-t.y)}mul(t){return new De(this.x*t.x,this.y*t.y)}div(t){return new De(this.x/t.x,this.y/t.y)}abs(){return new De(Math.abs(this.x),Math.abs(this.y))}magnitude(){return Math.sqrt(this.x**2+this.y**2)}floor(){return new De(Math.floor(this.x),Math.floor(this.y))}};var st=class{static isRect(t){return!!t&&[t.x,t.y,t.width,t.height].every(Ya)}static assertIsValidBox(t,n,a=!1){if(!st.isRect(t))throw new Error(`${n} - invalid box: ${JSON.stringify(t)}, expected object with properties x, y, width, height`);if(!a&&(t.width<0||t.height<0))throw new Error(`${n} - width (${t.width}) and height (${t.height}) must be positive numbers`)}constructor(t,n=!0){let a=t||{},r=[a.left,a.top,a.right,a.bottom].every(Ya),s=[a.x,a.y,a.width,a.height].every(Ya);if(!s&&!r)throw new Error(`Box.constructor - expected box to be IBoundingBox | IRect, instead have ${JSON.stringify(a)}`);let[i,o,l,u]=s?[a.x,a.y,a.width,a.height]:[a.left,a.top,a.right-a.left,a.bottom-a.top];st.assertIsValidBox({x:i,y:o,width:l,height:u},"Box.constructor",n),this._x=i,this._y=o,this._width=l,this._height=u}get x(){return this._x}get y(){return this._y}get width(){return this._width}get height(){return this._height}get left(){return this.x}get top(){return this.y}get right(){return this.x+this.width}get bottom(){return this.y+this.height}get area(){return this.width*this.height}get topLeft(){return new De(this.left,this.top)}get topRight(){return new De(this.right,this.top)}get bottomLeft(){return new De(this.left,this.bottom)}get bottomRight(){return new De(this.right,this.bottom)}round(){let[t,n,a,r]=[this.x,this.y,this.width,this.height].map(s=>Math.round(s));return new st({x:t,y:n,width:a,height:r})}floor(){let[t,n,a,r]=[this.x,this.y,this.width,this.height].map(s=>Math.floor(s));return new st({x:t,y:n,width:a,height:r})}toSquare(){let{x:t,y:n,width:a,height:r}=this,s=Math.abs(a-r);return an&&(o=-d+n+a,d=n),c>t&&(l=-c+t+r,c=t),u<1&&(l=2-u,u=1),p<1&&(l=2-p,p=1),{dy:i,edy:l,dx:s,edx:o,y:p,ey:c,x:u,ex:d,w:a,h:r}}calibrate(t){return new st({left:this.left+t.left*this.width,top:this.top+t.top*this.height,right:this.right+t.right*this.width,bottom:this.bottom+t.bottom*this.height}).toSquare().round()}};var Co=class extends st{constructor(t,n,a,r,s=!1){super({left:t,top:n,right:a,bottom:r},s)}};var Lr=class{constructor(t,n,a,r,s){this._imageDims=new bn(s.width,s.height),this._score=t,this._classScore=n,this._className=a,this._box=new st(r).rescale(this._imageDims)}get score(){return this._score}get classScore(){return this._classScore}get className(){return this._className}get box(){return this._box}get imageDims(){return this._imageDims}get imageWidth(){return this.imageDims.width}get imageHeight(){return this.imageDims.height}get relativeBox(){return new st(this._box).rescale(this.imageDims.reverse())}forSize(t,n){return new Lr(this.score,this.classScore,this.className,this.relativeBox,{width:t,height:n})}};var bt=class extends Lr{constructor(t,n,a){super(t,t,"",n,a)}forSize(t,n){let{score:a,relativeBox:r,imageDims:s}=super.forSize(t,n);return new bt(a,r,s)}};function f1(e,t,n=!0){let a=Math.max(0,Math.min(e.right,t.right)-Math.max(e.left,t.left)),r=Math.max(0,Math.min(e.bottom,t.bottom)-Math.max(e.top,t.top)),s=a*r;return n?s/(e.area+t.area-s):s/Math.min(e.area,t.area)}function g1(e){let t=e.map(o=>o.x),n=e.map(o=>o.y),a=t.reduce((o,l)=>lloo({score:i,boxIndex:o})).sort((i,o)=>i.score-o.score).map(i=>i.boxIndex),s=[];for(;r.length>0;){let i=r.pop();s.push(i);let o=r,l=[];for(let u=0;ul[p]<=n)}return s}function Za(e,t){return P(()=>{let[n,a,r]=t,s=gn([...e.shape.slice(0,3),1],n,"float32"),i=gn([...e.shape.slice(0,3),1],a,"float32"),o=gn([...e.shape.slice(0,3),1],r,"float32"),l=Ze([s,i,o],3);return pe(e,l)})}function y1(e,t=!1){return P(()=>{let[n,a]=e.shape.slice(1);if(n===a)return e;let r=Math.abs(n-a),s=Math.round(r*(t?.5:1)),i=n>a?2:1,o=c=>{let h=e.shape.slice();return h[i]=c,gn(h,0,"float32")},l=o(s),u=r-l.shape[i],d=[t&&u?o(u):null,e,l].filter(c=>!!c).map(c=>oe(c,"float32"));return Ze(d,i)})}function Ope(e){let t=e.slice();for(let n=t.length-1;n>0;n--){let a=Math.floor(Math.random()*(n+1)),r=t[n];t[n]=t[a],t[a]=r}return t}function dd(e){return 1/(1+Math.exp(-e))}function Lpe(e){return Math.log(e/(1-e))}var _o=class extends st{constructor(t,n,a,r,s=!1){super({x:t,y:n,width:a,height:r},s)}};var zpe=.5,Wpe=.43,Bpe=.45,ra=class{constructor(t,n,a=new De(0,0)){let{width:r,height:s}=n;this._imgDims=new bn(r,s),this._shift=a,this._positions=t.map(i=>i.mul(new De(r,s)).add(a))}get shift(){return new De(this._shift.x,this._shift.y)}get imageWidth(){return this._imgDims.width}get imageHeight(){return this._imgDims.height}get positions(){return this._positions}get relativePositions(){return this._positions.map(t=>t.sub(this._shift).div(new De(this.imageWidth,this.imageHeight)))}forSize(t,n){return new this.constructor(this.relativePositions,{width:t,height:n})}shiftBy(t,n){return new this.constructor(this.relativePositions,this._imgDims,new De(t,n))}shiftByPoint(t){return this.shiftBy(t.x,t.y)}align(t,n={}){if(t){let s=t instanceof bt?t.box.floor():new st(t);return this.shiftBy(s.x,s.y).align(null,n)}let{useDlibAlignment:a,minBoxPadding:r}={useDlibAlignment:!1,minBoxPadding:.2,...n};return a?this.alignDlib():this.alignMinBbox(r)}alignDlib(){let t=this.getRefPointsForAlignment(),[n,a,r]=t,s=d=>r.sub(d).magnitude(),i=(s(n)+s(a))/2,o=Math.floor(i/Bpe),l=No(t),u=Math.floor(Math.max(0,l.x-zpe*o)),p=Math.floor(Math.max(0,l.y-Wpe*o));return new _o(u,p,Math.min(o,this.imageWidth+u),Math.min(o,this.imageHeight+p))}alignMinBbox(t){let n=g1(this.positions);return n.pad(n.width*t,n.height*t)}getRefPointsForAlignment(){throw new Error("getRefPointsForAlignment not implemented by base class")}};var x1=class extends ra{getRefPointsForAlignment(){let t=this.positions;return[t[0],t[1],No([t[3],t[4]])]}};var Eo=class extends ra{getJawOutline(){return this.positions.slice(0,17)}getLeftEyeBrow(){return this.positions.slice(17,22)}getRightEyeBrow(){return this.positions.slice(22,27)}getNose(){return this.positions.slice(27,36)}getLeftEye(){return this.positions.slice(36,42)}getRightEye(){return this.positions.slice(42,48)}getMouth(){return this.positions.slice(48,68)}getRefPointsForAlignment(){return[this.getLeftEye(),this.getRightEye(),this.getMouth()].map(No)}};var sp=class{constructor(t,n){this._label=t,this._distance=n}get label(){return this._label}get distance(){return this._distance}toString(t=!0){return`${this.label}${t?` (${To(this.distance)})`:""}`}};var ip=class extends st{constructor(n,a){super(n);this._label=a}static assertIsValidLabeledBox(n,a){if(st.assertIsValidBox(n,a),!Ya(n.label))throw new Error(`${a} - expected property label (${n.label}) to be a number`)}get label(){return this._label}};var gr=class{constructor(t,n){if(typeof t!="string")throw new Error("LabeledFaceDescriptors - constructor expected label to be a string");if(!Array.isArray(n)||n.some(a=>!(a instanceof Float32Array)))throw new Error("LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array");this._label=t,this._descriptors=n}get label(){return this._label}get descriptors(){return this._descriptors}toJSON(){return{label:this.label,descriptors:this.descriptors.map(t=>Array.from(t))}}static fromJSON(t){let n=t.descriptors.map(a=>new Float32Array(a));return new gr(t.label,n)}};var v1=class extends ip{constructor(n,a,r,s){super(n,a);this._score=r,this._classScore=s}static assertIsValidPredictedBox(n,a){if(ip.assertIsValidLabeledBox(n,a),!rp(n.score)||!rp(n.classScore))throw new Error(`${a} - expected properties score (${n.score}) and (${n.classScore}) to be a number between [0, 1]`)}get score(){return this._score}get classScore(){return this._classScore}};function br(e){return e.detection instanceof bt}function Ao(e,t){return{...e,...{detection:t}}}function w1(){let e=window.fetch;if(!e)throw new Error("fetch - missing fetch implementation for browser environment");return{Canvas:HTMLCanvasElement,CanvasRenderingContext2D,Image:HTMLImageElement,ImageData,Video:HTMLVideoElement,createCanvasElement:()=>document.createElement("canvas"),createImageElement:()=>document.createElement("img"),createVideoElement:()=>document.createElement("video"),fetch:e,readFile:()=>{throw new Error("readFile - filesystem not available for browser environment")}}}function hd(){return typeof global=="object"&&typeof process!="undefined"&&process.versions!=null&&process.versions.node!=null}function ng(e){let t="";if(!e&&hd())try{e=Xr("fs")}catch(a){t=a.toString()}return{readFile:e?a=>new Promise((r,s)=>{e.readFile(a,(i,o)=>i?s(i):r(o))}):()=>{throw new Error(`readFile - failed to require fs in nodejs environment with error: ${t}`)}}}function k1(){let e=global.Canvas||global.HTMLCanvasElement,t=global.Image||global.HTMLImageElement,n=global.Video||global.HTMLVideoElement,a=()=>{if(e)return new e;throw new Error("createCanvasElement - missing Canvas implementation for nodejs environment")},r=()=>{if(t)return new t;throw new Error("createImageElement - missing Image implementation for nodejs environment")},s=()=>{if(n)return new n;throw new Error("createVideoElement - missing Video implementation for nodejs environment")},i=global.fetch,o=ng();return{Canvas:e||class{},CanvasRenderingContext2D:global.CanvasRenderingContext2D||class{},Image:t||class{},ImageData:global.ImageData||class{},Video:global.HTMLVideoElement||class{},createCanvasElement:a,createImageElement:r,createVideoElement:s,fetch:i,...o}}function I1(){return typeof window=="object"&&typeof document!="undefined"&&typeof HTMLImageElement!="undefined"&&typeof HTMLCanvasElement!="undefined"&&typeof HTMLVideoElement!="undefined"&&typeof ImageData!="undefined"&&typeof CanvasRenderingContext2D!="undefined"}var rn;function Vpe(){if(!rn)throw new Error("getEnv - environment is not defined, check isNodejs() and isBrowser()");return rn}function S1(e){rn=e}function T1(){return I1()?S1(w1()):hd()?S1(k1()):null}function Upe(e){if(rn||T1(),!rn)throw new Error("monkeyPatch - environment is not defined, check isNodejs() and isBrowser()");let{Canvas:t=rn.Canvas,Image:n=rn.Image}=e;rn.Canvas=t,rn.Image=n,rn.createCanvasElement=e.createCanvasElement||(()=>new t),rn.createImageElement=e.createImageElement||(()=>new n),rn.ImageData=e.ImageData||rn.ImageData,rn.Video=e.Video||rn.Video,rn.fetch=e.fetch||rn.fetch,rn.readFile=e.readFile||rn.readFile}var Je={getEnv:Vpe,setEnv:S1,initialize:T1,createBrowserEnv:w1,createFileSystem:ng,createNodejsEnv:k1,monkeyPatch:Upe,isBrowser:I1,isNodejs:hd};T1();function $o(e){return!Je.isNodejs()&&typeof e=="string"?document.getElementById(e):e}function Gn(e){let{Canvas:t,CanvasRenderingContext2D:n}=Je.getEnv();if(e instanceof n)return e;let a=$o(e);if(!(a instanceof t))throw new Error("resolveContext2d - expected canvas to be of instance of Canvas");let r=a.getContext("2d");if(!r)throw new Error("resolveContext2d - canvas 2d context is null");return r}var N1=(r=>(r.TOP_LEFT="TOP_LEFT",r.TOP_RIGHT="TOP_RIGHT",r.BOTTOM_LEFT="BOTTOM_LEFT",r.BOTTOM_RIGHT="BOTTOM_RIGHT",r))(N1||{}),op=class{constructor(t={}){let{anchorPosition:n,backgroundColor:a,fontColor:r,fontSize:s,fontStyle:i,padding:o}=t;this.anchorPosition=n||"TOP_LEFT",this.backgroundColor=a||"rgba(0, 0, 0, 0.5)",this.fontColor=r||"rgba(255, 255, 255, 1)",this.fontSize=s||14,this.fontStyle=i||"Georgia",this.padding=o||4}},zr=class{constructor(t,n,a={}){this.text=typeof t=="string"?[t]:t instanceof zr?t.text:t,this.anchor=n,this.options=new op(a)}measureWidth(t){let{padding:n}=this.options;return this.text.map(a=>t.measureText(a).width).reduce((a,r)=>a{let m=l+d.x,f=l+d.y+(h+1)*i;a.fillText(c,m,f)})}};var ag=class{constructor(t={}){let{boxColor:n,lineWidth:a,label:r,drawLabelOptions:s}=t;this.boxColor=n||"rgba(0, 0, 255, 1)",this.lineWidth=a||2,this.label=r;let i={anchorPosition:"BOTTOM_LEFT",backgroundColor:this.boxColor};this.drawLabelOptions=new op({...i,...s})}},md=class{constructor(t,n={}){this.box=new st(t),this.options=new ag(n)}draw(t){let n=Gn(t),{boxColor:a,lineWidth:r}=this.options,{x:s,y:i,width:o,height:l}=this.box;n.strokeStyle=a,n.lineWidth=r,n.strokeRect(s,i,o,l);let{label:u}=this.options;u&&new zr([u],{x:s-r/2,y:i},this.options.drawLabelOptions).draw(t)}};function Gpe(e,t){(Array.isArray(t)?t:[t]).forEach(a=>{let r=a instanceof bt?a.score:br(a)?a.detection.score:void 0,s=a instanceof bt?a.box:br(a)?a.detection.box:new st(a),i=r?`${To(r)}`:void 0;new md(s,{label:i}).draw(e)})}function fd(e){let{Image:t,Video:n}=Je.getEnv();return e instanceof t&&e.complete||e instanceof n&&e.readyState>=3}function C1(e){return new Promise((t,n)=>{(e instanceof Je.getEnv().Canvas||fd(e))&&t(null);function a(s){!s.currentTarget||(s.currentTarget.removeEventListener("load",r),s.currentTarget.removeEventListener("error",a),n(s))}function r(s){!s.currentTarget||(s.currentTarget.removeEventListener("load",r),s.currentTarget.removeEventListener("error",a),t(s))}e.addEventListener("load",r),e.addEventListener("error",a)})}function _1(e){return new Promise((t,n)=>{e instanceof Blob||n(new Error("bufferToImage - expected buf to be of type: Blob"));let a=new FileReader;a.onload=()=>{typeof a.result!="string"&&n(new Error("bufferToImage - expected reader.result to be a string, in onload"));let r=Je.getEnv().createImageElement();r.onload=()=>t(r),r.onerror=n,r.src=a.result},a.onerror=n,a.readAsDataURL(e)})}function Fo(e){let{Image:t,Video:n}=Je.getEnv();return e instanceof t?new bn(e.naturalWidth,e.naturalHeight):e instanceof n?new bn(e.videoWidth,e.videoHeight):new bn(e.width,e.height)}function Do({width:e,height:t}){let{createCanvasElement:n}=Je.getEnv(),a=n();return a.width=e,a.height=t,a}function gd(e,t){let{ImageData:n}=Je.getEnv();if(!(e instanceof n)&&!fd(e))throw new Error("createCanvasFromMedia - media has not finished loading yet");let{width:a,height:r}=t||Fo(e),s=Do({width:a,height:r});return e instanceof n?Gn(s).putImageData(e,0,0):Gn(s).drawImage(e,0,0,a,r),s}async function E1(e,t){let n=t||Je.getEnv().createCanvasElement(),[a,r,s]=e.shape.slice(va(e)?1:0),i=P(()=>e.as3D(a,r,s).toInt());return await ho.toPixels(i,n),i.dispose(),n}function rg(e){let{Image:t,Canvas:n,Video:a}=Je.getEnv();return e instanceof t||e instanceof n||e instanceof a}function A1(e,t,n=!1){let{Image:a,Canvas:r}=Je.getEnv();if(!(e instanceof a||e instanceof r))throw new Error("imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement");if(t<=0)return Do({width:1,height:1});let s=Fo(e),i=t/Math.max(s.height,s.width),o=i*s.width,l=i*s.height,u=Do({width:t,height:t}),p=e instanceof r?e:gd(e),d=Math.abs(o-l)/2,c=n&&o0&&p.height>0&&Gn(u).drawImage(p,c,h,o,l),u}var yr=class{constructor(t,n=!1){this._imageTensors=[];this._canvases=[];this._treatAsBatchInput=!1;this._inputDimensions=[];this._inputSize=0;if(!Array.isArray(t))throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${t}`);this._treatAsBatchInput=n,this._batchSize=t.length,t.forEach((a,r)=>{if(Or(a)){this._imageTensors[r]=a,this._inputDimensions[r]=a.shape;return}if(va(a)){let i=a.shape[0];if(i!==1)throw new Error(`NetInput - tf.Tensor4D with batchSize ${i} passed, but not supported in input array`);this._imageTensors[r]=a,this._inputDimensions[r]=a.shape.slice(1);return}let s=a instanceof Je.getEnv().Canvas?a:gd(a);this._canvases[r]=s,this._inputDimensions[r]=[s.height,s.width,3]})}get imageTensors(){return this._imageTensors}get canvases(){return this._canvases}get isBatchInput(){return this.batchSize>1||this._treatAsBatchInput}get batchSize(){return this._batchSize}get inputDimensions(){return this._inputDimensions}get inputSize(){return this._inputSize}get reshapedInputDimensions(){return fr(this.batchSize,0,1).map((t,n)=>this.getReshapedInputDimensions(n))}getInput(t){return this.canvases[t]||this.imageTensors[t]}getInputDimensions(t){return this._inputDimensions[t]}getInputHeight(t){return this._inputDimensions[t][0]}getInputWidth(t){return this._inputDimensions[t][1]}getReshapedInputDimensions(t){if(typeof this.inputSize!="number")throw new Error("getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet");let n=this.getInputWidth(t),a=this.getInputHeight(t);return h1({width:n,height:a},this.inputSize)}toBatchTensor(t,n=!0){return this._inputSize=t,P(()=>{let a=fr(this.batchSize,0,1).map(s=>{let i=this.getInput(s);if(i instanceof Te){let o=va(i)?i:Zt(i);return o=y1(o,n),(o.shape[1]!==t||o.shape[2]!==t)&&(o=za.resizeBilinear(o,[t,t],!1,!1)),o.as3D(t,t,3)}if(i instanceof Je.getEnv().Canvas)return ho.fromPixels(A1(i,t,n));throw new Error(`toBatchTensor - at batchIdx ${s}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${i}`)});return Ft(a.map(s=>oe(s,"float32"))).as4D(this.batchSize,t,t,3)})}};async function yt(e){if(e instanceof yr)return e;let t=Array.isArray(e)?e:[e];if(!t.length)throw new Error("toNetInput - empty array passed as input");let n=r=>Array.isArray(e)?` at input index ${r}:`:"",a=t.map($o);return a.forEach((r,s)=>{if(!rg(r)&&!Or(r)&&!va(r))throw typeof t[s]=="string"?new Error(`toNetInput -${n(s)} string passed, but could not resolve HTMLElement for element id ${t[s]}`):new Error(`toNetInput -${n(s)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);if(va(r)){let i=r.shape[0];if(i!==1)throw new Error(`toNetInput -${n(s)} tf.Tensor4D with batchSize ${i} passed, but not supported in input array`)}}),await Promise.all(a.map(r=>rg(r)&&C1(r))),new yr(a,Array.isArray(e))}async function lp(e,t){let{Canvas:n}=Je.getEnv(),a=e;if(!(e instanceof n)){let i=await yt(e);if(i.batchSize>1)throw new Error("extractFaces - batchSize > 1 not supported");let o=i.getInput(0);a=o instanceof n?o:await E1(o)}let r=Gn(a);return t.map(i=>i instanceof bt?i.forSize(a.width,a.height).box.floor():i).map(i=>i.clipAtImageBorders(a.width,a.height)).map(({x:i,y:o,width:l,height:u})=>{let p=Do({width:l,height:u});return l>0&&u>0&&Gn(p).putImageData(r.getImageData(i,o,l,u),0,0),p})}async function up(e,t){if(!Or(e)&&!va(e))throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");if(va(e)&&e.shape[0]>1)throw new Error("extractFaceTensors - batchSize > 1 not supported");return P(()=>{let[n,a,r]=e.shape.slice(va(e)?1:0);return t.map(o=>o instanceof bt?o.forSize(a,n).box:o).map(o=>o.clipAtImageBorders(a,n)).filter(o=>o.width>0&&o.height>0).map(({x:o,y:l,width:u,height:p})=>fo(e.as3D(n,a,r),[l,o,0],[p,u,r]))})}async function Wr(e,t){let{fetch:n}=Je.getEnv(),a=await n(e,t);if(!(a.status<400))throw new Error(`failed to fetch: (${a.status}) ${a.statusText}, from url: ${a.url}`);return a}async function Hpe(e){let t=await Wr(e),n=await t.blob();if(!n.type.startsWith("image/"))throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${n.type}, for url: ${t.url}`);return _1(n)}async function $1(e){return(await Wr(e)).json()}async function jpe(e){return new Float32Array(await(await Wr(e)).arrayBuffer())}function GA(e){return new Promise((t,n)=>{e instanceof Blob||n(new Error("bufferToVideo - expected buf to be of type: Blob"));let a=Je.getEnv().createVideoElement();a.oncanplay=()=>t(a),a.onerror=n,a.playsInline=!0,a.muted=!0,a.src=URL.createObjectURL(e),a.play()})}async function qpe(e){let t=await Wr(e),n=await t.blob();if(!n.type.startsWith("video/"))throw new Error(`fetchVideo - expected blob type to be of type video/*, instead have: ${n.type}, for url: ${t.url}`);return GA(n)}function sg(e,t){let n=`${t}-weights_manifest.json`;if(!e)return{modelBaseUri:"",manifestUri:n};if(e==="/")return{modelBaseUri:"/",manifestUri:`/${n}`};let a=e.startsWith("http://")?"http://":e.startsWith("https://")?"https://":"";e=e.replace(a,"");let r=e.split("/").filter(o=>o),s=e.endsWith(".json")?r[r.length-1]:n,i=a+(e.endsWith(".json")?r.slice(0,r.length-1):r).join("/");return i=e.startsWith("/")?`/${i}`:i,{modelBaseUri:i,manifestUri:i==="/"?`/${s}`:`${i}/${s}`}}async function F1(e,t){let{manifestUri:n,modelBaseUri:a}=sg(e,t),r=await $1(n);return Ut.loadWeights(r,a)}function Kpe(e,t,n=!1){let{width:a,height:r}=n?Fo(t):t;return e.width=a,e.height=r,{width:a,height:r}}var sn=class{constructor(t){this._params=void 0;this._paramMappings=[];this._name=t}get params(){return this._params}get paramMappings(){return this._paramMappings}get isLoaded(){return!!this.params}getParamFromPath(t){let{obj:n,objProp:a}=this.traversePropertyPath(t);return n[a]}reassignParamFromPath(t,n){let{obj:a,objProp:r}=this.traversePropertyPath(t);a[r].dispose(),a[r]=n}getParamList(){return this._paramMappings.map(({paramPath:t})=>({path:t,tensor:this.getParamFromPath(t)}))}getTrainableParams(){return this.getParamList().filter(t=>t.tensor instanceof is)}getFrozenParams(){return this.getParamList().filter(t=>!(t.tensor instanceof is))}variable(){this.getFrozenParams().forEach(({path:t,tensor:n})=>{this.reassignParamFromPath(t,n.variable())})}freeze(){this.getTrainableParams().forEach(({path:t,tensor:n})=>{let a=In(n.dataSync());n.dispose(),this.reassignParamFromPath(t,a)})}dispose(t=!0){this.getParamList().forEach(n=>{if(t&&n.tensor.isDisposed)throw new Error(`param tensor has already been disposed for path ${n.path}`);n.tensor.dispose()}),this._params=void 0}serializeParams(){return new Float32Array(this.getParamList().map(({tensor:t})=>Array.from(t.dataSync())).reduce((t,n)=>t.concat(n)))}async load(t){if(t instanceof Float32Array){this.extractWeights(t);return}await this.loadFromUri(t)}async loadFromUri(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromUri - expected model uri`);let n=await F1(t,this.getDefaultModelName());this.loadFromWeightMap(n)}async loadFromDisk(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromDisk - expected model file path`);let{readFile:n}=Je.getEnv(),{manifestUri:a,modelBaseUri:r}=sg(t,this.getDefaultModelName()),s=u=>Promise.all(u.map(p=>n(p).then(d=>d.buffer))),i=Ut.weightsLoaderFactory(s),o=JSON.parse((await n(a)).toString()),l=await i(o,r);this.loadFromWeightMap(l)}loadFromWeightMap(t){let{paramMappings:n,params:a}=this.extractParamsFromWeightMap(t);this._paramMappings=n,this._params=a}extractWeights(t){let{paramMappings:n,params:a}=this.extractParams(t);this._paramMappings=n,this._params=a}traversePropertyPath(t){if(!this.params)throw new Error("traversePropertyPath - model has no loaded params");let n=t.split("/").reduce((s,i)=>{if(!s.nextObj.hasOwnProperty(i))throw new Error(`traversePropertyPath - object does not have property ${i}, for path ${t}`);return{obj:s.nextObj,objProp:i,nextObj:s.nextObj[i]}},{nextObj:this.params}),{obj:a,objProp:r}=n;if(!a||!r||!(a[r]instanceof Te))throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${t}`);return{obj:a,objProp:r}}};function Hn(e,t,n){return P(()=>{let a=Ts(e,t.depthwise_filter,t.pointwise_filter,n,"same");return a=Y(a,t.bias),a})}function ig(e,t,n=!1){return P(()=>{let a=Xe(n?Y($t(e,t.conv0.filters,[2,2],"same"),t.conv0.bias):Hn(e,t.conv0,[2,2])),r=Hn(a,t.conv1,[1,1]),s=Xe(Y(a,r)),i=Hn(s,t.conv2,[1,1]);return Xe(Y(a,Y(r,i)))})}function bd(e,t,n=!1,a=!0){return P(()=>{let r=Xe(n?Y($t(e,t.conv0.filters,a?[2,2]:[1,1],"same"),t.conv0.bias):Hn(e,t.conv0,a?[2,2]:[1,1])),s=Hn(r,t.conv1,[1,1]),i=Xe(Y(r,s)),o=Hn(i,t.conv2,[1,1]),l=Xe(Y(r,Y(s,o))),u=Hn(l,t.conv3,[1,1]);return Xe(Y(r,Y(s,Y(o,u))))})}function Ro(e,t,n="same",a=!1){return P(()=>{let r=Y($t(e,t.filters,[1,1],n),t.bias);return a?Xe(r):r})}function An(e,t){Object.keys(e).forEach(n=>{t.some(a=>a.originalPath===n)||e[n].dispose()})}function pp(e,t){return(n,a,r,s)=>{let i=Da(e(n*a*r*r),[r,r,n,a]),o=Ke(e(a));return t.push({paramPath:`${s}/filters`},{paramPath:`${s}/bias`}),{filters:i,bias:o}}}function og(e,t){return(n,a,r)=>{let s=Aa(e(n*a),[n,a]),i=Ke(e(a));return t.push({paramPath:`${r}/weights`},{paramPath:`${r}/bias`}),{weights:s,bias:i}}}var yd=class{constructor(t,n,a){this.depthwise_filter=t;this.pointwise_filter=n;this.bias=a}};function cp(e,t){return(n,a,r)=>{let s=Da(e(9*n),[3,3,n,1]),i=Da(e(n*a),[1,1,n,a]),o=Ke(e(a));return t.push({paramPath:`${r}/depthwise_filter`},{paramPath:`${r}/pointwise_filter`},{paramPath:`${r}/bias`}),new yd(s,i,o)}}function dp(e){return t=>{let n=e(`${t}/depthwise_filter`,4),a=e(`${t}/pointwise_filter`,4),r=e(`${t}/bias`,1);return new yd(n,a,r)}}function sa(e,t){return(n,a,r)=>{let s=e[n];if(!So(s,a))throw new Error(`expected weightMap[${n}] to be a Tensor${a}D, instead have ${s}`);return t.push({originalPath:n,paramPath:r||n}),s}}function $n(e){let t=e;function n(r){let s=t.slice(0,r);return t=t.slice(r),s}function a(){return t}return{extractWeights:n,getRemainingWeights:a}}function lg(e,t){let n=pp(e,t),a=cp(e,t);function r(i,o,l,u=!1){let p=u?n(i,o,3,`${l}/conv0`):a(i,o,`${l}/conv0`),d=a(o,o,`${l}/conv1`),c=a(o,o,`${l}/conv2`);return{conv0:p,conv1:d,conv2:c}}function s(i,o,l,u=!1){let{conv0:p,conv1:d,conv2:c}=r(i,o,l,u),h=a(o,o,`${l}/conv3`);return{conv0:p,conv1:d,conv2:c,conv3:h}}return{extractDenseBlock3Params:r,extractDenseBlock4Params:s}}function HA(e){let t=[],{extractWeights:n,getRemainingWeights:a}=$n(e),{extractDenseBlock4Params:r}=lg(n,t),s=r(3,32,"dense0",!0),i=r(32,64,"dense1"),o=r(64,128,"dense2"),l=r(128,256,"dense3");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:t,params:{dense0:s,dense1:i,dense2:o,dense3:l}}}function ug(e){return t=>{let n=e(`${t}/filters`,4),a=e(`${t}/bias`,1);return{filters:n,bias:a}}}function pg(e,t){let n=sa(e,t),a=ug(n),r=dp(n);function s(o,l=!1){let u=l?a(`${o}/conv0`):r(`${o}/conv0`),p=r(`${o}/conv1`),d=r(`${o}/conv2`);return{conv0:u,conv1:p,conv2:d}}function i(o,l=!1){let u=l?a(`${o}/conv0`):r(`${o}/conv0`),p=r(`${o}/conv1`),d=r(`${o}/conv2`),c=r(`${o}/conv3`);return{conv0:u,conv1:p,conv2:d,conv3:c}}return{extractDenseBlock3Params:s,extractDenseBlock4Params:i}}function jA(e){let t=[],{extractDenseBlock4Params:n}=pg(e,t),a={dense0:n("dense0",!0),dense1:n("dense1"),dense2:n("dense2"),dense3:n("dense3")};return An(e,t),{params:a,paramMappings:t}}var hp=class extends sn{constructor(){super("FaceFeatureExtractor")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("FaceFeatureExtractor - load model before inference");return P(()=>{let a=oe(t.toBatchTensor(112,!0),"float32"),s=Za(a,[122.782,117.001,104.298]).div(255),i=bd(s,n.dense0,!0);return i=bd(i,n.dense1),i=bd(i,n.dense2),i=bd(i,n.dense3),i=ba(i,[7,7],[2,2],"valid"),i})}async forward(t){return this.forwardInput(await yt(t))}getDefaultModelName(){return"face_feature_extractor_model"}extractParamsFromWeightMap(t){return jA(t)}extractParams(t){return HA(t)}};function xd(e,t){return P(()=>Y(Fe(e,t.weights),t.bias))}function qA(e,t,n){let a=[],{extractWeights:r,getRemainingWeights:s}=$n(e),o=og(r,a)(t,n,"fc");if(s().length!==0)throw new Error(`weights remaing after extract: ${s().length}`);return{paramMappings:a,params:{fc:o}}}function KA(e){let t=[],n=sa(e,t);function a(s){let i=n(`${s}/weights`,2),o=n(`${s}/bias`,1);return{weights:i,bias:o}}let r={fc:a("fc")};return An(e,t),{params:r,paramMappings:t}}function cg(e){let t={},n={};return Object.keys(e).forEach(a=>{let r=a.startsWith("fc")?n:t;r[a]=e[a]}),{featureExtractorMap:t,classifierMap:n}}var mp=class extends sn{constructor(n,a){super(n);this._faceFeatureExtractor=a}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(n){let{params:a}=this;if(!a)throw new Error(`${this._name} - load model before inference`);return P(()=>{let r=n instanceof yr?this.faceFeatureExtractor.forwardInput(n):n;return xd(r.as2D(r.shape[0],-1),a.fc)})}dispose(n=!0){this.faceFeatureExtractor.dispose(n),super.dispose(n)}loadClassifierParams(n){let{params:a,paramMappings:r}=this.extractClassifierParams(n);this._params=a,this._paramMappings=r}extractClassifierParams(n){return qA(n,this.getClassifierChannelsIn(),this.getClassifierChannelsOut())}extractParamsFromWeightMap(n){let{featureExtractorMap:a,classifierMap:r}=cg(n);return this.faceFeatureExtractor.loadFromWeightMap(a),KA(r)}extractParams(n){let a=this.getClassifierChannelsIn(),r=this.getClassifierChannelsOut(),s=r*a+r,i=n.slice(0,n.length-s),o=n.slice(n.length-s);return this.faceFeatureExtractor.extractWeights(i),this.extractClassifierParams(o)}};var D1=["neutral","happy","sad","angry","fearful","disgusted","surprised"],Br=class{constructor(t){this.neutral=0;this.happy=0;this.sad=0;this.angry=0;this.fearful=0;this.disgusted=0;this.surprised=0;if(t.length!==7)throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${t.length}`);D1.forEach((n,a)=>{this[n]=t[a]})}asSortedArray(){return D1.map(t=>({expression:t,probability:this[t]})).sort((t,n)=>n.probability-t.probability)}};var vd=class extends mp{constructor(t=new hp){super("FaceExpressionNet",t)}forwardInput(t){return P(()=>Ka(this.runNet(t)))}async forward(t){return this.forwardInput(await yt(t))}async predictExpressions(t){let n=await yt(t),a=await this.forwardInput(n),r=await Promise.all(ct(a).map(async i=>{let o=i.dataSync();return i.dispose(),o}));a.dispose();let s=r.map(i=>new Br(i));return n.isBatchInput?s:s[0]}getDefaultModelName(){return"face_expression_model"}getClassifierChannelsIn(){return 256}getClassifierChannelsOut(){return 7}};function R1(e){return e.expressions instanceof Br}function dg(e,t){return{...e,...{expressions:t}}}function Xpe(e,t,n=.1,a){(Array.isArray(t)?t:[t]).forEach(s=>{let i=s instanceof Br?s:R1(s)?s.expressions:void 0;if(!i)throw new Error("drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof");let l=i.asSortedArray().filter(d=>d.probability>n),u=br(s)?s.detection.box.bottomLeft:a||new De(0,0);new zr(l.map(d=>`${d.expression} (${To(d.probability)})`),u).draw(e)})}function Mo(e){return br(e)&&e.landmarks instanceof ra&&e.unshiftedLandmarks instanceof ra&&e.alignedRect instanceof bt}function Ype(e){let t=(o,l,u,p)=>Math.atan2(p-l,u-o)%Math.PI,n=o=>o*180/Math.PI,a={roll:void 0,pitch:void 0,yaw:void 0};if(!e||!e._positions||e._positions.length!==68)return a;let r=e._positions;a.roll=-t(r[36]._x,r[36]._y,r[45]._x,r[45]._y),a.pitch=t(0,Math.abs(r[0]._x-r[30]._x)/r[30]._x,Math.PI,Math.abs(r[16]._x-r[30]._x)/r[30]._x);let s=r.reduce((o,l)=>oo>l._y?o:l._y,-1/0);return a.yaw=Math.PI*(e._imgDims._height/(i-s)/1.4-1),a}function fp(e,t){let{box:n}=e.detection,a=t.shiftBy(n.x,n.y),r=a.align(),{imageDims:s}=e.detection,i=new bt(e.detection.score,r.rescale(s.reverse()),s),o=Ype(t);return{...e,...{landmarks:a,unshiftedLandmarks:t,alignedRect:i,angle:o}}}var hg=class{constructor(t={}){let{drawLines:n=!0,drawPoints:a=!0,lineWidth:r,lineColor:s,pointSize:i,pointColor:o}=t;this.drawLines=n,this.drawPoints=a,this.lineWidth=r||1,this.pointSize=i||2,this.lineColor=s||"rgba(0, 255, 255, 1)",this.pointColor=o||"rgba(255, 0, 255, 1)"}},mg=class{constructor(t,n={}){this.faceLandmarks=t,this.options=new hg(n)}draw(t){let n=Gn(t),{drawLines:a,drawPoints:r,lineWidth:s,lineColor:i,pointSize:o,pointColor:l}=this.options;if(a&&this.faceLandmarks instanceof Eo&&(n.strokeStyle=i,n.lineWidth=s,Pr(n,this.faceLandmarks.getJawOutline()),Pr(n,this.faceLandmarks.getLeftEyeBrow()),Pr(n,this.faceLandmarks.getRightEyeBrow()),Pr(n,this.faceLandmarks.getNose()),Pr(n,this.faceLandmarks.getLeftEye(),!0),Pr(n,this.faceLandmarks.getRightEye(),!0),Pr(n,this.faceLandmarks.getMouth(),!0)),r){n.strokeStyle=l,n.fillStyle=l;let u=p=>{n.beginPath(),n.arc(p.x,p.y,o,0,2*Math.PI),n.fill()};this.faceLandmarks.positions.forEach(u)}}};function Zpe(e,t){(Array.isArray(t)?t:[t]).forEach(a=>{let r=a instanceof ra?a:Mo(a)?a.landmarks:void 0;if(!r)throw new Error("drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks> or array thereof");new mg(r).draw(e)})}var XA="1.7.5";function ece(e,t){let n=pp(e,t),a=cp(e,t);function r(i,o,l){let u=a(i,o,`${l}/separable_conv0`),p=a(o,o,`${l}/separable_conv1`),d=n(i,o,1,`${l}/expansion_conv`);return{separable_conv0:u,separable_conv1:p,expansion_conv:d}}function s(i,o){let l=a(i,i,`${o}/separable_conv0`),u=a(i,i,`${o}/separable_conv1`),p=a(i,i,`${o}/separable_conv2`);return{separable_conv0:l,separable_conv1:u,separable_conv2:p}}return{extractConvParams:n,extractSeparableConvParams:a,extractReductionBlockParams:r,extractMainBlockParams:s}}function YA(e,t){let n=[],{extractWeights:a,getRemainingWeights:r}=$n(e),{extractConvParams:s,extractSeparableConvParams:i,extractReductionBlockParams:o,extractMainBlockParams:l}=ece(a,n),u=s(3,32,3,"entry_flow/conv_in"),p=o(32,64,"entry_flow/reduction_block_0"),d=o(64,128,"entry_flow/reduction_block_1"),c={conv_in:u,reduction_block_0:p,reduction_block_1:d},h={};fr(t,0,1).forEach(b=>{h[`main_block_${b}`]=l(128,`middle_flow/main_block_${b}`)});let m=o(128,256,"exit_flow/reduction_block"),f=i(256,512,"exit_flow/separable_conv"),g={reduction_block:m,separable_conv:f};if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:n,params:{entry_flow:c,middle_flow:h,exit_flow:g}}}function tce(e,t){let n=sa(e,t),a=ug(n),r=dp(n);function s(o){let l=r(`${o}/separable_conv0`),u=r(`${o}/separable_conv1`),p=a(`${o}/expansion_conv`);return{separable_conv0:l,separable_conv1:u,expansion_conv:p}}function i(o){let l=r(`${o}/separable_conv0`),u=r(`${o}/separable_conv1`),p=r(`${o}/separable_conv2`);return{separable_conv0:l,separable_conv1:u,separable_conv2:p}}return{extractConvParams:a,extractSeparableConvParams:r,extractReductionBlockParams:s,extractMainBlockParams:i}}function ZA(e,t){let n=[],{extractConvParams:a,extractSeparableConvParams:r,extractReductionBlockParams:s,extractMainBlockParams:i}=tce(e,n),o=a("entry_flow/conv_in"),l=s("entry_flow/reduction_block_0"),u=s("entry_flow/reduction_block_1"),p={conv_in:o,reduction_block_0:l,reduction_block_1:u},d={};fr(t,0,1).forEach(f=>{d[`main_block_${f}`]=i(`middle_flow/main_block_${f}`)});let c=s("exit_flow/reduction_block"),h=r("exit_flow/separable_conv"),m={reduction_block:c,separable_conv:h};return An(e,n),{params:{entry_flow:p,middle_flow:d,exit_flow:m},paramMappings:n}}function JA(e,t,n){return Y($t(e,t.filters,n,"same"),t.bias)}function P1(e,t,n=!0){let a=n?Xe(e):e;return a=Hn(a,t.separable_conv0,[1,1]),a=Hn(Xe(a),t.separable_conv1,[1,1]),a=Dt(a,[3,3],[2,2],"same"),a=Y(a,JA(e,t.expansion_conv,[2,2])),a}function nce(e,t){let n=Hn(Xe(e),t.separable_conv0,[1,1]);return n=Hn(Xe(n),t.separable_conv1,[1,1]),n=Hn(Xe(n),t.separable_conv2,[1,1]),n=Y(n,e),n}var fg=class extends sn{constructor(n){super("TinyXception");this._numMainBlocks=n}forwardInput(n){let{params:a}=this;if(!a)throw new Error("TinyXception - load model before inference");return P(()=>{let r=oe(n.toBatchTensor(112,!0),"float32"),i=Za(r,[122.782,117.001,104.298]).div(255),o=Xe(JA(i,a.entry_flow.conv_in,[2,2]));return o=P1(o,a.entry_flow.reduction_block_0,!1),o=P1(o,a.entry_flow.reduction_block_1),fr(this._numMainBlocks,0,1).forEach(l=>{o=nce(o,a.middle_flow[`main_block_${l}`])}),o=P1(o,a.exit_flow.reduction_block),o=Xe(Hn(o,a.exit_flow.separable_conv,[1,1])),o})}async forward(n){return this.forwardInput(await yt(n))}getDefaultModelName(){return"tiny_xception_model"}extractParamsFromWeightMap(n){return ZA(n,this._numMainBlocks)}extractParams(n){return YA(n,this._numMainBlocks)}};function QA(e){let t=[],{extractWeights:n,getRemainingWeights:a}=$n(e),r=og(n,t),s=r(512,1,"fc/age"),i=r(512,2,"fc/gender");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:t,params:{fc:{age:s,gender:i}}}}function e$(e){let t=[],n=sa(e,t);function a(s){let i=n(`${s}/weights`,2),o=n(`${s}/bias`,1);return{weights:i,bias:o}}let r={fc:{age:a("fc/age"),gender:a("fc/gender")}};return An(e,t),{params:r,paramMappings:t}}var gg=(n=>(n.FEMALE="female",n.MALE="male",n))(gg||{});var wd=class extends sn{constructor(n=new fg(2)){super("AgeGenderNet");this._faceFeatureExtractor=n}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(n){let{params:a}=this;if(!a)throw new Error(`${this._name} - load model before inference`);return P(()=>{let r=n instanceof yr?this.faceFeatureExtractor.forwardInput(n):n,s=ba(r,[7,7],[2,2],"valid").as2D(r.shape[0],-1),i=xd(s,a.fc.age).as1D(),o=xd(s,a.fc.gender);return{age:i,gender:o}})}forwardInput(n){return P(()=>{let{age:a,gender:r}=this.runNet(n);return{age:a,gender:Ka(r)}})}async forward(n){return this.forwardInput(await yt(n))}async predictAgeAndGender(n){let a=await yt(n),r=await this.forwardInput(a),s=ct(r.age),i=ct(r.gender),o=s.map((u,p)=>({ageTensor:u,genderTensor:i[p]})),l=await Promise.all(o.map(async({ageTensor:u,genderTensor:p})=>{let d=u.dataSync()[0],c=p.dataSync()[0],h=c>.5,m=h?"male":"female",f=h?c:1-c;return u.dispose(),p.dispose(),{age:d,gender:m,genderProbability:f}}));return r.age.dispose(),r.gender.dispose(),a.isBatchInput?l:l[0]}getDefaultModelName(){return"age_gender_model"}dispose(n=!0){this.faceFeatureExtractor.dispose(n),super.dispose(n)}loadClassifierParams(n){let{params:a,paramMappings:r}=this.extractClassifierParams(n);this._params=a,this._paramMappings=r}extractClassifierParams(n){return QA(n)}extractParamsFromWeightMap(n){let{featureExtractorMap:a,classifierMap:r}=cg(n);return this.faceFeatureExtractor.loadFromWeightMap(a),e$(r)}extractParams(n){let r=n.slice(0,n.length-1539),s=n.slice(n.length-1539);return this.faceFeatureExtractor.extractWeights(r),this.extractClassifierParams(s)}};var gp=class extends mp{postProcess(t,n,a){let r=a.map(({width:i,height:o})=>{let l=n/Math.max(o,i);return{width:i*l,height:o*l}}),s=r.length;return P(()=>{let i=(d,c)=>Ft([gn([68],d,"float32"),gn([68],c,"float32")],1).as2D(1,136).as1D(),o=(d,c)=>{let{width:h,height:m}=r[d];return c(h,m)?Math.abs(h-m)/2:0},l=d=>o(d,(c,h)=>co(d,(c,h)=>hi(l(c),u(c))))).div(Ft(Array.from(Array(s),(d,c)=>i(r[c].width,r[c].height))))})}forwardInput(t){return P(()=>{let n=this.runNet(t);return this.postProcess(n,t.inputSize,t.inputDimensions.map(([a,r])=>({height:a,width:r})))})}async forward(t){return this.forwardInput(await yt(t))}async detectLandmarks(t){let n=await yt(t),a=P(()=>ct(this.forwardInput(n))),r=await Promise.all(a.map(async(s,i)=>{let o=Array.from(s.dataSync()),l=o.filter((p,d)=>eg(d)),u=o.filter((p,d)=>!eg(d));return new Eo(Array(68).fill(0).map((p,d)=>new De(l[d],u[d])),{height:n.getInputHeight(i),width:n.getInputWidth(i)})}));return a.forEach(s=>s.dispose()),n.isBatchInput?r:r[0]}getClassifierChannelsOut(){return 136}};var Po=class extends gp{constructor(t=new hp){super("FaceLandmark68Net",t)}getDefaultModelName(){return"face_landmark_68_model"}getClassifierChannelsIn(){return 256}};function t$(e){let t=[],{extractDenseBlock3Params:n}=pg(e,t),a={dense0:n("dense0",!0),dense1:n("dense1"),dense2:n("dense2")};return An(e,t),{params:a,paramMappings:t}}function n$(e){let t=[],{extractWeights:n,getRemainingWeights:a}=$n(e),{extractDenseBlock3Params:r}=lg(n,t),s=r(3,32,"dense0",!0),i=r(32,64,"dense1"),o=r(64,128,"dense2");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:t,params:{dense0:s,dense1:i,dense2:o}}}var bg=class extends sn{constructor(){super("TinyFaceFeatureExtractor")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("TinyFaceFeatureExtractor - load model before inference");return P(()=>{let a=oe(t.toBatchTensor(112,!0),"float32"),s=Za(a,[122.782,117.001,104.298]).div(255),i=ig(s,n.dense0,!0);return i=ig(i,n.dense1),i=ig(i,n.dense2),i=ba(i,[14,14],[2,2],"valid"),i})}async forward(t){return this.forwardInput(await yt(t))}getDefaultModelName(){return"face_feature_extractor_tiny_model"}extractParamsFromWeightMap(t){return t$(t)}extractParams(t){return n$(t)}};var kd=class extends gp{constructor(t=new bg){super("FaceLandmark68TinyNet",t)}getDefaultModelName(){return"face_landmark_68_tiny_model"}getClassifierChannelsIn(){return 128}};var O1=class extends Po{};function a$(e,t){return Y(z(e,t.weights),t.biases)}function L1(e,t,n,a,r="same"){let{filters:s,bias:i}=t.conv,o=$t(e,s,n,r);return o=Y(o,i),o=a$(o,t.scale),a?Xe(o):o}function r$(e,t){return L1(e,t,[1,1],!0)}function z1(e,t){return L1(e,t,[1,1],!1)}function yg(e,t){return L1(e,t,[2,2],!0,"valid")}function ace(e,t){function n(o,l,u){let p=e(o),d=p.length/(l*u*u);if(d1(d))throw new Error(`depth has to be an integer: ${d}, weights.length: ${p.length}, numFilters: ${l}, filterSize: ${u}`);return P(()=>Ee(Da(p,[l,d,u,u]),[2,3,1,0]))}function a(o,l,u,p){let d=n(o,l,u),c=Ke(e(l));return t.push({paramPath:`${p}/filters`},{paramPath:`${p}/bias`}),{filters:d,bias:c}}function r(o,l){let u=Ke(e(o)),p=Ke(e(o));return t.push({paramPath:`${l}/weights`},{paramPath:`${l}/biases`}),{weights:u,biases:p}}function s(o,l,u,p){let d=a(o,l,u,`${p}/conv`),c=r(l,`${p}/scale`);return{conv:d,scale:c}}function i(o,l,u,p,d=!1){let c=s((d?.5:1)*o,l,u,`${p}/conv1`),h=s(o,l,u,`${p}/conv2`);return{conv1:c,conv2:h}}return{extractConvLayerParams:s,extractResidualLayerParams:i}}function s$(e){let{extractWeights:t,getRemainingWeights:n}=$n(e),a=[],{extractConvLayerParams:r,extractResidualLayerParams:s}=ace(t,a),i=r(4704,32,7,"conv32_down"),o=s(9216,32,3,"conv32_1"),l=s(9216,32,3,"conv32_2"),u=s(9216,32,3,"conv32_3"),p=s(36864,64,3,"conv64_down",!0),d=s(36864,64,3,"conv64_1"),c=s(36864,64,3,"conv64_2"),h=s(36864,64,3,"conv64_3"),m=s(147456,128,3,"conv128_down",!0),f=s(147456,128,3,"conv128_1"),g=s(147456,128,3,"conv128_2"),b=s(589824,256,3,"conv256_down",!0),y=s(589824,256,3,"conv256_1"),x=s(589824,256,3,"conv256_2"),w=s(589824,256,3,"conv256_down_out"),I=P(()=>Ee(Aa(t(256*128),[128,256]),[1,0]));if(a.push({paramPath:"fc"}),n().length!==0)throw new Error(`weights remaing after extract: ${n().length}`);return{params:{conv32_down:i,conv32_1:o,conv32_2:l,conv32_3:u,conv64_down:p,conv64_1:d,conv64_2:c,conv64_3:h,conv128_down:m,conv128_1:f,conv128_2:g,conv256_down:b,conv256_1:y,conv256_2:x,conv256_down_out:w,fc:I},paramMappings:a}}function rce(e,t){let n=sa(e,t);function a(i){let o=n(`${i}/scale/weights`,1),l=n(`${i}/scale/biases`,1);return{weights:o,biases:l}}function r(i){let o=n(`${i}/conv/filters`,4),l=n(`${i}/conv/bias`,1),u=a(i);return{conv:{filters:o,bias:l},scale:u}}function s(i){return{conv1:r(`${i}/conv1`),conv2:r(`${i}/conv2`)}}return{extractConvLayerParams:r,extractResidualLayerParams:s}}function i$(e){let t=[],{extractConvLayerParams:n,extractResidualLayerParams:a}=rce(e,t),r=n("conv32_down"),s=a("conv32_1"),i=a("conv32_2"),o=a("conv32_3"),l=a("conv64_down"),u=a("conv64_1"),p=a("conv64_2"),d=a("conv64_3"),c=a("conv128_down"),h=a("conv128_1"),m=a("conv128_2"),f=a("conv256_down"),g=a("conv256_1"),b=a("conv256_2"),y=a("conv256_down_out"),{fc:x}=e;if(t.push({originalPath:"fc",paramPath:"fc"}),!c1(x))throw new Error(`expected weightMap[fc] to be a Tensor2D, instead have ${x}`);let w={conv32_down:r,conv32_1:s,conv32_2:i,conv32_3:o,conv64_down:l,conv64_1:u,conv64_2:p,conv64_3:d,conv128_down:c,conv128_1:h,conv128_2:m,conv256_down:f,conv256_1:g,conv256_2:b,conv256_down_out:y,fc:x};return An(e,t),{params:w,paramMappings:t}}function Ja(e,t){let n=r$(e,t.conv1);return n=z1(n,t.conv2),n=Y(n,e),n=Xe(n),n}function Id(e,t){let n=yg(e,t.conv1);n=z1(n,t.conv2);let a=ba(e,2,2,"valid"),r=It(a.shape),s=a.shape[3]!==n.shape[3];if(a.shape[1]!==n.shape[1]||a.shape[2]!==n.shape[2]){let o=[...n.shape];o[1]=1;let l=It(o);n=Ze([n,l],1);let u=[...n.shape];u[2]=1;let p=It(u);n=Ze([n,p],2)}return a=s?Ze([a,r],3):a,n=Y(a,n),n=Xe(n),n}var Oo=class extends sn{constructor(){super("FaceRecognitionNet")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("FaceRecognitionNet - load model before inference");return P(()=>{let a=oe(t.toBatchTensor(150,!0),"float32"),s=Za(a,[122.782,117.001,104.298]).div(255),i=yg(s,n.conv32_down);i=Dt(i,3,2,"valid"),i=Ja(i,n.conv32_1),i=Ja(i,n.conv32_2),i=Ja(i,n.conv32_3),i=Id(i,n.conv64_down),i=Ja(i,n.conv64_1),i=Ja(i,n.conv64_2),i=Ja(i,n.conv64_3),i=Id(i,n.conv128_down),i=Ja(i,n.conv128_1),i=Ja(i,n.conv128_2),i=Id(i,n.conv256_down),i=Ja(i,n.conv256_1),i=Ja(i,n.conv256_2),i=Id(i,n.conv256_down_out);let o=i.mean([1,2]);return Fe(o,n.fc)})}async forward(t){return this.forwardInput(await yt(t))}async computeFaceDescriptor(t){var s;if((s=t==null?void 0:t.shape)!=null&&s.some(i=>i<=0))return new Float32Array(128);let n=await yt(t),a=P(()=>ct(this.forwardInput(n))),r=await Promise.all(a.map(i=>i.data()));return a.forEach(i=>i.dispose()),n.isBatchInput?r:r[0]}getDefaultModelName(){return"face_recognition_model"}extractParamsFromWeightMap(t){return i$(t)}extractParams(t){return s$(t)}};function sce(e){let t=new Oo;return t.extractWeights(e),t}function xg(e,t){return{...e,...{descriptor:t}}}function ice(e){return typeof e.age=="number"}function vg(e,t){return{...e,...{age:t}}}function oce(e){return(e.gender==="male"||e.gender==="female")&&rp(e.genderProbability)}function wg(e,t,n){return{...e,...{gender:t,genderProbability:n}}}function lce(e,t){function n(l,u){let p=Da(e(9*l),[3,3,l,1]),d=Ke(e(l)),c=Ke(e(l)),h=Ke(e(l)),m=Ke(e(l));return t.push({paramPath:`${u}/filters`},{paramPath:`${u}/batch_norm_scale`},{paramPath:`${u}/batch_norm_offset`},{paramPath:`${u}/batch_norm_mean`},{paramPath:`${u}/batch_norm_variance`}),{filters:p,batch_norm_scale:d,batch_norm_offset:c,batch_norm_mean:h,batch_norm_variance:m}}function a(l,u,p,d,c){let h=Da(e(l*u*p*p),[p,p,l,u]),m=Ke(e(u));return t.push({paramPath:`${d}/filters`},{paramPath:`${d}/${c?"batch_norm_offset":"bias"}`}),{filters:h,bias:m}}function r(l,u,p,d){let{filters:c,bias:h}=a(l,u,p,d,!0);return{filters:c,batch_norm_offset:h}}function s(l,u,p){let d=n(l,`${p}/depthwise_conv`),c=r(l,u,1,`${p}/pointwise_conv`);return{depthwise_conv:d,pointwise_conv:c}}function i(){let l=r(3,32,3,"mobilenetv1/conv_0"),u=s(32,64,"mobilenetv1/conv_1"),p=s(64,128,"mobilenetv1/conv_2"),d=s(128,128,"mobilenetv1/conv_3"),c=s(128,256,"mobilenetv1/conv_4"),h=s(256,256,"mobilenetv1/conv_5"),m=s(256,512,"mobilenetv1/conv_6"),f=s(512,512,"mobilenetv1/conv_7"),g=s(512,512,"mobilenetv1/conv_8"),b=s(512,512,"mobilenetv1/conv_9"),y=s(512,512,"mobilenetv1/conv_10"),x=s(512,512,"mobilenetv1/conv_11"),w=s(512,1024,"mobilenetv1/conv_12"),I=s(1024,1024,"mobilenetv1/conv_13");return{conv_0:l,conv_1:u,conv_2:p,conv_3:d,conv_4:c,conv_5:h,conv_6:m,conv_7:f,conv_8:g,conv_9:b,conv_10:y,conv_11:x,conv_12:w,conv_13:I}}function o(){let l=r(1024,256,1,"prediction_layer/conv_0"),u=r(256,512,3,"prediction_layer/conv_1"),p=r(512,128,1,"prediction_layer/conv_2"),d=r(128,256,3,"prediction_layer/conv_3"),c=r(256,128,1,"prediction_layer/conv_4"),h=r(128,256,3,"prediction_layer/conv_5"),m=r(256,64,1,"prediction_layer/conv_6"),f=r(64,128,3,"prediction_layer/conv_7"),g=a(512,12,1,"prediction_layer/box_predictor_0/box_encoding_predictor"),b=a(512,9,1,"prediction_layer/box_predictor_0/class_predictor"),y=a(1024,24,1,"prediction_layer/box_predictor_1/box_encoding_predictor"),x=a(1024,18,1,"prediction_layer/box_predictor_1/class_predictor"),w=a(512,24,1,"prediction_layer/box_predictor_2/box_encoding_predictor"),I=a(512,18,1,"prediction_layer/box_predictor_2/class_predictor"),T=a(256,24,1,"prediction_layer/box_predictor_3/box_encoding_predictor"),C=a(256,18,1,"prediction_layer/box_predictor_3/class_predictor"),E=a(256,24,1,"prediction_layer/box_predictor_4/box_encoding_predictor"),A=a(256,18,1,"prediction_layer/box_predictor_4/class_predictor"),R=a(128,24,1,"prediction_layer/box_predictor_5/box_encoding_predictor"),F=a(128,18,1,"prediction_layer/box_predictor_5/class_predictor");return{conv_0:l,conv_1:u,conv_2:p,conv_3:d,conv_4:c,conv_5:h,conv_6:m,conv_7:f,box_predictor_0:{box_encoding_predictor:g,class_predictor:b},box_predictor_1:{box_encoding_predictor:y,class_predictor:x},box_predictor_2:{box_encoding_predictor:w,class_predictor:I},box_predictor_3:{box_encoding_predictor:T,class_predictor:C},box_predictor_4:{box_encoding_predictor:E,class_predictor:A},box_predictor_5:{box_encoding_predictor:R,class_predictor:F}}}return{extractMobilenetV1Params:i,extractPredictionLayerParams:o}}function o$(e){let t=[],{extractWeights:n,getRemainingWeights:a}=$n(e),{extractMobilenetV1Params:r,extractPredictionLayerParams:s}=lce(n,t),i=r(),o=s(),u={extra_dim:Rc(n(5118*4),[1,5118,4])};if(t.push({paramPath:"output_layer/extra_dim"}),a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{params:{mobilenetv1:i,prediction_layer:o,output_layer:u},paramMappings:t}}function uce(e,t){let n=sa(e,t);function a(u,p,d){let c=n(`${u}/Conv2d_${p}_pointwise/weights`,4,`${d}/filters`),h=n(`${u}/Conv2d_${p}_pointwise/convolution_bn_offset`,1,`${d}/batch_norm_offset`);return{filters:c,batch_norm_offset:h}}function r(u){let p=`mobilenetv1/conv_${u}`,d=`MobilenetV1/Conv2d_${u}_depthwise`,c=`${p}/depthwise_conv`,h=`${p}/pointwise_conv`,m=n(`${d}/depthwise_weights`,4,`${c}/filters`),f=n(`${d}/BatchNorm/gamma`,1,`${c}/batch_norm_scale`),g=n(`${d}/BatchNorm/beta`,1,`${c}/batch_norm_offset`),b=n(`${d}/BatchNorm/moving_mean`,1,`${c}/batch_norm_mean`),y=n(`${d}/BatchNorm/moving_variance`,1,`${c}/batch_norm_variance`);return{depthwise_conv:{filters:m,batch_norm_scale:f,batch_norm_offset:g,batch_norm_mean:b,batch_norm_variance:y},pointwise_conv:a("MobilenetV1",u,h)}}function s(){return{conv_0:a("MobilenetV1",0,"mobilenetv1/conv_0"),conv_1:r(1),conv_2:r(2),conv_3:r(3),conv_4:r(4),conv_5:r(5),conv_6:r(6),conv_7:r(7),conv_8:r(8),conv_9:r(9),conv_10:r(10),conv_11:r(11),conv_12:r(12),conv_13:r(13)}}function i(u,p){let d=n(`${u}/weights`,4,`${p}/filters`),c=n(`${u}/biases`,1,`${p}/bias`);return{filters:d,bias:c}}function o(u){let p=i(`Prediction/BoxPredictor_${u}/BoxEncodingPredictor`,`prediction_layer/box_predictor_${u}/box_encoding_predictor`),d=i(`Prediction/BoxPredictor_${u}/ClassPredictor`,`prediction_layer/box_predictor_${u}/class_predictor`);return{box_encoding_predictor:p,class_predictor:d}}function l(){return{conv_0:a("Prediction",0,"prediction_layer/conv_0"),conv_1:a("Prediction",1,"prediction_layer/conv_1"),conv_2:a("Prediction",2,"prediction_layer/conv_2"),conv_3:a("Prediction",3,"prediction_layer/conv_3"),conv_4:a("Prediction",4,"prediction_layer/conv_4"),conv_5:a("Prediction",5,"prediction_layer/conv_5"),conv_6:a("Prediction",6,"prediction_layer/conv_6"),conv_7:a("Prediction",7,"prediction_layer/conv_7"),box_predictor_0:o(0),box_predictor_1:o(1),box_predictor_2:o(2),box_predictor_3:o(3),box_predictor_4:o(4),box_predictor_5:o(5)}}return{extractMobilenetV1Params:s,extractPredictionLayerParams:l}}function l$(e){let t=[],{extractMobilenetV1Params:n,extractPredictionLayerParams:a}=uce(e,t),r=e["Output/extra_dim"];if(t.push({originalPath:"Output/extra_dim",paramPath:"output_layer/extra_dim"}),!Or(r))throw new Error(`expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have ${r}`);let s={mobilenetv1:n(),prediction_layer:a(),output_layer:{extra_dim:r}};return An(e,t),{params:s,paramMappings:t}}function Pa(e,t,n){return P(()=>{let a=$t(e,t.filters,n,"same");return a=Y(a,t.batch_norm_offset),en(a,0,6)})}var pce=.0010000000474974513;function cce(e,t,n){return P(()=>{let a=Is(e,t.filters,n,"same");return a=ks(a,t.batch_norm_mean,t.batch_norm_variance,t.batch_norm_offset,t.batch_norm_scale,pce),en(a,0,6)})}function dce(e){return[2,4,6,12].some(t=>t===e)?[2,2]:[1,1]}function u$(e,t){return P(()=>{let n,a=Pa(e,t.conv_0,[2,2]);if([t.conv_1,t.conv_2,t.conv_3,t.conv_4,t.conv_5,t.conv_6,t.conv_7,t.conv_8,t.conv_9,t.conv_10,t.conv_11,t.conv_12,t.conv_13].forEach((s,i)=>{let o=i+1,l=dce(o);a=cce(a,s.depthwise_conv,l),a=Pa(a,s.pointwise_conv,[1,1]),o===11&&(n=a)}),n===null)throw new Error("mobileNetV1 - output of conv layer 11 is null");return{out:a,conv11:n}})}function hce(e,t,n){let a=e.arraySync(),r=Math.min(a[t][0],a[t][2]),s=Math.min(a[t][1],a[t][3]),i=Math.max(a[t][0],a[t][2]),o=Math.max(a[t][1],a[t][3]),l=Math.min(a[n][0],a[n][2]),u=Math.min(a[n][1],a[n][3]),p=Math.max(a[n][0],a[n][2]),d=Math.max(a[n][1],a[n][3]),c=(i-r)*(o-s),h=(p-l)*(d-u);if(c<=0||h<=0)return 0;let m=Math.max(r,l),f=Math.max(s,u),g=Math.min(i,p),b=Math.min(o,d),y=Math.max(g-m,0)*Math.max(b-f,0);return y/(c+h-y)}function p$(e,t,n,a,r){let s=e.shape[0],i=Math.min(n,s),o=t.map((p,d)=>({score:p,boxIndex:d})).filter(p=>p.score>r).sort((p,d)=>d.score-p.score),l=p=>p<=a?1:0,u=[];return o.forEach(p=>{if(u.length>=i)return;let d=p.score;for(let c=u.length-1;c>=0;--c){let h=hce(e,p.boxIndex,u[c]);if(h!==0&&(p.score*=l(h),p.score<=r))break}d===p.score&&u.push(p.boxIndex)}),u}function mce(e){let t=ct(Ee(e,[1,0])),n=[pe(t[2],t[0]),pe(t[3],t[1])],a=[Y(t[0],he(n[0],2)),Y(t[1],he(n[1],2))];return{sizes:n,centers:a}}function fce(e,t){let{sizes:n,centers:a}=mce(e),r=ct(Ee(t,[1,0])),s=he(z(fn(he(r[2],5)),n[0]),2),i=Y(z(he(r[0],10),n[0]),a[0]),o=he(z(fn(he(r[3],5)),n[1]),2),l=Y(z(he(r[1],10),n[1]),a[1]);return Ee(Ft([pe(i,s),pe(l,o),Y(i,s),Y(l,o)]),[1,0])}function c$(e,t,n){return P(()=>{let a=e.shape[0],r=fce(W(Ln(n.extra_dim,[a,1,1]),[-1,4]),W(e,[-1,4]));r=W(r,[a,r.shape[0]/a,4]);let s=ha(Be(t,[0,0,1],[-1,-1,-1])),i=Be(s,[0,0,0],[-1,-1,1]);i=W(i,[a,i.shape[1]]);let o=ct(r),l=ct(i);return{boxes:o,scores:l}})}function Lo(e,t){return P(()=>{let n=e.shape[0],a=W(Ro(e,t.box_encoding_predictor),[n,-1,1,4]),r=W(Ro(e,t.class_predictor),[n,-1,3]);return{boxPredictionEncoding:a,classPrediction:r}})}function d$(e,t,n){return P(()=>{let a=Pa(e,n.conv_0,[1,1]),r=Pa(a,n.conv_1,[2,2]),s=Pa(r,n.conv_2,[1,1]),i=Pa(s,n.conv_3,[2,2]),o=Pa(i,n.conv_4,[1,1]),l=Pa(o,n.conv_5,[2,2]),u=Pa(l,n.conv_6,[1,1]),p=Pa(u,n.conv_7,[2,2]),d=Lo(t,n.box_predictor_0),c=Lo(e,n.box_predictor_1),h=Lo(r,n.box_predictor_2),m=Lo(i,n.box_predictor_3),f=Lo(l,n.box_predictor_4),g=Lo(p,n.box_predictor_5),b=Ze([d.boxPredictionEncoding,c.boxPredictionEncoding,h.boxPredictionEncoding,m.boxPredictionEncoding,f.boxPredictionEncoding,g.boxPredictionEncoding],1),y=Ze([d.classPrediction,c.classPrediction,h.classPrediction,m.classPrediction,f.classPrediction,g.classPrediction],1);return{boxPredictions:b,classPredictions:y}})}var wa=class{constructor({minConfidence:t,maxResults:n}={}){this._name="SsdMobilenetv1Options";if(this._minConfidence=t||.5,this._maxResults=n||100,typeof this._minConfidence!="number"||this._minConfidence<=0||this._minConfidence>=1)throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);if(typeof this._maxResults!="number")throw new Error(`${this._name} - expected maxResults to be a number`)}get minConfidence(){return this._minConfidence}get maxResults(){return this._maxResults}};var As=class extends sn{constructor(){super("SsdMobilenetv1")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("SsdMobilenetv1 - load model before inference");return P(()=>{let a=oe(t.toBatchTensor(512,!1),"float32"),r=pe(he(a,127.5),1),s=u$(r,n.mobilenetv1),{boxPredictions:i,classPredictions:o}=d$(s.out,s.conv11,n.prediction_layer);return c$(i,o,n.output_layer)})}async forward(t){return this.forwardInput(await yt(t))}async locateFaces(t,n={}){let{maxResults:a,minConfidence:r}=new wa(n),s=await yt(t),{boxes:i,scores:o}=this.forwardInput(s),l=i[0],u=o[0];for(let x=1;x{let[w,I]=[Math.max(0,b[x][0]),Math.min(1,b[x][2])].map(E=>E*g),[T,C]=[Math.max(0,b[x][1]),Math.min(1,b[x][3])].map(E=>E*f);return new bt(p[x],new _o(T,w,C-T,I-w),{height:s.getInputHeight(0),width:s.getInputWidth(0)})});return l.dispose(),u.dispose(),y}getDefaultModelName(){return"ssd_mobilenetv1_model"}extractParamsFromWeightMap(t){return l$(t)}extractParams(t){return o$(t)}};function h$(e){let t=new As;return t.extractWeights(e),t}function gce(e){return h$(e)}var W1=class extends As{};var m$=.4,f$=[new De(.738768,.874946),new De(2.42204,2.65704),new De(4.30971,7.04493),new De(10.246,4.59428),new De(12.6868,11.8741)],g$=[new De(1.603231,2.094468),new De(6.041143,7.080126),new De(2.882459,3.518061),new De(4.266906,5.178857),new De(9.041765,10.66308)],b$=[117.001,114.697,97.404],y$="tiny_yolov2_model",x$="tiny_yolov2_separable_conv_model";var kg=e=>typeof e=="number";function B1(e){if(!e)throw new Error(`invalid config: ${e}`);if(typeof e.withSeparableConvs!="boolean")throw new Error(`config.withSeparableConvs has to be a boolean, have: ${e.withSeparableConvs}`);if(!kg(e.iouThreshold)||e.iouThreshold<0||e.iouThreshold>1)throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${e.iouThreshold}`);if(!Array.isArray(e.classes)||!e.classes.length||!e.classes.every(t=>typeof t=="string"))throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(e.classes)}`);if(!Array.isArray(e.anchors)||!e.anchors.length||!e.anchors.map(t=>t||{}).every(t=>kg(t.x)&&kg(t.y)))throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(e.anchors)}`);if(e.meanRgb&&(!Array.isArray(e.meanRgb)||e.meanRgb.length!==3||!e.meanRgb.every(kg)))throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(e.meanRgb)}`)}function bp(e){return P(()=>{let t=z(e,ye(.10000000149011612));return Y(Xe(pe(e,t)),t)})}function Vr(e,t){return P(()=>{let n=ya(e,[[0,0],[1,1],[1,1],[0,0]]);return n=$t(n,t.conv.filters,[1,1],"valid"),n=pe(n,t.bn.sub),n=z(n,t.bn.truediv),n=Y(n,t.conv.bias),bp(n)})}function Ur(e,t){return P(()=>{let n=ya(e,[[0,0],[1,1],[1,1],[0,0]]);return n=Ts(n,t.depthwise_filter,t.pointwise_filter,[1,1],"valid"),n=Y(n,t.bias),bp(n)})}function bce(e,t){let n=pp(e,t);function a(i,o){let l=Ke(e(i)),u=Ke(e(i));return t.push({paramPath:`${o}/sub`},{paramPath:`${o}/truediv`}),{sub:l,truediv:u}}function r(i,o,l){let u=n(i,o,3,`${l}/conv`),p=a(o,`${l}/bn`);return{conv:u,bn:p}}let s=cp(e,t);return{extractConvParams:n,extractConvWithBatchNormParams:r,extractSeparableConvParams:s}}function v$(e,t,n,a){let{extractWeights:r,getRemainingWeights:s}=$n(e),i=[],{extractConvParams:o,extractConvWithBatchNormParams:l,extractSeparableConvParams:u}=bce(r,i),p;if(t.withSeparableConvs){let[d,c,h,m,f,g,b,y,x]=a,w=t.isFirstLayerConv2d?o(d,c,3,"conv0"):u(d,c,"conv0"),I=u(c,h,"conv1"),T=u(h,m,"conv2"),C=u(m,f,"conv3"),E=u(f,g,"conv4"),A=u(g,b,"conv5"),R=y?u(b,y,"conv6"):void 0,F=x?u(y,x,"conv7"):void 0,S=o(x||y||b,5*n,1,"conv8");p={conv0:w,conv1:I,conv2:T,conv3:C,conv4:E,conv5:A,conv6:R,conv7:F,conv8:S}}else{let[d,c,h,m,f,g,b,y,x]=a,w=l(d,c,"conv0"),I=l(c,h,"conv1"),T=l(h,m,"conv2"),C=l(m,f,"conv3"),E=l(f,g,"conv4"),A=l(g,b,"conv5"),R=l(b,y,"conv6"),F=l(y,x,"conv7"),S=o(x,5*n,1,"conv8");p={conv0:w,conv1:I,conv2:T,conv3:C,conv4:E,conv5:A,conv6:R,conv7:F,conv8:S}}if(s().length!==0)throw new Error(`weights remaing after extract: ${s().length}`);return{params:p,paramMappings:i}}function yce(e,t){let n=sa(e,t);function a(o){let l=n(`${o}/sub`,1),u=n(`${o}/truediv`,1);return{sub:l,truediv:u}}function r(o){let l=n(`${o}/filters`,4),u=n(`${o}/bias`,1);return{filters:l,bias:u}}function s(o){let l=r(`${o}/conv`),u=a(`${o}/bn`);return{conv:l,bn:u}}let i=dp(n);return{extractConvParams:r,extractConvWithBatchNormParams:s,extractSeparableConvParams:i}}function w$(e,t){let n=[],{extractConvParams:a,extractConvWithBatchNormParams:r,extractSeparableConvParams:s}=yce(e,n),i;if(t.withSeparableConvs){let o=t.filterSizes&&t.filterSizes.length||9;i={conv0:t.isFirstLayerConv2d?a("conv0"):s("conv0"),conv1:s("conv1"),conv2:s("conv2"),conv3:s("conv3"),conv4:s("conv4"),conv5:s("conv5"),conv6:o>7?s("conv6"):void 0,conv7:o>8?s("conv7"):void 0,conv8:a("conv8")}}else i={conv0:r("conv0"),conv1:r("conv1"),conv2:r("conv2"),conv3:r("conv3"),conv4:r("conv4"),conv5:r("conv5"),conv6:r("conv6"),conv7:r("conv7"),conv8:a("conv8")};return An(e,n),{params:i,paramMappings:n}}var Qa=class{constructor({inputSize:t,scoreThreshold:n}={}){this._name="TinyYolov2Options";if(this._inputSize=t||416,this._scoreThreshold=n||.5,typeof this._inputSize!="number"||this._inputSize%32!==0)throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);if(typeof this._scoreThreshold!="number"||this._scoreThreshold<=0||this._scoreThreshold>=1)throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`)}get inputSize(){return this._inputSize}get scoreThreshold(){return this._scoreThreshold}};var V1=class extends sn{constructor(n){super("TinyYolov2");B1(n),this._config=n}get config(){return this._config}get withClassScores(){return this.config.withClassScores||this.config.classes.length>1}get boxEncodingSize(){return 5+(this.withClassScores?this.config.classes.length:0)}runTinyYolov2(n,a){let r=Vr(n,a.conv0);return r=Dt(r,[2,2],[2,2],"same"),r=Vr(r,a.conv1),r=Dt(r,[2,2],[2,2],"same"),r=Vr(r,a.conv2),r=Dt(r,[2,2],[2,2],"same"),r=Vr(r,a.conv3),r=Dt(r,[2,2],[2,2],"same"),r=Vr(r,a.conv4),r=Dt(r,[2,2],[2,2],"same"),r=Vr(r,a.conv5),r=Dt(r,[2,2],[1,1],"same"),r=Vr(r,a.conv6),r=Vr(r,a.conv7),Ro(r,a.conv8,"valid",!1)}runMobilenet(n,a){let r=this.config.isFirstLayerConv2d?bp(Ro(n,a.conv0,"valid",!1)):Ur(n,a.conv0);return r=Dt(r,[2,2],[2,2],"same"),r=Ur(r,a.conv1),r=Dt(r,[2,2],[2,2],"same"),r=Ur(r,a.conv2),r=Dt(r,[2,2],[2,2],"same"),r=Ur(r,a.conv3),r=Dt(r,[2,2],[2,2],"same"),r=Ur(r,a.conv4),r=Dt(r,[2,2],[2,2],"same"),r=Ur(r,a.conv5),r=Dt(r,[2,2],[1,1],"same"),r=a.conv6?Ur(r,a.conv6):r,r=a.conv7?Ur(r,a.conv7):r,Ro(r,a.conv8,"valid",!1)}forwardInput(n,a){let{params:r}=this;if(!r)throw new Error("TinyYolov2 - load model before inference");return P(()=>{let s=oe(n.toBatchTensor(a,!1),"float32");return s=this.config.meanRgb?Za(s,this.config.meanRgb):s,s=s.div(255),this.config.withSeparableConvs?this.runMobilenet(s,r):this.runTinyYolov2(s,r)})}async forward(n,a){return this.forwardInput(await yt(n),a)}async detect(n,a={}){let{inputSize:r,scoreThreshold:s}=new Qa(a),i=await yt(n),o=await this.forwardInput(i,r),l=P(()=>ct(o)[0].expandDims()),u={width:i.getInputWidth(0),height:i.getInputHeight(0)},p=await this.extractBoxes(l,i.getReshapedInputDimensions(0),s);o.dispose(),l.dispose();let d=p.map(b=>b.box),c=p.map(b=>b.score),h=p.map(b=>b.classScore),m=p.map(b=>this.config.classes[b.label]);return b1(d.map(b=>b.rescale(r)),c,this.config.iouThreshold,!0).map(b=>new Lr(c[b],h[b],m[b],d[b],u))}getDefaultModelName(){return""}extractParamsFromWeightMap(n){return w$(n,this.config)}extractParams(n){let a=this.config.filterSizes||V1.DEFAULT_FILTER_SIZES,r=a?a.length:void 0;if(r!==7&&r!==8&&r!==9)throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${r} filterSizes in config`);return v$(n,this.config,this.boxEncodingSize,a)}async extractBoxes(n,a,r){let{width:s,height:i}=a,o=Math.max(s,i),l=o/s,u=o/i,p=n.shape[1],d=this.config.anchors.length,[c,h,m]=P(()=>{let y=n.reshape([p,p,d,this.boxEncodingSize]),x=y.slice([0,0,0,0],[p,p,d,4]),w=y.slice([0,0,0,4],[p,p,d,1]),I=this.withClassScores?Ka(y.slice([0,0,0,5],[p,p,d,this.config.classes.length]),3):ye(0);return[x,w,I]}),f=[],g=await h.array(),b=await c.array();for(let y=0;yr){let T=(x+dd(b[y][x][w][0]))/p*l,C=(y+dd(b[y][x][w][1]))/p*u,E=Math.exp(b[y][x][w][2])*this.config.anchors[w].x/p*l,A=Math.exp(b[y][x][w][3])*this.config.anchors[w].y/p*u,R=T-E/2,F=C-A/2,S={row:y,col:x,anchor:w},{classScore:M,label:B}=this.withClassScores?await this.extractPredictedClass(m,S):{classScore:1,label:0};f.push({box:new Co(R,F,R+E,F+A),score:I,classScore:I*M,label:B,...S})}}return c.dispose(),h.dispose(),m.dispose(),f}async extractPredictedClass(n,a){let{row:r,col:s,anchor:i}=a,o=await n.array();return Array(this.config.classes.length).fill(0).map((l,u)=>o[r][s][i][u]).map((l,u)=>({classScore:l,label:u})).reduce((l,u)=>l.classScore>u.classScore?l:u)}},zo=V1;zo.DEFAULT_FILTER_SIZES=[3,16,32,64,128,256,512,1024,1024];var Wo=class extends zo{constructor(t=!0){let n={withSeparableConvs:t,iouThreshold:m$,classes:["face"],...t?{anchors:g$,meanRgb:b$}:{anchors:f$,withClassScores:!0}};super(n)}get withSeparableConvs(){return this.config.withSeparableConvs}get anchors(){return this.config.anchors}async locateFaces(t,n){return(await this.detect(t,n)).map(r=>new bt(r.score,r.relativeBox,{width:r.imageWidth,height:r.imageHeight}))}getDefaultModelName(){return this.withSeparableConvs?x$:y$}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};function xce(e,t=!0){let n=new Wo(t);return n.extractWeights(e),n}var Sd=class extends Qa{constructor(){super(...arguments);this._name="TinyFaceDetectorOptions"}};var ka=class{async then(t){return t(await this.run())}async run(){throw new Error("ComposableTask - run is not implemented")}};async function Bo(e,t,n,a,r=({alignedRect:s})=>s){let s=e.map(l=>Mo(l)?r(l):l.detection),i=a||(t instanceof Te?await up(t,s):await lp(t,s)),o=await n(i);return i.forEach(l=>l instanceof Te&&l.dispose()),o}async function yp(e,t,n,a,r){return Bo([e],t,async s=>n(s[0]),a,r)}var k$=.4,I$=[new De(1.603231,2.094468),new De(6.041143,7.080126),new De(2.882459,3.518061),new De(4.266906,5.178857),new De(9.041765,10.66308)],S$=[117.001,114.697,97.404];var Vo=class extends zo{constructor(){let t={withSeparableConvs:!0,iouThreshold:k$,classes:["face"],anchors:I$,meanRgb:S$,isFirstLayerConv2d:!0,filterSizes:[3,16,32,64,128,256,512]};super(t)}get anchors(){return this.config.anchors}async locateFaces(t,n){return(await this.detect(t,n)).map(r=>new bt(r.score,r.relativeBox,{width:r.imageWidth,height:r.imageHeight}))}getDefaultModelName(){return"tiny_face_detector_model"}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};var Qe={ssdMobilenetv1:new As,tinyFaceDetector:new Vo,tinyYolov2:new Wo,faceLandmark68Net:new Po,faceLandmark68TinyNet:new kd,faceRecognitionNet:new Oo,faceExpressionNet:new vd,ageGenderNet:new wd},T$=(e,t)=>Qe.ssdMobilenetv1.locateFaces(e,t),vce=(e,t)=>Qe.tinyFaceDetector.locateFaces(e,t),wce=(e,t)=>Qe.tinyYolov2.locateFaces(e,t),N$=e=>Qe.faceLandmark68Net.detectLandmarks(e),kce=e=>Qe.faceLandmark68TinyNet.detectLandmarks(e),Ice=e=>Qe.faceRecognitionNet.computeFaceDescriptor(e),Sce=e=>Qe.faceExpressionNet.predictExpressions(e),Tce=e=>Qe.ageGenderNet.predictAgeAndGender(e),C$=e=>Qe.ssdMobilenetv1.load(e),Nce=e=>Qe.tinyFaceDetector.load(e),Cce=e=>Qe.tinyYolov2.load(e),_ce=e=>Qe.faceLandmark68Net.load(e),Ece=e=>Qe.faceLandmark68TinyNet.load(e),Ace=e=>Qe.faceRecognitionNet.load(e),$ce=e=>Qe.faceExpressionNet.load(e),Fce=e=>Qe.ageGenderNet.load(e),Dce=C$,Rce=T$,Mce=N$;var Ig=class extends ka{constructor(n,a,r){super();this.parentTask=n;this.input=a;this.extractedFaces=r}},Uo=class extends Ig{async run(){let t=await this.parentTask,n=await Bo(t,this.input,async a=>Promise.all(a.map(r=>Qe.faceExpressionNet.predictExpressions(r))),this.extractedFaces);return t.map((a,r)=>dg(a,n[r]))}withAgeAndGender(){return new Ho(this,this.input)}},Go=class extends Ig{async run(){let t=await this.parentTask;if(!t)return;let n=await yp(t,this.input,a=>Qe.faceExpressionNet.predictExpressions(a),this.extractedFaces);return dg(t,n)}withAgeAndGender(){return new jo(this,this.input)}},$s=class extends Uo{withAgeAndGender(){return new Ds(this,this.input)}withFaceDescriptors(){return new Gr(this,this.input)}},Fs=class extends Go{withAgeAndGender(){return new Rs(this,this.input)}withFaceDescriptor(){return new Hr(this,this.input)}};var Sg=class extends ka{constructor(n,a,r){super();this.parentTask=n;this.input=a;this.extractedFaces=r}},Ho=class extends Sg{async run(){let t=await this.parentTask,n=await Bo(t,this.input,async a=>Promise.all(a.map(r=>Qe.ageGenderNet.predictAgeAndGender(r))),this.extractedFaces);return t.map((a,r)=>{let{age:s,gender:i,genderProbability:o}=n[r];return vg(wg(a,i,o),s)})}withFaceExpressions(){return new Uo(this,this.input)}},jo=class extends Sg{async run(){let t=await this.parentTask;if(!t)return;let{age:n,gender:a,genderProbability:r}=await yp(t,this.input,s=>Qe.ageGenderNet.predictAgeAndGender(s),this.extractedFaces);return vg(wg(t,a,r),n)}withFaceExpressions(){return new Go(this,this.input)}},Ds=class extends Ho{withFaceExpressions(){return new $s(this,this.input)}withFaceDescriptors(){return new Gr(this,this.input)}},Rs=class extends jo{withFaceExpressions(){return new Fs(this,this.input)}withFaceDescriptor(){return new Hr(this,this.input)}};var Td=class extends ka{constructor(n,a){super();this.parentTask=n;this.input=a}},Gr=class extends Td{async run(){let t=await this.parentTask;return(await Bo(t,this.input,a=>Promise.all(a.map(r=>Qe.faceRecognitionNet.computeFaceDescriptor(r))),null,a=>a.landmarks.align(null,{useDlibAlignment:!0}))).map((a,r)=>xg(t[r],a))}withFaceExpressions(){return new $s(this,this.input)}withAgeAndGender(){return new Ds(this,this.input)}},Hr=class extends Td{async run(){let t=await this.parentTask;if(!t)return;let n=await yp(t,this.input,a=>Qe.faceRecognitionNet.computeFaceDescriptor(a),null,a=>a.landmarks.align(null,{useDlibAlignment:!0}));return xg(t,n)}withFaceExpressions(){return new Fs(this,this.input)}withAgeAndGender(){return new Rs(this,this.input)}};var Nd=class extends ka{constructor(n,a,r){super();this.parentTask=n;this.input=a;this.useTinyLandmarkNet=r}get landmarkNet(){return this.useTinyLandmarkNet?Qe.faceLandmark68TinyNet:Qe.faceLandmark68Net}},Cd=class extends Nd{async run(){let t=await this.parentTask,n=t.map(i=>i.detection),a=this.input instanceof Te?await up(this.input,n):await lp(this.input,n),r=await Promise.all(a.map(i=>this.landmarkNet.detectLandmarks(i)));return a.forEach(i=>i instanceof Te&&i.dispose()),t.filter((i,o)=>r[o]).map((i,o)=>fp(i,r[o]))}withFaceExpressions(){return new $s(this,this.input)}withAgeAndGender(){return new Ds(this,this.input)}withFaceDescriptors(){return new Gr(this,this.input)}},_d=class extends Nd{async run(){let t=await this.parentTask;if(!t)return;let{detection:n}=t,a=this.input instanceof Te?await up(this.input,[n]):await lp(this.input,[n]),r=await this.landmarkNet.detectLandmarks(a[0]);return a.forEach(s=>s instanceof Te&&s.dispose()),fp(t,r)}withFaceExpressions(){return new Fs(this,this.input)}withAgeAndGender(){return new Rs(this,this.input)}withFaceDescriptor(){return new Hr(this,this.input)}};var Ed=class extends ka{constructor(n,a=new wa){super();this.input=n;this.options=a}},xp=class extends Ed{async run(){let{input:t,options:n}=this,a;if(n instanceof Sd)a=Qe.tinyFaceDetector.locateFaces(t,n);else if(n instanceof wa)a=Qe.ssdMobilenetv1.locateFaces(t,n);else if(n instanceof Qa)a=Qe.tinyYolov2.locateFaces(t,n);else throw new Error("detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | TinyYolov2Options");return a}runAndExtendWithFaceDetections(){return new Promise((t,n)=>{this.run().then(a=>t(a.map(r=>Ao({},r)))).catch(a=>n(a))})}withFaceLandmarks(t=!1){return new Cd(this.runAndExtendWithFaceDetections(),this.input,t)}withFaceExpressions(){return new Uo(this.runAndExtendWithFaceDetections(),this.input)}withAgeAndGender(){return new Ho(this.runAndExtendWithFaceDetections(),this.input)}},Ad=class extends Ed{async run(){let t=await new xp(this.input,this.options),n=t[0];return t.forEach(a=>{a.score>n.score&&(n=a)}),n}runAndExtendWithFaceDetection(){return new Promise(async t=>{let n=await this.run();t(n?Ao({},n):void 0)})}withFaceLandmarks(t=!1){return new _d(this.runAndExtendWithFaceDetection(),this.input,t)}withFaceExpressions(){return new Go(this.runAndExtendWithFaceDetection(),this.input)}withAgeAndGender(){return new jo(this.runAndExtendWithFaceDetection(),this.input)}};function Pce(e,t=new wa){return new Ad(e,t)}function Tg(e,t=new wa){return new xp(e,t)}async function _$(e,t){return Tg(e,new wa(t?{minConfidence:t}:{})).withFaceLandmarks().withFaceDescriptors()}async function Oce(e,t={}){return Tg(e,new Qa(t)).withFaceLandmarks().withFaceDescriptors()}var Lce=_$;function U1(e,t){if(e.length!==t.length)throw new Error("euclideanDistance: arr1.length !== arr2.length");let n=Array.from(e),a=Array.from(t);return Math.sqrt(n.map((r,s)=>r-a[s]).reduce((r,s)=>r+s*s,0))}var $d=class{constructor(t,n=.6){this._distanceThreshold=n;let a=Array.isArray(t)?t:[t];if(!a.length)throw new Error("FaceRecognizer.constructor - expected atleast one input");let r=1,s=()=>`person ${r++}`;this._labeledDescriptors=a.map(i=>{if(i instanceof gr)return i;if(i instanceof Float32Array)return new gr(s(),[i]);if(i.descriptor&&i.descriptor instanceof Float32Array)return new gr(s(),[i.descriptor]);throw new Error("FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>")})}get labeledDescriptors(){return this._labeledDescriptors}get distanceThreshold(){return this._distanceThreshold}computeMeanDistance(t,n){return n.map(a=>U1(a,t)).reduce((a,r)=>a+r,0)/(n.length||1)}matchDescriptor(t){return this.labeledDescriptors.map(({descriptors:n,label:a})=>new sp(a,this.computeMeanDistance(t,n))).reduce((n,a)=>n.distancet.toJSON())}}static fromJSON(t){let n=t.labeledDescriptors.map(a=>gr.fromJSON(a));return new $d(n,t.distanceThreshold)}};function zce(e){let t=new Vo;return t.extractWeights(e),t}function E$(e,t){let{width:n,height:a}=new bn(t.width,t.height);if(n<=0||a<=0)throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({width:n,height:a})}`);if(Array.isArray(e))return e.map(r=>E$(r,{width:n,height:a}));if(Mo(e)){let r=e.detection.forSize(n,a),s=e.unshiftedLandmarks.forSize(r.box.width,r.box.height);return fp(Ao(e,r),s)}return br(e)?Ao(e,e.detection.forSize(n,a)):e instanceof ra||e instanceof bt?e.forSize(n,a):e}var Wce=XA;return hF(Bce);})(); diff --git a/dist/face-api.node-gpu.js b/dist/face-api.node-gpu.js index 7cc6012..1e317fc 100644 --- a/dist/face-api.node-gpu.js +++ b/dist/face-api.node-gpu.js @@ -4,4 +4,4 @@ author: ' */ -"use strict";var ln=Object.create;var er=Object.defineProperty;var dn=Object.getOwnPropertyDescriptor;var hn=Object.getOwnPropertyNames;var bn=Object.getPrototypeOf,gn=Object.prototype.hasOwnProperty;var xn=(o,t)=>()=>(t||o((t={exports:{}}).exports,t),t.exports),Lr=(o,t)=>{for(var e in t)er(o,e,{get:t[e],enumerable:!0})},yo=(o,t,e,r)=>{if(t&&typeof t=="object"||typeof t=="function")for(let n of hn(t))!gn.call(o,n)&&n!==e&&er(o,n,{get:()=>t[n],enumerable:!(r=dn(t,n))||r.enumerable});return o};var v=(o,t,e)=>(e=o!=null?ln(bn(o)):{},yo(t||!o||!o.__esModule?er(e,"default",{value:o,enumerable:!0}):e,o)),vn=o=>yo(er({},"__esModule",{value:!0}),o);var x=xn((ka,Wr)=>{"use strict";var _o=Object.defineProperty,yn=Object.getOwnPropertyDescriptor,_n=Object.getOwnPropertyNames,Tn=Object.prototype.hasOwnProperty,Ar=(o,t,e,r)=>{if(t&&typeof t=="object"||typeof t=="function")for(let n of _n(t))!Tn.call(o,n)&&n!==e&&_o(o,n,{get:()=>t[n],enumerable:!(r=yn(t,n))||r.enumerable});return o},Pn=(o,t,e)=>(Ar(o,t,"default"),e&&Ar(e,t,"default")),wn=o=>Ar(_o({},"__esModule",{value:!0}),o),To={};Wr.exports=wn(To);Pn(To,require("@tensorflow/tfjs-node-gpu"),Wr.exports)});var Na={};Lr(Na,{AgeGenderNet:()=>He,BoundingBox:()=>Vt,Box:()=>F,ComposableTask:()=>J,ComputeAllFaceDescriptorsTask:()=>wt,ComputeFaceDescriptorsTaskBase:()=>Ue,ComputeSingleFaceDescriptorTask:()=>Ft,DetectAllFaceLandmarksTask:()=>qe,DetectAllFacesTask:()=>Ie,DetectFaceLandmarksTaskBase:()=>Je,DetectFacesTaskBase:()=>Ke,DetectSingleFaceLandmarksTask:()=>Ze,DetectSingleFaceTask:()=>Qe,Dimensions:()=>k,FACE_EXPRESSION_LABELS:()=>no,FaceDetection:()=>M,FaceDetectionNet:()=>uo,FaceExpressionNet:()=>Oe,FaceExpressions:()=>yt,FaceLandmark68Net:()=>Kt,FaceLandmark68TinyNet:()=>ze,FaceLandmarkNet:()=>co,FaceLandmarks:()=>z,FaceLandmarks5:()=>Yr,FaceLandmarks68:()=>Gt,FaceMatch:()=>pe,FaceMatcher:()=>tr,FaceRecognitionNet:()=>Qt,Gender:()=>Tr,LabeledBox:()=>ue,LabeledFaceDescriptors:()=>mt,NetInput:()=>ut,NeuralNetwork:()=>A,ObjectDetection:()=>bt,Point:()=>b,PredictedBox:()=>Gr,Rect:()=>Yt,SsdMobilenetv1:()=>St,SsdMobilenetv1Options:()=>X,TinyFaceDetector:()=>ne,TinyFaceDetectorOptions:()=>je,TinyYolov2:()=>re,TinyYolov2Options:()=>st,allFaces:()=>Ea,allFacesSsdMobilenetv1:()=>un,allFacesTinyYolov2:()=>Da,awaitMediaLoaded:()=>Kr,bufferToImage:()=>Qr,computeFaceDescriptor:()=>fa,createCanvas:()=>Jt,createCanvasFromMedia:()=>We,createFaceDetectionNet:()=>aa,createFaceRecognitionNet:()=>Xn,createSsdMobilenetv1:()=>Jo,createTinyFaceDetector:()=>Ma,createTinyYolov2:()=>ca,detectAllFaces:()=>Sr,detectFaceLandmarks:()=>mn,detectFaceLandmarksTiny:()=>ua,detectLandmarks:()=>wa,detectSingleFace:()=>Fa,draw:()=>so,env:()=>P,euclideanDistance:()=>go,extendWithAge:()=>Er,extendWithFaceDescriptor:()=>Dr,extendWithFaceDetection:()=>jt,extendWithFaceExpressions:()=>xr,extendWithFaceLandmarks:()=>we,extendWithGender:()=>Mr,extractFaceTensors:()=>de,extractFaces:()=>le,fetchImage:()=>An,fetchJson:()=>ro,fetchNetWeights:()=>Wn,fetchOrThrow:()=>xt,fetchVideo:()=>kn,getContext2dOrThrow:()=>O,getMediaDimensions:()=>Xt,imageTensorToCanvas:()=>to,imageToSquare:()=>eo,inverseSigmoid:()=>En,iou:()=>Or,isMediaElement:()=>ir,isMediaLoaded:()=>Ae,isWithAge:()=>Jn,isWithFaceDetection:()=>pt,isWithFaceExpressions:()=>ao,isWithFaceLandmarks:()=>Zt,isWithGender:()=>qn,loadAgeGenderModel:()=>_a,loadFaceDetectionModel:()=>Ta,loadFaceExpressionModel:()=>ya,loadFaceLandmarkModel:()=>ga,loadFaceLandmarkTinyModel:()=>xa,loadFaceRecognitionModel:()=>va,loadSsdMobilenetv1Model:()=>pn,loadTinyFaceDetectorModel:()=>ha,loadTinyYolov2Model:()=>ba,loadWeightMap:()=>oo,locateFaces:()=>Pa,matchDimensions:()=>Bn,minBbox:()=>Hr,nets:()=>w,nonMaxSuppression:()=>zr,normalize:()=>rt,padToSquare:()=>Vr,predictAgeAndGender:()=>da,recognizeFaceExpressions:()=>la,resizeResults:()=>fn,resolveInput:()=>Ut,shuffleArray:()=>Dn,sigmoid:()=>Ne,ssdMobilenetv1:()=>cn,tf:()=>Ca,tinyFaceDetector:()=>ma,tinyYolov2:()=>pa,toNetInput:()=>C,utils:()=>$r,validateConfig:()=>fo,version:()=>Ia});module.exports=vn(Na);var Ca=v(x());var so={};Lr(so,{AnchorPosition:()=>Zr,DrawBox:()=>Le,DrawBoxOptions:()=>ar,DrawFaceLandmarks:()=>yr,DrawFaceLandmarksOptions:()=>vr,DrawTextField:()=>gt,DrawTextFieldOptions:()=>fe,drawContour:()=>dt,drawDetections:()=>Ln,drawFaceExpressions:()=>Rn,drawFaceLandmarks:()=>On});function dt(o,t,e=!1){if(o.beginPath(),t.slice(1).forEach(({x:r,y:n},a)=>{let s=t[a];o.moveTo(s.x,s.y),o.lineTo(r,n)}),e){let r=t[t.length-1],n=t[0];if(!r||!n)return;o.moveTo(r.x,r.y),o.lineTo(n.x,n.y)}o.stroke()}var $r={};Lr($r,{computeReshapedDimensions:()=>Rr,getCenterPoint:()=>zt,isDimensions:()=>or,isEven:()=>rr,isFloat:()=>Br,isTensor:()=>Ot,isTensor1D:()=>Fn,isTensor2D:()=>kr,isTensor3D:()=>ht,isTensor4D:()=>U,isValidNumber:()=>et,isValidProbablitiy:()=>me,range:()=>it,round:()=>Ht});var Po=v(x());var k=class{constructor(t,e){if(!et(t)||!et(e))throw new Error(`Dimensions.constructor - expected width and height to be valid numbers, instead have ${JSON.stringify({width:t,height:e})}`);this._width=t,this._height=e}get width(){return this._width}get height(){return this._height}reverse(){return new k(1/this.width,1/this.height)}};function Ot(o,t){return o instanceof Po.Tensor&&o.shape.length===t}function Fn(o){return Ot(o,1)}function kr(o){return Ot(o,2)}function ht(o){return Ot(o,3)}function U(o){return Ot(o,4)}function Br(o){return o%1!==0}function rr(o){return o%2===0}function Ht(o,t=2){let e=10**t;return Math.floor(o*e)/e}function or(o){return o&&o.width&&o.height}function Rr({width:o,height:t},e){let r=e/Math.max(t,o);return new k(Math.round(o*r),Math.round(t*r))}function zt(o){return o.reduce((t,e)=>t.add(e),new b(0,0)).div(new b(o.length,o.length))}function it(o,t,e){return Array(o).fill(0).map((r,n)=>t+n*e)}function et(o){return!!o&&o!==1/0&&o!==-1/0&&!Number.isNaN(o)||o===0}function me(o){return et(o)&&o>=0&&o<=1}var b=class{constructor(t,e){this._x=t,this._y=e}get x(){return this._x}get y(){return this._y}add(t){return new b(this.x+t.x,this.y+t.y)}sub(t){return new b(this.x-t.x,this.y-t.y)}mul(t){return new b(this.x*t.x,this.y*t.y)}div(t){return new b(this.x/t.x,this.y/t.y)}abs(){return new b(Math.abs(this.x),Math.abs(this.y))}magnitude(){return Math.sqrt(this.x**2+this.y**2)}floor(){return new b(Math.floor(this.x),Math.floor(this.y))}};var F=class{static isRect(t){return!!t&&[t.x,t.y,t.width,t.height].every(et)}static assertIsValidBox(t,e,r=!1){if(!F.isRect(t))throw new Error(`${e} - invalid box: ${JSON.stringify(t)}, expected object with properties x, y, width, height`);if(!r&&(t.width<0||t.height<0))throw new Error(`${e} - width (${t.width}) and height (${t.height}) must be positive numbers`)}constructor(t,e=!0){let r=t||{},n=[r.left,r.top,r.right,r.bottom].every(et),a=[r.x,r.y,r.width,r.height].every(et);if(!a&&!n)throw new Error(`Box.constructor - expected box to be IBoundingBox | IRect, instead have ${JSON.stringify(r)}`);let[s,i,c,m]=a?[r.x,r.y,r.width,r.height]:[r.left,r.top,r.right-r.left,r.bottom-r.top];F.assertIsValidBox({x:s,y:i,width:c,height:m},"Box.constructor",e),this._x=s,this._y=i,this._width=c,this._height=m}get x(){return this._x}get y(){return this._y}get width(){return this._width}get height(){return this._height}get left(){return this.x}get top(){return this.y}get right(){return this.x+this.width}get bottom(){return this.y+this.height}get area(){return this.width*this.height}get topLeft(){return new b(this.left,this.top)}get topRight(){return new b(this.right,this.top)}get bottomLeft(){return new b(this.left,this.bottom)}get bottomRight(){return new b(this.right,this.bottom)}round(){let[t,e,r,n]=[this.x,this.y,this.width,this.height].map(a=>Math.round(a));return new F({x:t,y:e,width:r,height:n})}floor(){let[t,e,r,n]=[this.x,this.y,this.width,this.height].map(a=>Math.floor(a));return new F({x:t,y:e,width:r,height:n})}toSquare(){let{x:t,y:e,width:r,height:n}=this,a=Math.abs(r-n);return re&&(i=-u+e+r,u=e),f>t&&(c=-f+t+n,f=t),m<1&&(c=2-m,m=1),p<1&&(c=2-p,p=1),{dy:s,edy:c,dx:a,edx:i,y:p,ey:f,x:m,ex:u,w:r,h:n}}calibrate(t){return new F({left:this.left+t.left*this.width,top:this.top+t.top*this.height,right:this.right+t.right*this.width,bottom:this.bottom+t.bottom*this.height}).toSquare().round()}};var Vt=class extends F{constructor(t,e,r,n,a=!1){super({left:t,top:e,right:r,bottom:n},a)}};var bt=class{constructor(t,e,r,n,a){this._imageDims=new k(a.width,a.height),this._score=t,this._classScore=e,this._className=r,this._box=new F(n).rescale(this._imageDims)}get score(){return this._score}get classScore(){return this._classScore}get className(){return this._className}get box(){return this._box}get imageDims(){return this._imageDims}get imageWidth(){return this.imageDims.width}get imageHeight(){return this.imageDims.height}get relativeBox(){return new F(this._box).rescale(this.imageDims.reverse())}forSize(t,e){return new bt(this.score,this.classScore,this.className,this.relativeBox,{width:t,height:e})}};var M=class extends bt{constructor(t,e,r){super(t,t,"",e,r)}forSize(t,e){let{score:r,relativeBox:n,imageDims:a}=super.forSize(t,e);return new M(r,n,a)}};function Or(o,t,e=!0){let r=Math.max(0,Math.min(o.right,t.right)-Math.max(o.left,t.left)),n=Math.max(0,Math.min(o.bottom,t.bottom)-Math.max(o.top,t.top)),a=r*n;return e?a/(o.area+t.area-a):a/Math.min(o.area,t.area)}function Hr(o){let t=o.map(i=>i.x),e=o.map(i=>i.y),r=t.reduce((i,c)=>ccii({score:s,boxIndex:i})).sort((s,i)=>s.score-i.score).map(s=>s.boxIndex),a=[];for(;n.length>0;){let s=n.pop();a.push(s);let i=n,c=[];for(let m=0;mc[p]<=e)}return a}var ct=v(x());function rt(o,t){return ct.tidy(()=>{let[e,r,n]=t,a=ct.fill([...o.shape.slice(0,3),1],e,"float32"),s=ct.fill([...o.shape.slice(0,3),1],r,"float32"),i=ct.fill([...o.shape.slice(0,3),1],n,"float32"),c=ct.concat([a,s,i],3);return ct.sub(o,c)})}var Ct=v(x());function Vr(o,t=!1){return Ct.tidy(()=>{let[e,r]=o.shape.slice(1);if(e===r)return o;let n=Math.abs(e-r),a=Math.round(n*(t?.5:1)),s=e>r?2:1,i=f=>{let l=o.shape.slice();return l[s]=f,Ct.fill(l,0,"float32")},c=i(a),m=n-c.shape[s],u=[t&&m?i(m):null,o,c].filter(f=>!!f).map(f=>Ct.cast(f,"float32"));return Ct.concat(u,s)})}function Dn(o){let t=o.slice();for(let e=t.length-1;e>0;e--){let r=Math.floor(Math.random()*(e+1)),n=t[e];t[e]=t[r],t[r]=n}return t}function Ne(o){return 1/(1+Math.exp(-o))}function En(o){return Math.log(o/(1-o))}var Yt=class extends F{constructor(t,e,r,n,a=!1){super({x:t,y:e,width:r,height:n},a)}};var Mn=.5,Cn=.43,In=.45,z=class{constructor(t,e,r=new b(0,0)){let{width:n,height:a}=e;this._imgDims=new k(n,a),this._shift=r,this._positions=t.map(s=>s.mul(new b(n,a)).add(r))}get shift(){return new b(this._shift.x,this._shift.y)}get imageWidth(){return this._imgDims.width}get imageHeight(){return this._imgDims.height}get positions(){return this._positions}get relativePositions(){return this._positions.map(t=>t.sub(this._shift).div(new b(this.imageWidth,this.imageHeight)))}forSize(t,e){return new this.constructor(this.relativePositions,{width:t,height:e})}shiftBy(t,e){return new this.constructor(this.relativePositions,this._imgDims,new b(t,e))}shiftByPoint(t){return this.shiftBy(t.x,t.y)}align(t,e={}){if(t){let a=t instanceof M?t.box.floor():new F(t);return this.shiftBy(a.x,a.y).align(null,e)}let{useDlibAlignment:r,minBoxPadding:n}={useDlibAlignment:!1,minBoxPadding:.2,...e};return r?this.alignDlib():this.alignMinBbox(n)}alignDlib(){let t=this.getRefPointsForAlignment(),[e,r,n]=t,a=u=>n.sub(u).magnitude(),s=(a(e)+a(r))/2,i=Math.floor(s/In),c=zt(t),m=Math.floor(Math.max(0,c.x-Mn*i)),p=Math.floor(Math.max(0,c.y-Cn*i));return new Yt(m,p,Math.min(i,this.imageWidth+m),Math.min(i,this.imageHeight+p))}alignMinBbox(t){let e=Hr(this.positions);return e.pad(e.width*t,e.height*t)}getRefPointsForAlignment(){throw new Error("getRefPointsForAlignment not implemented by base class")}};var Yr=class extends z{getRefPointsForAlignment(){let t=this.positions;return[t[0],t[1],zt([t[3],t[4]])]}};var Gt=class extends z{getJawOutline(){return this.positions.slice(0,17)}getLeftEyeBrow(){return this.positions.slice(17,22)}getRightEyeBrow(){return this.positions.slice(22,27)}getNose(){return this.positions.slice(27,36)}getLeftEye(){return this.positions.slice(36,42)}getRightEye(){return this.positions.slice(42,48)}getMouth(){return this.positions.slice(48,68)}getRefPointsForAlignment(){return[this.getLeftEye(),this.getRightEye(),this.getMouth()].map(zt)}};var pe=class{constructor(t,e){this._label=t,this._distance=e}get label(){return this._label}get distance(){return this._distance}toString(t=!0){return`${this.label}${t?` (${Ht(this.distance)})`:""}`}};var ue=class extends F{constructor(e,r){super(e);this._label=r}static assertIsValidLabeledBox(e,r){if(F.assertIsValidBox(e,r),!et(e.label))throw new Error(`${r} - expected property label (${e.label}) to be a number`)}get label(){return this._label}};var mt=class{constructor(t,e){if(typeof t!="string")throw new Error("LabeledFaceDescriptors - constructor expected label to be a string");if(!Array.isArray(e)||e.some(r=>!(r instanceof Float32Array)))throw new Error("LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array");this._label=t,this._descriptors=e}get label(){return this._label}get descriptors(){return this._descriptors}toJSON(){return{label:this.label,descriptors:this.descriptors.map(t=>Array.from(t))}}static fromJSON(t){let e=t.descriptors.map(r=>new Float32Array(r));return new mt(t.label,e)}};var Gr=class extends ue{constructor(e,r,n,a){super(e,r);this._score=n,this._classScore=a}static assertIsValidPredictedBox(e,r){if(ue.assertIsValidLabeledBox(e,r),!me(e.score)||!me(e.classScore))throw new Error(`${r} - expected properties score (${e.score}) and (${e.classScore}) to be a number between [0, 1]`)}get score(){return this._score}get classScore(){return this._classScore}};function pt(o){return o.detection instanceof M}function jt(o,t){return{...o,...{detection:t}}}function jr(){let o=window.fetch;if(!o)throw new Error("fetch - missing fetch implementation for browser environment");return{Canvas:HTMLCanvasElement,CanvasRenderingContext2D,Image:HTMLImageElement,ImageData,Video:HTMLVideoElement,createCanvasElement:()=>document.createElement("canvas"),createImageElement:()=>document.createElement("img"),createVideoElement:()=>document.createElement("video"),fetch:o,readFile:()=>{throw new Error("readFile - filesystem not available for browser environment")}}}function Se(){return typeof global=="object"&&typeof process!="undefined"&&process.versions!=null&&process.versions.node!=null}function nr(o){let t="";if(!o&&Se())try{o=require("fs")}catch(r){t=r.toString()}return{readFile:o?r=>new Promise((n,a)=>{o.readFile(r,(s,i)=>s?a(s):n(i))}):()=>{throw new Error(`readFile - failed to require fs in nodejs environment with error: ${t}`)}}}function Ur(){let o=global.Canvas||global.HTMLCanvasElement,t=global.Image||global.HTMLImageElement,e=global.Video||global.HTMLVideoElement,r=()=>{if(o)return new o;throw new Error("createCanvasElement - missing Canvas implementation for nodejs environment")},n=()=>{if(t)return new t;throw new Error("createImageElement - missing Image implementation for nodejs environment")},a=()=>{if(e)return new e;throw new Error("createVideoElement - missing Video implementation for nodejs environment")},s=global.fetch,i=nr();return{Canvas:o||class{},CanvasRenderingContext2D:global.CanvasRenderingContext2D||class{},Image:t||class{},ImageData:global.ImageData||class{},Video:global.HTMLVideoElement||class{},createCanvasElement:r,createImageElement:n,createVideoElement:a,fetch:s,...i}}function Xr(){return typeof window=="object"&&typeof document!="undefined"&&typeof HTMLImageElement!="undefined"&&typeof HTMLCanvasElement!="undefined"&&typeof HTMLVideoElement!="undefined"&&typeof ImageData!="undefined"&&typeof CanvasRenderingContext2D!="undefined"}var L;function Nn(){if(!L)throw new Error("getEnv - environment is not defined, check isNodejs() and isBrowser()");return L}function Jr(o){L=o}function qr(){return Xr()?Jr(jr()):Se()?Jr(Ur()):null}function Sn(o){if(L||qr(),!L)throw new Error("monkeyPatch - environment is not defined, check isNodejs() and isBrowser()");let{Canvas:t=L.Canvas,Image:e=L.Image}=o;L.Canvas=t,L.Image=e,L.createCanvasElement=o.createCanvasElement||(()=>new t),L.createImageElement=o.createImageElement||(()=>new e),L.ImageData=o.ImageData||L.ImageData,L.Video=o.Video||L.Video,L.fetch=o.fetch||L.fetch,L.readFile=o.readFile||L.readFile}var P={getEnv:Nn,setEnv:Jr,initialize:qr,createBrowserEnv:jr,createFileSystem:nr,createNodejsEnv:Ur,monkeyPatch:Sn,isBrowser:Xr,isNodejs:Se};qr();function Ut(o){return!P.isNodejs()&&typeof o=="string"?document.getElementById(o):o}function O(o){let{Canvas:t,CanvasRenderingContext2D:e}=P.getEnv();if(o instanceof e)return o;let r=Ut(o);if(!(r instanceof t))throw new Error("resolveContext2d - expected canvas to be of instance of Canvas");let n=r.getContext("2d");if(!n)throw new Error("resolveContext2d - canvas 2d context is null");return n}var Zr=(n=>(n.TOP_LEFT="TOP_LEFT",n.TOP_RIGHT="TOP_RIGHT",n.BOTTOM_LEFT="BOTTOM_LEFT",n.BOTTOM_RIGHT="BOTTOM_RIGHT",n))(Zr||{}),fe=class{constructor(t={}){let{anchorPosition:e,backgroundColor:r,fontColor:n,fontSize:a,fontStyle:s,padding:i}=t;this.anchorPosition=e||"TOP_LEFT",this.backgroundColor=r||"rgba(0, 0, 0, 0.5)",this.fontColor=n||"rgba(255, 255, 255, 1)",this.fontSize=a||14,this.fontStyle=s||"Georgia",this.padding=i||4}},gt=class{constructor(t,e,r={}){this.text=typeof t=="string"?[t]:t instanceof gt?t.text:t,this.anchor=e,this.options=new fe(r)}measureWidth(t){let{padding:e}=this.options;return this.text.map(r=>t.measureText(r).width).reduce((r,n)=>r{let g=c+u.x,T=c+u.y+(l+1)*s;r.fillText(f,g,T)})}};var ar=class{constructor(t={}){let{boxColor:e,lineWidth:r,label:n,drawLabelOptions:a}=t;this.boxColor=e||"rgba(0, 0, 255, 1)",this.lineWidth=r||2,this.label=n;let s={anchorPosition:"BOTTOM_LEFT",backgroundColor:this.boxColor};this.drawLabelOptions=new fe({...s,...a})}},Le=class{constructor(t,e={}){this.box=new F(t),this.options=new ar(e)}draw(t){let e=O(t),{boxColor:r,lineWidth:n}=this.options,{x:a,y:s,width:i,height:c}=this.box;e.strokeStyle=r,e.lineWidth=n,e.strokeRect(a,s,i,c);let{label:m}=this.options;m&&new gt([m],{x:a-n/2,y:s},this.options.drawLabelOptions).draw(t)}};function Ln(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let n=r instanceof M?r.score:pt(r)?r.detection.score:void 0,a=r instanceof M?r.box:pt(r)?r.detection.box:new F(r),s=n?`${Ht(n)}`:void 0;new Le(a,{label:s}).draw(o)})}var Pe=v(x());function Ae(o){let{Image:t,Video:e}=P.getEnv();return o instanceof t&&o.complete||o instanceof e&&o.readyState>=3}function Kr(o){return new Promise((t,e)=>{(o instanceof P.getEnv().Canvas||Ae(o))&&t(null);function r(a){!a.currentTarget||(a.currentTarget.removeEventListener("load",n),a.currentTarget.removeEventListener("error",r),e(a))}function n(a){!a.currentTarget||(a.currentTarget.removeEventListener("load",n),a.currentTarget.removeEventListener("error",r),t(a))}o.addEventListener("load",n),o.addEventListener("error",r)})}function Qr(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToImage - expected buf to be of type: Blob"));let r=new FileReader;r.onload=()=>{typeof r.result!="string"&&e(new Error("bufferToImage - expected reader.result to be a string, in onload"));let n=P.getEnv().createImageElement();n.onload=()=>t(n),n.onerror=e,n.src=r.result},r.onerror=e,r.readAsDataURL(o)})}function Xt(o){let{Image:t,Video:e}=P.getEnv();return o instanceof t?new k(o.naturalWidth,o.naturalHeight):o instanceof e?new k(o.videoWidth,o.videoHeight):new k(o.width,o.height)}function Jt({width:o,height:t}){let{createCanvasElement:e}=P.getEnv(),r=e();return r.width=o,r.height=t,r}function We(o,t){let{ImageData:e}=P.getEnv();if(!(o instanceof e)&&!Ae(o))throw new Error("createCanvasFromMedia - media has not finished loading yet");let{width:r,height:n}=t||Xt(o),a=Jt({width:r,height:n});return o instanceof e?O(a).putImageData(o,0,0):O(a).drawImage(o,0,0,r,n),a}var sr=v(x());async function to(o,t){let e=t||P.getEnv().createCanvasElement(),[r,n,a]=o.shape.slice(U(o)?1:0),s=sr.tidy(()=>o.as3D(r,n,a).toInt());return await sr.browser.toPixels(s,e),s.dispose(),e}function ir(o){let{Image:t,Canvas:e,Video:r}=P.getEnv();return o instanceof t||o instanceof e||o instanceof r}var V=v(x());function eo(o,t,e=!1){let{Image:r,Canvas:n}=P.getEnv();if(!(o instanceof r||o instanceof n))throw new Error("imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement");if(t<=0)return Jt({width:1,height:1});let a=Xt(o),s=t/Math.max(a.height,a.width),i=s*a.width,c=s*a.height,m=Jt({width:t,height:t}),p=o instanceof n?o:We(o),u=Math.abs(i-c)/2,f=e&&i0&&p.height>0&&O(m).drawImage(p,f,l,i,c),m}var ut=class{constructor(t,e=!1){this._imageTensors=[];this._canvases=[];this._treatAsBatchInput=!1;this._inputDimensions=[];this._inputSize=0;if(!Array.isArray(t))throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${t}`);this._treatAsBatchInput=e,this._batchSize=t.length,t.forEach((r,n)=>{if(ht(r)){this._imageTensors[n]=r,this._inputDimensions[n]=r.shape;return}if(U(r)){let s=r.shape[0];if(s!==1)throw new Error(`NetInput - tf.Tensor4D with batchSize ${s} passed, but not supported in input array`);this._imageTensors[n]=r,this._inputDimensions[n]=r.shape.slice(1);return}let a=r instanceof P.getEnv().Canvas?r:We(r);this._canvases[n]=a,this._inputDimensions[n]=[a.height,a.width,3]})}get imageTensors(){return this._imageTensors}get canvases(){return this._canvases}get isBatchInput(){return this.batchSize>1||this._treatAsBatchInput}get batchSize(){return this._batchSize}get inputDimensions(){return this._inputDimensions}get inputSize(){return this._inputSize}get reshapedInputDimensions(){return it(this.batchSize,0,1).map((t,e)=>this.getReshapedInputDimensions(e))}getInput(t){return this.canvases[t]||this.imageTensors[t]}getInputDimensions(t){return this._inputDimensions[t]}getInputHeight(t){return this._inputDimensions[t][0]}getInputWidth(t){return this._inputDimensions[t][1]}getReshapedInputDimensions(t){if(typeof this.inputSize!="number")throw new Error("getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet");let e=this.getInputWidth(t),r=this.getInputHeight(t);return Rr({width:e,height:r},this.inputSize)}toBatchTensor(t,e=!0){return this._inputSize=t,V.tidy(()=>{let r=it(this.batchSize,0,1).map(a=>{let s=this.getInput(a);if(s instanceof V.Tensor){let i=U(s)?s:V.expandDims(s);return i=Vr(i,e),(i.shape[1]!==t||i.shape[2]!==t)&&(i=V.image.resizeBilinear(i,[t,t],!1,!1)),i.as3D(t,t,3)}if(s instanceof P.getEnv().Canvas)return V.browser.fromPixels(eo(s,t,e));throw new Error(`toBatchTensor - at batchIdx ${a}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${s}`)});return V.stack(r.map(a=>V.cast(a,"float32"))).as4D(this.batchSize,t,t,3)})}};async function C(o){if(o instanceof ut)return o;let t=Array.isArray(o)?o:[o];if(!t.length)throw new Error("toNetInput - empty array passed as input");let e=n=>Array.isArray(o)?` at input index ${n}:`:"",r=t.map(Ut);return r.forEach((n,a)=>{if(!ir(n)&&!ht(n)&&!U(n))throw typeof t[a]=="string"?new Error(`toNetInput -${e(a)} string passed, but could not resolve HTMLElement for element id ${t[a]}`):new Error(`toNetInput -${e(a)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);if(U(n)){let s=n.shape[0];if(s!==1)throw new Error(`toNetInput -${e(a)} tf.Tensor4D with batchSize ${s} passed, but not supported in input array`)}}),await Promise.all(r.map(n=>ir(n)&&Kr(n))),new ut(r,Array.isArray(o))}async function le(o,t){let{Canvas:e}=P.getEnv(),r=o;if(!(o instanceof e)){let s=await C(o);if(s.batchSize>1)throw new Error("extractFaces - batchSize > 1 not supported");let i=s.getInput(0);r=i instanceof e?i:await to(i)}let n=O(r);return t.map(s=>s instanceof M?s.forSize(r.width,r.height).box.floor():s).map(s=>s.clipAtImageBorders(r.width,r.height)).map(({x:s,y:i,width:c,height:m})=>{let p=Jt({width:c,height:m});return c>0&&m>0&&O(p).putImageData(n.getImageData(s,i,c,m),0,0),p})}var cr=v(x());async function de(o,t){if(!ht(o)&&!U(o))throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");if(U(o)&&o.shape[0]>1)throw new Error("extractFaceTensors - batchSize > 1 not supported");return cr.tidy(()=>{let[e,r,n]=o.shape.slice(U(o)?1:0);return t.map(i=>i instanceof M?i.forSize(r,e).box:i).map(i=>i.clipAtImageBorders(r,e)).filter(i=>i.width>0&&i.height>0).map(({x:i,y:c,width:m,height:p})=>cr.slice3d(o.as3D(e,r,n),[c,i,0],[p,m,n]))})}async function xt(o,t){let{fetch:e}=P.getEnv(),r=await e(o,t);if(!(r.status<400))throw new Error(`failed to fetch: (${r.status}) ${r.statusText}, from url: ${r.url}`);return r}async function An(o){let t=await xt(o),e=await t.blob();if(!e.type.startsWith("image/"))throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${e.type}, for url: ${t.url}`);return Qr(e)}async function ro(o){return(await xt(o)).json()}async function Wn(o){return new Float32Array(await(await xt(o)).arrayBuffer())}function wo(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToVideo - expected buf to be of type: Blob"));let r=P.getEnv().createVideoElement();r.oncanplay=()=>t(r),r.onerror=e,r.playsInline=!0,r.muted=!0,r.src=URL.createObjectURL(o),r.play()})}async function kn(o){let t=await xt(o),e=await t.blob();if(!e.type.startsWith("video/"))throw new Error(`fetchVideo - expected blob type to be of type video/*, instead have: ${e.type}, for url: ${t.url}`);return wo(e)}var Fo=v(x());function mr(o,t){let e=`${t}-weights_manifest.json`;if(!o)return{modelBaseUri:"",manifestUri:e};if(o==="/")return{modelBaseUri:"/",manifestUri:`/${e}`};let r=o.startsWith("http://")?"http://":o.startsWith("https://")?"https://":"";o=o.replace(r,"");let n=o.split("/").filter(i=>i),a=o.endsWith(".json")?n[n.length-1]:e,s=r+(o.endsWith(".json")?n.slice(0,n.length-1):n).join("/");return s=o.startsWith("/")?`/${s}`:s,{modelBaseUri:s,manifestUri:s==="/"?`/${a}`:`${s}/${a}`}}async function oo(o,t){let{manifestUri:e,modelBaseUri:r}=mr(o,t),n=await ro(e);return Fo.io.loadWeights(n,r)}function Bn(o,t,e=!1){let{width:r,height:n}=e?Xt(t):t;return o.width=r,o.height=n,{width:r,height:n}}var ye=v(x());var vt=v(x());var A=class{constructor(t){this._params=void 0;this._paramMappings=[];this._name=t}get params(){return this._params}get paramMappings(){return this._paramMappings}get isLoaded(){return!!this.params}getParamFromPath(t){let{obj:e,objProp:r}=this.traversePropertyPath(t);return e[r]}reassignParamFromPath(t,e){let{obj:r,objProp:n}=this.traversePropertyPath(t);r[n].dispose(),r[n]=e}getParamList(){return this._paramMappings.map(({paramPath:t})=>({path:t,tensor:this.getParamFromPath(t)}))}getTrainableParams(){return this.getParamList().filter(t=>t.tensor instanceof vt.Variable)}getFrozenParams(){return this.getParamList().filter(t=>!(t.tensor instanceof vt.Variable))}variable(){this.getFrozenParams().forEach(({path:t,tensor:e})=>{this.reassignParamFromPath(t,e.variable())})}freeze(){this.getTrainableParams().forEach(({path:t,tensor:e})=>{let r=vt.tensor(e.dataSync());e.dispose(),this.reassignParamFromPath(t,r)})}dispose(t=!0){this.getParamList().forEach(e=>{if(t&&e.tensor.isDisposed)throw new Error(`param tensor has already been disposed for path ${e.path}`);e.tensor.dispose()}),this._params=void 0}serializeParams(){return new Float32Array(this.getParamList().map(({tensor:t})=>Array.from(t.dataSync())).reduce((t,e)=>t.concat(e)))}async load(t){if(t instanceof Float32Array){this.extractWeights(t);return}await this.loadFromUri(t)}async loadFromUri(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromUri - expected model uri`);let e=await oo(t,this.getDefaultModelName());this.loadFromWeightMap(e)}async loadFromDisk(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromDisk - expected model file path`);let{readFile:e}=P.getEnv(),{manifestUri:r,modelBaseUri:n}=mr(t,this.getDefaultModelName()),a=m=>Promise.all(m.map(p=>e(p).then(u=>u.buffer))),s=vt.io.weightsLoaderFactory(a),i=JSON.parse((await e(r)).toString()),c=await s(i,n);this.loadFromWeightMap(c)}loadFromWeightMap(t){let{paramMappings:e,params:r}=this.extractParamsFromWeightMap(t);this._paramMappings=e,this._params=r}extractWeights(t){let{paramMappings:e,params:r}=this.extractParams(t);this._paramMappings=e,this._params=r}traversePropertyPath(t){if(!this.params)throw new Error("traversePropertyPath - model has no loaded params");let e=t.split("/").reduce((a,s)=>{if(!a.nextObj.hasOwnProperty(s))throw new Error(`traversePropertyPath - object does not have property ${s}, for path ${t}`);return{obj:a.nextObj,objProp:s,nextObj:a.nextObj[s]}},{nextObj:this.params}),{obj:r,objProp:n}=e;if(!r||!n||!(r[n]instanceof vt.Tensor))throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${t}`);return{obj:r,objProp:n}}};var I=v(x());var he=v(x());function H(o,t,e){return he.tidy(()=>{let r=he.separableConv2d(o,t.depthwise_filter,t.pointwise_filter,e,"same");return r=he.add(r,t.bias),r})}function pr(o,t,e=!1){return I.tidy(()=>{let r=I.relu(e?I.add(I.conv2d(o,t.conv0.filters,[2,2],"same"),t.conv0.bias):H(o,t.conv0,[2,2])),n=H(r,t.conv1,[1,1]),a=I.relu(I.add(r,n)),s=H(a,t.conv2,[1,1]);return I.relu(I.add(r,I.add(n,s)))})}function ke(o,t,e=!1,r=!0){return I.tidy(()=>{let n=I.relu(e?I.add(I.conv2d(o,t.conv0.filters,r?[2,2]:[1,1],"same"),t.conv0.bias):H(o,t.conv0,r?[2,2]:[1,1])),a=H(n,t.conv1,[1,1]),s=I.relu(I.add(n,a)),i=H(s,t.conv2,[1,1]),c=I.relu(I.add(n,I.add(a,i))),m=H(c,t.conv3,[1,1]);return I.relu(I.add(n,I.add(a,I.add(i,m))))})}var It=v(x());function qt(o,t,e="same",r=!1){return It.tidy(()=>{let n=It.add(It.conv2d(o,t.filters,[1,1],e),t.bias);return r?It.relu(n):n})}function B(o,t){Object.keys(o).forEach(e=>{t.some(r=>r.originalPath===e)||o[e].dispose()})}var ur=v(x());function be(o,t){return(e,r,n,a)=>{let s=ur.tensor4d(o(e*r*n*n),[n,n,e,r]),i=ur.tensor1d(o(r));return t.push({paramPath:`${a}/filters`},{paramPath:`${a}/bias`}),{filters:s,bias:i}}}var fr=v(x());function lr(o,t){return(e,r,n)=>{let a=fr.tensor2d(o(e*r),[e,r]),s=fr.tensor1d(o(r));return t.push({paramPath:`${n}/weights`},{paramPath:`${n}/bias`}),{weights:a,bias:s}}}var Re=v(x());var Be=class{constructor(t,e,r){this.depthwise_filter=t;this.pointwise_filter=e;this.bias=r}};function ge(o,t){return(e,r,n)=>{let a=Re.tensor4d(o(9*e),[3,3,e,1]),s=Re.tensor4d(o(e*r),[1,1,e,r]),i=Re.tensor1d(o(r));return t.push({paramPath:`${n}/depthwise_filter`},{paramPath:`${n}/pointwise_filter`},{paramPath:`${n}/bias`}),new Be(a,s,i)}}function xe(o){return t=>{let e=o(`${t}/depthwise_filter`,4),r=o(`${t}/pointwise_filter`,4),n=o(`${t}/bias`,1);return new Be(e,r,n)}}function Y(o,t){return(e,r,n)=>{let a=o[e];if(!Ot(a,r))throw new Error(`expected weightMap[${e}] to be a Tensor${r}D, instead have ${a}`);return t.push({originalPath:e,paramPath:n||e}),a}}function R(o){let t=o;function e(n){let a=t.slice(0,n);return t=t.slice(n),a}function r(){return t}return{extractWeights:e,getRemainingWeights:r}}function dr(o,t){let e=be(o,t),r=ge(o,t);function n(s,i,c,m=!1){let p=m?e(s,i,3,`${c}/conv0`):r(s,i,`${c}/conv0`),u=r(i,i,`${c}/conv1`),f=r(i,i,`${c}/conv2`);return{conv0:p,conv1:u,conv2:f}}function a(s,i,c,m=!1){let{conv0:p,conv1:u,conv2:f}=n(s,i,c,m),l=r(i,i,`${c}/conv3`);return{conv0:p,conv1:u,conv2:f,conv3:l}}return{extractDenseBlock3Params:n,extractDenseBlock4Params:a}}function Do(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractDenseBlock4Params:n}=dr(e,t),a=n(3,32,"dense0",!0),s=n(32,64,"dense1"),i=n(64,128,"dense2"),c=n(128,256,"dense3");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:a,dense1:s,dense2:i,dense3:c}}}function hr(o){return t=>{let e=o(`${t}/filters`,4),r=o(`${t}/bias`,1);return{filters:e,bias:r}}}function br(o,t){let e=Y(o,t),r=hr(e),n=xe(e);function a(i,c=!1){let m=c?r(`${i}/conv0`):n(`${i}/conv0`),p=n(`${i}/conv1`),u=n(`${i}/conv2`);return{conv0:m,conv1:p,conv2:u}}function s(i,c=!1){let m=c?r(`${i}/conv0`):n(`${i}/conv0`),p=n(`${i}/conv1`),u=n(`${i}/conv2`),f=n(`${i}/conv3`);return{conv0:m,conv1:p,conv2:u,conv3:f}}return{extractDenseBlock3Params:a,extractDenseBlock4Params:s}}function Eo(o){let t=[],{extractDenseBlock4Params:e}=br(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2"),dense3:e("dense3")};return B(o,t),{params:r,paramMappings:t}}var ve=class extends A{constructor(){super("FaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceFeatureExtractor - load model before inference");return ye.tidy(()=>{let r=ye.cast(t.toBatchTensor(112,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=ke(a,e.dense0,!0);return s=ke(s,e.dense1),s=ke(s,e.dense2),s=ke(s,e.dense3),s=ye.avgPool(s,[7,7],[2,2],"valid"),s})}async forward(t){return this.forwardInput(await C(t))}getDefaultModelName(){return"face_feature_extractor_model"}extractParamsFromWeightMap(t){return Eo(t)}extractParams(t){return Do(t)}};var Io=v(x());var _e=v(x());function $e(o,t){return _e.tidy(()=>_e.add(_e.matMul(o,t.weights),t.bias))}function Mo(o,t,e){let r=[],{extractWeights:n,getRemainingWeights:a}=R(o),i=lr(n,r)(t,e,"fc");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:r,params:{fc:i}}}function Co(o){let t=[],e=Y(o,t);function r(a){let s=e(`${a}/weights`,2),i=e(`${a}/bias`,1);return{weights:s,bias:i}}let n={fc:r("fc")};return B(o,t),{params:n,paramMappings:t}}function gr(o){let t={},e={};return Object.keys(o).forEach(r=>{let n=r.startsWith("fc")?e:t;n[r]=o[r]}),{featureExtractorMap:t,classifierMap:e}}var Te=class extends A{constructor(e,r){super(e);this._faceFeatureExtractor=r}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return Io.tidy(()=>{let n=e instanceof ut?this.faceFeatureExtractor.forwardInput(e):e;return $e(n.as2D(n.shape[0],-1),r.fc)})}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:n}=this.extractClassifierParams(e);this._params=r,this._paramMappings=n}extractClassifierParams(e){return Mo(e,this.getClassifierChannelsIn(),this.getClassifierChannelsOut())}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:n}=gr(e);return this.faceFeatureExtractor.loadFromWeightMap(r),Co(n)}extractParams(e){let r=this.getClassifierChannelsIn(),n=this.getClassifierChannelsOut(),a=n*r+n,s=e.slice(0,e.length-a),i=e.slice(e.length-a);return this.faceFeatureExtractor.extractWeights(s),this.extractClassifierParams(i)}};var no=["neutral","happy","sad","angry","fearful","disgusted","surprised"],yt=class{constructor(t){this.neutral=0;this.happy=0;this.sad=0;this.angry=0;this.fearful=0;this.disgusted=0;this.surprised=0;if(t.length!==7)throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${t.length}`);no.forEach((e,r)=>{this[e]=t[r]})}asSortedArray(){return no.map(t=>({expression:t,probability:this[t]})).sort((t,e)=>e.probability-t.probability)}};var Oe=class extends Te{constructor(t=new ve){super("FaceExpressionNet",t)}forwardInput(t){return Pe.tidy(()=>Pe.softmax(this.runNet(t)))}async forward(t){return this.forwardInput(await C(t))}async predictExpressions(t){let e=await C(t),r=await this.forwardInput(e),n=await Promise.all(Pe.unstack(r).map(async s=>{let i=s.dataSync();return s.dispose(),i}));r.dispose();let a=n.map(s=>new yt(s));return e.isBatchInput?a:a[0]}getDefaultModelName(){return"face_expression_model"}getClassifierChannelsIn(){return 256}getClassifierChannelsOut(){return 7}};function ao(o){return o.expressions instanceof yt}function xr(o,t){return{...o,...{expressions:t}}}function Rn(o,t,e=.1,r){(Array.isArray(t)?t:[t]).forEach(a=>{let s=a instanceof yt?a:ao(a)?a.expressions:void 0;if(!s)throw new Error("drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof");let c=s.asSortedArray().filter(u=>u.probability>e),m=pt(a)?a.detection.box.bottomLeft:r||new b(0,0);new gt(c.map(u=>`${u.expression} (${Ht(u.probability)})`),m).draw(o)})}function Zt(o){return pt(o)&&o.landmarks instanceof z&&o.unshiftedLandmarks instanceof z&&o.alignedRect instanceof M}function $n(o){let t=(i,c,m,p)=>Math.atan2(p-c,m-i)%Math.PI,e=i=>i*180/Math.PI,r={roll:void 0,pitch:void 0,yaw:void 0};if(!o||!o._positions||o._positions.length!==68)return r;let n=o._positions;r.roll=-t(n[36]._x,n[36]._y,n[45]._x,n[45]._y),r.pitch=t(0,Math.abs(n[0]._x-n[30]._x)/n[30]._x,Math.PI,Math.abs(n[16]._x-n[30]._x)/n[30]._x);let a=n.reduce((i,c)=>ii>c._y?i:c._y,-1/0);return r.yaw=Math.PI*(o._imgDims._height/(s-a)/1.4-1),r}function we(o,t){let{box:e}=o.detection,r=t.shiftBy(e.x,e.y),n=r.align(),{imageDims:a}=o.detection,s=new M(o.detection.score,n.rescale(a.reverse()),a),i=$n(t);return{...o,...{landmarks:r,unshiftedLandmarks:t,alignedRect:s,angle:i}}}var vr=class{constructor(t={}){let{drawLines:e=!0,drawPoints:r=!0,lineWidth:n,lineColor:a,pointSize:s,pointColor:i}=t;this.drawLines=e,this.drawPoints=r,this.lineWidth=n||1,this.pointSize=s||2,this.lineColor=a||"rgba(0, 255, 255, 1)",this.pointColor=i||"rgba(255, 0, 255, 1)"}},yr=class{constructor(t,e={}){this.faceLandmarks=t,this.options=new vr(e)}draw(t){let e=O(t),{drawLines:r,drawPoints:n,lineWidth:a,lineColor:s,pointSize:i,pointColor:c}=this.options;if(r&&this.faceLandmarks instanceof Gt&&(e.strokeStyle=s,e.lineWidth=a,dt(e,this.faceLandmarks.getJawOutline()),dt(e,this.faceLandmarks.getLeftEyeBrow()),dt(e,this.faceLandmarks.getRightEyeBrow()),dt(e,this.faceLandmarks.getNose()),dt(e,this.faceLandmarks.getLeftEye(),!0),dt(e,this.faceLandmarks.getRightEye(),!0),dt(e,this.faceLandmarks.getMouth(),!0)),n){e.strokeStyle=c,e.fillStyle=c;let m=p=>{e.beginPath(),e.arc(p.x,p.y,i,0,2*Math.PI),e.fill()};this.faceLandmarks.positions.forEach(m)}}};function On(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let n=r instanceof z?r:Zt(r)?r.landmarks:void 0;if(!n)throw new Error("drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks> or array thereof");new yr(n).draw(o)})}var No="1.7.4";var ft=v(x());var S=v(x());function Vn(o,t){let e=be(o,t),r=ge(o,t);function n(s,i,c){let m=r(s,i,`${c}/separable_conv0`),p=r(i,i,`${c}/separable_conv1`),u=e(s,i,1,`${c}/expansion_conv`);return{separable_conv0:m,separable_conv1:p,expansion_conv:u}}function a(s,i){let c=r(s,s,`${i}/separable_conv0`),m=r(s,s,`${i}/separable_conv1`),p=r(s,s,`${i}/separable_conv2`);return{separable_conv0:c,separable_conv1:m,separable_conv2:p}}return{extractConvParams:e,extractSeparableConvParams:r,extractReductionBlockParams:n,extractMainBlockParams:a}}function So(o,t){let e=[],{extractWeights:r,getRemainingWeights:n}=R(o),{extractConvParams:a,extractSeparableConvParams:s,extractReductionBlockParams:i,extractMainBlockParams:c}=Vn(r,e),m=a(3,32,3,"entry_flow/conv_in"),p=i(32,64,"entry_flow/reduction_block_0"),u=i(64,128,"entry_flow/reduction_block_1"),f={conv_in:m,reduction_block_0:p,reduction_block_1:u},l={};it(t,0,1).forEach(h=>{l[`main_block_${h}`]=c(128,`middle_flow/main_block_${h}`)});let g=i(128,256,"exit_flow/reduction_block"),T=s(256,512,"exit_flow/separable_conv"),D={reduction_block:g,separable_conv:T};if(n().length!==0)throw new Error(`weights remaing after extract: ${n().length}`);return{paramMappings:e,params:{entry_flow:f,middle_flow:l,exit_flow:D}}}function Yn(o,t){let e=Y(o,t),r=hr(e),n=xe(e);function a(i){let c=n(`${i}/separable_conv0`),m=n(`${i}/separable_conv1`),p=r(`${i}/expansion_conv`);return{separable_conv0:c,separable_conv1:m,expansion_conv:p}}function s(i){let c=n(`${i}/separable_conv0`),m=n(`${i}/separable_conv1`),p=n(`${i}/separable_conv2`);return{separable_conv0:c,separable_conv1:m,separable_conv2:p}}return{extractConvParams:r,extractSeparableConvParams:n,extractReductionBlockParams:a,extractMainBlockParams:s}}function Lo(o,t){let e=[],{extractConvParams:r,extractSeparableConvParams:n,extractReductionBlockParams:a,extractMainBlockParams:s}=Yn(o,e),i=r("entry_flow/conv_in"),c=a("entry_flow/reduction_block_0"),m=a("entry_flow/reduction_block_1"),p={conv_in:i,reduction_block_0:c,reduction_block_1:m},u={};it(t,0,1).forEach(T=>{u[`main_block_${T}`]=s(`middle_flow/main_block_${T}`)});let f=a("exit_flow/reduction_block"),l=n("exit_flow/separable_conv"),g={reduction_block:f,separable_conv:l};return B(o,e),{params:{entry_flow:p,middle_flow:u,exit_flow:g},paramMappings:e}}function Ao(o,t,e){return S.add(S.conv2d(o,t.filters,e,"same"),t.bias)}function io(o,t,e=!0){let r=e?S.relu(o):o;return r=H(r,t.separable_conv0,[1,1]),r=H(S.relu(r),t.separable_conv1,[1,1]),r=S.maxPool(r,[3,3],[2,2],"same"),r=S.add(r,Ao(o,t.expansion_conv,[2,2])),r}function Gn(o,t){let e=H(S.relu(o),t.separable_conv0,[1,1]);return e=H(S.relu(e),t.separable_conv1,[1,1]),e=H(S.relu(e),t.separable_conv2,[1,1]),e=S.add(e,o),e}var _r=class extends A{constructor(e){super("TinyXception");this._numMainBlocks=e}forwardInput(e){let{params:r}=this;if(!r)throw new Error("TinyXception - load model before inference");return S.tidy(()=>{let n=S.cast(e.toBatchTensor(112,!0),"float32"),s=rt(n,[122.782,117.001,104.298]).div(255),i=S.relu(Ao(s,r.entry_flow.conv_in,[2,2]));return i=io(i,r.entry_flow.reduction_block_0,!1),i=io(i,r.entry_flow.reduction_block_1),it(this._numMainBlocks,0,1).forEach(c=>{i=Gn(i,r.middle_flow[`main_block_${c}`])}),i=io(i,r.exit_flow.reduction_block),i=S.relu(H(i,r.exit_flow.separable_conv,[1,1])),i})}async forward(e){return this.forwardInput(await C(e))}getDefaultModelName(){return"tiny_xception_model"}extractParamsFromWeightMap(e){return Lo(e,this._numMainBlocks)}extractParams(e){return So(e,this._numMainBlocks)}};function Wo(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),n=lr(e,t),a=n(512,1,"fc/age"),s=n(512,2,"fc/gender");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{fc:{age:a,gender:s}}}}function ko(o){let t=[],e=Y(o,t);function r(a){let s=e(`${a}/weights`,2),i=e(`${a}/bias`,1);return{weights:s,bias:i}}let n={fc:{age:r("fc/age"),gender:r("fc/gender")}};return B(o,t),{params:n,paramMappings:t}}var Tr=(e=>(e.FEMALE="female",e.MALE="male",e))(Tr||{});var He=class extends A{constructor(e=new _r(2)){super("AgeGenderNet");this._faceFeatureExtractor=e}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return ft.tidy(()=>{let n=e instanceof ut?this.faceFeatureExtractor.forwardInput(e):e,a=ft.avgPool(n,[7,7],[2,2],"valid").as2D(n.shape[0],-1),s=$e(a,r.fc.age).as1D(),i=$e(a,r.fc.gender);return{age:s,gender:i}})}forwardInput(e){return ft.tidy(()=>{let{age:r,gender:n}=this.runNet(e);return{age:r,gender:ft.softmax(n)}})}async forward(e){return this.forwardInput(await C(e))}async predictAgeAndGender(e){let r=await C(e),n=await this.forwardInput(r),a=ft.unstack(n.age),s=ft.unstack(n.gender),i=a.map((m,p)=>({ageTensor:m,genderTensor:s[p]})),c=await Promise.all(i.map(async({ageTensor:m,genderTensor:p})=>{let u=m.dataSync()[0],f=p.dataSync()[0],l=f>.5,g=l?"male":"female",T=l?f:1-f;return m.dispose(),p.dispose(),{age:u,gender:g,genderProbability:T}}));return n.age.dispose(),n.gender.dispose(),r.isBatchInput?c:c[0]}getDefaultModelName(){return"age_gender_model"}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:n}=this.extractClassifierParams(e);this._params=r,this._paramMappings=n}extractClassifierParams(e){return Wo(e)}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:n}=gr(e);return this.faceFeatureExtractor.loadFromWeightMap(r),ko(n)}extractParams(e){let n=e.slice(0,e.length-1539),a=e.slice(e.length-1539);return this.faceFeatureExtractor.extractWeights(n),this.extractClassifierParams(a)}};var G=v(x());var Fe=class extends Te{postProcess(t,e,r){let n=r.map(({width:s,height:i})=>{let c=e/Math.max(i,s);return{width:s*c,height:i*c}}),a=n.length;return G.tidy(()=>{let s=(u,f)=>G.stack([G.fill([68],u,"float32"),G.fill([68],f,"float32")],1).as2D(1,136).as1D(),i=(u,f)=>{let{width:l,height:g}=n[u];return f(l,g)?Math.abs(l-g)/2:0},c=u=>i(u,(f,l)=>fi(u,(f,l)=>ls(c(f),m(f))))).div(G.stack(Array.from(Array(a),(u,f)=>s(n[f].width,n[f].height))))})}forwardInput(t){return G.tidy(()=>{let e=this.runNet(t);return this.postProcess(e,t.inputSize,t.inputDimensions.map(([r,n])=>({height:r,width:n})))})}async forward(t){return this.forwardInput(await C(t))}async detectLandmarks(t){let e=await C(t),r=G.tidy(()=>G.unstack(this.forwardInput(e))),n=await Promise.all(r.map(async(a,s)=>{let i=Array.from(a.dataSync()),c=i.filter((p,u)=>rr(u)),m=i.filter((p,u)=>!rr(u));return new Gt(Array(68).fill(0).map((p,u)=>new b(c[u],m[u])),{height:e.getInputHeight(s),width:e.getInputWidth(s)})}));return r.forEach(a=>a.dispose()),e.isBatchInput?n:n[0]}getClassifierChannelsOut(){return 136}};var Kt=class extends Fe{constructor(t=new ve){super("FaceLandmark68Net",t)}getDefaultModelName(){return"face_landmark_68_model"}getClassifierChannelsIn(){return 256}};var De=v(x());function Bo(o){let t=[],{extractDenseBlock3Params:e}=br(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2")};return B(o,t),{params:r,paramMappings:t}}function Ro(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractDenseBlock3Params:n}=dr(e,t),a=n(3,32,"dense0",!0),s=n(32,64,"dense1"),i=n(64,128,"dense2");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:a,dense1:s,dense2:i}}}var Pr=class extends A{constructor(){super("TinyFaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("TinyFaceFeatureExtractor - load model before inference");return De.tidy(()=>{let r=De.cast(t.toBatchTensor(112,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=pr(a,e.dense0,!0);return s=pr(s,e.dense1),s=pr(s,e.dense2),s=De.avgPool(s,[14,14],[2,2],"valid"),s})}async forward(t){return this.forwardInput(await C(t))}getDefaultModelName(){return"face_feature_extractor_tiny_model"}extractParamsFromWeightMap(t){return Bo(t)}extractParams(t){return Ro(t)}};var ze=class extends Fe{constructor(t=new Pr){super("FaceLandmark68TinyNet",t)}getDefaultModelName(){return"face_landmark_68_tiny_model"}getClassifierChannelsIn(){return 128}};var co=class extends Kt{};var nt=v(x());var Ee=v(x());var wr=v(x());function $o(o,t){return wr.add(wr.mul(o,t.weights),t.biases)}function mo(o,t,e,r,n="same"){let{filters:a,bias:s}=t.conv,i=Ee.conv2d(o,a,e,n);return i=Ee.add(i,s),i=$o(i,t.scale),r?Ee.relu(i):i}function Oo(o,t){return mo(o,t,[1,1],!0)}function po(o,t){return mo(o,t,[1,1],!1)}function Fr(o,t){return mo(o,t,[2,2],!0,"valid")}var j=v(x());function jn(o,t){function e(i,c,m){let p=o(i),u=p.length/(c*m*m);if(Br(u))throw new Error(`depth has to be an integer: ${u}, weights.length: ${p.length}, numFilters: ${c}, filterSize: ${m}`);return j.tidy(()=>j.transpose(j.tensor4d(p,[c,u,m,m]),[2,3,1,0]))}function r(i,c,m,p){let u=e(i,c,m),f=j.tensor1d(o(c));return t.push({paramPath:`${p}/filters`},{paramPath:`${p}/bias`}),{filters:u,bias:f}}function n(i,c){let m=j.tensor1d(o(i)),p=j.tensor1d(o(i));return t.push({paramPath:`${c}/weights`},{paramPath:`${c}/biases`}),{weights:m,biases:p}}function a(i,c,m,p){let u=r(i,c,m,`${p}/conv`),f=n(c,`${p}/scale`);return{conv:u,scale:f}}function s(i,c,m,p,u=!1){let f=a((u?.5:1)*i,c,m,`${p}/conv1`),l=a(i,c,m,`${p}/conv2`);return{conv1:f,conv2:l}}return{extractConvLayerParams:a,extractResidualLayerParams:s}}function Ho(o){let{extractWeights:t,getRemainingWeights:e}=R(o),r=[],{extractConvLayerParams:n,extractResidualLayerParams:a}=jn(t,r),s=n(4704,32,7,"conv32_down"),i=a(9216,32,3,"conv32_1"),c=a(9216,32,3,"conv32_2"),m=a(9216,32,3,"conv32_3"),p=a(36864,64,3,"conv64_down",!0),u=a(36864,64,3,"conv64_1"),f=a(36864,64,3,"conv64_2"),l=a(36864,64,3,"conv64_3"),g=a(147456,128,3,"conv128_down",!0),T=a(147456,128,3,"conv128_1"),D=a(147456,128,3,"conv128_2"),h=a(589824,256,3,"conv256_down",!0),_=a(589824,256,3,"conv256_1"),y=a(589824,256,3,"conv256_2"),E=a(589824,256,3,"conv256_down_out"),W=j.tidy(()=>j.transpose(j.tensor2d(t(256*128),[128,256]),[1,0]));if(r.push({paramPath:"fc"}),e().length!==0)throw new Error(`weights remaing after extract: ${e().length}`);return{params:{conv32_down:s,conv32_1:i,conv32_2:c,conv32_3:m,conv64_down:p,conv64_1:u,conv64_2:f,conv64_3:l,conv128_down:g,conv128_1:T,conv128_2:D,conv256_down:h,conv256_1:_,conv256_2:y,conv256_down_out:E,fc:W},paramMappings:r}}function Un(o,t){let e=Y(o,t);function r(s){let i=e(`${s}/scale/weights`,1),c=e(`${s}/scale/biases`,1);return{weights:i,biases:c}}function n(s){let i=e(`${s}/conv/filters`,4),c=e(`${s}/conv/bias`,1),m=r(s);return{conv:{filters:i,bias:c},scale:m}}function a(s){return{conv1:n(`${s}/conv1`),conv2:n(`${s}/conv2`)}}return{extractConvLayerParams:n,extractResidualLayerParams:a}}function zo(o){let t=[],{extractConvLayerParams:e,extractResidualLayerParams:r}=Un(o,t),n=e("conv32_down"),a=r("conv32_1"),s=r("conv32_2"),i=r("conv32_3"),c=r("conv64_down"),m=r("conv64_1"),p=r("conv64_2"),u=r("conv64_3"),f=r("conv128_down"),l=r("conv128_1"),g=r("conv128_2"),T=r("conv256_down"),D=r("conv256_1"),h=r("conv256_2"),_=r("conv256_down_out"),{fc:y}=o;if(t.push({originalPath:"fc",paramPath:"fc"}),!kr(y))throw new Error(`expected weightMap[fc] to be a Tensor2D, instead have ${y}`);let E={conv32_down:n,conv32_1:a,conv32_2:s,conv32_3:i,conv64_down:c,conv64_1:m,conv64_2:p,conv64_3:u,conv128_down:f,conv128_1:l,conv128_2:g,conv256_down:T,conv256_1:D,conv256_2:h,conv256_down_out:_,fc:y};return B(o,t),{params:E,paramMappings:t}}var $=v(x());function ot(o,t){let e=Oo(o,t.conv1);return e=po(e,t.conv2),e=$.add(e,o),e=$.relu(e),e}function Ve(o,t){let e=Fr(o,t.conv1);e=po(e,t.conv2);let r=$.avgPool(o,2,2,"valid"),n=$.zeros(r.shape),a=r.shape[3]!==e.shape[3];if(r.shape[1]!==e.shape[1]||r.shape[2]!==e.shape[2]){let i=[...e.shape];i[1]=1;let c=$.zeros(i);e=$.concat([e,c],1);let m=[...e.shape];m[2]=1;let p=$.zeros(m);e=$.concat([e,p],2)}return r=a?$.concat([r,n],3):r,e=$.add(r,e),e=$.relu(e),e}var Qt=class extends A{constructor(){super("FaceRecognitionNet")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceRecognitionNet - load model before inference");return nt.tidy(()=>{let r=nt.cast(t.toBatchTensor(150,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=Fr(a,e.conv32_down);s=nt.maxPool(s,3,2,"valid"),s=ot(s,e.conv32_1),s=ot(s,e.conv32_2),s=ot(s,e.conv32_3),s=Ve(s,e.conv64_down),s=ot(s,e.conv64_1),s=ot(s,e.conv64_2),s=ot(s,e.conv64_3),s=Ve(s,e.conv128_down),s=ot(s,e.conv128_1),s=ot(s,e.conv128_2),s=Ve(s,e.conv256_down),s=ot(s,e.conv256_1),s=ot(s,e.conv256_2),s=Ve(s,e.conv256_down_out);let i=s.mean([1,2]);return nt.matMul(i,e.fc)})}async forward(t){return this.forwardInput(await C(t))}async computeFaceDescriptor(t){var a;if((a=t==null?void 0:t.shape)!=null&&a.some(s=>s<=0))return new Float32Array(128);let e=await C(t),r=nt.tidy(()=>nt.unstack(this.forwardInput(e))),n=await Promise.all(r.map(s=>s.data()));return r.forEach(s=>s.dispose()),e.isBatchInput?n:n[0]}getDefaultModelName(){return"face_recognition_model"}extractParamsFromWeightMap(t){return zo(t)}extractParams(t){return Ho(t)}};function Xn(o){let t=new Qt;return t.extractWeights(o),t}function Dr(o,t){return{...o,...{descriptor:t}}}function Jn(o){return typeof o.age=="number"}function Er(o,t){return{...o,...{age:t}}}function qn(o){return(o.gender==="male"||o.gender==="female")&&me(o.genderProbability)}function Mr(o,t,e){return{...o,...{gender:t,genderProbability:e}}}var Lt=v(x());var at=v(x());function Zn(o,t){function e(c,m){let p=at.tensor4d(o(9*c),[3,3,c,1]),u=at.tensor1d(o(c)),f=at.tensor1d(o(c)),l=at.tensor1d(o(c)),g=at.tensor1d(o(c));return t.push({paramPath:`${m}/filters`},{paramPath:`${m}/batch_norm_scale`},{paramPath:`${m}/batch_norm_offset`},{paramPath:`${m}/batch_norm_mean`},{paramPath:`${m}/batch_norm_variance`}),{filters:p,batch_norm_scale:u,batch_norm_offset:f,batch_norm_mean:l,batch_norm_variance:g}}function r(c,m,p,u,f){let l=at.tensor4d(o(c*m*p*p),[p,p,c,m]),g=at.tensor1d(o(m));return t.push({paramPath:`${u}/filters`},{paramPath:`${u}/${f?"batch_norm_offset":"bias"}`}),{filters:l,bias:g}}function n(c,m,p,u){let{filters:f,bias:l}=r(c,m,p,u,!0);return{filters:f,batch_norm_offset:l}}function a(c,m,p){let u=e(c,`${p}/depthwise_conv`),f=n(c,m,1,`${p}/pointwise_conv`);return{depthwise_conv:u,pointwise_conv:f}}function s(){let c=n(3,32,3,"mobilenetv1/conv_0"),m=a(32,64,"mobilenetv1/conv_1"),p=a(64,128,"mobilenetv1/conv_2"),u=a(128,128,"mobilenetv1/conv_3"),f=a(128,256,"mobilenetv1/conv_4"),l=a(256,256,"mobilenetv1/conv_5"),g=a(256,512,"mobilenetv1/conv_6"),T=a(512,512,"mobilenetv1/conv_7"),D=a(512,512,"mobilenetv1/conv_8"),h=a(512,512,"mobilenetv1/conv_9"),_=a(512,512,"mobilenetv1/conv_10"),y=a(512,512,"mobilenetv1/conv_11"),E=a(512,1024,"mobilenetv1/conv_12"),W=a(1024,1024,"mobilenetv1/conv_13");return{conv_0:c,conv_1:m,conv_2:p,conv_3:u,conv_4:f,conv_5:l,conv_6:g,conv_7:T,conv_8:D,conv_9:h,conv_10:_,conv_11:y,conv_12:E,conv_13:W}}function i(){let c=n(1024,256,1,"prediction_layer/conv_0"),m=n(256,512,3,"prediction_layer/conv_1"),p=n(512,128,1,"prediction_layer/conv_2"),u=n(128,256,3,"prediction_layer/conv_3"),f=n(256,128,1,"prediction_layer/conv_4"),l=n(128,256,3,"prediction_layer/conv_5"),g=n(256,64,1,"prediction_layer/conv_6"),T=n(64,128,3,"prediction_layer/conv_7"),D=r(512,12,1,"prediction_layer/box_predictor_0/box_encoding_predictor"),h=r(512,9,1,"prediction_layer/box_predictor_0/class_predictor"),_=r(1024,24,1,"prediction_layer/box_predictor_1/box_encoding_predictor"),y=r(1024,18,1,"prediction_layer/box_predictor_1/class_predictor"),E=r(512,24,1,"prediction_layer/box_predictor_2/box_encoding_predictor"),W=r(512,18,1,"prediction_layer/box_predictor_2/class_predictor"),tt=r(256,24,1,"prediction_layer/box_predictor_3/box_encoding_predictor"),lt=r(256,18,1,"prediction_layer/box_predictor_3/class_predictor"),q=r(256,24,1,"prediction_layer/box_predictor_4/box_encoding_predictor"),Dt=r(256,18,1,"prediction_layer/box_predictor_4/class_predictor"),Et=r(128,24,1,"prediction_layer/box_predictor_5/box_encoding_predictor"),Mt=r(128,18,1,"prediction_layer/box_predictor_5/class_predictor");return{conv_0:c,conv_1:m,conv_2:p,conv_3:u,conv_4:f,conv_5:l,conv_6:g,conv_7:T,box_predictor_0:{box_encoding_predictor:D,class_predictor:h},box_predictor_1:{box_encoding_predictor:_,class_predictor:y},box_predictor_2:{box_encoding_predictor:E,class_predictor:W},box_predictor_3:{box_encoding_predictor:tt,class_predictor:lt},box_predictor_4:{box_encoding_predictor:q,class_predictor:Dt},box_predictor_5:{box_encoding_predictor:Et,class_predictor:Mt}}}return{extractMobilenetV1Params:s,extractPredictionLayerParams:i}}function Vo(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractMobilenetV1Params:n,extractPredictionLayerParams:a}=Zn(e,t),s=n(),i=a(),m={extra_dim:at.tensor3d(e(5118*4),[1,5118,4])};if(t.push({paramPath:"output_layer/extra_dim"}),r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{params:{mobilenetv1:s,prediction_layer:i,output_layer:m},paramMappings:t}}function Kn(o,t){let e=Y(o,t);function r(m,p,u){let f=e(`${m}/Conv2d_${p}_pointwise/weights`,4,`${u}/filters`),l=e(`${m}/Conv2d_${p}_pointwise/convolution_bn_offset`,1,`${u}/batch_norm_offset`);return{filters:f,batch_norm_offset:l}}function n(m){let p=`mobilenetv1/conv_${m}`,u=`MobilenetV1/Conv2d_${m}_depthwise`,f=`${p}/depthwise_conv`,l=`${p}/pointwise_conv`,g=e(`${u}/depthwise_weights`,4,`${f}/filters`),T=e(`${u}/BatchNorm/gamma`,1,`${f}/batch_norm_scale`),D=e(`${u}/BatchNorm/beta`,1,`${f}/batch_norm_offset`),h=e(`${u}/BatchNorm/moving_mean`,1,`${f}/batch_norm_mean`),_=e(`${u}/BatchNorm/moving_variance`,1,`${f}/batch_norm_variance`);return{depthwise_conv:{filters:g,batch_norm_scale:T,batch_norm_offset:D,batch_norm_mean:h,batch_norm_variance:_},pointwise_conv:r("MobilenetV1",m,l)}}function a(){return{conv_0:r("MobilenetV1",0,"mobilenetv1/conv_0"),conv_1:n(1),conv_2:n(2),conv_3:n(3),conv_4:n(4),conv_5:n(5),conv_6:n(6),conv_7:n(7),conv_8:n(8),conv_9:n(9),conv_10:n(10),conv_11:n(11),conv_12:n(12),conv_13:n(13)}}function s(m,p){let u=e(`${m}/weights`,4,`${p}/filters`),f=e(`${m}/biases`,1,`${p}/bias`);return{filters:u,bias:f}}function i(m){let p=s(`Prediction/BoxPredictor_${m}/BoxEncodingPredictor`,`prediction_layer/box_predictor_${m}/box_encoding_predictor`),u=s(`Prediction/BoxPredictor_${m}/ClassPredictor`,`prediction_layer/box_predictor_${m}/class_predictor`);return{box_encoding_predictor:p,class_predictor:u}}function c(){return{conv_0:r("Prediction",0,"prediction_layer/conv_0"),conv_1:r("Prediction",1,"prediction_layer/conv_1"),conv_2:r("Prediction",2,"prediction_layer/conv_2"),conv_3:r("Prediction",3,"prediction_layer/conv_3"),conv_4:r("Prediction",4,"prediction_layer/conv_4"),conv_5:r("Prediction",5,"prediction_layer/conv_5"),conv_6:r("Prediction",6,"prediction_layer/conv_6"),conv_7:r("Prediction",7,"prediction_layer/conv_7"),box_predictor_0:i(0),box_predictor_1:i(1),box_predictor_2:i(2),box_predictor_3:i(3),box_predictor_4:i(4),box_predictor_5:i(5)}}return{extractMobilenetV1Params:a,extractPredictionLayerParams:c}}function Yo(o){let t=[],{extractMobilenetV1Params:e,extractPredictionLayerParams:r}=Kn(o,t),n=o["Output/extra_dim"];if(t.push({originalPath:"Output/extra_dim",paramPath:"output_layer/extra_dim"}),!ht(n))throw new Error(`expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have ${n}`);let a={mobilenetv1:e(),prediction_layer:r(),output_layer:{extra_dim:n}};return B(o,t),{params:a,paramMappings:t}}var _t=v(x());var Nt=v(x());function Z(o,t,e){return Nt.tidy(()=>{let r=Nt.conv2d(o,t.filters,e,"same");return r=Nt.add(r,t.batch_norm_offset),Nt.clipByValue(r,0,6)})}var Qn=.0010000000474974513;function ta(o,t,e){return _t.tidy(()=>{let r=_t.depthwiseConv2d(o,t.filters,e,"same");return r=_t.batchNorm(r,t.batch_norm_mean,t.batch_norm_variance,t.batch_norm_offset,t.batch_norm_scale,Qn),_t.clipByValue(r,0,6)})}function ea(o){return[2,4,6,12].some(t=>t===o)?[2,2]:[1,1]}function Go(o,t){return _t.tidy(()=>{let e,r=Z(o,t.conv_0,[2,2]);if([t.conv_1,t.conv_2,t.conv_3,t.conv_4,t.conv_5,t.conv_6,t.conv_7,t.conv_8,t.conv_9,t.conv_10,t.conv_11,t.conv_12,t.conv_13].forEach((a,s)=>{let i=s+1,c=ea(i);r=ta(r,a.depthwise_conv,c),r=Z(r,a.pointwise_conv,[1,1]),i===11&&(e=r)}),e===null)throw new Error("mobileNetV1 - output of conv layer 11 is null");return{out:r,conv11:e}})}function ra(o,t,e){let r=o.arraySync(),n=Math.min(r[t][0],r[t][2]),a=Math.min(r[t][1],r[t][3]),s=Math.max(r[t][0],r[t][2]),i=Math.max(r[t][1],r[t][3]),c=Math.min(r[e][0],r[e][2]),m=Math.min(r[e][1],r[e][3]),p=Math.max(r[e][0],r[e][2]),u=Math.max(r[e][1],r[e][3]),f=(s-n)*(i-a),l=(p-c)*(u-m);if(f<=0||l<=0)return 0;let g=Math.max(n,c),T=Math.max(a,m),D=Math.min(s,p),h=Math.min(i,u),_=Math.max(D-g,0)*Math.max(h-T,0);return _/(f+l-_)}function jo(o,t,e,r,n){let a=o.shape[0],s=Math.min(e,a),i=t.map((p,u)=>({score:p,boxIndex:u})).filter(p=>p.score>n).sort((p,u)=>u.score-p.score),c=p=>p<=r?1:0,m=[];return i.forEach(p=>{if(m.length>=s)return;let u=p.score;for(let f=m.length-1;f>=0;--f){let l=ra(o,p.boxIndex,m[f]);if(l!==0&&(p.score*=c(l),p.score<=n))break}u===p.score&&m.push(p.boxIndex)}),m}var d=v(x());function oa(o){let t=d.unstack(d.transpose(o,[1,0])),e=[d.sub(t[2],t[0]),d.sub(t[3],t[1])],r=[d.add(t[0],d.div(e[0],2)),d.add(t[1],d.div(e[1],2))];return{sizes:e,centers:r}}function na(o,t){let{sizes:e,centers:r}=oa(o),n=d.unstack(d.transpose(t,[1,0])),a=d.div(d.mul(d.exp(d.div(n[2],5)),e[0]),2),s=d.add(d.mul(d.div(n[0],10),e[0]),r[0]),i=d.div(d.mul(d.exp(d.div(n[3],5)),e[1]),2),c=d.add(d.mul(d.div(n[1],10),e[1]),r[1]);return d.transpose(d.stack([d.sub(s,a),d.sub(c,i),d.add(s,a),d.add(c,i)]),[1,0])}function Uo(o,t,e){return d.tidy(()=>{let r=o.shape[0],n=na(d.reshape(d.tile(e.extra_dim,[r,1,1]),[-1,4]),d.reshape(o,[-1,4]));n=d.reshape(n,[r,n.shape[0]/r,4]);let a=d.sigmoid(d.slice(t,[0,0,1],[-1,-1,-1])),s=d.slice(a,[0,0,0],[-1,-1,1]);s=d.reshape(s,[r,s.shape[1]]);let i=d.unstack(n),c=d.unstack(s);return{boxes:i,scores:c}})}var Ge=v(x());var Ye=v(x());function te(o,t){return Ye.tidy(()=>{let e=o.shape[0],r=Ye.reshape(qt(o,t.box_encoding_predictor),[e,-1,1,4]),n=Ye.reshape(qt(o,t.class_predictor),[e,-1,3]);return{boxPredictionEncoding:r,classPrediction:n}})}function Xo(o,t,e){return Ge.tidy(()=>{let r=Z(o,e.conv_0,[1,1]),n=Z(r,e.conv_1,[2,2]),a=Z(n,e.conv_2,[1,1]),s=Z(a,e.conv_3,[2,2]),i=Z(s,e.conv_4,[1,1]),c=Z(i,e.conv_5,[2,2]),m=Z(c,e.conv_6,[1,1]),p=Z(m,e.conv_7,[2,2]),u=te(t,e.box_predictor_0),f=te(o,e.box_predictor_1),l=te(n,e.box_predictor_2),g=te(s,e.box_predictor_3),T=te(c,e.box_predictor_4),D=te(p,e.box_predictor_5),h=Ge.concat([u.boxPredictionEncoding,f.boxPredictionEncoding,l.boxPredictionEncoding,g.boxPredictionEncoding,T.boxPredictionEncoding,D.boxPredictionEncoding],1),_=Ge.concat([u.classPrediction,f.classPrediction,l.classPrediction,g.classPrediction,T.classPrediction,D.classPrediction],1);return{boxPredictions:h,classPredictions:_}})}var X=class{constructor({minConfidence:t,maxResults:e}={}){this._name="SsdMobilenetv1Options";if(this._minConfidence=t||.5,this._maxResults=e||100,typeof this._minConfidence!="number"||this._minConfidence<=0||this._minConfidence>=1)throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);if(typeof this._maxResults!="number")throw new Error(`${this._name} - expected maxResults to be a number`)}get minConfidence(){return this._minConfidence}get maxResults(){return this._maxResults}};var St=class extends A{constructor(){super("SsdMobilenetv1")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("SsdMobilenetv1 - load model before inference");return Lt.tidy(()=>{let r=Lt.cast(t.toBatchTensor(512,!1),"float32"),n=Lt.sub(Lt.div(r,127.5),1),a=Go(n,e.mobilenetv1),{boxPredictions:s,classPredictions:i}=Xo(a.out,a.conv11,e.prediction_layer);return Uo(s,i,e.output_layer)})}async forward(t){return this.forwardInput(await C(t))}async locateFaces(t,e={}){let{maxResults:r,minConfidence:n}=new X(e),a=await C(t),{boxes:s,scores:i}=this.forwardInput(a),c=s[0],m=i[0];for(let y=1;y{let[E,W]=[Math.max(0,h[y][0]),Math.min(1,h[y][2])].map(q=>q*D),[tt,lt]=[Math.max(0,h[y][1]),Math.min(1,h[y][3])].map(q=>q*T);return new M(p[y],new Yt(tt,E,lt-tt,W-E),{height:a.getInputHeight(0),width:a.getInputWidth(0)})});return c.dispose(),m.dispose(),_}getDefaultModelName(){return"ssd_mobilenetv1_model"}extractParamsFromWeightMap(t){return Yo(t)}extractParams(t){return Vo(t)}};function Jo(o){let t=new St;return t.extractWeights(o),t}function aa(o){return Jo(o)}var uo=class extends St{};var qo=.4,Zo=[new b(.738768,.874946),new b(2.42204,2.65704),new b(4.30971,7.04493),new b(10.246,4.59428),new b(12.6868,11.8741)],Ko=[new b(1.603231,2.094468),new b(6.041143,7.080126),new b(2.882459,3.518061),new b(4.266906,5.178857),new b(9.041765,10.66308)],Qo=[117.001,114.697,97.404],tn="tiny_yolov2_model",en="tiny_yolov2_separable_conv_model";var N=v(x());var Cr=o=>typeof o=="number";function fo(o){if(!o)throw new Error(`invalid config: ${o}`);if(typeof o.withSeparableConvs!="boolean")throw new Error(`config.withSeparableConvs has to be a boolean, have: ${o.withSeparableConvs}`);if(!Cr(o.iouThreshold)||o.iouThreshold<0||o.iouThreshold>1)throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${o.iouThreshold}`);if(!Array.isArray(o.classes)||!o.classes.length||!o.classes.every(t=>typeof t=="string"))throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(o.classes)}`);if(!Array.isArray(o.anchors)||!o.anchors.length||!o.anchors.map(t=>t||{}).every(t=>Cr(t.x)&&Cr(t.y)))throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(o.anchors)}`);if(o.meanRgb&&(!Array.isArray(o.meanRgb)||o.meanRgb.length!==3||!o.meanRgb.every(Cr)))throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(o.meanRgb)}`)}var Q=v(x());var K=v(x());function Me(o){return K.tidy(()=>{let t=K.mul(o,K.scalar(.10000000149011612));return K.add(K.relu(K.sub(o,t)),t)})}function Tt(o,t){return Q.tidy(()=>{let e=Q.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=Q.conv2d(e,t.conv.filters,[1,1],"valid"),e=Q.sub(e,t.bn.sub),e=Q.mul(e,t.bn.truediv),e=Q.add(e,t.conv.bias),Me(e)})}var At=v(x());function Pt(o,t){return At.tidy(()=>{let e=At.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=At.separableConv2d(e,t.depthwise_filter,t.pointwise_filter,[1,1],"valid"),e=At.add(e,t.bias),Me(e)})}var lo=v(x());function sa(o,t){let e=be(o,t);function r(s,i){let c=lo.tensor1d(o(s)),m=lo.tensor1d(o(s));return t.push({paramPath:`${i}/sub`},{paramPath:`${i}/truediv`}),{sub:c,truediv:m}}function n(s,i,c){let m=e(s,i,3,`${c}/conv`),p=r(i,`${c}/bn`);return{conv:m,bn:p}}let a=ge(o,t);return{extractConvParams:e,extractConvWithBatchNormParams:n,extractSeparableConvParams:a}}function rn(o,t,e,r){let{extractWeights:n,getRemainingWeights:a}=R(o),s=[],{extractConvParams:i,extractConvWithBatchNormParams:c,extractSeparableConvParams:m}=sa(n,s),p;if(t.withSeparableConvs){let[u,f,l,g,T,D,h,_,y]=r,E=t.isFirstLayerConv2d?i(u,f,3,"conv0"):m(u,f,"conv0"),W=m(f,l,"conv1"),tt=m(l,g,"conv2"),lt=m(g,T,"conv3"),q=m(T,D,"conv4"),Dt=m(D,h,"conv5"),Et=_?m(h,_,"conv6"):void 0,Mt=y?m(_,y,"conv7"):void 0,$t=i(y||_||h,5*e,1,"conv8");p={conv0:E,conv1:W,conv2:tt,conv3:lt,conv4:q,conv5:Dt,conv6:Et,conv7:Mt,conv8:$t}}else{let[u,f,l,g,T,D,h,_,y]=r,E=c(u,f,"conv0"),W=c(f,l,"conv1"),tt=c(l,g,"conv2"),lt=c(g,T,"conv3"),q=c(T,D,"conv4"),Dt=c(D,h,"conv5"),Et=c(h,_,"conv6"),Mt=c(_,y,"conv7"),$t=i(y,5*e,1,"conv8");p={conv0:E,conv1:W,conv2:tt,conv3:lt,conv4:q,conv5:Dt,conv6:Et,conv7:Mt,conv8:$t}}if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{params:p,paramMappings:s}}function ia(o,t){let e=Y(o,t);function r(i){let c=e(`${i}/sub`,1),m=e(`${i}/truediv`,1);return{sub:c,truediv:m}}function n(i){let c=e(`${i}/filters`,4),m=e(`${i}/bias`,1);return{filters:c,bias:m}}function a(i){let c=n(`${i}/conv`),m=r(`${i}/bn`);return{conv:c,bn:m}}let s=xe(e);return{extractConvParams:n,extractConvWithBatchNormParams:a,extractSeparableConvParams:s}}function on(o,t){let e=[],{extractConvParams:r,extractConvWithBatchNormParams:n,extractSeparableConvParams:a}=ia(o,e),s;if(t.withSeparableConvs){let i=t.filterSizes&&t.filterSizes.length||9;s={conv0:t.isFirstLayerConv2d?r("conv0"):a("conv0"),conv1:a("conv1"),conv2:a("conv2"),conv3:a("conv3"),conv4:a("conv4"),conv5:a("conv5"),conv6:i>7?a("conv6"):void 0,conv7:i>8?a("conv7"):void 0,conv8:r("conv8")}}else s={conv0:n("conv0"),conv1:n("conv1"),conv2:n("conv2"),conv3:n("conv3"),conv4:n("conv4"),conv5:n("conv5"),conv6:n("conv6"),conv7:n("conv7"),conv8:r("conv8")};return B(o,e),{params:s,paramMappings:e}}var st=class{constructor({inputSize:t,scoreThreshold:e}={}){this._name="TinyYolov2Options";if(this._inputSize=t||416,this._scoreThreshold=e||.5,typeof this._inputSize!="number"||this._inputSize%32!==0)throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);if(typeof this._scoreThreshold!="number"||this._scoreThreshold<=0||this._scoreThreshold>=1)throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`)}get inputSize(){return this._inputSize}get scoreThreshold(){return this._scoreThreshold}};var ho=class extends A{constructor(e){super("TinyYolov2");fo(e),this._config=e}get config(){return this._config}get withClassScores(){return this.config.withClassScores||this.config.classes.length>1}get boxEncodingSize(){return 5+(this.withClassScores?this.config.classes.length:0)}runTinyYolov2(e,r){let n=Tt(e,r.conv0);return n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv1),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv2),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv3),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv4),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv5),n=N.maxPool(n,[2,2],[1,1],"same"),n=Tt(n,r.conv6),n=Tt(n,r.conv7),qt(n,r.conv8,"valid",!1)}runMobilenet(e,r){let n=this.config.isFirstLayerConv2d?Me(qt(e,r.conv0,"valid",!1)):Pt(e,r.conv0);return n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv1),n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv2),n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv3),n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv4),n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv5),n=N.maxPool(n,[2,2],[1,1],"same"),n=r.conv6?Pt(n,r.conv6):n,n=r.conv7?Pt(n,r.conv7):n,qt(n,r.conv8,"valid",!1)}forwardInput(e,r){let{params:n}=this;if(!n)throw new Error("TinyYolov2 - load model before inference");return N.tidy(()=>{let a=N.cast(e.toBatchTensor(r,!1),"float32");return a=this.config.meanRgb?rt(a,this.config.meanRgb):a,a=a.div(255),this.config.withSeparableConvs?this.runMobilenet(a,n):this.runTinyYolov2(a,n)})}async forward(e,r){return this.forwardInput(await C(e),r)}async detect(e,r={}){let{inputSize:n,scoreThreshold:a}=new st(r),s=await C(e),i=await this.forwardInput(s,n),c=N.tidy(()=>N.unstack(i)[0].expandDims()),m={width:s.getInputWidth(0),height:s.getInputHeight(0)},p=await this.extractBoxes(c,s.getReshapedInputDimensions(0),a);i.dispose(),c.dispose();let u=p.map(h=>h.box),f=p.map(h=>h.score),l=p.map(h=>h.classScore),g=p.map(h=>this.config.classes[h.label]);return zr(u.map(h=>h.rescale(n)),f,this.config.iouThreshold,!0).map(h=>new bt(f[h],l[h],g[h],u[h],m))}getDefaultModelName(){return""}extractParamsFromWeightMap(e){return on(e,this.config)}extractParams(e){let r=this.config.filterSizes||ho.DEFAULT_FILTER_SIZES,n=r?r.length:void 0;if(n!==7&&n!==8&&n!==9)throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${n} filterSizes in config`);return rn(e,this.config,this.boxEncodingSize,r)}async extractBoxes(e,r,n){let{width:a,height:s}=r,i=Math.max(a,s),c=i/a,m=i/s,p=e.shape[1],u=this.config.anchors.length,[f,l,g]=N.tidy(()=>{let _=e.reshape([p,p,u,this.boxEncodingSize]),y=_.slice([0,0,0,0],[p,p,u,4]),E=_.slice([0,0,0,4],[p,p,u,1]),W=this.withClassScores?N.softmax(_.slice([0,0,0,5],[p,p,u,this.config.classes.length]),3):N.scalar(0);return[y,E,W]}),T=[],D=await l.array(),h=await f.array();for(let _=0;_n){let tt=(y+Ne(h[_][y][E][0]))/p*c,lt=(_+Ne(h[_][y][E][1]))/p*m,q=Math.exp(h[_][y][E][2])*this.config.anchors[E].x/p*c,Dt=Math.exp(h[_][y][E][3])*this.config.anchors[E].y/p*m,Et=tt-q/2,Mt=lt-Dt/2,$t={row:_,col:y,anchor:E},{classScore:xo,label:vo}=this.withClassScores?await this.extractPredictedClass(g,$t):{classScore:1,label:0};T.push({box:new Vt(Et,Mt,Et+q,Mt+Dt),score:W,classScore:W*xo,label:vo,...$t})}}return f.dispose(),l.dispose(),g.dispose(),T}async extractPredictedClass(e,r){let{row:n,col:a,anchor:s}=r,i=await e.array();return Array(this.config.classes.length).fill(0).map((c,m)=>i[n][a][s][m]).map((c,m)=>({classScore:c,label:m})).reduce((c,m)=>c.classScore>m.classScore?c:m)}},ee=ho;ee.DEFAULT_FILTER_SIZES=[3,16,32,64,128,256,512,1024,1024];var re=class extends ee{constructor(t=!0){let e={withSeparableConvs:t,iouThreshold:qo,classes:["face"],...t?{anchors:Ko,meanRgb:Qo}:{anchors:Zo,withClassScores:!0}};super(e)}get withSeparableConvs(){return this.config.withSeparableConvs}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(n=>new M(n.score,n.relativeBox,{width:n.imageWidth,height:n.imageHeight}))}getDefaultModelName(){return this.withSeparableConvs?en:tn}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};function ca(o,t=!0){let e=new re(t);return e.extractWeights(o),e}var je=class extends st{constructor(){super(...arguments);this._name="TinyFaceDetectorOptions"}};var J=class{async then(t){return t(await this.run())}async run(){throw new Error("ComposableTask - run is not implemented")}};var Xe=v(x());var bo=v(x());async function oe(o,t,e,r,n=({alignedRect:a})=>a){let a=o.map(c=>Zt(c)?n(c):c.detection),s=r||(t instanceof bo.Tensor?await de(t,a):await le(t,a)),i=await e(s);return s.forEach(c=>c instanceof bo.Tensor&&c.dispose()),i}async function Ce(o,t,e,r,n){return oe([o],t,async a=>e(a[0]),r,n)}var nn=.4,an=[new b(1.603231,2.094468),new b(6.041143,7.080126),new b(2.882459,3.518061),new b(4.266906,5.178857),new b(9.041765,10.66308)],sn=[117.001,114.697,97.404];var ne=class extends ee{constructor(){let t={withSeparableConvs:!0,iouThreshold:nn,classes:["face"],anchors:an,meanRgb:sn,isFirstLayerConv2d:!0,filterSizes:[3,16,32,64,128,256,512]};super(t)}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(n=>new M(n.score,n.relativeBox,{width:n.imageWidth,height:n.imageHeight}))}getDefaultModelName(){return"tiny_face_detector_model"}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};var w={ssdMobilenetv1:new St,tinyFaceDetector:new ne,tinyYolov2:new re,faceLandmark68Net:new Kt,faceLandmark68TinyNet:new ze,faceRecognitionNet:new Qt,faceExpressionNet:new Oe,ageGenderNet:new He},cn=(o,t)=>w.ssdMobilenetv1.locateFaces(o,t),ma=(o,t)=>w.tinyFaceDetector.locateFaces(o,t),pa=(o,t)=>w.tinyYolov2.locateFaces(o,t),mn=o=>w.faceLandmark68Net.detectLandmarks(o),ua=o=>w.faceLandmark68TinyNet.detectLandmarks(o),fa=o=>w.faceRecognitionNet.computeFaceDescriptor(o),la=o=>w.faceExpressionNet.predictExpressions(o),da=o=>w.ageGenderNet.predictAgeAndGender(o),pn=o=>w.ssdMobilenetv1.load(o),ha=o=>w.tinyFaceDetector.load(o),ba=o=>w.tinyYolov2.load(o),ga=o=>w.faceLandmark68Net.load(o),xa=o=>w.faceLandmark68TinyNet.load(o),va=o=>w.faceRecognitionNet.load(o),ya=o=>w.faceExpressionNet.load(o),_a=o=>w.ageGenderNet.load(o),Ta=pn,Pa=cn,wa=mn;var Ir=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.extractedFaces=n}},ae=class extends Ir{async run(){let t=await this.parentTask,e=await oe(t,this.input,async r=>Promise.all(r.map(n=>w.faceExpressionNet.predictExpressions(n))),this.extractedFaces);return t.map((r,n)=>xr(r,e[n]))}withAgeAndGender(){return new ie(this,this.input)}},se=class extends Ir{async run(){let t=await this.parentTask;if(!t)return;let e=await Ce(t,this.input,r=>w.faceExpressionNet.predictExpressions(r),this.extractedFaces);return xr(t,e)}withAgeAndGender(){return new ce(this,this.input)}},Wt=class extends ae{withAgeAndGender(){return new Bt(this,this.input)}withFaceDescriptors(){return new wt(this,this.input)}},kt=class extends se{withAgeAndGender(){return new Rt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Nr=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.extractedFaces=n}},ie=class extends Nr{async run(){let t=await this.parentTask,e=await oe(t,this.input,async r=>Promise.all(r.map(n=>w.ageGenderNet.predictAgeAndGender(n))),this.extractedFaces);return t.map((r,n)=>{let{age:a,gender:s,genderProbability:i}=e[n];return Er(Mr(r,s,i),a)})}withFaceExpressions(){return new ae(this,this.input)}},ce=class extends Nr{async run(){let t=await this.parentTask;if(!t)return;let{age:e,gender:r,genderProbability:n}=await Ce(t,this.input,a=>w.ageGenderNet.predictAgeAndGender(a),this.extractedFaces);return Er(Mr(t,r,n),e)}withFaceExpressions(){return new se(this,this.input)}},Bt=class extends ie{withFaceExpressions(){return new Wt(this,this.input)}withFaceDescriptors(){return new wt(this,this.input)}},Rt=class extends ce{withFaceExpressions(){return new kt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Ue=class extends J{constructor(e,r){super();this.parentTask=e;this.input=r}},wt=class extends Ue{async run(){let t=await this.parentTask;return(await oe(t,this.input,r=>Promise.all(r.map(n=>w.faceRecognitionNet.computeFaceDescriptor(n))),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}))).map((r,n)=>Dr(t[n],r))}withFaceExpressions(){return new Wt(this,this.input)}withAgeAndGender(){return new Bt(this,this.input)}},Ft=class extends Ue{async run(){let t=await this.parentTask;if(!t)return;let e=await Ce(t,this.input,r=>w.faceRecognitionNet.computeFaceDescriptor(r),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}));return Dr(t,e)}withFaceExpressions(){return new kt(this,this.input)}withAgeAndGender(){return new Rt(this,this.input)}};var Je=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.useTinyLandmarkNet=n}get landmarkNet(){return this.useTinyLandmarkNet?w.faceLandmark68TinyNet:w.faceLandmark68Net}},qe=class extends Je{async run(){let t=await this.parentTask,e=t.map(s=>s.detection),r=this.input instanceof Xe.Tensor?await de(this.input,e):await le(this.input,e),n=await Promise.all(r.map(s=>this.landmarkNet.detectLandmarks(s)));return r.forEach(s=>s instanceof Xe.Tensor&&s.dispose()),t.filter((s,i)=>n[i]).map((s,i)=>we(s,n[i]))}withFaceExpressions(){return new Wt(this,this.input)}withAgeAndGender(){return new Bt(this,this.input)}withFaceDescriptors(){return new wt(this,this.input)}},Ze=class extends Je{async run(){let t=await this.parentTask;if(!t)return;let{detection:e}=t,r=this.input instanceof Xe.Tensor?await de(this.input,[e]):await le(this.input,[e]),n=await this.landmarkNet.detectLandmarks(r[0]);return r.forEach(a=>a instanceof Xe.Tensor&&a.dispose()),we(t,n)}withFaceExpressions(){return new kt(this,this.input)}withAgeAndGender(){return new Rt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Ke=class extends J{constructor(e,r=new X){super();this.input=e;this.options=r}},Ie=class extends Ke{async run(){let{input:t,options:e}=this,r;if(e instanceof je)r=w.tinyFaceDetector.locateFaces(t,e);else if(e instanceof X)r=w.ssdMobilenetv1.locateFaces(t,e);else if(e instanceof st)r=w.tinyYolov2.locateFaces(t,e);else throw new Error("detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | TinyYolov2Options");return r}runAndExtendWithFaceDetections(){return new Promise((t,e)=>{this.run().then(r=>t(r.map(n=>jt({},n)))).catch(r=>e(r))})}withFaceLandmarks(t=!1){return new qe(this.runAndExtendWithFaceDetections(),this.input,t)}withFaceExpressions(){return new ae(this.runAndExtendWithFaceDetections(),this.input)}withAgeAndGender(){return new ie(this.runAndExtendWithFaceDetections(),this.input)}},Qe=class extends Ke{async run(){let t=await new Ie(this.input,this.options),e=t[0];return t.forEach(r=>{r.score>e.score&&(e=r)}),e}runAndExtendWithFaceDetection(){return new Promise(async t=>{let e=await this.run();t(e?jt({},e):void 0)})}withFaceLandmarks(t=!1){return new Ze(this.runAndExtendWithFaceDetection(),this.input,t)}withFaceExpressions(){return new se(this.runAndExtendWithFaceDetection(),this.input)}withAgeAndGender(){return new ce(this.runAndExtendWithFaceDetection(),this.input)}};function Fa(o,t=new X){return new Qe(o,t)}function Sr(o,t=new X){return new Ie(o,t)}async function un(o,t){return Sr(o,new X(t?{minConfidence:t}:{})).withFaceLandmarks().withFaceDescriptors()}async function Da(o,t={}){return Sr(o,new st(t)).withFaceLandmarks().withFaceDescriptors()}var Ea=un;function go(o,t){if(o.length!==t.length)throw new Error("euclideanDistance: arr1.length !== arr2.length");let e=Array.from(o),r=Array.from(t);return Math.sqrt(e.map((n,a)=>n-r[a]).reduce((n,a)=>n+a*a,0))}var tr=class{constructor(t,e=.6){this._distanceThreshold=e;let r=Array.isArray(t)?t:[t];if(!r.length)throw new Error("FaceRecognizer.constructor - expected atleast one input");let n=1,a=()=>`person ${n++}`;this._labeledDescriptors=r.map(s=>{if(s instanceof mt)return s;if(s instanceof Float32Array)return new mt(a(),[s]);if(s.descriptor&&s.descriptor instanceof Float32Array)return new mt(a(),[s.descriptor]);throw new Error("FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>")})}get labeledDescriptors(){return this._labeledDescriptors}get distanceThreshold(){return this._distanceThreshold}computeMeanDistance(t,e){return e.map(r=>go(r,t)).reduce((r,n)=>r+n,0)/(e.length||1)}matchDescriptor(t){return this.labeledDescriptors.map(({descriptors:e,label:r})=>new pe(r,this.computeMeanDistance(t,e))).reduce((e,r)=>e.distancet.toJSON())}}static fromJSON(t){let e=t.labeledDescriptors.map(r=>mt.fromJSON(r));return new tr(e,t.distanceThreshold)}};function Ma(o){let t=new ne;return t.extractWeights(o),t}function fn(o,t){let{width:e,height:r}=new k(t.width,t.height);if(e<=0||r<=0)throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({width:e,height:r})}`);if(Array.isArray(o))return o.map(n=>fn(n,{width:e,height:r}));if(Zt(o)){let n=o.detection.forSize(e,r),a=o.unshiftedLandmarks.forSize(n.box.width,n.box.height);return we(jt(o,n),a)}return pt(o)?jt(o,o.detection.forSize(e,r)):o instanceof z||o instanceof M?o.forSize(e,r):o}var Ia=No;0&&(module.exports={AgeGenderNet,BoundingBox,Box,ComposableTask,ComputeAllFaceDescriptorsTask,ComputeFaceDescriptorsTaskBase,ComputeSingleFaceDescriptorTask,DetectAllFaceLandmarksTask,DetectAllFacesTask,DetectFaceLandmarksTaskBase,DetectFacesTaskBase,DetectSingleFaceLandmarksTask,DetectSingleFaceTask,Dimensions,FACE_EXPRESSION_LABELS,FaceDetection,FaceDetectionNet,FaceExpressionNet,FaceExpressions,FaceLandmark68Net,FaceLandmark68TinyNet,FaceLandmarkNet,FaceLandmarks,FaceLandmarks5,FaceLandmarks68,FaceMatch,FaceMatcher,FaceRecognitionNet,Gender,LabeledBox,LabeledFaceDescriptors,NetInput,NeuralNetwork,ObjectDetection,Point,PredictedBox,Rect,SsdMobilenetv1,SsdMobilenetv1Options,TinyFaceDetector,TinyFaceDetectorOptions,TinyYolov2,TinyYolov2Options,allFaces,allFacesSsdMobilenetv1,allFacesTinyYolov2,awaitMediaLoaded,bufferToImage,computeFaceDescriptor,createCanvas,createCanvasFromMedia,createFaceDetectionNet,createFaceRecognitionNet,createSsdMobilenetv1,createTinyFaceDetector,createTinyYolov2,detectAllFaces,detectFaceLandmarks,detectFaceLandmarksTiny,detectLandmarks,detectSingleFace,draw,env,euclideanDistance,extendWithAge,extendWithFaceDescriptor,extendWithFaceDetection,extendWithFaceExpressions,extendWithFaceLandmarks,extendWithGender,extractFaceTensors,extractFaces,fetchImage,fetchJson,fetchNetWeights,fetchOrThrow,fetchVideo,getContext2dOrThrow,getMediaDimensions,imageTensorToCanvas,imageToSquare,inverseSigmoid,iou,isMediaElement,isMediaLoaded,isWithAge,isWithFaceDetection,isWithFaceExpressions,isWithFaceLandmarks,isWithGender,loadAgeGenderModel,loadFaceDetectionModel,loadFaceExpressionModel,loadFaceLandmarkModel,loadFaceLandmarkTinyModel,loadFaceRecognitionModel,loadSsdMobilenetv1Model,loadTinyFaceDetectorModel,loadTinyYolov2Model,loadWeightMap,locateFaces,matchDimensions,minBbox,nets,nonMaxSuppression,normalize,padToSquare,predictAgeAndGender,recognizeFaceExpressions,resizeResults,resolveInput,shuffleArray,sigmoid,ssdMobilenetv1,tf,tinyFaceDetector,tinyYolov2,toNetInput,utils,validateConfig,version}); +"use strict";var ln=Object.create;var er=Object.defineProperty;var dn=Object.getOwnPropertyDescriptor;var hn=Object.getOwnPropertyNames;var bn=Object.getPrototypeOf,gn=Object.prototype.hasOwnProperty;var xn=(o,t)=>()=>(t||o((t={exports:{}}).exports,t),t.exports),Lr=(o,t)=>{for(var e in t)er(o,e,{get:t[e],enumerable:!0})},yo=(o,t,e,r)=>{if(t&&typeof t=="object"||typeof t=="function")for(let n of hn(t))!gn.call(o,n)&&n!==e&&er(o,n,{get:()=>t[n],enumerable:!(r=dn(t,n))||r.enumerable});return o};var v=(o,t,e)=>(e=o!=null?ln(bn(o)):{},yo(t||!o||!o.__esModule?er(e,"default",{value:o,enumerable:!0}):e,o)),vn=o=>yo(er({},"__esModule",{value:!0}),o);var x=xn((ka,Wr)=>{"use strict";var _o=Object.defineProperty,yn=Object.getOwnPropertyDescriptor,_n=Object.getOwnPropertyNames,Tn=Object.prototype.hasOwnProperty,Ar=(o,t,e,r)=>{if(t&&typeof t=="object"||typeof t=="function")for(let n of _n(t))!Tn.call(o,n)&&n!==e&&_o(o,n,{get:()=>t[n],enumerable:!(r=yn(t,n))||r.enumerable});return o},Pn=(o,t,e)=>(Ar(o,t,"default"),e&&Ar(e,t,"default")),wn=o=>Ar(_o({},"__esModule",{value:!0}),o),To={};Wr.exports=wn(To);Pn(To,require("@tensorflow/tfjs-node-gpu"),Wr.exports)});var Na={};Lr(Na,{AgeGenderNet:()=>He,BoundingBox:()=>Vt,Box:()=>F,ComposableTask:()=>J,ComputeAllFaceDescriptorsTask:()=>wt,ComputeFaceDescriptorsTaskBase:()=>Ue,ComputeSingleFaceDescriptorTask:()=>Ft,DetectAllFaceLandmarksTask:()=>qe,DetectAllFacesTask:()=>Ie,DetectFaceLandmarksTaskBase:()=>Je,DetectFacesTaskBase:()=>Ke,DetectSingleFaceLandmarksTask:()=>Ze,DetectSingleFaceTask:()=>Qe,Dimensions:()=>k,FACE_EXPRESSION_LABELS:()=>no,FaceDetection:()=>M,FaceDetectionNet:()=>uo,FaceExpressionNet:()=>Oe,FaceExpressions:()=>yt,FaceLandmark68Net:()=>Kt,FaceLandmark68TinyNet:()=>ze,FaceLandmarkNet:()=>co,FaceLandmarks:()=>z,FaceLandmarks5:()=>Yr,FaceLandmarks68:()=>Gt,FaceMatch:()=>pe,FaceMatcher:()=>tr,FaceRecognitionNet:()=>Qt,Gender:()=>Tr,LabeledBox:()=>ue,LabeledFaceDescriptors:()=>mt,NetInput:()=>ut,NeuralNetwork:()=>A,ObjectDetection:()=>bt,Point:()=>b,PredictedBox:()=>Gr,Rect:()=>Yt,SsdMobilenetv1:()=>St,SsdMobilenetv1Options:()=>X,TinyFaceDetector:()=>ne,TinyFaceDetectorOptions:()=>je,TinyYolov2:()=>re,TinyYolov2Options:()=>st,allFaces:()=>Ea,allFacesSsdMobilenetv1:()=>un,allFacesTinyYolov2:()=>Da,awaitMediaLoaded:()=>Kr,bufferToImage:()=>Qr,computeFaceDescriptor:()=>fa,createCanvas:()=>Jt,createCanvasFromMedia:()=>We,createFaceDetectionNet:()=>aa,createFaceRecognitionNet:()=>Xn,createSsdMobilenetv1:()=>Jo,createTinyFaceDetector:()=>Ma,createTinyYolov2:()=>ca,detectAllFaces:()=>Sr,detectFaceLandmarks:()=>mn,detectFaceLandmarksTiny:()=>ua,detectLandmarks:()=>wa,detectSingleFace:()=>Fa,draw:()=>so,env:()=>P,euclideanDistance:()=>go,extendWithAge:()=>Er,extendWithFaceDescriptor:()=>Dr,extendWithFaceDetection:()=>jt,extendWithFaceExpressions:()=>xr,extendWithFaceLandmarks:()=>we,extendWithGender:()=>Mr,extractFaceTensors:()=>de,extractFaces:()=>le,fetchImage:()=>An,fetchJson:()=>ro,fetchNetWeights:()=>Wn,fetchOrThrow:()=>xt,fetchVideo:()=>kn,getContext2dOrThrow:()=>O,getMediaDimensions:()=>Xt,imageTensorToCanvas:()=>to,imageToSquare:()=>eo,inverseSigmoid:()=>En,iou:()=>Or,isMediaElement:()=>ir,isMediaLoaded:()=>Ae,isWithAge:()=>Jn,isWithFaceDetection:()=>pt,isWithFaceExpressions:()=>ao,isWithFaceLandmarks:()=>Zt,isWithGender:()=>qn,loadAgeGenderModel:()=>_a,loadFaceDetectionModel:()=>Ta,loadFaceExpressionModel:()=>ya,loadFaceLandmarkModel:()=>ga,loadFaceLandmarkTinyModel:()=>xa,loadFaceRecognitionModel:()=>va,loadSsdMobilenetv1Model:()=>pn,loadTinyFaceDetectorModel:()=>ha,loadTinyYolov2Model:()=>ba,loadWeightMap:()=>oo,locateFaces:()=>Pa,matchDimensions:()=>Bn,minBbox:()=>Hr,nets:()=>w,nonMaxSuppression:()=>zr,normalize:()=>rt,padToSquare:()=>Vr,predictAgeAndGender:()=>da,recognizeFaceExpressions:()=>la,resizeResults:()=>fn,resolveInput:()=>Ut,shuffleArray:()=>Dn,sigmoid:()=>Ne,ssdMobilenetv1:()=>cn,tf:()=>Ca,tinyFaceDetector:()=>ma,tinyYolov2:()=>pa,toNetInput:()=>C,utils:()=>$r,validateConfig:()=>fo,version:()=>Ia});module.exports=vn(Na);var Ca=v(x());var so={};Lr(so,{AnchorPosition:()=>Zr,DrawBox:()=>Le,DrawBoxOptions:()=>ar,DrawFaceLandmarks:()=>yr,DrawFaceLandmarksOptions:()=>vr,DrawTextField:()=>gt,DrawTextFieldOptions:()=>fe,drawContour:()=>dt,drawDetections:()=>Ln,drawFaceExpressions:()=>Rn,drawFaceLandmarks:()=>On});function dt(o,t,e=!1){if(o.beginPath(),t.slice(1).forEach(({x:r,y:n},a)=>{let s=t[a];o.moveTo(s.x,s.y),o.lineTo(r,n)}),e){let r=t[t.length-1],n=t[0];if(!r||!n)return;o.moveTo(r.x,r.y),o.lineTo(n.x,n.y)}o.stroke()}var $r={};Lr($r,{computeReshapedDimensions:()=>Rr,getCenterPoint:()=>zt,isDimensions:()=>or,isEven:()=>rr,isFloat:()=>Br,isTensor:()=>Ot,isTensor1D:()=>Fn,isTensor2D:()=>kr,isTensor3D:()=>ht,isTensor4D:()=>U,isValidNumber:()=>et,isValidProbablitiy:()=>me,range:()=>it,round:()=>Ht});var Po=v(x());var k=class{constructor(t,e){if(!et(t)||!et(e))throw new Error(`Dimensions.constructor - expected width and height to be valid numbers, instead have ${JSON.stringify({width:t,height:e})}`);this._width=t,this._height=e}get width(){return this._width}get height(){return this._height}reverse(){return new k(1/this.width,1/this.height)}};function Ot(o,t){return o instanceof Po.Tensor&&o.shape.length===t}function Fn(o){return Ot(o,1)}function kr(o){return Ot(o,2)}function ht(o){return Ot(o,3)}function U(o){return Ot(o,4)}function Br(o){return o%1!==0}function rr(o){return o%2===0}function Ht(o,t=2){let e=10**t;return Math.floor(o*e)/e}function or(o){return o&&o.width&&o.height}function Rr({width:o,height:t},e){let r=e/Math.max(t,o);return new k(Math.round(o*r),Math.round(t*r))}function zt(o){return o.reduce((t,e)=>t.add(e),new b(0,0)).div(new b(o.length,o.length))}function it(o,t,e){return Array(o).fill(0).map((r,n)=>t+n*e)}function et(o){return!!o&&o!==1/0&&o!==-1/0&&!Number.isNaN(o)||o===0}function me(o){return et(o)&&o>=0&&o<=1}var b=class{constructor(t,e){this._x=t,this._y=e}get x(){return this._x}get y(){return this._y}add(t){return new b(this.x+t.x,this.y+t.y)}sub(t){return new b(this.x-t.x,this.y-t.y)}mul(t){return new b(this.x*t.x,this.y*t.y)}div(t){return new b(this.x/t.x,this.y/t.y)}abs(){return new b(Math.abs(this.x),Math.abs(this.y))}magnitude(){return Math.sqrt(this.x**2+this.y**2)}floor(){return new b(Math.floor(this.x),Math.floor(this.y))}};var F=class{static isRect(t){return!!t&&[t.x,t.y,t.width,t.height].every(et)}static assertIsValidBox(t,e,r=!1){if(!F.isRect(t))throw new Error(`${e} - invalid box: ${JSON.stringify(t)}, expected object with properties x, y, width, height`);if(!r&&(t.width<0||t.height<0))throw new Error(`${e} - width (${t.width}) and height (${t.height}) must be positive numbers`)}constructor(t,e=!0){let r=t||{},n=[r.left,r.top,r.right,r.bottom].every(et),a=[r.x,r.y,r.width,r.height].every(et);if(!a&&!n)throw new Error(`Box.constructor - expected box to be IBoundingBox | IRect, instead have ${JSON.stringify(r)}`);let[s,i,c,m]=a?[r.x,r.y,r.width,r.height]:[r.left,r.top,r.right-r.left,r.bottom-r.top];F.assertIsValidBox({x:s,y:i,width:c,height:m},"Box.constructor",e),this._x=s,this._y=i,this._width=c,this._height=m}get x(){return this._x}get y(){return this._y}get width(){return this._width}get height(){return this._height}get left(){return this.x}get top(){return this.y}get right(){return this.x+this.width}get bottom(){return this.y+this.height}get area(){return this.width*this.height}get topLeft(){return new b(this.left,this.top)}get topRight(){return new b(this.right,this.top)}get bottomLeft(){return new b(this.left,this.bottom)}get bottomRight(){return new b(this.right,this.bottom)}round(){let[t,e,r,n]=[this.x,this.y,this.width,this.height].map(a=>Math.round(a));return new F({x:t,y:e,width:r,height:n})}floor(){let[t,e,r,n]=[this.x,this.y,this.width,this.height].map(a=>Math.floor(a));return new F({x:t,y:e,width:r,height:n})}toSquare(){let{x:t,y:e,width:r,height:n}=this,a=Math.abs(r-n);return re&&(i=-u+e+r,u=e),f>t&&(c=-f+t+n,f=t),m<1&&(c=2-m,m=1),p<1&&(c=2-p,p=1),{dy:s,edy:c,dx:a,edx:i,y:p,ey:f,x:m,ex:u,w:r,h:n}}calibrate(t){return new F({left:this.left+t.left*this.width,top:this.top+t.top*this.height,right:this.right+t.right*this.width,bottom:this.bottom+t.bottom*this.height}).toSquare().round()}};var Vt=class extends F{constructor(t,e,r,n,a=!1){super({left:t,top:e,right:r,bottom:n},a)}};var bt=class{constructor(t,e,r,n,a){this._imageDims=new k(a.width,a.height),this._score=t,this._classScore=e,this._className=r,this._box=new F(n).rescale(this._imageDims)}get score(){return this._score}get classScore(){return this._classScore}get className(){return this._className}get box(){return this._box}get imageDims(){return this._imageDims}get imageWidth(){return this.imageDims.width}get imageHeight(){return this.imageDims.height}get relativeBox(){return new F(this._box).rescale(this.imageDims.reverse())}forSize(t,e){return new bt(this.score,this.classScore,this.className,this.relativeBox,{width:t,height:e})}};var M=class extends bt{constructor(t,e,r){super(t,t,"",e,r)}forSize(t,e){let{score:r,relativeBox:n,imageDims:a}=super.forSize(t,e);return new M(r,n,a)}};function Or(o,t,e=!0){let r=Math.max(0,Math.min(o.right,t.right)-Math.max(o.left,t.left)),n=Math.max(0,Math.min(o.bottom,t.bottom)-Math.max(o.top,t.top)),a=r*n;return e?a/(o.area+t.area-a):a/Math.min(o.area,t.area)}function Hr(o){let t=o.map(i=>i.x),e=o.map(i=>i.y),r=t.reduce((i,c)=>ccii({score:s,boxIndex:i})).sort((s,i)=>s.score-i.score).map(s=>s.boxIndex),a=[];for(;n.length>0;){let s=n.pop();a.push(s);let i=n,c=[];for(let m=0;mc[p]<=e)}return a}var ct=v(x());function rt(o,t){return ct.tidy(()=>{let[e,r,n]=t,a=ct.fill([...o.shape.slice(0,3),1],e,"float32"),s=ct.fill([...o.shape.slice(0,3),1],r,"float32"),i=ct.fill([...o.shape.slice(0,3),1],n,"float32"),c=ct.concat([a,s,i],3);return ct.sub(o,c)})}var Ct=v(x());function Vr(o,t=!1){return Ct.tidy(()=>{let[e,r]=o.shape.slice(1);if(e===r)return o;let n=Math.abs(e-r),a=Math.round(n*(t?.5:1)),s=e>r?2:1,i=f=>{let l=o.shape.slice();return l[s]=f,Ct.fill(l,0,"float32")},c=i(a),m=n-c.shape[s],u=[t&&m?i(m):null,o,c].filter(f=>!!f).map(f=>Ct.cast(f,"float32"));return Ct.concat(u,s)})}function Dn(o){let t=o.slice();for(let e=t.length-1;e>0;e--){let r=Math.floor(Math.random()*(e+1)),n=t[e];t[e]=t[r],t[r]=n}return t}function Ne(o){return 1/(1+Math.exp(-o))}function En(o){return Math.log(o/(1-o))}var Yt=class extends F{constructor(t,e,r,n,a=!1){super({x:t,y:e,width:r,height:n},a)}};var Mn=.5,Cn=.43,In=.45,z=class{constructor(t,e,r=new b(0,0)){let{width:n,height:a}=e;this._imgDims=new k(n,a),this._shift=r,this._positions=t.map(s=>s.mul(new b(n,a)).add(r))}get shift(){return new b(this._shift.x,this._shift.y)}get imageWidth(){return this._imgDims.width}get imageHeight(){return this._imgDims.height}get positions(){return this._positions}get relativePositions(){return this._positions.map(t=>t.sub(this._shift).div(new b(this.imageWidth,this.imageHeight)))}forSize(t,e){return new this.constructor(this.relativePositions,{width:t,height:e})}shiftBy(t,e){return new this.constructor(this.relativePositions,this._imgDims,new b(t,e))}shiftByPoint(t){return this.shiftBy(t.x,t.y)}align(t,e={}){if(t){let a=t instanceof M?t.box.floor():new F(t);return this.shiftBy(a.x,a.y).align(null,e)}let{useDlibAlignment:r,minBoxPadding:n}={useDlibAlignment:!1,minBoxPadding:.2,...e};return r?this.alignDlib():this.alignMinBbox(n)}alignDlib(){let t=this.getRefPointsForAlignment(),[e,r,n]=t,a=u=>n.sub(u).magnitude(),s=(a(e)+a(r))/2,i=Math.floor(s/In),c=zt(t),m=Math.floor(Math.max(0,c.x-Mn*i)),p=Math.floor(Math.max(0,c.y-Cn*i));return new Yt(m,p,Math.min(i,this.imageWidth+m),Math.min(i,this.imageHeight+p))}alignMinBbox(t){let e=Hr(this.positions);return e.pad(e.width*t,e.height*t)}getRefPointsForAlignment(){throw new Error("getRefPointsForAlignment not implemented by base class")}};var Yr=class extends z{getRefPointsForAlignment(){let t=this.positions;return[t[0],t[1],zt([t[3],t[4]])]}};var Gt=class extends z{getJawOutline(){return this.positions.slice(0,17)}getLeftEyeBrow(){return this.positions.slice(17,22)}getRightEyeBrow(){return this.positions.slice(22,27)}getNose(){return this.positions.slice(27,36)}getLeftEye(){return this.positions.slice(36,42)}getRightEye(){return this.positions.slice(42,48)}getMouth(){return this.positions.slice(48,68)}getRefPointsForAlignment(){return[this.getLeftEye(),this.getRightEye(),this.getMouth()].map(zt)}};var pe=class{constructor(t,e){this._label=t,this._distance=e}get label(){return this._label}get distance(){return this._distance}toString(t=!0){return`${this.label}${t?` (${Ht(this.distance)})`:""}`}};var ue=class extends F{constructor(e,r){super(e);this._label=r}static assertIsValidLabeledBox(e,r){if(F.assertIsValidBox(e,r),!et(e.label))throw new Error(`${r} - expected property label (${e.label}) to be a number`)}get label(){return this._label}};var mt=class{constructor(t,e){if(typeof t!="string")throw new Error("LabeledFaceDescriptors - constructor expected label to be a string");if(!Array.isArray(e)||e.some(r=>!(r instanceof Float32Array)))throw new Error("LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array");this._label=t,this._descriptors=e}get label(){return this._label}get descriptors(){return this._descriptors}toJSON(){return{label:this.label,descriptors:this.descriptors.map(t=>Array.from(t))}}static fromJSON(t){let e=t.descriptors.map(r=>new Float32Array(r));return new mt(t.label,e)}};var Gr=class extends ue{constructor(e,r,n,a){super(e,r);this._score=n,this._classScore=a}static assertIsValidPredictedBox(e,r){if(ue.assertIsValidLabeledBox(e,r),!me(e.score)||!me(e.classScore))throw new Error(`${r} - expected properties score (${e.score}) and (${e.classScore}) to be a number between [0, 1]`)}get score(){return this._score}get classScore(){return this._classScore}};function pt(o){return o.detection instanceof M}function jt(o,t){return{...o,...{detection:t}}}function jr(){let o=window.fetch;if(!o)throw new Error("fetch - missing fetch implementation for browser environment");return{Canvas:HTMLCanvasElement,CanvasRenderingContext2D,Image:HTMLImageElement,ImageData,Video:HTMLVideoElement,createCanvasElement:()=>document.createElement("canvas"),createImageElement:()=>document.createElement("img"),createVideoElement:()=>document.createElement("video"),fetch:o,readFile:()=>{throw new Error("readFile - filesystem not available for browser environment")}}}function Se(){return typeof global=="object"&&typeof process!="undefined"&&process.versions!=null&&process.versions.node!=null}function nr(o){let t="";if(!o&&Se())try{o=require("fs")}catch(r){t=r.toString()}return{readFile:o?r=>new Promise((n,a)=>{o.readFile(r,(s,i)=>s?a(s):n(i))}):()=>{throw new Error(`readFile - failed to require fs in nodejs environment with error: ${t}`)}}}function Ur(){let o=global.Canvas||global.HTMLCanvasElement,t=global.Image||global.HTMLImageElement,e=global.Video||global.HTMLVideoElement,r=()=>{if(o)return new o;throw new Error("createCanvasElement - missing Canvas implementation for nodejs environment")},n=()=>{if(t)return new t;throw new Error("createImageElement - missing Image implementation for nodejs environment")},a=()=>{if(e)return new e;throw new Error("createVideoElement - missing Video implementation for nodejs environment")},s=global.fetch,i=nr();return{Canvas:o||class{},CanvasRenderingContext2D:global.CanvasRenderingContext2D||class{},Image:t||class{},ImageData:global.ImageData||class{},Video:global.HTMLVideoElement||class{},createCanvasElement:r,createImageElement:n,createVideoElement:a,fetch:s,...i}}function Xr(){return typeof window=="object"&&typeof document!="undefined"&&typeof HTMLImageElement!="undefined"&&typeof HTMLCanvasElement!="undefined"&&typeof HTMLVideoElement!="undefined"&&typeof ImageData!="undefined"&&typeof CanvasRenderingContext2D!="undefined"}var L;function Nn(){if(!L)throw new Error("getEnv - environment is not defined, check isNodejs() and isBrowser()");return L}function Jr(o){L=o}function qr(){return Xr()?Jr(jr()):Se()?Jr(Ur()):null}function Sn(o){if(L||qr(),!L)throw new Error("monkeyPatch - environment is not defined, check isNodejs() and isBrowser()");let{Canvas:t=L.Canvas,Image:e=L.Image}=o;L.Canvas=t,L.Image=e,L.createCanvasElement=o.createCanvasElement||(()=>new t),L.createImageElement=o.createImageElement||(()=>new e),L.ImageData=o.ImageData||L.ImageData,L.Video=o.Video||L.Video,L.fetch=o.fetch||L.fetch,L.readFile=o.readFile||L.readFile}var P={getEnv:Nn,setEnv:Jr,initialize:qr,createBrowserEnv:jr,createFileSystem:nr,createNodejsEnv:Ur,monkeyPatch:Sn,isBrowser:Xr,isNodejs:Se};qr();function Ut(o){return!P.isNodejs()&&typeof o=="string"?document.getElementById(o):o}function O(o){let{Canvas:t,CanvasRenderingContext2D:e}=P.getEnv();if(o instanceof e)return o;let r=Ut(o);if(!(r instanceof t))throw new Error("resolveContext2d - expected canvas to be of instance of Canvas");let n=r.getContext("2d");if(!n)throw new Error("resolveContext2d - canvas 2d context is null");return n}var Zr=(n=>(n.TOP_LEFT="TOP_LEFT",n.TOP_RIGHT="TOP_RIGHT",n.BOTTOM_LEFT="BOTTOM_LEFT",n.BOTTOM_RIGHT="BOTTOM_RIGHT",n))(Zr||{}),fe=class{constructor(t={}){let{anchorPosition:e,backgroundColor:r,fontColor:n,fontSize:a,fontStyle:s,padding:i}=t;this.anchorPosition=e||"TOP_LEFT",this.backgroundColor=r||"rgba(0, 0, 0, 0.5)",this.fontColor=n||"rgba(255, 255, 255, 1)",this.fontSize=a||14,this.fontStyle=s||"Georgia",this.padding=i||4}},gt=class{constructor(t,e,r={}){this.text=typeof t=="string"?[t]:t instanceof gt?t.text:t,this.anchor=e,this.options=new fe(r)}measureWidth(t){let{padding:e}=this.options;return this.text.map(r=>t.measureText(r).width).reduce((r,n)=>r{let g=c+u.x,T=c+u.y+(l+1)*s;r.fillText(f,g,T)})}};var ar=class{constructor(t={}){let{boxColor:e,lineWidth:r,label:n,drawLabelOptions:a}=t;this.boxColor=e||"rgba(0, 0, 255, 1)",this.lineWidth=r||2,this.label=n;let s={anchorPosition:"BOTTOM_LEFT",backgroundColor:this.boxColor};this.drawLabelOptions=new fe({...s,...a})}},Le=class{constructor(t,e={}){this.box=new F(t),this.options=new ar(e)}draw(t){let e=O(t),{boxColor:r,lineWidth:n}=this.options,{x:a,y:s,width:i,height:c}=this.box;e.strokeStyle=r,e.lineWidth=n,e.strokeRect(a,s,i,c);let{label:m}=this.options;m&&new gt([m],{x:a-n/2,y:s},this.options.drawLabelOptions).draw(t)}};function Ln(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let n=r instanceof M?r.score:pt(r)?r.detection.score:void 0,a=r instanceof M?r.box:pt(r)?r.detection.box:new F(r),s=n?`${Ht(n)}`:void 0;new Le(a,{label:s}).draw(o)})}var Pe=v(x());function Ae(o){let{Image:t,Video:e}=P.getEnv();return o instanceof t&&o.complete||o instanceof e&&o.readyState>=3}function Kr(o){return new Promise((t,e)=>{(o instanceof P.getEnv().Canvas||Ae(o))&&t(null);function r(a){!a.currentTarget||(a.currentTarget.removeEventListener("load",n),a.currentTarget.removeEventListener("error",r),e(a))}function n(a){!a.currentTarget||(a.currentTarget.removeEventListener("load",n),a.currentTarget.removeEventListener("error",r),t(a))}o.addEventListener("load",n),o.addEventListener("error",r)})}function Qr(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToImage - expected buf to be of type: Blob"));let r=new FileReader;r.onload=()=>{typeof r.result!="string"&&e(new Error("bufferToImage - expected reader.result to be a string, in onload"));let n=P.getEnv().createImageElement();n.onload=()=>t(n),n.onerror=e,n.src=r.result},r.onerror=e,r.readAsDataURL(o)})}function Xt(o){let{Image:t,Video:e}=P.getEnv();return o instanceof t?new k(o.naturalWidth,o.naturalHeight):o instanceof e?new k(o.videoWidth,o.videoHeight):new k(o.width,o.height)}function Jt({width:o,height:t}){let{createCanvasElement:e}=P.getEnv(),r=e();return r.width=o,r.height=t,r}function We(o,t){let{ImageData:e}=P.getEnv();if(!(o instanceof e)&&!Ae(o))throw new Error("createCanvasFromMedia - media has not finished loading yet");let{width:r,height:n}=t||Xt(o),a=Jt({width:r,height:n});return o instanceof e?O(a).putImageData(o,0,0):O(a).drawImage(o,0,0,r,n),a}var sr=v(x());async function to(o,t){let e=t||P.getEnv().createCanvasElement(),[r,n,a]=o.shape.slice(U(o)?1:0),s=sr.tidy(()=>o.as3D(r,n,a).toInt());return await sr.browser.toPixels(s,e),s.dispose(),e}function ir(o){let{Image:t,Canvas:e,Video:r}=P.getEnv();return o instanceof t||o instanceof e||o instanceof r}var V=v(x());function eo(o,t,e=!1){let{Image:r,Canvas:n}=P.getEnv();if(!(o instanceof r||o instanceof n))throw new Error("imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement");if(t<=0)return Jt({width:1,height:1});let a=Xt(o),s=t/Math.max(a.height,a.width),i=s*a.width,c=s*a.height,m=Jt({width:t,height:t}),p=o instanceof n?o:We(o),u=Math.abs(i-c)/2,f=e&&i0&&p.height>0&&O(m).drawImage(p,f,l,i,c),m}var ut=class{constructor(t,e=!1){this._imageTensors=[];this._canvases=[];this._treatAsBatchInput=!1;this._inputDimensions=[];this._inputSize=0;if(!Array.isArray(t))throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${t}`);this._treatAsBatchInput=e,this._batchSize=t.length,t.forEach((r,n)=>{if(ht(r)){this._imageTensors[n]=r,this._inputDimensions[n]=r.shape;return}if(U(r)){let s=r.shape[0];if(s!==1)throw new Error(`NetInput - tf.Tensor4D with batchSize ${s} passed, but not supported in input array`);this._imageTensors[n]=r,this._inputDimensions[n]=r.shape.slice(1);return}let a=r instanceof P.getEnv().Canvas?r:We(r);this._canvases[n]=a,this._inputDimensions[n]=[a.height,a.width,3]})}get imageTensors(){return this._imageTensors}get canvases(){return this._canvases}get isBatchInput(){return this.batchSize>1||this._treatAsBatchInput}get batchSize(){return this._batchSize}get inputDimensions(){return this._inputDimensions}get inputSize(){return this._inputSize}get reshapedInputDimensions(){return it(this.batchSize,0,1).map((t,e)=>this.getReshapedInputDimensions(e))}getInput(t){return this.canvases[t]||this.imageTensors[t]}getInputDimensions(t){return this._inputDimensions[t]}getInputHeight(t){return this._inputDimensions[t][0]}getInputWidth(t){return this._inputDimensions[t][1]}getReshapedInputDimensions(t){if(typeof this.inputSize!="number")throw new Error("getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet");let e=this.getInputWidth(t),r=this.getInputHeight(t);return Rr({width:e,height:r},this.inputSize)}toBatchTensor(t,e=!0){return this._inputSize=t,V.tidy(()=>{let r=it(this.batchSize,0,1).map(a=>{let s=this.getInput(a);if(s instanceof V.Tensor){let i=U(s)?s:V.expandDims(s);return i=Vr(i,e),(i.shape[1]!==t||i.shape[2]!==t)&&(i=V.image.resizeBilinear(i,[t,t],!1,!1)),i.as3D(t,t,3)}if(s instanceof P.getEnv().Canvas)return V.browser.fromPixels(eo(s,t,e));throw new Error(`toBatchTensor - at batchIdx ${a}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${s}`)});return V.stack(r.map(a=>V.cast(a,"float32"))).as4D(this.batchSize,t,t,3)})}};async function C(o){if(o instanceof ut)return o;let t=Array.isArray(o)?o:[o];if(!t.length)throw new Error("toNetInput - empty array passed as input");let e=n=>Array.isArray(o)?` at input index ${n}:`:"",r=t.map(Ut);return r.forEach((n,a)=>{if(!ir(n)&&!ht(n)&&!U(n))throw typeof t[a]=="string"?new Error(`toNetInput -${e(a)} string passed, but could not resolve HTMLElement for element id ${t[a]}`):new Error(`toNetInput -${e(a)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);if(U(n)){let s=n.shape[0];if(s!==1)throw new Error(`toNetInput -${e(a)} tf.Tensor4D with batchSize ${s} passed, but not supported in input array`)}}),await Promise.all(r.map(n=>ir(n)&&Kr(n))),new ut(r,Array.isArray(o))}async function le(o,t){let{Canvas:e}=P.getEnv(),r=o;if(!(o instanceof e)){let s=await C(o);if(s.batchSize>1)throw new Error("extractFaces - batchSize > 1 not supported");let i=s.getInput(0);r=i instanceof e?i:await to(i)}let n=O(r);return t.map(s=>s instanceof M?s.forSize(r.width,r.height).box.floor():s).map(s=>s.clipAtImageBorders(r.width,r.height)).map(({x:s,y:i,width:c,height:m})=>{let p=Jt({width:c,height:m});return c>0&&m>0&&O(p).putImageData(n.getImageData(s,i,c,m),0,0),p})}var cr=v(x());async function de(o,t){if(!ht(o)&&!U(o))throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");if(U(o)&&o.shape[0]>1)throw new Error("extractFaceTensors - batchSize > 1 not supported");return cr.tidy(()=>{let[e,r,n]=o.shape.slice(U(o)?1:0);return t.map(i=>i instanceof M?i.forSize(r,e).box:i).map(i=>i.clipAtImageBorders(r,e)).filter(i=>i.width>0&&i.height>0).map(({x:i,y:c,width:m,height:p})=>cr.slice3d(o.as3D(e,r,n),[c,i,0],[p,m,n]))})}async function xt(o,t){let{fetch:e}=P.getEnv(),r=await e(o,t);if(!(r.status<400))throw new Error(`failed to fetch: (${r.status}) ${r.statusText}, from url: ${r.url}`);return r}async function An(o){let t=await xt(o),e=await t.blob();if(!e.type.startsWith("image/"))throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${e.type}, for url: ${t.url}`);return Qr(e)}async function ro(o){return(await xt(o)).json()}async function Wn(o){return new Float32Array(await(await xt(o)).arrayBuffer())}function wo(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToVideo - expected buf to be of type: Blob"));let r=P.getEnv().createVideoElement();r.oncanplay=()=>t(r),r.onerror=e,r.playsInline=!0,r.muted=!0,r.src=URL.createObjectURL(o),r.play()})}async function kn(o){let t=await xt(o),e=await t.blob();if(!e.type.startsWith("video/"))throw new Error(`fetchVideo - expected blob type to be of type video/*, instead have: ${e.type}, for url: ${t.url}`);return wo(e)}var Fo=v(x());function mr(o,t){let e=`${t}-weights_manifest.json`;if(!o)return{modelBaseUri:"",manifestUri:e};if(o==="/")return{modelBaseUri:"/",manifestUri:`/${e}`};let r=o.startsWith("http://")?"http://":o.startsWith("https://")?"https://":"";o=o.replace(r,"");let n=o.split("/").filter(i=>i),a=o.endsWith(".json")?n[n.length-1]:e,s=r+(o.endsWith(".json")?n.slice(0,n.length-1):n).join("/");return s=o.startsWith("/")?`/${s}`:s,{modelBaseUri:s,manifestUri:s==="/"?`/${a}`:`${s}/${a}`}}async function oo(o,t){let{manifestUri:e,modelBaseUri:r}=mr(o,t),n=await ro(e);return Fo.io.loadWeights(n,r)}function Bn(o,t,e=!1){let{width:r,height:n}=e?Xt(t):t;return o.width=r,o.height=n,{width:r,height:n}}var ye=v(x());var vt=v(x());var A=class{constructor(t){this._params=void 0;this._paramMappings=[];this._name=t}get params(){return this._params}get paramMappings(){return this._paramMappings}get isLoaded(){return!!this.params}getParamFromPath(t){let{obj:e,objProp:r}=this.traversePropertyPath(t);return e[r]}reassignParamFromPath(t,e){let{obj:r,objProp:n}=this.traversePropertyPath(t);r[n].dispose(),r[n]=e}getParamList(){return this._paramMappings.map(({paramPath:t})=>({path:t,tensor:this.getParamFromPath(t)}))}getTrainableParams(){return this.getParamList().filter(t=>t.tensor instanceof vt.Variable)}getFrozenParams(){return this.getParamList().filter(t=>!(t.tensor instanceof vt.Variable))}variable(){this.getFrozenParams().forEach(({path:t,tensor:e})=>{this.reassignParamFromPath(t,e.variable())})}freeze(){this.getTrainableParams().forEach(({path:t,tensor:e})=>{let r=vt.tensor(e.dataSync());e.dispose(),this.reassignParamFromPath(t,r)})}dispose(t=!0){this.getParamList().forEach(e=>{if(t&&e.tensor.isDisposed)throw new Error(`param tensor has already been disposed for path ${e.path}`);e.tensor.dispose()}),this._params=void 0}serializeParams(){return new Float32Array(this.getParamList().map(({tensor:t})=>Array.from(t.dataSync())).reduce((t,e)=>t.concat(e)))}async load(t){if(t instanceof Float32Array){this.extractWeights(t);return}await this.loadFromUri(t)}async loadFromUri(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromUri - expected model uri`);let e=await oo(t,this.getDefaultModelName());this.loadFromWeightMap(e)}async loadFromDisk(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromDisk - expected model file path`);let{readFile:e}=P.getEnv(),{manifestUri:r,modelBaseUri:n}=mr(t,this.getDefaultModelName()),a=m=>Promise.all(m.map(p=>e(p).then(u=>u.buffer))),s=vt.io.weightsLoaderFactory(a),i=JSON.parse((await e(r)).toString()),c=await s(i,n);this.loadFromWeightMap(c)}loadFromWeightMap(t){let{paramMappings:e,params:r}=this.extractParamsFromWeightMap(t);this._paramMappings=e,this._params=r}extractWeights(t){let{paramMappings:e,params:r}=this.extractParams(t);this._paramMappings=e,this._params=r}traversePropertyPath(t){if(!this.params)throw new Error("traversePropertyPath - model has no loaded params");let e=t.split("/").reduce((a,s)=>{if(!a.nextObj.hasOwnProperty(s))throw new Error(`traversePropertyPath - object does not have property ${s}, for path ${t}`);return{obj:a.nextObj,objProp:s,nextObj:a.nextObj[s]}},{nextObj:this.params}),{obj:r,objProp:n}=e;if(!r||!n||!(r[n]instanceof vt.Tensor))throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${t}`);return{obj:r,objProp:n}}};var I=v(x());var he=v(x());function H(o,t,e){return he.tidy(()=>{let r=he.separableConv2d(o,t.depthwise_filter,t.pointwise_filter,e,"same");return r=he.add(r,t.bias),r})}function pr(o,t,e=!1){return I.tidy(()=>{let r=I.relu(e?I.add(I.conv2d(o,t.conv0.filters,[2,2],"same"),t.conv0.bias):H(o,t.conv0,[2,2])),n=H(r,t.conv1,[1,1]),a=I.relu(I.add(r,n)),s=H(a,t.conv2,[1,1]);return I.relu(I.add(r,I.add(n,s)))})}function ke(o,t,e=!1,r=!0){return I.tidy(()=>{let n=I.relu(e?I.add(I.conv2d(o,t.conv0.filters,r?[2,2]:[1,1],"same"),t.conv0.bias):H(o,t.conv0,r?[2,2]:[1,1])),a=H(n,t.conv1,[1,1]),s=I.relu(I.add(n,a)),i=H(s,t.conv2,[1,1]),c=I.relu(I.add(n,I.add(a,i))),m=H(c,t.conv3,[1,1]);return I.relu(I.add(n,I.add(a,I.add(i,m))))})}var It=v(x());function qt(o,t,e="same",r=!1){return It.tidy(()=>{let n=It.add(It.conv2d(o,t.filters,[1,1],e),t.bias);return r?It.relu(n):n})}function B(o,t){Object.keys(o).forEach(e=>{t.some(r=>r.originalPath===e)||o[e].dispose()})}var ur=v(x());function be(o,t){return(e,r,n,a)=>{let s=ur.tensor4d(o(e*r*n*n),[n,n,e,r]),i=ur.tensor1d(o(r));return t.push({paramPath:`${a}/filters`},{paramPath:`${a}/bias`}),{filters:s,bias:i}}}var fr=v(x());function lr(o,t){return(e,r,n)=>{let a=fr.tensor2d(o(e*r),[e,r]),s=fr.tensor1d(o(r));return t.push({paramPath:`${n}/weights`},{paramPath:`${n}/bias`}),{weights:a,bias:s}}}var Re=v(x());var Be=class{constructor(t,e,r){this.depthwise_filter=t;this.pointwise_filter=e;this.bias=r}};function ge(o,t){return(e,r,n)=>{let a=Re.tensor4d(o(9*e),[3,3,e,1]),s=Re.tensor4d(o(e*r),[1,1,e,r]),i=Re.tensor1d(o(r));return t.push({paramPath:`${n}/depthwise_filter`},{paramPath:`${n}/pointwise_filter`},{paramPath:`${n}/bias`}),new Be(a,s,i)}}function xe(o){return t=>{let e=o(`${t}/depthwise_filter`,4),r=o(`${t}/pointwise_filter`,4),n=o(`${t}/bias`,1);return new Be(e,r,n)}}function Y(o,t){return(e,r,n)=>{let a=o[e];if(!Ot(a,r))throw new Error(`expected weightMap[${e}] to be a Tensor${r}D, instead have ${a}`);return t.push({originalPath:e,paramPath:n||e}),a}}function R(o){let t=o;function e(n){let a=t.slice(0,n);return t=t.slice(n),a}function r(){return t}return{extractWeights:e,getRemainingWeights:r}}function dr(o,t){let e=be(o,t),r=ge(o,t);function n(s,i,c,m=!1){let p=m?e(s,i,3,`${c}/conv0`):r(s,i,`${c}/conv0`),u=r(i,i,`${c}/conv1`),f=r(i,i,`${c}/conv2`);return{conv0:p,conv1:u,conv2:f}}function a(s,i,c,m=!1){let{conv0:p,conv1:u,conv2:f}=n(s,i,c,m),l=r(i,i,`${c}/conv3`);return{conv0:p,conv1:u,conv2:f,conv3:l}}return{extractDenseBlock3Params:n,extractDenseBlock4Params:a}}function Do(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractDenseBlock4Params:n}=dr(e,t),a=n(3,32,"dense0",!0),s=n(32,64,"dense1"),i=n(64,128,"dense2"),c=n(128,256,"dense3");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:a,dense1:s,dense2:i,dense3:c}}}function hr(o){return t=>{let e=o(`${t}/filters`,4),r=o(`${t}/bias`,1);return{filters:e,bias:r}}}function br(o,t){let e=Y(o,t),r=hr(e),n=xe(e);function a(i,c=!1){let m=c?r(`${i}/conv0`):n(`${i}/conv0`),p=n(`${i}/conv1`),u=n(`${i}/conv2`);return{conv0:m,conv1:p,conv2:u}}function s(i,c=!1){let m=c?r(`${i}/conv0`):n(`${i}/conv0`),p=n(`${i}/conv1`),u=n(`${i}/conv2`),f=n(`${i}/conv3`);return{conv0:m,conv1:p,conv2:u,conv3:f}}return{extractDenseBlock3Params:a,extractDenseBlock4Params:s}}function Eo(o){let t=[],{extractDenseBlock4Params:e}=br(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2"),dense3:e("dense3")};return B(o,t),{params:r,paramMappings:t}}var ve=class extends A{constructor(){super("FaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceFeatureExtractor - load model before inference");return ye.tidy(()=>{let r=ye.cast(t.toBatchTensor(112,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=ke(a,e.dense0,!0);return s=ke(s,e.dense1),s=ke(s,e.dense2),s=ke(s,e.dense3),s=ye.avgPool(s,[7,7],[2,2],"valid"),s})}async forward(t){return this.forwardInput(await C(t))}getDefaultModelName(){return"face_feature_extractor_model"}extractParamsFromWeightMap(t){return Eo(t)}extractParams(t){return Do(t)}};var Io=v(x());var _e=v(x());function $e(o,t){return _e.tidy(()=>_e.add(_e.matMul(o,t.weights),t.bias))}function Mo(o,t,e){let r=[],{extractWeights:n,getRemainingWeights:a}=R(o),i=lr(n,r)(t,e,"fc");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:r,params:{fc:i}}}function Co(o){let t=[],e=Y(o,t);function r(a){let s=e(`${a}/weights`,2),i=e(`${a}/bias`,1);return{weights:s,bias:i}}let n={fc:r("fc")};return B(o,t),{params:n,paramMappings:t}}function gr(o){let t={},e={};return Object.keys(o).forEach(r=>{let n=r.startsWith("fc")?e:t;n[r]=o[r]}),{featureExtractorMap:t,classifierMap:e}}var Te=class extends A{constructor(e,r){super(e);this._faceFeatureExtractor=r}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return Io.tidy(()=>{let n=e instanceof ut?this.faceFeatureExtractor.forwardInput(e):e;return $e(n.as2D(n.shape[0],-1),r.fc)})}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:n}=this.extractClassifierParams(e);this._params=r,this._paramMappings=n}extractClassifierParams(e){return Mo(e,this.getClassifierChannelsIn(),this.getClassifierChannelsOut())}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:n}=gr(e);return this.faceFeatureExtractor.loadFromWeightMap(r),Co(n)}extractParams(e){let r=this.getClassifierChannelsIn(),n=this.getClassifierChannelsOut(),a=n*r+n,s=e.slice(0,e.length-a),i=e.slice(e.length-a);return this.faceFeatureExtractor.extractWeights(s),this.extractClassifierParams(i)}};var no=["neutral","happy","sad","angry","fearful","disgusted","surprised"],yt=class{constructor(t){this.neutral=0;this.happy=0;this.sad=0;this.angry=0;this.fearful=0;this.disgusted=0;this.surprised=0;if(t.length!==7)throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${t.length}`);no.forEach((e,r)=>{this[e]=t[r]})}asSortedArray(){return no.map(t=>({expression:t,probability:this[t]})).sort((t,e)=>e.probability-t.probability)}};var Oe=class extends Te{constructor(t=new ve){super("FaceExpressionNet",t)}forwardInput(t){return Pe.tidy(()=>Pe.softmax(this.runNet(t)))}async forward(t){return this.forwardInput(await C(t))}async predictExpressions(t){let e=await C(t),r=await this.forwardInput(e),n=await Promise.all(Pe.unstack(r).map(async s=>{let i=s.dataSync();return s.dispose(),i}));r.dispose();let a=n.map(s=>new yt(s));return e.isBatchInput?a:a[0]}getDefaultModelName(){return"face_expression_model"}getClassifierChannelsIn(){return 256}getClassifierChannelsOut(){return 7}};function ao(o){return o.expressions instanceof yt}function xr(o,t){return{...o,...{expressions:t}}}function Rn(o,t,e=.1,r){(Array.isArray(t)?t:[t]).forEach(a=>{let s=a instanceof yt?a:ao(a)?a.expressions:void 0;if(!s)throw new Error("drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof");let c=s.asSortedArray().filter(u=>u.probability>e),m=pt(a)?a.detection.box.bottomLeft:r||new b(0,0);new gt(c.map(u=>`${u.expression} (${Ht(u.probability)})`),m).draw(o)})}function Zt(o){return pt(o)&&o.landmarks instanceof z&&o.unshiftedLandmarks instanceof z&&o.alignedRect instanceof M}function $n(o){let t=(i,c,m,p)=>Math.atan2(p-c,m-i)%Math.PI,e=i=>i*180/Math.PI,r={roll:void 0,pitch:void 0,yaw:void 0};if(!o||!o._positions||o._positions.length!==68)return r;let n=o._positions;r.roll=-t(n[36]._x,n[36]._y,n[45]._x,n[45]._y),r.pitch=t(0,Math.abs(n[0]._x-n[30]._x)/n[30]._x,Math.PI,Math.abs(n[16]._x-n[30]._x)/n[30]._x);let a=n.reduce((i,c)=>ii>c._y?i:c._y,-1/0);return r.yaw=Math.PI*(o._imgDims._height/(s-a)/1.4-1),r}function we(o,t){let{box:e}=o.detection,r=t.shiftBy(e.x,e.y),n=r.align(),{imageDims:a}=o.detection,s=new M(o.detection.score,n.rescale(a.reverse()),a),i=$n(t);return{...o,...{landmarks:r,unshiftedLandmarks:t,alignedRect:s,angle:i}}}var vr=class{constructor(t={}){let{drawLines:e=!0,drawPoints:r=!0,lineWidth:n,lineColor:a,pointSize:s,pointColor:i}=t;this.drawLines=e,this.drawPoints=r,this.lineWidth=n||1,this.pointSize=s||2,this.lineColor=a||"rgba(0, 255, 255, 1)",this.pointColor=i||"rgba(255, 0, 255, 1)"}},yr=class{constructor(t,e={}){this.faceLandmarks=t,this.options=new vr(e)}draw(t){let e=O(t),{drawLines:r,drawPoints:n,lineWidth:a,lineColor:s,pointSize:i,pointColor:c}=this.options;if(r&&this.faceLandmarks instanceof Gt&&(e.strokeStyle=s,e.lineWidth=a,dt(e,this.faceLandmarks.getJawOutline()),dt(e,this.faceLandmarks.getLeftEyeBrow()),dt(e,this.faceLandmarks.getRightEyeBrow()),dt(e,this.faceLandmarks.getNose()),dt(e,this.faceLandmarks.getLeftEye(),!0),dt(e,this.faceLandmarks.getRightEye(),!0),dt(e,this.faceLandmarks.getMouth(),!0)),n){e.strokeStyle=c,e.fillStyle=c;let m=p=>{e.beginPath(),e.arc(p.x,p.y,i,0,2*Math.PI),e.fill()};this.faceLandmarks.positions.forEach(m)}}};function On(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let n=r instanceof z?r:Zt(r)?r.landmarks:void 0;if(!n)throw new Error("drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks> or array thereof");new yr(n).draw(o)})}var No="1.7.5";var ft=v(x());var S=v(x());function Vn(o,t){let e=be(o,t),r=ge(o,t);function n(s,i,c){let m=r(s,i,`${c}/separable_conv0`),p=r(i,i,`${c}/separable_conv1`),u=e(s,i,1,`${c}/expansion_conv`);return{separable_conv0:m,separable_conv1:p,expansion_conv:u}}function a(s,i){let c=r(s,s,`${i}/separable_conv0`),m=r(s,s,`${i}/separable_conv1`),p=r(s,s,`${i}/separable_conv2`);return{separable_conv0:c,separable_conv1:m,separable_conv2:p}}return{extractConvParams:e,extractSeparableConvParams:r,extractReductionBlockParams:n,extractMainBlockParams:a}}function So(o,t){let e=[],{extractWeights:r,getRemainingWeights:n}=R(o),{extractConvParams:a,extractSeparableConvParams:s,extractReductionBlockParams:i,extractMainBlockParams:c}=Vn(r,e),m=a(3,32,3,"entry_flow/conv_in"),p=i(32,64,"entry_flow/reduction_block_0"),u=i(64,128,"entry_flow/reduction_block_1"),f={conv_in:m,reduction_block_0:p,reduction_block_1:u},l={};it(t,0,1).forEach(h=>{l[`main_block_${h}`]=c(128,`middle_flow/main_block_${h}`)});let g=i(128,256,"exit_flow/reduction_block"),T=s(256,512,"exit_flow/separable_conv"),D={reduction_block:g,separable_conv:T};if(n().length!==0)throw new Error(`weights remaing after extract: ${n().length}`);return{paramMappings:e,params:{entry_flow:f,middle_flow:l,exit_flow:D}}}function Yn(o,t){let e=Y(o,t),r=hr(e),n=xe(e);function a(i){let c=n(`${i}/separable_conv0`),m=n(`${i}/separable_conv1`),p=r(`${i}/expansion_conv`);return{separable_conv0:c,separable_conv1:m,expansion_conv:p}}function s(i){let c=n(`${i}/separable_conv0`),m=n(`${i}/separable_conv1`),p=n(`${i}/separable_conv2`);return{separable_conv0:c,separable_conv1:m,separable_conv2:p}}return{extractConvParams:r,extractSeparableConvParams:n,extractReductionBlockParams:a,extractMainBlockParams:s}}function Lo(o,t){let e=[],{extractConvParams:r,extractSeparableConvParams:n,extractReductionBlockParams:a,extractMainBlockParams:s}=Yn(o,e),i=r("entry_flow/conv_in"),c=a("entry_flow/reduction_block_0"),m=a("entry_flow/reduction_block_1"),p={conv_in:i,reduction_block_0:c,reduction_block_1:m},u={};it(t,0,1).forEach(T=>{u[`main_block_${T}`]=s(`middle_flow/main_block_${T}`)});let f=a("exit_flow/reduction_block"),l=n("exit_flow/separable_conv"),g={reduction_block:f,separable_conv:l};return B(o,e),{params:{entry_flow:p,middle_flow:u,exit_flow:g},paramMappings:e}}function Ao(o,t,e){return S.add(S.conv2d(o,t.filters,e,"same"),t.bias)}function io(o,t,e=!0){let r=e?S.relu(o):o;return r=H(r,t.separable_conv0,[1,1]),r=H(S.relu(r),t.separable_conv1,[1,1]),r=S.maxPool(r,[3,3],[2,2],"same"),r=S.add(r,Ao(o,t.expansion_conv,[2,2])),r}function Gn(o,t){let e=H(S.relu(o),t.separable_conv0,[1,1]);return e=H(S.relu(e),t.separable_conv1,[1,1]),e=H(S.relu(e),t.separable_conv2,[1,1]),e=S.add(e,o),e}var _r=class extends A{constructor(e){super("TinyXception");this._numMainBlocks=e}forwardInput(e){let{params:r}=this;if(!r)throw new Error("TinyXception - load model before inference");return S.tidy(()=>{let n=S.cast(e.toBatchTensor(112,!0),"float32"),s=rt(n,[122.782,117.001,104.298]).div(255),i=S.relu(Ao(s,r.entry_flow.conv_in,[2,2]));return i=io(i,r.entry_flow.reduction_block_0,!1),i=io(i,r.entry_flow.reduction_block_1),it(this._numMainBlocks,0,1).forEach(c=>{i=Gn(i,r.middle_flow[`main_block_${c}`])}),i=io(i,r.exit_flow.reduction_block),i=S.relu(H(i,r.exit_flow.separable_conv,[1,1])),i})}async forward(e){return this.forwardInput(await C(e))}getDefaultModelName(){return"tiny_xception_model"}extractParamsFromWeightMap(e){return Lo(e,this._numMainBlocks)}extractParams(e){return So(e,this._numMainBlocks)}};function Wo(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),n=lr(e,t),a=n(512,1,"fc/age"),s=n(512,2,"fc/gender");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{fc:{age:a,gender:s}}}}function ko(o){let t=[],e=Y(o,t);function r(a){let s=e(`${a}/weights`,2),i=e(`${a}/bias`,1);return{weights:s,bias:i}}let n={fc:{age:r("fc/age"),gender:r("fc/gender")}};return B(o,t),{params:n,paramMappings:t}}var Tr=(e=>(e.FEMALE="female",e.MALE="male",e))(Tr||{});var He=class extends A{constructor(e=new _r(2)){super("AgeGenderNet");this._faceFeatureExtractor=e}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return ft.tidy(()=>{let n=e instanceof ut?this.faceFeatureExtractor.forwardInput(e):e,a=ft.avgPool(n,[7,7],[2,2],"valid").as2D(n.shape[0],-1),s=$e(a,r.fc.age).as1D(),i=$e(a,r.fc.gender);return{age:s,gender:i}})}forwardInput(e){return ft.tidy(()=>{let{age:r,gender:n}=this.runNet(e);return{age:r,gender:ft.softmax(n)}})}async forward(e){return this.forwardInput(await C(e))}async predictAgeAndGender(e){let r=await C(e),n=await this.forwardInput(r),a=ft.unstack(n.age),s=ft.unstack(n.gender),i=a.map((m,p)=>({ageTensor:m,genderTensor:s[p]})),c=await Promise.all(i.map(async({ageTensor:m,genderTensor:p})=>{let u=m.dataSync()[0],f=p.dataSync()[0],l=f>.5,g=l?"male":"female",T=l?f:1-f;return m.dispose(),p.dispose(),{age:u,gender:g,genderProbability:T}}));return n.age.dispose(),n.gender.dispose(),r.isBatchInput?c:c[0]}getDefaultModelName(){return"age_gender_model"}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:n}=this.extractClassifierParams(e);this._params=r,this._paramMappings=n}extractClassifierParams(e){return Wo(e)}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:n}=gr(e);return this.faceFeatureExtractor.loadFromWeightMap(r),ko(n)}extractParams(e){let n=e.slice(0,e.length-1539),a=e.slice(e.length-1539);return this.faceFeatureExtractor.extractWeights(n),this.extractClassifierParams(a)}};var G=v(x());var Fe=class extends Te{postProcess(t,e,r){let n=r.map(({width:s,height:i})=>{let c=e/Math.max(i,s);return{width:s*c,height:i*c}}),a=n.length;return G.tidy(()=>{let s=(u,f)=>G.stack([G.fill([68],u,"float32"),G.fill([68],f,"float32")],1).as2D(1,136).as1D(),i=(u,f)=>{let{width:l,height:g}=n[u];return f(l,g)?Math.abs(l-g)/2:0},c=u=>i(u,(f,l)=>fi(u,(f,l)=>ls(c(f),m(f))))).div(G.stack(Array.from(Array(a),(u,f)=>s(n[f].width,n[f].height))))})}forwardInput(t){return G.tidy(()=>{let e=this.runNet(t);return this.postProcess(e,t.inputSize,t.inputDimensions.map(([r,n])=>({height:r,width:n})))})}async forward(t){return this.forwardInput(await C(t))}async detectLandmarks(t){let e=await C(t),r=G.tidy(()=>G.unstack(this.forwardInput(e))),n=await Promise.all(r.map(async(a,s)=>{let i=Array.from(a.dataSync()),c=i.filter((p,u)=>rr(u)),m=i.filter((p,u)=>!rr(u));return new Gt(Array(68).fill(0).map((p,u)=>new b(c[u],m[u])),{height:e.getInputHeight(s),width:e.getInputWidth(s)})}));return r.forEach(a=>a.dispose()),e.isBatchInput?n:n[0]}getClassifierChannelsOut(){return 136}};var Kt=class extends Fe{constructor(t=new ve){super("FaceLandmark68Net",t)}getDefaultModelName(){return"face_landmark_68_model"}getClassifierChannelsIn(){return 256}};var De=v(x());function Bo(o){let t=[],{extractDenseBlock3Params:e}=br(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2")};return B(o,t),{params:r,paramMappings:t}}function Ro(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractDenseBlock3Params:n}=dr(e,t),a=n(3,32,"dense0",!0),s=n(32,64,"dense1"),i=n(64,128,"dense2");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:a,dense1:s,dense2:i}}}var Pr=class extends A{constructor(){super("TinyFaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("TinyFaceFeatureExtractor - load model before inference");return De.tidy(()=>{let r=De.cast(t.toBatchTensor(112,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=pr(a,e.dense0,!0);return s=pr(s,e.dense1),s=pr(s,e.dense2),s=De.avgPool(s,[14,14],[2,2],"valid"),s})}async forward(t){return this.forwardInput(await C(t))}getDefaultModelName(){return"face_feature_extractor_tiny_model"}extractParamsFromWeightMap(t){return Bo(t)}extractParams(t){return Ro(t)}};var ze=class extends Fe{constructor(t=new Pr){super("FaceLandmark68TinyNet",t)}getDefaultModelName(){return"face_landmark_68_tiny_model"}getClassifierChannelsIn(){return 128}};var co=class extends Kt{};var nt=v(x());var Ee=v(x());var wr=v(x());function $o(o,t){return wr.add(wr.mul(o,t.weights),t.biases)}function mo(o,t,e,r,n="same"){let{filters:a,bias:s}=t.conv,i=Ee.conv2d(o,a,e,n);return i=Ee.add(i,s),i=$o(i,t.scale),r?Ee.relu(i):i}function Oo(o,t){return mo(o,t,[1,1],!0)}function po(o,t){return mo(o,t,[1,1],!1)}function Fr(o,t){return mo(o,t,[2,2],!0,"valid")}var j=v(x());function jn(o,t){function e(i,c,m){let p=o(i),u=p.length/(c*m*m);if(Br(u))throw new Error(`depth has to be an integer: ${u}, weights.length: ${p.length}, numFilters: ${c}, filterSize: ${m}`);return j.tidy(()=>j.transpose(j.tensor4d(p,[c,u,m,m]),[2,3,1,0]))}function r(i,c,m,p){let u=e(i,c,m),f=j.tensor1d(o(c));return t.push({paramPath:`${p}/filters`},{paramPath:`${p}/bias`}),{filters:u,bias:f}}function n(i,c){let m=j.tensor1d(o(i)),p=j.tensor1d(o(i));return t.push({paramPath:`${c}/weights`},{paramPath:`${c}/biases`}),{weights:m,biases:p}}function a(i,c,m,p){let u=r(i,c,m,`${p}/conv`),f=n(c,`${p}/scale`);return{conv:u,scale:f}}function s(i,c,m,p,u=!1){let f=a((u?.5:1)*i,c,m,`${p}/conv1`),l=a(i,c,m,`${p}/conv2`);return{conv1:f,conv2:l}}return{extractConvLayerParams:a,extractResidualLayerParams:s}}function Ho(o){let{extractWeights:t,getRemainingWeights:e}=R(o),r=[],{extractConvLayerParams:n,extractResidualLayerParams:a}=jn(t,r),s=n(4704,32,7,"conv32_down"),i=a(9216,32,3,"conv32_1"),c=a(9216,32,3,"conv32_2"),m=a(9216,32,3,"conv32_3"),p=a(36864,64,3,"conv64_down",!0),u=a(36864,64,3,"conv64_1"),f=a(36864,64,3,"conv64_2"),l=a(36864,64,3,"conv64_3"),g=a(147456,128,3,"conv128_down",!0),T=a(147456,128,3,"conv128_1"),D=a(147456,128,3,"conv128_2"),h=a(589824,256,3,"conv256_down",!0),_=a(589824,256,3,"conv256_1"),y=a(589824,256,3,"conv256_2"),E=a(589824,256,3,"conv256_down_out"),W=j.tidy(()=>j.transpose(j.tensor2d(t(256*128),[128,256]),[1,0]));if(r.push({paramPath:"fc"}),e().length!==0)throw new Error(`weights remaing after extract: ${e().length}`);return{params:{conv32_down:s,conv32_1:i,conv32_2:c,conv32_3:m,conv64_down:p,conv64_1:u,conv64_2:f,conv64_3:l,conv128_down:g,conv128_1:T,conv128_2:D,conv256_down:h,conv256_1:_,conv256_2:y,conv256_down_out:E,fc:W},paramMappings:r}}function Un(o,t){let e=Y(o,t);function r(s){let i=e(`${s}/scale/weights`,1),c=e(`${s}/scale/biases`,1);return{weights:i,biases:c}}function n(s){let i=e(`${s}/conv/filters`,4),c=e(`${s}/conv/bias`,1),m=r(s);return{conv:{filters:i,bias:c},scale:m}}function a(s){return{conv1:n(`${s}/conv1`),conv2:n(`${s}/conv2`)}}return{extractConvLayerParams:n,extractResidualLayerParams:a}}function zo(o){let t=[],{extractConvLayerParams:e,extractResidualLayerParams:r}=Un(o,t),n=e("conv32_down"),a=r("conv32_1"),s=r("conv32_2"),i=r("conv32_3"),c=r("conv64_down"),m=r("conv64_1"),p=r("conv64_2"),u=r("conv64_3"),f=r("conv128_down"),l=r("conv128_1"),g=r("conv128_2"),T=r("conv256_down"),D=r("conv256_1"),h=r("conv256_2"),_=r("conv256_down_out"),{fc:y}=o;if(t.push({originalPath:"fc",paramPath:"fc"}),!kr(y))throw new Error(`expected weightMap[fc] to be a Tensor2D, instead have ${y}`);let E={conv32_down:n,conv32_1:a,conv32_2:s,conv32_3:i,conv64_down:c,conv64_1:m,conv64_2:p,conv64_3:u,conv128_down:f,conv128_1:l,conv128_2:g,conv256_down:T,conv256_1:D,conv256_2:h,conv256_down_out:_,fc:y};return B(o,t),{params:E,paramMappings:t}}var $=v(x());function ot(o,t){let e=Oo(o,t.conv1);return e=po(e,t.conv2),e=$.add(e,o),e=$.relu(e),e}function Ve(o,t){let e=Fr(o,t.conv1);e=po(e,t.conv2);let r=$.avgPool(o,2,2,"valid"),n=$.zeros(r.shape),a=r.shape[3]!==e.shape[3];if(r.shape[1]!==e.shape[1]||r.shape[2]!==e.shape[2]){let i=[...e.shape];i[1]=1;let c=$.zeros(i);e=$.concat([e,c],1);let m=[...e.shape];m[2]=1;let p=$.zeros(m);e=$.concat([e,p],2)}return r=a?$.concat([r,n],3):r,e=$.add(r,e),e=$.relu(e),e}var Qt=class extends A{constructor(){super("FaceRecognitionNet")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceRecognitionNet - load model before inference");return nt.tidy(()=>{let r=nt.cast(t.toBatchTensor(150,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=Fr(a,e.conv32_down);s=nt.maxPool(s,3,2,"valid"),s=ot(s,e.conv32_1),s=ot(s,e.conv32_2),s=ot(s,e.conv32_3),s=Ve(s,e.conv64_down),s=ot(s,e.conv64_1),s=ot(s,e.conv64_2),s=ot(s,e.conv64_3),s=Ve(s,e.conv128_down),s=ot(s,e.conv128_1),s=ot(s,e.conv128_2),s=Ve(s,e.conv256_down),s=ot(s,e.conv256_1),s=ot(s,e.conv256_2),s=Ve(s,e.conv256_down_out);let i=s.mean([1,2]);return nt.matMul(i,e.fc)})}async forward(t){return this.forwardInput(await C(t))}async computeFaceDescriptor(t){var a;if((a=t==null?void 0:t.shape)!=null&&a.some(s=>s<=0))return new Float32Array(128);let e=await C(t),r=nt.tidy(()=>nt.unstack(this.forwardInput(e))),n=await Promise.all(r.map(s=>s.data()));return r.forEach(s=>s.dispose()),e.isBatchInput?n:n[0]}getDefaultModelName(){return"face_recognition_model"}extractParamsFromWeightMap(t){return zo(t)}extractParams(t){return Ho(t)}};function Xn(o){let t=new Qt;return t.extractWeights(o),t}function Dr(o,t){return{...o,...{descriptor:t}}}function Jn(o){return typeof o.age=="number"}function Er(o,t){return{...o,...{age:t}}}function qn(o){return(o.gender==="male"||o.gender==="female")&&me(o.genderProbability)}function Mr(o,t,e){return{...o,...{gender:t,genderProbability:e}}}var Lt=v(x());var at=v(x());function Zn(o,t){function e(c,m){let p=at.tensor4d(o(9*c),[3,3,c,1]),u=at.tensor1d(o(c)),f=at.tensor1d(o(c)),l=at.tensor1d(o(c)),g=at.tensor1d(o(c));return t.push({paramPath:`${m}/filters`},{paramPath:`${m}/batch_norm_scale`},{paramPath:`${m}/batch_norm_offset`},{paramPath:`${m}/batch_norm_mean`},{paramPath:`${m}/batch_norm_variance`}),{filters:p,batch_norm_scale:u,batch_norm_offset:f,batch_norm_mean:l,batch_norm_variance:g}}function r(c,m,p,u,f){let l=at.tensor4d(o(c*m*p*p),[p,p,c,m]),g=at.tensor1d(o(m));return t.push({paramPath:`${u}/filters`},{paramPath:`${u}/${f?"batch_norm_offset":"bias"}`}),{filters:l,bias:g}}function n(c,m,p,u){let{filters:f,bias:l}=r(c,m,p,u,!0);return{filters:f,batch_norm_offset:l}}function a(c,m,p){let u=e(c,`${p}/depthwise_conv`),f=n(c,m,1,`${p}/pointwise_conv`);return{depthwise_conv:u,pointwise_conv:f}}function s(){let c=n(3,32,3,"mobilenetv1/conv_0"),m=a(32,64,"mobilenetv1/conv_1"),p=a(64,128,"mobilenetv1/conv_2"),u=a(128,128,"mobilenetv1/conv_3"),f=a(128,256,"mobilenetv1/conv_4"),l=a(256,256,"mobilenetv1/conv_5"),g=a(256,512,"mobilenetv1/conv_6"),T=a(512,512,"mobilenetv1/conv_7"),D=a(512,512,"mobilenetv1/conv_8"),h=a(512,512,"mobilenetv1/conv_9"),_=a(512,512,"mobilenetv1/conv_10"),y=a(512,512,"mobilenetv1/conv_11"),E=a(512,1024,"mobilenetv1/conv_12"),W=a(1024,1024,"mobilenetv1/conv_13");return{conv_0:c,conv_1:m,conv_2:p,conv_3:u,conv_4:f,conv_5:l,conv_6:g,conv_7:T,conv_8:D,conv_9:h,conv_10:_,conv_11:y,conv_12:E,conv_13:W}}function i(){let c=n(1024,256,1,"prediction_layer/conv_0"),m=n(256,512,3,"prediction_layer/conv_1"),p=n(512,128,1,"prediction_layer/conv_2"),u=n(128,256,3,"prediction_layer/conv_3"),f=n(256,128,1,"prediction_layer/conv_4"),l=n(128,256,3,"prediction_layer/conv_5"),g=n(256,64,1,"prediction_layer/conv_6"),T=n(64,128,3,"prediction_layer/conv_7"),D=r(512,12,1,"prediction_layer/box_predictor_0/box_encoding_predictor"),h=r(512,9,1,"prediction_layer/box_predictor_0/class_predictor"),_=r(1024,24,1,"prediction_layer/box_predictor_1/box_encoding_predictor"),y=r(1024,18,1,"prediction_layer/box_predictor_1/class_predictor"),E=r(512,24,1,"prediction_layer/box_predictor_2/box_encoding_predictor"),W=r(512,18,1,"prediction_layer/box_predictor_2/class_predictor"),tt=r(256,24,1,"prediction_layer/box_predictor_3/box_encoding_predictor"),lt=r(256,18,1,"prediction_layer/box_predictor_3/class_predictor"),q=r(256,24,1,"prediction_layer/box_predictor_4/box_encoding_predictor"),Dt=r(256,18,1,"prediction_layer/box_predictor_4/class_predictor"),Et=r(128,24,1,"prediction_layer/box_predictor_5/box_encoding_predictor"),Mt=r(128,18,1,"prediction_layer/box_predictor_5/class_predictor");return{conv_0:c,conv_1:m,conv_2:p,conv_3:u,conv_4:f,conv_5:l,conv_6:g,conv_7:T,box_predictor_0:{box_encoding_predictor:D,class_predictor:h},box_predictor_1:{box_encoding_predictor:_,class_predictor:y},box_predictor_2:{box_encoding_predictor:E,class_predictor:W},box_predictor_3:{box_encoding_predictor:tt,class_predictor:lt},box_predictor_4:{box_encoding_predictor:q,class_predictor:Dt},box_predictor_5:{box_encoding_predictor:Et,class_predictor:Mt}}}return{extractMobilenetV1Params:s,extractPredictionLayerParams:i}}function Vo(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractMobilenetV1Params:n,extractPredictionLayerParams:a}=Zn(e,t),s=n(),i=a(),m={extra_dim:at.tensor3d(e(5118*4),[1,5118,4])};if(t.push({paramPath:"output_layer/extra_dim"}),r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{params:{mobilenetv1:s,prediction_layer:i,output_layer:m},paramMappings:t}}function Kn(o,t){let e=Y(o,t);function r(m,p,u){let f=e(`${m}/Conv2d_${p}_pointwise/weights`,4,`${u}/filters`),l=e(`${m}/Conv2d_${p}_pointwise/convolution_bn_offset`,1,`${u}/batch_norm_offset`);return{filters:f,batch_norm_offset:l}}function n(m){let p=`mobilenetv1/conv_${m}`,u=`MobilenetV1/Conv2d_${m}_depthwise`,f=`${p}/depthwise_conv`,l=`${p}/pointwise_conv`,g=e(`${u}/depthwise_weights`,4,`${f}/filters`),T=e(`${u}/BatchNorm/gamma`,1,`${f}/batch_norm_scale`),D=e(`${u}/BatchNorm/beta`,1,`${f}/batch_norm_offset`),h=e(`${u}/BatchNorm/moving_mean`,1,`${f}/batch_norm_mean`),_=e(`${u}/BatchNorm/moving_variance`,1,`${f}/batch_norm_variance`);return{depthwise_conv:{filters:g,batch_norm_scale:T,batch_norm_offset:D,batch_norm_mean:h,batch_norm_variance:_},pointwise_conv:r("MobilenetV1",m,l)}}function a(){return{conv_0:r("MobilenetV1",0,"mobilenetv1/conv_0"),conv_1:n(1),conv_2:n(2),conv_3:n(3),conv_4:n(4),conv_5:n(5),conv_6:n(6),conv_7:n(7),conv_8:n(8),conv_9:n(9),conv_10:n(10),conv_11:n(11),conv_12:n(12),conv_13:n(13)}}function s(m,p){let u=e(`${m}/weights`,4,`${p}/filters`),f=e(`${m}/biases`,1,`${p}/bias`);return{filters:u,bias:f}}function i(m){let p=s(`Prediction/BoxPredictor_${m}/BoxEncodingPredictor`,`prediction_layer/box_predictor_${m}/box_encoding_predictor`),u=s(`Prediction/BoxPredictor_${m}/ClassPredictor`,`prediction_layer/box_predictor_${m}/class_predictor`);return{box_encoding_predictor:p,class_predictor:u}}function c(){return{conv_0:r("Prediction",0,"prediction_layer/conv_0"),conv_1:r("Prediction",1,"prediction_layer/conv_1"),conv_2:r("Prediction",2,"prediction_layer/conv_2"),conv_3:r("Prediction",3,"prediction_layer/conv_3"),conv_4:r("Prediction",4,"prediction_layer/conv_4"),conv_5:r("Prediction",5,"prediction_layer/conv_5"),conv_6:r("Prediction",6,"prediction_layer/conv_6"),conv_7:r("Prediction",7,"prediction_layer/conv_7"),box_predictor_0:i(0),box_predictor_1:i(1),box_predictor_2:i(2),box_predictor_3:i(3),box_predictor_4:i(4),box_predictor_5:i(5)}}return{extractMobilenetV1Params:a,extractPredictionLayerParams:c}}function Yo(o){let t=[],{extractMobilenetV1Params:e,extractPredictionLayerParams:r}=Kn(o,t),n=o["Output/extra_dim"];if(t.push({originalPath:"Output/extra_dim",paramPath:"output_layer/extra_dim"}),!ht(n))throw new Error(`expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have ${n}`);let a={mobilenetv1:e(),prediction_layer:r(),output_layer:{extra_dim:n}};return B(o,t),{params:a,paramMappings:t}}var _t=v(x());var Nt=v(x());function Z(o,t,e){return Nt.tidy(()=>{let r=Nt.conv2d(o,t.filters,e,"same");return r=Nt.add(r,t.batch_norm_offset),Nt.clipByValue(r,0,6)})}var Qn=.0010000000474974513;function ta(o,t,e){return _t.tidy(()=>{let r=_t.depthwiseConv2d(o,t.filters,e,"same");return r=_t.batchNorm(r,t.batch_norm_mean,t.batch_norm_variance,t.batch_norm_offset,t.batch_norm_scale,Qn),_t.clipByValue(r,0,6)})}function ea(o){return[2,4,6,12].some(t=>t===o)?[2,2]:[1,1]}function Go(o,t){return _t.tidy(()=>{let e,r=Z(o,t.conv_0,[2,2]);if([t.conv_1,t.conv_2,t.conv_3,t.conv_4,t.conv_5,t.conv_6,t.conv_7,t.conv_8,t.conv_9,t.conv_10,t.conv_11,t.conv_12,t.conv_13].forEach((a,s)=>{let i=s+1,c=ea(i);r=ta(r,a.depthwise_conv,c),r=Z(r,a.pointwise_conv,[1,1]),i===11&&(e=r)}),e===null)throw new Error("mobileNetV1 - output of conv layer 11 is null");return{out:r,conv11:e}})}function ra(o,t,e){let r=o.arraySync(),n=Math.min(r[t][0],r[t][2]),a=Math.min(r[t][1],r[t][3]),s=Math.max(r[t][0],r[t][2]),i=Math.max(r[t][1],r[t][3]),c=Math.min(r[e][0],r[e][2]),m=Math.min(r[e][1],r[e][3]),p=Math.max(r[e][0],r[e][2]),u=Math.max(r[e][1],r[e][3]),f=(s-n)*(i-a),l=(p-c)*(u-m);if(f<=0||l<=0)return 0;let g=Math.max(n,c),T=Math.max(a,m),D=Math.min(s,p),h=Math.min(i,u),_=Math.max(D-g,0)*Math.max(h-T,0);return _/(f+l-_)}function jo(o,t,e,r,n){let a=o.shape[0],s=Math.min(e,a),i=t.map((p,u)=>({score:p,boxIndex:u})).filter(p=>p.score>n).sort((p,u)=>u.score-p.score),c=p=>p<=r?1:0,m=[];return i.forEach(p=>{if(m.length>=s)return;let u=p.score;for(let f=m.length-1;f>=0;--f){let l=ra(o,p.boxIndex,m[f]);if(l!==0&&(p.score*=c(l),p.score<=n))break}u===p.score&&m.push(p.boxIndex)}),m}var d=v(x());function oa(o){let t=d.unstack(d.transpose(o,[1,0])),e=[d.sub(t[2],t[0]),d.sub(t[3],t[1])],r=[d.add(t[0],d.div(e[0],2)),d.add(t[1],d.div(e[1],2))];return{sizes:e,centers:r}}function na(o,t){let{sizes:e,centers:r}=oa(o),n=d.unstack(d.transpose(t,[1,0])),a=d.div(d.mul(d.exp(d.div(n[2],5)),e[0]),2),s=d.add(d.mul(d.div(n[0],10),e[0]),r[0]),i=d.div(d.mul(d.exp(d.div(n[3],5)),e[1]),2),c=d.add(d.mul(d.div(n[1],10),e[1]),r[1]);return d.transpose(d.stack([d.sub(s,a),d.sub(c,i),d.add(s,a),d.add(c,i)]),[1,0])}function Uo(o,t,e){return d.tidy(()=>{let r=o.shape[0],n=na(d.reshape(d.tile(e.extra_dim,[r,1,1]),[-1,4]),d.reshape(o,[-1,4]));n=d.reshape(n,[r,n.shape[0]/r,4]);let a=d.sigmoid(d.slice(t,[0,0,1],[-1,-1,-1])),s=d.slice(a,[0,0,0],[-1,-1,1]);s=d.reshape(s,[r,s.shape[1]]);let i=d.unstack(n),c=d.unstack(s);return{boxes:i,scores:c}})}var Ge=v(x());var Ye=v(x());function te(o,t){return Ye.tidy(()=>{let e=o.shape[0],r=Ye.reshape(qt(o,t.box_encoding_predictor),[e,-1,1,4]),n=Ye.reshape(qt(o,t.class_predictor),[e,-1,3]);return{boxPredictionEncoding:r,classPrediction:n}})}function Xo(o,t,e){return Ge.tidy(()=>{let r=Z(o,e.conv_0,[1,1]),n=Z(r,e.conv_1,[2,2]),a=Z(n,e.conv_2,[1,1]),s=Z(a,e.conv_3,[2,2]),i=Z(s,e.conv_4,[1,1]),c=Z(i,e.conv_5,[2,2]),m=Z(c,e.conv_6,[1,1]),p=Z(m,e.conv_7,[2,2]),u=te(t,e.box_predictor_0),f=te(o,e.box_predictor_1),l=te(n,e.box_predictor_2),g=te(s,e.box_predictor_3),T=te(c,e.box_predictor_4),D=te(p,e.box_predictor_5),h=Ge.concat([u.boxPredictionEncoding,f.boxPredictionEncoding,l.boxPredictionEncoding,g.boxPredictionEncoding,T.boxPredictionEncoding,D.boxPredictionEncoding],1),_=Ge.concat([u.classPrediction,f.classPrediction,l.classPrediction,g.classPrediction,T.classPrediction,D.classPrediction],1);return{boxPredictions:h,classPredictions:_}})}var X=class{constructor({minConfidence:t,maxResults:e}={}){this._name="SsdMobilenetv1Options";if(this._minConfidence=t||.5,this._maxResults=e||100,typeof this._minConfidence!="number"||this._minConfidence<=0||this._minConfidence>=1)throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);if(typeof this._maxResults!="number")throw new Error(`${this._name} - expected maxResults to be a number`)}get minConfidence(){return this._minConfidence}get maxResults(){return this._maxResults}};var St=class extends A{constructor(){super("SsdMobilenetv1")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("SsdMobilenetv1 - load model before inference");return Lt.tidy(()=>{let r=Lt.cast(t.toBatchTensor(512,!1),"float32"),n=Lt.sub(Lt.div(r,127.5),1),a=Go(n,e.mobilenetv1),{boxPredictions:s,classPredictions:i}=Xo(a.out,a.conv11,e.prediction_layer);return Uo(s,i,e.output_layer)})}async forward(t){return this.forwardInput(await C(t))}async locateFaces(t,e={}){let{maxResults:r,minConfidence:n}=new X(e),a=await C(t),{boxes:s,scores:i}=this.forwardInput(a),c=s[0],m=i[0];for(let y=1;y{let[E,W]=[Math.max(0,h[y][0]),Math.min(1,h[y][2])].map(q=>q*D),[tt,lt]=[Math.max(0,h[y][1]),Math.min(1,h[y][3])].map(q=>q*T);return new M(p[y],new Yt(tt,E,lt-tt,W-E),{height:a.getInputHeight(0),width:a.getInputWidth(0)})});return c.dispose(),m.dispose(),_}getDefaultModelName(){return"ssd_mobilenetv1_model"}extractParamsFromWeightMap(t){return Yo(t)}extractParams(t){return Vo(t)}};function Jo(o){let t=new St;return t.extractWeights(o),t}function aa(o){return Jo(o)}var uo=class extends St{};var qo=.4,Zo=[new b(.738768,.874946),new b(2.42204,2.65704),new b(4.30971,7.04493),new b(10.246,4.59428),new b(12.6868,11.8741)],Ko=[new b(1.603231,2.094468),new b(6.041143,7.080126),new b(2.882459,3.518061),new b(4.266906,5.178857),new b(9.041765,10.66308)],Qo=[117.001,114.697,97.404],tn="tiny_yolov2_model",en="tiny_yolov2_separable_conv_model";var N=v(x());var Cr=o=>typeof o=="number";function fo(o){if(!o)throw new Error(`invalid config: ${o}`);if(typeof o.withSeparableConvs!="boolean")throw new Error(`config.withSeparableConvs has to be a boolean, have: ${o.withSeparableConvs}`);if(!Cr(o.iouThreshold)||o.iouThreshold<0||o.iouThreshold>1)throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${o.iouThreshold}`);if(!Array.isArray(o.classes)||!o.classes.length||!o.classes.every(t=>typeof t=="string"))throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(o.classes)}`);if(!Array.isArray(o.anchors)||!o.anchors.length||!o.anchors.map(t=>t||{}).every(t=>Cr(t.x)&&Cr(t.y)))throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(o.anchors)}`);if(o.meanRgb&&(!Array.isArray(o.meanRgb)||o.meanRgb.length!==3||!o.meanRgb.every(Cr)))throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(o.meanRgb)}`)}var Q=v(x());var K=v(x());function Me(o){return K.tidy(()=>{let t=K.mul(o,K.scalar(.10000000149011612));return K.add(K.relu(K.sub(o,t)),t)})}function Tt(o,t){return Q.tidy(()=>{let e=Q.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=Q.conv2d(e,t.conv.filters,[1,1],"valid"),e=Q.sub(e,t.bn.sub),e=Q.mul(e,t.bn.truediv),e=Q.add(e,t.conv.bias),Me(e)})}var At=v(x());function Pt(o,t){return At.tidy(()=>{let e=At.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=At.separableConv2d(e,t.depthwise_filter,t.pointwise_filter,[1,1],"valid"),e=At.add(e,t.bias),Me(e)})}var lo=v(x());function sa(o,t){let e=be(o,t);function r(s,i){let c=lo.tensor1d(o(s)),m=lo.tensor1d(o(s));return t.push({paramPath:`${i}/sub`},{paramPath:`${i}/truediv`}),{sub:c,truediv:m}}function n(s,i,c){let m=e(s,i,3,`${c}/conv`),p=r(i,`${c}/bn`);return{conv:m,bn:p}}let a=ge(o,t);return{extractConvParams:e,extractConvWithBatchNormParams:n,extractSeparableConvParams:a}}function rn(o,t,e,r){let{extractWeights:n,getRemainingWeights:a}=R(o),s=[],{extractConvParams:i,extractConvWithBatchNormParams:c,extractSeparableConvParams:m}=sa(n,s),p;if(t.withSeparableConvs){let[u,f,l,g,T,D,h,_,y]=r,E=t.isFirstLayerConv2d?i(u,f,3,"conv0"):m(u,f,"conv0"),W=m(f,l,"conv1"),tt=m(l,g,"conv2"),lt=m(g,T,"conv3"),q=m(T,D,"conv4"),Dt=m(D,h,"conv5"),Et=_?m(h,_,"conv6"):void 0,Mt=y?m(_,y,"conv7"):void 0,$t=i(y||_||h,5*e,1,"conv8");p={conv0:E,conv1:W,conv2:tt,conv3:lt,conv4:q,conv5:Dt,conv6:Et,conv7:Mt,conv8:$t}}else{let[u,f,l,g,T,D,h,_,y]=r,E=c(u,f,"conv0"),W=c(f,l,"conv1"),tt=c(l,g,"conv2"),lt=c(g,T,"conv3"),q=c(T,D,"conv4"),Dt=c(D,h,"conv5"),Et=c(h,_,"conv6"),Mt=c(_,y,"conv7"),$t=i(y,5*e,1,"conv8");p={conv0:E,conv1:W,conv2:tt,conv3:lt,conv4:q,conv5:Dt,conv6:Et,conv7:Mt,conv8:$t}}if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{params:p,paramMappings:s}}function ia(o,t){let e=Y(o,t);function r(i){let c=e(`${i}/sub`,1),m=e(`${i}/truediv`,1);return{sub:c,truediv:m}}function n(i){let c=e(`${i}/filters`,4),m=e(`${i}/bias`,1);return{filters:c,bias:m}}function a(i){let c=n(`${i}/conv`),m=r(`${i}/bn`);return{conv:c,bn:m}}let s=xe(e);return{extractConvParams:n,extractConvWithBatchNormParams:a,extractSeparableConvParams:s}}function on(o,t){let e=[],{extractConvParams:r,extractConvWithBatchNormParams:n,extractSeparableConvParams:a}=ia(o,e),s;if(t.withSeparableConvs){let i=t.filterSizes&&t.filterSizes.length||9;s={conv0:t.isFirstLayerConv2d?r("conv0"):a("conv0"),conv1:a("conv1"),conv2:a("conv2"),conv3:a("conv3"),conv4:a("conv4"),conv5:a("conv5"),conv6:i>7?a("conv6"):void 0,conv7:i>8?a("conv7"):void 0,conv8:r("conv8")}}else s={conv0:n("conv0"),conv1:n("conv1"),conv2:n("conv2"),conv3:n("conv3"),conv4:n("conv4"),conv5:n("conv5"),conv6:n("conv6"),conv7:n("conv7"),conv8:r("conv8")};return B(o,e),{params:s,paramMappings:e}}var st=class{constructor({inputSize:t,scoreThreshold:e}={}){this._name="TinyYolov2Options";if(this._inputSize=t||416,this._scoreThreshold=e||.5,typeof this._inputSize!="number"||this._inputSize%32!==0)throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);if(typeof this._scoreThreshold!="number"||this._scoreThreshold<=0||this._scoreThreshold>=1)throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`)}get inputSize(){return this._inputSize}get scoreThreshold(){return this._scoreThreshold}};var ho=class extends A{constructor(e){super("TinyYolov2");fo(e),this._config=e}get config(){return this._config}get withClassScores(){return this.config.withClassScores||this.config.classes.length>1}get boxEncodingSize(){return 5+(this.withClassScores?this.config.classes.length:0)}runTinyYolov2(e,r){let n=Tt(e,r.conv0);return n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv1),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv2),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv3),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv4),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv5),n=N.maxPool(n,[2,2],[1,1],"same"),n=Tt(n,r.conv6),n=Tt(n,r.conv7),qt(n,r.conv8,"valid",!1)}runMobilenet(e,r){let n=this.config.isFirstLayerConv2d?Me(qt(e,r.conv0,"valid",!1)):Pt(e,r.conv0);return n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv1),n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv2),n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv3),n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv4),n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv5),n=N.maxPool(n,[2,2],[1,1],"same"),n=r.conv6?Pt(n,r.conv6):n,n=r.conv7?Pt(n,r.conv7):n,qt(n,r.conv8,"valid",!1)}forwardInput(e,r){let{params:n}=this;if(!n)throw new Error("TinyYolov2 - load model before inference");return N.tidy(()=>{let a=N.cast(e.toBatchTensor(r,!1),"float32");return a=this.config.meanRgb?rt(a,this.config.meanRgb):a,a=a.div(255),this.config.withSeparableConvs?this.runMobilenet(a,n):this.runTinyYolov2(a,n)})}async forward(e,r){return this.forwardInput(await C(e),r)}async detect(e,r={}){let{inputSize:n,scoreThreshold:a}=new st(r),s=await C(e),i=await this.forwardInput(s,n),c=N.tidy(()=>N.unstack(i)[0].expandDims()),m={width:s.getInputWidth(0),height:s.getInputHeight(0)},p=await this.extractBoxes(c,s.getReshapedInputDimensions(0),a);i.dispose(),c.dispose();let u=p.map(h=>h.box),f=p.map(h=>h.score),l=p.map(h=>h.classScore),g=p.map(h=>this.config.classes[h.label]);return zr(u.map(h=>h.rescale(n)),f,this.config.iouThreshold,!0).map(h=>new bt(f[h],l[h],g[h],u[h],m))}getDefaultModelName(){return""}extractParamsFromWeightMap(e){return on(e,this.config)}extractParams(e){let r=this.config.filterSizes||ho.DEFAULT_FILTER_SIZES,n=r?r.length:void 0;if(n!==7&&n!==8&&n!==9)throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${n} filterSizes in config`);return rn(e,this.config,this.boxEncodingSize,r)}async extractBoxes(e,r,n){let{width:a,height:s}=r,i=Math.max(a,s),c=i/a,m=i/s,p=e.shape[1],u=this.config.anchors.length,[f,l,g]=N.tidy(()=>{let _=e.reshape([p,p,u,this.boxEncodingSize]),y=_.slice([0,0,0,0],[p,p,u,4]),E=_.slice([0,0,0,4],[p,p,u,1]),W=this.withClassScores?N.softmax(_.slice([0,0,0,5],[p,p,u,this.config.classes.length]),3):N.scalar(0);return[y,E,W]}),T=[],D=await l.array(),h=await f.array();for(let _=0;_n){let tt=(y+Ne(h[_][y][E][0]))/p*c,lt=(_+Ne(h[_][y][E][1]))/p*m,q=Math.exp(h[_][y][E][2])*this.config.anchors[E].x/p*c,Dt=Math.exp(h[_][y][E][3])*this.config.anchors[E].y/p*m,Et=tt-q/2,Mt=lt-Dt/2,$t={row:_,col:y,anchor:E},{classScore:xo,label:vo}=this.withClassScores?await this.extractPredictedClass(g,$t):{classScore:1,label:0};T.push({box:new Vt(Et,Mt,Et+q,Mt+Dt),score:W,classScore:W*xo,label:vo,...$t})}}return f.dispose(),l.dispose(),g.dispose(),T}async extractPredictedClass(e,r){let{row:n,col:a,anchor:s}=r,i=await e.array();return Array(this.config.classes.length).fill(0).map((c,m)=>i[n][a][s][m]).map((c,m)=>({classScore:c,label:m})).reduce((c,m)=>c.classScore>m.classScore?c:m)}},ee=ho;ee.DEFAULT_FILTER_SIZES=[3,16,32,64,128,256,512,1024,1024];var re=class extends ee{constructor(t=!0){let e={withSeparableConvs:t,iouThreshold:qo,classes:["face"],...t?{anchors:Ko,meanRgb:Qo}:{anchors:Zo,withClassScores:!0}};super(e)}get withSeparableConvs(){return this.config.withSeparableConvs}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(n=>new M(n.score,n.relativeBox,{width:n.imageWidth,height:n.imageHeight}))}getDefaultModelName(){return this.withSeparableConvs?en:tn}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};function ca(o,t=!0){let e=new re(t);return e.extractWeights(o),e}var je=class extends st{constructor(){super(...arguments);this._name="TinyFaceDetectorOptions"}};var J=class{async then(t){return t(await this.run())}async run(){throw new Error("ComposableTask - run is not implemented")}};var Xe=v(x());var bo=v(x());async function oe(o,t,e,r,n=({alignedRect:a})=>a){let a=o.map(c=>Zt(c)?n(c):c.detection),s=r||(t instanceof bo.Tensor?await de(t,a):await le(t,a)),i=await e(s);return s.forEach(c=>c instanceof bo.Tensor&&c.dispose()),i}async function Ce(o,t,e,r,n){return oe([o],t,async a=>e(a[0]),r,n)}var nn=.4,an=[new b(1.603231,2.094468),new b(6.041143,7.080126),new b(2.882459,3.518061),new b(4.266906,5.178857),new b(9.041765,10.66308)],sn=[117.001,114.697,97.404];var ne=class extends ee{constructor(){let t={withSeparableConvs:!0,iouThreshold:nn,classes:["face"],anchors:an,meanRgb:sn,isFirstLayerConv2d:!0,filterSizes:[3,16,32,64,128,256,512]};super(t)}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(n=>new M(n.score,n.relativeBox,{width:n.imageWidth,height:n.imageHeight}))}getDefaultModelName(){return"tiny_face_detector_model"}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};var w={ssdMobilenetv1:new St,tinyFaceDetector:new ne,tinyYolov2:new re,faceLandmark68Net:new Kt,faceLandmark68TinyNet:new ze,faceRecognitionNet:new Qt,faceExpressionNet:new Oe,ageGenderNet:new He},cn=(o,t)=>w.ssdMobilenetv1.locateFaces(o,t),ma=(o,t)=>w.tinyFaceDetector.locateFaces(o,t),pa=(o,t)=>w.tinyYolov2.locateFaces(o,t),mn=o=>w.faceLandmark68Net.detectLandmarks(o),ua=o=>w.faceLandmark68TinyNet.detectLandmarks(o),fa=o=>w.faceRecognitionNet.computeFaceDescriptor(o),la=o=>w.faceExpressionNet.predictExpressions(o),da=o=>w.ageGenderNet.predictAgeAndGender(o),pn=o=>w.ssdMobilenetv1.load(o),ha=o=>w.tinyFaceDetector.load(o),ba=o=>w.tinyYolov2.load(o),ga=o=>w.faceLandmark68Net.load(o),xa=o=>w.faceLandmark68TinyNet.load(o),va=o=>w.faceRecognitionNet.load(o),ya=o=>w.faceExpressionNet.load(o),_a=o=>w.ageGenderNet.load(o),Ta=pn,Pa=cn,wa=mn;var Ir=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.extractedFaces=n}},ae=class extends Ir{async run(){let t=await this.parentTask,e=await oe(t,this.input,async r=>Promise.all(r.map(n=>w.faceExpressionNet.predictExpressions(n))),this.extractedFaces);return t.map((r,n)=>xr(r,e[n]))}withAgeAndGender(){return new ie(this,this.input)}},se=class extends Ir{async run(){let t=await this.parentTask;if(!t)return;let e=await Ce(t,this.input,r=>w.faceExpressionNet.predictExpressions(r),this.extractedFaces);return xr(t,e)}withAgeAndGender(){return new ce(this,this.input)}},Wt=class extends ae{withAgeAndGender(){return new Bt(this,this.input)}withFaceDescriptors(){return new wt(this,this.input)}},kt=class extends se{withAgeAndGender(){return new Rt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Nr=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.extractedFaces=n}},ie=class extends Nr{async run(){let t=await this.parentTask,e=await oe(t,this.input,async r=>Promise.all(r.map(n=>w.ageGenderNet.predictAgeAndGender(n))),this.extractedFaces);return t.map((r,n)=>{let{age:a,gender:s,genderProbability:i}=e[n];return Er(Mr(r,s,i),a)})}withFaceExpressions(){return new ae(this,this.input)}},ce=class extends Nr{async run(){let t=await this.parentTask;if(!t)return;let{age:e,gender:r,genderProbability:n}=await Ce(t,this.input,a=>w.ageGenderNet.predictAgeAndGender(a),this.extractedFaces);return Er(Mr(t,r,n),e)}withFaceExpressions(){return new se(this,this.input)}},Bt=class extends ie{withFaceExpressions(){return new Wt(this,this.input)}withFaceDescriptors(){return new wt(this,this.input)}},Rt=class extends ce{withFaceExpressions(){return new kt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Ue=class extends J{constructor(e,r){super();this.parentTask=e;this.input=r}},wt=class extends Ue{async run(){let t=await this.parentTask;return(await oe(t,this.input,r=>Promise.all(r.map(n=>w.faceRecognitionNet.computeFaceDescriptor(n))),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}))).map((r,n)=>Dr(t[n],r))}withFaceExpressions(){return new Wt(this,this.input)}withAgeAndGender(){return new Bt(this,this.input)}},Ft=class extends Ue{async run(){let t=await this.parentTask;if(!t)return;let e=await Ce(t,this.input,r=>w.faceRecognitionNet.computeFaceDescriptor(r),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}));return Dr(t,e)}withFaceExpressions(){return new kt(this,this.input)}withAgeAndGender(){return new Rt(this,this.input)}};var Je=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.useTinyLandmarkNet=n}get landmarkNet(){return this.useTinyLandmarkNet?w.faceLandmark68TinyNet:w.faceLandmark68Net}},qe=class extends Je{async run(){let t=await this.parentTask,e=t.map(s=>s.detection),r=this.input instanceof Xe.Tensor?await de(this.input,e):await le(this.input,e),n=await Promise.all(r.map(s=>this.landmarkNet.detectLandmarks(s)));return r.forEach(s=>s instanceof Xe.Tensor&&s.dispose()),t.filter((s,i)=>n[i]).map((s,i)=>we(s,n[i]))}withFaceExpressions(){return new Wt(this,this.input)}withAgeAndGender(){return new Bt(this,this.input)}withFaceDescriptors(){return new wt(this,this.input)}},Ze=class extends Je{async run(){let t=await this.parentTask;if(!t)return;let{detection:e}=t,r=this.input instanceof Xe.Tensor?await de(this.input,[e]):await le(this.input,[e]),n=await this.landmarkNet.detectLandmarks(r[0]);return r.forEach(a=>a instanceof Xe.Tensor&&a.dispose()),we(t,n)}withFaceExpressions(){return new kt(this,this.input)}withAgeAndGender(){return new Rt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Ke=class extends J{constructor(e,r=new X){super();this.input=e;this.options=r}},Ie=class extends Ke{async run(){let{input:t,options:e}=this,r;if(e instanceof je)r=w.tinyFaceDetector.locateFaces(t,e);else if(e instanceof X)r=w.ssdMobilenetv1.locateFaces(t,e);else if(e instanceof st)r=w.tinyYolov2.locateFaces(t,e);else throw new Error("detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | TinyYolov2Options");return r}runAndExtendWithFaceDetections(){return new Promise((t,e)=>{this.run().then(r=>t(r.map(n=>jt({},n)))).catch(r=>e(r))})}withFaceLandmarks(t=!1){return new qe(this.runAndExtendWithFaceDetections(),this.input,t)}withFaceExpressions(){return new ae(this.runAndExtendWithFaceDetections(),this.input)}withAgeAndGender(){return new ie(this.runAndExtendWithFaceDetections(),this.input)}},Qe=class extends Ke{async run(){let t=await new Ie(this.input,this.options),e=t[0];return t.forEach(r=>{r.score>e.score&&(e=r)}),e}runAndExtendWithFaceDetection(){return new Promise(async t=>{let e=await this.run();t(e?jt({},e):void 0)})}withFaceLandmarks(t=!1){return new Ze(this.runAndExtendWithFaceDetection(),this.input,t)}withFaceExpressions(){return new se(this.runAndExtendWithFaceDetection(),this.input)}withAgeAndGender(){return new ce(this.runAndExtendWithFaceDetection(),this.input)}};function Fa(o,t=new X){return new Qe(o,t)}function Sr(o,t=new X){return new Ie(o,t)}async function un(o,t){return Sr(o,new X(t?{minConfidence:t}:{})).withFaceLandmarks().withFaceDescriptors()}async function Da(o,t={}){return Sr(o,new st(t)).withFaceLandmarks().withFaceDescriptors()}var Ea=un;function go(o,t){if(o.length!==t.length)throw new Error("euclideanDistance: arr1.length !== arr2.length");let e=Array.from(o),r=Array.from(t);return Math.sqrt(e.map((n,a)=>n-r[a]).reduce((n,a)=>n+a*a,0))}var tr=class{constructor(t,e=.6){this._distanceThreshold=e;let r=Array.isArray(t)?t:[t];if(!r.length)throw new Error("FaceRecognizer.constructor - expected atleast one input");let n=1,a=()=>`person ${n++}`;this._labeledDescriptors=r.map(s=>{if(s instanceof mt)return s;if(s instanceof Float32Array)return new mt(a(),[s]);if(s.descriptor&&s.descriptor instanceof Float32Array)return new mt(a(),[s.descriptor]);throw new Error("FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>")})}get labeledDescriptors(){return this._labeledDescriptors}get distanceThreshold(){return this._distanceThreshold}computeMeanDistance(t,e){return e.map(r=>go(r,t)).reduce((r,n)=>r+n,0)/(e.length||1)}matchDescriptor(t){return this.labeledDescriptors.map(({descriptors:e,label:r})=>new pe(r,this.computeMeanDistance(t,e))).reduce((e,r)=>e.distancet.toJSON())}}static fromJSON(t){let e=t.labeledDescriptors.map(r=>mt.fromJSON(r));return new tr(e,t.distanceThreshold)}};function Ma(o){let t=new ne;return t.extractWeights(o),t}function fn(o,t){let{width:e,height:r}=new k(t.width,t.height);if(e<=0||r<=0)throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({width:e,height:r})}`);if(Array.isArray(o))return o.map(n=>fn(n,{width:e,height:r}));if(Zt(o)){let n=o.detection.forSize(e,r),a=o.unshiftedLandmarks.forSize(n.box.width,n.box.height);return we(jt(o,n),a)}return pt(o)?jt(o,o.detection.forSize(e,r)):o instanceof z||o instanceof M?o.forSize(e,r):o}var Ia=No;0&&(module.exports={AgeGenderNet,BoundingBox,Box,ComposableTask,ComputeAllFaceDescriptorsTask,ComputeFaceDescriptorsTaskBase,ComputeSingleFaceDescriptorTask,DetectAllFaceLandmarksTask,DetectAllFacesTask,DetectFaceLandmarksTaskBase,DetectFacesTaskBase,DetectSingleFaceLandmarksTask,DetectSingleFaceTask,Dimensions,FACE_EXPRESSION_LABELS,FaceDetection,FaceDetectionNet,FaceExpressionNet,FaceExpressions,FaceLandmark68Net,FaceLandmark68TinyNet,FaceLandmarkNet,FaceLandmarks,FaceLandmarks5,FaceLandmarks68,FaceMatch,FaceMatcher,FaceRecognitionNet,Gender,LabeledBox,LabeledFaceDescriptors,NetInput,NeuralNetwork,ObjectDetection,Point,PredictedBox,Rect,SsdMobilenetv1,SsdMobilenetv1Options,TinyFaceDetector,TinyFaceDetectorOptions,TinyYolov2,TinyYolov2Options,allFaces,allFacesSsdMobilenetv1,allFacesTinyYolov2,awaitMediaLoaded,bufferToImage,computeFaceDescriptor,createCanvas,createCanvasFromMedia,createFaceDetectionNet,createFaceRecognitionNet,createSsdMobilenetv1,createTinyFaceDetector,createTinyYolov2,detectAllFaces,detectFaceLandmarks,detectFaceLandmarksTiny,detectLandmarks,detectSingleFace,draw,env,euclideanDistance,extendWithAge,extendWithFaceDescriptor,extendWithFaceDetection,extendWithFaceExpressions,extendWithFaceLandmarks,extendWithGender,extractFaceTensors,extractFaces,fetchImage,fetchJson,fetchNetWeights,fetchOrThrow,fetchVideo,getContext2dOrThrow,getMediaDimensions,imageTensorToCanvas,imageToSquare,inverseSigmoid,iou,isMediaElement,isMediaLoaded,isWithAge,isWithFaceDetection,isWithFaceExpressions,isWithFaceLandmarks,isWithGender,loadAgeGenderModel,loadFaceDetectionModel,loadFaceExpressionModel,loadFaceLandmarkModel,loadFaceLandmarkTinyModel,loadFaceRecognitionModel,loadSsdMobilenetv1Model,loadTinyFaceDetectorModel,loadTinyYolov2Model,loadWeightMap,locateFaces,matchDimensions,minBbox,nets,nonMaxSuppression,normalize,padToSquare,predictAgeAndGender,recognizeFaceExpressions,resizeResults,resolveInput,shuffleArray,sigmoid,ssdMobilenetv1,tf,tinyFaceDetector,tinyYolov2,toNetInput,utils,validateConfig,version}); diff --git a/dist/face-api.node-wasm.js b/dist/face-api.node-wasm.js index 71840af..0ff4ad3 100644 --- a/dist/face-api.node-wasm.js +++ b/dist/face-api.node-wasm.js @@ -4,4 +4,4 @@ author: ' */ -"use strict";var dn=Object.create;var er=Object.defineProperty;var hn=Object.getOwnPropertyDescriptor;var bn=Object.getOwnPropertyNames;var gn=Object.getPrototypeOf,xn=Object.prototype.hasOwnProperty;var vn=(o,t)=>()=>(t||o((t={exports:{}}).exports,t),t.exports),Ar=(o,t)=>{for(var e in t)er(o,e,{get:t[e],enumerable:!0})},_o=(o,t,e,r)=>{if(t&&typeof t=="object"||typeof t=="function")for(let n of bn(t))!xn.call(o,n)&&n!==e&&er(o,n,{get:()=>t[n],enumerable:!(r=hn(t,n))||r.enumerable});return o};var v=(o,t,e)=>(e=o!=null?dn(gn(o)):{},_o(t||!o||!o.__esModule?er(e,"default",{value:o,enumerable:!0}):e,o)),yn=o=>_o(er({},"__esModule",{value:!0}),o);var x=vn((ka,rr)=>{"use strict";var To=Object.defineProperty,_n=Object.getOwnPropertyDescriptor,Tn=Object.getOwnPropertyNames,Pn=Object.prototype.hasOwnProperty,Wr=(o,t,e,r)=>{if(t&&typeof t=="object"||typeof t=="function")for(let n of Tn(t))!Pn.call(o,n)&&n!==e&&To(o,n,{get:()=>t[n],enumerable:!(r=_n(t,n))||r.enumerable});return o},Po=(o,t,e)=>(Wr(o,t,"default"),e&&Wr(e,t,"default")),wn=o=>Wr(To({},"__esModule",{value:!0}),o),kr={};rr.exports=wn(kr);Po(kr,require("@tensorflow/tfjs"),rr.exports);Po(kr,require("@tensorflow/tfjs-backend-wasm"),rr.exports)});var Na={};Ar(Na,{AgeGenderNet:()=>He,BoundingBox:()=>Vt,Box:()=>F,ComposableTask:()=>J,ComputeAllFaceDescriptorsTask:()=>wt,ComputeFaceDescriptorsTaskBase:()=>Ue,ComputeSingleFaceDescriptorTask:()=>Ft,DetectAllFaceLandmarksTask:()=>qe,DetectAllFacesTask:()=>Ie,DetectFaceLandmarksTaskBase:()=>Je,DetectFacesTaskBase:()=>Ke,DetectSingleFaceLandmarksTask:()=>Ze,DetectSingleFaceTask:()=>Qe,Dimensions:()=>k,FACE_EXPRESSION_LABELS:()=>ao,FaceDetection:()=>M,FaceDetectionNet:()=>fo,FaceExpressionNet:()=>Oe,FaceExpressions:()=>yt,FaceLandmark68Net:()=>Kt,FaceLandmark68TinyNet:()=>ze,FaceLandmarkNet:()=>mo,FaceLandmarks:()=>z,FaceLandmarks5:()=>Gr,FaceLandmarks68:()=>Gt,FaceMatch:()=>pe,FaceMatcher:()=>tr,FaceRecognitionNet:()=>Qt,Gender:()=>Pr,LabeledBox:()=>ue,LabeledFaceDescriptors:()=>mt,NetInput:()=>ut,NeuralNetwork:()=>A,ObjectDetection:()=>bt,Point:()=>b,PredictedBox:()=>jr,Rect:()=>Yt,SsdMobilenetv1:()=>St,SsdMobilenetv1Options:()=>X,TinyFaceDetector:()=>ne,TinyFaceDetectorOptions:()=>je,TinyYolov2:()=>re,TinyYolov2Options:()=>st,allFaces:()=>Ea,allFacesSsdMobilenetv1:()=>fn,allFacesTinyYolov2:()=>Da,awaitMediaLoaded:()=>Qr,bufferToImage:()=>to,computeFaceDescriptor:()=>fa,createCanvas:()=>Jt,createCanvasFromMedia:()=>We,createFaceDetectionNet:()=>aa,createFaceRecognitionNet:()=>Xn,createSsdMobilenetv1:()=>qo,createTinyFaceDetector:()=>Ma,createTinyYolov2:()=>ca,detectAllFaces:()=>Lr,detectFaceLandmarks:()=>pn,detectFaceLandmarksTiny:()=>ua,detectLandmarks:()=>wa,detectSingleFace:()=>Fa,draw:()=>io,env:()=>P,euclideanDistance:()=>xo,extendWithAge:()=>Mr,extendWithFaceDescriptor:()=>Er,extendWithFaceDetection:()=>jt,extendWithFaceExpressions:()=>vr,extendWithFaceLandmarks:()=>we,extendWithGender:()=>Cr,extractFaceTensors:()=>de,extractFaces:()=>le,fetchImage:()=>An,fetchJson:()=>oo,fetchNetWeights:()=>Wn,fetchOrThrow:()=>xt,fetchVideo:()=>kn,getContext2dOrThrow:()=>O,getMediaDimensions:()=>Xt,imageTensorToCanvas:()=>eo,imageToSquare:()=>ro,inverseSigmoid:()=>En,iou:()=>Hr,isMediaElement:()=>cr,isMediaLoaded:()=>Ae,isWithAge:()=>Jn,isWithFaceDetection:()=>pt,isWithFaceExpressions:()=>so,isWithFaceLandmarks:()=>Zt,isWithGender:()=>qn,loadAgeGenderModel:()=>_a,loadFaceDetectionModel:()=>Ta,loadFaceExpressionModel:()=>ya,loadFaceLandmarkModel:()=>ga,loadFaceLandmarkTinyModel:()=>xa,loadFaceRecognitionModel:()=>va,loadSsdMobilenetv1Model:()=>un,loadTinyFaceDetectorModel:()=>ha,loadTinyYolov2Model:()=>ba,loadWeightMap:()=>no,locateFaces:()=>Pa,matchDimensions:()=>Bn,minBbox:()=>zr,nets:()=>w,nonMaxSuppression:()=>Vr,normalize:()=>rt,padToSquare:()=>Yr,predictAgeAndGender:()=>da,recognizeFaceExpressions:()=>la,resizeResults:()=>ln,resolveInput:()=>Ut,shuffleArray:()=>Dn,sigmoid:()=>Ne,ssdMobilenetv1:()=>mn,tf:()=>Ca,tinyFaceDetector:()=>ma,tinyYolov2:()=>pa,toNetInput:()=>C,utils:()=>Or,validateConfig:()=>lo,version:()=>Ia});module.exports=yn(Na);var Ca=v(x());var io={};Ar(io,{AnchorPosition:()=>Kr,DrawBox:()=>Le,DrawBoxOptions:()=>sr,DrawFaceLandmarks:()=>_r,DrawFaceLandmarksOptions:()=>yr,DrawTextField:()=>gt,DrawTextFieldOptions:()=>fe,drawContour:()=>dt,drawDetections:()=>Ln,drawFaceExpressions:()=>Rn,drawFaceLandmarks:()=>On});function dt(o,t,e=!1){if(o.beginPath(),t.slice(1).forEach(({x:r,y:n},a)=>{let s=t[a];o.moveTo(s.x,s.y),o.lineTo(r,n)}),e){let r=t[t.length-1],n=t[0];if(!r||!n)return;o.moveTo(r.x,r.y),o.lineTo(n.x,n.y)}o.stroke()}var Or={};Ar(Or,{computeReshapedDimensions:()=>$r,getCenterPoint:()=>zt,isDimensions:()=>nr,isEven:()=>or,isFloat:()=>Rr,isTensor:()=>Ot,isTensor1D:()=>Fn,isTensor2D:()=>Br,isTensor3D:()=>ht,isTensor4D:()=>U,isValidNumber:()=>et,isValidProbablitiy:()=>me,range:()=>it,round:()=>Ht});var wo=v(x());var k=class{constructor(t,e){if(!et(t)||!et(e))throw new Error(`Dimensions.constructor - expected width and height to be valid numbers, instead have ${JSON.stringify({width:t,height:e})}`);this._width=t,this._height=e}get width(){return this._width}get height(){return this._height}reverse(){return new k(1/this.width,1/this.height)}};function Ot(o,t){return o instanceof wo.Tensor&&o.shape.length===t}function Fn(o){return Ot(o,1)}function Br(o){return Ot(o,2)}function ht(o){return Ot(o,3)}function U(o){return Ot(o,4)}function Rr(o){return o%1!==0}function or(o){return o%2===0}function Ht(o,t=2){let e=10**t;return Math.floor(o*e)/e}function nr(o){return o&&o.width&&o.height}function $r({width:o,height:t},e){let r=e/Math.max(t,o);return new k(Math.round(o*r),Math.round(t*r))}function zt(o){return o.reduce((t,e)=>t.add(e),new b(0,0)).div(new b(o.length,o.length))}function it(o,t,e){return Array(o).fill(0).map((r,n)=>t+n*e)}function et(o){return!!o&&o!==1/0&&o!==-1/0&&!Number.isNaN(o)||o===0}function me(o){return et(o)&&o>=0&&o<=1}var b=class{constructor(t,e){this._x=t,this._y=e}get x(){return this._x}get y(){return this._y}add(t){return new b(this.x+t.x,this.y+t.y)}sub(t){return new b(this.x-t.x,this.y-t.y)}mul(t){return new b(this.x*t.x,this.y*t.y)}div(t){return new b(this.x/t.x,this.y/t.y)}abs(){return new b(Math.abs(this.x),Math.abs(this.y))}magnitude(){return Math.sqrt(this.x**2+this.y**2)}floor(){return new b(Math.floor(this.x),Math.floor(this.y))}};var F=class{static isRect(t){return!!t&&[t.x,t.y,t.width,t.height].every(et)}static assertIsValidBox(t,e,r=!1){if(!F.isRect(t))throw new Error(`${e} - invalid box: ${JSON.stringify(t)}, expected object with properties x, y, width, height`);if(!r&&(t.width<0||t.height<0))throw new Error(`${e} - width (${t.width}) and height (${t.height}) must be positive numbers`)}constructor(t,e=!0){let r=t||{},n=[r.left,r.top,r.right,r.bottom].every(et),a=[r.x,r.y,r.width,r.height].every(et);if(!a&&!n)throw new Error(`Box.constructor - expected box to be IBoundingBox | IRect, instead have ${JSON.stringify(r)}`);let[s,i,c,m]=a?[r.x,r.y,r.width,r.height]:[r.left,r.top,r.right-r.left,r.bottom-r.top];F.assertIsValidBox({x:s,y:i,width:c,height:m},"Box.constructor",e),this._x=s,this._y=i,this._width=c,this._height=m}get x(){return this._x}get y(){return this._y}get width(){return this._width}get height(){return this._height}get left(){return this.x}get top(){return this.y}get right(){return this.x+this.width}get bottom(){return this.y+this.height}get area(){return this.width*this.height}get topLeft(){return new b(this.left,this.top)}get topRight(){return new b(this.right,this.top)}get bottomLeft(){return new b(this.left,this.bottom)}get bottomRight(){return new b(this.right,this.bottom)}round(){let[t,e,r,n]=[this.x,this.y,this.width,this.height].map(a=>Math.round(a));return new F({x:t,y:e,width:r,height:n})}floor(){let[t,e,r,n]=[this.x,this.y,this.width,this.height].map(a=>Math.floor(a));return new F({x:t,y:e,width:r,height:n})}toSquare(){let{x:t,y:e,width:r,height:n}=this,a=Math.abs(r-n);return re&&(i=-u+e+r,u=e),f>t&&(c=-f+t+n,f=t),m<1&&(c=2-m,m=1),p<1&&(c=2-p,p=1),{dy:s,edy:c,dx:a,edx:i,y:p,ey:f,x:m,ex:u,w:r,h:n}}calibrate(t){return new F({left:this.left+t.left*this.width,top:this.top+t.top*this.height,right:this.right+t.right*this.width,bottom:this.bottom+t.bottom*this.height}).toSquare().round()}};var Vt=class extends F{constructor(t,e,r,n,a=!1){super({left:t,top:e,right:r,bottom:n},a)}};var bt=class{constructor(t,e,r,n,a){this._imageDims=new k(a.width,a.height),this._score=t,this._classScore=e,this._className=r,this._box=new F(n).rescale(this._imageDims)}get score(){return this._score}get classScore(){return this._classScore}get className(){return this._className}get box(){return this._box}get imageDims(){return this._imageDims}get imageWidth(){return this.imageDims.width}get imageHeight(){return this.imageDims.height}get relativeBox(){return new F(this._box).rescale(this.imageDims.reverse())}forSize(t,e){return new bt(this.score,this.classScore,this.className,this.relativeBox,{width:t,height:e})}};var M=class extends bt{constructor(t,e,r){super(t,t,"",e,r)}forSize(t,e){let{score:r,relativeBox:n,imageDims:a}=super.forSize(t,e);return new M(r,n,a)}};function Hr(o,t,e=!0){let r=Math.max(0,Math.min(o.right,t.right)-Math.max(o.left,t.left)),n=Math.max(0,Math.min(o.bottom,t.bottom)-Math.max(o.top,t.top)),a=r*n;return e?a/(o.area+t.area-a):a/Math.min(o.area,t.area)}function zr(o){let t=o.map(i=>i.x),e=o.map(i=>i.y),r=t.reduce((i,c)=>ccii({score:s,boxIndex:i})).sort((s,i)=>s.score-i.score).map(s=>s.boxIndex),a=[];for(;n.length>0;){let s=n.pop();a.push(s);let i=n,c=[];for(let m=0;mc[p]<=e)}return a}var ct=v(x());function rt(o,t){return ct.tidy(()=>{let[e,r,n]=t,a=ct.fill([...o.shape.slice(0,3),1],e,"float32"),s=ct.fill([...o.shape.slice(0,3),1],r,"float32"),i=ct.fill([...o.shape.slice(0,3),1],n,"float32"),c=ct.concat([a,s,i],3);return ct.sub(o,c)})}var Ct=v(x());function Yr(o,t=!1){return Ct.tidy(()=>{let[e,r]=o.shape.slice(1);if(e===r)return o;let n=Math.abs(e-r),a=Math.round(n*(t?.5:1)),s=e>r?2:1,i=f=>{let l=o.shape.slice();return l[s]=f,Ct.fill(l,0,"float32")},c=i(a),m=n-c.shape[s],u=[t&&m?i(m):null,o,c].filter(f=>!!f).map(f=>Ct.cast(f,"float32"));return Ct.concat(u,s)})}function Dn(o){let t=o.slice();for(let e=t.length-1;e>0;e--){let r=Math.floor(Math.random()*(e+1)),n=t[e];t[e]=t[r],t[r]=n}return t}function Ne(o){return 1/(1+Math.exp(-o))}function En(o){return Math.log(o/(1-o))}var Yt=class extends F{constructor(t,e,r,n,a=!1){super({x:t,y:e,width:r,height:n},a)}};var Mn=.5,Cn=.43,In=.45,z=class{constructor(t,e,r=new b(0,0)){let{width:n,height:a}=e;this._imgDims=new k(n,a),this._shift=r,this._positions=t.map(s=>s.mul(new b(n,a)).add(r))}get shift(){return new b(this._shift.x,this._shift.y)}get imageWidth(){return this._imgDims.width}get imageHeight(){return this._imgDims.height}get positions(){return this._positions}get relativePositions(){return this._positions.map(t=>t.sub(this._shift).div(new b(this.imageWidth,this.imageHeight)))}forSize(t,e){return new this.constructor(this.relativePositions,{width:t,height:e})}shiftBy(t,e){return new this.constructor(this.relativePositions,this._imgDims,new b(t,e))}shiftByPoint(t){return this.shiftBy(t.x,t.y)}align(t,e={}){if(t){let a=t instanceof M?t.box.floor():new F(t);return this.shiftBy(a.x,a.y).align(null,e)}let{useDlibAlignment:r,minBoxPadding:n}={useDlibAlignment:!1,minBoxPadding:.2,...e};return r?this.alignDlib():this.alignMinBbox(n)}alignDlib(){let t=this.getRefPointsForAlignment(),[e,r,n]=t,a=u=>n.sub(u).magnitude(),s=(a(e)+a(r))/2,i=Math.floor(s/In),c=zt(t),m=Math.floor(Math.max(0,c.x-Mn*i)),p=Math.floor(Math.max(0,c.y-Cn*i));return new Yt(m,p,Math.min(i,this.imageWidth+m),Math.min(i,this.imageHeight+p))}alignMinBbox(t){let e=zr(this.positions);return e.pad(e.width*t,e.height*t)}getRefPointsForAlignment(){throw new Error("getRefPointsForAlignment not implemented by base class")}};var Gr=class extends z{getRefPointsForAlignment(){let t=this.positions;return[t[0],t[1],zt([t[3],t[4]])]}};var Gt=class extends z{getJawOutline(){return this.positions.slice(0,17)}getLeftEyeBrow(){return this.positions.slice(17,22)}getRightEyeBrow(){return this.positions.slice(22,27)}getNose(){return this.positions.slice(27,36)}getLeftEye(){return this.positions.slice(36,42)}getRightEye(){return this.positions.slice(42,48)}getMouth(){return this.positions.slice(48,68)}getRefPointsForAlignment(){return[this.getLeftEye(),this.getRightEye(),this.getMouth()].map(zt)}};var pe=class{constructor(t,e){this._label=t,this._distance=e}get label(){return this._label}get distance(){return this._distance}toString(t=!0){return`${this.label}${t?` (${Ht(this.distance)})`:""}`}};var ue=class extends F{constructor(e,r){super(e);this._label=r}static assertIsValidLabeledBox(e,r){if(F.assertIsValidBox(e,r),!et(e.label))throw new Error(`${r} - expected property label (${e.label}) to be a number`)}get label(){return this._label}};var mt=class{constructor(t,e){if(typeof t!="string")throw new Error("LabeledFaceDescriptors - constructor expected label to be a string");if(!Array.isArray(e)||e.some(r=>!(r instanceof Float32Array)))throw new Error("LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array");this._label=t,this._descriptors=e}get label(){return this._label}get descriptors(){return this._descriptors}toJSON(){return{label:this.label,descriptors:this.descriptors.map(t=>Array.from(t))}}static fromJSON(t){let e=t.descriptors.map(r=>new Float32Array(r));return new mt(t.label,e)}};var jr=class extends ue{constructor(e,r,n,a){super(e,r);this._score=n,this._classScore=a}static assertIsValidPredictedBox(e,r){if(ue.assertIsValidLabeledBox(e,r),!me(e.score)||!me(e.classScore))throw new Error(`${r} - expected properties score (${e.score}) and (${e.classScore}) to be a number between [0, 1]`)}get score(){return this._score}get classScore(){return this._classScore}};function pt(o){return o.detection instanceof M}function jt(o,t){return{...o,...{detection:t}}}function Ur(){let o=window.fetch;if(!o)throw new Error("fetch - missing fetch implementation for browser environment");return{Canvas:HTMLCanvasElement,CanvasRenderingContext2D,Image:HTMLImageElement,ImageData,Video:HTMLVideoElement,createCanvasElement:()=>document.createElement("canvas"),createImageElement:()=>document.createElement("img"),createVideoElement:()=>document.createElement("video"),fetch:o,readFile:()=>{throw new Error("readFile - filesystem not available for browser environment")}}}function Se(){return typeof global=="object"&&typeof process!="undefined"&&process.versions!=null&&process.versions.node!=null}function ar(o){let t="";if(!o&&Se())try{o=require("fs")}catch(r){t=r.toString()}return{readFile:o?r=>new Promise((n,a)=>{o.readFile(r,(s,i)=>s?a(s):n(i))}):()=>{throw new Error(`readFile - failed to require fs in nodejs environment with error: ${t}`)}}}function Xr(){let o=global.Canvas||global.HTMLCanvasElement,t=global.Image||global.HTMLImageElement,e=global.Video||global.HTMLVideoElement,r=()=>{if(o)return new o;throw new Error("createCanvasElement - missing Canvas implementation for nodejs environment")},n=()=>{if(t)return new t;throw new Error("createImageElement - missing Image implementation for nodejs environment")},a=()=>{if(e)return new e;throw new Error("createVideoElement - missing Video implementation for nodejs environment")},s=global.fetch,i=ar();return{Canvas:o||class{},CanvasRenderingContext2D:global.CanvasRenderingContext2D||class{},Image:t||class{},ImageData:global.ImageData||class{},Video:global.HTMLVideoElement||class{},createCanvasElement:r,createImageElement:n,createVideoElement:a,fetch:s,...i}}function Jr(){return typeof window=="object"&&typeof document!="undefined"&&typeof HTMLImageElement!="undefined"&&typeof HTMLCanvasElement!="undefined"&&typeof HTMLVideoElement!="undefined"&&typeof ImageData!="undefined"&&typeof CanvasRenderingContext2D!="undefined"}var L;function Nn(){if(!L)throw new Error("getEnv - environment is not defined, check isNodejs() and isBrowser()");return L}function qr(o){L=o}function Zr(){return Jr()?qr(Ur()):Se()?qr(Xr()):null}function Sn(o){if(L||Zr(),!L)throw new Error("monkeyPatch - environment is not defined, check isNodejs() and isBrowser()");let{Canvas:t=L.Canvas,Image:e=L.Image}=o;L.Canvas=t,L.Image=e,L.createCanvasElement=o.createCanvasElement||(()=>new t),L.createImageElement=o.createImageElement||(()=>new e),L.ImageData=o.ImageData||L.ImageData,L.Video=o.Video||L.Video,L.fetch=o.fetch||L.fetch,L.readFile=o.readFile||L.readFile}var P={getEnv:Nn,setEnv:qr,initialize:Zr,createBrowserEnv:Ur,createFileSystem:ar,createNodejsEnv:Xr,monkeyPatch:Sn,isBrowser:Jr,isNodejs:Se};Zr();function Ut(o){return!P.isNodejs()&&typeof o=="string"?document.getElementById(o):o}function O(o){let{Canvas:t,CanvasRenderingContext2D:e}=P.getEnv();if(o instanceof e)return o;let r=Ut(o);if(!(r instanceof t))throw new Error("resolveContext2d - expected canvas to be of instance of Canvas");let n=r.getContext("2d");if(!n)throw new Error("resolveContext2d - canvas 2d context is null");return n}var Kr=(n=>(n.TOP_LEFT="TOP_LEFT",n.TOP_RIGHT="TOP_RIGHT",n.BOTTOM_LEFT="BOTTOM_LEFT",n.BOTTOM_RIGHT="BOTTOM_RIGHT",n))(Kr||{}),fe=class{constructor(t={}){let{anchorPosition:e,backgroundColor:r,fontColor:n,fontSize:a,fontStyle:s,padding:i}=t;this.anchorPosition=e||"TOP_LEFT",this.backgroundColor=r||"rgba(0, 0, 0, 0.5)",this.fontColor=n||"rgba(255, 255, 255, 1)",this.fontSize=a||14,this.fontStyle=s||"Georgia",this.padding=i||4}},gt=class{constructor(t,e,r={}){this.text=typeof t=="string"?[t]:t instanceof gt?t.text:t,this.anchor=e,this.options=new fe(r)}measureWidth(t){let{padding:e}=this.options;return this.text.map(r=>t.measureText(r).width).reduce((r,n)=>r{let g=c+u.x,T=c+u.y+(l+1)*s;r.fillText(f,g,T)})}};var sr=class{constructor(t={}){let{boxColor:e,lineWidth:r,label:n,drawLabelOptions:a}=t;this.boxColor=e||"rgba(0, 0, 255, 1)",this.lineWidth=r||2,this.label=n;let s={anchorPosition:"BOTTOM_LEFT",backgroundColor:this.boxColor};this.drawLabelOptions=new fe({...s,...a})}},Le=class{constructor(t,e={}){this.box=new F(t),this.options=new sr(e)}draw(t){let e=O(t),{boxColor:r,lineWidth:n}=this.options,{x:a,y:s,width:i,height:c}=this.box;e.strokeStyle=r,e.lineWidth=n,e.strokeRect(a,s,i,c);let{label:m}=this.options;m&&new gt([m],{x:a-n/2,y:s},this.options.drawLabelOptions).draw(t)}};function Ln(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let n=r instanceof M?r.score:pt(r)?r.detection.score:void 0,a=r instanceof M?r.box:pt(r)?r.detection.box:new F(r),s=n?`${Ht(n)}`:void 0;new Le(a,{label:s}).draw(o)})}var Pe=v(x());function Ae(o){let{Image:t,Video:e}=P.getEnv();return o instanceof t&&o.complete||o instanceof e&&o.readyState>=3}function Qr(o){return new Promise((t,e)=>{(o instanceof P.getEnv().Canvas||Ae(o))&&t(null);function r(a){!a.currentTarget||(a.currentTarget.removeEventListener("load",n),a.currentTarget.removeEventListener("error",r),e(a))}function n(a){!a.currentTarget||(a.currentTarget.removeEventListener("load",n),a.currentTarget.removeEventListener("error",r),t(a))}o.addEventListener("load",n),o.addEventListener("error",r)})}function to(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToImage - expected buf to be of type: Blob"));let r=new FileReader;r.onload=()=>{typeof r.result!="string"&&e(new Error("bufferToImage - expected reader.result to be a string, in onload"));let n=P.getEnv().createImageElement();n.onload=()=>t(n),n.onerror=e,n.src=r.result},r.onerror=e,r.readAsDataURL(o)})}function Xt(o){let{Image:t,Video:e}=P.getEnv();return o instanceof t?new k(o.naturalWidth,o.naturalHeight):o instanceof e?new k(o.videoWidth,o.videoHeight):new k(o.width,o.height)}function Jt({width:o,height:t}){let{createCanvasElement:e}=P.getEnv(),r=e();return r.width=o,r.height=t,r}function We(o,t){let{ImageData:e}=P.getEnv();if(!(o instanceof e)&&!Ae(o))throw new Error("createCanvasFromMedia - media has not finished loading yet");let{width:r,height:n}=t||Xt(o),a=Jt({width:r,height:n});return o instanceof e?O(a).putImageData(o,0,0):O(a).drawImage(o,0,0,r,n),a}var ir=v(x());async function eo(o,t){let e=t||P.getEnv().createCanvasElement(),[r,n,a]=o.shape.slice(U(o)?1:0),s=ir.tidy(()=>o.as3D(r,n,a).toInt());return await ir.browser.toPixels(s,e),s.dispose(),e}function cr(o){let{Image:t,Canvas:e,Video:r}=P.getEnv();return o instanceof t||o instanceof e||o instanceof r}var V=v(x());function ro(o,t,e=!1){let{Image:r,Canvas:n}=P.getEnv();if(!(o instanceof r||o instanceof n))throw new Error("imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement");if(t<=0)return Jt({width:1,height:1});let a=Xt(o),s=t/Math.max(a.height,a.width),i=s*a.width,c=s*a.height,m=Jt({width:t,height:t}),p=o instanceof n?o:We(o),u=Math.abs(i-c)/2,f=e&&i0&&p.height>0&&O(m).drawImage(p,f,l,i,c),m}var ut=class{constructor(t,e=!1){this._imageTensors=[];this._canvases=[];this._treatAsBatchInput=!1;this._inputDimensions=[];this._inputSize=0;if(!Array.isArray(t))throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${t}`);this._treatAsBatchInput=e,this._batchSize=t.length,t.forEach((r,n)=>{if(ht(r)){this._imageTensors[n]=r,this._inputDimensions[n]=r.shape;return}if(U(r)){let s=r.shape[0];if(s!==1)throw new Error(`NetInput - tf.Tensor4D with batchSize ${s} passed, but not supported in input array`);this._imageTensors[n]=r,this._inputDimensions[n]=r.shape.slice(1);return}let a=r instanceof P.getEnv().Canvas?r:We(r);this._canvases[n]=a,this._inputDimensions[n]=[a.height,a.width,3]})}get imageTensors(){return this._imageTensors}get canvases(){return this._canvases}get isBatchInput(){return this.batchSize>1||this._treatAsBatchInput}get batchSize(){return this._batchSize}get inputDimensions(){return this._inputDimensions}get inputSize(){return this._inputSize}get reshapedInputDimensions(){return it(this.batchSize,0,1).map((t,e)=>this.getReshapedInputDimensions(e))}getInput(t){return this.canvases[t]||this.imageTensors[t]}getInputDimensions(t){return this._inputDimensions[t]}getInputHeight(t){return this._inputDimensions[t][0]}getInputWidth(t){return this._inputDimensions[t][1]}getReshapedInputDimensions(t){if(typeof this.inputSize!="number")throw new Error("getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet");let e=this.getInputWidth(t),r=this.getInputHeight(t);return $r({width:e,height:r},this.inputSize)}toBatchTensor(t,e=!0){return this._inputSize=t,V.tidy(()=>{let r=it(this.batchSize,0,1).map(a=>{let s=this.getInput(a);if(s instanceof V.Tensor){let i=U(s)?s:V.expandDims(s);return i=Yr(i,e),(i.shape[1]!==t||i.shape[2]!==t)&&(i=V.image.resizeBilinear(i,[t,t],!1,!1)),i.as3D(t,t,3)}if(s instanceof P.getEnv().Canvas)return V.browser.fromPixels(ro(s,t,e));throw new Error(`toBatchTensor - at batchIdx ${a}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${s}`)});return V.stack(r.map(a=>V.cast(a,"float32"))).as4D(this.batchSize,t,t,3)})}};async function C(o){if(o instanceof ut)return o;let t=Array.isArray(o)?o:[o];if(!t.length)throw new Error("toNetInput - empty array passed as input");let e=n=>Array.isArray(o)?` at input index ${n}:`:"",r=t.map(Ut);return r.forEach((n,a)=>{if(!cr(n)&&!ht(n)&&!U(n))throw typeof t[a]=="string"?new Error(`toNetInput -${e(a)} string passed, but could not resolve HTMLElement for element id ${t[a]}`):new Error(`toNetInput -${e(a)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);if(U(n)){let s=n.shape[0];if(s!==1)throw new Error(`toNetInput -${e(a)} tf.Tensor4D with batchSize ${s} passed, but not supported in input array`)}}),await Promise.all(r.map(n=>cr(n)&&Qr(n))),new ut(r,Array.isArray(o))}async function le(o,t){let{Canvas:e}=P.getEnv(),r=o;if(!(o instanceof e)){let s=await C(o);if(s.batchSize>1)throw new Error("extractFaces - batchSize > 1 not supported");let i=s.getInput(0);r=i instanceof e?i:await eo(i)}let n=O(r);return t.map(s=>s instanceof M?s.forSize(r.width,r.height).box.floor():s).map(s=>s.clipAtImageBorders(r.width,r.height)).map(({x:s,y:i,width:c,height:m})=>{let p=Jt({width:c,height:m});return c>0&&m>0&&O(p).putImageData(n.getImageData(s,i,c,m),0,0),p})}var mr=v(x());async function de(o,t){if(!ht(o)&&!U(o))throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");if(U(o)&&o.shape[0]>1)throw new Error("extractFaceTensors - batchSize > 1 not supported");return mr.tidy(()=>{let[e,r,n]=o.shape.slice(U(o)?1:0);return t.map(i=>i instanceof M?i.forSize(r,e).box:i).map(i=>i.clipAtImageBorders(r,e)).filter(i=>i.width>0&&i.height>0).map(({x:i,y:c,width:m,height:p})=>mr.slice3d(o.as3D(e,r,n),[c,i,0],[p,m,n]))})}async function xt(o,t){let{fetch:e}=P.getEnv(),r=await e(o,t);if(!(r.status<400))throw new Error(`failed to fetch: (${r.status}) ${r.statusText}, from url: ${r.url}`);return r}async function An(o){let t=await xt(o),e=await t.blob();if(!e.type.startsWith("image/"))throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${e.type}, for url: ${t.url}`);return to(e)}async function oo(o){return(await xt(o)).json()}async function Wn(o){return new Float32Array(await(await xt(o)).arrayBuffer())}function Fo(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToVideo - expected buf to be of type: Blob"));let r=P.getEnv().createVideoElement();r.oncanplay=()=>t(r),r.onerror=e,r.playsInline=!0,r.muted=!0,r.src=URL.createObjectURL(o),r.play()})}async function kn(o){let t=await xt(o),e=await t.blob();if(!e.type.startsWith("video/"))throw new Error(`fetchVideo - expected blob type to be of type video/*, instead have: ${e.type}, for url: ${t.url}`);return Fo(e)}var Do=v(x());function pr(o,t){let e=`${t}-weights_manifest.json`;if(!o)return{modelBaseUri:"",manifestUri:e};if(o==="/")return{modelBaseUri:"/",manifestUri:`/${e}`};let r=o.startsWith("http://")?"http://":o.startsWith("https://")?"https://":"";o=o.replace(r,"");let n=o.split("/").filter(i=>i),a=o.endsWith(".json")?n[n.length-1]:e,s=r+(o.endsWith(".json")?n.slice(0,n.length-1):n).join("/");return s=o.startsWith("/")?`/${s}`:s,{modelBaseUri:s,manifestUri:s==="/"?`/${a}`:`${s}/${a}`}}async function no(o,t){let{manifestUri:e,modelBaseUri:r}=pr(o,t),n=await oo(e);return Do.io.loadWeights(n,r)}function Bn(o,t,e=!1){let{width:r,height:n}=e?Xt(t):t;return o.width=r,o.height=n,{width:r,height:n}}var ye=v(x());var vt=v(x());var A=class{constructor(t){this._params=void 0;this._paramMappings=[];this._name=t}get params(){return this._params}get paramMappings(){return this._paramMappings}get isLoaded(){return!!this.params}getParamFromPath(t){let{obj:e,objProp:r}=this.traversePropertyPath(t);return e[r]}reassignParamFromPath(t,e){let{obj:r,objProp:n}=this.traversePropertyPath(t);r[n].dispose(),r[n]=e}getParamList(){return this._paramMappings.map(({paramPath:t})=>({path:t,tensor:this.getParamFromPath(t)}))}getTrainableParams(){return this.getParamList().filter(t=>t.tensor instanceof vt.Variable)}getFrozenParams(){return this.getParamList().filter(t=>!(t.tensor instanceof vt.Variable))}variable(){this.getFrozenParams().forEach(({path:t,tensor:e})=>{this.reassignParamFromPath(t,e.variable())})}freeze(){this.getTrainableParams().forEach(({path:t,tensor:e})=>{let r=vt.tensor(e.dataSync());e.dispose(),this.reassignParamFromPath(t,r)})}dispose(t=!0){this.getParamList().forEach(e=>{if(t&&e.tensor.isDisposed)throw new Error(`param tensor has already been disposed for path ${e.path}`);e.tensor.dispose()}),this._params=void 0}serializeParams(){return new Float32Array(this.getParamList().map(({tensor:t})=>Array.from(t.dataSync())).reduce((t,e)=>t.concat(e)))}async load(t){if(t instanceof Float32Array){this.extractWeights(t);return}await this.loadFromUri(t)}async loadFromUri(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromUri - expected model uri`);let e=await no(t,this.getDefaultModelName());this.loadFromWeightMap(e)}async loadFromDisk(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromDisk - expected model file path`);let{readFile:e}=P.getEnv(),{manifestUri:r,modelBaseUri:n}=pr(t,this.getDefaultModelName()),a=m=>Promise.all(m.map(p=>e(p).then(u=>u.buffer))),s=vt.io.weightsLoaderFactory(a),i=JSON.parse((await e(r)).toString()),c=await s(i,n);this.loadFromWeightMap(c)}loadFromWeightMap(t){let{paramMappings:e,params:r}=this.extractParamsFromWeightMap(t);this._paramMappings=e,this._params=r}extractWeights(t){let{paramMappings:e,params:r}=this.extractParams(t);this._paramMappings=e,this._params=r}traversePropertyPath(t){if(!this.params)throw new Error("traversePropertyPath - model has no loaded params");let e=t.split("/").reduce((a,s)=>{if(!a.nextObj.hasOwnProperty(s))throw new Error(`traversePropertyPath - object does not have property ${s}, for path ${t}`);return{obj:a.nextObj,objProp:s,nextObj:a.nextObj[s]}},{nextObj:this.params}),{obj:r,objProp:n}=e;if(!r||!n||!(r[n]instanceof vt.Tensor))throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${t}`);return{obj:r,objProp:n}}};var I=v(x());var he=v(x());function H(o,t,e){return he.tidy(()=>{let r=he.separableConv2d(o,t.depthwise_filter,t.pointwise_filter,e,"same");return r=he.add(r,t.bias),r})}function ur(o,t,e=!1){return I.tidy(()=>{let r=I.relu(e?I.add(I.conv2d(o,t.conv0.filters,[2,2],"same"),t.conv0.bias):H(o,t.conv0,[2,2])),n=H(r,t.conv1,[1,1]),a=I.relu(I.add(r,n)),s=H(a,t.conv2,[1,1]);return I.relu(I.add(r,I.add(n,s)))})}function ke(o,t,e=!1,r=!0){return I.tidy(()=>{let n=I.relu(e?I.add(I.conv2d(o,t.conv0.filters,r?[2,2]:[1,1],"same"),t.conv0.bias):H(o,t.conv0,r?[2,2]:[1,1])),a=H(n,t.conv1,[1,1]),s=I.relu(I.add(n,a)),i=H(s,t.conv2,[1,1]),c=I.relu(I.add(n,I.add(a,i))),m=H(c,t.conv3,[1,1]);return I.relu(I.add(n,I.add(a,I.add(i,m))))})}var It=v(x());function qt(o,t,e="same",r=!1){return It.tidy(()=>{let n=It.add(It.conv2d(o,t.filters,[1,1],e),t.bias);return r?It.relu(n):n})}function B(o,t){Object.keys(o).forEach(e=>{t.some(r=>r.originalPath===e)||o[e].dispose()})}var fr=v(x());function be(o,t){return(e,r,n,a)=>{let s=fr.tensor4d(o(e*r*n*n),[n,n,e,r]),i=fr.tensor1d(o(r));return t.push({paramPath:`${a}/filters`},{paramPath:`${a}/bias`}),{filters:s,bias:i}}}var lr=v(x());function dr(o,t){return(e,r,n)=>{let a=lr.tensor2d(o(e*r),[e,r]),s=lr.tensor1d(o(r));return t.push({paramPath:`${n}/weights`},{paramPath:`${n}/bias`}),{weights:a,bias:s}}}var Re=v(x());var Be=class{constructor(t,e,r){this.depthwise_filter=t;this.pointwise_filter=e;this.bias=r}};function ge(o,t){return(e,r,n)=>{let a=Re.tensor4d(o(9*e),[3,3,e,1]),s=Re.tensor4d(o(e*r),[1,1,e,r]),i=Re.tensor1d(o(r));return t.push({paramPath:`${n}/depthwise_filter`},{paramPath:`${n}/pointwise_filter`},{paramPath:`${n}/bias`}),new Be(a,s,i)}}function xe(o){return t=>{let e=o(`${t}/depthwise_filter`,4),r=o(`${t}/pointwise_filter`,4),n=o(`${t}/bias`,1);return new Be(e,r,n)}}function Y(o,t){return(e,r,n)=>{let a=o[e];if(!Ot(a,r))throw new Error(`expected weightMap[${e}] to be a Tensor${r}D, instead have ${a}`);return t.push({originalPath:e,paramPath:n||e}),a}}function R(o){let t=o;function e(n){let a=t.slice(0,n);return t=t.slice(n),a}function r(){return t}return{extractWeights:e,getRemainingWeights:r}}function hr(o,t){let e=be(o,t),r=ge(o,t);function n(s,i,c,m=!1){let p=m?e(s,i,3,`${c}/conv0`):r(s,i,`${c}/conv0`),u=r(i,i,`${c}/conv1`),f=r(i,i,`${c}/conv2`);return{conv0:p,conv1:u,conv2:f}}function a(s,i,c,m=!1){let{conv0:p,conv1:u,conv2:f}=n(s,i,c,m),l=r(i,i,`${c}/conv3`);return{conv0:p,conv1:u,conv2:f,conv3:l}}return{extractDenseBlock3Params:n,extractDenseBlock4Params:a}}function Eo(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractDenseBlock4Params:n}=hr(e,t),a=n(3,32,"dense0",!0),s=n(32,64,"dense1"),i=n(64,128,"dense2"),c=n(128,256,"dense3");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:a,dense1:s,dense2:i,dense3:c}}}function br(o){return t=>{let e=o(`${t}/filters`,4),r=o(`${t}/bias`,1);return{filters:e,bias:r}}}function gr(o,t){let e=Y(o,t),r=br(e),n=xe(e);function a(i,c=!1){let m=c?r(`${i}/conv0`):n(`${i}/conv0`),p=n(`${i}/conv1`),u=n(`${i}/conv2`);return{conv0:m,conv1:p,conv2:u}}function s(i,c=!1){let m=c?r(`${i}/conv0`):n(`${i}/conv0`),p=n(`${i}/conv1`),u=n(`${i}/conv2`),f=n(`${i}/conv3`);return{conv0:m,conv1:p,conv2:u,conv3:f}}return{extractDenseBlock3Params:a,extractDenseBlock4Params:s}}function Mo(o){let t=[],{extractDenseBlock4Params:e}=gr(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2"),dense3:e("dense3")};return B(o,t),{params:r,paramMappings:t}}var ve=class extends A{constructor(){super("FaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceFeatureExtractor - load model before inference");return ye.tidy(()=>{let r=ye.cast(t.toBatchTensor(112,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=ke(a,e.dense0,!0);return s=ke(s,e.dense1),s=ke(s,e.dense2),s=ke(s,e.dense3),s=ye.avgPool(s,[7,7],[2,2],"valid"),s})}async forward(t){return this.forwardInput(await C(t))}getDefaultModelName(){return"face_feature_extractor_model"}extractParamsFromWeightMap(t){return Mo(t)}extractParams(t){return Eo(t)}};var No=v(x());var _e=v(x());function $e(o,t){return _e.tidy(()=>_e.add(_e.matMul(o,t.weights),t.bias))}function Co(o,t,e){let r=[],{extractWeights:n,getRemainingWeights:a}=R(o),i=dr(n,r)(t,e,"fc");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:r,params:{fc:i}}}function Io(o){let t=[],e=Y(o,t);function r(a){let s=e(`${a}/weights`,2),i=e(`${a}/bias`,1);return{weights:s,bias:i}}let n={fc:r("fc")};return B(o,t),{params:n,paramMappings:t}}function xr(o){let t={},e={};return Object.keys(o).forEach(r=>{let n=r.startsWith("fc")?e:t;n[r]=o[r]}),{featureExtractorMap:t,classifierMap:e}}var Te=class extends A{constructor(e,r){super(e);this._faceFeatureExtractor=r}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return No.tidy(()=>{let n=e instanceof ut?this.faceFeatureExtractor.forwardInput(e):e;return $e(n.as2D(n.shape[0],-1),r.fc)})}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:n}=this.extractClassifierParams(e);this._params=r,this._paramMappings=n}extractClassifierParams(e){return Co(e,this.getClassifierChannelsIn(),this.getClassifierChannelsOut())}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:n}=xr(e);return this.faceFeatureExtractor.loadFromWeightMap(r),Io(n)}extractParams(e){let r=this.getClassifierChannelsIn(),n=this.getClassifierChannelsOut(),a=n*r+n,s=e.slice(0,e.length-a),i=e.slice(e.length-a);return this.faceFeatureExtractor.extractWeights(s),this.extractClassifierParams(i)}};var ao=["neutral","happy","sad","angry","fearful","disgusted","surprised"],yt=class{constructor(t){this.neutral=0;this.happy=0;this.sad=0;this.angry=0;this.fearful=0;this.disgusted=0;this.surprised=0;if(t.length!==7)throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${t.length}`);ao.forEach((e,r)=>{this[e]=t[r]})}asSortedArray(){return ao.map(t=>({expression:t,probability:this[t]})).sort((t,e)=>e.probability-t.probability)}};var Oe=class extends Te{constructor(t=new ve){super("FaceExpressionNet",t)}forwardInput(t){return Pe.tidy(()=>Pe.softmax(this.runNet(t)))}async forward(t){return this.forwardInput(await C(t))}async predictExpressions(t){let e=await C(t),r=await this.forwardInput(e),n=await Promise.all(Pe.unstack(r).map(async s=>{let i=s.dataSync();return s.dispose(),i}));r.dispose();let a=n.map(s=>new yt(s));return e.isBatchInput?a:a[0]}getDefaultModelName(){return"face_expression_model"}getClassifierChannelsIn(){return 256}getClassifierChannelsOut(){return 7}};function so(o){return o.expressions instanceof yt}function vr(o,t){return{...o,...{expressions:t}}}function Rn(o,t,e=.1,r){(Array.isArray(t)?t:[t]).forEach(a=>{let s=a instanceof yt?a:so(a)?a.expressions:void 0;if(!s)throw new Error("drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof");let c=s.asSortedArray().filter(u=>u.probability>e),m=pt(a)?a.detection.box.bottomLeft:r||new b(0,0);new gt(c.map(u=>`${u.expression} (${Ht(u.probability)})`),m).draw(o)})}function Zt(o){return pt(o)&&o.landmarks instanceof z&&o.unshiftedLandmarks instanceof z&&o.alignedRect instanceof M}function $n(o){let t=(i,c,m,p)=>Math.atan2(p-c,m-i)%Math.PI,e=i=>i*180/Math.PI,r={roll:void 0,pitch:void 0,yaw:void 0};if(!o||!o._positions||o._positions.length!==68)return r;let n=o._positions;r.roll=-t(n[36]._x,n[36]._y,n[45]._x,n[45]._y),r.pitch=t(0,Math.abs(n[0]._x-n[30]._x)/n[30]._x,Math.PI,Math.abs(n[16]._x-n[30]._x)/n[30]._x);let a=n.reduce((i,c)=>ii>c._y?i:c._y,-1/0);return r.yaw=Math.PI*(o._imgDims._height/(s-a)/1.4-1),r}function we(o,t){let{box:e}=o.detection,r=t.shiftBy(e.x,e.y),n=r.align(),{imageDims:a}=o.detection,s=new M(o.detection.score,n.rescale(a.reverse()),a),i=$n(t);return{...o,...{landmarks:r,unshiftedLandmarks:t,alignedRect:s,angle:i}}}var yr=class{constructor(t={}){let{drawLines:e=!0,drawPoints:r=!0,lineWidth:n,lineColor:a,pointSize:s,pointColor:i}=t;this.drawLines=e,this.drawPoints=r,this.lineWidth=n||1,this.pointSize=s||2,this.lineColor=a||"rgba(0, 255, 255, 1)",this.pointColor=i||"rgba(255, 0, 255, 1)"}},_r=class{constructor(t,e={}){this.faceLandmarks=t,this.options=new yr(e)}draw(t){let e=O(t),{drawLines:r,drawPoints:n,lineWidth:a,lineColor:s,pointSize:i,pointColor:c}=this.options;if(r&&this.faceLandmarks instanceof Gt&&(e.strokeStyle=s,e.lineWidth=a,dt(e,this.faceLandmarks.getJawOutline()),dt(e,this.faceLandmarks.getLeftEyeBrow()),dt(e,this.faceLandmarks.getRightEyeBrow()),dt(e,this.faceLandmarks.getNose()),dt(e,this.faceLandmarks.getLeftEye(),!0),dt(e,this.faceLandmarks.getRightEye(),!0),dt(e,this.faceLandmarks.getMouth(),!0)),n){e.strokeStyle=c,e.fillStyle=c;let m=p=>{e.beginPath(),e.arc(p.x,p.y,i,0,2*Math.PI),e.fill()};this.faceLandmarks.positions.forEach(m)}}};function On(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let n=r instanceof z?r:Zt(r)?r.landmarks:void 0;if(!n)throw new Error("drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks> or array thereof");new _r(n).draw(o)})}var So="1.7.4";var ft=v(x());var S=v(x());function Vn(o,t){let e=be(o,t),r=ge(o,t);function n(s,i,c){let m=r(s,i,`${c}/separable_conv0`),p=r(i,i,`${c}/separable_conv1`),u=e(s,i,1,`${c}/expansion_conv`);return{separable_conv0:m,separable_conv1:p,expansion_conv:u}}function a(s,i){let c=r(s,s,`${i}/separable_conv0`),m=r(s,s,`${i}/separable_conv1`),p=r(s,s,`${i}/separable_conv2`);return{separable_conv0:c,separable_conv1:m,separable_conv2:p}}return{extractConvParams:e,extractSeparableConvParams:r,extractReductionBlockParams:n,extractMainBlockParams:a}}function Lo(o,t){let e=[],{extractWeights:r,getRemainingWeights:n}=R(o),{extractConvParams:a,extractSeparableConvParams:s,extractReductionBlockParams:i,extractMainBlockParams:c}=Vn(r,e),m=a(3,32,3,"entry_flow/conv_in"),p=i(32,64,"entry_flow/reduction_block_0"),u=i(64,128,"entry_flow/reduction_block_1"),f={conv_in:m,reduction_block_0:p,reduction_block_1:u},l={};it(t,0,1).forEach(h=>{l[`main_block_${h}`]=c(128,`middle_flow/main_block_${h}`)});let g=i(128,256,"exit_flow/reduction_block"),T=s(256,512,"exit_flow/separable_conv"),D={reduction_block:g,separable_conv:T};if(n().length!==0)throw new Error(`weights remaing after extract: ${n().length}`);return{paramMappings:e,params:{entry_flow:f,middle_flow:l,exit_flow:D}}}function Yn(o,t){let e=Y(o,t),r=br(e),n=xe(e);function a(i){let c=n(`${i}/separable_conv0`),m=n(`${i}/separable_conv1`),p=r(`${i}/expansion_conv`);return{separable_conv0:c,separable_conv1:m,expansion_conv:p}}function s(i){let c=n(`${i}/separable_conv0`),m=n(`${i}/separable_conv1`),p=n(`${i}/separable_conv2`);return{separable_conv0:c,separable_conv1:m,separable_conv2:p}}return{extractConvParams:r,extractSeparableConvParams:n,extractReductionBlockParams:a,extractMainBlockParams:s}}function Ao(o,t){let e=[],{extractConvParams:r,extractSeparableConvParams:n,extractReductionBlockParams:a,extractMainBlockParams:s}=Yn(o,e),i=r("entry_flow/conv_in"),c=a("entry_flow/reduction_block_0"),m=a("entry_flow/reduction_block_1"),p={conv_in:i,reduction_block_0:c,reduction_block_1:m},u={};it(t,0,1).forEach(T=>{u[`main_block_${T}`]=s(`middle_flow/main_block_${T}`)});let f=a("exit_flow/reduction_block"),l=n("exit_flow/separable_conv"),g={reduction_block:f,separable_conv:l};return B(o,e),{params:{entry_flow:p,middle_flow:u,exit_flow:g},paramMappings:e}}function Wo(o,t,e){return S.add(S.conv2d(o,t.filters,e,"same"),t.bias)}function co(o,t,e=!0){let r=e?S.relu(o):o;return r=H(r,t.separable_conv0,[1,1]),r=H(S.relu(r),t.separable_conv1,[1,1]),r=S.maxPool(r,[3,3],[2,2],"same"),r=S.add(r,Wo(o,t.expansion_conv,[2,2])),r}function Gn(o,t){let e=H(S.relu(o),t.separable_conv0,[1,1]);return e=H(S.relu(e),t.separable_conv1,[1,1]),e=H(S.relu(e),t.separable_conv2,[1,1]),e=S.add(e,o),e}var Tr=class extends A{constructor(e){super("TinyXception");this._numMainBlocks=e}forwardInput(e){let{params:r}=this;if(!r)throw new Error("TinyXception - load model before inference");return S.tidy(()=>{let n=S.cast(e.toBatchTensor(112,!0),"float32"),s=rt(n,[122.782,117.001,104.298]).div(255),i=S.relu(Wo(s,r.entry_flow.conv_in,[2,2]));return i=co(i,r.entry_flow.reduction_block_0,!1),i=co(i,r.entry_flow.reduction_block_1),it(this._numMainBlocks,0,1).forEach(c=>{i=Gn(i,r.middle_flow[`main_block_${c}`])}),i=co(i,r.exit_flow.reduction_block),i=S.relu(H(i,r.exit_flow.separable_conv,[1,1])),i})}async forward(e){return this.forwardInput(await C(e))}getDefaultModelName(){return"tiny_xception_model"}extractParamsFromWeightMap(e){return Ao(e,this._numMainBlocks)}extractParams(e){return Lo(e,this._numMainBlocks)}};function ko(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),n=dr(e,t),a=n(512,1,"fc/age"),s=n(512,2,"fc/gender");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{fc:{age:a,gender:s}}}}function Bo(o){let t=[],e=Y(o,t);function r(a){let s=e(`${a}/weights`,2),i=e(`${a}/bias`,1);return{weights:s,bias:i}}let n={fc:{age:r("fc/age"),gender:r("fc/gender")}};return B(o,t),{params:n,paramMappings:t}}var Pr=(e=>(e.FEMALE="female",e.MALE="male",e))(Pr||{});var He=class extends A{constructor(e=new Tr(2)){super("AgeGenderNet");this._faceFeatureExtractor=e}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return ft.tidy(()=>{let n=e instanceof ut?this.faceFeatureExtractor.forwardInput(e):e,a=ft.avgPool(n,[7,7],[2,2],"valid").as2D(n.shape[0],-1),s=$e(a,r.fc.age).as1D(),i=$e(a,r.fc.gender);return{age:s,gender:i}})}forwardInput(e){return ft.tidy(()=>{let{age:r,gender:n}=this.runNet(e);return{age:r,gender:ft.softmax(n)}})}async forward(e){return this.forwardInput(await C(e))}async predictAgeAndGender(e){let r=await C(e),n=await this.forwardInput(r),a=ft.unstack(n.age),s=ft.unstack(n.gender),i=a.map((m,p)=>({ageTensor:m,genderTensor:s[p]})),c=await Promise.all(i.map(async({ageTensor:m,genderTensor:p})=>{let u=m.dataSync()[0],f=p.dataSync()[0],l=f>.5,g=l?"male":"female",T=l?f:1-f;return m.dispose(),p.dispose(),{age:u,gender:g,genderProbability:T}}));return n.age.dispose(),n.gender.dispose(),r.isBatchInput?c:c[0]}getDefaultModelName(){return"age_gender_model"}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:n}=this.extractClassifierParams(e);this._params=r,this._paramMappings=n}extractClassifierParams(e){return ko(e)}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:n}=xr(e);return this.faceFeatureExtractor.loadFromWeightMap(r),Bo(n)}extractParams(e){let n=e.slice(0,e.length-1539),a=e.slice(e.length-1539);return this.faceFeatureExtractor.extractWeights(n),this.extractClassifierParams(a)}};var G=v(x());var Fe=class extends Te{postProcess(t,e,r){let n=r.map(({width:s,height:i})=>{let c=e/Math.max(i,s);return{width:s*c,height:i*c}}),a=n.length;return G.tidy(()=>{let s=(u,f)=>G.stack([G.fill([68],u,"float32"),G.fill([68],f,"float32")],1).as2D(1,136).as1D(),i=(u,f)=>{let{width:l,height:g}=n[u];return f(l,g)?Math.abs(l-g)/2:0},c=u=>i(u,(f,l)=>fi(u,(f,l)=>ls(c(f),m(f))))).div(G.stack(Array.from(Array(a),(u,f)=>s(n[f].width,n[f].height))))})}forwardInput(t){return G.tidy(()=>{let e=this.runNet(t);return this.postProcess(e,t.inputSize,t.inputDimensions.map(([r,n])=>({height:r,width:n})))})}async forward(t){return this.forwardInput(await C(t))}async detectLandmarks(t){let e=await C(t),r=G.tidy(()=>G.unstack(this.forwardInput(e))),n=await Promise.all(r.map(async(a,s)=>{let i=Array.from(a.dataSync()),c=i.filter((p,u)=>or(u)),m=i.filter((p,u)=>!or(u));return new Gt(Array(68).fill(0).map((p,u)=>new b(c[u],m[u])),{height:e.getInputHeight(s),width:e.getInputWidth(s)})}));return r.forEach(a=>a.dispose()),e.isBatchInput?n:n[0]}getClassifierChannelsOut(){return 136}};var Kt=class extends Fe{constructor(t=new ve){super("FaceLandmark68Net",t)}getDefaultModelName(){return"face_landmark_68_model"}getClassifierChannelsIn(){return 256}};var De=v(x());function Ro(o){let t=[],{extractDenseBlock3Params:e}=gr(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2")};return B(o,t),{params:r,paramMappings:t}}function $o(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractDenseBlock3Params:n}=hr(e,t),a=n(3,32,"dense0",!0),s=n(32,64,"dense1"),i=n(64,128,"dense2");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:a,dense1:s,dense2:i}}}var wr=class extends A{constructor(){super("TinyFaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("TinyFaceFeatureExtractor - load model before inference");return De.tidy(()=>{let r=De.cast(t.toBatchTensor(112,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=ur(a,e.dense0,!0);return s=ur(s,e.dense1),s=ur(s,e.dense2),s=De.avgPool(s,[14,14],[2,2],"valid"),s})}async forward(t){return this.forwardInput(await C(t))}getDefaultModelName(){return"face_feature_extractor_tiny_model"}extractParamsFromWeightMap(t){return Ro(t)}extractParams(t){return $o(t)}};var ze=class extends Fe{constructor(t=new wr){super("FaceLandmark68TinyNet",t)}getDefaultModelName(){return"face_landmark_68_tiny_model"}getClassifierChannelsIn(){return 128}};var mo=class extends Kt{};var nt=v(x());var Ee=v(x());var Fr=v(x());function Oo(o,t){return Fr.add(Fr.mul(o,t.weights),t.biases)}function po(o,t,e,r,n="same"){let{filters:a,bias:s}=t.conv,i=Ee.conv2d(o,a,e,n);return i=Ee.add(i,s),i=Oo(i,t.scale),r?Ee.relu(i):i}function Ho(o,t){return po(o,t,[1,1],!0)}function uo(o,t){return po(o,t,[1,1],!1)}function Dr(o,t){return po(o,t,[2,2],!0,"valid")}var j=v(x());function jn(o,t){function e(i,c,m){let p=o(i),u=p.length/(c*m*m);if(Rr(u))throw new Error(`depth has to be an integer: ${u}, weights.length: ${p.length}, numFilters: ${c}, filterSize: ${m}`);return j.tidy(()=>j.transpose(j.tensor4d(p,[c,u,m,m]),[2,3,1,0]))}function r(i,c,m,p){let u=e(i,c,m),f=j.tensor1d(o(c));return t.push({paramPath:`${p}/filters`},{paramPath:`${p}/bias`}),{filters:u,bias:f}}function n(i,c){let m=j.tensor1d(o(i)),p=j.tensor1d(o(i));return t.push({paramPath:`${c}/weights`},{paramPath:`${c}/biases`}),{weights:m,biases:p}}function a(i,c,m,p){let u=r(i,c,m,`${p}/conv`),f=n(c,`${p}/scale`);return{conv:u,scale:f}}function s(i,c,m,p,u=!1){let f=a((u?.5:1)*i,c,m,`${p}/conv1`),l=a(i,c,m,`${p}/conv2`);return{conv1:f,conv2:l}}return{extractConvLayerParams:a,extractResidualLayerParams:s}}function zo(o){let{extractWeights:t,getRemainingWeights:e}=R(o),r=[],{extractConvLayerParams:n,extractResidualLayerParams:a}=jn(t,r),s=n(4704,32,7,"conv32_down"),i=a(9216,32,3,"conv32_1"),c=a(9216,32,3,"conv32_2"),m=a(9216,32,3,"conv32_3"),p=a(36864,64,3,"conv64_down",!0),u=a(36864,64,3,"conv64_1"),f=a(36864,64,3,"conv64_2"),l=a(36864,64,3,"conv64_3"),g=a(147456,128,3,"conv128_down",!0),T=a(147456,128,3,"conv128_1"),D=a(147456,128,3,"conv128_2"),h=a(589824,256,3,"conv256_down",!0),_=a(589824,256,3,"conv256_1"),y=a(589824,256,3,"conv256_2"),E=a(589824,256,3,"conv256_down_out"),W=j.tidy(()=>j.transpose(j.tensor2d(t(256*128),[128,256]),[1,0]));if(r.push({paramPath:"fc"}),e().length!==0)throw new Error(`weights remaing after extract: ${e().length}`);return{params:{conv32_down:s,conv32_1:i,conv32_2:c,conv32_3:m,conv64_down:p,conv64_1:u,conv64_2:f,conv64_3:l,conv128_down:g,conv128_1:T,conv128_2:D,conv256_down:h,conv256_1:_,conv256_2:y,conv256_down_out:E,fc:W},paramMappings:r}}function Un(o,t){let e=Y(o,t);function r(s){let i=e(`${s}/scale/weights`,1),c=e(`${s}/scale/biases`,1);return{weights:i,biases:c}}function n(s){let i=e(`${s}/conv/filters`,4),c=e(`${s}/conv/bias`,1),m=r(s);return{conv:{filters:i,bias:c},scale:m}}function a(s){return{conv1:n(`${s}/conv1`),conv2:n(`${s}/conv2`)}}return{extractConvLayerParams:n,extractResidualLayerParams:a}}function Vo(o){let t=[],{extractConvLayerParams:e,extractResidualLayerParams:r}=Un(o,t),n=e("conv32_down"),a=r("conv32_1"),s=r("conv32_2"),i=r("conv32_3"),c=r("conv64_down"),m=r("conv64_1"),p=r("conv64_2"),u=r("conv64_3"),f=r("conv128_down"),l=r("conv128_1"),g=r("conv128_2"),T=r("conv256_down"),D=r("conv256_1"),h=r("conv256_2"),_=r("conv256_down_out"),{fc:y}=o;if(t.push({originalPath:"fc",paramPath:"fc"}),!Br(y))throw new Error(`expected weightMap[fc] to be a Tensor2D, instead have ${y}`);let E={conv32_down:n,conv32_1:a,conv32_2:s,conv32_3:i,conv64_down:c,conv64_1:m,conv64_2:p,conv64_3:u,conv128_down:f,conv128_1:l,conv128_2:g,conv256_down:T,conv256_1:D,conv256_2:h,conv256_down_out:_,fc:y};return B(o,t),{params:E,paramMappings:t}}var $=v(x());function ot(o,t){let e=Ho(o,t.conv1);return e=uo(e,t.conv2),e=$.add(e,o),e=$.relu(e),e}function Ve(o,t){let e=Dr(o,t.conv1);e=uo(e,t.conv2);let r=$.avgPool(o,2,2,"valid"),n=$.zeros(r.shape),a=r.shape[3]!==e.shape[3];if(r.shape[1]!==e.shape[1]||r.shape[2]!==e.shape[2]){let i=[...e.shape];i[1]=1;let c=$.zeros(i);e=$.concat([e,c],1);let m=[...e.shape];m[2]=1;let p=$.zeros(m);e=$.concat([e,p],2)}return r=a?$.concat([r,n],3):r,e=$.add(r,e),e=$.relu(e),e}var Qt=class extends A{constructor(){super("FaceRecognitionNet")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceRecognitionNet - load model before inference");return nt.tidy(()=>{let r=nt.cast(t.toBatchTensor(150,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=Dr(a,e.conv32_down);s=nt.maxPool(s,3,2,"valid"),s=ot(s,e.conv32_1),s=ot(s,e.conv32_2),s=ot(s,e.conv32_3),s=Ve(s,e.conv64_down),s=ot(s,e.conv64_1),s=ot(s,e.conv64_2),s=ot(s,e.conv64_3),s=Ve(s,e.conv128_down),s=ot(s,e.conv128_1),s=ot(s,e.conv128_2),s=Ve(s,e.conv256_down),s=ot(s,e.conv256_1),s=ot(s,e.conv256_2),s=Ve(s,e.conv256_down_out);let i=s.mean([1,2]);return nt.matMul(i,e.fc)})}async forward(t){return this.forwardInput(await C(t))}async computeFaceDescriptor(t){var a;if((a=t==null?void 0:t.shape)!=null&&a.some(s=>s<=0))return new Float32Array(128);let e=await C(t),r=nt.tidy(()=>nt.unstack(this.forwardInput(e))),n=await Promise.all(r.map(s=>s.data()));return r.forEach(s=>s.dispose()),e.isBatchInput?n:n[0]}getDefaultModelName(){return"face_recognition_model"}extractParamsFromWeightMap(t){return Vo(t)}extractParams(t){return zo(t)}};function Xn(o){let t=new Qt;return t.extractWeights(o),t}function Er(o,t){return{...o,...{descriptor:t}}}function Jn(o){return typeof o.age=="number"}function Mr(o,t){return{...o,...{age:t}}}function qn(o){return(o.gender==="male"||o.gender==="female")&&me(o.genderProbability)}function Cr(o,t,e){return{...o,...{gender:t,genderProbability:e}}}var Lt=v(x());var at=v(x());function Zn(o,t){function e(c,m){let p=at.tensor4d(o(9*c),[3,3,c,1]),u=at.tensor1d(o(c)),f=at.tensor1d(o(c)),l=at.tensor1d(o(c)),g=at.tensor1d(o(c));return t.push({paramPath:`${m}/filters`},{paramPath:`${m}/batch_norm_scale`},{paramPath:`${m}/batch_norm_offset`},{paramPath:`${m}/batch_norm_mean`},{paramPath:`${m}/batch_norm_variance`}),{filters:p,batch_norm_scale:u,batch_norm_offset:f,batch_norm_mean:l,batch_norm_variance:g}}function r(c,m,p,u,f){let l=at.tensor4d(o(c*m*p*p),[p,p,c,m]),g=at.tensor1d(o(m));return t.push({paramPath:`${u}/filters`},{paramPath:`${u}/${f?"batch_norm_offset":"bias"}`}),{filters:l,bias:g}}function n(c,m,p,u){let{filters:f,bias:l}=r(c,m,p,u,!0);return{filters:f,batch_norm_offset:l}}function a(c,m,p){let u=e(c,`${p}/depthwise_conv`),f=n(c,m,1,`${p}/pointwise_conv`);return{depthwise_conv:u,pointwise_conv:f}}function s(){let c=n(3,32,3,"mobilenetv1/conv_0"),m=a(32,64,"mobilenetv1/conv_1"),p=a(64,128,"mobilenetv1/conv_2"),u=a(128,128,"mobilenetv1/conv_3"),f=a(128,256,"mobilenetv1/conv_4"),l=a(256,256,"mobilenetv1/conv_5"),g=a(256,512,"mobilenetv1/conv_6"),T=a(512,512,"mobilenetv1/conv_7"),D=a(512,512,"mobilenetv1/conv_8"),h=a(512,512,"mobilenetv1/conv_9"),_=a(512,512,"mobilenetv1/conv_10"),y=a(512,512,"mobilenetv1/conv_11"),E=a(512,1024,"mobilenetv1/conv_12"),W=a(1024,1024,"mobilenetv1/conv_13");return{conv_0:c,conv_1:m,conv_2:p,conv_3:u,conv_4:f,conv_5:l,conv_6:g,conv_7:T,conv_8:D,conv_9:h,conv_10:_,conv_11:y,conv_12:E,conv_13:W}}function i(){let c=n(1024,256,1,"prediction_layer/conv_0"),m=n(256,512,3,"prediction_layer/conv_1"),p=n(512,128,1,"prediction_layer/conv_2"),u=n(128,256,3,"prediction_layer/conv_3"),f=n(256,128,1,"prediction_layer/conv_4"),l=n(128,256,3,"prediction_layer/conv_5"),g=n(256,64,1,"prediction_layer/conv_6"),T=n(64,128,3,"prediction_layer/conv_7"),D=r(512,12,1,"prediction_layer/box_predictor_0/box_encoding_predictor"),h=r(512,9,1,"prediction_layer/box_predictor_0/class_predictor"),_=r(1024,24,1,"prediction_layer/box_predictor_1/box_encoding_predictor"),y=r(1024,18,1,"prediction_layer/box_predictor_1/class_predictor"),E=r(512,24,1,"prediction_layer/box_predictor_2/box_encoding_predictor"),W=r(512,18,1,"prediction_layer/box_predictor_2/class_predictor"),tt=r(256,24,1,"prediction_layer/box_predictor_3/box_encoding_predictor"),lt=r(256,18,1,"prediction_layer/box_predictor_3/class_predictor"),q=r(256,24,1,"prediction_layer/box_predictor_4/box_encoding_predictor"),Dt=r(256,18,1,"prediction_layer/box_predictor_4/class_predictor"),Et=r(128,24,1,"prediction_layer/box_predictor_5/box_encoding_predictor"),Mt=r(128,18,1,"prediction_layer/box_predictor_5/class_predictor");return{conv_0:c,conv_1:m,conv_2:p,conv_3:u,conv_4:f,conv_5:l,conv_6:g,conv_7:T,box_predictor_0:{box_encoding_predictor:D,class_predictor:h},box_predictor_1:{box_encoding_predictor:_,class_predictor:y},box_predictor_2:{box_encoding_predictor:E,class_predictor:W},box_predictor_3:{box_encoding_predictor:tt,class_predictor:lt},box_predictor_4:{box_encoding_predictor:q,class_predictor:Dt},box_predictor_5:{box_encoding_predictor:Et,class_predictor:Mt}}}return{extractMobilenetV1Params:s,extractPredictionLayerParams:i}}function Yo(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractMobilenetV1Params:n,extractPredictionLayerParams:a}=Zn(e,t),s=n(),i=a(),m={extra_dim:at.tensor3d(e(5118*4),[1,5118,4])};if(t.push({paramPath:"output_layer/extra_dim"}),r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{params:{mobilenetv1:s,prediction_layer:i,output_layer:m},paramMappings:t}}function Kn(o,t){let e=Y(o,t);function r(m,p,u){let f=e(`${m}/Conv2d_${p}_pointwise/weights`,4,`${u}/filters`),l=e(`${m}/Conv2d_${p}_pointwise/convolution_bn_offset`,1,`${u}/batch_norm_offset`);return{filters:f,batch_norm_offset:l}}function n(m){let p=`mobilenetv1/conv_${m}`,u=`MobilenetV1/Conv2d_${m}_depthwise`,f=`${p}/depthwise_conv`,l=`${p}/pointwise_conv`,g=e(`${u}/depthwise_weights`,4,`${f}/filters`),T=e(`${u}/BatchNorm/gamma`,1,`${f}/batch_norm_scale`),D=e(`${u}/BatchNorm/beta`,1,`${f}/batch_norm_offset`),h=e(`${u}/BatchNorm/moving_mean`,1,`${f}/batch_norm_mean`),_=e(`${u}/BatchNorm/moving_variance`,1,`${f}/batch_norm_variance`);return{depthwise_conv:{filters:g,batch_norm_scale:T,batch_norm_offset:D,batch_norm_mean:h,batch_norm_variance:_},pointwise_conv:r("MobilenetV1",m,l)}}function a(){return{conv_0:r("MobilenetV1",0,"mobilenetv1/conv_0"),conv_1:n(1),conv_2:n(2),conv_3:n(3),conv_4:n(4),conv_5:n(5),conv_6:n(6),conv_7:n(7),conv_8:n(8),conv_9:n(9),conv_10:n(10),conv_11:n(11),conv_12:n(12),conv_13:n(13)}}function s(m,p){let u=e(`${m}/weights`,4,`${p}/filters`),f=e(`${m}/biases`,1,`${p}/bias`);return{filters:u,bias:f}}function i(m){let p=s(`Prediction/BoxPredictor_${m}/BoxEncodingPredictor`,`prediction_layer/box_predictor_${m}/box_encoding_predictor`),u=s(`Prediction/BoxPredictor_${m}/ClassPredictor`,`prediction_layer/box_predictor_${m}/class_predictor`);return{box_encoding_predictor:p,class_predictor:u}}function c(){return{conv_0:r("Prediction",0,"prediction_layer/conv_0"),conv_1:r("Prediction",1,"prediction_layer/conv_1"),conv_2:r("Prediction",2,"prediction_layer/conv_2"),conv_3:r("Prediction",3,"prediction_layer/conv_3"),conv_4:r("Prediction",4,"prediction_layer/conv_4"),conv_5:r("Prediction",5,"prediction_layer/conv_5"),conv_6:r("Prediction",6,"prediction_layer/conv_6"),conv_7:r("Prediction",7,"prediction_layer/conv_7"),box_predictor_0:i(0),box_predictor_1:i(1),box_predictor_2:i(2),box_predictor_3:i(3),box_predictor_4:i(4),box_predictor_5:i(5)}}return{extractMobilenetV1Params:a,extractPredictionLayerParams:c}}function Go(o){let t=[],{extractMobilenetV1Params:e,extractPredictionLayerParams:r}=Kn(o,t),n=o["Output/extra_dim"];if(t.push({originalPath:"Output/extra_dim",paramPath:"output_layer/extra_dim"}),!ht(n))throw new Error(`expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have ${n}`);let a={mobilenetv1:e(),prediction_layer:r(),output_layer:{extra_dim:n}};return B(o,t),{params:a,paramMappings:t}}var _t=v(x());var Nt=v(x());function Z(o,t,e){return Nt.tidy(()=>{let r=Nt.conv2d(o,t.filters,e,"same");return r=Nt.add(r,t.batch_norm_offset),Nt.clipByValue(r,0,6)})}var Qn=.0010000000474974513;function ta(o,t,e){return _t.tidy(()=>{let r=_t.depthwiseConv2d(o,t.filters,e,"same");return r=_t.batchNorm(r,t.batch_norm_mean,t.batch_norm_variance,t.batch_norm_offset,t.batch_norm_scale,Qn),_t.clipByValue(r,0,6)})}function ea(o){return[2,4,6,12].some(t=>t===o)?[2,2]:[1,1]}function jo(o,t){return _t.tidy(()=>{let e,r=Z(o,t.conv_0,[2,2]);if([t.conv_1,t.conv_2,t.conv_3,t.conv_4,t.conv_5,t.conv_6,t.conv_7,t.conv_8,t.conv_9,t.conv_10,t.conv_11,t.conv_12,t.conv_13].forEach((a,s)=>{let i=s+1,c=ea(i);r=ta(r,a.depthwise_conv,c),r=Z(r,a.pointwise_conv,[1,1]),i===11&&(e=r)}),e===null)throw new Error("mobileNetV1 - output of conv layer 11 is null");return{out:r,conv11:e}})}function ra(o,t,e){let r=o.arraySync(),n=Math.min(r[t][0],r[t][2]),a=Math.min(r[t][1],r[t][3]),s=Math.max(r[t][0],r[t][2]),i=Math.max(r[t][1],r[t][3]),c=Math.min(r[e][0],r[e][2]),m=Math.min(r[e][1],r[e][3]),p=Math.max(r[e][0],r[e][2]),u=Math.max(r[e][1],r[e][3]),f=(s-n)*(i-a),l=(p-c)*(u-m);if(f<=0||l<=0)return 0;let g=Math.max(n,c),T=Math.max(a,m),D=Math.min(s,p),h=Math.min(i,u),_=Math.max(D-g,0)*Math.max(h-T,0);return _/(f+l-_)}function Uo(o,t,e,r,n){let a=o.shape[0],s=Math.min(e,a),i=t.map((p,u)=>({score:p,boxIndex:u})).filter(p=>p.score>n).sort((p,u)=>u.score-p.score),c=p=>p<=r?1:0,m=[];return i.forEach(p=>{if(m.length>=s)return;let u=p.score;for(let f=m.length-1;f>=0;--f){let l=ra(o,p.boxIndex,m[f]);if(l!==0&&(p.score*=c(l),p.score<=n))break}u===p.score&&m.push(p.boxIndex)}),m}var d=v(x());function oa(o){let t=d.unstack(d.transpose(o,[1,0])),e=[d.sub(t[2],t[0]),d.sub(t[3],t[1])],r=[d.add(t[0],d.div(e[0],2)),d.add(t[1],d.div(e[1],2))];return{sizes:e,centers:r}}function na(o,t){let{sizes:e,centers:r}=oa(o),n=d.unstack(d.transpose(t,[1,0])),a=d.div(d.mul(d.exp(d.div(n[2],5)),e[0]),2),s=d.add(d.mul(d.div(n[0],10),e[0]),r[0]),i=d.div(d.mul(d.exp(d.div(n[3],5)),e[1]),2),c=d.add(d.mul(d.div(n[1],10),e[1]),r[1]);return d.transpose(d.stack([d.sub(s,a),d.sub(c,i),d.add(s,a),d.add(c,i)]),[1,0])}function Xo(o,t,e){return d.tidy(()=>{let r=o.shape[0],n=na(d.reshape(d.tile(e.extra_dim,[r,1,1]),[-1,4]),d.reshape(o,[-1,4]));n=d.reshape(n,[r,n.shape[0]/r,4]);let a=d.sigmoid(d.slice(t,[0,0,1],[-1,-1,-1])),s=d.slice(a,[0,0,0],[-1,-1,1]);s=d.reshape(s,[r,s.shape[1]]);let i=d.unstack(n),c=d.unstack(s);return{boxes:i,scores:c}})}var Ge=v(x());var Ye=v(x());function te(o,t){return Ye.tidy(()=>{let e=o.shape[0],r=Ye.reshape(qt(o,t.box_encoding_predictor),[e,-1,1,4]),n=Ye.reshape(qt(o,t.class_predictor),[e,-1,3]);return{boxPredictionEncoding:r,classPrediction:n}})}function Jo(o,t,e){return Ge.tidy(()=>{let r=Z(o,e.conv_0,[1,1]),n=Z(r,e.conv_1,[2,2]),a=Z(n,e.conv_2,[1,1]),s=Z(a,e.conv_3,[2,2]),i=Z(s,e.conv_4,[1,1]),c=Z(i,e.conv_5,[2,2]),m=Z(c,e.conv_6,[1,1]),p=Z(m,e.conv_7,[2,2]),u=te(t,e.box_predictor_0),f=te(o,e.box_predictor_1),l=te(n,e.box_predictor_2),g=te(s,e.box_predictor_3),T=te(c,e.box_predictor_4),D=te(p,e.box_predictor_5),h=Ge.concat([u.boxPredictionEncoding,f.boxPredictionEncoding,l.boxPredictionEncoding,g.boxPredictionEncoding,T.boxPredictionEncoding,D.boxPredictionEncoding],1),_=Ge.concat([u.classPrediction,f.classPrediction,l.classPrediction,g.classPrediction,T.classPrediction,D.classPrediction],1);return{boxPredictions:h,classPredictions:_}})}var X=class{constructor({minConfidence:t,maxResults:e}={}){this._name="SsdMobilenetv1Options";if(this._minConfidence=t||.5,this._maxResults=e||100,typeof this._minConfidence!="number"||this._minConfidence<=0||this._minConfidence>=1)throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);if(typeof this._maxResults!="number")throw new Error(`${this._name} - expected maxResults to be a number`)}get minConfidence(){return this._minConfidence}get maxResults(){return this._maxResults}};var St=class extends A{constructor(){super("SsdMobilenetv1")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("SsdMobilenetv1 - load model before inference");return Lt.tidy(()=>{let r=Lt.cast(t.toBatchTensor(512,!1),"float32"),n=Lt.sub(Lt.div(r,127.5),1),a=jo(n,e.mobilenetv1),{boxPredictions:s,classPredictions:i}=Jo(a.out,a.conv11,e.prediction_layer);return Xo(s,i,e.output_layer)})}async forward(t){return this.forwardInput(await C(t))}async locateFaces(t,e={}){let{maxResults:r,minConfidence:n}=new X(e),a=await C(t),{boxes:s,scores:i}=this.forwardInput(a),c=s[0],m=i[0];for(let y=1;y{let[E,W]=[Math.max(0,h[y][0]),Math.min(1,h[y][2])].map(q=>q*D),[tt,lt]=[Math.max(0,h[y][1]),Math.min(1,h[y][3])].map(q=>q*T);return new M(p[y],new Yt(tt,E,lt-tt,W-E),{height:a.getInputHeight(0),width:a.getInputWidth(0)})});return c.dispose(),m.dispose(),_}getDefaultModelName(){return"ssd_mobilenetv1_model"}extractParamsFromWeightMap(t){return Go(t)}extractParams(t){return Yo(t)}};function qo(o){let t=new St;return t.extractWeights(o),t}function aa(o){return qo(o)}var fo=class extends St{};var Zo=.4,Ko=[new b(.738768,.874946),new b(2.42204,2.65704),new b(4.30971,7.04493),new b(10.246,4.59428),new b(12.6868,11.8741)],Qo=[new b(1.603231,2.094468),new b(6.041143,7.080126),new b(2.882459,3.518061),new b(4.266906,5.178857),new b(9.041765,10.66308)],tn=[117.001,114.697,97.404],en="tiny_yolov2_model",rn="tiny_yolov2_separable_conv_model";var N=v(x());var Ir=o=>typeof o=="number";function lo(o){if(!o)throw new Error(`invalid config: ${o}`);if(typeof o.withSeparableConvs!="boolean")throw new Error(`config.withSeparableConvs has to be a boolean, have: ${o.withSeparableConvs}`);if(!Ir(o.iouThreshold)||o.iouThreshold<0||o.iouThreshold>1)throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${o.iouThreshold}`);if(!Array.isArray(o.classes)||!o.classes.length||!o.classes.every(t=>typeof t=="string"))throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(o.classes)}`);if(!Array.isArray(o.anchors)||!o.anchors.length||!o.anchors.map(t=>t||{}).every(t=>Ir(t.x)&&Ir(t.y)))throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(o.anchors)}`);if(o.meanRgb&&(!Array.isArray(o.meanRgb)||o.meanRgb.length!==3||!o.meanRgb.every(Ir)))throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(o.meanRgb)}`)}var Q=v(x());var K=v(x());function Me(o){return K.tidy(()=>{let t=K.mul(o,K.scalar(.10000000149011612));return K.add(K.relu(K.sub(o,t)),t)})}function Tt(o,t){return Q.tidy(()=>{let e=Q.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=Q.conv2d(e,t.conv.filters,[1,1],"valid"),e=Q.sub(e,t.bn.sub),e=Q.mul(e,t.bn.truediv),e=Q.add(e,t.conv.bias),Me(e)})}var At=v(x());function Pt(o,t){return At.tidy(()=>{let e=At.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=At.separableConv2d(e,t.depthwise_filter,t.pointwise_filter,[1,1],"valid"),e=At.add(e,t.bias),Me(e)})}var ho=v(x());function sa(o,t){let e=be(o,t);function r(s,i){let c=ho.tensor1d(o(s)),m=ho.tensor1d(o(s));return t.push({paramPath:`${i}/sub`},{paramPath:`${i}/truediv`}),{sub:c,truediv:m}}function n(s,i,c){let m=e(s,i,3,`${c}/conv`),p=r(i,`${c}/bn`);return{conv:m,bn:p}}let a=ge(o,t);return{extractConvParams:e,extractConvWithBatchNormParams:n,extractSeparableConvParams:a}}function on(o,t,e,r){let{extractWeights:n,getRemainingWeights:a}=R(o),s=[],{extractConvParams:i,extractConvWithBatchNormParams:c,extractSeparableConvParams:m}=sa(n,s),p;if(t.withSeparableConvs){let[u,f,l,g,T,D,h,_,y]=r,E=t.isFirstLayerConv2d?i(u,f,3,"conv0"):m(u,f,"conv0"),W=m(f,l,"conv1"),tt=m(l,g,"conv2"),lt=m(g,T,"conv3"),q=m(T,D,"conv4"),Dt=m(D,h,"conv5"),Et=_?m(h,_,"conv6"):void 0,Mt=y?m(_,y,"conv7"):void 0,$t=i(y||_||h,5*e,1,"conv8");p={conv0:E,conv1:W,conv2:tt,conv3:lt,conv4:q,conv5:Dt,conv6:Et,conv7:Mt,conv8:$t}}else{let[u,f,l,g,T,D,h,_,y]=r,E=c(u,f,"conv0"),W=c(f,l,"conv1"),tt=c(l,g,"conv2"),lt=c(g,T,"conv3"),q=c(T,D,"conv4"),Dt=c(D,h,"conv5"),Et=c(h,_,"conv6"),Mt=c(_,y,"conv7"),$t=i(y,5*e,1,"conv8");p={conv0:E,conv1:W,conv2:tt,conv3:lt,conv4:q,conv5:Dt,conv6:Et,conv7:Mt,conv8:$t}}if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{params:p,paramMappings:s}}function ia(o,t){let e=Y(o,t);function r(i){let c=e(`${i}/sub`,1),m=e(`${i}/truediv`,1);return{sub:c,truediv:m}}function n(i){let c=e(`${i}/filters`,4),m=e(`${i}/bias`,1);return{filters:c,bias:m}}function a(i){let c=n(`${i}/conv`),m=r(`${i}/bn`);return{conv:c,bn:m}}let s=xe(e);return{extractConvParams:n,extractConvWithBatchNormParams:a,extractSeparableConvParams:s}}function nn(o,t){let e=[],{extractConvParams:r,extractConvWithBatchNormParams:n,extractSeparableConvParams:a}=ia(o,e),s;if(t.withSeparableConvs){let i=t.filterSizes&&t.filterSizes.length||9;s={conv0:t.isFirstLayerConv2d?r("conv0"):a("conv0"),conv1:a("conv1"),conv2:a("conv2"),conv3:a("conv3"),conv4:a("conv4"),conv5:a("conv5"),conv6:i>7?a("conv6"):void 0,conv7:i>8?a("conv7"):void 0,conv8:r("conv8")}}else s={conv0:n("conv0"),conv1:n("conv1"),conv2:n("conv2"),conv3:n("conv3"),conv4:n("conv4"),conv5:n("conv5"),conv6:n("conv6"),conv7:n("conv7"),conv8:r("conv8")};return B(o,e),{params:s,paramMappings:e}}var st=class{constructor({inputSize:t,scoreThreshold:e}={}){this._name="TinyYolov2Options";if(this._inputSize=t||416,this._scoreThreshold=e||.5,typeof this._inputSize!="number"||this._inputSize%32!==0)throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);if(typeof this._scoreThreshold!="number"||this._scoreThreshold<=0||this._scoreThreshold>=1)throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`)}get inputSize(){return this._inputSize}get scoreThreshold(){return this._scoreThreshold}};var bo=class extends A{constructor(e){super("TinyYolov2");lo(e),this._config=e}get config(){return this._config}get withClassScores(){return this.config.withClassScores||this.config.classes.length>1}get boxEncodingSize(){return 5+(this.withClassScores?this.config.classes.length:0)}runTinyYolov2(e,r){let n=Tt(e,r.conv0);return n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv1),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv2),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv3),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv4),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv5),n=N.maxPool(n,[2,2],[1,1],"same"),n=Tt(n,r.conv6),n=Tt(n,r.conv7),qt(n,r.conv8,"valid",!1)}runMobilenet(e,r){let n=this.config.isFirstLayerConv2d?Me(qt(e,r.conv0,"valid",!1)):Pt(e,r.conv0);return n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv1),n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv2),n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv3),n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv4),n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv5),n=N.maxPool(n,[2,2],[1,1],"same"),n=r.conv6?Pt(n,r.conv6):n,n=r.conv7?Pt(n,r.conv7):n,qt(n,r.conv8,"valid",!1)}forwardInput(e,r){let{params:n}=this;if(!n)throw new Error("TinyYolov2 - load model before inference");return N.tidy(()=>{let a=N.cast(e.toBatchTensor(r,!1),"float32");return a=this.config.meanRgb?rt(a,this.config.meanRgb):a,a=a.div(255),this.config.withSeparableConvs?this.runMobilenet(a,n):this.runTinyYolov2(a,n)})}async forward(e,r){return this.forwardInput(await C(e),r)}async detect(e,r={}){let{inputSize:n,scoreThreshold:a}=new st(r),s=await C(e),i=await this.forwardInput(s,n),c=N.tidy(()=>N.unstack(i)[0].expandDims()),m={width:s.getInputWidth(0),height:s.getInputHeight(0)},p=await this.extractBoxes(c,s.getReshapedInputDimensions(0),a);i.dispose(),c.dispose();let u=p.map(h=>h.box),f=p.map(h=>h.score),l=p.map(h=>h.classScore),g=p.map(h=>this.config.classes[h.label]);return Vr(u.map(h=>h.rescale(n)),f,this.config.iouThreshold,!0).map(h=>new bt(f[h],l[h],g[h],u[h],m))}getDefaultModelName(){return""}extractParamsFromWeightMap(e){return nn(e,this.config)}extractParams(e){let r=this.config.filterSizes||bo.DEFAULT_FILTER_SIZES,n=r?r.length:void 0;if(n!==7&&n!==8&&n!==9)throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${n} filterSizes in config`);return on(e,this.config,this.boxEncodingSize,r)}async extractBoxes(e,r,n){let{width:a,height:s}=r,i=Math.max(a,s),c=i/a,m=i/s,p=e.shape[1],u=this.config.anchors.length,[f,l,g]=N.tidy(()=>{let _=e.reshape([p,p,u,this.boxEncodingSize]),y=_.slice([0,0,0,0],[p,p,u,4]),E=_.slice([0,0,0,4],[p,p,u,1]),W=this.withClassScores?N.softmax(_.slice([0,0,0,5],[p,p,u,this.config.classes.length]),3):N.scalar(0);return[y,E,W]}),T=[],D=await l.array(),h=await f.array();for(let _=0;_n){let tt=(y+Ne(h[_][y][E][0]))/p*c,lt=(_+Ne(h[_][y][E][1]))/p*m,q=Math.exp(h[_][y][E][2])*this.config.anchors[E].x/p*c,Dt=Math.exp(h[_][y][E][3])*this.config.anchors[E].y/p*m,Et=tt-q/2,Mt=lt-Dt/2,$t={row:_,col:y,anchor:E},{classScore:vo,label:yo}=this.withClassScores?await this.extractPredictedClass(g,$t):{classScore:1,label:0};T.push({box:new Vt(Et,Mt,Et+q,Mt+Dt),score:W,classScore:W*vo,label:yo,...$t})}}return f.dispose(),l.dispose(),g.dispose(),T}async extractPredictedClass(e,r){let{row:n,col:a,anchor:s}=r,i=await e.array();return Array(this.config.classes.length).fill(0).map((c,m)=>i[n][a][s][m]).map((c,m)=>({classScore:c,label:m})).reduce((c,m)=>c.classScore>m.classScore?c:m)}},ee=bo;ee.DEFAULT_FILTER_SIZES=[3,16,32,64,128,256,512,1024,1024];var re=class extends ee{constructor(t=!0){let e={withSeparableConvs:t,iouThreshold:Zo,classes:["face"],...t?{anchors:Qo,meanRgb:tn}:{anchors:Ko,withClassScores:!0}};super(e)}get withSeparableConvs(){return this.config.withSeparableConvs}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(n=>new M(n.score,n.relativeBox,{width:n.imageWidth,height:n.imageHeight}))}getDefaultModelName(){return this.withSeparableConvs?rn:en}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};function ca(o,t=!0){let e=new re(t);return e.extractWeights(o),e}var je=class extends st{constructor(){super(...arguments);this._name="TinyFaceDetectorOptions"}};var J=class{async then(t){return t(await this.run())}async run(){throw new Error("ComposableTask - run is not implemented")}};var Xe=v(x());var go=v(x());async function oe(o,t,e,r,n=({alignedRect:a})=>a){let a=o.map(c=>Zt(c)?n(c):c.detection),s=r||(t instanceof go.Tensor?await de(t,a):await le(t,a)),i=await e(s);return s.forEach(c=>c instanceof go.Tensor&&c.dispose()),i}async function Ce(o,t,e,r,n){return oe([o],t,async a=>e(a[0]),r,n)}var an=.4,sn=[new b(1.603231,2.094468),new b(6.041143,7.080126),new b(2.882459,3.518061),new b(4.266906,5.178857),new b(9.041765,10.66308)],cn=[117.001,114.697,97.404];var ne=class extends ee{constructor(){let t={withSeparableConvs:!0,iouThreshold:an,classes:["face"],anchors:sn,meanRgb:cn,isFirstLayerConv2d:!0,filterSizes:[3,16,32,64,128,256,512]};super(t)}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(n=>new M(n.score,n.relativeBox,{width:n.imageWidth,height:n.imageHeight}))}getDefaultModelName(){return"tiny_face_detector_model"}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};var w={ssdMobilenetv1:new St,tinyFaceDetector:new ne,tinyYolov2:new re,faceLandmark68Net:new Kt,faceLandmark68TinyNet:new ze,faceRecognitionNet:new Qt,faceExpressionNet:new Oe,ageGenderNet:new He},mn=(o,t)=>w.ssdMobilenetv1.locateFaces(o,t),ma=(o,t)=>w.tinyFaceDetector.locateFaces(o,t),pa=(o,t)=>w.tinyYolov2.locateFaces(o,t),pn=o=>w.faceLandmark68Net.detectLandmarks(o),ua=o=>w.faceLandmark68TinyNet.detectLandmarks(o),fa=o=>w.faceRecognitionNet.computeFaceDescriptor(o),la=o=>w.faceExpressionNet.predictExpressions(o),da=o=>w.ageGenderNet.predictAgeAndGender(o),un=o=>w.ssdMobilenetv1.load(o),ha=o=>w.tinyFaceDetector.load(o),ba=o=>w.tinyYolov2.load(o),ga=o=>w.faceLandmark68Net.load(o),xa=o=>w.faceLandmark68TinyNet.load(o),va=o=>w.faceRecognitionNet.load(o),ya=o=>w.faceExpressionNet.load(o),_a=o=>w.ageGenderNet.load(o),Ta=un,Pa=mn,wa=pn;var Nr=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.extractedFaces=n}},ae=class extends Nr{async run(){let t=await this.parentTask,e=await oe(t,this.input,async r=>Promise.all(r.map(n=>w.faceExpressionNet.predictExpressions(n))),this.extractedFaces);return t.map((r,n)=>vr(r,e[n]))}withAgeAndGender(){return new ie(this,this.input)}},se=class extends Nr{async run(){let t=await this.parentTask;if(!t)return;let e=await Ce(t,this.input,r=>w.faceExpressionNet.predictExpressions(r),this.extractedFaces);return vr(t,e)}withAgeAndGender(){return new ce(this,this.input)}},Wt=class extends ae{withAgeAndGender(){return new Bt(this,this.input)}withFaceDescriptors(){return new wt(this,this.input)}},kt=class extends se{withAgeAndGender(){return new Rt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Sr=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.extractedFaces=n}},ie=class extends Sr{async run(){let t=await this.parentTask,e=await oe(t,this.input,async r=>Promise.all(r.map(n=>w.ageGenderNet.predictAgeAndGender(n))),this.extractedFaces);return t.map((r,n)=>{let{age:a,gender:s,genderProbability:i}=e[n];return Mr(Cr(r,s,i),a)})}withFaceExpressions(){return new ae(this,this.input)}},ce=class extends Sr{async run(){let t=await this.parentTask;if(!t)return;let{age:e,gender:r,genderProbability:n}=await Ce(t,this.input,a=>w.ageGenderNet.predictAgeAndGender(a),this.extractedFaces);return Mr(Cr(t,r,n),e)}withFaceExpressions(){return new se(this,this.input)}},Bt=class extends ie{withFaceExpressions(){return new Wt(this,this.input)}withFaceDescriptors(){return new wt(this,this.input)}},Rt=class extends ce{withFaceExpressions(){return new kt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Ue=class extends J{constructor(e,r){super();this.parentTask=e;this.input=r}},wt=class extends Ue{async run(){let t=await this.parentTask;return(await oe(t,this.input,r=>Promise.all(r.map(n=>w.faceRecognitionNet.computeFaceDescriptor(n))),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}))).map((r,n)=>Er(t[n],r))}withFaceExpressions(){return new Wt(this,this.input)}withAgeAndGender(){return new Bt(this,this.input)}},Ft=class extends Ue{async run(){let t=await this.parentTask;if(!t)return;let e=await Ce(t,this.input,r=>w.faceRecognitionNet.computeFaceDescriptor(r),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}));return Er(t,e)}withFaceExpressions(){return new kt(this,this.input)}withAgeAndGender(){return new Rt(this,this.input)}};var Je=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.useTinyLandmarkNet=n}get landmarkNet(){return this.useTinyLandmarkNet?w.faceLandmark68TinyNet:w.faceLandmark68Net}},qe=class extends Je{async run(){let t=await this.parentTask,e=t.map(s=>s.detection),r=this.input instanceof Xe.Tensor?await de(this.input,e):await le(this.input,e),n=await Promise.all(r.map(s=>this.landmarkNet.detectLandmarks(s)));return r.forEach(s=>s instanceof Xe.Tensor&&s.dispose()),t.filter((s,i)=>n[i]).map((s,i)=>we(s,n[i]))}withFaceExpressions(){return new Wt(this,this.input)}withAgeAndGender(){return new Bt(this,this.input)}withFaceDescriptors(){return new wt(this,this.input)}},Ze=class extends Je{async run(){let t=await this.parentTask;if(!t)return;let{detection:e}=t,r=this.input instanceof Xe.Tensor?await de(this.input,[e]):await le(this.input,[e]),n=await this.landmarkNet.detectLandmarks(r[0]);return r.forEach(a=>a instanceof Xe.Tensor&&a.dispose()),we(t,n)}withFaceExpressions(){return new kt(this,this.input)}withAgeAndGender(){return new Rt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Ke=class extends J{constructor(e,r=new X){super();this.input=e;this.options=r}},Ie=class extends Ke{async run(){let{input:t,options:e}=this,r;if(e instanceof je)r=w.tinyFaceDetector.locateFaces(t,e);else if(e instanceof X)r=w.ssdMobilenetv1.locateFaces(t,e);else if(e instanceof st)r=w.tinyYolov2.locateFaces(t,e);else throw new Error("detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | TinyYolov2Options");return r}runAndExtendWithFaceDetections(){return new Promise((t,e)=>{this.run().then(r=>t(r.map(n=>jt({},n)))).catch(r=>e(r))})}withFaceLandmarks(t=!1){return new qe(this.runAndExtendWithFaceDetections(),this.input,t)}withFaceExpressions(){return new ae(this.runAndExtendWithFaceDetections(),this.input)}withAgeAndGender(){return new ie(this.runAndExtendWithFaceDetections(),this.input)}},Qe=class extends Ke{async run(){let t=await new Ie(this.input,this.options),e=t[0];return t.forEach(r=>{r.score>e.score&&(e=r)}),e}runAndExtendWithFaceDetection(){return new Promise(async t=>{let e=await this.run();t(e?jt({},e):void 0)})}withFaceLandmarks(t=!1){return new Ze(this.runAndExtendWithFaceDetection(),this.input,t)}withFaceExpressions(){return new se(this.runAndExtendWithFaceDetection(),this.input)}withAgeAndGender(){return new ce(this.runAndExtendWithFaceDetection(),this.input)}};function Fa(o,t=new X){return new Qe(o,t)}function Lr(o,t=new X){return new Ie(o,t)}async function fn(o,t){return Lr(o,new X(t?{minConfidence:t}:{})).withFaceLandmarks().withFaceDescriptors()}async function Da(o,t={}){return Lr(o,new st(t)).withFaceLandmarks().withFaceDescriptors()}var Ea=fn;function xo(o,t){if(o.length!==t.length)throw new Error("euclideanDistance: arr1.length !== arr2.length");let e=Array.from(o),r=Array.from(t);return Math.sqrt(e.map((n,a)=>n-r[a]).reduce((n,a)=>n+a*a,0))}var tr=class{constructor(t,e=.6){this._distanceThreshold=e;let r=Array.isArray(t)?t:[t];if(!r.length)throw new Error("FaceRecognizer.constructor - expected atleast one input");let n=1,a=()=>`person ${n++}`;this._labeledDescriptors=r.map(s=>{if(s instanceof mt)return s;if(s instanceof Float32Array)return new mt(a(),[s]);if(s.descriptor&&s.descriptor instanceof Float32Array)return new mt(a(),[s.descriptor]);throw new Error("FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>")})}get labeledDescriptors(){return this._labeledDescriptors}get distanceThreshold(){return this._distanceThreshold}computeMeanDistance(t,e){return e.map(r=>xo(r,t)).reduce((r,n)=>r+n,0)/(e.length||1)}matchDescriptor(t){return this.labeledDescriptors.map(({descriptors:e,label:r})=>new pe(r,this.computeMeanDistance(t,e))).reduce((e,r)=>e.distancet.toJSON())}}static fromJSON(t){let e=t.labeledDescriptors.map(r=>mt.fromJSON(r));return new tr(e,t.distanceThreshold)}};function Ma(o){let t=new ne;return t.extractWeights(o),t}function ln(o,t){let{width:e,height:r}=new k(t.width,t.height);if(e<=0||r<=0)throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({width:e,height:r})}`);if(Array.isArray(o))return o.map(n=>ln(n,{width:e,height:r}));if(Zt(o)){let n=o.detection.forSize(e,r),a=o.unshiftedLandmarks.forSize(n.box.width,n.box.height);return we(jt(o,n),a)}return pt(o)?jt(o,o.detection.forSize(e,r)):o instanceof z||o instanceof M?o.forSize(e,r):o}var Ia=So;0&&(module.exports={AgeGenderNet,BoundingBox,Box,ComposableTask,ComputeAllFaceDescriptorsTask,ComputeFaceDescriptorsTaskBase,ComputeSingleFaceDescriptorTask,DetectAllFaceLandmarksTask,DetectAllFacesTask,DetectFaceLandmarksTaskBase,DetectFacesTaskBase,DetectSingleFaceLandmarksTask,DetectSingleFaceTask,Dimensions,FACE_EXPRESSION_LABELS,FaceDetection,FaceDetectionNet,FaceExpressionNet,FaceExpressions,FaceLandmark68Net,FaceLandmark68TinyNet,FaceLandmarkNet,FaceLandmarks,FaceLandmarks5,FaceLandmarks68,FaceMatch,FaceMatcher,FaceRecognitionNet,Gender,LabeledBox,LabeledFaceDescriptors,NetInput,NeuralNetwork,ObjectDetection,Point,PredictedBox,Rect,SsdMobilenetv1,SsdMobilenetv1Options,TinyFaceDetector,TinyFaceDetectorOptions,TinyYolov2,TinyYolov2Options,allFaces,allFacesSsdMobilenetv1,allFacesTinyYolov2,awaitMediaLoaded,bufferToImage,computeFaceDescriptor,createCanvas,createCanvasFromMedia,createFaceDetectionNet,createFaceRecognitionNet,createSsdMobilenetv1,createTinyFaceDetector,createTinyYolov2,detectAllFaces,detectFaceLandmarks,detectFaceLandmarksTiny,detectLandmarks,detectSingleFace,draw,env,euclideanDistance,extendWithAge,extendWithFaceDescriptor,extendWithFaceDetection,extendWithFaceExpressions,extendWithFaceLandmarks,extendWithGender,extractFaceTensors,extractFaces,fetchImage,fetchJson,fetchNetWeights,fetchOrThrow,fetchVideo,getContext2dOrThrow,getMediaDimensions,imageTensorToCanvas,imageToSquare,inverseSigmoid,iou,isMediaElement,isMediaLoaded,isWithAge,isWithFaceDetection,isWithFaceExpressions,isWithFaceLandmarks,isWithGender,loadAgeGenderModel,loadFaceDetectionModel,loadFaceExpressionModel,loadFaceLandmarkModel,loadFaceLandmarkTinyModel,loadFaceRecognitionModel,loadSsdMobilenetv1Model,loadTinyFaceDetectorModel,loadTinyYolov2Model,loadWeightMap,locateFaces,matchDimensions,minBbox,nets,nonMaxSuppression,normalize,padToSquare,predictAgeAndGender,recognizeFaceExpressions,resizeResults,resolveInput,shuffleArray,sigmoid,ssdMobilenetv1,tf,tinyFaceDetector,tinyYolov2,toNetInput,utils,validateConfig,version}); +"use strict";var dn=Object.create;var er=Object.defineProperty;var hn=Object.getOwnPropertyDescriptor;var bn=Object.getOwnPropertyNames;var gn=Object.getPrototypeOf,xn=Object.prototype.hasOwnProperty;var vn=(o,t)=>()=>(t||o((t={exports:{}}).exports,t),t.exports),Ar=(o,t)=>{for(var e in t)er(o,e,{get:t[e],enumerable:!0})},_o=(o,t,e,r)=>{if(t&&typeof t=="object"||typeof t=="function")for(let n of bn(t))!xn.call(o,n)&&n!==e&&er(o,n,{get:()=>t[n],enumerable:!(r=hn(t,n))||r.enumerable});return o};var v=(o,t,e)=>(e=o!=null?dn(gn(o)):{},_o(t||!o||!o.__esModule?er(e,"default",{value:o,enumerable:!0}):e,o)),yn=o=>_o(er({},"__esModule",{value:!0}),o);var x=vn((ka,rr)=>{"use strict";var To=Object.defineProperty,_n=Object.getOwnPropertyDescriptor,Tn=Object.getOwnPropertyNames,Pn=Object.prototype.hasOwnProperty,Wr=(o,t,e,r)=>{if(t&&typeof t=="object"||typeof t=="function")for(let n of Tn(t))!Pn.call(o,n)&&n!==e&&To(o,n,{get:()=>t[n],enumerable:!(r=_n(t,n))||r.enumerable});return o},Po=(o,t,e)=>(Wr(o,t,"default"),e&&Wr(e,t,"default")),wn=o=>Wr(To({},"__esModule",{value:!0}),o),kr={};rr.exports=wn(kr);Po(kr,require("@tensorflow/tfjs"),rr.exports);Po(kr,require("@tensorflow/tfjs-backend-wasm"),rr.exports)});var Na={};Ar(Na,{AgeGenderNet:()=>He,BoundingBox:()=>Vt,Box:()=>F,ComposableTask:()=>J,ComputeAllFaceDescriptorsTask:()=>wt,ComputeFaceDescriptorsTaskBase:()=>Ue,ComputeSingleFaceDescriptorTask:()=>Ft,DetectAllFaceLandmarksTask:()=>qe,DetectAllFacesTask:()=>Ie,DetectFaceLandmarksTaskBase:()=>Je,DetectFacesTaskBase:()=>Ke,DetectSingleFaceLandmarksTask:()=>Ze,DetectSingleFaceTask:()=>Qe,Dimensions:()=>k,FACE_EXPRESSION_LABELS:()=>ao,FaceDetection:()=>M,FaceDetectionNet:()=>fo,FaceExpressionNet:()=>Oe,FaceExpressions:()=>yt,FaceLandmark68Net:()=>Kt,FaceLandmark68TinyNet:()=>ze,FaceLandmarkNet:()=>mo,FaceLandmarks:()=>z,FaceLandmarks5:()=>Gr,FaceLandmarks68:()=>Gt,FaceMatch:()=>pe,FaceMatcher:()=>tr,FaceRecognitionNet:()=>Qt,Gender:()=>Pr,LabeledBox:()=>ue,LabeledFaceDescriptors:()=>mt,NetInput:()=>ut,NeuralNetwork:()=>A,ObjectDetection:()=>bt,Point:()=>b,PredictedBox:()=>jr,Rect:()=>Yt,SsdMobilenetv1:()=>St,SsdMobilenetv1Options:()=>X,TinyFaceDetector:()=>ne,TinyFaceDetectorOptions:()=>je,TinyYolov2:()=>re,TinyYolov2Options:()=>st,allFaces:()=>Ea,allFacesSsdMobilenetv1:()=>fn,allFacesTinyYolov2:()=>Da,awaitMediaLoaded:()=>Qr,bufferToImage:()=>to,computeFaceDescriptor:()=>fa,createCanvas:()=>Jt,createCanvasFromMedia:()=>We,createFaceDetectionNet:()=>aa,createFaceRecognitionNet:()=>Xn,createSsdMobilenetv1:()=>qo,createTinyFaceDetector:()=>Ma,createTinyYolov2:()=>ca,detectAllFaces:()=>Lr,detectFaceLandmarks:()=>pn,detectFaceLandmarksTiny:()=>ua,detectLandmarks:()=>wa,detectSingleFace:()=>Fa,draw:()=>io,env:()=>P,euclideanDistance:()=>xo,extendWithAge:()=>Mr,extendWithFaceDescriptor:()=>Er,extendWithFaceDetection:()=>jt,extendWithFaceExpressions:()=>vr,extendWithFaceLandmarks:()=>we,extendWithGender:()=>Cr,extractFaceTensors:()=>de,extractFaces:()=>le,fetchImage:()=>An,fetchJson:()=>oo,fetchNetWeights:()=>Wn,fetchOrThrow:()=>xt,fetchVideo:()=>kn,getContext2dOrThrow:()=>O,getMediaDimensions:()=>Xt,imageTensorToCanvas:()=>eo,imageToSquare:()=>ro,inverseSigmoid:()=>En,iou:()=>Hr,isMediaElement:()=>cr,isMediaLoaded:()=>Ae,isWithAge:()=>Jn,isWithFaceDetection:()=>pt,isWithFaceExpressions:()=>so,isWithFaceLandmarks:()=>Zt,isWithGender:()=>qn,loadAgeGenderModel:()=>_a,loadFaceDetectionModel:()=>Ta,loadFaceExpressionModel:()=>ya,loadFaceLandmarkModel:()=>ga,loadFaceLandmarkTinyModel:()=>xa,loadFaceRecognitionModel:()=>va,loadSsdMobilenetv1Model:()=>un,loadTinyFaceDetectorModel:()=>ha,loadTinyYolov2Model:()=>ba,loadWeightMap:()=>no,locateFaces:()=>Pa,matchDimensions:()=>Bn,minBbox:()=>zr,nets:()=>w,nonMaxSuppression:()=>Vr,normalize:()=>rt,padToSquare:()=>Yr,predictAgeAndGender:()=>da,recognizeFaceExpressions:()=>la,resizeResults:()=>ln,resolveInput:()=>Ut,shuffleArray:()=>Dn,sigmoid:()=>Ne,ssdMobilenetv1:()=>mn,tf:()=>Ca,tinyFaceDetector:()=>ma,tinyYolov2:()=>pa,toNetInput:()=>C,utils:()=>Or,validateConfig:()=>lo,version:()=>Ia});module.exports=yn(Na);var Ca=v(x());var io={};Ar(io,{AnchorPosition:()=>Kr,DrawBox:()=>Le,DrawBoxOptions:()=>sr,DrawFaceLandmarks:()=>_r,DrawFaceLandmarksOptions:()=>yr,DrawTextField:()=>gt,DrawTextFieldOptions:()=>fe,drawContour:()=>dt,drawDetections:()=>Ln,drawFaceExpressions:()=>Rn,drawFaceLandmarks:()=>On});function dt(o,t,e=!1){if(o.beginPath(),t.slice(1).forEach(({x:r,y:n},a)=>{let s=t[a];o.moveTo(s.x,s.y),o.lineTo(r,n)}),e){let r=t[t.length-1],n=t[0];if(!r||!n)return;o.moveTo(r.x,r.y),o.lineTo(n.x,n.y)}o.stroke()}var Or={};Ar(Or,{computeReshapedDimensions:()=>$r,getCenterPoint:()=>zt,isDimensions:()=>nr,isEven:()=>or,isFloat:()=>Rr,isTensor:()=>Ot,isTensor1D:()=>Fn,isTensor2D:()=>Br,isTensor3D:()=>ht,isTensor4D:()=>U,isValidNumber:()=>et,isValidProbablitiy:()=>me,range:()=>it,round:()=>Ht});var wo=v(x());var k=class{constructor(t,e){if(!et(t)||!et(e))throw new Error(`Dimensions.constructor - expected width and height to be valid numbers, instead have ${JSON.stringify({width:t,height:e})}`);this._width=t,this._height=e}get width(){return this._width}get height(){return this._height}reverse(){return new k(1/this.width,1/this.height)}};function Ot(o,t){return o instanceof wo.Tensor&&o.shape.length===t}function Fn(o){return Ot(o,1)}function Br(o){return Ot(o,2)}function ht(o){return Ot(o,3)}function U(o){return Ot(o,4)}function Rr(o){return o%1!==0}function or(o){return o%2===0}function Ht(o,t=2){let e=10**t;return Math.floor(o*e)/e}function nr(o){return o&&o.width&&o.height}function $r({width:o,height:t},e){let r=e/Math.max(t,o);return new k(Math.round(o*r),Math.round(t*r))}function zt(o){return o.reduce((t,e)=>t.add(e),new b(0,0)).div(new b(o.length,o.length))}function it(o,t,e){return Array(o).fill(0).map((r,n)=>t+n*e)}function et(o){return!!o&&o!==1/0&&o!==-1/0&&!Number.isNaN(o)||o===0}function me(o){return et(o)&&o>=0&&o<=1}var b=class{constructor(t,e){this._x=t,this._y=e}get x(){return this._x}get y(){return this._y}add(t){return new b(this.x+t.x,this.y+t.y)}sub(t){return new b(this.x-t.x,this.y-t.y)}mul(t){return new b(this.x*t.x,this.y*t.y)}div(t){return new b(this.x/t.x,this.y/t.y)}abs(){return new b(Math.abs(this.x),Math.abs(this.y))}magnitude(){return Math.sqrt(this.x**2+this.y**2)}floor(){return new b(Math.floor(this.x),Math.floor(this.y))}};var F=class{static isRect(t){return!!t&&[t.x,t.y,t.width,t.height].every(et)}static assertIsValidBox(t,e,r=!1){if(!F.isRect(t))throw new Error(`${e} - invalid box: ${JSON.stringify(t)}, expected object with properties x, y, width, height`);if(!r&&(t.width<0||t.height<0))throw new Error(`${e} - width (${t.width}) and height (${t.height}) must be positive numbers`)}constructor(t,e=!0){let r=t||{},n=[r.left,r.top,r.right,r.bottom].every(et),a=[r.x,r.y,r.width,r.height].every(et);if(!a&&!n)throw new Error(`Box.constructor - expected box to be IBoundingBox | IRect, instead have ${JSON.stringify(r)}`);let[s,i,c,m]=a?[r.x,r.y,r.width,r.height]:[r.left,r.top,r.right-r.left,r.bottom-r.top];F.assertIsValidBox({x:s,y:i,width:c,height:m},"Box.constructor",e),this._x=s,this._y=i,this._width=c,this._height=m}get x(){return this._x}get y(){return this._y}get width(){return this._width}get height(){return this._height}get left(){return this.x}get top(){return this.y}get right(){return this.x+this.width}get bottom(){return this.y+this.height}get area(){return this.width*this.height}get topLeft(){return new b(this.left,this.top)}get topRight(){return new b(this.right,this.top)}get bottomLeft(){return new b(this.left,this.bottom)}get bottomRight(){return new b(this.right,this.bottom)}round(){let[t,e,r,n]=[this.x,this.y,this.width,this.height].map(a=>Math.round(a));return new F({x:t,y:e,width:r,height:n})}floor(){let[t,e,r,n]=[this.x,this.y,this.width,this.height].map(a=>Math.floor(a));return new F({x:t,y:e,width:r,height:n})}toSquare(){let{x:t,y:e,width:r,height:n}=this,a=Math.abs(r-n);return re&&(i=-u+e+r,u=e),f>t&&(c=-f+t+n,f=t),m<1&&(c=2-m,m=1),p<1&&(c=2-p,p=1),{dy:s,edy:c,dx:a,edx:i,y:p,ey:f,x:m,ex:u,w:r,h:n}}calibrate(t){return new F({left:this.left+t.left*this.width,top:this.top+t.top*this.height,right:this.right+t.right*this.width,bottom:this.bottom+t.bottom*this.height}).toSquare().round()}};var Vt=class extends F{constructor(t,e,r,n,a=!1){super({left:t,top:e,right:r,bottom:n},a)}};var bt=class{constructor(t,e,r,n,a){this._imageDims=new k(a.width,a.height),this._score=t,this._classScore=e,this._className=r,this._box=new F(n).rescale(this._imageDims)}get score(){return this._score}get classScore(){return this._classScore}get className(){return this._className}get box(){return this._box}get imageDims(){return this._imageDims}get imageWidth(){return this.imageDims.width}get imageHeight(){return this.imageDims.height}get relativeBox(){return new F(this._box).rescale(this.imageDims.reverse())}forSize(t,e){return new bt(this.score,this.classScore,this.className,this.relativeBox,{width:t,height:e})}};var M=class extends bt{constructor(t,e,r){super(t,t,"",e,r)}forSize(t,e){let{score:r,relativeBox:n,imageDims:a}=super.forSize(t,e);return new M(r,n,a)}};function Hr(o,t,e=!0){let r=Math.max(0,Math.min(o.right,t.right)-Math.max(o.left,t.left)),n=Math.max(0,Math.min(o.bottom,t.bottom)-Math.max(o.top,t.top)),a=r*n;return e?a/(o.area+t.area-a):a/Math.min(o.area,t.area)}function zr(o){let t=o.map(i=>i.x),e=o.map(i=>i.y),r=t.reduce((i,c)=>ccii({score:s,boxIndex:i})).sort((s,i)=>s.score-i.score).map(s=>s.boxIndex),a=[];for(;n.length>0;){let s=n.pop();a.push(s);let i=n,c=[];for(let m=0;mc[p]<=e)}return a}var ct=v(x());function rt(o,t){return ct.tidy(()=>{let[e,r,n]=t,a=ct.fill([...o.shape.slice(0,3),1],e,"float32"),s=ct.fill([...o.shape.slice(0,3),1],r,"float32"),i=ct.fill([...o.shape.slice(0,3),1],n,"float32"),c=ct.concat([a,s,i],3);return ct.sub(o,c)})}var Ct=v(x());function Yr(o,t=!1){return Ct.tidy(()=>{let[e,r]=o.shape.slice(1);if(e===r)return o;let n=Math.abs(e-r),a=Math.round(n*(t?.5:1)),s=e>r?2:1,i=f=>{let l=o.shape.slice();return l[s]=f,Ct.fill(l,0,"float32")},c=i(a),m=n-c.shape[s],u=[t&&m?i(m):null,o,c].filter(f=>!!f).map(f=>Ct.cast(f,"float32"));return Ct.concat(u,s)})}function Dn(o){let t=o.slice();for(let e=t.length-1;e>0;e--){let r=Math.floor(Math.random()*(e+1)),n=t[e];t[e]=t[r],t[r]=n}return t}function Ne(o){return 1/(1+Math.exp(-o))}function En(o){return Math.log(o/(1-o))}var Yt=class extends F{constructor(t,e,r,n,a=!1){super({x:t,y:e,width:r,height:n},a)}};var Mn=.5,Cn=.43,In=.45,z=class{constructor(t,e,r=new b(0,0)){let{width:n,height:a}=e;this._imgDims=new k(n,a),this._shift=r,this._positions=t.map(s=>s.mul(new b(n,a)).add(r))}get shift(){return new b(this._shift.x,this._shift.y)}get imageWidth(){return this._imgDims.width}get imageHeight(){return this._imgDims.height}get positions(){return this._positions}get relativePositions(){return this._positions.map(t=>t.sub(this._shift).div(new b(this.imageWidth,this.imageHeight)))}forSize(t,e){return new this.constructor(this.relativePositions,{width:t,height:e})}shiftBy(t,e){return new this.constructor(this.relativePositions,this._imgDims,new b(t,e))}shiftByPoint(t){return this.shiftBy(t.x,t.y)}align(t,e={}){if(t){let a=t instanceof M?t.box.floor():new F(t);return this.shiftBy(a.x,a.y).align(null,e)}let{useDlibAlignment:r,minBoxPadding:n}={useDlibAlignment:!1,minBoxPadding:.2,...e};return r?this.alignDlib():this.alignMinBbox(n)}alignDlib(){let t=this.getRefPointsForAlignment(),[e,r,n]=t,a=u=>n.sub(u).magnitude(),s=(a(e)+a(r))/2,i=Math.floor(s/In),c=zt(t),m=Math.floor(Math.max(0,c.x-Mn*i)),p=Math.floor(Math.max(0,c.y-Cn*i));return new Yt(m,p,Math.min(i,this.imageWidth+m),Math.min(i,this.imageHeight+p))}alignMinBbox(t){let e=zr(this.positions);return e.pad(e.width*t,e.height*t)}getRefPointsForAlignment(){throw new Error("getRefPointsForAlignment not implemented by base class")}};var Gr=class extends z{getRefPointsForAlignment(){let t=this.positions;return[t[0],t[1],zt([t[3],t[4]])]}};var Gt=class extends z{getJawOutline(){return this.positions.slice(0,17)}getLeftEyeBrow(){return this.positions.slice(17,22)}getRightEyeBrow(){return this.positions.slice(22,27)}getNose(){return this.positions.slice(27,36)}getLeftEye(){return this.positions.slice(36,42)}getRightEye(){return this.positions.slice(42,48)}getMouth(){return this.positions.slice(48,68)}getRefPointsForAlignment(){return[this.getLeftEye(),this.getRightEye(),this.getMouth()].map(zt)}};var pe=class{constructor(t,e){this._label=t,this._distance=e}get label(){return this._label}get distance(){return this._distance}toString(t=!0){return`${this.label}${t?` (${Ht(this.distance)})`:""}`}};var ue=class extends F{constructor(e,r){super(e);this._label=r}static assertIsValidLabeledBox(e,r){if(F.assertIsValidBox(e,r),!et(e.label))throw new Error(`${r} - expected property label (${e.label}) to be a number`)}get label(){return this._label}};var mt=class{constructor(t,e){if(typeof t!="string")throw new Error("LabeledFaceDescriptors - constructor expected label to be a string");if(!Array.isArray(e)||e.some(r=>!(r instanceof Float32Array)))throw new Error("LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array");this._label=t,this._descriptors=e}get label(){return this._label}get descriptors(){return this._descriptors}toJSON(){return{label:this.label,descriptors:this.descriptors.map(t=>Array.from(t))}}static fromJSON(t){let e=t.descriptors.map(r=>new Float32Array(r));return new mt(t.label,e)}};var jr=class extends ue{constructor(e,r,n,a){super(e,r);this._score=n,this._classScore=a}static assertIsValidPredictedBox(e,r){if(ue.assertIsValidLabeledBox(e,r),!me(e.score)||!me(e.classScore))throw new Error(`${r} - expected properties score (${e.score}) and (${e.classScore}) to be a number between [0, 1]`)}get score(){return this._score}get classScore(){return this._classScore}};function pt(o){return o.detection instanceof M}function jt(o,t){return{...o,...{detection:t}}}function Ur(){let o=window.fetch;if(!o)throw new Error("fetch - missing fetch implementation for browser environment");return{Canvas:HTMLCanvasElement,CanvasRenderingContext2D,Image:HTMLImageElement,ImageData,Video:HTMLVideoElement,createCanvasElement:()=>document.createElement("canvas"),createImageElement:()=>document.createElement("img"),createVideoElement:()=>document.createElement("video"),fetch:o,readFile:()=>{throw new Error("readFile - filesystem not available for browser environment")}}}function Se(){return typeof global=="object"&&typeof process!="undefined"&&process.versions!=null&&process.versions.node!=null}function ar(o){let t="";if(!o&&Se())try{o=require("fs")}catch(r){t=r.toString()}return{readFile:o?r=>new Promise((n,a)=>{o.readFile(r,(s,i)=>s?a(s):n(i))}):()=>{throw new Error(`readFile - failed to require fs in nodejs environment with error: ${t}`)}}}function Xr(){let o=global.Canvas||global.HTMLCanvasElement,t=global.Image||global.HTMLImageElement,e=global.Video||global.HTMLVideoElement,r=()=>{if(o)return new o;throw new Error("createCanvasElement - missing Canvas implementation for nodejs environment")},n=()=>{if(t)return new t;throw new Error("createImageElement - missing Image implementation for nodejs environment")},a=()=>{if(e)return new e;throw new Error("createVideoElement - missing Video implementation for nodejs environment")},s=global.fetch,i=ar();return{Canvas:o||class{},CanvasRenderingContext2D:global.CanvasRenderingContext2D||class{},Image:t||class{},ImageData:global.ImageData||class{},Video:global.HTMLVideoElement||class{},createCanvasElement:r,createImageElement:n,createVideoElement:a,fetch:s,...i}}function Jr(){return typeof window=="object"&&typeof document!="undefined"&&typeof HTMLImageElement!="undefined"&&typeof HTMLCanvasElement!="undefined"&&typeof HTMLVideoElement!="undefined"&&typeof ImageData!="undefined"&&typeof CanvasRenderingContext2D!="undefined"}var L;function Nn(){if(!L)throw new Error("getEnv - environment is not defined, check isNodejs() and isBrowser()");return L}function qr(o){L=o}function Zr(){return Jr()?qr(Ur()):Se()?qr(Xr()):null}function Sn(o){if(L||Zr(),!L)throw new Error("monkeyPatch - environment is not defined, check isNodejs() and isBrowser()");let{Canvas:t=L.Canvas,Image:e=L.Image}=o;L.Canvas=t,L.Image=e,L.createCanvasElement=o.createCanvasElement||(()=>new t),L.createImageElement=o.createImageElement||(()=>new e),L.ImageData=o.ImageData||L.ImageData,L.Video=o.Video||L.Video,L.fetch=o.fetch||L.fetch,L.readFile=o.readFile||L.readFile}var P={getEnv:Nn,setEnv:qr,initialize:Zr,createBrowserEnv:Ur,createFileSystem:ar,createNodejsEnv:Xr,monkeyPatch:Sn,isBrowser:Jr,isNodejs:Se};Zr();function Ut(o){return!P.isNodejs()&&typeof o=="string"?document.getElementById(o):o}function O(o){let{Canvas:t,CanvasRenderingContext2D:e}=P.getEnv();if(o instanceof e)return o;let r=Ut(o);if(!(r instanceof t))throw new Error("resolveContext2d - expected canvas to be of instance of Canvas");let n=r.getContext("2d");if(!n)throw new Error("resolveContext2d - canvas 2d context is null");return n}var Kr=(n=>(n.TOP_LEFT="TOP_LEFT",n.TOP_RIGHT="TOP_RIGHT",n.BOTTOM_LEFT="BOTTOM_LEFT",n.BOTTOM_RIGHT="BOTTOM_RIGHT",n))(Kr||{}),fe=class{constructor(t={}){let{anchorPosition:e,backgroundColor:r,fontColor:n,fontSize:a,fontStyle:s,padding:i}=t;this.anchorPosition=e||"TOP_LEFT",this.backgroundColor=r||"rgba(0, 0, 0, 0.5)",this.fontColor=n||"rgba(255, 255, 255, 1)",this.fontSize=a||14,this.fontStyle=s||"Georgia",this.padding=i||4}},gt=class{constructor(t,e,r={}){this.text=typeof t=="string"?[t]:t instanceof gt?t.text:t,this.anchor=e,this.options=new fe(r)}measureWidth(t){let{padding:e}=this.options;return this.text.map(r=>t.measureText(r).width).reduce((r,n)=>r{let g=c+u.x,T=c+u.y+(l+1)*s;r.fillText(f,g,T)})}};var sr=class{constructor(t={}){let{boxColor:e,lineWidth:r,label:n,drawLabelOptions:a}=t;this.boxColor=e||"rgba(0, 0, 255, 1)",this.lineWidth=r||2,this.label=n;let s={anchorPosition:"BOTTOM_LEFT",backgroundColor:this.boxColor};this.drawLabelOptions=new fe({...s,...a})}},Le=class{constructor(t,e={}){this.box=new F(t),this.options=new sr(e)}draw(t){let e=O(t),{boxColor:r,lineWidth:n}=this.options,{x:a,y:s,width:i,height:c}=this.box;e.strokeStyle=r,e.lineWidth=n,e.strokeRect(a,s,i,c);let{label:m}=this.options;m&&new gt([m],{x:a-n/2,y:s},this.options.drawLabelOptions).draw(t)}};function Ln(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let n=r instanceof M?r.score:pt(r)?r.detection.score:void 0,a=r instanceof M?r.box:pt(r)?r.detection.box:new F(r),s=n?`${Ht(n)}`:void 0;new Le(a,{label:s}).draw(o)})}var Pe=v(x());function Ae(o){let{Image:t,Video:e}=P.getEnv();return o instanceof t&&o.complete||o instanceof e&&o.readyState>=3}function Qr(o){return new Promise((t,e)=>{(o instanceof P.getEnv().Canvas||Ae(o))&&t(null);function r(a){!a.currentTarget||(a.currentTarget.removeEventListener("load",n),a.currentTarget.removeEventListener("error",r),e(a))}function n(a){!a.currentTarget||(a.currentTarget.removeEventListener("load",n),a.currentTarget.removeEventListener("error",r),t(a))}o.addEventListener("load",n),o.addEventListener("error",r)})}function to(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToImage - expected buf to be of type: Blob"));let r=new FileReader;r.onload=()=>{typeof r.result!="string"&&e(new Error("bufferToImage - expected reader.result to be a string, in onload"));let n=P.getEnv().createImageElement();n.onload=()=>t(n),n.onerror=e,n.src=r.result},r.onerror=e,r.readAsDataURL(o)})}function Xt(o){let{Image:t,Video:e}=P.getEnv();return o instanceof t?new k(o.naturalWidth,o.naturalHeight):o instanceof e?new k(o.videoWidth,o.videoHeight):new k(o.width,o.height)}function Jt({width:o,height:t}){let{createCanvasElement:e}=P.getEnv(),r=e();return r.width=o,r.height=t,r}function We(o,t){let{ImageData:e}=P.getEnv();if(!(o instanceof e)&&!Ae(o))throw new Error("createCanvasFromMedia - media has not finished loading yet");let{width:r,height:n}=t||Xt(o),a=Jt({width:r,height:n});return o instanceof e?O(a).putImageData(o,0,0):O(a).drawImage(o,0,0,r,n),a}var ir=v(x());async function eo(o,t){let e=t||P.getEnv().createCanvasElement(),[r,n,a]=o.shape.slice(U(o)?1:0),s=ir.tidy(()=>o.as3D(r,n,a).toInt());return await ir.browser.toPixels(s,e),s.dispose(),e}function cr(o){let{Image:t,Canvas:e,Video:r}=P.getEnv();return o instanceof t||o instanceof e||o instanceof r}var V=v(x());function ro(o,t,e=!1){let{Image:r,Canvas:n}=P.getEnv();if(!(o instanceof r||o instanceof n))throw new Error("imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement");if(t<=0)return Jt({width:1,height:1});let a=Xt(o),s=t/Math.max(a.height,a.width),i=s*a.width,c=s*a.height,m=Jt({width:t,height:t}),p=o instanceof n?o:We(o),u=Math.abs(i-c)/2,f=e&&i0&&p.height>0&&O(m).drawImage(p,f,l,i,c),m}var ut=class{constructor(t,e=!1){this._imageTensors=[];this._canvases=[];this._treatAsBatchInput=!1;this._inputDimensions=[];this._inputSize=0;if(!Array.isArray(t))throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${t}`);this._treatAsBatchInput=e,this._batchSize=t.length,t.forEach((r,n)=>{if(ht(r)){this._imageTensors[n]=r,this._inputDimensions[n]=r.shape;return}if(U(r)){let s=r.shape[0];if(s!==1)throw new Error(`NetInput - tf.Tensor4D with batchSize ${s} passed, but not supported in input array`);this._imageTensors[n]=r,this._inputDimensions[n]=r.shape.slice(1);return}let a=r instanceof P.getEnv().Canvas?r:We(r);this._canvases[n]=a,this._inputDimensions[n]=[a.height,a.width,3]})}get imageTensors(){return this._imageTensors}get canvases(){return this._canvases}get isBatchInput(){return this.batchSize>1||this._treatAsBatchInput}get batchSize(){return this._batchSize}get inputDimensions(){return this._inputDimensions}get inputSize(){return this._inputSize}get reshapedInputDimensions(){return it(this.batchSize,0,1).map((t,e)=>this.getReshapedInputDimensions(e))}getInput(t){return this.canvases[t]||this.imageTensors[t]}getInputDimensions(t){return this._inputDimensions[t]}getInputHeight(t){return this._inputDimensions[t][0]}getInputWidth(t){return this._inputDimensions[t][1]}getReshapedInputDimensions(t){if(typeof this.inputSize!="number")throw new Error("getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet");let e=this.getInputWidth(t),r=this.getInputHeight(t);return $r({width:e,height:r},this.inputSize)}toBatchTensor(t,e=!0){return this._inputSize=t,V.tidy(()=>{let r=it(this.batchSize,0,1).map(a=>{let s=this.getInput(a);if(s instanceof V.Tensor){let i=U(s)?s:V.expandDims(s);return i=Yr(i,e),(i.shape[1]!==t||i.shape[2]!==t)&&(i=V.image.resizeBilinear(i,[t,t],!1,!1)),i.as3D(t,t,3)}if(s instanceof P.getEnv().Canvas)return V.browser.fromPixels(ro(s,t,e));throw new Error(`toBatchTensor - at batchIdx ${a}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${s}`)});return V.stack(r.map(a=>V.cast(a,"float32"))).as4D(this.batchSize,t,t,3)})}};async function C(o){if(o instanceof ut)return o;let t=Array.isArray(o)?o:[o];if(!t.length)throw new Error("toNetInput - empty array passed as input");let e=n=>Array.isArray(o)?` at input index ${n}:`:"",r=t.map(Ut);return r.forEach((n,a)=>{if(!cr(n)&&!ht(n)&&!U(n))throw typeof t[a]=="string"?new Error(`toNetInput -${e(a)} string passed, but could not resolve HTMLElement for element id ${t[a]}`):new Error(`toNetInput -${e(a)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);if(U(n)){let s=n.shape[0];if(s!==1)throw new Error(`toNetInput -${e(a)} tf.Tensor4D with batchSize ${s} passed, but not supported in input array`)}}),await Promise.all(r.map(n=>cr(n)&&Qr(n))),new ut(r,Array.isArray(o))}async function le(o,t){let{Canvas:e}=P.getEnv(),r=o;if(!(o instanceof e)){let s=await C(o);if(s.batchSize>1)throw new Error("extractFaces - batchSize > 1 not supported");let i=s.getInput(0);r=i instanceof e?i:await eo(i)}let n=O(r);return t.map(s=>s instanceof M?s.forSize(r.width,r.height).box.floor():s).map(s=>s.clipAtImageBorders(r.width,r.height)).map(({x:s,y:i,width:c,height:m})=>{let p=Jt({width:c,height:m});return c>0&&m>0&&O(p).putImageData(n.getImageData(s,i,c,m),0,0),p})}var mr=v(x());async function de(o,t){if(!ht(o)&&!U(o))throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");if(U(o)&&o.shape[0]>1)throw new Error("extractFaceTensors - batchSize > 1 not supported");return mr.tidy(()=>{let[e,r,n]=o.shape.slice(U(o)?1:0);return t.map(i=>i instanceof M?i.forSize(r,e).box:i).map(i=>i.clipAtImageBorders(r,e)).filter(i=>i.width>0&&i.height>0).map(({x:i,y:c,width:m,height:p})=>mr.slice3d(o.as3D(e,r,n),[c,i,0],[p,m,n]))})}async function xt(o,t){let{fetch:e}=P.getEnv(),r=await e(o,t);if(!(r.status<400))throw new Error(`failed to fetch: (${r.status}) ${r.statusText}, from url: ${r.url}`);return r}async function An(o){let t=await xt(o),e=await t.blob();if(!e.type.startsWith("image/"))throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${e.type}, for url: ${t.url}`);return to(e)}async function oo(o){return(await xt(o)).json()}async function Wn(o){return new Float32Array(await(await xt(o)).arrayBuffer())}function Fo(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToVideo - expected buf to be of type: Blob"));let r=P.getEnv().createVideoElement();r.oncanplay=()=>t(r),r.onerror=e,r.playsInline=!0,r.muted=!0,r.src=URL.createObjectURL(o),r.play()})}async function kn(o){let t=await xt(o),e=await t.blob();if(!e.type.startsWith("video/"))throw new Error(`fetchVideo - expected blob type to be of type video/*, instead have: ${e.type}, for url: ${t.url}`);return Fo(e)}var Do=v(x());function pr(o,t){let e=`${t}-weights_manifest.json`;if(!o)return{modelBaseUri:"",manifestUri:e};if(o==="/")return{modelBaseUri:"/",manifestUri:`/${e}`};let r=o.startsWith("http://")?"http://":o.startsWith("https://")?"https://":"";o=o.replace(r,"");let n=o.split("/").filter(i=>i),a=o.endsWith(".json")?n[n.length-1]:e,s=r+(o.endsWith(".json")?n.slice(0,n.length-1):n).join("/");return s=o.startsWith("/")?`/${s}`:s,{modelBaseUri:s,manifestUri:s==="/"?`/${a}`:`${s}/${a}`}}async function no(o,t){let{manifestUri:e,modelBaseUri:r}=pr(o,t),n=await oo(e);return Do.io.loadWeights(n,r)}function Bn(o,t,e=!1){let{width:r,height:n}=e?Xt(t):t;return o.width=r,o.height=n,{width:r,height:n}}var ye=v(x());var vt=v(x());var A=class{constructor(t){this._params=void 0;this._paramMappings=[];this._name=t}get params(){return this._params}get paramMappings(){return this._paramMappings}get isLoaded(){return!!this.params}getParamFromPath(t){let{obj:e,objProp:r}=this.traversePropertyPath(t);return e[r]}reassignParamFromPath(t,e){let{obj:r,objProp:n}=this.traversePropertyPath(t);r[n].dispose(),r[n]=e}getParamList(){return this._paramMappings.map(({paramPath:t})=>({path:t,tensor:this.getParamFromPath(t)}))}getTrainableParams(){return this.getParamList().filter(t=>t.tensor instanceof vt.Variable)}getFrozenParams(){return this.getParamList().filter(t=>!(t.tensor instanceof vt.Variable))}variable(){this.getFrozenParams().forEach(({path:t,tensor:e})=>{this.reassignParamFromPath(t,e.variable())})}freeze(){this.getTrainableParams().forEach(({path:t,tensor:e})=>{let r=vt.tensor(e.dataSync());e.dispose(),this.reassignParamFromPath(t,r)})}dispose(t=!0){this.getParamList().forEach(e=>{if(t&&e.tensor.isDisposed)throw new Error(`param tensor has already been disposed for path ${e.path}`);e.tensor.dispose()}),this._params=void 0}serializeParams(){return new Float32Array(this.getParamList().map(({tensor:t})=>Array.from(t.dataSync())).reduce((t,e)=>t.concat(e)))}async load(t){if(t instanceof Float32Array){this.extractWeights(t);return}await this.loadFromUri(t)}async loadFromUri(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromUri - expected model uri`);let e=await no(t,this.getDefaultModelName());this.loadFromWeightMap(e)}async loadFromDisk(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromDisk - expected model file path`);let{readFile:e}=P.getEnv(),{manifestUri:r,modelBaseUri:n}=pr(t,this.getDefaultModelName()),a=m=>Promise.all(m.map(p=>e(p).then(u=>u.buffer))),s=vt.io.weightsLoaderFactory(a),i=JSON.parse((await e(r)).toString()),c=await s(i,n);this.loadFromWeightMap(c)}loadFromWeightMap(t){let{paramMappings:e,params:r}=this.extractParamsFromWeightMap(t);this._paramMappings=e,this._params=r}extractWeights(t){let{paramMappings:e,params:r}=this.extractParams(t);this._paramMappings=e,this._params=r}traversePropertyPath(t){if(!this.params)throw new Error("traversePropertyPath - model has no loaded params");let e=t.split("/").reduce((a,s)=>{if(!a.nextObj.hasOwnProperty(s))throw new Error(`traversePropertyPath - object does not have property ${s}, for path ${t}`);return{obj:a.nextObj,objProp:s,nextObj:a.nextObj[s]}},{nextObj:this.params}),{obj:r,objProp:n}=e;if(!r||!n||!(r[n]instanceof vt.Tensor))throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${t}`);return{obj:r,objProp:n}}};var I=v(x());var he=v(x());function H(o,t,e){return he.tidy(()=>{let r=he.separableConv2d(o,t.depthwise_filter,t.pointwise_filter,e,"same");return r=he.add(r,t.bias),r})}function ur(o,t,e=!1){return I.tidy(()=>{let r=I.relu(e?I.add(I.conv2d(o,t.conv0.filters,[2,2],"same"),t.conv0.bias):H(o,t.conv0,[2,2])),n=H(r,t.conv1,[1,1]),a=I.relu(I.add(r,n)),s=H(a,t.conv2,[1,1]);return I.relu(I.add(r,I.add(n,s)))})}function ke(o,t,e=!1,r=!0){return I.tidy(()=>{let n=I.relu(e?I.add(I.conv2d(o,t.conv0.filters,r?[2,2]:[1,1],"same"),t.conv0.bias):H(o,t.conv0,r?[2,2]:[1,1])),a=H(n,t.conv1,[1,1]),s=I.relu(I.add(n,a)),i=H(s,t.conv2,[1,1]),c=I.relu(I.add(n,I.add(a,i))),m=H(c,t.conv3,[1,1]);return I.relu(I.add(n,I.add(a,I.add(i,m))))})}var It=v(x());function qt(o,t,e="same",r=!1){return It.tidy(()=>{let n=It.add(It.conv2d(o,t.filters,[1,1],e),t.bias);return r?It.relu(n):n})}function B(o,t){Object.keys(o).forEach(e=>{t.some(r=>r.originalPath===e)||o[e].dispose()})}var fr=v(x());function be(o,t){return(e,r,n,a)=>{let s=fr.tensor4d(o(e*r*n*n),[n,n,e,r]),i=fr.tensor1d(o(r));return t.push({paramPath:`${a}/filters`},{paramPath:`${a}/bias`}),{filters:s,bias:i}}}var lr=v(x());function dr(o,t){return(e,r,n)=>{let a=lr.tensor2d(o(e*r),[e,r]),s=lr.tensor1d(o(r));return t.push({paramPath:`${n}/weights`},{paramPath:`${n}/bias`}),{weights:a,bias:s}}}var Re=v(x());var Be=class{constructor(t,e,r){this.depthwise_filter=t;this.pointwise_filter=e;this.bias=r}};function ge(o,t){return(e,r,n)=>{let a=Re.tensor4d(o(9*e),[3,3,e,1]),s=Re.tensor4d(o(e*r),[1,1,e,r]),i=Re.tensor1d(o(r));return t.push({paramPath:`${n}/depthwise_filter`},{paramPath:`${n}/pointwise_filter`},{paramPath:`${n}/bias`}),new Be(a,s,i)}}function xe(o){return t=>{let e=o(`${t}/depthwise_filter`,4),r=o(`${t}/pointwise_filter`,4),n=o(`${t}/bias`,1);return new Be(e,r,n)}}function Y(o,t){return(e,r,n)=>{let a=o[e];if(!Ot(a,r))throw new Error(`expected weightMap[${e}] to be a Tensor${r}D, instead have ${a}`);return t.push({originalPath:e,paramPath:n||e}),a}}function R(o){let t=o;function e(n){let a=t.slice(0,n);return t=t.slice(n),a}function r(){return t}return{extractWeights:e,getRemainingWeights:r}}function hr(o,t){let e=be(o,t),r=ge(o,t);function n(s,i,c,m=!1){let p=m?e(s,i,3,`${c}/conv0`):r(s,i,`${c}/conv0`),u=r(i,i,`${c}/conv1`),f=r(i,i,`${c}/conv2`);return{conv0:p,conv1:u,conv2:f}}function a(s,i,c,m=!1){let{conv0:p,conv1:u,conv2:f}=n(s,i,c,m),l=r(i,i,`${c}/conv3`);return{conv0:p,conv1:u,conv2:f,conv3:l}}return{extractDenseBlock3Params:n,extractDenseBlock4Params:a}}function Eo(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractDenseBlock4Params:n}=hr(e,t),a=n(3,32,"dense0",!0),s=n(32,64,"dense1"),i=n(64,128,"dense2"),c=n(128,256,"dense3");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:a,dense1:s,dense2:i,dense3:c}}}function br(o){return t=>{let e=o(`${t}/filters`,4),r=o(`${t}/bias`,1);return{filters:e,bias:r}}}function gr(o,t){let e=Y(o,t),r=br(e),n=xe(e);function a(i,c=!1){let m=c?r(`${i}/conv0`):n(`${i}/conv0`),p=n(`${i}/conv1`),u=n(`${i}/conv2`);return{conv0:m,conv1:p,conv2:u}}function s(i,c=!1){let m=c?r(`${i}/conv0`):n(`${i}/conv0`),p=n(`${i}/conv1`),u=n(`${i}/conv2`),f=n(`${i}/conv3`);return{conv0:m,conv1:p,conv2:u,conv3:f}}return{extractDenseBlock3Params:a,extractDenseBlock4Params:s}}function Mo(o){let t=[],{extractDenseBlock4Params:e}=gr(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2"),dense3:e("dense3")};return B(o,t),{params:r,paramMappings:t}}var ve=class extends A{constructor(){super("FaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceFeatureExtractor - load model before inference");return ye.tidy(()=>{let r=ye.cast(t.toBatchTensor(112,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=ke(a,e.dense0,!0);return s=ke(s,e.dense1),s=ke(s,e.dense2),s=ke(s,e.dense3),s=ye.avgPool(s,[7,7],[2,2],"valid"),s})}async forward(t){return this.forwardInput(await C(t))}getDefaultModelName(){return"face_feature_extractor_model"}extractParamsFromWeightMap(t){return Mo(t)}extractParams(t){return Eo(t)}};var No=v(x());var _e=v(x());function $e(o,t){return _e.tidy(()=>_e.add(_e.matMul(o,t.weights),t.bias))}function Co(o,t,e){let r=[],{extractWeights:n,getRemainingWeights:a}=R(o),i=dr(n,r)(t,e,"fc");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:r,params:{fc:i}}}function Io(o){let t=[],e=Y(o,t);function r(a){let s=e(`${a}/weights`,2),i=e(`${a}/bias`,1);return{weights:s,bias:i}}let n={fc:r("fc")};return B(o,t),{params:n,paramMappings:t}}function xr(o){let t={},e={};return Object.keys(o).forEach(r=>{let n=r.startsWith("fc")?e:t;n[r]=o[r]}),{featureExtractorMap:t,classifierMap:e}}var Te=class extends A{constructor(e,r){super(e);this._faceFeatureExtractor=r}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return No.tidy(()=>{let n=e instanceof ut?this.faceFeatureExtractor.forwardInput(e):e;return $e(n.as2D(n.shape[0],-1),r.fc)})}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:n}=this.extractClassifierParams(e);this._params=r,this._paramMappings=n}extractClassifierParams(e){return Co(e,this.getClassifierChannelsIn(),this.getClassifierChannelsOut())}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:n}=xr(e);return this.faceFeatureExtractor.loadFromWeightMap(r),Io(n)}extractParams(e){let r=this.getClassifierChannelsIn(),n=this.getClassifierChannelsOut(),a=n*r+n,s=e.slice(0,e.length-a),i=e.slice(e.length-a);return this.faceFeatureExtractor.extractWeights(s),this.extractClassifierParams(i)}};var ao=["neutral","happy","sad","angry","fearful","disgusted","surprised"],yt=class{constructor(t){this.neutral=0;this.happy=0;this.sad=0;this.angry=0;this.fearful=0;this.disgusted=0;this.surprised=0;if(t.length!==7)throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${t.length}`);ao.forEach((e,r)=>{this[e]=t[r]})}asSortedArray(){return ao.map(t=>({expression:t,probability:this[t]})).sort((t,e)=>e.probability-t.probability)}};var Oe=class extends Te{constructor(t=new ve){super("FaceExpressionNet",t)}forwardInput(t){return Pe.tidy(()=>Pe.softmax(this.runNet(t)))}async forward(t){return this.forwardInput(await C(t))}async predictExpressions(t){let e=await C(t),r=await this.forwardInput(e),n=await Promise.all(Pe.unstack(r).map(async s=>{let i=s.dataSync();return s.dispose(),i}));r.dispose();let a=n.map(s=>new yt(s));return e.isBatchInput?a:a[0]}getDefaultModelName(){return"face_expression_model"}getClassifierChannelsIn(){return 256}getClassifierChannelsOut(){return 7}};function so(o){return o.expressions instanceof yt}function vr(o,t){return{...o,...{expressions:t}}}function Rn(o,t,e=.1,r){(Array.isArray(t)?t:[t]).forEach(a=>{let s=a instanceof yt?a:so(a)?a.expressions:void 0;if(!s)throw new Error("drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof");let c=s.asSortedArray().filter(u=>u.probability>e),m=pt(a)?a.detection.box.bottomLeft:r||new b(0,0);new gt(c.map(u=>`${u.expression} (${Ht(u.probability)})`),m).draw(o)})}function Zt(o){return pt(o)&&o.landmarks instanceof z&&o.unshiftedLandmarks instanceof z&&o.alignedRect instanceof M}function $n(o){let t=(i,c,m,p)=>Math.atan2(p-c,m-i)%Math.PI,e=i=>i*180/Math.PI,r={roll:void 0,pitch:void 0,yaw:void 0};if(!o||!o._positions||o._positions.length!==68)return r;let n=o._positions;r.roll=-t(n[36]._x,n[36]._y,n[45]._x,n[45]._y),r.pitch=t(0,Math.abs(n[0]._x-n[30]._x)/n[30]._x,Math.PI,Math.abs(n[16]._x-n[30]._x)/n[30]._x);let a=n.reduce((i,c)=>ii>c._y?i:c._y,-1/0);return r.yaw=Math.PI*(o._imgDims._height/(s-a)/1.4-1),r}function we(o,t){let{box:e}=o.detection,r=t.shiftBy(e.x,e.y),n=r.align(),{imageDims:a}=o.detection,s=new M(o.detection.score,n.rescale(a.reverse()),a),i=$n(t);return{...o,...{landmarks:r,unshiftedLandmarks:t,alignedRect:s,angle:i}}}var yr=class{constructor(t={}){let{drawLines:e=!0,drawPoints:r=!0,lineWidth:n,lineColor:a,pointSize:s,pointColor:i}=t;this.drawLines=e,this.drawPoints=r,this.lineWidth=n||1,this.pointSize=s||2,this.lineColor=a||"rgba(0, 255, 255, 1)",this.pointColor=i||"rgba(255, 0, 255, 1)"}},_r=class{constructor(t,e={}){this.faceLandmarks=t,this.options=new yr(e)}draw(t){let e=O(t),{drawLines:r,drawPoints:n,lineWidth:a,lineColor:s,pointSize:i,pointColor:c}=this.options;if(r&&this.faceLandmarks instanceof Gt&&(e.strokeStyle=s,e.lineWidth=a,dt(e,this.faceLandmarks.getJawOutline()),dt(e,this.faceLandmarks.getLeftEyeBrow()),dt(e,this.faceLandmarks.getRightEyeBrow()),dt(e,this.faceLandmarks.getNose()),dt(e,this.faceLandmarks.getLeftEye(),!0),dt(e,this.faceLandmarks.getRightEye(),!0),dt(e,this.faceLandmarks.getMouth(),!0)),n){e.strokeStyle=c,e.fillStyle=c;let m=p=>{e.beginPath(),e.arc(p.x,p.y,i,0,2*Math.PI),e.fill()};this.faceLandmarks.positions.forEach(m)}}};function On(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let n=r instanceof z?r:Zt(r)?r.landmarks:void 0;if(!n)throw new Error("drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks> or array thereof");new _r(n).draw(o)})}var So="1.7.5";var ft=v(x());var S=v(x());function Vn(o,t){let e=be(o,t),r=ge(o,t);function n(s,i,c){let m=r(s,i,`${c}/separable_conv0`),p=r(i,i,`${c}/separable_conv1`),u=e(s,i,1,`${c}/expansion_conv`);return{separable_conv0:m,separable_conv1:p,expansion_conv:u}}function a(s,i){let c=r(s,s,`${i}/separable_conv0`),m=r(s,s,`${i}/separable_conv1`),p=r(s,s,`${i}/separable_conv2`);return{separable_conv0:c,separable_conv1:m,separable_conv2:p}}return{extractConvParams:e,extractSeparableConvParams:r,extractReductionBlockParams:n,extractMainBlockParams:a}}function Lo(o,t){let e=[],{extractWeights:r,getRemainingWeights:n}=R(o),{extractConvParams:a,extractSeparableConvParams:s,extractReductionBlockParams:i,extractMainBlockParams:c}=Vn(r,e),m=a(3,32,3,"entry_flow/conv_in"),p=i(32,64,"entry_flow/reduction_block_0"),u=i(64,128,"entry_flow/reduction_block_1"),f={conv_in:m,reduction_block_0:p,reduction_block_1:u},l={};it(t,0,1).forEach(h=>{l[`main_block_${h}`]=c(128,`middle_flow/main_block_${h}`)});let g=i(128,256,"exit_flow/reduction_block"),T=s(256,512,"exit_flow/separable_conv"),D={reduction_block:g,separable_conv:T};if(n().length!==0)throw new Error(`weights remaing after extract: ${n().length}`);return{paramMappings:e,params:{entry_flow:f,middle_flow:l,exit_flow:D}}}function Yn(o,t){let e=Y(o,t),r=br(e),n=xe(e);function a(i){let c=n(`${i}/separable_conv0`),m=n(`${i}/separable_conv1`),p=r(`${i}/expansion_conv`);return{separable_conv0:c,separable_conv1:m,expansion_conv:p}}function s(i){let c=n(`${i}/separable_conv0`),m=n(`${i}/separable_conv1`),p=n(`${i}/separable_conv2`);return{separable_conv0:c,separable_conv1:m,separable_conv2:p}}return{extractConvParams:r,extractSeparableConvParams:n,extractReductionBlockParams:a,extractMainBlockParams:s}}function Ao(o,t){let e=[],{extractConvParams:r,extractSeparableConvParams:n,extractReductionBlockParams:a,extractMainBlockParams:s}=Yn(o,e),i=r("entry_flow/conv_in"),c=a("entry_flow/reduction_block_0"),m=a("entry_flow/reduction_block_1"),p={conv_in:i,reduction_block_0:c,reduction_block_1:m},u={};it(t,0,1).forEach(T=>{u[`main_block_${T}`]=s(`middle_flow/main_block_${T}`)});let f=a("exit_flow/reduction_block"),l=n("exit_flow/separable_conv"),g={reduction_block:f,separable_conv:l};return B(o,e),{params:{entry_flow:p,middle_flow:u,exit_flow:g},paramMappings:e}}function Wo(o,t,e){return S.add(S.conv2d(o,t.filters,e,"same"),t.bias)}function co(o,t,e=!0){let r=e?S.relu(o):o;return r=H(r,t.separable_conv0,[1,1]),r=H(S.relu(r),t.separable_conv1,[1,1]),r=S.maxPool(r,[3,3],[2,2],"same"),r=S.add(r,Wo(o,t.expansion_conv,[2,2])),r}function Gn(o,t){let e=H(S.relu(o),t.separable_conv0,[1,1]);return e=H(S.relu(e),t.separable_conv1,[1,1]),e=H(S.relu(e),t.separable_conv2,[1,1]),e=S.add(e,o),e}var Tr=class extends A{constructor(e){super("TinyXception");this._numMainBlocks=e}forwardInput(e){let{params:r}=this;if(!r)throw new Error("TinyXception - load model before inference");return S.tidy(()=>{let n=S.cast(e.toBatchTensor(112,!0),"float32"),s=rt(n,[122.782,117.001,104.298]).div(255),i=S.relu(Wo(s,r.entry_flow.conv_in,[2,2]));return i=co(i,r.entry_flow.reduction_block_0,!1),i=co(i,r.entry_flow.reduction_block_1),it(this._numMainBlocks,0,1).forEach(c=>{i=Gn(i,r.middle_flow[`main_block_${c}`])}),i=co(i,r.exit_flow.reduction_block),i=S.relu(H(i,r.exit_flow.separable_conv,[1,1])),i})}async forward(e){return this.forwardInput(await C(e))}getDefaultModelName(){return"tiny_xception_model"}extractParamsFromWeightMap(e){return Ao(e,this._numMainBlocks)}extractParams(e){return Lo(e,this._numMainBlocks)}};function ko(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),n=dr(e,t),a=n(512,1,"fc/age"),s=n(512,2,"fc/gender");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{fc:{age:a,gender:s}}}}function Bo(o){let t=[],e=Y(o,t);function r(a){let s=e(`${a}/weights`,2),i=e(`${a}/bias`,1);return{weights:s,bias:i}}let n={fc:{age:r("fc/age"),gender:r("fc/gender")}};return B(o,t),{params:n,paramMappings:t}}var Pr=(e=>(e.FEMALE="female",e.MALE="male",e))(Pr||{});var He=class extends A{constructor(e=new Tr(2)){super("AgeGenderNet");this._faceFeatureExtractor=e}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return ft.tidy(()=>{let n=e instanceof ut?this.faceFeatureExtractor.forwardInput(e):e,a=ft.avgPool(n,[7,7],[2,2],"valid").as2D(n.shape[0],-1),s=$e(a,r.fc.age).as1D(),i=$e(a,r.fc.gender);return{age:s,gender:i}})}forwardInput(e){return ft.tidy(()=>{let{age:r,gender:n}=this.runNet(e);return{age:r,gender:ft.softmax(n)}})}async forward(e){return this.forwardInput(await C(e))}async predictAgeAndGender(e){let r=await C(e),n=await this.forwardInput(r),a=ft.unstack(n.age),s=ft.unstack(n.gender),i=a.map((m,p)=>({ageTensor:m,genderTensor:s[p]})),c=await Promise.all(i.map(async({ageTensor:m,genderTensor:p})=>{let u=m.dataSync()[0],f=p.dataSync()[0],l=f>.5,g=l?"male":"female",T=l?f:1-f;return m.dispose(),p.dispose(),{age:u,gender:g,genderProbability:T}}));return n.age.dispose(),n.gender.dispose(),r.isBatchInput?c:c[0]}getDefaultModelName(){return"age_gender_model"}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:n}=this.extractClassifierParams(e);this._params=r,this._paramMappings=n}extractClassifierParams(e){return ko(e)}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:n}=xr(e);return this.faceFeatureExtractor.loadFromWeightMap(r),Bo(n)}extractParams(e){let n=e.slice(0,e.length-1539),a=e.slice(e.length-1539);return this.faceFeatureExtractor.extractWeights(n),this.extractClassifierParams(a)}};var G=v(x());var Fe=class extends Te{postProcess(t,e,r){let n=r.map(({width:s,height:i})=>{let c=e/Math.max(i,s);return{width:s*c,height:i*c}}),a=n.length;return G.tidy(()=>{let s=(u,f)=>G.stack([G.fill([68],u,"float32"),G.fill([68],f,"float32")],1).as2D(1,136).as1D(),i=(u,f)=>{let{width:l,height:g}=n[u];return f(l,g)?Math.abs(l-g)/2:0},c=u=>i(u,(f,l)=>fi(u,(f,l)=>ls(c(f),m(f))))).div(G.stack(Array.from(Array(a),(u,f)=>s(n[f].width,n[f].height))))})}forwardInput(t){return G.tidy(()=>{let e=this.runNet(t);return this.postProcess(e,t.inputSize,t.inputDimensions.map(([r,n])=>({height:r,width:n})))})}async forward(t){return this.forwardInput(await C(t))}async detectLandmarks(t){let e=await C(t),r=G.tidy(()=>G.unstack(this.forwardInput(e))),n=await Promise.all(r.map(async(a,s)=>{let i=Array.from(a.dataSync()),c=i.filter((p,u)=>or(u)),m=i.filter((p,u)=>!or(u));return new Gt(Array(68).fill(0).map((p,u)=>new b(c[u],m[u])),{height:e.getInputHeight(s),width:e.getInputWidth(s)})}));return r.forEach(a=>a.dispose()),e.isBatchInput?n:n[0]}getClassifierChannelsOut(){return 136}};var Kt=class extends Fe{constructor(t=new ve){super("FaceLandmark68Net",t)}getDefaultModelName(){return"face_landmark_68_model"}getClassifierChannelsIn(){return 256}};var De=v(x());function Ro(o){let t=[],{extractDenseBlock3Params:e}=gr(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2")};return B(o,t),{params:r,paramMappings:t}}function $o(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractDenseBlock3Params:n}=hr(e,t),a=n(3,32,"dense0",!0),s=n(32,64,"dense1"),i=n(64,128,"dense2");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:a,dense1:s,dense2:i}}}var wr=class extends A{constructor(){super("TinyFaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("TinyFaceFeatureExtractor - load model before inference");return De.tidy(()=>{let r=De.cast(t.toBatchTensor(112,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=ur(a,e.dense0,!0);return s=ur(s,e.dense1),s=ur(s,e.dense2),s=De.avgPool(s,[14,14],[2,2],"valid"),s})}async forward(t){return this.forwardInput(await C(t))}getDefaultModelName(){return"face_feature_extractor_tiny_model"}extractParamsFromWeightMap(t){return Ro(t)}extractParams(t){return $o(t)}};var ze=class extends Fe{constructor(t=new wr){super("FaceLandmark68TinyNet",t)}getDefaultModelName(){return"face_landmark_68_tiny_model"}getClassifierChannelsIn(){return 128}};var mo=class extends Kt{};var nt=v(x());var Ee=v(x());var Fr=v(x());function Oo(o,t){return Fr.add(Fr.mul(o,t.weights),t.biases)}function po(o,t,e,r,n="same"){let{filters:a,bias:s}=t.conv,i=Ee.conv2d(o,a,e,n);return i=Ee.add(i,s),i=Oo(i,t.scale),r?Ee.relu(i):i}function Ho(o,t){return po(o,t,[1,1],!0)}function uo(o,t){return po(o,t,[1,1],!1)}function Dr(o,t){return po(o,t,[2,2],!0,"valid")}var j=v(x());function jn(o,t){function e(i,c,m){let p=o(i),u=p.length/(c*m*m);if(Rr(u))throw new Error(`depth has to be an integer: ${u}, weights.length: ${p.length}, numFilters: ${c}, filterSize: ${m}`);return j.tidy(()=>j.transpose(j.tensor4d(p,[c,u,m,m]),[2,3,1,0]))}function r(i,c,m,p){let u=e(i,c,m),f=j.tensor1d(o(c));return t.push({paramPath:`${p}/filters`},{paramPath:`${p}/bias`}),{filters:u,bias:f}}function n(i,c){let m=j.tensor1d(o(i)),p=j.tensor1d(o(i));return t.push({paramPath:`${c}/weights`},{paramPath:`${c}/biases`}),{weights:m,biases:p}}function a(i,c,m,p){let u=r(i,c,m,`${p}/conv`),f=n(c,`${p}/scale`);return{conv:u,scale:f}}function s(i,c,m,p,u=!1){let f=a((u?.5:1)*i,c,m,`${p}/conv1`),l=a(i,c,m,`${p}/conv2`);return{conv1:f,conv2:l}}return{extractConvLayerParams:a,extractResidualLayerParams:s}}function zo(o){let{extractWeights:t,getRemainingWeights:e}=R(o),r=[],{extractConvLayerParams:n,extractResidualLayerParams:a}=jn(t,r),s=n(4704,32,7,"conv32_down"),i=a(9216,32,3,"conv32_1"),c=a(9216,32,3,"conv32_2"),m=a(9216,32,3,"conv32_3"),p=a(36864,64,3,"conv64_down",!0),u=a(36864,64,3,"conv64_1"),f=a(36864,64,3,"conv64_2"),l=a(36864,64,3,"conv64_3"),g=a(147456,128,3,"conv128_down",!0),T=a(147456,128,3,"conv128_1"),D=a(147456,128,3,"conv128_2"),h=a(589824,256,3,"conv256_down",!0),_=a(589824,256,3,"conv256_1"),y=a(589824,256,3,"conv256_2"),E=a(589824,256,3,"conv256_down_out"),W=j.tidy(()=>j.transpose(j.tensor2d(t(256*128),[128,256]),[1,0]));if(r.push({paramPath:"fc"}),e().length!==0)throw new Error(`weights remaing after extract: ${e().length}`);return{params:{conv32_down:s,conv32_1:i,conv32_2:c,conv32_3:m,conv64_down:p,conv64_1:u,conv64_2:f,conv64_3:l,conv128_down:g,conv128_1:T,conv128_2:D,conv256_down:h,conv256_1:_,conv256_2:y,conv256_down_out:E,fc:W},paramMappings:r}}function Un(o,t){let e=Y(o,t);function r(s){let i=e(`${s}/scale/weights`,1),c=e(`${s}/scale/biases`,1);return{weights:i,biases:c}}function n(s){let i=e(`${s}/conv/filters`,4),c=e(`${s}/conv/bias`,1),m=r(s);return{conv:{filters:i,bias:c},scale:m}}function a(s){return{conv1:n(`${s}/conv1`),conv2:n(`${s}/conv2`)}}return{extractConvLayerParams:n,extractResidualLayerParams:a}}function Vo(o){let t=[],{extractConvLayerParams:e,extractResidualLayerParams:r}=Un(o,t),n=e("conv32_down"),a=r("conv32_1"),s=r("conv32_2"),i=r("conv32_3"),c=r("conv64_down"),m=r("conv64_1"),p=r("conv64_2"),u=r("conv64_3"),f=r("conv128_down"),l=r("conv128_1"),g=r("conv128_2"),T=r("conv256_down"),D=r("conv256_1"),h=r("conv256_2"),_=r("conv256_down_out"),{fc:y}=o;if(t.push({originalPath:"fc",paramPath:"fc"}),!Br(y))throw new Error(`expected weightMap[fc] to be a Tensor2D, instead have ${y}`);let E={conv32_down:n,conv32_1:a,conv32_2:s,conv32_3:i,conv64_down:c,conv64_1:m,conv64_2:p,conv64_3:u,conv128_down:f,conv128_1:l,conv128_2:g,conv256_down:T,conv256_1:D,conv256_2:h,conv256_down_out:_,fc:y};return B(o,t),{params:E,paramMappings:t}}var $=v(x());function ot(o,t){let e=Ho(o,t.conv1);return e=uo(e,t.conv2),e=$.add(e,o),e=$.relu(e),e}function Ve(o,t){let e=Dr(o,t.conv1);e=uo(e,t.conv2);let r=$.avgPool(o,2,2,"valid"),n=$.zeros(r.shape),a=r.shape[3]!==e.shape[3];if(r.shape[1]!==e.shape[1]||r.shape[2]!==e.shape[2]){let i=[...e.shape];i[1]=1;let c=$.zeros(i);e=$.concat([e,c],1);let m=[...e.shape];m[2]=1;let p=$.zeros(m);e=$.concat([e,p],2)}return r=a?$.concat([r,n],3):r,e=$.add(r,e),e=$.relu(e),e}var Qt=class extends A{constructor(){super("FaceRecognitionNet")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceRecognitionNet - load model before inference");return nt.tidy(()=>{let r=nt.cast(t.toBatchTensor(150,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=Dr(a,e.conv32_down);s=nt.maxPool(s,3,2,"valid"),s=ot(s,e.conv32_1),s=ot(s,e.conv32_2),s=ot(s,e.conv32_3),s=Ve(s,e.conv64_down),s=ot(s,e.conv64_1),s=ot(s,e.conv64_2),s=ot(s,e.conv64_3),s=Ve(s,e.conv128_down),s=ot(s,e.conv128_1),s=ot(s,e.conv128_2),s=Ve(s,e.conv256_down),s=ot(s,e.conv256_1),s=ot(s,e.conv256_2),s=Ve(s,e.conv256_down_out);let i=s.mean([1,2]);return nt.matMul(i,e.fc)})}async forward(t){return this.forwardInput(await C(t))}async computeFaceDescriptor(t){var a;if((a=t==null?void 0:t.shape)!=null&&a.some(s=>s<=0))return new Float32Array(128);let e=await C(t),r=nt.tidy(()=>nt.unstack(this.forwardInput(e))),n=await Promise.all(r.map(s=>s.data()));return r.forEach(s=>s.dispose()),e.isBatchInput?n:n[0]}getDefaultModelName(){return"face_recognition_model"}extractParamsFromWeightMap(t){return Vo(t)}extractParams(t){return zo(t)}};function Xn(o){let t=new Qt;return t.extractWeights(o),t}function Er(o,t){return{...o,...{descriptor:t}}}function Jn(o){return typeof o.age=="number"}function Mr(o,t){return{...o,...{age:t}}}function qn(o){return(o.gender==="male"||o.gender==="female")&&me(o.genderProbability)}function Cr(o,t,e){return{...o,...{gender:t,genderProbability:e}}}var Lt=v(x());var at=v(x());function Zn(o,t){function e(c,m){let p=at.tensor4d(o(9*c),[3,3,c,1]),u=at.tensor1d(o(c)),f=at.tensor1d(o(c)),l=at.tensor1d(o(c)),g=at.tensor1d(o(c));return t.push({paramPath:`${m}/filters`},{paramPath:`${m}/batch_norm_scale`},{paramPath:`${m}/batch_norm_offset`},{paramPath:`${m}/batch_norm_mean`},{paramPath:`${m}/batch_norm_variance`}),{filters:p,batch_norm_scale:u,batch_norm_offset:f,batch_norm_mean:l,batch_norm_variance:g}}function r(c,m,p,u,f){let l=at.tensor4d(o(c*m*p*p),[p,p,c,m]),g=at.tensor1d(o(m));return t.push({paramPath:`${u}/filters`},{paramPath:`${u}/${f?"batch_norm_offset":"bias"}`}),{filters:l,bias:g}}function n(c,m,p,u){let{filters:f,bias:l}=r(c,m,p,u,!0);return{filters:f,batch_norm_offset:l}}function a(c,m,p){let u=e(c,`${p}/depthwise_conv`),f=n(c,m,1,`${p}/pointwise_conv`);return{depthwise_conv:u,pointwise_conv:f}}function s(){let c=n(3,32,3,"mobilenetv1/conv_0"),m=a(32,64,"mobilenetv1/conv_1"),p=a(64,128,"mobilenetv1/conv_2"),u=a(128,128,"mobilenetv1/conv_3"),f=a(128,256,"mobilenetv1/conv_4"),l=a(256,256,"mobilenetv1/conv_5"),g=a(256,512,"mobilenetv1/conv_6"),T=a(512,512,"mobilenetv1/conv_7"),D=a(512,512,"mobilenetv1/conv_8"),h=a(512,512,"mobilenetv1/conv_9"),_=a(512,512,"mobilenetv1/conv_10"),y=a(512,512,"mobilenetv1/conv_11"),E=a(512,1024,"mobilenetv1/conv_12"),W=a(1024,1024,"mobilenetv1/conv_13");return{conv_0:c,conv_1:m,conv_2:p,conv_3:u,conv_4:f,conv_5:l,conv_6:g,conv_7:T,conv_8:D,conv_9:h,conv_10:_,conv_11:y,conv_12:E,conv_13:W}}function i(){let c=n(1024,256,1,"prediction_layer/conv_0"),m=n(256,512,3,"prediction_layer/conv_1"),p=n(512,128,1,"prediction_layer/conv_2"),u=n(128,256,3,"prediction_layer/conv_3"),f=n(256,128,1,"prediction_layer/conv_4"),l=n(128,256,3,"prediction_layer/conv_5"),g=n(256,64,1,"prediction_layer/conv_6"),T=n(64,128,3,"prediction_layer/conv_7"),D=r(512,12,1,"prediction_layer/box_predictor_0/box_encoding_predictor"),h=r(512,9,1,"prediction_layer/box_predictor_0/class_predictor"),_=r(1024,24,1,"prediction_layer/box_predictor_1/box_encoding_predictor"),y=r(1024,18,1,"prediction_layer/box_predictor_1/class_predictor"),E=r(512,24,1,"prediction_layer/box_predictor_2/box_encoding_predictor"),W=r(512,18,1,"prediction_layer/box_predictor_2/class_predictor"),tt=r(256,24,1,"prediction_layer/box_predictor_3/box_encoding_predictor"),lt=r(256,18,1,"prediction_layer/box_predictor_3/class_predictor"),q=r(256,24,1,"prediction_layer/box_predictor_4/box_encoding_predictor"),Dt=r(256,18,1,"prediction_layer/box_predictor_4/class_predictor"),Et=r(128,24,1,"prediction_layer/box_predictor_5/box_encoding_predictor"),Mt=r(128,18,1,"prediction_layer/box_predictor_5/class_predictor");return{conv_0:c,conv_1:m,conv_2:p,conv_3:u,conv_4:f,conv_5:l,conv_6:g,conv_7:T,box_predictor_0:{box_encoding_predictor:D,class_predictor:h},box_predictor_1:{box_encoding_predictor:_,class_predictor:y},box_predictor_2:{box_encoding_predictor:E,class_predictor:W},box_predictor_3:{box_encoding_predictor:tt,class_predictor:lt},box_predictor_4:{box_encoding_predictor:q,class_predictor:Dt},box_predictor_5:{box_encoding_predictor:Et,class_predictor:Mt}}}return{extractMobilenetV1Params:s,extractPredictionLayerParams:i}}function Yo(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractMobilenetV1Params:n,extractPredictionLayerParams:a}=Zn(e,t),s=n(),i=a(),m={extra_dim:at.tensor3d(e(5118*4),[1,5118,4])};if(t.push({paramPath:"output_layer/extra_dim"}),r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{params:{mobilenetv1:s,prediction_layer:i,output_layer:m},paramMappings:t}}function Kn(o,t){let e=Y(o,t);function r(m,p,u){let f=e(`${m}/Conv2d_${p}_pointwise/weights`,4,`${u}/filters`),l=e(`${m}/Conv2d_${p}_pointwise/convolution_bn_offset`,1,`${u}/batch_norm_offset`);return{filters:f,batch_norm_offset:l}}function n(m){let p=`mobilenetv1/conv_${m}`,u=`MobilenetV1/Conv2d_${m}_depthwise`,f=`${p}/depthwise_conv`,l=`${p}/pointwise_conv`,g=e(`${u}/depthwise_weights`,4,`${f}/filters`),T=e(`${u}/BatchNorm/gamma`,1,`${f}/batch_norm_scale`),D=e(`${u}/BatchNorm/beta`,1,`${f}/batch_norm_offset`),h=e(`${u}/BatchNorm/moving_mean`,1,`${f}/batch_norm_mean`),_=e(`${u}/BatchNorm/moving_variance`,1,`${f}/batch_norm_variance`);return{depthwise_conv:{filters:g,batch_norm_scale:T,batch_norm_offset:D,batch_norm_mean:h,batch_norm_variance:_},pointwise_conv:r("MobilenetV1",m,l)}}function a(){return{conv_0:r("MobilenetV1",0,"mobilenetv1/conv_0"),conv_1:n(1),conv_2:n(2),conv_3:n(3),conv_4:n(4),conv_5:n(5),conv_6:n(6),conv_7:n(7),conv_8:n(8),conv_9:n(9),conv_10:n(10),conv_11:n(11),conv_12:n(12),conv_13:n(13)}}function s(m,p){let u=e(`${m}/weights`,4,`${p}/filters`),f=e(`${m}/biases`,1,`${p}/bias`);return{filters:u,bias:f}}function i(m){let p=s(`Prediction/BoxPredictor_${m}/BoxEncodingPredictor`,`prediction_layer/box_predictor_${m}/box_encoding_predictor`),u=s(`Prediction/BoxPredictor_${m}/ClassPredictor`,`prediction_layer/box_predictor_${m}/class_predictor`);return{box_encoding_predictor:p,class_predictor:u}}function c(){return{conv_0:r("Prediction",0,"prediction_layer/conv_0"),conv_1:r("Prediction",1,"prediction_layer/conv_1"),conv_2:r("Prediction",2,"prediction_layer/conv_2"),conv_3:r("Prediction",3,"prediction_layer/conv_3"),conv_4:r("Prediction",4,"prediction_layer/conv_4"),conv_5:r("Prediction",5,"prediction_layer/conv_5"),conv_6:r("Prediction",6,"prediction_layer/conv_6"),conv_7:r("Prediction",7,"prediction_layer/conv_7"),box_predictor_0:i(0),box_predictor_1:i(1),box_predictor_2:i(2),box_predictor_3:i(3),box_predictor_4:i(4),box_predictor_5:i(5)}}return{extractMobilenetV1Params:a,extractPredictionLayerParams:c}}function Go(o){let t=[],{extractMobilenetV1Params:e,extractPredictionLayerParams:r}=Kn(o,t),n=o["Output/extra_dim"];if(t.push({originalPath:"Output/extra_dim",paramPath:"output_layer/extra_dim"}),!ht(n))throw new Error(`expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have ${n}`);let a={mobilenetv1:e(),prediction_layer:r(),output_layer:{extra_dim:n}};return B(o,t),{params:a,paramMappings:t}}var _t=v(x());var Nt=v(x());function Z(o,t,e){return Nt.tidy(()=>{let r=Nt.conv2d(o,t.filters,e,"same");return r=Nt.add(r,t.batch_norm_offset),Nt.clipByValue(r,0,6)})}var Qn=.0010000000474974513;function ta(o,t,e){return _t.tidy(()=>{let r=_t.depthwiseConv2d(o,t.filters,e,"same");return r=_t.batchNorm(r,t.batch_norm_mean,t.batch_norm_variance,t.batch_norm_offset,t.batch_norm_scale,Qn),_t.clipByValue(r,0,6)})}function ea(o){return[2,4,6,12].some(t=>t===o)?[2,2]:[1,1]}function jo(o,t){return _t.tidy(()=>{let e,r=Z(o,t.conv_0,[2,2]);if([t.conv_1,t.conv_2,t.conv_3,t.conv_4,t.conv_5,t.conv_6,t.conv_7,t.conv_8,t.conv_9,t.conv_10,t.conv_11,t.conv_12,t.conv_13].forEach((a,s)=>{let i=s+1,c=ea(i);r=ta(r,a.depthwise_conv,c),r=Z(r,a.pointwise_conv,[1,1]),i===11&&(e=r)}),e===null)throw new Error("mobileNetV1 - output of conv layer 11 is null");return{out:r,conv11:e}})}function ra(o,t,e){let r=o.arraySync(),n=Math.min(r[t][0],r[t][2]),a=Math.min(r[t][1],r[t][3]),s=Math.max(r[t][0],r[t][2]),i=Math.max(r[t][1],r[t][3]),c=Math.min(r[e][0],r[e][2]),m=Math.min(r[e][1],r[e][3]),p=Math.max(r[e][0],r[e][2]),u=Math.max(r[e][1],r[e][3]),f=(s-n)*(i-a),l=(p-c)*(u-m);if(f<=0||l<=0)return 0;let g=Math.max(n,c),T=Math.max(a,m),D=Math.min(s,p),h=Math.min(i,u),_=Math.max(D-g,0)*Math.max(h-T,0);return _/(f+l-_)}function Uo(o,t,e,r,n){let a=o.shape[0],s=Math.min(e,a),i=t.map((p,u)=>({score:p,boxIndex:u})).filter(p=>p.score>n).sort((p,u)=>u.score-p.score),c=p=>p<=r?1:0,m=[];return i.forEach(p=>{if(m.length>=s)return;let u=p.score;for(let f=m.length-1;f>=0;--f){let l=ra(o,p.boxIndex,m[f]);if(l!==0&&(p.score*=c(l),p.score<=n))break}u===p.score&&m.push(p.boxIndex)}),m}var d=v(x());function oa(o){let t=d.unstack(d.transpose(o,[1,0])),e=[d.sub(t[2],t[0]),d.sub(t[3],t[1])],r=[d.add(t[0],d.div(e[0],2)),d.add(t[1],d.div(e[1],2))];return{sizes:e,centers:r}}function na(o,t){let{sizes:e,centers:r}=oa(o),n=d.unstack(d.transpose(t,[1,0])),a=d.div(d.mul(d.exp(d.div(n[2],5)),e[0]),2),s=d.add(d.mul(d.div(n[0],10),e[0]),r[0]),i=d.div(d.mul(d.exp(d.div(n[3],5)),e[1]),2),c=d.add(d.mul(d.div(n[1],10),e[1]),r[1]);return d.transpose(d.stack([d.sub(s,a),d.sub(c,i),d.add(s,a),d.add(c,i)]),[1,0])}function Xo(o,t,e){return d.tidy(()=>{let r=o.shape[0],n=na(d.reshape(d.tile(e.extra_dim,[r,1,1]),[-1,4]),d.reshape(o,[-1,4]));n=d.reshape(n,[r,n.shape[0]/r,4]);let a=d.sigmoid(d.slice(t,[0,0,1],[-1,-1,-1])),s=d.slice(a,[0,0,0],[-1,-1,1]);s=d.reshape(s,[r,s.shape[1]]);let i=d.unstack(n),c=d.unstack(s);return{boxes:i,scores:c}})}var Ge=v(x());var Ye=v(x());function te(o,t){return Ye.tidy(()=>{let e=o.shape[0],r=Ye.reshape(qt(o,t.box_encoding_predictor),[e,-1,1,4]),n=Ye.reshape(qt(o,t.class_predictor),[e,-1,3]);return{boxPredictionEncoding:r,classPrediction:n}})}function Jo(o,t,e){return Ge.tidy(()=>{let r=Z(o,e.conv_0,[1,1]),n=Z(r,e.conv_1,[2,2]),a=Z(n,e.conv_2,[1,1]),s=Z(a,e.conv_3,[2,2]),i=Z(s,e.conv_4,[1,1]),c=Z(i,e.conv_5,[2,2]),m=Z(c,e.conv_6,[1,1]),p=Z(m,e.conv_7,[2,2]),u=te(t,e.box_predictor_0),f=te(o,e.box_predictor_1),l=te(n,e.box_predictor_2),g=te(s,e.box_predictor_3),T=te(c,e.box_predictor_4),D=te(p,e.box_predictor_5),h=Ge.concat([u.boxPredictionEncoding,f.boxPredictionEncoding,l.boxPredictionEncoding,g.boxPredictionEncoding,T.boxPredictionEncoding,D.boxPredictionEncoding],1),_=Ge.concat([u.classPrediction,f.classPrediction,l.classPrediction,g.classPrediction,T.classPrediction,D.classPrediction],1);return{boxPredictions:h,classPredictions:_}})}var X=class{constructor({minConfidence:t,maxResults:e}={}){this._name="SsdMobilenetv1Options";if(this._minConfidence=t||.5,this._maxResults=e||100,typeof this._minConfidence!="number"||this._minConfidence<=0||this._minConfidence>=1)throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);if(typeof this._maxResults!="number")throw new Error(`${this._name} - expected maxResults to be a number`)}get minConfidence(){return this._minConfidence}get maxResults(){return this._maxResults}};var St=class extends A{constructor(){super("SsdMobilenetv1")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("SsdMobilenetv1 - load model before inference");return Lt.tidy(()=>{let r=Lt.cast(t.toBatchTensor(512,!1),"float32"),n=Lt.sub(Lt.div(r,127.5),1),a=jo(n,e.mobilenetv1),{boxPredictions:s,classPredictions:i}=Jo(a.out,a.conv11,e.prediction_layer);return Xo(s,i,e.output_layer)})}async forward(t){return this.forwardInput(await C(t))}async locateFaces(t,e={}){let{maxResults:r,minConfidence:n}=new X(e),a=await C(t),{boxes:s,scores:i}=this.forwardInput(a),c=s[0],m=i[0];for(let y=1;y{let[E,W]=[Math.max(0,h[y][0]),Math.min(1,h[y][2])].map(q=>q*D),[tt,lt]=[Math.max(0,h[y][1]),Math.min(1,h[y][3])].map(q=>q*T);return new M(p[y],new Yt(tt,E,lt-tt,W-E),{height:a.getInputHeight(0),width:a.getInputWidth(0)})});return c.dispose(),m.dispose(),_}getDefaultModelName(){return"ssd_mobilenetv1_model"}extractParamsFromWeightMap(t){return Go(t)}extractParams(t){return Yo(t)}};function qo(o){let t=new St;return t.extractWeights(o),t}function aa(o){return qo(o)}var fo=class extends St{};var Zo=.4,Ko=[new b(.738768,.874946),new b(2.42204,2.65704),new b(4.30971,7.04493),new b(10.246,4.59428),new b(12.6868,11.8741)],Qo=[new b(1.603231,2.094468),new b(6.041143,7.080126),new b(2.882459,3.518061),new b(4.266906,5.178857),new b(9.041765,10.66308)],tn=[117.001,114.697,97.404],en="tiny_yolov2_model",rn="tiny_yolov2_separable_conv_model";var N=v(x());var Ir=o=>typeof o=="number";function lo(o){if(!o)throw new Error(`invalid config: ${o}`);if(typeof o.withSeparableConvs!="boolean")throw new Error(`config.withSeparableConvs has to be a boolean, have: ${o.withSeparableConvs}`);if(!Ir(o.iouThreshold)||o.iouThreshold<0||o.iouThreshold>1)throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${o.iouThreshold}`);if(!Array.isArray(o.classes)||!o.classes.length||!o.classes.every(t=>typeof t=="string"))throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(o.classes)}`);if(!Array.isArray(o.anchors)||!o.anchors.length||!o.anchors.map(t=>t||{}).every(t=>Ir(t.x)&&Ir(t.y)))throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(o.anchors)}`);if(o.meanRgb&&(!Array.isArray(o.meanRgb)||o.meanRgb.length!==3||!o.meanRgb.every(Ir)))throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(o.meanRgb)}`)}var Q=v(x());var K=v(x());function Me(o){return K.tidy(()=>{let t=K.mul(o,K.scalar(.10000000149011612));return K.add(K.relu(K.sub(o,t)),t)})}function Tt(o,t){return Q.tidy(()=>{let e=Q.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=Q.conv2d(e,t.conv.filters,[1,1],"valid"),e=Q.sub(e,t.bn.sub),e=Q.mul(e,t.bn.truediv),e=Q.add(e,t.conv.bias),Me(e)})}var At=v(x());function Pt(o,t){return At.tidy(()=>{let e=At.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=At.separableConv2d(e,t.depthwise_filter,t.pointwise_filter,[1,1],"valid"),e=At.add(e,t.bias),Me(e)})}var ho=v(x());function sa(o,t){let e=be(o,t);function r(s,i){let c=ho.tensor1d(o(s)),m=ho.tensor1d(o(s));return t.push({paramPath:`${i}/sub`},{paramPath:`${i}/truediv`}),{sub:c,truediv:m}}function n(s,i,c){let m=e(s,i,3,`${c}/conv`),p=r(i,`${c}/bn`);return{conv:m,bn:p}}let a=ge(o,t);return{extractConvParams:e,extractConvWithBatchNormParams:n,extractSeparableConvParams:a}}function on(o,t,e,r){let{extractWeights:n,getRemainingWeights:a}=R(o),s=[],{extractConvParams:i,extractConvWithBatchNormParams:c,extractSeparableConvParams:m}=sa(n,s),p;if(t.withSeparableConvs){let[u,f,l,g,T,D,h,_,y]=r,E=t.isFirstLayerConv2d?i(u,f,3,"conv0"):m(u,f,"conv0"),W=m(f,l,"conv1"),tt=m(l,g,"conv2"),lt=m(g,T,"conv3"),q=m(T,D,"conv4"),Dt=m(D,h,"conv5"),Et=_?m(h,_,"conv6"):void 0,Mt=y?m(_,y,"conv7"):void 0,$t=i(y||_||h,5*e,1,"conv8");p={conv0:E,conv1:W,conv2:tt,conv3:lt,conv4:q,conv5:Dt,conv6:Et,conv7:Mt,conv8:$t}}else{let[u,f,l,g,T,D,h,_,y]=r,E=c(u,f,"conv0"),W=c(f,l,"conv1"),tt=c(l,g,"conv2"),lt=c(g,T,"conv3"),q=c(T,D,"conv4"),Dt=c(D,h,"conv5"),Et=c(h,_,"conv6"),Mt=c(_,y,"conv7"),$t=i(y,5*e,1,"conv8");p={conv0:E,conv1:W,conv2:tt,conv3:lt,conv4:q,conv5:Dt,conv6:Et,conv7:Mt,conv8:$t}}if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{params:p,paramMappings:s}}function ia(o,t){let e=Y(o,t);function r(i){let c=e(`${i}/sub`,1),m=e(`${i}/truediv`,1);return{sub:c,truediv:m}}function n(i){let c=e(`${i}/filters`,4),m=e(`${i}/bias`,1);return{filters:c,bias:m}}function a(i){let c=n(`${i}/conv`),m=r(`${i}/bn`);return{conv:c,bn:m}}let s=xe(e);return{extractConvParams:n,extractConvWithBatchNormParams:a,extractSeparableConvParams:s}}function nn(o,t){let e=[],{extractConvParams:r,extractConvWithBatchNormParams:n,extractSeparableConvParams:a}=ia(o,e),s;if(t.withSeparableConvs){let i=t.filterSizes&&t.filterSizes.length||9;s={conv0:t.isFirstLayerConv2d?r("conv0"):a("conv0"),conv1:a("conv1"),conv2:a("conv2"),conv3:a("conv3"),conv4:a("conv4"),conv5:a("conv5"),conv6:i>7?a("conv6"):void 0,conv7:i>8?a("conv7"):void 0,conv8:r("conv8")}}else s={conv0:n("conv0"),conv1:n("conv1"),conv2:n("conv2"),conv3:n("conv3"),conv4:n("conv4"),conv5:n("conv5"),conv6:n("conv6"),conv7:n("conv7"),conv8:r("conv8")};return B(o,e),{params:s,paramMappings:e}}var st=class{constructor({inputSize:t,scoreThreshold:e}={}){this._name="TinyYolov2Options";if(this._inputSize=t||416,this._scoreThreshold=e||.5,typeof this._inputSize!="number"||this._inputSize%32!==0)throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);if(typeof this._scoreThreshold!="number"||this._scoreThreshold<=0||this._scoreThreshold>=1)throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`)}get inputSize(){return this._inputSize}get scoreThreshold(){return this._scoreThreshold}};var bo=class extends A{constructor(e){super("TinyYolov2");lo(e),this._config=e}get config(){return this._config}get withClassScores(){return this.config.withClassScores||this.config.classes.length>1}get boxEncodingSize(){return 5+(this.withClassScores?this.config.classes.length:0)}runTinyYolov2(e,r){let n=Tt(e,r.conv0);return n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv1),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv2),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv3),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv4),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv5),n=N.maxPool(n,[2,2],[1,1],"same"),n=Tt(n,r.conv6),n=Tt(n,r.conv7),qt(n,r.conv8,"valid",!1)}runMobilenet(e,r){let n=this.config.isFirstLayerConv2d?Me(qt(e,r.conv0,"valid",!1)):Pt(e,r.conv0);return n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv1),n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv2),n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv3),n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv4),n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv5),n=N.maxPool(n,[2,2],[1,1],"same"),n=r.conv6?Pt(n,r.conv6):n,n=r.conv7?Pt(n,r.conv7):n,qt(n,r.conv8,"valid",!1)}forwardInput(e,r){let{params:n}=this;if(!n)throw new Error("TinyYolov2 - load model before inference");return N.tidy(()=>{let a=N.cast(e.toBatchTensor(r,!1),"float32");return a=this.config.meanRgb?rt(a,this.config.meanRgb):a,a=a.div(255),this.config.withSeparableConvs?this.runMobilenet(a,n):this.runTinyYolov2(a,n)})}async forward(e,r){return this.forwardInput(await C(e),r)}async detect(e,r={}){let{inputSize:n,scoreThreshold:a}=new st(r),s=await C(e),i=await this.forwardInput(s,n),c=N.tidy(()=>N.unstack(i)[0].expandDims()),m={width:s.getInputWidth(0),height:s.getInputHeight(0)},p=await this.extractBoxes(c,s.getReshapedInputDimensions(0),a);i.dispose(),c.dispose();let u=p.map(h=>h.box),f=p.map(h=>h.score),l=p.map(h=>h.classScore),g=p.map(h=>this.config.classes[h.label]);return Vr(u.map(h=>h.rescale(n)),f,this.config.iouThreshold,!0).map(h=>new bt(f[h],l[h],g[h],u[h],m))}getDefaultModelName(){return""}extractParamsFromWeightMap(e){return nn(e,this.config)}extractParams(e){let r=this.config.filterSizes||bo.DEFAULT_FILTER_SIZES,n=r?r.length:void 0;if(n!==7&&n!==8&&n!==9)throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${n} filterSizes in config`);return on(e,this.config,this.boxEncodingSize,r)}async extractBoxes(e,r,n){let{width:a,height:s}=r,i=Math.max(a,s),c=i/a,m=i/s,p=e.shape[1],u=this.config.anchors.length,[f,l,g]=N.tidy(()=>{let _=e.reshape([p,p,u,this.boxEncodingSize]),y=_.slice([0,0,0,0],[p,p,u,4]),E=_.slice([0,0,0,4],[p,p,u,1]),W=this.withClassScores?N.softmax(_.slice([0,0,0,5],[p,p,u,this.config.classes.length]),3):N.scalar(0);return[y,E,W]}),T=[],D=await l.array(),h=await f.array();for(let _=0;_n){let tt=(y+Ne(h[_][y][E][0]))/p*c,lt=(_+Ne(h[_][y][E][1]))/p*m,q=Math.exp(h[_][y][E][2])*this.config.anchors[E].x/p*c,Dt=Math.exp(h[_][y][E][3])*this.config.anchors[E].y/p*m,Et=tt-q/2,Mt=lt-Dt/2,$t={row:_,col:y,anchor:E},{classScore:vo,label:yo}=this.withClassScores?await this.extractPredictedClass(g,$t):{classScore:1,label:0};T.push({box:new Vt(Et,Mt,Et+q,Mt+Dt),score:W,classScore:W*vo,label:yo,...$t})}}return f.dispose(),l.dispose(),g.dispose(),T}async extractPredictedClass(e,r){let{row:n,col:a,anchor:s}=r,i=await e.array();return Array(this.config.classes.length).fill(0).map((c,m)=>i[n][a][s][m]).map((c,m)=>({classScore:c,label:m})).reduce((c,m)=>c.classScore>m.classScore?c:m)}},ee=bo;ee.DEFAULT_FILTER_SIZES=[3,16,32,64,128,256,512,1024,1024];var re=class extends ee{constructor(t=!0){let e={withSeparableConvs:t,iouThreshold:Zo,classes:["face"],...t?{anchors:Qo,meanRgb:tn}:{anchors:Ko,withClassScores:!0}};super(e)}get withSeparableConvs(){return this.config.withSeparableConvs}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(n=>new M(n.score,n.relativeBox,{width:n.imageWidth,height:n.imageHeight}))}getDefaultModelName(){return this.withSeparableConvs?rn:en}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};function ca(o,t=!0){let e=new re(t);return e.extractWeights(o),e}var je=class extends st{constructor(){super(...arguments);this._name="TinyFaceDetectorOptions"}};var J=class{async then(t){return t(await this.run())}async run(){throw new Error("ComposableTask - run is not implemented")}};var Xe=v(x());var go=v(x());async function oe(o,t,e,r,n=({alignedRect:a})=>a){let a=o.map(c=>Zt(c)?n(c):c.detection),s=r||(t instanceof go.Tensor?await de(t,a):await le(t,a)),i=await e(s);return s.forEach(c=>c instanceof go.Tensor&&c.dispose()),i}async function Ce(o,t,e,r,n){return oe([o],t,async a=>e(a[0]),r,n)}var an=.4,sn=[new b(1.603231,2.094468),new b(6.041143,7.080126),new b(2.882459,3.518061),new b(4.266906,5.178857),new b(9.041765,10.66308)],cn=[117.001,114.697,97.404];var ne=class extends ee{constructor(){let t={withSeparableConvs:!0,iouThreshold:an,classes:["face"],anchors:sn,meanRgb:cn,isFirstLayerConv2d:!0,filterSizes:[3,16,32,64,128,256,512]};super(t)}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(n=>new M(n.score,n.relativeBox,{width:n.imageWidth,height:n.imageHeight}))}getDefaultModelName(){return"tiny_face_detector_model"}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};var w={ssdMobilenetv1:new St,tinyFaceDetector:new ne,tinyYolov2:new re,faceLandmark68Net:new Kt,faceLandmark68TinyNet:new ze,faceRecognitionNet:new Qt,faceExpressionNet:new Oe,ageGenderNet:new He},mn=(o,t)=>w.ssdMobilenetv1.locateFaces(o,t),ma=(o,t)=>w.tinyFaceDetector.locateFaces(o,t),pa=(o,t)=>w.tinyYolov2.locateFaces(o,t),pn=o=>w.faceLandmark68Net.detectLandmarks(o),ua=o=>w.faceLandmark68TinyNet.detectLandmarks(o),fa=o=>w.faceRecognitionNet.computeFaceDescriptor(o),la=o=>w.faceExpressionNet.predictExpressions(o),da=o=>w.ageGenderNet.predictAgeAndGender(o),un=o=>w.ssdMobilenetv1.load(o),ha=o=>w.tinyFaceDetector.load(o),ba=o=>w.tinyYolov2.load(o),ga=o=>w.faceLandmark68Net.load(o),xa=o=>w.faceLandmark68TinyNet.load(o),va=o=>w.faceRecognitionNet.load(o),ya=o=>w.faceExpressionNet.load(o),_a=o=>w.ageGenderNet.load(o),Ta=un,Pa=mn,wa=pn;var Nr=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.extractedFaces=n}},ae=class extends Nr{async run(){let t=await this.parentTask,e=await oe(t,this.input,async r=>Promise.all(r.map(n=>w.faceExpressionNet.predictExpressions(n))),this.extractedFaces);return t.map((r,n)=>vr(r,e[n]))}withAgeAndGender(){return new ie(this,this.input)}},se=class extends Nr{async run(){let t=await this.parentTask;if(!t)return;let e=await Ce(t,this.input,r=>w.faceExpressionNet.predictExpressions(r),this.extractedFaces);return vr(t,e)}withAgeAndGender(){return new ce(this,this.input)}},Wt=class extends ae{withAgeAndGender(){return new Bt(this,this.input)}withFaceDescriptors(){return new wt(this,this.input)}},kt=class extends se{withAgeAndGender(){return new Rt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Sr=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.extractedFaces=n}},ie=class extends Sr{async run(){let t=await this.parentTask,e=await oe(t,this.input,async r=>Promise.all(r.map(n=>w.ageGenderNet.predictAgeAndGender(n))),this.extractedFaces);return t.map((r,n)=>{let{age:a,gender:s,genderProbability:i}=e[n];return Mr(Cr(r,s,i),a)})}withFaceExpressions(){return new ae(this,this.input)}},ce=class extends Sr{async run(){let t=await this.parentTask;if(!t)return;let{age:e,gender:r,genderProbability:n}=await Ce(t,this.input,a=>w.ageGenderNet.predictAgeAndGender(a),this.extractedFaces);return Mr(Cr(t,r,n),e)}withFaceExpressions(){return new se(this,this.input)}},Bt=class extends ie{withFaceExpressions(){return new Wt(this,this.input)}withFaceDescriptors(){return new wt(this,this.input)}},Rt=class extends ce{withFaceExpressions(){return new kt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Ue=class extends J{constructor(e,r){super();this.parentTask=e;this.input=r}},wt=class extends Ue{async run(){let t=await this.parentTask;return(await oe(t,this.input,r=>Promise.all(r.map(n=>w.faceRecognitionNet.computeFaceDescriptor(n))),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}))).map((r,n)=>Er(t[n],r))}withFaceExpressions(){return new Wt(this,this.input)}withAgeAndGender(){return new Bt(this,this.input)}},Ft=class extends Ue{async run(){let t=await this.parentTask;if(!t)return;let e=await Ce(t,this.input,r=>w.faceRecognitionNet.computeFaceDescriptor(r),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}));return Er(t,e)}withFaceExpressions(){return new kt(this,this.input)}withAgeAndGender(){return new Rt(this,this.input)}};var Je=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.useTinyLandmarkNet=n}get landmarkNet(){return this.useTinyLandmarkNet?w.faceLandmark68TinyNet:w.faceLandmark68Net}},qe=class extends Je{async run(){let t=await this.parentTask,e=t.map(s=>s.detection),r=this.input instanceof Xe.Tensor?await de(this.input,e):await le(this.input,e),n=await Promise.all(r.map(s=>this.landmarkNet.detectLandmarks(s)));return r.forEach(s=>s instanceof Xe.Tensor&&s.dispose()),t.filter((s,i)=>n[i]).map((s,i)=>we(s,n[i]))}withFaceExpressions(){return new Wt(this,this.input)}withAgeAndGender(){return new Bt(this,this.input)}withFaceDescriptors(){return new wt(this,this.input)}},Ze=class extends Je{async run(){let t=await this.parentTask;if(!t)return;let{detection:e}=t,r=this.input instanceof Xe.Tensor?await de(this.input,[e]):await le(this.input,[e]),n=await this.landmarkNet.detectLandmarks(r[0]);return r.forEach(a=>a instanceof Xe.Tensor&&a.dispose()),we(t,n)}withFaceExpressions(){return new kt(this,this.input)}withAgeAndGender(){return new Rt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Ke=class extends J{constructor(e,r=new X){super();this.input=e;this.options=r}},Ie=class extends Ke{async run(){let{input:t,options:e}=this,r;if(e instanceof je)r=w.tinyFaceDetector.locateFaces(t,e);else if(e instanceof X)r=w.ssdMobilenetv1.locateFaces(t,e);else if(e instanceof st)r=w.tinyYolov2.locateFaces(t,e);else throw new Error("detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | TinyYolov2Options");return r}runAndExtendWithFaceDetections(){return new Promise((t,e)=>{this.run().then(r=>t(r.map(n=>jt({},n)))).catch(r=>e(r))})}withFaceLandmarks(t=!1){return new qe(this.runAndExtendWithFaceDetections(),this.input,t)}withFaceExpressions(){return new ae(this.runAndExtendWithFaceDetections(),this.input)}withAgeAndGender(){return new ie(this.runAndExtendWithFaceDetections(),this.input)}},Qe=class extends Ke{async run(){let t=await new Ie(this.input,this.options),e=t[0];return t.forEach(r=>{r.score>e.score&&(e=r)}),e}runAndExtendWithFaceDetection(){return new Promise(async t=>{let e=await this.run();t(e?jt({},e):void 0)})}withFaceLandmarks(t=!1){return new Ze(this.runAndExtendWithFaceDetection(),this.input,t)}withFaceExpressions(){return new se(this.runAndExtendWithFaceDetection(),this.input)}withAgeAndGender(){return new ce(this.runAndExtendWithFaceDetection(),this.input)}};function Fa(o,t=new X){return new Qe(o,t)}function Lr(o,t=new X){return new Ie(o,t)}async function fn(o,t){return Lr(o,new X(t?{minConfidence:t}:{})).withFaceLandmarks().withFaceDescriptors()}async function Da(o,t={}){return Lr(o,new st(t)).withFaceLandmarks().withFaceDescriptors()}var Ea=fn;function xo(o,t){if(o.length!==t.length)throw new Error("euclideanDistance: arr1.length !== arr2.length");let e=Array.from(o),r=Array.from(t);return Math.sqrt(e.map((n,a)=>n-r[a]).reduce((n,a)=>n+a*a,0))}var tr=class{constructor(t,e=.6){this._distanceThreshold=e;let r=Array.isArray(t)?t:[t];if(!r.length)throw new Error("FaceRecognizer.constructor - expected atleast one input");let n=1,a=()=>`person ${n++}`;this._labeledDescriptors=r.map(s=>{if(s instanceof mt)return s;if(s instanceof Float32Array)return new mt(a(),[s]);if(s.descriptor&&s.descriptor instanceof Float32Array)return new mt(a(),[s.descriptor]);throw new Error("FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>")})}get labeledDescriptors(){return this._labeledDescriptors}get distanceThreshold(){return this._distanceThreshold}computeMeanDistance(t,e){return e.map(r=>xo(r,t)).reduce((r,n)=>r+n,0)/(e.length||1)}matchDescriptor(t){return this.labeledDescriptors.map(({descriptors:e,label:r})=>new pe(r,this.computeMeanDistance(t,e))).reduce((e,r)=>e.distancet.toJSON())}}static fromJSON(t){let e=t.labeledDescriptors.map(r=>mt.fromJSON(r));return new tr(e,t.distanceThreshold)}};function Ma(o){let t=new ne;return t.extractWeights(o),t}function ln(o,t){let{width:e,height:r}=new k(t.width,t.height);if(e<=0||r<=0)throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({width:e,height:r})}`);if(Array.isArray(o))return o.map(n=>ln(n,{width:e,height:r}));if(Zt(o)){let n=o.detection.forSize(e,r),a=o.unshiftedLandmarks.forSize(n.box.width,n.box.height);return we(jt(o,n),a)}return pt(o)?jt(o,o.detection.forSize(e,r)):o instanceof z||o instanceof M?o.forSize(e,r):o}var Ia=So;0&&(module.exports={AgeGenderNet,BoundingBox,Box,ComposableTask,ComputeAllFaceDescriptorsTask,ComputeFaceDescriptorsTaskBase,ComputeSingleFaceDescriptorTask,DetectAllFaceLandmarksTask,DetectAllFacesTask,DetectFaceLandmarksTaskBase,DetectFacesTaskBase,DetectSingleFaceLandmarksTask,DetectSingleFaceTask,Dimensions,FACE_EXPRESSION_LABELS,FaceDetection,FaceDetectionNet,FaceExpressionNet,FaceExpressions,FaceLandmark68Net,FaceLandmark68TinyNet,FaceLandmarkNet,FaceLandmarks,FaceLandmarks5,FaceLandmarks68,FaceMatch,FaceMatcher,FaceRecognitionNet,Gender,LabeledBox,LabeledFaceDescriptors,NetInput,NeuralNetwork,ObjectDetection,Point,PredictedBox,Rect,SsdMobilenetv1,SsdMobilenetv1Options,TinyFaceDetector,TinyFaceDetectorOptions,TinyYolov2,TinyYolov2Options,allFaces,allFacesSsdMobilenetv1,allFacesTinyYolov2,awaitMediaLoaded,bufferToImage,computeFaceDescriptor,createCanvas,createCanvasFromMedia,createFaceDetectionNet,createFaceRecognitionNet,createSsdMobilenetv1,createTinyFaceDetector,createTinyYolov2,detectAllFaces,detectFaceLandmarks,detectFaceLandmarksTiny,detectLandmarks,detectSingleFace,draw,env,euclideanDistance,extendWithAge,extendWithFaceDescriptor,extendWithFaceDetection,extendWithFaceExpressions,extendWithFaceLandmarks,extendWithGender,extractFaceTensors,extractFaces,fetchImage,fetchJson,fetchNetWeights,fetchOrThrow,fetchVideo,getContext2dOrThrow,getMediaDimensions,imageTensorToCanvas,imageToSquare,inverseSigmoid,iou,isMediaElement,isMediaLoaded,isWithAge,isWithFaceDetection,isWithFaceExpressions,isWithFaceLandmarks,isWithGender,loadAgeGenderModel,loadFaceDetectionModel,loadFaceExpressionModel,loadFaceLandmarkModel,loadFaceLandmarkTinyModel,loadFaceRecognitionModel,loadSsdMobilenetv1Model,loadTinyFaceDetectorModel,loadTinyYolov2Model,loadWeightMap,locateFaces,matchDimensions,minBbox,nets,nonMaxSuppression,normalize,padToSquare,predictAgeAndGender,recognizeFaceExpressions,resizeResults,resolveInput,shuffleArray,sigmoid,ssdMobilenetv1,tf,tinyFaceDetector,tinyYolov2,toNetInput,utils,validateConfig,version}); diff --git a/dist/face-api.node.js b/dist/face-api.node.js index b5491f8..8c98304 100644 --- a/dist/face-api.node.js +++ b/dist/face-api.node.js @@ -4,4 +4,4 @@ author: ' */ -"use strict";var ln=Object.create;var er=Object.defineProperty;var dn=Object.getOwnPropertyDescriptor;var hn=Object.getOwnPropertyNames;var bn=Object.getPrototypeOf,gn=Object.prototype.hasOwnProperty;var xn=(o,t)=>()=>(t||o((t={exports:{}}).exports,t),t.exports),Lr=(o,t)=>{for(var e in t)er(o,e,{get:t[e],enumerable:!0})},yo=(o,t,e,r)=>{if(t&&typeof t=="object"||typeof t=="function")for(let n of hn(t))!gn.call(o,n)&&n!==e&&er(o,n,{get:()=>t[n],enumerable:!(r=dn(t,n))||r.enumerable});return o};var v=(o,t,e)=>(e=o!=null?ln(bn(o)):{},yo(t||!o||!o.__esModule?er(e,"default",{value:o,enumerable:!0}):e,o)),vn=o=>yo(er({},"__esModule",{value:!0}),o);var x=xn((ka,Wr)=>{"use strict";var _o=Object.defineProperty,yn=Object.getOwnPropertyDescriptor,_n=Object.getOwnPropertyNames,Tn=Object.prototype.hasOwnProperty,Ar=(o,t,e,r)=>{if(t&&typeof t=="object"||typeof t=="function")for(let n of _n(t))!Tn.call(o,n)&&n!==e&&_o(o,n,{get:()=>t[n],enumerable:!(r=yn(t,n))||r.enumerable});return o},Pn=(o,t,e)=>(Ar(o,t,"default"),e&&Ar(e,t,"default")),wn=o=>Ar(_o({},"__esModule",{value:!0}),o),To={};Wr.exports=wn(To);Pn(To,require("@tensorflow/tfjs-node"),Wr.exports)});var Na={};Lr(Na,{AgeGenderNet:()=>He,BoundingBox:()=>Vt,Box:()=>F,ComposableTask:()=>J,ComputeAllFaceDescriptorsTask:()=>wt,ComputeFaceDescriptorsTaskBase:()=>Ue,ComputeSingleFaceDescriptorTask:()=>Ft,DetectAllFaceLandmarksTask:()=>qe,DetectAllFacesTask:()=>Ie,DetectFaceLandmarksTaskBase:()=>Je,DetectFacesTaskBase:()=>Ke,DetectSingleFaceLandmarksTask:()=>Ze,DetectSingleFaceTask:()=>Qe,Dimensions:()=>k,FACE_EXPRESSION_LABELS:()=>no,FaceDetection:()=>M,FaceDetectionNet:()=>uo,FaceExpressionNet:()=>Oe,FaceExpressions:()=>yt,FaceLandmark68Net:()=>Kt,FaceLandmark68TinyNet:()=>ze,FaceLandmarkNet:()=>co,FaceLandmarks:()=>z,FaceLandmarks5:()=>Yr,FaceLandmarks68:()=>Gt,FaceMatch:()=>pe,FaceMatcher:()=>tr,FaceRecognitionNet:()=>Qt,Gender:()=>Tr,LabeledBox:()=>ue,LabeledFaceDescriptors:()=>mt,NetInput:()=>ut,NeuralNetwork:()=>A,ObjectDetection:()=>bt,Point:()=>b,PredictedBox:()=>Gr,Rect:()=>Yt,SsdMobilenetv1:()=>St,SsdMobilenetv1Options:()=>X,TinyFaceDetector:()=>ne,TinyFaceDetectorOptions:()=>je,TinyYolov2:()=>re,TinyYolov2Options:()=>st,allFaces:()=>Ea,allFacesSsdMobilenetv1:()=>un,allFacesTinyYolov2:()=>Da,awaitMediaLoaded:()=>Kr,bufferToImage:()=>Qr,computeFaceDescriptor:()=>fa,createCanvas:()=>Jt,createCanvasFromMedia:()=>We,createFaceDetectionNet:()=>aa,createFaceRecognitionNet:()=>Xn,createSsdMobilenetv1:()=>Jo,createTinyFaceDetector:()=>Ma,createTinyYolov2:()=>ca,detectAllFaces:()=>Sr,detectFaceLandmarks:()=>mn,detectFaceLandmarksTiny:()=>ua,detectLandmarks:()=>wa,detectSingleFace:()=>Fa,draw:()=>so,env:()=>P,euclideanDistance:()=>go,extendWithAge:()=>Er,extendWithFaceDescriptor:()=>Dr,extendWithFaceDetection:()=>jt,extendWithFaceExpressions:()=>xr,extendWithFaceLandmarks:()=>we,extendWithGender:()=>Mr,extractFaceTensors:()=>de,extractFaces:()=>le,fetchImage:()=>An,fetchJson:()=>ro,fetchNetWeights:()=>Wn,fetchOrThrow:()=>xt,fetchVideo:()=>kn,getContext2dOrThrow:()=>O,getMediaDimensions:()=>Xt,imageTensorToCanvas:()=>to,imageToSquare:()=>eo,inverseSigmoid:()=>En,iou:()=>Or,isMediaElement:()=>ir,isMediaLoaded:()=>Ae,isWithAge:()=>Jn,isWithFaceDetection:()=>pt,isWithFaceExpressions:()=>ao,isWithFaceLandmarks:()=>Zt,isWithGender:()=>qn,loadAgeGenderModel:()=>_a,loadFaceDetectionModel:()=>Ta,loadFaceExpressionModel:()=>ya,loadFaceLandmarkModel:()=>ga,loadFaceLandmarkTinyModel:()=>xa,loadFaceRecognitionModel:()=>va,loadSsdMobilenetv1Model:()=>pn,loadTinyFaceDetectorModel:()=>ha,loadTinyYolov2Model:()=>ba,loadWeightMap:()=>oo,locateFaces:()=>Pa,matchDimensions:()=>Bn,minBbox:()=>Hr,nets:()=>w,nonMaxSuppression:()=>zr,normalize:()=>rt,padToSquare:()=>Vr,predictAgeAndGender:()=>da,recognizeFaceExpressions:()=>la,resizeResults:()=>fn,resolveInput:()=>Ut,shuffleArray:()=>Dn,sigmoid:()=>Ne,ssdMobilenetv1:()=>cn,tf:()=>Ca,tinyFaceDetector:()=>ma,tinyYolov2:()=>pa,toNetInput:()=>C,utils:()=>$r,validateConfig:()=>fo,version:()=>Ia});module.exports=vn(Na);var Ca=v(x());var so={};Lr(so,{AnchorPosition:()=>Zr,DrawBox:()=>Le,DrawBoxOptions:()=>ar,DrawFaceLandmarks:()=>yr,DrawFaceLandmarksOptions:()=>vr,DrawTextField:()=>gt,DrawTextFieldOptions:()=>fe,drawContour:()=>dt,drawDetections:()=>Ln,drawFaceExpressions:()=>Rn,drawFaceLandmarks:()=>On});function dt(o,t,e=!1){if(o.beginPath(),t.slice(1).forEach(({x:r,y:n},a)=>{let s=t[a];o.moveTo(s.x,s.y),o.lineTo(r,n)}),e){let r=t[t.length-1],n=t[0];if(!r||!n)return;o.moveTo(r.x,r.y),o.lineTo(n.x,n.y)}o.stroke()}var $r={};Lr($r,{computeReshapedDimensions:()=>Rr,getCenterPoint:()=>zt,isDimensions:()=>or,isEven:()=>rr,isFloat:()=>Br,isTensor:()=>Ot,isTensor1D:()=>Fn,isTensor2D:()=>kr,isTensor3D:()=>ht,isTensor4D:()=>U,isValidNumber:()=>et,isValidProbablitiy:()=>me,range:()=>it,round:()=>Ht});var Po=v(x());var k=class{constructor(t,e){if(!et(t)||!et(e))throw new Error(`Dimensions.constructor - expected width and height to be valid numbers, instead have ${JSON.stringify({width:t,height:e})}`);this._width=t,this._height=e}get width(){return this._width}get height(){return this._height}reverse(){return new k(1/this.width,1/this.height)}};function Ot(o,t){return o instanceof Po.Tensor&&o.shape.length===t}function Fn(o){return Ot(o,1)}function kr(o){return Ot(o,2)}function ht(o){return Ot(o,3)}function U(o){return Ot(o,4)}function Br(o){return o%1!==0}function rr(o){return o%2===0}function Ht(o,t=2){let e=10**t;return Math.floor(o*e)/e}function or(o){return o&&o.width&&o.height}function Rr({width:o,height:t},e){let r=e/Math.max(t,o);return new k(Math.round(o*r),Math.round(t*r))}function zt(o){return o.reduce((t,e)=>t.add(e),new b(0,0)).div(new b(o.length,o.length))}function it(o,t,e){return Array(o).fill(0).map((r,n)=>t+n*e)}function et(o){return!!o&&o!==1/0&&o!==-1/0&&!Number.isNaN(o)||o===0}function me(o){return et(o)&&o>=0&&o<=1}var b=class{constructor(t,e){this._x=t,this._y=e}get x(){return this._x}get y(){return this._y}add(t){return new b(this.x+t.x,this.y+t.y)}sub(t){return new b(this.x-t.x,this.y-t.y)}mul(t){return new b(this.x*t.x,this.y*t.y)}div(t){return new b(this.x/t.x,this.y/t.y)}abs(){return new b(Math.abs(this.x),Math.abs(this.y))}magnitude(){return Math.sqrt(this.x**2+this.y**2)}floor(){return new b(Math.floor(this.x),Math.floor(this.y))}};var F=class{static isRect(t){return!!t&&[t.x,t.y,t.width,t.height].every(et)}static assertIsValidBox(t,e,r=!1){if(!F.isRect(t))throw new Error(`${e} - invalid box: ${JSON.stringify(t)}, expected object with properties x, y, width, height`);if(!r&&(t.width<0||t.height<0))throw new Error(`${e} - width (${t.width}) and height (${t.height}) must be positive numbers`)}constructor(t,e=!0){let r=t||{},n=[r.left,r.top,r.right,r.bottom].every(et),a=[r.x,r.y,r.width,r.height].every(et);if(!a&&!n)throw new Error(`Box.constructor - expected box to be IBoundingBox | IRect, instead have ${JSON.stringify(r)}`);let[s,i,c,m]=a?[r.x,r.y,r.width,r.height]:[r.left,r.top,r.right-r.left,r.bottom-r.top];F.assertIsValidBox({x:s,y:i,width:c,height:m},"Box.constructor",e),this._x=s,this._y=i,this._width=c,this._height=m}get x(){return this._x}get y(){return this._y}get width(){return this._width}get height(){return this._height}get left(){return this.x}get top(){return this.y}get right(){return this.x+this.width}get bottom(){return this.y+this.height}get area(){return this.width*this.height}get topLeft(){return new b(this.left,this.top)}get topRight(){return new b(this.right,this.top)}get bottomLeft(){return new b(this.left,this.bottom)}get bottomRight(){return new b(this.right,this.bottom)}round(){let[t,e,r,n]=[this.x,this.y,this.width,this.height].map(a=>Math.round(a));return new F({x:t,y:e,width:r,height:n})}floor(){let[t,e,r,n]=[this.x,this.y,this.width,this.height].map(a=>Math.floor(a));return new F({x:t,y:e,width:r,height:n})}toSquare(){let{x:t,y:e,width:r,height:n}=this,a=Math.abs(r-n);return re&&(i=-u+e+r,u=e),f>t&&(c=-f+t+n,f=t),m<1&&(c=2-m,m=1),p<1&&(c=2-p,p=1),{dy:s,edy:c,dx:a,edx:i,y:p,ey:f,x:m,ex:u,w:r,h:n}}calibrate(t){return new F({left:this.left+t.left*this.width,top:this.top+t.top*this.height,right:this.right+t.right*this.width,bottom:this.bottom+t.bottom*this.height}).toSquare().round()}};var Vt=class extends F{constructor(t,e,r,n,a=!1){super({left:t,top:e,right:r,bottom:n},a)}};var bt=class{constructor(t,e,r,n,a){this._imageDims=new k(a.width,a.height),this._score=t,this._classScore=e,this._className=r,this._box=new F(n).rescale(this._imageDims)}get score(){return this._score}get classScore(){return this._classScore}get className(){return this._className}get box(){return this._box}get imageDims(){return this._imageDims}get imageWidth(){return this.imageDims.width}get imageHeight(){return this.imageDims.height}get relativeBox(){return new F(this._box).rescale(this.imageDims.reverse())}forSize(t,e){return new bt(this.score,this.classScore,this.className,this.relativeBox,{width:t,height:e})}};var M=class extends bt{constructor(t,e,r){super(t,t,"",e,r)}forSize(t,e){let{score:r,relativeBox:n,imageDims:a}=super.forSize(t,e);return new M(r,n,a)}};function Or(o,t,e=!0){let r=Math.max(0,Math.min(o.right,t.right)-Math.max(o.left,t.left)),n=Math.max(0,Math.min(o.bottom,t.bottom)-Math.max(o.top,t.top)),a=r*n;return e?a/(o.area+t.area-a):a/Math.min(o.area,t.area)}function Hr(o){let t=o.map(i=>i.x),e=o.map(i=>i.y),r=t.reduce((i,c)=>ccii({score:s,boxIndex:i})).sort((s,i)=>s.score-i.score).map(s=>s.boxIndex),a=[];for(;n.length>0;){let s=n.pop();a.push(s);let i=n,c=[];for(let m=0;mc[p]<=e)}return a}var ct=v(x());function rt(o,t){return ct.tidy(()=>{let[e,r,n]=t,a=ct.fill([...o.shape.slice(0,3),1],e,"float32"),s=ct.fill([...o.shape.slice(0,3),1],r,"float32"),i=ct.fill([...o.shape.slice(0,3),1],n,"float32"),c=ct.concat([a,s,i],3);return ct.sub(o,c)})}var Ct=v(x());function Vr(o,t=!1){return Ct.tidy(()=>{let[e,r]=o.shape.slice(1);if(e===r)return o;let n=Math.abs(e-r),a=Math.round(n*(t?.5:1)),s=e>r?2:1,i=f=>{let l=o.shape.slice();return l[s]=f,Ct.fill(l,0,"float32")},c=i(a),m=n-c.shape[s],u=[t&&m?i(m):null,o,c].filter(f=>!!f).map(f=>Ct.cast(f,"float32"));return Ct.concat(u,s)})}function Dn(o){let t=o.slice();for(let e=t.length-1;e>0;e--){let r=Math.floor(Math.random()*(e+1)),n=t[e];t[e]=t[r],t[r]=n}return t}function Ne(o){return 1/(1+Math.exp(-o))}function En(o){return Math.log(o/(1-o))}var Yt=class extends F{constructor(t,e,r,n,a=!1){super({x:t,y:e,width:r,height:n},a)}};var Mn=.5,Cn=.43,In=.45,z=class{constructor(t,e,r=new b(0,0)){let{width:n,height:a}=e;this._imgDims=new k(n,a),this._shift=r,this._positions=t.map(s=>s.mul(new b(n,a)).add(r))}get shift(){return new b(this._shift.x,this._shift.y)}get imageWidth(){return this._imgDims.width}get imageHeight(){return this._imgDims.height}get positions(){return this._positions}get relativePositions(){return this._positions.map(t=>t.sub(this._shift).div(new b(this.imageWidth,this.imageHeight)))}forSize(t,e){return new this.constructor(this.relativePositions,{width:t,height:e})}shiftBy(t,e){return new this.constructor(this.relativePositions,this._imgDims,new b(t,e))}shiftByPoint(t){return this.shiftBy(t.x,t.y)}align(t,e={}){if(t){let a=t instanceof M?t.box.floor():new F(t);return this.shiftBy(a.x,a.y).align(null,e)}let{useDlibAlignment:r,minBoxPadding:n}={useDlibAlignment:!1,minBoxPadding:.2,...e};return r?this.alignDlib():this.alignMinBbox(n)}alignDlib(){let t=this.getRefPointsForAlignment(),[e,r,n]=t,a=u=>n.sub(u).magnitude(),s=(a(e)+a(r))/2,i=Math.floor(s/In),c=zt(t),m=Math.floor(Math.max(0,c.x-Mn*i)),p=Math.floor(Math.max(0,c.y-Cn*i));return new Yt(m,p,Math.min(i,this.imageWidth+m),Math.min(i,this.imageHeight+p))}alignMinBbox(t){let e=Hr(this.positions);return e.pad(e.width*t,e.height*t)}getRefPointsForAlignment(){throw new Error("getRefPointsForAlignment not implemented by base class")}};var Yr=class extends z{getRefPointsForAlignment(){let t=this.positions;return[t[0],t[1],zt([t[3],t[4]])]}};var Gt=class extends z{getJawOutline(){return this.positions.slice(0,17)}getLeftEyeBrow(){return this.positions.slice(17,22)}getRightEyeBrow(){return this.positions.slice(22,27)}getNose(){return this.positions.slice(27,36)}getLeftEye(){return this.positions.slice(36,42)}getRightEye(){return this.positions.slice(42,48)}getMouth(){return this.positions.slice(48,68)}getRefPointsForAlignment(){return[this.getLeftEye(),this.getRightEye(),this.getMouth()].map(zt)}};var pe=class{constructor(t,e){this._label=t,this._distance=e}get label(){return this._label}get distance(){return this._distance}toString(t=!0){return`${this.label}${t?` (${Ht(this.distance)})`:""}`}};var ue=class extends F{constructor(e,r){super(e);this._label=r}static assertIsValidLabeledBox(e,r){if(F.assertIsValidBox(e,r),!et(e.label))throw new Error(`${r} - expected property label (${e.label}) to be a number`)}get label(){return this._label}};var mt=class{constructor(t,e){if(typeof t!="string")throw new Error("LabeledFaceDescriptors - constructor expected label to be a string");if(!Array.isArray(e)||e.some(r=>!(r instanceof Float32Array)))throw new Error("LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array");this._label=t,this._descriptors=e}get label(){return this._label}get descriptors(){return this._descriptors}toJSON(){return{label:this.label,descriptors:this.descriptors.map(t=>Array.from(t))}}static fromJSON(t){let e=t.descriptors.map(r=>new Float32Array(r));return new mt(t.label,e)}};var Gr=class extends ue{constructor(e,r,n,a){super(e,r);this._score=n,this._classScore=a}static assertIsValidPredictedBox(e,r){if(ue.assertIsValidLabeledBox(e,r),!me(e.score)||!me(e.classScore))throw new Error(`${r} - expected properties score (${e.score}) and (${e.classScore}) to be a number between [0, 1]`)}get score(){return this._score}get classScore(){return this._classScore}};function pt(o){return o.detection instanceof M}function jt(o,t){return{...o,...{detection:t}}}function jr(){let o=window.fetch;if(!o)throw new Error("fetch - missing fetch implementation for browser environment");return{Canvas:HTMLCanvasElement,CanvasRenderingContext2D,Image:HTMLImageElement,ImageData,Video:HTMLVideoElement,createCanvasElement:()=>document.createElement("canvas"),createImageElement:()=>document.createElement("img"),createVideoElement:()=>document.createElement("video"),fetch:o,readFile:()=>{throw new Error("readFile - filesystem not available for browser environment")}}}function Se(){return typeof global=="object"&&typeof process!="undefined"&&process.versions!=null&&process.versions.node!=null}function nr(o){let t="";if(!o&&Se())try{o=require("fs")}catch(r){t=r.toString()}return{readFile:o?r=>new Promise((n,a)=>{o.readFile(r,(s,i)=>s?a(s):n(i))}):()=>{throw new Error(`readFile - failed to require fs in nodejs environment with error: ${t}`)}}}function Ur(){let o=global.Canvas||global.HTMLCanvasElement,t=global.Image||global.HTMLImageElement,e=global.Video||global.HTMLVideoElement,r=()=>{if(o)return new o;throw new Error("createCanvasElement - missing Canvas implementation for nodejs environment")},n=()=>{if(t)return new t;throw new Error("createImageElement - missing Image implementation for nodejs environment")},a=()=>{if(e)return new e;throw new Error("createVideoElement - missing Video implementation for nodejs environment")},s=global.fetch,i=nr();return{Canvas:o||class{},CanvasRenderingContext2D:global.CanvasRenderingContext2D||class{},Image:t||class{},ImageData:global.ImageData||class{},Video:global.HTMLVideoElement||class{},createCanvasElement:r,createImageElement:n,createVideoElement:a,fetch:s,...i}}function Xr(){return typeof window=="object"&&typeof document!="undefined"&&typeof HTMLImageElement!="undefined"&&typeof HTMLCanvasElement!="undefined"&&typeof HTMLVideoElement!="undefined"&&typeof ImageData!="undefined"&&typeof CanvasRenderingContext2D!="undefined"}var L;function Nn(){if(!L)throw new Error("getEnv - environment is not defined, check isNodejs() and isBrowser()");return L}function Jr(o){L=o}function qr(){return Xr()?Jr(jr()):Se()?Jr(Ur()):null}function Sn(o){if(L||qr(),!L)throw new Error("monkeyPatch - environment is not defined, check isNodejs() and isBrowser()");let{Canvas:t=L.Canvas,Image:e=L.Image}=o;L.Canvas=t,L.Image=e,L.createCanvasElement=o.createCanvasElement||(()=>new t),L.createImageElement=o.createImageElement||(()=>new e),L.ImageData=o.ImageData||L.ImageData,L.Video=o.Video||L.Video,L.fetch=o.fetch||L.fetch,L.readFile=o.readFile||L.readFile}var P={getEnv:Nn,setEnv:Jr,initialize:qr,createBrowserEnv:jr,createFileSystem:nr,createNodejsEnv:Ur,monkeyPatch:Sn,isBrowser:Xr,isNodejs:Se};qr();function Ut(o){return!P.isNodejs()&&typeof o=="string"?document.getElementById(o):o}function O(o){let{Canvas:t,CanvasRenderingContext2D:e}=P.getEnv();if(o instanceof e)return o;let r=Ut(o);if(!(r instanceof t))throw new Error("resolveContext2d - expected canvas to be of instance of Canvas");let n=r.getContext("2d");if(!n)throw new Error("resolveContext2d - canvas 2d context is null");return n}var Zr=(n=>(n.TOP_LEFT="TOP_LEFT",n.TOP_RIGHT="TOP_RIGHT",n.BOTTOM_LEFT="BOTTOM_LEFT",n.BOTTOM_RIGHT="BOTTOM_RIGHT",n))(Zr||{}),fe=class{constructor(t={}){let{anchorPosition:e,backgroundColor:r,fontColor:n,fontSize:a,fontStyle:s,padding:i}=t;this.anchorPosition=e||"TOP_LEFT",this.backgroundColor=r||"rgba(0, 0, 0, 0.5)",this.fontColor=n||"rgba(255, 255, 255, 1)",this.fontSize=a||14,this.fontStyle=s||"Georgia",this.padding=i||4}},gt=class{constructor(t,e,r={}){this.text=typeof t=="string"?[t]:t instanceof gt?t.text:t,this.anchor=e,this.options=new fe(r)}measureWidth(t){let{padding:e}=this.options;return this.text.map(r=>t.measureText(r).width).reduce((r,n)=>r{let g=c+u.x,T=c+u.y+(l+1)*s;r.fillText(f,g,T)})}};var ar=class{constructor(t={}){let{boxColor:e,lineWidth:r,label:n,drawLabelOptions:a}=t;this.boxColor=e||"rgba(0, 0, 255, 1)",this.lineWidth=r||2,this.label=n;let s={anchorPosition:"BOTTOM_LEFT",backgroundColor:this.boxColor};this.drawLabelOptions=new fe({...s,...a})}},Le=class{constructor(t,e={}){this.box=new F(t),this.options=new ar(e)}draw(t){let e=O(t),{boxColor:r,lineWidth:n}=this.options,{x:a,y:s,width:i,height:c}=this.box;e.strokeStyle=r,e.lineWidth=n,e.strokeRect(a,s,i,c);let{label:m}=this.options;m&&new gt([m],{x:a-n/2,y:s},this.options.drawLabelOptions).draw(t)}};function Ln(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let n=r instanceof M?r.score:pt(r)?r.detection.score:void 0,a=r instanceof M?r.box:pt(r)?r.detection.box:new F(r),s=n?`${Ht(n)}`:void 0;new Le(a,{label:s}).draw(o)})}var Pe=v(x());function Ae(o){let{Image:t,Video:e}=P.getEnv();return o instanceof t&&o.complete||o instanceof e&&o.readyState>=3}function Kr(o){return new Promise((t,e)=>{(o instanceof P.getEnv().Canvas||Ae(o))&&t(null);function r(a){!a.currentTarget||(a.currentTarget.removeEventListener("load",n),a.currentTarget.removeEventListener("error",r),e(a))}function n(a){!a.currentTarget||(a.currentTarget.removeEventListener("load",n),a.currentTarget.removeEventListener("error",r),t(a))}o.addEventListener("load",n),o.addEventListener("error",r)})}function Qr(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToImage - expected buf to be of type: Blob"));let r=new FileReader;r.onload=()=>{typeof r.result!="string"&&e(new Error("bufferToImage - expected reader.result to be a string, in onload"));let n=P.getEnv().createImageElement();n.onload=()=>t(n),n.onerror=e,n.src=r.result},r.onerror=e,r.readAsDataURL(o)})}function Xt(o){let{Image:t,Video:e}=P.getEnv();return o instanceof t?new k(o.naturalWidth,o.naturalHeight):o instanceof e?new k(o.videoWidth,o.videoHeight):new k(o.width,o.height)}function Jt({width:o,height:t}){let{createCanvasElement:e}=P.getEnv(),r=e();return r.width=o,r.height=t,r}function We(o,t){let{ImageData:e}=P.getEnv();if(!(o instanceof e)&&!Ae(o))throw new Error("createCanvasFromMedia - media has not finished loading yet");let{width:r,height:n}=t||Xt(o),a=Jt({width:r,height:n});return o instanceof e?O(a).putImageData(o,0,0):O(a).drawImage(o,0,0,r,n),a}var sr=v(x());async function to(o,t){let e=t||P.getEnv().createCanvasElement(),[r,n,a]=o.shape.slice(U(o)?1:0),s=sr.tidy(()=>o.as3D(r,n,a).toInt());return await sr.browser.toPixels(s,e),s.dispose(),e}function ir(o){let{Image:t,Canvas:e,Video:r}=P.getEnv();return o instanceof t||o instanceof e||o instanceof r}var V=v(x());function eo(o,t,e=!1){let{Image:r,Canvas:n}=P.getEnv();if(!(o instanceof r||o instanceof n))throw new Error("imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement");if(t<=0)return Jt({width:1,height:1});let a=Xt(o),s=t/Math.max(a.height,a.width),i=s*a.width,c=s*a.height,m=Jt({width:t,height:t}),p=o instanceof n?o:We(o),u=Math.abs(i-c)/2,f=e&&i0&&p.height>0&&O(m).drawImage(p,f,l,i,c),m}var ut=class{constructor(t,e=!1){this._imageTensors=[];this._canvases=[];this._treatAsBatchInput=!1;this._inputDimensions=[];this._inputSize=0;if(!Array.isArray(t))throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${t}`);this._treatAsBatchInput=e,this._batchSize=t.length,t.forEach((r,n)=>{if(ht(r)){this._imageTensors[n]=r,this._inputDimensions[n]=r.shape;return}if(U(r)){let s=r.shape[0];if(s!==1)throw new Error(`NetInput - tf.Tensor4D with batchSize ${s} passed, but not supported in input array`);this._imageTensors[n]=r,this._inputDimensions[n]=r.shape.slice(1);return}let a=r instanceof P.getEnv().Canvas?r:We(r);this._canvases[n]=a,this._inputDimensions[n]=[a.height,a.width,3]})}get imageTensors(){return this._imageTensors}get canvases(){return this._canvases}get isBatchInput(){return this.batchSize>1||this._treatAsBatchInput}get batchSize(){return this._batchSize}get inputDimensions(){return this._inputDimensions}get inputSize(){return this._inputSize}get reshapedInputDimensions(){return it(this.batchSize,0,1).map((t,e)=>this.getReshapedInputDimensions(e))}getInput(t){return this.canvases[t]||this.imageTensors[t]}getInputDimensions(t){return this._inputDimensions[t]}getInputHeight(t){return this._inputDimensions[t][0]}getInputWidth(t){return this._inputDimensions[t][1]}getReshapedInputDimensions(t){if(typeof this.inputSize!="number")throw new Error("getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet");let e=this.getInputWidth(t),r=this.getInputHeight(t);return Rr({width:e,height:r},this.inputSize)}toBatchTensor(t,e=!0){return this._inputSize=t,V.tidy(()=>{let r=it(this.batchSize,0,1).map(a=>{let s=this.getInput(a);if(s instanceof V.Tensor){let i=U(s)?s:V.expandDims(s);return i=Vr(i,e),(i.shape[1]!==t||i.shape[2]!==t)&&(i=V.image.resizeBilinear(i,[t,t],!1,!1)),i.as3D(t,t,3)}if(s instanceof P.getEnv().Canvas)return V.browser.fromPixels(eo(s,t,e));throw new Error(`toBatchTensor - at batchIdx ${a}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${s}`)});return V.stack(r.map(a=>V.cast(a,"float32"))).as4D(this.batchSize,t,t,3)})}};async function C(o){if(o instanceof ut)return o;let t=Array.isArray(o)?o:[o];if(!t.length)throw new Error("toNetInput - empty array passed as input");let e=n=>Array.isArray(o)?` at input index ${n}:`:"",r=t.map(Ut);return r.forEach((n,a)=>{if(!ir(n)&&!ht(n)&&!U(n))throw typeof t[a]=="string"?new Error(`toNetInput -${e(a)} string passed, but could not resolve HTMLElement for element id ${t[a]}`):new Error(`toNetInput -${e(a)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);if(U(n)){let s=n.shape[0];if(s!==1)throw new Error(`toNetInput -${e(a)} tf.Tensor4D with batchSize ${s} passed, but not supported in input array`)}}),await Promise.all(r.map(n=>ir(n)&&Kr(n))),new ut(r,Array.isArray(o))}async function le(o,t){let{Canvas:e}=P.getEnv(),r=o;if(!(o instanceof e)){let s=await C(o);if(s.batchSize>1)throw new Error("extractFaces - batchSize > 1 not supported");let i=s.getInput(0);r=i instanceof e?i:await to(i)}let n=O(r);return t.map(s=>s instanceof M?s.forSize(r.width,r.height).box.floor():s).map(s=>s.clipAtImageBorders(r.width,r.height)).map(({x:s,y:i,width:c,height:m})=>{let p=Jt({width:c,height:m});return c>0&&m>0&&O(p).putImageData(n.getImageData(s,i,c,m),0,0),p})}var cr=v(x());async function de(o,t){if(!ht(o)&&!U(o))throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");if(U(o)&&o.shape[0]>1)throw new Error("extractFaceTensors - batchSize > 1 not supported");return cr.tidy(()=>{let[e,r,n]=o.shape.slice(U(o)?1:0);return t.map(i=>i instanceof M?i.forSize(r,e).box:i).map(i=>i.clipAtImageBorders(r,e)).filter(i=>i.width>0&&i.height>0).map(({x:i,y:c,width:m,height:p})=>cr.slice3d(o.as3D(e,r,n),[c,i,0],[p,m,n]))})}async function xt(o,t){let{fetch:e}=P.getEnv(),r=await e(o,t);if(!(r.status<400))throw new Error(`failed to fetch: (${r.status}) ${r.statusText}, from url: ${r.url}`);return r}async function An(o){let t=await xt(o),e=await t.blob();if(!e.type.startsWith("image/"))throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${e.type}, for url: ${t.url}`);return Qr(e)}async function ro(o){return(await xt(o)).json()}async function Wn(o){return new Float32Array(await(await xt(o)).arrayBuffer())}function wo(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToVideo - expected buf to be of type: Blob"));let r=P.getEnv().createVideoElement();r.oncanplay=()=>t(r),r.onerror=e,r.playsInline=!0,r.muted=!0,r.src=URL.createObjectURL(o),r.play()})}async function kn(o){let t=await xt(o),e=await t.blob();if(!e.type.startsWith("video/"))throw new Error(`fetchVideo - expected blob type to be of type video/*, instead have: ${e.type}, for url: ${t.url}`);return wo(e)}var Fo=v(x());function mr(o,t){let e=`${t}-weights_manifest.json`;if(!o)return{modelBaseUri:"",manifestUri:e};if(o==="/")return{modelBaseUri:"/",manifestUri:`/${e}`};let r=o.startsWith("http://")?"http://":o.startsWith("https://")?"https://":"";o=o.replace(r,"");let n=o.split("/").filter(i=>i),a=o.endsWith(".json")?n[n.length-1]:e,s=r+(o.endsWith(".json")?n.slice(0,n.length-1):n).join("/");return s=o.startsWith("/")?`/${s}`:s,{modelBaseUri:s,manifestUri:s==="/"?`/${a}`:`${s}/${a}`}}async function oo(o,t){let{manifestUri:e,modelBaseUri:r}=mr(o,t),n=await ro(e);return Fo.io.loadWeights(n,r)}function Bn(o,t,e=!1){let{width:r,height:n}=e?Xt(t):t;return o.width=r,o.height=n,{width:r,height:n}}var ye=v(x());var vt=v(x());var A=class{constructor(t){this._params=void 0;this._paramMappings=[];this._name=t}get params(){return this._params}get paramMappings(){return this._paramMappings}get isLoaded(){return!!this.params}getParamFromPath(t){let{obj:e,objProp:r}=this.traversePropertyPath(t);return e[r]}reassignParamFromPath(t,e){let{obj:r,objProp:n}=this.traversePropertyPath(t);r[n].dispose(),r[n]=e}getParamList(){return this._paramMappings.map(({paramPath:t})=>({path:t,tensor:this.getParamFromPath(t)}))}getTrainableParams(){return this.getParamList().filter(t=>t.tensor instanceof vt.Variable)}getFrozenParams(){return this.getParamList().filter(t=>!(t.tensor instanceof vt.Variable))}variable(){this.getFrozenParams().forEach(({path:t,tensor:e})=>{this.reassignParamFromPath(t,e.variable())})}freeze(){this.getTrainableParams().forEach(({path:t,tensor:e})=>{let r=vt.tensor(e.dataSync());e.dispose(),this.reassignParamFromPath(t,r)})}dispose(t=!0){this.getParamList().forEach(e=>{if(t&&e.tensor.isDisposed)throw new Error(`param tensor has already been disposed for path ${e.path}`);e.tensor.dispose()}),this._params=void 0}serializeParams(){return new Float32Array(this.getParamList().map(({tensor:t})=>Array.from(t.dataSync())).reduce((t,e)=>t.concat(e)))}async load(t){if(t instanceof Float32Array){this.extractWeights(t);return}await this.loadFromUri(t)}async loadFromUri(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromUri - expected model uri`);let e=await oo(t,this.getDefaultModelName());this.loadFromWeightMap(e)}async loadFromDisk(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromDisk - expected model file path`);let{readFile:e}=P.getEnv(),{manifestUri:r,modelBaseUri:n}=mr(t,this.getDefaultModelName()),a=m=>Promise.all(m.map(p=>e(p).then(u=>u.buffer))),s=vt.io.weightsLoaderFactory(a),i=JSON.parse((await e(r)).toString()),c=await s(i,n);this.loadFromWeightMap(c)}loadFromWeightMap(t){let{paramMappings:e,params:r}=this.extractParamsFromWeightMap(t);this._paramMappings=e,this._params=r}extractWeights(t){let{paramMappings:e,params:r}=this.extractParams(t);this._paramMappings=e,this._params=r}traversePropertyPath(t){if(!this.params)throw new Error("traversePropertyPath - model has no loaded params");let e=t.split("/").reduce((a,s)=>{if(!a.nextObj.hasOwnProperty(s))throw new Error(`traversePropertyPath - object does not have property ${s}, for path ${t}`);return{obj:a.nextObj,objProp:s,nextObj:a.nextObj[s]}},{nextObj:this.params}),{obj:r,objProp:n}=e;if(!r||!n||!(r[n]instanceof vt.Tensor))throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${t}`);return{obj:r,objProp:n}}};var I=v(x());var he=v(x());function H(o,t,e){return he.tidy(()=>{let r=he.separableConv2d(o,t.depthwise_filter,t.pointwise_filter,e,"same");return r=he.add(r,t.bias),r})}function pr(o,t,e=!1){return I.tidy(()=>{let r=I.relu(e?I.add(I.conv2d(o,t.conv0.filters,[2,2],"same"),t.conv0.bias):H(o,t.conv0,[2,2])),n=H(r,t.conv1,[1,1]),a=I.relu(I.add(r,n)),s=H(a,t.conv2,[1,1]);return I.relu(I.add(r,I.add(n,s)))})}function ke(o,t,e=!1,r=!0){return I.tidy(()=>{let n=I.relu(e?I.add(I.conv2d(o,t.conv0.filters,r?[2,2]:[1,1],"same"),t.conv0.bias):H(o,t.conv0,r?[2,2]:[1,1])),a=H(n,t.conv1,[1,1]),s=I.relu(I.add(n,a)),i=H(s,t.conv2,[1,1]),c=I.relu(I.add(n,I.add(a,i))),m=H(c,t.conv3,[1,1]);return I.relu(I.add(n,I.add(a,I.add(i,m))))})}var It=v(x());function qt(o,t,e="same",r=!1){return It.tidy(()=>{let n=It.add(It.conv2d(o,t.filters,[1,1],e),t.bias);return r?It.relu(n):n})}function B(o,t){Object.keys(o).forEach(e=>{t.some(r=>r.originalPath===e)||o[e].dispose()})}var ur=v(x());function be(o,t){return(e,r,n,a)=>{let s=ur.tensor4d(o(e*r*n*n),[n,n,e,r]),i=ur.tensor1d(o(r));return t.push({paramPath:`${a}/filters`},{paramPath:`${a}/bias`}),{filters:s,bias:i}}}var fr=v(x());function lr(o,t){return(e,r,n)=>{let a=fr.tensor2d(o(e*r),[e,r]),s=fr.tensor1d(o(r));return t.push({paramPath:`${n}/weights`},{paramPath:`${n}/bias`}),{weights:a,bias:s}}}var Re=v(x());var Be=class{constructor(t,e,r){this.depthwise_filter=t;this.pointwise_filter=e;this.bias=r}};function ge(o,t){return(e,r,n)=>{let a=Re.tensor4d(o(9*e),[3,3,e,1]),s=Re.tensor4d(o(e*r),[1,1,e,r]),i=Re.tensor1d(o(r));return t.push({paramPath:`${n}/depthwise_filter`},{paramPath:`${n}/pointwise_filter`},{paramPath:`${n}/bias`}),new Be(a,s,i)}}function xe(o){return t=>{let e=o(`${t}/depthwise_filter`,4),r=o(`${t}/pointwise_filter`,4),n=o(`${t}/bias`,1);return new Be(e,r,n)}}function Y(o,t){return(e,r,n)=>{let a=o[e];if(!Ot(a,r))throw new Error(`expected weightMap[${e}] to be a Tensor${r}D, instead have ${a}`);return t.push({originalPath:e,paramPath:n||e}),a}}function R(o){let t=o;function e(n){let a=t.slice(0,n);return t=t.slice(n),a}function r(){return t}return{extractWeights:e,getRemainingWeights:r}}function dr(o,t){let e=be(o,t),r=ge(o,t);function n(s,i,c,m=!1){let p=m?e(s,i,3,`${c}/conv0`):r(s,i,`${c}/conv0`),u=r(i,i,`${c}/conv1`),f=r(i,i,`${c}/conv2`);return{conv0:p,conv1:u,conv2:f}}function a(s,i,c,m=!1){let{conv0:p,conv1:u,conv2:f}=n(s,i,c,m),l=r(i,i,`${c}/conv3`);return{conv0:p,conv1:u,conv2:f,conv3:l}}return{extractDenseBlock3Params:n,extractDenseBlock4Params:a}}function Do(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractDenseBlock4Params:n}=dr(e,t),a=n(3,32,"dense0",!0),s=n(32,64,"dense1"),i=n(64,128,"dense2"),c=n(128,256,"dense3");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:a,dense1:s,dense2:i,dense3:c}}}function hr(o){return t=>{let e=o(`${t}/filters`,4),r=o(`${t}/bias`,1);return{filters:e,bias:r}}}function br(o,t){let e=Y(o,t),r=hr(e),n=xe(e);function a(i,c=!1){let m=c?r(`${i}/conv0`):n(`${i}/conv0`),p=n(`${i}/conv1`),u=n(`${i}/conv2`);return{conv0:m,conv1:p,conv2:u}}function s(i,c=!1){let m=c?r(`${i}/conv0`):n(`${i}/conv0`),p=n(`${i}/conv1`),u=n(`${i}/conv2`),f=n(`${i}/conv3`);return{conv0:m,conv1:p,conv2:u,conv3:f}}return{extractDenseBlock3Params:a,extractDenseBlock4Params:s}}function Eo(o){let t=[],{extractDenseBlock4Params:e}=br(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2"),dense3:e("dense3")};return B(o,t),{params:r,paramMappings:t}}var ve=class extends A{constructor(){super("FaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceFeatureExtractor - load model before inference");return ye.tidy(()=>{let r=ye.cast(t.toBatchTensor(112,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=ke(a,e.dense0,!0);return s=ke(s,e.dense1),s=ke(s,e.dense2),s=ke(s,e.dense3),s=ye.avgPool(s,[7,7],[2,2],"valid"),s})}async forward(t){return this.forwardInput(await C(t))}getDefaultModelName(){return"face_feature_extractor_model"}extractParamsFromWeightMap(t){return Eo(t)}extractParams(t){return Do(t)}};var Io=v(x());var _e=v(x());function $e(o,t){return _e.tidy(()=>_e.add(_e.matMul(o,t.weights),t.bias))}function Mo(o,t,e){let r=[],{extractWeights:n,getRemainingWeights:a}=R(o),i=lr(n,r)(t,e,"fc");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:r,params:{fc:i}}}function Co(o){let t=[],e=Y(o,t);function r(a){let s=e(`${a}/weights`,2),i=e(`${a}/bias`,1);return{weights:s,bias:i}}let n={fc:r("fc")};return B(o,t),{params:n,paramMappings:t}}function gr(o){let t={},e={};return Object.keys(o).forEach(r=>{let n=r.startsWith("fc")?e:t;n[r]=o[r]}),{featureExtractorMap:t,classifierMap:e}}var Te=class extends A{constructor(e,r){super(e);this._faceFeatureExtractor=r}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return Io.tidy(()=>{let n=e instanceof ut?this.faceFeatureExtractor.forwardInput(e):e;return $e(n.as2D(n.shape[0],-1),r.fc)})}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:n}=this.extractClassifierParams(e);this._params=r,this._paramMappings=n}extractClassifierParams(e){return Mo(e,this.getClassifierChannelsIn(),this.getClassifierChannelsOut())}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:n}=gr(e);return this.faceFeatureExtractor.loadFromWeightMap(r),Co(n)}extractParams(e){let r=this.getClassifierChannelsIn(),n=this.getClassifierChannelsOut(),a=n*r+n,s=e.slice(0,e.length-a),i=e.slice(e.length-a);return this.faceFeatureExtractor.extractWeights(s),this.extractClassifierParams(i)}};var no=["neutral","happy","sad","angry","fearful","disgusted","surprised"],yt=class{constructor(t){this.neutral=0;this.happy=0;this.sad=0;this.angry=0;this.fearful=0;this.disgusted=0;this.surprised=0;if(t.length!==7)throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${t.length}`);no.forEach((e,r)=>{this[e]=t[r]})}asSortedArray(){return no.map(t=>({expression:t,probability:this[t]})).sort((t,e)=>e.probability-t.probability)}};var Oe=class extends Te{constructor(t=new ve){super("FaceExpressionNet",t)}forwardInput(t){return Pe.tidy(()=>Pe.softmax(this.runNet(t)))}async forward(t){return this.forwardInput(await C(t))}async predictExpressions(t){let e=await C(t),r=await this.forwardInput(e),n=await Promise.all(Pe.unstack(r).map(async s=>{let i=s.dataSync();return s.dispose(),i}));r.dispose();let a=n.map(s=>new yt(s));return e.isBatchInput?a:a[0]}getDefaultModelName(){return"face_expression_model"}getClassifierChannelsIn(){return 256}getClassifierChannelsOut(){return 7}};function ao(o){return o.expressions instanceof yt}function xr(o,t){return{...o,...{expressions:t}}}function Rn(o,t,e=.1,r){(Array.isArray(t)?t:[t]).forEach(a=>{let s=a instanceof yt?a:ao(a)?a.expressions:void 0;if(!s)throw new Error("drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof");let c=s.asSortedArray().filter(u=>u.probability>e),m=pt(a)?a.detection.box.bottomLeft:r||new b(0,0);new gt(c.map(u=>`${u.expression} (${Ht(u.probability)})`),m).draw(o)})}function Zt(o){return pt(o)&&o.landmarks instanceof z&&o.unshiftedLandmarks instanceof z&&o.alignedRect instanceof M}function $n(o){let t=(i,c,m,p)=>Math.atan2(p-c,m-i)%Math.PI,e=i=>i*180/Math.PI,r={roll:void 0,pitch:void 0,yaw:void 0};if(!o||!o._positions||o._positions.length!==68)return r;let n=o._positions;r.roll=-t(n[36]._x,n[36]._y,n[45]._x,n[45]._y),r.pitch=t(0,Math.abs(n[0]._x-n[30]._x)/n[30]._x,Math.PI,Math.abs(n[16]._x-n[30]._x)/n[30]._x);let a=n.reduce((i,c)=>ii>c._y?i:c._y,-1/0);return r.yaw=Math.PI*(o._imgDims._height/(s-a)/1.4-1),r}function we(o,t){let{box:e}=o.detection,r=t.shiftBy(e.x,e.y),n=r.align(),{imageDims:a}=o.detection,s=new M(o.detection.score,n.rescale(a.reverse()),a),i=$n(t);return{...o,...{landmarks:r,unshiftedLandmarks:t,alignedRect:s,angle:i}}}var vr=class{constructor(t={}){let{drawLines:e=!0,drawPoints:r=!0,lineWidth:n,lineColor:a,pointSize:s,pointColor:i}=t;this.drawLines=e,this.drawPoints=r,this.lineWidth=n||1,this.pointSize=s||2,this.lineColor=a||"rgba(0, 255, 255, 1)",this.pointColor=i||"rgba(255, 0, 255, 1)"}},yr=class{constructor(t,e={}){this.faceLandmarks=t,this.options=new vr(e)}draw(t){let e=O(t),{drawLines:r,drawPoints:n,lineWidth:a,lineColor:s,pointSize:i,pointColor:c}=this.options;if(r&&this.faceLandmarks instanceof Gt&&(e.strokeStyle=s,e.lineWidth=a,dt(e,this.faceLandmarks.getJawOutline()),dt(e,this.faceLandmarks.getLeftEyeBrow()),dt(e,this.faceLandmarks.getRightEyeBrow()),dt(e,this.faceLandmarks.getNose()),dt(e,this.faceLandmarks.getLeftEye(),!0),dt(e,this.faceLandmarks.getRightEye(),!0),dt(e,this.faceLandmarks.getMouth(),!0)),n){e.strokeStyle=c,e.fillStyle=c;let m=p=>{e.beginPath(),e.arc(p.x,p.y,i,0,2*Math.PI),e.fill()};this.faceLandmarks.positions.forEach(m)}}};function On(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let n=r instanceof z?r:Zt(r)?r.landmarks:void 0;if(!n)throw new Error("drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks> or array thereof");new yr(n).draw(o)})}var No="1.7.4";var ft=v(x());var S=v(x());function Vn(o,t){let e=be(o,t),r=ge(o,t);function n(s,i,c){let m=r(s,i,`${c}/separable_conv0`),p=r(i,i,`${c}/separable_conv1`),u=e(s,i,1,`${c}/expansion_conv`);return{separable_conv0:m,separable_conv1:p,expansion_conv:u}}function a(s,i){let c=r(s,s,`${i}/separable_conv0`),m=r(s,s,`${i}/separable_conv1`),p=r(s,s,`${i}/separable_conv2`);return{separable_conv0:c,separable_conv1:m,separable_conv2:p}}return{extractConvParams:e,extractSeparableConvParams:r,extractReductionBlockParams:n,extractMainBlockParams:a}}function So(o,t){let e=[],{extractWeights:r,getRemainingWeights:n}=R(o),{extractConvParams:a,extractSeparableConvParams:s,extractReductionBlockParams:i,extractMainBlockParams:c}=Vn(r,e),m=a(3,32,3,"entry_flow/conv_in"),p=i(32,64,"entry_flow/reduction_block_0"),u=i(64,128,"entry_flow/reduction_block_1"),f={conv_in:m,reduction_block_0:p,reduction_block_1:u},l={};it(t,0,1).forEach(h=>{l[`main_block_${h}`]=c(128,`middle_flow/main_block_${h}`)});let g=i(128,256,"exit_flow/reduction_block"),T=s(256,512,"exit_flow/separable_conv"),D={reduction_block:g,separable_conv:T};if(n().length!==0)throw new Error(`weights remaing after extract: ${n().length}`);return{paramMappings:e,params:{entry_flow:f,middle_flow:l,exit_flow:D}}}function Yn(o,t){let e=Y(o,t),r=hr(e),n=xe(e);function a(i){let c=n(`${i}/separable_conv0`),m=n(`${i}/separable_conv1`),p=r(`${i}/expansion_conv`);return{separable_conv0:c,separable_conv1:m,expansion_conv:p}}function s(i){let c=n(`${i}/separable_conv0`),m=n(`${i}/separable_conv1`),p=n(`${i}/separable_conv2`);return{separable_conv0:c,separable_conv1:m,separable_conv2:p}}return{extractConvParams:r,extractSeparableConvParams:n,extractReductionBlockParams:a,extractMainBlockParams:s}}function Lo(o,t){let e=[],{extractConvParams:r,extractSeparableConvParams:n,extractReductionBlockParams:a,extractMainBlockParams:s}=Yn(o,e),i=r("entry_flow/conv_in"),c=a("entry_flow/reduction_block_0"),m=a("entry_flow/reduction_block_1"),p={conv_in:i,reduction_block_0:c,reduction_block_1:m},u={};it(t,0,1).forEach(T=>{u[`main_block_${T}`]=s(`middle_flow/main_block_${T}`)});let f=a("exit_flow/reduction_block"),l=n("exit_flow/separable_conv"),g={reduction_block:f,separable_conv:l};return B(o,e),{params:{entry_flow:p,middle_flow:u,exit_flow:g},paramMappings:e}}function Ao(o,t,e){return S.add(S.conv2d(o,t.filters,e,"same"),t.bias)}function io(o,t,e=!0){let r=e?S.relu(o):o;return r=H(r,t.separable_conv0,[1,1]),r=H(S.relu(r),t.separable_conv1,[1,1]),r=S.maxPool(r,[3,3],[2,2],"same"),r=S.add(r,Ao(o,t.expansion_conv,[2,2])),r}function Gn(o,t){let e=H(S.relu(o),t.separable_conv0,[1,1]);return e=H(S.relu(e),t.separable_conv1,[1,1]),e=H(S.relu(e),t.separable_conv2,[1,1]),e=S.add(e,o),e}var _r=class extends A{constructor(e){super("TinyXception");this._numMainBlocks=e}forwardInput(e){let{params:r}=this;if(!r)throw new Error("TinyXception - load model before inference");return S.tidy(()=>{let n=S.cast(e.toBatchTensor(112,!0),"float32"),s=rt(n,[122.782,117.001,104.298]).div(255),i=S.relu(Ao(s,r.entry_flow.conv_in,[2,2]));return i=io(i,r.entry_flow.reduction_block_0,!1),i=io(i,r.entry_flow.reduction_block_1),it(this._numMainBlocks,0,1).forEach(c=>{i=Gn(i,r.middle_flow[`main_block_${c}`])}),i=io(i,r.exit_flow.reduction_block),i=S.relu(H(i,r.exit_flow.separable_conv,[1,1])),i})}async forward(e){return this.forwardInput(await C(e))}getDefaultModelName(){return"tiny_xception_model"}extractParamsFromWeightMap(e){return Lo(e,this._numMainBlocks)}extractParams(e){return So(e,this._numMainBlocks)}};function Wo(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),n=lr(e,t),a=n(512,1,"fc/age"),s=n(512,2,"fc/gender");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{fc:{age:a,gender:s}}}}function ko(o){let t=[],e=Y(o,t);function r(a){let s=e(`${a}/weights`,2),i=e(`${a}/bias`,1);return{weights:s,bias:i}}let n={fc:{age:r("fc/age"),gender:r("fc/gender")}};return B(o,t),{params:n,paramMappings:t}}var Tr=(e=>(e.FEMALE="female",e.MALE="male",e))(Tr||{});var He=class extends A{constructor(e=new _r(2)){super("AgeGenderNet");this._faceFeatureExtractor=e}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return ft.tidy(()=>{let n=e instanceof ut?this.faceFeatureExtractor.forwardInput(e):e,a=ft.avgPool(n,[7,7],[2,2],"valid").as2D(n.shape[0],-1),s=$e(a,r.fc.age).as1D(),i=$e(a,r.fc.gender);return{age:s,gender:i}})}forwardInput(e){return ft.tidy(()=>{let{age:r,gender:n}=this.runNet(e);return{age:r,gender:ft.softmax(n)}})}async forward(e){return this.forwardInput(await C(e))}async predictAgeAndGender(e){let r=await C(e),n=await this.forwardInput(r),a=ft.unstack(n.age),s=ft.unstack(n.gender),i=a.map((m,p)=>({ageTensor:m,genderTensor:s[p]})),c=await Promise.all(i.map(async({ageTensor:m,genderTensor:p})=>{let u=m.dataSync()[0],f=p.dataSync()[0],l=f>.5,g=l?"male":"female",T=l?f:1-f;return m.dispose(),p.dispose(),{age:u,gender:g,genderProbability:T}}));return n.age.dispose(),n.gender.dispose(),r.isBatchInput?c:c[0]}getDefaultModelName(){return"age_gender_model"}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:n}=this.extractClassifierParams(e);this._params=r,this._paramMappings=n}extractClassifierParams(e){return Wo(e)}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:n}=gr(e);return this.faceFeatureExtractor.loadFromWeightMap(r),ko(n)}extractParams(e){let n=e.slice(0,e.length-1539),a=e.slice(e.length-1539);return this.faceFeatureExtractor.extractWeights(n),this.extractClassifierParams(a)}};var G=v(x());var Fe=class extends Te{postProcess(t,e,r){let n=r.map(({width:s,height:i})=>{let c=e/Math.max(i,s);return{width:s*c,height:i*c}}),a=n.length;return G.tidy(()=>{let s=(u,f)=>G.stack([G.fill([68],u,"float32"),G.fill([68],f,"float32")],1).as2D(1,136).as1D(),i=(u,f)=>{let{width:l,height:g}=n[u];return f(l,g)?Math.abs(l-g)/2:0},c=u=>i(u,(f,l)=>fi(u,(f,l)=>ls(c(f),m(f))))).div(G.stack(Array.from(Array(a),(u,f)=>s(n[f].width,n[f].height))))})}forwardInput(t){return G.tidy(()=>{let e=this.runNet(t);return this.postProcess(e,t.inputSize,t.inputDimensions.map(([r,n])=>({height:r,width:n})))})}async forward(t){return this.forwardInput(await C(t))}async detectLandmarks(t){let e=await C(t),r=G.tidy(()=>G.unstack(this.forwardInput(e))),n=await Promise.all(r.map(async(a,s)=>{let i=Array.from(a.dataSync()),c=i.filter((p,u)=>rr(u)),m=i.filter((p,u)=>!rr(u));return new Gt(Array(68).fill(0).map((p,u)=>new b(c[u],m[u])),{height:e.getInputHeight(s),width:e.getInputWidth(s)})}));return r.forEach(a=>a.dispose()),e.isBatchInput?n:n[0]}getClassifierChannelsOut(){return 136}};var Kt=class extends Fe{constructor(t=new ve){super("FaceLandmark68Net",t)}getDefaultModelName(){return"face_landmark_68_model"}getClassifierChannelsIn(){return 256}};var De=v(x());function Bo(o){let t=[],{extractDenseBlock3Params:e}=br(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2")};return B(o,t),{params:r,paramMappings:t}}function Ro(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractDenseBlock3Params:n}=dr(e,t),a=n(3,32,"dense0",!0),s=n(32,64,"dense1"),i=n(64,128,"dense2");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:a,dense1:s,dense2:i}}}var Pr=class extends A{constructor(){super("TinyFaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("TinyFaceFeatureExtractor - load model before inference");return De.tidy(()=>{let r=De.cast(t.toBatchTensor(112,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=pr(a,e.dense0,!0);return s=pr(s,e.dense1),s=pr(s,e.dense2),s=De.avgPool(s,[14,14],[2,2],"valid"),s})}async forward(t){return this.forwardInput(await C(t))}getDefaultModelName(){return"face_feature_extractor_tiny_model"}extractParamsFromWeightMap(t){return Bo(t)}extractParams(t){return Ro(t)}};var ze=class extends Fe{constructor(t=new Pr){super("FaceLandmark68TinyNet",t)}getDefaultModelName(){return"face_landmark_68_tiny_model"}getClassifierChannelsIn(){return 128}};var co=class extends Kt{};var nt=v(x());var Ee=v(x());var wr=v(x());function $o(o,t){return wr.add(wr.mul(o,t.weights),t.biases)}function mo(o,t,e,r,n="same"){let{filters:a,bias:s}=t.conv,i=Ee.conv2d(o,a,e,n);return i=Ee.add(i,s),i=$o(i,t.scale),r?Ee.relu(i):i}function Oo(o,t){return mo(o,t,[1,1],!0)}function po(o,t){return mo(o,t,[1,1],!1)}function Fr(o,t){return mo(o,t,[2,2],!0,"valid")}var j=v(x());function jn(o,t){function e(i,c,m){let p=o(i),u=p.length/(c*m*m);if(Br(u))throw new Error(`depth has to be an integer: ${u}, weights.length: ${p.length}, numFilters: ${c}, filterSize: ${m}`);return j.tidy(()=>j.transpose(j.tensor4d(p,[c,u,m,m]),[2,3,1,0]))}function r(i,c,m,p){let u=e(i,c,m),f=j.tensor1d(o(c));return t.push({paramPath:`${p}/filters`},{paramPath:`${p}/bias`}),{filters:u,bias:f}}function n(i,c){let m=j.tensor1d(o(i)),p=j.tensor1d(o(i));return t.push({paramPath:`${c}/weights`},{paramPath:`${c}/biases`}),{weights:m,biases:p}}function a(i,c,m,p){let u=r(i,c,m,`${p}/conv`),f=n(c,`${p}/scale`);return{conv:u,scale:f}}function s(i,c,m,p,u=!1){let f=a((u?.5:1)*i,c,m,`${p}/conv1`),l=a(i,c,m,`${p}/conv2`);return{conv1:f,conv2:l}}return{extractConvLayerParams:a,extractResidualLayerParams:s}}function Ho(o){let{extractWeights:t,getRemainingWeights:e}=R(o),r=[],{extractConvLayerParams:n,extractResidualLayerParams:a}=jn(t,r),s=n(4704,32,7,"conv32_down"),i=a(9216,32,3,"conv32_1"),c=a(9216,32,3,"conv32_2"),m=a(9216,32,3,"conv32_3"),p=a(36864,64,3,"conv64_down",!0),u=a(36864,64,3,"conv64_1"),f=a(36864,64,3,"conv64_2"),l=a(36864,64,3,"conv64_3"),g=a(147456,128,3,"conv128_down",!0),T=a(147456,128,3,"conv128_1"),D=a(147456,128,3,"conv128_2"),h=a(589824,256,3,"conv256_down",!0),_=a(589824,256,3,"conv256_1"),y=a(589824,256,3,"conv256_2"),E=a(589824,256,3,"conv256_down_out"),W=j.tidy(()=>j.transpose(j.tensor2d(t(256*128),[128,256]),[1,0]));if(r.push({paramPath:"fc"}),e().length!==0)throw new Error(`weights remaing after extract: ${e().length}`);return{params:{conv32_down:s,conv32_1:i,conv32_2:c,conv32_3:m,conv64_down:p,conv64_1:u,conv64_2:f,conv64_3:l,conv128_down:g,conv128_1:T,conv128_2:D,conv256_down:h,conv256_1:_,conv256_2:y,conv256_down_out:E,fc:W},paramMappings:r}}function Un(o,t){let e=Y(o,t);function r(s){let i=e(`${s}/scale/weights`,1),c=e(`${s}/scale/biases`,1);return{weights:i,biases:c}}function n(s){let i=e(`${s}/conv/filters`,4),c=e(`${s}/conv/bias`,1),m=r(s);return{conv:{filters:i,bias:c},scale:m}}function a(s){return{conv1:n(`${s}/conv1`),conv2:n(`${s}/conv2`)}}return{extractConvLayerParams:n,extractResidualLayerParams:a}}function zo(o){let t=[],{extractConvLayerParams:e,extractResidualLayerParams:r}=Un(o,t),n=e("conv32_down"),a=r("conv32_1"),s=r("conv32_2"),i=r("conv32_3"),c=r("conv64_down"),m=r("conv64_1"),p=r("conv64_2"),u=r("conv64_3"),f=r("conv128_down"),l=r("conv128_1"),g=r("conv128_2"),T=r("conv256_down"),D=r("conv256_1"),h=r("conv256_2"),_=r("conv256_down_out"),{fc:y}=o;if(t.push({originalPath:"fc",paramPath:"fc"}),!kr(y))throw new Error(`expected weightMap[fc] to be a Tensor2D, instead have ${y}`);let E={conv32_down:n,conv32_1:a,conv32_2:s,conv32_3:i,conv64_down:c,conv64_1:m,conv64_2:p,conv64_3:u,conv128_down:f,conv128_1:l,conv128_2:g,conv256_down:T,conv256_1:D,conv256_2:h,conv256_down_out:_,fc:y};return B(o,t),{params:E,paramMappings:t}}var $=v(x());function ot(o,t){let e=Oo(o,t.conv1);return e=po(e,t.conv2),e=$.add(e,o),e=$.relu(e),e}function Ve(o,t){let e=Fr(o,t.conv1);e=po(e,t.conv2);let r=$.avgPool(o,2,2,"valid"),n=$.zeros(r.shape),a=r.shape[3]!==e.shape[3];if(r.shape[1]!==e.shape[1]||r.shape[2]!==e.shape[2]){let i=[...e.shape];i[1]=1;let c=$.zeros(i);e=$.concat([e,c],1);let m=[...e.shape];m[2]=1;let p=$.zeros(m);e=$.concat([e,p],2)}return r=a?$.concat([r,n],3):r,e=$.add(r,e),e=$.relu(e),e}var Qt=class extends A{constructor(){super("FaceRecognitionNet")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceRecognitionNet - load model before inference");return nt.tidy(()=>{let r=nt.cast(t.toBatchTensor(150,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=Fr(a,e.conv32_down);s=nt.maxPool(s,3,2,"valid"),s=ot(s,e.conv32_1),s=ot(s,e.conv32_2),s=ot(s,e.conv32_3),s=Ve(s,e.conv64_down),s=ot(s,e.conv64_1),s=ot(s,e.conv64_2),s=ot(s,e.conv64_3),s=Ve(s,e.conv128_down),s=ot(s,e.conv128_1),s=ot(s,e.conv128_2),s=Ve(s,e.conv256_down),s=ot(s,e.conv256_1),s=ot(s,e.conv256_2),s=Ve(s,e.conv256_down_out);let i=s.mean([1,2]);return nt.matMul(i,e.fc)})}async forward(t){return this.forwardInput(await C(t))}async computeFaceDescriptor(t){var a;if((a=t==null?void 0:t.shape)!=null&&a.some(s=>s<=0))return new Float32Array(128);let e=await C(t),r=nt.tidy(()=>nt.unstack(this.forwardInput(e))),n=await Promise.all(r.map(s=>s.data()));return r.forEach(s=>s.dispose()),e.isBatchInput?n:n[0]}getDefaultModelName(){return"face_recognition_model"}extractParamsFromWeightMap(t){return zo(t)}extractParams(t){return Ho(t)}};function Xn(o){let t=new Qt;return t.extractWeights(o),t}function Dr(o,t){return{...o,...{descriptor:t}}}function Jn(o){return typeof o.age=="number"}function Er(o,t){return{...o,...{age:t}}}function qn(o){return(o.gender==="male"||o.gender==="female")&&me(o.genderProbability)}function Mr(o,t,e){return{...o,...{gender:t,genderProbability:e}}}var Lt=v(x());var at=v(x());function Zn(o,t){function e(c,m){let p=at.tensor4d(o(9*c),[3,3,c,1]),u=at.tensor1d(o(c)),f=at.tensor1d(o(c)),l=at.tensor1d(o(c)),g=at.tensor1d(o(c));return t.push({paramPath:`${m}/filters`},{paramPath:`${m}/batch_norm_scale`},{paramPath:`${m}/batch_norm_offset`},{paramPath:`${m}/batch_norm_mean`},{paramPath:`${m}/batch_norm_variance`}),{filters:p,batch_norm_scale:u,batch_norm_offset:f,batch_norm_mean:l,batch_norm_variance:g}}function r(c,m,p,u,f){let l=at.tensor4d(o(c*m*p*p),[p,p,c,m]),g=at.tensor1d(o(m));return t.push({paramPath:`${u}/filters`},{paramPath:`${u}/${f?"batch_norm_offset":"bias"}`}),{filters:l,bias:g}}function n(c,m,p,u){let{filters:f,bias:l}=r(c,m,p,u,!0);return{filters:f,batch_norm_offset:l}}function a(c,m,p){let u=e(c,`${p}/depthwise_conv`),f=n(c,m,1,`${p}/pointwise_conv`);return{depthwise_conv:u,pointwise_conv:f}}function s(){let c=n(3,32,3,"mobilenetv1/conv_0"),m=a(32,64,"mobilenetv1/conv_1"),p=a(64,128,"mobilenetv1/conv_2"),u=a(128,128,"mobilenetv1/conv_3"),f=a(128,256,"mobilenetv1/conv_4"),l=a(256,256,"mobilenetv1/conv_5"),g=a(256,512,"mobilenetv1/conv_6"),T=a(512,512,"mobilenetv1/conv_7"),D=a(512,512,"mobilenetv1/conv_8"),h=a(512,512,"mobilenetv1/conv_9"),_=a(512,512,"mobilenetv1/conv_10"),y=a(512,512,"mobilenetv1/conv_11"),E=a(512,1024,"mobilenetv1/conv_12"),W=a(1024,1024,"mobilenetv1/conv_13");return{conv_0:c,conv_1:m,conv_2:p,conv_3:u,conv_4:f,conv_5:l,conv_6:g,conv_7:T,conv_8:D,conv_9:h,conv_10:_,conv_11:y,conv_12:E,conv_13:W}}function i(){let c=n(1024,256,1,"prediction_layer/conv_0"),m=n(256,512,3,"prediction_layer/conv_1"),p=n(512,128,1,"prediction_layer/conv_2"),u=n(128,256,3,"prediction_layer/conv_3"),f=n(256,128,1,"prediction_layer/conv_4"),l=n(128,256,3,"prediction_layer/conv_5"),g=n(256,64,1,"prediction_layer/conv_6"),T=n(64,128,3,"prediction_layer/conv_7"),D=r(512,12,1,"prediction_layer/box_predictor_0/box_encoding_predictor"),h=r(512,9,1,"prediction_layer/box_predictor_0/class_predictor"),_=r(1024,24,1,"prediction_layer/box_predictor_1/box_encoding_predictor"),y=r(1024,18,1,"prediction_layer/box_predictor_1/class_predictor"),E=r(512,24,1,"prediction_layer/box_predictor_2/box_encoding_predictor"),W=r(512,18,1,"prediction_layer/box_predictor_2/class_predictor"),tt=r(256,24,1,"prediction_layer/box_predictor_3/box_encoding_predictor"),lt=r(256,18,1,"prediction_layer/box_predictor_3/class_predictor"),q=r(256,24,1,"prediction_layer/box_predictor_4/box_encoding_predictor"),Dt=r(256,18,1,"prediction_layer/box_predictor_4/class_predictor"),Et=r(128,24,1,"prediction_layer/box_predictor_5/box_encoding_predictor"),Mt=r(128,18,1,"prediction_layer/box_predictor_5/class_predictor");return{conv_0:c,conv_1:m,conv_2:p,conv_3:u,conv_4:f,conv_5:l,conv_6:g,conv_7:T,box_predictor_0:{box_encoding_predictor:D,class_predictor:h},box_predictor_1:{box_encoding_predictor:_,class_predictor:y},box_predictor_2:{box_encoding_predictor:E,class_predictor:W},box_predictor_3:{box_encoding_predictor:tt,class_predictor:lt},box_predictor_4:{box_encoding_predictor:q,class_predictor:Dt},box_predictor_5:{box_encoding_predictor:Et,class_predictor:Mt}}}return{extractMobilenetV1Params:s,extractPredictionLayerParams:i}}function Vo(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractMobilenetV1Params:n,extractPredictionLayerParams:a}=Zn(e,t),s=n(),i=a(),m={extra_dim:at.tensor3d(e(5118*4),[1,5118,4])};if(t.push({paramPath:"output_layer/extra_dim"}),r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{params:{mobilenetv1:s,prediction_layer:i,output_layer:m},paramMappings:t}}function Kn(o,t){let e=Y(o,t);function r(m,p,u){let f=e(`${m}/Conv2d_${p}_pointwise/weights`,4,`${u}/filters`),l=e(`${m}/Conv2d_${p}_pointwise/convolution_bn_offset`,1,`${u}/batch_norm_offset`);return{filters:f,batch_norm_offset:l}}function n(m){let p=`mobilenetv1/conv_${m}`,u=`MobilenetV1/Conv2d_${m}_depthwise`,f=`${p}/depthwise_conv`,l=`${p}/pointwise_conv`,g=e(`${u}/depthwise_weights`,4,`${f}/filters`),T=e(`${u}/BatchNorm/gamma`,1,`${f}/batch_norm_scale`),D=e(`${u}/BatchNorm/beta`,1,`${f}/batch_norm_offset`),h=e(`${u}/BatchNorm/moving_mean`,1,`${f}/batch_norm_mean`),_=e(`${u}/BatchNorm/moving_variance`,1,`${f}/batch_norm_variance`);return{depthwise_conv:{filters:g,batch_norm_scale:T,batch_norm_offset:D,batch_norm_mean:h,batch_norm_variance:_},pointwise_conv:r("MobilenetV1",m,l)}}function a(){return{conv_0:r("MobilenetV1",0,"mobilenetv1/conv_0"),conv_1:n(1),conv_2:n(2),conv_3:n(3),conv_4:n(4),conv_5:n(5),conv_6:n(6),conv_7:n(7),conv_8:n(8),conv_9:n(9),conv_10:n(10),conv_11:n(11),conv_12:n(12),conv_13:n(13)}}function s(m,p){let u=e(`${m}/weights`,4,`${p}/filters`),f=e(`${m}/biases`,1,`${p}/bias`);return{filters:u,bias:f}}function i(m){let p=s(`Prediction/BoxPredictor_${m}/BoxEncodingPredictor`,`prediction_layer/box_predictor_${m}/box_encoding_predictor`),u=s(`Prediction/BoxPredictor_${m}/ClassPredictor`,`prediction_layer/box_predictor_${m}/class_predictor`);return{box_encoding_predictor:p,class_predictor:u}}function c(){return{conv_0:r("Prediction",0,"prediction_layer/conv_0"),conv_1:r("Prediction",1,"prediction_layer/conv_1"),conv_2:r("Prediction",2,"prediction_layer/conv_2"),conv_3:r("Prediction",3,"prediction_layer/conv_3"),conv_4:r("Prediction",4,"prediction_layer/conv_4"),conv_5:r("Prediction",5,"prediction_layer/conv_5"),conv_6:r("Prediction",6,"prediction_layer/conv_6"),conv_7:r("Prediction",7,"prediction_layer/conv_7"),box_predictor_0:i(0),box_predictor_1:i(1),box_predictor_2:i(2),box_predictor_3:i(3),box_predictor_4:i(4),box_predictor_5:i(5)}}return{extractMobilenetV1Params:a,extractPredictionLayerParams:c}}function Yo(o){let t=[],{extractMobilenetV1Params:e,extractPredictionLayerParams:r}=Kn(o,t),n=o["Output/extra_dim"];if(t.push({originalPath:"Output/extra_dim",paramPath:"output_layer/extra_dim"}),!ht(n))throw new Error(`expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have ${n}`);let a={mobilenetv1:e(),prediction_layer:r(),output_layer:{extra_dim:n}};return B(o,t),{params:a,paramMappings:t}}var _t=v(x());var Nt=v(x());function Z(o,t,e){return Nt.tidy(()=>{let r=Nt.conv2d(o,t.filters,e,"same");return r=Nt.add(r,t.batch_norm_offset),Nt.clipByValue(r,0,6)})}var Qn=.0010000000474974513;function ta(o,t,e){return _t.tidy(()=>{let r=_t.depthwiseConv2d(o,t.filters,e,"same");return r=_t.batchNorm(r,t.batch_norm_mean,t.batch_norm_variance,t.batch_norm_offset,t.batch_norm_scale,Qn),_t.clipByValue(r,0,6)})}function ea(o){return[2,4,6,12].some(t=>t===o)?[2,2]:[1,1]}function Go(o,t){return _t.tidy(()=>{let e,r=Z(o,t.conv_0,[2,2]);if([t.conv_1,t.conv_2,t.conv_3,t.conv_4,t.conv_5,t.conv_6,t.conv_7,t.conv_8,t.conv_9,t.conv_10,t.conv_11,t.conv_12,t.conv_13].forEach((a,s)=>{let i=s+1,c=ea(i);r=ta(r,a.depthwise_conv,c),r=Z(r,a.pointwise_conv,[1,1]),i===11&&(e=r)}),e===null)throw new Error("mobileNetV1 - output of conv layer 11 is null");return{out:r,conv11:e}})}function ra(o,t,e){let r=o.arraySync(),n=Math.min(r[t][0],r[t][2]),a=Math.min(r[t][1],r[t][3]),s=Math.max(r[t][0],r[t][2]),i=Math.max(r[t][1],r[t][3]),c=Math.min(r[e][0],r[e][2]),m=Math.min(r[e][1],r[e][3]),p=Math.max(r[e][0],r[e][2]),u=Math.max(r[e][1],r[e][3]),f=(s-n)*(i-a),l=(p-c)*(u-m);if(f<=0||l<=0)return 0;let g=Math.max(n,c),T=Math.max(a,m),D=Math.min(s,p),h=Math.min(i,u),_=Math.max(D-g,0)*Math.max(h-T,0);return _/(f+l-_)}function jo(o,t,e,r,n){let a=o.shape[0],s=Math.min(e,a),i=t.map((p,u)=>({score:p,boxIndex:u})).filter(p=>p.score>n).sort((p,u)=>u.score-p.score),c=p=>p<=r?1:0,m=[];return i.forEach(p=>{if(m.length>=s)return;let u=p.score;for(let f=m.length-1;f>=0;--f){let l=ra(o,p.boxIndex,m[f]);if(l!==0&&(p.score*=c(l),p.score<=n))break}u===p.score&&m.push(p.boxIndex)}),m}var d=v(x());function oa(o){let t=d.unstack(d.transpose(o,[1,0])),e=[d.sub(t[2],t[0]),d.sub(t[3],t[1])],r=[d.add(t[0],d.div(e[0],2)),d.add(t[1],d.div(e[1],2))];return{sizes:e,centers:r}}function na(o,t){let{sizes:e,centers:r}=oa(o),n=d.unstack(d.transpose(t,[1,0])),a=d.div(d.mul(d.exp(d.div(n[2],5)),e[0]),2),s=d.add(d.mul(d.div(n[0],10),e[0]),r[0]),i=d.div(d.mul(d.exp(d.div(n[3],5)),e[1]),2),c=d.add(d.mul(d.div(n[1],10),e[1]),r[1]);return d.transpose(d.stack([d.sub(s,a),d.sub(c,i),d.add(s,a),d.add(c,i)]),[1,0])}function Uo(o,t,e){return d.tidy(()=>{let r=o.shape[0],n=na(d.reshape(d.tile(e.extra_dim,[r,1,1]),[-1,4]),d.reshape(o,[-1,4]));n=d.reshape(n,[r,n.shape[0]/r,4]);let a=d.sigmoid(d.slice(t,[0,0,1],[-1,-1,-1])),s=d.slice(a,[0,0,0],[-1,-1,1]);s=d.reshape(s,[r,s.shape[1]]);let i=d.unstack(n),c=d.unstack(s);return{boxes:i,scores:c}})}var Ge=v(x());var Ye=v(x());function te(o,t){return Ye.tidy(()=>{let e=o.shape[0],r=Ye.reshape(qt(o,t.box_encoding_predictor),[e,-1,1,4]),n=Ye.reshape(qt(o,t.class_predictor),[e,-1,3]);return{boxPredictionEncoding:r,classPrediction:n}})}function Xo(o,t,e){return Ge.tidy(()=>{let r=Z(o,e.conv_0,[1,1]),n=Z(r,e.conv_1,[2,2]),a=Z(n,e.conv_2,[1,1]),s=Z(a,e.conv_3,[2,2]),i=Z(s,e.conv_4,[1,1]),c=Z(i,e.conv_5,[2,2]),m=Z(c,e.conv_6,[1,1]),p=Z(m,e.conv_7,[2,2]),u=te(t,e.box_predictor_0),f=te(o,e.box_predictor_1),l=te(n,e.box_predictor_2),g=te(s,e.box_predictor_3),T=te(c,e.box_predictor_4),D=te(p,e.box_predictor_5),h=Ge.concat([u.boxPredictionEncoding,f.boxPredictionEncoding,l.boxPredictionEncoding,g.boxPredictionEncoding,T.boxPredictionEncoding,D.boxPredictionEncoding],1),_=Ge.concat([u.classPrediction,f.classPrediction,l.classPrediction,g.classPrediction,T.classPrediction,D.classPrediction],1);return{boxPredictions:h,classPredictions:_}})}var X=class{constructor({minConfidence:t,maxResults:e}={}){this._name="SsdMobilenetv1Options";if(this._minConfidence=t||.5,this._maxResults=e||100,typeof this._minConfidence!="number"||this._minConfidence<=0||this._minConfidence>=1)throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);if(typeof this._maxResults!="number")throw new Error(`${this._name} - expected maxResults to be a number`)}get minConfidence(){return this._minConfidence}get maxResults(){return this._maxResults}};var St=class extends A{constructor(){super("SsdMobilenetv1")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("SsdMobilenetv1 - load model before inference");return Lt.tidy(()=>{let r=Lt.cast(t.toBatchTensor(512,!1),"float32"),n=Lt.sub(Lt.div(r,127.5),1),a=Go(n,e.mobilenetv1),{boxPredictions:s,classPredictions:i}=Xo(a.out,a.conv11,e.prediction_layer);return Uo(s,i,e.output_layer)})}async forward(t){return this.forwardInput(await C(t))}async locateFaces(t,e={}){let{maxResults:r,minConfidence:n}=new X(e),a=await C(t),{boxes:s,scores:i}=this.forwardInput(a),c=s[0],m=i[0];for(let y=1;y{let[E,W]=[Math.max(0,h[y][0]),Math.min(1,h[y][2])].map(q=>q*D),[tt,lt]=[Math.max(0,h[y][1]),Math.min(1,h[y][3])].map(q=>q*T);return new M(p[y],new Yt(tt,E,lt-tt,W-E),{height:a.getInputHeight(0),width:a.getInputWidth(0)})});return c.dispose(),m.dispose(),_}getDefaultModelName(){return"ssd_mobilenetv1_model"}extractParamsFromWeightMap(t){return Yo(t)}extractParams(t){return Vo(t)}};function Jo(o){let t=new St;return t.extractWeights(o),t}function aa(o){return Jo(o)}var uo=class extends St{};var qo=.4,Zo=[new b(.738768,.874946),new b(2.42204,2.65704),new b(4.30971,7.04493),new b(10.246,4.59428),new b(12.6868,11.8741)],Ko=[new b(1.603231,2.094468),new b(6.041143,7.080126),new b(2.882459,3.518061),new b(4.266906,5.178857),new b(9.041765,10.66308)],Qo=[117.001,114.697,97.404],tn="tiny_yolov2_model",en="tiny_yolov2_separable_conv_model";var N=v(x());var Cr=o=>typeof o=="number";function fo(o){if(!o)throw new Error(`invalid config: ${o}`);if(typeof o.withSeparableConvs!="boolean")throw new Error(`config.withSeparableConvs has to be a boolean, have: ${o.withSeparableConvs}`);if(!Cr(o.iouThreshold)||o.iouThreshold<0||o.iouThreshold>1)throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${o.iouThreshold}`);if(!Array.isArray(o.classes)||!o.classes.length||!o.classes.every(t=>typeof t=="string"))throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(o.classes)}`);if(!Array.isArray(o.anchors)||!o.anchors.length||!o.anchors.map(t=>t||{}).every(t=>Cr(t.x)&&Cr(t.y)))throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(o.anchors)}`);if(o.meanRgb&&(!Array.isArray(o.meanRgb)||o.meanRgb.length!==3||!o.meanRgb.every(Cr)))throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(o.meanRgb)}`)}var Q=v(x());var K=v(x());function Me(o){return K.tidy(()=>{let t=K.mul(o,K.scalar(.10000000149011612));return K.add(K.relu(K.sub(o,t)),t)})}function Tt(o,t){return Q.tidy(()=>{let e=Q.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=Q.conv2d(e,t.conv.filters,[1,1],"valid"),e=Q.sub(e,t.bn.sub),e=Q.mul(e,t.bn.truediv),e=Q.add(e,t.conv.bias),Me(e)})}var At=v(x());function Pt(o,t){return At.tidy(()=>{let e=At.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=At.separableConv2d(e,t.depthwise_filter,t.pointwise_filter,[1,1],"valid"),e=At.add(e,t.bias),Me(e)})}var lo=v(x());function sa(o,t){let e=be(o,t);function r(s,i){let c=lo.tensor1d(o(s)),m=lo.tensor1d(o(s));return t.push({paramPath:`${i}/sub`},{paramPath:`${i}/truediv`}),{sub:c,truediv:m}}function n(s,i,c){let m=e(s,i,3,`${c}/conv`),p=r(i,`${c}/bn`);return{conv:m,bn:p}}let a=ge(o,t);return{extractConvParams:e,extractConvWithBatchNormParams:n,extractSeparableConvParams:a}}function rn(o,t,e,r){let{extractWeights:n,getRemainingWeights:a}=R(o),s=[],{extractConvParams:i,extractConvWithBatchNormParams:c,extractSeparableConvParams:m}=sa(n,s),p;if(t.withSeparableConvs){let[u,f,l,g,T,D,h,_,y]=r,E=t.isFirstLayerConv2d?i(u,f,3,"conv0"):m(u,f,"conv0"),W=m(f,l,"conv1"),tt=m(l,g,"conv2"),lt=m(g,T,"conv3"),q=m(T,D,"conv4"),Dt=m(D,h,"conv5"),Et=_?m(h,_,"conv6"):void 0,Mt=y?m(_,y,"conv7"):void 0,$t=i(y||_||h,5*e,1,"conv8");p={conv0:E,conv1:W,conv2:tt,conv3:lt,conv4:q,conv5:Dt,conv6:Et,conv7:Mt,conv8:$t}}else{let[u,f,l,g,T,D,h,_,y]=r,E=c(u,f,"conv0"),W=c(f,l,"conv1"),tt=c(l,g,"conv2"),lt=c(g,T,"conv3"),q=c(T,D,"conv4"),Dt=c(D,h,"conv5"),Et=c(h,_,"conv6"),Mt=c(_,y,"conv7"),$t=i(y,5*e,1,"conv8");p={conv0:E,conv1:W,conv2:tt,conv3:lt,conv4:q,conv5:Dt,conv6:Et,conv7:Mt,conv8:$t}}if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{params:p,paramMappings:s}}function ia(o,t){let e=Y(o,t);function r(i){let c=e(`${i}/sub`,1),m=e(`${i}/truediv`,1);return{sub:c,truediv:m}}function n(i){let c=e(`${i}/filters`,4),m=e(`${i}/bias`,1);return{filters:c,bias:m}}function a(i){let c=n(`${i}/conv`),m=r(`${i}/bn`);return{conv:c,bn:m}}let s=xe(e);return{extractConvParams:n,extractConvWithBatchNormParams:a,extractSeparableConvParams:s}}function on(o,t){let e=[],{extractConvParams:r,extractConvWithBatchNormParams:n,extractSeparableConvParams:a}=ia(o,e),s;if(t.withSeparableConvs){let i=t.filterSizes&&t.filterSizes.length||9;s={conv0:t.isFirstLayerConv2d?r("conv0"):a("conv0"),conv1:a("conv1"),conv2:a("conv2"),conv3:a("conv3"),conv4:a("conv4"),conv5:a("conv5"),conv6:i>7?a("conv6"):void 0,conv7:i>8?a("conv7"):void 0,conv8:r("conv8")}}else s={conv0:n("conv0"),conv1:n("conv1"),conv2:n("conv2"),conv3:n("conv3"),conv4:n("conv4"),conv5:n("conv5"),conv6:n("conv6"),conv7:n("conv7"),conv8:r("conv8")};return B(o,e),{params:s,paramMappings:e}}var st=class{constructor({inputSize:t,scoreThreshold:e}={}){this._name="TinyYolov2Options";if(this._inputSize=t||416,this._scoreThreshold=e||.5,typeof this._inputSize!="number"||this._inputSize%32!==0)throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);if(typeof this._scoreThreshold!="number"||this._scoreThreshold<=0||this._scoreThreshold>=1)throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`)}get inputSize(){return this._inputSize}get scoreThreshold(){return this._scoreThreshold}};var ho=class extends A{constructor(e){super("TinyYolov2");fo(e),this._config=e}get config(){return this._config}get withClassScores(){return this.config.withClassScores||this.config.classes.length>1}get boxEncodingSize(){return 5+(this.withClassScores?this.config.classes.length:0)}runTinyYolov2(e,r){let n=Tt(e,r.conv0);return n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv1),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv2),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv3),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv4),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv5),n=N.maxPool(n,[2,2],[1,1],"same"),n=Tt(n,r.conv6),n=Tt(n,r.conv7),qt(n,r.conv8,"valid",!1)}runMobilenet(e,r){let n=this.config.isFirstLayerConv2d?Me(qt(e,r.conv0,"valid",!1)):Pt(e,r.conv0);return n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv1),n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv2),n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv3),n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv4),n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv5),n=N.maxPool(n,[2,2],[1,1],"same"),n=r.conv6?Pt(n,r.conv6):n,n=r.conv7?Pt(n,r.conv7):n,qt(n,r.conv8,"valid",!1)}forwardInput(e,r){let{params:n}=this;if(!n)throw new Error("TinyYolov2 - load model before inference");return N.tidy(()=>{let a=N.cast(e.toBatchTensor(r,!1),"float32");return a=this.config.meanRgb?rt(a,this.config.meanRgb):a,a=a.div(255),this.config.withSeparableConvs?this.runMobilenet(a,n):this.runTinyYolov2(a,n)})}async forward(e,r){return this.forwardInput(await C(e),r)}async detect(e,r={}){let{inputSize:n,scoreThreshold:a}=new st(r),s=await C(e),i=await this.forwardInput(s,n),c=N.tidy(()=>N.unstack(i)[0].expandDims()),m={width:s.getInputWidth(0),height:s.getInputHeight(0)},p=await this.extractBoxes(c,s.getReshapedInputDimensions(0),a);i.dispose(),c.dispose();let u=p.map(h=>h.box),f=p.map(h=>h.score),l=p.map(h=>h.classScore),g=p.map(h=>this.config.classes[h.label]);return zr(u.map(h=>h.rescale(n)),f,this.config.iouThreshold,!0).map(h=>new bt(f[h],l[h],g[h],u[h],m))}getDefaultModelName(){return""}extractParamsFromWeightMap(e){return on(e,this.config)}extractParams(e){let r=this.config.filterSizes||ho.DEFAULT_FILTER_SIZES,n=r?r.length:void 0;if(n!==7&&n!==8&&n!==9)throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${n} filterSizes in config`);return rn(e,this.config,this.boxEncodingSize,r)}async extractBoxes(e,r,n){let{width:a,height:s}=r,i=Math.max(a,s),c=i/a,m=i/s,p=e.shape[1],u=this.config.anchors.length,[f,l,g]=N.tidy(()=>{let _=e.reshape([p,p,u,this.boxEncodingSize]),y=_.slice([0,0,0,0],[p,p,u,4]),E=_.slice([0,0,0,4],[p,p,u,1]),W=this.withClassScores?N.softmax(_.slice([0,0,0,5],[p,p,u,this.config.classes.length]),3):N.scalar(0);return[y,E,W]}),T=[],D=await l.array(),h=await f.array();for(let _=0;_n){let tt=(y+Ne(h[_][y][E][0]))/p*c,lt=(_+Ne(h[_][y][E][1]))/p*m,q=Math.exp(h[_][y][E][2])*this.config.anchors[E].x/p*c,Dt=Math.exp(h[_][y][E][3])*this.config.anchors[E].y/p*m,Et=tt-q/2,Mt=lt-Dt/2,$t={row:_,col:y,anchor:E},{classScore:xo,label:vo}=this.withClassScores?await this.extractPredictedClass(g,$t):{classScore:1,label:0};T.push({box:new Vt(Et,Mt,Et+q,Mt+Dt),score:W,classScore:W*xo,label:vo,...$t})}}return f.dispose(),l.dispose(),g.dispose(),T}async extractPredictedClass(e,r){let{row:n,col:a,anchor:s}=r,i=await e.array();return Array(this.config.classes.length).fill(0).map((c,m)=>i[n][a][s][m]).map((c,m)=>({classScore:c,label:m})).reduce((c,m)=>c.classScore>m.classScore?c:m)}},ee=ho;ee.DEFAULT_FILTER_SIZES=[3,16,32,64,128,256,512,1024,1024];var re=class extends ee{constructor(t=!0){let e={withSeparableConvs:t,iouThreshold:qo,classes:["face"],...t?{anchors:Ko,meanRgb:Qo}:{anchors:Zo,withClassScores:!0}};super(e)}get withSeparableConvs(){return this.config.withSeparableConvs}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(n=>new M(n.score,n.relativeBox,{width:n.imageWidth,height:n.imageHeight}))}getDefaultModelName(){return this.withSeparableConvs?en:tn}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};function ca(o,t=!0){let e=new re(t);return e.extractWeights(o),e}var je=class extends st{constructor(){super(...arguments);this._name="TinyFaceDetectorOptions"}};var J=class{async then(t){return t(await this.run())}async run(){throw new Error("ComposableTask - run is not implemented")}};var Xe=v(x());var bo=v(x());async function oe(o,t,e,r,n=({alignedRect:a})=>a){let a=o.map(c=>Zt(c)?n(c):c.detection),s=r||(t instanceof bo.Tensor?await de(t,a):await le(t,a)),i=await e(s);return s.forEach(c=>c instanceof bo.Tensor&&c.dispose()),i}async function Ce(o,t,e,r,n){return oe([o],t,async a=>e(a[0]),r,n)}var nn=.4,an=[new b(1.603231,2.094468),new b(6.041143,7.080126),new b(2.882459,3.518061),new b(4.266906,5.178857),new b(9.041765,10.66308)],sn=[117.001,114.697,97.404];var ne=class extends ee{constructor(){let t={withSeparableConvs:!0,iouThreshold:nn,classes:["face"],anchors:an,meanRgb:sn,isFirstLayerConv2d:!0,filterSizes:[3,16,32,64,128,256,512]};super(t)}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(n=>new M(n.score,n.relativeBox,{width:n.imageWidth,height:n.imageHeight}))}getDefaultModelName(){return"tiny_face_detector_model"}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};var w={ssdMobilenetv1:new St,tinyFaceDetector:new ne,tinyYolov2:new re,faceLandmark68Net:new Kt,faceLandmark68TinyNet:new ze,faceRecognitionNet:new Qt,faceExpressionNet:new Oe,ageGenderNet:new He},cn=(o,t)=>w.ssdMobilenetv1.locateFaces(o,t),ma=(o,t)=>w.tinyFaceDetector.locateFaces(o,t),pa=(o,t)=>w.tinyYolov2.locateFaces(o,t),mn=o=>w.faceLandmark68Net.detectLandmarks(o),ua=o=>w.faceLandmark68TinyNet.detectLandmarks(o),fa=o=>w.faceRecognitionNet.computeFaceDescriptor(o),la=o=>w.faceExpressionNet.predictExpressions(o),da=o=>w.ageGenderNet.predictAgeAndGender(o),pn=o=>w.ssdMobilenetv1.load(o),ha=o=>w.tinyFaceDetector.load(o),ba=o=>w.tinyYolov2.load(o),ga=o=>w.faceLandmark68Net.load(o),xa=o=>w.faceLandmark68TinyNet.load(o),va=o=>w.faceRecognitionNet.load(o),ya=o=>w.faceExpressionNet.load(o),_a=o=>w.ageGenderNet.load(o),Ta=pn,Pa=cn,wa=mn;var Ir=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.extractedFaces=n}},ae=class extends Ir{async run(){let t=await this.parentTask,e=await oe(t,this.input,async r=>Promise.all(r.map(n=>w.faceExpressionNet.predictExpressions(n))),this.extractedFaces);return t.map((r,n)=>xr(r,e[n]))}withAgeAndGender(){return new ie(this,this.input)}},se=class extends Ir{async run(){let t=await this.parentTask;if(!t)return;let e=await Ce(t,this.input,r=>w.faceExpressionNet.predictExpressions(r),this.extractedFaces);return xr(t,e)}withAgeAndGender(){return new ce(this,this.input)}},Wt=class extends ae{withAgeAndGender(){return new Bt(this,this.input)}withFaceDescriptors(){return new wt(this,this.input)}},kt=class extends se{withAgeAndGender(){return new Rt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Nr=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.extractedFaces=n}},ie=class extends Nr{async run(){let t=await this.parentTask,e=await oe(t,this.input,async r=>Promise.all(r.map(n=>w.ageGenderNet.predictAgeAndGender(n))),this.extractedFaces);return t.map((r,n)=>{let{age:a,gender:s,genderProbability:i}=e[n];return Er(Mr(r,s,i),a)})}withFaceExpressions(){return new ae(this,this.input)}},ce=class extends Nr{async run(){let t=await this.parentTask;if(!t)return;let{age:e,gender:r,genderProbability:n}=await Ce(t,this.input,a=>w.ageGenderNet.predictAgeAndGender(a),this.extractedFaces);return Er(Mr(t,r,n),e)}withFaceExpressions(){return new se(this,this.input)}},Bt=class extends ie{withFaceExpressions(){return new Wt(this,this.input)}withFaceDescriptors(){return new wt(this,this.input)}},Rt=class extends ce{withFaceExpressions(){return new kt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Ue=class extends J{constructor(e,r){super();this.parentTask=e;this.input=r}},wt=class extends Ue{async run(){let t=await this.parentTask;return(await oe(t,this.input,r=>Promise.all(r.map(n=>w.faceRecognitionNet.computeFaceDescriptor(n))),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}))).map((r,n)=>Dr(t[n],r))}withFaceExpressions(){return new Wt(this,this.input)}withAgeAndGender(){return new Bt(this,this.input)}},Ft=class extends Ue{async run(){let t=await this.parentTask;if(!t)return;let e=await Ce(t,this.input,r=>w.faceRecognitionNet.computeFaceDescriptor(r),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}));return Dr(t,e)}withFaceExpressions(){return new kt(this,this.input)}withAgeAndGender(){return new Rt(this,this.input)}};var Je=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.useTinyLandmarkNet=n}get landmarkNet(){return this.useTinyLandmarkNet?w.faceLandmark68TinyNet:w.faceLandmark68Net}},qe=class extends Je{async run(){let t=await this.parentTask,e=t.map(s=>s.detection),r=this.input instanceof Xe.Tensor?await de(this.input,e):await le(this.input,e),n=await Promise.all(r.map(s=>this.landmarkNet.detectLandmarks(s)));return r.forEach(s=>s instanceof Xe.Tensor&&s.dispose()),t.filter((s,i)=>n[i]).map((s,i)=>we(s,n[i]))}withFaceExpressions(){return new Wt(this,this.input)}withAgeAndGender(){return new Bt(this,this.input)}withFaceDescriptors(){return new wt(this,this.input)}},Ze=class extends Je{async run(){let t=await this.parentTask;if(!t)return;let{detection:e}=t,r=this.input instanceof Xe.Tensor?await de(this.input,[e]):await le(this.input,[e]),n=await this.landmarkNet.detectLandmarks(r[0]);return r.forEach(a=>a instanceof Xe.Tensor&&a.dispose()),we(t,n)}withFaceExpressions(){return new kt(this,this.input)}withAgeAndGender(){return new Rt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Ke=class extends J{constructor(e,r=new X){super();this.input=e;this.options=r}},Ie=class extends Ke{async run(){let{input:t,options:e}=this,r;if(e instanceof je)r=w.tinyFaceDetector.locateFaces(t,e);else if(e instanceof X)r=w.ssdMobilenetv1.locateFaces(t,e);else if(e instanceof st)r=w.tinyYolov2.locateFaces(t,e);else throw new Error("detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | TinyYolov2Options");return r}runAndExtendWithFaceDetections(){return new Promise((t,e)=>{this.run().then(r=>t(r.map(n=>jt({},n)))).catch(r=>e(r))})}withFaceLandmarks(t=!1){return new qe(this.runAndExtendWithFaceDetections(),this.input,t)}withFaceExpressions(){return new ae(this.runAndExtendWithFaceDetections(),this.input)}withAgeAndGender(){return new ie(this.runAndExtendWithFaceDetections(),this.input)}},Qe=class extends Ke{async run(){let t=await new Ie(this.input,this.options),e=t[0];return t.forEach(r=>{r.score>e.score&&(e=r)}),e}runAndExtendWithFaceDetection(){return new Promise(async t=>{let e=await this.run();t(e?jt({},e):void 0)})}withFaceLandmarks(t=!1){return new Ze(this.runAndExtendWithFaceDetection(),this.input,t)}withFaceExpressions(){return new se(this.runAndExtendWithFaceDetection(),this.input)}withAgeAndGender(){return new ce(this.runAndExtendWithFaceDetection(),this.input)}};function Fa(o,t=new X){return new Qe(o,t)}function Sr(o,t=new X){return new Ie(o,t)}async function un(o,t){return Sr(o,new X(t?{minConfidence:t}:{})).withFaceLandmarks().withFaceDescriptors()}async function Da(o,t={}){return Sr(o,new st(t)).withFaceLandmarks().withFaceDescriptors()}var Ea=un;function go(o,t){if(o.length!==t.length)throw new Error("euclideanDistance: arr1.length !== arr2.length");let e=Array.from(o),r=Array.from(t);return Math.sqrt(e.map((n,a)=>n-r[a]).reduce((n,a)=>n+a*a,0))}var tr=class{constructor(t,e=.6){this._distanceThreshold=e;let r=Array.isArray(t)?t:[t];if(!r.length)throw new Error("FaceRecognizer.constructor - expected atleast one input");let n=1,a=()=>`person ${n++}`;this._labeledDescriptors=r.map(s=>{if(s instanceof mt)return s;if(s instanceof Float32Array)return new mt(a(),[s]);if(s.descriptor&&s.descriptor instanceof Float32Array)return new mt(a(),[s.descriptor]);throw new Error("FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>")})}get labeledDescriptors(){return this._labeledDescriptors}get distanceThreshold(){return this._distanceThreshold}computeMeanDistance(t,e){return e.map(r=>go(r,t)).reduce((r,n)=>r+n,0)/(e.length||1)}matchDescriptor(t){return this.labeledDescriptors.map(({descriptors:e,label:r})=>new pe(r,this.computeMeanDistance(t,e))).reduce((e,r)=>e.distancet.toJSON())}}static fromJSON(t){let e=t.labeledDescriptors.map(r=>mt.fromJSON(r));return new tr(e,t.distanceThreshold)}};function Ma(o){let t=new ne;return t.extractWeights(o),t}function fn(o,t){let{width:e,height:r}=new k(t.width,t.height);if(e<=0||r<=0)throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({width:e,height:r})}`);if(Array.isArray(o))return o.map(n=>fn(n,{width:e,height:r}));if(Zt(o)){let n=o.detection.forSize(e,r),a=o.unshiftedLandmarks.forSize(n.box.width,n.box.height);return we(jt(o,n),a)}return pt(o)?jt(o,o.detection.forSize(e,r)):o instanceof z||o instanceof M?o.forSize(e,r):o}var Ia=No;0&&(module.exports={AgeGenderNet,BoundingBox,Box,ComposableTask,ComputeAllFaceDescriptorsTask,ComputeFaceDescriptorsTaskBase,ComputeSingleFaceDescriptorTask,DetectAllFaceLandmarksTask,DetectAllFacesTask,DetectFaceLandmarksTaskBase,DetectFacesTaskBase,DetectSingleFaceLandmarksTask,DetectSingleFaceTask,Dimensions,FACE_EXPRESSION_LABELS,FaceDetection,FaceDetectionNet,FaceExpressionNet,FaceExpressions,FaceLandmark68Net,FaceLandmark68TinyNet,FaceLandmarkNet,FaceLandmarks,FaceLandmarks5,FaceLandmarks68,FaceMatch,FaceMatcher,FaceRecognitionNet,Gender,LabeledBox,LabeledFaceDescriptors,NetInput,NeuralNetwork,ObjectDetection,Point,PredictedBox,Rect,SsdMobilenetv1,SsdMobilenetv1Options,TinyFaceDetector,TinyFaceDetectorOptions,TinyYolov2,TinyYolov2Options,allFaces,allFacesSsdMobilenetv1,allFacesTinyYolov2,awaitMediaLoaded,bufferToImage,computeFaceDescriptor,createCanvas,createCanvasFromMedia,createFaceDetectionNet,createFaceRecognitionNet,createSsdMobilenetv1,createTinyFaceDetector,createTinyYolov2,detectAllFaces,detectFaceLandmarks,detectFaceLandmarksTiny,detectLandmarks,detectSingleFace,draw,env,euclideanDistance,extendWithAge,extendWithFaceDescriptor,extendWithFaceDetection,extendWithFaceExpressions,extendWithFaceLandmarks,extendWithGender,extractFaceTensors,extractFaces,fetchImage,fetchJson,fetchNetWeights,fetchOrThrow,fetchVideo,getContext2dOrThrow,getMediaDimensions,imageTensorToCanvas,imageToSquare,inverseSigmoid,iou,isMediaElement,isMediaLoaded,isWithAge,isWithFaceDetection,isWithFaceExpressions,isWithFaceLandmarks,isWithGender,loadAgeGenderModel,loadFaceDetectionModel,loadFaceExpressionModel,loadFaceLandmarkModel,loadFaceLandmarkTinyModel,loadFaceRecognitionModel,loadSsdMobilenetv1Model,loadTinyFaceDetectorModel,loadTinyYolov2Model,loadWeightMap,locateFaces,matchDimensions,minBbox,nets,nonMaxSuppression,normalize,padToSquare,predictAgeAndGender,recognizeFaceExpressions,resizeResults,resolveInput,shuffleArray,sigmoid,ssdMobilenetv1,tf,tinyFaceDetector,tinyYolov2,toNetInput,utils,validateConfig,version}); +"use strict";var ln=Object.create;var er=Object.defineProperty;var dn=Object.getOwnPropertyDescriptor;var hn=Object.getOwnPropertyNames;var bn=Object.getPrototypeOf,gn=Object.prototype.hasOwnProperty;var xn=(o,t)=>()=>(t||o((t={exports:{}}).exports,t),t.exports),Lr=(o,t)=>{for(var e in t)er(o,e,{get:t[e],enumerable:!0})},yo=(o,t,e,r)=>{if(t&&typeof t=="object"||typeof t=="function")for(let n of hn(t))!gn.call(o,n)&&n!==e&&er(o,n,{get:()=>t[n],enumerable:!(r=dn(t,n))||r.enumerable});return o};var v=(o,t,e)=>(e=o!=null?ln(bn(o)):{},yo(t||!o||!o.__esModule?er(e,"default",{value:o,enumerable:!0}):e,o)),vn=o=>yo(er({},"__esModule",{value:!0}),o);var x=xn((ka,Wr)=>{"use strict";var _o=Object.defineProperty,yn=Object.getOwnPropertyDescriptor,_n=Object.getOwnPropertyNames,Tn=Object.prototype.hasOwnProperty,Ar=(o,t,e,r)=>{if(t&&typeof t=="object"||typeof t=="function")for(let n of _n(t))!Tn.call(o,n)&&n!==e&&_o(o,n,{get:()=>t[n],enumerable:!(r=yn(t,n))||r.enumerable});return o},Pn=(o,t,e)=>(Ar(o,t,"default"),e&&Ar(e,t,"default")),wn=o=>Ar(_o({},"__esModule",{value:!0}),o),To={};Wr.exports=wn(To);Pn(To,require("@tensorflow/tfjs-node"),Wr.exports)});var Na={};Lr(Na,{AgeGenderNet:()=>He,BoundingBox:()=>Vt,Box:()=>F,ComposableTask:()=>J,ComputeAllFaceDescriptorsTask:()=>wt,ComputeFaceDescriptorsTaskBase:()=>Ue,ComputeSingleFaceDescriptorTask:()=>Ft,DetectAllFaceLandmarksTask:()=>qe,DetectAllFacesTask:()=>Ie,DetectFaceLandmarksTaskBase:()=>Je,DetectFacesTaskBase:()=>Ke,DetectSingleFaceLandmarksTask:()=>Ze,DetectSingleFaceTask:()=>Qe,Dimensions:()=>k,FACE_EXPRESSION_LABELS:()=>no,FaceDetection:()=>M,FaceDetectionNet:()=>uo,FaceExpressionNet:()=>Oe,FaceExpressions:()=>yt,FaceLandmark68Net:()=>Kt,FaceLandmark68TinyNet:()=>ze,FaceLandmarkNet:()=>co,FaceLandmarks:()=>z,FaceLandmarks5:()=>Yr,FaceLandmarks68:()=>Gt,FaceMatch:()=>pe,FaceMatcher:()=>tr,FaceRecognitionNet:()=>Qt,Gender:()=>Tr,LabeledBox:()=>ue,LabeledFaceDescriptors:()=>mt,NetInput:()=>ut,NeuralNetwork:()=>A,ObjectDetection:()=>bt,Point:()=>b,PredictedBox:()=>Gr,Rect:()=>Yt,SsdMobilenetv1:()=>St,SsdMobilenetv1Options:()=>X,TinyFaceDetector:()=>ne,TinyFaceDetectorOptions:()=>je,TinyYolov2:()=>re,TinyYolov2Options:()=>st,allFaces:()=>Ea,allFacesSsdMobilenetv1:()=>un,allFacesTinyYolov2:()=>Da,awaitMediaLoaded:()=>Kr,bufferToImage:()=>Qr,computeFaceDescriptor:()=>fa,createCanvas:()=>Jt,createCanvasFromMedia:()=>We,createFaceDetectionNet:()=>aa,createFaceRecognitionNet:()=>Xn,createSsdMobilenetv1:()=>Jo,createTinyFaceDetector:()=>Ma,createTinyYolov2:()=>ca,detectAllFaces:()=>Sr,detectFaceLandmarks:()=>mn,detectFaceLandmarksTiny:()=>ua,detectLandmarks:()=>wa,detectSingleFace:()=>Fa,draw:()=>so,env:()=>P,euclideanDistance:()=>go,extendWithAge:()=>Er,extendWithFaceDescriptor:()=>Dr,extendWithFaceDetection:()=>jt,extendWithFaceExpressions:()=>xr,extendWithFaceLandmarks:()=>we,extendWithGender:()=>Mr,extractFaceTensors:()=>de,extractFaces:()=>le,fetchImage:()=>An,fetchJson:()=>ro,fetchNetWeights:()=>Wn,fetchOrThrow:()=>xt,fetchVideo:()=>kn,getContext2dOrThrow:()=>O,getMediaDimensions:()=>Xt,imageTensorToCanvas:()=>to,imageToSquare:()=>eo,inverseSigmoid:()=>En,iou:()=>Or,isMediaElement:()=>ir,isMediaLoaded:()=>Ae,isWithAge:()=>Jn,isWithFaceDetection:()=>pt,isWithFaceExpressions:()=>ao,isWithFaceLandmarks:()=>Zt,isWithGender:()=>qn,loadAgeGenderModel:()=>_a,loadFaceDetectionModel:()=>Ta,loadFaceExpressionModel:()=>ya,loadFaceLandmarkModel:()=>ga,loadFaceLandmarkTinyModel:()=>xa,loadFaceRecognitionModel:()=>va,loadSsdMobilenetv1Model:()=>pn,loadTinyFaceDetectorModel:()=>ha,loadTinyYolov2Model:()=>ba,loadWeightMap:()=>oo,locateFaces:()=>Pa,matchDimensions:()=>Bn,minBbox:()=>Hr,nets:()=>w,nonMaxSuppression:()=>zr,normalize:()=>rt,padToSquare:()=>Vr,predictAgeAndGender:()=>da,recognizeFaceExpressions:()=>la,resizeResults:()=>fn,resolveInput:()=>Ut,shuffleArray:()=>Dn,sigmoid:()=>Ne,ssdMobilenetv1:()=>cn,tf:()=>Ca,tinyFaceDetector:()=>ma,tinyYolov2:()=>pa,toNetInput:()=>C,utils:()=>$r,validateConfig:()=>fo,version:()=>Ia});module.exports=vn(Na);var Ca=v(x());var so={};Lr(so,{AnchorPosition:()=>Zr,DrawBox:()=>Le,DrawBoxOptions:()=>ar,DrawFaceLandmarks:()=>yr,DrawFaceLandmarksOptions:()=>vr,DrawTextField:()=>gt,DrawTextFieldOptions:()=>fe,drawContour:()=>dt,drawDetections:()=>Ln,drawFaceExpressions:()=>Rn,drawFaceLandmarks:()=>On});function dt(o,t,e=!1){if(o.beginPath(),t.slice(1).forEach(({x:r,y:n},a)=>{let s=t[a];o.moveTo(s.x,s.y),o.lineTo(r,n)}),e){let r=t[t.length-1],n=t[0];if(!r||!n)return;o.moveTo(r.x,r.y),o.lineTo(n.x,n.y)}o.stroke()}var $r={};Lr($r,{computeReshapedDimensions:()=>Rr,getCenterPoint:()=>zt,isDimensions:()=>or,isEven:()=>rr,isFloat:()=>Br,isTensor:()=>Ot,isTensor1D:()=>Fn,isTensor2D:()=>kr,isTensor3D:()=>ht,isTensor4D:()=>U,isValidNumber:()=>et,isValidProbablitiy:()=>me,range:()=>it,round:()=>Ht});var Po=v(x());var k=class{constructor(t,e){if(!et(t)||!et(e))throw new Error(`Dimensions.constructor - expected width and height to be valid numbers, instead have ${JSON.stringify({width:t,height:e})}`);this._width=t,this._height=e}get width(){return this._width}get height(){return this._height}reverse(){return new k(1/this.width,1/this.height)}};function Ot(o,t){return o instanceof Po.Tensor&&o.shape.length===t}function Fn(o){return Ot(o,1)}function kr(o){return Ot(o,2)}function ht(o){return Ot(o,3)}function U(o){return Ot(o,4)}function Br(o){return o%1!==0}function rr(o){return o%2===0}function Ht(o,t=2){let e=10**t;return Math.floor(o*e)/e}function or(o){return o&&o.width&&o.height}function Rr({width:o,height:t},e){let r=e/Math.max(t,o);return new k(Math.round(o*r),Math.round(t*r))}function zt(o){return o.reduce((t,e)=>t.add(e),new b(0,0)).div(new b(o.length,o.length))}function it(o,t,e){return Array(o).fill(0).map((r,n)=>t+n*e)}function et(o){return!!o&&o!==1/0&&o!==-1/0&&!Number.isNaN(o)||o===0}function me(o){return et(o)&&o>=0&&o<=1}var b=class{constructor(t,e){this._x=t,this._y=e}get x(){return this._x}get y(){return this._y}add(t){return new b(this.x+t.x,this.y+t.y)}sub(t){return new b(this.x-t.x,this.y-t.y)}mul(t){return new b(this.x*t.x,this.y*t.y)}div(t){return new b(this.x/t.x,this.y/t.y)}abs(){return new b(Math.abs(this.x),Math.abs(this.y))}magnitude(){return Math.sqrt(this.x**2+this.y**2)}floor(){return new b(Math.floor(this.x),Math.floor(this.y))}};var F=class{static isRect(t){return!!t&&[t.x,t.y,t.width,t.height].every(et)}static assertIsValidBox(t,e,r=!1){if(!F.isRect(t))throw new Error(`${e} - invalid box: ${JSON.stringify(t)}, expected object with properties x, y, width, height`);if(!r&&(t.width<0||t.height<0))throw new Error(`${e} - width (${t.width}) and height (${t.height}) must be positive numbers`)}constructor(t,e=!0){let r=t||{},n=[r.left,r.top,r.right,r.bottom].every(et),a=[r.x,r.y,r.width,r.height].every(et);if(!a&&!n)throw new Error(`Box.constructor - expected box to be IBoundingBox | IRect, instead have ${JSON.stringify(r)}`);let[s,i,c,m]=a?[r.x,r.y,r.width,r.height]:[r.left,r.top,r.right-r.left,r.bottom-r.top];F.assertIsValidBox({x:s,y:i,width:c,height:m},"Box.constructor",e),this._x=s,this._y=i,this._width=c,this._height=m}get x(){return this._x}get y(){return this._y}get width(){return this._width}get height(){return this._height}get left(){return this.x}get top(){return this.y}get right(){return this.x+this.width}get bottom(){return this.y+this.height}get area(){return this.width*this.height}get topLeft(){return new b(this.left,this.top)}get topRight(){return new b(this.right,this.top)}get bottomLeft(){return new b(this.left,this.bottom)}get bottomRight(){return new b(this.right,this.bottom)}round(){let[t,e,r,n]=[this.x,this.y,this.width,this.height].map(a=>Math.round(a));return new F({x:t,y:e,width:r,height:n})}floor(){let[t,e,r,n]=[this.x,this.y,this.width,this.height].map(a=>Math.floor(a));return new F({x:t,y:e,width:r,height:n})}toSquare(){let{x:t,y:e,width:r,height:n}=this,a=Math.abs(r-n);return re&&(i=-u+e+r,u=e),f>t&&(c=-f+t+n,f=t),m<1&&(c=2-m,m=1),p<1&&(c=2-p,p=1),{dy:s,edy:c,dx:a,edx:i,y:p,ey:f,x:m,ex:u,w:r,h:n}}calibrate(t){return new F({left:this.left+t.left*this.width,top:this.top+t.top*this.height,right:this.right+t.right*this.width,bottom:this.bottom+t.bottom*this.height}).toSquare().round()}};var Vt=class extends F{constructor(t,e,r,n,a=!1){super({left:t,top:e,right:r,bottom:n},a)}};var bt=class{constructor(t,e,r,n,a){this._imageDims=new k(a.width,a.height),this._score=t,this._classScore=e,this._className=r,this._box=new F(n).rescale(this._imageDims)}get score(){return this._score}get classScore(){return this._classScore}get className(){return this._className}get box(){return this._box}get imageDims(){return this._imageDims}get imageWidth(){return this.imageDims.width}get imageHeight(){return this.imageDims.height}get relativeBox(){return new F(this._box).rescale(this.imageDims.reverse())}forSize(t,e){return new bt(this.score,this.classScore,this.className,this.relativeBox,{width:t,height:e})}};var M=class extends bt{constructor(t,e,r){super(t,t,"",e,r)}forSize(t,e){let{score:r,relativeBox:n,imageDims:a}=super.forSize(t,e);return new M(r,n,a)}};function Or(o,t,e=!0){let r=Math.max(0,Math.min(o.right,t.right)-Math.max(o.left,t.left)),n=Math.max(0,Math.min(o.bottom,t.bottom)-Math.max(o.top,t.top)),a=r*n;return e?a/(o.area+t.area-a):a/Math.min(o.area,t.area)}function Hr(o){let t=o.map(i=>i.x),e=o.map(i=>i.y),r=t.reduce((i,c)=>ccii({score:s,boxIndex:i})).sort((s,i)=>s.score-i.score).map(s=>s.boxIndex),a=[];for(;n.length>0;){let s=n.pop();a.push(s);let i=n,c=[];for(let m=0;mc[p]<=e)}return a}var ct=v(x());function rt(o,t){return ct.tidy(()=>{let[e,r,n]=t,a=ct.fill([...o.shape.slice(0,3),1],e,"float32"),s=ct.fill([...o.shape.slice(0,3),1],r,"float32"),i=ct.fill([...o.shape.slice(0,3),1],n,"float32"),c=ct.concat([a,s,i],3);return ct.sub(o,c)})}var Ct=v(x());function Vr(o,t=!1){return Ct.tidy(()=>{let[e,r]=o.shape.slice(1);if(e===r)return o;let n=Math.abs(e-r),a=Math.round(n*(t?.5:1)),s=e>r?2:1,i=f=>{let l=o.shape.slice();return l[s]=f,Ct.fill(l,0,"float32")},c=i(a),m=n-c.shape[s],u=[t&&m?i(m):null,o,c].filter(f=>!!f).map(f=>Ct.cast(f,"float32"));return Ct.concat(u,s)})}function Dn(o){let t=o.slice();for(let e=t.length-1;e>0;e--){let r=Math.floor(Math.random()*(e+1)),n=t[e];t[e]=t[r],t[r]=n}return t}function Ne(o){return 1/(1+Math.exp(-o))}function En(o){return Math.log(o/(1-o))}var Yt=class extends F{constructor(t,e,r,n,a=!1){super({x:t,y:e,width:r,height:n},a)}};var Mn=.5,Cn=.43,In=.45,z=class{constructor(t,e,r=new b(0,0)){let{width:n,height:a}=e;this._imgDims=new k(n,a),this._shift=r,this._positions=t.map(s=>s.mul(new b(n,a)).add(r))}get shift(){return new b(this._shift.x,this._shift.y)}get imageWidth(){return this._imgDims.width}get imageHeight(){return this._imgDims.height}get positions(){return this._positions}get relativePositions(){return this._positions.map(t=>t.sub(this._shift).div(new b(this.imageWidth,this.imageHeight)))}forSize(t,e){return new this.constructor(this.relativePositions,{width:t,height:e})}shiftBy(t,e){return new this.constructor(this.relativePositions,this._imgDims,new b(t,e))}shiftByPoint(t){return this.shiftBy(t.x,t.y)}align(t,e={}){if(t){let a=t instanceof M?t.box.floor():new F(t);return this.shiftBy(a.x,a.y).align(null,e)}let{useDlibAlignment:r,minBoxPadding:n}={useDlibAlignment:!1,minBoxPadding:.2,...e};return r?this.alignDlib():this.alignMinBbox(n)}alignDlib(){let t=this.getRefPointsForAlignment(),[e,r,n]=t,a=u=>n.sub(u).magnitude(),s=(a(e)+a(r))/2,i=Math.floor(s/In),c=zt(t),m=Math.floor(Math.max(0,c.x-Mn*i)),p=Math.floor(Math.max(0,c.y-Cn*i));return new Yt(m,p,Math.min(i,this.imageWidth+m),Math.min(i,this.imageHeight+p))}alignMinBbox(t){let e=Hr(this.positions);return e.pad(e.width*t,e.height*t)}getRefPointsForAlignment(){throw new Error("getRefPointsForAlignment not implemented by base class")}};var Yr=class extends z{getRefPointsForAlignment(){let t=this.positions;return[t[0],t[1],zt([t[3],t[4]])]}};var Gt=class extends z{getJawOutline(){return this.positions.slice(0,17)}getLeftEyeBrow(){return this.positions.slice(17,22)}getRightEyeBrow(){return this.positions.slice(22,27)}getNose(){return this.positions.slice(27,36)}getLeftEye(){return this.positions.slice(36,42)}getRightEye(){return this.positions.slice(42,48)}getMouth(){return this.positions.slice(48,68)}getRefPointsForAlignment(){return[this.getLeftEye(),this.getRightEye(),this.getMouth()].map(zt)}};var pe=class{constructor(t,e){this._label=t,this._distance=e}get label(){return this._label}get distance(){return this._distance}toString(t=!0){return`${this.label}${t?` (${Ht(this.distance)})`:""}`}};var ue=class extends F{constructor(e,r){super(e);this._label=r}static assertIsValidLabeledBox(e,r){if(F.assertIsValidBox(e,r),!et(e.label))throw new Error(`${r} - expected property label (${e.label}) to be a number`)}get label(){return this._label}};var mt=class{constructor(t,e){if(typeof t!="string")throw new Error("LabeledFaceDescriptors - constructor expected label to be a string");if(!Array.isArray(e)||e.some(r=>!(r instanceof Float32Array)))throw new Error("LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array");this._label=t,this._descriptors=e}get label(){return this._label}get descriptors(){return this._descriptors}toJSON(){return{label:this.label,descriptors:this.descriptors.map(t=>Array.from(t))}}static fromJSON(t){let e=t.descriptors.map(r=>new Float32Array(r));return new mt(t.label,e)}};var Gr=class extends ue{constructor(e,r,n,a){super(e,r);this._score=n,this._classScore=a}static assertIsValidPredictedBox(e,r){if(ue.assertIsValidLabeledBox(e,r),!me(e.score)||!me(e.classScore))throw new Error(`${r} - expected properties score (${e.score}) and (${e.classScore}) to be a number between [0, 1]`)}get score(){return this._score}get classScore(){return this._classScore}};function pt(o){return o.detection instanceof M}function jt(o,t){return{...o,...{detection:t}}}function jr(){let o=window.fetch;if(!o)throw new Error("fetch - missing fetch implementation for browser environment");return{Canvas:HTMLCanvasElement,CanvasRenderingContext2D,Image:HTMLImageElement,ImageData,Video:HTMLVideoElement,createCanvasElement:()=>document.createElement("canvas"),createImageElement:()=>document.createElement("img"),createVideoElement:()=>document.createElement("video"),fetch:o,readFile:()=>{throw new Error("readFile - filesystem not available for browser environment")}}}function Se(){return typeof global=="object"&&typeof process!="undefined"&&process.versions!=null&&process.versions.node!=null}function nr(o){let t="";if(!o&&Se())try{o=require("fs")}catch(r){t=r.toString()}return{readFile:o?r=>new Promise((n,a)=>{o.readFile(r,(s,i)=>s?a(s):n(i))}):()=>{throw new Error(`readFile - failed to require fs in nodejs environment with error: ${t}`)}}}function Ur(){let o=global.Canvas||global.HTMLCanvasElement,t=global.Image||global.HTMLImageElement,e=global.Video||global.HTMLVideoElement,r=()=>{if(o)return new o;throw new Error("createCanvasElement - missing Canvas implementation for nodejs environment")},n=()=>{if(t)return new t;throw new Error("createImageElement - missing Image implementation for nodejs environment")},a=()=>{if(e)return new e;throw new Error("createVideoElement - missing Video implementation for nodejs environment")},s=global.fetch,i=nr();return{Canvas:o||class{},CanvasRenderingContext2D:global.CanvasRenderingContext2D||class{},Image:t||class{},ImageData:global.ImageData||class{},Video:global.HTMLVideoElement||class{},createCanvasElement:r,createImageElement:n,createVideoElement:a,fetch:s,...i}}function Xr(){return typeof window=="object"&&typeof document!="undefined"&&typeof HTMLImageElement!="undefined"&&typeof HTMLCanvasElement!="undefined"&&typeof HTMLVideoElement!="undefined"&&typeof ImageData!="undefined"&&typeof CanvasRenderingContext2D!="undefined"}var L;function Nn(){if(!L)throw new Error("getEnv - environment is not defined, check isNodejs() and isBrowser()");return L}function Jr(o){L=o}function qr(){return Xr()?Jr(jr()):Se()?Jr(Ur()):null}function Sn(o){if(L||qr(),!L)throw new Error("monkeyPatch - environment is not defined, check isNodejs() and isBrowser()");let{Canvas:t=L.Canvas,Image:e=L.Image}=o;L.Canvas=t,L.Image=e,L.createCanvasElement=o.createCanvasElement||(()=>new t),L.createImageElement=o.createImageElement||(()=>new e),L.ImageData=o.ImageData||L.ImageData,L.Video=o.Video||L.Video,L.fetch=o.fetch||L.fetch,L.readFile=o.readFile||L.readFile}var P={getEnv:Nn,setEnv:Jr,initialize:qr,createBrowserEnv:jr,createFileSystem:nr,createNodejsEnv:Ur,monkeyPatch:Sn,isBrowser:Xr,isNodejs:Se};qr();function Ut(o){return!P.isNodejs()&&typeof o=="string"?document.getElementById(o):o}function O(o){let{Canvas:t,CanvasRenderingContext2D:e}=P.getEnv();if(o instanceof e)return o;let r=Ut(o);if(!(r instanceof t))throw new Error("resolveContext2d - expected canvas to be of instance of Canvas");let n=r.getContext("2d");if(!n)throw new Error("resolveContext2d - canvas 2d context is null");return n}var Zr=(n=>(n.TOP_LEFT="TOP_LEFT",n.TOP_RIGHT="TOP_RIGHT",n.BOTTOM_LEFT="BOTTOM_LEFT",n.BOTTOM_RIGHT="BOTTOM_RIGHT",n))(Zr||{}),fe=class{constructor(t={}){let{anchorPosition:e,backgroundColor:r,fontColor:n,fontSize:a,fontStyle:s,padding:i}=t;this.anchorPosition=e||"TOP_LEFT",this.backgroundColor=r||"rgba(0, 0, 0, 0.5)",this.fontColor=n||"rgba(255, 255, 255, 1)",this.fontSize=a||14,this.fontStyle=s||"Georgia",this.padding=i||4}},gt=class{constructor(t,e,r={}){this.text=typeof t=="string"?[t]:t instanceof gt?t.text:t,this.anchor=e,this.options=new fe(r)}measureWidth(t){let{padding:e}=this.options;return this.text.map(r=>t.measureText(r).width).reduce((r,n)=>r{let g=c+u.x,T=c+u.y+(l+1)*s;r.fillText(f,g,T)})}};var ar=class{constructor(t={}){let{boxColor:e,lineWidth:r,label:n,drawLabelOptions:a}=t;this.boxColor=e||"rgba(0, 0, 255, 1)",this.lineWidth=r||2,this.label=n;let s={anchorPosition:"BOTTOM_LEFT",backgroundColor:this.boxColor};this.drawLabelOptions=new fe({...s,...a})}},Le=class{constructor(t,e={}){this.box=new F(t),this.options=new ar(e)}draw(t){let e=O(t),{boxColor:r,lineWidth:n}=this.options,{x:a,y:s,width:i,height:c}=this.box;e.strokeStyle=r,e.lineWidth=n,e.strokeRect(a,s,i,c);let{label:m}=this.options;m&&new gt([m],{x:a-n/2,y:s},this.options.drawLabelOptions).draw(t)}};function Ln(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let n=r instanceof M?r.score:pt(r)?r.detection.score:void 0,a=r instanceof M?r.box:pt(r)?r.detection.box:new F(r),s=n?`${Ht(n)}`:void 0;new Le(a,{label:s}).draw(o)})}var Pe=v(x());function Ae(o){let{Image:t,Video:e}=P.getEnv();return o instanceof t&&o.complete||o instanceof e&&o.readyState>=3}function Kr(o){return new Promise((t,e)=>{(o instanceof P.getEnv().Canvas||Ae(o))&&t(null);function r(a){!a.currentTarget||(a.currentTarget.removeEventListener("load",n),a.currentTarget.removeEventListener("error",r),e(a))}function n(a){!a.currentTarget||(a.currentTarget.removeEventListener("load",n),a.currentTarget.removeEventListener("error",r),t(a))}o.addEventListener("load",n),o.addEventListener("error",r)})}function Qr(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToImage - expected buf to be of type: Blob"));let r=new FileReader;r.onload=()=>{typeof r.result!="string"&&e(new Error("bufferToImage - expected reader.result to be a string, in onload"));let n=P.getEnv().createImageElement();n.onload=()=>t(n),n.onerror=e,n.src=r.result},r.onerror=e,r.readAsDataURL(o)})}function Xt(o){let{Image:t,Video:e}=P.getEnv();return o instanceof t?new k(o.naturalWidth,o.naturalHeight):o instanceof e?new k(o.videoWidth,o.videoHeight):new k(o.width,o.height)}function Jt({width:o,height:t}){let{createCanvasElement:e}=P.getEnv(),r=e();return r.width=o,r.height=t,r}function We(o,t){let{ImageData:e}=P.getEnv();if(!(o instanceof e)&&!Ae(o))throw new Error("createCanvasFromMedia - media has not finished loading yet");let{width:r,height:n}=t||Xt(o),a=Jt({width:r,height:n});return o instanceof e?O(a).putImageData(o,0,0):O(a).drawImage(o,0,0,r,n),a}var sr=v(x());async function to(o,t){let e=t||P.getEnv().createCanvasElement(),[r,n,a]=o.shape.slice(U(o)?1:0),s=sr.tidy(()=>o.as3D(r,n,a).toInt());return await sr.browser.toPixels(s,e),s.dispose(),e}function ir(o){let{Image:t,Canvas:e,Video:r}=P.getEnv();return o instanceof t||o instanceof e||o instanceof r}var V=v(x());function eo(o,t,e=!1){let{Image:r,Canvas:n}=P.getEnv();if(!(o instanceof r||o instanceof n))throw new Error("imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement");if(t<=0)return Jt({width:1,height:1});let a=Xt(o),s=t/Math.max(a.height,a.width),i=s*a.width,c=s*a.height,m=Jt({width:t,height:t}),p=o instanceof n?o:We(o),u=Math.abs(i-c)/2,f=e&&i0&&p.height>0&&O(m).drawImage(p,f,l,i,c),m}var ut=class{constructor(t,e=!1){this._imageTensors=[];this._canvases=[];this._treatAsBatchInput=!1;this._inputDimensions=[];this._inputSize=0;if(!Array.isArray(t))throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${t}`);this._treatAsBatchInput=e,this._batchSize=t.length,t.forEach((r,n)=>{if(ht(r)){this._imageTensors[n]=r,this._inputDimensions[n]=r.shape;return}if(U(r)){let s=r.shape[0];if(s!==1)throw new Error(`NetInput - tf.Tensor4D with batchSize ${s} passed, but not supported in input array`);this._imageTensors[n]=r,this._inputDimensions[n]=r.shape.slice(1);return}let a=r instanceof P.getEnv().Canvas?r:We(r);this._canvases[n]=a,this._inputDimensions[n]=[a.height,a.width,3]})}get imageTensors(){return this._imageTensors}get canvases(){return this._canvases}get isBatchInput(){return this.batchSize>1||this._treatAsBatchInput}get batchSize(){return this._batchSize}get inputDimensions(){return this._inputDimensions}get inputSize(){return this._inputSize}get reshapedInputDimensions(){return it(this.batchSize,0,1).map((t,e)=>this.getReshapedInputDimensions(e))}getInput(t){return this.canvases[t]||this.imageTensors[t]}getInputDimensions(t){return this._inputDimensions[t]}getInputHeight(t){return this._inputDimensions[t][0]}getInputWidth(t){return this._inputDimensions[t][1]}getReshapedInputDimensions(t){if(typeof this.inputSize!="number")throw new Error("getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet");let e=this.getInputWidth(t),r=this.getInputHeight(t);return Rr({width:e,height:r},this.inputSize)}toBatchTensor(t,e=!0){return this._inputSize=t,V.tidy(()=>{let r=it(this.batchSize,0,1).map(a=>{let s=this.getInput(a);if(s instanceof V.Tensor){let i=U(s)?s:V.expandDims(s);return i=Vr(i,e),(i.shape[1]!==t||i.shape[2]!==t)&&(i=V.image.resizeBilinear(i,[t,t],!1,!1)),i.as3D(t,t,3)}if(s instanceof P.getEnv().Canvas)return V.browser.fromPixels(eo(s,t,e));throw new Error(`toBatchTensor - at batchIdx ${a}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${s}`)});return V.stack(r.map(a=>V.cast(a,"float32"))).as4D(this.batchSize,t,t,3)})}};async function C(o){if(o instanceof ut)return o;let t=Array.isArray(o)?o:[o];if(!t.length)throw new Error("toNetInput - empty array passed as input");let e=n=>Array.isArray(o)?` at input index ${n}:`:"",r=t.map(Ut);return r.forEach((n,a)=>{if(!ir(n)&&!ht(n)&&!U(n))throw typeof t[a]=="string"?new Error(`toNetInput -${e(a)} string passed, but could not resolve HTMLElement for element id ${t[a]}`):new Error(`toNetInput -${e(a)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);if(U(n)){let s=n.shape[0];if(s!==1)throw new Error(`toNetInput -${e(a)} tf.Tensor4D with batchSize ${s} passed, but not supported in input array`)}}),await Promise.all(r.map(n=>ir(n)&&Kr(n))),new ut(r,Array.isArray(o))}async function le(o,t){let{Canvas:e}=P.getEnv(),r=o;if(!(o instanceof e)){let s=await C(o);if(s.batchSize>1)throw new Error("extractFaces - batchSize > 1 not supported");let i=s.getInput(0);r=i instanceof e?i:await to(i)}let n=O(r);return t.map(s=>s instanceof M?s.forSize(r.width,r.height).box.floor():s).map(s=>s.clipAtImageBorders(r.width,r.height)).map(({x:s,y:i,width:c,height:m})=>{let p=Jt({width:c,height:m});return c>0&&m>0&&O(p).putImageData(n.getImageData(s,i,c,m),0,0),p})}var cr=v(x());async function de(o,t){if(!ht(o)&&!U(o))throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");if(U(o)&&o.shape[0]>1)throw new Error("extractFaceTensors - batchSize > 1 not supported");return cr.tidy(()=>{let[e,r,n]=o.shape.slice(U(o)?1:0);return t.map(i=>i instanceof M?i.forSize(r,e).box:i).map(i=>i.clipAtImageBorders(r,e)).filter(i=>i.width>0&&i.height>0).map(({x:i,y:c,width:m,height:p})=>cr.slice3d(o.as3D(e,r,n),[c,i,0],[p,m,n]))})}async function xt(o,t){let{fetch:e}=P.getEnv(),r=await e(o,t);if(!(r.status<400))throw new Error(`failed to fetch: (${r.status}) ${r.statusText}, from url: ${r.url}`);return r}async function An(o){let t=await xt(o),e=await t.blob();if(!e.type.startsWith("image/"))throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${e.type}, for url: ${t.url}`);return Qr(e)}async function ro(o){return(await xt(o)).json()}async function Wn(o){return new Float32Array(await(await xt(o)).arrayBuffer())}function wo(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToVideo - expected buf to be of type: Blob"));let r=P.getEnv().createVideoElement();r.oncanplay=()=>t(r),r.onerror=e,r.playsInline=!0,r.muted=!0,r.src=URL.createObjectURL(o),r.play()})}async function kn(o){let t=await xt(o),e=await t.blob();if(!e.type.startsWith("video/"))throw new Error(`fetchVideo - expected blob type to be of type video/*, instead have: ${e.type}, for url: ${t.url}`);return wo(e)}var Fo=v(x());function mr(o,t){let e=`${t}-weights_manifest.json`;if(!o)return{modelBaseUri:"",manifestUri:e};if(o==="/")return{modelBaseUri:"/",manifestUri:`/${e}`};let r=o.startsWith("http://")?"http://":o.startsWith("https://")?"https://":"";o=o.replace(r,"");let n=o.split("/").filter(i=>i),a=o.endsWith(".json")?n[n.length-1]:e,s=r+(o.endsWith(".json")?n.slice(0,n.length-1):n).join("/");return s=o.startsWith("/")?`/${s}`:s,{modelBaseUri:s,manifestUri:s==="/"?`/${a}`:`${s}/${a}`}}async function oo(o,t){let{manifestUri:e,modelBaseUri:r}=mr(o,t),n=await ro(e);return Fo.io.loadWeights(n,r)}function Bn(o,t,e=!1){let{width:r,height:n}=e?Xt(t):t;return o.width=r,o.height=n,{width:r,height:n}}var ye=v(x());var vt=v(x());var A=class{constructor(t){this._params=void 0;this._paramMappings=[];this._name=t}get params(){return this._params}get paramMappings(){return this._paramMappings}get isLoaded(){return!!this.params}getParamFromPath(t){let{obj:e,objProp:r}=this.traversePropertyPath(t);return e[r]}reassignParamFromPath(t,e){let{obj:r,objProp:n}=this.traversePropertyPath(t);r[n].dispose(),r[n]=e}getParamList(){return this._paramMappings.map(({paramPath:t})=>({path:t,tensor:this.getParamFromPath(t)}))}getTrainableParams(){return this.getParamList().filter(t=>t.tensor instanceof vt.Variable)}getFrozenParams(){return this.getParamList().filter(t=>!(t.tensor instanceof vt.Variable))}variable(){this.getFrozenParams().forEach(({path:t,tensor:e})=>{this.reassignParamFromPath(t,e.variable())})}freeze(){this.getTrainableParams().forEach(({path:t,tensor:e})=>{let r=vt.tensor(e.dataSync());e.dispose(),this.reassignParamFromPath(t,r)})}dispose(t=!0){this.getParamList().forEach(e=>{if(t&&e.tensor.isDisposed)throw new Error(`param tensor has already been disposed for path ${e.path}`);e.tensor.dispose()}),this._params=void 0}serializeParams(){return new Float32Array(this.getParamList().map(({tensor:t})=>Array.from(t.dataSync())).reduce((t,e)=>t.concat(e)))}async load(t){if(t instanceof Float32Array){this.extractWeights(t);return}await this.loadFromUri(t)}async loadFromUri(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromUri - expected model uri`);let e=await oo(t,this.getDefaultModelName());this.loadFromWeightMap(e)}async loadFromDisk(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromDisk - expected model file path`);let{readFile:e}=P.getEnv(),{manifestUri:r,modelBaseUri:n}=mr(t,this.getDefaultModelName()),a=m=>Promise.all(m.map(p=>e(p).then(u=>u.buffer))),s=vt.io.weightsLoaderFactory(a),i=JSON.parse((await e(r)).toString()),c=await s(i,n);this.loadFromWeightMap(c)}loadFromWeightMap(t){let{paramMappings:e,params:r}=this.extractParamsFromWeightMap(t);this._paramMappings=e,this._params=r}extractWeights(t){let{paramMappings:e,params:r}=this.extractParams(t);this._paramMappings=e,this._params=r}traversePropertyPath(t){if(!this.params)throw new Error("traversePropertyPath - model has no loaded params");let e=t.split("/").reduce((a,s)=>{if(!a.nextObj.hasOwnProperty(s))throw new Error(`traversePropertyPath - object does not have property ${s}, for path ${t}`);return{obj:a.nextObj,objProp:s,nextObj:a.nextObj[s]}},{nextObj:this.params}),{obj:r,objProp:n}=e;if(!r||!n||!(r[n]instanceof vt.Tensor))throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${t}`);return{obj:r,objProp:n}}};var I=v(x());var he=v(x());function H(o,t,e){return he.tidy(()=>{let r=he.separableConv2d(o,t.depthwise_filter,t.pointwise_filter,e,"same");return r=he.add(r,t.bias),r})}function pr(o,t,e=!1){return I.tidy(()=>{let r=I.relu(e?I.add(I.conv2d(o,t.conv0.filters,[2,2],"same"),t.conv0.bias):H(o,t.conv0,[2,2])),n=H(r,t.conv1,[1,1]),a=I.relu(I.add(r,n)),s=H(a,t.conv2,[1,1]);return I.relu(I.add(r,I.add(n,s)))})}function ke(o,t,e=!1,r=!0){return I.tidy(()=>{let n=I.relu(e?I.add(I.conv2d(o,t.conv0.filters,r?[2,2]:[1,1],"same"),t.conv0.bias):H(o,t.conv0,r?[2,2]:[1,1])),a=H(n,t.conv1,[1,1]),s=I.relu(I.add(n,a)),i=H(s,t.conv2,[1,1]),c=I.relu(I.add(n,I.add(a,i))),m=H(c,t.conv3,[1,1]);return I.relu(I.add(n,I.add(a,I.add(i,m))))})}var It=v(x());function qt(o,t,e="same",r=!1){return It.tidy(()=>{let n=It.add(It.conv2d(o,t.filters,[1,1],e),t.bias);return r?It.relu(n):n})}function B(o,t){Object.keys(o).forEach(e=>{t.some(r=>r.originalPath===e)||o[e].dispose()})}var ur=v(x());function be(o,t){return(e,r,n,a)=>{let s=ur.tensor4d(o(e*r*n*n),[n,n,e,r]),i=ur.tensor1d(o(r));return t.push({paramPath:`${a}/filters`},{paramPath:`${a}/bias`}),{filters:s,bias:i}}}var fr=v(x());function lr(o,t){return(e,r,n)=>{let a=fr.tensor2d(o(e*r),[e,r]),s=fr.tensor1d(o(r));return t.push({paramPath:`${n}/weights`},{paramPath:`${n}/bias`}),{weights:a,bias:s}}}var Re=v(x());var Be=class{constructor(t,e,r){this.depthwise_filter=t;this.pointwise_filter=e;this.bias=r}};function ge(o,t){return(e,r,n)=>{let a=Re.tensor4d(o(9*e),[3,3,e,1]),s=Re.tensor4d(o(e*r),[1,1,e,r]),i=Re.tensor1d(o(r));return t.push({paramPath:`${n}/depthwise_filter`},{paramPath:`${n}/pointwise_filter`},{paramPath:`${n}/bias`}),new Be(a,s,i)}}function xe(o){return t=>{let e=o(`${t}/depthwise_filter`,4),r=o(`${t}/pointwise_filter`,4),n=o(`${t}/bias`,1);return new Be(e,r,n)}}function Y(o,t){return(e,r,n)=>{let a=o[e];if(!Ot(a,r))throw new Error(`expected weightMap[${e}] to be a Tensor${r}D, instead have ${a}`);return t.push({originalPath:e,paramPath:n||e}),a}}function R(o){let t=o;function e(n){let a=t.slice(0,n);return t=t.slice(n),a}function r(){return t}return{extractWeights:e,getRemainingWeights:r}}function dr(o,t){let e=be(o,t),r=ge(o,t);function n(s,i,c,m=!1){let p=m?e(s,i,3,`${c}/conv0`):r(s,i,`${c}/conv0`),u=r(i,i,`${c}/conv1`),f=r(i,i,`${c}/conv2`);return{conv0:p,conv1:u,conv2:f}}function a(s,i,c,m=!1){let{conv0:p,conv1:u,conv2:f}=n(s,i,c,m),l=r(i,i,`${c}/conv3`);return{conv0:p,conv1:u,conv2:f,conv3:l}}return{extractDenseBlock3Params:n,extractDenseBlock4Params:a}}function Do(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractDenseBlock4Params:n}=dr(e,t),a=n(3,32,"dense0",!0),s=n(32,64,"dense1"),i=n(64,128,"dense2"),c=n(128,256,"dense3");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:a,dense1:s,dense2:i,dense3:c}}}function hr(o){return t=>{let e=o(`${t}/filters`,4),r=o(`${t}/bias`,1);return{filters:e,bias:r}}}function br(o,t){let e=Y(o,t),r=hr(e),n=xe(e);function a(i,c=!1){let m=c?r(`${i}/conv0`):n(`${i}/conv0`),p=n(`${i}/conv1`),u=n(`${i}/conv2`);return{conv0:m,conv1:p,conv2:u}}function s(i,c=!1){let m=c?r(`${i}/conv0`):n(`${i}/conv0`),p=n(`${i}/conv1`),u=n(`${i}/conv2`),f=n(`${i}/conv3`);return{conv0:m,conv1:p,conv2:u,conv3:f}}return{extractDenseBlock3Params:a,extractDenseBlock4Params:s}}function Eo(o){let t=[],{extractDenseBlock4Params:e}=br(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2"),dense3:e("dense3")};return B(o,t),{params:r,paramMappings:t}}var ve=class extends A{constructor(){super("FaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceFeatureExtractor - load model before inference");return ye.tidy(()=>{let r=ye.cast(t.toBatchTensor(112,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=ke(a,e.dense0,!0);return s=ke(s,e.dense1),s=ke(s,e.dense2),s=ke(s,e.dense3),s=ye.avgPool(s,[7,7],[2,2],"valid"),s})}async forward(t){return this.forwardInput(await C(t))}getDefaultModelName(){return"face_feature_extractor_model"}extractParamsFromWeightMap(t){return Eo(t)}extractParams(t){return Do(t)}};var Io=v(x());var _e=v(x());function $e(o,t){return _e.tidy(()=>_e.add(_e.matMul(o,t.weights),t.bias))}function Mo(o,t,e){let r=[],{extractWeights:n,getRemainingWeights:a}=R(o),i=lr(n,r)(t,e,"fc");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:r,params:{fc:i}}}function Co(o){let t=[],e=Y(o,t);function r(a){let s=e(`${a}/weights`,2),i=e(`${a}/bias`,1);return{weights:s,bias:i}}let n={fc:r("fc")};return B(o,t),{params:n,paramMappings:t}}function gr(o){let t={},e={};return Object.keys(o).forEach(r=>{let n=r.startsWith("fc")?e:t;n[r]=o[r]}),{featureExtractorMap:t,classifierMap:e}}var Te=class extends A{constructor(e,r){super(e);this._faceFeatureExtractor=r}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return Io.tidy(()=>{let n=e instanceof ut?this.faceFeatureExtractor.forwardInput(e):e;return $e(n.as2D(n.shape[0],-1),r.fc)})}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:n}=this.extractClassifierParams(e);this._params=r,this._paramMappings=n}extractClassifierParams(e){return Mo(e,this.getClassifierChannelsIn(),this.getClassifierChannelsOut())}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:n}=gr(e);return this.faceFeatureExtractor.loadFromWeightMap(r),Co(n)}extractParams(e){let r=this.getClassifierChannelsIn(),n=this.getClassifierChannelsOut(),a=n*r+n,s=e.slice(0,e.length-a),i=e.slice(e.length-a);return this.faceFeatureExtractor.extractWeights(s),this.extractClassifierParams(i)}};var no=["neutral","happy","sad","angry","fearful","disgusted","surprised"],yt=class{constructor(t){this.neutral=0;this.happy=0;this.sad=0;this.angry=0;this.fearful=0;this.disgusted=0;this.surprised=0;if(t.length!==7)throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${t.length}`);no.forEach((e,r)=>{this[e]=t[r]})}asSortedArray(){return no.map(t=>({expression:t,probability:this[t]})).sort((t,e)=>e.probability-t.probability)}};var Oe=class extends Te{constructor(t=new ve){super("FaceExpressionNet",t)}forwardInput(t){return Pe.tidy(()=>Pe.softmax(this.runNet(t)))}async forward(t){return this.forwardInput(await C(t))}async predictExpressions(t){let e=await C(t),r=await this.forwardInput(e),n=await Promise.all(Pe.unstack(r).map(async s=>{let i=s.dataSync();return s.dispose(),i}));r.dispose();let a=n.map(s=>new yt(s));return e.isBatchInput?a:a[0]}getDefaultModelName(){return"face_expression_model"}getClassifierChannelsIn(){return 256}getClassifierChannelsOut(){return 7}};function ao(o){return o.expressions instanceof yt}function xr(o,t){return{...o,...{expressions:t}}}function Rn(o,t,e=.1,r){(Array.isArray(t)?t:[t]).forEach(a=>{let s=a instanceof yt?a:ao(a)?a.expressions:void 0;if(!s)throw new Error("drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof");let c=s.asSortedArray().filter(u=>u.probability>e),m=pt(a)?a.detection.box.bottomLeft:r||new b(0,0);new gt(c.map(u=>`${u.expression} (${Ht(u.probability)})`),m).draw(o)})}function Zt(o){return pt(o)&&o.landmarks instanceof z&&o.unshiftedLandmarks instanceof z&&o.alignedRect instanceof M}function $n(o){let t=(i,c,m,p)=>Math.atan2(p-c,m-i)%Math.PI,e=i=>i*180/Math.PI,r={roll:void 0,pitch:void 0,yaw:void 0};if(!o||!o._positions||o._positions.length!==68)return r;let n=o._positions;r.roll=-t(n[36]._x,n[36]._y,n[45]._x,n[45]._y),r.pitch=t(0,Math.abs(n[0]._x-n[30]._x)/n[30]._x,Math.PI,Math.abs(n[16]._x-n[30]._x)/n[30]._x);let a=n.reduce((i,c)=>ii>c._y?i:c._y,-1/0);return r.yaw=Math.PI*(o._imgDims._height/(s-a)/1.4-1),r}function we(o,t){let{box:e}=o.detection,r=t.shiftBy(e.x,e.y),n=r.align(),{imageDims:a}=o.detection,s=new M(o.detection.score,n.rescale(a.reverse()),a),i=$n(t);return{...o,...{landmarks:r,unshiftedLandmarks:t,alignedRect:s,angle:i}}}var vr=class{constructor(t={}){let{drawLines:e=!0,drawPoints:r=!0,lineWidth:n,lineColor:a,pointSize:s,pointColor:i}=t;this.drawLines=e,this.drawPoints=r,this.lineWidth=n||1,this.pointSize=s||2,this.lineColor=a||"rgba(0, 255, 255, 1)",this.pointColor=i||"rgba(255, 0, 255, 1)"}},yr=class{constructor(t,e={}){this.faceLandmarks=t,this.options=new vr(e)}draw(t){let e=O(t),{drawLines:r,drawPoints:n,lineWidth:a,lineColor:s,pointSize:i,pointColor:c}=this.options;if(r&&this.faceLandmarks instanceof Gt&&(e.strokeStyle=s,e.lineWidth=a,dt(e,this.faceLandmarks.getJawOutline()),dt(e,this.faceLandmarks.getLeftEyeBrow()),dt(e,this.faceLandmarks.getRightEyeBrow()),dt(e,this.faceLandmarks.getNose()),dt(e,this.faceLandmarks.getLeftEye(),!0),dt(e,this.faceLandmarks.getRightEye(),!0),dt(e,this.faceLandmarks.getMouth(),!0)),n){e.strokeStyle=c,e.fillStyle=c;let m=p=>{e.beginPath(),e.arc(p.x,p.y,i,0,2*Math.PI),e.fill()};this.faceLandmarks.positions.forEach(m)}}};function On(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let n=r instanceof z?r:Zt(r)?r.landmarks:void 0;if(!n)throw new Error("drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks> or array thereof");new yr(n).draw(o)})}var No="1.7.5";var ft=v(x());var S=v(x());function Vn(o,t){let e=be(o,t),r=ge(o,t);function n(s,i,c){let m=r(s,i,`${c}/separable_conv0`),p=r(i,i,`${c}/separable_conv1`),u=e(s,i,1,`${c}/expansion_conv`);return{separable_conv0:m,separable_conv1:p,expansion_conv:u}}function a(s,i){let c=r(s,s,`${i}/separable_conv0`),m=r(s,s,`${i}/separable_conv1`),p=r(s,s,`${i}/separable_conv2`);return{separable_conv0:c,separable_conv1:m,separable_conv2:p}}return{extractConvParams:e,extractSeparableConvParams:r,extractReductionBlockParams:n,extractMainBlockParams:a}}function So(o,t){let e=[],{extractWeights:r,getRemainingWeights:n}=R(o),{extractConvParams:a,extractSeparableConvParams:s,extractReductionBlockParams:i,extractMainBlockParams:c}=Vn(r,e),m=a(3,32,3,"entry_flow/conv_in"),p=i(32,64,"entry_flow/reduction_block_0"),u=i(64,128,"entry_flow/reduction_block_1"),f={conv_in:m,reduction_block_0:p,reduction_block_1:u},l={};it(t,0,1).forEach(h=>{l[`main_block_${h}`]=c(128,`middle_flow/main_block_${h}`)});let g=i(128,256,"exit_flow/reduction_block"),T=s(256,512,"exit_flow/separable_conv"),D={reduction_block:g,separable_conv:T};if(n().length!==0)throw new Error(`weights remaing after extract: ${n().length}`);return{paramMappings:e,params:{entry_flow:f,middle_flow:l,exit_flow:D}}}function Yn(o,t){let e=Y(o,t),r=hr(e),n=xe(e);function a(i){let c=n(`${i}/separable_conv0`),m=n(`${i}/separable_conv1`),p=r(`${i}/expansion_conv`);return{separable_conv0:c,separable_conv1:m,expansion_conv:p}}function s(i){let c=n(`${i}/separable_conv0`),m=n(`${i}/separable_conv1`),p=n(`${i}/separable_conv2`);return{separable_conv0:c,separable_conv1:m,separable_conv2:p}}return{extractConvParams:r,extractSeparableConvParams:n,extractReductionBlockParams:a,extractMainBlockParams:s}}function Lo(o,t){let e=[],{extractConvParams:r,extractSeparableConvParams:n,extractReductionBlockParams:a,extractMainBlockParams:s}=Yn(o,e),i=r("entry_flow/conv_in"),c=a("entry_flow/reduction_block_0"),m=a("entry_flow/reduction_block_1"),p={conv_in:i,reduction_block_0:c,reduction_block_1:m},u={};it(t,0,1).forEach(T=>{u[`main_block_${T}`]=s(`middle_flow/main_block_${T}`)});let f=a("exit_flow/reduction_block"),l=n("exit_flow/separable_conv"),g={reduction_block:f,separable_conv:l};return B(o,e),{params:{entry_flow:p,middle_flow:u,exit_flow:g},paramMappings:e}}function Ao(o,t,e){return S.add(S.conv2d(o,t.filters,e,"same"),t.bias)}function io(o,t,e=!0){let r=e?S.relu(o):o;return r=H(r,t.separable_conv0,[1,1]),r=H(S.relu(r),t.separable_conv1,[1,1]),r=S.maxPool(r,[3,3],[2,2],"same"),r=S.add(r,Ao(o,t.expansion_conv,[2,2])),r}function Gn(o,t){let e=H(S.relu(o),t.separable_conv0,[1,1]);return e=H(S.relu(e),t.separable_conv1,[1,1]),e=H(S.relu(e),t.separable_conv2,[1,1]),e=S.add(e,o),e}var _r=class extends A{constructor(e){super("TinyXception");this._numMainBlocks=e}forwardInput(e){let{params:r}=this;if(!r)throw new Error("TinyXception - load model before inference");return S.tidy(()=>{let n=S.cast(e.toBatchTensor(112,!0),"float32"),s=rt(n,[122.782,117.001,104.298]).div(255),i=S.relu(Ao(s,r.entry_flow.conv_in,[2,2]));return i=io(i,r.entry_flow.reduction_block_0,!1),i=io(i,r.entry_flow.reduction_block_1),it(this._numMainBlocks,0,1).forEach(c=>{i=Gn(i,r.middle_flow[`main_block_${c}`])}),i=io(i,r.exit_flow.reduction_block),i=S.relu(H(i,r.exit_flow.separable_conv,[1,1])),i})}async forward(e){return this.forwardInput(await C(e))}getDefaultModelName(){return"tiny_xception_model"}extractParamsFromWeightMap(e){return Lo(e,this._numMainBlocks)}extractParams(e){return So(e,this._numMainBlocks)}};function Wo(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),n=lr(e,t),a=n(512,1,"fc/age"),s=n(512,2,"fc/gender");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{fc:{age:a,gender:s}}}}function ko(o){let t=[],e=Y(o,t);function r(a){let s=e(`${a}/weights`,2),i=e(`${a}/bias`,1);return{weights:s,bias:i}}let n={fc:{age:r("fc/age"),gender:r("fc/gender")}};return B(o,t),{params:n,paramMappings:t}}var Tr=(e=>(e.FEMALE="female",e.MALE="male",e))(Tr||{});var He=class extends A{constructor(e=new _r(2)){super("AgeGenderNet");this._faceFeatureExtractor=e}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return ft.tidy(()=>{let n=e instanceof ut?this.faceFeatureExtractor.forwardInput(e):e,a=ft.avgPool(n,[7,7],[2,2],"valid").as2D(n.shape[0],-1),s=$e(a,r.fc.age).as1D(),i=$e(a,r.fc.gender);return{age:s,gender:i}})}forwardInput(e){return ft.tidy(()=>{let{age:r,gender:n}=this.runNet(e);return{age:r,gender:ft.softmax(n)}})}async forward(e){return this.forwardInput(await C(e))}async predictAgeAndGender(e){let r=await C(e),n=await this.forwardInput(r),a=ft.unstack(n.age),s=ft.unstack(n.gender),i=a.map((m,p)=>({ageTensor:m,genderTensor:s[p]})),c=await Promise.all(i.map(async({ageTensor:m,genderTensor:p})=>{let u=m.dataSync()[0],f=p.dataSync()[0],l=f>.5,g=l?"male":"female",T=l?f:1-f;return m.dispose(),p.dispose(),{age:u,gender:g,genderProbability:T}}));return n.age.dispose(),n.gender.dispose(),r.isBatchInput?c:c[0]}getDefaultModelName(){return"age_gender_model"}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:n}=this.extractClassifierParams(e);this._params=r,this._paramMappings=n}extractClassifierParams(e){return Wo(e)}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:n}=gr(e);return this.faceFeatureExtractor.loadFromWeightMap(r),ko(n)}extractParams(e){let n=e.slice(0,e.length-1539),a=e.slice(e.length-1539);return this.faceFeatureExtractor.extractWeights(n),this.extractClassifierParams(a)}};var G=v(x());var Fe=class extends Te{postProcess(t,e,r){let n=r.map(({width:s,height:i})=>{let c=e/Math.max(i,s);return{width:s*c,height:i*c}}),a=n.length;return G.tidy(()=>{let s=(u,f)=>G.stack([G.fill([68],u,"float32"),G.fill([68],f,"float32")],1).as2D(1,136).as1D(),i=(u,f)=>{let{width:l,height:g}=n[u];return f(l,g)?Math.abs(l-g)/2:0},c=u=>i(u,(f,l)=>fi(u,(f,l)=>ls(c(f),m(f))))).div(G.stack(Array.from(Array(a),(u,f)=>s(n[f].width,n[f].height))))})}forwardInput(t){return G.tidy(()=>{let e=this.runNet(t);return this.postProcess(e,t.inputSize,t.inputDimensions.map(([r,n])=>({height:r,width:n})))})}async forward(t){return this.forwardInput(await C(t))}async detectLandmarks(t){let e=await C(t),r=G.tidy(()=>G.unstack(this.forwardInput(e))),n=await Promise.all(r.map(async(a,s)=>{let i=Array.from(a.dataSync()),c=i.filter((p,u)=>rr(u)),m=i.filter((p,u)=>!rr(u));return new Gt(Array(68).fill(0).map((p,u)=>new b(c[u],m[u])),{height:e.getInputHeight(s),width:e.getInputWidth(s)})}));return r.forEach(a=>a.dispose()),e.isBatchInput?n:n[0]}getClassifierChannelsOut(){return 136}};var Kt=class extends Fe{constructor(t=new ve){super("FaceLandmark68Net",t)}getDefaultModelName(){return"face_landmark_68_model"}getClassifierChannelsIn(){return 256}};var De=v(x());function Bo(o){let t=[],{extractDenseBlock3Params:e}=br(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2")};return B(o,t),{params:r,paramMappings:t}}function Ro(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractDenseBlock3Params:n}=dr(e,t),a=n(3,32,"dense0",!0),s=n(32,64,"dense1"),i=n(64,128,"dense2");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:a,dense1:s,dense2:i}}}var Pr=class extends A{constructor(){super("TinyFaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("TinyFaceFeatureExtractor - load model before inference");return De.tidy(()=>{let r=De.cast(t.toBatchTensor(112,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=pr(a,e.dense0,!0);return s=pr(s,e.dense1),s=pr(s,e.dense2),s=De.avgPool(s,[14,14],[2,2],"valid"),s})}async forward(t){return this.forwardInput(await C(t))}getDefaultModelName(){return"face_feature_extractor_tiny_model"}extractParamsFromWeightMap(t){return Bo(t)}extractParams(t){return Ro(t)}};var ze=class extends Fe{constructor(t=new Pr){super("FaceLandmark68TinyNet",t)}getDefaultModelName(){return"face_landmark_68_tiny_model"}getClassifierChannelsIn(){return 128}};var co=class extends Kt{};var nt=v(x());var Ee=v(x());var wr=v(x());function $o(o,t){return wr.add(wr.mul(o,t.weights),t.biases)}function mo(o,t,e,r,n="same"){let{filters:a,bias:s}=t.conv,i=Ee.conv2d(o,a,e,n);return i=Ee.add(i,s),i=$o(i,t.scale),r?Ee.relu(i):i}function Oo(o,t){return mo(o,t,[1,1],!0)}function po(o,t){return mo(o,t,[1,1],!1)}function Fr(o,t){return mo(o,t,[2,2],!0,"valid")}var j=v(x());function jn(o,t){function e(i,c,m){let p=o(i),u=p.length/(c*m*m);if(Br(u))throw new Error(`depth has to be an integer: ${u}, weights.length: ${p.length}, numFilters: ${c}, filterSize: ${m}`);return j.tidy(()=>j.transpose(j.tensor4d(p,[c,u,m,m]),[2,3,1,0]))}function r(i,c,m,p){let u=e(i,c,m),f=j.tensor1d(o(c));return t.push({paramPath:`${p}/filters`},{paramPath:`${p}/bias`}),{filters:u,bias:f}}function n(i,c){let m=j.tensor1d(o(i)),p=j.tensor1d(o(i));return t.push({paramPath:`${c}/weights`},{paramPath:`${c}/biases`}),{weights:m,biases:p}}function a(i,c,m,p){let u=r(i,c,m,`${p}/conv`),f=n(c,`${p}/scale`);return{conv:u,scale:f}}function s(i,c,m,p,u=!1){let f=a((u?.5:1)*i,c,m,`${p}/conv1`),l=a(i,c,m,`${p}/conv2`);return{conv1:f,conv2:l}}return{extractConvLayerParams:a,extractResidualLayerParams:s}}function Ho(o){let{extractWeights:t,getRemainingWeights:e}=R(o),r=[],{extractConvLayerParams:n,extractResidualLayerParams:a}=jn(t,r),s=n(4704,32,7,"conv32_down"),i=a(9216,32,3,"conv32_1"),c=a(9216,32,3,"conv32_2"),m=a(9216,32,3,"conv32_3"),p=a(36864,64,3,"conv64_down",!0),u=a(36864,64,3,"conv64_1"),f=a(36864,64,3,"conv64_2"),l=a(36864,64,3,"conv64_3"),g=a(147456,128,3,"conv128_down",!0),T=a(147456,128,3,"conv128_1"),D=a(147456,128,3,"conv128_2"),h=a(589824,256,3,"conv256_down",!0),_=a(589824,256,3,"conv256_1"),y=a(589824,256,3,"conv256_2"),E=a(589824,256,3,"conv256_down_out"),W=j.tidy(()=>j.transpose(j.tensor2d(t(256*128),[128,256]),[1,0]));if(r.push({paramPath:"fc"}),e().length!==0)throw new Error(`weights remaing after extract: ${e().length}`);return{params:{conv32_down:s,conv32_1:i,conv32_2:c,conv32_3:m,conv64_down:p,conv64_1:u,conv64_2:f,conv64_3:l,conv128_down:g,conv128_1:T,conv128_2:D,conv256_down:h,conv256_1:_,conv256_2:y,conv256_down_out:E,fc:W},paramMappings:r}}function Un(o,t){let e=Y(o,t);function r(s){let i=e(`${s}/scale/weights`,1),c=e(`${s}/scale/biases`,1);return{weights:i,biases:c}}function n(s){let i=e(`${s}/conv/filters`,4),c=e(`${s}/conv/bias`,1),m=r(s);return{conv:{filters:i,bias:c},scale:m}}function a(s){return{conv1:n(`${s}/conv1`),conv2:n(`${s}/conv2`)}}return{extractConvLayerParams:n,extractResidualLayerParams:a}}function zo(o){let t=[],{extractConvLayerParams:e,extractResidualLayerParams:r}=Un(o,t),n=e("conv32_down"),a=r("conv32_1"),s=r("conv32_2"),i=r("conv32_3"),c=r("conv64_down"),m=r("conv64_1"),p=r("conv64_2"),u=r("conv64_3"),f=r("conv128_down"),l=r("conv128_1"),g=r("conv128_2"),T=r("conv256_down"),D=r("conv256_1"),h=r("conv256_2"),_=r("conv256_down_out"),{fc:y}=o;if(t.push({originalPath:"fc",paramPath:"fc"}),!kr(y))throw new Error(`expected weightMap[fc] to be a Tensor2D, instead have ${y}`);let E={conv32_down:n,conv32_1:a,conv32_2:s,conv32_3:i,conv64_down:c,conv64_1:m,conv64_2:p,conv64_3:u,conv128_down:f,conv128_1:l,conv128_2:g,conv256_down:T,conv256_1:D,conv256_2:h,conv256_down_out:_,fc:y};return B(o,t),{params:E,paramMappings:t}}var $=v(x());function ot(o,t){let e=Oo(o,t.conv1);return e=po(e,t.conv2),e=$.add(e,o),e=$.relu(e),e}function Ve(o,t){let e=Fr(o,t.conv1);e=po(e,t.conv2);let r=$.avgPool(o,2,2,"valid"),n=$.zeros(r.shape),a=r.shape[3]!==e.shape[3];if(r.shape[1]!==e.shape[1]||r.shape[2]!==e.shape[2]){let i=[...e.shape];i[1]=1;let c=$.zeros(i);e=$.concat([e,c],1);let m=[...e.shape];m[2]=1;let p=$.zeros(m);e=$.concat([e,p],2)}return r=a?$.concat([r,n],3):r,e=$.add(r,e),e=$.relu(e),e}var Qt=class extends A{constructor(){super("FaceRecognitionNet")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceRecognitionNet - load model before inference");return nt.tidy(()=>{let r=nt.cast(t.toBatchTensor(150,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=Fr(a,e.conv32_down);s=nt.maxPool(s,3,2,"valid"),s=ot(s,e.conv32_1),s=ot(s,e.conv32_2),s=ot(s,e.conv32_3),s=Ve(s,e.conv64_down),s=ot(s,e.conv64_1),s=ot(s,e.conv64_2),s=ot(s,e.conv64_3),s=Ve(s,e.conv128_down),s=ot(s,e.conv128_1),s=ot(s,e.conv128_2),s=Ve(s,e.conv256_down),s=ot(s,e.conv256_1),s=ot(s,e.conv256_2),s=Ve(s,e.conv256_down_out);let i=s.mean([1,2]);return nt.matMul(i,e.fc)})}async forward(t){return this.forwardInput(await C(t))}async computeFaceDescriptor(t){var a;if((a=t==null?void 0:t.shape)!=null&&a.some(s=>s<=0))return new Float32Array(128);let e=await C(t),r=nt.tidy(()=>nt.unstack(this.forwardInput(e))),n=await Promise.all(r.map(s=>s.data()));return r.forEach(s=>s.dispose()),e.isBatchInput?n:n[0]}getDefaultModelName(){return"face_recognition_model"}extractParamsFromWeightMap(t){return zo(t)}extractParams(t){return Ho(t)}};function Xn(o){let t=new Qt;return t.extractWeights(o),t}function Dr(o,t){return{...o,...{descriptor:t}}}function Jn(o){return typeof o.age=="number"}function Er(o,t){return{...o,...{age:t}}}function qn(o){return(o.gender==="male"||o.gender==="female")&&me(o.genderProbability)}function Mr(o,t,e){return{...o,...{gender:t,genderProbability:e}}}var Lt=v(x());var at=v(x());function Zn(o,t){function e(c,m){let p=at.tensor4d(o(9*c),[3,3,c,1]),u=at.tensor1d(o(c)),f=at.tensor1d(o(c)),l=at.tensor1d(o(c)),g=at.tensor1d(o(c));return t.push({paramPath:`${m}/filters`},{paramPath:`${m}/batch_norm_scale`},{paramPath:`${m}/batch_norm_offset`},{paramPath:`${m}/batch_norm_mean`},{paramPath:`${m}/batch_norm_variance`}),{filters:p,batch_norm_scale:u,batch_norm_offset:f,batch_norm_mean:l,batch_norm_variance:g}}function r(c,m,p,u,f){let l=at.tensor4d(o(c*m*p*p),[p,p,c,m]),g=at.tensor1d(o(m));return t.push({paramPath:`${u}/filters`},{paramPath:`${u}/${f?"batch_norm_offset":"bias"}`}),{filters:l,bias:g}}function n(c,m,p,u){let{filters:f,bias:l}=r(c,m,p,u,!0);return{filters:f,batch_norm_offset:l}}function a(c,m,p){let u=e(c,`${p}/depthwise_conv`),f=n(c,m,1,`${p}/pointwise_conv`);return{depthwise_conv:u,pointwise_conv:f}}function s(){let c=n(3,32,3,"mobilenetv1/conv_0"),m=a(32,64,"mobilenetv1/conv_1"),p=a(64,128,"mobilenetv1/conv_2"),u=a(128,128,"mobilenetv1/conv_3"),f=a(128,256,"mobilenetv1/conv_4"),l=a(256,256,"mobilenetv1/conv_5"),g=a(256,512,"mobilenetv1/conv_6"),T=a(512,512,"mobilenetv1/conv_7"),D=a(512,512,"mobilenetv1/conv_8"),h=a(512,512,"mobilenetv1/conv_9"),_=a(512,512,"mobilenetv1/conv_10"),y=a(512,512,"mobilenetv1/conv_11"),E=a(512,1024,"mobilenetv1/conv_12"),W=a(1024,1024,"mobilenetv1/conv_13");return{conv_0:c,conv_1:m,conv_2:p,conv_3:u,conv_4:f,conv_5:l,conv_6:g,conv_7:T,conv_8:D,conv_9:h,conv_10:_,conv_11:y,conv_12:E,conv_13:W}}function i(){let c=n(1024,256,1,"prediction_layer/conv_0"),m=n(256,512,3,"prediction_layer/conv_1"),p=n(512,128,1,"prediction_layer/conv_2"),u=n(128,256,3,"prediction_layer/conv_3"),f=n(256,128,1,"prediction_layer/conv_4"),l=n(128,256,3,"prediction_layer/conv_5"),g=n(256,64,1,"prediction_layer/conv_6"),T=n(64,128,3,"prediction_layer/conv_7"),D=r(512,12,1,"prediction_layer/box_predictor_0/box_encoding_predictor"),h=r(512,9,1,"prediction_layer/box_predictor_0/class_predictor"),_=r(1024,24,1,"prediction_layer/box_predictor_1/box_encoding_predictor"),y=r(1024,18,1,"prediction_layer/box_predictor_1/class_predictor"),E=r(512,24,1,"prediction_layer/box_predictor_2/box_encoding_predictor"),W=r(512,18,1,"prediction_layer/box_predictor_2/class_predictor"),tt=r(256,24,1,"prediction_layer/box_predictor_3/box_encoding_predictor"),lt=r(256,18,1,"prediction_layer/box_predictor_3/class_predictor"),q=r(256,24,1,"prediction_layer/box_predictor_4/box_encoding_predictor"),Dt=r(256,18,1,"prediction_layer/box_predictor_4/class_predictor"),Et=r(128,24,1,"prediction_layer/box_predictor_5/box_encoding_predictor"),Mt=r(128,18,1,"prediction_layer/box_predictor_5/class_predictor");return{conv_0:c,conv_1:m,conv_2:p,conv_3:u,conv_4:f,conv_5:l,conv_6:g,conv_7:T,box_predictor_0:{box_encoding_predictor:D,class_predictor:h},box_predictor_1:{box_encoding_predictor:_,class_predictor:y},box_predictor_2:{box_encoding_predictor:E,class_predictor:W},box_predictor_3:{box_encoding_predictor:tt,class_predictor:lt},box_predictor_4:{box_encoding_predictor:q,class_predictor:Dt},box_predictor_5:{box_encoding_predictor:Et,class_predictor:Mt}}}return{extractMobilenetV1Params:s,extractPredictionLayerParams:i}}function Vo(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractMobilenetV1Params:n,extractPredictionLayerParams:a}=Zn(e,t),s=n(),i=a(),m={extra_dim:at.tensor3d(e(5118*4),[1,5118,4])};if(t.push({paramPath:"output_layer/extra_dim"}),r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{params:{mobilenetv1:s,prediction_layer:i,output_layer:m},paramMappings:t}}function Kn(o,t){let e=Y(o,t);function r(m,p,u){let f=e(`${m}/Conv2d_${p}_pointwise/weights`,4,`${u}/filters`),l=e(`${m}/Conv2d_${p}_pointwise/convolution_bn_offset`,1,`${u}/batch_norm_offset`);return{filters:f,batch_norm_offset:l}}function n(m){let p=`mobilenetv1/conv_${m}`,u=`MobilenetV1/Conv2d_${m}_depthwise`,f=`${p}/depthwise_conv`,l=`${p}/pointwise_conv`,g=e(`${u}/depthwise_weights`,4,`${f}/filters`),T=e(`${u}/BatchNorm/gamma`,1,`${f}/batch_norm_scale`),D=e(`${u}/BatchNorm/beta`,1,`${f}/batch_norm_offset`),h=e(`${u}/BatchNorm/moving_mean`,1,`${f}/batch_norm_mean`),_=e(`${u}/BatchNorm/moving_variance`,1,`${f}/batch_norm_variance`);return{depthwise_conv:{filters:g,batch_norm_scale:T,batch_norm_offset:D,batch_norm_mean:h,batch_norm_variance:_},pointwise_conv:r("MobilenetV1",m,l)}}function a(){return{conv_0:r("MobilenetV1",0,"mobilenetv1/conv_0"),conv_1:n(1),conv_2:n(2),conv_3:n(3),conv_4:n(4),conv_5:n(5),conv_6:n(6),conv_7:n(7),conv_8:n(8),conv_9:n(9),conv_10:n(10),conv_11:n(11),conv_12:n(12),conv_13:n(13)}}function s(m,p){let u=e(`${m}/weights`,4,`${p}/filters`),f=e(`${m}/biases`,1,`${p}/bias`);return{filters:u,bias:f}}function i(m){let p=s(`Prediction/BoxPredictor_${m}/BoxEncodingPredictor`,`prediction_layer/box_predictor_${m}/box_encoding_predictor`),u=s(`Prediction/BoxPredictor_${m}/ClassPredictor`,`prediction_layer/box_predictor_${m}/class_predictor`);return{box_encoding_predictor:p,class_predictor:u}}function c(){return{conv_0:r("Prediction",0,"prediction_layer/conv_0"),conv_1:r("Prediction",1,"prediction_layer/conv_1"),conv_2:r("Prediction",2,"prediction_layer/conv_2"),conv_3:r("Prediction",3,"prediction_layer/conv_3"),conv_4:r("Prediction",4,"prediction_layer/conv_4"),conv_5:r("Prediction",5,"prediction_layer/conv_5"),conv_6:r("Prediction",6,"prediction_layer/conv_6"),conv_7:r("Prediction",7,"prediction_layer/conv_7"),box_predictor_0:i(0),box_predictor_1:i(1),box_predictor_2:i(2),box_predictor_3:i(3),box_predictor_4:i(4),box_predictor_5:i(5)}}return{extractMobilenetV1Params:a,extractPredictionLayerParams:c}}function Yo(o){let t=[],{extractMobilenetV1Params:e,extractPredictionLayerParams:r}=Kn(o,t),n=o["Output/extra_dim"];if(t.push({originalPath:"Output/extra_dim",paramPath:"output_layer/extra_dim"}),!ht(n))throw new Error(`expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have ${n}`);let a={mobilenetv1:e(),prediction_layer:r(),output_layer:{extra_dim:n}};return B(o,t),{params:a,paramMappings:t}}var _t=v(x());var Nt=v(x());function Z(o,t,e){return Nt.tidy(()=>{let r=Nt.conv2d(o,t.filters,e,"same");return r=Nt.add(r,t.batch_norm_offset),Nt.clipByValue(r,0,6)})}var Qn=.0010000000474974513;function ta(o,t,e){return _t.tidy(()=>{let r=_t.depthwiseConv2d(o,t.filters,e,"same");return r=_t.batchNorm(r,t.batch_norm_mean,t.batch_norm_variance,t.batch_norm_offset,t.batch_norm_scale,Qn),_t.clipByValue(r,0,6)})}function ea(o){return[2,4,6,12].some(t=>t===o)?[2,2]:[1,1]}function Go(o,t){return _t.tidy(()=>{let e,r=Z(o,t.conv_0,[2,2]);if([t.conv_1,t.conv_2,t.conv_3,t.conv_4,t.conv_5,t.conv_6,t.conv_7,t.conv_8,t.conv_9,t.conv_10,t.conv_11,t.conv_12,t.conv_13].forEach((a,s)=>{let i=s+1,c=ea(i);r=ta(r,a.depthwise_conv,c),r=Z(r,a.pointwise_conv,[1,1]),i===11&&(e=r)}),e===null)throw new Error("mobileNetV1 - output of conv layer 11 is null");return{out:r,conv11:e}})}function ra(o,t,e){let r=o.arraySync(),n=Math.min(r[t][0],r[t][2]),a=Math.min(r[t][1],r[t][3]),s=Math.max(r[t][0],r[t][2]),i=Math.max(r[t][1],r[t][3]),c=Math.min(r[e][0],r[e][2]),m=Math.min(r[e][1],r[e][3]),p=Math.max(r[e][0],r[e][2]),u=Math.max(r[e][1],r[e][3]),f=(s-n)*(i-a),l=(p-c)*(u-m);if(f<=0||l<=0)return 0;let g=Math.max(n,c),T=Math.max(a,m),D=Math.min(s,p),h=Math.min(i,u),_=Math.max(D-g,0)*Math.max(h-T,0);return _/(f+l-_)}function jo(o,t,e,r,n){let a=o.shape[0],s=Math.min(e,a),i=t.map((p,u)=>({score:p,boxIndex:u})).filter(p=>p.score>n).sort((p,u)=>u.score-p.score),c=p=>p<=r?1:0,m=[];return i.forEach(p=>{if(m.length>=s)return;let u=p.score;for(let f=m.length-1;f>=0;--f){let l=ra(o,p.boxIndex,m[f]);if(l!==0&&(p.score*=c(l),p.score<=n))break}u===p.score&&m.push(p.boxIndex)}),m}var d=v(x());function oa(o){let t=d.unstack(d.transpose(o,[1,0])),e=[d.sub(t[2],t[0]),d.sub(t[3],t[1])],r=[d.add(t[0],d.div(e[0],2)),d.add(t[1],d.div(e[1],2))];return{sizes:e,centers:r}}function na(o,t){let{sizes:e,centers:r}=oa(o),n=d.unstack(d.transpose(t,[1,0])),a=d.div(d.mul(d.exp(d.div(n[2],5)),e[0]),2),s=d.add(d.mul(d.div(n[0],10),e[0]),r[0]),i=d.div(d.mul(d.exp(d.div(n[3],5)),e[1]),2),c=d.add(d.mul(d.div(n[1],10),e[1]),r[1]);return d.transpose(d.stack([d.sub(s,a),d.sub(c,i),d.add(s,a),d.add(c,i)]),[1,0])}function Uo(o,t,e){return d.tidy(()=>{let r=o.shape[0],n=na(d.reshape(d.tile(e.extra_dim,[r,1,1]),[-1,4]),d.reshape(o,[-1,4]));n=d.reshape(n,[r,n.shape[0]/r,4]);let a=d.sigmoid(d.slice(t,[0,0,1],[-1,-1,-1])),s=d.slice(a,[0,0,0],[-1,-1,1]);s=d.reshape(s,[r,s.shape[1]]);let i=d.unstack(n),c=d.unstack(s);return{boxes:i,scores:c}})}var Ge=v(x());var Ye=v(x());function te(o,t){return Ye.tidy(()=>{let e=o.shape[0],r=Ye.reshape(qt(o,t.box_encoding_predictor),[e,-1,1,4]),n=Ye.reshape(qt(o,t.class_predictor),[e,-1,3]);return{boxPredictionEncoding:r,classPrediction:n}})}function Xo(o,t,e){return Ge.tidy(()=>{let r=Z(o,e.conv_0,[1,1]),n=Z(r,e.conv_1,[2,2]),a=Z(n,e.conv_2,[1,1]),s=Z(a,e.conv_3,[2,2]),i=Z(s,e.conv_4,[1,1]),c=Z(i,e.conv_5,[2,2]),m=Z(c,e.conv_6,[1,1]),p=Z(m,e.conv_7,[2,2]),u=te(t,e.box_predictor_0),f=te(o,e.box_predictor_1),l=te(n,e.box_predictor_2),g=te(s,e.box_predictor_3),T=te(c,e.box_predictor_4),D=te(p,e.box_predictor_5),h=Ge.concat([u.boxPredictionEncoding,f.boxPredictionEncoding,l.boxPredictionEncoding,g.boxPredictionEncoding,T.boxPredictionEncoding,D.boxPredictionEncoding],1),_=Ge.concat([u.classPrediction,f.classPrediction,l.classPrediction,g.classPrediction,T.classPrediction,D.classPrediction],1);return{boxPredictions:h,classPredictions:_}})}var X=class{constructor({minConfidence:t,maxResults:e}={}){this._name="SsdMobilenetv1Options";if(this._minConfidence=t||.5,this._maxResults=e||100,typeof this._minConfidence!="number"||this._minConfidence<=0||this._minConfidence>=1)throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);if(typeof this._maxResults!="number")throw new Error(`${this._name} - expected maxResults to be a number`)}get minConfidence(){return this._minConfidence}get maxResults(){return this._maxResults}};var St=class extends A{constructor(){super("SsdMobilenetv1")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("SsdMobilenetv1 - load model before inference");return Lt.tidy(()=>{let r=Lt.cast(t.toBatchTensor(512,!1),"float32"),n=Lt.sub(Lt.div(r,127.5),1),a=Go(n,e.mobilenetv1),{boxPredictions:s,classPredictions:i}=Xo(a.out,a.conv11,e.prediction_layer);return Uo(s,i,e.output_layer)})}async forward(t){return this.forwardInput(await C(t))}async locateFaces(t,e={}){let{maxResults:r,minConfidence:n}=new X(e),a=await C(t),{boxes:s,scores:i}=this.forwardInput(a),c=s[0],m=i[0];for(let y=1;y{let[E,W]=[Math.max(0,h[y][0]),Math.min(1,h[y][2])].map(q=>q*D),[tt,lt]=[Math.max(0,h[y][1]),Math.min(1,h[y][3])].map(q=>q*T);return new M(p[y],new Yt(tt,E,lt-tt,W-E),{height:a.getInputHeight(0),width:a.getInputWidth(0)})});return c.dispose(),m.dispose(),_}getDefaultModelName(){return"ssd_mobilenetv1_model"}extractParamsFromWeightMap(t){return Yo(t)}extractParams(t){return Vo(t)}};function Jo(o){let t=new St;return t.extractWeights(o),t}function aa(o){return Jo(o)}var uo=class extends St{};var qo=.4,Zo=[new b(.738768,.874946),new b(2.42204,2.65704),new b(4.30971,7.04493),new b(10.246,4.59428),new b(12.6868,11.8741)],Ko=[new b(1.603231,2.094468),new b(6.041143,7.080126),new b(2.882459,3.518061),new b(4.266906,5.178857),new b(9.041765,10.66308)],Qo=[117.001,114.697,97.404],tn="tiny_yolov2_model",en="tiny_yolov2_separable_conv_model";var N=v(x());var Cr=o=>typeof o=="number";function fo(o){if(!o)throw new Error(`invalid config: ${o}`);if(typeof o.withSeparableConvs!="boolean")throw new Error(`config.withSeparableConvs has to be a boolean, have: ${o.withSeparableConvs}`);if(!Cr(o.iouThreshold)||o.iouThreshold<0||o.iouThreshold>1)throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${o.iouThreshold}`);if(!Array.isArray(o.classes)||!o.classes.length||!o.classes.every(t=>typeof t=="string"))throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(o.classes)}`);if(!Array.isArray(o.anchors)||!o.anchors.length||!o.anchors.map(t=>t||{}).every(t=>Cr(t.x)&&Cr(t.y)))throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(o.anchors)}`);if(o.meanRgb&&(!Array.isArray(o.meanRgb)||o.meanRgb.length!==3||!o.meanRgb.every(Cr)))throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(o.meanRgb)}`)}var Q=v(x());var K=v(x());function Me(o){return K.tidy(()=>{let t=K.mul(o,K.scalar(.10000000149011612));return K.add(K.relu(K.sub(o,t)),t)})}function Tt(o,t){return Q.tidy(()=>{let e=Q.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=Q.conv2d(e,t.conv.filters,[1,1],"valid"),e=Q.sub(e,t.bn.sub),e=Q.mul(e,t.bn.truediv),e=Q.add(e,t.conv.bias),Me(e)})}var At=v(x());function Pt(o,t){return At.tidy(()=>{let e=At.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=At.separableConv2d(e,t.depthwise_filter,t.pointwise_filter,[1,1],"valid"),e=At.add(e,t.bias),Me(e)})}var lo=v(x());function sa(o,t){let e=be(o,t);function r(s,i){let c=lo.tensor1d(o(s)),m=lo.tensor1d(o(s));return t.push({paramPath:`${i}/sub`},{paramPath:`${i}/truediv`}),{sub:c,truediv:m}}function n(s,i,c){let m=e(s,i,3,`${c}/conv`),p=r(i,`${c}/bn`);return{conv:m,bn:p}}let a=ge(o,t);return{extractConvParams:e,extractConvWithBatchNormParams:n,extractSeparableConvParams:a}}function rn(o,t,e,r){let{extractWeights:n,getRemainingWeights:a}=R(o),s=[],{extractConvParams:i,extractConvWithBatchNormParams:c,extractSeparableConvParams:m}=sa(n,s),p;if(t.withSeparableConvs){let[u,f,l,g,T,D,h,_,y]=r,E=t.isFirstLayerConv2d?i(u,f,3,"conv0"):m(u,f,"conv0"),W=m(f,l,"conv1"),tt=m(l,g,"conv2"),lt=m(g,T,"conv3"),q=m(T,D,"conv4"),Dt=m(D,h,"conv5"),Et=_?m(h,_,"conv6"):void 0,Mt=y?m(_,y,"conv7"):void 0,$t=i(y||_||h,5*e,1,"conv8");p={conv0:E,conv1:W,conv2:tt,conv3:lt,conv4:q,conv5:Dt,conv6:Et,conv7:Mt,conv8:$t}}else{let[u,f,l,g,T,D,h,_,y]=r,E=c(u,f,"conv0"),W=c(f,l,"conv1"),tt=c(l,g,"conv2"),lt=c(g,T,"conv3"),q=c(T,D,"conv4"),Dt=c(D,h,"conv5"),Et=c(h,_,"conv6"),Mt=c(_,y,"conv7"),$t=i(y,5*e,1,"conv8");p={conv0:E,conv1:W,conv2:tt,conv3:lt,conv4:q,conv5:Dt,conv6:Et,conv7:Mt,conv8:$t}}if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{params:p,paramMappings:s}}function ia(o,t){let e=Y(o,t);function r(i){let c=e(`${i}/sub`,1),m=e(`${i}/truediv`,1);return{sub:c,truediv:m}}function n(i){let c=e(`${i}/filters`,4),m=e(`${i}/bias`,1);return{filters:c,bias:m}}function a(i){let c=n(`${i}/conv`),m=r(`${i}/bn`);return{conv:c,bn:m}}let s=xe(e);return{extractConvParams:n,extractConvWithBatchNormParams:a,extractSeparableConvParams:s}}function on(o,t){let e=[],{extractConvParams:r,extractConvWithBatchNormParams:n,extractSeparableConvParams:a}=ia(o,e),s;if(t.withSeparableConvs){let i=t.filterSizes&&t.filterSizes.length||9;s={conv0:t.isFirstLayerConv2d?r("conv0"):a("conv0"),conv1:a("conv1"),conv2:a("conv2"),conv3:a("conv3"),conv4:a("conv4"),conv5:a("conv5"),conv6:i>7?a("conv6"):void 0,conv7:i>8?a("conv7"):void 0,conv8:r("conv8")}}else s={conv0:n("conv0"),conv1:n("conv1"),conv2:n("conv2"),conv3:n("conv3"),conv4:n("conv4"),conv5:n("conv5"),conv6:n("conv6"),conv7:n("conv7"),conv8:r("conv8")};return B(o,e),{params:s,paramMappings:e}}var st=class{constructor({inputSize:t,scoreThreshold:e}={}){this._name="TinyYolov2Options";if(this._inputSize=t||416,this._scoreThreshold=e||.5,typeof this._inputSize!="number"||this._inputSize%32!==0)throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);if(typeof this._scoreThreshold!="number"||this._scoreThreshold<=0||this._scoreThreshold>=1)throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`)}get inputSize(){return this._inputSize}get scoreThreshold(){return this._scoreThreshold}};var ho=class extends A{constructor(e){super("TinyYolov2");fo(e),this._config=e}get config(){return this._config}get withClassScores(){return this.config.withClassScores||this.config.classes.length>1}get boxEncodingSize(){return 5+(this.withClassScores?this.config.classes.length:0)}runTinyYolov2(e,r){let n=Tt(e,r.conv0);return n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv1),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv2),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv3),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv4),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv5),n=N.maxPool(n,[2,2],[1,1],"same"),n=Tt(n,r.conv6),n=Tt(n,r.conv7),qt(n,r.conv8,"valid",!1)}runMobilenet(e,r){let n=this.config.isFirstLayerConv2d?Me(qt(e,r.conv0,"valid",!1)):Pt(e,r.conv0);return n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv1),n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv2),n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv3),n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv4),n=N.maxPool(n,[2,2],[2,2],"same"),n=Pt(n,r.conv5),n=N.maxPool(n,[2,2],[1,1],"same"),n=r.conv6?Pt(n,r.conv6):n,n=r.conv7?Pt(n,r.conv7):n,qt(n,r.conv8,"valid",!1)}forwardInput(e,r){let{params:n}=this;if(!n)throw new Error("TinyYolov2 - load model before inference");return N.tidy(()=>{let a=N.cast(e.toBatchTensor(r,!1),"float32");return a=this.config.meanRgb?rt(a,this.config.meanRgb):a,a=a.div(255),this.config.withSeparableConvs?this.runMobilenet(a,n):this.runTinyYolov2(a,n)})}async forward(e,r){return this.forwardInput(await C(e),r)}async detect(e,r={}){let{inputSize:n,scoreThreshold:a}=new st(r),s=await C(e),i=await this.forwardInput(s,n),c=N.tidy(()=>N.unstack(i)[0].expandDims()),m={width:s.getInputWidth(0),height:s.getInputHeight(0)},p=await this.extractBoxes(c,s.getReshapedInputDimensions(0),a);i.dispose(),c.dispose();let u=p.map(h=>h.box),f=p.map(h=>h.score),l=p.map(h=>h.classScore),g=p.map(h=>this.config.classes[h.label]);return zr(u.map(h=>h.rescale(n)),f,this.config.iouThreshold,!0).map(h=>new bt(f[h],l[h],g[h],u[h],m))}getDefaultModelName(){return""}extractParamsFromWeightMap(e){return on(e,this.config)}extractParams(e){let r=this.config.filterSizes||ho.DEFAULT_FILTER_SIZES,n=r?r.length:void 0;if(n!==7&&n!==8&&n!==9)throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${n} filterSizes in config`);return rn(e,this.config,this.boxEncodingSize,r)}async extractBoxes(e,r,n){let{width:a,height:s}=r,i=Math.max(a,s),c=i/a,m=i/s,p=e.shape[1],u=this.config.anchors.length,[f,l,g]=N.tidy(()=>{let _=e.reshape([p,p,u,this.boxEncodingSize]),y=_.slice([0,0,0,0],[p,p,u,4]),E=_.slice([0,0,0,4],[p,p,u,1]),W=this.withClassScores?N.softmax(_.slice([0,0,0,5],[p,p,u,this.config.classes.length]),3):N.scalar(0);return[y,E,W]}),T=[],D=await l.array(),h=await f.array();for(let _=0;_n){let tt=(y+Ne(h[_][y][E][0]))/p*c,lt=(_+Ne(h[_][y][E][1]))/p*m,q=Math.exp(h[_][y][E][2])*this.config.anchors[E].x/p*c,Dt=Math.exp(h[_][y][E][3])*this.config.anchors[E].y/p*m,Et=tt-q/2,Mt=lt-Dt/2,$t={row:_,col:y,anchor:E},{classScore:xo,label:vo}=this.withClassScores?await this.extractPredictedClass(g,$t):{classScore:1,label:0};T.push({box:new Vt(Et,Mt,Et+q,Mt+Dt),score:W,classScore:W*xo,label:vo,...$t})}}return f.dispose(),l.dispose(),g.dispose(),T}async extractPredictedClass(e,r){let{row:n,col:a,anchor:s}=r,i=await e.array();return Array(this.config.classes.length).fill(0).map((c,m)=>i[n][a][s][m]).map((c,m)=>({classScore:c,label:m})).reduce((c,m)=>c.classScore>m.classScore?c:m)}},ee=ho;ee.DEFAULT_FILTER_SIZES=[3,16,32,64,128,256,512,1024,1024];var re=class extends ee{constructor(t=!0){let e={withSeparableConvs:t,iouThreshold:qo,classes:["face"],...t?{anchors:Ko,meanRgb:Qo}:{anchors:Zo,withClassScores:!0}};super(e)}get withSeparableConvs(){return this.config.withSeparableConvs}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(n=>new M(n.score,n.relativeBox,{width:n.imageWidth,height:n.imageHeight}))}getDefaultModelName(){return this.withSeparableConvs?en:tn}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};function ca(o,t=!0){let e=new re(t);return e.extractWeights(o),e}var je=class extends st{constructor(){super(...arguments);this._name="TinyFaceDetectorOptions"}};var J=class{async then(t){return t(await this.run())}async run(){throw new Error("ComposableTask - run is not implemented")}};var Xe=v(x());var bo=v(x());async function oe(o,t,e,r,n=({alignedRect:a})=>a){let a=o.map(c=>Zt(c)?n(c):c.detection),s=r||(t instanceof bo.Tensor?await de(t,a):await le(t,a)),i=await e(s);return s.forEach(c=>c instanceof bo.Tensor&&c.dispose()),i}async function Ce(o,t,e,r,n){return oe([o],t,async a=>e(a[0]),r,n)}var nn=.4,an=[new b(1.603231,2.094468),new b(6.041143,7.080126),new b(2.882459,3.518061),new b(4.266906,5.178857),new b(9.041765,10.66308)],sn=[117.001,114.697,97.404];var ne=class extends ee{constructor(){let t={withSeparableConvs:!0,iouThreshold:nn,classes:["face"],anchors:an,meanRgb:sn,isFirstLayerConv2d:!0,filterSizes:[3,16,32,64,128,256,512]};super(t)}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(n=>new M(n.score,n.relativeBox,{width:n.imageWidth,height:n.imageHeight}))}getDefaultModelName(){return"tiny_face_detector_model"}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};var w={ssdMobilenetv1:new St,tinyFaceDetector:new ne,tinyYolov2:new re,faceLandmark68Net:new Kt,faceLandmark68TinyNet:new ze,faceRecognitionNet:new Qt,faceExpressionNet:new Oe,ageGenderNet:new He},cn=(o,t)=>w.ssdMobilenetv1.locateFaces(o,t),ma=(o,t)=>w.tinyFaceDetector.locateFaces(o,t),pa=(o,t)=>w.tinyYolov2.locateFaces(o,t),mn=o=>w.faceLandmark68Net.detectLandmarks(o),ua=o=>w.faceLandmark68TinyNet.detectLandmarks(o),fa=o=>w.faceRecognitionNet.computeFaceDescriptor(o),la=o=>w.faceExpressionNet.predictExpressions(o),da=o=>w.ageGenderNet.predictAgeAndGender(o),pn=o=>w.ssdMobilenetv1.load(o),ha=o=>w.tinyFaceDetector.load(o),ba=o=>w.tinyYolov2.load(o),ga=o=>w.faceLandmark68Net.load(o),xa=o=>w.faceLandmark68TinyNet.load(o),va=o=>w.faceRecognitionNet.load(o),ya=o=>w.faceExpressionNet.load(o),_a=o=>w.ageGenderNet.load(o),Ta=pn,Pa=cn,wa=mn;var Ir=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.extractedFaces=n}},ae=class extends Ir{async run(){let t=await this.parentTask,e=await oe(t,this.input,async r=>Promise.all(r.map(n=>w.faceExpressionNet.predictExpressions(n))),this.extractedFaces);return t.map((r,n)=>xr(r,e[n]))}withAgeAndGender(){return new ie(this,this.input)}},se=class extends Ir{async run(){let t=await this.parentTask;if(!t)return;let e=await Ce(t,this.input,r=>w.faceExpressionNet.predictExpressions(r),this.extractedFaces);return xr(t,e)}withAgeAndGender(){return new ce(this,this.input)}},Wt=class extends ae{withAgeAndGender(){return new Bt(this,this.input)}withFaceDescriptors(){return new wt(this,this.input)}},kt=class extends se{withAgeAndGender(){return new Rt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Nr=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.extractedFaces=n}},ie=class extends Nr{async run(){let t=await this.parentTask,e=await oe(t,this.input,async r=>Promise.all(r.map(n=>w.ageGenderNet.predictAgeAndGender(n))),this.extractedFaces);return t.map((r,n)=>{let{age:a,gender:s,genderProbability:i}=e[n];return Er(Mr(r,s,i),a)})}withFaceExpressions(){return new ae(this,this.input)}},ce=class extends Nr{async run(){let t=await this.parentTask;if(!t)return;let{age:e,gender:r,genderProbability:n}=await Ce(t,this.input,a=>w.ageGenderNet.predictAgeAndGender(a),this.extractedFaces);return Er(Mr(t,r,n),e)}withFaceExpressions(){return new se(this,this.input)}},Bt=class extends ie{withFaceExpressions(){return new Wt(this,this.input)}withFaceDescriptors(){return new wt(this,this.input)}},Rt=class extends ce{withFaceExpressions(){return new kt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Ue=class extends J{constructor(e,r){super();this.parentTask=e;this.input=r}},wt=class extends Ue{async run(){let t=await this.parentTask;return(await oe(t,this.input,r=>Promise.all(r.map(n=>w.faceRecognitionNet.computeFaceDescriptor(n))),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}))).map((r,n)=>Dr(t[n],r))}withFaceExpressions(){return new Wt(this,this.input)}withAgeAndGender(){return new Bt(this,this.input)}},Ft=class extends Ue{async run(){let t=await this.parentTask;if(!t)return;let e=await Ce(t,this.input,r=>w.faceRecognitionNet.computeFaceDescriptor(r),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}));return Dr(t,e)}withFaceExpressions(){return new kt(this,this.input)}withAgeAndGender(){return new Rt(this,this.input)}};var Je=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.useTinyLandmarkNet=n}get landmarkNet(){return this.useTinyLandmarkNet?w.faceLandmark68TinyNet:w.faceLandmark68Net}},qe=class extends Je{async run(){let t=await this.parentTask,e=t.map(s=>s.detection),r=this.input instanceof Xe.Tensor?await de(this.input,e):await le(this.input,e),n=await Promise.all(r.map(s=>this.landmarkNet.detectLandmarks(s)));return r.forEach(s=>s instanceof Xe.Tensor&&s.dispose()),t.filter((s,i)=>n[i]).map((s,i)=>we(s,n[i]))}withFaceExpressions(){return new Wt(this,this.input)}withAgeAndGender(){return new Bt(this,this.input)}withFaceDescriptors(){return new wt(this,this.input)}},Ze=class extends Je{async run(){let t=await this.parentTask;if(!t)return;let{detection:e}=t,r=this.input instanceof Xe.Tensor?await de(this.input,[e]):await le(this.input,[e]),n=await this.landmarkNet.detectLandmarks(r[0]);return r.forEach(a=>a instanceof Xe.Tensor&&a.dispose()),we(t,n)}withFaceExpressions(){return new kt(this,this.input)}withAgeAndGender(){return new Rt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Ke=class extends J{constructor(e,r=new X){super();this.input=e;this.options=r}},Ie=class extends Ke{async run(){let{input:t,options:e}=this,r;if(e instanceof je)r=w.tinyFaceDetector.locateFaces(t,e);else if(e instanceof X)r=w.ssdMobilenetv1.locateFaces(t,e);else if(e instanceof st)r=w.tinyYolov2.locateFaces(t,e);else throw new Error("detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | TinyYolov2Options");return r}runAndExtendWithFaceDetections(){return new Promise((t,e)=>{this.run().then(r=>t(r.map(n=>jt({},n)))).catch(r=>e(r))})}withFaceLandmarks(t=!1){return new qe(this.runAndExtendWithFaceDetections(),this.input,t)}withFaceExpressions(){return new ae(this.runAndExtendWithFaceDetections(),this.input)}withAgeAndGender(){return new ie(this.runAndExtendWithFaceDetections(),this.input)}},Qe=class extends Ke{async run(){let t=await new Ie(this.input,this.options),e=t[0];return t.forEach(r=>{r.score>e.score&&(e=r)}),e}runAndExtendWithFaceDetection(){return new Promise(async t=>{let e=await this.run();t(e?jt({},e):void 0)})}withFaceLandmarks(t=!1){return new Ze(this.runAndExtendWithFaceDetection(),this.input,t)}withFaceExpressions(){return new se(this.runAndExtendWithFaceDetection(),this.input)}withAgeAndGender(){return new ce(this.runAndExtendWithFaceDetection(),this.input)}};function Fa(o,t=new X){return new Qe(o,t)}function Sr(o,t=new X){return new Ie(o,t)}async function un(o,t){return Sr(o,new X(t?{minConfidence:t}:{})).withFaceLandmarks().withFaceDescriptors()}async function Da(o,t={}){return Sr(o,new st(t)).withFaceLandmarks().withFaceDescriptors()}var Ea=un;function go(o,t){if(o.length!==t.length)throw new Error("euclideanDistance: arr1.length !== arr2.length");let e=Array.from(o),r=Array.from(t);return Math.sqrt(e.map((n,a)=>n-r[a]).reduce((n,a)=>n+a*a,0))}var tr=class{constructor(t,e=.6){this._distanceThreshold=e;let r=Array.isArray(t)?t:[t];if(!r.length)throw new Error("FaceRecognizer.constructor - expected atleast one input");let n=1,a=()=>`person ${n++}`;this._labeledDescriptors=r.map(s=>{if(s instanceof mt)return s;if(s instanceof Float32Array)return new mt(a(),[s]);if(s.descriptor&&s.descriptor instanceof Float32Array)return new mt(a(),[s.descriptor]);throw new Error("FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>")})}get labeledDescriptors(){return this._labeledDescriptors}get distanceThreshold(){return this._distanceThreshold}computeMeanDistance(t,e){return e.map(r=>go(r,t)).reduce((r,n)=>r+n,0)/(e.length||1)}matchDescriptor(t){return this.labeledDescriptors.map(({descriptors:e,label:r})=>new pe(r,this.computeMeanDistance(t,e))).reduce((e,r)=>e.distancet.toJSON())}}static fromJSON(t){let e=t.labeledDescriptors.map(r=>mt.fromJSON(r));return new tr(e,t.distanceThreshold)}};function Ma(o){let t=new ne;return t.extractWeights(o),t}function fn(o,t){let{width:e,height:r}=new k(t.width,t.height);if(e<=0||r<=0)throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({width:e,height:r})}`);if(Array.isArray(o))return o.map(n=>fn(n,{width:e,height:r}));if(Zt(o)){let n=o.detection.forSize(e,r),a=o.unshiftedLandmarks.forSize(n.box.width,n.box.height);return we(jt(o,n),a)}return pt(o)?jt(o,o.detection.forSize(e,r)):o instanceof z||o instanceof M?o.forSize(e,r):o}var Ia=No;0&&(module.exports={AgeGenderNet,BoundingBox,Box,ComposableTask,ComputeAllFaceDescriptorsTask,ComputeFaceDescriptorsTaskBase,ComputeSingleFaceDescriptorTask,DetectAllFaceLandmarksTask,DetectAllFacesTask,DetectFaceLandmarksTaskBase,DetectFacesTaskBase,DetectSingleFaceLandmarksTask,DetectSingleFaceTask,Dimensions,FACE_EXPRESSION_LABELS,FaceDetection,FaceDetectionNet,FaceExpressionNet,FaceExpressions,FaceLandmark68Net,FaceLandmark68TinyNet,FaceLandmarkNet,FaceLandmarks,FaceLandmarks5,FaceLandmarks68,FaceMatch,FaceMatcher,FaceRecognitionNet,Gender,LabeledBox,LabeledFaceDescriptors,NetInput,NeuralNetwork,ObjectDetection,Point,PredictedBox,Rect,SsdMobilenetv1,SsdMobilenetv1Options,TinyFaceDetector,TinyFaceDetectorOptions,TinyYolov2,TinyYolov2Options,allFaces,allFacesSsdMobilenetv1,allFacesTinyYolov2,awaitMediaLoaded,bufferToImage,computeFaceDescriptor,createCanvas,createCanvasFromMedia,createFaceDetectionNet,createFaceRecognitionNet,createSsdMobilenetv1,createTinyFaceDetector,createTinyYolov2,detectAllFaces,detectFaceLandmarks,detectFaceLandmarksTiny,detectLandmarks,detectSingleFace,draw,env,euclideanDistance,extendWithAge,extendWithFaceDescriptor,extendWithFaceDetection,extendWithFaceExpressions,extendWithFaceLandmarks,extendWithGender,extractFaceTensors,extractFaces,fetchImage,fetchJson,fetchNetWeights,fetchOrThrow,fetchVideo,getContext2dOrThrow,getMediaDimensions,imageTensorToCanvas,imageToSquare,inverseSigmoid,iou,isMediaElement,isMediaLoaded,isWithAge,isWithFaceDetection,isWithFaceExpressions,isWithFaceLandmarks,isWithGender,loadAgeGenderModel,loadFaceDetectionModel,loadFaceExpressionModel,loadFaceLandmarkModel,loadFaceLandmarkTinyModel,loadFaceRecognitionModel,loadSsdMobilenetv1Model,loadTinyFaceDetectorModel,loadTinyYolov2Model,loadWeightMap,locateFaces,matchDimensions,minBbox,nets,nonMaxSuppression,normalize,padToSquare,predictAgeAndGender,recognizeFaceExpressions,resizeResults,resolveInput,shuffleArray,sigmoid,ssdMobilenetv1,tf,tinyFaceDetector,tinyYolov2,toNetInput,utils,validateConfig,version}); diff --git a/dist/tfjs.esm.js b/dist/tfjs.esm.js index e2d1580..5a5130c 100644 --- a/dist/tfjs.esm.js +++ b/dist/tfjs.esm.js @@ -4,64 +4,65 @@ author: ' */ -var wU=Object.create;var jv=Object.defineProperty;var CU=Object.getOwnPropertyDescriptor;var IU=Object.getOwnPropertyNames;var vU=Object.getPrototypeOf,SU=Object.prototype.hasOwnProperty;var $g=(r=>typeof require!="undefined"?require:typeof Proxy!="undefined"?new Proxy(r,{get:(t,e)=>(typeof require!="undefined"?require:t)[e]}):r)(function(r){if(typeof require!="undefined")return require.apply(this,arguments);throw new Error('Dynamic require of "'+r+'" is not supported')});var dr=(r,t)=>()=>(t||r((t={exports:{}}).exports,t),t.exports),Gt=(r,t)=>{for(var e in t)jv(r,e,{get:t[e],enumerable:!0})},NU=(r,t,e,n)=>{if(t&&typeof t=="object"||typeof t=="function")for(let o of IU(t))!SU.call(r,o)&&o!==e&&jv(r,o,{get:()=>t[o],enumerable:!(n=CU(t,o))||n.enumerable});return r};var Sl=(r,t,e)=>(e=r!=null?wU(vU(r)):{},NU(t||!r||!r.__esModule?jv(e,"default",{value:r,enumerable:!0}):e,r));var C1=dr((flt,w1)=>{w1.exports=We;var co=null;try{co=new WebAssembly.Instance(new WebAssembly.Module(new Uint8Array([0,97,115,109,1,0,0,0,1,13,2,96,0,1,127,96,4,127,127,127,127,1,127,3,7,6,0,1,1,1,1,1,6,6,1,127,1,65,0,11,7,50,6,3,109,117,108,0,1,5,100,105,118,95,115,0,2,5,100,105,118,95,117,0,3,5,114,101,109,95,115,0,4,5,114,101,109,95,117,0,5,8,103,101,116,95,104,105,103,104,0,0,10,191,1,6,4,0,35,0,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,126,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,127,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,128,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,129,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,130,34,4,66,32,135,167,36,0,32,4,167,11])),{}).exports}catch(r){}function We(r,t,e){this.low=r|0,this.high=t|0,this.unsigned=!!e}We.prototype.__isLong__;Object.defineProperty(We.prototype,"__isLong__",{value:!0});function Dn(r){return(r&&r.__isLong__)===!0}We.isLong=Dn;var p1={},m1={};function Mu(r,t){var e,n,o;return t?(r>>>=0,(o=0<=r&&r<256)&&(n=m1[r],n)?n:(e=Ue(r,(r|0)<0?-1:0,!0),o&&(m1[r]=e),e)):(r|=0,(o=-128<=r&&r<128)&&(n=p1[r],n)?n:(e=Ue(r,r<0?-1:0,!1),o&&(p1[r]=e),e))}We.fromInt=Mu;function po(r,t){if(isNaN(r))return t?Lu:mo;if(t){if(r<0)return Lu;if(r>=g1)return b1}else{if(r<=-d1)return $n;if(r+1>=d1)return y1}return r<0?po(-r,t).neg():Ue(r%Bp|0,r/Bp|0,t)}We.fromNumber=po;function Ue(r,t,e){return new We(r,t,e)}We.fromBits=Ue;var Og=Math.pow;function aS(r,t,e){if(r.length===0)throw Error("empty string");if(r==="NaN"||r==="Infinity"||r==="+Infinity"||r==="-Infinity")return mo;if(typeof t=="number"?(e=t,t=!1):t=!!t,e=e||10,e<2||360)throw Error("interior hyphen");if(n===0)return aS(r.substring(1),t,e).neg();for(var o=po(Og(e,8)),s=mo,i=0;i>>0:this.low};gt.toNumber=function(){return this.unsigned?(this.high>>>0)*Bp+(this.low>>>0):this.high*Bp+(this.low>>>0)};gt.toString=function(t){if(t=t||10,t<2||36>>0,c=l.toString(t);if(i=u,i.isZero())return c+a;for(;c.length<6;)c="0"+c;a=""+c+a}};gt.getHighBits=function(){return this.high};gt.getHighBitsUnsigned=function(){return this.high>>>0};gt.getLowBits=function(){return this.low};gt.getLowBitsUnsigned=function(){return this.low>>>0};gt.getNumBitsAbs=function(){if(this.isNegative())return this.eq($n)?64:this.neg().getNumBitsAbs();for(var t=this.high!=0?this.high:this.low,e=31;e>0&&(t&1<=0};gt.isOdd=function(){return(this.low&1)===1};gt.isEven=function(){return(this.low&1)===0};gt.equals=function(t){return Dn(t)||(t=Ps(t)),this.unsigned!==t.unsigned&&this.high>>>31===1&&t.high>>>31===1?!1:this.high===t.high&&this.low===t.low};gt.eq=gt.equals;gt.notEquals=function(t){return!this.eq(t)};gt.neq=gt.notEquals;gt.ne=gt.notEquals;gt.lessThan=function(t){return this.comp(t)<0};gt.lt=gt.lessThan;gt.lessThanOrEqual=function(t){return this.comp(t)<=0};gt.lte=gt.lessThanOrEqual;gt.le=gt.lessThanOrEqual;gt.greaterThan=function(t){return this.comp(t)>0};gt.gt=gt.greaterThan;gt.greaterThanOrEqual=function(t){return this.comp(t)>=0};gt.gte=gt.greaterThanOrEqual;gt.ge=gt.greaterThanOrEqual;gt.compare=function(t){if(Dn(t)||(t=Ps(t)),this.eq(t))return 0;var e=this.isNegative(),n=t.isNegative();return e&&!n?-1:!e&&n?1:this.unsigned?t.high>>>0>this.high>>>0||t.high===this.high&&t.low>>>0>this.low>>>0?-1:1:this.sub(t).isNegative()?-1:1};gt.comp=gt.compare;gt.negate=function(){return!this.unsigned&&this.eq($n)?$n:this.not().add(zp)};gt.neg=gt.negate;gt.add=function(t){Dn(t)||(t=Ps(t));var e=this.high>>>16,n=this.high&65535,o=this.low>>>16,s=this.low&65535,i=t.high>>>16,a=t.high&65535,u=t.low>>>16,l=t.low&65535,c=0,p=0,m=0,f=0;return f+=s+l,m+=f>>>16,f&=65535,m+=o+u,p+=m>>>16,m&=65535,p+=n+a,c+=p>>>16,p&=65535,c+=e+i,c&=65535,Ue(m<<16|f,c<<16|p,this.unsigned)};gt.subtract=function(t){return Dn(t)||(t=Ps(t)),this.add(t.neg())};gt.sub=gt.subtract;gt.multiply=function(t){if(this.isZero())return mo;if(Dn(t)||(t=Ps(t)),co){var e=co.mul(this.low,this.high,t.low,t.high);return Ue(e,co.get_high(),this.unsigned)}if(t.isZero())return mo;if(this.eq($n))return t.isOdd()?$n:mo;if(t.eq($n))return this.isOdd()?$n:mo;if(this.isNegative())return t.isNegative()?this.neg().mul(t.neg()):this.neg().mul(t).neg();if(t.isNegative())return this.mul(t.neg()).neg();if(this.lt(h1)&&t.lt(h1))return po(this.toNumber()*t.toNumber(),this.unsigned);var n=this.high>>>16,o=this.high&65535,s=this.low>>>16,i=this.low&65535,a=t.high>>>16,u=t.high&65535,l=t.low>>>16,c=t.low&65535,p=0,m=0,f=0,d=0;return d+=i*c,f+=d>>>16,d&=65535,f+=s*c,m+=f>>>16,f&=65535,f+=i*l,m+=f>>>16,f&=65535,m+=o*c,p+=m>>>16,m&=65535,m+=s*l,p+=m>>>16,m&=65535,m+=i*u,p+=m>>>16,m&=65535,p+=n*c+o*l+s*u+i*a,p&=65535,Ue(f<<16|d,p<<16|m,this.unsigned)};gt.mul=gt.multiply;gt.divide=function(t){if(Dn(t)||(t=Ps(t)),t.isZero())throw Error("division by zero");if(co){if(!this.unsigned&&this.high===-2147483648&&t.low===-1&&t.high===-1)return this;var e=(this.unsigned?co.div_u:co.div_s)(this.low,this.high,t.low,t.high);return Ue(e,co.get_high(),this.unsigned)}if(this.isZero())return this.unsigned?Lu:mo;var n,o,s;if(this.unsigned){if(t.unsigned||(t=t.toUnsigned()),t.gt(this))return Lu;if(t.gt(this.shru(1)))return x1;s=Lu}else{if(this.eq($n)){if(t.eq(zp)||t.eq(iS))return $n;if(t.eq($n))return zp;var i=this.shr(1);return n=i.div(t).shl(1),n.eq(mo)?t.isNegative()?zp:iS:(o=this.sub(t.mul(n)),s=n.add(o.div(t)),s)}else if(t.eq($n))return this.unsigned?Lu:mo;if(this.isNegative())return t.isNegative()?this.neg().div(t.neg()):this.neg().div(t).neg();if(t.isNegative())return this.div(t.neg()).neg();s=mo}for(o=this;o.gte(t);){n=Math.max(1,Math.floor(o.toNumber()/t.toNumber()));for(var a=Math.ceil(Math.log(n)/Math.LN2),u=a<=48?1:Og(2,a-48),l=po(n),c=l.mul(t);c.isNegative()||c.gt(o);)n-=u,l=po(n,this.unsigned),c=l.mul(t);l.isZero()&&(l=zp),s=s.add(l),o=o.sub(c)}return s};gt.div=gt.divide;gt.modulo=function(t){if(Dn(t)||(t=Ps(t)),co){var e=(this.unsigned?co.rem_u:co.rem_s)(this.low,this.high,t.low,t.high);return Ue(e,co.get_high(),this.unsigned)}return this.sub(this.div(t).mul(t))};gt.mod=gt.modulo;gt.rem=gt.modulo;gt.not=function(){return Ue(~this.low,~this.high,this.unsigned)};gt.and=function(t){return Dn(t)||(t=Ps(t)),Ue(this.low&t.low,this.high&t.high,this.unsigned)};gt.or=function(t){return Dn(t)||(t=Ps(t)),Ue(this.low|t.low,this.high|t.high,this.unsigned)};gt.xor=function(t){return Dn(t)||(t=Ps(t)),Ue(this.low^t.low,this.high^t.high,this.unsigned)};gt.shiftLeft=function(t){return Dn(t)&&(t=t.toInt()),(t&=63)===0?this:t<32?Ue(this.low<>>32-t,this.unsigned):Ue(0,this.low<>>t|this.high<<32-t,this.high>>t,this.unsigned):Ue(this.high>>t-32,this.high>=0?0:-1,this.unsigned)};gt.shr=gt.shiftRight;gt.shiftRightUnsigned=function(t){if(Dn(t)&&(t=t.toInt()),t&=63,t===0)return this;var e=this.high;if(t<32){var n=this.low;return Ue(n>>>t|e<<32-t,e>>>t,this.unsigned)}else return t===32?Ue(e,0,this.unsigned):Ue(e>>>t-32,0,this.unsigned)};gt.shru=gt.shiftRightUnsigned;gt.shr_u=gt.shiftRightUnsigned;gt.toSigned=function(){return this.unsigned?Ue(this.low,this.high,!1):this};gt.toUnsigned=function(){return this.unsigned?this:Ue(this.low,this.high,!0)};gt.toBytes=function(t){return t?this.toBytesLE():this.toBytesBE()};gt.toBytesLE=function(){var t=this.high,e=this.low;return[e&255,e>>>8&255,e>>>16&255,e>>>24,t&255,t>>>8&255,t>>>16&255,t>>>24]};gt.toBytesBE=function(){var t=this.high,e=this.low;return[t>>>24,t>>>16&255,t>>>8&255,t&255,e>>>24,e>>>16&255,e>>>8&255,e&255]};We.fromBytes=function(t,e,n){return n?We.fromBytesLE(t,e):We.fromBytesBE(t,e)};We.fromBytesLE=function(t,e){return new We(t[0]|t[1]<<8|t[2]<<16|t[3]<<24,t[4]|t[5]<<8|t[6]<<16|t[7]<<24,e)};We.fromBytesBE=function(t,e){return new We(t[4]<<24|t[5]<<16|t[6]<<8|t[7],t[0]<<24|t[1]<<16|t[2]<<8|t[3],e)}});var eE=dr(()=>{});var rE=dr(()=>{});var o_=dr((n_,ZS)=>{(function(r,t,e){function n(a){var u=this,l=i();u.next=function(){var c=2091639*u.s0+u.c*23283064365386963e-26;return u.s0=u.s1,u.s1=u.s2,u.s2=c-(u.c=c|0)},u.c=1,u.s0=l(" "),u.s1=l(" "),u.s2=l(" "),u.s0-=l(a),u.s0<0&&(u.s0+=1),u.s1-=l(a),u.s1<0&&(u.s1+=1),u.s2-=l(a),u.s2<0&&(u.s2+=1),l=null}function o(a,u){return u.c=a.c,u.s0=a.s0,u.s1=a.s1,u.s2=a.s2,u}function s(a,u){var l=new n(a),c=u&&u.state,p=l.next;return p.int32=function(){return l.next()*4294967296|0},p.double=function(){return p()+(p()*2097152|0)*11102230246251565e-32},p.quick=p,c&&(typeof c=="object"&&o(c,l),p.state=function(){return o(l,{})}),p}function i(){var a=4022871197,u=function(l){l=String(l);for(var c=0;c>>0,p-=a,p*=a,a=p>>>0,p-=a,a+=p*4294967296}return(a>>>0)*23283064365386963e-26};return u}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.alea=s})(n_,typeof ZS=="object"&&ZS,typeof define=="function"&&define)});var i_=dr((s_,JS)=>{(function(r,t,e){function n(i){var a=this,u="";a.x=0,a.y=0,a.z=0,a.w=0,a.next=function(){var c=a.x^a.x<<11;return a.x=a.y,a.y=a.z,a.z=a.w,a.w^=a.w>>>19^c^c>>>8},i===(i|0)?a.x=i:u+=i;for(var l=0;l>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(typeof l=="object"&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xor128=s})(s_,typeof JS=="object"&&JS,typeof define=="function"&&define)});var l_=dr((a_,QS)=>{(function(r,t,e){function n(i){var a=this,u="";a.next=function(){var c=a.x^a.x>>>2;return a.x=a.y,a.y=a.z,a.z=a.w,a.w=a.v,(a.d=a.d+362437|0)+(a.v=a.v^a.v<<4^(c^c<<1))|0},a.x=0,a.y=0,a.z=0,a.w=0,a.v=0,i===(i|0)?a.x=i:u+=i;for(var l=0;l>>4),a.next()}function o(i,a){return a.x=i.x,a.y=i.y,a.z=i.z,a.w=i.w,a.v=i.v,a.d=i.d,a}function s(i,a){var u=new n(i),l=a&&a.state,c=function(){return(u.next()>>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(typeof l=="object"&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xorwow=s})(a_,typeof QS=="object"&&QS,typeof define=="function"&&define)});var c_=dr((u_,t0)=>{(function(r,t,e){function n(i){var a=this;a.next=function(){var l=a.x,c=a.i,p,m,f;return p=l[c],p^=p>>>7,m=p^p<<24,p=l[c+1&7],m^=p^p>>>10,p=l[c+3&7],m^=p^p>>>3,p=l[c+4&7],m^=p^p<<7,p=l[c+7&7],p=p^p<<13,m^=p^p<<9,l[c]=m,a.i=c+1&7,m};function u(l,c){var p,m,f=[];if(c===(c|0))m=f[0]=c;else for(c=""+c,p=0;p0;--p)l.next()}u(a,i)}function o(i,a){return a.x=i.x.slice(),a.i=i.i,a}function s(i,a){i==null&&(i=+new Date);var u=new n(i),l=a&&a.state,c=function(){return(u.next()>>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(l.x&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xorshift7=s})(u_,typeof t0=="object"&&t0,typeof define=="function"&&define)});var m_=dr((p_,e0)=>{(function(r,t,e){function n(i){var a=this;a.next=function(){var l=a.w,c=a.X,p=a.i,m,f;return a.w=l=l+1640531527|0,f=c[p+34&127],m=c[p=p+1&127],f^=f<<13,m^=m<<17,f^=f>>>15,m^=m>>>12,f=c[p]=f^m,a.i=p,f+(l^l>>>16)|0};function u(l,c){var p,m,f,d,h,g=[],x=128;for(c===(c|0)?(m=c,c=null):(c=c+"\0",m=0,x=Math.max(x,c.length)),f=0,d=-32;d>>15,m^=m<<4,m^=m>>>13,d>=0&&(h=h+1640531527|0,p=g[d&127]^=m+h,f=p==0?f+1:0);for(f>=128&&(g[(c&&c.length||0)&127]=-1),f=127,d=4*128;d>0;--d)m=g[f+34&127],p=g[f=f+1&127],m^=m<<13,p^=p<<17,m^=m>>>15,p^=p>>>12,g[f]=m^p;l.w=h,l.X=g,l.i=f}u(a,i)}function o(i,a){return a.i=i.i,a.w=i.w,a.X=i.X.slice(),a}function s(i,a){i==null&&(i=+new Date);var u=new n(i),l=a&&a.state,c=function(){return(u.next()>>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(l.X&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xor4096=s})(p_,typeof e0=="object"&&e0,typeof define=="function"&&define)});var d_=dr((f_,r0)=>{(function(r,t,e){function n(i){var a=this,u="";a.next=function(){var c=a.b,p=a.c,m=a.d,f=a.a;return c=c<<25^c>>>7^p,p=p-m|0,m=m<<24^m>>>8^f,f=f-c|0,a.b=c=c<<20^c>>>12^p,a.c=p=p-m|0,a.d=m<<16^p>>>16^f,a.a=f-c|0},a.a=0,a.b=0,a.c=-1640531527,a.d=1367130551,i===Math.floor(i)?(a.a=i/4294967296|0,a.b=i|0):u+=i;for(var l=0;l>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(typeof l=="object"&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.tychei=s})(f_,typeof r0=="object"&&r0,typeof define=="function"&&define)});var h_=dr(()=>{});var x_=dr((g_,Hx)=>{(function(r,t,e){var n=256,o=6,s=52,i="random",a=e.pow(n,o),u=e.pow(2,s),l=u*2,c=n-1,p;function m(w,C,N){var _=[];C=C==!0?{entropy:!0}:C||{};var A=g(h(C.entropy?[w,b(t)]:w==null?x():w,3),_),$=new f(_),F=function(){for(var P=$.g(o),V=a,G=0;P=l;)P/=2,V/=2,G>>>=1;return(P+G)/V};return F.int32=function(){return $.g(4)|0},F.quick=function(){return $.g(4)/4294967296},F.double=F,g(b($.S),t),(C.pass||N||function(P,V,G,W){return W&&(W.S&&d(W,$),P.state=function(){return d($,{})}),G?(e[i]=P,V):P})(F,A,"global"in C?C.global:this==e,C.state)}function f(w){var C,N=w.length,_=this,A=0,$=_.i=_.j=0,F=_.S=[];for(N||(w=[N++]);A{var XK=o_(),YK=i_(),ZK=l_(),JK=c_(),QK=m_(),tj=d_(),Ju=x_();Ju.alea=XK;Ju.xor128=YK;Ju.xorwow=ZK;Ju.xorshift7=JK;Ju.xor4096=QK;Ju.tychei=tj;y_.exports=Ju});var pN=dr(()=>{});var qb=dr(()=>{});var eg=dr(()=>{});var _W=dr(()=>{});var AW=dr(()=>{});var $W=dr(()=>{});var DW=dr((lI,AT)=>{var _T=(()=>{var r=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(r=r||__filename),function(t){t=t||{};function e(){return it.buffer!=Kt&&qe(it.buffer),Te}function n(){return it.buffer!=Kt&&qe(it.buffer),fe}function o(){return it.buffer!=Kt&&qe(it.buffer),Ae}function s(){return it.buffer!=Kt&&qe(it.buffer),En}function i(){return it.buffer!=Kt&&qe(it.buffer),nr}function a(){return it.buffer!=Kt&&qe(it.buffer),Wn}function u(){return it.buffer!=Kt&&qe(it.buffer),Or}var l=typeof t!="undefined"?t:{},c,p;l.ready=new Promise(function(L,U){c=L,p=U});var m;typeof process!="undefined"&&process.listeners&&(m={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var f=Object.assign({},l),d=[],h="./this.program",g=(L,U)=>{throw U},x=typeof window=="object",b=typeof importScripts=="function",w=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",C=l.ENVIRONMENT_IS_PTHREAD||!1,N="";function _(L){return l.locateFile?l.locateFile(L,N):N+L}var A,$,F,P;function V(L){if(L instanceof Du)return;Y("exiting due to exception: "+L)}if(w){b?N=eg().dirname(N)+"/":N=__dirname+"/";var G,W;typeof $g=="function"&&(G=qb(),W=eg()),A=(U,ut)=>(U=W.normalize(U),G.readFileSync(U,ut?void 0:"utf8")),F=U=>{var ut=A(U,!0);return ut.buffer||(ut=new Uint8Array(ut)),ut},$=(U,ut,xt)=>{U=W.normalize(U),G.readFile(U,function($t,ie){$t?xt($t):ut(ie.buffer)})},process.argv.length>1&&(h=process.argv[1].replace(/\\/g,"/")),d=process.argv.slice(2),process.on("uncaughtException",function(U){if(!(U instanceof Du))throw U}),process.on("unhandledRejection",function(U){throw U}),g=(U,ut)=>{if(Lo())throw process.exitCode=U,ut;V(ut),process.exit(U)},l.inspect=function(){return"[Emscripten Module object]"};let L;try{L=_W()}catch(U){throw console.error('The "worker_threads" module is not supported in this node.js build - perhaps a newer version is needed?'),U}global.Worker=L.Worker}else(x||b)&&(b?N=self.location.href:typeof document!="undefined"&&document.currentScript&&(N=document.currentScript.src),typeof r!="undefined"&&r&&(N=r),N.indexOf("blob:")!==0?N=N.substr(0,N.replace(/[?#].*/,"").lastIndexOf("/")+1):N="",w||(A=L=>{var U=new XMLHttpRequest;return U.open("GET",L,!1),U.send(null),U.responseText},b&&(F=L=>{var U=new XMLHttpRequest;return U.open("GET",L,!1),U.responseType="arraybuffer",U.send(null),new Uint8Array(U.response)}),$=(L,U,ut)=>{var xt=new XMLHttpRequest;xt.open("GET",L,!0),xt.responseType="arraybuffer",xt.onload=()=>{if(xt.status==200||xt.status==0&&xt.response){U(xt.response);return}ut()},xt.onerror=ut,xt.send(null)}),P=L=>document.title=L);w&&typeof performance=="undefined"&&(global.performance=AW().performance);var q=console.log.bind(console),H=console.warn.bind(console);w&&(q=L=>G.writeSync(1,L+` +var $U=Object.create;var QS=Object.defineProperty;var DU=Object.getOwnPropertyDescriptor;var RU=Object.getOwnPropertyNames;var FU=Object.getPrototypeOf,OU=Object.prototype.hasOwnProperty;var Pg=(r=>typeof require!="undefined"?require:typeof Proxy!="undefined"?new Proxy(r,{get:(t,e)=>(typeof require!="undefined"?require:t)[e]}):r)(function(r){if(typeof require!="undefined")return require.apply(this,arguments);throw new Error('Dynamic require of "'+r+'" is not supported')});var gr=(r,t)=>()=>(t||r((t={exports:{}}).exports,t),t.exports),Wt=(r,t)=>{for(var e in t)QS(r,e,{get:t[e],enumerable:!0})},PU=(r,t,e,n)=>{if(t&&typeof t=="object"||typeof t=="function")for(let o of RU(t))!OU.call(r,o)&&o!==e&&QS(r,o,{get:()=>t[o],enumerable:!(n=DU(t,o))||n.enumerable});return r};var Tl=(r,t,e)=>(e=r!=null?$U(FU(r)):{},PU(t||!r||!r.__esModule?QS(e,"default",{value:r,enumerable:!0}):e,r));var T1=gr(($lt,N1)=>{N1.exports=Ue;var mo=null;try{mo=new WebAssembly.Instance(new WebAssembly.Module(new Uint8Array([0,97,115,109,1,0,0,0,1,13,2,96,0,1,127,96,4,127,127,127,127,1,127,3,7,6,0,1,1,1,1,1,6,6,1,127,1,65,0,11,7,50,6,3,109,117,108,0,1,5,100,105,118,95,115,0,2,5,100,105,118,95,117,0,3,5,114,101,109,95,115,0,4,5,114,101,109,95,117,0,5,8,103,101,116,95,104,105,103,104,0,0,10,191,1,6,4,0,35,0,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,126,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,127,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,128,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,129,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,130,34,4,66,32,135,167,36,0,32,4,167,11])),{}).exports}catch(r){}function Ue(r,t,e){this.low=r|0,this.high=t|0,this.unsigned=!!e}Ue.prototype.__isLong__;Object.defineProperty(Ue.prototype,"__isLong__",{value:!0});function Fn(r){return(r&&r.__isLong__)===!0}Ue.isLong=Fn;var g1={},x1={};function zu(r,t){var e,n,o;return t?(r>>>=0,(o=0<=r&&r<256)&&(n=x1[r],n)?n:(e=He(r,(r|0)<0?-1:0,!0),o&&(x1[r]=e),e)):(r|=0,(o=-128<=r&&r<128)&&(n=g1[r],n)?n:(e=He(r,r<0?-1:0,!1),o&&(g1[r]=e),e))}Ue.fromInt=zu;function fo(r,t){if(isNaN(r))return t?Mu:ho;if(t){if(r<0)return Mu;if(r>=C1)return v1}else{if(r<=-b1)return Rn;if(r+1>=b1)return S1}return r<0?fo(-r,t).neg():He(r%Vp|0,r/Vp|0,t)}Ue.fromNumber=fo;function He(r,t,e){return new Ue(r,t,e)}Ue.fromBits=He;var Bg=Math.pow;function m0(r,t,e){if(r.length===0)throw Error("empty string");if(r==="NaN"||r==="Infinity"||r==="+Infinity"||r==="-Infinity")return ho;if(typeof t=="number"?(e=t,t=!1):t=!!t,e=e||10,e<2||360)throw Error("interior hyphen");if(n===0)return m0(r.substring(1),t,e).neg();for(var o=fo(Bg(e,8)),s=ho,i=0;i>>0:this.low};gt.toNumber=function(){return this.unsigned?(this.high>>>0)*Vp+(this.low>>>0):this.high*Vp+(this.low>>>0)};gt.toString=function(t){if(t=t||10,t<2||36>>0,c=l.toString(t);if(i=u,i.isZero())return c+a;for(;c.length<6;)c="0"+c;a=""+c+a}};gt.getHighBits=function(){return this.high};gt.getHighBitsUnsigned=function(){return this.high>>>0};gt.getLowBits=function(){return this.low};gt.getLowBitsUnsigned=function(){return this.low>>>0};gt.getNumBitsAbs=function(){if(this.isNegative())return this.eq(Rn)?64:this.neg().getNumBitsAbs();for(var t=this.high!=0?this.high:this.low,e=31;e>0&&(t&1<=0};gt.isOdd=function(){return(this.low&1)===1};gt.isEven=function(){return(this.low&1)===0};gt.equals=function(t){return Fn(t)||(t=Ls(t)),this.unsigned!==t.unsigned&&this.high>>>31===1&&t.high>>>31===1?!1:this.high===t.high&&this.low===t.low};gt.eq=gt.equals;gt.notEquals=function(t){return!this.eq(t)};gt.neq=gt.notEquals;gt.ne=gt.notEquals;gt.lessThan=function(t){return this.comp(t)<0};gt.lt=gt.lessThan;gt.lessThanOrEqual=function(t){return this.comp(t)<=0};gt.lte=gt.lessThanOrEqual;gt.le=gt.lessThanOrEqual;gt.greaterThan=function(t){return this.comp(t)>0};gt.gt=gt.greaterThan;gt.greaterThanOrEqual=function(t){return this.comp(t)>=0};gt.gte=gt.greaterThanOrEqual;gt.ge=gt.greaterThanOrEqual;gt.compare=function(t){if(Fn(t)||(t=Ls(t)),this.eq(t))return 0;var e=this.isNegative(),n=t.isNegative();return e&&!n?-1:!e&&n?1:this.unsigned?t.high>>>0>this.high>>>0||t.high===this.high&&t.low>>>0>this.low>>>0?-1:1:this.sub(t).isNegative()?-1:1};gt.comp=gt.compare;gt.negate=function(){return!this.unsigned&&this.eq(Rn)?Rn:this.not().add(Bp)};gt.neg=gt.negate;gt.add=function(t){Fn(t)||(t=Ls(t));var e=this.high>>>16,n=this.high&65535,o=this.low>>>16,s=this.low&65535,i=t.high>>>16,a=t.high&65535,u=t.low>>>16,l=t.low&65535,c=0,p=0,m=0,f=0;return f+=s+l,m+=f>>>16,f&=65535,m+=o+u,p+=m>>>16,m&=65535,p+=n+a,c+=p>>>16,p&=65535,c+=e+i,c&=65535,He(m<<16|f,c<<16|p,this.unsigned)};gt.subtract=function(t){return Fn(t)||(t=Ls(t)),this.add(t.neg())};gt.sub=gt.subtract;gt.multiply=function(t){if(this.isZero())return ho;if(Fn(t)||(t=Ls(t)),mo){var e=mo.mul(this.low,this.high,t.low,t.high);return He(e,mo.get_high(),this.unsigned)}if(t.isZero())return ho;if(this.eq(Rn))return t.isOdd()?Rn:ho;if(t.eq(Rn))return this.isOdd()?Rn:ho;if(this.isNegative())return t.isNegative()?this.neg().mul(t.neg()):this.neg().mul(t).neg();if(t.isNegative())return this.mul(t.neg()).neg();if(this.lt(w1)&&t.lt(w1))return fo(this.toNumber()*t.toNumber(),this.unsigned);var n=this.high>>>16,o=this.high&65535,s=this.low>>>16,i=this.low&65535,a=t.high>>>16,u=t.high&65535,l=t.low>>>16,c=t.low&65535,p=0,m=0,f=0,d=0;return d+=i*c,f+=d>>>16,d&=65535,f+=s*c,m+=f>>>16,f&=65535,f+=i*l,m+=f>>>16,f&=65535,m+=o*c,p+=m>>>16,m&=65535,m+=s*l,p+=m>>>16,m&=65535,m+=i*u,p+=m>>>16,m&=65535,p+=n*c+o*l+s*u+i*a,p&=65535,He(f<<16|d,p<<16|m,this.unsigned)};gt.mul=gt.multiply;gt.divide=function(t){if(Fn(t)||(t=Ls(t)),t.isZero())throw Error("division by zero");if(mo){if(!this.unsigned&&this.high===-2147483648&&t.low===-1&&t.high===-1)return this;var e=(this.unsigned?mo.div_u:mo.div_s)(this.low,this.high,t.low,t.high);return He(e,mo.get_high(),this.unsigned)}if(this.isZero())return this.unsigned?Mu:ho;var n,o,s;if(this.unsigned){if(t.unsigned||(t=t.toUnsigned()),t.gt(this))return Mu;if(t.gt(this.shru(1)))return I1;s=Mu}else{if(this.eq(Rn)){if(t.eq(Bp)||t.eq(p0))return Rn;if(t.eq(Rn))return Bp;var i=this.shr(1);return n=i.div(t).shl(1),n.eq(ho)?t.isNegative()?Bp:p0:(o=this.sub(t.mul(n)),s=n.add(o.div(t)),s)}else if(t.eq(Rn))return this.unsigned?Mu:ho;if(this.isNegative())return t.isNegative()?this.neg().div(t.neg()):this.neg().div(t).neg();if(t.isNegative())return this.div(t.neg()).neg();s=ho}for(o=this;o.gte(t);){n=Math.max(1,Math.floor(o.toNumber()/t.toNumber()));for(var a=Math.ceil(Math.log(n)/Math.LN2),u=a<=48?1:Bg(2,a-48),l=fo(n),c=l.mul(t);c.isNegative()||c.gt(o);)n-=u,l=fo(n,this.unsigned),c=l.mul(t);l.isZero()&&(l=Bp),s=s.add(l),o=o.sub(c)}return s};gt.div=gt.divide;gt.modulo=function(t){if(Fn(t)||(t=Ls(t)),mo){var e=(this.unsigned?mo.rem_u:mo.rem_s)(this.low,this.high,t.low,t.high);return He(e,mo.get_high(),this.unsigned)}return this.sub(this.div(t).mul(t))};gt.mod=gt.modulo;gt.rem=gt.modulo;gt.not=function(){return He(~this.low,~this.high,this.unsigned)};gt.and=function(t){return Fn(t)||(t=Ls(t)),He(this.low&t.low,this.high&t.high,this.unsigned)};gt.or=function(t){return Fn(t)||(t=Ls(t)),He(this.low|t.low,this.high|t.high,this.unsigned)};gt.xor=function(t){return Fn(t)||(t=Ls(t)),He(this.low^t.low,this.high^t.high,this.unsigned)};gt.shiftLeft=function(t){return Fn(t)&&(t=t.toInt()),(t&=63)===0?this:t<32?He(this.low<>>32-t,this.unsigned):He(0,this.low<>>t|this.high<<32-t,this.high>>t,this.unsigned):He(this.high>>t-32,this.high>=0?0:-1,this.unsigned)};gt.shr=gt.shiftRight;gt.shiftRightUnsigned=function(t){if(Fn(t)&&(t=t.toInt()),t&=63,t===0)return this;var e=this.high;if(t<32){var n=this.low;return He(n>>>t|e<<32-t,e>>>t,this.unsigned)}else return t===32?He(e,0,this.unsigned):He(e>>>t-32,0,this.unsigned)};gt.shru=gt.shiftRightUnsigned;gt.shr_u=gt.shiftRightUnsigned;gt.toSigned=function(){return this.unsigned?He(this.low,this.high,!1):this};gt.toUnsigned=function(){return this.unsigned?this:He(this.low,this.high,!0)};gt.toBytes=function(t){return t?this.toBytesLE():this.toBytesBE()};gt.toBytesLE=function(){var t=this.high,e=this.low;return[e&255,e>>>8&255,e>>>16&255,e>>>24,t&255,t>>>8&255,t>>>16&255,t>>>24]};gt.toBytesBE=function(){var t=this.high,e=this.low;return[t>>>24,t>>>16&255,t>>>8&255,t&255,e>>>24,e>>>16&255,e>>>8&255,e&255]};Ue.fromBytes=function(t,e,n){return n?Ue.fromBytesLE(t,e):Ue.fromBytesBE(t,e)};Ue.fromBytesLE=function(t,e){return new Ue(t[0]|t[1]<<8|t[2]<<16|t[3]<<24,t[4]|t[5]<<8|t[6]<<16|t[7]<<24,e)};Ue.fromBytesBE=function(t,e){return new Ue(t[4]<<24|t[5]<<16|t[6]<<8|t[7],t[0]<<24|t[1]<<16|t[2]<<8|t[3],e)}});var iE=gr(()=>{});var aE=gr(()=>{});var u_=gr((l_,rv)=>{(function(r,t,e){function n(a){var u=this,l=i();u.next=function(){var c=2091639*u.s0+u.c*23283064365386963e-26;return u.s0=u.s1,u.s1=u.s2,u.s2=c-(u.c=c|0)},u.c=1,u.s0=l(" "),u.s1=l(" "),u.s2=l(" "),u.s0-=l(a),u.s0<0&&(u.s0+=1),u.s1-=l(a),u.s1<0&&(u.s1+=1),u.s2-=l(a),u.s2<0&&(u.s2+=1),l=null}function o(a,u){return u.c=a.c,u.s0=a.s0,u.s1=a.s1,u.s2=a.s2,u}function s(a,u){var l=new n(a),c=u&&u.state,p=l.next;return p.int32=function(){return l.next()*4294967296|0},p.double=function(){return p()+(p()*2097152|0)*11102230246251565e-32},p.quick=p,c&&(typeof c=="object"&&o(c,l),p.state=function(){return o(l,{})}),p}function i(){var a=4022871197,u=function(l){l=String(l);for(var c=0;c>>0,p-=a,p*=a,a=p>>>0,p-=a,a+=p*4294967296}return(a>>>0)*23283064365386963e-26};return u}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.alea=s})(l_,typeof rv=="object"&&rv,typeof define=="function"&&define)});var p_=gr((c_,nv)=>{(function(r,t,e){function n(i){var a=this,u="";a.x=0,a.y=0,a.z=0,a.w=0,a.next=function(){var c=a.x^a.x<<11;return a.x=a.y,a.y=a.z,a.z=a.w,a.w^=a.w>>>19^c^c>>>8},i===(i|0)?a.x=i:u+=i;for(var l=0;l>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(typeof l=="object"&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xor128=s})(c_,typeof nv=="object"&&nv,typeof define=="function"&&define)});var f_=gr((m_,ov)=>{(function(r,t,e){function n(i){var a=this,u="";a.next=function(){var c=a.x^a.x>>>2;return a.x=a.y,a.y=a.z,a.z=a.w,a.w=a.v,(a.d=a.d+362437|0)+(a.v=a.v^a.v<<4^(c^c<<1))|0},a.x=0,a.y=0,a.z=0,a.w=0,a.v=0,i===(i|0)?a.x=i:u+=i;for(var l=0;l>>4),a.next()}function o(i,a){return a.x=i.x,a.y=i.y,a.z=i.z,a.w=i.w,a.v=i.v,a.d=i.d,a}function s(i,a){var u=new n(i),l=a&&a.state,c=function(){return(u.next()>>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(typeof l=="object"&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xorwow=s})(m_,typeof ov=="object"&&ov,typeof define=="function"&&define)});var h_=gr((d_,sv)=>{(function(r,t,e){function n(i){var a=this;a.next=function(){var l=a.x,c=a.i,p,m,f;return p=l[c],p^=p>>>7,m=p^p<<24,p=l[c+1&7],m^=p^p>>>10,p=l[c+3&7],m^=p^p>>>3,p=l[c+4&7],m^=p^p<<7,p=l[c+7&7],p=p^p<<13,m^=p^p<<9,l[c]=m,a.i=c+1&7,m};function u(l,c){var p,m,f=[];if(c===(c|0))m=f[0]=c;else for(c=""+c,p=0;p0;--p)l.next()}u(a,i)}function o(i,a){return a.x=i.x.slice(),a.i=i.i,a}function s(i,a){i==null&&(i=+new Date);var u=new n(i),l=a&&a.state,c=function(){return(u.next()>>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(l.x&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xorshift7=s})(d_,typeof sv=="object"&&sv,typeof define=="function"&&define)});var x_=gr((g_,iv)=>{(function(r,t,e){function n(i){var a=this;a.next=function(){var l=a.w,c=a.X,p=a.i,m,f;return a.w=l=l+1640531527|0,f=c[p+34&127],m=c[p=p+1&127],f^=f<<13,m^=m<<17,f^=f>>>15,m^=m>>>12,f=c[p]=f^m,a.i=p,f+(l^l>>>16)|0};function u(l,c){var p,m,f,d,h,g=[],x=128;for(c===(c|0)?(m=c,c=null):(c=c+"\0",m=0,x=Math.max(x,c.length)),f=0,d=-32;d>>15,m^=m<<4,m^=m>>>13,d>=0&&(h=h+1640531527|0,p=g[d&127]^=m+h,f=p==0?f+1:0);for(f>=128&&(g[(c&&c.length||0)&127]=-1),f=127,d=4*128;d>0;--d)m=g[f+34&127],p=g[f=f+1&127],m^=m<<13,p^=p<<17,m^=m>>>15,p^=p>>>12,g[f]=m^p;l.w=h,l.X=g,l.i=f}u(a,i)}function o(i,a){return a.i=i.i,a.w=i.w,a.X=i.X.slice(),a}function s(i,a){i==null&&(i=+new Date);var u=new n(i),l=a&&a.state,c=function(){return(u.next()>>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(l.X&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xor4096=s})(g_,typeof iv=="object"&&iv,typeof define=="function"&&define)});var b_=gr((y_,av)=>{(function(r,t,e){function n(i){var a=this,u="";a.next=function(){var c=a.b,p=a.c,m=a.d,f=a.a;return c=c<<25^c>>>7^p,p=p-m|0,m=m<<24^m>>>8^f,f=f-c|0,a.b=c=c<<20^c>>>12^p,a.c=p=p-m|0,a.d=m<<16^p>>>16^f,a.a=f-c|0},a.a=0,a.b=0,a.c=-1640531527,a.d=1367130551,i===Math.floor(i)?(a.a=i/4294967296|0,a.b=i|0):u+=i;for(var l=0;l>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(typeof l=="object"&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.tychei=s})(y_,typeof av=="object"&&av,typeof define=="function"&&define)});var w_=gr(()=>{});var I_=gr((C_,Yx)=>{(function(r,t,e){var n=256,o=6,s=52,i="random",a=e.pow(n,o),u=e.pow(2,s),l=u*2,c=n-1,p;function m(w,C,N){var _=[];C=C==!0?{entropy:!0}:C||{};var A=g(h(C.entropy?[w,b(t)]:w==null?x():w,3),_),$=new f(_),F=function(){for(var P=$.g(o),V=a,G=0;P=l;)P/=2,V/=2,G>>>=1;return(P+G)/V};return F.int32=function(){return $.g(4)|0},F.quick=function(){return $.g(4)/4294967296},F.double=F,g(b($.S),t),(C.pass||N||function(P,V,G,W){return W&&(W.S&&d(W,$),P.state=function(){return d($,{})}),G?(e[i]=P,V):P})(F,A,"global"in C?C.global:this==e,C.state)}function f(w){var C,N=w.length,_=this,A=0,$=_.i=_.j=0,F=_.S=[];for(N||(w=[N++]);A{var aj=u_(),lj=p_(),uj=f_(),cj=h_(),pj=x_(),mj=b_(),Ju=I_();Ju.alea=aj;Ju.xor128=lj;Ju.xorwow=uj;Ju.xorshift7=cj;Ju.xor4096=pj;Ju.tychei=mj;S_.exports=Ju});var gN=gr(()=>{});var Zb=gr(()=>{});var ig=gr(()=>{});var BW=gr(()=>{});var VW=gr(()=>{});var GW=gr(()=>{});var WW=gr((fI,Ok)=>{var Fk=(()=>{var r=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(r=r||__filename),function(t){t=t||{};function e(){return it.buffer!=jt&&qe(it.buffer),ke}function n(){return it.buffer!=jt&&qe(it.buffer),fe}function o(){return it.buffer!=jt&&qe(it.buffer),Ae}function s(){return it.buffer!=jt&&qe(it.buffer),_n}function i(){return it.buffer!=jt&&qe(it.buffer),or}function a(){return it.buffer!=jt&&qe(it.buffer),Hn}function u(){return it.buffer!=jt&&qe(it.buffer),Lr}var l=typeof t!="undefined"?t:{},c,p;l.ready=new Promise(function(L,U){c=L,p=U});var m;typeof process!="undefined"&&process.listeners&&(m={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var f=Object.assign({},l),d=[],h="./this.program",g=(L,U)=>{throw U},x=typeof window=="object",b=typeof importScripts=="function",w=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",C=l.ENVIRONMENT_IS_PTHREAD||!1,N="";function _(L){return l.locateFile?l.locateFile(L,N):N+L}var A,$,F,P;function V(L){if(L instanceof Ru)return;Y("exiting due to exception: "+L)}if(w){b?N=ig().dirname(N)+"/":N=__dirname+"/";var G,W;typeof Pg=="function"&&(G=Zb(),W=ig()),A=(U,ut)=>(U=W.normalize(U),G.readFileSync(U,ut?void 0:"utf8")),F=U=>{var ut=A(U,!0);return ut.buffer||(ut=new Uint8Array(ut)),ut},$=(U,ut,xt)=>{U=W.normalize(U),G.readFile(U,function(Dt,ie){Dt?xt(Dt):ut(ie.buffer)})},process.argv.length>1&&(h=process.argv[1].replace(/\\/g,"/")),d=process.argv.slice(2),process.on("uncaughtException",function(U){if(!(U instanceof Ru))throw U}),process.on("unhandledRejection",function(U){throw U}),g=(U,ut)=>{if(Mo())throw process.exitCode=U,ut;V(ut),process.exit(U)},l.inspect=function(){return"[Emscripten Module object]"};let L;try{L=BW()}catch(U){throw console.error('The "worker_threads" module is not supported in this node.js build - perhaps a newer version is needed?'),U}global.Worker=L.Worker}else(x||b)&&(b?N=self.location.href:typeof document!="undefined"&&document.currentScript&&(N=document.currentScript.src),typeof r!="undefined"&&r&&(N=r),N.indexOf("blob:")!==0?N=N.substr(0,N.replace(/[?#].*/,"").lastIndexOf("/")+1):N="",w||(A=L=>{var U=new XMLHttpRequest;return U.open("GET",L,!1),U.send(null),U.responseText},b&&(F=L=>{var U=new XMLHttpRequest;return U.open("GET",L,!1),U.responseType="arraybuffer",U.send(null),new Uint8Array(U.response)}),$=(L,U,ut)=>{var xt=new XMLHttpRequest;xt.open("GET",L,!0),xt.responseType="arraybuffer",xt.onload=()=>{if(xt.status==200||xt.status==0&&xt.response){U(xt.response);return}ut()},xt.onerror=ut,xt.send(null)}),P=L=>document.title=L);w&&typeof performance=="undefined"&&(global.performance=VW().performance);var q=console.log.bind(console),H=console.warn.bind(console);w&&(q=L=>G.writeSync(1,L+` `),H=L=>G.writeSync(2,L+` -`));var j=l.print||q,Y=l.printErr||H;Object.assign(l,f),f=null,l.arguments&&(d=l.arguments),l.thisProgram&&(h=l.thisProgram),l.quit&&(g=l.quit);var Z=4,et=Atomics.load,rt=Atomics.store,ot=Atomics.compareExchange,at;l.wasmBinary&&(at=l.wasmBinary);var nt=l.noExitRuntime||!0;typeof WebAssembly!="object"&&Yc("no native wasm support detected");var it,dt,ht=!1,bt;function Tt(L,U){L||Yc(U)}var _t=typeof TextDecoder!="undefined"?new TextDecoder("utf8"):void 0;function Bt(L,U,ut){for(var xt=U+ut,$t=U;L[$t]&&!($t>=xt);)++$t;if($t-U>16&&L.buffer&&_t)return _t.decode(L.buffer instanceof SharedArrayBuffer?L.slice(U,$t):L.subarray(U,$t));for(var ie="";U<$t;){var Vt=L[U++];if(!(Vt&128)){ie+=String.fromCharCode(Vt);continue}var jt=L[U++]&63;if((Vt&224)==192){ie+=String.fromCharCode((Vt&31)<<6|jt);continue}var fr=L[U++]&63;if((Vt&240)==224?Vt=(Vt&15)<<12|jt<<6|fr:Vt=(Vt&7)<<18|jt<<12|fr<<6|L[U++]&63,Vt<65536)ie+=String.fromCharCode(Vt);else{var Kn=Vt-65536;ie+=String.fromCharCode(55296|Kn>>10,56320|Kn&1023)}}return ie}function Yt(L,U){return L?Bt(n(),L,U):""}function ce(L,U,ut,xt){if(!(xt>0))return 0;for(var $t=ut,ie=ut+xt-1,Vt=0;Vt=55296&&jt<=57343){var fr=L.charCodeAt(++Vt);jt=65536+((jt&1023)<<10)|fr&1023}if(jt<=127){if(ut>=ie)break;U[ut++]=jt}else if(jt<=2047){if(ut+1>=ie)break;U[ut++]=192|jt>>6,U[ut++]=128|jt&63}else if(jt<=65535){if(ut+2>=ie)break;U[ut++]=224|jt>>12,U[ut++]=128|jt>>6&63,U[ut++]=128|jt&63}else{if(ut+3>=ie)break;U[ut++]=240|jt>>18,U[ut++]=128|jt>>12&63,U[ut++]=128|jt>>6&63,U[ut++]=128|jt&63}}return U[ut]=0,ut-$t}function he(L,U,ut){return ce(L,n(),U,ut)}var Kt,Te,fe,Ae,Ge,En,nr,Wn,Or;C&&(Kt=l.buffer);function qe(L){Kt=L,l.HEAP8=Te=new Int8Array(L),l.HEAP16=Ae=new Int16Array(L),l.HEAP32=En=new Int32Array(L),l.HEAPU8=fe=new Uint8Array(L),l.HEAPU16=Ge=new Uint16Array(L),l.HEAPU32=nr=new Uint32Array(L),l.HEAPF32=Wn=new Float32Array(L),l.HEAPF64=Or=new Float64Array(L)}var Pr=l.INITIAL_MEMORY||16777216;if(C)it=l.wasmMemory,Kt=l.buffer;else if(l.wasmMemory)it=l.wasmMemory;else if(it=new WebAssembly.Memory({initial:Pr/65536,maximum:32768,shared:!0}),!(it.buffer instanceof SharedArrayBuffer))throw Y("requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag"),w&&console.log("(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and also use a recent version)"),Error("bad memory");it&&(Kt=it.buffer),Pr=Kt.byteLength,qe(Kt);var Lr,Un=[],Hn=[],jr=[],Xi=!1;function Lo(){return nt}function wl(){if(l.preRun)for(typeof l.preRun=="function"&&(l.preRun=[l.preRun]);l.preRun.length;)_d(l.preRun.shift());Fd(Un)}function Nr(){Xi=!0,!C&&Fd(Hn)}function Yi(){if(!C){if(l.postRun)for(typeof l.postRun=="function"&&(l.postRun=[l.postRun]);l.postRun.length;)LT(l.postRun.shift());Fd(jr)}}function _d(L){Un.unshift(L)}function Ad(L){Hn.unshift(L)}function LT(L){jr.unshift(L)}var Cl=0,Xc=null,Zi=null;function MT(L){Cl++,l.monitorRunDependencies&&l.monitorRunDependencies(Cl)}function zT(L){if(Cl--,l.monitorRunDependencies&&l.monitorRunDependencies(Cl),Cl==0&&(Xc!==null&&(clearInterval(Xc),Xc=null),Zi)){var U=Zi;Zi=null,U()}}function Yc(L){C?postMessage({cmd:"onAbort",arg:L}):l.onAbort&&l.onAbort(L),L="Aborted("+L+")",Y(L),ht=!0,bt=1,L+=". Build with -sASSERTIONS for more info.";var U=new WebAssembly.RuntimeError(L);throw p(U),U}var pI="data:application/octet-stream;base64,";function ig(L){return L.startsWith(pI)}function $d(L){return L.startsWith("file://")}var en;en="tfjs-backend-wasm-threaded-simd.wasm",ig(en)||(en=_(en));function ag(L){try{if(L==en&&at)return new Uint8Array(at);if(F)return F(L);throw"both async and sync fetching of the wasm failed"}catch(U){Yc(U)}}function mI(){if(!at&&(x||b)){if(typeof fetch=="function"&&!$d(en))return fetch(en,{credentials:"same-origin"}).then(function(L){if(!L.ok)throw"failed to load wasm binary file at '"+en+"'";return L.arrayBuffer()}).catch(function(){return ag(en)});if($)return new Promise(function(L,U){$(en,function(ut){L(new Uint8Array(ut))},U)})}return Promise.resolve().then(function(){return ag(en)})}function fI(){var L={env:bg,wasi_snapshot_preview1:bg};function U(Vt,jt){var fr=Vt.exports;if(l.asm=fr,vI(l.asm._emscripten_tls_init),Lr=l.asm.__indirect_function_table,Ad(l.asm.__wasm_call_ctors),dt=jt,!C){var Kn=qt.unusedWorkers.length;qt.unusedWorkers.forEach(function(Qi){qt.loadWasmModuleToWorker(Qi,function(){--Kn||zT("wasm-instantiate")})})}}C||MT("wasm-instantiate");function ut(Vt){U(Vt.instance,Vt.module)}function xt(Vt){return mI().then(function(jt){return WebAssembly.instantiate(jt,L)}).then(function(jt){return jt}).then(Vt,function(jt){Y("failed to asynchronously prepare wasm: "+jt),Yc(jt)})}function $t(){return!at&&typeof WebAssembly.instantiateStreaming=="function"&&!ig(en)&&!$d(en)&&!w&&typeof fetch=="function"?fetch(en,{credentials:"same-origin"}).then(function(Vt){var jt=WebAssembly.instantiateStreaming(Vt,L);return jt.then(ut,function(fr){return Y("wasm streaming compile failed: "+fr),Y("falling back to ArrayBuffer instantiation"),xt(ut)})}):xt(ut)}if(l.instantiateWasm)try{var ie=l.instantiateWasm(L,U);return ie}catch(Vt){Y("Module.instantiateWasm callback failed with error: "+Vt),p(Vt)}return $t().catch(p),{}}var dI,BT,hI={};function Du(L){this.name="ExitStatus",this.message="Program terminated with exit("+L+")",this.status=L}function gI(L){var U=qt.pthreads[L];delete qt.pthreads[L],U.terminate(),Hv(L),qt.runningWorkers.splice(qt.runningWorkers.indexOf(U),1),U.pthread_ptr=0}function xI(L){var U=qt.pthreads[L];U.postMessage({cmd:"cancel"})}function Dd(L){var U=qt.pthreads[L];Tt(U),qt.returnWorkerToPool(U)}function lg(L){var U=qt.getNewWorker();if(!U)return 6;qt.runningWorkers.push(U),qt.pthreads[L.pthread_ptr]=U,U.pthread_ptr=L.pthread_ptr;var ut={cmd:"run",start_routine:L.startRoutine,arg:L.arg,pthread_ptr:L.pthread_ptr};return U.runPthread=()=>{ut.time=performance.now(),U.postMessage(ut,L.transferList)},U.loaded&&(U.runPthread(),delete U.runPthread),0}var ug={varargs:void 0,get:function(){ug.varargs+=4;var L=s()[ug.varargs-4>>2];return L},getStr:function(L){var U=Yt(L);return U}};function Rd(L){if(C)return Il(1,1,L);bt=L,Lo()||(qt.terminateAllThreads(),l.onExit&&l.onExit(L),ht=!0),g(L,new Du(L))}function VT(L,U){if(bt=L,!U&&C)throw pg(L),"unwind";Rd(L)}var cg=VT;function yI(L){if(L instanceof Du||L=="unwind")return bt;g(1,L)}var qt={unusedWorkers:[],runningWorkers:[],tlsInitFunctions:[],pthreads:{},init:function(){C?qt.initWorker():qt.initMainThread()},initMainThread:function(){for(var L=8;L--;)qt.allocateUnusedWorker()},initWorker:function(){nt=!1},setExitStatus:function(L){bt=L},terminateAllThreads:function(){for(var L of Object.values(qt.pthreads))qt.returnWorkerToPool(L);for(var L of qt.unusedWorkers)L.terminate();qt.unusedWorkers=[]},returnWorkerToPool:function(L){var U=L.pthread_ptr;delete qt.pthreads[U],qt.unusedWorkers.push(L),qt.runningWorkers.splice(qt.runningWorkers.indexOf(L),1),L.pthread_ptr=0,Hv(U)},receiveObjectTransfer:function(L){},threadInitTLS:function(){qt.tlsInitFunctions.forEach(L=>L())},loadWasmModuleToWorker:function(L,U){L.onmessage=ut=>{var xt=ut.data,$t=xt.cmd;if(L.pthread_ptr&&(qt.currentProxiedOperationCallerThread=L.pthread_ptr),xt.targetThread&&xt.targetThread!=Ng()){var ie=qt.pthreads[xt.targetThread];ie?ie.postMessage(xt,xt.transferList):Y('Internal error! Worker sent a message "'+$t+'" to target pthread '+xt.targetThread+", but that thread no longer exists!"),qt.currentProxiedOperationCallerThread=void 0;return}$t==="processProxyingQueue"?Od(xt.queue):$t==="spawnThread"?lg(xt):$t==="cleanupThread"?Dd(xt.thread):$t==="killThread"?gI(xt.thread):$t==="cancelThread"?xI(xt.thread):$t==="loaded"?(L.loaded=!0,U&&U(L),L.runPthread&&(L.runPthread(),delete L.runPthread)):$t==="print"?j("Thread "+xt.threadId+": "+xt.text):$t==="printErr"?Y("Thread "+xt.threadId+": "+xt.text):$t==="alert"?alert("Thread "+xt.threadId+": "+xt.text):xt.target==="setimmediate"?L.postMessage(xt):$t==="onAbort"?l.onAbort&&l.onAbort(xt.arg):$t&&Y("worker sent an unknown command "+$t),qt.currentProxiedOperationCallerThread=void 0},L.onerror=ut=>{var xt="worker sent an error!";throw Y(xt+" "+ut.filename+":"+ut.lineno+": "+ut.message),ut},w&&(L.on("message",function(ut){L.onmessage({data:ut})}),L.on("error",function(ut){L.onerror(ut)}),L.on("detachedExit",function(){})),L.postMessage({cmd:"load",urlOrBlob:l.mainScriptUrlOrBlob||r,wasmMemory:it,wasmModule:dt})},allocateUnusedWorker:function(){var L=_("tfjs-backend-wasm-threaded-simd.worker.js");qt.unusedWorkers.push(new Worker(L))},getNewWorker:function(){return qt.unusedWorkers.length==0&&(qt.allocateUnusedWorker(),qt.loadWasmModuleToWorker(qt.unusedWorkers[0])),qt.unusedWorkers.pop()}};l.PThread=qt;function Fd(L){for(;L.length>0;)L.shift()(l)}function bI(L){var U=qv(),ut=L();return kg(U),ut}function GT(L){return L}function WT(L){var U=/\b_Z[\w\d_]+/g;return L.replace(U,function(ut){var xt=ut;return ut===xt?ut:xt+" ["+ut+"]"})}function wI(){var L=Ng(),U=s()[L+44>>2],ut=s()[L+48>>2],xt=U-ut;YT(U,xt),kg(U)}l.establishStackSpace=wI;function pg(L){if(C)return Il(2,0,L);try{cg(L)}catch(U){yI(U)}}var Zc=[];function CI(L){var U=Zc[L];return U||(L>=Zc.length&&(Zc.length=L+1),Zc[L]=U=Lr.get(L)),U}function II(L,U){var ut=CI(L)(U);Lo()?qt.setExitStatus(ut):XT(ut)}l.invokeEntryPoint=II;function UT(){var L=new Error;if(!L.stack){try{throw new Error}catch(U){L=U}if(!L.stack)return"(no stack trace available)"}return L.stack.toString()}function vI(L){qt.tlsInitFunctions.push(L)}function SI(L,U){e().set(L,U)}function NI(L){qT(L,!b,1,!x),qt.threadInitTLS()}function kI(L){C?postMessage({cmd:"cleanupThread",thread:L}):Dd(L)}function mg(L,U,ut,xt){return C?Il(3,1,L,U,ut,xt):fg(L,U,ut,xt)}function fg(L,U,ut,xt){if(typeof SharedArrayBuffer=="undefined")return Y("Current environment does not support SharedArrayBuffer, pthreads are not available!"),6;var $t=[],ie=0;if(C&&($t.length===0||ie))return mg(L,U,ut,xt);if(ie)return ie;var Vt={startRoutine:ut,pthread_ptr:L,arg:xt,transferList:$t};return C?(Vt.cmd="spawnThread",postMessage(Vt,$t),0):lg(Vt)}function TI(){return 2097152}var EI=!0;function _I(){return EI}function Od(L){Atomics.store(s(),L>>2,1),Ng()&&jT(L),Atomics.compareExchange(s(),L>>2,1,0)}l.executeNotifiedProxyingQueue=Od;function AI(L,U,ut,xt){if(L==U)setTimeout(()=>Od(xt));else if(C)postMessage({targetThread:L,cmd:"processProxyingQueue",queue:xt});else{var $t=qt.pthreads[L];if(!$t)return;$t.postMessage({cmd:"processProxyingQueue",queue:xt})}return 1}function $I(L,U,ut){return-1}function DI(){Yc("")}function Ru(L){Ru.shown||(Ru.shown={}),Ru.shown[L]||(Ru.shown[L]=1,w&&(L="warning: "+L),Y(L))}function RI(){w||b||Ru("Blocking on the main thread is very dangerous, see https://emscripten.org/docs/porting/pthreads.html#blocking-on-the-main-browser-thread")}function FI(){return Date.now()}function dg(){return 2147483648}function OI(){return dg()}var Jc;w?Jc=()=>{var L=process.hrtime();return L[0]*1e3+L[1]/1e6}:C?Jc=()=>performance.now()-l.__performance_now_clock_drift:Jc=()=>performance.now();function PI(L,U,ut){n().copyWithin(L,U,U+ut)}function LI(){return w?$W().cpus().length:navigator.hardwareConcurrency}function Il(L,U){var ut=arguments.length-2,xt=arguments;return bI(()=>{for(var $t=ut,ie=Tg($t*8),Vt=ie>>3,jt=0;jt>3,$t=0;$t>>16),qe(it.buffer),1}catch(U){}}function BI(L){var U=n().length;if(L=L>>>0,L<=U)return!1;var ut=dg();if(L>ut)return!1;let xt=(fr,Kn)=>fr+(Kn-fr%Kn)%Kn;for(var $t=1;$t<=4;$t*=2){var ie=U*(1+.2/$t);ie=Math.min(ie,L+100663296);var Vt=Math.min(ut,xt(Math.max(L,ie),65536)),jt=zI(Vt);if(jt)return!0}return!1}function VI(){throw"unwind"}function hg(L){return C?Il(4,1,L):52}function gg(L,U,ut,xt,$t){return C?Il(5,1,L,U,ut,xt,$t):70}var GI=[null,[],[]];function WI(L,U){var ut=GI[L];U===0||U===10?((L===1?j:Y)(Bt(ut,0)),ut.length=0):ut.push(U)}function xg(L,U,ut,xt){if(C)return Il(6,1,L,U,ut,xt);for(var $t=0,ie=0;ie>2],jt=i()[U+4>>2];U+=8;for(var fr=0;fr>2]=$t,0}function yg(L){var U=l["_"+L];return U}function UI(L,U,ut,xt,$t){var ie={string:_n=>{var rp=0;if(_n!=null&&_n!==0){var QT=(_n.length<<2)+1;rp=Tg(QT),he(_n,rp,QT)}return rp},array:_n=>{var rp=Tg(_n.length);return SI(_n,rp),rp}};function Vt(_n){return U==="string"?Yt(_n):U==="boolean"?Boolean(_n):_n}var jt=yg(L),fr=[],Kn=0;if(xt)for(var Qi=0;QiVt==="number"||Vt==="boolean"),ie=U!=="string";return ie&&$t&&!xt?yg(L):function(){return UI(L,U,ut,arguments,xt)}}qt.init();var qI=[null,Rd,pg,mg,hg,gg,xg],bg={__emscripten_init_main_thread_js:NI,__emscripten_thread_cleanup:kI,__pthread_create_js:fg,_emscripten_default_pthread_stack_size:TI,_emscripten_get_now_is_monotonic:_I,_emscripten_notify_task_queue:AI,_emscripten_set_offscreencanvas_size:$I,abort:DI,emscripten_check_blocking_allowed:RI,emscripten_date_now:FI,emscripten_get_heap_max:OI,emscripten_get_now:Jc,emscripten_memcpy_big:PI,emscripten_num_logical_cores:LI,emscripten_receive_on_main_thread_js:MI,emscripten_resize_heap:BI,emscripten_unwind_to_js_event_loop:VI,exit:cg,fd_close:hg,fd_seek:gg,fd_write:xg,memory:it||l.wasmMemory},HT=fI(),KI=l.___wasm_call_ctors=function(){return(KI=l.___wasm_call_ctors=l.asm.__wasm_call_ctors).apply(null,arguments)},jI=l._init=function(){return(jI=l._init=l.asm.init).apply(null,arguments)},XI=l._init_with_threads_count=function(){return(XI=l._init_with_threads_count=l.asm.init_with_threads_count).apply(null,arguments)},YI=l._get_threads_count=function(){return(YI=l._get_threads_count=l.asm.get_threads_count).apply(null,arguments)},ZI=l._register_tensor=function(){return(ZI=l._register_tensor=l.asm.register_tensor).apply(null,arguments)},JI=l._dispose_data=function(){return(JI=l._dispose_data=l.asm.dispose_data).apply(null,arguments)},QI=l._dispose=function(){return(QI=l._dispose=l.asm.dispose).apply(null,arguments)},tv=l._Abs=function(){return(tv=l._Abs=l.asm.Abs).apply(null,arguments)},ev=l._Add=function(){return(ev=l._Add=l.asm.Add).apply(null,arguments)},rv=l._AddN=function(){return(rv=l._AddN=l.asm.AddN).apply(null,arguments)},nv=l._All=function(){return(nv=l._All=l.asm.All).apply(null,arguments)},ov=l._Any=function(){return(ov=l._Any=l.asm.Any).apply(null,arguments)},sv=l._ArgMax=function(){return(sv=l._ArgMax=l.asm.ArgMax).apply(null,arguments)},iv=l._AvgPool=function(){return(iv=l._AvgPool=l.asm.AvgPool).apply(null,arguments)},av=l._BatchMatMul=function(){return(av=l._BatchMatMul=l.asm.BatchMatMul).apply(null,arguments)},lv=l._Ceil=function(){return(lv=l._Ceil=l.asm.Ceil).apply(null,arguments)},uv=l._ClipByValue=function(){return(uv=l._ClipByValue=l.asm.ClipByValue).apply(null,arguments)},cv=l._Conv2D=function(){return(cv=l._Conv2D=l.asm.Conv2D).apply(null,arguments)},pv=l._Conv2DBackpropInput=function(){return(pv=l._Conv2DBackpropInput=l.asm.Conv2DBackpropInput).apply(null,arguments)},mv=l._Cos=function(){return(mv=l._Cos=l.asm.Cos).apply(null,arguments)},fv=l._Cosh=function(){return(fv=l._Cosh=l.asm.Cosh).apply(null,arguments)},dv=l._CropAndResize=function(){return(dv=l._CropAndResize=l.asm.CropAndResize).apply(null,arguments)},hv=l._Cumprod=function(){return(hv=l._Cumprod=l.asm.Cumprod).apply(null,arguments)},gv=l._Cumsum=function(){return(gv=l._Cumsum=l.asm.Cumsum).apply(null,arguments)},xv=l._DepthToSpace=function(){return(xv=l._DepthToSpace=l.asm.DepthToSpace).apply(null,arguments)},yv=l._DepthwiseConv2dNative=function(){return(yv=l._DepthwiseConv2dNative=l.asm.DepthwiseConv2dNative).apply(null,arguments)},bv=l._Elu=function(){return(bv=l._Elu=l.asm.Elu).apply(null,arguments)},wv=l._Equal=function(){return(wv=l._Equal=l.asm.Equal).apply(null,arguments)},Cv=l._Exp=function(){return(Cv=l._Exp=l.asm.Exp).apply(null,arguments)},Iv=l._FlipLeftRight=function(){return(Iv=l._FlipLeftRight=l.asm.FlipLeftRight).apply(null,arguments)},vv=l._Floor=function(){return(vv=l._Floor=l.asm.Floor).apply(null,arguments)},Sv=l._FloorDiv=function(){return(Sv=l._FloorDiv=l.asm.FloorDiv).apply(null,arguments)},Nv=l._FusedBatchNorm=function(){return(Nv=l._FusedBatchNorm=l.asm.FusedBatchNorm).apply(null,arguments)},kv=l._FusedConv2D=function(){return(kv=l._FusedConv2D=l.asm.FusedConv2D).apply(null,arguments)},Tv=l._FusedDepthwiseConv2D=function(){return(Tv=l._FusedDepthwiseConv2D=l.asm.FusedDepthwiseConv2D).apply(null,arguments)},Ev=l._Gather=function(){return(Ev=l._Gather=l.asm.Gather).apply(null,arguments)},_v=l._GatherNd=function(){return(_v=l._GatherNd=l.asm.GatherNd).apply(null,arguments)},Av=l._Greater=function(){return(Av=l._Greater=l.asm.Greater).apply(null,arguments)},$v=l._GreaterEqual=function(){return($v=l._GreaterEqual=l.asm.GreaterEqual).apply(null,arguments)},Dv=l._LeakyRelu=function(){return(Dv=l._LeakyRelu=l.asm.LeakyRelu).apply(null,arguments)},Rv=l._Less=function(){return(Rv=l._Less=l.asm.Less).apply(null,arguments)},Fv=l._LessEqual=function(){return(Fv=l._LessEqual=l.asm.LessEqual).apply(null,arguments)},Ov=l._Log=function(){return(Ov=l._Log=l.asm.Log).apply(null,arguments)},Pv=l._LogicalAnd=function(){return(Pv=l._LogicalAnd=l.asm.LogicalAnd).apply(null,arguments)},Lv=l._LogicalNot=function(){return(Lv=l._LogicalNot=l.asm.LogicalNot).apply(null,arguments)},Mv=l._LogicalOr=function(){return(Mv=l._LogicalOr=l.asm.LogicalOr).apply(null,arguments)},zv=l._LogicalXor=function(){return(zv=l._LogicalXor=l.asm.LogicalXor).apply(null,arguments)},Bv=l._Max=function(){return(Bv=l._Max=l.asm.Max).apply(null,arguments)},wg=l._MaxPool=function(){return(wg=l._MaxPool=l.asm.MaxPool).apply(null,arguments)},Cg=l._Maximum=function(){return(Cg=l._Maximum=l.asm.Maximum).apply(null,arguments)},Ld=l._Mean=function(){return(Ld=l._Mean=l.asm.Mean).apply(null,arguments)},Vv=l._Min=function(){return(Vv=l._Min=l.asm.Min).apply(null,arguments)},Gv=l._Minimum=function(){return(Gv=l._Minimum=l.asm.Minimum).apply(null,arguments)},Qc=l._MirrorPad=function(){return(Qc=l._MirrorPad=l.asm.MirrorPad).apply(null,arguments)},Ig=l._Multiply=function(){return(Ig=l._Multiply=l.asm.Multiply).apply(null,arguments)},tp=l._Neg=function(){return(tp=l._Neg=l.asm.Neg).apply(null,arguments)},ep=l._NonMaxSuppressionV3=function(){return(ep=l._NonMaxSuppressionV3=l.asm.NonMaxSuppressionV3).apply(null,arguments)},Wv=l._NonMaxSuppressionV4=function(){return(Wv=l._NonMaxSuppressionV4=l.asm.NonMaxSuppressionV4).apply(null,arguments)},K=l._NonMaxSuppressionV5=function(){return(K=l._NonMaxSuppressionV5=l.asm.NonMaxSuppressionV5).apply(null,arguments)},lt=l._NotEqual=function(){return(lt=l._NotEqual=l.asm.NotEqual).apply(null,arguments)},Et=l._OneHot=function(){return(Et=l._OneHot=l.asm.OneHot).apply(null,arguments)},re=l._PadV2=function(){return(re=l._PadV2=l.asm.PadV2).apply(null,arguments)},Ke=l._Pow=function(){return(Ke=l._Pow=l.asm.Pow).apply(null,arguments)},je=l._Prelu=function(){return(je=l._Prelu=l.asm.Prelu).apply(null,arguments)},ee=l._Prod=function(){return(ee=l._Prod=l.asm.Prod).apply(null,arguments)},te=l._RealDiv=function(){return(te=l._RealDiv=l.asm.RealDiv).apply(null,arguments)},mr=l._Relu=function(){return(mr=l._Relu=l.asm.Relu).apply(null,arguments)},qn=l._Relu6=function(){return(qn=l._Relu6=l.asm.Relu6).apply(null,arguments)},Ji=l._ResizeBilinear=function(){return(Ji=l._ResizeBilinear=l.asm.ResizeBilinear).apply(null,arguments)},vg=l._ResizeNearestNeighbor=function(){return(vg=l._ResizeNearestNeighbor=l.asm.ResizeNearestNeighbor).apply(null,arguments)},Md=l._Reverse=function(){return(Md=l._Reverse=l.asm.Reverse).apply(null,arguments)},Uv=l._RotateWithOffset=function(){return(Uv=l._RotateWithOffset=l.asm.RotateWithOffset).apply(null,arguments)},rn=l._Round=function(){return(rn=l._Round=l.asm.Round).apply(null,arguments)},vl=l._Rsqrt=function(){return(vl=l._Rsqrt=l.asm.Rsqrt).apply(null,arguments)},Sg=l._ScatterNd=function(){return(Sg=l._ScatterNd=l.asm.ScatterNd).apply(null,arguments)},VW=l._SelectV2=function(){return(VW=l._SelectV2=l.asm.SelectV2).apply(null,arguments)},GW=l._Sigmoid=function(){return(GW=l._Sigmoid=l.asm.Sigmoid).apply(null,arguments)},WW=l._Sin=function(){return(WW=l._Sin=l.asm.Sin).apply(null,arguments)},UW=l._Softmax=function(){return(UW=l._Softmax=l.asm.Softmax).apply(null,arguments)},HW=l._SparseFillEmptyRows=function(){return(HW=l._SparseFillEmptyRows=l.asm.SparseFillEmptyRows).apply(null,arguments)},qW=l._SparseReshape=function(){return(qW=l._SparseReshape=l.asm.SparseReshape).apply(null,arguments)},KW=l._SparseSegmentReduction=function(){return(KW=l._SparseSegmentReduction=l.asm.SparseSegmentReduction).apply(null,arguments)},jW=l._Sqrt=function(){return(jW=l._Sqrt=l.asm.Sqrt).apply(null,arguments)},XW=l._Square=function(){return(XW=l._Square=l.asm.Square).apply(null,arguments)},YW=l._SquaredDifference=function(){return(YW=l._SquaredDifference=l.asm.SquaredDifference).apply(null,arguments)},ZW=l._Step=function(){return(ZW=l._Step=l.asm.Step).apply(null,arguments)},JW=l._StridedSlice=function(){return(JW=l._StridedSlice=l.asm.StridedSlice).apply(null,arguments)},QW=l._Sub=function(){return(QW=l._Sub=l.asm.Sub).apply(null,arguments)},tU=l._Sum=function(){return(tU=l._Sum=l.asm.Sum).apply(null,arguments)},eU=l._Tan=function(){return(eU=l._Tan=l.asm.Tan).apply(null,arguments)},rU=l._Tanh=function(){return(rU=l._Tanh=l.asm.Tanh).apply(null,arguments)},nU=l._Tile=function(){return(nU=l._Tile=l.asm.Tile).apply(null,arguments)},oU=l._TopK=function(){return(oU=l._TopK=l.asm.TopK).apply(null,arguments)},sU=l._Transform=function(){return(sU=l._Transform=l.asm.Transform).apply(null,arguments)},iU=l._Transpose=function(){return(iU=l._Transpose=l.asm.Transpose).apply(null,arguments)},aU=l.__FusedMatMul=function(){return(aU=l.__FusedMatMul=l.asm._FusedMatMul).apply(null,arguments)},lU=l._malloc=function(){return(lU=l._malloc=l.asm.malloc).apply(null,arguments)},uU=l._free=function(){return(uU=l._free=l.asm.free).apply(null,arguments)},cU=l.__emscripten_tls_init=function(){return(cU=l.__emscripten_tls_init=l.asm._emscripten_tls_init).apply(null,arguments)},Ng=l._pthread_self=function(){return(Ng=l._pthread_self=l.asm.pthread_self).apply(null,arguments)},pU=l.___errno_location=function(){return(pU=l.___errno_location=l.asm.__errno_location).apply(null,arguments)},qT=l.__emscripten_thread_init=function(){return(qT=l.__emscripten_thread_init=l.asm._emscripten_thread_init).apply(null,arguments)},mU=l.__emscripten_thread_crashed=function(){return(mU=l.__emscripten_thread_crashed=l.asm._emscripten_thread_crashed).apply(null,arguments)},fU=l._emscripten_main_thread_process_queued_calls=function(){return(fU=l._emscripten_main_thread_process_queued_calls=l.asm.emscripten_main_thread_process_queued_calls).apply(null,arguments)},dU=l._emscripten_main_browser_thread_id=function(){return(dU=l._emscripten_main_browser_thread_id=l.asm.emscripten_main_browser_thread_id).apply(null,arguments)},KT=l._emscripten_run_in_main_runtime_thread_js=function(){return(KT=l._emscripten_run_in_main_runtime_thread_js=l.asm.emscripten_run_in_main_runtime_thread_js).apply(null,arguments)},hU=l._emscripten_dispatch_to_thread_=function(){return(hU=l._emscripten_dispatch_to_thread_=l.asm.emscripten_dispatch_to_thread_).apply(null,arguments)},jT=l.__emscripten_proxy_execute_task_queue=function(){return(jT=l.__emscripten_proxy_execute_task_queue=l.asm._emscripten_proxy_execute_task_queue).apply(null,arguments)},Hv=l.__emscripten_thread_free_data=function(){return(Hv=l.__emscripten_thread_free_data=l.asm._emscripten_thread_free_data).apply(null,arguments)},XT=l.__emscripten_thread_exit=function(){return(XT=l.__emscripten_thread_exit=l.asm._emscripten_thread_exit).apply(null,arguments)},YT=l._emscripten_stack_set_limits=function(){return(YT=l._emscripten_stack_set_limits=l.asm.emscripten_stack_set_limits).apply(null,arguments)},qv=l.stackSave=function(){return(qv=l.stackSave=l.asm.stackSave).apply(null,arguments)},kg=l.stackRestore=function(){return(kg=l.stackRestore=l.asm.stackRestore).apply(null,arguments)},Tg=l.stackAlloc=function(){return(Tg=l.stackAlloc=l.asm.stackAlloc).apply(null,arguments)},gU=l.dynCall_iijjiiii=function(){return(gU=l.dynCall_iijjiiii=l.asm.dynCall_iijjiiii).apply(null,arguments)},xU=l.dynCall_jiji=function(){return(xU=l.dynCall_jiji=l.asm.dynCall_jiji).apply(null,arguments)};l.keepRuntimeAlive=Lo,l.wasmMemory=it,l.cwrap=HI,l.ExitStatus=Du,l.PThread=qt;var Eg;Zi=function L(){Eg||ZT(),Eg||(Zi=L)};function ZT(L){if(L=L||d,Cl>0)return;if(C){c(l),Nr(),postMessage({cmd:"loaded"});return}if(wl(),Cl>0)return;function U(){Eg||(Eg=!0,l.calledRun=!0,!ht&&(Nr(),c(l),l.onRuntimeInitialized&&l.onRuntimeInitialized(),Yi()))}l.setStatus?(l.setStatus("Running..."),setTimeout(function(){setTimeout(function(){l.setStatus("")},1),U()},1)):U()}if(l.preInit)for(typeof l.preInit=="function"&&(l.preInit=[l.preInit]);l.preInit.length>0;)l.preInit.pop()();ZT();var _g;m&&(_g={uncaughtException:process.listeners("uncaughtException").filter(function(L){return!m.uncaughtException.indexOf(L)>-1}),unhandledRejection:process.listeners("unhandledRejection").filter(function(L){return!m.unhandledRejection.indexOf(L)>-1})});var Ag;if(typeof WasmBackendModule!="undefined")Ag=WasmBackendModule;else if(typeof t!="undefined")Ag=t;else throw new Error("Could not find wasm module in post.js");if(_g){var yU=Ag._dispose;Ag._dispose=function(){yU(),_g.uncaughtException.forEach(function(L){process.removeListener("uncaughtException",L)}),_g.unhandledRejection.forEach(function(L){process.removeListener("unhandledRejection",L)})}}return t.ready}})();typeof lI=="object"&&typeof AT=="object"?AT.exports=_T:typeof define=="function"&&define.amd?define([],function(){return _T}):typeof lI=="object"&&(lI.WasmBackendModuleThreadedSimd=_T)});var FW=dr((HXe,RW)=>{RW.exports.wasmWorkerContents=`"use strict";var Module={};var ENVIRONMENT_IS_NODE=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string";if(ENVIRONMENT_IS_NODE){var nodeWorkerThreads=require("worker_threads");var parentPort=nodeWorkerThreads.parentPort;parentPort.on("message",data=>onmessage({data:data}));var fs=require("fs");Object.assign(global,{self:global,require:require,Module:Module,location:{href:__filename},Worker:nodeWorkerThreads.Worker,importScripts:function(f){(0,eval)(fs.readFileSync(f,"utf8"))},postMessage:function(msg){parentPort.postMessage(msg)},performance:global.performance||{now:function(){return Date.now()}}})}var initializedJS=false;var pendingNotifiedProxyingQueues=[];function threadPrintErr(){var text=Array.prototype.slice.call(arguments).join(" ");if(ENVIRONMENT_IS_NODE){fs.writeSync(2,text+" -");return}console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(" ");postMessage({cmd:"alert",text:text,threadId:Module["_pthread_self"]()})}var err=threadPrintErr;self.alert=threadAlert;Module["instantiateWasm"]=(info,receiveInstance)=>{var instance=new WebAssembly.Instance(Module["wasmModule"],info);receiveInstance(instance);Module["wasmModule"]=null;return instance.exports};self.onunhandledrejection=e=>{throw e.reason??e};self.onmessage=e=>{try{if(e.data.cmd==="load"){Module["wasmModule"]=e.data.wasmModule;Module["wasmMemory"]=e.data.wasmMemory;Module["buffer"]=Module["wasmMemory"].buffer;Module["ENVIRONMENT_IS_PTHREAD"]=true;if(typeof e.data.urlOrBlob=="string"){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}WasmBackendModuleThreadedSimd(Module).then(function(instance){Module=instance})}else if(e.data.cmd==="run"){Module["__performance_now_clock_drift"]=performance.now()-e.data.time;Module["__emscripten_thread_init"](e.data.pthread_ptr,0,0,1);Module["establishStackSpace"]();Module["PThread"].receiveObjectTransfer(e.data);Module["PThread"].threadInitTLS();if(!initializedJS){pendingNotifiedProxyingQueues.forEach(queue=>{Module["executeNotifiedProxyingQueue"](queue)});pendingNotifiedProxyingQueues=[];initializedJS=true}try{Module["invokeEntryPoint"](e.data.start_routine,e.data.arg)}catch(ex){if(ex!="unwind"){if(ex instanceof Module["ExitStatus"]){if(Module["keepRuntimeAlive"]()){}else{Module["__emscripten_thread_exit"](ex.status)}}else{throw ex}}}}else if(e.data.cmd==="cancel"){if(Module["_pthread_self"]()){Module["__emscripten_thread_exit"](-1)}}else if(e.data.target==="setimmediate"){}else if(e.data.cmd==="processProxyingQueue"){if(initializedJS){Module["executeNotifiedProxyingQueue"](e.data.queue)}else{pendingNotifiedProxyingQueues.push(e.data.queue)}}else if(e.data.cmd){err("worker.js received unknown command "+e.data.cmd);err(e.data)}}catch(ex){if(Module["__emscripten_thread_crashed"]){Module["__emscripten_thread_crashed"]()}throw ex}};`});var OW=dr((uI,DT)=>{var $T=(()=>{var r=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(r=r||__filename),function(t){t=t||{};var e=typeof t!="undefined"?t:{},n,o;e.ready=new Promise(function(K,lt){n=K,o=lt});var s;typeof process!="undefined"&&process.listeners&&(s={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var i=Object.assign({},e),a=[],u="./this.program",l=(K,lt)=>{throw lt},c=typeof window=="object",p=typeof importScripts=="function",m=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",f="";function d(K){return e.locateFile?e.locateFile(K,f):f+K}var h,g,x,b;function w(K){if(K instanceof Xc)return;A("exiting due to exception: "+K)}if(m){p?f=eg().dirname(f)+"/":f=__dirname+"/";var C,N;typeof $g=="function"&&(C=qb(),N=eg()),h=(K,lt)=>(K=N.normalize(K),C.readFileSync(K,lt?void 0:"utf8")),x=K=>{var lt=h(K,!0);return lt.buffer||(lt=new Uint8Array(lt)),lt},g=(K,lt,Et)=>{K=N.normalize(K),C.readFile(K,function(re,Ke){re?Et(re):lt(Ke.buffer)})},process.argv.length>1&&(u=process.argv[1].replace(/\\/g,"/")),a=process.argv.slice(2),process.on("uncaughtException",function(K){if(!(K instanceof Xc))throw K}),process.on("unhandledRejection",function(K){throw K}),l=(K,lt)=>{if(fe())throw process.exitCode=K,lt;w(lt),process.exit(K)},e.inspect=function(){return"[Emscripten Module object]"}}else(c||p)&&(p?f=self.location.href:typeof document!="undefined"&&document.currentScript&&(f=document.currentScript.src),r&&(f=r),f.indexOf("blob:")!==0?f=f.substr(0,f.replace(/[?#].*/,"").lastIndexOf("/")+1):f="",h=K=>{var lt=new XMLHttpRequest;return lt.open("GET",K,!1),lt.send(null),lt.responseText},p&&(x=K=>{var lt=new XMLHttpRequest;return lt.open("GET",K,!1),lt.responseType="arraybuffer",lt.send(null),new Uint8Array(lt.response)}),g=(K,lt,Et)=>{var re=new XMLHttpRequest;re.open("GET",K,!0),re.responseType="arraybuffer",re.onload=()=>{if(re.status==200||re.status==0&&re.response){lt(re.response);return}Et()},re.onerror=Et,re.send(null)},b=K=>document.title=K);var _=e.print||console.log.bind(console),A=e.printErr||console.warn.bind(console);Object.assign(e,i),i=null,e.arguments&&(a=e.arguments),e.thisProgram&&(u=e.thisProgram),e.quit&&(l=e.quit);var $=4,F;e.wasmBinary&&(F=e.wasmBinary);var P=e.noExitRuntime||!0;typeof WebAssembly!="object"&&jr("no native wasm support detected");var V,G=!1,W;function q(K,lt){K||jr(lt)}var H=typeof TextDecoder!="undefined"?new TextDecoder("utf8"):void 0;function j(K,lt,Et){for(var re=lt+Et,Ke=lt;K[Ke]&&!(Ke>=re);)++Ke;if(Ke-lt>16&&K.buffer&&H)return H.decode(K.subarray(lt,Ke));for(var je="";lt>10,56320|qn&1023)}}return je}function Y(K,lt){return K?j(at,K,lt):""}function Z(K,lt,Et,re){if(!(re>0))return 0;for(var Ke=Et,je=Et+re-1,ee=0;ee=55296&&te<=57343){var mr=K.charCodeAt(++ee);te=65536+((te&1023)<<10)|mr&1023}if(te<=127){if(Et>=je)break;lt[Et++]=te}else if(te<=2047){if(Et+1>=je)break;lt[Et++]=192|te>>6,lt[Et++]=128|te&63}else if(te<=65535){if(Et+2>=je)break;lt[Et++]=224|te>>12,lt[Et++]=128|te>>6&63,lt[Et++]=128|te&63}else{if(Et+3>=je)break;lt[Et++]=240|te>>18,lt[Et++]=128|te>>12&63,lt[Et++]=128|te>>6&63,lt[Et++]=128|te&63}}return lt[Et]=0,Et-Ke}function et(K,lt,Et){return Z(K,at,lt,Et)}var rt,ot,at,nt,it,dt,ht,bt,Tt;function _t(K){rt=K,e.HEAP8=ot=new Int8Array(K),e.HEAP16=nt=new Int16Array(K),e.HEAP32=dt=new Int32Array(K),e.HEAPU8=at=new Uint8Array(K),e.HEAPU16=it=new Uint16Array(K),e.HEAPU32=ht=new Uint32Array(K),e.HEAPF32=bt=new Float32Array(K),e.HEAPF64=Tt=new Float64Array(K)}var Bt=e.INITIAL_MEMORY||16777216,Yt,ce=[],he=[],Kt=[],Te=!1;function fe(){return P}function Ae(){if(e.preRun)for(typeof e.preRun=="function"&&(e.preRun=[e.preRun]);e.preRun.length;)nr(e.preRun.shift());Zi(ce)}function Ge(){Te=!0,Zi(he)}function En(){if(e.postRun)for(typeof e.postRun=="function"&&(e.postRun=[e.postRun]);e.postRun.length;)Or(e.postRun.shift());Zi(Kt)}function nr(K){ce.unshift(K)}function Wn(K){he.unshift(K)}function Or(K){Kt.unshift(K)}var qe=0,Pr=null,Lr=null;function Un(K){qe++,e.monitorRunDependencies&&e.monitorRunDependencies(qe)}function Hn(K){if(qe--,e.monitorRunDependencies&&e.monitorRunDependencies(qe),qe==0&&(Pr!==null&&(clearInterval(Pr),Pr=null),Lr)){var lt=Lr;Lr=null,lt()}}function jr(K){e.onAbort&&e.onAbort(K),K="Aborted("+K+")",A(K),G=!0,W=1,K+=". Build with -sASSERTIONS for more info.";var lt=new WebAssembly.RuntimeError(K);throw o(lt),lt}var Xi="data:application/octet-stream;base64,";function Lo(K){return K.startsWith(Xi)}function wl(K){return K.startsWith("file://")}var Nr;Nr="tfjs-backend-wasm.wasm",Lo(Nr)||(Nr=d(Nr));function Yi(K){try{if(K==Nr&&F)return new Uint8Array(F);if(x)return x(K);throw"both async and sync fetching of the wasm failed"}catch(lt){jr(lt)}}function _d(){if(!F&&(c||p)){if(typeof fetch=="function"&&!wl(Nr))return fetch(Nr,{credentials:"same-origin"}).then(function(K){if(!K.ok)throw"failed to load wasm binary file at '"+Nr+"'";return K.arrayBuffer()}).catch(function(){return Yi(Nr)});if(g)return new Promise(function(K,lt){g(Nr,function(Et){K(new Uint8Array(Et))},lt)})}return Promise.resolve().then(function(){return Yi(Nr)})}function Ad(){var K={env:Rd,wasi_snapshot_preview1:Rd};function lt(ee,te){var mr=ee.exports;e.asm=mr,V=e.asm.memory,_t(V.buffer),Yt=e.asm.__indirect_function_table,Wn(e.asm.__wasm_call_ctors),Hn("wasm-instantiate")}Un("wasm-instantiate");function Et(ee){lt(ee.instance)}function re(ee){return _d().then(function(te){return WebAssembly.instantiate(te,K)}).then(function(te){return te}).then(ee,function(te){A("failed to asynchronously prepare wasm: "+te),jr(te)})}function Ke(){return!F&&typeof WebAssembly.instantiateStreaming=="function"&&!Lo(Nr)&&!wl(Nr)&&!m&&typeof fetch=="function"?fetch(Nr,{credentials:"same-origin"}).then(function(ee){var te=WebAssembly.instantiateStreaming(ee,K);return te.then(Et,function(mr){return A("wasm streaming compile failed: "+mr),A("falling back to ArrayBuffer instantiation"),re(Et)})}):re(Et)}if(e.instantiateWasm)try{var je=e.instantiateWasm(K,lt);return je}catch(ee){A("Module.instantiateWasm callback failed with error: "+ee),o(ee)}return Ke().catch(o),{}}var LT,Cl;function Xc(K){this.name="ExitStatus",this.message="Program terminated with exit("+K+")",this.status=K}function Zi(K){for(;K.length>0;)K.shift()(e)}function MT(K){return K}function zT(K){var lt=/\b_Z[\w\d_]+/g;return K.replace(lt,function(Et){var re=Et;return Et===re?Et:re+" ["+Et+"]"})}function Yc(){var K=new Error;if(!K.stack){try{throw new Error}catch(lt){K=lt}if(!K.stack)return"(no stack trace available)"}return K.stack.toString()}function pI(K,lt){ot.set(K,lt)}function ig(){jr("")}function $d(){return 2147483648}function en(){return $d()}function ag(K,lt,Et){at.copyWithin(K,lt,lt+Et)}function mI(K){try{return V.grow(K-rt.byteLength+65535>>>16),_t(V.buffer),1}catch(lt){}}function fI(K){var lt=at.length;K=K>>>0;var Et=$d();if(K>Et)return!1;let re=(mr,qn)=>mr+(qn-mr%qn)%qn;for(var Ke=1;Ke<=4;Ke*=2){var je=lt*(1+.2/Ke);je=Math.min(je,K+100663296);var ee=Math.min(Et,re(Math.max(K,je),65536)),te=mI(ee);if(te)return!0}return!1}var dI={varargs:void 0,get:function(){dI.varargs+=4;var K=dt[dI.varargs-4>>2];return K},getStr:function(K){var lt=Y(K);return lt}};function BT(K){return 52}function hI(K,lt,Et,re,Ke){return 70}var Du=[null,[],[]];function gI(K,lt){var Et=Du[K];lt===0||lt===10?((K===1?_:A)(j(Et,0)),Et.length=0):Et.push(lt)}function xI(K,lt,Et,re){for(var Ke=0,je=0;je>2],te=ht[lt+4>>2];lt+=8;for(var mr=0;mr>2]=Ke,0}function Dd(K){var lt=e["_"+K];return lt}function lg(K,lt,Et,re,Ke){var je={string:rn=>{var vl=0;if(rn!=null&&rn!==0){var Sg=(rn.length<<2)+1;vl=Ld(Sg),et(rn,vl,Sg)}return vl},array:rn=>{var vl=Ld(rn.length);return pI(rn,vl),vl}};function ee(rn){return lt==="string"?Y(rn):lt==="boolean"?Boolean(rn):rn}var te=Dd(K),mr=[],qn=0;if(re)for(var Ji=0;Jiee==="number"||ee==="boolean"),je=lt!=="string";return je&&Ke&&!re?Dd(K):function(){return lg(K,lt,Et,arguments,re)}}var Rd={abort:ig,emscripten_get_heap_max:en,emscripten_memcpy_big:ag,emscripten_resize_heap:fI,fd_close:BT,fd_seek:hI,fd_write:xI},VT=Ad(),cg=e.___wasm_call_ctors=function(){return(cg=e.___wasm_call_ctors=e.asm.__wasm_call_ctors).apply(null,arguments)},yI=e._init=function(){return(yI=e._init=e.asm.init).apply(null,arguments)},qt=e._init_with_threads_count=function(){return(qt=e._init_with_threads_count=e.asm.init_with_threads_count).apply(null,arguments)},Fd=e._get_threads_count=function(){return(Fd=e._get_threads_count=e.asm.get_threads_count).apply(null,arguments)},bI=e._register_tensor=function(){return(bI=e._register_tensor=e.asm.register_tensor).apply(null,arguments)},GT=e._dispose_data=function(){return(GT=e._dispose_data=e.asm.dispose_data).apply(null,arguments)},WT=e._dispose=function(){return(WT=e._dispose=e.asm.dispose).apply(null,arguments)},wI=e._Abs=function(){return(wI=e._Abs=e.asm.Abs).apply(null,arguments)},pg=e._Add=function(){return(pg=e._Add=e.asm.Add).apply(null,arguments)},Zc=e._AddN=function(){return(Zc=e._AddN=e.asm.AddN).apply(null,arguments)},CI=e._All=function(){return(CI=e._All=e.asm.All).apply(null,arguments)},II=e._Any=function(){return(II=e._Any=e.asm.Any).apply(null,arguments)},UT=e._ArgMax=function(){return(UT=e._ArgMax=e.asm.ArgMax).apply(null,arguments)},vI=e._AvgPool=function(){return(vI=e._AvgPool=e.asm.AvgPool).apply(null,arguments)},SI=e._BatchMatMul=function(){return(SI=e._BatchMatMul=e.asm.BatchMatMul).apply(null,arguments)},NI=e._Ceil=function(){return(NI=e._Ceil=e.asm.Ceil).apply(null,arguments)},kI=e._ClipByValue=function(){return(kI=e._ClipByValue=e.asm.ClipByValue).apply(null,arguments)},mg=e._Conv2D=function(){return(mg=e._Conv2D=e.asm.Conv2D).apply(null,arguments)},fg=e._Conv2DBackpropInput=function(){return(fg=e._Conv2DBackpropInput=e.asm.Conv2DBackpropInput).apply(null,arguments)},TI=e._Cos=function(){return(TI=e._Cos=e.asm.Cos).apply(null,arguments)},EI=e._Cosh=function(){return(EI=e._Cosh=e.asm.Cosh).apply(null,arguments)},_I=e._CropAndResize=function(){return(_I=e._CropAndResize=e.asm.CropAndResize).apply(null,arguments)},Od=e._Cumprod=function(){return(Od=e._Cumprod=e.asm.Cumprod).apply(null,arguments)},AI=e._Cumsum=function(){return(AI=e._Cumsum=e.asm.Cumsum).apply(null,arguments)},$I=e._DepthToSpace=function(){return($I=e._DepthToSpace=e.asm.DepthToSpace).apply(null,arguments)},DI=e._DepthwiseConv2dNative=function(){return(DI=e._DepthwiseConv2dNative=e.asm.DepthwiseConv2dNative).apply(null,arguments)},Ru=e._Elu=function(){return(Ru=e._Elu=e.asm.Elu).apply(null,arguments)},RI=e._Equal=function(){return(RI=e._Equal=e.asm.Equal).apply(null,arguments)},FI=e._Exp=function(){return(FI=e._Exp=e.asm.Exp).apply(null,arguments)},dg=e._FlipLeftRight=function(){return(dg=e._FlipLeftRight=e.asm.FlipLeftRight).apply(null,arguments)},OI=e._Floor=function(){return(OI=e._Floor=e.asm.Floor).apply(null,arguments)},Jc=e._FloorDiv=function(){return(Jc=e._FloorDiv=e.asm.FloorDiv).apply(null,arguments)},PI=e._FusedBatchNorm=function(){return(PI=e._FusedBatchNorm=e.asm.FusedBatchNorm).apply(null,arguments)},LI=e._FusedConv2D=function(){return(LI=e._FusedConv2D=e.asm.FusedConv2D).apply(null,arguments)},Il=e._FusedDepthwiseConv2D=function(){return(Il=e._FusedDepthwiseConv2D=e.asm.FusedDepthwiseConv2D).apply(null,arguments)},Pd=e._Gather=function(){return(Pd=e._Gather=e.asm.Gather).apply(null,arguments)},MI=e._GatherNd=function(){return(MI=e._GatherNd=e.asm.GatherNd).apply(null,arguments)},zI=e._Greater=function(){return(zI=e._Greater=e.asm.Greater).apply(null,arguments)},BI=e._GreaterEqual=function(){return(BI=e._GreaterEqual=e.asm.GreaterEqual).apply(null,arguments)},VI=e._LeakyRelu=function(){return(VI=e._LeakyRelu=e.asm.LeakyRelu).apply(null,arguments)},hg=e._Less=function(){return(hg=e._Less=e.asm.Less).apply(null,arguments)},gg=e._LessEqual=function(){return(gg=e._LessEqual=e.asm.LessEqual).apply(null,arguments)},GI=e._Log=function(){return(GI=e._Log=e.asm.Log).apply(null,arguments)},WI=e._LogicalAnd=function(){return(WI=e._LogicalAnd=e.asm.LogicalAnd).apply(null,arguments)},xg=e._LogicalNot=function(){return(xg=e._LogicalNot=e.asm.LogicalNot).apply(null,arguments)},yg=e._LogicalOr=function(){return(yg=e._LogicalOr=e.asm.LogicalOr).apply(null,arguments)},UI=e._LogicalXor=function(){return(UI=e._LogicalXor=e.asm.LogicalXor).apply(null,arguments)},HI=e._Max=function(){return(HI=e._Max=e.asm.Max).apply(null,arguments)},qI=e._MaxPool=function(){return(qI=e._MaxPool=e.asm.MaxPool).apply(null,arguments)},bg=e._Maximum=function(){return(bg=e._Maximum=e.asm.Maximum).apply(null,arguments)},HT=e._Mean=function(){return(HT=e._Mean=e.asm.Mean).apply(null,arguments)},KI=e._Min=function(){return(KI=e._Min=e.asm.Min).apply(null,arguments)},jI=e._Minimum=function(){return(jI=e._Minimum=e.asm.Minimum).apply(null,arguments)},XI=e._MirrorPad=function(){return(XI=e._MirrorPad=e.asm.MirrorPad).apply(null,arguments)},YI=e._Multiply=function(){return(YI=e._Multiply=e.asm.Multiply).apply(null,arguments)},ZI=e._Neg=function(){return(ZI=e._Neg=e.asm.Neg).apply(null,arguments)},JI=e._NonMaxSuppressionV3=function(){return(JI=e._NonMaxSuppressionV3=e.asm.NonMaxSuppressionV3).apply(null,arguments)},QI=e._NonMaxSuppressionV4=function(){return(QI=e._NonMaxSuppressionV4=e.asm.NonMaxSuppressionV4).apply(null,arguments)},tv=e._NonMaxSuppressionV5=function(){return(tv=e._NonMaxSuppressionV5=e.asm.NonMaxSuppressionV5).apply(null,arguments)},ev=e._NotEqual=function(){return(ev=e._NotEqual=e.asm.NotEqual).apply(null,arguments)},rv=e._OneHot=function(){return(rv=e._OneHot=e.asm.OneHot).apply(null,arguments)},nv=e._PadV2=function(){return(nv=e._PadV2=e.asm.PadV2).apply(null,arguments)},ov=e._Pow=function(){return(ov=e._Pow=e.asm.Pow).apply(null,arguments)},sv=e._Prelu=function(){return(sv=e._Prelu=e.asm.Prelu).apply(null,arguments)},iv=e._Prod=function(){return(iv=e._Prod=e.asm.Prod).apply(null,arguments)},av=e._RealDiv=function(){return(av=e._RealDiv=e.asm.RealDiv).apply(null,arguments)},lv=e._Relu=function(){return(lv=e._Relu=e.asm.Relu).apply(null,arguments)},uv=e._Relu6=function(){return(uv=e._Relu6=e.asm.Relu6).apply(null,arguments)},cv=e._ResizeBilinear=function(){return(cv=e._ResizeBilinear=e.asm.ResizeBilinear).apply(null,arguments)},pv=e._ResizeNearestNeighbor=function(){return(pv=e._ResizeNearestNeighbor=e.asm.ResizeNearestNeighbor).apply(null,arguments)},mv=e._Reverse=function(){return(mv=e._Reverse=e.asm.Reverse).apply(null,arguments)},fv=e._RotateWithOffset=function(){return(fv=e._RotateWithOffset=e.asm.RotateWithOffset).apply(null,arguments)},dv=e._Round=function(){return(dv=e._Round=e.asm.Round).apply(null,arguments)},hv=e._Rsqrt=function(){return(hv=e._Rsqrt=e.asm.Rsqrt).apply(null,arguments)},gv=e._ScatterNd=function(){return(gv=e._ScatterNd=e.asm.ScatterNd).apply(null,arguments)},xv=e._SelectV2=function(){return(xv=e._SelectV2=e.asm.SelectV2).apply(null,arguments)},yv=e._Sigmoid=function(){return(yv=e._Sigmoid=e.asm.Sigmoid).apply(null,arguments)},bv=e._Sin=function(){return(bv=e._Sin=e.asm.Sin).apply(null,arguments)},wv=e._Softmax=function(){return(wv=e._Softmax=e.asm.Softmax).apply(null,arguments)},Cv=e._SparseFillEmptyRows=function(){return(Cv=e._SparseFillEmptyRows=e.asm.SparseFillEmptyRows).apply(null,arguments)},Iv=e._SparseReshape=function(){return(Iv=e._SparseReshape=e.asm.SparseReshape).apply(null,arguments)},vv=e._SparseSegmentReduction=function(){return(vv=e._SparseSegmentReduction=e.asm.SparseSegmentReduction).apply(null,arguments)},Sv=e._Sqrt=function(){return(Sv=e._Sqrt=e.asm.Sqrt).apply(null,arguments)},Nv=e._Square=function(){return(Nv=e._Square=e.asm.Square).apply(null,arguments)},kv=e._SquaredDifference=function(){return(kv=e._SquaredDifference=e.asm.SquaredDifference).apply(null,arguments)},Tv=e._Step=function(){return(Tv=e._Step=e.asm.Step).apply(null,arguments)},Ev=e._StridedSlice=function(){return(Ev=e._StridedSlice=e.asm.StridedSlice).apply(null,arguments)},_v=e._Sub=function(){return(_v=e._Sub=e.asm.Sub).apply(null,arguments)},Av=e._Sum=function(){return(Av=e._Sum=e.asm.Sum).apply(null,arguments)},$v=e._Tan=function(){return($v=e._Tan=e.asm.Tan).apply(null,arguments)},Dv=e._Tanh=function(){return(Dv=e._Tanh=e.asm.Tanh).apply(null,arguments)},Rv=e._Tile=function(){return(Rv=e._Tile=e.asm.Tile).apply(null,arguments)},Fv=e._TopK=function(){return(Fv=e._TopK=e.asm.TopK).apply(null,arguments)},Ov=e._Transform=function(){return(Ov=e._Transform=e.asm.Transform).apply(null,arguments)},Pv=e._Transpose=function(){return(Pv=e._Transpose=e.asm.Transpose).apply(null,arguments)},Lv=e.__FusedMatMul=function(){return(Lv=e.__FusedMatMul=e.asm._FusedMatMul).apply(null,arguments)},Mv=e._malloc=function(){return(Mv=e._malloc=e.asm.malloc).apply(null,arguments)},zv=e._free=function(){return(zv=e._free=e.asm.free).apply(null,arguments)},Bv=e.___errno_location=function(){return(Bv=e.___errno_location=e.asm.__errno_location).apply(null,arguments)},wg=e.stackSave=function(){return(wg=e.stackSave=e.asm.stackSave).apply(null,arguments)},Cg=e.stackRestore=function(){return(Cg=e.stackRestore=e.asm.stackRestore).apply(null,arguments)},Ld=e.stackAlloc=function(){return(Ld=e.stackAlloc=e.asm.stackAlloc).apply(null,arguments)},Vv=e.dynCall_iijjiiii=function(){return(Vv=e.dynCall_iijjiiii=e.asm.dynCall_iijjiiii).apply(null,arguments)},Gv=e.dynCall_jiji=function(){return(Gv=e.dynCall_jiji=e.asm.dynCall_jiji).apply(null,arguments)};e.cwrap=ug;var Qc;Lr=function K(){Qc||Ig(),Qc||(Lr=K)};function Ig(K){if(K=K||a,qe>0||(Ae(),qe>0))return;function lt(){Qc||(Qc=!0,e.calledRun=!0,!G&&(Ge(),n(e),e.onRuntimeInitialized&&e.onRuntimeInitialized(),En()))}e.setStatus?(e.setStatus("Running..."),setTimeout(function(){setTimeout(function(){e.setStatus("")},1),lt()},1)):lt()}if(e.preInit)for(typeof e.preInit=="function"&&(e.preInit=[e.preInit]);e.preInit.length>0;)e.preInit.pop()();Ig();var tp;s&&(tp={uncaughtException:process.listeners("uncaughtException").filter(function(K){return!s.uncaughtException.indexOf(K)>-1}),unhandledRejection:process.listeners("unhandledRejection").filter(function(K){return!s.unhandledRejection.indexOf(K)>-1})});var ep;if(typeof t!="undefined")ep=t;else if(typeof WasmBackendModuleThreadedSimd!="undefined")ep=WasmBackendModuleThreadedSimd;else throw new Error("Could not find wasm module in post.js");if(tp){var Wv=ep._dispose;ep._dispose=function(){Wv(),tp.uncaughtException.forEach(function(K){process.removeListener("uncaughtException",K)}),tp.unhandledRejection.forEach(function(K){process.removeListener("unhandledRejection",K)})}}return t.ready}})();typeof uI=="object"&&typeof DT=="object"?DT.exports=$T:typeof define=="function"&&define.amd?define([],function(){return $T}):typeof uI=="object"&&(uI.WasmBackendModule=$T)});var ta=class{constructor(t,e){this.backend=t,this.dataMover=e,this.data=new WeakMap,this.dataIdsCount=0}get(t){return this.data.has(t)||this.dataMover.moveData(this.backend,t),this.data.get(t)}set(t,e){this.dataIdsCount++,this.data.set(t,e)}has(t){return this.data.has(t)}delete(t){return this.dataIdsCount--,this.data.delete(t)}numDataIds(){return this.dataIdsCount}},Mo=class{refCount(t){return jn("refCount")}incRef(t){return jn("incRef")}timerAvailable(){return!0}time(t){return jn("time")}read(t){return jn("read")}readSync(t){return jn("readSync")}readToGPU(t,e){return jn("readToGPU")}numDataIds(){return jn("numDataIds")}disposeData(t,e){return jn("disposeData")}write(t,e,n){return jn("write")}move(t,e,n,o,s){return jn("move")}memory(){return jn("memory")}floatPrecision(){return jn("floatPrecision")}epsilon(){return this.floatPrecision()===32?1e-7:1e-4}dispose(){return jn("dispose")}};function jn(r){throw new Error(`'${r}' not yet implemented or not found in the registry. This kernel may not be supported by the tfjs backend you have chosen`)}function t1(r){let t=r.length,e=0;for(;t>0;)e=Math.random()*t|0,t--,Dg(r,t,e)}function kU(r,t){if(r.length!==t.length)throw new Error(`Array sizes must match to be shuffled together First array length was ${r.length}Second array length was ${t.length}`);let e=r.length,n=0;for(;e>0;)n=Math.random()*e|0,e--,Dg(r,e,n),Dg(t,e,n)}function np(r,t,e){return Math.max(r,Math.min(t,e))}function TU(r){return r%2===0?r:r+1}function Dg(r,t,e){let n=r[t];r[t]=r[e],r[e]=n}function EU(r){let t=0;for(let e=0;ee+` Shapes ${r} and ${t} must match`)}function Xn(r){E(r!=null,()=>"The input to the tensor constructor must be a non-null value.")}function zo(r,t=[],e=!1){if(t==null&&(t=[]),Array.isArray(r)||hr(r)&&!e)for(let n=0;n0,e,n=setTimeout){return new Promise((o,s)=>{let i=0,a=()=>{if(r()){o();return}i++;let u=t(i);if(e!=null&&i>=e){s();return}n(a,u)};a()})}function PU(r,t){let e=1,n=-1;for(let s=0;s=0)e*=r[s];else if(r[s]===-1){if(n!==-1)throw Error(`Shapes can only have 1 implicit size. Found -1 at dim ${n} and dim ${s}`);n=s}else if(r[s]<0)throw Error(`Shapes can not be < 0. Found ${r[s]} at dim ${s}`);if(n===-1){if(t>0&&t!==e)throw Error(`Size(${t}) must match the product of shape ${r}`);return r}if(e===0)throw Error(`Cannot infer the missing size in [${r}] when there are 0 elements`);if(t%e!==0)throw Error(`The implicit shape can't be a fractional number. Got ${t} / ${e}`);let o=r.slice();return o[n]=t/e,o}function ar(r,t){let e=t.length;return r=r==null?t.map((n,o)=>o):[].concat(r),E(r.every(n=>n>=-e&&n`All values in axis param must be in range [-${e}, ${e}) but got axis ${r}`),E(r.every(n=>ea(n)),()=>`All values in axis param must be integers but got axis ${r}`),r.map(n=>n<0?e+n:n)}function Xv(r,t){let e=[],n=[],o=t!=null&&Array.isArray(t)&&t.length===0,s=t==null||o?null:ar(t,r).sort(),i=0;for(let a=0;aa)&&r[a]===1&&(e.push(r[a]),n.push(a)),s[i]<=a&&i++}r[a]!==1&&(e.push(r[a]),n.push(a))}return{newShape:e,keptDims:n}}function Yv(r,t){let e=null;if(r==null||r==="float32")e=new Float32Array(t);else if(r==="int32")e=new Int32Array(t);else if(r==="bool")e=new Uint8Array(t);else throw new Error(`Unknown data type ${r}`);return e}function Zv(r,t){let e=null;if(r==null||r==="float32")e=new Float32Array(t);else if(r==="int32")e=new Int32Array(t);else if(r==="bool")e=new Uint8Array(t);else if(r==="string")e=new Array(t);else throw new Error(`Unknown data type ${r}`);return e}function Jv(r,t){for(let e=0;et+=e.length),t}function Bo(r){return typeof r=="string"||r instanceof String}function e1(r){return typeof r=="boolean"}function r1(r){return typeof r=="number"}function op(r){return Array.isArray(r)?op(r[0]):r instanceof Float32Array?"float32":r instanceof Int32Array||r instanceof Uint8Array||r instanceof Uint8ClampedArray?"int32":r1(r)?"float32":Bo(r)?"string":e1(r)?"bool":"float32"}function ri(r){return!!(r&&r.constructor&&r.call&&r.apply)}function sp(r,t){for(let e=t;e=0;--n)e[n]=e[n+1]*r[n+1];return e}function n1(r,t,e,n=!1){let o=new Array;if(t.length===1){let s=t[0]*(n?2:1);for(let i=0;iu*l)*(n?2:1);for(let u=0;uo*s)*(e?2:1);if(n===0)return[];if(n!==t.length)throw new Error(`[${r}] does not match the input size ${t.length}${e?" for a complex tensor":""}.`);return n1(0,r,t,e)}function zd(r,t){let e=ip(r,t);for(let n=0;nn*o,1);if(t==null||t==="float32")return Fu(r,new Float32Array(e));if(t==="int32")return Fu(r,new Int32Array(e));if(t==="bool")return Fu(r,new Uint8Array(e));throw new Error(`Unknown data type ${t}`)}function Bd(r){r.forEach(t=>{E(Number.isInteger(t)&&t>=0,()=>`Tensor must have a shape comprised of positive integers but got shape [${r}].`)})}function zU(r,t,e){if(t===0)return 0;if(t===1)return r[0];let n=r[r.length-1];for(let o=0;o{let[o,s]=n.split(":");this.urlFlags[o]=UU(o,s)})}};function GU(r){let t={};return r.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g,(e,...n)=>(WU(t,n[0],n[1]),n.join("="))),t}function WU(r,t,e){r[decodeURIComponent(t)]=decodeURIComponent(e||"")}function UU(r,t){if(t=t.toLowerCase(),t==="true"||t==="false")return t==="true";if(`${+t}`===t)return+t;throw new Error(`Could not parse value flag value ${t} for flag ${r}.`)}function M(){return eS}var eS=null;function s1(r){eS=r}var rS;function nS(){if(rS==null){let r;if(typeof window!="undefined")r=window;else if(typeof global!="undefined")r=global;else if(typeof process!="undefined")r=process;else if(typeof self!="undefined")r=self;else throw new Error("Could not find a global object");rS=r}return rS}function HU(){let r=nS();return r._tfGlobals==null&&(r._tfGlobals=new Map),r._tfGlobals}function Wd(r,t){let e=HU();if(e.has(r))return e.get(r);{let n=t();return e.set(r,n),e.get(r)}}var oi="Abs",ra="Acos",na="Acosh",Yn="Add",Vo="AddN",oa="All",sa="Any",Go="ArgMax",Nl="ArgMin",ia="Asin",aa="Asinh",la="Atan",ua="Atanh",ca="Atan2",Wo="AvgPool",ap="AvgPoolGrad",kl="AvgPool3D",lp="AvgPool3DGrad",Uo="BatchMatMul",si="BatchToSpaceND",up="Bincount",i1="BroadcastTo",cp="BroadcastArgs",io="Cast",Ho="Ceil",ao="ClipByValue",pp="Complex",Tl="ComplexAbs",ii="Concat",qo="Conv2D",mp="Conv2DBackpropFilter",Ko="Conv2DBackpropInput",El="Conv3D",fp="Conv3DBackpropFilterV2",dp="Conv3DBackpropInputV2",jo="Cos",Xo="Cosh",pa="Cumprod",Yo="Cumsum",ma="CropAndResize",hp="DenseBincount",fa="DepthToSpace",Zo="DepthwiseConv2dNative",gp="DepthwiseConv2dNativeBackpropFilter",xp="DepthwiseConv2dNativeBackpropInput",yp="Diag",_l="Dilation2D",Ud="Dilation2DBackpropInput",Hd="Dilation2DBackpropFilter",Jo="RealDiv",bp="Einsum",Qo="Elu",wp="EluGrad",da="Erf",ha="Equal",ts="Exp",ai="ExpandDims",ga="Expm1",Cp="FFT",Al="Fill",xa="FlipLeftRight",es="Floor",rs="FloorDiv",ns="FusedBatchNorm",li="GatherV2",ya="GatherNd",ba="Greater",os="GreaterEqual",lo="Identity",Ip="IFFT",vp="Imag",wa="IsFinite",Ca="IsInf",Ia="IsNan",ss="LeakyRelu",va="Less",Sa="LessEqual",Sp="LinSpace",is="Log",Na="Log1p",ka="LogicalAnd",Ta="LogicalNot",Ea="LogicalOr",a1="LogicalXor",l1="LogSoftmax",rlt="LowerBound",$l="LRN",Np="LRNGrad",as="Max",ls="Maximum",us="MaxPool",kp="MaxPoolGrad",Dl="MaxPool3D",Tp="MaxPool3DGrad",Ep="MaxPoolWithArgmax",cs="Mean",ps="Min",ms="Minimum",fs="MirrorPad",_a="Mod",_p="Multinomial",ds="Multiply",ui="Neg",Aa="NotEqual",$a="NonMaxSuppressionV3",Da="NonMaxSuppressionV4",Ra="NonMaxSuppressionV5",ci="OnesLike",hs="OneHot",pi="Pack",gs="PadV2",nlt="Pool",xs="Pow",ys="Prelu",bs="Prod",Ap="RaggedGather",$p="RaggedTensorToTensor",Rl="Range",Dp="Real",Fa="Reciprocal",ws="Relu",mi="Reshape",Cs="ResizeNearestNeighbor",Rp="ResizeNearestNeighborGrad",Is="ResizeBilinear",Fp="ResizeBilinearGrad",vs="Relu6",Ss="Reverse",Ns="Round",ks="Rsqrt",Oa="ScatterNd",Op="SearchSorted",fi="Select",Pa="Selu",di="Slice",Ts="Sin",La="Sinh",Ma="Sign",Es="Sigmoid",za="Softplus",_s="Sqrt",As="Sum",hi="SpaceToBatchND",gi="SplitV",$s="Softmax",Fl="SparseFillEmptyRows",Ba="SparseReshape",Ol="SparseSegmentMean",Pl="SparseSegmentSum",Pp="SparseToDense",Ds="SquaredDifference",Ll="Square",Va="StridedSlice",Ml="StringNGrams",zl="StringSplit",Bl="StringToHashBucketFast",Rs="Sub",Fs="Tan",Os="Tanh",Zn="Tile",Ga="TopK",Wa="Transform",Jn="Transpose",Lp="Unique",xi="Unpack",Vl="UnsortedSegmentSum",olt="UpperBound",yi="ZerosLike",uo="Step",qd="FromPixels",Ua="RotateWithOffset",bi="_FusedMatMul",wi="FusedConv2D",Ci="FusedDepthwiseConv2D";function Ii(...r){M().getBool("IS_TEST")||M().getBool("PROD")||console.warn(...r)}function qU(...r){M().getBool("IS_TEST")||M().getBool("PROD")||console.log(...r)}var Mp=Wd("kernelRegistry",()=>new Map),Kd=Wd("gradRegistry",()=>new Map);function jd(r,t){let e=sS(r,t);return Mp.get(e)}function oS(r){return Kd.get(r)}function Fg(r){let t=Mp.entries(),e=[];for(;;){let{done:n,value:o}=t.next();if(n)break;let[s,i]=o,[a]=s.split("_");a===r&&e.push(i)}return e}function Pu(r){let{kernelName:t,backendName:e}=r,n=sS(t,e);Mp.has(n)&&Ii(`The kernel '${t}' for backend '${e}' is already registered`),Mp.set(n,r)}function c1(r){let{kernelName:t}=r;Kd.has(t)&&M().getBool("DEBUG")&&Ii(`Overriding the gradient for '${t}'`),Kd.set(t,r)}function ult(r,t){let e=sS(r,t);if(!Mp.has(e))throw new Error(`The kernel '${r}' for backend '${t}' is not registered`);Mp.delete(e)}function clt(r){if(!Kd.has(r))throw new Error(`The gradient '${r}' for backend is not registered`);Kd.delete(r)}function plt(r,t){Fg(r).forEach(n=>{let o=Object.assign({},n,{backendName:t});Pu(o)})}function sS(r,t){return`${t}_${r}`}var y={};Gt(y,{arraysEqual:()=>An,assert:()=>E,assertNonNegativeIntegerDimensions:()=>Bd,assertNonNull:()=>Xn,assertShapesMatch:()=>$e,bytesFromStringArray:()=>tS,bytesPerElement:()=>Rg,checkConversionForErrors:()=>Jv,clamp:()=>np,computeStrides:()=>ni,createScalarValue:()=>QU,createShuffledIndices:()=>FU,decodeString:()=>Gp,distSquared:()=>AU,encodeString:()=>Wl,fetch:()=>e4,fingerPrint64:()=>JU,flatten:()=>zo,getArrayFromDType:()=>Zv,getTypedArrayFromDType:()=>Yv,hasEncodingLoss:()=>LU,hexToLong:()=>Xd,indexToLoc:()=>BU,inferDtype:()=>op,inferFromImplicitShape:()=>PU,isBoolean:()=>e1,isFunction:()=>ri,isInt:()=>ea,isNumber:()=>r1,isPromise:()=>Vd,isScalarShape:()=>$U,isString:()=>Bo,isTypedArray:()=>hr,isValidDtype:()=>Qv,locToIndex:()=>zU,makeOnesTypedArray:()=>zd,makeZerosNestedTypedArray:()=>MU,makeZerosTypedArray:()=>ip,nearestDivisor:()=>sp,nearestLargerEven:()=>TU,now:()=>Vu,parseAxisParam:()=>ar,randUniform:()=>_U,repeatedTry:()=>OU,rightPad:()=>Ou,shuffle:()=>t1,shuffleCombo:()=>kU,sizeFromShape:()=>Zt,sizeToSquarishShape:()=>RU,squeezeShape:()=>Xv,sum:()=>EU,swap:()=>Dg,tanh:()=>DU,toNestedArray:()=>Fu,toTypedArray:()=>Vp});var uS=Sl(C1());var Bu=uS.default||uS;function Xd(r){return Bu.fromString(r,!0,16)}var v1=Xd("c3a5c85c97cb3127"),zu=Xd("b492b66fbe98f273"),nn=Xd("9ae16a3b2f90404f");function lS(r){return r.xor(r.shru(47))}function S1(r,t,e){let n=r.slice(t,t+e);return Bu.fromBytes(Array.from(n),!0,!0)}function Oe(r,t){return S1(r,t,8)}function I1(r,t){return S1(r,t,4)}function kr(r,t){return t===0?r:r.shru(t).or(r.shl(64-t))}function Gl(r,t,e=Xd("9ddfea08eb382d69")){let n=r.xor(t).mul(e);n=n.xor(n.shru(47));let o=t.xor(n).mul(e);return o=o.xor(o.shru(47)),o=o.mul(e),o}function jU(r,t,e,n,o,s){o=o.add(r),s=kr(s.add(o).add(n),21);let i=o;return o=o.add(t),o=o.add(e),s=s.add(kr(o,44)),[o.add(n),s.add(i)]}function Pg(r,t,e,n){return jU(Oe(r,t),Oe(r,t+8),Oe(r,t+16),Oe(r,t+24),e,n)}function XU(r,t=r.length){if(t>=8){let e=nn.add(t*2),n=Oe(r,0).add(nn),o=Oe(r,t-8),s=kr(o,37).mul(e).add(n),i=kr(n,25).add(o).mul(e);return Gl(s,i,e)}if(t>=4){let e=nn.add(t*2),n=I1(r,0);return Gl(n.shl(3).add(t),I1(r,t-4),e)}if(t>0){let e=r[0],n=r[t>>1],o=r[t-1],s=e+(n<<8),i=t+(o<<2);return lS(nn.mul(s).xor(v1.mul(i))).mul(nn)}return nn}function YU(r,t=r.length){let e=nn.add(t*2),n=Oe(r,0).mul(zu),o=Oe(r,8),s=Oe(r,t-8).mul(e),i=Oe(r,t-16).mul(nn);return Gl(kr(n.add(o),43).add(kr(s,30)).add(i),n.add(kr(o.add(nn),18)).add(s),e)}function ZU(r,t=r.length){let e=nn.add(t*2),n=Oe(r,0).mul(nn),o=Oe(r,8),s=Oe(r,t-8).mul(e),i=Oe(r,t-16).mul(nn),a=kr(n.add(o),43).add(kr(s,30)).add(i),u=Gl(a,n.add(kr(o.add(nn),18)).add(s),e),l=Oe(r,16).mul(e),c=Oe(r,24),p=a.add(Oe(r,t-32)).mul(e),m=u.add(Oe(r,t-24)).mul(e);return Gl(kr(l.add(c),43).add(kr(p,30)).add(m),l.add(kr(c.add(n),18)).add(p),e)}function JU(r,t=r.length){let e=Bu.fromNumber(81,!0);if(t<=32)return t<=16?XU(r,t):YU(r,t);if(t<=64)return ZU(r,t);let n=e,o=e.mul(zu).add(113),s=lS(o.mul(nn).add(113)).mul(nn),i=[Bu.UZERO,Bu.UZERO],a=[Bu.UZERO,Bu.UZERO];n=n.mul(nn).add(Oe(r,0));let u=0,l=(t-1>>6)*64,c=l+(t-1&63)-63;do n=kr(n.add(o).add(i[0]).add(Oe(r,u+8)),37).mul(zu),o=kr(o.add(i[1]).add(Oe(r,u+48)),42).mul(zu),n=n.xor(a[1]),o=o.add(i[0]).add(Oe(r,u+40)),s=kr(s.add(a[0]),33).mul(zu),i=Pg(r,u,i[1].mul(zu),n.add(a[0])),a=Pg(r,u+32,s.add(a[1]),o.add(Oe(r,u+16))),[s,n]=[n,s],u+=64;while(u!==l);let p=zu.add(s.and(255).shl(1));return u=c,a[0]=a[0].add(t-1&63),i[0]=i[0].add(a[0]),a[0]=a[0].add(i[0]),n=kr(n.add(o).add(i[0]).add(Oe(r,u+8)),37).mul(p),o=kr(o.add(i[1]).add(Oe(r,u+48)),42).mul(p),n=n.xor(a[1].mul(9)),o=o.add(i[0].mul(9).add(Oe(r,u+40))),s=kr(s.add(a[0]),33).mul(p),i=Pg(r,u,i[1].mul(p),n.add(a[0])),a=Pg(r,u+32,s.add(a[1]),o.add(Oe(r,u+16))),[s,n]=[n,s],Gl(Gl(i[0],a[0],p).add(lS(o).mul(v1)).add(s),Gl(i[1],a[1],p).add(n),p)}function QU(r,t){return t==="string"?Wl(r):Vp([r],t)}function t4(r,t){return r instanceof Float32Array&&t==="float32"||r instanceof Int32Array&&t==="int32"||r instanceof Uint8Array&&t==="bool"}function Vp(r,t){if(t==="string")throw new Error("Cannot convert a string[] to a TypedArray");if(Array.isArray(r)&&(r=zo(r)),M().getBool("DEBUG")&&Jv(r,t),t4(r,t))return r;if(t==null||t==="float32"||t==="complex64")return new Float32Array(r);if(t==="int32")return new Int32Array(r);if(t==="bool"){let e=new Uint8Array(r.length);for(let n=0;n{o=n()},i,a=Vu();if(this.backendTimer.timerAvailable())i=this.backendTimer.time(s);else{s();for(let l of o)l.dataSync();i=Promise.resolve({kernelMs:Vu()-a})}if(M().getBool("CHECK_COMPUTATION_FOR_ERRORS"))for(let l=0;l{r4(p,c.dtype,t)})}return{kernelName:t,outputs:o,inputs:e,timeMs:i.then(l=>l.kernelMs),extraInfo:i.then(l=>l.getExtraProfileInfo!=null?l.getExtraProfileInfo():"")}}logKernelProfile(t){let{kernelName:e,outputs:n,timeMs:o,inputs:s,extraInfo:i}=t;n.forEach(a=>{Promise.all([a.data(),o,i]).then(u=>{this.logger.logKernelProfile(e,a,u[0],u[1],s,u[2])})})}};function r4(r,t,e){if(t!=="float32")return!1;for(let n=0;n0?h:""} `}}console.log(`%c${u} %c${a} %c${l}D ${p} %c${c} %c${m} %c${i}`,"font-weight:bold","color:red","color:blue","color: orange","color: green","color: steelblue")}};function N1(r,t,e){let n={},o={};for(let u=0;un[h.id]=!0),f=!0,o[l.id]=!0;break}if(f)break}}let s={};s[e.id]=!0;let i={};for(let u=r.length-1;u>=0;u--){let l=r[u],c=l.inputs;for(let p=0;p=0;o--){let s=t[o],i=[];if(s.outputs.forEach(u=>{let l=r[u.id];l!=null?i.push(l):i.push(null)}),s.gradient==null)throw new Error(`Cannot compute gradient: gradient function not found for ${s.kernelName}.`);let a=s.gradient(i);for(let u in s.inputs){if(!(u in a))throw new Error(`Cannot backprop through input ${u}. Available gradients found: ${Object.keys(a)}.`);let l=e(()=>a[u]());if(l.dtype!=="float32")throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input ${u} must have 'float32' dtype, but has '${l.dtype}'`);let c=s.inputs[u];if(!An(l.shape,c.shape))throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input '${u}' has shape '${l.shape}', which does not match the shape of the input '${c.shape}'`);if(r[c.id]==null)r[c.id]=l;else{let p=r[c.id];r[c.id]=n(p,l),p.dispose()}}}}var T1=20,Yd=3,pS=7;function E1(r,t,e,n){let o=ni(t),s=n4(r,t,e,o),i=t.length,a=Mg(r,t,e,o,s),u=["Tensor"];return n&&(u.push(` dtype: ${e}`),u.push(` rank: ${i}`),u.push(` shape: [${t}]`),u.push(" values:")),u.push(a.map(l=>" "+l).join(` +`));var j=l.print||q,Y=l.printErr||H;Object.assign(l,f),f=null,l.arguments&&(d=l.arguments),l.thisProgram&&(h=l.thisProgram),l.quit&&(g=l.quit);var Z=4,et=Atomics.load,rt=Atomics.store,ot=Atomics.compareExchange,at;l.wasmBinary&&(at=l.wasmBinary);var nt=l.noExitRuntime||!0;typeof WebAssembly!="object"&&Yc("no native wasm support detected");var it,dt,ht=!1,bt;function Et(L,U){L||Yc(U)}var At=typeof TextDecoder!="undefined"?new TextDecoder("utf8"):void 0;function Vt(L,U,ut){for(var xt=U+ut,Dt=U;L[Dt]&&!(Dt>=xt);)++Dt;if(Dt-U>16&&L.buffer&&At)return At.decode(L.buffer instanceof SharedArrayBuffer?L.slice(U,Dt):L.subarray(U,Dt));for(var ie="";U>10,56320|Xn&1023)}}return ie}function Zt(L,U){return L?Vt(n(),L,U):""}function ce(L,U,ut,xt){if(!(xt>0))return 0;for(var Dt=ut,ie=ut+xt-1,Gt=0;Gt=55296&&Xt<=57343){var hr=L.charCodeAt(++Gt);Xt=65536+((Xt&1023)<<10)|hr&1023}if(Xt<=127){if(ut>=ie)break;U[ut++]=Xt}else if(Xt<=2047){if(ut+1>=ie)break;U[ut++]=192|Xt>>6,U[ut++]=128|Xt&63}else if(Xt<=65535){if(ut+2>=ie)break;U[ut++]=224|Xt>>12,U[ut++]=128|Xt>>6&63,U[ut++]=128|Xt&63}else{if(ut+3>=ie)break;U[ut++]=240|Xt>>18,U[ut++]=128|Xt>>12&63,U[ut++]=128|Xt>>6&63,U[ut++]=128|Xt&63}}return U[ut]=0,ut-Dt}function he(L,U,ut){return ce(L,n(),U,ut)}var jt,ke,fe,Ae,We,_n,or,Hn,Lr;C&&(jt=l.buffer);function qe(L){jt=L,l.HEAP8=ke=new Int8Array(L),l.HEAP16=Ae=new Int16Array(L),l.HEAP32=_n=new Int32Array(L),l.HEAPU8=fe=new Uint8Array(L),l.HEAPU16=We=new Uint16Array(L),l.HEAPU32=or=new Uint32Array(L),l.HEAPF32=Hn=new Float32Array(L),l.HEAPF64=Lr=new Float64Array(L)}var Mr=l.INITIAL_MEMORY||16777216;if(C)it=l.wasmMemory,jt=l.buffer;else if(l.wasmMemory)it=l.wasmMemory;else if(it=new WebAssembly.Memory({initial:Mr/65536,maximum:32768,shared:!0}),!(it.buffer instanceof SharedArrayBuffer))throw Y("requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag"),w&&console.log("(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and also use a recent version)"),Error("bad memory");it&&(jt=it.buffer),Mr=jt.byteLength,qe(jt);var zr,qn=[],Kn=[],Xr=[],Zi=!1;function Mo(){return nt}function Il(){if(l.preRun)for(typeof l.preRun=="function"&&(l.preRun=[l.preRun]);l.preRun.length;)Rd(l.preRun.shift());Md(qn)}function Tr(){Zi=!0,!C&&Md(Kn)}function Ji(){if(!C){if(l.postRun)for(typeof l.postRun=="function"&&(l.postRun=[l.postRun]);l.postRun.length;)Gk(l.postRun.shift());Md(Xr)}}function Rd(L){qn.unshift(L)}function Fd(L){Kn.unshift(L)}function Gk(L){Xr.unshift(L)}var Sl=0,Xc=null,Qi=null;function Wk(L){Sl++,l.monitorRunDependencies&&l.monitorRunDependencies(Sl)}function Uk(L){if(Sl--,l.monitorRunDependencies&&l.monitorRunDependencies(Sl),Sl==0&&(Xc!==null&&(clearInterval(Xc),Xc=null),Qi)){var U=Qi;Qi=null,U()}}function Yc(L){C?postMessage({cmd:"onAbort",arg:L}):l.onAbort&&l.onAbort(L),L="Aborted("+L+")",Y(L),ht=!0,bt=1,L+=". Build with -sASSERTIONS for more info.";var U=new WebAssembly.RuntimeError(L);throw p(U),U}var gI="data:application/octet-stream;base64,";function pg(L){return L.startsWith(gI)}function Od(L){return L.startsWith("file://")}var en;en="tfjs-backend-wasm-threaded-simd.wasm",pg(en)||(en=_(en));function mg(L){try{if(L==en&&at)return new Uint8Array(at);if(F)return F(L);throw"both async and sync fetching of the wasm failed"}catch(U){Yc(U)}}function xI(){if(!at&&(x||b)){if(typeof fetch=="function"&&!Od(en))return fetch(en,{credentials:"same-origin"}).then(function(L){if(!L.ok)throw"failed to load wasm binary file at '"+en+"'";return L.arrayBuffer()}).catch(function(){return mg(en)});if($)return new Promise(function(L,U){$(en,function(ut){L(new Uint8Array(ut))},U)})}return Promise.resolve().then(function(){return mg(en)})}function yI(){var L={env:vg,wasi_snapshot_preview1:vg};function U(Gt,Xt){var hr=Gt.exports;if(l.asm=hr,EI(l.asm._emscripten_tls_init),zr=l.asm.__indirect_function_table,Fd(l.asm.__wasm_call_ctors),dt=Xt,!C){var Xn=Kt.unusedWorkers.length;Kt.unusedWorkers.forEach(function(ea){Kt.loadWasmModuleToWorker(ea,function(){--Xn||Uk("wasm-instantiate")})})}}C||Wk("wasm-instantiate");function ut(Gt){U(Gt.instance,Gt.module)}function xt(Gt){return xI().then(function(Xt){return WebAssembly.instantiate(Xt,L)}).then(function(Xt){return Xt}).then(Gt,function(Xt){Y("failed to asynchronously prepare wasm: "+Xt),Yc(Xt)})}function Dt(){return!at&&typeof WebAssembly.instantiateStreaming=="function"&&!pg(en)&&!Od(en)&&!w&&typeof fetch=="function"?fetch(en,{credentials:"same-origin"}).then(function(Gt){var Xt=WebAssembly.instantiateStreaming(Gt,L);return Xt.then(ut,function(hr){return Y("wasm streaming compile failed: "+hr),Y("falling back to ArrayBuffer instantiation"),xt(ut)})}):xt(ut)}if(l.instantiateWasm)try{var ie=l.instantiateWasm(L,U);return ie}catch(Gt){Y("Module.instantiateWasm callback failed with error: "+Gt),p(Gt)}return Dt().catch(p),{}}var bI,Hk,wI={};function Ru(L){this.name="ExitStatus",this.message="Program terminated with exit("+L+")",this.status=L}function CI(L){var U=Kt.pthreads[L];delete Kt.pthreads[L],U.terminate(),YS(L),Kt.runningWorkers.splice(Kt.runningWorkers.indexOf(U),1),U.pthread_ptr=0}function II(L){var U=Kt.pthreads[L];U.postMessage({cmd:"cancel"})}function Pd(L){var U=Kt.pthreads[L];Et(U),Kt.returnWorkerToPool(U)}function fg(L){var U=Kt.getNewWorker();if(!U)return 6;Kt.runningWorkers.push(U),Kt.pthreads[L.pthread_ptr]=U,U.pthread_ptr=L.pthread_ptr;var ut={cmd:"run",start_routine:L.startRoutine,arg:L.arg,pthread_ptr:L.pthread_ptr};return U.runPthread=()=>{ut.time=performance.now(),U.postMessage(ut,L.transferList)},U.loaded&&(U.runPthread(),delete U.runPthread),0}var dg={varargs:void 0,get:function(){dg.varargs+=4;var L=s()[dg.varargs-4>>2];return L},getStr:function(L){var U=Zt(L);return U}};function Ld(L){if(C)return vl(1,1,L);bt=L,Mo()||(Kt.terminateAllThreads(),l.onExit&&l.onExit(L),ht=!0),g(L,new Ru(L))}function qk(L,U){if(bt=L,!U&&C)throw gg(L),"unwind";Ld(L)}var hg=qk;function SI(L){if(L instanceof Ru||L=="unwind")return bt;g(1,L)}var Kt={unusedWorkers:[],runningWorkers:[],tlsInitFunctions:[],pthreads:{},init:function(){C?Kt.initWorker():Kt.initMainThread()},initMainThread:function(){for(var L=8;L--;)Kt.allocateUnusedWorker()},initWorker:function(){nt=!1},setExitStatus:function(L){bt=L},terminateAllThreads:function(){for(var L of Object.values(Kt.pthreads))Kt.returnWorkerToPool(L);for(var L of Kt.unusedWorkers)L.terminate();Kt.unusedWorkers=[]},returnWorkerToPool:function(L){var U=L.pthread_ptr;delete Kt.pthreads[U],Kt.unusedWorkers.push(L),Kt.runningWorkers.splice(Kt.runningWorkers.indexOf(L),1),L.pthread_ptr=0,YS(U)},receiveObjectTransfer:function(L){},threadInitTLS:function(){Kt.tlsInitFunctions.forEach(L=>L())},loadWasmModuleToWorker:function(L,U){L.onmessage=ut=>{var xt=ut.data,Dt=xt.cmd;if(L.pthread_ptr&&(Kt.currentProxiedOperationCallerThread=L.pthread_ptr),xt.targetThread&&xt.targetThread!=Ag()){var ie=Kt.pthreads[xt.targetThread];ie?ie.postMessage(xt,xt.transferList):Y('Internal error! Worker sent a message "'+Dt+'" to target pthread '+xt.targetThread+", but that thread no longer exists!"),Kt.currentProxiedOperationCallerThread=void 0;return}Dt==="processProxyingQueue"?zd(xt.queue):Dt==="spawnThread"?fg(xt):Dt==="cleanupThread"?Pd(xt.thread):Dt==="killThread"?CI(xt.thread):Dt==="cancelThread"?II(xt.thread):Dt==="loaded"?(L.loaded=!0,U&&U(L),L.runPthread&&(L.runPthread(),delete L.runPthread)):Dt==="print"?j("Thread "+xt.threadId+": "+xt.text):Dt==="printErr"?Y("Thread "+xt.threadId+": "+xt.text):Dt==="alert"?alert("Thread "+xt.threadId+": "+xt.text):xt.target==="setimmediate"?L.postMessage(xt):Dt==="onAbort"?l.onAbort&&l.onAbort(xt.arg):Dt&&Y("worker sent an unknown command "+Dt),Kt.currentProxiedOperationCallerThread=void 0},L.onerror=ut=>{var xt="worker sent an error!";throw Y(xt+" "+ut.filename+":"+ut.lineno+": "+ut.message),ut},w&&(L.on("message",function(ut){L.onmessage({data:ut})}),L.on("error",function(ut){L.onerror(ut)}),L.on("detachedExit",function(){})),L.postMessage({cmd:"load",urlOrBlob:l.mainScriptUrlOrBlob||r,wasmMemory:it,wasmModule:dt})},allocateUnusedWorker:function(){var L=_("tfjs-backend-wasm-threaded-simd.worker.js");Kt.unusedWorkers.push(new Worker(L))},getNewWorker:function(){return Kt.unusedWorkers.length==0&&(Kt.allocateUnusedWorker(),Kt.loadWasmModuleToWorker(Kt.unusedWorkers[0])),Kt.unusedWorkers.pop()}};l.PThread=Kt;function Md(L){for(;L.length>0;)L.shift()(l)}function vI(L){var U=ZS(),ut=L();return $g(U),ut}function Kk(L){return L}function jk(L){var U=/\b_Z[\w\d_]+/g;return L.replace(U,function(ut){var xt=ut;return ut===xt?ut:xt+" ["+ut+"]"})}function NI(){var L=Ag(),U=s()[L+44>>2],ut=s()[L+48>>2],xt=U-ut;e1(U,xt),$g(U)}l.establishStackSpace=NI;function gg(L){if(C)return vl(2,0,L);try{hg(L)}catch(U){SI(U)}}var Zc=[];function TI(L){var U=Zc[L];return U||(L>=Zc.length&&(Zc.length=L+1),Zc[L]=U=zr.get(L)),U}function kI(L,U){var ut=TI(L)(U);Mo()?Kt.setExitStatus(ut):t1(ut)}l.invokeEntryPoint=kI;function Xk(){var L=new Error;if(!L.stack){try{throw new Error}catch(U){L=U}if(!L.stack)return"(no stack trace available)"}return L.stack.toString()}function EI(L){Kt.tlsInitFunctions.push(L)}function _I(L,U){e().set(L,U)}function AI(L){Zk(L,!b,1,!x),Kt.threadInitTLS()}function $I(L){C?postMessage({cmd:"cleanupThread",thread:L}):Pd(L)}function xg(L,U,ut,xt){return C?vl(3,1,L,U,ut,xt):yg(L,U,ut,xt)}function yg(L,U,ut,xt){if(typeof SharedArrayBuffer=="undefined")return Y("Current environment does not support SharedArrayBuffer, pthreads are not available!"),6;var Dt=[],ie=0;if(C&&(Dt.length===0||ie))return xg(L,U,ut,xt);if(ie)return ie;var Gt={startRoutine:ut,pthread_ptr:L,arg:xt,transferList:Dt};return C?(Gt.cmd="spawnThread",postMessage(Gt,Dt),0):fg(Gt)}function DI(){return 2097152}var RI=!0;function FI(){return RI}function zd(L){Atomics.store(s(),L>>2,1),Ag()&&Qk(L),Atomics.compareExchange(s(),L>>2,1,0)}l.executeNotifiedProxyingQueue=zd;function OI(L,U,ut,xt){if(L==U)setTimeout(()=>zd(xt));else if(C)postMessage({targetThread:L,cmd:"processProxyingQueue",queue:xt});else{var Dt=Kt.pthreads[L];if(!Dt)return;Dt.postMessage({cmd:"processProxyingQueue",queue:xt})}return 1}function PI(L,U,ut){return-1}function LI(){Yc("")}function Fu(L){Fu.shown||(Fu.shown={}),Fu.shown[L]||(Fu.shown[L]=1,w&&(L="warning: "+L),Y(L))}function MI(){w||b||Fu("Blocking on the main thread is very dangerous, see https://emscripten.org/docs/porting/pthreads.html#blocking-on-the-main-browser-thread")}function zI(){return Date.now()}function bg(){return 2147483648}function BI(){return bg()}var Jc;w?Jc=()=>{var L=process.hrtime();return L[0]*1e3+L[1]/1e6}:C?Jc=()=>performance.now()-l.__performance_now_clock_drift:Jc=()=>performance.now();function VI(L,U,ut){n().copyWithin(L,U,U+ut)}function GI(){return w?GW().cpus().length:navigator.hardwareConcurrency}function vl(L,U){var ut=arguments.length-2,xt=arguments;return vI(()=>{for(var Dt=ut,ie=Dg(Dt*8),Gt=ie>>3,Xt=0;Xt>3,Dt=0;Dt>>16),qe(it.buffer),1}catch(U){}}function HI(L){var U=n().length;if(L=L>>>0,L<=U)return!1;var ut=bg();if(L>ut)return!1;let xt=(hr,Xn)=>hr+(Xn-hr%Xn)%Xn;for(var Dt=1;Dt<=4;Dt*=2){var ie=U*(1+.2/Dt);ie=Math.min(ie,L+100663296);var Gt=Math.min(ut,xt(Math.max(L,ie),65536)),Xt=UI(Gt);if(Xt)return!0}return!1}function qI(){throw"unwind"}function wg(L){return C?vl(4,1,L):52}function Cg(L,U,ut,xt,Dt){return C?vl(5,1,L,U,ut,xt,Dt):70}var KI=[null,[],[]];function jI(L,U){var ut=KI[L];U===0||U===10?((L===1?j:Y)(Vt(ut,0)),ut.length=0):ut.push(U)}function Ig(L,U,ut,xt){if(C)return vl(6,1,L,U,ut,xt);for(var Dt=0,ie=0;ie>2],Xt=i()[U+4>>2];U+=8;for(var hr=0;hr>2]=Dt,0}function Sg(L){var U=l["_"+L];return U}function XI(L,U,ut,xt,Dt){var ie={string:An=>{var rp=0;if(An!=null&&An!==0){var o1=(An.length<<2)+1;rp=Dg(o1),he(An,rp,o1)}return rp},array:An=>{var rp=Dg(An.length);return _I(An,rp),rp}};function Gt(An){return U==="string"?Zt(An):U==="boolean"?Boolean(An):An}var Xt=Sg(L),hr=[],Xn=0;if(xt)for(var ea=0;eaGt==="number"||Gt==="boolean"),ie=U!=="string";return ie&&Dt&&!xt?Sg(L):function(){return XI(L,U,ut,arguments,xt)}}Kt.init();var ZI=[null,Ld,gg,xg,wg,Cg,Ig],vg={__emscripten_init_main_thread_js:AI,__emscripten_thread_cleanup:$I,__pthread_create_js:yg,_emscripten_default_pthread_stack_size:DI,_emscripten_get_now_is_monotonic:FI,_emscripten_notify_task_queue:OI,_emscripten_set_offscreencanvas_size:PI,abort:LI,emscripten_check_blocking_allowed:MI,emscripten_date_now:zI,emscripten_get_heap_max:BI,emscripten_get_now:Jc,emscripten_memcpy_big:VI,emscripten_num_logical_cores:GI,emscripten_receive_on_main_thread_js:WI,emscripten_resize_heap:HI,emscripten_unwind_to_js_event_loop:qI,exit:hg,fd_close:wg,fd_seek:Cg,fd_write:Ig,memory:it||l.wasmMemory},Yk=yI(),JI=l.___wasm_call_ctors=function(){return(JI=l.___wasm_call_ctors=l.asm.__wasm_call_ctors).apply(null,arguments)},QI=l._init=function(){return(QI=l._init=l.asm.init).apply(null,arguments)},tS=l._init_with_threads_count=function(){return(tS=l._init_with_threads_count=l.asm.init_with_threads_count).apply(null,arguments)},eS=l._get_threads_count=function(){return(eS=l._get_threads_count=l.asm.get_threads_count).apply(null,arguments)},rS=l._register_tensor=function(){return(rS=l._register_tensor=l.asm.register_tensor).apply(null,arguments)},nS=l._dispose_data=function(){return(nS=l._dispose_data=l.asm.dispose_data).apply(null,arguments)},oS=l._dispose=function(){return(oS=l._dispose=l.asm.dispose).apply(null,arguments)},sS=l._Abs=function(){return(sS=l._Abs=l.asm.Abs).apply(null,arguments)},iS=l._Add=function(){return(iS=l._Add=l.asm.Add).apply(null,arguments)},aS=l._AddN=function(){return(aS=l._AddN=l.asm.AddN).apply(null,arguments)},lS=l._All=function(){return(lS=l._All=l.asm.All).apply(null,arguments)},uS=l._Any=function(){return(uS=l._Any=l.asm.Any).apply(null,arguments)},cS=l._ArgMax=function(){return(cS=l._ArgMax=l.asm.ArgMax).apply(null,arguments)},pS=l._AvgPool=function(){return(pS=l._AvgPool=l.asm.AvgPool).apply(null,arguments)},mS=l._BatchMatMul=function(){return(mS=l._BatchMatMul=l.asm.BatchMatMul).apply(null,arguments)},fS=l._Ceil=function(){return(fS=l._Ceil=l.asm.Ceil).apply(null,arguments)},dS=l._ClipByValue=function(){return(dS=l._ClipByValue=l.asm.ClipByValue).apply(null,arguments)},hS=l._Conv2D=function(){return(hS=l._Conv2D=l.asm.Conv2D).apply(null,arguments)},gS=l._Conv2DBackpropInput=function(){return(gS=l._Conv2DBackpropInput=l.asm.Conv2DBackpropInput).apply(null,arguments)},xS=l._Cos=function(){return(xS=l._Cos=l.asm.Cos).apply(null,arguments)},yS=l._Cosh=function(){return(yS=l._Cosh=l.asm.Cosh).apply(null,arguments)},bS=l._CropAndResize=function(){return(bS=l._CropAndResize=l.asm.CropAndResize).apply(null,arguments)},wS=l._Cumprod=function(){return(wS=l._Cumprod=l.asm.Cumprod).apply(null,arguments)},CS=l._Cumsum=function(){return(CS=l._Cumsum=l.asm.Cumsum).apply(null,arguments)},IS=l._DepthToSpace=function(){return(IS=l._DepthToSpace=l.asm.DepthToSpace).apply(null,arguments)},SS=l._DepthwiseConv2dNative=function(){return(SS=l._DepthwiseConv2dNative=l.asm.DepthwiseConv2dNative).apply(null,arguments)},vS=l._Elu=function(){return(vS=l._Elu=l.asm.Elu).apply(null,arguments)},NS=l._Equal=function(){return(NS=l._Equal=l.asm.Equal).apply(null,arguments)},TS=l._Exp=function(){return(TS=l._Exp=l.asm.Exp).apply(null,arguments)},kS=l._FlipLeftRight=function(){return(kS=l._FlipLeftRight=l.asm.FlipLeftRight).apply(null,arguments)},ES=l._Floor=function(){return(ES=l._Floor=l.asm.Floor).apply(null,arguments)},_S=l._FloorDiv=function(){return(_S=l._FloorDiv=l.asm.FloorDiv).apply(null,arguments)},AS=l._FusedBatchNorm=function(){return(AS=l._FusedBatchNorm=l.asm.FusedBatchNorm).apply(null,arguments)},$S=l._FusedConv2D=function(){return($S=l._FusedConv2D=l.asm.FusedConv2D).apply(null,arguments)},DS=l._FusedDepthwiseConv2D=function(){return(DS=l._FusedDepthwiseConv2D=l.asm.FusedDepthwiseConv2D).apply(null,arguments)},RS=l._Gather=function(){return(RS=l._Gather=l.asm.Gather).apply(null,arguments)},FS=l._GatherNd=function(){return(FS=l._GatherNd=l.asm.GatherNd).apply(null,arguments)},OS=l._Greater=function(){return(OS=l._Greater=l.asm.Greater).apply(null,arguments)},PS=l._GreaterEqual=function(){return(PS=l._GreaterEqual=l.asm.GreaterEqual).apply(null,arguments)},LS=l._LeakyRelu=function(){return(LS=l._LeakyRelu=l.asm.LeakyRelu).apply(null,arguments)},MS=l._Less=function(){return(MS=l._Less=l.asm.Less).apply(null,arguments)},zS=l._LessEqual=function(){return(zS=l._LessEqual=l.asm.LessEqual).apply(null,arguments)},BS=l._Log=function(){return(BS=l._Log=l.asm.Log).apply(null,arguments)},VS=l._LogicalAnd=function(){return(VS=l._LogicalAnd=l.asm.LogicalAnd).apply(null,arguments)},GS=l._LogicalNot=function(){return(GS=l._LogicalNot=l.asm.LogicalNot).apply(null,arguments)},WS=l._LogicalOr=function(){return(WS=l._LogicalOr=l.asm.LogicalOr).apply(null,arguments)},US=l._LogicalXor=function(){return(US=l._LogicalXor=l.asm.LogicalXor).apply(null,arguments)},HS=l._Max=function(){return(HS=l._Max=l.asm.Max).apply(null,arguments)},Ng=l._MaxPool=function(){return(Ng=l._MaxPool=l.asm.MaxPool).apply(null,arguments)},Tg=l._Maximum=function(){return(Tg=l._Maximum=l.asm.Maximum).apply(null,arguments)},Vd=l._Mean=function(){return(Vd=l._Mean=l.asm.Mean).apply(null,arguments)},qS=l._Min=function(){return(qS=l._Min=l.asm.Min).apply(null,arguments)},KS=l._Minimum=function(){return(KS=l._Minimum=l.asm.Minimum).apply(null,arguments)},Qc=l._MirrorPad=function(){return(Qc=l._MirrorPad=l.asm.MirrorPad).apply(null,arguments)},kg=l._Multiply=function(){return(kg=l._Multiply=l.asm.Multiply).apply(null,arguments)},tp=l._Neg=function(){return(tp=l._Neg=l.asm.Neg).apply(null,arguments)},ep=l._NonMaxSuppressionV3=function(){return(ep=l._NonMaxSuppressionV3=l.asm.NonMaxSuppressionV3).apply(null,arguments)},jS=l._NonMaxSuppressionV4=function(){return(jS=l._NonMaxSuppressionV4=l.asm.NonMaxSuppressionV4).apply(null,arguments)},K=l._NonMaxSuppressionV5=function(){return(K=l._NonMaxSuppressionV5=l.asm.NonMaxSuppressionV5).apply(null,arguments)},lt=l._NotEqual=function(){return(lt=l._NotEqual=l.asm.NotEqual).apply(null,arguments)},_t=l._OneHot=function(){return(_t=l._OneHot=l.asm.OneHot).apply(null,arguments)},re=l._PadV2=function(){return(re=l._PadV2=l.asm.PadV2).apply(null,arguments)},Ke=l._Pow=function(){return(Ke=l._Pow=l.asm.Pow).apply(null,arguments)},je=l._Prelu=function(){return(je=l._Prelu=l.asm.Prelu).apply(null,arguments)},ee=l._Prod=function(){return(ee=l._Prod=l.asm.Prod).apply(null,arguments)},te=l._RealDiv=function(){return(te=l._RealDiv=l.asm.RealDiv).apply(null,arguments)},dr=l._Relu=function(){return(dr=l._Relu=l.asm.Relu).apply(null,arguments)},jn=l._Relu6=function(){return(jn=l._Relu6=l.asm.Relu6).apply(null,arguments)},ta=l._ResizeBilinear=function(){return(ta=l._ResizeBilinear=l.asm.ResizeBilinear).apply(null,arguments)},Eg=l._ResizeNearestNeighbor=function(){return(Eg=l._ResizeNearestNeighbor=l.asm.ResizeNearestNeighbor).apply(null,arguments)},Gd=l._Reverse=function(){return(Gd=l._Reverse=l.asm.Reverse).apply(null,arguments)},XS=l._RotateWithOffset=function(){return(XS=l._RotateWithOffset=l.asm.RotateWithOffset).apply(null,arguments)},rn=l._Round=function(){return(rn=l._Round=l.asm.Round).apply(null,arguments)},Nl=l._Rsqrt=function(){return(Nl=l._Rsqrt=l.asm.Rsqrt).apply(null,arguments)},_g=l._ScatterNd=function(){return(_g=l._ScatterNd=l.asm.ScatterNd).apply(null,arguments)},JW=l._SelectV2=function(){return(JW=l._SelectV2=l.asm.SelectV2).apply(null,arguments)},QW=l._Sigmoid=function(){return(QW=l._Sigmoid=l.asm.Sigmoid).apply(null,arguments)},tU=l._Sin=function(){return(tU=l._Sin=l.asm.Sin).apply(null,arguments)},eU=l._Softmax=function(){return(eU=l._Softmax=l.asm.Softmax).apply(null,arguments)},rU=l._SparseFillEmptyRows=function(){return(rU=l._SparseFillEmptyRows=l.asm.SparseFillEmptyRows).apply(null,arguments)},nU=l._SparseReshape=function(){return(nU=l._SparseReshape=l.asm.SparseReshape).apply(null,arguments)},oU=l._SparseSegmentReduction=function(){return(oU=l._SparseSegmentReduction=l.asm.SparseSegmentReduction).apply(null,arguments)},sU=l._Sqrt=function(){return(sU=l._Sqrt=l.asm.Sqrt).apply(null,arguments)},iU=l._Square=function(){return(iU=l._Square=l.asm.Square).apply(null,arguments)},aU=l._SquaredDifference=function(){return(aU=l._SquaredDifference=l.asm.SquaredDifference).apply(null,arguments)},lU=l._Step=function(){return(lU=l._Step=l.asm.Step).apply(null,arguments)},uU=l._StridedSlice=function(){return(uU=l._StridedSlice=l.asm.StridedSlice).apply(null,arguments)},cU=l._Sub=function(){return(cU=l._Sub=l.asm.Sub).apply(null,arguments)},pU=l._Sum=function(){return(pU=l._Sum=l.asm.Sum).apply(null,arguments)},mU=l._Tan=function(){return(mU=l._Tan=l.asm.Tan).apply(null,arguments)},fU=l._Tanh=function(){return(fU=l._Tanh=l.asm.Tanh).apply(null,arguments)},dU=l._Tile=function(){return(dU=l._Tile=l.asm.Tile).apply(null,arguments)},hU=l._TopK=function(){return(hU=l._TopK=l.asm.TopK).apply(null,arguments)},gU=l._Transform=function(){return(gU=l._Transform=l.asm.Transform).apply(null,arguments)},xU=l._Transpose=function(){return(xU=l._Transpose=l.asm.Transpose).apply(null,arguments)},yU=l.__FusedMatMul=function(){return(yU=l.__FusedMatMul=l.asm._FusedMatMul).apply(null,arguments)},bU=l._malloc=function(){return(bU=l._malloc=l.asm.malloc).apply(null,arguments)},wU=l._free=function(){return(wU=l._free=l.asm.free).apply(null,arguments)},CU=l.__emscripten_tls_init=function(){return(CU=l.__emscripten_tls_init=l.asm._emscripten_tls_init).apply(null,arguments)},Ag=l._pthread_self=function(){return(Ag=l._pthread_self=l.asm.pthread_self).apply(null,arguments)},IU=l.___errno_location=function(){return(IU=l.___errno_location=l.asm.__errno_location).apply(null,arguments)},Zk=l.__emscripten_thread_init=function(){return(Zk=l.__emscripten_thread_init=l.asm._emscripten_thread_init).apply(null,arguments)},SU=l.__emscripten_thread_crashed=function(){return(SU=l.__emscripten_thread_crashed=l.asm._emscripten_thread_crashed).apply(null,arguments)},vU=l._emscripten_main_thread_process_queued_calls=function(){return(vU=l._emscripten_main_thread_process_queued_calls=l.asm.emscripten_main_thread_process_queued_calls).apply(null,arguments)},NU=l._emscripten_main_browser_thread_id=function(){return(NU=l._emscripten_main_browser_thread_id=l.asm.emscripten_main_browser_thread_id).apply(null,arguments)},Jk=l._emscripten_run_in_main_runtime_thread_js=function(){return(Jk=l._emscripten_run_in_main_runtime_thread_js=l.asm.emscripten_run_in_main_runtime_thread_js).apply(null,arguments)},TU=l._emscripten_dispatch_to_thread_=function(){return(TU=l._emscripten_dispatch_to_thread_=l.asm.emscripten_dispatch_to_thread_).apply(null,arguments)},Qk=l.__emscripten_proxy_execute_task_queue=function(){return(Qk=l.__emscripten_proxy_execute_task_queue=l.asm._emscripten_proxy_execute_task_queue).apply(null,arguments)},YS=l.__emscripten_thread_free_data=function(){return(YS=l.__emscripten_thread_free_data=l.asm._emscripten_thread_free_data).apply(null,arguments)},t1=l.__emscripten_thread_exit=function(){return(t1=l.__emscripten_thread_exit=l.asm._emscripten_thread_exit).apply(null,arguments)},e1=l._emscripten_stack_set_limits=function(){return(e1=l._emscripten_stack_set_limits=l.asm.emscripten_stack_set_limits).apply(null,arguments)},ZS=l.stackSave=function(){return(ZS=l.stackSave=l.asm.stackSave).apply(null,arguments)},$g=l.stackRestore=function(){return($g=l.stackRestore=l.asm.stackRestore).apply(null,arguments)},Dg=l.stackAlloc=function(){return(Dg=l.stackAlloc=l.asm.stackAlloc).apply(null,arguments)},kU=l.dynCall_iijjiiii=function(){return(kU=l.dynCall_iijjiiii=l.asm.dynCall_iijjiiii).apply(null,arguments)},EU=l.dynCall_jiji=function(){return(EU=l.dynCall_jiji=l.asm.dynCall_jiji).apply(null,arguments)};l.keepRuntimeAlive=Mo,l.wasmMemory=it,l.cwrap=YI,l.ExitStatus=Ru,l.PThread=Kt;var Rg;Qi=function L(){Rg||r1(),Rg||(Qi=L)};function r1(L){if(L=L||d,Sl>0)return;if(C){c(l),Tr(),postMessage({cmd:"loaded"});return}if(Il(),Sl>0)return;function U(){Rg||(Rg=!0,l.calledRun=!0,!ht&&(Tr(),c(l),l.onRuntimeInitialized&&l.onRuntimeInitialized(),Ji()))}l.setStatus?(l.setStatus("Running..."),setTimeout(function(){setTimeout(function(){l.setStatus("")},1),U()},1)):U()}if(l.preInit)for(typeof l.preInit=="function"&&(l.preInit=[l.preInit]);l.preInit.length>0;)l.preInit.pop()();r1();var Fg;m&&(Fg={uncaughtException:process.listeners("uncaughtException").filter(function(L){return!m.uncaughtException.indexOf(L)>-1}),unhandledRejection:process.listeners("unhandledRejection").filter(function(L){return!m.unhandledRejection.indexOf(L)>-1})});var Og;if(typeof WasmBackendModule!="undefined")Og=WasmBackendModule;else if(typeof t!="undefined")Og=t;else throw new Error("Could not find wasm module in post.js");if(Fg){var _U=Og._dispose;Og._dispose=function(){_U(),Fg.uncaughtException.forEach(function(L){process.removeListener("uncaughtException",L)}),Fg.unhandledRejection.forEach(function(L){process.removeListener("unhandledRejection",L)})}}return t.ready}})();typeof fI=="object"&&typeof Ok=="object"?Ok.exports=Fk:typeof define=="function"&&define.amd?define([],function(){return Fk}):typeof fI=="object"&&(fI.WasmBackendModuleThreadedSimd=Fk)});var HW=gr((H5e,UW)=>{UW.exports.wasmWorkerContents=`"use strict";var Module={};var ENVIRONMENT_IS_NODE=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string";if(ENVIRONMENT_IS_NODE){var nodeWorkerThreads=require("worker_threads");var parentPort=nodeWorkerThreads.parentPort;parentPort.on("message",data=>onmessage({data:data}));var fs=require("fs");Object.assign(global,{self:global,require:require,Module:Module,location:{href:__filename},Worker:nodeWorkerThreads.Worker,importScripts:function(f){(0,eval)(fs.readFileSync(f,"utf8"))},postMessage:function(msg){parentPort.postMessage(msg)},performance:global.performance||{now:function(){return Date.now()}}})}var initializedJS=false;var pendingNotifiedProxyingQueues=[];function threadPrintErr(){var text=Array.prototype.slice.call(arguments).join(" ");if(ENVIRONMENT_IS_NODE){fs.writeSync(2,text+" +");return}console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(" ");postMessage({cmd:"alert",text:text,threadId:Module["_pthread_self"]()})}var err=threadPrintErr;self.alert=threadAlert;Module["instantiateWasm"]=(info,receiveInstance)=>{var instance=new WebAssembly.Instance(Module["wasmModule"],info);receiveInstance(instance);Module["wasmModule"]=null;return instance.exports};self.onunhandledrejection=e=>{throw e.reason??e};self.onmessage=e=>{try{if(e.data.cmd==="load"){Module["wasmModule"]=e.data.wasmModule;Module["wasmMemory"]=e.data.wasmMemory;Module["buffer"]=Module["wasmMemory"].buffer;Module["ENVIRONMENT_IS_PTHREAD"]=true;if(typeof e.data.urlOrBlob=="string"){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}WasmBackendModuleThreadedSimd(Module).then(function(instance){Module=instance})}else if(e.data.cmd==="run"){Module["__performance_now_clock_drift"]=performance.now()-e.data.time;Module["__emscripten_thread_init"](e.data.pthread_ptr,0,0,1);Module["establishStackSpace"]();Module["PThread"].receiveObjectTransfer(e.data);Module["PThread"].threadInitTLS();if(!initializedJS){pendingNotifiedProxyingQueues.forEach(queue=>{Module["executeNotifiedProxyingQueue"](queue)});pendingNotifiedProxyingQueues=[];initializedJS=true}try{Module["invokeEntryPoint"](e.data.start_routine,e.data.arg)}catch(ex){if(ex!="unwind"){if(ex instanceof Module["ExitStatus"]){if(Module["keepRuntimeAlive"]()){}else{Module["__emscripten_thread_exit"](ex.status)}}else{throw ex}}}}else if(e.data.cmd==="cancel"){if(Module["_pthread_self"]()){Module["__emscripten_thread_exit"](-1)}}else if(e.data.target==="setimmediate"){}else if(e.data.cmd==="processProxyingQueue"){if(initializedJS){Module["executeNotifiedProxyingQueue"](e.data.queue)}else{pendingNotifiedProxyingQueues.push(e.data.queue)}}else if(e.data.cmd){err("worker.js received unknown command "+e.data.cmd);err(e.data)}}catch(ex){if(Module["__emscripten_thread_crashed"]){Module["__emscripten_thread_crashed"]()}throw ex}};`});var qW=gr((dI,Lk)=>{var Pk=(()=>{var r=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(r=r||__filename),function(t){t=t||{};var e=typeof t!="undefined"?t:{},n,o;e.ready=new Promise(function(K,lt){n=K,o=lt});var s;typeof process!="undefined"&&process.listeners&&(s={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var i=Object.assign({},e),a=[],u="./this.program",l=(K,lt)=>{throw lt},c=typeof window=="object",p=typeof importScripts=="function",m=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",f="";function d(K){return e.locateFile?e.locateFile(K,f):f+K}var h,g,x,b;function w(K){if(K instanceof Xc)return;A("exiting due to exception: "+K)}if(m){p?f=ig().dirname(f)+"/":f=__dirname+"/";var C,N;typeof Pg=="function"&&(C=Zb(),N=ig()),h=(K,lt)=>(K=N.normalize(K),C.readFileSync(K,lt?void 0:"utf8")),x=K=>{var lt=h(K,!0);return lt.buffer||(lt=new Uint8Array(lt)),lt},g=(K,lt,_t)=>{K=N.normalize(K),C.readFile(K,function(re,Ke){re?_t(re):lt(Ke.buffer)})},process.argv.length>1&&(u=process.argv[1].replace(/\\/g,"/")),a=process.argv.slice(2),process.on("uncaughtException",function(K){if(!(K instanceof Xc))throw K}),process.on("unhandledRejection",function(K){throw K}),l=(K,lt)=>{if(fe())throw process.exitCode=K,lt;w(lt),process.exit(K)},e.inspect=function(){return"[Emscripten Module object]"}}else(c||p)&&(p?f=self.location.href:typeof document!="undefined"&&document.currentScript&&(f=document.currentScript.src),r&&(f=r),f.indexOf("blob:")!==0?f=f.substr(0,f.replace(/[?#].*/,"").lastIndexOf("/")+1):f="",h=K=>{var lt=new XMLHttpRequest;return lt.open("GET",K,!1),lt.send(null),lt.responseText},p&&(x=K=>{var lt=new XMLHttpRequest;return lt.open("GET",K,!1),lt.responseType="arraybuffer",lt.send(null),new Uint8Array(lt.response)}),g=(K,lt,_t)=>{var re=new XMLHttpRequest;re.open("GET",K,!0),re.responseType="arraybuffer",re.onload=()=>{if(re.status==200||re.status==0&&re.response){lt(re.response);return}_t()},re.onerror=_t,re.send(null)},b=K=>document.title=K);var _=e.print||console.log.bind(console),A=e.printErr||console.warn.bind(console);Object.assign(e,i),i=null,e.arguments&&(a=e.arguments),e.thisProgram&&(u=e.thisProgram),e.quit&&(l=e.quit);var $=4,F;e.wasmBinary&&(F=e.wasmBinary);var P=e.noExitRuntime||!0;typeof WebAssembly!="object"&&Xr("no native wasm support detected");var V,G=!1,W;function q(K,lt){K||Xr(lt)}var H=typeof TextDecoder!="undefined"?new TextDecoder("utf8"):void 0;function j(K,lt,_t){for(var re=lt+_t,Ke=lt;K[Ke]&&!(Ke>=re);)++Ke;if(Ke-lt>16&&K.buffer&&H)return H.decode(K.subarray(lt,Ke));for(var je="";lt>10,56320|jn&1023)}}return je}function Y(K,lt){return K?j(at,K,lt):""}function Z(K,lt,_t,re){if(!(re>0))return 0;for(var Ke=_t,je=_t+re-1,ee=0;ee=55296&&te<=57343){var dr=K.charCodeAt(++ee);te=65536+((te&1023)<<10)|dr&1023}if(te<=127){if(_t>=je)break;lt[_t++]=te}else if(te<=2047){if(_t+1>=je)break;lt[_t++]=192|te>>6,lt[_t++]=128|te&63}else if(te<=65535){if(_t+2>=je)break;lt[_t++]=224|te>>12,lt[_t++]=128|te>>6&63,lt[_t++]=128|te&63}else{if(_t+3>=je)break;lt[_t++]=240|te>>18,lt[_t++]=128|te>>12&63,lt[_t++]=128|te>>6&63,lt[_t++]=128|te&63}}return lt[_t]=0,_t-Ke}function et(K,lt,_t){return Z(K,at,lt,_t)}var rt,ot,at,nt,it,dt,ht,bt,Et;function At(K){rt=K,e.HEAP8=ot=new Int8Array(K),e.HEAP16=nt=new Int16Array(K),e.HEAP32=dt=new Int32Array(K),e.HEAPU8=at=new Uint8Array(K),e.HEAPU16=it=new Uint16Array(K),e.HEAPU32=ht=new Uint32Array(K),e.HEAPF32=bt=new Float32Array(K),e.HEAPF64=Et=new Float64Array(K)}var Vt=e.INITIAL_MEMORY||16777216,Zt,ce=[],he=[],jt=[],ke=!1;function fe(){return P}function Ae(){if(e.preRun)for(typeof e.preRun=="function"&&(e.preRun=[e.preRun]);e.preRun.length;)or(e.preRun.shift());Qi(ce)}function We(){ke=!0,Qi(he)}function _n(){if(e.postRun)for(typeof e.postRun=="function"&&(e.postRun=[e.postRun]);e.postRun.length;)Lr(e.postRun.shift());Qi(jt)}function or(K){ce.unshift(K)}function Hn(K){he.unshift(K)}function Lr(K){jt.unshift(K)}var qe=0,Mr=null,zr=null;function qn(K){qe++,e.monitorRunDependencies&&e.monitorRunDependencies(qe)}function Kn(K){if(qe--,e.monitorRunDependencies&&e.monitorRunDependencies(qe),qe==0&&(Mr!==null&&(clearInterval(Mr),Mr=null),zr)){var lt=zr;zr=null,lt()}}function Xr(K){e.onAbort&&e.onAbort(K),K="Aborted("+K+")",A(K),G=!0,W=1,K+=". Build with -sASSERTIONS for more info.";var lt=new WebAssembly.RuntimeError(K);throw o(lt),lt}var Zi="data:application/octet-stream;base64,";function Mo(K){return K.startsWith(Zi)}function Il(K){return K.startsWith("file://")}var Tr;Tr="tfjs-backend-wasm.wasm",Mo(Tr)||(Tr=d(Tr));function Ji(K){try{if(K==Tr&&F)return new Uint8Array(F);if(x)return x(K);throw"both async and sync fetching of the wasm failed"}catch(lt){Xr(lt)}}function Rd(){if(!F&&(c||p)){if(typeof fetch=="function"&&!Il(Tr))return fetch(Tr,{credentials:"same-origin"}).then(function(K){if(!K.ok)throw"failed to load wasm binary file at '"+Tr+"'";return K.arrayBuffer()}).catch(function(){return Ji(Tr)});if(g)return new Promise(function(K,lt){g(Tr,function(_t){K(new Uint8Array(_t))},lt)})}return Promise.resolve().then(function(){return Ji(Tr)})}function Fd(){var K={env:Ld,wasi_snapshot_preview1:Ld};function lt(ee,te){var dr=ee.exports;e.asm=dr,V=e.asm.memory,At(V.buffer),Zt=e.asm.__indirect_function_table,Hn(e.asm.__wasm_call_ctors),Kn("wasm-instantiate")}qn("wasm-instantiate");function _t(ee){lt(ee.instance)}function re(ee){return Rd().then(function(te){return WebAssembly.instantiate(te,K)}).then(function(te){return te}).then(ee,function(te){A("failed to asynchronously prepare wasm: "+te),Xr(te)})}function Ke(){return!F&&typeof WebAssembly.instantiateStreaming=="function"&&!Mo(Tr)&&!Il(Tr)&&!m&&typeof fetch=="function"?fetch(Tr,{credentials:"same-origin"}).then(function(ee){var te=WebAssembly.instantiateStreaming(ee,K);return te.then(_t,function(dr){return A("wasm streaming compile failed: "+dr),A("falling back to ArrayBuffer instantiation"),re(_t)})}):re(_t)}if(e.instantiateWasm)try{var je=e.instantiateWasm(K,lt);return je}catch(ee){A("Module.instantiateWasm callback failed with error: "+ee),o(ee)}return Ke().catch(o),{}}var Gk,Sl;function Xc(K){this.name="ExitStatus",this.message="Program terminated with exit("+K+")",this.status=K}function Qi(K){for(;K.length>0;)K.shift()(e)}function Wk(K){return K}function Uk(K){var lt=/\b_Z[\w\d_]+/g;return K.replace(lt,function(_t){var re=_t;return _t===re?_t:re+" ["+_t+"]"})}function Yc(){var K=new Error;if(!K.stack){try{throw new Error}catch(lt){K=lt}if(!K.stack)return"(no stack trace available)"}return K.stack.toString()}function gI(K,lt){ot.set(K,lt)}function pg(){Xr("")}function Od(){return 2147483648}function en(){return Od()}function mg(K,lt,_t){at.copyWithin(K,lt,lt+_t)}function xI(K){try{return V.grow(K-rt.byteLength+65535>>>16),At(V.buffer),1}catch(lt){}}function yI(K){var lt=at.length;K=K>>>0;var _t=Od();if(K>_t)return!1;let re=(dr,jn)=>dr+(jn-dr%jn)%jn;for(var Ke=1;Ke<=4;Ke*=2){var je=lt*(1+.2/Ke);je=Math.min(je,K+100663296);var ee=Math.min(_t,re(Math.max(K,je),65536)),te=xI(ee);if(te)return!0}return!1}var bI={varargs:void 0,get:function(){bI.varargs+=4;var K=dt[bI.varargs-4>>2];return K},getStr:function(K){var lt=Y(K);return lt}};function Hk(K){return 52}function wI(K,lt,_t,re,Ke){return 70}var Ru=[null,[],[]];function CI(K,lt){var _t=Ru[K];lt===0||lt===10?((K===1?_:A)(j(_t,0)),_t.length=0):_t.push(lt)}function II(K,lt,_t,re){for(var Ke=0,je=0;je<_t;je++){var ee=ht[lt>>2],te=ht[lt+4>>2];lt+=8;for(var dr=0;dr>2]=Ke,0}function Pd(K){var lt=e["_"+K];return lt}function fg(K,lt,_t,re,Ke){var je={string:rn=>{var Nl=0;if(rn!=null&&rn!==0){var _g=(rn.length<<2)+1;Nl=Vd(_g),et(rn,Nl,_g)}return Nl},array:rn=>{var Nl=Vd(rn.length);return gI(rn,Nl),Nl}};function ee(rn){return lt==="string"?Y(rn):lt==="boolean"?Boolean(rn):rn}var te=Pd(K),dr=[],jn=0;if(re)for(var ta=0;taee==="number"||ee==="boolean"),je=lt!=="string";return je&&Ke&&!re?Pd(K):function(){return fg(K,lt,_t,arguments,re)}}var Ld={abort:pg,emscripten_get_heap_max:en,emscripten_memcpy_big:mg,emscripten_resize_heap:yI,fd_close:Hk,fd_seek:wI,fd_write:II},qk=Fd(),hg=e.___wasm_call_ctors=function(){return(hg=e.___wasm_call_ctors=e.asm.__wasm_call_ctors).apply(null,arguments)},SI=e._init=function(){return(SI=e._init=e.asm.init).apply(null,arguments)},Kt=e._init_with_threads_count=function(){return(Kt=e._init_with_threads_count=e.asm.init_with_threads_count).apply(null,arguments)},Md=e._get_threads_count=function(){return(Md=e._get_threads_count=e.asm.get_threads_count).apply(null,arguments)},vI=e._register_tensor=function(){return(vI=e._register_tensor=e.asm.register_tensor).apply(null,arguments)},Kk=e._dispose_data=function(){return(Kk=e._dispose_data=e.asm.dispose_data).apply(null,arguments)},jk=e._dispose=function(){return(jk=e._dispose=e.asm.dispose).apply(null,arguments)},NI=e._Abs=function(){return(NI=e._Abs=e.asm.Abs).apply(null,arguments)},gg=e._Add=function(){return(gg=e._Add=e.asm.Add).apply(null,arguments)},Zc=e._AddN=function(){return(Zc=e._AddN=e.asm.AddN).apply(null,arguments)},TI=e._All=function(){return(TI=e._All=e.asm.All).apply(null,arguments)},kI=e._Any=function(){return(kI=e._Any=e.asm.Any).apply(null,arguments)},Xk=e._ArgMax=function(){return(Xk=e._ArgMax=e.asm.ArgMax).apply(null,arguments)},EI=e._AvgPool=function(){return(EI=e._AvgPool=e.asm.AvgPool).apply(null,arguments)},_I=e._BatchMatMul=function(){return(_I=e._BatchMatMul=e.asm.BatchMatMul).apply(null,arguments)},AI=e._Ceil=function(){return(AI=e._Ceil=e.asm.Ceil).apply(null,arguments)},$I=e._ClipByValue=function(){return($I=e._ClipByValue=e.asm.ClipByValue).apply(null,arguments)},xg=e._Conv2D=function(){return(xg=e._Conv2D=e.asm.Conv2D).apply(null,arguments)},yg=e._Conv2DBackpropInput=function(){return(yg=e._Conv2DBackpropInput=e.asm.Conv2DBackpropInput).apply(null,arguments)},DI=e._Cos=function(){return(DI=e._Cos=e.asm.Cos).apply(null,arguments)},RI=e._Cosh=function(){return(RI=e._Cosh=e.asm.Cosh).apply(null,arguments)},FI=e._CropAndResize=function(){return(FI=e._CropAndResize=e.asm.CropAndResize).apply(null,arguments)},zd=e._Cumprod=function(){return(zd=e._Cumprod=e.asm.Cumprod).apply(null,arguments)},OI=e._Cumsum=function(){return(OI=e._Cumsum=e.asm.Cumsum).apply(null,arguments)},PI=e._DepthToSpace=function(){return(PI=e._DepthToSpace=e.asm.DepthToSpace).apply(null,arguments)},LI=e._DepthwiseConv2dNative=function(){return(LI=e._DepthwiseConv2dNative=e.asm.DepthwiseConv2dNative).apply(null,arguments)},Fu=e._Elu=function(){return(Fu=e._Elu=e.asm.Elu).apply(null,arguments)},MI=e._Equal=function(){return(MI=e._Equal=e.asm.Equal).apply(null,arguments)},zI=e._Exp=function(){return(zI=e._Exp=e.asm.Exp).apply(null,arguments)},bg=e._FlipLeftRight=function(){return(bg=e._FlipLeftRight=e.asm.FlipLeftRight).apply(null,arguments)},BI=e._Floor=function(){return(BI=e._Floor=e.asm.Floor).apply(null,arguments)},Jc=e._FloorDiv=function(){return(Jc=e._FloorDiv=e.asm.FloorDiv).apply(null,arguments)},VI=e._FusedBatchNorm=function(){return(VI=e._FusedBatchNorm=e.asm.FusedBatchNorm).apply(null,arguments)},GI=e._FusedConv2D=function(){return(GI=e._FusedConv2D=e.asm.FusedConv2D).apply(null,arguments)},vl=e._FusedDepthwiseConv2D=function(){return(vl=e._FusedDepthwiseConv2D=e.asm.FusedDepthwiseConv2D).apply(null,arguments)},Bd=e._Gather=function(){return(Bd=e._Gather=e.asm.Gather).apply(null,arguments)},WI=e._GatherNd=function(){return(WI=e._GatherNd=e.asm.GatherNd).apply(null,arguments)},UI=e._Greater=function(){return(UI=e._Greater=e.asm.Greater).apply(null,arguments)},HI=e._GreaterEqual=function(){return(HI=e._GreaterEqual=e.asm.GreaterEqual).apply(null,arguments)},qI=e._LeakyRelu=function(){return(qI=e._LeakyRelu=e.asm.LeakyRelu).apply(null,arguments)},wg=e._Less=function(){return(wg=e._Less=e.asm.Less).apply(null,arguments)},Cg=e._LessEqual=function(){return(Cg=e._LessEqual=e.asm.LessEqual).apply(null,arguments)},KI=e._Log=function(){return(KI=e._Log=e.asm.Log).apply(null,arguments)},jI=e._LogicalAnd=function(){return(jI=e._LogicalAnd=e.asm.LogicalAnd).apply(null,arguments)},Ig=e._LogicalNot=function(){return(Ig=e._LogicalNot=e.asm.LogicalNot).apply(null,arguments)},Sg=e._LogicalOr=function(){return(Sg=e._LogicalOr=e.asm.LogicalOr).apply(null,arguments)},XI=e._LogicalXor=function(){return(XI=e._LogicalXor=e.asm.LogicalXor).apply(null,arguments)},YI=e._Max=function(){return(YI=e._Max=e.asm.Max).apply(null,arguments)},ZI=e._MaxPool=function(){return(ZI=e._MaxPool=e.asm.MaxPool).apply(null,arguments)},vg=e._Maximum=function(){return(vg=e._Maximum=e.asm.Maximum).apply(null,arguments)},Yk=e._Mean=function(){return(Yk=e._Mean=e.asm.Mean).apply(null,arguments)},JI=e._Min=function(){return(JI=e._Min=e.asm.Min).apply(null,arguments)},QI=e._Minimum=function(){return(QI=e._Minimum=e.asm.Minimum).apply(null,arguments)},tS=e._MirrorPad=function(){return(tS=e._MirrorPad=e.asm.MirrorPad).apply(null,arguments)},eS=e._Multiply=function(){return(eS=e._Multiply=e.asm.Multiply).apply(null,arguments)},rS=e._Neg=function(){return(rS=e._Neg=e.asm.Neg).apply(null,arguments)},nS=e._NonMaxSuppressionV3=function(){return(nS=e._NonMaxSuppressionV3=e.asm.NonMaxSuppressionV3).apply(null,arguments)},oS=e._NonMaxSuppressionV4=function(){return(oS=e._NonMaxSuppressionV4=e.asm.NonMaxSuppressionV4).apply(null,arguments)},sS=e._NonMaxSuppressionV5=function(){return(sS=e._NonMaxSuppressionV5=e.asm.NonMaxSuppressionV5).apply(null,arguments)},iS=e._NotEqual=function(){return(iS=e._NotEqual=e.asm.NotEqual).apply(null,arguments)},aS=e._OneHot=function(){return(aS=e._OneHot=e.asm.OneHot).apply(null,arguments)},lS=e._PadV2=function(){return(lS=e._PadV2=e.asm.PadV2).apply(null,arguments)},uS=e._Pow=function(){return(uS=e._Pow=e.asm.Pow).apply(null,arguments)},cS=e._Prelu=function(){return(cS=e._Prelu=e.asm.Prelu).apply(null,arguments)},pS=e._Prod=function(){return(pS=e._Prod=e.asm.Prod).apply(null,arguments)},mS=e._RealDiv=function(){return(mS=e._RealDiv=e.asm.RealDiv).apply(null,arguments)},fS=e._Relu=function(){return(fS=e._Relu=e.asm.Relu).apply(null,arguments)},dS=e._Relu6=function(){return(dS=e._Relu6=e.asm.Relu6).apply(null,arguments)},hS=e._ResizeBilinear=function(){return(hS=e._ResizeBilinear=e.asm.ResizeBilinear).apply(null,arguments)},gS=e._ResizeNearestNeighbor=function(){return(gS=e._ResizeNearestNeighbor=e.asm.ResizeNearestNeighbor).apply(null,arguments)},xS=e._Reverse=function(){return(xS=e._Reverse=e.asm.Reverse).apply(null,arguments)},yS=e._RotateWithOffset=function(){return(yS=e._RotateWithOffset=e.asm.RotateWithOffset).apply(null,arguments)},bS=e._Round=function(){return(bS=e._Round=e.asm.Round).apply(null,arguments)},wS=e._Rsqrt=function(){return(wS=e._Rsqrt=e.asm.Rsqrt).apply(null,arguments)},CS=e._ScatterNd=function(){return(CS=e._ScatterNd=e.asm.ScatterNd).apply(null,arguments)},IS=e._SelectV2=function(){return(IS=e._SelectV2=e.asm.SelectV2).apply(null,arguments)},SS=e._Sigmoid=function(){return(SS=e._Sigmoid=e.asm.Sigmoid).apply(null,arguments)},vS=e._Sin=function(){return(vS=e._Sin=e.asm.Sin).apply(null,arguments)},NS=e._Softmax=function(){return(NS=e._Softmax=e.asm.Softmax).apply(null,arguments)},TS=e._SparseFillEmptyRows=function(){return(TS=e._SparseFillEmptyRows=e.asm.SparseFillEmptyRows).apply(null,arguments)},kS=e._SparseReshape=function(){return(kS=e._SparseReshape=e.asm.SparseReshape).apply(null,arguments)},ES=e._SparseSegmentReduction=function(){return(ES=e._SparseSegmentReduction=e.asm.SparseSegmentReduction).apply(null,arguments)},_S=e._Sqrt=function(){return(_S=e._Sqrt=e.asm.Sqrt).apply(null,arguments)},AS=e._Square=function(){return(AS=e._Square=e.asm.Square).apply(null,arguments)},$S=e._SquaredDifference=function(){return($S=e._SquaredDifference=e.asm.SquaredDifference).apply(null,arguments)},DS=e._Step=function(){return(DS=e._Step=e.asm.Step).apply(null,arguments)},RS=e._StridedSlice=function(){return(RS=e._StridedSlice=e.asm.StridedSlice).apply(null,arguments)},FS=e._Sub=function(){return(FS=e._Sub=e.asm.Sub).apply(null,arguments)},OS=e._Sum=function(){return(OS=e._Sum=e.asm.Sum).apply(null,arguments)},PS=e._Tan=function(){return(PS=e._Tan=e.asm.Tan).apply(null,arguments)},LS=e._Tanh=function(){return(LS=e._Tanh=e.asm.Tanh).apply(null,arguments)},MS=e._Tile=function(){return(MS=e._Tile=e.asm.Tile).apply(null,arguments)},zS=e._TopK=function(){return(zS=e._TopK=e.asm.TopK).apply(null,arguments)},BS=e._Transform=function(){return(BS=e._Transform=e.asm.Transform).apply(null,arguments)},VS=e._Transpose=function(){return(VS=e._Transpose=e.asm.Transpose).apply(null,arguments)},GS=e.__FusedMatMul=function(){return(GS=e.__FusedMatMul=e.asm._FusedMatMul).apply(null,arguments)},WS=e._malloc=function(){return(WS=e._malloc=e.asm.malloc).apply(null,arguments)},US=e._free=function(){return(US=e._free=e.asm.free).apply(null,arguments)},HS=e.___errno_location=function(){return(HS=e.___errno_location=e.asm.__errno_location).apply(null,arguments)},Ng=e.stackSave=function(){return(Ng=e.stackSave=e.asm.stackSave).apply(null,arguments)},Tg=e.stackRestore=function(){return(Tg=e.stackRestore=e.asm.stackRestore).apply(null,arguments)},Vd=e.stackAlloc=function(){return(Vd=e.stackAlloc=e.asm.stackAlloc).apply(null,arguments)},qS=e.dynCall_iijjiiii=function(){return(qS=e.dynCall_iijjiiii=e.asm.dynCall_iijjiiii).apply(null,arguments)},KS=e.dynCall_jiji=function(){return(KS=e.dynCall_jiji=e.asm.dynCall_jiji).apply(null,arguments)};e.cwrap=dg;var Qc;zr=function K(){Qc||kg(),Qc||(zr=K)};function kg(K){if(K=K||a,qe>0||(Ae(),qe>0))return;function lt(){Qc||(Qc=!0,e.calledRun=!0,!G&&(We(),n(e),e.onRuntimeInitialized&&e.onRuntimeInitialized(),_n()))}e.setStatus?(e.setStatus("Running..."),setTimeout(function(){setTimeout(function(){e.setStatus("")},1),lt()},1)):lt()}if(e.preInit)for(typeof e.preInit=="function"&&(e.preInit=[e.preInit]);e.preInit.length>0;)e.preInit.pop()();kg();var tp;s&&(tp={uncaughtException:process.listeners("uncaughtException").filter(function(K){return!s.uncaughtException.indexOf(K)>-1}),unhandledRejection:process.listeners("unhandledRejection").filter(function(K){return!s.unhandledRejection.indexOf(K)>-1})});var ep;if(typeof t!="undefined")ep=t;else if(typeof WasmBackendModuleThreadedSimd!="undefined")ep=WasmBackendModuleThreadedSimd;else throw new Error("Could not find wasm module in post.js");if(tp){var jS=ep._dispose;ep._dispose=function(){jS(),tp.uncaughtException.forEach(function(K){process.removeListener("uncaughtException",K)}),tp.unhandledRejection.forEach(function(K){process.removeListener("unhandledRejection",K)})}}return t.ready}})();typeof dI=="object"&&typeof Lk=="object"?Lk.exports=Pk:typeof define=="function"&&define.amd?define([],function(){return Pk}):typeof dI=="object"&&(dI.WasmBackendModule=Pk)});var ra=class{constructor(t,e){this.backend=t,this.dataMover=e,this.data=new WeakMap,this.dataIdsCount=0}get(t){return this.data.has(t)||this.dataMover.moveData(this.backend,t),this.data.get(t)}set(t,e){this.dataIdsCount++,this.data.set(t,e)}has(t){return this.data.has(t)}delete(t){return this.dataIdsCount--,this.data.delete(t)}numDataIds(){return this.dataIdsCount}},zo=class{refCount(t){return $n("refCount")}incRef(t){return $n("incRef")}timerAvailable(){return!0}time(t){return $n("time")}read(t){return $n("read")}readSync(t){return $n("readSync")}readToGPU(t,e){return $n("readToGPU")}numDataIds(){return $n("numDataIds")}disposeData(t,e){return $n("disposeData")}write(t,e,n){return $n("write")}move(t,e,n,o,s){return $n("move")}createTensorFromTexture(t,e,n){return $n("createTensorFromTexture")}memory(){return $n("memory")}floatPrecision(){return $n("floatPrecision")}epsilon(){return this.floatPrecision()===32?1e-7:1e-4}dispose(){return $n("dispose")}};function $n(r){throw new Error(`'${r}' not yet implemented or not found in the registry. This kernel may not be supported by the tfjs backend you have chosen`)}function s1(r){let t=r.length,e=0;for(;t>0;)e=Math.random()*t|0,t--,Lg(r,t,e)}function LU(r,t){if(r.length!==t.length)throw new Error(`Array sizes must match to be shuffled together First array length was ${r.length}Second array length was ${t.length}`);let e=r.length,n=0;for(;e>0;)n=Math.random()*e|0,e--,Lg(r,e,n),Lg(t,e,n)}function np(r,t,e){return Math.max(r,Math.min(t,e))}function MU(r){return r%2===0?r:r+1}function Lg(r,t,e){let n=r[t];r[t]=r[e],r[e]=n}function zU(r){let t=0;for(let e=0;ee+` Shapes ${r} and ${t} must match`)}function Yn(r){E(r!=null,()=>"The input to the tensor constructor must be a non-null value.")}function Bo(r,t=[],e=!1){if(t==null&&(t=[]),Array.isArray(r)||xr(r)&&!e)for(let n=0;n0,e,n){return new Promise((o,s)=>{let i=0,a=()=>{if(r()){o();return}i++;let u=t(i);if(e!=null&&i>=e){s();return}n!=null?n(a,u):setTimeout(a,u)};a()})}function KU(r,t){let e=1,n=-1;for(let s=0;s=0)e*=r[s];else if(r[s]===-1){if(n!==-1)throw Error(`Shapes can only have 1 implicit size. Found -1 at dim ${n} and dim ${s}`);n=s}else if(r[s]<0)throw Error(`Shapes can not be < 0. Found ${r[s]} at dim ${s}`);if(n===-1){if(t>0&&t!==e)throw Error(`Size(${t}) must match the product of shape ${r}`);return r}if(e===0)throw Error(`Cannot infer the missing size in [${r}] when there are 0 elements`);if(t%e!==0)throw Error(`The implicit shape can't be a fractional number. Got ${t} / ${e}`);let o=r.slice();return o[n]=t/e,o}function lr(r,t){let e=t.length;return r=r==null?t.map((n,o)=>o):[].concat(r),E(r.every(n=>n>=-e&&n`All values in axis param must be in range [-${e}, ${e}) but got axis ${r}`),E(r.every(n=>na(n)),()=>`All values in axis param must be integers but got axis ${r}`),r.map(n=>n<0?e+n:n)}function t0(r,t){let e=[],n=[],o=t!=null&&Array.isArray(t)&&t.length===0,s=t==null||o?null:lr(t,r).sort(),i=0;for(let a=0;aa)&&r[a]===1&&(e.push(r[a]),n.push(a)),s[i]<=a&&i++}r[a]!==1&&(e.push(r[a]),n.push(a))}return{newShape:e,keptDims:n}}function e0(r,t){let e=null;if(r==null||r==="float32")e=new Float32Array(t);else if(r==="int32")e=new Int32Array(t);else if(r==="bool")e=new Uint8Array(t);else throw new Error(`Unknown data type ${r}`);return e}function r0(r,t){let e=null;if(r==null||r==="float32")e=new Float32Array(t);else if(r==="int32")e=new Int32Array(t);else if(r==="bool")e=new Uint8Array(t);else if(r==="string")e=new Array(t);else throw new Error(`Unknown data type ${r}`);return e}function n0(r,t){for(let e=0;et+=e.length),t}function Vo(r){return typeof r=="string"||r instanceof String}function i1(r){return typeof r=="boolean"}function a1(r){return typeof r=="number"}function op(r){return Array.isArray(r)?op(r[0]):r instanceof Float32Array?"float32":r instanceof Int32Array||r instanceof Uint8Array||r instanceof Uint8ClampedArray?"int32":a1(r)?"float32":Vo(r)?"string":i1(r)?"bool":"float32"}function oi(r){return!!(r&&r.constructor&&r.call&&r.apply)}function sp(r,t){for(let e=t;e=0;--n)e[n]=e[n+1]*r[n+1];return e}function l1(r,t,e,n=!1){let o=new Array;if(t.length===1){let s=t[0]*(n?2:1);for(let i=0;iu*l)*(n?2:1);for(let u=0;uo*s)*(e?2:1);if(n===0)return[];if(n!==t.length)throw new Error(`[${r}] does not match the input size ${t.length}${e?" for a complex tensor":""}.`);return l1(0,r,t,e)}function Wd(r,t){let e=ip(r,t);for(let n=0;nn*o,1);if(t==null||t==="float32")return Ou(r,new Float32Array(e));if(t==="int32")return Ou(r,new Int32Array(e));if(t==="bool")return Ou(r,new Uint8Array(e));throw new Error(`Unknown data type ${t}`)}function Ud(r){r.forEach(t=>{E(Number.isInteger(t)&&t>=0,()=>`Tensor must have a shape comprised of positive integers but got shape [${r}].`)})}function YU(r,t,e){if(t===0)return 0;if(t===1)return r[0];let n=r[r.length-1];for(let o=0;o{let[o,s]=n.split(":");this.urlFlags[o]=e4(o,s)})}};function QU(r){let t={};return r.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g,(e,...n)=>(t4(t,n[0],n[1]),n.join("="))),t}function t4(r,t,e){r[decodeURIComponent(t)]=decodeURIComponent(e||"")}function e4(r,t){if(t=t.toLowerCase(),t==="true"||t==="false")return t==="true";if(`${+t}`===t)return+t;throw new Error(`Could not parse value flag value ${t} for flag ${r}.`)}function z(){return i0}var i0=null;function c1(r){i0=r}var a0;function l0(){if(a0==null){let r;if(typeof window!="undefined")r=window;else if(typeof global!="undefined")r=global;else if(typeof process!="undefined")r=process;else if(typeof self!="undefined")r=self;else throw new Error("Could not find a global object");a0=r}return a0}function r4(){let r=l0();return r._tfGlobals==null&&(r._tfGlobals=new Map),r._tfGlobals}function Kd(r,t){let e=r4();if(e.has(r))return e.get(r);{let n=t();return e.set(r,n),e.get(r)}}var ii="Abs",oa="Acos",sa="Acosh",Zn="Add",Go="AddN",ia="All",aa="Any",Wo="ArgMax",kl="ArgMin",la="Asin",ua="Asinh",ca="Atan",pa="Atanh",ma="Atan2",Uo="AvgPool",ap="AvgPoolGrad",El="AvgPool3D",lp="AvgPool3DGrad",Ho="BatchMatMul",ai="BatchToSpaceND",up="Bincount",p1="BroadcastTo",cp="BroadcastArgs",lo="Cast",qo="Ceil",uo="ClipByValue",pp="Complex",_l="ComplexAbs",li="Concat",Ko="Conv2D",mp="Conv2DBackpropFilter",jo="Conv2DBackpropInput",Al="Conv3D",fp="Conv3DBackpropFilterV2",dp="Conv3DBackpropInputV2",Xo="Cos",Yo="Cosh",fa="Cumprod",Zo="Cumsum",da="CropAndResize",hp="DenseBincount",ha="DepthToSpace",Jo="DepthwiseConv2dNative",gp="DepthwiseConv2dNativeBackpropFilter",xp="DepthwiseConv2dNativeBackpropInput",yp="Diag",$l="Dilation2D",jd="Dilation2DBackpropInput",Xd="Dilation2DBackpropFilter",Qo="RealDiv",bp="Einsum",ts="Elu",wp="EluGrad",ga="Erf",xa="Equal",es="Exp",ui="ExpandDims",ya="Expm1",Cp="FFT",Dl="Fill",ba="FlipLeftRight",rs="Floor",ns="FloorDiv",os="FusedBatchNorm",ci="GatherV2",wa="GatherNd",Ca="Greater",ss="GreaterEqual",co="Identity",Ip="IFFT",Sp="Imag",Ia="IsFinite",Sa="IsInf",va="IsNan",is="LeakyRelu",Na="Less",Ta="LessEqual",vp="LinSpace",as="Log",ka="Log1p",Ea="LogicalAnd",_a="LogicalNot",Aa="LogicalOr",m1="LogicalXor",f1="LogSoftmax",wlt="LowerBound",Rl="LRN",Np="LRNGrad",ls="Max",us="Maximum",cs="MaxPool",Tp="MaxPoolGrad",Fl="MaxPool3D",kp="MaxPool3DGrad",Ep="MaxPoolWithArgmax",ps="Mean",ms="Min",fs="Minimum",ds="MirrorPad",$a="Mod",_p="Multinomial",hs="Multiply",pi="Neg",Da="NotEqual",Ra="NonMaxSuppressionV3",Fa="NonMaxSuppressionV4",Oa="NonMaxSuppressionV5",mi="OnesLike",gs="OneHot",fi="Pack",xs="PadV2",Clt="Pool",ys="Pow",bs="Prelu",ws="Prod",Ap="RaggedGather",$p="RaggedRange",Dp="RaggedTensorToTensor",Ol="Range",Rp="Real",Pa="Reciprocal",Cs="Relu",di="Reshape",Is="ResizeNearestNeighbor",Fp="ResizeNearestNeighborGrad",Ss="ResizeBilinear",Op="ResizeBilinearGrad",vs="Relu6",Ns="Reverse",Ts="Round",ks="Rsqrt",La="ScatterNd",Pp="SearchSorted",hi="Select",Ma="Selu",gi="Slice",Es="Sin",za="Sinh",Ba="Sign",_s="Sigmoid",Va="Softplus",As="Sqrt",$s="Sum",xi="SpaceToBatchND",yi="SplitV",Ds="Softmax",Pl="SparseFillEmptyRows",Ga="SparseReshape",Ll="SparseSegmentMean",Ml="SparseSegmentSum",Lp="SparseToDense",Rs="SquaredDifference",zl="Square",Wa="StridedSlice",Bl="StringNGrams",Vl="StringSplit",Gl="StringToHashBucketFast",Fs="Sub",Os="Tan",Ps="Tanh",Jn="Tile",Ua="TopK",Ha="Transform",Qn="Transpose",Mp="Unique",bi="Unpack",Wl="UnsortedSegmentSum",Ilt="UpperBound",wi="ZerosLike",po="Step",Yd="FromPixels",qa="RotateWithOffset",Ci="_FusedMatMul",Ii="FusedConv2D",Si="FusedDepthwiseConv2D";function vi(...r){z().getBool("IS_TEST")||z().getBool("PROD")||console.warn(...r)}function n4(...r){z().getBool("IS_TEST")||z().getBool("PROD")||console.log(...r)}var zp=Kd("kernelRegistry",()=>new Map),Zd=Kd("gradRegistry",()=>new Map);function Jd(r,t){let e=c0(r,t);return zp.get(e)}function u0(r){return Zd.get(r)}function zg(r){let t=zp.entries(),e=[];for(;;){let{done:n,value:o}=t.next();if(n)break;let[s,i]=o,[a]=s.split("_");a===r&&e.push(i)}return e}function Lu(r){let{kernelName:t,backendName:e}=r,n=c0(t,e);zp.has(n)&&vi(`The kernel '${t}' for backend '${e}' is already registered`),zp.set(n,r)}function h1(r){let{kernelName:t}=r;Zd.has(t)&&z().getBool("DEBUG")&&vi(`Overriding the gradient for '${t}'`),Zd.set(t,r)}function klt(r,t){let e=c0(r,t);if(!zp.has(e))throw new Error(`The kernel '${r}' for backend '${t}' is not registered`);zp.delete(e)}function Elt(r){if(!Zd.has(r))throw new Error(`The gradient '${r}' for backend is not registered`);Zd.delete(r)}function _lt(r,t){zg(r).forEach(n=>{let o=Object.assign({},n,{backendName:t});Lu(o)})}function c0(r,t){return`${t}_${r}`}var y={};Wt(y,{arraysEqual:()=>Dn,assert:()=>E,assertNonNegativeIntegerDimensions:()=>Ud,assertNonNull:()=>Yn,assertShapesMatch:()=>$e,bytesFromStringArray:()=>s0,bytesPerElement:()=>Mg,checkConversionForErrors:()=>n0,clamp:()=>np,computeStrides:()=>si,createScalarValue:()=>c4,createShuffledIndices:()=>HU,decodeString:()=>Wp,distSquared:()=>VU,encodeString:()=>Hl,fetch:()=>m4,fingerPrint64:()=>u4,flatten:()=>Bo,getArrayFromDType:()=>r0,getTypedArrayFromDType:()=>e0,hasEncodingLoss:()=>jU,hexToLong:()=>Qd,indexToLoc:()=>ZU,inferDtype:()=>op,inferFromImplicitShape:()=>KU,isBoolean:()=>i1,isFunction:()=>oi,isInt:()=>na,isNumber:()=>a1,isPromise:()=>Hd,isScalarShape:()=>GU,isString:()=>Vo,isTypedArray:()=>xr,isValidDtype:()=>o0,locToIndex:()=>YU,makeOnesTypedArray:()=>Wd,makeZerosNestedTypedArray:()=>XU,makeZerosTypedArray:()=>ip,nearestDivisor:()=>sp,nearestLargerEven:()=>MU,now:()=>Gu,parseAxisParam:()=>lr,randUniform:()=>BU,repeatedTry:()=>qU,rightPad:()=>Pu,shuffle:()=>s1,shuffleCombo:()=>LU,sizeFromShape:()=>Jt,sizeToSquarishShape:()=>UU,squeezeShape:()=>t0,sum:()=>zU,swap:()=>Lg,tanh:()=>WU,toNestedArray:()=>Ou,toTypedArray:()=>Gp});var d0=Tl(T1());var Vu=d0.default||d0;function Qd(r){return Vu.fromString(r,!0,16)}var E1=Qd("c3a5c85c97cb3127"),Bu=Qd("b492b66fbe98f273"),nn=Qd("9ae16a3b2f90404f");function f0(r){return r.xor(r.shru(47))}function _1(r,t,e){let n=r.slice(t,t+e);return Vu.fromBytes(Array.from(n),!0,!0)}function Pe(r,t){return _1(r,t,8)}function k1(r,t){return _1(r,t,4)}function kr(r,t){return t===0?r:r.shru(t).or(r.shl(64-t))}function Ul(r,t,e=Qd("9ddfea08eb382d69")){let n=r.xor(t).mul(e);n=n.xor(n.shru(47));let o=t.xor(n).mul(e);return o=o.xor(o.shru(47)),o=o.mul(e),o}function s4(r,t,e,n,o,s){o=o.add(r),s=kr(s.add(o).add(n),21);let i=o;return o=o.add(t),o=o.add(e),s=s.add(kr(o,44)),[o.add(n),s.add(i)]}function Vg(r,t,e,n){return s4(Pe(r,t),Pe(r,t+8),Pe(r,t+16),Pe(r,t+24),e,n)}function i4(r,t=r.length){if(t>=8){let e=nn.add(t*2),n=Pe(r,0).add(nn),o=Pe(r,t-8),s=kr(o,37).mul(e).add(n),i=kr(n,25).add(o).mul(e);return Ul(s,i,e)}if(t>=4){let e=nn.add(t*2),n=k1(r,0);return Ul(n.shl(3).add(t),k1(r,t-4),e)}if(t>0){let e=r[0],n=r[t>>1],o=r[t-1],s=e+(n<<8),i=t+(o<<2);return f0(nn.mul(s).xor(E1.mul(i))).mul(nn)}return nn}function a4(r,t=r.length){let e=nn.add(t*2),n=Pe(r,0).mul(Bu),o=Pe(r,8),s=Pe(r,t-8).mul(e),i=Pe(r,t-16).mul(nn);return Ul(kr(n.add(o),43).add(kr(s,30)).add(i),n.add(kr(o.add(nn),18)).add(s),e)}function l4(r,t=r.length){let e=nn.add(t*2),n=Pe(r,0).mul(nn),o=Pe(r,8),s=Pe(r,t-8).mul(e),i=Pe(r,t-16).mul(nn),a=kr(n.add(o),43).add(kr(s,30)).add(i),u=Ul(a,n.add(kr(o.add(nn),18)).add(s),e),l=Pe(r,16).mul(e),c=Pe(r,24),p=a.add(Pe(r,t-32)).mul(e),m=u.add(Pe(r,t-24)).mul(e);return Ul(kr(l.add(c),43).add(kr(p,30)).add(m),l.add(kr(c.add(n),18)).add(p),e)}function u4(r,t=r.length){let e=Vu.fromNumber(81,!0);if(t<=32)return t<=16?i4(r,t):a4(r,t);if(t<=64)return l4(r,t);let n=e,o=e.mul(Bu).add(113),s=f0(o.mul(nn).add(113)).mul(nn),i=[Vu.UZERO,Vu.UZERO],a=[Vu.UZERO,Vu.UZERO];n=n.mul(nn).add(Pe(r,0));let u=0,l=(t-1>>6)*64,c=l+(t-1&63)-63;do n=kr(n.add(o).add(i[0]).add(Pe(r,u+8)),37).mul(Bu),o=kr(o.add(i[1]).add(Pe(r,u+48)),42).mul(Bu),n=n.xor(a[1]),o=o.add(i[0]).add(Pe(r,u+40)),s=kr(s.add(a[0]),33).mul(Bu),i=Vg(r,u,i[1].mul(Bu),n.add(a[0])),a=Vg(r,u+32,s.add(a[1]),o.add(Pe(r,u+16))),[s,n]=[n,s],u+=64;while(u!==l);let p=Bu.add(s.and(255).shl(1));return u=c,a[0]=a[0].add(t-1&63),i[0]=i[0].add(a[0]),a[0]=a[0].add(i[0]),n=kr(n.add(o).add(i[0]).add(Pe(r,u+8)),37).mul(p),o=kr(o.add(i[1]).add(Pe(r,u+48)),42).mul(p),n=n.xor(a[1].mul(9)),o=o.add(i[0].mul(9).add(Pe(r,u+40))),s=kr(s.add(a[0]),33).mul(p),i=Vg(r,u,i[1].mul(p),n.add(a[0])),a=Vg(r,u+32,s.add(a[1]),o.add(Pe(r,u+16))),[s,n]=[n,s],Ul(Ul(i[0],a[0],p).add(f0(o).mul(E1)).add(s),Ul(i[1],a[1],p).add(n),p)}function c4(r,t){return t==="string"?Hl(r):Gp([r],t)}function p4(r,t){return r instanceof Float32Array&&t==="float32"||r instanceof Int32Array&&t==="int32"||r instanceof Uint8Array&&t==="bool"}function Gp(r,t){if(t==="string")throw new Error("Cannot convert a string[] to a TypedArray");if(Array.isArray(r)&&(r=Bo(r)),z().getBool("DEBUG")&&n0(r,t),p4(r,t))return r;if(t==null||t==="float32"||t==="complex64")return new Float32Array(r);if(t==="int32")return new Int32Array(r);if(t==="bool"){let e=new Uint8Array(r.length);for(let n=0;n{o=n()},i,a=Gu();if(this.backendTimer.timerAvailable())i=this.backendTimer.time(s);else{s();for(let l of o)l.dataSync();i=Promise.resolve({kernelMs:Gu()-a})}if(z().getBool("CHECK_COMPUTATION_FOR_ERRORS"))for(let l=0;l{f4(p,c.dtype,t)})}return{kernelName:t,outputs:o,inputs:e,timeMs:i.then(l=>l.kernelMs),extraInfo:i.then(l=>l.getExtraProfileInfo!=null?l.getExtraProfileInfo():"")}}logKernelProfile(t){let{kernelName:e,outputs:n,timeMs:o,inputs:s,extraInfo:i}=t;n.forEach(a=>{Promise.all([a.data(),o,i]).then(u=>{this.logger.logKernelProfile(e,a,u[0],u[1],s,u[2])})})}};function f4(r,t,e){if(t!=="float32")return!1;for(let n=0;n0?h:""} `}}console.log(`%c${u} %c${a} %c${l}D ${p} %c${c} %c${m} %c${i}`,"font-weight:bold","color:red","color:blue","color: orange","color: green","color: steelblue")}};function A1(r,t,e){let n={},o={};for(let u=0;un[h.id]=!0),f=!0,o[l.id]=!0;break}if(f)break}}let s={};s[e.id]=!0;let i={};for(let u=r.length-1;u>=0;u--){let l=r[u],c=l.inputs;for(let p=0;p=0;o--){let s=t[o],i=[];if(s.outputs.forEach(u=>{let l=r[u.id];l!=null?i.push(l):i.push(null)}),s.gradient==null)throw new Error(`Cannot compute gradient: gradient function not found for ${s.kernelName}.`);let a=s.gradient(i);for(let u in s.inputs){if(!(u in a))throw new Error(`Cannot backprop through input ${u}. Available gradients found: ${Object.keys(a)}.`);let l=e(()=>a[u]());if(l.dtype!=="float32")throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input ${u} must have 'float32' dtype, but has '${l.dtype}'`);let c=s.inputs[u];if(!Dn(l.shape,c.shape))throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input '${u}' has shape '${l.shape}', which does not match the shape of the input '${c.shape}'`);if(r[c.id]==null)r[c.id]=l;else{let p=r[c.id];r[c.id]=n(p,l),p.dispose()}}}}var D1=20,th=3,g0=7;function R1(r,t,e,n){let o=si(t),s=d4(r,t,e,o),i=t.length,a=Wg(r,t,e,o,s),u=["Tensor"];return n&&(u.push(` dtype: ${e}`),u.push(` rank: ${i}`),u.push(` shape: [${t}]`),u.push(" values:")),u.push(a.map(l=>" "+l).join(` `)),u.join(` -`)}function n4(r,t,e,n){let o=Zt(t),s=n[n.length-1],i=new Array(s).fill(0),a=t.length,u=e==="complex64"?Jd(r):r;if(a>1)for(let l=0;lT1){let g=Yd*i,x=Array.from(r.slice(0,g)),b=Array.from(r.slice((a-Yd)*i,a*i));return e==="complex64"&&(x=Jd(x),b=Jd(b)),["["+x.map((w,C)=>Zd(w,o[C],e)).join(", ")+", ..., "+b.map((w,C)=>Zd(w,o[a-Yd+C],e)).join(", ")+"]"]}let h=e==="complex64"?Jd(r):Array.from(r);return["["+h.map((g,x)=>Zd(g,o[x],e)).join(", ")+"]"]}let l=t.slice(1),c=n.slice(1),p=n[0]*i,m=[];if(a>T1){for(let h=0;h1)for(let l=0;lD1){let g=th*i,x=Array.from(r.slice(0,g)),b=Array.from(r.slice((a-th)*i,a*i));return e==="complex64"&&(x=rh(x),b=rh(b)),["["+x.map((w,C)=>eh(w,o[C],e)).join(", ")+", ..., "+b.map((w,C)=>eh(w,o[a-th+C],e)).join(", ")+"]"]}let h=e==="complex64"?rh(r):Array.from(r);return["["+h.map((g,x)=>eh(g,o[x],e)).join(", ")+"]"]}let l=t.slice(1),c=n.slice(1),p=n[0]*i,m=[];if(a>D1){for(let h=0;h`Length of values '${o}' does not match the size inferred by the shape '${this.size}'.`)}if(e==="complex64")throw new Error("complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).");this.values=n||Zv(e,this.size),this.strides=ni(t)}set(t,...e){e.length===0&&(e=[0]),E(e.length===this.rank,()=>`The number of provided coordinates (${e.length}) must match the rank (${this.rank})`);let n=this.locToIndex(e);this.values[n]=t}get(...t){t.length===0&&(t=[0]);let e=0;for(let o of t){if(o<0||o>=this.shape[e]){let s=`Requested out of range element at ${t}. Buffer shape=${this.shape}`;throw new Error(s)}e++}let n=t[t.length-1];for(let o=0;oGp(n))}catch(n){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}}return t}dataToGPU(t){return this.throwIfDisposed(),Ls().readToGPU(this.dataId,t)}dataSync(){this.throwIfDisposed();let t=Ls().readSync(this.dataId);if(this.dtype==="string")try{return t.map(e=>Gp(e))}catch(e){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return t}async bytes(){this.throwIfDisposed();let t=await Ls().read(this.dataId);return this.dtype==="string"?t:new Uint8Array(t.buffer)}dispose(){this.isDisposed||(Ls().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(t=!1){return Wp.print(this,t)}clone(){return this.throwIfDisposed(),Wp.clone(this)}toString(t=!1){let e=this.dataSync();return E1(e,this.shape,this.dtype,t)}cast(t){return this.throwIfDisposed(),Wp.cast(this,t)}variable(t=!0,e,n){return this.throwIfDisposed(),Ls().makeVariable(this,t,e,n)}};Object.defineProperty(Ft,Symbol.hasInstance,{value:r=>!!r&&r.data!=null&&r.dataSync!=null&&r.throwIfDisposed!=null});function O(){return Wd("Tensor",()=>Ft)}O();var Ha=class extends Ft{constructor(t,e,n,o){super(t.shape,t.dtype,t.dataId,o),this.trainable=e,this.name=n}assign(t){if(t.dtype!==this.dtype)throw new Error(`dtype of the new value (${t.dtype}) and previous value (${this.dtype}) must match`);if(!An(t.shape,this.shape))throw new Error(`shape of the new value (${t.shape}) and previous value (${this.shape}) must match`);Ls().disposeTensor(this),this.dataId=t.dataId,Ls().incRef(this,null)}dispose(){Ls().disposeVariable(this),this.isDisposedInternal=!0}};Object.defineProperty(Ha,Symbol.hasInstance,{value:r=>r instanceof Ft&&r.assign!=null&&r.assign instanceof Function});var fo={};Gt(fo,{assertTypesMatch:()=>xS,getTensorsInContainer:()=>Qd,isTensorInList:()=>i4,makeTypesMatch:()=>Wt});var mS;(function(r){r.R0="R0",r.R1="R1",r.R2="R2",r.R3="R3",r.R4="R4",r.R5="R5",r.R6="R6"})(mS||(mS={}));var fS;(function(r){r.float32="float32",r.int32="int32",r.bool="int32",r.complex64="complex64"})(fS||(fS={}));var dS;(function(r){r.float32="float32",r.int32="int32",r.bool="bool",r.complex64="complex64"})(dS||(dS={}));var hS;(function(r){r.float32="float32",r.int32="float32",r.bool="float32",r.complex64="complex64"})(hS||(hS={}));var gS;(function(r){r.float32="complex64",r.int32="complex64",r.bool="complex64",r.complex64="complex64"})(gS||(gS={}));var s4={float32:hS,int32:fS,bool:dS,complex64:gS};function or(r,t){if(r==="string"||t==="string"){if(r==="string"&&t==="string")return"string";throw new Error(`Can not upcast ${r} with ${t}`)}return s4[r][t]}function Gu(r){return or(r,"int32")}function Wt(r,t){if(r.dtype===t.dtype)return[r,t];let e=or(r.dtype,t.dtype);return[r.cast(e),t.cast(e)]}function xS(r,t){E(r.dtype===t.dtype,()=>`The dtypes of the first(${r.dtype}) and second(${t.dtype}) input must match`)}function i4(r,t){return t.some(e=>e.id===r.id)}function Qd(r){let t=[];return R1(r,t,new Set),t}function R1(r,t,e){if(r==null)return;if(r instanceof Ft){t.push(r);return}if(!a4(r))return;let n=r;for(let o in n){let s=n[o];e.has(s)||(e.add(s),R1(s,t,e))}}function a4(r){return Array.isArray(r)||typeof r=="object"}function yS(r){return r.kernelName!=null}var zg=class{constructor(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null,get kernelNames(){return Array.from(new Set(this.kernels.map(t=>t.name)))}}}dispose(){for(let t in this.registeredVariables)this.registeredVariables[t].dispose()}},Ul=class{constructor(t){this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new zg}async ready(){if(this.pendingBackendInit!=null)return this.pendingBackendInit.then(()=>{});if(this.backendInstance!=null)return;let t=this.getSortedBackends();for(let e=0;e{e.setupFunc!=null&&e.setupFunc(this.backendInstance)})}disposeRegisteredKernels(t){Fg(t).forEach(n=>{n.disposeFunc!=null&&n.disposeFunc(this.registry[t])})}initializeBackend(t){let e=this.registryFactory[t];if(e==null)throw new Error(`Cannot initialize backend ${t}, no registration found.`);try{let n=e.factory();if(n&&!(n instanceof Mo)&&typeof n.then=="function"){let o=++this.pendingBackendInitId,s=n.then(i=>o(othis.registryFactory[e].priority-this.registryFactory[t].priority)}initializeBackendsAndReturnBest(){let t=this.getSortedBackends();for(let e=0;ethis.startScope(n),()=>this.endScope(o),()=>(o=e(),o instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),o))}scopedRun(t,e,n){t();try{let o=n();return e(),o}catch(o){throw e(),o}}nextTensorId(){return Ul.nextTensorId++}nextVariableId(){return Ul.nextVariableId++}clone(t){let e=T.runKernel(lo,{x:t}),n={x:t},o=i=>({x:()=>{let a="float32",u={x:i},l={dtype:a};return T.runKernel(io,u,l)}}),s=[];return this.addTapeNode(this.state.activeScope.name,n,[e],o,s,{}),e}runKernel(t,e,n){if(this.backendName==null&&this.backend,!(jd(t,this.backendName)!=null))throw new Error(`Kernel '${t}' not registered for backend '${this.backendName}'`);return this.runKernelFunc({kernelName:t,inputs:e,attrs:n})}shouldCheckForMemLeaks(){return this.ENV.getBool("IS_TEST")}checkKernelForMemLeak(t,e,n){let o=this.backend.numDataIds(),s=0;n.forEach(u=>{s+=u.dtype==="complex64"?3:1});let i=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],a=o-e-s-i;if(a>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${a} data ids) after running '${t}'`)}runKernelFunc(t){let e,n=[],o=this.isTapeOn(),s=this.state.numBytes,i=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);let a;this.backendName==null&&this.backend;let u,l=yS(t)?t.kernelName:this.state.activeScope!=null?this.state.activeScope.name:"";if(yS(t)){let{kernelName:d,inputs:h,attrs:g}=t;this.backendName==null&&this.backend;let x=jd(d,this.backendName);E(x!=null,()=>`Cannot find registered kernel '${d}' for backend '${this.backendName}'`),a=()=>{let b=this.backend.numDataIds();u=x.kernelFunc({inputs:h,attrs:g,backend:this.backend});let w=Array.isArray(u)?u:[u];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(d,b,w);let C=w.map(N=>N.rank!=null?N:this.makeTensorFromTensorInfo(N));if(o){let N=this.getTensorsForGradient(d,h,C);n=this.saveTensorsForBackwardMode(N)}return C}}else{let{forwardFunc:d}=t,h=g=>{!o||(n=g.map(x=>this.keep(this.clone(x))))};a=()=>{let g=this.backend.numDataIds();u=this.tidy(()=>d(this.backend,h));let x=Array.isArray(u)?u:[u];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(l,g,x),x}}let{inputs:c,attrs:p}=t,m=yS(t)?null:t.backwardsFunc,f;return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{!this.ENV.getBool("DEBUG")&&!this.state.profiling?e=a():(f=this.profiler.profileKernel(l,c,()=>a()),this.ENV.getBool("DEBUG")&&this.profiler.logKernelProfile(f),e=f.outputs)}),o&&this.addTapeNode(l,c,e,m,n,p),this.state.profiling&&this.state.activeProfile.kernels.push({name:l,bytesAdded:this.state.numBytes-s,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-i,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(c).map(d=>c[d]!=null?c[d].shape:null),outputShapes:e.map(d=>d.shape),kernelTimeMs:f.timeMs,extraInfo:f.extraInfo}),Array.isArray(u)?e:e[0]}saveTensorsForBackwardMode(t){return t.map(n=>this.keep(this.clone(n)))}getTensorsForGradient(t,e,n){let o=oS(t);if(o!=null){let s=o.inputsToSave||[],i=o.outputsToSave||[],a;o.saveAllInputs?(E(Array.isArray(e),()=>"saveAllInputs is true, expected inputs to be an array."),a=Object.keys(e).map(l=>e[l])):a=s.map(l=>e[l]);let u=n.filter((l,c)=>i[c]);return a.concat(u)}return[]}makeTensor(t,e,n,o){if(t==null)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",o=o||this.backend;let s=t;n==="string"&&Bo(t[0])&&(s=t.map(u=>Wl(u)));let i=o.write(s,e,n),a=new Ft(e,n,i,this.nextTensorId());if(this.trackTensor(a,o),n==="string"){let u=this.state.tensorInfo.get(i),l=tS(s);this.state.numBytes+=l-u.bytes,u.bytes=l}return a}makeTensorFromDataId(t,e,n,o){n=n||"float32";let s={dataId:t,shape:e,dtype:n};return this.makeTensorFromTensorInfo(s,o)}makeTensorFromTensorInfo(t,e){let{dataId:n,shape:o,dtype:s}=t,i=new Ft(o,s,n,this.nextTensorId());return this.trackTensor(i,e),i}makeVariable(t,e=!0,n,o){n=n||this.nextVariableId().toString(),o!=null&&o!==t.dtype&&(t=t.cast(o));let s=new Ha(t,e,n,this.nextTensorId());if(this.state.registeredVariables[s.name]!=null)throw new Error(`Variable with name ${s.name} was already registered`);return this.state.registeredVariables[s.name]=s,this.incRef(s,this.backend),s}trackTensor(t,e){this.state.numTensors++,t.dtype==="string"&&this.state.numStringTensors++;let n=0;t.dtype!=="complex64"&&t.dtype!=="string"&&(n=t.size*Rg(t.dtype)),this.state.numBytes+=n,this.state.tensorInfo.has(t.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(t.dataId,{backend:e||this.backend,dtype:t.dtype,shape:t.shape,bytes:n})),t instanceof Ha||this.track(t)}incRef(t,e){this.trackTensor(t,e),this.backend.incRef(t.dataId)}removeDataId(t,e){this.state.tensorInfo.has(t)&&this.state.tensorInfo.get(t).backend===e&&(this.state.tensorInfo.delete(t),this.state.numDataBuffers--)}disposeTensor(t){if(!this.state.tensorInfo.has(t.dataId))return;let e=this.state.tensorInfo.get(t.dataId);if(this.state.numTensors--,t.dtype==="string"&&(this.state.numStringTensors--,this.state.numBytes-=e.bytes),t.dtype!=="complex64"&&t.dtype!=="string"){let n=t.size*Rg(t.dtype);this.state.numBytes-=n}e.backend.disposeData(t.dataId)&&this.removeDataId(t.dataId,e.backend)}disposeVariables(){for(let t in this.state.registeredVariables){let e=this.state.registeredVariables[t];this.disposeVariable(e)}}disposeVariable(t){this.disposeTensor(t),this.state.registeredVariables[t.name]!=null&&delete this.state.registeredVariables[t.name]}memory(){let t=this.backend.memory();return t.numTensors=this.state.numTensors,t.numDataBuffers=this.state.numDataBuffers,t.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(t.unreliable=!0,t.reasons==null&&(t.reasons=[]),t.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),t}async profile(t){this.state.profiling=!0;let e=this.state.numBytes,n=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await t(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map(o=>o.totalBytesSnapshot)),this.state.activeProfile.newBytes=this.state.numBytes-e,this.state.activeProfile.newTensors=this.state.numTensors-n;for(let o of this.state.activeProfile.kernels)o.kernelTimeMs=await o.kernelTimeMs,o.extraInfo=await o.extraInfo;return this.state.activeProfile}isTapeOn(){return this.state.gradientDepth>0&&this.state.kernelDepth===0}addTapeNode(t,e,n,o,s,i){let a={id:this.state.nextTapeNodeId++,kernelName:t,inputs:e,outputs:n,saved:s},u=oS(t);u!=null&&(o=u.gradFunc),o!=null&&(a.gradient=l=>(l=l.map((c,p)=>{if(c==null){let m=n[p],f=ip(m.size,m.dtype);return this.makeTensor(f,m.shape,m.dtype)}return c}),o(l.length>1?l:l[0],s,i))),this.state.activeTape.push(a)}keep(t){return t.kept=!0,t}startTape(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++}endTape(){this.state.gradientDepth--}startScope(t){let e={track:[],name:"unnamed scope",id:this.state.nextScopeId++};t&&(e.name=t),this.state.scopeStack.push(e),this.state.activeScope=e}endScope(t){let e=Qd(t),n=new Set(e.map(s=>s.id));for(let s=0;s{!s.kept&&s.scopeId===o.id&&this.track(s)})}gradients(t,e,n,o=!1){if(E(e.length>0,()=>"gradients() received an empty list of xs."),n!=null&&n.dtype!=="float32")throw new Error(`dy must have 'float32' dtype, but has '${n.dtype}'`);let s=this.scopedRun(()=>this.startTape(),()=>this.endTape(),()=>this.tidy("forward",t));E(s instanceof Ft,()=>"The result y returned by f() must be a tensor.");let i=N1(this.state.activeTape,e,s);if(!o&&i.length===0&&e.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",()=>{let a={};a[s.id]=n==null?l4(s.shape):n,k1(a,i,l=>this.tidy(l),u4);let u=e.map(l=>a[l.id]);return this.state.gradientDepth===0&&(this.state.activeTape.forEach(l=>{for(let c of l.saved)c.dispose()}),this.state.activeTape=null),{value:s,grads:u}})}customGrad(t){return E(ri(t),()=>"The f passed in customGrad(f) must be a function."),(...e)=>{E(e.every(a=>a instanceof Ft),()=>"The args passed in customGrad(f)(x1, x2,...) must all be tensors");let n,o={};e.forEach((a,u)=>{o[u]=a});let s=(a,u)=>(n=t(...e,u),E(n.value instanceof Ft,()=>"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"),E(ri(n.gradFunc),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."),n.value),i=(a,u)=>{let l=n.gradFunc(a,u),c=Array.isArray(l)?l:[l];E(c.length===e.length,()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."),E(c.every(m=>m instanceof Ft),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.");let p={};return c.forEach((m,f)=>{p[f]=()=>m}),p};return this.runKernelFunc({forwardFunc:s,backwardsFunc:i,inputs:o})}}readSync(t){return this.state.tensorInfo.get(t).backend.readSync(t)}read(t){return this.state.tensorInfo.get(t).backend.read(t)}readToGPU(t,e){return this.state.tensorInfo.get(t).backend.readToGPU(t,e)}async time(t){let e=Vu(),n=await this.backend.time(t);return n.wallMs=Vu()-e,n}track(t){return this.state.activeScope!=null&&(t.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(t)),t}get registeredVariables(){return this.state.registeredVariables}reset(){this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new zg;for(let t in this.registry)this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null}};Ul.nextTensorId=0;Ul.nextVariableId=0;function l4(r){let t=zd(Zt(r),"float32");return T.makeTensor(t,r,"float32")}function bS(){let r=nS();if(r._tfengine==null){let t=new Gd(r);r._tfengine=new Ul(t)}return s1(r._tfengine.ENV),A1(()=>r._tfengine),r._tfengine}var T=bS();function u4(r,t){let e={a:r,b:t};return T.runKernel(Yn,e)}var Hl={};Gt(Hl,{isBrowser:()=>CS,isMobile:()=>m4,mockIsMobile:()=>p4});function c4(){return typeof navigator!="undefined"&&navigator!=null}var wS;function p4(r){wS=r}function m4(r){if(wS!==void 0)return wS;if(r||c4()){if(r||(r=navigator),r.product==="ReactNative")return!0;let t=r.userAgent||r.vendor||(typeof window!="undefined"?window.opera:"");if(!t){let e=r;return e.userAgentData&&e.userAgentData.mobile}return/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i.test(t)||/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i.test(t.substr(0,4))}return!1}function CS(){return typeof window!="undefined"&&window.document!=null||typeof WorkerGlobalScope!="undefined"}var Rn=M();Rn.registerFlag("DEBUG",()=>!1,r=>{r&&console.warn("Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.")});Rn.registerFlag("IS_BROWSER",()=>CS());Rn.registerFlag("IS_NODE",()=>typeof process!="undefined"&&typeof process.versions!="undefined"&&typeof process.versions.node!="undefined");Rn.registerFlag("IS_CHROME",()=>typeof navigator!="undefined"&&navigator!=null&&navigator.userAgent!=null&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor));Rn.registerFlag("PROD",()=>!1);Rn.registerFlag("TENSORLIKE_CHECK_SHAPE_CONSISTENCY",()=>Rn.getBool("DEBUG"));Rn.registerFlag("DEPRECATION_WARNINGS_ENABLED",()=>!0);Rn.registerFlag("IS_TEST",()=>!1);Rn.registerFlag("CHECK_COMPUTATION_FOR_ERRORS",()=>!0);Rn.registerFlag("WRAP_TO_IMAGEBITMAP",()=>!1);Rn.registerFlag("ENGINE_COMPILE_ONLY",()=>!1);Rn.registerFlag("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU",()=>!1);Rn.registerFlag("USE_SETTIMEOUTCUSTOM",()=>!1);function Mr(r,t){let e=r;if(hr(r))return t==="string"?[]:[r.length];if(!Array.isArray(r))return[];let n=[];for(;Array.isArray(e)||hr(e)&&t!=="string";)n.push(e.length),e=e[0];return Array.isArray(r)&&M().getBool("TENSORLIKE_CHECK_SHAPE_CONSISTENCY")&&O1(r,n,[]),n}function O1(r,t,e){if(e=e||[],!Array.isArray(r)&&!hr(r)){E(t.length===0,()=>`Element arr[${e.join("][")}] is a primitive, but should be an array/TypedArray of ${t[0]} elements`);return}E(t.length>0,()=>`Element arr[${e.join("][")}] should be a primitive, but is an array of ${r.length} elements`),E(r.length===t[0],()=>`Element arr[${e.join("][")}] should have ${t[0]} elements, but has ${r.length} elements`);let n=t.slice(1);for(let o=0;o=0&&(o=n),F1(n,o,t,e),r==null||!hr(r)&&!Array.isArray(r)&&typeof r!="number"&&typeof r!="boolean"&&typeof r!="string"){let u=r==null?"null":r.constructor.name;throw new Error(`Argument '${t}' passed to '${e}' must be a Tensor or TensorLike, but got '${u}'`)}let s=Mr(r,o);!hr(r)&&!Array.isArray(r)&&(r=[r]);let a=o!=="string"?Vp(r,o):zo(r,[],!0);return T.makeTensor(a,s,o)}function qa(r,t,e,n="numeric"){if(!Array.isArray(r))throw new Error(`Argument ${t} passed to ${e} must be a \`Tensor[]\` or \`TensorLike[]\``);return r.map((s,i)=>I(s,`${t}[${i}]`,e,n))}var IS="__op";function k(r){let t=Object.keys(r);if(t.length!==1)throw new Error(`Please provide an object with a single key (operation name) mapping to a function. Got an object with ${t.length} keys.`);let e=t[0],n=r[e];e.endsWith("_")&&(e=e.substring(0,e.length-1)),e=e+IS;let o=(...s)=>{T.startScope(e);try{let i=n(...s);return Vd(i)&&console.error("Cannot return a Promise inside of tidy."),T.endScope(i),i}catch(i){throw T.endScope(null),i}};return Object.defineProperty(o,"name",{value:e,configurable:!0}),o}function f4(r,t){let e=I(r,"real","complex"),n=I(t,"imag","complex");$e(e.shape,n.shape,`real and imag shapes, ${e.shape} and ${n.shape}, must match in call to tf.complex().`);let o={real:e,imag:n};return T.runKernel(pp,o)}var bn=k({complex_:f4});function on(r,t,e,n){if(n==null&&(n=op(r)),n==="complex64")throw new Error("Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).");if(!hr(r)&&!Array.isArray(r)&&typeof r!="number"&&typeof r!="boolean"&&typeof r!="string")throw new Error("values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray");if(t!=null){Bd(t);let o=Zt(t),s=Zt(e);E(o===s,()=>`Based on the provided shape, [${t}], the tensor should have ${o} values but has ${s}`);for(let i=0;i`Error creating a new Tensor. Inferred shape (${e}) does not match the provided shape (${t}). `)}}return!hr(r)&&!Array.isArray(r)&&(r=[r]),t=t||e,r=n!=="string"?Vp(r,n):zo(r,[],!0),T.makeTensor(r,t,n)}function wr(r,t,e){let n=Mr(r,e);return on(r,t,n,e)}var th={float32:4,float16:2,int32:4,uint16:2,uint8:1,bool:1,complex64:8};var Bg=4;async function L1(r,t){let e=[],n=[],o=Array.isArray(r)?r.map(i=>i.name):Object.keys(r);for(let i=0;i{let m=await u.bytes(),f=m.reduce((g,x)=>g+x.length,0)+Bg*m.length,d=new Uint8Array(f),h=0;for(let g=0;g{if(t+=s.byteLength,e.push(s.byteLength===s.buffer.byteLength?s:new s.constructor(s)),!(s instanceof Float32Array||s instanceof Int32Array||s instanceof Uint8Array))throw new Error(`Unsupported TypedArray subtype: ${s.constructor.name}`)});let n=new Uint8Array(t),o=0;return e.forEach(s=>{n.set(new Uint8Array(s.buffer),o),o+=s.byteLength}),n.buffer}var vS=typeof Buffer!="undefined"&&(typeof Blob=="undefined"||typeof atob=="undefined"||typeof btoa=="undefined");function P1(r){return vS?Buffer.byteLength(r):new Blob([r]).size}function M1(r){if(vS)return Buffer.from(r).toString("base64");let t=new Uint8Array(r),e="";for(let n=0,o=t.length;n{t+=o.byteLength});let e=new Uint8Array(t),n=0;return r.forEach(o=>{e.set(new Uint8Array(o),n),n+=o.byteLength}),e.buffer}function SS(r){let t="/";for(r=r.trim();r.endsWith(t);)r=r.slice(0,r.length-1);let e=r.split(t);return e[e.length-1]}function Gg(r,t){let e={modelTopology:r.modelTopology,format:r.format,generatedBy:r.generatedBy,convertedBy:r.convertedBy,weightsManifest:t};return r.signature!=null&&(e.signature=r.signature),r.userDefinedMetadata!=null&&(e.userDefinedMetadata=r.userDefinedMetadata),r.modelInitializer!=null&&(e.modelInitializer=r.modelInitializer),r.trainingConfig!=null&&(e.trainingConfig=r.trainingConfig),e}function NS(r,t,e){let n={modelTopology:r.modelTopology,format:r.format,generatedBy:r.generatedBy,convertedBy:r.convertedBy};if(r.trainingConfig!=null&&(n.trainingConfig=r.trainingConfig),r.weightsManifest!=null){if(!t)throw new Error("modelJSON has weightsManifest but weightSpecs is null");if(!e)throw new Error("modelJSON has weightsManifest but weightData is null");n.weightSpecs=t,n.weightData=e}return r.signature!=null&&(n.signature=r.signature),r.userDefinedMetadata!=null&&(n.userDefinedMetadata=r.userDefinedMetadata),r.modelInitializer!=null&&(n.modelInitializer=r.modelInitializer),n}async function Hp(r,t){let e,n;return r.weightsManifest!=null&&([e,n]=await t(r.weightsManifest)),NS(r,e,n)}function vi(r){if(r.modelTopology instanceof ArrayBuffer)throw new Error("Expected JSON model topology, received ArrayBuffer.");return{dateSaved:new Date,modelTopologyType:"JSON",modelTopologyBytes:r.modelTopology==null?0:P1(JSON.stringify(r.modelTopology)),weightSpecsBytes:r.weightSpecs==null?0:P1(JSON.stringify(r.weightSpecs)),weightDataBytes:r.weightData==null?0:r.weightData.byteLength}}function Wg(r){let t=[];for(let e of r)t.push(...e.weights);return t}function h4(){let r=e=>{let n=e<<13,o=0;for(;(n&8388608)===0;)o-=8388608,n<<=1;return n&=-8388609,o+=947912704,n|o},t=new Uint32Array(2048);t[0]=0;for(let e=1;e<1024;e++)t[e]=r(e);for(let e=1024;e<2048;e++)t[e]=939524096+(e-1024<<13);return t}function g4(){let r=new Uint32Array(64);r[0]=0,r[31]=1199570944,r[32]=2147483648,r[63]=3347054592;for(let t=1;t<31;t++)r[t]=t<<23;for(let t=33;t<63;t++)r[t]=2147483648+(t-32<<23);return r}function x4(){let r=new Uint32Array(64);for(let t=0;t<64;t++)r[t]=1024;return r[0]=r[32]=0,r}function y4(){let r=h4(),t=g4(),e=x4();return n=>{let o=new ArrayBuffer(4*n.length),s=new Uint32Array(o);for(let i=0;i>10]+(a&1023)]+t[a>>10];s[i]=u}return new Float32Array(o)}}var Ce=class{constructor(){this.saveRouters=[],this.loadRouters=[]}static getInstance(){return Ce.instance==null&&(Ce.instance=new Ce),Ce.instance}static registerSaveRouter(t){Ce.getInstance().saveRouters.push(t)}static registerLoadRouter(t){Ce.getInstance().loadRouters.push(t)}static getSaveHandlers(t){return Ce.getHandlers(t,"save")}static getLoadHandlers(t,e){return Ce.getHandlers(t,"load",e)}static getHandlers(t,e,n){let o=[];return(e==="load"?Ce.getInstance().loadRouters:Ce.getInstance().saveRouters).forEach(i=>{let a=i(t,n);a!==null&&o.push(a)}),o}},B1=r=>Ce.registerSaveRouter(r),V1=r=>Ce.registerLoadRouter(r),G1=r=>Ce.getSaveHandlers(r),W1=(r,t)=>Ce.getLoadHandlers(r,t);var kS="tensorflowjs",TS=1,Wu="models_store",ql="model_info_store";function U1(){if(!M().getBool("IS_BROWSER"))throw new Error("Failed to obtain IndexedDB factory because the current environmentis not a web browser.");let r=typeof window=="undefined"?self:window,t=r.indexedDB||r.mozIndexedDB||r.webkitIndexedDB||r.msIndexedDB||r.shimIndexedDB;if(t==null)throw new Error("The current browser does not appear to support IndexedDB.");return t}function ES(r){let t=r.result;t.createObjectStore(Wu,{keyPath:"modelPath"}),t.createObjectStore(ql,{keyPath:"modelPath"})}var Si=class{constructor(t){if(this.indexedDB=U1(),t==null||!t)throw new Error("For IndexedDB, modelPath must not be null, undefined or empty.");this.modelPath=t}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");return this.databaseAction(this.modelPath,t)}async load(){return this.databaseAction(this.modelPath)}databaseAction(t,e){return new Promise((n,o)=>{let s=this.indexedDB.open(kS,TS);s.onupgradeneeded=()=>ES(s),s.onsuccess=()=>{let i=s.result;if(e==null){let a=i.transaction(Wu,"readonly"),l=a.objectStore(Wu).get(this.modelPath);l.onsuccess=()=>{if(l.result==null)return i.close(),o(new Error(`Cannot find model with path '${this.modelPath}' in IndexedDB.`));n(l.result.modelArtifacts)},l.onerror=c=>(i.close(),o(l.error)),a.oncomplete=()=>i.close()}else{let a=vi(e),u=i.transaction(ql,"readwrite"),l=u.objectStore(ql),c=l.put({modelPath:this.modelPath,modelArtifactsInfo:a}),p;c.onsuccess=()=>{p=i.transaction(Wu,"readwrite");let f=p.objectStore(Wu).put({modelPath:this.modelPath,modelArtifacts:e,modelArtifactsInfo:a});f.onsuccess=()=>n({modelArtifactsInfo:a}),f.onerror=d=>{l=u.objectStore(ql);let h=l.delete(this.modelPath);h.onsuccess=()=>(i.close(),o(f.error)),h.onerror=g=>(i.close(),o(f.error))}},c.onerror=m=>(i.close(),o(c.error)),u.oncomplete=()=>{p==null?i.close():p.oncomplete=()=>i.close()}}},s.onerror=i=>o(s.error)})}};Si.URL_SCHEME="indexeddb://";var H1=r=>M().getBool("IS_BROWSER")&&!Array.isArray(r)&&r.startsWith(Si.URL_SCHEME)?b4(r.slice(Si.URL_SCHEME.length)):null;Ce.registerSaveRouter(H1);Ce.registerLoadRouter(H1);function b4(r){return new Si(r)}function w4(r){return r.startsWith(Si.URL_SCHEME)?r.slice(Si.URL_SCHEME.length):r}var Ug=class{constructor(){this.indexedDB=U1()}async listModels(){return new Promise((t,e)=>{let n=this.indexedDB.open(kS,TS);n.onupgradeneeded=()=>ES(n),n.onsuccess=()=>{let o=n.result,s=o.transaction(ql,"readonly"),a=s.objectStore(ql).getAll();a.onsuccess=()=>{let u={};for(let l of a.result)u[l.modelPath]=l.modelArtifactsInfo;t(u)},a.onerror=u=>(o.close(),e(a.error)),s.oncomplete=()=>o.close()},n.onerror=o=>e(n.error)})}async removeModel(t){return t=w4(t),new Promise((e,n)=>{let o=this.indexedDB.open(kS,TS);o.onupgradeneeded=()=>ES(o),o.onsuccess=()=>{let s=o.result,i=s.transaction(ql,"readwrite"),a=i.objectStore(ql),u=a.get(t),l;u.onsuccess=()=>{if(u.result==null)return s.close(),n(new Error(`Cannot find model with path '${t}' in IndexedDB.`));{let c=a.delete(t),p=()=>{l=s.transaction(Wu,"readwrite");let f=l.objectStore(Wu).delete(t);f.onsuccess=()=>e(u.result.modelArtifactsInfo),f.onerror=d=>n(u.error)};c.onsuccess=p,c.onerror=m=>(p(),s.close(),n(u.error))}},u.onerror=c=>(s.close(),n(u.error)),i.oncomplete=()=>{l==null?s.close():l.oncomplete=()=>s.close()}},o.onerror=s=>n(o.error)})}};var Ka="/",qp="tensorflowjs_models",q1="info",C4="model_topology",I4="weight_specs",v4="weight_data",S4="model_metadata";function K1(r){return{info:[qp,r,q1].join(Ka),topology:[qp,r,C4].join(Ka),weightSpecs:[qp,r,I4].join(Ka),weightData:[qp,r,v4].join(Ka),modelMetadata:[qp,r,S4].join(Ka)}}function j1(r){for(let t of Object.values(r))window.localStorage.removeItem(t)}function N4(r){let t=r.split(Ka);if(t.length<3)throw new Error(`Invalid key format: ${r}`);return t.slice(1,t.length-1).join(Ka)}function k4(r){return r.startsWith(Ni.URL_SCHEME)?r.slice(Ni.URL_SCHEME.length):r}var Ni=class{constructor(t){if(!M().getBool("IS_BROWSER")||typeof window=="undefined"||typeof window.localStorage=="undefined")throw new Error("The current environment does not support local storage.");if(this.LS=window.localStorage,t==null||!t)throw new Error("For local storage, modelPath must not be null, undefined or empty.");this.modelPath=t,this.keys=K1(this.modelPath)}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");{let e=JSON.stringify(t.modelTopology),n=JSON.stringify(t.weightSpecs),o=vi(t);try{this.LS.setItem(this.keys.info,JSON.stringify(o)),this.LS.setItem(this.keys.topology,e),this.LS.setItem(this.keys.weightSpecs,n),this.LS.setItem(this.keys.weightData,M1(t.weightData));let s={format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,signature:t.signature!=null?t.signature:void 0,userDefinedMetadata:t.userDefinedMetadata!=null?t.userDefinedMetadata:void 0,modelInitializer:t.modelInitializer!=null?t.modelInitializer:void 0,trainingConfig:t.trainingConfig!=null?t.trainingConfig:void 0};return this.LS.setItem(this.keys.modelMetadata,JSON.stringify(s)),{modelArtifactsInfo:o}}catch(s){throw j1(this.keys),new Error(`Failed to save model '${this.modelPath}' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=${o.modelTopologyBytes}, weightSpecsBytes=${o.weightSpecsBytes}, weightDataBytes=${o.weightDataBytes}.`)}}}async load(){let t=JSON.parse(this.LS.getItem(this.keys.info));if(t==null)throw new Error(`In local storage, there is no model with name '${this.modelPath}'`);if(t.modelTopologyType!=="JSON")throw new Error("BrowserLocalStorage does not support loading non-JSON model topology yet.");let e={},n=JSON.parse(this.LS.getItem(this.keys.topology));if(n==null)throw new Error(`In local storage, the topology of model '${this.modelPath}' is missing.`);e.modelTopology=n;let o=JSON.parse(this.LS.getItem(this.keys.weightSpecs));if(o==null)throw new Error(`In local storage, the weight specs of model '${this.modelPath}' are missing.`);e.weightSpecs=o;let s=this.LS.getItem(this.keys.modelMetadata);if(s!=null){let a=JSON.parse(s);e.format=a.format,e.generatedBy=a.generatedBy,e.convertedBy=a.convertedBy,a.signature!=null&&(e.signature=a.signature),a.userDefinedMetadata!=null&&(e.userDefinedMetadata=a.userDefinedMetadata),a.modelInitializer!=null&&(e.modelInitializer=a.modelInitializer),a.trainingConfig!=null&&(e.trainingConfig=a.trainingConfig)}let i=this.LS.getItem(this.keys.weightData);if(i==null)throw new Error(`In local storage, the binary weight values of model '${this.modelPath}' are missing.`);return e.weightData=z1(i),e}};Ni.URL_SCHEME="localstorage://";var X1=r=>M().getBool("IS_BROWSER")&&!Array.isArray(r)&&r.startsWith(Ni.URL_SCHEME)?T4(r.slice(Ni.URL_SCHEME.length)):null;Ce.registerSaveRouter(X1);Ce.registerLoadRouter(X1);function T4(r){return new Ni(r)}var Hg=class{constructor(){E(M().getBool("IS_BROWSER"),()=>"Current environment is not a web browser"),E(typeof window=="undefined"||typeof window.localStorage!="undefined",()=>"Current browser does not appear to support localStorage"),this.LS=window.localStorage}async listModels(){let t={},e=qp+Ka,n=Ka+q1;for(let o=0;o"scheme must not be undefined or null."),t.endsWith(Kp)&&(t=t.slice(0,t.indexOf(Kp))),E(t.length>0,()=>"scheme must not be an empty string.");let n=Tr.getInstance();E(n.managers[t]==null,()=>`A model store manager is already registered for scheme '${t}'.`),n.managers[t]=e}static getManager(t){let e=Tr.getInstance().managers[t];if(e==null)throw new Error(`Cannot find model manager for scheme '${t}'`);return e}static getSchemes(){return Object.keys(Tr.getInstance().managers)}};function qg(r){if(r.indexOf(Kp)===-1)throw new Error(`The url string provided does not contain a scheme. Supported schemes are: ${Tr.getSchemes().join(",")}`);return{scheme:r.split(Kp)[0],path:r.split(Kp)[1]}}async function Y1(r,t,e=!1){E(r!==t,()=>`Old path and new path are the same: '${r}'`);let n=Ce.getLoadHandlers(r);E(n.length>0,()=>`Copying failed because no load handler is found for source URL ${r}.`),E(n.length<2,()=>`Copying failed because more than one (${n.length}) load handlers for source URL ${r}.`);let o=n[0],s=Ce.getSaveHandlers(t);E(s.length>0,()=>`Copying failed because no save handler is found for destination URL ${t}.`),E(s.length<2,()=>`Copying failed because more than one (${n.length}) save handlers for destination URL ${t}.`);let i=s[0],a=qg(r).scheme,u=qg(r).path,l=a===qg(r).scheme,c=await o.load();e&&l&&await Tr.getManager(a).removeModel(u);let p=await i.save(c);return e&&!l&&await Tr.getManager(a).removeModel(u),p.modelArtifactsInfo}async function Z1(){let r=Tr.getSchemes(),t={};for(let e of r){let n=await Tr.getManager(e).listModels();for(let o in n){let s=e+Kp+o;t[s]=n[o]}}return t}async function J1(r){let t=qg(r);return Tr.getManager(t.scheme).removeModel(t.path)}async function Q1(r,t){return Y1(r,t,!1)}async function tE(r,t){return Y1(r,t,!0)}var _S=class{constructor(){this.messageName="setTimeoutCustom",this.functionRefs=[],this.handledMessageCount=0,this.hasEventListener=!1}fetch(t,e){return fetch(t,e)}now(){return performance.now()}encode(t,e){if(e!=="utf-8"&&e!=="utf8")throw new Error(`Browser's encoder only supports utf-8, but got ${e}`);return this.textEncoder==null&&(this.textEncoder=new TextEncoder),this.textEncoder.encode(t)}decode(t,e){return new TextDecoder(e).decode(t)}setTimeoutCustom(t,e){if(!window||!M().getBool("USE_SETTIMEOUTCUSTOM")){setTimeout(t,e);return}this.functionRefs.push(t),setTimeout(()=>{window.postMessage({name:this.messageName,index:this.functionRefs.length-1},"*")},e),this.hasEventListener||(this.hasEventListener=!0,window.addEventListener("message",n=>{if(n.source===window&&n.data.name===this.messageName){n.stopPropagation();let o=this.functionRefs[n.data.index];o(),this.handledMessageCount++,this.handledMessageCount===this.functionRefs.length&&(this.functionRefs=[],this.handledMessageCount=0)}},!0))}};if(M().get("IS_BROWSER")){M().setPlatform("browser",new _S);try{Tr.registerManager(Ni.URL_SCHEME,new Hg)}catch(r){}try{Tr.registerManager(Si.URL_SCHEME,new Ug)}catch(r){}}var E4={importFetch:()=>eE()},AS;var $S=class{constructor(){this.util=rE(),this.textEncoder=new this.util.TextEncoder}fetch(t,e){return M().global.fetch!=null?M().global.fetch(t,e):(AS==null&&(AS=E4.importFetch()),AS(t,e))}now(){let t=process.hrtime();return t[0]*1e3+t[1]/1e6}encode(t,e){if(e!=="utf-8"&&e!=="utf8")throw new Error(`Node built-in encoder only supports utf-8, but got ${e}`);return this.textEncoder.encode(t)}decode(t,e){return t.length===0?"":new this.util.TextDecoder(e).decode(t)}};M().get("IS_NODE")&&!M().get("IS_BROWSER")&&M().setPlatform("node",new $S);function wt(r,t="float32",e){return t=t||"float32",Bd(r),new pe(r,t,e)}function _4(r,t){let e=I(r,"x","cast");if(!Qv(t))throw new Error(`Failed to cast to unknown dtype ${t}`);if(t==="string"&&e.dtype!=="string"||t!=="string"&&e.dtype==="string")throw new Error("Only strings can be casted to strings");let n={x:e},o={dtype:t};return T.runKernel(io,n,o)}var J=k({cast_:_4});function A4(r){let e={x:I(r,"x","clone","string_or_numeric")};return T.runKernel(lo,e)}var sn=k({clone_:A4});function Kg(r,t=!1){console.log(r.toString(t))}bS();var $4={buffer:wt,cast:J,clone:sn,print:Kg};$1($4);var Er={};Gt(Er,{browserFiles:()=>oE,browserHTTPRequest:()=>aE,concatenateArrayBuffers:()=>Up,copyModel:()=>Q1,decodeWeights:()=>Vg,encodeWeights:()=>L1,fromMemory:()=>lE,fromMemorySync:()=>LS,getLoadHandlers:()=>W1,getModelArtifactsForJSON:()=>Hp,getModelArtifactsForJSONSync:()=>NS,getModelArtifactsInfoForJSON:()=>vi,getSaveHandlers:()=>G1,getWeightSpecs:()=>Wg,http:()=>Xg,isHTTPScheme:()=>jg,listModels:()=>Z1,loadWeights:()=>sE,moveModel:()=>tE,registerLoadRouter:()=>V1,registerSaveRouter:()=>B1,removeModel:()=>J1,weightsLoaderFactory:()=>OS,withSaveHandler:()=>uE,withSaveHandlerSync:()=>cE});var D4="model",R4=".json",F4=".weights.bin";function nE(r){return new Promise(t=>setTimeout(t)).then(r)}var ja=class{constructor(t){if(!M().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a browser.");t.startsWith(ja.URL_SCHEME)&&(t=t.slice(ja.URL_SCHEME.length)),(t==null||t.length===0)&&(t=D4),this.modelJsonFileName=t+R4,this.weightDataFileName=t+F4}async save(t){if(typeof document=="undefined")throw new Error("Browser downloads are not supported in this environment since `document` is not present");let e=window.URL.createObjectURL(new Blob([t.weightData],{type:"application/octet-stream"}));if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");{let n=[{paths:["./"+this.weightDataFileName],weights:t.weightSpecs}],o=Gg(t,n),s=window.URL.createObjectURL(new Blob([JSON.stringify(o)],{type:"application/json"})),i=this.modelJsonAnchor==null?document.createElement("a"):this.modelJsonAnchor;if(i.download=this.modelJsonFileName,i.href=s,await nE(()=>i.dispatchEvent(new MouseEvent("click"))),t.weightData!=null){let a=this.weightDataAnchor==null?document.createElement("a"):this.weightDataAnchor;a.download=this.weightDataFileName,a.href=e,await nE(()=>a.dispatchEvent(new MouseEvent("click")))}return{modelArtifactsInfo:vi(t)}}}};ja.URL_SCHEME="downloads://";var DS=class{constructor(t){if(t==null||t.length<1)throw new Error(`When calling browserFiles, at least 1 file is required, but received ${t}`);this.jsonFile=t[0],this.weightsFiles=t.slice(1)}async load(){return new Promise((t,e)=>{let n=new FileReader;n.onload=o=>{let s=JSON.parse(o.target.result),i=s.modelTopology;if(i==null){e(new Error(`modelTopology field is missing from file ${this.jsonFile.name}`));return}if(s.weightsManifest==null){e(new Error(`weightManifest field is missing from file ${this.jsonFile.name}`));return}if(this.weightsFiles.length===0){t({modelTopology:i});return}let u=Hp(s,l=>this.loadWeights(l));t(u)},n.onerror=o=>e(`Failed to read model topology and weights manifest JSON from file '${this.jsonFile.name}'. BrowserFiles supports loading Keras-style tf.Model artifacts only.`),n.readAsText(this.jsonFile)})}loadWeights(t){let e=[],n=[];for(let i of t)e.push(...i.weights),n.push(...i.paths);let o=this.checkManifestAndWeightFiles(t),s=n.map(i=>this.loadWeightsFile(i,o[i]));return Promise.all(s).then(i=>[e,Up(i)])}loadWeightsFile(t,e){return new Promise((n,o)=>{let s=new FileReader;s.onload=i=>{let a=i.target.result;n(a)},s.onerror=i=>o(`Failed to weights data from file of path '${t}'.`),s.readAsArrayBuffer(e)})}checkManifestAndWeightFiles(t){let e=[],n=this.weightsFiles.map(s=>SS(s.name)),o={};for(let s of t)s.paths.forEach(i=>{let a=SS(i);if(e.indexOf(a)!==-1)throw new Error(`Duplicate file basename found in weights manifest: '${a}'`);if(e.push(a),n.indexOf(a)===-1)throw new Error(`Weight file with basename '${a}' is not provided.`);o[i]=this.weightsFiles[n.indexOf(a)]});if(e.length!==this.weightsFiles.length)throw new Error(`Mismatch in the number of files in weights manifest (${e.length}) and the number of weight files provided (${this.weightsFiles.length}).`);return o}},O4=r=>M().getBool("IS_BROWSER")&&!Array.isArray(r)&&r.startsWith(ja.URL_SCHEME)?P4(r.slice(ja.URL_SCHEME.length)):null;Ce.registerSaveRouter(O4);function P4(r="model"){return new ja(r)}function oE(r){return new DS(r)}function RS(r,t,e,n){i(r),e=e==null?0:e,n=n==null?1:n,a(e,n);let o=0,s=u=>(u.then(l=>{let c=e+ ++o/r.length*(n-e);return t(c),l}),u);function i(u){E(u!=null&&Array.isArray(u)&&u.length>0,()=>"promises must be a none empty array")}function a(u,l){E(u>=0&&u<=1,()=>`Progress fraction must be in range [0, 1], but got startFraction ${u}`),E(l>=0&&l<=1,()=>`Progress fraction must be in range [0, 1], but got endFraction ${l}`),E(l>=u,()=>`startFraction must be no more than endFraction, but got startFraction ${u} and endFraction ${l}`)}return Promise.all(r.map(s))}async function FS(r,t){t==null&&(t={});let e=t.fetchFunc==null?M().platform.fetch:t.fetchFunc,n=r.map(p=>e(p,t.requestInit,{isBinary:!0})),o=0,s=.5,a=(t.onProgress==null?await Promise.all(n):await RS(n,t.onProgress,o,s)).map(p=>p.arrayBuffer()),u=.5,l=1;return t.onProgress==null?await Promise.all(a):await RS(a,t.onProgress,u,l)}async function sE(r,t="",e,n){return OS(i=>FS(i,{requestInit:n}))(r,t,e)}function OS(r){return async(t,e="",n)=>{let o=t.map(()=>!1),s={},i=n!=null?n.map(()=>!1):[],a=[];if(t.forEach((f,d)=>{let h=0;f.weights.forEach(g=>{let x="quantization"in g?g.quantization.dtype:g.dtype,b=th[x]*Zt(g.shape),w=()=>{o[d]=!0,s[d]==null&&(s[d]=[]),s[d].push({manifestEntry:g,groupOffset:h,sizeBytes:b})};n!=null?n.forEach((C,N)=>{C===g.name&&(w(),i[N]=!0)}):w(),a.push(g.name),h+=b})}),!i.every(f=>f)){let f=n.filter((d,h)=>!i[h]);throw new Error(`Could not find weights in manifest with names: ${f.join(", ")}. -Manifest JSON has weights with names: ${a.join(", ")}.`)}let u=o.reduce((f,d,h)=>(d&&f.push(h),f),[]),l=[];u.forEach(f=>{t[f].paths.forEach(d=>{let h=e+(e.endsWith("/")?"":"/")+d;l.push(h)})});let c=await r(l),p={},m=0;return u.forEach(f=>{let d=t[f].paths.length,h=0;for(let C=0;C{let N=g.slice(C.groupOffset,C.groupOffset+C.sizeBytes),_=Vg(N,[C.manifestEntry]);for(let A in _)p[A]=_[A]}),m+=d}),p}}var L4="application/octet-stream",M4="application/json",eh=class{constructor(t,e){if(this.DEFAULT_METHOD="POST",e==null&&(e={}),this.weightPathPrefix=e.weightPathPrefix,this.onProgress=e.onProgress,this.weightUrlConverter=e.weightUrlConverter,e.fetchFunc!=null?(E(typeof e.fetchFunc=="function",()=>"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"),this.fetch=e.fetchFunc):this.fetch=M().platform.fetch,E(t!=null&&t.length>0,()=>"URL path for http must not be null, undefined or empty."),Array.isArray(t)&&E(t.length===2,()=>`URL paths for http must have a length of 2, (actual length is ${t.length}).`),this.path=t,e.requestInit!=null&&e.requestInit.body!=null)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=e.requestInit||{}}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");let e=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);e.body=new FormData;let n=[{paths:["./model.weights.bin"],weights:t.weightSpecs}],o=Gg(t,n);e.body.append("model.json",new Blob([JSON.stringify(o)],{type:M4}),"model.json"),t.weightData!=null&&e.body.append("model.weights.bin",new Blob([t.weightData],{type:L4}),"model.weights.bin");let s=await this.fetch(this.path,e);if(s.ok)return{modelArtifactsInfo:vi(t),responses:[s]};throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${s.status}.`)}async load(){let t=await this.fetch(this.path,this.requestInit);if(!t.ok)throw new Error(`Request to ${this.path} failed with status code ${t.status}. Please verify this URL points to the model JSON of the model to load.`);let e;try{e=await t.json()}catch(s){let i=`Failed to parse model JSON of response from ${this.path}.`;throw this.path.endsWith(".pb")?i+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.":i+=" Please make sure the server is serving valid JSON for this request.",new Error(i)}let n=e.modelTopology,o=e.weightsManifest;if(n==null&&o==null)throw new Error(`The JSON from HTTP path ${this.path} contains neither model topology or manifest for weights.`);return Hp(e,s=>this.loadWeights(s))}async loadWeights(t){let e=Array.isArray(this.path)?this.path[1]:this.path,[n,o]=z4(e),s=this.weightPathPrefix||n,i=Wg(t),a=[],u=[];for(let c of t)for(let p of c.paths)this.weightUrlConverter!=null?u.push(this.weightUrlConverter(p)):a.push(s+p+o);this.weightUrlConverter&&a.push(...await Promise.all(u));let l=await FS(a,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress});return[i,Up(l)]}};eh.URL_SCHEME_REGEX=/^https?:\/\//;function z4(r){let t=r.lastIndexOf("/"),e=r.lastIndexOf("?"),n=r.substring(0,t),o=e>t?r.substring(e):"";return[n+"/",o]}function jg(r){return r.match(eh.URL_SCHEME_REGEX)!=null}var iE=(r,t)=>{if(typeof fetch=="undefined"&&(t==null||t.fetchFunc==null))return null;{let e=!0;if(Array.isArray(r)?e=r.every(n=>jg(n)):e=jg(r),e)return Xg(r,t)}return null};Ce.registerSaveRouter(iE);Ce.registerLoadRouter(iE);function Xg(r,t){return new eh(r,t)}function aE(r,t){return Xg(r,t)}var rh=class{constructor(t){this.modelArtifacts=t}load(){return this.modelArtifacts}},Yg=class{constructor(t){this.saveHandler=t}save(t){return this.saveHandler(t)}},PS=class{constructor(t){t.load&&(this.load=()=>Promise.resolve(t.load())),t.save&&(this.save=e=>Promise.resolve(t.save(e)))}};function lE(r,t,e,n){let o=arguments;return new PS(LS(...o))}function LS(r,t,e,n){return arguments.length===1?r.modelTopology!=null||r.weightSpecs!=null?new rh(r):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new rh({modelTopology:r})):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new rh({modelTopology:r,weightSpecs:t,weightData:e,trainingConfig:n}))}function uE(r){return new Yg(r)}function cE(r){return new Yg(r)}var fE={};Gt(fE,{confusionMatrix:()=>mE});function B4(r,t,e=!1,n=!1){let o=I(r,"a","matMul"),s=I(t,"b","matMul");[o,s]=Wt(o,s);let i={a:o,b:s},a={transposeA:e,transposeB:n};return T.runKernel(Uo,i,a)}var Lt=k({matMul_:B4});function V4(r,t,e=1,n=0,o="int32"){if(t<2)throw new Error(`Error in oneHot: depth must be >=2, but it is ${t}`);let i={indices:I(r,"indices","oneHot","int32")},a={dtype:o,depth:t,onValue:e,offValue:n};return T.runKernel(hs,i,a)}var ki=k({oneHot_:V4});function Qct(){M().set("PROD",!0)}function tpt(){M().set("DEBUG",!0)}function ept(){M().set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")}function MS(r){M().getBool("DEPRECATION_WARNINGS_ENABLED")&&console.warn(r+" You can disable deprecation warnings with tf.disableDeprecationWarnings().")}D1(MS);function rpt(){T.disposeVariables()}function ho(){return T}function nh(){return T.memory()}function npt(r){return T.profile(r)}function B(r,t){return T.tidy(r,t)}function St(r){Qd(r).forEach(e=>e.dispose())}function De(r){return T.keep(r)}function opt(r){return T.time(r)}function G4(r){return T.setBackend(r)}function spt(){return T.ready()}function ipt(){return T.backendName}function apt(r){T.removeBackend(r)}function lpt(r){return T.findBackend(r)}function upt(r){return T.findBackendFactory(r)}function jp(r,t,e=1){return T.registerBackend(r,t,e)}function pE(){return T.backend}function cpt(r,t){M().setPlatform(r,t)}function W4(r){let e={input:I(r,"input","imag")};return T.runKernel(vp,e)}var Kl=k({imag_:W4});function U4(r){let e={x:I(r,"x","neg")};return T.runKernel(ui,e)}var Ut=k({neg_:U4});function H4(r){let e={input:I(r,"input","real")};return T.runKernel(Dp,e)}var Xa=k({real_:H4});function q4(r,t,e){let n=I(r,"x","transpose");if(t==null&&(t=n.shape.map((i,a)=>a).reverse()),E(n.rank===t.length,()=>`Error in transpose: rank of input ${n.rank} must match length of perm ${t}.`),t.forEach(i=>{E(i>=0&&i`All entries in 'perm' must be between 0 and ${n.rank-1} but got ${t}`)}),n.rank<=1)return n.clone();let o={x:n},s={perm:t};return n.dtype==="complex64"?B(()=>{let i=Xa(n),a=Kl(n);return i=T.runKernel(Jn,{x:i},s),a=T.runKernel(Jn,{x:a},s),e&&(a=Ut(a)),bn(i,a)}):T.runKernel(Jn,o,s)}var Ot=k({transpose_:q4});function K4(r,t,e){let n=I(r,"labels","confusionMatrix"),o=I(t,"predictions","confusionMatrix");E(e==null||e>0&&Number.isInteger(e),()=>`If provided, numClasses must be a positive integer, but got ${e}`),E(n.rank===1,()=>`Expected the rank of labels to be 1, but got ${n.rank}`),E(o.rank===1,()=>`Expected the rank of predictions to be 1, but got ${o.rank}`),E(n.shape[0]===o.shape[0],()=>`Mismatch in the number of examples: ${n.shape[0]} vs. ${o.shape[0]}. Labels and predictions should have the same number of elements.`),E(e>0&&Number.isInteger(e),()=>`numClasses is required to be a positive integer, but got ${e}`);let s=ki(J(n,"int32"),e),i=ki(J(o,"int32"),e),a=Ot(s),u=Lt(a,i);return J(u,"int32")}var mE=k({confusionMatrix_:K4});var zr={};Gt(zr,{assertAndGetBroadcastShape:()=>Pt,getBroadcastDims:()=>dE,getReductionAxes:()=>ge});function dE(r,t){let e=r.length,n=[];for(let o=0;o1&&i===1&&n.unshift(s)}return n}function ge(r,t){let e=[];for(let n=0;n1)&&e.unshift(s)}return e}function Pt(r,t){let e=[],n=Math.max(r.length,t.length);for(let o=0;otH,fromPixelsAsync:()=>J4,toPixels:()=>Q4});function Zg(r,t,e){if(Xn(r),t!=null&&t.length!==3)throw new Error("tensor3d() requires shape to have three numbers");let n=Mr(r,e);if(n.length!==3&&n.length!==1)throw new Error("tensor3d() requires values to be number[][][] or flat/TypedArray");if(n.length===1&&t==null)throw new Error("tensor3d() requires shape to be provided when `values` are a flat array");return on(r,t,n,e)}var Uu;function hE(r,t=3){if(t>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");if(r==null)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");let e=!1,n=!1,o=!1,s=!1,i=!1,a=!1;if(r.data instanceof Uint8Array)e=!0;else if(typeof ImageData!="undefined"&&r instanceof ImageData)n=!0;else if(typeof HTMLVideoElement!="undefined"&&r instanceof HTMLVideoElement)o=!0;else if(typeof HTMLImageElement!="undefined"&&r instanceof HTMLImageElement)s=!0;else if(r.getContext!=null)i=!0;else if(typeof ImageBitmap!="undefined"&&r instanceof ImageBitmap)a=!0;else throw new Error(`pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was ${r.constructor.name}`);if(jd(qd,T.backendName)!=null){let d={pixels:r},h={numChannels:t};return T.runKernel(qd,d,h)}let[l,c]=o?[r.videoWidth,r.videoHeight]:[r.width,r.height],p;if(i)p=r.getContext("2d").getImageData(0,0,l,c).data;else if(n||e)p=r.data;else if(s||o||a){if(Uu==null)if(typeof document=="undefined")if(typeof OffscreenCanvas!="undefined"&&typeof OffscreenCanvasRenderingContext2D!="undefined")Uu=new OffscreenCanvas(1,1).getContext("2d");else throw new Error("Cannot parse input in current context. Reason: OffscreenCanvas Context2D rendering is not supported.");else Uu=document.createElement("canvas").getContext("2d",{willReadFrequently:!0});Uu.canvas.width=l,Uu.canvas.height=c,Uu.drawImage(r,0,0,l,c),p=Uu.getImageData(0,0,l,c).data}let m;if(t===4)m=new Int32Array(p);else{let d=l*c;m=new Int32Array(d*t);for(let h=0;h4||s===2)throw new Error(`toPixels only supports depth of size 1, 3 or 4 but got ${s}`);if(e.dtype!=="float32"&&e.dtype!=="int32")throw new Error(`Unsupported type for toPixels: ${e.dtype}. Please use float32 or int32 tensors.`);let i=await e.data(),a=e.dtype==="float32"?255:1,u=new Uint8ClampedArray(o*n*4);for(let l=0;l1)throw new Error(`Tensor values for a float32 Tensor must be in the range [0 - 1] but encountered ${f}.`)}else if(e.dtype==="int32"&&(f<0||f>255))throw new Error(`Tensor values for a int32 Tensor must be in the range [0 - 255] but encountered ${f}.`);s===1?(c[0]=f*a,c[1]=f*a,c[2]=f*a):c[m]=f*a}let p=l*4;u[p+0]=Math.round(c[0]),u[p+1]=Math.round(c[1]),u[p+2]=Math.round(c[2]),u[p+3]=Math.round(c[3])}if(t!=null){t.width=o,t.height=n;let l=t.getContext("2d"),c=new ImageData(u,o,n);l.putImageData(c,0,0)}return e!==r&&e.dispose(),u}var tH=k({fromPixels_:hE});var Qg={};Gt(Qg,{prepareAndValidate:()=>gE});function gE(r,t){let e=r.shape.length,n=t.shape.length;if(e<1)throw new Error(`tf.gatherND() expects the input to be rank 1 or higher, but the rank was ${e}.`);if(n<1)throw new Error(`tf.gatherND() expects the indices to be rank 1 or higher, but the rank was ${n}.`);if(t.dtype!=="int32")throw new Error(`tf.gatherND() expects the indices to be int32 type, but the dtype was ${t.dtype}.`);if(t.shape[n-1]>e)throw new Error(`index innermost dimension length must be <= tensor rank; saw: ${t.shape[n-1]} vs. ${e}`);if(Zt(r.shape)===0)throw new Error(`Requested more than 0 entries, but input is empty. Input shape: ${r.shape}.`);let o=t.shape,s=o[o.length-1],i=1;for(let p=0;pp/l),1].slice(0,s);return[u,i,l,c]}var oh={};Gt(oh,{calculateShapes:()=>xE,validateInput:()=>tx,validateUpdateShape:()=>zS});function zS(r,t,e){let n=t.rank>1?t.shape[t.rank-1]:1,o=t.rank>1?t.rank-1:1,s=`Must have updates.shape = indices.shape[:batchDim] + shape[sliceDim:], got updates.shape: ${e.shape}, indices.shape: ${t.shape}, shape: ${r}, sliceDim: ${n}, and batchDim: ${o}.`;if(e.rank1?t.shape[n-1]:1,s=e.length,i=1;for(let p=o;prH,computeFlatOffset:()=>aH,computeOutShape:()=>oH,getNormalizedAxes:()=>sH,isSliceContinous:()=>iH,maskToAxes:()=>nH,parseSliceParams:()=>VS,sliceInfo:()=>lH,startForAxis:()=>NE,startIndicesWithElidedDims:()=>IE,stopForAxis:()=>kE,stopIndicesWithElidedDims:()=>vE,stridesForAxis:()=>SE,stridesWithElidedDims:()=>bE});var BS=-2,eH=-1;function rH(r,t,e){let n=r.shape.length;E(n===t.length,()=>`Error in slice${n}D: Length of begin ${t} must match the rank of the array (${n}).`),E(n===e.length,()=>`Error in slice${n}D: Length of size ${e} must match the rank of the array (${n}).`);for(let o=0;o`Error in slice${n}D: begin[${o}] + size[${o}] (${t[o]+e[o]}) would overflow input.shape[${o}] (${r.shape[o]})`)}function nH(r){let t=[],e=0;for(;r>0;)r&1&&t.push(e),r/=2,e++;return t}function oH(r,t,e){let n=[];for(let o=0;o0){let f=t[0],d=e+1;c=IE(i,f,d,n,r),p=vE(a,f,d,o,r),m=bE(s,f,d,r)}else for(let f=0;f-1)s[a]=0;else{let u=wE(t,e,a),l=n[u];r&1<-1)s[a]=Number.MAX_SAFE_INTEGER;else{let u=wE(t,e,a),l=n[u];r&1<0?i=Number.MIN_SAFE_INTEGER:i=Number.MAX_SAFE_INTEGER);let u=n[o];return i<0&&(i+=u),i=np(0,i,u-1),i}function kE(r,t,e,n,o,s){let i=t[o],a=e[o]||1;(r&1<0?i=Number.MAX_SAFE_INTEGER:i=Number.MIN_SAFE_INTEGER);let u=n[o];return i<0&&(i+=u),a>0?i=np(0,i,u):i=np(-1,i,u-1),i}function iH(r,t,e){let n=e.length;for(let o=0;o1){n=o;break}for(let o=n+1;o0||e[o]!==r[o])return!1;return!0}function aH(r,t){let e=r.length>0?r[r.length-1]:1;for(let n=0;n{E(i!==-1,()=>"slice() does not support negative begin indexing.")});let s;return e==null?s=new Array(o).fill(-1):typeof e=="number"?s=[e,...new Array(o-1).fill(-1)]:e.lengthi>=0?i:(E(i===-1,()=>`Negative size values should be exactly -1 but got ${i} for the slice() size at index ${a}.`),r.shape[a]-n[a])),[n,s]}function lH(r,t,e,n,o,s,i,a,u){let l;if(n==null?(l=new Array(t.length),l.fill(1)):l=n,i!=null&&(i&i-1)!==0)throw new Error("Multiple ellipses in slice is not allowed.");let c=!1,p={dims:l.length,numAddAxisAfterEllipsis:0,begin:t.slice(),end:e.slice(),strides:l.slice(),beginMask:o,endMask:s,ellipsisMask:i,newAxisMask:a,shrinkAxisMask:u};for(let w=0;w0?0:-1,m.strides[w]>0?N:N-1];if(C&&m.strides[w]<=0)throw Error("only stride 1 allowed on non-range indexing.");h=h&&m.strides[w]===1;let $=!!(m.beginMask&1<=N)throw Error(`slice index ${m.begin[w]} of dimension ${w} out of bounds.`)}else m.begin[w]=yE(m.begin[w],0,m.strides[w],N,_,A),m.end[w]=yE(m.end[w],1,m.strides[w],N,_,A);let V=m.strides[w]===1&&m.begin[w]===0&&m.end[w]===N;f=f&&V,d=d&&(w===0&&m.strides[w]===1||V)}else f=f&&m.strides[w]===1&&$,d=d&&(w===0&&m.strides[w]===1||$);let F,P=!1;if(m.beginValid&&m.endValid?(F=m.end[w]-m.begin[w],P=!0):C?(F=1,P=!0):$&&N>=0&&(m.strides[w]<0?F=-N:F=N,P=!0),P){let V;F===0||F<0!=m.strides[w]<0?V=0:V=Math.trunc(F/m.strides[w])+(F%m.strides[w]!==0?1:0),g.push(V)}else g.push(-1)}for(let w=0;w=0?x.push(g[C]):C===BS&&x.push(1)}return{finalShapeSparse:x.filter((w,C)=>m.finalShapeGatherIndices[C]!==BS),finalShape:x,isIdentity:f,sliceDim0:d,isSimpleSlice:h,begin:m.begin,end:m.end,strides:m.strides}}function uH(r,t){t.beginMask=0,t.endMask=0,t.shrinkAxisMask=0;let e=0;t.beginValid=r.begin!=null,t.endValid=r.end!=null,t.begin=new Array(t.dims),t.end=new Array(t.dims),t.strides=new Array(t.dims),t.finalShapeGatherIndices=[],t.finalShapeGatherIndicesSparse=[],t.inputShapeGatherIndicesSparse=new Array(t.dims);for(let n=0;n0?s[t]:s[t+1&1];{let i=r<0?n+r:r;return is[1]?s[1]:i}}var Q={};Gt(Q,{Serializable:()=>sh,SerializationMap:()=>Ti,registerClass:()=>wn});var sh=class{getClassName(){return this.constructor.className}static fromConfig(t,e){return new t(e)}},Ti=class{constructor(){this.classNameMap={}}static getMap(){return Ti.instance==null&&(Ti.instance=new Ti),Ti.instance}static register(t){Ti.getMap().classNameMap[t.className]=[t,t.fromConfig]}};function wn(r){E(r.className!=null,()=>"Class being registered does not have the static className property defined."),E(typeof r.className=="string",()=>"className is required to be a string, but got type "+typeof r.className),E(r.className.length>0,()=>"Class being registered has an empty-string as its className, which is disallowed."),Ti.register(r)}var AE={};Gt(AE,{TEST_EPSILON_FLOAT16:()=>TE,createVideoElement:()=>gH,encodeStrings:()=>_E,expectArrayBuffersEqual:()=>hH,expectArraysClose:()=>pH,expectArraysEqual:()=>fH,expectNumbersClose:()=>EE,expectPromiseToFail:()=>mH,expectValuesInRange:()=>dH,play:()=>xH,testEpsilon:()=>ex});var cH=.001,TE=.1;function pH(r,t,e){return e==null&&(e=ex()),GS(r,t,(n,o)=>WS(n,o,e))}function ex(){return T.backend.floatPrecision()===32?cH:TE}function GS(r,t,e){let n=!0;if((hr(r)||hr(t))&&(n=!1),hr(r)&&hr(t)&&(n=!0),n){let i=r.constructor.name,a=t.constructor.name;if(i!==a)throw new Error(`Arrays are of different type. Actual: ${i}. Expected: ${a}`)}if(Array.isArray(r)&&Array.isArray(t)){let i=Mr(r),a=Mr(t);if(!An(i,a))throw new Error(`Arrays have different shapes. Actual: [${i}]. Expected: [${a}]`)}let o=hr(r)?r:zo(r),s=hr(t)?t:zo(t);if(o.length!==s.length)throw new Error(`Arrays have different lengths actual: ${o.length} vs expected: ${s.length}. +`;return m[m.length-1]=" "+m[m.length-1]+"]"+(s?"":d),m}function rh(r){let t=[];for(let e=0;e`Length of values '${o}' does not match the size inferred by the shape '${this.size}'.`)}if(e==="complex64")throw new Error("complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).");this.values=n||r0(e,this.size),this.strides=si(t)}set(t,...e){e.length===0&&(e=[0]),E(e.length===this.rank,()=>`The number of provided coordinates (${e.length}) must match the rank (${this.rank})`);let n=this.locToIndex(e);this.values[n]=t}get(...t){t.length===0&&(t=[0]);let e=0;for(let o of t){if(o<0||o>=this.shape[e]){let s=`Requested out of range element at ${t}. Buffer shape=${this.shape}`;throw new Error(s)}e++}let n=t[t.length-1];for(let o=0;oWp(n))}catch(n){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}}return t}dataToGPU(t){return this.throwIfDisposed(),Ms().readToGPU(this.dataId,t)}dataSync(){this.throwIfDisposed();let t=Ms().readSync(this.dataId);if(this.dtype==="string")try{return t.map(e=>Wp(e))}catch(e){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return t}async bytes(){this.throwIfDisposed();let t=await Ms().read(this.dataId);return this.dtype==="string"?t:new Uint8Array(t.buffer)}dispose(){this.isDisposed||(Ms().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(t=!1){return Up.print(this,t)}clone(){return this.throwIfDisposed(),Up.clone(this)}toString(t=!1){let e=this.dataSync();return R1(e,this.shape,this.dtype,t)}cast(t){return this.throwIfDisposed(),Up.cast(this,t)}variable(t=!0,e,n){return this.throwIfDisposed(),Ms().makeVariable(this,t,e,n)}};Object.defineProperty(Ft,Symbol.hasInstance,{value:r=>!!r&&r.data!=null&&r.dataSync!=null&&r.throwIfDisposed!=null});function O(){return Kd("Tensor",()=>Ft)}O();var Ka=class extends Ft{constructor(t,e,n,o){super(t.shape,t.dtype,t.dataId,o),this.trainable=e,this.name=n}assign(t){if(t.dtype!==this.dtype)throw new Error(`dtype of the new value (${t.dtype}) and previous value (${this.dtype}) must match`);if(!Dn(t.shape,this.shape))throw new Error(`shape of the new value (${t.shape}) and previous value (${this.shape}) must match`);Ms().disposeTensor(this),this.dataId=t.dataId,Ms().incRef(this,null)}dispose(){Ms().disposeVariable(this),this.isDisposedInternal=!0}};Object.defineProperty(Ka,Symbol.hasInstance,{value:r=>r instanceof Ft&&r.assign!=null&&r.assign instanceof Function});var go={};Wt(go,{assertTypesMatch:()=>I0,getTensorsInContainer:()=>nh,isTensorInList:()=>x4,makeTypesMatch:()=>Ut});var x0;(function(r){r.R0="R0",r.R1="R1",r.R2="R2",r.R3="R3",r.R4="R4",r.R5="R5",r.R6="R6"})(x0||(x0={}));var y0;(function(r){r.float32="float32",r.int32="int32",r.bool="int32",r.complex64="complex64"})(y0||(y0={}));var b0;(function(r){r.float32="float32",r.int32="int32",r.bool="bool",r.complex64="complex64"})(b0||(b0={}));var w0;(function(r){r.float32="float32",r.int32="float32",r.bool="float32",r.complex64="complex64"})(w0||(w0={}));var C0;(function(r){r.float32="complex64",r.int32="complex64",r.bool="complex64",r.complex64="complex64"})(C0||(C0={}));var g4={float32:w0,int32:y0,bool:b0,complex64:C0};function sr(r,t){if(r==="string"||t==="string"){if(r==="string"&&t==="string")return"string";throw new Error(`Can not upcast ${r} with ${t}`)}return g4[r][t]}function Wu(r){return sr(r,"int32")}function Ut(r,t){if(r.dtype===t.dtype)return[r,t];let e=sr(r.dtype,t.dtype);return[r.cast(e),t.cast(e)]}function I0(r,t){E(r.dtype===t.dtype,()=>`The dtypes of the first(${r.dtype}) and second(${t.dtype}) input must match`)}function x4(r,t){return t.some(e=>e.id===r.id)}function nh(r){let t=[];return M1(r,t,new Set),t}function M1(r,t,e){if(r==null)return;if(r instanceof Ft){t.push(r);return}if(!y4(r))return;let n=r;for(let o in n){let s=n[o];e.has(s)||(e.add(s),M1(s,t,e))}}function y4(r){return Array.isArray(r)||typeof r=="object"}function S0(r){return r.kernelName!=null}var Ug=class{constructor(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null,get kernelNames(){return Array.from(new Set(this.kernels.map(t=>t.name)))}}}dispose(){for(let t in this.registeredVariables)this.registeredVariables[t].dispose()}},ql=class{constructor(t){this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Ug}async ready(){if(this.pendingBackendInit!=null)return this.pendingBackendInit.then(()=>{});if(this.backendInstance!=null)return;let t=this.getSortedBackends();for(let e=0;e{e.setupFunc!=null&&e.setupFunc(this.backendInstance)})}disposeRegisteredKernels(t){zg(t).forEach(n=>{n.disposeFunc!=null&&n.disposeFunc(this.registry[t])})}initializeBackend(t){let e=this.registryFactory[t];if(e==null)throw new Error(`Cannot initialize backend ${t}, no registration found.`);try{let n=e.factory();if(n&&!(n instanceof zo)&&typeof n.then=="function"){let o=++this.pendingBackendInitId,s=n.then(i=>o(othis.registryFactory[e].priority-this.registryFactory[t].priority)}initializeBackendsAndReturnBest(){let t=this.getSortedBackends();for(let e=0;ethis.startScope(n),()=>this.endScope(o),()=>(o=e(),o instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),o))}scopedRun(t,e,n){t();try{let o=n();return e(),o}catch(o){throw e(),o}}nextTensorId(){return ql.nextTensorId++}nextVariableId(){return ql.nextVariableId++}clone(t){let e=k.runKernel(co,{x:t}),n={x:t},o=i=>({x:()=>{let a="float32",u={x:i},l={dtype:a};return k.runKernel(lo,u,l)}}),s=[];return this.addTapeNode(this.state.activeScope.name,n,[e],o,s,{}),e}runKernel(t,e,n){if(this.backendName==null&&this.backend,!(Jd(t,this.backendName)!=null))throw new Error(`Kernel '${t}' not registered for backend '${this.backendName}'`);return this.runKernelFunc({kernelName:t,inputs:e,attrs:n})}shouldCheckForMemLeaks(){return this.ENV.getBool("IS_TEST")}checkKernelForMemLeak(t,e,n){let o=this.backend.numDataIds(),s=0;n.forEach(u=>{s+=u.dtype==="complex64"?3:1});let i=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],a=o-e-s-i;if(a>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${a} data ids) after running '${t}'`)}runKernelFunc(t){let e,n=[],o=this.isTapeOn(),s=this.state.numBytes,i=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);let a;this.backendName==null&&this.backend;let u,l=S0(t)?t.kernelName:this.state.activeScope!=null?this.state.activeScope.name:"";if(S0(t)){let{kernelName:d,inputs:h,attrs:g}=t;this.backendName==null&&this.backend;let x=Jd(d,this.backendName);E(x!=null,()=>`Cannot find registered kernel '${d}' for backend '${this.backendName}'`),a=()=>{let b=this.backend.numDataIds();u=x.kernelFunc({inputs:h,attrs:g,backend:this.backend});let w=Array.isArray(u)?u:[u];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(d,b,w);let C=w.map(N=>N.rank!=null?N:this.makeTensorFromTensorInfo(N));if(o){let N=this.getTensorsForGradient(d,h,C);n=this.saveTensorsForBackwardMode(N)}return C}}else{let{forwardFunc:d}=t,h=g=>{!o||(n=g.map(x=>this.keep(this.clone(x))))};a=()=>{let g=this.backend.numDataIds();u=this.tidy(()=>d(this.backend,h));let x=Array.isArray(u)?u:[u];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(l,g,x),x}}let{inputs:c,attrs:p}=t,m=S0(t)?null:t.backwardsFunc,f;return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{!this.ENV.getBool("DEBUG")&&!this.state.profiling?e=a():(f=this.profiler.profileKernel(l,c,()=>a()),this.ENV.getBool("DEBUG")&&this.profiler.logKernelProfile(f),e=f.outputs)}),o&&this.addTapeNode(l,c,e,m,n,p),this.state.profiling&&this.state.activeProfile.kernels.push({name:l,bytesAdded:this.state.numBytes-s,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-i,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(c).map(d=>c[d]!=null?c[d].shape:null),outputShapes:e.map(d=>d.shape),kernelTimeMs:f.timeMs,extraInfo:f.extraInfo}),Array.isArray(u)?e:e[0]}saveTensorsForBackwardMode(t){return t.map(n=>this.keep(this.clone(n)))}getTensorsForGradient(t,e,n){let o=u0(t);if(o!=null){let s=o.inputsToSave||[],i=o.outputsToSave||[],a;o.saveAllInputs?(E(Array.isArray(e),()=>"saveAllInputs is true, expected inputs to be an array."),a=Object.keys(e).map(l=>e[l])):a=s.map(l=>e[l]);let u=n.filter((l,c)=>i[c]);return a.concat(u)}return[]}makeTensor(t,e,n,o){if(t==null)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",o=o||this.backend;let s=t;n==="string"&&Vo(t[0])&&(s=t.map(u=>Hl(u)));let i=o.write(s,e,n),a=new Ft(e,n,i,this.nextTensorId());if(this.trackTensor(a,o),n==="string"){let u=this.state.tensorInfo.get(i),l=s0(s);this.state.numBytes+=l-u.bytes,u.bytes=l}return a}makeTensorFromDataId(t,e,n,o){n=n||"float32";let s={dataId:t,shape:e,dtype:n};return this.makeTensorFromTensorInfo(s,o)}makeTensorFromTensorInfo(t,e){let{dataId:n,shape:o,dtype:s}=t,i=new Ft(o,s,n,this.nextTensorId());return this.trackTensor(i,e),i}makeVariable(t,e=!0,n,o){n=n||this.nextVariableId().toString(),o!=null&&o!==t.dtype&&(t=t.cast(o));let s=new Ka(t,e,n,this.nextTensorId());if(this.state.registeredVariables[s.name]!=null)throw new Error(`Variable with name ${s.name} was already registered`);return this.state.registeredVariables[s.name]=s,this.incRef(s,this.backend),s}trackTensor(t,e){this.state.numTensors++,t.dtype==="string"&&this.state.numStringTensors++;let n=0;t.dtype!=="complex64"&&t.dtype!=="string"&&(n=t.size*Mg(t.dtype)),this.state.numBytes+=n,this.state.tensorInfo.has(t.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(t.dataId,{backend:e||this.backend,dtype:t.dtype,shape:t.shape,bytes:n})),t instanceof Ka||this.track(t)}incRef(t,e){this.trackTensor(t,e),this.backend.incRef(t.dataId)}removeDataId(t,e){this.state.tensorInfo.has(t)&&this.state.tensorInfo.get(t).backend===e&&(this.state.tensorInfo.delete(t),this.state.numDataBuffers--)}disposeTensor(t){if(!this.state.tensorInfo.has(t.dataId))return;let e=this.state.tensorInfo.get(t.dataId);if(this.state.numTensors--,t.dtype==="string"&&(this.state.numStringTensors--,this.state.numBytes-=e.bytes),t.dtype!=="complex64"&&t.dtype!=="string"){let n=t.size*Mg(t.dtype);this.state.numBytes-=n}e.backend.disposeData(t.dataId)&&this.removeDataId(t.dataId,e.backend)}disposeVariables(){for(let t in this.state.registeredVariables){let e=this.state.registeredVariables[t];this.disposeVariable(e)}}disposeVariable(t){this.disposeTensor(t),this.state.registeredVariables[t.name]!=null&&delete this.state.registeredVariables[t.name]}memory(){let t=this.backend.memory();return t.numTensors=this.state.numTensors,t.numDataBuffers=this.state.numDataBuffers,t.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(t.unreliable=!0,t.reasons==null&&(t.reasons=[]),t.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),t}async profile(t){this.state.profiling=!0;let e=this.state.numBytes,n=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await t(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map(o=>o.totalBytesSnapshot)),this.state.activeProfile.newBytes=this.state.numBytes-e,this.state.activeProfile.newTensors=this.state.numTensors-n;for(let o of this.state.activeProfile.kernels)o.kernelTimeMs=await o.kernelTimeMs,o.extraInfo=await o.extraInfo;return this.state.activeProfile}isTapeOn(){return this.state.gradientDepth>0&&this.state.kernelDepth===0}addTapeNode(t,e,n,o,s,i){let a={id:this.state.nextTapeNodeId++,kernelName:t,inputs:e,outputs:n,saved:s},u=u0(t);u!=null&&(o=u.gradFunc),o!=null&&(a.gradient=l=>(l=l.map((c,p)=>{if(c==null){let m=n[p],f=ip(m.size,m.dtype);return this.makeTensor(f,m.shape,m.dtype)}return c}),o(l.length>1?l:l[0],s,i))),this.state.activeTape.push(a)}keep(t){return t.kept=!0,t}startTape(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++}endTape(){this.state.gradientDepth--}startScope(t){let e={track:[],name:"unnamed scope",id:this.state.nextScopeId++};t&&(e.name=t),this.state.scopeStack.push(e),this.state.activeScope=e}endScope(t){let e=nh(t),n=new Set(e.map(s=>s.id));for(let s=0;s{!s.kept&&s.scopeId===o.id&&this.track(s)})}gradients(t,e,n,o=!1){if(E(e.length>0,()=>"gradients() received an empty list of xs."),n!=null&&n.dtype!=="float32")throw new Error(`dy must have 'float32' dtype, but has '${n.dtype}'`);let s=this.scopedRun(()=>this.startTape(),()=>this.endTape(),()=>this.tidy("forward",t));E(s instanceof Ft,()=>"The result y returned by f() must be a tensor.");let i=A1(this.state.activeTape,e,s);if(!o&&i.length===0&&e.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",()=>{let a={};a[s.id]=n==null?b4(s.shape):n,$1(a,i,l=>this.tidy(l),w4);let u=e.map(l=>a[l.id]);return this.state.gradientDepth===0&&(this.state.activeTape.forEach(l=>{for(let c of l.saved)c.dispose()}),this.state.activeTape=null),{value:s,grads:u}})}customGrad(t){return E(oi(t),()=>"The f passed in customGrad(f) must be a function."),(...e)=>{E(e.every(a=>a instanceof Ft),()=>"The args passed in customGrad(f)(x1, x2,...) must all be tensors");let n,o={};e.forEach((a,u)=>{o[u]=a});let s=(a,u)=>(n=t(...e,u),E(n.value instanceof Ft,()=>"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"),E(oi(n.gradFunc),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."),n.value),i=(a,u)=>{let l=n.gradFunc(a,u),c=Array.isArray(l)?l:[l];E(c.length===e.length,()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."),E(c.every(m=>m instanceof Ft),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.");let p={};return c.forEach((m,f)=>{p[f]=()=>m}),p};return this.runKernelFunc({forwardFunc:s,backwardsFunc:i,inputs:o})}}readSync(t){return this.state.tensorInfo.get(t).backend.readSync(t)}read(t){return this.state.tensorInfo.get(t).backend.read(t)}readToGPU(t,e){return this.state.tensorInfo.get(t).backend.readToGPU(t,e)}async time(t){let e=Gu(),n=await this.backend.time(t);return n.wallMs=Gu()-e,n}track(t){return this.state.activeScope!=null&&(t.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(t)),t}get registeredVariables(){return this.state.registeredVariables}reset(){this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new Ug;for(let t in this.registry)this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null}};ql.nextTensorId=0;ql.nextVariableId=0;function b4(r){let t=Wd(Jt(r),"float32");return k.makeTensor(t,r,"float32")}function v0(){let r=l0();if(r._tfengine==null){let t=new qd(r);r._tfengine=new ql(t)}return c1(r._tfengine.ENV),O1(()=>r._tfengine),r._tfengine}var k=v0();function w4(r,t){let e={a:r,b:t};return k.runKernel(Zn,e)}var Kl={};Wt(Kl,{isBrowser:()=>T0,isMobile:()=>S4,mockIsMobile:()=>I4});function C4(){return typeof navigator!="undefined"&&navigator!=null}var N0;function I4(r){N0=r}function S4(r){if(N0!==void 0)return N0;if(r||C4()){if(r||(r=navigator),r.product==="ReactNative")return!0;let t=r.userAgent||r.vendor||(typeof window!="undefined"?window.opera:"");if(!t){let e=r;return e.userAgentData&&e.userAgentData.mobile}return/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i.test(t)||/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i.test(t.substr(0,4))}return!1}function T0(){return typeof window!="undefined"&&window.document!=null||typeof WorkerGlobalScope!="undefined"}var On=z();On.registerFlag("DEBUG",()=>!1,r=>{r&&console.warn("Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.")});On.registerFlag("IS_BROWSER",()=>T0());On.registerFlag("IS_NODE",()=>typeof process!="undefined"&&typeof process.versions!="undefined"&&typeof process.versions.node!="undefined");On.registerFlag("IS_CHROME",()=>typeof navigator!="undefined"&&navigator!=null&&navigator.userAgent!=null&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor));On.registerFlag("PROD",()=>!1);On.registerFlag("TENSORLIKE_CHECK_SHAPE_CONSISTENCY",()=>On.getBool("DEBUG"));On.registerFlag("DEPRECATION_WARNINGS_ENABLED",()=>!0);On.registerFlag("IS_TEST",()=>!1);On.registerFlag("CHECK_COMPUTATION_FOR_ERRORS",()=>!0);On.registerFlag("WRAP_TO_IMAGEBITMAP",()=>!1);On.registerFlag("ENGINE_COMPILE_ONLY",()=>!1);On.registerFlag("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU",()=>!1);On.registerFlag("USE_SETTIMEOUTCUSTOM",()=>!1);function Br(r,t){let e=r;if(xr(r))return t==="string"?[]:[r.length];if(typeof r=="object"&&"texture"in r){let o=r.channels||"RGBA";return[r.height,r.width*o.length]}if(!Array.isArray(r))return[];let n=[];for(;Array.isArray(e)||xr(e)&&t!=="string";)n.push(e.length),e=e[0];return Array.isArray(r)&&z().getBool("TENSORLIKE_CHECK_SHAPE_CONSISTENCY")&&B1(r,n,[]),n}function B1(r,t,e){if(e=e||[],!Array.isArray(r)&&!xr(r)){E(t.length===0,()=>`Element arr[${e.join("][")}] is a primitive, but should be an array/TypedArray of ${t[0]} elements`);return}E(t.length>0,()=>`Element arr[${e.join("][")}] should be a primitive, but is an array of ${r.length} elements`),E(r.length===t[0],()=>`Element arr[${e.join("][")}] should have ${t[0]} elements, but has ${r.length} elements`);let n=t.slice(1);for(let o=0;o=0&&(o=n),z1(n,o,t,e),r==null||!xr(r)&&!Array.isArray(r)&&typeof r!="number"&&typeof r!="boolean"&&typeof r!="string"){let u=r==null?"null":r.constructor.name;throw new Error(`Argument '${t}' passed to '${e}' must be a Tensor or TensorLike, but got '${u}'`)}let s=Br(r,o);!xr(r)&&!Array.isArray(r)&&(r=[r]);let a=o!=="string"?Gp(r,o):Bo(r,[],!0);return k.makeTensor(a,s,o)}function ja(r,t,e,n="numeric"){if(!Array.isArray(r))throw new Error(`Argument ${t} passed to ${e} must be a \`Tensor[]\` or \`TensorLike[]\``);return r.map((s,i)=>I(s,`${t}[${i}]`,e,n))}var k0="__op";function T(r){let t=Object.keys(r);if(t.length!==1)throw new Error(`Please provide an object with a single key (operation name) mapping to a function. Got an object with ${t.length} keys.`);let e=t[0],n=r[e];e.endsWith("_")&&(e=e.substring(0,e.length-1)),e=e+k0;let o=(...s)=>{k.startScope(e);try{let i=n(...s);return Hd(i)&&console.error("Cannot return a Promise inside of tidy."),k.endScope(i),i}catch(i){throw k.endScope(null),i}};return Object.defineProperty(o,"name",{value:e,configurable:!0}),o}function v4(r,t){let e=I(r,"real","complex"),n=I(t,"imag","complex");$e(e.shape,n.shape,`real and imag shapes, ${e.shape} and ${n.shape}, must match in call to tf.complex().`);let o={real:e,imag:n};return k.runKernel(pp,o)}var wn=T({complex_:v4});function on(r,t,e,n){if(n==null&&(n=op(r)),n==="complex64")throw new Error("Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).");if(typeof r=="object"&&"texture"in r){if(n!=="float32"&&n!=="int32")throw new Error(`Creating tensor from texture only supports 'float32'|'int32' dtype, while the dtype is ${n}.`);return r.channels=r.channels||"RGBA",k.backend.createTensorFromTexture(r,t||e,n)}if(!xr(r)&&!Array.isArray(r)&&typeof r!="number"&&typeof r!="boolean"&&typeof r!="string")throw new Error("values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray");if(t!=null){Ud(t);let o=Jt(t),s=Jt(e);E(o===s,()=>`Based on the provided shape, [${t}], the tensor should have ${o} values but has ${s}`);for(let i=0;i`Error creating a new Tensor. Inferred shape (${e}) does not match the provided shape (${t}). `)}}return!xr(r)&&!Array.isArray(r)&&(r=[r]),t=t||e,r=n!=="string"?Gp(r,n):Bo(r,[],!0),k.makeTensor(r,t,n)}function ur(r,t,e){let n=Br(r,e);return on(r,t,n,e)}var oh={float32:4,float16:2,int32:4,uint16:2,uint8:1,bool:1,complex64:8};var Hg=4;async function G1(r,t){let e=[],n=[],o=Array.isArray(r)?r.map(i=>i.name):Object.keys(r);for(let i=0;i{let m=await u.bytes(),f=m.reduce((g,x)=>g+x.length,0)+Hg*m.length,d=new Uint8Array(f),h=0;for(let g=0;g{if(t+=s.byteLength,e.push(s.byteLength===s.buffer.byteLength?s:new s.constructor(s)),!(s instanceof Float32Array||s instanceof Int32Array||s instanceof Uint8Array))throw new Error(`Unsupported TypedArray subtype: ${s.constructor.name}`)});let n=new Uint8Array(t),o=0;return e.forEach(s=>{n.set(new Uint8Array(s.buffer),o),o+=s.byteLength}),n.buffer}var E0=typeof Buffer!="undefined"&&(typeof Blob=="undefined"||typeof atob=="undefined"||typeof btoa=="undefined");function V1(r){return E0?Buffer.byteLength(r):new Blob([r]).size}function W1(r){if(E0)return Buffer.from(r).toString("base64");let t=new Uint8Array(r),e="";for(let n=0,o=t.length;n{t+=o.byteLength});let e=new Uint8Array(t),n=0;return r.forEach(o=>{e.set(new Uint8Array(o),n),n+=o.byteLength}),e.buffer}function _0(r){let t="/";for(r=r.trim();r.endsWith(t);)r=r.slice(0,r.length-1);let e=r.split(t);return e[e.length-1]}function Kg(r,t){let e={modelTopology:r.modelTopology,format:r.format,generatedBy:r.generatedBy,convertedBy:r.convertedBy,weightsManifest:t};return r.signature!=null&&(e.signature=r.signature),r.userDefinedMetadata!=null&&(e.userDefinedMetadata=r.userDefinedMetadata),r.modelInitializer!=null&&(e.modelInitializer=r.modelInitializer),r.initializerSignature!=null&&(e.initializerSignature=r.initializerSignature),r.trainingConfig!=null&&(e.trainingConfig=r.trainingConfig),e}function A0(r,t,e){let n={modelTopology:r.modelTopology,format:r.format,generatedBy:r.generatedBy,convertedBy:r.convertedBy};if(r.trainingConfig!=null&&(n.trainingConfig=r.trainingConfig),r.weightsManifest!=null){if(!t)throw new Error("modelJSON has weightsManifest but weightSpecs is null");if(!e)throw new Error("modelJSON has weightsManifest but weightData is null");n.weightSpecs=t,n.weightData=e}return r.signature!=null&&(n.signature=r.signature),r.userDefinedMetadata!=null&&(n.userDefinedMetadata=r.userDefinedMetadata),r.modelInitializer!=null&&(n.modelInitializer=r.modelInitializer),r.initializerSignature!=null&&(n.initializerSignature=r.initializerSignature),n}async function qp(r,t){let e,n;return r.weightsManifest!=null&&([e,n]=await t(r.weightsManifest)),A0(r,e,n)}function Ni(r){if(r.modelTopology instanceof ArrayBuffer)throw new Error("Expected JSON model topology, received ArrayBuffer.");return{dateSaved:new Date,modelTopologyType:"JSON",modelTopologyBytes:r.modelTopology==null?0:V1(JSON.stringify(r.modelTopology)),weightSpecsBytes:r.weightSpecs==null?0:V1(JSON.stringify(r.weightSpecs)),weightDataBytes:r.weightData==null?0:r.weightData.byteLength}}function jg(r){let t=[];for(let e of r)t.push(...e.weights);return t}function T4(){let r=e=>{let n=e<<13,o=0;for(;(n&8388608)===0;)o-=8388608,n<<=1;return n&=-8388609,o+=947912704,n|o},t=new Uint32Array(2048);t[0]=0;for(let e=1;e<1024;e++)t[e]=r(e);for(let e=1024;e<2048;e++)t[e]=939524096+(e-1024<<13);return t}function k4(){let r=new Uint32Array(64);r[0]=0,r[31]=1199570944,r[32]=2147483648,r[63]=3347054592;for(let t=1;t<31;t++)r[t]=t<<23;for(let t=33;t<63;t++)r[t]=2147483648+(t-32<<23);return r}function E4(){let r=new Uint32Array(64);for(let t=0;t<64;t++)r[t]=1024;return r[0]=r[32]=0,r}function _4(){let r=T4(),t=k4(),e=E4();return n=>{let o=new ArrayBuffer(4*n.length),s=new Uint32Array(o);for(let i=0;i>10]+(a&1023)]+t[a>>10];s[i]=u}return new Float32Array(o)}}var Ce=class{constructor(){this.saveRouters=[],this.loadRouters=[]}static getInstance(){return Ce.instance==null&&(Ce.instance=new Ce),Ce.instance}static registerSaveRouter(t){Ce.getInstance().saveRouters.push(t)}static registerLoadRouter(t){Ce.getInstance().loadRouters.push(t)}static getSaveHandlers(t){return Ce.getHandlers(t,"save")}static getLoadHandlers(t,e){return Ce.getHandlers(t,"load",e)}static getHandlers(t,e,n){let o=[];return(e==="load"?Ce.getInstance().loadRouters:Ce.getInstance().saveRouters).forEach(i=>{let a=i(t,n);a!==null&&o.push(a)}),o}},H1=r=>Ce.registerSaveRouter(r),q1=r=>Ce.registerLoadRouter(r),K1=r=>Ce.getSaveHandlers(r),j1=(r,t)=>Ce.getLoadHandlers(r,t);var $0="tensorflowjs",D0=1,Uu="models_store",jl="model_info_store";function X1(){if(!z().getBool("IS_BROWSER"))throw new Error("Failed to obtain IndexedDB factory because the current environmentis not a web browser.");let r=typeof window=="undefined"?self:window,t=r.indexedDB||r.mozIndexedDB||r.webkitIndexedDB||r.msIndexedDB||r.shimIndexedDB;if(t==null)throw new Error("The current browser does not appear to support IndexedDB.");return t}function R0(r){let t=r.result;t.createObjectStore(Uu,{keyPath:"modelPath"}),t.createObjectStore(jl,{keyPath:"modelPath"})}var Ti=class{constructor(t){if(this.indexedDB=X1(),t==null||!t)throw new Error("For IndexedDB, modelPath must not be null, undefined or empty.");this.modelPath=t}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");return this.databaseAction(this.modelPath,t)}async load(){return this.databaseAction(this.modelPath)}databaseAction(t,e){return new Promise((n,o)=>{let s=this.indexedDB.open($0,D0);s.onupgradeneeded=()=>R0(s),s.onsuccess=()=>{let i=s.result;if(e==null){let a=i.transaction(Uu,"readonly"),l=a.objectStore(Uu).get(this.modelPath);l.onsuccess=()=>{if(l.result==null)return i.close(),o(new Error(`Cannot find model with path '${this.modelPath}' in IndexedDB.`));n(l.result.modelArtifacts)},l.onerror=c=>(i.close(),o(l.error)),a.oncomplete=()=>i.close()}else{let a=Ni(e),u=i.transaction(jl,"readwrite"),l=u.objectStore(jl),c=l.put({modelPath:this.modelPath,modelArtifactsInfo:a}),p;c.onsuccess=()=>{p=i.transaction(Uu,"readwrite");let f=p.objectStore(Uu).put({modelPath:this.modelPath,modelArtifacts:e,modelArtifactsInfo:a});f.onsuccess=()=>n({modelArtifactsInfo:a}),f.onerror=d=>{l=u.objectStore(jl);let h=l.delete(this.modelPath);h.onsuccess=()=>(i.close(),o(f.error)),h.onerror=g=>(i.close(),o(f.error))}},c.onerror=m=>(i.close(),o(c.error)),u.oncomplete=()=>{p==null?i.close():p.oncomplete=()=>i.close()}}},s.onerror=i=>o(s.error)})}};Ti.URL_SCHEME="indexeddb://";var Y1=r=>z().getBool("IS_BROWSER")&&!Array.isArray(r)&&r.startsWith(Ti.URL_SCHEME)?A4(r.slice(Ti.URL_SCHEME.length)):null;Ce.registerSaveRouter(Y1);Ce.registerLoadRouter(Y1);function A4(r){return new Ti(r)}function $4(r){return r.startsWith(Ti.URL_SCHEME)?r.slice(Ti.URL_SCHEME.length):r}var Xg=class{constructor(){this.indexedDB=X1()}async listModels(){return new Promise((t,e)=>{let n=this.indexedDB.open($0,D0);n.onupgradeneeded=()=>R0(n),n.onsuccess=()=>{let o=n.result,s=o.transaction(jl,"readonly"),a=s.objectStore(jl).getAll();a.onsuccess=()=>{let u={};for(let l of a.result)u[l.modelPath]=l.modelArtifactsInfo;t(u)},a.onerror=u=>(o.close(),e(a.error)),s.oncomplete=()=>o.close()},n.onerror=o=>e(n.error)})}async removeModel(t){return t=$4(t),new Promise((e,n)=>{let o=this.indexedDB.open($0,D0);o.onupgradeneeded=()=>R0(o),o.onsuccess=()=>{let s=o.result,i=s.transaction(jl,"readwrite"),a=i.objectStore(jl),u=a.get(t),l;u.onsuccess=()=>{if(u.result==null)return s.close(),n(new Error(`Cannot find model with path '${t}' in IndexedDB.`));{let c=a.delete(t),p=()=>{l=s.transaction(Uu,"readwrite");let f=l.objectStore(Uu).delete(t);f.onsuccess=()=>e(u.result.modelArtifactsInfo),f.onerror=d=>n(u.error)};c.onsuccess=p,c.onerror=m=>(p(),s.close(),n(u.error))}},u.onerror=c=>(s.close(),n(u.error)),i.oncomplete=()=>{l==null?s.close():l.oncomplete=()=>s.close()}},o.onerror=s=>n(o.error)})}};var Xa="/",Kp="tensorflowjs_models",Z1="info",D4="model_topology",R4="weight_specs",F4="weight_data",O4="model_metadata";function J1(r){return{info:[Kp,r,Z1].join(Xa),topology:[Kp,r,D4].join(Xa),weightSpecs:[Kp,r,R4].join(Xa),weightData:[Kp,r,F4].join(Xa),modelMetadata:[Kp,r,O4].join(Xa)}}function Q1(r){for(let t of Object.values(r))window.localStorage.removeItem(t)}function P4(r){let t=r.split(Xa);if(t.length<3)throw new Error(`Invalid key format: ${r}`);return t.slice(1,t.length-1).join(Xa)}function L4(r){return r.startsWith(ki.URL_SCHEME)?r.slice(ki.URL_SCHEME.length):r}var ki=class{constructor(t){if(!z().getBool("IS_BROWSER")||typeof window=="undefined"||typeof window.localStorage=="undefined")throw new Error("The current environment does not support local storage.");if(this.LS=window.localStorage,t==null||!t)throw new Error("For local storage, modelPath must not be null, undefined or empty.");this.modelPath=t,this.keys=J1(this.modelPath)}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");{let e=JSON.stringify(t.modelTopology),n=JSON.stringify(t.weightSpecs),o=Ni(t);try{this.LS.setItem(this.keys.info,JSON.stringify(o)),this.LS.setItem(this.keys.topology,e),this.LS.setItem(this.keys.weightSpecs,n),this.LS.setItem(this.keys.weightData,W1(t.weightData));let s={format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,signature:t.signature!=null?t.signature:void 0,userDefinedMetadata:t.userDefinedMetadata!=null?t.userDefinedMetadata:void 0,modelInitializer:t.modelInitializer!=null?t.modelInitializer:void 0,initializerSignature:t.initializerSignature!=null?t.initializerSignature:void 0,trainingConfig:t.trainingConfig!=null?t.trainingConfig:void 0};return this.LS.setItem(this.keys.modelMetadata,JSON.stringify(s)),{modelArtifactsInfo:o}}catch(s){throw Q1(this.keys),new Error(`Failed to save model '${this.modelPath}' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=${o.modelTopologyBytes}, weightSpecsBytes=${o.weightSpecsBytes}, weightDataBytes=${o.weightDataBytes}.`)}}}async load(){let t=JSON.parse(this.LS.getItem(this.keys.info));if(t==null)throw new Error(`In local storage, there is no model with name '${this.modelPath}'`);if(t.modelTopologyType!=="JSON")throw new Error("BrowserLocalStorage does not support loading non-JSON model topology yet.");let e={},n=JSON.parse(this.LS.getItem(this.keys.topology));if(n==null)throw new Error(`In local storage, the topology of model '${this.modelPath}' is missing.`);e.modelTopology=n;let o=JSON.parse(this.LS.getItem(this.keys.weightSpecs));if(o==null)throw new Error(`In local storage, the weight specs of model '${this.modelPath}' are missing.`);e.weightSpecs=o;let s=this.LS.getItem(this.keys.modelMetadata);if(s!=null){let a=JSON.parse(s);e.format=a.format,e.generatedBy=a.generatedBy,e.convertedBy=a.convertedBy,a.signature!=null&&(e.signature=a.signature),a.userDefinedMetadata!=null&&(e.userDefinedMetadata=a.userDefinedMetadata),a.modelInitializer!=null&&(e.modelInitializer=a.modelInitializer),a.initializerSignature!=null&&(e.initializerSignature=a.initializerSignature),a.trainingConfig!=null&&(e.trainingConfig=a.trainingConfig)}let i=this.LS.getItem(this.keys.weightData);if(i==null)throw new Error(`In local storage, the binary weight values of model '${this.modelPath}' are missing.`);return e.weightData=U1(i),e}};ki.URL_SCHEME="localstorage://";var tE=r=>z().getBool("IS_BROWSER")&&!Array.isArray(r)&&r.startsWith(ki.URL_SCHEME)?M4(r.slice(ki.URL_SCHEME.length)):null;Ce.registerSaveRouter(tE);Ce.registerLoadRouter(tE);function M4(r){return new ki(r)}var Yg=class{constructor(){E(z().getBool("IS_BROWSER"),()=>"Current environment is not a web browser"),E(typeof window=="undefined"||typeof window.localStorage!="undefined",()=>"Current browser does not appear to support localStorage"),this.LS=window.localStorage}async listModels(){let t={},e=Kp+Xa,n=Xa+Z1;for(let o=0;o"scheme must not be undefined or null."),t.endsWith(jp)&&(t=t.slice(0,t.indexOf(jp))),E(t.length>0,()=>"scheme must not be an empty string.");let n=Er.getInstance();E(n.managers[t]==null,()=>`A model store manager is already registered for scheme '${t}'.`),n.managers[t]=e}static getManager(t){let e=Er.getInstance().managers[t];if(e==null)throw new Error(`Cannot find model manager for scheme '${t}'`);return e}static getSchemes(){return Object.keys(Er.getInstance().managers)}};function Zg(r){if(r.indexOf(jp)===-1)throw new Error(`The url string provided does not contain a scheme. Supported schemes are: ${Er.getSchemes().join(",")}`);return{scheme:r.split(jp)[0],path:r.split(jp)[1]}}async function eE(r,t,e=!1){E(r!==t,()=>`Old path and new path are the same: '${r}'`);let n=Ce.getLoadHandlers(r);E(n.length>0,()=>`Copying failed because no load handler is found for source URL ${r}.`),E(n.length<2,()=>`Copying failed because more than one (${n.length}) load handlers for source URL ${r}.`);let o=n[0],s=Ce.getSaveHandlers(t);E(s.length>0,()=>`Copying failed because no save handler is found for destination URL ${t}.`),E(s.length<2,()=>`Copying failed because more than one (${n.length}) save handlers for destination URL ${t}.`);let i=s[0],a=Zg(r).scheme,u=Zg(r).path,l=a===Zg(r).scheme,c=await o.load();e&&l&&await Er.getManager(a).removeModel(u);let p=await i.save(c);return e&&!l&&await Er.getManager(a).removeModel(u),p.modelArtifactsInfo}async function rE(){let r=Er.getSchemes(),t={};for(let e of r){let n=await Er.getManager(e).listModels();for(let o in n){let s=e+jp+o;t[s]=n[o]}}return t}async function nE(r){let t=Zg(r);return Er.getManager(t.scheme).removeModel(t.path)}async function oE(r,t){return eE(r,t,!1)}async function sE(r,t){return eE(r,t,!0)}var F0=class{constructor(){this.messageName="setTimeoutCustom",this.functionRefs=[],this.handledMessageCount=0,this.hasEventListener=!1}fetch(t,e){return fetch(t,e)}now(){return performance.now()}encode(t,e){if(e!=="utf-8"&&e!=="utf8")throw new Error(`Browser's encoder only supports utf-8, but got ${e}`);return this.textEncoder==null&&(this.textEncoder=new TextEncoder),this.textEncoder.encode(t)}decode(t,e){return new TextDecoder(e).decode(t)}setTimeoutCustom(t,e){if(typeof window=="undefined"||!z().getBool("USE_SETTIMEOUTCUSTOM")){setTimeout(t,e);return}this.functionRefs.push(t),setTimeout(()=>{window.postMessage({name:this.messageName,index:this.functionRefs.length-1},"*")},e),this.hasEventListener||(this.hasEventListener=!0,window.addEventListener("message",n=>{if(n.source===window&&n.data.name===this.messageName){n.stopPropagation();let o=this.functionRefs[n.data.index];o(),this.handledMessageCount++,this.handledMessageCount===this.functionRefs.length&&(this.functionRefs=[],this.handledMessageCount=0)}},!0))}};if(z().get("IS_BROWSER")){z().setPlatform("browser",new F0);try{Er.registerManager(ki.URL_SCHEME,new Yg)}catch(r){}try{Er.registerManager(Ti.URL_SCHEME,new Xg)}catch(r){}}var z4={importFetch:()=>iE()},O0;var P0=class{constructor(){this.util=aE(),this.textEncoder=new this.util.TextEncoder}fetch(t,e){return z().global.fetch!=null?z().global.fetch(t,e):(O0==null&&(O0=z4.importFetch()),O0(t,e))}now(){let t=process.hrtime();return t[0]*1e3+t[1]/1e6}encode(t,e){if(e!=="utf-8"&&e!=="utf8")throw new Error(`Node built-in encoder only supports utf-8, but got ${e}`);return this.textEncoder.encode(t)}decode(t,e){return t.length===0?"":new this.util.TextDecoder(e).decode(t)}};z().get("IS_NODE")&&!z().get("IS_BROWSER")&&z().setPlatform("node",new P0);function wt(r,t="float32",e){return t=t||"float32",Ud(r),new pe(r,t,e)}function B4(r,t){let e=I(r,"x","cast");if(!o0(t))throw new Error(`Failed to cast to unknown dtype ${t}`);if(t==="string"&&e.dtype!=="string"||t!=="string"&&e.dtype==="string")throw new Error("Only strings can be casted to strings");let n={x:e},o={dtype:t};return k.runKernel(lo,n,o)}var J=T({cast_:B4});function V4(r){let e={x:I(r,"x","clone","string_or_numeric")};return k.runKernel(co,e)}var sn=T({clone_:V4});function Jg(r,t=!1){console.log(r.toString(t))}v0();var G4={buffer:wt,cast:J,clone:sn,print:Jg};P1(G4);var _r={};Wt(_r,{browserFiles:()=>uE,browserHTTPRequest:()=>mE,concatenateArrayBuffers:()=>Hp,copyModel:()=>oE,decodeWeights:()=>qg,encodeWeights:()=>G1,fromMemory:()=>fE,fromMemorySync:()=>G0,getLoadHandlers:()=>j1,getModelArtifactsForJSON:()=>qp,getModelArtifactsForJSONSync:()=>A0,getModelArtifactsInfoForJSON:()=>Ni,getSaveHandlers:()=>K1,getWeightSpecs:()=>jg,http:()=>tx,isHTTPScheme:()=>Qg,listModels:()=>rE,loadWeights:()=>cE,moveModel:()=>sE,registerLoadRouter:()=>q1,registerSaveRouter:()=>H1,removeModel:()=>nE,weightsLoaderFactory:()=>B0,withSaveHandler:()=>dE,withSaveHandlerSync:()=>hE});var W4="model",U4=".json",H4=".weights.bin";function lE(r){return new Promise(t=>setTimeout(t)).then(r)}var Ya=class{constructor(t){if(!z().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a browser.");t.startsWith(Ya.URL_SCHEME)&&(t=t.slice(Ya.URL_SCHEME.length)),(t==null||t.length===0)&&(t=W4),this.modelJsonFileName=t+U4,this.weightDataFileName=t+H4}async save(t){if(typeof document=="undefined")throw new Error("Browser downloads are not supported in this environment since `document` is not present");let e=window.URL.createObjectURL(new Blob([t.weightData],{type:"application/octet-stream"}));if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");{let n=[{paths:["./"+this.weightDataFileName],weights:t.weightSpecs}],o=Kg(t,n),s=window.URL.createObjectURL(new Blob([JSON.stringify(o)],{type:"application/json"})),i=this.modelJsonAnchor==null?document.createElement("a"):this.modelJsonAnchor;if(i.download=this.modelJsonFileName,i.href=s,await lE(()=>i.dispatchEvent(new MouseEvent("click"))),t.weightData!=null){let a=this.weightDataAnchor==null?document.createElement("a"):this.weightDataAnchor;a.download=this.weightDataFileName,a.href=e,await lE(()=>a.dispatchEvent(new MouseEvent("click")))}return{modelArtifactsInfo:Ni(t)}}}};Ya.URL_SCHEME="downloads://";var L0=class{constructor(t){if(t==null||t.length<1)throw new Error(`When calling browserFiles, at least 1 file is required, but received ${t}`);this.jsonFile=t[0],this.weightsFiles=t.slice(1)}async load(){return new Promise((t,e)=>{let n=new FileReader;n.onload=o=>{let s=JSON.parse(o.target.result),i=s.modelTopology;if(i==null){e(new Error(`modelTopology field is missing from file ${this.jsonFile.name}`));return}if(s.weightsManifest==null){e(new Error(`weightManifest field is missing from file ${this.jsonFile.name}`));return}if(this.weightsFiles.length===0){t({modelTopology:i});return}let u=qp(s,l=>this.loadWeights(l));t(u)},n.onerror=o=>e(`Failed to read model topology and weights manifest JSON from file '${this.jsonFile.name}'. BrowserFiles supports loading Keras-style tf.Model artifacts only.`),n.readAsText(this.jsonFile)})}loadWeights(t){let e=[],n=[];for(let i of t)e.push(...i.weights),n.push(...i.paths);let o=this.checkManifestAndWeightFiles(t),s=n.map(i=>this.loadWeightsFile(i,o[i]));return Promise.all(s).then(i=>[e,Hp(i)])}loadWeightsFile(t,e){return new Promise((n,o)=>{let s=new FileReader;s.onload=i=>{let a=i.target.result;n(a)},s.onerror=i=>o(`Failed to weights data from file of path '${t}'.`),s.readAsArrayBuffer(e)})}checkManifestAndWeightFiles(t){let e=[],n=this.weightsFiles.map(s=>_0(s.name)),o={};for(let s of t)s.paths.forEach(i=>{let a=_0(i);if(e.indexOf(a)!==-1)throw new Error(`Duplicate file basename found in weights manifest: '${a}'`);if(e.push(a),n.indexOf(a)===-1)throw new Error(`Weight file with basename '${a}' is not provided.`);o[i]=this.weightsFiles[n.indexOf(a)]});if(e.length!==this.weightsFiles.length)throw new Error(`Mismatch in the number of files in weights manifest (${e.length}) and the number of weight files provided (${this.weightsFiles.length}).`);return o}},q4=r=>z().getBool("IS_BROWSER")&&!Array.isArray(r)&&r.startsWith(Ya.URL_SCHEME)?K4(r.slice(Ya.URL_SCHEME.length)):null;Ce.registerSaveRouter(q4);function K4(r="model"){return new Ya(r)}function uE(r){return new L0(r)}function M0(r,t,e,n){i(r),e=e==null?0:e,n=n==null?1:n,a(e,n);let o=0,s=u=>(u.then(l=>{let c=e+ ++o/r.length*(n-e);return t(c),l}),u);function i(u){E(u!=null&&Array.isArray(u)&&u.length>0,()=>"promises must be a none empty array")}function a(u,l){E(u>=0&&u<=1,()=>`Progress fraction must be in range [0, 1], but got startFraction ${u}`),E(l>=0&&l<=1,()=>`Progress fraction must be in range [0, 1], but got endFraction ${l}`),E(l>=u,()=>`startFraction must be no more than endFraction, but got startFraction ${u} and endFraction ${l}`)}return Promise.all(r.map(s))}async function z0(r,t){t==null&&(t={});let e=t.fetchFunc==null?z().platform.fetch:t.fetchFunc,n=r.map(p=>e(p,t.requestInit,{isBinary:!0})),o=0,s=.5,a=(t.onProgress==null?await Promise.all(n):await M0(n,t.onProgress,o,s)).map(p=>p.arrayBuffer()),u=.5,l=1;return t.onProgress==null?await Promise.all(a):await M0(a,t.onProgress,u,l)}async function cE(r,t="",e,n){return B0(i=>z0(i,{requestInit:n}))(r,t,e)}function B0(r){return async(t,e="",n)=>{let o=t.map(()=>!1),s={},i=n!=null?n.map(()=>!1):[],a=[];if(t.forEach((f,d)=>{let h=0;f.weights.forEach(g=>{let x="quantization"in g?g.quantization.dtype:g.dtype,b=oh[x]*Jt(g.shape),w=()=>{o[d]=!0,s[d]==null&&(s[d]=[]),s[d].push({manifestEntry:g,groupOffset:h,sizeBytes:b})};n!=null?n.forEach((C,N)=>{C===g.name&&(w(),i[N]=!0)}):w(),a.push(g.name),h+=b})}),!i.every(f=>f)){let f=n.filter((d,h)=>!i[h]);throw new Error(`Could not find weights in manifest with names: ${f.join(", ")}. +Manifest JSON has weights with names: ${a.join(", ")}.`)}let u=o.reduce((f,d,h)=>(d&&f.push(h),f),[]),l=[];u.forEach(f=>{t[f].paths.forEach(d=>{let h=e+(e.endsWith("/")?"":"/")+d;l.push(h)})});let c=await r(l),p={},m=0;return u.forEach(f=>{let d=t[f].paths.length,h=0;for(let C=0;C{let N=g.slice(C.groupOffset,C.groupOffset+C.sizeBytes),_=qg(N,[C.manifestEntry]);for(let A in _)p[A]=_[A]}),m+=d}),p}}var j4="application/octet-stream",X4="application/json",sh=class{constructor(t,e){if(this.DEFAULT_METHOD="POST",e==null&&(e={}),this.weightPathPrefix=e.weightPathPrefix,this.onProgress=e.onProgress,this.weightUrlConverter=e.weightUrlConverter,e.fetchFunc!=null?(E(typeof e.fetchFunc=="function",()=>"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"),this.fetch=e.fetchFunc):this.fetch=z().platform.fetch,E(t!=null&&t.length>0,()=>"URL path for http must not be null, undefined or empty."),Array.isArray(t)&&E(t.length===2,()=>`URL paths for http must have a length of 2, (actual length is ${t.length}).`),this.path=t,e.requestInit!=null&&e.requestInit.body!=null)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=e.requestInit||{}}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");let e=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);e.body=new FormData;let n=[{paths:["./model.weights.bin"],weights:t.weightSpecs}],o=Kg(t,n);e.body.append("model.json",new Blob([JSON.stringify(o)],{type:X4}),"model.json"),t.weightData!=null&&e.body.append("model.weights.bin",new Blob([t.weightData],{type:j4}),"model.weights.bin");let s=await this.fetch(this.path,e);if(s.ok)return{modelArtifactsInfo:Ni(t),responses:[s]};throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${s.status}.`)}async load(){let t=await this.fetch(this.path,this.requestInit);if(!t.ok)throw new Error(`Request to ${this.path} failed with status code ${t.status}. Please verify this URL points to the model JSON of the model to load.`);let e;try{e=await t.json()}catch(s){let i=`Failed to parse model JSON of response from ${this.path}.`;throw this.path.endsWith(".pb")?i+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.":i+=" Please make sure the server is serving valid JSON for this request.",new Error(i)}let n=e.modelTopology,o=e.weightsManifest;if(n==null&&o==null)throw new Error(`The JSON from HTTP path ${this.path} contains neither model topology or manifest for weights.`);return qp(e,s=>this.loadWeights(s))}async loadWeights(t){let e=Array.isArray(this.path)?this.path[1]:this.path,[n,o]=Y4(e),s=this.weightPathPrefix||n,i=jg(t),a=[],u=[];for(let c of t)for(let p of c.paths)this.weightUrlConverter!=null?u.push(this.weightUrlConverter(p)):a.push(s+p+o);this.weightUrlConverter&&a.push(...await Promise.all(u));let l=await z0(a,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress});return[i,Hp(l)]}};sh.URL_SCHEME_REGEX=/^https?:\/\//;function Y4(r){let t=r.lastIndexOf("/"),e=r.lastIndexOf("?"),n=r.substring(0,t),o=e>t?r.substring(e):"";return[n+"/",o]}function Qg(r){return r.match(sh.URL_SCHEME_REGEX)!=null}var pE=(r,t)=>{if(typeof fetch=="undefined"&&(t==null||t.fetchFunc==null))return null;{let e=!0;if(Array.isArray(r)?e=r.every(n=>Qg(n)):e=Qg(r),e)return tx(r,t)}return null};Ce.registerSaveRouter(pE);Ce.registerLoadRouter(pE);function tx(r,t){return new sh(r,t)}function mE(r,t){return tx(r,t)}var ih=class{constructor(t){this.modelArtifacts=t}load(){return this.modelArtifacts}},ex=class{constructor(t){this.saveHandler=t}save(t){return this.saveHandler(t)}},V0=class{constructor(t){t.load&&(this.load=()=>Promise.resolve(t.load())),t.save&&(this.save=e=>Promise.resolve(t.save(e)))}};function fE(r,t,e,n){let o=arguments;return new V0(G0(...o))}function G0(r,t,e,n){return arguments.length===1?r.modelTopology!=null||r.weightSpecs!=null?new ih(r):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new ih({modelTopology:r})):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new ih({modelTopology:r,weightSpecs:t,weightData:e,trainingConfig:n}))}function dE(r){return new ex(r)}function hE(r){return new ex(r)}var yE={};Wt(yE,{confusionMatrix:()=>xE});function Z4(r,t,e=!1,n=!1){let o=I(r,"a","matMul"),s=I(t,"b","matMul");[o,s]=Ut(o,s);let i={a:o,b:s},a={transposeA:e,transposeB:n};return k.runKernel(Ho,i,a)}var Lt=T({matMul_:Z4});function J4(r,t,e=1,n=0,o="int32"){if(t<2)throw new Error(`Error in oneHot: depth must be >=2, but it is ${t}`);let i={indices:I(r,"indices","oneHot","int32")},a={dtype:o,depth:t,onValue:e,offValue:n};return k.runKernel(gs,i,a)}var Ei=T({oneHot_:J4});function xpt(){z().set("PROD",!0)}function ypt(){z().set("DEBUG",!0)}function bpt(){z().set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")}function W0(r){z().getBool("DEPRECATION_WARNINGS_ENABLED")&&console.warn(r+" You can disable deprecation warnings with tf.disableDeprecationWarnings().")}L1(W0);function wpt(){k.disposeVariables()}function Pn(){return k}function ah(){return k.memory()}function Cpt(r){return k.profile(r)}function B(r,t){return k.tidy(r,t)}function vt(r){nh(r).forEach(e=>e.dispose())}function De(r){return k.keep(r)}function Ipt(r){return k.time(r)}function Q4(r){return k.setBackend(r)}function Spt(){return k.ready()}function vpt(){return k.backendName}function Npt(r){k.removeBackend(r)}function Tpt(r){return k.findBackend(r)}function kpt(r){return k.findBackendFactory(r)}function Xp(r,t,e=1){return k.registerBackend(r,t,e)}function gE(){return k.backend}function Ept(r,t){z().setPlatform(r,t)}function tH(r){let e={input:I(r,"input","imag")};return k.runKernel(Sp,e)}var Xl=T({imag_:tH});function eH(r){let e={x:I(r,"x","neg")};return k.runKernel(pi,e)}var Ht=T({neg_:eH});function rH(r){let e={input:I(r,"input","real")};return k.runKernel(Rp,e)}var Za=T({real_:rH});function nH(r,t,e){let n=I(r,"x","transpose");if(t==null&&(t=n.shape.map((i,a)=>a).reverse()),E(n.rank===t.length,()=>`Error in transpose: rank of input ${n.rank} must match length of perm ${t}.`),t.forEach(i=>{E(i>=0&&i`All entries in 'perm' must be between 0 and ${n.rank-1} but got ${t}`)}),n.rank<=1)return n.clone();let o={x:n},s={perm:t};return n.dtype==="complex64"?B(()=>{let i=Za(n),a=Xl(n);return i=k.runKernel(Qn,{x:i},s),a=k.runKernel(Qn,{x:a},s),e&&(a=Ht(a)),wn(i,a)}):k.runKernel(Qn,o,s)}var Ot=T({transpose_:nH});function oH(r,t,e){let n=I(r,"labels","confusionMatrix"),o=I(t,"predictions","confusionMatrix");E(e==null||e>0&&Number.isInteger(e),()=>`If provided, numClasses must be a positive integer, but got ${e}`),E(n.rank===1,()=>`Expected the rank of labels to be 1, but got ${n.rank}`),E(o.rank===1,()=>`Expected the rank of predictions to be 1, but got ${o.rank}`),E(n.shape[0]===o.shape[0],()=>`Mismatch in the number of examples: ${n.shape[0]} vs. ${o.shape[0]}. Labels and predictions should have the same number of elements.`),E(e>0&&Number.isInteger(e),()=>`numClasses is required to be a positive integer, but got ${e}`);let s=Ei(J(n,"int32"),e),i=Ei(J(o,"int32"),e),a=Ot(s),u=Lt(a,i);return J(u,"int32")}var xE=T({confusionMatrix_:oH});var Vr={};Wt(Vr,{assertAndGetBroadcastShape:()=>Pt,getBroadcastDims:()=>bE,getReductionAxes:()=>ge});function bE(r,t){let e=r.length,n=[];for(let o=0;o1&&i===1&&n.unshift(s)}return n}function ge(r,t){let e=[];for(let n=0;n1)&&e.unshift(s)}return e}function Pt(r,t){let e=[],n=Math.max(r.length,t.length);for(let o=0;opH,fromPixelsAsync:()=>uH,toPixels:()=>cH});function rx(r,t,e){if(Yn(r),t!=null&&t.length!==3)throw new Error("tensor3d() requires shape to have three numbers");let n=Br(r,e);if(n.length!==3&&n.length!==1)throw new Error("tensor3d() requires values to be number[][][] or flat/TypedArray");if(n.length===1&&t==null)throw new Error("tensor3d() requires shape to be provided when `values` are a flat array");return on(r,t,n,e)}var Hu;function wE(r,t=3){if(t>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");if(r==null)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");let e=!1,n=!1,o=!1,s=!1,i=!1,a=!1;if(r.data instanceof Uint8Array)e=!0;else if(typeof ImageData!="undefined"&&r instanceof ImageData)n=!0;else if(typeof HTMLVideoElement!="undefined"&&r instanceof HTMLVideoElement)o=!0;else if(typeof HTMLImageElement!="undefined"&&r instanceof HTMLImageElement)s=!0;else if(r.getContext!=null)i=!0;else if(typeof ImageBitmap!="undefined"&&r instanceof ImageBitmap)a=!0;else throw new Error(`pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was ${r.constructor.name}`);if(Jd(Yd,k.backendName)!=null){let d={pixels:r},h={numChannels:t};return k.runKernel(Yd,d,h)}let[l,c]=o?[r.videoWidth,r.videoHeight]:[r.width,r.height],p;if(i)p=r.getContext("2d").getImageData(0,0,l,c).data;else if(n||e)p=r.data;else if(s||o||a){if(Hu==null)if(typeof document=="undefined")if(typeof OffscreenCanvas!="undefined"&&typeof OffscreenCanvasRenderingContext2D!="undefined")Hu=new OffscreenCanvas(1,1).getContext("2d");else throw new Error("Cannot parse input in current context. Reason: OffscreenCanvas Context2D rendering is not supported.");else Hu=document.createElement("canvas").getContext("2d",{willReadFrequently:!0});Hu.canvas.width=l,Hu.canvas.height=c,Hu.drawImage(r,0,0,l,c),p=Hu.getImageData(0,0,l,c).data}let m;if(t===4)m=new Int32Array(p);else{let d=l*c;m=new Int32Array(d*t);for(let h=0;h4||s===2)throw new Error(`toPixels only supports depth of size 1, 3 or 4 but got ${s}`);if(e.dtype!=="float32"&&e.dtype!=="int32")throw new Error(`Unsupported type for toPixels: ${e.dtype}. Please use float32 or int32 tensors.`);let i=await e.data(),a=e.dtype==="float32"?255:1,u=new Uint8ClampedArray(o*n*4);for(let l=0;l1)throw new Error(`Tensor values for a float32 Tensor must be in the range [0 - 1] but encountered ${f}.`)}else if(e.dtype==="int32"&&(f<0||f>255))throw new Error(`Tensor values for a int32 Tensor must be in the range [0 - 255] but encountered ${f}.`);s===1?(c[0]=f*a,c[1]=f*a,c[2]=f*a):c[m]=f*a}let p=l*4;u[p+0]=Math.round(c[0]),u[p+1]=Math.round(c[1]),u[p+2]=Math.round(c[2]),u[p+3]=Math.round(c[3])}if(t!=null){t.width=o,t.height=n;let l=t.getContext("2d"),c=new ImageData(u,o,n);l.putImageData(c,0,0)}return e!==r&&e.dispose(),u}var pH=T({fromPixels_:wE});var ox={};Wt(ox,{prepareAndValidate:()=>CE});function CE(r,t){let e=r.shape.length,n=t.shape.length;if(e<1)throw new Error(`tf.gatherND() expects the input to be rank 1 or higher, but the rank was ${e}.`);if(n<1)throw new Error(`tf.gatherND() expects the indices to be rank 1 or higher, but the rank was ${n}.`);if(t.dtype!=="int32")throw new Error(`tf.gatherND() expects the indices to be int32 type, but the dtype was ${t.dtype}.`);if(t.shape[n-1]>e)throw new Error(`index innermost dimension length must be <= tensor rank; saw: ${t.shape[n-1]} vs. ${e}`);if(Jt(r.shape)===0)throw new Error(`Requested more than 0 entries, but input is empty. Input shape: ${r.shape}.`);let o=t.shape,s=o[o.length-1],i=1;for(let p=0;pp/l),1].slice(0,s);return[u,i,l,c]}var lh={};Wt(lh,{calculateShapes:()=>IE,validateInput:()=>sx,validateUpdateShape:()=>U0});function U0(r,t,e){let n=t.rank>1?t.shape[t.rank-1]:1,o=t.rank>1?t.rank-1:1,s=`Must have updates.shape = indices.shape[:batchDim] + shape[sliceDim:], got updates.shape: ${e.shape}, indices.shape: ${t.shape}, shape: ${r}, sliceDim: ${n}, and batchDim: ${o}.`;if(e.rank1?t.shape[n-1]:1,s=e.length,i=1;for(let p=o;pfH,computeFlatOffset:()=>yH,computeOutShape:()=>hH,getNormalizedAxes:()=>gH,isSliceContinous:()=>xH,maskToAxes:()=>dH,parseSliceParams:()=>q0,sliceInfo:()=>bH,startForAxis:()=>AE,startIndicesWithElidedDims:()=>kE,stopForAxis:()=>$E,stopIndicesWithElidedDims:()=>EE,stridesForAxis:()=>_E,stridesWithElidedDims:()=>vE});var H0=-2,mH=-1;function fH(r,t,e){let n=r.shape.length;E(n===t.length,()=>`Error in slice${n}D: Length of begin ${t} must match the rank of the array (${n}).`),E(n===e.length,()=>`Error in slice${n}D: Length of size ${e} must match the rank of the array (${n}).`);for(let o=0;o`Error in slice${n}D: begin[${o}] + size[${o}] (${t[o]+e[o]}) would overflow input.shape[${o}] (${r.shape[o]})`)}function dH(r){let t=[],e=0;for(;r>0;)r&1&&t.push(e),r/=2,e++;return t}function hH(r,t,e){let n=[];for(let o=0;o0){let f=t[0],d=e+1;c=kE(i,f,d,n,r),p=EE(a,f,d,o,r),m=vE(s,f,d,r)}else for(let f=0;f-1)s[a]=0;else{let u=NE(t,e,a),l=n[u];r&1<-1)s[a]=Number.MAX_SAFE_INTEGER;else{let u=NE(t,e,a),l=n[u];r&1<0?i=Number.MIN_SAFE_INTEGER:i=Number.MAX_SAFE_INTEGER);let u=n[o];return i<0&&(i+=u),i=np(0,i,u-1),i}function $E(r,t,e,n,o,s){let i=t[o],a=e[o]||1;(r&1<0?i=Number.MAX_SAFE_INTEGER:i=Number.MIN_SAFE_INTEGER);let u=n[o];return i<0&&(i+=u),a>0?i=np(0,i,u):i=np(-1,i,u-1),i}function xH(r,t,e){let n=e.length;for(let o=0;o1){n=o;break}for(let o=n+1;o0||e[o]!==r[o])return!1;return!0}function yH(r,t){let e=r.length>0?r[r.length-1]:1;for(let n=0;n{E(i!==-1,()=>"slice() does not support negative begin indexing.")});let s;return e==null?s=new Array(o).fill(-1):typeof e=="number"?s=[e,...new Array(o-1).fill(-1)]:e.lengthi>=0?i:(E(i===-1,()=>`Negative size values should be exactly -1 but got ${i} for the slice() size at index ${a}.`),r.shape[a]-n[a])),[n,s]}function bH(r,t,e,n,o,s,i,a,u){let l;if(n==null?(l=new Array(t.length),l.fill(1)):l=n,i!=null&&(i&i-1)!==0)throw new Error("Multiple ellipses in slice is not allowed.");let c=!1,p={dims:l.length,numAddAxisAfterEllipsis:0,begin:t.slice(),end:e.slice(),strides:l.slice(),beginMask:o,endMask:s,ellipsisMask:i,newAxisMask:a,shrinkAxisMask:u};for(let w=0;w0?0:-1,m.strides[w]>0?N:N-1];if(C&&m.strides[w]<=0)throw Error("only stride 1 allowed on non-range indexing.");h=h&&m.strides[w]===1;let $=!!(m.beginMask&1<=N)throw Error(`slice index ${m.begin[w]} of dimension ${w} out of bounds.`)}else m.begin[w]=SE(m.begin[w],0,m.strides[w],N,_,A),m.end[w]=SE(m.end[w],1,m.strides[w],N,_,A);let V=m.strides[w]===1&&m.begin[w]===0&&m.end[w]===N;f=f&&V,d=d&&(w===0&&m.strides[w]===1||V)}else f=f&&m.strides[w]===1&&$,d=d&&(w===0&&m.strides[w]===1||$);let F,P=!1;if(m.beginValid&&m.endValid?(F=m.end[w]-m.begin[w],P=!0):C?(F=1,P=!0):$&&N>=0&&(m.strides[w]<0?F=-N:F=N,P=!0),P){let V;F===0||F<0!=m.strides[w]<0?V=0:V=Math.trunc(F/m.strides[w])+(F%m.strides[w]!==0?1:0),g.push(V)}else g.push(-1)}for(let w=0;w=0?x.push(g[C]):C===H0&&x.push(1)}return{finalShapeSparse:x.filter((w,C)=>m.finalShapeGatherIndices[C]!==H0),finalShape:x,isIdentity:f,sliceDim0:d,isSimpleSlice:h,begin:m.begin,end:m.end,strides:m.strides}}function wH(r,t){t.beginMask=0,t.endMask=0,t.shrinkAxisMask=0;let e=0;t.beginValid=r.begin!=null,t.endValid=r.end!=null,t.begin=new Array(t.dims),t.end=new Array(t.dims),t.strides=new Array(t.dims),t.finalShapeGatherIndices=[],t.finalShapeGatherIndicesSparse=[],t.inputShapeGatherIndicesSparse=new Array(t.dims);for(let n=0;n0?s[t]:s[t+1&1];{let i=r<0?n+r:r;return is[1]?s[1]:i}}var Q={};Wt(Q,{Serializable:()=>uh,SerializationMap:()=>_i,registerClass:()=>Cn});var uh=class{getClassName(){return this.constructor.className}static fromConfig(t,e){return new t(e)}},_i=class{constructor(){this.classNameMap={}}static getMap(){return _i.instance==null&&(_i.instance=new _i),_i.instance}static register(t){_i.getMap().classNameMap[t.className]=[t,t.fromConfig]}};function Cn(r){E(r.className!=null,()=>"Class being registered does not have the static className property defined."),E(typeof r.className=="string",()=>"className is required to be a string, but got type "+typeof r.className),E(r.className.length>0,()=>"Class being registered has an empty-string as its className, which is disallowed."),_i.register(r)}var OE={};Wt(OE,{TEST_EPSILON_FLOAT16:()=>DE,createVideoElement:()=>kH,encodeStrings:()=>FE,expectArrayBuffersEqual:()=>TH,expectArraysClose:()=>IH,expectArraysEqual:()=>vH,expectNumbersClose:()=>RE,expectPromiseToFail:()=>SH,expectValuesInRange:()=>NH,play:()=>EH,testEpsilon:()=>ix});var CH=.001,DE=.1;function IH(r,t,e){return e==null&&(e=ix()),K0(r,t,(n,o)=>j0(n,o,e))}function ix(){return k.backend.floatPrecision()===32?CH:DE}function K0(r,t,e){let n=!0;if((xr(r)||xr(t))&&(n=!1),xr(r)&&xr(t)&&(n=!0),n){let i=r.constructor.name,a=t.constructor.name;if(i!==a)throw new Error(`Arrays are of different type. Actual: ${i}. Expected: ${a}`)}if(Array.isArray(r)&&Array.isArray(t)){let i=Br(r),a=Br(t);if(!Dn(i,a))throw new Error(`Arrays have different shapes. Actual: [${i}]. Expected: [${a}]`)}let o=xr(r)?r:Bo(r),s=xr(t)?t:Bo(t);if(o.length!==s.length)throw new Error(`Arrays have different lengths actual: ${o.length} vs expected: ${s.length}. Actual: ${o}. Expected: ${s}.`);for(let i=0;it.fail(),()=>t()),typeof expect!="undefined"&&expect().nothing()}function fH(r,t){let e=typeof t=="string"||typeof t=="number"||typeof t=="boolean"?[t]:t;return Bo(r)||Bo(r[0])||Bo(t)||Bo(t[0])?GS(r,e,(n,o)=>n==o):GS(r,t,(n,o)=>WS(n,o,0))}function EE(r,t,e){if(e==null&&(e=ex()),!WS(r,t,e))throw new Error(`Numbers differ: actual === ${r}, expected === ${t}`);typeof expect!="undefined"&&expect().nothing()}function WS(r,t,e){return!isFinite(r)&&!isFinite(t)?!0:!(isNaN(r)||isNaN(t)||Math.abs(r-t)>e)}function dH(r,t,e){for(let n=0;ne)throw new Error(`Value out of range:${r[n]} low: ${t}, high: ${e}`)}function hH(r,t){let e=new Float32Array(r),n=new Float32Array(t);if(e.length!==n.length)throw new Error(`Expected ArrayBuffer to be of length ${n.length}, but it was ${e.length}`);for(let o=0;o{t.addEventListener("loadeddata",n=>e(t)),t.load()})}async function xH(r){await r.play(),"requestVideoFrameCallback"in r&&await new Promise(t=>{r.requestVideoFrameCallback(t)})}var $E="3.21.0";function yH(r,t){let e=I(r,"a","add"),n=I(t,"b","add");[e,n]=Wt(e,n);let o={a:e,b:n};return T.runKernel(Yn,o)}var X=k({add_:yH});function bH(r,t){let e=I(r,"a","floorDiv"),n=I(t,"b","floorDiv");[e,n]=Wt(e,n);let o={a:e,b:n};return T.runKernel(rs,o)}var Xp=k({floorDiv_:bH});function wH(r,t){let e=I(r,"a","div"),n=I(t,"b","div");if([e,n]=Wt(e,n),e.dtype==="int32"&&n.dtype==="int32")return Xp(e,n);let o={a:e,b:n},s={};return T.runKernel(Jo,o,s)}var pt=k({div_:wH});function CH(r,t){let e=I(r,"a","mul"),n=I(t,"b","mul");[e,n]=Wt(e,n);let o={a:e,b:n};return T.runKernel(ds,o)}var R=k({mul_:CH});function IH(r){let t=I(r,"x","abs");if(t.dtype==="complex64"){let e={x:t};return T.runKernel(Tl,e)}else{let e={x:t};return T.runKernel(oi,e)}}var Ee=k({abs_:IH});function vH(r){let e={x:I(r,"x","acos")};return T.runKernel(ra,e)}var rx=k({acos_:vH});function SH(r){let e={x:I(r,"x","acosh")};return T.runKernel(na,e)}var nx=k({acosh_:SH});function NH(r){E(Array.isArray(r),()=>"The argument passed to tf.addN() must be a list of tensors"),E(r.length>=1,()=>`Must pass at least one tensor to tf.addN(), but got ${r.length}`);let t=r.map((o,s)=>I(o,`tensors${s}`,"addN")),e=t[0];t.forEach(o=>{if(o.dtype!==e.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),t.forEach(o=>{if(!An(o.shape,e.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});let n=t;return T.runKernel(Vo,n)}var DE=k({addN_:NH});function kH(r,t=null,e=!1){let o={x:I(r,"x","all","bool")},s={axis:t,keepDims:e};return T.runKernel(oa,o,s)}var Yp=k({all_:kH});function TH(r,t=null,e=!1){let o={x:I(r,"x","any","bool")},s={axis:t,keepDims:e};return T.runKernel(sa,o,s)}var Hu=k({any_:TH});function EH(r,t=0){let n={x:I(r,"x","argMax")},o={axis:t};return T.runKernel(Go,n,o)}var Ei=k({argMax_:EH});function _H(r,t=0){let n={x:I(r,"x","argMin")},o={axis:t};return T.runKernel(Nl,n,o)}var ox=k({argMin_:_H});function AH(r){let e={x:I(r,"x","asin")};return T.runKernel(ia,e)}var sx=k({asin_:AH});function $H(r){let e={x:I(r,"x","asinh")};return T.runKernel(aa,e)}var ix=k({asinh_:$H});function DH(r){let e={x:I(r,"x","atan")};return T.runKernel(la,e)}var ax=k({atan_:DH});function RH(r,t){let e=I(r,"a","atan2"),n=I(t,"b","atan2");[e,n]=Wt(e,n);let o={a:e,b:n};return T.runKernel(ca,o)}var lx=k({atan2_:RH});function FH(r){let e={x:I(r,"x","atanh")};return T.runKernel(ua,e)}var ux=k({atanh_:FH});function OH(r,t,e,n,o="NHWC",s){let i=r[3],a=[...t,i],u=FE(o);return Ku(r,a,e,s,n,null,null,u)}function HS(r,t,e,n,o,s,i="channelsLast"){let[a,u]=cx(t),l;if(i==="channelsLast")l=[a,u,r[3],r[3]];else if(i==="channelsFirst")l=[a,u,r[1],r[1]];else throw new Error(`Unknown dataFormat ${i}`);return Ku(r,l,e,n,o,s,!1,i)}function PH(r,t,e,n,o,s,i="NDHWC"){let[a,u,l]=US(t),c,p;if(i==="NDHWC")p="channelsLast",c=[a,u,l,r[4],r[4]];else if(i==="NCDHW")p="channelsFirst",c=[a,u,l,r[1],r[1]];else throw new Error(`Unknown dataFormat ${i}`);return RE(r,c,e,n,o,!1,p,s)}function Ku(r,t,e,n,o,s,i=!1,a="channelsLast"){let[u,l,c,p]=[-1,-1,-1,-1];if(a==="channelsLast")[u,l,c,p]=r;else if(a==="channelsFirst")[u,p,l,c]=r;else throw new Error(`Unknown dataFormat ${a}`);let[m,f,,d]=t,[h,g]=cx(e),[x,b]=cx(n),w=Zp(m,x),C=Zp(f,b),{padInfo:N,outHeight:_,outWidth:A}=zH(o,l,c,h,g,w,C,s,a),$=i?d*p:d,F;return a==="channelsFirst"?F=[u,$,_,A]:a==="channelsLast"&&(F=[u,_,A,$]),{batchSize:u,dataFormat:a,inHeight:l,inWidth:c,inChannels:p,outHeight:_,outWidth:A,outChannels:$,padInfo:N,strideHeight:h,strideWidth:g,filterHeight:m,filterWidth:f,effectiveFilterHeight:w,effectiveFilterWidth:C,dilationHeight:x,dilationWidth:b,inShape:r,outShape:F,filterShape:t}}function RE(r,t,e,n,o,s=!1,i="channelsLast",a){let[u,l,c,p,m]=[-1,-1,-1,-1,-1];if(i==="channelsLast")[u,l,c,p,m]=r;else if(i==="channelsFirst")[u,m,l,c,p]=r;else throw new Error(`Unknown dataFormat ${i}`);let[f,d,h,,g]=t,[x,b,w]=US(e),[C,N,_]=US(n),A=Zp(f,C),$=Zp(d,N),F=Zp(h,_),{padInfo:P,outDepth:V,outHeight:G,outWidth:W}=BH(o,l,c,p,x,b,w,A,$,F,a),q=s?g*m:g,H;return i==="channelsFirst"?H=[u,q,V,G,W]:i==="channelsLast"&&(H=[u,V,G,W,q]),{batchSize:u,dataFormat:i,inDepth:l,inHeight:c,inWidth:p,inChannels:m,outDepth:V,outHeight:G,outWidth:W,outChannels:q,padInfo:P,strideDepth:x,strideHeight:b,strideWidth:w,filterDepth:f,filterHeight:d,filterWidth:h,effectiveFilterDepth:A,effectiveFilterHeight:$,effectiveFilterWidth:F,dilationDepth:C,dilationHeight:N,dilationWidth:_,inShape:r,outShape:H,filterShape:t}}function LH(r,t,e,n,o){n==null&&(n=qS(r,t,e));let s=r[0],i=r[1],a=qu((s-t+2*n)/e+1,o),u=qu((i-t+2*n)/e+1,o);return[a,u]}function MH(r,t,e,n,o,s){o==null&&(o=qS(r,t,n));let i=r[0],a=r[1],u=r[2],l=qu((i-t+2*o)/n+1,s),c=qu((a-t+2*o)/n+1,s),p=qu((u-t+2*o)/n+1,s);return[l,c,p,e]}function qS(r,t,e,n=1){let o=Zp(t,n);return Math.floor((r[0]*(e-1)-e+o)/2)}function cx(r){return typeof r=="number"?[r,r,r]:r.length===2?[r[0],r[1],1]:r}function US(r){return typeof r=="number"?[r,r,r]:r}function Zp(r,t){return t<=1?r:r+(r-1)*(t-1)}function zH(r,t,e,n,o,s,i,a,u){let l,c,p;if(typeof r=="number"){l={top:r,bottom:r,left:r,right:r,type:r===0?"VALID":"NUMBER"};let f=LH([t,e],s,n,r,a);c=f[0],p=f[1]}else if(r==="same"){c=Math.ceil(t/n),p=Math.ceil(e/o);let m=Math.max(0,(c-1)*n+s-t),f=Math.max(0,(p-1)*o+i-e),d=Math.floor(m/2),h=m-d,g=Math.floor(f/2),x=f-g;l={top:d,bottom:h,left:g,right:x,type:"SAME"}}else if(r==="valid")l={top:0,bottom:0,left:0,right:0,type:"VALID"},c=Math.ceil((t-s+1)/n),p=Math.ceil((e-i+1)/o);else if(typeof r=="object"){let m=u==="channelsLast"?r[1][0]:r[2][0],f=u==="channelsLast"?r[1][1]:r[2][1],d=u==="channelsLast"?r[2][0]:r[3][0],h=u==="channelsLast"?r[2][1]:r[3][1];l={top:m,bottom:f,left:d,right:h,type:m===0&&f===0&&d===0&&h===0?"VALID":"EXPLICIT"},c=qu((t-s+m+f)/n+1,a),p=qu((e-i+d+h)/o+1,a)}else throw Error(`Unknown padding parameter: ${r}`);return{padInfo:l,outHeight:c,outWidth:p}}function BH(r,t,e,n,o,s,i,a,u,l,c){let p,m,f,d;if(typeof r=="number"){p={top:r,bottom:r,left:r,right:r,front:r,back:r,type:r===0?"VALID":"NUMBER"};let g=MH([t,e,n,1],a,1,o,r,c);m=g[0],f=g[1],d=g[2]}else if(r==="same"){m=Math.ceil(t/o),f=Math.ceil(e/s),d=Math.ceil(n/i);let h=(m-1)*o+a-t,g=(f-1)*s+u-e,x=(d-1)*i+l-n,b=Math.floor(h/2),w=h-b,C=Math.floor(g/2),N=g-C,_=Math.floor(x/2),A=x-_;p={top:C,bottom:N,left:_,right:A,front:b,back:w,type:"SAME"}}else if(r==="valid")p={top:0,bottom:0,left:0,right:0,front:0,back:0,type:"VALID"},m=Math.ceil((t-a+1)/o),f=Math.ceil((e-u+1)/s),d=Math.ceil((n-l+1)/i);else throw Error(`Unknown padding parameter: ${r}`);return{padInfo:p,outDepth:m,outHeight:f,outWidth:d}}function qu(r,t){if(!t)return Math.trunc(r);switch(t){case"round":return Math.round(r);case"ceil":return Math.ceil(r);case"floor":return Math.floor(r);default:throw new Error(`Unknown roundingMode ${t}`)}}function Qn(r){let[t,e,n]=cx(r);return t===1&&e===1&&n===1}function _r(r,t){return Qn(r)||Qn(t)}function FE(r){if(r==="NHWC")return"channelsLast";if(r==="NCHW")return"channelsFirst";throw new Error(`Unknown dataFormat ${r}`)}function Ie(r,t,e){if(e!=null){if(typeof t=="string")throw Error(`Error in ${r}: pad must be an integer when using dimRoundingMode ${e} but got pad ${t}.`);if(typeof t=="number")E(ea(t),()=>`Error in ${r}: pad must be an integer when using dimRoundingMode ${e} but got pad ${t}.`);else if(typeof t=="object")t.forEach(n=>{n.forEach(o=>{E(ea(o),()=>`Error in ${r}: pad must be an integer when using dimRoundingMode ${e} but got pad ${o}.`)})});else throw Error(`Error in ${r}: Unknown padding parameter: ${t}`)}}function VH(r,t){let n={x:I(r,"x","reshape","string_or_numeric")},o={shape:t};return T.runKernel(mi,n,o)}var D=k({reshape_:VH});function GH(r,t,e,n,o){let s=I(r,"x","avgPool","float32"),i=1;E(_r(e,i),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${e} and dilations '${i}'`);let a=s,u=!1;s.rank===3&&(u=!0,a=D(s,[1,s.shape[0],s.shape[1],s.shape[2]])),E(a.rank===4,()=>`Error in avgPool: x must be rank 4 but got rank ${a.rank}.`),Ie("avgPool",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o},p=T.runKernel(Wo,l,c);return p=J(p,s.dtype),u?D(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var jl=k({avgPool_:GH});function WH(r,t,e,n,o,s="NDHWC"){let i=I(r,"x","avgPool3d","float32"),a=i,u=!1;i.rank===4&&(u=!0,a=D(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),E(a.rank===5,()=>`Error in avgPool3d: x must be rank 5 but got rank ${a.rank}.`),E(s==="NDHWC",()=>`Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),Ie("avgPool3d",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o,dataFormat:s},p=T.runKernel(kl,l,c);return p=J(p,a.dtype),u?D(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}var px=k({avgPool3d_:WH});function UH(r,t=0){E(r.length>=1,()=>"Pass at least one tensor to concat");let e=qa(r,"tensors","concat","string_or_numeric");if(e[0].dtype==="complex64"&&e.forEach(s=>{if(s.dtype!=="complex64")throw new Error(`Cannot concatenate complex64 tensors with a tensor - with dtype ${s.dtype}. `)}),e.length===1)return sn(e[0]);let n=e,o={axis:t};return T.runKernel(ii,n,o)}var ne=k({concat_:UH});function HH(r){let e={x:I(r,"x","sigmoid","float32")};return T.runKernel(Es,e)}var Xr=k({sigmoid_:HH});function qH(r,t,e){let n=I(r,"x","slice","string_or_numeric");if(n.rank===0)throw new Error("Slicing scalar is not possible");let o={x:n},s={begin:t,size:e};return T.runKernel(di,o,s)}var Dt=k({slice_:qH});function KH(r){let e={x:I(r,"x","tanh","float32")};return T.runKernel(Os,e)}var _i=k({tanh_:KH});function jH(r,t,e,n,o,s){let i=I(r,"forgetBias","basicLSTMCell"),a=I(t,"lstmKernel","basicLSTMCell"),u=I(e,"lstmBias","basicLSTMCell"),l=I(n,"data","basicLSTMCell"),c=I(o,"c","basicLSTMCell"),p=I(s,"h","basicLSTMCell"),m=ne([l,p],1),f=Lt(m,a),d=X(f,u),h=d.shape[0],g=d.shape[1]/4,x=[h,g],b=Dt(d,[0,0],x),w=Dt(d,[0,g],x),C=Dt(d,[0,g*2],x),N=Dt(d,[0,g*3],x),_=X(R(Xr(b),_i(w)),R(c,Xr(X(i,C)))),A=R(_i(_),Xr(N));return[_,A]}var OE=k({basicLSTMCell_:jH});function XH(r,t,e){let n=I(r,"x","batchToSpaceND"),o=t.reduce((a,u)=>a*u);E(n.rank>=1+t.length,()=>`input rank is ${n.rank} but should be > than blockShape.length ${t.length}`),E(e.length===t.length,()=>`crops.length is ${e.length} but should be equal to blockShape.length ${t.length}`),E(n.shape[0]%o===0,()=>`input tensor batch is ${n.shape[0]} but is not divisible by the product of the elements of blockShape ${t.join(" * ")} === ${o}`);let s={x:n},i={blockShape:t,crops:e};return T.runKernel(si,s,i)}var Xl=k({batchToSpaceND_:XH});function PE(r){let t;return r.rank===0||r.rank===1?t=D(r,[1,1,1,r.size]):r.rank===2?t=D(r,[1,1,r.shape[0],r.shape[1]]):r.rank===3?t=D(r,[1,r.shape[0],r.shape[1],r.shape[2]]):t=r,t}function YH(r,t,e,n,o,s){s==null&&(s=.001);let i=I(r,"x","batchNorm"),a=I(t,"mean","batchNorm"),u=I(e,"variance","batchNorm"),l;o!=null&&(l=I(o,"scale","batchNorm"));let c;n!=null&&(c=I(n,"offset","batchNorm")),E(a.rank===u.rank,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),E(c==null||a.rank===c.rank,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),E(l==null||a.rank===l.rank,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let m={x:PE(i),scale:l,offset:c,mean:a,variance:u},f={varianceEpsilon:s},d=T.runKernel(ns,m,f);return D(d,i.shape)}var Ai=k({batchNorm_:YH});function ZH(r,t,e,n,o,s){let i=I(r,"x","batchNorm"),a=I(t,"mean","batchNorm"),u=I(e,"variance","batchNorm"),l;o!=null&&(l=I(o,"scale","batchNorm"));let c;return n!=null&&(c=I(n,"offset","batchNorm")),E(i.rank===2,()=>`Error in batchNorm2D: x must be rank 2 but got rank ${i.rank}.`),E(a.rank===2||a.rank===1,()=>`Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank ${a.rank}.`),E(u.rank===2||u.rank===1,()=>`Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank ${u.rank}.`),l!=null&&E(l.rank===2||l.rank===1,()=>`Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank ${l.rank}.`),c!=null&&E(c.rank===2||c.rank===1,()=>`Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank ${c.rank}.`),Ai(i,a,u,c,l,s)}var mx=k({batchNorm2d_:ZH});function JH(r,t,e,n,o,s){let i=I(r,"x","batchNorm"),a=I(t,"mean","batchNorm"),u=I(e,"variance","batchNorm"),l;o!=null&&(l=I(o,"scale","batchNorm"));let c;return n!=null&&(c=I(n,"offset","batchNorm")),E(i.rank===3,()=>`Error in batchNorm3D: x must be rank 3 but got rank ${i.rank}.`),E(a.rank===3||a.rank===1,()=>`Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank ${a.rank}.`),E(u.rank===3||u.rank===1,()=>`Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank ${u.rank}.`),l!=null&&E(l.rank===3||l.rank===1,()=>`Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank ${l.rank}.`),c!=null&&E(c.rank===3||c.rank===1,()=>`Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank ${c.rank}.`),Ai(i,a,u,c,l,s)}var fx=k({batchNorm3d_:JH});function QH(r,t,e,n,o,s){let i=I(r,"x","batchNorm"),a=I(t,"mean","batchNorm"),u=I(e,"variance","batchNorm"),l;o!=null&&(l=I(o,"scale","batchNorm"));let c;return n!=null&&(c=I(n,"offset","batchNorm")),E(i.rank===4,()=>`Error in batchNorm4D: x must be rank 4 but got rank ${i.rank}.`),E(a.rank===4||a.rank===1,()=>`Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank ${a.rank}.`),E(u.rank===4||u.rank===1,()=>`Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank ${u.rank}.`),l!=null&&E(l.rank===4||l.rank===1,()=>`Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank ${l.rank}.`),c!=null&&E(c.rank===4||c.rank===1,()=>`Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank ${c.rank}.`),Ai(i,a,u,c,l,s)}var dx=k({batchNorm4d_:QH});function tq(r,t,e){let n=I(r,"x","bincount"),o=I(t,"weights","bincount");E(n.dtype==="int32",()=>`Error in bincount: input dtype must be int32, but got ${n.dtype}`),E(e>=0,()=>`size must be non-negative, but got ${e}.`),E(o.size===n.size||o.size===0,()=>`Error in bincount: weights must have the same size as input or0-length, but got input shape: ${n.shape}, weights shape: ${o.shape}.`);let s={x:n,weights:o},i={size:e};return T.runKernel(up,s,i)}var hx=k({bincount_:tq});function eq(r,t){let e=I(r,"s0","broadcastArgs","int32"),n=I(t,"s1","broadcastArgs","int32");if(e.rank!==1)throw new Error(`broadcastArgs(): first input must be a vector (rank=1). Has rank ${e.rank}`);if(n.rank!==1)throw new Error(`broadcastArgs(): second input must be a vector (rank=1). Has rank ${n.rank}`);let o={s0:e,s1:n};return T.runKernel(cp,o)}var LE=k({broadcastArgs_:eq});function rq(r,t){let e=I(r,"broadcastTo","x"),n=e.shape;if(t.some(l=>!(l>0)||l%1!==0))throw new Error(`broadcastTo(): Invalid broadcast shape [${t}].`);if(t.lengthe.rank){let l=e.shape.slice();for(;l.length=0;l--)if(o[l]===t[l])s[l]=1;else if(e.shape[l]!==1)throw new Error(`broadcastTo(): [${n}] cannot be broadcast to [${t}].`);if(s.map((l,c)=>l>1?c:-1).filter(l=>l>=0).length===0)return sn(e);let a={x:e},u={reps:s};return T.runKernel(Zn,a,u)}var $i=k({broadcastTo_:rq});function nq(r){let e={x:I(r,"x","ceil","float32")};return T.runKernel(Ho,e)}var gx=k({ceil_:nq});function go(r,t,e){let n={shape:r,value:t,dtype:e};return T.runKernel(Al,{},n)}function oq(r,t,e){let n=I(r,"x","clipByValue");if(E(t<=e,()=>`Error in clip: min (${t}) must be less than or equal to max (${e}).`),t===e)return go(n.shape,t,n.dtype);let o={x:n},s={clipValueMin:t,clipValueMax:e};return T.runKernel(ao,o,s)}var Cr=k({clipByValue_:oq});function sq(r){return ne(r,0)}var xx=k({concat1d_:sq});function iq(r,t){return ne(r,t)}var yx=k({concat2d_:iq});function aq(r,t){return ne(r,t)}var bx=k({concat3d_:aq});function lq(r,t){return ne(r,t)}var wx=k({concat4d_:lq});function uq(r,t,e,n,o="NHWC",s=[1,1],i){let a=I(r,"x","conv2d","float32"),u=I(t,"filter","conv2d","float32"),l=a,c=!1;a.rank===3&&(c=!0,l=D(a,[1,a.shape[0],a.shape[1],a.shape[2]])),E(l.rank===4,()=>`Error in conv2d: input must be rank 4, but got rank ${l.rank}.`),E(u.rank===4,()=>`Error in conv2d: filter must be rank 4, but got rank ${u.rank}.`),Ie("conv2d",n,i);let p=o==="NHWC"?l.shape[3]:l.shape[1];E(p===u.shape[2],()=>`Error in conv2d: depth of input (${p}) must match input depth for filter ${u.shape[2]}.`),E(_r(e,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${e} and dilations '${s}'`);let m={x:l,filter:u},f={strides:e,pad:n,dataFormat:o,dilations:s,dimRoundingMode:i},d=T.runKernel(qo,m,f);return c?D(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var Cn=k({conv2d_:uq});function cq(r,t,e,n,o="NWC",s=1,i){let a=I(r,"x","conv1d"),u=I(t,"filter","conv1d"),l=a,c=!1;a.rank===2&&(c=!0,l=D(a,[1,a.shape[0],a.shape[1]])),E(l.rank===3,()=>`Error in conv1d: input must be rank 3, but got rank ${l.rank}.`),E(u.rank===3,()=>`Error in conv1d: filter must be rank 3, but got rank ${u.rank}.`),Ie("conv1d",n,i),E(l.shape[2]===u.shape[1],()=>`Error in conv1d: depth of input (${l.shape[2]}) must match input depth for filter ${u.shape[1]}.`),E(_r(e,s),()=>`Error in conv1D: Either stride or dilation must be 1. Got stride ${e} and dilation '${s}'`),E(o==="NWC",()=>`Error in conv1d: got dataFormat of ${o} but only NWC is currently supported.`);let p=D(u,[1,u.shape[0],u.shape[1],u.shape[2]]),m=D(l,[l.shape[0],1,l.shape[1],l.shape[2]]),g=Cn(m,p,[1,e],n,"NHWC",[1,s],i);return c?D(g,[g.shape[2],g.shape[3]]):D(g,[g.shape[0],g.shape[2],g.shape[3]])}var Jp=k({conv1d_:cq});function pq(r,t,e,n,o,s="NHWC",i){E(r.length===t.rank,()=>`Length of inShape (${r.length}) and rank of dy (${t.rank}) must match`);let a=r,u=t,l=!1;t.rank===3&&(l=!0,u=D(t,[1,t.shape[0],t.shape[1],t.shape[2]]),a=[1,r[0],r[1],r[2]]),E(a.length===4,()=>`Error in conv2dDerInput: inShape must be length 4, but got length ${a.length}.`),E(u.rank===4,()=>`Error in conv2dDerInput: dy must be rank 4, but got rank ${u.rank}`),E(e.rank===4,()=>`Error in conv2dDerInput: filter must be rank 4, but got rank ${e.rank}`);let c=s==="NHWC"?a[3]:a[1],p=s==="NHWC"?u.shape[3]:u.shape[1];E(c===e.shape[2],()=>`Error in conv2dDerInput: depth of input (${c}) must match input depth for filter ${e.shape[2]}.`),E(p===e.shape[3],()=>`Error in conv2dDerInput: depth of output (${p}) must match output depth for filter ${e.shape[3]}.`),Ie("conv2dDerInput",o,i);let m={dy:u,filter:e},f={strides:n,pad:o,dataFormat:s,dimRoundingMode:i,inputShape:a},d=T.runKernel(Ko,m,f);return l?D(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var Qp=k({conv2DBackpropInput_:pq});function mq(r,t,e,n,o,s){let i=I(r,"x","conv2dTranspose"),a=I(t,"filter","conv2dTranspose");return Qp(e,i,a,n,o,"NHWC",s)}var tm=k({conv2dTranspose_:mq});function fq(r,t,e,n,o="NDHWC",s=[1,1,1]){let i=I(r,"x","conv3d"),a=I(t,"filter","conv3d"),u=i,l=!1;i.rank===4&&(l=!0,u=D(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),E(u.rank===5,()=>`Error in conv3d: input must be rank 5, but got rank ${u.rank}.`),E(a.rank===5,()=>`Error in conv3d: filter must be rank 5, but got rank ${a.rank}.`),E(u.shape[4]===a.shape[3],()=>`Error in conv3d: depth of input (${u.shape[4]}) must match input depth for filter ${a.shape[3]}.`),E(_r(e,s),()=>`Error in conv3D: Either strides or dilations must be 1. Got strides ${e} and dilations '${s}'`),E(o==="NDHWC",()=>`Error in conv3d: got dataFormat of ${o} but only NDHWC is currently supported.`);let c={x:u,filter:a},p={strides:e,pad:n,dataFormat:o,dilations:s},m=T.runKernel(El,c,p);return l?D(m,[m.shape[1],m.shape[2],m.shape[3],m.shape[4]]):m}var Cx=k({conv3d_:fq});function dq(r,t,e,n,o){E(r.length===t.rank,()=>`Length of inShape (${r.length}) and rank of dy (${t.rank}) must match`);let s=r,i=t,a=!1;t.rank===4&&(a=!0,i=D(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]]),s=[1,r[0],r[1],r[2],r[3]]);let u=s[4],l=i.shape[4];E(s.length===5,()=>`Error in conv3dDerInput: inShape must be length 5, but got length ${s.length}.`),E(i.rank===5,()=>`Error in conv3dDerInput: dy must be rank 5, but got rank ${i.rank}`),E(e.rank===5,()=>`Error in conv3dDerInput: filter must be rank 5, but got rank ${e.rank}`),E(u===e.shape[3],()=>`Error in conv3dDerInput: depth of input (${u}) must match input depth for filter ${e.shape[3]}.`),E(l===e.shape[4],()=>`Error in conv3dDerInput: depth of output (${l}) must match output depth for filter ${e.shape[4]}.`);let c={dy:i,filter:e},p={pad:o,strides:n,inputShape:s},m=T.runKernel(dp,c,p);return a?D(m,[m.shape[1],m.shape[2],m.shape[3],m.shape[4]]):m}var Ix=k({conv3DBackpropInput_:dq});function hq(r,t,e,n,o){let s=I(r,"x","conv3dTranspose"),i=I(t,"filter","conv3dTranspose");return Ix(e,s,i,n,o)}var vx=k({conv3dTranspose_:hq});function gq(r){let e={x:I(r,"x","cos","float32")};return T.runKernel(jo,e)}var Yl=k({cos_:gq});function xq(r){let e={x:I(r,"x","cosh","float32")};return T.runKernel(Xo,e)}var em=k({cosh_:xq});function yq(r,t=0,e=!1,n=!1){let s={x:I(r,"x","cumprod")},i={axis:t,exclusive:e,reverse:n};return T.runKernel(pa,s,i)}var ju=k({cumprod_:yq});function bq(r,t=0,e=!1,n=!1){let s={x:I(r,"x","cumsum")},i={axis:t,exclusive:e,reverse:n};return T.runKernel(Yo,s,i)}var rm=k({cumsum_:bq});function wq(r,t,e,n=!1){let o=I(r,"x","denseBincount"),s=I(t,"weights","denseBincount");E(o.dtype==="int32",()=>`Error in denseBincount: input dtype must be int32, but got ${o.dtype}`),E(o.rank<=2,()=>`Error in denseBincount: input must be at most rank 2, but got rank ${o.rank}.`),E(e>=0,()=>`size must be non-negative, but got ${e}.`),E(s.size===o.size||s.size===0,()=>`Error in denseBincount: weights must have the same shape as x or 0-length, but got x shape: ${o.shape}, weights shape: ${s.shape}.`);let i={x:o,weights:s},a={size:e,binaryOutput:n};return T.runKernel(hp,i,a)}var ME=k({denseBincount_:wq});function Cq(r,t,e="NHWC"){let n=I(r,"x","depthToSpace","float32"),o=e==="NHWC"?n.shape[1]:n.shape[2],s=e==="NHWC"?n.shape[2]:n.shape[3],i=e==="NHWC"?n.shape[3]:n.shape[1];E(t>1,()=>`blockSize should be > 1 for depthToSpace, but was: ${t}`),E(o*t>=0,()=>`Negative dimension size caused by overflow when multiplying +Expected: ${s}.`)}typeof expect!="undefined"&&expect().nothing()}function SH(r,t){r().then(()=>t.fail(),()=>t()),typeof expect!="undefined"&&expect().nothing()}function vH(r,t){let e=typeof t=="string"||typeof t=="number"||typeof t=="boolean"?[t]:t;return Vo(r)||Vo(r[0])||Vo(t)||Vo(t[0])?K0(r,e,(n,o)=>n==o):K0(r,t,(n,o)=>j0(n,o,0))}function RE(r,t,e){if(e==null&&(e=ix()),!j0(r,t,e))throw new Error(`Numbers differ: actual === ${r}, expected === ${t}`);typeof expect!="undefined"&&expect().nothing()}function j0(r,t,e){return!isFinite(r)&&!isFinite(t)?!0:!(isNaN(r)||isNaN(t)||Math.abs(r-t)>e)}function NH(r,t,e){for(let n=0;ne)throw new Error(`Value out of range:${r[n]} low: ${t}, high: ${e}`)}function TH(r,t){let e=new Float32Array(r),n=new Float32Array(t);if(e.length!==n.length)throw new Error(`Expected ArrayBuffer to be of length ${n.length}, but it was ${e.length}`);for(let o=0;o{t.addEventListener("loadeddata",n=>e(t)),t.load()})}async function EH(r){await r.play(),"requestVideoFrameCallback"in r&&await new Promise(t=>{r.requestVideoFrameCallback(t)})}var PE="4.0.0";function _H(r,t){let e=I(r,"a","add"),n=I(t,"b","add");[e,n]=Ut(e,n);let o={a:e,b:n};return k.runKernel(Zn,o)}var X=T({add_:_H});function AH(r,t){let e=I(r,"a","floorDiv"),n=I(t,"b","floorDiv");[e,n]=Ut(e,n);let o={a:e,b:n};return k.runKernel(ns,o)}var Yp=T({floorDiv_:AH});function $H(r,t){let e=I(r,"a","div"),n=I(t,"b","div");if([e,n]=Ut(e,n),e.dtype==="int32"&&n.dtype==="int32")return Yp(e,n);let o={a:e,b:n},s={};return k.runKernel(Qo,o,s)}var pt=T({div_:$H});function DH(r,t){let e=I(r,"a","mul"),n=I(t,"b","mul");[e,n]=Ut(e,n);let o={a:e,b:n};return k.runKernel(hs,o)}var D=T({mul_:DH});function RH(r){let t=I(r,"x","abs");if(t.dtype==="complex64"){let e={x:t};return k.runKernel(_l,e)}else{let e={x:t};return k.runKernel(ii,e)}}var Ee=T({abs_:RH});function FH(r){let e={x:I(r,"x","acos")};return k.runKernel(oa,e)}var ax=T({acos_:FH});function OH(r){let e={x:I(r,"x","acosh")};return k.runKernel(sa,e)}var lx=T({acosh_:OH});function PH(r){E(Array.isArray(r),()=>"The argument passed to tf.addN() must be a list of tensors"),E(r.length>=1,()=>`Must pass at least one tensor to tf.addN(), but got ${r.length}`);let t=r.map((o,s)=>I(o,`tensors${s}`,"addN")),e=t[0];t.forEach(o=>{if(o.dtype!==e.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),t.forEach(o=>{if(!Dn(o.shape,e.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});let n=t;return k.runKernel(Go,n)}var LE=T({addN_:PH});function LH(r,t=null,e=!1){let o={x:I(r,"x","all","bool")},s={axis:t,keepDims:e};return k.runKernel(ia,o,s)}var Zp=T({all_:LH});function MH(r,t=null,e=!1){let o={x:I(r,"x","any","bool")},s={axis:t,keepDims:e};return k.runKernel(aa,o,s)}var qu=T({any_:MH});function zH(r,t=0){let n={x:I(r,"x","argMax")},o={axis:t};return k.runKernel(Wo,n,o)}var Ai=T({argMax_:zH});function BH(r,t=0){let n={x:I(r,"x","argMin")},o={axis:t};return k.runKernel(kl,n,o)}var ux=T({argMin_:BH});function VH(r){let e={x:I(r,"x","asin")};return k.runKernel(la,e)}var cx=T({asin_:VH});function GH(r){let e={x:I(r,"x","asinh")};return k.runKernel(ua,e)}var px=T({asinh_:GH});function WH(r){let e={x:I(r,"x","atan")};return k.runKernel(ca,e)}var mx=T({atan_:WH});function UH(r,t){let e=I(r,"a","atan2"),n=I(t,"b","atan2");[e,n]=Ut(e,n);let o={a:e,b:n};return k.runKernel(ma,o)}var fx=T({atan2_:UH});function HH(r){let e={x:I(r,"x","atanh")};return k.runKernel(pa,e)}var dx=T({atanh_:HH});function qH(r,t,e,n,o="NHWC",s){let i=r[3],a=[...t,i],u=zE(o);return ju(r,a,e,s,n,null,null,u)}function Y0(r,t,e,n,o,s,i="channelsLast"){let[a,u]=hx(t),l;if(i==="channelsLast")l=[a,u,r[3],r[3]];else if(i==="channelsFirst")l=[a,u,r[1],r[1]];else throw new Error(`Unknown dataFormat ${i}`);return ju(r,l,e,n,o,s,!1,i)}function KH(r,t,e,n,o,s,i="NDHWC"){let[a,u,l]=X0(t),c,p;if(i==="NDHWC")p="channelsLast",c=[a,u,l,r[4],r[4]];else if(i==="NCDHW")p="channelsFirst",c=[a,u,l,r[1],r[1]];else throw new Error(`Unknown dataFormat ${i}`);return ME(r,c,e,n,o,!1,p,s)}function ju(r,t,e,n,o,s,i=!1,a="channelsLast"){let[u,l,c,p]=[-1,-1,-1,-1];if(a==="channelsLast")[u,l,c,p]=r;else if(a==="channelsFirst")[u,p,l,c]=r;else throw new Error(`Unknown dataFormat ${a}`);let[m,f,,d]=t,[h,g]=hx(e),[x,b]=hx(n),w=Jp(m,x),C=Jp(f,b),{padInfo:N,outHeight:_,outWidth:A}=YH(o,l,c,h,g,w,C,s,a),$=i?d*p:d,F;return a==="channelsFirst"?F=[u,$,_,A]:a==="channelsLast"&&(F=[u,_,A,$]),{batchSize:u,dataFormat:a,inHeight:l,inWidth:c,inChannels:p,outHeight:_,outWidth:A,outChannels:$,padInfo:N,strideHeight:h,strideWidth:g,filterHeight:m,filterWidth:f,effectiveFilterHeight:w,effectiveFilterWidth:C,dilationHeight:x,dilationWidth:b,inShape:r,outShape:F,filterShape:t}}function ME(r,t,e,n,o,s=!1,i="channelsLast",a){let[u,l,c,p,m]=[-1,-1,-1,-1,-1];if(i==="channelsLast")[u,l,c,p,m]=r;else if(i==="channelsFirst")[u,m,l,c,p]=r;else throw new Error(`Unknown dataFormat ${i}`);let[f,d,h,,g]=t,[x,b,w]=X0(e),[C,N,_]=X0(n),A=Jp(f,C),$=Jp(d,N),F=Jp(h,_),{padInfo:P,outDepth:V,outHeight:G,outWidth:W}=ZH(o,l,c,p,x,b,w,A,$,F,a),q=s?g*m:g,H;return i==="channelsFirst"?H=[u,q,V,G,W]:i==="channelsLast"&&(H=[u,V,G,W,q]),{batchSize:u,dataFormat:i,inDepth:l,inHeight:c,inWidth:p,inChannels:m,outDepth:V,outHeight:G,outWidth:W,outChannels:q,padInfo:P,strideDepth:x,strideHeight:b,strideWidth:w,filterDepth:f,filterHeight:d,filterWidth:h,effectiveFilterDepth:A,effectiveFilterHeight:$,effectiveFilterWidth:F,dilationDepth:C,dilationHeight:N,dilationWidth:_,inShape:r,outShape:H,filterShape:t}}function jH(r,t,e,n,o){n==null&&(n=Z0(r,t,e));let s=r[0],i=r[1],a=Ku((s-t+2*n)/e+1,o),u=Ku((i-t+2*n)/e+1,o);return[a,u]}function XH(r,t,e,n,o,s){o==null&&(o=Z0(r,t,n));let i=r[0],a=r[1],u=r[2],l=Ku((i-t+2*o)/n+1,s),c=Ku((a-t+2*o)/n+1,s),p=Ku((u-t+2*o)/n+1,s);return[l,c,p,e]}function Z0(r,t,e,n=1){let o=Jp(t,n);return Math.floor((r[0]*(e-1)-e+o)/2)}function hx(r){return typeof r=="number"?[r,r,r]:r.length===2?[r[0],r[1],1]:r}function X0(r){return typeof r=="number"?[r,r,r]:r}function Jp(r,t){return t<=1?r:r+(r-1)*(t-1)}function YH(r,t,e,n,o,s,i,a,u){let l,c,p;if(typeof r=="number"){l={top:r,bottom:r,left:r,right:r,type:r===0?"VALID":"NUMBER"};let f=jH([t,e],s,n,r,a);c=f[0],p=f[1]}else if(r==="same"){c=Math.ceil(t/n),p=Math.ceil(e/o);let m=Math.max(0,(c-1)*n+s-t),f=Math.max(0,(p-1)*o+i-e),d=Math.floor(m/2),h=m-d,g=Math.floor(f/2),x=f-g;l={top:d,bottom:h,left:g,right:x,type:"SAME"}}else if(r==="valid")l={top:0,bottom:0,left:0,right:0,type:"VALID"},c=Math.ceil((t-s+1)/n),p=Math.ceil((e-i+1)/o);else if(typeof r=="object"){let m=u==="channelsLast"?r[1][0]:r[2][0],f=u==="channelsLast"?r[1][1]:r[2][1],d=u==="channelsLast"?r[2][0]:r[3][0],h=u==="channelsLast"?r[2][1]:r[3][1];l={top:m,bottom:f,left:d,right:h,type:m===0&&f===0&&d===0&&h===0?"VALID":"EXPLICIT"},c=Ku((t-s+m+f)/n+1,a),p=Ku((e-i+d+h)/o+1,a)}else throw Error(`Unknown padding parameter: ${r}`);return{padInfo:l,outHeight:c,outWidth:p}}function ZH(r,t,e,n,o,s,i,a,u,l,c){let p,m,f,d;if(typeof r=="number"){p={top:r,bottom:r,left:r,right:r,front:r,back:r,type:r===0?"VALID":"NUMBER"};let g=XH([t,e,n,1],a,1,o,r,c);m=g[0],f=g[1],d=g[2]}else if(r==="same"){m=Math.ceil(t/o),f=Math.ceil(e/s),d=Math.ceil(n/i);let h=(m-1)*o+a-t,g=(f-1)*s+u-e,x=(d-1)*i+l-n,b=Math.floor(h/2),w=h-b,C=Math.floor(g/2),N=g-C,_=Math.floor(x/2),A=x-_;p={top:C,bottom:N,left:_,right:A,front:b,back:w,type:"SAME"}}else if(r==="valid")p={top:0,bottom:0,left:0,right:0,front:0,back:0,type:"VALID"},m=Math.ceil((t-a+1)/o),f=Math.ceil((e-u+1)/s),d=Math.ceil((n-l+1)/i);else throw Error(`Unknown padding parameter: ${r}`);return{padInfo:p,outDepth:m,outHeight:f,outWidth:d}}function Ku(r,t){if(!t)return Math.trunc(r);switch(t){case"round":return Math.round(r);case"ceil":return Math.ceil(r);case"floor":return Math.floor(r);default:throw new Error(`Unknown roundingMode ${t}`)}}function to(r){let[t,e,n]=hx(r);return t===1&&e===1&&n===1}function Ar(r,t){return to(r)||to(t)}function zE(r){if(r==="NHWC")return"channelsLast";if(r==="NCHW")return"channelsFirst";throw new Error(`Unknown dataFormat ${r}`)}function Ie(r,t,e){if(e!=null){if(typeof t=="string")throw Error(`Error in ${r}: pad must be an integer when using dimRoundingMode ${e} but got pad ${t}.`);if(typeof t=="number")E(na(t),()=>`Error in ${r}: pad must be an integer when using dimRoundingMode ${e} but got pad ${t}.`);else if(typeof t=="object")t.forEach(n=>{n.forEach(o=>{E(na(o),()=>`Error in ${r}: pad must be an integer when using dimRoundingMode ${e} but got pad ${o}.`)})});else throw Error(`Error in ${r}: Unknown padding parameter: ${t}`)}}function JH(r,t){let n={x:I(r,"x","reshape","string_or_numeric")},o={shape:t};return k.runKernel(di,n,o)}var R=T({reshape_:JH});function QH(r,t,e,n,o){let s=I(r,"x","avgPool","float32"),i=1;E(Ar(e,i),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${e} and dilations '${i}'`);let a=s,u=!1;s.rank===3&&(u=!0,a=R(s,[1,s.shape[0],s.shape[1],s.shape[2]])),E(a.rank===4,()=>`Error in avgPool: x must be rank 4 but got rank ${a.rank}.`),Ie("avgPool",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o},p=k.runKernel(Uo,l,c);return p=J(p,s.dtype),u?R(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var Yl=T({avgPool_:QH});function tq(r,t,e,n,o,s="NDHWC"){let i=I(r,"x","avgPool3d","float32"),a=i,u=!1;i.rank===4&&(u=!0,a=R(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),E(a.rank===5,()=>`Error in avgPool3d: x must be rank 5 but got rank ${a.rank}.`),E(s==="NDHWC",()=>`Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),Ie("avgPool3d",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o,dataFormat:s},p=k.runKernel(El,l,c);return p=J(p,a.dtype),u?R(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}var gx=T({avgPool3d_:tq});function eq(r,t=0){E(r.length>=1,()=>"Pass at least one tensor to concat");let e=ja(r,"tensors","concat","string_or_numeric");if(e[0].dtype==="complex64"&&e.forEach(s=>{if(s.dtype!=="complex64")throw new Error(`Cannot concatenate complex64 tensors with a tensor + with dtype ${s.dtype}. `)}),e.length===1)return sn(e[0]);let n=e,o={axis:t};return k.runKernel(li,n,o)}var ne=T({concat_:eq});function rq(r){let e={x:I(r,"x","sigmoid","float32")};return k.runKernel(_s,e)}var Yr=T({sigmoid_:rq});function nq(r,t,e){let n=I(r,"x","slice","string_or_numeric");if(n.rank===0)throw new Error("Slicing scalar is not possible");let o={x:n},s={begin:t,size:e};return k.runKernel(gi,o,s)}var Rt=T({slice_:nq});function oq(r){let e={x:I(r,"x","tanh","float32")};return k.runKernel(Ps,e)}var $i=T({tanh_:oq});function sq(r,t,e,n,o,s){let i=I(r,"forgetBias","basicLSTMCell"),a=I(t,"lstmKernel","basicLSTMCell"),u=I(e,"lstmBias","basicLSTMCell"),l=I(n,"data","basicLSTMCell"),c=I(o,"c","basicLSTMCell"),p=I(s,"h","basicLSTMCell"),m=ne([l,p],1),f=Lt(m,a),d=X(f,u),h=d.shape[0],g=d.shape[1]/4,x=[h,g],b=Rt(d,[0,0],x),w=Rt(d,[0,g],x),C=Rt(d,[0,g*2],x),N=Rt(d,[0,g*3],x),_=X(D(Yr(b),$i(w)),D(c,Yr(X(i,C)))),A=D($i(_),Yr(N));return[_,A]}var BE=T({basicLSTMCell_:sq});function iq(r,t,e){let n=I(r,"x","batchToSpaceND"),o=t.reduce((a,u)=>a*u);E(n.rank>=1+t.length,()=>`input rank is ${n.rank} but should be > than blockShape.length ${t.length}`),E(e.length===t.length,()=>`crops.length is ${e.length} but should be equal to blockShape.length ${t.length}`),E(n.shape[0]%o===0,()=>`input tensor batch is ${n.shape[0]} but is not divisible by the product of the elements of blockShape ${t.join(" * ")} === ${o}`);let s={x:n},i={blockShape:t,crops:e};return k.runKernel(ai,s,i)}var Zl=T({batchToSpaceND_:iq});function VE(r){let t;return r.rank===0||r.rank===1?t=R(r,[1,1,1,r.size]):r.rank===2?t=R(r,[1,1,r.shape[0],r.shape[1]]):r.rank===3?t=R(r,[1,r.shape[0],r.shape[1],r.shape[2]]):t=r,t}function aq(r,t,e,n,o,s){s==null&&(s=.001);let i=I(r,"x","batchNorm"),a=I(t,"mean","batchNorm"),u=I(e,"variance","batchNorm"),l;o!=null&&(l=I(o,"scale","batchNorm"));let c;n!=null&&(c=I(n,"offset","batchNorm")),E(a.rank===u.rank,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),E(c==null||a.rank===c.rank,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),E(l==null||a.rank===l.rank,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let m={x:VE(i),scale:l,offset:c,mean:a,variance:u},f={varianceEpsilon:s},d=k.runKernel(os,m,f);return R(d,i.shape)}var Di=T({batchNorm_:aq});function lq(r,t,e,n,o,s){let i=I(r,"x","batchNorm"),a=I(t,"mean","batchNorm"),u=I(e,"variance","batchNorm"),l;o!=null&&(l=I(o,"scale","batchNorm"));let c;return n!=null&&(c=I(n,"offset","batchNorm")),E(i.rank===2,()=>`Error in batchNorm2D: x must be rank 2 but got rank ${i.rank}.`),E(a.rank===2||a.rank===1,()=>`Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank ${a.rank}.`),E(u.rank===2||u.rank===1,()=>`Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank ${u.rank}.`),l!=null&&E(l.rank===2||l.rank===1,()=>`Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank ${l.rank}.`),c!=null&&E(c.rank===2||c.rank===1,()=>`Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank ${c.rank}.`),Di(i,a,u,c,l,s)}var xx=T({batchNorm2d_:lq});function uq(r,t,e,n,o,s){let i=I(r,"x","batchNorm"),a=I(t,"mean","batchNorm"),u=I(e,"variance","batchNorm"),l;o!=null&&(l=I(o,"scale","batchNorm"));let c;return n!=null&&(c=I(n,"offset","batchNorm")),E(i.rank===3,()=>`Error in batchNorm3D: x must be rank 3 but got rank ${i.rank}.`),E(a.rank===3||a.rank===1,()=>`Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank ${a.rank}.`),E(u.rank===3||u.rank===1,()=>`Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank ${u.rank}.`),l!=null&&E(l.rank===3||l.rank===1,()=>`Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank ${l.rank}.`),c!=null&&E(c.rank===3||c.rank===1,()=>`Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank ${c.rank}.`),Di(i,a,u,c,l,s)}var yx=T({batchNorm3d_:uq});function cq(r,t,e,n,o,s){let i=I(r,"x","batchNorm"),a=I(t,"mean","batchNorm"),u=I(e,"variance","batchNorm"),l;o!=null&&(l=I(o,"scale","batchNorm"));let c;return n!=null&&(c=I(n,"offset","batchNorm")),E(i.rank===4,()=>`Error in batchNorm4D: x must be rank 4 but got rank ${i.rank}.`),E(a.rank===4||a.rank===1,()=>`Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank ${a.rank}.`),E(u.rank===4||u.rank===1,()=>`Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank ${u.rank}.`),l!=null&&E(l.rank===4||l.rank===1,()=>`Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank ${l.rank}.`),c!=null&&E(c.rank===4||c.rank===1,()=>`Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank ${c.rank}.`),Di(i,a,u,c,l,s)}var bx=T({batchNorm4d_:cq});function pq(r,t,e){let n=I(r,"x","bincount"),o=I(t,"weights","bincount");E(n.dtype==="int32",()=>`Error in bincount: input dtype must be int32, but got ${n.dtype}`),E(e>=0,()=>`size must be non-negative, but got ${e}.`),E(o.size===n.size||o.size===0,()=>`Error in bincount: weights must have the same size as input or0-length, but got input shape: ${n.shape}, weights shape: ${o.shape}.`);let s={x:n,weights:o},i={size:e};return k.runKernel(up,s,i)}var wx=T({bincount_:pq});function mq(r,t){let e=I(r,"s0","broadcastArgs","int32"),n=I(t,"s1","broadcastArgs","int32");if(e.rank!==1)throw new Error(`broadcastArgs(): first input must be a vector (rank=1). Has rank ${e.rank}`);if(n.rank!==1)throw new Error(`broadcastArgs(): second input must be a vector (rank=1). Has rank ${n.rank}`);let o={s0:e,s1:n};return k.runKernel(cp,o)}var GE=T({broadcastArgs_:mq});function fq(r,t){let e=I(r,"broadcastTo","x"),n=e.shape;if(t.some(l=>!(l>0)||l%1!==0))throw new Error(`broadcastTo(): Invalid broadcast shape [${t}].`);if(t.lengthe.rank){let l=e.shape.slice();for(;l.length=0;l--)if(o[l]===t[l])s[l]=1;else if(e.shape[l]!==1)throw new Error(`broadcastTo(): [${n}] cannot be broadcast to [${t}].`);if(s.map((l,c)=>l>1?c:-1).filter(l=>l>=0).length===0)return sn(e);let a={x:e},u={reps:s};return k.runKernel(Jn,a,u)}var Ri=T({broadcastTo_:fq});function dq(r){let e={x:I(r,"x","ceil","float32")};return k.runKernel(qo,e)}var Cx=T({ceil_:dq});function xo(r,t,e){let n={shape:r,value:t,dtype:e};return k.runKernel(Dl,{},n)}function hq(r,t,e){let n=I(r,"x","clipByValue");if(E(t<=e,()=>`Error in clip: min (${t}) must be less than or equal to max (${e}).`),t===e)return xo(n.shape,t,n.dtype);let o={x:n},s={clipValueMin:t,clipValueMax:e};return k.runKernel(uo,o,s)}var Cr=T({clipByValue_:hq});function gq(r){return ne(r,0)}var Ix=T({concat1d_:gq});function xq(r,t){return ne(r,t)}var Sx=T({concat2d_:xq});function yq(r,t){return ne(r,t)}var vx=T({concat3d_:yq});function bq(r,t){return ne(r,t)}var Nx=T({concat4d_:bq});function wq(r,t,e,n,o="NHWC",s=[1,1],i){let a=I(r,"x","conv2d","float32"),u=I(t,"filter","conv2d","float32"),l=a,c=!1;a.rank===3&&(c=!0,l=R(a,[1,a.shape[0],a.shape[1],a.shape[2]])),E(l.rank===4,()=>`Error in conv2d: input must be rank 4, but got rank ${l.rank}.`),E(u.rank===4,()=>`Error in conv2d: filter must be rank 4, but got rank ${u.rank}.`),Ie("conv2d",n,i);let p=o==="NHWC"?l.shape[3]:l.shape[1];E(p===u.shape[2],()=>`Error in conv2d: depth of input (${p}) must match input depth for filter ${u.shape[2]}.`),E(Ar(e,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${e} and dilations '${s}'`);let m={x:l,filter:u},f={strides:e,pad:n,dataFormat:o,dilations:s,dimRoundingMode:i},d=k.runKernel(Ko,m,f);return c?R(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var In=T({conv2d_:wq});function Cq(r,t,e,n,o="NWC",s=1,i){let a=I(r,"x","conv1d"),u=I(t,"filter","conv1d"),l=a,c=!1;a.rank===2&&(c=!0,l=R(a,[1,a.shape[0],a.shape[1]])),E(l.rank===3,()=>`Error in conv1d: input must be rank 3, but got rank ${l.rank}.`),E(u.rank===3,()=>`Error in conv1d: filter must be rank 3, but got rank ${u.rank}.`),Ie("conv1d",n,i),E(l.shape[2]===u.shape[1],()=>`Error in conv1d: depth of input (${l.shape[2]}) must match input depth for filter ${u.shape[1]}.`),E(Ar(e,s),()=>`Error in conv1D: Either stride or dilation must be 1. Got stride ${e} and dilation '${s}'`),E(o==="NWC",()=>`Error in conv1d: got dataFormat of ${o} but only NWC is currently supported.`);let p=R(u,[1,u.shape[0],u.shape[1],u.shape[2]]),m=R(l,[l.shape[0],1,l.shape[1],l.shape[2]]),g=In(m,p,[1,e],n,"NHWC",[1,s],i);return c?R(g,[g.shape[2],g.shape[3]]):R(g,[g.shape[0],g.shape[2],g.shape[3]])}var Qp=T({conv1d_:Cq});function Iq(r,t,e,n,o,s="NHWC",i){E(r.length===t.rank,()=>`Length of inShape (${r.length}) and rank of dy (${t.rank}) must match`);let a=r,u=t,l=!1;t.rank===3&&(l=!0,u=R(t,[1,t.shape[0],t.shape[1],t.shape[2]]),a=[1,r[0],r[1],r[2]]),E(a.length===4,()=>`Error in conv2dDerInput: inShape must be length 4, but got length ${a.length}.`),E(u.rank===4,()=>`Error in conv2dDerInput: dy must be rank 4, but got rank ${u.rank}`),E(e.rank===4,()=>`Error in conv2dDerInput: filter must be rank 4, but got rank ${e.rank}`);let c=s==="NHWC"?a[3]:a[1],p=s==="NHWC"?u.shape[3]:u.shape[1];E(c===e.shape[2],()=>`Error in conv2dDerInput: depth of input (${c}) must match input depth for filter ${e.shape[2]}.`),E(p===e.shape[3],()=>`Error in conv2dDerInput: depth of output (${p}) must match output depth for filter ${e.shape[3]}.`),Ie("conv2dDerInput",o,i);let m={dy:u,filter:e},f={strides:n,pad:o,dataFormat:s,dimRoundingMode:i,inputShape:a},d=k.runKernel(jo,m,f);return l?R(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var tm=T({conv2DBackpropInput_:Iq});function Sq(r,t,e,n,o,s){let i=I(r,"x","conv2dTranspose"),a=I(t,"filter","conv2dTranspose");return tm(e,i,a,n,o,"NHWC",s)}var em=T({conv2dTranspose_:Sq});function vq(r,t,e,n,o="NDHWC",s=[1,1,1]){let i=I(r,"x","conv3d"),a=I(t,"filter","conv3d"),u=i,l=!1;i.rank===4&&(l=!0,u=R(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),E(u.rank===5,()=>`Error in conv3d: input must be rank 5, but got rank ${u.rank}.`),E(a.rank===5,()=>`Error in conv3d: filter must be rank 5, but got rank ${a.rank}.`),E(u.shape[4]===a.shape[3],()=>`Error in conv3d: depth of input (${u.shape[4]}) must match input depth for filter ${a.shape[3]}.`),E(Ar(e,s),()=>`Error in conv3D: Either strides or dilations must be 1. Got strides ${e} and dilations '${s}'`),E(o==="NDHWC",()=>`Error in conv3d: got dataFormat of ${o} but only NDHWC is currently supported.`);let c={x:u,filter:a},p={strides:e,pad:n,dataFormat:o,dilations:s},m=k.runKernel(Al,c,p);return l?R(m,[m.shape[1],m.shape[2],m.shape[3],m.shape[4]]):m}var Tx=T({conv3d_:vq});function Nq(r,t,e,n,o){E(r.length===t.rank,()=>`Length of inShape (${r.length}) and rank of dy (${t.rank}) must match`);let s=r,i=t,a=!1;t.rank===4&&(a=!0,i=R(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]]),s=[1,r[0],r[1],r[2],r[3]]);let u=s[4],l=i.shape[4];E(s.length===5,()=>`Error in conv3dDerInput: inShape must be length 5, but got length ${s.length}.`),E(i.rank===5,()=>`Error in conv3dDerInput: dy must be rank 5, but got rank ${i.rank}`),E(e.rank===5,()=>`Error in conv3dDerInput: filter must be rank 5, but got rank ${e.rank}`),E(u===e.shape[3],()=>`Error in conv3dDerInput: depth of input (${u}) must match input depth for filter ${e.shape[3]}.`),E(l===e.shape[4],()=>`Error in conv3dDerInput: depth of output (${l}) must match output depth for filter ${e.shape[4]}.`);let c={dy:i,filter:e},p={pad:o,strides:n,inputShape:s},m=k.runKernel(dp,c,p);return a?R(m,[m.shape[1],m.shape[2],m.shape[3],m.shape[4]]):m}var kx=T({conv3DBackpropInput_:Nq});function Tq(r,t,e,n,o){let s=I(r,"x","conv3dTranspose"),i=I(t,"filter","conv3dTranspose");return kx(e,s,i,n,o)}var Ex=T({conv3dTranspose_:Tq});function kq(r){let e={x:I(r,"x","cos","float32")};return k.runKernel(Xo,e)}var Jl=T({cos_:kq});function Eq(r){let e={x:I(r,"x","cosh","float32")};return k.runKernel(Yo,e)}var rm=T({cosh_:Eq});function _q(r,t=0,e=!1,n=!1){let s={x:I(r,"x","cumprod")},i={axis:t,exclusive:e,reverse:n};return k.runKernel(fa,s,i)}var Xu=T({cumprod_:_q});function Aq(r,t=0,e=!1,n=!1){let s={x:I(r,"x","cumsum")},i={axis:t,exclusive:e,reverse:n};return k.runKernel(Zo,s,i)}var nm=T({cumsum_:Aq});function $q(r,t,e,n=!1){let o=I(r,"x","denseBincount"),s=I(t,"weights","denseBincount");E(o.dtype==="int32",()=>`Error in denseBincount: input dtype must be int32, but got ${o.dtype}`),E(o.rank<=2,()=>`Error in denseBincount: input must be at most rank 2, but got rank ${o.rank}.`),E(e>=0,()=>`size must be non-negative, but got ${e}.`),E(s.size===o.size||s.size===0,()=>`Error in denseBincount: weights must have the same shape as x or 0-length, but got x shape: ${o.shape}, weights shape: ${s.shape}.`);let i={x:o,weights:s},a={size:e,binaryOutput:n};return k.runKernel(hp,i,a)}var ch=T({denseBincount_:$q});function Dq(r,t,e="NHWC"){let n=I(r,"x","depthToSpace","float32"),o=e==="NHWC"?n.shape[1]:n.shape[2],s=e==="NHWC"?n.shape[2]:n.shape[3],i=e==="NHWC"?n.shape[3]:n.shape[1];E(t>1,()=>`blockSize should be > 1 for depthToSpace, but was: ${t}`),E(o*t>=0,()=>`Negative dimension size caused by overflow when multiplying ${o} and ${t} for depthToSpace with input shape ${n.shape}`),E(s*t>=0,()=>`Negative dimension size caused by overflow when multiplying ${s} and ${t} for depthToSpace with input shape - ${n.shape}`),E(i%(t*t)===0,()=>`Dimension size must be evenly divisible by ${t*t} but is ${i} for depthToSpace with input shape ${n.shape}`);let a={x:n},u={blockSize:t,dataFormat:e};return T.runKernel(fa,a,u)}var Sx=k({depthToSpace_:Cq});function Iq(r,t,e,n,o="NHWC",s=[1,1],i){let a=I(r,"x","depthwiseConv2d","float32"),u=I(t,"filter","depthwiseConv2d","float32"),l=a,c=!1;a.rank===3&&(c=!0,l=D(a,[1,a.shape[0],a.shape[1],a.shape[2]])),E(l.rank===4,()=>`Error in depthwiseConv2d: input must be rank 4, but got rank ${l.rank}.`),E(u.rank===4,()=>`Error in depthwiseConv2d: filter must be rank 4, but got rank ${u.rank}.`);let p=o==="NHWC"?l.shape[3]:l.shape[1];E(p===u.shape[2],()=>`Error in depthwiseConv2d: number of input channels (${p}) must match the inChannels dimension in filter ${u.shape[2]}.`),Ie("depthwiseConv2d",n,i);let m={x:l,filter:u},f={strides:e,pad:n,dataFormat:o,dilations:s,dimRoundingMode:i},d=T.runKernel(Zo,m,f);return c?D(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var Di=k({depthwiseConv2d_:Iq});function vq(r){let e={x:I(r,"x","diag")};return T.runKernel(yp,e)}var zE=k({diag_:vq});function Sq(r,t,e,n,o=[1,1],s="NHWC"){let i=I(r,"x","dilation2d"),a=I(t,"filter","dilation2d");E(i.rank===3||i.rank===4,()=>`Error in dilation2d: input must be rank 3 or 4, but got rank ${i.rank}.`),E(a.rank===3,()=>`Error in dilation2d: filter must be rank 3, but got rank ${a.rank}.`),E(s==="NHWC",()=>`Error in dilation2d: Only NHWC is currently supported, but got dataFormat of ${s}`);let u=i,l=!1;i.rank===3&&(u=D(i,[1,i.shape[0],i.shape[1],i.shape[2]]),l=!0);let c={x:u,filter:a},p={strides:e,pad:n,dilations:o},m=T.runKernel(_l,c,p);return l?D(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var Nx=k({dilation2d_:Sq});function Nq(r,t){let e=I(r,"a","equal","string_or_numeric"),n=I(t,"b","equal","string_or_numeric");[e,n]=Wt(e,n),Pt(e.shape,n.shape);let o={a:e,b:n};return T.runKernel(ha,o)}var Ar=k({equal_:Nq});function kq(r,t,e){let n=I(t,"a","where"),o=I(e,"b","where"),s=I(r,"condition","where","bool"),i=Pt(Pt(s.shape,n.shape),o.shape),a=$i(s,i),u=$i(n,i),l=$i(o,i),c={condition:a,t:u,e:l};return T.runKernel(fi,c)}var _e=k({where_:kq});function Tq(r){let e={x:I(r,"x","zerosLike")};return T.runKernel(yi,e)}var It=k({zerosLike_:Tq});function Eq(r,t){let e=I(r,"a","div"),n=I(t,"b","div");[e,n]=Wt(e,n);let o=pt(e,n),s=It(o),i=Ar(n,s);return _e(i,s,o)}var kx=k({divNoNan_:Eq});function _q(r,t){let e=I(r,"t1","dot"),n=I(t,"t2","dot");E((e.rank===1||e.rank===2)&&(n.rank===1||n.rank===2),()=>`Error in dot: inputs must all be rank 1 or 2, but got ranks ${e.rank} and ${n.rank}.`);let o=e.rank===1?e.size:e.shape[1],s=n.rank===1?n.size:n.shape[0];if(E(o===s,()=>`Error in dot: inner dimensions of inputs must match, but got ${o} and ${s}.`),e.rank===1&&n.rank===1){let i=D(e,[1,-1]),a=D(n,[-1,1]),u=Lt(i,a);return D(u,[])}else if(e.rank===1&&n.rank===2){let i=D(e,[1,-1]),a=D(n,[n.shape[0],n.shape[1]]),u=Lt(i,a);return D(u,[u.size])}else if(e.rank===2&&n.rank===1){let i=D(n,[-1,1]),a=Lt(e,i);return D(a,[a.size])}else{let i=D(n,[n.shape[0],n.shape[1]]);return Lt(e,i)}}var Tx=k({dot_:_q});function Aq(r,...t){let e=t.map((o,s)=>I(o,`tensors${s}`,"einsum")),n={equation:r};return T.runKernel(bp,e,n)}var BE=k({einsum_:Aq});function $q(r){let e={x:I(r,"x","elu","float32")};return T.runKernel(Qo,e)}var Ri=k({elu_:$q});function Dq(r){let t=I(r,"x","erf");E(t.dtype==="int32"||t.dtype==="float32",()=>"Input dtype must be `int32` or `float32`."),t.dtype==="int32"&&(t=J(t,"float32"));let e={x:t};return T.runKernel(da,e)}var Ex=k({erf_:Dq});function KS(r,t){for(let e=0;er[s]);return[e,o]}function xo(r,t){let e=t.map(n=>1);return VE(r,e,t)}function Rq(r,t,e){E(KS(t,e),()=>`${r} supports only inner-most axes for now. Got axes ${t} and rank-${e} input.`)}function XS(r,t){if(KS(r,t))return null;let e=[];for(let n=0;ne.push(n)),e}function ih(r){return r.map((t,e)=>[e,t]).sort((t,e)=>t[1]-e[1]).map(t=>t[0])}function Fq(r,t){let e=[];for(let n=t-r;n"Axis must be <= rank of the tensor");let n={input:e},o={dim:t};return T.runKernel(ai,n,o)}var gr=k({expandDims_:Uq});function Hq(r){let e={x:I(r,"x","expm1")};return T.runKernel(ga,e)}var Ax=k({expm1_:Hq});function qq(r,t){let e=I(r,"x","tile","string_or_numeric");E(e.rank===t.length,()=>`Error in transpose: rank of input ${e.rank} must match length of reps ${t}.`);let n={x:e},o={reps:t};return T.runKernel(Zn,n,o)}var $r=k({tile_:qq});function Kq(r,t,e,n="float32"){t==null&&(t=r);let o=wt([r,t],n),s=r<=t?r:t;for(let a=0;a`Error in localResponseNormalization: x must be rank 3 or 4 but got - rank ${s.rank}.`),E(ea(t),()=>`Error in localResponseNormalization: depthRadius must be an integer but got depthRadius ${t}.`);let i=s,a=!1;s.rank===3&&(a=!0,i=D(s,[1,s.shape[0],s.shape[1],s.shape[2]]));let u={x:i},l={depthRadius:t,bias:e,alpha:n,beta:o},c=T.runKernel($l,u,l);return a?D(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var Fx=k({localResponseNormalization_:oK});function sK(r){let e={x:I(r,"x","log","float32")};return T.runKernel(is,e)}var Ir=k({log_:sK});function iK(r){let e={x:I(r,"x","log1p")};return T.runKernel(Na,e)}var Jl=k({log1p_:iK});function aK(r){return E(ri(r),()=>"The f passed in grad(f) must be a function"),(t,e)=>{let n=I(t,"x","tf.grad","string_or_numeric"),o=e!=null?I(e,"dy","tf.grad"):null;return T.tidy(()=>{let{value:s,grads:i}=T.gradients(()=>r(n),[n],o);return o!=null&&$e(s.shape,o.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),Px(i),i[0]})}}function lK(r){return E(ri(r),()=>"The f passed in grads(f) must be a function"),(t,e)=>{E(Array.isArray(t),()=>"The args passed in grads(f)(args) must be an array of `Tensor`s or `TensorLike`s");let n=qa(t,"args","tf.grads","string_or_numeric"),o=e!=null?I(e,"dy","tf.grads"):null;return T.tidy(()=>{let{value:s,grads:i}=T.gradients(()=>r(...n),n,o);return o!=null&&$e(s.shape,o.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Px(i),i})}}function uK(r){return E(ri(r),()=>"The f passed in valueAndGrad(f) must be a function"),(t,e)=>{E(t instanceof Ft,()=>"The x passed in valueAndGrad(f)(x) must be a tensor"),E(e==null||e instanceof Ft,()=>"The dy passed in valueAndGrad(f)(x, dy) must be a tensor");let{grads:n,value:o}=T.gradients(()=>r(t),[t],e);return Px(n),{grad:n[0],value:o}}}function cK(r){return E(ri(r),()=>"The f passed in valueAndGrads(f) must be a function"),(t,e)=>{E(Array.isArray(t)&&t.every(o=>o instanceof Ft),()=>"The args passed in valueAndGrads(f)(args) must be array of tensors"),E(e==null||e instanceof Ft,()=>"The dy passed in valueAndGrads(f)(args, dy) must be a tensor");let n=T.gradients(()=>r(...t),t,e);return e!=null&&$e(n.value.shape,e.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Px(n.grads),n}}function Ox(r,t){E(ri(r),()=>"The f passed in variableGrads(f) must be a function"),E(t==null||Array.isArray(t)&&t.every(l=>l instanceof Ha),()=>"The varList passed in variableGrads(f, varList) must be an array of variables");let e=t!=null;if(!e){t=[];for(let l in T.registeredVariables)t.push(T.registeredVariables[l])}let n=e?t.filter(l=>!l.trainable):null,o=t.length;t=t.filter(l=>l.trainable),E(t.length>0,()=>`variableGrads() expects at least one of the input variables to be trainable, but none of the ${o} variables is trainable.`);let s=!0,{value:i,grads:a}=T.gradients(r,t,null,s);E(a.some(l=>l!=null),()=>"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize()."),E(i.rank===0,()=>`The f passed in variableGrads(f) must return a scalar, but it returned a rank-${i.rank} tensor`);let u={};return t.forEach((l,c)=>{a[c]!=null&&(u[l.name]=a[c])}),n!=null&&n.forEach(l=>u[l.name]=null),{value:i,grads:u}}function ln(r){return T.customGrad(r)}function Px(r){if(r.filter(e=>e==null).length>0)throw new Error(`Cannot compute gradient of y=f(x) with respect to x. Make sure that - the f you passed encloses all operations that lead from x to y.`)}function pK(r){let e={x:I(r,"x","softplus")};return T.runKernel(za,e)}var Ms=k({softplus_:pK});function mK(r){let t=I(r,"x","logSigmoid");return ln(n=>({value:Ut(Ms(Ut(n))),gradFunc:i=>R(i,Xr(Ut(n)))}))(t)}var Lx=k({logSigmoid_:mK});function fK(r,t){let e=I(r,"a","sub"),n=I(t,"b","sub");[e,n]=Wt(e,n);let o={a:e,b:n};return T.runKernel(Rs,o)}var ct=k({sub_:fK});function dK(r,t=-1){let e=I(r,"logits","logSoftmax");if(t===-1&&(t=e.rank-1),t!==e.rank-1)throw Error(`Log Softmax along a non-last dimension is not yet supported. Logits was rank ${e.rank} and axis was ${t}`);return ln((o,s)=>{let a=Br(o,t,!0),u=ct(o,a),l=ct(J(u,"float32"),Ir(ft(er(u),t,!0)));return s([l]),{value:l,gradFunc:(p,m)=>{let[f]=m,d=!0,h=er(f);return ct(p,R(ft(p,t,d),h))}}})(e)}var om=k({logSoftmax_:dK});function hK(r,t=null,e=!1){let n=I(r,"x","logSumExp"),o=ar(t,n.shape),s=Br(n,o,!0),i=ct(n,s),a=er(i),u=ft(a,o),l=Ir(u),c=X(D(s,l.shape),l);if(e){let p=xo(c.shape,o);return D(c,p)}return c}var sm=k({logSumExp_:hK});function gK(r,t){let e=I(r,"a","logicalAnd","bool"),n=I(t,"b","logicalAnd","bool");Pt(e.shape,n.shape);let o={a:e,b:n};return T.runKernel(ka,o)}var Dr=k({logicalAnd_:gK});function xK(r){let e={x:I(r,"x","logicalNot","bool")};return T.runKernel(Ta,e)}var Ql=k({logicalNot_:xK});function yK(r,t){let e=I(r,"a","logicalOr","bool"),n=I(t,"b","logicalOr","bool");Pt(e.shape,n.shape);let o={a:e,b:n};return T.runKernel(Ea,o)}var im=k({logicalOr_:yK});function bK(r,t){let e=I(r,"a","logicalXor","bool"),n=I(t,"b","logicalXor","bool");return Pt(e.shape,n.shape),Dr(im(r,t),Ql(Dr(r,t)))}var Mx=k({logicalXor_:bK});var zx=2147483648;function wK(r,t,e="left"){let n=I(r,"sortedSequence","searchSorted"),o=I(t,"values","searchSorted"),s=n.shape[n.shape.length-1],i=o.shape[o.shape.length-1],a=D(n,[-1,s]),u=D(o,[-1,i]);if(a.rank<2)throw new Error("Sorted input argument must be at least 2-dimensional");if(a.shape[0]!==u.shape[0])throw new Error("Leading dimension of 'sortedSequence' and 'values' must match.");if(Zt(u.shape)>=zx)throw new Error(`values tensor size must less than ${zx}`);if(a.shape[1]>=zx)throw new Error(`trailing dim_size must less than ${zx} for int32 output type, was ${a.shape[1]}`);let l={sortedSequence:a,values:u},c={side:e};return T.runKernel(Op,l,c)}var ah=k({searchSorted_:wK});function UE(r,t){return ah(r,t,"left")}function CK(r,t,e,n,o){let s=I(r,"x","maxPool"),i=1,a=s,u=!1;s.rank===3&&(u=!0,a=D(s,[1,s.shape[0],s.shape[1],s.shape[2]])),E(a.rank===4,()=>`Error in maxPool: input must be rank 4 but got rank ${a.rank}.`),E(_r(e,i),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${e} and dilations '${i}'`),Ie("maxPool",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o},p=T.runKernel(us,l,c);return u?D(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var tu=k({maxPool_:CK});function IK(r,t=[1,1,1],e,n,o,s="NDHWC"){let i=I(r,"x","maxPool3d"),a=i,u=!1;i.rank===4&&(u=!0,a=D(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),E(a.rank===5,()=>`Error in maxPool3d: x must be rank 5 but got rank ${a.rank}.`),E(s==="NDHWC",()=>`Error in maxPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),Ie("maxPool3d",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o,dataFormat:s},p=T.runKernel(Dl,l,c);return u?D(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}var Bx=k({maxPool3d_:IK});function vK(r,t,e,n,o=!1){let i={x:I(r,"x","maxPoolWithArgmax")},a={filterSize:t,strides:e,pad:n,includeBatchInIndex:o},u=T.runKernel(Ep,i,a);return{result:u[0],indexes:u[1]}}var HE=k({maxPoolWithArgmax_:vK});function SK(r,t){let e=I(r,"a","maximum"),n=I(t,"b","maximum");[e,n]=Wt(e,n),e.dtype==="bool"&&(e=J(e,"int32"),n=J(n,"int32")),Pt(e.shape,n.shape);let o={a:e,b:n};return T.runKernel(ls,o)}var In=k({maximum_:SK});function NK(r,t=null,e=!1){let o={x:I(r,"x","mean")},s={axis:t,keepDims:e};return T.runKernel(cs,o,s)}var Se=k({mean_:NK});function Ne(r,t="float32"){if(t==="complex64"){let n=Ne(r,"float32"),o=Ne(r,"float32");return bn(n,o)}let e=ip(Zt(r),t);return T.makeTensor(e,r,t)}function lr(r,t="float32"){if(t==="complex64"){let n=lr(r,"float32"),o=Ne(r,"float32");return bn(n,o)}let e=zd(Zt(r),t);return T.makeTensor(e,r,t)}function qE(r,t,{indexing:e="xy"}={}){if(e!=="xy"&&e!=="ij")throw new TypeError(`${e} is not a valid third argument to meshgrid`);if(r===void 0)return[];let n=I(r,"x","meshgrid",r instanceof Ft?r.dtype:"float32");if(t===void 0)return[n];let o=I(t,"y","meshgrid",t instanceof Ft?t.dtype:"float32"),s=Zt(n.shape),i=Zt(o.shape);return e==="xy"?(n=D(n,[1,-1]),o=D(o,[-1,1]),[Lt(lr([i,1],n.dtype),n),Lt(o,lr([1,s],o.dtype))]):(n=D(n,[-1,1]),o=D(o,[1,-1]),[Lt(n,lr([1,i],n.dtype)),Lt(lr([s,1],o.dtype),o)])}function kK(r,t){let e=I(r,"a","minimum"),n=I(t,"b","minimum");[e,n]=Wt(e,n),e.dtype==="bool"&&(e=J(e,"int32"),n=J(n,"int32")),Pt(e.shape,n.shape);let o={a:e,b:n};return T.runKernel(ms,o)}var Pi=k({minimum_:kK});function TK(r,t,e){E(e==="reflect"||e==="symmetric",()=>`Invalid mode. Mode must be either reflect or symmetric. Got ${e}.`);let n=I(r,"x","mirrorPad");if(n.rank===0)throw new Error("mirrorPad(scalar) is not defined. Pass non-scalar to mirrorPad");E(t.length===n.rank,()=>`Padding doesn't match input. Must be ${n.rank}. Got ${t.length}.`);let o=e==="reflect"?1:0;for(let a=0;a"Invalid number of paddings. Must be length of 2 each."),E(t[a][0]>=0&&t[a][0]<=n.shape[a]-o&&t[a][1]>=0&&t[a][1]<=n.shape[a]-o,()=>`Padding in dimension ${a} cannot be greater than or equal to ${n.shape[a]-o} or less than 0 for input of shape ${n.shape}`);let s={paddings:t,mode:e},i={x:n};return T.runKernel(fs,i,s)}var Vx=k({mirrorPad_:TK});function EK(r,t){let e=I(r,"a","mod"),n=I(t,"b","mod");[e,n]=Wt(e,n);let o={a:e,b:n};return T.runKernel(_a,o)}var Gx=k({mod_:EK});function _K(r,t=null,e=!1){r=I(r,"x","moments");let n=ar(t,r.shape),o=Se(r,n,e),s=o.shape;e||(s=xo(o.shape,n));let i=Mt(ct(J(r,"float32"),D(o,s))),a=Se(i,n,e);return{mean:o,variance:a}}var Zu=k({moments_:_K});function AK(r,t,e,n){let o=I(t,"data","multiRNNCell"),s=qa(e,"c","multiRNNCell"),i=qa(n,"h","multiRNNCell"),a=o,u=[];for(let p=0;p2)throw new Error(`Rank of probabilities must be 1 or 2, but is ${i}`);e=e||Math.random();let u={logits:i===1?D(o,[1,-1]):o},l={numSamples:t,seed:e,normalized:n},c=T.runKernel(_p,u,l);return i===1?D(c,[c.size]):c}var jE=k({multinomial_:$K});function DK(r,t){let e=I(r,"a","notEqual","string_or_numeric"),n=I(t,"b","notEqual","string_or_numeric");[e,n]=Wt(e,n),Pt(e.shape,n.shape);let o={a:e,b:n};return T.runKernel(Aa,o)}var zs=k({notEqual_:DK});function RK(r){let e={x:I(r,"x","onesLike")};return T.runKernel(ci,e)}var xr=k({onesLike_:RK});function FK(r,t){let e=I(r,"v1","outerProduct"),n=I(t,"v2","outerProduct");E(e.rank===1&&n.rank===1,()=>`Error in outerProduct: inputs must be rank 1, but got ranks ${e.rank} and ${n.rank}.`);let o=D(e,[-1,1]),s=D(n,[1,-1]);return Lt(o,s)}var XE=k({outerProduct_:FK});function OK(r,t,e=0){let n=I(r,"x","pad");if(n.rank===0)throw new Error("pad(scalar) is not defined. Pass non-scalar to pad");let o={paddings:t,constantValue:e},s={x:n};return T.runKernel(gs,s,o)}var un=k({pad_:OK});function PK(r,t,e=0){return E(t.length===2,()=>"Invalid number of paddings. Must be length of 2."),un(r,[t],e)}var YE=k({pad1d_:PK});function LK(r,t,e=0){return E(t.length===2&&t[0].length===2&&t[1].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),un(r,t,e)}var ZE=k({pad2d_:LK});function MK(r,t,e=0){return E(t.length===3&&t[0].length===2&&t[1].length===2&&t[2].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),un(r,t,e)}var JE=k({pad3d_:MK});function zK(r,t,e=0){return E(t.length===4&&t[0].length===2&&t[1].length===2&&t[2].length===2&&t[3].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),un(r,t,e)}var QE=k({pad4d_:zK});function BK(r,t,e){let n=I(r,"x","spaceToBatchND");E(n.rank>=1+t.length,()=>`input rank ${n.rank} should be > than [blockShape] ${t.length}`),E(e.length===t.length,()=>`paddings.shape[0] ${e.length} must be equal to [blockShape] ${t.length}`),E(n.shape.reduce((i,a,u)=>u>0&&u<=t.length?i&&(a+e[u-1][0]+e[u-1][1])%t[u-1]===0:i,!0),()=>`input spatial dimensions ${n.shape.slice(1)} with paddings ${e.toString()} must be divisible by blockShapes ${t.toString()}`);let o={x:n},s={blockShape:t,paddings:e};return T.runKernel(hi,o,s)}var eu=k({spaceToBatchND_:BK});function VK(r,t,e,n,o,s,i){o==null&&(o=[1,1]),s==null&&(s=1),n===0&&(n="valid");let a=I(r,"x","maxPool"),u=a,l=!1;a.rank===3&&(l=!0,u=D(a,[1,a.shape[0],a.shape[1],a.shape[2]])),E(_r(s,o),()=>`Error in pool: Either strides or dilations must be 1. Got strides ${s} and dilations '${o}'`);let c=HS(u.shape,t,s,o,n),p=[c.dilationHeight,c.dilationWidth],m;n==="same"?m=WK([c.filterHeight,c.filterWidth],p):m=[[0,0],[0,0]];let f=p[0]===1&&p[1]===1,[d,h]=GK([c.inHeight,c.inWidth],p,m),g=f?n:"valid",x=f?u:eu(u,p,d),w=(e==="avg"?()=>jl(x,t,s,g,i):()=>tu(x,t,s,g,i))(),C=f?w:Xl(w,p,h);return l?D(C,[C.shape[1],C.shape[2],C.shape[3]]):C}function GK(r,t,e){let n=e.map(c=>c[0]),o=e.map(c=>c[1]),s=r.concat(n,o),i=t.map((c,p)=>(c-s[p]%c)%c),a=o.map((c,p)=>c+i[p]),u=t.map((c,p)=>[n[p],a[p]]),l=t.map((c,p)=>[0,i[p]]);return[u,l]}function WK(r,t){let n=r.map((i,a)=>i+(i-1)*(t[a]-1)).map(i=>i-1),o=n.map(i=>Math.floor(i/2)),s=n.map((i,a)=>i-o[a]);return n.map((i,a)=>[o[a],s[a]])}var Wx=k({pool_:VK});function UK(r,t){let e=I(r,"x","prelu"),n=I(t,"alpha","prelu"),o={x:e,alpha:n};return T.runKernel(ys,o)}var ru=k({prelu_:UK});function HK(r,t=null,e=!1){let n=I(r,"x","prod");n.dtype==="bool"&&(n=J(n,"int32"));let o={x:n},s={axis:t,keepDims:e};return T.runKernel(bs,o,s)}var Ux=k({prod_:HK});function qK(r,t,e,n){let o=r.map((c,p)=>I(c,`tensors${p}`,"raggedGather","int32")),s=I(t,"paramsDenseValues","raggedGather"),i=I(e,"indices","raggedGather","int32"),a={paramsNestedSplits:o,paramsDenseValues:s,indices:i},u={outputRaggedRank:n},l=T.runKernel(Ap,a,u);return{outputNestedSplits:l.slice(0,l.length-1),outputDenseValues:l[l.length-1]}}var t_=k({raggedGather_:qK});function KK(r,t,e,n,o){let s=I(r,"shape","raggedTensorToTensor","int32"),i=I(t,"values","raggedTensorToTensor"),a=I(e,"defaultValue","raggedTensorToTensor",i.dtype),u=n.map((p,m)=>I(p,`tensors${m}`,"raggedTensorToTensor","int32")),l={shape:s,values:i,defaultValue:a,rowPartitionTensors:u},c={rowPartitionTypes:o};return T.runKernel($p,l,c)}var e_=k({raggedTensorToTensor_:KK});function jK(r,t,e){let n=Zt(r),o=null;if(e==null||e==="float32")o=new Float32Array(n);else if(e==="int32")o=new Int32Array(n);else if(e==="bool")o=new Uint8Array(n);else throw new Error(`Unknown data type ${e}`);for(let s=0;s=1||i===0);let a=Math.sqrt(-2*Math.log(i)/i);t=this.mean+this.stdDev*o*a,e=this.mean+this.stdDev*s*a,(!this.truncated||this.isValidTruncated(t))&&(n=!0)}return(!this.truncated||this.isValidTruncated(e))&&(this.nextVal=this.convertValue(e)),this.convertValue(t)}convertValue(t){return this.dtype==null||this.dtype==="float32"?t:Math.round(t)}isValidTruncated(t){return t<=this.upper&&t>=this.lower}},qx=class{constructor(t,e,n,o){this.alpha=t,this.beta=1/e,this.dtype=n;let s=o||Math.random();this.randu=jx.alea(s.toString()),this.randn=new Qu(0,1,n,!1,this.randu()),t<1?this.d=t+2/3:this.d=t-1/3,this.c=1/Math.sqrt(9*this.d)}nextValue(){let t,e,n,o,s,i;for(;;){do o=this.randn.nextValue(),i=1+this.c*o;while(i<=0);if(i*=i*i,t=o*o,e=1-.331*t*t,n=.5*t+this.d*(1-i+Math.log(i)),s=this.randu(),sthis.dtype==null||this.dtype==="float32",this.min=t,this.range=e-t,this.dtype=n,o==null&&(o=Math.random()),typeof o=="number"&&(o=o.toString()),!this.canReturnFloat()&&this.range<=1)throw new Error(`The difference between ${t} - ${e} <= 1 and dtype is not float`);this.random=jx.alea(o)}convertValue(t){return this.canReturnFloat()?t:Math.round(t)}nextValue(){return this.convertValue(this.min+this.range*this.random())}};function ej(r,t,e=1,n="float32",o){if(e==null&&(e=1),n==null&&(n="float32"),n!=="float32"&&n!=="int32")throw new Error(`Unsupported data type ${n}`);let s=new qx(t,e,n,o),i=wt(r,n);for(let a=0;a`Error in reverse1D: x must be rank 1 but got rank ${t.rank}.`),ur(t,0)}var C_=k({reverse1d_:uj});function cj(r,t){let e=I(r,"x","reverse");return E(e.rank===2,()=>`Error in reverse2D: x must be rank 2 but got rank ${e.rank}.`),ur(e,t)}var I_=k({reverse2d_:cj});function pj(r,t){let e=I(r,"x","reverse");return E(e.rank===3,()=>`Error in reverse3D: x must be rank 3 but got rank ${e.rank}.`),ur(e,t)}var v_=k({reverse3d_:pj});function mj(r,t){let e=I(r,"x","reverse");return E(e.rank===4,()=>`Error in reverse4D: x must be rank 4 but got rank ${e.rank}.`),ur(e,t)}var S_=k({reverse4d_:mj});function fj(r){let e={x:I(r,"x","round")};return T.runKernel(Ns,e)}var lm=k({round_:fj});function dj(r){let e={x:I(r,"x","rsqrt","float32")};return T.runKernel(ks,e)}var um=k({rsqrt_:dj});function hj(r){let e={x:I(r,"x","selu")};return T.runKernel(Pa,e)}var cm=k({selu_:hj});function gj(r,t,e,n,o,s=[1,1],i="NHWC"){let a=I(r,"x","separableConv2d"),u=I(t,"depthwiseFilter","separableConv2d"),l=I(e,"pointwiseFilter","separableConv2d"),c=a,p=!1;if(a.rank===3&&(p=!0,c=D(a,[1,a.shape[0],a.shape[1],a.shape[2]])),i==="NCHW")throw new Error("separableConv2d currently does not support dataFormat NCHW; only NHWC is supported");E(c.rank===4,()=>`Error in separableConv2d: input must be rank 4, but got rank ${c.rank}.`),E(u.rank===4,()=>`Error in separableConv2d: depthwise filter must be rank 4, but got rank ${u.rank}.`),E(l.rank===4,()=>`Error in separableConv2d: pointwise filter must be rank 4, but got rank ${u.rank}.`),E(l.shape[0]===1,()=>`Error in separableConv2d: the first dimension of pointwise filter must be 1, but got ${l.shape[0]}.`),E(l.shape[1]===1,()=>`Error in separableConv2d: the second dimension of pointwise filter must be 1, but got ${l.shape[1]}.`);let m=u.shape[2],f=u.shape[3];E(l.shape[2]===m*f,()=>`Error in separableConv2d: the third dimension of pointwise filter must be ${m*f}, but got ${l.shape[2]}.`);let d=Di(c,u,n,o,i,s),g=Cn(d,l,1,"valid",i);return p?D(g,[g.shape[1],g.shape[2],g.shape[3]]):g}var pm=k({separableConv2d_:gj});async function xj(r,t){let e=I(r,"x","setdiff1d"),n=I(t,"y","setdiff1d");E(e.dtype===n.dtype,()=>`x and y should have the same dtype, but got x (${e.dtype}) and y (${n.dtype}).`),E(e.rank===1,()=>`x should be 1D tensor, but got x (${e.shape}).`),E(n.rank===1,()=>`y should be 1D tensor, but got y (${n.shape}).`);let o=await e.data(),s=await n.data(),i=new Set(s),a=0;for(let c=0;c`slice1d expects a rank-1 tensor, but got a rank-${n.rank} tensor`),Dt(n,[t],[e])}var dm=k({slice1d_:Cj});function Ij(r,t,e){let n=I(r,"x","slice2d");return E(n.rank===2,()=>`slice2d expects a rank-2 tensor, but got a rank-${n.rank} tensor`),Dt(n,t,e)}var uh=k({slice2d_:Ij});function vj(r,t,e){let n=I(r,"x","slice3d");return E(n.rank===3,()=>`slice3d expects a rank-3 tensor, but got a rank-${n.rank} tensor`),Dt(n,t,e)}var hm=k({slice3d_:vj});function Sj(r,t,e){let n=I(r,"x","slice4d");return E(n.rank===4,()=>`slice4d expects a rank-4 tensor, but got a rank-${n.rank} tensor`),Dt(n,t,e)}var ec=k({slice4d_:Sj});function Nj(r,t=-1){let e=I(r,"logits","softmax","float32");if(t===-1&&(t=e.rank-1),t!==e.rank-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${e.rank} and dim was ${t}`);let n={logits:e},o={dim:t};return T.runKernel($s,n,o)}var ou=k({softmax_:Nj});function kj(r){E(r.dtype==="complex64",()=>`The dtype for tf.spectral.fft() must be complex64 but got ${r.dtype}.`);let t={input:r};return T.runKernel(Cp,t)}var su=k({fft_:kj});function Tj(r){E(r.dtype==="complex64",()=>`The dtype for tf.spectral.ifft() must be complex64 but got ${r.dtype}.`);let t={input:r};return T.runKernel(Ip,t)}var Za=k({ifft_:Tj});function Ej(r){let t=r.shape[r.shape.length-1],e=r.size/t,n;if(t<=2){let o=D(r,[e,t]);n=Za(o)}else{let o=[e,2*(t-1)],s=D(Xa(r),[e,t]),i=D(Kl(r),[e,t]),a=ur(Dt(s,[0,1],[e,t-2]),1),u=R(ur(Dt(i,[0,1],[e,t-2]),1),mt(-1)),l=ne([s,a],1),c=ne([i,u],1),p=D(bn(l,c),[o[0],o[1]]);n=Za(p)}if(n=Xa(n),r.rank===3&&r.shape[0]!==0){let o=n,s=r.shape[0];n=D(n,[s,n.shape[0]/s,n.shape[1]]),o.dispose()}return n}var gm=k({irfft_:Ej});function _j(r,t,e=0){let o={x:I(r,"x","split")},s={numOrSizeSplits:t,axis:e};return T.runKernel(gi,o,s)}var cr=k({split_:_j});function Aj(r,t){E(r.dtype==="float32",()=>`The dtype for rfft() must be real value but got ${r.dtype}`);let e=r.shape[r.shape.length-1],n=r.size/e,o;if(t!=null&&t0),h=r.shape.map(g=>g);h[r.shape.length-1]=t,o=Dt(r,d,h),e=t}else if(t!=null&&t>e){let d=r.shape.map(h=>h);d[r.shape.length-1]=t-e,o=ne([r,Ne(d)],r.shape.length-1),e=t}else o=r;let s=It(o),i=D(bn(o,s),[n,e]),a=su(i),u=Math.floor(e/2)+1,l=Xa(a),c=Kl(a),p=cr(l,[u,e-u],l.shape.length-1),m=cr(c,[u,e-u],c.shape.length-1),f=o.shape.slice();return f[o.shape.length-1]=u,D(bn(p[0],m[0]),f)}var iu=k({rfft_:Aj});function $j(r,t){let e=I(r,"a","squaredDifference"),n=I(t,"b","squaredDifference");[e,n]=Wt(e,n),Pt(e.shape,n.shape);let o={a:e,b:n},s={};return T.runKernel(Ds,o,s)}var xm=k({squaredDifference_:$j});function Dj(r,t){let e=I(r,"x","squeeze","string_or_numeric");return D(e,Xv(e.shape,t).newShape)}var Pn=k({squeeze_:Dj});function Rj(r,t=0){let e=qa(r,"tensors","stack","string_or_numeric");E(e.length>=1,()=>"Pass at least one tensor to tf.stack"),e.length>0&&E(t<=e[0].rank,()=>"Axis must be <= rank of the tensor");let n=e,o={axis:t};return T.runKernel(pi,n,o)}var rr=k({stack_:Rj});function Fj(r,t=0){let n={x:I(r,"x","step")},o={alpha:t};return T.runKernel(uo,n,o)}var yo=k({step_:Fj});function Oj(r,t,e,n,o=0,s=0,i=0,a=0,u=0){let c={x:I(r,"x","stridedSlice","string_or_numeric")},p={begin:t,end:e,strides:n,beginMask:o,endMask:s,ellipsisMask:i,newAxisMask:a,shrinkAxisMask:u};return T.runKernel(Va,c,p)}var Zx=k({stridedSlice_:Oj});function Pj(r){let e={x:I(r,"x","tan","float32")};return T.runKernel(Fs,e)}var Jx=k({tan_:Pj});function Le(r,t){Xn(r);let e=Mr(r,t);if(e.length!==1)throw new Error("tensor1d() requires values to be a flat/TypedArray");return on(r,null,e,t)}function Bs(r,t,e){if(Xn(r),t!=null&&t.length!==2)throw new Error("tensor2d() requires shape to have two numbers");let n=Mr(r,e);if(n.length!==2&&n.length!==1)throw new Error("tensor2d() requires values to be number[][] or flat/TypedArray");if(n.length===1&&t==null)throw new Error("tensor2d() requires shape to be provided when `values` are a flat/TypedArray");return on(r,t,n,e)}function k_(r,t,e){if(Xn(r),t!=null&&t.length!==4)throw new Error("tensor4d() requires shape to have four numbers");let n=Mr(r,e);if(n.length!==4&&n.length!==1)throw new Error("tensor4d() requires values to be number[][][][] or flat/TypedArray");if(n.length===1&&t==null)throw new Error("tensor4d() requires shape to be provided when `values` are a flat array");return on(r,t,n,e)}function T_(r,t,e){if(Xn(r),t!=null&&t.length!==5)throw new Error("tensor5d() requires shape to have five numbers");let n=Mr(r,e);if(n.length!==5&&n.length!==1)throw new Error("tensor5d() requires values to be number[][][][][] or flat/TypedArray");if(n.length===1&&t==null)throw new Error("tensor5d() requires shape to be provided when `values` are a flat array");return on(r,t,n,e)}function E_(r,t,e){if(Xn(r),t!=null&&t.length!==6)throw new Error("tensor6d() requires shape to have six numbers");let n=Mr(r,e);if(n.length!==6&&n.length!==1)throw new Error("tensor6d() requires values to be number[][][][][][] or flat/TypedArray");if(n.length===1&&t==null)throw new Error("tensor6d() requires shape to be provided when `values` are a flat array");return t=t||n,on(r,t,n,e)}function Lj(r,t=1,e=!0){let n=I(r,"x","topk");if(n.rank===0)throw new Error("topk() expects the input to be of rank 1 or higher");let o=n.shape[n.shape.length-1];if(t<0)throw new Error(`'k' passed to topk() must be >= 0 but got ${t}`);if(t>o)throw new Error(`'k' passed to topk() must be <= the last dimension (${o}) but got ${t}`);let s={x:n},i={k:t,sorted:e},[a,u]=T.runKernel(Ga,s,i);return{values:a,indices:u}}var Qx=k({topk_:Lj});function Mj(r,t=0,e=1,n,o){if(n!=null&&n==="bool")throw new Error("Unsupported data type $ { dtype }");let s=new Qu(t,e,n,!0,o),i=wt(r,n);for(let a=0;a0,()=>"The input tensor must be at least 1D");let n={x:e},o={axis:t},[s,i]=T.runKernel(Lp,n,o);return{values:s,indices:i}}var ty=k({unique_:zj});function Bj(r,t,e){let n=I(r,"x","unsortedSegmentSum"),o=I(t,"segmentIds","unsortedSegmentSum","int32");E(ea(e),()=>"numSegments must be of dtype int");let s={x:n,segmentIds:o},i={numSegments:e};return T.runKernel(Vl,s,i)}var bm=k({unsortedSegmentSum_:Bj});function Vj(r,t=0){let e=I(r,"x","unstack","string_or_numeric");E(t>=-e.shape.length&&t`Axis = ${t} is not in [-${e.shape.length}, ${e.shape.length})`);let n={value:e},o={axis:t};return T.runKernel(xi,n,o)}var vr=k({unstack_:Vj});function __(r,t){return ah(r,t,"right")}function ey(r,t=!0,e,n){return T.makeVariable(r,t,e,n)}function ry(r,t){let e=[];for(let s=0;s0,()=>"mask cannot be scalar"),$e(a.slice(s,s+i),o.shape,"mask's shape must match the first K dimensions of tensor's shape,");let u=1;for(let h=s;h"Shape mismatch in v and x");let u=mt(1),l=ct(u,a),c=R(ct(i,s),l);if(o){E(n!=null,()=>"When using zeroDebias: true, step is required.");let p=I(n,"step","movingAverage");c=pt(c,ct(u,an(a,p)))}return X(s,c)}var qj=k({movingAverage_:Hj});function Kj(r,t,e){let n=I(r,"indices","scatterND","int32"),o=I(t,"updates","scatterND");tx(o,n,e);let s={indices:n,updates:o},i={shape:e};return T.runKernel(Oa,s,i)}var jj=k({scatterND_:Kj});function A_(r,t,e,n){if(r.dtype!=="int32")throw new Error(`tf.sparseToDense() expects the indices to be int32 type, but the dtype was ${r.dtype}.`);if(r.rank>2)throw new Error(`sparseIndices should be a scalar, vector, or matrix, but got shape ${r.shape}.`);let o=r.rank>0?r.shape[0]:1,s=r.rank>1?r.shape[1]:1;if(e.length!==s)throw new Error(`outputShape has incorrect number of elements:, ${e.length}, should be: ${s}.`);let i=t.size;if(!(t.rank===0||t.rank===1&&i===o))throw new Error(`sparseValues has incorrect shape ${t.shape}, should be [] or [${o}]`);if(t.dtype!==n.dtype)throw new Error("sparseValues.dtype must match defaultValues.dtype")}function Yj(r,t,e,n=0){let o=I(r,"sparseIndices","sparseToDense","int32"),s=I(t,"sparseValues","sparseToDense","string_or_numeric"),i=I(n,"defaultValue","sparseToDense",s.dtype);A_(o,s,e,i);let a={sparseIndices:o,sparseValues:s,defaultValue:i},u={outputShape:e};return T.runKernel(Pp,a,u)}var Zj=k({sparseToDense_:Yj});function Jj(r,t){let e=I(t,"indices","gatherND","int32"),o={params:I(r,"x","gatherND","string_or_numeric"),indices:e};return T.runKernel(ya,o)}var Qj=k({gatherND_:Jj});function $_(r,t){if(t==null)return r.shape.slice();if(An(r.shape,t))return t;if(r.shape.length===t.length){let e=[];for(let n=0;n`x has to be a floating point tensor since it's going to be scaled, but got a ${o.dtype} tensor instead.`),E(t>=0&&t<1,()=>`rate must be a float in the range [0, 1), but got ${t}.`),t===0)return r instanceof Ft?o.clone():o;let s=$_(o,e),i=1-t,a=pt(Fi(X(Li(s,0,1,"float32",n),i)),i);return R(o,a)}var n0=k({dropout_:t6});function o0(r){return Math.floor(Math.pow(2,Math.ceil(Math.log(r)/Math.log(2))))}function ch(r,t,e){let n=1-r%2,o=new Float32Array(r);for(let s=0;s1,()=>`inTopK() expects the predictions to be of rank 2 or higher, but got ${n.rank}`),E(n.rank-1===o.rank,()=>`predictions rank should be 1 larger than targets rank, but got predictions rank ${n.rank} and targets rank ${o.rank}`),$e(n.shape.slice(0,n.shape.length-1),o.shape,"predictions's shape should be align with the targets' shape, except the last dimension.");let s=n.shape[n.shape.length-1];E(e>0&&e<=s,()=>`'k' passed to inTopK() must be > 0 && <= the predictions last dimension (${s}), but got ${e}`);let i=await n.data(),a=await o.data(),[u,l]=[i.length/s,s],c=Yv("bool",u);for(let p=0;pg.value-h.value),c[p]=0;for(let h=0;hD_,depthwiseConv2d:()=>R_,matMul:()=>F_});function n6(r,t,e,n,o,s="NHWC",i){let a=r;r.rank===3&&(a=D(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let u=t;u.rank===3&&(u=D(t,[1,t.shape[0],t.shape[1],t.shape[2]])),E(a.rank===4,()=>`Error in conv2dDerFilter: input must be rank 4, but got shape ${a.shape}.`),E(u.rank===4,()=>`Error in conv2dDerFilter: dy must be rank 4, but got shape ${u.shape}.`),E(e.length===4,()=>`Error in conv2dDerFilter: filterShape must be length 4, but got ${e}.`);let l=s==="NHWC"?a.shape[3]:a.shape[1],c=s==="NHWC"?u.shape[3]:u.shape[1];E(l===e[2],()=>`Error in conv2dDerFilter: depth of input ${l}) must match input depth in filter (${e[2]}.`),E(c===e[3],()=>`Error in conv2dDerFilter: depth of dy (${c}) must match output depth for filter (${e[3]}).`),Ie("conv2dDerFilter",o,i);let p={x:a,dy:u},m={strides:n,pad:o,dataFormat:s,dimRoundingMode:i,filterShape:e};return T.runKernel(mp,p,m)}var wm=k({conv2DBackpropFilter_:n6});function rc(r,t,e){if(e==null||e==="linear")return r;if(e==="relu")return R(r,yo(t));throw new Error(`Cannot compute gradient for fused activation ${e}.`)}function nc(r,t){let e=t,n=ge(r.shape,t.shape);return n.length>0&&(e=ft(e,n)),D(e,r.shape)}function oc(r,t,e,n){if(t==="linear")return r;if(t==="relu")return Rr(r);if(t==="elu")return Ri(r);if(t==="relu6")return am(r);if(t==="prelu")return ru(r,e);if(t==="leakyrelu")return Zl(r,n);if(t==="sigmoid")return Xr(r);throw new Error(`Unknown fused activation ${t}.`)}var sc=(r,t)=>!(r>0)||t==="linear";function o6({x:r,filter:t,strides:e,pad:n,dataFormat:o="NHWC",dilations:s=[1,1],dimRoundingMode:i,bias:a,activation:u="linear",preluActivationWeights:l,leakyreluAlpha:c}){if(u=u||"linear",sc(T.state.gradientDepth,u)===!1){E(o==="NHWC",()=>`Error in fused conv2d: got dataFormat of ${o} but only NHWC is currently supported for the case of gradient depth is 0 and the activation is not linear.`);let _=Cn(r,t,e,n,o,s,i);return a!=null&&(_=X(_,a)),oc(_,u,l,c)}let p=I(r,"x","conv2d","float32"),m=I(t,"filter","conv2d","float32"),f=p,d=!1;p.rank===3&&(d=!0,f=D(p,[1,p.shape[0],p.shape[1],p.shape[2]])),E(f.rank===4,()=>`Error in fused conv2d: input must be rank 4, but got rank ${f.rank}.`),E(m.rank===4,()=>`Error in fused conv2d: filter must be rank 4, but got rank ${m.rank}.`),Ie("fused conv2d",n,i);let h=o==="NHWC"?f.shape[3]:f.shape[1];E(m.shape[2]===h,()=>`Error in conv2d: depth of input (${h}) must match input depth for filter ${m.shape[2]}.`),E(_r(e,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${e} and dilations '${s}'`);let g=Ku(f.shape,m.shape,e,s,n,i),x;a!=null&&(x=I(a,"bias","fused conv2d"),[x]=Wt(x,p),o==="NHWC"?Pt(g.outShape,x.shape):(E(x.shape.length<=1,()=>`Error in fused conv2d: only supports scalar or 1-D Tensor bias for NCHW format but got the bias of rank-${x.shape.length}.`),E(x.shape.length===0||x.shape[0]===g.outChannels||x.shape[0]===1,()=>`Error in fused conv2d: bias shape (${x.shape}) is not compatible with the number of output channels (${g.outChannels})`)));let b;if(l!=null){let _=l.shape;if(E(_.length<=1||_.length===3,()=>`Error in fused conv2d: only supports scalar, 1-D Tensor or 3-D Tensor PReLU activation weights but got a tensor of rank-${_.length}.`),_.length===1)E(_[0]===1||_[0]===g.outChannels,()=>`Error in fused conv2d: PReLU activation weights (${_}) is not compatible with the number of output channels (${g.outChannels}).`);else if(_.length===3)try{Pt(_,g.outShape)}catch(A){let $=`Error in fused conv2d: PReLU activation weights (${_}) is not compatible with the output shape of the conv2d (${g.outShape}).`;throw Error($)}b=I(l,"prelu weights","fused conv2d")}let w=(_,A)=>{E(o==="NHWC",()=>`Error in gradient of fused conv2D: got dataFormat of ${o} but only NHWC is currently supported.`);let[$,F,P,V]=A,G=rc(_,P,u);E(Qn(s),()=>`Error in gradient of fused conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`);let W=Qp(F.shape,G,$,e,n),q=wm(F,G,$.shape,e,n),H=[W,q];if(V!=null){let j=nc(V,G);H.push(j)}return H},C={x:f,filter:m,bias:x,preluActivationWeights:b},N={strides:e,pad:n,dataFormat:o,dilations:s,dimRoundingMode:i,activation:u,leakyreluAlpha:c};return a==null?ln((A,$,F)=>{let P=T.runKernel(wi,C,N);return F([$,A,P]),d&&(P=D(P,[P.shape[1],P.shape[2],P.shape[3]])),{value:P,gradFunc:w}})(f,m):ln((A,$,F,P)=>{let V=T.runKernel(wi,C,N);return P([$,A,V,F]),d&&(V=D(V,[V.shape[1],V.shape[2],V.shape[3]])),{value:V,gradFunc:w}})(f,m,x)}var D_=k({fusedConv2d_:o6});function s6(r,t,e,n,o,s=[1,1],i){let a=r;r.rank===3&&(a=D(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let u=t;u.rank===3&&(u=D(t,[1,t.shape[0],t.shape[1],t.shape[2]]));let l={x:a,dy:u},c={strides:n,pad:o,dimRoundingMode:i,dilations:s,filterShape:e};return T.runKernel(gp,l,c)}var oy=k({depthwiseConv2dNativeBackpropFilter_:s6});function i6(r,t,e,n,o,s=[1,1],i){let a=t,u=!1;t.rank===3&&(u=!0,a=D(t,[1,t.shape[0],t.shape[1],t.shape[2]]));let l={dy:a,filter:e},c={strides:n,pad:o,dimRoundingMode:i,dilations:s,inputShape:r},p=T.runKernel(xp,l,c);return u?D(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var sy=k({depthwiseConv2dNativeBackpropInput_:i6});function a6({x:r,filter:t,strides:e,pad:n,dataFormat:o="NHWC",dilations:s=[1,1],dimRoundingMode:i,bias:a,activation:u="linear",preluActivationWeights:l,leakyreluAlpha:c}){if(sc(T.state.gradientDepth,u)===!1){let N=Di(r,t,e,n,o,s,i);return a!=null&&(N=X(N,a)),oc(N,u,l,c)}let p=I(r,"x","depthwiseConv2d","float32"),m=I(t,"filter","depthwiseConv2d","float32"),f=p,d=!1;p.rank===3&&(d=!0,f=D(p,[1,p.shape[0],p.shape[1],p.shape[2]])),E(f.rank===4,()=>`Error in fused depthwiseConv2d: input must be rank 4, but got rank ${f.rank}.`),E(m.rank===4,()=>`Error in fused depthwiseConv2d: filter must be rank 4, but got rank ${m.rank}.`),E(f.shape[3]===m.shape[2],()=>`Error in fused depthwiseConv2d: number of input channels (${f.shape[3]}) must match the inChannels dimension in filter ${m.shape[2]}.`),s==null&&(s=[1,1]),E(_r(e,s),()=>`Error in fused depthwiseConv2d: Either strides or dilations must be 1. Got strides ${e} and dilations '${s}'`),Ie("fused depthwiseConv2d",n,i);let h=Ku(f.shape,m.shape,e,s,n,i,!0),g;a!=null&&(g=I(a,"bias","fused conv2d"),[g]=Wt(g,p),Pt(h.outShape,g.shape));let x;l!=null&&(x=I(l,"prelu weights","fused depthwiseConv2d"));let b=(N,_)=>{E(Qn(s),()=>`Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '${s}'`);let[A,$,F,P]=_,V=rc(N,F,u),G=sy($.shape,V,A,e,n,s,i),W=oy($,V,A.shape,e,n,s,i);if(P!=null){let q=nc(g,V);return[G,W,q]}return[G,W]},w={x:f,filter:m,bias:g,preluActivationWeights:x},C={strides:e,pad:n,dataFormat:o,dilations:s,dimRoundingMode:i,activation:u,leakyreluAlpha:c};return a==null?ln((_,A,$)=>{let F=T.runKernel(Ci,w,C);return $([A,_,F]),d&&(F=D(F,[F.shape[1],F.shape[2],F.shape[3]])),{value:F,gradFunc:b}})(f,m):ln((_,A,$,F)=>{let P=T.runKernel(Ci,w,C);return F([A,_,P,$]),d&&(P=D(P,[P.shape[1],P.shape[2],P.shape[3]])),{value:P,gradFunc:b}})(f,m,g)}var R_=k({fusedDepthwiseConv2d_:a6});function l6({a:r,b:t,transposeA:e=!1,transposeB:n=!1,bias:o,activation:s="linear",preluActivationWeights:i,leakyreluAlpha:a=.2}){if(sc(T.state.gradientDepth,s)===!1){let V=Lt(r,t,e,n);return o!=null&&(V=X(V,o)),oc(V,s,i,a)}let u=I(r,"a","fused matMul"),l=I(t,"b","fused matMul");[u,l]=Wt(u,l);let c=e?u.shape[u.rank-2]:u.shape[u.rank-1],p=n?l.shape[l.rank-1]:l.shape[l.rank-2],m=e?u.shape[u.rank-1]:u.shape[u.rank-2],f=n?l.shape[l.rank-2]:l.shape[l.rank-1],d=u.shape.slice(0,-2),h=l.shape.slice(0,-2),g=Zt(d),x=Zt(h);E(c===p,()=>`Error in fused matMul: inner shapes (${c}) and (${p}) of Tensors with shapes ${u.shape} and ${l.shape} and transposeA=${e} and transposeB=${n} must match.`);let w=Pt(u.shape.slice(0,-2),l.shape.slice(0,-2)).concat([m,f]),C=e?D(u,[g,c,m]):D(u,[g,m,c]),N=n?D(l,[x,f,p]):D(l,[x,p,f]),_;o!=null&&(_=I(o,"bias","fused matMul"),[_]=Wt(_,u),Pt(w,_.shape));let A;i!=null&&(A=I(i,"prelu weights","fused matMul"));let $=(V,G)=>{let[W,q,H,j]=G,Y=rc(D(V,H.shape),H,s),Z,et;if(!e&&!n?(Z=Lt(Y,q,!1,!0),et=Lt(W,Y,!0,!1)):!e&&n?(Z=Lt(Y,q,!1,!1),et=Lt(Y,W,!0,!1)):e&&!n?(Z=Lt(q,Y,!1,!0),et=Lt(W,Y,!1,!1)):(Z=Lt(q,Y,!0,!0),et=Lt(Y,W,!0,!0)),o!=null){let rt=nc(j,Y);return[Z,et,rt]}else return[Z,et]},F={a:C,b:N,bias:_,preluActivationWeights:A},P={transposeA:e,transposeB:n,activation:s,leakyreluAlpha:a};return o==null?ln((G,W,q)=>{let H=T.runKernel(bi,F,P);return q([G,W,H]),{value:D(H,w),gradFunc:$}})(C,N):ln((G,W,q,H)=>{let j=T.runKernel(bi,F,P);return H([G,W,j,q]),{value:D(j,w),gradFunc:$}})(C,N,_)}var F_=k({fusedMatMul_:l6});function u6(r){return ch(r,.54,.46)}var O_=k({hammingWindow_:u6});function c6(r){return ch(r,.5,.5)}var iy=k({hannWindow_:c6});function p6(r,t,e,n=!1,o=0){let s=0,i=[];for(;s+t<=r.size;)i.push(Dt(r,s,t)),s+=e;if(n)for(;s`Error in cropAndResize: image must be rank 4,but got rank ${i.rank}.`),E(a.rank===2&&a.shape[1]===4,()=>`Error in cropAndResize: boxes must be have size [${l},4] but had shape ${a.shape}.`),E(u.rank===1&&u.shape[0]===l,()=>`Error in cropAndResize: boxInd must be have size [${l}] but had shape ${a.shape}.`),E(n.length===2,()=>`Error in cropAndResize: cropSize must be of length 2, but got length ${n.length}.`),E(n[0]>=1&&n[1]>=1,()=>`cropSize must be atleast [1,1], but was ${n}`),E(o==="bilinear"||o==="nearest",()=>`method must be bilinear or nearest, but was ${o}`);let c={image:i,boxes:a,boxInd:u},p={method:o,extrapolationValue:s,cropSize:n};return T.runKernel(ma,c,p)}var L_=k({cropAndResize_:f6});function d6(r){let t=I(r,"image","flipLeftRight","float32");E(t.rank===4,()=>`Error in flipLeftRight: image must be rank 4,but got rank ${t.rank}.`);let e={image:t};return T.runKernel(xa,e,{})}var M_=k({flipLeftRight_:d6});function h6(r){let t=I(r,"image","grayscaleToRGB"),e=t.rank-1,n=t.shape[e];E(t.rank>=2,()=>`Error in grayscaleToRGB: images must be at least rank 2, but got rank ${t.rank}.`),E(n===1,()=>`Error in grayscaleToRGB: last dimension of a grayscale image should be size 1, but got size ${n}.`);let o=new Array(t.rank);return o.fill(1,0,e),o[e]=3,$r(t,o)}var z_=k({grayscaleToRGB_:h6});function g6(r,t,e=0,n=.5){let o=I(r,"image","rotateWithOffset","float32");E(o.rank===4,()=>`Error in rotateWithOffset: image must be rank 4,but got rank ${o.rank}.`);let s={image:o},i={radians:t,fillValue:e,center:n};return T.runKernel(Ua,s,i)}var B_=k({rotateWithOffset_:g6});function bo(r,t,e,n,o,s){n==null&&(n=.5),o==null&&(o=Number.NEGATIVE_INFINITY),s==null&&(s=0);let i=r.shape[0];return e=Math.min(e,i),E(0<=n&&n<=1,()=>`iouThreshold must be in [0, 1], but was '${n}'`),E(r.rank===2,()=>`boxes must be a 2D tensor, but was of rank '${r.rank}'`),E(r.shape[1]===4,()=>`boxes must have 4 columns, but 2nd dimension was ${r.shape[1]}`),E(t.rank===1,()=>"scores must be a 1D tensor"),E(t.shape[0]===i,()=>`scores has incompatible shape with boxes. Expected ${i}, but was ${t.shape[0]}`),E(0<=s&&s<=1,()=>`softNmsSigma must be in [0, 1], but was '${s}'`),{maxOutputSize:e,iouThreshold:n,scoreThreshold:o,softNmsSigma:s}}function x6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY){let s=I(r,"boxes","nonMaxSuppression","float32"),i=I(t,"scores","nonMaxSuppression","float32"),a=bo(s,i,e,n,o);e=a.maxOutputSize,n=a.iouThreshold,o=a.scoreThreshold;let u={maxOutputSize:e,iouThreshold:n,scoreThreshold:o};return T.runKernel($a,{boxes:s,scores:i},u)}var V_=k({nonMaxSuppression_:x6});function G_(r,t,e){let n=y6(r,t,e),o=n<0?-(n+1):n;r.splice(o,0,t)}function y6(r,t,e){return w6(r,t,e||b6)}function b6(r,t){return r>t?1:r>>1);let a=e(t,r[s]);a>0?n=s+1:(o=s,i=!a)}return i?n:-n-1}function ly(r,t,e,n,o){return s0(r,t,e,n,o,0)}function uy(r,t,e,n,o,s){return s0(r,t,e,n,o,0,!1,s,!0)}function cy(r,t,e,n,o,s){return s0(r,t,e,n,o,s,!0)}function s0(r,t,e,n,o,s,i=!1,a=!1,u=!1){let l=[];for(let g=0;go&&l.push({score:t[g],boxIndex:g,suppressBeginIndex:0});l.sort(W_);let c=s>0?-.5/s:0,p=[],m=[];for(;p.length0;){let g=l.pop(),{score:x,boxIndex:b,suppressBeginIndex:w}=g;if(x=w;--N){let _=C6(r,b,p[N]);if(_>=n){C=!0;break}if(g.score=g.score*I6(n,c,_),g.score<=o)break}g.suppressBeginIndex=p.length,C||(g.score===x?(p.push(b),m.push(g.score)):g.score>o&&G_(l,g,W_))}let f=p.length,d=e-f;a&&d>0&&(p.push(...new Array(d).fill(0)),m.push(...new Array(d).fill(0)));let h={selectedIndices:p};return i&&(h.selectedScores=m),u&&(h.validOutputs=f),h}function C6(r,t,e){let n=r.subarray(t*4,t*4+4),o=r.subarray(e*4,e*4+4),s=Math.min(n[0],n[2]),i=Math.min(n[1],n[3]),a=Math.max(n[0],n[2]),u=Math.max(n[1],n[3]),l=Math.min(o[0],o[2]),c=Math.min(o[1],o[3]),p=Math.max(o[0],o[2]),m=Math.max(o[1],o[3]),f=(a-s)*(u-i),d=(p-l)*(m-c);if(f<=0||d<=0)return 0;let h=Math.max(s,l),g=Math.max(i,c),x=Math.min(a,p),b=Math.min(u,m),w=Math.max(x-h,0)*Math.max(b-g,0);return w/(f+d-w)}function I6(r,t,e){let n=Math.exp(t*e*e);return e<=r?n:0}function W_(r,t){return r.score-t.score||r.score===t.score&&t.boxIndex-r.boxIndex}async function v6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY){let s=I(r,"boxes","nonMaxSuppressionAsync"),i=I(t,"scores","nonMaxSuppressionAsync"),a=bo(s,i,e,n,o);e=a.maxOutputSize,n=a.iouThreshold,o=a.scoreThreshold;let u=await Promise.all([s.data(),i.data()]),l=u[0],c=u[1],{selectedIndices:p}=ly(l,c,e,n,o);return s!==r&&s.dispose(),i!==t&&i.dispose(),Le(p,"int32")}var U_=v6;function S6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY,s=0){let i=I(r,"boxes","nonMaxSuppression"),a=I(t,"scores","nonMaxSuppression"),u=bo(i,a,e,n,o,s);e=u.maxOutputSize,n=u.iouThreshold,o=u.scoreThreshold,s=u.softNmsSigma;let l={boxes:i,scores:a},c={maxOutputSize:e,iouThreshold:n,scoreThreshold:o,softNmsSigma:s},p=T.runKernel(Ra,l,c);return{selectedIndices:p[0],selectedScores:p[1]}}var H_=k({nonMaxSuppressionWithScore_:S6});async function N6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY,s=0){let i=I(r,"boxes","nonMaxSuppressionAsync"),a=I(t,"scores","nonMaxSuppressionAsync"),u=bo(i,a,e,n,o,s);e=u.maxOutputSize,n=u.iouThreshold,o=u.scoreThreshold,s=u.softNmsSigma;let l=await Promise.all([i.data(),a.data()]),c=l[0],p=l[1],{selectedIndices:m,selectedScores:f}=cy(c,p,e,n,o,s);return i!==r&&i.dispose(),a!==t&&a.dispose(),{selectedIndices:Le(m,"int32"),selectedScores:Le(f)}}var q_=N6;function k6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY,s=!1){let i=I(r,"boxes","nonMaxSuppression"),a=I(t,"scores","nonMaxSuppression"),u=bo(i,a,e,n,o,null),l=u.maxOutputSize,c=u.iouThreshold,p=u.scoreThreshold,m={boxes:i,scores:a},f={maxOutputSize:l,iouThreshold:c,scoreThreshold:p,padToMaxOutputSize:s},d=T.runKernel(Da,m,f);return{selectedIndices:d[0],validOutputs:d[1]}}var K_=k({nonMaxSuppressionPadded_:k6});async function T6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY,s=!1){let i=I(r,"boxes","nonMaxSuppressionAsync"),a=I(t,"scores","nonMaxSuppressionAsync"),u=bo(i,a,e,n,o,null),l=u.maxOutputSize,c=u.iouThreshold,p=u.scoreThreshold,[m,f]=await Promise.all([i.data(),a.data()]),{selectedIndices:d,validOutputs:h}=uy(m,f,l,c,p,s);return i!==r&&i.dispose(),a!==t&&a.dispose(),{selectedIndices:Le(d,"int32"),validOutputs:mt(h,"int32")}}var j_=T6;function E6(r,t,e=!1,n=!1){let o=I(r,"images","resizeBilinear");E(o.rank===3||o.rank===4,()=>`Error in resizeBilinear: x must be rank 3 or 4, but got rank ${o.rank}.`),E(t.length===2,()=>`Error in resizeBilinear: new shape must 2D, but got shape ${t}.`),E(n===!1||e===!1,()=>"Error in resizeBilinear: If halfPixelCenters is true, alignCorners must be false.");let s=o,i=!1;o.rank===3&&(i=!0,s=D(o,[1,o.shape[0],o.shape[1],o.shape[2]]));let[]=t,a={images:s},u={alignCorners:e,halfPixelCenters:n,size:t},l=T.runKernel(Is,a,u);return i?D(l,[l.shape[1],l.shape[2],l.shape[3]]):l}var py=k({resizeBilinear_:E6});function _6(r,t,e=!1,n=!1){let o=I(r,"images","resizeNearestNeighbor");E(o.rank===3||o.rank===4,()=>`Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank ${o.rank}.`),E(t.length===2,()=>`Error in resizeNearestNeighbor: new shape must 2D, but got shape ${t}.`),E(o.dtype==="float32"||o.dtype==="int32",()=>"`images` must have `int32` or `float32` as dtype"),E(n===!1||e===!1,()=>"Error in resizeNearestNeighbor: If halfPixelCenters is true, alignCorners must be false.");let s=o,i=!1;o.rank===3&&(i=!0,s=D(o,[1,o.shape[0],o.shape[1],o.shape[2]]));let[]=t,a={images:s},u={alignCorners:e,halfPixelCenters:n,size:t},l=T.runKernel(Cs,a,u);return i?D(l,[l.shape[1],l.shape[2],l.shape[3]]):l}var my=k({resizeNearestNeighbor_:_6});function A6(r,t="binary",e=!1,n=.5){let o=I(r,"image","threshold"),s=.2989,i=.587,a=.114,u=o.shape[0]*o.shape[1],l=R(Le([n]),255),c,p,m,f;if(E(o.rank===3,()=>`Error in threshold: image must be rank 3,but got rank ${o.rank}.`),E(o.shape[2]===3||o.shape[2]===1,()=>`Error in threshold: image color channel must be equal to 3 or 1but got ${o.shape[2]}.`),E(o.dtype==="int32"||o.dtype==="float32",()=>`Error in dtype: image dtype must be int32 or float32,but got dtype ${o.dtype}.`),E(t==="otsu"||t==="binary",()=>`Method must be binary or otsu, but was ${t}`),o.shape[2]===3){[c,p,m]=cr(o,[1,1,1],-1);let g=R(c,s),x=R(p,i),b=R(m,a);f=X(X(g,x),b)}else f=r;if(t==="otsu"){let g=hx(J(lm(f),"int32"),wr([]),256);l=$6(g,u)}let d=e?On(f,l):He(f,l);return J(R(d,255),"int32")}function $6(r,t){let e=Le([-1]),n=Le([0]),o=Le([0]),s,i,a,u,l,c;for(let p=0;p`Error in transform: image must be rank 4,but got rank ${i.rank}.`),E(a.rank===2&&(a.shape[0]===i.shape[0]||a.shape[0]===1)&&a.shape[1]===8,()=>"Error in transform: Input transform should be batch x 8 or 1 x 8"),E(s==null||s.length===2,()=>`Error in transform: outputShape must be [height, width] or null, but got ${s}.`);let u={image:i,transforms:a},l={interpolation:e,fillMode:n,fillValue:o,outputShape:s};return T.runKernel(Wa,u,l)}var Y_=k({transform_:D6});function R6(r,t,e){E(t%1===0,()=>`bandPart(): numLower must be an integer, got ${t}.`),E(e%1===0,()=>`bandPart(): numUpper must be an integer, got ${e}.`);let n=I(r,"a","bandPart");E(n.rank>=2,()=>`bandPart(): Rank must be at least 2, got ${n.rank}.`);let o=n.shape,[s,i]=n.shape.slice(-2);if(!(t<=s))throw new Error(`bandPart(): numLower (${t}) must not be greater than the number of rows (${s}).`);if(!(e<=i))throw new Error(`bandPart(): numUpper (${e}) must not be greater than the number of columns (${i}).`);t<0&&(t=s),e<0&&(e=i);let a=D(nu(0,s,1,"int32"),[-1,1]),u=nu(0,i,1,"int32"),l=ct(a,u),c=Dr(On(l,mt(+t,"int32")),Fn(l,mt(-e,"int32"))),p=Ne([s,i],n.dtype);return D(rr(vr(D(n,[-1,s,i])).map(m=>_e(c,m,p))),o)}var Z_=k({bandPart_:R6});function F6(r){let t;if(Array.isArray(r)){t=!1,E(r!=null&&r.length>0,()=>"Gram-Schmidt process: input must not be null, undefined, or empty");let o=r[0].shape[0];for(let s=1;s`Gram-Schmidt: Non-unique lengths found in the input vectors: (${r[s].shape[0]} vs. ${o})`)}else t=!0,r=cr(r,r.shape[0],0).map(o=>Pn(o,[0]));E(r.length<=r[0].shape[0],()=>`Gram-Schmidt: Number of vectors (${r.length}) exceeds number of dimensions (${r[0].shape[0]}).`);let e=[],n=r;for(let o=0;o{let s=n[o];if(o>0)for(let i=0;i=2,()=>`qr() requires input tensor to have a rank >= 2, but got rank ${r.rank}`),r.rank===2)return Q_(r,t);{let e=r.shape.slice(0,r.shape.length-2).reduce((u,l)=>u*l),n=vr(D(r,[e,r.shape[r.shape.length-2],r.shape[r.shape.length-1]]),0),o=[],s=[];n.forEach(u=>{let[l,c]=Q_(u,t);o.push(l),s.push(c)});let i=D(rr(o,0),r.shape),a=D(rr(s,0),r.shape);return[i,a]}}function Q_(r,t=!1){return T.tidy(()=>{E(r.shape.length===2,()=>`qr2d() requires a 2D Tensor, but got a ${r.shape.length}D Tensor.`);let e=r.shape[0],n=r.shape[1],o=Yu(e),s=sn(r),i=Bs([[1]],[1,1]),a=sn(i),u=e>=n?n:e;for(let l=0;l{let f=Dt(s,[l,l],[e-l,1]),d=Ya(f),h=Dt(s,[l,l],[1,1]),g=_e(He(h,0),Bs([[-1]]),Bs([[1]])),x=ct(h,R(g,d)),b=pt(f,x);b.shape[0]===1?a=sn(i):a=ne([i,Dt(b,[1,0],[b.shape[0]-1,b.shape[1]])],0);let w=Ut(pt(Lt(g,x),d)),C=Dt(s,[l,0],[e-l,n]),N=R(w,a),_=Ot(a);if(l===0)s=ct(C,Lt(N,Lt(_,C)));else{let F=ct(C,Lt(N,Lt(_,C)));s=ne([Dt(s,[0,0],[l,n]),F],0)}let A=Ot(N),$=Dt(o,[0,l],[e,o.shape[1]-l]);if(l===0)o=ct($,Lt(Lt($,a),A));else{let F=ct($,Lt(Lt($,a),A));o=ne([Dt(o,[0,0],[e,l]),F],1)}return[a,s,o]}),St([c,p,m])}return!t&&e>n&&(o=Dt(o,[0,0],[e,n]),s=Dt(s,[0,0],[n,n])),[o,s]})}var tA=k({qr_:O6});var Xe;(function(r){r[r.NONE=0]="NONE",r[r.MEAN=1]="MEAN",r[r.SUM=2]="SUM",r[r.SUM_BY_NONZERO_WEIGHTS=3]="SUM_BY_NONZERO_WEIGHTS"})(Xe||(Xe={}));function P6(r,t,e=Xe.SUM_BY_NONZERO_WEIGHTS){let n=I(r,"losses","computeWeightedLoss"),o=null;t!=null&&(o=I(t,"weights","computeWeightedLoss"));let s=o==null?n:R(n,o);if(e===Xe.NONE)return s;if(e===Xe.SUM)return ft(s);if(e===Xe.MEAN){if(o==null)return Se(s);{let i=n.size/o.size,a=pt(ft(s),ft(o));return i>1?pt(a,mt(i)):a}}if(e===Xe.SUM_BY_NONZERO_WEIGHTS){if(o==null)return pt(ft(s),mt(n.size));{let i=R(o,lr(n.shape)),a=J(ft(zs(i,mt(0))),"float32");return pt(ft(s),a)}}throw Error(`Unknown reduction: ${e}`)}var Vr=k({computeWeightedLoss_:P6});function L6(r,t,e,n=Xe.SUM_BY_NONZERO_WEIGHTS){let o=I(r,"labels","absoluteDifference"),s=I(t,"predictions","absoluteDifference"),i=null;e!=null&&(i=I(e,"weights","absoluteDifference")),$e(o.shape,s.shape,"Error in absoluteDifference: ");let a=Ee(ct(o,s));return Vr(a,i,n)}var eA=k({absoluteDifference_:L6});function M6(r,t,e,n,o=Xe.SUM_BY_NONZERO_WEIGHTS){let s=I(r,"labels","cosineDistance"),i=I(t,"predictions","cosineDistance"),a=null;n!=null&&(a=I(n,"weights","cosineDistance")),$e(s.shape,i.shape,"Error in cosineDistance: ");let u=mt(1),l=ct(u,ft(R(s,i),e,!0));return Vr(l,a,o)}var rA=k({cosineDistance_:M6});function z6(r,t,e,n=Xe.SUM_BY_NONZERO_WEIGHTS){let o=I(r,"labels","hingeLoss"),s=I(t,"predictions","hingeLoss"),i=null;e!=null&&(i=I(e,"weights","hingeLoss")),$e(o.shape,s.shape,"Error in hingeLoss: ");let a=mt(1);o=ct(R(mt(2),o),a);let u=Rr(ct(a,R(o,s)));return Vr(u,i,n)}var nA=k({hingeLoss_:z6});function B6(r,t,e,n=1,o=Xe.SUM_BY_NONZERO_WEIGHTS){let s=I(r,"labels","huberLoss"),i=I(t,"predictions","huberLoss"),a=null;e!=null&&(a=I(e,"weights","huberLoss")),$e(s.shape,i.shape,"Error in huberLoss: ");let u=mt(n),l=Ee(ct(i,s)),c=Pi(l,u),p=ct(l,c),m=X(R(mt(.5),Mt(c)),R(u,p));return Vr(m,a,o)}var oA=k({huberLoss_:B6});function V6(r,t,e,n=1e-7,o=Xe.SUM_BY_NONZERO_WEIGHTS){let s=I(r,"labels","logLoss"),i=I(t,"predictions","logLoss"),a=null;e!=null&&(a=I(e,"weights","logLoss")),$e(s.shape,i.shape,"Error in logLoss: ");let u=mt(1),l=mt(n),c=Ut(R(s,Ir(X(i,l)))),p=R(ct(u,s),Ir(X(ct(u,i),l))),m=ct(c,p);return Vr(m,a,o)}var sA=k({logLoss_:V6});function G6(r,t,e,n=Xe.SUM_BY_NONZERO_WEIGHTS){let o=I(r,"labels","meanSquaredError"),s=I(t,"predictions","meanSquaredError"),i=null;e!=null&&(i=I(e,"weights","meanSquaredError")),$e(o.shape,s.shape,"Error in meanSquaredError: ");let a=xm(o,s);return Vr(a,i,n)}var iA=k({meanSquaredError_:G6});function W6(r,t){let e=I(r,"labels","sigmoidCrossEntropyWithLogits"),n=I(t,"logits","sigmoidCrossEntropyWithLogits");$e(e.shape,n.shape,"Error in sigmoidCrossEntropyWithLogits: ");let o=Rr(n),s=R(n,e),i=Jl(er(Ut(Ee(n))));return X(ct(o,s),i)}function U6(r,t,e,n=0,o=Xe.SUM_BY_NONZERO_WEIGHTS){let s=I(r,"multiClassLabels","sigmoidCrossEntropy"),i=I(t,"logits","sigmoidCrossEntropy"),a=null;if(e!=null&&(a=I(e,"weights","sigmoidCrossEntropy")),$e(s.shape,i.shape,"Error in sigmoidCrossEntropy: "),n>0){let l=mt(n),c=mt(1),p=mt(.5);s=X(R(s,ct(c,l)),R(p,l))}let u=W6(s,i);return Vr(u,a,o)}var aA=k({sigmoidCrossEntropy_:U6});function H6(r,t,e=-1){if(e===-1&&(e=t.rank-1),e!==t.rank-1)throw Error(`Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank ${t.rank} and dim was ${e}`);return ln((o,s,i)=>{let u=sm(s,[e],!0),l=ct(J(s,"float32"),u);i([o,l]);let c=Ut(R(l,o));return{value:ft(c,[e]),gradFunc:(f,d)=>{let[h,g]=d,x=xo(f.shape,[e]);return[R(D(f,x),ct(J(h,"float32"),er(g))),R(D(f,x),ct(er(g),J(h,"float32")))]}}})(r,t)}function q6(r,t,e,n=0,o=Xe.SUM_BY_NONZERO_WEIGHTS){let s=I(r,"onehotLabels","softmaxCrossEntropy"),i=I(t,"logits","softmaxCrossEntropy"),a=null;if(e!=null&&(a=I(e,"weights","softmaxCrossEntropy")),$e(s.shape,i.shape,"Error in softmaxCrossEntropy: "),n>0){let l=mt(n),c=mt(1),p=mt(s.shape[1]);s=X(R(s,ct(c,l)),pt(l,p))}let u=H6(s,i);return Vr(u,a,o)}var lA=k({softmaxCrossEntropy_:q6});function K6(r,t,e,n){let o=I(r,"indices","sparseFillEmptyRows","int32"),s=I(t,"values","sparseFillEmptyRows"),i=I(e,"denseShape","sparseFillEmptyRows","int32"),a=I(n,"defaultValue","sparseFillEmptyRows",s.dtype);if(o.rank!==2)throw new Error(`Indices should be Tensor2D but received shape - ${o.shape}`);if(s.rank!==1)throw new Error(`Values should be Tensor1D but received shape ${s.shape}`);if(i.rank!==1)throw new Error(`Dense shape should be Tensor1D but received shape ${i.shape}`);if(a.rank!==0)throw new Error(`Default value should be a scalar but received shape ${a.shape}`);let u={indices:o,values:s,denseShape:i,defaultValue:a},l=T.runKernel(Fl,u);return{outputIndices:l[0],outputValues:l[1],emptyRowIndicator:l[2],reverseIndexMap:l[3]}}var uA=k({sparseFillEmptyRows_:K6});function j6(r,t,e){let n=I(r,"inputIndices","sparseReshape","int32"),o=I(t,"inputShape","sparseReshape","int32"),s=I(e,"newShape","sparseReshape","int32");if(n.rank!==2)throw new Error(`Input indices should be Tensor2D but received shape - ${n.shape}`);if(o.rank!==1)throw new Error(`Input shape should be Tensor1D but received shape ${o.shape}`);if(s.rank!==1)throw new Error(`New shape should be Tensor1D but received shape ${s.shape}`);let i={inputIndices:n,inputShape:o,newShape:s},a=T.runKernel(Ba,i);return{outputIndices:a[0],outputShape:a[1]}}var cA=k({sparseReshape_:j6});function X6(r,t,e){let n=I(r,"data","sparseSegmentMean"),o=I(t,"indices","sparseSegmentMean","int32"),s=I(e,"segmentIds","sparseSegmentMean","int32");if(n.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.rank!==1)throw new Error(`Indices should be Tensor1D but received shape + ${n.shape}`),E(i%(t*t)===0,()=>`Dimension size must be evenly divisible by ${t*t} but is ${i} for depthToSpace with input shape ${n.shape}`);let a={x:n},u={blockSize:t,dataFormat:e};return k.runKernel(ha,a,u)}var _x=T({depthToSpace_:Dq});function Rq(r,t,e,n,o="NHWC",s=[1,1],i){let a=I(r,"x","depthwiseConv2d","float32"),u=I(t,"filter","depthwiseConv2d","float32"),l=a,c=!1;a.rank===3&&(c=!0,l=R(a,[1,a.shape[0],a.shape[1],a.shape[2]])),E(l.rank===4,()=>`Error in depthwiseConv2d: input must be rank 4, but got rank ${l.rank}.`),E(u.rank===4,()=>`Error in depthwiseConv2d: filter must be rank 4, but got rank ${u.rank}.`);let p=o==="NHWC"?l.shape[3]:l.shape[1];E(p===u.shape[2],()=>`Error in depthwiseConv2d: number of input channels (${p}) must match the inChannels dimension in filter ${u.shape[2]}.`),Ie("depthwiseConv2d",n,i);let m={x:l,filter:u},f={strides:e,pad:n,dataFormat:o,dilations:s,dimRoundingMode:i},d=k.runKernel(Jo,m,f);return c?R(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var Fi=T({depthwiseConv2d_:Rq});function Fq(r){let e={x:I(r,"x","diag")};return k.runKernel(yp,e)}var WE=T({diag_:Fq});function Oq(r,t,e,n,o=[1,1],s="NHWC"){let i=I(r,"x","dilation2d"),a=I(t,"filter","dilation2d");E(i.rank===3||i.rank===4,()=>`Error in dilation2d: input must be rank 3 or 4, but got rank ${i.rank}.`),E(a.rank===3,()=>`Error in dilation2d: filter must be rank 3, but got rank ${a.rank}.`),E(s==="NHWC",()=>`Error in dilation2d: Only NHWC is currently supported, but got dataFormat of ${s}`);let u=i,l=!1;i.rank===3&&(u=R(i,[1,i.shape[0],i.shape[1],i.shape[2]]),l=!0);let c={x:u,filter:a},p={strides:e,pad:n,dilations:o},m=k.runKernel($l,c,p);return l?R(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var Ax=T({dilation2d_:Oq});function Pq(r,t){let e=I(r,"a","equal","string_or_numeric"),n=I(t,"b","equal","string_or_numeric");[e,n]=Ut(e,n),Pt(e.shape,n.shape);let o={a:e,b:n};return k.runKernel(xa,o)}var $r=T({equal_:Pq});function Lq(r,t,e){let n=I(t,"a","where"),o=I(e,"b","where"),s=I(r,"condition","where","bool"),i=Pt(Pt(s.shape,n.shape),o.shape),a=Ri(s,i),u=Ri(n,i),l=Ri(o,i),c={condition:a,t:u,e:l};return k.runKernel(hi,c)}var _e=T({where_:Lq});function Mq(r){let e={x:I(r,"x","zerosLike")};return k.runKernel(wi,e)}var It=T({zerosLike_:Mq});function zq(r,t){let e=I(r,"a","div"),n=I(t,"b","div");[e,n]=Ut(e,n);let o=pt(e,n),s=It(o),i=$r(n,s);return _e(i,s,o)}var $x=T({divNoNan_:zq});function Bq(r,t){let e=I(r,"t1","dot"),n=I(t,"t2","dot");E((e.rank===1||e.rank===2)&&(n.rank===1||n.rank===2),()=>`Error in dot: inputs must all be rank 1 or 2, but got ranks ${e.rank} and ${n.rank}.`);let o=e.rank===1?e.size:e.shape[1],s=n.rank===1?n.size:n.shape[0];if(E(o===s,()=>`Error in dot: inner dimensions of inputs must match, but got ${o} and ${s}.`),e.rank===1&&n.rank===1){let i=R(e,[1,-1]),a=R(n,[-1,1]),u=Lt(i,a);return R(u,[])}else if(e.rank===1&&n.rank===2){let i=R(e,[1,-1]),a=R(n,[n.shape[0],n.shape[1]]),u=Lt(i,a);return R(u,[u.size])}else if(e.rank===2&&n.rank===1){let i=R(n,[-1,1]),a=Lt(e,i);return R(a,[a.size])}else{let i=R(n,[n.shape[0],n.shape[1]]);return Lt(e,i)}}var Dx=T({dot_:Bq});function Vq(r,...t){let e=t.map((o,s)=>I(o,`tensors${s}`,"einsum")),n={equation:r};return k.runKernel(bp,e,n)}var UE=T({einsum_:Vq});function Gq(r){let e={x:I(r,"x","elu","float32")};return k.runKernel(ts,e)}var Oi=T({elu_:Gq});function Wq(r){let t=I(r,"x","erf");E(t.dtype==="int32"||t.dtype==="float32",()=>"Input dtype must be `int32` or `float32`."),t.dtype==="int32"&&(t=J(t,"float32"));let e={x:t};return k.runKernel(ga,e)}var Rx=T({erf_:Wq});function J0(r,t){for(let e=0;er[s]);return[e,o]}function yo(r,t){let e=t.map(n=>1);return HE(r,e,t)}function Uq(r,t,e){E(J0(t,e),()=>`${r} supports only inner-most axes for now. Got axes ${t} and rank-${e} input.`)}function tv(r,t){if(J0(r,t))return null;let e=[];for(let n=0;ne.push(n)),e}function ph(r){return r.map((t,e)=>[e,t]).sort((t,e)=>t[1]-e[1]).map(t=>t[0])}function Hq(r,t){let e=[];for(let n=t-r;n"Axis must be <= rank of the tensor");let n={input:e},o={dim:t};return k.runKernel(ui,n,o)}var rr=T({expandDims_:eK});function rK(r){let e={x:I(r,"x","expm1")};return k.runKernel(ya,e)}var Ox=T({expm1_:rK});function nK(r,t){let e=I(r,"x","tile","string_or_numeric");E(e.rank===t.length,()=>`Error in transpose: rank of input ${e.rank} must match length of reps ${t}.`);let n={x:e},o={reps:t};return k.runKernel(Jn,n,o)}var Dr=T({tile_:nK});function oK(r,t,e,n="float32"){t==null&&(t=r);let o=wt([r,t],n),s=r<=t?r:t;for(let a=0;a`Error in localResponseNormalization: x must be rank 3 or 4 but got + rank ${s.rank}.`),E(na(t),()=>`Error in localResponseNormalization: depthRadius must be an integer but got depthRadius ${t}.`);let i=s,a=!1;s.rank===3&&(a=!0,i=R(s,[1,s.shape[0],s.shape[1],s.shape[2]]));let u={x:i},l={depthRadius:t,bias:e,alpha:n,beta:o},c=k.runKernel(Rl,u,l);return a?R(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var zx=T({localResponseNormalization_:hK});function gK(r){let e={x:I(r,"x","log","float32")};return k.runKernel(as,e)}var Sr=T({log_:gK});function xK(r){let e={x:I(r,"x","log1p")};return k.runKernel(ka,e)}var tu=T({log1p_:xK});function yK(r){return E(oi(r),()=>"The f passed in grad(f) must be a function"),(t,e)=>{let n=I(t,"x","tf.grad","string_or_numeric"),o=e!=null?I(e,"dy","tf.grad"):null;return k.tidy(()=>{let{value:s,grads:i}=k.gradients(()=>r(n),[n],o);return o!=null&&$e(s.shape,o.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),Vx(i),i[0]})}}function bK(r){return E(oi(r),()=>"The f passed in grads(f) must be a function"),(t,e)=>{E(Array.isArray(t),()=>"The args passed in grads(f)(args) must be an array of `Tensor`s or `TensorLike`s");let n=ja(t,"args","tf.grads","string_or_numeric"),o=e!=null?I(e,"dy","tf.grads"):null;return k.tidy(()=>{let{value:s,grads:i}=k.gradients(()=>r(...n),n,o);return o!=null&&$e(s.shape,o.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Vx(i),i})}}function wK(r){return E(oi(r),()=>"The f passed in valueAndGrad(f) must be a function"),(t,e)=>{E(t instanceof Ft,()=>"The x passed in valueAndGrad(f)(x) must be a tensor"),E(e==null||e instanceof Ft,()=>"The dy passed in valueAndGrad(f)(x, dy) must be a tensor");let{grads:n,value:o}=k.gradients(()=>r(t),[t],e);return Vx(n),{grad:n[0],value:o}}}function CK(r){return E(oi(r),()=>"The f passed in valueAndGrads(f) must be a function"),(t,e)=>{E(Array.isArray(t)&&t.every(o=>o instanceof Ft),()=>"The args passed in valueAndGrads(f)(args) must be array of tensors"),E(e==null||e instanceof Ft,()=>"The dy passed in valueAndGrads(f)(args, dy) must be a tensor");let n=k.gradients(()=>r(...t),t,e);return e!=null&&$e(n.value.shape,e.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Vx(n.grads),n}}function Bx(r,t){E(oi(r),()=>"The f passed in variableGrads(f) must be a function"),E(t==null||Array.isArray(t)&&t.every(l=>l instanceof Ka),()=>"The varList passed in variableGrads(f, varList) must be an array of variables");let e=t!=null;if(!e){t=[];for(let l in k.registeredVariables)t.push(k.registeredVariables[l])}let n=e?t.filter(l=>!l.trainable):null,o=t.length;t=t.filter(l=>l.trainable),E(t.length>0,()=>`variableGrads() expects at least one of the input variables to be trainable, but none of the ${o} variables is trainable.`);let s=!0,{value:i,grads:a}=k.gradients(r,t,null,s);E(a.some(l=>l!=null),()=>"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize()."),E(i.rank===0,()=>`The f passed in variableGrads(f) must return a scalar, but it returned a rank-${i.rank} tensor`);let u={};return t.forEach((l,c)=>{a[c]!=null&&(u[l.name]=a[c])}),n!=null&&n.forEach(l=>u[l.name]=null),{value:i,grads:u}}function un(r){return k.customGrad(r)}function Vx(r){if(r.filter(e=>e==null).length>0)throw new Error(`Cannot compute gradient of y=f(x) with respect to x. Make sure that + the f you passed encloses all operations that lead from x to y.`)}function IK(r){let e={x:I(r,"x","softplus")};return k.runKernel(Va,e)}var zs=T({softplus_:IK});function SK(r){let t=I(r,"x","logSigmoid");return un(n=>({value:Ht(zs(Ht(n))),gradFunc:i=>D(i,Yr(Ht(n)))}))(t)}var Gx=T({logSigmoid_:SK});function vK(r,t){let e=I(r,"a","sub"),n=I(t,"b","sub");[e,n]=Ut(e,n);let o={a:e,b:n};return k.runKernel(Fs,o)}var ct=T({sub_:vK});function NK(r,t=-1){let e=I(r,"logits","logSoftmax");if(t===-1&&(t=e.rank-1),t!==e.rank-1)throw Error(`Log Softmax along a non-last dimension is not yet supported. Logits was rank ${e.rank} and axis was ${t}`);return un((o,s)=>{let a=Ir(o,t,!0),u=ct(o,a),l=ct(J(u,"float32"),Sr(ft(er(u),t,!0)));return s([l]),{value:l,gradFunc:(p,m)=>{let[f]=m,d=!0,h=er(f);return ct(p,D(ft(p,t,d),h))}}})(e)}var sm=T({logSoftmax_:NK});function TK(r,t=null,e=!1){let n=I(r,"x","logSumExp"),o=lr(t,n.shape),s=Ir(n,o,!0),i=ct(n,s),a=er(i),u=ft(a,o),l=Sr(u),c=X(R(s,l.shape),l);if(e){let p=yo(c.shape,o);return R(c,p)}return c}var im=T({logSumExp_:TK});function kK(r,t){let e=I(r,"a","logicalAnd","bool"),n=I(t,"b","logicalAnd","bool");Pt(e.shape,n.shape);let o={a:e,b:n};return k.runKernel(Ea,o)}var Rr=T({logicalAnd_:kK});function EK(r){let e={x:I(r,"x","logicalNot","bool")};return k.runKernel(_a,e)}var eu=T({logicalNot_:EK});function _K(r,t){let e=I(r,"a","logicalOr","bool"),n=I(t,"b","logicalOr","bool");Pt(e.shape,n.shape);let o={a:e,b:n};return k.runKernel(Aa,o)}var am=T({logicalOr_:_K});function AK(r,t){let e=I(r,"a","logicalXor","bool"),n=I(t,"b","logicalXor","bool");return Pt(e.shape,n.shape),Rr(am(r,t),eu(Rr(r,t)))}var Wx=T({logicalXor_:AK});var Ux=2147483648;function $K(r,t,e="left"){let n=I(r,"sortedSequence","searchSorted"),o=I(t,"values","searchSorted"),s=n.shape[n.shape.length-1],i=o.shape[o.shape.length-1],a=R(n,[-1,s]),u=R(o,[-1,i]);if(a.rank<2)throw new Error("Sorted input argument must be at least 2-dimensional");if(a.shape[0]!==u.shape[0])throw new Error("Leading dimension of 'sortedSequence' and 'values' must match.");if(Jt(u.shape)>=Ux)throw new Error(`values tensor size must less than ${Ux}`);if(a.shape[1]>=Ux)throw new Error(`trailing dim_size must less than ${Ux} for int32 output type, was ${a.shape[1]}`);let l={sortedSequence:a,values:u},c={side:e};return k.runKernel(Pp,l,c)}var mh=T({searchSorted_:$K});function jE(r,t){return mh(r,t,"left")}function DK(r,t,e,n,o){let s=I(r,"x","maxPool"),i=1,a=s,u=!1;s.rank===3&&(u=!0,a=R(s,[1,s.shape[0],s.shape[1],s.shape[2]])),E(a.rank===4,()=>`Error in maxPool: input must be rank 4 but got rank ${a.rank}.`),E(Ar(e,i),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${e} and dilations '${i}'`),Ie("maxPool",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o},p=k.runKernel(cs,l,c);return u?R(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var ru=T({maxPool_:DK});function RK(r,t=[1,1,1],e,n,o,s="NDHWC"){let i=I(r,"x","maxPool3d"),a=i,u=!1;i.rank===4&&(u=!0,a=R(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),E(a.rank===5,()=>`Error in maxPool3d: x must be rank 5 but got rank ${a.rank}.`),E(s==="NDHWC",()=>`Error in maxPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),Ie("maxPool3d",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o,dataFormat:s},p=k.runKernel(Fl,l,c);return u?R(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}var Hx=T({maxPool3d_:RK});function FK(r,t,e,n,o=!1){let i={x:I(r,"x","maxPoolWithArgmax")},a={filterSize:t,strides:e,pad:n,includeBatchInIndex:o},u=k.runKernel(Ep,i,a);return{result:u[0],indexes:u[1]}}var XE=T({maxPoolWithArgmax_:FK});function OK(r,t){let e=I(r,"a","maximum"),n=I(t,"b","maximum");[e,n]=Ut(e,n),e.dtype==="bool"&&(e=J(e,"int32"),n=J(n,"int32")),Pt(e.shape,n.shape);let o={a:e,b:n};return k.runKernel(us,o)}var Sn=T({maximum_:OK});function PK(r,t=null,e=!1){let o={x:I(r,"x","mean")},s={axis:t,keepDims:e};return k.runKernel(ps,o,s)}var ve=T({mean_:PK});function Ne(r,t="float32"){if(t==="complex64"){let n=Ne(r,"float32"),o=Ne(r,"float32");return wn(n,o)}let e=ip(Jt(r),t);return k.makeTensor(e,r,t)}function cr(r,t="float32"){if(t==="complex64"){let n=cr(r,"float32"),o=Ne(r,"float32");return wn(n,o)}let e=Wd(Jt(r),t);return k.makeTensor(e,r,t)}function YE(r,t,{indexing:e="xy"}={}){if(e!=="xy"&&e!=="ij")throw new TypeError(`${e} is not a valid third argument to meshgrid`);if(r===void 0)return[];let n=I(r,"x","meshgrid",r instanceof Ft?r.dtype:"float32");if(t===void 0)return[n];let o=I(t,"y","meshgrid",t instanceof Ft?t.dtype:"float32"),s=Jt(n.shape),i=Jt(o.shape);return e==="xy"?(n=R(n,[1,-1]),o=R(o,[-1,1]),[Lt(cr([i,1],n.dtype),n),Lt(o,cr([1,s],o.dtype))]):(n=R(n,[-1,1]),o=R(o,[1,-1]),[Lt(n,cr([1,i],n.dtype)),Lt(cr([s,1],o.dtype),o)])}function LK(r,t){let e=I(r,"a","minimum"),n=I(t,"b","minimum");[e,n]=Ut(e,n),e.dtype==="bool"&&(e=J(e,"int32"),n=J(n,"int32")),Pt(e.shape,n.shape);let o={a:e,b:n};return k.runKernel(fs,o)}var Mi=T({minimum_:LK});function MK(r,t,e){E(e==="reflect"||e==="symmetric",()=>`Invalid mode. Mode must be either reflect or symmetric. Got ${e}.`);let n=I(r,"x","mirrorPad");if(n.rank===0)throw new Error("mirrorPad(scalar) is not defined. Pass non-scalar to mirrorPad");E(t.length===n.rank,()=>`Padding doesn't match input. Must be ${n.rank}. Got ${t.length}.`);let o=e==="reflect"?1:0;for(let a=0;a"Invalid number of paddings. Must be length of 2 each."),E(t[a][0]>=0&&t[a][0]<=n.shape[a]-o&&t[a][1]>=0&&t[a][1]<=n.shape[a]-o,()=>`Padding in dimension ${a} cannot be greater than or equal to ${n.shape[a]-o} or less than 0 for input of shape ${n.shape}`);let s={paddings:t,mode:e},i={x:n};return k.runKernel(ds,i,s)}var qx=T({mirrorPad_:MK});function zK(r,t){let e=I(r,"a","mod"),n=I(t,"b","mod");[e,n]=Ut(e,n);let o={a:e,b:n};return k.runKernel($a,o)}var Kx=T({mod_:zK});function BK(r,t=null,e=!1){r=I(r,"x","moments");let n=lr(t,r.shape),o=ve(r,n,e),s=o.shape;e||(s=yo(o.shape,n));let i=Mt(ct(J(r,"float32"),R(o,s))),a=ve(i,n,e);return{mean:o,variance:a}}var Zu=T({moments_:BK});function VK(r,t,e,n){let o=I(t,"data","multiRNNCell"),s=ja(e,"c","multiRNNCell"),i=ja(n,"h","multiRNNCell"),a=o,u=[];for(let p=0;p2)throw new Error(`Rank of probabilities must be 1 or 2, but is ${i}`);e=e||Math.random();let u={logits:i===1?R(o,[1,-1]):o},l={numSamples:t,seed:e,normalized:n},c=k.runKernel(_p,u,l);return i===1?R(c,[c.size]):c}var JE=T({multinomial_:GK});function WK(r,t){let e=I(r,"a","notEqual","string_or_numeric"),n=I(t,"b","notEqual","string_or_numeric");[e,n]=Ut(e,n),Pt(e.shape,n.shape);let o={a:e,b:n};return k.runKernel(Da,o)}var Bs=T({notEqual_:WK});function UK(r){let e={x:I(r,"x","onesLike")};return k.runKernel(mi,e)}var yr=T({onesLike_:UK});function HK(r,t){let e=I(r,"v1","outerProduct"),n=I(t,"v2","outerProduct");E(e.rank===1&&n.rank===1,()=>`Error in outerProduct: inputs must be rank 1, but got ranks ${e.rank} and ${n.rank}.`);let o=R(e,[-1,1]),s=R(n,[1,-1]);return Lt(o,s)}var QE=T({outerProduct_:HK});function qK(r,t,e=0){let n=I(r,"x","pad");if(n.rank===0)throw new Error("pad(scalar) is not defined. Pass non-scalar to pad");let o={paddings:t,constantValue:e},s={x:n};return k.runKernel(xs,s,o)}var cn=T({pad_:qK});function KK(r,t,e=0){return E(t.length===2,()=>"Invalid number of paddings. Must be length of 2."),cn(r,[t],e)}var t_=T({pad1d_:KK});function jK(r,t,e=0){return E(t.length===2&&t[0].length===2&&t[1].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),cn(r,t,e)}var e_=T({pad2d_:jK});function XK(r,t,e=0){return E(t.length===3&&t[0].length===2&&t[1].length===2&&t[2].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),cn(r,t,e)}var r_=T({pad3d_:XK});function YK(r,t,e=0){return E(t.length===4&&t[0].length===2&&t[1].length===2&&t[2].length===2&&t[3].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),cn(r,t,e)}var n_=T({pad4d_:YK});function ZK(r,t,e){let n=I(r,"x","spaceToBatchND");E(n.rank>=1+t.length,()=>`input rank ${n.rank} should be > than [blockShape] ${t.length}`),E(e.length===t.length,()=>`paddings.shape[0] ${e.length} must be equal to [blockShape] ${t.length}`),E(n.shape.reduce((i,a,u)=>u>0&&u<=t.length?i&&(a+e[u-1][0]+e[u-1][1])%t[u-1]===0:i,!0),()=>`input spatial dimensions ${n.shape.slice(1)} with paddings ${e.toString()} must be divisible by blockShapes ${t.toString()}`);let o={x:n},s={blockShape:t,paddings:e};return k.runKernel(xi,o,s)}var nu=T({spaceToBatchND_:ZK});function JK(r,t,e,n,o,s,i){o==null&&(o=[1,1]),s==null&&(s=1),n===0&&(n="valid");let a=I(r,"x","maxPool"),u=a,l=!1;a.rank===3&&(l=!0,u=R(a,[1,a.shape[0],a.shape[1],a.shape[2]])),E(Ar(s,o),()=>`Error in pool: Either strides or dilations must be 1. Got strides ${s} and dilations '${o}'`);let c=Y0(u.shape,t,s,o,n),p=[c.dilationHeight,c.dilationWidth],m;n==="same"?m=tj([c.filterHeight,c.filterWidth],p):m=[[0,0],[0,0]];let f=p[0]===1&&p[1]===1,[d,h]=QK([c.inHeight,c.inWidth],p,m),g=f?n:"valid",x=f?u:nu(u,p,d),w=(e==="avg"?()=>Yl(x,t,s,g,i):()=>ru(x,t,s,g,i))(),C=f?w:Zl(w,p,h);return l?R(C,[C.shape[1],C.shape[2],C.shape[3]]):C}function QK(r,t,e){let n=e.map(c=>c[0]),o=e.map(c=>c[1]),s=r.concat(n,o),i=t.map((c,p)=>(c-s[p]%c)%c),a=o.map((c,p)=>c+i[p]),u=t.map((c,p)=>[n[p],a[p]]),l=t.map((c,p)=>[0,i[p]]);return[u,l]}function tj(r,t){let n=r.map((i,a)=>i+(i-1)*(t[a]-1)).map(i=>i-1),o=n.map(i=>Math.floor(i/2)),s=n.map((i,a)=>i-o[a]);return n.map((i,a)=>[o[a],s[a]])}var jx=T({pool_:JK});function ej(r,t){let e=I(r,"x","prelu"),n=I(t,"alpha","prelu"),o={x:e,alpha:n};return k.runKernel(bs,o)}var ou=T({prelu_:ej});function rj(r,t=null,e=!1){let n=I(r,"x","prod");n.dtype==="bool"&&(n=J(n,"int32"));let o={x:n},s={axis:t,keepDims:e};return k.runKernel(ws,o,s)}var Xx=T({prod_:rj});function nj(r,t,e,n){let o=r.map((c,p)=>I(c,`tensors${p}`,"raggedGather","int32")),s=I(t,"paramsDenseValues","raggedGather"),i=I(e,"indices","raggedGather","int32"),a={paramsNestedSplits:o,paramsDenseValues:s,indices:i},u={outputRaggedRank:n},l=k.runKernel(Ap,a,u);return{outputNestedSplits:l.slice(0,l.length-1),outputDenseValues:l[l.length-1]}}var o_=T({raggedGather_:nj});function oj(r,t,e){let n=I(r,"starts","raggedRange"),o=I(t,"limits","raggedRange",n.dtype),s=I(e,"deltas","raggedRange",n.dtype),i={starts:n,limits:o,deltas:s},a=k.runKernel($p,i);return{rtNestedSplits:a[0],rtDenseValues:a[1]}}var s_=T({raggedRange_:oj});function sj(r,t,e,n,o){let s=I(r,"shape","raggedTensorToTensor","int32"),i=I(t,"values","raggedTensorToTensor"),a=I(e,"defaultValue","raggedTensorToTensor",i.dtype),u=n.map((p,m)=>I(p,`tensors${m}`,"raggedTensorToTensor","int32")),l={shape:s,values:i,defaultValue:a,rowPartitionTensors:u},c={rowPartitionTypes:o};return k.runKernel(Dp,l,c)}var i_=T({raggedTensorToTensor_:sj});function ij(r,t,e){let n=Jt(r),o=null;if(e==null||e==="float32")o=new Float32Array(n);else if(e==="int32")o=new Int32Array(n);else if(e==="bool")o=new Uint8Array(n);else throw new Error(`Unknown data type ${e}`);for(let s=0;s=1||i===0);let a=Math.sqrt(-2*Math.log(i)/i);t=this.mean+this.stdDev*o*a,e=this.mean+this.stdDev*s*a,(!this.truncated||this.isValidTruncated(t))&&(n=!0)}return(!this.truncated||this.isValidTruncated(e))&&(this.nextVal=this.convertValue(e)),this.convertValue(t)}convertValue(t){return this.dtype==null||this.dtype==="float32"?t:Math.round(t)}isValidTruncated(t){return t<=this.upper&&t>=this.lower}},Zx=class{constructor(t,e,n,o){this.alpha=t,this.beta=1/e,this.dtype=n;let s=o||Math.random();this.randu=Qx.alea(s.toString()),this.randn=new Qu(0,1,n,!1,this.randu()),t<1?this.d=t+2/3:this.d=t-1/3,this.c=1/Math.sqrt(9*this.d)}nextValue(){let t,e,n,o,s,i;for(;;){do o=this.randn.nextValue(),i=1+this.c*o;while(i<=0);if(i*=i*i,t=o*o,e=1-.331*t*t,n=.5*t+this.d*(1-i+Math.log(i)),s=this.randu(),sthis.dtype==null||this.dtype==="float32",this.min=t,this.range=e-t,this.dtype=n,o==null&&(o=Math.random()),typeof o=="number"&&(o=o.toString()),!this.canReturnFloat()&&this.range<=1)throw new Error(`The difference between ${t} - ${e} <= 1 and dtype is not float`);this.random=Qx.alea(o)}convertValue(t){return this.canReturnFloat()?t:Math.round(t)}nextValue(){return this.convertValue(this.min+this.range*this.random())}};function fj(r,t,e=1,n="float32",o){if(e==null&&(e=1),n==null&&(n="float32"),n!=="float32"&&n!=="int32")throw new Error(`Unsupported data type ${n}`);let s=new Zx(t,e,n,o),i=wt(r,n);for(let a=0;a`Error in reverse1D: x must be rank 1 but got rank ${t.rank}.`),pr(t,0)}var T_=T({reverse1d_:Cj});function Ij(r,t){let e=I(r,"x","reverse");return E(e.rank===2,()=>`Error in reverse2D: x must be rank 2 but got rank ${e.rank}.`),pr(e,t)}var k_=T({reverse2d_:Ij});function Sj(r,t){let e=I(r,"x","reverse");return E(e.rank===3,()=>`Error in reverse3D: x must be rank 3 but got rank ${e.rank}.`),pr(e,t)}var E_=T({reverse3d_:Sj});function vj(r,t){let e=I(r,"x","reverse");return E(e.rank===4,()=>`Error in reverse4D: x must be rank 4 but got rank ${e.rank}.`),pr(e,t)}var __=T({reverse4d_:vj});function Nj(r){let e={x:I(r,"x","round")};return k.runKernel(Ts,e)}var um=T({round_:Nj});function Tj(r){let e={x:I(r,"x","rsqrt","float32")};return k.runKernel(ks,e)}var cm=T({rsqrt_:Tj});function kj(r){let e={x:I(r,"x","selu")};return k.runKernel(Ma,e)}var pm=T({selu_:kj});function Ej(r,t,e,n,o,s=[1,1],i="NHWC"){let a=I(r,"x","separableConv2d"),u=I(t,"depthwiseFilter","separableConv2d"),l=I(e,"pointwiseFilter","separableConv2d"),c=a,p=!1;if(a.rank===3&&(p=!0,c=R(a,[1,a.shape[0],a.shape[1],a.shape[2]])),i==="NCHW")throw new Error("separableConv2d currently does not support dataFormat NCHW; only NHWC is supported");E(c.rank===4,()=>`Error in separableConv2d: input must be rank 4, but got rank ${c.rank}.`),E(u.rank===4,()=>`Error in separableConv2d: depthwise filter must be rank 4, but got rank ${u.rank}.`),E(l.rank===4,()=>`Error in separableConv2d: pointwise filter must be rank 4, but got rank ${u.rank}.`),E(l.shape[0]===1,()=>`Error in separableConv2d: the first dimension of pointwise filter must be 1, but got ${l.shape[0]}.`),E(l.shape[1]===1,()=>`Error in separableConv2d: the second dimension of pointwise filter must be 1, but got ${l.shape[1]}.`);let m=u.shape[2],f=u.shape[3];E(l.shape[2]===m*f,()=>`Error in separableConv2d: the third dimension of pointwise filter must be ${m*f}, but got ${l.shape[2]}.`);let d=Fi(c,u,n,o,i,s),g=In(d,l,1,"valid",i);return p?R(g,[g.shape[1],g.shape[2],g.shape[3]]):g}var mm=T({separableConv2d_:Ej});async function _j(r,t){let e=I(r,"x","setdiff1d"),n=I(t,"y","setdiff1d");E(e.dtype===n.dtype,()=>`x and y should have the same dtype, but got x (${e.dtype}) and y (${n.dtype}).`),E(e.rank===1,()=>`x should be 1D tensor, but got x (${e.shape}).`),E(n.rank===1,()=>`y should be 1D tensor, but got y (${n.shape}).`);let o=await e.data(),s=await n.data(),i=new Set(s),a=0;for(let c=0;c`slice1d expects a rank-1 tensor, but got a rank-${n.rank} tensor`),Rt(n,[t],[e])}var hm=T({slice1d_:Rj});function Fj(r,t,e){let n=I(r,"x","slice2d");return E(n.rank===2,()=>`slice2d expects a rank-2 tensor, but got a rank-${n.rank} tensor`),Rt(n,t,e)}var dh=T({slice2d_:Fj});function Oj(r,t,e){let n=I(r,"x","slice3d");return E(n.rank===3,()=>`slice3d expects a rank-3 tensor, but got a rank-${n.rank} tensor`),Rt(n,t,e)}var gm=T({slice3d_:Oj});function Pj(r,t,e){let n=I(r,"x","slice4d");return E(n.rank===4,()=>`slice4d expects a rank-4 tensor, but got a rank-${n.rank} tensor`),Rt(n,t,e)}var ec=T({slice4d_:Pj});function Lj(r,t=-1){let e=I(r,"logits","softmax","float32");if(t===-1&&(t=e.rank-1),t!==e.rank-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${e.rank} and dim was ${t}`);let n={logits:e},o={dim:t};return k.runKernel(Ds,n,o)}var iu=T({softmax_:Lj});function Mj(r){E(r.dtype==="complex64",()=>`The dtype for tf.spectral.fft() must be complex64 but got ${r.dtype}.`);let t={input:r};return k.runKernel(Cp,t)}var au=T({fft_:Mj});function zj(r){E(r.dtype==="complex64",()=>`The dtype for tf.spectral.ifft() must be complex64 but got ${r.dtype}.`);let t={input:r};return k.runKernel(Ip,t)}var tl=T({ifft_:zj});function Bj(r){let t=r.shape[r.shape.length-1],e=r.size/t,n;if(t<=2){let o=R(r,[e,t]);n=tl(o)}else{let o=[e,2*(t-1)],s=R(Za(r),[e,t]),i=R(Xl(r),[e,t]),a=pr(Rt(s,[0,1],[e,t-2]),1),u=D(pr(Rt(i,[0,1],[e,t-2]),1),mt(-1)),l=ne([s,a],1),c=ne([i,u],1),p=R(wn(l,c),[o[0],o[1]]);n=tl(p)}if(n=Za(n),r.rank===3&&r.shape[0]!==0){let o=n,s=r.shape[0];n=R(n,[s,n.shape[0]/s,n.shape[1]]),o.dispose()}return n}var xm=T({irfft_:Bj});function Vj(r,t,e=0){let o={x:I(r,"x","split")},s={numOrSizeSplits:t,axis:e};return k.runKernel(yi,o,s)}var mr=T({split_:Vj});function Gj(r,t){E(r.dtype==="float32",()=>`The dtype for rfft() must be real value but got ${r.dtype}`);let e=r.shape[r.shape.length-1],n=r.size/e,o;if(t!=null&&t0),h=r.shape.map(g=>g);h[r.shape.length-1]=t,o=Rt(r,d,h),e=t}else if(t!=null&&t>e){let d=r.shape.map(h=>h);d[r.shape.length-1]=t-e,o=ne([r,Ne(d)],r.shape.length-1),e=t}else o=r;let s=It(o),i=R(wn(o,s),[n,e]),a=au(i),u=Math.floor(e/2)+1,l=Za(a),c=Xl(a),p=mr(l,[u,e-u],l.shape.length-1),m=mr(c,[u,e-u],c.shape.length-1),f=o.shape.slice();return f[o.shape.length-1]=u,R(wn(p[0],m[0]),f)}var lu=T({rfft_:Gj});function Wj(r,t){let e=I(r,"a","squaredDifference"),n=I(t,"b","squaredDifference");[e,n]=Ut(e,n),Pt(e.shape,n.shape);let o={a:e,b:n},s={};return k.runKernel(Rs,o,s)}var ym=T({squaredDifference_:Wj});function Uj(r,t){let e=I(r,"x","squeeze","string_or_numeric");return R(e,t0(e.shape,t).newShape)}var Mn=T({squeeze_:Uj});function Hj(r,t=0){let e=ja(r,"tensors","stack","string_or_numeric");E(e.length>=1,()=>"Pass at least one tensor to tf.stack"),e.length>0&&E(t<=e[0].rank,()=>"Axis must be <= rank of the tensor");let n=e,o={axis:t};return k.runKernel(fi,n,o)}var nr=T({stack_:Hj});function qj(r,t=0){let n={x:I(r,"x","step")},o={alpha:t};return k.runKernel(po,n,o)}var bo=T({step_:qj});function Kj(r,t,e,n,o=0,s=0,i=0,a=0,u=0){let c={x:I(r,"x","stridedSlice","string_or_numeric")},p={begin:t,end:e,strides:n,beginMask:o,endMask:s,ellipsisMask:i,newAxisMask:a,shrinkAxisMask:u};return k.runKernel(Wa,c,p)}var ry=T({stridedSlice_:Kj});function jj(r){let e={x:I(r,"x","tan","float32")};return k.runKernel(Os,e)}var ny=T({tan_:jj});function Me(r,t){Yn(r);let e=Br(r,t);if(e.length!==1)throw new Error("tensor1d() requires values to be a flat/TypedArray");return on(r,null,e,t)}function Vs(r,t,e){if(Yn(r),t!=null&&t.length!==2)throw new Error("tensor2d() requires shape to have two numbers");let n=Br(r,e);if(n.length!==2&&n.length!==1)throw new Error("tensor2d() requires values to be number[][] or flat/TypedArray");if(n.length===1&&t==null)throw new Error("tensor2d() requires shape to be provided when `values` are a flat/TypedArray");return on(r,t,n,e)}function $_(r,t,e){if(Yn(r),t!=null&&t.length!==4)throw new Error("tensor4d() requires shape to have four numbers");let n=Br(r,e);if(n.length!==4&&n.length!==1)throw new Error("tensor4d() requires values to be number[][][][] or flat/TypedArray");if(n.length===1&&t==null)throw new Error("tensor4d() requires shape to be provided when `values` are a flat array");return on(r,t,n,e)}function D_(r,t,e){if(Yn(r),t!=null&&t.length!==5)throw new Error("tensor5d() requires shape to have five numbers");let n=Br(r,e);if(n.length!==5&&n.length!==1)throw new Error("tensor5d() requires values to be number[][][][][] or flat/TypedArray");if(n.length===1&&t==null)throw new Error("tensor5d() requires shape to be provided when `values` are a flat array");return on(r,t,n,e)}function R_(r,t,e){if(Yn(r),t!=null&&t.length!==6)throw new Error("tensor6d() requires shape to have six numbers");let n=Br(r,e);if(n.length!==6&&n.length!==1)throw new Error("tensor6d() requires values to be number[][][][][][] or flat/TypedArray");if(n.length===1&&t==null)throw new Error("tensor6d() requires shape to be provided when `values` are a flat array");return t=t||n,on(r,t,n,e)}function Xj(r,t=1,e=!0){let n=I(r,"x","topk");if(n.rank===0)throw new Error("topk() expects the input to be of rank 1 or higher");let o=n.shape[n.shape.length-1];if(t<0)throw new Error(`'k' passed to topk() must be >= 0 but got ${t}`);if(t>o)throw new Error(`'k' passed to topk() must be <= the last dimension (${o}) but got ${t}`);let s={x:n},i={k:t,sorted:e},[a,u]=k.runKernel(Ua,s,i);return{values:a,indices:u}}var oy=T({topk_:Xj});function Yj(r,t=0,e=1,n,o){if(n!=null&&n==="bool")throw new Error("Unsupported data type $ { dtype }");let s=new Qu(t,e,n,!0,o),i=wt(r,n);for(let a=0;a0,()=>"The input tensor must be at least 1D");let n={x:e},o={axis:t},[s,i]=k.runKernel(Mp,n,o);return{values:s,indices:i}}var sy=T({unique_:Zj});function Jj(r,t,e){let n=I(r,"x","unsortedSegmentSum"),o=I(t,"segmentIds","unsortedSegmentSum","int32");E(na(e),()=>"numSegments must be of dtype int");let s={x:n,segmentIds:o},i={numSegments:e};return k.runKernel(Wl,s,i)}var wm=T({unsortedSegmentSum_:Jj});function Qj(r,t=0){let e=I(r,"x","unstack","string_or_numeric");E(t>=-e.shape.length&&t`Axis = ${t} is not in [-${e.shape.length}, ${e.shape.length})`);let n={value:e},o={axis:t};return k.runKernel(bi,n,o)}var vr=T({unstack_:Qj});function F_(r,t){return mh(r,t,"right")}function iy(r,t=!0,e,n){return k.makeVariable(r,t,e,n)}function ay(r,t){let e=[];for(let s=0;s0,()=>"mask cannot be scalar"),$e(a.slice(s,s+i),o.shape,"mask's shape must match the first K dimensions of tensor's shape,");let u=1;for(let h=s;h"Shape mismatch in v and x");let u=mt(1),l=ct(u,a),c=D(ct(i,s),l);if(o){E(n!=null,()=>"When using zeroDebias: true, step is required.");let p=I(n,"step","movingAverage");c=pt(c,ct(u,an(a,p)))}return X(s,c)}var o6=T({movingAverage_:n6});function s6(r,t,e){let n=I(r,"indices","scatterND","int32"),o=I(t,"updates","scatterND");sx(o,n,e);let s={indices:n,updates:o},i={shape:e};return k.runKernel(La,s,i)}var i6=T({scatterND_:s6});function O_(r,t,e,n){if(r.dtype!=="int32")throw new Error(`tf.sparseToDense() expects the indices to be int32 type, but the dtype was ${r.dtype}.`);if(r.rank>2)throw new Error(`sparseIndices should be a scalar, vector, or matrix, but got shape ${r.shape}.`);let o=r.rank>0?r.shape[0]:1,s=r.rank>1?r.shape[1]:1;if(e.length!==s)throw new Error(`outputShape has incorrect number of elements:, ${e.length}, should be: ${s}.`);let i=t.size;if(!(t.rank===0||t.rank===1&&i===o))throw new Error(`sparseValues has incorrect shape ${t.shape}, should be [] or [${o}]`);if(t.dtype!==n.dtype)throw new Error("sparseValues.dtype must match defaultValues.dtype")}function l6(r,t,e,n=0){let o=I(r,"sparseIndices","sparseToDense","int32"),s=I(t,"sparseValues","sparseToDense","string_or_numeric"),i=I(n,"defaultValue","sparseToDense",s.dtype);O_(o,s,e,i);let a={sparseIndices:o,sparseValues:s,defaultValue:i},u={outputShape:e};return k.runKernel(Lp,a,u)}var u6=T({sparseToDense_:l6});function c6(r,t){let e=I(t,"indices","gatherND","int32"),o={params:I(r,"x","gatherND","string_or_numeric"),indices:e};return k.runKernel(wa,o)}var p6=T({gatherND_:c6});function P_(r,t){if(t==null)return r.shape.slice();if(Dn(r.shape,t))return t;if(r.shape.length===t.length){let e=[];for(let n=0;n`x has to be a floating point tensor since it's going to be scaled, but got a ${o.dtype} tensor instead.`),E(t>=0&&t<1,()=>`rate must be a float in the range [0, 1), but got ${t}.`),t===0)return r instanceof Ft?o.clone():o;let s=P_(o,e),i=1-t,a=pt(Pi(X(zi(s,0,1,"float32",n),i)),i);return D(o,a)}var lv=T({dropout_:m6});function uv(r){return Math.floor(Math.pow(2,Math.ceil(Math.log(r)/Math.log(2))))}function hh(r,t,e){let n=1-r%2,o=new Float32Array(r);for(let s=0;s1,()=>`inTopK() expects the predictions to be of rank 2 or higher, but got ${n.rank}`),E(n.rank-1===o.rank,()=>`predictions rank should be 1 larger than targets rank, but got predictions rank ${n.rank} and targets rank ${o.rank}`),$e(n.shape.slice(0,n.shape.length-1),o.shape,"predictions's shape should be align with the targets' shape, except the last dimension.");let s=n.shape[n.shape.length-1];E(e>0&&e<=s,()=>`'k' passed to inTopK() must be > 0 && <= the predictions last dimension (${s}), but got ${e}`);let i=await n.data(),a=await o.data(),[u,l]=[i.length/s,s],c=e0("bool",u);for(let p=0;pg.value-h.value),c[p]=0;for(let h=0;hL_,depthwiseConv2d:()=>M_,matMul:()=>z_});function h6(r,t,e,n,o,s="NHWC",i){let a=r;r.rank===3&&(a=R(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let u=t;u.rank===3&&(u=R(t,[1,t.shape[0],t.shape[1],t.shape[2]])),E(a.rank===4,()=>`Error in conv2dDerFilter: input must be rank 4, but got shape ${a.shape}.`),E(u.rank===4,()=>`Error in conv2dDerFilter: dy must be rank 4, but got shape ${u.shape}.`),E(e.length===4,()=>`Error in conv2dDerFilter: filterShape must be length 4, but got ${e}.`);let l=s==="NHWC"?a.shape[3]:a.shape[1],c=s==="NHWC"?u.shape[3]:u.shape[1];E(l===e[2],()=>`Error in conv2dDerFilter: depth of input ${l}) must match input depth in filter (${e[2]}.`),E(c===e[3],()=>`Error in conv2dDerFilter: depth of dy (${c}) must match output depth for filter (${e[3]}).`),Ie("conv2dDerFilter",o,i);let p={x:a,dy:u},m={strides:n,pad:o,dataFormat:s,dimRoundingMode:i,filterShape:e};return k.runKernel(mp,p,m)}var Cm=T({conv2DBackpropFilter_:h6});function rc(r,t,e){if(e==null||e==="linear")return r;if(e==="relu")return D(r,bo(t));throw new Error(`Cannot compute gradient for fused activation ${e}.`)}function nc(r,t){let e=t,n=ge(r.shape,t.shape);return n.length>0&&(e=ft(e,n)),R(e,r.shape)}function oc(r,t,e,n){if(t==="linear")return r;if(t==="relu")return Fr(r);if(t==="elu")return Oi(r);if(t==="relu6")return lm(r);if(t==="prelu")return ou(r,e);if(t==="leakyrelu")return Ql(r,n);if(t==="sigmoid")return Yr(r);throw new Error(`Unknown fused activation ${t}.`)}var sc=(r,t)=>!(r>0)||t==="linear";function g6({x:r,filter:t,strides:e,pad:n,dataFormat:o="NHWC",dilations:s=[1,1],dimRoundingMode:i,bias:a,activation:u="linear",preluActivationWeights:l,leakyreluAlpha:c}){if(u=u||"linear",sc(k.state.gradientDepth,u)===!1){E(o==="NHWC",()=>`Error in fused conv2d: got dataFormat of ${o} but only NHWC is currently supported for the case of gradient depth is 0 and the activation is not linear.`);let _=In(r,t,e,n,o,s,i);return a!=null&&(_=X(_,a)),oc(_,u,l,c)}let p=I(r,"x","conv2d","float32"),m=I(t,"filter","conv2d","float32"),f=p,d=!1;p.rank===3&&(d=!0,f=R(p,[1,p.shape[0],p.shape[1],p.shape[2]])),E(f.rank===4,()=>`Error in fused conv2d: input must be rank 4, but got rank ${f.rank}.`),E(m.rank===4,()=>`Error in fused conv2d: filter must be rank 4, but got rank ${m.rank}.`),Ie("fused conv2d",n,i);let h=o==="NHWC"?f.shape[3]:f.shape[1];E(m.shape[2]===h,()=>`Error in conv2d: depth of input (${h}) must match input depth for filter ${m.shape[2]}.`),E(Ar(e,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${e} and dilations '${s}'`);let g=ju(f.shape,m.shape,e,s,n,i),x;a!=null&&(x=I(a,"bias","fused conv2d"),[x]=Ut(x,p),o==="NHWC"?Pt(g.outShape,x.shape):(E(x.shape.length<=1,()=>`Error in fused conv2d: only supports scalar or 1-D Tensor bias for NCHW format but got the bias of rank-${x.shape.length}.`),E(x.shape.length===0||x.shape[0]===g.outChannels||x.shape[0]===1,()=>`Error in fused conv2d: bias shape (${x.shape}) is not compatible with the number of output channels (${g.outChannels})`)));let b;if(l!=null){let _=l.shape;if(E(_.length<=1||_.length===3,()=>`Error in fused conv2d: only supports scalar, 1-D Tensor or 3-D Tensor PReLU activation weights but got a tensor of rank-${_.length}.`),_.length===1)E(_[0]===1||_[0]===g.outChannels,()=>`Error in fused conv2d: PReLU activation weights (${_}) is not compatible with the number of output channels (${g.outChannels}).`);else if(_.length===3)try{Pt(_,g.outShape)}catch(A){let $=`Error in fused conv2d: PReLU activation weights (${_}) is not compatible with the output shape of the conv2d (${g.outShape}).`;throw Error($)}b=I(l,"prelu weights","fused conv2d")}let w=(_,A)=>{E(o==="NHWC",()=>`Error in gradient of fused conv2D: got dataFormat of ${o} but only NHWC is currently supported.`);let[$,F,P,V]=A,G=rc(_,P,u);E(to(s),()=>`Error in gradient of fused conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`);let W=tm(F.shape,G,$,e,n),q=Cm(F,G,$.shape,e,n),H=[W,q];if(V!=null){let j=nc(V,G);H.push(j)}return H},C={x:f,filter:m,bias:x,preluActivationWeights:b},N={strides:e,pad:n,dataFormat:o,dilations:s,dimRoundingMode:i,activation:u,leakyreluAlpha:c};return a==null?un((A,$,F)=>{let P=k.runKernel(Ii,C,N);return F([$,A,P]),d&&(P=R(P,[P.shape[1],P.shape[2],P.shape[3]])),{value:P,gradFunc:w}})(f,m):un((A,$,F,P)=>{let V=k.runKernel(Ii,C,N);return P([$,A,V,F]),d&&(V=R(V,[V.shape[1],V.shape[2],V.shape[3]])),{value:V,gradFunc:w}})(f,m,x)}var L_=T({fusedConv2d_:g6});function x6(r,t,e,n,o,s=[1,1],i){let a=r;r.rank===3&&(a=R(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let u=t;u.rank===3&&(u=R(t,[1,t.shape[0],t.shape[1],t.shape[2]]));let l={x:a,dy:u},c={strides:n,pad:o,dimRoundingMode:i,dilations:s,filterShape:e};return k.runKernel(gp,l,c)}var uy=T({depthwiseConv2dNativeBackpropFilter_:x6});function y6(r,t,e,n,o,s=[1,1],i){let a=t,u=!1;t.rank===3&&(u=!0,a=R(t,[1,t.shape[0],t.shape[1],t.shape[2]]));let l={dy:a,filter:e},c={strides:n,pad:o,dimRoundingMode:i,dilations:s,inputShape:r},p=k.runKernel(xp,l,c);return u?R(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var cy=T({depthwiseConv2dNativeBackpropInput_:y6});function b6({x:r,filter:t,strides:e,pad:n,dataFormat:o="NHWC",dilations:s=[1,1],dimRoundingMode:i,bias:a,activation:u="linear",preluActivationWeights:l,leakyreluAlpha:c}){if(sc(k.state.gradientDepth,u)===!1){let N=Fi(r,t,e,n,o,s,i);return a!=null&&(N=X(N,a)),oc(N,u,l,c)}let p=I(r,"x","depthwiseConv2d","float32"),m=I(t,"filter","depthwiseConv2d","float32"),f=p,d=!1;p.rank===3&&(d=!0,f=R(p,[1,p.shape[0],p.shape[1],p.shape[2]])),E(f.rank===4,()=>`Error in fused depthwiseConv2d: input must be rank 4, but got rank ${f.rank}.`),E(m.rank===4,()=>`Error in fused depthwiseConv2d: filter must be rank 4, but got rank ${m.rank}.`),E(f.shape[3]===m.shape[2],()=>`Error in fused depthwiseConv2d: number of input channels (${f.shape[3]}) must match the inChannels dimension in filter ${m.shape[2]}.`),s==null&&(s=[1,1]),E(Ar(e,s),()=>`Error in fused depthwiseConv2d: Either strides or dilations must be 1. Got strides ${e} and dilations '${s}'`),Ie("fused depthwiseConv2d",n,i);let h=ju(f.shape,m.shape,e,s,n,i,!0),g;a!=null&&(g=I(a,"bias","fused conv2d"),[g]=Ut(g,p),Pt(h.outShape,g.shape));let x;l!=null&&(x=I(l,"prelu weights","fused depthwiseConv2d"));let b=(N,_)=>{E(to(s),()=>`Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '${s}'`);let[A,$,F,P]=_,V=rc(N,F,u),G=cy($.shape,V,A,e,n,s,i),W=uy($,V,A.shape,e,n,s,i);if(P!=null){let q=nc(g,V);return[G,W,q]}return[G,W]},w={x:f,filter:m,bias:g,preluActivationWeights:x},C={strides:e,pad:n,dataFormat:o,dilations:s,dimRoundingMode:i,activation:u,leakyreluAlpha:c};return a==null?un((_,A,$)=>{let F=k.runKernel(Si,w,C);return $([A,_,F]),d&&(F=R(F,[F.shape[1],F.shape[2],F.shape[3]])),{value:F,gradFunc:b}})(f,m):un((_,A,$,F)=>{let P=k.runKernel(Si,w,C);return F([A,_,P,$]),d&&(P=R(P,[P.shape[1],P.shape[2],P.shape[3]])),{value:P,gradFunc:b}})(f,m,g)}var M_=T({fusedDepthwiseConv2d_:b6});function w6({a:r,b:t,transposeA:e=!1,transposeB:n=!1,bias:o,activation:s="linear",preluActivationWeights:i,leakyreluAlpha:a=.2}){if(sc(k.state.gradientDepth,s)===!1){let V=Lt(r,t,e,n);return o!=null&&(V=X(V,o)),oc(V,s,i,a)}let u=I(r,"a","fused matMul"),l=I(t,"b","fused matMul");[u,l]=Ut(u,l);let c=e?u.shape[u.rank-2]:u.shape[u.rank-1],p=n?l.shape[l.rank-1]:l.shape[l.rank-2],m=e?u.shape[u.rank-1]:u.shape[u.rank-2],f=n?l.shape[l.rank-2]:l.shape[l.rank-1],d=u.shape.slice(0,-2),h=l.shape.slice(0,-2),g=Jt(d),x=Jt(h);E(c===p,()=>`Error in fused matMul: inner shapes (${c}) and (${p}) of Tensors with shapes ${u.shape} and ${l.shape} and transposeA=${e} and transposeB=${n} must match.`);let w=Pt(u.shape.slice(0,-2),l.shape.slice(0,-2)).concat([m,f]),C=e?R(u,[g,c,m]):R(u,[g,m,c]),N=n?R(l,[x,f,p]):R(l,[x,p,f]),_;o!=null&&(_=I(o,"bias","fused matMul"),[_]=Ut(_,u),Pt(w,_.shape));let A;i!=null&&(A=I(i,"prelu weights","fused matMul"));let $=(V,G)=>{let[W,q,H,j]=G,Y=rc(R(V,H.shape),H,s),Z,et;if(!e&&!n?(Z=Lt(Y,q,!1,!0),et=Lt(W,Y,!0,!1)):!e&&n?(Z=Lt(Y,q,!1,!1),et=Lt(Y,W,!0,!1)):e&&!n?(Z=Lt(q,Y,!1,!0),et=Lt(W,Y,!1,!1)):(Z=Lt(q,Y,!0,!0),et=Lt(Y,W,!0,!0)),o!=null){let rt=nc(j,Y);return[Z,et,rt]}else return[Z,et]},F={a:C,b:N,bias:_,preluActivationWeights:A},P={transposeA:e,transposeB:n,activation:s,leakyreluAlpha:a};return o==null?un((G,W,q)=>{let H=k.runKernel(Ci,F,P);return q([G,W,H]),{value:R(H,w),gradFunc:$}})(C,N):un((G,W,q,H)=>{let j=k.runKernel(Ci,F,P);return H([G,W,j,q]),{value:R(j,w),gradFunc:$}})(C,N,_)}var z_=T({fusedMatMul_:w6});function C6(r){return hh(r,.54,.46)}var B_=T({hammingWindow_:C6});function I6(r){return hh(r,.5,.5)}var py=T({hannWindow_:I6});function S6(r,t,e,n=!1,o=0){let s=0,i=[];for(;s+t<=r.size;)i.push(Rt(r,s,t)),s+=e;if(n)for(;s`Error in cropAndResize: image must be rank 4,but got rank ${i.rank}.`),E(a.rank===2&&a.shape[1]===4,()=>`Error in cropAndResize: boxes must be have size [${l},4] but had shape ${a.shape}.`),E(u.rank===1&&u.shape[0]===l,()=>`Error in cropAndResize: boxInd must be have size [${l}] but had shape ${a.shape}.`),E(n.length===2,()=>`Error in cropAndResize: cropSize must be of length 2, but got length ${n.length}.`),E(n[0]>=1&&n[1]>=1,()=>`cropSize must be atleast [1,1], but was ${n}`),E(o==="bilinear"||o==="nearest",()=>`method must be bilinear or nearest, but was ${o}`);let c={image:i,boxes:a,boxInd:u},p={method:o,extrapolationValue:s,cropSize:n};return k.runKernel(da,c,p)}var G_=T({cropAndResize_:N6});function T6(r){let t=I(r,"image","flipLeftRight","float32");E(t.rank===4,()=>`Error in flipLeftRight: image must be rank 4,but got rank ${t.rank}.`);let e={image:t};return k.runKernel(ba,e,{})}var W_=T({flipLeftRight_:T6});function k6(r){let t=I(r,"image","grayscaleToRGB"),e=t.rank-1,n=t.shape[e];E(t.rank>=2,()=>`Error in grayscaleToRGB: images must be at least rank 2, but got rank ${t.rank}.`),E(n===1,()=>`Error in grayscaleToRGB: last dimension of a grayscale image should be size 1, but got size ${n}.`);let o=new Array(t.rank);return o.fill(1,0,e),o[e]=3,Dr(t,o)}var U_=T({grayscaleToRGB_:k6});function E6(r,t,e=0,n=.5){let o=I(r,"image","rotateWithOffset","float32");E(o.rank===4,()=>`Error in rotateWithOffset: image must be rank 4,but got rank ${o.rank}.`);let s={image:o},i={radians:t,fillValue:e,center:n};return k.runKernel(qa,s,i)}var H_=T({rotateWithOffset_:E6});function wo(r,t,e,n,o,s){n==null&&(n=.5),o==null&&(o=Number.NEGATIVE_INFINITY),s==null&&(s=0);let i=r.shape[0];return e=Math.min(e,i),E(0<=n&&n<=1,()=>`iouThreshold must be in [0, 1], but was '${n}'`),E(r.rank===2,()=>`boxes must be a 2D tensor, but was of rank '${r.rank}'`),E(r.shape[1]===4,()=>`boxes must have 4 columns, but 2nd dimension was ${r.shape[1]}`),E(t.rank===1,()=>"scores must be a 1D tensor"),E(t.shape[0]===i,()=>`scores has incompatible shape with boxes. Expected ${i}, but was ${t.shape[0]}`),E(0<=s&&s<=1,()=>`softNmsSigma must be in [0, 1], but was '${s}'`),{maxOutputSize:e,iouThreshold:n,scoreThreshold:o,softNmsSigma:s}}function _6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY){let s=I(r,"boxes","nonMaxSuppression","float32"),i=I(t,"scores","nonMaxSuppression","float32"),a=wo(s,i,e,n,o);e=a.maxOutputSize,n=a.iouThreshold,o=a.scoreThreshold;let u={maxOutputSize:e,iouThreshold:n,scoreThreshold:o};return k.runKernel(Ra,{boxes:s,scores:i},u)}var q_=T({nonMaxSuppression_:_6});function K_(r,t,e){let n=A6(r,t,e),o=n<0?-(n+1):n;r.splice(o,0,t)}function A6(r,t,e){return D6(r,t,e||$6)}function $6(r,t){return r>t?1:r>>1);let a=e(t,r[s]);a>0?n=s+1:(o=s,i=!a)}return i?n:-n-1}function fy(r,t,e,n,o){return cv(r,t,e,n,o,0)}function dy(r,t,e,n,o,s){return cv(r,t,e,n,o,0,!1,s,!0)}function hy(r,t,e,n,o,s){return cv(r,t,e,n,o,s,!0)}function cv(r,t,e,n,o,s,i=!1,a=!1,u=!1){let l=[];for(let g=0;go&&l.push({score:t[g],boxIndex:g,suppressBeginIndex:0});l.sort(j_);let c=s>0?-.5/s:0,p=[],m=[];for(;p.length0;){let g=l.pop(),{score:x,boxIndex:b,suppressBeginIndex:w}=g;if(x=w;--N){let _=R6(r,b,p[N]);if(_>=n){C=!0;break}if(g.score=g.score*F6(n,c,_),g.score<=o)break}g.suppressBeginIndex=p.length,C||(g.score===x?(p.push(b),m.push(g.score)):g.score>o&&K_(l,g,j_))}let f=p.length,d=e-f;a&&d>0&&(p.push(...new Array(d).fill(0)),m.push(...new Array(d).fill(0)));let h={selectedIndices:p};return i&&(h.selectedScores=m),u&&(h.validOutputs=f),h}function R6(r,t,e){let n=r.subarray(t*4,t*4+4),o=r.subarray(e*4,e*4+4),s=Math.min(n[0],n[2]),i=Math.min(n[1],n[3]),a=Math.max(n[0],n[2]),u=Math.max(n[1],n[3]),l=Math.min(o[0],o[2]),c=Math.min(o[1],o[3]),p=Math.max(o[0],o[2]),m=Math.max(o[1],o[3]),f=(a-s)*(u-i),d=(p-l)*(m-c);if(f<=0||d<=0)return 0;let h=Math.max(s,l),g=Math.max(i,c),x=Math.min(a,p),b=Math.min(u,m),w=Math.max(x-h,0)*Math.max(b-g,0);return w/(f+d-w)}function F6(r,t,e){let n=Math.exp(t*e*e);return e<=r?n:0}function j_(r,t){return r.score-t.score||r.score===t.score&&t.boxIndex-r.boxIndex}async function O6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY){let s=I(r,"boxes","nonMaxSuppressionAsync"),i=I(t,"scores","nonMaxSuppressionAsync"),a=wo(s,i,e,n,o);e=a.maxOutputSize,n=a.iouThreshold,o=a.scoreThreshold;let u=await Promise.all([s.data(),i.data()]),l=u[0],c=u[1],{selectedIndices:p}=fy(l,c,e,n,o);return s!==r&&s.dispose(),i!==t&&i.dispose(),Me(p,"int32")}var X_=O6;function P6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY,s=0){let i=I(r,"boxes","nonMaxSuppression"),a=I(t,"scores","nonMaxSuppression"),u=wo(i,a,e,n,o,s);e=u.maxOutputSize,n=u.iouThreshold,o=u.scoreThreshold,s=u.softNmsSigma;let l={boxes:i,scores:a},c={maxOutputSize:e,iouThreshold:n,scoreThreshold:o,softNmsSigma:s},p=k.runKernel(Oa,l,c);return{selectedIndices:p[0],selectedScores:p[1]}}var Y_=T({nonMaxSuppressionWithScore_:P6});async function L6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY,s=0){let i=I(r,"boxes","nonMaxSuppressionAsync"),a=I(t,"scores","nonMaxSuppressionAsync"),u=wo(i,a,e,n,o,s);e=u.maxOutputSize,n=u.iouThreshold,o=u.scoreThreshold,s=u.softNmsSigma;let l=await Promise.all([i.data(),a.data()]),c=l[0],p=l[1],{selectedIndices:m,selectedScores:f}=hy(c,p,e,n,o,s);return i!==r&&i.dispose(),a!==t&&a.dispose(),{selectedIndices:Me(m,"int32"),selectedScores:Me(f)}}var Z_=L6;function M6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY,s=!1){let i=I(r,"boxes","nonMaxSuppression"),a=I(t,"scores","nonMaxSuppression"),u=wo(i,a,e,n,o,null),l=u.maxOutputSize,c=u.iouThreshold,p=u.scoreThreshold,m={boxes:i,scores:a},f={maxOutputSize:l,iouThreshold:c,scoreThreshold:p,padToMaxOutputSize:s},d=k.runKernel(Fa,m,f);return{selectedIndices:d[0],validOutputs:d[1]}}var J_=T({nonMaxSuppressionPadded_:M6});async function z6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY,s=!1){let i=I(r,"boxes","nonMaxSuppressionAsync"),a=I(t,"scores","nonMaxSuppressionAsync"),u=wo(i,a,e,n,o,null),l=u.maxOutputSize,c=u.iouThreshold,p=u.scoreThreshold,[m,f]=await Promise.all([i.data(),a.data()]),{selectedIndices:d,validOutputs:h}=dy(m,f,l,c,p,s);return i!==r&&i.dispose(),a!==t&&a.dispose(),{selectedIndices:Me(d,"int32"),validOutputs:mt(h,"int32")}}var Q_=z6;function B6(r,t,e=!1,n=!1){let o=I(r,"images","resizeBilinear");E(o.rank===3||o.rank===4,()=>`Error in resizeBilinear: x must be rank 3 or 4, but got rank ${o.rank}.`),E(t.length===2,()=>`Error in resizeBilinear: new shape must 2D, but got shape ${t}.`),E(n===!1||e===!1,()=>"Error in resizeBilinear: If halfPixelCenters is true, alignCorners must be false.");let s=o,i=!1;o.rank===3&&(i=!0,s=R(o,[1,o.shape[0],o.shape[1],o.shape[2]]));let[]=t,a={images:s},u={alignCorners:e,halfPixelCenters:n,size:t},l=k.runKernel(Ss,a,u);return i?R(l,[l.shape[1],l.shape[2],l.shape[3]]):l}var gy=T({resizeBilinear_:B6});function V6(r,t,e=!1,n=!1){let o=I(r,"images","resizeNearestNeighbor");E(o.rank===3||o.rank===4,()=>`Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank ${o.rank}.`),E(t.length===2,()=>`Error in resizeNearestNeighbor: new shape must 2D, but got shape ${t}.`),E(o.dtype==="float32"||o.dtype==="int32",()=>"`images` must have `int32` or `float32` as dtype"),E(n===!1||e===!1,()=>"Error in resizeNearestNeighbor: If halfPixelCenters is true, alignCorners must be false.");let s=o,i=!1;o.rank===3&&(i=!0,s=R(o,[1,o.shape[0],o.shape[1],o.shape[2]]));let[]=t,a={images:s},u={alignCorners:e,halfPixelCenters:n,size:t},l=k.runKernel(Is,a,u);return i?R(l,[l.shape[1],l.shape[2],l.shape[3]]):l}var xy=T({resizeNearestNeighbor_:V6});function G6(r,t="binary",e=!1,n=.5){let o=I(r,"image","threshold"),s=.2989,i=.587,a=.114,u=o.shape[0]*o.shape[1],l=D(Me([n]),255),c,p,m,f;if(E(o.rank===3,()=>`Error in threshold: image must be rank 3,but got rank ${o.rank}.`),E(o.shape[2]===3||o.shape[2]===1,()=>`Error in threshold: image color channel must be equal to 3 or 1but got ${o.shape[2]}.`),E(o.dtype==="int32"||o.dtype==="float32",()=>`Error in dtype: image dtype must be int32 or float32,but got dtype ${o.dtype}.`),E(t==="otsu"||t==="binary",()=>`Method must be binary or otsu, but was ${t}`),o.shape[2]===3){[c,p,m]=mr(o,[1,1,1],-1);let g=D(c,s),x=D(p,i),b=D(m,a);f=X(X(g,x),b)}else f=r;if(t==="otsu"){let g=wx(J(um(f),"int32"),ur([]),256);l=W6(g,u)}let d=e?Ln(f,l):Re(f,l);return J(D(d,255),"int32")}function W6(r,t){let e=Me([-1]),n=Me([0]),o=Me([0]),s,i,a,u,l,c;for(let p=0;p`Error in transform: image must be rank 4,but got rank ${i.rank}.`),E(a.rank===2&&(a.shape[0]===i.shape[0]||a.shape[0]===1)&&a.shape[1]===8,()=>"Error in transform: Input transform should be batch x 8 or 1 x 8"),E(s==null||s.length===2,()=>`Error in transform: outputShape must be [height, width] or null, but got ${s}.`);let u={image:i,transforms:a},l={interpolation:e,fillMode:n,fillValue:o,outputShape:s};return k.runKernel(Ha,u,l)}var eA=T({transform_:U6});function H6(r,t,e){E(t%1===0,()=>`bandPart(): numLower must be an integer, got ${t}.`),E(e%1===0,()=>`bandPart(): numUpper must be an integer, got ${e}.`);let n=I(r,"a","bandPart");E(n.rank>=2,()=>`bandPart(): Rank must be at least 2, got ${n.rank}.`);let o=n.shape,[s,i]=n.shape.slice(-2);if(!(t<=s))throw new Error(`bandPart(): numLower (${t}) must not be greater than the number of rows (${s}).`);if(!(e<=i))throw new Error(`bandPart(): numUpper (${e}) must not be greater than the number of columns (${i}).`);t<0&&(t=s),e<0&&(e=i);let a=R(su(0,s,1,"int32"),[-1,1]),u=su(0,i,1,"int32"),l=ct(a,u),c=Rr(Ln(l,mt(+t,"int32")),ln(l,mt(-e,"int32"))),p=Ne([s,i],n.dtype);return R(nr(vr(R(n,[-1,s,i])).map(m=>_e(c,m,p))),o)}var rA=T({bandPart_:H6});function q6(r){let t;if(Array.isArray(r)){t=!1,E(r!=null&&r.length>0,()=>"Gram-Schmidt process: input must not be null, undefined, or empty");let o=r[0].shape[0];for(let s=1;s`Gram-Schmidt: Non-unique lengths found in the input vectors: (${r[s].shape[0]} vs. ${o})`)}else t=!0,r=mr(r,r.shape[0],0).map(o=>Mn(o,[0]));E(r.length<=r[0].shape[0],()=>`Gram-Schmidt: Number of vectors (${r.length}) exceeds number of dimensions (${r[0].shape[0]}).`);let e=[],n=r;for(let o=0;o{let s=n[o];if(o>0)for(let i=0;i=2,()=>`qr() requires input tensor to have a rank >= 2, but got rank ${r.rank}`),r.rank===2)return oA(r,t);{let e=r.shape.slice(0,r.shape.length-2).reduce((u,l)=>u*l),n=vr(R(r,[e,r.shape[r.shape.length-2],r.shape[r.shape.length-1]]),0),o=[],s=[];n.forEach(u=>{let[l,c]=oA(u,t);o.push(l),s.push(c)});let i=R(nr(o,0),r.shape),a=R(nr(s,0),r.shape);return[i,a]}}function oA(r,t=!1){return k.tidy(()=>{E(r.shape.length===2,()=>`qr2d() requires a 2D Tensor, but got a ${r.shape.length}D Tensor.`);let e=r.shape[0],n=r.shape[1],o=Yu(e),s=sn(r),i=Vs([[1]],[1,1]),a=sn(i),u=e>=n?n:e;for(let l=0;l{let f=Rt(s,[l,l],[e-l,1]),d=Qa(f),h=Rt(s,[l,l],[1,1]),g=_e(Re(h,0),Vs([[-1]]),Vs([[1]])),x=ct(h,D(g,d)),b=pt(f,x);b.shape[0]===1?a=sn(i):a=ne([i,Rt(b,[1,0],[b.shape[0]-1,b.shape[1]])],0);let w=Ht(pt(Lt(g,x),d)),C=Rt(s,[l,0],[e-l,n]),N=D(w,a),_=Ot(a);if(l===0)s=ct(C,Lt(N,Lt(_,C)));else{let F=ct(C,Lt(N,Lt(_,C)));s=ne([Rt(s,[0,0],[l,n]),F],0)}let A=Ot(N),$=Rt(o,[0,l],[e,o.shape[1]-l]);if(l===0)o=ct($,Lt(Lt($,a),A));else{let F=ct($,Lt(Lt($,a),A));o=ne([Rt(o,[0,0],[e,l]),F],1)}return[a,s,o]}),vt([c,p,m])}return!t&&e>n&&(o=Rt(o,[0,0],[e,n]),s=Rt(s,[0,0],[n,n])),[o,s]})}var sA=T({qr_:K6});var Xe;(function(r){r[r.NONE=0]="NONE",r[r.MEAN=1]="MEAN",r[r.SUM=2]="SUM",r[r.SUM_BY_NONZERO_WEIGHTS=3]="SUM_BY_NONZERO_WEIGHTS"})(Xe||(Xe={}));function j6(r,t,e=Xe.SUM_BY_NONZERO_WEIGHTS){let n=I(r,"losses","computeWeightedLoss"),o=null;t!=null&&(o=I(t,"weights","computeWeightedLoss"));let s=o==null?n:D(n,o);if(e===Xe.NONE)return s;if(e===Xe.SUM)return ft(s);if(e===Xe.MEAN){if(o==null)return ve(s);{let i=n.size/o.size,a=pt(ft(s),ft(o));return i>1?pt(a,mt(i)):a}}if(e===Xe.SUM_BY_NONZERO_WEIGHTS){if(o==null)return pt(ft(s),mt(n.size));{let i=D(o,cr(n.shape)),a=J(ft(Bs(i,mt(0))),"float32");return pt(ft(s),a)}}throw Error(`Unknown reduction: ${e}`)}var Gr=T({computeWeightedLoss_:j6});function X6(r,t,e,n=Xe.SUM_BY_NONZERO_WEIGHTS){let o=I(r,"labels","absoluteDifference"),s=I(t,"predictions","absoluteDifference"),i=null;e!=null&&(i=I(e,"weights","absoluteDifference")),$e(o.shape,s.shape,"Error in absoluteDifference: ");let a=Ee(ct(o,s));return Gr(a,i,n)}var iA=T({absoluteDifference_:X6});function Y6(r,t,e,n,o=Xe.SUM_BY_NONZERO_WEIGHTS){let s=I(r,"labels","cosineDistance"),i=I(t,"predictions","cosineDistance"),a=null;n!=null&&(a=I(n,"weights","cosineDistance")),$e(s.shape,i.shape,"Error in cosineDistance: ");let u=mt(1),l=ct(u,ft(D(s,i),e,!0));return Gr(l,a,o)}var aA=T({cosineDistance_:Y6});function Z6(r,t,e,n=Xe.SUM_BY_NONZERO_WEIGHTS){let o=I(r,"labels","hingeLoss"),s=I(t,"predictions","hingeLoss"),i=null;e!=null&&(i=I(e,"weights","hingeLoss")),$e(o.shape,s.shape,"Error in hingeLoss: ");let a=mt(1);o=ct(D(mt(2),o),a);let u=Fr(ct(a,D(o,s)));return Gr(u,i,n)}var lA=T({hingeLoss_:Z6});function J6(r,t,e,n=1,o=Xe.SUM_BY_NONZERO_WEIGHTS){let s=I(r,"labels","huberLoss"),i=I(t,"predictions","huberLoss"),a=null;e!=null&&(a=I(e,"weights","huberLoss")),$e(s.shape,i.shape,"Error in huberLoss: ");let u=mt(n),l=Ee(ct(i,s)),c=Mi(l,u),p=ct(l,c),m=X(D(mt(.5),Mt(c)),D(u,p));return Gr(m,a,o)}var uA=T({huberLoss_:J6});function Q6(r,t,e,n=1e-7,o=Xe.SUM_BY_NONZERO_WEIGHTS){let s=I(r,"labels","logLoss"),i=I(t,"predictions","logLoss"),a=null;e!=null&&(a=I(e,"weights","logLoss")),$e(s.shape,i.shape,"Error in logLoss: ");let u=mt(1),l=mt(n),c=Ht(D(s,Sr(X(i,l)))),p=D(ct(u,s),Sr(X(ct(u,i),l))),m=ct(c,p);return Gr(m,a,o)}var cA=T({logLoss_:Q6});function tX(r,t,e,n=Xe.SUM_BY_NONZERO_WEIGHTS){let o=I(r,"labels","meanSquaredError"),s=I(t,"predictions","meanSquaredError"),i=null;e!=null&&(i=I(e,"weights","meanSquaredError")),$e(o.shape,s.shape,"Error in meanSquaredError: ");let a=ym(o,s);return Gr(a,i,n)}var pA=T({meanSquaredError_:tX});function eX(r,t){let e=I(r,"labels","sigmoidCrossEntropyWithLogits"),n=I(t,"logits","sigmoidCrossEntropyWithLogits");$e(e.shape,n.shape,"Error in sigmoidCrossEntropyWithLogits: ");let o=Fr(n),s=D(n,e),i=tu(er(Ht(Ee(n))));return X(ct(o,s),i)}function rX(r,t,e,n=0,o=Xe.SUM_BY_NONZERO_WEIGHTS){let s=I(r,"multiClassLabels","sigmoidCrossEntropy"),i=I(t,"logits","sigmoidCrossEntropy"),a=null;if(e!=null&&(a=I(e,"weights","sigmoidCrossEntropy")),$e(s.shape,i.shape,"Error in sigmoidCrossEntropy: "),n>0){let l=mt(n),c=mt(1),p=mt(.5);s=X(D(s,ct(c,l)),D(p,l))}let u=eX(s,i);return Gr(u,a,o)}var mA=T({sigmoidCrossEntropy_:rX});function nX(r,t,e=-1){if(e===-1&&(e=t.rank-1),e!==t.rank-1)throw Error(`Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank ${t.rank} and dim was ${e}`);return un((o,s,i)=>{let u=im(s,[e],!0),l=ct(J(s,"float32"),u);i([o,l]);let c=Ht(D(l,o));return{value:ft(c,[e]),gradFunc:(f,d)=>{let[h,g]=d,x=yo(f.shape,[e]);return[D(R(f,x),ct(J(h,"float32"),er(g))),D(R(f,x),ct(er(g),J(h,"float32")))]}}})(r,t)}function oX(r,t,e,n=0,o=Xe.SUM_BY_NONZERO_WEIGHTS){let s=I(r,"onehotLabels","softmaxCrossEntropy"),i=I(t,"logits","softmaxCrossEntropy"),a=null;if(e!=null&&(a=I(e,"weights","softmaxCrossEntropy")),$e(s.shape,i.shape,"Error in softmaxCrossEntropy: "),n>0){let l=mt(n),c=mt(1),p=mt(s.shape[1]);s=X(D(s,ct(c,l)),pt(l,p))}let u=nX(s,i);return Gr(u,a,o)}var fA=T({softmaxCrossEntropy_:oX});function sX(r,t,e,n){let o=I(r,"indices","sparseFillEmptyRows","int32"),s=I(t,"values","sparseFillEmptyRows"),i=I(e,"denseShape","sparseFillEmptyRows","int32"),a=I(n,"defaultValue","sparseFillEmptyRows",s.dtype);if(o.rank!==2)throw new Error(`Indices should be Tensor2D but received shape + ${o.shape}`);if(s.rank!==1)throw new Error(`Values should be Tensor1D but received shape ${s.shape}`);if(i.rank!==1)throw new Error(`Dense shape should be Tensor1D but received shape ${i.shape}`);if(a.rank!==0)throw new Error(`Default value should be a scalar but received shape ${a.shape}`);let u={indices:o,values:s,denseShape:i,defaultValue:a},l=k.runKernel(Pl,u);return{outputIndices:l[0],outputValues:l[1],emptyRowIndicator:l[2],reverseIndexMap:l[3]}}var dA=T({sparseFillEmptyRows_:sX});function iX(r,t,e){let n=I(r,"inputIndices","sparseReshape","int32"),o=I(t,"inputShape","sparseReshape","int32"),s=I(e,"newShape","sparseReshape","int32");if(n.rank!==2)throw new Error(`Input indices should be Tensor2D but received shape + ${n.shape}`);if(o.rank!==1)throw new Error(`Input shape should be Tensor1D but received shape ${o.shape}`);if(s.rank!==1)throw new Error(`New shape should be Tensor1D but received shape ${s.shape}`);let i={inputIndices:n,inputShape:o,newShape:s},a=k.runKernel(Ga,i);return{outputIndices:a[0],outputShape:a[1]}}var hA=T({sparseReshape_:iX});function aX(r,t,e){let n=I(r,"data","sparseSegmentMean"),o=I(t,"indices","sparseSegmentMean","int32"),s=I(e,"segmentIds","sparseSegmentMean","int32");if(n.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.rank!==1)throw new Error(`Indices should be Tensor1D but received shape ${o.shape}`);if(s.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape - ${s.shape}`);let i={data:n,indices:o,segmentIds:s};return T.runKernel(Ol,i)}var pA=k({sparseSegmentMean_:X6});function Y6(r,t,e){let n=I(r,"data","sparseSegmentSum"),o=I(t,"indices","sparseSegmentSum","int32"),s=I(e,"segmentIds","sparseSegmentSum","int32");if(n.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.rank!==1)throw new Error(`Indices should be Tensor1D but received shape + ${s.shape}`);let i={data:n,indices:o,segmentIds:s};return k.runKernel(Ll,i)}var gA=T({sparseSegmentMean_:aX});function lX(r,t,e){let n=I(r,"data","sparseSegmentSum"),o=I(t,"indices","sparseSegmentSum","int32"),s=I(e,"segmentIds","sparseSegmentSum","int32");if(n.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.rank!==1)throw new Error(`Indices should be Tensor1D but received shape ${o.shape}`);if(s.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape - ${s.shape}`);let i={data:n,indices:o,segmentIds:s};return T.runKernel(Pl,i)}var mA=k({sparseSegmentSum_:Y6});function Z6(r,t,e,n,o,s,i,a){let u=I(r,"data","stringNGrams","string");if(u.dtype!=="string")throw new Error("Data must be of datatype string");if(u.shape.length!==1)throw new Error(`Data must be a vector, saw: ${u.shape}`);let l=I(t,"dataSplits","stringNGrams");if(l.dtype!=="int32")throw new Error("Data splits must be of datatype int32");let c={separator:e,nGramWidths:n,leftPad:o,rightPad:s,padWidth:i,preserveShortSequences:a},p={data:u,dataSplits:l},m=T.runKernel(Ml,p,c);return{nGrams:m[0],nGramsSplits:m[1]}}var fA=k({stringNGrams_:Z6});function J6(r,t,e=!0){let n=I(r,"input","stringSplit","string"),o=I(t,"delimiter","stringSplit","string");if(n.rank!==1)throw new Error(`Input should be Tensor1D but received shape ${n.shape}`);if(o.rank!==0)throw new Error(`Delimiter should be a scalar but received shape ${o.shape}`);let s={skipEmpty:e},i={input:n,delimiter:o},a=T.runKernel(zl,i,s);return{indices:a[0],values:a[1],shape:a[2]}}var dA=k({stringSplit_:J6});function Q6(r,t){let e=I(r,"input","stringToHashBucketFast","string"),n={numBuckets:t};if(t<=0)throw new Error("Number of buckets must be at least 1");let o={input:e};return T.runKernel(Bl,o,n)}var hA=k({stringToHashBucketFast_:Q6});var tX={fft:su,ifft:Za,rfft:iu,irfft:gm},eX={hammingWindow:O_,hannWindow:iy,frame:ay,stft:P_},lu={flipLeftRight:M_,grayscaleToRGB:z_,resizeNearestNeighbor:my,resizeBilinear:py,rotateWithOffset:B_,cropAndResize:L_,nonMaxSuppression:V_,nonMaxSuppressionAsync:U_,nonMaxSuppressionWithScore:H_,nonMaxSuppressionWithScoreAsync:q_,nonMaxSuppressionPadded:K_,nonMaxSuppressionPaddedAsync:j_,threshold:X_,transform:Y_},i0={bandPart:Z_,gramSchmidt:J_,qr:tA},rX={absoluteDifference:eA,computeWeightedLoss:Vr,cosineDistance:rA,hingeLoss:nA,huberLoss:oA,logLoss:sA,meanSquaredError:iA,sigmoidCrossEntropy:aA,softmaxCrossEntropy:lA},nX={sparseFillEmptyRows:uA,sparseReshape:cA,sparseSegmentMean:pA,sparseSegmentSum:mA},oX={stringNGrams:fA,stringSplit:dA,stringToHashBucketFast:hA};var Gr=class extends sh{minimize(t,e=!1,n){let{value:o,grads:s}=this.computeGradients(t,n);if(n!=null){let i=n.map(a=>({name:a.name,tensor:s[a.name]}));this.applyGradients(i)}else this.applyGradients(s);return St(s),e?o:(o.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(t,e){return Ox(t,e)}dispose(){this.iterations_!=null&&St(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:"iter",tensor:mt(this.iterations_,"int32")}}async getWeights(){throw new Error("getWeights() is not implemented for this optimizer yet.")}async setWeights(t){throw new Error(`setWeights() is not implemented for this optimizer class ${this.getClassName()}`)}async extractIterations(t){return this.iterations_=(await t[0].tensor.data())[0],t.slice(1)}};Object.defineProperty(Gr,Symbol.hasInstance,{value:r=>r.minimize!=null&&r.computeGradients!=null&&r.applyGradients!=null});var uu=class extends Gr{constructor(t,e,n=null){super(),this.learningRate=t,this.rho=e,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],n==null&&(this.epsilon=T.backend.epsilon())}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=T.registeredVariables[n],i=!1;this.accumulatedGrads[o]==null&&(this.accumulatedGrads[o]={originalName:`${n}/accum_grad`,variable:B(()=>It(s).variable(i))}),this.accumulatedUpdates[o]==null&&(this.accumulatedUpdates[o]={originalName:`${n}/accum_var`,variable:B(()=>It(s).variable(i))});let a=Array.isArray(t)?t[o].tensor:t[n];if(a==null)return;let u=this.accumulatedGrads[o].variable,l=this.accumulatedUpdates[o].variable;B(()=>{let c=X(R(u,this.rho),R(Mt(a),1-this.rho)),p=R(pt(ve(X(l,this.epsilon)),ve(X(u,this.epsilon))),a),m=X(R(l,this.rho),R(Mt(p),1-this.rho));u.assign(c),l.assign(m);let f=X(R(p,-this.learningRate),s);s.assign(f)})}),this.incrementIterations()}dispose(){this.accumulatedUpdates!=null&&(St(this.accumulatedGrads.map(t=>t.variable)),St(this.accumulatedUpdates.map(t=>t.variable)))}async getWeights(){let t=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(t.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(t){t=await this.extractIterations(t);let e=t.length/2,n=!1;this.accumulatedGrads=t.slice(0,e).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.accumulatedUpdates=t.slice(e,e*2).map(o=>({originalName:o.name,variable:o.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(t,e){return new t(e.learningRate,e.rho,e.epsilon)}};uu.className="Adadelta";wn(uu);var cu=class extends Gr{constructor(t,e=.1){super(),this.learningRate=t,this.initialAccumulatorValue=e,this.accumulatedGrads=[]}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=T.registeredVariables[n];this.accumulatedGrads[o]==null&&(this.accumulatedGrads[o]={originalName:`${n}/accumulator`,variable:B(()=>go(s.shape,this.initialAccumulatorValue).variable(!1))});let i=Array.isArray(t)?t[o].tensor:t[n];if(i==null)return;let a=this.accumulatedGrads[o].variable;B(()=>{let u=X(a,Mt(i));a.assign(u);let l=X(R(pt(i,ve(X(u,T.backend.epsilon()))),-this.learningRate),s);s.assign(l)})}),this.incrementIterations()}dispose(){this.accumulatedGrads!=null&&St(this.accumulatedGrads.map(t=>t.variable))}async getWeights(){return[await this.saveIterations()].concat(this.accumulatedGrads.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(t){t=await this.extractIterations(t);let e=!1;this.accumulatedGrads=t.map(n=>({originalName:n.name,variable:n.tensor.variable(e)}))}getConfig(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}static fromConfig(t,e){return new t(e.learningRate,e.initialAccumulatorValue)}};cu.className="Adagrad";wn(cu);var pu=class extends Gr{constructor(t,e,n,o=null){super(),this.learningRate=t,this.beta1=e,this.beta2=n,this.epsilon=o,this.accumulatedFirstMoment=[],this.accumulatedSecondMoment=[],B(()=>{this.accBeta1=mt(e).variable(),this.accBeta2=mt(n).variable()}),o==null&&(this.epsilon=T.backend.epsilon())}applyGradients(t){let e=Array.isArray(t)?t.map(n=>n.name):Object.keys(t);B(()=>{let n=ct(1,this.accBeta1),o=ct(1,this.accBeta2);e.forEach((s,i)=>{let a=T.registeredVariables[s],u=!1;this.accumulatedFirstMoment[i]==null&&(this.accumulatedFirstMoment[i]={originalName:`${s}/m`,variable:B(()=>It(a).variable(u))}),this.accumulatedSecondMoment[i]==null&&(this.accumulatedSecondMoment[i]={originalName:`${s}/v`,variable:B(()=>It(a).variable(u))});let l=Array.isArray(t)?t[i].tensor:t[s];if(l==null)return;let c=this.accumulatedFirstMoment[i].variable,p=this.accumulatedSecondMoment[i].variable,m=X(R(c,this.beta1),R(l,1-this.beta1)),f=X(R(p,this.beta2),R(Mt(l),1-this.beta2)),d=pt(m,n),h=pt(f,o);c.assign(m),p.assign(f);let g=X(R(pt(d,X(ve(h),this.epsilon)),-this.learningRate),a);a.assign(g)}),this.accBeta1.assign(R(this.accBeta1,this.beta1)),this.accBeta2.assign(R(this.accBeta2,this.beta2))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.accBeta2.dispose(),this.accumulatedFirstMoment!=null&&St(this.accumulatedFirstMoment.map(t=>t.variable)),this.accumulatedSecondMoment!=null&&St(this.accumulatedSecondMoment.map(t=>t.variable))}async getWeights(){let t=[...this.accumulatedFirstMoment,...this.accumulatedSecondMoment];return[await this.saveIterations()].concat(t.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(t){t=await this.extractIterations(t),B(()=>{this.accBeta1.assign(an(this.beta1,this.iterations_+1)),this.accBeta2.assign(an(this.beta2,this.iterations_+1))});let e=t.length/2,n=!1;this.accumulatedFirstMoment=t.slice(0,e).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.accumulatedSecondMoment=t.slice(e,e*2).map(o=>({originalName:o.name,variable:o.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}static fromConfig(t,e){return new t(e.learningRate,e.beta1,e.beta2,e.epsilon)}};pu.className="Adam";wn(pu);var mu=class extends Gr{constructor(t,e,n,o=null,s=0){super(),this.learningRate=t,this.beta1=e,this.beta2=n,this.epsilon=o,this.decay=s,this.accumulatedFirstMoment=[],this.accumulatedWeightedInfNorm=[],B(()=>{this.iteration=mt(0).variable(),this.accBeta1=mt(e).variable()}),o==null&&(this.epsilon=T.backend.epsilon())}applyGradients(t){let e=Array.isArray(t)?t.map(n=>n.name):Object.keys(t);B(()=>{let n=ct(1,this.accBeta1),o=pt(-this.learningRate,X(R(this.iteration,this.decay),1));e.forEach((s,i)=>{let a=T.registeredVariables[s],u=!1;this.accumulatedFirstMoment[i]==null&&(this.accumulatedFirstMoment[i]={originalName:`${s}/m`,variable:It(a).variable(u)}),this.accumulatedWeightedInfNorm[i]==null&&(this.accumulatedWeightedInfNorm[i]={originalName:`${s}/v`,variable:It(a).variable(u)});let l=Array.isArray(t)?t[i].tensor:t[s];if(l==null)return;let c=this.accumulatedFirstMoment[i].variable,p=this.accumulatedWeightedInfNorm[i].variable,m=X(R(c,this.beta1),R(l,1-this.beta1)),f=R(p,this.beta2),d=Ee(l),h=In(f,d);c.assign(m),p.assign(h);let g=X(R(pt(o,n),pt(m,X(h,this.epsilon))),a);a.assign(g)}),this.iteration.assign(X(this.iteration,1)),this.accBeta1.assign(R(this.accBeta1,this.beta1))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.iteration.dispose(),this.accumulatedFirstMoment!=null&&St(this.accumulatedFirstMoment.map(t=>t.variable)),this.accumulatedWeightedInfNorm!=null&&St(this.accumulatedWeightedInfNorm.map(t=>t.variable))}async getWeights(){throw new Error("getWeights() is not implemented for Adamax yet.")}async setWeights(t){throw new Error("setWeights() is not implemented for Adamax yet.")}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}static fromConfig(t,e){return new t(e.learningRate,e.beta1,e.beta2,e.epsilon,e.decay)}};mu.className="Adamax";wn(mu);var Mi=class extends Gr{constructor(t){super(),this.learningRate=t,this.setLearningRate(t)}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=Array.isArray(t)?t[o].tensor:t[n];if(s==null)return;let i=T.registeredVariables[n];B(()=>{let a=X(R(this.c,s),i);i.assign(a)})}),this.incrementIterations()}setLearningRate(t){this.learningRate=t,this.c!=null&&this.c.dispose(),this.c=De(mt(-t))}dispose(){this.c.dispose()}async getWeights(){return[await this.saveIterations()]}async setWeights(t){if(t=await this.extractIterations(t),t.length!==0)throw new Error("SGD optimizer does not have settable weights.")}getConfig(){return{learningRate:this.learningRate}}static fromConfig(t,e){return new t(e.learningRate)}};Mi.className="SGD";wn(Mi);var fu=class extends Mi{constructor(t,e,n=!1){super(t),this.learningRate=t,this.momentum=e,this.useNesterov=n,this.accumulations=[],this.m=mt(this.momentum)}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=T.registeredVariables[n];this.accumulations[o]==null&&(this.accumulations[o]={originalName:`${n}/momentum`,variable:B(()=>It(s).variable(!1))});let i=this.accumulations[o].variable,a=Array.isArray(t)?t[o].tensor:t[n];a!=null&&B(()=>{let u,l=X(R(this.m,i),a);this.useNesterov?u=X(R(this.c,X(a,R(l,this.m))),s):u=X(R(this.c,l),s),i.assign(l),s.assign(u)})}),this.incrementIterations()}dispose(){this.m.dispose(),this.accumulations!=null&&St(this.accumulations.map(t=>t.variable))}setMomentum(t){this.momentum=t}async getWeights(){return[await this.saveIterations()].concat(this.accumulations.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(t){t=await this.extractIterations(t);let e=!1;this.accumulations=t.map(n=>({originalName:n.name,variable:n.tensor.variable(e)}))}getConfig(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}static fromConfig(t,e){return new t(e.learningRate,e.momentum,e.useNesterov)}};fu.className="Momentum";wn(fu);var du=class extends Gr{constructor(t,e=.9,n=0,o=null,s=!1){if(super(),this.learningRate=t,this.decay=e,this.momentum=n,this.epsilon=o,this.accumulatedMeanSquares=[],this.accumulatedMoments=[],this.accumulatedMeanGrads=[],this.centered=s,o==null&&(this.epsilon=T.backend.epsilon()),t==null)throw new Error("learningRate for RMSPropOptimizer must be defined.")}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=T.registeredVariables[n],i=!1;this.accumulatedMeanSquares[o]==null&&(this.accumulatedMeanSquares[o]={originalName:`${n}/rms`,variable:B(()=>It(s).variable(i))}),this.accumulatedMoments[o]==null&&(this.accumulatedMoments[o]={originalName:`${n}/momentum`,variable:B(()=>It(s).variable(i))}),this.accumulatedMeanGrads[o]==null&&this.centered&&(this.accumulatedMeanGrads[o]={originalName:`${n}/mg`,variable:B(()=>It(s).variable(i))});let a=Array.isArray(t)?t[o].tensor:t[n];if(a==null)return;let u=this.accumulatedMeanSquares[o].variable,l=this.accumulatedMoments[o].variable;B(()=>{let c=X(R(u,this.decay),R(Mt(a),1-this.decay));if(this.centered){let p=this.accumulatedMeanGrads[o].variable,m=X(R(p,this.decay),R(a,1-this.decay)),f=pt(R(a,this.learningRate),ve(ct(c,X(Mt(m),this.epsilon)))),d=X(R(l,this.momentum),f);u.assign(c),p.assign(m),l.assign(d);let h=ct(s,d);s.assign(h)}else{let p=X(R(u,this.decay),R(Mt(a),1-this.decay)),m=X(R(l,this.momentum),pt(R(a,this.learningRate),ve(X(p,this.epsilon))));u.assign(p),l.assign(m);let f=ct(s,m);s.assign(f)}})}),this.incrementIterations()}dispose(){this.accumulatedMeanSquares!=null&&St(this.accumulatedMeanSquares.map(t=>t.variable)),this.accumulatedMeanGrads!=null&&this.centered&&St(this.accumulatedMeanGrads.map(t=>t.variable)),this.accumulatedMoments!=null&&St(this.accumulatedMoments.map(t=>t.variable))}async getWeights(){let t=[...this.accumulatedMeanSquares,...this.accumulatedMoments];return this.centered&&t.push(...this.accumulatedMeanGrads),[await this.saveIterations()].concat(t.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(t){t=await this.extractIterations(t);let e=this.centered?t.length/3:t.length/2,n=!1;this.accumulatedMeanSquares=t.slice(0,e).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.accumulatedMoments=t.slice(e,e*2).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.centered&&(this.accumulatedMeanGrads=t.slice(e*2,e*3).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})))}getConfig(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}}static fromConfig(t,e){return new t(e.learningRate,e.decay,e.momentum,e.epsilon,e.centered)}};du.className="RMSProp";wn(du);var Vs=class{static sgd(t){return new Mi(t)}static momentum(t,e,n=!1){return new fu(t,e,n)}static rmsprop(t,e=.9,n=0,o=null,s=!1){return new du(t,e,n,o,s)}static adam(t=.001,e=.9,n=.999,o=null){return new pu(t,e,n,o)}static adadelta(t=.001,e=.95,n=null){return new uu(t,e,n)}static adamax(t=.002,e=.9,n=.999,o=null,s=0){return new mu(t,e,n,o,s)}static adagrad(t,e=.1){return new cu(t,e)}};var ic={sgd:Vs.sgd,momentum:Vs.momentum,adadelta:Vs.adadelta,adagrad:Vs.adagrad,rmsprop:Vs.rmsprop,adamax:Vs.adamax,adam:Vs.adam};var sX=(()=>typeof requestAnimationFrame!="undefined"?requestAnimationFrame:typeof setImmediate!="undefined"?setImmediate:r=>r())();function ph(){return new Promise(r=>sX(()=>r()))}var S={};Gt(S,{ERF_A1:()=>wX,ERF_A2:()=>CX,ERF_A3:()=>IX,ERF_A4:()=>vX,ERF_A5:()=>SX,ERF_P:()=>bX,PARALLELIZE_THRESHOLD:()=>fy,RowPartitionType:()=>zi,SELU_SCALE:()=>l0,SELU_SCALEALPHA:()=>a0,applyActivation:()=>oc,assertAndGetBroadcastShape:()=>Pt,assertAxesAreInnerMostDims:()=>Rq,assertParamsConsistent:()=>iX,assignToTypedArray:()=>AX,axesAreInnerMostDims:()=>KS,calculateShapes:()=>xE,checkEinsumDimSizes:()=>PX,checkPadOnDimRoundingMode:()=>Ie,combineLocations:()=>VE,combineRaggedTensorToTensorShapes:()=>lX,complexWithEvenIndex:()=>TX,complexWithOddIndex:()=>EX,computeConv2DInfo:()=>Ku,computeConv3DInfo:()=>RE,computeDefaultPad:()=>qS,computeDilation2DInfo:()=>OH,computeOptimalWindowSize:()=>mX,computeOutAndReduceShapes:()=>jS,computeOutShape:()=>aX,computePool2DInfo:()=>HS,computePool3DInfo:()=>PH,convertConv2DDataFormat:()=>FE,decodeEinsumEquation:()=>FX,eitherStridesOrDilationsAreOne:()=>_r,expandShapeToKeepDim:()=>xo,exponent:()=>DX,exponents:()=>$X,fromStringArrayToUint8:()=>n5,fromUint8ToStringArray:()=>r5,getAxesPermutation:()=>XS,getBroadcastDims:()=>dE,getComplexWithIndex:()=>_X,getEinsumComputePath:()=>LX,getEinsumPermutation:()=>OX,getFusedBiasGradient:()=>nc,getFusedDyActivation:()=>rc,getImageCenter:()=>fX,getInnerMostAxes:()=>Fq,getPermuted:()=>hX,getRaggedRank:()=>cX,getReductionAxes:()=>ge,getReshaped:()=>dX,getReshapedPermuted:()=>gX,getRowPartitionTypesHelper:()=>uX,getSliceBeginCoords:()=>xX,getSliceSize:()=>yX,getSparseFillEmptyRowsIndicesDenseShapeMismatch:()=>VX,getSparseFillEmptyRowsNegativeIndexErrorMessage:()=>GX,getSparseFillEmptyRowsOutOfRangeIndexErrorMessage:()=>WX,getSparseReshapeEmptyTensorZeroOutputDimErrorMessage:()=>qX,getSparseReshapeInputOutputMismatchErrorMessage:()=>jX,getSparseReshapeInputOutputMultipleErrorMessage:()=>KX,getSparseReshapeMultipleNegativeOneOutputDimErrorMessage:()=>UX,getSparseReshapeNegativeOutputDimErrorMessage:()=>HX,getSparseSegmentReductionIndicesOutOfRangeErrorMessage:()=>JX,getSparseSegmentReductionNegativeSegmentIdsErrorMessage:()=>XX,getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage:()=>YX,getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage:()=>ZX,getUndoAxesPermutation:()=>ih,isIdentityPermutation:()=>MX,log:()=>qU,mergeRealAndImagArrays:()=>NX,prepareAndValidate:()=>gE,prepareSplitSize:()=>BX,segment_util:()=>c0,shouldFuse:()=>sc,slice_util:()=>Pe,splitRealAndImagArrays:()=>kX,tupleValuesAreOne:()=>Qn,upcastType:()=>or,validateDefaultValueShape:()=>pX,validateInput:()=>tx,validateUpdateShape:()=>zS,warn:()=>Ii});function iX(r,t){let e=r[0].length;r.forEach((o,s)=>{E(o.length===e,()=>`Error in concat${e}D: rank of tensors[${s}] must be the same as the rank of the rest (${e})`)}),E(t>=0&&t`Error in concat${e}D: axis must be between 0 and ${e-1}.`);let n=r[0];r.forEach((o,s)=>{for(let i=0;i`Error in concat${e}D: Shape of tensors[${s}] (${o}) does not match the shape of the rest (${n}) along the non-concatenated axis ${s}.`)})}function aX(r,t){let e=r[0].slice();for(let n=1;n=0)if(a>=0){if(a!==s)throw new Error(`rt input.shape and shape=${t} are incompatible: rt input.shape[${o+r}] = ${s} but shape[${o+r}] = ${a}`)}else n[i]=s}return n}function uX(r){let t={FIRST_DIM_SIZE:zi.FIRST_DIM_SIZE,VALUE_ROWIDS:zi.VALUE_ROWIDS,ROW_LENGTHS:zi.ROW_LENGTHS,ROW_SPLITS:zi.ROW_SPLITS,ROW_LIMITS:zi.ROW_LIMITS,ROW_STARTS:zi.ROW_STARTS},e=[];for(let n of r)if(n in t)e.push(t[n]);else break;return e}function cX(r){return r.length===0?0:r[0]===zi.FIRST_DIM_SIZE?r.length-1:r.length}function pX(r,t){if(r==null||t==null)return;let e=r.length,n=t.length;if(e>=n)throw new Error(`defaultValue.shape=${r} and ragged tensor flatValues.shape=${t}, are incompatible: defaultValue.rank = ${e} must be less than ragged tensor input flatValues.rank = ${n})`);for(let o=0;o=0&&i>=0&&s!==1&&s!==i)throw new Error(`defaultValue.shape=${r}, and ragged tensor input flatValues.shape=${t} are incompatible: defaultValue.shape[${o-r.length}] = ${s} but ragged tensor input.flatValues.shape[${o-r.length}] = ${i}`)}}var fy=30;function mX(r){return r<=fy?r:sp(r,Math.floor(Math.sqrt(r)))}function fX(r,t,e){let n=e*(typeof r=="number"?r:r[0]),o=t*(typeof r=="number"?r:r[1]);return[n,o]}function dX(r,t,e,n=!0){let o=[];if(n)o=o.concat(t.slice(0)),o.push(r[0]/e),o=o.concat(r.slice(1));else{o=o.concat(r[0]);let s=t.length;for(let i=0;i=t*2+1||i%2===1?s.push(i):o.push(i);n.push(...o),n.push(0),n.push(...s)}return n}function gX(r,t,e,n=!0){let o=[];n?o.push(r[0]/e):o.push(r[0]*e);for(let s=1;s/g,gA=",",xA="...";function FX(r,t){r=r.replace(/\s/g,"");let e=(r.length-r.replace(RX,"").length)/u0.length;if(e<1)throw new Error("Equations without an arrow are not supported.");if(e>1)throw new Error(`Equation must contain exactly one arrow ("${u0}").`);let[n,o]=r.split(u0);E(n.indexOf(xA)===-1,()=>`The ellipsis notation ("${xA}") is not supported yet.`);let s=n.split(gA),i=s.length;if(t!==i)throw new Error(`Expected ${i} input tensors, received ${t}`);if(i>2)throw new Error("Support for more than 2 input tensors is not implemented yet.");let a=[];for(let m=0;md.indexOf(f)!==-1))throw new Error(`Output subscripts contain the label ${f} not present in the input subscripts.`);a.indexOf(f)===-1&&a.push(f)}for(let m=0;mo!==-1),{permutationIndices:e,expandDims:n}}function PX(r,t,e){let n=new Array(r);for(let o=0;o`Expected dimension ${n[t[o][i]]} at axis ${i} of input shaped ${JSON.stringify(s)}, but got dimension ${s[i]}`)}}function LX(r,t){let e=r,n=[],o=0;r.length===0&&e.push(-1),o=r.length+1;for(let i=0;it===e)}function zX(r,t){let e=[];for(let n=0;n"Number of splits must evenly divide the axis."),n=new Array(t).fill(r.shape[e]/t);else{let o=t.reduce((i,a)=>(a===-1&&(i+=1),i),0);E(o<=1,()=>"There should be only one negative value in split array.");let s=t.indexOf(-1);if(s!==-1){let i=t.reduce((a,u)=>u>0?a+u:a);t[s]=r.shape[e]-i}E(r.shape[e]===t.reduce((i,a)=>i+a),()=>"The sum of sizes must match the size of the axis dimension."),n=t}return n}function VX(r){return`Received SparseTensor with denseShape[0] = 0 but - indices.shape[0] = ${r}`}function GX(r,t){return`indices(${r}, 0) is invalid: ${t} < 0`}function WX(r,t,e){return`indices(${r}, 0) is invalid: ${t} >= ${e}`}function UX(r,t){return`only one output dimension may be -1, not both ${r} and ${t}`}function HX(r,t){return`size ${r} must be non-negative, not ${t}`}function qX(){return"reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero"}function KX(r,t){let e=Zt(r),n=Zt(t);return`Input to reshape is a SparseTensor with ${e} - dense values, but the requested shape requires a multiple of ${n}. inputShape=${r} outputShape= ${t}`}function jX(r,t){let e=Zt(r),n=Zt(t);return`Input to reshape is a tensor with ${e} dense values, but the requested shape has ${n}. inputShape=${r} outputShape=${t}`}function XX(){return"segment ids must be >= 0"}function YX(){return"segment ids are not increasing"}function ZX(r,t){return`Segment id ${r} out of range [0, ${t}), possibly because segmentIds input is not sorted.`}function JX(r,t,e){return`Bad: indices[${r}] == ${t} out of range [0, ${e})`}var c0={};Gt(c0,{collectGatherOpShapeInfo:()=>e5,computeOutShape:()=>t5,segOpComputeOptimalWindowSize:()=>QX});function QX(r,t){let e=!1,n;for(r<=fy?(n=r,e=!0):n=sp(r,Math.floor(Math.sqrt(r)));!e;)n>t||n===r?e=!0:n=sp(r,n+1);return n}function t5(r,t,e){let n=[],o=r.length;for(let s=0;so))throw new Error(`Expect batchDims in the range of [-${o}, ${o}], but got ${n}`);if(n<0&&(n+=o),n>s)throw new Error(`batchDims (${n}) must be less than rank(x) ( - ${s}).`);if(eGp(t))}catch(t){throw new Error(`Failed to decode encoded string bytes into utf-8, error: ${t}`)}}function n5(r){return r.map(t=>Wl(t))}var Wr={};Gt(Wr,{nonMaxSuppressionV3Impl:()=>ly,nonMaxSuppressionV4Impl:()=>uy,nonMaxSuppressionV5Impl:()=>cy,whereImpl:()=>ry});var dy={kernelName:oi,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>R(r,yo(J(e,"float32"),-1))}}};var yA={kernelName:ra,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=Mt(J(e,"float32")),o=ve(ct(mt(1),n));return Ut(pt(r,o))}}}};var bA={kernelName:na,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=ve(ct(Mt(J(e,"float32")),1));return pt(r,n)}}}};var wA={kernelName:Yn,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t,o=Pt(e.shape,n.shape);return{a:()=>{let a=r,u=ge(e.shape,o);return u.length>0&&(a=ft(a,u)),D(a,e.shape)},b:()=>{let a=r,u=ge(n.shape,o);return u.length>0&&(a=ft(a,u)),D(a,n.shape)}}}};var CA={kernelName:Vo,saveAllInputs:!0,gradFunc:(r,t)=>{let e={};return t.forEach((n,o)=>{e[o]=()=>r.clone()}),e}};var IA={kernelName:Go,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>It(e)}}};var vA={kernelName:Nl,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>It(e)}}};var SA={kernelName:ia,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,ve(ct(mt(1),Mt(J(e,"float32")))))}}};var NA={kernelName:aa,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=ve(X(mt(1),Mt(J(e,"float32"))));return pt(r,n)}}}};var kA={kernelName:ca,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t,o=Pt(e.shape,n.shape);return{a:()=>{let a=X(Mt(e),Mt(n)),u=R(r,pt(n,a)),l=ge(e.shape,o);return l.length>0&&(u=ft(u,l)),D(u,e.shape)},b:()=>{let a=X(Mt(e),Mt(n)),u=Ut(R(r,pt(e,a))),l=ge(n.shape,o);return l.length>0&&(u=ft(u,l)),D(u,n.shape)}}}};var TA={kernelName:la,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,X(Mt(J(e,"float32")),1))}}};var EA={kernelName:ua,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,ct(mt(1),Mt(J(e,"float32"))))}}};function o5(r,t,e,n,o,s){let i=I(r,"dy","avgPool3dGrad"),a=I(t,"input","avgPool3dGrad"),u=i,l=a,c=!1;a.rank===4&&(c=!0,u=D(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]]),l=D(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]])),E(u.rank===5,()=>`Error in avgPool3dGrad: dy must be rank 5 but got rank ${u.rank}.`),E(l.rank===5,()=>`Error in avgPool3dGrad: input must be rank 5 but got rank ${l.rank}.`),Ie("avgPool3dGrad",o,s);let p={dy:u,input:l},m={filterSize:e,strides:n,pad:o,dimRoundingMode:s},f=T.runKernel(lp,p,m);return c?D(f,[f.shape[1],f.shape[2],f.shape[3],f.shape[4]]):f}var _A=k({avgPool3dGrad_:o5});var AA={kernelName:kl,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,{filterSize:o,strides:s,pad:i,dimRoundingMode:a}=e;return{x:()=>_A(r,n,o,s,i,a)}}};function s5(r,t,e,n,o){let s=I(r,"dy","avgPoolGrad"),i=I(t,"input","avgPoolGrad");E(i.rank===s.rank,()=>`Rank of input (${i.rank}) does not match rank of dy (${s.rank})`);let a=i,u=s,l=!1;i.rank===3&&(l=!0,a=D(i,[1,i.shape[0],i.shape[1],i.shape[2]]),u=D(s,[1,s.shape[0],s.shape[1],s.shape[2]])),E(u.rank===4,()=>`Error in avgPoolGrad: dy must be rank 4 but got rank ${u.rank}.`),E(a.rank===4,()=>`Error in avgPoolGrad: input must be rank 4 but got rank ${a.rank}.`);let c={dy:u,input:a},p={filterSize:e,strides:n,pad:o},m=T.runKernel(ap,c,p);return l?D(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var $A=k({avgPoolGrad_:s5});var DA={kernelName:Wo,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,{filterSize:o,strides:s,pad:i}=e;return{x:()=>$A(r,n,o,s,i)}}};var RA={kernelName:Uo,inputsToSave:["a","b"],gradFunc:(r,t,e)=>{let[n,o]=t,{transposeA:s,transposeB:i}=e;return!s&&!i?{a:()=>Lt(r,o,!1,!0),b:()=>Lt(n,r,!0,!1)}:!s&&i?{a:()=>Lt(r,o,!1,!1),b:()=>Lt(r,n,!0,!1)}:s&&!i?{a:()=>Lt(o,r,!1,!0),b:()=>Lt(n,r,!1,!1)}:{a:()=>Lt(o,r,!0,!0),b:()=>Lt(r,n,!0,!0)}}};var FA={kernelName:si,gradFunc:(r,t,e)=>{let{blockShape:n,crops:o}=e;return{x:()=>eu(r,n,o)}}};var OA={kernelName:i1,gradFunc:(r,t,e)=>{let n=e,o=n.inputShape,s=n.shape,i=Array.from(s);for(let u=o.length-1;u>=0;u--)if(o[u]===s[u])i[u]=1;else if(o[u]!==1)throw new Error(`broadcastTo(): [${o}] cannot be broadcast to [${s}].`);let a=[];for(let u=0;u1&&a.push(u);return{x:()=>ft(r,a,!0)}}};var PA={kernelName:io,gradFunc:r=>({x:()=>r.clone()})};var LA={kernelName:Ho,gradFunc:r=>({x:()=>It(r)})};var MA={kernelName:ao,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,{clipValueMin:o,clipValueMax:s}=e;return{x:()=>_e(Dr(Fn(n,o),On(n,s)),r,It(r))}}};var zA={kernelName:Tl,inputsToSave:["x"],gradFunc:dy.gradFunc};var BA={kernelName:ii,saveAllInputs:!0,gradFunc:(r,t,e)=>{let n=t.map(u=>u.shape),{axis:o}=e,s=ar(o,t[0].shape)[0],i=n.map(u=>u[s]);return cr(r,i,s).map(u=>()=>u)}};var VA={kernelName:qo,inputsToSave:["x","filter"],gradFunc:(r,t,e)=>{let[n,o]=t,{dilations:s,strides:i,pad:a,dataFormat:u}=e;return E(Qn(s),()=>`Error in gradient of conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`),{x:()=>Qp(n.shape,r,o,i,a,u),filter:()=>wm(n,r,o.shape,i,a,u)}}};var GA={kernelName:Ko,inputsToSave:["dy","filter"],gradFunc:(r,t,e)=>{let[n,o]=t,{strides:s,pad:i,dataFormat:a,dimRoundingMode:u}=e;return{dy:()=>Cn(r,o,s,i,a,1,u),filter:()=>wm(r,n,o.shape,s,i,a,u)}}};function i5(r,t,e,n,o){let s=r;r.rank===4&&(s=D(r,[1,r.shape[0],r.shape[1],r.shape[2],r.shape[3]]));let i=t;i.rank===4&&(i=D(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]])),E(s.rank===5,()=>`Error in conv3dDerFilter: input must be rank 5, but got shape ${s.shape}.`),E(i.rank===5,()=>`Error in conv3dDerFilter: dy must be rank 5, but got shape ${i.shape}.`),E(e.length===5,()=>`Error in conv3dDerFilter: filterShape must be length 5, but got ${e}.`),E(s.shape[4]===e[3],()=>`Error in conv3dDerFilter: depth of input ${s.shape[4]}) must match input depth in filter (${e[3]}.`),E(i.shape[4]===e[4],()=>`Error in conv3dDerFilter: depth of dy (${i.shape[4]}) must match output depth for filter (${e[4]}).`);let a={x:s,dy:i},u={strides:n,pad:o,filterShape:e};return T.runKernel(fp,a,u)}var WA=k({conv3DBackpropFilter_:i5});var UA={kernelName:El,inputsToSave:["x","filter"],gradFunc:(r,t,e)=>{let{dilations:n,strides:o,pad:s}=e;E(Qn(n),()=>`Error in gradient of conv3D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${n}'`);let[i,a]=t;return{x:()=>Ix(i.shape,r,a,o,s),filter:()=>WA(i,r,a.shape,o,s)}}};var HA={kernelName:jo,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>R(Ut(mm(J(e,"float32"))),r)}}};var qA={kernelName:Xo,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>R(fm(J(e,"float32")),r)}}};var KA={kernelName:Yo,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,{axis:o,exclusive:s,reverse:i}=e;return{x:()=>{let a=XS([o],n.rank),u=rm(r,o,s,!i);return a!=null&&(u=Ot(u,a)),u}}}};var jA={kernelName:Zo,inputsToSave:["x","filter"],gradFunc:(r,t,e)=>{let{dilations:n,strides:o,pad:s,dimRoundingMode:i}=e,a=n==null?[1,1]:n;E(Qn(a),()=>`Error in gradient of depthwiseConv2dNative: dilation rates greater than 1 are not yet supported. Got dilations '${a}'`);let[u,l]=t;return E(u.rank===4,()=>`Error in gradient of depthwiseConv2dNative: input must be rank 4, but got rank ${u.rank}.`),E(l.rank===4,()=>`Error in gradient of depthwiseConv2dNative: filter must be rank 4, but got rank ${l.rank}.`),E(u.shape[3]===l.shape[2],()=>`Error in gradient of depthwiseConv2d: number of input channels (${u.shape[3]}) must match the inChannels dimension in filter ${l.shape[2]}.`),E(_r(o,a),()=>`Error in gradient of depthwiseConv2d: Either strides or dilations must be 1. Got strides ${o} and dilations '${a}'.`),Ie("depthwiseConv2d",s,i),{x:()=>sy(u.shape,r,l,o,s,a,i),filter:()=>oy(u,r,l.shape,o,s,a,i)}}};var XA={kernelName:_l,inputsToSave:["x","filter"],gradFunc:(r,t,e)=>{let[n,o]=t,s={x:n,filter:o,dy:r},i={x:n,filter:o,dy:r};return{x:()=>T.runKernel(Ud,s,e),filter:()=>T.runKernel(Hd,i,e)}}};var YA={kernelName:Qo,outputsToSave:[!0],gradFunc:(r,t)=>{let[e]=t,n={dy:r,y:e};return{x:()=>T.runKernel(wp,n)}}};var ZA={kernelName:da,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t,n=R(er(Ut(Mt(e))),2/Math.sqrt(Math.PI));return{x:()=>R(r,n)}}};var JA={kernelName:ts,outputsToSave:[!0],gradFunc:(r,t)=>{let[e]=t;return{x:()=>R(r,e)}}};var QA={kernelName:ai,inputsToSave:["input"],gradFunc:(r,t)=>{let[e]=t;return{input:()=>D(r,e.shape)}}};var t2={kernelName:ga,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>R(r,er(e))}}};var e2={kernelName:es,gradFunc:r=>({x:()=>It(r)})};var r2={kernelName:rs,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t,o=Pt(e.shape,n.shape);return{a:()=>{let a=pt(r,J(n,"float32")),u=ge(e.shape,o);return u.length>0?D(ft(a,u),e.shape):a},b:()=>{let a=R(r,J(e,"float32")),u=ge(n.shape,o);u.length>0&&(a=D(ft(a,u),n.shape));let l=Mt(n);return Ut(pt(a,J(l,"float32")))}}}};var n2={kernelName:ns,inputsToSave:["x","mean","variance","scale"],gradFunc:(r,t,e)=>{let{varianceEpsilon:n}=e,[o,s,i,a]=t,u=a==null?mt(1):a,l=ge(s.shape,o.shape),c=[];if(s.rank===1){for(let C=0;Cs.rank===1?D(R(R(r,$r(D(f,[1,1,1,s.shape[0]]),c)),u),o.shape):D(R(R(r,f),u),o.shape),mean:()=>{let C=R(R(f,mt(-1)),m);return s.rank===1&&(C=ft(C,l)),D(C,s.shape)},variance:()=>{let C=R(R(d,p),m);return s.rank===1&&(C=ft(C,l)),D(C,s.shape)},scale:()=>{let C=R(p,f),N=R(r,C);return s.rank===1&&(N=ft(N,l)),D(N,s.shape)},offset:()=>{let C=r;return s.rank===1&&(C=ft(C,l)),D(C,s.shape)}}}};var i2={kernelName:li,inputsToSave:["x","indices"],gradFunc:(r,t,e)=>{let[n,o]=t,{axis:s}=e,i=ar(s,n.shape)[0];return{x:()=>{let u=n.shape,l=o.size,c=u.slice(0,i),p=c.length,m=u.slice(s,u.length).slice(1),f=m.length,d=o2(0,p),h=o2(p+1,p+1+f),g=s2([c,[l],m]),x=D(r,g),b=D(o,[l]),w=s2([[p],d,h]),C=Ot(x,w),N=bm(C,b,n.shape[i]),_=ih(w);return N=Ot(N,_),N},indices:()=>o}}};function o2(r,t){let e=[];for(let n=r;n{let[e,n]=t;return{a:()=>It(e),b:()=>It(n)}}};var l2={kernelName:lo,gradFunc:r=>({x:()=>J(r,"float32")})};var u2={kernelName:wa,gradFunc:r=>({x:()=>It(r)})};var c2={kernelName:Ca,gradFunc:r=>({x:()=>It(r)})};var p2={kernelName:Ia,gradFunc:r=>({x:()=>It(r)})};var m2={kernelName:ss,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,{alpha:o}=e,s=He(n,0);return{x:()=>_e(s,r,R(r,o))}}};var f2={kernelName:Na,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,X(e,1))}}};var d2={kernelName:is,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,J(e,"float32"))}}};var h2={kernelName:l1,inputsToSave:[],outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n]=t,{axis:o}=e;return{logits:()=>{let i=er(n);return ct(r,R(ft(r,o,!0),i))}}}};function a5(r,t,e,n=5,o=1,s=1,i=.5){let a={x:r,y:t,dy:e},u={depthRadius:n,bias:o,alpha:s,beta:i};return T.runKernel(Np,a,u)}var g2=k({localResponseNormalizationBackprop_:a5});var x2={kernelName:$l,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n,o]=t,{depthRadius:s,bias:i,alpha:a,beta:u}=e;return{x:()=>g2(n,o,r,s,i,a,u)}}};function hy(r,t,e,n){return t.rankR(r,J(Ar(e,t),r.dtype))}}var p0={kernelName:as,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let n=e,{reductionIndices:o}=n,s=t[0],i=t[1],a=ar(o,s.shape),u=hy(r,i,s,a);return{x:()=>u.x()}}};var y2={kernelName:ls,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t;return{a:()=>R(r,J(Fn(e,n),"float32")),b:()=>R(r,J(nm(e,n),"float32"))}}};function l5(r,t,e,n,o,s,i){let a=I(r,"dy","maxPool3dGrad"),u=I(t,"input","maxPool3dGrad"),l=I(e,"output","maxPool3dGrad"),c=a,p=u,m=l,f=!1;u.rank===4&&(f=!0,c=D(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]]),p=D(u,[1,u.shape[0],u.shape[1],u.shape[2],u.shape[3]]),m=D(l,[1,l.shape[0],l.shape[1],l.shape[2],l.shape[3]])),E(c.rank===5,()=>`Error in maxPool3dGrad: dy must be rank 5 but got rank ${c.rank}.`),E(p.rank===5,()=>`Error in maxPool3dGrad: input must be rank 5 but got rank ${p.rank}.`),E(m.rank===5,()=>`Error in maxPool3dGrad: output must be rank 5 but got rank ${m.rank}.`),Ie("maxPool3dGrad",s,i);let d={dy:c,input:p,output:m},h={filterSize:n,strides:o,pad:s,dimRoundingMode:i},g=T.runKernel(Tp,d,h);return f?D(g,[g.shape[1],g.shape[2],g.shape[3],g.shape[4]]):g}var b2=k({maxPool3dGrad_:l5});var w2={kernelName:Dl,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n,o]=t,{filterSize:s,strides:i,pad:a,dimRoundingMode:u}=e;return{x:()=>b2(r,n,o,s,i,a,u)}}};function u5(r,t,e,n,o,s,i){let a=I(r,"dy","maxPoolGrad"),u=I(t,"input","maxPoolGrad"),l=I(e,"output","maxPoolGrad");E(u.rank===a.rank,()=>`Rank of input (${u.rank}) does not match rank of dy (${a.rank})`),E(a.rank===4,()=>`Error in maxPoolGrad: dy must be rank 4 but got rank ${a.rank}.`),E(u.rank===4,()=>`Error in maxPoolGrad: input must be rank 4 but got rank ${u.rank}.`),Ie("maxPoolGrad",s,i);let c={dy:a,input:u,output:l},p={filterSize:n,strides:o,pad:s,dimRoundingMode:i};return T.runKernel(kp,c,p)}var C2=k({maxPoolGrad_:u5});var I2={kernelName:us,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n,o]=t,{filterSize:s,strides:i,pad:a}=e;return{x:()=>C2(r,n,o,s,i,a)}}};var v2={kernelName:cs,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,{axis:o}=e,s=ar(o,n.shape),a=jS(n.shape,s)[1],u=Zt(a);return{x:()=>{let c=n.shape.slice();s.forEach(f=>{c[f]=1});let p=D(r,c);return pt(R(p,lr(n.shape,"float32")),u)}}}};var S2={kernelName:ps,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let n=e,{axis:o}=n,[s,i]=t,a=ar(o,s.shape),u=hy(r,i,s,a);return{x:()=>u.x()}}};var N2={kernelName:ms,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t;return{a:()=>R(r,J(On(e,n),"float32")),b:()=>R(r,J(He(e,n),"float32"))}}};var k2={kernelName:fs,inputsToSave:["x"],gradFunc:(r,t,e)=>{let n=t[0],{paddings:o}=e,s=o.map(i=>i[0]);return{x:()=>Dt(r,s,n.shape)}}};var T2={kernelName:_a,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t,o=Pt(e.shape,n.shape);return{a:()=>{let a=ge(e.shape,o);return a.length>0?D(ft(r,a),e.shape):r},b:()=>{let a=R(r,Ut(Fi(pt(e,n)))),u=ge(n.shape,o);return u.length>0?D(ft(a,u),n.shape):a}}}};var E2={kernelName:ds,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t,o=Pt(e.shape,n.shape);return{a:()=>{let a=R(r,J(n,"float32")),u=ge(e.shape,o);return u.length>0?D(ft(a,u),e.shape):a},b:()=>{let a=R(r,J(e,"float32")),u=ge(n.shape,o);return u.length>0?D(ft(a,u),n.shape):a}}}};var _2={kernelName:ui,gradFunc:r=>({x:()=>Ut(r)})};var A2={kernelName:hs,inputsToSave:["indices"],gradFunc:(r,t)=>{let e=t[0];return{indices:()=>Ne(e.shape,"float32")}}};var $2={kernelName:ci,gradFunc:r=>({x:()=>It(r)})};var D2={kernelName:pi,saveAllInputs:!0,gradFunc:(r,t,e)=>{let{axis:n}=e;return vr(r,n).map(s=>()=>s)}};var m0={kernelName:gs,inputsToSave:["x"],gradFunc:(r,t,e)=>{let n=t[0],{paddings:o}=e,s=o.map(i=>i[0]);return{x:()=>Dt(r,s,n.shape)}}};var R2={kernelName:xs,inputsToSave:["a","b"],outputsToSave:[!0],gradFunc:(r,t)=>{let[e,n,o]=t,s=e,i=n,a=Pt(s.shape,i.shape);return{a:()=>{let c=J(i,"float32"),p=R(r,R(c,an(s,ct(c,mt(1))))),m=ge(s.shape,a);return m.length>0&&(p=ft(p,m)),D(p,s.shape)},b:()=>{let c=He(s,0),p=_e(c,Ir(s),It(s)),m=R(r,R(o,p)),f=ge(i.shape,a);return f.length>0&&(m=ft(m,f)),D(m,i.shape)}}}};var F2={kernelName:ys,inputsToSave:["x","alpha"],gradFunc:(r,t)=>{let[e,n]=t,o=He(e,0);return{x:()=>_e(o,r,R(r,n)),alpha:()=>{let s=_e(o,It(r),R(r,e)),i=ge(n.shape,r.shape);return i.length>0&&(s=ft(s,i)),D(s,n.shape)}}}};function c5(r,t,e){let n=r.shape.slice();n[e]=1;let o=D(t,n),s=ju(r,e,!0,!1),i=ju(r,e,!0,!0),a=R(s,i);return R(o,a)}function p5(r,t,e){let n=r.shape.length,o=n-e.length,s=S.getAxesPermutation(e,n),i=r;s!=null&&(i=Ot(r,s));let a=i.shape.slice(),l=a.splice(n-e.length,e.length).reduce((m,f)=>m*f,1);a.push(l);let c=i.reshape(a),p=c5(c,t,o);if(p=p.reshape(i.shape),s!=null){let m=S.getUndoAxesPermutation(s);p=Ot(p,m)}return p}var O2={kernelName:bs,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,{axis:o}=e,s=[];return o==null?s=n.shape.map((i,a)=>a):typeof o=="number"?s=[o]:s=o,{x:()=>p5(n,r,s)}}};var P2={kernelName:Jo,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t,o=Pt(e.shape,n.shape);return{a:()=>{let a=pt(r,J(n,"float32")),u=ge(e.shape,o);return u.length>0?D(ft(a,u),e.shape):a},b:()=>{let a=R(r,J(e,"float32")),u=ge(n.shape,o);u.length>0&&(a=D(ft(a,u),n.shape));let l=Mt(n);return Ut(pt(a,J(l,"float32")))}}}};var L2={kernelName:Fa,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,Ut(Mt(e)))}}};var M2={kernelName:vs,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t,n=R(On(e,6),yo(e));return{x:()=>R(r,J(n,"float32"))}}};var z2={kernelName:ws,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>R(r,J(yo(e),"float32"))}}};var B2={kernelName:mi,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,e.shape)}}};var V2={kernelName:Is,inputsToSave:["images"],gradFunc:(r,t,e)=>{let[n]=t,o={dy:r,images:n};return{images:()=>T.runKernel(Fp,o,e)}}};var G2={kernelName:Cs,inputsToSave:["images"],gradFunc:(r,t,e)=>{let[n]=t,o={dy:r,images:n};return{images:()=>T.runKernel(Rp,o,e)}}};var W2={kernelName:Ss,gradFunc:(r,t,e)=>{let{dims:n}=e,o=ar(n,r.shape);return{x:()=>ur(r,o)}}};var U2={kernelName:Ns,gradFunc:r=>({x:()=>It(r)})};var H2={kernelName:ks,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>Ut(pt(r,R(an(e,1.5),2)))}}};var q2={kernelName:fi,inputsToSave:["condition"],gradFunc:(r,t)=>{let[e]=t;return{condition:()=>J(It(e),"float32"),t:()=>R(r,J(e,r.dtype)),e:()=>R(r,J(Ql(e),r.dtype))}}};var K2={kernelName:Pa,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=He(e,mt(0)),o=mt(a0),s=mt(l0),i=R(r,s),a=R(R(r,o),er(J(e,"float32")));return _e(n,i,a)}}}};var j2={kernelName:Es,outputsToSave:[!0],gradFunc:(r,t)=>{let[e]=t;return{x:()=>R(r,R(e,ct(mt(1),e)))}}};var X2={kernelName:Ma,gradFunc:r=>({x:()=>It(r)})};var Y2={kernelName:Ts,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>R(Yl(J(e,"float32")),r)}}};var Z2={kernelName:La,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>R(em(J(e,"float32")),r)}}};var J2={kernelName:di,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,{begin:o,size:s}=e,i=n.shape,[a,u]=VS(n,o,s),l=[];for(let c=0;cun(r,l)}}};var Q2={kernelName:$s,outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n]=t,{dim:o}=e,s=!0,i=R(r,n);return{logits:()=>ct(i,R(ft(i,[o],s),n))}}};var t$={kernelName:za,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>R(r,Xr(e))}}};var f0={kernelName:hi,gradFunc:(r,t,e)=>{let{blockShape:n,paddings:o}=e;return{x:()=>Xl(r,n,o)}}};var d0={kernelName:gi,gradFunc:(r,t,e)=>{let{axis:n}=e;return{x:()=>ne(r,n)}}};var e$={kernelName:_s,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,R(ve(J(e,"float32")),2))}}};var r$={kernelName:Ll,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>R(r,R(J(e,"float32"),2))}}};var n$={kernelName:Ds,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t,o=mt(2);return{a:()=>R(r,R(o,ct(e,n))),b:()=>R(r,R(o,ct(n,e)))}}};var o$={kernelName:uo,gradFunc:r=>({x:()=>It(r)})};var s$={kernelName:Rs,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t,o=Pt(e.shape,n.shape);return{a:()=>{let a=r,u=ge(e.shape,o);return u.length>0&&(a=ft(a,u)),D(a,e.shape)},b:()=>{let a=r,u=ge(n.shape,o);return u.length>0&&(a=ft(a,u)),D(Ut(a),n.shape)}}}};var i$={kernelName:As,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,o=n.shape.slice(),{axis:s}=e;ar(s,n.shape).forEach(l=>{o[l]=1});let a=D(r,o),u=R(a,lr(n.shape,"float32"));return{x:()=>u}}};var a$={kernelName:Fs,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,Mt(Yl(e)))}}};var l$={kernelName:Os,outputsToSave:[!0],gradFunc:(r,t)=>{let[e]=t;return{x:()=>R(ct(mt(1),Mt(e)),r)}}};var u$={kernelName:Zn,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,{reps:o}=e;return{x:()=>{let i=It(n);if(n.rank===1)for(let a=0;a{let n=e,{perm:o}=n,s=ih(o);return{x:()=>Ot(r,s)}}};var p$={kernelName:xi,gradFunc:(r,t,e)=>{let n=e,{axis:o}=n;return{value:()=>rr(r,o)}}};var m$={kernelName:Vl,inputsToSave:["segmentIds"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>m5(r,e)}}};function m5(r,t){let e=In(t,It(t)),n=Oi(r,e),o=Fn(t,mt(0,"int32")),s=n.rank-o.rank;for(let a=0;a({x:()=>It(r)})};var f5=[dy,yA,bA,wA,CA,IA,vA,SA,NA,kA,TA,EA,AA,DA,RA,FA,OA,PA,LA,MA,zA,BA,GA,VA,UA,HA,qA,KA,jA,XA,P2,YA,ZA,JA,QA,t2,r2,e2,n2,i2,a2,l2,u2,c2,p2,m2,f2,d2,h2,x2,p0,p0,y2,w2,I2,v2,S2,N2,k2,T2,E2,_2,A2,$2,D2,m0,m0,R2,F2,O2,L2,M2,z2,B2,V2,G2,W2,U2,H2,q2,K2,j2,X2,Y2,Z2,J2,Q2,t$,f0,f0,d0,d0,e$,n$,r$,o$,s$,i$,a$,l$,u$,c$,p$,m$,f$];for(let r of f5)c1(r);O().prototype.abs=function(){return this.throwIfDisposed(),Ee(this)};O().prototype.acos=function(){return this.throwIfDisposed(),rx(this)};O().prototype.acosh=function(){return this.throwIfDisposed(),nx(this)};O().prototype.add=function(r){return this.throwIfDisposed(),X(this,r)};O().prototype.all=function(r,t){return this.throwIfDisposed(),Yp(this,r,t)};O().prototype.any=function(r,t){return this.throwIfDisposed(),Hu(this,r,t)};O().prototype.argMax=function(r){return this.throwIfDisposed(),Ei(this,r)};O().prototype.argMin=function(r){return this.throwIfDisposed(),ox(this,r)};O().prototype.asScalar=function(){return this.throwIfDisposed(),E(this.size===1,()=>"The array must have only 1 element."),D(this,[])};O().prototype.asType=function(r){return this.throwIfDisposed(),J(this,r)};O().prototype.as1D=function(){return this.throwIfDisposed(),D(this,[this.size])};O().prototype.as2D=function(r,t){return this.throwIfDisposed(),D(this,[r,t])};O().prototype.as3D=function(r,t,e){return this.throwIfDisposed(),D(this,[r,t,e])};O().prototype.as4D=function(r,t,e,n){return this.throwIfDisposed(),D(this,[r,t,e,n])};O().prototype.as5D=function(r,t,e,n,o){return this.throwIfDisposed(),D(this,[r,t,e,n,o])};O().prototype.asin=function(){return this.throwIfDisposed(),sx(this)};O().prototype.asinh=function(){return this.throwIfDisposed(),ix(this)};O().prototype.atan=function(){return this.throwIfDisposed(),ax(this)};O().prototype.atan2=function(r){return this.throwIfDisposed(),lx(this,r)};O().prototype.atanh=function(){return this.throwIfDisposed(),ux(this)};O().prototype.avgPool=function(r,t,e,n){return this.throwIfDisposed(),jl(this,r,t,e,n)};O().prototype.batchToSpaceND=function(r,t){return this.throwIfDisposed(),Xl(this,r,t)};O().prototype.batchNorm=function(r,t,e,n,o){return this.throwIfDisposed(),Ai(this,r,t,e,n,o)};O().prototype.broadcastTo=function(r){return this.throwIfDisposed(),$i(this,r)};O().prototype.cast=function(r){return this.throwIfDisposed(),J(this,r)};O().prototype.ceil=function(){return this.throwIfDisposed(),gx(this)};O().prototype.clipByValue=function(r,t){return this.throwIfDisposed(),Cr(this,r,t)};O().prototype.concat=function(r,t){return this.throwIfDisposed(),r instanceof Ft&&(r=[r]),ne([this,...r],t)};O().prototype.conv1d=function(r,t,e,n,o,s){return this.throwIfDisposed(),Jp(this,r,t,e,n,o,s)};O().prototype.conv2dTranspose=function(r,t,e,n,o){return this.throwIfDisposed(),tm(this,r,t,e,n,o)};O().prototype.conv2d=function(r,t,e,n,o,s){return this.throwIfDisposed(),Cn(this,r,t,e,n,o,s)};O().prototype.cos=function(){return this.throwIfDisposed(),Yl(this)};O().prototype.cosh=function(){return this.throwIfDisposed(),em(this)};O().prototype.cumprod=function(r,t,e){return this.throwIfDisposed(),ju(this,r,t,e)};O().prototype.cumsum=function(r,t,e){return this.throwIfDisposed(),rm(this,r,t,e)};O().prototype.depthToSpace=function(r,t){return this.throwIfDisposed(),Sx(this,r,t)};O().prototype.depthwiseConv2d=function(r,t,e,n,o,s){return this.throwIfDisposed(),Di(this,r,t,e,n,o,s)};O().prototype.dilation2d=function(r,t,e,n,o){return this.throwIfDisposed(),Nx(this,r,t,e,n,o)};O().prototype.divNoNan=function(r){return this.throwIfDisposed(),kx(this,r)};O().prototype.div=function(r){return this.throwIfDisposed(),pt(this,r)};O().prototype.dot=function(r){return this.throwIfDisposed(),Tx(this,r)};O().prototype.elu=function(){return this.throwIfDisposed(),Ri(this)};O().prototype.equal=function(r){return this.throwIfDisposed(),Ar(this,r)};O().prototype.erf=function(){return this.throwIfDisposed(),Ex(this)};O().prototype.euclideanNorm=function(r,t){return this.throwIfDisposed(),_x(this,r,t)};O().prototype.exp=function(){return this.throwIfDisposed(),er(this)};O().prototype.expandDims=function(r){return this.throwIfDisposed(),gr(this,r)};O().prototype.expm1=function(){return this.throwIfDisposed(),Ax(this)};O().prototype.fft=function(){return this.throwIfDisposed(),su(this)};O().prototype.flatten=function(){return this.throwIfDisposed(),D(this,[this.size])};O().prototype.floor=function(){return this.throwIfDisposed(),Fi(this)};O().prototype.floorDiv=function(r){return this.throwIfDisposed(),Xp(this,r)};O().prototype.gather=function(r,t){return this.throwIfDisposed(),Oi(this,r,t)};O().prototype.greaterEqual=function(r){return this.throwIfDisposed(),Fn(this,r)};O().prototype.greater=function(r){return this.throwIfDisposed(),He(this,r)};O().prototype.ifft=function(){return this.throwIfDisposed(),Za(this)};O().prototype.irfft=function(){return this.throwIfDisposed(),gm(this)};O().prototype.isFinite=function(){return this.throwIfDisposed(),$x(this)};O().prototype.isInf=function(){return this.throwIfDisposed(),Dx(this)};O().prototype.isNaN=function(){return this.throwIfDisposed(),Rx(this)};O().prototype.leakyRelu=function(r){return this.throwIfDisposed(),Zl(this,r)};O().prototype.lessEqual=function(r){return this.throwIfDisposed(),On(this,r)};O().prototype.less=function(r){return this.throwIfDisposed(),nm(this,r)};O().prototype.localResponseNormalization=function(r,t,e,n){return this.throwIfDisposed(),Fx(this,r,t,e,n)};O().prototype.logSigmoid=function(){return this.throwIfDisposed(),Lx(this)};O().prototype.logSoftmax=function(r){return this.throwIfDisposed(),om(this,r)};O().prototype.logSumExp=function(r,t){return this.throwIfDisposed(),sm(this,r,t)};O().prototype.log=function(){return this.throwIfDisposed(),Ir(this)};O().prototype.log1p=function(){return this.throwIfDisposed(),Jl(this)};O().prototype.logicalAnd=function(r){return this.throwIfDisposed(),Dr(this,r)};O().prototype.logicalNot=function(){return this.throwIfDisposed(),Ql(this)};O().prototype.logicalOr=function(r){return this.throwIfDisposed(),im(this,r)};O().prototype.logicalXor=function(r){return this.throwIfDisposed(),Mx(this,r)};O().prototype.matMul=function(r,t,e){return this.throwIfDisposed(),Lt(this,r,t,e)};O().prototype.maxPool=function(r,t,e,n){return this.throwIfDisposed(),tu(this,r,t,e,n)};O().prototype.max=function(r,t){return this.throwIfDisposed(),Br(this,r,t)};O().prototype.maximum=function(r){return this.throwIfDisposed(),In(this,r)};O().prototype.mean=function(r,t){return this.throwIfDisposed(),Se(this,r,t)};O().prototype.min=function(r,t){return this.throwIfDisposed(),Xu(this,r,t)};O().prototype.minimum=function(r){return this.throwIfDisposed(),Pi(this,r)};O().prototype.mirrorPad=function(r,t){return this.throwIfDisposed(),Vx(this,r,t)};O().prototype.mod=function(r){return this.throwIfDisposed(),Gx(this,r)};O().prototype.mul=function(r){return this.throwIfDisposed(),R(this,r)};O().prototype.neg=function(){return this.throwIfDisposed(),Ut(this)};O().prototype.norm=function(r,t,e){return this.throwIfDisposed(),Ya(this,r,t,e)};O().prototype.notEqual=function(r){return this.throwIfDisposed(),zs(this,r)};O().prototype.oneHot=function(r,t=1,e=0){return this.throwIfDisposed(),ki(this,r,t,e)};O().prototype.onesLike=function(){return this.throwIfDisposed(),xr(this)};O().prototype.pad=function(r,t){return this.throwIfDisposed(),un(this,r,t)};O().prototype.pool=function(r,t,e,n,o,s){return this.throwIfDisposed(),Wx(this,r,t,e,n,o,s)};O().prototype.pow=function(r){return this.throwIfDisposed(),an(this,r)};O().prototype.prelu=function(r){return this.throwIfDisposed(),ru(this,r)};O().prototype.prod=function(r,t){return this.throwIfDisposed(),Ux(this,r,t)};O().prototype.reciprocal=function(){return this.throwIfDisposed(),Xx(this)};O().prototype.relu=function(){return this.throwIfDisposed(),Rr(this)};O().prototype.relu6=function(){return this.throwIfDisposed(),am(this)};O().prototype.reshapeAs=function(r){return this.throwIfDisposed(),D(this,r.shape)};O().prototype.reshape=function(r){return this.throwIfDisposed(),D(this,r)};O().prototype.resizeBilinear=function(r,t,e){return this.throwIfDisposed(),py(this,r,t,e)};O().prototype.resizeNearestNeighbor=function(r,t,e){return this.throwIfDisposed(),my(this,r,t,e)};O().prototype.reverse=function(r){return this.throwIfDisposed(),ur(this,r)};O().prototype.rfft=function(){return this.throwIfDisposed(),iu(this)};O().prototype.round=function(){return this.throwIfDisposed(),lm(this)};O().prototype.rsqrt=function(){return this.throwIfDisposed(),um(this)};O().prototype.selu=function(){return this.throwIfDisposed(),cm(this)};O().prototype.separableConv2d=function(r,t,e,n,o,s){return this.throwIfDisposed(),pm(this,r,t,e,n,o,s)};O().prototype.sigmoid=function(){return this.throwIfDisposed(),Xr(this)};O().prototype.sign=function(){return this.throwIfDisposed(),Yx(this)};O().prototype.sin=function(){return this.throwIfDisposed(),mm(this)};O().prototype.sinh=function(){return this.throwIfDisposed(),fm(this)};O().prototype.slice=function(r,t){return this.throwIfDisposed(),Dt(this,r,t)};O().prototype.softmax=function(r){return this.throwIfDisposed(),ou(this,r)};O().prototype.softplus=function(){return this.throwIfDisposed(),Ms(this)};O().prototype.spaceToBatchND=function(r,t){return this.throwIfDisposed(),eu(this,r,t)};O().prototype.split=function(r,t){return this.throwIfDisposed(),cr(this,r,t)};O().prototype.sqrt=function(){return this.throwIfDisposed(),ve(this)};O().prototype.square=function(){return this.throwIfDisposed(),Mt(this)};O().prototype.squaredDifference=function(r){return this.throwIfDisposed(),xm(this,r)};O().prototype.squeeze=function(r){return this.throwIfDisposed(),Pn(this,r)};O().prototype.stack=function(r,t){this.throwIfDisposed();let e=r instanceof Ft?[this,r]:[this,...r];return rr(e,t)};O().prototype.step=function(r){return this.throwIfDisposed(),yo(this,r)};O().prototype.stridedSlice=function(r,t,e,n,o,s,i,a){return this.throwIfDisposed(),Zx(this,r,t,e,n,o,s,i,a)};O().prototype.sub=function(r){return this.throwIfDisposed(),ct(this,r)};O().prototype.sum=function(r,t){return this.throwIfDisposed(),ft(this,r,t)};O().prototype.tan=function(){return this.throwIfDisposed(),Jx(this)};O().prototype.tanh=function(){return this.throwIfDisposed(),_i(this)};O().prototype.tile=function(r){return this.throwIfDisposed(),$r(this,r)};O().prototype.toBool=function(){return this.throwIfDisposed(),J(this,"bool")};O().prototype.toFloat=function(){return this.throwIfDisposed(),J(this,"float32")};O().prototype.toInt=function(){return this.throwIfDisposed(),J(this,"int32")};O().prototype.topk=function(r,t){return this.throwIfDisposed(),Qx(this,r,t)};O().prototype.transpose=function(r){return this.throwIfDisposed(),Ot(this,r)};O().prototype.unique=function(r){return this.throwIfDisposed(),ty(this,r)};O().prototype.unsortedSegmentSum=function(r,t){return this.throwIfDisposed(),bm(this,r,t)};O().prototype.unstack=function(r){return this.throwIfDisposed(),vr(this,r)};O().prototype.where=function(r,t){return this.throwIfDisposed(),_e(r,this,t)};O().prototype.zerosLike=function(){return this.throwIfDisposed(),It(this)};var vn=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,vn.prototype)}},Ur=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,Ur.prototype)}},z=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,z.prototype)}},vt=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,vt.prototype)}},Cm=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,Cm.prototype)}};var mh=class{constructor(t){this.maxEntries=t||100,this.cache=new Map}get(t){let e;return this.cache.has(t)&&(e=this.cache.get(t),this.cache.delete(t),this.cache.set(t,e)),e}put(t,e){if(this.cache.has(t))this.cache.delete(t);else if(this.cache.size>=this.maxEntries){let n=this.cache.keys().next().value;this.cache.delete(n)}this.cache.set(t,e)}getMaxEntries(){return this.maxEntries}setMaxEntries(t){if(t<0)throw new Error(`The maxEntries of LRU caches must be at least 0, but got ${t}.`);if(this.maxEntries>t)for(let e=0;ee.toUpperCase())}var wo={};function Im(r){if(r==null)return null;let t={};return t.className=r.getClassName(),t.config=r.getConfig(),t}function h0(r){if(!(r==null||typeof r!="object"))if(Array.isArray(r))r.forEach(t=>h0(t));else{let t=Object.keys(r);for(let e of t){let n=r[e];n!=null&&typeof n=="object"&&(!Array.isArray(n)&&n.type==="ndarray"&&typeof n.value=="number"?r[e]=n.value:h0(n))}}}function Bi(r,t={},e={},n="object",o=!1){if(typeof r=="string"){let s=r,i;if(s in e)i=e[s];else if(s in wo)i=wo[s];else if(i=t[s],i==null)throw new z(`Unknown ${n}: ${r}. This may be due to one of the following reasons: + ${s.shape}`);let i={data:n,indices:o,segmentIds:s};return k.runKernel(Ml,i)}var xA=T({sparseSegmentSum_:lX});function uX(r,t,e,n,o,s,i,a){let u=I(r,"data","stringNGrams","string");if(u.dtype!=="string")throw new Error("Data must be of datatype string");if(u.shape.length!==1)throw new Error(`Data must be a vector, saw: ${u.shape}`);let l=I(t,"dataSplits","stringNGrams");if(l.dtype!=="int32")throw new Error("Data splits must be of datatype int32");let c={separator:e,nGramWidths:n,leftPad:o,rightPad:s,padWidth:i,preserveShortSequences:a},p={data:u,dataSplits:l},m=k.runKernel(Bl,p,c);return{nGrams:m[0],nGramsSplits:m[1]}}var yA=T({stringNGrams_:uX});function cX(r,t,e=!0){let n=I(r,"input","stringSplit","string"),o=I(t,"delimiter","stringSplit","string");if(n.rank!==1)throw new Error(`Input should be Tensor1D but received shape ${n.shape}`);if(o.rank!==0)throw new Error(`Delimiter should be a scalar but received shape ${o.shape}`);let s={skipEmpty:e},i={input:n,delimiter:o},a=k.runKernel(Vl,i,s);return{indices:a[0],values:a[1],shape:a[2]}}var bA=T({stringSplit_:cX});function pX(r,t){let e=I(r,"input","stringToHashBucketFast","string"),n={numBuckets:t};if(t<=0)throw new Error("Number of buckets must be at least 1");let o={input:e};return k.runKernel(Gl,o,n)}var wA=T({stringToHashBucketFast_:pX});var mX={fft:au,ifft:tl,rfft:lu,irfft:xm},fX={hammingWindow:B_,hannWindow:py,frame:my,stft:V_},Gs={flipLeftRight:W_,grayscaleToRGB:U_,resizeNearestNeighbor:xy,resizeBilinear:gy,rotateWithOffset:H_,cropAndResize:G_,nonMaxSuppression:q_,nonMaxSuppressionAsync:X_,nonMaxSuppressionWithScore:Y_,nonMaxSuppressionWithScoreAsync:Z_,nonMaxSuppressionPadded:J_,nonMaxSuppressionPaddedAsync:Q_,threshold:tA,transform:eA},pv={bandPart:rA,gramSchmidt:nA,qr:sA},dX={absoluteDifference:iA,computeWeightedLoss:Gr,cosineDistance:aA,hingeLoss:lA,huberLoss:uA,logLoss:cA,meanSquaredError:pA,sigmoidCrossEntropy:mA,softmaxCrossEntropy:fA},hX={sparseFillEmptyRows:dA,sparseReshape:hA,sparseSegmentMean:gA,sparseSegmentSum:xA},gX={stringNGrams:yA,stringSplit:bA,stringToHashBucketFast:wA};var Wr=class extends uh{minimize(t,e=!1,n){let{value:o,grads:s}=this.computeGradients(t,n);if(n!=null){let i=n.map(a=>({name:a.name,tensor:s[a.name]}));this.applyGradients(i)}else this.applyGradients(s);return vt(s),e?o:(o.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(t,e){return Bx(t,e)}dispose(){this.iterations_!=null&&vt(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:"iter",tensor:mt(this.iterations_,"int32")}}async getWeights(){throw new Error("getWeights() is not implemented for this optimizer yet.")}async setWeights(t){throw new Error(`setWeights() is not implemented for this optimizer class ${this.getClassName()}`)}async extractIterations(t){return this.iterations_=(await t[0].tensor.data())[0],t.slice(1)}};Object.defineProperty(Wr,Symbol.hasInstance,{value:r=>r.minimize!=null&&r.computeGradients!=null&&r.applyGradients!=null});var cu=class extends Wr{constructor(t,e,n=null){super(),this.learningRate=t,this.rho=e,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],n==null&&(this.epsilon=k.backend.epsilon())}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=k.registeredVariables[n],i=!1;this.accumulatedGrads[o]==null&&(this.accumulatedGrads[o]={originalName:`${n}/accum_grad`,variable:B(()=>It(s).variable(i))}),this.accumulatedUpdates[o]==null&&(this.accumulatedUpdates[o]={originalName:`${n}/accum_var`,variable:B(()=>It(s).variable(i))});let a=Array.isArray(t)?t[o].tensor:t[n];if(a==null)return;let u=this.accumulatedGrads[o].variable,l=this.accumulatedUpdates[o].variable;B(()=>{let c=X(D(u,this.rho),D(Mt(a),1-this.rho)),p=D(pt(Se(X(l,this.epsilon)),Se(X(u,this.epsilon))),a),m=X(D(l,this.rho),D(Mt(p),1-this.rho));u.assign(c),l.assign(m);let f=X(D(p,-this.learningRate),s);s.assign(f)})}),this.incrementIterations()}dispose(){this.accumulatedUpdates!=null&&(vt(this.accumulatedGrads.map(t=>t.variable)),vt(this.accumulatedUpdates.map(t=>t.variable)))}async getWeights(){let t=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(t.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(t){t=await this.extractIterations(t);let e=t.length/2,n=!1;this.accumulatedGrads=t.slice(0,e).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.accumulatedUpdates=t.slice(e,e*2).map(o=>({originalName:o.name,variable:o.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(t,e){return new t(e.learningRate,e.rho,e.epsilon)}};cu.className="Adadelta";Cn(cu);var pu=class extends Wr{constructor(t,e=.1){super(),this.learningRate=t,this.initialAccumulatorValue=e,this.accumulatedGrads=[]}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=k.registeredVariables[n];this.accumulatedGrads[o]==null&&(this.accumulatedGrads[o]={originalName:`${n}/accumulator`,variable:B(()=>xo(s.shape,this.initialAccumulatorValue).variable(!1))});let i=Array.isArray(t)?t[o].tensor:t[n];if(i==null)return;let a=this.accumulatedGrads[o].variable;B(()=>{let u=X(a,Mt(i));a.assign(u);let l=X(D(pt(i,Se(X(u,k.backend.epsilon()))),-this.learningRate),s);s.assign(l)})}),this.incrementIterations()}dispose(){this.accumulatedGrads!=null&&vt(this.accumulatedGrads.map(t=>t.variable))}async getWeights(){return[await this.saveIterations()].concat(this.accumulatedGrads.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(t){t=await this.extractIterations(t);let e=!1;this.accumulatedGrads=t.map(n=>({originalName:n.name,variable:n.tensor.variable(e)}))}getConfig(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}static fromConfig(t,e){return new t(e.learningRate,e.initialAccumulatorValue)}};pu.className="Adagrad";Cn(pu);var mu=class extends Wr{constructor(t,e,n,o=null){super(),this.learningRate=t,this.beta1=e,this.beta2=n,this.epsilon=o,this.accumulatedFirstMoment=[],this.accumulatedSecondMoment=[],B(()=>{this.accBeta1=mt(e).variable(),this.accBeta2=mt(n).variable()}),o==null&&(this.epsilon=k.backend.epsilon())}applyGradients(t){let e=Array.isArray(t)?t.map(n=>n.name):Object.keys(t);B(()=>{let n=ct(1,this.accBeta1),o=ct(1,this.accBeta2);e.forEach((s,i)=>{let a=k.registeredVariables[s],u=!1;this.accumulatedFirstMoment[i]==null&&(this.accumulatedFirstMoment[i]={originalName:`${s}/m`,variable:B(()=>It(a).variable(u))}),this.accumulatedSecondMoment[i]==null&&(this.accumulatedSecondMoment[i]={originalName:`${s}/v`,variable:B(()=>It(a).variable(u))});let l=Array.isArray(t)?t[i].tensor:t[s];if(l==null)return;let c=this.accumulatedFirstMoment[i].variable,p=this.accumulatedSecondMoment[i].variable,m=X(D(c,this.beta1),D(l,1-this.beta1)),f=X(D(p,this.beta2),D(Mt(l),1-this.beta2)),d=pt(m,n),h=pt(f,o);c.assign(m),p.assign(f);let g=X(D(pt(d,X(Se(h),this.epsilon)),-this.learningRate),a);a.assign(g)}),this.accBeta1.assign(D(this.accBeta1,this.beta1)),this.accBeta2.assign(D(this.accBeta2,this.beta2))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.accBeta2.dispose(),this.accumulatedFirstMoment!=null&&vt(this.accumulatedFirstMoment.map(t=>t.variable)),this.accumulatedSecondMoment!=null&&vt(this.accumulatedSecondMoment.map(t=>t.variable))}async getWeights(){let t=[...this.accumulatedFirstMoment,...this.accumulatedSecondMoment];return[await this.saveIterations()].concat(t.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(t){t=await this.extractIterations(t),B(()=>{this.accBeta1.assign(an(this.beta1,this.iterations_+1)),this.accBeta2.assign(an(this.beta2,this.iterations_+1))});let e=t.length/2,n=!1;this.accumulatedFirstMoment=t.slice(0,e).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.accumulatedSecondMoment=t.slice(e,e*2).map(o=>({originalName:o.name,variable:o.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}static fromConfig(t,e){return new t(e.learningRate,e.beta1,e.beta2,e.epsilon)}};mu.className="Adam";Cn(mu);var fu=class extends Wr{constructor(t,e,n,o=null,s=0){super(),this.learningRate=t,this.beta1=e,this.beta2=n,this.epsilon=o,this.decay=s,this.accumulatedFirstMoment=[],this.accumulatedWeightedInfNorm=[],B(()=>{this.iteration=mt(0).variable(),this.accBeta1=mt(e).variable()}),o==null&&(this.epsilon=k.backend.epsilon())}applyGradients(t){let e=Array.isArray(t)?t.map(n=>n.name):Object.keys(t);B(()=>{let n=ct(1,this.accBeta1),o=pt(-this.learningRate,X(D(this.iteration,this.decay),1));e.forEach((s,i)=>{let a=k.registeredVariables[s],u=!1;this.accumulatedFirstMoment[i]==null&&(this.accumulatedFirstMoment[i]={originalName:`${s}/m`,variable:It(a).variable(u)}),this.accumulatedWeightedInfNorm[i]==null&&(this.accumulatedWeightedInfNorm[i]={originalName:`${s}/v`,variable:It(a).variable(u)});let l=Array.isArray(t)?t[i].tensor:t[s];if(l==null)return;let c=this.accumulatedFirstMoment[i].variable,p=this.accumulatedWeightedInfNorm[i].variable,m=X(D(c,this.beta1),D(l,1-this.beta1)),f=D(p,this.beta2),d=Ee(l),h=Sn(f,d);c.assign(m),p.assign(h);let g=X(D(pt(o,n),pt(m,X(h,this.epsilon))),a);a.assign(g)}),this.iteration.assign(X(this.iteration,1)),this.accBeta1.assign(D(this.accBeta1,this.beta1))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.iteration.dispose(),this.accumulatedFirstMoment!=null&&vt(this.accumulatedFirstMoment.map(t=>t.variable)),this.accumulatedWeightedInfNorm!=null&&vt(this.accumulatedWeightedInfNorm.map(t=>t.variable))}async getWeights(){throw new Error("getWeights() is not implemented for Adamax yet.")}async setWeights(t){throw new Error("setWeights() is not implemented for Adamax yet.")}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}static fromConfig(t,e){return new t(e.learningRate,e.beta1,e.beta2,e.epsilon,e.decay)}};fu.className="Adamax";Cn(fu);var Bi=class extends Wr{constructor(t){super(),this.learningRate=t,this.setLearningRate(t)}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=Array.isArray(t)?t[o].tensor:t[n];if(s==null)return;let i=k.registeredVariables[n];B(()=>{let a=X(D(this.c,s),i);i.assign(a)})}),this.incrementIterations()}setLearningRate(t){this.learningRate=t,this.c!=null&&this.c.dispose(),this.c=De(mt(-t))}dispose(){this.c.dispose()}async getWeights(){return[await this.saveIterations()]}async setWeights(t){if(t=await this.extractIterations(t),t.length!==0)throw new Error("SGD optimizer does not have settable weights.")}getConfig(){return{learningRate:this.learningRate}}static fromConfig(t,e){return new t(e.learningRate)}};Bi.className="SGD";Cn(Bi);var du=class extends Bi{constructor(t,e,n=!1){super(t),this.learningRate=t,this.momentum=e,this.useNesterov=n,this.accumulations=[],this.m=mt(this.momentum)}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=k.registeredVariables[n];this.accumulations[o]==null&&(this.accumulations[o]={originalName:`${n}/momentum`,variable:B(()=>It(s).variable(!1))});let i=this.accumulations[o].variable,a=Array.isArray(t)?t[o].tensor:t[n];a!=null&&B(()=>{let u,l=X(D(this.m,i),a);this.useNesterov?u=X(D(this.c,X(a,D(l,this.m))),s):u=X(D(this.c,l),s),i.assign(l),s.assign(u)})}),this.incrementIterations()}dispose(){this.m.dispose(),this.accumulations!=null&&vt(this.accumulations.map(t=>t.variable))}setMomentum(t){this.momentum=t}async getWeights(){return[await this.saveIterations()].concat(this.accumulations.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(t){t=await this.extractIterations(t);let e=!1;this.accumulations=t.map(n=>({originalName:n.name,variable:n.tensor.variable(e)}))}getConfig(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}static fromConfig(t,e){return new t(e.learningRate,e.momentum,e.useNesterov)}};du.className="Momentum";Cn(du);var hu=class extends Wr{constructor(t,e=.9,n=0,o=null,s=!1){if(super(),this.learningRate=t,this.decay=e,this.momentum=n,this.epsilon=o,this.accumulatedMeanSquares=[],this.accumulatedMoments=[],this.accumulatedMeanGrads=[],this.centered=s,o==null&&(this.epsilon=k.backend.epsilon()),t==null)throw new Error("learningRate for RMSPropOptimizer must be defined.")}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=k.registeredVariables[n],i=!1;this.accumulatedMeanSquares[o]==null&&(this.accumulatedMeanSquares[o]={originalName:`${n}/rms`,variable:B(()=>It(s).variable(i))}),this.accumulatedMoments[o]==null&&(this.accumulatedMoments[o]={originalName:`${n}/momentum`,variable:B(()=>It(s).variable(i))}),this.accumulatedMeanGrads[o]==null&&this.centered&&(this.accumulatedMeanGrads[o]={originalName:`${n}/mg`,variable:B(()=>It(s).variable(i))});let a=Array.isArray(t)?t[o].tensor:t[n];if(a==null)return;let u=this.accumulatedMeanSquares[o].variable,l=this.accumulatedMoments[o].variable;B(()=>{let c=X(D(u,this.decay),D(Mt(a),1-this.decay));if(this.centered){let p=this.accumulatedMeanGrads[o].variable,m=X(D(p,this.decay),D(a,1-this.decay)),f=pt(D(a,this.learningRate),Se(ct(c,X(Mt(m),this.epsilon)))),d=X(D(l,this.momentum),f);u.assign(c),p.assign(m),l.assign(d);let h=ct(s,d);s.assign(h)}else{let p=X(D(u,this.decay),D(Mt(a),1-this.decay)),m=X(D(l,this.momentum),pt(D(a,this.learningRate),Se(X(p,this.epsilon))));u.assign(p),l.assign(m);let f=ct(s,m);s.assign(f)}})}),this.incrementIterations()}dispose(){this.accumulatedMeanSquares!=null&&vt(this.accumulatedMeanSquares.map(t=>t.variable)),this.accumulatedMeanGrads!=null&&this.centered&&vt(this.accumulatedMeanGrads.map(t=>t.variable)),this.accumulatedMoments!=null&&vt(this.accumulatedMoments.map(t=>t.variable))}async getWeights(){let t=[...this.accumulatedMeanSquares,...this.accumulatedMoments];return this.centered&&t.push(...this.accumulatedMeanGrads),[await this.saveIterations()].concat(t.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(t){t=await this.extractIterations(t);let e=this.centered?t.length/3:t.length/2,n=!1;this.accumulatedMeanSquares=t.slice(0,e).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.accumulatedMoments=t.slice(e,e*2).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.centered&&(this.accumulatedMeanGrads=t.slice(e*2,e*3).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})))}getConfig(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}}static fromConfig(t,e){return new t(e.learningRate,e.decay,e.momentum,e.epsilon,e.centered)}};hu.className="RMSProp";Cn(hu);var Ws=class{static sgd(t){return new Bi(t)}static momentum(t,e,n=!1){return new du(t,e,n)}static rmsprop(t,e=.9,n=0,o=null,s=!1){return new hu(t,e,n,o,s)}static adam(t=.001,e=.9,n=.999,o=null){return new mu(t,e,n,o)}static adadelta(t=.001,e=.95,n=null){return new cu(t,e,n)}static adamax(t=.002,e=.9,n=.999,o=null,s=0){return new fu(t,e,n,o,s)}static adagrad(t,e=.1){return new pu(t,e)}};var ic={sgd:Ws.sgd,momentum:Ws.momentum,adadelta:Ws.adadelta,adagrad:Ws.adagrad,rmsprop:Ws.rmsprop,adamax:Ws.adamax,adam:Ws.adam};var xX=(()=>typeof requestAnimationFrame!="undefined"?requestAnimationFrame:typeof setImmediate!="undefined"?setImmediate:r=>r())();function gh(){return new Promise(r=>xX(()=>r()))}var v={};Wt(v,{ERF_A1:()=>DX,ERF_A2:()=>RX,ERF_A3:()=>FX,ERF_A4:()=>OX,ERF_A5:()=>PX,ERF_P:()=>$X,PARALLELIZE_THRESHOLD:()=>yy,RowPartitionType:()=>Vi,SELU_SCALE:()=>fv,SELU_SCALEALPHA:()=>mv,applyActivation:()=>oc,assertAndGetBroadcastShape:()=>Pt,assertAxesAreInnerMostDims:()=>Uq,assertParamsConsistent:()=>yX,assignToTypedArray:()=>GX,axesAreInnerMostDims:()=>J0,calculateShapes:()=>IE,checkEinsumDimSizes:()=>jX,checkPadOnDimRoundingMode:()=>Ie,combineLocations:()=>HE,combineRaggedTensorToTensorShapes:()=>wX,complexWithEvenIndex:()=>zX,complexWithOddIndex:()=>BX,computeConv2DInfo:()=>ju,computeConv3DInfo:()=>ME,computeDefaultPad:()=>Z0,computeDilation2DInfo:()=>qH,computeOptimalWindowSize:()=>vX,computeOutAndReduceShapes:()=>Q0,computeOutShape:()=>bX,computePool2DInfo:()=>Y0,computePool3DInfo:()=>KH,convertConv2DDataFormat:()=>zE,decodeEinsumEquation:()=>qX,eitherStridesOrDilationsAreOne:()=>Ar,expandShapeToKeepDim:()=>yo,exponent:()=>UX,exponents:()=>WX,fromStringArrayToUint8:()=>h5,fromUint8ToStringArray:()=>d5,getAxesPermutation:()=>tv,getBroadcastDims:()=>bE,getComplexWithIndex:()=>VX,getEinsumComputePath:()=>XX,getEinsumPermutation:()=>KX,getFusedBiasGradient:()=>nc,getFusedDyActivation:()=>rc,getImageCenter:()=>NX,getInnerMostAxes:()=>Hq,getPermuted:()=>kX,getRaggedRank:()=>IX,getReductionAxes:()=>ge,getReshaped:()=>TX,getReshapedPermuted:()=>EX,getRowPartitionTypesHelper:()=>CX,getSliceBeginCoords:()=>_X,getSliceSize:()=>AX,getSparseFillEmptyRowsIndicesDenseShapeMismatch:()=>QX,getSparseFillEmptyRowsNegativeIndexErrorMessage:()=>t5,getSparseFillEmptyRowsOutOfRangeIndexErrorMessage:()=>e5,getSparseReshapeEmptyTensorZeroOutputDimErrorMessage:()=>o5,getSparseReshapeInputOutputMismatchErrorMessage:()=>i5,getSparseReshapeInputOutputMultipleErrorMessage:()=>s5,getSparseReshapeMultipleNegativeOneOutputDimErrorMessage:()=>r5,getSparseReshapeNegativeOutputDimErrorMessage:()=>n5,getSparseSegmentReductionIndicesOutOfRangeErrorMessage:()=>c5,getSparseSegmentReductionNegativeSegmentIdsErrorMessage:()=>a5,getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage:()=>l5,getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage:()=>u5,getUndoAxesPermutation:()=>ph,isIdentityPermutation:()=>YX,log:()=>n4,mergeRealAndImagArrays:()=>LX,prepareAndValidate:()=>CE,prepareSplitSize:()=>JX,segment_util:()=>hv,shouldFuse:()=>sc,slice_util:()=>Le,splitRealAndImagArrays:()=>MX,tupleValuesAreOne:()=>to,upcastType:()=>sr,validateDefaultValueShape:()=>SX,validateInput:()=>sx,validateUpdateShape:()=>U0,warn:()=>vi});function yX(r,t){let e=r[0].length;r.forEach((o,s)=>{E(o.length===e,()=>`Error in concat${e}D: rank of tensors[${s}] must be the same as the rank of the rest (${e})`)}),E(t>=0&&t`Error in concat${e}D: axis must be between 0 and ${e-1}.`);let n=r[0];r.forEach((o,s)=>{for(let i=0;i`Error in concat${e}D: Shape of tensors[${s}] (${o}) does not match the shape of the rest (${n}) along the non-concatenated axis ${s}.`)})}function bX(r,t){let e=r[0].slice();for(let n=1;n=0)if(a>=0){if(a!==s)throw new Error(`rt input.shape and shape=${t} are incompatible: rt input.shape[${o+r}] = ${s} but shape[${o+r}] = ${a}`)}else n[i]=s}return n}function CX(r){let t={FIRST_DIM_SIZE:Vi.FIRST_DIM_SIZE,VALUE_ROWIDS:Vi.VALUE_ROWIDS,ROW_LENGTHS:Vi.ROW_LENGTHS,ROW_SPLITS:Vi.ROW_SPLITS,ROW_LIMITS:Vi.ROW_LIMITS,ROW_STARTS:Vi.ROW_STARTS},e=[];for(let n of r)if(n in t)e.push(t[n]);else break;return e}function IX(r){return r.length===0?0:r[0]===Vi.FIRST_DIM_SIZE?r.length-1:r.length}function SX(r,t){if(r==null||t==null)return;let e=r.length,n=t.length;if(e>=n)throw new Error(`defaultValue.shape=${r} and ragged tensor flatValues.shape=${t}, are incompatible: defaultValue.rank = ${e} must be less than ragged tensor input flatValues.rank = ${n})`);for(let o=0;o=0&&i>=0&&s!==1&&s!==i)throw new Error(`defaultValue.shape=${r}, and ragged tensor input flatValues.shape=${t} are incompatible: defaultValue.shape[${o-r.length}] = ${s} but ragged tensor input.flatValues.shape[${o-r.length}] = ${i}`)}}var yy=30;function vX(r){return r<=yy?r:sp(r,Math.floor(Math.sqrt(r)))}function NX(r,t,e){let n=e*(typeof r=="number"?r:r[0]),o=t*(typeof r=="number"?r:r[1]);return[n,o]}function TX(r,t,e,n=!0){let o=[];if(n)o=o.concat(t.slice(0)),o.push(r[0]/e),o=o.concat(r.slice(1));else{o=o.concat(r[0]);let s=t.length;for(let i=0;i=t*2+1||i%2===1?s.push(i):o.push(i);n.push(...o),n.push(0),n.push(...s)}return n}function EX(r,t,e,n=!0){let o=[];n?o.push(r[0]/e):o.push(r[0]*e);for(let s=1;s/g,CA=",",IA="...";function qX(r,t){r=r.replace(/\s/g,"");let e=(r.length-r.replace(HX,"").length)/dv.length;if(e<1)throw new Error("Equations without an arrow are not supported.");if(e>1)throw new Error(`Equation must contain exactly one arrow ("${dv}").`);let[n,o]=r.split(dv);E(n.indexOf(IA)===-1,()=>`The ellipsis notation ("${IA}") is not supported yet.`);let s=n.split(CA),i=s.length;if(t!==i)throw new Error(`Expected ${i} input tensors, received ${t}`);if(i>2)throw new Error("Support for more than 2 input tensors is not implemented yet.");let a=[];for(let m=0;md.indexOf(f)!==-1))throw new Error(`Output subscripts contain the label ${f} not present in the input subscripts.`);a.indexOf(f)===-1&&a.push(f)}for(let m=0;mo!==-1),{permutationIndices:e,expandDims:n}}function jX(r,t,e){let n=new Array(r);for(let o=0;o`Expected dimension ${n[t[o][i]]} at axis ${i} of input shaped ${JSON.stringify(s)}, but got dimension ${s[i]}`)}}function XX(r,t){let e=r,n=[],o=0;r.length===0&&e.push(-1),o=r.length+1;for(let i=0;it===e)}function ZX(r,t){let e=[];for(let n=0;n"Number of splits must evenly divide the axis."),n=new Array(t).fill(r.shape[e]/t);else{let o=t.reduce((i,a)=>(a===-1&&(i+=1),i),0);E(o<=1,()=>"There should be only one negative value in split array.");let s=t.indexOf(-1);if(s!==-1){let i=t.reduce((a,u)=>u>0?a+u:a);t[s]=r.shape[e]-i}E(r.shape[e]===t.reduce((i,a)=>i+a),()=>"The sum of sizes must match the size of the axis dimension."),n=t}return n}function QX(r){return`Received SparseTensor with denseShape[0] = 0 but + indices.shape[0] = ${r}`}function t5(r,t){return`indices(${r}, 0) is invalid: ${t} < 0`}function e5(r,t,e){return`indices(${r}, 0) is invalid: ${t} >= ${e}`}function r5(r,t){return`only one output dimension may be -1, not both ${r} and ${t}`}function n5(r,t){return`size ${r} must be non-negative, not ${t}`}function o5(){return"reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero"}function s5(r,t){let e=Jt(r),n=Jt(t);return`Input to reshape is a SparseTensor with ${e} + dense values, but the requested shape requires a multiple of ${n}. inputShape=${r} outputShape= ${t}`}function i5(r,t){let e=Jt(r),n=Jt(t);return`Input to reshape is a tensor with ${e} dense values, but the requested shape has ${n}. inputShape=${r} outputShape=${t}`}function a5(){return"segment ids must be >= 0"}function l5(){return"segment ids are not increasing"}function u5(r,t){return`Segment id ${r} out of range [0, ${t}), possibly because segmentIds input is not sorted.`}function c5(r,t,e){return`Bad: indices[${r}] == ${t} out of range [0, ${e})`}var hv={};Wt(hv,{collectGatherOpShapeInfo:()=>f5,computeOutShape:()=>m5,segOpComputeOptimalWindowSize:()=>p5});function p5(r,t){let e=!1,n;for(r<=yy?(n=r,e=!0):n=sp(r,Math.floor(Math.sqrt(r)));!e;)n>t||n===r?e=!0:n=sp(r,n+1);return n}function m5(r,t,e){let n=[],o=r.length;for(let s=0;so))throw new Error(`Expect batchDims in the range of [-${o}, ${o}], but got ${n}`);if(n<0&&(n+=o),n>s)throw new Error(`batchDims (${n}) must be less than rank(x) ( + ${s}).`);if(eWp(t))}catch(t){throw new Error(`Failed to decode encoded string bytes into utf-8, error: ${t}`)}}function h5(r){return r.map(t=>Hl(t))}var Ur={};Wt(Ur,{nonMaxSuppressionV3Impl:()=>fy,nonMaxSuppressionV4Impl:()=>dy,nonMaxSuppressionV5Impl:()=>hy,whereImpl:()=>ay});var by={kernelName:ii,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,bo(J(e,"float32"),-1))}}};var SA={kernelName:oa,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=Mt(J(e,"float32")),o=Se(ct(mt(1),n));return Ht(pt(r,o))}}}};var vA={kernelName:sa,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=Se(ct(Mt(J(e,"float32")),1));return pt(r,n)}}}};var NA={kernelName:Zn,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t,o=Pt(e.shape,n.shape);return{a:()=>{let a=r,u=ge(e.shape,o);return u.length>0&&(a=ft(a,u)),R(a,e.shape)},b:()=>{let a=r,u=ge(n.shape,o);return u.length>0&&(a=ft(a,u)),R(a,n.shape)}}}};var TA={kernelName:Go,saveAllInputs:!0,gradFunc:(r,t)=>{let e={};return t.forEach((n,o)=>{e[o]=()=>r.clone()}),e}};var kA={kernelName:Wo,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>It(e)}}};var EA={kernelName:kl,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>It(e)}}};var _A={kernelName:la,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,Se(ct(mt(1),Mt(J(e,"float32")))))}}};var AA={kernelName:ua,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=Se(X(mt(1),Mt(J(e,"float32"))));return pt(r,n)}}}};var $A={kernelName:ma,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t,o=Pt(e.shape,n.shape);return{a:()=>{let a=X(Mt(e),Mt(n)),u=D(r,pt(n,a)),l=ge(e.shape,o);return l.length>0&&(u=ft(u,l)),R(u,e.shape)},b:()=>{let a=X(Mt(e),Mt(n)),u=Ht(D(r,pt(e,a))),l=ge(n.shape,o);return l.length>0&&(u=ft(u,l)),R(u,n.shape)}}}};var DA={kernelName:ca,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,X(Mt(J(e,"float32")),1))}}};var RA={kernelName:pa,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,ct(mt(1),Mt(J(e,"float32"))))}}};function g5(r,t,e,n,o,s){let i=I(r,"dy","avgPool3dGrad"),a=I(t,"input","avgPool3dGrad"),u=i,l=a,c=!1;a.rank===4&&(c=!0,u=R(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]]),l=R(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]])),E(u.rank===5,()=>`Error in avgPool3dGrad: dy must be rank 5 but got rank ${u.rank}.`),E(l.rank===5,()=>`Error in avgPool3dGrad: input must be rank 5 but got rank ${l.rank}.`),Ie("avgPool3dGrad",o,s);let p={dy:u,input:l},m={filterSize:e,strides:n,pad:o,dimRoundingMode:s},f=k.runKernel(lp,p,m);return c?R(f,[f.shape[1],f.shape[2],f.shape[3],f.shape[4]]):f}var FA=T({avgPool3dGrad_:g5});var OA={kernelName:El,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,{filterSize:o,strides:s,pad:i,dimRoundingMode:a}=e;return{x:()=>FA(r,n,o,s,i,a)}}};function x5(r,t,e,n,o){let s=I(r,"dy","avgPoolGrad"),i=I(t,"input","avgPoolGrad");E(i.rank===s.rank,()=>`Rank of input (${i.rank}) does not match rank of dy (${s.rank})`);let a=i,u=s,l=!1;i.rank===3&&(l=!0,a=R(i,[1,i.shape[0],i.shape[1],i.shape[2]]),u=R(s,[1,s.shape[0],s.shape[1],s.shape[2]])),E(u.rank===4,()=>`Error in avgPoolGrad: dy must be rank 4 but got rank ${u.rank}.`),E(a.rank===4,()=>`Error in avgPoolGrad: input must be rank 4 but got rank ${a.rank}.`);let c={dy:u,input:a},p={filterSize:e,strides:n,pad:o},m=k.runKernel(ap,c,p);return l?R(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var PA=T({avgPoolGrad_:x5});var LA={kernelName:Uo,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,{filterSize:o,strides:s,pad:i}=e;return{x:()=>PA(r,n,o,s,i)}}};var MA={kernelName:Ho,inputsToSave:["a","b"],gradFunc:(r,t,e)=>{let[n,o]=t,{transposeA:s,transposeB:i}=e;return!s&&!i?{a:()=>Lt(r,o,!1,!0),b:()=>Lt(n,r,!0,!1)}:!s&&i?{a:()=>Lt(r,o,!1,!1),b:()=>Lt(r,n,!0,!1)}:s&&!i?{a:()=>Lt(o,r,!1,!0),b:()=>Lt(n,r,!1,!1)}:{a:()=>Lt(o,r,!0,!0),b:()=>Lt(r,n,!0,!0)}}};var zA={kernelName:ai,gradFunc:(r,t,e)=>{let{blockShape:n,crops:o}=e;return{x:()=>nu(r,n,o)}}};var BA={kernelName:p1,gradFunc:(r,t,e)=>{let n=e,o=n.inputShape,s=n.shape,i=Array.from(s);for(let u=o.length-1;u>=0;u--)if(o[u]===s[u])i[u]=1;else if(o[u]!==1)throw new Error(`broadcastTo(): [${o}] cannot be broadcast to [${s}].`);let a=[];for(let u=0;u1&&a.push(u);return{x:()=>ft(r,a,!0)}}};var VA={kernelName:lo,gradFunc:r=>({x:()=>r.clone()})};var GA={kernelName:qo,gradFunc:r=>({x:()=>It(r)})};var WA={kernelName:uo,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,{clipValueMin:o,clipValueMax:s}=e;return{x:()=>_e(Rr(ln(n,o),Ln(n,s)),r,It(r))}}};var UA={kernelName:_l,inputsToSave:["x"],gradFunc:by.gradFunc};var HA={kernelName:li,saveAllInputs:!0,gradFunc:(r,t,e)=>{let n=t.map(u=>u.shape),{axis:o}=e,s=lr(o,t[0].shape)[0],i=n.map(u=>u[s]);return mr(r,i,s).map(u=>()=>u)}};var qA={kernelName:Ko,inputsToSave:["x","filter"],gradFunc:(r,t,e)=>{let[n,o]=t,{dilations:s,strides:i,pad:a,dataFormat:u}=e;return E(to(s),()=>`Error in gradient of conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`),{x:()=>tm(n.shape,r,o,i,a,u),filter:()=>Cm(n,r,o.shape,i,a,u)}}};var KA={kernelName:jo,inputsToSave:["dy","filter"],gradFunc:(r,t,e)=>{let[n,o]=t,{strides:s,pad:i,dataFormat:a,dimRoundingMode:u}=e;return{dy:()=>In(r,o,s,i,a,1,u),filter:()=>Cm(r,n,o.shape,s,i,a,u)}}};function y5(r,t,e,n,o){let s=r;r.rank===4&&(s=R(r,[1,r.shape[0],r.shape[1],r.shape[2],r.shape[3]]));let i=t;i.rank===4&&(i=R(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]])),E(s.rank===5,()=>`Error in conv3dDerFilter: input must be rank 5, but got shape ${s.shape}.`),E(i.rank===5,()=>`Error in conv3dDerFilter: dy must be rank 5, but got shape ${i.shape}.`),E(e.length===5,()=>`Error in conv3dDerFilter: filterShape must be length 5, but got ${e}.`),E(s.shape[4]===e[3],()=>`Error in conv3dDerFilter: depth of input ${s.shape[4]}) must match input depth in filter (${e[3]}.`),E(i.shape[4]===e[4],()=>`Error in conv3dDerFilter: depth of dy (${i.shape[4]}) must match output depth for filter (${e[4]}).`);let a={x:s,dy:i},u={strides:n,pad:o,filterShape:e};return k.runKernel(fp,a,u)}var jA=T({conv3DBackpropFilter_:y5});var XA={kernelName:Al,inputsToSave:["x","filter"],gradFunc:(r,t,e)=>{let{dilations:n,strides:o,pad:s}=e;E(to(n),()=>`Error in gradient of conv3D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${n}'`);let[i,a]=t;return{x:()=>kx(i.shape,r,a,o,s),filter:()=>jA(i,r,a.shape,o,s)}}};var YA={kernelName:Xo,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(Ht(fm(J(e,"float32"))),r)}}};var ZA={kernelName:Yo,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(dm(J(e,"float32")),r)}}};var JA={kernelName:Zo,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,{axis:o,exclusive:s,reverse:i}=e;return{x:()=>{let a=tv([o],n.rank),u=nm(r,o,s,!i);return a!=null&&(u=Ot(u,a)),u}}}};var QA={kernelName:Jo,inputsToSave:["x","filter"],gradFunc:(r,t,e)=>{let{dilations:n,strides:o,pad:s,dimRoundingMode:i}=e,a=n==null?[1,1]:n;E(to(a),()=>`Error in gradient of depthwiseConv2dNative: dilation rates greater than 1 are not yet supported. Got dilations '${a}'`);let[u,l]=t;return E(u.rank===4,()=>`Error in gradient of depthwiseConv2dNative: input must be rank 4, but got rank ${u.rank}.`),E(l.rank===4,()=>`Error in gradient of depthwiseConv2dNative: filter must be rank 4, but got rank ${l.rank}.`),E(u.shape[3]===l.shape[2],()=>`Error in gradient of depthwiseConv2d: number of input channels (${u.shape[3]}) must match the inChannels dimension in filter ${l.shape[2]}.`),E(Ar(o,a),()=>`Error in gradient of depthwiseConv2d: Either strides or dilations must be 1. Got strides ${o} and dilations '${a}'.`),Ie("depthwiseConv2d",s,i),{x:()=>cy(u.shape,r,l,o,s,a,i),filter:()=>uy(u,r,l.shape,o,s,a,i)}}};var t2={kernelName:$l,inputsToSave:["x","filter"],gradFunc:(r,t,e)=>{let[n,o]=t,s={x:n,filter:o,dy:r},i={x:n,filter:o,dy:r};return{x:()=>k.runKernel(jd,s,e),filter:()=>k.runKernel(Xd,i,e)}}};var e2={kernelName:ts,outputsToSave:[!0],gradFunc:(r,t)=>{let[e]=t,n={dy:r,y:e};return{x:()=>k.runKernel(wp,n)}}};var r2={kernelName:ga,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t,n=D(er(Ht(Mt(e))),2/Math.sqrt(Math.PI));return{x:()=>D(r,n)}}};var n2={kernelName:es,outputsToSave:[!0],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,e)}}};var o2={kernelName:ui,inputsToSave:["input"],gradFunc:(r,t)=>{let[e]=t;return{input:()=>R(r,e.shape)}}};var s2={kernelName:ya,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,er(e))}}};var i2={kernelName:rs,gradFunc:r=>({x:()=>It(r)})};var a2={kernelName:ns,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t,o=Pt(e.shape,n.shape);return{a:()=>{let a=pt(r,J(n,"float32")),u=ge(e.shape,o);return u.length>0?R(ft(a,u),e.shape):a},b:()=>{let a=D(r,J(e,"float32")),u=ge(n.shape,o);u.length>0&&(a=R(ft(a,u),n.shape));let l=Mt(n);return Ht(pt(a,J(l,"float32")))}}}};var l2={kernelName:os,inputsToSave:["x","mean","variance","scale"],gradFunc:(r,t,e)=>{let{varianceEpsilon:n}=e,[o,s,i,a]=t,u=a==null?mt(1):a,l=ge(s.shape,o.shape),c=[];if(s.rank===1){for(let C=0;Cs.rank===1?R(D(D(r,Dr(R(f,[1,1,1,s.shape[0]]),c)),u),o.shape):R(D(D(r,f),u),o.shape),mean:()=>{let C=D(D(f,mt(-1)),m);return s.rank===1&&(C=ft(C,l)),R(C,s.shape)},variance:()=>{let C=D(D(d,p),m);return s.rank===1&&(C=ft(C,l)),R(C,s.shape)},scale:()=>{let C=D(p,f),N=D(r,C);return s.rank===1&&(N=ft(N,l)),R(N,s.shape)},offset:()=>{let C=r;return s.rank===1&&(C=ft(C,l)),R(C,s.shape)}}}};var p2={kernelName:ci,inputsToSave:["x","indices"],gradFunc:(r,t,e)=>{let[n,o]=t,{axis:s}=e,i=lr(s,n.shape)[0];return{x:()=>{let u=n.shape,l=o.size,c=u.slice(0,i),p=c.length,m=u.slice(s,u.length).slice(1),f=m.length,d=u2(0,p),h=u2(p+1,p+1+f),g=c2([c,[l],m]),x=R(r,g),b=R(o,[l]),w=c2([[p],d,h]),C=Ot(x,w),N=wm(C,b,n.shape[i]),_=ph(w);return N=Ot(N,_),N},indices:()=>o}}};function u2(r,t){let e=[];for(let n=r;n{let[e,n]=t;return{a:()=>It(e),b:()=>It(n)}}};var f2={kernelName:co,gradFunc:r=>({x:()=>J(r,"float32")})};var d2={kernelName:Ia,gradFunc:r=>({x:()=>It(r)})};var h2={kernelName:Sa,gradFunc:r=>({x:()=>It(r)})};var g2={kernelName:va,gradFunc:r=>({x:()=>It(r)})};var x2={kernelName:is,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,{alpha:o}=e,s=Re(n,0);return{x:()=>_e(s,r,D(r,o))}}};var y2={kernelName:ka,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,X(e,1))}}};var b2={kernelName:as,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,J(e,"float32"))}}};var w2={kernelName:f1,inputsToSave:[],outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n]=t,{axis:o}=e;return{logits:()=>{let i=er(n);return ct(r,D(ft(r,o,!0),i))}}}};function b5(r,t,e,n=5,o=1,s=1,i=.5){let a={x:r,y:t,dy:e},u={depthRadius:n,bias:o,alpha:s,beta:i};return k.runKernel(Np,a,u)}var C2=T({localResponseNormalizationBackprop_:b5});var I2={kernelName:Rl,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n,o]=t,{depthRadius:s,bias:i,alpha:a,beta:u}=e;return{x:()=>C2(n,o,r,s,i,a,u)}}};function wy(r,t,e,n){return t.rankD(r,J($r(e,t),r.dtype))}}var gv={kernelName:ls,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let n=e,{reductionIndices:o}=n,s=t[0],i=t[1],a=lr(o,s.shape),u=wy(r,i,s,a);return{x:()=>u.x()}}};var S2={kernelName:us,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t;return{a:()=>D(r,J(ln(e,n),"float32")),b:()=>D(r,J(om(e,n),"float32"))}}};function w5(r,t,e,n,o,s,i){let a=I(r,"dy","maxPool3dGrad"),u=I(t,"input","maxPool3dGrad"),l=I(e,"output","maxPool3dGrad"),c=a,p=u,m=l,f=!1;u.rank===4&&(f=!0,c=R(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]]),p=R(u,[1,u.shape[0],u.shape[1],u.shape[2],u.shape[3]]),m=R(l,[1,l.shape[0],l.shape[1],l.shape[2],l.shape[3]])),E(c.rank===5,()=>`Error in maxPool3dGrad: dy must be rank 5 but got rank ${c.rank}.`),E(p.rank===5,()=>`Error in maxPool3dGrad: input must be rank 5 but got rank ${p.rank}.`),E(m.rank===5,()=>`Error in maxPool3dGrad: output must be rank 5 but got rank ${m.rank}.`),Ie("maxPool3dGrad",s,i);let d={dy:c,input:p,output:m},h={filterSize:n,strides:o,pad:s,dimRoundingMode:i},g=k.runKernel(kp,d,h);return f?R(g,[g.shape[1],g.shape[2],g.shape[3],g.shape[4]]):g}var v2=T({maxPool3dGrad_:w5});var N2={kernelName:Fl,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n,o]=t,{filterSize:s,strides:i,pad:a,dimRoundingMode:u}=e;return{x:()=>v2(r,n,o,s,i,a,u)}}};function C5(r,t,e,n,o,s,i){let a=I(r,"dy","maxPoolGrad"),u=I(t,"input","maxPoolGrad"),l=I(e,"output","maxPoolGrad");E(u.rank===a.rank,()=>`Rank of input (${u.rank}) does not match rank of dy (${a.rank})`),E(a.rank===4,()=>`Error in maxPoolGrad: dy must be rank 4 but got rank ${a.rank}.`),E(u.rank===4,()=>`Error in maxPoolGrad: input must be rank 4 but got rank ${u.rank}.`),Ie("maxPoolGrad",s,i);let c={dy:a,input:u,output:l},p={filterSize:n,strides:o,pad:s,dimRoundingMode:i};return k.runKernel(Tp,c,p)}var T2=T({maxPoolGrad_:C5});var k2={kernelName:cs,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n,o]=t,{filterSize:s,strides:i,pad:a}=e;return{x:()=>T2(r,n,o,s,i,a)}}};var E2={kernelName:ps,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,{axis:o}=e,s=lr(o,n.shape),a=Q0(n.shape,s)[1],u=Jt(a);return{x:()=>{let c=n.shape.slice();s.forEach(f=>{c[f]=1});let p=R(r,c);return pt(D(p,cr(n.shape,"float32")),u)}}}};var _2={kernelName:ms,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let n=e,{axis:o}=n,[s,i]=t,a=lr(o,s.shape),u=wy(r,i,s,a);return{x:()=>u.x()}}};var A2={kernelName:fs,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t;return{a:()=>D(r,J(Ln(e,n),"float32")),b:()=>D(r,J(Re(e,n),"float32"))}}};var $2={kernelName:ds,inputsToSave:["x"],gradFunc:(r,t,e)=>{let n=t[0],{paddings:o}=e,s=o.map(i=>i[0]);return{x:()=>Rt(r,s,n.shape)}}};var D2={kernelName:$a,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t,o=Pt(e.shape,n.shape);return{a:()=>{let a=ge(e.shape,o);return a.length>0?R(ft(r,a),e.shape):r},b:()=>{let a=D(r,Ht(Pi(pt(e,n)))),u=ge(n.shape,o);return u.length>0?R(ft(a,u),n.shape):a}}}};var R2={kernelName:hs,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t,o=Pt(e.shape,n.shape);return{a:()=>{let a=D(r,J(n,"float32")),u=ge(e.shape,o);return u.length>0?R(ft(a,u),e.shape):a},b:()=>{let a=D(r,J(e,"float32")),u=ge(n.shape,o);return u.length>0?R(ft(a,u),n.shape):a}}}};var F2={kernelName:pi,gradFunc:r=>({x:()=>Ht(r)})};var O2={kernelName:gs,inputsToSave:["indices"],gradFunc:(r,t)=>{let e=t[0];return{indices:()=>Ne(e.shape,"float32")}}};var P2={kernelName:mi,gradFunc:r=>({x:()=>It(r)})};var L2={kernelName:fi,saveAllInputs:!0,gradFunc:(r,t,e)=>{let{axis:n}=e;return vr(r,n).map(s=>()=>s)}};var xv={kernelName:xs,inputsToSave:["x"],gradFunc:(r,t,e)=>{let n=t[0],{paddings:o}=e,s=o.map(i=>i[0]);return{x:()=>Rt(r,s,n.shape)}}};var M2={kernelName:ys,inputsToSave:["a","b"],outputsToSave:[!0],gradFunc:(r,t)=>{let[e,n,o]=t,s=e,i=n,a=Pt(s.shape,i.shape);return{a:()=>{let c=J(i,"float32"),p=D(r,D(c,an(s,ct(c,mt(1))))),m=ge(s.shape,a);return m.length>0&&(p=ft(p,m)),R(p,s.shape)},b:()=>{let c=Re(s,0),p=_e(c,Sr(s),It(s)),m=D(r,D(o,p)),f=ge(i.shape,a);return f.length>0&&(m=ft(m,f)),R(m,i.shape)}}}};var z2={kernelName:bs,inputsToSave:["x","alpha"],gradFunc:(r,t)=>{let[e,n]=t,o=Re(e,0);return{x:()=>_e(o,r,D(r,n)),alpha:()=>{let s=_e(o,It(r),D(r,e)),i=ge(n.shape,r.shape);return i.length>0&&(s=ft(s,i)),R(s,n.shape)}}}};function I5(r,t,e){let n=r.shape.slice();n[e]=1;let o=R(t,n),s=Xu(r,e,!0,!1),i=Xu(r,e,!0,!0),a=D(s,i);return D(o,a)}function S5(r,t,e){let n=r.shape.length,o=n-e.length,s=v.getAxesPermutation(e,n),i=r;s!=null&&(i=Ot(r,s));let a=i.shape.slice(),l=a.splice(n-e.length,e.length).reduce((m,f)=>m*f,1);a.push(l);let c=i.reshape(a),p=I5(c,t,o);if(p=p.reshape(i.shape),s!=null){let m=v.getUndoAxesPermutation(s);p=Ot(p,m)}return p}var B2={kernelName:ws,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,{axis:o}=e,s=[];return o==null?s=n.shape.map((i,a)=>a):typeof o=="number"?s=[o]:s=o,{x:()=>S5(n,r,s)}}};var V2={kernelName:Qo,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t,o=Pt(e.shape,n.shape);return{a:()=>{let a=pt(r,J(n,"float32")),u=ge(e.shape,o);return u.length>0?R(ft(a,u),e.shape):a},b:()=>{let a=D(r,J(e,"float32")),u=ge(n.shape,o);u.length>0&&(a=R(ft(a,u),n.shape));let l=Mt(n);return Ht(pt(a,J(l,"float32")))}}}};var G2={kernelName:Pa,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,Ht(Mt(e)))}}};var W2={kernelName:vs,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t,n=D(Ln(e,6),bo(e));return{x:()=>D(r,J(n,"float32"))}}};var U2={kernelName:Cs,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,J(bo(e),"float32"))}}};var H2={kernelName:di,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>R(r,e.shape)}}};var q2={kernelName:Ss,inputsToSave:["images"],gradFunc:(r,t,e)=>{let[n]=t,o={dy:r,images:n};return{images:()=>k.runKernel(Op,o,e)}}};var K2={kernelName:Is,inputsToSave:["images"],gradFunc:(r,t,e)=>{let[n]=t,o={dy:r,images:n};return{images:()=>k.runKernel(Fp,o,e)}}};var j2={kernelName:Ns,gradFunc:(r,t,e)=>{let{dims:n}=e,o=lr(n,r.shape);return{x:()=>pr(r,o)}}};var X2={kernelName:Ts,gradFunc:r=>({x:()=>It(r)})};var Y2={kernelName:ks,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>Ht(pt(r,D(an(e,1.5),2)))}}};var Z2={kernelName:hi,inputsToSave:["condition"],gradFunc:(r,t)=>{let[e]=t;return{condition:()=>J(It(e),"float32"),t:()=>D(r,J(e,r.dtype)),e:()=>D(r,J(eu(e),r.dtype))}}};var J2={kernelName:Ma,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=Re(e,mt(0)),o=mt(mv),s=mt(fv),i=D(r,s),a=D(D(r,o),er(J(e,"float32")));return _e(n,i,a)}}}};var Q2={kernelName:_s,outputsToSave:[!0],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,D(e,ct(mt(1),e)))}}};var t$={kernelName:Ba,gradFunc:r=>({x:()=>It(r)})};var e$={kernelName:Es,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(Jl(J(e,"float32")),r)}}};var r$={kernelName:za,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(rm(J(e,"float32")),r)}}};var n$={kernelName:gi,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,{begin:o,size:s}=e,i=n.shape,[a,u]=q0(n,o,s),l=[];for(let c=0;ccn(r,l)}}};var o$={kernelName:Ds,outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n]=t,{dim:o}=e,s=!0,i=D(r,n);return{logits:()=>ct(i,D(ft(i,[o],s),n))}}};var s$={kernelName:Va,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,Yr(e))}}};var yv={kernelName:xi,gradFunc:(r,t,e)=>{let{blockShape:n,paddings:o}=e;return{x:()=>Zl(r,n,o)}}};var bv={kernelName:yi,gradFunc:(r,t,e)=>{let{axis:n}=e;return{x:()=>ne(r,n)}}};var i$={kernelName:As,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,D(Se(J(e,"float32")),2))}}};var a$={kernelName:zl,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,D(J(e,"float32"),2))}}};var l$={kernelName:Rs,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t,o=mt(2);return{a:()=>D(r,D(o,ct(e,n))),b:()=>D(r,D(o,ct(n,e)))}}};var u$={kernelName:po,gradFunc:r=>({x:()=>It(r)})};var c$={kernelName:Fs,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t,o=Pt(e.shape,n.shape);return{a:()=>{let a=r,u=ge(e.shape,o);return u.length>0&&(a=ft(a,u)),R(a,e.shape)},b:()=>{let a=r,u=ge(n.shape,o);return u.length>0&&(a=ft(a,u)),R(Ht(a),n.shape)}}}};var p$={kernelName:$s,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,o=n.shape.slice(),{axis:s}=e;lr(s,n.shape).forEach(l=>{o[l]=1});let a=R(r,o),u=D(a,cr(n.shape,"float32"));return{x:()=>u}}};var m$={kernelName:Os,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>pt(r,Mt(Jl(e)))}}};var f$={kernelName:Ps,outputsToSave:[!0],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(ct(mt(1),Mt(e)),r)}}};var d$={kernelName:Jn,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,{reps:o}=e;return{x:()=>{let i=It(n);if(n.rank===1)for(let a=0;a{let n=e,{perm:o}=n,s=ph(o);return{x:()=>Ot(r,s)}}};var g$={kernelName:bi,gradFunc:(r,t,e)=>{let n=e,{axis:o}=n;return{value:()=>nr(r,o)}}};var x$={kernelName:Wl,inputsToSave:["segmentIds"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>v5(r,e)}}};function v5(r,t){let e=Sn(t,It(t)),n=Li(r,e),o=ln(t,mt(0,"int32")),s=n.rank-o.rank;for(let a=0;a({x:()=>It(r)})};var N5=[by,SA,vA,NA,TA,kA,EA,_A,AA,$A,DA,RA,OA,LA,MA,zA,BA,VA,GA,WA,UA,HA,KA,qA,XA,YA,ZA,JA,QA,t2,V2,e2,r2,n2,o2,s2,a2,i2,l2,p2,m2,f2,d2,h2,g2,x2,y2,b2,w2,I2,gv,gv,S2,N2,k2,E2,_2,A2,$2,D2,R2,F2,O2,P2,L2,xv,xv,M2,z2,B2,G2,W2,U2,H2,q2,K2,j2,X2,Y2,Z2,J2,Q2,t$,e$,r$,n$,o$,s$,yv,yv,bv,bv,i$,l$,a$,u$,c$,p$,m$,f$,d$,h$,g$,x$,y$];for(let r of N5)h1(r);O().prototype.abs=function(){return this.throwIfDisposed(),Ee(this)};O().prototype.acos=function(){return this.throwIfDisposed(),ax(this)};O().prototype.acosh=function(){return this.throwIfDisposed(),lx(this)};O().prototype.add=function(r){return this.throwIfDisposed(),X(this,r)};O().prototype.all=function(r,t){return this.throwIfDisposed(),Zp(this,r,t)};O().prototype.any=function(r,t){return this.throwIfDisposed(),qu(this,r,t)};O().prototype.argMax=function(r){return this.throwIfDisposed(),Ai(this,r)};O().prototype.argMin=function(r){return this.throwIfDisposed(),ux(this,r)};O().prototype.asScalar=function(){return this.throwIfDisposed(),E(this.size===1,()=>"The array must have only 1 element."),R(this,[])};O().prototype.asType=function(r){return this.throwIfDisposed(),J(this,r)};O().prototype.as1D=function(){return this.throwIfDisposed(),R(this,[this.size])};O().prototype.as2D=function(r,t){return this.throwIfDisposed(),R(this,[r,t])};O().prototype.as3D=function(r,t,e){return this.throwIfDisposed(),R(this,[r,t,e])};O().prototype.as4D=function(r,t,e,n){return this.throwIfDisposed(),R(this,[r,t,e,n])};O().prototype.as5D=function(r,t,e,n,o){return this.throwIfDisposed(),R(this,[r,t,e,n,o])};O().prototype.asin=function(){return this.throwIfDisposed(),cx(this)};O().prototype.asinh=function(){return this.throwIfDisposed(),px(this)};O().prototype.atan=function(){return this.throwIfDisposed(),mx(this)};O().prototype.atan2=function(r){return this.throwIfDisposed(),fx(this,r)};O().prototype.atanh=function(){return this.throwIfDisposed(),dx(this)};O().prototype.avgPool=function(r,t,e,n){return this.throwIfDisposed(),Yl(this,r,t,e,n)};O().prototype.batchToSpaceND=function(r,t){return this.throwIfDisposed(),Zl(this,r,t)};O().prototype.batchNorm=function(r,t,e,n,o){return this.throwIfDisposed(),Di(this,r,t,e,n,o)};O().prototype.broadcastTo=function(r){return this.throwIfDisposed(),Ri(this,r)};O().prototype.cast=function(r){return this.throwIfDisposed(),J(this,r)};O().prototype.ceil=function(){return this.throwIfDisposed(),Cx(this)};O().prototype.clipByValue=function(r,t){return this.throwIfDisposed(),Cr(this,r,t)};O().prototype.concat=function(r,t){return this.throwIfDisposed(),r instanceof Ft&&(r=[r]),ne([this,...r],t)};O().prototype.conv1d=function(r,t,e,n,o,s){return this.throwIfDisposed(),Qp(this,r,t,e,n,o,s)};O().prototype.conv2dTranspose=function(r,t,e,n,o){return this.throwIfDisposed(),em(this,r,t,e,n,o)};O().prototype.conv2d=function(r,t,e,n,o,s){return this.throwIfDisposed(),In(this,r,t,e,n,o,s)};O().prototype.cos=function(){return this.throwIfDisposed(),Jl(this)};O().prototype.cosh=function(){return this.throwIfDisposed(),rm(this)};O().prototype.cumprod=function(r,t,e){return this.throwIfDisposed(),Xu(this,r,t,e)};O().prototype.cumsum=function(r,t,e){return this.throwIfDisposed(),nm(this,r,t,e)};O().prototype.depthToSpace=function(r,t){return this.throwIfDisposed(),_x(this,r,t)};O().prototype.depthwiseConv2d=function(r,t,e,n,o,s){return this.throwIfDisposed(),Fi(this,r,t,e,n,o,s)};O().prototype.dilation2d=function(r,t,e,n,o){return this.throwIfDisposed(),Ax(this,r,t,e,n,o)};O().prototype.divNoNan=function(r){return this.throwIfDisposed(),$x(this,r)};O().prototype.div=function(r){return this.throwIfDisposed(),pt(this,r)};O().prototype.dot=function(r){return this.throwIfDisposed(),Dx(this,r)};O().prototype.elu=function(){return this.throwIfDisposed(),Oi(this)};O().prototype.equal=function(r){return this.throwIfDisposed(),$r(this,r)};O().prototype.erf=function(){return this.throwIfDisposed(),Rx(this)};O().prototype.euclideanNorm=function(r,t){return this.throwIfDisposed(),Fx(this,r,t)};O().prototype.exp=function(){return this.throwIfDisposed(),er(this)};O().prototype.expandDims=function(r){return this.throwIfDisposed(),rr(this,r)};O().prototype.expm1=function(){return this.throwIfDisposed(),Ox(this)};O().prototype.fft=function(){return this.throwIfDisposed(),au(this)};O().prototype.flatten=function(){return this.throwIfDisposed(),R(this,[this.size])};O().prototype.floor=function(){return this.throwIfDisposed(),Pi(this)};O().prototype.floorDiv=function(r){return this.throwIfDisposed(),Yp(this,r)};O().prototype.gather=function(r,t){return this.throwIfDisposed(),Li(this,r,t)};O().prototype.greaterEqual=function(r){return this.throwIfDisposed(),ln(this,r)};O().prototype.greater=function(r){return this.throwIfDisposed(),Re(this,r)};O().prototype.ifft=function(){return this.throwIfDisposed(),tl(this)};O().prototype.irfft=function(){return this.throwIfDisposed(),xm(this)};O().prototype.isFinite=function(){return this.throwIfDisposed(),Px(this)};O().prototype.isInf=function(){return this.throwIfDisposed(),Lx(this)};O().prototype.isNaN=function(){return this.throwIfDisposed(),Mx(this)};O().prototype.leakyRelu=function(r){return this.throwIfDisposed(),Ql(this,r)};O().prototype.lessEqual=function(r){return this.throwIfDisposed(),Ln(this,r)};O().prototype.less=function(r){return this.throwIfDisposed(),om(this,r)};O().prototype.localResponseNormalization=function(r,t,e,n){return this.throwIfDisposed(),zx(this,r,t,e,n)};O().prototype.logSigmoid=function(){return this.throwIfDisposed(),Gx(this)};O().prototype.logSoftmax=function(r){return this.throwIfDisposed(),sm(this,r)};O().prototype.logSumExp=function(r,t){return this.throwIfDisposed(),im(this,r,t)};O().prototype.log=function(){return this.throwIfDisposed(),Sr(this)};O().prototype.log1p=function(){return this.throwIfDisposed(),tu(this)};O().prototype.logicalAnd=function(r){return this.throwIfDisposed(),Rr(this,r)};O().prototype.logicalNot=function(){return this.throwIfDisposed(),eu(this)};O().prototype.logicalOr=function(r){return this.throwIfDisposed(),am(this,r)};O().prototype.logicalXor=function(r){return this.throwIfDisposed(),Wx(this,r)};O().prototype.matMul=function(r,t,e){return this.throwIfDisposed(),Lt(this,r,t,e)};O().prototype.maxPool=function(r,t,e,n){return this.throwIfDisposed(),ru(this,r,t,e,n)};O().prototype.max=function(r,t){return this.throwIfDisposed(),Ir(this,r,t)};O().prototype.maximum=function(r){return this.throwIfDisposed(),Sn(this,r)};O().prototype.mean=function(r,t){return this.throwIfDisposed(),ve(this,r,t)};O().prototype.min=function(r,t){return this.throwIfDisposed(),Ja(this,r,t)};O().prototype.minimum=function(r){return this.throwIfDisposed(),Mi(this,r)};O().prototype.mirrorPad=function(r,t){return this.throwIfDisposed(),qx(this,r,t)};O().prototype.mod=function(r){return this.throwIfDisposed(),Kx(this,r)};O().prototype.mul=function(r){return this.throwIfDisposed(),D(this,r)};O().prototype.neg=function(){return this.throwIfDisposed(),Ht(this)};O().prototype.norm=function(r,t,e){return this.throwIfDisposed(),Qa(this,r,t,e)};O().prototype.notEqual=function(r){return this.throwIfDisposed(),Bs(this,r)};O().prototype.oneHot=function(r,t=1,e=0){return this.throwIfDisposed(),Ei(this,r,t,e)};O().prototype.onesLike=function(){return this.throwIfDisposed(),yr(this)};O().prototype.pad=function(r,t){return this.throwIfDisposed(),cn(this,r,t)};O().prototype.pool=function(r,t,e,n,o,s){return this.throwIfDisposed(),jx(this,r,t,e,n,o,s)};O().prototype.pow=function(r){return this.throwIfDisposed(),an(this,r)};O().prototype.prelu=function(r){return this.throwIfDisposed(),ou(this,r)};O().prototype.prod=function(r,t){return this.throwIfDisposed(),Xx(this,r,t)};O().prototype.reciprocal=function(){return this.throwIfDisposed(),ty(this)};O().prototype.relu=function(){return this.throwIfDisposed(),Fr(this)};O().prototype.relu6=function(){return this.throwIfDisposed(),lm(this)};O().prototype.reshapeAs=function(r){return this.throwIfDisposed(),R(this,r.shape)};O().prototype.reshape=function(r){return this.throwIfDisposed(),R(this,r)};O().prototype.resizeBilinear=function(r,t,e){return this.throwIfDisposed(),gy(this,r,t,e)};O().prototype.resizeNearestNeighbor=function(r,t,e){return this.throwIfDisposed(),xy(this,r,t,e)};O().prototype.reverse=function(r){return this.throwIfDisposed(),pr(this,r)};O().prototype.rfft=function(){return this.throwIfDisposed(),lu(this)};O().prototype.round=function(){return this.throwIfDisposed(),um(this)};O().prototype.rsqrt=function(){return this.throwIfDisposed(),cm(this)};O().prototype.selu=function(){return this.throwIfDisposed(),pm(this)};O().prototype.separableConv2d=function(r,t,e,n,o,s){return this.throwIfDisposed(),mm(this,r,t,e,n,o,s)};O().prototype.sigmoid=function(){return this.throwIfDisposed(),Yr(this)};O().prototype.sign=function(){return this.throwIfDisposed(),ey(this)};O().prototype.sin=function(){return this.throwIfDisposed(),fm(this)};O().prototype.sinh=function(){return this.throwIfDisposed(),dm(this)};O().prototype.slice=function(r,t){return this.throwIfDisposed(),Rt(this,r,t)};O().prototype.softmax=function(r){return this.throwIfDisposed(),iu(this,r)};O().prototype.softplus=function(){return this.throwIfDisposed(),zs(this)};O().prototype.spaceToBatchND=function(r,t){return this.throwIfDisposed(),nu(this,r,t)};O().prototype.split=function(r,t){return this.throwIfDisposed(),mr(this,r,t)};O().prototype.sqrt=function(){return this.throwIfDisposed(),Se(this)};O().prototype.square=function(){return this.throwIfDisposed(),Mt(this)};O().prototype.squaredDifference=function(r){return this.throwIfDisposed(),ym(this,r)};O().prototype.squeeze=function(r){return this.throwIfDisposed(),Mn(this,r)};O().prototype.stack=function(r,t){this.throwIfDisposed();let e=r instanceof Ft?[this,r]:[this,...r];return nr(e,t)};O().prototype.step=function(r){return this.throwIfDisposed(),bo(this,r)};O().prototype.stridedSlice=function(r,t,e,n,o,s,i,a){return this.throwIfDisposed(),ry(this,r,t,e,n,o,s,i,a)};O().prototype.sub=function(r){return this.throwIfDisposed(),ct(this,r)};O().prototype.sum=function(r,t){return this.throwIfDisposed(),ft(this,r,t)};O().prototype.tan=function(){return this.throwIfDisposed(),ny(this)};O().prototype.tanh=function(){return this.throwIfDisposed(),$i(this)};O().prototype.tile=function(r){return this.throwIfDisposed(),Dr(this,r)};O().prototype.toBool=function(){return this.throwIfDisposed(),J(this,"bool")};O().prototype.toFloat=function(){return this.throwIfDisposed(),J(this,"float32")};O().prototype.toInt=function(){return this.throwIfDisposed(),J(this,"int32")};O().prototype.topk=function(r,t){return this.throwIfDisposed(),oy(this,r,t)};O().prototype.transpose=function(r){return this.throwIfDisposed(),Ot(this,r)};O().prototype.unique=function(r){return this.throwIfDisposed(),sy(this,r)};O().prototype.unsortedSegmentSum=function(r,t){return this.throwIfDisposed(),wm(this,r,t)};O().prototype.unstack=function(r){return this.throwIfDisposed(),vr(this,r)};O().prototype.where=function(r,t){return this.throwIfDisposed(),_e(r,this,t)};O().prototype.zerosLike=function(){return this.throwIfDisposed(),It(this)};var vn=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,vn.prototype)}},Hr=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,Hr.prototype)}},M=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,M.prototype)}},St=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,St.prototype)}},Im=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,Im.prototype)}};var xh=class{constructor(t){this.maxEntries=t||100,this.cache=new Map}get(t){let e;return this.cache.has(t)&&(e=this.cache.get(t),this.cache.delete(t),this.cache.set(t,e)),e}put(t,e){if(this.cache.has(t))this.cache.delete(t);else if(this.cache.size>=this.maxEntries){let n=this.cache.keys().next().value;this.cache.delete(n)}this.cache.set(t,e)}getMaxEntries(){return this.maxEntries}setMaxEntries(t){if(t<0)throw new Error(`The maxEntries of LRU caches must be at least 0, but got ${t}.`);if(this.maxEntries>t)for(let e=0;ee.toUpperCase())}var Co={};function Sm(r){if(r==null)return null;let t={};return t.className=r.getClassName(),t.config=r.getConfig(),t}function wv(r){if(!(r==null||typeof r!="object"))if(Array.isArray(r))r.forEach(t=>wv(t));else{let t=Object.keys(r);for(let e of t){let n=r[e];n!=null&&typeof n=="object"&&(!Array.isArray(n)&&n.type==="ndarray"&&typeof n.value=="number"?r[e]=n.value:wv(n))}}}function Gi(r,t={},e={},n="object",o=!1){if(typeof r=="string"){let s=r,i;if(s in e)i=e[s];else if(s in Co)i=Co[s];else if(i=t[s],i==null)throw new M(`Unknown ${n}: ${r}. This may be due to one of the following reasons: 1. The ${n} is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code. -2. The custom ${n} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);return i}else{let s=r;if(s.className==null||s.config==null)throw new z(`${n}: Improper config format: ${JSON.stringify(s)}. -'className' and 'config' must set.`);let i=s.className,a,u;if(i in e?[a,u]=e[i]:i in wo?[a,u]=wo.className:i in t&&([a,u]=t[i]),a==null)throw new z(`Unknown ${n}: ${i}. This may be due to one of the following reasons: +2. The custom ${n} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);return i}else{let s=r;if(s.className==null||s.config==null)throw new M(`${n}: Improper config format: ${JSON.stringify(s)}. +'className' and 'config' must set.`);let i=s.className,a,u;if(i in e?[a,u]=e[i]:i in Co?[a,u]=Co.className:i in t&&([a,u]=t[i]),a==null)throw new M(`Unknown ${n}: ${i}. This may be due to one of the following reasons: 1. The ${n} is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code. -2. The custom ${n} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);if(u!=null){let l={};for(let f of Object.keys(wo))l[f]=wo[f];for(let f of Object.keys(e))l[f]=e[f];let c=s.config;c.customObjects=l;let p=Object.assign({},wo);for(let f of Object.keys(e))wo[f]=e[f];h0(s.config);let m=u(a,s.config,e,o);return wo=Object.assign({},p),m}else{let l=Object.assign({},wo);for(let p of Object.keys(e))wo[p]=e[p];let c=new a(s.config);return wo=Object.assign({},l),c}}}function d5(r,t){return rt?1:0}function fh(r,t){return-1*d5(r,t)}function vo(r){if(r==null)return r;let t=[];for(let e of r)t.indexOf(e)===-1&&t.push(e);return t}function d$(r){if(r==null)throw new z(`Invalid value in obj: ${JSON.stringify(r)}`);for(let t in r)if(r.hasOwnProperty(t))return!1;return!0}function Vi(r,t,e){if(e!=null&&r.indexOf(e)<0)throw new z(`${e} is not a valid ${t}. Valid values are ${r} or null/undefined.`)}function gy(r,t,e=0,n=1/0){return eo(e>=0),eo(n>=e),Array.isArray(r)&&r.length>=e&&r.length<=n&&r.every(o=>typeof o===t)}function Ze(r,t){Array.isArray(r)?(y.assert(r.length>0,()=>`${t} is unexpectedly an empty array.`),r.forEach((e,n)=>Ze(e,`element ${n+1} of ${t}`))):y.assert(Number.isInteger(r)&&r>0,()=>`Expected ${t} to be a positive integer, but got ${h$(r)}.`)}function h$(r){return r===null?"null":Array.isArray(r)?"["+r.map(t=>h$(t)).join(",")+"]":typeof r=="string"?`"${r}"`:`${r}`}function g$(r,t,e){let n=e!=null?e():y.now(),o;return(...i)=>{let a=e!=null?e():y.now();return a-n0){let e=`${r}_${t}`;return vm.set(e,1),e}else return r}var x5=new RegExp(/^[A-Za-z0-9][-A-Za-z0-9\._\/]*$/);function S$(r){return!!r.match(x5)}function N$(r){return r===parseInt(r.toString(),10)}function So(r,t,e){t==null&&(t=0),e==null&&(e=r.length);let n=1;for(let o=t;ot&&(t=n)}return t}function Yr(r,t){if(t{if(r.shape.length!==2)throw new z(`repeat() expects a rank-2 tensor, but received a rank-${r.shape.length} tensor.`);let e=el(r,1);return vy(e,[1,t,1])})}function T$(r){let t=[So(r.shape)];return D(r,t)}function E$(r){if(r.rank<=1)throw new z(`batchFlatten requires a minimum rank of 2. Got rank: ${r.rank}.`);let t=[r.shape[0],So(r.shape,1)];return D(r,t)}function Qa(r,t,e){return B(()=>{switch(r.rank){case 1:return dm(r,t,e);case 2:return uh(r,[t,0],[e,r.shape[1]]);case 3:return hm(r,[t,0,0],[e,r.shape[1],r.shape[2]]);case 4:return ec(r,[t,0,0,0],[e,r.shape[1],r.shape[2],r.shape[3]]);case 5:return Dt(r,[t,0,0,0,0],[e,r.shape[1],r.shape[2],r.shape[3],r.shape[4]]);case 6:return Dt(r,[t,0,0,0,0,0],[e,r.shape[1],r.shape[2],r.shape[3],r.shape[4],r.shape[5]]);default:throw new z(`sliceAlongFirstAxis() received an unsupported tensor rank: ${r.rank}`)}})}function b0(r,t,e){return B(()=>{switch(r.rank){case 1:return dm(r,t,e);case 2:return uh(r,[0,t],[r.shape[0],e]);case 3:return hm(r,[0,0,t],[r.shape[0],r.shape[1],e]);case 4:return ec(r,[0,0,0,t],[r.shape[0],r.shape[1],r.shape[2],e]);default:throw new z(`sliceAlongLastAxis() received an unsupported tensor rank: ${r.rank}`)}})}function hh(r,t,e,n){return B(()=>{switch(r.rank){case 1:return dm(r,t,e);case 2:switch(n){case 1:return Qa(r,t,e);case 2:return b0(r,t,e);default:throw new z(`The axis is not within the rank of the tensor ${n}`)}case 3:switch(n){case 1:return Qa(r,t,e);case 2:return hm(r,[0,t,0],[r.shape[0],e,r.shape[2]]);case 3:return b0(r,t,e);default:throw new z(`The axis is not within the rank of the tensor ${n}`)}case 4:switch(n){case 1:return Qa(r,t,e);case 2:return ec(r,[0,t,0,0],[r.shape[0],e,r.shape[2],r.shape[3]]);case 3:return ec(r,[0,0,t,0],[r.shape[0],r.shape[1],e,r.shape[3]]);case 4:return b0(r,t,e);default:throw new z(`The axis is not within the rank of the tensor ${n}`)}default:throw new z(`sliceAlongLastAxis() received an unsupported tensor rank: ${r.rank}`)}})}function Sm(r,t=-1){let e;return t<0&&(e=r[0].rank,e!==0?t=e:t=0),t===r[0].rank&&(t=-1),ne(r,t)}function C0(r,t){switch(r.rank){case 1:return xx([r,t]);case 2:return yx([r,t],0);case 3:return bx([r,t],0);case 4:return wx([r,t],0);default:throw new z(`concatAlongFirstAxis() received an unsupported tensor rank: ${r.rank}`)}}function vy(r,t){if(Array.isArray(t)||(t=[t]),r.rank!==t.length)throw new z(`The length of input n (${t.length}) does not match the number of dimensions in input x (${r.rank})`);return $r(r,t)}function Nm(r,t=0,e=1,n,o){return tc(r,t,e,n,o)}function No(r,t,e,n){if(r.rank<2||t.rank<2)throw new vt(`dot requires both inputs to be rank >= 2 but got x shape = ${r.shape} and y shape = ${t.shape}`);if(t.rank>=3){let o=r.shape.slice(-1)[0],s=t.shape.slice(-2)[0];if(o!==s)throw new vt(`If rank y >= 3, then the second last dim of y must equal the last dim of x but got x shape = ${r.shape} and y shape = ${t.shape}`)}if(r.rank===2&&t.rank===2)return au.matMul({a:r,b:t,transposeA:!1,transposeB:!1,bias:n?w0(r.rank,n,pn()):null,activation:e});{let o=r.shape.slice(),s=o.pop();r=D(r,[-1,s]);let i=t.shape.slice(),a=i.pop(),u=i.pop(),l=[...i,a],c=Array.from({length:t.rank},(d,h)=>h===0?t.rank-2:h<=t.rank-2?h-1:h);t=D(Ot(t,c),[u,-1]);let p=[...o,...l],m=!1,f=!1;return D(au.matMul({a:r,b:t,transposeA:m,transposeB:f,bias:n?w0(r.rank,n,pn()):null,activation:e}),p)}}function Sy(r,t,e){return B(()=>(Array.isArray(t)?t=Le(t,"int32"):t=J(t,"int32"),Oi(r,t,e)))}function lc(r){return R(r,r)}function w0(r,t,e){let n=t.shape;if(t.rank!==1&&t.rank!==r)throw new z(`Unexpected bias dimensions: ${t.rank}; expected it to be 1 or ${r}`);if(r===5){if(e==="channelsFirst")return n.length===1?D(t,[1,n[0],1,1,1]):D(t,[1,n[3],n[0],n[1],n[2]]);if(e==="channelsLast")return n.length===1?D(t,[1,1,1,1,n[0]]):D(t,[1].concat(n))}else if(r===4){if(e==="channelsFirst")return n.length===1?D(t,[1,n[0],1,1]):D(t,[1,n[2],n[0],n[1]]);if(e==="channelsLast")return n.length===1?D(t,[1,1,1,n[0]]):D(t,[1].concat(n))}else if(r===3){if(e==="channelsFirst")return n.length===1?D(t,[1,n[0],1]):D(t,[1,n[1],n[0]]);if(e==="channelsLast")return n.length===1?D(t,[1,1,n[0]]):D(t,[1].concat(n))}else if(r<3)return t;throw new z(`Unsupported input rank by biasAdd: ${t.rank}`)}function mn(r,t,e){return B(()=>(e==null&&(e=pn()),Re(e),X(r,w0(r.rank,t,e))))}function _$(r,t=1){if(t!==1)throw new vt(`Support for alpha values other than 1 (${t}) is not implemented yet.`);return Ri(r)}function A$(r){return B(()=>pt(r,X(Ee(r),1)))}function Ny(r,t,e,n){return B(()=>n0(r,t,e,n))}function $$(r){return B(()=>{let t=X(.5,R(.2,r));return Cr(t,0,1)})}function gu(r,t,e=!1){return e?r():t()}var D$=["fanIn","fanOut","fanAvg"],R$=["normal","uniform","truncatedNormal"];function y5(r){Vi(D$,"FanMode",r)}function b5(r){Vi(R$,"Distribution",r)}var fn=class extends Q.Serializable{fromConfigUsesCustomObjects(){return!1}getConfig(){return{}}},km=class extends fn{apply(t,e){return Ne(t,e)}};km.className="Zeros";Q.registerClass(km);var xu=class extends fn{apply(t,e){return lr(t,e)}};xu.className="Ones";Q.registerClass(xu);var Tm=class extends fn{constructor(t){if(super(),typeof t!="object")throw new z(`Expected argument of type ConstantConfig but got ${t}`);if(t.value===void 0)throw new z(`config must have value set but got ${t}`);this.value=t.value}apply(t,e){return B(()=>R(mt(this.value),lr(t,e)))}getConfig(){return{value:this.value}}};Tm.className="Constant";Q.registerClass(Tm);var Em=class extends fn{constructor(t){super(),this.DEFAULT_MINVAL=-.05,this.DEFAULT_MAXVAL=.05,this.minval=t.minval||this.DEFAULT_MINVAL,this.maxval=t.maxval||this.DEFAULT_MAXVAL,this.seed=t.seed}apply(t,e){return Li(t,this.minval,this.maxval,e)}getConfig(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}}};Em.className="RandomUniform";Q.registerClass(Em);var _m=class extends fn{constructor(t){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=t.mean||this.DEFAULT_MEAN,this.stddev=t.stddev||this.DEFAULT_STDDEV,this.seed=t.seed}apply(t,e){if(e=e||"float32",e!=="float32"&&e!=="int32")throw new vt(`randomNormal does not support dType ${e}.`);return Nm(t,this.mean,this.stddev,e,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};_m.className="RandomNormal";Q.registerClass(_m);var Am=class extends fn{constructor(t){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=t.mean||this.DEFAULT_MEAN,this.stddev=t.stddev||this.DEFAULT_STDDEV,this.seed=t.seed}apply(t,e){if(e=e||"float32",e!=="float32"&&e!=="int32")throw new vt(`truncatedNormal does not support dType ${e}.`);return ym(t,this.mean,this.stddev,e,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};Am.className="TruncatedNormal";Q.registerClass(Am);var $m=class extends fn{constructor(t){super(),this.gain=t.gain!=null?t.gain:1}apply(t,e){return B(()=>{if(t.length!==2||t[0]!==t[1])throw new z("Identity matrix initializer can only be used for 2D square matrices.");return R(this.gain,Yu(t[0]))})}getConfig(){return{gain:this.gain}}};$m.className="Identity";Q.registerClass($m);function w5(r,t="channelsLast"){let e,n;if(Re(t),r.length===2)e=r[0],n=r[1];else if([3,4,5].indexOf(r.length)!==-1){if(t==="channelsFirst"){let o=So(r,2);e=r[1]*o,n=r[0]*o}else if(t==="channelsLast"){let o=So(r,0,r.length-2);e=r[r.length-2]*o,n=r[r.length-1]*o}}else{let o=So(r);e=Math.sqrt(o),n=Math.sqrt(o)}return[e,n]}var Hr=class extends fn{constructor(t){if(super(),t.scale<0)throw new z(`scale must be a positive float. Got: ${t.scale}`);this.scale=t.scale==null?1:t.scale,this.mode=t.mode==null?"fanIn":t.mode,y5(this.mode),this.distribution=t.distribution==null?"normal":t.distribution,b5(this.distribution),this.seed=t.seed}apply(t,e){let n=w5(t),o=n[0],s=n[1],i=this.scale;if(this.mode==="fanIn"?i/=Math.max(1,o):this.mode==="fanOut"?i/=Math.max(1,s):i/=Math.max(1,(o+s)/2),this.distribution==="normal"){let a=Math.sqrt(i);if(e=e||"float32",e!=="float32"&&e!=="int32")throw new vt(`${this.getClassName()} does not support dType ${e}.`);return ym(t,0,a,e,this.seed)}else{let a=Math.sqrt(3*i);return Li(t,-a,a,e)}}getConfig(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}}};Hr.className="VarianceScaling";Q.registerClass(Hr);var uc=class extends Hr{constructor(t){super({scale:1,mode:"fanAvg",distribution:"uniform",seed:t==null?null:t.seed})}getClassName(){return Hr.className}};uc.className="GlorotUniform";Q.registerClass(uc);var cc=class extends Hr{constructor(t){super({scale:1,mode:"fanAvg",distribution:"normal",seed:t==null?null:t.seed})}getClassName(){return Hr.className}};cc.className="GlorotNormal";Q.registerClass(cc);var pc=class extends Hr{constructor(t){super({scale:2,mode:"fanIn",distribution:"normal",seed:t==null?null:t.seed})}getClassName(){return Hr.className}};pc.className="HeNormal";Q.registerClass(pc);var mc=class extends Hr{constructor(t){super({scale:2,mode:"fanIn",distribution:"uniform",seed:t==null?null:t.seed})}getClassName(){return Hr.className}};mc.className="HeUniform";Q.registerClass(mc);var fc=class extends Hr{constructor(t){super({scale:1,mode:"fanIn",distribution:"normal",seed:t==null?null:t.seed})}getClassName(){return Hr.className}};fc.className="LeCunNormal";Q.registerClass(fc);var dc=class extends Hr{constructor(t){super({scale:1,mode:"fanIn",distribution:"uniform",seed:t==null?null:t.seed})}getClassName(){return Hr.className}};dc.className="LeCunNormal";Q.registerClass(dc);var Dm=class extends fn{constructor(t){if(super(),this.DEFAULT_GAIN=1,this.gain=t.gain==null?this.DEFAULT_GAIN:t.gain,this.seed=t.seed,this.seed!=null)throw new vt("Random seed is not implemented for Orthogonal Initializer yet.")}apply(t,e){return B(()=>{if(t.length<2)throw new vt("Shape must be at least 2D.");t[0]*t[1]>2e3&&console.warn(`Orthogonal initializer is being called on a matrix with more than 2000 (${t[0]*t[1]}) elements: Slowness may result.`);let n=t[0]>t[1]?[t[1],t[0]]:t,o=Nm(n,0,1,"float32"),s=i0.gramSchmidt(o);return t[0]>t[1]&&(s=Ot(s)),R(this.gain,s)})}getConfig(){return{gain:this.gain,seed:this.seed}}};Dm.className="Orthogonal";Q.registerClass(Dm);var F$={constant:"Constant",glorotNormal:"GlorotNormal",glorotUniform:"GlorotUniform",heNormal:"HeNormal",heUniform:"HeUniform",identity:"Identity",leCunNormal:"LeCunNormal",leCunUniform:"LeCunUniform",ones:"Ones",orthogonal:"Orthogonal",randomNormal:"RandomNormal",randomUniform:"RandomUniform",truncatedNormal:"TruncatedNormal",varianceScaling:"VarianceScaling",zeros:"Zeros"};function O$(r,t={}){return Bi(r,Q.SerializationMap.getMap().classNameMap,t,"initializer")}function ke(r){return Im(r)}function de(r){if(typeof r=="string"){let t=r in F$?F$[r]:r;if(t==="GlorotNormal")return new cc;if(t==="GlorotUniform")return new uc;if(t==="HeNormal")return new pc;if(t==="HeUniform")return new mc;if(t==="LeCunNormal")return new fc;if(t==="LeCunUniform")return new dc;{let e={};return e.className=t,e.config={},O$(e)}}else return r instanceof fn?r:O$(r)}function ky(r){return Array.isArray(r)&&Array.isArray(r[0])}function Rm(r){return r.length===0?[]:Array.isArray(r[0])?r:[r]}function At(r){let t;if(Array.isArray(r)){if(r.length!==1)throw new z(`Expected Tensor length to be 1; got ${r.length}`);t=r[0]}else t=r;return t}function Jt(r){if(Array.isArray(r)&&Array.isArray(r[0])){if(r.length===1)return r=r,r[0];throw new z(`Expected exactly 1 Shape; got ${r.length}`)}else return r}function Fm(r){let t=0;for(let e of r)e.shape.length===0?t+=1:t+=e.shape.reduce((n,o)=>n*o);return t}var L$="Variable",gh=class{constructor(t,e="float32",n=L$,o=!0,s=null){this.dtype=e==null?"float32":e,this.shape=t.shape,this.id=by(),n=n==null?L$:n,this.originalName=wy(n),this.name=Cy(this.originalName),this.trainable_=o,this.constraint=s,this.val=ey(t,this.trainable_,this.name,this.dtype)}read(){return this.assertNotDisposed(),this.val}write(t){return this.assertNotDisposed(),I5(this.val,t),this.val.id!==t.id&&(this.val.assign(t),this.constraint!=null&&this.val.assign(this.constraint.apply(this.val))),this}dispose(){this.assertNotDisposed(),this.val.dispose()}assertNotDisposed(){if(this.val.isDisposed)throw new Error(`LayersVariable ${this.name} is already disposed.`)}get trainable(){return this.trainable_}set trainable(t){this.trainable_=t,this.val.trainable=t}};function I5(r,t){if(r.shape.toString()!==t.shape.toString())throw new Error("Shape mismatch: "+JSON.stringify(r.shape)+" vs. "+JSON.stringify(t.shape))}function xh(r){return r.map(t=>t.read())}function Om(r){r.forEach(t=>{t[0].write(t[1])})}var ye=class{constructor(t){this.dtype=t.dtype,this.shape=t.shape,t.shape!=null?this.ndim=t.shape.length:this.ndim=t.ndim,this.maxNDim=t.maxNDim,this.minNDim=t.minNDim,this.axes=t.axes||{}}},Jr=class{constructor(t,e,n,o,s,i,a){this.dtype=t,this.shape=e,this.sourceLayer=n,this.inputs=o,this.callArgs=s,this.outputTensorIndex=a,this.id=by(),i!=null&&(this.originalName=wy(i),this.name=Cy(this.originalName)),this.rank=e.length}},v5=0,rl=class{constructor(t,e){this.callArgs=e,this.id=v5++,this.outboundLayer=t.outboundLayer,this.inboundLayers=t.inboundLayers,this.nodeIndices=t.nodeIndices,this.tensorIndices=t.tensorIndices,this.inputTensors=t.inputTensors,this.outputTensors=t.outputTensors,this.inputMasks=t.inputMasks,this.outputMasks=t.outputMasks,this.inputShapes=t.inputShapes,this.outputShapes=t.outputShapes;for(let n of t.inboundLayers)n!=null&&n.outboundNodes.push(this);t.outboundLayer.inboundNodes.push(this)}getConfig(){let t=[];for(let e of this.inboundLayers)e!=null?t.push(e.name):t.push(null);return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:t,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}}},S5=0,Rt=class extends Q.Serializable{constructor(t={}){super(),this._callHook=null,this._addedWeightNames=[],this._stateful=!1,this.id=S5++,this.activityRegularizer=null,this.inputSpec=null,this.supportsMasking=!1,this._trainableWeights=[],this._nonTrainableWeights=[],this._losses=[],this._updates=[],this._built=!1,this.inboundNodes=[],this.outboundNodes=[];let e=t.name;if(!e){let n=this.getClassName();e=Io(n)+"_"+hu(n)}if(this.name=e,this.trainable_=t.trainable==null?!0:t.trainable,t.inputShape!=null||t.batchInputShape!=null){let n;if(t.batchInputShape!=null)n=t.batchInputShape;else if(t.inputShape!=null){let s=null;t.batchSize!=null&&(s=t.batchSize),n=[s].concat(t.inputShape)}this.batchInputShape=n;let o=t.dtype;o==null&&(o=t.inputDType),o==null&&(o="float32"),this.dtype=o}t.weights!=null?this.initialWeights=t.weights:this.initialWeights=null,this._refCount=null,this.fastWeightInitDuringBuild=!1}static nodeKey(t,e){return t.name+"_ib-"+e.toString()}getNodeAtIndex(t,e){if(this.inboundNodes.length===0)throw new Ur(`The layer has never been called and thus has no defined ${e}.`);if(this.inboundNodes.length<=t)throw new z(`Asked to get ${e} at node ${t}, but the layer has only ${this.inboundNodes.length} inbound nodes.`);return this.inboundNodes[t]}getInputAt(t){return Sr(this.getNodeAtIndex(t,"input").inputTensors)}getOutputAt(t){return Sr(this.getNodeAtIndex(t,"output").outputTensors)}get input(){if(this.inboundNodes.length>1)throw new vn(`Layer ${this.name} has multiple inbound nodes, hence the notion of "layer input" is ill-defined. Use \`getInputAt(nodeIndex)\` instead.`);if(this.inboundNodes.length===0)throw new vn(`Layer ${this.name} is not connected, no input to return.`);return Sr(this.getNodeAtIndex(0,"input").inputTensors)}get output(){if(this.inboundNodes.length===0)throw new vn(`Layer ${this.name} has no inbound nodes.`);if(this.inboundNodes.length>1)throw new vn(`Layer ${this.name} has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use \`getOutputAt(nodeIndex)\` instead.`);return Sr(this.getNodeAtIndex(0,"output").outputTensors)}get losses(){return this._losses}calculateLosses(){return this.losses.map(t=>t())}get updates(){return this._updates}get built(){return this._built}set built(t){this._built=t}get trainable(){return this.trainable_}set trainable(t){this._trainableWeights.forEach(e=>e.trainable=t),this.trainable_=t}get trainableWeights(){return this.trainable_?this._trainableWeights.filter(t=>t.trainable):[]}set trainableWeights(t){this._trainableWeights=t}get nonTrainableWeights(){return this.trainable?this._trainableWeights.filter(t=>!t.trainable).concat(this._nonTrainableWeights):this._trainableWeights.concat(this._nonTrainableWeights)}set nonTrainableWeights(t){this._nonTrainableWeights=t}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}get stateful(){return this._stateful}resetStates(){if(!this.stateful)throw new Error("Cannot call the resetStates() method of a non-stateful Layer object.")}assertInputCompatibility(t){if(t=xe(t),this.inputSpec==null||this.inputSpec.length===0)return;let e=xe(this.inputSpec);if(t.length!==e.length)throw new z(`Layer ${this.name} expects ${e.length} inputs, but it received ${t.length} input tensors. Input received: ${t}`);for(let n=0;ns.maxNDim)throw new z(`Input ${n} is incompatible with layer ${this.name}: expected max_ndim=${s.maxNDim}, found ndim=${i}`);if(s.minNDim!=null&&i=0?a[l]:a[a.length+l];if(c!=null&&[c,null].indexOf(p)===-1)throw new z(`Input ${n} is incompatible with layer ${this.name}: expected axis ${l} of input shape to have value ${c} but got shape ${a}.`)}}if(s.shape!=null)for(let a=0;a{if(!this.built){this.assertInputCompatibility(t);let i=[];for(let a of xe(t))i.push(a.shape);this.build(Sr(i)),this.built=!0,this.initialWeights&&this.setWeights(this.initialWeights),this._refCount===null&&s&&(this._refCount=1)}if(this.assertInputCompatibility(t),s){let i=this.call(t,e),a=xe(i),u=[];for(let l of a)n.indexOf(l)!==-1&&(l=l.clone()),u.push(l);if(i=Sr(u),this.activityRegularizer!=null)throw new vt("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return i}else{let i=N5(t),a=this.computeOutputShape(i),u,l=k5(t);if(this.warnOnIncompatibleInputShape(Array.isArray(t)?i[0]:i),a!=null&&a.length>0&&Array.isArray(a[0])?u=a.map((c,p)=>new Jr(l,c,this,xe(t),e,this.name,p)):u=new Jr(l,a,this,xe(t),e,this.name),this.addInboundNode(t,u,null,null,i,a,e),this._refCount++,this.activityRegularizer!=null)throw new vt("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return u}})}warnOnIncompatibleInputShape(t){if(this.batchInputShape!=null)if(t.length!==this.batchInputShape.length)console.warn(`The rank of the input tensor provided (shape: ${JSON.stringify(t)}) does not match that of the batchInputShape (${JSON.stringify(this.batchInputShape)}) of the layer ${this.name}`);else{let e=!1;this.batchInputShape.forEach((n,o)=>{n!=null&&t[o]!=null&&t[o]!==n&&(e=!0)}),e&&console.warn(`The shape of the input tensor (${JSON.stringify(t)}) does not match the expectation of layer ${this.name}: ${JSON.stringify(this.batchInputShape)}`)}}get outputShape(){if(this.inboundNodes==null||this.inboundNodes.length===0)throw new vn(`The layer ${this.name} has never been called and thus has no defined output shape.`);let t=[];for(let e of this.inboundNodes){let n=JSON.stringify(e.outputShapes);t.indexOf(n)===-1&&t.push(n)}if(t.length===1){let e=this.inboundNodes[0].outputShapes;return Array.isArray(e)&&Array.isArray(e[0])&&e.length===1?e[0]:e}else throw new vn(`The layer ${this.name} has multiple inbound nodes with different output shapes. Hence the notion of "output shape" is ill-defined for the layer.`)}countParams(){if(!this.built)throw new Ur(`You tried to call countParams() on ${this.name}, but the layer is not built yet. Build it first by calling build(batchInputShape).`);return Fm(this.weights)}build(t){this.built=!0}getWeights(t=!1){return xh(t?this.trainableWeights:this.weights)}setWeights(t){B(()=>{let e=this.weights;if(e.length!==t.length)throw new z(`You called setWeights(weights) on layer "${this.name}" with a weight list of length ${t.length}, but the layer was expecting ${e.length} weights. Provided weights: ${t}...`);if(e.length===0)return;let n=[],o=xh(e);for(let s=0;ss.apply(c.read())),i==null&&(i=!0),i?this._trainableWeights.push(c):this._nonTrainableWeights.push(c),c}setFastWeightInitDuringBuild(t){this.fastWeightInitDuringBuild=t}addLoss(t){t==null||Array.isArray(t)&&t.length===0||(t=xe(t),this._losses!==void 0&&this._losses!==null&&this.losses.push(...t))}computeOutputShape(t){return t}computeMask(t,e){if(!this.supportsMasking){if(e!=null)if(Array.isArray(e))e.forEach(n=>{if(n!=null)throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`)});else throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`);return null}return e}addInboundNode(t,e,n,o,s,i,a=null){let u=xe(t);e=xe(e),n=xe(n),o=xe(o),s=Rm(s),i=Rm(i);let l=[],c=[],p=[];for(let m of u)l.push(m.sourceLayer),c.push(m.nodeIndex),p.push(m.tensorIndex);new rl({outboundLayer:this,inboundLayers:l,nodeIndices:c,tensorIndices:p,inputTensors:u,outputTensors:e,inputMasks:n,outputMasks:o,inputShapes:s,outputShapes:i},a);for(let m=0;mt.dispose()),this.weights.length}assertNotDisposed(){if(this._refCount===0)throw new Error(`Layer '${this.name}' is already disposed.`)}dispose(){if(!this.built)throw new Error(`Cannot dispose Layer ${this.name} because it has not been built yet.`);if(this._refCount===null)throw new Error(`Cannot dispose Layer ${this.name} because it has not been used yet.`);this.assertNotDisposed();let t=0;return--this._refCount===0&&(t=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:t}}};function N5(r){r=xe(r);let t=[];for(let e of r)t.push(e.shape);return Sr(t)}function k5(r){return"float32"}function I0(r,t,e){if((t==null||e!=null&&e>0)&&(t=r.sourceLayer,e=r.nodeIndex),t.inboundNodes.length===0)return[r];{let n=t.inboundNodes[e];if(n.inboundLayers.length===0)return n.inputTensors;{let o=[];for(let s=0;sd.name),u=[],l=t.names();for(let d of a)l.indexOf(d)!==-1?u.push(t.getValue(d)):u.push(null);n!=null&&(n.maxNumTensors=-1/0,n.minNumTensors=1/0);let c=a.join(",")+"|"+t.names().sort().join(","),p=Ey.get(c),m;if(p==null){let d=E5(i,t);p=d.sorted,m=d.recipientCounts,Ey.put(c,p),_y.put(c,m)}m={},o||Object.assign(m,_y.get(c));let f=new ko(t);for(let d=0;dn.maxNumTensors&&(n.maxNumTensors=F),F0,()=>"Expected at least one fetch, got none");let e=[],n={};if(r.length===1){let o=M$(r[0],t);e=o.sorted,n=o.recipientMap}else{let o=new Set;for(let s of r){let{sorted:i,recipientMap:a}=M$(s,t);for(let u of i)o.has(u.name)||(e.push(u),o.add(u.name));for(let u in a)n[u]==null&&(n[u]=new Set),a[u].forEach(l=>n[u].add(l))}}return{sorted:e,recipientCounts:_5(n)}}function _5(r){let t={};for(let e in r)t[e]=r[e].size;return t}function M$(r,t){let e=new Set,n=[],o={};for(let a of t.names())e.add(a);let s=[],i=[];for(s.push(r);s.length>0;){let a=s[s.length-1];if(e.has(a.name)){s.pop();continue}let u=i[i.length-1]===s.length-1;if(a.inputs.length===0||u)s.pop(),n.push(a),e.add(a.name),u&&i.pop();else{i.push(s.length-1);for(let l of a.inputs)o[l.name]==null&&(o[l.name]=new Set),o[l.name].add(a.name),!e.has(l.name)&&s.push(l)}}return{sorted:n,recipientMap:o}}function A5(r){let t;if(r.sourceLayer.inboundNodes.length===1)t=r.sourceLayer.output;else{let e=null;for(let n=0;n100,z$);var G$={};Gt(G$,{maxNorm:()=>D5,minMaxNorm:()=>O5,nonNeg:()=>F5,unitNorm:()=>R5});function v0(r,t){return B(()=>ve(ft(R(r,r),t,!0)))}var gc=class extends Q.Serializable{getConfig(){return{}}},Pm=class extends gc{constructor(t){super(),this.defaultMaxValue=2,this.defaultAxis=0,this.maxValue=t.maxValue!=null?t.maxValue:this.defaultMaxValue,this.axis=t.axis!=null?t.axis:this.defaultAxis}apply(t){return B(()=>{let e=v0(t,this.axis),n=Cr(e,0,this.maxValue);return R(t,pt(n,X(sr(),e)))})}getConfig(){return{maxValue:this.maxValue,axis:this.axis}}};Pm.className="MaxNorm";Q.registerClass(Pm);var Lm=class extends gc{constructor(t){super(),this.defaultAxis=0,this.axis=t.axis!=null?t.axis:this.defaultAxis}apply(t){return B(()=>pt(t,X(sr(),v0(t,this.axis))))}getConfig(){return{axis:this.axis}}};Lm.className="UnitNorm";Q.registerClass(Lm);var Mm=class extends gc{apply(t){return Rr(t)}};Mm.className="NonNeg";Q.registerClass(Mm);var zm=class extends gc{constructor(t){super(),this.defaultMinValue=0,this.defaultMaxValue=1,this.defaultRate=1,this.defaultAxis=0,this.minValue=t.minValue!=null?t.minValue:this.defaultMinValue,this.maxValue=t.maxValue!=null?t.maxValue:this.defaultMaxValue,this.rate=t.rate!=null?t.rate:this.defaultRate,this.axis=t.axis!=null?t.axis:this.defaultAxis}apply(t){return B(()=>{let e=v0(t,this.axis),n=X(R(this.rate,Cr(e,this.minValue,this.maxValue)),R(1-this.rate,e));return R(t,pt(n,X(sr(),e)))})}getConfig(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}}};zm.className="MinMaxNorm";Q.registerClass(zm);var B$={maxNorm:"MaxNorm",minMaxNorm:"MinMaxNorm",nonNeg:"NonNeg",unitNorm:"UnitNorm"};function Me(r){return Im(r)}function V$(r,t={}){return Bi(r,Q.SerializationMap.getMap().classNameMap,t,"constraint")}function ze(r){if(r==null)return null;if(typeof r=="string"){let e={className:r in B$?B$[r]:r,config:{}};return V$(e)}else return r instanceof gc?r:V$(r)}function D5(r){return new Pm(r)}function R5(r){return new Lm(r)}function F5(){return new Mm}function O5(r){return new zm(r)}var W$={};Gt(W$,{constant:()=>M5,glorotNormal:()=>H5,glorotUniform:()=>U5,heNormal:()=>q5,heUniform:()=>K5,identity:()=>G5,leCunNormal:()=>j5,leCunUniform:()=>X5,ones:()=>L5,orthogonal:()=>Y5,randomNormal:()=>B5,randomUniform:()=>z5,truncatedNormal:()=>V5,varianceScaling:()=>W5,zeros:()=>P5});function P5(){return new km}function L5(){return new xu}function M5(r){return new Tm(r)}function z5(r){return new Em(r)}function B5(r){return new _m(r)}function V5(r){return new Am(r)}function G5(r){return new $m(r)}function W5(r){return new Hr(r)}function U5(r){return new uc(r)}function H5(r){return new cc(r)}function q5(r){return new pc(r)}function K5(r){return new mc(r)}function j5(r){return new fc(r)}function X5(r){return new dc(r)}function Y5(r){return new Dm(r)}var CD={};Gt(CD,{Layer:()=>Rt,RNN:()=>Nn,RNNCell:()=>il,activation:()=>pY,add:()=>wY,alphaDropout:()=>nZ,average:()=>CY,averagePooling1d:()=>L0,averagePooling2d:()=>M0,averagePooling3d:()=>z0,avgPool1d:()=>AY,avgPool2d:()=>DY,avgPool3d:()=>FY,avgPooling1d:()=>$Y,avgPooling2d:()=>RY,avgPooling3d:()=>OY,batchNormalization:()=>TY,bidirectional:()=>XY,concatenate:()=>IY,conv1d:()=>rY,conv2d:()=>nY,conv2dTranspose:()=>oY,conv3d:()=>sY,conv3dTranspose:()=>iY,convLstm2d:()=>HY,convLstm2dCell:()=>qY,cropping2D:()=>lY,dense:()=>mY,depthwiseConv2d:()=>cY,dot:()=>kY,dropout:()=>fY,elu:()=>Y8,embedding:()=>bY,flatten:()=>hY,gaussianDropout:()=>rZ,gaussianNoise:()=>eZ,globalAveragePooling1d:()=>PY,globalAveragePooling2d:()=>LY,globalMaxPool1d:()=>ZY,globalMaxPool2d:()=>JY,globalMaxPooling1d:()=>xD,globalMaxPooling2d:()=>yD,gru:()=>zY,gruCell:()=>BY,input:()=>$0,inputLayer:()=>X8,layerNormalization:()=>EY,leakyReLU:()=>J8,lstm:()=>VY,lstmCell:()=>GY,masking:()=>oZ,maxPool1d:()=>QY,maxPool2d:()=>tZ,maxPooling1d:()=>bD,maxPooling2d:()=>wD,maxPooling3d:()=>MY,maximum:()=>vY,minimum:()=>SY,multiply:()=>NY,permute:()=>yY,prelu:()=>Q8,reLU:()=>Z8,repeatVector:()=>gY,rescaling:()=>sZ,reshape:()=>xY,rnn:()=>KY,separableConv2d:()=>aY,simpleRNN:()=>WY,simpleRNNCell:()=>UY,softmax:()=>tY,spatialDropout1d:()=>dY,stackedRNNCells:()=>jY,thresholdedReLU:()=>eY,timeDistributed:()=>YY,upSampling2d:()=>uY,zeroPadding2d:()=>_Y});async function Gi(r){if(r==null)return;let t=[],e=[],n=[];for(let o in r){let s=r[o];if(typeof s!="number"){let i=s;t.push(i.data()),e.push(o),n.push(i)}}if(t.length>0){let o=await Promise.all(t);for(let s=0;sX(this.totals[o],R(s,n)));this.totals[o]=a,i!=null&&i.dispose()}}}async onEpochEnd(t,e){if(e!=null)for(let n of this.params.metrics)this.totals[n]!=null&&(typeof this.totals[n]=="number"?e[n]=this.totals[n]/this.seen:B(()=>{let o=R(pt(1,this.seen),this.totals[n]);e[n]=o,this.totals[n].dispose(),De(e[n])}))}},Dy=class extends nl{async onTrainBegin(t){this.epoch=[],this.history={}}async onEpochEnd(t,e){e==null&&(e={}),this.epoch.push(t);for(let n in e)this.history[n]==null&&(this.history[n]=[]),this.history[n].push(e[n])}async syncData(){let t=[],e=[],n=[];for(let s in this.history){let i=this.history[s];for(let a=0;anew Ry(n,t))}var dn=class{constructor(){}static registerCallbackConstructor(t,e){y.assert(t>=0&&Number.isInteger(t),()=>`Verbosity level is expected to be an integer >= 0, but got ${t}`),dn.checkForDuplicate(e),dn.constructors[t]==null&&(dn.constructors[t]=[]),dn.constructors[t].push(e)}static checkForDuplicate(t){for(let e in dn.constructors)dn.constructors[+e].forEach(o=>{if(o===t)throw new z("Duplicate callback constructor.")})}static clear(){dn.constructors={}}static createCallbacks(t){let e=[];for(let n in dn.constructors){let o=+n;t>=o&&e.push(...dn.constructors[o])}return e.map(n=>new n)}};dn.constructors={};function Oy(r,t,e,n,o,s,i,a,u){let l=new Dy,c=[new S0,...dn.createCallbacks(t)];r!=null&&c.push(...r),c.push(l);let p=new $y(c);return p.setParams({epochs:e,initialEpoch:n,samples:o,steps:s,batchSize:i,verbose:t,doValidation:a,metrics:u}),{callbackList:p,history:l}}function hn(r,t={},e=!1){return Bi(r,Q.SerializationMap.getMap().classNameMap,t,"layer",e)}function yh(r,t){return B(()=>{r.dtype!=="float32"&&(r=J(r,"float32"));let e=ft(lc(r),t,!0),n=go(e.shape,sr()),o=ve(In(e,n));return pt(r,o)})}function Wi(r,t){return B(()=>Se(lc(ct(t,r)),-1))}function Bm(r,t){return B(()=>Se(Ee(ct(t,r)),-1))}function yu(r,t){return B(()=>{let e=ct(r,t),n=Cr(Ee(r),sr(),Number.MAX_VALUE),o=Ee(pt(e,n));return R(100,Se(o,-1))})}function J5(r,t){return B(()=>{let e=Cr(t,sr(),Number.MAX_VALUE),n=Ir(X(1,e)),o=Cr(r,sr(),Number.MAX_VALUE),s=Ir(X(1,o));return Se(lc(ct(n,s)),-1)})}function Q5(r,t){return B(()=>{let e=In(0,ct(1,R(r,t)));return Se(lc(e),-1)})}function t8(r,t){return B(()=>{let e=In(0,ct(1,R(r,t)));return Se(e,-1)})}function e8(r,t){return B(()=>{let e=ft(R(r,t),-1),n=Br(R(ct(1,r),t),-1);return In(0,X(1,ct(n,e)))})}function r8(r,t){return B(()=>{let e=Math.log(2),n=ct(t,r),o=ct(X(n,Ms(R(-2,n))),e);return Se(o,-1)})}function xc(r,t,e=!1){return B(()=>{if(e)t=ou(t);else{let n=ft(t,t.shape.length-1,!0);t=pt(t,n)}return t=Cr(t,sr(),1-sr()),Ut(ft(R(J(r,"float32"),Ir(t)),t.shape.length-1))})}function Vm(r,t,e=!1){return B(()=>{let n=J(Fi(T$(r)),"int32");t=Cr(t,sr(),1-sr());let o=t.shape,s=D(ki(n,o[o.length-1]),o);return xc(s,t,e)})}function n8(r,t){if(!y.arraysEqual(r.shape,t.shape))throw new z(`logits and labels must have the same shape, but got shapes ${JSON.stringify(r.shape)} and ${JSON.stringify(t.shape)}`);return B(()=>{let e=Rr(t),n=Ut(Ee(t));return X(ct(e,R(t,r)),Jl(er(n)))})}function Gm(r,t){return B(()=>{let e;return e=Cr(t,sr(),1-sr()),e=Ir(pt(e,ct(1,e))),Se(n8(r,e),-1)})}function o8(r,t){return B(()=>{let e=Cr(r,sr(),1),n=Cr(t,sr(),1);return ft(R(r,Ir(pt(e,n))),-1)})}function s8(r,t){return B(()=>{let e=Ir(X(sr(),t));return Se(ct(t,R(r,e)),-1)})}function wh(r,t){return B(()=>{let e=yh(r,-1),n=yh(t,-1),o=R(e,n);return Ut(ft(o,-1))})}var bh={meanSquaredError:Wi,meanAbsoluteError:Bm,meanAbsolutePercentageError:yu,meanSquaredLogarithmicError:J5,squaredHinge:Q5,hinge:t8,categoricalHinge:e8,logcosh:r8,categoricalCrossentropy:xc,sparseCategoricalCrossentropy:Vm,binaryCrossentropy:Gm,kullbackLeiblerDivergence:o8,poisson:s8,cosineProximity:wh};function Py(r){if(typeof r=="string"){if(r in bh)return bh[r];let t=`Unknown loss ${r}`;throw r.toLowerCase().includes("softmaxcrossentropy")&&(t=`Unknown loss ${r}. Use "categoricalCrossentropy" as the string name for tf.losses.softmaxCrossEntropy`),new z(t)}else return r}function Ch(r,t){return B(()=>{let e=R(.5,xr(t)),n=tl(He(t,e),r.dtype);return Se(Ar(r,n),-1)})}function Ih(r,t){return B(()=>tl(Ar(Ei(r,-1),Ei(t,-1)),"float32"))}function q$(r,t){return B(()=>J(ft(Dr(Ar(r,1),Ar(t,1))),"float32"))}function i8(r,t){return B(()=>J(ft(Dr(Ar(r,1),Ar(t,0))),"float32"))}function a8(r,t){return B(()=>J(ft(Dr(Ar(r,0),Ar(t,1))),"float32"))}function N0(r,t){return B(()=>{let e=q$(r,t),n=a8(r,t),o=X(e,n);return J(_e(He(o,0),pt(e,o),0),"float32")})}function K$(r,t){return B(()=>{let e=q$(r,t),n=i8(r,t),o=X(e,n);return J(_e(He(o,0),pt(e,o),0),"float32")})}function My(r,t){return Gm(r,t)}function zy(r,t){return r.rank===t.rank&&(r=Pn(r,[r.rank-1])),t=Ei(t,-1),t.dtype!==r.dtype&&(t=J(t,r.dtype)),J(Ar(r,t),"float32")}var l8=Wi,u8=Wi,c8=Bm,p8=Bm,m8=yu,f8=yu,vh=xc,d8=wh,k0=Vm,Ly={binaryAccuracy:Ch,categoricalAccuracy:Ih,precision:N0,categoricalCrossentropy:vh,sparseCategoricalCrossentropy:k0,mse:l8,MSE:u8,mae:c8,MAE:p8,mape:m8,MAPE:f8,cosine:d8};function j$(r){if(typeof r=="string"&&r in Ly)return Ly[r];if(typeof r!="string"&&r!=null)return r;throw new z(`Unknown metric ${r}`)}function Sh(r){if(eo(r!==null,`Unknown LossOrMetricFn ${r}`),typeof r=="string")return r;{let t;for(let e of Object.keys(bh))if(bh[e]===r){t=e;break}if(t!==void 0)return t;for(let e of Object.keys(Ly))if(Ly[e]===r){t=e;break}return t!==void 0?t:r.name}}function Y$(r){let t={Adagrad:()=>ic.adagrad(.01),Adadelta:()=>ic.adadelta(1,.95,sr()),Adam:()=>ic.adam(.001,.9,.999,sr()),Adamax:()=>ic.adamax(.002,.9,.999,sr(),0),RMSProp:()=>ic.rmsprop(.001,.9,0,sr()),SGD:()=>ic.sgd(.01)};if(t.adagrad=t.Adagrad,t.adadelta=t.Adadelta,t.adam=t.Adam,t.adamax=t.Adamax,t.rmsprop=t.RMSProp,t.sgd=t.SGD,r in t)return t[r]();throw new z(`Unknown Optimizer ${r}`)}function E0(r,t,e=!1){if(r==null||typeof r!="object"||Object.getPrototypeOf(r)!==Object.prototype||!T0(r))throw new Error("User-defined metadata is expected to be a JSON object, but is not.");if(e){let n=JSON.stringify(r);n.length>1048576&&console.warn(`User-defined metadata of model "${t}" is too large in size (length=${n.length} when serialized). It is not recommended to store such large objects in user-defined metadata. Please make sure its serialized length is <= ${1048576}.`)}}function T0(r){if(r===null)return!0;if(typeof r=="object")if(Object.getPrototypeOf(r)===Object.prototype){let t=Object.keys(r);for(let e of t)if(typeof e!="string"||!T0(r[e]))return!1;return!0}else if(Array.isArray(r)){for(let t of r)if(!T0(t))return!1;return!0}else return!1;else{let t=typeof r;return t==="string"||t==="number"||t==="boolean"}}function Z$(r,t,e,n=console.log){let o=x8(r),s=["Layer (type)","Input Shape","Output shape","Param #"];o?(t=t||90,e=e||[.32,.61,.89,1]):(t=t||115,e=e||[.24,.48,.7,.8,1]),e[e.length-1]<=1&&(e=e.map(c=>Math.floor(t*c)));let i;if(!o){s.push("Receives inputs"),i=[];for(let c in r.nodesByDepth)i.push(...r.nodesByDepth[c])}n("_".repeat(t)),By(s,e,n),n("=".repeat(t));let a=r.layers;for(let c=0;c1||o.length===1&&o[0].inboundLayers.length>1){t=!1;break}n.push(...o)}if(t)for(let o of r.layers){let s=!1;for(let i of o.inboundNodes)if(n.indexOf(i)!==-1)if(s){t=!1;break}else s=!0;if(!t)break}return t}function By(r,t,e=console.log){let n="";for(let o=0;o0&&(n=n.slice(0,n.length-1)+" "),n+=r[o],n=n.slice(0,t[o]),n+=" ".repeat(t[o]-n.length);e(n)}function y8(r,t,e){let n,o;try{o=r.inboundNodes.map(u=>JSON.stringify(u.inputShapes)).join(",")}catch(u){o="multiple"}try{n=JSON.stringify(r.outputShape)}catch(u){n="multiple"}let s=r.name,i=r.getClassName(),a=[`${s} (${i})`,o,n,r.countParams().toString()];By(a,t,e)}function b8(r,t,e,n){let o,s;try{s=r.inboundNodes.map(p=>JSON.stringify(p.inputShapes)).join(",")}catch(p){s="multiple"}try{o=JSON.stringify(r.outputShape)}catch(p){o="multiple"}let i=[];for(let p of r.inboundNodes)if(!(e!=null&&e.length>0&&e.indexOf(p)===-1))for(let m=0;mb.name)}`);vo(this.outputs).length!==this.outputs.length&&console.warn(`The list of outputs passed to the model is redundant. All outputs should only appear once. Found: ${this.outputs.map(b=>b.name)}`),this.inputLayers=[],this.inputLayersNodeIndices=[],this.inputLayersTensorIndices=[],this.outputLayers=[],this.outputLayersNodeIndices=[],this.outputLayersTensorIndices=[],this.layers=[],this.internalContainerRefs=[];for(let b of this.outputs){let w=b.sourceLayer,C=b.nodeIndex,N=b.tensorIndex;this.outputLayers.push(w),this.outputLayersNodeIndices.push(C),this.outputLayersTensorIndices.push(N)}for(let b of this.inputs){let w=b.sourceLayer,C=b.nodeIndex,N=b.tensorIndex;eo(C===0,"input layer has >1 nodes"),eo(N===0,"input layer has >1 tensors"),this.inputLayers.push(w),this.inputLayersNodeIndices.push(C),this.inputLayersTensorIndices.push(N)}this.inputNames=[],this.outputNames=[],this.feedInputShapes=[],this.feedInputNames=[],this.feedOutputNames=[];for(let b=0;bb.shape),this.internalOutputShapes=this.outputs.map(b=>b.shape);let e={},n={},o={},s={},i={},a=[],u=(b,w,C,N,_,A)=>{(N==null||_==null||A==null)&&(N=b.sourceLayer,_=b.nodeIndex,A=b.tensorIndex);let $=N.inboundNodes[_];if(C.indexOf($)!==-1)throw new Ur(`The tensor ${b.name} at layer "${N.name}" is part of a cycle.`);if(w.indexOf($)!==-1)return;this.containerNodes.add(Ln.nodeKey(N,_)),N.id in i||(i[N.id]=Object.keys(i).length),C.indexOf($)===-1&&C.push($);let F=$.inboundLayers.length;for(let P=0;P=0;)C.splice(C.indexOf($),1);a.push($)},l=[],c=[];for(let b of this.outputs)u(b,l,c);let p=a.slice().reverse();for(let b of p){n[b.id]=b,b.id in e||(e[b.id]=0);let w=e[b.id],C=o[b.outboundLayer.id]==null?0:o[b.outboundLayer.id];w=Math.max(w,C),o[b.outboundLayer.id]=w,s[b.outboundLayer.id]=b.outboundLayer,e[b.id]=w;for(let N=0;NparseInt(b,10)).sort(fh);this.layers=[];for(let b of d){let w=f[b];w.sort((C,N)=>{let _=i[C.id],A=i[N.id];return _A?1:0});for(let C of w)C instanceof Ln&&this.internalContainerRefs.push(C),this.layers.push(C)}this.layersByDepth=f,d=Object.keys(m).map(b=>parseInt(b,10)).sort(fh);let h=this.inputs.slice(),g=[];for(let b of d)for(let w of m[b]){let C=w.outboundLayer;if(C!=null){for(let N of w.inputTensors)if(h.indexOf(N)===-1)throw new Ur(`Graph disconnected: cannot obtain value for tensor ${N} at layer "${C.name}". The following previous layers were accessed without issue: ${g}`);for(let N of w.outputTensors)h.push(N);g.push(C.name)}}this.nodesByDepth=m;let x=this.layers.map(b=>b.name);for(let b of x){let w=x.filter(C=>C===b).length;if(w!==1)throw new Ur(`The name "${b}" is used ${w} times in the model. All layer names should be unique. Layer names: `+JSON.stringify(x))}this.outboundNodes=[],this.inboundNodes=[],new rl({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:this.inputs.map(b=>null),outputMasks:this.outputs.map(b=>null),inputShapes:this.inputs.map(b=>b.shape),outputShapes:this.outputs.map(b=>b.shape)}),this.built=!0,this._refCount=1}assertNotDisposed(){if(this._refCount===0)throw new Error(`Container '${this.name}' is already disposed.`)}dispose(){this.assertNotDisposed();let t={refCountAfterDispose:null,numDisposedVariables:0};if(--this._refCount===0){for(let e of this.layers)t.numDisposedVariables+=e.dispose().numDisposedVariables;for(let e of this.internalContainerRefs)t.numDisposedVariables+=e.dispose().numDisposedVariables}return t.refCountAfterDispose=this._refCount,t}get trainable(){return this.trainable_}set trainable(t){this.layers.forEach(e=>{e._trainableWeights.forEach(n=>n.trainable=t)}),this.trainable_=t}get trainableWeights(){if(this._trainableWeights.length>0)throw new z("Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];let t=[];for(let e of this.layers)t=t.concat(e.trainableWeights);return t}get nonTrainableWeights(){let t=[];for(let e of this.layers)t.push(...e.nonTrainableWeights);if(!this.trainable){let e=[];for(let n of this.layers)e.push(...n.trainableWeights);return e.concat(t)}return t}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}loadWeights(t,e=!0){let n={},o=0;for(let i of this.layers)for(let a of i.weights){if(n[a.originalName]!=null)throw new z(`Duplicate weight name: ${a.originalName}`);n[a.originalName]=a,o++}let s=[];for(let i in t){let a=i;if(n[i]==null){let u=i.split("/");a=u.slice(0,-2).concat([u[u.length-1]]).join("/")}if(n[a]!=null)s.push([n[a],t[i]]);else if(e)throw new z(`Provided weight data has no target variable: ${i}`);delete n[a]}if(e){let i=[];for(let a in n)i.push(a);if(i.length>0)throw new z(`${i.length} of ${o} weights are not set: ${i}`)}Om(s)}updatedConfig(){let t=this.getConfig(),e={};return e.className=this.getClassName(),e.config=t,e.kerasVersion=`tfjs-layers ${Wm}`,e.backend="TensorFlow.js",e}toJSON(t,e=!0){let n=Vy(this.updatedConfig());return e?JSON.stringify(n):n}call(t,e){return B(()=>{t=xe(t);let n=new ko;for(let o=0;o{t=xe(t);let n;return e==null?n=Co(null,t.length):n=xe(e),this.runInternalGraph(t,n)[1]})}computeOutputShape(t){let e=Rm(t);if(e.length!==this.inputLayers.length)throw new z(`Invalid inputShape argument ${t}: model has ${this.inputLayers.length} tensor inputs.`);let n={};for(let a=0;aparseInt(a,10)).sort(fh);if(o.length>1)for(let a of o){let u=this.nodesByDepth[a];for(let l of u){let c=l.outboundLayer;if(this.inputLayers.map(h=>h.id).indexOf(c.id)!==-1)continue;let p=[];for(let h=0;hparseInt(u,10)).sort(fh);for(let u of o){let l=this.nodesByDepth[u];for(let c of l){let p=c.outboundLayer,m=c.inputTensors,f=c.outputTensors,d=new Array;for(let h of m)h.id in n&&d.push(n[h.id]);if(d.length===m.length){let h={},g,x,b,w;if(c.callArgs!=null&&(h=c.callArgs),d.length===1){let[C,N]=d[0];h.mask==null&&(h.mask=N),b=xe(p.call(C,h)),w=xe(p.computeMask(C,N)),g=[C],x=[N]}else g=d.map(C=>C[0]),x=d.map(C=>C[1]),h.mask==null&&(h.mask=x),b=xe(p.call(g,h)),w=xe(p.computeMask(g,x));if(p.activityRegularizer)throw new vt("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(let C=0;C{let t=[];for(let e of this.layers)for(let n=0;n0){let h=[];for(let g=0;g0&&g.apply(Sr(b),w)}function l(g){let x=g.name,b=hn(g,e.customObjects!=null?e.customObjects:{});b.setFastWeightInitDuringBuild(o),s[x]=b,g.inboundNodes.forEach(C=>{if(!(C instanceof Array))throw new z(`Corrupted configuration, expected array for nodeData: ${C}`);a(b,C)})}let c=e.name,p=e.layers;for(let g of p)l(g);for(;!d$(i);)for(let g of p){let x=s[g.name];if(x.name in i){let b=i[x.name];delete i[x.name];for(let w of b)u(x,w)}}let m=[],f=[],d=e.inputLayers;for(let g of d){let x=g[0],b=g[1],w=g[2];eo(x in s);let N=s[x].inboundNodes[b].outputTensors;m.push(N[w])}let h=e.outputLayers;for(let g of h){let x=g[0],b=g[1],w=g[2];eo(x in s);let N=s[x].inboundNodes[b].outputTensors;f.push(N[w])}return new t({inputs:m,outputs:f,name:c})}get stateful(){if(this._stateful)throw new z("Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");for(let t of this.layers)if(t.stateful)return!0;return!1}resetStates(){B(()=>{this.layers.forEach(t=>{t.stateful&&t.resetStates()})})}};function w8(r,t,e){let n=t.length;if(r==null||Array.isArray(r)&&r.length===0)return t.map(o=>null);if(n===1)return Array.isArray(r)&&r.length===1?r:typeof r=="object"&&t[0]in r?[r[t[0]]]:[r];if(Array.isArray(r)){if(r.length!==n)throw new Error(`Provided ${e} is an array of ${r.length} element(s), but the model has ${n} outputs. Make sure a set of weights is provided for each model output.`);return r}else if(typeof r=="object"&&Object.keys(r).length>0&&typeof r[Object.keys(r)[0]]=="object"){let o=[];return t.forEach(s=>{s in r?o.push(r[s]):o.push(null)}),o}else throw new Error(`The model has multiple (${n}) outputs, so ${e} must be either an array with ${n} elements or an object with ${t} keys. Provided ${e} not understood: ${JSON.stringify(r)}`)}function Gy(r,t){return w8(r,t,"classWeight")}async function Wy(r,t,e,n){if(t!=null||n!=null)throw new Error("Support sampleWeight is not implemented yet");if(e!=null){let o=B(()=>{if(r.shape.length===1)return sn(r);if(r.shape.length===2){if(r.shape[1]>1)return Ei(r,1);if(r.shape[1]===1)return D(r,[r.shape[0]]);throw new Error(`Encountered unexpected last-dimension size (${r.shape[1]}) during handling of class weights. The size is expected to be >= 1.`)}else throw new Error(`Unexpected rank of target (y) tensor (${r.rank}) during handling of class weights. The rank is expected to be 1 or 2.`)}),s=Array.from(await o.data());St(o);let i=[];return s.forEach(a=>{if(e[a]==null)throw new Error(`classWeight must contain all classes in the training data. The class ${a} exists in the data but not in classWeight`);i.push(e[a])}),Le(i,"float32")}else return null}function Q$(r,t){return R(r,t)}var C8=32;function rD(r,t){let e,n,o=t;e=o.xs,n=o.ys,y.assert(e!=null&&n!=null,()=>`A Dataset iterator for fitDataset() is expected to generate objects of the form \`{xs: xVal, ys: yVal}\`, where the two values may be \`tf.Tensor\`, an array of Tensors, or a map of string to Tensor. The provided Dataset instead generates ${t}`);let s=tD("input",r.inputNames,e),i=tD("output",r.outputNames,n),a=s[0].shape[0];y.assert(s.length===r.inputs.length,()=>`LayersModel has ${r.inputs.length} inputs, but the dataset provides ${s.length} inputs. (Expected input keys: ${JSON.stringify(r.inputNames)})`),y.assert(i.length===r.outputs.length,()=>`LayersModel has ${r.outputs.length} outputs, but the dataset provides ${i.length} outputs. (Expected output keys: ${JSON.stringify(r.outputNames)})`);for(let u=0;u`Batch size mismatch: input ${r.inputNames[u]} has ${s[u].shape[0]}; expected ${a} based on input ${r.inputNames[0]}.`);for(let u=0;u`Batch size mismatch: output ${r.outputNames[u]} has ${i[u].shape[0]}; expected ${a} based on input ${r.inputNames[0]}.`);return{xs:s,ys:i}}function tD(r,t,e){if(e instanceof Ft)return[e];if(Array.isArray(e))return y.assert(e.length===t.length,()=>`Received an array of ${e.length} Tensors, but expected ${t.length} to match the ${r} keys ${t}.`),e;{let n=[];for(let o of t){if(e[o]==null)throw new z(`The feature data generated by the dataset lacks the required ${r} key '${o}'.`);n.push(e[o])}return n}}function I8(r){if(r.length===3)throw new vt("Validation with sample weights is not implemented yet.");return{xs:r[0],ys:r[1]}}async function nD(r,t,e){let n=e.batchesPerEpoch!=null;if(y.assert(r.optimizer!=null,()=>"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig)."),y.assert(e!=null,()=>"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."),y.assert(e.epochs!=null&&e.epochs>0&&Number.isInteger(e.epochs),()=>`For fitDataset(), config.epochs is expected to be a positive integer, but got ${e.epochs}`),y.assert(!n||e.batchesPerEpoch>0&&Number.isInteger(e.batchesPerEpoch),()=>`For fitDataset(), config.batchesPerEpoch is expected to be a positive integer if specified, but got ${e.batchesPerEpoch}`),y.assert(e.validationSplit==null,()=>"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."),r.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");r.isTraining=!0;try{let o=e.validationData!=null,s,i;if(o)if(eD(e.validationData))y.assert(e.validationBatches==null||e.validationBatches>0&&Number.isInteger(e.validationBatches),()=>`For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, but got ${e.validationBatches}`);else{let g=I8(e.validationData);s=g.xs,i=g.ys}let a=r.makeTrainFunction(),u=r.getDedupedMetricsNames(),l;o?l=u.slice().concat(u.map(g=>"val_"+g)):l=u.slice();let c=Fy(e.callbacks,e.yieldEvery),p=e.verbose==null?1:e.verbose,{callbackList:m,history:f}=Oy(c,p,e.epochs,null,null,v8(t,e),null,o,l);m.setModel(r),r.history=f,await m.onTrainBegin(),r.stopTraining_=!1;let d=e.initialEpoch==null?0:e.initialEpoch,h=await t.iterator();for(;d=e.batchesPerEpoch:w.done){if(o){let C;eD(e.validationData)?C=xe(await r.evaluateDataset(e.validationData,{batches:e.validationBatches})):C=xe(r.evaluate(s,i,{batchSize:e.validationBatchSize==null?C8:e.validationBatchSize,verbose:0}));for(let N=0;N0)throw new vt("Verbose mode is not implemented yet.");y.assert(!n||e.batches>0&&Number.isInteger(e.batches),()=>`Test loop expects \`batches\` to be a positive integer, but received ${JSON.stringify(e.batches)}`);let i=S8(t)?t:await t.iterator(),a=0,u=0;for(;!n||u{if(l.value){let{xs:c,ys:p}=rD(r,l.value),m=c.concat(p),f=B(()=>o(m));if(St(m),u===0)for(let h=0;hX(s[h],R(d,g))),u>0&&St(x)}St(f),a+=d,++u}return s}),l.done){n&&console.warn(`Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least \`batches\` batches (in this case, ${e.batches} batches). You may need to use the repeat() function when building your dataset.`);break}}for(let l=0;l0&&Number.isInteger(r),()=>`batchSize is required to be a positive integer, but got ${r}`)}function Um(r,t,e){return r==null?[null]:Array.isArray(r)?r.map(n=>Qa(n,t,e-t)):Qa(r,t,e-t)}function Hy(r,t){return B(()=>r==null?null:Array.isArray(r)?r.map(e=>Hy(e,t)):Sy(r,t.dtype==="int32"?t:J(t,"int32")))}function qy(r,t){let e=[],n=0,o=null;for(;n=r&&(o=r),e.push([n,o]),n=o;return e}async function N8(r,t,e,n,o,s,i,a,u,l,c,p,m,f,d){o==null&&(o=32),s==null&&(s=1),c==null&&(c=!0),m==null&&(m=0);let h=!1;if(u!=null&&l!=null&&(h=!0),d!=null&&(h=!0,f==null))throw new z("Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.");let g=r.checkNumSamples(e,o,f,"steps_per_epoch"),x;g!=null&&(x=Yr(0,g)),i==null&&(i=1);let{callbackList:b,history:w}=Oy(a,i,s,m,g,f,o,h,p);b.setModel(r),r.history=w,await b.onTrainBegin(),r.stopTraining_=!1;for(let C=m;C{let P=A[$][0],V=A[$][1],G=Qa(_,P,V-P);F.batch=$,F.size=V-P;let W=Hy(e,G),q=t(W);for(let H=0;H0){if(g=!0,n.validationData.length===2)u=n.validationData[0],l=n.validationData[1];else throw n.validationData.length===3?new vt("validationData including sample weights is not supported yet."):new z(`When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; ${n.validationData} is invalid.`);let F=!0,P=await r.standardizeUserData(u,l,null,null,F,f);c=P[0],p=P[1],x=c.concat(p)}else if(n.validationSplit!=null&&n.validationSplit>0&&n.validationSplit<1){g=!0;let F=Math.floor(o[0].shape[0]*(1-n.validationSplit)),P=o[0].shape[0];c=Um(o,F,P),i=o,o=Um(o,0,F),p=Um(s,F,P),a=s,s=Um(s,0,F),x=c.concat(p)}else n.validationSteps!=null&&(g=!0);let b=o.concat(s).concat(m);r.checkTrainableWeightsConsistency();let w=r.makeTrainFunction(),C=r.getDedupedMetricsNames(),N,_;g?(r.makeTestFunction(),N=r.testFunction,_=C.slice().concat(C.map(F=>"val_"+F))):(N=null,x=[],_=C.slice());let A=Fy(n.callbacks,n.yieldEvery);return await N8(r,w,b,C,f,n.epochs,n.verbose,A,N,x,n.shuffle,_,n.initialEpoch,null,null)}finally{r.isTraining=!1,To(o,t),To(s,e),To(i,t),To(a,e),To(c,u),To(p,l),m!=null&&St(m)}}function _0(r){let t=[];r instanceof Ft&&(r=[r]);for(let e=0;ee.push(o.id));else if(t!=null)for(let o in t){let s=t[o];e.push(s.id)}let n=[];if(r instanceof Ft)e.indexOf(r.id)===-1&&n.push(r);else if(Array.isArray(r))r.forEach(o=>{e.indexOf(o.id)===-1&&n.push(o)});else if(r!=null)for(let o in r){let s=r[o];e.indexOf(s.id)===-1&&n.push(s)}n.forEach(o=>{o.isDisposed||o.dispose()})}function k8(r){return r instanceof Ft}function A0(r){return Array.isArray(r)}function iD(r){return!k8(r)&&!A0(r)}function aD(r,t,e,n=!0,o=""){if(t==null||t.length===0){if(r!=null){let i=!1;if(A0(r)&&r.length>0)i=!0;else if(iD(r)){for(let a in r)if(r.hasOwnProperty(a)){i=!0;break}}else i=!0;if(i)throw new z(`Error when checking model ${o} expected no data, but got ${r}`)}return[]}if(r==null)return t.map(i=>null);let s;if(iD(r)){r=r,s=[];for(let i of t){if(r[i]==null)throw new z(`No data provided for "${i}". Need data for each key in: ${t}`);s.push(r[i])}}else if(A0(r)){if(r=r,r.length!==t.length)throw new z(`Error when checking model ${o}: the Array of Tensors that you are passing to your model is not the size the model expected. Expected to see ${t.length} Tensor(s), but instead got the following list of Tensor(s): ${r}`);s=r}else{if(r=r,t.length>1)throw new z(`The model ${o} expects ${t.length} Tensor(s), but only received one Tensor. Found: Tensor with shape ${r.shape}`);s=[r]}if(s=_0(s),e!=null)for(let i=0;i=0&&l!==c)throw new z(`${o} expected a batch of elements where each example has shape [${e[i].slice(1,e[i].length)}] (i.e.,tensor shape [*,${e[i].slice(1,e[i].length)}]) but the ${o} received an input with ${a.shape[0]} examples, each with shape [${a.shape.slice(1,a.shape.length)}] (tensor shape [${a.shape}])`)}}return s}function T8(r,t,e){let n=vo(r.map(s=>s.shape[0]));n.sort();let o=vo(t.map(s=>s.shape[0]));if(o.sort(),n.length>1)throw new z(`All input Tensors (x) should have the same number of samples. Got array shapes: ${JSON.stringify(r.map(s=>s.shape))}`);if(o.length>1)throw new z(`All target Tensors (y) should have the same number of samples. Got array shapes: ${JSON.stringify(t.map(s=>s.shape))}`);if(n.length>0&&o.length>0&&!y.arraysEqual(n,o))throw new z(`Input Tensors should have the same number of samples as target Tensors. Found ${n[0]} input sample(s) and ${o[0]} target sample(s).`)}function E8(r,t,e){let n=[Wi,Gm,xc];for(let o=0;o1)throw new z(`The model expects ${t.length} ${o} Tensors, but only received one Tensor. Found: array with shape ${JSON.stringify(r.shape)}.`);s=[r]}if(e!=null)for(let i=0;i[]);let e;if(typeof r=="string"||typeof r=="function")e=[r];else if(Array.isArray(r)||typeof r=="object")e=r;else throw new TypeError(`Type of metrics argument not understood. Expected an string,function, Array, or Object, found: ${r}`);if(Array.isArray(e))return t.map(n=>e);{let n=[];for(let o of t){let s=e.hasOwnProperty(o)?e[o]:[];Array.isArray(s)||(s=[s]),n.push(s)}return n}}var A8="layers-model",Mn=class extends Ln{constructor(t){super(t),this.isTraining=!1}summary(t,e,n=console.log){if(!this.built)throw new z("This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).");Z$(this,t,e,n)}compile(t){if(t.loss==null&&(t.loss=[]),this.loss=t.loss,typeof t.optimizer=="string")this.optimizer_=Y$(t.optimizer),this.isOptimizerOwned=!0;else{if(!(t.optimizer instanceof Gr))throw new z("User-defined optimizer must be an instance of tf.Optimizer.");this.optimizer_=t.optimizer,this.isOptimizerOwned=!1}let e=[];if(!Array.isArray(t.loss)&&typeof t.loss!="string"&&typeof t.loss!="function"){t.loss=t.loss;for(let i in t.loss)if(this.outputNames.indexOf(i)===-1)throw new z(`Unknown entry in loss dictionary: "${i}". Only expected the following keys: ${this.outputNames}`);for(let i of this.outputNames)t.loss[i]==null&&console.warn(`Output "${i}" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data to be passed to ${i} during training`),e.push(Py(t.loss[i]))}else if(Array.isArray(t.loss)){if(t.loss.length!==this.outputs.length)throw new z(`When passing an Array as loss, it should have one entry per model output. The model has ${this.outputs.length} output(s), but you passed loss=${t.loss}.`);e=t.loss.map(a=>Py(a))}else{let i=Py(t.loss);this.outputs.forEach(a=>{e.push(i)})}this.lossFunctions=e,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(let i=0;i{for(let i=0;i1&&(this.metricsTensors.push([a,i]),this.metricsNames.push(this.outputNames[i]+"_loss"))}});let o=_8(t.metrics,this.outputNames),s=(i,a,u)=>{this.outputNames.length>1&&(a=this.outputNames[i]+"_"+a),this.metricsNames.push(a),this.metricsTensors.push([u,i])};Ws("metric",()=>{for(let i=0;i{let c="",p,m,f;for(let d of l){if(typeof d=="string"&&["accuracy","acc","crossentropy","ce"].indexOf(d)!==-1){let g=this.internalOutputShapes[i];g[g.length-1]===1||this.lossFunctions[i]===Gm?["accuracy","acc"].indexOf(d)!==-1?m=Ch:["crossentropy","ce"].indexOf(d)!==-1&&(m=My):this.lossFunctions[i]===Vm?["accuracy","acc"].indexOf(d)!==-1?m=zy:["crossentropy","ce"].indexOf(d)!==-1&&(m=k0):["accuracy","acc"].indexOf(d)!==-1?m=Ih:["crossentropy","ce"].indexOf(d)!==-1&&(m=vh);let x;["accuracy","acc"].indexOf(d)!==-1?x="acc":["crossentropy","ce"].indexOf(d)!==-1&&(x="ce"),f=m,p=c+x}else f=j$(d),p=c+Sh(d);let h;Ws(p,()=>{h=f}),s(i,p,h)}})(a)}}),this.collectedTrainableWeights=this.trainableWeights}checkTrainableWeightsConsistency(){this.collectedTrainableWeights!=null&&this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn("Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?")}evaluate(t,e,n={}){let o=n.batchSize==null?32:n.batchSize;Uy(o);let s=!0,i=this.standardizeUserDataXY(t,e,s,o);try{let a=i[0].concat(i[1]);this.makeTestFunction();let u=this.testFunction,l=this.testLoop(u,a,o,n.verbose,n.steps);return Sr(l)}finally{To(i[0],t),To(i[1],e)}}async evaluateDataset(t,e){return this.makeTestFunction(),oD(this,t,e)}checkNumSamples(t,e,n,o="steps"){let s;if(n!=null){if(s=null,e!=null)throw new z(`If ${o} is set, batchSize must be null or undefined.Got batchSize = ${e}`)}else if(t!=null)Array.isArray(t)?s=t[0].shape[0]:s=t.shape[0];else throw new z(`Either the input data should have a defined shape, or ${o} shoud be specified.`);return s}execute(t,e){if(Array.isArray(e)&&e.length===0)throw new z("`outputs` is an empty Array, which is not allowed.");let n=Array.isArray(e),o=n?e:[e],s=this.retrieveSymbolicTensors(o),i=new ko;if(t instanceof Ft&&(t=[t]),Array.isArray(t)){if(t.length!==this.inputs.length)throw new z(`The number of inputs provided (${t.length}) does not match the number of inputs of this model (${this.inputs.length}).`);for(let u=0;ua.name);for(let a=0;a0){let o=[];throw e.forEach((s,i)=>{s==null&&o.push(t[i])}),new z(`Cannot find SymbolicTensors for output name(s): ${JSON.stringify(o)}`)}return e}predictLoop(t,e=32,n=!1){return B(()=>{let o=this.checkNumSamples(t);if(n)throw new vt("Verbose predictLoop() is not implemented yet.");let s=qy(o,e),i=this.outputs.map(a=>[]);for(let a=0;a{let l=s[a][0],c=s[a][1],p=Um(t,l,c),m=[];if(Array.isArray(p))for(let d=0;di[c].push(l));return Sr(i.map(a=>ne(a,0)))})}predict(t,e={}){let n=_0(t);lD(n,this.inputNames,this.feedInputShapes,!1);try{let o=e.batchSize==null?32:e.batchSize;return Uy(o),this.predictLoop(n,o)}finally{To(n,t)}}predictOnBatch(t){lD(t,this.inputNames,this.feedInputShapes,!0);let e=(Array.isArray(t)?t[0]:t).shape[0];return this.predictLoop(t,e)}standardizeUserDataXY(t,e,n=!0,o){if(this.optimizer_==null)throw new Ur("You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).");let s=[];for(let i=0;i0&&t[0].shape[0]%o!==0)throw new z(`In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size ${o}. Found: ${t[0].shape[0]} sample(s).`);return[t,e]}async standardizeUserData(t,e,n,o,s=!0,i){let[a,u]=this.standardizeUserDataXY(t,e,s,i);if(n!=null)throw new Error("sample weight is not supported yet.");let l=null;if(o!=null){let c=Gy(o,this.outputNames);l=[];for(let p=0;p{let i=this.checkNumSamples(e,n,s,"steps"),a=[];if(o>0)throw new vt("Verbose mode is not implemented yet.");if(s!=null)throw new vt("steps mode in testLoop() is not implemented yet");{let u=qy(i,n),l=Le(Yr(0,i));for(let c=0;c1&&(s+=`_${g0(t.slice(0,n),o)}`),e.push(s)}return e}makeTrainFunction(){return t=>{let e=[],n=t.slice(0,this.inputs.length),o=t.slice(this.inputs.length,this.inputs.length+this.outputs.length),s=t.slice(this.inputs.length+this.outputs.length,this.inputs.length+this.outputs.length*2),i=[],a=()=>{let p=[];for(let h=0;h1&&h{d=X(d,h)}),d},u=this.collectedTrainableWeights.map(p=>p.read()),l=!0;return[this.optimizer_.minimize(a,l,u)].concat(i)}}makeTestFunction(){this.testFunction=t=>B(()=>{let e=[],n,o=t.slice(0,this.inputs.length),s=t.slice(this.inputs.length,this.inputs.length+this.outputs.length),i=[];for(let l=0;lIo(e))}else{let e=Object.keys(this.loss);t={};let n=this.loss;for(let o of e)if(typeof n[o]=="string")t[o]=Io(n[o]);else throw new Error("Serialization of non-string loss is not supported.")}return t}getMetricIdentifiers(){if(typeof this.metrics=="string"||typeof this.metrics=="function")return[Io(Sh(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map(t=>Io(Sh(t)));{let t={};for(let e in this.metrics)t[e]=Io(Sh(this.metrics[e]));return t}}getTrainingConfig(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}}loadTrainingConfig(t){if(t.weighted_metrics!=null)throw new Error("Loading weight_metrics is not supported yet.");if(t.loss_weights!=null)throw new Error("Loading loss_weights is not supported yet.");if(t.sample_weight_mode!=null)throw new Error("Loading sample_weight_mode is not supported yet.");let e=yc(t.optimizer_config),n=hn(e),o;if(typeof t.loss=="string")o=Ja(t.loss);else if(Array.isArray(t.loss))o=t.loss.map(i=>Ja(i));else if(t.loss!=null){o={};for(let i in t.loss)o[i]=Ja(t.loss[i])}let s;if(Array.isArray(t.metrics))s=t.metrics.map(i=>Ja(i));else if(t.metrics!=null){s={};for(let i in t.metrics)s[i]=Ja(t.metrics[i])}this.compile({loss:o,metrics:s,optimizer:n})}async save(t,e){if(typeof t=="string"){let l=Er.getSaveHandlers(t);if(l.length===0)throw new z(`Cannot find any save handlers for URL '${t}'`);if(l.length>1)throw new z(`Found more than one (${l.length}) save handlers for URL '${t}'`);t=l[0]}if(t.save==null)throw new z("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");let n=await Er.encodeWeights(this.getNamedWeights(e)),o=!1,s=null,a={modelTopology:this.toJSON(s,o),format:A8,generatedBy:`TensorFlow.js tfjs-layers v${Wm}`,convertedBy:null};if((e==null?!1:e.includeOptimizer)&&this.optimizer!=null){a.trainingConfig=this.getTrainingConfig();let l="optimizer",{data:c,specs:p}=await Er.encodeWeights(await this.optimizer.getWeights(),l);n.specs.push(...p),n.data=Er.concatenateArrayBuffers([n.data,c])}return this.userDefinedMetadata!=null&&(E0(this.userDefinedMetadata,this.name,!0),a.userDefinedMetadata=this.userDefinedMetadata),a.weightData=n.data,a.weightSpecs=n.specs,t.save(a)}setUserDefinedMetadata(t){E0(t,this.name),this.userDefinedMetadata=t}getUserDefinedMetadata(){return this.userDefinedMetadata}};Mn.className="Model";Q.registerClass(Mn);var Ky=class extends Mn{};Ky.className="Functional";Q.registerClass(Ky);async function uD(r,t){"modelTopology"in r||(r={modelTopology:r}),r=r;let e=r.modelTopology;e.model_config!=null&&(e=e.model_config);let n=yc(e),o=hn(n,t);if(r.weightsManifest!=null){let s=await Er.loadWeights(r.weightsManifest,r.pathPrefix,o.weights.map(a=>a.originalName)),i={};for(let a of o.weights)i[a.originalName]=s[a.originalName];o.loadWeights(i),St(s)}return o}async function cD(r,t){if(t==null&&(t={}),typeof r=="string"){let e=Er.getLoadHandlers(r,t);if(e.length===0)e.push(Er.browserHTTPRequest(r,t));else if(e.length>1)throw new z(`Found more than one (${e.length}) load handlers for URL '${r}'`);r=e[0]}return $8(r,void 0,t)}async function $8(r,t,e){if(e==null&&(e={}),r.load==null)throw new z("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let n=await r.load(),o=n.modelTopology;o.model_config!=null&&(o=o.model_config);let s=e.strict==null?!0:e.strict,i=n.weightData!=null&&n.weightSpecs!=null&&s,a=hn(yc(o),t,i),u=n.trainingConfig;if(u!=null&&a.loadTrainingConfig(u),n.userDefinedMetadata!=null&&a.setUserDefinedMetadata(n.userDefinedMetadata),n.weightData!=null){if(n.weightSpecs==null)throw new z("LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.");let{modelWeights:l,optimizerWeights:c}=D8(n.weightData,n.weightSpecs);a.loadWeights(l,s),a.optimizer!=null&&c.length>0&&await a.optimizer.setWeights(c),St(l),St(c.map(p=>p.tensor))}return a}function D8(r,t){let e=Er.decodeWeights(r,t),n={},o=[];return t.forEach(s=>{s.group==="optimizer"?o.push({name:s.name,tensor:e[s.name]}):n[s.name]=e[s.name]}),{modelWeights:n,optimizerWeights:o}}var Ui=class extends Mn{constructor(t){if(super({inputs:[],outputs:[]}),t=t||{},this.trainable=!0,this.built=!1,this.name=t.name!=null?t.name:hu("sequential_"),t.layers!=null)for(let e of t.layers)this.add(e)}checkShape(t){if(t.inboundNodes[0].outputTensors[0].shape.some(n=>n<0))throw new z(`Negative dimension size caused by adding layer ${t.name} with input shape [${t.inboundNodes[0].inputTensors[0].shape}]`)}add(t){let e=t instanceof Ui||t instanceof Mn,n;if(e){if(n=t,n.outputs.length!==1)throw new z("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");if(n.inputs.length!==1)throw new z("All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.")}if(this.outputs.length===0){if(t.inboundNodes.length===0){if(t.batchInputShape==null)throw new z("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");let o=Ty({batchShape:t.batchInputShape,dtype:t.dtype,name:t.name+"_input"});t.apply(o)}if(e)this.outputs=n.outputs,this.inputs=n.inputs;else{if(t.inboundNodes.length!==1)throw new z(`A layer added to a Sequential model must not already be connected somewhere else. LayersModel received layer ${t.name} which has ${t.inboundNodes.length} pre-existing inbound connections.`);if(t.inboundNodes[0].outputTensors.length!==1)throw new z("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(t),this.outputs=[t.inboundNodes[0].outputTensors[0]],this.inputs=I0(this.outputs[0])}this.inboundNodes=[],new rl({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:Co(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(o=>o.shape),outputShapes:this.outputs[0].shape})}else{let o=t.apply(this.outputs[0]);if(Array.isArray(o))throw new TypeError("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(t),this.outputs=[o],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(t),this.built=!1}pop(){if(this.layers.length===0)throw new TypeError("There are no layers in the model.");if(this.layers.pop(),this.layers.length===0)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{let t=this.layers.length-1;this.layers[t].outboundNodes=[],this.outputs=[this.layers[t].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}}call(t,e){return this.model==null&&this.build(),this.model.call(t,e)}build(t){if(Jt(t),this.inputs.length===0||this.outputs.length===0)throw new TypeError("Sequential model cannot be built: model is empty. Add some layers first.");this.model=new Mn({inputs:this.inputs,outputs:this.outputs[0],name:this.name+"_model"}),this.model.trainable=this.trainable,this.supportsMasking=this.model.supportsMasking,this.inputLayers=this.model.inputLayers,this.inputLayersNodeIndices=this.model.inputLayersNodeIndices,this.inputLayersTensorIndices=this.model.inputLayersTensorIndices,this.outputLayers=this.model.outputLayers,this.outputLayersNodeIndices=this.model.outputLayersNodeIndices,this.outputLayersTensorIndices=this.model.outputLayersTensorIndices,this.nodesByDepth=this.model.nodesByDepth,this.containerNodes=this.model.containerNodes,this.outputNames=this.model.outputNames,this.inputNames=this.model.inputNames,this.built=!0}countParams(){return this.built||this.build(),super.countParams()}summary(t,e,n=console.log){this.built||this.build(),super.summary(t,e,n)}setWeights(t){this.model==null&&this.build(),this.model.setWeights(t)}evaluate(t,e,n={}){if(!this.built)throw new Ur("The model needs to be compiled before being used.");return this.model.evaluate(t,e,n)}async evaluateDataset(t,e){if(!this.built)throw new Ur("The model needs to be compiled before being used.");return this.model.evaluateDataset(t,e)}predict(t,e={}){return this.model==null&&this.build(),this.model.predict(t,e)}predictOnBatch(t){return this.model==null&&this.build(),this.model.predictOnBatch(t)}compile(t){this.build(),this.model.compile(t),this.optimizer_=this.model.optimizer,this.isOptimizerOwned=this.model.isOptimizerOwned,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames}get optimizer(){return this.model==null?void 0:this.model.optimizer}set optimizer(t){this.model.optimizer=t}async fit(t,e,n={}){if(!this.built)throw new Ur("The model needs to be compiled before being used.");return this.model.fit(t,e,n)}async fitDataset(t,e){if(!this.built)throw new Ur("The model needs to be compiled before being used.");return this.model.fitDataset(t,e)}async trainOnBatch(t,e){return this.model.trainOnBatch(t,e)}static fromConfig(t,e,n={},o=!1){let s,i={};if(e instanceof Array){if(e[0].className==null||e[0].className==="Merge")throw new z("Legacy serialization format not supported yet.");s=e}else y.assert(e.layers!=null,()=>"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field."),s=e.layers,delete e.layers,i=e;let a=new t(i);if(!(a instanceof Ui))throw new vt(`Sequential.fromConfig called on non-Sequential input: ${a}`);for(let u of s){let c=hn(u,void 0,o);o&&c.setFastWeightInitDuringBuild(!0),a.add(c)}return a}set stopTraining(t){if(this.model==null)throw new z("Cannot set the stopTraining property of a sequential model before it is compiled.");this.model.stopTraining=t}get stopTraining(){if(this.model==null)throw new z("Cannot get the stopTraining property of a sequential model before it is compiled.");return this.model.stopTraining}getConfig(){let t=[];for(let e of this.layers){let n={};n.className=e.getClassName(),n.config=e.getConfig(),t.push(n)}return{name:this.name,layers:t}}};Ui.className="Sequential";Q.registerClass(Ui);function R8(r){return new Mn(r)}function F8(r){return new Ui(r)}function O8(r,t){return t==null&&(t={}),cD(r,t)}function $0(r){return Ty(r)}function P8(r,t){dn.registerCallbackConstructor(r,t)}var Qr=class extends Q.Serializable{getConfig(){return{}}},jy=class extends Qr{apply(t,e=1){return _$(t,e)}};jy.className="elu";Q.registerClass(jy);var Xy=class extends Qr{apply(t){return cm(t)}};Xy.className="selu";Q.registerClass(Xy);var Yy=class extends Qr{apply(t){return Rr(t)}};Yy.className="relu";Q.registerClass(Yy);var Zy=class extends Qr{apply(t){return B(()=>Pi(6,Rr(t)))}};Zy.className="relu6";Q.registerClass(Zy);var Jy=class extends Qr{apply(t){return t}};Jy.className="linear";Q.registerClass(Jy);var Qy=class extends Qr{apply(t){return Xr(t)}};Qy.className="sigmoid";Q.registerClass(Qy);var tb=class extends Qr{apply(t){return $$(t)}};tb.className="hardSigmoid";Q.registerClass(tb);var eb=class extends Qr{apply(t){return Ms(t)}};eb.className="softplus";Q.registerClass(eb);var rb=class extends Qr{apply(t){return A$(t)}};rb.className="softsign";Q.registerClass(rb);var nb=class extends Qr{apply(t){return _i(t)}};nb.className="tanh";Q.registerClass(nb);var Hm=class extends Qr{apply(t,e=-1){return ou(t,e)}};Hm.className="softmax";Q.registerClass(Hm);var ob=class extends Qr{apply(t,e=-1){return om(t,e)}};ob.className="logSoftmax";Q.registerClass(ob);var sb=class extends Qr{apply(t,e=1){return B(()=>R(Xr(R(t,e)),t))}};sb.className="swish";Q.registerClass(sb);var ib=class extends Qr{apply(t){return B(()=>R(t,_i(Ms(t))))}};ib.className="mish";Q.registerClass(ib);function qs(r){return r.getClassName()}function D0(r,t={}){return Bi(r,Q.SerializationMap.getMap().classNameMap,t,"activation")}function Ks(r){if(r==null){let t={};return t.className="linear",t.config={},D0(t)}if(typeof r=="string"){let t={};return t.className=r,t.config={},D0(t)}else return r instanceof Qr?r:D0(r)}function R0(r){if(r!=null&&typeof r!="object")throw new Error(`Argument to L1L2 regularizer's constructor is expected to be an object, but received: ${r}`)}var ab=class extends Q.Serializable{},bu=class extends ab{constructor(t){super(),R0(t),this.l1=t==null||t.l1==null?.01:t.l1,this.l2=t==null||t.l2==null?.01:t.l2,this.hasL1=this.l1!==0,this.hasL2=this.l2!==0}apply(t){return B(()=>{let e=Ne([1]);return this.hasL1&&(e=X(e,ft(R(this.l1,Ee(t))))),this.hasL2&&(e=X(e,ft(R(this.l2,lc(t))))),D(e,[])})}getConfig(){return{l1:this.l1,l2:this.l2}}static fromConfig(t,e){return new t({l1:e.l1,l2:e.l2})}};bu.className="L1L2";Q.registerClass(bu);function fD(r){return R0(r),new bu({l1:r!=null?r.l1:null,l2:0})}function dD(r){return R0(r),new bu({l2:r!=null?r.l2:null,l1:0})}var pD={l1l2:"L1L2"};function me(r){return Im(r)}function mD(r,t={}){return Bi(r,Q.SerializationMap.getMap().classNameMap,t,"regularizer")}function be(r){if(r==null)return null;if(typeof r=="string"){let e={className:r in pD?pD[r]:r,config:{}};return mD(e)}else return r instanceof ab?r:mD(r)}var qm=class extends Rt{constructor(t){super(t==null?{}:t),this.supportsMasking=!0,t!=null&&(this.maxValue=t.maxValue)}call(t,e){t=At(t);let n=Rr(t);return this.maxValue!=null&&(n=Cr(n,0,this.maxValue)),n}computeOutputShape(t){return t}getConfig(){let t={maxValue:this.maxValue},e=super.getConfig();return Object.assign(t,e),t}};qm.className="ReLU";Q.registerClass(qm);var Km=class extends Rt{constructor(t){super(t==null?{}:t),this.DEFAULT_ALPHA=.3,t==null&&(t={}),this.alpha=t.alpha==null?this.DEFAULT_ALPHA:t.alpha}call(t,e){let n=At(t);return Zl(n,this.alpha)}computeOutputShape(t){return t}getConfig(){let t={alpha:this.alpha},e=super.getConfig();return Object.assign(t,e),t}};Km.className="LeakyReLU";Q.registerClass(Km);var jm=class extends Rt{constructor(t){if(super(t==null?{}:t),this.DEFAULT_ALPHA_INITIALIZER="zeros",t==null&&(t={}),this.supportsMasking=!0,this.alphaInitializer=de(t.alphaInitializer||this.DEFAULT_ALPHA_INITIALIZER),this.alphaRegularizer=be(t.alphaRegularizer),this.alphaConstraint=ze(t.alphaConstraint),t.sharedAxes==null)this.sharedAxes=null;else if(Array.isArray(t.sharedAxes))this.sharedAxes=t.sharedAxes;else if(typeof t.sharedAxes=="number")this.sharedAxes=[t.sharedAxes];else throw new z(`Expected sharedAxes to be a number or an array of numbers, but got ${t.sharedAxes}`)}build(t){t=Jt(t);let e=t.slice(1);if(this.sharedAxes!=null)for(let o of this.sharedAxes)e[o-1]=1;this.alpha=this.addWeight("alpha",e,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);let n={};if(this.sharedAxes!=null)for(let o=1;o(Re(t),t==="channelsFirst"?Ot(r,[0,2,3,1]):r))}function F0(r,t){return B(()=>(Re(t),t==="channelsFirst"?Ot(r,[0,2,3,4,1]):r))}function M8(r,t,e,n=1,o="valid",s,i=1){return B(()=>{if(s==null&&(s=pn()),Re(s),r.shape.length!==3)throw new z(`The input of a conv1dWithBias operation should be 3, but is ${r.shape.length} instead.`);if(t.shape.length!==3)throw new z(`The kernel for a conv1dWithBias operation should be 3, but is ${t.shape.length} instead`);if(e!=null&&e.shape.length!==1)throw new z(`The bias for a conv1dWithBias operation should be 1, but is ${t.shape.length} instead`);if(s==="channelsFirst"&&(r=Ot(r,[0,2,1])),o==="causal")throw new vt("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");let a=Jp(r,t,n,o==="same"?"same":"valid","NWC",i);return e!=null&&(a=mn(a,e)),a})}function hD(r,t,e,n=[1,1],o="valid",s,i,a=null){return B(()=>{if(s==null&&(s=pn()),Re(s),r.rank!==3&&r.rank!==4)throw new z(`conv2dWithBiasActivation expects input to be of rank 3 or 4, but received ${r.rank}.`);if(t.rank!==3&&t.rank!==4)throw new z(`conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received ${r.rank}.`);let u=Nh(r,s);if(o==="causal")throw new vt("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return u=au.conv2d({x:u,filter:t,strides:n,pad:o==="same"?"same":"valid",dilations:i,dataFormat:"NHWC",bias:e,activation:a}),s==="channelsFirst"&&(u=Ot(u,[0,3,1,2])),u})}function z8(r,t,e,n=[1,1,1],o="valid",s,i){return B(()=>{if(s==null&&(s=pn()),Re(s),r.rank!==4&&r.rank!==5)throw new z(`conv3dWithBias expects input to be of rank 4 or 5, but received ${r.rank}.`);if(t.rank!==4&&t.rank!==5)throw new z(`conv3dWithBias expects kernel to be of rank 4 or 5, but received ${r.rank}.`);let a=F0(r,s);if(o==="causal")throw new vt("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return a=Cx(a,t,n,o==="same"?"same":"valid","NDHWC",i),e!=null&&(a=mn(a,e)),s==="channelsFirst"&&(a=Ot(a,[0,4,1,2,3])),a})}var bc=class extends Rt{constructor(t,e){if(super(e),this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",bc.verifyArgs(e),this.rank=t,Ze(this.rank,"rank"),this.rank!==1&&this.rank!==2&&this.rank!==3)throw new vt(`Convolution layer for rank other than 1, 2, or 3 (${this.rank}) is not implemented yet.`);if(this.kernelSize=wu(e.kernelSize,t,"kernelSize"),this.strides=wu(e.strides==null?1:e.strides,t,"strides"),this.padding=e.padding==null?"valid":e.padding,cn(this.padding),this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Re(this.dataFormat),this.activation=Ks(e.activation),this.useBias=e.useBias==null?!0:e.useBias,this.biasInitializer=de(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.biasConstraint=ze(e.biasConstraint),this.biasRegularizer=be(e.biasRegularizer),this.activityRegularizer=be(e.activityRegularizer),this.dilationRate=wu(e.dilationRate==null?1:e.dilationRate,t,"dilationRate"),this.rank===1&&Array.isArray(this.dilationRate)&&this.dilationRate.length!==1)throw new z(`dilationRate must be a number or an array of a single number for 1D convolution, but received ${JSON.stringify(this.dilationRate)}`);if(this.rank===2){if(typeof this.dilationRate=="number")this.dilationRate=[this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==2)throw new z(`dilationRate must be a number or array of two numbers for 2D convolution, but received ${JSON.stringify(this.dilationRate)}`)}else if(this.rank===3){if(typeof this.dilationRate=="number")this.dilationRate=[this.dilationRate,this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==3)throw new z(`dilationRate must be a number or array of three numbers for 3D convolution, but received ${JSON.stringify(this.dilationRate)}`)}}static verifyArgs(t){if(eo("kernelSize"in t,"required key 'kernelSize' not in config"),typeof t.kernelSize!="number"&&!gy(t.kernelSize,"number",1,3))throw new z(`BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received ${JSON.stringify(t.kernelSize)}.`)}getConfig(){let t={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:qs(this.activation),useBias:this.useBias,biasInitializer:ke(this.biasInitializer),biasRegularizer:me(this.biasRegularizer),activityRegularizer:me(this.activityRegularizer),biasConstraint:Me(this.biasConstraint)},e=super.getConfig();return Object.assign(t,e),t}},Cu=class extends bc{constructor(t,e){super(t,e),this.kernel=null,Cu.verifyArgs(e),this.filters=e.filters,Ze(this.filters,"filters"),this.kernelInitializer=de(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.kernelConstraint=ze(e.kernelConstraint),this.kernelRegularizer=be(e.kernelRegularizer)}build(t){t=Jt(t);let e=this.dataFormat==="channelsFirst"?1:t.length-1;if(t[e]==null)throw new z(`The channel dimension of the input should be defined. Found ${t[e]}`);let n=t[e],o=this.kernelSize.concat([n,this.filters]);this.kernel=this.addWeight("kernel",o,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:{[e]:n}}],this.built=!0}call(t,e){return B(()=>{t=At(t);let n,o=this.bias==null?null:this.bias.read(),s=xy(this.activation.getClassName());if(s!=null&&this.rank===2)n=hD(t,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate,s);else{if(this.rank===1)n=M8(t,this.kernel.read(),o,this.strides[0],this.padding,this.dataFormat,this.dilationRate[0]);else if(this.rank===2)n=hD(t,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate);else if(this.rank===3)n=z8(t,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate);else throw new vt("convolutions greater than 3D are not implemented yet.");this.activation!=null&&(n=this.activation.apply(n))}return n})}computeOutputShape(t){t=Jt(t);let e=[],n=this.dataFormat==="channelsLast"?t.slice(1,t.length-1):t.slice(2);for(let s=0;s 0 but got ${JSON.stringify(t.filters)}`)}},ol=class extends Cu{constructor(t){super(2,t),ol.verifyArgs(t)}getConfig(){let t=super.getConfig();return delete t.rank,t}static verifyArgs(t){if(typeof t.kernelSize!="number"&&!gy(t.kernelSize,"number",1,2))throw new z(`Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received ${JSON.stringify(t.kernelSize)}.`)}};ol.className="Conv2D";Q.registerClass(ol);var sl=class extends Cu{constructor(t){super(3,t),sl.verifyArgs(t)}getConfig(){let t=super.getConfig();return delete t.rank,t}static verifyArgs(t){if(typeof t.kernelSize!="number"&&!(Array.isArray(t.kernelSize)&&(t.kernelSize.length===1||t.kernelSize.length===3)))throw new z(`Conv3D expects config.kernelSize to be number or [number, number, number], but received ${JSON.stringify(t.kernelSize)}.`)}};sl.className="Conv3D";Q.registerClass(sl);var Jm=class extends ol{constructor(t){if(super(t),this.inputSpec=[new ye({ndim:4})],this.padding!=="same"&&this.padding!=="valid")throw new z(`Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(t){if(t=Jt(t),t.length!==4)throw new z("Input should have rank 4; Received input shape: "+JSON.stringify(t));let e=this.dataFormat==="channelsFirst"?1:t.length-1;if(t[e]==null)throw new z("The channel dimension of the inputs should be defined. Found `None`.");let n=t[e],o=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",o,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new ye({ndim:4,axes:{[e]:n}})],this.built=!0}call(t,e){return B(()=>{let n=At(t);if(n.shape.length!==4)throw new z(`Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let o=n.shape,s=o[0],i,a;this.dataFormat==="channelsFirst"?(i=2,a=3):(i=1,a=2);let u=o[i],l=o[a],c=this.kernelSize[0],p=this.kernelSize[1],m=this.strides[0],f=this.strides[1],d=js(u,m,c,this.padding),h=js(l,f,p,this.padding),g=[s,d,h,this.filters];this.dataFormat!=="channelsLast"&&(n=Ot(n,[0,2,3,1]));let x=tm(n,this.kernel.read(),g,this.strides,this.padding);return this.dataFormat!=="channelsLast"&&(x=Ot(x,[0,3,1,2])),this.bias!=null&&(x=mn(x,this.bias.read(),this.dataFormat)),this.activation!=null&&(x=this.activation.apply(x)),x})}computeOutputShape(t){t=Jt(t);let e=t.slice(),n,o,s;this.dataFormat==="channelsFirst"?(n=1,o=2,s=3):(n=3,o=1,s=2);let i=this.kernelSize[0],a=this.kernelSize[1],u=this.strides[0],l=this.strides[1];return e[n]=this.filters,e[o]=js(e[o],u,i,this.padding),e[s]=js(e[s],l,a,this.padding),e}getConfig(){let t=super.getConfig();return delete t.dilationRate,t}};Jm.className="Conv2DTranspose";Q.registerClass(Jm);var Qm=class extends sl{constructor(t){if(super(t),this.inputSpec=[new ye({ndim:5})],this.padding!=="same"&&this.padding!=="valid")throw new z(`Conv3DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(t){if(t=Jt(t),t.length!==5)throw new z("Input should have rank 5; Received input shape: "+JSON.stringify(t));let e=this.dataFormat==="channelsFirst"?1:t.length-1;if(t[e]==null)throw new z("The channel dimension of the inputs should be defined. Found `None`.");let n=t[e],o=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",o,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new ye({ndim:5,axes:{[e]:n}})],this.built=!0}call(t,e){return B(()=>{let n=At(t);if(n.shape.length!==5)throw new z(`Conv3DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let o=n.shape,s=o[0],i,a,u;this.dataFormat==="channelsFirst"?(u=2,i=3,a=4):(u=1,i=2,a=3);let l=o[u],c=o[i],p=o[a],m=this.kernelSize[0],f=this.kernelSize[1],d=this.kernelSize[2],h=this.strides[0],g=this.strides[1],x=this.strides[2],b=js(l,h,m,this.padding),w=js(c,g,f,this.padding),C=js(p,x,d,this.padding),N=[s,b,w,C,this.filters];this.dataFormat!=="channelsLast"&&(n=Ot(n,[0,2,3,4,1]));let _=vx(n,this.kernel.read(),N,this.strides,this.padding);return this.dataFormat!=="channelsLast"&&(_=Ot(_,[0,4,1,2,3])),this.bias!==null&&(_=mn(_,this.bias.read(),this.dataFormat)),this.activation!==null&&(_=this.activation.apply(_)),_})}computeOutputShape(t){t=Jt(t);let e=t.slice(),n,o,s,i;this.dataFormat==="channelsFirst"?(n=1,o=2,s=3,i=4):(n=4,o=1,s=2,i=3);let a=this.kernelSize[0],u=this.kernelSize[1],l=this.kernelSize[2],c=this.strides[0],p=this.strides[1],m=this.strides[2];return e[n]=this.filters,e[o]=js(e[o],c,a,this.padding),e[s]=js(e[s],p,u,this.padding),e[i]=js(e[i],m,l,this.padding),e}getConfig(){let t=super.getConfig();return delete t.dilationRate,t}};Qm.className="Conv3DTranspose";Q.registerClass(Qm);var lb=class extends Cu{constructor(t,e){if(super(t,e),this.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",this.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",this.depthwiseKernel=null,this.pointwiseKernel=null,e.filters==null)throw new z("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(e.kernelInitializer!=null||e.kernelRegularizer!=null||e.kernelConstraint!=null)throw new z("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(e.padding!=null&&e.padding!=="same"&&e.padding!=="valid")throw new z(`SeparableConv${this.rank}D supports only padding modes: 'same' and 'valid', but received ${JSON.stringify(e.padding)}`);this.depthMultiplier=e.depthMultiplier==null?1:e.depthMultiplier,this.depthwiseInitializer=de(e.depthwiseInitializer||this.DEFAULT_DEPTHWISE_INITIALIZER),this.depthwiseRegularizer=be(e.depthwiseRegularizer),this.depthwiseConstraint=ze(e.depthwiseConstraint),this.pointwiseInitializer=de(e.depthwiseInitializer||this.DEFAULT_POINTWISE_INITIALIZER),this.pointwiseRegularizer=be(e.pointwiseRegularizer),this.pointwiseConstraint=ze(e.pointwiseConstraint)}build(t){if(t=Jt(t),t.length{t=At(t);let n;if(this.rank===1)throw new vt("1D separable convolution is not implemented yet.");return this.rank===2&&(this.dataFormat==="channelsFirst"&&(t=Ot(t,[0,2,3,1])),n=pm(t,this.depthwiseKernel.read(),this.pointwiseKernel.read(),this.strides,this.padding,this.dilationRate,"NHWC")),this.useBias&&(n=mn(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),this.dataFormat==="channelsFirst"&&(n=Ot(n,[0,3,1,2])),n})}getConfig(){let t=super.getConfig();return delete t.rank,delete t.kernelInitializer,delete t.kernelRegularizer,delete t.kernelConstraint,t.depthwiseInitializer=ke(this.depthwiseInitializer),t.pointwiseInitializer=ke(this.pointwiseInitializer),t.depthwiseRegularizer=me(this.depthwiseRegularizer),t.pointwiseRegularizer=me(this.pointwiseRegularizer),t.depthwiseConstraint=Me(this.depthwiseConstraint),t.pointwiseConstraint=Me(this.pointwiseConstraint),t}};lb.className="SeparableConv";var tf=class extends lb{constructor(t){super(2,t)}};tf.className="SeparableConv2D";Q.registerClass(tf);var Iu=class extends Cu{constructor(t){super(1,t),Iu.verifyArgs(t),this.inputSpec=[{ndim:3}]}getConfig(){let t=super.getConfig();return delete t.rank,delete t.dataFormat,t}static verifyArgs(t){if(typeof t.kernelSize!="number"&&!gy(t.kernelSize,"number",1,1))throw new z(`Conv1D expects config.kernelSize to be number or number[] with length 1, but received ${JSON.stringify(t.kernelSize)}.`)}};Iu.className="Conv1D";Q.registerClass(Iu);var ef=class extends Rt{constructor(t){super(t),typeof t.cropping=="number"?this.cropping=[[t.cropping,t.cropping],[t.cropping,t.cropping]]:typeof t.cropping[0]=="number"?this.cropping=[[t.cropping[0],t.cropping[0]],[t.cropping[1],t.cropping[1]]]:this.cropping=t.cropping,this.dataFormat=t.dataFormat===void 0?"channelsLast":t.dataFormat,this.inputSpec=[{ndim:4}]}computeOutputShape(t){return this.dataFormat==="channelsFirst"?[t[0],t[1],t[2]-this.cropping[0][0]-this.cropping[0][1],t[3]-this.cropping[1][0]-this.cropping[1][1]]:[t[0],t[1]-this.cropping[0][0]-this.cropping[0][1],t[2]-this.cropping[1][0]-this.cropping[1][1],t[3]]}call(t,e){return B(()=>{if(t=At(t),this.dataFormat==="channelsLast"){let n=hh(t,this.cropping[0][0],t.shape[1]-this.cropping[0][0]-this.cropping[0][1],2);return hh(n,this.cropping[1][0],t.shape[2]-this.cropping[1][1]-this.cropping[1][0],3)}else{let n=hh(t,this.cropping[0][0],t.shape[2]-this.cropping[0][0]-this.cropping[0][1],3);return hh(n,this.cropping[1][0],t.shape[3]-this.cropping[1][1]-this.cropping[1][0],4)}})}getConfig(){let t={cropping:this.cropping,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}};ef.className="Cropping2D";Q.registerClass(ef);var rf=class extends Rt{constructor(t){super(t),this.DEFAULT_SIZE=[2,2],this.inputSpec=[{ndim:4}],this.size=t.size==null?this.DEFAULT_SIZE:t.size,this.dataFormat=t.dataFormat==null?"channelsLast":t.dataFormat,Re(this.dataFormat),this.interpolation=t.interpolation==null?"nearest":t.interpolation,v$(this.interpolation)}computeOutputShape(t){if(this.dataFormat==="channelsFirst"){let e=t[2]==null?null:this.size[0]*t[2],n=t[3]==null?null:this.size[1]*t[3];return[t[0],t[1],e,n]}else{let e=t[1]==null?null:this.size[0]*t[1],n=t[2]==null?null:this.size[1]*t[2];return[t[0],e,n,t[3]]}}call(t,e){return B(()=>{let n=At(t),o=n.shape;if(this.dataFormat==="channelsFirst"){n=Ot(n,[0,2,3,1]);let s=this.size[0]*o[2],i=this.size[1]*o[3],a=this.interpolation==="nearest"?lu.resizeNearestNeighbor(n,[s,i]):lu.resizeBilinear(n,[s,i]);return Ot(a,[0,3,1,2])}else{let s=this.size[0]*o[1],i=this.size[1]*o[2];return this.interpolation==="nearest"?lu.resizeNearestNeighbor(n,[s,i]):lu.resizeBilinear(n,[s,i])}})}getConfig(){let t={size:this.size,dataFormat:this.dataFormat,interpolation:this.interpolation},e=super.getConfig();return Object.assign(t,e),t}};rf.className="UpSampling2D";Q.registerClass(rf);function B8(r,t,e=[1,1],n="valid",o,s){return B(()=>{o==null&&(o=pn()),Re(o);let i=Nh(r,o);if(r.rank!==4)throw new z(`Input for depthwiseConv2d is required to be 4-D, but is instead ${r.rank}-D`);if(t.rank!==4)throw new z(`depthwiseKernel is required to be 4-D, but is instead ${t.rank}-D`);return i=Di(i,t,e,n==="same"?"same":"valid","NHWC",s),o==="channelsFirst"&&(i=Ot(i,[0,3,1,2])),i})}var nf=class extends bc{constructor(t){super(2,t),this.depthwiseKernel=null,this.depthMultiplier=t.depthMultiplier==null?1:t.depthMultiplier,this.depthwiseInitializer=de(t.depthwiseInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.depthwiseConstraint=ze(t.depthwiseConstraint),this.depthwiseRegularizer=be(t.depthwiseRegularizer)}build(t){if(t=Jt(t),t.length<4)throw new z(`Inputs to DepthwiseConv2D should have rank 4. Received input shape: ${JSON.stringify(t)}.`);let e=this.dataFormat==="channelsFirst"?1:3;if(t[e]==null||t[e]<0)throw new z(`The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not (${t[e]}).`);let n=t[e],o=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",o,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(t,e){return B(()=>{t=At(t);let n=B8(t,this.depthwiseKernel.read(),this.strides,this.padding,this.dataFormat,null);return this.useBias&&(n=mn(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),n})}computeOutputShape(t){t=Jt(t);let e=this.dataFormat==="channelsFirst"?t[2]:t[1],n=this.dataFormat==="channelsFirst"?t[3]:t[2],o=this.dataFormat==="channelsFirst"?t[1]*this.depthMultiplier:t[3]*this.depthMultiplier,s=Sn(e,this.kernelSize[0],this.padding,this.strides[0]),i=Sn(n,this.kernelSize[1],this.padding,this.strides[1]);return this.dataFormat==="channelsFirst"?[t[0],o,s,i]:[t[0],s,i,o]}getConfig(){let t=super.getConfig();return t.depthMultiplier=this.depthMultiplier,t.depthwiseInitializer=ke(this.depthwiseInitializer),t.depthwiseRegularizer=me(this.depthwiseRegularizer),t.depthwiseConstraint=Me(this.depthwiseRegularizer),t}};nf.className="DepthwiseConv2D";Q.registerClass(nf);function O0(r,t,e,n){if(Array.isArray(r)){if(t!=null||e!=null)throw new z("When inputs is an array, neither initialState or constants should be provided");n!=null&&(e=r.slice(r.length-n,r.length),r=r.slice(0,r.length-n)),r.length>1&&(t=r.slice(1,r.length)),r=r[0]}function o(s){return s==null||Array.isArray(s)?s:[s]}return t=o(t),e=o(e),{inputs:r,initialState:t,constants:e}}function P0(r,t,e,n=!1,o,s,i=!1,a=!1){return B(()=>{let u=t.shape.length;if(u<3)throw new z(`Input should be at least 3D, but is ${u}D.`);let l=[1,0].concat(Yr(2,u));if(t=Ot(t,l),s!=null)throw new vt("The rnn() functoin of the deeplearn.js backend does not support constants yet.");i&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),o!=null&&(o=J(J(o,"bool"),"float32"),o.rank===u-1&&(o=gr(o,-1)),o=Ot(o,l)),n&&(t=ur(t,0),o!=null&&(o=ur(o,0)));let c=[],p,m=e,f=t.shape[0],d=vr(t),h;o!=null&&(h=vr(o));for(let x=0;xr(b,m));if(o==null)p=w[0],m=w[1];else{let C=B(()=>{let N=h[x],_=ct(xr(N),N),A=X(R(w[0],N),R(m[0],_)),$=m.map((F,P)=>X(R(w[1][P],N),R(F,_)));return{output:A,newStates:$}});p=C.output,m=C.newStates}a&&c.push(p)}let g;return a&&(g=rr(c,1)),[p,g,m]})}var Nn=class extends Rt{constructor(t){super(t);let e;if(t.cell==null)throw new z("cell property is missing for the constructor of RNN.");if(Array.isArray(t.cell)?e=new Ic({cells:t.cell}):e=t.cell,e.stateSize==null)throw new z("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");this.cell=e,this.returnSequences=t.returnSequences==null?!1:t.returnSequences,this.returnState=t.returnState==null?!1:t.returnState,this.goBackwards=t.goBackwards==null?!1:t.goBackwards,this._stateful=t.stateful==null?!1:t.stateful,this.unroll=t.unroll==null?!1:t.unroll,this.supportsMasking=!0,this.inputSpec=[new ye({ndim:3})],this.stateSpec=null,this.states_=null,this.numConstants=null,this.keptStates=[]}getStates(){if(this.states_==null){let t=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;return Yr(0,t).map(e=>null)}else return this.states_}setStates(t){this.states_=t}computeOutputShape(t){ky(t)&&(t=t[0]),t=t;let e=this.cell.stateSize;Array.isArray(e)||(e=[e]);let n=e[0],o;if(this.returnSequences?o=[t[0],t[1],n]:o=[t[0],n],this.returnState){let s=[];for(let i of e)s.push([t[0],i]);return[o].concat(s)}else return o}computeMask(t,e){return B(()=>{Array.isArray(e)&&(e=e[0]);let n=this.returnSequences?e:null;if(this.returnState){let o=this.states.map(s=>null);return[n].concat(o)}else return n})}get states(){if(this.states_==null){let t=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,e=[];for(let n=0;na.shape[a.shape.length-1]),i))throw new z(`An initialState was passed that is not compatible with cell.stateSize. Received stateSpec=${this.stateSpec}; However cell.stateSize is ${this.cell.stateSize}`)}else this.stateSpec=i.map(a=>new ye({shape:[null,a]}));this.stateful&&this.resetStates()}resetStates(t,e=!1){B(()=>{if(!this.stateful)throw new vn("Cannot call resetStates() on an RNN Layer that is not stateful.");let n=this.inputSpec[0].shape[0];if(n==null)throw new z("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(this.states_==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(o=>Ne([n,o])):this.states_=[Ne([n,this.cell.stateSize])];else if(t==null)St(this.states_),this.keptStates!=null&&(St(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(o=>Ne([n,o])):this.states_[0]=Ne([n,this.cell.stateSize]);else{if(Array.isArray(t)||(t=[t]),t.length!==this.states_.length)throw new z(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${t.length} state value(s). Input received: ${t}`);e===!0?this.keptStates.push(this.states_.slice()):St(this.states_);for(let o=0;oDe(o.clone()))})}apply(t,e){let n=e==null?null:e.initialState,o=e==null?null:e.constants;e==null&&(e={});let s=O0(t,n,o,this.numConstants);t=s.inputs,n=s.initialState,o=s.constants;let i=[],a=[];if(n!=null){e.initialState=n,i=i.concat(n),this.stateSpec=[];for(let l of n)this.stateSpec.push(new ye({shape:l.shape}));a=a.concat(this.stateSpec)}if(o!=null&&(e.constants=o,i=i.concat(o),this.numConstants=o.length),i[0]instanceof Jr){let l=[t].concat(i),c=this.inputSpec.concat(a),p=this.inputSpec;this.inputSpec=c;let m=super.apply(l,e);return this.inputSpec=p,m}else return super.apply(t,e)}call(t,e){return B(()=>{let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;t=At(t),s==null&&(this.stateful?s=this.states_:s=this.getInitialState(t));let i=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;if(s.length!==i)throw new z(`RNN Layer has ${i} state(s) but was passed ${s.length} initial state(s).`);this.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");let a={training:o},l=P0((d,h)=>{let g=this.cell.call([d].concat(h),a);return[g[0],g.slice(1)]},t,s,this.goBackwards,n,null,this.unroll,this.returnSequences),c=l[0],p=l[1],m=l[2];this.stateful&&this.resetStates(m,o);let f=this.returnSequences?p:c;return this.returnState?[f].concat(m):f})}getInitialState(t){return B(()=>{let e=Ne(t.shape);return e=ft(e,[1,2]),e=el(e),Array.isArray(this.cell.stateSize)?this.cell.stateSize.map(n=>n>1?vy(e,[1,n]):e):this.cell.stateSize>1?[vy(e,[1,this.cell.stateSize])]:[e]})}get trainableWeights(){return this.trainable?this.cell.trainableWeights:[]}get nonTrainableWeights(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}setFastWeightInitDuringBuild(t){super.setFastWeightInitDuringBuild(t),this.cell!=null&&this.cell.setFastWeightInitDuringBuild(t)}getConfig(){let t=super.getConfig(),e={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};this.numConstants!=null&&(e.numConstants=this.numConstants);let n=this.cell.getConfig();return this.getClassName()===Nn.className&&(e.cell={className:this.cell.getClassName(),config:n}),Object.assign({},n,t,e)}static fromConfig(t,e,n={}){let o=e.cell,s=hn(o,n);return new t(Object.assign(e,{cell:s}))}};Nn.className="RNN";Q.registerClass(Nn);var il=class extends Rt{},wc=class extends il{constructor(t){super(t),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=t.units,Ze(this.units,"units"),this.activation=Ks(t.activation==null?this.DEFAULT_ACTIVATION:t.activation),this.useBias=t.useBias==null?!0:t.useBias,this.kernelInitializer=de(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=de(t.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=de(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=be(t.kernelRegularizer),this.recurrentRegularizer=be(t.recurrentRegularizer),this.biasRegularizer=be(t.biasRegularizer),this.kernelConstraint=ze(t.kernelConstraint),this.recurrentConstraint=ze(t.recurrentConstraint),this.biasConstraint=ze(t.biasConstraint),this.dropout=ac([1,Us([0,t.dropout==null?0:t.dropout])]),this.recurrentDropout=ac([1,Us([0,t.recurrentDropout==null?0:t.recurrentDropout])]),this.dropoutFunc=t.dropoutFunc,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(t){t=Jt(t),this.kernel=this.addWeight("kernel",[t[t.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(t,e){return B(()=>{if(t=t,t.length!==2)throw new z(`SimpleRNNCell expects 2 input Tensors, got ${t.length}.`);let n=t[1];t=t[0];let o=e.training==null?!1:e.training;0xr(t),rate:this.dropout,training:o,dropoutFunc:this.dropoutFunc})),0xr(n),rate:this.recurrentDropout,training:o,dropoutFunc:this.dropoutFunc}));let s,i=this.dropoutMask,a=this.recurrentDropoutMask;i!=null?s=No(R(t,i),this.kernel.read()):s=No(t,this.kernel.read()),this.bias!=null&&(s=mn(s,this.bias.read())),a!=null&&(n=R(n,a));let u=X(s,No(n,this.recurrentKernel.read()));return this.activation!=null&&(u=this.activation.apply(u)),[u,u]})}getConfig(){let t=super.getConfig(),e={units:this.units,activation:qs(this.activation),useBias:this.useBias,kernelInitializer:ke(this.kernelInitializer),recurrentInitializer:ke(this.recurrentInitializer),biasInitializer:ke(this.biasInitializer),kernelRegularizer:me(this.kernelRegularizer),recurrentRegularizer:me(this.recurrentRegularizer),biasRegularizer:me(this.biasRegularizer),activityRegularizer:me(this.activityRegularizer),kernelConstraint:Me(this.kernelConstraint),recurrentConstraint:Me(this.recurrentConstraint),biasConstraint:Me(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign({},t,e)}};wc.className="SimpleRNNCell";Q.registerClass(wc);var of=class extends Nn{constructor(t){t.cell=new wc(t),super(t)}call(t,e){return B(()=>{this.cell.dropoutMask!=null&&(St(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(St(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;return super.call(t,{mask:n,training:o,initialState:s})})}static fromConfig(t,e){return new t(e)}};of.className="SimpleRNN";Q.registerClass(of);var Cc=class extends il{constructor(t){if(super(t),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",t.resetAfter)throw new z("GRUCell does not support reset_after parameter set to true.");this.units=t.units,Ze(this.units,"units"),this.activation=Ks(t.activation===void 0?this.DEFAULT_ACTIVATION:t.activation),this.recurrentActivation=Ks(t.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),this.useBias=t.useBias==null?!0:t.useBias,this.kernelInitializer=de(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=de(t.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=de(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=be(t.kernelRegularizer),this.recurrentRegularizer=be(t.recurrentRegularizer),this.biasRegularizer=be(t.biasRegularizer),this.kernelConstraint=ze(t.kernelConstraint),this.recurrentConstraint=ze(t.recurrentConstraint),this.biasConstraint=ze(t.biasConstraint),this.dropout=ac([1,Us([0,t.dropout==null?0:t.dropout])]),this.recurrentDropout=ac([1,Us([0,t.recurrentDropout==null?0:t.recurrentDropout])]),this.dropoutFunc=t.dropoutFunc,this.implementation=t.implementation,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(t){t=Jt(t);let e=t[t.length-1];this.kernel=this.addWeight("kernel",[e,this.units*3],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*3],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units*3],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(t,e){return B(()=>{if(t=t,t.length!==2)throw new z(`GRUCell expects 2 input Tensors (inputs, h, c), got ${t.length}.`);let n=e.training==null?!1:e.training,o=t[1];t=t[0],0xr(t),rate:this.dropout,training:n,count:3,dropoutFunc:this.dropoutFunc})),0xr(o),rate:this.recurrentDropout,training:n,count:3,dropoutFunc:this.dropoutFunc}));let s=this.dropoutMask,i=this.recurrentDropoutMask,a,u,l;0{this.cell.dropoutMask!=null&&(St(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(St(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;return super.call(t,{mask:n,training:o,initialState:s})})}static fromConfig(t,e){return e.implmentation===0&&(e.implementation=1),new t(e)}};sf.className="GRU";Q.registerClass(sf);var al=class extends il{constructor(t){super(t),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=t.units,Ze(this.units,"units"),this.activation=Ks(t.activation===void 0?this.DEFAULT_ACTIVATION:t.activation),this.recurrentActivation=Ks(t.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),this.useBias=t.useBias==null?!0:t.useBias,this.kernelInitializer=de(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=de(t.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=de(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.unitForgetBias=t.unitForgetBias,this.kernelRegularizer=be(t.kernelRegularizer),this.recurrentRegularizer=be(t.recurrentRegularizer),this.biasRegularizer=be(t.biasRegularizer),this.kernelConstraint=ze(t.kernelConstraint),this.recurrentConstraint=ze(t.recurrentConstraint),this.biasConstraint=ze(t.biasConstraint),this.dropout=ac([1,Us([0,t.dropout==null?0:t.dropout])]),this.recurrentDropout=ac([1,Us([0,t.recurrentDropout==null?0:t.recurrentDropout])]),this.dropoutFunc=t.dropoutFunc,this.implementation=t.implementation,this.stateSize=[this.units,this.units],this.dropoutMask=null,this.recurrentDropoutMask=null}build(t){var e;t=Jt(t);let n=t[t.length-1];this.kernel=this.addWeight("kernel",[n,this.units*4],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*4],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint);let o;if(this.useBias){if(this.unitForgetBias){let s=this.biasInitializer,i=this.units;o=new(e=class extends fn{apply(u,l){let c=s.apply([i]),p=new xu().apply([i]),m=s.apply([i*2]);return C0(C0(c,p),m)}},e.className="CustomInit",e)}else o=this.biasInitializer;this.bias=this.addWeight("bias",[this.units*4],null,o,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0}call(t,e){return B(()=>{let n=e.training==null?!1:e.training;if(t=t,t.length!==3)throw new z(`LSTMCell expects 3 input Tensors (inputs, h, c), got ${t.length}.`);let o=t[1],s=t[2];t=t[0],0xr(t),rate:this.dropout,training:n,count:4,dropoutFunc:this.dropoutFunc})),0xr(o),rate:this.recurrentDropout,training:n,count:4,dropoutFunc:this.dropoutFunc}));let i=this.dropoutMask,a=this.recurrentDropoutMask,u,l,c,p;0{this.cell.dropoutMask!=null&&(St(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(St(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;return super.call(t,{mask:n,training:o,initialState:s})})}static fromConfig(t,e){return e.implmentation===0&&(e.implementation=1),new t(e)}};af.className="LSTM";Q.registerClass(af);var Ic=class extends il{constructor(t){super(t),this.cells=t.cells}get stateSize(){let t=[];for(let e of this.cells.slice().reverse())Array.isArray(e.stateSize)?t.push(...e.stateSize):t.push(e.stateSize);return t}call(t,e){return B(()=>{t=t;let n=t.slice(1),o=[];for(let a of this.cells.slice().reverse())Array.isArray(a.stateSize)?o.push(n.splice(0,a.stateSize.length)):o.push(n.splice(0,1));o.reverse();let s=[],i;for(let a=0;a{Ws(`RNNCell_${o}`,()=>{n.build(t),Array.isArray(n.stateSize)?e=n.stateSize[0]:e=n.stateSize,t=[t[0],e]})}),this.built=!0}getConfig(){let t=super.getConfig(),e=s=>({className:s.getClassName(),config:s.getConfig()}),o={cells:this.cells.map(e)};return Object.assign({},t,o)}static fromConfig(t,e,n={}){let o=[];for(let s of e.cells)o.push(hn(s,n));return new t({cells:o})}get trainableWeights(){if(!this.trainable)return[];let t=[];for(let e of this.cells)t.push(...e.trainableWeights);return t}get nonTrainableWeights(){let t=[];for(let e of this.cells)t.push(...e.nonTrainableWeights);if(!this.trainable){let e=[];for(let n of this.cells)e.push(...n.trainableWeights);return e.concat(t)}return t}getWeights(){let t=[];for(let e of this.cells)t.push(...e.weights);return xh(t)}setWeights(t){let e=[];for(let n of this.cells){let o=n.weights.length,s=t.splice(o);for(let i=0;is!=null?s(t(),e):Ny(t(),e),a=()=>gu(i,t,n);return!o||o<=1?De(a().clone()):Array(o).fill(void 0).map(a).map(l=>De(l.clone()))}var V8=function(r,t){var e={};for(var n in r)Object.prototype.hasOwnProperty.call(r,n)&&t.indexOf(n)<0&&(e[n]=r[n]);if(r!=null&&typeof Object.getOwnPropertySymbols=="function")for(var o=0,n=Object.getOwnPropertySymbols(r);o{if(this.cell.dropoutMask!=null&&(St(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(St(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null),e&&e.constants)throw new z("ConvRNN2D cell does not support constants");let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;return super.call(t,{mask:n,training:o,initialState:s})})}computeOutputShape(t){let e=this.computeSingleOutputShape(t);return this.returnSequences||(e=[e[0],...e.slice(2)]),this.returnState&&(e=[e,...Array(2).fill([t[0],...e.slice(-3)])]),e}getInitialState(t){return B(()=>{let{stateSize:e}=this.cell,n=t.shape,o=this.computeSingleOutputShape(n),s=[o[0],...o.slice(2)],i=Ne(s);return Array.isArray(e)?Array(e.length).fill(i):[i]})}resetStates(t,e=!1){B(()=>{if(!this.stateful)throw new vn("Cannot call resetStates() on an RNN Layer that is not stateful.");let n=this.inputSpec[0].shape,o=this.computeSingleOutputShape(n),s=[o[0],...o.slice(2)];if(n[0]==null)throw new z("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(this.getStates()==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>Ne(s)):this.states_=[Ne(s)];else if(t==null)St(this.states_),this.keptStates!=null&&(St(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>Ne(s)):this.states_[0]=Ne(s);else{if(Array.isArray(t)||(t=[t]),t.length!==this.states_.length)throw new z(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${t.length} state value(s). Input received: ${t}`);e?this.keptStates.push(this.states_.slice()):St(this.states_);for(let a=0;aDe(a.clone()))})}computeSingleOutputShape(t){let{dataFormat:e,filters:n,kernelSize:o,padding:s,strides:i,dilationRate:a}=this.cell,u=e==="channelsFirst",l=t[u?3:2],c=t[u?4:3],p=Sn(l,o[0],s,i[0],a[0]),m=Sn(c,o[1],s,i[1],a[1]);return[...t.slice(0,2),...u?[n,p,m]:[p,m,n]]}};ub.className="ConvRNN2D";var vc=class extends al{constructor(t){let{filters:e,kernelSize:n,strides:o,padding:s,dataFormat:i,dilationRate:a}=t;super(Object.assign({},t,{units:e})),this.filters=e,Ze(this.filters,"filters"),this.kernelSize=wu(n,2,"kernelSize"),this.kernelSize.forEach(u=>Ze(u,"kernelSize")),this.strides=wu(o||1,2,"strides"),this.strides.forEach(u=>Ze(u,"strides")),this.padding=s||"valid",cn(this.padding),this.dataFormat=i||"channelsLast",Re(this.dataFormat),this.dilationRate=wu(a||1,2,"dilationRate"),this.dilationRate.forEach(u=>Ze(u,"dilationRate"))}build(t){var e;t=Jt(t);let n=this.dataFormat==="channelsFirst"?1:t.length-1;if(t[n]==null)throw new z(`The channel dimension of the input should be defined. Found ${t[n]}`);let o=t[n],s=4,i=this.kernelSize.concat([o,this.filters*s]);this.kernel=this.addWeight("kernel",i,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);let a=this.kernelSize.concat([this.filters,this.filters*s]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",a,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){let u;if(this.unitForgetBias){let l=this.biasInitializer,c=this.filters;u=new(e=class extends fn{apply(m,f){let d=l.apply([c]),h=lr([c]),g=l.apply([c*2]);return Sm([d,h,g])}},e.className="CustomInit",e)}else u=this.biasInitializer;this.bias=this.addWeight("bias",[this.filters*s],null,u,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0}call(t,e){return B(()=>{if(t.length!==3)throw new z(`ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got ${t.length}.`);let n=e.training||!1,o=t[0],s=t[1],i=t[2],a=4;0xr(o),rate:this.dropout,training:n,count:a,dropoutFunc:this.dropoutFunc}));let u=this.dropoutMask,l=(rt,ot,at)=>!ot||!ot[at]?rt:R(ot[at],rt),c=l(o,u,0),p=l(o,u,1),m=l(o,u,2),f=l(o,u,3);0xr(s),rate:this.recurrentDropout,training:n,count:a,dropoutFunc:this.dropoutFunc}));let d=this.recurrentDropoutMask,h=l(s,d,0),g=l(s,d,1),x=l(s,d,2),b=l(s,d,3),w=3,[C,N,_,A]=cr(this.kernel.read(),a,w),[$,F,P,V]=this.useBias?cr(this.bias.read(),a):[null,null,null,null];c=this.inputConv(c,C,$,this.padding),p=this.inputConv(p,N,F,this.padding),m=this.inputConv(m,_,P,this.padding),f=this.inputConv(f,A,V,this.padding);let[G,W,q,H]=cr(this.recurrentKernel.read(),a,w);h=this.recurrentConv(h,G),g=this.recurrentConv(g,W),x=this.recurrentConv(x,q),b=this.recurrentConv(b,H);let j=this.recurrentActivation.apply(X(c,h)),Y=this.recurrentActivation.apply(X(p,g)),Z=X(R(Y,i),R(j,this.activation.apply(X(m,x)))),et=R(this.recurrentActivation.apply(X(f,b)),this.activation.apply(Z));return[et,et,Z]})}getConfig(){let t=super.getConfig(),{units:e}=t,n=V8(t,["units"]),o={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign({},n,o)}inputConv(t,e,n,o){let s=Cn(t,e,this.strides,o||"valid",this.dataFormat==="channelsFirst"?"NCHW":"NHWC",this.dilationRate);return n?mn(s,n,this.dataFormat):s}recurrentConv(t,e){return Cn(t,e,1,"same",this.dataFormat==="channelsFirst"?"NCHW":"NHWC")}};vc.className="ConvLSTM2DCell";Q.registerClass(vc);var lf=class extends ub{constructor(t){let e=new vc(t);super(Object.assign({},t,{cell:e}))}static fromConfig(t,e){return new t(e)}};lf.className="ConvLSTM2D";Q.registerClass(lf);var Sc=class extends Rt{constructor(t){super(t),this.rate=Math.max(Math.min(t.rate,1),0),this.noiseShape=t.noiseShape,this.seed=t.seed,this.supportsMasking=!0}getNoiseShape(t){if(this.noiseShape==null)return this.noiseShape;let e=t.shape,n=[];for(let o=0;o{this.invokeCallHook(t,e);let n=At(t);if(0Ny(n,this.rate,s,this.seed),()=>n,o)}return t})}getConfig(){let t={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},e=super.getConfig();return Object.assign(t,e),t}dispose(){return super.dispose()}};Sc.className="Dropout";Q.registerClass(Sc);var uf=class extends Sc{constructor(t){super(t),this.inputSpec=[{ndim:3}]}getNoiseShape(t){let e=t.shape;return[e[0],1,e[2]]}};uf.className="SpatialDropout1D";Q.registerClass(uf);var cf=class extends Rt{constructor(t){if(super(t),this.activation=null,this.useBias=!0,this.kernel=null,this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",t.batchInputShape==null&&t.inputShape==null&&t.inputDim!=null){let e=null;t.batchSize!=null&&(e=t.batchSize),this.batchInputShape=[e,t.inputDim]}this.units=t.units,Ze(this.units,"units"),this.activation=Ks(t.activation),t.useBias!=null&&(this.useBias=t.useBias),this.kernelInitializer=de(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.biasInitializer=de(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelConstraint=ze(t.kernelConstraint),this.biasConstraint=ze(t.biasConstraint),this.kernelRegularizer=be(t.kernelRegularizer),this.biasRegularizer=be(t.biasRegularizer),this.activityRegularizer=be(t.activityRegularizer),this.supportsMasking=!0,this.inputSpec=[{minNDim:2}]}build(t){t=Jt(t);let e=t[t.length-1];this.kernel==null&&(this.kernel=this.addWeight("kernel",[e,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:{[-1]:e}}],this.built=!0}computeOutputShape(t){t=Jt(t);let e=t.slice();return e[e.length-1]=this.units,e}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=At(t),o=xy(this.activation.getClassName()),s;return o!=null?s=No(n,this.kernel.read(),o,this.bias?this.bias.read():null):(s=No(n,this.kernel.read()),this.bias!=null&&(s=mn(s,this.bias.read())),this.activation!=null&&(s=this.activation.apply(s))),s})}getConfig(){let t={units:this.units,activation:qs(this.activation),useBias:this.useBias,kernelInitializer:ke(this.kernelInitializer),biasInitializer:ke(this.biasInitializer),kernelRegularizer:me(this.kernelRegularizer),biasRegularizer:me(this.biasRegularizer),activityRegularizer:me(this.activityRegularizer),kernelConstraint:Me(this.kernelConstraint),biasConstraint:Me(this.biasConstraint)},e=super.getConfig();return Object.assign(t,e),t}};cf.className="Dense";Q.registerClass(cf);var pf=class extends Rt{constructor(t){t=t||{},super(t),this.inputSpec=[{minNDim:3}],this.dataFormat=t.dataFormat}computeOutputShape(t){t=Jt(t);for(let e of t.slice(1))if(e==null)throw new z(`The shape of the input to "Flatten" is not fully defined (got ${t.slice(1)}). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.`);return[t[0],So(t,1)]}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=At(t);if(this.dataFormat==="channelsFirst"&&n.rank>1){let o=[0];for(let s=2;s{this.invokeCallHook(t,e);let n=At(t);return this.activation.apply(n)})}getConfig(){let t={activation:qs(this.activation)},e=super.getConfig();return Object.assign(t,e),t}};mf.className="Activation";Q.registerClass(mf);var ff=class extends Rt{constructor(t){super(t),this.n=t.n,this.inputSpec=[{ndim:2}]}computeOutputShape(t){return[t[0],this.n,t[1]]}call(t,e){return B(()=>(t=At(t),k$(t,this.n)))}getConfig(){let t={n:this.n},e=super.getConfig();return Object.assign(t,e),t}};ff.className="RepeatVector";Q.registerClass(ff);var df=class extends Rt{constructor(t){super(t),this.targetShape=t.targetShape;for(let e=0;e{this.invokeCallHook(t,e);let n=At(t),o=n.shape,s=o.slice(0,1).concat(this.fixUnknownDimension(o.slice(1),this.targetShape));return D(n,s)})}getConfig(){let t={targetShape:this.targetShape},e=super.getConfig();return Object.assign(t,e),t}};df.className="Reshape";Q.registerClass(df);var hf=class extends Rt{constructor(t){if(super(t),t.dims==null)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(t.dims))throw new Error(`Permute constructor requires \`dims\` to be an Array, but received ${t.dims} instead.`);let e=Yr(1,t.dims.length+1);if(!y.arraysEqual(t.dims.slice().sort(),e))throw new Error("Invalid permutation `dims`: "+JSON.stringify(t.dims)+" `dims` must contain consecutive integers starting from 1.");this.dims=t.dims,this.dimsIncludingBatch=[0].concat(this.dims),this.inputSpec=[new ye({ndim:this.dims.length+1})]}computeOutputShape(t){t=Jt(t);let e=t.slice();return this.dims.forEach((n,o)=>{e[o+1]=t[n]}),e}call(t,e){return Ot(At(t),this.dimsIncludingBatch)}getConfig(){let t={dims:this.dims},e=super.getConfig();return Object.assign(t,e),t}};hf.className="Permute";Q.registerClass(hf);var gf=class extends Rt{constructor(t){super(t==null?{}:t),this.supportsMasking=!0,t!=null?this.maskValue=t.maskValue==null?0:t.maskValue:this.maskValue=0}computeOutputShape(t){return t}getConfig(){let t=super.getConfig(),e={maskValue:this.maskValue};return Object.assign(e,t),e}computeMask(t,e){let n=At(t),o=-1;return Hu(zs(n,this.maskValue),o)}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=At(t),o=-1,s=!0,i=Hu(zs(n,this.maskValue),o,s);return R(n,J(i,n.dtype))})}};gf.className="Masking";Q.registerClass(gf);var xf=class extends Rt{constructor(t){if(super(t),this.embeddings=null,this.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",t.batchInputShape==null&&t.inputShape==null){let e=null;t.batchSize!=null&&(e=t.batchSize),t.inputLength==null?this.batchInputShape=[e,null]:this.batchInputShape=[e].concat(xe(t.inputLength))}this.inputDim=t.inputDim,Ze(this.inputDim,"inputDim"),this.outputDim=t.outputDim,Ze(this.outputDim,"outputDim"),this.embeddingsInitializer=de(t.embeddingsInitializer||this.DEFAULT_EMBEDDINGS_INITIALIZER),this.embeddingsRegularizer=be(t.embeddingsRegularizer),this.activityRegularizer=be(t.activityRegularizer),this.embeddingsConstraint=ze(t.embeddingsConstraint),this.maskZero=t.maskZero,this.supportsMasking=t.maskZero,this.inputLength=t.inputLength}build(t){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0}warnOnIncompatibleInputShape(t){}computeMask(t,e){return B(()=>this.maskZero?(t=At(t),zs(t,It(t))):null)}computeOutputShape(t){if(t=Jt(t),this.inputLength==null)return[...t,this.outputDim];let e=xe(this.inputLength);if(e.length!==t.length-1)throw new z(`"inputLength" is ${this.inputLength}, but received input shape has shape ${t}`);{let n=0;for(let o=0;o{this.invokeCallHook(t,e);let n=At(t);n.dtype!=="int32"&&(n=tl(n,"int32"));let o=Sy(this.embeddings.read(),D(n,[n.size]));return D(o,Jt(this.computeOutputShape(n.shape)))})}getConfig(){let t={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:ke(this.embeddingsInitializer),embeddingsRegularizer:me(this.embeddingsRegularizer),activityRegularizer:me(this.activityRegularizer),embeddingsConstraint:Me(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},e=super.getConfig();return Object.assign(t,e),t}};xf.className="Embedding";Q.registerClass(xf);var ul=class extends Rt{constructor(t){super(t||{}),this.supportsMasking=!0}mergeFunction(t){throw new vt}computeElementwiseOpOutputShape(t,e){if(t==null||e==null)return null;if(t.length1)throw new z(`Can not merge tensors with different batch sizes. Got tensors with shapes: ${JSON.stringify(t)}.`);let n=t[0]==null?null:t[0].slice(1);for(let s=1;ss.length);t.indexOf(null)===-1&&vo(o).length===1?this.reshapeRequired=!1:this.reshapeRequired=!0}call(t,e){return B(()=>{if(t=t,this.reshapeRequired){let n=[],o=t.map(s=>s.rank);if(o.indexOf(null)===-1){let s=Us(o);for(let i of t){let a=i.rank;for(let u=0;u1){let c=Yr(1,l).concat([0]);n.push(Ot(u,c)),s=!0}else n.push(u)}let i=this.mergeFunction(n),a=i.rank;if(s){if(a==null){let u=i.shape,l=u.length,c=u[l-1],p=[c].concat(u.slice(0,u.length-1));i=D(Ot(D(i,[-1,c]),[1,0]),p)}else if(a>1){let u=[a-1].concat(Yr(0,a-1));i=Ot(i,u)}}return i}}else return this.mergeFunction(t)})}computeOutputShape(t){t=t;let e;t[0]==null?e=null:e=t[0].slice(1);for(let o=1;o{if(e==null)return null;if(!Array.isArray(e))throw new z("`mask` should be an Array");if(!Array.isArray(t))throw new z("`inputs` should be an Array");if(e.length!==t.length)throw new z(`The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths (${t.length} vs ${e.length})`);if(e.every(o=>o==null))return null;e=e.map(o=>o==null?o:gr(o,0));let n=e[0];for(let o=1;o{let e=t[0].clone();for(let n=1;n{let e=t[0].clone();for(let n=1;n{let e=t[0].clone();for(let n=1;n{let e=t[0];for(let n=1;n{let e=t[0];for(let n=1;n1)throw new z("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(t))}mergeFunction(t){return B(()=>Sm(t,this.axis))}computeOutputShape(t){if(!(Array.isArray(t)&&Array.isArray(t[0])))throw new z("A `Concatenate` layer should be called on a list of inputs.");let e=t,n=e[0].slice(),o=this.axis<0?n.length+this.axis:this.axis;for(let s of e.slice(1)){if(n[o]==null||s[o]==null){n[o]=null;break}n[o]+=s[o]}return n}computeMask(t,e){if(e==null)return null;if(!Array.isArray(e))throw new z("`mask` should be an array for Concatenate");if(!Array.isArray(t))throw new z("`inputs` should be an array for Concatenate");if(e.length!==t.length)throw new z(`Mismatch in the length of mask (${e.length}) and the legnth of inputs (${t.length})`);return B(()=>{let n=!0;if(e.forEach(i=>{if(i!=null){n=!1;return}}),n)return null;let o=[];for(let i=0;i3||t.shape.length>3)throw new vt("batchDot is not implemented for tensors of 4D or higher rank yet");if(y.assert(r.shape.length>=2,()=>`batchDot requires the rank of x to be >= 2, but got ${r.shape.length}`),y.assert(r.shape.length>=2,()=>`batchDot requires the rank of y to be >= 2, but got ${t.shape.length}`),typeof e=="number"&&(e=[e,e]),r.dtype==="complex64"||t.dtype==="complex64")throw new vt("batchDot is not implemented for complex64-type Tensors yet.");let n=r.shape.length,o=t.shape.length;e==null&&(e=[n-1,o-2]);let s=e;return B(()=>{let i;if(n>o){i=n-o;let u=[];for(let l=0;ln){i=o-n;let u=[];for(let l=0;l0){let u;n>o?u=n+o-3:u=n-1;let l=[];for(let c=u;c"A `Dot` layer should be called on a list of exactly 2 inputs.");let e=t[0],n=t[1];if(e.length>3||n.length>3)throw new vt("Dot layer does not support tensors of 4D or higher rank yet.");let o=this.interpretAxes(e,n);if(e[o[0]]!==n[o[1]])throw new z(`Dimension incompatibility: ${e[o[0]]} !== ${n[o[1]]}`)}mergeFunction(t){if(t.length!==2)throw new z(`A \`Dot\` layer must be called on exactly 2 inputs, but received ${t.length} input(s).`);let e=t[0],n=t[1],o;return Array.isArray(this.axes)?o=this.axes.map((s,i)=>kh(s,t[i].shape.length)):o=[kh(this.axes,e.shape.length),kh(this.axes,n.shape.length)],this.normalize&&(e=yh(e,o[0]),n=yh(n,o[1])),G8(e,n,o)}interpretAxes(t,e){let n;return Array.isArray(this.axes)?n=this.axes:n=[kh(this.axes,t.length),kh(this.axes,e.length)],n}computeOutputShape(t){y.assert(Array.isArray(t)&&t.length===2&&Array.isArray(t[0])&&Array.isArray(t[1]),()=>"A `Dot` layer should be called on a list of exactly 2 inputs.");let e=t[0].slice(),n=t[1].slice();if(e.length>3||n.length>3)throw new vt("Dot layer does not support tensors of 4D or higher rank yet.");let o=this.interpretAxes(e,n);e.splice(o[0],1),n.splice(o[1],1),n.splice(0,1);let s=e.concat(n);return s.length===1&&s.push(1),s}computeMask(t,e){return null}getConfig(){let t={axes:this.axes,normalize:this.normalize},e=super.getConfig();return Object.assign(t,e),t}};Sf.className="Dot";Q.registerClass(Sf);var Nf=class extends Rt{constructor(t){super(t),this.supportsMasking=!0,this.stddev=t.stddev}computeOutputShape(t){return t}getConfig(){let t=super.getConfig(),e={stddev:this.stddev};return Object.assign(e,t),e}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=At(t);return gu(()=>X(Nm(n.shape,0,this.stddev),n),()=>n,e.training||!1)})}};Nf.className="GaussianNoise";Q.registerClass(Nf);var kf=class extends Rt{constructor(t){super(t),this.supportsMasking=!0,this.rate=t.rate}computeOutputShape(t){return t}getConfig(){let t=super.getConfig(),e={rate:this.rate};return Object.assign(e,t),e}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=At(t);return this.rate>0&&this.rate<1?gu(()=>{let s=Math.sqrt(this.rate/(1-this.rate));return R(n,Nm(n.shape,1,s))},()=>n,e.training||!1):n})}};kf.className="GaussianDropout";Q.registerClass(kf);var Tf=class extends Rt{constructor(t){super(t),this.supportsMasking=!0,this.rate=t.rate,this.noiseShape=t.noiseShape}_getNoiseShape(t){return this.noiseShape||At(t).shape}computeOutputShape(t){return t}getConfig(){let t=super.getConfig(),e={rate:this.rate};return Object.assign(e,t),e}call(t,e){return B(()=>{if(this.rate<1&&this.rate>0){let n=this._getNoiseShape(t);return gu(()=>{let s=At(t),i=1.6732632423543772,a=1.0507009873554805,u=-i*a,l=Fn(Li(n),this.rate);l=tl(l,"float32");let c=((1-this.rate)*(1+this.rate*u**2))**-.5,p=-c*u*this.rate,m=X(R(s,l),R(X(l,-1),u));return X(R(m,c),p)},()=>At(t),e.training||!1)}return t})}};Tf.className="AlphaDropout";Q.registerClass(Tf);function Th(r,t,e,n,o,s=.001){let i;if(r.rank===2)i=mx(r,t,e,n,o,s);else if(r.rank===3)i=fx(r,t,e,n,o,s);else if(r.rank===4)i=dx(r,t,e,n,o,s);else throw new vt(`batchNormalization is not implemented for array of rank ${r.rank} yet`);return i}function W8(r,t,e,n,o=.001){return B(()=>{let s=Zu(r,n),i=s.mean,a=s.variance;return[Th(r,i,a,e,t,o),i,a]})}function U8(r,t,e,n,o=.001){return B(()=>{let s=Zu(r,n),i=s.mean,a=s.variance,u=[];for(let d of Yr(0,r.rank))n.indexOf(d)!==-1?u.push(1):u.push(r.shape[d]);let l=D(i,u),c=D(a,u),p=t==null?null:D(t,u),m=e==null?null:D(e,u);return[Th(r,l,c,m,p,o),i,a]})}function H8(r,t,e,n,o=.001){return y.arraysEqual(n.slice().sort(),Yr(0,r.rank-1))?W8(r,t,e,n,o):U8(r,t,e,n,o)}var Ef=class extends Rt{constructor(t){t==null&&(t={}),super(t),this.supportsMasking=!0,this.axis=t.axis==null?-1:t.axis,this.momentum=t.momentum==null?.99:t.momentum,this.epsilon=t.epsilon==null?.001:t.epsilon,this.center=t.center==null?!0:t.center,this.scale=t.scale==null?!0:t.scale,this.betaInitializer=de(t.betaInitializer||"zeros"),this.gammaInitializer=de(t.gammaInitializer||"ones"),this.movingMeanInitializer=de(t.movingMeanInitializer||"zeros"),this.movingVarianceInitializer=de(t.movingVarianceInitializer||"ones"),this.betaConstraint=ze(t.betaConstraint),this.gammaConstraint=ze(t.gammaConstraint),this.betaRegularizer=be(t.betaRegularizer),this.gammaRegularizer=be(t.gammaRegularizer)}build(t){t=Jt(t);let e=this.axis>=0?this.axis:this.axis+t.length,n=t[e];if(n==null)throw new z(`Axis ${e} of input tensor should have a defined dimension but the layer received an input with shape ${JSON.stringify(t)}.`);this.inputSpec=[new ye({ndim:t.length,axes:{[e]:n}})];let o=[n];this.scale&&(this.gamma=this.addWeight("gamma",o,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",o,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",o,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",o,null,this.movingVarianceInitializer,null,!1),this.built=!0}call(t,e){return B(()=>{let n=e.training==null?!1:e.training,o=At(t),s=o.shape,i=s.length,a=Yr(0,i),u=this.axis>=0?this.axis:this.axis+i;a.splice(u,1);let l=Co(1,i);l[u]=s[u];let c=a.slice();c.sort();let p=!y.arraysEqual(c,Yr(0,i).slice(0,i-1)),m=()=>{if(p){let b=D(this.movingMean.read(),l),w=D(this.movingVariance.read(),l),C=this.center?D(this.beta.read(),l):null,N=this.scale?D(this.gamma.read(),l):null;return Th(o,b,w,C,N,this.epsilon)}else return Th(o,this.movingMean.read(),this.movingVariance.read(),this.beta==null?null:this.beta.read(),this.gamma==null?null:this.gamma.read(),this.epsilon)};if(!n)return m();let[f,d,h]=H8(o,this.gamma.read(),this.beta.read(),a,this.epsilon),g=(b,w,C)=>{B(()=>{let N=1-C,_=b.read(),A=R(ct(_,w),N);b.write(ct(_,A))})};return(()=>{g(this.movingMean,d,this.momentum),g(this.movingVariance,h,this.momentum)})(),f})}getConfig(){let t={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:ke(this.betaInitializer),gammaInitializer:ke(this.gammaInitializer),movingMeanInitializer:ke(this.movingMeanInitializer),movingVarianceInitializer:ke(this.movingVarianceInitializer),betaRegularizer:me(this.betaRegularizer),gammaRegularizer:me(this.gammaRegularizer),betaConstraint:Me(this.betaConstraint),gammaConstraint:Me(this.gammaConstraint)},e=super.getConfig();return Object.assign(t,e),t}};Ef.className="BatchNormalization";Q.registerClass(Ef);var _f=class extends Rt{constructor(t){if(t==null&&(t={}),super(t),this.axis=t.axis==null?-1:t.axis,typeof this.axis=="number"){if(!Number.isInteger(this.axis))throw new Error(`Expected axis to be an integer, but received ${this.axis}`)}else if(Array.isArray(this.axis)){for(let e of this.axis)if(!Number.isInteger(e))throw new Error(`Expected axis to be an array of integers, but received ${JSON.stringify(this.axis)}`)}else throw new Error(`Expected axis to be an integer or an array of integers, but received ${JSON.stringify(this.axis)}`);this.epsilon=t.epsilon==null?.001:t.epsilon,this.center=t.center==null?!0:t.center,this.scale=t.scale==null?!0:t.scale,this.betaInitializer=de(t.betaInitializer||"zeros"),this.gammaInitializer=de(t.gammaInitializer||"ones"),this.betaRegularizer=be(t.betaRegularizer),this.gammaRegularizer=be(t.gammaRegularizer),this.supportsMasking=!0}build(t){t=Jt(t);let e=t.length;typeof this.axis=="number"&&(this.axis=[this.axis]);for(let s=0;s=e)throw new Error(`Invalid axis: ${s}`);if(this.axis.length!==vo(this.axis).length)throw new Error(`Found duplicate axes in: ${this.axis}`);let n=this.axis.map(s=>t[s]),o=!0;this.scale?this.gamma=this.addWeight("gamma",n,"float32",this.gammaInitializer,this.gammaRegularizer,o):this.gamma=null,this.center?this.beta=this.addWeight("beta",n,"float32",this.betaInitializer,this.betaRegularizer,o):this.beta=null,this.built=!0}call(t,e){let n=At(t),o=n.shape,s=o.length;return B(()=>{let{mean:a,variance:u}=Zu(n,this.axis,!0),l=Co(1,s);for(let h of this.axis)l[h]=o[h];let c=h=>h!=null&&h.shape.length!==s?D(h,l):h,p=this.scale?c(this.gamma.read()):null,m=this.center?c(this.beta.read()):null,f=[],d=[];for(let h=0;h{if(r.rank!==4)throw new z(`temporalPadding expects input tensor to be 4-D, but received a ${r.rank}-D tensor.`);if(t==null&&(t=[[1,1],[1,1]]),t.length!==2||t[0].length!==2||t[1].length!==2)throw new z("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(e==null&&(e=pn()),e!=="channelsLast"&&e!=="channelsFirst")throw new z(`Unknown data format: ${e}. Supported data formats are 'channelsLast' and 'channelsFirst.`);let n;return e==="channelsFirst"?n=[[0,0],[0,0],t[0],t[1]]:n=[[0,0],t[0],t[1],[0,0]],un(r,n)})}var Af=class extends Rt{constructor(t){if(t==null&&(t={}),super(t),this.dataFormat=t.dataFormat==null?pn():t.dataFormat,t.padding==null)this.padding=[[1,1],[1,1]];else if(typeof t.padding=="number")this.padding=[[t.padding,t.padding],[t.padding,t.padding]];else{if(t.padding=t.padding,t.padding.length!==2)throw new z(`ZeroPadding2D expects padding to be a length-2 array, but received a length-${t.padding.length} array.`);let e,n;if(typeof t.padding[0]=="number")e=[t.padding[0],t.padding[0]],n=[t.padding[1],t.padding[1]];else{if(t.padding=t.padding,t.padding[0].length!==2)throw new z(`ZeroPadding2D expects height padding to be a length-2 array, but received a length-${t.padding[0].length} array.`);if(e=t.padding[0],t.padding[1].length!==2)throw new z(`ZeroPadding2D expects width padding to be a length-2 array, but received a length-${t.padding[1].length} array.`);n=t.padding[1]}this.padding=[e,n]}this.inputSpec=[new ye({ndim:4})]}computeOutputShape(t){t=Jt(t);let e,n;return this.dataFormat==="channelsFirst"?(t[2]!=null&&t[2]>=0?e=t[2]+this.padding[0][0]+this.padding[0][1]:e=null,t[3]!=null&&t[3]>=0?n=t[3]+this.padding[1][0]+this.padding[1][1]:n=null,[t[0],t[1],e,n]):(t[1]!=null&&t[1]>=0?e=t[1]+this.padding[0][0]+this.padding[0][1]:e=null,t[2]!=null&&t[2]>=0?n=t[2]+this.padding[1][0]+this.padding[1][1]:n=null,[t[0],e,n,t[3]])}call(t,e){return B(()=>q8(At(t),this.padding,this.dataFormat))}getConfig(){let t={padding:this.padding,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}};Af.className="ZeroPadding2D";Q.registerClass(Af);function hb(r,t,e,n,o,s){return B(()=>{Re(o),x0(s),cn(n),e==null&&(e=[1,1]),n==null&&(n="valid"),o==null&&(o=pn()),s==null&&(s="max"),r=Nh(r,o);let i,a=n==="same"?"same":"valid";return s==="max"?i=tu(r,t,e,a):i=jl(r,t,e,a),o==="channelsFirst"&&(i=Ot(i,[0,3,1,2])),i})}function gD(r,t,e,n,o,s){return B(()=>{Re(o),x0(s),cn(n),e==null&&(e=[1,1,1]),n==null&&(n="valid"),o==null&&(o=pn()),s==null&&(s="max"),r=F0(r,o);let i,a=n==="same"?"same":"valid";return s==="max"?i=Bx(r,t,e,a):i=px(r,t,e,a),o==="channelsFirst"&&(i=Ot(i,[0,4,1,2,3])),i})}var cb=class extends Rt{constructor(t){if(t.poolSize==null&&(t.poolSize=2),super(t),typeof t.poolSize=="number")this.poolSize=[t.poolSize];else if(Array.isArray(t.poolSize)&&t.poolSize.length===1&&typeof t.poolSize[0]=="number")this.poolSize=t.poolSize;else throw new z(`poolSize for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(t.poolSize)}`);if(Ze(this.poolSize,"poolSize"),t.strides==null)this.strides=this.poolSize;else if(typeof t.strides=="number")this.strides=[t.strides];else if(Array.isArray(t.strides)&&t.strides.length===1&&typeof t.strides[0]=="number")this.strides=t.strides;else throw new z(`strides for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(t.strides)}`);Ze(this.strides,"strides"),this.padding=t.padding==null?"valid":t.padding,cn(this.padding),this.inputSpec=[new ye({ndim:3})]}computeOutputShape(t){t=Jt(t);let e=Sn(t[1],this.poolSize[0],this.padding,this.strides[0]);return[t[0],e,t[2]]}call(t,e){return B(()=>{this.invokeCallHook(t,e),t=el(At(t),2);let n=this.poolingFunction(At(t),[this.poolSize[0],1],[this.strides[0],1],this.padding,"channelsLast");return Pn(n,[2])})}getConfig(){let t={poolSize:this.poolSize,padding:this.padding,strides:this.strides},e=super.getConfig();return Object.assign(t,e),t}},$f=class extends cb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Re(s),cn(o),hb(t,e,n,o,s,"max")}};$f.className="MaxPooling1D";Q.registerClass($f);var Df=class extends cb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Re(s),cn(o),hb(t,e,n,o,s,"avg")}};Df.className="AveragePooling1D";Q.registerClass(Df);var pb=class extends Rt{constructor(t){if(t.poolSize==null&&(t.poolSize=[2,2]),super(t),this.poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize],t.strides==null)this.strides=this.poolSize;else if(Array.isArray(t.strides)){if(t.strides.length!==2)throw new z(`If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length ${t.strides.length}.`);this.strides=t.strides}else this.strides=[t.strides,t.strides];Ze(this.poolSize,"poolSize"),Ze(this.strides,"strides"),this.padding=t.padding==null?"valid":t.padding,this.dataFormat=t.dataFormat==null?"channelsLast":t.dataFormat,Re(this.dataFormat),cn(this.padding),this.inputSpec=[new ye({ndim:4})]}computeOutputShape(t){t=Jt(t);let e=this.dataFormat==="channelsFirst"?t[2]:t[1],n=this.dataFormat==="channelsFirst"?t[3]:t[2];return e=Sn(e,this.poolSize[0],this.padding,this.strides[0]),n=Sn(n,this.poolSize[1],this.padding,this.strides[1]),this.dataFormat==="channelsFirst"?[t[0],t[1],e,n]:[t[0],e,n,t[3]]}call(t,e){return B(()=>(this.invokeCallHook(t,e),this.poolingFunction(At(t),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}},Rf=class extends pb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Re(s),cn(o),hb(t,e,n,o,s,"max")}};Rf.className="MaxPooling2D";Q.registerClass(Rf);var Ff=class extends pb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Re(s),cn(o),hb(t,e,n,o,s,"avg")}};Ff.className="AveragePooling2D";Q.registerClass(Ff);var mb=class extends Rt{constructor(t){if(t.poolSize==null&&(t.poolSize=[2,2,2]),super(t),this.poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize,t.poolSize],t.strides==null)this.strides=this.poolSize;else if(Array.isArray(t.strides)){if(t.strides.length!==3)throw new z(`If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length ${t.strides.length}.`);this.strides=t.strides}else this.strides=[t.strides,t.strides,t.strides];Ze(this.poolSize,"poolSize"),Ze(this.strides,"strides"),this.padding=t.padding==null?"valid":t.padding,this.dataFormat=t.dataFormat==null?"channelsLast":t.dataFormat,Re(this.dataFormat),cn(this.padding),this.inputSpec=[new ye({ndim:5})]}computeOutputShape(t){t=Jt(t);let e=this.dataFormat==="channelsFirst"?t[2]:t[1],n=this.dataFormat==="channelsFirst"?t[3]:t[2],o=this.dataFormat==="channelsFirst"?t[4]:t[3];return e=Sn(e,this.poolSize[0],this.padding,this.strides[0]),n=Sn(n,this.poolSize[1],this.padding,this.strides[1]),o=Sn(o,this.poolSize[2],this.padding,this.strides[2]),this.dataFormat==="channelsFirst"?[t[0],t[1],e,n,o]:[t[0],e,n,o,t[4]]}call(t,e){return B(()=>(this.invokeCallHook(t,e),this.poolingFunction(At(t),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}},Of=class extends mb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Re(s),cn(o),gD(t,e,n,o,s,"max")}};Of.className="MaxPooling3D";Q.registerClass(Of);var Pf=class extends mb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Re(s),cn(o),gD(t,e,n,o,s,"avg")}};Pf.className="AveragePooling3D";Q.registerClass(Pf);var fb=class extends Rt{constructor(t){super(t),this.inputSpec=[new ye({ndim:3})]}computeOutputShape(t){return[t[0],t[2]]}call(t,e){throw new vt}},Lf=class extends fb{constructor(t){super(t||{})}call(t,e){return B(()=>{let n=At(t);return Se(n,1)})}};Lf.className="GlobalAveragePooling1D";Q.registerClass(Lf);var Mf=class extends fb{constructor(t){super(t||{})}call(t,e){return B(()=>{let n=At(t);return Br(n,1)})}};Mf.className="GlobalMaxPooling1D";Q.registerClass(Mf);var db=class extends Rt{constructor(t){super(t),this.dataFormat=t.dataFormat==null?"channelsLast":t.dataFormat,Re(this.dataFormat),this.inputSpec=[new ye({ndim:4})]}computeOutputShape(t){return t=t,this.dataFormat==="channelsLast"?[t[0],t[3]]:[t[0],t[1]]}call(t,e){throw new vt}getConfig(){let t={dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}},zf=class extends db{call(t,e){return B(()=>{let n=At(t);return this.dataFormat==="channelsLast"?Se(n,[1,2]):Se(n,[2,3])})}};zf.className="GlobalAveragePooling2D";Q.registerClass(zf);var Bf=class extends db{call(t,e){return B(()=>{let n=At(t);return this.dataFormat==="channelsLast"?Br(n,[1,2]):Br(n,[2,3])})}};Bf.className="GlobalMaxPooling2D";Q.registerClass(Bf);var gb=class extends Rt{constructor(t){super(t),this.layer=t.layer}build(t){this.built=!0}get trainable(){return this.layer!=null?this.layer.trainable:!1}set trainable(t){this.layer!=null&&(this.layer.trainable=t)}get trainableWeights(){return this.layer.trainableWeights}get nonTrainableWeights(){return this.layer.nonTrainableWeights}get updates(){return this.layer._updates}get losses(){return this.layer.losses}getWeights(){return this.layer.getWeights()}setWeights(t){this.layer.setWeights(t)}getConfig(){let t={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},e=super.getConfig();return Object.assign(t,e),t}setFastWeightInitDuringBuild(t){super.setFastWeightInitDuringBuild(t),this.layer!=null&&this.layer.setFastWeightInitDuringBuild(t)}static fromConfig(t,e,n={}){let o=e.layer,s=hn(o,n);delete e.layer;let i={layer:s};return Object.assign(i,e),new t(i)}},Vf=class extends gb{constructor(t){super(t),this.supportsMasking=!0}build(t){if(t=Jt(t),t.length<3)throw new z(`TimeDistributed layer expects an input shape >= 3D, but received input shape ${JSON.stringify(t)}`);this.inputSpec=[{shape:t}];let e=[t[0]].concat(t.slice(2));this.layer.built||(this.layer.build(e),this.layer.built=!0),super.build(t)}computeOutputShape(t){t=Jt(t);let e=[t[0]].concat(t.slice(2)),n=this.layer.computeOutputShape(e),o=t[1];return[n[0],o].concat(n.slice(1))}call(t,e){return B(()=>(t=At(t),P0((i,a)=>[At(this.layer.call(i,e)),[]],t,[],!1,null,null,!1,!0)[1]))}};Vf.className="TimeDistributed";Q.registerClass(Vf);function K8(r){Vi(C$,"BidirectionalMergeMode",r)}var j8="concat",Gf=class extends gb{constructor(t){super(t);let e=t.layer.getConfig(),n={};n.className=t.layer.getClassName(),n.config=e,this.forwardLayer=hn(n),e.goBackwards=e.goBackwards!==!0;let o={};if(o.className=t.layer.getClassName(),o.config=e,this.backwardLayer=hn(o),this.forwardLayer.name="forward_"+this.forwardLayer.name,this.backwardLayer.name="backward_"+this.backwardLayer.name,this.mergeMode=t.mergeMode===void 0?j8:t.mergeMode,K8(this.mergeMode),t.weights)throw new vt("weights support is not implemented for Bidirectional layer yet.");this._stateful=t.layer.stateful,this.returnSequences=t.layer.returnSequences,this.returnState=t.layer.returnState,this.supportsMasking=!0,this._trainable=!0,this.inputSpec=t.layer.inputSpec,this.numConstants=null}get trainable(){return this._trainable}set trainable(t){this._trainable=t,this.forwardLayer!=null&&(this.forwardLayer.trainable=t),this.backwardLayer!=null&&(this.backwardLayer.trainable=t)}getWeights(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())}setWeights(t){let e=t.length,n=Math.floor(e/2);this.forwardLayer.setWeights(t.slice(0,n)),this.backwardLayer.setWeights(t.slice(n))}computeOutputShape(t){let e=this.forwardLayer.computeOutputShape(t);Array.isArray(e)&&Array.isArray(e[0])||(e=[e]),e=e;let n,o,s;return this.returnState&&(s=e.slice(1)),n=e[0],n=n,this.mergeMode==="concat"?(n[n.length-1]*=2,o=[n]):this.mergeMode==null?o=[n,n.slice()]:o=[n],this.returnState?this.mergeMode==null?o.concat(s).concat(s.slice()):[n].concat(s).concat(s.slice()):Sr(o)}apply(t,e){let n=e==null?null:e.initialState,o=e==null?null:e.constants;e==null&&(e={});let s=O0(t,n,o,this.numConstants);if(t=s.inputs,n=s.initialState,o=s.constants,Array.isArray(t)&&(n=t.slice(1),t=t[0]),(n==null||n.length===0)&&o==null)return super.apply(t,e);let i=[],a=[];if(n!=null){let l=n.length;if(l%2>0)throw new z("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");e.initialState=n,i.push(...n);let c=n.map(p=>new ye({shape:p.shape}));this.forwardLayer.stateSpec=c.slice(0,l/2),this.backwardLayer.stateSpec=c.slice(l/2),a.push(...c)}if(o!=null)throw new vt("Support for constants in Bidirectional layers is not implemented yet.");let u=i[0]instanceof Jr;for(let l of i)if(l instanceof Jr!==u)throw new z("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors");if(u){let l=[t].concat(i),c=this.inputSpec.concat(a),p=this.inputSpec;this.inputSpec=c;let m=super.apply(l,e);return this.inputSpec=p,m}else return super.apply(t,e)}call(t,e){return B(()=>{let n=e.initialState,o,s;if(n==null)o=this.forwardLayer.call(t,e),s=this.backwardLayer.call(t,e);else{let u=n.slice(0,n.length/2),l=n.slice(n.length/2);o=this.forwardLayer.call(t,Object.assign(e,{initialState:u})),s=this.backwardLayer.call(t,Object.assign(e,{initialState:l}))}let i;this.returnState&&(Array.isArray(o)&&(i=o.slice(1).concat(s.slice(1))),o=o[0],s=s[0]),this.returnSequences&&(s=ur(s,1));let a;return this.mergeMode==="concat"?a=Sm([o,s]):this.mergeMode==="sum"?a=X(o,s):this.mergeMode==="ave"?a=R(.5,X(o,s)):this.mergeMode==="mul"?a=R(o,s):this.mergeMode==null&&(a=[o,s]),this.returnState?this.mergeMode==null?a.concat(i):[a].concat(i):a})}resetStates(t){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()}build(t){Ws(this.forwardLayer.name,()=>{this.forwardLayer.build(t)}),Ws(this.backwardLayer.name,()=>{this.backwardLayer.build(t)}),this.built=!0}computeMask(t,e){Array.isArray(e)&&(e=e[0]);let n;if(this.returnSequences?this.mergeMode==null?n=[e,e]:n=e:this.mergeMode==null?n=[null,null]:n=null,this.returnState){let s=this.forwardLayer.states.map(i=>null);return Array.isArray(n)?n.concat(s).concat(s):[n].concat(s).concat(s)}else return n}get trainableWeights(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)}get nonTrainableWeights(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)}setFastWeightInitDuringBuild(t){super.setFastWeightInitDuringBuild(t),this.forwardLayer!=null&&this.forwardLayer.setFastWeightInitDuringBuild(t),this.backwardLayer!=null&&this.backwardLayer.setFastWeightInitDuringBuild(t)}getConfig(){let t={mergeMode:this.mergeMode},e=super.getConfig();return Object.assign(t,e),t}static fromConfig(t,e){let n=hn(e.layer);if(delete e.layer,e.numConstants!=null)throw new vt("Deserialization of a Bidirectional layer with numConstants present is not supported yet.");let o=e;return o.layer=n,new t(o)}};Gf.className="Bidirectional";Q.registerClass(Gf);var Wf=class extends Rt{constructor(t){super(t),this.scale=t.scale,t.offset?this.offset=t.offset:this.offset=0}getConfig(){let t={scale:this.scale,offset:this.offset},e=super.getConfig();return Object.assign(t,e),t}call(t,e){return B(()=>(t=At(t),t.dtype!=="float32"&&(t=tl(t,"float32")),X(R(t,this.scale),this.offset)))}};Wf.className="Rescaling";Q.registerClass(Wf);function X8(r){return new Hs(r)}function Y8(r){return new Xm(r)}function Z8(r){return new qm(r)}function J8(r){return new Km(r)}function Q8(r){return new jm(r)}function tY(r){return new Zm(r)}function eY(r){return new Ym(r)}function rY(r){return new Iu(r)}function nY(r){return new ol(r)}function oY(r){return new Jm(r)}function sY(r){return new sl(r)}function iY(r){return new Qm(r)}function aY(r){return new tf(r)}function lY(r){return new ef(r)}function uY(r){return new rf(r)}function cY(r){return new nf(r)}function pY(r){return new mf(r)}function mY(r){return new cf(r)}function fY(r){return new Sc(r)}function dY(r){return new uf(r)}function hY(r){return new pf(r)}function gY(r){return new ff(r)}function xY(r){return new df(r)}function yY(r){return new hf(r)}function bY(r){return new xf(r)}function wY(r){return new yf(r)}function CY(r){return new wf(r)}function IY(r){return new vf(r)}function vY(r){return new Cf(r)}function SY(r){return new If(r)}function NY(r){return new bf(r)}function kY(r){return new Sf(r)}function TY(r){return new Ef(r)}function EY(r){return new _f(r)}function _Y(r){return new Af(r)}function L0(r){return new Df(r)}function AY(r){return L0(r)}function $Y(r){return L0(r)}function M0(r){return new Ff(r)}function DY(r){return M0(r)}function RY(r){return M0(r)}function z0(r){return new Pf(r)}function FY(r){return z0(r)}function OY(r){return z0(r)}function PY(r){return new Lf(r)}function LY(r){return new zf(r)}function xD(r){return new Mf(r)}function yD(r){return new Bf(r)}function bD(r){return new $f(r)}function wD(r){return new Rf(r)}function MY(r){return new Of(r)}function zY(r){return new sf(r)}function BY(r){return new Cc(r)}function VY(r){return new af(r)}function GY(r){return new al(r)}function WY(r){return new of(r)}function UY(r){return new wc(r)}function HY(r){return new lf(r)}function qY(r){return new vc(r)}function KY(r){return new Nn(r)}function jY(r){return new Ic(r)}function XY(r){return new Gf(r)}function YY(r){return new Vf(r)}var ZY=xD,JY=yD,QY=bD,tZ=wD;function eZ(r){return new Nf(r)}function rZ(r){return new kf(r)}function nZ(r){return new Tf(r)}function oZ(r){return new gf(r)}function sZ(r){return new Wf(r)}var ID={};Gt(ID,{MAPE:()=>gZ,MSE:()=>bZ,binaryAccuracy:()=>iZ,binaryCrossentropy:()=>aZ,categoricalAccuracy:()=>uZ,categoricalCrossentropy:()=>cZ,cosineProximity:()=>fZ,mape:()=>xZ,meanAbsoluteError:()=>dZ,meanAbsolutePercentageError:()=>hZ,meanSquaredError:()=>yZ,mse:()=>wZ,precision:()=>pZ,recall:()=>mZ,sparseCategoricalAccuracy:()=>lZ});function iZ(r,t){return Ch(r,t)}function aZ(r,t){return My(r,t)}function lZ(r,t){return zy(r,t)}function uZ(r,t){return Ih(r,t)}function cZ(r,t){return vh(r,t)}function pZ(r,t){return N0(r,t)}function mZ(r,t){return K$(r,t)}function fZ(r,t){return wh(r,t)}function dZ(r,t){return Bm(r,t)}function hZ(r,t){return yu(r,t)}function gZ(r,t){return yu(r,t)}function xZ(r,t){return yu(r,t)}function yZ(r,t){return Wi(r,t)}function bZ(r,t){return Wi(r,t)}function wZ(r,t){return Wi(r,t)}var vD={};Gt(vD,{modelFromJSON:()=>uD});var SD={};Gt(SD,{l1:()=>IZ,l1l2:()=>CZ,l2:()=>vZ});function CZ(r){return new bu(r)}function IZ(r){return fD(r)}function vZ(r){return dD(r)}var yb=class extends nl{constructor(){super(...arguments),this.model=null}setModel(t){if(!(t instanceof Mn))throw new Error("model must be a LayersModel, not some other Container");this.model=t}};function xb(r,t){return rt}var bb=class extends yb{constructor(t){if(super(),t==null&&(t={}),t.restoreBestWeights)throw new vt("restoreBestWeights = True is not implemented in EarlyStopping yet.");this.monitor=t.monitor||"val_loss",this.minDelta=Math.abs(t.minDelta||0),this.patience=t.patience||0,this.verbose=t.verbose||0,this.mode=t.mode||"auto",this.baseline=t.baseline,["auto","min","max"].indexOf(this.mode)===-1&&(console.warn(`EarlyStopping mode '${this.mode}' is invalid. Falling back to mode 'auto'.`),this.mode="auto"),this.mode==="min"?this.monitorFunc=xb:this.mode==="max"?this.monitorFunc=ND:this.monitor.indexOf("acc")!==-1?this.monitorFunc=ND:this.monitorFunc=xb,this.monitorFunc===xb&&(this.minDelta*=-1)}async onTrainBegin(t){this.wait=0,this.stoppedEpoch=0,this.baseline!=null?this.best=this.baseline:this.best=this.monitorFunc===xb?1/0:-1/0}async onEpochEnd(t,e){await Gi(e);let n=this.getMonitorValue(e);n!=null&&(this.monitorFunc(n-this.minDelta,this.best)?(this.best=n,this.wait=0):(this.wait++,this.wait>=this.patience&&(this.stoppedEpoch=t,this.model.stopTraining=!0)))}async onTrainEnd(t){this.stoppedEpoch>0&&this.verbose&&console.log(`Epoch ${this.stoppedEpoch}: early stopping.`)}getMonitorValue(t){t==null&&(t={});let e=t[this.monitor];return e==null&&console.warn(`Metric for EarlyStopping ${this.monitor} is not available. Available metrics are: ${Object.keys(t)}`),e}};function SZ(r){return new bb(r)}var NZ={earlyStopping:SZ};var kZ=M();kZ.registerFlag("KEEP_INTERMEDIATE_TENSORS",()=>!1,r=>{r&&console.warn("Keep intermediate tensors is ON. This will print the values of all intermediate tensors during model inference. Not all models support this mode. For details, check e2e/benchmarks/ model_config.js. This significantly impacts performance.")});var ro;(function(r){r[r.DT_INVALID=0]="DT_INVALID",r[r.DT_FLOAT=1]="DT_FLOAT",r[r.DT_DOUBLE=2]="DT_DOUBLE",r[r.DT_INT32=3]="DT_INT32",r[r.DT_UINT8=4]="DT_UINT8",r[r.DT_INT16=5]="DT_INT16",r[r.DT_INT8=6]="DT_INT8",r[r.DT_STRING=7]="DT_STRING",r[r.DT_COMPLEX64=8]="DT_COMPLEX64",r[r.DT_INT64=9]="DT_INT64",r[r.DT_BOOL=10]="DT_BOOL",r[r.DT_QINT8=11]="DT_QINT8",r[r.DT_QUINT8=12]="DT_QUINT8",r[r.DT_QINT32=13]="DT_QINT32",r[r.DT_BFLOAT16=14]="DT_BFLOAT16",r[r.DT_QINT16=15]="DT_QINT16",r[r.DT_QUINT16=16]="DT_QUINT16",r[r.DT_UINT16=17]="DT_UINT16",r[r.DT_COMPLEX128=18]="DT_COMPLEX128",r[r.DT_HALF=19]="DT_HALF",r[r.DT_RESOURCE=20]="DT_RESOURCE",r[r.DT_VARIANT=21]="DT_VARIANT",r[r.DT_UINT32=22]="DT_UINT32",r[r.DT_UINT64=23]="DT_UINT64",r[r.DT_FLOAT_REF=101]="DT_FLOAT_REF",r[r.DT_DOUBLE_REF=102]="DT_DOUBLE_REF",r[r.DT_INT32_REF=103]="DT_INT32_REF",r[r.DT_UINT8_REF=104]="DT_UINT8_REF",r[r.DT_INT16_REF=105]="DT_INT16_REF",r[r.DT_INT8_REF=106]="DT_INT8_REF",r[r.DT_STRING_REF=107]="DT_STRING_REF",r[r.DT_COMPLEX64_REF=108]="DT_COMPLEX64_REF",r[r.DT_INT64_REF=109]="DT_INT64_REF",r[r.DT_BOOL_REF=110]="DT_BOOL_REF",r[r.DT_QINT8_REF=111]="DT_QINT8_REF",r[r.DT_QUINT8_REF=112]="DT_QUINT8_REF",r[r.DT_QINT32_REF=113]="DT_QINT32_REF",r[r.DT_BFLOAT16_REF=114]="DT_BFLOAT16_REF",r[r.DT_QINT16_REF=115]="DT_QINT16_REF",r[r.DT_QUINT16_REF=116]="DT_QUINT16_REF",r[r.DT_UINT16_REF=117]="DT_UINT16_REF",r[r.DT_COMPLEX128_REF=118]="DT_COMPLEX128_REF",r[r.DT_HALF_REF=119]="DT_HALF_REF",r[r.DT_RESOURCE_REF=120]="DT_RESOURCE_REF",r[r.DT_VARIANT_REF=121]="DT_VARIANT_REF",r[r.DT_UINT32_REF=122]="DT_UINT32_REF",r[r.DT_UINT64_REF=123]="DT_UINT64_REF"})(ro||(ro={}));var kD;(function(r){let t;(function(e){e[e.LEGACY=0]="LEGACY",e[e.V1=1]="V1",e[e.V2=2]="V2"})(t=r.CheckpointFormatVersion||(r.CheckpointFormatVersion={}))})(kD||(kD={}));var B0={};function EZ(r,t){let e={tfOpName:r,category:"custom",inputs:[],attrs:[],customExecutor:t};B0[r]=e}function wb(r){return B0[r]}function _Z(r){delete B0[r]}function v(r,t,e,n,o){let s=t.inputParams[r];if(s&&s.inputIndexStart!==void 0){let a=s.inputIndexStart,u=s.inputIndexEnd===0?void 0:s.inputIndexEnd===void 0?a+1:s.inputIndexEnd;if(s.type==="tensor")return yr(t.inputNames[s.inputIndexStart],e,n,o);if(s.type==="tensors")return t.inputNames.slice(a,u).map(m=>yr(m,e,n,o));let l=yr(t.inputNames.slice(a)[0],e,n,o),c=l.dataSync();return s.type==="number"?c[0]:y.toNestedArray(l.shape,c)}let i=t.attrParams[r];return i&&i.value}function yr(r,t,e,n){let[o,s]=gn(r);if(n!=null){let a=n.getHashTableHandleByName(o);if(a!=null)return a}let i=e.currentContextIds.find(a=>!!t[Cb(o,a)]);return i!==void 0?t[Cb(o,i)][s]:void 0}function TD(r,t,e){return t[Cb(r,e.currentContextId)]}function Eo(r,t){let[e,n,o]=gn(r);return[Cb(e,t&&t.currentContextId),n,o]}function Cb(r,t){return t?`${r}-${t}`:r}function gn(r){let t=r.split(":");if(t.length===1)return[r,0,void 0];let e=t[0],n=t.length===3?t[1]:void 0,o=Number(t[t.length-1]);return[e,o,n]}function Eh(r,t,e){let n=v("pad",r,t,e);if(n==="explicit"){n=v("explicitPaddings",r,t,e);let o=[[0,0],[0,0],[0,0],[0,0]];for(let s=0;s<4;s++)o[s][0]=n[s*2],o[s][1]=n[s*2+1];return o}return n}function Xs(r){return r.kept?r:sn(r)}var V0={};Gt(V0,{json:()=>AZ});var AZ=[{tfOpName:"Add",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddV2",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddN",category:"arithmetic",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"BiasAdd",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"Sub",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"RealDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Div",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"DivNoNan",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mul",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Maximum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Minimum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Pow",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SquaredDifference",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorMod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}];var G0={};Gt(G0,{json:()=>$Z});var $Z=[{tfOpName:"Abs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan2",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Ceil",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ClipByValue",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"clipValueMin",type:"number"},{start:2,name:"clipValueMax",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Complex",category:"basic_math",inputs:[{start:0,name:"real",type:"tensor"},{start:1,name:"imag",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ComplexAbs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Elu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Exp",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Floor",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Imag",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Neg",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Real",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Prelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"alpha",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu6",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Selu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sigmoid",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Rsqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Square",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sign",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Round",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Expm1",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log1p",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Reciprocal",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Softplus",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Erf",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Prod",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axes",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LeakyRelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"alpha",name:"alpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"IsNan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}];var W0={};Gt(W0,{json:()=>DZ});var DZ=[{tfOpName:"EmptyTensorList",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"maxNumElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"LoopCond",category:"control",inputs:[{start:0,name:"pred",type:"tensor"}]},{tfOpName:"Switch",category:"control",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"pred",type:"tensor"}]},{tfOpName:"Merge",category:"control",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"Enter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"frame_name",name:"frameName",type:"string"},{tfName:"is_constant",name:"isConstant",type:"bool"}]},{tfOpName:"Exit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NextIteration",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayV3",category:"control",inputs:[{start:0,name:"size",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"dynamic_size",name:"dynamicSize",type:"bool"},{tfName:"clear_after_read",name:"clearAfterRead",type:"bool"},{tfName:"identical_element_shapes",name:"identicalElementShapes",type:"bool"},{tfName:"tensor_array_name",name:"name",type:"string"}]},{tfOpName:"TensorArrayWriteV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayReadV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayGatherV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"}]},{tfOpName:"TensorArrayScatterV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArrayConcatV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape_except0",name:"elementShapeExcept0",type:"shape",notSupported:!0}]},{tfOpName:"TensorArraySplitV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"tensor",type:"tensor"},{start:2,name:"lengths",type:"number[]"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArraySizeV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}]},{tfOpName:"TensorArrayCloseV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"}]},{tfOpName:"StatelessIf",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"If",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"StatelessWhile",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"While",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"TensorListScatter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListScatterV2",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"},{start:3,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGather",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListSetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListReserve",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListFromTensor",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListStack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"},{tfName:"num_elements",name:"numElements",type:"dtype"}]},{tfOpName:"TensorListSplit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"},{start:2,name:"lengths",type:"number[]"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcat",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcatV2",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPopBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPushBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListLength",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}]},{tfOpName:"TensorListResize",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"size",type:"number"}]}];var U0={};Gt(U0,{json:()=>RZ});var RZ=[{tfOpName:"AvgPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[],notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPoolWithArgmax",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"include_batch_in_index",name:"includeBatchInIndex",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AvgPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Conv1D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"stride",name:"stride",type:"number"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NWC"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"dilation",name:"dilation",type:"number",defaultValue:1}]},{tfOpName:"Conv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"useCudnnOnGpu",name:"useCudnnOnGpu",type:"bool"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"_FusedConv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"use_cudnn_on_gpu",name:"useCudnnOnGpu",type:"bool",defaultValue:!0},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2}]},{tfOpName:"Conv2DBackpropInput",category:"convolution",inputs:[{start:2,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:0,name:"outputShape",type:"number[]"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]",notSupported:!0}]},{tfOpName:"DepthwiseConv2d",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"DepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"FusedDepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]}]},{tfOpName:"Conv3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"Dilation2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"rates",name:"dilations",type:"number[]"},{tfName:"padding",name:"pad",type:"string"}]}];var H0={};Gt(H0,{json:()=>FZ});var FZ=[{tfOpName:"Fill",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"},{start:1,name:"value",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"LinSpace",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"num",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"OneHot",category:"creation",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"depth",type:"number"},{start:2,name:"onValue",type:"number",defaultValue:1},{start:3,name:"offValue",type:"number",defaultValue:0}],attrs:[{tfName:"axis",name:"axis",type:"number",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Ones",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"OnesLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"RandomStandardNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"RandomUniform",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"minval",name:"minval",type:"number",defaultValue:0},{tfName:"maxval",name:"maxval",type:"number",defaultValue:1},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Range",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"step",type:"number",defaultValue:0}],attrs:[{tfName:"Tidx",name:"dtype",type:"dtype"}]},{tfOpName:"TruncatedNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"means",name:"mean",type:"number",defaultValue:0},{tfName:"stddev",name:"stdDev",type:"number",defaultValue:1},{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Zeros",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"ZerosLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Multinomial",category:"creation",inputs:[{start:0,name:"logits",type:"tensor"},{start:1,name:"numSamples",type:"number"}],attrs:[{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number"},{tfName:"T",name:"dtype",type:"dtype"},{tfName:"output_dtype",name:"output_dtype",type:"dtype"}]}];var q0={};Gt(q0,{json:()=>OZ});var OZ=[{tfOpName:"NonMaxSuppressionV2",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV3",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV4",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"T_threshold",name:"threshold",type:"dtype",notSupported:!0},{tfName:"pad_to_max_output_size",name:"padToMaxOutputSize",type:"bool"}]},{tfOpName:"NonMaxSuppressionV5",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"},{start:5,name:"softNmsSigma",type:"number"}]},{tfOpName:"Where",category:"dynamic",inputs:[{start:0,name:"condition",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ListDiff",category:"dynamic",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}];var K0={};Gt(K0,{json:()=>PZ});var PZ=[{tfOpName:"LowerBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"TopKV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"k",type:"number"}],attrs:[{tfName:"sorted",name:"sorted",type:"bool"}]},{tfOpName:"UpperBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"Unique",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"UniqueV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]}];var j0={};Gt(j0,{json:()=>LZ});var LZ=[{tfOpName:"PlaceholderWithDefault",category:"graph",inputs:[{start:0,name:"default",type:"tensor"}],attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Placeholder",category:"graph",attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Const",category:"graph"},{tfOpName:"Identity",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IdentityN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Snapshot",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Rank",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Size",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Shape",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"ShapeN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Print",category:"graph",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"data",type:"tensors"}],attrs:[{tfName:"message",name:"message",type:"string"},{tfName:"first_n",name:"firstN",type:"number",notSupported:!0},{tfName:"summarize",name:"summarize",type:"number",defaultValue:3}]},{tfOpName:"NoOp",category:"graph",inputs:[]},{tfOpName:"StopGradient",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"FakeQuantWithMinMaxVars",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"min",name:"min",type:"number"},{tfName:"max",name:"max",type:"number"}]}];var X0={};Gt(X0,{json:()=>MZ});var MZ=[{tfOpName:"HashTable",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"HashTableV2",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"LookupTableImport",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableImportV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFind",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFindV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableSize",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]},{tfOpName:"LookupTableSizeV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]}];var Y0={};Gt(Y0,{json:()=>zZ});var zZ=[{tfOpName:"ResizeBilinear",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ResizeNearestNeighbor",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"CropAndResize",category:"image",inputs:[{start:0,name:"image",type:"tensor"},{start:1,name:"boxes",type:"tensor"},{start:2,name:"boxInd",type:"tensor"},{start:3,name:"cropSize",type:"number[]"}],attrs:[{tfName:"method",name:"method",type:"string"},{tfName:"extrapolation_value",name:"extrapolationValue",type:"number"}]},{tfOpName:"ImageProjectiveTransformV3",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"transforms",type:"tensor"},{start:2,name:"outputShape",type:"number[]"},{start:3,name:"fillValue",type:"number"}],attrs:[{tfName:"interpolation",name:"interpolation",type:"string"},{tfName:"fill_mode",name:"fillMode",type:"string"}]}];var Z0={};Gt(Z0,{json:()=>BZ});var BZ=[{tfOpName:"Equal",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NotEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Greater",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"GreaterEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Less",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LessEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalAnd",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalNot",category:"logical",inputs:[{start:0,name:"a",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalOr",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Select",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SelectV2",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}];var J0={};Gt(J0,{json:()=>VZ});var VZ=[{tfOpName:"_FusedMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMulV2",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Transpose",category:"matrices",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"perm",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Einsum",category:"matrices",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"equation",name:"equation",type:"string"},{tfName:"N",name:"n",type:"number",defaultValue:2},{tfName:"T",name:"dtype",type:"dtype"}]}];var Q0={};Gt(Q0,{json:()=>GZ});var GZ=[{tfOpName:"EuclideanNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",defaultValue:!1}]},{tfOpName:"FusedBatchNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV2",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV3",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"LRN",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"depth_radius",name:"radius",type:"number",defaultValue:5},{tfName:"bias",name:"bias",type:"number",defaultValue:1},{tfName:"alpha",name:"alpha",type:"number",defaultValue:1},{tfName:"beta",name:"beta",type:"number",defaultValue:.5}]},{tfOpName:"Softmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"LogSoftmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"SparseToDense",category:"normalization",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!0,notSupported:!0}]}];var tN={};Gt(tN,{json:()=>WZ});var WZ=[{tfOpName:"Bincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}]},{tfOpName:"DenseBincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}],attrs:[{tfName:"binary_output",name:"binaryOutput",type:"bool"}]},{tfOpName:"Max",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Mean",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Min",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Sum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"All",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Any",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"ArgMax",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"ArgMin",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"Prod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Cumprod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]},{tfOpName:"Cumsum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]}];var eN={};Gt(eN,{json:()=>UZ});var UZ=[{tfOpName:"ConcatV2",category:"slice_join",inputs:[{start:0,end:-1,name:"tensors",type:"tensors"},{start:-1,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"Concat",category:"slice_join",inputs:[{start:1,end:0,name:"tensors",type:"tensors"},{start:0,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"GatherV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"axis",type:"number",defaultValue:0}],attrs:[{tfName:"batch_dims",name:"batchDims",type:"number",defaultValue:0}]},{tfOpName:"Gather",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",notSupported:!0}]},{tfOpName:"Reverse",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"dims",type:"bool[]"}]},{tfOpName:"ReverseV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}]},{tfOpName:"Slice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"size",type:"number[]"}]},{tfOpName:"StridedSlice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"end",type:"number[]"},{start:3,name:"strides",type:"number[]"}],attrs:[{tfName:"begin_mask",name:"beginMask",type:"number",defaultValue:0},{tfName:"end_mask",name:"endMask",type:"number",defaultValue:0},{tfName:"new_axis_mask",name:"newAxisMask",type:"number",defaultValue:0},{tfName:"ellipsis_mask",name:"ellipsisMask",type:"number",defaultValue:0},{tfName:"shrink_axis_mask",name:"shrinkAxisMask",type:"number",defaultValue:0}]},{tfOpName:"Pack",category:"slice_join",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0}]},{tfOpName:"Unpack",category:"slice_join",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0},{tfName:"num",name:"num",type:"number",defaultValue:0,notSupported:!0}]},{tfOpName:"Tile",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"reps",type:"number[]"}]},{tfOpName:"Split",category:"slice_join",inputs:[{start:0,name:"axis",type:"number",defaultValue:0},{start:1,name:"x",type:"tensor"}],attrs:[{tfName:"num_split",name:"numOrSizeSplits",type:"number",defaultValue:1}]},{tfOpName:"SplitV",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"numOrSizeSplits",type:"number[]"},{start:2,name:"axis",type:"number",defaultValue:0}]},{tfOpName:"ScatterNd",category:"slice_join",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"shape",type:"number[]"}]},{tfOpName:"GatherNd",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}]},{tfOpName:"SparseToDense",category:"slice_join",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!1,notSupported:!0}]}];var rN={};Gt(rN,{json:()=>HZ});var HZ=[{tfOpName:"SparseFillEmptyRows",category:"sparse",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"denseShape",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}]},{tfOpName:"SparseReshape",category:"sparse",inputs:[{start:0,name:"inputIndices",type:"tensor"},{start:1,name:"inputShape",type:"tensor"},{start:2,name:"newShape",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SparseSegmentMean",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]},{tfOpName:"SparseSegmentSum",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]}];var nN={};Gt(nN,{json:()=>qZ});var qZ=[{tfOpName:"FFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"RFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]},{tfOpName:"IRFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]}];var oN={};Gt(oN,{json:()=>KZ});var KZ=[{tfOpName:"StringNGrams",category:"string",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"dataSplits",type:"tensor"}],attrs:[{tfName:"separator",name:"separator",type:"string"},{tfName:"ngram_widths",name:"nGramWidths",type:"number[]"},{tfName:"left_pad",name:"leftPad",type:"string"},{tfName:"right_pad",name:"rightPad",type:"string"},{tfName:"pad_width",name:"padWidth",type:"number"},{tfName:"preserve_short_sequences",name:"preserveShortSequences",type:"bool"}],outputs:["ngrams","ngrams_splits"]},{tfOpName:"StringSplit",category:"string",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"delimiter",type:"tensor"}],attrs:[{tfName:"skip_empty",name:"skipEmpty",type:"bool"}],outputs:["indices","values","shape"]},{tfOpName:"StringToHashBucketFast",category:"string",inputs:[{start:0,name:"input",type:"tensor"}],attrs:[{tfName:"num_buckets",name:"numBuckets",type:"number"}]}];var sN={};Gt(sN,{json:()=>jZ});var jZ=[{tfOpName:"Cast",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"SrcT",name:"sdtype",type:"dtype",notSupported:!0},{tfName:"DstT",name:"dtype",type:"dtype"}]},{tfOpName:"ExpandDims",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"MirrorPad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"mode",name:"mode",type:"string"}]},{tfOpName:"Pad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"constant_value",name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"PadV2",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"},{start:2,name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"Reshape",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}]},{tfOpName:"Squeeze",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"axis",tfDeprecatedName:"squeeze_dims",name:"axis",type:"number[]"}]},{tfOpName:"SpaceToBatchND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"paddings",type:"number[]"}]},{tfOpName:"BatchToSpaceND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"crops",type:"number[]"}]},{tfOpName:"DepthToSpace",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"block_size",name:"blockSize",type:"number"},{tfName:"data_format",name:"dataFormat",type:"string"}]},{tfOpName:"BroadcastTo",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}],attrs:[]},{tfOpName:"BroadcastArgs",category:"transformation",inputs:[{start:0,name:"s0",type:"tensor"},{start:1,name:"s1",type:"tensor"}],attrs:[]}];var _h=class{static get Instance(){return this._instance||(this._instance=new this)}constructor(){let t=[V0,G0,W0,U0,H0,q0,K0,j0,X0,Y0,Z0,J0,Q0,tN,eN,rN,nN,oN,sN],e=[].concat(...t.map(n=>n.json));this.opMappers=e.reduce((n,o)=>(n[o.tfOpName]=o,n),{})}transformGraph(t,e={}){let n=t.node,o=[],s=[],i=[],a=n.reduce((h,g)=>(h[g.name]=this.mapNode(g),g.op.startsWith("Placeholder")?o.push(h[g.name]):g.op==="Const"?s.push(h[g.name]):(g.input==null||g.input.length===0)&&i.push(h[g.name]),h),{}),u=[],l=[],c={},p={};e!=null&&(c=this.mapSignatureEntries(e.inputs),p=this.mapSignatureEntries(e.outputs));let m=Object.keys(a);m.forEach(h=>{let g=a[h];g.inputNames.forEach((x,b)=>{let[w,,C]=Eo(x),N=a[w];if(N.outputs!=null){let _=N.outputs.indexOf(C);if(_!==-1){let A=`${w}:${_}`;g.inputNames[b]=A}}g.inputs.push(N),N.children.push(g)})}),Object.keys(p).length===0?m.forEach(h=>{let g=a[h];g.children.length===0&&l.push(g)}):Object.keys(p).forEach(h=>{let[g]=Eo(h),x=a[g];x!=null&&(x.signatureKey=p[h],l.push(x))}),Object.keys(c).length>0?Object.keys(c).forEach(h=>{let[g]=Eo(h),x=a[g];x&&(x.signatureKey=c[h],u.push(x))}):u=o;let f={};t.library!=null&&t.library.function!=null&&(f=t.library.function.reduce((h,g)=>(h[g.signature.name]=this.mapFunction(g),h),{}));let d={nodes:a,inputs:u,outputs:l,weights:s,placeholders:o,signature:e,functions:f};return i.length>0&&(d.initNodes=i),d}mapSignatureEntries(t){return Object.keys(t||{}).reduce((e,n)=>(e[t[n].name]=n,e),{})}mapNode(t){let e=wb(t.op)||this.opMappers[t.op]||{};t.attr==null&&(t.attr={});let n={name:t.name,op:t.op,category:e.category,inputNames:(t.input||[]).map(o=>o.startsWith("^")?o.slice(1):o),inputs:[],children:[],inputParams:{},attrParams:{},rawAttrs:t.attr,outputs:e.outputs};return e.inputs!=null&&(n.inputParams=e.inputs.reduce((o,s)=>(o[s.name]={type:s.type,inputIndexStart:s.start,inputIndexEnd:s.end},o),{})),e.attrs!=null&&(n.attrParams=e.attrs.reduce((o,s)=>{let i=s.type,a;switch(s.type){case"string":a=Ib(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Ib(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"string[]":a=_b(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=_b(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"number":a=Sb(t.attr,s.tfName,s.defaultValue||0),a===void 0&&!!s.tfDeprecatedName&&(a=Sb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"number[]":a=Eb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Eb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"bool":a=vb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=vb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"bool[]":a=$b(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=$b(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"shape":a=Tb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Tb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"shape[]":a=Ab(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Ab(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"dtype":a=Nb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Nb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"dtype[]":a=kb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=kb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"func":a=ED(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=ED(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"tensor":case"tensors":break;default:throw new Error(`Unsupported param type: ${s.type} for op: ${t.op}`)}return o[s.name]={value:a,type:i},o},{})),n}mapFunction(t){let e=t.nodeDef,n=[],o=[],s={};e!=null&&(s=e.reduce((p,m)=>(p[m.name]=this.mapNode(m),m.op==="Const"&&o.push(p[m.name]),p),{}));let i=[],a=[];t.signature.inputArg.forEach(p=>{let[m]=Eo(p.name),f={name:m,op:"Placeholder",inputs:[],inputNames:[],category:"graph",inputParams:{},attrParams:{dtype:{value:iN(p.type),type:"dtype"}},children:[]};f.signatureKey=p.name,i.push(f),s[m]=f}),Object.keys(s).forEach(p=>{let m=s[p];m.inputNames.forEach((f,d)=>{let[h,,g]=Eo(f),x=s[h];if(x.outputs!=null){let b=x.outputs.indexOf(g);if(b!==-1){let w=`${h}:${b}`;m.inputNames[d]=w}}m.inputs.push(x),x.children.push(m)})});let l=t.ret;t.signature.outputArg.forEach(p=>{let[m,f]=Eo(l[p.name]),d=s[m];d!=null&&(d.defaultOutput=f,a.push(d))});let c=this.mapArgsToSignature(t);return{nodes:s,inputs:i,outputs:a,weights:o,placeholders:n,signature:c}}mapArgsToSignature(t){return{methodName:t.signature.name,inputs:t.signature.inputArg.reduce((e,n)=>(e[n.name]=this.mapArgToTensorInfo(n),e),{}),outputs:t.signature.outputArg.reduce((e,n)=>(e[n.name]=this.mapArgToTensorInfo(n,t.ret),e),{})}}mapArgToTensorInfo(t,e){let n=t.name;return e!=null&&(n=e[n]),{name:n,dtype:t.type}}};function XZ(r){let t=M().global;if(typeof t.atob!="undefined")return t.atob(r);if(typeof Buffer!="undefined")return new Buffer(r,"base64").toString();throw new Error("Unable to decode base64 in this environment. Missing built-in atob() or Buffer()")}function _D(r,t){let e=Array.isArray(r)?String.fromCharCode.apply(null,r):XZ(r);return t?e:e.toLowerCase()}function Ib(r,t,e,n=!1){let o=r[t];return o!=null?_D(o.s,n):e}function vb(r,t,e){let n=r[t];return n?n.b:e}function Sb(r,t,e){let n=r[t]||{},o=n.i!=null?n.i:n.f!=null?n.f:e;return typeof o=="number"?o:parseInt(o,10)}function iN(r){switch(typeof r=="string"&&(r=ro[r]),r){case ro.DT_FLOAT:case ro.DT_HALF:return"float32";case ro.DT_INT32:case ro.DT_INT64:case ro.DT_INT8:case ro.DT_UINT8:return"int32";case ro.DT_BOOL:return"bool";case ro.DT_DOUBLE:return"float32";case ro.DT_STRING:return"string";default:return null}}function ED(r,t,e){let n=r[t];return n&&n.func?n.func.name:e}function Nb(r,t,e){let n=r[t];return n&&n.type?iN(n.type):e}function kb(r,t,e){let n=r[t];return n&&n.list&&n.list.type?n.list.type.map(o=>iN(o)):e}function AD(r){if(!r.unknownRank)return r.dim!=null?r.dim.map(t=>typeof t.size=="number"?t.size:parseInt(t.size,10)):[]}function Tb(r,t,e){let n=r[t];return n&&n.shape?AD(n.shape):e}function Eb(r,t,e){let n=r[t];return n?((n.list.f&&n.list.f.length?n.list.f:n.list.i)||[]).map(o=>typeof o=="number"?o:parseInt(o,10)):e}function _b(r,t,e,n=!1){let o=r[t];return o&&o.list&&o.list.s?o.list.s.map(s=>_D(s,n)):e}function Ab(r,t,e){let n=r[t];return n&&n.list&&n.list.shape?n.list.shape.map(o=>AD(o)):e}function $b(r,t,e){let n=r[t];return n&&n.list&&n.list.b?n.list.b:e}var Db=class{constructor(t,e,n){this.node=t,this.tensorMap=e,this.context=n,this.inputs=[],this.attrs={},this.inputs=t.inputNames.map(o=>this.getInput(o)),t.rawAttrs!=null&&(this.attrs=Object.keys(t.rawAttrs).reduce((o,s)=>(o[s]=this.getAttr(s),o),{}))}getInput(t){return yr(t,this.tensorMap,this.context)}getAttr(t,e){let n=this.node.rawAttrs[t];if(n.tensor!=null)return yr(t,this.tensorMap,this.context);if(n.i!=null||n.f!=null)return Sb(this.node.rawAttrs,t,e);if(n.s!=null)return Ib(this.node.rawAttrs,t,e);if(n.b!=null)return vb(this.node.rawAttrs,t,e);if(n.shape!=null)return Tb(this.node.rawAttrs,t,e);if(n.type!=null)return Nb(this.node.rawAttrs,t,e);if(n.list!=null){if(n.list.i!=null||n.list.f!=null)return Eb(this.node.rawAttrs,t,e);if(n.list.s!=null)return _b(this.node.rawAttrs,t,e);if(n.list.shape!=null)return Ab(this.node.rawAttrs,t,e);if(n.list.b!=null)return $b(this.node.rawAttrs,t,e);if(n.list.type!=null)return kb(this.node.rawAttrs,t,e)}return e}};var ae={};Gt(ae,{OP_SCOPE_SUFFIX:()=>IS,abs:()=>Ee,acos:()=>rx,acosh:()=>nx,add:()=>X,addN:()=>DE,all:()=>Yp,any:()=>Hu,argMax:()=>Ei,argMin:()=>ox,asin:()=>sx,asinh:()=>ix,atan:()=>ax,atan2:()=>lx,atanh:()=>ux,avgPool:()=>jl,avgPool3d:()=>px,basicLSTMCell:()=>OE,batchNorm:()=>Ai,batchNorm2d:()=>mx,batchNorm3d:()=>fx,batchNorm4d:()=>dx,batchToSpaceND:()=>Xl,bincount:()=>hx,booleanMaskAsync:()=>Uj,broadcastArgs:()=>LE,broadcastTo:()=>$i,buffer:()=>wt,cast:()=>J,ceil:()=>gx,clipByValue:()=>Cr,clone:()=>sn,complex:()=>bn,concat:()=>ne,concat1d:()=>xx,concat2d:()=>yx,concat3d:()=>bx,concat4d:()=>wx,conv1d:()=>Jp,conv2d:()=>Cn,conv2dTranspose:()=>tm,conv3d:()=>Cx,conv3dTranspose:()=>vx,cos:()=>Yl,cosh:()=>em,cosineWindow:()=>ch,cumprod:()=>ju,cumsum:()=>rm,denseBincount:()=>ME,depthToSpace:()=>Sx,depthwiseConv2d:()=>Di,diag:()=>zE,dilation2d:()=>Nx,div:()=>pt,divNoNan:()=>kx,dot:()=>Tx,dropout:()=>n0,einsum:()=>BE,elu:()=>Ri,enclosingPowerOfTwo:()=>o0,equal:()=>Ar,erf:()=>Ex,euclideanNorm:()=>_x,exp:()=>er,expandDims:()=>gr,expm1:()=>Ax,eye:()=>Yu,fft:()=>su,fill:()=>go,floor:()=>Fi,floorDiv:()=>Xp,fused:()=>au,gather:()=>Oi,gatherND:()=>Qj,greater:()=>He,greaterEqual:()=>Fn,ifft:()=>Za,imag:()=>Kl,image:()=>lu,inTopKAsync:()=>r6,irfft:()=>gm,isFinite:()=>$x,isInf:()=>Dx,isNaN:()=>Rx,leakyRelu:()=>Zl,less:()=>nm,lessEqual:()=>On,linalg:()=>i0,linspace:()=>WE,localResponseNormalization:()=>Fx,log:()=>Ir,log1p:()=>Jl,logSigmoid:()=>Lx,logSoftmax:()=>om,logSumExp:()=>sm,logicalAnd:()=>Dr,logicalNot:()=>Ql,logicalOr:()=>im,logicalXor:()=>Mx,losses:()=>rX,lowerBound:()=>UE,matMul:()=>Lt,max:()=>Br,maxPool:()=>tu,maxPool3d:()=>Bx,maxPoolWithArgmax:()=>HE,maximum:()=>In,mean:()=>Se,meshgrid:()=>qE,min:()=>Xu,minimum:()=>Pi,mirrorPad:()=>Vx,mod:()=>Gx,moments:()=>Zu,movingAverage:()=>qj,mul:()=>R,multiRNNCell:()=>KE,multinomial:()=>jE,neg:()=>Ut,norm:()=>Ya,notEqual:()=>zs,oneHot:()=>ki,ones:()=>lr,onesLike:()=>xr,op:()=>k,outerProduct:()=>XE,pad:()=>un,pad1d:()=>YE,pad2d:()=>ZE,pad3d:()=>JE,pad4d:()=>QE,pool:()=>Wx,pow:()=>an,prelu:()=>ru,print:()=>Kg,prod:()=>Ux,raggedGather:()=>t_,raggedTensorToTensor:()=>e_,rand:()=>r_,randomGamma:()=>b_,randomNormal:()=>tc,randomStandardNormal:()=>w_,randomUniform:()=>Li,range:()=>nu,real:()=>Xa,reciprocal:()=>Xx,relu:()=>Rr,relu6:()=>am,reshape:()=>D,reverse:()=>ur,reverse1d:()=>C_,reverse2d:()=>I_,reverse3d:()=>v_,reverse4d:()=>S_,rfft:()=>iu,round:()=>lm,rsqrt:()=>um,scalar:()=>mt,scatterND:()=>jj,searchSorted:()=>ah,selu:()=>cm,separableConv2d:()=>pm,setdiff1dAsync:()=>N_,sigmoid:()=>Xr,sign:()=>Yx,signal:()=>eX,sin:()=>mm,sinh:()=>fm,slice:()=>Dt,slice1d:()=>dm,slice2d:()=>uh,slice3d:()=>hm,slice4d:()=>ec,softmax:()=>ou,softplus:()=>Ms,spaceToBatchND:()=>eu,sparse:()=>nX,sparseToDense:()=>Zj,spectral:()=>tX,split:()=>cr,sqrt:()=>ve,square:()=>Mt,squaredDifference:()=>xm,squeeze:()=>Pn,stack:()=>rr,step:()=>yo,stridedSlice:()=>Zx,string:()=>oX,sub:()=>ct,sum:()=>ft,tan:()=>Jx,tanh:()=>_i,tensor:()=>wr,tensor1d:()=>Le,tensor2d:()=>Bs,tensor3d:()=>Zg,tensor4d:()=>k_,tensor5d:()=>T_,tensor6d:()=>E_,tile:()=>$r,topk:()=>Qx,transpose:()=>Ot,truncatedNormal:()=>ym,unique:()=>ty,unsortedSegmentSum:()=>bm,unstack:()=>vr,upperBound:()=>__,variable:()=>ey,where:()=>_e,whereAsync:()=>ny,zeros:()=>Ne,zerosLike:()=>It});var $D=(r,t,e,n=ae)=>{switch(r.op){case"BiasAdd":case"AddV2":case"Add":return[n.add(v("a",r,t,e),v("b",r,t,e))];case"AddN":return[n.addN(v("tensors",r,t,e))];case"FloorMod":case"Mod":return[n.mod(v("a",r,t,e),v("b",r,t,e))];case"Mul":return[n.mul(v("a",r,t,e),v("b",r,t,e))];case"RealDiv":case"Div":return[n.div(v("a",r,t,e),v("b",r,t,e))];case"DivNoNan":return[n.divNoNan(v("a",r,t,e),v("b",r,t,e))];case"FloorDiv":return[n.floorDiv(v("a",r,t,e),v("b",r,t,e))];case"Sub":return[n.sub(v("a",r,t,e),v("b",r,t,e))];case"Minimum":return[n.minimum(v("a",r,t,e),v("b",r,t,e))];case"Maximum":return[n.maximum(v("a",r,t,e),v("b",r,t,e))];case"Pow":return[n.pow(v("a",r,t,e),v("b",r,t,e))];case"SquaredDifference":return[n.squaredDifference(v("a",r,t,e),v("b",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var DD=(r,t,e,n=ae)=>{switch(r.op){case"Abs":case"ComplexAbs":return[n.abs(v("x",r,t,e))];case"Acos":return[n.acos(v("x",r,t,e))];case"Acosh":return[n.acosh(v("x",r,t,e))];case"Asin":return[n.asin(v("x",r,t,e))];case"Asinh":return[n.asinh(v("x",r,t,e))];case"Atan":return[n.atan(v("x",r,t,e))];case"Atan2":return[n.atan2(v("x",r,t,e),v("y",r,t,e))];case"Atanh":return[n.atanh(v("x",r,t,e))];case"Ceil":return[n.ceil(v("x",r,t,e))];case"Complex":return[n.complex(v("real",r,t,e),v("imag",r,t,e))];case"Cos":return[n.cos(v("x",r,t,e))];case"Cosh":return[n.cosh(v("x",r,t,e))];case"Elu":return[n.elu(v("x",r,t,e))];case"Erf":return[n.erf(v("x",r,t,e))];case"Exp":return[n.exp(v("x",r,t,e))];case"Expm1":return[n.expm1(v("x",r,t,e))];case"Floor":return[n.floor(v("x",r,t,e))];case"Log":return[n.log(v("x",r,t,e))];case"Log1p":return[n.log1p(v("x",r,t,e))];case"Imag":return[n.imag(v("x",r,t,e))];case"Neg":return[n.neg(v("x",r,t,e))];case"Reciprocal":return[n.reciprocal(v("x",r,t,e))];case"Real":return[n.real(v("x",r,t,e))];case"Relu":return[n.relu(v("x",r,t,e))];case"Round":return[n.round(v("x",r,t,e))];case"Selu":return[n.selu(v("x",r,t,e))];case"Sigmoid":return[n.sigmoid(v("x",r,t,e))];case"Sin":return[n.sin(v("x",r,t,e))];case"Sign":return[n.sign(v("x",r,t,e))];case"Sinh":return[n.sinh(v("x",r,t,e))];case"Softplus":return[n.softplus(v("x",r,t,e))];case"Sqrt":return[n.sqrt(v("x",r,t,e))];case"Square":return[n.square(v("x",r,t,e))];case"Tanh":return[n.tanh(v("x",r,t,e))];case"Tan":return[n.tan(v("x",r,t,e))];case"ClipByValue":return[n.clipByValue(v("x",r,t,e),v("clipValueMin",r,t,e),v("clipValueMax",r,t,e))];case"Relu6":return[n.relu6(v("x",r,t,e))];case"Rsqrt":return[n.rsqrt(yr(r.inputNames[0],t,e))];case"Prod":return[n.prod(v("x",r,t,e),v("axes",r,t,e))];case"LeakyRelu":return[n.leakyRelu(v("x",r,t,e),v("alpha",r,t,e))];case"Prelu":return[n.prelu(v("x",r,t,e),v("alpha",r,t,e))];case"IsNan":return[n.isNaN(yr(r.inputNames[0],t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function zn(r,t,e=""){if(!(typeof r=="number"||typeof t=="number")){y.assert(r.length===t.length,()=>e+` Shapes ${r} and ${t} must match`);for(let n=0;ne+` Shapes ${r} and ${t} must match`)}}}function RD(r){return!(typeof r=="number"||r.some(t=>t<0))}function Uf(r,t,e){let n=Rb(r,e),o=!RD(n);if(o&&t.length===0)throw new Error(`Tried to calculate elements of an empty list with non-fully-defined elementShape: ${n}`);if(o&&t.forEach(s=>{n=Rb(s.shape,n)}),!RD(n))throw new Error(`Non-fully-defined elementShape: ${n}`);return n}function Rb(r,t){if(typeof r=="number")return t;if(typeof t=="number")return r;if(r.length!==t.length)throw new Error(`Incompatible ranks during merge: ${r} vs. ${t}`);let e=[];for(let n=0;n=0&&s>=0&&o!==s)throw new Error(`Incompatible shape during merge: ${r} vs. ${t}`);e[n]=o>=0?o:s}return e}var Fb=class{constructor(t,e,n,o,s,i,a){this.name=t,this.dtype=e,this.maxSize=n,this.elementShape=o,this.identicalElementShapes=s,this.dynamicSize=i,this.clearAfterRead=a,this.tensors=[],this.closed_=!1,this.idTensor=mt(0),De(this.idTensor)}get id(){return this.idTensor.id}get closed(){return this.closed_}clearAndClose(t){this.tensors.forEach(e=>{(t==null||!t.has(e.tensor.id))&&e.tensor.dispose()}),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}size(){return this.tensors.length}read(t){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(t<0||t>=this.size())throw new Error(`Tried to read from index ${t}, but array size is: ${this.size()}`);let e=this.tensors[t];if(e.cleared)throw new Error(`TensorArray ${this.name}: Could not read index ${t} twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).`);return this.clearAfterRead&&(e.cleared=!0),e.read=!0,e.tensor}readMany(t){return t.map(e=>this.read(e))}write(t,e){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(t<0||!this.dynamicSize&&t>=this.maxSize)throw new Error(`Tried to write to index ${t}, but array is not resizeable and size is: ${this.maxSize}`);let n=this.tensors[t]||{};if(e.dtype!==this.dtype)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${t}, - because the value dtype is ${e.dtype}, but TensorArray dtype is ${this.dtype}.`);if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=e.shape),zn(this.elementShape,e.shape,`TensorArray ${this.name}: Could not write to TensorArray index ${t}.`),n.read)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${t}, because it has already been read.`);if(n.written)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${t}, because it has already been written.`);n.tensor=e,De(e),n.written=!0,this.tensors[t]=n}writeMany(t,e){if(t.length!==e.length)throw new Error(`TensorArray ${this.name}: could not write multiple tensors,because the index size: ${t.length} is not the same as tensors size: ${e.length}.`);t.forEach((n,o)=>this.write(n,e[o]))}gather(t,e){if(!!e&&e!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but gather requested dtype ${e}`);if(t)t=t.slice(0,this.size());else{t=[];for(let o=0;o=this.maxSize)throw new Error(`Max index must be < array size (${n} vs. ${this.maxSize})`);this.writeMany(t,vr(e,0))}split(t,e){if(e.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${e.dtype}`);let n=0,o=t.map(u=>(n+=u,n));if(n!==e.shape[0])throw new Error(`Expected sum of lengths to be equal to +2. The custom ${n} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);if(u!=null){let l={};for(let f of Object.keys(Co))l[f]=Co[f];for(let f of Object.keys(e))l[f]=e[f];let c=s.config;c.customObjects=l;let p=Object.assign({},Co);for(let f of Object.keys(e))Co[f]=e[f];wv(s.config);let m=u(a,s.config,e,o);return Co=Object.assign({},p),m}else{let l=Object.assign({},Co);for(let p of Object.keys(e))Co[p]=e[p];let c=new a(s.config);return Co=Object.assign({},l),c}}}function T5(r,t){return rt?1:0}function yh(r,t){return-1*T5(r,t)}function vo(r){if(r==null)return r;let t=[];for(let e of r)t.indexOf(e)===-1&&t.push(e);return t}function b$(r){if(r==null)throw new M(`Invalid value in obj: ${JSON.stringify(r)}`);for(let t in r)if(r.hasOwnProperty(t))return!1;return!0}function Wi(r,t,e){if(e!=null&&r.indexOf(e)<0)throw new M(`${e} is not a valid ${t}. Valid values are ${r} or null/undefined.`)}function Cy(r,t,e=0,n=1/0){return ro(e>=0),ro(n>=e),Array.isArray(r)&&r.length>=e&&r.length<=n&&r.every(o=>typeof o===t)}function Ze(r,t){Array.isArray(r)?(y.assert(r.length>0,()=>`${t} is unexpectedly an empty array.`),r.forEach((e,n)=>Ze(e,`element ${n+1} of ${t}`))):y.assert(Number.isInteger(r)&&r>0,()=>`Expected ${t} to be a positive integer, but got ${w$(r)}.`)}function w$(r){return r===null?"null":Array.isArray(r)?"["+r.map(t=>w$(t)).join(",")+"]":typeof r=="string"?`"${r}"`:`${r}`}function C$(r,t,e){let n=e!=null?e():y.now(),o;return(...i)=>{let a=e!=null?e():y.now();return a-n0){let e=`${r}_${t}`;return vm.set(e,1),e}else return r}var _5=new RegExp(/^[A-Za-z0-9][-A-Za-z0-9\._\/]*$/);function _$(r){return!!r.match(_5)}function A$(r){return r===parseInt(r.toString(),10)}function No(r,t,e){t==null&&(t=0),e==null&&(e=r.length);let n=1;for(let o=t;ot&&(t=n)}return t}function Zr(r,t){if(t{if(r.shape.length!==2)throw new M(`repeat() expects a rank-2 tensor, but received a rank-${r.shape.length} tensor.`);let e=nl(r,1);return Ey(e,[1,t,1])})}function D$(r){let t=[No(r.shape)];return R(r,t)}function R$(r){if(r.rank<=1)throw new M(`batchFlatten requires a minimum rank of 2. Got rank: ${r.rank}.`);let t=[r.shape[0],No(r.shape,1)];return R(r,t)}function rl(r,t,e){return B(()=>{switch(r.rank){case 1:return hm(r,t,e);case 2:return dh(r,[t,0],[e,r.shape[1]]);case 3:return gm(r,[t,0,0],[e,r.shape[1],r.shape[2]]);case 4:return ec(r,[t,0,0,0],[e,r.shape[1],r.shape[2],r.shape[3]]);case 5:return Rt(r,[t,0,0,0,0],[e,r.shape[1],r.shape[2],r.shape[3],r.shape[4]]);case 6:return Rt(r,[t,0,0,0,0,0],[e,r.shape[1],r.shape[2],r.shape[3],r.shape[4],r.shape[5]]);default:throw new M(`sliceAlongFirstAxis() received an unsupported tensor rank: ${r.rank}`)}})}function vv(r,t,e){return B(()=>{switch(r.rank){case 1:return hm(r,t,e);case 2:return dh(r,[0,t],[r.shape[0],e]);case 3:return gm(r,[0,0,t],[r.shape[0],r.shape[1],e]);case 4:return ec(r,[0,0,0,t],[r.shape[0],r.shape[1],r.shape[2],e]);default:throw new M(`sliceAlongLastAxis() received an unsupported tensor rank: ${r.rank}`)}})}function wh(r,t,e,n){return B(()=>{switch(r.rank){case 1:return hm(r,t,e);case 2:switch(n){case 1:return rl(r,t,e);case 2:return vv(r,t,e);default:throw new M(`The axis is not within the rank of the tensor ${n}`)}case 3:switch(n){case 1:return rl(r,t,e);case 2:return gm(r,[0,t,0],[r.shape[0],e,r.shape[2]]);case 3:return vv(r,t,e);default:throw new M(`The axis is not within the rank of the tensor ${n}`)}case 4:switch(n){case 1:return rl(r,t,e);case 2:return ec(r,[0,t,0,0],[r.shape[0],e,r.shape[2],r.shape[3]]);case 3:return ec(r,[0,0,t,0],[r.shape[0],r.shape[1],e,r.shape[3]]);case 4:return vv(r,t,e);default:throw new M(`The axis is not within the rank of the tensor ${n}`)}default:throw new M(`sliceAlongLastAxis() received an unsupported tensor rank: ${r.rank}`)}})}function Nm(r,t=-1){let e;return t<0&&(e=r[0].rank,e!==0?t=e:t=0),t===r[0].rank&&(t=-1),ne(r,t)}function Tv(r,t){switch(r.rank){case 1:return Ix([r,t]);case 2:return Sx([r,t],0);case 3:return vx([r,t],0);case 4:return Nx([r,t],0);default:throw new M(`concatAlongFirstAxis() received an unsupported tensor rank: ${r.rank}`)}}function Ey(r,t){if(Array.isArray(t)||(t=[t]),r.rank!==t.length)throw new M(`The length of input n (${t.length}) does not match the number of dimensions in input x (${r.rank})`);return Dr(r,t)}function Tm(r,t=0,e=1,n,o){return tc(r,t,e,n,o)}function To(r,t,e,n){if(r.rank<2||t.rank<2)throw new St(`dot requires both inputs to be rank >= 2 but got x shape = ${r.shape} and y shape = ${t.shape}`);if(t.rank>=3){let o=r.shape.slice(-1)[0],s=t.shape.slice(-2)[0];if(o!==s)throw new St(`If rank y >= 3, then the second last dim of y must equal the last dim of x but got x shape = ${r.shape} and y shape = ${t.shape}`)}if(r.rank===2&&t.rank===2)return uu.matMul({a:r,b:t,transposeA:!1,transposeB:!1,bias:n?Nv(r.rank,n,mn()):null,activation:e});{let o=r.shape.slice(),s=o.pop();r=R(r,[-1,s]);let i=t.shape.slice(),a=i.pop(),u=i.pop(),l=[...i,a],c=Array.from({length:t.rank},(d,h)=>h===0?t.rank-2:h<=t.rank-2?h-1:h);t=R(Ot(t,c),[u,-1]);let p=[...o,...l],m=!1,f=!1;return R(uu.matMul({a:r,b:t,transposeA:m,transposeB:f,bias:n?Nv(r.rank,n,mn()):null,activation:e}),p)}}function _y(r,t,e){return B(()=>(Array.isArray(t)?t=Me(t,"int32"):t=J(t,"int32"),Li(r,t,e)))}function lc(r){return D(r,r)}function Nv(r,t,e){let n=t.shape;if(t.rank!==1&&t.rank!==r)throw new M(`Unexpected bias dimensions: ${t.rank}; expected it to be 1 or ${r}`);if(r===5){if(e==="channelsFirst")return n.length===1?R(t,[1,n[0],1,1,1]):R(t,[1,n[3],n[0],n[1],n[2]]);if(e==="channelsLast")return n.length===1?R(t,[1,1,1,1,n[0]]):R(t,[1].concat(n))}else if(r===4){if(e==="channelsFirst")return n.length===1?R(t,[1,n[0],1,1]):R(t,[1,n[2],n[0],n[1]]);if(e==="channelsLast")return n.length===1?R(t,[1,1,1,n[0]]):R(t,[1].concat(n))}else if(r===3){if(e==="channelsFirst")return n.length===1?R(t,[1,n[0],1]):R(t,[1,n[1],n[0]]);if(e==="channelsLast")return n.length===1?R(t,[1,1,n[0]]):R(t,[1].concat(n))}else if(r<3)return t;throw new M(`Unsupported input rank by biasAdd: ${t.rank}`)}function fn(r,t,e){return B(()=>(e==null&&(e=mn()),Fe(e),X(r,Nv(r.rank,t,e))))}function F$(r,t=1){if(t!==1)throw new St(`Support for alpha values other than 1 (${t}) is not implemented yet.`);return Oi(r)}function O$(r){return B(()=>pt(r,X(Ee(r),1)))}function Ay(r,t,e,n){return B(()=>lv(r,t,e,n))}function P$(r){return B(()=>{let t=X(.5,D(.2,r));return Cr(t,0,1)})}function xu(r,t,e=!1){return e?r():t()}var L$=["fanIn","fanOut","fanAvg"],M$=["normal","uniform","truncatedNormal"];function A5(r){Wi(L$,"FanMode",r)}function $5(r){Wi(M$,"Distribution",r)}var dn=class extends Q.Serializable{fromConfigUsesCustomObjects(){return!1}getConfig(){return{}}},km=class extends dn{apply(t,e){return Ne(t,e)}};km.className="Zeros";Q.registerClass(km);var yu=class extends dn{apply(t,e){return cr(t,e)}};yu.className="Ones";Q.registerClass(yu);var Em=class extends dn{constructor(t){if(super(),typeof t!="object")throw new M(`Expected argument of type ConstantConfig but got ${t}`);if(t.value===void 0)throw new M(`config must have value set but got ${t}`);this.value=t.value}apply(t,e){return B(()=>D(mt(this.value),cr(t,e)))}getConfig(){return{value:this.value}}};Em.className="Constant";Q.registerClass(Em);var _m=class extends dn{constructor(t){super(),this.DEFAULT_MINVAL=-.05,this.DEFAULT_MAXVAL=.05,this.minval=t.minval||this.DEFAULT_MINVAL,this.maxval=t.maxval||this.DEFAULT_MAXVAL,this.seed=t.seed}apply(t,e){return zi(t,this.minval,this.maxval,e)}getConfig(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}}};_m.className="RandomUniform";Q.registerClass(_m);var Am=class extends dn{constructor(t){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=t.mean||this.DEFAULT_MEAN,this.stddev=t.stddev||this.DEFAULT_STDDEV,this.seed=t.seed}apply(t,e){if(e=e||"float32",e!=="float32"&&e!=="int32")throw new St(`randomNormal does not support dType ${e}.`);return Tm(t,this.mean,this.stddev,e,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};Am.className="RandomNormal";Q.registerClass(Am);var $m=class extends dn{constructor(t){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=t.mean||this.DEFAULT_MEAN,this.stddev=t.stddev||this.DEFAULT_STDDEV,this.seed=t.seed}apply(t,e){if(e=e||"float32",e!=="float32"&&e!=="int32")throw new St(`truncatedNormal does not support dType ${e}.`);return bm(t,this.mean,this.stddev,e,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};$m.className="TruncatedNormal";Q.registerClass($m);var Dm=class extends dn{constructor(t){super(),this.gain=t.gain!=null?t.gain:1}apply(t,e){return B(()=>{if(t.length!==2||t[0]!==t[1])throw new M("Identity matrix initializer can only be used for 2D square matrices.");return D(this.gain,Yu(t[0]))})}getConfig(){return{gain:this.gain}}};Dm.className="Identity";Q.registerClass(Dm);function D5(r,t="channelsLast"){let e,n;if(Fe(t),r.length===2)e=r[0],n=r[1];else if([3,4,5].indexOf(r.length)!==-1){if(t==="channelsFirst"){let o=No(r,2);e=r[1]*o,n=r[0]*o}else if(t==="channelsLast"){let o=No(r,0,r.length-2);e=r[r.length-2]*o,n=r[r.length-1]*o}}else{let o=No(r);e=Math.sqrt(o),n=Math.sqrt(o)}return[e,n]}var qr=class extends dn{constructor(t){if(super(),t.scale<0)throw new M(`scale must be a positive float. Got: ${t.scale}`);this.scale=t.scale==null?1:t.scale,this.mode=t.mode==null?"fanIn":t.mode,A5(this.mode),this.distribution=t.distribution==null?"normal":t.distribution,$5(this.distribution),this.seed=t.seed}apply(t,e){let n=D5(t),o=n[0],s=n[1],i=this.scale;if(this.mode==="fanIn"?i/=Math.max(1,o):this.mode==="fanOut"?i/=Math.max(1,s):i/=Math.max(1,(o+s)/2),this.distribution==="normal"){let a=Math.sqrt(i);if(e=e||"float32",e!=="float32"&&e!=="int32")throw new St(`${this.getClassName()} does not support dType ${e}.`);return bm(t,0,a,e,this.seed)}else{let a=Math.sqrt(3*i);return zi(t,-a,a,e)}}getConfig(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}}};qr.className="VarianceScaling";Q.registerClass(qr);var uc=class extends qr{constructor(t){super({scale:1,mode:"fanAvg",distribution:"uniform",seed:t==null?null:t.seed})}getClassName(){return qr.className}};uc.className="GlorotUniform";Q.registerClass(uc);var cc=class extends qr{constructor(t){super({scale:1,mode:"fanAvg",distribution:"normal",seed:t==null?null:t.seed})}getClassName(){return qr.className}};cc.className="GlorotNormal";Q.registerClass(cc);var pc=class extends qr{constructor(t){super({scale:2,mode:"fanIn",distribution:"normal",seed:t==null?null:t.seed})}getClassName(){return qr.className}};pc.className="HeNormal";Q.registerClass(pc);var mc=class extends qr{constructor(t){super({scale:2,mode:"fanIn",distribution:"uniform",seed:t==null?null:t.seed})}getClassName(){return qr.className}};mc.className="HeUniform";Q.registerClass(mc);var fc=class extends qr{constructor(t){super({scale:1,mode:"fanIn",distribution:"normal",seed:t==null?null:t.seed})}getClassName(){return qr.className}};fc.className="LeCunNormal";Q.registerClass(fc);var dc=class extends qr{constructor(t){super({scale:1,mode:"fanIn",distribution:"uniform",seed:t==null?null:t.seed})}getClassName(){return qr.className}};dc.className="LeCunNormal";Q.registerClass(dc);var Rm=class extends dn{constructor(t){if(super(),this.DEFAULT_GAIN=1,this.gain=t.gain==null?this.DEFAULT_GAIN:t.gain,this.seed=t.seed,this.seed!=null)throw new St("Random seed is not implemented for Orthogonal Initializer yet.")}apply(t,e){return B(()=>{if(t.length<2)throw new St("Shape must be at least 2D.");t[0]*t[1]>2e3&&console.warn(`Orthogonal initializer is being called on a matrix with more than 2000 (${t[0]*t[1]}) elements: Slowness may result.`);let n=t[0]>t[1]?[t[1],t[0]]:t,o=Tm(n,0,1,"float32"),s=pv.gramSchmidt(o);return t[0]>t[1]&&(s=Ot(s)),D(this.gain,s)})}getConfig(){return{gain:this.gain,seed:this.seed}}};Rm.className="Orthogonal";Q.registerClass(Rm);var z$={constant:"Constant",glorotNormal:"GlorotNormal",glorotUniform:"GlorotUniform",heNormal:"HeNormal",heUniform:"HeUniform",identity:"Identity",leCunNormal:"LeCunNormal",leCunUniform:"LeCunUniform",ones:"Ones",orthogonal:"Orthogonal",randomNormal:"RandomNormal",randomUniform:"RandomUniform",truncatedNormal:"TruncatedNormal",varianceScaling:"VarianceScaling",zeros:"Zeros"};function B$(r,t={}){return Gi(r,Q.SerializationMap.getMap().classNameMap,t,"initializer")}function Te(r){return Sm(r)}function de(r){if(typeof r=="string"){let t=r in z$?z$[r]:r;if(t==="GlorotNormal")return new cc;if(t==="GlorotUniform")return new uc;if(t==="HeNormal")return new pc;if(t==="HeUniform")return new mc;if(t==="LeCunNormal")return new fc;if(t==="LeCunUniform")return new dc;{let e={};return e.className=t,e.config={},B$(e)}}else return r instanceof dn?r:B$(r)}function $y(r){return Array.isArray(r)&&Array.isArray(r[0])}function Fm(r){return r.length===0?[]:Array.isArray(r[0])?r:[r]}function Nt(r){let t;if(Array.isArray(r)){if(r.length!==1)throw new M(`Expected Tensor length to be 1; got ${r.length}`);t=r[0]}else t=r;return t}function Bt(r){if(Array.isArray(r)&&Array.isArray(r[0])){if(r.length===1)return r=r,r[0];throw new M(`Expected exactly 1 Shape; got ${r.length}`)}else return r}function Om(r){let t=0;for(let e of r)e.shape.length===0?t+=1:t+=e.shape.reduce((n,o)=>n*o);return t}var G$="Variable",Ch=class{constructor(t,e="float32",n=G$,o=!0,s=null){this.dtype=e==null?"float32":e,this.shape=t.shape,this.id=vy(),n=n==null?G$:n,this.originalName=Ny(n),this.name=Ty(this.originalName),this.trainable_=o,this.constraint=s,this.val=iy(t,this.trainable_,this.name,this.dtype)}read(){return this.assertNotDisposed(),this.val}write(t){return this.assertNotDisposed(),F5(this.val,t),this.val.id!==t.id&&(this.val.assign(t),this.constraint!=null&&this.val.assign(this.constraint.apply(this.val))),this}dispose(){this.assertNotDisposed(),this.val.dispose()}assertNotDisposed(){if(this.val.isDisposed)throw new Error(`LayersVariable ${this.name} is already disposed.`)}get trainable(){return this.trainable_}set trainable(t){this.trainable_=t,this.val.trainable=t}};function F5(r,t){if(r.shape.toString()!==t.shape.toString())throw new Error("Shape mismatch: "+JSON.stringify(r.shape)+" vs. "+JSON.stringify(t.shape))}function Ih(r){return r.map(t=>t.read())}function Pm(r){r.forEach(t=>{t[0].write(t[1])})}var ye=class{constructor(t){this.dtype=t.dtype,this.shape=t.shape,t.shape!=null?this.ndim=t.shape.length:this.ndim=t.ndim,this.maxNDim=t.maxNDim,this.minNDim=t.minNDim,this.axes=t.axes||{}}},Jr=class{constructor(t,e,n,o,s,i,a){this.dtype=t,this.shape=e,this.sourceLayer=n,this.inputs=o,this.callArgs=s,this.outputTensorIndex=a,this.id=vy(),i!=null&&(this.originalName=Ny(i),this.name=Ty(this.originalName)),this.rank=e.length}},O5=0,ol=class{constructor(t,e){this.callArgs=e,this.id=O5++,this.outboundLayer=t.outboundLayer,this.inboundLayers=t.inboundLayers,this.nodeIndices=t.nodeIndices,this.tensorIndices=t.tensorIndices,this.inputTensors=t.inputTensors,this.outputTensors=t.outputTensors,this.inputMasks=t.inputMasks,this.outputMasks=t.outputMasks,this.inputShapes=t.inputShapes,this.outputShapes=t.outputShapes;for(let n of t.inboundLayers)n!=null&&n.outboundNodes.push(this);t.outboundLayer.inboundNodes.push(this)}getConfig(){let t=[];for(let e of this.inboundLayers)e!=null?t.push(e.name):t.push(null);return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:t,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}}},P5=0,$t=class extends Q.Serializable{constructor(t={}){super(),this._callHook=null,this._addedWeightNames=[],this._stateful=!1,this.id=P5++,this.activityRegularizer=null,this.inputSpec=null,this.supportsMasking=!1,this._trainableWeights=[],this._nonTrainableWeights=[],this._losses=[],this._updates=[],this._built=!1,this.inboundNodes=[],this.outboundNodes=[];let e=t.name;if(!e){let n=this.getClassName();e=So(n)+"_"+gu(n)}if(this.name=e,this.trainable_=t.trainable==null?!0:t.trainable,t.inputShape!=null||t.batchInputShape!=null){let n;if(t.batchInputShape!=null)n=t.batchInputShape;else if(t.inputShape!=null){let s=null;t.batchSize!=null&&(s=t.batchSize),n=[s].concat(t.inputShape)}this.batchInputShape=n;let o=t.dtype;o==null&&(o=t.inputDType),o==null&&(o="float32"),this.dtype=o}t.weights!=null?this.initialWeights=t.weights:this.initialWeights=null,this._refCount=null,this.fastWeightInitDuringBuild=!1}static nodeKey(t,e){return t.name+"_ib-"+e.toString()}getNodeAtIndex(t,e){if(this.inboundNodes.length===0)throw new Hr(`The layer has never been called and thus has no defined ${e}.`);if(this.inboundNodes.length<=t)throw new M(`Asked to get ${e} at node ${t}, but the layer has only ${this.inboundNodes.length} inbound nodes.`);return this.inboundNodes[t]}getInputAt(t){return Nr(this.getNodeAtIndex(t,"input").inputTensors)}getOutputAt(t){return Nr(this.getNodeAtIndex(t,"output").outputTensors)}get input(){if(this.inboundNodes.length>1)throw new vn(`Layer ${this.name} has multiple inbound nodes, hence the notion of "layer input" is ill-defined. Use \`getInputAt(nodeIndex)\` instead.`);if(this.inboundNodes.length===0)throw new vn(`Layer ${this.name} is not connected, no input to return.`);return Nr(this.getNodeAtIndex(0,"input").inputTensors)}get output(){if(this.inboundNodes.length===0)throw new vn(`Layer ${this.name} has no inbound nodes.`);if(this.inboundNodes.length>1)throw new vn(`Layer ${this.name} has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use \`getOutputAt(nodeIndex)\` instead.`);return Nr(this.getNodeAtIndex(0,"output").outputTensors)}get losses(){return this._losses}calculateLosses(){return this.losses.map(t=>t())}get updates(){return this._updates}get built(){return this._built}set built(t){this._built=t}get trainable(){return this.trainable_}set trainable(t){this._trainableWeights.forEach(e=>e.trainable=t),this.trainable_=t}get trainableWeights(){return this.trainable_?this._trainableWeights.filter(t=>t.trainable):[]}set trainableWeights(t){this._trainableWeights=t}get nonTrainableWeights(){return this.trainable?this._trainableWeights.filter(t=>!t.trainable).concat(this._nonTrainableWeights):this._trainableWeights.concat(this._nonTrainableWeights)}set nonTrainableWeights(t){this._nonTrainableWeights=t}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}get stateful(){return this._stateful}resetStates(){if(!this.stateful)throw new Error("Cannot call the resetStates() method of a non-stateful Layer object.")}assertInputCompatibility(t){if(t=xe(t),this.inputSpec==null||this.inputSpec.length===0)return;let e=xe(this.inputSpec);if(t.length!==e.length)throw new M(`Layer ${this.name} expects ${e.length} inputs, but it received ${t.length} input tensors. Input received: ${t}`);for(let n=0;ns.maxNDim)throw new M(`Input ${n} is incompatible with layer ${this.name}: expected max_ndim=${s.maxNDim}, found ndim=${i}`);if(s.minNDim!=null&&i=0?a[l]:a[a.length+l];if(c!=null&&[c,null].indexOf(p)===-1)throw new M(`Input ${n} is incompatible with layer ${this.name}: expected axis ${l} of input shape to have value ${c} but got shape ${a}.`)}}if(s.shape!=null)for(let a=0;a{if(!this.built){this.assertInputCompatibility(t);let i=[];for(let a of xe(t))i.push(a.shape);this.build(Nr(i)),this.built=!0,this.initialWeights&&this.setWeights(this.initialWeights),this._refCount===null&&s&&(this._refCount=1)}if(this.assertInputCompatibility(t),s){let i=this.call(t,e),a=xe(i),u=[];for(let l of a)n.indexOf(l)!==-1&&(l=l.clone()),u.push(l);if(i=Nr(u),this.activityRegularizer!=null)throw new St("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return i}else{let i=L5(t),a=this.computeOutputShape(i),u,l=M5(t);if(this.warnOnIncompatibleInputShape(Array.isArray(t)?i[0]:i),a!=null&&a.length>0&&Array.isArray(a[0])?u=a.map((c,p)=>new Jr(l,c,this,xe(t),e,this.name,p)):u=new Jr(l,a,this,xe(t),e,this.name),this.addInboundNode(t,u,null,null,i,a,e),this._refCount++,this.activityRegularizer!=null)throw new St("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return u}})}warnOnIncompatibleInputShape(t){if(this.batchInputShape!=null)if(t.length!==this.batchInputShape.length)console.warn(`The rank of the input tensor provided (shape: ${JSON.stringify(t)}) does not match that of the batchInputShape (${JSON.stringify(this.batchInputShape)}) of the layer ${this.name}`);else{let e=!1;this.batchInputShape.forEach((n,o)=>{n!=null&&t[o]!=null&&t[o]!==n&&(e=!0)}),e&&console.warn(`The shape of the input tensor (${JSON.stringify(t)}) does not match the expectation of layer ${this.name}: ${JSON.stringify(this.batchInputShape)}`)}}get outputShape(){if(this.inboundNodes==null||this.inboundNodes.length===0)throw new vn(`The layer ${this.name} has never been called and thus has no defined output shape.`);let t=[];for(let e of this.inboundNodes){let n=JSON.stringify(e.outputShapes);t.indexOf(n)===-1&&t.push(n)}if(t.length===1){let e=this.inboundNodes[0].outputShapes;return Array.isArray(e)&&Array.isArray(e[0])&&e.length===1?e[0]:e}else throw new vn(`The layer ${this.name} has multiple inbound nodes with different output shapes. Hence the notion of "output shape" is ill-defined for the layer.`)}countParams(){if(!this.built)throw new Hr(`You tried to call countParams() on ${this.name}, but the layer is not built yet. Build it first by calling build(batchInputShape).`);return Om(this.weights)}build(t){this.built=!0}getWeights(t=!1){return Ih(t?this.trainableWeights:this.weights)}setWeights(t){B(()=>{let e=this.weights;if(e.length!==t.length)throw new M(`You called setWeights(weights) on layer "${this.name}" with a weight list of length ${t.length}, but the layer was expecting ${e.length} weights. Provided weights: ${t}...`);if(e.length===0)return;let n=[],o=Ih(e);for(let s=0;ss.apply(c.read())),i==null&&(i=!0),i?this._trainableWeights.push(c):this._nonTrainableWeights.push(c),c}setFastWeightInitDuringBuild(t){this.fastWeightInitDuringBuild=t}addLoss(t){t==null||Array.isArray(t)&&t.length===0||(t=xe(t),this._losses!==void 0&&this._losses!==null&&this.losses.push(...t))}computeOutputShape(t){return t}computeMask(t,e){if(!this.supportsMasking){if(e!=null)if(Array.isArray(e))e.forEach(n=>{if(n!=null)throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`)});else throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`);return null}return e}addInboundNode(t,e,n,o,s,i,a=null){let u=xe(t);e=xe(e),n=xe(n),o=xe(o),s=Fm(s),i=Fm(i);let l=[],c=[],p=[];for(let m of u)l.push(m.sourceLayer),c.push(m.nodeIndex),p.push(m.tensorIndex);new ol({outboundLayer:this,inboundLayers:l,nodeIndices:c,tensorIndices:p,inputTensors:u,outputTensors:e,inputMasks:n,outputMasks:o,inputShapes:s,outputShapes:i},a);for(let m=0;mt.dispose()),this.weights.length}assertNotDisposed(){if(this._refCount===0)throw new Error(`Layer '${this.name}' is already disposed.`)}dispose(){if(!this.built)throw new Error(`Cannot dispose Layer ${this.name} because it has not been built yet.`);if(this._refCount===null)throw new Error(`Cannot dispose Layer ${this.name} because it has not been used yet.`);this.assertNotDisposed();let t=0;return--this._refCount===0&&(t=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:t}}};function L5(r){r=xe(r);let t=[];for(let e of r)t.push(e.shape);return Nr(t)}function M5(r){return"float32"}function kv(r,t,e){if((t==null||e!=null&&e>0)&&(t=r.sourceLayer,e=r.nodeIndex),t.inboundNodes.length===0)return[r];{let n=t.inboundNodes[e];if(n.inboundLayers.length===0)return n.inputTensors;{let o=[];for(let s=0;sd.name),u=[],l=t.names();for(let d of a)l.indexOf(d)!==-1?u.push(t.getValue(d)):u.push(null);n!=null&&(n.maxNumTensors=-1/0,n.minNumTensors=1/0);let c=a.join(",")+"|"+t.names().sort().join(","),p=Ry.get(c),m;if(p==null){let d=B5(i,t);p=d.sorted,m=d.recipientCounts,Ry.put(c,p),Fy.put(c,m)}m={},o||Object.assign(m,Fy.get(c));let f=new ko(t);for(let d=0;dn.maxNumTensors&&(n.maxNumTensors=F),F0,()=>"Expected at least one fetch, got none");let e=[],n={};if(r.length===1){let o=W$(r[0],t);e=o.sorted,n=o.recipientMap}else{let o=new Set;for(let s of r){let{sorted:i,recipientMap:a}=W$(s,t);for(let u of i)o.has(u.name)||(e.push(u),o.add(u.name));for(let u in a)n[u]==null&&(n[u]=new Set),a[u].forEach(l=>n[u].add(l))}}return{sorted:e,recipientCounts:V5(n)}}function V5(r){let t={};for(let e in r)t[e]=r[e].size;return t}function W$(r,t){let e=new Set,n=[],o={};for(let a of t.names())e.add(a);let s=[],i=[];for(s.push(r);s.length>0;){let a=s[s.length-1];if(e.has(a.name)){s.pop();continue}let u=i[i.length-1]===s.length-1;if(a.inputs.length===0||u)s.pop(),n.push(a),e.add(a.name),u&&i.pop();else{i.push(s.length-1);for(let l of a.inputs)o[l.name]==null&&(o[l.name]=new Set),o[l.name].add(a.name),!e.has(l.name)&&s.push(l)}}return{sorted:n,recipientMap:o}}function G5(r){let t;if(r.sourceLayer.inboundNodes.length===1)t=r.sourceLayer.output;else{let e=null;for(let n=0;n100,U$);var K$={};Wt(K$,{maxNorm:()=>U5,minMaxNorm:()=>K5,nonNeg:()=>q5,unitNorm:()=>H5});function Ev(r,t){return B(()=>Se(ft(D(r,r),t,!0)))}var gc=class extends Q.Serializable{getConfig(){return{}}},Lm=class extends gc{constructor(t){super(),this.defaultMaxValue=2,this.defaultAxis=0,this.maxValue=t.maxValue!=null?t.maxValue:this.defaultMaxValue,this.axis=t.axis!=null?t.axis:this.defaultAxis}apply(t){return B(()=>{let e=Ev(t,this.axis),n=Cr(e,0,this.maxValue);return D(t,pt(n,X(ir(),e)))})}getConfig(){return{maxValue:this.maxValue,axis:this.axis}}};Lm.className="MaxNorm";Q.registerClass(Lm);var Mm=class extends gc{constructor(t){super(),this.defaultAxis=0,this.axis=t.axis!=null?t.axis:this.defaultAxis}apply(t){return B(()=>pt(t,X(ir(),Ev(t,this.axis))))}getConfig(){return{axis:this.axis}}};Mm.className="UnitNorm";Q.registerClass(Mm);var zm=class extends gc{apply(t){return Fr(t)}};zm.className="NonNeg";Q.registerClass(zm);var Bm=class extends gc{constructor(t){super(),this.defaultMinValue=0,this.defaultMaxValue=1,this.defaultRate=1,this.defaultAxis=0,this.minValue=t.minValue!=null?t.minValue:this.defaultMinValue,this.maxValue=t.maxValue!=null?t.maxValue:this.defaultMaxValue,this.rate=t.rate!=null?t.rate:this.defaultRate,this.axis=t.axis!=null?t.axis:this.defaultAxis}apply(t){return B(()=>{let e=Ev(t,this.axis),n=X(D(this.rate,Cr(e,this.minValue,this.maxValue)),D(1-this.rate,e));return D(t,pt(n,X(ir(),e)))})}getConfig(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}}};Bm.className="MinMaxNorm";Q.registerClass(Bm);var H$={maxNorm:"MaxNorm",minMaxNorm:"MinMaxNorm",nonNeg:"NonNeg",unitNorm:"UnitNorm"};function ze(r){return Sm(r)}function q$(r,t={}){return Gi(r,Q.SerializationMap.getMap().classNameMap,t,"constraint")}function Be(r){if(r==null)return null;if(typeof r=="string"){let e={className:r in H$?H$[r]:r,config:{}};return q$(e)}else return r instanceof gc?r:q$(r)}function U5(r){return new Lm(r)}function H5(r){return new Mm(r)}function q5(){return new zm}function K5(r){return new Bm(r)}var j$={};Wt(j$,{constant:()=>Y5,glorotNormal:()=>n8,glorotUniform:()=>r8,heNormal:()=>o8,heUniform:()=>s8,identity:()=>t8,leCunNormal:()=>i8,leCunUniform:()=>a8,ones:()=>X5,orthogonal:()=>l8,randomNormal:()=>J5,randomUniform:()=>Z5,truncatedNormal:()=>Q5,varianceScaling:()=>e8,zeros:()=>j5});function j5(){return new km}function X5(){return new yu}function Y5(r){return new Em(r)}function Z5(r){return new _m(r)}function J5(r){return new Am(r)}function Q5(r){return new $m(r)}function t8(r){return new Dm(r)}function e8(r){return new qr(r)}function r8(r){return new uc(r)}function n8(r){return new cc(r)}function o8(r){return new pc(r)}function s8(r){return new mc(r)}function i8(r){return new fc(r)}function a8(r){return new dc(r)}function l8(r){return new Rm(r)}var ED={};Wt(ED,{Layer:()=>$t,RNN:()=>Tn,RNNCell:()=>ll,activation:()=>vY,add:()=>RY,alphaDropout:()=>gZ,average:()=>FY,averagePooling1d:()=>Gv,averagePooling2d:()=>Wv,averagePooling3d:()=>Uv,avgPool1d:()=>WY,avgPool2d:()=>HY,avgPool3d:()=>KY,avgPooling1d:()=>UY,avgPooling2d:()=>qY,avgPooling3d:()=>jY,batchNormalization:()=>BY,bidirectional:()=>lZ,categoryEncoding:()=>wZ,concatenate:()=>OY,conv1d:()=>hY,conv2d:()=>gY,conv2dTranspose:()=>xY,conv3d:()=>yY,conv3dTranspose:()=>bY,convLstm2d:()=>oZ,convLstm2dCell:()=>sZ,cropping2D:()=>CY,dense:()=>NY,depthwiseConv2d:()=>SY,dot:()=>zY,dropout:()=>TY,elu:()=>uY,embedding:()=>DY,flatten:()=>EY,gaussianDropout:()=>hZ,gaussianNoise:()=>dZ,globalAveragePooling1d:()=>XY,globalAveragePooling2d:()=>YY,globalMaxPool1d:()=>cZ,globalMaxPool2d:()=>pZ,globalMaxPooling1d:()=>vD,globalMaxPooling2d:()=>ND,gru:()=>JY,gruCell:()=>QY,input:()=>Pv,inputLayer:()=>lY,layerNormalization:()=>VY,leakyReLU:()=>pY,lstm:()=>tZ,lstmCell:()=>eZ,masking:()=>xZ,maxPool1d:()=>mZ,maxPool2d:()=>fZ,maxPooling1d:()=>TD,maxPooling2d:()=>kD,maxPooling3d:()=>ZY,maximum:()=>PY,minimum:()=>LY,multiply:()=>MY,permute:()=>$Y,prelu:()=>mY,reLU:()=>cY,repeatVector:()=>_Y,rescaling:()=>yZ,reshape:()=>AY,resizing:()=>bZ,rnn:()=>iZ,separableConv2d:()=>wY,simpleRNN:()=>rZ,simpleRNNCell:()=>nZ,softmax:()=>fY,spatialDropout1d:()=>kY,stackedRNNCells:()=>aZ,thresholdedReLU:()=>dY,timeDistributed:()=>uZ,upSampling2d:()=>IY,zeroPadding2d:()=>GY});async function Ui(r){if(r==null)return;let t=[],e=[],n=[];for(let o in r){let s=r[o];if(typeof s!="number"){let i=s;t.push(i.data()),e.push(o),n.push(i)}}if(t.length>0){let o=await Promise.all(t);for(let s=0;sX(this.totals[o],D(s,n)));this.totals[o]=a,i!=null&&i.dispose()}}}async onEpochEnd(t,e){if(e!=null)for(let n of this.params.metrics)this.totals[n]!=null&&(typeof this.totals[n]=="number"?e[n]=this.totals[n]/this.seen:B(()=>{let o=D(pt(1,this.seen),this.totals[n]);e[n]=o,this.totals[n].dispose(),De(e[n])}))}},Ly=class extends sl{async onTrainBegin(t){this.epoch=[],this.history={}}async onEpochEnd(t,e){e==null&&(e={}),this.epoch.push(t);for(let n in e)this.history[n]==null&&(this.history[n]=[]),this.history[n].push(e[n])}async syncData(){let t=[],e=[],n=[];for(let s in this.history){let i=this.history[s];for(let a=0;anew My(n,t))}var hn=class{constructor(){}static registerCallbackConstructor(t,e){y.assert(t>=0&&Number.isInteger(t),()=>`Verbosity level is expected to be an integer >= 0, but got ${t}`),hn.checkForDuplicate(e),hn.constructors[t]==null&&(hn.constructors[t]=[]),hn.constructors[t].push(e)}static checkForDuplicate(t){for(let e in hn.constructors)hn.constructors[+e].forEach(o=>{if(o===t)throw new M("Duplicate callback constructor.")})}static clear(){hn.constructors={}}static createCallbacks(t){let e=[];for(let n in hn.constructors){let o=+n;t>=o&&e.push(...hn.constructors[o])}return e.map(n=>new n)}};hn.constructors={};function By(r,t,e,n,o,s,i,a,u){let l=new Ly,c=[new _v,...hn.createCallbacks(t)];r!=null&&c.push(...r),c.push(l);let p=new Py(c);return p.setParams({epochs:e,initialEpoch:n,samples:o,steps:s,batchSize:i,verbose:t,doValidation:a,metrics:u}),{callbackList:p,history:l}}function gn(r,t={},e=!1){return Gi(r,Q.SerializationMap.getMap().classNameMap,t,"layer",e)}function Sh(r,t){return B(()=>{r.dtype!=="float32"&&(r=J(r,"float32"));let e=ft(lc(r),t,!0),n=xo(e.shape,ir()),o=Se(Sn(e,n));return pt(r,o)})}function Hi(r,t){return B(()=>ve(lc(ct(t,r)),-1))}function Vm(r,t){return B(()=>ve(Ee(ct(t,r)),-1))}function bu(r,t){return B(()=>{let e=ct(r,t),n=Cr(Ee(r),ir(),Number.MAX_VALUE),o=Ee(pt(e,n));return D(100,ve(o,-1))})}function c8(r,t){return B(()=>{let e=Cr(t,ir(),Number.MAX_VALUE),n=Sr(X(1,e)),o=Cr(r,ir(),Number.MAX_VALUE),s=Sr(X(1,o));return ve(lc(ct(n,s)),-1)})}function p8(r,t){return B(()=>{let e=Sn(0,ct(1,D(r,t)));return ve(lc(e),-1)})}function m8(r,t){return B(()=>{let e=Sn(0,ct(1,D(r,t)));return ve(e,-1)})}function f8(r,t){return B(()=>{let e=ft(D(r,t),-1),n=Ir(D(ct(1,r),t),-1);return Sn(0,X(1,ct(n,e)))})}function d8(r,t){return B(()=>{let e=Math.log(2),n=ct(t,r),o=ct(X(n,zs(D(-2,n))),e);return ve(o,-1)})}function xc(r,t,e=!1){return B(()=>{if(e)t=iu(t);else{let n=ft(t,t.shape.length-1,!0);t=pt(t,n)}return t=Cr(t,ir(),1-ir()),Ht(ft(D(J(r,"float32"),Sr(t)),t.shape.length-1))})}function Gm(r,t,e=!1){return B(()=>{let n=J(Pi(D$(r)),"int32");t=Cr(t,ir(),1-ir());let o=t.shape,s=R(Ei(n,o[o.length-1]),o);return xc(s,t,e)})}function h8(r,t){if(!y.arraysEqual(r.shape,t.shape))throw new M(`logits and labels must have the same shape, but got shapes ${JSON.stringify(r.shape)} and ${JSON.stringify(t.shape)}`);return B(()=>{let e=Fr(t),n=Ht(Ee(t));return X(ct(e,D(t,r)),tu(er(n)))})}function Wm(r,t){return B(()=>{let e;return e=Cr(t,ir(),1-ir()),e=Sr(pt(e,ct(1,e))),ve(h8(r,e),-1)})}function g8(r,t){return B(()=>{let e=Cr(r,ir(),1),n=Cr(t,ir(),1);return ft(D(r,Sr(pt(e,n))),-1)})}function x8(r,t){return B(()=>{let e=Sr(X(ir(),t));return ve(ct(t,D(r,e)),-1)})}function Nh(r,t){return B(()=>{let e=Sh(r,-1),n=Sh(t,-1),o=D(e,n);return Ht(ft(o,-1))})}var vh={meanSquaredError:Hi,meanAbsoluteError:Vm,meanAbsolutePercentageError:bu,meanSquaredLogarithmicError:c8,squaredHinge:p8,hinge:m8,categoricalHinge:f8,logcosh:d8,categoricalCrossentropy:xc,sparseCategoricalCrossentropy:Gm,binaryCrossentropy:Wm,kullbackLeiblerDivergence:g8,poisson:x8,cosineProximity:Nh};function Vy(r){if(typeof r=="string"){if(r in vh)return vh[r];let t=`Unknown loss ${r}`;throw r.toLowerCase().includes("softmaxcrossentropy")&&(t=`Unknown loss ${r}. Use "categoricalCrossentropy" as the string name for tf.losses.softmaxCrossEntropy`),new M(t)}else return r}function Th(r,t){return B(()=>{let e=D(.5,yr(t)),n=no(Re(t,e),r.dtype);return ve($r(r,n),-1)})}function kh(r,t){return B(()=>no($r(Ai(r,-1),Ai(t,-1)),"float32"))}function Z$(r,t){return B(()=>J(ft(Rr($r(r,1),$r(t,1))),"float32"))}function y8(r,t){return B(()=>J(ft(Rr($r(r,1),$r(t,0))),"float32"))}function b8(r,t){return B(()=>J(ft(Rr($r(r,0),$r(t,1))),"float32"))}function Av(r,t){return B(()=>{let e=Z$(r,t),n=b8(r,t),o=X(e,n);return J(_e(Re(o,0),pt(e,o),0),"float32")})}function J$(r,t){return B(()=>{let e=Z$(r,t),n=y8(r,t),o=X(e,n);return J(_e(Re(o,0),pt(e,o),0),"float32")})}function Wy(r,t){return Wm(r,t)}function Uy(r,t){return r.rank===t.rank&&(r=Mn(r,[r.rank-1])),t=Ai(t,-1),t.dtype!==r.dtype&&(t=J(t,r.dtype)),J($r(r,t),"float32")}var w8=Hi,C8=Hi,I8=Vm,S8=Vm,v8=bu,N8=bu,Eh=xc,T8=Nh,$v=Gm,Gy={binaryAccuracy:Th,categoricalAccuracy:kh,precision:Av,categoricalCrossentropy:Eh,sparseCategoricalCrossentropy:$v,mse:w8,MSE:C8,mae:I8,MAE:S8,mape:v8,MAPE:N8,cosine:T8};function Q$(r){if(typeof r=="string"&&r in Gy)return Gy[r];if(typeof r!="string"&&r!=null)return r;throw new M(`Unknown metric ${r}`)}function _h(r){if(ro(r!==null,`Unknown LossOrMetricFn ${r}`),typeof r=="string")return r;{let t;for(let e of Object.keys(vh))if(vh[e]===r){t=e;break}if(t!==void 0)return t;for(let e of Object.keys(Gy))if(Gy[e]===r){t=e;break}return t!==void 0?t:r.name}}function eD(r){let t={Adagrad:()=>ic.adagrad(.01),Adadelta:()=>ic.adadelta(1,.95,ir()),Adam:()=>ic.adam(.001,.9,.999,ir()),Adamax:()=>ic.adamax(.002,.9,.999,ir(),0),RMSProp:()=>ic.rmsprop(.001,.9,0,ir()),SGD:()=>ic.sgd(.01)};if(t.adagrad=t.Adagrad,t.adadelta=t.Adadelta,t.adam=t.Adam,t.adamax=t.Adamax,t.rmsprop=t.RMSProp,t.sgd=t.SGD,r in t)return t[r]();throw new M(`Unknown Optimizer ${r}`)}function Rv(r,t,e=!1){if(r==null||typeof r!="object"||Object.getPrototypeOf(r)!==Object.prototype||!Dv(r))throw new Error("User-defined metadata is expected to be a JSON object, but is not.");if(e){let n=JSON.stringify(r);n.length>1048576&&console.warn(`User-defined metadata of model "${t}" is too large in size (length=${n.length} when serialized). It is not recommended to store such large objects in user-defined metadata. Please make sure its serialized length is <= ${1048576}.`)}}function Dv(r){if(r===null)return!0;if(typeof r=="object")if(Object.getPrototypeOf(r)===Object.prototype){let t=Object.keys(r);for(let e of t)if(typeof e!="string"||!Dv(r[e]))return!1;return!0}else if(Array.isArray(r)){for(let t of r)if(!Dv(t))return!1;return!0}else return!1;else{let t=typeof r;return t==="string"||t==="number"||t==="boolean"}}function rD(r,t,e,n=console.log){let o=_8(r),s=["Layer (type)","Input Shape","Output shape","Param #"];o?(t=t||90,e=e||[.32,.61,.89,1]):(t=t||115,e=e||[.24,.48,.7,.8,1]),e[e.length-1]<=1&&(e=e.map(c=>Math.floor(t*c)));let i;if(!o){s.push("Receives inputs"),i=[];for(let c in r.nodesByDepth)i.push(...r.nodesByDepth[c])}n("_".repeat(t)),Hy(s,e,n),n("=".repeat(t));let a=r.layers;for(let c=0;c1||o.length===1&&o[0].inboundLayers.length>1){t=!1;break}n.push(...o)}if(t)for(let o of r.layers){let s=!1;for(let i of o.inboundNodes)if(n.indexOf(i)!==-1)if(s){t=!1;break}else s=!0;if(!t)break}return t}function Hy(r,t,e=console.log){let n="";for(let o=0;o0&&(n=n.slice(0,n.length-1)+" "),n+=r[o],n=n.slice(0,t[o]),n+=" ".repeat(t[o]-n.length);e(n)}function A8(r,t,e){let n,o;try{o=r.inboundNodes.map(u=>JSON.stringify(u.inputShapes)).join(",")}catch(u){o="multiple"}try{n=JSON.stringify(r.outputShape)}catch(u){n="multiple"}let s=r.name,i=r.getClassName(),a=[`${s} (${i})`,o,n,r.countParams().toString()];Hy(a,t,e)}function $8(r,t,e,n){let o,s;try{s=r.inboundNodes.map(p=>JSON.stringify(p.inputShapes)).join(",")}catch(p){s="multiple"}try{o=JSON.stringify(r.outputShape)}catch(p){o="multiple"}let i=[];for(let p of r.inboundNodes)if(!(e!=null&&e.length>0&&e.indexOf(p)===-1))for(let m=0;mb.name)}`);vo(this.outputs).length!==this.outputs.length&&console.warn(`The list of outputs passed to the model is redundant. All outputs should only appear once. Found: ${this.outputs.map(b=>b.name)}`),this.inputLayers=[],this.inputLayersNodeIndices=[],this.inputLayersTensorIndices=[],this.outputLayers=[],this.outputLayersNodeIndices=[],this.outputLayersTensorIndices=[],this.layers=[],this.internalContainerRefs=[];for(let b of this.outputs){let w=b.sourceLayer,C=b.nodeIndex,N=b.tensorIndex;this.outputLayers.push(w),this.outputLayersNodeIndices.push(C),this.outputLayersTensorIndices.push(N)}for(let b of this.inputs){let w=b.sourceLayer,C=b.nodeIndex,N=b.tensorIndex;ro(C===0,"input layer has >1 nodes"),ro(N===0,"input layer has >1 tensors"),this.inputLayers.push(w),this.inputLayersNodeIndices.push(C),this.inputLayersTensorIndices.push(N)}this.inputNames=[],this.outputNames=[],this.feedInputShapes=[],this.feedInputNames=[],this.feedOutputNames=[];for(let b=0;bb.shape),this.internalOutputShapes=this.outputs.map(b=>b.shape);let e={},n={},o={},s={},i={},a=[],u=(b,w,C,N,_,A)=>{(N==null||_==null||A==null)&&(N=b.sourceLayer,_=b.nodeIndex,A=b.tensorIndex);let $=N.inboundNodes[_];if(C.indexOf($)!==-1)throw new Hr(`The tensor ${b.name} at layer "${N.name}" is part of a cycle.`);if(w.indexOf($)!==-1)return;this.containerNodes.add(zn.nodeKey(N,_)),N.id in i||(i[N.id]=Object.keys(i).length),C.indexOf($)===-1&&C.push($);let F=$.inboundLayers.length;for(let P=0;P=0;)C.splice(C.indexOf($),1);a.push($)},l=[],c=[];for(let b of this.outputs)u(b,l,c);let p=a.slice().reverse();for(let b of p){n[b.id]=b,b.id in e||(e[b.id]=0);let w=e[b.id],C=o[b.outboundLayer.id]==null?0:o[b.outboundLayer.id];w=Math.max(w,C),o[b.outboundLayer.id]=w,s[b.outboundLayer.id]=b.outboundLayer,e[b.id]=w;for(let N=0;NparseInt(b,10)).sort(yh);this.layers=[];for(let b of d){let w=f[b];w.sort((C,N)=>{let _=i[C.id],A=i[N.id];return _A?1:0});for(let C of w)C instanceof zn&&this.internalContainerRefs.push(C),this.layers.push(C)}this.layersByDepth=f,d=Object.keys(m).map(b=>parseInt(b,10)).sort(yh);let h=this.inputs.slice(),g=[];for(let b of d)for(let w of m[b]){let C=w.outboundLayer;if(C!=null){for(let N of w.inputTensors)if(h.indexOf(N)===-1)throw new Hr(`Graph disconnected: cannot obtain value for tensor ${N} at layer "${C.name}". The following previous layers were accessed without issue: ${g}`);for(let N of w.outputTensors)h.push(N);g.push(C.name)}}this.nodesByDepth=m;let x=this.layers.map(b=>b.name);for(let b of x){let w=x.filter(C=>C===b).length;if(w!==1)throw new Hr(`The name "${b}" is used ${w} times in the model. All layer names should be unique. Layer names: `+JSON.stringify(x))}this.outboundNodes=[],this.inboundNodes=[],new ol({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:this.inputs.map(b=>null),outputMasks:this.outputs.map(b=>null),inputShapes:this.inputs.map(b=>b.shape),outputShapes:this.outputs.map(b=>b.shape)}),this.built=!0,this._refCount=1}assertNotDisposed(){if(this._refCount===0)throw new Error(`Container '${this.name}' is already disposed.`)}dispose(){this.assertNotDisposed();let t={refCountAfterDispose:null,numDisposedVariables:0};if(--this._refCount===0){for(let e of this.layers)t.numDisposedVariables+=e.dispose().numDisposedVariables;for(let e of this.internalContainerRefs)t.numDisposedVariables+=e.dispose().numDisposedVariables}return t.refCountAfterDispose=this._refCount,t}get trainable(){return this.trainable_}set trainable(t){this.layers.forEach(e=>{e._trainableWeights.forEach(n=>n.trainable=t)}),this.trainable_=t}get trainableWeights(){if(this._trainableWeights.length>0)throw new M("Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];let t=[];for(let e of this.layers)t=t.concat(e.trainableWeights);return t}get nonTrainableWeights(){let t=[];for(let e of this.layers)t.push(...e.nonTrainableWeights);if(!this.trainable){let e=[];for(let n of this.layers)e.push(...n.trainableWeights);return e.concat(t)}return t}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}loadWeights(t,e=!0){let n={},o=0;for(let i of this.layers)for(let a of i.weights){if(n[a.originalName]!=null)throw new M(`Duplicate weight name: ${a.originalName}`);n[a.originalName]=a,o++}let s=[];for(let i in t){let a=i;if(n[i]==null){let u=i.split("/");a=u.slice(0,-2).concat([u[u.length-1]]).join("/")}if(n[a]!=null)s.push([n[a],t[i]]);else if(e)throw new M(`Provided weight data has no target variable: ${i}`);delete n[a]}if(e){let i=[];for(let a in n)i.push(a);if(i.length>0)throw new M(`${i.length} of ${o} weights are not set: ${i}`)}Pm(s)}updatedConfig(){let t=this.getConfig(),e={};return e.className=this.getClassName(),e.config=t,e.kerasVersion=`tfjs-layers ${Um}`,e.backend="TensorFlow.js",e}toJSON(t,e=!0){let n=qy(this.updatedConfig());return e?JSON.stringify(n):n}call(t,e){return B(()=>{t=xe(t);let n=new ko;for(let o=0;o{t=xe(t);let n;return e==null?n=Io(null,t.length):n=xe(e),this.runInternalGraph(t,n)[1]})}computeOutputShape(t){let e=Fm(t);if(e.length!==this.inputLayers.length)throw new M(`Invalid inputShape argument ${t}: model has ${this.inputLayers.length} tensor inputs.`);let n={};for(let a=0;aparseInt(a,10)).sort(yh);if(o.length>1)for(let a of o){let u=this.nodesByDepth[a];for(let l of u){let c=l.outboundLayer;if(this.inputLayers.map(h=>h.id).indexOf(c.id)!==-1)continue;let p=[];for(let h=0;hparseInt(u,10)).sort(yh);for(let u of o){let l=this.nodesByDepth[u];for(let c of l){let p=c.outboundLayer,m=c.inputTensors,f=c.outputTensors,d=new Array;for(let h of m)h.id in n&&d.push(n[h.id]);if(d.length===m.length){let h={},g,x,b,w;if(c.callArgs!=null&&(h=c.callArgs),d.length===1){let[C,N]=d[0];h.mask==null&&(h.mask=N),b=xe(p.call(C,h)),w=xe(p.computeMask(C,N)),g=[C],x=[N]}else g=d.map(C=>C[0]),x=d.map(C=>C[1]),h.mask==null&&(h.mask=x),b=xe(p.call(g,h)),w=xe(p.computeMask(g,x));if(p.activityRegularizer)throw new St("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(let C=0;C{let t=[];for(let e of this.layers)for(let n=0;n0){let h=[];for(let g=0;g0&&g.apply(Nr(b),w)}function l(g){let x=g.name,b=gn(g,e.customObjects!=null?e.customObjects:{});b.setFastWeightInitDuringBuild(o),s[x]=b,g.inboundNodes.forEach(C=>{if(!(C instanceof Array))throw new M(`Corrupted configuration, expected array for nodeData: ${C}`);a(b,C)})}let c=e.name,p=e.layers;for(let g of p)l(g);for(;!b$(i);)for(let g of p){let x=s[g.name];if(x.name in i){let b=i[x.name];delete i[x.name];for(let w of b)u(x,w)}}let m=[],f=[],d=e.inputLayers;for(let g of d){let x=g[0],b=g[1],w=g[2];ro(x in s);let N=s[x].inboundNodes[b].outputTensors;m.push(N[w])}let h=e.outputLayers;for(let g of h){let x=g[0],b=g[1],w=g[2];ro(x in s);let N=s[x].inboundNodes[b].outputTensors;f.push(N[w])}return new t({inputs:m,outputs:f,name:c})}get stateful(){if(this._stateful)throw new M("Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");for(let t of this.layers)if(t.stateful)return!0;return!1}resetStates(){B(()=>{this.layers.forEach(t=>{t.stateful&&t.resetStates()})})}};function D8(r,t,e){let n=t.length;if(r==null||Array.isArray(r)&&r.length===0)return t.map(o=>null);if(n===1)return Array.isArray(r)&&r.length===1?r:typeof r=="object"&&t[0]in r?[r[t[0]]]:[r];if(Array.isArray(r)){if(r.length!==n)throw new Error(`Provided ${e} is an array of ${r.length} element(s), but the model has ${n} outputs. Make sure a set of weights is provided for each model output.`);return r}else if(typeof r=="object"&&Object.keys(r).length>0&&typeof r[Object.keys(r)[0]]=="object"){let o=[];return t.forEach(s=>{s in r?o.push(r[s]):o.push(null)}),o}else throw new Error(`The model has multiple (${n}) outputs, so ${e} must be either an array with ${n} elements or an object with ${t} keys. Provided ${e} not understood: ${JSON.stringify(r)}`)}function Ky(r,t){return D8(r,t,"classWeight")}async function jy(r,t,e,n){if(t!=null||n!=null)throw new Error("Support sampleWeight is not implemented yet");if(e!=null){let o=B(()=>{if(r.shape.length===1)return sn(r);if(r.shape.length===2){if(r.shape[1]>1)return Ai(r,1);if(r.shape[1]===1)return R(r,[r.shape[0]]);throw new Error(`Encountered unexpected last-dimension size (${r.shape[1]}) during handling of class weights. The size is expected to be >= 1.`)}else throw new Error(`Unexpected rank of target (y) tensor (${r.rank}) during handling of class weights. The rank is expected to be 1 or 2.`)}),s=Array.from(await o.data());vt(o);let i=[];return s.forEach(a=>{if(e[a]==null)throw new Error(`classWeight must contain all classes in the training data. The class ${a} exists in the data but not in classWeight`);i.push(e[a])}),Me(i,"float32")}else return null}function oD(r,t){return D(r,t)}var R8=32;function aD(r,t){let e,n,o=t;e=o.xs,n=o.ys,y.assert(e!=null&&n!=null,()=>`A Dataset iterator for fitDataset() is expected to generate objects of the form \`{xs: xVal, ys: yVal}\`, where the two values may be \`tf.Tensor\`, an array of Tensors, or a map of string to Tensor. The provided Dataset instead generates ${t}`);let s=sD("input",r.inputNames,e),i=sD("output",r.outputNames,n),a=s[0].shape[0];y.assert(s.length===r.inputs.length,()=>`LayersModel has ${r.inputs.length} inputs, but the dataset provides ${s.length} inputs. (Expected input keys: ${JSON.stringify(r.inputNames)})`),y.assert(i.length===r.outputs.length,()=>`LayersModel has ${r.outputs.length} outputs, but the dataset provides ${i.length} outputs. (Expected output keys: ${JSON.stringify(r.outputNames)})`);for(let u=0;u`Batch size mismatch: input ${r.inputNames[u]} has ${s[u].shape[0]}; expected ${a} based on input ${r.inputNames[0]}.`);for(let u=0;u`Batch size mismatch: output ${r.outputNames[u]} has ${i[u].shape[0]}; expected ${a} based on input ${r.inputNames[0]}.`);return{xs:s,ys:i}}function sD(r,t,e){if(e instanceof Ft)return[e];if(Array.isArray(e))return y.assert(e.length===t.length,()=>`Received an array of ${e.length} Tensors, but expected ${t.length} to match the ${r} keys ${t}.`),e;{let n=[];for(let o of t){if(e[o]==null)throw new M(`The feature data generated by the dataset lacks the required ${r} key '${o}'.`);n.push(e[o])}return n}}function F8(r){if(r.length===3)throw new St("Validation with sample weights is not implemented yet.");return{xs:r[0],ys:r[1]}}async function lD(r,t,e){let n=e.batchesPerEpoch!=null;if(y.assert(r.optimizer!=null,()=>"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig)."),y.assert(e!=null,()=>"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."),y.assert(e.epochs!=null&&e.epochs>0&&Number.isInteger(e.epochs),()=>`For fitDataset(), config.epochs is expected to be a positive integer, but got ${e.epochs}`),y.assert(!n||e.batchesPerEpoch>0&&Number.isInteger(e.batchesPerEpoch),()=>`For fitDataset(), config.batchesPerEpoch is expected to be a positive integer if specified, but got ${e.batchesPerEpoch}`),y.assert(e.validationSplit==null,()=>"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."),r.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");r.isTraining=!0;try{let o=e.validationData!=null,s,i;if(o)if(iD(e.validationData))y.assert(e.validationBatches==null||e.validationBatches>0&&Number.isInteger(e.validationBatches),()=>`For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, but got ${e.validationBatches}`);else{let g=F8(e.validationData);s=g.xs,i=g.ys}let a=r.makeTrainFunction(),u=r.getDedupedMetricsNames(),l;o?l=u.slice().concat(u.map(g=>"val_"+g)):l=u.slice();let c=zy(e.callbacks,e.yieldEvery),p=e.verbose==null?1:e.verbose,{callbackList:m,history:f}=By(c,p,e.epochs,null,null,O8(t,e),null,o,l);m.setModel(r),r.history=f,await m.onTrainBegin(),r.stopTraining_=!1;let d=e.initialEpoch==null?0:e.initialEpoch,h=await t.iterator();for(;d=e.batchesPerEpoch:w.done){if(o){let C;iD(e.validationData)?C=xe(await r.evaluateDataset(e.validationData,{batches:e.validationBatches})):C=xe(r.evaluate(s,i,{batchSize:e.validationBatchSize==null?R8:e.validationBatchSize,verbose:0}));for(let N=0;N0)throw new St("Verbose mode is not implemented yet.");y.assert(!n||e.batches>0&&Number.isInteger(e.batches),()=>`Test loop expects \`batches\` to be a positive integer, but received ${JSON.stringify(e.batches)}`);let i=P8(t)?t:await t.iterator(),a=0,u=0;for(;!n||u{if(l.value){let{xs:c,ys:p}=aD(r,l.value),m=c.concat(p),f=B(()=>o(m));if(vt(m),u===0)for(let h=0;hX(s[h],D(d,g))),u>0&&vt(x)}vt(f),a+=d,++u}return s}),l.done){n&&console.warn(`Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least \`batches\` batches (in this case, ${e.batches} batches). You may need to use the repeat() function when building your dataset.`);break}}for(let l=0;l0&&Number.isInteger(r),()=>`batchSize is required to be a positive integer, but got ${r}`)}function Hm(r,t,e){return r==null?[null]:Array.isArray(r)?r.map(n=>rl(n,t,e-t)):rl(r,t,e-t)}function Yy(r,t){return B(()=>r==null?null:Array.isArray(r)?r.map(e=>Yy(e,t)):_y(r,t.dtype==="int32"?t:J(t,"int32")))}function Zy(r,t){let e=[],n=0,o=null;for(;n=r&&(o=r),e.push([n,o]),n=o;return e}async function L8(r,t,e,n,o,s,i,a,u,l,c,p,m,f,d){o==null&&(o=32),s==null&&(s=1),c==null&&(c=!0),m==null&&(m=0);let h=!1;if(u!=null&&l!=null&&(h=!0),d!=null&&(h=!0,f==null))throw new M("Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.");let g=r.checkNumSamples(e,o,f,"steps_per_epoch"),x;g!=null&&(x=Zr(0,g)),i==null&&(i=1);let{callbackList:b,history:w}=By(a,i,s,m,g,f,o,h,p);b.setModel(r),r.history=w,await b.onTrainBegin(),r.stopTraining_=!1;for(let C=m;C{let P=A[$][0],V=A[$][1],G=rl(_,P,V-P);F.batch=$,F.size=V-P;let W=Yy(e,G),q=t(W);for(let H=0;H0){if(g=!0,n.validationData.length===2)u=n.validationData[0],l=n.validationData[1];else throw n.validationData.length===3?new St("validationData including sample weights is not supported yet."):new M(`When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; ${n.validationData} is invalid.`);let F=!0,P=await r.standardizeUserData(u,l,null,null,F,f);c=P[0],p=P[1],x=c.concat(p)}else if(n.validationSplit!=null&&n.validationSplit>0&&n.validationSplit<1){g=!0;let F=Math.floor(o[0].shape[0]*(1-n.validationSplit)),P=o[0].shape[0];c=Hm(o,F,P),i=o,o=Hm(o,0,F),p=Hm(s,F,P),a=s,s=Hm(s,0,F),x=c.concat(p)}else n.validationSteps!=null&&(g=!0);let b=o.concat(s).concat(m);r.checkTrainableWeightsConsistency();let w=r.makeTrainFunction(),C=r.getDedupedMetricsNames(),N,_;g?(r.makeTestFunction(),N=r.testFunction,_=C.slice().concat(C.map(F=>"val_"+F))):(N=null,x=[],_=C.slice());let A=zy(n.callbacks,n.yieldEvery);return await L8(r,w,b,C,f,n.epochs,n.verbose,A,N,x,n.shuffle,_,n.initialEpoch,null,null)}finally{r.isTraining=!1,Eo(o,t),Eo(s,e),Eo(i,t),Eo(a,e),Eo(c,u),Eo(p,l),m!=null&&vt(m)}}function Fv(r){let t=[];r instanceof Ft&&(r=[r]);for(let e=0;ee.push(o.id));else if(t!=null)for(let o in t){let s=t[o];e.push(s.id)}let n=[];if(r instanceof Ft)e.indexOf(r.id)===-1&&n.push(r);else if(Array.isArray(r))r.forEach(o=>{e.indexOf(o.id)===-1&&n.push(o)});else if(r!=null)for(let o in r){let s=r[o];e.indexOf(s.id)===-1&&n.push(s)}n.forEach(o=>{o.isDisposed||o.dispose()})}function M8(r){return r instanceof Ft}function Ov(r){return Array.isArray(r)}function pD(r){return!M8(r)&&!Ov(r)}function mD(r,t,e,n=!0,o=""){if(t==null||t.length===0){if(r!=null){let i=!1;if(Ov(r)&&r.length>0)i=!0;else if(pD(r)){for(let a in r)if(r.hasOwnProperty(a)){i=!0;break}}else i=!0;if(i)throw new M(`Error when checking model ${o} expected no data, but got ${r}`)}return[]}if(r==null)return t.map(i=>null);let s;if(pD(r)){r=r,s=[];for(let i of t){if(r[i]==null)throw new M(`No data provided for "${i}". Need data for each key in: ${t}`);s.push(r[i])}}else if(Ov(r)){if(r=r,r.length!==t.length)throw new M(`Error when checking model ${o}: the Array of Tensors that you are passing to your model is not the size the model expected. Expected to see ${t.length} Tensor(s), but instead got the following list of Tensor(s): ${r}`);s=r}else{if(r=r,t.length>1)throw new M(`The model ${o} expects ${t.length} Tensor(s), but only received one Tensor. Found: Tensor with shape ${r.shape}`);s=[r]}if(s=Fv(s),e!=null)for(let i=0;i=0&&l!==c)throw new M(`${o} expected a batch of elements where each example has shape [${e[i].slice(1,e[i].length)}] (i.e.,tensor shape [*,${e[i].slice(1,e[i].length)}]) but the ${o} received an input with ${a.shape[0]} examples, each with shape [${a.shape.slice(1,a.shape.length)}] (tensor shape [${a.shape}])`)}}return s}function z8(r,t,e){let n=vo(r.map(s=>s.shape[0]));n.sort();let o=vo(t.map(s=>s.shape[0]));if(o.sort(),n.length>1)throw new M(`All input Tensors (x) should have the same number of samples. Got array shapes: ${JSON.stringify(r.map(s=>s.shape))}`);if(o.length>1)throw new M(`All target Tensors (y) should have the same number of samples. Got array shapes: ${JSON.stringify(t.map(s=>s.shape))}`);if(n.length>0&&o.length>0&&!y.arraysEqual(n,o))throw new M(`Input Tensors should have the same number of samples as target Tensors. Found ${n[0]} input sample(s) and ${o[0]} target sample(s).`)}function B8(r,t,e){let n=[Hi,Wm,xc];for(let o=0;o1)throw new M(`The model expects ${t.length} ${o} Tensors, but only received one Tensor. Found: array with shape ${JSON.stringify(r.shape)}.`);s=[r]}if(e!=null)for(let i=0;i[]);let e;if(typeof r=="string"||typeof r=="function")e=[r];else if(Array.isArray(r)||typeof r=="object")e=r;else throw new TypeError(`Type of metrics argument not understood. Expected an string,function, Array, or Object, found: ${r}`);if(Array.isArray(e))return t.map(n=>e);{let n=[];for(let o of t){let s=e.hasOwnProperty(o)?e[o]:[];Array.isArray(s)||(s=[s]),n.push(s)}return n}}var G8="layers-model",Bn=class extends zn{constructor(t){super(t),this.isTraining=!1}summary(t,e,n=console.log){if(!this.built)throw new M("This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).");rD(this,t,e,n)}compile(t){if(t.loss==null&&(t.loss=[]),this.loss=t.loss,typeof t.optimizer=="string")this.optimizer_=eD(t.optimizer),this.isOptimizerOwned=!0;else{if(!(t.optimizer instanceof Wr))throw new M("User-defined optimizer must be an instance of tf.Optimizer.");this.optimizer_=t.optimizer,this.isOptimizerOwned=!1}let e=[];if(!Array.isArray(t.loss)&&typeof t.loss!="string"&&typeof t.loss!="function"){t.loss=t.loss;for(let i in t.loss)if(this.outputNames.indexOf(i)===-1)throw new M(`Unknown entry in loss dictionary: "${i}". Only expected the following keys: ${this.outputNames}`);for(let i of this.outputNames)t.loss[i]==null&&console.warn(`Output "${i}" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data to be passed to ${i} during training`),e.push(Vy(t.loss[i]))}else if(Array.isArray(t.loss)){if(t.loss.length!==this.outputs.length)throw new M(`When passing an Array as loss, it should have one entry per model output. The model has ${this.outputs.length} output(s), but you passed loss=${t.loss}.`);e=t.loss.map(a=>Vy(a))}else{let i=Vy(t.loss);this.outputs.forEach(a=>{e.push(i)})}this.lossFunctions=e,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(let i=0;i{for(let i=0;i1&&(this.metricsTensors.push([a,i]),this.metricsNames.push(this.outputNames[i]+"_loss"))}});let o=V8(t.metrics,this.outputNames),s=(i,a,u)=>{this.outputNames.length>1&&(a=this.outputNames[i]+"_"+a),this.metricsNames.push(a),this.metricsTensors.push([u,i])};Hs("metric",()=>{for(let i=0;i{let c="",p,m,f;for(let d of l){if(typeof d=="string"&&["accuracy","acc","crossentropy","ce"].indexOf(d)!==-1){let g=this.internalOutputShapes[i];g[g.length-1]===1||this.lossFunctions[i]===Wm?["accuracy","acc"].indexOf(d)!==-1?m=Th:["crossentropy","ce"].indexOf(d)!==-1&&(m=Wy):this.lossFunctions[i]===Gm?["accuracy","acc"].indexOf(d)!==-1?m=Uy:["crossentropy","ce"].indexOf(d)!==-1&&(m=$v):["accuracy","acc"].indexOf(d)!==-1?m=kh:["crossentropy","ce"].indexOf(d)!==-1&&(m=Eh);let x;["accuracy","acc"].indexOf(d)!==-1?x="acc":["crossentropy","ce"].indexOf(d)!==-1&&(x="ce"),f=m,p=c+x}else f=Q$(d),p=c+_h(d);let h;Hs(p,()=>{h=f}),s(i,p,h)}})(a)}}),this.collectedTrainableWeights=this.trainableWeights}checkTrainableWeightsConsistency(){this.collectedTrainableWeights!=null&&this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn("Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?")}evaluate(t,e,n={}){let o=n.batchSize==null?32:n.batchSize;Xy(o);let s=!0,i=this.standardizeUserDataXY(t,e,s,o);try{let a=i[0].concat(i[1]);this.makeTestFunction();let u=this.testFunction,l=this.testLoop(u,a,o,n.verbose,n.steps);return Nr(l)}finally{Eo(i[0],t),Eo(i[1],e)}}async evaluateDataset(t,e){return this.makeTestFunction(),uD(this,t,e)}checkNumSamples(t,e,n,o="steps"){let s;if(n!=null){if(s=null,e!=null)throw new M(`If ${o} is set, batchSize must be null or undefined.Got batchSize = ${e}`)}else if(t!=null)Array.isArray(t)?s=t[0].shape[0]:s=t.shape[0];else throw new M(`Either the input data should have a defined shape, or ${o} shoud be specified.`);return s}execute(t,e){if(Array.isArray(e)&&e.length===0)throw new M("`outputs` is an empty Array, which is not allowed.");let n=Array.isArray(e),o=n?e:[e],s=this.retrieveSymbolicTensors(o),i=new ko;if(t instanceof Ft&&(t=[t]),Array.isArray(t)){if(t.length!==this.inputs.length)throw new M(`The number of inputs provided (${t.length}) does not match the number of inputs of this model (${this.inputs.length}).`);for(let u=0;ua.name);for(let a=0;a0){let o=[];throw e.forEach((s,i)=>{s==null&&o.push(t[i])}),new M(`Cannot find SymbolicTensors for output name(s): ${JSON.stringify(o)}`)}return e}predictLoop(t,e=32,n=!1){return B(()=>{let o=this.checkNumSamples(t);if(n)throw new St("Verbose predictLoop() is not implemented yet.");let s=Zy(o,e),i=this.outputs.map(a=>[]);for(let a=0;a{let l=s[a][0],c=s[a][1],p=Hm(t,l,c),m=[];if(Array.isArray(p))for(let d=0;di[c].push(l));return Nr(i.map(a=>ne(a,0)))})}predict(t,e={}){let n=Fv(t);fD(n,this.inputNames,this.feedInputShapes,!1);try{let o=e.batchSize==null?32:e.batchSize;return Xy(o),this.predictLoop(n,o)}finally{Eo(n,t)}}predictOnBatch(t){fD(t,this.inputNames,this.feedInputShapes,!0);let e=(Array.isArray(t)?t[0]:t).shape[0];return this.predictLoop(t,e)}standardizeUserDataXY(t,e,n=!0,o){if(this.optimizer_==null)throw new Hr("You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).");let s=[];for(let i=0;i0&&t[0].shape[0]%o!==0)throw new M(`In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size ${o}. Found: ${t[0].shape[0]} sample(s).`);return[t,e]}async standardizeUserData(t,e,n,o,s=!0,i){let[a,u]=this.standardizeUserDataXY(t,e,s,i);if(n!=null)throw new Error("sample weight is not supported yet.");let l=null;if(o!=null){let c=Ky(o,this.outputNames);l=[];for(let p=0;p{let i=this.checkNumSamples(e,n,s,"steps"),a=[];if(o>0)throw new St("Verbose mode is not implemented yet.");if(s!=null)throw new St("steps mode in testLoop() is not implemented yet");{let u=Zy(i,n),l=Me(Zr(0,i));for(let c=0;c1&&(s+=`_${Cv(t.slice(0,n),o)}`),e.push(s)}return e}makeTrainFunction(){return t=>{let e=[],n=t.slice(0,this.inputs.length),o=t.slice(this.inputs.length,this.inputs.length+this.outputs.length),s=t.slice(this.inputs.length+this.outputs.length,this.inputs.length+this.outputs.length*2),i=[],a=()=>{let p=[];for(let h=0;h1&&h{d=X(d,h)}),d},u=this.collectedTrainableWeights.map(p=>p.read()),l=!0;return[this.optimizer_.minimize(a,l,u)].concat(i)}}makeTestFunction(){this.testFunction=t=>B(()=>{let e=[],n,o=t.slice(0,this.inputs.length),s=t.slice(this.inputs.length,this.inputs.length+this.outputs.length),i=[];for(let l=0;lSo(e))}else{let e=Object.keys(this.loss);t={};let n=this.loss;for(let o of e)if(typeof n[o]=="string")t[o]=So(n[o]);else throw new Error("Serialization of non-string loss is not supported.")}return t}getMetricIdentifiers(){if(typeof this.metrics=="string"||typeof this.metrics=="function")return[So(_h(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map(t=>So(_h(t)));{let t={};for(let e in this.metrics)t[e]=So(_h(this.metrics[e]));return t}}getTrainingConfig(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}}loadTrainingConfig(t){if(t.weighted_metrics!=null)throw new Error("Loading weight_metrics is not supported yet.");if(t.loss_weights!=null)throw new Error("Loading loss_weights is not supported yet.");if(t.sample_weight_mode!=null)throw new Error("Loading sample_weight_mode is not supported yet.");let e=yc(t.optimizer_config),n=gn(e),o;if(typeof t.loss=="string")o=el(t.loss);else if(Array.isArray(t.loss))o=t.loss.map(i=>el(i));else if(t.loss!=null){o={};for(let i in t.loss)o[i]=el(t.loss[i])}let s;if(Array.isArray(t.metrics))s=t.metrics.map(i=>el(i));else if(t.metrics!=null){s={};for(let i in t.metrics)s[i]=el(t.metrics[i])}this.compile({loss:o,metrics:s,optimizer:n})}async save(t,e){if(typeof t=="string"){let l=_r.getSaveHandlers(t);if(l.length===0)throw new M(`Cannot find any save handlers for URL '${t}'`);if(l.length>1)throw new M(`Found more than one (${l.length}) save handlers for URL '${t}'`);t=l[0]}if(t.save==null)throw new M("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");let n=await _r.encodeWeights(this.getNamedWeights(e)),o=!1,s=null,a={modelTopology:this.toJSON(s,o),format:G8,generatedBy:`TensorFlow.js tfjs-layers v${Um}`,convertedBy:null};if((e==null?!1:e.includeOptimizer)&&this.optimizer!=null){a.trainingConfig=this.getTrainingConfig();let l="optimizer",{data:c,specs:p}=await _r.encodeWeights(await this.optimizer.getWeights(),l);n.specs.push(...p),n.data=_r.concatenateArrayBuffers([n.data,c])}return this.userDefinedMetadata!=null&&(Rv(this.userDefinedMetadata,this.name,!0),a.userDefinedMetadata=this.userDefinedMetadata),a.weightData=n.data,a.weightSpecs=n.specs,t.save(a)}setUserDefinedMetadata(t){Rv(t,this.name),this.userDefinedMetadata=t}getUserDefinedMetadata(){return this.userDefinedMetadata}};Bn.className="Model";Q.registerClass(Bn);var Jy=class extends Bn{};Jy.className="Functional";Q.registerClass(Jy);async function dD(r,t){"modelTopology"in r||(r={modelTopology:r}),r=r;let e=r.modelTopology;e.model_config!=null&&(e=e.model_config);let n=yc(e),o=gn(n,t);if(r.weightsManifest!=null){let s=await _r.loadWeights(r.weightsManifest,r.pathPrefix,o.weights.map(a=>a.originalName)),i={};for(let a of o.weights)i[a.originalName]=s[a.originalName];o.loadWeights(i),vt(s)}return o}async function hD(r,t){if(t==null&&(t={}),typeof r=="string"){let e=_r.getLoadHandlers(r,t);if(e.length===0)e.push(_r.browserHTTPRequest(r,t));else if(e.length>1)throw new M(`Found more than one (${e.length}) load handlers for URL '${r}'`);r=e[0]}return W8(r,void 0,t)}async function W8(r,t,e){if(e==null&&(e={}),r.load==null)throw new M("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let n=await r.load(),o=n.modelTopology;o.model_config!=null&&(o=o.model_config);let s=e.strict==null?!0:e.strict,i=n.weightData!=null&&n.weightSpecs!=null&&s,a=gn(yc(o),t,i),u=n.trainingConfig;if(u!=null&&a.loadTrainingConfig(u),n.userDefinedMetadata!=null&&a.setUserDefinedMetadata(n.userDefinedMetadata),n.weightData!=null){if(n.weightSpecs==null)throw new M("LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.");let{modelWeights:l,optimizerWeights:c}=U8(n.weightData,n.weightSpecs);a.loadWeights(l,s),a.optimizer!=null&&c.length>0&&await a.optimizer.setWeights(c),vt(l),vt(c.map(p=>p.tensor))}return a}function U8(r,t){let e=_r.decodeWeights(r,t),n={},o=[];return t.forEach(s=>{s.group==="optimizer"?o.push({name:s.name,tensor:e[s.name]}):n[s.name]=e[s.name]}),{modelWeights:n,optimizerWeights:o}}var qi=class extends Bn{constructor(t){if(super({inputs:[],outputs:[]}),t=t||{},this.trainable=!0,this.built=!1,this.name=t.name!=null?t.name:gu("sequential_"),t.layers!=null)for(let e of t.layers)this.add(e)}checkShape(t){if(t.inboundNodes[0].outputTensors[0].shape.some(n=>n<0))throw new M(`Negative dimension size caused by adding layer ${t.name} with input shape [${t.inboundNodes[0].inputTensors[0].shape}]`)}add(t){let e=t instanceof qi||t instanceof Bn,n;if(e){if(n=t,n.outputs.length!==1)throw new M("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");if(n.inputs.length!==1)throw new M("All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.")}if(this.outputs.length===0){if(t.inboundNodes.length===0){if(t.batchInputShape==null)throw new M("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");let o=Dy({batchShape:t.batchInputShape,dtype:t.dtype,name:t.name+"_input"});t.apply(o)}if(e)this.outputs=n.outputs,this.inputs=n.inputs;else{if(t.inboundNodes.length!==1)throw new M(`A layer added to a Sequential model must not already be connected somewhere else. LayersModel received layer ${t.name} which has ${t.inboundNodes.length} pre-existing inbound connections.`);if(t.inboundNodes[0].outputTensors.length!==1)throw new M("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(t),this.outputs=[t.inboundNodes[0].outputTensors[0]],this.inputs=kv(this.outputs[0])}this.inboundNodes=[],new ol({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:Io(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(o=>o.shape),outputShapes:this.outputs[0].shape})}else{let o=t.apply(this.outputs[0]);if(Array.isArray(o))throw new TypeError("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(t),this.outputs=[o],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(t),this.built=!1}pop(){if(this.layers.length===0)throw new TypeError("There are no layers in the model.");if(this.layers.pop(),this.layers.length===0)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{let t=this.layers.length-1;this.layers[t].outboundNodes=[],this.outputs=[this.layers[t].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}}call(t,e){return this.model==null&&this.build(),this.model.call(t,e)}build(t){if(Bt(t),this.inputs.length===0||this.outputs.length===0)throw new TypeError("Sequential model cannot be built: model is empty. Add some layers first.");this.model=new Bn({inputs:this.inputs,outputs:this.outputs[0],name:this.name+"_model"}),this.model.trainable=this.trainable,this.supportsMasking=this.model.supportsMasking,this.inputLayers=this.model.inputLayers,this.inputLayersNodeIndices=this.model.inputLayersNodeIndices,this.inputLayersTensorIndices=this.model.inputLayersTensorIndices,this.outputLayers=this.model.outputLayers,this.outputLayersNodeIndices=this.model.outputLayersNodeIndices,this.outputLayersTensorIndices=this.model.outputLayersTensorIndices,this.nodesByDepth=this.model.nodesByDepth,this.containerNodes=this.model.containerNodes,this.outputNames=this.model.outputNames,this.inputNames=this.model.inputNames,this.built=!0}countParams(){return this.built||this.build(),super.countParams()}summary(t,e,n=console.log){this.built||this.build(),super.summary(t,e,n)}setWeights(t){this.model==null&&this.build(),this.model.setWeights(t)}evaluate(t,e,n={}){if(!this.built)throw new Hr("The model needs to be compiled before being used.");return this.model.evaluate(t,e,n)}async evaluateDataset(t,e){if(!this.built)throw new Hr("The model needs to be compiled before being used.");return this.model.evaluateDataset(t,e)}predict(t,e={}){return this.model==null&&this.build(),this.model.predict(t,e)}predictOnBatch(t){return this.model==null&&this.build(),this.model.predictOnBatch(t)}compile(t){this.build(),this.model.compile(t),this.optimizer_=this.model.optimizer,this.isOptimizerOwned=this.model.isOptimizerOwned,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames}get optimizer(){return this.model==null?void 0:this.model.optimizer}set optimizer(t){this.model.optimizer=t}async fit(t,e,n={}){if(!this.built)throw new Hr("The model needs to be compiled before being used.");return this.model.fit(t,e,n)}async fitDataset(t,e){if(!this.built)throw new Hr("The model needs to be compiled before being used.");return this.model.fitDataset(t,e)}async trainOnBatch(t,e){return this.model.trainOnBatch(t,e)}static fromConfig(t,e,n={},o=!1){let s,i={};if(e instanceof Array){if(e[0].className==null||e[0].className==="Merge")throw new M("Legacy serialization format not supported yet.");s=e}else y.assert(e.layers!=null,()=>"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field."),s=e.layers,delete e.layers,i=e;let a=new t(i);if(!(a instanceof qi))throw new St(`Sequential.fromConfig called on non-Sequential input: ${a}`);for(let u of s){let c=gn(u,void 0,o);o&&c.setFastWeightInitDuringBuild(!0),a.add(c)}return a}set stopTraining(t){if(this.model==null)throw new M("Cannot set the stopTraining property of a sequential model before it is compiled.");this.model.stopTraining=t}get stopTraining(){if(this.model==null)throw new M("Cannot get the stopTraining property of a sequential model before it is compiled.");return this.model.stopTraining}getConfig(){let t=[];for(let e of this.layers){let n={};n.className=e.getClassName(),n.config=e.getConfig(),t.push(n)}return{name:this.name,layers:t}}};qi.className="Sequential";Q.registerClass(qi);function H8(r){return new Bn(r)}function q8(r){return new qi(r)}function Pv(r){return Dy(r)}function K8(r,t){hn.registerCallbackConstructor(r,t)}var Qr=class extends Q.Serializable{getConfig(){return{}}},Qy=class extends Qr{apply(t,e=1){return F$(t,e)}};Qy.className="elu";Q.registerClass(Qy);var tb=class extends Qr{apply(t){return pm(t)}};tb.className="selu";Q.registerClass(tb);var eb=class extends Qr{apply(t){return Fr(t)}};eb.className="relu";Q.registerClass(eb);var rb=class extends Qr{apply(t){return B(()=>Mi(6,Fr(t)))}};rb.className="relu6";Q.registerClass(rb);var nb=class extends Qr{apply(t){return t}};nb.className="linear";Q.registerClass(nb);var ob=class extends Qr{apply(t){return Yr(t)}};ob.className="sigmoid";Q.registerClass(ob);var sb=class extends Qr{apply(t){return P$(t)}};sb.className="hardSigmoid";Q.registerClass(sb);var ib=class extends Qr{apply(t){return zs(t)}};ib.className="softplus";Q.registerClass(ib);var ab=class extends Qr{apply(t){return O$(t)}};ab.className="softsign";Q.registerClass(ab);var lb=class extends Qr{apply(t){return $i(t)}};lb.className="tanh";Q.registerClass(lb);var qm=class extends Qr{apply(t,e=-1){return iu(t,e)}};qm.className="softmax";Q.registerClass(qm);var ub=class extends Qr{apply(t,e=-1){return sm(t,e)}};ub.className="logSoftmax";Q.registerClass(ub);var cb=class extends Qr{apply(t,e=1){return B(()=>D(Yr(D(t,e)),t))}};cb.className="swish";Q.registerClass(cb);var pb=class extends Qr{apply(t){return B(()=>D(t,$i(zs(t))))}};pb.className="mish";Q.registerClass(pb);function js(r){return r.getClassName()}function Lv(r,t={}){return Gi(r,Q.SerializationMap.getMap().classNameMap,t,"activation")}function Xs(r){if(r==null){let t={};return t.className="linear",t.config={},Lv(t)}if(typeof r=="string"){let t={};return t.className=r,t.config={},Lv(t)}else return r instanceof Qr?r:Lv(r)}function Mv(r){if(r!=null&&typeof r!="object")throw new Error(`Argument to L1L2 regularizer's constructor is expected to be an object, but received: ${r}`)}var mb=class extends Q.Serializable{},wu=class extends mb{constructor(t){super(),Mv(t),this.l1=t==null||t.l1==null?.01:t.l1,this.l2=t==null||t.l2==null?.01:t.l2,this.hasL1=this.l1!==0,this.hasL2=this.l2!==0}apply(t){return B(()=>{let e=Ne([1]);return this.hasL1&&(e=X(e,ft(D(this.l1,Ee(t))))),this.hasL2&&(e=X(e,ft(D(this.l2,lc(t))))),R(e,[])})}getConfig(){return{l1:this.l1,l2:this.l2}}static fromConfig(t,e){return new t({l1:e.l1,l2:e.l2})}};wu.className="L1L2";Q.registerClass(wu);function yD(r){return Mv(r),new wu({l1:r!=null?r.l1:null,l2:0})}function bD(r){return Mv(r),new wu({l2:r!=null?r.l2:null,l1:0})}var gD={l1l2:"L1L2"};function me(r){return Sm(r)}function xD(r,t={}){return Gi(r,Q.SerializationMap.getMap().classNameMap,t,"regularizer")}function be(r){if(r==null)return null;if(typeof r=="string"){let e={className:r in gD?gD[r]:r,config:{}};return xD(e)}else return r instanceof mb?r:xD(r)}var Km=class extends $t{constructor(t){super(t==null?{}:t),this.supportsMasking=!0,t!=null&&(this.maxValue=t.maxValue)}call(t,e){t=Nt(t);let n=Fr(t);return this.maxValue!=null&&(n=Cr(n,0,this.maxValue)),n}computeOutputShape(t){return t}getConfig(){let t={maxValue:this.maxValue},e=super.getConfig();return Object.assign(t,e),t}};Km.className="ReLU";Q.registerClass(Km);var jm=class extends $t{constructor(t){super(t==null?{}:t),this.DEFAULT_ALPHA=.3,t==null&&(t={}),this.alpha=t.alpha==null?this.DEFAULT_ALPHA:t.alpha}call(t,e){let n=Nt(t);return Ql(n,this.alpha)}computeOutputShape(t){return t}getConfig(){let t={alpha:this.alpha},e=super.getConfig();return Object.assign(t,e),t}};jm.className="LeakyReLU";Q.registerClass(jm);var Xm=class extends $t{constructor(t){if(super(t==null?{}:t),this.DEFAULT_ALPHA_INITIALIZER="zeros",t==null&&(t={}),this.supportsMasking=!0,this.alphaInitializer=de(t.alphaInitializer||this.DEFAULT_ALPHA_INITIALIZER),this.alphaRegularizer=be(t.alphaRegularizer),this.alphaConstraint=Be(t.alphaConstraint),t.sharedAxes==null)this.sharedAxes=null;else if(Array.isArray(t.sharedAxes))this.sharedAxes=t.sharedAxes;else if(typeof t.sharedAxes=="number")this.sharedAxes=[t.sharedAxes];else throw new M(`Expected sharedAxes to be a number or an array of numbers, but got ${t.sharedAxes}`)}build(t){t=Bt(t);let e=t.slice(1);if(this.sharedAxes!=null)for(let o of this.sharedAxes)e[o-1]=1;this.alpha=this.addWeight("alpha",e,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);let n={};if(this.sharedAxes!=null)for(let o=1;o(Fe(t),t==="channelsFirst"?Ot(r,[0,2,3,1]):r))}function zv(r,t){return B(()=>(Fe(t),t==="channelsFirst"?Ot(r,[0,2,3,4,1]):r))}function X8(r,t,e,n=1,o="valid",s,i=1){return B(()=>{if(s==null&&(s=mn()),Fe(s),r.shape.length!==3)throw new M(`The input of a conv1dWithBias operation should be 3, but is ${r.shape.length} instead.`);if(t.shape.length!==3)throw new M(`The kernel for a conv1dWithBias operation should be 3, but is ${t.shape.length} instead`);if(e!=null&&e.shape.length!==1)throw new M(`The bias for a conv1dWithBias operation should be 1, but is ${t.shape.length} instead`);if(s==="channelsFirst"&&(r=Ot(r,[0,2,1])),o==="causal")throw new St("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");let a=Qp(r,t,n,o==="same"?"same":"valid","NWC",i);return e!=null&&(a=fn(a,e)),a})}function wD(r,t,e,n=[1,1],o="valid",s,i,a=null){return B(()=>{if(s==null&&(s=mn()),Fe(s),r.rank!==3&&r.rank!==4)throw new M(`conv2dWithBiasActivation expects input to be of rank 3 or 4, but received ${r.rank}.`);if(t.rank!==3&&t.rank!==4)throw new M(`conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received ${r.rank}.`);let u=Ah(r,s);if(o==="causal")throw new St("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return u=uu.conv2d({x:u,filter:t,strides:n,pad:o==="same"?"same":"valid",dilations:i,dataFormat:"NHWC",bias:e,activation:a}),s==="channelsFirst"&&(u=Ot(u,[0,3,1,2])),u})}function Y8(r,t,e,n=[1,1,1],o="valid",s,i){return B(()=>{if(s==null&&(s=mn()),Fe(s),r.rank!==4&&r.rank!==5)throw new M(`conv3dWithBias expects input to be of rank 4 or 5, but received ${r.rank}.`);if(t.rank!==4&&t.rank!==5)throw new M(`conv3dWithBias expects kernel to be of rank 4 or 5, but received ${r.rank}.`);let a=zv(r,s);if(o==="causal")throw new St("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return a=Tx(a,t,n,o==="same"?"same":"valid","NDHWC",i),e!=null&&(a=fn(a,e)),s==="channelsFirst"&&(a=Ot(a,[0,4,1,2,3])),a})}var bc=class extends $t{constructor(t,e){if(super(e),this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",bc.verifyArgs(e),this.rank=t,Ze(this.rank,"rank"),this.rank!==1&&this.rank!==2&&this.rank!==3)throw new St(`Convolution layer for rank other than 1, 2, or 3 (${this.rank}) is not implemented yet.`);if(this.kernelSize=Cu(e.kernelSize,t,"kernelSize"),this.strides=Cu(e.strides==null?1:e.strides,t,"strides"),this.padding=e.padding==null?"valid":e.padding,pn(this.padding),this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Fe(this.dataFormat),this.activation=Xs(e.activation),this.useBias=e.useBias==null?!0:e.useBias,this.biasInitializer=de(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.biasConstraint=Be(e.biasConstraint),this.biasRegularizer=be(e.biasRegularizer),this.activityRegularizer=be(e.activityRegularizer),this.dilationRate=Cu(e.dilationRate==null?1:e.dilationRate,t,"dilationRate"),this.rank===1&&Array.isArray(this.dilationRate)&&this.dilationRate.length!==1)throw new M(`dilationRate must be a number or an array of a single number for 1D convolution, but received ${JSON.stringify(this.dilationRate)}`);if(this.rank===2){if(typeof this.dilationRate=="number")this.dilationRate=[this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==2)throw new M(`dilationRate must be a number or array of two numbers for 2D convolution, but received ${JSON.stringify(this.dilationRate)}`)}else if(this.rank===3){if(typeof this.dilationRate=="number")this.dilationRate=[this.dilationRate,this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==3)throw new M(`dilationRate must be a number or array of three numbers for 3D convolution, but received ${JSON.stringify(this.dilationRate)}`)}}static verifyArgs(t){if(ro("kernelSize"in t,"required key 'kernelSize' not in config"),typeof t.kernelSize!="number"&&!Cy(t.kernelSize,"number",1,3))throw new M(`BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received ${JSON.stringify(t.kernelSize)}.`)}getConfig(){let t={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:js(this.activation),useBias:this.useBias,biasInitializer:Te(this.biasInitializer),biasRegularizer:me(this.biasRegularizer),activityRegularizer:me(this.activityRegularizer),biasConstraint:ze(this.biasConstraint)},e=super.getConfig();return Object.assign(t,e),t}},Iu=class extends bc{constructor(t,e){super(t,e),this.kernel=null,Iu.verifyArgs(e),this.filters=e.filters,Ze(this.filters,"filters"),this.kernelInitializer=de(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.kernelConstraint=Be(e.kernelConstraint),this.kernelRegularizer=be(e.kernelRegularizer)}build(t){t=Bt(t);let e=this.dataFormat==="channelsFirst"?1:t.length-1;if(t[e]==null)throw new M(`The channel dimension of the input should be defined. Found ${t[e]}`);let n=t[e],o=this.kernelSize.concat([n,this.filters]);this.kernel=this.addWeight("kernel",o,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:{[e]:n}}],this.built=!0}call(t,e){return B(()=>{t=Nt(t);let n,o=this.bias==null?null:this.bias.read(),s=Iy(this.activation.getClassName());if(s!=null&&this.rank===2)n=wD(t,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate,s);else{if(this.rank===1)n=X8(t,this.kernel.read(),o,this.strides[0],this.padding,this.dataFormat,this.dilationRate[0]);else if(this.rank===2)n=wD(t,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate);else if(this.rank===3)n=Y8(t,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate);else throw new St("convolutions greater than 3D are not implemented yet.");this.activation!=null&&(n=this.activation.apply(n))}return n})}computeOutputShape(t){t=Bt(t);let e=[],n=this.dataFormat==="channelsLast"?t.slice(1,t.length-1):t.slice(2);for(let s=0;s 0 but got ${JSON.stringify(t.filters)}`)}},il=class extends Iu{constructor(t){super(2,t),il.verifyArgs(t)}getConfig(){let t=super.getConfig();return delete t.rank,t}static verifyArgs(t){if(typeof t.kernelSize!="number"&&!Cy(t.kernelSize,"number",1,2))throw new M(`Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received ${JSON.stringify(t.kernelSize)}.`)}};il.className="Conv2D";Q.registerClass(il);var al=class extends Iu{constructor(t){super(3,t),al.verifyArgs(t)}getConfig(){let t=super.getConfig();return delete t.rank,t}static verifyArgs(t){if(typeof t.kernelSize!="number"&&!(Array.isArray(t.kernelSize)&&(t.kernelSize.length===1||t.kernelSize.length===3)))throw new M(`Conv3D expects config.kernelSize to be number or [number, number, number], but received ${JSON.stringify(t.kernelSize)}.`)}};al.className="Conv3D";Q.registerClass(al);var Qm=class extends il{constructor(t){if(super(t),this.inputSpec=[new ye({ndim:4})],this.padding!=="same"&&this.padding!=="valid")throw new M(`Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(t){if(t=Bt(t),t.length!==4)throw new M("Input should have rank 4; Received input shape: "+JSON.stringify(t));let e=this.dataFormat==="channelsFirst"?1:t.length-1;if(t[e]==null)throw new M("The channel dimension of the inputs should be defined. Found `None`.");let n=t[e],o=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",o,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new ye({ndim:4,axes:{[e]:n}})],this.built=!0}call(t,e){return B(()=>{let n=Nt(t);if(n.shape.length!==4)throw new M(`Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let o=n.shape,s=o[0],i,a;this.dataFormat==="channelsFirst"?(i=2,a=3):(i=1,a=2);let u=o[i],l=o[a],c=this.kernelSize[0],p=this.kernelSize[1],m=this.strides[0],f=this.strides[1],d=Ys(u,m,c,this.padding),h=Ys(l,f,p,this.padding),g=[s,d,h,this.filters];this.dataFormat!=="channelsLast"&&(n=Ot(n,[0,2,3,1]));let x=em(n,this.kernel.read(),g,this.strides,this.padding);return this.dataFormat!=="channelsLast"&&(x=Ot(x,[0,3,1,2])),this.bias!=null&&(x=fn(x,this.bias.read(),this.dataFormat)),this.activation!=null&&(x=this.activation.apply(x)),x})}computeOutputShape(t){t=Bt(t);let e=t.slice(),n,o,s;this.dataFormat==="channelsFirst"?(n=1,o=2,s=3):(n=3,o=1,s=2);let i=this.kernelSize[0],a=this.kernelSize[1],u=this.strides[0],l=this.strides[1];return e[n]=this.filters,e[o]=Ys(e[o],u,i,this.padding),e[s]=Ys(e[s],l,a,this.padding),e}getConfig(){let t=super.getConfig();return delete t.dilationRate,t}};Qm.className="Conv2DTranspose";Q.registerClass(Qm);var tf=class extends al{constructor(t){if(super(t),this.inputSpec=[new ye({ndim:5})],this.padding!=="same"&&this.padding!=="valid")throw new M(`Conv3DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(t){if(t=Bt(t),t.length!==5)throw new M("Input should have rank 5; Received input shape: "+JSON.stringify(t));let e=this.dataFormat==="channelsFirst"?1:t.length-1;if(t[e]==null)throw new M("The channel dimension of the inputs should be defined. Found `None`.");let n=t[e],o=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",o,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new ye({ndim:5,axes:{[e]:n}})],this.built=!0}call(t,e){return B(()=>{let n=Nt(t);if(n.shape.length!==5)throw new M(`Conv3DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let o=n.shape,s=o[0],i,a,u;this.dataFormat==="channelsFirst"?(u=2,i=3,a=4):(u=1,i=2,a=3);let l=o[u],c=o[i],p=o[a],m=this.kernelSize[0],f=this.kernelSize[1],d=this.kernelSize[2],h=this.strides[0],g=this.strides[1],x=this.strides[2],b=Ys(l,h,m,this.padding),w=Ys(c,g,f,this.padding),C=Ys(p,x,d,this.padding),N=[s,b,w,C,this.filters];this.dataFormat!=="channelsLast"&&(n=Ot(n,[0,2,3,4,1]));let _=Ex(n,this.kernel.read(),N,this.strides,this.padding);return this.dataFormat!=="channelsLast"&&(_=Ot(_,[0,4,1,2,3])),this.bias!==null&&(_=fn(_,this.bias.read(),this.dataFormat)),this.activation!==null&&(_=this.activation.apply(_)),_})}computeOutputShape(t){t=Bt(t);let e=t.slice(),n,o,s,i;this.dataFormat==="channelsFirst"?(n=1,o=2,s=3,i=4):(n=4,o=1,s=2,i=3);let a=this.kernelSize[0],u=this.kernelSize[1],l=this.kernelSize[2],c=this.strides[0],p=this.strides[1],m=this.strides[2];return e[n]=this.filters,e[o]=Ys(e[o],c,a,this.padding),e[s]=Ys(e[s],p,u,this.padding),e[i]=Ys(e[i],m,l,this.padding),e}getConfig(){let t=super.getConfig();return delete t.dilationRate,t}};tf.className="Conv3DTranspose";Q.registerClass(tf);var fb=class extends Iu{constructor(t,e){if(super(t,e),this.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",this.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",this.depthwiseKernel=null,this.pointwiseKernel=null,e.filters==null)throw new M("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(e.kernelInitializer!=null||e.kernelRegularizer!=null||e.kernelConstraint!=null)throw new M("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(e.padding!=null&&e.padding!=="same"&&e.padding!=="valid")throw new M(`SeparableConv${this.rank}D supports only padding modes: 'same' and 'valid', but received ${JSON.stringify(e.padding)}`);this.depthMultiplier=e.depthMultiplier==null?1:e.depthMultiplier,this.depthwiseInitializer=de(e.depthwiseInitializer||this.DEFAULT_DEPTHWISE_INITIALIZER),this.depthwiseRegularizer=be(e.depthwiseRegularizer),this.depthwiseConstraint=Be(e.depthwiseConstraint),this.pointwiseInitializer=de(e.depthwiseInitializer||this.DEFAULT_POINTWISE_INITIALIZER),this.pointwiseRegularizer=be(e.pointwiseRegularizer),this.pointwiseConstraint=Be(e.pointwiseConstraint)}build(t){if(t=Bt(t),t.length{t=Nt(t);let n;if(this.rank===1)throw new St("1D separable convolution is not implemented yet.");return this.rank===2&&(this.dataFormat==="channelsFirst"&&(t=Ot(t,[0,2,3,1])),n=mm(t,this.depthwiseKernel.read(),this.pointwiseKernel.read(),this.strides,this.padding,this.dilationRate,"NHWC")),this.useBias&&(n=fn(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),this.dataFormat==="channelsFirst"&&(n=Ot(n,[0,3,1,2])),n})}getConfig(){let t=super.getConfig();return delete t.rank,delete t.kernelInitializer,delete t.kernelRegularizer,delete t.kernelConstraint,t.depthwiseInitializer=Te(this.depthwiseInitializer),t.pointwiseInitializer=Te(this.pointwiseInitializer),t.depthwiseRegularizer=me(this.depthwiseRegularizer),t.pointwiseRegularizer=me(this.pointwiseRegularizer),t.depthwiseConstraint=ze(this.depthwiseConstraint),t.pointwiseConstraint=ze(this.pointwiseConstraint),t}};fb.className="SeparableConv";var ef=class extends fb{constructor(t){super(2,t)}};ef.className="SeparableConv2D";Q.registerClass(ef);var Su=class extends Iu{constructor(t){super(1,t),Su.verifyArgs(t),this.inputSpec=[{ndim:3}]}getConfig(){let t=super.getConfig();return delete t.rank,delete t.dataFormat,t}static verifyArgs(t){if(typeof t.kernelSize!="number"&&!Cy(t.kernelSize,"number",1,1))throw new M(`Conv1D expects config.kernelSize to be number or number[] with length 1, but received ${JSON.stringify(t.kernelSize)}.`)}};Su.className="Conv1D";Q.registerClass(Su);var rf=class extends $t{constructor(t){super(t),typeof t.cropping=="number"?this.cropping=[[t.cropping,t.cropping],[t.cropping,t.cropping]]:typeof t.cropping[0]=="number"?this.cropping=[[t.cropping[0],t.cropping[0]],[t.cropping[1],t.cropping[1]]]:this.cropping=t.cropping,this.dataFormat=t.dataFormat===void 0?"channelsLast":t.dataFormat,this.inputSpec=[{ndim:4}]}computeOutputShape(t){return this.dataFormat==="channelsFirst"?[t[0],t[1],t[2]-this.cropping[0][0]-this.cropping[0][1],t[3]-this.cropping[1][0]-this.cropping[1][1]]:[t[0],t[1]-this.cropping[0][0]-this.cropping[0][1],t[2]-this.cropping[1][0]-this.cropping[1][1],t[3]]}call(t,e){return B(()=>{if(t=Nt(t),this.dataFormat==="channelsLast"){let n=wh(t,this.cropping[0][0],t.shape[1]-this.cropping[0][0]-this.cropping[0][1],2);return wh(n,this.cropping[1][0],t.shape[2]-this.cropping[1][1]-this.cropping[1][0],3)}else{let n=wh(t,this.cropping[0][0],t.shape[2]-this.cropping[0][0]-this.cropping[0][1],3);return wh(n,this.cropping[1][0],t.shape[3]-this.cropping[1][1]-this.cropping[1][0],4)}})}getConfig(){let t={cropping:this.cropping,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}};rf.className="Cropping2D";Q.registerClass(rf);var nf=class extends $t{constructor(t){super(t),this.DEFAULT_SIZE=[2,2],this.inputSpec=[{ndim:4}],this.size=t.size==null?this.DEFAULT_SIZE:t.size,this.dataFormat=t.dataFormat==null?"channelsLast":t.dataFormat,Fe(this.dataFormat),this.interpolation=t.interpolation==null?"nearest":t.interpolation,E$(this.interpolation)}computeOutputShape(t){if(this.dataFormat==="channelsFirst"){let e=t[2]==null?null:this.size[0]*t[2],n=t[3]==null?null:this.size[1]*t[3];return[t[0],t[1],e,n]}else{let e=t[1]==null?null:this.size[0]*t[1],n=t[2]==null?null:this.size[1]*t[2];return[t[0],e,n,t[3]]}}call(t,e){return B(()=>{let n=Nt(t),o=n.shape;if(this.dataFormat==="channelsFirst"){n=Ot(n,[0,2,3,1]);let s=this.size[0]*o[2],i=this.size[1]*o[3],a=this.interpolation==="nearest"?Gs.resizeNearestNeighbor(n,[s,i]):Gs.resizeBilinear(n,[s,i]);return Ot(a,[0,3,1,2])}else{let s=this.size[0]*o[1],i=this.size[1]*o[2];return this.interpolation==="nearest"?Gs.resizeNearestNeighbor(n,[s,i]):Gs.resizeBilinear(n,[s,i])}})}getConfig(){let t={size:this.size,dataFormat:this.dataFormat,interpolation:this.interpolation},e=super.getConfig();return Object.assign(t,e),t}};nf.className="UpSampling2D";Q.registerClass(nf);function Z8(r,t,e=[1,1],n="valid",o,s){return B(()=>{o==null&&(o=mn()),Fe(o);let i=Ah(r,o);if(r.rank!==4)throw new M(`Input for depthwiseConv2d is required to be 4-D, but is instead ${r.rank}-D`);if(t.rank!==4)throw new M(`depthwiseKernel is required to be 4-D, but is instead ${t.rank}-D`);return i=Fi(i,t,e,n==="same"?"same":"valid","NHWC",s),o==="channelsFirst"&&(i=Ot(i,[0,3,1,2])),i})}var of=class extends bc{constructor(t){super(2,t),this.depthwiseKernel=null,this.depthMultiplier=t.depthMultiplier==null?1:t.depthMultiplier,this.depthwiseInitializer=de(t.depthwiseInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.depthwiseConstraint=Be(t.depthwiseConstraint),this.depthwiseRegularizer=be(t.depthwiseRegularizer)}build(t){if(t=Bt(t),t.length<4)throw new M(`Inputs to DepthwiseConv2D should have rank 4. Received input shape: ${JSON.stringify(t)}.`);let e=this.dataFormat==="channelsFirst"?1:3;if(t[e]==null||t[e]<0)throw new M(`The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not (${t[e]}).`);let n=t[e],o=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",o,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(t,e){return B(()=>{t=Nt(t);let n=Z8(t,this.depthwiseKernel.read(),this.strides,this.padding,this.dataFormat,null);return this.useBias&&(n=fn(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),n})}computeOutputShape(t){t=Bt(t);let e=this.dataFormat==="channelsFirst"?t[2]:t[1],n=this.dataFormat==="channelsFirst"?t[3]:t[2],o=this.dataFormat==="channelsFirst"?t[1]*this.depthMultiplier:t[3]*this.depthMultiplier,s=Nn(e,this.kernelSize[0],this.padding,this.strides[0]),i=Nn(n,this.kernelSize[1],this.padding,this.strides[1]);return this.dataFormat==="channelsFirst"?[t[0],o,s,i]:[t[0],s,i,o]}getConfig(){let t=super.getConfig();return t.depthMultiplier=this.depthMultiplier,t.depthwiseInitializer=Te(this.depthwiseInitializer),t.depthwiseRegularizer=me(this.depthwiseRegularizer),t.depthwiseConstraint=ze(this.depthwiseRegularizer),t}};of.className="DepthwiseConv2D";Q.registerClass(of);function Bv(r,t,e,n){if(Array.isArray(r)){if(t!=null||e!=null)throw new M("When inputs is an array, neither initialState or constants should be provided");n!=null&&(e=r.slice(r.length-n,r.length),r=r.slice(0,r.length-n)),r.length>1&&(t=r.slice(1,r.length)),r=r[0]}function o(s){return s==null||Array.isArray(s)?s:[s]}return t=o(t),e=o(e),{inputs:r,initialState:t,constants:e}}function Vv(r,t,e,n=!1,o,s,i=!1,a=!1){return B(()=>{let u=t.shape.length;if(u<3)throw new M(`Input should be at least 3D, but is ${u}D.`);let l=[1,0].concat(Zr(2,u));if(t=Ot(t,l),s!=null)throw new St("The rnn() functoin of the deeplearn.js backend does not support constants yet.");i&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),o!=null&&(o=J(J(o,"bool"),"float32"),o.rank===u-1&&(o=rr(o,-1)),o=Ot(o,l)),n&&(t=pr(t,0),o!=null&&(o=pr(o,0)));let c=[],p,m=e,f=t.shape[0],d=vr(t),h;o!=null&&(h=vr(o));for(let x=0;xr(b,m));if(o==null)p=w[0],m=w[1];else{let C=B(()=>{let N=h[x],_=ct(yr(N),N),A=X(D(w[0],N),D(m[0],_)),$=m.map((F,P)=>X(D(w[1][P],N),D(F,_)));return{output:A,newStates:$}});p=C.output,m=C.newStates}a&&c.push(p)}let g;return a&&(g=nr(c,1)),[p,g,m]})}var Tn=class extends $t{constructor(t){super(t);let e;if(t.cell==null)throw new M("cell property is missing for the constructor of RNN.");if(Array.isArray(t.cell)?e=new Ic({cells:t.cell}):e=t.cell,e.stateSize==null)throw new M("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");this.cell=e,this.returnSequences=t.returnSequences==null?!1:t.returnSequences,this.returnState=t.returnState==null?!1:t.returnState,this.goBackwards=t.goBackwards==null?!1:t.goBackwards,this._stateful=t.stateful==null?!1:t.stateful,this.unroll=t.unroll==null?!1:t.unroll,this.supportsMasking=!0,this.inputSpec=[new ye({ndim:3})],this.stateSpec=null,this.states_=null,this.numConstants=null,this.keptStates=[]}getStates(){if(this.states_==null){let t=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;return Zr(0,t).map(e=>null)}else return this.states_}setStates(t){this.states_=t}computeOutputShape(t){$y(t)&&(t=t[0]),t=t;let e=this.cell.stateSize;Array.isArray(e)||(e=[e]);let n=e[0],o;if(this.returnSequences?o=[t[0],t[1],n]:o=[t[0],n],this.returnState){let s=[];for(let i of e)s.push([t[0],i]);return[o].concat(s)}else return o}computeMask(t,e){return B(()=>{Array.isArray(e)&&(e=e[0]);let n=this.returnSequences?e:null;if(this.returnState){let o=this.states.map(s=>null);return[n].concat(o)}else return n})}get states(){if(this.states_==null){let t=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,e=[];for(let n=0;na.shape[a.shape.length-1]),i))throw new M(`An initialState was passed that is not compatible with cell.stateSize. Received stateSpec=${this.stateSpec}; However cell.stateSize is ${this.cell.stateSize}`)}else this.stateSpec=i.map(a=>new ye({shape:[null,a]}));this.stateful&&this.resetStates()}resetStates(t,e=!1){B(()=>{if(!this.stateful)throw new vn("Cannot call resetStates() on an RNN Layer that is not stateful.");let n=this.inputSpec[0].shape[0];if(n==null)throw new M("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(this.states_==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(o=>Ne([n,o])):this.states_=[Ne([n,this.cell.stateSize])];else if(t==null)vt(this.states_),this.keptStates!=null&&(vt(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(o=>Ne([n,o])):this.states_[0]=Ne([n,this.cell.stateSize]);else{if(Array.isArray(t)||(t=[t]),t.length!==this.states_.length)throw new M(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${t.length} state value(s). Input received: ${t}`);e===!0?this.keptStates.push(this.states_.slice()):vt(this.states_);for(let o=0;oDe(o.clone()))})}apply(t,e){let n=e==null?null:e.initialState,o=e==null?null:e.constants;e==null&&(e={});let s=Bv(t,n,o,this.numConstants);t=s.inputs,n=s.initialState,o=s.constants;let i=[],a=[];if(n!=null){e.initialState=n,i=i.concat(n),this.stateSpec=[];for(let l of n)this.stateSpec.push(new ye({shape:l.shape}));a=a.concat(this.stateSpec)}if(o!=null&&(e.constants=o,i=i.concat(o),this.numConstants=o.length),i[0]instanceof Jr){let l=[t].concat(i),c=this.inputSpec.concat(a),p=this.inputSpec;this.inputSpec=c;let m=super.apply(l,e);return this.inputSpec=p,m}else return super.apply(t,e)}call(t,e){return B(()=>{let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;t=Nt(t),s==null&&(this.stateful?s=this.states_:s=this.getInitialState(t));let i=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;if(s.length!==i)throw new M(`RNN Layer has ${i} state(s) but was passed ${s.length} initial state(s).`);this.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");let a={training:o},l=Vv((d,h)=>{let g=this.cell.call([d].concat(h),a);return[g[0],g.slice(1)]},t,s,this.goBackwards,n,null,this.unroll,this.returnSequences),c=l[0],p=l[1],m=l[2];this.stateful&&this.resetStates(m,o);let f=this.returnSequences?p:c;return this.returnState?[f].concat(m):f})}getInitialState(t){return B(()=>{let e=Ne(t.shape);return e=ft(e,[1,2]),e=nl(e),Array.isArray(this.cell.stateSize)?this.cell.stateSize.map(n=>n>1?Ey(e,[1,n]):e):this.cell.stateSize>1?[Ey(e,[1,this.cell.stateSize])]:[e]})}get trainableWeights(){return this.trainable?this.cell.trainableWeights:[]}get nonTrainableWeights(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}setFastWeightInitDuringBuild(t){super.setFastWeightInitDuringBuild(t),this.cell!=null&&this.cell.setFastWeightInitDuringBuild(t)}getConfig(){let t=super.getConfig(),e={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};this.numConstants!=null&&(e.numConstants=this.numConstants);let n=this.cell.getConfig();return this.getClassName()===Tn.className&&(e.cell={className:this.cell.getClassName(),config:n}),Object.assign(Object.assign(Object.assign({},n),t),e)}static fromConfig(t,e,n={}){let o=e.cell,s=gn(o,n);return new t(Object.assign(e,{cell:s}))}};Tn.className="RNN";Q.registerClass(Tn);var ll=class extends $t{},wc=class extends ll{constructor(t){super(t),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=t.units,Ze(this.units,"units"),this.activation=Xs(t.activation==null?this.DEFAULT_ACTIVATION:t.activation),this.useBias=t.useBias==null?!0:t.useBias,this.kernelInitializer=de(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=de(t.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=de(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=be(t.kernelRegularizer),this.recurrentRegularizer=be(t.recurrentRegularizer),this.biasRegularizer=be(t.biasRegularizer),this.kernelConstraint=Be(t.kernelConstraint),this.recurrentConstraint=Be(t.recurrentConstraint),this.biasConstraint=Be(t.biasConstraint),this.dropout=ac([1,qs([0,t.dropout==null?0:t.dropout])]),this.recurrentDropout=ac([1,qs([0,t.recurrentDropout==null?0:t.recurrentDropout])]),this.dropoutFunc=t.dropoutFunc,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(t){t=Bt(t),this.kernel=this.addWeight("kernel",[t[t.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(t,e){return B(()=>{if(t=t,t.length!==2)throw new M(`SimpleRNNCell expects 2 input Tensors, got ${t.length}.`);let n=t[1];t=t[0];let o=e.training==null?!1:e.training;0yr(t),rate:this.dropout,training:o,dropoutFunc:this.dropoutFunc})),0yr(n),rate:this.recurrentDropout,training:o,dropoutFunc:this.dropoutFunc}));let s,i=this.dropoutMask,a=this.recurrentDropoutMask;i!=null?s=To(D(t,i),this.kernel.read()):s=To(t,this.kernel.read()),this.bias!=null&&(s=fn(s,this.bias.read())),a!=null&&(n=D(n,a));let u=X(s,To(n,this.recurrentKernel.read()));return this.activation!=null&&(u=this.activation.apply(u)),[u,u]})}getConfig(){let t=super.getConfig(),e={units:this.units,activation:js(this.activation),useBias:this.useBias,kernelInitializer:Te(this.kernelInitializer),recurrentInitializer:Te(this.recurrentInitializer),biasInitializer:Te(this.biasInitializer),kernelRegularizer:me(this.kernelRegularizer),recurrentRegularizer:me(this.recurrentRegularizer),biasRegularizer:me(this.biasRegularizer),activityRegularizer:me(this.activityRegularizer),kernelConstraint:ze(this.kernelConstraint),recurrentConstraint:ze(this.recurrentConstraint),biasConstraint:ze(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign(Object.assign({},t),e)}};wc.className="SimpleRNNCell";Q.registerClass(wc);var sf=class extends Tn{constructor(t){t.cell=new wc(t),super(t)}call(t,e){return B(()=>{this.cell.dropoutMask!=null&&(vt(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(vt(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;return super.call(t,{mask:n,training:o,initialState:s})})}static fromConfig(t,e){return new t(e)}};sf.className="SimpleRNN";Q.registerClass(sf);var Cc=class extends ll{constructor(t){if(super(t),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",t.resetAfter)throw new M("GRUCell does not support reset_after parameter set to true.");this.units=t.units,Ze(this.units,"units"),this.activation=Xs(t.activation===void 0?this.DEFAULT_ACTIVATION:t.activation),this.recurrentActivation=Xs(t.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),this.useBias=t.useBias==null?!0:t.useBias,this.kernelInitializer=de(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=de(t.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=de(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=be(t.kernelRegularizer),this.recurrentRegularizer=be(t.recurrentRegularizer),this.biasRegularizer=be(t.biasRegularizer),this.kernelConstraint=Be(t.kernelConstraint),this.recurrentConstraint=Be(t.recurrentConstraint),this.biasConstraint=Be(t.biasConstraint),this.dropout=ac([1,qs([0,t.dropout==null?0:t.dropout])]),this.recurrentDropout=ac([1,qs([0,t.recurrentDropout==null?0:t.recurrentDropout])]),this.dropoutFunc=t.dropoutFunc,this.implementation=t.implementation,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(t){t=Bt(t);let e=t[t.length-1];this.kernel=this.addWeight("kernel",[e,this.units*3],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*3],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units*3],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(t,e){return B(()=>{if(t=t,t.length!==2)throw new M(`GRUCell expects 2 input Tensors (inputs, h, c), got ${t.length}.`);let n=e.training==null?!1:e.training,o=t[1];t=t[0],0yr(t),rate:this.dropout,training:n,count:3,dropoutFunc:this.dropoutFunc})),0yr(o),rate:this.recurrentDropout,training:n,count:3,dropoutFunc:this.dropoutFunc}));let s=this.dropoutMask,i=this.recurrentDropoutMask,a,u,l;0{this.cell.dropoutMask!=null&&(vt(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(vt(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;return super.call(t,{mask:n,training:o,initialState:s})})}static fromConfig(t,e){return e.implmentation===0&&(e.implementation=1),new t(e)}};af.className="GRU";Q.registerClass(af);var ul=class extends ll{constructor(t){super(t),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=t.units,Ze(this.units,"units"),this.activation=Xs(t.activation===void 0?this.DEFAULT_ACTIVATION:t.activation),this.recurrentActivation=Xs(t.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),this.useBias=t.useBias==null?!0:t.useBias,this.kernelInitializer=de(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=de(t.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=de(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.unitForgetBias=t.unitForgetBias,this.kernelRegularizer=be(t.kernelRegularizer),this.recurrentRegularizer=be(t.recurrentRegularizer),this.biasRegularizer=be(t.biasRegularizer),this.kernelConstraint=Be(t.kernelConstraint),this.recurrentConstraint=Be(t.recurrentConstraint),this.biasConstraint=Be(t.biasConstraint),this.dropout=ac([1,qs([0,t.dropout==null?0:t.dropout])]),this.recurrentDropout=ac([1,qs([0,t.recurrentDropout==null?0:t.recurrentDropout])]),this.dropoutFunc=t.dropoutFunc,this.implementation=t.implementation,this.stateSize=[this.units,this.units],this.dropoutMask=null,this.recurrentDropoutMask=null}build(t){var e;t=Bt(t);let n=t[t.length-1];this.kernel=this.addWeight("kernel",[n,this.units*4],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*4],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint);let o;if(this.useBias){if(this.unitForgetBias){let s=this.biasInitializer,i=this.units;o=new(e=class extends dn{apply(u,l){let c=s.apply([i]),p=new yu().apply([i]),m=s.apply([i*2]);return Tv(Tv(c,p),m)}},e.className="CustomInit",e)}else o=this.biasInitializer;this.bias=this.addWeight("bias",[this.units*4],null,o,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0}call(t,e){return B(()=>{let n=e.training==null?!1:e.training;if(t=t,t.length!==3)throw new M(`LSTMCell expects 3 input Tensors (inputs, h, c), got ${t.length}.`);let o=t[1],s=t[2];t=t[0],0yr(t),rate:this.dropout,training:n,count:4,dropoutFunc:this.dropoutFunc})),0yr(o),rate:this.recurrentDropout,training:n,count:4,dropoutFunc:this.dropoutFunc}));let i=this.dropoutMask,a=this.recurrentDropoutMask,u,l,c,p;0{this.cell.dropoutMask!=null&&(vt(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(vt(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;return super.call(t,{mask:n,training:o,initialState:s})})}static fromConfig(t,e){return e.implmentation===0&&(e.implementation=1),new t(e)}};lf.className="LSTM";Q.registerClass(lf);var Ic=class extends ll{constructor(t){super(t),this.cells=t.cells}get stateSize(){let t=[];for(let e of this.cells.slice().reverse())Array.isArray(e.stateSize)?t.push(...e.stateSize):t.push(e.stateSize);return t}call(t,e){return B(()=>{t=t;let n=t.slice(1),o=[];for(let a of this.cells.slice().reverse())Array.isArray(a.stateSize)?o.push(n.splice(0,a.stateSize.length)):o.push(n.splice(0,1));o.reverse();let s=[],i;for(let a=0;a{Hs(`RNNCell_${o}`,()=>{n.build(t),Array.isArray(n.stateSize)?e=n.stateSize[0]:e=n.stateSize,t=[t[0],e]})}),this.built=!0}getConfig(){let t=super.getConfig(),e=s=>({className:s.getClassName(),config:s.getConfig()}),o={cells:this.cells.map(e)};return Object.assign(Object.assign({},t),o)}static fromConfig(t,e,n={}){let o=[];for(let s of e.cells)o.push(gn(s,n));return new t({cells:o})}get trainableWeights(){if(!this.trainable)return[];let t=[];for(let e of this.cells)t.push(...e.trainableWeights);return t}get nonTrainableWeights(){let t=[];for(let e of this.cells)t.push(...e.nonTrainableWeights);if(!this.trainable){let e=[];for(let n of this.cells)e.push(...n.trainableWeights);return e.concat(t)}return t}getWeights(){let t=[];for(let e of this.cells)t.push(...e.weights);return Ih(t)}setWeights(t){let e=[];for(let n of this.cells){let o=n.weights.length,s=t.splice(o);for(let i=0;is!=null?s(t(),e):Ay(t(),e),a=()=>xu(i,t,n);return!o||o<=1?De(a().clone()):Array(o).fill(void 0).map(a).map(l=>De(l.clone()))}var J8=function(r,t){var e={};for(var n in r)Object.prototype.hasOwnProperty.call(r,n)&&t.indexOf(n)<0&&(e[n]=r[n]);if(r!=null&&typeof Object.getOwnPropertySymbols=="function")for(var o=0,n=Object.getOwnPropertySymbols(r);o{if(this.cell.dropoutMask!=null&&(vt(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(vt(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null),e&&e.constants)throw new M("ConvRNN2D cell does not support constants");let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;return super.call(t,{mask:n,training:o,initialState:s})})}computeOutputShape(t){let e=this.computeSingleOutputShape(t);return this.returnSequences||(e=[e[0],...e.slice(2)]),this.returnState&&(e=[e,...Array(2).fill([t[0],...e.slice(-3)])]),e}getInitialState(t){return B(()=>{let{stateSize:e}=this.cell,n=t.shape,o=this.computeSingleOutputShape(n),s=[o[0],...o.slice(2)],i=Ne(s);return Array.isArray(e)?Array(e.length).fill(i):[i]})}resetStates(t,e=!1){B(()=>{if(!this.stateful)throw new vn("Cannot call resetStates() on an RNN Layer that is not stateful.");let n=this.inputSpec[0].shape,o=this.computeSingleOutputShape(n),s=[o[0],...o.slice(2)];if(n[0]==null)throw new M("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(this.getStates()==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>Ne(s)):this.states_=[Ne(s)];else if(t==null)vt(this.states_),this.keptStates!=null&&(vt(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>Ne(s)):this.states_[0]=Ne(s);else{if(Array.isArray(t)||(t=[t]),t.length!==this.states_.length)throw new M(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${t.length} state value(s). Input received: ${t}`);e?this.keptStates.push(this.states_.slice()):vt(this.states_);for(let a=0;aDe(a.clone()))})}computeSingleOutputShape(t){let{dataFormat:e,filters:n,kernelSize:o,padding:s,strides:i,dilationRate:a}=this.cell,u=e==="channelsFirst",l=t[u?3:2],c=t[u?4:3],p=Nn(l,o[0],s,i[0],a[0]),m=Nn(c,o[1],s,i[1],a[1]);return[...t.slice(0,2),...u?[n,p,m]:[p,m,n]]}};db.className="ConvRNN2D";var Sc=class extends ul{constructor(t){let{filters:e,kernelSize:n,strides:o,padding:s,dataFormat:i,dilationRate:a}=t;super(Object.assign(Object.assign({},t),{units:e})),this.filters=e,Ze(this.filters,"filters"),this.kernelSize=Cu(n,2,"kernelSize"),this.kernelSize.forEach(u=>Ze(u,"kernelSize")),this.strides=Cu(o||1,2,"strides"),this.strides.forEach(u=>Ze(u,"strides")),this.padding=s||"valid",pn(this.padding),this.dataFormat=i||"channelsLast",Fe(this.dataFormat),this.dilationRate=Cu(a||1,2,"dilationRate"),this.dilationRate.forEach(u=>Ze(u,"dilationRate"))}build(t){var e;t=Bt(t);let n=this.dataFormat==="channelsFirst"?1:t.length-1;if(t[n]==null)throw new M(`The channel dimension of the input should be defined. Found ${t[n]}`);let o=t[n],s=4,i=this.kernelSize.concat([o,this.filters*s]);this.kernel=this.addWeight("kernel",i,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);let a=this.kernelSize.concat([this.filters,this.filters*s]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",a,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){let u;if(this.unitForgetBias){let l=this.biasInitializer,c=this.filters;u=new(e=class extends dn{apply(m,f){let d=l.apply([c]),h=cr([c]),g=l.apply([c*2]);return Nm([d,h,g])}},e.className="CustomInit",e)}else u=this.biasInitializer;this.bias=this.addWeight("bias",[this.filters*s],null,u,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0}call(t,e){return B(()=>{if(t.length!==3)throw new M(`ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got ${t.length}.`);let n=e.training||!1,o=t[0],s=t[1],i=t[2],a=4;0yr(o),rate:this.dropout,training:n,count:a,dropoutFunc:this.dropoutFunc}));let u=this.dropoutMask,l=(rt,ot,at)=>!ot||!ot[at]?rt:D(ot[at],rt),c=l(o,u,0),p=l(o,u,1),m=l(o,u,2),f=l(o,u,3);0yr(s),rate:this.recurrentDropout,training:n,count:a,dropoutFunc:this.dropoutFunc}));let d=this.recurrentDropoutMask,h=l(s,d,0),g=l(s,d,1),x=l(s,d,2),b=l(s,d,3),w=3,[C,N,_,A]=mr(this.kernel.read(),a,w),[$,F,P,V]=this.useBias?mr(this.bias.read(),a):[null,null,null,null];c=this.inputConv(c,C,$,this.padding),p=this.inputConv(p,N,F,this.padding),m=this.inputConv(m,_,P,this.padding),f=this.inputConv(f,A,V,this.padding);let[G,W,q,H]=mr(this.recurrentKernel.read(),a,w);h=this.recurrentConv(h,G),g=this.recurrentConv(g,W),x=this.recurrentConv(x,q),b=this.recurrentConv(b,H);let j=this.recurrentActivation.apply(X(c,h)),Y=this.recurrentActivation.apply(X(p,g)),Z=X(D(Y,i),D(j,this.activation.apply(X(m,x)))),et=D(this.recurrentActivation.apply(X(f,b)),this.activation.apply(Z));return[et,et,Z]})}getConfig(){let t=super.getConfig(),{units:e}=t,n=J8(t,["units"]),o={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign(Object.assign({},n),o)}inputConv(t,e,n,o){let s=In(t,e,this.strides,o||"valid",this.dataFormat==="channelsFirst"?"NCHW":"NHWC",this.dilationRate);return n?fn(s,n,this.dataFormat):s}recurrentConv(t,e){return In(t,e,1,"same",this.dataFormat==="channelsFirst"?"NCHW":"NHWC")}};Sc.className="ConvLSTM2DCell";Q.registerClass(Sc);var uf=class extends db{constructor(t){let e=new Sc(t);super(Object.assign(Object.assign({},t),{cell:e}))}static fromConfig(t,e){return new t(e)}};uf.className="ConvLSTM2D";Q.registerClass(uf);var vc=class extends $t{constructor(t){super(t),this.rate=Math.max(Math.min(t.rate,1),0),this.noiseShape=t.noiseShape,this.seed=t.seed,this.supportsMasking=!0}getNoiseShape(t){if(this.noiseShape==null)return this.noiseShape;let e=t.shape,n=[];for(let o=0;o{this.invokeCallHook(t,e);let n=Nt(t);if(0Ay(n,this.rate,s,this.seed),()=>n,o)}return t})}getConfig(){let t={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},e=super.getConfig();return Object.assign(t,e),t}dispose(){return super.dispose()}};vc.className="Dropout";Q.registerClass(vc);var cf=class extends vc{constructor(t){super(t),this.inputSpec=[{ndim:3}]}getNoiseShape(t){let e=t.shape;return[e[0],1,e[2]]}};cf.className="SpatialDropout1D";Q.registerClass(cf);var pf=class extends $t{constructor(t){if(super(t),this.activation=null,this.useBias=!0,this.kernel=null,this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",t.batchInputShape==null&&t.inputShape==null&&t.inputDim!=null){let e=null;t.batchSize!=null&&(e=t.batchSize),this.batchInputShape=[e,t.inputDim]}this.units=t.units,Ze(this.units,"units"),this.activation=Xs(t.activation),t.useBias!=null&&(this.useBias=t.useBias),this.kernelInitializer=de(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.biasInitializer=de(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelConstraint=Be(t.kernelConstraint),this.biasConstraint=Be(t.biasConstraint),this.kernelRegularizer=be(t.kernelRegularizer),this.biasRegularizer=be(t.biasRegularizer),this.activityRegularizer=be(t.activityRegularizer),this.supportsMasking=!0,this.inputSpec=[{minNDim:2}]}build(t){t=Bt(t);let e=t[t.length-1];this.kernel==null&&(this.kernel=this.addWeight("kernel",[e,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:{[-1]:e}}],this.built=!0}computeOutputShape(t){t=Bt(t);let e=t.slice();return e[e.length-1]=this.units,e}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=Nt(t),o=Iy(this.activation.getClassName()),s;return o!=null?s=To(n,this.kernel.read(),o,this.bias?this.bias.read():null):(s=To(n,this.kernel.read()),this.bias!=null&&(s=fn(s,this.bias.read())),this.activation!=null&&(s=this.activation.apply(s))),s})}getConfig(){let t={units:this.units,activation:js(this.activation),useBias:this.useBias,kernelInitializer:Te(this.kernelInitializer),biasInitializer:Te(this.biasInitializer),kernelRegularizer:me(this.kernelRegularizer),biasRegularizer:me(this.biasRegularizer),activityRegularizer:me(this.activityRegularizer),kernelConstraint:ze(this.kernelConstraint),biasConstraint:ze(this.biasConstraint)},e=super.getConfig();return Object.assign(t,e),t}};pf.className="Dense";Q.registerClass(pf);var mf=class extends $t{constructor(t){t=t||{},super(t),this.inputSpec=[{minNDim:3}],this.dataFormat=t.dataFormat}computeOutputShape(t){t=Bt(t);for(let e of t.slice(1))if(e==null)throw new M(`The shape of the input to "Flatten" is not fully defined (got ${t.slice(1)}). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.`);return[t[0],No(t,1)]}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=Nt(t);if(this.dataFormat==="channelsFirst"&&n.rank>1){let o=[0];for(let s=2;s{this.invokeCallHook(t,e);let n=Nt(t);return this.activation.apply(n)})}getConfig(){let t={activation:js(this.activation)},e=super.getConfig();return Object.assign(t,e),t}};ff.className="Activation";Q.registerClass(ff);var df=class extends $t{constructor(t){super(t),this.n=t.n,this.inputSpec=[{ndim:2}]}computeOutputShape(t){return[t[0],this.n,t[1]]}call(t,e){return B(()=>(t=Nt(t),$$(t,this.n)))}getConfig(){let t={n:this.n},e=super.getConfig();return Object.assign(t,e),t}};df.className="RepeatVector";Q.registerClass(df);var hf=class extends $t{constructor(t){super(t),this.targetShape=t.targetShape;for(let e=0;e{this.invokeCallHook(t,e);let n=Nt(t),o=n.shape,s=o.slice(0,1).concat(this.fixUnknownDimension(o.slice(1),this.targetShape));return R(n,s)})}getConfig(){let t={targetShape:this.targetShape},e=super.getConfig();return Object.assign(t,e),t}};hf.className="Reshape";Q.registerClass(hf);var gf=class extends $t{constructor(t){if(super(t),t.dims==null)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(t.dims))throw new Error(`Permute constructor requires \`dims\` to be an Array, but received ${t.dims} instead.`);let e=Zr(1,t.dims.length+1);if(!y.arraysEqual(t.dims.slice().sort(),e))throw new Error("Invalid permutation `dims`: "+JSON.stringify(t.dims)+" `dims` must contain consecutive integers starting from 1.");this.dims=t.dims,this.dimsIncludingBatch=[0].concat(this.dims),this.inputSpec=[new ye({ndim:this.dims.length+1})]}computeOutputShape(t){t=Bt(t);let e=t.slice();return this.dims.forEach((n,o)=>{e[o+1]=t[n]}),e}call(t,e){return Ot(Nt(t),this.dimsIncludingBatch)}getConfig(){let t={dims:this.dims},e=super.getConfig();return Object.assign(t,e),t}};gf.className="Permute";Q.registerClass(gf);var xf=class extends $t{constructor(t){super(t==null?{}:t),this.supportsMasking=!0,t!=null?this.maskValue=t.maskValue==null?0:t.maskValue:this.maskValue=0}computeOutputShape(t){return t}getConfig(){let t=super.getConfig(),e={maskValue:this.maskValue};return Object.assign(e,t),e}computeMask(t,e){let n=Nt(t),o=-1;return qu(Bs(n,this.maskValue),o)}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=Nt(t),o=-1,s=!0,i=qu(Bs(n,this.maskValue),o,s);return D(n,J(i,n.dtype))})}};xf.className="Masking";Q.registerClass(xf);var yf=class extends $t{constructor(t){if(super(t),this.embeddings=null,this.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",t.batchInputShape==null&&t.inputShape==null){let e=null;t.batchSize!=null&&(e=t.batchSize),t.inputLength==null?this.batchInputShape=[e,null]:this.batchInputShape=[e].concat(xe(t.inputLength))}this.inputDim=t.inputDim,Ze(this.inputDim,"inputDim"),this.outputDim=t.outputDim,Ze(this.outputDim,"outputDim"),this.embeddingsInitializer=de(t.embeddingsInitializer||this.DEFAULT_EMBEDDINGS_INITIALIZER),this.embeddingsRegularizer=be(t.embeddingsRegularizer),this.activityRegularizer=be(t.activityRegularizer),this.embeddingsConstraint=Be(t.embeddingsConstraint),this.maskZero=t.maskZero,this.supportsMasking=t.maskZero,this.inputLength=t.inputLength}build(t){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0}warnOnIncompatibleInputShape(t){}computeMask(t,e){return B(()=>this.maskZero?(t=Nt(t),Bs(t,It(t))):null)}computeOutputShape(t){if(t=Bt(t),this.inputLength==null)return[...t,this.outputDim];let e=xe(this.inputLength);if(e.length!==t.length-1)throw new M(`"inputLength" is ${this.inputLength}, but received input shape has shape ${t}`);{let n=0;for(let o=0;o{this.invokeCallHook(t,e);let n=Nt(t);n.dtype!=="int32"&&(n=no(n,"int32"));let o=_y(this.embeddings.read(),R(n,[n.size]));return R(o,Bt(this.computeOutputShape(n.shape)))})}getConfig(){let t={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:Te(this.embeddingsInitializer),embeddingsRegularizer:me(this.embeddingsRegularizer),activityRegularizer:me(this.activityRegularizer),embeddingsConstraint:ze(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},e=super.getConfig();return Object.assign(t,e),t}};yf.className="Embedding";Q.registerClass(yf);var pl=class extends $t{constructor(t){super(t||{}),this.supportsMasking=!0}mergeFunction(t){throw new St}computeElementwiseOpOutputShape(t,e){if(t==null||e==null)return null;if(t.length1)throw new M(`Can not merge tensors with different batch sizes. Got tensors with shapes: ${JSON.stringify(t)}.`);let n=t[0]==null?null:t[0].slice(1);for(let s=1;ss.length);t.indexOf(null)===-1&&vo(o).length===1?this.reshapeRequired=!1:this.reshapeRequired=!0}call(t,e){return B(()=>{if(t=t,this.reshapeRequired){let n=[],o=t.map(s=>s.rank);if(o.indexOf(null)===-1){let s=qs(o);for(let i of t){let a=i.rank;for(let u=0;u1){let c=Zr(1,l).concat([0]);n.push(Ot(u,c)),s=!0}else n.push(u)}let i=this.mergeFunction(n),a=i.rank;if(s){if(a==null){let u=i.shape,l=u.length,c=u[l-1],p=[c].concat(u.slice(0,u.length-1));i=R(Ot(R(i,[-1,c]),[1,0]),p)}else if(a>1){let u=[a-1].concat(Zr(0,a-1));i=Ot(i,u)}}return i}}else return this.mergeFunction(t)})}computeOutputShape(t){t=t;let e;t[0]==null?e=null:e=t[0].slice(1);for(let o=1;o{if(e==null)return null;if(!Array.isArray(e))throw new M("`mask` should be an Array");if(!Array.isArray(t))throw new M("`inputs` should be an Array");if(e.length!==t.length)throw new M(`The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths (${t.length} vs ${e.length})`);if(e.every(o=>o==null))return null;e=e.map(o=>o==null?o:rr(o,0));let n=e[0];for(let o=1;o{let e=t[0].clone();for(let n=1;n{let e=t[0].clone();for(let n=1;n{let e=t[0].clone();for(let n=1;n{let e=t[0];for(let n=1;n{let e=t[0];for(let n=1;n1)throw new M("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(t))}mergeFunction(t){return B(()=>Nm(t,this.axis))}computeOutputShape(t){if(!(Array.isArray(t)&&Array.isArray(t[0])))throw new M("A `Concatenate` layer should be called on a list of inputs.");let e=t,n=e[0].slice(),o=this.axis<0?n.length+this.axis:this.axis;for(let s of e.slice(1)){if(n[o]==null||s[o]==null){n[o]=null;break}n[o]+=s[o]}return n}computeMask(t,e){if(e==null)return null;if(!Array.isArray(e))throw new M("`mask` should be an array for Concatenate");if(!Array.isArray(t))throw new M("`inputs` should be an array for Concatenate");if(e.length!==t.length)throw new M(`Mismatch in the length of mask (${e.length}) and the legnth of inputs (${t.length})`);return B(()=>{let n=!0;if(e.forEach(i=>{if(i!=null){n=!1;return}}),n)return null;let o=[];for(let i=0;i3||t.shape.length>3)throw new St("batchDot is not implemented for tensors of 4D or higher rank yet");if(y.assert(r.shape.length>=2,()=>`batchDot requires the rank of x to be >= 2, but got ${r.shape.length}`),y.assert(r.shape.length>=2,()=>`batchDot requires the rank of y to be >= 2, but got ${t.shape.length}`),typeof e=="number"&&(e=[e,e]),r.dtype==="complex64"||t.dtype==="complex64")throw new St("batchDot is not implemented for complex64-type Tensors yet.");let n=r.shape.length,o=t.shape.length;e==null&&(e=[n-1,o-2]);let s=e;return B(()=>{let i;if(n>o){i=n-o;let u=[];for(let l=0;ln){i=o-n;let u=[];for(let l=0;l0){let u;n>o?u=n+o-3:u=n-1;let l=[];for(let c=u;c"A `Dot` layer should be called on a list of exactly 2 inputs.");let e=t[0],n=t[1];if(e.length>3||n.length>3)throw new St("Dot layer does not support tensors of 4D or higher rank yet.");let o=this.interpretAxes(e,n);if(e[o[0]]!==n[o[1]])throw new M(`Dimension incompatibility: ${e[o[0]]} !== ${n[o[1]]}`)}mergeFunction(t){if(t.length!==2)throw new M(`A \`Dot\` layer must be called on exactly 2 inputs, but received ${t.length} input(s).`);let e=t[0],n=t[1],o;return Array.isArray(this.axes)?o=this.axes.map((s,i)=>$h(s,t[i].shape.length)):o=[$h(this.axes,e.shape.length),$h(this.axes,n.shape.length)],this.normalize&&(e=Sh(e,o[0]),n=Sh(n,o[1])),Q8(e,n,o)}interpretAxes(t,e){let n;return Array.isArray(this.axes)?n=this.axes:n=[$h(this.axes,t.length),$h(this.axes,e.length)],n}computeOutputShape(t){y.assert(Array.isArray(t)&&t.length===2&&Array.isArray(t[0])&&Array.isArray(t[1]),()=>"A `Dot` layer should be called on a list of exactly 2 inputs.");let e=t[0].slice(),n=t[1].slice();if(e.length>3||n.length>3)throw new St("Dot layer does not support tensors of 4D or higher rank yet.");let o=this.interpretAxes(e,n);e.splice(o[0],1),n.splice(o[1],1),n.splice(0,1);let s=e.concat(n);return s.length===1&&s.push(1),s}computeMask(t,e){return null}getConfig(){let t={axes:this.axes,normalize:this.normalize},e=super.getConfig();return Object.assign(t,e),t}};Nf.className="Dot";Q.registerClass(Nf);var Tf=class extends $t{constructor(t){super(t),this.supportsMasking=!0,this.stddev=t.stddev}computeOutputShape(t){return t}getConfig(){let t=super.getConfig(),e={stddev:this.stddev};return Object.assign(e,t),e}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=Nt(t);return xu(()=>X(Tm(n.shape,0,this.stddev),n),()=>n,e.training||!1)})}};Tf.className="GaussianNoise";Q.registerClass(Tf);var kf=class extends $t{constructor(t){super(t),this.supportsMasking=!0,this.rate=t.rate}computeOutputShape(t){return t}getConfig(){let t=super.getConfig(),e={rate:this.rate};return Object.assign(e,t),e}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=Nt(t);return this.rate>0&&this.rate<1?xu(()=>{let s=Math.sqrt(this.rate/(1-this.rate));return D(n,Tm(n.shape,1,s))},()=>n,e.training||!1):n})}};kf.className="GaussianDropout";Q.registerClass(kf);var Ef=class extends $t{constructor(t){super(t),this.supportsMasking=!0,this.rate=t.rate,this.noiseShape=t.noiseShape}_getNoiseShape(t){return this.noiseShape||Nt(t).shape}computeOutputShape(t){return t}getConfig(){let t=super.getConfig(),e={rate:this.rate};return Object.assign(e,t),e}call(t,e){return B(()=>{if(this.rate<1&&this.rate>0){let n=this._getNoiseShape(t);return xu(()=>{let s=Nt(t),i=1.6732632423543772,a=1.0507009873554805,u=-i*a,l=ln(zi(n),this.rate);l=no(l,"float32");let c=((1-this.rate)*(1+this.rate*u**2))**-.5,p=-c*u*this.rate,m=X(D(s,l),D(X(l,-1),u));return X(D(m,c),p)},()=>Nt(t),e.training||!1)}return t})}};Ef.className="AlphaDropout";Q.registerClass(Ef);function Dh(r,t,e,n,o,s=.001){let i;if(r.rank===2)i=xx(r,t,e,n,o,s);else if(r.rank===3)i=yx(r,t,e,n,o,s);else if(r.rank===4)i=bx(r,t,e,n,o,s);else throw new St(`batchNormalization is not implemented for array of rank ${r.rank} yet`);return i}function tY(r,t,e,n,o=.001){return B(()=>{let s=Zu(r,n),i=s.mean,a=s.variance;return[Dh(r,i,a,e,t,o),i,a]})}function eY(r,t,e,n,o=.001){return B(()=>{let s=Zu(r,n),i=s.mean,a=s.variance,u=[];for(let d of Zr(0,r.rank))n.indexOf(d)!==-1?u.push(1):u.push(r.shape[d]);let l=R(i,u),c=R(a,u),p=t==null?null:R(t,u),m=e==null?null:R(e,u);return[Dh(r,l,c,m,p,o),i,a]})}function rY(r,t,e,n,o=.001){return y.arraysEqual(n.slice().sort(),Zr(0,r.rank-1))?tY(r,t,e,n,o):eY(r,t,e,n,o)}var _f=class extends $t{constructor(t){t==null&&(t={}),super(t),this.supportsMasking=!0,this.axis=t.axis==null?-1:t.axis,this.momentum=t.momentum==null?.99:t.momentum,this.epsilon=t.epsilon==null?.001:t.epsilon,this.center=t.center==null?!0:t.center,this.scale=t.scale==null?!0:t.scale,this.betaInitializer=de(t.betaInitializer||"zeros"),this.gammaInitializer=de(t.gammaInitializer||"ones"),this.movingMeanInitializer=de(t.movingMeanInitializer||"zeros"),this.movingVarianceInitializer=de(t.movingVarianceInitializer||"ones"),this.betaConstraint=Be(t.betaConstraint),this.gammaConstraint=Be(t.gammaConstraint),this.betaRegularizer=be(t.betaRegularizer),this.gammaRegularizer=be(t.gammaRegularizer)}build(t){t=Bt(t);let e=this.axis>=0?this.axis:this.axis+t.length,n=t[e];if(n==null)throw new M(`Axis ${e} of input tensor should have a defined dimension but the layer received an input with shape ${JSON.stringify(t)}.`);this.inputSpec=[new ye({ndim:t.length,axes:{[e]:n}})];let o=[n];this.scale&&(this.gamma=this.addWeight("gamma",o,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",o,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",o,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",o,null,this.movingVarianceInitializer,null,!1),this.built=!0}call(t,e){return B(()=>{let n=e.training==null?!1:e.training,o=Nt(t),s=o.shape,i=s.length,a=Zr(0,i),u=this.axis>=0?this.axis:this.axis+i;a.splice(u,1);let l=Io(1,i);l[u]=s[u];let c=a.slice();c.sort();let p=!y.arraysEqual(c,Zr(0,i).slice(0,i-1)),m=()=>{if(p){let b=R(this.movingMean.read(),l),w=R(this.movingVariance.read(),l),C=this.center?R(this.beta.read(),l):null,N=this.scale?R(this.gamma.read(),l):null;return Dh(o,b,w,C,N,this.epsilon)}else return Dh(o,this.movingMean.read(),this.movingVariance.read(),this.beta==null?null:this.beta.read(),this.gamma==null?null:this.gamma.read(),this.epsilon)};if(!n)return m();let[f,d,h]=rY(o,this.gamma.read(),this.beta.read(),a,this.epsilon),g=(b,w,C)=>{B(()=>{let N=1-C,_=b.read(),A=D(ct(_,w),N);b.write(ct(_,A))})};return(()=>{g(this.movingMean,d,this.momentum),g(this.movingVariance,h,this.momentum)})(),f})}getConfig(){let t={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:Te(this.betaInitializer),gammaInitializer:Te(this.gammaInitializer),movingMeanInitializer:Te(this.movingMeanInitializer),movingVarianceInitializer:Te(this.movingVarianceInitializer),betaRegularizer:me(this.betaRegularizer),gammaRegularizer:me(this.gammaRegularizer),betaConstraint:ze(this.betaConstraint),gammaConstraint:ze(this.gammaConstraint)},e=super.getConfig();return Object.assign(t,e),t}};_f.className="BatchNormalization";Q.registerClass(_f);var Af=class extends $t{constructor(t){if(t==null&&(t={}),super(t),this.axis=t.axis==null?-1:t.axis,typeof this.axis=="number"){if(!Number.isInteger(this.axis))throw new Error(`Expected axis to be an integer, but received ${this.axis}`)}else if(Array.isArray(this.axis)){for(let e of this.axis)if(!Number.isInteger(e))throw new Error(`Expected axis to be an array of integers, but received ${JSON.stringify(this.axis)}`)}else throw new Error(`Expected axis to be an integer or an array of integers, but received ${JSON.stringify(this.axis)}`);this.epsilon=t.epsilon==null?.001:t.epsilon,this.center=t.center==null?!0:t.center,this.scale=t.scale==null?!0:t.scale,this.betaInitializer=de(t.betaInitializer||"zeros"),this.gammaInitializer=de(t.gammaInitializer||"ones"),this.betaRegularizer=be(t.betaRegularizer),this.gammaRegularizer=be(t.gammaRegularizer),this.supportsMasking=!0}build(t){t=Bt(t);let e=t.length;typeof this.axis=="number"&&(this.axis=[this.axis]);for(let s=0;s=e)throw new Error(`Invalid axis: ${s}`);if(this.axis.length!==vo(this.axis).length)throw new Error(`Found duplicate axes in: ${this.axis}`);let n=this.axis.map(s=>t[s]),o=!0;this.scale?this.gamma=this.addWeight("gamma",n,"float32",this.gammaInitializer,this.gammaRegularizer,o):this.gamma=null,this.center?this.beta=this.addWeight("beta",n,"float32",this.betaInitializer,this.betaRegularizer,o):this.beta=null,this.built=!0}call(t,e){let n=Nt(t),o=n.shape,s=o.length;return B(()=>{let{mean:a,variance:u}=Zu(n,this.axis,!0),l=Io(1,s);for(let h of this.axis)l[h]=o[h];let c=h=>h!=null&&h.shape.length!==s?R(h,l):h,p=this.scale?c(this.gamma.read()):null,m=this.center?c(this.beta.read()):null,f=[],d=[];for(let h=0;h{if(r.rank!==4)throw new M(`temporalPadding expects input tensor to be 4-D, but received a ${r.rank}-D tensor.`);if(t==null&&(t=[[1,1],[1,1]]),t.length!==2||t[0].length!==2||t[1].length!==2)throw new M("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(e==null&&(e=mn()),e!=="channelsLast"&&e!=="channelsFirst")throw new M(`Unknown data format: ${e}. Supported data formats are 'channelsLast' and 'channelsFirst.`);let n;return e==="channelsFirst"?n=[[0,0],[0,0],t[0],t[1]]:n=[[0,0],t[0],t[1],[0,0]],cn(r,n)})}var $f=class extends $t{constructor(t){if(t==null&&(t={}),super(t),this.dataFormat=t.dataFormat==null?mn():t.dataFormat,t.padding==null)this.padding=[[1,1],[1,1]];else if(typeof t.padding=="number")this.padding=[[t.padding,t.padding],[t.padding,t.padding]];else{if(t.padding=t.padding,t.padding.length!==2)throw new M(`ZeroPadding2D expects padding to be a length-2 array, but received a length-${t.padding.length} array.`);let e,n;if(typeof t.padding[0]=="number")e=[t.padding[0],t.padding[0]],n=[t.padding[1],t.padding[1]];else{if(t.padding=t.padding,t.padding[0].length!==2)throw new M(`ZeroPadding2D expects height padding to be a length-2 array, but received a length-${t.padding[0].length} array.`);if(e=t.padding[0],t.padding[1].length!==2)throw new M(`ZeroPadding2D expects width padding to be a length-2 array, but received a length-${t.padding[1].length} array.`);n=t.padding[1]}this.padding=[e,n]}this.inputSpec=[new ye({ndim:4})]}computeOutputShape(t){t=Bt(t);let e,n;return this.dataFormat==="channelsFirst"?(t[2]!=null&&t[2]>=0?e=t[2]+this.padding[0][0]+this.padding[0][1]:e=null,t[3]!=null&&t[3]>=0?n=t[3]+this.padding[1][0]+this.padding[1][1]:n=null,[t[0],t[1],e,n]):(t[1]!=null&&t[1]>=0?e=t[1]+this.padding[0][0]+this.padding[0][1]:e=null,t[2]!=null&&t[2]>=0?n=t[2]+this.padding[1][0]+this.padding[1][1]:n=null,[t[0],e,n,t[3]])}call(t,e){return B(()=>nY(Nt(t),this.padding,this.dataFormat))}getConfig(){let t={padding:this.padding,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}};$f.className="ZeroPadding2D";Q.registerClass($f);function wb(r,t,e,n,o,s){return B(()=>{Fe(o),Iv(s),pn(n),e==null&&(e=[1,1]),n==null&&(n="valid"),o==null&&(o=mn()),s==null&&(s="max"),r=Ah(r,o);let i,a=n==="same"?"same":"valid";return s==="max"?i=ru(r,t,e,a):i=Yl(r,t,e,a),o==="channelsFirst"&&(i=Ot(i,[0,3,1,2])),i})}function CD(r,t,e,n,o,s){return B(()=>{Fe(o),Iv(s),pn(n),e==null&&(e=[1,1,1]),n==null&&(n="valid"),o==null&&(o=mn()),s==null&&(s="max"),r=zv(r,o);let i,a=n==="same"?"same":"valid";return s==="max"?i=Hx(r,t,e,a):i=gx(r,t,e,a),o==="channelsFirst"&&(i=Ot(i,[0,4,1,2,3])),i})}var hb=class extends $t{constructor(t){if(t.poolSize==null&&(t.poolSize=2),super(t),typeof t.poolSize=="number")this.poolSize=[t.poolSize];else if(Array.isArray(t.poolSize)&&t.poolSize.length===1&&typeof t.poolSize[0]=="number")this.poolSize=t.poolSize;else throw new M(`poolSize for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(t.poolSize)}`);if(Ze(this.poolSize,"poolSize"),t.strides==null)this.strides=this.poolSize;else if(typeof t.strides=="number")this.strides=[t.strides];else if(Array.isArray(t.strides)&&t.strides.length===1&&typeof t.strides[0]=="number")this.strides=t.strides;else throw new M(`strides for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(t.strides)}`);Ze(this.strides,"strides"),this.padding=t.padding==null?"valid":t.padding,pn(this.padding),this.inputSpec=[new ye({ndim:3})]}computeOutputShape(t){t=Bt(t);let e=Nn(t[1],this.poolSize[0],this.padding,this.strides[0]);return[t[0],e,t[2]]}call(t,e){return B(()=>{this.invokeCallHook(t,e),t=nl(Nt(t),2);let n=this.poolingFunction(Nt(t),[this.poolSize[0],1],[this.strides[0],1],this.padding,"channelsLast");return Mn(n,[2])})}getConfig(){let t={poolSize:this.poolSize,padding:this.padding,strides:this.strides},e=super.getConfig();return Object.assign(t,e),t}},Df=class extends hb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Fe(s),pn(o),wb(t,e,n,o,s,"max")}};Df.className="MaxPooling1D";Q.registerClass(Df);var Rf=class extends hb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Fe(s),pn(o),wb(t,e,n,o,s,"avg")}};Rf.className="AveragePooling1D";Q.registerClass(Rf);var gb=class extends $t{constructor(t){if(t.poolSize==null&&(t.poolSize=[2,2]),super(t),this.poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize],t.strides==null)this.strides=this.poolSize;else if(Array.isArray(t.strides)){if(t.strides.length!==2)throw new M(`If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length ${t.strides.length}.`);this.strides=t.strides}else this.strides=[t.strides,t.strides];Ze(this.poolSize,"poolSize"),Ze(this.strides,"strides"),this.padding=t.padding==null?"valid":t.padding,this.dataFormat=t.dataFormat==null?"channelsLast":t.dataFormat,Fe(this.dataFormat),pn(this.padding),this.inputSpec=[new ye({ndim:4})]}computeOutputShape(t){t=Bt(t);let e=this.dataFormat==="channelsFirst"?t[2]:t[1],n=this.dataFormat==="channelsFirst"?t[3]:t[2];return e=Nn(e,this.poolSize[0],this.padding,this.strides[0]),n=Nn(n,this.poolSize[1],this.padding,this.strides[1]),this.dataFormat==="channelsFirst"?[t[0],t[1],e,n]:[t[0],e,n,t[3]]}call(t,e){return B(()=>(this.invokeCallHook(t,e),this.poolingFunction(Nt(t),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}},Ff=class extends gb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Fe(s),pn(o),wb(t,e,n,o,s,"max")}};Ff.className="MaxPooling2D";Q.registerClass(Ff);var Of=class extends gb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Fe(s),pn(o),wb(t,e,n,o,s,"avg")}};Of.className="AveragePooling2D";Q.registerClass(Of);var xb=class extends $t{constructor(t){if(t.poolSize==null&&(t.poolSize=[2,2,2]),super(t),this.poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize,t.poolSize],t.strides==null)this.strides=this.poolSize;else if(Array.isArray(t.strides)){if(t.strides.length!==3)throw new M(`If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length ${t.strides.length}.`);this.strides=t.strides}else this.strides=[t.strides,t.strides,t.strides];Ze(this.poolSize,"poolSize"),Ze(this.strides,"strides"),this.padding=t.padding==null?"valid":t.padding,this.dataFormat=t.dataFormat==null?"channelsLast":t.dataFormat,Fe(this.dataFormat),pn(this.padding),this.inputSpec=[new ye({ndim:5})]}computeOutputShape(t){t=Bt(t);let e=this.dataFormat==="channelsFirst"?t[2]:t[1],n=this.dataFormat==="channelsFirst"?t[3]:t[2],o=this.dataFormat==="channelsFirst"?t[4]:t[3];return e=Nn(e,this.poolSize[0],this.padding,this.strides[0]),n=Nn(n,this.poolSize[1],this.padding,this.strides[1]),o=Nn(o,this.poolSize[2],this.padding,this.strides[2]),this.dataFormat==="channelsFirst"?[t[0],t[1],e,n,o]:[t[0],e,n,o,t[4]]}call(t,e){return B(()=>(this.invokeCallHook(t,e),this.poolingFunction(Nt(t),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}},Pf=class extends xb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Fe(s),pn(o),CD(t,e,n,o,s,"max")}};Pf.className="MaxPooling3D";Q.registerClass(Pf);var Lf=class extends xb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Fe(s),pn(o),CD(t,e,n,o,s,"avg")}};Lf.className="AveragePooling3D";Q.registerClass(Lf);var yb=class extends $t{constructor(t){super(t),this.inputSpec=[new ye({ndim:3})]}computeOutputShape(t){return[t[0],t[2]]}call(t,e){throw new St}},Mf=class extends yb{constructor(t){super(t||{})}call(t,e){return B(()=>{let n=Nt(t);return ve(n,1)})}};Mf.className="GlobalAveragePooling1D";Q.registerClass(Mf);var zf=class extends yb{constructor(t){super(t||{})}call(t,e){return B(()=>{let n=Nt(t);return Ir(n,1)})}};zf.className="GlobalMaxPooling1D";Q.registerClass(zf);var bb=class extends $t{constructor(t){super(t),this.dataFormat=t.dataFormat==null?"channelsLast":t.dataFormat,Fe(this.dataFormat),this.inputSpec=[new ye({ndim:4})]}computeOutputShape(t){return t=t,this.dataFormat==="channelsLast"?[t[0],t[3]]:[t[0],t[1]]}call(t,e){throw new St}getConfig(){let t={dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}},Bf=class extends bb{call(t,e){return B(()=>{let n=Nt(t);return this.dataFormat==="channelsLast"?ve(n,[1,2]):ve(n,[2,3])})}};Bf.className="GlobalAveragePooling2D";Q.registerClass(Bf);var Vf=class extends bb{call(t,e){return B(()=>{let n=Nt(t);return this.dataFormat==="channelsLast"?Ir(n,[1,2]):Ir(n,[2,3])})}};Vf.className="GlobalMaxPooling2D";Q.registerClass(Vf);var Cb=class extends $t{constructor(t){super(t),this.layer=t.layer}build(t){this.built=!0}get trainable(){return this.layer!=null?this.layer.trainable:!1}set trainable(t){this.layer!=null&&(this.layer.trainable=t)}get trainableWeights(){return this.layer.trainableWeights}get nonTrainableWeights(){return this.layer.nonTrainableWeights}get updates(){return this.layer._updates}get losses(){return this.layer.losses}getWeights(){return this.layer.getWeights()}setWeights(t){this.layer.setWeights(t)}getConfig(){let t={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},e=super.getConfig();return Object.assign(t,e),t}setFastWeightInitDuringBuild(t){super.setFastWeightInitDuringBuild(t),this.layer!=null&&this.layer.setFastWeightInitDuringBuild(t)}static fromConfig(t,e,n={}){let o=e.layer,s=gn(o,n);delete e.layer;let i={layer:s};return Object.assign(i,e),new t(i)}},Gf=class extends Cb{constructor(t){super(t),this.supportsMasking=!0}build(t){if(t=Bt(t),t.length<3)throw new M(`TimeDistributed layer expects an input shape >= 3D, but received input shape ${JSON.stringify(t)}`);this.inputSpec=[{shape:t}];let e=[t[0]].concat(t.slice(2));this.layer.built||(this.layer.build(e),this.layer.built=!0),super.build(t)}computeOutputShape(t){t=Bt(t);let e=[t[0]].concat(t.slice(2)),n=this.layer.computeOutputShape(e),o=t[1];return[n[0],o].concat(n.slice(1))}call(t,e){return B(()=>(t=Nt(t),Vv((i,a)=>[Nt(this.layer.call(i,e)),[]],t,[],!1,null,null,!1,!0)[1]))}};Gf.className="TimeDistributed";Q.registerClass(Gf);function oY(r){Wi(T$,"BidirectionalMergeMode",r)}var sY="concat",Wf=class extends Cb{constructor(t){super(t);let e=t.layer.getConfig(),n={};n.className=t.layer.getClassName(),n.config=e,this.forwardLayer=gn(n),e.goBackwards=e.goBackwards!==!0;let o={};if(o.className=t.layer.getClassName(),o.config=e,this.backwardLayer=gn(o),this.forwardLayer.name="forward_"+this.forwardLayer.name,this.backwardLayer.name="backward_"+this.backwardLayer.name,this.mergeMode=t.mergeMode===void 0?sY:t.mergeMode,oY(this.mergeMode),t.weights)throw new St("weights support is not implemented for Bidirectional layer yet.");this._stateful=t.layer.stateful,this.returnSequences=t.layer.returnSequences,this.returnState=t.layer.returnState,this.supportsMasking=!0,this._trainable=!0,this.inputSpec=t.layer.inputSpec,this.numConstants=null}get trainable(){return this._trainable}set trainable(t){this._trainable=t,this.forwardLayer!=null&&(this.forwardLayer.trainable=t),this.backwardLayer!=null&&(this.backwardLayer.trainable=t)}getWeights(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())}setWeights(t){let e=t.length,n=Math.floor(e/2);this.forwardLayer.setWeights(t.slice(0,n)),this.backwardLayer.setWeights(t.slice(n))}computeOutputShape(t){let e=this.forwardLayer.computeOutputShape(t);Array.isArray(e)&&Array.isArray(e[0])||(e=[e]),e=e;let n,o,s;return this.returnState&&(s=e.slice(1)),n=e[0],n=n,this.mergeMode==="concat"?(n[n.length-1]*=2,o=[n]):this.mergeMode==null?o=[n,n.slice()]:o=[n],this.returnState?this.mergeMode==null?o.concat(s).concat(s.slice()):[n].concat(s).concat(s.slice()):Nr(o)}apply(t,e){let n=e==null?null:e.initialState,o=e==null?null:e.constants;e==null&&(e={});let s=Bv(t,n,o,this.numConstants);if(t=s.inputs,n=s.initialState,o=s.constants,Array.isArray(t)&&(n=t.slice(1),t=t[0]),(n==null||n.length===0)&&o==null)return super.apply(t,e);let i=[],a=[];if(n!=null){let l=n.length;if(l%2>0)throw new M("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");e.initialState=n,i.push(...n);let c=n.map(p=>new ye({shape:p.shape}));this.forwardLayer.stateSpec=c.slice(0,l/2),this.backwardLayer.stateSpec=c.slice(l/2),a.push(...c)}if(o!=null)throw new St("Support for constants in Bidirectional layers is not implemented yet.");let u=i[0]instanceof Jr;for(let l of i)if(l instanceof Jr!==u)throw new M("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors");if(u){let l=[t].concat(i),c=this.inputSpec.concat(a),p=this.inputSpec;this.inputSpec=c;let m=super.apply(l,e);return this.inputSpec=p,m}else return super.apply(t,e)}call(t,e){return B(()=>{let n=e.initialState,o,s;if(n==null)o=this.forwardLayer.call(t,e),s=this.backwardLayer.call(t,e);else{let u=n.slice(0,n.length/2),l=n.slice(n.length/2);o=this.forwardLayer.call(t,Object.assign(e,{initialState:u})),s=this.backwardLayer.call(t,Object.assign(e,{initialState:l}))}let i;this.returnState&&(Array.isArray(o)&&(i=o.slice(1).concat(s.slice(1))),o=o[0],s=s[0]),this.returnSequences&&(s=pr(s,1));let a;return this.mergeMode==="concat"?a=Nm([o,s]):this.mergeMode==="sum"?a=X(o,s):this.mergeMode==="ave"?a=D(.5,X(o,s)):this.mergeMode==="mul"?a=D(o,s):this.mergeMode==null&&(a=[o,s]),this.returnState?this.mergeMode==null?a.concat(i):[a].concat(i):a})}resetStates(t){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()}build(t){Hs(this.forwardLayer.name,()=>{this.forwardLayer.build(t)}),Hs(this.backwardLayer.name,()=>{this.backwardLayer.build(t)}),this.built=!0}computeMask(t,e){Array.isArray(e)&&(e=e[0]);let n;if(this.returnSequences?this.mergeMode==null?n=[e,e]:n=e:this.mergeMode==null?n=[null,null]:n=null,this.returnState){let s=this.forwardLayer.states.map(i=>null);return Array.isArray(n)?n.concat(s).concat(s):[n].concat(s).concat(s)}else return n}get trainableWeights(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)}get nonTrainableWeights(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)}setFastWeightInitDuringBuild(t){super.setFastWeightInitDuringBuild(t),this.forwardLayer!=null&&this.forwardLayer.setFastWeightInitDuringBuild(t),this.backwardLayer!=null&&this.backwardLayer.setFastWeightInitDuringBuild(t)}getConfig(){let t={mergeMode:this.mergeMode},e=super.getConfig();return Object.assign(t,e),t}static fromConfig(t,e){let n=gn(e.layer);if(delete e.layer,e.numConstants!=null)throw new St("Deserialization of a Bidirectional layer with numConstants present is not supported yet.");let o=e;return o.layer=n,new t(o)}};Wf.className="Bidirectional";Q.registerClass(Wf);var Uf=class extends $t{constructor(t){super(t),this.scale=t.scale,t.offset?this.offset=t.offset:this.offset=0}getConfig(){let t={scale:this.scale,offset:this.offset},e=super.getConfig();return Object.assign(t,e),t}call(t,e){return B(()=>(t=Nt(t),t.dtype!=="float32"&&(t=no(t,"float32")),X(D(t,this.scale),this.offset)))}};Uf.className="Rescaling";Q.registerClass(Uf);var iY=["bilinear","nearest"],ID=new Set(iY),Hf=class extends $t{constructor(t){if(super(t),this.height=t.height,this.width=t.width,t.interpolation)if(ID.has(t.interpolation))this.interpolation=t.interpolation;else throw new M(`Invalid interpolation parameter: ${t.interpolation} is not implemented`);else this.interpolation="bilinear";this.cropToAspectRatio=Boolean(t.cropToAspectRatio)}computeOutputShape(t){t=Bt(t);let e=t[2];return[this.height,this.width,e]}getConfig(){let t={height:this.height,width:this.width,interpolation:this.interpolation,cropToAspectRatio:this.cropToAspectRatio},e=super.getConfig();return Object.assign(t,e),t}call(t,e){return B(()=>{let n=[this.height,this.width];if(this.interpolation==="bilinear")return Gs.resizeBilinear(t,n,!this.cropToAspectRatio);if(this.interpolation==="nearest")return Gs.resizeNearestNeighbor(t,n,!this.cropToAspectRatio);throw new Error(`Interpolation is ${this.interpolation} but only ${[...ID]} are supported`)})}};Hf.className="Resizing";Q.registerClass(Hf);function SD(r,t,e,n){let o=Nt(r);if(o.dtype!=="int32"&&(o=no(o,"int32")),t==="int")return o;let s=o.shape;if(o.rank===0&&(o=rr(o,-1)),t==="oneHot"&&o.shape[o.shape.length-1]!==1&&(o=rr(o,-1)),o.rank>2)throw new M(`When outputMode is not int, maximum output rank is 2 Received outputMode ${t} and input shape ${s} which would result in output rank ${o.rank}.`);let i=["multiHot","oneHot"].includes(t),a=o,u;if(typeof n!="undefined"&&t==="count"?u=ch(a,n,e,i):u=ch(a,[],e,i),t!=="tfIdf")return u;if(n)return D(u,n);throw new M("When outputMode is 'tfIdf', weights must be provided.")}var qf=class extends $t{constructor(t){super(t),this.numTokens=t.numTokens,t.outputMode?this.outputMode=t.outputMode:this.outputMode="multiHot"}getConfig(){let t={numTokens:this.numTokens,outputMode:this.outputMode},e=super.getConfig();return Object.assign(t,e),t}computeOutputShape(t){return t=Bt(t),t==null?[this.numTokens]:this.outputMode==="oneHot"&&t[t.length-1]!==1?(t.push(this.numTokens),t):(t[t.length-1]=this.numTokens,t)}call(t,e){return B(()=>{t=Nt(t),t.dtype!=="int32"&&(t=no(t,"int32"));let n;if(typeof e.countWeights!="undefined"){if(this.outputMode!=="count")throw new M(`countWeights is not used when outputMode !== count. + Received countWeights=${e.countWeights}`);n=Nt(e.countWeights)}let o=Ir(t),s=Ja(t),i=Re(this.numTokens,o).bufferSync().get(0),a=ln(s,0).bufferSync().get(0);if(!(i&&a))throw new M(`Input values must be between 0 < values <= numTokens with numTokens=${this.numTokens}`);return SD(t,this.outputMode,this.numTokens,n)})}};qf.className="CategoryEncoding";Q.registerClass(qf);function lY(r){return new Ks(r)}function uY(r){return new Ym(r)}function cY(r){return new Km(r)}function pY(r){return new jm(r)}function mY(r){return new Xm(r)}function fY(r){return new Jm(r)}function dY(r){return new Zm(r)}function hY(r){return new Su(r)}function gY(r){return new il(r)}function xY(r){return new Qm(r)}function yY(r){return new al(r)}function bY(r){return new tf(r)}function wY(r){return new ef(r)}function CY(r){return new rf(r)}function IY(r){return new nf(r)}function SY(r){return new of(r)}function vY(r){return new ff(r)}function NY(r){return new pf(r)}function TY(r){return new vc(r)}function kY(r){return new cf(r)}function EY(r){return new mf(r)}function _Y(r){return new df(r)}function AY(r){return new hf(r)}function $Y(r){return new gf(r)}function DY(r){return new yf(r)}function RY(r){return new bf(r)}function FY(r){return new Cf(r)}function OY(r){return new vf(r)}function PY(r){return new If(r)}function LY(r){return new Sf(r)}function MY(r){return new wf(r)}function zY(r){return new Nf(r)}function BY(r){return new _f(r)}function VY(r){return new Af(r)}function GY(r){return new $f(r)}function Gv(r){return new Rf(r)}function WY(r){return Gv(r)}function UY(r){return Gv(r)}function Wv(r){return new Of(r)}function HY(r){return Wv(r)}function qY(r){return Wv(r)}function Uv(r){return new Lf(r)}function KY(r){return Uv(r)}function jY(r){return Uv(r)}function XY(r){return new Mf(r)}function YY(r){return new Bf(r)}function vD(r){return new zf(r)}function ND(r){return new Vf(r)}function TD(r){return new Df(r)}function kD(r){return new Ff(r)}function ZY(r){return new Pf(r)}function JY(r){return new af(r)}function QY(r){return new Cc(r)}function tZ(r){return new lf(r)}function eZ(r){return new ul(r)}function rZ(r){return new sf(r)}function nZ(r){return new wc(r)}function oZ(r){return new uf(r)}function sZ(r){return new Sc(r)}function iZ(r){return new Tn(r)}function aZ(r){return new Ic(r)}function lZ(r){return new Wf(r)}function uZ(r){return new Gf(r)}var cZ=vD,pZ=ND,mZ=TD,fZ=kD;function dZ(r){return new Tf(r)}function hZ(r){return new kf(r)}function gZ(r){return new Ef(r)}function xZ(r){return new xf(r)}function yZ(r){return new Uf(r)}function bZ(r){return new Hf(r)}function wZ(r){return new qf(r)}var _D={};Wt(_D,{MAPE:()=>$Z,MSE:()=>FZ,binaryAccuracy:()=>CZ,binaryCrossentropy:()=>IZ,categoricalAccuracy:()=>vZ,categoricalCrossentropy:()=>NZ,cosineProximity:()=>EZ,mape:()=>DZ,meanAbsoluteError:()=>_Z,meanAbsolutePercentageError:()=>AZ,meanSquaredError:()=>RZ,mse:()=>OZ,precision:()=>TZ,recall:()=>kZ,sparseCategoricalAccuracy:()=>SZ});function CZ(r,t){return Th(r,t)}function IZ(r,t){return Wy(r,t)}function SZ(r,t){return Uy(r,t)}function vZ(r,t){return kh(r,t)}function NZ(r,t){return Eh(r,t)}function TZ(r,t){return Av(r,t)}function kZ(r,t){return J$(r,t)}function EZ(r,t){return Nh(r,t)}function _Z(r,t){return Vm(r,t)}function AZ(r,t){return bu(r,t)}function $Z(r,t){return bu(r,t)}function DZ(r,t){return bu(r,t)}function RZ(r,t){return Hi(r,t)}function FZ(r,t){return Hi(r,t)}function OZ(r,t){return Hi(r,t)}var AD={};Wt(AD,{modelFromJSON:()=>dD});var $D={};Wt($D,{l1:()=>LZ,l1l2:()=>PZ,l2:()=>MZ});function PZ(r){return new wu(r)}function LZ(r){return yD(r)}function MZ(r){return bD(r)}var Sb=class extends sl{constructor(){super(...arguments),this.model=null}setModel(t){if(!(t instanceof Bn))throw new Error("model must be a LayersModel, not some other Container");this.model=t}};function Ib(r,t){return rt}var vb=class extends Sb{constructor(t){if(super(),t==null&&(t={}),t.restoreBestWeights)throw new St("restoreBestWeights = True is not implemented in EarlyStopping yet.");this.monitor=t.monitor||"val_loss",this.minDelta=Math.abs(t.minDelta||0),this.patience=t.patience||0,this.verbose=t.verbose||0,this.mode=t.mode||"auto",this.baseline=t.baseline,["auto","min","max"].indexOf(this.mode)===-1&&(console.warn(`EarlyStopping mode '${this.mode}' is invalid. Falling back to mode 'auto'.`),this.mode="auto"),this.mode==="min"?this.monitorFunc=Ib:this.mode==="max"?this.monitorFunc=DD:this.monitor.indexOf("acc")!==-1?this.monitorFunc=DD:this.monitorFunc=Ib,this.monitorFunc===Ib&&(this.minDelta*=-1)}async onTrainBegin(t){this.wait=0,this.stoppedEpoch=0,this.baseline!=null?this.best=this.baseline:this.best=this.monitorFunc===Ib?1/0:-1/0}async onEpochEnd(t,e){await Ui(e);let n=this.getMonitorValue(e);n!=null&&(this.monitorFunc(n-this.minDelta,this.best)?(this.best=n,this.wait=0):(this.wait++,this.wait>=this.patience&&(this.stoppedEpoch=t,this.model.stopTraining=!0)))}async onTrainEnd(t){this.stoppedEpoch>0&&this.verbose&&console.log(`Epoch ${this.stoppedEpoch}: early stopping.`)}getMonitorValue(t){t==null&&(t={});let e=t[this.monitor];return e==null&&console.warn(`Metric for EarlyStopping ${this.monitor} is not available. Available metrics are: ${Object.keys(t)}`),e}};function zZ(r){return new vb(r)}var BZ={earlyStopping:zZ};var VZ=z();VZ.registerFlag("KEEP_INTERMEDIATE_TENSORS",()=>!1,r=>{r&&console.warn("Keep intermediate tensors is ON. This will print the values of all intermediate tensors during model inference. Not all models support this mode. For details, check e2e/benchmarks/ model_config.js. This significantly impacts performance.")});var oo;(function(r){r[r.DT_INVALID=0]="DT_INVALID",r[r.DT_FLOAT=1]="DT_FLOAT",r[r.DT_DOUBLE=2]="DT_DOUBLE",r[r.DT_INT32=3]="DT_INT32",r[r.DT_UINT8=4]="DT_UINT8",r[r.DT_INT16=5]="DT_INT16",r[r.DT_INT8=6]="DT_INT8",r[r.DT_STRING=7]="DT_STRING",r[r.DT_COMPLEX64=8]="DT_COMPLEX64",r[r.DT_INT64=9]="DT_INT64",r[r.DT_BOOL=10]="DT_BOOL",r[r.DT_QINT8=11]="DT_QINT8",r[r.DT_QUINT8=12]="DT_QUINT8",r[r.DT_QINT32=13]="DT_QINT32",r[r.DT_BFLOAT16=14]="DT_BFLOAT16",r[r.DT_QINT16=15]="DT_QINT16",r[r.DT_QUINT16=16]="DT_QUINT16",r[r.DT_UINT16=17]="DT_UINT16",r[r.DT_COMPLEX128=18]="DT_COMPLEX128",r[r.DT_HALF=19]="DT_HALF",r[r.DT_RESOURCE=20]="DT_RESOURCE",r[r.DT_VARIANT=21]="DT_VARIANT",r[r.DT_UINT32=22]="DT_UINT32",r[r.DT_UINT64=23]="DT_UINT64",r[r.DT_FLOAT_REF=101]="DT_FLOAT_REF",r[r.DT_DOUBLE_REF=102]="DT_DOUBLE_REF",r[r.DT_INT32_REF=103]="DT_INT32_REF",r[r.DT_UINT8_REF=104]="DT_UINT8_REF",r[r.DT_INT16_REF=105]="DT_INT16_REF",r[r.DT_INT8_REF=106]="DT_INT8_REF",r[r.DT_STRING_REF=107]="DT_STRING_REF",r[r.DT_COMPLEX64_REF=108]="DT_COMPLEX64_REF",r[r.DT_INT64_REF=109]="DT_INT64_REF",r[r.DT_BOOL_REF=110]="DT_BOOL_REF",r[r.DT_QINT8_REF=111]="DT_QINT8_REF",r[r.DT_QUINT8_REF=112]="DT_QUINT8_REF",r[r.DT_QINT32_REF=113]="DT_QINT32_REF",r[r.DT_BFLOAT16_REF=114]="DT_BFLOAT16_REF",r[r.DT_QINT16_REF=115]="DT_QINT16_REF",r[r.DT_QUINT16_REF=116]="DT_QUINT16_REF",r[r.DT_UINT16_REF=117]="DT_UINT16_REF",r[r.DT_COMPLEX128_REF=118]="DT_COMPLEX128_REF",r[r.DT_HALF_REF=119]="DT_HALF_REF",r[r.DT_RESOURCE_REF=120]="DT_RESOURCE_REF",r[r.DT_VARIANT_REF=121]="DT_VARIANT_REF",r[r.DT_UINT32_REF=122]="DT_UINT32_REF",r[r.DT_UINT64_REF=123]="DT_UINT64_REF"})(oo||(oo={}));var RD;(function(r){let t;(function(e){e[e.LEGACY=0]="LEGACY",e[e.V1=1]="V1",e[e.V2=2]="V2"})(t=r.CheckpointFormatVersion||(r.CheckpointFormatVersion={}))})(RD||(RD={}));var Hv={};function WZ(r,t){let e={tfOpName:r,category:"custom",inputs:[],attrs:[],customExecutor:t};Hv[r]=e}function Nb(r){return Hv[r]}function UZ(r){delete Hv[r]}function S(r,t,e,n,o){let s=t.inputParams[r];if(s&&s.inputIndexStart!==void 0){let a=s.inputIndexStart,u=s.inputIndexEnd===0?void 0:s.inputIndexEnd===void 0?a+1:s.inputIndexEnd;if(s.type==="tensor")return br(t.inputNames[s.inputIndexStart],e,n,o);if(s.type==="tensors")return t.inputNames.slice(a,u).map(m=>br(m,e,n,o));let l=br(t.inputNames.slice(a)[0],e,n,o),c=l.dataSync();return s.type==="number"?c[0]:y.toNestedArray(l.shape,c)}let i=t.attrParams[r];return i&&i.value}function br(r,t,e,n){let[o,s]=xn(r);if(n!=null){let a=n.getHashTableHandleByName(o);if(a!=null)return a}let i=e.currentContextIds.find(a=>!!t[Tb(o,a)]);return i!==void 0?t[Tb(o,i)][s]:void 0}function FD(r,t,e){return t[Tb(r,e.currentContextId)]}function _o(r,t){let[e,n,o]=xn(r);return[Tb(e,t&&t.currentContextId),n,o]}function Tb(r,t){return t?`${r}-${t}`:r}function xn(r){let t=r.split(":");if(t.length===1)return[r,0,void 0];let e=t[0],n=t.length===3?t[1]:void 0,o=Number(t[t.length-1]);return[e,o,n]}function Rh(r,t,e){let n=S("pad",r,t,e);if(n==="explicit"){n=S("explicitPaddings",r,t,e);let o=[[0,0],[0,0],[0,0],[0,0]];for(let s=0;s<4;s++)o[s][0]=n[s*2],o[s][1]=n[s*2+1];return o}return n}function Zs(r){return r.kept?r:sn(r)}var qv={};Wt(qv,{json:()=>HZ});var HZ=[{tfOpName:"Add",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddV2",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddN",category:"arithmetic",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"BiasAdd",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"Sub",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"RealDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Div",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"DivNoNan",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mul",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Maximum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Minimum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Pow",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SquaredDifference",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorMod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}];var Kv={};Wt(Kv,{json:()=>qZ});var qZ=[{tfOpName:"Abs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan2",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Ceil",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ClipByValue",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"clipValueMin",type:"number"},{start:2,name:"clipValueMax",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Complex",category:"basic_math",inputs:[{start:0,name:"real",type:"tensor"},{start:1,name:"imag",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ComplexAbs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Elu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Exp",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Floor",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Imag",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Neg",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Real",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Prelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"alpha",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu6",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Selu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sigmoid",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Rsqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Square",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sign",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Round",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Expm1",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log1p",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Reciprocal",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Softplus",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Erf",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Prod",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axes",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LeakyRelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"alpha",name:"alpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"IsNan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}];var jv={};Wt(jv,{json:()=>KZ});var KZ=[{tfOpName:"EmptyTensorList",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"maxNumElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"LoopCond",category:"control",inputs:[{start:0,name:"pred",type:"tensor"}]},{tfOpName:"Switch",category:"control",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"pred",type:"tensor"}]},{tfOpName:"Merge",category:"control",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"Enter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"frame_name",name:"frameName",type:"string"},{tfName:"is_constant",name:"isConstant",type:"bool"}]},{tfOpName:"Exit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NextIteration",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayV3",category:"control",inputs:[{start:0,name:"size",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"dynamic_size",name:"dynamicSize",type:"bool"},{tfName:"clear_after_read",name:"clearAfterRead",type:"bool"},{tfName:"identical_element_shapes",name:"identicalElementShapes",type:"bool"},{tfName:"tensor_array_name",name:"name",type:"string"}]},{tfOpName:"TensorArrayWriteV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayReadV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayGatherV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"}]},{tfOpName:"TensorArrayScatterV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArrayConcatV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape_except0",name:"elementShapeExcept0",type:"shape",notSupported:!0}]},{tfOpName:"TensorArraySplitV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"tensor",type:"tensor"},{start:2,name:"lengths",type:"number[]"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArraySizeV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}]},{tfOpName:"TensorArrayCloseV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"}]},{tfOpName:"StatelessIf",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"If",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"StatelessWhile",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"While",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"TensorListScatter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListScatterV2",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"},{start:3,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGather",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListSetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListReserve",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListFromTensor",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListStack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"},{tfName:"num_elements",name:"numElements",type:"dtype"}]},{tfOpName:"TensorListSplit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"},{start:2,name:"lengths",type:"number[]"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcat",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcatV2",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPopBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPushBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListLength",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}]},{tfOpName:"TensorListResize",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"size",type:"number"}]}];var Xv={};Wt(Xv,{json:()=>jZ});var jZ=[{tfOpName:"AvgPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[],notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPoolWithArgmax",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"include_batch_in_index",name:"includeBatchInIndex",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AvgPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Conv1D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"stride",name:"stride",type:"number"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NWC"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"dilation",name:"dilation",type:"number",defaultValue:1}]},{tfOpName:"Conv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"useCudnnOnGpu",name:"useCudnnOnGpu",type:"bool"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"_FusedConv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"use_cudnn_on_gpu",name:"useCudnnOnGpu",type:"bool",defaultValue:!0},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2}]},{tfOpName:"Conv2DBackpropInput",category:"convolution",inputs:[{start:2,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:0,name:"outputShape",type:"number[]"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]",notSupported:!0}]},{tfOpName:"DepthwiseConv2d",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"DepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"FusedDepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]}]},{tfOpName:"Conv3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"Dilation2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"rates",name:"dilations",type:"number[]"},{tfName:"padding",name:"pad",type:"string"}]}];var Yv={};Wt(Yv,{json:()=>XZ});var XZ=[{tfOpName:"Fill",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"},{start:1,name:"value",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"LinSpace",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"num",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"OneHot",category:"creation",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"depth",type:"number"},{start:2,name:"onValue",type:"number",defaultValue:1},{start:3,name:"offValue",type:"number",defaultValue:0}],attrs:[{tfName:"axis",name:"axis",type:"number",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Ones",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"OnesLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"RandomStandardNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"RandomUniform",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"minval",name:"minval",type:"number",defaultValue:0},{tfName:"maxval",name:"maxval",type:"number",defaultValue:1},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Range",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"step",type:"number",defaultValue:0}],attrs:[{tfName:"Tidx",name:"dtype",type:"dtype"}]},{tfOpName:"TruncatedNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"means",name:"mean",type:"number",defaultValue:0},{tfName:"stddev",name:"stdDev",type:"number",defaultValue:1},{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Zeros",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"ZerosLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Multinomial",category:"creation",inputs:[{start:0,name:"logits",type:"tensor"},{start:1,name:"numSamples",type:"number"}],attrs:[{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number"},{tfName:"T",name:"dtype",type:"dtype"},{tfName:"output_dtype",name:"output_dtype",type:"dtype"}]}];var Zv={};Wt(Zv,{json:()=>YZ});var YZ=[{tfOpName:"NonMaxSuppressionV2",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV3",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV4",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"T_threshold",name:"threshold",type:"dtype",notSupported:!0},{tfName:"pad_to_max_output_size",name:"padToMaxOutputSize",type:"bool"}]},{tfOpName:"NonMaxSuppressionV5",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"},{start:5,name:"softNmsSigma",type:"number"}]},{tfOpName:"Where",category:"dynamic",inputs:[{start:0,name:"condition",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ListDiff",category:"dynamic",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}];var Jv={};Wt(Jv,{json:()=>ZZ});var ZZ=[{tfOpName:"LowerBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"TopKV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"k",type:"number"}],attrs:[{tfName:"sorted",name:"sorted",type:"bool"}]},{tfOpName:"UpperBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"Unique",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"UniqueV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]}];var Qv={};Wt(Qv,{json:()=>JZ});var JZ=[{tfOpName:"PlaceholderWithDefault",category:"graph",inputs:[{start:0,name:"default",type:"tensor"}],attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Placeholder",category:"graph",attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Const",category:"graph"},{tfOpName:"Identity",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IdentityN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Snapshot",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Rank",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Size",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Shape",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"ShapeN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Print",category:"graph",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"data",type:"tensors"}],attrs:[{tfName:"message",name:"message",type:"string"},{tfName:"first_n",name:"firstN",type:"number",notSupported:!0},{tfName:"summarize",name:"summarize",type:"number",defaultValue:3}]},{tfOpName:"NoOp",category:"graph",inputs:[]},{tfOpName:"StopGradient",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"FakeQuantWithMinMaxVars",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"min",name:"min",type:"number"},{tfName:"max",name:"max",type:"number"}]}];var tN={};Wt(tN,{json:()=>QZ});var QZ=[{tfOpName:"HashTable",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"HashTableV2",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"LookupTableImport",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableImportV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFind",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFindV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableSize",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]},{tfOpName:"LookupTableSizeV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]}];var eN={};Wt(eN,{json:()=>t7});var t7=[{tfOpName:"ResizeBilinear",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ResizeNearestNeighbor",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"CropAndResize",category:"image",inputs:[{start:0,name:"image",type:"tensor"},{start:1,name:"boxes",type:"tensor"},{start:2,name:"boxInd",type:"tensor"},{start:3,name:"cropSize",type:"number[]"}],attrs:[{tfName:"method",name:"method",type:"string"},{tfName:"extrapolation_value",name:"extrapolationValue",type:"number"}]},{tfOpName:"ImageProjectiveTransformV3",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"transforms",type:"tensor"},{start:2,name:"outputShape",type:"number[]"},{start:3,name:"fillValue",type:"number"}],attrs:[{tfName:"interpolation",name:"interpolation",type:"string"},{tfName:"fill_mode",name:"fillMode",type:"string"}]}];var rN={};Wt(rN,{json:()=>e7});var e7=[{tfOpName:"Equal",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NotEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Greater",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"GreaterEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Less",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LessEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalAnd",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalNot",category:"logical",inputs:[{start:0,name:"a",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalOr",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Select",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SelectV2",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}];var nN={};Wt(nN,{json:()=>r7});var r7=[{tfOpName:"_FusedMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMulV2",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Transpose",category:"matrices",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"perm",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Einsum",category:"matrices",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"equation",name:"equation",type:"string"},{tfName:"N",name:"n",type:"number",defaultValue:2},{tfName:"T",name:"dtype",type:"dtype"}]}];var oN={};Wt(oN,{json:()=>n7});var n7=[{tfOpName:"EuclideanNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",defaultValue:!1}]},{tfOpName:"FusedBatchNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV2",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV3",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"LRN",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"depth_radius",name:"radius",type:"number",defaultValue:5},{tfName:"bias",name:"bias",type:"number",defaultValue:1},{tfName:"alpha",name:"alpha",type:"number",defaultValue:1},{tfName:"beta",name:"beta",type:"number",defaultValue:.5}]},{tfOpName:"Softmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"LogSoftmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"SparseToDense",category:"normalization",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!0,notSupported:!0}]}];var sN={};Wt(sN,{json:()=>o7});var o7=[{tfOpName:"Bincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}]},{tfOpName:"DenseBincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}],attrs:[{tfName:"binary_output",name:"binaryOutput",type:"bool"}]},{tfOpName:"Max",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Mean",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Min",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Sum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"All",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Any",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"ArgMax",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"ArgMin",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"Prod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Cumprod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]},{tfOpName:"Cumsum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]}];var iN={};Wt(iN,{json:()=>s7});var s7=[{tfOpName:"ConcatV2",category:"slice_join",inputs:[{start:0,end:-1,name:"tensors",type:"tensors"},{start:-1,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"Concat",category:"slice_join",inputs:[{start:1,end:0,name:"tensors",type:"tensors"},{start:0,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"GatherV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"axis",type:"number",defaultValue:0}],attrs:[{tfName:"batch_dims",name:"batchDims",type:"number",defaultValue:0}]},{tfOpName:"Gather",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",notSupported:!0}]},{tfOpName:"Reverse",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"dims",type:"bool[]"}]},{tfOpName:"ReverseV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}]},{tfOpName:"Slice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"size",type:"number[]"}]},{tfOpName:"StridedSlice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"end",type:"number[]"},{start:3,name:"strides",type:"number[]"}],attrs:[{tfName:"begin_mask",name:"beginMask",type:"number",defaultValue:0},{tfName:"end_mask",name:"endMask",type:"number",defaultValue:0},{tfName:"new_axis_mask",name:"newAxisMask",type:"number",defaultValue:0},{tfName:"ellipsis_mask",name:"ellipsisMask",type:"number",defaultValue:0},{tfName:"shrink_axis_mask",name:"shrinkAxisMask",type:"number",defaultValue:0}]},{tfOpName:"Pack",category:"slice_join",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0}]},{tfOpName:"Unpack",category:"slice_join",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0},{tfName:"num",name:"num",type:"number",defaultValue:0,notSupported:!0}]},{tfOpName:"Tile",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"reps",type:"number[]"}]},{tfOpName:"Split",category:"slice_join",inputs:[{start:0,name:"axis",type:"number",defaultValue:0},{start:1,name:"x",type:"tensor"}],attrs:[{tfName:"num_split",name:"numOrSizeSplits",type:"number",defaultValue:1}]},{tfOpName:"SplitV",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"numOrSizeSplits",type:"number[]"},{start:2,name:"axis",type:"number",defaultValue:0}]},{tfOpName:"ScatterNd",category:"slice_join",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"shape",type:"number[]"}]},{tfOpName:"GatherNd",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}]},{tfOpName:"SparseToDense",category:"slice_join",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!1,notSupported:!0}]}];var aN={};Wt(aN,{json:()=>i7});var i7=[{tfOpName:"SparseFillEmptyRows",category:"sparse",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"denseShape",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}]},{tfOpName:"SparseReshape",category:"sparse",inputs:[{start:0,name:"inputIndices",type:"tensor"},{start:1,name:"inputShape",type:"tensor"},{start:2,name:"newShape",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SparseSegmentMean",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]},{tfOpName:"SparseSegmentSum",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]}];var lN={};Wt(lN,{json:()=>a7});var a7=[{tfOpName:"FFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"RFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]},{tfOpName:"IRFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]}];var uN={};Wt(uN,{json:()=>l7});var l7=[{tfOpName:"StringNGrams",category:"string",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"dataSplits",type:"tensor"}],attrs:[{tfName:"separator",name:"separator",type:"string"},{tfName:"ngram_widths",name:"nGramWidths",type:"number[]"},{tfName:"left_pad",name:"leftPad",type:"string"},{tfName:"right_pad",name:"rightPad",type:"string"},{tfName:"pad_width",name:"padWidth",type:"number"},{tfName:"preserve_short_sequences",name:"preserveShortSequences",type:"bool"}],outputs:["ngrams","ngrams_splits"]},{tfOpName:"StringSplit",category:"string",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"delimiter",type:"tensor"}],attrs:[{tfName:"skip_empty",name:"skipEmpty",type:"bool"}],outputs:["indices","values","shape"]},{tfOpName:"StringToHashBucketFast",category:"string",inputs:[{start:0,name:"input",type:"tensor"}],attrs:[{tfName:"num_buckets",name:"numBuckets",type:"number"}]}];var cN={};Wt(cN,{json:()=>u7});var u7=[{tfOpName:"Cast",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"SrcT",name:"sdtype",type:"dtype",notSupported:!0},{tfName:"DstT",name:"dtype",type:"dtype"}]},{tfOpName:"ExpandDims",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"MirrorPad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"mode",name:"mode",type:"string"}]},{tfOpName:"Pad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"constant_value",name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"PadV2",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"},{start:2,name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"Reshape",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}]},{tfOpName:"Squeeze",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"axis",tfDeprecatedName:"squeeze_dims",name:"axis",type:"number[]"}]},{tfOpName:"SpaceToBatchND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"paddings",type:"number[]"}]},{tfOpName:"BatchToSpaceND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"crops",type:"number[]"}]},{tfOpName:"DepthToSpace",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"block_size",name:"blockSize",type:"number"},{tfName:"data_format",name:"dataFormat",type:"string"}]},{tfOpName:"BroadcastTo",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}],attrs:[]},{tfOpName:"BroadcastArgs",category:"transformation",inputs:[{start:0,name:"s0",type:"tensor"},{start:1,name:"s1",type:"tensor"}],attrs:[]}];var Fh=class{constructor(){let t=[qv,Kv,jv,Xv,Yv,Zv,Jv,Qv,tN,eN,rN,nN,oN,sN,iN,aN,lN,uN,cN],e=[].concat(...t.map(n=>n.json));this.opMappers=e.reduce((n,o)=>(n[o.tfOpName]=o,n),{})}static get Instance(){return this._instance||(this._instance=new this)}transformGraph(t,e={}){let n=t.node,o=[],s=[],i=[],a=n.reduce((h,g)=>(h[g.name]=this.mapNode(g),g.op.startsWith("Placeholder")?o.push(h[g.name]):g.op==="Const"?s.push(h[g.name]):(g.input==null||g.input.length===0)&&i.push(h[g.name]),h),{}),u=[],l=[],c={},p={};e!=null&&(c=this.mapSignatureEntries(e.inputs),p=this.mapSignatureEntries(e.outputs));let m=Object.keys(a);m.forEach(h=>{let g=a[h];g.inputNames.forEach((x,b)=>{let[w,,C]=_o(x),N=a[w];if(N.outputs!=null){let _=N.outputs.indexOf(C);if(_!==-1){let A=`${w}:${_}`;g.inputNames[b]=A}}g.inputs.push(N),N.children.push(g)})}),Object.keys(p).length===0?m.forEach(h=>{let g=a[h];g.children.length===0&&l.push(g)}):Object.keys(p).forEach(h=>{let[g]=_o(h),x=a[g];x!=null&&(x.signatureKey=p[h],l.push(x))}),Object.keys(c).length>0?Object.keys(c).forEach(h=>{let[g]=_o(h),x=a[g];x&&(x.signatureKey=c[h],u.push(x))}):u=o;let f={};t.library!=null&&t.library.function!=null&&(f=t.library.function.reduce((h,g)=>(h[g.signature.name]=this.mapFunction(g),h),{}));let d={nodes:a,inputs:u,outputs:l,weights:s,placeholders:o,signature:e,functions:f};return i.length>0&&(d.initNodes=i),d}mapSignatureEntries(t){return Object.keys(t||{}).reduce((e,n)=>(e[t[n].name]=n,e),{})}mapNode(t){let e=Nb(t.op)||this.opMappers[t.op]||{};t.attr==null&&(t.attr={});let n={name:t.name,op:t.op,category:e.category,inputNames:(t.input||[]).map(o=>o.startsWith("^")?o.slice(1):o),inputs:[],children:[],inputParams:{},attrParams:{},rawAttrs:t.attr,outputs:e.outputs};return e.inputs!=null&&(n.inputParams=e.inputs.reduce((o,s)=>(o[s.name]={type:s.type,inputIndexStart:s.start,inputIndexEnd:s.end},o),{})),e.attrs!=null&&(n.attrParams=e.attrs.reduce((o,s)=>{let i=s.type,a;switch(s.type){case"string":a=kb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=kb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"string[]":a=Fb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Fb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"number":a=_b(t.attr,s.tfName,s.defaultValue||0),a===void 0&&!!s.tfDeprecatedName&&(a=_b(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"number[]":a=Rb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Rb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"bool":a=Eb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Eb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"bool[]":a=Pb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Pb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"shape":a=Db(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Db(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"shape[]":a=Ob(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Ob(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"dtype":a=Ab(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Ab(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"dtype[]":a=$b(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=$b(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"func":a=OD(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=OD(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"tensor":case"tensors":break;default:throw new Error(`Unsupported param type: ${s.type} for op: ${t.op}`)}return o[s.name]={value:a,type:i},o},{})),n}mapFunction(t){let e=t.nodeDef,n=[],o=[],s={};e!=null&&(s=e.reduce((p,m)=>(p[m.name]=this.mapNode(m),m.op==="Const"&&o.push(p[m.name]),p),{}));let i=[],a=[];t.signature.inputArg.forEach(p=>{let[m]=_o(p.name),f={name:m,op:"Placeholder",inputs:[],inputNames:[],category:"graph",inputParams:{},attrParams:{dtype:{value:pN(p.type),type:"dtype"}},children:[]};f.signatureKey=p.name,i.push(f),s[m]=f}),Object.keys(s).forEach(p=>{let m=s[p];m.inputNames.forEach((f,d)=>{let[h,,g]=_o(f),x=s[h];if(x.outputs!=null){let b=x.outputs.indexOf(g);if(b!==-1){let w=`${h}:${b}`;m.inputNames[d]=w}}m.inputs.push(x),x.children.push(m)})});let l=t.ret;t.signature.outputArg.forEach(p=>{let[m,f]=_o(l[p.name]),d=s[m];d!=null&&(d.defaultOutput=f,a.push(d))});let c=this.mapArgsToSignature(t);return{nodes:s,inputs:i,outputs:a,weights:o,placeholders:n,signature:c}}mapArgsToSignature(t){return{methodName:t.signature.name,inputs:t.signature.inputArg.reduce((e,n)=>(e[n.name]=this.mapArgToTensorInfo(n),e),{}),outputs:t.signature.outputArg.reduce((e,n)=>(e[n.name]=this.mapArgToTensorInfo(n,t.ret),e),{})}}mapArgToTensorInfo(t,e){let n=t.name;return e!=null&&(n=e[n]),{name:n,dtype:t.type}}};function c7(r){let t=z().global;if(typeof t.atob!="undefined")return t.atob(r);if(typeof Buffer!="undefined")return new Buffer(r,"base64").toString();throw new Error("Unable to decode base64 in this environment. Missing built-in atob() or Buffer()")}function PD(r,t){let e=Array.isArray(r)?String.fromCharCode.apply(null,r):c7(r);return t?e:e.toLowerCase()}function kb(r,t,e,n=!1){let o=r[t];return o!=null?PD(o.s,n):e}function Eb(r,t,e){let n=r[t];return n?n.b:e}function _b(r,t,e){let n=r[t]||{},o=n.i!=null?n.i:n.f!=null?n.f:e;return typeof o=="number"?o:parseInt(o,10)}function pN(r){switch(typeof r=="string"&&(r=oo[r]),r){case oo.DT_FLOAT:case oo.DT_HALF:return"float32";case oo.DT_INT32:case oo.DT_INT64:case oo.DT_INT8:case oo.DT_UINT8:return"int32";case oo.DT_BOOL:return"bool";case oo.DT_DOUBLE:return"float32";case oo.DT_STRING:return"string";default:return null}}function OD(r,t,e){let n=r[t];return n&&n.func?n.func.name:e}function Ab(r,t,e){let n=r[t];return n&&n.type?pN(n.type):e}function $b(r,t,e){let n=r[t];return n&&n.list&&n.list.type?n.list.type.map(o=>pN(o)):e}function LD(r){if(!r.unknownRank)return r.dim!=null?r.dim.map(t=>typeof t.size=="number"?t.size:parseInt(t.size,10)):[]}function Db(r,t,e){let n=r[t];return n&&n.shape?LD(n.shape):e}function Rb(r,t,e){let n=r[t];return n?((n.list.f&&n.list.f.length?n.list.f:n.list.i)||[]).map(o=>typeof o=="number"?o:parseInt(o,10)):e}function Fb(r,t,e,n=!1){let o=r[t];return o&&o.list&&o.list.s?o.list.s.map(s=>PD(s,n)):e}function Ob(r,t,e){let n=r[t];return n&&n.list&&n.list.shape?n.list.shape.map(o=>LD(o)):e}function Pb(r,t,e){let n=r[t];return n&&n.list&&n.list.b?n.list.b:e}var Lb=class{constructor(t,e,n){this.node=t,this.tensorMap=e,this.context=n,this.inputs=[],this.attrs={},this.inputs=t.inputNames.map(o=>this.getInput(o)),t.rawAttrs!=null&&(this.attrs=Object.keys(t.rawAttrs).reduce((o,s)=>(o[s]=this.getAttr(s),o),{}))}getInput(t){return br(t,this.tensorMap,this.context)}getAttr(t,e){let n=this.node.rawAttrs[t];if(n.tensor!=null)return br(t,this.tensorMap,this.context);if(n.i!=null||n.f!=null)return _b(this.node.rawAttrs,t,e);if(n.s!=null)return kb(this.node.rawAttrs,t,e);if(n.b!=null)return Eb(this.node.rawAttrs,t,e);if(n.shape!=null)return Db(this.node.rawAttrs,t,e);if(n.type!=null)return Ab(this.node.rawAttrs,t,e);if(n.list!=null){if(n.list.i!=null||n.list.f!=null)return Rb(this.node.rawAttrs,t,e);if(n.list.s!=null)return Fb(this.node.rawAttrs,t,e);if(n.list.shape!=null)return Ob(this.node.rawAttrs,t,e);if(n.list.b!=null)return Pb(this.node.rawAttrs,t,e);if(n.list.type!=null)return $b(this.node.rawAttrs,t,e)}return e}};var ae={};Wt(ae,{OP_SCOPE_SUFFIX:()=>k0,abs:()=>Ee,acos:()=>ax,acosh:()=>lx,add:()=>X,addN:()=>LE,all:()=>Zp,any:()=>qu,argMax:()=>Ai,argMin:()=>ux,asin:()=>cx,asinh:()=>px,atan:()=>mx,atan2:()=>fx,atanh:()=>dx,avgPool:()=>Yl,avgPool3d:()=>gx,basicLSTMCell:()=>BE,batchNorm:()=>Di,batchNorm2d:()=>xx,batchNorm3d:()=>yx,batchNorm4d:()=>bx,batchToSpaceND:()=>Zl,bincount:()=>wx,booleanMaskAsync:()=>r6,broadcastArgs:()=>GE,broadcastTo:()=>Ri,buffer:()=>wt,cast:()=>J,ceil:()=>Cx,clipByValue:()=>Cr,clone:()=>sn,complex:()=>wn,concat:()=>ne,concat1d:()=>Ix,concat2d:()=>Sx,concat3d:()=>vx,concat4d:()=>Nx,conv1d:()=>Qp,conv2d:()=>In,conv2dTranspose:()=>em,conv3d:()=>Tx,conv3dTranspose:()=>Ex,cos:()=>Jl,cosh:()=>rm,cosineWindow:()=>hh,cumprod:()=>Xu,cumsum:()=>nm,denseBincount:()=>ch,depthToSpace:()=>_x,depthwiseConv2d:()=>Fi,diag:()=>WE,dilation2d:()=>Ax,div:()=>pt,divNoNan:()=>$x,dot:()=>Dx,dropout:()=>lv,einsum:()=>UE,elu:()=>Oi,enclosingPowerOfTwo:()=>uv,equal:()=>$r,erf:()=>Rx,euclideanNorm:()=>Fx,exp:()=>er,expandDims:()=>rr,expm1:()=>Ox,eye:()=>Yu,fft:()=>au,fill:()=>xo,floor:()=>Pi,floorDiv:()=>Yp,fused:()=>uu,gather:()=>Li,gatherND:()=>p6,greater:()=>Re,greaterEqual:()=>ln,ifft:()=>tl,imag:()=>Xl,image:()=>Gs,inTopKAsync:()=>d6,irfft:()=>xm,isFinite:()=>Px,isInf:()=>Lx,isNaN:()=>Mx,leakyRelu:()=>Ql,less:()=>om,lessEqual:()=>Ln,linalg:()=>pv,linspace:()=>KE,localResponseNormalization:()=>zx,log:()=>Sr,log1p:()=>tu,logSigmoid:()=>Gx,logSoftmax:()=>sm,logSumExp:()=>im,logicalAnd:()=>Rr,logicalNot:()=>eu,logicalOr:()=>am,logicalXor:()=>Wx,losses:()=>dX,lowerBound:()=>jE,matMul:()=>Lt,max:()=>Ir,maxPool:()=>ru,maxPool3d:()=>Hx,maxPoolWithArgmax:()=>XE,maximum:()=>Sn,mean:()=>ve,meshgrid:()=>YE,min:()=>Ja,minimum:()=>Mi,mirrorPad:()=>qx,mod:()=>Kx,moments:()=>Zu,movingAverage:()=>o6,mul:()=>D,multiRNNCell:()=>ZE,multinomial:()=>JE,neg:()=>Ht,norm:()=>Qa,notEqual:()=>Bs,oneHot:()=>Ei,ones:()=>cr,onesLike:()=>yr,op:()=>T,outerProduct:()=>QE,pad:()=>cn,pad1d:()=>t_,pad2d:()=>e_,pad3d:()=>r_,pad4d:()=>n_,pool:()=>jx,pow:()=>an,prelu:()=>ou,print:()=>Jg,prod:()=>Xx,raggedGather:()=>o_,raggedRange:()=>s_,raggedTensorToTensor:()=>i_,rand:()=>a_,randomGamma:()=>v_,randomNormal:()=>tc,randomStandardNormal:()=>N_,randomUniform:()=>zi,range:()=>su,real:()=>Za,reciprocal:()=>ty,relu:()=>Fr,relu6:()=>lm,reshape:()=>R,reverse:()=>pr,reverse1d:()=>T_,reverse2d:()=>k_,reverse3d:()=>E_,reverse4d:()=>__,rfft:()=>lu,round:()=>um,rsqrt:()=>cm,scalar:()=>mt,scatterND:()=>i6,searchSorted:()=>mh,selu:()=>pm,separableConv2d:()=>mm,setdiff1dAsync:()=>A_,sigmoid:()=>Yr,sign:()=>ey,signal:()=>fX,sin:()=>fm,sinh:()=>dm,slice:()=>Rt,slice1d:()=>hm,slice2d:()=>dh,slice3d:()=>gm,slice4d:()=>ec,softmax:()=>iu,softplus:()=>zs,spaceToBatchND:()=>nu,sparse:()=>hX,sparseToDense:()=>u6,spectral:()=>mX,split:()=>mr,sqrt:()=>Se,square:()=>Mt,squaredDifference:()=>ym,squeeze:()=>Mn,stack:()=>nr,step:()=>bo,stridedSlice:()=>ry,string:()=>gX,sub:()=>ct,sum:()=>ft,tan:()=>ny,tanh:()=>$i,tensor:()=>ur,tensor1d:()=>Me,tensor2d:()=>Vs,tensor3d:()=>rx,tensor4d:()=>$_,tensor5d:()=>D_,tensor6d:()=>R_,tile:()=>Dr,topk:()=>oy,transpose:()=>Ot,truncatedNormal:()=>bm,unique:()=>sy,unsortedSegmentSum:()=>wm,unstack:()=>vr,upperBound:()=>F_,variable:()=>iy,where:()=>_e,whereAsync:()=>ly,zeros:()=>Ne,zerosLike:()=>It});var MD=(r,t,e,n=ae)=>{switch(r.op){case"BiasAdd":case"AddV2":case"Add":return[n.add(S("a",r,t,e),S("b",r,t,e))];case"AddN":return[n.addN(S("tensors",r,t,e))];case"FloorMod":case"Mod":return[n.mod(S("a",r,t,e),S("b",r,t,e))];case"Mul":return[n.mul(S("a",r,t,e),S("b",r,t,e))];case"RealDiv":case"Div":return[n.div(S("a",r,t,e),S("b",r,t,e))];case"DivNoNan":return[n.divNoNan(S("a",r,t,e),S("b",r,t,e))];case"FloorDiv":return[n.floorDiv(S("a",r,t,e),S("b",r,t,e))];case"Sub":return[n.sub(S("a",r,t,e),S("b",r,t,e))];case"Minimum":return[n.minimum(S("a",r,t,e),S("b",r,t,e))];case"Maximum":return[n.maximum(S("a",r,t,e),S("b",r,t,e))];case"Pow":return[n.pow(S("a",r,t,e),S("b",r,t,e))];case"SquaredDifference":return[n.squaredDifference(S("a",r,t,e),S("b",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var zD=(r,t,e,n=ae)=>{switch(r.op){case"Abs":case"ComplexAbs":return[n.abs(S("x",r,t,e))];case"Acos":return[n.acos(S("x",r,t,e))];case"Acosh":return[n.acosh(S("x",r,t,e))];case"Asin":return[n.asin(S("x",r,t,e))];case"Asinh":return[n.asinh(S("x",r,t,e))];case"Atan":return[n.atan(S("x",r,t,e))];case"Atan2":return[n.atan2(S("x",r,t,e),S("y",r,t,e))];case"Atanh":return[n.atanh(S("x",r,t,e))];case"Ceil":return[n.ceil(S("x",r,t,e))];case"Complex":return[n.complex(S("real",r,t,e),S("imag",r,t,e))];case"Cos":return[n.cos(S("x",r,t,e))];case"Cosh":return[n.cosh(S("x",r,t,e))];case"Elu":return[n.elu(S("x",r,t,e))];case"Erf":return[n.erf(S("x",r,t,e))];case"Exp":return[n.exp(S("x",r,t,e))];case"Expm1":return[n.expm1(S("x",r,t,e))];case"Floor":return[n.floor(S("x",r,t,e))];case"Log":return[n.log(S("x",r,t,e))];case"Log1p":return[n.log1p(S("x",r,t,e))];case"Imag":return[n.imag(S("x",r,t,e))];case"Neg":return[n.neg(S("x",r,t,e))];case"Reciprocal":return[n.reciprocal(S("x",r,t,e))];case"Real":return[n.real(S("x",r,t,e))];case"Relu":return[n.relu(S("x",r,t,e))];case"Round":return[n.round(S("x",r,t,e))];case"Selu":return[n.selu(S("x",r,t,e))];case"Sigmoid":return[n.sigmoid(S("x",r,t,e))];case"Sin":return[n.sin(S("x",r,t,e))];case"Sign":return[n.sign(S("x",r,t,e))];case"Sinh":return[n.sinh(S("x",r,t,e))];case"Softplus":return[n.softplus(S("x",r,t,e))];case"Sqrt":return[n.sqrt(S("x",r,t,e))];case"Square":return[n.square(S("x",r,t,e))];case"Tanh":return[n.tanh(S("x",r,t,e))];case"Tan":return[n.tan(S("x",r,t,e))];case"ClipByValue":return[n.clipByValue(S("x",r,t,e),S("clipValueMin",r,t,e),S("clipValueMax",r,t,e))];case"Relu6":return[n.relu6(S("x",r,t,e))];case"Rsqrt":return[n.rsqrt(br(r.inputNames[0],t,e))];case"Prod":return[n.prod(S("x",r,t,e),S("axes",r,t,e))];case"LeakyRelu":return[n.leakyRelu(S("x",r,t,e),S("alpha",r,t,e))];case"Prelu":return[n.prelu(S("x",r,t,e),S("alpha",r,t,e))];case"IsNan":return[n.isNaN(br(r.inputNames[0],t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function Vn(r,t,e=""){if(!(typeof r=="number"||typeof t=="number")){y.assert(r.length===t.length,()=>e+` Shapes ${r} and ${t} must match`);for(let n=0;ne+` Shapes ${r} and ${t} must match`)}}}function BD(r){return!(typeof r=="number"||r.some(t=>t<0))}function Kf(r,t,e){let n=Mb(r,e),o=!BD(n);if(o&&t.length===0)throw new Error(`Tried to calculate elements of an empty list with non-fully-defined elementShape: ${n}`);if(o&&t.forEach(s=>{n=Mb(s.shape,n)}),!BD(n))throw new Error(`Non-fully-defined elementShape: ${n}`);return n}function Mb(r,t){if(typeof r=="number")return t;if(typeof t=="number")return r;if(r.length!==t.length)throw new Error(`Incompatible ranks during merge: ${r} vs. ${t}`);let e=[];for(let n=0;n=0&&s>=0&&o!==s)throw new Error(`Incompatible shape during merge: ${r} vs. ${t}`);e[n]=o>=0?o:s}return e}var zb=class{constructor(t,e,n,o,s,i,a){this.name=t,this.dtype=e,this.maxSize=n,this.elementShape=o,this.identicalElementShapes=s,this.dynamicSize=i,this.clearAfterRead=a,this.tensors=[],this.closed_=!1,this.idTensor=mt(0),De(this.idTensor)}get id(){return this.idTensor.id}get closed(){return this.closed_}clearAndClose(t){this.tensors.forEach(e=>{(t==null||!t.has(e.tensor.id))&&e.tensor.dispose()}),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}size(){return this.tensors.length}read(t){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(t<0||t>=this.size())throw new Error(`Tried to read from index ${t}, but array size is: ${this.size()}`);let e=this.tensors[t];if(e.cleared)throw new Error(`TensorArray ${this.name}: Could not read index ${t} twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).`);return this.clearAfterRead&&(e.cleared=!0),e.read=!0,e.tensor}readMany(t){return t.map(e=>this.read(e))}write(t,e){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(t<0||!this.dynamicSize&&t>=this.maxSize)throw new Error(`Tried to write to index ${t}, but array is not resizeable and size is: ${this.maxSize}`);let n=this.tensors[t]||{};if(e.dtype!==this.dtype)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${t}, + because the value dtype is ${e.dtype}, but TensorArray dtype is ${this.dtype}.`);if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=e.shape),Vn(this.elementShape,e.shape,`TensorArray ${this.name}: Could not write to TensorArray index ${t}.`),n.read)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${t}, because it has already been read.`);if(n.written)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${t}, because it has already been written.`);n.tensor=e,De(e),n.written=!0,this.tensors[t]=n}writeMany(t,e){if(t.length!==e.length)throw new Error(`TensorArray ${this.name}: could not write multiple tensors,because the index size: ${t.length} is not the same as tensors size: ${e.length}.`);t.forEach((n,o)=>this.write(n,e[o]))}gather(t,e){if(!!e&&e!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but gather requested dtype ${e}`);if(t)t=t.slice(0,this.size());else{t=[];for(let o=0;o=this.maxSize)throw new Error(`Max index must be < array size (${n} vs. ${this.maxSize})`);this.writeMany(t,vr(e,0))}split(t,e){if(e.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${e.dtype}`);let n=0,o=t.map(u=>(n+=u,n));if(n!==e.shape[0])throw new Error(`Expected sum of lengths to be equal to tensor.shape[0], but sum of lengths is - ${n}, and tensor's shape is: ${e.shape}`);if(!this.dynamicSize&&t.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${t.length}), and the TensorArray is not marked as dynamically resizeable`);let s=n===0?0:e.size/n,i=[];B(()=>{e=D(e,[1,n,s]);for(let u=0;u{if(n!==s.dtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${s.dtype}`);zn(e,s.shape,"TensorList shape mismatch: "),De(s)}),this.idTensor=mt(0),this.maxNumElements=o,De(this.idTensor)}get id(){return this.idTensor.id}copy(){return new cl([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(t){this.tensors.forEach(e=>{(t==null||!t.has(e.id))&&e.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(t,e,n=-1){if(e!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e}, but list elements ${this.elementDtype}`);if(n!==-1&&this.tensors.length!==n)throw new Error(`Operation expected a list with ${n} elements but got a list with ${this.tensors.length} elements.`);zn(t,this.elementShape,"TensorList shape mismatch: ");let o=Uf(this.elementShape,this.tensors,t);return B(()=>{let s=this.tensors.map(i=>D(i,o));return rr(s,0)})}popBack(t,e){if(e!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e}, but list elements ${this.elementDtype}`);if(this.size()===0)throw new Error("Trying to pop from an empty list.");let n=Uf(this.elementShape,this.tensors,t),o=this.tensors.pop();return o.kept=!1,zn(o.shape,t,"TensorList shape mismatch: "),D(o,n)}pushBack(t){if(t.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t.dtype}, but list elements ${this.elementDtype}`);if(zn(t.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");De(t),this.tensors.push(t)}resize(t){if(t<0)throw new Error(`TensorListResize expects size to be non-negative. Got: ${t}`);if(this.maxNumElements!==-1&&t>this.maxNumElements)throw new Error(`TensorListResize input size ${t} is greater maxNumElement ${this.maxNumElements}.`);let e=new cl([],this.elementShape,this.elementDtype,this.maxNumElements);e.tensors.length=t;for(let n=0;nthis.tensors.length)throw new Error(`Trying to access element ${t} in a list with ${this.tensors.length} elements.`);if(this.tensors[t]==null)throw new Error(`element at index ${t} is null.`);zn(this.tensors[t].shape,e,"TensorList shape mismatch: ");let o=Uf(this.elementShape,this.tensors,e);return D(this.tensors[t],o)}setItem(t,e){if(e.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`);if(t<0||this.maxNumElements!==-1&&t>=this.maxNumElements)throw new Error(`Trying to set element ${t} in a list with max ${this.maxNumElements} elements.`);zn(this.elementShape,e.shape,"TensorList shape mismatch: "),De(e),this.tensors[t]!=null&&(this.tensors[t].kept=!1),this.tensors[t]=e}gather(t,e,n){if(e!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e}, but list elements ${this.elementDtype}`);zn(this.elementShape,n,"TensorList shape mismatch: "),t=t.slice(0,this.size());let o=Uf(this.elementShape,this.tensors,n);return t.length===0?wr([],[0].concat(o)):B(()=>{let s=t.map(i=>D(this.tensors[i],o));return rr(s,0)})}concat(t,e){if(!!t&&t!==this.elementDtype)throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${t}`);zn(this.elementShape,e,"TensorList shape mismatch: ");let n=Uf(this.elementShape,this.tensors,e);return this.size()===0?wr([],[0].concat(n)):B(()=>{let o=this.tensors.map(s=>D(s,n));return ne(o,0)})}};function FD(r,t,e){let n=r.dtype;if(r.shape.length<1)throw new Error(`Tensor must be at least a vector, but saw shape: ${r.shape}`);if(r.dtype!==e)throw new Error(`Invalid data types; op elements ${r.dtype}, but list elements ${e}`);let o=r.shape.slice(1);zn(o,t,"TensorList shape mismatch: ");let s=vr(r);return new cl(s,t,n)}function OD(r,t,e,n){return new cl([],r,t,n)}function PD(r,t,e,n){if(t.length!==r.shape[0])throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${t.length} vs. ${r.shape[0]}`);let o=Math.max(...t);if(n!=null&&n!==-1&&o>=n)throw new Error(`Max index must be < array size (${o} vs. ${n})`);let s=new cl([],e,r.dtype,n),i=vr(r,0);return t.forEach((a,u)=>{s.setItem(a,i[u])}),s}function LD(r,t,e){let n=0,o=t.map(c=>(n+=c,n));if(n!==r.shape[0])throw new Error(`Expected sum of lengths to be equal to + ${n}, and tensor's shape is: ${e.shape}`);if(!this.dynamicSize&&t.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${t.length}), and the TensorArray is not marked as dynamically resizeable`);let s=n===0?0:e.size/n,i=[];B(()=>{e=R(e,[1,n,s]);for(let u=0;u{if(n!==s.dtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${s.dtype}`);Vn(e,s.shape,"TensorList shape mismatch: "),De(s)}),this.idTensor=mt(0),this.maxNumElements=o,De(this.idTensor)}get id(){return this.idTensor.id}copy(){return new ml([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(t){this.tensors.forEach(e=>{(t==null||!t.has(e.id))&&e.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(t,e,n=-1){if(e!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e}, but list elements ${this.elementDtype}`);if(n!==-1&&this.tensors.length!==n)throw new Error(`Operation expected a list with ${n} elements but got a list with ${this.tensors.length} elements.`);Vn(t,this.elementShape,"TensorList shape mismatch: ");let o=Kf(this.elementShape,this.tensors,t);return B(()=>{let s=this.tensors.map(i=>R(i,o));return nr(s,0)})}popBack(t,e){if(e!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e}, but list elements ${this.elementDtype}`);if(this.size()===0)throw new Error("Trying to pop from an empty list.");let n=Kf(this.elementShape,this.tensors,t),o=this.tensors.pop();return o.kept=!1,Vn(o.shape,t,"TensorList shape mismatch: "),R(o,n)}pushBack(t){if(t.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t.dtype}, but list elements ${this.elementDtype}`);if(Vn(t.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");De(t),this.tensors.push(t)}resize(t){if(t<0)throw new Error(`TensorListResize expects size to be non-negative. Got: ${t}`);if(this.maxNumElements!==-1&&t>this.maxNumElements)throw new Error(`TensorListResize input size ${t} is greater maxNumElement ${this.maxNumElements}.`);let e=new ml([],this.elementShape,this.elementDtype,this.maxNumElements);e.tensors.length=t;for(let n=0;nthis.tensors.length)throw new Error(`Trying to access element ${t} in a list with ${this.tensors.length} elements.`);if(this.tensors[t]==null)throw new Error(`element at index ${t} is null.`);Vn(this.tensors[t].shape,e,"TensorList shape mismatch: ");let o=Kf(this.elementShape,this.tensors,e);return R(this.tensors[t],o)}setItem(t,e){if(e.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`);if(t<0||this.maxNumElements!==-1&&t>=this.maxNumElements)throw new Error(`Trying to set element ${t} in a list with max ${this.maxNumElements} elements.`);Vn(this.elementShape,e.shape,"TensorList shape mismatch: "),De(e),this.tensors[t]!=null&&(this.tensors[t].kept=!1),this.tensors[t]=e}gather(t,e,n){if(e!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e}, but list elements ${this.elementDtype}`);Vn(this.elementShape,n,"TensorList shape mismatch: "),t=t.slice(0,this.size());let o=Kf(this.elementShape,this.tensors,n);return t.length===0?ur([],[0].concat(o)):B(()=>{let s=t.map(i=>R(this.tensors[i],o));return nr(s,0)})}concat(t,e){if(!!t&&t!==this.elementDtype)throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${t}`);Vn(this.elementShape,e,"TensorList shape mismatch: ");let n=Kf(this.elementShape,this.tensors,e);return this.size()===0?ur([],[0].concat(n)):B(()=>{let o=this.tensors.map(s=>R(s,n));return ne(o,0)})}};function VD(r,t,e){let n=r.dtype;if(r.shape.length<1)throw new Error(`Tensor must be at least a vector, but saw shape: ${r.shape}`);if(r.dtype!==e)throw new Error(`Invalid data types; op elements ${r.dtype}, but list elements ${e}`);let o=r.shape.slice(1);Vn(o,t,"TensorList shape mismatch: ");let s=vr(r);return new ml(s,t,n)}function GD(r,t,e,n){return new ml([],r,t,n)}function WD(r,t,e,n){if(t.length!==r.shape[0])throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${t.length} vs. ${r.shape[0]}`);let o=Math.max(...t);if(n!=null&&n!==-1&&o>=n)throw new Error(`Max index must be < array size (${o} vs. ${n})`);let s=new ml([],e,r.dtype,n),i=vr(r,0);return t.forEach((a,u)=>{s.setItem(a,i[u])}),s}function UD(r,t,e){let n=0,o=t.map(c=>(n+=c,n));if(n!==r.shape[0])throw new Error(`Expected sum of lengths to be equal to tensor.shape[0], but sum of lengths is - ${n}, and tensor's shape is: ${r.shape}`);let s=r.shape.slice(1),i=Rb(s,e),a=n===0?0:r.size/n,u=B(()=>{let c=[];r=D(r,[1,n,a]);for(let p=0;p{switch(r.op){case"If":case"StatelessIf":{let n=v("thenBranch",r,t,e),o=v("elseBranch",r,t,e),s=v("cond",r,t,e),i=v("args",r,t,e);return(await s.data())[0]?e.functionMap[n].executeFunctionAsync(i,e.tensorArrayMap,e.tensorListMap):e.functionMap[o].executeFunctionAsync(i,e.tensorArrayMap,e.tensorListMap)}case"While":case"StatelessWhile":{let n=v("body",r,t,e),o=v("cond",r,t,e),s=v("args",r,t,e),i=await e.functionMap[o].executeFunctionAsync(s,e.tensorArrayMap,e.tensorListMap),a=s.map(c=>c.id),u=await i[0].data();i.forEach(c=>{!c.kept&&a.indexOf(c.id)===-1&&c.dispose()});let l=s;for(;u[0];){let c=l;l=await e.functionMap[n].executeFunctionAsync(l,e.tensorArrayMap,e.tensorListMap);let p=l.map(f=>f.id);c.forEach(f=>{!f.kept&&a.indexOf(f.id)===-1&&p.indexOf(f.id)===-1&&f.dispose()});let m=await e.functionMap[o].executeFunctionAsync(l,e.tensorArrayMap,e.tensorListMap);u=await m[0].data(),m.forEach(f=>{!f.kept&&a.indexOf(f.id)===-1&&p.indexOf(f.id)===-1&&f.dispose()})}return l}case"LoopCond":{let n=v("pred",r,t,e);return[Xs(n)]}case"Switch":{let n=v("pred",r,t,e),o=v("data",r,t,e);return o.kept||(o=Xs(o)),(await n.data())[0]?[void 0,o]:[o,void 0]}case"Merge":{let n=r.inputNames.find(o=>yr(o,t,e)!==void 0);if(n){let o=yr(n,t,e);return[Xs(o)]}return}case"Enter":{let n=v("frameName",r,t,e),o=v("tensor",r,t,e);return e.enterFrame(n),[Xs(o)]}case"Exit":{let n=v("tensor",r,t,e);return e.exitFrame(),[Xs(n)]}case"NextIteration":{let n=v("tensor",r,t,e);return e.nextIteration(),[Xs(n)]}case"TensorArrayV3":{let n=v("size",r,t,e),o=v("dtype",r,t,e),s=v("elementShape",r,t,e),i=v("dynamicSize",r,t,e),a=v("clearAfterRead",r,t,e),u=v("identicalElementShapes",r,t,e),l=v("name",r,t,e),c=new Fb(l,o,n,s,u,i,a);return e.addTensorArray(c),[c.idTensor,mt(1)]}case"TensorArrayWriteV3":{let n=v("tensorArrayId",r,t,e),o=v("index",r,t,e),s=v("tensor",r,t,e),i=e.getTensorArray(n.id);return i.write(o,s),[i.idTensor]}case"TensorArrayReadV3":{let n=v("tensorArrayId",r,t,e),o=v("index",r,t,e);return[e.getTensorArray(n.id).read(o)]}case"TensorArrayGatherV3":{let n=v("tensorArrayId",r,t,e),o=v("indices",r,t,e),s=v("dtype",r,t,e);return[e.getTensorArray(n.id).gather(o,s)]}case"TensorArrayScatterV3":{let n=v("tensorArrayId",r,t,e),o=v("indices",r,t,e),s=v("tensor",r,t,e),i=e.getTensorArray(n.id);return i.scatter(o,s),[i.idTensor]}case"TensorArrayConcatV3":{let n=v("tensorArrayId",r,t,e),o=e.getTensorArray(n.id),s=v("dtype",r,t,e);return[o.concat(s)]}case"TensorArraySplitV3":{let n=v("tensorArrayId",r,t,e),o=v("tensor",r,t,e),s=v("lengths",r,t,e),i=e.getTensorArray(n.id);return i.split(s,o),[i.idTensor]}case"TensorArraySizeV3":{let n=v("tensorArrayId",r,t,e),o=e.getTensorArray(n.id);return[mt(o.size(),"int32")]}case"TensorArrayCloseV3":{let n=v("tensorArrayId",r,t,e),o=e.getTensorArray(n.id);return o.clearAndClose(),[o.idTensor]}case"TensorListSetItem":{let n=v("tensorListId",r,t,e),o=v("index",r,t,e),s=v("tensor",r,t,e),i=e.getTensorList(n.id);return i.setItem(o,s),[i.idTensor]}case"TensorListGetItem":{let n=v("tensorListId",r,t,e),o=v("index",r,t,e),s=v("elementShape",r,t,e),i=v("elementDType",r,t,e);return[e.getTensorList(n.id).getItem(o,s,i)]}case"TensorListScatterV2":case"TensorListScatter":{let n=v("indices",r,t,e),o=v("tensor",r,t,e),s=v("elementShape",r,t,e),i=v("numElements",r,t,e),a=PD(o,n,s,i);return e.addTensorList(a),[a.idTensor]}case"TensorListReserve":case"EmptyTensorList":{let n=v("elementShape",r,t,e),o=v("elementDType",r,t,e),s;r.op==="TensorListReserve"?s="numElements":s="maxNumElements";let i=v(s,r,t,e),a=r.op==="TensorListReserve"?-1:i,u=OD(n,o,i,a);return e.addTensorList(u),[u.idTensor]}case"TensorListGather":{let n=v("tensorListId",r,t,e),o=v("indices",r,t,e),s=v("elementShape",r,t,e),i=v("elementDType",r,t,e);return[e.getTensorList(n.id).gather(o,i,s)]}case"TensorListStack":{let n=v("tensorListId",r,t,e),o=v("elementShape",r,t,e),s=v("elementDType",r,t,e),i=v("numElements",r,t,e);return[e.getTensorList(n.id).stack(o,s,i)]}case"TensorListFromTensor":{let n=v("tensor",r,t,e),o=v("elementShape",r,t,e),s=v("elementDType",r,t,e),i=FD(n,o,s);return e.addTensorList(i),[i.idTensor]}case"TensorListConcat":case"TensorListConcatV2":{let n=v("tensorListId",r,t,e),o=e.getTensorList(n.id),s=v("dtype",r,t,e),i=v("elementShape",r,t,e);return[o.concat(s,i)]}case"TensorListPushBack":{let n=v("tensorListId",r,t,e),o=v("tensor",r,t,e),s=e.getTensorList(n.id);return s.pushBack(o),[s.idTensor]}case"TensorListPopBack":{let n=v("tensorListId",r,t,e),o=v("elementShape",r,t,e),s=v("elementDType",r,t,e);return[e.getTensorList(n.id).popBack(o,s)]}case"TensorListSplit":{let n=v("tensor",r,t,e),o=v("elementShape",r,t,e),s=v("lengths",r,t,e),i=LD(n,s,o);return e.addTensorList(i),[i.idTensor]}case"TensorListLength":{let n=v("tensorListId",r,t,e),o=e.getTensorList(n.id);return[mt(o.size(),"int32")]}case"TensorListResize":{let n=v("tensorListId",r,t,e),o=v("size",r,t,e),i=e.getTensorList(n.id).resize(o);return e.addTensorList(i),[i.idTensor]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};function zD(r,t,e){let[n,o]=v("fusedOps",r,t,e),s=n==="biasadd",i=!s,a=o==="prelu",u=n==="fusedbatchnorm",l=v("numArgs",r,t,e);if(s){if(a&&l!==2)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!a&&s&&l!==1)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(u)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported");let c=v("strides",r,t,e),p=Eh(r,t,e),m=v("dataFormat",r,t,e).toUpperCase(),f=v("dilations",r,t,e),[d,h]=v("args",r,t,e);i&&(h=d,d=void 0);let g=v("leakyreluAlpha",r,t,e);return{stride:c,pad:p,dataFormat:m,dilations:f,biasArg:d,preluArg:h,activationFunc:o,leakyreluAlpha:g}}var BD=(r,t,e,n=ae)=>{switch(r.op){case"Conv1D":{let o=v("stride",r,t,e),s=v("pad",r,t,e),i=v("dataFormat",r,t,e).toUpperCase(),a=v("dilation",r,t,e);return[n.conv1d(v("x",r,t,e),v("filter",r,t,e),o,s,i,a)]}case"Conv2D":{let o=v("strides",r,t,e),s=Eh(r,t,e),i=v("dataFormat",r,t,e).toUpperCase(),a=v("dilations",r,t,e);return[n.conv2d(v("x",r,t,e),v("filter",r,t,e),[o[1],o[2]],s,i,[a[1],a[2]])]}case"_FusedConv2D":{let{stride:o,pad:s,dataFormat:i,dilations:a,biasArg:u,preluArg:l,activationFunc:c,leakyreluAlpha:p}=zD(r,t,e);return[n.fused.conv2d({x:v("x",r,t,e),filter:v("filter",r,t,e),strides:[o[1],o[2]],pad:s,dataFormat:i,dilations:[a[1],a[2]],bias:u,activation:c,preluActivationWeights:l,leakyreluAlpha:p})]}case"FusedDepthwiseConv2dNative":{let{stride:o,pad:s,dataFormat:i,dilations:a,biasArg:u,preluArg:l,activationFunc:c,leakyreluAlpha:p}=zD(r,t,e);return[n.fused.depthwiseConv2d({x:v("x",r,t,e),filter:v("filter",r,t,e),strides:[o[1],o[2]],pad:s,dataFormat:i,dilations:[a[1],a[2]],bias:u,activation:c,preluActivationWeights:l,leakyreluAlpha:p})]}case"Conv2DBackpropInput":case"Conv2dTranspose":{let o=v("outputShape",r,t,e),s=v("strides",r,t,e),i=Eh(r,t,e);return[n.conv2dTranspose(v("x",r,t,e),v("filter",r,t,e),o,[s[1],s[2]],i)]}case"DepthwiseConv2dNative":case"DepthwiseConv2d":{let o=v("strides",r,t,e),s=Eh(r,t,e),i=v("dilations",r,t,e),a=v("dataFormat",r,t,e).toUpperCase();return[n.depthwiseConv2d(v("input",r,t,e),v("filter",r,t,e),[o[1],o[2]],s,a,[i[1],i[2]])]}case"Conv3D":{let o=v("strides",r,t,e),s=v("pad",r,t,e),i=v("dataFormat",r,t,e).toUpperCase(),a=v("dilations",r,t,e);return[n.conv3d(v("x",r,t,e),v("filter",r,t,e),[o[1],o[2],o[3]],s,i,[a[1],a[2],a[3]])]}case"AvgPool":{let o=v("strides",r,t,e),s=v("pad",r,t,e),i=v("kernelSize",r,t,e);return[n.avgPool(v("x",r,t,e),[i[1],i[2]],[o[1],o[2]],s)]}case"MaxPool":{let o=v("strides",r,t,e),s=v("pad",r,t,e),i=v("kernelSize",r,t,e);return[n.maxPool(v("x",r,t,e),[i[1],i[2]],[o[1],o[2]],s)]}case"MaxPoolWithArgmax":{let o=v("strides",r,t,e),s=v("pad",r,t,e),i=v("kernelSize",r,t,e),a=v("includeBatchInIndex",r,t,e),{result:u,indexes:l}=n.maxPoolWithArgmax(v("x",r,t,e),[i[1],i[2]],[o[1],o[2]],s,a);return[u,l]}case"AvgPool3D":{let o=v("strides",r,t,e),s=v("pad",r,t,e),i=v("kernelSize",r,t,e);return[n.avgPool3d(v("x",r,t,e),[i[1],i[2],i[3]],[o[1],o[2],o[3]],s)]}case"MaxPool3D":{let o=v("strides",r,t,e),s=v("pad",r,t,e),i=v("kernelSize",r,t,e);return[n.maxPool3d(v("x",r,t,e),[i[1],i[2],i[3]],[o[1],o[2],o[3]],s)]}case"Dilation2D":{let o=v("strides",r,t,e),s=v("pad",r,t,e),i=v("dilations",r,t,e),a=o[1],u=o[2],l=i[1],c=i[2];return[n.dilation2d(v("x",r,t,e),v("filter",r,t,e),[a,u],s,[l,c],"NHWC")]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var VD=(r,t,e,n=ae)=>{switch(r.op){case"Fill":{let o=v("shape",r,t,e),s=v("dtype",r,t,e),i=v("value",r,t,e);return[n.fill(o,i,s)]}case"LinSpace":{let o=v("start",r,t,e),s=v("stop",r,t,e),i=v("num",r,t,e);return[n.linspace(o,s,i)]}case"Multinomial":{let o=v("logits",r,t,e),s=v("numSamples",r,t,e),i=v("seed",r,t,e);return[n.multinomial(o,s,i)]}case"OneHot":{let o=v("indices",r,t,e),s=v("depth",r,t,e),i=v("onValue",r,t,e),a=v("offValue",r,t,e),u=v("dtype",r,t,e);return[n.oneHot(o,s,i,a,u)]}case"Ones":return[n.ones(v("shape",r,t,e),v("dtype",r,t,e))];case"OnesLike":return[n.onesLike(v("x",r,t,e))];case"RandomStandardNormal":return[n.randomStandardNormal(v("shape",r,t,e),v("dtype",r,t,e),v("seed",r,t,e))];case"RandomUniform":return[n.randomUniform(v("shape",r,t,e),v("minval",r,t,e),v("maxval",r,t,e),v("dtype",r,t,e))];case"Range":{let o=v("start",r,t,e),s=v("stop",r,t,e),i=v("step",r,t,e);return[n.range(o,s,i,v("dtype",r,t,e))]}case"TruncatedNormal":{let o=v("shape",r,t,e),s=v("mean",r,t,e),i=v("stdDev",r,t,e),a=v("seed",r,t,e);return[n.truncatedNormal(o,s,i,v("dtype",r,t,e),a)]}case"Zeros":return[n.zeros(v("shape",r,t,e),v("dtype",r,t,e))];case"ZerosLike":return[n.zerosLike(v("x",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function aN(r,t,e){let n=v("boxes",r,t,e),o=v("scores",r,t,e),s=v("maxOutputSize",r,t,e),i=v("iouThreshold",r,t,e),a=v("scoreThreshold",r,t,e),u=v("softNmsSigma",r,t,e);return{boxes:n,scores:o,maxOutputSize:s,iouThreshold:i,scoreThreshold:a,softNmsSigma:u}}var GD=async(r,t,e,n,o=ae)=>{switch(r.op){case"NonMaxSuppressionV5":{let{boxes:s,scores:i,maxOutputSize:a,iouThreshold:u,scoreThreshold:l,softNmsSigma:c}=aN(r,t,e),p=await o.image.nonMaxSuppressionWithScoreAsync(s,i,a,u,l,c);return[p.selectedIndices,p.selectedScores]}case"NonMaxSuppressionV4":{let{boxes:s,scores:i,maxOutputSize:a,iouThreshold:u,scoreThreshold:l}=aN(r,t,e),c=v("padToMaxOutputSize",r,t,e),p=await o.image.nonMaxSuppressionPaddedAsync(s,i,a,u,l,c);return[p.selectedIndices,p.validOutputs]}case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":{let{boxes:s,scores:i,maxOutputSize:a,iouThreshold:u,scoreThreshold:l}=aN(r,t,e);return[await o.image.nonMaxSuppressionAsync(s,i,a,u,l)]}case"Where":{let s=o.cast(v("condition",r,t,e),"bool"),i=[await o.whereAsync(s)];return s.dispose(),i}case"ListDiff":return o.setdiff1dAsync(v("x",r,t,e),v("y",r,t,e));default:throw TypeError(`Node type ${r.op} is not implemented`)}};var WD=(r,t,e,n=ae)=>{switch(r.op){case"LowerBound":{let o=v("sortedSequence",r,t,e),s=v("values",r,t,e);return[n.lowerBound(o,s)]}case"TopKV2":{let o=v("x",r,t,e),s=v("k",r,t,e),i=v("sorted",r,t,e),a=n.topk(o,s,i);return[a.values,a.indices]}case"UpperBound":{let o=v("sortedSequence",r,t,e),s=v("values",r,t,e);return[n.upperBound(o,s)]}case"Unique":{let o=v("x",r,t,e),s=n.unique(o);return[s.values,s.indices]}case"UniqueV2":{let o=v("x",r,t,e),s=v("axis",r,t,e),i=n.unique(o,s);return[i.values,i.indices]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var UD=(r,t,e,n=ae)=>{switch(r.op){case"Const":return t[r.name];case"PlaceholderWithDefault":let o=v("default",r,t,e);return[yr(r.name,t,e)||o];case"Placeholder":return[yr(r.name,t,e)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":{let c=v("x",r,t,e);return[Xs(c)]}case"IdentityN":return v("x",r,t,e).map(c=>Xs(c));case"Snapshot":let s=v("x",r,t,e);return[Xs(s)];case"Shape":return[n.tensor1d(v("x",r,t,e).shape,"int32")];case"ShapeN":return v("x",r,t,e).map(c=>n.tensor1d(c.shape));case"Size":return[n.scalar(v("x",r,t,e).size,"int32")];case"Rank":return[n.scalar(v("x",r,t,e).rank,"int32")];case"NoOp":return[n.scalar(1)];case"Print":let i=v("x",r,t,e),a=v("data",r,t,e),u=v("message",r,t,e),l=v("summarize",r,t,e);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(u);for(let c=0;ct.dispose()),this.tensorMap.clear(),this.handle.dispose()}size(){return this.tensorMap.size}tensorSize(){return mt(this.size(),"int32")}async import(t,e){this.checkKeyAndValueTensor(t,e);let n=await t.data();return this.tensorMap.forEach(o=>o.dispose()),this.tensorMap.clear(),B(()=>{let o=vr(e),s=n.length,i=o.length;y.assert(s===i,()=>`The number of elements doesn't match, keys has ${s} elements, the values has ${i} elements.`);for(let a=0;a{let o=[];for(let s=0;s{switch(r.op){case"HashTable":case"HashTableV2":{let o=v("keyDType",r,t,e),s=v("valueDType",r,t,e),i=new Ob(o,s);return n.addHashTable(r.name,i),[i.handle]}case"LookupTableImport":case"LookupTableImportV2":{let o=v("tableHandle",r,t,e,n),s=v("keys",r,t,e),i=v("values",r,t,e);return[await n.getHashTableById(o.id).import(s,i)]}case"LookupTableFind":case"LookupTableFindV2":{let o=v("tableHandle",r,t,e,n),s=v("keys",r,t,e),i=v("defaultValue",r,t,e);return[await n.getHashTableById(o.id).find(s,i)]}case"LookupTableSize":case"LookupTableSizeV2":{let o=v("tableHandle",r,t,e,n);return[n.getHashTableById(o.id).tensorSize()]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var qD=(r,t,e,n=ae)=>{switch(r.op){case"ResizeBilinear":{let o=v("images",r,t,e),s=v("size",r,t,e),i=v("alignCorners",r,t,e),a=v("halfPixelCenters",r,t,e);return[n.image.resizeBilinear(o,[s[0],s[1]],i,a)]}case"ResizeNearestNeighbor":{let o=v("images",r,t,e),s=v("size",r,t,e),i=v("alignCorners",r,t,e),a=v("halfPixelCenters",r,t,e);return[n.image.resizeNearestNeighbor(o,[s[0],s[1]],i,a)]}case"CropAndResize":{let o=v("image",r,t,e),s=v("boxes",r,t,e),i=v("boxInd",r,t,e),a=v("cropSize",r,t,e),u=v("method",r,t,e),l=v("extrapolationValue",r,t,e);return[n.image.cropAndResize(o,s,i,a,u,l)]}case"ImageProjectiveTransformV3":{let o=v("images",r,t,e),s=v("transforms",r,t,e),i=v("outputShape",r,t,e),a=v("fillValue",r,t,e),u=v("interpolation",r,t,e),l=v("fillMode",r,t,e);return[n.image.transform(o,s,u.toLowerCase(),l.toLowerCase(),a,i)]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var KD=(r,t,e,n=ae)=>{switch(r.op){case"Equal":return[n.equal(v("a",r,t,e),v("b",r,t,e))];case"NotEqual":return[n.notEqual(v("a",r,t,e),v("b",r,t,e))];case"Greater":return[n.greater(v("a",r,t,e),v("b",r,t,e))];case"GreaterEqual":return[n.greaterEqual(v("a",r,t,e),v("b",r,t,e))];case"Less":return[n.less(v("a",r,t,e),v("b",r,t,e))];case"LessEqual":return[n.lessEqual(v("a",r,t,e),v("b",r,t,e))];case"LogicalAnd":return[n.logicalAnd(v("a",r,t,e),v("b",r,t,e))];case"LogicalNot":return[n.logicalNot(v("a",r,t,e))];case"LogicalOr":return[n.logicalOr(v("a",r,t,e),v("b",r,t,e))];case"Select":case"SelectV2":return[n.where(v("condition",r,t,e),v("a",r,t,e),v("b",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var jD=(r,t,e,n=ae)=>{switch(r.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[n.matMul(v("a",r,t,e),v("b",r,t,e),v("transposeA",r,t,e),v("transposeB",r,t,e))];case"Einsum":return[n.einsum(v("equation",r,t,e),...v("tensors",r,t,e))];case"Transpose":return[n.transpose(v("x",r,t,e),v("perm",r,t,e))];case"_FusedMatMul":let[o,s]=v("fusedOps",r,t,e),i=o==="biasadd",a=s==="prelu",u=v("numArgs",r,t,e),l=v("leakyreluAlpha",r,t,e);if(i){if(a&&u!==2)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!a&&u!==1)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}let[c,p]=v("args",r,t,e);return[n.fused.matMul({a:v("a",r,t,e),b:v("b",r,t,e),transposeA:v("transposeA",r,t,e),transposeB:v("transposeB",r,t,e),bias:c,activation:s,preluActivationWeights:p,leakyreluAlpha:l})];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var XD=(r,t,e,n=ae)=>{switch(r.op){case"EuclideanNorm":return[n.euclideanNorm(v("x",r,t,e),v("axis",r,t,e),v("keepDims",r,t,e))];case"FusedBatchNorm":case"FusedBatchNormV2":return[n.batchNorm(v("x",r,t,e),v("mean",r,t,e),v("variance",r,t,e),v("offset",r,t,e),v("scale",r,t,e),v("epsilon",r,t,e))];case"FusedBatchNormV3":return[n.batchNorm(v("x",r,t,e),v("mean",r,t,e),v("variance",r,t,e),v("offset",r,t,e),v("scale",r,t,e),v("epsilon",r,t,e))];case"LRN":return[n.localResponseNormalization(v("x",r,t,e),v("radius",r,t,e),v("bias",r,t,e),v("alpha",r,t,e),v("beta",r,t,e))];case"Softmax":return[n.softmax(v("x",r,t,e))];case"LogSoftmax":return[n.logSoftmax(v("x",r,t,e))];case"SparseToDense":return[n.sparseToDense(v("sparseIndices",r,t,e),v("outputShape",r,t,e),v("sparseValues",r,t,e),v("defaultValue",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var YD=(r,t,e,n=ae)=>{switch(r.op){case"Max":{let a=v("axis",r,t,e),u=v("keepDims",r,t,e);return[n.max(v("x",r,t,e),a,u)]}case"Mean":{let a=v("axis",r,t,e),u=v("keepDims",r,t,e);return[n.mean(v("x",r,t,e),a,u)]}case"Min":{let a=v("axis",r,t,e),u=v("keepDims",r,t,e);return[n.min(v("x",r,t,e),a,u)]}case"Sum":{let a=v("axis",r,t,e),u=v("keepDims",r,t,e);return[n.sum(v("x",r,t,e),a,u)]}case"All":{let a=v("axis",r,t,e),u=v("keepDims",r,t,e);return[n.all(v("x",r,t,e),a,u)]}case"Any":{let a=v("axis",r,t,e),u=v("keepDims",r,t,e);return[n.any(v("x",r,t,e),a,u)]}case"ArgMax":{let a=v("axis",r,t,e);return[n.argMax(v("x",r,t,e),a)]}case"ArgMin":{let a=v("axis",r,t,e);return[n.argMin(v("x",r,t,e),a)]}case"Prod":{let a=v("axis",r,t,e),u=v("keepDims",r,t,e);return[n.prod(v("x",r,t,e),a,u)]}case"Cumprod":{let a=v("axis",r,t,e),u=v("exclusive",r,t,e),l=v("reverse",r,t,e);return[n.cumprod(v("x",r,t,e),a,u,l)]}case"Cumsum":{let a=v("axis",r,t,e),u=v("exclusive",r,t,e),l=v("reverse",r,t,e);return[n.cumsum(v("x",r,t,e),a,u,l)]}case"Bincount":let o=v("x",r,t,e),s=v("weights",r,t,e),i=v("size",r,t,e);return[n.bincount(o,s,i)];case"DenseBincount":{let a=v("x",r,t,e),u=v("weights",r,t,e),l=v("size",r,t,e),c=v("binaryOutput",r,t,e);return[n.denseBincount(a,u,l,c)]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var ZD=(r,t,e,n=ae)=>{switch(r.op){case"ConcatV2":case"Concat":{let o=v("n",r,t,e),s=v("axis",r,t,e),i=v("tensors",r,t,e);return i=i.slice(0,o),[n.concat(i,s)]}case"Gather":{let o=v("x",r,t,e),s=v("indices",r,t,e);return[n.gather(o,n.cast(s,"int32"),0)]}case"GatherV2":{let o=v("axis",r,t,e),s=v("batchDims",r,t,e),i=v("x",r,t,e),a=v("indices",r,t,e);return[n.gather(i,n.cast(a,"int32"),o,s)]}case"Reverse":{let o=v("dims",r,t,e),s=[];for(let a=0;a{let o=v("axis",r,t,e),s=v("tensors",r,t,e),i=s[0].shape,a=n.squeeze(s[0]).shape,u=s.map(l=>{let c=y.arraysEqual(l.shape,i);if(!c&&!y.arraysEqual(n.squeeze(l).shape,a))throw new Error("the input tensors shape does not match");return c?l:n.reshape(l,i)});return[n.stack(u,o)]});case"Unpack":{let o=v("axis",r,t,e),s=v("tensor",r,t,e);return n.unstack(s,o)}case"Tile":{let o=v("reps",r,t,e);return[n.tile(v("x",r,t,e),o)]}case"Split":case"SplitV":{let o=v("axis",r,t,e),s=v("numOrSizeSplits",r,t,e),i=v("x",r,t,e);return n.split(i,s,o)}case"ScatterNd":{let o=v("indices",r,t,e),s=v("values",r,t,e),i=v("shape",r,t,e);return[n.scatterND(o,s,i)]}case"GatherNd":{let o=v("x",r,t,e),s=v("indices",r,t,e);return[n.gatherND(o,s)]}case"SparseToDense":{let o=v("sparseIndices",r,t,e),s=v("outputShape",r,t,e),i=v("sparseValues",r,t,e),a=v("defaultValue",r,t,e);return[n.sparseToDense(o,i,s,i.dtype===a.dtype?a:n.cast(a,i.dtype))]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var JD=(r,t,e,n=ae)=>{switch(r.op){case"SparseFillEmptyRows":{let{outputIndices:o,outputValues:s,emptyRowIndicator:i,reverseIndexMap:a}=n.sparse.sparseFillEmptyRows(v("indices",r,t,e),v("values",r,t,e),v("denseShape",r,t,e),v("defaultValue",r,t,e));return[o,s,i,a]}case"SparseReshape":{let{outputIndices:o,outputShape:s}=n.sparse.sparseReshape(v("inputIndices",r,t,e),v("inputShape",r,t,e),v("newShape",r,t,e));return[o,s]}case"SparseSegmentMean":return[n.sparse.sparseSegmentMean(v("data",r,t,e),v("indices",r,t,e),v("segmentIds",r,t,e))];case"SparseSegmentSum":return[n.sparse.sparseSegmentSum(v("data",r,t,e),v("indices",r,t,e),v("segmentIds",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var QD=(r,t,e,n=ae)=>{switch(r.op){case"FFT":return[n.fft(v("x",r,t,e))];case"IFFT":return[n.ifft(v("x",r,t,e))];case"RFFT":return[n.rfft(v("x",r,t,e))];case"IRFFT":return[n.irfft(v("x",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var tR=(r,t,e,n=ae)=>{switch(r.op){case"StringNGrams":{let{nGrams:o,nGramsSplits:s}=n.string.stringNGrams(v("data",r,t,e),v("dataSplits",r,t,e),v("separator",r,t,e),v("nGramWidths",r,t,e),v("leftPad",r,t,e),v("rightPad",r,t,e),v("padWidth",r,t,e),v("preserveShortSequences",r,t,e));return[o,s]}case"StringSplit":{let{indices:o,values:s,shape:i}=n.string.stringSplit(v("input",r,t,e),v("delimiter",r,t,e),v("skipEmpty",r,t,e));return[o,s,i]}case"StringToHashBucketFast":return[n.string.stringToHashBucketFast(v("input",r,t,e),v("numBuckets",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var eR=(r,t,e,n=ae)=>{switch(r.op){case"Cast":return[n.cast(v("x",r,t,e),v("dtype",r,t,e))];case"ExpandDims":{let o=v("axis",r,t,e);return[n.expandDims(v("x",r,t,e),o)]}case"Squeeze":{let o=v("axis",r,t,e);return[n.squeeze(v("x",r,t,e),o)]}case"Reshape":return[n.reshape(v("x",r,t,e),v("shape",r,t,e))];case"MirrorPad":return[n.mirrorPad(v("x",r,t,e),v("padding",r,t,e),v("mode",r,t,e))];case"PadV2":case"Pad":return[n.pad(v("x",r,t,e),v("padding",r,t,e),v("constantValue",r,t,e))];case"SpaceToBatchND":{let o=v("blockShape",r,t,e),s=v("paddings",r,t,e);return[n.spaceToBatchND(v("x",r,t,e),o,s)]}case"BatchToSpaceND":{let o=v("blockShape",r,t,e),s=v("crops",r,t,e);return[n.batchToSpaceND(v("x",r,t,e),o,s)]}case"DepthToSpace":{let o=v("blockSize",r,t,e),s=v("dataFormat",r,t,e).toUpperCase();return[n.depthToSpace(v("x",r,t,e),o,s)]}case"BroadcastTo":return[n.broadcastTo(v("x",r,t,e),v("shape",r,t,e))];case"BroadcastArgs":return[n.broadcastArgs(v("s0",r,t,e),v("s1",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function lN(r,t,e,n,o=B){let s=((i,a,u)=>{switch(i.category){case"arithmetic":return o(()=>$D(i,a,u));case"basic_math":return o(()=>DD(i,a,u));case"control":return MD(i,a,u);case"convolution":return o(()=>BD(i,a,u));case"creation":return o(()=>VD(i,a,u));case"dynamic":return GD(i,a,u);case"evaluation":return o(()=>WD(i,a,u));case"image":return o(()=>qD(i,a,u));case"graph":return o(()=>UD(i,a,u));case"logical":return o(()=>KD(i,a,u));case"matrices":return o(()=>jD(i,a,u));case"normalization":return o(()=>XD(i,a,u));case"reduction":return o(()=>YD(i,a,u));case"slice_join":return o(()=>ZD(i,a,u));case"sparse":return o(()=>JD(i,a,u));case"spectral":return o(()=>QD(i,a,u));case"string":return o(()=>tR(i,a,u));case"transformation":return o(()=>eR(i,a,u));case"hash_table":return HD(i,a,u,n);case"custom":let l=wb(i.op);if(l&&l.customExecutor)return l.customExecutor(new Db(i,a,u));throw TypeError(`Custom op ${i.op} is not registered.`);default:throw TypeError(`Unknown op '${i.op}'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()`)}})(r,t,e);return y.isPromise(s)?s.then(i=>[].concat(i)):[].concat(s)}var Ah=class{constructor(t={},e={},n={},o={}){this.weightMap=t,this.tensorArrayMap=e,this.tensorListMap=n,this.functionMap=o,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}newFrame(t,e){return{id:t,frameName:e,iterationId:0}}set currentContext(t){this.contexts!==t&&(this.contexts=t,this.generateCurrentContextIds())}get currentContext(){return this.contexts}get currentContextId(){return this._currentContextIds[0]}get currentContextIds(){return this._currentContextIds}generateCurrentContextIds(){let t=[];for(let e=0;ee.id===0&&e.iterationId===0?"":`${e.frameName}-${e.iterationId}`).join("/"):""}enterFrame(t){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,t)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}exitFrame(){if(this.contexts&&this.contexts.length>1)this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift();else throw new Error("Cannot exit frame, the context is empty")}nextIteration(){if(this.contexts&&this.contexts.length>0){this.contexts=this.contexts.slice(),this.lastId++;let t=Object.assign({},this.contexts[this.contexts.length-1]);t.iterationId+=1,t.id=this.lastId,this.contexts.splice(-1,1,t),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}else throw new Error("Cannot increase frame iteration, the context is empty")}getWeight(t){return this.weightMap[t]}addTensorArray(t){this.tensorArrayMap[t.id]=t}getTensorArray(t){return this.tensorArrayMap[t]}addTensorList(t){this.tensorListMap[t.id]=t}getTensorList(t){return this.tensorListMap[t]}dispose(t){for(let e in this.tensorArrayMap)this.tensorArrayMap[e].clearAndClose(t);for(let e in this.tensorListMap)this.tensorListMap[e].clearAndClose(t)}};function uN(r,t,e,n){let o=new Set,s=[],i=null,a=null,u=new Set,l=Object.keys(r).map(m=>gn(m)[0]),c=[];n!=null&&(c=n.map(m=>gn(m.name)[0]));let p=[...t];for(;p.length>0;){let m=p.pop();if((cN(m)||y7(m)||b7(m))&&i==null&&(i=m,a=i.children.map(f=>f.name).filter(f=>o.has(f))),o.add(m.name),e[m.name]==null&&l.indexOf(m.name)===-1&&c.indexOf(m.name)===-1){if(m.inputs.length===0){s.push(m.name);continue}m.inputs.forEach(f=>{u.has(f.name)||(u.add(f.name),p.push(f))})}}return{inputs:r,outputs:t,usedNodes:o,missingInputs:s,dynamicNode:i,syncInputs:a}}function rR(r,t,e){let{usedNodes:n,inputs:o}=e,s=[],i=Object.keys(o).map(c=>gn(c)[0]).map(c=>r.nodes[c]),a=r.initNodes;i.forEach(c=>{n.has(c.name)&&s.push(c)}),r.weights.forEach(c=>{n.has(c.name)&&s.push(c)}),a!=null&&a.forEach(c=>{n.has(c.name)&&s.push(c)});let u=new Set,l=[];for(;s.length>0;){let c=s.pop();u.add(c.name),t[c.name]||l.push(c),c.children.forEach(p=>{!u.has(p.name)&&n.has(p.name)&&p.inputs.every(m=>u.has(m.name))&&s.push(p)})}return l}var h7=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],g7=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"],x7=["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2","LookupTableSize","LookupTableSizeV2"];function cN(r){return h7.indexOf(r.op)>=0}function y7(r){return g7.indexOf(r.op)>=0}function b7(r){return x7.indexOf(r.op)>=0}var Nc=class{constructor(t,e){this.graph=t,this.parent=e,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._functions={},this._functionExecutorMap={},this.intermediateTensors={},this.keepTensorForDebug=!1,this._outputs=t.outputs,this._inputs=t.inputs,this._initNodes=t.initNodes,this._signature=t.signature,this._functions=t.functions,t.functions!=null&&Object.keys(t.functions).forEach(n=>{this._functionExecutorMap[n]=new Nc(t.functions[n],this)})}get weightIds(){return this.parent?this.parent.weightIds:this._weightIds}get functionExecutorMap(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}get weightMap(){return this.parent?this.parent.weightMap:this._weightMap}set weightMap(t){let e=Object.keys(t).map(n=>t[n].map(o=>o.id));this._weightIds=[].concat(...e),this._weightMap=t}set resourceManager(t){this._resourceManager=t}get inputs(){return this._inputs.map(t=>({name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}))}get outputs(){return this._outputs.map(t=>({name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}))}get inputNodes(){return this._inputs.map(t=>t.signatureKey||t.name)}get outputNodes(){return this._outputs.map(t=>{let e=t.signatureKey||t.name;return t.defaultOutput?`${e}:${t.defaultOutput}`:e})}get functions(){return Object.keys(this._functions).reduce((t,e)=>(t[e]=this._functions[e].signature,t),{})}getCompilationKey(t,e){let n=t.map(s=>s.name).sort(),o=e.map(s=>s.name).sort();return n.join(this.SEPERATOR)+"--"+o.join(this.SEPERATOR)}compile(t,e){let n=uN(t,e,this.weightMap,this._initNodes),{missingInputs:o,dynamicNode:s,syncInputs:i}=n;if(s!=null)throw new Error(`This execution contains the node '${s.name}', which has the dynamic op '${s.op}'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs [${i}]`);if(o.length>0){let a=e.map(l=>l.name),u=Object.keys(t);throw new Error(`Cannot compute the outputs [${a}] from the provided inputs [${u}]. Missing the following inputs: [${o}]`)}return rR(this.graph,this.weightMap,n)}execute(t,e){t=this.mapInputs(t);let n=Object.keys(t).sort();this.checkInputs(t),this.checkInputShapeAndType(t),e=this.mapOutputs(e),this.checkOutputs(e);let o=n.map(p=>this.graph.nodes[gn(p)[0]]),s=e.map(p=>gn(p)[0]),i=s.map(p=>this.graph.nodes[p]);this.resetIntermediateTensors(),i.length===0&&(i=this._outputs);let a=this.getCompilationKey(o,i),u=this.compiledMap.get(a);u==null&&(u=this.compile(t,i),this.compiledMap.set(a,u));let l={},c={};return B(()=>{let p=new Ah(this.weightMap,l,c,this.functionExecutorMap),m=Object.assign({},this.weightMap);Object.keys(t).forEach(h=>{let[g,x]=gn(h),b=[];b[x]=t[h],m[g]=b});let f=this.getFrozenTensorIds(m),d={};for(let h=0;hyr(h,m,p))})}getFrozenTensorIds(t){let e=[].concat.apply([],Object.keys(t).map(n=>t[n]).map(n=>n.map(o=>o.id)));return new Set(e)}checkTensorForDisposal(t,e,n,o,s,i,a){e.category==="control"||i.indexOf(t)!==-1||(n[t].forEach(u=>{u!=null&&(a[u.id]=(a[u.id]||0)+e.children.length)}),e.inputs.forEach(u=>{if(u.category!=="control"){let l=TD(u.name,n,o);l!=null&&l.forEach(c=>{if(c&&!c.kept&&!s.has(c.id)){let p=a[c.id];if(p===1){if(!this.keepTensorForDebug)c.dispose();else{let[m,f]=Eo(e.name,o);this.intermediateTensors[m]?this.intermediateTensors[m][f]=c:(this.intermediateTensors[m]=[],this.intermediateTensors[m][f]=c)}delete a[c.id]}else p!=null&&a[c.id]--}})}}))}async executeAsync(t,e){return this._executeAsync(t,e)}disposeIntermediateTensors(){!this.intermediateTensors||(Object.keys(this.intermediateTensors).forEach(t=>this.intermediateTensors[t].forEach(e=>e.dispose())),this.disposeTensorsMap())}disposeTensorsMap(){!this.tensorsMap||Object.keys(this.tensorsMap).forEach(t=>{this.tensorsMap[t].forEach(n=>{n&&!n.kept&&!n.isDisposed&&!this.keepIds.has(n.id)&&n.dispose()})})}getIntermediateTensors(){return this.tensorsMap}resetIntermediateTensors(){for(let t in this.intermediateTensors)this.intermediateTensors[t].forEach(e=>e.dispose()),delete this.intermediateTensors[t]}async _executeAsync(t,e,n=!1,o={},s={}){n||(t=this.mapInputs(t),this.checkInputs(t),this.checkInputShapeAndType(t),e=this.mapOutputs(e),this.checkOutputs(e));try{this.keepTensorForDebug=M().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(c){console.warn(c.message)}this.resetIntermediateTensors();let i=new Ah(this.weightMap,o,s,this.functionExecutorMap);this.tensorsMap=await this.executeWithControlFlow(t,i,e,n);let a=e.map(c=>yr(c,this.tensorsMap,i)),u=a.map(c=>c.id),l=Object.keys(t).map(c=>t[c].id);return this.keepIds=new Set([...u,...l,...this.weightIds]),this.keepTensorForDebug||this.disposeTensorsMap(),this.parent==null&&i.dispose(this.keepIds),a}async executeFunctionAsync(t,e,n){let o=t.reduce((s,i,a)=>(s[this.inputs[a].name]=i,s),{});return this._executeAsync(o,this.outputNodes,!0,e,n)}async executeWithControlFlow(t,e,n,o){let s=Object.keys(t),i=s.map(w=>this.graph.nodes[gn(w)[0]]),a=n.map(w=>gn(w)[0]),u=a.map(w=>this.graph.nodes[w]);u.length===0&&(u=this._outputs);let{usedNodes:l,missingInputs:c,dynamicNode:p,syncInputs:m}=uN(t,u,this.weightMap,this._initNodes),f=[...i,...this.graph.weights,...this._initNodes||[]].map(w=>({node:w,contexts:e.currentContext})),d=Object.assign({},this.weightMap);Object.keys(t).forEach(w=>{let[C,N]=gn(w),_=[];_[N]=t[w],d[C]=_});let h={},g=this.getFrozenTensorIds(d),x={};for(;f.length>0;){let w=this.processStack(i,f,e,d,x,g,a,h,l);await Promise.all(w)}p==null&&!o&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead.");let b=u.filter(w=>!cN(w)&&!yr(w.name,d,e)).map(w=>w.name);if(b.length>0){let w="";throw p!=null&&(w=`Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs [${m}]`),new Error(`Cannot compute the outputs [${b}] from the provided inputs [${s}]. Consider providing the following inputs: [${c}]. ${w}`)}return d}processStack(t,e,n,o,s,i,a,u,l){let c=[];for(;e.length>0;){let p=e.pop();n.currentContext=p.contexts;let m="";if(p.node.op==="Enter"&&v("isConstant",p.node,o,n)&&([m]=Eo(p.node.name,n)),o[p.node.name]==null){let f=lN(p.node,o,n,this._resourceManager);m||([m]=Eo(p.node.name,n));let d=n.currentContext;y.isPromise(f)?c.push(f.then(h=>(o[m]=h,n.currentContext=d,this.checkTensorForDisposal(m,p.node,o,n,i,a,u),this.processChildNodes(p.node,e,n,o,s,l),h))):(o[m]=f,this.checkTensorForDisposal(m,p.node,o,n,i,a,u),this.processChildNodes(p.node,e,n,o,s,l))}else this.processChildNodes(p.node,e,n,o,s,l)}return c}processChildNodes(t,e,n,o,s,i){t.children.forEach(a=>{let[u]=Eo(a.name,n);s[u]||!i.has(a.name)||(a.op==="Merge"?a.inputNames.some(l=>!!yr(l,o,n))&&(s[u]=!0,e.push({contexts:n.currentContext,node:a})):a.inputNames.every(l=>!!yr(l,o,n))&&(s[u]=!0,e.push({contexts:n.currentContext,node:a})))})}dispose(){Object.keys(this.weightMap).forEach(t=>this.weightMap[t].forEach(e=>e.dispose()))}checkInputShapeAndType(t){Object.keys(t).forEach(e=>{let n=t[e],[o]=gn(e),s=this.graph.nodes[o];if(s.attrParams.shape&&s.attrParams.shape.value){let i=s.attrParams.shape.value,a=i.length===n.shape.length&&n.shape.every((u,l)=>i[l]===-1||i[l]===u);y.assert(a,()=>`The shape of dict['${s.name}'] provided in model.execute(dict) must be [${i}], but was [${n.shape}]`)}s.attrParams.dtype&&s.attrParams.dtype.value&&y.assert(n.dtype===s.attrParams.dtype.value,()=>`The dtype of dict['${s.name}'] provided in model.execute(dict) must be ${s.attrParams.dtype.value}, but was ${n.dtype}`)})}mapInputs(t){let e={};for(let n in t)if(this._signature!=null&&this._signature.inputs!=null&&this._signature.inputs[n]!=null){let o=this._signature.inputs[n];e[o.name]=t[n]}else e[n]=t[n];return e}checkInputs(t){let e=Object.keys(t).filter(n=>{let[o]=gn(n);return this.graph.nodes[o]==null});if(e.length>0)throw new Error(`The dict provided in model.execute(dict) has keys: [${e}] that are not part of graph`)}mapOutputs(t){return t.map(e=>this._signature!=null&&this._signature.outputs!=null&&this._signature.outputs[e]!=null?this._signature.outputs[e].name:e,{})}checkOutputs(t){t.forEach(e=>{let[n]=gn(e);if(!this.graph.nodes[n])throw new Error(`The output '${e}' is not found in the graph`)})}};var Pb=class{constructor(t={},e={}){this.hashTableNameToHandle=t,this.hashTableMap=e}addHashTable(t,e){this.hashTableNameToHandle[t]=e.handle,this.hashTableMap[e.id]=e}getHashTableHandleByName(t){return this.hashTableNameToHandle[t]}getHashTableById(t){return this.hashTableMap[t]}dispose(){for(let t in this.hashTableMap)this.hashTableMap[t].clearAndClose(),delete this.hashTableMap[t];for(let t in this.hashTableNameToHandle)this.hashTableNameToHandle[t].dispose(),delete this.hashTableNameToHandle[t]}};var w7="?tfjs-format=file",C7="model.json",$h=class{constructor(t,e={},n=Er){this.modelUrl=t,this.loadOptions=e,this.version="n/a",this.io=n,e==null&&(this.loadOptions={}),this.resourceManager=new Pb}get modelVersion(){return this.version}get inputNodes(){return this.executor.inputNodes}get outputNodes(){return this.executor.outputNodes}get inputs(){return this.executor.inputs}get outputs(){return this.executor.outputs}get weights(){return this.executor.weightMap}get metadata(){return this.artifacts.userDefinedMetadata}get modelSignature(){return this.signature}get modelStructuredOutputKeys(){return this.structuredOutputKeys}findIOHandler(){let t=this.modelUrl;if(t.load!=null)this.handler=t;else if(this.loadOptions.requestInit!=null)this.handler=this.io.browserHTTPRequest(t,this.loadOptions);else{let e=this.io.getLoadHandlers(t,this.loadOptions);if(e.length===0)e.push(this.io.browserHTTPRequest(t,this.loadOptions));else if(e.length>1)throw new Error(`Found more than one (${e.length}) load handlers for URL '${[t]}'`);this.handler=e[0]}}load(){if(this.findIOHandler(),this.handler.load==null)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let t=this.handler.load();return y.isPromise(t)?t.then(e=>this.loadSync(e)):this.loadSync(t)}loadSync(t){this.artifacts=t;let e=this.artifacts.modelTopology,n=this.artifacts.signature;if(this.artifacts.userDefinedMetadata!=null){let s=this.artifacts.userDefinedMetadata;s.signature!=null&&(n=s.signature),s.structuredOutputKeys!=null&&(this.structuredOutputKeys=s.structuredOutputKeys)}this.signature=n,this.version=`${e.versions.producer}.${e.versions.minConsumer}`;let o=this.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new Nc(_h.Instance.transformGraph(e,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(o),this.executor.resourceManager=this.resourceManager,t.modelInitializer!=null&&t.modelInitializer.node!=null){let s=_h.Instance.transformGraph(t.modelInitializer);this.initializer=new Nc(s),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializer.executeAsync({},[])}return!0}async save(t,e){if(typeof t=="string"){let n=this.io.getSaveHandlers(t);if(n.length===0)throw new Error(`Cannot find any save handlers for URL '${t}'`);if(n.length>1)throw new Error(`Found more than one (${n.length}) save handlers for URL '${t}'`);t=n[0]}if(t.save==null)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return t.save(this.artifacts)}predict(t,e){let n=this.execute(t,this.outputNodes);if(this.structuredOutputKeys){let o=n instanceof Ft?[n]:n,s={};return o.forEach((i,a)=>s[this.structuredOutputKeys[a]]=i),s}return n}normalizeInputs(t){if(!(t instanceof Ft)&&!Array.isArray(t))return t;if(t=Array.isArray(t)?t:[t],t.length!==this.inputNodes.length)throw new Error(`Input tensor count mismatch,the graph model has ${this.inputNodes.length} placeholders, while there are ${t.length} input tensors.`);return this.inputNodes.reduce((e,n,o)=>(e[n]=t[o],e),{})}normalizeOutputs(t){return t=t||this.outputNodes,Array.isArray(t)?t:[t]}execute(t,e){t=this.normalizeInputs(t),e=this.normalizeOutputs(e);let n=this.executor.execute(t,e);return n.length>1?n:n[0]}async executeAsync(t,e){t=this.normalizeInputs(t),e=this.normalizeOutputs(e);let n=await this.executor.executeAsync(t,e);return n.length>1?n:n[0]}getIntermediateTensors(){return this.executor.getIntermediateTensors()}disposeIntermediateTensors(){this.executor.disposeIntermediateTensors()}convertTensorMapToTensorsMap(t){return Object.keys(t).reduce((e,n)=>(e[n]=[t[n]],e),{})}dispose(){this.executor.dispose(),this.initializer&&this.initializer.dispose(),this.resourceManager.dispose()}};async function I7(r,t={},e=Er){if(r==null)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");t==null&&(t={}),t.fromTFHub&&typeof r=="string"&&(r=S7(r));let n=new $h(r,t,e);return await n.load(),n}function v7(r){if(r==null)throw new Error("modelUrl in loadGraphModelSync() cannot be null. Please provide model artifacts or an IOHandler that loads the model");let t;if(r instanceof Array){let[n,o]=r;if(!n)throw new Error("modelJSON must be the first element of the array");if(!o||!(o instanceof ArrayBuffer))throw new Error("An ArrayBuffer of weights must be the second element of the array");if(!("modelTopology"in n))throw new Error("Model JSON is missing 'modelTopology'");if(!("weightsManifest"in n))throw new Error("Model JSON is missing 'weightsManifest'");let s=Er.getWeightSpecs(n.weightsManifest),i=Er.getModelArtifactsForJSONSync(n,s,o);t=Er.fromMemorySync(i)}else if("load"in r)t=r;else if("modelTopology"in r&&"weightSpecs"in r&&"weightData"in r)t=Er.fromMemorySync(r);else throw new Error("Unknown model format");let e=new $h(t);return e.load(),e}function S7(r){return r.endsWith("/")||(r=r+"/"),`${r}${C7}${w7}`}var nR="3.21.0";var vR={};Gt(vR,{CSVDataset:()=>Kf,Dataset:()=>Ys,FileDataSource:()=>Jf,TextLineDataset:()=>qf,URLDataSource:()=>Qf,array:()=>fR,csv:()=>yR,func:()=>bR,generator:()=>wR,microphone:()=>IR,version_data:()=>$N,webcam:()=>CR,zip:()=>dR});var mR=Sl(lh());var uR=Sl(lh());function oR(r,t){return Lb(r,t)}function Lb(r,t,e=new Map,n=new Set){if(r==null)return null;if(typeof Blob=="function"&&r instanceof Blob)return r.slice();if(n.has(r))throw new Error("Circular references are not supported.");if(e.has(r))return e.get(r);let o=t(r);if(o.recurse&&o.value!==null)throw new Error("A deep map function may not return both a value and recurse=true.");if(o.recurse)if(vu(r)){let s=Array.isArray(r)?[]:{};n.add(r);for(let i in r){let a=r[i],u=Lb(a,t,e,n);s[i]=u}return n.delete(r),r.__proto__&&(s.__proto__=r.__proto__),s}else throw new Error(`Can't recurse into non-iterable type: ${r}`);else return e.set(r,o.value),o.value}function sR(r,t=mN){return iR(r,t)}function iR(r,t,e=new Set){let n=r[0];if(e.has(n))throw new Error("Circular references are not supported.");let o=t(r);if(o.recurse&&o.value!==null)throw new Error("A deep zip function may not return both a value and recurse=true.");if(o.recurse)if(vu(n)){let s=Array.isArray(n)?[]:{};e.add(n);for(let i in n){let a=r.map(l=>l[i]),u=iR(a,t,e);s[i]=u}return e.delete(n),s}else throw new Error(`Can't recurse into non-iterable type: ${n}`);else return o.value}function mN(r){return r===null?null:vu(r[0])?{value:null,recurse:!0}:{value:r,recurse:!1}}async function Mb(r,t){let e=new Map;Lb(r,t,e);for(let o of Array.from(e.keys())){let s=e.get(o);if(y.isPromise(s)){let i=await s;e.set(o,i)}}return Lb(r,t,e)}function vu(r){let t=!1;if(M().get("IS_BROWSER"))t=r instanceof TextDecoder;else{let{StringDecoder:e}=pN();t=r instanceof e}return r!=null&&!ArrayBuffer.isView(r)&&(Array.isArray(r)||typeof r=="object"&&!(r instanceof Ft)&&!(r instanceof Promise)&&!t)}function aR(r){return r==null||N7(r)||Array.isArray(r)||typeof r=="object"&&r instanceof Ft||y.isTypedArray(r)}function N7(r){return r===null||typeof r!="object"&&typeof r!="function"}function lR(r){return oR(r,k7)}function k7(r){return r instanceof Ft?{value:r.clone(),recurse:!1}:vu(r)?{value:null,recurse:!0}:{value:r,recurse:!1}}var Hf=class{constructor(t){if(this.capacity=t,this.begin=0,this.end=0,t==null)throw new RangeError("Can't create a ring buffer of unknown capacity.");if(t<1)throw new RangeError("Can't create ring buffer of capacity < 1.");this.data=new Array(t),this.doubledCapacity=2*t}wrap(t){for(;t<0;)t+=this.doubledCapacity;return t%this.doubledCapacity}get(t){if(t<0)throw new RangeError("Can't get item at a negative index.");return this.data[t%this.capacity]}set(t,e){if(t<0)throw new RangeError("Can't set item at a negative index.");this.data[t%this.capacity]=e}length(){let t=this.end-this.begin;return t<0&&(t=this.doubledCapacity+t),t}isFull(){return this.length()===this.capacity}isEmpty(){return this.length()===0}push(t){if(this.isFull())throw new RangeError("Ring buffer is full.");this.set(this.end,t),this.end=this.wrap(this.end+1)}pushAll(t){for(let e of t)this.push(e)}pop(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");this.end=this.wrap(this.end-1);let t=this.get(this.end);return this.set(this.end,void 0),t}unshift(t){if(this.isFull())throw new RangeError("Ring buffer is full.");this.begin=this.wrap(this.begin-1),this.set(this.begin,t)}shift(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");let t=this.get(this.begin);return this.set(this.begin,void 0),this.begin=this.wrap(this.begin+1),t}shuffleExcise(t){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");let e=this.wrap(this.begin+t),n=this.get(e);return this.set(e,this.pop()),n}};var kc=class extends Hf{constructor(){super(kc.INITIAL_CAPACITY)}isFull(){return!1}push(t){super.isFull()&&this.expand(),super.push(t)}unshift(t){super.isFull()&&this.expand(),super.unshift(t)}expand(){let t=this.capacity*2,e=new Array(t),n=this.length();for(let o=0;oe===!0)}rowMajorBatch(t,e=!0){return new yN(this,t,e)}columnMajorBatch(t,e=!0,n=mN){return this.rowMajorBatch(t,e).map(s=>sR(s,n))}concatenate(t,e){return new Bb(NN([this,t]),e)}take(t){return t<0||t==null?this:new xN(this,t)}skip(t){return t<0||t==null?this:new gN(this,t)}prefetch(t){return new Vb(this,t)}shuffle(t,e){return new SN(this,t,e)}serial(){return new hN(this)}},fN=class extends Je{constructor(t){super(),this.items=t,this.trav=0}summary(){return`Array of ${this.items.length} items`}async next(){if(this.trav>=this.items.length)return{value:null,done:!0};let t=this.items[this.trav];return this.trav++,{value:lR(t),done:!1}}},dN=class extends Je{constructor(t){super(),this.nextFn=t}summary(){return"Function call"}async next(){try{return this.nextFn()}catch(t){throw t.message=`Error thrown while iterating through a dataset: ${t.message}`,t}}},hN=class extends Je{constructor(t){super(),this.upstream=t,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Serial`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){return this.upstream.next()}},gN=class extends Je{constructor(t,e){super(),this.upstream=t,this.maxCount=e,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Skip`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.count++ Take`}async next(){return this.count++>=this.maxCount?{value:null,done:!0}:this.upstream.next()}},yN=class extends Je{constructor(t,e,n=!0){super(),this.upstream=t,this.batchSize=e,this.enableSmallLastBatch=n,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> RowMajorBatch`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){let t=[];for(;t.length0?{value:t,done:!1}:{value:null,done:!0};t.push(e.value)}return{value:t,done:!1}}},bN=class extends Je{constructor(t,e){super(),this.upstream=t,this.predicate=e,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Filter`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;){let t=await this.upstream.next();if(t.done||this.predicate(t.value))return t;St(t.value)}}},wN=class extends Je{constructor(t,e){super(),this.upstream=t,this.transform=e}summary(){return`${this.upstream.summary()} -> Map`}async next(){let t=await this.upstream.next();if(t.done)return{value:null,done:!0};let e=fo.getTensorsInContainer(t.value),n=this.transform(t.value),o=fo.getTensorsInContainer(n);for(let s of e)fo.isTensorInList(s,o)||s.dispose();return{value:n,done:!1}}},CN=class extends Je{constructor(t,e){super(),this.upstream=t,this.handler=e,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> handleErrors`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;)try{return await this.upstream.next()}catch(t){if(!this.handler(t))return{value:null,done:!0}}}},zb=class extends Je{constructor(t,e){super(),this.upstream=t,this.transform=e}summary(){return`${this.upstream.summary()} -> AsyncMap`}async next(){let t=await this.upstream.next();if(t.done)return{value:null,done:!0};let e=fo.getTensorsInContainer(t.value),n=await this.transform(t.value),o=fo.getTensorsInContainer(n);for(let s of e)fo.isTensorInList(s,o)||s.dispose();return{value:n,done:!1}}},Tc=class extends Je{constructor(){super(),this.outputQueue=new kc,this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.outputQueue.length()===0;)if(!await this.pump())return{value:null,done:!0};return{value:this.outputQueue.shift(),done:!1}}},IN=class extends Tc{constructor(t,e){super(),this.upstream=t,this.transform=e}summary(){return`${this.upstream.summary()} -> Flatmap`}async pump(){let t=await this.upstream.next();if(t.done)return!1;let e=fo.getTensorsInContainer(t.value),n=this.transform(t.value),o=fo.getTensorsInContainer(n);this.outputQueue.pushAll(n);for(let s of e)fo.isTensorInList(s,o)||s.dispose();return!0}},Bb=class extends Je{constructor(t,e){super(),this.baseErrorHandler=e,this.lastRead=null,this.iterator=null,this.moreIterators=t}summary(){return"TODO: fill in upstream of chained summaries -> Chained"}async next(){return this.lastRead=this.readFromChain(this.lastRead),this.lastRead}async readFromChain(t){if(await t,this.iterator==null){let n=await this.moreIterators.next();if(n.done)return{value:null,done:!0};this.iterator=n.value,this.baseErrorHandler!=null&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler))}let e=await this.iterator.next();return e.done?(this.iterator=null,this.readFromChain(t)):e}},pl;(function(r){r[r.FAIL=0]="FAIL",r[r.SHORTEST=1]="SHORTEST",r[r.LONGEST=2]="LONGEST"})(pl||(pl={}));var vN=class extends Je{constructor(t,e=pl.FAIL){super(),this.iterators=t,this.mismatchMode=e,this.count=0,this.currentPromise=null}summary(){return"{TODO: fill in upstream of zip summaries} -> Zip"}async nextState(t){await t;let e=0,n=0;function o(i){return i instanceof Je?{value:i.next().then(u=>(e++,u.done&&n++,u.value)),recurse:!1}:{value:null,recurse:!0}}let s=await Mb(this.iterators,o);if(e===n)return{value:null,done:!0};if(n>0)switch(this.mismatchMode){case pl.FAIL:throw new Error(`Zipped streams should have the same length. Mismatched at element ${this.count}.`);case pl.SHORTEST:return{value:null,done:!0};case pl.LONGEST:default:}return this.count++,{value:s,done:!1}}async next(){return this.currentPromise=this.nextState(this.currentPromise),this.currentPromise}},Vb=class extends Je{constructor(t,e){super(),this.upstream=t,this.bufferSize=e,this.buffer=new Hf(e)}summary(){return`${this.upstream.summary()} -> Prefetch`}refill(){for(;!this.buffer.isFull();){let t=this.upstream.next();this.buffer.push(t)}}next(){return this.refill(),this.buffer.shift()}},SN=class extends Vb{constructor(t,e,n){super(t,e),this.upstream=t,this.windowSize=e,this.upstreamExhausted=!1,this.random=uR.alea(n||y.now().toString()),this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}randomInt(t){return Math.floor(this.random()*t)}chooseIndex(){return this.randomInt(this.buffer.length())}async serialNext(){for(this.upstreamExhausted||this.refill();!this.buffer.isEmpty();){let t=this.chooseIndex(),e=await this.buffer.shuffleExcise(t);if(e.done)this.upstreamExhausted=!0;else return this.refill(),e}return{value:null,done:!0}}};var Ys=class{constructor(){this.size=null}batch(t,e=!0){let n=this;y.assert(t>0,()=>`batchSize needs to be positive, but it is - ${t}`);let o;return this.size===1/0||this.size==null?o=this.size:e?o=Math.ceil(this.size/t):o=Math.floor(this.size/t),kn(async()=>(await n.iterator()).columnMajorBatch(t,e,T7),o)}concatenate(t){let e=this,n;return this.size===1/0||t.size===1/0?n=1/0:this.size!=null&&t.size!=null?n=this.size+t.size:n=null,kn(async()=>(await e.iterator()).concatenate(await t.iterator()),n)}filter(t){let e=this,n;return this.size===1/0?n=1/0:n=null,kn(async()=>(await e.iterator()).filter(o=>B(()=>t(o))),n)}async forEachAsync(t){return(await this.iterator()).forEachAsync(t)}map(t){let e=this;return kn(async()=>(await e.iterator()).map(n=>B(()=>t(n))),this.size)}mapAsync(t){let e=this;return kn(async()=>(await e.iterator()).mapAsync(t),this.size)}prefetch(t){if(t==null)throw new RangeError("`Dataset.prefetch()` requires bufferSize to be specified.");let e=this;return kn(async()=>(await e.iterator()).prefetch(t),this.size)}repeat(t){let e=this,n;return this.size!=null&&t>0?n=this.size*t:t===0?n=0:this.size!=null&&(t===void 0||t<0)?n=1/0:n=null,kn(async()=>{let o=Dh(async()=>({value:await e.iterator(),done:!1}));return cR(o.take(t))},n)}skip(t){let e=this,n;return this.size!=null&&t>=0&&this.size>=t?n=this.size-t:this.size!=null&&(this.size(await e.iterator()).skip(t),n)}shuffle(t,e,n=!0){if(t==null||t<0)throw this.size==null?new RangeError("`Dataset.shuffle()` requires bufferSize to be specified."):new RangeError(`\`Dataset.shuffle()\` requires bufferSize to be specified. If your data fits in main memory (for regular JS objects), and/or GPU memory (for \`tf.Tensor\`s), consider setting bufferSize to the dataset size (${this.size} elements)`);let o=this,s=mR.alea(e||y.now().toString());return kn(async()=>{let i=s.int32();return n&&(i+=s.int32()),(await o.iterator()).shuffle(t,i.toString())},this.size)}take(t){let e=this,n;return this.size!=null&&this.size>t?n=t:this.size!=null&&this.size<=t?n=this.size:n=null,kn(async()=>(await e.iterator()).take(t),n)}async toArray(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArray()}async toArrayForTest(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArrayForTest()}};Ys.MAX_BUFFER_SIZE=1e4;function kn(r,t=null){return new class extends Ys{constructor(){super(...arguments),this.size=t}async iterator(){return r()}}}function fR(r){return kn(async()=>NN(r),r.length)}function dR(r){if(!vu(r))throw new Error("The argument to zip() must be an object or array.");let t;if(Array.isArray(r))for(let e=0;e{let e=await Mb(r,n=>{if(n instanceof Ys)return{value:n.iterator(),recurse:!1};if(vu(n))return{value:null,recurse:!0};throw new Error("Leaves of the structure passed to zip() must be Datasets, not primitives.")});return pR(e,pl.SHORTEST)},t)}function T7(r){if(r===null)return null;let t=r[0];return aR(t)?{value:E7(r),recurse:!1}:{value:null,recurse:!0}}function E7(r){if(r.length===0)throw new Error("Can't make a batch of zero elements.");return r[0]instanceof Ft?rr(r):wr(r)}var qf=class extends Ys{constructor(t){super(),this.input=t}async iterator(){return(await this.input.iterator()).decodeUTF8().split(` -`).map(o=>(o.endsWith("\r")&&(o=o.slice(0,-1)),o))}};var Gb='"',Rh=Symbol("out"),hR=Symbol("field"),Wb=Symbol("quote"),kN=Symbol("quoteafterquote"),gR=Symbol("quoteinquote"),Kf=class extends Ys{constructor(t,e){super(),this.input=t,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=",",this.delimWhitespace=!1,this.base=new qf(t),e||(e={}),this.hasHeader=e.hasHeader!==!1,this.fullColumnNames=e.columnNames,this.columnConfigs=e.columnConfigs,this.configuredColumnsOnly=e.configuredColumnsOnly,e.delimWhitespace?(y.assert(e.delimiter==null,()=>"Delimiter should not be provided when delimWhitespace is true."),this.delimWhitespace=!0,this.delimiter=" "):this.delimiter=e.delimiter?e.delimiter:","}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){let t=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!t)throw new Error("Column names must be provided if there is no header line.");this.fullColumnNames&&t&&y.assert(t.length===this.fullColumnNames.length,()=>"The length of provided columnNames ("+this.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+t.length.toString()+")."),this.fullColumnNames||(this.fullColumnNames=t);let e=this.fullColumnNames.reduce((o,s)=>(o[s]=o[s]+1||1,o),{}),n=Object.keys(e).filter(o=>e[o]>1);if(y.assert(n.length===0,()=>"Duplicate column names found: "+n.toString()),this.columnConfigs){for(let o of Object.keys(this.columnConfigs))if(this.fullColumnNames.indexOf(o)===-1)throw new Error('The key "'+o+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").")}this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){let e=await(await this.base.iterator()).next();if(e.done)throw new Error("No data was found for CSV parsing.");let n=e.value;return this.parseRow(n,!1)}else return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let t=await this.base.iterator();return this.hasHeader&&(t=t.skip(1)),t.map(e=>this.makeDataElement(e))}makeDataElement(t){let e=this.parseRow(t),n={},o={};for(let s=0;s14||!Number.isInteger(e))throw new Error(`Invalid fftSize: it must be a power of 2 between 2 to 4 and 2 to 14, but got ${this.fftSize}`);if(this.numFrames=t.numFramesPerSpectrogram||43,this.sampleRateHz=t.sampleRateHz,this.columnTruncateLength=t.columnTruncateLength||this.fftSize,this.audioTrackConstraints=t.audioTrackConstraints,this.smoothingTimeConstant=t.smoothingTimeConstant||0,this.includeSpectrogram=t.includeSpectrogram!==!1,this.includeWaveform=t.includeWaveform===!0,!this.includeSpectrogram&&!this.includeWaveform)throw new Error("Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.")}summary(){return"microphone"}static async create(t={}){if(!M().get("IS_BROWSER"))throw new Error("microphone API is only supported in browser environment.");let e=new jf(t);return await e.start(),e}async start(){try{this.stream=await navigator.mediaDevices.getUserMedia({audio:this.audioTrackConstraints==null?!0:this.audioTrackConstraints,video:!1})}catch(n){throw new Error(`Error thrown while initializing video stream: ${n.message}`)}if(!this.stream)throw new Error("Could not obtain audio from microphone.");let t=window.AudioContext||window.webkitAudioContext;if(this.audioContext=new t,!this.sampleRateHz)this.sampleRateHz=this.audioContext.sampleRate;else if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error(`Mismatch in sampling rate: Expected: ${this.sampleRateHz}; Actual: ${this.audioContext.sampleRate}`);let e=this.audioContext.createMediaStreamSource(this.stream);this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=this.fftSize*2,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,e.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize)}async next(){if(this.isClosed)return{value:null,done:!0};let t,e,n=await this.getAudioData();if(this.includeSpectrogram){let o=this.flattenQueue(n.freqDataQueue);t=this.getTensorFromAudioDataArray(o,[this.numFrames,this.columnTruncateLength,1])}if(this.includeWaveform){let o=this.flattenQueue(n.timeDataQueue);e=this.getTensorFromAudioDataArray(o,[this.numFrames*this.fftSize,1])}return{value:{spectrogram:t,waveform:e},done:!1}}async capture(){return(await this.next()).value}async getAudioData(){let t=[],e=[],n=0;return new Promise(o=>{let s=setInterval(()=>{this.includeSpectrogram&&(this.analyser.getFloatFrequencyData(this.freqData),this.freqData[0]===-1/0&&o({freqDataQueue:t,timeDataQueue:e}),t.push(this.freqData.slice(0,this.columnTruncateLength))),this.includeWaveform&&(this.analyser.getFloatTimeDomainData(this.timeData),e.push(this.timeData.slice())),++n===this.numFrames&&(clearInterval(s),o({freqDataQueue:t,timeDataQueue:e}))},this.fftSize/this.sampleRateHz*1e3)})}stop(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),this.stream!=null&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())}toArray(){throw new Error("Can not convert infinite audio stream to array.")}getSampleRate(){return this.sampleRateHz}flattenQueue(t){let e=t[0].length,n=new Float32Array(t.length*e);return t.forEach((o,s)=>n.set(o,s*e)),n}getTensorFromAudioDataArray(t,e){let n=new Float32Array(y.sizeFromShape(e));return n.set(t,n.length-t.length),wr(n,e)}};var Xf=class extends Je{constructor(t,e){if(super(),this.webcamVideoElement=t,this.webcamConfig=e,this.isClosed=!0,this.resize=!1,this.needToResize())if(this.resize=!0,this.cropSize=[this.webcamConfig.resizeHeight,this.webcamConfig.resizeWidth],this.cropBoxInd=Le([0],"int32"),this.webcamConfig.centerCrop){let n=this.webcamConfig.resizeWidth*1/this.webcamVideoElement.width,o=this.webcamConfig.resizeHeight*1/this.webcamVideoElement.height,s=(1-n)/2,i=(1-o)/2,a=s+n,u=o+i;this.cropBox=Bs([i,s,u,a],[1,4])}else this.cropBox=Bs([0,0,1,1],[1,4])}summary(){return"webcam"}static async create(t,e={}){if(!M().get("IS_BROWSER"))throw new Error("tf.data.webcam is only supported in browser environment.");if(!t){if(t=document.createElement("video"),!e.resizeWidth||!e.resizeHeight)throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");t.width=e.resizeWidth,t.height=e.resizeHeight}let n=new Xf(t,e);return await n.start(),n}async start(){this.webcamConfig.facingMode&&y.assert(this.webcamConfig.facingMode==="user"||this.webcamConfig.facingMode==="environment",()=>`Invalid webcam facing mode: ${this.webcamConfig.facingMode}. Please provide 'user' or 'environment'`);try{this.stream=await navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:"user",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}})}catch(t){throw t.message=`Error thrown while initializing video stream: ${t.message}`,t}if(!this.stream)throw new Error("Could not obtain video from webcam.");try{this.webcamVideoElement.srcObject=this.stream}catch(t){console.log(t),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,new Promise(t=>{this.webcamVideoElement.onloadedmetadata=()=>{t()}})}async next(){if(this.isClosed)return{value:null,done:!0};let t;try{t=Jg.fromPixels(this.webcamVideoElement)}catch(e){throw new Error(`Error thrown converting video to pixels: ${JSON.stringify(e)}`)}if(this.resize)try{return{value:this.cropAndResizeFrame(t),done:!1}}catch(e){throw new Error(`Error thrown cropping the video: ${e.message}`)}finally{t.dispose()}else return{value:t,done:!1}}needToResize(){return!!(this.webcamConfig.resizeWidth&&this.webcamConfig.resizeHeight&&(this.webcamVideoElement.width!==this.webcamConfig.resizeWidth||this.webcamVideoElement.height!==this.webcamConfig.resizeHeight))}cropAndResizeFrame(t){return B(()=>{let e=gr(J(t,"float32"),0),n;n=lu.cropAndResize(e,this.cropBox,this.cropBoxInd,this.cropSize,"bilinear");let o=n.shape;return D(n,o.slice(1))})}async capture(){return(await this.next()).value}stop(){this.stream.getTracks().forEach(e=>e.stop());try{this.webcamVideoElement.srcObject=null}catch(e){console.log(e),this.webcamVideoElement.src=null}this.isClosed=!0}toArray(){throw new Error("Can not convert infinite video stream to array.")}};var Yf=class{};var Fh=class extends Je{split(t){return new TN(this,t)}},TN=class extends Fh{constructor(t,e){super(),this.upstream=t,this.impl=new EN(t,e)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},EN=class extends Tc{constructor(t,e){super(),this.upstream=t,this.separator=e,this.carryover=""}summary(){return`${this.upstream.summary()} -> Split('${this.separator}')`}async pump(){let t=await this.upstream.next();if(t.done)return this.carryover===""?!1:(this.outputQueue.push(this.carryover),this.carryover="",!0);let e=t.value.split(this.separator);e[0]=this.carryover+e[0];for(let n of e.slice(0,-1))this.outputQueue.push(n);return this.carryover=e[e.length-1],!0}};var Ub=class extends Je{decodeUTF8(){return new _N(this)}},_N=class extends Fh{constructor(t){super(),this.upstream=t,this.impl=new AN(t)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},AN=class extends Tc{constructor(t){if(super(),this.upstream=t,M().get("IS_BROWSER"))this.decoder=new TextDecoder("utf-8");else{let{StringDecoder:e}=pN();this.decoder=new e("utf8")}}summary(){return`${this.upstream.summary()} -> Utf8`}async pump(){let t=await this.upstream.next(),e;if(t.done)return!1;e=t.value;let n;return M().get("IS_BROWSER")?n=this.decoder.decode(e,{stream:!0}):n=this.decoder.write(Buffer.from(e.buffer)),this.outputQueue.push(n),!0}};var Zf=class extends Ub{constructor(t,e={}){super(),this.file=t,this.options=e,y.assert(t instanceof Uint8Array||(M().get("IS_BROWSER")?t instanceof File||t instanceof Blob:!1),()=>"FileChunkIterator only supports File, Blob and Uint8Array right now."),this.offset=e.offset||0,this.chunkSize=e.chunkSize||1024*1024}summary(){return`FileChunks ${this.file}`}async next(){return this.offset>=(this.file instanceof Uint8Array?this.file.byteLength:this.file.size)?{value:null,done:!0}:{value:await new Promise((e,n)=>{let o=this.offset+this.chunkSize;if(this.file instanceof Uint8Array)e(new Uint8Array(this.file.slice(this.offset,o)));else{let s=new FileReader;s.onload=a=>{let u=s.result;if(u instanceof ArrayBuffer&&(u=new Uint8Array(u)),!(u instanceof Uint8Array))return n(new TypeError("FileReader returned unknown type."));e(u)},s.onabort=a=>n(new Error("Aborted")),s.onerror=a=>n(new Error(a.type));let i=this.file.slice(this.offset,o);s.readAsArrayBuffer(i)}this.offset=o}),done:!1}}};async function xR(r,t={},e){let n,o;typeof r=="string"?n=r:(n=r.url,o=_7(r));let s=await(e||y.fetch)(n,o);if(s.ok){let i=new Uint8Array(await s.arrayBuffer());return new Zf(i,t)}else throw new Error(s.statusText)}var _7=r=>({method:r.method,headers:r.headers,body:r.body,mode:r.mode,credentials:r.credentials,cache:r.cache,redirect:r.redirect,referrer:r.referrer,integrity:r.integrity});function Hb(r){return typeof r=="string"&&r.slice(0,7)==="file://"}var Jf=class extends Yf{constructor(t,e={}){super(),this.input=t,this.options=e}async iterator(){if(Hb(this.input)&&M().get("IS_NODE")){let t=qb();this.input=t.readFileSync(this.input.slice(7))}return new Zf(this.input,this.options)}};var Qf=class extends Yf{constructor(t,e={}){super(),this.url=t,this.fileOptions=e}async iterator(){return Hb(this.url)?new Jf(this.url,this.fileOptions).iterator():xR(this.url,this.fileOptions)}};function yR(r,t={}){return new Kf(new Qf(r),t)}function bR(r){let t=Dh(r);return kn(async()=>t)}function wR(r){return kn(async()=>{let t=await r();return Dh(()=>t.next())})}async function CR(r,t){return Xf.create(r,t)}async function IR(r){return jf.create(r)}var $N="3.21.0";function tt(r,t){Array.isArray(r)||(r=[r]),r.forEach(e=>{e!=null&&y.assert(e.dtype!=="complex64",()=>`${t} does not support complex64 tensors in the CPU backend.`)})}var A7=Wr.whereImpl,Su=class extends Mo{constructor(){super(),this.blockSize=48,this.firstUse=!0,this.data=new ta(this,ho())}nextDataId(){return Su.nextDataId++}write(t,e,n){this.firstUse&&(this.firstUse=!1,M().get("IS_NODE")&&S.warn(` + ${n}, and tensor's shape is: ${r.shape}`);let s=r.shape.slice(1),i=Mb(s,e),a=n===0?0:r.size/n,u=B(()=>{let c=[];r=R(r,[1,n,a]);for(let p=0;p{switch(r.op){case"If":case"StatelessIf":{let n=S("thenBranch",r,t,e),o=S("elseBranch",r,t,e),s=S("cond",r,t,e),i=S("args",r,t,e);return(await s.data())[0]?e.functionMap[n].executeFunctionAsync(i,e.tensorArrayMap,e.tensorListMap):e.functionMap[o].executeFunctionAsync(i,e.tensorArrayMap,e.tensorListMap)}case"While":case"StatelessWhile":{let n=S("body",r,t,e),o=S("cond",r,t,e),s=S("args",r,t,e),i=await e.functionMap[o].executeFunctionAsync(s,e.tensorArrayMap,e.tensorListMap),a=s.map(c=>c.id),u=await i[0].data();i.forEach(c=>{!c.kept&&a.indexOf(c.id)===-1&&c.dispose()});let l=s;for(;u[0];){let c=l;l=await e.functionMap[n].executeFunctionAsync(l,e.tensorArrayMap,e.tensorListMap);let p=l.map(f=>f.id);c.forEach(f=>{!f.kept&&a.indexOf(f.id)===-1&&p.indexOf(f.id)===-1&&f.dispose()});let m=await e.functionMap[o].executeFunctionAsync(l,e.tensorArrayMap,e.tensorListMap);u=await m[0].data(),m.forEach(f=>{!f.kept&&a.indexOf(f.id)===-1&&p.indexOf(f.id)===-1&&f.dispose()})}return l}case"LoopCond":{let n=S("pred",r,t,e);return[Zs(n)]}case"Switch":{let n=S("pred",r,t,e),o=S("data",r,t,e);return o.kept||(o=Zs(o)),(await n.data())[0]?[void 0,o]:[o,void 0]}case"Merge":{let n=r.inputNames.find(o=>br(o,t,e)!==void 0);if(n){let o=br(n,t,e);return[Zs(o)]}return}case"Enter":{let n=S("frameName",r,t,e),o=S("tensor",r,t,e);return e.enterFrame(n),[Zs(o)]}case"Exit":{let n=S("tensor",r,t,e);return e.exitFrame(),[Zs(n)]}case"NextIteration":{let n=S("tensor",r,t,e);return e.nextIteration(),[Zs(n)]}case"TensorArrayV3":{let n=S("size",r,t,e),o=S("dtype",r,t,e),s=S("elementShape",r,t,e),i=S("dynamicSize",r,t,e),a=S("clearAfterRead",r,t,e),u=S("identicalElementShapes",r,t,e),l=S("name",r,t,e),c=new zb(l,o,n,s,u,i,a);return e.addTensorArray(c),[c.idTensor,mt(1)]}case"TensorArrayWriteV3":{let n=S("tensorArrayId",r,t,e),o=S("index",r,t,e),s=S("tensor",r,t,e),i=e.getTensorArray(n.id);return i.write(o,s),[i.idTensor]}case"TensorArrayReadV3":{let n=S("tensorArrayId",r,t,e),o=S("index",r,t,e);return[e.getTensorArray(n.id).read(o)]}case"TensorArrayGatherV3":{let n=S("tensorArrayId",r,t,e),o=S("indices",r,t,e),s=S("dtype",r,t,e);return[e.getTensorArray(n.id).gather(o,s)]}case"TensorArrayScatterV3":{let n=S("tensorArrayId",r,t,e),o=S("indices",r,t,e),s=S("tensor",r,t,e),i=e.getTensorArray(n.id);return i.scatter(o,s),[i.idTensor]}case"TensorArrayConcatV3":{let n=S("tensorArrayId",r,t,e),o=e.getTensorArray(n.id),s=S("dtype",r,t,e);return[o.concat(s)]}case"TensorArraySplitV3":{let n=S("tensorArrayId",r,t,e),o=S("tensor",r,t,e),s=S("lengths",r,t,e),i=e.getTensorArray(n.id);return i.split(s,o),[i.idTensor]}case"TensorArraySizeV3":{let n=S("tensorArrayId",r,t,e),o=e.getTensorArray(n.id);return[mt(o.size(),"int32")]}case"TensorArrayCloseV3":{let n=S("tensorArrayId",r,t,e),o=e.getTensorArray(n.id);return o.clearAndClose(),[o.idTensor]}case"TensorListSetItem":{let n=S("tensorListId",r,t,e),o=S("index",r,t,e),s=S("tensor",r,t,e),i=e.getTensorList(n.id);return i.setItem(o,s),[i.idTensor]}case"TensorListGetItem":{let n=S("tensorListId",r,t,e),o=S("index",r,t,e),s=S("elementShape",r,t,e),i=S("elementDType",r,t,e);return[e.getTensorList(n.id).getItem(o,s,i)]}case"TensorListScatterV2":case"TensorListScatter":{let n=S("indices",r,t,e),o=S("tensor",r,t,e),s=S("elementShape",r,t,e),i=S("numElements",r,t,e),a=WD(o,n,s,i);return e.addTensorList(a),[a.idTensor]}case"TensorListReserve":case"EmptyTensorList":{let n=S("elementShape",r,t,e),o=S("elementDType",r,t,e),s;r.op==="TensorListReserve"?s="numElements":s="maxNumElements";let i=S(s,r,t,e),a=r.op==="TensorListReserve"?-1:i,u=GD(n,o,i,a);return e.addTensorList(u),[u.idTensor]}case"TensorListGather":{let n=S("tensorListId",r,t,e),o=S("indices",r,t,e),s=S("elementShape",r,t,e),i=S("elementDType",r,t,e);return[e.getTensorList(n.id).gather(o,i,s)]}case"TensorListStack":{let n=S("tensorListId",r,t,e),o=S("elementShape",r,t,e),s=S("elementDType",r,t,e),i=S("numElements",r,t,e);return[e.getTensorList(n.id).stack(o,s,i)]}case"TensorListFromTensor":{let n=S("tensor",r,t,e),o=S("elementShape",r,t,e),s=S("elementDType",r,t,e),i=VD(n,o,s);return e.addTensorList(i),[i.idTensor]}case"TensorListConcat":case"TensorListConcatV2":{let n=S("tensorListId",r,t,e),o=e.getTensorList(n.id),s=S("dtype",r,t,e),i=S("elementShape",r,t,e);return[o.concat(s,i)]}case"TensorListPushBack":{let n=S("tensorListId",r,t,e),o=S("tensor",r,t,e),s=e.getTensorList(n.id);return s.pushBack(o),[s.idTensor]}case"TensorListPopBack":{let n=S("tensorListId",r,t,e),o=S("elementShape",r,t,e),s=S("elementDType",r,t,e);return[e.getTensorList(n.id).popBack(o,s)]}case"TensorListSplit":{let n=S("tensor",r,t,e),o=S("elementShape",r,t,e),s=S("lengths",r,t,e),i=UD(n,s,o);return e.addTensorList(i),[i.idTensor]}case"TensorListLength":{let n=S("tensorListId",r,t,e),o=e.getTensorList(n.id);return[mt(o.size(),"int32")]}case"TensorListResize":{let n=S("tensorListId",r,t,e),o=S("size",r,t,e),i=e.getTensorList(n.id).resize(o);return e.addTensorList(i),[i.idTensor]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};function qD(r,t,e){let[n,o]=S("fusedOps",r,t,e),s=n==="biasadd",i=!s,a=o==="prelu",u=n==="fusedbatchnorm",l=S("numArgs",r,t,e);if(s){if(a&&l!==2)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!a&&s&&l!==1)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(u)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported");let c=S("strides",r,t,e),p=Rh(r,t,e),m=S("dataFormat",r,t,e).toUpperCase(),f=S("dilations",r,t,e),[d,h]=S("args",r,t,e);i&&(h=d,d=void 0);let g=S("leakyreluAlpha",r,t,e);return{stride:c,pad:p,dataFormat:m,dilations:f,biasArg:d,preluArg:h,activationFunc:o,leakyreluAlpha:g}}var KD=(r,t,e,n=ae)=>{switch(r.op){case"Conv1D":{let o=S("stride",r,t,e),s=S("pad",r,t,e),i=S("dataFormat",r,t,e).toUpperCase(),a=S("dilation",r,t,e);return[n.conv1d(S("x",r,t,e),S("filter",r,t,e),o,s,i,a)]}case"Conv2D":{let o=S("strides",r,t,e),s=Rh(r,t,e),i=S("dataFormat",r,t,e).toUpperCase(),a=S("dilations",r,t,e);return[n.conv2d(S("x",r,t,e),S("filter",r,t,e),[o[1],o[2]],s,i,[a[1],a[2]])]}case"_FusedConv2D":{let{stride:o,pad:s,dataFormat:i,dilations:a,biasArg:u,preluArg:l,activationFunc:c,leakyreluAlpha:p}=qD(r,t,e);return[n.fused.conv2d({x:S("x",r,t,e),filter:S("filter",r,t,e),strides:[o[1],o[2]],pad:s,dataFormat:i,dilations:[a[1],a[2]],bias:u,activation:c,preluActivationWeights:l,leakyreluAlpha:p})]}case"FusedDepthwiseConv2dNative":{let{stride:o,pad:s,dataFormat:i,dilations:a,biasArg:u,preluArg:l,activationFunc:c,leakyreluAlpha:p}=qD(r,t,e);return[n.fused.depthwiseConv2d({x:S("x",r,t,e),filter:S("filter",r,t,e),strides:[o[1],o[2]],pad:s,dataFormat:i,dilations:[a[1],a[2]],bias:u,activation:c,preluActivationWeights:l,leakyreluAlpha:p})]}case"Conv2DBackpropInput":case"Conv2dTranspose":{let o=S("outputShape",r,t,e),s=S("strides",r,t,e),i=Rh(r,t,e);return[n.conv2dTranspose(S("x",r,t,e),S("filter",r,t,e),o,[s[1],s[2]],i)]}case"DepthwiseConv2dNative":case"DepthwiseConv2d":{let o=S("strides",r,t,e),s=Rh(r,t,e),i=S("dilations",r,t,e),a=S("dataFormat",r,t,e).toUpperCase();return[n.depthwiseConv2d(S("input",r,t,e),S("filter",r,t,e),[o[1],o[2]],s,a,[i[1],i[2]])]}case"Conv3D":{let o=S("strides",r,t,e),s=S("pad",r,t,e),i=S("dataFormat",r,t,e).toUpperCase(),a=S("dilations",r,t,e);return[n.conv3d(S("x",r,t,e),S("filter",r,t,e),[o[1],o[2],o[3]],s,i,[a[1],a[2],a[3]])]}case"AvgPool":{let o=S("strides",r,t,e),s=S("pad",r,t,e),i=S("kernelSize",r,t,e);return[n.avgPool(S("x",r,t,e),[i[1],i[2]],[o[1],o[2]],s)]}case"MaxPool":{let o=S("strides",r,t,e),s=S("pad",r,t,e),i=S("kernelSize",r,t,e);return[n.maxPool(S("x",r,t,e),[i[1],i[2]],[o[1],o[2]],s)]}case"MaxPoolWithArgmax":{let o=S("strides",r,t,e),s=S("pad",r,t,e),i=S("kernelSize",r,t,e),a=S("includeBatchInIndex",r,t,e),{result:u,indexes:l}=n.maxPoolWithArgmax(S("x",r,t,e),[i[1],i[2]],[o[1],o[2]],s,a);return[u,l]}case"AvgPool3D":{let o=S("strides",r,t,e),s=S("pad",r,t,e),i=S("kernelSize",r,t,e);return[n.avgPool3d(S("x",r,t,e),[i[1],i[2],i[3]],[o[1],o[2],o[3]],s)]}case"MaxPool3D":{let o=S("strides",r,t,e),s=S("pad",r,t,e),i=S("kernelSize",r,t,e);return[n.maxPool3d(S("x",r,t,e),[i[1],i[2],i[3]],[o[1],o[2],o[3]],s)]}case"Dilation2D":{let o=S("strides",r,t,e),s=S("pad",r,t,e),i=S("dilations",r,t,e),a=o[1],u=o[2],l=i[1],c=i[2];return[n.dilation2d(S("x",r,t,e),S("filter",r,t,e),[a,u],s,[l,c],"NHWC")]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var jD=(r,t,e,n=ae)=>{switch(r.op){case"Fill":{let o=S("shape",r,t,e),s=S("dtype",r,t,e),i=S("value",r,t,e);return[n.fill(o,i,s)]}case"LinSpace":{let o=S("start",r,t,e),s=S("stop",r,t,e),i=S("num",r,t,e);return[n.linspace(o,s,i)]}case"Multinomial":{let o=S("logits",r,t,e),s=S("numSamples",r,t,e),i=S("seed",r,t,e);return[n.multinomial(o,s,i)]}case"OneHot":{let o=S("indices",r,t,e),s=S("depth",r,t,e),i=S("onValue",r,t,e),a=S("offValue",r,t,e),u=S("dtype",r,t,e);return[n.oneHot(o,s,i,a,u)]}case"Ones":return[n.ones(S("shape",r,t,e),S("dtype",r,t,e))];case"OnesLike":return[n.onesLike(S("x",r,t,e))];case"RandomStandardNormal":return[n.randomStandardNormal(S("shape",r,t,e),S("dtype",r,t,e),S("seed",r,t,e))];case"RandomUniform":return[n.randomUniform(S("shape",r,t,e),S("minval",r,t,e),S("maxval",r,t,e),S("dtype",r,t,e))];case"Range":{let o=S("start",r,t,e),s=S("stop",r,t,e),i=S("step",r,t,e);return[n.range(o,s,i,S("dtype",r,t,e))]}case"TruncatedNormal":{let o=S("shape",r,t,e),s=S("mean",r,t,e),i=S("stdDev",r,t,e),a=S("seed",r,t,e);return[n.truncatedNormal(o,s,i,S("dtype",r,t,e),a)]}case"Zeros":return[n.zeros(S("shape",r,t,e),S("dtype",r,t,e))];case"ZerosLike":return[n.zerosLike(S("x",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function mN(r,t,e){let n=S("boxes",r,t,e),o=S("scores",r,t,e),s=S("maxOutputSize",r,t,e),i=S("iouThreshold",r,t,e),a=S("scoreThreshold",r,t,e),u=S("softNmsSigma",r,t,e);return{boxes:n,scores:o,maxOutputSize:s,iouThreshold:i,scoreThreshold:a,softNmsSigma:u}}var XD=async(r,t,e,n,o=ae)=>{switch(r.op){case"NonMaxSuppressionV5":{let{boxes:s,scores:i,maxOutputSize:a,iouThreshold:u,scoreThreshold:l,softNmsSigma:c}=mN(r,t,e),p=await o.image.nonMaxSuppressionWithScoreAsync(s,i,a,u,l,c);return[p.selectedIndices,p.selectedScores]}case"NonMaxSuppressionV4":{let{boxes:s,scores:i,maxOutputSize:a,iouThreshold:u,scoreThreshold:l}=mN(r,t,e),c=S("padToMaxOutputSize",r,t,e),p=await o.image.nonMaxSuppressionPaddedAsync(s,i,a,u,l,c);return[p.selectedIndices,p.validOutputs]}case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":{let{boxes:s,scores:i,maxOutputSize:a,iouThreshold:u,scoreThreshold:l}=mN(r,t,e);return[await o.image.nonMaxSuppressionAsync(s,i,a,u,l)]}case"Where":{let s=o.cast(S("condition",r,t,e),"bool"),i=[await o.whereAsync(s)];return s.dispose(),i}case"ListDiff":return o.setdiff1dAsync(S("x",r,t,e),S("y",r,t,e));default:throw TypeError(`Node type ${r.op} is not implemented`)}};var YD=(r,t,e,n=ae)=>{switch(r.op){case"LowerBound":{let o=S("sortedSequence",r,t,e),s=S("values",r,t,e);return[n.lowerBound(o,s)]}case"TopKV2":{let o=S("x",r,t,e),s=S("k",r,t,e),i=S("sorted",r,t,e),a=n.topk(o,s,i);return[a.values,a.indices]}case"UpperBound":{let o=S("sortedSequence",r,t,e),s=S("values",r,t,e);return[n.upperBound(o,s)]}case"Unique":{let o=S("x",r,t,e),s=n.unique(o);return[s.values,s.indices]}case"UniqueV2":{let o=S("x",r,t,e),s=S("axis",r,t,e),i=n.unique(o,s);return[i.values,i.indices]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var ZD=(r,t,e,n=ae)=>{switch(r.op){case"Const":return t[r.name];case"PlaceholderWithDefault":let o=S("default",r,t,e);return[br(r.name,t,e)||o];case"Placeholder":return[br(r.name,t,e)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":{let c=S("x",r,t,e);return[Zs(c)]}case"IdentityN":return S("x",r,t,e).map(c=>Zs(c));case"Snapshot":let s=S("x",r,t,e);return[Zs(s)];case"Shape":return[n.tensor1d(S("x",r,t,e).shape,"int32")];case"ShapeN":return S("x",r,t,e).map(c=>n.tensor1d(c.shape));case"Size":return[n.scalar(S("x",r,t,e).size,"int32")];case"Rank":return[n.scalar(S("x",r,t,e).rank,"int32")];case"NoOp":return[n.scalar(1)];case"Print":let i=S("x",r,t,e),a=S("data",r,t,e),u=S("message",r,t,e),l=S("summarize",r,t,e);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(u);for(let c=0;ct.dispose()),this.tensorMap.clear(),this.handle.dispose()}size(){return this.tensorMap.size}tensorSize(){return mt(this.size(),"int32")}async import(t,e){this.checkKeyAndValueTensor(t,e);let n=await t.data();return this.tensorMap.forEach(o=>o.dispose()),this.tensorMap.clear(),B(()=>{let o=vr(e),s=n.length,i=o.length;y.assert(s===i,()=>`The number of elements doesn't match, keys has ${s} elements, the values has ${i} elements.`);for(let a=0;a{let o=[];for(let s=0;s{switch(r.op){case"HashTable":case"HashTableV2":{let o=n.getHashTableHandleByName(r.name);if(o!=null)return[o];{let s=S("keyDType",r,t,e),i=S("valueDType",r,t,e),a=new Bb(s,i);return n.addHashTable(r.name,a),[a.handle]}}case"LookupTableImport":case"LookupTableImportV2":{let o=S("tableHandle",r,t,e,n),s=S("keys",r,t,e),i=S("values",r,t,e);return[await n.getHashTableById(o.id).import(s,i)]}case"LookupTableFind":case"LookupTableFindV2":{let o=S("tableHandle",r,t,e,n),s=S("keys",r,t,e),i=S("defaultValue",r,t,e);return[await n.getHashTableById(o.id).find(s,i)]}case"LookupTableSize":case"LookupTableSizeV2":{let o=S("tableHandle",r,t,e,n);return[n.getHashTableById(o.id).tensorSize()]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var QD=(r,t,e,n=ae)=>{switch(r.op){case"ResizeBilinear":{let o=S("images",r,t,e),s=S("size",r,t,e),i=S("alignCorners",r,t,e),a=S("halfPixelCenters",r,t,e);return[n.image.resizeBilinear(o,[s[0],s[1]],i,a)]}case"ResizeNearestNeighbor":{let o=S("images",r,t,e),s=S("size",r,t,e),i=S("alignCorners",r,t,e),a=S("halfPixelCenters",r,t,e);return[n.image.resizeNearestNeighbor(o,[s[0],s[1]],i,a)]}case"CropAndResize":{let o=S("image",r,t,e),s=S("boxes",r,t,e),i=S("boxInd",r,t,e),a=S("cropSize",r,t,e),u=S("method",r,t,e),l=S("extrapolationValue",r,t,e);return[n.image.cropAndResize(o,s,i,a,u,l)]}case"ImageProjectiveTransformV3":{let o=S("images",r,t,e),s=S("transforms",r,t,e),i=S("outputShape",r,t,e),a=S("fillValue",r,t,e),u=S("interpolation",r,t,e),l=S("fillMode",r,t,e);return[n.image.transform(o,s,u.toLowerCase(),l.toLowerCase(),a,i)]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var tR=(r,t,e,n=ae)=>{switch(r.op){case"Equal":return[n.equal(S("a",r,t,e),S("b",r,t,e))];case"NotEqual":return[n.notEqual(S("a",r,t,e),S("b",r,t,e))];case"Greater":return[n.greater(S("a",r,t,e),S("b",r,t,e))];case"GreaterEqual":return[n.greaterEqual(S("a",r,t,e),S("b",r,t,e))];case"Less":return[n.less(S("a",r,t,e),S("b",r,t,e))];case"LessEqual":return[n.lessEqual(S("a",r,t,e),S("b",r,t,e))];case"LogicalAnd":return[n.logicalAnd(S("a",r,t,e),S("b",r,t,e))];case"LogicalNot":return[n.logicalNot(S("a",r,t,e))];case"LogicalOr":return[n.logicalOr(S("a",r,t,e),S("b",r,t,e))];case"Select":case"SelectV2":return[n.where(S("condition",r,t,e),S("a",r,t,e),S("b",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var eR=(r,t,e,n=ae)=>{switch(r.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[n.matMul(S("a",r,t,e),S("b",r,t,e),S("transposeA",r,t,e),S("transposeB",r,t,e))];case"Einsum":return[n.einsum(S("equation",r,t,e),...S("tensors",r,t,e))];case"Transpose":return[n.transpose(S("x",r,t,e),S("perm",r,t,e))];case"_FusedMatMul":let[o,s]=S("fusedOps",r,t,e),i=o==="biasadd",a=s==="prelu",u=S("numArgs",r,t,e),l=S("leakyreluAlpha",r,t,e);if(i){if(a&&u!==2)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!a&&u!==1)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}let[c,p]=S("args",r,t,e);return[n.fused.matMul({a:S("a",r,t,e),b:S("b",r,t,e),transposeA:S("transposeA",r,t,e),transposeB:S("transposeB",r,t,e),bias:c,activation:s,preluActivationWeights:p,leakyreluAlpha:l})];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var rR=(r,t,e,n=ae)=>{switch(r.op){case"EuclideanNorm":return[n.euclideanNorm(S("x",r,t,e),S("axis",r,t,e),S("keepDims",r,t,e))];case"FusedBatchNorm":case"FusedBatchNormV2":return[n.batchNorm(S("x",r,t,e),S("mean",r,t,e),S("variance",r,t,e),S("offset",r,t,e),S("scale",r,t,e),S("epsilon",r,t,e))];case"FusedBatchNormV3":return[n.batchNorm(S("x",r,t,e),S("mean",r,t,e),S("variance",r,t,e),S("offset",r,t,e),S("scale",r,t,e),S("epsilon",r,t,e))];case"LRN":return[n.localResponseNormalization(S("x",r,t,e),S("radius",r,t,e),S("bias",r,t,e),S("alpha",r,t,e),S("beta",r,t,e))];case"Softmax":return[n.softmax(S("x",r,t,e))];case"LogSoftmax":return[n.logSoftmax(S("x",r,t,e))];case"SparseToDense":return[n.sparseToDense(S("sparseIndices",r,t,e),S("outputShape",r,t,e),S("sparseValues",r,t,e),S("defaultValue",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var nR=(r,t,e,n=ae)=>{switch(r.op){case"Max":{let a=S("axis",r,t,e),u=S("keepDims",r,t,e);return[n.max(S("x",r,t,e),a,u)]}case"Mean":{let a=S("axis",r,t,e),u=S("keepDims",r,t,e);return[n.mean(S("x",r,t,e),a,u)]}case"Min":{let a=S("axis",r,t,e),u=S("keepDims",r,t,e);return[n.min(S("x",r,t,e),a,u)]}case"Sum":{let a=S("axis",r,t,e),u=S("keepDims",r,t,e);return[n.sum(S("x",r,t,e),a,u)]}case"All":{let a=S("axis",r,t,e),u=S("keepDims",r,t,e);return[n.all(S("x",r,t,e),a,u)]}case"Any":{let a=S("axis",r,t,e),u=S("keepDims",r,t,e);return[n.any(S("x",r,t,e),a,u)]}case"ArgMax":{let a=S("axis",r,t,e);return[n.argMax(S("x",r,t,e),a)]}case"ArgMin":{let a=S("axis",r,t,e);return[n.argMin(S("x",r,t,e),a)]}case"Prod":{let a=S("axis",r,t,e),u=S("keepDims",r,t,e);return[n.prod(S("x",r,t,e),a,u)]}case"Cumprod":{let a=S("axis",r,t,e),u=S("exclusive",r,t,e),l=S("reverse",r,t,e);return[n.cumprod(S("x",r,t,e),a,u,l)]}case"Cumsum":{let a=S("axis",r,t,e),u=S("exclusive",r,t,e),l=S("reverse",r,t,e);return[n.cumsum(S("x",r,t,e),a,u,l)]}case"Bincount":let o=S("x",r,t,e),s=S("weights",r,t,e),i=S("size",r,t,e);return[n.bincount(o,s,i)];case"DenseBincount":{let a=S("x",r,t,e),u=S("weights",r,t,e),l=S("size",r,t,e),c=S("binaryOutput",r,t,e);return[n.denseBincount(a,u,l,c)]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var oR=(r,t,e,n=ae)=>{switch(r.op){case"ConcatV2":case"Concat":{let o=S("n",r,t,e),s=S("axis",r,t,e),i=S("tensors",r,t,e);return i=i.slice(0,o),[n.concat(i,s)]}case"Gather":{let o=S("x",r,t,e),s=S("indices",r,t,e);return[n.gather(o,n.cast(s,"int32"),0)]}case"GatherV2":{let o=S("axis",r,t,e),s=S("batchDims",r,t,e),i=S("x",r,t,e),a=S("indices",r,t,e);return[n.gather(i,n.cast(a,"int32"),o,s)]}case"Reverse":{let o=S("dims",r,t,e),s=[];for(let a=0;a{let o=S("axis",r,t,e),s=S("tensors",r,t,e),i=s[0].shape,a=n.squeeze(s[0]).shape,u=s.map(l=>{let c=y.arraysEqual(l.shape,i);if(!c&&!y.arraysEqual(n.squeeze(l).shape,a))throw new Error("the input tensors shape does not match");return c?l:n.reshape(l,i)});return[n.stack(u,o)]});case"Unpack":{let o=S("axis",r,t,e),s=S("tensor",r,t,e);return n.unstack(s,o)}case"Tile":{let o=S("reps",r,t,e);return[n.tile(S("x",r,t,e),o)]}case"Split":case"SplitV":{let o=S("axis",r,t,e),s=S("numOrSizeSplits",r,t,e),i=S("x",r,t,e);return n.split(i,s,o)}case"ScatterNd":{let o=S("indices",r,t,e),s=S("values",r,t,e),i=S("shape",r,t,e);return[n.scatterND(o,s,i)]}case"GatherNd":{let o=S("x",r,t,e),s=S("indices",r,t,e);return[n.gatherND(o,s)]}case"SparseToDense":{let o=S("sparseIndices",r,t,e),s=S("outputShape",r,t,e),i=S("sparseValues",r,t,e),a=S("defaultValue",r,t,e);return[n.sparseToDense(o,i,s,i.dtype===a.dtype?a:n.cast(a,i.dtype))]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var sR=(r,t,e,n=ae)=>{switch(r.op){case"SparseFillEmptyRows":{let{outputIndices:o,outputValues:s,emptyRowIndicator:i,reverseIndexMap:a}=n.sparse.sparseFillEmptyRows(S("indices",r,t,e),S("values",r,t,e),S("denseShape",r,t,e),S("defaultValue",r,t,e));return[o,s,i,a]}case"SparseReshape":{let{outputIndices:o,outputShape:s}=n.sparse.sparseReshape(S("inputIndices",r,t,e),S("inputShape",r,t,e),S("newShape",r,t,e));return[o,s]}case"SparseSegmentMean":return[n.sparse.sparseSegmentMean(S("data",r,t,e),S("indices",r,t,e),S("segmentIds",r,t,e))];case"SparseSegmentSum":return[n.sparse.sparseSegmentSum(S("data",r,t,e),S("indices",r,t,e),S("segmentIds",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var iR=(r,t,e,n=ae)=>{switch(r.op){case"FFT":return[n.fft(S("x",r,t,e))];case"IFFT":return[n.ifft(S("x",r,t,e))];case"RFFT":return[n.rfft(S("x",r,t,e))];case"IRFFT":return[n.irfft(S("x",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var aR=(r,t,e,n=ae)=>{switch(r.op){case"StringNGrams":{let{nGrams:o,nGramsSplits:s}=n.string.stringNGrams(S("data",r,t,e),S("dataSplits",r,t,e),S("separator",r,t,e),S("nGramWidths",r,t,e),S("leftPad",r,t,e),S("rightPad",r,t,e),S("padWidth",r,t,e),S("preserveShortSequences",r,t,e));return[o,s]}case"StringSplit":{let{indices:o,values:s,shape:i}=n.string.stringSplit(S("input",r,t,e),S("delimiter",r,t,e),S("skipEmpty",r,t,e));return[o,s,i]}case"StringToHashBucketFast":return[n.string.stringToHashBucketFast(S("input",r,t,e),S("numBuckets",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var lR=(r,t,e,n=ae)=>{switch(r.op){case"Cast":return[n.cast(S("x",r,t,e),S("dtype",r,t,e))];case"ExpandDims":{let o=S("axis",r,t,e);return[n.expandDims(S("x",r,t,e),o)]}case"Squeeze":{let o=S("axis",r,t,e);return[n.squeeze(S("x",r,t,e),o)]}case"Reshape":return[n.reshape(S("x",r,t,e),S("shape",r,t,e))];case"MirrorPad":return[n.mirrorPad(S("x",r,t,e),S("padding",r,t,e),S("mode",r,t,e))];case"PadV2":case"Pad":return[n.pad(S("x",r,t,e),S("padding",r,t,e),S("constantValue",r,t,e))];case"SpaceToBatchND":{let o=S("blockShape",r,t,e),s=S("paddings",r,t,e);return[n.spaceToBatchND(S("x",r,t,e),o,s)]}case"BatchToSpaceND":{let o=S("blockShape",r,t,e),s=S("crops",r,t,e);return[n.batchToSpaceND(S("x",r,t,e),o,s)]}case"DepthToSpace":{let o=S("blockSize",r,t,e),s=S("dataFormat",r,t,e).toUpperCase();return[n.depthToSpace(S("x",r,t,e),o,s)]}case"BroadcastTo":return[n.broadcastTo(S("x",r,t,e),S("shape",r,t,e))];case"BroadcastArgs":return[n.broadcastArgs(S("s0",r,t,e),S("s1",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function fN(r,t,e,n,o=B){let s=((i,a,u)=>{switch(i.category){case"arithmetic":return o(()=>MD(i,a,u));case"basic_math":return o(()=>zD(i,a,u));case"control":return HD(i,a,u);case"convolution":return o(()=>KD(i,a,u));case"creation":return o(()=>jD(i,a,u));case"dynamic":return XD(i,a,u);case"evaluation":return o(()=>YD(i,a,u));case"image":return o(()=>QD(i,a,u));case"graph":return o(()=>ZD(i,a,u));case"logical":return o(()=>tR(i,a,u));case"matrices":return o(()=>eR(i,a,u));case"normalization":return o(()=>rR(i,a,u));case"reduction":return o(()=>nR(i,a,u));case"slice_join":return o(()=>oR(i,a,u));case"sparse":return o(()=>sR(i,a,u));case"spectral":return o(()=>iR(i,a,u));case"string":return o(()=>aR(i,a,u));case"transformation":return o(()=>lR(i,a,u));case"hash_table":return JD(i,a,u,n);case"custom":let l=Nb(i.op);if(l&&l.customExecutor)return l.customExecutor(new Lb(i,a,u));throw TypeError(`Custom op ${i.op} is not registered.`);default:throw TypeError(`Unknown op '${i.op}'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()`)}})(r,t,e);return y.isPromise(s)?s.then(i=>[].concat(i)):[].concat(s)}var Oh=class{constructor(t={},e={},n={},o={}){this.weightMap=t,this.tensorArrayMap=e,this.tensorListMap=n,this.functionMap=o,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}newFrame(t,e){return{id:t,frameName:e,iterationId:0}}set currentContext(t){this.contexts!==t&&(this.contexts=t,this.generateCurrentContextIds())}get currentContext(){return this.contexts}get currentContextId(){return this._currentContextIds[0]}get currentContextIds(){return this._currentContextIds}generateCurrentContextIds(){let t=[];for(let e=0;ee.id===0&&e.iterationId===0?"":`${e.frameName}-${e.iterationId}`).join("/"):""}enterFrame(t){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,t)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}exitFrame(){if(this.contexts&&this.contexts.length>1)this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift();else throw new Error("Cannot exit frame, the context is empty")}nextIteration(){if(this.contexts&&this.contexts.length>0){this.contexts=this.contexts.slice(),this.lastId++;let t=Object.assign({},this.contexts[this.contexts.length-1]);t.iterationId+=1,t.id=this.lastId,this.contexts.splice(-1,1,t),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}else throw new Error("Cannot increase frame iteration, the context is empty")}getWeight(t){return this.weightMap[t]}addTensorArray(t){this.tensorArrayMap[t.id]=t}getTensorArray(t){return this.tensorArrayMap[t]}addTensorList(t){this.tensorListMap[t.id]=t}getTensorList(t){return this.tensorListMap[t]}dispose(t){for(let e in this.tensorArrayMap)this.tensorArrayMap[e].clearAndClose(t);for(let e in this.tensorListMap)this.tensorListMap[e].clearAndClose(t)}};function dN(r,t,e,n){let o=new Set,s=[],i=null,a=null,u=new Set,l=Object.keys(r).map(m=>xn(m)[0]),c=[];n!=null&&(c=n.map(m=>xn(m.name)[0]));let p=[...t];for(;p.length>0;){let m=p.pop();if((hN(m)||R7(m)||F7(m))&&i==null&&(i=m,a=i.children.map(f=>f.name).filter(f=>o.has(f))),o.add(m.name),e[m.name]==null&&l.indexOf(m.name)===-1&&c.indexOf(m.name)===-1){if(m.inputs.length===0){s.push(m.name);continue}m.inputs.forEach(f=>{u.has(f.name)||(u.add(f.name),p.push(f))})}}return{inputs:r,outputs:t,usedNodes:o,missingInputs:s,dynamicNode:i,syncInputs:a}}function uR(r,t,e){let{usedNodes:n,inputs:o}=e,s=[],i=Object.keys(o).map(c=>xn(c)[0]).map(c=>r.nodes[c]),a=r.initNodes;i.forEach(c=>{n.has(c.name)&&s.push(c)}),r.weights.forEach(c=>{n.has(c.name)&&s.push(c)}),a!=null&&a.forEach(c=>{n.has(c.name)&&s.push(c)});let u=new Set,l=[];for(;s.length>0;){let c=s.pop();u.add(c.name),t[c.name]||l.push(c),c.children.forEach(p=>{!u.has(p.name)&&n.has(p.name)&&p.inputs.every(m=>u.has(m.name))&&s.push(p)})}return l}var A7=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],$7=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"],D7=["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2","LookupTableSize","LookupTableSizeV2"];function hN(r){return A7.indexOf(r.op)>=0}function R7(r){return $7.indexOf(r.op)>=0}function F7(r){return D7.indexOf(r.op)>=0}var Nc=class{constructor(t,e){this.graph=t,this.parent=e,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._functions={},this._functionExecutorMap={},this.intermediateTensors={},this.keepTensorForDebug=!1,this._outputs=t.outputs,this._inputs=t.inputs,this._initNodes=t.initNodes,this._signature=t.signature,this._functions=t.functions,t.functions!=null&&Object.keys(t.functions).forEach(n=>{this._functionExecutorMap[n]=new Nc(t.functions[n],this)})}get weightIds(){return this.parent?this.parent.weightIds:this._weightIds}get functionExecutorMap(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}get weightMap(){return this.parent?this.parent.weightMap:this._weightMap}set weightMap(t){let e=Object.keys(t).map(n=>t[n].map(o=>o.id));this._weightIds=[].concat(...e),this._weightMap=t}set resourceManager(t){this._resourceManager=t}get inputs(){return this._inputs.map(t=>({name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}))}get outputs(){return this._outputs.map(t=>({name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}))}get inputNodes(){return this._inputs.map(t=>t.signatureKey||t.name)}get outputNodes(){return this._outputs.map(t=>{let e=t.signatureKey||t.name;return t.defaultOutput?`${e}:${t.defaultOutput}`:e})}get functions(){return Object.keys(this._functions).reduce((t,e)=>(t[e]=this._functions[e].signature,t),{})}getCompilationKey(t,e){let n=t.map(s=>s.name).sort(),o=e.map(s=>s.name).sort();return n.join(this.SEPERATOR)+"--"+o.join(this.SEPERATOR)}compile(t,e){let n=dN(t,e,this.weightMap,this._initNodes),{missingInputs:o,dynamicNode:s,syncInputs:i}=n;if(s!=null)throw new Error(`This execution contains the node '${s.name}', which has the dynamic op '${s.op}'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs [${i}]`);if(o.length>0){let a=e.map(l=>l.name),u=Object.keys(t);throw new Error(`Cannot compute the outputs [${a}] from the provided inputs [${u}]. Missing the following inputs: [${o}]`)}return uR(this.graph,this.weightMap,n)}execute(t,e){t=this.mapInputs(t);let n=Object.keys(t).sort();this.checkInputs(t),this.checkInputShapeAndType(t),e=this.mapOutputs(e),this.checkOutputs(e);let o=n.map(p=>this.graph.nodes[xn(p)[0]]),s=e.map(p=>xn(p)[0]),i=s.map(p=>this.graph.nodes[p]);this.resetIntermediateTensors(),i.length===0&&(i=this._outputs);let a=this.getCompilationKey(o,i),u=this.compiledMap.get(a);u==null&&(u=this.compile(t,i),this.compiledMap.set(a,u));let l={},c={};return B(()=>{let p=new Oh(this.weightMap,l,c,this.functionExecutorMap),m=Object.assign({},this.weightMap);Object.keys(t).forEach(h=>{let[g,x]=xn(h),b=[];b[x]=t[h],m[g]=b});let f=this.getFrozenTensorIds(m),d={};for(let h=0;hbr(h,m,p))})}getFrozenTensorIds(t){let e=[].concat.apply([],Object.keys(t).map(n=>t[n]).map(n=>n.map(o=>o.id)));return new Set(e)}checkTensorForDisposal(t,e,n,o,s,i,a){e.category==="control"||i.indexOf(t)!==-1||(n[t].forEach(u=>{u!=null&&(a[u.id]=(a[u.id]||0)+e.children.length)}),e.inputs.forEach(u=>{if(u.category!=="control"){let l=FD(u.name,n,o);l!=null&&l.forEach(c=>{if(c&&!c.kept&&!s.has(c.id)){let p=a[c.id];if(p===1){if(!this.keepTensorForDebug)c.dispose();else{let[m,f]=_o(e.name,o);this.intermediateTensors[m]?this.intermediateTensors[m][f]=c:(this.intermediateTensors[m]=[],this.intermediateTensors[m][f]=c)}delete a[c.id]}else p!=null&&a[c.id]--}})}}))}async executeAsync(t,e){return this._executeAsync(t,e)}disposeIntermediateTensors(){!this.intermediateTensors||(Object.keys(this.intermediateTensors).forEach(t=>this.intermediateTensors[t].forEach(e=>e.dispose())),this.disposeTensorsMap())}disposeTensorsMap(){!this.tensorsMap||Object.keys(this.tensorsMap).forEach(t=>{this.tensorsMap[t].forEach(n=>{n&&!n.kept&&!n.isDisposed&&!this.keepIds.has(n.id)&&n.dispose()})})}getIntermediateTensors(){return this.tensorsMap}resetIntermediateTensors(){for(let t in this.intermediateTensors)this.intermediateTensors[t].forEach(e=>e.dispose()),delete this.intermediateTensors[t]}async _executeAsync(t,e,n=!1,o={},s={}){n||(t=this.mapInputs(t),this.checkInputs(t),this.checkInputShapeAndType(t),e=this.mapOutputs(e),this.checkOutputs(e));try{this.keepTensorForDebug=z().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(c){console.warn(c.message)}this.resetIntermediateTensors();let i=new Oh(this.weightMap,o,s,this.functionExecutorMap);this.tensorsMap=await this.executeWithControlFlow(t,i,e,n);let a=e.map(c=>br(c,this.tensorsMap,i)),u=a.map(c=>c.id),l=Object.keys(t).map(c=>t[c].id);return this.keepIds=new Set([...u,...l,...this.weightIds]),this.keepTensorForDebug||this.disposeTensorsMap(),this.parent==null&&i.dispose(this.keepIds),a}async executeFunctionAsync(t,e,n){let o=t.reduce((s,i,a)=>(s[this.inputs[a].name]=i,s),{});return this._executeAsync(o,this.outputNodes,!0,e,n)}async executeWithControlFlow(t,e,n,o){let s=Object.keys(t),i=s.map(w=>this.graph.nodes[xn(w)[0]]),a=n.map(w=>xn(w)[0]),u=a.map(w=>this.graph.nodes[w]);u.length===0&&(u=this._outputs);let{usedNodes:l,missingInputs:c,dynamicNode:p,syncInputs:m}=dN(t,u,this.weightMap,this._initNodes),f=[...i,...this.graph.weights,...this._initNodes||[]].map(w=>({node:w,contexts:e.currentContext})),d=Object.assign({},this.weightMap);Object.keys(t).forEach(w=>{let[C,N]=xn(w),_=[];_[N]=t[w],d[C]=_});let h={},g=this.getFrozenTensorIds(d),x={};for(;f.length>0;){let w=this.processStack(i,f,e,d,x,g,a,h,l);await Promise.all(w)}p==null&&!o&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead.");let b=u.filter(w=>!hN(w)&&!br(w.name,d,e)).map(w=>w.name);if(b.length>0){let w="";throw p!=null&&(w=`Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs [${m}]`),new Error(`Cannot compute the outputs [${b}] from the provided inputs [${s}]. Consider providing the following inputs: [${c}]. ${w}`)}return d}processStack(t,e,n,o,s,i,a,u,l){let c=[];for(;e.length>0;){let p=e.pop();n.currentContext=p.contexts;let m="";if(p.node.op==="Enter"&&S("isConstant",p.node,o,n)&&([m]=_o(p.node.name,n)),o[p.node.name]==null){let f=fN(p.node,o,n,this._resourceManager);m||([m]=_o(p.node.name,n));let d=n.currentContext;y.isPromise(f)?c.push(f.then(h=>(o[m]=h,n.currentContext=d,this.checkTensorForDisposal(m,p.node,o,n,i,a,u),this.processChildNodes(p.node,e,n,o,s,l),h))):(o[m]=f,this.checkTensorForDisposal(m,p.node,o,n,i,a,u),this.processChildNodes(p.node,e,n,o,s,l))}else this.processChildNodes(p.node,e,n,o,s,l)}return c}processChildNodes(t,e,n,o,s,i){t.children.forEach(a=>{let[u]=_o(a.name,n);s[u]||!i.has(a.name)||(a.op==="Merge"?a.inputNames.some(l=>!!br(l,o,n))&&(s[u]=!0,e.push({contexts:n.currentContext,node:a})):a.inputNames.every(l=>!!br(l,o,n))&&(s[u]=!0,e.push({contexts:n.currentContext,node:a})))})}dispose(){Object.keys(this.weightMap).forEach(t=>this.weightMap[t].forEach(e=>e.dispose()))}checkInputShapeAndType(t){Object.keys(t).forEach(e=>{let n=t[e],[o]=xn(e),s=this.graph.nodes[o];if(s.attrParams.shape&&s.attrParams.shape.value){let i=s.attrParams.shape.value,a=i.length===n.shape.length&&n.shape.every((u,l)=>i[l]===-1||i[l]===u);y.assert(a,()=>`The shape of dict['${s.name}'] provided in model.execute(dict) must be [${i}], but was [${n.shape}]`)}s.attrParams.dtype&&s.attrParams.dtype.value&&y.assert(n.dtype===s.attrParams.dtype.value,()=>`The dtype of dict['${s.name}'] provided in model.execute(dict) must be ${s.attrParams.dtype.value}, but was ${n.dtype}`)})}mapInputs(t){let e={};for(let n in t)if(this._signature!=null&&this._signature.inputs!=null&&this._signature.inputs[n]!=null){let o=this._signature.inputs[n];e[o.name]=t[n]}else e[n]=t[n];return e}checkInputs(t){let e=Object.keys(t).filter(n=>{let[o]=xn(n);return this.graph.nodes[o]==null});if(e.length>0)throw new Error(`The dict provided in model.execute(dict) has keys: [${e}] that are not part of graph`)}mapOutputs(t){return t.map(e=>this._signature!=null&&this._signature.outputs!=null&&this._signature.outputs[e]!=null?this._signature.outputs[e].name:e,{})}checkOutputs(t){t.forEach(e=>{let[n]=xn(e);if(!this.graph.nodes[n])throw new Error(`The output '${e}' is not found in the graph`)})}};var Vb=class{constructor(t={},e={}){this.hashTableNameToHandle=t,this.hashTableMap=e}addHashTable(t,e){this.hashTableNameToHandle[t]=e.handle,this.hashTableMap[e.id]=e}getHashTableHandleByName(t){return this.hashTableNameToHandle[t]}getHashTableById(t){return this.hashTableMap[t]}dispose(){for(let t in this.hashTableMap)this.hashTableMap[t].clearAndClose(),delete this.hashTableMap[t];for(let t in this.hashTableNameToHandle)this.hashTableNameToHandle[t].dispose(),delete this.hashTableNameToHandle[t]}};var O7="?tfjs-format=file",P7="model.json",Ph=class{constructor(t,e={},n=_r){this.modelUrl=t,this.loadOptions=e,this.version="n/a",this.io=n,e==null&&(this.loadOptions={}),this.resourceManager=new Vb}get modelVersion(){return this.version}get inputNodes(){return this.executor.inputNodes}get outputNodes(){return this.executor.outputNodes}get inputs(){return this.executor.inputs}get outputs(){return this.executor.outputs}get weights(){return this.executor.weightMap}get metadata(){return this.artifacts.userDefinedMetadata}get modelSignature(){return this.signature}get modelStructuredOutputKeys(){return this.structuredOutputKeys}findIOHandler(){let t=this.modelUrl;if(t.load!=null)this.handler=t;else if(this.loadOptions.requestInit!=null)this.handler=this.io.browserHTTPRequest(t,this.loadOptions);else{let e=this.io.getLoadHandlers(t,this.loadOptions);if(e.length===0)e.push(this.io.browserHTTPRequest(t,this.loadOptions));else if(e.length>1)throw new Error(`Found more than one (${e.length}) load handlers for URL '${[t]}'`);this.handler=e[0]}}load(){if(this.findIOHandler(),this.handler.load==null)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let t=this.handler.load();return y.isPromise(t)?t.then(e=>this.loadSync(e)):this.loadSync(t)}loadSync(t){this.artifacts=t;let e=this.artifacts.modelTopology,n=this.artifacts.signature;if(this.artifacts.userDefinedMetadata!=null){let s=this.artifacts.userDefinedMetadata;s.signature!=null&&(n=s.signature),s.structuredOutputKeys!=null&&(this.structuredOutputKeys=s.structuredOutputKeys)}this.signature=n,this.version=`${e.versions.producer}.${e.versions.minConsumer}`;let o=this.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new Nc(Fh.Instance.transformGraph(e,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(o),this.executor.resourceManager=this.resourceManager,t.modelInitializer!=null&&t.modelInitializer.node!=null){let s=Fh.Instance.transformGraph(t.modelInitializer);this.initializer=new Nc(s),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializerSignature=t.initializerSignature}return!0}async save(t,e){if(typeof t=="string"){let n=this.io.getSaveHandlers(t);if(n.length===0)throw new Error(`Cannot find any save handlers for URL '${t}'`);if(n.length>1)throw new Error(`Found more than one (${n.length}) save handlers for URL '${t}'`);t=n[0]}if(t.save==null)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return t.save(this.artifacts)}predict(t,e){let n=this.execute(t,this.outputNodes);if(this.structuredOutputKeys){let o=n instanceof Ft?[n]:n,s={};return o.forEach((i,a)=>s[this.structuredOutputKeys[a]]=i),s}return n}normalizeInputs(t){if(!(t instanceof Ft)&&!Array.isArray(t)){if(this.signature!=null&&this.signature.inputs!=null)for(let o in this.signature.inputs){let s=this.signature.inputs[o];s.resourceId!=null&&(t[o]=this.resourceIdToCapturedInput[s.resourceId])}return t}t=Array.isArray(t)?t:[t];let e=Object.keys(this.resourceIdToCapturedInput).length;if(t.length+e!==this.inputNodes.length)throw new Error(`Input tensor count mismatch, the graph model has ${this.inputNodes.length-e} non-resource placeholders, while there are ${t.length} input tensors provided.`);let n=0;return this.inputNodes.reduce((o,s)=>{let i=this.signature?this.signature.inputs[s]:null;return i!=null&&i.resourceId!=null?o[s]=this.resourceIdToCapturedInput[i.resourceId]:o[s]=t[n++],o},{})}normalizeOutputs(t){return t=t||this.outputNodes,Array.isArray(t)?t:[t]}executeInitializerGraph(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.execute({},[]):this.initializer.execute({},Object.keys(this.initializerSignature.outputs))}async executeInitializerGraphAsync(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.executeAsync({},[]):this.initializer.executeAsync({},Object.keys(this.initializerSignature.outputs))}setResourceIdToCapturedInput(t){if(this.resourceIdToCapturedInput={},this.initializerSignature){let e=Object.keys(this.initializerSignature.outputs);for(let n=0;n1?n:n[0]}async executeAsync(t,e){this.resourceIdToCapturedInput==null&&this.setResourceIdToCapturedInput(await this.executeInitializerGraphAsync()),t=this.normalizeInputs(t),e=this.normalizeOutputs(e);let n=await this.executor.executeAsync(t,e);return n.length>1?n:n[0]}getIntermediateTensors(){return this.executor.getIntermediateTensors()}disposeIntermediateTensors(){this.executor.disposeIntermediateTensors()}convertTensorMapToTensorsMap(t){return Object.keys(t).reduce((e,n)=>(e[n]=[t[n]],e),{})}dispose(){this.executor.dispose(),this.initializer&&(this.initializer.dispose(),this.resourceIdToCapturedInput&&vt(this.resourceIdToCapturedInput)),this.resourceManager.dispose()}};async function L7(r,t={},e=_r){if(r==null)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");t==null&&(t={}),t.fromTFHub&&typeof r=="string"&&(r=z7(r));let n=new Ph(r,t,e);return await n.load(),n}function M7(r){if(r==null)throw new Error("modelUrl in loadGraphModelSync() cannot be null. Please provide model artifacts or an IOHandler that loads the model");let t;if(r instanceof Array){let[n,o]=r;if(!n)throw new Error("modelJSON must be the first element of the array");if(!o||!(o instanceof ArrayBuffer))throw new Error("An ArrayBuffer of weights must be the second element of the array");if(!("modelTopology"in n))throw new Error("Model JSON is missing 'modelTopology'");if(!("weightsManifest"in n))throw new Error("Model JSON is missing 'weightsManifest'");let s=_r.getWeightSpecs(n.weightsManifest),i=_r.getModelArtifactsForJSONSync(n,s,o);t=_r.fromMemorySync(i)}else if("load"in r)t=r;else if("modelTopology"in r&&"weightSpecs"in r&&"weightData"in r)t=_r.fromMemorySync(r);else throw new Error("Unknown model format");let e=new Ph(t);return e.load(),e}function z7(r){return r.endsWith("/")||(r=r+"/"),`${r}${P7}${O7}`}var cR="4.0.0";var AR={};Wt(AR,{CSVDataset:()=>Yf,Dataset:()=>Js,FileDataSource:()=>ed,TextLineDataset:()=>Xf,URLDataSource:()=>rd,array:()=>wR,csv:()=>NR,func:()=>TR,generator:()=>kR,microphone:()=>_R,version_data:()=>PN,webcam:()=>ER,zip:()=>CR});var bR=Tl(fh());var gR=Tl(fh());function pR(r,t){return Gb(r,t)}function Gb(r,t,e=new Map,n=new Set){if(r==null)return null;if(typeof Blob=="function"&&r instanceof Blob)return r.slice();if(n.has(r))throw new Error("Circular references are not supported.");if(e.has(r))return e.get(r);let o=t(r);if(o.recurse&&o.value!==null)throw new Error("A deep map function may not return both a value and recurse=true.");if(o.recurse)if(vu(r)){let s=Array.isArray(r)?[]:{};n.add(r);for(let i in r){let a=r[i],u=Gb(a,t,e,n);s[i]=u}return n.delete(r),r.__proto__&&(s.__proto__=r.__proto__),s}else throw new Error(`Can't recurse into non-iterable type: ${r}`);else return e.set(r,o.value),o.value}function mR(r,t=xN){return fR(r,t)}function fR(r,t,e=new Set){let n=r[0];if(e.has(n))throw new Error("Circular references are not supported.");let o=t(r);if(o.recurse&&o.value!==null)throw new Error("A deep zip function may not return both a value and recurse=true.");if(o.recurse)if(vu(n)){let s=Array.isArray(n)?[]:{};e.add(n);for(let i in n){let a=r.map(l=>l[i]),u=fR(a,t,e);s[i]=u}return e.delete(n),s}else throw new Error(`Can't recurse into non-iterable type: ${n}`);else return o.value}function xN(r){return r===null?null:vu(r[0])?{value:null,recurse:!0}:{value:r,recurse:!1}}async function Wb(r,t){let e=new Map;Gb(r,t,e);for(let o of Array.from(e.keys())){let s=e.get(o);if(y.isPromise(s)){let i=await s;e.set(o,i)}}return Gb(r,t,e)}function vu(r){let t=!1;if(z().get("IS_BROWSER"))t=r instanceof TextDecoder;else{let{StringDecoder:e}=gN();t=r instanceof e}return r!=null&&!ArrayBuffer.isView(r)&&(Array.isArray(r)||typeof r=="object"&&!(r instanceof Ft)&&!(r instanceof Promise)&&!t)}function dR(r){return r==null||B7(r)||Array.isArray(r)||typeof r=="object"&&r instanceof Ft||y.isTypedArray(r)}function B7(r){return r===null||typeof r!="object"&&typeof r!="function"}function hR(r){return pR(r,V7)}function V7(r){return r instanceof Ft?{value:r.clone(),recurse:!1}:vu(r)?{value:null,recurse:!0}:{value:r,recurse:!1}}var jf=class{constructor(t){if(this.capacity=t,this.begin=0,this.end=0,t==null)throw new RangeError("Can't create a ring buffer of unknown capacity.");if(t<1)throw new RangeError("Can't create ring buffer of capacity < 1.");this.data=new Array(t),this.doubledCapacity=2*t}wrap(t){for(;t<0;)t+=this.doubledCapacity;return t%this.doubledCapacity}get(t){if(t<0)throw new RangeError("Can't get item at a negative index.");return this.data[t%this.capacity]}set(t,e){if(t<0)throw new RangeError("Can't set item at a negative index.");this.data[t%this.capacity]=e}length(){let t=this.end-this.begin;return t<0&&(t=this.doubledCapacity+t),t}isFull(){return this.length()===this.capacity}isEmpty(){return this.length()===0}push(t){if(this.isFull())throw new RangeError("Ring buffer is full.");this.set(this.end,t),this.end=this.wrap(this.end+1)}pushAll(t){for(let e of t)this.push(e)}pop(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");this.end=this.wrap(this.end-1);let t=this.get(this.end);return this.set(this.end,void 0),t}unshift(t){if(this.isFull())throw new RangeError("Ring buffer is full.");this.begin=this.wrap(this.begin-1),this.set(this.begin,t)}shift(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");let t=this.get(this.begin);return this.set(this.begin,void 0),this.begin=this.wrap(this.begin+1),t}shuffleExcise(t){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");let e=this.wrap(this.begin+t),n=this.get(e);return this.set(e,this.pop()),n}};var Tc=class extends jf{constructor(){super(Tc.INITIAL_CAPACITY)}isFull(){return!1}push(t){super.isFull()&&this.expand(),super.push(t)}unshift(t){super.isFull()&&this.expand(),super.unshift(t)}expand(){let t=this.capacity*2,e=new Array(t),n=this.length();for(let o=0;oe===!0)}rowMajorBatch(t,e=!0){return new SN(this,t,e)}columnMajorBatch(t,e=!0,n=xN){return this.rowMajorBatch(t,e).map(s=>mR(s,n))}concatenate(t,e){return new Hb(AN([this,t]),e)}take(t){return t<0||t==null?this:new IN(this,t)}skip(t){return t<0||t==null?this:new CN(this,t)}prefetch(t){return new qb(this,t)}shuffle(t,e){return new _N(this,t,e)}serial(){return new wN(this)}},yN=class extends Je{constructor(t){super(),this.items=t,this.trav=0}summary(){return`Array of ${this.items.length} items`}async next(){if(this.trav>=this.items.length)return{value:null,done:!0};let t=this.items[this.trav];return this.trav++,{value:hR(t),done:!1}}},bN=class extends Je{constructor(t){super(),this.nextFn=t}summary(){return"Function call"}async next(){try{return this.nextFn()}catch(t){throw t.message=`Error thrown while iterating through a dataset: ${t.message}`,t}}},wN=class extends Je{constructor(t){super(),this.upstream=t,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Serial`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){return this.upstream.next()}},CN=class extends Je{constructor(t,e){super(),this.upstream=t,this.maxCount=e,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Skip`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.count++ Take`}async next(){return this.count++>=this.maxCount?{value:null,done:!0}:this.upstream.next()}},SN=class extends Je{constructor(t,e,n=!0){super(),this.upstream=t,this.batchSize=e,this.enableSmallLastBatch=n,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> RowMajorBatch`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){let t=[];for(;t.length0?{value:t,done:!1}:{value:null,done:!0};t.push(e.value)}return{value:t,done:!1}}},vN=class extends Je{constructor(t,e){super(),this.upstream=t,this.predicate=e,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Filter`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;){let t=await this.upstream.next();if(t.done||this.predicate(t.value))return t;vt(t.value)}}},NN=class extends Je{constructor(t,e){super(),this.upstream=t,this.transform=e}summary(){return`${this.upstream.summary()} -> Map`}async next(){let t=await this.upstream.next();if(t.done)return{value:null,done:!0};let e=go.getTensorsInContainer(t.value),n=this.transform(t.value),o=go.getTensorsInContainer(n);for(let s of e)go.isTensorInList(s,o)||s.dispose();return{value:n,done:!1}}},TN=class extends Je{constructor(t,e){super(),this.upstream=t,this.handler=e,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> handleErrors`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;)try{return await this.upstream.next()}catch(t){if(!this.handler(t))return{value:null,done:!0}}}},Ub=class extends Je{constructor(t,e){super(),this.upstream=t,this.transform=e}summary(){return`${this.upstream.summary()} -> AsyncMap`}async next(){let t=await this.upstream.next();if(t.done)return{value:null,done:!0};let e=go.getTensorsInContainer(t.value),n=await this.transform(t.value),o=go.getTensorsInContainer(n);for(let s of e)go.isTensorInList(s,o)||s.dispose();return{value:n,done:!1}}},kc=class extends Je{constructor(){super(),this.outputQueue=new Tc,this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.outputQueue.length()===0;)if(!await this.pump())return{value:null,done:!0};return{value:this.outputQueue.shift(),done:!1}}},kN=class extends kc{constructor(t,e){super(),this.upstream=t,this.transform=e}summary(){return`${this.upstream.summary()} -> Flatmap`}async pump(){let t=await this.upstream.next();if(t.done)return!1;let e=go.getTensorsInContainer(t.value),n=this.transform(t.value),o=go.getTensorsInContainer(n);this.outputQueue.pushAll(n);for(let s of e)go.isTensorInList(s,o)||s.dispose();return!0}},Hb=class extends Je{constructor(t,e){super(),this.baseErrorHandler=e,this.lastRead=null,this.iterator=null,this.moreIterators=t}summary(){return"TODO: fill in upstream of chained summaries -> Chained"}async next(){return this.lastRead=this.readFromChain(this.lastRead),this.lastRead}async readFromChain(t){if(await t,this.iterator==null){let n=await this.moreIterators.next();if(n.done)return{value:null,done:!0};this.iterator=n.value,this.baseErrorHandler!=null&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler))}let e=await this.iterator.next();return e.done?(this.iterator=null,this.readFromChain(t)):e}},fl;(function(r){r[r.FAIL=0]="FAIL",r[r.SHORTEST=1]="SHORTEST",r[r.LONGEST=2]="LONGEST"})(fl||(fl={}));var EN=class extends Je{constructor(t,e=fl.FAIL){super(),this.iterators=t,this.mismatchMode=e,this.count=0,this.currentPromise=null}summary(){return"{TODO: fill in upstream of zip summaries} -> Zip"}async nextState(t){await t;let e=0,n=0;function o(i){return i instanceof Je?{value:i.next().then(u=>(e++,u.done&&n++,u.value)),recurse:!1}:{value:null,recurse:!0}}let s=await Wb(this.iterators,o);if(e===n)return{value:null,done:!0};if(n>0)switch(this.mismatchMode){case fl.FAIL:throw new Error(`Zipped streams should have the same length. Mismatched at element ${this.count}.`);case fl.SHORTEST:return{value:null,done:!0};case fl.LONGEST:default:}return this.count++,{value:s,done:!1}}async next(){return this.currentPromise=this.nextState(this.currentPromise),this.currentPromise}},qb=class extends Je{constructor(t,e){super(),this.upstream=t,this.bufferSize=e,this.buffer=new jf(e)}summary(){return`${this.upstream.summary()} -> Prefetch`}refill(){for(;!this.buffer.isFull();){let t=this.upstream.next();this.buffer.push(t)}}next(){return this.refill(),this.buffer.shift()}},_N=class extends qb{constructor(t,e,n){super(t,e),this.upstream=t,this.windowSize=e,this.upstreamExhausted=!1,this.random=gR.alea(n||y.now().toString()),this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}randomInt(t){return Math.floor(this.random()*t)}chooseIndex(){return this.randomInt(this.buffer.length())}async serialNext(){for(this.upstreamExhausted||this.refill();!this.buffer.isEmpty();){let t=this.chooseIndex(),e=await this.buffer.shuffleExcise(t);if(e.done)this.upstreamExhausted=!0;else return this.refill(),e}return{value:null,done:!0}}};var Js=class{constructor(){this.size=null}batch(t,e=!0){let n=this;y.assert(t>0,()=>`batchSize needs to be positive, but it is + ${t}`);let o;return this.size===1/0||this.size==null?o=this.size:e?o=Math.ceil(this.size/t):o=Math.floor(this.size/t),kn(async()=>(await n.iterator()).columnMajorBatch(t,e,G7),o)}concatenate(t){let e=this,n;return this.size===1/0||t.size===1/0?n=1/0:this.size!=null&&t.size!=null?n=this.size+t.size:n=null,kn(async()=>(await e.iterator()).concatenate(await t.iterator()),n)}filter(t){let e=this,n;return this.size===1/0?n=1/0:n=null,kn(async()=>(await e.iterator()).filter(o=>B(()=>t(o))),n)}async forEachAsync(t){return(await this.iterator()).forEachAsync(t)}map(t){let e=this;return kn(async()=>(await e.iterator()).map(n=>B(()=>t(n))),this.size)}mapAsync(t){let e=this;return kn(async()=>(await e.iterator()).mapAsync(t),this.size)}prefetch(t){if(t==null)throw new RangeError("`Dataset.prefetch()` requires bufferSize to be specified.");let e=this;return kn(async()=>(await e.iterator()).prefetch(t),this.size)}repeat(t){let e=this,n;return this.size!=null&&t>0?n=this.size*t:t===0?n=0:this.size!=null&&(t===void 0||t<0)?n=1/0:n=null,kn(async()=>{let o=Lh(async()=>({value:await e.iterator(),done:!1}));return xR(o.take(t))},n)}skip(t){let e=this,n;return this.size!=null&&t>=0&&this.size>=t?n=this.size-t:this.size!=null&&(this.size(await e.iterator()).skip(t),n)}shuffle(t,e,n=!0){if(t==null||t<0)throw this.size==null?new RangeError("`Dataset.shuffle()` requires bufferSize to be specified."):new RangeError(`\`Dataset.shuffle()\` requires bufferSize to be specified. If your data fits in main memory (for regular JS objects), and/or GPU memory (for \`tf.Tensor\`s), consider setting bufferSize to the dataset size (${this.size} elements)`);let o=this,s=bR.alea(e||y.now().toString());return kn(async()=>{let i=s.int32();return n&&(i+=s.int32()),(await o.iterator()).shuffle(t,i.toString())},this.size)}take(t){let e=this,n;return this.size!=null&&this.size>t?n=t:this.size!=null&&this.size<=t?n=this.size:n=null,kn(async()=>(await e.iterator()).take(t),n)}async toArray(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArray()}async toArrayForTest(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArrayForTest()}};Js.MAX_BUFFER_SIZE=1e4;function kn(r,t=null){return new class extends Js{constructor(){super(...arguments),this.size=t}async iterator(){return r()}}}function wR(r){return kn(async()=>AN(r),r.length)}function CR(r){if(!vu(r))throw new Error("The argument to zip() must be an object or array.");let t;if(Array.isArray(r))for(let e=0;e{let e=await Wb(r,n=>{if(n instanceof Js)return{value:n.iterator(),recurse:!1};if(vu(n))return{value:null,recurse:!0};throw new Error("Leaves of the structure passed to zip() must be Datasets, not primitives.")});return yR(e,fl.SHORTEST)},t)}function G7(r){if(r===null)return null;let t=r[0];return dR(t)?{value:W7(r),recurse:!1}:{value:null,recurse:!0}}function W7(r){if(r.length===0)throw new Error("Can't make a batch of zero elements.");return r[0]instanceof Ft?nr(r):ur(r)}var Xf=class extends Js{constructor(t){super(),this.input=t}async iterator(){return(await this.input.iterator()).decodeUTF8().split(` +`).map(o=>(o.endsWith("\r")&&(o=o.slice(0,-1)),o))}};var Kb='"',Mh=Symbol("out"),IR=Symbol("field"),jb=Symbol("quote"),$N=Symbol("quoteafterquote"),SR=Symbol("quoteinquote"),Yf=class extends Js{constructor(t,e){super(),this.input=t,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=",",this.delimWhitespace=!1,this.base=new Xf(t),e||(e={}),this.hasHeader=e.hasHeader!==!1,this.fullColumnNames=e.columnNames,this.columnConfigs=e.columnConfigs,this.configuredColumnsOnly=e.configuredColumnsOnly,e.delimWhitespace?(y.assert(e.delimiter==null,()=>"Delimiter should not be provided when delimWhitespace is true."),this.delimWhitespace=!0,this.delimiter=" "):this.delimiter=e.delimiter?e.delimiter:","}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){let t=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!t)throw new Error("Column names must be provided if there is no header line.");this.fullColumnNames&&t&&y.assert(t.length===this.fullColumnNames.length,()=>"The length of provided columnNames ("+this.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+t.length.toString()+")."),this.fullColumnNames||(this.fullColumnNames=t);let e=this.fullColumnNames.reduce((o,s)=>(o[s]=o[s]+1||1,o),{}),n=Object.keys(e).filter(o=>e[o]>1);if(y.assert(n.length===0,()=>"Duplicate column names found: "+n.toString()),this.columnConfigs){for(let o of Object.keys(this.columnConfigs))if(this.fullColumnNames.indexOf(o)===-1)throw new Error('The key "'+o+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").")}this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){let e=await(await this.base.iterator()).next();if(e.done)throw new Error("No data was found for CSV parsing.");let n=e.value;return this.parseRow(n,!1)}else return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let t=await this.base.iterator();return this.hasHeader&&(t=t.skip(1)),t.map(e=>this.makeDataElement(e))}makeDataElement(t){let e=this.parseRow(t),n={},o={};for(let s=0;s14||!Number.isInteger(e))throw new Error(`Invalid fftSize: it must be a power of 2 between 2 to 4 and 2 to 14, but got ${this.fftSize}`);if(this.numFrames=t.numFramesPerSpectrogram||43,this.sampleRateHz=t.sampleRateHz,this.columnTruncateLength=t.columnTruncateLength||this.fftSize,this.audioTrackConstraints=t.audioTrackConstraints,this.smoothingTimeConstant=t.smoothingTimeConstant||0,this.includeSpectrogram=t.includeSpectrogram!==!1,this.includeWaveform=t.includeWaveform===!0,!this.includeSpectrogram&&!this.includeWaveform)throw new Error("Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.")}summary(){return"microphone"}static async create(t={}){if(!z().get("IS_BROWSER"))throw new Error("microphone API is only supported in browser environment.");let e=new Zf(t);return await e.start(),e}async start(){try{this.stream=await navigator.mediaDevices.getUserMedia({audio:this.audioTrackConstraints==null?!0:this.audioTrackConstraints,video:!1})}catch(n){throw new Error(`Error thrown while initializing video stream: ${n.message}`)}if(!this.stream)throw new Error("Could not obtain audio from microphone.");let t=window.AudioContext||window.webkitAudioContext;if(this.audioContext=new t,!this.sampleRateHz)this.sampleRateHz=this.audioContext.sampleRate;else if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error(`Mismatch in sampling rate: Expected: ${this.sampleRateHz}; Actual: ${this.audioContext.sampleRate}`);let e=this.audioContext.createMediaStreamSource(this.stream);this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=this.fftSize*2,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,e.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize)}async next(){if(this.isClosed)return{value:null,done:!0};let t,e,n=await this.getAudioData();if(this.includeSpectrogram){let o=this.flattenQueue(n.freqDataQueue);t=this.getTensorFromAudioDataArray(o,[this.numFrames,this.columnTruncateLength,1])}if(this.includeWaveform){let o=this.flattenQueue(n.timeDataQueue);e=this.getTensorFromAudioDataArray(o,[this.numFrames*this.fftSize,1])}return{value:{spectrogram:t,waveform:e},done:!1}}async capture(){return(await this.next()).value}async getAudioData(){let t=[],e=[],n=0;return new Promise(o=>{let s=setInterval(()=>{this.includeSpectrogram&&(this.analyser.getFloatFrequencyData(this.freqData),this.freqData[0]===-1/0&&o({freqDataQueue:t,timeDataQueue:e}),t.push(this.freqData.slice(0,this.columnTruncateLength))),this.includeWaveform&&(this.analyser.getFloatTimeDomainData(this.timeData),e.push(this.timeData.slice())),++n===this.numFrames&&(clearInterval(s),o({freqDataQueue:t,timeDataQueue:e}))},this.fftSize/this.sampleRateHz*1e3)})}stop(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),this.stream!=null&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())}toArray(){throw new Error("Can not convert infinite audio stream to array.")}getSampleRate(){return this.sampleRateHz}flattenQueue(t){let e=t[0].length,n=new Float32Array(t.length*e);return t.forEach((o,s)=>n.set(o,s*e)),n}getTensorFromAudioDataArray(t,e){let n=new Float32Array(y.sizeFromShape(e));return n.set(t,n.length-t.length),ur(n,e)}};var Jf=class extends Je{constructor(t,e){if(super(),this.webcamVideoElement=t,this.webcamConfig=e,this.isClosed=!0,this.resize=!1,this.needToResize())if(this.resize=!0,this.cropSize=[this.webcamConfig.resizeHeight,this.webcamConfig.resizeWidth],this.cropBoxInd=Me([0],"int32"),this.webcamConfig.centerCrop){let n=this.webcamConfig.resizeWidth*1/this.webcamVideoElement.width,o=this.webcamConfig.resizeHeight*1/this.webcamVideoElement.height,s=(1-n)/2,i=(1-o)/2,a=s+n,u=o+i;this.cropBox=Vs([i,s,u,a],[1,4])}else this.cropBox=Vs([0,0,1,1],[1,4])}summary(){return"webcam"}static async create(t,e={}){if(!z().get("IS_BROWSER"))throw new Error("tf.data.webcam is only supported in browser environment.");if(!t){if(t=document.createElement("video"),!e.resizeWidth||!e.resizeHeight)throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");t.width=e.resizeWidth,t.height=e.resizeHeight}let n=new Jf(t,e);return await n.start(),n}async start(){this.webcamConfig.facingMode&&y.assert(this.webcamConfig.facingMode==="user"||this.webcamConfig.facingMode==="environment",()=>`Invalid webcam facing mode: ${this.webcamConfig.facingMode}. Please provide 'user' or 'environment'`);try{this.stream=await navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:"user",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}})}catch(t){throw t.message=`Error thrown while initializing video stream: ${t.message}`,t}if(!this.stream)throw new Error("Could not obtain video from webcam.");try{this.webcamVideoElement.srcObject=this.stream}catch(t){console.log(t),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,new Promise(t=>{this.webcamVideoElement.onloadedmetadata=()=>{t()}})}async next(){if(this.isClosed)return{value:null,done:!0};let t;try{t=nx.fromPixels(this.webcamVideoElement)}catch(e){throw new Error(`Error thrown converting video to pixels: ${JSON.stringify(e)}`)}if(this.resize)try{return{value:this.cropAndResizeFrame(t),done:!1}}catch(e){throw new Error(`Error thrown cropping the video: ${e.message}`)}finally{t.dispose()}else return{value:t,done:!1}}needToResize(){return!!(this.webcamConfig.resizeWidth&&this.webcamConfig.resizeHeight&&(this.webcamVideoElement.width!==this.webcamConfig.resizeWidth||this.webcamVideoElement.height!==this.webcamConfig.resizeHeight))}cropAndResizeFrame(t){return B(()=>{let e=rr(J(t,"float32"),0),n;n=Gs.cropAndResize(e,this.cropBox,this.cropBoxInd,this.cropSize,"bilinear");let o=n.shape;return R(n,o.slice(1))})}async capture(){return(await this.next()).value}stop(){this.stream.getTracks().forEach(e=>e.stop());try{this.webcamVideoElement.srcObject=null}catch(e){console.log(e),this.webcamVideoElement.src=null}this.isClosed=!0}toArray(){throw new Error("Can not convert infinite video stream to array.")}};var Qf=class{};var zh=class extends Je{split(t){return new DN(this,t)}},DN=class extends zh{constructor(t,e){super(),this.upstream=t,this.impl=new RN(t,e)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},RN=class extends kc{constructor(t,e){super(),this.upstream=t,this.separator=e,this.carryover=""}summary(){return`${this.upstream.summary()} -> Split('${this.separator}')`}async pump(){let t=await this.upstream.next();if(t.done)return this.carryover===""?!1:(this.outputQueue.push(this.carryover),this.carryover="",!0);let e=t.value.split(this.separator);e[0]=this.carryover+e[0];for(let n of e.slice(0,-1))this.outputQueue.push(n);return this.carryover=e[e.length-1],!0}};var Xb=class extends Je{decodeUTF8(){return new FN(this)}},FN=class extends zh{constructor(t){super(),this.upstream=t,this.impl=new ON(t)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},ON=class extends kc{constructor(t){if(super(),this.upstream=t,z().get("IS_BROWSER"))this.decoder=new TextDecoder("utf-8");else{let{StringDecoder:e}=gN();this.decoder=new e("utf8")}}summary(){return`${this.upstream.summary()} -> Utf8`}async pump(){let t=await this.upstream.next(),e;if(t.done)return!1;e=t.value;let n;return z().get("IS_BROWSER")?n=this.decoder.decode(e,{stream:!0}):n=this.decoder.write(Buffer.from(e.buffer)),this.outputQueue.push(n),!0}};var td=class extends Xb{constructor(t,e={}){super(),this.file=t,this.options=e,y.assert(t instanceof Uint8Array||(z().get("IS_BROWSER")?t instanceof File||t instanceof Blob:!1),()=>"FileChunkIterator only supports File, Blob and Uint8Array right now."),this.offset=e.offset||0,this.chunkSize=e.chunkSize||1024*1024}summary(){return`FileChunks ${this.file}`}async next(){return this.offset>=(this.file instanceof Uint8Array?this.file.byteLength:this.file.size)?{value:null,done:!0}:{value:await new Promise((e,n)=>{let o=this.offset+this.chunkSize;if(this.file instanceof Uint8Array)e(new Uint8Array(this.file.slice(this.offset,o)));else{let s=new FileReader;s.onload=a=>{let u=s.result;if(u instanceof ArrayBuffer&&(u=new Uint8Array(u)),!(u instanceof Uint8Array))return n(new TypeError("FileReader returned unknown type."));e(u)},s.onabort=a=>n(new Error("Aborted")),s.onerror=a=>n(new Error(a.type));let i=this.file.slice(this.offset,o);s.readAsArrayBuffer(i)}this.offset=o}),done:!1}}};async function vR(r,t={},e){let n,o;typeof r=="string"?n=r:(n=r.url,o=U7(r));let s=await(e||y.fetch)(n,o);if(s.ok){let i=new Uint8Array(await s.arrayBuffer());return new td(i,t)}else throw new Error(s.statusText)}var U7=r=>({method:r.method,headers:r.headers,body:r.body,mode:r.mode,credentials:r.credentials,cache:r.cache,redirect:r.redirect,referrer:r.referrer,integrity:r.integrity});function Yb(r){return typeof r=="string"&&r.slice(0,7)==="file://"}var ed=class extends Qf{constructor(t,e={}){super(),this.input=t,this.options=e}async iterator(){if(Yb(this.input)&&z().get("IS_NODE")){let t=Zb();this.input=t.readFileSync(this.input.slice(7))}return new td(this.input,this.options)}};var rd=class extends Qf{constructor(t,e={}){super(),this.url=t,this.fileOptions=e}async iterator(){return Yb(this.url)?new ed(this.url,this.fileOptions).iterator():vR(this.url,this.fileOptions)}};function NR(r,t={}){return new Yf(new rd(r),t)}function TR(r){let t=Lh(r);return kn(async()=>t)}function kR(r){return kn(async()=>{let t=await r();return Lh(()=>t.next())})}async function ER(r,t){return Jf.create(r,t)}async function _R(r){return Zf.create(r)}var PN="4.0.0";function tt(r,t){Array.isArray(r)||(r=[r]),r.forEach(e=>{e!=null&&y.assert(e.dtype!=="complex64",()=>`${t} does not support complex64 tensors in the CPU backend.`)})}var H7=Ur.whereImpl,Nu=class extends zo{constructor(){super(),this.blockSize=48,this.firstUse=!0,this.data=new ra(this,Pn())}nextDataId(){return Nu.nextDataId++}write(t,e,n){this.firstUse&&(this.firstUse=!1,z().get("IS_NODE")&&v.warn(` ============================ Hi, looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, visit https://github.com/tensorflow/tfjs-node for more details. -============================`));let o={id:this.nextDataId()};return this.data.set(o,{values:t,dtype:n,refCount:1}),o}makeTensorInfo(t,e,n){let o;if(e==="string"&&n!=null&&n.length>0&&y.isString(n[0])){let s=n.map(i=>y.encodeString(i));o=this.write(s,t,e)}else o=this.write(n,t,e);return{dataId:o,shape:t,dtype:e}}refCount(t){return this.data.has(t)?this.data.get(t).refCount:0}incRef(t){let e=this.data.get(t);e.refCount++}decRef(t){if(this.data.has(t)){let e=this.data.get(t);e.refCount--}}move(t,e,n,o,s){this.data.set(t,{values:e,dtype:o,refCount:s})}numDataIds(){return this.data.numDataIds()}async read(t){return this.readSync(t)}readSync(t){let{dtype:e,complexTensorInfos:n}=this.data.get(t);if(e==="complex64"){let o=this.readSync(n.real.dataId),s=this.readSync(n.imag.dataId);return S.mergeRealAndImagArrays(o,s)}return this.data.get(t).values}bufferSync(t){let e=this.readSync(t.dataId);if(t.dtype==="string")try{let n=e.map(o=>y.decodeString(o));return wt(t.shape,t.dtype,n)}catch(n){throw new Error("Failed to decode encoded string bytes into utf-8")}return wt(t.shape,t.dtype,e)}makeOutput(t,e,n){return ho().makeTensorFromTensorInfo(this.makeTensorInfo(e,n,t),this)}disposeData(t,e=!1){if(this.data.has(t)){if(this.data.get(t).refCount--,!e&&this.data.get(t).refCount>0)return!1;let{complexTensorInfos:n}=this.data.get(t);n!=null&&(this.disposeData(n.real.dataId,!0),this.disposeData(n.imag.dataId,!0)),this.data.delete(t)}return!0}disposeIntermediateTensorInfo(t){this.disposeData(t.dataId)}async time(t){let e=y.now();return t(),{kernelMs:y.now()-e}}memory(){return{unreliable:!0,reasons:["The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less."]}}where(t){tt([t],"where");let e=this.readSync(t.dataId);return A7(t.shape,e)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}};Su.nextDataId=0;var iw={};Gt(iw,{addImpl:()=>FN,bincountImpl:()=>rd,bincountReduceImpl:()=>Kb,castImpl:()=>RN,ceilImpl:()=>ON,concatImpl:()=>Ec,equalImpl:()=>PN,expImpl:()=>MN,expm1Impl:()=>BN,floorImpl:()=>VN,gatherNdImpl:()=>jb,gatherV2Impl:()=>Xb,greaterEqualImpl:()=>WN,greaterImpl:()=>GN,lessEqualImpl:()=>HN,lessImpl:()=>UN,linSpaceImpl:()=>Yb,logImpl:()=>qN,maxImpl:()=>Zb,maximumImpl:()=>KN,minimumImpl:()=>jN,multiplyImpl:()=>Oh,negImpl:()=>XN,notEqualImpl:()=>YN,prodImpl:()=>ZN,raggedGatherImpl:()=>Jb,raggedTensorToTensorImpl:()=>Qb,rangeImpl:()=>Ac,rsqrtImpl:()=>JN,scatterImpl:()=>ml,sigmoidImpl:()=>ZR,simpleAbsImpl:()=>DN,sliceImpl:()=>$c,sparseFillEmptyRowsImpl:()=>tw,sparseReshapeImpl:()=>ew,sparseSegmentReductionImpl:()=>sd,sqrtImpl:()=>tF,squaredDifferenceImpl:()=>tk,stridedSliceImpl:()=>rw,stringNGramsImpl:()=>Dc,stringSplitImpl:()=>Rc,stringToHashBucketFastImpl:()=>Fc,subImpl:()=>rk,tileImpl:()=>nw,topKImpl:()=>ow,transposeImpl:()=>nd,uniqueImpl:()=>sw});function DN(r){let t=new Float32Array(r.length);for(let e=0;e{let{x:t}=r.inputs,e=r.backend;tt(t,"abs");let n=new Float32Array(y.sizeFromShape(t.shape)),o=e.data.get(t.dataId).values;return n=DN(o),e.makeOutput(n,t.shape,t.dtype)},SR={kernelName:oi,backendName:"cpu",kernelFunc:$7};function Qt(r){return(t,e,n,o,s)=>{let i=S.assertAndGetBroadcastShape(t,e),a=i.length,u=y.computeStrides(i),l=y.sizeFromShape(i),c=y.getTypedArrayFromDType(s,l),p=t.length,m=e.length,f=y.computeStrides(t),d=y.computeStrides(e),h=S.getBroadcastDims(t,i),g=S.getBroadcastDims(e,i);if(h.length+g.length===0)for(let x=0;xw[A]=0);let C=y.locToIndex(w,p,f),N=b.slice(-m);g.forEach(A=>N[A]=0);let _=y.locToIndex(N,m,d);c[x]=r(n[C],o[_])}return[c,i]}}function br(r){let{inputs:t,backend:e}=r,{real:n,imag:o}=t,s=e.data.get(n.dataId).values,i=e.data.get(o.dataId).values,a=e.makeTensorInfo(n.shape,"complex64"),u=e.data.get(a.dataId);return u.complexTensorInfos={real:e.makeTensorInfo(n.shape,"float32",s),imag:e.makeTensorInfo(o.shape,"float32",i)},a}var NR={kernelName:pp,backendName:"cpu",kernelFunc:br};function td(r,t,e="float32"){if(e==="complex64"){let o=td(r,t,"float32"),s=td(r,t,"float32");return br({inputs:{real:o,imag:s},backend:r})}let n=y.makeZerosTypedArray(y.sizeFromShape(t),e);return r.makeTensorInfo(t,e,n)}function qr(r){let{inputs:t,backend:e}=r,{x:n}=t;return e.incRef(n.dataId),{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}var kR={kernelName:lo,backendName:"cpu",kernelFunc:qr};function _o(r){let{inputs:t,backend:e}=r,{input:n}=t,o=e.data.get(n.dataId).complexTensorInfos.real,s=e.data.get(o.dataId).values;return e.makeTensorInfo(o.shape,o.dtype,s)}var TR={kernelName:Dp,backendName:"cpu",kernelFunc:_o};function RN(r,t,e,n){if(n==="int32"){let o=Int32Array.from(r);return[t,"int32",o]}if(n==="bool"){let o=y.toTypedArray([0],e),[s,i]=Qt((a,u)=>a!==u?1:0)(t,[],r,o,"bool");return[i,"bool",s]}throw new Error(`Error in Cast: failed to cast ${e} to ${n}`)}function Ao(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dtype:s}=n;if(s==="complex64"){if(o.dtype==="complex64")return qr({inputs:{x:o},backend:e});let c=td(e,o.shape,o.dtype),p=Ao({inputs:{x:o},backend:e,attrs:{dtype:"float32"}}),m=br({inputs:{real:p,imag:c},backend:e});return e.disposeIntermediateTensorInfo(c),e.disposeIntermediateTensorInfo(p),m}if(o.dtype==="complex64"){let c=_o({inputs:{input:o},backend:e}),p=Ao({inputs:{x:c},backend:e,attrs:{dtype:s}});return e.disposeIntermediateTensorInfo(c),p}if(!y.hasEncodingLoss(o.dtype,s)){let c=qr({inputs:{x:o},backend:e});return{dataId:c.dataId,shape:c.shape,dtype:s}}let i=e.data.get(o.dataId).values,[a,u,l]=RN(i,o.shape,o.dtype,s);return e.makeTensorInfo(a,u,l)}var ER={kernelName:io,backendName:"cpu",kernelFunc:Ao};function oe(r,t,e,n){return e==null?({inputs:o,backend:s})=>{let{a:i,b:a}=o,u=s;tt([i,a],r);let l=u.data.get(i.dataId).values,c=u.data.get(a.dataId).values,p=i.dtype==="string"?S.fromUint8ToStringArray(l):l,m=i.dtype==="string"?S.fromUint8ToStringArray(c):c,f=n||i.dtype,[d,h]=t(i.shape,a.shape,p,m,f);return u.makeTensorInfo(h,f,d)}:({inputs:o,backend:s})=>{let{a:i,b:a}=o,u=s;if(i.dtype==="complex64"||a.dtype==="complex64"){let l=Ao({inputs:{x:i},backend:u,attrs:{dtype:"complex64"}}),c=u.data.get(l.dataId),p=c.complexTensorInfos.real,m=c.complexTensorInfos.imag,f=u.data.get(p.dataId).values,d=u.data.get(m.dataId).values,h=Ao({inputs:{x:a},backend:u,attrs:{dtype:"complex64"}}),g=u.data.get(h.dataId),x=g.complexTensorInfos.real,b=g.complexTensorInfos.imag,w=u.data.get(x.dataId).values,C=u.data.get(b.dataId).values,[N,_,A]=e(i.shape,a.shape,f,d,w,C),$=u.makeTensorInfo(A,"float32",N),F=u.makeTensorInfo(A,"float32",_),P=br({inputs:{real:$,imag:F},backend:u});return u.disposeIntermediateTensorInfo(l),u.disposeIntermediateTensorInfo(h),u.disposeIntermediateTensorInfo($),u.disposeIntermediateTensorInfo(F),P}else{let l=u.data.get(i.dataId).values,c=u.data.get(a.dataId).values,p=n||i.dtype,[m,f]=t(i.shape,a.shape,l,c,p);return u.makeTensorInfo(f,p,m)}}}function ed(r){return(t,e,n,o,s,i)=>{let a=S.assertAndGetBroadcastShape(t,e),u=y.sizeFromShape(a),l=a.length,c=y.computeStrides(a),p=y.getTypedArrayFromDType("float32",u),m=y.getTypedArrayFromDType("float32",u),f=S.getBroadcastDims(t,a),d=S.getBroadcastDims(e,a),h=S.mergeRealAndImagArrays(n,o),g=S.mergeRealAndImagArrays(s,i),x=t.length,b=y.computeStrides(t),w=e.length,C=y.computeStrides(e);if(f.length+d.length===0)for(let N=0;NA[G]=0);let $=y.locToIndex(A,x,b),F=_.slice(-w);d.forEach(G=>F[G]=0);let P=y.locToIndex(F,w,C),V=r(h[$*2],h[$*2+1],g[P*2],g[P*2+1]);p[N]=V.real,m[N]=V.imag}return[p,m,a]}}var FN=Qt((r,t)=>r+t),D7=ed((r,t,e,n)=>({real:r+e,imag:t+n})),Hi=oe(Yn,FN,D7),_R={kernelName:Yn,backendName:"cpu",kernelFunc:Hi};function rd(r,t,e,n,o){let s=y.sizeFromShape(n),i=y.makeZerosTypedArray(o,e);for(let a=0;a=o||(s>0?i[u]+=t[a]:i[u]+=1)}return i}function Kb(r,t,e,n=!1){let o=r.shape[0],s=r.shape[1],i=wt([o,e],t.dtype);for(let a=0;a=e||(n?i.set(1,a,l):t.size>0?i.set(i.get(a,l)+t.get(a,u),a,l):i.set(i.get(a,l)+1,a,l))}return i}function xn(r){return(t,e,n)=>{let o=y.getTypedArrayFromDType(e,t.length);for(let s=0;s{let{x:i}=n;if(tt(i,r),i.dtype==="string"||e==="string")throw new Error("unaryKernelFunc does not support string input/output");let a=s,u=a.data.get(i.dataId).values,l=y.sizeFromShape(i.shape),c=e||i.dtype,p=y.getArrayFromDType(c,l);for(let m=0;m{let{x:i}=n;if(tt(i,r),i.dtype==="string"||e==="string")throw new Error("unaryKernelFunc does not support string input/output");let a=s,u=a.data.get(i.dataId).values,l=e||i.dtype,c=t(u,l,o);return a.makeTensorInfo(i.shape,l,c)}}var ON=xn(r=>Math.ceil(r)),R7=$o(Ho,ON),AR={kernelName:Ho,backendName:"cpu",kernelFunc:R7};function Ec(r,t,e,n){let o=y.getArrayFromDType(e,y.sizeFromShape(t));if(n&&e!=="string"){let s=0;r.forEach(i=>{let a=y.sizeFromShape(i.shape);o.set(i.vals,s),s+=a})}else{let s=0;r.forEach(i=>{let a=e==="string"?S.fromUint8ToStringArray(i.vals):i.vals,u=0;for(let l=0;lr===t?1:0),LN=oe(ha,PN,null,"bool"),$R={kernelName:ha,backendName:"cpu",kernelFunc:LN};var MN=xn(r=>Math.exp(r)),zN=$o(ts,MN,"float32"),DR={kernelName:ts,backendName:"cpu",kernelFunc:zN};var BN=xn(r=>Math.expm1(r)),F7=$o(ga,BN),RR={kernelName:ga,backendName:"cpu",kernelFunc:F7};var VN=xn(r=>Math.floor(r)),O7=$o(es,VN),FR={kernelName:es,backendName:"cpu",kernelFunc:O7};function jb(r,t,e,n,o,s,i,a,u){let l=wt([n,s],e);for(let c=0;c=u/s)throw new Error(`Invalid indices: ${p} does not index into ${a}`);for(let f=0;fr>t?1:0),P7=oe(ba,GN,null,"bool"),OR={kernelName:ba,backendName:"cpu",kernelFunc:P7};var WN=Qt((r,t)=>r>=t?1:0),L7=oe(os,WN,null,"bool"),PR={kernelName:os,backendName:"cpu",kernelFunc:L7};var UN=Qt((r,t)=>rr<=t?1:0),z7=oe(Sa,HN,null,"bool"),MR={kernelName:Sa,backendName:"cpu",kernelFunc:z7};function Yb(r,t,e){let n=(t-r)/(e-1),o=y.makeZerosTypedArray(e,"float32");o[0]=r;for(let s=1;sMath.log(r)),B7=$o(is,qN),zR={kernelName:is,backendName:"cpu",kernelFunc:B7};function Zb(r,t,e,n){let o=y.getTypedArrayFromDType(n,y.sizeFromShape(e));for(let s=0;sa)&&(a=l)}o[s]=a}return o}var KN=Qt((r,t)=>Math.max(r,t)),V7=oe(ls,KN),BR={kernelName:ls,backendName:"cpu",kernelFunc:V7};var jN=Qt((r,t)=>Math.min(r,t)),G7=oe(ms,jN),VR={kernelName:ms,backendName:"cpu",kernelFunc:G7};var Oh=Qt((r,t)=>r*t),W7=ed((r,t,e,n)=>({real:r*e-t*n,imag:r*n+t*e})),_c=oe(ds,Oh,W7),GR={kernelName:ds,backendName:"cpu",kernelFunc:_c};function XN(r,t,e){let n=y.createScalarValue(-1,e);return Oh([],t,n,r,e)}function U7(r){let{inputs:t,backend:e}=r,{x:n}=t;tt(n,"neg");let o=e.data.get(n.dataId).values,[s,i]=XN(o,n.shape,n.dtype);return e.makeTensorInfo(i,n.dtype,s)}var WR={kernelName:ui,backendName:"cpu",kernelFunc:U7};var YN=Qt((r,t)=>r!==t?1:0),H7=oe(Aa,YN,null,"bool"),UR={kernelName:Aa,backendName:"cpu",kernelFunc:H7};function nd(r,t,e,n,o){let s=t.length,i=y.sizeFromShape(t),a=y.computeStrides(t),u=y.computeStrides(o),l=y.getTypedArrayFromDType(e,y.sizeFromShape(o));for(let c=0;ce.disposeIntermediateTensorInfo(b)),e.makeTensorInfo(x,g,d)}var qR={kernelName:bs,backendName:"cpu",kernelFunc:q7};function K7(r,t,e){r.forEach((n,o)=>{if(n<0||n>=e){let s=y.indexToLoc(o,t.length,y.computeStrides(t)).join(",");throw new Error(`indices[${s}] = ${n} is not in [0, ${e})`)}})}function j7(r,t){for(let e=0;eo)throw new Error("Ragged splits must not point past values");for(let s=1;sn[s])throw new Error("Ragged splits must be sorted in ascending order")}}function X7(r,t,e,n){let o=[],s=0,i=t.length-1+e.length,a=new Array(i).fill(null).map(()=>[0]);j7(e,n);let u=1;for(let l=0;l=0){let h=a[d],g=h[h.length-1]-f[c];for(let x=c;xo[i]=s)}return t}function KR(r,t){let e=r.slice(0,t);for(;e.lengthn&&(n=s)}return n}static getMaxWidthValueRowID(t){let e=t.length;if(e===0)return 0;let n=0,o=t[0],s=0;for(let i=1;i"Final length of result must be equal to firstDimension."),s}calculateOutputIndexRowSplit(t,e,n,o){let s=t.length,i=[];for(let a=0;a0&&i.length!==t[s-1])throw new Error("Invalid row split size.");return i}calculateOutputIndexValueRowID(t,e,n,o){let s=t.length,i=[];if(s===0)return[];let a=0,u=t[0];if(u>=e.length)throw new Error(`Got currentValueRowId=${u}, which is not less than ${e.length}`);let l=e[u];i.push(l);for(let c=1;c=0&&(++a,a=e.length)throw new Error(`Got nextValueRowId=${p} which is not less than ${e.length}`);l=e[p]}i.push(l)}if(i.length!==t.length)throw new Error("Invalid row ids.");return i}calculateOutputIndex(t,e,n,o){let s=this.getRowPartitionTensor(t),i=this.getRowPartitionTypeByDimension(t);switch(i){case Do.VALUE_ROWIDS:return this.calculateOutputIndexValueRowID(s,e,n,o);case Do.ROW_SPLITS:if(s.length-1>e.length)throw new Error(`Row partition size is greater than output size: ${s.length-1} > ${e.length}`);return this.calculateOutputIndexRowSplit(s,e,n,o);default:throw new Error(`Unsupported partition type: ${Do[i]}`)}}getFirstDimensionSize(){let t=this.rowPartitionValues[0];if(this.rowPartitionTypes.length===0)throw new Error("No row_partition_types given.");let e=this.rowPartitionTypes[0];switch(e){case Do.FIRST_DIM_SIZE:return t[0];case Do.VALUE_ROWIDS:throw new Error("Cannot handle VALUE_ROWIDS in first dimension.");case Do.ROW_SPLITS:return this.rowPartitionValuesShapes[0][0]-1;default:throw new Error(`Cannot handle type ${Do[e]}`)}}compute(){if(this.rowPartitionValues[0].length<=0)throw new Error("Invalid first partition input. Tensor requires at least one element.");let e=this.getFirstDimensionSize(),n=this.calculateOutputSize(e),o=new Array(this.raggedRank+1);o[o.length-1]=1;for(let u=o.length-2;u>=0;--u)o[u]=o[u+1]*n[u+1];let s=XR(n,!1),i=y.getArrayFromDType(this.valuesDType,y.sizeFromShape(s));if(o[0]*n[0]>0){let u=this.calculateFirstParentOutputIndex(e,o[0],n[0]);for(let l=1;l<=this.raggedRank;++l)u=this.calculateOutputIndex(l-1,u,o[l],n[l]);this.setOutput(this.raggedRank,u,i,s)}return[s,i]}setOutput(t,e,n,o){if(n.length===0)return;let s=this.values,i=n,a=o.slice();a=a.slice(t+1);let u=y.sizeFromShape(a),l=e.length,c=this.defaultValue;if(c.length!==u&&c.length!==1){let d=this.defaultValueShape;B(()=>{let h=D(c,d);c=$i(h,a).dataSync()})}let p=0,m=0,f=0;for(let d=0;d<=l;++d){let h=d=l){let g=n.length;h=Math.floor(g/u)}if(h>f)if(this.defaultValue.length===1)i.subarray(f*u,h*u).fill(this.defaultValue[0]),f=h;else for(;h>f;){let g=i.slice(f*u);jR(g,c,u),++f}h<0?(p=d+1,m=f):(p=d,m=f,f=m+1)}}};function jR(r,t,e){for(let n=0;n= 0`);if(n<-1)throw new Error(`Dimension ${n} must be >= -1`);n=-1}e.push(n)}return e}function Qb(r,t,e,n,o,s,i,a,u,l){return new od(r,t,e,n,o,s,i,a,u,l).compute()}function Ac(r,t,e,n){let o=r===t,s=r1;if(o||s||i)return y.makeZerosTypedArray(0,n);let a=Math.abs(Math.ceil((t-r)/e)),u=y.makeZerosTypedArray(a,n);t1/Math.sqrt(r)),Q7=$o(ks,JN),YR={kernelName:ks,backendName:"cpu",kernelFunc:Q7};function ml(r,t,e,n,o,s,i,a,u,l){let c=[n/o,o],p=r.values,m=t.values;if(n===0)return wt(e,t.dtype);let f=wt(c,t.dtype);typeof u=="string"||typeof u=="number"?f.values.fill(u):typeof u=="boolean"&&f.values.fill(+u);for(let d=0;d=n/o)throw new Error(`Invalid indices: ${h} does not index into ${e}`);for(let x=0;x1/(1+Math.exp(-r))),QN=kt(Es,r=>1/(1+Math.exp(-r))),JR={kernelName:Es,backendName:"cpu",kernelFunc:QN};function $c(r,t,e,n,o){let s=Pe.isSliceContinous(n,t,e),i=y.sizeFromShape(e),a=y.computeStrides(n);if(s){let p=Pe.computeFlatOffset(t,a);return o==="string"?r.slice(p,p+i):r.subarray(p,p+i)}let u=o==="string"?S.fromUint8ToStringArray(r):r,l=wt(n,o,u),c=wt(e,o);for(let p=0;pd+t[h]);c.set(l.get(...f),...m)}return o==="string"?S.fromStringArrayToUint8(c.values):c.values}function Ro(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,size:i}=n;tt(o,"slice");let[a,u]=Pe.parseSliceParams(o,s,i);Pe.assertParamsValid(o,a,u);let l=e.data.get(o.dataId).values,c=$c(l,a,u,o.shape,o.dtype);return e.makeTensorInfo(u,o.dtype,c)}var QR={kernelName:di,backendName:"cpu",kernelFunc:Ro};function tw(r,t,e,n,o,s,i){let a=t[0],u=s[0],l=new Array(u),c=new Array(a),p=t[1];if(u===0){if(a!==0)throw new Error(S.getSparseFillEmptyRowsIndicesDenseShapeMismatch(a));let g=y.getArrayFromDType(e,0),x=y.getArrayFromDType(o,0);return[g,[0,p],x,l,c]}let m=!0,f=0,d=new Array(u).fill(0);for(let g=0;g=u)throw new Error(S.getSparseFillEmptyRowsOutOfRangeIndexErrorMessage(g,x,u));++d[x],m=m&&x>=f,f=x}let h=!0;for(let g=0;g0&&(d[g]+=d[g-1])}if(h&&m){let g=r,x=n;for(let b=0;b0){f[m-1]=1;for(let g=m-2;g>=0;--g)f[g]=f[g+1]*n[g+1]}let d=[];if(a>0){d[a-1]=1;for(let g=a-2;g>=0;--g)d[g]=d[g+1]*u[g+1]}let h=y.getArrayFromDType(e,i*a);for(let g=0;g0?o[a-1]+1:0;if(p<0)throw new Error(S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let m=t.slice();m[0]=p;let f=m.reduce((w,C)=>w*C,1),d=y.getArrayFromDType(e,f);if(a===0)return p>0&&d.fill(i),[d,m];if(p<=0)throw new Error(S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let h=0,g=1,x=0,b=o[h];for(;;){let w=0;if(g=w)throw new Error(S.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage())}if(b<0||b>=p)throw new Error(S.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(b,p));b>x&&d.fill(i,x*l,b*l);for(let C=h;C=u[0])throw new Error(S.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(C,n[C],u[0]));for(let _=0;_a)break}return xMath.sqrt(r)),tJ=kt(_s,r=>Math.sqrt(r)),eF={kernelName:_s,backendName:"cpu",kernelFunc:tJ};var tk=Qt((r,t)=>{let e=r-t;return e*e}),eJ=oe(Ds,tk),rF={kernelName:Ds,backendName:"cpu",kernelFunc:eJ};function rw(r,t,e,n){let o=wt(r,t.dtype);for(let s=0;s0?0:a-u),f=0;f+=l*this.leftPad.length;for(let b=0;bb.forEach(w=>h[g++]=w);for(let b=0;b0){x(t[m+p-1]);for(let b=0;b0){let u=e[0];if(u!==0)throw new Error(`First split value must be 0, got ${u}`);for(let l=1;l=u;if(c=c&&e[l]<=n,!c)throw new Error(`Invalid split value ${e[l]}, must be in [${u}, ${n}]`);u=e[l]}if(u!==n)throw new Error(`Last split value must be data size. Expected ${n}, got ${u}`)}let s=o-1,i=y.getArrayFromDType("int32",o);if(n===0||o===0){let u=new Array(n);for(let l=0;l<=s;++l)i[l]=0;return[u,i]}i[0]=0;for(let u=1;u<=s;++u){let l=e[u]-e[u-1],c=0;this.nGramWidths.forEach(p=>{c+=this.getNumNGrams(l,p)}),this.preserveShort&&l>0&&c===0&&(c=1),i[u]=i[u-1]+c}let a=new Array(i[s]);for(let u=0;u{let m=e[u+1]-e[u],f=this.getNumNGrams(m,p);this.createNGrams(t,l,a,c,f,p),c+=f}),this.preserveShort&&c===i[u]){let p=e[u+1]-e[u];if(p===0)continue;let m=p+2*this.padWidth,f=1;this.createNGrams(t,l,a,c,f,m)}}return[a,i]}};function Dc(r,t,e,n,o,s,i,a){return new ek(e,n,o,s,i,a).compute(r,t)}function rJ(r,t,e,n){if(!r.length)return;if(t.length===0){for(let s=0;sr-t),nJ=ed((r,t,e,n)=>({real:r-e,imag:t-n})),Ph=oe(Rs,rk,nJ),nF={kernelName:Rs,backendName:"cpu",kernelFunc:Ph};function nw(r,t){let e=new Array(r.rank);for(let o=0;o{let e=t.value-r.value;return e===0?r.index-t.index:e};function oF(r,t,e=0,n=r.length-1){for(;n>e;){if(n-e>600){let a=n-e+1,u=t-e+1,l=Math.log(a),c=.5*Math.exp(2*l/3),p=.5*Math.sqrt(l*c*(a-c)/a)*Math.sign(u-a/2),m=Math.max(e,Math.floor(t-u*c/a+p)),f=Math.min(n,Math.floor(t+(a-u)*c/a+p));oF(r,t,m,f)}let o=r[t],s=e,i=n;for(y.swap(r,e,t),Lh(r[n],o)>0&&y.swap(r,e,n);s0;)i=i-1}Lh(r[e],o)===0?y.swap(r,e,i):(i=i+1,y.swap(r,i,n)),i<=t&&(e=i+1),t<=i&&(n=i-1)}}function ow(r,t,e,n,o){let s=t[t.length-1],[i,a]=[r.length/s,s],u=y.getTypedArrayFromDType(e,i*n),l=y.getTypedArrayFromDType("int32",i*n);for(let p=0;pd[w]={value:b,index:w}),n{for(let g=0;gnew Su,1);var nk=kt(Qo,r=>r>=0?r:Math.exp(r)-1),sF={kernelName:Qo,backendName:"cpu",kernelFunc:nk};function ok(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{alpha:s}=n;tt([o],"leakyRelu");let i=y.sizeFromShape(o.shape),a=e.data.get(o.dataId).values,u=y.getTypedArrayFromDType("float32",i);for(let l=0;lr<0?t*r:r);function sk(r){let{inputs:t,backend:e}=r,{x:n,alpha:o}=t;tt([n,o],"prelu");let s=e.data.get(n.dataId).values,i=e.data.get(o.dataId).values,[a,u]=sJ(n.shape,o.shape,s,i,"float32");return e.makeTensorInfo(u,"float32",a)}var aF={kernelName:ys,backendName:"cpu",kernelFunc:sk};var ik=kt(ws,r=>Math.max(0,r)),lF={kernelName:ws,backendName:"cpu",kernelFunc:ik};var ak=kt(vs,r=>Math.min(Math.max(0,r),6)),uF={kernelName:vs,backendName:"cpu",kernelFunc:ak};function Oc(r,t,e,n,o){if(e==="linear")return qr({inputs:{x:t},backend:r});if(e==="relu")return ik({inputs:{x:t},backend:r});if(e==="elu")return nk({inputs:{x:t},backend:r});if(e==="relu6")return ak({inputs:{x:t},backend:r});if(e==="prelu")return sk({inputs:{x:t,alpha:n},backend:r});if(e==="leakyrelu")return ok({inputs:{x:t},backend:r,attrs:{alpha:o}});if(e==="sigmoid")return QN({inputs:{x:t},backend:r});throw new Error(`Activation ${e} has not been implemented for the CPU backend.`)}function Xt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{shape:s}=n,i=y.sizeFromShape(o.shape),a=y.inferFromImplicitShape(s,i),u=y.sizeFromShape(a);y.assert(i===u,()=>`The new shape (${a}) has ${u} elements and the old shape (${o.shape}) has ${i} elements. The new shape and old shape must have the same number of elements.`),e.incRef(o.dataId);let l=e.data.get(o.dataId);if(l.complexTensorInfos!=null){let c=l.complexTensorInfos.real,p=l.complexTensorInfos.imag;c.shape=a,p.shape=a}return{dataId:o.dataId,shape:a,dtype:o.dtype}}var cF={kernelName:mi,backendName:"cpu",kernelFunc:Xt};function lk(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s}=t,{transposeA:i,transposeB:a}=n;tt([o,s],"matMul");let u=o.shape.length,l=s.shape.length,c=i?o.shape[u-2]:o.shape[u-1],p=a?s.shape[l-1]:s.shape[l-2],m=i?o.shape[u-1]:o.shape[u-2],f=a?s.shape[l-2]:s.shape[l-1],d=o.shape.slice(0,-2),h=s.shape.slice(0,-2),g=y.sizeFromShape(d),x=y.sizeFromShape(h),w=zr.assertAndGetBroadcastShape(o.shape.slice(0,-2),s.shape.slice(0,-2)).concat([m,f]);y.assert(c===p,()=>`Error in matMul: inner shapes (${c}) and (${p}) of Tensors with shapes ${o.shape} and ${s.shape} and transposeA=${i} and transposeB=${a} must match.`);let C=i?[g,c,m]:[g,m,c],N=a?[x,f,p]:[x,p,f],_=Xt({inputs:{x:o},backend:e,attrs:{shape:C}}),A=Xt({inputs:{x:s},backend:e,attrs:{shape:N}}),$=i?_.shape[1]:_.shape[2],F=i?_.shape[2]:_.shape[1],P=a?A.shape[1]:A.shape[2],V=Math.max(g,x),G=e.data.get(_.dataId).values,W=e.data.get(A.dataId).values,q=y.computeStrides(_.shape),H=y.computeStrides(A.shape),[j,Y,Z]=i?[q[0],1,q[1]]:[q[0],q[1],1],[et,rt,ot]=a?[1,H[1],H[0]]:[H[1],1,H[0]],at=F*P,nt=wt([V,F,P],_.dtype),it=nt.values,dt=e.blockSize;for(let ht=0;htMath.acos(r)),fF={kernelName:ra,backendName:"cpu",kernelFunc:aJ};var lJ=kt(na,r=>Math.acosh(r)),dF={kernelName:na,backendName:"cpu",kernelFunc:lJ};function uJ(r){let{inputs:t,backend:e}=r,n=t;tt(t,"addN");let o=n.map(a=>e.data.get(a.dataId).values),s=wt(n[0].shape,n[0].dtype),i=s.values;for(let a=0;ab&&(b=N,w=C)}f[g]=w}return l.forEach(g=>e.disposeIntermediateTensorInfo(g)),e.makeTensorInfo(c,"int32",f)}var yF={kernelName:Go,backendName:"cpu",kernelFunc:mJ};function fJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s}=n;tt(o,"argMin");let i=y.parseAxisParam(s,o.shape),a=S.getAxesPermutation(i,o.shape.length),u=o,l=[];a!=null&&(u=Be({inputs:{x:o},backend:e,attrs:{perm:a}}),l.push(u),i=S.getInnerMostAxes(i.length,u.shape.length)),i=[i[0]],S.assertAxesAreInnerMostDims("argMin",i,u.shape.length);let[c,p]=S.computeOutAndReduceShapes(u.shape,i),m=y.sizeFromShape(c),f=y.makeZerosTypedArray(m,"int32"),d=y.sizeFromShape(p),h=e.data.get(u.dataId).values;for(let g=0;ge.disposeIntermediateTensorInfo(g)),e.makeTensorInfo(c,"int32",f)}var bF={kernelName:Nl,backendName:"cpu",kernelFunc:fJ};var dJ=kt(ia,r=>Math.asin(r)),wF={kernelName:ia,backendName:"cpu",kernelFunc:dJ};var hJ=kt(aa,r=>Math.asinh(r)),CF={kernelName:aa,backendName:"cpu",kernelFunc:hJ};var gJ=kt(la,r=>Math.atan(r)),IF={kernelName:la,backendName:"cpu",kernelFunc:gJ};var xJ=Qt((r,t)=>Math.atan2(r,t)),yJ=oe(ca,xJ),vF={kernelName:ca,backendName:"cpu",kernelFunc:yJ};var bJ=kt(ua,r=>Math.atanh(r)),SF={kernelName:ua,backendName:"cpu",kernelFunc:bJ};function id(r,t,e,n,o,s){let i=o.strideHeight,a=o.strideWidth,u=o.dilationHeight,l=o.dilationWidth,c=o.effectiveFilterHeight,p=o.effectiveFilterWidth,m=o.padInfo.top,f=o.padInfo.left,d=s==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,h=wt(o.outShape,e),g=h.values,x=o.outShape[1]*o.outShape[2]*o.outShape[3],b=o.outShape[2]*o.outShape[3],w=o.outShape[3];for(let C=0;CY?Y=dt:s==="avg"&&(Z+=dt,et++)}if(isNaN(Y))break}let rt=G+W*w+A;g[rt]=s==="avg"?Z/et:Y}}}return h}function aw(r,t,e,n,o=!1,s=!1){let i=wt(n.outShape,"int32"),a=n.strideHeight,u=n.strideWidth,l=n.dilationHeight,c=n.dilationWidth,p=n.effectiveFilterHeight,m=n.effectiveFilterWidth,f=n.padInfo.top,d=n.padInfo.left,h=wt(t,e,r);for(let g=0;gP&&(P=j,o?V=s?((g*n.inHeight+G)*n.inWidth+q)*n.inChannels+x:(G*n.inWidth+q)*n.inChannels+x:V=W*m+H)}}i.set(V,g,b,_,x)}}return i}function lw(r,t,e,n,o,s){let i=o.strideDepth,a=o.strideHeight,u=o.strideWidth,l=o.dilationDepth,c=o.dilationHeight,p=o.dilationWidth,m=o.effectiveFilterDepth,f=o.effectiveFilterHeight,d=o.effectiveFilterWidth,h=o.padInfo.front,g=o.padInfo.top,x=o.padInfo.left,b=s==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,w=wt(o.outShape,e),C=w.values,N=o.outShape[1]*o.outShape[2]*o.outShape[3]*o.outShape[4],_=o.outShape[2]*o.outShape[3]*o.outShape[4],A=o.outShape[3]*o.outShape[4],$=o.outShape[4];for(let F=0;FTt?Tt=Ge:s==="avg"&&(_t+=Ge,Bt++),isNaN(Tt))break}if(isNaN(Tt))break}if(isNaN(Tt))break}let Yt=bt+G;C[Yt]=s==="avg"?_t/Bt:Tt}}}}return w}function NF(r,t){let e=wt(t.outShape,"int32"),n=t.strideDepth,o=t.strideHeight,s=t.strideWidth,i=t.dilationDepth,a=t.dilationHeight,u=t.dilationWidth,l=t.effectiveFilterDepth,c=t.effectiveFilterHeight,p=t.effectiveFilterWidth,m=t.padInfo.front,f=t.padInfo.top,d=t.padInfo.left;for(let h=0;h=W&&(W=ot,q=j*c*p+Z*c+rt)}}}e.set(q,h,x,N,F,g)}}}return e}function wJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t;tt(o,"avgPool");let{filterSize:s,strides:i,pad:a,dimRoundingMode:u}=n,l=1;y.assert(S.eitherStridesOrDilationsAreOne(i,l),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);let c=S.computePool2DInfo(o.shape,s,i,l,a,u),p;if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))p=qr({inputs:{x:o},backend:e});else{let m=e.data.get(o.dataId).values,f=y.computeStrides(o.shape),d=id(m,o.shape,o.dtype,f,c,"avg");p=e.makeTensorInfo(c.outShape,o.dtype,d.values)}return p}var kF={kernelName:Wo,backendName:"cpu",kernelFunc:wJ};function CJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{filterSize:s,strides:i,pad:a,dimRoundingMode:u,dataFormat:l}=n;tt(o,"avgPool3d");let c=S.computePool3DInfo(o.shape,s,i,1,a,u,l),p=e.data.get(o.dataId).values,m=lw(p,o.shape,o.dtype,y.computeStrides(o.shape),c,"avg");return e.makeTensorInfo(m.shape,"float32",m.values)}var TF={kernelName:kl,backendName:"cpu",kernelFunc:CJ};function IJ(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,{filterSize:i,strides:a,pad:u,dimRoundingMode:l}=n;tt([o,s],"avgPool3DGrad");let c=S.computePool3DInfo(s.shape,i,a,1,u,l),p=c.strideDepth,m=c.strideHeight,f=c.strideWidth,d=c.filterDepth,h=c.filterHeight,g=c.filterWidth,x=c.dilationDepth,b=c.dilationHeight,w=c.dilationWidth,C=c.effectiveFilterDepth,N=c.effectiveFilterHeight,_=c.effectiveFilterWidth,A=C-1-c.padInfo.front,$=_-1-c.padInfo.left,F=N-1-c.padInfo.top,P=wt(s.shape,"float32"),V=1/(d*h*g),G=e.bufferSync(o);for(let W=0;W=c.outDepth||Math.floor(nt)!==nt))for(let it=0;it=c.outHeight||Math.floor(dt)!==dt))for(let ht=0;ht<_;ht+=w){let bt=(rt+ht)/f;if(bt<0||bt>=c.outWidth||Math.floor(bt)!==bt)continue;ot+=G.get(W,nt,dt,bt,q)}}}P.set(ot*V,W,H,j,Y,q)}return e.makeTensorInfo(P.shape,P.dtype,P.values)}var EF={kernelName:lp,backendName:"cpu",kernelFunc:IJ};function vJ(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s;tt([o,s],"avgPoolGrad");let{filterSize:a,strides:u,pad:l}=n,c=S.computePool2DInfo(i.shape,a,u,1,l),p=c.strideHeight,m=c.strideWidth,f=c.filterHeight,d=c.filterWidth,h=c.dilationHeight,g=c.dilationWidth,x=c.effectiveFilterHeight,b=c.effectiveFilterWidth,w=b-1-c.padInfo.left,C=x-1-c.padInfo.top,N=wt(i.shape,"float32"),_=1/(f*d),A=e.data.get(o.dataId).values,$=wt(o.shape,"float32",A);for(let F=0;F=c.outHeight||Math.floor(Y)!==Y))for(let Z=0;Z=c.outWidth||Math.floor(et)!==et)continue;H+=$.get(F,Y,et,P)}}N.set(H*_,F,V,G,P)}return e.makeTensorInfo(N.shape,N.dtype,N.values)}var _F={kernelName:ap,backendName:"cpu",kernelFunc:vJ};function SJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,scale:s,offset:i,mean:a,variance:u}=t;y.assert(a.shape.length===u.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),y.assert(i==null||a.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),y.assert(s==null||a.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks."),tt([o,a,u,s,i],"batchNorm");let{varianceEpsilon:l}=n;l==null&&(l=.001);let c=e.data.get(o.dataId).values,p=e.data.get(a.dataId).values,m=e.data.get(u.dataId).values,f=s?e.data.get(s.dataId).values:new Float32Array([1]),d=i?e.data.get(i.dataId).values:new Float32Array([0]),h=new Float32Array(c.length),g=d.length,x=f.length,b=m.length,w=p.length,C=0,N=0,_=0,A=0;for(let $=0;$=g&&(C=0),N>=w&&(N=0),_>=x&&(_=0),A>=b&&(A=0);return e.makeTensorInfo(o.shape,o.dtype,h)}var AF={kernelName:ns,backendName:"cpu",kernelFunc:SJ};function NJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,crops:i}=n;tt([o],"batchToSpaceND");let a=s.reduce((x,b)=>x*b),u=S.getReshaped(o.shape,s,a),l=S.getPermuted(u.length,s.length),c=S.getReshapedPermuted(o.shape,s,a),p=S.getSliceBeginCoords(i,s.length),m=S.getSliceSize(c,i,s.length),f=Xt({inputs:{x:o},backend:e,attrs:{shape:u}}),d=Be({inputs:{x:f},backend:e,attrs:{perm:l}}),h=Xt({inputs:{x:d},backend:e,attrs:{shape:c}}),g=Ro({inputs:{x:h},backend:e,attrs:{begin:p,size:m}});return e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(h),g}var $F={kernelName:si,backendName:"cpu",kernelFunc:NJ};function kJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,weights:s}=t,{size:i}=n,a=e.data.get(o.dataId).values,u=e.data.get(s.dataId).values,l=rd(a,u,s.dtype,s.shape,i);return e.makeTensorInfo([i],s.dtype,l)}var DF={kernelName:up,backendName:"cpu",kernelFunc:kJ};function TJ(r){let{inputs:t,backend:e}=r,{s0:n,s1:o}=t,s=e.data.get(n.dataId).values,i=e.data.get(o.dataId).values,a=S.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return e.makeTensorInfo([a.length],"int32",Int32Array.from(a))}var RF={kernelName:cp,backendName:"cpu",kernelFunc:TJ};var EJ=kt(ao,(r,t)=>{let e=t;return r>e.clipValueMax?e.clipValueMax:r{let{x:t}=r.inputs,e=r.backend,n=new Float32Array(y.sizeFromShape(t.shape)),o=e.data.get(t.dataId),s=o.complexTensorInfos.real,i=o.complexTensorInfos.imag,a=e.data.get(s.dataId).values,u=e.data.get(i.dataId).values;for(let l=0;lh.shape);S.assertParamsConsistent(i,s);let a=S.computeOutShape(t.map(h=>h.shape),s);if(y.sizeFromShape(a)===0)return e.makeTensorInfo(a,t[0].dtype,[]);let u=t.filter(h=>y.sizeFromShape(h.shape)>0);if(u.length===1)return qr({inputs:{x:u[0]},backend:e});if(u[0].dtype==="complex64"){let h=u.map(C=>_o({inputs:{input:C},backend:e})),g=u.map(C=>qi({inputs:{input:C},backend:e})),x=Nu({inputs:h,backend:e,attrs:{axis:s}}),b=Nu({inputs:g,backend:e,attrs:{axis:s}}),w=br({inputs:{real:x,imag:b},backend:e});return h.forEach(C=>e.disposeIntermediateTensorInfo(C)),g.forEach(C=>e.disposeIntermediateTensorInfo(C)),e.disposeIntermediateTensorInfo(x),e.disposeIntermediateTensorInfo(b),w}let l=u.map(h=>{let g=y.sizeFromShape(h.shape.slice(s));return Xt({inputs:{x:h},backend:e,attrs:{shape:[-1,g]}})}),c=l.map(h=>({vals:e.data.get(h.dataId).values,shape:h.shape}));a=S.computeOutShape(l.map(h=>h.shape),1);let p=l[0].shape[0]===1,m=Ec(c,a,t[0].dtype,p),f=S.computeOutShape(u.map(h=>h.shape),s),d=e.makeTensorInfo(f,t[0].dtype,m);return l.forEach(h=>e.disposeIntermediateTensorInfo(h)),d}var LF={kernelName:ii,backendName:"cpu",kernelFunc:Nu};function uk(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dataFormat:u,dilations:l,dimRoundingMode:c}=n;tt([o,s],"conv2d");let p=S.convertConv2DDataFormat(u),m=S.computeConv2DInfo(o.shape,s.shape,i,l,a,c,!1,p),f=m.filterHeight,d=m.filterWidth,h=m.dilationHeight,g=m.dilationWidth,x=m.padInfo.left,b=m.padInfo.top,w=m.dataFormat==="channelsLast",C=new pe(m.outShape,o.dtype),N=y.computeStrides(o.shape),_=y.computeStrides(s.shape),A=N[0],$=w?N[1]:N[2],F=w?N[2]:1,P=w?1:N[1],V=C.strides[0],G=w?C.strides[1]:C.strides[2],W=w?C.strides[2]:1,q=w?1:C.strides[1],H=e.data.get(o.dataId).values,j=e.data.get(s.dataId).values,Y=C.values;for(let Z=0;Z=m.inHeight)continue;let ht=it*_[0],bt=et+dt*$;for(let Tt=0;Tt=m.inWidth)continue;let he=ht+Yt*_[1],Kt=bt+ce*F,Te=he;for(let fe=0;fe=l.inDepth)continue;let Z=j*F[0],et=V+Y*$[1];for(let rt=0;rt=l.inHeight)continue;let dt=Z+nt*F[1],ht=et+it*$[2];for(let bt=0;bt=l.inWidth)continue;let ce=dt+Bt*F[2],he=ht+Yt*l.inChannels,Kt=ce;for(let Te=0;TeMath.cos(r)),UF={kernelName:jo,backendName:"cpu",kernelFunc:OJ};var PJ=kt(Xo,r=>Math.cosh(r)),HF={kernelName:Xo,backendName:"cpu",kernelFunc:PJ};function LJ(r){let{inputs:t,backend:e,attrs:n}=r,{image:o,boxes:s,boxInd:i}=t,{cropSize:a,method:u,extrapolationValue:l}=n,[c,p,m,f]=o.shape,d=s.shape[0],[h,g]=a,x=wt([d,h,g,f],"float32"),b=e.data.get(s.dataId).values,w=e.data.get(i.dataId).values,C=e.data.get(o.dataId).values,N=y.computeStrides(o.shape),_=y.computeStrides(x.shape);for(let A=0;A=c)continue;let q=h>1?(V-F)*(p-1)/(h-1):0,H=g>1?(G-P)*(m-1)/(g-1):0;for(let j=0;j1?F*(p-1)+j*q:.5*(F+V)*(p-1);if(Y<0||Y>p-1){for(let Z=0;Z1?P*(m-1)+ot*H:.5*(P+G)*(m-1);if(at<0||at>m-1){for(let ht=0;ht1?P*(m-1)+Z*H:.5*(P+G)*(m-1);if(et<0||et>m-1){for(let at=0;atx+d-b-1:(x,b)=>x+b;for(let x=0;xx+d-b-1:(x,b)=>x+b;for(let x=0;x`Only NHWC dataFormat supported on CPU for depthToSpace. Got ${i}`);let a=o.shape[0],u=o.shape[1],l=o.shape[2],c=o.shape[3],p=u*s,m=l*s,f=c/(s*s),d=e.data.get(o.dataId).values,h=new Float32Array(a*p*m*f),g=0;for(let x=0;x`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${m}'`);let f=S.computeConv2DInfo(o.shape,s.shape,i,m,a,l,!0),{filterHeight:d,filterWidth:h,dilationHeight:g,dilationWidth:x,padInfo:b}=f,w=b.left,C=b.top,N=f.outChannels/f.inChannels,_=new pe(f.outShape,o.dtype),A=e.data.get(o.dataId).values,$=e.data.get(s.dataId).values,F=_.values;for(let P=0;P=f.inHeight)continue;let Z=j*p[0],et=V+Y*c[1];for(let rt=0;rt=f.inWidth)continue;let dt=Z+nt*p[1],ht=et+it*f.inChannels,bt=ot,Tt=dt;for(let _t=0;_t{let{x:n,filter:o}=r,{strides:s,pad:i,dilations:a}=e,u=t,l=u.data.get(n.dataId).values,c=n.shape.length,p=u.data.get(o.dataId).values,m=o.shape.length,{batchSize:f,inHeight:d,inWidth:h,inChannels:g,outHeight:x,outWidth:b,padInfo:w,strideHeight:C,strideWidth:N,filterHeight:_,filterWidth:A,dilationHeight:$,dilationWidth:F,outShape:P}=S.computeDilation2DInfo(n.shape,o.shape,s,i,"NHWC",a),V=y.sizeFromShape(P),G=P.length,W=y.getArrayFromDType(n.dtype,V);for(let H=0;H=0&&it=0&&htot&&(ot=_t)}}}let at=y.locToIndex([H,j,Z,rt],G,y.computeStrides(P));W[at]=ot}}}return{dataId:u.write(y.toTypedArray(W,n.dtype),P,n.dtype),shape:P,dtype:n.dtype}}};var rO={kernelName:Hd,backendName:"cpu",kernelFunc:({inputs:r,backend:t,attrs:e})=>{let{x:n,filter:o,dy:s}=r,{strides:i,pad:a,dilations:u}=e,l=t,c=y.toNestedArray(n.shape,l.data.get(n.dataId).values),p=y.toNestedArray(o.shape,l.data.get(o.dataId).values),{batchSize:m,inHeight:f,inWidth:d,inChannels:h,outHeight:g,outWidth:x,padInfo:b,strideHeight:w,strideWidth:C,filterHeight:N,filterWidth:_,dilationHeight:A,dilationWidth:$,outShape:F}=S.computeDilation2DInfo(n.shape,o.shape,i,a,"NHWC",u);y.assert(s.rank===F.length,()=>`Error in ${Hd}, dy must have the same rank as output ${F.length}, but got ${s.rank}`);let P=y.toNestedArray(F,l.data.get(s.dataId).values),V=y.makeZerosNestedTypedArray(o.shape,o.dtype);for(let W=0;W=0&&nt=0&&dtet&&(et=ht,rt=at,ot=it)}}}V[rt][ot][Z]+=P[W][q][j][Z]}}}return{dataId:l.write(y.toTypedArray(V,n.dtype),o.shape,o.dtype),shape:o.shape,dtype:o.dtype}}};var nO={kernelName:Ud,backendName:"cpu",kernelFunc:({inputs:r,backend:t,attrs:e})=>{let{x:n,filter:o,dy:s}=r,{strides:i,pad:a,dilations:u}=e,l=t,c=y.toNestedArray(n.shape,l.data.get(n.dataId).values),p=y.toNestedArray(o.shape,l.data.get(o.dataId).values),{batchSize:m,inHeight:f,inWidth:d,inChannels:h,outHeight:g,outWidth:x,padInfo:b,strideHeight:w,strideWidth:C,filterHeight:N,filterWidth:_,dilationHeight:A,dilationWidth:$,outShape:F}=S.computeDilation2DInfo(n.shape,o.shape,i,a,"NHWC",u);y.assert(s.rank===F.length,()=>`Error in ${Ud}, dy must have the same rank as output ${F.length}, but got ${s.rank}`);let P=y.toNestedArray(F,l.data.get(s.dataId).values),V=y.makeZerosNestedTypedArray(n.shape,n.dtype);for(let W=0;W=0&&nt=0&&dtet&&(et=ht,rt=nt,ot=dt)}}}V[W][rt][ot][Z]+=P[W][q][j][Z]}}}return{dataId:l.write(y.toTypedArray(V,n.dtype),n.shape,n.dtype),shape:n.shape,dtype:n.dtype}}};function fl(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n;tt(o,"sum");let a;o.dtype==="bool"?a=Ao({inputs:{x:o},backend:e,attrs:{dtype:"int32"}}):a=qr({inputs:{x:o},backend:e});let u=a.shape.length,l=y.parseAxisParam(s,a.shape),c=S.getAxesPermutation(l,u),p=l,m=a;c!=null&&(m=Be({inputs:{x:a},backend:e,attrs:{perm:c}}),p=S.getInnerMostAxes(p.length,u)),S.assertAxesAreInnerMostDims("sum",p,m.shape.length);let[f,d]=S.computeOutAndReduceShapes(m.shape,p),h=S.upcastType(m.dtype,"int32"),g=td(e,f,h),x=y.sizeFromShape(d),b=e.data.get(g.dataId).values,w=e.data.get(m.dataId).values;for(let C=0;C=0&&(m=fl({inputs:{x:m},backend:e,attrs:{axis:l[h]-(i.length-f),keepDims:!1}}),d.push(m)),f--)}for(let h of d)h!==m&&e.disposeIntermediateTensorInfo(h);return m}var sO={kernelName:bp,backendName:"cpu",kernelFunc:HJ};function qJ(r){let{inputs:t,backend:e}=r,{dy:n,y:o}=t;tt([n,o],"eluGrad");let s=new Float32Array(y.sizeFromShape(o.shape)),i=e.data.get(o.dataId).values,a=e.data.get(n.dataId).values;for(let u=0;u=1?s[u]=a[u]:s[u]=a[u]*(l+1)}return e.makeTensorInfo(o.shape,"float32",s)}var iO={kernelName:wp,backendName:"cpu",kernelFunc:qJ};var KJ=S.ERF_P,jJ=S.ERF_A1,XJ=S.ERF_A2,YJ=S.ERF_A3,ZJ=S.ERF_A4,JJ=S.ERF_A5,QJ=kt(da,r=>{let t=Math.sign(r),e=Math.abs(r),n=1/(1+KJ*e);return t*(1-((((JJ*n+ZJ)*n+YJ)*n+XJ)*n+jJ)*n*Math.exp(-e*e))}),aO={kernelName:da,backendName:"cpu",kernelFunc:QJ};function ad(r){let{inputs:t,backend:e,attrs:n}=r,{input:o}=t,{dim:s}=n,i=o.shape.length,a=o.shape.slice(),u=s;return s<0&&(y.assert(-(i+1)<=s,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),u=i+s+1),a.splice(u,0,1),Xt({inputs:{x:o},backend:e,attrs:{shape:a}})}var lO={kernelName:ai,backendName:"cpu",kernelFunc:ad};var tQ=Qt((r,t)=>r/t),Mh=oe(Jo,tQ),zh={kernelName:Jo,backendName:"cpu",kernelFunc:Mh};function uw(r,t,e){let n=r.shape,o=n[0],s=n[1],i=e.data.get(r.dataId),a=i.complexTensorInfos.real,u=i.complexTensorInfos.imag,l=[o,s],c=y.sizeFromShape(l),p=y.getTypedArrayFromDType("float32",c),m=y.getTypedArrayFromDType("float32",c);for(let g=0;g{let{image:n}=r,o=e,s=y.getTypedArrayFromDType(n.dtype,y.sizeFromShape(n.shape)),[i,a,u,l]=n.shape,c=o.data.get(n.dataId).values;for(let m=0;m=0&&wMath.floor(r/t)),aQ=oe(rs,iQ,null,"int32"),mO={kernelName:rs,backendName:"cpu",kernelFunc:aQ};function lQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=n,h=uk({inputs:{x:o,filter:s},backend:e,attrs:{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m}});if(i){let g=h;if(c==="NCHW"&&i.shape.length===1&&i.shape[0]!==1){let x=Xt({inputs:{x:i},backend:e,attrs:{shape:[i.shape[0],1,1]}});h=Hi({inputs:{a:h,b:x},backend:e}),e.disposeIntermediateTensorInfo(x)}else h=Hi({inputs:{a:h,b:i},backend:e});e.disposeIntermediateTensorInfo(g)}if(f){let g=h;if(c==="NCHW"&&f==="prelu"&&a.shape.length===1&&a.shape[0]!==1){let x=Xt({inputs:{x:a},backend:e,attrs:{shape:[a.shape[0],1,1]}});h=Oc(e,h,f,x,d),e.disposeIntermediateTensorInfo(x)}else h=Oc(e,h,f,a,d);e.disposeIntermediateTensorInfo(g)}return h}var fO={kernelName:wi,backendName:"cpu",kernelFunc:lQ};function uQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=n,h=ck({inputs:{x:o,filter:s},backend:e,attrs:{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m}});if(i){let g=h;h=Hi({inputs:{a:h,b:i},backend:e}),e.disposeIntermediateTensorInfo(g)}if(f){let g=h;h=Oc(e,h,f,a,d),e.disposeIntermediateTensorInfo(g)}return h}var dO={kernelName:Ci,backendName:"cpu",kernelFunc:uQ};function cQ(r){let{inputs:t,backend:e}=r,{params:n,indices:o}=t,s=y.sizeFromShape(n.shape),i=o.shape,a=i[i.length-1],[u,l,c,p]=S.prepareAndValidate(n,o);if(l===0)return e.makeTensorInfo(u,n.dtype,[]);let m=e.data.get(o.dataId).values,f=e.bufferSync(n),d=jb(m,f,n.dtype,l,a,c,p,n.shape,s);return e.makeTensorInfo(u,n.dtype,d.values)}var hO={kernelName:ya,backendName:"cpu",kernelFunc:cQ};function pQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,indices:s}=t,{axis:i,batchDims:a}=n;tt([o,s],"gatherV2");let u=y.parseAxisParam(i,o.shape)[0],l=e.data.get(s.dataId).values,c=o.shape[u];for(let C=0;C=0,()=>`GatherV2: the index value ${N} is not in [0, ${c-1}]`)}let p=a;a==null&&(p=0);let m=y.sizeFromShape(s.shape),f=S.segment_util.collectGatherOpShapeInfo(o,s,u,p),d=Xt({inputs:{x:o},backend:e,attrs:{shape:[f.batchSize,f.outerSize,f.dimSize,f.sliceSize]}}),h=Xt({inputs:{x:s},backend:e,attrs:{shape:[f.batchSize,m/f.batchSize]}}),g=[f.batchSize,f.outerSize,m/f.batchSize,f.sliceSize],x=e.bufferSync(h),b=e.bufferSync(d),w=Xb(b,x,g);return e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(h),e.makeTensorInfo(f.outputShape,w.dtype,w.values)}var gO={kernelName:li,backendName:"cpu",kernelFunc:pQ};function mQ(r){let{inputs:t,backend:e}=r,{input:n}=t,o=y.sizeFromShape(n.shape),s=n.shape[n.shape.length-1],i=o/s,a=Xt({inputs:{x:n},backend:e,attrs:{shape:[i,s]}}),u=uw(a,!0,e),l=Xt({inputs:{x:u},backend:e,attrs:{shape:n.shape}});return e.disposeIntermediateTensorInfo(a),e.disposeIntermediateTensorInfo(u),l}var xO={kernelName:Ip,backendName:"cpu",kernelFunc:mQ};var fQ=kt(wa,r=>Number.isFinite(r)?1:0,"bool"),yO={kernelName:wa,backendName:"cpu",kernelFunc:fQ};var dQ=kt(Ca,r=>Math.abs(r)===1/0?1:0,"bool"),bO={kernelName:Ca,backendName:"cpu",kernelFunc:dQ};var hQ=kt(Ia,r=>Number.isNaN(r)?1:0,"bool"),wO={kernelName:Ia,backendName:"cpu",kernelFunc:hQ};function gQ(r){let{backend:t,attrs:e}=r,{start:n,stop:o,num:s}=e,i=Yb(n,o,s);return t.makeTensorInfo([i.length],"float32",i)}var CO={kernelName:Sp,backendName:"cpu",kernelFunc:gQ};var xQ=kt(Na,r=>Math.log1p(r)),IO={kernelName:Na,backendName:"cpu",kernelFunc:xQ};var yQ=Qt((r,t)=>r&&t),bQ=oe(ka,yQ,null,"bool"),vO={kernelName:ka,backendName:"cpu",kernelFunc:bQ};var wQ=kt(Ta,r=>r?0:1,"bool"),SO={kernelName:Ta,backendName:"cpu",kernelFunc:wQ};var CQ=Qt((r,t)=>r||t),IQ=oe(Ea,CQ,null,"bool"),NO={kernelName:Ea,backendName:"cpu",kernelFunc:IQ};function vQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{depthRadius:s,bias:i,alpha:a,beta:u}=n;tt(o,"LRN");let l=o.shape[3],c=l-1,p=e.data.get(o.dataId).values,m=y.sizeFromShape(o.shape),f=new Float32Array(m);function d(h){let g=h%l,x=h-g+Math.max(0,g-s),b=h-g+Math.min(g+s,c),w=0;for(;x<=b;x++){let C=p[x];w+=C*C}return w}for(let h=0;h`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);let c=S.computePool2DInfo(o.shape,s,i,l,a,u),p;if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))p=qr({inputs:{x:o},backend:e});else{let m=e.data.get(o.dataId).values,f=y.computeStrides(o.shape),d=id(m,o.shape,o.dtype,f,c,"max");p=e.makeTensorInfo(c.outShape,o.dtype,d.values)}return p}var _O={kernelName:us,backendName:"cpu",kernelFunc:NQ};function kQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{filterSize:s,strides:i,pad:a,dimRoundingMode:u,dataFormat:l}=n;tt(o,"maxPool3d");let c=S.computePool3DInfo(o.shape,s,i,1,a,u,l),p=e.data.get(o.dataId).values,m=lw(p,o.shape,o.dtype,y.computeStrides(o.shape),c,"max");return e.makeTensorInfo(m.shape,"float32",m.values)}var AO={kernelName:Dl,backendName:"cpu",kernelFunc:kQ};function TQ(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,{filterSize:i,strides:a,pad:u,dimRoundingMode:l}=n;tt([o,s],"maxPool3DGrad");let c=S.computePool3DInfo(s.shape,i,a,1,u,l),p=e.bufferSync(s),m=NF(p,c),f=c.strideDepth,d=c.strideHeight,h=c.strideWidth,g=c.dilationDepth,x=c.dilationHeight,b=c.dilationWidth,w=c.effectiveFilterDepth,C=c.effectiveFilterHeight,N=c.effectiveFilterWidth,_=w-1-c.padInfo.front,A=N-1-c.padInfo.left,$=C-1-c.padInfo.top,F=wt(s.shape,"float32"),P=e.bufferSync(o);for(let V=0;V=c.outDepth||Math.floor(ot)!==ot))for(let at=0;at=c.outHeight||Math.floor(nt)!==nt))for(let it=0;it=c.outWidth||Math.floor(dt)!==dt)continue;let ht=w*C*N-1-m.get(V,ot,nt,dt,G),bt=rt*C*N+at*N+it,Tt=ht===bt?1:0;if(Tt===0)continue;et+=P.get(V,ot,nt,dt,G)*Tt}}}F.set(et,V,W,q,H,G)}return e.makeTensorInfo(F.shape,F.dtype,F.values)}var $O={kernelName:Tp,backendName:"cpu",kernelFunc:TQ};function EQ(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s,output:i}=t,a=s;tt([s,i],"maxPoolGrad");let{filterSize:u,strides:l,pad:c,dimRoundingMode:p}=n,m=S.computePool2DInfo(a.shape,u,l,1,c,p),f=e.data.get(a.dataId).values,d=wt(m.outShape,a.dtype,aw(f,a.shape,a.dtype,m).values),h=m.strideHeight,g=m.strideWidth,x=m.dilationHeight,b=m.dilationWidth,w=m.effectiveFilterHeight,C=m.effectiveFilterWidth,N=C-1-m.padInfo.left,_=w-1-m.padInfo.top,A=wt(a.shape,"float32"),$=e.data.get(o.dataId).values,F=wt(o.shape,"float32",$);for(let P=0;P=m.outHeight||Math.floor(Z)!==Z))for(let et=0;et=m.outWidth||Math.floor(rt)!==rt)continue;let ot=w*C-1-d.get(P,Z,rt,V),at=Y*C+et,nt=ot===at?1:0;if(nt===0)continue;j+=F.get(P,Z,rt,V)*nt}}A.set(j,P,G,W,V)}return e.makeTensorInfo(A.shape,A.dtype,A.values)}var DO={kernelName:kp,backendName:"cpu",kernelFunc:EQ};function RO(r,t,e,n,o){let s=y.computeStrides(t),i=id(r,t,e,s,o,"max"),a=aw(r,t,e,o,!0,n);return[i.values,a.values]}var FO={kernelName:Ep,backendName:"cpu",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{x:n}=r,{filterSize:o,strides:s,pad:i,includeBatchInIndex:a}=t,u=e;tt(n,"MaxPoolWithArgmax");let l=u.data.get(n.dataId).values,c=S.computePool2DInfo(n.shape,o,s,[1,1],i),[p,m]=RO(l,n.shape,n.dtype,a,c),f=u.write(p,c.outShape,n.dtype),d=u.write(m,c.outShape,n.dtype);return[{dataId:f,shape:c.outShape,dtype:n.dtype},{dataId:d,shape:c.outShape,dtype:"int32"}]}};function _Q(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=y.parseAxisParam(s,o.shape),l=S.computeOutAndReduceShapes(o.shape,a)[1],c=y.sizeFromShape(l),p=[],m=e.makeTensorInfo([],"float32",new Float32Array([c]));p.push(m);let f=Ao({inputs:{x:o},backend:e,attrs:{dtype:"float32"}});p.push(f);let d=Mh({inputs:{a:f,b:m},backend:e});p.push(d);let h=fl({inputs:{x:d},backend:e,attrs:{axis:s,keepDims:i}});return p.forEach(g=>e.disposeIntermediateTensorInfo(g)),h}var OO={kernelName:cs,backendName:"cpu",kernelFunc:_Q};function AQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n;tt(o,"min");let a=y.parseAxisParam(s,o.shape),u=a,l=S.getAxesPermutation(u,o.shape.length),c=o;l!=null&&(c=Be({inputs:{x:o},backend:e,attrs:{perm:l}}),u=S.getInnerMostAxes(u.length,o.shape.length)),S.assertAxesAreInnerMostDims("min",u,c.shape.length);let[p,m]=S.computeOutAndReduceShapes(c.shape,u),f=y.sizeFromShape(m),d=y.makeZerosTypedArray(y.sizeFromShape(p),c.dtype),h=e.data.get(c.dataId).values;for(let x=0;xw[0]+o.shape[C]+w[1]),u=s.map(w=>w[0]),l=s.map((w,C)=>w[0]+o.shape[C]),c=i==="reflect"?0:1,p=e.data.get(o.dataId).values,m=o.shape.length,f=y.computeStrides(o.shape),d=y.sizeFromShape(a),h=a.length,g=y.computeStrides(a),x=y.getTypedArrayFromDType(o.dtype,d);for(let w=0;w=l[_]&&(C[_]=(l[_]-1)*2-C[_]+c);C=C.map((_,A)=>_-u[A]);let N=y.locToIndex(C,m,f);x[w]=p[N]}return{dataId:e.write(x,a,o.dtype),shape:a,dtype:o.dtype}}var LO={kernelName:fs,backendName:"cpu",kernelFunc:$Q};var DQ=Qt((r,t)=>{let e=r%t;return r<0&&t<0||r>=0&&t>=0?e:(e+t)%t}),RQ=oe(_a,DQ),MO={kernelName:_a,backendName:"cpu",kernelFunc:RQ};var BO=Sl(lh());function fk(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{dim:s}=n,i=o.shape.length,a=s;if(a===-1&&(a=i-1),a!==i-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${i} and dim was ${a}`);let u=y.parseAxisParam([a],o.shape),l=mk({inputs:{x:o},backend:e,attrs:{reductionIndices:u,keepDims:!1}}),c=S.expandShapeToKeepDim(l.shape,u),p=Xt({inputs:{x:l},backend:e,attrs:{shape:c}}),m=Ph({inputs:{a:o,b:p},backend:e}),f=zN({inputs:{x:m},backend:e}),d=fl({inputs:{x:f},backend:e,attrs:{axis:u,keepDims:!1}}),h=Xt({inputs:{x:d},backend:e,attrs:{shape:c}}),g=Mh({inputs:{a:f,b:h},backend:e});return e.disposeIntermediateTensorInfo(l),e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(h),g}var zO={kernelName:$s,backendName:"cpu",kernelFunc:fk};function FQ(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{numSamples:s,seed:i,normalized:a}=n;tt(o,"multinomial");let u=a?o:fk({inputs:{logits:o},backend:e,attrs:{dim:-1}}),l=u.shape[0],c=u.shape[1],p=e.data.get(u.dataId).values,m=[l,s],f=y.makeZerosTypedArray(y.sizeFromShape(m),"int32");for(let d=0;d=0&&p[m]{y.assertShapesMatch(s,c.shape,"All tensors passed to stack must have matching shapes"),y.assert(i===c.dtype,()=>"All tensors passed to stack must have matching dtypes")});let a=[],u=t.map(c=>{let p=ad({inputs:{input:c},backend:e,attrs:{dim:o}});return a.push(p),p}),l=Nu({inputs:u,backend:e,attrs:{axis:o}});return a.forEach(c=>e.disposeIntermediateTensorInfo(c)),l}var XO={kernelName:pi,backendName:"cpu",kernelFunc:dk};function GQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{paddings:s,constantValue:i}=n;tt(o,"pad");let a=s.map((b,w)=>b[0]+o.shape[w]+b[1]),u=s.map(b=>b[0]),l=e.data.get(o.dataId).values,c=y.sizeFromShape(o.shape),p=o.shape.length,m=y.computeStrides(o.shape),f=y.sizeFromShape(a),d=a.length,h=y.computeStrides(a),g=y.getTypedArrayFromDType(o.dtype,f);i!==0&&g.fill(i);for(let b=0;b_+u[A]),N=y.locToIndex(C,d,h);g[N]=l[b]}return{dataId:e.write(g,a,o.dtype),shape:a,dtype:o.dtype}}var cw={kernelName:gs,backendName:"cpu",kernelFunc:GQ};var WQ=Qt((r,t)=>Math.pow(r,t)),UQ=oe(xs,WQ),YO={kernelName:xs,backendName:"cpu",kernelFunc:UQ};function HQ(r){let{inputs:t,backend:e,attrs:n}=r,{paramsNestedSplits:o,paramsDenseValues:s,indices:i}=t,{outputRaggedRank:a}=n,u=o.map(x=>e.data.get(x.dataId).values),l=o.map(x=>x.shape),c=e.data.get(s.dataId).values,p=e.data.get(i.dataId).values,[m,f,d]=Jb(u,l,c,s.shape,s.dtype,p,i.shape,a),h=m.map(x=>e.makeTensorInfo([x.length],"int32",x)),g=e.makeTensorInfo(d,s.dtype,f);return h.concat([g])}var ZO={kernelName:Ap,backendName:"cpu",kernelFunc:HQ};function qQ(r){let{inputs:t,backend:e,attrs:n}=r,{shape:o,values:s,defaultValue:i,rowPartitionTensors:a}=t,{rowPartitionTypes:u}=n,l=e.data.get(o.dataId).values,c=e.data.get(s.dataId).values,p=e.data.get(i.dataId).values,m=a.map(g=>e.data.get(g.dataId).values),f=a.map(g=>g.shape),[d,h]=Qb(l,o.shape,c,s.shape,s.dtype,p,i.shape,m,f,u);return e.makeTensorInfo(d,s.dtype,h)}var JO={kernelName:$p,backendName:"cpu",kernelFunc:qQ};function KQ(r){let{backend:t,attrs:e}=r,{start:n,stop:o,dtype:s,step:i}=e,a=Ac(n,o,i,s);return t.makeTensorInfo([a.length],s,a)}var QO={kernelName:Rl,backendName:"cpu",kernelFunc:KQ};var jQ=kt(Fa,r=>1/r),tP={kernelName:Fa,backendName:"cpu",kernelFunc:jQ};function XQ(r){let{inputs:t,backend:e,attrs:n}=r,{images:o}=t,{alignCorners:s,halfPixelCenters:i,size:a}=n;tt(o,"resizeBilinear");let u=y.computeStrides(o.shape),[l,c]=a,[p,m,f,d]=o.shape,h=e.data.get(o.dataId).values,g=new Float32Array(y.sizeFromShape([p,l,c,d])),x=[s&&l>1?m-1:m,s&&c>1?f-1:f],b=[s&&l>1?l-1:l,s&&c>1?c-1:c],w=0,C=x[0]/b[0],N=x[1]/b[1];for(let _=0;_1?l-1:l,i&&f>1?c-1:c],g=[i&&m>1?m-1:m,i&&f>1?f-1:f],x=h[0]/g[0],b=h[1]/g[1],w=e.data.get(s.dataId).values,C=0;for(let N=0;N1?m-1:m,s&&c>1?f-1:f],b=[s&&l>1?l-1:l,s&&c>1?c-1:c],w=x[0]/b[0],C=x[1]/b[1],N=0;for(let _=0;_1?c-1:c,i&&d>1?p-1:p],b=[i&&f>1?f-1:f,i&&d>1?d-1:d],w=x[0]/b[0],C=x[1]/b[1],N=1/w,_=1/C,A=Math.ceil(N)*2+2,$=Math.ceil(_)*2+2;for(let F=0;F=f)continue;let nt=P+at*u[1],it=at*w,dt=Math.min(c-1,i?Math.round(it):Math.floor(it));if(V===dt)for(let ht=0;ht<$;ht++){let bt=ht+Z;if(bt<0||bt>=d)continue;let Tt=nt+bt*u[2],_t=bt*C,Bt=Math.min(p-1,i?Math.round(_t):Math.floor(_t));H===Bt&&(rt+=g[Tt+et])}}h[j+et]=rt}}}}return e.makeTensorInfo(o.shape,o.dtype,h)}var oP={kernelName:Rp,backendName:"cpu",kernelFunc:JQ};function QQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dims:s}=n;tt(o,"reverse");let i=o.shape.length,a=y.parseAxisParam(s,o.shape);if(i===0)return qr({inputs:{x:o},backend:e});let u=new pe(o.shape,o.dtype),l=e.bufferSync(o);for(let c=0;cm[f]=o.shape[f]-1-m[f]),u.set(l.get(...m),...p)}return e.makeTensorInfo(u.shape,u.dtype,u.values)}var sP={kernelName:Ss,backendName:"cpu",kernelFunc:QQ};var iP={kernelName:Ua,backendName:"cpu",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{image:n}=r,{radians:o,fillValue:s,center:i}=t,a=e,u=y.getTypedArrayFromDType(n.dtype,y.sizeFromShape(n.shape)),[l,c,p,m]=n.shape,[f,d]=S.getImageCenter(i,c,p),h=255,g=Math.sin(o),x=Math.cos(o),b=a.data.get(n.dataId).values;for(let C=0;C=0&&q=0&&H{let t=Math.floor(r);return r-t<.5?Math.floor(r):r-t>.5?Math.ceil(r):t%2===0?t:t+1}),aP={kernelName:Ns,backendName:"cpu",kernelFunc:t9};function e9(r){let{inputs:t,backend:e,attrs:n}=r,{indices:o,updates:s}=t,{shape:i}=n,{sliceRank:a,numUpdates:u,sliceSize:l,strides:c,outputSize:p}=S.calculateShapes(s,o,i),m=!0,f=e.bufferSync(o),d=e.bufferSync(s),h=ml(f,d,i,p,l,u,a,c,0,m);return e.makeTensorInfo(i,h.dtype,h.values)}var lP={kernelName:Oa,backendName:"cpu",kernelFunc:e9};function r9(r,t){let e=0,n=r.length,o=0;for(;e1||o.shape.length===1?1:y.sizeFromShape(o.shape.slice(1));for(let d=0;dr>=0?a9*r:i9*(Math.exp(r)-1)),mP={kernelName:Pa,backendName:"cpu",kernelFunc:l9};var u9=kt(Ma,r=>r<0?-1:r>0?1:0),fP={kernelName:Ma,backendName:"cpu",kernelFunc:u9};var c9=kt(Ts,r=>Math.sin(r)),dP={kernelName:Ts,backendName:"cpu",kernelFunc:c9};var p9=kt(La,r=>Math.sinh(r)),hP={kernelName:La,backendName:"cpu",kernelFunc:p9};var m9=11920928955078125e-23,gP=Math.log(m9)+2,f9=kt(za,r=>{let t=r>-gP,e=r0&&y.isString(n[0])){let s=n.map(i=>y.encodeString(i));o=this.write(s,t,e)}else o=this.write(n,t,e);return{dataId:o,shape:t,dtype:e}}refCount(t){return this.data.has(t)?this.data.get(t).refCount:0}incRef(t){let e=this.data.get(t);e.refCount++}decRef(t){if(this.data.has(t)){let e=this.data.get(t);e.refCount--}}move(t,e,n,o,s){this.data.set(t,{values:e,dtype:o,refCount:s})}numDataIds(){return this.data.numDataIds()}async read(t){return this.readSync(t)}readSync(t){let{dtype:e,complexTensorInfos:n}=this.data.get(t);if(e==="complex64"){let o=this.readSync(n.real.dataId),s=this.readSync(n.imag.dataId);return v.mergeRealAndImagArrays(o,s)}return this.data.get(t).values}bufferSync(t){let e=this.readSync(t.dataId);if(t.dtype==="string")try{let n=e.map(o=>y.decodeString(o));return wt(t.shape,t.dtype,n)}catch(n){throw new Error("Failed to decode encoded string bytes into utf-8")}return wt(t.shape,t.dtype,e)}makeOutput(t,e,n){return Pn().makeTensorFromTensorInfo(this.makeTensorInfo(e,n,t),this)}disposeData(t,e=!1){if(this.data.has(t)){if(this.data.get(t).refCount--,!e&&this.data.get(t).refCount>0)return!1;let{complexTensorInfos:n}=this.data.get(t);n!=null&&(this.disposeData(n.real.dataId,!0),this.disposeData(n.imag.dataId,!0)),this.data.delete(t)}return!0}disposeIntermediateTensorInfo(t){this.disposeData(t.dataId)}async time(t){let e=y.now();return t(),{kernelMs:y.now()-e}}memory(){return{unreliable:!0,reasons:["The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less."]}}where(t){tt([t],"where");let e=this.readSync(t.dataId);return H7(t.shape,e)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}};Nu.nextDataId=0;var mw={};Wt(mw,{addImpl:()=>zN,bincountImpl:()=>sd,bincountReduceImpl:()=>Jb,castImpl:()=>MN,ceilImpl:()=>BN,concatImpl:()=>Ec,equalImpl:()=>VN,expImpl:()=>WN,expm1Impl:()=>HN,floorImpl:()=>qN,gatherNdImpl:()=>Qb,gatherV2Impl:()=>tw,greaterEqualImpl:()=>jN,greaterImpl:()=>KN,lessEqualImpl:()=>YN,lessImpl:()=>XN,linSpaceImpl:()=>ew,logImpl:()=>ZN,maxImpl:()=>rw,maximumImpl:()=>JN,minimumImpl:()=>QN,multiplyImpl:()=>Bh,negImpl:()=>tT,notEqualImpl:()=>eT,prodImpl:()=>rT,raggedGatherImpl:()=>nw,raggedRangeImpl:()=>ow,raggedTensorToTensorImpl:()=>sw,rangeImpl:()=>Ac,rsqrtImpl:()=>nT,scatterImpl:()=>dl,sigmoidImpl:()=>sF,simpleAbsImpl:()=>LN,sliceImpl:()=>$c,sparseFillEmptyRowsImpl:()=>iw,sparseReshapeImpl:()=>aw,sparseSegmentReductionImpl:()=>ld,sqrtImpl:()=>lF,squaredDifferenceImpl:()=>sT,stridedSliceImpl:()=>lw,stringNGramsImpl:()=>Dc,stringSplitImpl:()=>Rc,stringToHashBucketFastImpl:()=>Fc,subImpl:()=>aT,tileImpl:()=>uw,topKImpl:()=>cw,transposeImpl:()=>id,uniqueImpl:()=>pw});function LN(r){let t=new Float32Array(r.length);for(let e=0;e{let{x:t}=r.inputs,e=r.backend;tt(t,"abs");let n=new Float32Array(y.sizeFromShape(t.shape)),o=e.data.get(t.dataId).values;return n=LN(o),e.makeOutput(n,t.shape,t.dtype)},$R={kernelName:ii,backendName:"cpu",kernelFunc:q7};function Qt(r){return(t,e,n,o,s)=>{let i=v.assertAndGetBroadcastShape(t,e),a=i.length,u=y.computeStrides(i),l=y.sizeFromShape(i),c=y.getTypedArrayFromDType(s,l),p=t.length,m=e.length,f=y.computeStrides(t),d=y.computeStrides(e),h=v.getBroadcastDims(t,i),g=v.getBroadcastDims(e,i);if(h.length+g.length===0)for(let x=0;xw[A]=0);let C=y.locToIndex(w,p,f),N=b.slice(-m);g.forEach(A=>N[A]=0);let _=y.locToIndex(N,m,d);c[x]=r(n[C],o[_])}return[c,i]}}function wr(r){let{inputs:t,backend:e}=r,{real:n,imag:o}=t,s=e.data.get(n.dataId).values,i=e.data.get(o.dataId).values,a=e.makeTensorInfo(n.shape,"complex64"),u=e.data.get(a.dataId);return u.complexTensorInfos={real:e.makeTensorInfo(n.shape,"float32",s),imag:e.makeTensorInfo(o.shape,"float32",i)},a}var DR={kernelName:pp,backendName:"cpu",kernelFunc:wr};function nd(r,t,e="float32"){if(e==="complex64"){let o=nd(r,t,"float32"),s=nd(r,t,"float32");return wr({inputs:{real:o,imag:s},backend:r})}let n=y.makeZerosTypedArray(y.sizeFromShape(t),e);return r.makeTensorInfo(t,e,n)}function Kr(r){let{inputs:t,backend:e}=r,{x:n}=t;return e.incRef(n.dataId),{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}var RR={kernelName:co,backendName:"cpu",kernelFunc:Kr};function Ao(r){let{inputs:t,backend:e}=r,{input:n}=t,o=e.data.get(n.dataId).complexTensorInfos.real,s=e.data.get(o.dataId).values;return e.makeTensorInfo(o.shape,o.dtype,s)}var FR={kernelName:Rp,backendName:"cpu",kernelFunc:Ao};function MN(r,t,e,n){if(n==="int32"){let o=Int32Array.from(r);return[t,"int32",o]}if(n==="bool"){let o=y.toTypedArray([0],e),[s,i]=Qt((a,u)=>a!==u?1:0)(t,[],r,o,"bool");return[i,"bool",s]}throw new Error(`Error in Cast: failed to cast ${e} to ${n}`)}function $o(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dtype:s}=n;if(s==="complex64"){if(o.dtype==="complex64")return Kr({inputs:{x:o},backend:e});let c=nd(e,o.shape,o.dtype),p=$o({inputs:{x:o},backend:e,attrs:{dtype:"float32"}}),m=wr({inputs:{real:p,imag:c},backend:e});return e.disposeIntermediateTensorInfo(c),e.disposeIntermediateTensorInfo(p),m}if(o.dtype==="complex64"){let c=Ao({inputs:{input:o},backend:e}),p=$o({inputs:{x:c},backend:e,attrs:{dtype:s}});return e.disposeIntermediateTensorInfo(c),p}if(!y.hasEncodingLoss(o.dtype,s)){let c=Kr({inputs:{x:o},backend:e});return{dataId:c.dataId,shape:c.shape,dtype:s}}let i=e.data.get(o.dataId).values,[a,u,l]=MN(i,o.shape,o.dtype,s);return e.makeTensorInfo(a,u,l)}var OR={kernelName:lo,backendName:"cpu",kernelFunc:$o};function oe(r,t,e,n){return e==null?({inputs:o,backend:s})=>{let{a:i,b:a}=o,u=s;tt([i,a],r);let l=u.data.get(i.dataId).values,c=u.data.get(a.dataId).values,p=i.dtype==="string"?v.fromUint8ToStringArray(l):l,m=i.dtype==="string"?v.fromUint8ToStringArray(c):c,f=n||i.dtype,[d,h]=t(i.shape,a.shape,p,m,f);return u.makeTensorInfo(h,f,d)}:({inputs:o,backend:s})=>{let{a:i,b:a}=o,u=s;if(i.dtype==="complex64"||a.dtype==="complex64"){let l=$o({inputs:{x:i},backend:u,attrs:{dtype:"complex64"}}),c=u.data.get(l.dataId),p=c.complexTensorInfos.real,m=c.complexTensorInfos.imag,f=u.data.get(p.dataId).values,d=u.data.get(m.dataId).values,h=$o({inputs:{x:a},backend:u,attrs:{dtype:"complex64"}}),g=u.data.get(h.dataId),x=g.complexTensorInfos.real,b=g.complexTensorInfos.imag,w=u.data.get(x.dataId).values,C=u.data.get(b.dataId).values,[N,_,A]=e(i.shape,a.shape,f,d,w,C),$=u.makeTensorInfo(A,"float32",N),F=u.makeTensorInfo(A,"float32",_),P=wr({inputs:{real:$,imag:F},backend:u});return u.disposeIntermediateTensorInfo(l),u.disposeIntermediateTensorInfo(h),u.disposeIntermediateTensorInfo($),u.disposeIntermediateTensorInfo(F),P}else{let l=u.data.get(i.dataId).values,c=u.data.get(a.dataId).values,p=n||i.dtype,[m,f]=t(i.shape,a.shape,l,c,p);return u.makeTensorInfo(f,p,m)}}}function od(r){return(t,e,n,o,s,i)=>{let a=v.assertAndGetBroadcastShape(t,e),u=y.sizeFromShape(a),l=a.length,c=y.computeStrides(a),p=y.getTypedArrayFromDType("float32",u),m=y.getTypedArrayFromDType("float32",u),f=v.getBroadcastDims(t,a),d=v.getBroadcastDims(e,a),h=v.mergeRealAndImagArrays(n,o),g=v.mergeRealAndImagArrays(s,i),x=t.length,b=y.computeStrides(t),w=e.length,C=y.computeStrides(e);if(f.length+d.length===0)for(let N=0;NA[G]=0);let $=y.locToIndex(A,x,b),F=_.slice(-w);d.forEach(G=>F[G]=0);let P=y.locToIndex(F,w,C),V=r(h[$*2],h[$*2+1],g[P*2],g[P*2+1]);p[N]=V.real,m[N]=V.imag}return[p,m,a]}}var zN=Qt((r,t)=>r+t),K7=od((r,t,e,n)=>({real:r+e,imag:t+n})),Ki=oe(Zn,zN,K7),PR={kernelName:Zn,backendName:"cpu",kernelFunc:Ki};function sd(r,t,e,n,o){let s=y.sizeFromShape(n),i=y.makeZerosTypedArray(o,e);for(let a=0;a=o||(s>0?i[u]+=t[a]:i[u]+=1)}return i}function Jb(r,t,e,n=!1){let o=r.shape[0],s=r.shape[1],i=wt([o,e],t.dtype);for(let a=0;a=e||(n?i.set(1,a,l):t.size>0?i.set(i.get(a,l)+t.get(a,u),a,l):i.set(i.get(a,l)+1,a,l))}return i}function yn(r){return(t,e,n)=>{let o=y.getTypedArrayFromDType(e,t.length);for(let s=0;s{let{x:i}=n;if(tt(i,r),i.dtype==="string"||e==="string")throw new Error("unaryKernelFunc does not support string input/output");let a=s,u=a.data.get(i.dataId).values,l=y.sizeFromShape(i.shape),c=e||i.dtype,p=y.getArrayFromDType(c,l);for(let m=0;m{let{x:i}=n;if(tt(i,r),i.dtype==="string"||e==="string")throw new Error("unaryKernelFunc does not support string input/output");let a=s,u=a.data.get(i.dataId).values,l=e||i.dtype,c=t(u,l,o);return a.makeTensorInfo(i.shape,l,c)}}var BN=yn(r=>Math.ceil(r)),j7=Do(qo,BN),LR={kernelName:qo,backendName:"cpu",kernelFunc:j7};function Ec(r,t,e,n){let o=y.getArrayFromDType(e,y.sizeFromShape(t));if(n&&e!=="string"){let s=0;r.forEach(i=>{let a=y.sizeFromShape(i.shape);o.set(i.vals,s),s+=a})}else{let s=0;r.forEach(i=>{let a=e==="string"?v.fromUint8ToStringArray(i.vals):i.vals,u=0;for(let l=0;lr===t?1:0),GN=oe(xa,VN,null,"bool"),MR={kernelName:xa,backendName:"cpu",kernelFunc:GN};var WN=yn(r=>Math.exp(r)),UN=Do(es,WN,"float32"),zR={kernelName:es,backendName:"cpu",kernelFunc:UN};var HN=yn(r=>Math.expm1(r)),X7=Do(ya,HN),BR={kernelName:ya,backendName:"cpu",kernelFunc:X7};var qN=yn(r=>Math.floor(r)),Y7=Do(rs,qN),VR={kernelName:rs,backendName:"cpu",kernelFunc:Y7};function Qb(r,t,e,n,o,s,i,a,u){let l=wt([n,s],e);for(let c=0;c=u/s)throw new Error(`Invalid indices: ${p} does not index into ${a}`);for(let f=0;fr>t?1:0),Z7=oe(Ca,KN,null,"bool"),GR={kernelName:Ca,backendName:"cpu",kernelFunc:Z7};var jN=Qt((r,t)=>r>=t?1:0),J7=oe(ss,jN,null,"bool"),WR={kernelName:ss,backendName:"cpu",kernelFunc:J7};var XN=Qt((r,t)=>rr<=t?1:0),tJ=oe(Ta,YN,null,"bool"),HR={kernelName:Ta,backendName:"cpu",kernelFunc:tJ};function ew(r,t,e){let n=(t-r)/(e-1),o=y.makeZerosTypedArray(e,"float32");o[0]=r;for(let s=1;sMath.log(r)),eJ=Do(as,ZN),qR={kernelName:as,backendName:"cpu",kernelFunc:eJ};function rw(r,t,e,n){let o=y.getTypedArrayFromDType(n,y.sizeFromShape(e));for(let s=0;sa)&&(a=l)}o[s]=a}return o}var JN=Qt((r,t)=>Math.max(r,t)),rJ=oe(us,JN),KR={kernelName:us,backendName:"cpu",kernelFunc:rJ};var QN=Qt((r,t)=>Math.min(r,t)),nJ=oe(fs,QN),jR={kernelName:fs,backendName:"cpu",kernelFunc:nJ};var Bh=Qt((r,t)=>r*t),oJ=od((r,t,e,n)=>({real:r*e-t*n,imag:r*n+t*e})),_c=oe(hs,Bh,oJ),XR={kernelName:hs,backendName:"cpu",kernelFunc:_c};function tT(r,t,e){let n=y.createScalarValue(-1,e);return Bh([],t,n,r,e)}function sJ(r){let{inputs:t,backend:e}=r,{x:n}=t;tt(n,"neg");let o=e.data.get(n.dataId).values,[s,i]=tT(o,n.shape,n.dtype);return e.makeTensorInfo(i,n.dtype,s)}var YR={kernelName:pi,backendName:"cpu",kernelFunc:sJ};var eT=Qt((r,t)=>r!==t?1:0),iJ=oe(Da,eT,null,"bool"),ZR={kernelName:Da,backendName:"cpu",kernelFunc:iJ};function id(r,t,e,n,o){let s=t.length,i=y.sizeFromShape(t),a=y.computeStrides(t),u=y.computeStrides(o),l=y.getTypedArrayFromDType(e,y.sizeFromShape(o));for(let c=0;ce.disposeIntermediateTensorInfo(b)),e.makeTensorInfo(x,g,d)}var QR={kernelName:ws,backendName:"cpu",kernelFunc:aJ};function lJ(r,t,e){r.forEach((n,o)=>{if(n<0||n>=e){let s=y.indexToLoc(o,t.length,y.computeStrides(t)).join(",");throw new Error(`indices[${s}] = ${n} is not in [0, ${e})`)}})}function uJ(r,t){for(let e=0;eo)throw new Error("Ragged splits must not point past values");for(let s=1;sn[s])throw new Error("Ragged splits must be sorted in ascending order")}}function cJ(r,t,e,n){let o=[],s=0,i=t.length-1+e.length,a=new Array(i).fill(null).map(()=>[0]);uJ(e,n);let u=1;for(let l=0;l=0){let h=a[d],g=h[h.length-1]-f[c];for(let x=c;xo[i]=s)}return t}function tF(r,t){let e=r.slice(0,t);for(;e.length1)throw new Error("starts must be a scalar or vector");if(o.length>1)throw new Error("limits must be a scalar or vector");if(i.length>1)throw new Error("deltas must be a scalar or vector");let a=t.length===0,u=o.length===0,l=i.length===0,c=[];a||c.push(t[0]),u||c.push(o[0]),l||c.push(i[0]);for(let g=1;g0&&bx)C=0;else if(C=Math.ceil(Math.abs((b-x)/w)),C>eF)throw new Error(`Requires ((limit - start) / delta) <= ${eF}`);m[g+1]=m[g]+C}let f=m[p],d=y.getArrayFromDType(e,f),h=0;for(let g=0;gn&&(n=s)}return n}static getMaxWidthValueRowID(t){let e=t.length;if(e===0)return 0;let n=0,o=t[0],s=0;for(let i=1;i"Final length of result must be equal to firstDimension."),s}calculateOutputIndexRowSplit(t,e,n,o){let s=t.length,i=[];for(let a=0;a0&&i.length!==t[s-1])throw new Error("Invalid row split size.");return i}calculateOutputIndexValueRowID(t,e,n,o){let s=t.length,i=[];if(s===0)return[];let a=0,u=t[0];if(u>=e.length)throw new Error(`Got currentValueRowId=${u}, which is not less than ${e.length}`);let l=e[u];i.push(l);for(let c=1;c=0&&(++a,a=e.length)throw new Error(`Got nextValueRowId=${p} which is not less than ${e.length}`);l=e[p]}i.push(l)}if(i.length!==t.length)throw new Error("Invalid row ids.");return i}calculateOutputIndex(t,e,n,o){let s=this.getRowPartitionTensor(t),i=this.getRowPartitionTypeByDimension(t);switch(i){case Ro.VALUE_ROWIDS:return this.calculateOutputIndexValueRowID(s,e,n,o);case Ro.ROW_SPLITS:if(s.length-1>e.length)throw new Error(`Row partition size is greater than output size: ${s.length-1} > ${e.length}`);return this.calculateOutputIndexRowSplit(s,e,n,o);default:throw new Error(`Unsupported partition type: ${Ro[i]}`)}}getFirstDimensionSize(){let t=this.rowPartitionValues[0];if(this.rowPartitionTypes.length===0)throw new Error("No row_partition_types given.");let e=this.rowPartitionTypes[0];switch(e){case Ro.FIRST_DIM_SIZE:return t[0];case Ro.VALUE_ROWIDS:throw new Error("Cannot handle VALUE_ROWIDS in first dimension.");case Ro.ROW_SPLITS:return this.rowPartitionValuesShapes[0][0]-1;default:throw new Error(`Cannot handle type ${Ro[e]}`)}}compute(){if(this.rowPartitionValues[0].length<=0)throw new Error("Invalid first partition input. Tensor requires at least one element.");let e=this.getFirstDimensionSize(),n=this.calculateOutputSize(e),o=new Array(this.raggedRank+1);o[o.length-1]=1;for(let u=o.length-2;u>=0;--u)o[u]=o[u+1]*n[u+1];let s=nF(n,!1),i=y.getArrayFromDType(this.valuesDType,y.sizeFromShape(s));if(o[0]*n[0]>0){let u=this.calculateFirstParentOutputIndex(e,o[0],n[0]);for(let l=1;l<=this.raggedRank;++l)u=this.calculateOutputIndex(l-1,u,o[l],n[l]);this.setOutput(this.raggedRank,u,i,s)}return[s,i]}setOutput(t,e,n,o){if(n.length===0)return;let s=this.values,i=n,a=o.slice();a=a.slice(t+1);let u=y.sizeFromShape(a),l=e.length,c=this.defaultValue;if(c.length!==u&&c.length!==1){let d=this.defaultValueShape;B(()=>{let h=R(c,d);c=Ri(h,a).dataSync()})}let p=0,m=0,f=0;for(let d=0;d<=l;++d){let h=d=l){let g=n.length;h=Math.floor(g/u)}if(h>f)if(this.defaultValue.length===1)i.subarray(f*u,h*u).fill(this.defaultValue[0]),f=h;else for(;h>f;){let g=i.slice(f*u);rF(g,c,u),++f}h<0?(p=d+1,m=f):(p=d,m=f,f=m+1)}}};function rF(r,t,e){for(let n=0;n= 0`);if(n<-1)throw new Error(`Dimension ${n} must be >= -1`);n=-1}e.push(n)}return e}function sw(r,t,e,n,o,s,i,a,u,l){return new ad(r,t,e,n,o,s,i,a,u,l).compute()}function Ac(r,t,e,n){let o=r===t,s=r1;if(o||s||i)return y.makeZerosTypedArray(0,n);let a=Math.abs(Math.ceil((t-r)/e)),u=y.makeZerosTypedArray(a,n);t1/Math.sqrt(r)),dJ=Do(ks,nT),oF={kernelName:ks,backendName:"cpu",kernelFunc:dJ};function dl(r,t,e,n,o,s,i,a,u,l){let c=[n/o,o],p=r.values,m=t.values;if(n===0)return wt(e,t.dtype);let f=wt(c,t.dtype);typeof u=="string"||typeof u=="number"?f.values.fill(u):typeof u=="boolean"&&f.values.fill(+u);for(let d=0;d=n/o)throw new Error(`Invalid indices: ${h} does not index into ${e}`);for(let x=0;x1/(1+Math.exp(-r))),oT=kt(_s,r=>1/(1+Math.exp(-r))),iF={kernelName:_s,backendName:"cpu",kernelFunc:oT};function $c(r,t,e,n,o){let s=Le.isSliceContinous(n,t,e),i=y.sizeFromShape(e),a=y.computeStrides(n);if(s){let p=Le.computeFlatOffset(t,a);return o==="string"?r.slice(p,p+i):r.subarray(p,p+i)}let u=o==="string"?v.fromUint8ToStringArray(r):r,l=wt(n,o,u),c=wt(e,o);for(let p=0;pd+t[h]);c.set(l.get(...f),...m)}return o==="string"?v.fromStringArrayToUint8(c.values):c.values}function Fo(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,size:i}=n;tt(o,"slice");let[a,u]=Le.parseSliceParams(o,s,i);Le.assertParamsValid(o,a,u);let l=e.data.get(o.dataId).values,c=$c(l,a,u,o.shape,o.dtype);return e.makeTensorInfo(u,o.dtype,c)}var aF={kernelName:gi,backendName:"cpu",kernelFunc:Fo};function iw(r,t,e,n,o,s,i){let a=t[0],u=s[0],l=new Array(u),c=new Array(a),p=t[1];if(u===0){if(a!==0)throw new Error(v.getSparseFillEmptyRowsIndicesDenseShapeMismatch(a));let g=y.getArrayFromDType(e,0),x=y.getArrayFromDType(o,0);return[g,[0,p],x,l,c]}let m=!0,f=0,d=new Array(u).fill(0);for(let g=0;g=u)throw new Error(v.getSparseFillEmptyRowsOutOfRangeIndexErrorMessage(g,x,u));++d[x],m=m&&x>=f,f=x}let h=!0;for(let g=0;g0&&(d[g]+=d[g-1])}if(h&&m){let g=r,x=n;for(let b=0;b0){f[m-1]=1;for(let g=m-2;g>=0;--g)f[g]=f[g+1]*n[g+1]}let d=[];if(a>0){d[a-1]=1;for(let g=a-2;g>=0;--g)d[g]=d[g+1]*u[g+1]}let h=y.getArrayFromDType(e,i*a);for(let g=0;g0?o[a-1]+1:0;if(p<0)throw new Error(v.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let m=t.slice();m[0]=p;let f=m.reduce((w,C)=>w*C,1),d=y.getArrayFromDType(e,f);if(a===0)return p>0&&d.fill(i),[d,m];if(p<=0)throw new Error(v.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let h=0,g=1,x=0,b=o[h];for(;;){let w=0;if(g=w)throw new Error(v.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage())}if(b<0||b>=p)throw new Error(v.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(b,p));b>x&&d.fill(i,x*l,b*l);for(let C=h;C=u[0])throw new Error(v.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(C,n[C],u[0]));for(let _=0;_a)break}return xMath.sqrt(r)),hJ=kt(As,r=>Math.sqrt(r)),uF={kernelName:As,backendName:"cpu",kernelFunc:hJ};var sT=Qt((r,t)=>{let e=r-t;return e*e}),gJ=oe(Rs,sT),cF={kernelName:Rs,backendName:"cpu",kernelFunc:gJ};function lw(r,t,e,n){let o=wt(r,t.dtype);for(let s=0;s0?0:a-u),f=0;f+=l*this.leftPad.length;for(let b=0;bb.forEach(w=>h[g++]=w);for(let b=0;b0){x(t[m+p-1]);for(let b=0;b0){let u=e[0];if(u!==0)throw new Error(`First split value must be 0, got ${u}`);for(let l=1;l=u;if(c=c&&e[l]<=n,!c)throw new Error(`Invalid split value ${e[l]}, must be in [${u}, ${n}]`);u=e[l]}if(u!==n)throw new Error(`Last split value must be data size. Expected ${n}, got ${u}`)}let s=o-1,i=y.getArrayFromDType("int32",o);if(n===0||o===0){let u=new Array(n);for(let l=0;l<=s;++l)i[l]=0;return[u,i]}i[0]=0;for(let u=1;u<=s;++u){let l=e[u]-e[u-1],c=0;this.nGramWidths.forEach(p=>{c+=this.getNumNGrams(l,p)}),this.preserveShort&&l>0&&c===0&&(c=1),i[u]=i[u-1]+c}let a=new Array(i[s]);for(let u=0;u{let m=e[u+1]-e[u],f=this.getNumNGrams(m,p);this.createNGrams(t,l,a,c,f,p),c+=f}),this.preserveShort&&c===i[u]){let p=e[u+1]-e[u];if(p===0)continue;let m=p+2*this.padWidth,f=1;this.createNGrams(t,l,a,c,f,m)}}return[a,i]}};function Dc(r,t,e,n,o,s,i,a){return new iT(e,n,o,s,i,a).compute(r,t)}function xJ(r,t,e,n){if(!r.length)return;if(t.length===0){for(let s=0;sr-t),yJ=od((r,t,e,n)=>({real:r-e,imag:t-n})),Vh=oe(Fs,aT,yJ),pF={kernelName:Fs,backendName:"cpu",kernelFunc:Vh};function uw(r,t){let e=new Array(r.rank);for(let o=0;o{let e=t.value-r.value;return e===0?r.index-t.index:e};function mF(r,t,e=0,n=r.length-1){for(;n>e;){if(n-e>600){let a=n-e+1,u=t-e+1,l=Math.log(a),c=.5*Math.exp(2*l/3),p=.5*Math.sqrt(l*c*(a-c)/a)*Math.sign(u-a/2),m=Math.max(e,Math.floor(t-u*c/a+p)),f=Math.min(n,Math.floor(t+(a-u)*c/a+p));mF(r,t,m,f)}let o=r[t],s=e,i=n;for(y.swap(r,e,t),Gh(r[n],o)>0&&y.swap(r,e,n);s0;)i=i-1}Gh(r[e],o)===0?y.swap(r,e,i):(i=i+1,y.swap(r,i,n)),i<=t&&(e=i+1),t<=i&&(n=i-1)}}function cw(r,t,e,n,o){let s=t[t.length-1],[i,a]=[r.length/s,s],u=y.getTypedArrayFromDType(e,i*n),l=y.getTypedArrayFromDType("int32",i*n);for(let p=0;pd[w]={value:b,index:w}),n{for(let g=0;gnew Nu,1);var lT=kt(ts,r=>r>=0?r:Math.exp(r)-1),fF={kernelName:ts,backendName:"cpu",kernelFunc:lT};function uT(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{alpha:s}=n;tt([o],"leakyRelu");let i=y.sizeFromShape(o.shape),a=e.data.get(o.dataId).values,u=y.getTypedArrayFromDType("float32",i);for(let l=0;lr<0?t*r:r);function cT(r){let{inputs:t,backend:e}=r,{x:n,alpha:o}=t;tt([n,o],"prelu");let s=e.data.get(n.dataId).values,i=e.data.get(o.dataId).values,[a,u]=wJ(n.shape,o.shape,s,i,"float32");return e.makeTensorInfo(u,"float32",a)}var hF={kernelName:bs,backendName:"cpu",kernelFunc:cT};var pT=kt(Cs,r=>Math.max(0,r)),gF={kernelName:Cs,backendName:"cpu",kernelFunc:pT};var mT=kt(vs,r=>Math.min(Math.max(0,r),6)),xF={kernelName:vs,backendName:"cpu",kernelFunc:mT};function Oc(r,t,e,n,o){if(e==="linear")return Kr({inputs:{x:t},backend:r});if(e==="relu")return pT({inputs:{x:t},backend:r});if(e==="elu")return lT({inputs:{x:t},backend:r});if(e==="relu6")return mT({inputs:{x:t},backend:r});if(e==="prelu")return cT({inputs:{x:t,alpha:n},backend:r});if(e==="leakyrelu")return uT({inputs:{x:t},backend:r,attrs:{alpha:o}});if(e==="sigmoid")return oT({inputs:{x:t},backend:r});throw new Error(`Activation ${e} has not been implemented for the CPU backend.`)}function Yt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{shape:s}=n,i=y.sizeFromShape(o.shape),a=y.inferFromImplicitShape(s,i),u=y.sizeFromShape(a);y.assert(i===u,()=>`The new shape (${a}) has ${u} elements and the old shape (${o.shape}) has ${i} elements. The new shape and old shape must have the same number of elements.`),e.incRef(o.dataId);let l=e.data.get(o.dataId);if(l.complexTensorInfos!=null){let c=l.complexTensorInfos.real,p=l.complexTensorInfos.imag;c.shape=a,p.shape=a}return{dataId:o.dataId,shape:a,dtype:o.dtype}}var yF={kernelName:di,backendName:"cpu",kernelFunc:Yt};function fT(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s}=t,{transposeA:i,transposeB:a}=n;tt([o,s],"matMul");let u=o.shape.length,l=s.shape.length,c=i?o.shape[u-2]:o.shape[u-1],p=a?s.shape[l-1]:s.shape[l-2],m=i?o.shape[u-1]:o.shape[u-2],f=a?s.shape[l-2]:s.shape[l-1],d=o.shape.slice(0,-2),h=s.shape.slice(0,-2),g=y.sizeFromShape(d),x=y.sizeFromShape(h),w=Vr.assertAndGetBroadcastShape(o.shape.slice(0,-2),s.shape.slice(0,-2)).concat([m,f]);y.assert(c===p,()=>`Error in matMul: inner shapes (${c}) and (${p}) of Tensors with shapes ${o.shape} and ${s.shape} and transposeA=${i} and transposeB=${a} must match.`);let C=i?[g,c,m]:[g,m,c],N=a?[x,f,p]:[x,p,f],_=Yt({inputs:{x:o},backend:e,attrs:{shape:C}}),A=Yt({inputs:{x:s},backend:e,attrs:{shape:N}}),$=i?_.shape[1]:_.shape[2],F=i?_.shape[2]:_.shape[1],P=a?A.shape[1]:A.shape[2],V=Math.max(g,x),G=e.data.get(_.dataId).values,W=e.data.get(A.dataId).values,q=y.computeStrides(_.shape),H=y.computeStrides(A.shape),[j,Y,Z]=i?[q[0],1,q[1]]:[q[0],q[1],1],[et,rt,ot]=a?[1,H[1],H[0]]:[H[1],1,H[0]],at=F*P,nt=wt([V,F,P],_.dtype),it=nt.values,dt=e.blockSize;for(let ht=0;htMath.acos(r)),CF={kernelName:oa,backendName:"cpu",kernelFunc:IJ};var SJ=kt(sa,r=>Math.acosh(r)),IF={kernelName:sa,backendName:"cpu",kernelFunc:SJ};function vJ(r){let{inputs:t,backend:e}=r,n=t;tt(t,"addN");let o=n.map(a=>e.data.get(a.dataId).values),s=wt(n[0].shape,n[0].dtype),i=s.values;for(let a=0;ab&&(b=N,w=C)}f[g]=w}return l.forEach(g=>e.disposeIntermediateTensorInfo(g)),e.makeTensorInfo(c,"int32",f)}var TF={kernelName:Wo,backendName:"cpu",kernelFunc:kJ};function EJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s}=n;tt(o,"argMin");let i=y.parseAxisParam(s,o.shape),a=v.getAxesPermutation(i,o.shape.length),u=o,l=[];a!=null&&(u=Ve({inputs:{x:o},backend:e,attrs:{perm:a}}),l.push(u),i=v.getInnerMostAxes(i.length,u.shape.length)),i=[i[0]],v.assertAxesAreInnerMostDims("argMin",i,u.shape.length);let[c,p]=v.computeOutAndReduceShapes(u.shape,i),m=y.sizeFromShape(c),f=y.makeZerosTypedArray(m,"int32"),d=y.sizeFromShape(p),h=e.data.get(u.dataId).values;for(let g=0;ge.disposeIntermediateTensorInfo(g)),e.makeTensorInfo(c,"int32",f)}var kF={kernelName:kl,backendName:"cpu",kernelFunc:EJ};var _J=kt(la,r=>Math.asin(r)),EF={kernelName:la,backendName:"cpu",kernelFunc:_J};var AJ=kt(ua,r=>Math.asinh(r)),_F={kernelName:ua,backendName:"cpu",kernelFunc:AJ};var $J=kt(ca,r=>Math.atan(r)),AF={kernelName:ca,backendName:"cpu",kernelFunc:$J};var DJ=Qt((r,t)=>Math.atan2(r,t)),RJ=oe(ma,DJ),$F={kernelName:ma,backendName:"cpu",kernelFunc:RJ};var FJ=kt(pa,r=>Math.atanh(r)),DF={kernelName:pa,backendName:"cpu",kernelFunc:FJ};function ud(r,t,e,n,o,s){let i=o.strideHeight,a=o.strideWidth,u=o.dilationHeight,l=o.dilationWidth,c=o.effectiveFilterHeight,p=o.effectiveFilterWidth,m=o.padInfo.top,f=o.padInfo.left,d=s==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,h=wt(o.outShape,e),g=h.values,x=o.outShape[1]*o.outShape[2]*o.outShape[3],b=o.outShape[2]*o.outShape[3],w=o.outShape[3];for(let C=0;CY?Y=dt:s==="avg"&&(Z+=dt,et++)}if(isNaN(Y))break}let rt=G+W*w+A;g[rt]=s==="avg"?Z/et:Y}}}return h}function fw(r,t,e,n,o=!1,s=!1){let i=wt(n.outShape,"int32"),a=n.strideHeight,u=n.strideWidth,l=n.dilationHeight,c=n.dilationWidth,p=n.effectiveFilterHeight,m=n.effectiveFilterWidth,f=n.padInfo.top,d=n.padInfo.left,h=wt(t,e,r);for(let g=0;gP&&(P=j,o?V=s?((g*n.inHeight+G)*n.inWidth+q)*n.inChannels+x:(G*n.inWidth+q)*n.inChannels+x:V=W*m+H)}}i.set(V,g,b,_,x)}}return i}function dw(r,t,e,n,o,s){let i=o.strideDepth,a=o.strideHeight,u=o.strideWidth,l=o.dilationDepth,c=o.dilationHeight,p=o.dilationWidth,m=o.effectiveFilterDepth,f=o.effectiveFilterHeight,d=o.effectiveFilterWidth,h=o.padInfo.front,g=o.padInfo.top,x=o.padInfo.left,b=s==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,w=wt(o.outShape,e),C=w.values,N=o.outShape[1]*o.outShape[2]*o.outShape[3]*o.outShape[4],_=o.outShape[2]*o.outShape[3]*o.outShape[4],A=o.outShape[3]*o.outShape[4],$=o.outShape[4];for(let F=0;FEt?Et=We:s==="avg"&&(At+=We,Vt++),isNaN(Et))break}if(isNaN(Et))break}if(isNaN(Et))break}let Zt=bt+G;C[Zt]=s==="avg"?At/Vt:Et}}}}return w}function RF(r,t){let e=wt(t.outShape,"int32"),n=t.strideDepth,o=t.strideHeight,s=t.strideWidth,i=t.dilationDepth,a=t.dilationHeight,u=t.dilationWidth,l=t.effectiveFilterDepth,c=t.effectiveFilterHeight,p=t.effectiveFilterWidth,m=t.padInfo.front,f=t.padInfo.top,d=t.padInfo.left;for(let h=0;h=W&&(W=ot,q=j*c*p+Z*c+rt)}}}e.set(q,h,x,N,F,g)}}}return e}function OJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t;tt(o,"avgPool");let{filterSize:s,strides:i,pad:a,dimRoundingMode:u}=n,l=1;y.assert(v.eitherStridesOrDilationsAreOne(i,l),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);let c=v.computePool2DInfo(o.shape,s,i,l,a,u),p;if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))p=Kr({inputs:{x:o},backend:e});else{let m=e.data.get(o.dataId).values,f=y.computeStrides(o.shape),d=ud(m,o.shape,o.dtype,f,c,"avg");p=e.makeTensorInfo(c.outShape,o.dtype,d.values)}return p}var FF={kernelName:Uo,backendName:"cpu",kernelFunc:OJ};function PJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{filterSize:s,strides:i,pad:a,dimRoundingMode:u,dataFormat:l}=n;tt(o,"avgPool3d");let c=v.computePool3DInfo(o.shape,s,i,1,a,u,l),p=e.data.get(o.dataId).values,m=dw(p,o.shape,o.dtype,y.computeStrides(o.shape),c,"avg");return e.makeTensorInfo(m.shape,"float32",m.values)}var OF={kernelName:El,backendName:"cpu",kernelFunc:PJ};function LJ(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,{filterSize:i,strides:a,pad:u,dimRoundingMode:l}=n;tt([o,s],"avgPool3DGrad");let c=v.computePool3DInfo(s.shape,i,a,1,u,l),p=c.strideDepth,m=c.strideHeight,f=c.strideWidth,d=c.filterDepth,h=c.filterHeight,g=c.filterWidth,x=c.dilationDepth,b=c.dilationHeight,w=c.dilationWidth,C=c.effectiveFilterDepth,N=c.effectiveFilterHeight,_=c.effectiveFilterWidth,A=C-1-c.padInfo.front,$=_-1-c.padInfo.left,F=N-1-c.padInfo.top,P=wt(s.shape,"float32"),V=1/(d*h*g),G=e.bufferSync(o);for(let W=0;W=c.outDepth||Math.floor(nt)!==nt))for(let it=0;it=c.outHeight||Math.floor(dt)!==dt))for(let ht=0;ht<_;ht+=w){let bt=(rt+ht)/f;if(bt<0||bt>=c.outWidth||Math.floor(bt)!==bt)continue;ot+=G.get(W,nt,dt,bt,q)}}}P.set(ot*V,W,H,j,Y,q)}return e.makeTensorInfo(P.shape,P.dtype,P.values)}var PF={kernelName:lp,backendName:"cpu",kernelFunc:LJ};function MJ(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s;tt([o,s],"avgPoolGrad");let{filterSize:a,strides:u,pad:l}=n,c=v.computePool2DInfo(i.shape,a,u,1,l),p=c.strideHeight,m=c.strideWidth,f=c.filterHeight,d=c.filterWidth,h=c.dilationHeight,g=c.dilationWidth,x=c.effectiveFilterHeight,b=c.effectiveFilterWidth,w=b-1-c.padInfo.left,C=x-1-c.padInfo.top,N=wt(i.shape,"float32"),_=1/(f*d),A=e.data.get(o.dataId).values,$=wt(o.shape,"float32",A);for(let F=0;F=c.outHeight||Math.floor(Y)!==Y))for(let Z=0;Z=c.outWidth||Math.floor(et)!==et)continue;H+=$.get(F,Y,et,P)}}N.set(H*_,F,V,G,P)}return e.makeTensorInfo(N.shape,N.dtype,N.values)}var LF={kernelName:ap,backendName:"cpu",kernelFunc:MJ};function zJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,scale:s,offset:i,mean:a,variance:u}=t;y.assert(a.shape.length===u.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),y.assert(i==null||a.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),y.assert(s==null||a.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks."),tt([o,a,u,s,i],"batchNorm");let{varianceEpsilon:l}=n;l==null&&(l=.001);let c=e.data.get(o.dataId).values,p=e.data.get(a.dataId).values,m=e.data.get(u.dataId).values,f=s?e.data.get(s.dataId).values:new Float32Array([1]),d=i?e.data.get(i.dataId).values:new Float32Array([0]),h=new Float32Array(c.length),g=d.length,x=f.length,b=m.length,w=p.length,C=0,N=0,_=0,A=0;for(let $=0;$=g&&(C=0),N>=w&&(N=0),_>=x&&(_=0),A>=b&&(A=0);return e.makeTensorInfo(o.shape,o.dtype,h)}var MF={kernelName:os,backendName:"cpu",kernelFunc:zJ};function BJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,crops:i}=n;tt([o],"batchToSpaceND");let a=s.reduce((x,b)=>x*b),u=v.getReshaped(o.shape,s,a),l=v.getPermuted(u.length,s.length),c=v.getReshapedPermuted(o.shape,s,a),p=v.getSliceBeginCoords(i,s.length),m=v.getSliceSize(c,i,s.length),f=Yt({inputs:{x:o},backend:e,attrs:{shape:u}}),d=Ve({inputs:{x:f},backend:e,attrs:{perm:l}}),h=Yt({inputs:{x:d},backend:e,attrs:{shape:c}}),g=Fo({inputs:{x:h},backend:e,attrs:{begin:p,size:m}});return e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(h),g}var zF={kernelName:ai,backendName:"cpu",kernelFunc:BJ};function VJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,weights:s}=t,{size:i}=n,a=e.data.get(o.dataId).values,u=e.data.get(s.dataId).values,l=sd(a,u,s.dtype,s.shape,i);return e.makeTensorInfo([i],s.dtype,l)}var BF={kernelName:up,backendName:"cpu",kernelFunc:VJ};function GJ(r){let{inputs:t,backend:e}=r,{s0:n,s1:o}=t,s=e.data.get(n.dataId).values,i=e.data.get(o.dataId).values,a=v.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return e.makeTensorInfo([a.length],"int32",Int32Array.from(a))}var VF={kernelName:cp,backendName:"cpu",kernelFunc:GJ};var WJ=kt(uo,(r,t)=>{let e=t;return r>e.clipValueMax?e.clipValueMax:r{let{x:t}=r.inputs,e=r.backend,n=new Float32Array(y.sizeFromShape(t.shape)),o=e.data.get(t.dataId),s=o.complexTensorInfos.real,i=o.complexTensorInfos.imag,a=e.data.get(s.dataId).values,u=e.data.get(i.dataId).values;for(let l=0;lh.shape);v.assertParamsConsistent(i,s);let a=v.computeOutShape(t.map(h=>h.shape),s);if(y.sizeFromShape(a)===0)return e.makeTensorInfo(a,t[0].dtype,[]);let u=t.filter(h=>y.sizeFromShape(h.shape)>0);if(u.length===1)return Kr({inputs:{x:u[0]},backend:e});if(u[0].dtype==="complex64"){let h=u.map(C=>Ao({inputs:{input:C},backend:e})),g=u.map(C=>ji({inputs:{input:C},backend:e})),x=Tu({inputs:h,backend:e,attrs:{axis:s}}),b=Tu({inputs:g,backend:e,attrs:{axis:s}}),w=wr({inputs:{real:x,imag:b},backend:e});return h.forEach(C=>e.disposeIntermediateTensorInfo(C)),g.forEach(C=>e.disposeIntermediateTensorInfo(C)),e.disposeIntermediateTensorInfo(x),e.disposeIntermediateTensorInfo(b),w}let l=u.map(h=>{let g=y.sizeFromShape(h.shape.slice(s));return Yt({inputs:{x:h},backend:e,attrs:{shape:[-1,g]}})}),c=l.map(h=>({vals:e.data.get(h.dataId).values,shape:h.shape}));a=v.computeOutShape(l.map(h=>h.shape),1);let p=l[0].shape[0]===1,m=Ec(c,a,t[0].dtype,p),f=v.computeOutShape(u.map(h=>h.shape),s),d=e.makeTensorInfo(f,t[0].dtype,m);return l.forEach(h=>e.disposeIntermediateTensorInfo(h)),d}var HF={kernelName:li,backendName:"cpu",kernelFunc:Tu};function dT(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dataFormat:u,dilations:l,dimRoundingMode:c}=n;tt([o,s],"conv2d");let p=v.convertConv2DDataFormat(u),m=v.computeConv2DInfo(o.shape,s.shape,i,l,a,c,!1,p),f=m.filterHeight,d=m.filterWidth,h=m.dilationHeight,g=m.dilationWidth,x=m.padInfo.left,b=m.padInfo.top,w=m.dataFormat==="channelsLast",C=new pe(m.outShape,o.dtype),N=y.computeStrides(o.shape),_=y.computeStrides(s.shape),A=N[0],$=w?N[1]:N[2],F=w?N[2]:1,P=w?1:N[1],V=C.strides[0],G=w?C.strides[1]:C.strides[2],W=w?C.strides[2]:1,q=w?1:C.strides[1],H=e.data.get(o.dataId).values,j=e.data.get(s.dataId).values,Y=C.values;for(let Z=0;Z=m.inHeight)continue;let ht=it*_[0],bt=et+dt*$;for(let Et=0;Et=m.inWidth)continue;let he=ht+Zt*_[1],jt=bt+ce*F,ke=he;for(let fe=0;fe=l.inDepth)continue;let Z=j*F[0],et=V+Y*$[1];for(let rt=0;rt=l.inHeight)continue;let dt=Z+nt*F[1],ht=et+it*$[2];for(let bt=0;bt=l.inWidth)continue;let ce=dt+Vt*F[2],he=ht+Zt*l.inChannels,jt=ce;for(let ke=0;keMath.cos(r)),JF={kernelName:Xo,backendName:"cpu",kernelFunc:YJ};var ZJ=kt(Yo,r=>Math.cosh(r)),QF={kernelName:Yo,backendName:"cpu",kernelFunc:ZJ};function JJ(r){let{inputs:t,backend:e,attrs:n}=r,{image:o,boxes:s,boxInd:i}=t,{cropSize:a,method:u,extrapolationValue:l}=n,[c,p,m,f]=o.shape,d=s.shape[0],[h,g]=a,x=wt([d,h,g,f],"float32"),b=e.data.get(s.dataId).values,w=e.data.get(i.dataId).values,C=e.data.get(o.dataId).values,N=y.computeStrides(o.shape),_=y.computeStrides(x.shape);for(let A=0;A=c)continue;let q=h>1?(V-F)*(p-1)/(h-1):0,H=g>1?(G-P)*(m-1)/(g-1):0;for(let j=0;j1?F*(p-1)+j*q:.5*(F+V)*(p-1);if(Y<0||Y>p-1){for(let Z=0;Z1?P*(m-1)+ot*H:.5*(P+G)*(m-1);if(at<0||at>m-1){for(let ht=0;ht1?P*(m-1)+Z*H:.5*(P+G)*(m-1);if(et<0||et>m-1){for(let at=0;atx+d-b-1:(x,b)=>x+b;for(let x=0;xx+d-b-1:(x,b)=>x+b;for(let x=0;x`Only NHWC dataFormat supported on CPU for depthToSpace. Got ${i}`);let a=o.shape[0],u=o.shape[1],l=o.shape[2],c=o.shape[3],p=u*s,m=l*s,f=c/(s*s),d=e.data.get(o.dataId).values,h=new Float32Array(a*p*m*f),g=0;for(let x=0;x`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${m}'`);let f=v.computeConv2DInfo(o.shape,s.shape,i,m,a,l,!0),{filterHeight:d,filterWidth:h,dilationHeight:g,dilationWidth:x,padInfo:b}=f,w=b.left,C=b.top,N=f.outChannels/f.inChannels,_=new pe(f.outShape,o.dtype),A=e.data.get(o.dataId).values,$=e.data.get(s.dataId).values,F=_.values;for(let P=0;P=f.inHeight)continue;let Z=j*p[0],et=V+Y*c[1];for(let rt=0;rt=f.inWidth)continue;let dt=Z+nt*p[1],ht=et+it*f.inChannels,bt=ot,Et=dt;for(let At=0;At{let{x:n,filter:o}=r,{strides:s,pad:i,dilations:a}=e,u=t,l=u.data.get(n.dataId).values,c=n.shape.length,p=u.data.get(o.dataId).values,m=o.shape.length,{batchSize:f,inHeight:d,inWidth:h,inChannels:g,outHeight:x,outWidth:b,padInfo:w,strideHeight:C,strideWidth:N,filterHeight:_,filterWidth:A,dilationHeight:$,dilationWidth:F,outShape:P}=v.computeDilation2DInfo(n.shape,o.shape,s,i,"NHWC",a),V=y.sizeFromShape(P),G=P.length,W=y.getArrayFromDType(n.dtype,V);for(let H=0;H=0&&it=0&&htot&&(ot=At)}}}let at=y.locToIndex([H,j,Z,rt],G,y.computeStrides(P));W[at]=ot}}}return{dataId:u.write(y.toTypedArray(W,n.dtype),P,n.dtype),shape:P,dtype:n.dtype}}};var cO={kernelName:Xd,backendName:"cpu",kernelFunc:({inputs:r,backend:t,attrs:e})=>{let{x:n,filter:o,dy:s}=r,{strides:i,pad:a,dilations:u}=e,l=t,c=y.toNestedArray(n.shape,l.data.get(n.dataId).values),p=y.toNestedArray(o.shape,l.data.get(o.dataId).values),{batchSize:m,inHeight:f,inWidth:d,inChannels:h,outHeight:g,outWidth:x,padInfo:b,strideHeight:w,strideWidth:C,filterHeight:N,filterWidth:_,dilationHeight:A,dilationWidth:$,outShape:F}=v.computeDilation2DInfo(n.shape,o.shape,i,a,"NHWC",u);y.assert(s.rank===F.length,()=>`Error in ${Xd}, dy must have the same rank as output ${F.length}, but got ${s.rank}`);let P=y.toNestedArray(F,l.data.get(s.dataId).values),V=y.makeZerosNestedTypedArray(o.shape,o.dtype);for(let W=0;W=0&&nt=0&&dtet&&(et=ht,rt=at,ot=it)}}}V[rt][ot][Z]+=P[W][q][j][Z]}}}return{dataId:l.write(y.toTypedArray(V,n.dtype),o.shape,o.dtype),shape:o.shape,dtype:o.dtype}}};var pO={kernelName:jd,backendName:"cpu",kernelFunc:({inputs:r,backend:t,attrs:e})=>{let{x:n,filter:o,dy:s}=r,{strides:i,pad:a,dilations:u}=e,l=t,c=y.toNestedArray(n.shape,l.data.get(n.dataId).values),p=y.toNestedArray(o.shape,l.data.get(o.dataId).values),{batchSize:m,inHeight:f,inWidth:d,inChannels:h,outHeight:g,outWidth:x,padInfo:b,strideHeight:w,strideWidth:C,filterHeight:N,filterWidth:_,dilationHeight:A,dilationWidth:$,outShape:F}=v.computeDilation2DInfo(n.shape,o.shape,i,a,"NHWC",u);y.assert(s.rank===F.length,()=>`Error in ${jd}, dy must have the same rank as output ${F.length}, but got ${s.rank}`);let P=y.toNestedArray(F,l.data.get(s.dataId).values),V=y.makeZerosNestedTypedArray(n.shape,n.dtype);for(let W=0;W=0&&nt=0&&dtet&&(et=ht,rt=nt,ot=dt)}}}V[W][rt][ot][Z]+=P[W][q][j][Z]}}}return{dataId:l.write(y.toTypedArray(V,n.dtype),n.shape,n.dtype),shape:n.shape,dtype:n.dtype}}};function hl(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n;tt(o,"sum");let a;o.dtype==="bool"?a=$o({inputs:{x:o},backend:e,attrs:{dtype:"int32"}}):a=Kr({inputs:{x:o},backend:e});let u=a.shape.length,l=y.parseAxisParam(s,a.shape),c=v.getAxesPermutation(l,u),p=l,m=a;c!=null&&(m=Ve({inputs:{x:a},backend:e,attrs:{perm:c}}),p=v.getInnerMostAxes(p.length,u)),v.assertAxesAreInnerMostDims("sum",p,m.shape.length);let[f,d]=v.computeOutAndReduceShapes(m.shape,p),h=v.upcastType(m.dtype,"int32"),g=nd(e,f,h),x=y.sizeFromShape(d),b=e.data.get(g.dataId).values,w=e.data.get(m.dataId).values;for(let C=0;C=0&&(m=hl({inputs:{x:m},backend:e,attrs:{axis:l[h]-(i.length-f),keepDims:!1}}),d.push(m)),f--)}for(let h of d)h!==m&&e.disposeIntermediateTensorInfo(h);return m}var fO={kernelName:bp,backendName:"cpu",kernelFunc:iQ};function aQ(r){let{inputs:t,backend:e}=r,{dy:n,y:o}=t;tt([n,o],"eluGrad");let s=new Float32Array(y.sizeFromShape(o.shape)),i=e.data.get(o.dataId).values,a=e.data.get(n.dataId).values;for(let u=0;u=1?s[u]=a[u]:s[u]=a[u]*(l+1)}return e.makeTensorInfo(o.shape,"float32",s)}var dO={kernelName:wp,backendName:"cpu",kernelFunc:aQ};var lQ=v.ERF_P,uQ=v.ERF_A1,cQ=v.ERF_A2,pQ=v.ERF_A3,mQ=v.ERF_A4,fQ=v.ERF_A5,dQ=kt(ga,r=>{let t=Math.sign(r),e=Math.abs(r),n=1/(1+lQ*e);return t*(1-((((fQ*n+mQ)*n+pQ)*n+cQ)*n+uQ)*n*Math.exp(-e*e))}),hO={kernelName:ga,backendName:"cpu",kernelFunc:dQ};function cd(r){let{inputs:t,backend:e,attrs:n}=r,{input:o}=t,{dim:s}=n,i=o.shape.length,a=o.shape.slice(),u=s;return s<0&&(y.assert(-(i+1)<=s,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),u=i+s+1),a.splice(u,0,1),Yt({inputs:{x:o},backend:e,attrs:{shape:a}})}var gO={kernelName:ui,backendName:"cpu",kernelFunc:cd};var hQ=Qt((r,t)=>r/t),Wh=oe(Qo,hQ),Uh={kernelName:Qo,backendName:"cpu",kernelFunc:Wh};function hw(r,t,e){let n=r.shape,o=n[0],s=n[1],i=e.data.get(r.dataId),a=i.complexTensorInfos.real,u=i.complexTensorInfos.imag,l=[o,s],c=y.sizeFromShape(l),p=y.getTypedArrayFromDType("float32",c),m=y.getTypedArrayFromDType("float32",c);for(let g=0;g{let{image:n}=r,o=e,s=y.getTypedArrayFromDType(n.dtype,y.sizeFromShape(n.shape)),[i,a,u,l]=n.shape,c=o.data.get(n.dataId).values;for(let m=0;m=0&&wMath.floor(r/t)),IQ=oe(ns,CQ,null,"int32"),wO={kernelName:ns,backendName:"cpu",kernelFunc:IQ};function SQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=n,h=dT({inputs:{x:o,filter:s},backend:e,attrs:{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m}});if(i){let g=h;if(c==="NCHW"&&i.shape.length===1&&i.shape[0]!==1){let x=Yt({inputs:{x:i},backend:e,attrs:{shape:[i.shape[0],1,1]}});h=Ki({inputs:{a:h,b:x},backend:e}),e.disposeIntermediateTensorInfo(x)}else h=Ki({inputs:{a:h,b:i},backend:e});e.disposeIntermediateTensorInfo(g)}if(f){let g=h;if(c==="NCHW"&&f==="prelu"&&a.shape.length===1&&a.shape[0]!==1){let x=Yt({inputs:{x:a},backend:e,attrs:{shape:[a.shape[0],1,1]}});h=Oc(e,h,f,x,d),e.disposeIntermediateTensorInfo(x)}else h=Oc(e,h,f,a,d);e.disposeIntermediateTensorInfo(g)}return h}var CO={kernelName:Ii,backendName:"cpu",kernelFunc:SQ};function vQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=n,h=hT({inputs:{x:o,filter:s},backend:e,attrs:{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m}});if(i){let g=h;h=Ki({inputs:{a:h,b:i},backend:e}),e.disposeIntermediateTensorInfo(g)}if(f){let g=h;h=Oc(e,h,f,a,d),e.disposeIntermediateTensorInfo(g)}return h}var IO={kernelName:Si,backendName:"cpu",kernelFunc:vQ};function NQ(r){let{inputs:t,backend:e}=r,{params:n,indices:o}=t,s=y.sizeFromShape(n.shape),i=o.shape,a=i[i.length-1],[u,l,c,p]=v.prepareAndValidate(n,o);if(l===0)return e.makeTensorInfo(u,n.dtype,[]);let m=e.data.get(o.dataId).values,f=e.bufferSync(n),d=Qb(m,f,n.dtype,l,a,c,p,n.shape,s);return e.makeTensorInfo(u,n.dtype,d.values)}var SO={kernelName:wa,backendName:"cpu",kernelFunc:NQ};function TQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,indices:s}=t,{axis:i,batchDims:a}=n;tt([o,s],"gatherV2");let u=y.parseAxisParam(i,o.shape)[0],l=e.data.get(s.dataId).values,c=o.shape[u];for(let C=0;C=0,()=>`GatherV2: the index value ${N} is not in [0, ${c-1}]`)}let p=a;a==null&&(p=0);let m=y.sizeFromShape(s.shape),f=v.segment_util.collectGatherOpShapeInfo(o,s,u,p),d=Yt({inputs:{x:o},backend:e,attrs:{shape:[f.batchSize,f.outerSize,f.dimSize,f.sliceSize]}}),h=Yt({inputs:{x:s},backend:e,attrs:{shape:[f.batchSize,m/f.batchSize]}}),g=[f.batchSize,f.outerSize,m/f.batchSize,f.sliceSize],x=e.bufferSync(h),b=e.bufferSync(d),w=tw(b,x,g);return e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(h),e.makeTensorInfo(f.outputShape,w.dtype,w.values)}var vO={kernelName:ci,backendName:"cpu",kernelFunc:TQ};function kQ(r){let{inputs:t,backend:e}=r,{input:n}=t,o=y.sizeFromShape(n.shape),s=n.shape[n.shape.length-1],i=o/s,a=Yt({inputs:{x:n},backend:e,attrs:{shape:[i,s]}}),u=hw(a,!0,e),l=Yt({inputs:{x:u},backend:e,attrs:{shape:n.shape}});return e.disposeIntermediateTensorInfo(a),e.disposeIntermediateTensorInfo(u),l}var NO={kernelName:Ip,backendName:"cpu",kernelFunc:kQ};var EQ=kt(Ia,r=>Number.isFinite(r)?1:0,"bool"),TO={kernelName:Ia,backendName:"cpu",kernelFunc:EQ};var _Q=kt(Sa,r=>Math.abs(r)===1/0?1:0,"bool"),kO={kernelName:Sa,backendName:"cpu",kernelFunc:_Q};var AQ=kt(va,r=>Number.isNaN(r)?1:0,"bool"),EO={kernelName:va,backendName:"cpu",kernelFunc:AQ};function $Q(r){let{backend:t,attrs:e}=r,{start:n,stop:o,num:s}=e,i=ew(n,o,s);return t.makeTensorInfo([i.length],"float32",i)}var _O={kernelName:vp,backendName:"cpu",kernelFunc:$Q};var DQ=kt(ka,r=>Math.log1p(r)),AO={kernelName:ka,backendName:"cpu",kernelFunc:DQ};var RQ=Qt((r,t)=>r&&t),FQ=oe(Ea,RQ,null,"bool"),$O={kernelName:Ea,backendName:"cpu",kernelFunc:FQ};var OQ=kt(_a,r=>r?0:1,"bool"),DO={kernelName:_a,backendName:"cpu",kernelFunc:OQ};var PQ=Qt((r,t)=>r||t),LQ=oe(Aa,PQ,null,"bool"),RO={kernelName:Aa,backendName:"cpu",kernelFunc:LQ};function MQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{depthRadius:s,bias:i,alpha:a,beta:u}=n;tt(o,"LRN");let l=o.shape[3],c=l-1,p=e.data.get(o.dataId).values,m=y.sizeFromShape(o.shape),f=new Float32Array(m);function d(h){let g=h%l,x=h-g+Math.max(0,g-s),b=h-g+Math.min(g+s,c),w=0;for(;x<=b;x++){let C=p[x];w+=C*C}return w}for(let h=0;h`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);let c=v.computePool2DInfo(o.shape,s,i,l,a,u),p;if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))p=Kr({inputs:{x:o},backend:e});else{let m=e.data.get(o.dataId).values,f=y.computeStrides(o.shape),d=ud(m,o.shape,o.dtype,f,c,"max");p=e.makeTensorInfo(c.outShape,o.dtype,d.values)}return p}var LO={kernelName:cs,backendName:"cpu",kernelFunc:BQ};function VQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{filterSize:s,strides:i,pad:a,dimRoundingMode:u,dataFormat:l}=n;tt(o,"maxPool3d");let c=v.computePool3DInfo(o.shape,s,i,1,a,u,l),p=e.data.get(o.dataId).values,m=dw(p,o.shape,o.dtype,y.computeStrides(o.shape),c,"max");return e.makeTensorInfo(m.shape,"float32",m.values)}var MO={kernelName:Fl,backendName:"cpu",kernelFunc:VQ};function GQ(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,{filterSize:i,strides:a,pad:u,dimRoundingMode:l}=n;tt([o,s],"maxPool3DGrad");let c=v.computePool3DInfo(s.shape,i,a,1,u,l),p=e.bufferSync(s),m=RF(p,c),f=c.strideDepth,d=c.strideHeight,h=c.strideWidth,g=c.dilationDepth,x=c.dilationHeight,b=c.dilationWidth,w=c.effectiveFilterDepth,C=c.effectiveFilterHeight,N=c.effectiveFilterWidth,_=w-1-c.padInfo.front,A=N-1-c.padInfo.left,$=C-1-c.padInfo.top,F=wt(s.shape,"float32"),P=e.bufferSync(o);for(let V=0;V=c.outDepth||Math.floor(ot)!==ot))for(let at=0;at=c.outHeight||Math.floor(nt)!==nt))for(let it=0;it=c.outWidth||Math.floor(dt)!==dt)continue;let ht=w*C*N-1-m.get(V,ot,nt,dt,G),bt=rt*C*N+at*N+it,Et=ht===bt?1:0;if(Et===0)continue;et+=P.get(V,ot,nt,dt,G)*Et}}}F.set(et,V,W,q,H,G)}return e.makeTensorInfo(F.shape,F.dtype,F.values)}var zO={kernelName:kp,backendName:"cpu",kernelFunc:GQ};function WQ(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s,output:i}=t,a=s;tt([s,i],"maxPoolGrad");let{filterSize:u,strides:l,pad:c,dimRoundingMode:p}=n,m=v.computePool2DInfo(a.shape,u,l,1,c,p),f=e.data.get(a.dataId).values,d=wt(m.outShape,a.dtype,fw(f,a.shape,a.dtype,m).values),h=m.strideHeight,g=m.strideWidth,x=m.dilationHeight,b=m.dilationWidth,w=m.effectiveFilterHeight,C=m.effectiveFilterWidth,N=C-1-m.padInfo.left,_=w-1-m.padInfo.top,A=wt(a.shape,"float32"),$=e.data.get(o.dataId).values,F=wt(o.shape,"float32",$);for(let P=0;P=m.outHeight||Math.floor(Z)!==Z))for(let et=0;et=m.outWidth||Math.floor(rt)!==rt)continue;let ot=w*C-1-d.get(P,Z,rt,V),at=Y*C+et,nt=ot===at?1:0;if(nt===0)continue;j+=F.get(P,Z,rt,V)*nt}}A.set(j,P,G,W,V)}return e.makeTensorInfo(A.shape,A.dtype,A.values)}var BO={kernelName:Tp,backendName:"cpu",kernelFunc:WQ};function VO(r,t,e,n,o){let s=y.computeStrides(t),i=ud(r,t,e,s,o,"max"),a=fw(r,t,e,o,!0,n);return[i.values,a.values]}var GO={kernelName:Ep,backendName:"cpu",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{x:n}=r,{filterSize:o,strides:s,pad:i,includeBatchInIndex:a}=t,u=e;tt(n,"MaxPoolWithArgmax");let l=u.data.get(n.dataId).values,c=v.computePool2DInfo(n.shape,o,s,[1,1],i),[p,m]=VO(l,n.shape,n.dtype,a,c),f=u.write(p,c.outShape,n.dtype),d=u.write(m,c.outShape,n.dtype);return[{dataId:f,shape:c.outShape,dtype:n.dtype},{dataId:d,shape:c.outShape,dtype:"int32"}]}};function UQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=y.parseAxisParam(s,o.shape),l=v.computeOutAndReduceShapes(o.shape,a)[1],c=y.sizeFromShape(l),p=[],m=e.makeTensorInfo([],"float32",new Float32Array([c]));p.push(m);let f=$o({inputs:{x:o},backend:e,attrs:{dtype:"float32"}});p.push(f);let d=Wh({inputs:{a:f,b:m},backend:e});p.push(d);let h=hl({inputs:{x:d},backend:e,attrs:{axis:s,keepDims:i}});return p.forEach(g=>e.disposeIntermediateTensorInfo(g)),h}var WO={kernelName:ps,backendName:"cpu",kernelFunc:UQ};function HQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n;tt(o,"min");let a=y.parseAxisParam(s,o.shape),u=a,l=v.getAxesPermutation(u,o.shape.length),c=o;l!=null&&(c=Ve({inputs:{x:o},backend:e,attrs:{perm:l}}),u=v.getInnerMostAxes(u.length,o.shape.length)),v.assertAxesAreInnerMostDims("min",u,c.shape.length);let[p,m]=v.computeOutAndReduceShapes(c.shape,u),f=y.sizeFromShape(m),d=y.makeZerosTypedArray(y.sizeFromShape(p),c.dtype),h=e.data.get(c.dataId).values;for(let x=0;xw[0]+o.shape[C]+w[1]),u=s.map(w=>w[0]),l=s.map((w,C)=>w[0]+o.shape[C]),c=i==="reflect"?0:1,p=e.data.get(o.dataId).values,m=o.shape.length,f=y.computeStrides(o.shape),d=y.sizeFromShape(a),h=a.length,g=y.computeStrides(a),x=y.getTypedArrayFromDType(o.dtype,d);for(let w=0;w=l[_]&&(C[_]=(l[_]-1)*2-C[_]+c);C=C.map((_,A)=>_-u[A]);let N=y.locToIndex(C,m,f);x[w]=p[N]}return{dataId:e.write(x,a,o.dtype),shape:a,dtype:o.dtype}}var HO={kernelName:ds,backendName:"cpu",kernelFunc:qQ};var KQ=Qt((r,t)=>{let e=r%t;return r<0&&t<0||r>=0&&t>=0?e:(e+t)%t}),jQ=oe($a,KQ),qO={kernelName:$a,backendName:"cpu",kernelFunc:jQ};var jO=Tl(fh());function yT(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{dim:s}=n,i=o.shape.length,a=s;if(a===-1&&(a=i-1),a!==i-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${i} and dim was ${a}`);let u=y.parseAxisParam([a],o.shape),l=xT({inputs:{x:o},backend:e,attrs:{reductionIndices:u,keepDims:!1}}),c=v.expandShapeToKeepDim(l.shape,u),p=Yt({inputs:{x:l},backend:e,attrs:{shape:c}}),m=Vh({inputs:{a:o,b:p},backend:e}),f=UN({inputs:{x:m},backend:e}),d=hl({inputs:{x:f},backend:e,attrs:{axis:u,keepDims:!1}}),h=Yt({inputs:{x:d},backend:e,attrs:{shape:c}}),g=Wh({inputs:{a:f,b:h},backend:e});return e.disposeIntermediateTensorInfo(l),e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(h),g}var KO={kernelName:Ds,backendName:"cpu",kernelFunc:yT};function XQ(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{numSamples:s,seed:i,normalized:a}=n;tt(o,"multinomial");let u=a?o:yT({inputs:{logits:o},backend:e,attrs:{dim:-1}}),l=u.shape[0],c=u.shape[1],p=e.data.get(u.dataId).values,m=[l,s],f=y.makeZerosTypedArray(y.sizeFromShape(m),"int32");for(let d=0;d=0&&p[m]{y.assertShapesMatch(s,c.shape,"All tensors passed to stack must have matching shapes"),y.assert(i===c.dtype,()=>"All tensors passed to stack must have matching dtypes")});let a=[],u=t.map(c=>{let p=cd({inputs:{input:c},backend:e,attrs:{dim:o}});return a.push(p),p}),l=Tu({inputs:u,backend:e,attrs:{axis:o}});return a.forEach(c=>e.disposeIntermediateTensorInfo(c)),l}var nP={kernelName:fi,backendName:"cpu",kernelFunc:bT};function n9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{paddings:s,constantValue:i}=n;tt(o,"pad");let a=s.map((b,w)=>b[0]+o.shape[w]+b[1]),u=s.map(b=>b[0]),l=e.data.get(o.dataId).values,c=y.sizeFromShape(o.shape),p=o.shape.length,m=y.computeStrides(o.shape),f=y.sizeFromShape(a),d=a.length,h=y.computeStrides(a),g=y.getTypedArrayFromDType(o.dtype,f);i!==0&&g.fill(i);for(let b=0;b_+u[A]),N=y.locToIndex(C,d,h);g[N]=l[b]}return{dataId:e.write(g,a,o.dtype),shape:a,dtype:o.dtype}}var gw={kernelName:xs,backendName:"cpu",kernelFunc:n9};var o9=Qt((r,t)=>Math.pow(r,t)),s9=oe(ys,o9),oP={kernelName:ys,backendName:"cpu",kernelFunc:s9};function i9(r){let{inputs:t,backend:e,attrs:n}=r,{paramsNestedSplits:o,paramsDenseValues:s,indices:i}=t,{outputRaggedRank:a}=n,u=o.map(x=>e.data.get(x.dataId).values),l=o.map(x=>x.shape),c=e.data.get(s.dataId).values,p=e.data.get(i.dataId).values,[m,f,d]=nw(u,l,c,s.shape,s.dtype,p,i.shape,a),h=m.map(x=>e.makeTensorInfo([x.length],"int32",x)),g=e.makeTensorInfo(d,s.dtype,f);return h.concat([g])}var sP={kernelName:Ap,backendName:"cpu",kernelFunc:i9};function a9(r){let{inputs:t,backend:e}=r,{starts:n,limits:o,deltas:s}=t,i=e.data.get(n.dataId).values,a=e.data.get(o.dataId).values,u=e.data.get(s.dataId).values,[l,c]=ow(i,n.shape,n.dtype,a,o.shape,u,s.shape),p=e.makeTensorInfo([l.length],"int32",l),m=e.makeTensorInfo([c.length],n.dtype,c);return[p,m]}var iP={kernelName:$p,backendName:"cpu",kernelFunc:a9};function l9(r){let{inputs:t,backend:e,attrs:n}=r,{shape:o,values:s,defaultValue:i,rowPartitionTensors:a}=t,{rowPartitionTypes:u}=n,l=e.data.get(o.dataId).values,c=e.data.get(s.dataId).values,p=e.data.get(i.dataId).values,m=a.map(g=>e.data.get(g.dataId).values),f=a.map(g=>g.shape),[d,h]=sw(l,o.shape,c,s.shape,s.dtype,p,i.shape,m,f,u);return e.makeTensorInfo(d,s.dtype,h)}var aP={kernelName:Dp,backendName:"cpu",kernelFunc:l9};function u9(r){let{backend:t,attrs:e}=r,{start:n,stop:o,dtype:s,step:i}=e,a=Ac(n,o,i,s);return t.makeTensorInfo([a.length],s,a)}var lP={kernelName:Ol,backendName:"cpu",kernelFunc:u9};var c9=kt(Pa,r=>1/r),uP={kernelName:Pa,backendName:"cpu",kernelFunc:c9};function p9(r){let{inputs:t,backend:e,attrs:n}=r,{images:o}=t,{alignCorners:s,halfPixelCenters:i,size:a}=n;tt(o,"resizeBilinear");let u=y.computeStrides(o.shape),[l,c]=a,[p,m,f,d]=o.shape,h=e.data.get(o.dataId).values,g=new Float32Array(y.sizeFromShape([p,l,c,d])),x=[s&&l>1?m-1:m,s&&c>1?f-1:f],b=[s&&l>1?l-1:l,s&&c>1?c-1:c],w=0,C=x[0]/b[0],N=x[1]/b[1];for(let _=0;_1?l-1:l,i&&f>1?c-1:c],g=[i&&m>1?m-1:m,i&&f>1?f-1:f],x=h[0]/g[0],b=h[1]/g[1],w=e.data.get(s.dataId).values,C=0;for(let N=0;N1?m-1:m,s&&c>1?f-1:f],b=[s&&l>1?l-1:l,s&&c>1?c-1:c],w=x[0]/b[0],C=x[1]/b[1],N=0;for(let _=0;_1?c-1:c,i&&d>1?p-1:p],b=[i&&f>1?f-1:f,i&&d>1?d-1:d],w=x[0]/b[0],C=x[1]/b[1],N=1/w,_=1/C,A=Math.ceil(N)*2+2,$=Math.ceil(_)*2+2;for(let F=0;F=f)continue;let nt=P+at*u[1],it=at*w,dt=Math.min(c-1,i?Math.round(it):Math.floor(it));if(V===dt)for(let ht=0;ht<$;ht++){let bt=ht+Z;if(bt<0||bt>=d)continue;let Et=nt+bt*u[2],At=bt*C,Vt=Math.min(p-1,i?Math.round(At):Math.floor(At));H===Vt&&(rt+=g[Et+et])}}h[j+et]=rt}}}}return e.makeTensorInfo(o.shape,o.dtype,h)}var fP={kernelName:Fp,backendName:"cpu",kernelFunc:d9};function h9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dims:s}=n;tt(o,"reverse");let i=o.shape.length,a=y.parseAxisParam(s,o.shape);if(i===0)return Kr({inputs:{x:o},backend:e});let u=new pe(o.shape,o.dtype),l=e.bufferSync(o);for(let c=0;cm[f]=o.shape[f]-1-m[f]),u.set(l.get(...m),...p)}return e.makeTensorInfo(u.shape,u.dtype,u.values)}var dP={kernelName:Ns,backendName:"cpu",kernelFunc:h9};var hP={kernelName:qa,backendName:"cpu",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{image:n}=r,{radians:o,fillValue:s,center:i}=t,a=e,u=y.getTypedArrayFromDType(n.dtype,y.sizeFromShape(n.shape)),[l,c,p,m]=n.shape,[f,d]=v.getImageCenter(i,c,p),h=255,g=Math.sin(o),x=Math.cos(o),b=a.data.get(n.dataId).values;for(let C=0;C=0&&q=0&&H{let t=Math.floor(r);return r-t<.5?Math.floor(r):r-t>.5?Math.ceil(r):t%2===0?t:t+1}),gP={kernelName:Ts,backendName:"cpu",kernelFunc:g9};function x9(r){let{inputs:t,backend:e,attrs:n}=r,{indices:o,updates:s}=t,{shape:i}=n,{sliceRank:a,numUpdates:u,sliceSize:l,strides:c,outputSize:p}=v.calculateShapes(s,o,i),m=!0,f=e.bufferSync(o),d=e.bufferSync(s),h=dl(f,d,i,p,l,u,a,c,0,m);return e.makeTensorInfo(i,h.dtype,h.values)}var xP={kernelName:La,backendName:"cpu",kernelFunc:x9};function y9(r,t){let e=0,n=r.length,o=0;for(;e1||o.shape.length===1?1:y.sizeFromShape(o.shape.slice(1));for(let d=0;dr>=0?S9*r:I9*(Math.exp(r)-1)),CP={kernelName:Ma,backendName:"cpu",kernelFunc:v9};var N9=kt(Ba,r=>r<0?-1:r>0?1:0),IP={kernelName:Ba,backendName:"cpu",kernelFunc:N9};var T9=kt(Es,r=>Math.sin(r)),SP={kernelName:Es,backendName:"cpu",kernelFunc:T9};var k9=kt(za,r=>Math.sinh(r)),vP={kernelName:za,backendName:"cpu",kernelFunc:k9};var E9=11920928955078125e-23,NP=Math.log(E9)+2,_9=kt(Va,r=>{let t=r>-NP,e=rNumber(g)))),e.makeTensorInfo([h.length],n.dtype,new Int32Array(h))]}var bP={kernelName:Fl,backendName:"cpu",kernelFunc:h9};function g9(r){let{inputs:t,backend:e}=r,{inputIndices:n,inputShape:o,newShape:s}=t;if(n.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape + ${i.shape}`);let a=e.data.get(n.dataId).values,u=e.data.get(o.dataId).values,l=e.data.get(s.dataId).values,c=e.data.get(i.dataId).values[0],[p,m,f,d,h]=iw(a,n.shape,n.dtype,u,o.dtype,l,c);return[e.makeTensorInfo(m,n.dtype,p),e.makeTensorInfo([m[0]],o.dtype,f),e.makeTensorInfo([d.length],"bool",new Uint8Array(d.map(g=>Number(g)))),e.makeTensorInfo([h.length],n.dtype,new Int32Array(h))]}var EP={kernelName:Pl,backendName:"cpu",kernelFunc:$9};function D9(r){let{inputs:t,backend:e}=r,{inputIndices:n,inputShape:o,newShape:s}=t;if(n.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape ${n.shape}`);if(o.shape.length!==1)throw new Error(`Input shape should be a vector but received shape - ${o.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=Array.from(e.data.get(o.dataId).values),a=e.data.get(n.dataId).values,u=Array.from(e.data.get(s.dataId).values),[l,c,p]=ew(a,n.shape,n.dtype,i,u);return[e.makeTensorInfo(c,n.dtype,l),e.makeTensorInfo([p.length],s.dtype,new Int32Array(p))]}var wP={kernelName:Ba,backendName:"cpu",kernelFunc:g9};function x9(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape + ${o.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=Array.from(e.data.get(o.dataId).values),a=e.data.get(n.dataId).values,u=Array.from(e.data.get(s.dataId).values),[l,c,p]=aw(a,n.shape,n.dtype,i,u);return[e.makeTensorInfo(c,n.dtype,l),e.makeTensorInfo([p.length],s.dtype,new Int32Array(p))]}var _P={kernelName:Ga,backendName:"cpu",kernelFunc:D9};function R9(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape ${o.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape - ${s.shape}`);if(o.shape[0]!==s.shape[0])throw new Error("segmentIds and indices should have same size.");let i=e.data.get(n.dataId).values,a=e.data.get(o.dataId).values,u=e.data.get(s.dataId).values,[l,c]=sd(i,n.shape,n.dtype,a,u,!0);return e.makeTensorInfo(c,n.dtype,l)}var CP={kernelName:Ol,backendName:"cpu",kernelFunc:x9};function y9(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape + ${s.shape}`);if(o.shape[0]!==s.shape[0])throw new Error("segmentIds and indices should have same size.");let i=e.data.get(n.dataId).values,a=e.data.get(o.dataId).values,u=e.data.get(s.dataId).values,[l,c]=ld(i,n.shape,n.dtype,a,u,!0);return e.makeTensorInfo(c,n.dtype,l)}var AP={kernelName:Ll,backendName:"cpu",kernelFunc:R9};function F9(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape ${o.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape - ${s.shape}`);if(o.shape[0]!==s.shape[0])throw new Error("segmentIds and indices should have same size.");let i=e.data.get(n.dataId).values,a=e.data.get(o.dataId).values,u=e.data.get(s.dataId).values,[l,c]=sd(i,n.shape,n.dtype,a,u);return e.makeTensorInfo(c,n.dtype,l)}var IP={kernelName:Pl,backendName:"cpu",kernelFunc:y9};function b9(r){let{inputs:t,backend:e,attrs:n}=r,{sparseIndices:o,sparseValues:s,defaultValue:i}=t,{outputShape:a}=n,{sliceRank:u,numUpdates:l,sliceSize:c,strides:p,outputSize:m}=S.calculateShapes(s,o,a),f=!1,d=e.bufferSync(o),h;switch(s.dtype){case"bool":{let g=e.bufferSync(s),x=Boolean(e.data.get(i.dataId).values[0]);h=ml(d,g,a,m,c,l,u,p,x,f);break}case"float32":{let g=e.bufferSync(s),x=e.data.get(i.dataId).values[0];h=ml(d,g,a,m,c,l,u,p,x,f);break}case"int32":{let g=e.bufferSync(s),x=e.data.get(i.dataId).values[0];h=ml(d,g,a,m,c,l,u,p,x,f);break}case"string":{let g=e.bufferSync(s),x=y.decodeString(e.data.get(i.dataId).values[0]);h=ml(d,g,a,m,c,l,u,p,x,f);break}default:throw new Error(`Unsupported type ${s.dtype}`)}return e.makeTensorInfo(a,h.dtype,h.values)}var vP={kernelName:Pp,backendName:"cpu",kernelFunc:b9};function w9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{numOrSizeSplits:s,axis:i}=n,a=y.parseAxisParam(i,o.shape)[0],u=S.prepareSplitSize(o,s,a),l=new Array(o.shape.length).fill(0),c=o.shape.slice();return u.map(p=>{let m=[...c];m[a]=p;let f=Ro({inputs:{x:o},backend:e,attrs:{begin:l,size:m}});return l[a]+=p,f})}var SP={kernelName:gi,backendName:"cpu",kernelFunc:w9};var NP={kernelName:Ll,backendName:"cpu",kernelFunc:({inputs:r,backend:t})=>{let{x:e}=r,n=t;tt(e,"square");let o=n.data.get(e.dataId).values,s=new Float32Array(o.length);for(let a=0;a{let e=t;return isNaN(r)?NaN:r>0?1:e.alpha}),kP={kernelName:uo,backendName:"cpu",kernelFunc:C9};function I9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,end:i,strides:a,beginMask:u,endMask:l,ellipsisMask:c,newAxisMask:p,shrinkAxisMask:m}=n;tt(o,"stridedSlice");let{finalShapeSparse:f,finalShape:d,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:w,strides:C}=Pe.sliceInfo(o.shape,s,i,a,u,l,c,p,m),N;if(h)N=Xt({inputs:{x:o},backend:e,attrs:{shape:d}});else if(g||x){y.assert(o.shape.length>=1,()=>`Input must have rank at least 1, got: ${o.shape.length}`);let _=Pe.computeOutShape(b,w,C),A=Ro({inputs:{x:o},backend:e,attrs:{begin:b,size:_}});N=Xt({inputs:{x:A},backend:e,attrs:{shape:d}}),e.disposeIntermediateTensorInfo(A)}else{let _=e.bufferSync(o),A=rw(f,_,C,b);N=e.makeTensorInfo(d,A.dtype,A.values)}return N}var TP={kernelName:Va,backendName:"cpu",kernelFunc:I9};function v9(r){let{inputs:t,backend:e,attrs:n}=r,{separator:o,nGramWidths:s,leftPad:i,rightPad:a,padWidth:u,preserveShortSequences:l}=n,{data:c,dataSplits:p}=t,m=e.data.get(c.dataId).values,f=e.data.get(p.dataId).values,[d,h]=Dc(m,f,o,s,i,a,u,l);return[e.makeTensorInfo([d.length],"string",d),e.makeTensorInfo(p.shape,"int32",h)]}var EP={kernelName:Ml,backendName:"cpu",kernelFunc:v9};function S9(r){let{inputs:t,backend:e,attrs:n}=r,{skipEmpty:o}=n,{input:s,delimiter:i}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(i.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${i.shape}`);let a=e.data.get(s.dataId).values,u=e.data.get(i.dataId).values[0],[l,c,p]=Rc(a,u,o),m=c.length;return[e.makeTensorInfo([m,2],"int32",l),e.makeTensorInfo([m],"string",c),e.makeTensorInfo([2],"int32",new Int32Array(p))]}var _P={kernelName:zl,backendName:"cpu",kernelFunc:S9};function N9(r){let{inputs:t,backend:e,attrs:n}=r,{numBuckets:o}=n,{input:s}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(o<=0)throw new Error("Number of buckets must be at least 1");let i=e.data.get(s.dataId).values,a=Fc(i,o);return e.makeTensorInfo(s.shape,"int32",a)}var AP={kernelName:Bl,backendName:"cpu",kernelFunc:N9};var k9=kt(Fs,r=>Math.tan(r)),$P={kernelName:Fs,backendName:"cpu",kernelFunc:k9};var T9=kt(Os,r=>Math.tanh(r)),DP={kernelName:Os,backendName:"cpu",kernelFunc:T9};function E9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{reps:s}=n;tt(o,"tile");let i=nw(e.bufferSync(o),s);return e.makeTensorInfo(i.shape,i.dtype,i.values)}var RP={kernelName:Zn,backendName:"cpu",kernelFunc:E9};function _9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{k:s,sorted:i}=n;tt(o,"topk");let a=e.data.get(o.dataId).values,[u,l]=ow(a,o.shape,o.dtype,s,i);return[e.makeTensorInfo(u.shape,u.dtype,u.values),e.makeTensorInfo(l.shape,l.dtype,l.values)]}var FP={kernelName:Ga,backendName:"cpu",kernelFunc:_9};function A9(r){let{inputs:t,attrs:e,backend:n}=r,{image:o,transforms:s}=t,{interpolation:i,fillMode:a,fillValue:u,outputShape:l}=e,[c,p,m,f]=o.shape,[d,h]=l!=null?l:[p,m],g=[c,d,h,f],x=y.computeStrides(o.shape),b=x[0],w=x[1],C=x[2],N=y.computeStrides(g),_=N[0],A=N[1],$=N[2],F=y.getTypedArrayFromDType(o.dtype,y.sizeFromShape(g));F.fill(u);let P=n.data.get(o.dataId).values,V=n.data.get(s.dataId).values;for(let W=0;Wt-1)if(t<=1)e=0;else{let n=2*t;e-=n*Math.trunc(e/n),e>=t&&(e=n-e-1)}return y.clamp(0,e,t-1)}function D9(r,t){let e=r;if(e<0)if(t<=1)e=0;else{let n=t-1;e+=t*(Math.trunc(-e/n)+1)}else if(e>t-1)if(t<=1)e=0;else{let n=t-1;e-=t*Math.trunc(e/n)}return y.clamp(0,e,t-1)}function R9(r,t){return r}function F9(r,t){return y.clamp(0,r,t-1)}function Gh(r,t,e,n,o,s,i,a,u,l,c){let p=i*n+a*o+u*s+l;return 0<=a&&ae.disposeIntermediateTensorInfo(d)),f}var zP={kernelName:Vl,backendName:"cpu",kernelFunc:z9};var B9=[mF,SR,fF,dF,_R,hF,gF,xF,yF,bF,wF,CF,IF,vF,SF,kF,TF,EF,_F,pF,AF,$F,DF,RF,ER,AR,FF,NR,OF,LF,MF,zF,BF,VF,GF,WF,UF,HF,qF,KF,jF,XF,YF,ZF,JF,QF,tO,eO,rO,nO,sO,sF,iO,$R,aO,DR,lO,RR,uO,cO,pO,FR,mO,fO,dO,hO,gO,OR,PR,kR,xO,PF,yO,bO,wO,iF,LR,MR,CO,zR,IO,vO,SO,NO,kO,TO,EO,BR,_O,AO,$O,DO,FO,OO,PO,VR,LO,MO,VO,GR,WR,GO,WO,UO,UR,HO,jO,XO,cw,YO,aF,qR,ZO,JO,QO,TR,zh,tP,lF,uF,cF,eP,rP,nP,oP,sP,iP,aP,YR,lP,cP,pP,mP,JR,fP,dP,hP,QR,zO,xP,yP,bP,wP,CP,IP,vP,SP,eF,NP,rF,kP,TP,EP,_P,AP,nF,oO,$P,DP,RP,FP,PP,HR,LP,MP,zP,qO];for(let r of B9)Pu(r);var cd={};Gt(cd,{assertNotComplex:()=>Zs,bindCanvasToFramebuffer:()=>X9,bindColorTextureToFramebuffer:()=>qh,bindTextureToProgramUniformSampler:()=>Ak,bindTextureUnit:()=>WP,bindVertexBufferToProgramAttribute:()=>gw,callAndCheck:()=>yt,canBeRepresented:()=>yk,createFragmentShader:()=>wk,createFramebuffer:()=>Tk,createProgram:()=>Ck,createStaticIndexBuffer:()=>Sk,createStaticVertexBuffer:()=>vk,createTexture:()=>Nk,createVertexShader:()=>bk,getBatchDim:()=>hl,getExtensionOrThrow:()=>ld,getFramebufferErrorMessage:()=>UP,getMaxTexturesInShader:()=>Rk,getNumChannels:()=>K9,getProgramUniformLocation:()=>_k,getProgramUniformLocationOrThrow:()=>Ek,getRowsCols:()=>gl,getShapeAs3D:()=>Kh,getTextureShapeFromLogicalShape:()=>$k,getWebGLDisjointQueryTimerVersion:()=>Fk,getWebGLErrorMessage:()=>GP,getWebGLMaxTextureSize:()=>Dk,hasExtension:()=>Vn,isCapableOfRenderingToFloatTexture:()=>Ok,isDownloadFloatTextureEnabled:()=>Pk,isReshapeFree:()=>Tu,isWebGLFenceEnabled:()=>Lk,isWebGLVersionEnabled:()=>yw,linkProgram:()=>Ik,logShaderSourceAndInfoLog:()=>hw,resetMaxTextureSize:()=>Y9,resetMaxTexturesInShader:()=>Z9,unbindColorTextureFromFramebuffer:()=>xw,unbindTextureUnit:()=>j9,validateFramebuffer:()=>ud,validateProgram:()=>Hh,validateTextureSize:()=>kk});var Pc={},pw={alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0};function hk(r,t){Pc[r]=t}function Bn(r,t){if(!(r in Pc)||t!=null){let n=G9(r,t);if(n!==null)Pc[r]=n;else return console.log("Could not get context for WebGL version",r),null}let e=Pc[r];return e==null||e.isContextLost()?(delete Pc[r],Bn(r)):(e.disable(e.DEPTH_TEST),e.disable(e.STENCIL_TEST),e.disable(e.BLEND),e.disable(e.DITHER),e.disable(e.POLYGON_OFFSET_FILL),e.disable(e.SAMPLE_COVERAGE),e.enable(e.SCISSOR_TEST),e.enable(e.CULL_FACE),e.cullFace(e.BACK),Pc[r])}function V9(r){if(typeof OffscreenCanvas!="undefined"&&r===2)return new OffscreenCanvas(300,150);if(typeof document!="undefined")return document.createElement("canvas");throw new Error("Cannot create a canvas in this context")}function G9(r,t){if(r!==1&&r!==2)throw new Error("Cannot get WebGL rendering context, WebGL is disabled.");let e=t==null?V9(r):t;return e.addEventListener("webglcontextlost",n=>{n.preventDefault(),delete Pc[r]},!1),M().getBool("SOFTWARE_WEBGL_ENABLED")&&(pw.failIfMajorPerformanceCaveat=!1),r===1?e.getContext("webgl",pw)||e.getContext("experimental-webgl",pw):e.getContext("webgl2",pw)}var ku;(function(r){r[r.DENSE=0]="DENSE",r[r.SHARED_BATCH=1]="SHARED_BATCH"})(ku||(ku={}));var Kr;(function(r){r[r.RENDER=0]="RENDER",r[r.UPLOAD=1]="UPLOAD",r[r.PIXELS=2]="PIXELS",r[r.DOWNLOAD=3]="DOWNLOAD"})(Kr||(Kr={}));var Fr;(function(r){r[r.UNPACKED_FLOAT16=0]="UNPACKED_FLOAT16",r[r.UNPACKED_FLOAT32=1]="UNPACKED_FLOAT32",r[r.PACKED_4X1_UNSIGNED_BYTE=2]="PACKED_4X1_UNSIGNED_BYTE",r[r.PACKED_2X2_FLOAT32=3]="PACKED_2X2_FLOAT32",r[r.PACKED_2X2_FLOAT16=4]="PACKED_2X2_FLOAT16"})(Fr||(Fr={}));function Lc(r,t){return[t,r]}function BP(r,t){return r*t}function Wh(r){let t=y.sizeFromShape(r),e=Math.ceil(t/4);return y.sizeToSquarishShape(e)}function Ki(r,t){return[Math.max(1,Math.ceil(t/2)),Math.max(1,Math.ceil(r/2))]}function VP(r,t){let[e,n]=Ki(r,t);return e*n*4}function Uh(r,t){let e=r,n,o,s,i,a,u,l,c,p,m;return M().getNumber("WEBGL_VERSION")===2?(n=e.R32F,o=e.R16F,s=e.RGBA16F,i=e.RGBA32F,a=e.RED,l=4,c=1,p=e.HALF_FLOAT,m=e.FLOAT,u=e.RGBA8):(n=r.RGBA,o=r.RGBA,s=r.RGBA,i=e.RGBA,a=r.RGBA,l=4,c=4,p=t!=null?t.HALF_FLOAT_OES:null,m=r.FLOAT,u=r.RGBA),{internalFormatFloat:n,internalFormatHalfFloat:o,internalFormatPackedHalfFloat:s,internalFormatPackedFloat:i,textureFormatFloat:a,downloadTextureFormat:u,downloadUnpackNumChannels:l,defaultNumChannels:c,textureTypeHalfFloat:p,textureTypeFloat:m}}function yt(r,t){let e=t();return M().getBool("DEBUG")&&W9(r),e}function W9(r){let t=r.getError();if(t!==r.NO_ERROR)throw new Error("WebGL Error: "+GP(r,t))}var U9=596e-10,H9=65504;function yk(r){return!!(M().getBool("WEBGL_RENDER_FLOAT32_ENABLED")||r===0||U9r.getExtension(t),'Extension "'+t+'" not supported on this browser.')}function bk(r,t){let e=dl(r,()=>r.createShader(r.VERTEX_SHADER),"Unable to create vertex WebGLShader.");if(yt(r,()=>r.shaderSource(e,t)),yt(r,()=>r.compileShader(e)),r.getShaderParameter(e,r.COMPILE_STATUS)===!1)throw console.log(r.getShaderInfoLog(e)),new Error("Failed to compile vertex shader.");return e}function wk(r,t){let e=dl(r,()=>r.createShader(r.FRAGMENT_SHADER),"Unable to create fragment WebGLShader.");if(yt(r,()=>r.shaderSource(e,t)),yt(r,()=>r.compileShader(e)),M().get("ENGINE_COMPILE_ONLY"))return e;if(r.getShaderParameter(e,r.COMPILE_STATUS)===!1)throw hw(t,r.getShaderInfoLog(e)),new Error("Failed to compile fragment shader.");return e}var q9=/ERROR: [0-9]+:([0-9]+):/g;function hw(r,t){let e=q9.exec(t);if(e==null){console.log(`Couldn't parse line number in error: ${t}`),console.log(r);return}let n=+e[1],o=r.split(` + ${s.shape}`);if(o.shape[0]!==s.shape[0])throw new Error("segmentIds and indices should have same size.");let i=e.data.get(n.dataId).values,a=e.data.get(o.dataId).values,u=e.data.get(s.dataId).values,[l,c]=ld(i,n.shape,n.dtype,a,u);return e.makeTensorInfo(c,n.dtype,l)}var $P={kernelName:Ml,backendName:"cpu",kernelFunc:F9};function O9(r){let{inputs:t,backend:e,attrs:n}=r,{sparseIndices:o,sparseValues:s,defaultValue:i}=t,{outputShape:a}=n,{sliceRank:u,numUpdates:l,sliceSize:c,strides:p,outputSize:m}=v.calculateShapes(s,o,a),f=!1,d=e.bufferSync(o),h;switch(s.dtype){case"bool":{let g=e.bufferSync(s),x=Boolean(e.data.get(i.dataId).values[0]);h=dl(d,g,a,m,c,l,u,p,x,f);break}case"float32":{let g=e.bufferSync(s),x=e.data.get(i.dataId).values[0];h=dl(d,g,a,m,c,l,u,p,x,f);break}case"int32":{let g=e.bufferSync(s),x=e.data.get(i.dataId).values[0];h=dl(d,g,a,m,c,l,u,p,x,f);break}case"string":{let g=e.bufferSync(s),x=y.decodeString(e.data.get(i.dataId).values[0]);h=dl(d,g,a,m,c,l,u,p,x,f);break}default:throw new Error(`Unsupported type ${s.dtype}`)}return e.makeTensorInfo(a,h.dtype,h.values)}var DP={kernelName:Lp,backendName:"cpu",kernelFunc:O9};function P9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{numOrSizeSplits:s,axis:i}=n,a=y.parseAxisParam(i,o.shape)[0],u=v.prepareSplitSize(o,s,a),l=new Array(o.shape.length).fill(0),c=o.shape.slice();return u.map(p=>{let m=[...c];m[a]=p;let f=Fo({inputs:{x:o},backend:e,attrs:{begin:l,size:m}});return l[a]+=p,f})}var RP={kernelName:yi,backendName:"cpu",kernelFunc:P9};var FP={kernelName:zl,backendName:"cpu",kernelFunc:({inputs:r,backend:t})=>{let{x:e}=r,n=t;tt(e,"square");let o=n.data.get(e.dataId).values,s=new Float32Array(o.length);for(let a=0;a{let e=t;return isNaN(r)?NaN:r>0?1:e.alpha}),OP={kernelName:po,backendName:"cpu",kernelFunc:L9};function M9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,end:i,strides:a,beginMask:u,endMask:l,ellipsisMask:c,newAxisMask:p,shrinkAxisMask:m}=n;tt(o,"stridedSlice");let{finalShapeSparse:f,finalShape:d,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:w,strides:C}=Le.sliceInfo(o.shape,s,i,a,u,l,c,p,m),N;if(h)N=Yt({inputs:{x:o},backend:e,attrs:{shape:d}});else if(g||x){y.assert(o.shape.length>=1,()=>`Input must have rank at least 1, got: ${o.shape.length}`);let _=Le.computeOutShape(b,w,C),A=Fo({inputs:{x:o},backend:e,attrs:{begin:b,size:_}});N=Yt({inputs:{x:A},backend:e,attrs:{shape:d}}),e.disposeIntermediateTensorInfo(A)}else{let _=e.bufferSync(o),A=lw(f,_,C,b);N=e.makeTensorInfo(d,A.dtype,A.values)}return N}var PP={kernelName:Wa,backendName:"cpu",kernelFunc:M9};function z9(r){let{inputs:t,backend:e,attrs:n}=r,{separator:o,nGramWidths:s,leftPad:i,rightPad:a,padWidth:u,preserveShortSequences:l}=n,{data:c,dataSplits:p}=t,m=e.data.get(c.dataId).values,f=e.data.get(p.dataId).values,[d,h]=Dc(m,f,o,s,i,a,u,l);return[e.makeTensorInfo([d.length],"string",d),e.makeTensorInfo(p.shape,"int32",h)]}var LP={kernelName:Bl,backendName:"cpu",kernelFunc:z9};function B9(r){let{inputs:t,backend:e,attrs:n}=r,{skipEmpty:o}=n,{input:s,delimiter:i}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(i.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${i.shape}`);let a=e.data.get(s.dataId).values,u=e.data.get(i.dataId).values[0],[l,c,p]=Rc(a,u,o),m=c.length;return[e.makeTensorInfo([m,2],"int32",l),e.makeTensorInfo([m],"string",c),e.makeTensorInfo([2],"int32",new Int32Array(p))]}var MP={kernelName:Vl,backendName:"cpu",kernelFunc:B9};function V9(r){let{inputs:t,backend:e,attrs:n}=r,{numBuckets:o}=n,{input:s}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(o<=0)throw new Error("Number of buckets must be at least 1");let i=e.data.get(s.dataId).values,a=Fc(i,o);return e.makeTensorInfo(s.shape,"int32",a)}var zP={kernelName:Gl,backendName:"cpu",kernelFunc:V9};var G9=kt(Os,r=>Math.tan(r)),BP={kernelName:Os,backendName:"cpu",kernelFunc:G9};var W9=kt(Ps,r=>Math.tanh(r)),VP={kernelName:Ps,backendName:"cpu",kernelFunc:W9};function U9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{reps:s}=n;tt(o,"tile");let i=uw(e.bufferSync(o),s);return e.makeTensorInfo(i.shape,i.dtype,i.values)}var GP={kernelName:Jn,backendName:"cpu",kernelFunc:U9};function H9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{k:s,sorted:i}=n;tt(o,"topk");let a=e.data.get(o.dataId).values,[u,l]=cw(a,o.shape,o.dtype,s,i);return[e.makeTensorInfo(u.shape,u.dtype,u.values),e.makeTensorInfo(l.shape,l.dtype,l.values)]}var WP={kernelName:Ua,backendName:"cpu",kernelFunc:H9};function q9(r){let{inputs:t,attrs:e,backend:n}=r,{image:o,transforms:s}=t,{interpolation:i,fillMode:a,fillValue:u,outputShape:l}=e,[c,p,m,f]=o.shape,[d,h]=l!=null?l:[p,m],g=[c,d,h,f],x=y.computeStrides(o.shape),b=x[0],w=x[1],C=x[2],N=y.computeStrides(g),_=N[0],A=N[1],$=N[2],F=y.getTypedArrayFromDType(o.dtype,y.sizeFromShape(g));F.fill(u);let P=n.data.get(o.dataId).values,V=n.data.get(s.dataId).values;for(let W=0;Wt-1)if(t<=1)e=0;else{let n=2*t;e-=n*Math.trunc(e/n),e>=t&&(e=n-e-1)}return y.clamp(0,e,t-1)}function j9(r,t){let e=r;if(e<0)if(t<=1)e=0;else{let n=t-1;e+=t*(Math.trunc(-e/n)+1)}else if(e>t-1)if(t<=1)e=0;else{let n=t-1;e-=t*Math.trunc(e/n)}return y.clamp(0,e,t-1)}function X9(r,t){return r}function Y9(r,t){return y.clamp(0,r,t-1)}function Kh(r,t,e,n,o,s,i,a,u,l,c){let p=i*n+a*o+u*s+l;return 0<=a&&ae.disposeIntermediateTensorInfo(d)),f}var jP={kernelName:Wl,backendName:"cpu",kernelFunc:ett};var rtt=[wF,$R,CF,IF,PR,SF,vF,NF,TF,kF,EF,_F,AF,$F,DF,FF,OF,PF,LF,bF,MF,zF,BF,VF,OR,LR,GF,DR,WF,HF,qF,KF,jF,XF,YF,ZF,JF,QF,tO,eO,rO,nO,oO,sO,iO,aO,lO,uO,cO,pO,fO,fF,dO,MR,hO,zR,gO,BR,xO,yO,bO,VR,wO,CO,IO,SO,vO,GR,WR,RR,NO,UF,TO,kO,EO,dF,UR,HR,_O,qR,AO,$O,DO,RO,FO,OO,PO,KR,LO,MO,zO,BO,GO,WO,UO,jR,HO,qO,XO,XR,YR,YO,ZO,JO,ZR,QO,rP,nP,gw,oP,hF,QR,sP,iP,aP,lP,FR,Uh,uP,gF,xF,yF,cP,pP,mP,fP,dP,hP,gP,oF,xP,bP,wP,CP,iF,IP,SP,vP,aF,KO,TP,kP,EP,_P,AP,$P,DP,RP,uF,FP,cF,OP,PP,LP,MP,zP,pF,mO,BP,VP,GP,WP,HP,JR,qP,KP,jP,tP];for(let r of rtt)Lu(r);var dd={};Wt(dd,{assertNotComplex:()=>Qs,bindCanvasToFramebuffer:()=>ptt,bindColorTextureToFramebuffer:()=>Zh,bindTextureToProgramUniformSampler:()=>OT,bindTextureUnit:()=>JP,bindVertexBufferToProgramAttribute:()=>Iw,callAndCheck:()=>yt,canBeRepresented:()=>ST,createFragmentShader:()=>NT,createFramebuffer:()=>DT,createProgram:()=>TT,createStaticIndexBuffer:()=>_T,createStaticVertexBuffer:()=>ET,createTexture:()=>AT,createVertexShader:()=>vT,getBatchDim:()=>xl,getExtensionOrThrow:()=>pd,getFramebufferErrorMessage:()=>QP,getMaxTexturesInShader:()=>MT,getNumChannels:()=>utt,getProgramUniformLocation:()=>FT,getProgramUniformLocationOrThrow:()=>RT,getRowsCols:()=>yl,getShapeAs3D:()=>fd,getTextureShapeFromLogicalShape:()=>PT,getWebGLDisjointQueryTimerVersion:()=>zT,getWebGLErrorMessage:()=>ZP,getWebGLMaxTextureSize:()=>LT,hasExtension:()=>Wn,isCapableOfRenderingToFloatTexture:()=>BT,isDownloadFloatTextureEnabled:()=>VT,isReshapeFree:()=>Eu,isWebGLFenceEnabled:()=>GT,isWebGLVersionEnabled:()=>vw,linkProgram:()=>kT,logShaderSourceAndInfoLog:()=>Cw,resetMaxTextureSize:()=>mtt,resetMaxTexturesInShader:()=>ftt,unbindColorTextureFromFramebuffer:()=>Sw,unbindTextureUnit:()=>ctt,validateFramebuffer:()=>md,validateProgram:()=>Yh,validateTextureSize:()=>$T});var Pc={},xw={alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0};function wT(r,t){Pc[r]=t}function Gn(r,t){if(!(r in Pc)||t!=null){let n=ott(r,t);if(n!==null)Pc[r]=n;else return console.log("Could not get context for WebGL version",r),null}let e=Pc[r];return e==null||e.isContextLost()?(delete Pc[r],Gn(r)):(e.disable(e.DEPTH_TEST),e.disable(e.STENCIL_TEST),e.disable(e.BLEND),e.disable(e.DITHER),e.disable(e.POLYGON_OFFSET_FILL),e.disable(e.SAMPLE_COVERAGE),e.enable(e.SCISSOR_TEST),e.enable(e.CULL_FACE),e.cullFace(e.BACK),Pc[r])}function ntt(r){if(typeof OffscreenCanvas!="undefined"&&r===2)return new OffscreenCanvas(300,150);if(typeof document!="undefined")return document.createElement("canvas");throw new Error("Cannot create a canvas in this context")}function ott(r,t){if(r!==1&&r!==2)throw new Error("Cannot get WebGL rendering context, WebGL is disabled.");let e=t==null?ntt(r):t;return e.addEventListener("webglcontextlost",n=>{n.preventDefault(),delete Pc[r]},!1),z().getBool("SOFTWARE_WEBGL_ENABLED")&&(xw.failIfMajorPerformanceCaveat=!1),r===1?e.getContext("webgl",xw)||e.getContext("experimental-webgl",xw):e.getContext("webgl2",xw)}var ku;(function(r){r[r.DENSE=0]="DENSE",r[r.SHARED_BATCH=1]="SHARED_BATCH"})(ku||(ku={}));var jr;(function(r){r[r.RENDER=0]="RENDER",r[r.UPLOAD=1]="UPLOAD",r[r.PIXELS=2]="PIXELS",r[r.DOWNLOAD=3]="DOWNLOAD"})(jr||(jr={}));var Pr;(function(r){r[r.UNPACKED_FLOAT16=0]="UNPACKED_FLOAT16",r[r.UNPACKED_FLOAT32=1]="UNPACKED_FLOAT32",r[r.PACKED_4X1_UNSIGNED_BYTE=2]="PACKED_4X1_UNSIGNED_BYTE",r[r.PACKED_2X2_FLOAT32=3]="PACKED_2X2_FLOAT32",r[r.PACKED_2X2_FLOAT16=4]="PACKED_2X2_FLOAT16"})(Pr||(Pr={}));function Lc(r,t){return[t,r]}function XP(r,t){return r*t}function jh(r){let t=y.sizeFromShape(r),e=Math.ceil(t/4);return y.sizeToSquarishShape(e)}function Xi(r,t){return[Math.max(1,Math.ceil(t/2)),Math.max(1,Math.ceil(r/2))]}function YP(r,t){let[e,n]=Xi(r,t);return e*n*4}function Xh(r,t){let e=r,n,o,s,i,a,u,l,c,p,m;return z().getNumber("WEBGL_VERSION")===2?(n=e.R32F,o=e.R16F,s=e.RGBA16F,i=e.RGBA32F,a=e.RED,l=4,c=1,p=e.HALF_FLOAT,m=e.FLOAT,u=e.RGBA8):(n=r.RGBA,o=r.RGBA,s=r.RGBA,i=e.RGBA,a=r.RGBA,l=4,c=4,p=t!=null?t.HALF_FLOAT_OES:null,m=r.FLOAT,u=r.RGBA),{internalFormatFloat:n,internalFormatHalfFloat:o,internalFormatPackedHalfFloat:s,internalFormatPackedFloat:i,textureFormatFloat:a,downloadTextureFormat:u,downloadUnpackNumChannels:l,defaultNumChannels:c,textureTypeHalfFloat:p,textureTypeFloat:m}}function yt(r,t){let e=t();return z().getBool("DEBUG")&&stt(r),e}function stt(r){let t=r.getError();if(t!==r.NO_ERROR)throw new Error("WebGL Error: "+ZP(r,t))}var itt=596e-10,att=65504;function ST(r){return!!(z().getBool("WEBGL_RENDER_FLOAT32_ENABLED")||r===0||ittr.getExtension(t),'Extension "'+t+'" not supported on this browser.')}function vT(r,t){let e=gl(r,()=>r.createShader(r.VERTEX_SHADER),"Unable to create vertex WebGLShader.");if(yt(r,()=>r.shaderSource(e,t)),yt(r,()=>r.compileShader(e)),r.getShaderParameter(e,r.COMPILE_STATUS)===!1)throw console.log(r.getShaderInfoLog(e)),new Error("Failed to compile vertex shader.");return e}function NT(r,t){let e=gl(r,()=>r.createShader(r.FRAGMENT_SHADER),"Unable to create fragment WebGLShader.");if(yt(r,()=>r.shaderSource(e,t)),yt(r,()=>r.compileShader(e)),z().get("ENGINE_COMPILE_ONLY"))return e;if(r.getShaderParameter(e,r.COMPILE_STATUS)===!1)throw Cw(t,r.getShaderInfoLog(e)),new Error("Failed to compile fragment shader.");return e}var ltt=/ERROR: [0-9]+:([0-9]+):/g;function Cw(r,t){let e=ltt.exec(t);if(e==null){console.log(`Couldn't parse line number in error: ${t}`),console.log(r);return}let n=+e[1],o=r.split(` `),s=o.length.toString().length+2,i=o.map((p,m)=>y.rightPad((m+1).toString(),s)+p),a=0;for(let p=0;pr.createProgram(),"Unable to create WebGLProgram.")}function Ik(r,t){if(yt(r,()=>r.linkProgram(t)),!M().get("ENGINE_COMPILE_ONLY")&&r.getProgramParameter(t,r.LINK_STATUS)===!1)throw console.log(r.getProgramInfoLog(t)),new Error("Failed to link vertex and fragment shaders.")}function Hh(r,t){if(yt(r,()=>r.validateProgram(t)),r.getProgramParameter(t,r.VALIDATE_STATUS)===!1)throw console.log(r.getProgramInfoLog(t)),new Error("Shader program validation failed.")}function vk(r,t){let e=dl(r,()=>r.createBuffer(),"Unable to create WebGLBuffer");return yt(r,()=>r.bindBuffer(r.ARRAY_BUFFER,e)),yt(r,()=>r.bufferData(r.ARRAY_BUFFER,t,r.STATIC_DRAW)),e}function Sk(r,t){let e=dl(r,()=>r.createBuffer(),"Unable to create WebGLBuffer");return yt(r,()=>r.bindBuffer(r.ELEMENT_ARRAY_BUFFER,e)),yt(r,()=>r.bufferData(r.ELEMENT_ARRAY_BUFFER,t,r.STATIC_DRAW)),e}function K9(){return M().getNumber("WEBGL_VERSION")===2?1:4}function Nk(r){return dl(r,()=>r.createTexture(),"Unable to create WebGLTexture.")}function kk(r,t){let e=M().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(r<=0||t<=0){let n=`[${r}x${t}]`;throw new Error("Requested texture size "+n+" is invalid.")}if(r>e||t>e){let n=`[${r}x${t}]`,o=`[${e}x${e}]`;throw new Error("Requested texture size "+n+" greater than WebGL maximum on this browser / GPU "+o+".")}}function Tk(r){return dl(r,()=>r.createFramebuffer(),"Unable to create WebGLFramebuffer.")}function gw(r,t,e,n,o,s,i){let a=r.getAttribLocation(t,e);return a===-1?!1:(yt(r,()=>r.bindBuffer(r.ARRAY_BUFFER,n)),yt(r,()=>r.vertexAttribPointer(a,o,r.FLOAT,!1,s,i)),yt(r,()=>r.enableVertexAttribArray(a)),!0)}function WP(r,t,e){HP(r,e),yt(r,()=>r.activeTexture(r.TEXTURE0+e)),yt(r,()=>r.bindTexture(r.TEXTURE_2D,t))}function j9(r,t){HP(r,t),yt(r,()=>r.activeTexture(r.TEXTURE0+t)),yt(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function Ek(r,t,e){return dl(r,()=>r.getUniformLocation(t,e),'uniform "'+e+'" not present in program.')}function _k(r,t,e){return r.getUniformLocation(t,e)}function Ak(r,t,e,n){yt(r,()=>WP(r,t,n)),yt(r,()=>r.uniform1i(e,n))}function X9(r){yt(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,null)),yt(r,()=>r.viewport(0,0,r.canvas.width,r.canvas.height)),yt(r,()=>r.scissor(0,0,r.canvas.width,r.canvas.height))}function qh(r,t,e){yt(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,e)),yt(r,()=>r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,t,0))}function xw(r,t){yt(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,t)),yt(r,()=>r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,null,0))}function ud(r){let t=r.checkFramebufferStatus(r.FRAMEBUFFER);if(t!==r.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+UP(r,t))}function UP(r,t){switch(t){case r.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_ATTACHMENT";case r.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT";case r.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return"FRAMEBUFFER_INCOMPLETE_DIMENSIONS";case r.FRAMEBUFFER_UNSUPPORTED:return"FRAMEBUFFER_UNSUPPORTED";default:return`unknown error ${t}`}}function dl(r,t,e){let n=yt(r,()=>t());if(n==null)throw new Error(e);return n}function HP(r,t){let e=r.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,n=t+r.TEXTURE0;if(ne){let o=`[gl.TEXTURE0, gl.TEXTURE${e}]`;throw new Error(`textureUnit must be in ${o}.`)}}function hl(r,t=2){return y.sizeFromShape(r.slice(0,r.length-t))}function gl(r){if(r.length===0)throw Error("Cannot get rows and columns of an empty shape array.");return[r.length>1?r[r.length-2]:1,r[r.length-1]]}function Kh(r){let t=[1,1,1];return r.length===0||r.length===1&&r[0]===1||(t=[hl(r),...gl(r)]),t}function $k(r,t=!1){let e=M().getNumber("WEBGL_MAX_TEXTURE_SIZE"),n=M().getNumber("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE");n===1/0&&M().getBool("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE")&&(n=e/2),t&&(e=e*2,n=n*2,r=r.map((a,u)=>u>=r.length-2?y.nearestLargerEven(r[u]):r[u]),r.length===1&&(r=[2,r[0]])),r.length!==2&&(r=y.squeezeShape(r).newShape);let o=y.sizeFromShape(r),s=null;r.length<=1&&o<=e?s=[1,o]:r.length===2&&r[0]<=e&&r[1]<=e?s=r:r.length===3&&r[0]*r[1]<=e&&r[2]<=e?s=[r[0]*r[1],r[2]]:r.length===3&&r[0]<=e&&r[1]*r[2]<=e?s=[r[0],r[1]*r[2]]:r.length===4&&r[0]*r[1]*r[2]<=e&&r[3]<=e?s=[r[0]*r[1]*r[2],r[3]]:r.length===4&&r[0]<=e&&r[1]*r[2]*r[3]<=e&&(s=[r[0],r[1]*r[2]*r[3]]);let i=s!=null&&Math.max(...s)>n&&Math.min(...s)<=(t?2:1)&&Math.min(...s)>0;if(s==null||i)if(t){let a=hl(r),u=2,l=2;r.length&&([u,l]=gl(r)),o=a*(u/2)*(l/2),s=y.sizeToSquarishShape(o).map(c=>c*2)}else s=y.sizeToSquarishShape(o);return s}function mw(r){return r%2===0}function Tu(r,t){if(r=r.slice(-2),t=t.slice(-2),y.arraysEqual(r,t)||!r.length||!t.length||r[0]===0||r[1]===0||t[0]===0||t[1]===0)return!0;if(r.length!==t.length){let e=r.slice(-1)[0],n=t.slice(-1)[0];if(e===n||mw(e)&&mw(n)&&(r[0]===1||t[0]===1))return!0}return r[1]===t[1]&&mw(r[0])&&mw(t[0])}var fw,dw;function Dk(r){if(fw==null){let t=Bn(r);fw=t.getParameter(t.MAX_TEXTURE_SIZE)}return fw}function Y9(){fw=null}function Z9(){dw=null}function Rk(r){if(dw==null){let t=Bn(r);dw=t.getParameter(t.MAX_TEXTURE_IMAGE_UNITS)}return Math.min(16,dw)}function Fk(r){if(r===0)return 0;let t,e=Bn(r);return Vn(e,"EXT_disjoint_timer_query_webgl2")&&r===2?t=2:Vn(e,"EXT_disjoint_timer_query")?t=1:t=0,t}function Vn(r,t){return r.getExtension(t)!=null}function yw(r){try{if(Bn(r)!=null)return!0}catch(t){return console.log("Error when getting WebGL context: ",t),!1}return!1}function Ok(r){if(r===0)return!1;let t=Bn(r);if(r===1){if(!Vn(t,"OES_texture_float"))return!1}else if(!Vn(t,"EXT_color_buffer_float"))return!1;return xk(t)}function Pk(r){if(r===0)return!1;let t=Bn(r);if(r===1){if(!Vn(t,"OES_texture_float")||!Vn(t,"WEBGL_color_buffer_float"))return!1}else{if(Vn(t,"EXT_color_buffer_float"))return xk(t);let n="EXT_color_buffer_half_float";if(Vn(t,n)){let o=t.getExtension(n);return J9(t,o)}return!1}return xk(t)}function xk(r){let t=Uh(r),e=r.createTexture();r.bindTexture(r.TEXTURE_2D,e);let n=1,o=1;r.texImage2D(r.TEXTURE_2D,0,t.internalFormatFloat,n,o,0,t.textureFormatFloat,t.textureTypeFloat,null);let s=r.createFramebuffer();r.bindFramebuffer(r.FRAMEBUFFER,s),r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,e,0);let i=r.checkFramebufferStatus(r.FRAMEBUFFER)===r.FRAMEBUFFER_COMPLETE;return r.bindTexture(r.TEXTURE_2D,null),r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteTexture(e),r.deleteFramebuffer(s),i}function J9(r,t){let e=Uh(r,t),n=r.createTexture();r.bindTexture(r.TEXTURE_2D,n);let o=1,s=1;r.texImage2D(r.TEXTURE_2D,0,e.internalFormatHalfFloat,o,s,0,e.textureFormatFloat,e.textureTypeHalfFloat,null);let i=r.createFramebuffer();r.bindFramebuffer(r.FRAMEBUFFER,i),r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,n,0);let a=r.checkFramebufferStatus(r.FRAMEBUFFER)===r.FRAMEBUFFER_COMPLETE;return r.bindTexture(r.TEXTURE_2D,null),r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteTexture(n),r.deleteFramebuffer(i),a}function Lk(r){return r!==2?!1:Bn(r).fenceSync!=null}function Zs(r,t){Array.isArray(r)||(r=[r]),r.forEach(e=>{e!=null&&y.assert(e.dtype!=="complex64",()=>`${t} does not support complex64 tensors in the WebGL backend.`)})}var Nt=M();Nt.registerFlag("HAS_WEBGL",()=>Nt.getNumber("WEBGL_VERSION")>0);Nt.registerFlag("WEBGL_VERSION",()=>yw(2)?2:yw(1)?1:0);Nt.registerFlag("WEBGL_CHECK_NUMERICAL_PROBLEMS",()=>!1);Nt.registerFlag("WEBGL_BUFFER_SUPPORTED",()=>Nt.get("WEBGL_VERSION")===2);Nt.registerFlag("WEBGL_CPU_FORWARD",()=>!0);Nt.registerFlag("WEBGL_FORCE_F16_TEXTURES",()=>!1);Nt.registerFlag("WEBGL_PACK",()=>Nt.getBool("HAS_WEBGL"));Nt.registerFlag("WEBGL_PACK_NORMALIZATION",()=>Nt.getBool("WEBGL_PACK"));Nt.registerFlag("WEBGL_PACK_CLIP",()=>Nt.getBool("WEBGL_PACK"));Nt.registerFlag("WEBGL_PACK_DEPTHWISECONV",()=>Nt.getBool("WEBGL_PACK"));Nt.registerFlag("WEBGL_PACK_BINARY_OPERATIONS",()=>Nt.getBool("WEBGL_PACK"));Nt.registerFlag("WEBGL_PACK_UNARY_OPERATIONS",()=>Nt.getBool("WEBGL_PACK"));Nt.registerFlag("WEBGL_PACK_ARRAY_OPERATIONS",()=>Nt.getBool("WEBGL_PACK"));Nt.registerFlag("WEBGL_PACK_IMAGE_OPERATIONS",()=>Nt.getBool("WEBGL_PACK"));Nt.registerFlag("WEBGL_PACK_REDUCE",()=>Nt.getBool("WEBGL_PACK"));Nt.registerFlag("WEBGL_LAZILY_UNPACK",()=>Nt.getBool("WEBGL_PACK"));Nt.registerFlag("WEBGL_CONV_IM2COL",()=>Nt.getBool("WEBGL_PACK"));Nt.registerFlag("WEBGL_MAX_TEXTURE_SIZE",()=>Dk(Nt.getNumber("WEBGL_VERSION")));Nt.registerFlag("WEBGL_MAX_TEXTURES_IN_SHADER",()=>Rk(Nt.getNumber("WEBGL_VERSION")));Nt.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION",()=>{let r=Nt.getNumber("WEBGL_VERSION");return r===0?0:Fk(r)});Nt.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE",()=>Nt.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0&&!Hl.isMobile());Nt.registerFlag("WEBGL_RENDER_FLOAT32_CAPABLE",()=>Ok(Nt.getNumber("WEBGL_VERSION")));Nt.registerFlag("WEBGL_RENDER_FLOAT32_ENABLED",()=>Nt.getBool("WEBGL_FORCE_F16_TEXTURES")?!1:Nt.getBool("WEBGL_RENDER_FLOAT32_CAPABLE"));Nt.registerFlag("WEBGL_DOWNLOAD_FLOAT_ENABLED",()=>Pk(Nt.getNumber("WEBGL_VERSION")));Nt.registerFlag("WEBGL_FENCE_API_ENABLED",()=>Lk(Nt.getNumber("WEBGL_VERSION")));Nt.registerFlag("WEBGL_SIZE_UPLOAD_UNIFORM",()=>Nt.getBool("WEBGL_RENDER_FLOAT32_ENABLED")?4:0);Nt.registerFlag("WEBGL_DELETE_TEXTURE_THRESHOLD",()=>-1,r=>{if(r<0&&r!==-1)throw new Error(`WEBGL_DELETE_TEXTURE_THRESHOLD must be -1 (indicating never delete) or at least 0, but got ${r}.`)});Nt.registerFlag("WEBGL_FLUSH_THRESHOLD",()=>Hl.isMobile()?1:-1,r=>{if(r<0&&r!==-1)throw new Error(`WEBGL_FLUSH_THRESHOLD must be -1 (indicating never manual flush) or at least 0, but got ${r}.`)});Nt.registerFlag("CPU_HANDOFF_SIZE_THRESHOLD",()=>128);Nt.registerFlag("WEBGL_USE_SHAPES_UNIFORMS",()=>!1);Nt.registerFlag("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD",()=>1e5);Nt.registerFlag("TOPK_K_CPU_HANDOFF_THRESHOLD",()=>128);Nt.registerFlag("WEBGL_EXP_CONV",()=>!1);Nt.registerFlag("SOFTWARE_WEBGL_ENABLED",()=>Nt.getBool("IS_TEST"));Nt.registerFlag("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE",()=>1/0);Nt.registerFlag("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE",()=>!1);Nt.registerFlag("WEBGL2_ISNAN_CUSTOM",()=>!1);function Ve(){let r,t,e,n,o,s,i,a,u,l;return M().getNumber("WEBGL_VERSION")===2?(r="#version 300 es",t="in",e="out",n="in",o="texture",s="outputColor",i="out vec4 outputColor;",a=M().getBool("WEBGL2_ISNAN_CUSTOM")?` +`))}function TT(r){return gl(r,()=>r.createProgram(),"Unable to create WebGLProgram.")}function kT(r,t){if(yt(r,()=>r.linkProgram(t)),!z().get("ENGINE_COMPILE_ONLY")&&r.getProgramParameter(t,r.LINK_STATUS)===!1)throw console.log(r.getProgramInfoLog(t)),new Error("Failed to link vertex and fragment shaders.")}function Yh(r,t){if(yt(r,()=>r.validateProgram(t)),r.getProgramParameter(t,r.VALIDATE_STATUS)===!1)throw console.log(r.getProgramInfoLog(t)),new Error("Shader program validation failed.")}function ET(r,t){let e=gl(r,()=>r.createBuffer(),"Unable to create WebGLBuffer");return yt(r,()=>r.bindBuffer(r.ARRAY_BUFFER,e)),yt(r,()=>r.bufferData(r.ARRAY_BUFFER,t,r.STATIC_DRAW)),e}function _T(r,t){let e=gl(r,()=>r.createBuffer(),"Unable to create WebGLBuffer");return yt(r,()=>r.bindBuffer(r.ELEMENT_ARRAY_BUFFER,e)),yt(r,()=>r.bufferData(r.ELEMENT_ARRAY_BUFFER,t,r.STATIC_DRAW)),e}function utt(){return z().getNumber("WEBGL_VERSION")===2?1:4}function AT(r){return gl(r,()=>r.createTexture(),"Unable to create WebGLTexture.")}function $T(r,t){let e=z().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(r<=0||t<=0){let n=`[${r}x${t}]`;throw new Error("Requested texture size "+n+" is invalid.")}if(r>e||t>e){let n=`[${r}x${t}]`,o=`[${e}x${e}]`;throw new Error("Requested texture size "+n+" greater than WebGL maximum on this browser / GPU "+o+".")}}function DT(r){return gl(r,()=>r.createFramebuffer(),"Unable to create WebGLFramebuffer.")}function Iw(r,t,e,n,o,s,i){let a=r.getAttribLocation(t,e);return a===-1?!1:(yt(r,()=>r.bindBuffer(r.ARRAY_BUFFER,n)),yt(r,()=>r.vertexAttribPointer(a,o,r.FLOAT,!1,s,i)),yt(r,()=>r.enableVertexAttribArray(a)),!0)}function JP(r,t,e){tL(r,e),yt(r,()=>r.activeTexture(r.TEXTURE0+e)),yt(r,()=>r.bindTexture(r.TEXTURE_2D,t))}function ctt(r,t){tL(r,t),yt(r,()=>r.activeTexture(r.TEXTURE0+t)),yt(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function RT(r,t,e){return gl(r,()=>r.getUniformLocation(t,e),'uniform "'+e+'" not present in program.')}function FT(r,t,e){return r.getUniformLocation(t,e)}function OT(r,t,e,n){yt(r,()=>JP(r,t,n)),yt(r,()=>r.uniform1i(e,n))}function ptt(r){yt(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,null)),yt(r,()=>r.viewport(0,0,r.canvas.width,r.canvas.height)),yt(r,()=>r.scissor(0,0,r.canvas.width,r.canvas.height))}function Zh(r,t,e){yt(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,e)),yt(r,()=>r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,t,0))}function Sw(r,t){yt(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,t)),yt(r,()=>r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,null,0))}function md(r){let t=r.checkFramebufferStatus(r.FRAMEBUFFER);if(t!==r.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+QP(r,t))}function QP(r,t){switch(t){case r.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_ATTACHMENT";case r.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT";case r.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return"FRAMEBUFFER_INCOMPLETE_DIMENSIONS";case r.FRAMEBUFFER_UNSUPPORTED:return"FRAMEBUFFER_UNSUPPORTED";default:return`unknown error ${t}`}}function gl(r,t,e){let n=yt(r,()=>t());if(n==null)throw new Error(e);return n}function tL(r,t){let e=r.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,n=t+r.TEXTURE0;if(ne){let o=`[gl.TEXTURE0, gl.TEXTURE${e}]`;throw new Error(`textureUnit must be in ${o}.`)}}function xl(r,t=2){return y.sizeFromShape(r.slice(0,r.length-t))}function yl(r){if(r.length===0)throw Error("Cannot get rows and columns of an empty shape array.");return[r.length>1?r[r.length-2]:1,r[r.length-1]]}function fd(r){let t=[1,1,1];return r.length===0||r.length===1&&r[0]===1||(t=[xl(r),...yl(r)]),t}function PT(r,t=!1){let e=z().getNumber("WEBGL_MAX_TEXTURE_SIZE"),n=z().getNumber("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE");n===1/0&&z().getBool("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE")&&(n=e/2),t&&(e=e*2,n=n*2,r=r.map((a,u)=>u>=r.length-2?y.nearestLargerEven(r[u]):r[u]),r.length===1&&(r=[2,r[0]])),r.length!==2&&(r=y.squeezeShape(r).newShape);let o=y.sizeFromShape(r),s=null;r.length<=1&&o<=e?s=[1,o]:r.length===2&&r[0]<=e&&r[1]<=e?s=r:r.length===3&&r[0]*r[1]<=e&&r[2]<=e?s=[r[0]*r[1],r[2]]:r.length===3&&r[0]<=e&&r[1]*r[2]<=e?s=[r[0],r[1]*r[2]]:r.length===4&&r[0]*r[1]*r[2]<=e&&r[3]<=e?s=[r[0]*r[1]*r[2],r[3]]:r.length===4&&r[0]<=e&&r[1]*r[2]*r[3]<=e&&(s=[r[0],r[1]*r[2]*r[3]]);let i=s!=null&&Math.max(...s)>n&&Math.min(...s)<=(t?2:1)&&Math.min(...s)>0;if(s==null||i)if(t){let a=xl(r),u=2,l=2;r.length&&([u,l]=yl(r)),o=a*(u/2)*(l/2),s=y.sizeToSquarishShape(o).map(c=>c*2)}else s=y.sizeToSquarishShape(o);return s}function yw(r){return r%2===0}function Eu(r,t){if(r=r.slice(-2),t=t.slice(-2),y.arraysEqual(r,t)||!r.length||!t.length||r[0]===0||r[1]===0||t[0]===0||t[1]===0)return!0;if(r.length!==t.length){let e=r.slice(-1)[0],n=t.slice(-1)[0];if(e===n||yw(e)&&yw(n)&&(r[0]===1||t[0]===1))return!0}return r[1]===t[1]&&yw(r[0])&&yw(t[0])}var bw,ww;function LT(r){if(bw==null){let t=Gn(r);bw=t.getParameter(t.MAX_TEXTURE_SIZE)}return bw}function mtt(){bw=null}function ftt(){ww=null}function MT(r){if(ww==null){let t=Gn(r);ww=t.getParameter(t.MAX_TEXTURE_IMAGE_UNITS)}return Math.min(16,ww)}function zT(r){if(r===0)return 0;let t,e=Gn(r);return Wn(e,"EXT_disjoint_timer_query_webgl2")&&r===2?t=2:Wn(e,"EXT_disjoint_timer_query")?t=1:t=0,t}function Wn(r,t){return r.getExtension(t)!=null}function vw(r){try{if(Gn(r)!=null)return!0}catch(t){return console.log("Error when getting WebGL context: ",t),!1}return!1}function BT(r){if(r===0)return!1;let t=Gn(r);if(r===1){if(!Wn(t,"OES_texture_float"))return!1}else if(!Wn(t,"EXT_color_buffer_float"))return!1;return IT(t)}function VT(r){if(r===0)return!1;let t=Gn(r);if(r===1){if(!Wn(t,"OES_texture_float")||!Wn(t,"WEBGL_color_buffer_float"))return!1}else{if(Wn(t,"EXT_color_buffer_float"))return IT(t);let n="EXT_color_buffer_half_float";if(Wn(t,n)){let o=t.getExtension(n);return dtt(t,o)}return!1}return IT(t)}function IT(r){let t=Xh(r),e=r.createTexture();r.bindTexture(r.TEXTURE_2D,e);let n=1,o=1;r.texImage2D(r.TEXTURE_2D,0,t.internalFormatFloat,n,o,0,t.textureFormatFloat,t.textureTypeFloat,null);let s=r.createFramebuffer();r.bindFramebuffer(r.FRAMEBUFFER,s),r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,e,0);let i=r.checkFramebufferStatus(r.FRAMEBUFFER)===r.FRAMEBUFFER_COMPLETE;return r.bindTexture(r.TEXTURE_2D,null),r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteTexture(e),r.deleteFramebuffer(s),i}function dtt(r,t){let e=Xh(r,t),n=r.createTexture();r.bindTexture(r.TEXTURE_2D,n);let o=1,s=1;r.texImage2D(r.TEXTURE_2D,0,e.internalFormatHalfFloat,o,s,0,e.textureFormatFloat,e.textureTypeHalfFloat,null);let i=r.createFramebuffer();r.bindFramebuffer(r.FRAMEBUFFER,i),r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,n,0);let a=r.checkFramebufferStatus(r.FRAMEBUFFER)===r.FRAMEBUFFER_COMPLETE;return r.bindTexture(r.TEXTURE_2D,null),r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteTexture(n),r.deleteFramebuffer(i),a}function GT(r){return r!==2?!1:Gn(r).fenceSync!=null}function Qs(r,t){Array.isArray(r)||(r=[r]),r.forEach(e=>{e!=null&&y.assert(e.dtype!=="complex64",()=>`${t} does not support complex64 tensors in the WebGL backend.`)})}var Tt=z();Tt.registerFlag("HAS_WEBGL",()=>Tt.getNumber("WEBGL_VERSION")>0);Tt.registerFlag("WEBGL_VERSION",()=>vw(2)?2:vw(1)?1:0);Tt.registerFlag("WEBGL_CHECK_NUMERICAL_PROBLEMS",()=>!1);Tt.registerFlag("WEBGL_BUFFER_SUPPORTED",()=>Tt.get("WEBGL_VERSION")===2);Tt.registerFlag("WEBGL_CPU_FORWARD",()=>!0);Tt.registerFlag("WEBGL_FORCE_F16_TEXTURES",()=>!1);Tt.registerFlag("WEBGL_PACK",()=>Tt.getBool("HAS_WEBGL"));Tt.registerFlag("WEBGL_PACK_NORMALIZATION",()=>Tt.getBool("WEBGL_PACK"));Tt.registerFlag("WEBGL_PACK_CLIP",()=>Tt.getBool("WEBGL_PACK"));Tt.registerFlag("WEBGL_PACK_DEPTHWISECONV",()=>Tt.getBool("WEBGL_PACK"));Tt.registerFlag("WEBGL_PACK_BINARY_OPERATIONS",()=>Tt.getBool("WEBGL_PACK"));Tt.registerFlag("WEBGL_PACK_UNARY_OPERATIONS",()=>Tt.getBool("WEBGL_PACK"));Tt.registerFlag("WEBGL_PACK_ARRAY_OPERATIONS",()=>Tt.getBool("WEBGL_PACK"));Tt.registerFlag("WEBGL_PACK_IMAGE_OPERATIONS",()=>Tt.getBool("WEBGL_PACK"));Tt.registerFlag("WEBGL_PACK_REDUCE",()=>Tt.getBool("WEBGL_PACK"));Tt.registerFlag("WEBGL_LAZILY_UNPACK",()=>Tt.getBool("WEBGL_PACK"));Tt.registerFlag("WEBGL_CONV_IM2COL",()=>Tt.getBool("WEBGL_PACK"));Tt.registerFlag("WEBGL_MAX_TEXTURE_SIZE",()=>LT(Tt.getNumber("WEBGL_VERSION")));Tt.registerFlag("WEBGL_MAX_TEXTURES_IN_SHADER",()=>MT(Tt.getNumber("WEBGL_VERSION")));Tt.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION",()=>{let r=Tt.getNumber("WEBGL_VERSION");return r===0?0:zT(r)});Tt.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE",()=>Tt.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0&&!Kl.isMobile());Tt.registerFlag("WEBGL_RENDER_FLOAT32_CAPABLE",()=>BT(Tt.getNumber("WEBGL_VERSION")));Tt.registerFlag("WEBGL_RENDER_FLOAT32_ENABLED",()=>Tt.getBool("WEBGL_FORCE_F16_TEXTURES")?!1:Tt.getBool("WEBGL_RENDER_FLOAT32_CAPABLE"));Tt.registerFlag("WEBGL_DOWNLOAD_FLOAT_ENABLED",()=>VT(Tt.getNumber("WEBGL_VERSION")));Tt.registerFlag("WEBGL_FENCE_API_ENABLED",()=>GT(Tt.getNumber("WEBGL_VERSION")));Tt.registerFlag("WEBGL_SIZE_UPLOAD_UNIFORM",()=>Tt.getBool("WEBGL_RENDER_FLOAT32_ENABLED")?4:0);Tt.registerFlag("WEBGL_DELETE_TEXTURE_THRESHOLD",()=>-1,r=>{if(r<0&&r!==-1)throw new Error(`WEBGL_DELETE_TEXTURE_THRESHOLD must be -1 (indicating never delete) or at least 0, but got ${r}.`)});Tt.registerFlag("WEBGL_FLUSH_THRESHOLD",()=>Kl.isMobile()?1:-1,r=>{if(r<0&&r!==-1)throw new Error(`WEBGL_FLUSH_THRESHOLD must be -1 (indicating never manual flush) or at least 0, but got ${r}.`)});Tt.registerFlag("CPU_HANDOFF_SIZE_THRESHOLD",()=>128);Tt.registerFlag("WEBGL_USE_SHAPES_UNIFORMS",()=>!1);Tt.registerFlag("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD",()=>1e5);Tt.registerFlag("TOPK_K_CPU_HANDOFF_THRESHOLD",()=>128);Tt.registerFlag("WEBGL_EXP_CONV",()=>!1);Tt.registerFlag("SOFTWARE_WEBGL_ENABLED",()=>Tt.getBool("IS_TEST"));Tt.registerFlag("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE",()=>1/0);Tt.registerFlag("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE",()=>!1);Tt.registerFlag("WEBGL2_ISNAN_CUSTOM",()=>!1);function Ge(){let r,t,e,n,o,s,i,a,u,l;return z().getNumber("WEBGL_VERSION")===2?(r="#version 300 es",t="in",e="out",n="in",o="texture",s="outputColor",i="out vec4 outputColor;",a=z().getBool("WEBGL2_ISNAN_CUSTOM")?` bool isnan_custom(float val) { uint floatToUint = floatBitsToUint(val); return (floatToUint & 0x7fffffffu) > 0x7f800000u; @@ -107,15 +108,15 @@ Hi, looks like you are running TensorFlow.js in Node.js. To speed things up dram ivec4 round(vec4 value) { return ivec4(floor(value + vec4(0.5))); } - `),{version:r,attribute:t,varyingVs:e,varyingFs:n,texture2D:o,output:s,defineOutput:i,defineSpecialNaN:a,defineSpecialInf:u,defineRound:l}}function Js(r,t,e="index"){let n=y.computeStrides(t);return n.map((o,s)=>{let i=`int ${r[s]} = ${e} / ${o}`,a=s===n.length-1?`int ${r[s+1]} = ${e} - ${r[s]} * ${o}`:`index -= ${r[s]} * ${o}`;return`${i}; ${a};`}).join("")}function Mc(r,t,e="index"){let n=y.computeStrides(t);return n.map((o,s)=>{let i=`int ${r[s]} = ${e} / outShapeStrides[${s}]`,a=s===n.length-1?`int ${r[s+1]} = ${e} - ${r[s]} * outShapeStrides[${s}]`:`index -= ${r[s]} * outShapeStrides[${s}]`;return`${i}; ${a};`}).join("")}function Q9(r,t){let e=r.length,n=r.map(s=>`${t}[${s}]`),o=new Array(e-1);o[e-2]=n[e-1];for(let s=e-3;s>=0;--s)o[s]=`(${o[s+1]} * ${n[s+1]})`;return o}function qP(r,t,e="index"){let n=r.map((s,i)=>i),o=Q9(n,t);return o.map((s,i)=>{let a=`int ${r[i]} = ${e} / ${o[i]}`,u=i===o.length-1?`int ${r[i+1]} = ${e} - ${r[i]} * ${o[i]}`:`index -= ${r[i]} * ${o[i]}`;return`${a}; ${u};`}).join("")}function pd(r){let t=y.computeStrides(r).map(e=>e.toString());return` + `),{version:r,attribute:t,varyingVs:e,varyingFs:n,texture2D:o,output:s,defineOutput:i,defineSpecialNaN:a,defineSpecialInf:u,defineRound:l}}function ti(r,t,e="index"){let n=y.computeStrides(t);return n.map((o,s)=>{let i=`int ${r[s]} = ${e} / ${o}`,a=s===n.length-1?`int ${r[s+1]} = ${e} - ${r[s]} * ${o}`:`index -= ${r[s]} * ${o}`;return`${i}; ${a};`}).join("")}function Mc(r,t,e="index"){let n=y.computeStrides(t);return n.map((o,s)=>{let i=`int ${r[s]} = ${e} / outShapeStrides[${s}]`,a=s===n.length-1?`int ${r[s+1]} = ${e} - ${r[s]} * outShapeStrides[${s}]`:`index -= ${r[s]} * outShapeStrides[${s}]`;return`${i}; ${a};`}).join("")}function htt(r,t){let e=r.length,n=r.map(s=>`${t}[${s}]`),o=new Array(e-1);o[e-2]=n[e-1];for(let s=e-3;s>=0;--s)o[s]=`(${o[s+1]} * ${n[s+1]})`;return o}function eL(r,t,e="index"){let n=r.map((s,i)=>i),o=htt(n,t);return o.map((s,i)=>{let a=`int ${r[i]} = ${e} / ${o[i]}`,u=i===o.length-1?`int ${r[i+1]} = ${e} - ${r[i]} * ${o[i]}`:`index -= ${r[i]} * ${o[i]}`;return`${a}; ${u};`}).join("")}function hd(r){let t=y.computeStrides(r).map(e=>e.toString());return` int getFlatIndex(ivec3 coords) { return coords.x * ${t[0]} + coords.y * ${t[1]} + coords.z; } -`}function md(){return` +`}function gd(){return` int getFlatIndex(ivec3 coords) { return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z; } -`}var bw=` +`}var Nw=` const float FLOAT_MAX = 1.70141184e38; const float FLOAT_MIN = 1.17549435e-38; @@ -154,22 +155,22 @@ Hi, looks like you are running TensorFlow.js in Node.js. To speed things up dram return c / 255.0; } -`;var{getBroadcastDims:KP}=S;function jP(r,t,e){let n=[];if(r.forEach(f=>{let d=y.sizeFromShape(f.shapeInfo.logicalShape);if(f.shapeInfo.isUniform?n.push(`uniform float ${f.name}${d>1?`[${d}]`:""};`):(n.push(`uniform sampler2D ${f.name};`),n.push(`uniform int offset${f.name};`)),e.enableShapeUniforms){let{uniformShape:h}=ww(e.packedInputs,f.shapeInfo.logicalShape,f.shapeInfo.texShape);switch(h.length){case 1:n.push(`uniform int ${f.name}Shape;`);break;case 2:n.push(`uniform ivec2 ${f.name}Shape;`);break;case 3:n.push(`uniform ivec3 ${f.name}Shape;`);break;case 4:n.push(`uniform ivec4 ${f.name}Shape;`);break;default:break}n.push(`uniform ivec2 ${f.name}TexShape;`)}}),e.enableShapeUniforms){switch(t.logicalShape.length){case 1:n.push("uniform int outShape;");break;case 2:n.push("uniform ivec2 outShape;"),n.push("uniform int outShapeStrides;");break;case 3:n.push("uniform ivec3 outShape;"),n.push("uniform ivec2 outShapeStrides;");break;case 4:n.push("uniform ivec4 outShape;"),n.push("uniform ivec3 outShapeStrides;");break;default:break}n.push("uniform ivec2 outTexShape;")}e.customUniforms&&e.customUniforms.forEach(f=>{n.push(`uniform ${f.type} ${f.name}${f.arrayIndex?`[${f.arrayIndex}]`:""};`)});let o=n.join(` -`),s=r.map(f=>ttt(f,t,e.packedInputs,e.enableShapeUniforms)).join(` -`),i=t.texShape,a=Ve(),u=ntt(a),l,c,p=itt(a);return t.isPacked?(l=ett(t.logicalShape,i,e.enableShapeUniforms),c=stt(a)):(l=rtt(t.logicalShape,i,e.enableShapeUniforms),c=ott(a)),e.packedInputs&&(p+=ctt),[p,u,c,o,l,s,e.userCode].join(` -`)}function dd(r,t=!1){let e=r.shapeInfo.logicalShape;switch(e.length){case 0:return Itt(r,t);case 1:return Stt(r,t);case 2:return ktt(r,t);case 3:return Ett(r,t);case 4:return Att(r,t);case 5:return $tt(r);case 6:return Dtt(r);default:throw new Error(`${e.length}-D input sampling is not yet supported`)}}function XP(r,t){switch(r.shapeInfo.logicalShape.length){case 0:return Ctt(r);case 1:return vtt(r,t);case 2:return Ntt(r,t);case 3:return Ttt(r,t);default:return _tt(r,t)}}function ttt(r,t,e=!1,n){let o="";e?o+=XP(r,n):o+=dd(r,n);let s=r.shapeInfo.logicalShape,i=t.logicalShape;return s.length<=i.length&&(e?o+=Rtt(r,t):o+=Ftt(r,t)),o}function ett(r,t,e){switch(r.length){case 0:return YP();case 1:return ptt(r,t,e);case 2:return btt(r,t,e);case 3:return ftt(r,t,e);default:return htt(r,t,e)}}function rtt(r,t,e){switch(r.length){case 0:return YP();case 1:return mtt(r,t,e);case 2:return wtt(r,t,e);case 3:return dtt(r,t,e);case 4:return gtt(r,t,e);case 5:return xtt(r,t);case 6:return ytt(r,t);default:throw new Error(`${r.length}-D output sampling is not yet supported`)}}function ntt(r){return` +`;var{getBroadcastDims:rL}=v;function nL(r,t,e){let n=[];if(r.forEach(f=>{let d=y.sizeFromShape(f.shapeInfo.logicalShape);if(f.shapeInfo.isUniform?n.push(`uniform float ${f.name}${d>1?`[${d}]`:""};`):(n.push(`uniform sampler2D ${f.name};`),n.push(`uniform int offset${f.name};`)),e.enableShapeUniforms){let{uniformShape:h}=Tw(e.packedInputs,f.shapeInfo.logicalShape,f.shapeInfo.texShape);switch(h.length){case 1:n.push(`uniform int ${f.name}Shape;`);break;case 2:n.push(`uniform ivec2 ${f.name}Shape;`);break;case 3:n.push(`uniform ivec3 ${f.name}Shape;`);break;case 4:n.push(`uniform ivec4 ${f.name}Shape;`);break;default:break}n.push(`uniform ivec2 ${f.name}TexShape;`)}}),e.enableShapeUniforms){switch(t.logicalShape.length){case 1:n.push("uniform int outShape;");break;case 2:n.push("uniform ivec2 outShape;"),n.push("uniform int outShapeStrides;");break;case 3:n.push("uniform ivec3 outShape;"),n.push("uniform ivec2 outShapeStrides;");break;case 4:n.push("uniform ivec4 outShape;"),n.push("uniform ivec3 outShapeStrides;");break;default:break}n.push("uniform ivec2 outTexShape;")}e.customUniforms&&e.customUniforms.forEach(f=>{n.push(`uniform ${f.type} ${f.name}${f.arrayIndex?`[${f.arrayIndex}]`:""};`)});let o=n.join(` +`),s=r.map(f=>gtt(f,t,e.packedInputs,e.enableShapeUniforms)).join(` +`),i=t.texShape,a=Ge(),u=btt(a),l,c,p=Itt(a);return t.isPacked?(l=xtt(t.logicalShape,i,e.enableShapeUniforms),c=Ctt(a)):(l=ytt(t.logicalShape,i,e.enableShapeUniforms),c=wtt(a)),e.packedInputs&&(p+=Ttt),[p,u,c,o,l,s,e.userCode].join(` +`)}function yd(r,t=!1){let e=r.shapeInfo.logicalShape;switch(e.length){case 0:return Mtt(r,t);case 1:return Btt(r,t);case 2:return Gtt(r,t);case 3:return Utt(r,t);case 4:return qtt(r,t);case 5:return Ktt(r);case 6:return jtt(r);default:throw new Error(`${e.length}-D input sampling is not yet supported`)}}function oL(r,t){switch(r.shapeInfo.logicalShape.length){case 0:return Ltt(r);case 1:return ztt(r,t);case 2:return Vtt(r,t);case 3:return Wtt(r,t);default:return Htt(r,t)}}function gtt(r,t,e=!1,n){let o="";e?o+=oL(r,n):o+=yd(r,n);let s=r.shapeInfo.logicalShape,i=t.logicalShape;return s.length<=i.length&&(e?o+=Xtt(r,t):o+=Ytt(r,t)),o}function xtt(r,t,e){switch(r.length){case 0:return sL();case 1:return ktt(r,t,e);case 2:return Ott(r,t,e);case 3:return _tt(r,t,e);default:return $tt(r,t,e)}}function ytt(r,t,e){switch(r.length){case 0:return sL();case 1:return Ett(r,t,e);case 2:return Ptt(r,t,e);case 3:return Att(r,t,e);case 4:return Dtt(r,t,e);case 5:return Rtt(r,t);case 6:return Ftt(r,t);default:throw new Error(`${r.length}-D output sampling is not yet supported`)}}function btt(r){return` float sampleTexture(sampler2D textureSampler, vec2 uv) { return ${r.texture2D}(textureSampler, uv).r; } - `}function ott(r){return` + `}function wtt(r){return` void setOutput(float val) { ${r.output} = vec4(val, 0, 0, 0); } - `}function stt(r){return` + `}function Ctt(r){return` void setOutput(vec4 val) { ${r.output} = val; } - `}function itt(r){return`${r.version} + `}function Itt(r){return`${r.version} precision highp float; precision highp int; precision highp sampler2D; @@ -224,10 +225,10 @@ Hi, looks like you are running TensorFlow.js in Node.js. To speed things up dram return fract((p3.x + p3.y) * p3.z); } - ${att} - ${ltt} - ${utt} - `}var att=` + ${Stt} + ${vtt} + ${Ntt} + `}var Stt=` vec2 uvFromFlat(int texNumR, int texNumC, int index) { int texR = index / texNumC; int texC = index - texR * texNumC; @@ -239,7 +240,7 @@ vec2 packedUVfrom1D(int texNumR, int texNumC, int index) { int texC = texelIndex - texR * texNumC; return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); } -`,ltt=` +`,vtt=` vec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR, int texNumC, int row, int col) { int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2); @@ -247,7 +248,7 @@ vec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR, int texC = texelIndex - texR * texNumC; return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); } -`,utt=` +`,Ntt=` vec2 packedUVfrom3D(int texNumR, int texNumC, int texelsInBatch, int texelsInLogicalRow, int b, int row, int col) { @@ -256,7 +257,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, int texC = index - texR * texNumC; return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); } -`,ctt=` +`,Ttt=` float getChannel(vec4 frag, vec2 innerDims) { vec2 modCoord = mod(innerDims, 2.); return modCoord.x == 0. ? @@ -267,11 +268,11 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, float modCoord = mod(float(dim), 2.); return modCoord == 0. ? frag.r : frag.g; } -`;function YP(){return` +`;function sL(){return` int getOutputCoords() { return 0; } - `}function ptt(r,t,e){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return n[0]===1?e?` + `}function ktt(r,t,e){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return n[0]===1?e?` int getOutputCoords() { return 2 * int(resultUV.x * ceil(float(outTexShape[1]) / 2.0)); } @@ -300,7 +301,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2(${n[0]}, ${n[1]})); return 2 * (resTexRC.x * ${n[1]} + resTexRC.y); } - `}function mtt(r,t,e){return t[0]===1?e?` + `}function Ett(r,t,e){return t[0]===1?e?` int getOutputCoords() { return int(resultUV.x * float(outTexShape[1])); } @@ -328,7 +329,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2(${t[0]}, ${t[1]})); return resTexRC.x * ${t[1]} + resTexRC.y; } - `}function ftt(r,t,e){if(e)return` + `}function _tt(r,t,e){if(e)return` ivec3 getOutputCoords() { ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0)); int texelsInLogicalRow = int(ceil(float(outShape[2]) / 2.0)); @@ -359,7 +360,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, return ivec3(b, r, c); } - `}function dtt(r,t,e){if(e)return` + `}function Att(r,t,e){if(e)return` ivec3 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1])); @@ -367,7 +368,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ${Mc(["r","c","d"],r)} return ivec3(r, c, d); } -`;let n=Js(["r","c","d"],r);return` +`;let n=ti(["r","c","d"],r);return` ivec3 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(${t[0]}, ${t[1]})); @@ -375,7 +376,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ${n} return ivec3(r, c, d); } - `}function htt(r,t,e){if(e)return` + `}function $tt(r,t,e){if(e)return` ivec4 getOutputCoords() { ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0)); ivec2 resTexRC = ivec2(resultUV.yx * @@ -416,7 +417,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, return ivec${r.length}(${u}); } - `}function gtt(r,t,e){if(e)return` + `}function Dtt(r,t,e){if(e)return` ivec4 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1])); @@ -424,7 +425,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ${Mc(["r","c","d","d2"],r)} return ivec4(r, c, d, d2); } - `;let n=Js(["r","c","d","d2"],r);return` + `;let n=ti(["r","c","d","d2"],r);return` ivec4 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(${t[0]}, ${t[1]})); @@ -432,7 +433,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ${n} return ivec4(r, c, d, d2); } - `}function xtt(r,t){let e=Js(["r","c","d","d2","d3"],r);return` + `}function Rtt(r,t){let e=ti(["r","c","d","d2","d3"],r);return` ivec5 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(${t[0]}, ${t[1]})); @@ -444,7 +445,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ivec5 outShape = ivec5(r, c, d, d2, d3); return outShape; } - `}function ytt(r,t){let e=Js(["r","c","d","d2","d3","d4"],r);return` + `}function Ftt(r,t){let e=ti(["r","c","d","d2","d3","d4"],r);return` ivec6 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(${t[0]}, ${t[1]})); @@ -455,7 +456,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ivec6 result = ivec6(r, c, d, d2, d3, d4); return result; } - `}function btt(r,t,e){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(y.arraysEqual(r,t))return e?` + `}function Ott(r,t,e){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(y.arraysEqual(r,t))return e?` ivec2 getOutputCoords() { ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0)); return 2 * ivec2(resultUV.yx * vec2(packedTexShape[0], packedTexShape[1])); @@ -488,7 +489,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, return ivec2(r, c); } - `}function wtt(r,t,e){return y.arraysEqual(r,t)?e?` + `}function Ptt(r,t,e){return y.arraysEqual(r,t)?e?` ivec2 getOutputCoords() { return ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1])); } @@ -542,11 +543,11 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, int c = index - r * ${r[1]}; return ivec2(r, c); } - `}function zc(r){return`offset${r}`}function Ctt(r){let t=r.name,e="get"+t.charAt(0).toUpperCase()+t.slice(1),n=Ve();return` + `}function zc(r){return`offset${r}`}function Ltt(r){let t=r.name,e="get"+t.charAt(0).toUpperCase()+t.slice(1),n=Ge();return` vec4 ${e}() { return ${n.texture2D}(${t}, halfCR); } - `}function Itt(r,t){let e=r.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(r.shapeInfo.isUniform)return`float ${n}() {return ${e};}`;let[o,s]=r.shapeInfo.texShape;if(o===1&&s===1)return` + `}function Mtt(r,t){let e=r.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(r.shapeInfo.isUniform)return`float ${n}() {return ${e};}`;let[o,s]=r.shapeInfo.texShape;if(o===1&&s===1)return` float ${n}() { return sampleTexture(${e}, halfCR); } @@ -560,7 +561,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2 uv = uvFromFlat(${a}, ${u}, ${i}); return sampleTexture(${e}, uv); } - `}function vtt(r,t){let e=r.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1),o=r.shapeInfo.texShape,s=Ve();if(t)return` + `}function ztt(r,t){let e=r.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1),o=r.shapeInfo.texShape,s=Ge();if(t)return` vec4 ${n}(int index) { ivec2 packedTexShape = ivec2(ceil(float(${e}TexShape[0]) / 2.0), ceil(float(${e}TexShape[1]) / 2.0)); vec2 uv = packedUVfrom1D( @@ -573,9 +574,9 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ${i[0]}, ${i[1]}, index); return ${s.texture2D}(${e}, uv); } - `}function Stt(r,t){let e=r.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(r.shapeInfo.isUniform)return` + `}function Btt(r,t){let e=r.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(r.shapeInfo.isUniform)return` float ${n}(int index) { - ${hd(r)} + ${bd(r)} } `;let o=r.shapeInfo.texShape,s=o[0],i=o[1];if(i===1&&s===1)return` float ${n}(int index) { @@ -611,7 +612,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2 uv = uvFromFlat(${s}, ${i}, index + ${a}); return sampleTexture(${e}, uv); } - `}function Ntt(r,t){let e=r.shapeInfo.logicalShape,n=r.name,o="get"+n.charAt(0).toUpperCase()+n.slice(1),s=r.shapeInfo.texShape,i=s[0],a=s[1],u=Ve();if(s!=null&&y.arraysEqual(e,s))return t?` + `}function Vtt(r,t){let e=r.shapeInfo.logicalShape,n=r.name,o="get"+n.charAt(0).toUpperCase()+n.slice(1),s=r.shapeInfo.texShape,i=s[0],a=s[1],u=Ge();if(s!=null&&y.arraysEqual(e,s))return t?` vec4 ${o}(int row, int col) { vec2 uv = (vec2(col, row) + halfCR) / vec2(${n}TexShape[1], ${n}TexShape[0]); @@ -635,7 +636,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2 uv = packedUVfrom2D(${c}, ${l[0]}, ${l[1]}, row, col); return ${u.texture2D}(${n}, uv); } - `}function ktt(r,t){let e=r.shapeInfo.logicalShape,n=r.name,o="get"+n.charAt(0).toUpperCase()+n.slice(1),s=r.shapeInfo.texShape;if(s!=null&&y.arraysEqual(e,s)){if(t)return` + `}function Gtt(r,t){let e=r.shapeInfo.logicalShape,n=r.name,o="get"+n.charAt(0).toUpperCase()+n.slice(1),s=r.shapeInfo.texShape;if(s!=null&&y.arraysEqual(e,s)){if(t)return` float ${o}(int row, int col) { vec2 uv = (vec2(col, row) + halfCR) / vec2(${n}TexShape[1], ${n}TexShape[0]); return sampleTexture(${n}, uv); @@ -645,15 +646,15 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2 uv = (vec2(col, row) + halfCR) / vec2(${f}.0, ${m}.0); return sampleTexture(${n}, uv); } - `}let{newShape:i,keptDims:a}=y.squeezeShape(e),u=i;if(u.length=1?c="coords = 0;":c=a.map(b=>`coords.${p[b+l]} = 0;`).join(` + `}function Xtt(r,t){let e=r.name,n=e.charAt(0).toUpperCase()+e.slice(1),o="get"+n+"AtOutCoords",s=r.shapeInfo.logicalShape.length,i=t.logicalShape.length,a=rL(r.shapeInfo.logicalShape,t.logicalShape),u=zt(i),l=i-s,c,p=["x","y","z","w","u","v"];s===0?c="":i<2&&a.length>=1?c="coords = 0;":c=a.map(b=>`coords.${p[b+l]} = 0;`).join(` `);let m="";i<2&&s>0?m="coords":m=r.shapeInfo.logicalShape.map((b,w)=>`coords.${p[w+l]}`).join(", ");let f="return outputValue;",h=y.sizeFromShape(r.shapeInfo.logicalShape)===1,x=y.sizeFromShape(t.logicalShape)===1;if(s===1&&!h&&!x)f=` return vec4(outputValue.xy, outputValue.xy); `;else if(h&&!x)i===1?f=` @@ -972,20 +973,20 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec4 outputValue = get${n}(${m}); ${f} } - `}function Ftt(r,t){let e=r.name,n=e.charAt(0).toUpperCase()+e.slice(1),o="get"+n+"AtOutCoords",s=t.texShape,i=r.shapeInfo.texShape,a=r.shapeInfo.logicalShape.length,u=t.logicalShape.length;if(!r.shapeInfo.isUniform&&a===u&&r.shapeInfo.flatOffset==null&&y.arraysEqual(i,s))return` + `}function Ytt(r,t){let e=r.name,n=e.charAt(0).toUpperCase()+e.slice(1),o="get"+n+"AtOutCoords",s=t.texShape,i=r.shapeInfo.texShape,a=r.shapeInfo.logicalShape.length,u=t.logicalShape.length;if(!r.shapeInfo.isUniform&&a===u&&r.shapeInfo.flatOffset==null&&y.arraysEqual(i,s))return` float ${o}() { return sampleTexture(${e}, resultUV); } - `;let l=zt(u),c=KP(r.shapeInfo.logicalShape,t.logicalShape),p=u-a,m,f=["x","y","z","w","u","v"];a===0?m="":u<2&&c.length>=1?m="coords = 0;":m=c.map(h=>`coords.${f[h+p]} = 0;`).join(` + `;let l=zt(u),c=rL(r.shapeInfo.logicalShape,t.logicalShape),p=u-a,m,f=["x","y","z","w","u","v"];a===0?m="":u<2&&c.length>=1?m="coords = 0;":m=c.map(h=>`coords.${f[h+p]} = 0;`).join(` `);let d="";return u<2&&a>0?d="coords":d=r.shapeInfo.logicalShape.map((h,g)=>`coords.${f[g+p]}`).join(", "),` float ${o}() { ${l} coords = getOutputCoords(); ${m} return get${n}(${d}); } - `}function zt(r){if(r<=1)return"int";if(r===2)return"ivec2";if(r===3)return"ivec3";if(r===4)return"ivec4";if(r===5)return"ivec5";if(r===6)return"ivec6";throw Error(`GPU for rank ${r} is not yet supported`)}function ww(r,t,e){let{newShape:n,keptDims:o}=y.squeezeShape(t),s=t.length,i=r&&s===3&&t[0]===1,a=i?t.slice(1):n,u=!r&&s>1&&!y.arraysEqual(t,e)&&n.lengthr[e]).join(", ")}function JP(r,t,e,n){let o=e.map((c,p)=>{let m={logicalShape:c.shape,texShape:c.isUniform?null:c.texData.texShape,isUniform:c.isUniform,isPacked:c.isUniform?!1:c.texData.isPacked,flatOffset:null};return c.texData!=null&&c.texData.slice!=null&&c.texData.slice.flatOffset>0&&(m.flatOffset=c.texData.slice.flatOffset),{name:t.variableNames[p],shapeInfo:m}}),s=o.map(c=>c.shapeInfo),i={logicalShape:n.shape,texShape:n.texData.texShape,isUniform:!1,isPacked:n.texData.isPacked,flatOffset:null},a=jP(o,i,t),u=wk(r.gl,a),l=r.createProgram(u);return M().get("ENGINE_COMPILE_ONLY")?{program:t,fragmentShader:u,source:a,webGLProgram:l,inShapeInfos:s,outShapeInfo:i,uniformLocations:null,customUniformLocations:null,infLoc:null,nanLoc:null,inShapesLocations:null,inTexShapesLocations:null,outShapeLocation:null,outShapeStridesLocation:null,outTexShapeLocation:null}:Object.assign({program:t,fragmentShader:u,source:a,webGLProgram:l,inShapeInfos:s,outShapeInfo:i},Mk(r,t,l))}function Mk(r,t,e){let n={},o={},s={},i=[],a,u,l,c=null,p=null;p=r.getUniformLocation(e,"NAN",!1),M().getNumber("WEBGL_VERSION")===1&&(c=r.getUniformLocation(e,"INFINITY",!1));let m=!1;for(let f=0;f{i[d]=r.getUniformLocation(e,f.name,m)}),{uniformLocations:n,customUniformLocations:i,infLoc:c,nanLoc:p,inShapesLocations:o,inTexShapesLocations:s,outShapeLocation:a,outShapeStridesLocation:l,outTexShapeLocation:u}}function ZP(r,t){if(r.length!==t.length)throw Error(`Binary was compiled with ${r.length} inputs, but was executed with ${t.length} inputs`);r.forEach((e,n)=>{let o=e.logicalShape,s=t[n],i=s.shape;if(!y.arraysEqual(o,i))throw Error(`Binary was compiled with different shapes than the current args. Shapes ${o} and ${i} must match`);if(e.isUniform&&s.isUniform)return;let a=e.texShape,u=s.isUniform?null:s.texData.texShape;if(!y.arraysEqual(a,u))throw Error(`Binary was compiled with different texture shapes than the current args. Shape ${a} and ${u} must match`)})}function QP(r,t,e,n,o){t.program.enableShapeUniforms||(ZP(t.inShapeInfos,e),ZP([t.outShapeInfo],[n]));let s=n.texData.texture,i=n.texData.texShape;n.texData.isPacked?r.setOutputPackedMatrixTexture(s.texture,i[0],i[1]):r.setOutputMatrixTexture(s.texture,i[0],i[1]),r.setProgram(t.webGLProgram),M().getNumber("WEBGL_VERSION")===1&&t.infLoc!==null&&r.gl.uniform1f(t.infLoc,1/0),t.nanLoc!==null&&r.gl.uniform1f(t.nanLoc,NaN),e.forEach((u,l)=>{let c=t.program.variableNames[l],p=t.uniformLocations[c],m=t.uniformLocations[`offset${c}`],f=t.inShapesLocations[`${c}Shape`],d=t.inTexShapesLocations[`${c}TexShape`];if(f){let{uniformShape:h}=ww(t.program.packedInputs,u.shape,u.texData.texShape);switch(h.length){case 1:r.gl.uniform1iv(f,new Int32Array(h));break;case 2:r.gl.uniform2iv(f,new Int32Array(h));break;case 3:r.gl.uniform3iv(f,new Int32Array(h));break;case 4:r.gl.uniform4iv(f,new Int32Array(h));break;default:break}}if(d&&r.gl.uniform2i(d,u.texData.texShape[0],u.texData.texShape[1]),p!=null){if(u.isUniform){if(y.sizeFromShape(u.shape)<2)r.gl.uniform1f(p,u.uniformValues[0]);else{let h=u.uniformValues;h instanceof Float32Array||(h=new Float32Array(h)),r.gl.uniform1fv(p,h)}return}u.texData.slice!=null&&m!=null&&r.gl.uniform1i(m,u.texData.slice.flatOffset),r.setInputMatrixTexture(u.texData.texture.texture,p,l)}});let a=t.outShapeLocation;if(a)switch(n.shape.length){case 1:r.gl.uniform1iv(a,new Int32Array(n.shape));break;case 2:r.gl.uniform2iv(a,new Int32Array(n.shape));break;case 3:r.gl.uniform3iv(a,new Int32Array(n.shape));break;case 4:r.gl.uniform4iv(a,new Int32Array(n.shape));break;default:break}if(t.outShapeStridesLocation){let u=y.computeStrides(n.shape);switch(n.shape.length){case 2:r.gl.uniform1iv(t.outShapeStridesLocation,new Int32Array(u));break;case 3:r.gl.uniform2iv(t.outShapeStridesLocation,new Int32Array(u));break;case 4:r.gl.uniform3iv(t.outShapeStridesLocation,new Int32Array(u));break;default:break}}t.outTexShapeLocation&&r.gl.uniform2i(t.outTexShapeLocation,n.texData.texShape[0],n.texData.texShape[1]),t.program.customUniforms&&o&&t.program.customUniforms.forEach((u,l)=>{let c=t.customUniformLocations[l],p=o[l];if(u.type==="float")r.gl.uniform1fv(c,p);else if(u.type==="vec2")r.gl.uniform2fv(c,p);else if(u.type==="vec3")r.gl.uniform3fv(c,p);else if(u.type==="vec4")r.gl.uniform4fv(c,p);else if(u.type==="int")r.gl.uniform1iv(c,p);else if(u.type==="ivec2")r.gl.uniform2iv(c,p);else if(u.type==="ivec3")r.gl.uniform3iv(c,p);else if(u.type==="ivec4")r.gl.uniform4iv(c,p);else throw Error(`uniform type ${u.type} is not supported yet.`)}),r.executeProgram()}function tL(r,t,e){let n="";t.concat(e).forEach(i=>{let a=i.texData!=null&&i.texData.slice!=null&&i.texData.slice.flatOffset>0;if(r.enableShapeUniforms&&!i.isUniform){let u=i.texData.texShape,{useSqueezeShape:l,uniformShape:c,keptDims:p}=ww(r.packedInputs,i.shape,u),m="",f="",d="";if(c.length===1&&r.packedInputs){let N=[Math.ceil(u[0]/2),Math.ceil(u[1]/2)];m=`${N[0]>1}_${N[1]>1}`}else if(c.length===2&&!r.packedInputs)f=`${c[0]>1}_${c[1]>1}`;else if(c.length>2&&!r.packedInputs){let N=y.computeStrides(c);d=`${N[0]===u[1]}_${N[N.length-1]===u[1]}`}let h=i.shape.length,g=c.length===2&&y.arraysEqual(i.shape,u),x=y.sizeFromShape(i.shape)===1,b=S.getBroadcastDims(i.shape,e.shape),w=!r.packedInputs&&h===e.shape.length&&y.arraysEqual(u,e.texData.texShape),C=r.packedInputs||c.length>2?"":`${u[0]>1}_${u[1]>1}`;n+=`${h}_${w}_${l?p:""}_${c.length}_${x}_${b}_${g}_${m}_${f}_${d}_${C}_${a}`}else{let u=i.isUniform?"uniform":i.texData.texShape;n+=`${i.shape}_${u}_${a}`}});let o=r.userCode,s=r.constructor.name;return s+="_"+n+"_"+o+`${M().getNumber("WEBGL_VERSION")}`,s}function we(r){return M().getBool("WEBGL_USE_SHAPES_UNIFORMS")&&r<=4}var Cw=class{constructor(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=ku.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];let e=Ve();this.outputShape=t,this.enableShapeUniforms=we(this.outputShape.length),this.userCode=` + `}function zt(r){if(r<=1)return"int";if(r===2)return"ivec2";if(r===3)return"ivec3";if(r===4)return"ivec4";if(r===5)return"ivec5";if(r===6)return"ivec6";throw Error(`GPU for rank ${r} is not yet supported`)}function Tw(r,t,e){let{newShape:n,keptDims:o}=y.squeezeShape(t),s=t.length,i=r&&s===3&&t[0]===1,a=i?t.slice(1):n,u=!r&&s>1&&!y.arraysEqual(t,e)&&n.lengthr[e]).join(", ")}function aL(r,t,e,n){let o=e.map((c,p)=>{let m={logicalShape:c.shape,texShape:c.isUniform?null:c.texData.texShape,isUniform:c.isUniform,isPacked:c.isUniform?!1:c.texData.isPacked,flatOffset:null};return c.texData!=null&&c.texData.slice!=null&&c.texData.slice.flatOffset>0&&(m.flatOffset=c.texData.slice.flatOffset),{name:t.variableNames[p],shapeInfo:m}}),s=o.map(c=>c.shapeInfo),i={logicalShape:n.shape,texShape:n.texData.texShape,isUniform:!1,isPacked:n.texData.isPacked,flatOffset:null},a=nL(o,i,t),u=NT(r.gl,a),l=r.createProgram(u);return z().get("ENGINE_COMPILE_ONLY")?{program:t,fragmentShader:u,source:a,webGLProgram:l,inShapeInfos:s,outShapeInfo:i,uniformLocations:null,customUniformLocations:null,infLoc:null,nanLoc:null,inShapesLocations:null,inTexShapesLocations:null,outShapeLocation:null,outShapeStridesLocation:null,outTexShapeLocation:null}:Object.assign({program:t,fragmentShader:u,source:a,webGLProgram:l,inShapeInfos:s,outShapeInfo:i},WT(r,t,l))}function WT(r,t,e){let n={},o={},s={},i=[],a,u,l,c=null,p=null;p=r.getUniformLocation(e,"NAN",!1),z().getNumber("WEBGL_VERSION")===1&&(c=r.getUniformLocation(e,"INFINITY",!1));let m=!1;for(let f=0;f{i[d]=r.getUniformLocation(e,f.name,m)}),{uniformLocations:n,customUniformLocations:i,infLoc:c,nanLoc:p,inShapesLocations:o,inTexShapesLocations:s,outShapeLocation:a,outShapeStridesLocation:l,outTexShapeLocation:u}}function iL(r,t){if(r.length!==t.length)throw Error(`Binary was compiled with ${r.length} inputs, but was executed with ${t.length} inputs`);r.forEach((e,n)=>{let o=e.logicalShape,s=t[n],i=s.shape;if(!y.arraysEqual(o,i))throw Error(`Binary was compiled with different shapes than the current args. Shapes ${o} and ${i} must match`);if(e.isUniform&&s.isUniform)return;let a=e.texShape,u=s.isUniform?null:s.texData.texShape;if(!y.arraysEqual(a,u))throw Error(`Binary was compiled with different texture shapes than the current args. Shape ${a} and ${u} must match`)})}function lL(r,t,e,n,o){t.program.enableShapeUniforms||(iL(t.inShapeInfos,e),iL([t.outShapeInfo],[n]));let s=n.texData.texture,i=n.texData.texShape;n.texData.isPacked?r.setOutputPackedMatrixTexture(s.texture,i[0],i[1]):r.setOutputMatrixTexture(s.texture,i[0],i[1]),r.setProgram(t.webGLProgram),z().getNumber("WEBGL_VERSION")===1&&t.infLoc!==null&&r.gl.uniform1f(t.infLoc,1/0),t.nanLoc!==null&&r.gl.uniform1f(t.nanLoc,NaN),e.forEach((u,l)=>{let c=t.program.variableNames[l],p=t.uniformLocations[c],m=t.uniformLocations[`offset${c}`],f=t.inShapesLocations[`${c}Shape`],d=t.inTexShapesLocations[`${c}TexShape`];if(f){let{uniformShape:h}=Tw(t.program.packedInputs,u.shape,u.texData.texShape);switch(h.length){case 1:r.gl.uniform1iv(f,new Int32Array(h));break;case 2:r.gl.uniform2iv(f,new Int32Array(h));break;case 3:r.gl.uniform3iv(f,new Int32Array(h));break;case 4:r.gl.uniform4iv(f,new Int32Array(h));break;default:break}}if(d&&r.gl.uniform2i(d,u.texData.texShape[0],u.texData.texShape[1]),p!=null){if(u.isUniform){if(y.sizeFromShape(u.shape)<2)r.gl.uniform1f(p,u.uniformValues[0]);else{let h=u.uniformValues;h instanceof Float32Array||(h=new Float32Array(h)),r.gl.uniform1fv(p,h)}return}u.texData.slice!=null&&m!=null&&r.gl.uniform1i(m,u.texData.slice.flatOffset),r.setInputMatrixTexture(u.texData.texture.texture,p,l)}});let a=t.outShapeLocation;if(a)switch(n.shape.length){case 1:r.gl.uniform1iv(a,new Int32Array(n.shape));break;case 2:r.gl.uniform2iv(a,new Int32Array(n.shape));break;case 3:r.gl.uniform3iv(a,new Int32Array(n.shape));break;case 4:r.gl.uniform4iv(a,new Int32Array(n.shape));break;default:break}if(t.outShapeStridesLocation){let u=y.computeStrides(n.shape);switch(n.shape.length){case 2:r.gl.uniform1iv(t.outShapeStridesLocation,new Int32Array(u));break;case 3:r.gl.uniform2iv(t.outShapeStridesLocation,new Int32Array(u));break;case 4:r.gl.uniform3iv(t.outShapeStridesLocation,new Int32Array(u));break;default:break}}t.outTexShapeLocation&&r.gl.uniform2i(t.outTexShapeLocation,n.texData.texShape[0],n.texData.texShape[1]),t.program.customUniforms&&o&&t.program.customUniforms.forEach((u,l)=>{let c=t.customUniformLocations[l],p=o[l];if(u.type==="float")r.gl.uniform1fv(c,p);else if(u.type==="vec2")r.gl.uniform2fv(c,p);else if(u.type==="vec3")r.gl.uniform3fv(c,p);else if(u.type==="vec4")r.gl.uniform4fv(c,p);else if(u.type==="int")r.gl.uniform1iv(c,p);else if(u.type==="ivec2")r.gl.uniform2iv(c,p);else if(u.type==="ivec3")r.gl.uniform3iv(c,p);else if(u.type==="ivec4")r.gl.uniform4iv(c,p);else throw Error(`uniform type ${u.type} is not supported yet.`)}),r.executeProgram()}function uL(r,t,e){let n="";t.concat(e).forEach(i=>{let a=i.texData!=null&&i.texData.slice!=null&&i.texData.slice.flatOffset>0;if(r.enableShapeUniforms&&!i.isUniform){let u=i.texData.texShape,{useSqueezeShape:l,uniformShape:c,keptDims:p}=Tw(r.packedInputs,i.shape,u),m="",f="",d="";if(c.length===1&&r.packedInputs){let N=[Math.ceil(u[0]/2),Math.ceil(u[1]/2)];m=`${N[0]>1}_${N[1]>1}`}else if(c.length===2&&!r.packedInputs)f=`${c[0]>1}_${c[1]>1}`;else if(c.length>2&&!r.packedInputs){let N=y.computeStrides(c);d=`${N[0]===u[1]}_${N[N.length-1]===u[1]}`}let h=i.shape.length,g=c.length===2&&y.arraysEqual(i.shape,u),x=y.sizeFromShape(i.shape)===1,b=v.getBroadcastDims(i.shape,e.shape),w=!r.packedInputs&&h===e.shape.length&&y.arraysEqual(u,e.texData.texShape),C=r.packedInputs||c.length>2?"":`${u[0]>1}_${u[1]>1}`;n+=`${h}_${w}_${l?p:""}_${c.length}_${x}_${b}_${g}_${m}_${f}_${d}_${C}_${a}`}else{let u=i.isUniform?"uniform":i.texData.texShape;n+=`${i.shape}_${u}_${a}`}});let o=r.userCode,s=r.constructor.name;return s+="_"+n+"_"+o+`${z().getNumber("WEBGL_VERSION")}`,s}function we(r){return z().getBool("WEBGL_USE_SHAPES_UNIFORMS")&&r<=4}var kw=class{constructor(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=ku.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];let e=Ge();this.outputShape=t,this.enableShapeUniforms=we(this.outputShape.length),this.userCode=` ivec3 outCoordsFromFlatIndex(int index) { - ${this.enableShapeUniforms?Mc(["r","c","d"],t):Js(["r","c","d"],t)} + ${this.enableShapeUniforms?Mc(["r","c","d"],t):ti(["r","c","d"],t)} return ivec3(r, c, d); } @@ -1003,9 +1004,9 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ${e.output} = result; } - `}};var Iw=class{constructor(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=ku.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];let e=Ve();this.outputShape=t,this.enableShapeUniforms=we(this.outputShape.length),this.userCode=` + `}};var Ew=class{constructor(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=ku.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];let e=Ge();this.outputShape=t,this.enableShapeUniforms=we(this.outputShape.length),this.userCode=` ivec3 outCoordsFromFlatIndex(int index) { - ${this.enableShapeUniforms?Mc(["r","c","d"],t):Js(["r","c","d"],t)} + ${this.enableShapeUniforms?Mc(["r","c","d"],t):ti(["r","c","d"],t)} return ivec3(r, c, d); } @@ -1023,52 +1024,45 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ${e.output} = result; } - `}};var vw=class{constructor(t){this.variableNames=["A"],this.outTexUsage=Kr.DOWNLOAD;let e=Ve();this.outputShape=t,this.userCode=` - ${bw} + `}};var _w=class{constructor(t){this.variableNames=["A"],this.outTexUsage=jr.DOWNLOAD;let e=Ge();this.outputShape=t,this.userCode=` + ${Nw} void main() { float x = getAAtOutCoords(); ${e.output} = encode_float(x); } - `}};var Sw=class{constructor(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=Kr.DOWNLOAD;let e=Ve();this.outputShape=t,this.userCode=` - ${bw} + `}};var Aw=class{constructor(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=jr.DOWNLOAD;let e=Ge();this.outputShape=t,this.userCode=` + ${Nw} void main() { ivec3 coords = getOutputCoords(); float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z)); ${e.output} = encode_float(x); } - `}};var Nw=class{constructor(t,e=!1){this.variableNames=["A"],this.customUniforms=[{name:"texShape",type:"ivec2"}];let n=Ve();this.outputShape=t,this.enableShapeUniforms=we(this.outputShape.length);let o="result";e&&(o="floor(result * 255. + 0.5)"),this.userCode=` - ${this.enableShapeUniforms?md():pd(t)} + `}};var Qtt={R:0,G:1,B:2,A:3},Jh=class{constructor(t,e=!1,n="RGBA"){this.variableNames=["A"],this.customUniforms=[{name:"texShape",type:"ivec2"}];let o=Ge();this.outputShape=t,this.enableShapeUniforms=we(this.outputShape.length);let s="result";e&&(s="floor(result * 255. + 0.5)");let i="";for(let a=0;aKk,createBufferFromOutputTexture:()=>Yk,createFloat16MatrixTexture:()=>Wk,createFloat16PackedMatrixTexture:()=>qk,createFloat32MatrixTexture:()=>Gk,createIndexBuffer:()=>Vk,createPackedMatrixTexture:()=>Hk,createUnsignedBytesMatrixTexture:()=>Uk,createVertexBuffer:()=>Bk,createVertexShader:()=>zk,downloadByteEncodedFloatMatrixFromOutputTexture:()=>Jk,downloadFloat32MatrixFromBuffer:()=>Zk,downloadMatrixFromPackedOutputTexture:()=>tT,downloadPackedMatrixFromBuffer:()=>Qk,getInternalFormatForFloat16MatrixTexture:()=>Ew,getInternalFormatForFloat16PackedMatrixTexture:()=>$w,getInternalFormatForFloat32MatrixTexture:()=>Tw,getInternalFormatForPackedMatrixTexture:()=>Aw,getInternalFormatForUnsignedBytesMatrixTexture:()=>_w,uploadDenseMatrixToTexture:()=>jk,uploadPixelDataToTexture:()=>Xk});function zk(r){let t=Ve(),e=`${t.version} + `}};var ik={};Wt(ik,{bindVertexProgramAttributeStreams:()=>JT,createBufferFromOutputTexture:()=>ek,createFloat16MatrixTexture:()=>jT,createFloat16PackedMatrixTexture:()=>ZT,createFloat32MatrixTexture:()=>KT,createIndexBuffer:()=>qT,createPackedMatrixTexture:()=>YT,createUnsignedBytesMatrixTexture:()=>XT,createVertexBuffer:()=>HT,createVertexShader:()=>UT,downloadByteEncodedFloatMatrixFromOutputTexture:()=>nk,downloadFloat32MatrixFromBuffer:()=>rk,downloadMatrixFromPackedOutputTexture:()=>sk,downloadPackedMatrixFromBuffer:()=>ok,getInternalFormatForFloat16MatrixTexture:()=>Rw,getInternalFormatForFloat16PackedMatrixTexture:()=>Pw,getInternalFormatForFloat32MatrixTexture:()=>Dw,getInternalFormatForPackedMatrixTexture:()=>Ow,getInternalFormatForUnsignedBytesMatrixTexture:()=>Fw,uploadDenseMatrixToTexture:()=>QT,uploadPixelDataToTexture:()=>tk});function UT(r){let t=Ge(),e=`${t.version} precision highp float; ${t.attribute} vec3 clipSpacePos; ${t.attribute} vec2 uv; @@ -1121,7 +1115,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, void main() { gl_Position = vec4(clipSpacePos, 1); resultUV = uv; - }`;return bk(r,e)}function Bk(r){let t=new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]);return vk(r,t)}function Vk(r){let t=new Uint16Array([0,1,2,2,1,3]);return Sk(r,t)}function jh(r,t,e,n,o,s){kk(t,e);let i=Nk(r),a=r.TEXTURE_2D;return yt(r,()=>r.bindTexture(a,i)),yt(r,()=>r.texParameteri(a,r.TEXTURE_WRAP_S,r.CLAMP_TO_EDGE)),yt(r,()=>r.texParameteri(a,r.TEXTURE_WRAP_T,r.CLAMP_TO_EDGE)),yt(r,()=>r.texParameteri(a,r.TEXTURE_MIN_FILTER,r.NEAREST)),yt(r,()=>r.texParameteri(a,r.TEXTURE_MAG_FILTER,r.NEAREST)),M().getNumber("WEBGL_VERSION")===1?yt(r,()=>r.texImage2D(a,0,n,t,e,0,o,s,null)):yt(r,()=>r.texStorage2D(a,1,n,t,e)),yt(r,()=>r.bindTexture(r.TEXTURE_2D,null)),{texture:i,texShape:[e,t]}}function Tw(r){return r.internalFormatFloat}function Gk(r,t,e,n){let[o,s]=Lc(t,e);return jh(r,o,s,Tw(n),n.textureFormatFloat,r.FLOAT)}function Ew(r){return r.internalFormatHalfFloat}function Wk(r,t,e,n){let[o,s]=Lc(t,e);return jh(r,o,s,Ew(n),n.textureFormatFloat,n.textureTypeHalfFloat)}function _w(r){return r.downloadTextureFormat}function Uk(r,t,e,n){let[o,s]=Lc(t,e);return jh(r,o,s,_w(n),r.RGBA,r.UNSIGNED_BYTE)}function Aw(r){return r.internalFormatPackedFloat}function Hk(r,t,e,n){let[o,s]=Ki(t,e);return jh(r,o,s,Aw(n),r.RGBA,r.FLOAT)}function $w(r){return r.internalFormatPackedHalfFloat}function qk(r,t,e,n){let[o,s]=Ki(t,e);return jh(r,o,s,$w(n),r.RGBA,n.textureTypeHalfFloat)}function Kk(r,t,e){return yt(r,()=>r.bindBuffer(r.ARRAY_BUFFER,e)),gw(r,t,"clipSpacePos",e,3,20,0)&&gw(r,t,"uv",e,2,20,12)}function jk(r,t,e,n,o,s){yt(r,()=>r.bindTexture(r.TEXTURE_2D,t));let i,a,u;o instanceof Uint8Array?(i=new Uint8Array(e*n*4),a=r.UNSIGNED_BYTE,u=r.RGBA):(i=new Float32Array(e*n*4),a=r.FLOAT,u=s.internalFormatPackedFloat),i.set(o),M().getNumber("WEBGL_VERSION")===2?yt(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,e,n,r.RGBA,a,i)):yt(r,()=>r.texImage2D(r.TEXTURE_2D,0,u,e,n,0,r.RGBA,a,i)),yt(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function Xk(r,t,e){yt(r,()=>r.bindTexture(r.TEXTURE_2D,t)),e.data instanceof Uint8Array?M().getNumber("WEBGL_VERSION")===2?yt(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,e.width,e.height,r.RGBA,r.UNSIGNED_BYTE,e.data)):yt(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,e.width,e.height,0,r.RGBA,r.UNSIGNED_BYTE,e.data)):M().getNumber("WEBGL_VERSION")===2?yt(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,e)):yt(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,r.RGBA,r.UNSIGNED_BYTE,e)),yt(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function Yk(r,t,e,n){let o=r.createBuffer();yt(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,o));let a=4*4*t*e;return yt(r,()=>r.bufferData(r.PIXEL_PACK_BUFFER,a,r.STREAM_READ)),yt(r,()=>r.readPixels(0,0,e,t,r.RGBA,r.FLOAT,0)),yt(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,null)),o}function Zk(r,t,e){let n=r,o=new Float32Array(e);return n.bindBuffer(n.PIXEL_PACK_BUFFER,t),n.getBufferSubData(n.PIXEL_PACK_BUFFER,0,o),n.bindBuffer(n.PIXEL_PACK_BUFFER,null),o}function Jk(r,t,e,n){let[o,s]=Lc(t,e),i=4,a=new Uint8Array(BP(t*e,i));return yt(r,()=>r.readPixels(0,0,o,s,n.downloadTextureFormat,r.UNSIGNED_BYTE,a)),new Float32Array(a.buffer)}function Qk(r,t,e,n,o,s,i,a){let u=r,l=new Float32Array(VP(s,i));return u.bindBuffer(u.PIXEL_PACK_BUFFER,t),u.getBufferSubData(u.PIXEL_PACK_BUFFER,0,l),u.bindBuffer(u.PIXEL_PACK_BUFFER,null),l}function tT(r,t,e){let n=new Float32Array(t*e*4);return yt(r,()=>r.readPixels(0,0,e,t,r.RGBA,r.FLOAT,n)),n}var Bc=class{constructor(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];let e=M().getNumber("WEBGL_VERSION");t!=null?(this.gl=t,hk(e,t)):this.gl=Bn(e);let n="WEBGL_color_buffer_float",o="EXT_color_buffer_half_float";if(this.parallelCompilationExtension=this.gl.getExtension("KHR_parallel_shader_compile"),M().getNumber("WEBGL_VERSION")===1){let s="OES_texture_float",i="OES_texture_half_float";if(this.textureFloatExtension=ld(this.gl,s),Vn(this.gl,i))this.textureHalfFloatExtension=ld(this.gl,i);else if(M().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(n),Vn(this.gl,o))this.colorBufferHalfFloatExtension=ld(this.gl,o);else if(M().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(n="EXT_color_buffer_float",Vn(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else if(Vn(this.gl,o))this.colorBufferHalfFloatExtension=this.gl.getExtension(o);else throw new Error("GL context does not support color renderable floats");this.vertexBuffer=Bk(this.gl),this.indexBuffer=Vk(this.gl),this.framebuffer=Tk(this.gl),this.textureConfig=Uh(this.gl,this.textureHalfFloatExtension)}get debug(){return M().getBool("DEBUG")}dispose(){if(this.disposed)return;this.program!=null&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),this.outputTexture!=null&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture. This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");let t=this.gl;yt(t,()=>t.finish()),yt(t,()=>t.bindFramebuffer(t.FRAMEBUFFER,null)),yt(t,()=>t.deleteFramebuffer(this.framebuffer)),yt(t,()=>t.bindBuffer(t.ARRAY_BUFFER,null)),yt(t,()=>t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null)),yt(t,()=>t.deleteBuffer(this.indexBuffer)),this.disposed=!0}createFloat32MatrixTexture(t,e){return this.throwIfDisposed(),Gk(this.gl,t,e,this.textureConfig)}createFloat16MatrixTexture(t,e){return this.throwIfDisposed(),Wk(this.gl,t,e,this.textureConfig)}createUnsignedBytesMatrixTexture(t,e){return this.throwIfDisposed(),Uk(this.gl,t,e,this.textureConfig)}uploadPixelDataToTexture(t,e){this.throwIfDisposed(),Xk(this.gl,t,e)}uploadDenseMatrixToTexture(t,e,n,o){this.throwIfDisposed(),jk(this.gl,t,e,n,o,this.textureConfig)}createFloat16PackedMatrixTexture(t,e){return this.throwIfDisposed(),qk(this.gl,t,e,this.textureConfig)}createPackedMatrixTexture(t,e){return this.throwIfDisposed(),Hk(this.gl,t,e,this.textureConfig)}deleteMatrixTexture(t){this.throwIfDisposed(),this.outputTexture===t&&(xw(this.gl,this.framebuffer),this.outputTexture=null),yt(this.gl,()=>this.gl.deleteTexture(t))}downloadByteEncodedFloatMatrixFromOutputTexture(t,e,n){return this.downloadMatrixDriver(t,()=>Jk(this.gl,e,n,this.textureConfig))}downloadPackedMatrixFromBuffer(t,e,n,o,s,i){return Qk(this.gl,t,e,n,o,s,i,this.textureConfig)}downloadFloat32MatrixFromBuffer(t,e){return Zk(this.gl,t,e)}createBufferFromTexture(t,e,n){this.bindTextureToFrameBuffer(t);let o=Yk(this.gl,e,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),o}createAndWaitForFence(){let t=this.createFence(this.gl);return this.pollFence(t)}createFence(t){let e,n;if(M().getBool("WEBGL_FENCE_API_ENABLED")){let o=t,s=o.fenceSync(o.SYNC_GPU_COMMANDS_COMPLETE,0);t.flush(),n=()=>{let i=o.clientWaitSync(s,0,0);return i===o.ALREADY_SIGNALED||i===o.CONDITION_SATISFIED},e=s}else M().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(e=this.beginQuery(),this.endQuery(),n=()=>this.isQueryAvailable(e,M().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))):n=()=>!0;return{query:e,isFencePassed:n}}downloadMatrixFromPackedTexture(t,e,n){return this.downloadMatrixDriver(t,()=>tT(this.gl,e,n))}createProgram(t){this.throwIfDisposed();let e=this.gl;this.vertexShader==null&&(this.vertexShader=zk(e));let n=Ck(e);return yt(e,()=>e.attachShader(n,this.vertexShader)),yt(e,()=>e.attachShader(n,t)),Ik(e,n),this.debug&&Hh(e,n),this.vertexAttrsAreBound||(this.setProgram(n),this.vertexAttrsAreBound=Kk(e,this.program,this.vertexBuffer)),n}deleteProgram(t){this.throwIfDisposed(),t===this.program&&(this.program=null),t!=null&&yt(this.gl,()=>this.gl.deleteProgram(t))}setProgram(t){this.throwIfDisposed(),this.program=t,this.program!=null&&this.debug&&Hh(this.gl,this.program),yt(this.gl,()=>this.gl.useProgram(t))}getUniformLocation(t,e,n=!0){return this.throwIfDisposed(),n?Ek(this.gl,t,e):_k(this.gl,t,e)}getAttributeLocation(t,e){return this.throwIfDisposed(),yt(this.gl,()=>this.gl.getAttribLocation(t,e))}getUniformLocationNoThrow(t,e){return this.throwIfDisposed(),this.gl.getUniformLocation(t,e)}setInputMatrixTexture(t,e,n){this.throwIfDisposed(),this.throwIfNoProgram(),Ak(this.gl,t,e,n)}setOutputMatrixTexture(t,e,n){this.setOutputMatrixTextureDriver(t,n,e)}setOutputPackedMatrixTexture(t,e,n){this.throwIfDisposed();let[o,s]=Ki(e,n);this.setOutputMatrixTextureDriver(t,o,s)}setOutputMatrixWriteRegion(t,e,n,o){this.setOutputMatrixWriteRegionDriver(n,t,o,e)}setOutputPackedMatrixWriteRegion(t,e,n,o){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")}debugValidate(){this.program!=null&&Hh(this.gl,this.program),ud(this.gl)}executeProgram(){this.throwIfDisposed(),this.throwIfNoProgram();let t=this.gl;this.debug&&this.debugValidate(),yt(t,()=>t.drawElements(t.TRIANGLES,6,t.UNSIGNED_SHORT,0))}blockUntilAllProgramsCompleted(){this.throwIfDisposed(),yt(this.gl,()=>this.gl.finish())}getQueryTimerExtension(){return this.disjointQueryTimerExtension==null&&(this.disjointQueryTimerExtension=ld(this.gl,M().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension}getQueryTimerExtensionWebGL2(){return this.getQueryTimerExtension()}getQueryTimerExtensionWebGL1(){return this.getQueryTimerExtension()}beginQuery(){if(M().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){let n=this.gl,o=this.getQueryTimerExtensionWebGL2(),s=n.createQuery();return n.beginQuery(o.TIME_ELAPSED_EXT,s),s}let t=this.getQueryTimerExtensionWebGL1(),e=t.createQueryEXT();return t.beginQueryEXT(t.TIME_ELAPSED_EXT,e),e}endQuery(){if(M().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){let e=this.gl,n=this.getQueryTimerExtensionWebGL2();e.endQuery(n.TIME_ELAPSED_EXT);return}let t=this.getQueryTimerExtensionWebGL1();t.endQueryEXT(t.TIME_ELAPSED_EXT)}async waitForQueryAndGetTime(t){return await y.repeatedTry(()=>this.disposed||this.isQueryAvailable(t,M().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))),this.getQueryTime(t,M().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}getQueryTime(t,e){if(e===0)return null;if(e===2){let n=this.gl;return n.getQueryParameter(t,n.QUERY_RESULT)/1e6}else{let n=this.getQueryTimerExtensionWebGL1();return n.getQueryObjectEXT(t,n.QUERY_RESULT_EXT)/1e6}}isQueryAvailable(t,e){if(e===0)return!0;if(e===2){let n=this.gl,o=this.getQueryTimerExtensionWebGL2(),s=n.getQueryParameter(t,n.QUERY_RESULT_AVAILABLE);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(o.GPU_DISJOINT_EXT)),s&&!this.disjoint}else{let n=this.getQueryTimerExtensionWebGL1(),o=n.getQueryObjectEXT(t,n.QUERY_RESULT_AVAILABLE_EXT);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(n.GPU_DISJOINT_EXT)),o&&!this.disjoint}}pollFence(t){return new Promise(e=>{this.addItemToPoll(()=>t.isFencePassed(),()=>e())})}pollItems(){let t=Ltt(this.itemsToPoll.map(e=>e.isDoneFn));for(let e=0;e<=t;++e){let{resolveFn:n}=this.itemsToPoll[e];n()}this.itemsToPoll=this.itemsToPoll.slice(t+1)}addItemToPoll(t,e){if(this.itemsToPoll.push({isDoneFn:t,resolveFn:e}),this.itemsToPoll.length>1)return;let n;"setTimeoutCustom"in M().platform&&(n=M().platform.setTimeoutCustom.bind(M().platform)),y.repeatedTry(()=>(this.pollItems(),this.itemsToPoll.length===0),()=>0,null,n)}bindTextureToFrameBuffer(t){this.throwIfDisposed(),qh(this.gl,t,this.framebuffer),this.debug&&ud(this.gl)}unbindTextureToFrameBuffer(){this.outputTexture!=null?(qh(this.gl,this.outputTexture,this.framebuffer),this.debug&&ud(this.gl)):xw(this.gl,this.framebuffer)}downloadMatrixDriver(t,e){this.bindTextureToFrameBuffer(t);let n=e();return this.unbindTextureToFrameBuffer(),n}setOutputMatrixTextureDriver(t,e,n){this.throwIfDisposed();let o=this.gl;qh(o,t,this.framebuffer),this.debug&&ud(o),this.outputTexture=t,yt(o,()=>o.viewport(0,0,e,n)),yt(o,()=>o.scissor(0,0,e,n))}setOutputMatrixWriteRegionDriver(t,e,n,o){this.throwIfDisposed(),yt(this.gl,()=>this.gl.scissor(t,e,n,o))}throwIfDisposed(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")}throwIfNoProgram(){if(this.program==null)throw new Error("No GPU program is currently set.")}};function Ltt(r){let t=0;for(;t`${r}.${e}`)}function Qe(r,t){return t===1?[r]:rT(r,t)}function WL(r,t){if(r===1)return"rc";let e="";for(let n=0;nr.bindTexture(a,i)),yt(r,()=>r.texParameteri(a,r.TEXTURE_WRAP_S,r.CLAMP_TO_EDGE)),yt(r,()=>r.texParameteri(a,r.TEXTURE_WRAP_T,r.CLAMP_TO_EDGE)),yt(r,()=>r.texParameteri(a,r.TEXTURE_MIN_FILTER,r.NEAREST)),yt(r,()=>r.texParameteri(a,r.TEXTURE_MAG_FILTER,r.NEAREST)),z().getNumber("WEBGL_VERSION")===1?yt(r,()=>r.texImage2D(a,0,n,t,e,0,o,s,null)):yt(r,()=>r.texStorage2D(a,1,n,t,e)),yt(r,()=>r.bindTexture(r.TEXTURE_2D,null)),{texture:i,texShape:[e,t]}}function Dw(r){return r.internalFormatFloat}function KT(r,t,e,n){let[o,s]=Lc(t,e);return Qh(r,o,s,Dw(n),n.textureFormatFloat,r.FLOAT)}function Rw(r){return r.internalFormatHalfFloat}function jT(r,t,e,n){let[o,s]=Lc(t,e);return Qh(r,o,s,Rw(n),n.textureFormatFloat,n.textureTypeHalfFloat)}function Fw(r){return r.downloadTextureFormat}function XT(r,t,e,n){let[o,s]=Lc(t,e);return Qh(r,o,s,Fw(n),r.RGBA,r.UNSIGNED_BYTE)}function Ow(r){return r.internalFormatPackedFloat}function YT(r,t,e,n){let[o,s]=Xi(t,e);return Qh(r,o,s,Ow(n),r.RGBA,r.FLOAT)}function Pw(r){return r.internalFormatPackedHalfFloat}function ZT(r,t,e,n){let[o,s]=Xi(t,e);return Qh(r,o,s,Pw(n),r.RGBA,n.textureTypeHalfFloat)}function JT(r,t,e){return yt(r,()=>r.bindBuffer(r.ARRAY_BUFFER,e)),Iw(r,t,"clipSpacePos",e,3,20,0)&&Iw(r,t,"uv",e,2,20,12)}function QT(r,t,e,n,o,s){yt(r,()=>r.bindTexture(r.TEXTURE_2D,t));let i,a,u;o instanceof Uint8Array?(i=new Uint8Array(e*n*4),a=r.UNSIGNED_BYTE,u=r.RGBA):(i=new Float32Array(e*n*4),a=r.FLOAT,u=s.internalFormatPackedFloat),i.set(o),z().getNumber("WEBGL_VERSION")===2?yt(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,e,n,r.RGBA,a,i)):yt(r,()=>r.texImage2D(r.TEXTURE_2D,0,u,e,n,0,r.RGBA,a,i)),yt(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function tk(r,t,e){yt(r,()=>r.bindTexture(r.TEXTURE_2D,t)),e.data instanceof Uint8Array?z().getNumber("WEBGL_VERSION")===2?yt(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,e.width,e.height,r.RGBA,r.UNSIGNED_BYTE,e.data)):yt(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,e.width,e.height,0,r.RGBA,r.UNSIGNED_BYTE,e.data)):z().getNumber("WEBGL_VERSION")===2?yt(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,e)):yt(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,r.RGBA,r.UNSIGNED_BYTE,e)),yt(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function ek(r,t,e,n){let o=r.createBuffer();yt(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,o));let a=4*4*t*e;return yt(r,()=>r.bufferData(r.PIXEL_PACK_BUFFER,a,r.STREAM_READ)),yt(r,()=>r.readPixels(0,0,e,t,r.RGBA,r.FLOAT,0)),yt(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,null)),o}function rk(r,t,e){let n=r,o=new Float32Array(e);return n.bindBuffer(n.PIXEL_PACK_BUFFER,t),n.getBufferSubData(n.PIXEL_PACK_BUFFER,0,o),n.bindBuffer(n.PIXEL_PACK_BUFFER,null),o}function nk(r,t,e,n){let[o,s]=Lc(t,e),i=4,a=new Uint8Array(XP(t*e,i));return yt(r,()=>r.readPixels(0,0,o,s,n.downloadTextureFormat,r.UNSIGNED_BYTE,a)),new Float32Array(a.buffer)}function ok(r,t,e,n,o,s,i,a){let u=r,l=new Float32Array(YP(s,i));return u.bindBuffer(u.PIXEL_PACK_BUFFER,t),u.getBufferSubData(u.PIXEL_PACK_BUFFER,0,l),u.bindBuffer(u.PIXEL_PACK_BUFFER,null),l}function sk(r,t,e){let n=new Float32Array(t*e*4);return yt(r,()=>r.readPixels(0,0,e,t,r.RGBA,r.FLOAT,n)),n}var Bc=class{constructor(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];let e=z().getNumber("WEBGL_VERSION");t!=null?(this.gl=t,wT(e,t)):this.gl=Gn(e);let n="WEBGL_color_buffer_float",o="EXT_color_buffer_half_float";if(this.parallelCompilationExtension=this.gl.getExtension("KHR_parallel_shader_compile"),z().getNumber("WEBGL_VERSION")===1){let s="OES_texture_float",i="OES_texture_half_float";if(this.textureFloatExtension=pd(this.gl,s),Wn(this.gl,i))this.textureHalfFloatExtension=pd(this.gl,i);else if(z().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(n),Wn(this.gl,o))this.colorBufferHalfFloatExtension=pd(this.gl,o);else if(z().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(n="EXT_color_buffer_float",Wn(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else if(Wn(this.gl,o))this.colorBufferHalfFloatExtension=this.gl.getExtension(o);else throw new Error("GL context does not support color renderable floats");this.vertexBuffer=HT(this.gl),this.indexBuffer=qT(this.gl),this.framebuffer=DT(this.gl),this.textureConfig=Xh(this.gl,this.textureHalfFloatExtension)}get debug(){return z().getBool("DEBUG")}dispose(){if(this.disposed)return;this.program!=null&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),this.outputTexture!=null&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture. This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");let t=this.gl;yt(t,()=>t.finish()),yt(t,()=>t.bindFramebuffer(t.FRAMEBUFFER,null)),yt(t,()=>t.deleteFramebuffer(this.framebuffer)),yt(t,()=>t.bindBuffer(t.ARRAY_BUFFER,null)),yt(t,()=>t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null)),yt(t,()=>t.deleteBuffer(this.indexBuffer)),this.disposed=!0}createFloat32MatrixTexture(t,e){return this.throwIfDisposed(),KT(this.gl,t,e,this.textureConfig)}createFloat16MatrixTexture(t,e){return this.throwIfDisposed(),jT(this.gl,t,e,this.textureConfig)}createUnsignedBytesMatrixTexture(t,e){return this.throwIfDisposed(),XT(this.gl,t,e,this.textureConfig)}uploadPixelDataToTexture(t,e){this.throwIfDisposed(),tk(this.gl,t,e)}uploadDenseMatrixToTexture(t,e,n,o){this.throwIfDisposed(),QT(this.gl,t,e,n,o,this.textureConfig)}createFloat16PackedMatrixTexture(t,e){return this.throwIfDisposed(),ZT(this.gl,t,e,this.textureConfig)}createPackedMatrixTexture(t,e){return this.throwIfDisposed(),YT(this.gl,t,e,this.textureConfig)}deleteMatrixTexture(t){this.throwIfDisposed(),this.outputTexture===t&&(Sw(this.gl,this.framebuffer),this.outputTexture=null),yt(this.gl,()=>this.gl.deleteTexture(t))}downloadByteEncodedFloatMatrixFromOutputTexture(t,e,n){return this.downloadMatrixDriver(t,()=>nk(this.gl,e,n,this.textureConfig))}downloadPackedMatrixFromBuffer(t,e,n,o,s,i){return ok(this.gl,t,e,n,o,s,i,this.textureConfig)}downloadFloat32MatrixFromBuffer(t,e){return rk(this.gl,t,e)}createBufferFromTexture(t,e,n){this.bindTextureToFrameBuffer(t);let o=ek(this.gl,e,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),o}createAndWaitForFence(){let t=this.createFence(this.gl);return this.pollFence(t)}createFence(t){let e,n;if(z().getBool("WEBGL_FENCE_API_ENABLED")){let o=t,s=o.fenceSync(o.SYNC_GPU_COMMANDS_COMPLETE,0);t.flush(),n=()=>{let i=o.clientWaitSync(s,0,0);return i===o.ALREADY_SIGNALED||i===o.CONDITION_SATISFIED},e=s}else z().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(e=this.beginQuery(),this.endQuery(),n=()=>this.isQueryAvailable(e,z().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))):n=()=>!0;return{query:e,isFencePassed:n}}downloadMatrixFromPackedTexture(t,e,n){return this.downloadMatrixDriver(t,()=>sk(this.gl,e,n))}createProgram(t){this.throwIfDisposed();let e=this.gl;this.vertexShader==null&&(this.vertexShader=UT(e));let n=TT(e);return yt(e,()=>e.attachShader(n,this.vertexShader)),yt(e,()=>e.attachShader(n,t)),kT(e,n),this.debug&&Yh(e,n),this.vertexAttrsAreBound||(this.setProgram(n),this.vertexAttrsAreBound=JT(e,this.program,this.vertexBuffer)),n}deleteProgram(t){this.throwIfDisposed(),t===this.program&&(this.program=null),t!=null&&yt(this.gl,()=>this.gl.deleteProgram(t))}setProgram(t){this.throwIfDisposed(),this.program=t,this.program!=null&&this.debug&&Yh(this.gl,this.program),yt(this.gl,()=>this.gl.useProgram(t))}getUniformLocation(t,e,n=!0){return this.throwIfDisposed(),n?RT(this.gl,t,e):FT(this.gl,t,e)}getAttributeLocation(t,e){return this.throwIfDisposed(),yt(this.gl,()=>this.gl.getAttribLocation(t,e))}getUniformLocationNoThrow(t,e){return this.throwIfDisposed(),this.gl.getUniformLocation(t,e)}setInputMatrixTexture(t,e,n){this.throwIfDisposed(),this.throwIfNoProgram(),OT(this.gl,t,e,n)}setOutputMatrixTexture(t,e,n){this.setOutputMatrixTextureDriver(t,n,e)}setOutputPackedMatrixTexture(t,e,n){this.throwIfDisposed();let[o,s]=Xi(e,n);this.setOutputMatrixTextureDriver(t,o,s)}setOutputMatrixWriteRegion(t,e,n,o){this.setOutputMatrixWriteRegionDriver(n,t,o,e)}setOutputPackedMatrixWriteRegion(t,e,n,o){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")}debugValidate(){this.program!=null&&Yh(this.gl,this.program),md(this.gl)}executeProgram(){this.throwIfDisposed(),this.throwIfNoProgram();let t=this.gl;this.debug&&this.debugValidate(),yt(t,()=>t.drawElements(t.TRIANGLES,6,t.UNSIGNED_SHORT,0))}blockUntilAllProgramsCompleted(){this.throwIfDisposed(),yt(this.gl,()=>this.gl.finish())}getQueryTimerExtension(){return this.disjointQueryTimerExtension==null&&(this.disjointQueryTimerExtension=pd(this.gl,z().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension}getQueryTimerExtensionWebGL2(){return this.getQueryTimerExtension()}getQueryTimerExtensionWebGL1(){return this.getQueryTimerExtension()}beginQuery(){if(z().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){let n=this.gl,o=this.getQueryTimerExtensionWebGL2(),s=n.createQuery();return n.beginQuery(o.TIME_ELAPSED_EXT,s),s}let t=this.getQueryTimerExtensionWebGL1(),e=t.createQueryEXT();return t.beginQueryEXT(t.TIME_ELAPSED_EXT,e),e}endQuery(){if(z().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){let e=this.gl,n=this.getQueryTimerExtensionWebGL2();e.endQuery(n.TIME_ELAPSED_EXT);return}let t=this.getQueryTimerExtensionWebGL1();t.endQueryEXT(t.TIME_ELAPSED_EXT)}async waitForQueryAndGetTime(t){return await y.repeatedTry(()=>this.disposed||this.isQueryAvailable(t,z().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))),this.getQueryTime(t,z().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}getQueryTime(t,e){if(e===0)return null;if(e===2){let n=this.gl;return n.getQueryParameter(t,n.QUERY_RESULT)/1e6}else{let n=this.getQueryTimerExtensionWebGL1();return n.getQueryObjectEXT(t,n.QUERY_RESULT_EXT)/1e6}}isQueryAvailable(t,e){if(e===0)return!0;if(e===2){let n=this.gl,o=this.getQueryTimerExtensionWebGL2(),s=n.getQueryParameter(t,n.QUERY_RESULT_AVAILABLE);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(o.GPU_DISJOINT_EXT)),s&&!this.disjoint}else{let n=this.getQueryTimerExtensionWebGL1(),o=n.getQueryObjectEXT(t,n.QUERY_RESULT_AVAILABLE_EXT);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(n.GPU_DISJOINT_EXT)),o&&!this.disjoint}}pollFence(t){return new Promise(e=>{this.addItemToPoll(()=>t.isFencePassed(),()=>e())})}pollItems(){let t=tet(this.itemsToPoll.map(e=>e.isDoneFn));for(let e=0;e<=t;++e){let{resolveFn:n}=this.itemsToPoll[e];n()}this.itemsToPoll=this.itemsToPoll.slice(t+1)}addItemToPoll(t,e){if(this.itemsToPoll.push({isDoneFn:t,resolveFn:e}),this.itemsToPoll.length>1)return;let n;"setTimeoutCustom"in z().platform&&(n=z().platform.setTimeoutCustom.bind(z().platform)),y.repeatedTry(()=>(this.pollItems(),this.itemsToPoll.length===0),()=>0,null,n)}bindTextureToFrameBuffer(t){this.throwIfDisposed(),Zh(this.gl,t,this.framebuffer),this.debug&&md(this.gl)}unbindTextureToFrameBuffer(){this.outputTexture!=null?(Zh(this.gl,this.outputTexture,this.framebuffer),this.debug&&md(this.gl)):Sw(this.gl,this.framebuffer)}downloadMatrixDriver(t,e){this.bindTextureToFrameBuffer(t);let n=e();return this.unbindTextureToFrameBuffer(),n}setOutputMatrixTextureDriver(t,e,n){this.throwIfDisposed();let o=this.gl;Zh(o,t,this.framebuffer),this.debug&&md(o),this.outputTexture=t,yt(o,()=>o.viewport(0,0,e,n)),yt(o,()=>o.scissor(0,0,e,n))}setOutputMatrixWriteRegionDriver(t,e,n,o){this.throwIfDisposed(),yt(this.gl,()=>this.gl.scissor(t,e,n,o))}throwIfDisposed(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")}throwIfNoProgram(){if(this.program==null)throw new Error("No GPU program is currently set.")}};function tet(r){let t=0;for(;t`${r}.${e}`)}function Qe(r,t){return t===1?[r]:ak(r,t)}function QL(r,t){if(r===1)return"rc";let e="";for(let n=0;n= ${this.enableShapeUniforms?"outShape":this.outputShape[0]} ? 0. : getA(rc + 1)), 0, 0`:`getA(${e[0]}), cEdge ? 0. : getA(${e[1]}), rEdge ? 0. : getA(${e[2]}), - rEdge || cEdge ? 0. : getA(${e[3]})`}};var yd=class{constructor(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=t,this.enableShapeUniforms=we(this.outputShape.length);let n="";for(let o=0;o<4;o++){let s="thisRC = rc;";o%2===1&&(s+="thisRC.z += 1;"),o>1&&(s+="thisRC.y += 1;"),n+=` + rEdge || cEdge ? 0. : getA(${e[3]})`}};var Id=class{constructor(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=t,this.enableShapeUniforms=we(this.outputShape.length);let n="";for(let o=0;o<4;o++){let s="thisRC = rc;";o%2===1&&(s+="thisRC.z += 1;"),o>1&&(s+="thisRC.y += 1;"),n+=` ${s} ${o>0?"if(thisRC.y < rows && thisRC.z < cols){":""} int flatIndex = getFlatIndex(thisRC); @@ -1160,8 +1154,8 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims); ${o>0?"}":""} `}this.userCode=` - ${Mtt(e,this.enableShapeUniforms)} - ${this.enableShapeUniforms?md():pd(t)} + ${eet(e,this.enableShapeUniforms)} + ${this.enableShapeUniforms?gd():hd(t)} void main() { ivec3 rc = getOutputCoords(); @@ -1176,12 +1170,12 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, setOutput(result); } - `}};function Mtt(r,t){return` + `}};function eet(r,t){return` ivec3 inputCoordsFromReshapedOutCoords(int index) { - ${t?qP(["r","c","d"],"inputShape"):Js(["r","c","d"],r)} + ${t?eL(["r","c","d"],"inputShape"):ti(["r","c","d"],r)} return ivec3(r, c, d); } - `}var Pw=class{constructor(t){this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}acquireTexture(t,e,n){let o=HL(e,n),s=qL(t,o,n);s in this.freeTextures||(this.freeTextures[s]=[]),s in this.usedTextures||(this.usedTextures[s]=[]);let i=UL(t,o,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[s].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=i,this.log();let u=this.freeTextures[s].shift();return this.usedTextures[s].push(u),u}let a;return o===Fr.PACKED_2X2_FLOAT32?a=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):o===Fr.PACKED_2X2_FLOAT16?a=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):o===Fr.UNPACKED_FLOAT32?a=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):o===Fr.UNPACKED_FLOAT16?a=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):o===Fr.PACKED_4X1_UNSIGNED_BYTE&&(a=this.gpgpu.createUnsignedBytesMatrixTexture(t[0],t[1])),this.usedTextures[s].push(a),this.numUsedTextures++,this._numBytesAllocated+=i,this.log(),a}releaseTexture(t,e,n,o){if(this.freeTextures==null)return;let s=HL(n,o),i=qL(e,s,o);i in this.freeTextures||(this.freeTextures[i]=[]);let a=UL(e,s,this.gpgpu.gl,this.gpgpu.textureConfig,o),u=M().get("WEBGL_DELETE_TEXTURE_THRESHOLD");u!==-1&&this._numBytesAllocated>u?(this.gpgpu.deleteMatrixTexture(t.texture),this._numBytesAllocated-=a):(this.freeTextures[i].push(t),this.numFreeTextures++,this._numBytesFree+=a),this.numUsedTextures--;let l=this.usedTextures[i],c=l.indexOf(t);if(c<0)throw new Error("Cannot release a texture that was never provided by this texture manager");l.splice(c,1),this.log()}log(){if(!this.logEnabled)return;let t=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",`${this.numFreeTextures} / ${this.numUsedTextures}`,`(${t})`);let e=this._numBytesFree/this._numBytesAllocated;console.log(`Bytes allocated: ${this._numBytesAllocated}`),console.log(`Bytes unused: ${this._numBytesFree} (${Math.round(100*e)}%)`)}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(this.freeTextures!=null){for(let t in this.freeTextures)this.freeTextures[t].forEach(e=>{this.gpgpu.deleteMatrixTexture(e.texture)});for(let t in this.usedTextures)this.usedTextures[t].forEach(e=>{this.gpgpu.deleteMatrixTexture(e.texture)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}};function ztt(r,t){let e=r;if(t===e.R32F)return 4;if(t===e.R16F)return 2;if(t===e.RGBA32F)return 16;if(t===r.RGBA)return 16;if(t===e.RGBA16F)return 8;if(t===e.RGBA8)return 4;throw new Error(`Unknown internal format ${t}`)}function UL(r,t,e,n,o){let s=Btt(t,n),i;if(o){let[u,l]=Ki(r[0],r[1]);i=u*l}else{let[u,l]=Lc(r[0],r[1]);i=u*l}let a=ztt(e,s);return i*a}function Btt(r,t){switch(r){case Fr.PACKED_2X2_FLOAT32:return Aw(t);case Fr.PACKED_2X2_FLOAT16:return $w(t);case Fr.UNPACKED_FLOAT32:return Tw(t);case Fr.UNPACKED_FLOAT16:return Ew(t);case Fr.PACKED_4X1_UNSIGNED_BYTE:return _w(t);default:throw new Error(`Unknown physical texture type ${r}`)}}function Vtt(r){return M().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?r?Fr.PACKED_2X2_FLOAT32:Fr.UNPACKED_FLOAT32:r?Fr.PACKED_2X2_FLOAT16:Fr.UNPACKED_FLOAT16}function HL(r,t){if(r===Kr.UPLOAD)return Fr.PACKED_2X2_FLOAT32;if(r===Kr.RENDER||r==null)return Vtt(t);if(r===Kr.DOWNLOAD||r===Kr.PIXELS)return Fr.PACKED_4X1_UNSIGNED_BYTE;throw new Error(`Unknown logical texture type ${r}`)}function qL(r,t,e){return`${r[0]}_${r[1]}_${t}_${e}`}var tn=class{constructor(t,e){this.variableNames=["A"],this.outputShape=t,this.enableShapeUniforms=we(this.outputShape.length),this.userCode=` + `}var Vw=class{constructor(t){this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}acquireTexture(t,e,n){let o=eM(e,n),s=rM(t,o,n);s in this.freeTextures||(this.freeTextures[s]=[]),s in this.usedTextures||(this.usedTextures[s]=[]);let i=tM(t,o,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[s].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=i,this.log();let u=this.freeTextures[s].shift();return this.usedTextures[s].push(u),u}let a;return o===Pr.PACKED_2X2_FLOAT32?a=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):o===Pr.PACKED_2X2_FLOAT16?a=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):o===Pr.UNPACKED_FLOAT32?a=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):o===Pr.UNPACKED_FLOAT16?a=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):o===Pr.PACKED_4X1_UNSIGNED_BYTE&&(a=this.gpgpu.createUnsignedBytesMatrixTexture(t[0],t[1])),this.usedTextures[s].push(a),this.numUsedTextures++,this._numBytesAllocated+=i,this.log(),a}releaseTexture(t,e,n,o){if(this.freeTextures==null)return;let s=eM(n,o),i=rM(e,s,o);i in this.freeTextures||(this.freeTextures[i]=[]);let a=tM(e,s,this.gpgpu.gl,this.gpgpu.textureConfig,o),u=z().get("WEBGL_DELETE_TEXTURE_THRESHOLD");u!==-1&&this._numBytesAllocated>u?(this.gpgpu.deleteMatrixTexture(t.texture),this._numBytesAllocated-=a):(this.freeTextures[i].push(t),this.numFreeTextures++,this._numBytesFree+=a),this.numUsedTextures--;let l=this.usedTextures[i],c=l.indexOf(t);if(c<0)throw new Error("Cannot release a texture that was never provided by this texture manager");l.splice(c,1),this.log()}log(){if(!this.logEnabled)return;let t=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",`${this.numFreeTextures} / ${this.numUsedTextures}`,`(${t})`);let e=this._numBytesFree/this._numBytesAllocated;console.log(`Bytes allocated: ${this._numBytesAllocated}`),console.log(`Bytes unused: ${this._numBytesFree} (${Math.round(100*e)}%)`)}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(this.freeTextures!=null){for(let t in this.freeTextures)this.freeTextures[t].forEach(e=>{this.gpgpu.deleteMatrixTexture(e.texture)});for(let t in this.usedTextures)this.usedTextures[t].forEach(e=>{this.gpgpu.deleteMatrixTexture(e.texture)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}};function ret(r,t){let e=r;if(t===e.R32F)return 4;if(t===e.R16F)return 2;if(t===e.RGBA32F)return 16;if(t===r.RGBA)return 16;if(t===e.RGBA16F)return 8;if(t===e.RGBA8)return 4;throw new Error(`Unknown internal format ${t}`)}function tM(r,t,e,n,o){let s=net(t,n),i;if(o){let[u,l]=Xi(r[0],r[1]);i=u*l}else{let[u,l]=Lc(r[0],r[1]);i=u*l}let a=ret(e,s);return i*a}function net(r,t){switch(r){case Pr.PACKED_2X2_FLOAT32:return Ow(t);case Pr.PACKED_2X2_FLOAT16:return Pw(t);case Pr.UNPACKED_FLOAT32:return Dw(t);case Pr.UNPACKED_FLOAT16:return Rw(t);case Pr.PACKED_4X1_UNSIGNED_BYTE:return Fw(t);default:throw new Error(`Unknown physical texture type ${r}`)}}function oet(r){return z().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?r?Pr.PACKED_2X2_FLOAT32:Pr.UNPACKED_FLOAT32:r?Pr.PACKED_2X2_FLOAT16:Pr.UNPACKED_FLOAT16}function eM(r,t){if(r===jr.UPLOAD)return Pr.PACKED_2X2_FLOAT32;if(r===jr.RENDER||r==null)return oet(t);if(r===jr.DOWNLOAD||r===jr.PIXELS)return Pr.PACKED_4X1_UNSIGNED_BYTE;throw new Error(`Unknown logical texture type ${r}`)}function rM(r,t,e){return`${r[0]}_${r[1]}_${t}_${e}`}var tn=class{constructor(t,e){this.variableNames=["A"],this.outputShape=t,this.enableShapeUniforms=we(this.outputShape.length),this.userCode=` float unaryOperation(float x) { ${e} } @@ -1192,11 +1186,11 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, setOutput(y); } - `}},pr="if (isnan(x)) return x;",KL="return x;",nT="return abs(x);";var jL="return (x >= 0.0) ? x : (exp(x) - 1.0);",XL=pr+` + `}},fr="if (isnan(x)) return x;",nM="return x;",lk="return abs(x);";var oM="return (x >= 0.0) ? x : (exp(x) - 1.0);",sM=fr+` return (x < 0.0) ? 0.0 : x; -`,YL=pr+` +`,iM=fr+` return (x < 0.0) ? 0.0 : min(6.0, x); -`,Gc="return x;",ZL="return 1.0 / (1.0 + exp(-1.0 * x));";var QL="return x;",tM=` +`,Gc="return x;",aM="return 1.0 / (1.0 + exp(-1.0 * x));";var uM="return x;",cM=` vec4 result; result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0); @@ -1205,7 +1199,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0); return result; -`,eM=` +`,pM=` vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0))); bvec4 isNaN = isnan(x); @@ -1215,7 +1209,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, result.a = isNaN.a ? x.a : result.a; return result; -`,rM=` +`,mM=` vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0))); bvec4 isNaN = isnan(x); @@ -1225,7 +1219,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, result.a = isNaN.a ? x.a : result.a; return result; -`,nM="return 1.0 / (1.0 + exp(-1.0 * x));",no=class{constructor(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.enableShapeUniforms=we(this.outputShape.length),this.userCode=` +`,fM="return 1.0 / (1.0 + exp(-1.0 * x));",so=class{constructor(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.enableShapeUniforms=we(this.outputShape.length),this.userCode=` vec4 unaryOperation(vec4 x) { ${e} } @@ -1236,17 +1230,17 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, setOutput(y); } - `}};var Lw=class{constructor(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t,this.enableShapeUniforms=we(this.outputShape.length);let e=t.length,n=Qe("rc",e),o=zt(e),s=WL(e,n),i=n.slice(-2),a=e<=1?"rc":`vec2(${i.join(",")})`;this.userCode=` + `}};var Gw=class{constructor(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t,this.enableShapeUniforms=we(this.outputShape.length);let e=t.length,n=Qe("rc",e),o=zt(e),s=QL(e,n),i=n.slice(-2),a=e<=1?"rc":`vec2(${i.join(",")})`;this.userCode=` void main() { ${o} rc = getOutputCoords(); vec4 packedInput = getA(${s}); setOutput(getChannel(packedInput, ${a})); } - `}};var Wtt=Wr.whereImpl,Utt=1e-7,Htt=1e-4,Mw={};function qtt(r){return r in Mw||(Mw[r]={}),Mw[r]}var Ktt=M().getNumber("CPU_HANDOFF_SIZE_THRESHOLD"),jtt=600;function Xtt(){return M().global.screen==null?1024:M().global.screen.height*M().global.screen.width*window.devicePixelRatio*jtt/1024/1024}var Eu=class extends Mo{constructor(t){if(super(),this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.lastGlFlushTime=0,this.warnedAboutMemory=!1,this.pendingDeletes=0,this.disposed=!1,!M().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");let e;if(t!=null){if(t instanceof Bc)e=t;else{let n=Bn(M().getNumber("WEBGL_VERSION"),t);e=new Bc(n)}this.binaryCache={},this.gpgpuCreatedLocally=!1}else{let n=Bn(M().getNumber("WEBGL_VERSION"));e=new Bc(n),this.binaryCache=qtt(M().getNumber("WEBGL_VERSION")),this.gpgpuCreatedLocally=!0}this.gpgpu=e,this.canvas=this.gpgpu.gl.canvas,this.textureManager=new Pw(this.gpgpu),this.numMBBeforeWarning=Xtt(),this.texData=new ta(this,ho())}nextDataId(){return Eu.nextDataId++}numDataIds(){return this.texData.numDataIds()-this.pendingDeletes}write(t,e,n){if((M().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||M().getBool("DEBUG"))&&this.checkNumericalProblems(t),n==="complex64"&&t!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");let o={id:this.nextDataId()};return this.texData.set(o,{shape:e,dtype:n,values:t,usage:Kr.UPLOAD,refCount:1}),o}refCount(t){return this.texData.has(t)?this.texData.get(t).refCount:0}incRef(t){let e=this.texData.get(t);e.refCount++}decRef(t){if(this.texData.has(t)){let e=this.texData.get(t);e.refCount--}}move(t,e,n,o,s){if(M().getBool("DEBUG")&&this.checkNumericalProblems(e),o==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(t,{shape:n,dtype:o,values:e,usage:Kr.UPLOAD,refCount:s})}disposeIntermediateTensorInfo(t){this.disposeData(t.dataId)}readSync(t){let e=this.texData.get(t),{values:n,dtype:o,complexTensorInfos:s,slice:i,shape:a,isPacked:u}=e;if(i!=null){let m;u?m=new no(a,Gc):m=new tn(a,Gc);let f=this.runWebGLProgram(m,[{dataId:t,shape:a,dtype:o}],o),d=this.readSync(f.dataId);return this.disposeIntermediateTensorInfo(f),d}if(n!=null)return this.convertAndCacheOnCPU(t);if(o==="string")return n;let l=this.activeTimers!=null,c;l&&(c=y.now());let p;if(o==="complex64"){let m=this.readSync(s.real.dataId),f=this.readSync(s.imag.dataId);p=S.mergeRealAndImagArrays(m,f)}else p=this.getValuesFromTexture(t);return l&&(this.downloadWaitMs+=y.now()-c),this.convertAndCacheOnCPU(t,p)}async read(t){if(this.pendingRead.has(t)){let d=this.pendingRead.get(t);return new Promise(h=>d.push(h))}let e=this.texData.get(t),{values:n,shape:o,slice:s,dtype:i,complexTensorInfos:a,isPacked:u}=e;if(s!=null){let d;u?d=new no(o,Gc):d=new tn(o,Gc);let h=this.runWebGLProgram(d,[{dataId:t,shape:o,dtype:i}],i),g=this.read(h.dataId);return this.disposeIntermediateTensorInfo(h),g}if(n!=null)return this.convertAndCacheOnCPU(t);if(M().getBool("DEBUG")&&!M().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&M().getNumber("WEBGL_VERSION")===2)throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");let l=null,c;if(i!=="complex64"&&M().get("WEBGL_BUFFER_SUPPORTED")){c=this.decode(t);let d=this.texData.get(c.dataId);l=this.gpgpu.createBufferFromTexture(d.texture.texture,...Wh(o))}this.pendingRead.set(t,[]),i!=="complex64"&&await this.gpgpu.createAndWaitForFence();let p;if(i==="complex64"){let d=await Promise.all([this.read(a.real.dataId),this.read(a.imag.dataId)]),h=d[0],g=d[1];p=S.mergeRealAndImagArrays(h,g)}else if(l==null)p=this.getValuesFromTexture(t);else{let d=y.sizeFromShape(o);p=this.gpgpu.downloadFloat32MatrixFromBuffer(l,d)}if(c!=null&&this.disposeIntermediateTensorInfo(c),l!=null){let d=this.gpgpu.gl;yt(d,()=>d.deleteBuffer(l))}let m=this.convertAndCacheOnCPU(t,p),f=this.pendingRead.get(t);return this.pendingRead.delete(t),f.forEach(d=>d(m)),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t)&&ho().removeDataId(t,this),this.pendingDeletes--),m}readToGPU(t,e={}){let n=this.texData.get(t),{values:o,shape:s,slice:i,dtype:a,isPacked:u,texture:l}=n;if(a==="complex64")throw new Error("Does not support reading texture for complex64 dtype.");if(i!=null){let f;u?f=new no(s,Gc):f=new tn(s,Gc);let d=this.runWebGLProgram(f,[{dataId:t,shape:s,dtype:a}],a),h=this.readToGPU(d,e);return this.disposeIntermediateTensorInfo(d),h}if(l==null)throw o!=null?new Error("Data is not on GPU but on CPU."):new Error("There is no data on GPU or CPU.");let c=this.decode(t,e.customTexShape),p=ho().makeTensorFromTensorInfo(c),m=this.texData.get(c.dataId);return Object.assign({tensorRef:p},m.texture)}bufferSync(t){let e=this.readSync(t.dataId);if(t.dtype==="string")try{let n=e.map(o=>y.decodeString(o));return wt(t.shape,t.dtype,n)}catch(n){throw new Error("Failed to decode encoded string bytes into utf-8")}return wt(t.shape,t.dtype,e)}checkNumericalProblems(t){if(t!=null)for(let e=0;e0}time(t){let e=this.activeTimers,n=[],o=!1;this.programTimersStack==null?(this.programTimersStack=n,o=!0):this.activeTimers.push(n),this.activeTimers=n,t();let s=y.flatten(this.activeTimers.map(u=>u.query)).filter(u=>u!=null),i=y.flatten(this.activeTimers.map(u=>u.name)).filter(u=>u!=null);this.activeTimers=e,o&&(this.programTimersStack=null);let a={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};return(async()=>{if(M().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0){let u=await Promise.all(s);a.kernelMs=y.sum(u),a.getExtraProfileInfo=()=>u.map((l,c)=>({name:i[c],ms:l})).map(l=>`${l.name}: ${l.ms}`).join(", ")}else a.kernelMs={error:"WebGL query timers are not supported in this environment."};return this.uploadWaitMs=0,this.downloadWaitMs=0,a})()}memory(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}startTimer(){return M().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:y.now(),endMs:null}}endTimer(t){return M().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),t):(t.endMs=y.now(),t)}async getQueryTime(t){if(M().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)return this.gpgpu.waitForQueryAndGetTime(t);let e=t;return e.endMs-e.startMs}disposeData(t,e=!1){if(this.pendingDisposal.has(t))return!1;if(!this.texData.has(t))return!0;if(e?this.texData.get(t).refCount=0:this.texData.get(t).refCount--,!e&&this.texData.get(t).refCount>0)return!1;if(this.pendingRead.has(t))return this.pendingDisposal.add(t),this.pendingDeletes++,!1;this.releaseGPUData(t);let{complexTensorInfos:n}=this.texData.get(t);return n!=null&&(this.disposeData(n.real.dataId,e),this.disposeData(n.imag.dataId,e)),this.texData.delete(t),!0}releaseGPUData(t){let{texture:e,dtype:n,texShape:o,usage:s,isPacked:i,slice:a}=this.texData.get(t),u=a&&a.origDataId||t,l=this.dataRefCount.get(u);l>1?this.dataRefCount.set(u,l-1):(this.dataRefCount.delete(u),e!=null&&(this.numBytesInGPU-=this.computeBytes(o,n),this.textureManager.releaseTexture(e,o,s,i)));let c=this.texData.get(t);c.texture=null,c.texShape=null,c.isPacked=!1,c.slice=null}getTexture(t){return this.uploadToGPU(t),this.texData.get(t).texture.texture}getDataInfo(t){return this.texData.get(t)}shouldExecuteOnCPU(t,e=Ktt){return M().getBool("WEBGL_CPU_FORWARD")&&t.every(n=>this.texData.get(n.dataId).texture==null&&y.sizeFromShape(n.shape)0&&y.isString(n[0])){let s=n.map(i=>y.encodeString(i));o=this.write(s,t,e)}else o=this.write(n,t,e);return this.texData.get(o).usage=null,{dataId:o,shape:t,dtype:e}}makeOutput(t,e,n){return ho().makeTensorFromTensorInfo(this.makeTensorInfo(t,e,n),this)}unpackTensor(t){let e=new Lw(t.shape);return this.runWebGLProgram(e,[t],t.dtype)}packTensor(t){let e=new Ow(t.shape),n=!0;return this.runWebGLProgram(e,[t],t.dtype,null,n)}packedReshape(t,e){let n=[hl(t.shape),...gl(t.shape)],o={dtype:t.dtype,shape:n,dataId:t.dataId},s=[hl(e),...gl(e)],i=new yd(s,n),a=!0,u=[n],l=this.runWebGLProgram(i,[o],t.dtype,u,a);return{dataId:l.dataId,shape:e,dtype:l.dtype}}decode(t,e){let n=this.texData.get(t),{isPacked:o,shape:s,dtype:i}=n;if(e!=null){let m=y.sizeFromShape(s),f=e[0]*e[1]*4;y.assert(m<=f,()=>"customTexShape is too small. Row * Column * 4 should be equal or larger than the size of the tensor data.")}let a=Kh(s),u;o?u=new Iw(a):u=new Cw(a);let l=!0,c=[e!=null?e:Wh(a)],p=this.runWebGLProgram(u,[{shape:a,dtype:i,dataId:t}],i,c,l,e);return{dtype:i,shape:s,dataId:p.dataId}}runWebGLProgram(t,e,n,o,s=!1,i){let a=this.makeTensorInfo(t.outputShape,n),u=this.texData.get(a.dataId);if(t.packedOutput&&(u.isPacked=!0),t.outPackingScheme===ku.DENSE){let x=i!=null?i:Wh(t.outputShape);u.texShape=x.map(b=>b*2)}if(t.outTexUsage!=null&&(u.usage=t.outTexUsage),y.sizeFromShape(a.shape)===0)return u.values=y.getTypedArrayFromDType(a.dtype,0),a;let l=[],c=e.map(x=>{if(x.dtype==="complex64")throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");let b=this.texData.get(x.dataId);if(b.texture==null){if(!t.packedInputs&&y.sizeFromShape(x.shape)<=M().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:x.shape,texData:null,isUniform:!0,uniformValues:b.values};t.packedInputs&&(b.isPacked=!0,b.shape=x.shape)}if(this.uploadToGPU(x.dataId),!!b.isPacked!=!!t.packedInputs)x=b.isPacked?this.unpackTensor(x):this.packTensor(x),l.push(x),b=this.texData.get(x.dataId);else if(b.isPacked&&!Tu(b.shape,x.shape)){let w=x,C=x.shape;x.shape=b.shape,x=this.packedReshape(x,C),l.push(x),b=this.texData.get(x.dataId),w.shape=C}return{shape:x.shape,texData:b,isUniform:!1}});this.uploadToGPU(a.dataId);let p={shape:a.shape,texData:u,isUniform:!1},m=tL(t,c,p),f=this.getAndSaveBinary(m,()=>JP(this.gpgpu,t,c,p)),d=this.activeTimers!=null,h;d&&(h=this.startTimer()),M().get("ENGINE_COMPILE_ONLY")||QP(this.gpgpu,f,c,p,o),l.forEach(x=>this.disposeIntermediateTensorInfo(x)),d&&(h=this.endTimer(h),this.activeTimers.push({name:t.constructor.name,query:this.getQueryTime(h)}));let g=M().get("WEBGL_FLUSH_THRESHOLD");if(g>0){let x=y.now();x-this.lastGlFlushTime>g&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=x)}if(!M().getBool("WEBGL_LAZILY_UNPACK")&&u.isPacked&&s===!1){let x=this.unpackTensor(a);return this.disposeIntermediateTensorInfo(a),x}return a}compileAndRun(t,e,n,o,s=!1){return n=n||e[0].dtype,this.runWebGLProgram(t,e,n,o,s)}getAndSaveBinary(t,e){return t in this.binaryCache||(this.binaryCache[t]=e()),this.binaryCache[t]}getTextureManager(){return this.textureManager}dispose(){this.disposed||(M().getBool("IS_TEST")||Object.keys(this.binaryCache).forEach(e=>{this.gpgpu.deleteProgram(this.binaryCache[e].webGLProgram),delete this.binaryCache[e]}),this.textureManager.dispose(),this.canvas!=null&&typeof HTMLCanvasElement!="undefined"&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0)}floatPrecision(){return this.floatPrecisionValue==null&&(this.floatPrecisionValue=B(()=>{if(!M().get("WEBGL_RENDER_FLOAT32_ENABLED")){let t=M().getBool("DEBUG");M().set("DEBUG",!1);let e=this.abs(mt(1e-8)).dataSync()[0];if(M().set("DEBUG",t),e>0)return 32}return 16})),this.floatPrecisionValue}epsilon(){return this.floatPrecision()===32?Utt:Htt}uploadToGPU(t){let e=this.texData.get(t),{shape:n,dtype:o,values:s,texture:i,usage:a,isPacked:u}=e;if(i!=null)return;let l=this.activeTimers!=null,c;l&&(c=y.now());let p=e.texShape;if(p==null&&(p=$k(n,u),e.texShape=p),s!=null){let m=Kh(n),f,d=p[1],h=p[0],g=s instanceof Uint8Array||s instanceof Uint8ClampedArray;(u||!g)&&([d,h]=Ki(p[0],p[1])),u?f=new kw(m,g):f=new Nw(m,g);let x=g?[h,d]:p,b=this.makeTensorInfo(x,o),w=this.texData.get(b.dataId);g?w.usage=Kr.PIXELS:w.usage=Kr.UPLOAD,w.texShape=x,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(b.dataId),d,h,s);let C=[[h,d]],N=!0,_=this.runWebGLProgram(f,[b],o,C,N),A=this.texData.get(_.dataId);e.texShape=A.texShape,e.isPacked=A.isPacked,e.usage=A.usage,M().get("ENGINE_COMPILE_ONLY")?this.disposeData(_.dataId):(e.texture=A.texture,e.values=null,this.texData.delete(_.dataId)),this.disposeIntermediateTensorInfo(b),l&&(this.uploadWaitMs+=y.now()-c)}else{let m=this.acquireTexture(p,a,o,u);e.texture=m}}convertAndCacheOnCPU(t,e){let n=this.texData.get(t),{dtype:o}=n;return this.releaseGPUData(t),e!=null&&(n.values=Ytt(e,o)),n.values}acquireTexture(t,e,n,o){if(this.numBytesInGPU+=this.computeBytes(t,n),!this.warnedAboutMemory&&this.numBytesInGPU>this.numMBBeforeWarning*1024*1024){let s=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn(`High memory usage in GPU: ${s} MB, most likely due to a memory leak`)}return this.textureManager.acquireTexture(t,e,o)}computeBytes(t,e){return t[0]*t[1]*y.bytesPerElement(e)}checkCompileCompletion(){for(let[,t]of Object.entries(this.binaryCache))this.checkCompletion_(t)}async checkCompileCompletionAsync(){let t=[];if(this.gpgpu.parallelCompilationExtension){for(let[,e]of Object.entries(this.binaryCache))t.push(this.checkCompletionAsync_(e));return Promise.all(t)}else{for(let[,e]of Object.entries(this.binaryCache)){let n=new Promise(o=>{try{this.checkCompletion_(e),o(!0)}catch(s){throw s}});t.push(n)}return Promise.all(t)}}async checkCompletionAsync_(t){return this.gpgpu.gl.getProgramParameter(t.webGLProgram,this.gpgpu.parallelCompilationExtension.COMPLETION_STATUS_KHR)?this.checkCompletion_(t):(await ph(),this.checkCompletionAsync_(t))}checkCompletion_(t){if(this.gpgpu.gl.getProgramParameter(t.webGLProgram,this.gpgpu.gl.LINK_STATUS)===!1)throw console.log(this.gpgpu.gl.getProgramInfoLog(t.webGLProgram)),this.gpgpu.gl.getShaderParameter(t.fragmentShader,this.gpgpu.gl.COMPILE_STATUS)===!1?(hw(t.source,this.gpgpu.gl.getShaderInfoLog(t.fragmentShader)),new Error("Failed to compile fragment shader.")):new Error("Failed to link vertex and fragment shaders.");return!0}getUniformLocations(){for(let[,t]of Object.entries(this.binaryCache)){let{uniformLocations:e,customUniformLocations:n,infLoc:o,nanLoc:s,inShapesLocations:i,inTexShapesLocations:a,outShapeLocation:u,outShapeStridesLocation:l,outTexShapeLocation:c}=Mk(this.gpgpu,t.program,t.webGLProgram);t.uniformLocations=e,t.customUniformLocations=n,t.infLoc=o,t.nanLoc=s,t.inShapesLocations=i,t.inTexShapesLocations=a,t.outShapeLocation=u,t.outShapeStridesLocation=l,t.outTexShapeLocation=c}}};Eu.nextDataId=0;function Ytt(r,t){if(t==="float32"||t==="complex64")return r;if(t==="int32"||t==="bool"){let e=t==="int32"?new Int32Array(r.length):new Uint8Array(r.length);for(let n=0;nnew Eu,2);var oTe={forceHalfFloat:sM};var bd=` + `}};var iet=Ur.whereImpl,aet=1e-7,uet=1e-4,Ww={};function cet(r){return r in Ww||(Ww[r]={}),Ww[r]}var pet=z().getNumber("CPU_HANDOFF_SIZE_THRESHOLD"),met=600;function fet(){return z().global.screen==null?1024:z().global.screen.height*z().global.screen.width*window.devicePixelRatio*met/1024/1024}var _u=class extends zo{constructor(t){if(super(),this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.lastGlFlushTime=0,this.warnedAboutMemory=!1,this.pendingDeletes=0,this.disposed=!1,!z().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");let e;if(t!=null){if(t instanceof Bc)e=t;else{let n=Gn(z().getNumber("WEBGL_VERSION"),t);e=new Bc(n)}this.binaryCache={},this.gpgpuCreatedLocally=!1}else{let n=Gn(z().getNumber("WEBGL_VERSION"));e=new Bc(n),this.binaryCache=cet(z().getNumber("WEBGL_VERSION")),this.gpgpuCreatedLocally=!0}this.gpgpu=e,this.canvas=this.gpgpu.gl.canvas,this.textureManager=new Vw(this.gpgpu),this.numMBBeforeWarning=fet(),this.texData=new ra(this,Pn())}nextDataId(){return _u.nextDataId++}numDataIds(){return this.texData.numDataIds()-this.pendingDeletes}writeTexture(t,e,n,o,s,i){let a=this.makeTensorInfo(e,n),u=this.texData.get(a.dataId);u.isPacked=!1,u.texture={texture:t,texShape:[o,s]},u.texShape=[o,s];let l=fd(e),c=new Jh(l,!1,i),p=this.runWebGLProgram(c,[a],n,[[o,s]]);return p.shape=e,u.texture=null,this.disposeIntermediateTensorInfo(a),p.dataId}write(t,e,n){if((z().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||z().getBool("DEBUG"))&&this.checkNumericalProblems(t),n==="complex64"&&t!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");let o={id:this.nextDataId()};return this.texData.set(o,{shape:e,dtype:n,values:t,usage:jr.UPLOAD,refCount:1}),o}refCount(t){return this.texData.has(t)?this.texData.get(t).refCount:0}incRef(t){let e=this.texData.get(t);e.refCount++}decRef(t){if(this.texData.has(t)){let e=this.texData.get(t);e.refCount--}}move(t,e,n,o,s){if(z().getBool("DEBUG")&&this.checkNumericalProblems(e),o==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(t,{shape:n,dtype:o,values:e,usage:jr.UPLOAD,refCount:s})}disposeIntermediateTensorInfo(t){this.disposeData(t.dataId)}readSync(t){let e=this.texData.get(t),{values:n,dtype:o,complexTensorInfos:s,slice:i,shape:a,isPacked:u}=e;if(i!=null){let m;u?m=new so(a,Gc):m=new tn(a,Gc);let f=this.runWebGLProgram(m,[{dataId:t,shape:a,dtype:o}],o),d=this.readSync(f.dataId);return this.disposeIntermediateTensorInfo(f),d}if(n!=null)return this.convertAndCacheOnCPU(t);if(o==="string")return n;let l=this.activeTimers!=null,c;l&&(c=y.now());let p;if(o==="complex64"){let m=this.readSync(s.real.dataId),f=this.readSync(s.imag.dataId);p=v.mergeRealAndImagArrays(m,f)}else p=this.getValuesFromTexture(t);return l&&(this.downloadWaitMs+=y.now()-c),this.convertAndCacheOnCPU(t,p)}async read(t){if(this.pendingRead.has(t)){let d=this.pendingRead.get(t);return new Promise(h=>d.push(h))}let e=this.texData.get(t),{values:n,shape:o,slice:s,dtype:i,complexTensorInfos:a,isPacked:u}=e;if(s!=null){let d;u?d=new so(o,Gc):d=new tn(o,Gc);let h=this.runWebGLProgram(d,[{dataId:t,shape:o,dtype:i}],i),g=this.read(h.dataId);return this.disposeIntermediateTensorInfo(h),g}if(n!=null)return this.convertAndCacheOnCPU(t);if(z().getBool("DEBUG")&&!z().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&z().getNumber("WEBGL_VERSION")===2)throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");let l=null,c;if(i!=="complex64"&&z().get("WEBGL_BUFFER_SUPPORTED")){c=this.decode(t);let d=this.texData.get(c.dataId);l=this.gpgpu.createBufferFromTexture(d.texture.texture,...jh(o))}this.pendingRead.set(t,[]),i!=="complex64"&&await this.gpgpu.createAndWaitForFence();let p;if(i==="complex64"){let d=await Promise.all([this.read(a.real.dataId),this.read(a.imag.dataId)]),h=d[0],g=d[1];p=v.mergeRealAndImagArrays(h,g)}else if(l==null)p=this.getValuesFromTexture(t);else{let d=y.sizeFromShape(o);p=this.gpgpu.downloadFloat32MatrixFromBuffer(l,d)}if(c!=null&&this.disposeIntermediateTensorInfo(c),l!=null){let d=this.gpgpu.gl;yt(d,()=>d.deleteBuffer(l))}let m=this.convertAndCacheOnCPU(t,p),f=this.pendingRead.get(t);return this.pendingRead.delete(t),f.forEach(d=>d(m)),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t)&&Pn().removeDataId(t,this),this.pendingDeletes--),m}readToGPU(t,e={}){let n=this.texData.get(t),{values:o,shape:s,slice:i,dtype:a,isPacked:u,texture:l}=n;if(a==="complex64")throw new Error("Does not support reading texture for complex64 dtype.");if(i!=null){let f;u?f=new so(s,Gc):f=new tn(s,Gc);let d=this.runWebGLProgram(f,[{dataId:t,shape:s,dtype:a}],a),h=this.readToGPU(d,e);return this.disposeIntermediateTensorInfo(d),h}if(l==null)throw o!=null?new Error("Data is not on GPU but on CPU."):new Error("There is no data on GPU or CPU.");let c=this.decode(t,e.customTexShape),p=Pn().makeTensorFromTensorInfo(c),m=this.texData.get(c.dataId);return Object.assign({tensorRef:p},m.texture)}bufferSync(t){let e=this.readSync(t.dataId);if(t.dtype==="string")try{let n=e.map(o=>y.decodeString(o));return wt(t.shape,t.dtype,n)}catch(n){throw new Error("Failed to decode encoded string bytes into utf-8")}return wt(t.shape,t.dtype,e)}checkNumericalProblems(t){if(t!=null)for(let e=0;e0}time(t){let e=this.activeTimers,n=[],o=!1;this.programTimersStack==null?(this.programTimersStack=n,o=!0):this.activeTimers.push(n),this.activeTimers=n,t();let s=y.flatten(this.activeTimers.map(u=>u.query)).filter(u=>u!=null),i=y.flatten(this.activeTimers.map(u=>u.name)).filter(u=>u!=null);this.activeTimers=e,o&&(this.programTimersStack=null);let a={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};return(async()=>{if(z().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0){let u=await Promise.all(s);a.kernelMs=y.sum(u),a.getExtraProfileInfo=()=>u.map((l,c)=>({name:i[c],ms:l})).map(l=>`${l.name}: ${l.ms}`).join(", ")}else a.kernelMs={error:"WebGL query timers are not supported in this environment."};return this.uploadWaitMs=0,this.downloadWaitMs=0,a})()}memory(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}startTimer(){return z().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:y.now(),endMs:null}}endTimer(t){return z().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),t):(t.endMs=y.now(),t)}async getQueryTime(t){if(z().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)return this.gpgpu.waitForQueryAndGetTime(t);let e=t;return e.endMs-e.startMs}disposeData(t,e=!1){if(this.pendingDisposal.has(t))return!1;if(!this.texData.has(t))return!0;if(e?this.texData.get(t).refCount=0:this.texData.get(t).refCount--,!e&&this.texData.get(t).refCount>0)return!1;if(this.pendingRead.has(t))return this.pendingDisposal.add(t),this.pendingDeletes++,!1;this.releaseGPUData(t);let{complexTensorInfos:n}=this.texData.get(t);return n!=null&&(this.disposeData(n.real.dataId,e),this.disposeData(n.imag.dataId,e)),this.texData.delete(t),!0}releaseGPUData(t){let{texture:e,dtype:n,texShape:o,usage:s,isPacked:i,slice:a}=this.texData.get(t),u=a&&a.origDataId||t,l=this.dataRefCount.get(u);l>1?this.dataRefCount.set(u,l-1):(this.dataRefCount.delete(u),e!=null&&(this.numBytesInGPU-=this.computeBytes(o,n),this.textureManager.releaseTexture(e,o,s,i)));let c=this.texData.get(t);c.texture=null,c.texShape=null,c.isPacked=!1,c.slice=null}getTexture(t){return this.uploadToGPU(t),this.texData.get(t).texture.texture}getDataInfo(t){return this.texData.get(t)}shouldExecuteOnCPU(t,e=pet){return z().getBool("WEBGL_CPU_FORWARD")&&t.every(n=>this.texData.get(n.dataId).texture==null&&y.sizeFromShape(n.shape)0&&y.isString(n[0])){let s=n.map(i=>y.encodeString(i));o=this.write(s,t,e)}else o=this.write(n,t,e);return this.texData.get(o).usage=null,{dataId:o,shape:t,dtype:e}}makeOutput(t,e,n){return Pn().makeTensorFromTensorInfo(this.makeTensorInfo(t,e,n),this)}unpackTensor(t){let e=new Gw(t.shape);return this.runWebGLProgram(e,[t],t.dtype)}packTensor(t){let e=new Bw(t.shape),n=!0;return this.runWebGLProgram(e,[t],t.dtype,null,n)}packedReshape(t,e){let n=[xl(t.shape),...yl(t.shape)],o={dtype:t.dtype,shape:n,dataId:t.dataId},s=[xl(e),...yl(e)],i=new Id(s,n),a=!0,u=[n],l=this.runWebGLProgram(i,[o],t.dtype,u,a);return{dataId:l.dataId,shape:e,dtype:l.dtype}}decode(t,e){let n=this.texData.get(t),{isPacked:o,shape:s,dtype:i}=n;if(e!=null){let m=y.sizeFromShape(s),f=e[0]*e[1]*4;y.assert(m<=f,()=>"customTexShape is too small. Row * Column * 4 should be equal or larger than the size of the tensor data.")}let a=fd(s),u;o?u=new Ew(a):u=new kw(a);let l=!0,c=[e!=null?e:jh(a)],p=this.runWebGLProgram(u,[{shape:a,dtype:i,dataId:t}],i,c,l,e);return{dtype:i,shape:s,dataId:p.dataId}}runWebGLProgram(t,e,n,o,s=!1,i){let a=this.makeTensorInfo(t.outputShape,n),u=this.texData.get(a.dataId);if(t.packedOutput&&(u.isPacked=!0),t.outPackingScheme===ku.DENSE){let x=i!=null?i:jh(t.outputShape);u.texShape=x.map(b=>b*2)}if(t.outTexUsage!=null&&(u.usage=t.outTexUsage),y.sizeFromShape(a.shape)===0)return u.values=y.getTypedArrayFromDType(a.dtype,0),a;let l=[],c=e.map(x=>{if(x.dtype==="complex64")throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");let b=this.texData.get(x.dataId);if(b.texture==null){if(!t.packedInputs&&y.sizeFromShape(x.shape)<=z().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:x.shape,texData:null,isUniform:!0,uniformValues:b.values};t.packedInputs&&(b.isPacked=!0,b.shape=x.shape)}if(this.uploadToGPU(x.dataId),!!b.isPacked!=!!t.packedInputs)x=b.isPacked?this.unpackTensor(x):this.packTensor(x),l.push(x),b=this.texData.get(x.dataId);else if(b.isPacked&&!Eu(b.shape,x.shape)){let w=x,C=x.shape;x.shape=b.shape,x=this.packedReshape(x,C),l.push(x),b=this.texData.get(x.dataId),w.shape=C}return{shape:x.shape,texData:b,isUniform:!1}});this.uploadToGPU(a.dataId);let p={shape:a.shape,texData:u,isUniform:!1},m=uL(t,c,p),f=this.getAndSaveBinary(m,()=>aL(this.gpgpu,t,c,p)),d=this.activeTimers!=null,h;d&&(h=this.startTimer()),z().get("ENGINE_COMPILE_ONLY")||lL(this.gpgpu,f,c,p,o),l.forEach(x=>this.disposeIntermediateTensorInfo(x)),d&&(h=this.endTimer(h),this.activeTimers.push({name:t.constructor.name,query:this.getQueryTime(h)}));let g=z().get("WEBGL_FLUSH_THRESHOLD");if(g>0){let x=y.now();x-this.lastGlFlushTime>g&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=x)}if(!z().getBool("WEBGL_LAZILY_UNPACK")&&u.isPacked&&s===!1){let x=this.unpackTensor(a);return this.disposeIntermediateTensorInfo(a),x}return a}compileAndRun(t,e,n,o,s=!1){return n=n||e[0].dtype,this.runWebGLProgram(t,e,n,o,s)}getAndSaveBinary(t,e){return t in this.binaryCache||(this.binaryCache[t]=e()),this.binaryCache[t]}getTextureManager(){return this.textureManager}dispose(){this.disposed||(z().getBool("IS_TEST")||Object.keys(this.binaryCache).forEach(e=>{this.gpgpu.deleteProgram(this.binaryCache[e].webGLProgram),delete this.binaryCache[e]}),this.textureManager.dispose(),this.canvas!=null&&typeof HTMLCanvasElement!="undefined"&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0)}floatPrecision(){return this.floatPrecisionValue==null&&(this.floatPrecisionValue=B(()=>{if(!z().get("WEBGL_RENDER_FLOAT32_ENABLED")){let t=z().getBool("DEBUG");z().set("DEBUG",!1);let e=this.abs(mt(1e-8)).dataSync()[0];if(z().set("DEBUG",t),e>0)return 32}return 16})),this.floatPrecisionValue}epsilon(){return this.floatPrecision()===32?aet:uet}uploadToGPU(t){let e=this.texData.get(t),{shape:n,dtype:o,values:s,texture:i,usage:a,isPacked:u}=e;if(i!=null)return;let l=this.activeTimers!=null,c;l&&(c=y.now());let p=e.texShape;if(p==null&&(p=PT(n,u),e.texShape=p),s!=null){let m=fd(n),f,d=p[1],h=p[0],g=s instanceof Uint8Array||s instanceof Uint8ClampedArray;(u||!g)&&([d,h]=Xi(p[0],p[1])),u?f=new $w(m,g):f=new Jh(m,g);let x=g?[h,d]:p,b=this.makeTensorInfo(x,o),w=this.texData.get(b.dataId);g?w.usage=jr.PIXELS:w.usage=jr.UPLOAD,w.texShape=x,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(b.dataId),d,h,s);let C=[[h,d]],N=!0,_=this.runWebGLProgram(f,[b],o,C,N),A=this.texData.get(_.dataId);e.texShape=A.texShape,e.isPacked=A.isPacked,e.usage=A.usage,z().get("ENGINE_COMPILE_ONLY")?this.disposeData(_.dataId):(e.texture=A.texture,e.values=null,this.texData.delete(_.dataId)),this.disposeIntermediateTensorInfo(b),l&&(this.uploadWaitMs+=y.now()-c)}else{let m=this.acquireTexture(p,a,o,u);e.texture=m}}convertAndCacheOnCPU(t,e){let n=this.texData.get(t),{dtype:o}=n;return this.releaseGPUData(t),e!=null&&(n.values=det(e,o)),n.values}acquireTexture(t,e,n,o){if(this.numBytesInGPU+=this.computeBytes(t,n),!this.warnedAboutMemory&&this.numBytesInGPU>this.numMBBeforeWarning*1024*1024){let s=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn(`High memory usage in GPU: ${s} MB, most likely due to a memory leak`)}return this.textureManager.acquireTexture(t,e,o)}computeBytes(t,e){return t[0]*t[1]*y.bytesPerElement(e)}checkCompileCompletion(){for(let[,t]of Object.entries(this.binaryCache))this.checkCompletion_(t)}async checkCompileCompletionAsync(){let t=[];if(this.gpgpu.parallelCompilationExtension){for(let[,e]of Object.entries(this.binaryCache))t.push(this.checkCompletionAsync_(e));return Promise.all(t)}else{for(let[,e]of Object.entries(this.binaryCache)){let n=new Promise(o=>{try{this.checkCompletion_(e),o(!0)}catch(s){throw s}});t.push(n)}return Promise.all(t)}}async checkCompletionAsync_(t){return this.gpgpu.gl.getProgramParameter(t.webGLProgram,this.gpgpu.parallelCompilationExtension.COMPLETION_STATUS_KHR)?this.checkCompletion_(t):(await gh(),this.checkCompletionAsync_(t))}checkCompletion_(t){if(this.gpgpu.gl.getProgramParameter(t.webGLProgram,this.gpgpu.gl.LINK_STATUS)===!1)throw console.log(this.gpgpu.gl.getProgramInfoLog(t.webGLProgram)),this.gpgpu.gl.getShaderParameter(t.fragmentShader,this.gpgpu.gl.COMPILE_STATUS)===!1?(Cw(t.source,this.gpgpu.gl.getShaderInfoLog(t.fragmentShader)),new Error("Failed to compile fragment shader.")):new Error("Failed to link vertex and fragment shaders.");return!0}getUniformLocations(){for(let[,t]of Object.entries(this.binaryCache)){let{uniformLocations:e,customUniformLocations:n,infLoc:o,nanLoc:s,inShapesLocations:i,inTexShapesLocations:a,outShapeLocation:u,outShapeStridesLocation:l,outTexShapeLocation:c}=WT(this.gpgpu,t.program,t.webGLProgram);t.uniformLocations=e,t.customUniformLocations=n,t.infLoc=o,t.nanLoc=s,t.inShapesLocations=i,t.inTexShapesLocations=a,t.outShapeLocation=u,t.outShapeStridesLocation=l,t.outTexShapeLocation=c}}createTensorFromTexture(t,e,n){let{texture:o,height:s,width:i,channels:a}=t,u=Pn().backend;if(!u.gpgpu.gl.isTexture(o))throw new Error("The texture is invalid. Also, please make sure the texture and the TFJS WebGL backend are using the same canvas. If you want to use your own custom canvas, you have to create and use the custom TFJS WebGL backend created from the canvas through 'new tf.MathBackendWebGL(customCanvas)'.");let l=u.writeTexture(o,e,n,s,i,a);return Pn().makeTensorFromDataId(l,e,n,u)}};_u.nextDataId=0;function det(r,t){if(t==="float32"||t==="complex64")return r;if(t==="int32"||t==="bool"){let e=t==="int32"?new Int32Array(r.length):new Uint8Array(r.length);for(let n=0;nnew _u,2);var t1e={forceHalfFloat:hM};var Sd=` if (isnan(a)) return a; if (isnan(b)) return b; -`;var oo=class{constructor(t,e,n){this.variableNames=["A","B"],this.outputShape=S.assertAndGetBroadcastShape(e,n),this.enableShapeUniforms=we(this.outputShape.length),this.userCode=` +`;var io=class{constructor(t,e,n){this.variableNames=["A","B"],this.outputShape=v.assertAndGetBroadcastShape(e,n),this.enableShapeUniforms=we(this.outputShape.length),this.userCode=` float binaryOperation(float a, float b) { ${t} } @@ -1256,12 +1250,12 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, float b = getBAtOutCoords(); setOutput(binaryOperation(a, b)); } - `}};var ji=` + `}};var Yi=` result.r = isNaN.r ? NAN : result.r; result.g = isNaN.g ? NAN : result.g; result.b = isNaN.b ? NAN : result.b; result.a = isNaN.a ? NAN : result.a; -`;var Fo=class{constructor(t,e,n,o=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=S.assertAndGetBroadcastShape(e,n);let s=this.outputShape.length;this.enableShapeUniforms=we(s);let i="";if(o)if(s===0||y.sizeFromShape(this.outputShape)===1)i=` +`;var Oo=class{constructor(t,e,n,o=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=v.assertAndGetBroadcastShape(e,n);let s=this.outputShape.length;this.enableShapeUniforms=we(s);let i="";if(o)if(s===0||y.sizeFromShape(this.outputShape)===1)i=` result.y = 0.; result.z = 0.; result.w = 0.; @@ -1305,13 +1299,13 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, setOutput(result); } - `}};function tr(r){let{inputs:t,backend:e}=r,{x:n}=t;return e.incRef(n.dataId),{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}var iM={kernelName:lo,backendName:"webgl",kernelFunc:tr};function Tn(r){let{inputs:t,backend:e}=r,{real:n,imag:o}=t,s=e.makeTensorInfo(n.shape,"complex64"),i=e.texData.get(s.dataId),a=tr({inputs:{x:n},backend:e}),u=tr({inputs:{x:o},backend:e});return i.complexTensorInfos={real:a,imag:u},s}var aM={kernelName:pp,backendName:"webgl",kernelFunc:Tn};var oT="return (a < 0.) ? b * a : a;",sT=` + `}};function tr(r){let{inputs:t,backend:e}=r,{x:n}=t;return e.incRef(n.dataId),{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}var gM={kernelName:co,backendName:"webgl",kernelFunc:tr};function En(r){let{inputs:t,backend:e}=r,{real:n,imag:o}=t,s=e.makeTensorInfo(n.shape,"complex64"),i=e.texData.get(s.dataId),a=tr({inputs:{x:n},backend:e}),u=tr({inputs:{x:o},backend:e});return i.complexTensorInfos={real:a,imag:u},s}var xM={kernelName:pp,backendName:"webgl",kernelFunc:En};var uk="return (a < 0.) ? b * a : a;",ck=` vec4 aLessThanZero = vec4(lessThan(a, vec4(0.))); return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a); -`;function Ztt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{alpha:s}=n,i=e.makeTensorInfo([],"float32",y.createScalarValue(s,"float32")),a=M().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Fo(sT,o.shape,i.shape):new oo(oT,o.shape,i.shape),u=e.runWebGLProgram(a,[o,i],"float32");return e.disposeIntermediateTensorInfo(i),u}var lM={kernelName:ss,backendName:"webgl",kernelFunc:Ztt};var iT="return (a < 0.) ? b * a : a;",aT=` +`;function het(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{alpha:s}=n,i=e.makeTensorInfo([],"float32",y.createScalarValue(s,"float32")),a=z().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Oo(ck,o.shape,i.shape):new io(uk,o.shape,i.shape),u=e.runWebGLProgram(a,[o,i],"float32");return e.disposeIntermediateTensorInfo(i),u}var yM={kernelName:is,backendName:"webgl",kernelFunc:het};var pk="return (a < 0.) ? b * a : a;",mk=` vec4 aLessThanZero = vec4(lessThan(a, vec4(0.))); return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a); -`;function Jtt(r){let{inputs:t,backend:e}=r,{x:n,alpha:o}=t,s=M().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Fo(aT,n.shape,o.shape):new oo(iT,n.shape,o.shape);return e.runWebGLProgram(s,[n,o],"float32")}var uM={kernelName:ys,backendName:"webgl",kernelFunc:Jtt};var Oo="if (isnan(x)) return x;";function Ct({opSnippet:r,packedOpSnippet:t,cpuKernelImpl:e,dtype:n}){return({inputs:o,backend:s})=>{let{x:i}=o,a=s,u=n||i.dtype;if(a.shouldExecuteOnCPU([i])&&e!=null){let p=a.texData.get(i.dataId),m=e(p.values,u);return a.makeTensorInfo(i.shape,u,m)}let l=M().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&t!=null,c;return l?c=new no(i.shape,t):c=new tn(i.shape,r),a.runWebGLProgram(c,[i],u)}}function le({opSnippet:r,packedOpSnippet:t,checkOutOfBounds:e=!1,supportsComplex:n=!1,cpuKernelImpl:o,dtype:s}){return({inputs:i,backend:a})=>{let{a:u,b:l}=i,c=a;if(n&&u.dtype==="complex64"){let d=c.texData.get(u.dataId),h=c.texData.get(l.dataId),[g,x]=[[d.complexTensorInfos.real,h.complexTensorInfos.real],[d.complexTensorInfos.imag,h.complexTensorInfos.imag]].map(w=>{let[C,N]=w,_={dataId:C.dataId,dtype:C.dtype,shape:u.shape},A={dataId:N.dataId,dtype:N.dtype,shape:l.shape},$=new oo(r,u.shape,l.shape);return c.runWebGLProgram($,[_,A],or(C.dtype,N.dtype))}),b=Tn({inputs:{real:g,imag:x},backend:c});return c.disposeIntermediateTensorInfo(g),c.disposeIntermediateTensorInfo(x),b}let p=s||or(u.dtype,l.dtype);if((u.dtype==="string"||l.dtype==="string"||c.shouldExecuteOnCPU([u,l]))&&o!=null){let d=c.texData.get(u.dataId).values,h=c.texData.get(l.dataId).values,g=u.dtype==="string"?S.fromUint8ToStringArray(d):d,x=u.dtype==="string"?S.fromUint8ToStringArray(h):h,[b,w]=o(u.shape,l.shape,g,x,p),C=c.makeTensorInfo(w,p),N=c.texData.get(C.dataId);return N.values=b,C}let m=M().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&t!=null,f;return m?f=new Fo(t,u.shape,l.shape,e):f=new oo(r,u.shape,l.shape),c.runWebGLProgram(f,[u,l],p)}}function xl(r,t=!1){if(r==="linear")return t?QL:KL;if(r==="relu")return t?eM:XL;if(r==="elu")return t?tM:jL;if(r==="relu6")return t?rM:YL;if(r==="prelu")return t?aT:iT;if(r==="leakyrelu")return t?sT:oT;if(r==="sigmoid")return t?nM:ZL;throw new Error(`Activation ${r} has not been implemented for the WebGL backend.`)}var wd=class{constructor(t,e,n,o=!1,s=!1,i=!1,a=null,u=!1,l=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n,this.enableShapeUniforms=we(this.outputShape.length);let c=o?t[1]:t[2],p=Math.ceil(c/2),m=o?"i * 2, rc.y":"rc.y, i * 2",f=s?"rc.z, i * 2":"i * 2, rc.z",d=o?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],h=s?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],g="",x="";a&&(u?g=`vec4 activation(vec4 a) { +`;function get(r){let{inputs:t,backend:e}=r,{x:n,alpha:o}=t,s=z().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Oo(mk,n.shape,o.shape):new io(pk,n.shape,o.shape);return e.runWebGLProgram(s,[n,o],"float32")}var bM={kernelName:bs,backendName:"webgl",kernelFunc:get};var Po="if (isnan(x)) return x;";function Ct({opSnippet:r,packedOpSnippet:t,cpuKernelImpl:e,dtype:n}){return({inputs:o,backend:s})=>{let{x:i}=o,a=s,u=n||i.dtype;if(a.shouldExecuteOnCPU([i])&&e!=null){let p=a.texData.get(i.dataId),m=e(p.values,u);return a.makeTensorInfo(i.shape,u,m)}let l=z().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&t!=null,c;return l?c=new so(i.shape,t):c=new tn(i.shape,r),a.runWebGLProgram(c,[i],u)}}function le({opSnippet:r,packedOpSnippet:t,checkOutOfBounds:e=!1,supportsComplex:n=!1,cpuKernelImpl:o,dtype:s}){return({inputs:i,backend:a})=>{let{a:u,b:l}=i,c=a;if(n&&u.dtype==="complex64"){let d=c.texData.get(u.dataId),h=c.texData.get(l.dataId),[g,x]=[[d.complexTensorInfos.real,h.complexTensorInfos.real],[d.complexTensorInfos.imag,h.complexTensorInfos.imag]].map(w=>{let[C,N]=w,_={dataId:C.dataId,dtype:C.dtype,shape:u.shape},A={dataId:N.dataId,dtype:N.dtype,shape:l.shape},$=new io(r,u.shape,l.shape);return c.runWebGLProgram($,[_,A],sr(C.dtype,N.dtype))}),b=En({inputs:{real:g,imag:x},backend:c});return c.disposeIntermediateTensorInfo(g),c.disposeIntermediateTensorInfo(x),b}let p=s||sr(u.dtype,l.dtype);if((u.dtype==="string"||l.dtype==="string"||c.shouldExecuteOnCPU([u,l]))&&o!=null){let d=c.texData.get(u.dataId).values,h=c.texData.get(l.dataId).values,g=u.dtype==="string"?v.fromUint8ToStringArray(d):d,x=u.dtype==="string"?v.fromUint8ToStringArray(h):h,[b,w]=o(u.shape,l.shape,g,x,p),C=c.makeTensorInfo(w,p),N=c.texData.get(C.dataId);return N.values=b,C}let m=z().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&t!=null,f;return m?f=new Oo(t,u.shape,l.shape,e):f=new io(r,u.shape,l.shape),c.runWebGLProgram(f,[u,l],p)}}function bl(r,t=!1){if(r==="linear")return t?uM:nM;if(r==="relu")return t?pM:sM;if(r==="elu")return t?cM:oM;if(r==="relu6")return t?mM:iM;if(r==="prelu")return t?mk:pk;if(r==="leakyrelu")return t?ck:uk;if(r==="sigmoid")return t?fM:aM;throw new Error(`Activation ${r} has not been implemented for the WebGL backend.`)}var vd=class{constructor(t,e,n,o=!1,s=!1,i=!1,a=null,u=!1,l=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n,this.enableShapeUniforms=we(this.outputShape.length);let c=o?t[1]:t[2],p=Math.ceil(c/2),m=o?"i * 2, rc.y":"rc.y, i * 2",f=s?"rc.z, i * 2":"i * 2, rc.z",d=o?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],h=s?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],g="",x="";a&&(u?g=`vec4 activation(vec4 a) { vec4 b = getPreluActivationWeightsAtOutCoords(); ${a} }`:l?g=`vec4 activation(vec4 a) { @@ -1350,7 +1344,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, setOutput(result); } - `}};var lT={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"},Xh=class{constructor(t,e,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=S.assertAndGetBroadcastShape(e,n),this.userCode=` + `}};var fk={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"},tg=class{constructor(t,e,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=v.assertAndGetBroadcastShape(e,n),this.userCode=` float binaryOpComplex( float areal, float aimag, float breal, float bimag) { ${t} @@ -1363,7 +1357,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, float bimag = getBImagAtOutCoords(); setOutput(binaryOpComplex(areal, aimag, breal, bimag)); } - `}};var cM="return a * b;";function Yh(r){let{inputs:t,backend:e}=r,{a:n,b:o}=t,s=S.upcastType(n.dtype,o.dtype);if(n.dtype==="complex64"){let a=e.texData.get(n.dataId),u=e.texData.get(o.dataId),l=new Xh(lT.REAL,n.shape,o.shape),c=new Xh(lT.IMAG,n.shape,o.shape),p=[{dataId:a.complexTensorInfos.real.dataId,dtype:a.complexTensorInfos.real.dtype,shape:n.shape},{dataId:a.complexTensorInfos.imag.dataId,dtype:a.complexTensorInfos.imag.dtype,shape:n.shape},{dataId:u.complexTensorInfos.real.dataId,dtype:u.complexTensorInfos.real.dtype,shape:o.shape},{dataId:u.complexTensorInfos.imag.dataId,dtype:u.complexTensorInfos.imag.dtype,shape:o.shape}],m=e.runWebGLProgram(l,p,"float32"),f=e.runWebGLProgram(c,p,"float32"),d=Tn({inputs:{real:m,imag:f},backend:e});return e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f),d}if(e.shouldExecuteOnCPU([n,o])){let a=e.texData.get(n.dataId),u=e.texData.get(o.dataId),[l,c]=CL(n.shape,o.shape,a.values,u.values,s),p=e.makeTensorInfo(c,s),m=e.texData.get(p.dataId);return m.values=l,p}let i;return M().getBool("WEBGL_PACK_BINARY_OPERATIONS")?i=new Fo(cM,n.shape,o.shape):i=new oo(cM,n.shape,o.shape),e.runWebGLProgram(i,[n,o],s)}var pM={kernelName:ds,backendName:"webgl",kernelFunc:Yh};function mM(r,t,e){let n=[hl(r.shape),...gl(r.shape)],o={dtype:r.dtype,shape:n,dataId:r.dataId},s=[hl(t),...gl(t)],i=new yd(s,n),a=!0,u=[n],l=e.runWebGLProgram(i,[o],r.dtype,u,a);return{dataId:l.dataId,shape:t,dtype:l.dtype}}function st(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{shape:s}=n,i=e,a=y.sizeFromShape(o.shape),u=y.inferFromImplicitShape(s,a),l=y.sizeFromShape(u);y.assert(a===l,()=>`The new shape (${u}) has ${l} elements and the old shape (${o.shape}) has ${a} elements. The new shape and old shape must have the same number of elements.`);let c=i.texData.get(o.dataId);return c.isPacked&&!Tu(o.shape,u)&&!(c.texture!==null&&Tu(c.shape,u))?mM(o,u,i):(i.incRef(o.dataId),{dataId:o.dataId,shape:u,dtype:o.dtype})}var fM={kernelName:mi,backendName:"webgl",kernelFunc:st};var Zh=class{constructor(t,e){this.variableNames=["x"];let{windowSize:n,batchSize:o,inSize:s,outSize:i}=t;this.outputShape=[o,i];let a=Math.floor(n/4)*4,u=n%4,l="sumValue += dot(values, ones);";if(e!=null){let p=1/e;l=`sumValue += dot(values * ${y.isInt(p)?p.toPrecision(2):p}, ones);`}let c="";s%n>0&&(c=` + `}};var wM="return a * b;";function eg(r){let{inputs:t,backend:e}=r,{a:n,b:o}=t,s=v.upcastType(n.dtype,o.dtype);if(n.dtype==="complex64"){let a=e.texData.get(n.dataId),u=e.texData.get(o.dataId),l=new tg(fk.REAL,n.shape,o.shape),c=new tg(fk.IMAG,n.shape,o.shape),p=[{dataId:a.complexTensorInfos.real.dataId,dtype:a.complexTensorInfos.real.dtype,shape:n.shape},{dataId:a.complexTensorInfos.imag.dataId,dtype:a.complexTensorInfos.imag.dtype,shape:n.shape},{dataId:u.complexTensorInfos.real.dataId,dtype:u.complexTensorInfos.real.dtype,shape:o.shape},{dataId:u.complexTensorInfos.imag.dataId,dtype:u.complexTensorInfos.imag.dtype,shape:o.shape}],m=e.runWebGLProgram(l,p,"float32"),f=e.runWebGLProgram(c,p,"float32"),d=En({inputs:{real:m,imag:f},backend:e});return e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f),d}if(e.shouldExecuteOnCPU([n,o])){let a=e.texData.get(n.dataId),u=e.texData.get(o.dataId),[l,c]=AL(n.shape,o.shape,a.values,u.values,s),p=e.makeTensorInfo(c,s),m=e.texData.get(p.dataId);return m.values=l,p}let i;return z().getBool("WEBGL_PACK_BINARY_OPERATIONS")?i=new Oo(wM,n.shape,o.shape):i=new io(wM,n.shape,o.shape),e.runWebGLProgram(i,[n,o],s)}var CM={kernelName:hs,backendName:"webgl",kernelFunc:eg};function IM(r,t,e){let n=[xl(r.shape),...yl(r.shape)],o={dtype:r.dtype,shape:n,dataId:r.dataId},s=[xl(t),...yl(t)],i=new Id(s,n),a=!0,u=[n],l=e.runWebGLProgram(i,[o],r.dtype,u,a);return{dataId:l.dataId,shape:t,dtype:l.dtype}}function st(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{shape:s}=n,i=e,a=y.sizeFromShape(o.shape),u=y.inferFromImplicitShape(s,a),l=y.sizeFromShape(u);y.assert(a===l,()=>`The new shape (${u}) has ${l} elements and the old shape (${o.shape}) has ${a} elements. The new shape and old shape must have the same number of elements.`);let c=i.texData.get(o.dataId);return c.isPacked&&!Eu(o.shape,u)&&!(c.texture!==null&&Eu(c.shape,u))?IM(o,u,i):(i.incRef(o.dataId),{dataId:o.dataId,shape:u,dtype:o.dtype})}var SM={kernelName:di,backendName:"webgl",kernelFunc:st};var rg=class{constructor(t,e){this.variableNames=["x"];let{windowSize:n,batchSize:o,inSize:s,outSize:i}=t;this.outputShape=[o,i];let a=Math.floor(n/4)*4,u=n%4,l="sumValue += dot(values, ones);";if(e!=null){let p=1/e;l=`sumValue += dot(values * ${y.isInt(p)?p.toPrecision(2):p}, ones);`}let c="";s%n>0&&(c=` if (inIdx < 0 || inIdx >= ${s}) { return 0.0; } @@ -1416,7 +1410,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, } setOutput(sumValue); } - `}};var zw=class{constructor(t,e){this.variableNames=["x"];let{windowSize:n,batchSize:o,inSize:s,outSize:i}=t;this.outputShape=[o,i];let a="0.0",u="";e==="prod"?a="1.0":e==="min"?(a="1.0 / 1e-20",u="min"):e==="max"&&(a="-1.0 / 1e-20",u="max");let l=`${e}(${e}(${e}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;e==="sum"?l="sumValue":e==="prod"?l="prodValue":e==="all"?l="allValue":e==="any"&&(l="anyValue");let c=Math.floor(n/4)*4,p=n%4,m=` + `}};var Uw=class{constructor(t,e){this.variableNames=["x"];let{windowSize:n,batchSize:o,inSize:s,outSize:i}=t;this.outputShape=[o,i];let a="0.0",u="";e==="prod"?a="1.0":e==="min"?(a="1.0 / 1e-20",u="min"):e==="max"&&(a="-1.0 / 1e-20",u="max");let l=`${e}(${e}(${e}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;e==="sum"?l="sumValue":e==="prod"?l="prodValue":e==="all"?l="allValue":e==="any"&&(l="anyValue");let c=Math.floor(n/4)*4,p=n%4,m=` if (${e==="sum"}) { sumValue += dot(values, ones); } else if (${e==="prod"}) { @@ -1508,12 +1502,12 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, } setOutput(${l}); } - `}};function tet(r){let t=[];for(;t.length===0||t[t.length-1].outSize!==1;){let e=t.length?t[t.length-1].outSize:r[1],n=S.computeOptimalWindowSize(e);t.push({inSize:e,windowSize:n,outSize:Math.ceil(e/n)})}return t}function Gn(r,t,e,n){let o=tet(r.shape),s=r;for(let i=0;i6)throw Error(`Transpose for rank ${t} is not yet supported`);let e=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],n=new Array(t);for(let o=0;o6)throw Error(`Packed transpose for rank ${this.rank} is not yet supported.`);let o=zt(this.rank),s=rT("rc",this.rank),i=new Array(this.rank);for(let c=0;c6)throw Error(`Transpose for rank ${t} is not yet supported`);let e=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],n=new Array(t);for(let o=0;o6)throw Error(`Packed transpose for rank ${this.rank} is not yet supported.`);let o=zt(this.rank),s=ak("rc",this.rank),i=new Array(this.rank);for(let c=0;c`Error in matMul: inner shapes (${p}) and (${m}) of Tensors with shapes ${r.shape} and ${t.shape} and transposeA=${e} and transposeB=${n} must match.`);let N=e?[x,p,f]:[x,f,p],_=n?[b,d,m]:[b,m,d],A=st({inputs:{x:r},backend:o,attrs:{shape:N}}),$=st({inputs:{x:t},backend:o,attrs:{shape:_}}),F=[A,$],P=Math.max(x,b),V=e?A.shape[1]:A.shape[2],G=s!=null,W=i!=null,q=u==="leakyrelu",H=u!=null?xl(u,!0):null,j=G||W||q||H!=null,Y;if((f===1||d===1)&&V>uT&&j===!1){let et=A,rt=$;e&&(et=Fe({inputs:{x:A},backend:o,attrs:{perm:[0,2,1]}}),F.push(et)),n&&(rt=Fe({inputs:{x:$},backend:o,attrs:{perm:[0,2,1]}}),F.push(rt));let ot=d!==1,at=d===1,nt=et;ot&&(nt=st({inputs:{x:et},backend:o,attrs:{shape:[P,V,1]}}),F.push(nt));let it=d===1?2:1,dt=rt;at&&(dt=st({inputs:{x:rt},backend:o,attrs:{shape:[P,1,V]}}),F.push(dt));let ht=Yh({inputs:{a:nt,b:dt},backend:o});Y=Wc({inputs:{x:ht},backend:o,attrs:{axis:it,keepDims:!0}}),F.push(ht)}else{let et=or(r.dtype,t.dtype),rt=new wd(N,_,[P,f,d],e,n,G,H,W,q),ot=[A,$];if(s!=null&&ot.push(s),W&&ot.push(i),q){let at=o.makeTensorInfo([],"float32",y.createScalarValue(a,"float32"));ot.push(at),F.push(at)}Y=o.runWebGLProgram(rt,ot,et)}let Z=st({inputs:{x:Y},backend:o,attrs:{shape:C}});F.push(Y);for(let et of F)o.disposeIntermediateTensorInfo(et);return Z}function ret(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s,bias:i,preluActivationWeights:a}=t,{transposeA:u,transposeB:l,activation:c,leakyreluAlpha:p}=n;return Uc({a:o,b:s,transposeA:u,transposeB:l,backend:e,bias:i,preluActivationWeights:a,leakyreluAlpha:p,activation:c})}var xM={kernelName:bi,backendName:"webgl",kernelFunc:ret};var yM="return abs(x);";function net(r){let{inputs:t,backend:e}=r,{x:n}=t;if(e.shouldExecuteOnCPU([n])&&n.dtype!=="complex64"){let s=e.texData.get(n.dataId),i=Rw(s.values);return e.makeTensorInfo(n.shape,n.dtype,i)}let o;return M().getBool("WEBGL_PACK_UNARY_OPERATIONS")?o=new no(n.shape,yM):o=new tn(n.shape,yM),e.runWebGLProgram(o,[n],n.dtype)}var bM={kernelName:oi,backendName:"webgl",kernelFunc:net};var oet=pr+` + `}};function Au(r,t,e){let n=z().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new qw(r.shape,t):new Hw(r.shape,t);return e.runWebGLProgram(n,[r],r.dtype)}function vM(r,t,e,n){let o=t,s=r.shape.length,i=y.parseAxisParam(o,r.shape),a=i,u=v.getAxesPermutation(a,s),l=u!=null,c=r;l&&(c=Au(r,u,n),a=v.getInnerMostAxes(a.length,s)),v.assertAxesAreInnerMostDims("sum",a,s);let[p,m]=v.computeOutAndReduceShapes(c.shape,a),f=p;e&&(f=v.expandShapeToKeepDim(p,i));let d=y.sizeFromShape(m),g=y.sizeFromShape(r.shape)/d,x=st({inputs:{x:c},attrs:{shape:[g,d]},backend:n}),b=Wu(r.dtype),w=Un(x,b,"sum",n),C=st({inputs:{x:w},attrs:{shape:f},backend:n});return n.disposeIntermediateTensorInfo(x),n.disposeIntermediateTensorInfo(w),l&&n.disposeIntermediateTensorInfo(c),C}function Wc(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n;return vM(o,s,i,e)}var NM={kernelName:$s,backendName:"webgl",kernelFunc:Wc};function Oe(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{perm:s}=n,i=e,a=o.shape.length,u=new Array(a);for(let c=0;c`Error in matMul: inner shapes (${p}) and (${m}) of Tensors with shapes ${r.shape} and ${t.shape} and transposeA=${e} and transposeB=${n} must match.`);let N=e?[x,p,f]:[x,f,p],_=n?[b,d,m]:[b,m,d],A=st({inputs:{x:r},backend:o,attrs:{shape:N}}),$=st({inputs:{x:t},backend:o,attrs:{shape:_}}),F=[A,$],P=Math.max(x,b),V=e?A.shape[1]:A.shape[2],G=s!=null,W=i!=null,q=u==="leakyrelu",H=u!=null?bl(u,!0):null,j=G||W||q||H!=null,Y;if((f===1||d===1)&&V>dk&&j===!1){let et=A,rt=$;e&&(et=Oe({inputs:{x:A},backend:o,attrs:{perm:[0,2,1]}}),F.push(et)),n&&(rt=Oe({inputs:{x:$},backend:o,attrs:{perm:[0,2,1]}}),F.push(rt));let ot=d!==1,at=d===1,nt=et;ot&&(nt=st({inputs:{x:et},backend:o,attrs:{shape:[P,V,1]}}),F.push(nt));let it=d===1?2:1,dt=rt;at&&(dt=st({inputs:{x:rt},backend:o,attrs:{shape:[P,1,V]}}),F.push(dt));let ht=eg({inputs:{a:nt,b:dt},backend:o});Y=Wc({inputs:{x:ht},backend:o,attrs:{axis:it,keepDims:!0}}),F.push(ht)}else{let et=sr(r.dtype,t.dtype),rt=new vd(N,_,[P,f,d],e,n,G,H,W,q),ot=[A,$];if(s!=null&&ot.push(s),W&&ot.push(i),q){let at=o.makeTensorInfo([],"float32",y.createScalarValue(a,"float32"));ot.push(at),F.push(at)}Y=o.runWebGLProgram(rt,ot,et)}let Z=st({inputs:{x:Y},backend:o,attrs:{shape:C}});F.push(Y);for(let et of F)o.disposeIntermediateTensorInfo(et);return Z}function wet(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s,bias:i,preluActivationWeights:a}=t,{transposeA:u,transposeB:l,activation:c,leakyreluAlpha:p}=n;return Uc({a:o,b:s,transposeA:u,transposeB:l,backend:e,bias:i,preluActivationWeights:a,leakyreluAlpha:p,activation:c})}var kM={kernelName:Ci,backendName:"webgl",kernelFunc:wet};var EM="return abs(x);";function Cet(r){let{inputs:t,backend:e}=r,{x:n}=t;if(e.shouldExecuteOnCPU([n])&&n.dtype!=="complex64"){let s=e.texData.get(n.dataId),i=Mw(s.values);return e.makeTensorInfo(n.shape,n.dtype,i)}let o;return z().getBool("WEBGL_PACK_UNARY_OPERATIONS")?o=new so(n.shape,EM):o=new tn(n.shape,EM),e.runWebGLProgram(o,[n],n.dtype)}var _M={kernelName:ii,backendName:"webgl",kernelFunc:Cet};var Iet=fr+` if (abs(x) > 1.) { return NAN; } return acos(x); -`,set=Ct({opSnippet:oet}),wM={kernelName:ra,backendName:"webgl",kernelFunc:set};var iet=pr+` +`,vet=Ct({opSnippet:Iet}),AM={kernelName:oa,backendName:"webgl",kernelFunc:vet};var Net=fr+` if (x < 1.0) return NAN; -return log(x + sqrt(x * x - 1.0));`,aet=Ct({opSnippet:iet}),CM={kernelName:na,backendName:"webgl",kernelFunc:aet};var IM="return a + b;",uet=le({opSnippet:IM,packedOpSnippet:IM,supportsComplex:!0,cpuKernelImpl:eL}),vM={kernelName:Yn,backendName:"webgl",kernelFunc:uet};var Gw=class{constructor(t,e){this.outputShape=[],this.outputShape=t,this.variableNames=e.map((s,i)=>`T${i}`);let n=[];this.variableNames.forEach(s=>{n.push(`float v${s} = get${s}AtOutCoords();`)});let o=this.variableNames.map(s=>`v${s}`).join(" + ");this.userCode=` +return log(x + sqrt(x * x - 1.0));`,Tet=Ct({opSnippet:Net}),$M={kernelName:sa,backendName:"webgl",kernelFunc:Tet};var DM="return a + b;",ket=le({opSnippet:DM,packedOpSnippet:DM,supportsComplex:!0,cpuKernelImpl:cL}),RM={kernelName:Zn,backendName:"webgl",kernelFunc:ket};var Kw=class{constructor(t,e){this.outputShape=[],this.outputShape=t,this.variableNames=e.map((s,i)=>`T${i}`);let n=[];this.variableNames.forEach(s=>{n.push(`float v${s} = get${s}AtOutCoords();`)});let o=this.variableNames.map(s=>`v${s}`).join(" + ");this.userCode=` void main() { ${n.join(` `)} @@ -1545,7 +1539,7 @@ return log(x + sqrt(x * x - 1.0));`,aet=Ct({opSnippet:iet}),CM={kernelName:na,ba float result = ${o}; setOutput(result); } - `}};var Ww=class{constructor(t,e){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.variableNames=e.map((s,i)=>`T${i}`);let n=[];this.variableNames.forEach(s=>{n.push(`vec4 v${s} = get${s}AtOutCoords();`)});let o=this.variableNames.map(s=>`v${s}`).join(" + ");this.userCode=` + `}};var jw=class{constructor(t,e){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.variableNames=e.map((s,i)=>`T${i}`);let n=[];this.variableNames.forEach(s=>{n.push(`vec4 v${s} = get${s}AtOutCoords();`)});let o=this.variableNames.map(s=>`v${s}`).join(" + ");this.userCode=` void main() { ${n.join(` `)} @@ -1553,7 +1547,7 @@ return log(x + sqrt(x * x - 1.0));`,aet=Ct({opSnippet:iet}),CM={kernelName:na,ba vec4 result = ${o}; setOutput(result); } - `}};function Uw(r){let{inputs:t,backend:e}=r,n=t;if(n.length===1)return tr({inputs:{x:n[0]},backend:e});if(n.length>M().get("WEBGL_MAX_TEXTURES_IN_SHADER")){let u=Math.floor(n.length/2),l=Uw({inputs:n.slice(0,u),backend:e}),c=Uw({inputs:n.slice(u),backend:e});return Uw({inputs:[l,c],backend:e})}let o=n.map(u=>u.dtype).reduce((u,l)=>or(u,l)),s=n.map(u=>u.shape),a=M().getBool("WEBGL_PACK")?new Ww(n[0].shape,s):new Gw(n[0].shape,s);return e.runWebGLProgram(a,n,o)}var SM={kernelName:Vo,backendName:"webgl",kernelFunc:Uw};function cet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=y.parseAxisParam(s,o.shape),l=u,c=S.getAxesPermutation(l,a),p=o;c!=null&&(p=Fe({inputs:{x:o},backend:e,attrs:{perm:c}}),l=S.getInnerMostAxes(l.length,a)),S.assertAxesAreInnerMostDims("all",l,a);let[m,f]=S.computeOutAndReduceShapes(p.shape,l),d=y.sizeFromShape(f),h=st({inputs:{x:p},backend:e,attrs:{shape:[-1,d]}}),g=Gn(h,h.dtype,"all",e),x;if(i){let b=S.expandShapeToKeepDim(m,u);x=st({inputs:{x:g},backend:e,attrs:{shape:b}})}else x=st({inputs:{x:g},backend:e,attrs:{shape:m}});return e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(g),c!=null&&e.disposeIntermediateTensorInfo(p),x}var NM={kernelName:oa,backendName:"webgl",kernelFunc:cet};function pet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=y.parseAxisParam(s,o.shape),l=u,c=S.getAxesPermutation(l,a),p=o;c!=null&&(p=Fe({inputs:{x:o},backend:e,attrs:{perm:c}}),l=S.getInnerMostAxes(l.length,a)),S.assertAxesAreInnerMostDims("any",l,a);let[m,f]=S.computeOutAndReduceShapes(p.shape,l),d=y.sizeFromShape(f),h=st({inputs:{x:p},backend:e,attrs:{shape:[-1,d]}}),g=Gn(h,h.dtype,"any",e),x;if(i){let b=S.expandShapeToKeepDim(m,u);x=st({inputs:{x:g},backend:e,attrs:{shape:b}})}else x=st({inputs:{x:g},backend:e,attrs:{shape:m}});return e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(g),c!=null&&e.disposeIntermediateTensorInfo(p),x}var kM={kernelName:sa,backendName:"webgl",kernelFunc:pet};var Hw=class{constructor(t,e,n){this.variableNames=["A"];let{windowSize:o,batchSize:s,outSize:i}=t;n||this.variableNames.push("bestIndicesA"),this.outputShape=[s,i];let a=e==="max"?">":"<",u=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode=` + `}};function Xw(r){let{inputs:t,backend:e}=r,n=t;if(n.length===1)return tr({inputs:{x:n[0]},backend:e});if(n.length>z().get("WEBGL_MAX_TEXTURES_IN_SHADER")){let u=Math.floor(n.length/2),l=Xw({inputs:n.slice(0,u),backend:e}),c=Xw({inputs:n.slice(u),backend:e});return Xw({inputs:[l,c],backend:e})}let o=n.map(u=>u.dtype).reduce((u,l)=>sr(u,l)),s=n.map(u=>u.shape),a=z().getBool("WEBGL_PACK")?new jw(n[0].shape,s):new Kw(n[0].shape,s);return e.runWebGLProgram(a,n,o)}var FM={kernelName:Go,backendName:"webgl",kernelFunc:Xw};function Eet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=y.parseAxisParam(s,o.shape),l=u,c=v.getAxesPermutation(l,a),p=o;c!=null&&(p=Oe({inputs:{x:o},backend:e,attrs:{perm:c}}),l=v.getInnerMostAxes(l.length,a)),v.assertAxesAreInnerMostDims("all",l,a);let[m,f]=v.computeOutAndReduceShapes(p.shape,l),d=y.sizeFromShape(f),h=st({inputs:{x:p},backend:e,attrs:{shape:[-1,d]}}),g=Un(h,h.dtype,"all",e),x;if(i){let b=v.expandShapeToKeepDim(m,u);x=st({inputs:{x:g},backend:e,attrs:{shape:b}})}else x=st({inputs:{x:g},backend:e,attrs:{shape:m}});return e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(g),c!=null&&e.disposeIntermediateTensorInfo(p),x}var OM={kernelName:ia,backendName:"webgl",kernelFunc:Eet};function _et(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=y.parseAxisParam(s,o.shape),l=u,c=v.getAxesPermutation(l,a),p=o;c!=null&&(p=Oe({inputs:{x:o},backend:e,attrs:{perm:c}}),l=v.getInnerMostAxes(l.length,a)),v.assertAxesAreInnerMostDims("any",l,a);let[m,f]=v.computeOutAndReduceShapes(p.shape,l),d=y.sizeFromShape(f),h=st({inputs:{x:p},backend:e,attrs:{shape:[-1,d]}}),g=Un(h,h.dtype,"any",e),x;if(i){let b=v.expandShapeToKeepDim(m,u);x=st({inputs:{x:g},backend:e,attrs:{shape:b}})}else x=st({inputs:{x:g},backend:e,attrs:{shape:m}});return e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(g),c!=null&&e.disposeIntermediateTensorInfo(p),x}var PM={kernelName:aa,backendName:"webgl",kernelFunc:_et};var Yw=class{constructor(t,e,n){this.variableNames=["A"];let{windowSize:o,batchSize:s,outSize:i}=t;n||this.variableNames.push("bestIndicesA"),this.outputShape=[s,i];let a=e==="max"?">":"<",u=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode=` void main() { ivec2 coords = getOutputCoords(); int batch = coords[0]; @@ -1573,7 +1567,7 @@ return log(x + sqrt(x * x - 1.0));`,aet=Ct({opSnippet:iet}),CM={kernelName:na,ba } setOutput(float(bestIndex)); } - `}};var qw=class{constructor(t,e,n,o){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,y.assert(t.length>2,()=>`Packed arg${n.charAt(0).toUpperCase()+n.slice(1)} supports only inputs with rank above 2.`);let s=t[t.length-1],i=Math.ceil(s/e);this.outputShape=t.slice(0,-1),i>1&&this.outputShape.push(i),o||this.variableNames.push("bestIndicesA");let a=this.outputShape,u=a.length,l=zt(u),c=Qe("coords",u),p,m;if(i===1){m=u+1;let $=zt(m);p=` + `}};var Zw=class{constructor(t,e,n,o){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,y.assert(t.length>2,()=>`Packed arg${n.charAt(0).toUpperCase()+n.slice(1)} supports only inputs with rank above 2.`);let s=t[t.length-1],i=Math.ceil(s/e);this.outputShape=t.slice(0,-1),i>1&&this.outputShape.push(i),o||this.variableNames.push("bestIndicesA");let a=this.outputShape,u=a.length,l=zt(u),c=Qe("coords",u),p,m;if(i===1){m=u+1;let $=zt(m);p=` ${$} sourceLocR = ${$}(${c.join()}, 0); ++${c[u-1]}; ${$} sourceLocG = ${$}(${c.join()}, 0); @@ -1635,25 +1629,25 @@ return log(x + sqrt(x * x - 1.0));`,aet=Ct({opSnippet:iet}),CM={kernelName:na,ba } setOutput(bestIndex); } - `}};function TM(r,t,e,n=null){let o=t.shape[0],s=t.shape[1];n!=null&&(o=n.shape[0],s=n.shape[1]);let i=S.computeOptimalWindowSize(s),a={windowSize:i,inSize:s,batchSize:o,outSize:Math.ceil(s/i)},u=new Hw(a,e,n==null),l=[t];n!=null&&l.push(n);let c=r.runWebGLProgram(u,l,"int32");if(c.shape[1]===1)return c;let p=TM(r,t,e,c);return r.disposeIntermediateTensorInfo(c),p}function EM(r,t,e,n=null){let o=n!=null?n.shape:t.shape,s=o[o.length-1],i=S.computeOptimalWindowSize(s),a=new qw(o,i,e,n==null),u=n==null?[t]:[t,n],l=r.runWebGLProgram(a,u,"int32");if(l.shape.length===t.shape.length){let c=EM(r,t,e,l);return r.disposeIntermediateTensorInfo(l),c}return l}function Kw(r,t,e,n){let o=[e];if(S.assertAxesAreInnerMostDims("arg"+n.charAt(0).toUpperCase()+n.slice(1),o,t.shape.length),!M().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){let s=[],i=r.texData.get(t.dataId),a=i!==null&&i.isPacked,u=t;a&&(u=r.unpackTensor(t),s.push(u));let[l,c]=S.computeOutAndReduceShapes(u.shape,o),p=y.sizeFromShape(c),m=st({inputs:{x:u},backend:r,attrs:{shape:[-1,p]}});s.push(m);let f=TM(r,m,n);s.push(f);let d=st({inputs:{x:f},backend:r,attrs:{shape:l}});return s.forEach(h=>r.disposeIntermediateTensorInfo(h)),d}return EM(r,t,n)}function met(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s}=n,i=y.parseAxisParam(s,o.shape),a=S.getAxesPermutation(i,o.shape.length),u=o,l=[];a!=null&&(u=Fe({inputs:{x:o},backend:e,attrs:{perm:a}}),l.push(u),i=S.getInnerMostAxes(i.length,u.shape.length)),S.assertAxesAreInnerMostDims("argMax",[i[0]],u.shape.length);let c=Kw(e,u,i[0],"max");return l.forEach(p=>e.disposeIntermediateTensorInfo(p)),c}var _M={kernelName:Go,backendName:"webgl",kernelFunc:met};function fet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s}=n,i=y.parseAxisParam(s,o.shape),a=S.getAxesPermutation(i,o.shape.length),u=o,l=[];a!=null&&(u=Fe({inputs:{x:o},backend:e,attrs:{perm:a}}),l.push(u),i=S.getInnerMostAxes(i.length,u.shape.length)),S.assertAxesAreInnerMostDims("argMin",[i[0]],u.shape.length);let c=Kw(e,u,i[0],"min");return l.forEach(p=>e.disposeIntermediateTensorInfo(p)),c}var AM={kernelName:Nl,backendName:"webgl",kernelFunc:fet};var det=pr+` + `}};function LM(r,t,e,n=null){let o=t.shape[0],s=t.shape[1];n!=null&&(o=n.shape[0],s=n.shape[1]);let i=v.computeOptimalWindowSize(s),a={windowSize:i,inSize:s,batchSize:o,outSize:Math.ceil(s/i)},u=new Yw(a,e,n==null),l=[t];n!=null&&l.push(n);let c=r.runWebGLProgram(u,l,"int32");if(c.shape[1]===1)return c;let p=LM(r,t,e,c);return r.disposeIntermediateTensorInfo(c),p}function MM(r,t,e,n=null){let o=n!=null?n.shape:t.shape,s=o[o.length-1],i=v.computeOptimalWindowSize(s),a=new Zw(o,i,e,n==null),u=n==null?[t]:[t,n],l=r.runWebGLProgram(a,u,"int32");if(l.shape.length===t.shape.length){let c=MM(r,t,e,l);return r.disposeIntermediateTensorInfo(l),c}return l}function Jw(r,t,e,n){let o=[e];if(v.assertAxesAreInnerMostDims("arg"+n.charAt(0).toUpperCase()+n.slice(1),o,t.shape.length),!z().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){let s=[],i=r.texData.get(t.dataId),a=i!==null&&i.isPacked,u=t;a&&(u=r.unpackTensor(t),s.push(u));let[l,c]=v.computeOutAndReduceShapes(u.shape,o),p=y.sizeFromShape(c),m=st({inputs:{x:u},backend:r,attrs:{shape:[-1,p]}});s.push(m);let f=LM(r,m,n);s.push(f);let d=st({inputs:{x:f},backend:r,attrs:{shape:l}});return s.forEach(h=>r.disposeIntermediateTensorInfo(h)),d}return MM(r,t,n)}function Aet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s}=n,i=y.parseAxisParam(s,o.shape),a=v.getAxesPermutation(i,o.shape.length),u=o,l=[];a!=null&&(u=Oe({inputs:{x:o},backend:e,attrs:{perm:a}}),l.push(u),i=v.getInnerMostAxes(i.length,u.shape.length)),v.assertAxesAreInnerMostDims("argMax",[i[0]],u.shape.length);let c=Jw(e,u,i[0],"max");return l.forEach(p=>e.disposeIntermediateTensorInfo(p)),c}var zM={kernelName:Wo,backendName:"webgl",kernelFunc:Aet};function $et(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s}=n,i=y.parseAxisParam(s,o.shape),a=v.getAxesPermutation(i,o.shape.length),u=o,l=[];a!=null&&(u=Oe({inputs:{x:o},backend:e,attrs:{perm:a}}),l.push(u),i=v.getInnerMostAxes(i.length,u.shape.length)),v.assertAxesAreInnerMostDims("argMin",[i[0]],u.shape.length);let c=Jw(e,u,i[0],"min");return l.forEach(p=>e.disposeIntermediateTensorInfo(p)),c}var BM={kernelName:kl,backendName:"webgl",kernelFunc:$et};var Det=fr+` if (abs(x) > 1.) { return NAN; } return asin(x); -`,het=Ct({opSnippet:det}),$M={kernelName:ia,backendName:"webgl",kernelFunc:het};var get=pr+"return log(x + sqrt(x * x + 1.0));",xet=Ct({opSnippet:get}),DM={kernelName:aa,backendName:"webgl",kernelFunc:xet};var yet=pr+` +`,Ret=Ct({opSnippet:Det}),VM={kernelName:la,backendName:"webgl",kernelFunc:Ret};var Fet=fr+"return log(x + sqrt(x * x + 1.0));",Oet=Ct({opSnippet:Fet}),GM={kernelName:ua,backendName:"webgl",kernelFunc:Oet};var Pet=fr+` return atan(x); -`,bet=Ct({opSnippet:yet}),RM={kernelName:la,backendName:"webgl",kernelFunc:bet};var wet=bd+` +`,Let=Ct({opSnippet:Pet}),WM={kernelName:ca,backendName:"webgl",kernelFunc:Let};var Met=Sd+` return atan(a, b); -`,Cet=` +`,zet=` vec4 result = atan(a, b); bvec4 isNaNA = isnan(a); bvec4 isNaNB = isnan(b); bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w); - `+ji+` + `+Yi+` return result; -`,Iet=le({opSnippet:wet,packedOpSnippet:Cet}),FM={kernelName:ca,backendName:"webgl",kernelFunc:Iet};var vet=pr+` +`,Bet=le({opSnippet:Met,packedOpSnippet:zet}),UM={kernelName:ma,backendName:"webgl",kernelFunc:Bet};var Vet=fr+` if ((x < -1.0) || (x > 1.0)) return NAN; -return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelName:ua,backendName:"webgl",kernelFunc:Net};var Qs=class{constructor(t,e,n,o=!1,s=!1){if(this.variableNames=["x"],e==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let i=t.filterWidth,a=t.strideHeight,u=t.strideWidth,l=t.dilationHeight,c=t.dilationWidth,p=t.effectiveFilterHeight,m=t.effectiveFilterWidth,f=t.padInfo.top,d=t.padInfo.left;this.outputShape=t.outShape;let h=e==="avg",g=`((batch * ${t.inHeight} + xR) * ${t.inWidth} + xC) * ${t.inChannels} + d`,x=`(xR * ${t.inWidth} + xC) * ${t.inChannels} + d`,b="0.0";if(h||(b="-1.0 / 1e-20"),n){let $=">=";this.userCode=` +return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Get=Ct({opSnippet:Vet}),HM={kernelName:pa,backendName:"webgl",kernelFunc:Get};var ei=class{constructor(t,e,n,o=!1,s=!1){if(this.variableNames=["x"],e==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let i=t.filterWidth,a=t.strideHeight,u=t.strideWidth,l=t.dilationHeight,c=t.dilationWidth,p=t.effectiveFilterHeight,m=t.effectiveFilterWidth,f=t.padInfo.top,d=t.padInfo.left;this.outputShape=t.outShape;let h=e==="avg",g=`((batch * ${t.inHeight} + xR) * ${t.inWidth} + xC) * ${t.inChannels} + d`,x=`(xR * ${t.inWidth} + xC) * ${t.inChannels} + d`,b="0.0";if(h||(b="-1.0 / 1e-20"),n){let $=">=";this.userCode=` const ivec2 strides = ivec2(${a}, ${u}); const ivec2 pads = ivec2(${f}, ${d}); @@ -1794,7 +1788,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN } setOutput(${C}); } - `}},Au=class{constructor(t,e,n,o=!1,s=!1){if(this.variableNames=["x"],e==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let i=t.filterWidth,a=t.strideDepth,u=t.strideHeight,l=t.strideWidth,c=t.dilationDepth,p=t.dilationHeight,m=t.dilationWidth,f=t.effectiveFilterDepth,d=t.effectiveFilterHeight,h=t.effectiveFilterWidth,g=t.padInfo.front,x=t.padInfo.top,b=t.padInfo.left;this.outputShape=t.outShape;let w=e==="avg",C="0.0";if(w||(C="-1.0 / 1e-20"),n){let P=">=";this.userCode=` + `}},$u=class{constructor(t,e,n,o=!1,s=!1){if(this.variableNames=["x"],e==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let i=t.filterWidth,a=t.strideDepth,u=t.strideHeight,l=t.strideWidth,c=t.dilationDepth,p=t.dilationHeight,m=t.dilationWidth,f=t.effectiveFilterDepth,d=t.effectiveFilterHeight,h=t.effectiveFilterWidth,g=t.padInfo.front,x=t.padInfo.top,b=t.padInfo.left;this.outputShape=t.outShape;let w=e==="avg",C="0.0";if(w||(C="-1.0 / 1e-20"),n){let P=">=";this.userCode=` const ivec3 strides = ivec3(${a}, ${u}, ${l}); const ivec3 pads = ivec3(${g}, ${x}, ${b}); @@ -1957,7 +1951,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN setOutput(${_}); } } - `}};function ket(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t;Zs(o,"avgPool");let{filterSize:s,strides:i,pad:a,dimRoundingMode:u}=n,l=1;y.assert(S.eitherStridesOrDilationsAreOne(i,l),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);let c=S.computePool2DInfo(o.shape,s,i,l,a,u);if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))return tr({inputs:{x:o},backend:e});let p=new Qs(c,"avg",!1);return e.runWebGLProgram(p,[o],"float32")}var PM={kernelName:Wo,backendName:"webgl",kernelFunc:ket};function Tet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{filterSize:s,strides:i,pad:a,dimRoundingMode:u,dataFormat:l}=n,c=[1,1,1],p=S.computePool3DInfo(o.shape,s,i,c,a,u,l),m=new Au(p,"avg",!1);return e.runWebGLProgram(m,[o],"float32")}var LM={kernelName:kl,backendName:"webgl",kernelFunc:Tet};var jw=class{constructor(t){this.variableNames=["dy"],this.outputShape=t.inShape;let e=t.filterHeight,n=t.filterWidth,o=t.strideHeight,s=t.strideWidth,i=t.dilationHeight,a=t.dilationWidth,u=t.effectiveFilterHeight,l=t.effectiveFilterWidth,c=u-1-t.padInfo.top,p=l-1-t.padInfo.left,m=1/(e*n);this.userCode=` + `}};function Wet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t;Qs(o,"avgPool");let{filterSize:s,strides:i,pad:a,dimRoundingMode:u}=n,l=1;y.assert(v.eitherStridesOrDilationsAreOne(i,l),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);let c=v.computePool2DInfo(o.shape,s,i,l,a,u);if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))return tr({inputs:{x:o},backend:e});let p=new ei(c,"avg",!1);return e.runWebGLProgram(p,[o],"float32")}var qM={kernelName:Uo,backendName:"webgl",kernelFunc:Wet};function Uet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{filterSize:s,strides:i,pad:a,dimRoundingMode:u,dataFormat:l}=n,c=[1,1,1],p=v.computePool3DInfo(o.shape,s,i,c,a,u,l),m=new $u(p,"avg",!1);return e.runWebGLProgram(m,[o],"float32")}var KM={kernelName:El,backendName:"webgl",kernelFunc:Uet};var Qw=class{constructor(t){this.variableNames=["dy"],this.outputShape=t.inShape;let e=t.filterHeight,n=t.filterWidth,o=t.strideHeight,s=t.strideWidth,i=t.dilationHeight,a=t.dilationWidth,u=t.effectiveFilterHeight,l=t.effectiveFilterWidth,c=u-1-t.padInfo.top,p=l-1-t.padInfo.left,m=1/(e*n);this.userCode=` const ivec2 pads = ivec2(${c}, ${p}); const float avgMultiplier = float(${m}); @@ -1999,7 +1993,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN } setOutput(dotProd); } - `}},Xw=class{constructor(t){this.variableNames=["dy"],this.outputShape=t.inShape;let e=t.filterDepth,n=t.filterHeight,o=t.filterWidth,s=t.strideDepth,i=t.strideHeight,a=t.strideWidth,u=t.dilationDepth,l=t.dilationHeight,c=t.dilationWidth,p=t.effectiveFilterDepth,m=t.effectiveFilterHeight,f=t.effectiveFilterWidth,d=p-1-t.padInfo.front,h=m-1-t.padInfo.top,g=f-1-t.padInfo.left,x=1/(e*n*o);this.userCode=` + `}},tC=class{constructor(t){this.variableNames=["dy"],this.outputShape=t.inShape;let e=t.filterDepth,n=t.filterHeight,o=t.filterWidth,s=t.strideDepth,i=t.strideHeight,a=t.strideWidth,u=t.dilationDepth,l=t.dilationHeight,c=t.dilationWidth,p=t.effectiveFilterDepth,m=t.effectiveFilterHeight,f=t.effectiveFilterWidth,d=p-1-t.padInfo.front,h=m-1-t.padInfo.top,g=f-1-t.padInfo.left,x=1/(e*n*o);this.userCode=` const ivec3 pads = ivec3(${d}, ${h}, ${g}); const float avgMultiplier = float(${x}); @@ -2055,7 +2049,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN } setOutput(dotProd); } - `}};function Eet(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s,{filterSize:a,strides:u,pad:l,dimRoundingMode:c}=n,p=[1,1,1],m=S.computePool3DInfo(i.shape,a,u,p,l,c),f=new Xw(m);return e.runWebGLProgram(f,[o],i.dtype)}var MM={kernelName:lp,backendName:"webgl",kernelFunc:Eet};function _et(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s;Zs([o,s],"avgPoolGrad");let{filterSize:a,strides:u,pad:l}=n,c=S.computePool2DInfo(i.shape,a,u,1,l),p=new jw(c);return e.runWebGLProgram(p,[o],i.dtype)}var zM={kernelName:ap,backendName:"webgl",kernelFunc:_et};function Aet(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s}=t,{transposeA:i,transposeB:a}=n;return Uc({a:o,b:s,transposeA:i,transposeB:a,backend:e})}var BM={kernelName:Uo,backendName:"webgl",kernelFunc:Aet};var Yw=class{constructor(t,e,n,o,s,i){this.outputShape=[],this.variableNames=["x","mean","variance"],S.assertAndGetBroadcastShape(t,e),S.assertAndGetBroadcastShape(t,n);let a="0.0";o!=null&&(S.assertAndGetBroadcastShape(t,o),this.variableNames.push("offset"),a="getOffsetAtOutCoords()");let u="1.0";s!=null&&(S.assertAndGetBroadcastShape(t,s),this.variableNames.push("scale"),u="getScaleAtOutCoords()"),this.outputShape=t,this.userCode=` + `}};function Het(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s,{filterSize:a,strides:u,pad:l,dimRoundingMode:c}=n,p=[1,1,1],m=v.computePool3DInfo(i.shape,a,u,p,l,c),f=new tC(m);return e.runWebGLProgram(f,[o],i.dtype)}var jM={kernelName:lp,backendName:"webgl",kernelFunc:Het};function qet(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s;Qs([o,s],"avgPoolGrad");let{filterSize:a,strides:u,pad:l}=n,c=v.computePool2DInfo(i.shape,a,u,1,l),p=new Qw(c);return e.runWebGLProgram(p,[o],i.dtype)}var XM={kernelName:ap,backendName:"webgl",kernelFunc:qet};function Ket(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s}=t,{transposeA:i,transposeB:a}=n;return Uc({a:o,b:s,transposeA:i,transposeB:a,backend:e})}var YM={kernelName:Ho,backendName:"webgl",kernelFunc:Ket};var eC=class{constructor(t,e,n,o,s,i){this.outputShape=[],this.variableNames=["x","mean","variance"],v.assertAndGetBroadcastShape(t,e),v.assertAndGetBroadcastShape(t,n);let a="0.0";o!=null&&(v.assertAndGetBroadcastShape(t,o),this.variableNames.push("offset"),a="getOffsetAtOutCoords()");let u="1.0";s!=null&&(v.assertAndGetBroadcastShape(t,s),this.variableNames.push("scale"),u="getScaleAtOutCoords()"),this.outputShape=t,this.userCode=` void main() { float x = getXAtOutCoords(); float mean = getMeanAtOutCoords(); @@ -2065,7 +2059,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN float inv = scale * inversesqrt(variance + float(${i})); setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1))); } - `}};var Zw=class{constructor(t,e,n,o,s,i){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],S.assertAndGetBroadcastShape(t,e),S.assertAndGetBroadcastShape(t,n);let a="vec4(0.0)";o!=null&&(S.assertAndGetBroadcastShape(t,o),this.variableNames.push("offset"),a="getOffsetAtOutCoords()");let u="vec4(1.0)";s!=null&&(S.assertAndGetBroadcastShape(t,s),this.variableNames.push("scale"),u="getScaleAtOutCoords()"),this.outputShape=t,this.userCode=` + `}};var rC=class{constructor(t,e,n,o,s,i){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],v.assertAndGetBroadcastShape(t,e),v.assertAndGetBroadcastShape(t,n);let a="vec4(0.0)";o!=null&&(v.assertAndGetBroadcastShape(t,o),this.variableNames.push("offset"),a="getOffsetAtOutCoords()");let u="vec4(1.0)";s!=null&&(v.assertAndGetBroadcastShape(t,s),this.variableNames.push("scale"),u="getScaleAtOutCoords()"),this.outputShape=t,this.userCode=` void main() { vec4 offset = ${a}; vec4 scale = ${u}; @@ -2078,7 +2072,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN setOutput((x - mean) * inv + offset); } - `}};var $et=({inputs:r,backend:t,attrs:e})=>{let{x:n,mean:o,variance:s,offset:i,scale:a}=r;y.assert(o.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),y.assert(i==null||o.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),y.assert(a==null||o.shape.length===a.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let{varianceEpsilon:u}=e;u==null&&(u=.001);let l=[n,o,s],c=null;i!=null&&(c=i.shape,l.push(i));let p=null;a!=null&&(p=a.shape,l.push(a));let m=M().getBool("WEBGL_PACK_NORMALIZATION")?new Zw(n.shape,o.shape,s.shape,c,p,u):new Yw(n.shape,o.shape,s.shape,c,p,u);return t.runWebGLProgram(m,l,l[0].dtype)},VM={kernelName:ns,backendName:"webgl",kernelFunc:$et};var Jw=class{constructor(t){this.variableNames=["source"],this.outputShape=t,this.rank=t.length;let e=zt(this.rank);this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let n=Det(this.rank),o,s=t.map((i,a)=>`sourceLoc.${cT[a]} = start[${a}] + coords.${cT[a]};`);o=` + `}};var jet=({inputs:r,backend:t,attrs:e})=>{let{x:n,mean:o,variance:s,offset:i,scale:a}=r;y.assert(o.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),y.assert(i==null||o.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),y.assert(a==null||o.shape.length===a.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let{varianceEpsilon:u}=e;u==null&&(u=.001);let l=[n,o,s],c=null;i!=null&&(c=i.shape,l.push(i));let p=null;a!=null&&(p=a.shape,l.push(a));let m=z().getBool("WEBGL_PACK_NORMALIZATION")?new rC(n.shape,o.shape,s.shape,c,p,u):new eC(n.shape,o.shape,s.shape,c,p,u);return t.runWebGLProgram(m,l,l[0].dtype)},ZM={kernelName:os,backendName:"webgl",kernelFunc:jet};var nC=class{constructor(t){this.variableNames=["source"],this.outputShape=t,this.rank=t.length;let e=zt(this.rank);this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let n=Xet(this.rank),o,s=t.map((i,a)=>`sourceLoc.${hk[a]} = start[${a}] + coords.${hk[a]};`);o=` ${e} sourceLoc; ${e} coords = getOutputCoords(); ${s.join(` @@ -2088,7 +2082,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN ${o} setOutput(getSource(${n})); } - `}},cT=["x","y","z","w","u","v"];function Det(r){if(r===1)return"sourceLoc";if(r<=6)return cT.slice(0,r).map(t=>"sourceLoc."+t).join(",");throw Error(`Slicing for rank ${r} is not yet supported`)}var Qw=class{constructor(t){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.rank=t.length,this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let e=zt(this.rank),n=Qe("coords",this.rank),o=Qe("sourceLoc",this.rank),s=this.rank===1?"sourceLoc":`vec2(${o.slice(-2).join()})`,i=`getChannel(getSource(${o.join()}), ${s})`,a=` + `}},hk=["x","y","z","w","u","v"];function Xet(r){if(r===1)return"sourceLoc";if(r<=6)return hk.slice(0,r).map(t=>"sourceLoc."+t).join(",");throw Error(`Slicing for rank ${r} is not yet supported`)}var oC=class{constructor(t){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.rank=t.length,this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let e=zt(this.rank),n=Qe("coords",this.rank),o=Qe("sourceLoc",this.rank),s=this.rank===1?"sourceLoc":`vec2(${o.slice(-2).join()})`,i=`getChannel(getSource(${o.join()}), ${s})`,a=` result.x = ${i}; if (++${n[this.rank-1]} < ${t[this.rank-1]}) { ++${o[this.rank-1]}; @@ -2117,7 +2111,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN ${u} setOutput(result); } - `}};function Ret(r,t,e,n){let o=n.texData.get(r.dataId),s=n.makeTensorInfo(e,r.dtype),i=n.texData.get(s.dataId);Object.assign(i,o),i.refCount=1,i.shape=e,i.dtype=r.dtype;let a=Pe.computeFlatOffset(t,y.computeStrides(r.shape));o.slice&&(a+=o.slice.flatOffset),i.slice={flatOffset:a,origDataId:o.slice&&o.slice.origDataId||r.dataId};let u=n.dataRefCount.get(i.slice.origDataId)||1;return n.dataRefCount.set(i.slice.origDataId,u+1),s}function ti(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,size:i}=n,[a,u]=Pe.parseSliceParams(o,s,i);if(Pe.assertParamsValid(o,a,u),y.sizeFromShape(u)===0)return e.makeTensorInfo(u,o.dtype,[]);if(e.shouldExecuteOnCPU([o])||o.dtype==="string"){let p=e.texData.get(o.dataId),m=$L(p.values,a,u,o.shape,o.dtype);return e.makeTensorInfo(u,o.dtype,m)}let{isPacked:l}=e.texData.get(o.dataId),c=Pe.isSliceContinous(o.shape,a,u);if(l||!c){let p=M().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Qw(u):new Jw(u),m=[a];return e.runWebGLProgram(p,[o],o.dtype,m)}return e.uploadToGPU(o.dataId),Ret(o,a,u,e)}var GM={kernelName:di,backendName:"webgl",kernelFunc:ti};var Fet=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,crops:i}=n;y.assert(o.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");let a=s.reduce((b,w)=>b*w),u=S.getReshaped(o.shape,s,a),l=S.getPermuted(u.length,s.length),c=S.getReshapedPermuted(o.shape,s,a),p=S.getSliceBeginCoords(i,s.length),m=S.getSliceSize(c,i,s.length),f=[],d=st({inputs:{x:o},backend:e,attrs:{shape:u}}),h=Fe({inputs:{x:d},backend:e,attrs:{perm:l}}),g=st({inputs:{x:h},backend:e,attrs:{shape:c}}),x=ti({inputs:{x:g},backend:e,attrs:{begin:p,size:m}});return f.push(d),f.push(h),f.push(g),f.forEach(b=>e.disposeIntermediateTensorInfo(b)),x},WM={kernelName:si,backendName:"webgl",kernelFunc:Fet};function Oet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,weights:s}=t,{size:i}=n,a=e.readSync(o.dataId),u=e.readSync(s.dataId),l=Dw(a,u,s.dtype,s.shape,i);return e.makeTensorInfo([i],s.dtype,l)}var UM={kernelName:up,backendName:"webgl",kernelFunc:Oet};function Pet(r){let{inputs:t,backend:e}=r,{s0:n,s1:o}=t,s=e.readSync(n.dataId),i=e.readSync(o.dataId),a=S.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return e.makeTensorInfo([a.length],"int32",Int32Array.from(a))}var HM={kernelName:cp,backendName:"webgl",kernelFunc:Pet};var Let="return float(a != b);",pT=le({opSnippet:Let,cpuKernelImpl:vL,dtype:"bool"}),qM={kernelName:Aa,backendName:"webgl",kernelFunc:pT};function yl(r){let{inputs:t,backend:e}=r,{input:n}=t,o=e.texData.get(n.dataId);return tr({inputs:{x:o.complexTensorInfos.real},backend:e})}var KM={kernelName:Dp,backendName:"webgl",kernelFunc:yl};var Met="return float(int(x));";function jM(r,t){let e=new tn(r.shape,Met),n=t.runWebGLProgram(e,[r],"int32");return{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}function mT(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dtype:s}=n;if(s==="complex64"){if(o.dtype==="complex64")return tr({inputs:{x:o},backend:e});let i=Ne(o.shape),a=mT({inputs:{x:o},backend:e,attrs:{dtype:"float32"}}),u=Tn({inputs:{real:a,imag:i},backend:e});return i.dispose(),e.disposeIntermediateTensorInfo(a),u}if(o.dtype==="complex64"){let i=yl({inputs:{input:o},backend:e}),a=mT({inputs:{x:i},backend:e,attrs:{dtype:s}});return e.disposeIntermediateTensorInfo(i),a}if(!y.hasEncodingLoss(o.dtype,s)){let i=tr({inputs:{x:o},backend:e});return{dataId:i.dataId,shape:i.shape,dtype:s}}if(e.shouldExecuteOnCPU([o])){let i=e.texData.get(o.dataId).values,[a,u,l]=nL(i,o.shape,o.dtype,s);return e.makeTensorInfo(a,u,l)}if(s==="int32")return jM(o,e);if(s==="bool"){let i=e.makeTensorInfo([],"bool",y.getTypedArrayFromDType("bool",1)),u=pT({inputs:{a:o,b:i},backend:e});return e.disposeIntermediateTensorInfo(i),u}throw new Error(`Error in Cast: failed to cast ${o.dtype} to ${s}`)}var XM={kernelName:io,backendName:"webgl",kernelFunc:mT};var YM="return ceil(x);",zet=Ct({opSnippet:YM,packedOpSnippet:YM,cpuKernelImpl:oL}),ZM={kernelName:Ho,backendName:"webgl",kernelFunc:zet};var tC=class{constructor(t){this.variableNames=["A"],this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=t,this.userCode=` + `}};function Yet(r,t,e,n){let o=n.texData.get(r.dataId),s=n.makeTensorInfo(e,r.dtype),i=n.texData.get(s.dataId);Object.assign(i,o),i.refCount=1,i.shape=e,i.dtype=r.dtype;let a=Le.computeFlatOffset(t,y.computeStrides(r.shape));o.slice&&(a+=o.slice.flatOffset),i.slice={flatOffset:a,origDataId:o.slice&&o.slice.origDataId||r.dataId};let u=n.dataRefCount.get(i.slice.origDataId)||1;return n.dataRefCount.set(i.slice.origDataId,u+1),s}function ri(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,size:i}=n,[a,u]=Le.parseSliceParams(o,s,i);if(Le.assertParamsValid(o,a,u),y.sizeFromShape(u)===0)return e.makeTensorInfo(u,o.dtype,[]);if(e.shouldExecuteOnCPU([o])||o.dtype==="string"){let p=e.texData.get(o.dataId),m=VL(p.values,a,u,o.shape,o.dtype);return e.makeTensorInfo(u,o.dtype,m)}let{isPacked:l}=e.texData.get(o.dataId),c=Le.isSliceContinous(o.shape,a,u);if(l||!c){let p=z().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new oC(u):new nC(u),m=[a];return e.runWebGLProgram(p,[o],o.dtype,m)}return e.uploadToGPU(o.dataId),Yet(o,a,u,e)}var JM={kernelName:gi,backendName:"webgl",kernelFunc:ri};var Zet=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,crops:i}=n;y.assert(o.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");let a=s.reduce((b,w)=>b*w),u=v.getReshaped(o.shape,s,a),l=v.getPermuted(u.length,s.length),c=v.getReshapedPermuted(o.shape,s,a),p=v.getSliceBeginCoords(i,s.length),m=v.getSliceSize(c,i,s.length),f=[],d=st({inputs:{x:o},backend:e,attrs:{shape:u}}),h=Oe({inputs:{x:d},backend:e,attrs:{perm:l}}),g=st({inputs:{x:h},backend:e,attrs:{shape:c}}),x=ri({inputs:{x:g},backend:e,attrs:{begin:p,size:m}});return f.push(d),f.push(h),f.push(g),f.forEach(b=>e.disposeIntermediateTensorInfo(b)),x},QM={kernelName:ai,backendName:"webgl",kernelFunc:Zet};function Jet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,weights:s}=t,{size:i}=n,a=e.readSync(o.dataId),u=e.readSync(s.dataId),l=Lw(a,u,s.dtype,s.shape,i);return e.makeTensorInfo([i],s.dtype,l)}var tz={kernelName:up,backendName:"webgl",kernelFunc:Jet};function Qet(r){let{inputs:t,backend:e}=r,{s0:n,s1:o}=t,s=e.readSync(n.dataId),i=e.readSync(o.dataId),a=v.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return e.makeTensorInfo([a.length],"int32",Int32Array.from(a))}var ez={kernelName:cp,backendName:"webgl",kernelFunc:Qet};var trt="return float(a != b);",gk=le({opSnippet:trt,cpuKernelImpl:DL,dtype:"bool"}),rz={kernelName:Da,backendName:"webgl",kernelFunc:gk};function wl(r){let{inputs:t,backend:e}=r,{input:n}=t,o=e.texData.get(n.dataId);return tr({inputs:{x:o.complexTensorInfos.real},backend:e})}var nz={kernelName:Rp,backendName:"webgl",kernelFunc:wl};var ert="return float(int(x));";function oz(r,t){let e=new tn(r.shape,ert),n=t.runWebGLProgram(e,[r],"int32");return{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}function xk(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dtype:s}=n;if(s==="complex64"){if(o.dtype==="complex64")return tr({inputs:{x:o},backend:e});let i=Ne(o.shape),a=xk({inputs:{x:o},backend:e,attrs:{dtype:"float32"}}),u=En({inputs:{real:a,imag:i},backend:e});return i.dispose(),e.disposeIntermediateTensorInfo(a),u}if(o.dtype==="complex64"){let i=wl({inputs:{input:o},backend:e}),a=xk({inputs:{x:i},backend:e,attrs:{dtype:s}});return e.disposeIntermediateTensorInfo(i),a}if(!y.hasEncodingLoss(o.dtype,s)){let i=tr({inputs:{x:o},backend:e});return{dataId:i.dataId,shape:i.shape,dtype:s}}if(e.shouldExecuteOnCPU([o])){let i=e.texData.get(o.dataId).values,[a,u,l]=mL(i,o.shape,o.dtype,s);return e.makeTensorInfo(a,u,l)}if(s==="int32")return oz(o,e);if(s==="bool"){let i=e.makeTensorInfo([],"bool",y.getTypedArrayFromDType("bool",1)),u=gk({inputs:{a:o,b:i},backend:e});return e.disposeIntermediateTensorInfo(i),u}throw new Error(`Error in Cast: failed to cast ${o.dtype} to ${s}`)}var sz={kernelName:lo,backendName:"webgl",kernelFunc:xk};var iz="return ceil(x);",rrt=Ct({opSnippet:iz,packedOpSnippet:iz,cpuKernelImpl:fL}),az={kernelName:qo,backendName:"webgl",kernelFunc:rrt};var sC=class{constructor(t){this.variableNames=["A"],this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=t,this.userCode=` void main() { float value = getAAtOutCoords(); @@ -2128,7 +2122,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN setOutput(clamp(value, minVal, maxVal)); } - `}};var eC=class{constructor(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=t,this.userCode=` + `}};var iC=class{constructor(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=t,this.userCode=` void main() { vec4 value = getAAtOutCoords(); @@ -2139,7 +2133,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN setOutput(clamp(value, vec4(minVal), vec4(maxVal))); } - `}};function Bet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{clipValueMin:s,clipValueMax:i}=n,a;M().getBool("WEBGL_PACK_CLIP")?a=new eC(o.shape):a=new tC(o.shape);let u=[[s],[i]];return e.runWebGLProgram(a,[o],o.dtype,u)}var JM={kernelName:ao,backendName:"webgl",kernelFunc:Bet};var rC=class{constructor(t){this.variableNames=["real","imag"],this.outputShape=t,this.userCode=` + `}};function nrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{clipValueMin:s,clipValueMax:i}=n,a;z().getBool("WEBGL_PACK_CLIP")?a=new iC(o.shape):a=new sC(o.shape);let u=[[s],[i]];return e.runWebGLProgram(a,[o],o.dtype,u)}var lz={kernelName:uo,backendName:"webgl",kernelFunc:nrt};var aC=class{constructor(t){this.variableNames=["real","imag"],this.outputShape=t,this.userCode=` void main() { float re = abs(getRealAtOutCoords()); float im = abs(getImagAtOutCoords()); @@ -2152,7 +2146,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx)) ); } - `}};function QM(r,t){return{dataId:t.dataId,dtype:t.dtype,shape:r.shape}}function Vet(r){let{inputs:t,backend:e}=r,{x:n}=t,o=e.texData.get(n.dataId),s=new rC(n.shape),i=[QM(n,o.complexTensorInfos.real),QM(n,o.complexTensorInfos.imag)];return e.runWebGLProgram(s,i,i[0].dtype)}var tz={kernelName:Tl,backendName:"webgl",kernelFunc:Vet};var nC=class{constructor(t){this.outputShape=[],this.outputShape=S.computeOutShape(t,1),this.variableNames=t.map((i,a)=>`T${a}`);let e=new Array(t.length-1);e[0]=t[0][1];for(let i=1;i`T${a}`);let e=new Array(t.length-1);e[0]=t[0][1];for(let i=1;i`T${g}`);let u=new Array(t.length-1);u[0]=t[0][e];for(let h=1;h`T${g}`);let u=new Array(t.length-1);u[0]=t[0][e];for(let h=1;h= ${u[h-1]}) { return getChannel( - getT${h}(${oC(a,l,g)}), - vec2(${oC(c,l,g)})); + getT${h}(${uC(a,l,g)}), + vec2(${uC(c,l,g)})); }`}let f=u.length,d=u[u.length-1];m+=` return getChannel( - getT${f}(${oC(a,l,d)}), - vec2(${oC(c,l,d)}));`,this.userCode=` + getT${f}(${uC(a,l,d)}), + vec2(${uC(c,l,d)}));`,this.userCode=` float getValue(${a.map(h=>"int "+h)}) { ${m} } @@ -2198,7 +2192,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN } setOutput(result); } - `}};function oC(r,t,e){let n=r.indexOf(t);return r.map((s,i)=>i===n?`${s} - ${e}`:s).join()}function Hc(r){let{inputs:t,backend:e}=r,{input:n}=t,o=e.texData.get(n.dataId);return tr({inputs:{x:o.complexTensorInfos.imag},backend:e})}var ez={kernelName:vp,backendName:"webgl",kernelFunc:Hc};function Cd(r,t,e){let n=r[0].dtype;if(n==="complex64"){let p=r.map(g=>yl({inputs:{input:g},backend:e})),m=r.map(g=>Hc({inputs:{input:g},backend:e})),f=Cd(p,t,e),d=Cd(m,t,e),h=Tn({inputs:{real:f,imag:d},backend:e});return p.forEach(g=>e.disposeIntermediateTensorInfo(g)),m.forEach(g=>e.disposeIntermediateTensorInfo(g)),e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(d),h}let o=e.shouldExecuteOnCPU(r);if(n==="string"&&(o=!0),o){let p=r.map(b=>{let w=y.sizeFromShape(b.shape.slice(t));return st({inputs:{x:b},backend:e,attrs:{shape:[-1,w]}})}),m=p.map(b=>({vals:e.readSync(b.dataId),shape:b.shape})),f=S.computeOutShape(p.map(b=>b.shape),1),d=p[0].shape[0]===1,h=sL(m,f,n,d),g=S.computeOutShape(r.map(b=>b.shape),t),x=e.makeTensorInfo(g,n,h);return p.forEach(b=>e.disposeIntermediateTensorInfo(b)),x}let s=M().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER");if(r.length>s){let p=[];for(let f=0;f1){let p=new sC(r.map(m=>m.shape),t);return e.runWebGLProgram(p,r,n)}let{tensors2D:i,outShape:a}=Get(r,t,e),u=new nC(i.map(p=>p.shape)),l=e.runWebGLProgram(u,i,n);i.forEach(p=>e.disposeIntermediateTensorInfo(p));let c=st({inputs:{x:l},attrs:{shape:a},backend:e});return e.disposeIntermediateTensorInfo(l),c}function Get(r,t,e){let n=S.computeOutShape(r.map(s=>s.shape),t);return{tensors2D:r.map(s=>st({inputs:{x:s},attrs:{shape:[-1,y.sizeFromShape(s.shape.slice(t))]},backend:e})),outShape:n}}function fT(r){let{inputs:t,backend:e,attrs:n}=r,{axis:o}=n,s=y.parseAxisParam(o,t[0].shape)[0],i=t.map(l=>l.shape);S.assertParamsConsistent(i,s);let a=S.computeOutShape(t.map(l=>l.shape),s);if(y.sizeFromShape(a)===0)return e.makeTensorInfo(a,t[0].dtype,[]);let u=t.filter(l=>y.sizeFromShape(l.shape)>0);return u.length===1?tr({inputs:{x:u[0]},backend:e}):Cd(u,s,e)}var rz={kernelName:ii,backendName:"webgl",kernelFunc:fT};var Id=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=["x","W"],this.outputShape=t.outShape;let i=t.padInfo.top,a=t.padInfo.left,u=t.strideHeight,l=t.strideWidth,c=t.dilationHeight,p=t.dilationWidth,m=t.filterHeight,f=t.filterWidth,d=Math.floor(t.inChannels/4)*4,h=t.inChannels%4,g=t.dataFormat==="channelsLast",x=g?1:2,b=g?2:3,w=g?3:1,C="",N="";n&&(o?C=`float activation(float a) { + `}};function uC(r,t,e){let n=r.indexOf(t);return r.map((s,i)=>i===n?`${s} - ${e}`:s).join()}function Hc(r){let{inputs:t,backend:e}=r,{input:n}=t,o=e.texData.get(n.dataId);return tr({inputs:{x:o.complexTensorInfos.imag},backend:e})}var pz={kernelName:Sp,backendName:"webgl",kernelFunc:Hc};function Nd(r,t,e){let n=r[0].dtype;if(n==="complex64"){let p=r.map(g=>wl({inputs:{input:g},backend:e})),m=r.map(g=>Hc({inputs:{input:g},backend:e})),f=Nd(p,t,e),d=Nd(m,t,e),h=En({inputs:{real:f,imag:d},backend:e});return p.forEach(g=>e.disposeIntermediateTensorInfo(g)),m.forEach(g=>e.disposeIntermediateTensorInfo(g)),e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(d),h}let o=e.shouldExecuteOnCPU(r);if(n==="string"&&(o=!0),o){let p=r.map(b=>{let w=y.sizeFromShape(b.shape.slice(t));return st({inputs:{x:b},backend:e,attrs:{shape:[-1,w]}})}),m=p.map(b=>({vals:e.readSync(b.dataId),shape:b.shape})),f=v.computeOutShape(p.map(b=>b.shape),1),d=p[0].shape[0]===1,h=dL(m,f,n,d),g=v.computeOutShape(r.map(b=>b.shape),t),x=e.makeTensorInfo(g,n,h);return p.forEach(b=>e.disposeIntermediateTensorInfo(b)),x}let s=z().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER");if(r.length>s){let p=[];for(let f=0;f1){let p=new cC(r.map(m=>m.shape),t);return e.runWebGLProgram(p,r,n)}let{tensors2D:i,outShape:a}=srt(r,t,e),u=new lC(i.map(p=>p.shape)),l=e.runWebGLProgram(u,i,n);i.forEach(p=>e.disposeIntermediateTensorInfo(p));let c=st({inputs:{x:l},attrs:{shape:a},backend:e});return e.disposeIntermediateTensorInfo(l),c}function srt(r,t,e){let n=v.computeOutShape(r.map(s=>s.shape),t);return{tensors2D:r.map(s=>st({inputs:{x:s},attrs:{shape:[-1,y.sizeFromShape(s.shape.slice(t))]},backend:e})),outShape:n}}function yk(r){let{inputs:t,backend:e,attrs:n}=r,{axis:o}=n,s=y.parseAxisParam(o,t[0].shape)[0],i=t.map(l=>l.shape);v.assertParamsConsistent(i,s);let a=v.computeOutShape(t.map(l=>l.shape),s);if(y.sizeFromShape(a)===0)return e.makeTensorInfo(a,t[0].dtype,[]);let u=t.filter(l=>y.sizeFromShape(l.shape)>0);return u.length===1?tr({inputs:{x:u[0]},backend:e}):Nd(u,s,e)}var mz={kernelName:li,backendName:"webgl",kernelFunc:yk};var Td=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=["x","W"],this.outputShape=t.outShape;let i=t.padInfo.top,a=t.padInfo.left,u=t.strideHeight,l=t.strideWidth,c=t.dilationHeight,p=t.dilationWidth,m=t.filterHeight,f=t.filterWidth,d=Math.floor(t.inChannels/4)*4,h=t.inChannels%4,g=t.dataFormat==="channelsLast",x=g?1:2,b=g?2:3,w=g?3:1,C="",N="";n&&(o?C=`float activation(float a) { float b = getPreluActivationWeightsAtOutCoords(); ${n} }`:s?C=`float activation(float a) { @@ -2332,7 +2326,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN ${N} setOutput(result); } - `}},iC=class{constructor(t){this.variableNames=["x","W"],this.outputShape=t.outShape;let e=t.padInfo.front,n=t.padInfo.top,o=t.padInfo.left,s=t.strideDepth,i=t.strideHeight,a=t.strideWidth,u=t.dilationDepth,l=t.dilationHeight,c=t.dilationWidth,p=t.filterDepth,m=t.filterHeight,f=t.filterWidth,d=Math.floor(t.inChannels/4)*4,h=t.inChannels%4;this.userCode=` + `}},pC=class{constructor(t){this.variableNames=["x","W"],this.outputShape=t.outShape;let e=t.padInfo.front,n=t.padInfo.top,o=t.padInfo.left,s=t.strideDepth,i=t.strideHeight,a=t.strideWidth,u=t.dilationDepth,l=t.dilationHeight,c=t.dilationWidth,p=t.filterDepth,m=t.filterHeight,f=t.filterWidth,d=Math.floor(t.inChannels/4)*4,h=t.inChannels%4;this.userCode=` const ivec3 strides = ivec3(${s}, ${i}, ${a}); const ivec3 pads = ivec3(${e}, ${n}, ${o}); @@ -2420,7 +2414,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN } setOutput(dotProd); } - `}};var vd=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=we(this.outputShape.length);let i=t.padInfo.left,a=t.strideWidth,u=t.dilationWidth,l=t.filterHeight,c=t.filterWidth,p=c,m=` + `}};var kd=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=we(this.outputShape.length);let i=t.padInfo.left,a=t.strideWidth,u=t.dilationWidth,l=t.filterHeight,c=t.filterWidth,p=c,m=` int xR; int xC; int xCOffset; vec4 wTexel; vec4 previous; vec4 final;`;for(let g=0;g=3?t?[...r.slice(0,-3),r[e-3]*r[e-2],r[e-1]]:[...r.slice(0,-3),r[e-3],r[e-2]*r[e-1]]:!t&&e===1&&r[0]>1?[r[0],1]:null}function uC({x:r,filter:t,convInfo:e,backend:n,bias:o=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:a=null}){let u=r.shape,l=n.texData.get(r.dataId),c=e.inChannels,p=u[0]*u[1]*u[2],m=e.outChannels,f=e.dataFormat==="channelsLast",d=!1,h=!1,g,x=[];if(s!=null){let C=lC(s.shape,f);C!=null&&(s=st({inputs:{x:s},backend:n,attrs:{shape:C}}),x.push(s))}if(o!=null){let C=lC(o.shape,f);C!=null&&(o=st({inputs:{x:o},backend:n,attrs:{shape:C}}),x.push(o))}if(!((p===1||m===1)&&c>uT)&&l.isPacked&&f&&l.texture!=null&&u[2]%2!==0&&y.arraysEqual(l.shape.slice(-3),u.slice(-3))){let C=u[0]*u[1]*(u[2]+1),N={dataId:r.dataId,shape:[1,C,e.inChannels],dtype:r.dtype},_=l.shape;l.shape=l.shape.slice(),l.shape[l.shape.length-2]++,y.assert(Tu(l.shape,N.shape),()=>`packed reshape ${l.shape} to ${N.shape} isn't free`);let A=st({inputs:{x:t},backend:n,attrs:{shape:[1,e.inChannels,e.outChannels]}});x.push(A);let $=Uc({a:N,b:A,backend:n,transposeA:d,transposeB:h,bias:o,activation:a,preluActivationWeights:s,leakyreluAlpha:i}),F=n.texData.get($.dataId);y.assert(F.isPacked,()=>"batchMatMul result is expected to be packed"),l.shape=_,F.shape=e.outShape,g=tr({inputs:{x:$},backend:n}),g.shape=e.outShape,x.push($)}else{let C=e.outHeight*e.outWidth,N=st({inputs:{x:r},backend:n,attrs:{shape:f?[e.batchSize,C,e.inChannels]:[e.batchSize,e.inChannels,C]}}),_=st({inputs:{x:t},backend:n,attrs:{shape:[1,e.inChannels,e.outChannels]}}),A=Uc({a:f?N:_,b:f?_:N,transposeA:!f,transposeB:h,backend:n,bias:o,activation:a,preluActivationWeights:s,leakyreluAlpha:i});g=st({inputs:{x:A},backend:n,attrs:{shape:e.outShape}}),x.push(N),x.push(_),x.push(A)}for(let C of x)n.disposeIntermediateTensorInfo(C);return g}function cC({x:r,filter:t,convInfo:e,backend:n,bias:o=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:a=null}){let{filterWidth:u,filterHeight:l,inChannels:c,outWidth:p,outHeight:m,dataFormat:f}=e,d=f==="channelsLast",h=u*l*c,g=m*p,x=[e.batchSize,h,g],b=!0,w=!1,C=[];if(s!=null){let Z=lC(s.shape,d);Z!=null&&(s=st({inputs:{x:s},backend:n,attrs:{shape:Z}}),C.push(s))}if(o!=null){let Z=lC(o.shape,d);Z!=null&&(o=st({inputs:{x:o},backend:n,attrs:{shape:Z}}),C.push(o))}let N=st({inputs:{x:t},backend:n,attrs:{shape:[1,h,y.sizeFromShape(t.shape)/h]}});C.push(N);let _=new aC(x,e),A=[r.shape,[e.padInfo.top,e.padInfo.left],[e.strideHeight,e.strideWidth],[e.dilationHeight,e.dilationWidth],[e.inChannels],[e.filterWidth*e.inChannels],[e.outWidth]],$=n.runWebGLProgram(_,[r],"float32",A),F=st({inputs:{x:$},backend:n,attrs:{shape:x}});C.push($),C.push(F);let P=o!=null,V=s!=null,G=a==="leakyrelu",W=a?xl(a,!0):null,q=new wd(d?F.shape:N.shape,d?N.shape:F.shape,d?[e.batchSize,g,e.outChannels]:[e.batchSize,e.outChannels,g],b,w,P,W,V,G),H=d?[F,N]:[N,F];if(o&&H.push(o),V&&H.push(s),G){let Z=n.makeTensorInfo([],"float32",y.createScalarValue(i,"float32"));H.push(Z),C.push(Z)}let j=n.runWebGLProgram(q,H,"float32"),Y=st({inputs:{x:j},backend:n,attrs:{shape:e.outShape}});C.push(j);for(let Z of C)n.disposeIntermediateTensorInfo(Z);return Y}function Wet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dataFormat:u,dilations:l,dimRoundingMode:c}=n,p=S.convertConv2DDataFormat(u),m=S.computeConv2DInfo(o.shape,s.shape,i,l,a,c,!1,p),f;if(m.filterHeight===1&&m.filterWidth===1&&m.dilationHeight===1&&m.dilationWidth===1&&m.strideHeight===1&&m.strideWidth===1&&(m.padInfo.type==="SAME"||m.padInfo.type==="VALID"))f=uC({x:o,filter:s,convInfo:m,backend:e});else if(m.strideWidth<=2&&p==="channelsLast"&&M().getBool("WEBGL_EXP_CONV")){let h=new vd(m),g=[[m.padInfo.top,m.padInfo.left],[m.strideHeight,m.strideWidth],[m.dilationHeight,m.dilationWidth],[m.inHeight,m.inWidth]];f=e.runWebGLProgram(h,[o,s],"float32",g)}else if(M().getBool("WEBGL_CONV_IM2COL"))f=cC({x:o,filter:s,convInfo:m,backend:e});else{let h=new Id(m);f=e.runWebGLProgram(h,[o,s],"float32")}let d=st({inputs:{x:f},backend:e,attrs:{shape:m.outShape}});return e.disposeIntermediateTensorInfo(f),d}var nz={kernelName:qo,backendName:"webgl",kernelFunc:Wet};var pC=class{constructor(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;let e=t.strideHeight,n=t.strideWidth,o=t.padInfo.top,s=t.padInfo.left,i=t.dataFormat==="channelsLast";this.userCode=` + `}};function fC(r,t){let e=r.length;return e>=3?t?[...r.slice(0,-3),r[e-3]*r[e-2],r[e-1]]:[...r.slice(0,-3),r[e-3],r[e-2]*r[e-1]]:!t&&e===1&&r[0]>1?[r[0],1]:null}function dC({x:r,filter:t,convInfo:e,backend:n,bias:o=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:a=null}){let u=r.shape,l=n.texData.get(r.dataId),c=e.inChannels,p=u[0]*u[1]*u[2],m=e.outChannels,f=e.dataFormat==="channelsLast",d=!1,h=!1,g,x=[];if(s!=null){let C=fC(s.shape,f);C!=null&&(s=st({inputs:{x:s},backend:n,attrs:{shape:C}}),x.push(s))}if(o!=null){let C=fC(o.shape,f);C!=null&&(o=st({inputs:{x:o},backend:n,attrs:{shape:C}}),x.push(o))}if(!((p===1||m===1)&&c>dk)&&l.isPacked&&f&&l.texture!=null&&u[2]%2!==0&&y.arraysEqual(l.shape.slice(-3),u.slice(-3))){let C=u[0]*u[1]*(u[2]+1),N={dataId:r.dataId,shape:[1,C,e.inChannels],dtype:r.dtype},_=l.shape;l.shape=l.shape.slice(),l.shape[l.shape.length-2]++,y.assert(Eu(l.shape,N.shape),()=>`packed reshape ${l.shape} to ${N.shape} isn't free`);let A=st({inputs:{x:t},backend:n,attrs:{shape:[1,e.inChannels,e.outChannels]}});x.push(A);let $=Uc({a:N,b:A,backend:n,transposeA:d,transposeB:h,bias:o,activation:a,preluActivationWeights:s,leakyreluAlpha:i}),F=n.texData.get($.dataId);y.assert(F.isPacked,()=>"batchMatMul result is expected to be packed"),l.shape=_,F.shape=e.outShape,g=tr({inputs:{x:$},backend:n}),g.shape=e.outShape,x.push($)}else{let C=e.outHeight*e.outWidth,N=st({inputs:{x:r},backend:n,attrs:{shape:f?[e.batchSize,C,e.inChannels]:[e.batchSize,e.inChannels,C]}}),_=st({inputs:{x:t},backend:n,attrs:{shape:[1,e.inChannels,e.outChannels]}}),A=Uc({a:f?N:_,b:f?_:N,transposeA:!f,transposeB:h,backend:n,bias:o,activation:a,preluActivationWeights:s,leakyreluAlpha:i});g=st({inputs:{x:A},backend:n,attrs:{shape:e.outShape}}),x.push(N),x.push(_),x.push(A)}for(let C of x)n.disposeIntermediateTensorInfo(C);return g}function hC({x:r,filter:t,convInfo:e,backend:n,bias:o=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:a=null}){let{filterWidth:u,filterHeight:l,inChannels:c,outWidth:p,outHeight:m,dataFormat:f}=e,d=f==="channelsLast",h=u*l*c,g=m*p,x=[e.batchSize,h,g],b=!0,w=!1,C=[];if(s!=null){let Z=fC(s.shape,d);Z!=null&&(s=st({inputs:{x:s},backend:n,attrs:{shape:Z}}),C.push(s))}if(o!=null){let Z=fC(o.shape,d);Z!=null&&(o=st({inputs:{x:o},backend:n,attrs:{shape:Z}}),C.push(o))}let N=st({inputs:{x:t},backend:n,attrs:{shape:[1,h,y.sizeFromShape(t.shape)/h]}});C.push(N);let _=new mC(x,e),A=[r.shape,[e.padInfo.top,e.padInfo.left],[e.strideHeight,e.strideWidth],[e.dilationHeight,e.dilationWidth],[e.inChannels],[e.filterWidth*e.inChannels],[e.outWidth]],$=n.runWebGLProgram(_,[r],"float32",A),F=st({inputs:{x:$},backend:n,attrs:{shape:x}});C.push($),C.push(F);let P=o!=null,V=s!=null,G=a==="leakyrelu",W=a?bl(a,!0):null,q=new vd(d?F.shape:N.shape,d?N.shape:F.shape,d?[e.batchSize,g,e.outChannels]:[e.batchSize,e.outChannels,g],b,w,P,W,V,G),H=d?[F,N]:[N,F];if(o&&H.push(o),V&&H.push(s),G){let Z=n.makeTensorInfo([],"float32",y.createScalarValue(i,"float32"));H.push(Z),C.push(Z)}let j=n.runWebGLProgram(q,H,"float32"),Y=st({inputs:{x:j},backend:n,attrs:{shape:e.outShape}});C.push(j);for(let Z of C)n.disposeIntermediateTensorInfo(Z);return Y}function irt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dataFormat:u,dilations:l,dimRoundingMode:c}=n,p=v.convertConv2DDataFormat(u),m=v.computeConv2DInfo(o.shape,s.shape,i,l,a,c,!1,p),f;if(m.filterHeight===1&&m.filterWidth===1&&m.dilationHeight===1&&m.dilationWidth===1&&m.strideHeight===1&&m.strideWidth===1&&(m.padInfo.type==="SAME"||m.padInfo.type==="VALID"))f=dC({x:o,filter:s,convInfo:m,backend:e});else if(m.strideWidth<=2&&p==="channelsLast"&&z().getBool("WEBGL_EXP_CONV")){let h=new kd(m),g=[[m.padInfo.top,m.padInfo.left],[m.strideHeight,m.strideWidth],[m.dilationHeight,m.dilationWidth],[m.inHeight,m.inWidth]];f=e.runWebGLProgram(h,[o,s],"float32",g)}else if(z().getBool("WEBGL_CONV_IM2COL"))f=hC({x:o,filter:s,convInfo:m,backend:e});else{let h=new Td(m);f=e.runWebGLProgram(h,[o,s],"float32")}let d=st({inputs:{x:f},backend:e,attrs:{shape:m.outShape}});return e.disposeIntermediateTensorInfo(f),d}var fz={kernelName:Ko,backendName:"webgl",kernelFunc:irt};var gC=class{constructor(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;let e=t.strideHeight,n=t.strideWidth,o=t.padInfo.top,s=t.padInfo.left,i=t.dataFormat==="channelsLast";this.userCode=` void main() { ivec4 coords = getOutputCoords(); int wR = coords.x; @@ -2705,7 +2699,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN } setOutput(dotProd); } - `}},mC=class{constructor(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;let e=t.filterHeight,n=t.filterWidth,o=t.strideHeight,s=t.strideWidth,i=t.dataFormat==="channelsLast",a=e-1-t.padInfo.top,u=n-1-t.padInfo.left,l=i?1:2,c=i?2:3,p=i?3:1;this.userCode=` + `}},xC=class{constructor(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;let e=t.filterHeight,n=t.filterWidth,o=t.strideHeight,s=t.strideWidth,i=t.dataFormat==="channelsLast",a=e-1-t.padInfo.top,u=n-1-t.padInfo.left,l=i?1:2,c=i?2:3,p=i?3:1;this.userCode=` const ivec2 pads = ivec2(${a}, ${u}); void main() { @@ -2758,7 +2752,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN } setOutput(dotProd); } - `}},fC=class{constructor(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;let e=t.strideDepth,n=t.strideHeight,o=t.strideWidth,s=t.padInfo.front,i=t.padInfo.top,a=t.padInfo.left;this.userCode=` + `}},yC=class{constructor(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;let e=t.strideDepth,n=t.strideHeight,o=t.strideWidth,s=t.padInfo.front,i=t.padInfo.top,a=t.padInfo.left;this.userCode=` void main() { ivec5 coords = getOutputCoords(); int wF = coords.x; @@ -2800,7 +2794,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN } setOutput(dotProd); } - `}},dC=class{constructor(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;let e=t.filterDepth,n=t.filterHeight,o=t.filterWidth,s=t.strideDepth,i=t.strideHeight,a=t.strideWidth,u=e-1-t.padInfo.front,l=n-1-t.padInfo.top,c=o-1-t.padInfo.left;this.userCode=` + `}},bC=class{constructor(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;let e=t.filterDepth,n=t.filterHeight,o=t.filterWidth,s=t.strideDepth,i=t.strideHeight,a=t.strideWidth,u=e-1-t.padInfo.front,l=n-1-t.padInfo.top,c=o-1-t.padInfo.left;this.userCode=` const ivec3 pads = ivec3(${u}, ${l}, ${c}); void main() { @@ -2857,12 +2851,12 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN } setOutput(dotProd); } - `}};function Uet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,dy:s}=t,{strides:i,pad:a,dataFormat:u,dimRoundingMode:l,filterShape:c}=n,p=S.convertConv2DDataFormat(u),m=S.computeConv2DInfo(o.shape,c,i,1,a,l,!1,p),f=new pC(m);return e.runWebGLProgram(f,[o,s],"float32")}var oz={kernelName:mp,backendName:"webgl",kernelFunc:Uet};function Het(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,filter:s}=t,{inputShape:i,strides:a,pad:u,dataFormat:l,dimRoundingMode:c}=n,p=S.convertConv2DDataFormat(l),m=S.computeConv2DInfo(i,s.shape,a,1,u,c,!1,p),f=new mC(m);return e.runWebGLProgram(f,[o,s],"float32")}var sz={kernelName:Ko,backendName:"webgl",kernelFunc:Het};function qet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dilations:u}=n,l=S.computeConv3DInfo(o.shape,s.shape,i,u,a),c=new iC(l);return e.runWebGLProgram(c,[o,s],"float32")}var iz={kernelName:El,backendName:"webgl",kernelFunc:qet};function Ket(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,dy:s}=t,{strides:i,pad:a,filterShape:u}=n,l=S.computeConv3DInfo(o.shape,u,i,1,a),c=new fC(l);return e.runWebGLProgram(c,[o,s],"float32")}var az={kernelName:fp,backendName:"webgl",kernelFunc:Ket};function jet(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,filter:s}=t,{pad:i,strides:a,inputShape:u}=n,l=S.computeConv3DInfo(u,s.shape,a,1,i),c=new dC(l);return e.runWebGLProgram(c,[o,s],"float32")}var lz={kernelName:dp,backendName:"webgl",kernelFunc:jet};var Xet=Oo+` + `}};function art(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,dy:s}=t,{strides:i,pad:a,dataFormat:u,dimRoundingMode:l,filterShape:c}=n,p=v.convertConv2DDataFormat(u),m=v.computeConv2DInfo(o.shape,c,i,1,a,l,!1,p),f=new gC(m);return e.runWebGLProgram(f,[o,s],"float32")}var dz={kernelName:mp,backendName:"webgl",kernelFunc:art};function lrt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,filter:s}=t,{inputShape:i,strides:a,pad:u,dataFormat:l,dimRoundingMode:c}=n,p=v.convertConv2DDataFormat(l),m=v.computeConv2DInfo(i,s.shape,a,1,u,c,!1,p),f=new xC(m);return e.runWebGLProgram(f,[o,s],"float32")}var hz={kernelName:jo,backendName:"webgl",kernelFunc:lrt};function urt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dilations:u}=n,l=v.computeConv3DInfo(o.shape,s.shape,i,u,a),c=new pC(l);return e.runWebGLProgram(c,[o,s],"float32")}var gz={kernelName:Al,backendName:"webgl",kernelFunc:urt};function crt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,dy:s}=t,{strides:i,pad:a,filterShape:u}=n,l=v.computeConv3DInfo(o.shape,u,i,1,a),c=new yC(l);return e.runWebGLProgram(c,[o,s],"float32")}var xz={kernelName:fp,backendName:"webgl",kernelFunc:crt};function prt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,filter:s}=t,{pad:i,strides:a,inputShape:u}=n,l=v.computeConv3DInfo(u,s.shape,a,1,i),c=new bC(l);return e.runWebGLProgram(c,[o,s],"float32")}var yz={kernelName:dp,backendName:"webgl",kernelFunc:prt};var mrt=Po+` return cos(x); -`,Yet=Ct({opSnippet:Xet}),uz={kernelName:jo,backendName:"webgl",kernelFunc:Yet};var Zet=` +`,frt=Ct({opSnippet:mrt}),bz={kernelName:Xo,backendName:"webgl",kernelFunc:frt};var drt=` float e2x = exp(-x); return (e2x + 1.0 / e2x) / 2.0; -`,Jet=Ct({opSnippet:Zet}),cz={kernelName:Xo,backendName:"webgl",kernelFunc:Jet};var hC=class{constructor(t,e,n,o,s){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];let[i,a,u,l]=t,[c]=e,[p,m]=n;this.outputShape=[c,p,m,l];let f=o==="bilinear"?1:0,[d,h]=[`${a-1}.0`,`${u-1}.0`],[g,x,b]=p>1?[`${(a-1)/(p-1)}`,"(y2-y1) * height_ratio",`y1*${d} + float(y)*(height_scale)`]:["0.0","0.0",`0.5 * (y1+y2) * ${d}`],[w,C,N]=m>1?[`${(u-1)/(m-1)}`,"(x2-x1) * width_ratio",`x1*${h} + float(x)*(width_scale)`]:["0.0","0.0",`0.5 * (x1+x2) * ${h}`];this.userCode=` +`,hrt=Ct({opSnippet:drt}),wz={kernelName:Yo,backendName:"webgl",kernelFunc:hrt};var wC=class{constructor(t,e,n,o,s){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];let[i,a,u,l]=t,[c]=e,[p,m]=n;this.outputShape=[c,p,m,l];let f=o==="bilinear"?1:0,[d,h]=[`${a-1}.0`,`${u-1}.0`],[g,x,b]=p>1?[`${(a-1)/(p-1)}`,"(y2-y1) * height_ratio",`y1*${d} + float(y)*(height_scale)`]:["0.0","0.0",`0.5 * (y1+y2) * ${d}`],[w,C,N]=m>1?[`${(u-1)/(m-1)}`,"(x2-x1) * width_ratio",`x1*${h} + float(x)*(width_scale)`]:["0.0","0.0",`0.5 * (x1+x2) * ${h}`];this.userCode=` const float height_ratio = float(${g}); const float width_ratio = float(${w}); void main() { @@ -2923,20 +2917,20 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN setOutput(newValue); } } - `}};var Qet=r=>{let{inputs:t,backend:e,attrs:n}=r,{image:o,boxes:s,boxInd:i}=t,{cropSize:a,method:u,extrapolationValue:l}=n,c=new hC(o.shape,s.shape,a,u,l);return e.runWebGLProgram(c,[o,s,i],"float32")},pz={kernelName:ma,backendName:"webgl",kernelFunc:Qet};var qc;(function(r){r.Prod="*",r.Sum="+"})(qc||(qc={}));var Jh=class{constructor(t,e,n,o){this.op=t,this.outputShape=e,this.variableNames=["x"],this.customUniforms=[{name:"index",type:"float"}];let s=this.outputShape.length,i=this.op===qc.Prod?"1.0":"0.0",a=n?i:`getX(${mz(s,"coords",this.op)})`,u=this.outputShape[this.outputShape.length-1],l="",c="";n?(l=o?`end != ${u-1}`:"end != 0",c=o?"end + 1":"end - 1"):(l=o?`end + pow2 < ${u}`:"end >= pow2",c=o?"end + pow2":"end - pow2"),this.userCode=` + `}};var grt=r=>{let{inputs:t,backend:e,attrs:n}=r,{image:o,boxes:s,boxInd:i}=t,{cropSize:a,method:u,extrapolationValue:l}=n,c=new wC(o.shape,s.shape,a,u,l);return e.runWebGLProgram(c,[o,s,i],"float32")},Cz={kernelName:da,backendName:"webgl",kernelFunc:grt};var qc;(function(r){r.Prod="*",r.Sum="+"})(qc||(qc={}));var ng=class{constructor(t,e,n,o){this.op=t,this.outputShape=e,this.variableNames=["x"],this.customUniforms=[{name:"index",type:"float"}];let s=this.outputShape.length,i=this.op===qc.Prod?"1.0":"0.0",a=n?i:`getX(${Iz(s,"coords",this.op)})`,u=this.outputShape[this.outputShape.length-1],l="",c="";n?(l=o?`end != ${u-1}`:"end != 0",c=o?"end + 1":"end - 1"):(l=o?`end + pow2 < ${u}`:"end >= pow2",c=o?"end + pow2":"end - pow2"),this.userCode=` void main() { ${zt(s)} coords = getOutputCoords(); - int end = ${fz(s,"coords",this.op)}; + int end = ${Sz(s,"coords",this.op)}; float val = ${a}; int pow2 = int(pow(2.0, index)); if (${l}) { int idx = ${c}; - ${fz(s,"coords",this.op)} = idx; - val ${this.op}= getX(${mz(s,"coords",this.op)}); + ${Sz(s,"coords",this.op)} = idx; + val ${this.op}= getX(${Iz(s,"coords",this.op)}); } setOutput(val); } - `}};function mz(r,t,e){if(r===1)return`${t}`;if(r===2)return`${t}.x, ${t}.y`;if(r===3)return`${t}.x, ${t}.y, ${t}.z`;if(r===4)return`${t}.x, ${t}.y, ${t}.z, ${t}.w`;throw new Error(`Cumulative ${e} for rank ${r} is not yet supported`)}function fz(r,t,e){if(r===1)return`${t}`;if(r===2)return`${t}.y`;if(r===3)return`${t}.z`;if(r===4)return`${t}.w`;throw new Error(`Cumulative ${e} for rank ${r} is not yet supported`)}function gC(r,t,e,n,o,s){let i=t.shape.length,a=S.getAxesPermutation([n],i),u=t;a!=null&&(u=Fe({inputs:{x:t},backend:e,attrs:{perm:a}}));let l=S.getInnerMostAxes(1,i)[0];if(l!==i-1)throw new Error(`WebGL cumprod shader expects an inner-most axis=${t.shape.length-1} but got axis=${n}`);let c=u.shape[l],p=tr({inputs:{x:u},backend:e});for(let m=0;m<=Math.ceil(Math.log2(c))-1;m++){let f=new Jh(r,u.shape,!1,s),d=[[m]],h=p;p=e.runWebGLProgram(f,[p],p.dtype,d),e.disposeIntermediateTensorInfo(h)}if(o){let m=new Jh(r,u.shape,o,s),f=p;p=e.runWebGLProgram(m,[p],p.dtype),e.disposeIntermediateTensorInfo(f)}if(a!=null){let m=S.getUndoAxesPermutation(a),f=Fe({inputs:{x:p},backend:e,attrs:{perm:m}});return e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(u),f}return p}function trt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,exclusive:i,reverse:a}=n;return gC(qc.Prod,o,e,s,i,a)}var dz={kernelName:pa,backendName:"webgl",kernelFunc:trt};function ert(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,exclusive:i,reverse:a}=n;return gC(qc.Sum,o,e,s,i,a)}var hz={kernelName:Yo,backendName:"webgl",kernelFunc:ert};function rrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,weights:s}=t,{size:i,binaryOutput:a}=n;if(o.shape.length===1){let u=e.readSync(o.dataId),l=e.readSync(s.dataId),c=Dw(u,l,s.dtype,s.shape,i);return e.makeTensorInfo([i],s.dtype,c)}else if(o.shape.length===2){let u=e.bufferSync(o),l=e.bufferSync(s),c=rL(u,l,i,a);return e.makeTensorInfo(c.shape,s.dtype,c.values)}throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank${o.shape.length}.`)}var gz={kernelName:hp,backendName:"webgl",kernelFunc:rrt};var xC=class{constructor(t,e,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=t,this.blockSize=e,this.dataFormat=n,this.userCode=` + `}};function Iz(r,t,e){if(r===1)return`${t}`;if(r===2)return`${t}.x, ${t}.y`;if(r===3)return`${t}.x, ${t}.y, ${t}.z`;if(r===4)return`${t}.x, ${t}.y, ${t}.z, ${t}.w`;throw new Error(`Cumulative ${e} for rank ${r} is not yet supported`)}function Sz(r,t,e){if(r===1)return`${t}`;if(r===2)return`${t}.y`;if(r===3)return`${t}.z`;if(r===4)return`${t}.w`;throw new Error(`Cumulative ${e} for rank ${r} is not yet supported`)}function CC(r,t,e,n,o,s){let i=t.shape.length,a=v.getAxesPermutation([n],i),u=t;a!=null&&(u=Oe({inputs:{x:t},backend:e,attrs:{perm:a}}));let l=v.getInnerMostAxes(1,i)[0];if(l!==i-1)throw new Error(`WebGL cumprod shader expects an inner-most axis=${t.shape.length-1} but got axis=${n}`);let c=u.shape[l],p=tr({inputs:{x:u},backend:e});for(let m=0;m<=Math.ceil(Math.log2(c))-1;m++){let f=new ng(r,u.shape,!1,s),d=[[m]],h=p;p=e.runWebGLProgram(f,[p],p.dtype,d),e.disposeIntermediateTensorInfo(h)}if(o){let m=new ng(r,u.shape,o,s),f=p;p=e.runWebGLProgram(m,[p],p.dtype),e.disposeIntermediateTensorInfo(f)}if(a!=null){let m=v.getUndoAxesPermutation(a),f=Oe({inputs:{x:p},backend:e,attrs:{perm:m}});return e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(u),f}return p}function xrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,exclusive:i,reverse:a}=n;return CC(qc.Prod,o,e,s,i,a)}var vz={kernelName:fa,backendName:"webgl",kernelFunc:xrt};function yrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,exclusive:i,reverse:a}=n;return CC(qc.Sum,o,e,s,i,a)}var Nz={kernelName:Zo,backendName:"webgl",kernelFunc:yrt};function brt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,weights:s}=t,{size:i,binaryOutput:a}=n;if(o.shape.length===1){let u=e.readSync(o.dataId),l=e.readSync(s.dataId),c=Lw(u,l,s.dtype,s.shape,i);return e.makeTensorInfo([i],s.dtype,c)}else if(o.shape.length===2){let u=e.bufferSync(o),l=e.bufferSync(s),c=pL(u,l,i,a);return e.makeTensorInfo(c.shape,s.dtype,c.values)}throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank${o.shape.length}.`)}var Tz={kernelName:hp,backendName:"webgl",kernelFunc:brt};var IC=class{constructor(t,e,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=t,this.blockSize=e,this.dataFormat=n,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; @@ -2955,7 +2949,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN float result = ${this.getInputSamplingString()}; setOutput(result); } - `}getHeightCoordString(){return this.dataFormat==="NHWC"?"coords[1]":"coords[2]"}getWidthCoordString(){return this.dataFormat==="NHWC"?"coords[2]":"coords[3]"}getDepthCoordString(){return this.dataFormat==="NHWC"?"coords[3]":"coords[1]"}getOutputDepthSize(){return this.dataFormat==="NHWC"?this.outputShape[3]:this.outputShape[1]}getInputSamplingString(){return this.dataFormat==="NHWC"?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}};function nrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockSize:s,dataFormat:i}=n,a=o.shape[0],u=i==="NHWC"?o.shape[1]:o.shape[2],l=i==="NHWC"?o.shape[2]:o.shape[3],c=i==="NHWC"?o.shape[3]:o.shape[1],p=u*s,m=l*s,f=c/(s*s),d=i==="NHWC"?[a,p,m,f]:[a,f,p,m],h=new xC(d,s,i);return e.runWebGLProgram(h,[o],o.dtype)}var xz={kernelName:fa,backendName:"webgl",kernelFunc:nrt};var Sd=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=["x","W"],this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=we(this.outputShape.length);let i=t.filterHeight,a=t.filterWidth,u=t.outChannels/t.inChannels,l="",c="";n&&(o?l=`float activation(float a) { + `}getHeightCoordString(){return this.dataFormat==="NHWC"?"coords[1]":"coords[2]"}getWidthCoordString(){return this.dataFormat==="NHWC"?"coords[2]":"coords[3]"}getDepthCoordString(){return this.dataFormat==="NHWC"?"coords[3]":"coords[1]"}getOutputDepthSize(){return this.dataFormat==="NHWC"?this.outputShape[3]:this.outputShape[1]}getInputSamplingString(){return this.dataFormat==="NHWC"?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}};function wrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockSize:s,dataFormat:i}=n,a=o.shape[0],u=i==="NHWC"?o.shape[1]:o.shape[2],l=i==="NHWC"?o.shape[2]:o.shape[3],c=i==="NHWC"?o.shape[3]:o.shape[1],p=u*s,m=l*s,f=c/(s*s),d=i==="NHWC"?[a,p,m,f]:[a,f,p,m],h=new IC(d,s,i);return e.runWebGLProgram(h,[o],o.dtype)}var kz={kernelName:ha,backendName:"webgl",kernelFunc:wrt};var Ed=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=["x","W"],this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=we(this.outputShape.length);let i=t.filterHeight,a=t.filterWidth,u=t.outChannels/t.inChannels,l="",c="";n&&(o?l=`float activation(float a) { float b = getPreluActivationWeightsAtOutCoords(); ${n} }`:s?l=`float activation(float a) { @@ -3008,7 +3002,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN ${c} setOutput(result); } - `}};var Nd=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=we(this.outputShape.length);let i=t.outChannels/t.inChannels,a=t.padInfo.left,u=t.strideWidth,l=t.dilationWidth,c=t.filterHeight,p=t.filterWidth,m=p,f=` + `}};var _d=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=we(this.outputShape.length);let i=t.outChannels/t.inChannels,a=t.padInfo.left,u=t.strideWidth,l=t.dilationWidth,c=t.filterHeight,p=t.filterWidth,m=p,f=` int xR; int xC; int xCOffset; vec4 wTexel; vec4 previous; vec4 final;`;for(let x=0;x`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${c}'`);let p=S.computeConv2DInfo(o.shape,s.shape,i,c,a,l,!0),m;M().getBool("WEBGL_PACK_DEPTHWISECONV")&&p.strideWidth<=2&&p.outChannels/p.inChannels===1?m=new Nd(p):m=new Sd(p);let f=[[p.padInfo.top,p.padInfo.left],[p.strideHeight,p.strideWidth],[p.dilationHeight,p.dilationWidth],[p.inHeight,p.inWidth]];return e.runWebGLProgram(m,[o,s],"float32",f)}var yz={kernelName:Zo,backendName:"webgl",kernelFunc:ort};var yC=class{constructor(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;let e=t.strideHeight,n=t.strideWidth,o=t.padInfo.top,s=t.padInfo.left,i=t.outChannels/t.inChannels;this.userCode=` + `}};function Crt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dilations:u,dimRoundingMode:l}=n,c=u;c==null&&(c=[1,1]),y.assert(v.eitherStridesOrDilationsAreOne(i,c),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${c}'`);let p=v.computeConv2DInfo(o.shape,s.shape,i,c,a,l,!0),m;z().getBool("WEBGL_PACK_DEPTHWISECONV")&&p.strideWidth<=2&&p.outChannels/p.inChannels===1?m=new _d(p):m=new Ed(p);let f=[[p.padInfo.top,p.padInfo.left],[p.strideHeight,p.strideWidth],[p.dilationHeight,p.dilationWidth],[p.inHeight,p.inWidth]];return e.runWebGLProgram(m,[o,s],"float32",f)}var Ez={kernelName:Jo,backendName:"webgl",kernelFunc:Crt};var SC=class{constructor(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;let e=t.strideHeight,n=t.strideWidth,o=t.padInfo.top,s=t.padInfo.left,i=t.outChannels/t.inChannels;this.userCode=` void main() { ivec4 coords = getOutputCoords(); int wR = coords.x; @@ -3232,7 +3226,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN } setOutput(dotProd); } - `}},bC=class{constructor(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;let e=t.filterHeight,n=t.filterWidth,o=t.strideHeight,s=t.strideWidth,i=e-1-t.padInfo.top,a=n-1-t.padInfo.left,u=t.outChannels/t.inChannels;this.userCode=` + `}},vC=class{constructor(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;let e=t.filterHeight,n=t.filterWidth,o=t.strideHeight,s=t.strideWidth,i=e-1-t.padInfo.top,a=n-1-t.padInfo.left,u=t.outChannels/t.inChannels;this.userCode=` const ivec2 pads = ivec2(${i}, ${a}); void main() { @@ -3277,13 +3271,13 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN } setOutput(dotProd); } - `}};function srt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,dy:s}=t,{strides:i,dilations:a,pad:u,dimRoundingMode:l,filterShape:c}=n,p=S.computeConv2DInfo(o.shape,c,i,a,u,l,!0),m=new yC(p);return e.runWebGLProgram(m,[o,s],"float32")}var bz={kernelName:gp,backendName:"webgl",kernelFunc:srt};function irt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,filter:s}=t,{strides:i,dilations:a,pad:u,dimRoundingMode:l,inputShape:c}=n,p=S.computeConv2DInfo(c,s.shape,i,a,u,l,!0),m=new bC(p);return e.runWebGLProgram(m,[o,s],"float32")}var wz={kernelName:xp,backendName:"webgl",kernelFunc:irt};var wC=class{constructor(t){this.variableNames=["X"],this.outputShape=[t,t],this.userCode=` + `}};function Irt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,dy:s}=t,{strides:i,dilations:a,pad:u,dimRoundingMode:l,filterShape:c}=n,p=v.computeConv2DInfo(o.shape,c,i,a,u,l,!0),m=new SC(p);return e.runWebGLProgram(m,[o,s],"float32")}var _z={kernelName:gp,backendName:"webgl",kernelFunc:Irt};function Srt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,filter:s}=t,{strides:i,dilations:a,pad:u,dimRoundingMode:l,inputShape:c}=n,p=v.computeConv2DInfo(c,s.shape,i,a,u,l,!0),m=new vC(p);return e.runWebGLProgram(m,[o,s],"float32")}var Az={kernelName:xp,backendName:"webgl",kernelFunc:Srt};var NC=class{constructor(t){this.variableNames=["X"],this.outputShape=[t,t],this.userCode=` void main() { ivec2 coords = getOutputCoords(); float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0; setOutput(val); } - `}};function art(r){let{inputs:t,backend:e}=r,{x:n}=t,o=[...n.shape,...n.shape],s=y.sizeFromShape(n.shape),i=st({inputs:{x:n},backend:e,attrs:{shape:[s]}}),a=new wC(s),u=e.runWebGLProgram(a,[i],i.dtype),l=st({inputs:{x:u},backend:e,attrs:{shape:o}});return e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(u),l}var Cz={kernelName:yp,backendName:"webgl",kernelFunc:art};var CC=class{constructor(t){this.variableNames=["x","W"],this.outputShape=t.outShape;let{inHeight:e,inWidth:n,padInfo:o,strideHeight:s,strideWidth:i,filterHeight:a,filterWidth:u,dilationHeight:l,dilationWidth:c}=t,{top:p,left:m}=o;this.userCode=` + `}};function vrt(r){let{inputs:t,backend:e}=r,{x:n}=t,o=[...n.shape,...n.shape],s=y.sizeFromShape(n.shape),i=st({inputs:{x:n},backend:e,attrs:{shape:[s]}}),a=new NC(s),u=e.runWebGLProgram(a,[i],i.dtype),l=st({inputs:{x:u},backend:e,attrs:{shape:o}});return e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(u),l}var $z={kernelName:yp,backendName:"webgl",kernelFunc:vrt};var TC=class{constructor(t){this.variableNames=["x","W"],this.outputShape=t.outShape;let{inHeight:e,inWidth:n,padInfo:o,strideHeight:s,strideWidth:i,filterHeight:a,filterWidth:u,dilationHeight:l,dilationWidth:c}=t,{top:p,left:m}=o;this.userCode=` const ivec2 strides = ivec2(${s}, ${i}); const ivec2 pads = ivec2(${p}, ${m}); const float neg_infinity = -3.4e38; @@ -3321,7 +3315,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN float result = curVal; setOutput(result); } - `}};function lrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dilations:u}=n,l=S.computeDilation2DInfo(o.shape,s.shape,i,a,"NHWC",u),c,p=new CC(l);c=e.runWebGLProgram(p,[o,s],"float32");let m=st({inputs:{x:c},backend:e,attrs:{shape:l.outShape}});return e.disposeIntermediateTensorInfo(c),m}var Iz={kernelName:_l,backendName:"webgl",kernelFunc:lrt};function urt(r){let{inputs:t,backend:e,attrs:n}=r,{equation:o}=n,s=t,{allDims:i,summedDims:a,idDims:u}=S.decodeEinsumEquation(o,s.length);S.checkEinsumDimSizes(i.length,u,s);let{path:l,steps:c}=S.getEinsumComputePath(a,u),p=c.length,m=null,f=i.length,d=[];for(let h=0;h=0&&(m=Wc({inputs:{x:m},backend:e,attrs:{axis:l[h]-(i.length-f),keepDims:!1}}),d.push(m)),f--)}for(let h of d)h!==m&&e.disposeIntermediateTensorInfo(h);return m}var vz={kernelName:bp,backendName:"webgl",kernelFunc:urt};var crt="return (x >= 0.0) ? x : (exp(x) - 1.0);",prt=` + `}};function Nrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dilations:u}=n,l=v.computeDilation2DInfo(o.shape,s.shape,i,a,"NHWC",u),c,p=new TC(l);c=e.runWebGLProgram(p,[o,s],"float32");let m=st({inputs:{x:c},backend:e,attrs:{shape:l.outShape}});return e.disposeIntermediateTensorInfo(c),m}var Dz={kernelName:$l,backendName:"webgl",kernelFunc:Nrt};function Trt(r){let{inputs:t,backend:e,attrs:n}=r,{equation:o}=n,s=t,{allDims:i,summedDims:a,idDims:u}=v.decodeEinsumEquation(o,s.length);v.checkEinsumDimSizes(i.length,u,s);let{path:l,steps:c}=v.getEinsumComputePath(a,u),p=c.length,m=null,f=i.length,d=[];for(let h=0;h=0&&(m=Wc({inputs:{x:m},backend:e,attrs:{axis:l[h]-(i.length-f),keepDims:!1}}),d.push(m)),f--)}for(let h of d)h!==m&&e.disposeIntermediateTensorInfo(h);return m}var Rz={kernelName:bp,backendName:"webgl",kernelFunc:Trt};var krt="return (x >= 0.0) ? x : (exp(x) - 1.0);",Ert=` vec4 result; result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0); @@ -3330,29 +3324,29 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0); return result; -`,mrt=Ct({opSnippet:crt,packedOpSnippet:prt}),Sz={kernelName:Qo,backendName:"webgl",kernelFunc:mrt};var frt="return (b >= 1.0) ? a : a * (b + 1.0);",drt=` +`,_rt=Ct({opSnippet:krt,packedOpSnippet:Ert}),Fz={kernelName:ts,backendName:"webgl",kernelFunc:_rt};var Art="return (b >= 1.0) ? a : a * (b + 1.0);",$rt=` vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.))); return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0)))); -`,hrt=r=>{let{inputs:t,backend:e}=r,{dy:n,y:o}=t,s=M().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Fo(drt,n.shape,o.shape):new oo(frt,n.shape,o.shape);return e.runWebGLProgram(s,[n,o],n.dtype)},Nz={kernelName:wp,backendName:"webgl",kernelFunc:hrt};var grt=` +`,Drt=r=>{let{inputs:t,backend:e}=r,{dy:n,y:o}=t,s=z().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Oo($rt,n.shape,o.shape):new io(Art,n.shape,o.shape);return e.runWebGLProgram(s,[n,o],n.dtype)},Oz={kernelName:wp,backendName:"webgl",kernelFunc:Drt};var Rrt=` return vec4(equal(a, b)); -`,xrt="return float(a == b);",yrt=le({opSnippet:xrt,packedOpSnippet:grt,dtype:"bool",cpuKernelImpl:iL}),kz={kernelName:ha,backendName:"webgl",kernelFunc:yrt};var brt=` +`,Frt="return float(a == b);",Ort=le({opSnippet:Frt,packedOpSnippet:Rrt,dtype:"bool",cpuKernelImpl:hL}),Pz={kernelName:xa,backendName:"webgl",kernelFunc:Ort};var Prt=` // Error function is calculated approximately with elementary function. // See "Handbook of Mathematical Functions with Formulas, // Graphs, and Mathematical Tables", Abramowitz and Stegun. - float p = ${S.ERF_P}; - float a1 = ${S.ERF_A1}; - float a2 = ${S.ERF_A2}; - float a3 = ${S.ERF_A3}; - float a4 = ${S.ERF_A4}; - float a5 = ${S.ERF_A5}; + float p = ${v.ERF_P}; + float a1 = ${v.ERF_A1}; + float a2 = ${v.ERF_A2}; + float a3 = ${v.ERF_A3}; + float a4 = ${v.ERF_A4}; + float a5 = ${v.ERF_A5}; float sign = sign(x); x = abs(x); float t = 1.0 / (1.0 + p * x); return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x)); -`,wrt=Ct({opSnippet:brt}),Tz={kernelName:da,backendName:"webgl",kernelFunc:wrt};var Crt=Oo+` +`,Lrt=Ct({opSnippet:Prt}),Lz={kernelName:ga,backendName:"webgl",kernelFunc:Lrt};var Mrt=Po+` return exp(x); -`,Irt=` +`,zrt=` vec4 result = exp(x); bvec4 isNaN = isnan(x); result.r = isNaN.r ? x.r : result.r; @@ -3361,7 +3355,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN result.a = isNaN.a ? x.a : result.a; return result; -`,dT=Ct({opSnippet:Crt,packedOpSnippet:Irt,cpuKernelImpl:aL,dtype:"float32"}),Ez={kernelName:ts,backendName:"webgl",kernelFunc:dT};function IC(r){let{inputs:t,attrs:e,backend:n}=r,{dim:o}=e,{input:s}=t,i=s.shape.length,a=s.shape.slice(),u=o;return o<0&&(y.assert(-(i+1)<=o,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),u=i+o+1),a.splice(u,0,1),st({inputs:{x:s},backend:n,attrs:{shape:a}})}var _z={kernelName:ai,backendName:"webgl",kernelFunc:IC};var Az="return exp(x) - 1.0;",vrt=Ct({opSnippet:Az,packedOpSnippet:Az,cpuKernelImpl:lL}),$z={kernelName:ga,backendName:"webgl",kernelFunc:vrt};var Qh=class{constructor(t,e,n){this.variableNames=["real","imag"];let o=e[1];this.outputShape=e;let s=n?`2.0 * ${Math.PI}`:`-2.0 * ${Math.PI}`,i=n?`${o}.0`:"1.0",a;if(t==="real")a="return real * expR - imag * expI;";else if(t==="imag")a="return real * expI + imag * expR;";else throw new Error(`FFT component must be either "real" or "imag", got ${t}.`);this.userCode=` +`,bk=Ct({opSnippet:Mrt,packedOpSnippet:zrt,cpuKernelImpl:gL,dtype:"float32"}),Mz={kernelName:es,backendName:"webgl",kernelFunc:bk};function kC(r){let{inputs:t,attrs:e,backend:n}=r,{dim:o}=e,{input:s}=t,i=s.shape.length,a=s.shape.slice(),u=o;return o<0&&(y.assert(-(i+1)<=o,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),u=i+o+1),a.splice(u,0,1),st({inputs:{x:s},backend:n,attrs:{shape:a}})}var zz={kernelName:ui,backendName:"webgl",kernelFunc:kC};var Bz="return exp(x) - 1.0;",Brt=Ct({opSnippet:Bz,packedOpSnippet:Bz,cpuKernelImpl:xL}),Vz={kernelName:ya,backendName:"webgl",kernelFunc:Brt};var og=class{constructor(t,e,n){this.variableNames=["real","imag"];let o=e[1];this.outputShape=e;let s=n?`2.0 * ${Math.PI}`:`-2.0 * ${Math.PI}`,i=n?`${o}.0`:"1.0",a;if(t==="real")a="return real * expR - imag * expI;";else if(t==="imag")a="return real * expI + imag * expR;";else throw new Error(`FFT component must be either "real" or "imag", got ${t}.`);this.userCode=` const float exponentMultiplier = ${s}; float unaryOpComplex(float real, float expR, float imag, float expI) { @@ -3394,12 +3388,12 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN ivec2 coords = getOutputCoords(); setOutput(mulMatDFT(coords[0], coords[1])); } - `}};function vC(r,t,e){let n=e.texData.get(r.dataId),o=y.sizeFromShape(r.shape),s=r.shape[r.shape.length-1],i=o/s,a=st({inputs:{x:r},backend:e,attrs:{shape:[i,s]}}),u=a.shape,l=new Qh("real",u,t),c=new Qh("imag",u,t),p=[{dataId:n.complexTensorInfos.real.dataId,dtype:n.complexTensorInfos.real.dtype,shape:u},{dataId:n.complexTensorInfos.imag.dataId,dtype:n.complexTensorInfos.imag.dtype,shape:u}],m=e.runWebGLProgram(l,p,"float32"),f=e.runWebGLProgram(c,p,"float32"),d=Tn({inputs:{real:m,imag:f},backend:e});e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f);let h=st({inputs:{x:d},backend:e,attrs:{shape:r.shape}});return e.disposeIntermediateTensorInfo(a),e.disposeIntermediateTensorInfo(d),h}function Srt(r){let{inputs:t,backend:e}=r,{input:n}=t;return vC(n,!1,e)}var Dz={kernelName:Cp,backendName:"webgl",kernelFunc:Srt};var SC=class{constructor(t,e){this.outputShape=[],this.customUniforms=[{name:"value",type:"float"}],this.variableNames=["x"],this.outputShape=t,this.userCode=` + `}};function EC(r,t,e){let n=e.texData.get(r.dataId),o=y.sizeFromShape(r.shape),s=r.shape[r.shape.length-1],i=o/s,a=st({inputs:{x:r},backend:e,attrs:{shape:[i,s]}}),u=a.shape,l=new og("real",u,t),c=new og("imag",u,t),p=[{dataId:n.complexTensorInfos.real.dataId,dtype:n.complexTensorInfos.real.dtype,shape:u},{dataId:n.complexTensorInfos.imag.dataId,dtype:n.complexTensorInfos.imag.dtype,shape:u}],m=e.runWebGLProgram(l,p,"float32"),f=e.runWebGLProgram(c,p,"float32"),d=En({inputs:{real:m,imag:f},backend:e});e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f);let h=st({inputs:{x:d},backend:e,attrs:{shape:r.shape}});return e.disposeIntermediateTensorInfo(a),e.disposeIntermediateTensorInfo(d),h}function Vrt(r){let{inputs:t,backend:e}=r,{input:n}=t;return EC(n,!1,e)}var Gz={kernelName:Cp,backendName:"webgl",kernelFunc:Vrt};var _C=class{constructor(t,e){this.outputShape=[],this.customUniforms=[{name:"value",type:"float"}],this.variableNames=["x"],this.outputShape=t,this.userCode=` void main() { // Input can be obtained from uniform value. setOutput(value); } - `}};function bl(r){let{backend:t,attrs:e}=r,{shape:n,value:o}=e,{dtype:s}=e;if(s=s||y.inferDtype(o),s==="string"){let i=y.getArrayFromDType(s,y.sizeFromShape(n));return i.fill(o),t.makeTensorInfo(n,s,i)}else{let i=new SC(n,o),a=[[o]];return t.runWebGLProgram(i,[],s,a)}}var Rz={kernelName:Al,backendName:"webgl",kernelFunc:bl};var NC=class{constructor(t){this.variableNames=["Image"],this.outputShape=[];let e=t[2];this.outputShape=t,this.userCode=` + `}};function Cl(r){let{backend:t,attrs:e}=r,{shape:n,value:o}=e,{dtype:s}=e;if(s=s||y.inferDtype(o),s==="string"){let i=y.getArrayFromDType(s,y.sizeFromShape(n));return i.fill(o),t.makeTensorInfo(n,s,i)}else{let i=new _C(n,o),a=[[o]];return t.runWebGLProgram(i,[],s,a)}}var Wz={kernelName:Dl,backendName:"webgl",kernelFunc:Cl};var AC=class{constructor(t){this.variableNames=["Image"],this.outputShape=[];let e=t[2];this.outputShape=t,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int x = coords[2]; @@ -3413,7 +3407,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN } setOutput(outputValue); } - `}};var Fz={kernelName:xa,backendName:"webgl",kernelFunc:({inputs:r,backend:t})=>{let{image:e}=r,n=t,o=new NC(e.shape);return n.runWebGLProgram(o,[e],e.dtype)}};var Oz="return floor(x);",Nrt=Ct({opSnippet:Oz,packedOpSnippet:Oz,cpuKernelImpl:uL}),Pz={kernelName:es,backendName:"webgl",kernelFunc:Nrt};var krt=` + `}};var Uz={kernelName:ba,backendName:"webgl",kernelFunc:({inputs:r,backend:t})=>{let{image:e}=r,n=t,o=new AC(e.shape);return n.runWebGLProgram(o,[e],e.dtype)}};var Hz="return floor(x);",Grt=Ct({opSnippet:Hz,packedOpSnippet:Hz,cpuKernelImpl:yL}),qz={kernelName:rs,backendName:"webgl",kernelFunc:Grt};var Wrt=` float s = sign(a) * sign(b); int ia = round(a); int ib = round(b); @@ -3423,7 +3417,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN } else { return NAN; } -`,Trt=` +`,Urt=` ivec4 ia = round(a); ivec4 ib = round(b); bvec4 cond = notEqual(ib, ivec4(0)); @@ -3444,7 +3438,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN result[3] = idiv(ia[3], ib[3], s[3]); } return vec4(result); -`,Ert=le({opSnippet:krt,packedOpSnippet:Trt,dtype:"int32"}),Lz={kernelName:rs,backendName:"webgl",kernelFunc:Ert};var kC=class{constructor(t){this.variableNames=["A"];let e=Ve(),[n,o]=t;this.outputShape=t,this.userCode=` +`,Hrt=le({opSnippet:Wrt,packedOpSnippet:Urt,dtype:"int32"}),Kz={kernelName:ns,backendName:"webgl",kernelFunc:Hrt};var $C=class{constructor(t){this.variableNames=["A"];let e=Ge(),[n,o]=t;this.outputShape=t,this.userCode=` void main() { ivec3 coords = getOutputCoords(); int texR = coords[0]; @@ -3466,7 +3460,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN setOutput(floor(value * 255.0 + 0.5)); } - `}};var TC=class{constructor(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let e=Ve(),[n,o]=t;this.outputShape=t,this.userCode=` + `}};var DC=class{constructor(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let e=Ge(),[n,o]=t;this.outputShape=t,this.userCode=` void main() { ivec3 coords = getOutputCoords(); int texR = coords[0]; @@ -3500,7 +3494,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN ${e.output} = result; } - `}};var Mz={kernelName:qd,backendName:"webgl",kernelFunc:_rt},kd,hT=M().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");function _rt(r){let{inputs:t,backend:e,attrs:n}=r,{pixels:o}=t,{numChannels:s}=n,i=typeof HTMLVideoElement!="undefined"&&o instanceof HTMLVideoElement,a=typeof HTMLImageElement!="undefined"&&o instanceof HTMLImageElement,[u,l]=i?[o.videoWidth,o.videoHeight]:[o.width,o.height],c=[l,u],p=[l,u,s];if(a||i){let h=M().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");(kd==null||h!==hT)&&(hT=h,kd=document.createElement("canvas").getContext("2d",{willReadFrequently:hT})),kd.canvas.width=u,kd.canvas.height=l,kd.drawImage(o,0,0,u,l),o=kd.canvas}let m=e.makeTensorInfo(c,"int32");e.texData.get(m.dataId).usage=Kr.PIXELS,e.gpgpu.uploadPixelDataToTexture(e.getTexture(m.dataId),o);let f=M().getBool("WEBGL_PACK")?new TC(p):new kC(p),d=e.runWebGLProgram(f,[m],"int32");return e.disposeData(m.dataId),d}function Art(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=n,h=S.convertConv2DDataFormat(c),g=S.computeConv2DInfo(o.shape,s.shape,u,p,l,m,!1,h),x,b=[],w=i!=null,C=a!=null,N=f==="leakyrelu",_=()=>{let $=[o,s],F=(P,V)=>{if(V==="NCHW"&&P.shape.length===1&&P.shape[0]!==1){let G=st({inputs:{x:P},backend:e,attrs:{shape:[P.shape[0],1,1]}});return b.push(G),G}return P};if(w&&$.push(F(i,c)),C&&$.push(F(a,c)),N){let P=e.makeTensorInfo([],"float32",y.createScalarValue(d,"float32"));$.push(P),b.push(P)}return $};if(g.filterHeight===1&&g.filterWidth===1&&g.dilationHeight===1&&g.dilationWidth===1&&g.strideHeight===1&&g.strideWidth===1&&(g.padInfo.type==="SAME"||g.padInfo.type==="VALID"))x=uC({x:o,filter:s,convInfo:g,backend:e,bias:i,activation:f,preluActivationWeights:a,leakyreluAlpha:d});else if(g.strideWidth<=2&&h==="channelsLast"&&M().getBool("WEBGL_EXP_CONV")){let $=f?xl(f,!0):null,F=new vd(g,w,$,C,N),P=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],V=_();x=e.runWebGLProgram(F,V,"float32",P)}else if(M().getBool("WEBGL_CONV_IM2COL"))x=cC({x:o,filter:s,convInfo:g,backend:e,bias:i,activation:f,preluActivationWeights:a,leakyreluAlpha:d});else{let $=f?xl(f,!1):null,F=new Id(g,w,$,C,N),P=_();x=e.runWebGLProgram(F,P,"float32")}let A=st({inputs:{x},backend:e,attrs:{shape:g.outShape}});return b.push(x),b.forEach($=>e.disposeIntermediateTensorInfo($)),A}var zz={kernelName:wi,backendName:"webgl",kernelFunc:Art};function $rt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dilations:c,dimRoundingMode:p,activation:m,leakyreluAlpha:f}=n,d=[],h=c;h==null&&(h=[1,1]),y.assert(S.eitherStridesOrDilationsAreOne(u,h),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${u} and dilations '${h}'`);let g=S.computeConv2DInfo(o.shape,s.shape,u,h,l,p,!0),x=M().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels===1,b=m?xl(m,x):null,w=[o,s],C=i!=null,N=a!=null,_=m==="leakyrelu";if(C&&w.push(i),N&&w.push(a),_){let P=e.makeTensorInfo([],"float32",y.createScalarValue(f,"float32"));w.push(P),d.push(P)}let A;x?A=new Nd(g,C,b,N,_):A=new Sd(g,C,b,N,_);let $=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],F=e.runWebGLProgram(A,w,"float32",$);return d.forEach(P=>e.disposeIntermediateTensorInfo(P)),F}var Bz={kernelName:Ci,backendName:"webgl",kernelFunc:$rt};var EC=class{constructor(t,e,n,o){this.sliceDim=t,this.strides=e,this.paramsShape=o,this.variableNames=["x","indices"],this.outputShape=n;let s=zt(n.length),i=` + `}};var jz={kernelName:Yd,backendName:"webgl",kernelFunc:qrt},Ad,wk=z().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");function qrt(r){let{inputs:t,backend:e,attrs:n}=r,{pixels:o}=t,{numChannels:s}=n,i=typeof HTMLVideoElement!="undefined"&&o instanceof HTMLVideoElement,a=typeof HTMLImageElement!="undefined"&&o instanceof HTMLImageElement,[u,l]=i?[o.videoWidth,o.videoHeight]:[o.width,o.height],c=[l,u],p=[l,u,s];if(a||i){let h=z().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");(Ad==null||h!==wk)&&(wk=h,Ad=document.createElement("canvas").getContext("2d",{willReadFrequently:wk})),Ad.canvas.width=u,Ad.canvas.height=l,Ad.drawImage(o,0,0,u,l),o=Ad.canvas}let m=e.makeTensorInfo(c,"int32");e.texData.get(m.dataId).usage=jr.PIXELS,e.gpgpu.uploadPixelDataToTexture(e.getTexture(m.dataId),o);let f=z().getBool("WEBGL_PACK")?new DC(p):new $C(p),d=e.runWebGLProgram(f,[m],"int32");return e.disposeData(m.dataId),d}function Krt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=n,h=v.convertConv2DDataFormat(c),g=v.computeConv2DInfo(o.shape,s.shape,u,p,l,m,!1,h),x,b=[],w=i!=null,C=a!=null,N=f==="leakyrelu",_=()=>{let $=[o,s],F=(P,V)=>{if(V==="NCHW"&&P.shape.length===1&&P.shape[0]!==1){let G=st({inputs:{x:P},backend:e,attrs:{shape:[P.shape[0],1,1]}});return b.push(G),G}return P};if(w&&$.push(F(i,c)),C&&$.push(F(a,c)),N){let P=e.makeTensorInfo([],"float32",y.createScalarValue(d,"float32"));$.push(P),b.push(P)}return $};if(g.filterHeight===1&&g.filterWidth===1&&g.dilationHeight===1&&g.dilationWidth===1&&g.strideHeight===1&&g.strideWidth===1&&(g.padInfo.type==="SAME"||g.padInfo.type==="VALID"))x=dC({x:o,filter:s,convInfo:g,backend:e,bias:i,activation:f,preluActivationWeights:a,leakyreluAlpha:d});else if(g.strideWidth<=2&&h==="channelsLast"&&z().getBool("WEBGL_EXP_CONV")){let $=f?bl(f,!0):null,F=new kd(g,w,$,C,N),P=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],V=_();x=e.runWebGLProgram(F,V,"float32",P)}else if(z().getBool("WEBGL_CONV_IM2COL"))x=hC({x:o,filter:s,convInfo:g,backend:e,bias:i,activation:f,preluActivationWeights:a,leakyreluAlpha:d});else{let $=f?bl(f,!1):null,F=new Td(g,w,$,C,N),P=_();x=e.runWebGLProgram(F,P,"float32")}let A=st({inputs:{x},backend:e,attrs:{shape:g.outShape}});return b.push(x),b.forEach($=>e.disposeIntermediateTensorInfo($)),A}var Xz={kernelName:Ii,backendName:"webgl",kernelFunc:Krt};function jrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dilations:c,dimRoundingMode:p,activation:m,leakyreluAlpha:f}=n,d=[],h=c;h==null&&(h=[1,1]),y.assert(v.eitherStridesOrDilationsAreOne(u,h),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${u} and dilations '${h}'`);let g=v.computeConv2DInfo(o.shape,s.shape,u,h,l,p,!0),x=z().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels===1,b=m?bl(m,x):null,w=[o,s],C=i!=null,N=a!=null,_=m==="leakyrelu";if(C&&w.push(i),N&&w.push(a),_){let P=e.makeTensorInfo([],"float32",y.createScalarValue(f,"float32"));w.push(P),d.push(P)}let A;x?A=new _d(g,C,b,N,_):A=new Ed(g,C,b,N,_);let $=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],F=e.runWebGLProgram(A,w,"float32",$);return d.forEach(P=>e.disposeIntermediateTensorInfo(P)),F}var Yz={kernelName:Si,backendName:"webgl",kernelFunc:jrt};var RC=class{constructor(t,e,n,o){this.sliceDim=t,this.strides=e,this.paramsShape=o,this.variableNames=["x","indices"],this.outputShape=n;let s=zt(n.length),i=` int index;`;for(let a=0;a= 0) && (index < ${t[2]}) ? 1.0 : 0.0; setOutput(inBounds * getA(${o})); } - `}};function Rrt(r,t){let e=["resRC.x","resRC.y","resRC.z","resRC.w"],n=[];for(let o=0;o=0,()=>`GatherV2: the index value ${N} is not in [0, ${w-1}]`)}}let l=S.segment_util.collectGatherOpShapeInfo(o,s,u,a),c=y.sizeFromShape(s.shape),p=[],m=st({inputs:{x:o},backend:e,attrs:{shape:[l.batchSize,l.outerSize,l.dimSize,l.sliceSize]}}),f=st({inputs:{x:s},backend:e,attrs:{shape:[l.batchSize,c/l.batchSize]}});p.push(m),p.push(f);let d=[l.batchSize,l.outerSize,c/l.batchSize,l.sliceSize];if(e.shouldExecuteOnCPU([o,s])||o.dtype==="string"){let b=e.bufferSync(f),w=e.bufferSync(m),C=pL(w,b,d);return p.forEach(N=>e.disposeIntermediateTensorInfo(N)),e.makeTensorInfo(l.outputShape,C.dtype,C.values)}let h=new _C(m.shape,d),g=e.runWebGLProgram(h,[m,f],m.dtype);p.push(g);let x=st({inputs:{x:g},backend:e,attrs:{shape:l.outputShape}});return p.forEach(b=>e.disposeIntermediateTensorInfo(b)),x}var Gz={kernelName:li,backendName:"webgl",kernelFunc:gT};var Frt="return float(a > b);",Ort=` + `}};function Yrt(r,t){let e=["resRC.x","resRC.y","resRC.z","resRC.w"],n=[];for(let o=0;o=0,()=>`GatherV2: the index value ${N} is not in [0, ${w-1}]`)}}let l=v.segment_util.collectGatherOpShapeInfo(o,s,u,a),c=y.sizeFromShape(s.shape),p=[],m=st({inputs:{x:o},backend:e,attrs:{shape:[l.batchSize,l.outerSize,l.dimSize,l.sliceSize]}}),f=st({inputs:{x:s},backend:e,attrs:{shape:[l.batchSize,c/l.batchSize]}});p.push(m),p.push(f);let d=[l.batchSize,l.outerSize,c/l.batchSize,l.sliceSize];if(e.shouldExecuteOnCPU([o,s])||o.dtype==="string"){let b=e.bufferSync(f),w=e.bufferSync(m),C=wL(w,b,d);return p.forEach(N=>e.disposeIntermediateTensorInfo(N)),e.makeTensorInfo(l.outputShape,C.dtype,C.values)}let h=new FC(m.shape,d),g=e.runWebGLProgram(h,[m,f],m.dtype);p.push(g);let x=st({inputs:{x:g},backend:e,attrs:{shape:l.outputShape}});return p.forEach(b=>e.disposeIntermediateTensorInfo(b)),x}var Jz={kernelName:ci,backendName:"webgl",kernelFunc:Ck};var Zrt="return float(a > b);",Jrt=` return vec4(greaterThan(a, b)); -`,Prt=le({opSnippet:Frt,packedOpSnippet:Ort,cpuKernelImpl:mL,dtype:"bool"}),Wz={kernelName:ba,backendName:"webgl",kernelFunc:Prt};var Lrt="return float(a >= b);",Mrt=` +`,Qrt=le({opSnippet:Zrt,packedOpSnippet:Jrt,cpuKernelImpl:CL,dtype:"bool"}),Qz={kernelName:Ca,backendName:"webgl",kernelFunc:Qrt};var tnt="return float(a >= b);",ent=` return vec4(greaterThanEqual(a, b)); -`,zrt=le({opSnippet:Lrt,packedOpSnippet:Mrt,dtype:"bool",cpuKernelImpl:fL}),Uz={kernelName:os,backendName:"webgl",kernelFunc:zrt};function Brt(r){let{inputs:t,backend:e}=r,{input:n}=t;return vC(n,!0,e)}var Hz={kernelName:Ip,backendName:"webgl",kernelFunc:Brt};var Vrt="return float(!isnan(x) && !isinf(x));",Grt=Ct({opSnippet:Vrt,dtype:"bool"}),qz={kernelName:wa,backendName:"webgl",kernelFunc:Grt};var Wrt="return float(isinf(x));",Urt=Ct({opSnippet:Wrt,dtype:"bool"}),Kz={kernelName:Ca,backendName:"webgl",kernelFunc:Urt};var Hrt="return float(isnan(x));",qrt=Ct({opSnippet:Hrt,dtype:"bool"}),jz={kernelName:Ia,backendName:"webgl",kernelFunc:qrt};var Krt="return float(a < b);",jrt=` +`,rnt=le({opSnippet:tnt,packedOpSnippet:ent,dtype:"bool",cpuKernelImpl:IL}),t3={kernelName:ss,backendName:"webgl",kernelFunc:rnt};function nnt(r){let{inputs:t,backend:e}=r,{input:n}=t;return EC(n,!0,e)}var e3={kernelName:Ip,backendName:"webgl",kernelFunc:nnt};var ont="return float(!isnan(x) && !isinf(x));",snt=Ct({opSnippet:ont,dtype:"bool"}),r3={kernelName:Ia,backendName:"webgl",kernelFunc:snt};var int="return float(isinf(x));",ant=Ct({opSnippet:int,dtype:"bool"}),n3={kernelName:Sa,backendName:"webgl",kernelFunc:ant};var lnt="return float(isnan(x));",unt=Ct({opSnippet:lnt,dtype:"bool"}),o3={kernelName:va,backendName:"webgl",kernelFunc:unt};var cnt="return float(a < b);",pnt=` return vec4(lessThan(a, b)); -`,Xrt=le({opSnippet:Krt,packedOpSnippet:jrt,cpuKernelImpl:dL,dtype:"bool"}),Xz={kernelName:va,backendName:"webgl",kernelFunc:Xrt};var Yrt="return float(a <= b);",Zrt=` +`,mnt=le({opSnippet:cnt,packedOpSnippet:pnt,cpuKernelImpl:SL,dtype:"bool"}),s3={kernelName:Na,backendName:"webgl",kernelFunc:mnt};var fnt="return float(a <= b);",dnt=` return vec4(lessThanEqual(a, b)); -`,Jrt=le({opSnippet:Yrt,packedOpSnippet:Zrt,cpuKernelImpl:hL,dtype:"bool"}),Yz={kernelName:Sa,backendName:"webgl",kernelFunc:Jrt};function Qrt(r){let{backend:t,attrs:e}=r,{start:n,stop:o,num:s}=e,i=gL(n,o,s);return t.makeTensorInfo([i.length],"float32",i)}var Zz={kernelName:Sp,backendName:"webgl",kernelFunc:Qrt};var tnt=Oo+` +`,hnt=le({opSnippet:fnt,packedOpSnippet:dnt,cpuKernelImpl:vL,dtype:"bool"}),i3={kernelName:Ta,backendName:"webgl",kernelFunc:hnt};function gnt(r){let{backend:t,attrs:e}=r,{start:n,stop:o,num:s}=e,i=NL(n,o,s);return t.makeTensorInfo([i.length],"float32",i)}var a3={kernelName:vp,backendName:"webgl",kernelFunc:gnt};var xnt=Po+` return x < 0.0 ? 0./0. : log(x); -`,ent=` +`,ynt=` vec4 result = log(x); bvec4 isNaN = isnan(x); result.r = isNaN.r ? x.r : (x.r < 0.0 ? 0./0. : result.r); @@ -3540,18 +3534,18 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN result.b = isNaN.b ? x.b : (x.b < 0.0 ? 0./0. : result.b); result.a = isNaN.a ? x.a : (x.a < 0.0 ? 0./0. : result.a); return result; -`,rnt=Ct({opSnippet:tnt,packedOpSnippet:ent,cpuKernelImpl:xL}),Jz={kernelName:is,backendName:"webgl",kernelFunc:rnt};var nnt=Oo+` +`,bnt=Ct({opSnippet:xnt,packedOpSnippet:ynt,cpuKernelImpl:TL}),l3={kernelName:as,backendName:"webgl",kernelFunc:bnt};var wnt=Po+` return log(1.0 + x); -`,ont=Ct({opSnippet:nnt}),Qz={kernelName:Na,backendName:"webgl",kernelFunc:ont};var snt="return float(a >= 1.0 && b >= 1.0);",int=` +`,Cnt=Ct({opSnippet:wnt}),u3={kernelName:ka,backendName:"webgl",kernelFunc:Cnt};var Int="return float(a >= 1.0 && b >= 1.0);",Snt=` return vec4( vec4(greaterThanEqual(a, vec4(1.0))) * vec4(greaterThanEqual(b, vec4(1.0)))); -`,ant=le({opSnippet:snt,packedOpSnippet:int,dtype:"bool"}),t3={kernelName:ka,backendName:"webgl",kernelFunc:ant};var lnt="return float(!(x >= 1.0));",unt=Ct({opSnippet:lnt}),e3={kernelName:Ta,backendName:"webgl",kernelFunc:unt};var cnt="return float(a >= 1.0 || b >= 1.0);",pnt=` +`,vnt=le({opSnippet:Int,packedOpSnippet:Snt,dtype:"bool"}),c3={kernelName:Ea,backendName:"webgl",kernelFunc:vnt};var Nnt="return float(!(x >= 1.0));",Tnt=Ct({opSnippet:Nnt}),p3={kernelName:_a,backendName:"webgl",kernelFunc:Tnt};var knt="return float(a >= 1.0 || b >= 1.0);",Ent=` return min( vec4(greaterThanEqual(a, vec4(1.0))) + vec4(greaterThanEqual(b, vec4(1.0))), vec4(1.0)); -`,mnt=le({opSnippet:cnt,packedOpSnippet:pnt,dtype:"bool"}),r3={kernelName:Ea,backendName:"webgl",kernelFunc:mnt};var AC=class{constructor(t,e,n,o,s){this.variableNames=["x"],this.outputShape=[];let i=e,a=t[3]-1;this.outputShape=t;let u,l=`float(${n}) + float(${o}) * sum`;s===.5?u=`inversesqrt(${l})`:s===1?u=`1.0/(${l})`:u=`exp(log(${l}) * float(-${s}));`,this.userCode=` +`,_nt=le({opSnippet:knt,packedOpSnippet:Ent,dtype:"bool"}),m3={kernelName:Aa,backendName:"webgl",kernelFunc:_nt};var OC=class{constructor(t,e,n,o,s){this.variableNames=["x"],this.outputShape=[];let i=e,a=t[3]-1;this.outputShape=t;let u,l=`float(${n}) + float(${o}) * sum`;s===.5?u=`inversesqrt(${l})`:s===1?u=`1.0/(${l})`:u=`exp(log(${l}) * float(-${s}));`,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; @@ -3570,7 +3564,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN float val = x * ${u}; setOutput(val); } - `}};var $C=class{constructor(t,e,n,o,s){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let i=e,a=t[3]-1;this.outputShape=t;let u,l=`float(${n}) + float(${o}) * sum`;s===.5?u=`inversesqrt(${l})`:s===1?u=`1.0/(${l})`:u=`exp(log(${l}) * float(-${s}));`,this.userCode=` + `}};var PC=class{constructor(t,e,n,o,s){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let i=e,a=t[3]-1;this.outputShape=t;let u,l=`float(${n}) + float(${o}) * sum`;s===.5?u=`inversesqrt(${l})`:s===1?u=`1.0/(${l})`:u=`exp(log(${l}) * float(-${s}));`,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords.x; @@ -3632,7 +3626,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN vec4 result = xAtOutputCoords * ${u}; setOutput(result); } - `}};var fnt=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{depthRadius:s,bias:i,alpha:a,beta:u}=n,l=M().getBool("WEBGL_PACK_NORMALIZATION")?new $C(o.shape,s,i,a,u):new AC(o.shape,s,i,a,u);return e.runWebGLProgram(l,[o],o.dtype)},n3={kernelName:$l,backendName:"webgl",kernelFunc:fnt};var DC=class{constructor(t,e,n,o,s){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=t,this.depth=t[3],this.depthRadius=e,this.bias=n,this.alpha=o,this.beta=s,this.userCode=` + `}};var Ant=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{depthRadius:s,bias:i,alpha:a,beta:u}=n,l=z().getBool("WEBGL_PACK_NORMALIZATION")?new PC(o.shape,s,i,a,u):new OC(o.shape,s,i,a,u);return e.runWebGLProgram(l,[o],o.dtype)},f3={kernelName:Rl,backendName:"webgl",kernelFunc:Ant};var LC=class{constructor(t,e,n,o,s){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=t,this.depth=t[3],this.depthRadius=e,this.bias=n,this.alpha=o,this.beta=s,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; @@ -3687,16 +3681,16 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN } setOutput(result); } - `}};var dnt=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o,y:s,dy:i}=t,{depthRadius:a,bias:u,alpha:l,beta:c}=n,p=new DC(o.shape,a,u,l,c);return e.runWebGLProgram(p,[o,s,i],o.dtype)},o3={kernelName:Np,backendName:"webgl",kernelFunc:dnt};function s3(r,t,e,n){let o=y.sizeFromShape(t),i=y.sizeFromShape(r.shape)/o,a=st({inputs:{x:r},attrs:{shape:[i,o]},backend:n}),u=Gn(a,r.dtype,"max",n),l=st({inputs:{x:u},attrs:{shape:e},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(u),l}function xT(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{reductionIndices:s,keepDims:i}=n,a=o.shape.length,u=y.parseAxisParam(s,o.shape),l=u,c=S.getAxesPermutation(l,a),p=c!=null,m=e.shouldExecuteOnCPU([o]),f=o;if(p){if(m){let w=e.texData.get(f.dataId).values,C=new Array(a);for(let A=0;A{let{inputs:t,backend:e,attrs:n}=r,{x:o,y:s,dy:i}=t,{depthRadius:a,bias:u,alpha:l,beta:c}=n,p=new LC(o.shape,a,u,l,c);return e.runWebGLProgram(p,[o,s,i],o.dtype)},d3={kernelName:Np,backendName:"webgl",kernelFunc:$nt};function h3(r,t,e,n){let o=y.sizeFromShape(t),i=y.sizeFromShape(r.shape)/o,a=st({inputs:{x:r},attrs:{shape:[i,o]},backend:n}),u=Un(a,r.dtype,"max",n),l=st({inputs:{x:u},attrs:{shape:e},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(u),l}function Ik(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{reductionIndices:s,keepDims:i}=n,a=o.shape.length,u=y.parseAxisParam(s,o.shape),l=u,c=v.getAxesPermutation(l,a),p=c!=null,m=e.shouldExecuteOnCPU([o]),f=o;if(p){if(m){let w=e.texData.get(f.dataId).values,C=new Array(a);for(let A=0;A`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);let c=S.computePool2DInfo(o.shape,s,i,l,a,u);if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))return tr({inputs:{x:o},backend:e});let p=new Qs(c,"max",!1);return e.runWebGLProgram(p,[o],o.dtype)}var l3={kernelName:us,backendName:"webgl",kernelFunc:ynt};function bnt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{filterSize:s,strides:i,pad:a,dataFormat:u,dimRoundingMode:l}=n,c=[1,1,1],p=S.computePool3DInfo(o.shape,s,i,c,a,l,u),m=new Au(p,"max",!1);return e.runWebGLProgram(m,[o],o.dtype)}var u3={kernelName:Dl,backendName:"webgl",kernelFunc:bnt};var RC=class{constructor(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;let e=t.strideHeight,n=t.strideWidth,o=t.dilationHeight,s=t.effectiveFilterHeight,i=t.effectiveFilterWidth,a=s-1-t.padInfo.top,u=i-1-t.padInfo.left,l=s*i-1;this.userCode=` +`,Fnt=le({opSnippet:Dnt,packedOpSnippet:Rnt,cpuKernelImpl:EL}),x3={kernelName:us,backendName:"webgl",kernelFunc:Fnt};function Ont(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t;Qs(o,"maxPool");let{filterSize:s,strides:i,pad:a,dimRoundingMode:u}=n,l=1;y.assert(v.eitherStridesOrDilationsAreOne(i,l),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);let c=v.computePool2DInfo(o.shape,s,i,l,a,u);if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))return tr({inputs:{x:o},backend:e});let p=new ei(c,"max",!1);return e.runWebGLProgram(p,[o],o.dtype)}var y3={kernelName:cs,backendName:"webgl",kernelFunc:Ont};function Pnt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{filterSize:s,strides:i,pad:a,dataFormat:u,dimRoundingMode:l}=n,c=[1,1,1],p=v.computePool3DInfo(o.shape,s,i,c,a,l,u),m=new $u(p,"max",!1);return e.runWebGLProgram(m,[o],o.dtype)}var b3={kernelName:Fl,backendName:"webgl",kernelFunc:Pnt};var MC=class{constructor(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;let e=t.strideHeight,n=t.strideWidth,o=t.dilationHeight,s=t.effectiveFilterHeight,i=t.effectiveFilterWidth,a=s-1-t.padInfo.top,u=i-1-t.padInfo.left,l=s*i-1;this.userCode=` const ivec2 pads = ivec2(${a}, ${u}); void main() { @@ -3742,7 +3736,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN } setOutput(dotProd); } - `}},FC=class{constructor(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;let e=t.strideDepth,n=t.strideHeight,o=t.strideWidth,s=t.dilationDepth,i=t.dilationHeight,a=t.dilationWidth,u=t.effectiveFilterDepth,l=t.effectiveFilterHeight,c=t.effectiveFilterWidth,p=u-1-t.padInfo.front,m=l-1-t.padInfo.top,f=c-1-t.padInfo.left,d=u*l*c-1;this.userCode=` + `}},zC=class{constructor(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;let e=t.strideDepth,n=t.strideHeight,o=t.strideWidth,s=t.dilationDepth,i=t.dilationHeight,a=t.dilationWidth,u=t.effectiveFilterDepth,l=t.effectiveFilterHeight,c=t.effectiveFilterWidth,p=u-1-t.padInfo.front,m=l-1-t.padInfo.top,f=c-1-t.padInfo.left,d=u*l*c-1;this.userCode=` const ivec3 pads = ivec3(${p}, ${m}, ${f}); void main() { @@ -3806,16 +3800,16 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN } setOutput(dotProd); } - `}};function wnt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s,{filterSize:a,strides:u,pad:l,dimRoundingMode:c}=n,p=[1,1,1],m=S.computePool3DInfo(i.shape,a,u,p,l,c),f=new Au(m,"max",!0),d=e.runWebGLProgram(f,[i],i.dtype),h=new FC(m),g=e.runWebGLProgram(h,[o,d],i.dtype);return e.disposeIntermediateTensorInfo(d),g}var c3={kernelName:Tp,backendName:"webgl",kernelFunc:wnt};function Cnt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s,output:i}=t,a=s;Zs([s,i],"maxPoolGrad");let{filterSize:u,strides:l,pad:c,dimRoundingMode:p}=n,m=S.computePool2DInfo(a.shape,u,l,1,c,p),f=!0,d=new Qs(m,"max",f),h=e.runWebGLProgram(d,[a],a.dtype),g=new RC(m),x=e.runWebGLProgram(g,[o,h],a.dtype);return e.disposeIntermediateTensorInfo(h),x}var p3={kernelName:kp,backendName:"webgl",kernelFunc:Cnt};function m3(r,t,e,n){let o=new Qs(e,"max",!1),s=n.runWebGLProgram(o,[r],"float32");o=new Qs(e,"max",!0,!0,t);let i=n.runWebGLProgram(o,[r],"float32");return[s,i]}var f3={kernelName:Ep,backendName:"webgl",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{x:n}=r,{filterSize:o,strides:s,pad:i,includeBatchInIndex:a}=t,u=e;y.assert(n.shape.length===4,()=>`Error in maxPool: input must be rank 4 but got rank ${n.shape.length}.`);let l=[1,1];y.assert(S.eitherStridesOrDilationsAreOne(s,l),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${l}'`);let c=S.computePool2DInfo(n.shape,o,s,l,i),[p,m]=m3(n,a,c,u);return[p,m]}};function d3(r,t,e,n){let o=y.sizeFromShape(t),i=y.sizeFromShape(r.shape)/o,a=st({inputs:{x:r},attrs:{shape:[i,o]},backend:n}),u=Gn(a,"float32","mean",n),l=st({inputs:{x:u},attrs:{shape:e},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(u),l}var h3={kernelName:cs,backendName:"webgl",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{x:n}=r,{keepDims:o,axis:s}=t,i=e,a=n.shape.length,u=y.parseAxisParam(s,n.shape),l=u,c=S.getAxesPermutation(l,a),p=c!=null,m=i.shouldExecuteOnCPU([n]),f=[],d=n;if(p){if(m){let C=i.texData.get(d.dataId).values,N=new Array(a);for(let $=0;${let{x:n}=r,{filterSize:o,strides:s,pad:i,includeBatchInIndex:a}=t,u=e;y.assert(n.shape.length===4,()=>`Error in maxPool: input must be rank 4 but got rank ${n.shape.length}.`);let l=[1,1];y.assert(v.eitherStridesOrDilationsAreOne(s,l),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${l}'`);let c=v.computePool2DInfo(n.shape,o,s,l,i),[p,m]=I3(n,a,c,u);return[p,m]}};function v3(r,t,e,n){let o=y.sizeFromShape(t),i=y.sizeFromShape(r.shape)/o,a=st({inputs:{x:r},attrs:{shape:[i,o]},backend:n}),u=Un(a,"float32","mean",n),l=st({inputs:{x:u},attrs:{shape:e},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(u),l}var N3={kernelName:ps,backendName:"webgl",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{x:n}=r,{keepDims:o,axis:s}=t,i=e,a=n.shape.length,u=y.parseAxisParam(s,n.shape),l=u,c=v.getAxesPermutation(l,a),p=c!=null,m=i.shouldExecuteOnCPU([n]),f=[],d=n;if(p){if(m){let C=i.texData.get(d.dataId).values,N=new Array(a);for(let $=0;$c[0]+t[p]+c[1]);let o=t.length,s=zt(o),i=e.map(c=>c[0]).join(","),a=e.map((c,p)=>c[0]+t[p]).join(","),u=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,o),l=n==="reflect"?0:1;if(o===1){this.userCode=` +`,Gnt=le({opSnippet:Bnt,packedOpSnippet:Vnt,cpuKernelImpl:_L}),k3={kernelName:fs,backendName:"webgl",kernelFunc:Gnt};var BC=class{constructor(t,e,n){this.variableNames=["x"],this.outputShape=e.map((c,p)=>c[0]+t[p]+c[1]);let o=t.length,s=zt(o),i=e.map(c=>c[0]).join(","),a=e.map((c,p)=>c[0]+t[p]).join(","),u=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,o),l=n==="reflect"?0:1;if(o===1){this.userCode=` int start = ${i}; int end = ${a}; @@ -3844,7 +3838,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN ${s} coords = outC - start; setOutput(getX(${u})); } - `}};var PC=class{constructor(t,e,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.map((d,h)=>d[0]+t[h]+d[1]);let o=t.length,s=zt(o),i=e.map(d=>d[0]).join(","),a=e.map((d,h)=>d[0]+t[h]).join(","),u=Qe("rc",o),l=Qe("source",o),c=`${u[o-1]} < ${this.outputShape[o-1]}`,p=o===1?"source":`vec2(${l.slice(-2).join()})`,m=n==="reflect"?0:1,f="";if(o===1){let d=` + `}};var VC=class{constructor(t,e,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.map((d,h)=>d[0]+t[h]+d[1]);let o=t.length,s=zt(o),i=e.map(d=>d[0]).join(","),a=e.map((d,h)=>d[0]+t[h]).join(","),u=Qe("rc",o),l=Qe("source",o),c=`${u[o-1]} < ${this.outputShape[o-1]}`,p=o===1?"source":`vec2(${l.slice(-2).join()})`,m=n==="reflect"?0:1,f="";if(o===1){let d=` ${s} source = rc; if (source < start) { source = start * 2 - source - ${m}; @@ -3900,13 +3894,13 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN ${f} setOutput(result); } - `}};var knt=({inputs:r,backend:t,attrs:e})=>{let{x:n}=r,{paddings:o,mode:s}=e,i=M().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new PC(n.shape,o,s):new OC(n.shape,o,s);return t.runWebGLProgram(i,[n],n.dtype)},y3={kernelName:fs,backendName:"webgl",kernelFunc:knt};var Tnt=`if (b == 0.0) return NAN; - return mod(a, b);`,Ent=` + `}};var Wnt=({inputs:r,backend:t,attrs:e})=>{let{x:n}=r,{paddings:o,mode:s}=e,i=z().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new VC(n.shape,o,s):new BC(n.shape,o,s);return t.runWebGLProgram(i,[n],n.dtype)},E3={kernelName:ds,backendName:"webgl",kernelFunc:Wnt};var Unt=`if (b == 0.0) return NAN; + return mod(a, b);`,Hnt=` vec4 result = mod(a, b); bvec4 isNaN = equal(b, vec4(0.0)); - `+ji+` + `+Yi+` return result; -`,_nt=le({opSnippet:Tnt,packedOpSnippet:Ent}),b3={kernelName:_a,backendName:"webgl",kernelFunc:_nt};var LC=class{constructor(t,e,n){this.variableNames=["probs"],this.customUniforms=[{name:"seed",type:"float"}],this.outputShape=[t,n],this.userCode=` +`,qnt=le({opSnippet:Unt,packedOpSnippet:Hnt}),_3={kernelName:$a,backendName:"webgl",kernelFunc:qnt};var GC=class{constructor(t,e,n){this.variableNames=["probs"],this.customUniforms=[{name:"seed",type:"float"}],this.outputShape=[t,n],this.userCode=` void main() { ivec2 coords = getOutputCoords(); int batch = coords[0]; @@ -3926,11 +3920,11 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Net=Ct({opSnippet:vet}),OM={kernelN // If no other event happened, last event happened. setOutput(float(${e-1})); } - `}};var Ant=` + `}};var Knt=` if (a == b) { return 1.0; }; -return a / b;`,$nt=` +return a / b;`,jnt=` // vec4 one = vec4(equal(a, b)); // return one + (vec4(1.0) - one) * a / b; vec4 result = a / b; @@ -3948,9 +3942,9 @@ return a / b;`,$nt=` } return result; -`,yT=le({opSnippet:Ant,packedOpSnippet:$nt,checkOutOfBounds:!0}),w3={kernelName:Jo,backendName:"webgl",kernelFunc:yT};var C3="return a - b;",bT=le({opSnippet:C3,packedOpSnippet:C3,supportsComplex:!0,cpuKernelImpl:zL}),I3={kernelName:Rs,backendName:"webgl",kernelFunc:bT};function wT(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{dim:s}=n,i=y.parseAxisParam([s],o.shape),a=xT({inputs:{x:o},backend:e,attrs:{reductionIndices:i,keepDims:!1}}),u=S.expandShapeToKeepDim(a.shape,i),l=st({inputs:{x:a},backend:e,attrs:{shape:u}}),c=bT({inputs:{a:o,b:l},backend:e}),p=dT({inputs:{x:c},backend:e}),m=Wc({inputs:{x:p},backend:e,attrs:{axis:i,keepDims:!1}}),f=st({inputs:{x:m},backend:e,attrs:{shape:u}}),d=yT({inputs:{a:p,b:f},backend:e});return e.disposeIntermediateTensorInfo(a),e.disposeIntermediateTensorInfo(l),e.disposeIntermediateTensorInfo(c),e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f),d}var v3={kernelName:$s,backendName:"webgl",kernelFunc:wT};function Dnt(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{numSamples:s,seed:i,normalized:a}=n,u=a?o:wT({inputs:{logits:o},backend:e,attrs:{dim:o.shape.length-1}}),l=u.shape[0],c=u.shape[1],p=new LC(l,c,s),m=[[i]],f=e.runWebGLProgram(p,[u],"int32",m);return a||e.disposeIntermediateTensorInfo(u),f}var S3={kernelName:_p,backendName:"webgl",kernelFunc:Dnt};var Rnt=pr+` +`,Sk=le({opSnippet:Knt,packedOpSnippet:jnt,checkOutOfBounds:!0}),A3={kernelName:Qo,backendName:"webgl",kernelFunc:Sk};var $3="return a - b;",vk=le({opSnippet:$3,packedOpSnippet:$3,supportsComplex:!0,cpuKernelImpl:XL}),D3={kernelName:Fs,backendName:"webgl",kernelFunc:vk};function Nk(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{dim:s}=n,i=y.parseAxisParam([s],o.shape),a=Ik({inputs:{x:o},backend:e,attrs:{reductionIndices:i,keepDims:!1}}),u=v.expandShapeToKeepDim(a.shape,i),l=st({inputs:{x:a},backend:e,attrs:{shape:u}}),c=vk({inputs:{a:o,b:l},backend:e}),p=bk({inputs:{x:c},backend:e}),m=Wc({inputs:{x:p},backend:e,attrs:{axis:i,keepDims:!1}}),f=st({inputs:{x:m},backend:e,attrs:{shape:u}}),d=Sk({inputs:{a:p,b:f},backend:e});return e.disposeIntermediateTensorInfo(a),e.disposeIntermediateTensorInfo(l),e.disposeIntermediateTensorInfo(c),e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f),d}var R3={kernelName:Ds,backendName:"webgl",kernelFunc:Nk};function Xnt(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{numSamples:s,seed:i,normalized:a}=n,u=a?o:Nk({inputs:{logits:o},backend:e,attrs:{dim:o.shape.length-1}}),l=u.shape[0],c=u.shape[1],p=new GC(l,c,s),m=[[i]],f=e.runWebGLProgram(p,[u],"int32",m);return a||e.disposeIntermediateTensorInfo(u),f}var F3={kernelName:_p,backendName:"webgl",kernelFunc:Xnt};var Ynt=fr+` return -x; -`,Fnt=` +`,Znt=` vec4 result = -x; bvec4 isNaN = isnan(x); @@ -3960,14 +3954,14 @@ return a / b;`,$nt=` result.a = isNaN.a ? x.a : result.a; return result; -`;function Ont(r){let{inputs:t,backend:e}=r,{x:n}=t;if(e.shouldExecuteOnCPU([n])){let s=e.texData.get(n.dataId),[i,a]=IL(s.values,n.shape,n.dtype);return e.makeTensorInfo(a,n.dtype,i)}let o;return M().getBool("WEBGL_PACK_UNARY_OPERATIONS")?o=new no(n.shape,Fnt):o=new tn(n.shape,Rnt),e.runWebGLProgram(o,[n],n.dtype)}var N3={kernelName:ui,backendName:"webgl",kernelFunc:Ont};var Pnt=Wr.nonMaxSuppressionV3Impl;function Lnt(r){S.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:e,attrs:n}=r,{boxes:o,scores:s}=t,{maxOutputSize:i,iouThreshold:a,scoreThreshold:u}=n,l=e.readSync(o.dataId),c=e.readSync(s.dataId),{selectedIndices:p}=Pnt(l,c,i,a,u);return e.makeTensorInfo([p.length],"int32",new Int32Array(p))}var k3={kernelName:$a,backendName:"webgl",kernelFunc:Lnt};var Mnt=Wr.nonMaxSuppressionV4Impl;function znt(r){S.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:e,attrs:n}=r,{boxes:o,scores:s}=t,{maxOutputSize:i,iouThreshold:a,scoreThreshold:u,padToMaxOutputSize:l}=n,c=e.readSync(o.dataId),p=e.readSync(s.dataId),{selectedIndices:m,validOutputs:f}=Mnt(c,p,i,a,u,l);return[e.makeTensorInfo([m.length],"int32",new Int32Array(m)),e.makeTensorInfo([],"int32",new Int32Array([f]))]}var T3={kernelName:Da,backendName:"webgl",kernelFunc:znt};var Bnt=Wr.nonMaxSuppressionV5Impl;function Vnt(r){S.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:e,attrs:n}=r,{boxes:o,scores:s}=t,{maxOutputSize:i,iouThreshold:a,scoreThreshold:u,softNmsSigma:l}=n,c=e.readSync(o.dataId),p=e.readSync(s.dataId),m=i,f=a,d=u,h=l,{selectedIndices:g,selectedScores:x}=Bnt(c,p,m,f,d,h);return[e.makeTensorInfo([g.length],"int32",new Int32Array(g)),e.makeTensorInfo([x.length],"float32",new Float32Array(x))]}var E3={kernelName:Ra,backendName:"webgl",kernelFunc:Vnt};var MC=class{constructor(t,e,n,o){this.variableNames=["indices"],this.outputShape=[t,e],this.userCode=` +`;function Jnt(r){let{inputs:t,backend:e}=r,{x:n}=t;if(e.shouldExecuteOnCPU([n])){let s=e.texData.get(n.dataId),[i,a]=$L(s.values,n.shape,n.dtype);return e.makeTensorInfo(a,n.dtype,i)}let o;return z().getBool("WEBGL_PACK_UNARY_OPERATIONS")?o=new so(n.shape,Znt):o=new tn(n.shape,Ynt),e.runWebGLProgram(o,[n],n.dtype)}var O3={kernelName:pi,backendName:"webgl",kernelFunc:Jnt};var Qnt=Ur.nonMaxSuppressionV3Impl;function tot(r){v.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:e,attrs:n}=r,{boxes:o,scores:s}=t,{maxOutputSize:i,iouThreshold:a,scoreThreshold:u}=n,l=e.readSync(o.dataId),c=e.readSync(s.dataId),{selectedIndices:p}=Qnt(l,c,i,a,u);return e.makeTensorInfo([p.length],"int32",new Int32Array(p))}var P3={kernelName:Ra,backendName:"webgl",kernelFunc:tot};var eot=Ur.nonMaxSuppressionV4Impl;function rot(r){v.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:e,attrs:n}=r,{boxes:o,scores:s}=t,{maxOutputSize:i,iouThreshold:a,scoreThreshold:u,padToMaxOutputSize:l}=n,c=e.readSync(o.dataId),p=e.readSync(s.dataId),{selectedIndices:m,validOutputs:f}=eot(c,p,i,a,u,l);return[e.makeTensorInfo([m.length],"int32",new Int32Array(m)),e.makeTensorInfo([],"int32",new Int32Array([f]))]}var L3={kernelName:Fa,backendName:"webgl",kernelFunc:rot};var not=Ur.nonMaxSuppressionV5Impl;function oot(r){v.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:e,attrs:n}=r,{boxes:o,scores:s}=t,{maxOutputSize:i,iouThreshold:a,scoreThreshold:u,softNmsSigma:l}=n,c=e.readSync(o.dataId),p=e.readSync(s.dataId),m=i,f=a,d=u,h=l,{selectedIndices:g,selectedScores:x}=not(c,p,m,f,d,h);return[e.makeTensorInfo([g.length],"int32",new Int32Array(g)),e.makeTensorInfo([x.length],"float32",new Float32Array(x))]}var M3={kernelName:Oa,backendName:"webgl",kernelFunc:oot};var WC=class{constructor(t,e,n,o){this.variableNames=["indices"],this.outputShape=[t,e],this.userCode=` void main() { ivec2 coords = getOutputCoords(); int index = round(getIndices(coords.x)); setOutput(mix(float(${o}), float(${n}), float(index == coords.y))); } - `}};var Gnt=r=>{let{inputs:t,backend:e,attrs:n}=r,{indices:o}=t,{dtype:s,depth:i,onValue:a,offValue:u}=n,l=y.sizeFromShape(o.shape),c=new MC(l,i,a,u),p=st({inputs:{x:o},backend:e,attrs:{shape:[l]}}),m=e.runWebGLProgram(c,[p],s);e.disposeIntermediateTensorInfo(p);let f=[...o.shape,i],d=st({inputs:{x:m},backend:e,attrs:{shape:f}});return e.disposeIntermediateTensorInfo(m),d},_3={kernelName:hs,backendName:"webgl",kernelFunc:Gnt};function tg(r){let{inputs:t,backend:e}=r,{x:n}=t;if(n.dtype==="complex64"){let o=yl({inputs:{input:n},backend:e}),s=tg({inputs:{x:o},backend:e}),i=Hc({inputs:{input:n},backend:e}),a=tg({inputs:{x:i},backend:e}),u=Tn({inputs:{real:s,imag:a},backend:e});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(s),e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(a),u}else return bl({attrs:{shape:n.shape,dtype:n.dtype,value:n.dtype==="string"?"":0},backend:e})}var A3={kernelName:yi,backendName:"webgl",kernelFunc:tg};function $3(r){let{inputs:t,backend:e}=r,{x:n}=t;if(n.dtype==="string")throw new Error("onesLike is not supported under string dtype");if(n.dtype==="complex64"){let o=yl({inputs:{input:n},backend:e}),s=$3({inputs:{x:o},backend:e}),i=Hc({inputs:{input:n},backend:e}),a=tg({inputs:{x:i},backend:e}),u=Tn({inputs:{real:s,imag:a},backend:e});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(s),e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(a),u}else return bl({attrs:{shape:n.shape,dtype:n.dtype,value:1},backend:e})}var D3={kernelName:ci,backendName:"webgl",kernelFunc:$3};function Wnt(r){let{inputs:t,backend:e,attrs:n}=r,{axis:o}=n;if(t.length===1)return IC({inputs:{input:t[0]},backend:e,attrs:{dim:o}});let s=t[0].shape,i=t[0].dtype;t.forEach(c=>{y.assertShapesMatch(s,c.shape,"All tensors passed to stack must have matching shapes"),y.assert(i===c.dtype,()=>"All tensors passed to stack must have matching dtypes")});let a=[],u=t.map(c=>{let p=IC({inputs:{input:c},backend:e,attrs:{dim:o}});return a.push(p),p}),l=fT({inputs:u,backend:e,attrs:{axis:o}});return a.forEach(c=>e.disposeIntermediateTensorInfo(c)),l}var R3={kernelName:pi,backendName:"webgl",kernelFunc:Wnt};var zC=class{constructor(t,e,n){this.variableNames=["x"],this.customUniforms=[{name:"value",type:"float"}],this.outputShape=e.map((l,c)=>l[0]+t[c]+l[1]);let o=t.length,s=zt(o),i=e.map(l=>l[0]).join(","),a=e.map((l,c)=>l[0]+t[c]).join(","),u=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,o);if(o===1){this.userCode=` + `}};var sot=r=>{let{inputs:t,backend:e,attrs:n}=r,{indices:o}=t,{dtype:s,depth:i,onValue:a,offValue:u}=n,l=y.sizeFromShape(o.shape),c=new WC(l,i,a,u),p=st({inputs:{x:o},backend:e,attrs:{shape:[l]}}),m=e.runWebGLProgram(c,[p],s);e.disposeIntermediateTensorInfo(p);let f=[...o.shape,i],d=st({inputs:{x:m},backend:e,attrs:{shape:f}});return e.disposeIntermediateTensorInfo(m),d},z3={kernelName:gs,backendName:"webgl",kernelFunc:sot};function sg(r){let{inputs:t,backend:e}=r,{x:n}=t;if(n.dtype==="complex64"){let o=wl({inputs:{input:n},backend:e}),s=sg({inputs:{x:o},backend:e}),i=Hc({inputs:{input:n},backend:e}),a=sg({inputs:{x:i},backend:e}),u=En({inputs:{real:s,imag:a},backend:e});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(s),e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(a),u}else return Cl({attrs:{shape:n.shape,dtype:n.dtype,value:n.dtype==="string"?"":0},backend:e})}var B3={kernelName:wi,backendName:"webgl",kernelFunc:sg};function V3(r){let{inputs:t,backend:e}=r,{x:n}=t;if(n.dtype==="string")throw new Error("onesLike is not supported under string dtype");if(n.dtype==="complex64"){let o=wl({inputs:{input:n},backend:e}),s=V3({inputs:{x:o},backend:e}),i=Hc({inputs:{input:n},backend:e}),a=sg({inputs:{x:i},backend:e}),u=En({inputs:{real:s,imag:a},backend:e});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(s),e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(a),u}else return Cl({attrs:{shape:n.shape,dtype:n.dtype,value:1},backend:e})}var G3={kernelName:mi,backendName:"webgl",kernelFunc:V3};function iot(r){let{inputs:t,backend:e,attrs:n}=r,{axis:o}=n;if(t.length===1)return kC({inputs:{input:t[0]},backend:e,attrs:{dim:o}});let s=t[0].shape,i=t[0].dtype;t.forEach(c=>{y.assertShapesMatch(s,c.shape,"All tensors passed to stack must have matching shapes"),y.assert(i===c.dtype,()=>"All tensors passed to stack must have matching dtypes")});let a=[],u=t.map(c=>{let p=kC({inputs:{input:c},backend:e,attrs:{dim:o}});return a.push(p),p}),l=yk({inputs:u,backend:e,attrs:{axis:o}});return a.forEach(c=>e.disposeIntermediateTensorInfo(c)),l}var W3={kernelName:fi,backendName:"webgl",kernelFunc:iot};var UC=class{constructor(t,e,n){this.variableNames=["x"],this.customUniforms=[{name:"value",type:"float"}],this.outputShape=e.map((l,c)=>l[0]+t[c]+l[1]);let o=t.length,s=zt(o),i=e.map(l=>l[0]).join(","),a=e.map((l,c)=>l[0]+t[c]).join(","),u=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,o);if(o===1){this.userCode=` int start = ${i}; int end = ${a}; @@ -3992,7 +3986,7 @@ return a / b;`,$nt=` setOutput(getX(${u})); } } - `}};var BC=class{constructor(t,e,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"value",type:"float"}],this.outputShape=e.map((h,g)=>h[0]+t[g]+h[1]);let o=t.length,s=zt(o),i=e.map(h=>h[0]).join(","),a=e.map((h,g)=>h[0]+t[g]).join(","),u=Qe("rc",o),l=Qe("source",o),c=`${u[o-1]} < ${this.outputShape[o-1]}`,p=o===1?"source":`vec2(${l.slice(-2).join()})`,m=[`${s} rc = outputLoc;`,`${u[o-1]} += 1; + `}};var HC=class{constructor(t,e,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"value",type:"float"}],this.outputShape=e.map((h,g)=>h[0]+t[g]+h[1]);let o=t.length,s=zt(o),i=e.map(h=>h[0]).join(","),a=e.map((h,g)=>h[0]+t[g]).join(","),u=Qe("rc",o),l=Qe("source",o),c=`${u[o-1]} < ${this.outputShape[o-1]}`,p=o===1?"source":`vec2(${l.slice(-2).join()})`,m=[`${s} rc = outputLoc;`,`${u[o-1]} += 1; if(${c}) { `,o===1?"":`} rc = outputLoc; @@ -4016,7 +4010,7 @@ return a / b;`,$nt=` ${d} setOutput(result); } - `}};var CT=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{paddings:s,constantValue:i}=n;if(y.sizeFromShape(o.shape)===0){let l=s.map((c,p)=>c[0]+o.shape[p]+c[1]);return bl({backend:e,attrs:{shape:l,value:i,dtype:o.dtype}})}let a=M().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new BC(o.shape,s,i):new zC(o.shape,s,i),u=[[i]];return e.runWebGLProgram(a,[o],o.dtype,u)},F3={kernelName:gs,backendName:"webgl",kernelFunc:CT};var Unt=` + `}};var Tk=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{paddings:s,constantValue:i}=n;if(y.sizeFromShape(o.shape)===0){let l=s.map((c,p)=>c[0]+o.shape[p]+c[1]);return Cl({backend:e,attrs:{shape:l,value:i,dtype:o.dtype}})}let a=z().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new HC(o.shape,s,i):new UC(o.shape,s,i),u=[[i]];return e.runWebGLProgram(a,[o],o.dtype,u)},U3={kernelName:xs,backendName:"webgl",kernelFunc:Tk};var aot=` if(a < 0.0 && floor(b) < b){ return NAN; } @@ -4025,7 +4019,7 @@ return a / b;`,$nt=` } return (round(mod(b, 2.0)) != 1) ? pow(abs(a), b) : sign(a) * pow(abs(a), b); -`,Hnt=` +`,lot=` // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise. vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1))); vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1); @@ -4041,11 +4035,11 @@ return a / b;`,$nt=` bvec4 isNaN1 = lessThan(a, vec4(0.0)); bvec4 isNaN2 = lessThan(floor(b), b); bvec4 isNaN = bvec4(isNaN1.x && isNaN2.x, isNaN1.y && isNaN2.y, isNaN1.z && isNaN2.z, isNaN1.w && isNaN2.w); - `+ji+` + `+Yi+` return result; -`,qnt=le({opSnippet:Unt,packedOpSnippet:Hnt}),O3={kernelName:xs,backendName:"webgl",kernelFunc:qnt};function Knt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=[],l=y.parseAxisParam(s,o.shape),c=l,p=S.getAxesPermutation(c,a),m=o;p!=null&&(m=Fe({inputs:{x:o},backend:e,attrs:{perm:p}}),c=S.getInnerMostAxes(c.length,a),u.push(m)),S.assertAxesAreInnerMostDims("prod",c,a);let f;if(e.shouldExecuteOnCPU([m])){let d=e.texData.get(m.dataId).values,{outVals:h,outShape:g,outDtype:x}=SL(m.shape,m.dtype,d,c);f=e.makeTensorInfo(g,x,h)}else{let[d,h]=S.computeOutAndReduceShapes(m.shape,c),g=y.sizeFromShape(h),x=st({inputs:{x:m},backend:e,attrs:{shape:[-1,g]}}),b=Gu(o.dtype),w=Gn(x,b,"prod",e);f=st({inputs:{x:w},backend:e,attrs:{shape:d}}),u.push(x),u.push(w)}if(i){u.push(f);let d=S.expandShapeToKeepDim(f.shape,l);f=st({inputs:{x:f},backend:e,attrs:{shape:d}})}return u.forEach(d=>e.disposeIntermediateTensorInfo(d)),f}var P3={kernelName:bs,backendName:"webgl",kernelFunc:Knt};function jnt(r){let{inputs:t,backend:e,attrs:n}=r,{paramsNestedSplits:o,paramsDenseValues:s,indices:i}=t,{outputRaggedRank:a}=n,u=o.map(x=>e.readSync(x.dataId)),l=o.map(x=>x.shape),c=e.readSync(s.dataId),p=e.readSync(i.dataId),[m,f,d]=NL(u,l,c,s.shape,s.dtype,p,i.shape,a),h=m.map(x=>e.makeTensorInfo([x.length],"int32",x)),g=e.makeTensorInfo(d,s.dtype,f);return h.concat([g])}var L3={kernelName:Ap,backendName:"webgl",kernelFunc:jnt};function Xnt(r){let{inputs:t,backend:e,attrs:n}=r,{shape:o,values:s,defaultValue:i,rowPartitionTensors:a}=t,{rowPartitionTypes:u}=n,l=e.readSync(o.dataId),c=e.readSync(s.dataId),p=e.readSync(i.dataId),m=a.map(g=>e.readSync(g.dataId)),f=a.map(g=>g.shape),[d,h]=kL(l,o.shape,c,s.shape,s.dtype,p,i.shape,m,f,u);return e.makeTensorInfo(d,s.dtype,h)}var M3={kernelName:$p,backendName:"webgl",kernelFunc:Xnt};var IT=r=>{let{backend:t,attrs:e}=r,{start:n,stop:o,step:s,dtype:i}=e,a=TL(n,o,s,i);return t.makeTensorInfo([a.length],i,a)},z3={kernelName:Rl,backendName:"webgl",kernelFunc:IT};var Ynt="return 1.0 / x;",Znt=Ct({opSnippet:Ynt}),B3={kernelName:Fa,backendName:"webgl",kernelFunc:Znt};var Jnt=pr+` +`,uot=le({opSnippet:aot,packedOpSnippet:lot}),H3={kernelName:ys,backendName:"webgl",kernelFunc:uot};function cot(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=[],l=y.parseAxisParam(s,o.shape),c=l,p=v.getAxesPermutation(c,a),m=o;p!=null&&(m=Oe({inputs:{x:o},backend:e,attrs:{perm:p}}),c=v.getInnerMostAxes(c.length,a),u.push(m)),v.assertAxesAreInnerMostDims("prod",c,a);let f;if(e.shouldExecuteOnCPU([m])){let d=e.texData.get(m.dataId).values,{outVals:h,outShape:g,outDtype:x}=RL(m.shape,m.dtype,d,c);f=e.makeTensorInfo(g,x,h)}else{let[d,h]=v.computeOutAndReduceShapes(m.shape,c),g=y.sizeFromShape(h),x=st({inputs:{x:m},backend:e,attrs:{shape:[-1,g]}}),b=Wu(o.dtype),w=Un(x,b,"prod",e);f=st({inputs:{x:w},backend:e,attrs:{shape:d}}),u.push(x),u.push(w)}if(i){u.push(f);let d=v.expandShapeToKeepDim(f.shape,l);f=st({inputs:{x:f},backend:e,attrs:{shape:d}})}return u.forEach(d=>e.disposeIntermediateTensorInfo(d)),f}var q3={kernelName:ws,backendName:"webgl",kernelFunc:cot};function pot(r){let{inputs:t,backend:e,attrs:n}=r,{paramsNestedSplits:o,paramsDenseValues:s,indices:i}=t,{outputRaggedRank:a}=n,u=o.map(x=>e.readSync(x.dataId)),l=o.map(x=>x.shape),c=e.readSync(s.dataId),p=e.readSync(i.dataId),[m,f,d]=FL(u,l,c,s.shape,s.dtype,p,i.shape,a),h=m.map(x=>e.makeTensorInfo([x.length],"int32",x)),g=e.makeTensorInfo(d,s.dtype,f);return h.concat([g])}var K3={kernelName:Ap,backendName:"webgl",kernelFunc:pot};function mot(r){let{inputs:t,backend:e}=r,{starts:n,limits:o,deltas:s}=t,i=e.readSync(n.dataId),a=e.readSync(o.dataId),u=e.readSync(s.dataId),[l,c]=OL(i,n.shape,n.dtype,a,o.shape,u,s.shape),p=e.makeTensorInfo([l.length],"int32",l),m=e.makeTensorInfo([c.length],n.dtype,c);return[p,m]}var j3={kernelName:$p,backendName:"webgl",kernelFunc:mot};function fot(r){let{inputs:t,backend:e,attrs:n}=r,{shape:o,values:s,defaultValue:i,rowPartitionTensors:a}=t,{rowPartitionTypes:u}=n,l=e.readSync(o.dataId),c=e.readSync(s.dataId),p=e.readSync(i.dataId),m=a.map(g=>e.readSync(g.dataId)),f=a.map(g=>g.shape),[d,h]=PL(l,o.shape,c,s.shape,s.dtype,p,i.shape,m,f,u);return e.makeTensorInfo(d,s.dtype,h)}var X3={kernelName:Dp,backendName:"webgl",kernelFunc:fot};var kk=r=>{let{backend:t,attrs:e}=r,{start:n,stop:o,step:s,dtype:i}=e,a=LL(n,o,s,i);return t.makeTensorInfo([a.length],i,a)},Y3={kernelName:Ol,backendName:"webgl",kernelFunc:kk};var dot="return 1.0 / x;",hot=Ct({opSnippet:dot}),Z3={kernelName:Pa,backendName:"webgl",kernelFunc:hot};var got=fr+` return (x < 0.0) ? 0.0 : x; -`,Qnt=` +`,xot=` vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0))); bvec4 isNaN = isnan(x); @@ -4055,9 +4049,9 @@ return a / b;`,$nt=` result.a = isNaN.a ? x.a : result.a; return result; -`,tot=Ct({opSnippet:Jnt,packedOpSnippet:Qnt}),V3={kernelName:ws,backendName:"webgl",kernelFunc:tot};var eot=pr+` +`,yot=Ct({opSnippet:got,packedOpSnippet:xot}),J3={kernelName:Cs,backendName:"webgl",kernelFunc:yot};var bot=fr+` return (x < 0.0) ? 0.0 : min(6.0, x); -`,rot=` +`,wot=` vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0))); bvec4 isNaN = isnan(x); @@ -4067,7 +4061,7 @@ return a / b;`,$nt=` result.a = isNaN.a ? x.a : result.a; return result; -`,not=Ct({opSnippet:eot,packedOpSnippet:rot}),G3={kernelName:vs,backendName:"webgl",kernelFunc:not};var VC=class{constructor(t,e,n,o,s){this.variableNames=["A"],this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m;s?m="(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":m="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` +`,Cot=Ct({opSnippet:bot,packedOpSnippet:wot}),Q3={kernelName:vs,backendName:"webgl",kernelFunc:Cot};var qC=class{constructor(t,e,n,o,s){this.variableNames=["A"],this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m;s?m="(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":m="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` const vec2 effectiveInputOverOutputRatioRC = vec2( ${c[0]/p[0]}, ${c[1]/p[1]}); @@ -4100,7 +4094,7 @@ return a / b;`,$nt=` setOutput(newValue); } - `}};var GC=class{constructor(t,e,n,o,s){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m;s?m="(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":m="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` + `}};var KC=class{constructor(t,e,n,o,s){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m;s?m="(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":m="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` const vec3 effectiveInputOverOutputRatioRC = vec3( ${c[0]/p[0]}, ${c[1]/p[1]}, @@ -4177,7 +4171,7 @@ return a / b;`,$nt=` setOutput(newValue); } - `}};function oot(r){let{inputs:t,backend:e,attrs:n}=r,{images:o}=t,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,c=M().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new GC(o.shape,u,l,s,i):new VC(o.shape,u,l,s,i);return e.runWebGLProgram(c,[o],"float32")}var W3={kernelName:Is,backendName:"webgl",kernelFunc:oot};var WC=class{constructor(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e;let[,o,s]=e,[,i,a]=t,u=[n&&i>1?o-1:o,n&&a>1?s-1:s],l=[n&&i>1?i-1:i,n&&a>1?a-1:a],c=u[0]/l[0],p=u[1]/l[1],m=1/c,f=1/p,d=Math.ceil(m)*2+2,h=Math.ceil(f)*2+2;this.userCode=` + `}};function Iot(r){let{inputs:t,backend:e,attrs:n}=r,{images:o}=t,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,c=z().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new KC(o.shape,u,l,s,i):new qC(o.shape,u,l,s,i);return e.runWebGLProgram(c,[o],"float32")}var tB={kernelName:Ss,backendName:"webgl",kernelFunc:Iot};var jC=class{constructor(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e;let[,o,s]=e,[,i,a]=t,u=[n&&i>1?o-1:o,n&&a>1?s-1:s],l=[n&&i>1?i-1:i,n&&a>1?a-1:a],c=u[0]/l[0],p=u[1]/l[1],m=1/c,f=1/p,d=Math.ceil(m)*2+2,h=Math.ceil(f)*2+2;this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; @@ -4258,7 +4252,7 @@ return a / b;`,$nt=` setOutput(accumulator); } - `}};function sot(r){let{inputs:t,backend:e,attrs:n}=r,{images:o,dy:s}=t,{alignCorners:i}=n,a=new WC(s.shape,o.shape,i);return e.runWebGLProgram(a,[s],s.dtype)}var U3={kernelName:Fp,backendName:"webgl",kernelFunc:sot};var UC=class{constructor(t,e,n,o,s){this.variableNames=["A"],this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m=o?"0.5":"0.0",f;s?f="max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":f="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` + `}};function Sot(r){let{inputs:t,backend:e,attrs:n}=r,{images:o,dy:s}=t,{alignCorners:i}=n,a=new jC(s.shape,o.shape,i);return e.runWebGLProgram(a,[s],s.dtype)}var eB={kernelName:Op,backendName:"webgl",kernelFunc:Sot};var XC=class{constructor(t,e,n,o,s){this.variableNames=["A"],this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m=o?"0.5":"0.0",f;s?f="max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":f="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` const vec2 effectiveInputOverOutputRatioRC = vec2( ${c[0]/p[0]}, ${c[1]/p[1]}); @@ -4280,7 +4274,7 @@ return a / b;`,$nt=` setOutput(newValue); } - `}};var HC=class{constructor(t,e,n,o,s){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m=o?"0.5":"0.0",f;s?f="max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))":f="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` + `}};var YC=class{constructor(t,e,n,o,s){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m=o?"0.5":"0.0",f;s?f="max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))":f="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` const vec3 effectiveInputOverOutputRatioRC = vec3( ${c[0]/p[0]}, ${c[1]/p[1]}, @@ -4321,7 +4315,7 @@ return a / b;`,$nt=` setOutput(newValue); } - `}};function iot(r){let{inputs:t,backend:e,attrs:n}=r,{images:o}=t,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,c=M().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new HC(o.shape,u,l,s,i):new UC(o.shape,u,l,s,i);return e.runWebGLProgram(c,[o],o.dtype)}var H3={kernelName:Cs,backendName:"webgl",kernelFunc:iot};var qC=class{constructor(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e;let[,o,s]=e,[,i,a]=t,u=[n&&i>1?o-1:o,n&&a>1?s-1:s],l=[n&&i>1?i-1:i,n&&a>1?a-1:a],c=u[0]/l[0],p=u[1]/l[1],m=1/c,f=1/p,d=Math.ceil(m)*2+2,h=Math.ceil(f)*2+2;this.userCode=` + `}};function vot(r){let{inputs:t,backend:e,attrs:n}=r,{images:o}=t,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,c=z().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new YC(o.shape,u,l,s,i):new XC(o.shape,u,l,s,i);return e.runWebGLProgram(c,[o],o.dtype)}var rB={kernelName:Is,backendName:"webgl",kernelFunc:vot};var ZC=class{constructor(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e;let[,o,s]=e,[,i,a]=t,u=[n&&i>1?o-1:o,n&&a>1?s-1:s],l=[n&&i>1?i-1:i,n&&a>1?a-1:a],c=u[0]/l[0],p=u[1]/l[1],m=1/c,f=1/p,d=Math.ceil(m)*2+2,h=Math.ceil(f)*2+2;this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; @@ -4391,7 +4385,7 @@ return a / b;`,$nt=` setOutput(accumulator); } - `}};function aot(r){let{inputs:t,backend:e,attrs:n}=r,{images:o,dy:s}=t,{alignCorners:i}=n,a=new qC(s.shape,o.shape,i);return e.runWebGLProgram(a,[s],s.dtype)}var q3={kernelName:Rp,backendName:"webgl",kernelFunc:aot};var KC=class{constructor(t,e){this.variableNames=["x"];let n=t.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);if(this.outputShape=t,n===1){this.userCode=` + `}};function Not(r){let{inputs:t,backend:e,attrs:n}=r,{images:o,dy:s}=t,{alignCorners:i}=n,a=new ZC(s.shape,o.shape,i);return e.runWebGLProgram(a,[s],s.dtype)}var nB={kernelName:Fp,backendName:"webgl",kernelFunc:Not};var JC=class{constructor(t,e){this.variableNames=["x"];let n=t.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);if(this.outputShape=t,n===1){this.userCode=` void main() { int coord = getOutputCoords(); setOutput(getX(${t[0]} - coord - 1)); @@ -4401,7 +4395,7 @@ return a / b;`,$nt=` ${i} coords = getOutputCoords(); setOutput(getX(${s})); } - `}};var jC=class{constructor(t,e){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;let n=t.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);this.outputShape=t;let o=Qe("rc",n),s=`${o[n-1]} + 1 < ${this.outputShape[n-1]}`,i=`${o[n-2]} + 1 < ${this.outputShape[n-2]}`,a=zt(n);n===1?this.userCode=` + `}};var QC=class{constructor(t,e){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;let n=t.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);this.outputShape=t;let o=Qe("rc",n),s=`${o[n-1]} + 1 < ${this.outputShape[n-1]}`,i=`${o[n-2]} + 1 < ${this.outputShape[n-2]}`,a=zt(n);n===1?this.userCode=` void main(){ int rc = getOutputCoords(); vec4 result = vec4(0.); @@ -4429,7 +4423,7 @@ return a / b;`,$nt=` } setOutput(result); } - `;function u(d){return m(d)}function l(d){return d[n-1]="("+d[n-1]+" + 1)",m(d)}function c(d){return d[n-2]="("+d[n-2]+" + 1)",m(d)}function p(d){return d[n-1]="("+d[n-1]+" + 1)",d[n-2]="("+d[n-2]+" + 1)",m(d)}function m(d){let h=t.map((b,w)=>f(w,d)),g=h.join(","),x=h.slice(-2).join(",");return`getChannel(getX(${g}), vec2(${x}))`}function f(d,h){return e.indexOf(d)!==-1&&t[d]!==1?`${t[d]} - ${h[d]} - 1`:`${h[d]}`}}};function lot(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dims:s}=n,i=o.shape.length,a=y.parseAxisParam(s,o.shape);if(i===0)return tr({inputs:{x:o},backend:e});let u=M().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new jC(o.shape,a):new KC(o.shape,a);return e.runWebGLProgram(u,[o],o.dtype)}var K3={kernelName:Ss,backendName:"webgl",kernelFunc:lot};var XC=class{constructor(t,e){this.variableNames=["Image"],this.outputShape=[],this.customUniforms=[{name:"params",type:"vec4"}];let n=t[1],o=t[2];this.outputShape=t;let s="";typeof e=="number"?s=`float outputValue = ${e.toFixed(2)};`:s=` + `;function u(d){return m(d)}function l(d){return d[n-1]="("+d[n-1]+" + 1)",m(d)}function c(d){return d[n-2]="("+d[n-2]+" + 1)",m(d)}function p(d){return d[n-1]="("+d[n-1]+" + 1)",d[n-2]="("+d[n-2]+" + 1)",m(d)}function m(d){let h=t.map((b,w)=>f(w,d)),g=h.join(","),x=h.slice(-2).join(",");return`getChannel(getX(${g}), vec2(${x}))`}function f(d,h){return e.indexOf(d)!==-1&&t[d]!==1?`${t[d]} - ${h[d]} - 1`:`${h[d]}`}}};function Tot(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dims:s}=n,i=o.shape.length,a=y.parseAxisParam(s,o.shape);if(i===0)return tr({inputs:{x:o},backend:e});let u=z().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new QC(o.shape,a):new JC(o.shape,a);return e.runWebGLProgram(u,[o],o.dtype)}var oB={kernelName:Ns,backendName:"webgl",kernelFunc:Tot};var tI=class{constructor(t,e){this.variableNames=["Image"],this.outputShape=[],this.customUniforms=[{name:"params",type:"vec4"}];let n=t[1],o=t[2];this.outputShape=t;let s="";typeof e=="number"?s=`float outputValue = ${e.toFixed(2)};`:s=` vec3 fill = vec3(${e.join(",")}); float outputValue = fill[coords[3]];`,this.userCode=` void main() { @@ -4448,7 +4442,7 @@ return a / b;`,$nt=` } setOutput(outputValue); } - `}};var j3={kernelName:Ua,backendName:"webgl",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{image:n}=r,{radians:o,fillValue:s,center:i}=t,a=e,u=new XC(n.shape,s),[l,c]=S.getImageCenter(i,n.shape[1],n.shape[2]),p=[[l,c,Math.sin(o),Math.cos(o)]];return a.runWebGLProgram(u,[n],n.dtype,p)}};var uot=` + `}};var sB={kernelName:qa,backendName:"webgl",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{image:n}=r,{radians:o,fillValue:s,center:i}=t,a=e,u=new tI(n.shape,s),[l,c]=v.getImageCenter(i,n.shape[1],n.shape[2]),p=[[l,c,Math.sin(o),Math.cos(o)]];return a.runWebGLProgram(u,[n],n.dtype,p)}};var kot=` // OpenGL ES does not support round function. // The algorithm is based on banker's rounding. float base = floor(x); @@ -4463,7 +4457,7 @@ return a / b;`,$nt=` return base + 1.0; } } -`,cot=Ct({opSnippet:uot}),X3={kernelName:Ns,backendName:"webgl",kernelFunc:cot};var pot="return inversesqrt(x);",mot=Ct({opSnippet:pot,cpuKernelImpl:EL}),Y3={kernelName:ks,backendName:"webgl",kernelFunc:mot};var Td=class{constructor(t,e,n,o,s,i,a=!0){this.variableNames=["updates","indices","defaultValue"],this.outputShape=i;let u=zt(s.length),l=zt(i.length),c="";n===1?c="i":n===2&&(c="i, j");let p=`getIndices(${c})`,m="";o===1?m="i":o===2&&(m="i, coords[1]");let f=`getUpdates(${m})`,d=e>1?"strides[j]":"strides";this.userCode=` +`,Eot=Ct({opSnippet:kot}),iB={kernelName:Ts,backendName:"webgl",kernelFunc:Eot};var _ot="return inversesqrt(x);",Aot=Ct({opSnippet:_ot,cpuKernelImpl:ML}),aB={kernelName:ks,backendName:"webgl",kernelFunc:Aot};var $d=class{constructor(t,e,n,o,s,i,a=!0){this.variableNames=["updates","indices","defaultValue"],this.outputShape=i;let u=zt(s.length),l=zt(i.length),c="";n===1?c="i":n===2&&(c="i, j");let p=`getIndices(${c})`,m="";o===1?m="i":o===2&&(m="i, coords[1]");let f=`getUpdates(${m})`,d=e>1?"strides[j]":"strides";this.userCode=` ${u} strides = ${u}(${s}); void main() { @@ -4483,7 +4477,7 @@ return a / b;`,$nt=` } setOutput(mix(getDefaultValue(), sum, float(found))); } - `}};function fot(r){let{inputs:t,backend:e,attrs:n}=r,{indices:o,updates:s}=t,{shape:i}=n,{sliceRank:a,numUpdates:u,sliceSize:l,strides:c,outputSize:p}=S.calculateShapes(s,o,i),m=[p/l,l];if(p===0)return e.makeTensorInfo(i,o.dtype);let f=st({inputs:{x:o},backend:e,attrs:{shape:[u,a]}}),d=st({inputs:{x:s},backend:e,attrs:{shape:[u,l]}}),h=e.makeTensorInfo([],"float32",new Float32Array([0])),g=new Td(u,a,f.shape.length,d.shape.length,c,m),x=e.runWebGLProgram(g,[d,f,h],d.dtype),b=st({inputs:{x},backend:e,attrs:{shape:i}});return e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(x),e.disposeIntermediateTensorInfo(h),b}var Z3={kernelName:Oa,backendName:"webgl",kernelFunc:fot};var YC=class{constructor(t,e,n,o){this.variableNames=["sortedSequence","values"],this.customUniforms=[{name:"numInputs",type:"int"}],this.outputShape=[t,n];let s="while (left < right) {",i=`for (int i = 0; i < ${Math.ceil(Math.log2(e+1))}; ++i) { if (left >= right) break;`,a=M().getNumber("WEBGL_VERSION")===2?s:i,u=o==="left"?"<":"<=";this.userCode=` + `}};function $ot(r){let{inputs:t,backend:e,attrs:n}=r,{indices:o,updates:s}=t,{shape:i}=n,{sliceRank:a,numUpdates:u,sliceSize:l,strides:c,outputSize:p}=v.calculateShapes(s,o,i),m=[p/l,l];if(p===0)return e.makeTensorInfo(i,o.dtype);let f=st({inputs:{x:o},backend:e,attrs:{shape:[u,a]}}),d=st({inputs:{x:s},backend:e,attrs:{shape:[u,l]}}),h=e.makeTensorInfo([],"float32",new Float32Array([0])),g=new $d(u,a,f.shape.length,d.shape.length,c,m),x=e.runWebGLProgram(g,[d,f,h],d.dtype),b=st({inputs:{x},backend:e,attrs:{shape:i}});return e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(x),e.disposeIntermediateTensorInfo(h),b}var lB={kernelName:La,backendName:"webgl",kernelFunc:$ot};var eI=class{constructor(t,e,n,o){this.variableNames=["sortedSequence","values"],this.customUniforms=[{name:"numInputs",type:"int"}],this.outputShape=[t,n];let s="while (left < right) {",i=`for (int i = 0; i < ${Math.ceil(Math.log2(e+1))}; ++i) { if (left >= right) break;`,a=z().getNumber("WEBGL_VERSION")===2?s:i,u=o==="left"?"<":"<=";this.userCode=` int findBound(int batch, float value) { int left = 0; int right = numInputs; @@ -4508,7 +4502,7 @@ return a / b;`,$nt=` setOutput(float(findBound(batch, value))); } - `}};function dot(r){let{inputs:t,backend:e,attrs:n}=r,{sortedSequence:o,values:s}=t,{side:i}=n,a=new YC(o.shape[0],o.shape[1],s.shape[1],i),u=[[o.shape[1]]];return e.runWebGLProgram(a,[o,s],"int32",u)}var J3={kernelName:Op,backendName:"webgl",kernelFunc:dot};var ZC=class{constructor(t,e,n){this.variableNames=["c","a","b"],this.outputShape=e;let o,s;if(n>4)throw Error(`Where for rank ${n} is not yet supported`);if(n===1)s="resRC",o="resRC";else{let a=["resRC.x","resRC.y","resRC.z","resRC.w"],u=[],l=[];for(let c=0;c4)throw Error(`Where for rank ${n} is not yet supported`);if(n===1)s="resRC",o="resRC";else{let a=["resRC.x","resRC.y","resRC.z","resRC.w"],u=[],l=[];for(let c=0;c= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0); -`,xot=Ct({opSnippet:got}),tB={kernelName:Pa,backendName:"webgl",kernelFunc:xot};var yot=Oo+` +`,Oot=Ct({opSnippet:Fot}),pB={kernelName:Ma,backendName:"webgl",kernelFunc:Oot};var Pot=Po+` return 1.0 / (1.0 + exp(-1.0 * x)); -`,bot=` +`,Lot=` vec4 result = 1.0 / (1.0 + exp(-1.0 * x)); bvec4 isNaN = isnan(x); @@ -4536,15 +4530,15 @@ return a / b;`,$nt=` result.a = isNaN.a ? x.a : result.a; return result; -`,wot=Ct({opSnippet:yot,packedOpSnippet:bot,cpuKernelImpl:AL}),eB={kernelName:Es,backendName:"webgl",kernelFunc:wot};var Cot=` +`,Mot=Ct({opSnippet:Pot,packedOpSnippet:Lot,cpuKernelImpl:BL}),mB={kernelName:_s,backendName:"webgl",kernelFunc:Mot};var zot=` if (isnan(x)) { return 0.0; } return sign(x); -`,Iot=Ct({opSnippet:Cot}),rB={kernelName:Ma,backendName:"webgl",kernelFunc:Iot};var vot=Oo+` +`,Bot=Ct({opSnippet:zot}),fB={kernelName:Ba,backendName:"webgl",kernelFunc:Bot};var Vot=Po+` return sin(x); -`,Sot=Ct({opSnippet:vot}),nB={kernelName:Ts,backendName:"webgl",kernelFunc:Sot};var Not=` +`,Got=Ct({opSnippet:Vot}),dB={kernelName:Es,backendName:"webgl",kernelFunc:Got};var Wot=` float e2x = exp(x); return (e2x - 1.0 / e2x) / 2.0; -`,kot=Ct({opSnippet:Not}),oB={kernelName:La,backendName:"webgl",kernelFunc:kot};var Tot=` +`,Uot=Ct({opSnippet:Wot}),hB={kernelName:za,backendName:"webgl",kernelFunc:Uot};var Hot=` float epsilon = 1.1920928955078125e-7; float threshold = log(epsilon) + 2.0; @@ -4564,17 +4558,17 @@ return a / b;`,$nt=` result = log(exp_x + 1.0); } return result; -`,Eot=Ct({opSnippet:Tot}),sB={kernelName:za,backendName:"webgl",kernelFunc:Eot};var _ot=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,paddings:i}=n;y.assert(o.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");let a=s.reduce((x,b)=>x*b),u=[[0,0]];u.push(...i);for(let x=1+s.length;xe.disposeIntermediateTensorInfo(x)),g},iB={kernelName:hi,backendName:"webgl",kernelFunc:_ot};function Aot(r){let{inputs:t,backend:e}=r,{indices:n,values:o,denseShape:s,defaultValue:i}=t;if(s.shape.length!==1)throw new Error(`Dense shape must be a vector, saw: +`,qot=Ct({opSnippet:Hot}),gB={kernelName:Va,backendName:"webgl",kernelFunc:qot};var Kot=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,paddings:i}=n;y.assert(o.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");let a=s.reduce((x,b)=>x*b),u=[[0,0]];u.push(...i);for(let x=1+s.length;xe.disposeIntermediateTensorInfo(x)),g},xB={kernelName:xi,backendName:"webgl",kernelFunc:Kot};function jot(r){let{inputs:t,backend:e}=r,{indices:n,values:o,denseShape:s,defaultValue:i}=t;if(s.shape.length!==1)throw new Error(`Dense shape must be a vector, saw: ${s.shape}`);if(n.shape.length!==2)throw new Error(`Indices must be a matrix, saw: ${n.shape}`);if(o.shape.length!==1)throw new Error(`Values must be a vector, saw: ${o.shape}`);if(i.shape.length!==0)throw new Error(`Default value must be a scalar, saw: - ${i.shape}`);let a=e.readSync(n.dataId),u=e.readSync(o.dataId),l=e.readSync(s.dataId),c=e.readSync(i.dataId)[0],[p,m,f,d,h]=DL(a,n.shape,n.dtype,u,o.dtype,l,c);return[e.makeTensorInfo(m,n.dtype,p),e.makeTensorInfo([m[0]],o.dtype,f),e.makeTensorInfo([d.length],"bool",new Uint8Array(d.map(g=>Number(g)))),e.makeTensorInfo([h.length],n.dtype,new Int32Array(h))]}var aB={kernelName:Fl,backendName:"webgl",kernelFunc:Aot};function $ot(r){let{inputs:t,backend:e}=r,{inputIndices:n,inputShape:o,newShape:s}=t;if(n.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape ${n.shape}`);if(o.shape.length!==1)throw new Error(`Input shape should be a vector but received shape ${o.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=Array.from(e.readSync(o.dataId)),a=e.readSync(n.dataId),u=Array.from(e.readSync(s.dataId)),[l,c,p]=RL(a,n.shape,n.dtype,i,u);return[e.makeTensorInfo(c,n.dtype,l),e.makeTensorInfo([p.length],s.dtype,new Int32Array(p))]}var lB={kernelName:Ba,backendName:"webgl",kernelFunc:$ot};function Dot(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape + ${i.shape}`);let a=e.readSync(n.dataId),u=e.readSync(o.dataId),l=e.readSync(s.dataId),c=e.readSync(i.dataId)[0],[p,m,f,d,h]=GL(a,n.shape,n.dtype,u,o.dtype,l,c);return[e.makeTensorInfo(m,n.dtype,p),e.makeTensorInfo([m[0]],o.dtype,f),e.makeTensorInfo([d.length],"bool",new Uint8Array(d.map(g=>Number(g)))),e.makeTensorInfo([h.length],n.dtype,new Int32Array(h))]}var yB={kernelName:Pl,backendName:"webgl",kernelFunc:jot};function Xot(r){let{inputs:t,backend:e}=r,{inputIndices:n,inputShape:o,newShape:s}=t;if(n.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape ${n.shape}`);if(o.shape.length!==1)throw new Error(`Input shape should be a vector but received shape ${o.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=Array.from(e.readSync(o.dataId)),a=e.readSync(n.dataId),u=Array.from(e.readSync(s.dataId)),[l,c,p]=WL(a,n.shape,n.dtype,i,u);return[e.makeTensorInfo(c,n.dtype,l),e.makeTensorInfo([p.length],s.dtype,new Int32Array(p))]}var bB={kernelName:Ga,backendName:"webgl",kernelFunc:Xot};function Yot(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape ${o.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape - ${s.shape}`);let i=e.readSync(n.dataId),a=e.readSync(o.dataId),u=e.readSync(s.dataId),[l,c]=Fw(i,n.shape,n.dtype,a,u,!0);return e.makeTensorInfo(c,n.dtype,l)}var uB={kernelName:Ol,backendName:"webgl",kernelFunc:Dot};function Rot(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape + ${s.shape}`);let i=e.readSync(n.dataId),a=e.readSync(o.dataId),u=e.readSync(s.dataId),[l,c]=zw(i,n.shape,n.dtype,a,u,!0);return e.makeTensorInfo(c,n.dtype,l)}var wB={kernelName:Ll,backendName:"webgl",kernelFunc:Yot};function Zot(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape ${o.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape - ${s.shape}`);let i=e.readSync(n.dataId),a=e.readSync(o.dataId),u=e.readSync(s.dataId),[l,c]=Fw(i,n.shape,n.dtype,a,u);return e.makeTensorInfo(c,n.dtype,l)}var cB={kernelName:Pl,backendName:"webgl",kernelFunc:Rot};function Fot(r){let{inputs:t,backend:e,attrs:n}=r,{sparseIndices:o,sparseValues:s,defaultValue:i}=t,{outputShape:a}=n,{sliceRank:u,numUpdates:l,sliceSize:c,strides:p,outputSize:m}=S.calculateShapes(s,o,a),f=!1;if(s.dtype==="string"){let x=e.bufferSync(o),b=e.bufferSync(s),w=y.decodeString(e.readSync(i.dataId)[0]),C=_L(x,b,a,m,c,l,u,p,w,f);return e.makeTensorInfo(a,C.dtype,C.values)}let d=new Td(l,u,o.shape.length,s.shape.length,p,[m,1],f),h=e.runWebGLProgram(d,[s,o,i],s.dtype),g=st({inputs:{x:h},backend:e,attrs:{shape:a}});return e.disposeIntermediateTensorInfo(h),g}var pB={kernelName:Pp,backendName:"webgl",kernelFunc:Fot};function Oot(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{numOrSizeSplits:s,axis:i}=n,a=y.parseAxisParam(i,o.shape)[0],u=S.prepareSplitSize(o,s,a),l=o.shape.length,c=new Array(l).fill(0),p=o.shape.slice();return u.map(m=>{let f=[...p];f[a]=m;let d=ti({inputs:{x:o},backend:e,attrs:{begin:c,size:f}});return c[a]+=m,d})}var mB={kernelName:gi,backendName:"webgl",kernelFunc:Oot};var fB="return sqrt(x);",Pot=Ct({opSnippet:fB,packedOpSnippet:fB,cpuKernelImpl:FL}),dB={kernelName:_s,backendName:"webgl",kernelFunc:Pot};var Lot="return x * x;",Mot=Ct({opSnippet:Lot}),hB={kernelName:Ll,backendName:"webgl",kernelFunc:Mot};var gB="return (a - b) * (a - b);",zot=le({opSnippet:gB,packedOpSnippet:gB}),xB={kernelName:Ds,backendName:"webgl",kernelFunc:zot};function Bot({inputs:r,attrs:t,backend:e}){let{x:n}=r,o=pr+` + ${s.shape}`);let i=e.readSync(n.dataId),a=e.readSync(o.dataId),u=e.readSync(s.dataId),[l,c]=zw(i,n.shape,n.dtype,a,u);return e.makeTensorInfo(c,n.dtype,l)}var CB={kernelName:Ml,backendName:"webgl",kernelFunc:Zot};function Jot(r){let{inputs:t,backend:e,attrs:n}=r,{sparseIndices:o,sparseValues:s,defaultValue:i}=t,{outputShape:a}=n,{sliceRank:u,numUpdates:l,sliceSize:c,strides:p,outputSize:m}=v.calculateShapes(s,o,a),f=!1;if(s.dtype==="string"){let x=e.bufferSync(o),b=e.bufferSync(s),w=y.decodeString(e.readSync(i.dataId)[0]),C=zL(x,b,a,m,c,l,u,p,w,f);return e.makeTensorInfo(a,C.dtype,C.values)}let d=new $d(l,u,o.shape.length,s.shape.length,p,[m,1],f),h=e.runWebGLProgram(d,[s,o,i],s.dtype),g=st({inputs:{x:h},backend:e,attrs:{shape:a}});return e.disposeIntermediateTensorInfo(h),g}var IB={kernelName:Lp,backendName:"webgl",kernelFunc:Jot};function Qot(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{numOrSizeSplits:s,axis:i}=n,a=y.parseAxisParam(i,o.shape)[0],u=v.prepareSplitSize(o,s,a),l=o.shape.length,c=new Array(l).fill(0),p=o.shape.slice();return u.map(m=>{let f=[...p];f[a]=m;let d=ri({inputs:{x:o},backend:e,attrs:{begin:c,size:f}});return c[a]+=m,d})}var SB={kernelName:yi,backendName:"webgl",kernelFunc:Qot};var vB="return sqrt(x);",tst=Ct({opSnippet:vB,packedOpSnippet:vB,cpuKernelImpl:UL}),NB={kernelName:As,backendName:"webgl",kernelFunc:tst};var est="return x * x;",rst=Ct({opSnippet:est}),TB={kernelName:zl,backendName:"webgl",kernelFunc:rst};var kB="return (a - b) * (a - b);",nst=le({opSnippet:kB,packedOpSnippet:kB}),EB={kernelName:Rs,backendName:"webgl",kernelFunc:nst};function ost({inputs:r,attrs:t,backend:e}){let{x:n}=r,o=fr+` return x > 0.0 ? 1.0 : float(${t.alpha}); - `,s=new tn(n.shape,o);return e.runWebGLProgram(s,[n],n.dtype)}var yB={kernelName:uo,backendName:"webgl",kernelFunc:Bot};var JC=class{constructor(t,e,n){this.variableNames=["x"],this.outputShape=n;let o=n.length,s=zt(n.length),i=zt(n.length),a="";if(o===1)a="coords * strides + begin";else{let u=0;a=n.map((l,c)=>(u++,n.length===1?`coords * strides[${c}] + begin[${c}]`:`coords[${u-1}] * strides[${c}] + begin[${c}]`)).join(",")}this.userCode=` + `,s=new tn(n.shape,o);return e.runWebGLProgram(s,[n],n.dtype)}var _B={kernelName:po,backendName:"webgl",kernelFunc:ost};var nI=class{constructor(t,e,n){this.variableNames=["x"],this.outputShape=n;let o=n.length,s=zt(n.length),i=zt(n.length),a="";if(o===1)a="coords * strides + begin";else{let u=0;a=n.map((l,c)=>(u++,n.length===1?`coords * strides[${c}] + begin[${c}]`:`coords[${u-1}] * strides[${c}] + begin[${c}]`)).join(",")}this.userCode=` ${s} begin = ${s}(${t}); ${s} strides = ${s}(${e}); @@ -4582,15 +4576,15 @@ return a / b;`,$nt=` ${i} coords = getOutputCoords(); setOutput(getX(${a})); } - `}};function Vot(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,end:i,strides:a,beginMask:u,endMask:l,ellipsisMask:c,newAxisMask:p,shrinkAxisMask:m}=n,{finalShapeSparse:f,finalShape:d,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:w,strides:C}=Pe.sliceInfo(o.shape,s,i,a,u,l,c,p,m),N;if(h)N=st({inputs:{x:o},backend:e,attrs:{shape:d}});else if(g||x){y.assert(o.shape.length>=1,()=>`Input must have rank at least 1, got: ${o.shape.length}`);let A=Pe.computeOutShape(b,w,C),$=ti({inputs:{x:o},backend:e,attrs:{begin:b,size:A}});N=st({inputs:{x:$},backend:e,attrs:{shape:d}}),e.disposeIntermediateTensorInfo($)}else if(e.shouldExecuteOnCPU([o])){let $=e.readSync(o.dataId),F=wt(o.shape,o.dtype,$),P=OL(f,F,C,b);N=e.makeTensorInfo(d,o.dtype,P.values)}else{let $=new JC(b,C,f);N=e.runWebGLProgram($,[o],o.dtype)}let _=st({inputs:{x:N},backend:e,attrs:{shape:d}});return e.disposeIntermediateTensorInfo(N),_}var bB={kernelName:Va,backendName:"webgl",kernelFunc:Vot};function Got(r){let{inputs:t,backend:e,attrs:n}=r,{separator:o,nGramWidths:s,leftPad:i,rightPad:a,padWidth:u,preserveShortSequences:l}=n,{data:c,dataSplits:p}=t,m=e.readSync(c.dataId),f=e.readSync(p.dataId),[d,h]=PL(m,f,o,s,i,a,u,l);return[e.makeTensorInfo([d.length],"string",d),e.makeTensorInfo(p.shape,"int32",h)]}var wB={kernelName:Ml,backendName:"webgl",kernelFunc:Got};function Wot(r){let{inputs:t,backend:e,attrs:n}=r,{skipEmpty:o}=n,{input:s,delimiter:i}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(i.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${i.shape}`);let a=e.readSync(s.dataId),u=e.readSync(i.dataId)[0],[l,c,p]=LL(a,u,o),m=c.length;return[e.makeTensorInfo([m,2],"int32",l),e.makeTensorInfo([m],"string",c),e.makeTensorInfo([2],"int32",new Int32Array(p))]}var CB={kernelName:zl,backendName:"webgl",kernelFunc:Wot};function Uot(r){let{inputs:t,backend:e,attrs:n}=r,{numBuckets:o}=n,{input:s}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(o<=0)throw new Error("Number of buckets must be at least 1");let i=e.readSync(s.dataId),a=ML(i,o);return e.makeTensorInfo(s.shape,"int32",a)}var IB={kernelName:Bl,backendName:"webgl",kernelFunc:Uot};var Hot="return tan(x);",qot=Ct({opSnippet:Hot}),vB={kernelName:Fs,backendName:"webgl",kernelFunc:qot};var Kot=` + `}};function sst(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,end:i,strides:a,beginMask:u,endMask:l,ellipsisMask:c,newAxisMask:p,shrinkAxisMask:m}=n,{finalShapeSparse:f,finalShape:d,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:w,strides:C}=Le.sliceInfo(o.shape,s,i,a,u,l,c,p,m),N;if(h)N=st({inputs:{x:o},backend:e,attrs:{shape:d}});else if(g||x){y.assert(o.shape.length>=1,()=>`Input must have rank at least 1, got: ${o.shape.length}`);let A=Le.computeOutShape(b,w,C),$=ri({inputs:{x:o},backend:e,attrs:{begin:b,size:A}});N=st({inputs:{x:$},backend:e,attrs:{shape:d}}),e.disposeIntermediateTensorInfo($)}else if(e.shouldExecuteOnCPU([o])){let $=e.readSync(o.dataId),F=wt(o.shape,o.dtype,$),P=HL(f,F,C,b);N=e.makeTensorInfo(d,o.dtype,P.values)}else{let $=new nI(b,C,f);N=e.runWebGLProgram($,[o],o.dtype)}let _=st({inputs:{x:N},backend:e,attrs:{shape:d}});return e.disposeIntermediateTensorInfo(N),_}var AB={kernelName:Wa,backendName:"webgl",kernelFunc:sst};function ist(r){let{inputs:t,backend:e,attrs:n}=r,{separator:o,nGramWidths:s,leftPad:i,rightPad:a,padWidth:u,preserveShortSequences:l}=n,{data:c,dataSplits:p}=t,m=e.readSync(c.dataId),f=e.readSync(p.dataId),[d,h]=qL(m,f,o,s,i,a,u,l);return[e.makeTensorInfo([d.length],"string",d),e.makeTensorInfo(p.shape,"int32",h)]}var $B={kernelName:Bl,backendName:"webgl",kernelFunc:ist};function ast(r){let{inputs:t,backend:e,attrs:n}=r,{skipEmpty:o}=n,{input:s,delimiter:i}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(i.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${i.shape}`);let a=e.readSync(s.dataId),u=e.readSync(i.dataId)[0],[l,c,p]=KL(a,u,o),m=c.length;return[e.makeTensorInfo([m,2],"int32",l),e.makeTensorInfo([m],"string",c),e.makeTensorInfo([2],"int32",new Int32Array(p))]}var DB={kernelName:Vl,backendName:"webgl",kernelFunc:ast};function lst(r){let{inputs:t,backend:e,attrs:n}=r,{numBuckets:o}=n,{input:s}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(o<=0)throw new Error("Number of buckets must be at least 1");let i=e.readSync(s.dataId),a=jL(i,o);return e.makeTensorInfo(s.shape,"int32",a)}var RB={kernelName:Gl,backendName:"webgl",kernelFunc:lst};var ust="return tan(x);",cst=Ct({opSnippet:ust}),FB={kernelName:Os,backendName:"webgl",kernelFunc:cst};var pst=` float e2x = exp(-2.0 * abs(x)); return sign(x) * (1.0 - e2x) / (1.0 + e2x); -`,jot=Ct({opSnippet:Kot}),SB={kernelName:Os,backendName:"webgl",kernelFunc:jot};var QC=class{constructor(t,e){this.variableNames=["A"];let n=new Array(t.length);for(let i=0;i5)throw Error(`Tile for rank ${t} is not yet supported`);if(t===1)return`imod(resRC, ${r[0]})`;let e=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],n=[];for(let o=0;o5){let u=e.readSync(o.dataId),l=o.dtype==="string"?u.map(m=>y.decodeString(m)):u,c=wt(o.shape,o.dtype,l),p=BL(c,s);return e.makeTensorInfo(p.shape,p.dtype,p.values)}let i=new QC(o.shape,s);return e.runWebGLProgram(i,[o],o.dtype)}var NB={kernelName:Zn,backendName:"webgl",kernelFunc:vT};var tI=class{constructor(t){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"negativeInf",type:"float"},{name:"dir",type:"int"},{name:"inc",type:"int"}],this.outputShape=t,this.userCode=` + `}};function fst(r){let t=r.length;if(t>5)throw Error(`Tile for rank ${t} is not yet supported`);if(t===1)return`imod(resRC, ${r[0]})`;let e=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],n=[];for(let o=0;o5){let u=e.readSync(o.dataId),l=o.dtype==="string"?u.map(m=>y.decodeString(m)):u,c=wt(o.shape,o.dtype,l),p=YL(c,s);return e.makeTensorInfo(p.shape,p.dtype,p.values)}let i=new oI(o.shape,s);return e.runWebGLProgram(i,[o],o.dtype)}var PB={kernelName:Jn,backendName:"webgl",kernelFunc:Ek};var sI=class{constructor(t){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"negativeInf",type:"float"},{name:"dir",type:"int"},{name:"inc",type:"int"}],this.outputShape=t,this.userCode=` void main() { ivec2 coords = getOutputCoords(); int batch = coords[0]; @@ -4630,7 +4624,7 @@ return a / b;`,$nt=` setOutput(float(i1)); } } - `}},eI=class{constructor(t){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"k",type:"int"}],this.outputShape=t,this.userCode=` + `}},iI=class{constructor(t){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"k",type:"int"}],this.outputShape=t,this.userCode=` void main() { // Takes max of indices (0, k), (1, k + 1), (2, k + 2) ... ivec2 coords = getOutputCoords(); @@ -4664,7 +4658,7 @@ return a / b;`,$nt=` setOutput(x0 >= x1 ? float(i0) : float(i1)); } - `}};function Kc(r,t){t!==null&&r.disposeIntermediateTensorInfo(t)}function kB(r){let t=1;for(;tu){let P=e.readSync(o.dataId),[V,G]=VL(P,l,o.dtype,s,i);return[e.makeTensorInfo(V.shape,V.dtype,V.values),e.makeTensorInfo(G.shape,G.dtype,G.values)]}if(s===0)return l[l.length-1]=0,[e.makeTensorInfo(l,o.dtype,[]),e.makeTensorInfo(l,"int32",[])];if(c===1)return[o,bl({attrs:{shape:l,dtype:"int32",value:0},backend:e})];let p=e.texData.get(o.dataId),m=p!==null&&p.isPacked,f=m?e.unpackTensor(o):o,h=y.sizeFromShape(l)/c,g=st({inputs:{x:f},attrs:{shape:[h,c]},backend:e});m&&Kc(e,f);let x=kB(s),b=kB(c),w=null,C=()=>w===null?[g,g]:[g,w],N=(P,V,G)=>{let W=C(),q=new tI(G),j=[[c],[w===null?1:0],[Number.NEGATIVE_INFINITY],[P],[V]],Y=w;w=e.runWebGLProgram(q,W,"int32",j),Kc(e,Y)};for(let P=1;P=1;G/=2)N(V,G,[h,b])}for(let P=b;P>x;P/=2){let V=C(),G=new eI([h,P/2]),q=[[c],[w===null?1:0],[x]],H=w;w=e.runWebGLProgram(G,V,"int32",q),Kc(e,H);let j=x/2,Y=j*2;for(let Z=j;Z>=1;Z/=2)N(Y,Z,w.shape)}let _=w;w=ti({inputs:{x:w},backend:e,attrs:{begin:0,size:[h,s]}}),Kc(e,_);let A=gT({inputs:{x:g,indices:w},backend:e,attrs:{axis:1,batchDims:1}});Kc(e,g);let $=l.slice(0,-1);$.push(s),_=w,w=st({inputs:{x:w},attrs:{shape:$},backend:e}),Kc(e,_);let F=A;return A=st({inputs:{x:A},attrs:{shape:$},backend:e}),Kc(e,F),[A,w]}var TB={kernelName:Ga,backendName:"webgl",kernelFunc:Yot};var rI=class{constructor(t,e,n,o,s,i){this.variableNames=["Image","Transforms"],this.outputShape=i;let a=n==="nearest"?1:2,u;switch(o){case"constant":u=1;break;case"reflect":u=2;break;case"wrap":u=3;break;case"nearest":u=4;break;default:u=1;break}this.userCode=` + `}};function Kc(r,t){t!==null&&r.disposeIntermediateTensorInfo(t)}function LB(r){let t=1;for(;tu){let P=e.readSync(o.dataId),[V,G]=ZL(P,l,o.dtype,s,i);return[e.makeTensorInfo(V.shape,V.dtype,V.values),e.makeTensorInfo(G.shape,G.dtype,G.values)]}if(s===0)return l[l.length-1]=0,[e.makeTensorInfo(l,o.dtype,[]),e.makeTensorInfo(l,"int32",[])];if(c===1)return[o,Cl({attrs:{shape:l,dtype:"int32",value:0},backend:e})];let p=e.texData.get(o.dataId),m=p!==null&&p.isPacked,f=m?e.unpackTensor(o):o,h=y.sizeFromShape(l)/c,g=st({inputs:{x:f},attrs:{shape:[h,c]},backend:e});m&&Kc(e,f);let x=LB(s),b=LB(c),w=null,C=()=>w===null?[g,g]:[g,w],N=(P,V,G)=>{let W=C(),q=new sI(G),j=[[c],[w===null?1:0],[Number.NEGATIVE_INFINITY],[P],[V]],Y=w;w=e.runWebGLProgram(q,W,"int32",j),Kc(e,Y)};for(let P=1;P=1;G/=2)N(V,G,[h,b])}for(let P=b;P>x;P/=2){let V=C(),G=new iI([h,P/2]),q=[[c],[w===null?1:0],[x]],H=w;w=e.runWebGLProgram(G,V,"int32",q),Kc(e,H);let j=x/2,Y=j*2;for(let Z=j;Z>=1;Z/=2)N(Y,Z,w.shape)}let _=w;w=ri({inputs:{x:w},backend:e,attrs:{begin:0,size:[h,s]}}),Kc(e,_);let A=Ck({inputs:{x:g,indices:w},backend:e,attrs:{axis:1,batchDims:1}});Kc(e,g);let $=l.slice(0,-1);$.push(s),_=w,w=st({inputs:{x:w},attrs:{shape:$},backend:e}),Kc(e,_);let F=A;return A=st({inputs:{x:A},attrs:{shape:$},backend:e}),Kc(e,F),[A,w]}var MB={kernelName:Ua,backendName:"webgl",kernelFunc:dst};var aI=class{constructor(t,e,n,o,s,i){this.variableNames=["Image","Transforms"],this.outputShape=i;let a=n==="nearest"?1:2,u;switch(o){case"constant":u=1;break;case"reflect":u=2;break;case"wrap":u=3;break;case"nearest":u=4;break;default:u=1;break}this.userCode=` float mapCoord(float outCoord, float len) { float inCoord = outCoord; if(${u} == 2) { @@ -4776,7 +4770,7 @@ return a / b;`,$nt=` } setOutput(outputValue); } - `}};function Zot(r){let{inputs:t,backend:e,attrs:n}=r,{image:o,transforms:s}=t,{interpolation:i,fillMode:a,fillValue:u,outputShape:l}=n,[c,p,m,f]=o.shape,[d,h]=l!=null?l:[p,m],g=[c,d,h,f],x=new rI(p,m,i,a,u,g);return e.runWebGLProgram(x,[o,s],"float32")}var EB={kernelName:Wa,backendName:"webgl",kernelFunc:Zot};function Jot(r){let{inputs:t,attrs:e,backend:n}=r,{axis:o}=e,{x:s}=t;Zs(s,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");let i=n.readSync(s.dataId),{outputValues:a,outputShape:u,indices:l}=GL(i,o,s.shape,s.dtype);return[n.makeTensorInfo(u,s.dtype,a),n.makeTensorInfo([l.length],"int32",l)]}var _B={kernelName:Lp,backendName:"webgl",kernelFunc:Jot};function Qot(r){let{inputs:t,backend:e,attrs:n}=r,{value:o}=t,{axis:s}=n;s<0&&(s+=o.shape.length);let i=o,a=i.shape.length,u=o.shape[s],l=new Array(a-1),c=0;for(let h=0;he.disposeIntermediateTensorInfo(h)),d}var AB={kernelName:xi,backendName:"webgl",kernelFunc:Qot};var nI=class{constructor(t,e){this.variableNames=["x","segmentIds"];let n=t.windowSize,o=t.batchSize,s=t.inSize,i=t.numSegments,a=i*Math.ceil(s/n);this.outputShape=[o,a];let u="0.0",l="sumValue",c=Math.floor(n/4)*4,p=n%4,m=` + `}};function hst(r){let{inputs:t,backend:e,attrs:n}=r,{image:o,transforms:s}=t,{interpolation:i,fillMode:a,fillValue:u,outputShape:l}=n,[c,p,m,f]=o.shape,[d,h]=l!=null?l:[p,m],g=[c,d,h,f],x=new aI(p,m,i,a,u,g);return e.runWebGLProgram(x,[o,s],"float32")}var zB={kernelName:Ha,backendName:"webgl",kernelFunc:hst};function gst(r){let{inputs:t,attrs:e,backend:n}=r,{axis:o}=e,{x:s}=t;Qs(s,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");let i=n.readSync(s.dataId),{outputValues:a,outputShape:u,indices:l}=JL(i,o,s.shape,s.dtype);return[n.makeTensorInfo(u,s.dtype,a),n.makeTensorInfo([l.length],"int32",l)]}var BB={kernelName:Mp,backendName:"webgl",kernelFunc:gst};function xst(r){let{inputs:t,backend:e,attrs:n}=r,{value:o}=t,{axis:s}=n;s<0&&(s+=o.shape.length);let i=o,a=i.shape.length,u=o.shape[s],l=new Array(a-1),c=0;for(let h=0;he.disposeIntermediateTensorInfo(h)),d}var VB={kernelName:bi,backendName:"webgl",kernelFunc:xst};var lI=class{constructor(t,e){this.variableNames=["x","segmentIds"];let n=t.windowSize,o=t.batchSize,s=t.inSize,i=t.numSegments,a=i*Math.ceil(s/n);this.outputShape=[o,a];let u="0.0",l="sumValue",c=Math.floor(n/4)*4,p=n%4,m=` sumValue += dot(values, segFilter); `,f="";s%n>0&&(f=` if (inIdx < 0 || inIdx >= ${s}) { @@ -4882,6 +4876,6 @@ return a / b;`,$nt=` } setOutput(${l}); } - `}};function tst(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,segmentIds:s}=t,{numSegments:i}=n,a=o.shape.length,u=[],l=0,c=S.getAxesPermutation([l],a),p=o;c!=null&&(p=Fe({inputs:{x:o},backend:e,attrs:{perm:c}}),u.push(p),l=S.getInnerMostAxes(1,a)[0]);let m=S.segment_util.computeOutShape(p.shape,l,i),f=y.sizeFromShape([p.shape[l]]),d=st({inputs:{x:p},backend:e,attrs:{shape:[-1,f]}});u.push(d);let h=Gu(o.dtype),g=(C,N,_,A,$)=>{let F=C.shape[0],P=C.shape[1],V=S.segment_util.segOpComputeOptimalWindowSize(P,$),G={windowSize:V,inSize:P,batchSize:F,numSegments:$},W=new nI(G,N),q=e.compileAndRun(W,[C,_],A);if(u.push(q),q.shape[1]===$)return q;let H=IT({backend:e,attrs:{start:0,stop:$,step:1,dtype:"float32"}}),j=vT({inputs:{x:H},backend:e,attrs:{reps:[P/V]}});return u.push(H),u.push(j),g(q,N,j,A,$)},x=g(d,"unsortedSegmentSum",s,h,i),b=st({inputs:{x},backend:e,attrs:{shape:m}}),w=b;if(c!=null){u.push(b);let C=S.getUndoAxesPermutation(c);w=Fe({inputs:{x:w},backend:e,attrs:{perm:C}})}return u.forEach(C=>e.disposeIntermediateTensorInfo(C)),w}var $B={kernelName:Vl,backendName:"webgl",kernelFunc:tst};var est=[xM,bM,wM,CM,vM,SM,NM,kM,_M,AM,$M,DM,RM,FM,OM,PM,LM,MM,zM,BM,VM,WM,UM,HM,XM,ZM,JM,aM,tz,rz,nz,oz,sz,iz,az,lz,uz,cz,pz,dz,hz,gz,xz,yz,bz,wz,Cz,Iz,vz,Sz,Nz,kz,Tz,Ez,_z,$z,Dz,Rz,Fz,Pz,Lz,Mz,zz,Bz,Vz,Gz,Wz,Uz,iM,Hz,ez,qz,Kz,jz,lM,Xz,Yz,Zz,Jz,Qz,t3,e3,r3,n3,o3,i3,a3,l3,u3,c3,p3,f3,h3,g3,x3,y3,b3,S3,pM,N3,k3,T3,E3,qM,_3,D3,R3,F3,O3,uM,P3,L3,M3,z3,KM,w3,B3,V3,G3,fM,W3,U3,H3,q3,K3,j3,X3,Y3,Z3,J3,Q3,tB,eB,rB,nB,oB,GM,v3,sB,iB,aB,lB,uB,cB,pB,mB,dB,hB,xB,yB,bB,wB,CB,IB,I3,hM,vB,SB,NB,TB,EB,gM,_B,AB,$B,A3];for(let r of est)Pu(r);var Ht;(function(r){r[r.float32=0]="float32",r[r.int32=1]="int32",r[r.bool=2]="bool",r[r.string=3]="string",r[r.complex64=4]="complex64"})(Ht||(Ht={}));var $u;(function(r){r[r.linear=0]="linear",r[r.relu=1]="relu",r[r.relu6=2]="relu6",r[r.prelu=3]="prelu",r[r.leakyrelu=4]="leakyrelu",r[r.sigmoid=5]="sigmoid",r[r.elu=6]="elu"})($u||($u={}));var DB;function rst(r){DB=r.wasm.cwrap(bi,null,["number","array","number","number","array","number","number","number","number","number","number","number","number"])}function nst(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s,bias:i,preluActivationWeights:a}=t;if(o.dtype!=="float32"||s.dtype!=="float32")throw new Error("_FusedMatMul for non non-float32 tensors not yet supported.");let{transposeA:u,transposeB:l,activation:c,leakyreluAlpha:p}=n,m=e.dataIdMap.get(o.dataId).id,f=e.dataIdMap.get(s.dataId).id,d=0;if(i!=null){let $=e.dataIdMap.get(i.dataId);if($.shape.length!==1)throw new Error(`_FusedMatMul only supports rank-1 bias but got rank ${$.shape.length}.`);d=$.id}let h=a==null?0:e.dataIdMap.get(a.dataId).id,g=$u[c];if(g==null)throw new Error(`${c} activation not yet supported for FusedConv2D in the wasm backend.`);let x=u?o.shape[2]:o.shape[1],b=l?s.shape[1]:s.shape[2],w=zr.assertAndGetBroadcastShape(o.shape.slice(0,-2),s.shape.slice(0,-2)),C=e.makeOutput([...w,x,b],o.dtype),N=e.dataIdMap.get(C.dataId).id,_=new Uint8Array(new Int32Array(o.shape).buffer),A=new Uint8Array(new Int32Array(s.shape).buffer);return DB(m,_,o.shape.length,f,A,s.shape.length,u,l,g,d,h,p||0,N),C}var RB={kernelName:bi,backendName:"wasm",setupFunc:rst,kernelFunc:nst};function se(r,t){let e;function n(s){e=s.wasm.cwrap(r,null,["number","number","number"])}function o(s){let{backend:i,inputs:{x:a}}=s,u=i.dataIdMap.get(a.dataId).id,l=i.makeOutput(a.shape,t||a.dtype),c=i.dataIdMap.get(l.dataId).id;return y.sizeFromShape(l.shape)===0||e(u,Ht[a.dtype],c),l}return{kernelName:r,backendName:"wasm",setupFunc:n,kernelFunc:o}}var FB=se(oi);function ue(r,t,e){let n;function o(i){n=i.wasm.cwrap(r,null,["number","array","number","number","array","number","number","number"])}function s(i){let{backend:a,inputs:u}=i,{a:l,b:c}=u,p=a.dataIdMap.get(l.dataId).id,m=a.dataIdMap.get(c.dataId).id,f=e!=null?e:l.dtype,d=S.assertAndGetBroadcastShape(l.shape,c.shape),h=a.makeOutput(d,f);if(y.sizeFromShape(d)===0)return h;let g=new Uint8Array(new Int32Array(l.shape).buffer),x=new Uint8Array(new Int32Array(c.shape).buffer),b=a.dataIdMap.get(h.dataId).id;return(()=>n(p,g,l.shape.length,m,x,c.shape.length,Ht[l.dtype],b))(),h}return{kernelName:r,backendName:"wasm",setupFunc:o,kernelFunc:s}}var ost=!0,OB=ue(Yn,ost);var PB;function sst(r){PB=r.wasm.cwrap(Vo,null,["array","number","number","number"])}function ist(r){let{inputs:t,backend:e}=r,n=e.makeOutput(t[0].shape,t[0].dtype);if(y.sizeFromShape(n.shape)===0)return n;let o=t.map(a=>e.dataIdMap.get(a.dataId).id),s=new Uint8Array(new Int32Array(o).buffer),i=e.dataIdMap.get(n.dataId).id;return PB(s,o.length,Ht[n.dtype],i),n}var LB={kernelName:Vo,backendName:"wasm",setupFunc:sst,kernelFunc:ist};function jc(r){let{inputs:{x:t},backend:e}=r,n=e.makeOutput(t.shape,t.dtype),o=e.typedArrayFromHeap(t);return e.typedArrayFromHeap(n).set(o),n}var MB={kernelName:lo,backendName:"wasm",kernelFunc:jc};var zB;function ast(r){zB=r.wasm.cwrap(Jn,null,["number","array","number","number","number","array","number"])}function so(r){let{inputs:t,backend:e,attrs:n}=r,[o,s]=ust(t.x.shape,n.perm),i=!0;for(let d=0;d=o&&(s===-1||n[s]>n[i])&&(s=i);n[s]=o}return[e,n]}var BB={kernelName:Jn,backendName:"wasm",kernelFunc:so,setupFunc:ast};function yn(r,t,e){let n=r.shape,o=r.shape.length,s=y.parseAxisParam(t,n),i=s,a=S.getAxesPermutation(i,o),u=null,l=!1;if(a!=null){let c=new Array(o);for(let f=0;f`new shape: ${i}, old shape: ${n.shape}. New shape and old shape must have the same number of elements.`),r.backend.incRef(n.dataId),{dataId:n.dataId,shape:i,dtype:n.dtype}}var XB={kernelName:mi,backendName:"wasm",kernelFunc:ir};var YB;function yst(r){YB=r.wasm.cwrap(Uo,null,["number","array","number","number","array","number","number","number","number"])}function bst(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s}=t,{transposeA:i,transposeB:a}=n;if(o.dtype!=="float32"||s.dtype!=="float32")throw new Error("BatchMatMul for non non-float32 tensors not yet supported.");let u=o.shape.length,l=s.shape.length,c=i?o.shape[u-2]:o.shape[u-1],p=a?s.shape[l-1]:s.shape[l-2],m=i?o.shape[u-1]:o.shape[u-2],f=a?s.shape[l-2]:s.shape[l-1],d=o.shape.slice(0,-2),h=s.shape.slice(0,-2),g=y.sizeFromShape(d),x=y.sizeFromShape(h),w=zr.assertAndGetBroadcastShape(o.shape.slice(0,-2),s.shape.slice(0,-2)).concat([m,f]);y.assert(c===p,()=>`Error in matMul: inner shapes (${c}) and (${p}) of Tensors with shapes ${o.shape} and ${s.shape} and transposeA=${i} and transposeB=${a} must match.`);let C=i?[g,c,m]:[g,m,c],N=a?[x,f,p]:[x,p,f],_=ir({inputs:{x:o},backend:e,attrs:{shape:C}}),A=ir({inputs:{x:s},backend:e,attrs:{shape:N}}),$=e.dataIdMap.get(_.dataId).id,F=e.dataIdMap.get(A.dataId).id,P=i?_.shape[2]:_.shape[1],V=a?A.shape[1]:A.shape[2],G=Math.max(g,x),W=e.makeOutput([G,P,V],_.dtype),q=e.dataIdMap.get(W.dataId).id,H=new Uint8Array(new Int32Array(_.shape).buffer),j=new Uint8Array(new Int32Array(A.shape).buffer);return YB($,H,_.shape.length,F,j,A.shape.length,i,a,q),e.disposeData(_.dataId),e.disposeData(A.dataId),W.shape=w,W}var ZB={kernelName:Uo,backendName:"wasm",setupFunc:yst,kernelFunc:bst};function Po(r){let{inputs:{x:t},attrs:{begin:e,size:n},backend:o}=r,[s,i]=Pe.parseSliceParams(t,e,n),a=Pe.isSliceContinous(t.shape,s,i),u=o.readSync(t.dataId),l=o.makeOutput(i,t.dtype),c=y.computeStrides(t.shape),p=o.dataIdMap.get(l.dataId);if(a){let d=Pe.computeFlatOffset(s,c);return t.dtype==="string"?p.stringBytes=u.slice(d,d+y.sizeFromShape(i)):o.typedArrayFromHeap(l).set(u.subarray(d,d+y.sizeFromShape(i))),l}if(t.dtype==="string"){let d=$c(u,s,i,t.shape,t.dtype);return p.stringBytes=d,l}let m=o.typedArrayFromHeap(l),f=t.shape.length;if(f===2)wst(u,c[0],m,s,i);else if(f===3)Cst(u,c[0],c[1],m,s,i);else if(f===4)Ist(u,c[0],c[1],c[2],m,s,i);else{let d=$c(u,s,i,t.shape,t.dtype);m.set(d)}return l}function wst(r,t,e,n,o){let s=0,i=n[0],a=n[1],u=i+o[0];for(let l=i;lx*b),u=S.getReshaped(o.shape,s,a),l=S.getPermuted(u.length,s.length),c=S.getReshapedPermuted(o.shape,s,a),p=S.getSliceBeginCoords(i,s.length),m=S.getSliceSize(c,i,s.length),f=ir({inputs:{x:o},backend:e,attrs:{shape:u}}),d=so({inputs:{x:f},backend:e,attrs:{perm:l}}),h=ir({inputs:{x:d},backend:e,attrs:{shape:c}}),g=Po({inputs:{x:h},backend:e,attrs:{begin:p,size:m}});return e.disposeData(f.dataId),e.disposeData(d.dataId),e.disposeData(f.dataId),g}var QB={kernelName:si,backendName:"wasm",kernelFunc:vst};function ei(r){let{inputs:{x:t},attrs:{dtype:e},backend:n}=r,o=n.makeOutput(t.shape,e),s=n.typedArrayFromHeap(t);return n.typedArrayFromHeap(o).set(s),o}var tV={kernelName:io,backendName:"wasm",kernelFunc:ei};var eV=se(Ho);var rV;function Sst(r){rV=r.wasm.cwrap(ao,null,["number","number","number","number"])}function Nst(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{clipValueMin:s,clipValueMax:i}=n,a=e.dataIdMap.get(o.dataId).id,u=e.makeOutput(o.shape,o.dtype),l=e.dataIdMap.get(u.dataId).id;return rV(a,s,i,l),u}var nV={kernelName:ao,backendName:"wasm",setupFunc:Sst,kernelFunc:Nst};function ST(r){let{inputs:t,backend:e}=r,n=y.parseAxisParam(r.attrs.axis,t[0].shape)[0],o=t.map(f=>f.shape);S.assertParamsConsistent(o,n);let s=S.computeOutShape(t.map(f=>f.shape),n),i=t.filter(f=>y.sizeFromShape(f.shape)>0);if(i.length===1)return jc({inputs:{x:i[0]},backend:e});let a=e.makeOutput(s,t[0].dtype);if(y.sizeFromShape(s)===0)return a;if(i[0].dtype==="string"){let f=i.map(w=>{let C=y.sizeFromShape(w.shape.slice(n));return ir({inputs:{x:w},backend:e,attrs:{shape:[-1,C]}})}),d=f.map(w=>({vals:e.readSync(w.dataId),shape:w.shape}));s=S.computeOutShape(f.map(w=>w.shape),1);let h=f[0].shape[0]===1,g=Ec(d,s,t[0].dtype,h),x=S.computeOutShape(i.map(w=>w.shape),n);a.shape=x;let b=e.dataIdMap.get(a.dataId);return b.stringBytes=S.fromStringArrayToUint8(g),f.forEach(w=>e.disposeData(w.dataId)),a}let u=y.sizeFromShape(i[0].shape.slice(0,n)),l=0,c=i.map(f=>{let d=y.sizeFromShape(f.shape.slice(n));return l+=d,d}),p=i.map(f=>e.typedArrayFromHeap(f)),m=e.typedArrayFromHeap(a);for(let f=0;f`cumprod does not support ${o.dtype} tensors in the WASM backend`);let l=S.getAxesPermutation([s],u),c=o;l!==null&&(c=so({inputs:{x:o},attrs:{perm:l},backend:e}));let p=S.getInnerMostAxes(1,u)[0];S.assertAxesAreInnerMostDims("cumprod",[p],u);let m=e.makeOutput(c.shape,c.dtype),f=c.shape[p],d=e.dataIdMap.get(c.dataId).id,h=e.dataIdMap.get(m.dataId).id;fV(d,i?1:0,a?1:0,f,h,Ht[o.dtype]);let g=m;if(l!==null){let x=S.getUndoAxesPermutation(l);g=so({inputs:{x:m},attrs:{perm:x},backend:e}),e.disposeData(c.dataId),e.disposeData(m.dataId)}return g}var dV={kernelName:pa,backendName:"wasm",setupFunc:Dst,kernelFunc:Rst};var hV;function Fst(r){hV=r.wasm.cwrap(Yo,null,["number","number","number","number","number","number"])}function Ost(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,exclusive:i,reverse:a}=n,u=o.shape.length;y.assert(o.dtype==="float32"||o.dtype==="int32",()=>`cumsum does not support ${o.dtype} tensors in the WASM backend`);let l=S.getAxesPermutation([s],u),c=o;l!==null&&(c=so({inputs:{x:o},attrs:{perm:l},backend:e}));let p=S.getInnerMostAxes(1,u)[0];S.assertAxesAreInnerMostDims("cumsum",[p],u);let m=e.makeOutput(c.shape,c.dtype),f=c.shape[p],d=e.dataIdMap.get(c.dataId).id,h=e.dataIdMap.get(m.dataId).id;hV(d,i?1:0,a?1:0,f,h,Ht[o.dtype]);let g=m;if(l!==null){let x=S.getUndoAxesPermutation(l);g=so({inputs:{x:m},attrs:{perm:x},backend:e}),e.disposeData(c.dataId),e.disposeData(m.dataId)}return g}var gV={kernelName:Yo,backendName:"wasm",setupFunc:Fst,kernelFunc:Ost};var xV;function Pst(r){xV=r.wasm.cwrap(fa,null,["number","number","number","array","number","array","array","number","number"])}function Lst(r){let{backend:t,inputs:e,attrs:n}=r,{x:o}=e,{blockSize:s,dataFormat:i}=n,a=o.shape[0],u=i==="NHWC"?o.shape[1]:o.shape[2],l=i==="NHWC"?o.shape[2]:o.shape[3],c=i==="NHWC"?o.shape[3]:o.shape[1],p=u*s,m=l*s,f=c/(s*s),d=i==="NHWC"?[a,p,m,f]:[a,f,p,m],h=t.makeOutput(d,"float32"),x=t.dataIdMap.get(o.dataId).id,b=new Uint8Array(new Int32Array(y.computeStrides(o.shape)).buffer),w=new Uint8Array(new Int32Array(d).buffer),C=new Uint8Array(new Int32Array(y.computeStrides(d)).buffer),N=t.dataIdMap.get(h.dataId).id;return xV(x,s,i==="NHWC"?1:0,b,o.shape.length-1,w,C,d.length,N),h}var yV={kernelName:fa,backendName:"wasm",setupFunc:Pst,kernelFunc:Lst};var bV;function Mst(r){bV=r.wasm.cwrap(Zo,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function zst(r){let{inputs:t,attrs:e,backend:n}=r,{x:o,filter:s}=t,i=n.dataIdMap.get(o.dataId).id,a=n.dataIdMap.get(s.dataId).id,{strides:u,dilations:l,pad:c,dimRoundingMode:p}=e,m=l==null?[1,1]:l,f=S.computeConv2DInfo(o.shape,s.shape,u,m,c,p,!0),d=f.filterHeight,h=f.filterWidth,g=f.padInfo.top,x=f.padInfo.right,b=f.padInfo.bottom,w=f.padInfo.left,C=f.dilationHeight,N=f.dilationWidth,_=f.strideHeight,A=f.strideWidth,$=f.inChannels,F=f.outChannels,P=f.padInfo.type==="SAME"?1:0;if(f.dataFormat!=="channelsLast")throw new Error(`wasm backend DepthwiseConv2dNative does not support dataFormat:'${f.dataFormat}'. Please use 'channelsLast'.`);let V=n.makeOutput(f.outShape,"float32"),G=n.dataIdMap.get(V.dataId).id;return bV(i,o.shape[0],o.shape[1],o.shape[2],a,d,h,g,x,b,w,P,C,N,_,A,$,F,G),V}var wV={kernelName:Zo,backendName:"wasm",setupFunc:Mst,kernelFunc:zst};var CV=se(Qo);var Bst=!1,IV=ue(ha,Bst,"bool");var vV=se(ts,"float32");function oI(r){let{inputs:t,attrs:e,backend:n}=r,{input:o}=t,{dim:s}=e,i=o.shape.length,a=o.shape.slice(),u=s;return s<0&&(y.assert(-(i+1)<=s,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),u=i+s+1),a.splice(u,0,1),ir({inputs:{x:o},backend:n,attrs:{shape:a}})}var SV={kernelName:ai,backendName:"wasm",kernelFunc:oI};function kT(r){let{attrs:{shape:t,value:e,dtype:n},backend:o}=r,s=o.makeOutput(t,n);return o.typedArrayFromHeap(s).fill(e),s}var NV={kernelName:Al,backendName:"wasm",kernelFunc:kT};var kV;function Vst(r){kV=r.wasm.cwrap(xa,null,["number","number","number","number","number","number"])}function Gst(r){let{inputs:t,backend:e}=r,{image:n}=t,o=e.makeOutput(n.shape,n.dtype),s=e.dataIdMap.get(n.dataId).id,i=e.dataIdMap.get(o.dataId).id,[a,u,l,c]=n.shape;return kV(s,a,u,l,c,i),o}var TV={kernelName:xa,backendName:"wasm",kernelFunc:Gst,setupFunc:Vst};var EV=se(es);var Wst=!1,_V=ue(rs,Wst);var AV;function Ust(r){AV=r.wasm.cwrap(ns,null,["number","number","number","number","number","number","number"])}function Hst(r){let{backend:t,inputs:e,attrs:n}=r,{varianceEpsilon:o}=n,{x:s,mean:i,variance:a,offset:u,scale:l}=e,c=t.dataIdMap.get(s.dataId).id,p=t.dataIdMap.get(i.dataId).id,m=t.dataIdMap.get(a.dataId).id,f=u!=null?t.dataIdMap.get(u.dataId).id:0,d=l!=null?t.dataIdMap.get(l.dataId).id:0,h=t.makeOutput(s.shape,s.dtype);if(y.sizeFromShape(s.shape)===0)return h;let g=t.dataIdMap.get(h.dataId).id;return AV(c,p,m,f,d,o,g),h}var $V={kernelName:ns,backendName:"wasm",setupFunc:Ust,kernelFunc:Hst};var DV;function qst(r){DV=r.wasm.cwrap(wi,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function Kst(r){let{inputs:t,attrs:e,backend:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dilations:c,dataFormat:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=e,h=S.computeConv2DInfo(o.shape,s.shape,u,c,l,m),g=$u[f];if(g==null)throw new Error(`${f} activation not yet supported for FusedConv2D in the wasm backend.`);let x=n.dataIdMap.get(o.dataId).id,b=n.dataIdMap.get(s.dataId).id,w=h.outChannels,C=0;if(i!=null){let nt=n.dataIdMap.get(i.dataId);if(nt.shape.length!==1)throw new Error(`FusedConv2D only supports rank-1 bias but got rank ${nt.shape.length}.`);if(nt.shape[0]!==w)throw new Error(`FusedConv2D bias shape (${nt.shape}) does not match the number of output channels (${w})`);C=nt.id}let N=h.filterHeight,_=h.filterWidth,A=h.padInfo.top,$=h.padInfo.right,F=h.padInfo.bottom,P=h.padInfo.left,V=h.dilationHeight,G=h.dilationWidth,W=h.strideHeight,q=h.strideWidth,H=h.inChannels,j=h.padInfo.type==="SAME"?1:0,Y=h.batchSize,Z=h.inHeight,et=h.inWidth;if(p!=="NHWC")throw new Error(`wasm backend FusedConv2D does not support dataFormat:'${p}'. Please use 'NHWC'.`);let rt=n.makeOutput(h.outShape,"float32"),ot=n.dataIdMap.get(rt.dataId).id,at=a==null?0:n.dataIdMap.get(a.dataId).id;return DV(x,Y,Z,et,b,N,_,C,A,$,F,P,j,V,G,W,q,H,w,g,at,d||0,ot),rt}var RV={kernelName:wi,backendName:"wasm",setupFunc:qst,kernelFunc:Kst};var FV;function jst(r){FV=r.wasm.cwrap(Ci,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function Xst(r){let{inputs:t,attrs:e,backend:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dilations:c,dataFormat:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=e,h=S.computeConv2DInfo(o.shape,s.shape,u,c,l,m,!0),g=$u[f];if(g==null)throw new Error(`${f} activation not yet supported for FusedDepthwiseConv2D in the wasm backend.`);let x=n.dataIdMap.get(o.dataId).id,b=n.dataIdMap.get(s.dataId).id,w=h.outChannels,C=0;if(i!=null){let nt=n.dataIdMap.get(i.dataId);if(nt.shape.length!==1)throw new Error(`FusedDepthwiseConv2D only supports rank-1 bias but got rank ${nt.shape.length}.`);if(nt.shape[0]!==w)throw new Error(`FusedDepthwiseConv2D bias shape (${nt.shape}) does not match the number of output channels (${w})`);C=nt.id}let N=h.filterHeight,_=h.filterWidth,A=h.padInfo.top,$=h.padInfo.right,F=h.padInfo.bottom,P=h.padInfo.left,V=h.dilationHeight,G=h.dilationWidth,W=h.strideHeight,q=h.strideWidth,H=h.inChannels,j=h.padInfo.type==="SAME"?1:0,Y=h.batchSize,Z=h.inHeight,et=h.inWidth;if(p!=="NHWC")throw new Error(`wasm backend FusedDepthwiseConv2D does not support dataFormat:'${p}'. Please use 'NHWC'.`);let rt=n.makeOutput(h.outShape,"float32"),ot=n.dataIdMap.get(rt.dataId).id,at=a==null?0:n.dataIdMap.get(a.dataId).id;return FV(x,Y,Z,et,b,N,_,C,A,$,F,P,j,V,G,W,q,H,w,g,at,d||0,ot),rt}var OV={kernelName:Ci,backendName:"wasm",setupFunc:jst,kernelFunc:Xst};var PV;function Yst(r){PV=r.wasm.cwrap(ya,null,["number","number","number","number","number","number","array","number"])}function Zst(r){let{backend:t,inputs:e}=r,{params:n,indices:o}=e,[s,i,a,u]=Qg.prepareAndValidate(n,o),l=t.makeOutput(s,n.dtype);if(i===0)return l;let c=o.shape,p=c[c.length-1],f=t.dataIdMap.get(n.dataId).id,h=t.dataIdMap.get(o.dataId).id,g=new Uint8Array(new Int32Array(u).buffer),x=t.dataIdMap.get(l.dataId).id;return PV(f,Ht[n.dtype],h,i,p,a,g,x),l}var LV={kernelName:ya,backendName:"wasm",setupFunc:Yst,kernelFunc:Zst};var MV;function Jst(r){MV=r.wasm.cwrap("Gather",null,["number","number","array","number","number","number","array","number"])}function Qst(r){let{backend:t,inputs:e,attrs:n}=r,{x:o,indices:s}=e,{axis:i,batchDims:a}=n,u=y.parseAxisParam(i,o.shape)[0],l=t.readSync(s.dataId),c=o.shape[u];for(let F=0;F=0,()=>`GatherV2: the index value ${P} is not in [0, ${c-1}]`)}let p=S.segment_util.collectGatherOpShapeInfo(o,s,u,a),m=ir({inputs:{x:o},attrs:{shape:[p.batchSize,p.outerSize,p.dimSize,p.sliceSize]},backend:t}),f=y.sizeFromShape(s.shape),d=ir({inputs:{x:s},attrs:{shape:[p.batchSize,f/p.batchSize]},backend:t}),h=[p.batchSize,p.outerSize,f/p.batchSize,p.sliceSize],g=t.makeOutput(h,o.dtype);if(y.sizeFromShape(o.shape)===0)return g;let x=m.shape.length-1,w=t.dataIdMap.get(m.dataId).id,N=t.dataIdMap.get(d.dataId).id,_=t.dataIdMap.get(g.dataId).id,A=new Uint8Array(new Int32Array(y.computeStrides(m.shape)).buffer),$=new Uint8Array(new Int32Array(y.computeStrides(h)).buffer);return MV(w,Ht[o.dtype],A,x,N,p.batchSize,$,_),t.disposeData(m.dataId),t.disposeData(d.dataId),g.shape=p.outputShape,g}var zV={kernelName:li,backendName:"wasm",setupFunc:Jst,kernelFunc:Qst};var tit=!1,BV=ue(ba,tit,"bool");var eit=!1,VV=ue(os,eit,"bool");var GV;function rit(r){GV=r.wasm.cwrap(ss,null,["number","number","number","number"])}function nit(r){let{inputs:{x:t},attrs:{alpha:e},backend:n}=r,o=n.dataIdMap.get(t.dataId).id,s=n.makeOutput(t.shape,"float32");if(y.sizeFromShape(t.shape)!==0){let i=n.dataIdMap.get(s.dataId).id;GV(o,Ht[t.dtype],e,i)}return s}var WV={kernelName:ss,backendName:"wasm",setupFunc:rit,kernelFunc:nit};var oit=!1,UV=ue(va,oit,"bool");var sit=!1,HV=ue(Sa,sit,"bool");var qV=se(is);var iit=!1,KV=ue(ka,iit,"bool");var jV=se(Ta);var ait=!1,XV=ue(Ea,ait,"bool");var lit=!1,YV=ue(a1,lit,"bool");var ZV;function uit(r){ZV=r.wasm.cwrap(as,null,["number","number","number","number"])}function cit(r){let{backend:t,inputs:e,attrs:n}=r,{reductionIndices:o,keepDims:s}=n,{x:i}=e,u=t.dataIdMap.get(i.dataId).id,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=yn(i,o,t);if(f){let w=t.dataIdMap.get(c.dataId).id;l=c,u=w}let d=l.shape.length;S.assertAxesAreInnerMostDims("max",p,d);let[h,g]=S.computeOutAndReduceShapes(l.shape,p),x=y.sizeFromShape(g),b=t.makeOutput(h,i.dtype);if(y.sizeFromShape(l.shape)!==0){let w=t.dataIdMap.get(b.dataId).id;ZV(u,Ht[i.dtype],x,w)}if(f&&t.disposeData(c.dataId),s){let w=S.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var JV={kernelName:as,backendName:"wasm",setupFunc:uit,kernelFunc:cit};var pit=!1,QV=ue(ls,pit);var tG;function mit(r){tG=r.wasm.cwrap(us,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function fit(r){let{inputs:t,attrs:e,backend:n}=r,o=t.x,s=n.dataIdMap.get(o.dataId).id;y.assert(o.dtype==="float32",()=>`Error in MaxPool: only float32 input is supported. Got ${o.dtype}.`);let{filterSize:i,strides:a,pad:u,dimRoundingMode:l}=e,c=S.computePool2DInfo(o.shape,i,a,1,u,l),p=c.filterHeight,m=c.filterWidth,f=c.padInfo.top,d=c.padInfo.right,h=c.padInfo.bottom,g=c.padInfo.left,x=c.dilationHeight,b=c.dilationWidth,w=c.strideHeight,C=c.strideWidth,N=c.inChannels,_=c.outChannels;if(c.dataFormat!=="channelsLast")throw new Error(`wasm backend does not support dataFormat:'${c.dataFormat}'. Please use 'channelsLast'.`);let A=n.makeOutput(c.outShape,"float32"),$=n.dataIdMap.get(A.dataId).id;return tG(s,o.shape[0],o.shape[1],o.shape[2],p,m,f,d,h,g,x,b,w,C,N,_,$),A}var eG={kernelName:us,backendName:"wasm",setupFunc:mit,kernelFunc:fit};var rG;function dit(r){rG=r.wasm.cwrap(cs,null,["number, number, number"])}function hit(r){let{backend:t,inputs:e,attrs:n}=r,{axis:o,keepDims:s}=n,{x:i}=e,a=t.dataIdMap.get(i.dataId).id,u=a,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=yn(i,o,t),d=p;if(f){let C=t.dataIdMap.get(c.dataId).id;C!==a&&(l=c,u=C,d=S.getInnerMostAxes(d.length,l.shape.length))}S.assertAxesAreInnerMostDims("mean",d,l.shape.length);let[h,g]=S.computeOutAndReduceShapes(l.shape,d),x=y.sizeFromShape(g),b=l;l.dtype!=="float32"&&(b=ei({backend:t,inputs:{x:l},attrs:{dtype:"float32"}}),u=t.dataIdMap.get(b.dataId).id);let w=t.makeOutput(h,"float32");if(y.sizeFromShape(l.shape)!==0){let C=t.dataIdMap.get(w.dataId).id;rG(u,x,C)}if(f&&t.disposeData(c.dataId),s){let C=S.expandShapeToKeepDim(w.shape,m);w.shape=C}return l.dtype!=="float32"&&t.disposeData(b.dataId),w}var nG={kernelName:cs,backendName:"wasm",setupFunc:dit,kernelFunc:hit};var oG;function git(r){oG=r.wasm.cwrap(ps,null,["number","number","number","number"])}function xit(r){let{backend:t,inputs:e,attrs:n}=r,{axis:o,keepDims:s}=n,{x:i}=e,a=t.dataIdMap.get(i.dataId).id,u=a,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=yn(i,o,t);if(f){let w=t.dataIdMap.get(c.dataId).id;w!==a&&(l=c,u=w)}let d=l.shape.length;S.assertAxesAreInnerMostDims("min",p,d);let[h,g]=S.computeOutAndReduceShapes(l.shape,p),x=y.sizeFromShape(g),b=t.makeOutput(h,l.dtype);if(y.sizeFromShape(l.shape)!==0){let w=t.dataIdMap.get(b.dataId).id;oG(u,Ht[i.dtype],x,w)}if(f&&t.disposeData(c.dataId),s){let w=S.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var sG={kernelName:ps,backendName:"wasm",setupFunc:git,kernelFunc:xit};var yit=!1,iG=ue(ms,yit);var TT;(function(r){r[r.reflect=0]="reflect",r[r.symmetric=1]="symmetric"})(TT||(TT={}));var aG;function bit(r){aG=r.wasm.cwrap(fs,null,["number","array","number","number","array","array","number","number"])}function wit(r){let{inputs:{x:t},backend:e,attrs:{paddings:n,mode:o}}=r,s=n.map((d,h)=>d[0]+t.shape[h]+d[1]),i=e.dataIdMap.get(t.dataId).id,a=e.makeOutput(s,t.dtype),u=e.dataIdMap.get(a.dataId).id,l=new Uint8Array(new Int32Array(t.shape).buffer),c=n.map(d=>d[0]),p=n.map(d=>d[1]),m=new Uint8Array(new Int32Array(c).buffer),f=new Uint8Array(new Int32Array(p).buffer);return aG(i,l,t.shape.length,Ht[t.dtype],m,f,TT[o],u),a}var lG={kernelName:fs,backendName:"wasm",kernelFunc:wit,setupFunc:bit};var Cit=!0,uG=ue(ds,Cit);var cG=se(ui);function Ed(r,t){let e=new Int32Array(r.wasm.HEAPU8.buffer,t,4),n=e[0],o=e[1],s=e[2],i=e[3];return r.wasm._free(t),{pSelectedIndices:n,selectedSize:o,pSelectedScores:s,pValidOutputs:i}}var pG;function Iit(r){pG=r.wasm.cwrap($a,"number",["number","number","number","number","number"])}function vit(r){let{backend:t,inputs:e,attrs:n}=r,{iouThreshold:o,maxOutputSize:s,scoreThreshold:i}=n,{boxes:a,scores:u}=e,l=t.dataIdMap.get(a.dataId).id,c=t.dataIdMap.get(u.dataId).id,p=pG(l,c,s,o,i),{pSelectedIndices:m,selectedSize:f,pSelectedScores:d,pValidOutputs:h}=Ed(t,p);return t.wasm._free(d),t.wasm._free(h),t.makeOutput([f],"int32",m)}var mG={kernelName:$a,backendName:"wasm",setupFunc:Iit,kernelFunc:vit};var fG;function Sit(r){fG=r.wasm.cwrap(Da,"number",["number","number","number","number","number","bool"])}function Nit(r){let{backend:t,inputs:e,attrs:n}=r,{iouThreshold:o,maxOutputSize:s,scoreThreshold:i,padToMaxOutputSize:a}=n,{boxes:u,scores:l}=e,c=t.dataIdMap.get(u.dataId).id,p=t.dataIdMap.get(l.dataId).id,m=fG(c,p,s,o,i,a),{pSelectedIndices:f,selectedSize:d,pSelectedScores:h,pValidOutputs:g}=Ed(t,m);t.wasm._free(h);let x=t.makeOutput([d],"int32",f),b=t.makeOutput([],"int32",g);return[x,b]}var dG={kernelName:Da,backendName:"wasm",setupFunc:Sit,kernelFunc:Nit};var hG;function kit(r){hG=r.wasm.cwrap(Ra,"number",["number","number","number","number","number","number"])}function Tit(r){let{backend:t,inputs:e,attrs:n}=r,{iouThreshold:o,maxOutputSize:s,scoreThreshold:i,softNmsSigma:a}=n,{boxes:u,scores:l}=e,c=t.dataIdMap.get(u.dataId).id,p=t.dataIdMap.get(l.dataId).id,m=hG(c,p,s,o,i,a),{pSelectedIndices:f,selectedSize:d,pSelectedScores:h,pValidOutputs:g}=Ed(t,m);t.wasm._free(g);let x=t.makeOutput([d],"int32",f),b=t.makeOutput([d],"float32",h);return[x,b]}var gG={kernelName:Ra,backendName:"wasm",setupFunc:kit,kernelFunc:Tit};var Eit=!1,xG=ue(Aa,Eit,"bool");var yG;function _it(r){yG=r.wasm.cwrap(hs,null,["number","number","number","number","number"])}function Ait(r){let{inputs:t,backend:e,attrs:n}=r,{indices:o}=t,{dtype:s,depth:i,onValue:a,offValue:u}=n,l=e.makeOutput([...o.shape,i],s),c=e.dataIdMap.get(l.dataId).id,m=e.dataIdMap.get(o.dataId).id;return yG(m,i,a,u,c),l}var bG={kernelName:hs,backendName:"wasm",setupFunc:_it,kernelFunc:Ait};function $it(r){let{inputs:{x:t},backend:e}=r,n=e.makeOutput(t.shape,t.dtype);return e.typedArrayFromHeap(n).fill(1),n}var wG={kernelName:ci,backendName:"wasm",kernelFunc:$it};function Dit(r){let{inputs:t,backend:e,attrs:n}=r,{axis:o}=n;if(t.length===1)return oI({inputs:{input:t[0]},backend:e,attrs:{dim:o}});let s=t[0].shape,i=t[0].dtype;t.forEach(c=>{y.assertShapesMatch(s,c.shape,"All tensors passed to stack must have matching shapes"),y.assert(i===c.dtype,()=>"All tensors passed to stack must have matching dtypes")});let a=[],u=t.map(c=>{let p=oI({inputs:{input:c},backend:e,attrs:{dim:o}});return a.push(p),p}),l=ST({inputs:u,backend:e,attrs:{axis:o}});return a.forEach(c=>e.disposeData(c.dataId)),l}var CG={kernelName:pi,backendName:"wasm",kernelFunc:Dit};var IG;function Rit(r){IG=r.wasm.cwrap(gs,null,["number","array","number","number","array","array","number","number"])}function Fit(r){let{inputs:{x:t},backend:e,attrs:{paddings:n,constantValue:o}}=r,s=n.map((h,g)=>h[0]+t.shape[g]+h[1]);if(y.sizeFromShape(t.shape)===0)return kT({backend:e,attrs:{shape:s,value:o,dtype:t.dtype}});let i=e.dataIdMap.get(t.dataId).id,a=e.makeOutput(s,t.dtype),l=e.dataIdMap.get(a.dataId).id,c=new Uint8Array(new Int32Array(t.shape).buffer),p=n.map(h=>h[0]),m=n.map(h=>h[1]),f=new Uint8Array(new Int32Array(p).buffer),d=new Uint8Array(new Int32Array(m).buffer);return IG(i,c,t.shape.length,Ht[t.dtype],f,d,o,l),a}var sI={kernelName:gs,backendName:"wasm",kernelFunc:Fit,setupFunc:Rit};var Oit=!1,vG=ue(xs,Oit);var SG;function Pit(r){SG=r.wasm.cwrap(ys,null,["number","number","number"])}function Lit(r){let{inputs:t,backend:e}=r,{x:n,alpha:o}=t,s=e.dataIdMap.get(n.dataId).id,i=e.dataIdMap.get(o.dataId).id,a=s,u=n,l=u;u.dtype!=="float32"&&(l=ei({backend:e,inputs:{x:n},attrs:{dtype:"float32"}}),a=e.dataIdMap.get(l.dataId).id);let c=e.makeOutput(n.shape,"float32"),p=e.dataIdMap.get(c.dataId).id;return SG(a,i,p),u.dtype!=="float32"&&e.disposeData(l.dataId),c}var NG={kernelName:ys,backendName:"wasm",setupFunc:Pit,kernelFunc:Lit};var kG;function Mit(r){kG=r.wasm.cwrap(bs,null,["number","number","number","number"])}function zit(r){let{backend:t,inputs:e,attrs:n}=r,{axis:o,keepDims:s}=n,{x:i}=e,a=t.dataIdMap.get(i.dataId).id,u=a,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=yn(i,o,t),d=p;if(f){let w=t.dataIdMap.get(c.dataId).id;w!==a&&(l=c,u=w,d=S.getInnerMostAxes(d.length,l.shape.length))}S.assertAxesAreInnerMostDims("prod",d,l.shape.length);let[h,g]=S.computeOutAndReduceShapes(l.shape,d),x=y.sizeFromShape(g),b=t.makeOutput(h,l.dtype);if(y.sizeFromShape(l.shape)!==0){let w=t.dataIdMap.get(b.dataId).id;kG(u,x,Ht[b.dtype],w)}if(f&&t.disposeData(c.dataId),s){let w=S.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var TG={kernelName:bs,backendName:"wasm",setupFunc:Mit,kernelFunc:zit};var Bit=r=>{let{backend:t,attrs:e}=r,{start:n,stop:o,step:s,dtype:i}=e,a=Ac(n,o,s,i),u=t.makeOutput([a.length],i);return t.typedArrayFromHeap(u).set(a),u},EG={kernelName:Rl,backendName:"wasm",kernelFunc:Bit};var Vit=!0,_G=ue(Jo,Vit);var AG=se(ws);var $G=se(vs);var DG;function Git(r){DG=r.wasm.cwrap(Is,null,["number","number","number","number","number","number","number","number","number","number"])}function Wit(r){let{backend:t,inputs:e,attrs:n}=r,{images:o}=e,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,[c,p,m,f]=o.shape,d=[c,u,l,f],h=t.dataIdMap.get(o.dataId),g;h.dtype!=="float32"&&(g=ei({backend:t,inputs:{x:o},attrs:{dtype:"float32"}}),h=t.dataIdMap.get(g.dataId));let x=h.id,b=t.makeOutput(d,"float32");if(y.sizeFromShape(o.shape)===0)return b;let w=t.dataIdMap.get(b.dataId).id;return DG(x,c,p,m,f,u,l,s?1:0,i?1:0,w),g!=null&&t.disposeData(g.dataId),b}var RG={kernelName:Is,backendName:"wasm",setupFunc:Git,kernelFunc:Wit};var FG;function Uit(r){FG=r.wasm.cwrap(Cs,null,["number","number","number","number","number","number","number","number","number","number"])}function Hit(r){let{backend:t,inputs:e,attrs:n}=r,{images:o}=e,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,[c,p,m,f]=o.shape,d=[c,u,l,f],h=t.makeOutput(d,"float32");if(y.sizeFromShape(o.shape)===0)return h;let g=t.dataIdMap.get(o.dataId),x;g.dtype!=="float32"&&(x=ei({backend:t,inputs:{x:o},attrs:{dtype:"float32"}}),g=t.dataIdMap.get(x.dataId));let b=g.id,w=t.dataIdMap.get(h.dataId).id;return FG(b,c,p,m,f,u,l,s?1:0,i?1:0,w),x!=null&&t.disposeData(x.dataId),h}var OG={kernelName:Cs,backendName:"wasm",setupFunc:Uit,kernelFunc:Hit};var PG;function qit(r){PG=r.wasm.cwrap(Ss,null,["number","array","number","array","number","number"])}function Kit(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dims:s}=n,i=y.parseAxisParam(s,o.shape);if(o.shape.length===0)return jc({inputs:{x:o},backend:e});let a=e.makeOutput(o.shape,o.dtype),u=e.dataIdMap.get(o.dataId).id,l=e.dataIdMap.get(a.dataId).id,c=new Uint8Array(new Int32Array(i).buffer),p=new Uint8Array(new Int32Array(o.shape).buffer);PG(u,c,i.length,p,o.shape.length,l);let m=ir({inputs:{x:a},attrs:{shape:o.shape},backend:e});return e.disposeData(a.dataId),m}var LG={kernelName:Ss,backendName:"wasm",kernelFunc:Kit,setupFunc:qit};var MG;function jit(r){MG=r.wasm.cwrap(Ua,null,["number","number","number","number","number","number","number","number","array","number","number"])}function Xit(r){let{inputs:t,backend:e,attrs:n}=r,{image:o}=t,{radians:s,fillValue:i,center:a}=n,u=e.makeOutput(o.shape,o.dtype),l=e.dataIdMap.get(o.dataId).id,c=e.dataIdMap.get(u.dataId).id,[p,m,f,d]=o.shape,[h,g]=S.getImageCenter(a,m,f),x=i===0,b=255,w=typeof i=="number"?[i,i,i,x?0:b]:[...i,b],C=new Uint8Array(new Int32Array(w).buffer);return MG(l,p,m,f,d,s,h,g,C,w.length,c),u}var zG={kernelName:Ua,backendName:"wasm",kernelFunc:Xit,setupFunc:jit};var BG=se(Ns);var VG=se(ks);var GG;function Yit(r){GG=r.wasm.cwrap(Oa,null,["number","number","number","number","number","number","array","number","number"])}function Zit(r){let{backend:t,inputs:e,attrs:n}=r,{indices:o,updates:s}=e,{shape:i}=n,a=t.makeOutput(i,s.dtype);if(y.sizeFromShape(i)===0)return a;let{sliceRank:u,numUpdates:l,sliceSize:c,strides:p,outputSize:m}=oh.calculateShapes(s,o,i),d=t.dataIdMap.get(o.dataId).id,g=t.dataIdMap.get(s.dataId).id,x=new Uint8Array(new Int32Array(p).buffer),b=t.dataIdMap.get(a.dataId).id;return GG(d,g,Ht[s.dtype],u,l,c,x,m,b),a}var WG={kernelName:Oa,backendName:"wasm",setupFunc:Yit,kernelFunc:Zit};var UG;function Jit(r){UG=r.wasm.cwrap("SelectV2",null,["number","number","number","number","number"])}function Qit(r){let{inputs:t,backend:e}=r,{condition:n,t:o,e:s}=t,i=e.dataIdMap.get(n.dataId).id,a=e.dataIdMap.get(o.dataId).id,u=e.dataIdMap.get(s.dataId).id,l=e.makeOutput(o.shape,o.dtype),c=e.dataIdMap.get(l.dataId).id,p=n.shape.length,m=o.shape.length,f=p===0||p>1||m===1?1:y.sizeFromShape(o.shape.slice(1));return UG(i,a,u,f,c),l}var HG={kernelName:fi,backendName:"wasm",kernelFunc:Qit,setupFunc:Jit};var qG;function tat(r){qG=r.wasm.cwrap(Es,null,["number","number"])}function eat(r){let{backend:t,inputs:{x:e}}=r,n=t.dataIdMap.get(e.dataId).id,o=t.makeOutput(e.shape,e.dtype),s=t.dataIdMap.get(o.dataId).id;return y.sizeFromShape(o.shape)===0||qG(n,s),o}var KG={kernelName:"Sigmoid",backendName:"wasm",setupFunc:tat,kernelFunc:eat};var jG=se(Ts);var XG;function rat(r){XG=r.wasm.cwrap($s,null,["number","number","number","number"])}function nat(r){let{backend:t,inputs:{logits:e},attrs:{dim:n}}=r,o=t.dataIdMap.get(e.dataId).id,s=t.makeOutput(e.shape,e.dtype),i=t.dataIdMap.get(s.dataId).id,a=e.shape[n],u=y.sizeFromShape(e.shape)/a;return y.sizeFromShape(s.shape)===0||XG(o,i,a,u),s}var YG={kernelName:$s,backendName:"wasm",setupFunc:rat,kernelFunc:nat};function oat(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,paddings:i}=n,a=y.sizeFromShape(s),u=[[0,0]];u.push(...i);for(let _=1+s.length;_{let F=C.shape[0],P=C.shape[1],V=v.segment_util.segOpComputeOptimalWindowSize(P,$),G={windowSize:V,inSize:P,batchSize:F,numSegments:$},W=new lI(G,N),q=e.compileAndRun(W,[C,_],A);if(u.push(q),q.shape[1]===$)return q;let H=kk({backend:e,attrs:{start:0,stop:$,step:1,dtype:"float32"}}),j=Ek({inputs:{x:H},backend:e,attrs:{reps:[P/V]}});return u.push(H),u.push(j),g(q,N,j,A,$)},x=g(d,"unsortedSegmentSum",s,h,i),b=st({inputs:{x},backend:e,attrs:{shape:m}}),w=b;if(c!=null){u.push(b);let C=v.getUndoAxesPermutation(c);w=Oe({inputs:{x:w},backend:e,attrs:{perm:C}})}return u.forEach(C=>e.disposeIntermediateTensorInfo(C)),w}var GB={kernelName:Wl,backendName:"webgl",kernelFunc:yst};var bst=[kM,_M,AM,$M,RM,FM,OM,PM,zM,BM,VM,GM,WM,UM,HM,qM,KM,jM,XM,YM,ZM,QM,tz,ez,sz,az,lz,xM,cz,mz,fz,dz,hz,gz,xz,yz,bz,wz,Cz,vz,Nz,Tz,kz,Ez,_z,Az,$z,Dz,Rz,Fz,Oz,Pz,Lz,Mz,zz,Vz,Gz,Wz,Uz,qz,Kz,jz,Xz,Yz,Zz,Jz,Qz,t3,gM,e3,pz,r3,n3,o3,yM,s3,i3,a3,l3,u3,c3,p3,m3,f3,d3,g3,x3,y3,b3,w3,C3,S3,N3,T3,k3,E3,_3,F3,CM,O3,P3,L3,M3,rz,z3,G3,W3,U3,H3,bM,q3,K3,j3,X3,Y3,nz,A3,Z3,J3,Q3,SM,tB,eB,rB,nB,oB,sB,iB,aB,lB,uB,cB,pB,mB,fB,dB,hB,JM,R3,gB,xB,yB,bB,wB,CB,IB,SB,NB,TB,EB,_B,AB,$B,DB,RB,D3,NM,FB,OB,PB,MB,zB,TM,BB,VB,GB,B3];for(let r of bst)Lu(r);var qt;(function(r){r[r.float32=0]="float32",r[r.int32=1]="int32",r[r.bool=2]="bool",r[r.string=3]="string",r[r.complex64=4]="complex64"})(qt||(qt={}));var Du;(function(r){r[r.linear=0]="linear",r[r.relu=1]="relu",r[r.relu6=2]="relu6",r[r.prelu=3]="prelu",r[r.leakyrelu=4]="leakyrelu",r[r.sigmoid=5]="sigmoid",r[r.elu=6]="elu"})(Du||(Du={}));var WB;function wst(r){WB=r.wasm.cwrap(Ci,null,["number","array","number","number","array","number","number","number","number","number","number","number","number"])}function Cst(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s,bias:i,preluActivationWeights:a}=t;if(o.dtype!=="float32"||s.dtype!=="float32")throw new Error("_FusedMatMul for non non-float32 tensors not yet supported.");let{transposeA:u,transposeB:l,activation:c,leakyreluAlpha:p}=n,m=e.dataIdMap.get(o.dataId).id,f=e.dataIdMap.get(s.dataId).id,d=0;if(i!=null){let $=e.dataIdMap.get(i.dataId);if($.shape.length!==1)throw new Error(`_FusedMatMul only supports rank-1 bias but got rank ${$.shape.length}.`);d=$.id}let h=a==null?0:e.dataIdMap.get(a.dataId).id,g=Du[c];if(g==null)throw new Error(`${c} activation not yet supported for FusedConv2D in the wasm backend.`);let x=u?o.shape[2]:o.shape[1],b=l?s.shape[1]:s.shape[2],w=Vr.assertAndGetBroadcastShape(o.shape.slice(0,-2),s.shape.slice(0,-2)),C=e.makeOutput([...w,x,b],o.dtype),N=e.dataIdMap.get(C.dataId).id,_=new Uint8Array(new Int32Array(o.shape).buffer),A=new Uint8Array(new Int32Array(s.shape).buffer);return WB(m,_,o.shape.length,f,A,s.shape.length,u,l,g,d,h,p||0,N),C}var UB={kernelName:Ci,backendName:"wasm",setupFunc:wst,kernelFunc:Cst};function se(r,t){let e;function n(s){e=s.wasm.cwrap(r,null,["number","number","number"])}function o(s){let{backend:i,inputs:{x:a}}=s,u=i.dataIdMap.get(a.dataId).id,l=i.makeOutput(a.shape,t||a.dtype),c=i.dataIdMap.get(l.dataId).id;return y.sizeFromShape(l.shape)===0||e(u,qt[a.dtype],c),l}return{kernelName:r,backendName:"wasm",setupFunc:n,kernelFunc:o}}var HB=se(ii);function ue(r,t,e){let n;function o(i){n=i.wasm.cwrap(r,null,["number","array","number","number","array","number","number","number"])}function s(i){let{backend:a,inputs:u}=i,{a:l,b:c}=u,p=a.dataIdMap.get(l.dataId).id,m=a.dataIdMap.get(c.dataId).id,f=e!=null?e:l.dtype,d=v.assertAndGetBroadcastShape(l.shape,c.shape),h=a.makeOutput(d,f);if(y.sizeFromShape(d)===0)return h;let g=new Uint8Array(new Int32Array(l.shape).buffer),x=new Uint8Array(new Int32Array(c.shape).buffer),b=a.dataIdMap.get(h.dataId).id;return(()=>n(p,g,l.shape.length,m,x,c.shape.length,qt[l.dtype],b))(),h}return{kernelName:r,backendName:"wasm",setupFunc:o,kernelFunc:s}}var Ist=!0,qB=ue(Zn,Ist);var KB;function Sst(r){KB=r.wasm.cwrap(Go,null,["array","number","number","number"])}function vst(r){let{inputs:t,backend:e}=r,n=e.makeOutput(t[0].shape,t[0].dtype);if(y.sizeFromShape(n.shape)===0)return n;let o=t.map(a=>e.dataIdMap.get(a.dataId).id),s=new Uint8Array(new Int32Array(o).buffer),i=e.dataIdMap.get(n.dataId).id;return KB(s,o.length,qt[n.dtype],i),n}var jB={kernelName:Go,backendName:"wasm",setupFunc:Sst,kernelFunc:vst};function jc(r){let{inputs:{x:t},backend:e}=r;if(t.dtype==="string")return ur(e.readSync(t.dataId),t.shape,t.dtype);let n=e.makeOutput(t.shape,t.dtype),o=e.typedArrayFromHeap(t);return e.typedArrayFromHeap(n).set(o),n}var XB={kernelName:co,backendName:"wasm",kernelFunc:jc};var YB;function Nst(r){YB=r.wasm.cwrap(Qn,null,["number","array","number","number","number","array","number"])}function ao(r){let{inputs:t,backend:e,attrs:n}=r,[o,s]=kst(t.x.shape,n.perm),i=!0;for(let d=0;d=o&&(s===-1||n[s]>n[i])&&(s=i);n[s]=o}return[e,n]}var ZB={kernelName:Qn,backendName:"wasm",kernelFunc:ao,setupFunc:Nst};function bn(r,t,e){let n=r.shape,o=r.shape.length,s=y.parseAxisParam(t,n),i=s,a=v.getAxesPermutation(i,o),u=null,l=!1;if(a!=null){let c=new Array(o);for(let f=0;f`new shape: ${i}, old shape: ${n.shape}. New shape and old shape must have the same number of elements.`),r.backend.incRef(n.dataId),{dataId:n.dataId,shape:i,dtype:n.dtype}}var iV={kernelName:di,backendName:"wasm",kernelFunc:ar};var aV;function Pst(r){aV=r.wasm.cwrap(Ho,null,["number","array","number","number","array","number","number","number","number"])}function Lst(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s}=t,{transposeA:i,transposeB:a}=n;if(o.dtype!=="float32"||s.dtype!=="float32")throw new Error("BatchMatMul for non non-float32 tensors not yet supported.");let u=o.shape.length,l=s.shape.length,c=i?o.shape[u-2]:o.shape[u-1],p=a?s.shape[l-1]:s.shape[l-2],m=i?o.shape[u-1]:o.shape[u-2],f=a?s.shape[l-2]:s.shape[l-1],d=o.shape.slice(0,-2),h=s.shape.slice(0,-2),g=y.sizeFromShape(d),x=y.sizeFromShape(h),w=Vr.assertAndGetBroadcastShape(o.shape.slice(0,-2),s.shape.slice(0,-2)).concat([m,f]);y.assert(c===p,()=>`Error in matMul: inner shapes (${c}) and (${p}) of Tensors with shapes ${o.shape} and ${s.shape} and transposeA=${i} and transposeB=${a} must match.`);let C=i?[g,c,m]:[g,m,c],N=a?[x,f,p]:[x,p,f],_=ar({inputs:{x:o},backend:e,attrs:{shape:C}}),A=ar({inputs:{x:s},backend:e,attrs:{shape:N}}),$=e.dataIdMap.get(_.dataId).id,F=e.dataIdMap.get(A.dataId).id,P=i?_.shape[2]:_.shape[1],V=a?A.shape[1]:A.shape[2],G=Math.max(g,x),W=e.makeOutput([G,P,V],_.dtype),q=e.dataIdMap.get(W.dataId).id,H=new Uint8Array(new Int32Array(_.shape).buffer),j=new Uint8Array(new Int32Array(A.shape).buffer);return aV($,H,_.shape.length,F,j,A.shape.length,i,a,q),e.disposeData(_.dataId),e.disposeData(A.dataId),W.shape=w,W}var lV={kernelName:Ho,backendName:"wasm",setupFunc:Pst,kernelFunc:Lst};function Lo(r){let{inputs:{x:t},attrs:{begin:e,size:n},backend:o}=r,[s,i]=Le.parseSliceParams(t,e,n),a=Le.isSliceContinous(t.shape,s,i),u=o.readSync(t.dataId),l=o.makeOutput(i,t.dtype),c=y.computeStrides(t.shape),p=o.dataIdMap.get(l.dataId);if(a){let d=Le.computeFlatOffset(s,c);return t.dtype==="string"?p.stringBytes=u.slice(d,d+y.sizeFromShape(i)):o.typedArrayFromHeap(l).set(u.subarray(d,d+y.sizeFromShape(i))),l}if(t.dtype==="string"){let d=$c(u,s,i,t.shape,t.dtype);return p.stringBytes=d,l}let m=o.typedArrayFromHeap(l),f=t.shape.length;if(f===2)Mst(u,c[0],m,s,i);else if(f===3)zst(u,c[0],c[1],m,s,i);else if(f===4)Bst(u,c[0],c[1],c[2],m,s,i);else{let d=$c(u,s,i,t.shape,t.dtype);m.set(d)}return l}function Mst(r,t,e,n,o){let s=0,i=n[0],a=n[1],u=i+o[0];for(let l=i;lx*b),u=v.getReshaped(o.shape,s,a),l=v.getPermuted(u.length,s.length),c=v.getReshapedPermuted(o.shape,s,a),p=v.getSliceBeginCoords(i,s.length),m=v.getSliceSize(c,i,s.length),f=ar({inputs:{x:o},backend:e,attrs:{shape:u}}),d=ao({inputs:{x:f},backend:e,attrs:{perm:l}}),h=ar({inputs:{x:d},backend:e,attrs:{shape:c}}),g=Lo({inputs:{x:h},backend:e,attrs:{begin:p,size:m}});return e.disposeData(f.dataId),e.disposeData(d.dataId),e.disposeData(f.dataId),g}var cV={kernelName:ai,backendName:"wasm",kernelFunc:Vst};function ni(r){let{inputs:{x:t},attrs:{dtype:e},backend:n}=r,o=n.makeOutput(t.shape,e),s=n.typedArrayFromHeap(t);return n.typedArrayFromHeap(o).set(s),o}var pV={kernelName:lo,backendName:"wasm",kernelFunc:ni};var mV=se(qo);var fV;function Gst(r){fV=r.wasm.cwrap(uo,null,["number","number","number","number"])}function Wst(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{clipValueMin:s,clipValueMax:i}=n,a=e.dataIdMap.get(o.dataId).id,u=e.makeOutput(o.shape,o.dtype),l=e.dataIdMap.get(u.dataId).id;return fV(a,s,i,l),u}var dV={kernelName:uo,backendName:"wasm",setupFunc:Gst,kernelFunc:Wst};function _k(r){let{inputs:t,backend:e}=r,n=y.parseAxisParam(r.attrs.axis,t[0].shape)[0],o=t.map(f=>f.shape);v.assertParamsConsistent(o,n);let s=v.computeOutShape(t.map(f=>f.shape),n),i=t.filter(f=>y.sizeFromShape(f.shape)>0);if(i.length===1)return jc({inputs:{x:i[0]},backend:e});let a=e.makeOutput(s,t[0].dtype);if(y.sizeFromShape(s)===0)return a;if(i[0].dtype==="string"){let f=i.map(w=>{let C=y.sizeFromShape(w.shape.slice(n));return ar({inputs:{x:w},backend:e,attrs:{shape:[-1,C]}})}),d=f.map(w=>({vals:e.readSync(w.dataId),shape:w.shape}));s=v.computeOutShape(f.map(w=>w.shape),1);let h=f[0].shape[0]===1,g=Ec(d,s,t[0].dtype,h),x=v.computeOutShape(i.map(w=>w.shape),n);a.shape=x;let b=e.dataIdMap.get(a.dataId);return b.stringBytes=v.fromStringArrayToUint8(g),f.forEach(w=>e.disposeData(w.dataId)),a}let u=y.sizeFromShape(i[0].shape.slice(0,n)),l=0,c=i.map(f=>{let d=y.sizeFromShape(f.shape.slice(n));return l+=d,d}),p=i.map(f=>e.typedArrayFromHeap(f)),m=e.typedArrayFromHeap(a);for(let f=0;f`cumprod does not support ${o.dtype} tensors in the WASM backend`);let l=v.getAxesPermutation([s],u),c=o;l!==null&&(c=ao({inputs:{x:o},attrs:{perm:l},backend:e}));let p=v.getInnerMostAxes(1,u)[0];v.assertAxesAreInnerMostDims("cumprod",[p],u);let m=e.makeOutput(c.shape,c.dtype),f=c.shape[p],d=e.dataIdMap.get(c.dataId).id,h=e.dataIdMap.get(m.dataId).id;vV(d,i?1:0,a?1:0,f,h,qt[o.dtype]);let g=m;if(l!==null){let x=v.getUndoAxesPermutation(l);g=ao({inputs:{x:m},attrs:{perm:x},backend:e}),e.disposeData(c.dataId),e.disposeData(m.dataId)}return g}var NV={kernelName:fa,backendName:"wasm",setupFunc:Yst,kernelFunc:Zst};var TV;function Jst(r){TV=r.wasm.cwrap(Zo,null,["number","number","number","number","number","number"])}function Qst(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,exclusive:i,reverse:a}=n,u=o.shape.length;y.assert(o.dtype==="float32"||o.dtype==="int32",()=>`cumsum does not support ${o.dtype} tensors in the WASM backend`);let l=v.getAxesPermutation([s],u),c=o;l!==null&&(c=ao({inputs:{x:o},attrs:{perm:l},backend:e}));let p=v.getInnerMostAxes(1,u)[0];v.assertAxesAreInnerMostDims("cumsum",[p],u);let m=e.makeOutput(c.shape,c.dtype),f=c.shape[p],d=e.dataIdMap.get(c.dataId).id,h=e.dataIdMap.get(m.dataId).id;TV(d,i?1:0,a?1:0,f,h,qt[o.dtype]);let g=m;if(l!==null){let x=v.getUndoAxesPermutation(l);g=ao({inputs:{x:m},attrs:{perm:x},backend:e}),e.disposeData(c.dataId),e.disposeData(m.dataId)}return g}var kV={kernelName:Zo,backendName:"wasm",setupFunc:Jst,kernelFunc:Qst};var EV;function tit(r){EV=r.wasm.cwrap(ha,null,["number","number","number","array","number","array","array","number","number"])}function eit(r){let{backend:t,inputs:e,attrs:n}=r,{x:o}=e,{blockSize:s,dataFormat:i}=n,a=o.shape[0],u=i==="NHWC"?o.shape[1]:o.shape[2],l=i==="NHWC"?o.shape[2]:o.shape[3],c=i==="NHWC"?o.shape[3]:o.shape[1],p=u*s,m=l*s,f=c/(s*s),d=i==="NHWC"?[a,p,m,f]:[a,f,p,m],h=t.makeOutput(d,"float32"),x=t.dataIdMap.get(o.dataId).id,b=new Uint8Array(new Int32Array(y.computeStrides(o.shape)).buffer),w=new Uint8Array(new Int32Array(d).buffer),C=new Uint8Array(new Int32Array(y.computeStrides(d)).buffer),N=t.dataIdMap.get(h.dataId).id;return EV(x,s,i==="NHWC"?1:0,b,o.shape.length-1,w,C,d.length,N),h}var _V={kernelName:ha,backendName:"wasm",setupFunc:tit,kernelFunc:eit};var AV;function rit(r){AV=r.wasm.cwrap(Jo,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function nit(r){let{inputs:t,attrs:e,backend:n}=r,{x:o,filter:s}=t,i=n.dataIdMap.get(o.dataId).id,a=n.dataIdMap.get(s.dataId).id,{strides:u,dilations:l,pad:c,dimRoundingMode:p}=e,m=l==null?[1,1]:l,f=v.computeConv2DInfo(o.shape,s.shape,u,m,c,p,!0),d=f.filterHeight,h=f.filterWidth,g=f.padInfo.top,x=f.padInfo.right,b=f.padInfo.bottom,w=f.padInfo.left,C=f.dilationHeight,N=f.dilationWidth,_=f.strideHeight,A=f.strideWidth,$=f.inChannels,F=f.outChannels,P=f.padInfo.type==="SAME"?1:0;if(f.dataFormat!=="channelsLast")throw new Error(`wasm backend DepthwiseConv2dNative does not support dataFormat:'${f.dataFormat}'. Please use 'channelsLast'.`);let V=n.makeOutput(f.outShape,"float32"),G=n.dataIdMap.get(V.dataId).id;return AV(i,o.shape[0],o.shape[1],o.shape[2],a,d,h,g,x,b,w,P,C,N,_,A,$,F,G),V}var $V={kernelName:Jo,backendName:"wasm",setupFunc:rit,kernelFunc:nit};var DV=se(ts);var oit=!1,RV=ue(xa,oit,"bool");var FV=se(es,"float32");function uI(r){let{inputs:t,attrs:e,backend:n}=r,{input:o}=t,{dim:s}=e,i=o.shape.length,a=o.shape.slice(),u=s;return s<0&&(y.assert(-(i+1)<=s,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),u=i+s+1),a.splice(u,0,1),ar({inputs:{x:o},backend:n,attrs:{shape:a}})}var OV={kernelName:ui,backendName:"wasm",kernelFunc:uI};function $k(r){let{attrs:{shape:t,value:e,dtype:n},backend:o}=r,s=o.makeOutput(t,n);return o.typedArrayFromHeap(s).fill(e),s}var PV={kernelName:Dl,backendName:"wasm",kernelFunc:$k};var LV;function sit(r){LV=r.wasm.cwrap(ba,null,["number","number","number","number","number","number"])}function iit(r){let{inputs:t,backend:e}=r,{image:n}=t,o=e.makeOutput(n.shape,n.dtype),s=e.dataIdMap.get(n.dataId).id,i=e.dataIdMap.get(o.dataId).id,[a,u,l,c]=n.shape;return LV(s,a,u,l,c,i),o}var MV={kernelName:ba,backendName:"wasm",kernelFunc:iit,setupFunc:sit};var zV=se(rs);var ait=!1,BV=ue(ns,ait);var VV;function lit(r){VV=r.wasm.cwrap(os,null,["number","number","number","number","number","number","number"])}function uit(r){let{backend:t,inputs:e,attrs:n}=r,{varianceEpsilon:o}=n,{x:s,mean:i,variance:a,offset:u,scale:l}=e,c=t.dataIdMap.get(s.dataId).id,p=t.dataIdMap.get(i.dataId).id,m=t.dataIdMap.get(a.dataId).id,f=u!=null?t.dataIdMap.get(u.dataId).id:0,d=l!=null?t.dataIdMap.get(l.dataId).id:0,h=t.makeOutput(s.shape,s.dtype);if(y.sizeFromShape(s.shape)===0)return h;let g=t.dataIdMap.get(h.dataId).id;return VV(c,p,m,f,d,o,g),h}var GV={kernelName:os,backendName:"wasm",setupFunc:lit,kernelFunc:uit};var WV;function cit(r){WV=r.wasm.cwrap(Ii,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function pit(r){let{inputs:t,attrs:e,backend:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dilations:c,dataFormat:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=e,h=v.computeConv2DInfo(o.shape,s.shape,u,c,l,m),g=Du[f];if(g==null)throw new Error(`${f} activation not yet supported for FusedConv2D in the wasm backend.`);let x=n.dataIdMap.get(o.dataId).id,b=n.dataIdMap.get(s.dataId).id,w=h.outChannels,C=0;if(i!=null){let nt=n.dataIdMap.get(i.dataId);if(nt.shape.length!==1)throw new Error(`FusedConv2D only supports rank-1 bias but got rank ${nt.shape.length}.`);if(nt.shape[0]!==w)throw new Error(`FusedConv2D bias shape (${nt.shape}) does not match the number of output channels (${w})`);C=nt.id}let N=h.filterHeight,_=h.filterWidth,A=h.padInfo.top,$=h.padInfo.right,F=h.padInfo.bottom,P=h.padInfo.left,V=h.dilationHeight,G=h.dilationWidth,W=h.strideHeight,q=h.strideWidth,H=h.inChannels,j=h.padInfo.type==="SAME"?1:0,Y=h.batchSize,Z=h.inHeight,et=h.inWidth;if(p!=="NHWC")throw new Error(`wasm backend FusedConv2D does not support dataFormat:'${p}'. Please use 'NHWC'.`);let rt=n.makeOutput(h.outShape,"float32"),ot=n.dataIdMap.get(rt.dataId).id,at=a==null?0:n.dataIdMap.get(a.dataId).id;return WV(x,Y,Z,et,b,N,_,C,A,$,F,P,j,V,G,W,q,H,w,g,at,d||0,ot),rt}var UV={kernelName:Ii,backendName:"wasm",setupFunc:cit,kernelFunc:pit};var HV;function mit(r){HV=r.wasm.cwrap(Si,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function fit(r){let{inputs:t,attrs:e,backend:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dilations:c,dataFormat:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=e,h=v.computeConv2DInfo(o.shape,s.shape,u,c,l,m,!0),g=Du[f];if(g==null)throw new Error(`${f} activation not yet supported for FusedDepthwiseConv2D in the wasm backend.`);let x=n.dataIdMap.get(o.dataId).id,b=n.dataIdMap.get(s.dataId).id,w=h.outChannels,C=0;if(i!=null){let nt=n.dataIdMap.get(i.dataId);if(nt.shape.length!==1)throw new Error(`FusedDepthwiseConv2D only supports rank-1 bias but got rank ${nt.shape.length}.`);if(nt.shape[0]!==w)throw new Error(`FusedDepthwiseConv2D bias shape (${nt.shape}) does not match the number of output channels (${w})`);C=nt.id}let N=h.filterHeight,_=h.filterWidth,A=h.padInfo.top,$=h.padInfo.right,F=h.padInfo.bottom,P=h.padInfo.left,V=h.dilationHeight,G=h.dilationWidth,W=h.strideHeight,q=h.strideWidth,H=h.inChannels,j=h.padInfo.type==="SAME"?1:0,Y=h.batchSize,Z=h.inHeight,et=h.inWidth;if(p!=="NHWC")throw new Error(`wasm backend FusedDepthwiseConv2D does not support dataFormat:'${p}'. Please use 'NHWC'.`);let rt=n.makeOutput(h.outShape,"float32"),ot=n.dataIdMap.get(rt.dataId).id,at=a==null?0:n.dataIdMap.get(a.dataId).id;return HV(x,Y,Z,et,b,N,_,C,A,$,F,P,j,V,G,W,q,H,w,g,at,d||0,ot),rt}var qV={kernelName:Si,backendName:"wasm",setupFunc:mit,kernelFunc:fit};var KV;function dit(r){KV=r.wasm.cwrap(wa,null,["number","number","number","number","number","number","array","number"])}function hit(r){let{backend:t,inputs:e}=r,{params:n,indices:o}=e,[s,i,a,u]=ox.prepareAndValidate(n,o),l=t.makeOutput(s,n.dtype);if(i===0)return l;let c=o.shape,p=c[c.length-1],f=t.dataIdMap.get(n.dataId).id,h=t.dataIdMap.get(o.dataId).id,g=new Uint8Array(new Int32Array(u).buffer),x=t.dataIdMap.get(l.dataId).id;return KV(f,qt[n.dtype],h,i,p,a,g,x),l}var jV={kernelName:wa,backendName:"wasm",setupFunc:dit,kernelFunc:hit};var XV;function git(r){XV=r.wasm.cwrap("Gather",null,["number","number","array","number","number","number","array","number"])}function xit(r){let{backend:t,inputs:e,attrs:n}=r,{x:o,indices:s}=e,{axis:i,batchDims:a}=n,u=y.parseAxisParam(i,o.shape)[0],l=t.readSync(s.dataId),c=o.shape[u];for(let F=0;F=0,()=>`GatherV2: the index value ${P} is not in [0, ${c-1}]`)}let p=v.segment_util.collectGatherOpShapeInfo(o,s,u,a),m=ar({inputs:{x:o},attrs:{shape:[p.batchSize,p.outerSize,p.dimSize,p.sliceSize]},backend:t}),f=y.sizeFromShape(s.shape),d=ar({inputs:{x:s},attrs:{shape:[p.batchSize,f/p.batchSize]},backend:t}),h=[p.batchSize,p.outerSize,f/p.batchSize,p.sliceSize],g=t.makeOutput(h,o.dtype);if(y.sizeFromShape(o.shape)===0)return g;let x=m.shape.length-1,w=t.dataIdMap.get(m.dataId).id,N=t.dataIdMap.get(d.dataId).id,_=t.dataIdMap.get(g.dataId).id,A=new Uint8Array(new Int32Array(y.computeStrides(m.shape)).buffer),$=new Uint8Array(new Int32Array(y.computeStrides(h)).buffer);return XV(w,qt[o.dtype],A,x,N,p.batchSize,$,_),t.disposeData(m.dataId),t.disposeData(d.dataId),g.shape=p.outputShape,g}var YV={kernelName:ci,backendName:"wasm",setupFunc:git,kernelFunc:xit};var yit=!1,ZV=ue(Ca,yit,"bool");var bit=!1,JV=ue(ss,bit,"bool");var QV;function wit(r){QV=r.wasm.cwrap(is,null,["number","number","number","number"])}function Cit(r){let{inputs:{x:t},attrs:{alpha:e},backend:n}=r,o=n.dataIdMap.get(t.dataId).id,s=n.makeOutput(t.shape,"float32");if(y.sizeFromShape(t.shape)!==0){let i=n.dataIdMap.get(s.dataId).id;QV(o,qt[t.dtype],e,i)}return s}var tG={kernelName:is,backendName:"wasm",setupFunc:wit,kernelFunc:Cit};var Iit=!1,eG=ue(Na,Iit,"bool");var Sit=!1,rG=ue(Ta,Sit,"bool");var nG=se(as);var vit=!1,oG=ue(Ea,vit,"bool");var sG=se(_a);var Nit=!1,iG=ue(Aa,Nit,"bool");var Tit=!1,aG=ue(m1,Tit,"bool");var lG;function kit(r){lG=r.wasm.cwrap(ls,null,["number","number","number","number"])}function Eit(r){let{backend:t,inputs:e,attrs:n}=r,{reductionIndices:o,keepDims:s}=n,{x:i}=e,u=t.dataIdMap.get(i.dataId).id,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=bn(i,o,t);if(f){let w=t.dataIdMap.get(c.dataId).id;l=c,u=w}let d=l.shape.length;v.assertAxesAreInnerMostDims("max",p,d);let[h,g]=v.computeOutAndReduceShapes(l.shape,p),x=y.sizeFromShape(g),b=t.makeOutput(h,i.dtype);if(y.sizeFromShape(l.shape)!==0){let w=t.dataIdMap.get(b.dataId).id;lG(u,qt[i.dtype],x,w)}if(f&&t.disposeData(c.dataId),s){let w=v.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var uG={kernelName:ls,backendName:"wasm",setupFunc:kit,kernelFunc:Eit};var _it=!1,cG=ue(us,_it);var pG;function Ait(r){pG=r.wasm.cwrap(cs,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function $it(r){let{inputs:t,attrs:e,backend:n}=r,o=t.x,s=n.dataIdMap.get(o.dataId).id;y.assert(o.dtype==="float32",()=>`Error in MaxPool: only float32 input is supported. Got ${o.dtype}.`);let{filterSize:i,strides:a,pad:u,dimRoundingMode:l}=e,c=v.computePool2DInfo(o.shape,i,a,1,u,l),p=c.filterHeight,m=c.filterWidth,f=c.padInfo.top,d=c.padInfo.right,h=c.padInfo.bottom,g=c.padInfo.left,x=c.dilationHeight,b=c.dilationWidth,w=c.strideHeight,C=c.strideWidth,N=c.inChannels,_=c.outChannels;if(c.dataFormat!=="channelsLast")throw new Error(`wasm backend does not support dataFormat:'${c.dataFormat}'. Please use 'channelsLast'.`);let A=n.makeOutput(c.outShape,"float32"),$=n.dataIdMap.get(A.dataId).id;return pG(s,o.shape[0],o.shape[1],o.shape[2],p,m,f,d,h,g,x,b,w,C,N,_,$),A}var mG={kernelName:cs,backendName:"wasm",setupFunc:Ait,kernelFunc:$it};var fG;function Dit(r){fG=r.wasm.cwrap(ps,null,["number, number, number"])}function Rit(r){let{backend:t,inputs:e,attrs:n}=r,{axis:o,keepDims:s}=n,{x:i}=e,a=t.dataIdMap.get(i.dataId).id,u=a,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=bn(i,o,t),d=p;if(f){let C=t.dataIdMap.get(c.dataId).id;C!==a&&(l=c,u=C,d=v.getInnerMostAxes(d.length,l.shape.length))}v.assertAxesAreInnerMostDims("mean",d,l.shape.length);let[h,g]=v.computeOutAndReduceShapes(l.shape,d),x=y.sizeFromShape(g),b=l;l.dtype!=="float32"&&(b=ni({backend:t,inputs:{x:l},attrs:{dtype:"float32"}}),u=t.dataIdMap.get(b.dataId).id);let w=t.makeOutput(h,"float32");if(y.sizeFromShape(l.shape)!==0){let C=t.dataIdMap.get(w.dataId).id;fG(u,x,C)}if(f&&t.disposeData(c.dataId),s){let C=v.expandShapeToKeepDim(w.shape,m);w.shape=C}return l.dtype!=="float32"&&t.disposeData(b.dataId),w}var dG={kernelName:ps,backendName:"wasm",setupFunc:Dit,kernelFunc:Rit};var hG;function Fit(r){hG=r.wasm.cwrap(ms,null,["number","number","number","number"])}function Oit(r){let{backend:t,inputs:e,attrs:n}=r,{axis:o,keepDims:s}=n,{x:i}=e,a=t.dataIdMap.get(i.dataId).id,u=a,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=bn(i,o,t);if(f){let w=t.dataIdMap.get(c.dataId).id;w!==a&&(l=c,u=w)}let d=l.shape.length;v.assertAxesAreInnerMostDims("min",p,d);let[h,g]=v.computeOutAndReduceShapes(l.shape,p),x=y.sizeFromShape(g),b=t.makeOutput(h,l.dtype);if(y.sizeFromShape(l.shape)!==0){let w=t.dataIdMap.get(b.dataId).id;hG(u,qt[i.dtype],x,w)}if(f&&t.disposeData(c.dataId),s){let w=v.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var gG={kernelName:ms,backendName:"wasm",setupFunc:Fit,kernelFunc:Oit};var Pit=!1,xG=ue(fs,Pit);var Dk;(function(r){r[r.reflect=0]="reflect",r[r.symmetric=1]="symmetric"})(Dk||(Dk={}));var yG;function Lit(r){yG=r.wasm.cwrap(ds,null,["number","array","number","number","array","array","number","number"])}function Mit(r){let{inputs:{x:t},backend:e,attrs:{paddings:n,mode:o}}=r,s=n.map((d,h)=>d[0]+t.shape[h]+d[1]),i=e.dataIdMap.get(t.dataId).id,a=e.makeOutput(s,t.dtype),u=e.dataIdMap.get(a.dataId).id,l=new Uint8Array(new Int32Array(t.shape).buffer),c=n.map(d=>d[0]),p=n.map(d=>d[1]),m=new Uint8Array(new Int32Array(c).buffer),f=new Uint8Array(new Int32Array(p).buffer);return yG(i,l,t.shape.length,qt[t.dtype],m,f,Dk[o],u),a}var bG={kernelName:ds,backendName:"wasm",kernelFunc:Mit,setupFunc:Lit};var zit=!0,wG=ue(hs,zit);var CG=se(pi);function Dd(r,t){let e=new Int32Array(r.wasm.HEAPU8.buffer,t,4),n=e[0],o=e[1],s=e[2],i=e[3];return r.wasm._free(t),{pSelectedIndices:n,selectedSize:o,pSelectedScores:s,pValidOutputs:i}}var IG;function Bit(r){IG=r.wasm.cwrap(Ra,"number",["number","number","number","number","number"])}function Vit(r){let{backend:t,inputs:e,attrs:n}=r,{iouThreshold:o,maxOutputSize:s,scoreThreshold:i}=n,{boxes:a,scores:u}=e,l=t.dataIdMap.get(a.dataId).id,c=t.dataIdMap.get(u.dataId).id,p=IG(l,c,s,o,i),{pSelectedIndices:m,selectedSize:f,pSelectedScores:d,pValidOutputs:h}=Dd(t,p);return t.wasm._free(d),t.wasm._free(h),t.makeOutput([f],"int32",m)}var SG={kernelName:Ra,backendName:"wasm",setupFunc:Bit,kernelFunc:Vit};var vG;function Git(r){vG=r.wasm.cwrap(Fa,"number",["number","number","number","number","number","bool"])}function Wit(r){let{backend:t,inputs:e,attrs:n}=r,{iouThreshold:o,maxOutputSize:s,scoreThreshold:i,padToMaxOutputSize:a}=n,{boxes:u,scores:l}=e,c=t.dataIdMap.get(u.dataId).id,p=t.dataIdMap.get(l.dataId).id,m=vG(c,p,s,o,i,a),{pSelectedIndices:f,selectedSize:d,pSelectedScores:h,pValidOutputs:g}=Dd(t,m);t.wasm._free(h);let x=t.makeOutput([d],"int32",f),b=t.makeOutput([],"int32",g);return[x,b]}var NG={kernelName:Fa,backendName:"wasm",setupFunc:Git,kernelFunc:Wit};var TG;function Uit(r){TG=r.wasm.cwrap(Oa,"number",["number","number","number","number","number","number"])}function Hit(r){let{backend:t,inputs:e,attrs:n}=r,{iouThreshold:o,maxOutputSize:s,scoreThreshold:i,softNmsSigma:a}=n,{boxes:u,scores:l}=e,c=t.dataIdMap.get(u.dataId).id,p=t.dataIdMap.get(l.dataId).id,m=TG(c,p,s,o,i,a),{pSelectedIndices:f,selectedSize:d,pSelectedScores:h,pValidOutputs:g}=Dd(t,m);t.wasm._free(g);let x=t.makeOutput([d],"int32",f),b=t.makeOutput([d],"float32",h);return[x,b]}var kG={kernelName:Oa,backendName:"wasm",setupFunc:Uit,kernelFunc:Hit};var qit=!1,EG=ue(Da,qit,"bool");var _G;function Kit(r){_G=r.wasm.cwrap(gs,null,["number","number","number","number","number"])}function jit(r){let{inputs:t,backend:e,attrs:n}=r,{indices:o}=t,{dtype:s,depth:i,onValue:a,offValue:u}=n,l=e.makeOutput([...o.shape,i],s),c=e.dataIdMap.get(l.dataId).id,m=e.dataIdMap.get(o.dataId).id;return _G(m,i,a,u,c),l}var AG={kernelName:gs,backendName:"wasm",setupFunc:Kit,kernelFunc:jit};function Xit(r){let{inputs:{x:t},backend:e}=r,n=e.makeOutput(t.shape,t.dtype);return e.typedArrayFromHeap(n).fill(1),n}var $G={kernelName:mi,backendName:"wasm",kernelFunc:Xit};function Yit(r){let{inputs:t,backend:e,attrs:n}=r,{axis:o}=n;if(t.length===1)return uI({inputs:{input:t[0]},backend:e,attrs:{dim:o}});let s=t[0].shape,i=t[0].dtype;t.forEach(c=>{y.assertShapesMatch(s,c.shape,"All tensors passed to stack must have matching shapes"),y.assert(i===c.dtype,()=>"All tensors passed to stack must have matching dtypes")});let a=[],u=t.map(c=>{let p=uI({inputs:{input:c},backend:e,attrs:{dim:o}});return a.push(p),p}),l=_k({inputs:u,backend:e,attrs:{axis:o}});return a.forEach(c=>e.disposeData(c.dataId)),l}var DG={kernelName:fi,backendName:"wasm",kernelFunc:Yit};var RG;function Zit(r){RG=r.wasm.cwrap(xs,null,["number","array","number","number","array","array","number","number"])}function Jit(r){let{inputs:{x:t},backend:e,attrs:{paddings:n,constantValue:o}}=r,s=n.map((h,g)=>h[0]+t.shape[g]+h[1]);if(y.sizeFromShape(t.shape)===0)return $k({backend:e,attrs:{shape:s,value:o,dtype:t.dtype}});let i=e.dataIdMap.get(t.dataId).id,a=e.makeOutput(s,t.dtype),l=e.dataIdMap.get(a.dataId).id,c=new Uint8Array(new Int32Array(t.shape).buffer),p=n.map(h=>h[0]),m=n.map(h=>h[1]),f=new Uint8Array(new Int32Array(p).buffer),d=new Uint8Array(new Int32Array(m).buffer);return RG(i,c,t.shape.length,qt[t.dtype],f,d,o,l),a}var cI={kernelName:xs,backendName:"wasm",kernelFunc:Jit,setupFunc:Zit};var Qit=!1,FG=ue(ys,Qit);var OG;function tat(r){OG=r.wasm.cwrap(bs,null,["number","number","number"])}function eat(r){let{inputs:t,backend:e}=r,{x:n,alpha:o}=t,s=e.dataIdMap.get(n.dataId).id,i=e.dataIdMap.get(o.dataId).id,a=s,u=n,l=u;u.dtype!=="float32"&&(l=ni({backend:e,inputs:{x:n},attrs:{dtype:"float32"}}),a=e.dataIdMap.get(l.dataId).id);let c=e.makeOutput(n.shape,"float32"),p=e.dataIdMap.get(c.dataId).id;return OG(a,i,p),u.dtype!=="float32"&&e.disposeData(l.dataId),c}var PG={kernelName:bs,backendName:"wasm",setupFunc:tat,kernelFunc:eat};var LG;function rat(r){LG=r.wasm.cwrap(ws,null,["number","number","number","number"])}function nat(r){let{backend:t,inputs:e,attrs:n}=r,{axis:o,keepDims:s}=n,{x:i}=e,a=t.dataIdMap.get(i.dataId).id,u=a,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=bn(i,o,t),d=p;if(f){let w=t.dataIdMap.get(c.dataId).id;w!==a&&(l=c,u=w,d=v.getInnerMostAxes(d.length,l.shape.length))}v.assertAxesAreInnerMostDims("prod",d,l.shape.length);let[h,g]=v.computeOutAndReduceShapes(l.shape,d),x=y.sizeFromShape(g),b=t.makeOutput(h,l.dtype);if(y.sizeFromShape(l.shape)!==0){let w=t.dataIdMap.get(b.dataId).id;LG(u,x,qt[b.dtype],w)}if(f&&t.disposeData(c.dataId),s){let w=v.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var MG={kernelName:ws,backendName:"wasm",setupFunc:rat,kernelFunc:nat};var oat=r=>{let{backend:t,attrs:e}=r,{start:n,stop:o,step:s,dtype:i}=e,a=Ac(n,o,s,i),u=t.makeOutput([a.length],i);return t.typedArrayFromHeap(u).set(a),u},zG={kernelName:Ol,backendName:"wasm",kernelFunc:oat};var sat=!0,BG=ue(Qo,sat);var VG=se(Cs);var GG=se(vs);var WG;function iat(r){WG=r.wasm.cwrap(Ss,null,["number","number","number","number","number","number","number","number","number","number"])}function aat(r){let{backend:t,inputs:e,attrs:n}=r,{images:o}=e,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,[c,p,m,f]=o.shape,d=[c,u,l,f],h=t.dataIdMap.get(o.dataId),g;h.dtype!=="float32"&&(g=ni({backend:t,inputs:{x:o},attrs:{dtype:"float32"}}),h=t.dataIdMap.get(g.dataId));let x=h.id,b=t.makeOutput(d,"float32");if(y.sizeFromShape(o.shape)===0)return b;let w=t.dataIdMap.get(b.dataId).id;return WG(x,c,p,m,f,u,l,s?1:0,i?1:0,w),g!=null&&t.disposeData(g.dataId),b}var UG={kernelName:Ss,backendName:"wasm",setupFunc:iat,kernelFunc:aat};var HG;function lat(r){HG=r.wasm.cwrap(Is,null,["number","number","number","number","number","number","number","number","number","number"])}function uat(r){let{backend:t,inputs:e,attrs:n}=r,{images:o}=e,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,[c,p,m,f]=o.shape,d=[c,u,l,f],h=t.makeOutput(d,"float32");if(y.sizeFromShape(o.shape)===0)return h;let g=t.dataIdMap.get(o.dataId),x;g.dtype!=="float32"&&(x=ni({backend:t,inputs:{x:o},attrs:{dtype:"float32"}}),g=t.dataIdMap.get(x.dataId));let b=g.id,w=t.dataIdMap.get(h.dataId).id;return HG(b,c,p,m,f,u,l,s?1:0,i?1:0,w),x!=null&&t.disposeData(x.dataId),h}var qG={kernelName:Is,backendName:"wasm",setupFunc:lat,kernelFunc:uat};var KG;function cat(r){KG=r.wasm.cwrap(Ns,null,["number","array","number","array","number","number"])}function pat(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dims:s}=n,i=y.parseAxisParam(s,o.shape);if(o.shape.length===0)return jc({inputs:{x:o},backend:e});let a=e.makeOutput(o.shape,o.dtype),u=e.dataIdMap.get(o.dataId).id,l=e.dataIdMap.get(a.dataId).id,c=new Uint8Array(new Int32Array(i).buffer),p=new Uint8Array(new Int32Array(o.shape).buffer);KG(u,c,i.length,p,o.shape.length,l);let m=ar({inputs:{x:a},attrs:{shape:o.shape},backend:e});return e.disposeData(a.dataId),m}var jG={kernelName:Ns,backendName:"wasm",kernelFunc:pat,setupFunc:cat};var XG;function mat(r){XG=r.wasm.cwrap(qa,null,["number","number","number","number","number","number","number","number","array","number","number"])}function fat(r){let{inputs:t,backend:e,attrs:n}=r,{image:o}=t,{radians:s,fillValue:i,center:a}=n,u=e.makeOutput(o.shape,o.dtype),l=e.dataIdMap.get(o.dataId).id,c=e.dataIdMap.get(u.dataId).id,[p,m,f,d]=o.shape,[h,g]=v.getImageCenter(a,m,f),x=i===0,b=255,w=typeof i=="number"?[i,i,i,x?0:b]:[...i,b],C=new Uint8Array(new Int32Array(w).buffer);return XG(l,p,m,f,d,s,h,g,C,w.length,c),u}var YG={kernelName:qa,backendName:"wasm",kernelFunc:fat,setupFunc:mat};var ZG=se(Ts);var JG=se(ks);var QG;function dat(r){QG=r.wasm.cwrap(La,null,["number","number","number","number","number","number","array","number","number"])}function hat(r){let{backend:t,inputs:e,attrs:n}=r,{indices:o,updates:s}=e,{shape:i}=n,a=t.makeOutput(i,s.dtype);if(y.sizeFromShape(i)===0)return a;let{sliceRank:u,numUpdates:l,sliceSize:c,strides:p,outputSize:m}=lh.calculateShapes(s,o,i),d=t.dataIdMap.get(o.dataId).id,g=t.dataIdMap.get(s.dataId).id,x=new Uint8Array(new Int32Array(p).buffer),b=t.dataIdMap.get(a.dataId).id;return QG(d,g,qt[s.dtype],u,l,c,x,m,b),a}var tW={kernelName:La,backendName:"wasm",setupFunc:dat,kernelFunc:hat};var eW;function gat(r){eW=r.wasm.cwrap("SelectV2",null,["number","number","number","number","number"])}function xat(r){let{inputs:t,backend:e}=r,{condition:n,t:o,e:s}=t,i=e.dataIdMap.get(n.dataId).id,a=e.dataIdMap.get(o.dataId).id,u=e.dataIdMap.get(s.dataId).id,l=e.makeOutput(o.shape,o.dtype),c=e.dataIdMap.get(l.dataId).id,p=n.shape.length,m=o.shape.length,f=p===0||p>1||m===1?1:y.sizeFromShape(o.shape.slice(1));return eW(i,a,u,f,c),l}var rW={kernelName:hi,backendName:"wasm",kernelFunc:xat,setupFunc:gat};var nW;function yat(r){nW=r.wasm.cwrap(_s,null,["number","number"])}function bat(r){let{backend:t,inputs:{x:e}}=r,n=t.dataIdMap.get(e.dataId).id,o=t.makeOutput(e.shape,e.dtype),s=t.dataIdMap.get(o.dataId).id;return y.sizeFromShape(o.shape)===0||nW(n,s),o}var oW={kernelName:"Sigmoid",backendName:"wasm",setupFunc:yat,kernelFunc:bat};var sW=se(Es);var iW;function wat(r){iW=r.wasm.cwrap(Ds,null,["number","number","number","number"])}function Cat(r){let{backend:t,inputs:{logits:e},attrs:{dim:n}}=r,o=t.dataIdMap.get(e.dataId).id,s=t.makeOutput(e.shape,e.dtype),i=t.dataIdMap.get(s.dataId).id,a=e.shape[n],u=y.sizeFromShape(e.shape)/a;return y.sizeFromShape(s.shape)===0||iW(o,i,a,u),s}var aW={kernelName:Ds,backendName:"wasm",setupFunc:wat,kernelFunc:Cat};function Iat(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,paddings:i}=n,a=y.sizeFromShape(s),u=[[0,0]];u.push(...i);for(let _=1+s.length;_0?u+1:0;if(c<0)throw new Error(S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let p=o.shape.slice();p[0]=c;let m=e.dataIdMap.get(o.dataId).id,f=e.dataIdMap.get(s.dataId).id,d=e.dataIdMap.get(i.dataId).id,h=e.makeOutput(p,o.dtype),g=e.dataIdMap.get(h.dataId).id,x=e.makeOutput([4],"int32"),b=e.dataIdMap.get(x.dataId).id;rW(m,Ht[o.dtype],o.shape[0],f,d,g,b,t,0);let w=e.readSync(x.dataId),C;switch(w[0]){case 0:{C=S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage();break}case 1:{C=S.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage();break}case 2:C=S.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(w[1],w[2]);break;case 3:C=S.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(w[1],w[2],w[3]);break;default:C=""}if(e.disposeData(x.dataId),C)throw e.disposeData(h.dataId),new Error(C);return h}function uat(r){return aI(r,!0)}var nW={kernelName:Ol,backendName:"wasm",setupFunc:iI,kernelFunc:uat};function cat(r){return aI(r,!1)}var oW={kernelName:Pl,backendName:"wasm",setupFunc:iI,kernelFunc:cat};function pat(r){let{inputs:t,attrs:e,backend:n}=r,{x:o}=t,{numOrSizeSplits:s,axis:i}=e,a=y.parseAxisParam(i,o.shape)[0],u=S.prepareSplitSize(o,s,a),l=new Array(o.shape.length).fill(0),c=o.shape.slice();return u.map(p=>{let m=[...c];m[a]=p;let f=Po({inputs:{x:o},attrs:{begin:l,size:m},backend:n});return l[a]+=p,f})}var sW={kernelName:gi,backendName:"wasm",kernelFunc:pat};var iW=se(_s);var aW=se(Ll);var mat=!0,lW=ue(Ds,mat);var uW;function fat(r){uW=r.wasm.cwrap(uo,null,["number","number","number","number"])}function dat(r){let{backend:t,inputs:e,attrs:n}=r,{alpha:o}=n,{x:s}=e,i=t.dataIdMap.get(s.dataId).id,a=t.makeOutput(s.shape,s.dtype),u=t.dataIdMap.get(a.dataId).id;return uW(i,o,Ht[s.dtype],u),a}var cW={kernelName:uo,backendName:"wasm",setupFunc:fat,kernelFunc:dat};var pW;function hat(r){pW=r.wasm.cwrap(Va,null,["number","array","number","array","array","array","array","array","number","number"])}function gat(r){let{backend:t,inputs:e,attrs:n}=r,{x:o}=e,{begin:s,end:i,strides:a,beginMask:u,endMask:l,ellipsisMask:c,newAxisMask:p,shrinkAxisMask:m}=n,{finalShapeSparse:f,finalShape:d,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:w,strides:C}=Pe.sliceInfo(o.shape,s,i,a,u,l,c,p,m),N;if(h)N=ir({inputs:{x:o},backend:t,attrs:{shape:d}});else if(g||x){y.assert(o.shape.length>=1,()=>`Input must have rank at least 1, got: ${o.shape.length}`);let _=Pe.computeOutShape(b,w,C),A=Po({inputs:{x:o},backend:t,attrs:{begin:b,size:_}});N=ir({inputs:{x:A},backend:t,attrs:{shape:d}}),t.disposeData(A.dataId)}else{let _=t.makeOutput(f,"float32"),A=t.dataIdMap.get(o.dataId).id,$=new Uint8Array(new Int32Array(y.computeStrides(o.shape)).buffer),F=new Uint8Array(new Int32Array(b).buffer),P=new Uint8Array(new Int32Array(w).buffer),V=new Uint8Array(new Int32Array(C).buffer),G=new Uint8Array(new Int32Array(f).buffer),W=new Uint8Array(new Int32Array(y.computeStrides(f)).buffer),q=t.dataIdMap.get(_.dataId).id;pW(A,$,o.shape.length,F,P,V,G,W,f.length,q),N=ir({inputs:{x:_},backend:t,attrs:{shape:d}}),t.disposeData(_.dataId)}return N}var mW={kernelName:Va,backendName:"wasm",setupFunc:hat,kernelFunc:gat};function xat(r){let{backend:t,inputs:e,attrs:n}=r,{data:o,dataSplits:s}=e,{separator:i,nGramWidths:a,leftPad:u,rightPad:l,padWidth:c,preserveShortSequences:p}=n,m=t.readSync(o.dataId),f=t.readSync(s.dataId),[d,h]=Dc(m,f,i,a,u,l,c,p),g=t.makeOutput([d.length],"string"),x=t.dataIdMap.get(g.dataId);x.stringBytes=d;let b=t.makeOutput(s.shape,"int32");return t.typedArrayFromHeap(b).set(h),[g,b]}var fW={kernelName:Ml,backendName:"wasm",kernelFunc:xat};function yat(r){let{backend:t,inputs:e,attrs:n}=r,{input:o,delimiter:s}=e,{skipEmpty:i}=n,a=t.readSync(o.dataId),u=t.readSync(s.dataId),[l,c,p]=Rc(a,u[0],i),m=c.length,f=t.makeOutput([m,2],"int32");t.typedArrayFromHeap(f).set(l);let h=t.makeOutput([m],"string"),g=t.dataIdMap.get(h.dataId);g.stringBytes=c;let x=t.makeOutput([2],"int32");return t.typedArrayFromHeap(x).set(p),[f,h,x]}var dW={kernelName:zl,backendName:"wasm",kernelFunc:yat};function bat(r){let{backend:t,inputs:e,attrs:n}=r,{input:o}=e,{numBuckets:s}=n,i=t.readSync(o.dataId),a=Fc(i,s),u=t.makeOutput(o.shape,"int32");return t.typedArrayFromHeap(u).set(a),u}var hW={kernelName:Bl,backendName:"wasm",kernelFunc:bat};var wat=!0,gW=ue(Rs,wat);var xW;function Cat(r){xW=r.wasm.cwrap(As,null,["number","number","number","number"])}function Iat(r){let{backend:t,inputs:e,attrs:n}=r,{axis:o,keepDims:s}=n,{x:i}=e,a=t.dataIdMap.get(i.dataId).id,u=a,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=yn(i,o,t),d=p;if(f){let w=t.dataIdMap.get(c.dataId).id;w!==a&&(l=c,u=w,d=S.getInnerMostAxes(d.length,l.shape.length))}S.assertAxesAreInnerMostDims("sum",d,l.shape.length);let[h,g]=S.computeOutAndReduceShapes(l.shape,d),x=y.sizeFromShape(g),b=t.makeOutput(h,l.dtype);if(y.sizeFromShape(l.shape)!==0){let w=t.dataIdMap.get(b.dataId).id;xW(u,x,Ht[b.dtype],w)}if(f&&t.disposeData(c.dataId),s){let w=S.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var yW={kernelName:As,backendName:"wasm",setupFunc:Cat,kernelFunc:Iat};var bW=se(Fs);var wW=se(Os);var CW;function vat(r){CW=r.wasm.cwrap(Zn,null,["number","array","number","array","number","number"])}function Sat(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,s=e.dataIdMap.get(o.dataId).id,{reps:i}=n,a=new Array(o.shape.length);for(let m=0;m{let{x:n}=r,{k:o,sorted:s}=e,i=t.dataIdMap.get(n.dataId).id,a=new Uint8Array(new Int32Array(n.shape).buffer),u=n.shape.slice();u[u.length-1]=o;let l=t.makeOutput(u,n.dtype),c=t.dataIdMap.get(l.dataId).id,p=t.makeOutput(u,"int32"),m=t.dataIdMap.get(p.dataId).id;return vW(i,a,n.shape.length,Ht[n.dtype],o,s,c,m),[l,p]},SW={kernelName:Ga,backendName:"wasm",setupFunc:Nat,kernelFunc:kat};var NW;function Tat(r){NW=r.wasm.cwrap(Wa,null,["number","number","bool","number","number","number","number","number","number","array","number","array","number","number","number","number","number"])}function Eat(r){let{backend:t,inputs:e,attrs:n}=r,{image:o,transforms:s}=e,{interpolation:i,fillMode:a,fillValue:u,outputShape:l}=n,[c,p,m,f]=o.shape,[d,h]=l!=null?l:[p,m],g=[c,d,h,f],x=new Uint8Array(new Int32Array(y.computeStrides(o.shape)).buffer),b=new Uint8Array(new Int32Array(y.computeStrides(g)).buffer),w=t.makeOutput(g,o.dtype),C=t.dataIdMap.get(w.dataId).id,_=t.dataIdMap.get(o.dataId).id,$=t.dataIdMap.get(s.dataId).id,F=i==="nearest"?1:2,P;switch(a){case"constant":P=1;break;case"reflect":P=2;break;case"wrap":P=3;break;case"nearest":P=4;break;default:P=1;break}return NW(_,$,s.shape[0]>1,c,d,h,f,m,p,x,o.shape.length-1,b,g.length-1,F,P,u,C),w}var kW={kernelName:Wa,backendName:"wasm",setupFunc:Tat,kernelFunc:Eat};function _at(r){let{inputs:t,backend:e,attrs:n}=r,{value:o}=t,{axis:s}=n;s<0&&(s+=o.shape.length);let i=o.shape[s],a=o.shape.length,u=new Array(a-1),l=0;for(let f=0;f({dataId:f,dtype:d,shape:u}))}var TW={kernelName:xi,backendName:"wasm",kernelFunc:_at};function Aat(r){let{inputs:{x:t},backend:e}=r,n=e.makeOutput(t.shape,t.dtype);return e.typedArrayFromHeap(n).fill(0),n}var EW={kernelName:yi,backendName:"wasm",kernelFunc:Aat};var $at=[RB,FB,OB,LB,GB,UB,qB,jB,ZB,QB,tV,eV,nV,oV,iV,lV,uV,cV,mV,dV,gV,yV,wV,CV,IV,vV,SV,NV,TV,EV,_V,$V,RV,OV,LV,zV,BV,VV,MB,WV,UV,HV,qV,KV,jV,XV,YV,JV,QV,eG,nG,sG,iG,lG,uG,cG,mG,dG,gG,xG,bG,wG,CG,sI,vG,NG,TG,EG,_G,AG,$G,XB,RG,OG,LG,zG,BG,VG,WG,HG,KG,jG,JB,YG,ZG,QG,eW,nW,oW,sW,iW,aW,lW,cW,mW,fW,dW,hW,gW,yW,bW,wW,IW,SW,kW,BB,TW,EW];for(let r of $at)Pu(r);var ET=M();ET.registerFlag("WASM_HAS_SIMD_SUPPORT",async()=>{try{return WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,10,9,1,7,0,65,0,253,15,26,11]))}catch(r){return!1}});ET.registerFlag("WASM_HAS_MULTITHREAD_SUPPORT",async()=>{if(ET.get("IS_NODE"))return!1;try{return new MessageChannel().port1.postMessage(new SharedArrayBuffer(1)),WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,5,4,1,3,1,1,10,11,1,9,0,65,0,254,16,2,0,26,11]))}catch(r){return!1}});var FT=Sl(DW()),MW=Sl(FW()),OT=Sl(OW());var PW=FT.default||FT,Dat=OT.default||OT,sg=class extends Mo{constructor(t){super(),this.wasm=t,this.dataIdNextNumber=1,this.wasm.tfjs.initWithThreadsCount(BW),RT=this.wasm.tfjs.getThreadsCount(),this.dataIdMap=new ta(this,ho())}write(t,e,n){let o={id:this.dataIdNextNumber++};return this.move(o,t,e,n,1),o}numDataIds(){return this.dataIdMap.numDataIds()}async time(t){let e=y.now();return t(),{kernelMs:y.now()-e}}move(t,e,n,o,s){let i=this.dataIdNextNumber++;if(o==="string"){let c=e;this.dataIdMap.set(t,{id:i,stringBytes:c,shape:n,dtype:o,memoryOffset:null,refCount:s});return}let a=y.sizeFromShape(n),u=a*y.bytesPerElement(o),l=this.wasm._malloc(u);this.dataIdMap.set(t,{id:i,memoryOffset:l,shape:n,dtype:o,refCount:s}),this.wasm.tfjs.registerTensor(i,a,l),e!=null&&this.wasm.HEAPU8.set(new Uint8Array(e.buffer,e.byteOffset,u),l)}async read(t){return this.readSync(t)}readSync(t,e,n){let{memoryOffset:o,dtype:s,shape:i,stringBytes:a}=this.dataIdMap.get(t);if(s==="string")return(e==null||e===0)&&(n==null||n>=a.length)?a:a.slice(e,n);e=e||0,n=n||y.sizeFromShape(i);let u=y.bytesPerElement(s),l=this.wasm.HEAPU8.slice(o+e*u,o+n*u);return Fat(l.buffer,s)}disposeData(t,e=!1){if(this.dataIdMap.has(t)){let n=this.dataIdMap.get(t);if(n.refCount--,!e&&n.refCount>0)return!1;this.wasm._free(n.memoryOffset),this.wasm.tfjs.disposeData(n.id),this.dataIdMap.delete(t)}return!0}refCount(t){return this.dataIdMap.has(t)?this.dataIdMap.get(t).refCount:0}incRef(t){let e=this.dataIdMap.get(t);e!=null&&e.refCount++}floatPrecision(){return 32}getMemoryOffset(t){return this.dataIdMap.get(t).memoryOffset}dispose(){this.wasm.tfjs.dispose(),"PThread"in this.wasm&&this.wasm.PThread.terminateAllThreads(),this.wasm=null}memory(){return{unreliable:!1}}makeOutput(t,e,n){let o;if(n==null)o=this.write(null,t,e);else{let s=this.dataIdNextNumber++;o={id:s},this.dataIdMap.set(o,{id:s,memoryOffset:n,shape:t,dtype:e,refCount:1});let i=y.sizeFromShape(t);this.wasm.tfjs.registerTensor(s,i,n)}return{dataId:o,shape:t,dtype:e}}typedArrayFromHeap({shape:t,dtype:e,dataId:n}){let o=this.wasm.HEAPU8.buffer,{memoryOffset:s}=this.dataIdMap.get(n),i=y.sizeFromShape(t);switch(e){case"float32":return new Float32Array(o,s,i);case"int32":return new Int32Array(o,s,i);case"bool":return new Uint8Array(o,s,i);default:throw new Error(`Unknown dtype ${e}`)}}};function Rat(r){return(t,e)=>(y.fetch(r,{credentials:"same-origin"}).then(n=>{n.ok||t.env.a(`failed to load wasm binary file at '${r}'`),n.arrayBuffer().then(o=>{WebAssembly.instantiate(o,t).then(s=>{e(s.instance,s.module)})})}),{})}function LW(r,t,e){if(cI!=null)return cI;let n="tfjs-backend-wasm.wasm";return r&&t?n="tfjs-backend-wasm-threaded-simd.wasm":r&&(n="tfjs-backend-wasm-simd.wasm"),ng!=null&&ng[n]!=null?ng[n]:e+n}async function zW(){let[r,t]=await Promise.all([M().getAsync("WASM_HAS_SIMD_SUPPORT"),M().getAsync("WASM_HAS_MULTITHREAD_SUPPORT")]);return new Promise((e,n)=>{let o={};o.locateFile=(a,u)=>{if(a.endsWith(".worker.js")){let l=MW.wasmWorkerContents.replace(/\n/g,"\\n"),c=new Blob([l],{type:"application/javascript"});return URL.createObjectURL(c)}return a.endsWith(".wasm")?LW(r,t,rg!=null?rg:u):u+a},PT&&(o.instantiateWasm=Rat(LW(r,t,rg!=null?rg:"")));let s=!1;o.onAbort=()=>{if(s||og)return;og=!0,n({message:"Make sure the server can serve the `.wasm` file relative to the bundled js file. For more details see https://github.com/tensorflow/tfjs/blob/master/tfjs-backend-wasm/README.md#using-bundlers"})};let i;t&&r&&cI==null?(o.mainScriptUrlOrBlob=new Blob(["var WasmBackendModuleThreadedSimd = "+PW.toString()],{type:"text/javascript"}),i=PW(o)):i=Dat(o),i.then(a=>{s=!0,og=!1;let u=null;a.tfjs={init:a.cwrap("init",null,[]),initWithThreadsCount:a.cwrap("init_with_threads_count",null,["number"]),getThreadsCount:a.cwrap("get_threads_count","number",[]),registerTensor:a.cwrap("register_tensor",null,["number","number","number"]),disposeData:a.cwrap("dispose_data",u,["number"]),dispose:a.cwrap("dispose",u,[])},e({wasm:a})}).catch(n)})}function Fat(r,t){switch(t){case"float32":return new Float32Array(r);case"int32":return new Int32Array(r);case"bool":return new Uint8Array(r);default:throw new Error(`Unknown dtype ${t}`)}}var Oat=["tfjs-backend-wasm.wasm","tfjs-backend-wasm-simd.wasm","tfjs-backend-wasm-threaded-simd.wasm"],cI=null,rg=null,ng={},og=!1,PT=!1;function Pat(r,t=!1){if(MS("setWasmPath has been deprecated in favor of setWasmPaths and will be removed in a future release."),og)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPath()` before you call `tf.setBackend()` or `tf.ready()`");cI=r,PT=t}function Lat(r,t=!1){if(og)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPaths()` before you call `tf.setBackend()` or `tf.ready()`");if(typeof r=="string")rg=r;else{ng=r;let e=Oat.filter(n=>ng[n]==null);if(e.length>0)throw new Error(`There were no entries found for the following binaries: ${e.join(",")}. Please either call setWasmPaths with a map providing a path for each binary, or with a string indicating the directory where all the binaries can be found.`)}PT=t}var BW=-1,RT=-1;function Mat(r){BW=r}function zat(){if(RT===-1)throw new Error("WASM backend not initialized.");return RT}var Bat="3.21.0";var Vat=2;jp("wasm",async()=>{let{wasm:r}=await zW();return new sg(r)},Vat);var Gat="3.21.0",Wat="3.21.0",Uat="3.21.0",Hat="3.21.0",qat="3.21.0",Kat="3.21.0",jat="3.21.0",Xat="3.21.0",Yat={tfjs:Gat,"tfjs-core":Wat,"tfjs-data":Uat,"tfjs-layers":Hat,"tfjs-converter":qat,"tfjs-backend-cpu":Kat,"tfjs-backend-webgl":jat,"tfjs-backend-wasm":Xat};export{oi as Abs,ra as Acos,na as Acosh,uu as AdadeltaOptimizer,cu as AdagradOptimizer,pu as AdamOptimizer,mu as AdamaxOptimizer,Yn as Add,Vo as AddN,oa as All,sa as Any,Go as ArgMax,Nl as ArgMin,ia as Asin,aa as Asinh,la as Atan,ca as Atan2,ua as Atanh,Wo as AvgPool,kl as AvgPool3D,lp as AvgPool3DGrad,ap as AvgPoolGrad,sg as BackendWasm,Uo as BatchMatMul,si as BatchToSpaceND,up as Bincount,cp as BroadcastArgs,i1 as BroadcastTo,yb as Callback,$y as CallbackList,io as Cast,Ho as Ceil,ao as ClipByValue,pp as Complex,Tl as ComplexAbs,ii as Concat,qo as Conv2D,mp as Conv2DBackpropFilter,Ko as Conv2DBackpropInput,El as Conv3D,fp as Conv3DBackpropFilterV2,dp as Conv3DBackpropInputV2,jo as Cos,Xo as Cosh,ma as CropAndResize,pa as Cumprod,Yo as Cumsum,Ry as CustomCallback,ta as DataStorage,hp as DenseBincount,fa as DepthToSpace,Zo as DepthwiseConv2dNative,gp as DepthwiseConv2dNativeBackpropFilter,xp as DepthwiseConv2dNativeBackpropInput,yp as Diag,_l as Dilation2D,Hd as Dilation2DBackpropFilter,Ud as Dilation2DBackpropInput,eS as ENV,bb as EarlyStopping,bp as Einsum,Qo as Elu,wp as EluGrad,Gd as Environment,ha as Equal,da as Erf,ts as Exp,ai as ExpandDims,ga as Expm1,Cp as FFT,Al as Fill,xa as FlipLeftRight,es as Floor,rs as FloorDiv,qd as FromPixels,ns as FusedBatchNorm,wi as FusedConv2D,Ci as FusedDepthwiseConv2D,Bc as GPGPUContext,ya as GatherNd,li as GatherV2,$h as GraphModel,ba as Greater,os as GreaterEqual,Dy as History,Ip as IFFT,lo as Identity,vp as Imag,ye as InputSpec,wa as IsFinite,Ca as IsInf,Ia as IsNan,Mo as KernelBackend,$l as LRN,Np as LRNGrad,gh as LayerVariable,Mn as LayersModel,ss as LeakyRelu,va as Less,Sa as LessEqual,Sp as LinSpace,is as Log,Na as Log1p,l1 as LogSoftmax,ka as LogicalAnd,Ta as LogicalNot,Ea as LogicalOr,a1 as LogicalXor,rlt as LowerBound,Eu as MathBackendWebGL,as as Max,us as MaxPool,Dl as MaxPool3D,Tp as MaxPool3DGrad,kp as MaxPoolGrad,Ep as MaxPoolWithArgmax,ls as Maximum,cs as Mean,ps as Min,ms as Minimum,fs as MirrorPad,_a as Mod,fu as MomentumOptimizer,_p as Multinomial,ds as Multiply,ui as Neg,$a as NonMaxSuppressionV3,Da as NonMaxSuppressionV4,Ra as NonMaxSuppressionV5,Aa as NotEqual,IS as OP_SCOPE_SUFFIX,hs as OneHot,ci as OnesLike,Gr as Optimizer,Vs as OptimizerConstructors,pi as Pack,gs as PadV2,nlt as Pool,xs as Pow,ys as Prelu,bs as Prod,du as RMSPropOptimizer,Nn as RNN,Ap as RaggedGather,$p as RaggedTensorToTensor,Rl as Range,mS as Rank,Dp as Real,Jo as RealDiv,Fa as Reciprocal,Xe as Reduction,ws as Relu,vs as Relu6,mi as Reshape,Is as ResizeBilinear,Fp as ResizeBilinearGrad,Cs as ResizeNearestNeighbor,Rp as ResizeNearestNeighborGrad,Ss as Reverse,Ua as RotateWithOffset,Ns as Round,ks as Rsqrt,Mi as SGDOptimizer,Oa as ScatterNd,Op as SearchSorted,fi as Select,Pa as Selu,Ui as Sequential,Es as Sigmoid,Ma as Sign,Ts as Sin,La as Sinh,di as Slice,$s as Softmax,za as Softplus,hi as SpaceToBatchND,Fl as SparseFillEmptyRows,Ba as SparseReshape,Ol as SparseSegmentMean,Pl as SparseSegmentSum,Pp as SparseToDense,gi as SplitV,_s as Sqrt,Ll as Square,Ds as SquaredDifference,uo as Step,Va as StridedSlice,Ml as StringNGrams,zl as StringSplit,Bl as StringToHashBucketFast,Rs as Sub,As as Sum,Jr as SymbolicTensor,Fs as Tan,Os as Tanh,Ft as Tensor,pe as TensorBuffer,Zn as Tile,Ga as TopK,Wa as Transform,Jn as Transpose,Lp as Unique,xi as Unpack,Vl as UnsortedSegmentSum,olt as UpperBound,Ha as Variable,yi as ZerosLike,bi as _FusedMatMul,Ee as abs,rx as acos,nx as acosh,X as add,DE as addN,Yp as all,Hu as any,Ei as argMax,ox as argMin,sx as asin,ix as asinh,ax as atan,lx as atan2,ux as atanh,jl as avgPool,px as avgPool3d,pE as backend,S as backend_util,OE as basicLSTMCell,Ai as batchNorm,mx as batchNorm2d,fx as batchNorm3d,dx as batchNorm4d,Xl as batchToSpaceND,hx as bincount,Uj as booleanMaskAsync,LE as broadcastArgs,$i as broadcastTo,zr as broadcast_util,Jg as browser,wt as buffer,NZ as callbacks,J as cast,gx as ceil,Cr as clipByValue,sn as clone,bn as complex,ne as concat,xx as concat1d,yx as concat2d,bx as concat3d,wx as concat4d,G$ as constraints,Jp as conv1d,Cn as conv2d,tm as conv2dTranspose,Cx as conv3d,vx as conv3dTranspose,plt as copyRegisteredKernels,Yl as cos,em as cosh,ch as cosineWindow,ju as cumprod,rm as cumsum,ln as customGrad,vR as data,ME as denseBincount,MS as deprecationWarn,Sx as depthToSpace,Di as depthwiseConv2d,_Z as deregisterOp,Hl as device_util,zE as diag,Nx as dilation2d,ept as disableDeprecationWarnings,St as dispose,rpt as disposeVariables,pt as div,kx as divNoNan,Tx as dot,n0 as dropout,BE as einsum,Ri as elu,tpt as enableDebugMode,Qct as enableProdMode,o0 as enclosingPowerOfTwo,ho as engine,M as env,Ar as equal,Ex as erf,_x as euclideanNorm,er as exp,gr as expandDims,Ax as expm1,Yu as eye,su as fft,go as fill,lpt as findBackend,upt as findBackendFactory,Fi as floor,Xp as floorDiv,sM as forceHalfFloat,au as fused,Oi as gather,Qj as gatherND,Qg as gather_util,ipt as getBackend,oS as getGradient,jd as getKernel,Fg as getKernelsForBackend,zat as getThreadsCount,eT as gpgpu_util,aK as grad,lK as grads,He as greater,Fn as greaterEqual,Za as ifft,Kl as imag,lu as image,r6 as inTopKAsync,W$ as initializers,$0 as input,Er as io,gm as irfft,$x as isFinite,Dx as isInf,Rx as isNaN,De as keep,Wr as kernel_impls,CD as layers,Zl as leakyRelu,nm as less,On as lessEqual,i0 as linalg,WE as linspace,I7 as loadGraphModel,v7 as loadGraphModelSync,O8 as loadLayersModel,Fx as localResponseNormalization,Ir as log,Jl as log1p,Lx as logSigmoid,om as logSoftmax,sm as logSumExp,Dr as logicalAnd,Ql as logicalNot,im as logicalOr,Mx as logicalXor,rX as losses,UE as lowerBound,Lt as matMul,fE as math,Br as max,tu as maxPool,Bx as maxPool3d,HE as maxPoolWithArgmax,In as maximum,Se as mean,nh as memory,qE as meshgrid,ID as metrics,Xu as min,Pi as minimum,Vx as mirrorPad,Gx as mod,R8 as model,vD as models,Zu as moments,qj as movingAverage,R as mul,KE as multiRNNCell,jE as multinomial,Ut as neg,ph as nextFrame,Ya as norm,zs as notEqual,ki as oneHot,lr as ones,xr as onesLike,k as op,XE as outerProduct,un as pad,YE as pad1d,ZE as pad2d,JE as pad3d,QE as pad4d,Wx as pool,an as pow,ru as prelu,Kg as print,Ux as prod,npt as profile,t_ as raggedGather,e_ as raggedTensorToTensor,r_ as rand,b_ as randomGamma,tc as randomNormal,w_ as randomStandardNormal,Li as randomUniform,nu as range,spt as ready,Xa as real,Xx as reciprocal,jp as registerBackend,P8 as registerCallbackConstructor,c1 as registerGradient,Pu as registerKernel,EZ as registerOp,SD as regularizers,Rr as relu,am as relu6,apt as removeBackend,D as reshape,ur as reverse,C_ as reverse1d,I_ as reverse2d,v_ as reverse3d,S_ as reverse4d,iu as rfft,lm as round,um as rsqrt,mt as scalar,jj as scatterND,oh as scatter_util,ah as searchSorted,cm as selu,pm as separableConv2d,F8 as sequential,Q as serialization,G4 as setBackend,cpt as setPlatform,Mat as setThreadsCount,Pat as setWasmPath,Lat as setWasmPaths,hk as setWebGLContext,N_ as setdiff1dAsync,Xr as sigmoid,Yx as sign,eX as signal,mm as sin,fm as sinh,Dt as slice,dm as slice1d,uh as slice2d,hm as slice3d,ec as slice4d,Pe as slice_util,ou as softmax,Ms as softplus,eu as spaceToBatchND,nX as sparse,Zj as sparseToDense,tX as spectral,cr as split,ve as sqrt,Mt as square,xm as squaredDifference,Pn as squeeze,rr as stack,yo as step,Zx as stridedSlice,oX as string,ct as sub,ft as sum,Gu as sumOutType,Jx as tan,_i as tanh,wr as tensor,Le as tensor1d,Bs as tensor2d,Zg as tensor3d,k_ as tensor4d,T_ as tensor5d,E_ as tensor6d,fo as tensor_util,AE as test_util,B as tidy,$r as tile,opt as time,Qx as topk,ic as train,Ot as transpose,ym as truncatedNormal,ty as unique,clt as unregisterGradient,ult as unregisterKernel,bm as unsortedSegmentSum,vr as unstack,or as upcastType,__ as upperBound,y as util,uK as valueAndGrad,cK as valueAndGrads,ey as variable,Ox as variableGrads,Yat as version,nR as version_converter,$E as version_core,Wm as version_layers,Bat as version_wasm,oM as version_webgl,oTe as webgl,cd as webgl_util,_e as where,ny as whereAsync,Ne as zeros,It as zerosLike}; + ${o.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=t.dataIdMap.get(n.dataId).id,a=t.dataIdMap.get(o.dataId).id,u=t.dataIdMap.get(s.dataId).id,l=n.shape[0],c=y.sizeFromShape(s.shape),p=t.makeOutput([l,c],n.dtype),m=t.dataIdMap.get(p.dataId).id,f=t.makeOutput([c],s.dtype),d=t.dataIdMap.get(f.dataId).id,h=t.makeOutput([3],"int32"),g=t.dataIdMap.get(h.dataId).id;pW(i,a,u,l,m,d,g);let x=t.readSync(h.dataId),b;switch(x[0]){case 0:{b=v.getSparseReshapeMultipleNegativeOneOutputDimErrorMessage(x[1],x[2]);break}case 1:{b=v.getSparseReshapeNegativeOutputDimErrorMessage(x[1],x[2]);break}case 2:b=v.getSparseReshapeEmptyTensorZeroOutputDimErrorMessage();break;case 3:{let w=Array.from(t.readSync(o.dataId)),C=Array.from(t.readSync(f.dataId));b=v.getSparseReshapeInputOutputMultipleErrorMessage(w,C);break}case 4:{let w=Array.from(t.readSync(o.dataId)),C=Array.from(t.readSync(f.dataId));b=v.getSparseReshapeInputOutputMismatchErrorMessage(w,C);break}default:b=""}if(t.disposeData(h.dataId),b)throw t.disposeData(p.dataId),t.disposeData(f.dataId),new Error(b);return[p,f]}var mW={kernelName:Ga,backendName:"wasm",setupFunc:Nat,kernelFunc:Tat};var fW;function pI(r){fW=r.wasm.cwrap("SparseSegmentReduction",null,["number","number","number","number","number","number","number","number","number"])}function mI(r,t){let{backend:e,inputs:n}=r,{data:o,indices:s,segmentIds:i}=n,a=s.shape[0],u=e.readSync(i.dataId,a-1,a)[0],c=a>0?u+1:0;if(c<0)throw new Error(v.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let p=o.shape.slice();p[0]=c;let m=e.dataIdMap.get(o.dataId).id,f=e.dataIdMap.get(s.dataId).id,d=e.dataIdMap.get(i.dataId).id,h=e.makeOutput(p,o.dtype),g=e.dataIdMap.get(h.dataId).id,x=e.makeOutput([4],"int32"),b=e.dataIdMap.get(x.dataId).id;fW(m,qt[o.dtype],o.shape[0],f,d,g,b,t,0);let w=e.readSync(x.dataId),C;switch(w[0]){case 0:{C=v.getSparseSegmentReductionNegativeSegmentIdsErrorMessage();break}case 1:{C=v.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage();break}case 2:C=v.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(w[1],w[2]);break;case 3:C=v.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(w[1],w[2],w[3]);break;default:C=""}if(e.disposeData(x.dataId),C)throw e.disposeData(h.dataId),new Error(C);return h}function kat(r){return mI(r,!0)}var dW={kernelName:Ll,backendName:"wasm",setupFunc:pI,kernelFunc:kat};function Eat(r){return mI(r,!1)}var hW={kernelName:Ml,backendName:"wasm",setupFunc:pI,kernelFunc:Eat};function _at(r){let{inputs:t,attrs:e,backend:n}=r,{x:o}=t,{numOrSizeSplits:s,axis:i}=e,a=y.parseAxisParam(i,o.shape)[0],u=v.prepareSplitSize(o,s,a),l=new Array(o.shape.length).fill(0),c=o.shape.slice();return u.map(p=>{let m=[...c];m[a]=p;let f=Lo({inputs:{x:o},attrs:{begin:l,size:m},backend:n});return l[a]+=p,f})}var gW={kernelName:yi,backendName:"wasm",kernelFunc:_at};var xW=se(As);var yW=se(zl);var Aat=!0,bW=ue(Rs,Aat);var wW;function $at(r){wW=r.wasm.cwrap(po,null,["number","number","number","number"])}function Dat(r){let{backend:t,inputs:e,attrs:n}=r,{alpha:o}=n,{x:s}=e,i=t.dataIdMap.get(s.dataId).id,a=t.makeOutput(s.shape,s.dtype),u=t.dataIdMap.get(a.dataId).id;return wW(i,o,qt[s.dtype],u),a}var CW={kernelName:po,backendName:"wasm",setupFunc:$at,kernelFunc:Dat};var IW;function Rat(r){IW=r.wasm.cwrap(Wa,null,["number","array","number","array","array","array","array","array","number","number"])}function Fat(r){let{backend:t,inputs:e,attrs:n}=r,{x:o}=e,{begin:s,end:i,strides:a,beginMask:u,endMask:l,ellipsisMask:c,newAxisMask:p,shrinkAxisMask:m}=n,{finalShapeSparse:f,finalShape:d,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:w,strides:C}=Le.sliceInfo(o.shape,s,i,a,u,l,c,p,m),N;if(h)N=ar({inputs:{x:o},backend:t,attrs:{shape:d}});else if(g||x){y.assert(o.shape.length>=1,()=>`Input must have rank at least 1, got: ${o.shape.length}`);let _=Le.computeOutShape(b,w,C),A=Lo({inputs:{x:o},backend:t,attrs:{begin:b,size:_}});N=ar({inputs:{x:A},backend:t,attrs:{shape:d}}),t.disposeData(A.dataId)}else{let _=t.makeOutput(f,"float32"),A=t.dataIdMap.get(o.dataId).id,$=new Uint8Array(new Int32Array(y.computeStrides(o.shape)).buffer),F=new Uint8Array(new Int32Array(b).buffer),P=new Uint8Array(new Int32Array(w).buffer),V=new Uint8Array(new Int32Array(C).buffer),G=new Uint8Array(new Int32Array(f).buffer),W=new Uint8Array(new Int32Array(y.computeStrides(f)).buffer),q=t.dataIdMap.get(_.dataId).id;IW(A,$,o.shape.length,F,P,V,G,W,f.length,q),N=ar({inputs:{x:_},backend:t,attrs:{shape:d}}),t.disposeData(_.dataId)}return N}var SW={kernelName:Wa,backendName:"wasm",setupFunc:Rat,kernelFunc:Fat};function Oat(r){let{backend:t,inputs:e,attrs:n}=r,{data:o,dataSplits:s}=e,{separator:i,nGramWidths:a,leftPad:u,rightPad:l,padWidth:c,preserveShortSequences:p}=n,m=t.readSync(o.dataId),f=t.readSync(s.dataId),[d,h]=Dc(m,f,i,a,u,l,c,p),g=t.makeOutput([d.length],"string"),x=t.dataIdMap.get(g.dataId);x.stringBytes=d;let b=t.makeOutput(s.shape,"int32");return t.typedArrayFromHeap(b).set(h),[g,b]}var vW={kernelName:Bl,backendName:"wasm",kernelFunc:Oat};function Pat(r){let{backend:t,inputs:e,attrs:n}=r,{input:o,delimiter:s}=e,{skipEmpty:i}=n,a=t.readSync(o.dataId),u=t.readSync(s.dataId),[l,c,p]=Rc(a,u[0],i),m=c.length,f=t.makeOutput([m,2],"int32");t.typedArrayFromHeap(f).set(l);let h=t.makeOutput([m],"string"),g=t.dataIdMap.get(h.dataId);g.stringBytes=c;let x=t.makeOutput([2],"int32");return t.typedArrayFromHeap(x).set(p),[f,h,x]}var NW={kernelName:Vl,backendName:"wasm",kernelFunc:Pat};function Lat(r){let{backend:t,inputs:e,attrs:n}=r,{input:o}=e,{numBuckets:s}=n,i=t.readSync(o.dataId),a=Fc(i,s),u=t.makeOutput(o.shape,"int32");return t.typedArrayFromHeap(u).set(a),u}var TW={kernelName:Gl,backendName:"wasm",kernelFunc:Lat};var Mat=!0,kW=ue(Fs,Mat);var EW;function zat(r){EW=r.wasm.cwrap($s,null,["number","number","number","number"])}function Bat(r){let{backend:t,inputs:e,attrs:n}=r,{axis:o,keepDims:s}=n,{x:i}=e,a=t.dataIdMap.get(i.dataId).id,u=a,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=bn(i,o,t),d=p;if(f){let w=t.dataIdMap.get(c.dataId).id;w!==a&&(l=c,u=w,d=v.getInnerMostAxes(d.length,l.shape.length))}v.assertAxesAreInnerMostDims("sum",d,l.shape.length);let[h,g]=v.computeOutAndReduceShapes(l.shape,d),x=y.sizeFromShape(g),b=t.makeOutput(h,l.dtype);if(y.sizeFromShape(l.shape)!==0){let w=t.dataIdMap.get(b.dataId).id;EW(u,x,qt[b.dtype],w)}if(f&&t.disposeData(c.dataId),s){let w=v.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var _W={kernelName:$s,backendName:"wasm",setupFunc:zat,kernelFunc:Bat};var AW=se(Os);var $W=se(Ps);var DW;function Vat(r){DW=r.wasm.cwrap(Jn,null,["number","array","number","array","number","number"])}function Gat(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,s=e.dataIdMap.get(o.dataId).id,{reps:i}=n,a=new Array(o.shape.length);for(let m=0;m{let{x:n}=r,{k:o,sorted:s}=e,i=t.dataIdMap.get(n.dataId).id,a=new Uint8Array(new Int32Array(n.shape).buffer),u=n.shape.slice();u[u.length-1]=o;let l=t.makeOutput(u,n.dtype),c=t.dataIdMap.get(l.dataId).id,p=t.makeOutput(u,"int32"),m=t.dataIdMap.get(p.dataId).id;return FW(i,a,n.shape.length,qt[n.dtype],o,s,c,m),[l,p]},OW={kernelName:Ua,backendName:"wasm",setupFunc:Wat,kernelFunc:Uat};var PW;function Hat(r){PW=r.wasm.cwrap(Ha,null,["number","number","bool","number","number","number","number","number","number","array","number","array","number","number","number","number","number"])}function qat(r){let{backend:t,inputs:e,attrs:n}=r,{image:o,transforms:s}=e,{interpolation:i,fillMode:a,fillValue:u,outputShape:l}=n,[c,p,m,f]=o.shape,[d,h]=l!=null?l:[p,m],g=[c,d,h,f],x=new Uint8Array(new Int32Array(y.computeStrides(o.shape)).buffer),b=new Uint8Array(new Int32Array(y.computeStrides(g)).buffer),w=t.makeOutput(g,o.dtype),C=t.dataIdMap.get(w.dataId).id,_=t.dataIdMap.get(o.dataId).id,$=t.dataIdMap.get(s.dataId).id,F=i==="nearest"?1:2,P;switch(a){case"constant":P=1;break;case"reflect":P=2;break;case"wrap":P=3;break;case"nearest":P=4;break;default:P=1;break}return PW(_,$,s.shape[0]>1,c,d,h,f,m,p,x,o.shape.length-1,b,g.length-1,F,P,u,C),w}var LW={kernelName:Ha,backendName:"wasm",setupFunc:Hat,kernelFunc:qat};function Kat(r){let{inputs:t,backend:e,attrs:n}=r,{value:o}=t,{axis:s}=n;s<0&&(s+=o.shape.length);let i=o.shape[s],a=o.shape.length,u=new Array(a-1),l=0;for(let f=0;f({dataId:f,dtype:d,shape:u}))}var MW={kernelName:bi,backendName:"wasm",kernelFunc:Kat};function jat(r){let{inputs:{x:t},backend:e}=r,n=e.makeOutput(t.shape,t.dtype);return e.typedArrayFromHeap(n).fill(0),n}var zW={kernelName:wi,backendName:"wasm",kernelFunc:jat};var Xat=[UB,HB,qB,jB,QB,eV,nV,sV,lV,cV,pV,mV,dV,hV,xV,bV,wV,CV,SV,NV,kV,_V,$V,DV,RV,FV,OV,PV,MV,zV,BV,GV,UV,qV,jV,YV,ZV,JV,XB,tG,eG,rG,nG,oG,sG,iG,aG,uG,cG,mG,dG,gG,xG,bG,wG,CG,SG,NG,kG,EG,AG,$G,DG,cI,FG,PG,MG,zG,BG,VG,GG,iV,UG,qG,jG,YG,ZG,JG,tW,rW,oW,sW,uV,aW,lW,cW,mW,dW,hW,gW,xW,yW,bW,CW,SW,vW,NW,TW,kW,_W,AW,$W,RW,OW,LW,ZB,MW,zW];for(let r of Xat)Lu(r);var Rk=z();Rk.registerFlag("WASM_HAS_SIMD_SUPPORT",async()=>{try{return WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,10,9,1,7,0,65,0,253,15,26,11]))}catch(r){return!1}});Rk.registerFlag("WASM_HAS_MULTITHREAD_SUPPORT",async()=>{if(Rk.get("IS_NODE"))return!1;try{return new MessageChannel().port1.postMessage(new SharedArrayBuffer(1)),WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,5,4,1,3,1,1,10,11,1,9,0,65,0,254,16,2,0,26,11]))}catch(r){return!1}});var zk=Tl(WW()),XW=Tl(HW()),Bk=Tl(qW());var KW=zk.default||zk,Yat=Bk.default||Bk,cg=class extends zo{constructor(t){super(),this.wasm=t,this.dataIdNextNumber=1,this.wasm.tfjs.initWithThreadsCount(ZW),Mk=this.wasm.tfjs.getThreadsCount(),this.dataIdMap=new ra(this,Pn())}write(t,e,n){let o={id:this.dataIdNextNumber++};return this.move(o,t,e,n,1),o}numDataIds(){return this.dataIdMap.numDataIds()}async time(t){let e=y.now();return t(),{kernelMs:y.now()-e}}move(t,e,n,o,s){let i=this.dataIdNextNumber++;if(o==="string"){let c=e;this.dataIdMap.set(t,{id:i,stringBytes:c,shape:n,dtype:o,memoryOffset:null,refCount:s});return}let a=y.sizeFromShape(n),u=a*y.bytesPerElement(o),l=this.wasm._malloc(u);this.dataIdMap.set(t,{id:i,memoryOffset:l,shape:n,dtype:o,refCount:s}),this.wasm.tfjs.registerTensor(i,a,l),e!=null&&this.wasm.HEAPU8.set(new Uint8Array(e.buffer,e.byteOffset,u),l)}async read(t){return this.readSync(t)}readSync(t,e,n){let{memoryOffset:o,dtype:s,shape:i,stringBytes:a}=this.dataIdMap.get(t);if(s==="string")return(e==null||e===0)&&(n==null||n>=a.length)?a:a.slice(e,n);e=e||0,n=n||y.sizeFromShape(i);let u=y.bytesPerElement(s),l=this.wasm.HEAPU8.slice(o+e*u,o+n*u);return Jat(l.buffer,s)}disposeData(t,e=!1){if(this.dataIdMap.has(t)){let n=this.dataIdMap.get(t);if(n.refCount--,!e&&n.refCount>0)return!1;this.wasm._free(n.memoryOffset),this.wasm.tfjs.disposeData(n.id),this.dataIdMap.delete(t)}return!0}refCount(t){return this.dataIdMap.has(t)?this.dataIdMap.get(t).refCount:0}incRef(t){let e=this.dataIdMap.get(t);e!=null&&e.refCount++}floatPrecision(){return 32}getMemoryOffset(t){return this.dataIdMap.get(t).memoryOffset}dispose(){this.wasm.tfjs.dispose(),"PThread"in this.wasm&&this.wasm.PThread.terminateAllThreads(),this.wasm=null}memory(){return{unreliable:!1}}makeOutput(t,e,n){let o;if(n==null)o=this.write(null,t,e);else{let s=this.dataIdNextNumber++;o={id:s},this.dataIdMap.set(o,{id:s,memoryOffset:n,shape:t,dtype:e,refCount:1});let i=y.sizeFromShape(t);this.wasm.tfjs.registerTensor(s,i,n)}return{dataId:o,shape:t,dtype:e}}typedArrayFromHeap({shape:t,dtype:e,dataId:n}){let o=this.wasm.HEAPU8.buffer,{memoryOffset:s}=this.dataIdMap.get(n),i=y.sizeFromShape(t);switch(e){case"float32":return new Float32Array(o,s,i);case"int32":return new Int32Array(o,s,i);case"bool":return new Uint8Array(o,s,i);default:throw new Error(`Unknown dtype ${e}`)}}};function Zat(r){return(t,e)=>(y.fetch(r,{credentials:"same-origin"}).then(n=>{n.ok||t.env.a(`failed to load wasm binary file at '${r}'`),n.arrayBuffer().then(o=>{WebAssembly.instantiate(o,t).then(s=>{e(s.instance,s.module)})})}),{})}function jW(r,t,e){if(hI!=null)return hI;let n="tfjs-backend-wasm.wasm";return r&&t?n="tfjs-backend-wasm-threaded-simd.wasm":r&&(n="tfjs-backend-wasm-simd.wasm"),lg!=null&&lg[n]!=null?lg[n]:e+n}async function YW(){let[r,t]=await Promise.all([z().getAsync("WASM_HAS_SIMD_SUPPORT"),z().getAsync("WASM_HAS_MULTITHREAD_SUPPORT")]);return new Promise((e,n)=>{let o={};o.locateFile=(a,u)=>{if(a.endsWith(".worker.js")){let l=XW.wasmWorkerContents.replace(/\n/g,"\\n"),c=new Blob([l],{type:"application/javascript"});return URL.createObjectURL(c)}return a.endsWith(".wasm")?jW(r,t,ag!=null?ag:u):u+a},Vk&&(o.instantiateWasm=Zat(jW(r,t,ag!=null?ag:"")));let s=!1;o.onAbort=()=>{if(s||ug)return;ug=!0,n({message:"Make sure the server can serve the `.wasm` file relative to the bundled js file. For more details see https://github.com/tensorflow/tfjs/blob/master/tfjs-backend-wasm/README.md#using-bundlers"})};let i;t&&r&&hI==null?(o.mainScriptUrlOrBlob=new Blob(["var WasmBackendModuleThreadedSimd = "+KW.toString()],{type:"text/javascript"}),i=KW(o)):i=Yat(o),i.then(a=>{s=!0,ug=!1;let u=null;a.tfjs={init:a.cwrap("init",null,[]),initWithThreadsCount:a.cwrap("init_with_threads_count",null,["number"]),getThreadsCount:a.cwrap("get_threads_count","number",[]),registerTensor:a.cwrap("register_tensor",null,["number","number","number"]),disposeData:a.cwrap("dispose_data",u,["number"]),dispose:a.cwrap("dispose",u,[])},e({wasm:a})}).catch(n)})}function Jat(r,t){switch(t){case"float32":return new Float32Array(r);case"int32":return new Int32Array(r);case"bool":return new Uint8Array(r);default:throw new Error(`Unknown dtype ${t}`)}}var Qat=["tfjs-backend-wasm.wasm","tfjs-backend-wasm-simd.wasm","tfjs-backend-wasm-threaded-simd.wasm"],hI=null,ag=null,lg={},ug=!1,Vk=!1;function tlt(r,t=!1){if(W0("setWasmPath has been deprecated in favor of setWasmPaths and will be removed in a future release."),ug)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPath()` before you call `tf.setBackend()` or `tf.ready()`");hI=r,Vk=t}function elt(r,t=!1){if(ug)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPaths()` before you call `tf.setBackend()` or `tf.ready()`");if(typeof r=="string")ag=r;else{lg=r;let e=Qat.filter(n=>lg[n]==null);if(e.length>0)throw new Error(`There were no entries found for the following binaries: ${e.join(",")}. Please either call setWasmPaths with a map providing a path for each binary, or with a string indicating the directory where all the binaries can be found.`)}Vk=t}var ZW=-1,Mk=-1;function rlt(r){ZW=r}function nlt(){if(Mk===-1)throw new Error("WASM backend not initialized.");return Mk}var olt="4.0.0";var slt=2;Xp("wasm",async()=>{let{wasm:r}=await YW();return new cg(r)},slt);var ilt="4.0.0",alt="4.0.0",llt="4.0.0",ult="4.0.0",clt="4.0.0",plt="4.0.0",mlt="4.0.0",flt="4.0.0",dlt={tfjs:ilt,"tfjs-core":alt,"tfjs-data":llt,"tfjs-layers":ult,"tfjs-converter":clt,"tfjs-backend-cpu":plt,"tfjs-backend-webgl":mlt,"tfjs-backend-wasm":flt};export{ii as Abs,oa as Acos,sa as Acosh,cu as AdadeltaOptimizer,pu as AdagradOptimizer,mu as AdamOptimizer,fu as AdamaxOptimizer,Zn as Add,Go as AddN,ia as All,aa as Any,Wo as ArgMax,kl as ArgMin,la as Asin,ua as Asinh,ca as Atan,ma as Atan2,pa as Atanh,Uo as AvgPool,El as AvgPool3D,lp as AvgPool3DGrad,ap as AvgPoolGrad,cg as BackendWasm,Ho as BatchMatMul,ai as BatchToSpaceND,up as Bincount,cp as BroadcastArgs,p1 as BroadcastTo,Sb as Callback,Py as CallbackList,lo as Cast,qo as Ceil,uo as ClipByValue,pp as Complex,_l as ComplexAbs,li as Concat,Ko as Conv2D,mp as Conv2DBackpropFilter,jo as Conv2DBackpropInput,Al as Conv3D,fp as Conv3DBackpropFilterV2,dp as Conv3DBackpropInputV2,Xo as Cos,Yo as Cosh,da as CropAndResize,fa as Cumprod,Zo as Cumsum,My as CustomCallback,ra as DataStorage,hp as DenseBincount,ha as DepthToSpace,Jo as DepthwiseConv2dNative,gp as DepthwiseConv2dNativeBackpropFilter,xp as DepthwiseConv2dNativeBackpropInput,yp as Diag,$l as Dilation2D,Xd as Dilation2DBackpropFilter,jd as Dilation2DBackpropInput,i0 as ENV,vb as EarlyStopping,bp as Einsum,ts as Elu,wp as EluGrad,qd as Environment,xa as Equal,ga as Erf,es as Exp,ui as ExpandDims,ya as Expm1,Cp as FFT,Dl as Fill,ba as FlipLeftRight,rs as Floor,ns as FloorDiv,Yd as FromPixels,os as FusedBatchNorm,Ii as FusedConv2D,Si as FusedDepthwiseConv2D,Bc as GPGPUContext,wa as GatherNd,ci as GatherV2,Ph as GraphModel,Ca as Greater,ss as GreaterEqual,Ly as History,Ip as IFFT,co as Identity,Sp as Imag,ye as InputSpec,Ia as IsFinite,Sa as IsInf,va as IsNan,zo as KernelBackend,Rl as LRN,Np as LRNGrad,Ch as LayerVariable,Bn as LayersModel,is as LeakyRelu,Na as Less,Ta as LessEqual,vp as LinSpace,as as Log,ka as Log1p,f1 as LogSoftmax,Ea as LogicalAnd,_a as LogicalNot,Aa as LogicalOr,m1 as LogicalXor,wlt as LowerBound,_u as MathBackendWebGL,ls as Max,cs as MaxPool,Fl as MaxPool3D,kp as MaxPool3DGrad,Tp as MaxPoolGrad,Ep as MaxPoolWithArgmax,us as Maximum,ps as Mean,ms as Min,fs as Minimum,ds as MirrorPad,$a as Mod,du as MomentumOptimizer,_p as Multinomial,hs as Multiply,pi as Neg,Ra as NonMaxSuppressionV3,Fa as NonMaxSuppressionV4,Oa as NonMaxSuppressionV5,Da as NotEqual,k0 as OP_SCOPE_SUFFIX,gs as OneHot,mi as OnesLike,Wr as Optimizer,Ws as OptimizerConstructors,fi as Pack,xs as PadV2,Clt as Pool,ys as Pow,bs as Prelu,ws as Prod,hu as RMSPropOptimizer,Tn as RNN,Ap as RaggedGather,$p as RaggedRange,Dp as RaggedTensorToTensor,Ol as Range,x0 as Rank,Rp as Real,Qo as RealDiv,Pa as Reciprocal,Xe as Reduction,Cs as Relu,vs as Relu6,di as Reshape,Ss as ResizeBilinear,Op as ResizeBilinearGrad,Is as ResizeNearestNeighbor,Fp as ResizeNearestNeighborGrad,Ns as Reverse,qa as RotateWithOffset,Ts as Round,ks as Rsqrt,Bi as SGDOptimizer,La as ScatterNd,Pp as SearchSorted,hi as Select,Ma as Selu,qi as Sequential,_s as Sigmoid,Ba as Sign,Es as Sin,za as Sinh,gi as Slice,Ds as Softmax,Va as Softplus,xi as SpaceToBatchND,Pl as SparseFillEmptyRows,Ga as SparseReshape,Ll as SparseSegmentMean,Ml as SparseSegmentSum,Lp as SparseToDense,yi as SplitV,As as Sqrt,zl as Square,Rs as SquaredDifference,po as Step,Wa as StridedSlice,Bl as StringNGrams,Vl as StringSplit,Gl as StringToHashBucketFast,Fs as Sub,$s as Sum,Jr as SymbolicTensor,Os as Tan,Ps as Tanh,Ft as Tensor,pe as TensorBuffer,Jn as Tile,Ua as TopK,Ha as Transform,Qn as Transpose,Mp as Unique,bi as Unpack,Wl as UnsortedSegmentSum,Ilt as UpperBound,Ka as Variable,wi as ZerosLike,Ci as _FusedMatMul,Ee as abs,ax as acos,lx as acosh,X as add,LE as addN,Zp as all,qu as any,Ai as argMax,ux as argMin,cx as asin,px as asinh,mx as atan,fx as atan2,dx as atanh,Yl as avgPool,gx as avgPool3d,gE as backend,v as backend_util,BE as basicLSTMCell,Di as batchNorm,xx as batchNorm2d,yx as batchNorm3d,bx as batchNorm4d,Zl as batchToSpaceND,wx as bincount,r6 as booleanMaskAsync,GE as broadcastArgs,Ri as broadcastTo,Vr as broadcast_util,nx as browser,wt as buffer,BZ as callbacks,J as cast,Cx as ceil,Cr as clipByValue,sn as clone,wn as complex,ne as concat,Ix as concat1d,Sx as concat2d,vx as concat3d,Nx as concat4d,K$ as constraints,Qp as conv1d,In as conv2d,em as conv2dTranspose,Tx as conv3d,Ex as conv3dTranspose,_lt as copyRegisteredKernels,Jl as cos,rm as cosh,hh as cosineWindow,Xu as cumprod,nm as cumsum,un as customGrad,AR as data,ch as denseBincount,W0 as deprecationWarn,_x as depthToSpace,Fi as depthwiseConv2d,UZ as deregisterOp,Kl as device_util,WE as diag,Ax as dilation2d,bpt as disableDeprecationWarnings,vt as dispose,wpt as disposeVariables,pt as div,$x as divNoNan,Dx as dot,lv as dropout,UE as einsum,Oi as elu,ypt as enableDebugMode,xpt as enableProdMode,uv as enclosingPowerOfTwo,Pn as engine,z as env,$r as equal,Rx as erf,Fx as euclideanNorm,er as exp,rr as expandDims,Ox as expm1,Yu as eye,au as fft,xo as fill,Tpt as findBackend,kpt as findBackendFactory,Pi as floor,Yp as floorDiv,hM as forceHalfFloat,uu as fused,Li as gather,p6 as gatherND,ox as gather_util,vpt as getBackend,u0 as getGradient,Jd as getKernel,zg as getKernelsForBackend,nlt as getThreadsCount,ik as gpgpu_util,yK as grad,bK as grads,Re as greater,ln as greaterEqual,tl as ifft,Xl as imag,Gs as image,d6 as inTopKAsync,j$ as initializers,Pv as input,_r as io,xm as irfft,Px as isFinite,Lx as isInf,Mx as isNaN,De as keep,Ur as kernel_impls,ED as layers,Ql as leakyRelu,om as less,Ln as lessEqual,pv as linalg,KE as linspace,L7 as loadGraphModel,M7 as loadGraphModelSync,hD as loadLayersModel,zx as localResponseNormalization,Sr as log,tu as log1p,Gx as logSigmoid,sm as logSoftmax,im as logSumExp,Rr as logicalAnd,eu as logicalNot,am as logicalOr,Wx as logicalXor,dX as losses,jE as lowerBound,Lt as matMul,yE as math,Ir as max,ru as maxPool,Hx as maxPool3d,XE as maxPoolWithArgmax,Sn as maximum,ve as mean,ah as memory,YE as meshgrid,_D as metrics,Ja as min,Mi as minimum,qx as mirrorPad,Kx as mod,H8 as model,AD as models,Zu as moments,o6 as movingAverage,D as mul,ZE as multiRNNCell,JE as multinomial,Ht as neg,gh as nextFrame,Qa as norm,Bs as notEqual,Ei as oneHot,cr as ones,yr as onesLike,T as op,QE as outerProduct,cn as pad,t_ as pad1d,e_ as pad2d,r_ as pad3d,n_ as pad4d,jx as pool,an as pow,ou as prelu,Jg as print,Xx as prod,Cpt as profile,o_ as raggedGather,s_ as raggedRange,i_ as raggedTensorToTensor,a_ as rand,v_ as randomGamma,tc as randomNormal,N_ as randomStandardNormal,zi as randomUniform,su as range,Spt as ready,Za as real,ty as reciprocal,Xp as registerBackend,K8 as registerCallbackConstructor,h1 as registerGradient,Lu as registerKernel,WZ as registerOp,$D as regularizers,Fr as relu,lm as relu6,Npt as removeBackend,R as reshape,pr as reverse,T_ as reverse1d,k_ as reverse2d,E_ as reverse3d,__ as reverse4d,lu as rfft,um as round,cm as rsqrt,mt as scalar,i6 as scatterND,lh as scatter_util,mh as searchSorted,pm as selu,mm as separableConv2d,q8 as sequential,Q as serialization,Q4 as setBackend,Ept as setPlatform,rlt as setThreadsCount,tlt as setWasmPath,elt as setWasmPaths,wT as setWebGLContext,A_ as setdiff1dAsync,Yr as sigmoid,ey as sign,fX as signal,fm as sin,dm as sinh,Rt as slice,hm as slice1d,dh as slice2d,gm as slice3d,ec as slice4d,Le as slice_util,iu as softmax,zs as softplus,nu as spaceToBatchND,hX as sparse,u6 as sparseToDense,mX as spectral,mr as split,Se as sqrt,Mt as square,ym as squaredDifference,Mn as squeeze,nr as stack,bo as step,ry as stridedSlice,gX as string,ct as sub,ft as sum,Wu as sumOutType,ny as tan,$i as tanh,ur as tensor,Me as tensor1d,Vs as tensor2d,rx as tensor3d,$_ as tensor4d,D_ as tensor5d,R_ as tensor6d,go as tensor_util,OE as test_util,B as tidy,Dr as tile,Ipt as time,oy as topk,ic as train,Ot as transpose,bm as truncatedNormal,sy as unique,Elt as unregisterGradient,klt as unregisterKernel,wm as unsortedSegmentSum,vr as unstack,sr as upcastType,F_ as upperBound,y as util,wK as valueAndGrad,CK as valueAndGrads,iy as variable,Bx as variableGrads,dlt as version,cR as version_converter,PE as version_core,Um as version_layers,olt as version_wasm,dM as version_webgl,t1e as webgl,dd as webgl_util,_e as where,ly as whereAsync,Ne as zeros,It as zerosLike}; diff --git a/dist/tfjs.version.js b/dist/tfjs.version.js index 3ea9403..5e45e38 100644 --- a/dist/tfjs.version.js +++ b/dist/tfjs.version.js @@ -4,4 +4,4 @@ author: ' */ -var e="3.21.0";var s="3.21.0";var t="3.21.0";var i="3.21.0";var n="3.21.0";var r="3.21.0";var l="3.21.0";var a="3.21.0";var G={tfjs:e,"tfjs-core":s,"tfjs-data":t,"tfjs-layers":i,"tfjs-converter":n,"tfjs-backend-cpu":r,"tfjs-backend-webgl":l,"tfjs-backend-wasm":a};export{G as version}; +var e="4.0.0";var s="4.0.0";var t="4.0.0";var i="4.0.0";var n="4.0.0";var r="4.0.0";var l="4.0.0";var a="4.0.0";var G={tfjs:e,"tfjs-core":s,"tfjs-data":t,"tfjs-layers":i,"tfjs-converter":n,"tfjs-backend-cpu":r,"tfjs-backend-webgl":l,"tfjs-backend-wasm":a};export{G as version}; diff --git a/package.json b/package.json index eab1ac0..8c6f0ca 100644 --- a/package.json +++ b/package.json @@ -43,22 +43,22 @@ ], "devDependencies": { "@canvas/image": "^1.0.1", - "@microsoft/api-extractor": "^7.32.0", - "@tensorflow/tfjs": "^3.21.0", - "@tensorflow/tfjs-backend-cpu": "^3.21.0", - "@tensorflow/tfjs-backend-wasm": "^3.21.0", - "@tensorflow/tfjs-backend-webgl": "^3.21.0", + "@microsoft/api-extractor": "^7.33.1", + "@tensorflow/tfjs": "^4.0.0", + "@tensorflow/tfjs-backend-cpu": "^4.0.0", + "@tensorflow/tfjs-backend-wasm": "^4.0.0", + "@tensorflow/tfjs-backend-webgl": "^4.0.0", "@tensorflow/tfjs-backend-webgpu": "0.0.1-alpha.14", - "@tensorflow/tfjs-converter": "^3.21.0", - "@tensorflow/tfjs-core": "^3.21.0", - "@tensorflow/tfjs-data": "^3.21.0", - "@tensorflow/tfjs-layers": "^3.21.0", - "@tensorflow/tfjs-node": "^3.21.1", - "@tensorflow/tfjs-node-gpu": "^3.21.0", - "@types/node": "^18.8.3", + "@tensorflow/tfjs-converter": "^4.0.0", + "@tensorflow/tfjs-core": "^4.0.0", + "@tensorflow/tfjs-data": "^4.0.0", + "@tensorflow/tfjs-layers": "^4.0.0", + "@tensorflow/tfjs-node": "^4.0.0", + "@tensorflow/tfjs-node-gpu": "^4.0.0", + "@types/node": "^18.8.5", "@types/offscreencanvas": "^2019.7.0", - "@typescript-eslint/eslint-plugin": "^5.39.0", - "@typescript-eslint/parser": "^5.39.0", + "@typescript-eslint/eslint-plugin": "^5.40.0", + "@typescript-eslint/parser": "^5.40.0", "@vladmandic/build": "^0.7.14", "@vladmandic/pilogger": "^0.4.6", "@vladmandic/tfjs": "github:vladmandic/tfjs", @@ -68,11 +68,11 @@ "eslint-plugin-import": "^2.26.0", "eslint-plugin-json": "^3.1.0", "eslint-plugin-node": "^11.1.0", - "eslint-plugin-promise": "^6.0.1", + "eslint-plugin-promise": "^6.1.0", "rimraf": "^3.0.2", "seedrandom": "^3.0.5", "tslib": "^2.4.0", - "typedoc": "^0.23.15", + "typedoc": "^0.23.16", "typescript": "4.8.4" } } diff --git a/typedoc/classes/AgeGenderNet.html b/typedoc/classes/AgeGenderNet.html index c851f4e..fb2eef9 100644 --- a/typedoc/classes/AgeGenderNet.html +++ b/typedoc/classes/AgeGenderNet.html @@ -1,16 +1,16 @@ -AgeGenderNet | @vladmandic/face-api - v1.7.4
+AgeGenderNet | @vladmandic/face-api - v1.7.5
+
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class AgeGenderNet

    @@ -144,14 +144,14 @@

    extractClassifierParams

      - +

    • Parameters

      • weights: Float32Array
      -

      Returns { paramMappings: ParamMapping[]; params: NetParams }

      +

      Returns {
          paramMappings: ParamMapping[];
          params: NetParams;
      }

      • paramMappings: ParamMapping[]
        • @@ -211,9 +211,9 @@

        getFrozenParams

          - +
        • -

          Returns { path: string; tensor: Tensor }[]

        @@ -234,18 +234,18 @@

        getParamList

          - +
        • -

          Returns { path: string; tensor: Tensor }[]

        getTrainableParams

          - +
        • -

          Returns { path: string; tensor: Tensor }[]

        @@ -394,7 +394,7 @@

        Modules

        diff --git a/typedoc/classes/BoundingBox.html b/typedoc/classes/BoundingBox.html index fc82211..ab7d139 100644 --- a/typedoc/classes/BoundingBox.html +++ b/typedoc/classes/BoundingBox.html @@ -1,16 +1,16 @@ -BoundingBox | @vladmandic/face-api - v1.7.4
        +BoundingBox | @vladmandic/face-api - v1.7.5
        +
      • The search index is not available
      @vladmandic/face-api - v1.7.5

    Class BoundingBox

    @@ -271,7 +271,7 @@

    padAtBorders

      - +

    • Parameters

      @@ -280,7 +280,7 @@
      imageHeight: number
    • imageWidth: number
    -

    Returns { dx: number; dy: number; edx: number; edy: number; ex: number; ey: number; h: number; w: number; x: number; y: number }

    +

    Returns {
        dx: number;
        dy: number;
        edx: number;
        edy: number;
        ex: number;
        ey: number;
        h: number;
        w: number;
        x: number;
        y: number;
    }

    • dx: number
      • @@ -401,7 +401,7 @@

      Modules

      diff --git a/typedoc/classes/Box.html b/typedoc/classes/Box.html index db2a0f8..ff9fa8e 100644 --- a/typedoc/classes/Box.html +++ b/typedoc/classes/Box.html @@ -1,16 +1,16 @@ -Box | @vladmandic/face-api - v1.7.4
      +Box | @vladmandic/face-api - v1.7.5
      +
    • The search index is not available
    @vladmandic/face-api - v1.7.5

    Class Box<BoxType>

    @@ -264,7 +264,7 @@

    padAtBorders

      - +

    • Parameters

      @@ -273,7 +273,7 @@
      imageHeight: number
    • imageWidth: number
    -

    Returns { dx: number; dy: number; edx: number; edy: number; ex: number; ey: number; h: number; w: number; x: number; y: number }

    +

    Returns {
        dx: number;
        dy: number;
        edx: number;
        edy: number;
        ex: number;
        ey: number;
        h: number;
        w: number;
        x: number;
        y: number;
    }

    • dx: number
      • @@ -387,7 +387,7 @@

      Modules

      diff --git a/typedoc/classes/ComposableTask.html b/typedoc/classes/ComposableTask.html index c4eed67..a6f6ce3 100644 --- a/typedoc/classes/ComposableTask.html +++ b/typedoc/classes/ComposableTask.html @@ -1,16 +1,16 @@ -ComposableTask | @vladmandic/face-api - v1.7.4
      +ComposableTask | @vladmandic/face-api - v1.7.5
      +
    • The search index is not available
    @vladmandic/face-api - v1.7.5

    Class ComposableTask<T>

    @@ -105,7 +105,7 @@

    Modules

    diff --git a/typedoc/classes/ComputeAllFaceDescriptorsTask.html b/typedoc/classes/ComputeAllFaceDescriptorsTask.html index 8e3ff6d..83cfd73 100644 --- a/typedoc/classes/ComputeAllFaceDescriptorsTask.html +++ b/typedoc/classes/ComputeAllFaceDescriptorsTask.html @@ -1,16 +1,16 @@ -ComputeAllFaceDescriptorsTask | @vladmandic/face-api - v1.7.4
    +ComputeAllFaceDescriptorsTask | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class ComputeAllFaceDescriptorsTask<TSource>

    @@ -53,7 +53,7 @@

    Type Parameters

    +

    TSource extends WithFaceLandmarks<{
        detection: FaceDetection;
    }, FaceLandmarks68>

    Parameters

      @@ -133,7 +133,7 @@

      Modules

      diff --git a/typedoc/classes/ComputeFaceDescriptorsTaskBase.html b/typedoc/classes/ComputeFaceDescriptorsTaskBase.html index 9c9ad05..9f7340f 100644 --- a/typedoc/classes/ComputeFaceDescriptorsTaskBase.html +++ b/typedoc/classes/ComputeFaceDescriptorsTaskBase.html @@ -1,16 +1,16 @@ -ComputeFaceDescriptorsTaskBase | @vladmandic/face-api - v1.7.4
      +ComputeFaceDescriptorsTaskBase | @vladmandic/face-api - v1.7.5
      +
    • The search index is not available
    @vladmandic/face-api - v1.7.5

    Class ComputeFaceDescriptorsTaskBase<TReturn, TParentReturn>

    @@ -122,7 +122,7 @@

    Modules

    diff --git a/typedoc/classes/ComputeSingleFaceDescriptorTask.html b/typedoc/classes/ComputeSingleFaceDescriptorTask.html index ab5bfc3..d6cc05f 100644 --- a/typedoc/classes/ComputeSingleFaceDescriptorTask.html +++ b/typedoc/classes/ComputeSingleFaceDescriptorTask.html @@ -1,16 +1,16 @@ -ComputeSingleFaceDescriptorTask | @vladmandic/face-api - v1.7.4
    +ComputeSingleFaceDescriptorTask | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class ComputeSingleFaceDescriptorTask<TSource>

    @@ -53,7 +53,7 @@

    Type Parameters

    +

    TSource extends WithFaceLandmarks<{
        detection: FaceDetection;
    }, FaceLandmarks68>

    Parameters

      @@ -133,7 +133,7 @@

      Modules

      diff --git a/typedoc/classes/DetectAllFaceLandmarksTask.html b/typedoc/classes/DetectAllFaceLandmarksTask.html index caeb804..8f1d22d 100644 --- a/typedoc/classes/DetectAllFaceLandmarksTask.html +++ b/typedoc/classes/DetectAllFaceLandmarksTask.html @@ -1,16 +1,16 @@ -DetectAllFaceLandmarksTask | @vladmandic/face-api - v1.7.4
      +DetectAllFaceLandmarksTask | @vladmandic/face-api - v1.7.5
      +
    • The search index is not available
    @vladmandic/face-api - v1.7.5

    Class DetectAllFaceLandmarksTask<TSource>

    @@ -54,7 +54,7 @@

    Type Parameters

    +

    TSource extends {
        detection: FaceDetection;
    }

    Parameters

      @@ -144,7 +144,7 @@

      Modules

      diff --git a/typedoc/classes/DetectAllFacesTask.html b/typedoc/classes/DetectAllFacesTask.html index 64cf7ae..fac3a76 100644 --- a/typedoc/classes/DetectAllFacesTask.html +++ b/typedoc/classes/DetectAllFacesTask.html @@ -1,16 +1,16 @@ -DetectAllFacesTask | @vladmandic/face-api - v1.7.4
      +DetectAllFacesTask | @vladmandic/face-api - v1.7.5
      +
    • The search index is not available
    @vladmandic/face-api - v1.7.5

    Class DetectAllFacesTask

    @@ -95,30 +95,30 @@

    withAgeAndGender

    withFaceExpressions

    withFaceLandmarks

    @@ -137,7 +137,7 @@

    Modules

    diff --git a/typedoc/classes/DetectFaceLandmarksTaskBase.html b/typedoc/classes/DetectFaceLandmarksTaskBase.html index 2942c39..b45bb75 100644 --- a/typedoc/classes/DetectFaceLandmarksTaskBase.html +++ b/typedoc/classes/DetectFaceLandmarksTaskBase.html @@ -1,16 +1,16 @@ -DetectFaceLandmarksTaskBase | @vladmandic/face-api - v1.7.4
    +DetectFaceLandmarksTaskBase | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class DetectFaceLandmarksTaskBase<TReturn, TParentReturn>

    @@ -124,7 +124,7 @@

    Modules

    diff --git a/typedoc/classes/DetectFacesTaskBase.html b/typedoc/classes/DetectFacesTaskBase.html index 64a9d8e..3f9fd07 100644 --- a/typedoc/classes/DetectFacesTaskBase.html +++ b/typedoc/classes/DetectFacesTaskBase.html @@ -1,16 +1,16 @@ -DetectFacesTaskBase | @vladmandic/face-api - v1.7.4
    +DetectFacesTaskBase | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class DetectFacesTaskBase<TReturn>

    @@ -118,7 +118,7 @@

    Modules

    diff --git a/typedoc/classes/DetectSingleFaceLandmarksTask.html b/typedoc/classes/DetectSingleFaceLandmarksTask.html index 4850760..31e39ff 100644 --- a/typedoc/classes/DetectSingleFaceLandmarksTask.html +++ b/typedoc/classes/DetectSingleFaceLandmarksTask.html @@ -1,16 +1,16 @@ -DetectSingleFaceLandmarksTask | @vladmandic/face-api - v1.7.4
    +DetectSingleFaceLandmarksTask | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class DetectSingleFaceLandmarksTask<TSource>

    @@ -54,7 +54,7 @@

    Type Parameters

    +

    TSource extends {
        detection: FaceDetection;
    }

    Parameters

      @@ -144,7 +144,7 @@

      Modules

      diff --git a/typedoc/classes/DetectSingleFaceTask.html b/typedoc/classes/DetectSingleFaceTask.html index 47016c2..eb9f391 100644 --- a/typedoc/classes/DetectSingleFaceTask.html +++ b/typedoc/classes/DetectSingleFaceTask.html @@ -1,16 +1,16 @@ -DetectSingleFaceTask | @vladmandic/face-api - v1.7.4
      +DetectSingleFaceTask | @vladmandic/face-api - v1.7.5
      +
    • The search index is not available
    @vladmandic/face-api - v1.7.5

    Class DetectSingleFaceTask

    @@ -95,30 +95,30 @@

    withAgeAndGender

    withFaceExpressions

    withFaceLandmarks

    @@ -137,7 +137,7 @@

    Modules

    diff --git a/typedoc/classes/Dimensions.html b/typedoc/classes/Dimensions.html index a3d245c..e164373 100644 --- a/typedoc/classes/Dimensions.html +++ b/typedoc/classes/Dimensions.html @@ -1,16 +1,16 @@ -Dimensions | @vladmandic/face-api - v1.7.4
    +Dimensions | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class Dimensions

    @@ -104,7 +104,7 @@

    Modules

    diff --git a/typedoc/classes/FaceDetection.html b/typedoc/classes/FaceDetection.html index 70e53ca..e84123d 100644 --- a/typedoc/classes/FaceDetection.html +++ b/typedoc/classes/FaceDetection.html @@ -1,16 +1,16 @@ -FaceDetection | @vladmandic/face-api - v1.7.4
    +FaceDetection | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class FaceDetection

    @@ -179,7 +179,7 @@

    Modules

    diff --git a/typedoc/classes/FaceDetectionNet.html b/typedoc/classes/FaceDetectionNet.html index 5275e04..19ef8d1 100644 --- a/typedoc/classes/FaceDetectionNet.html +++ b/typedoc/classes/FaceDetectionNet.html @@ -1,16 +1,16 @@ -FaceDetectionNet | @vladmandic/face-api - v1.7.4
    +FaceDetectionNet | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class FaceDetectionNet

    @@ -178,9 +178,9 @@

    getFrozenParams

      - +
    • -

      Returns { path: string; tensor: Tensor }[]

    @@ -201,18 +201,18 @@

    getParamList

      - +
    • -

      Returns { path: string; tensor: Tensor }[]

    getTrainableParams

      - +
    • -

      Returns { path: string; tensor: Tensor }[]

    @@ -338,7 +338,7 @@

    Modules

    diff --git a/typedoc/classes/FaceExpressionNet.html b/typedoc/classes/FaceExpressionNet.html index 3d17fd1..5e18965 100644 --- a/typedoc/classes/FaceExpressionNet.html +++ b/typedoc/classes/FaceExpressionNet.html @@ -1,16 +1,16 @@ -FaceExpressionNet | @vladmandic/face-api - v1.7.4
    +FaceExpressionNet | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class FaceExpressionNet

    @@ -145,14 +145,14 @@

    extractClassifierParams

      - +

    • Parameters

      • weights: Float32Array
      -

      Returns { paramMappings: ParamMapping[]; params: NetParams }

      +

      Returns {
          paramMappings: ParamMapping[];
          params: NetParams;
      }

      • paramMappings: ParamMapping[]
        • @@ -213,9 +213,9 @@

        getFrozenParams

          - +
        • -

          Returns { path: string; tensor: Tensor }[]

        @@ -236,18 +236,18 @@

        getParamList

          - +
        • -

          Returns { path: string; tensor: Tensor }[]

        getTrainableParams

          - +
        • -

          Returns { path: string; tensor: Tensor }[]

        @@ -398,7 +398,7 @@

        Modules

        diff --git a/typedoc/classes/FaceExpressions.html b/typedoc/classes/FaceExpressions.html index 374ef02..b1d3bf9 100644 --- a/typedoc/classes/FaceExpressions.html +++ b/typedoc/classes/FaceExpressions.html @@ -1,16 +1,16 @@ -FaceExpressions | @vladmandic/face-api - v1.7.4
        +FaceExpressions | @vladmandic/face-api - v1.7.5
        +
      • The search index is not available
      @vladmandic/face-api - v1.7.5

    Class FaceExpressions

    @@ -99,9 +99,9 @@

    asSortedArray

      - +
    • -

      Returns { expression: string; probability: number }[]

    @@ -120,7 +120,7 @@

    Modules

    diff --git a/typedoc/classes/FaceLandmark68Net.html b/typedoc/classes/FaceLandmark68Net.html index 499c26d..57ee69d 100644 --- a/typedoc/classes/FaceLandmark68Net.html +++ b/typedoc/classes/FaceLandmark68Net.html @@ -1,16 +1,16 @@ -FaceLandmark68Net | @vladmandic/face-api - v1.7.4
    +FaceLandmark68Net | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class FaceLandmark68Net

    @@ -162,14 +162,14 @@

    extractClassifierParams

      - +

    • Parameters

      • weights: Float32Array
      -

      Returns { paramMappings: ParamMapping[]; params: NetParams }

      +

      Returns {
          paramMappings: ParamMapping[];
          params: NetParams;
      }

      • paramMappings: ParamMapping[]
        • @@ -232,9 +232,9 @@

        getFrozenParams

          - +
        • -

          Returns { path: string; tensor: Tensor }[]

        @@ -255,18 +255,18 @@

        getParamList

          - +
        • -

          Returns { path: string; tensor: Tensor }[]

        getTrainableParams

          - +
        • -

          Returns { path: string; tensor: Tensor }[]

        @@ -422,7 +422,7 @@

        Modules

        diff --git a/typedoc/classes/FaceLandmark68TinyNet.html b/typedoc/classes/FaceLandmark68TinyNet.html index 436ab8c..7b9fe76 100644 --- a/typedoc/classes/FaceLandmark68TinyNet.html +++ b/typedoc/classes/FaceLandmark68TinyNet.html @@ -1,16 +1,16 @@ -FaceLandmark68TinyNet | @vladmandic/face-api - v1.7.4
        +FaceLandmark68TinyNet | @vladmandic/face-api - v1.7.5
        +
      • The search index is not available
      @vladmandic/face-api - v1.7.5

    Class FaceLandmark68TinyNet

    @@ -160,14 +160,14 @@

    extractClassifierParams

      - +

    • Parameters

      • weights: Float32Array
      -

      Returns { paramMappings: ParamMapping[]; params: NetParams }

      +

      Returns {
          paramMappings: ParamMapping[];
          params: NetParams;
      }

      • paramMappings: ParamMapping[]
        • @@ -230,9 +230,9 @@

        getFrozenParams

          - +
        • -

          Returns { path: string; tensor: Tensor }[]

        @@ -253,18 +253,18 @@

        getParamList

          - +
        • -

          Returns { path: string; tensor: Tensor }[]

        getTrainableParams

          - +
        • -

          Returns { path: string; tensor: Tensor }[]

        @@ -420,7 +420,7 @@

        Modules

        diff --git a/typedoc/classes/FaceLandmarkNet.html b/typedoc/classes/FaceLandmarkNet.html index c59ccbd..b13c29d 100644 --- a/typedoc/classes/FaceLandmarkNet.html +++ b/typedoc/classes/FaceLandmarkNet.html @@ -1,16 +1,16 @@ -FaceLandmarkNet | @vladmandic/face-api - v1.7.4
        +FaceLandmarkNet | @vladmandic/face-api - v1.7.5
        +
      • The search index is not available
      @vladmandic/face-api - v1.7.5

    Class FaceLandmarkNet

    @@ -160,14 +160,14 @@

    extractClassifierParams

      - +

    • Parameters

      • weights: Float32Array
      -

      Returns { paramMappings: ParamMapping[]; params: NetParams }

      +

      Returns {
          paramMappings: ParamMapping[];
          params: NetParams;
      }

      • paramMappings: ParamMapping[]
        • @@ -230,9 +230,9 @@

        getFrozenParams

          - +
        • -

          Returns { path: string; tensor: Tensor }[]

        @@ -253,18 +253,18 @@

        getParamList

          - +
        • -

          Returns { path: string; tensor: Tensor }[]

        getTrainableParams

          - +
        • -

          Returns { path: string; tensor: Tensor }[]

        @@ -420,7 +420,7 @@

        Modules

        diff --git a/typedoc/classes/FaceLandmarks.html b/typedoc/classes/FaceLandmarks.html index 6af60ea..335df9c 100644 --- a/typedoc/classes/FaceLandmarks.html +++ b/typedoc/classes/FaceLandmarks.html @@ -1,16 +1,16 @@ -FaceLandmarks | @vladmandic/face-api - v1.7.4
        +FaceLandmarks | @vladmandic/face-api - v1.7.5
        +
      • The search index is not available
      @vladmandic/face-api - v1.7.5

    Class FaceLandmarks

    @@ -118,7 +118,7 @@

    align

      - +

    • Aligns the face landmarks after face detection from the relative positions of the faces bounding box, or it's current shift. This function should be used to align the face images @@ -137,7 +137,7 @@ no argument was passed the position of the face landmarks are assumed to be rela it's current shift.

    • -
      options: { minBoxPadding?: number; useDlibAlignment?: boolean } = {}
      +
      options: {
          minBoxPadding?: number;
          useDlibAlignment?: boolean;
      } = {}
      • Optional minBoxPadding?: number
        • @@ -220,7 +220,7 @@ it's current shift.

        Modules

        diff --git a/typedoc/classes/FaceLandmarks5.html b/typedoc/classes/FaceLandmarks5.html index 85d697a..85c71f7 100644 --- a/typedoc/classes/FaceLandmarks5.html +++ b/typedoc/classes/FaceLandmarks5.html @@ -1,16 +1,16 @@ -FaceLandmarks5 | @vladmandic/face-api - v1.7.4
        +FaceLandmarks5 | @vladmandic/face-api - v1.7.5
        +
      • The search index is not available
      @vladmandic/face-api - v1.7.5

    Class FaceLandmarks5

    @@ -117,7 +117,7 @@

    align

      - +

    • Aligns the face landmarks after face detection from the relative positions of the faces bounding box, or it's current shift. This function should be used to align the face images @@ -136,7 +136,7 @@ no argument was passed the position of the face landmarks are assumed to be rela it's current shift.

    • -
      options: { minBoxPadding?: number; useDlibAlignment?: boolean } = {}
      +
      options: {
          minBoxPadding?: number;
          useDlibAlignment?: boolean;
      } = {}
      • Optional minBoxPadding?: number
        • @@ -223,7 +223,7 @@ it's current shift.

        Modules

        diff --git a/typedoc/classes/FaceLandmarks68.html b/typedoc/classes/FaceLandmarks68.html index fb33bc6..4de6848 100644 --- a/typedoc/classes/FaceLandmarks68.html +++ b/typedoc/classes/FaceLandmarks68.html @@ -1,16 +1,16 @@ -FaceLandmarks68 | @vladmandic/face-api - v1.7.4
        +FaceLandmarks68 | @vladmandic/face-api - v1.7.5
        +
      • The search index is not available
      @vladmandic/face-api - v1.7.5

    Class FaceLandmarks68

    @@ -124,7 +124,7 @@

    align

      - +

    • Aligns the face landmarks after face detection from the relative positions of the faces bounding box, or it's current shift. This function should be used to align the face images @@ -143,7 +143,7 @@ no argument was passed the position of the face landmarks are assumed to be rela it's current shift.

    • -
      options: { minBoxPadding?: number; useDlibAlignment?: boolean } = {}
      +
      options: {
          minBoxPadding?: number;
          useDlibAlignment?: boolean;
      } = {}
      • Optional minBoxPadding?: number
        • @@ -286,7 +286,7 @@ it's current shift.

        Modules

        diff --git a/typedoc/classes/FaceMatch.html b/typedoc/classes/FaceMatch.html index 8998af4..5fcd9f7 100644 --- a/typedoc/classes/FaceMatch.html +++ b/typedoc/classes/FaceMatch.html @@ -1,16 +1,16 @@ -FaceMatch | @vladmandic/face-api - v1.7.4
        +FaceMatch | @vladmandic/face-api - v1.7.5
        +
      • The search index is not available
      @vladmandic/face-api - v1.7.5

    Class FaceMatch

    @@ -109,7 +109,7 @@

    Modules

    diff --git a/typedoc/classes/FaceMatcher.html b/typedoc/classes/FaceMatcher.html index d13ad95..116f646 100644 --- a/typedoc/classes/FaceMatcher.html +++ b/typedoc/classes/FaceMatcher.html @@ -1,16 +1,16 @@ -FaceMatcher | @vladmandic/face-api - v1.7.4
    +FaceMatcher | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class FaceMatcher

    @@ -156,7 +156,7 @@

    Modules

    diff --git a/typedoc/classes/FaceRecognitionNet.html b/typedoc/classes/FaceRecognitionNet.html index 003b5f6..0b79a61 100644 --- a/typedoc/classes/FaceRecognitionNet.html +++ b/typedoc/classes/FaceRecognitionNet.html @@ -1,16 +1,16 @@ -FaceRecognitionNet | @vladmandic/face-api - v1.7.4
    +FaceRecognitionNet | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class FaceRecognitionNet

    @@ -189,9 +189,9 @@

    getFrozenParams

      - +
    • -

      Returns { path: string; tensor: Tensor }[]

    @@ -212,18 +212,18 @@

    getParamList

      - +
    • -

      Returns { path: string; tensor: Tensor }[]

    getTrainableParams

      - +
    • -

      Returns { path: string; tensor: Tensor }[]

    @@ -333,7 +333,7 @@

    Modules

    diff --git a/typedoc/classes/LabeledBox.html b/typedoc/classes/LabeledBox.html index 0ba4f2b..7728e71 100644 --- a/typedoc/classes/LabeledBox.html +++ b/typedoc/classes/LabeledBox.html @@ -1,16 +1,16 @@ -LabeledBox | @vladmandic/face-api - v1.7.4
    +LabeledBox | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class LabeledBox

    @@ -269,7 +269,7 @@

    padAtBorders

      - +

    • Parameters

      @@ -278,7 +278,7 @@
      imageHeight: number
    • imageWidth: number
    -

    Returns { dx: number; dy: number; edx: number; edy: number; ex: number; ey: number; h: number; w: number; x: number; y: number }

    +

    Returns {
        dx: number;
        dy: number;
        edx: number;
        edy: number;
        ex: number;
        ey: number;
        h: number;
        w: number;
        x: number;
        y: number;
    }

    • dx: number
      • @@ -414,7 +414,7 @@

      Modules

      diff --git a/typedoc/classes/LabeledFaceDescriptors.html b/typedoc/classes/LabeledFaceDescriptors.html index 5a4613c..2f0e2e9 100644 --- a/typedoc/classes/LabeledFaceDescriptors.html +++ b/typedoc/classes/LabeledFaceDescriptors.html @@ -1,16 +1,16 @@ -LabeledFaceDescriptors | @vladmandic/face-api - v1.7.4
      +LabeledFaceDescriptors | @vladmandic/face-api - v1.7.5
      +
    • The search index is not available
    @vladmandic/face-api - v1.7.5

    Class LabeledFaceDescriptors

    @@ -112,7 +112,7 @@

    Modules

    diff --git a/typedoc/classes/NetInput.html b/typedoc/classes/NetInput.html index 2c2d133..0a528da 100644 --- a/typedoc/classes/NetInput.html +++ b/typedoc/classes/NetInput.html @@ -1,16 +1,16 @@ -NetInput | @vladmandic/face-api - v1.7.4
    +NetInput | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class NetInput

    @@ -227,7 +227,7 @@ with size [batchSize, inputSize, inputSize, 3].

    Modules

    diff --git a/typedoc/classes/NeuralNetwork.html b/typedoc/classes/NeuralNetwork.html index 58adf7e..bbf57d3 100644 --- a/typedoc/classes/NeuralNetwork.html +++ b/typedoc/classes/NeuralNetwork.html @@ -1,16 +1,16 @@ -NeuralNetwork | @vladmandic/face-api - v1.7.4
    +NeuralNetwork | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class NeuralNetwork<TNetParams>Abstract

    @@ -156,9 +156,9 @@

    getFrozenParams

      - +
    • -

      Returns { path: string; tensor: Tensor }[]

    @@ -177,17 +177,17 @@

    getParamList

      - +
    • -

      Returns { path: string; tensor: Tensor }[]

    getTrainableParams

      - +
    • -

      Returns { path: string; tensor: Tensor }[]

    @@ -289,7 +289,7 @@

    Modules

    diff --git a/typedoc/classes/ObjectDetection.html b/typedoc/classes/ObjectDetection.html index 8da20ac..e7165cc 100644 --- a/typedoc/classes/ObjectDetection.html +++ b/typedoc/classes/ObjectDetection.html @@ -1,16 +1,16 @@ -ObjectDetection | @vladmandic/face-api - v1.7.4
    +ObjectDetection | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class ObjectDetection

    @@ -167,7 +167,7 @@

    Modules

    diff --git a/typedoc/classes/Point.html b/typedoc/classes/Point.html index a6cb5bc..70d9a48 100644 --- a/typedoc/classes/Point.html +++ b/typedoc/classes/Point.html @@ -1,16 +1,16 @@ -Point | @vladmandic/face-api - v1.7.4
    +Point | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class Point

    @@ -178,7 +178,7 @@

    Modules

    diff --git a/typedoc/classes/PredictedBox.html b/typedoc/classes/PredictedBox.html index 6ff7a4c..e5805c8 100644 --- a/typedoc/classes/PredictedBox.html +++ b/typedoc/classes/PredictedBox.html @@ -1,16 +1,16 @@ -PredictedBox | @vladmandic/face-api - v1.7.4
    +PredictedBox | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class PredictedBox

    @@ -291,7 +291,7 @@

    padAtBorders

      - +

    • Parameters

      @@ -300,7 +300,7 @@
      imageHeight: number
    • imageWidth: number
    -

    Returns { dx: number; dy: number; edx: number; edy: number; ex: number; ey: number; h: number; w: number; x: number; y: number }

    +

    Returns {
        dx: number;
        dy: number;
        edx: number;
        edy: number;
        ex: number;
        ey: number;
        h: number;
        w: number;
        x: number;
        y: number;
    }

    • dx: number
      • @@ -452,7 +452,7 @@

      Modules

      diff --git a/typedoc/classes/Rect.html b/typedoc/classes/Rect.html index fd08332..3223b59 100644 --- a/typedoc/classes/Rect.html +++ b/typedoc/classes/Rect.html @@ -1,16 +1,16 @@ -Rect | @vladmandic/face-api - v1.7.4
      +Rect | @vladmandic/face-api - v1.7.5
      +
    • The search index is not available
    @vladmandic/face-api - v1.7.5

    Class Rect

    @@ -271,7 +271,7 @@

    padAtBorders

      - +

    • Parameters

      @@ -280,7 +280,7 @@
      imageHeight: number
    • imageWidth: number
    -

    Returns { dx: number; dy: number; edx: number; edy: number; ex: number; ey: number; h: number; w: number; x: number; y: number }

    +

    Returns {
        dx: number;
        dy: number;
        edx: number;
        edy: number;
        ex: number;
        ey: number;
        h: number;
        w: number;
        x: number;
        y: number;
    }

    • dx: number
      • @@ -401,7 +401,7 @@

      Modules

      diff --git a/typedoc/classes/SsdMobilenetv1.html b/typedoc/classes/SsdMobilenetv1.html index 20116c4..318d230 100644 --- a/typedoc/classes/SsdMobilenetv1.html +++ b/typedoc/classes/SsdMobilenetv1.html @@ -1,16 +1,16 @@ -SsdMobilenetv1 | @vladmandic/face-api - v1.7.4
      +SsdMobilenetv1 | @vladmandic/face-api - v1.7.5
      +
    • The search index is not available
    @vladmandic/face-api - v1.7.5

    Class SsdMobilenetv1

    @@ -178,9 +178,9 @@

    getFrozenParams

      - +
    • -

      Returns { path: string; tensor: Tensor }[]

    @@ -201,18 +201,18 @@

    getParamList

      - +
    • -

      Returns { path: string; tensor: Tensor }[]

    getTrainableParams

      - +
    • -

      Returns { path: string; tensor: Tensor }[]

    @@ -337,7 +337,7 @@

    Modules

    diff --git a/typedoc/classes/SsdMobilenetv1Options.html b/typedoc/classes/SsdMobilenetv1Options.html index 56d1430..eae8112 100644 --- a/typedoc/classes/SsdMobilenetv1Options.html +++ b/typedoc/classes/SsdMobilenetv1Options.html @@ -1,16 +1,16 @@ -SsdMobilenetv1Options | @vladmandic/face-api - v1.7.4
    +SsdMobilenetv1Options | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class SsdMobilenetv1Options

    @@ -82,7 +82,7 @@

    Modules

    diff --git a/typedoc/classes/TinyFaceDetector.html b/typedoc/classes/TinyFaceDetector.html index ac47eaa..e7dfbd5 100644 --- a/typedoc/classes/TinyFaceDetector.html +++ b/typedoc/classes/TinyFaceDetector.html @@ -1,16 +1,16 @@ -TinyFaceDetector | @vladmandic/face-api - v1.7.4
    +TinyFaceDetector | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class TinyFaceDetector

    @@ -247,9 +247,9 @@

    getFrozenParams

      - +
    • -

      Returns { path: string; tensor: Tensor }[]

    @@ -270,18 +270,18 @@

    getParamList

      - +
    • -

      Returns { path: string; tensor: Tensor }[]

    getTrainableParams

      - +
    • -

      Returns { path: string; tensor: Tensor }[]

    @@ -438,7 +438,7 @@

    Modules

    diff --git a/typedoc/classes/TinyFaceDetectorOptions.html b/typedoc/classes/TinyFaceDetectorOptions.html index f52582b..549e364 100644 --- a/typedoc/classes/TinyFaceDetectorOptions.html +++ b/typedoc/classes/TinyFaceDetectorOptions.html @@ -1,16 +1,16 @@ -TinyFaceDetectorOptions | @vladmandic/face-api - v1.7.4
    +TinyFaceDetectorOptions | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class TinyFaceDetectorOptions

    @@ -87,7 +87,7 @@

    Modules

    diff --git a/typedoc/classes/TinyYolov2.html b/typedoc/classes/TinyYolov2.html index eebc643..8087f11 100644 --- a/typedoc/classes/TinyYolov2.html +++ b/typedoc/classes/TinyYolov2.html @@ -1,16 +1,16 @@ -TinyYolov2 | @vladmandic/face-api - v1.7.4
    +TinyYolov2 | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class TinyYolov2

    @@ -261,9 +261,9 @@

    getFrozenParams

      - +
    • -

      Returns { path: string; tensor: Tensor }[]

    @@ -284,18 +284,18 @@

    getParamList

      - +
    • -

      Returns { path: string; tensor: Tensor }[]

    getTrainableParams

      - +
    • -

      Returns { path: string; tensor: Tensor }[]

    @@ -452,7 +452,7 @@

    Modules

    diff --git a/typedoc/classes/TinyYolov2Options.html b/typedoc/classes/TinyYolov2Options.html index d66e29e..bb7c23c 100644 --- a/typedoc/classes/TinyYolov2Options.html +++ b/typedoc/classes/TinyYolov2Options.html @@ -1,16 +1,16 @@ -TinyYolov2Options | @vladmandic/face-api - v1.7.4
    +TinyYolov2Options | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class TinyYolov2Options

    @@ -84,7 +84,7 @@

    Modules

    diff --git a/typedoc/classes/draw.DrawBox.html b/typedoc/classes/draw.DrawBox.html index 363e3e0..2fe4c27 100644 --- a/typedoc/classes/draw.DrawBox.html +++ b/typedoc/classes/draw.DrawBox.html @@ -1,16 +1,16 @@ -DrawBox | @vladmandic/face-api - v1.7.4
    +DrawBox | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class DrawBox

    @@ -98,7 +98,7 @@

    Modules

    diff --git a/typedoc/classes/draw.DrawBoxOptions.html b/typedoc/classes/draw.DrawBoxOptions.html index d9f4691..8b7fe42 100644 --- a/typedoc/classes/draw.DrawBoxOptions.html +++ b/typedoc/classes/draw.DrawBoxOptions.html @@ -1,16 +1,16 @@ -DrawBoxOptions | @vladmandic/face-api - v1.7.4
    +DrawBoxOptions | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class DrawBoxOptions

    @@ -89,7 +89,7 @@

    Modules

    diff --git a/typedoc/classes/draw.DrawFaceLandmarks.html b/typedoc/classes/draw.DrawFaceLandmarks.html index 2e196c0..7c8b46f 100644 --- a/typedoc/classes/draw.DrawFaceLandmarks.html +++ b/typedoc/classes/draw.DrawFaceLandmarks.html @@ -1,16 +1,16 @@ -DrawFaceLandmarks | @vladmandic/face-api - v1.7.4
    +DrawFaceLandmarks | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class DrawFaceLandmarks

    @@ -98,7 +98,7 @@

    Modules

    diff --git a/typedoc/classes/draw.DrawFaceLandmarksOptions.html b/typedoc/classes/draw.DrawFaceLandmarksOptions.html index fe2d997..582cac3 100644 --- a/typedoc/classes/draw.DrawFaceLandmarksOptions.html +++ b/typedoc/classes/draw.DrawFaceLandmarksOptions.html @@ -1,16 +1,16 @@ -DrawFaceLandmarksOptions | @vladmandic/face-api - v1.7.4
    +DrawFaceLandmarksOptions | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class DrawFaceLandmarksOptions

    @@ -101,7 +101,7 @@

    Modules

    diff --git a/typedoc/classes/draw.DrawTextField.html b/typedoc/classes/draw.DrawTextField.html index 75adfd2..a3a6f70 100644 --- a/typedoc/classes/draw.DrawTextField.html +++ b/typedoc/classes/draw.DrawTextField.html @@ -1,16 +1,16 @@ -DrawTextField | @vladmandic/face-api - v1.7.4
    +DrawTextField | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class DrawTextField

    @@ -145,7 +145,7 @@

    Modules

    diff --git a/typedoc/classes/draw.DrawTextFieldOptions.html b/typedoc/classes/draw.DrawTextFieldOptions.html index bfd99e5..4f419c3 100644 --- a/typedoc/classes/draw.DrawTextFieldOptions.html +++ b/typedoc/classes/draw.DrawTextFieldOptions.html @@ -1,16 +1,16 @@ -DrawTextFieldOptions | @vladmandic/face-api - v1.7.4
    +DrawTextFieldOptions | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Class DrawTextFieldOptions

    @@ -111,7 +111,7 @@

    Modules

    diff --git a/typedoc/enums/Gender.html b/typedoc/enums/Gender.html index 17ec3c6..79bc482 100644 --- a/typedoc/enums/Gender.html +++ b/typedoc/enums/Gender.html @@ -1,16 +1,16 @@ -Gender | @vladmandic/face-api - v1.7.4
    +Gender | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Enumeration Gender

    Enumeration AnchorPosition

    Function allFaces

    @@ -43,7 +43,7 @@

    Modules

    diff --git a/typedoc/functions/allFacesSsdMobilenetv1.html b/typedoc/functions/allFacesSsdMobilenetv1.html index 0ff3032..bfbd450 100644 --- a/typedoc/functions/allFacesSsdMobilenetv1.html +++ b/typedoc/functions/allFacesSsdMobilenetv1.html @@ -1,16 +1,16 @@ -allFacesSsdMobilenetv1 | @vladmandic/face-api - v1.7.4
    +allFacesSsdMobilenetv1 | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function allFacesSsdMobilenetv1

    @@ -43,7 +43,7 @@

    Modules

    diff --git a/typedoc/functions/allFacesTinyYolov2.html b/typedoc/functions/allFacesTinyYolov2.html index 2e15fc0..afb08a1 100644 --- a/typedoc/functions/allFacesTinyYolov2.html +++ b/typedoc/functions/allFacesTinyYolov2.html @@ -1,16 +1,16 @@ -allFacesTinyYolov2 | @vladmandic/face-api - v1.7.4
    +allFacesTinyYolov2 | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function allFacesTinyYolov2

    @@ -43,7 +43,7 @@

    Modules

    diff --git a/typedoc/functions/awaitMediaLoaded.html b/typedoc/functions/awaitMediaLoaded.html index a5c6f38..7359663 100644 --- a/typedoc/functions/awaitMediaLoaded.html +++ b/typedoc/functions/awaitMediaLoaded.html @@ -1,16 +1,16 @@ -awaitMediaLoaded | @vladmandic/face-api - v1.7.4
    +awaitMediaLoaded | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function awaitMediaLoaded

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/bufferToImage.html b/typedoc/functions/bufferToImage.html index 0071b84..a83e33e 100644 --- a/typedoc/functions/bufferToImage.html +++ b/typedoc/functions/bufferToImage.html @@ -1,16 +1,16 @@ -bufferToImage | @vladmandic/face-api - v1.7.4
    +bufferToImage | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function bufferToImage

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/computeFaceDescriptor.html b/typedoc/functions/computeFaceDescriptor.html index 219b0de..8d38397 100644 --- a/typedoc/functions/computeFaceDescriptor.html +++ b/typedoc/functions/computeFaceDescriptor.html @@ -1,16 +1,16 @@ -computeFaceDescriptor | @vladmandic/face-api - v1.7.4
    +computeFaceDescriptor | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function computeFaceDescriptor

    @@ -48,7 +48,7 @@ face descriptors.

    Modules

    diff --git a/typedoc/functions/createCanvas.html b/typedoc/functions/createCanvas.html index bc9b98f..79748d6 100644 --- a/typedoc/functions/createCanvas.html +++ b/typedoc/functions/createCanvas.html @@ -1,16 +1,16 @@ -createCanvas | @vladmandic/face-api - v1.7.4
    +createCanvas | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function createCanvas

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/createCanvasFromMedia.html b/typedoc/functions/createCanvasFromMedia.html index abb61fd..33f7433 100644 --- a/typedoc/functions/createCanvasFromMedia.html +++ b/typedoc/functions/createCanvasFromMedia.html @@ -1,16 +1,16 @@ -createCanvasFromMedia | @vladmandic/face-api - v1.7.4
    +createCanvasFromMedia | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function createCanvasFromMedia

    @@ -43,7 +43,7 @@

    Modules

    diff --git a/typedoc/functions/createFaceDetectionNet.html b/typedoc/functions/createFaceDetectionNet.html index 66499be..4331840 100644 --- a/typedoc/functions/createFaceDetectionNet.html +++ b/typedoc/functions/createFaceDetectionNet.html @@ -1,16 +1,16 @@ -createFaceDetectionNet | @vladmandic/face-api - v1.7.4
    +createFaceDetectionNet | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function createFaceDetectionNet

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/createFaceRecognitionNet.html b/typedoc/functions/createFaceRecognitionNet.html index 047965f..3eb8c13 100644 --- a/typedoc/functions/createFaceRecognitionNet.html +++ b/typedoc/functions/createFaceRecognitionNet.html @@ -1,16 +1,16 @@ -createFaceRecognitionNet | @vladmandic/face-api - v1.7.4
    +createFaceRecognitionNet | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function createFaceRecognitionNet

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/createSsdMobilenetv1.html b/typedoc/functions/createSsdMobilenetv1.html index 3f4432b..05e62e3 100644 --- a/typedoc/functions/createSsdMobilenetv1.html +++ b/typedoc/functions/createSsdMobilenetv1.html @@ -1,16 +1,16 @@ -createSsdMobilenetv1 | @vladmandic/face-api - v1.7.4
    +createSsdMobilenetv1 | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function createSsdMobilenetv1

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/createTinyFaceDetector.html b/typedoc/functions/createTinyFaceDetector.html index df8c8c0..95405b3 100644 --- a/typedoc/functions/createTinyFaceDetector.html +++ b/typedoc/functions/createTinyFaceDetector.html @@ -1,16 +1,16 @@ -createTinyFaceDetector | @vladmandic/face-api - v1.7.4
    +createTinyFaceDetector | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function createTinyFaceDetector

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/createTinyYolov2.html b/typedoc/functions/createTinyYolov2.html index c42d493..674960a 100644 --- a/typedoc/functions/createTinyYolov2.html +++ b/typedoc/functions/createTinyYolov2.html @@ -1,16 +1,16 @@ -createTinyYolov2 | @vladmandic/face-api - v1.7.4
    +createTinyYolov2 | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function createTinyYolov2

    @@ -43,7 +43,7 @@

    Modules

    diff --git a/typedoc/functions/detectAllFaces.html b/typedoc/functions/detectAllFaces.html index bda9ddd..2171471 100644 --- a/typedoc/functions/detectAllFaces.html +++ b/typedoc/functions/detectAllFaces.html @@ -1,16 +1,16 @@ -detectAllFaces | @vladmandic/face-api - v1.7.4
    +detectAllFaces | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function detectAllFaces

    @@ -43,7 +43,7 @@

    Modules

    diff --git a/typedoc/functions/detectFaceLandmarks.html b/typedoc/functions/detectFaceLandmarks.html index 9ad9d4c..7adedc2 100644 --- a/typedoc/functions/detectFaceLandmarks.html +++ b/typedoc/functions/detectFaceLandmarks.html @@ -1,16 +1,16 @@ -detectFaceLandmarks | @vladmandic/face-api - v1.7.4
    +detectFaceLandmarks | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function detectFaceLandmarks

    @@ -45,7 +45,7 @@

    Modules

    diff --git a/typedoc/functions/detectFaceLandmarksTiny.html b/typedoc/functions/detectFaceLandmarksTiny.html index f98d8ae..8ff8393 100644 --- a/typedoc/functions/detectFaceLandmarksTiny.html +++ b/typedoc/functions/detectFaceLandmarksTiny.html @@ -1,16 +1,16 @@ -detectFaceLandmarksTiny | @vladmandic/face-api - v1.7.4
    +detectFaceLandmarksTiny | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function detectFaceLandmarksTiny

    @@ -47,7 +47,7 @@ faster at inference, but also slightly less accurate.

    Modules

    diff --git a/typedoc/functions/detectLandmarks.html b/typedoc/functions/detectLandmarks.html index 7a9fca8..a72c5f8 100644 --- a/typedoc/functions/detectLandmarks.html +++ b/typedoc/functions/detectLandmarks.html @@ -1,16 +1,16 @@ -detectLandmarks | @vladmandic/face-api - v1.7.4
    +detectLandmarks | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function detectLandmarks

    @@ -45,7 +45,7 @@

    Modules

    diff --git a/typedoc/functions/detectSingleFace.html b/typedoc/functions/detectSingleFace.html index 22abf56..3f8495a 100644 --- a/typedoc/functions/detectSingleFace.html +++ b/typedoc/functions/detectSingleFace.html @@ -1,16 +1,16 @@ -detectSingleFace | @vladmandic/face-api - v1.7.4
    +detectSingleFace | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function detectSingleFace

    @@ -43,7 +43,7 @@

    Modules

    diff --git a/typedoc/functions/draw.drawContour.html b/typedoc/functions/draw.drawContour.html index 86e65e8..b460441 100644 --- a/typedoc/functions/draw.drawContour.html +++ b/typedoc/functions/draw.drawContour.html @@ -1,16 +1,16 @@ -drawContour | @vladmandic/face-api - v1.7.4
    +drawContour | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function drawContour

    @@ -46,7 +46,7 @@

    Modules

    diff --git a/typedoc/functions/draw.drawDetections.html b/typedoc/functions/draw.drawDetections.html index 05941e4..fae476d 100644 --- a/typedoc/functions/draw.drawDetections.html +++ b/typedoc/functions/draw.drawDetections.html @@ -1,16 +1,16 @@ -drawDetections | @vladmandic/face-api - v1.7.4
    +drawDetections | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function drawDetections

    @@ -44,7 +44,7 @@

    Modules

    diff --git a/typedoc/functions/draw.drawFaceExpressions.html b/typedoc/functions/draw.drawFaceExpressions.html index 4806411..737836b 100644 --- a/typedoc/functions/draw.drawFaceExpressions.html +++ b/typedoc/functions/draw.drawFaceExpressions.html @@ -1,16 +1,16 @@ -drawFaceExpressions | @vladmandic/face-api - v1.7.4
    +drawFaceExpressions | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function drawFaceExpressions

    @@ -48,7 +48,7 @@

    Modules

    diff --git a/typedoc/functions/draw.drawFaceLandmarks-1.html b/typedoc/functions/draw.drawFaceLandmarks-1.html index 3d19ee4..1d2040a 100644 --- a/typedoc/functions/draw.drawFaceLandmarks-1.html +++ b/typedoc/functions/draw.drawFaceLandmarks-1.html @@ -1,16 +1,16 @@ -drawFaceLandmarks | @vladmandic/face-api - v1.7.4
    +drawFaceLandmarks | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function drawFaceLandmarks

    @@ -44,7 +44,7 @@

    Modules

    diff --git a/typedoc/functions/euclideanDistance.html b/typedoc/functions/euclideanDistance.html index 46ba2d6..433c76a 100644 --- a/typedoc/functions/euclideanDistance.html +++ b/typedoc/functions/euclideanDistance.html @@ -1,16 +1,16 @@ -euclideanDistance | @vladmandic/face-api - v1.7.4
    +euclideanDistance | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function euclideanDistance

    @@ -43,7 +43,7 @@

    Modules

    diff --git a/typedoc/functions/extendWithAge.html b/typedoc/functions/extendWithAge.html index fcbfa9a..6ac99bc 100644 --- a/typedoc/functions/extendWithAge.html +++ b/typedoc/functions/extendWithAge.html @@ -1,16 +1,16 @@ -extendWithAge | @vladmandic/face-api - v1.7.4
    +extendWithAge | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function extendWithAge

    @@ -48,7 +48,7 @@

    Modules

    diff --git a/typedoc/functions/extendWithFaceDescriptor.html b/typedoc/functions/extendWithFaceDescriptor.html index b3524b3..0fbfa4a 100644 --- a/typedoc/functions/extendWithFaceDescriptor.html +++ b/typedoc/functions/extendWithFaceDescriptor.html @@ -1,16 +1,16 @@ -extendWithFaceDescriptor | @vladmandic/face-api - v1.7.4
    +extendWithFaceDescriptor | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function extendWithFaceDescriptor

    @@ -48,7 +48,7 @@

    Modules

    diff --git a/typedoc/functions/extendWithFaceDetection.html b/typedoc/functions/extendWithFaceDetection.html index 787e677..0884eb1 100644 --- a/typedoc/functions/extendWithFaceDetection.html +++ b/typedoc/functions/extendWithFaceDetection.html @@ -1,16 +1,16 @@ -extendWithFaceDetection | @vladmandic/face-api - v1.7.4
    +extendWithFaceDetection | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function extendWithFaceDetection

    @@ -48,7 +48,7 @@

    Modules

    diff --git a/typedoc/functions/extendWithFaceExpressions.html b/typedoc/functions/extendWithFaceExpressions.html index b8e1081..ddd3b6d 100644 --- a/typedoc/functions/extendWithFaceExpressions.html +++ b/typedoc/functions/extendWithFaceExpressions.html @@ -1,16 +1,16 @@ -extendWithFaceExpressions | @vladmandic/face-api - v1.7.4
    +extendWithFaceExpressions | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function extendWithFaceExpressions

    @@ -48,7 +48,7 @@

    Modules

    diff --git a/typedoc/functions/extendWithFaceLandmarks.html b/typedoc/functions/extendWithFaceLandmarks.html index 15cf59a..c63d65a 100644 --- a/typedoc/functions/extendWithFaceLandmarks.html +++ b/typedoc/functions/extendWithFaceLandmarks.html @@ -1,16 +1,16 @@ -extendWithFaceLandmarks | @vladmandic/face-api - v1.7.4
    +extendWithFaceLandmarks | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function extendWithFaceLandmarks

    @@ -21,7 +21,7 @@

    Type Parameters

    @@ -50,7 +50,7 @@

    Modules

    diff --git a/typedoc/functions/extendWithGender.html b/typedoc/functions/extendWithGender.html index fc28a61..d522fda 100644 --- a/typedoc/functions/extendWithGender.html +++ b/typedoc/functions/extendWithGender.html @@ -1,16 +1,16 @@ -extendWithGender | @vladmandic/face-api - v1.7.4
    +extendWithGender | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function extendWithGender

    @@ -50,7 +50,7 @@

    Modules

    diff --git a/typedoc/functions/extractFaceTensors.html b/typedoc/functions/extractFaceTensors.html index e960986..8fac952 100644 --- a/typedoc/functions/extractFaceTensors.html +++ b/typedoc/functions/extractFaceTensors.html @@ -1,16 +1,16 @@ -extractFaceTensors | @vladmandic/face-api - v1.7.4
    +extractFaceTensors | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function extractFaceTensors

    @@ -54,7 +54,7 @@ converting them to tensors individually.

    Modules

    diff --git a/typedoc/functions/extractFaces.html b/typedoc/functions/extractFaces.html index 975ed7d..8d58776 100644 --- a/typedoc/functions/extractFaces.html +++ b/typedoc/functions/extractFaces.html @@ -1,16 +1,16 @@ -extractFaces | @vladmandic/face-api - v1.7.4
    +extractFaces | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function extractFaces

    @@ -51,7 +51,7 @@

    Modules

    diff --git a/typedoc/functions/fetchImage.html b/typedoc/functions/fetchImage.html index 09225ec..12809d0 100644 --- a/typedoc/functions/fetchImage.html +++ b/typedoc/functions/fetchImage.html @@ -1,16 +1,16 @@ -fetchImage | @vladmandic/face-api - v1.7.4
    +fetchImage | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function fetchImage

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/fetchJson.html b/typedoc/functions/fetchJson.html index 7c60236..2696070 100644 --- a/typedoc/functions/fetchJson.html +++ b/typedoc/functions/fetchJson.html @@ -1,16 +1,16 @@ -fetchJson | @vladmandic/face-api - v1.7.4
    +fetchJson | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function fetchJson

    @@ -46,7 +46,7 @@

    Modules

    diff --git a/typedoc/functions/fetchNetWeights.html b/typedoc/functions/fetchNetWeights.html index 92b3bff..3daf68b 100644 --- a/typedoc/functions/fetchNetWeights.html +++ b/typedoc/functions/fetchNetWeights.html @@ -1,16 +1,16 @@ -fetchNetWeights | @vladmandic/face-api - v1.7.4
    +fetchNetWeights | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function fetchNetWeights

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/fetchOrThrow.html b/typedoc/functions/fetchOrThrow.html index daf9e94..24aa448 100644 --- a/typedoc/functions/fetchOrThrow.html +++ b/typedoc/functions/fetchOrThrow.html @@ -1,16 +1,16 @@ -fetchOrThrow | @vladmandic/face-api - v1.7.4
    +fetchOrThrow | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function fetchOrThrow

    @@ -43,7 +43,7 @@

    Modules

    diff --git a/typedoc/functions/fetchVideo.html b/typedoc/functions/fetchVideo.html index 45d18e9..3168196 100644 --- a/typedoc/functions/fetchVideo.html +++ b/typedoc/functions/fetchVideo.html @@ -1,16 +1,16 @@ -fetchVideo | @vladmandic/face-api - v1.7.4
    +fetchVideo | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function fetchVideo

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/getContext2dOrThrow.html b/typedoc/functions/getContext2dOrThrow.html index b565ed7..7a2665b 100644 --- a/typedoc/functions/getContext2dOrThrow.html +++ b/typedoc/functions/getContext2dOrThrow.html @@ -1,16 +1,16 @@ -getContext2dOrThrow | @vladmandic/face-api - v1.7.4
    +getContext2dOrThrow | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function getContext2dOrThrow

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/getMediaDimensions.html b/typedoc/functions/getMediaDimensions.html index 58155af..1f45cea 100644 --- a/typedoc/functions/getMediaDimensions.html +++ b/typedoc/functions/getMediaDimensions.html @@ -1,16 +1,16 @@ -getMediaDimensions | @vladmandic/face-api - v1.7.4
    +getMediaDimensions | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function getMediaDimensions

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/imageTensorToCanvas.html b/typedoc/functions/imageTensorToCanvas.html index 3ccd193..d4e72ea 100644 --- a/typedoc/functions/imageTensorToCanvas.html +++ b/typedoc/functions/imageTensorToCanvas.html @@ -1,16 +1,16 @@ -imageTensorToCanvas | @vladmandic/face-api - v1.7.4
    +imageTensorToCanvas | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function imageTensorToCanvas

    @@ -43,7 +43,7 @@

    Modules

    diff --git a/typedoc/functions/imageToSquare.html b/typedoc/functions/imageToSquare.html index 43b1b8b..638d550 100644 --- a/typedoc/functions/imageToSquare.html +++ b/typedoc/functions/imageToSquare.html @@ -1,16 +1,16 @@ -imageToSquare | @vladmandic/face-api - v1.7.4
    +imageToSquare | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function imageToSquare

    @@ -45,7 +45,7 @@

    Modules

    diff --git a/typedoc/functions/inverseSigmoid.html b/typedoc/functions/inverseSigmoid.html index 2ac726a..c965032 100644 --- a/typedoc/functions/inverseSigmoid.html +++ b/typedoc/functions/inverseSigmoid.html @@ -1,16 +1,16 @@ -inverseSigmoid | @vladmandic/face-api - v1.7.4
    +inverseSigmoid | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function inverseSigmoid

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/iou.html b/typedoc/functions/iou.html index 9afe645..6831c0f 100644 --- a/typedoc/functions/iou.html +++ b/typedoc/functions/iou.html @@ -1,16 +1,16 @@ -iou | @vladmandic/face-api - v1.7.4
    +iou | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function iou

    @@ -45,7 +45,7 @@

    Modules

    diff --git a/typedoc/functions/isMediaElement.html b/typedoc/functions/isMediaElement.html index 7d0a2d4..d952b6a 100644 --- a/typedoc/functions/isMediaElement.html +++ b/typedoc/functions/isMediaElement.html @@ -1,16 +1,16 @@ -isMediaElement | @vladmandic/face-api - v1.7.4
    +isMediaElement | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function isMediaElement

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/isMediaLoaded.html b/typedoc/functions/isMediaLoaded.html index 8f00926..ab03b66 100644 --- a/typedoc/functions/isMediaLoaded.html +++ b/typedoc/functions/isMediaLoaded.html @@ -1,16 +1,16 @@ -isMediaLoaded | @vladmandic/face-api - v1.7.4
    +isMediaLoaded | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function isMediaLoaded

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/isWithAge.html b/typedoc/functions/isWithAge.html index 701ab85..d1e9763 100644 --- a/typedoc/functions/isWithAge.html +++ b/typedoc/functions/isWithAge.html @@ -1,28 +1,28 @@ -isWithAge | @vladmandic/face-api - v1.7.4
    +isWithAge | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function isWithAge

      - +

    • Parameters

      • obj: any
      -

      Returns obj is { age: number }

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/isWithFaceDetection.html b/typedoc/functions/isWithFaceDetection.html index 19d5be9..da8de0f 100644 --- a/typedoc/functions/isWithFaceDetection.html +++ b/typedoc/functions/isWithFaceDetection.html @@ -1,28 +1,28 @@ -isWithFaceDetection | @vladmandic/face-api - v1.7.4
    +isWithFaceDetection | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function isWithFaceDetection

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/isWithFaceExpressions.html b/typedoc/functions/isWithFaceExpressions.html index 275a51b..d40fa59 100644 --- a/typedoc/functions/isWithFaceExpressions.html +++ b/typedoc/functions/isWithFaceExpressions.html @@ -1,28 +1,28 @@ -isWithFaceExpressions | @vladmandic/face-api - v1.7.4
    +isWithFaceExpressions | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function isWithFaceExpressions

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/isWithFaceLandmarks.html b/typedoc/functions/isWithFaceLandmarks.html index 2f0348d..486e99a 100644 --- a/typedoc/functions/isWithFaceLandmarks.html +++ b/typedoc/functions/isWithFaceLandmarks.html @@ -1,28 +1,28 @@ -isWithFaceLandmarks | @vladmandic/face-api - v1.7.4
    +isWithFaceLandmarks | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function isWithFaceLandmarks

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/isWithGender.html b/typedoc/functions/isWithGender.html index 836106e..719ea3f 100644 --- a/typedoc/functions/isWithGender.html +++ b/typedoc/functions/isWithGender.html @@ -1,28 +1,28 @@ -isWithGender | @vladmandic/face-api - v1.7.4
    +isWithGender | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function isWithGender

      - +

    • Parameters

      • obj: any
      -

      Returns obj is { gender: Gender; genderProbability: number }

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/loadAgeGenderModel.html b/typedoc/functions/loadAgeGenderModel.html index 95d7f56..7d2cdd1 100644 --- a/typedoc/functions/loadAgeGenderModel.html +++ b/typedoc/functions/loadAgeGenderModel.html @@ -1,16 +1,16 @@ -loadAgeGenderModel | @vladmandic/face-api - v1.7.4
    +loadAgeGenderModel | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function loadAgeGenderModel

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/loadFaceDetectionModel.html b/typedoc/functions/loadFaceDetectionModel.html index 1fdd87d..516ebdf 100644 --- a/typedoc/functions/loadFaceDetectionModel.html +++ b/typedoc/functions/loadFaceDetectionModel.html @@ -1,16 +1,16 @@ -loadFaceDetectionModel | @vladmandic/face-api - v1.7.4
    +loadFaceDetectionModel | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function loadFaceDetectionModel

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/loadFaceExpressionModel.html b/typedoc/functions/loadFaceExpressionModel.html index afc6b49..3265db2 100644 --- a/typedoc/functions/loadFaceExpressionModel.html +++ b/typedoc/functions/loadFaceExpressionModel.html @@ -1,16 +1,16 @@ -loadFaceExpressionModel | @vladmandic/face-api - v1.7.4
    +loadFaceExpressionModel | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function loadFaceExpressionModel

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/loadFaceLandmarkModel.html b/typedoc/functions/loadFaceLandmarkModel.html index fd249d3..6655bc5 100644 --- a/typedoc/functions/loadFaceLandmarkModel.html +++ b/typedoc/functions/loadFaceLandmarkModel.html @@ -1,16 +1,16 @@ -loadFaceLandmarkModel | @vladmandic/face-api - v1.7.4
    +loadFaceLandmarkModel | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function loadFaceLandmarkModel

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/loadFaceLandmarkTinyModel.html b/typedoc/functions/loadFaceLandmarkTinyModel.html index 3aab471..39bf1cc 100644 --- a/typedoc/functions/loadFaceLandmarkTinyModel.html +++ b/typedoc/functions/loadFaceLandmarkTinyModel.html @@ -1,16 +1,16 @@ -loadFaceLandmarkTinyModel | @vladmandic/face-api - v1.7.4
    +loadFaceLandmarkTinyModel | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function loadFaceLandmarkTinyModel

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/loadFaceRecognitionModel.html b/typedoc/functions/loadFaceRecognitionModel.html index 9be5eb5..79de02f 100644 --- a/typedoc/functions/loadFaceRecognitionModel.html +++ b/typedoc/functions/loadFaceRecognitionModel.html @@ -1,16 +1,16 @@ -loadFaceRecognitionModel | @vladmandic/face-api - v1.7.4
    +loadFaceRecognitionModel | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function loadFaceRecognitionModel

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/loadSsdMobilenetv1Model.html b/typedoc/functions/loadSsdMobilenetv1Model.html index 93b5683..7a910db 100644 --- a/typedoc/functions/loadSsdMobilenetv1Model.html +++ b/typedoc/functions/loadSsdMobilenetv1Model.html @@ -1,16 +1,16 @@ -loadSsdMobilenetv1Model | @vladmandic/face-api - v1.7.4
    +loadSsdMobilenetv1Model | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function loadSsdMobilenetv1Model

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/loadTinyFaceDetectorModel.html b/typedoc/functions/loadTinyFaceDetectorModel.html index f09df48..abd1403 100644 --- a/typedoc/functions/loadTinyFaceDetectorModel.html +++ b/typedoc/functions/loadTinyFaceDetectorModel.html @@ -1,16 +1,16 @@ -loadTinyFaceDetectorModel | @vladmandic/face-api - v1.7.4
    +loadTinyFaceDetectorModel | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function loadTinyFaceDetectorModel

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/loadTinyYolov2Model.html b/typedoc/functions/loadTinyYolov2Model.html index 37d45bc..c921c3f 100644 --- a/typedoc/functions/loadTinyYolov2Model.html +++ b/typedoc/functions/loadTinyYolov2Model.html @@ -1,16 +1,16 @@ -loadTinyYolov2Model | @vladmandic/face-api - v1.7.4
    +loadTinyYolov2Model | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function loadTinyYolov2Model

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/loadWeightMap.html b/typedoc/functions/loadWeightMap.html index 8913d82..86752d2 100644 --- a/typedoc/functions/loadWeightMap.html +++ b/typedoc/functions/loadWeightMap.html @@ -1,16 +1,16 @@ -loadWeightMap | @vladmandic/face-api - v1.7.4
    +loadWeightMap | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function loadWeightMap

    @@ -43,7 +43,7 @@

    Modules

    diff --git a/typedoc/functions/locateFaces.html b/typedoc/functions/locateFaces.html index 0d7a545..a3d6cf3 100644 --- a/typedoc/functions/locateFaces.html +++ b/typedoc/functions/locateFaces.html @@ -1,16 +1,16 @@ -locateFaces | @vladmandic/face-api - v1.7.4
    +locateFaces | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function locateFaces

    @@ -51,7 +51,7 @@

    Modules

    diff --git a/typedoc/functions/matchDimensions.html b/typedoc/functions/matchDimensions.html index ee8547e..4855b45 100644 --- a/typedoc/functions/matchDimensions.html +++ b/typedoc/functions/matchDimensions.html @@ -1,21 +1,21 @@ -matchDimensions | @vladmandic/face-api - v1.7.4
    +matchDimensions | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function matchDimensions

      - +

    • Parameters

      @@ -26,7 +26,7 @@
      reference: IDimensions
    • useMediaDimensions: boolean = false
    -

    Returns { height: number; width: number }

    +

    Returns {
        height: number;
        width: number;
    }

    • height: number
      • @@ -50,7 +50,7 @@

      Modules

      diff --git a/typedoc/functions/minBbox.html b/typedoc/functions/minBbox.html index 77d4fdf..8eb7a4b 100644 --- a/typedoc/functions/minBbox.html +++ b/typedoc/functions/minBbox.html @@ -1,16 +1,16 @@ -minBbox | @vladmandic/face-api - v1.7.4
      +minBbox | @vladmandic/face-api - v1.7.5
      +
    • The search index is not available
    @vladmandic/face-api - v1.7.5

    Function minBbox

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/nonMaxSuppression.html b/typedoc/functions/nonMaxSuppression.html index d3db055..1776c70 100644 --- a/typedoc/functions/nonMaxSuppression.html +++ b/typedoc/functions/nonMaxSuppression.html @@ -1,16 +1,16 @@ -nonMaxSuppression | @vladmandic/face-api - v1.7.4
    +nonMaxSuppression | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function nonMaxSuppression

    @@ -47,7 +47,7 @@

    Modules

    diff --git a/typedoc/functions/normalize.html b/typedoc/functions/normalize.html index c813752..7af5eac 100644 --- a/typedoc/functions/normalize.html +++ b/typedoc/functions/normalize.html @@ -1,16 +1,16 @@ -normalize | @vladmandic/face-api - v1.7.4
    +normalize | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function normalize

    @@ -43,7 +43,7 @@

    Modules

    diff --git a/typedoc/functions/padToSquare.html b/typedoc/functions/padToSquare.html index 5b246e7..bb5fa3c 100644 --- a/typedoc/functions/padToSquare.html +++ b/typedoc/functions/padToSquare.html @@ -1,16 +1,16 @@ -padToSquare | @vladmandic/face-api - v1.7.4
    +padToSquare | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function padToSquare

    @@ -52,7 +52,7 @@ both sides of the minor dimension oof the image.

    Modules

    diff --git a/typedoc/functions/predictAgeAndGender.html b/typedoc/functions/predictAgeAndGender.html index 2716942..93f35eb 100644 --- a/typedoc/functions/predictAgeAndGender.html +++ b/typedoc/functions/predictAgeAndGender.html @@ -1,16 +1,16 @@ -predictAgeAndGender | @vladmandic/face-api - v1.7.4
    +predictAgeAndGender | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function predictAgeAndGender

    @@ -45,7 +45,7 @@

    Modules

    diff --git a/typedoc/functions/recognizeFaceExpressions.html b/typedoc/functions/recognizeFaceExpressions.html index 185e0cb..0722ee3 100644 --- a/typedoc/functions/recognizeFaceExpressions.html +++ b/typedoc/functions/recognizeFaceExpressions.html @@ -1,16 +1,16 @@ -recognizeFaceExpressions | @vladmandic/face-api - v1.7.4
    +recognizeFaceExpressions | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function recognizeFaceExpressions

    @@ -45,7 +45,7 @@

    Modules

    diff --git a/typedoc/functions/resizeResults.html b/typedoc/functions/resizeResults.html index 75dc5b9..26fc997 100644 --- a/typedoc/functions/resizeResults.html +++ b/typedoc/functions/resizeResults.html @@ -1,16 +1,16 @@ -resizeResults | @vladmandic/face-api - v1.7.4
    +resizeResults | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function resizeResults

    @@ -48,7 +48,7 @@

    Modules

    diff --git a/typedoc/functions/resolveInput.html b/typedoc/functions/resolveInput.html index 205ac37..33583f0 100644 --- a/typedoc/functions/resolveInput.html +++ b/typedoc/functions/resolveInput.html @@ -1,16 +1,16 @@ -resolveInput | @vladmandic/face-api - v1.7.4
    +resolveInput | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function resolveInput

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/shuffleArray.html b/typedoc/functions/shuffleArray.html index f7bea4d..9aa542d 100644 --- a/typedoc/functions/shuffleArray.html +++ b/typedoc/functions/shuffleArray.html @@ -1,16 +1,16 @@ -shuffleArray | @vladmandic/face-api - v1.7.4
    +shuffleArray | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function shuffleArray

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/sigmoid.html b/typedoc/functions/sigmoid.html index cdd7a4c..b1b1fd7 100644 --- a/typedoc/functions/sigmoid.html +++ b/typedoc/functions/sigmoid.html @@ -1,16 +1,16 @@ -sigmoid | @vladmandic/face-api - v1.7.4
    +sigmoid | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function sigmoid

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/functions/ssdMobilenetv1-1.html b/typedoc/functions/ssdMobilenetv1-1.html index 13a15ec..abbdd97 100644 --- a/typedoc/functions/ssdMobilenetv1-1.html +++ b/typedoc/functions/ssdMobilenetv1-1.html @@ -1,16 +1,16 @@ -ssdMobilenetv1 | @vladmandic/face-api - v1.7.4
    +ssdMobilenetv1 | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function ssdMobilenetv1

    @@ -51,7 +51,7 @@

    Modules

    diff --git a/typedoc/functions/tinyFaceDetector-1.html b/typedoc/functions/tinyFaceDetector-1.html index 004a17d..236e172 100644 --- a/typedoc/functions/tinyFaceDetector-1.html +++ b/typedoc/functions/tinyFaceDetector-1.html @@ -1,16 +1,16 @@ -tinyFaceDetector | @vladmandic/face-api - v1.7.4
    +tinyFaceDetector | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function tinyFaceDetector

    @@ -51,7 +51,7 @@

    Modules

    diff --git a/typedoc/functions/tinyYolov2-1.html b/typedoc/functions/tinyYolov2-1.html index 8d7caae..8e687f3 100644 --- a/typedoc/functions/tinyYolov2-1.html +++ b/typedoc/functions/tinyYolov2-1.html @@ -1,16 +1,16 @@ -tinyYolov2 | @vladmandic/face-api - v1.7.4
    +tinyYolov2 | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function tinyYolov2

    @@ -51,7 +51,7 @@

    Modules

    diff --git a/typedoc/functions/toNetInput.html b/typedoc/functions/toNetInput.html index 91fbeab..71ddf3a 100644 --- a/typedoc/functions/toNetInput.html +++ b/typedoc/functions/toNetInput.html @@ -1,16 +1,16 @@ -toNetInput | @vladmandic/face-api - v1.7.4
    +toNetInput | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function toNetInput

    @@ -46,7 +46,7 @@ to be finished loading.

    Modules

    diff --git a/typedoc/functions/utils.computeReshapedDimensions.html b/typedoc/functions/utils.computeReshapedDimensions.html index abb418f..7d6c140 100644 --- a/typedoc/functions/utils.computeReshapedDimensions.html +++ b/typedoc/functions/utils.computeReshapedDimensions.html @@ -1,16 +1,16 @@ -computeReshapedDimensions | @vladmandic/face-api - v1.7.4
    +computeReshapedDimensions | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function computeReshapedDimensions

    @@ -44,7 +44,7 @@

    Modules

    diff --git a/typedoc/functions/utils.getCenterPoint.html b/typedoc/functions/utils.getCenterPoint.html index edba288..fc24a0f 100644 --- a/typedoc/functions/utils.getCenterPoint.html +++ b/typedoc/functions/utils.getCenterPoint.html @@ -1,16 +1,16 @@ -getCenterPoint | @vladmandic/face-api - v1.7.4
    +getCenterPoint | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function getCenterPoint

    @@ -42,7 +42,7 @@

    Modules

    diff --git a/typedoc/functions/utils.isDimensions.html b/typedoc/functions/utils.isDimensions.html index 4b7e265..d07e611 100644 --- a/typedoc/functions/utils.isDimensions.html +++ b/typedoc/functions/utils.isDimensions.html @@ -1,16 +1,16 @@ -isDimensions | @vladmandic/face-api - v1.7.4
    +isDimensions | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function isDimensions

    @@ -42,7 +42,7 @@

    Modules

    diff --git a/typedoc/functions/utils.isEven.html b/typedoc/functions/utils.isEven.html index ba16e0e..ebc7270 100644 --- a/typedoc/functions/utils.isEven.html +++ b/typedoc/functions/utils.isEven.html @@ -1,16 +1,16 @@ -isEven | @vladmandic/face-api - v1.7.4
    +isEven | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function isEven

    @@ -42,7 +42,7 @@

    Modules

    diff --git a/typedoc/functions/utils.isFloat.html b/typedoc/functions/utils.isFloat.html index 90dab32..35c543d 100644 --- a/typedoc/functions/utils.isFloat.html +++ b/typedoc/functions/utils.isFloat.html @@ -1,16 +1,16 @@ -isFloat | @vladmandic/face-api - v1.7.4
    +isFloat | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function isFloat

    @@ -42,7 +42,7 @@

    Modules

    diff --git a/typedoc/functions/utils.isTensor.html b/typedoc/functions/utils.isTensor.html index 3831b8a..a8ecbe9 100644 --- a/typedoc/functions/utils.isTensor.html +++ b/typedoc/functions/utils.isTensor.html @@ -1,16 +1,16 @@ -isTensor | @vladmandic/face-api - v1.7.4
    +isTensor | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function isTensor

    @@ -44,7 +44,7 @@

    Modules

    diff --git a/typedoc/functions/utils.isTensor1D.html b/typedoc/functions/utils.isTensor1D.html index 32c4c75..3545700 100644 --- a/typedoc/functions/utils.isTensor1D.html +++ b/typedoc/functions/utils.isTensor1D.html @@ -1,16 +1,16 @@ -isTensor1D | @vladmandic/face-api - v1.7.4
    +isTensor1D | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function isTensor1D

    @@ -42,7 +42,7 @@

    Modules

    diff --git a/typedoc/functions/utils.isTensor2D.html b/typedoc/functions/utils.isTensor2D.html index 9241b44..87b3a03 100644 --- a/typedoc/functions/utils.isTensor2D.html +++ b/typedoc/functions/utils.isTensor2D.html @@ -1,16 +1,16 @@ -isTensor2D | @vladmandic/face-api - v1.7.4
    +isTensor2D | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function isTensor2D

    @@ -42,7 +42,7 @@

    Modules

    diff --git a/typedoc/functions/utils.isTensor3D.html b/typedoc/functions/utils.isTensor3D.html index 53cc879..5d08936 100644 --- a/typedoc/functions/utils.isTensor3D.html +++ b/typedoc/functions/utils.isTensor3D.html @@ -1,16 +1,16 @@ -isTensor3D | @vladmandic/face-api - v1.7.4
    +isTensor3D | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function isTensor3D

    @@ -42,7 +42,7 @@

    Modules

    diff --git a/typedoc/functions/utils.isTensor4D.html b/typedoc/functions/utils.isTensor4D.html index f59b444..b1ced71 100644 --- a/typedoc/functions/utils.isTensor4D.html +++ b/typedoc/functions/utils.isTensor4D.html @@ -1,16 +1,16 @@ -isTensor4D | @vladmandic/face-api - v1.7.4
    +isTensor4D | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function isTensor4D

    @@ -42,7 +42,7 @@

    Modules

    diff --git a/typedoc/functions/utils.isValidNumber.html b/typedoc/functions/utils.isValidNumber.html index c97f3f2..20f646f 100644 --- a/typedoc/functions/utils.isValidNumber.html +++ b/typedoc/functions/utils.isValidNumber.html @@ -1,16 +1,16 @@ -isValidNumber | @vladmandic/face-api - v1.7.4
    +isValidNumber | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function isValidNumber

    @@ -42,7 +42,7 @@

    Modules

    diff --git a/typedoc/functions/utils.isValidProbablitiy.html b/typedoc/functions/utils.isValidProbablitiy.html index 7e33077..f4d5a99 100644 --- a/typedoc/functions/utils.isValidProbablitiy.html +++ b/typedoc/functions/utils.isValidProbablitiy.html @@ -1,16 +1,16 @@ -isValidProbablitiy | @vladmandic/face-api - v1.7.4
    +isValidProbablitiy | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function isValidProbablitiy

    @@ -42,7 +42,7 @@

    Modules

    diff --git a/typedoc/functions/utils.range.html b/typedoc/functions/utils.range.html index 2d5712f..ea853ae 100644 --- a/typedoc/functions/utils.range.html +++ b/typedoc/functions/utils.range.html @@ -1,16 +1,16 @@ -range | @vladmandic/face-api - v1.7.4
    +range | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function range

    @@ -46,7 +46,7 @@

    Modules

    diff --git a/typedoc/functions/utils.round.html b/typedoc/functions/utils.round.html index b4def62..c4289c7 100644 --- a/typedoc/functions/utils.round.html +++ b/typedoc/functions/utils.round.html @@ -1,16 +1,16 @@ -round | @vladmandic/face-api - v1.7.4
    +round | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function round

    @@ -44,7 +44,7 @@

    Modules

    diff --git a/typedoc/functions/validateConfig.html b/typedoc/functions/validateConfig.html index 3f184bf..7085bd3 100644 --- a/typedoc/functions/validateConfig.html +++ b/typedoc/functions/validateConfig.html @@ -1,16 +1,16 @@ -validateConfig | @vladmandic/face-api - v1.7.4
    +validateConfig | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Function validateConfig

    @@ -41,7 +41,7 @@

    Modules

    diff --git a/typedoc/index.html b/typedoc/index.html index be3160f..fc04b33 100644 --- a/typedoc/index.html +++ b/typedoc/index.html @@ -1,15 +1,15 @@ -@vladmandic/face-api - v1.7.4
    +@vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5
    -

    @vladmandic/face-api - v1.7.4

    +

    @vladmandic/face-api - v1.7.5

    @@ -214,7 +214,7 @@

    Modules
    diff --git a/typedoc/interfaces/IBoundingBox.html b/typedoc/interfaces/IBoundingBox.html index 88c03f0..8df7122 100644 --- a/typedoc/interfaces/IBoundingBox.html +++ b/typedoc/interfaces/IBoundingBox.html @@ -1,16 +1,16 @@ -IBoundingBox | @vladmandic/face-api - v1.7.4
    +IBoundingBox | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Interface IBoundingBox

    @@ -74,7 +74,7 @@

    Modules

    diff --git a/typedoc/interfaces/IDimensions.html b/typedoc/interfaces/IDimensions.html index 45b3001..a9a975b 100644 --- a/typedoc/interfaces/IDimensions.html +++ b/typedoc/interfaces/IDimensions.html @@ -1,16 +1,16 @@ -IDimensions | @vladmandic/face-api - v1.7.4
    +IDimensions | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Interface IDimensions

    @@ -61,7 +61,7 @@

    Modules

    diff --git a/typedoc/interfaces/IFaceDetecion.html b/typedoc/interfaces/IFaceDetecion.html index 8ac0a56..f8fb8db 100644 --- a/typedoc/interfaces/IFaceDetecion.html +++ b/typedoc/interfaces/IFaceDetecion.html @@ -1,16 +1,16 @@ -IFaceDetecion | @vladmandic/face-api - v1.7.4
    +IFaceDetecion | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Interface IFaceDetecion

    @@ -61,7 +61,7 @@

    Modules

    diff --git a/typedoc/interfaces/IFaceLandmarks.html b/typedoc/interfaces/IFaceLandmarks.html index 4eff948..7fd7b34 100644 --- a/typedoc/interfaces/IFaceLandmarks.html +++ b/typedoc/interfaces/IFaceLandmarks.html @@ -1,16 +1,16 @@ -IFaceLandmarks | @vladmandic/face-api - v1.7.4
    +IFaceLandmarks | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Interface IFaceLandmarks

    @@ -61,7 +61,7 @@

    Modules

    diff --git a/typedoc/interfaces/IFaceMatch.html b/typedoc/interfaces/IFaceMatch.html index a24f8c2..1788046 100644 --- a/typedoc/interfaces/IFaceMatch.html +++ b/typedoc/interfaces/IFaceMatch.html @@ -1,16 +1,16 @@ -IFaceMatch | @vladmandic/face-api - v1.7.4
    +IFaceMatch | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Interface IFaceMatch

    @@ -61,7 +61,7 @@

    Modules

    diff --git a/typedoc/interfaces/IPoint.html b/typedoc/interfaces/IPoint.html index ce7c1ab..35433b3 100644 --- a/typedoc/interfaces/IPoint.html +++ b/typedoc/interfaces/IPoint.html @@ -1,16 +1,16 @@ -IPoint | @vladmandic/face-api - v1.7.4
    +IPoint | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Interface IPoint

    @@ -61,7 +61,7 @@

    Modules

    diff --git a/typedoc/interfaces/IRect.html b/typedoc/interfaces/IRect.html index 27fb9bc..6fcdfb8 100644 --- a/typedoc/interfaces/IRect.html +++ b/typedoc/interfaces/IRect.html @@ -1,16 +1,16 @@ -IRect | @vladmandic/face-api - v1.7.4
    +IRect | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Interface IRect

    @@ -74,7 +74,7 @@

    Modules

    diff --git a/typedoc/interfaces/ISsdMobilenetv1Options.html b/typedoc/interfaces/ISsdMobilenetv1Options.html index c476a9f..45fa809 100644 --- a/typedoc/interfaces/ISsdMobilenetv1Options.html +++ b/typedoc/interfaces/ISsdMobilenetv1Options.html @@ -1,16 +1,16 @@ -ISsdMobilenetv1Options | @vladmandic/face-api - v1.7.4
    +ISsdMobilenetv1Options | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Interface ISsdMobilenetv1Options

    @@ -57,7 +57,7 @@

    Modules

    diff --git a/typedoc/interfaces/ITinyYolov2Options.html b/typedoc/interfaces/ITinyYolov2Options.html index 531c1a0..eae7e12 100644 --- a/typedoc/interfaces/ITinyYolov2Options.html +++ b/typedoc/interfaces/ITinyYolov2Options.html @@ -1,16 +1,16 @@ -ITinyYolov2Options | @vladmandic/face-api - v1.7.4
    +ITinyYolov2Options | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Interface ITinyYolov2Options

    @@ -57,7 +57,7 @@

    Modules

    diff --git a/typedoc/interfaces/draw.IDrawBoxOptions.html b/typedoc/interfaces/draw.IDrawBoxOptions.html index 1fa17ac..57951c0 100644 --- a/typedoc/interfaces/draw.IDrawBoxOptions.html +++ b/typedoc/interfaces/draw.IDrawBoxOptions.html @@ -1,16 +1,16 @@ -IDrawBoxOptions | @vladmandic/face-api - v1.7.4
    +IDrawBoxOptions | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Interface IDrawBoxOptions

    @@ -70,7 +70,7 @@

    Modules

    diff --git a/typedoc/interfaces/draw.IDrawFaceLandmarksOptions.html b/typedoc/interfaces/draw.IDrawFaceLandmarksOptions.html index eca6ae0..89d9b84 100644 --- a/typedoc/interfaces/draw.IDrawFaceLandmarksOptions.html +++ b/typedoc/interfaces/draw.IDrawFaceLandmarksOptions.html @@ -1,16 +1,16 @@ -IDrawFaceLandmarksOptions | @vladmandic/face-api - v1.7.4
    +IDrawFaceLandmarksOptions | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Interface IDrawFaceLandmarksOptions

    @@ -82,7 +82,7 @@

    Modules

    diff --git a/typedoc/interfaces/draw.IDrawTextFieldOptions.html b/typedoc/interfaces/draw.IDrawTextFieldOptions.html index 8d4a8a1..962064e 100644 --- a/typedoc/interfaces/draw.IDrawTextFieldOptions.html +++ b/typedoc/interfaces/draw.IDrawTextFieldOptions.html @@ -1,16 +1,16 @@ -IDrawTextFieldOptions | @vladmandic/face-api - v1.7.4
    +IDrawTextFieldOptions | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Interface IDrawTextFieldOptions

    @@ -86,7 +86,7 @@

    Modules

    diff --git a/typedoc/modules/draw.html b/typedoc/modules/draw.html index f8f26bb..8d3d8c2 100644 --- a/typedoc/modules/draw.html +++ b/typedoc/modules/draw.html @@ -1,16 +1,16 @@ -draw | @vladmandic/face-api - v1.7.4
    +draw | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Namespace draw

    Namespace utils

    Type alias AgeAndGenderPrediction

    -
    AgeAndGenderPrediction: { age: number; gender: Gender; genderProbability: number }
    +
    AgeAndGenderPrediction: {
        age: number;
        gender: Gender;
        genderProbability: number;
    }

    Type declaration

      @@ -41,7 +41,7 @@

      Modules

      diff --git a/typedoc/types/BatchNorm.html b/typedoc/types/BatchNorm.html index 6e4ac57..5009c52 100644 --- a/typedoc/types/BatchNorm.html +++ b/typedoc/types/BatchNorm.html @@ -1,19 +1,19 @@ -BatchNorm | @vladmandic/face-api - v1.7.4
      +BatchNorm | @vladmandic/face-api - v1.7.5
      +
    • The search index is not available
    @vladmandic/face-api - v1.7.5

    Type alias BatchNorm

    -
    BatchNorm: { sub: tf.Tensor1D; truediv: tf.Tensor1D }
    +
    BatchNorm: {
        sub: tf.Tensor1D;
        truediv: tf.Tensor1D;
    }

    Type declaration

      @@ -39,7 +39,7 @@

      Modules

      diff --git a/typedoc/types/ConvWithBatchNorm.html b/typedoc/types/ConvWithBatchNorm.html index d82f9ba..1257ac4 100644 --- a/typedoc/types/ConvWithBatchNorm.html +++ b/typedoc/types/ConvWithBatchNorm.html @@ -1,19 +1,19 @@ -ConvWithBatchNorm | @vladmandic/face-api - v1.7.4
      +ConvWithBatchNorm | @vladmandic/face-api - v1.7.5
      +
    • The search index is not available
    @vladmandic/face-api - v1.7.5

    Type alias ConvWithBatchNorm

    -
    ConvWithBatchNorm: { bn: BatchNorm; conv: ConvParams }
    +
    ConvWithBatchNorm: {
        bn: BatchNorm;
        conv: ConvParams;
    }

    Type declaration

      @@ -39,7 +39,7 @@

      Modules

      diff --git a/typedoc/types/DefaultTinyYolov2NetParams.html b/typedoc/types/DefaultTinyYolov2NetParams.html index 69382b1..7f8ed64 100644 --- a/typedoc/types/DefaultTinyYolov2NetParams.html +++ b/typedoc/types/DefaultTinyYolov2NetParams.html @@ -1,19 +1,19 @@ -DefaultTinyYolov2NetParams | @vladmandic/face-api - v1.7.4
      +DefaultTinyYolov2NetParams | @vladmandic/face-api - v1.7.5
      +
    • The search index is not available
    @vladmandic/face-api - v1.7.5

    Type alias DefaultTinyYolov2NetParams

    -
    DefaultTinyYolov2NetParams: { conv0: ConvWithBatchNorm; conv1: ConvWithBatchNorm; conv2: ConvWithBatchNorm; conv3: ConvWithBatchNorm; conv4: ConvWithBatchNorm; conv5: ConvWithBatchNorm; conv6: ConvWithBatchNorm; conv7: ConvWithBatchNorm; conv8: ConvParams }
    +
    DefaultTinyYolov2NetParams: {
        conv0: ConvWithBatchNorm;
        conv1: ConvWithBatchNorm;
        conv2: ConvWithBatchNorm;
        conv3: ConvWithBatchNorm;
        conv4: ConvWithBatchNorm;
        conv5: ConvWithBatchNorm;
        conv6: ConvWithBatchNorm;
        conv7: ConvWithBatchNorm;
        conv8: ConvParams;
    }

    Type declaration

      @@ -53,7 +53,7 @@

      Modules

      diff --git a/typedoc/types/Environment.html b/typedoc/types/Environment.html index 2d21f39..edf49da 100644 --- a/typedoc/types/Environment.html +++ b/typedoc/types/Environment.html @@ -1,19 +1,19 @@ -Environment | @vladmandic/face-api - v1.7.4
      +Environment | @vladmandic/face-api - v1.7.5
      +
    • The search index is not available
    @vladmandic/face-api - v1.7.5

    Type alias Environment

    -
    Environment: FileSystem & { Canvas: typeof HTMLCanvasElement; CanvasRenderingContext2D: typeof CanvasRenderingContext2D; Image: typeof HTMLImageElement; ImageData: typeof ImageData; Video: typeof HTMLVideoElement; createCanvasElement: (() => HTMLCanvasElement); createImageElement: (() => HTMLImageElement); createVideoElement: (() => HTMLVideoElement); fetch: ((url: string, init?: RequestInit) => Promise<Response>) }
    @@ -32,7 +32,7 @@

    Modules

    diff --git a/typedoc/types/FaceDetectionFunction.html b/typedoc/types/FaceDetectionFunction.html index 17ea024..55ebfb0 100644 --- a/typedoc/types/FaceDetectionFunction.html +++ b/typedoc/types/FaceDetectionFunction.html @@ -1,16 +1,16 @@ -FaceDetectionFunction | @vladmandic/face-api - v1.7.4
    +FaceDetectionFunction | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Type alias FaceDetectionFunction

    FaceDetectionFunction: ((input: TNetInput) => Promise<FaceDetection[]>)
    @@ -45,7 +45,7 @@

    Modules

    diff --git a/typedoc/types/FaceDetectionOptions.html b/typedoc/types/FaceDetectionOptions.html index 2f3ccbf..0d53299 100644 --- a/typedoc/types/FaceDetectionOptions.html +++ b/typedoc/types/FaceDetectionOptions.html @@ -1,16 +1,16 @@ -FaceDetectionOptions | @vladmandic/face-api - v1.7.4
    +FaceDetectionOptions | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Type alias FaceDetectionOptions

    FaceDetectionOptions: TinyFaceDetectorOptions | SsdMobilenetv1Options | TinyYolov2Options

    Type alias FileSystem

    -
    FileSystem: { readFile: ((filePath: string) => Promise<any>) }
    +
    FileSystem: {
        readFile: ((filePath: string) => Promise<any>);
    }

    Type declaration

      @@ -48,7 +48,7 @@

      Modules

      diff --git a/typedoc/types/ITinyFaceDetectorOptions.html b/typedoc/types/ITinyFaceDetectorOptions.html index 2bb33b3..2c22f45 100644 --- a/typedoc/types/ITinyFaceDetectorOptions.html +++ b/typedoc/types/ITinyFaceDetectorOptions.html @@ -1,16 +1,16 @@ -ITinyFaceDetectorOptions | @vladmandic/face-api - v1.7.4
      +ITinyFaceDetectorOptions | @vladmandic/face-api - v1.7.5
      +
    • The search index is not available
    @vladmandic/face-api - v1.7.5

    Type alias ITinyFaceDetectorOptions

    ITinyFaceDetectorOptions: ITinyYolov2Options

    Type alias MobilenetParams

    -
    MobilenetParams: { conv0: SeparableConvParams | ConvParams; conv1: SeparableConvParams; conv2: SeparableConvParams; conv3: SeparableConvParams; conv4: SeparableConvParams; conv5: SeparableConvParams; conv6?: SeparableConvParams; conv7?: SeparableConvParams; conv8: ConvParams }
    +
    MobilenetParams: {
        conv0: SeparableConvParams | ConvParams;
        conv1: SeparableConvParams;
        conv2: SeparableConvParams;
        conv3: SeparableConvParams;
        conv4: SeparableConvParams;
        conv5: SeparableConvParams;
        conv6?: SeparableConvParams;
        conv7?: SeparableConvParams;
        conv8: ConvParams;
    }

    Type declaration

      @@ -53,7 +53,7 @@

      Modules

      diff --git a/typedoc/types/NetOutput.html b/typedoc/types/NetOutput.html index 441b90e..05af2af 100644 --- a/typedoc/types/NetOutput.html +++ b/typedoc/types/NetOutput.html @@ -1,19 +1,19 @@ -NetOutput | @vladmandic/face-api - v1.7.4
      +NetOutput | @vladmandic/face-api - v1.7.5
      +
    • The search index is not available
    @vladmandic/face-api - v1.7.5

    Type alias NetOutput

    -
    NetOutput: { age: tf.Tensor1D; gender: tf.Tensor2D }
    +
    NetOutput: {
        age: tf.Tensor1D;
        gender: tf.Tensor2D;
    }

    Type declaration

      @@ -39,7 +39,7 @@

      Modules

      diff --git a/typedoc/types/NetParams.html b/typedoc/types/NetParams.html index 2aae45a..96d5dd9 100644 --- a/typedoc/types/NetParams.html +++ b/typedoc/types/NetParams.html @@ -1,24 +1,24 @@ -NetParams | @vladmandic/face-api - v1.7.4
      +NetParams | @vladmandic/face-api - v1.7.5
      +
    • The search index is not available
    @vladmandic/face-api - v1.7.5

    Type alias NetParams

    -
    NetParams: { fc: { age: FCParams; gender: FCParams } }
    +
    NetParams: {
        fc: {
            age: FCParams;
            gender: FCParams;
        };
    }

    Type declaration

    • -
      fc: { age: FCParams; gender: FCParams }
      +
      fc: {
          age: FCParams;
          gender: FCParams;
      }
      • age: FCParams
        • @@ -42,7 +42,7 @@

        Modules

        diff --git a/typedoc/types/TMediaElement.html b/typedoc/types/TMediaElement.html index b92182d..35fef95 100644 --- a/typedoc/types/TMediaElement.html +++ b/typedoc/types/TMediaElement.html @@ -1,16 +1,16 @@ -TMediaElement | @vladmandic/face-api - v1.7.4
        +TMediaElement | @vladmandic/face-api - v1.7.5
        +
      • The search index is not available
      @vladmandic/face-api - v1.7.5

    Type alias TMediaElement

    TMediaElement: HTMLImageElement | HTMLVideoElement | HTMLCanvasElement

    Type alias TNetInput

    TNetInput: TNetInputArg | TNetInputArg[] | NetInput | tf.Tensor4D

    Type alias TNetInputArg

    TNetInputArg: string | TResolvedNetInput

    Type alias TResolvedNetInput

    TResolvedNetInput: TMediaElement | tf.Tensor3D | tf.Tensor4D

    Type alias TinyYolov2Config

    -
    TinyYolov2Config: { anchors: Point[]; classes: string[]; filterSizes?: number[]; iouThreshold: number; isFirstLayerConv2d?: boolean; meanRgb?: [number, number, number]; withClassScores?: boolean; withSeparableConvs: boolean }
    +
    TinyYolov2Config: {
        anchors: Point[];
        classes: string[];
        filterSizes?: number[];
        iouThreshold: number;
        isFirstLayerConv2d?: boolean;
        meanRgb?: [number, number, number];
        withClassScores?: boolean;
        withSeparableConvs: boolean;
    }

    Type declaration

      @@ -51,7 +51,7 @@

      Modules

      diff --git a/typedoc/types/TinyYolov2NetParams.html b/typedoc/types/TinyYolov2NetParams.html index 5b64a4b..36e1783 100644 --- a/typedoc/types/TinyYolov2NetParams.html +++ b/typedoc/types/TinyYolov2NetParams.html @@ -1,16 +1,16 @@ -TinyYolov2NetParams | @vladmandic/face-api - v1.7.4
      +TinyYolov2NetParams | @vladmandic/face-api - v1.7.5
      +
    • The search index is not available
    @vladmandic/face-api - v1.7.5

    Type alias TinyYolov2NetParams

    TinyYolov2NetParams: DefaultTinyYolov2NetParams | MobilenetParams

    Type alias WithAge<TSource>

    -
    WithAge<TSource>: TSource & { age: number }
    +
    WithAge<TSource>: TSource & {
        age: number;
    }

    Type Parameters

      @@ -37,7 +37,7 @@

      Modules

      diff --git a/typedoc/types/WithFaceDescriptor.html b/typedoc/types/WithFaceDescriptor.html index 61cbb48..beca268 100644 --- a/typedoc/types/WithFaceDescriptor.html +++ b/typedoc/types/WithFaceDescriptor.html @@ -1,19 +1,19 @@ -WithFaceDescriptor | @vladmandic/face-api - v1.7.4
      +WithFaceDescriptor | @vladmandic/face-api - v1.7.5
      +
    • The search index is not available
    @vladmandic/face-api - v1.7.5

    Type alias WithFaceDescriptor<TSource>

    -
    WithFaceDescriptor<TSource>: TSource & { descriptor: Float32Array }
    +
    WithFaceDescriptor<TSource>: TSource & {
        descriptor: Float32Array;
    }

    Type Parameters

      @@ -37,7 +37,7 @@

      Modules

      diff --git a/typedoc/types/WithFaceDetection.html b/typedoc/types/WithFaceDetection.html index 8a7e59c..bfa48b1 100644 --- a/typedoc/types/WithFaceDetection.html +++ b/typedoc/types/WithFaceDetection.html @@ -1,19 +1,19 @@ -WithFaceDetection | @vladmandic/face-api - v1.7.4
      +WithFaceDetection | @vladmandic/face-api - v1.7.5
      +
    • The search index is not available
    @vladmandic/face-api - v1.7.5

    Type alias WithFaceDetection<TSource>

    -
    WithFaceDetection<TSource>: TSource & { detection: FaceDetection }
    +
    WithFaceDetection<TSource>: TSource & {
        detection: FaceDetection;
    }

    Type Parameters

      @@ -37,7 +37,7 @@

      Modules

      diff --git a/typedoc/types/WithFaceExpressions.html b/typedoc/types/WithFaceExpressions.html index f260ee9..643f6e5 100644 --- a/typedoc/types/WithFaceExpressions.html +++ b/typedoc/types/WithFaceExpressions.html @@ -1,19 +1,19 @@ -WithFaceExpressions | @vladmandic/face-api - v1.7.4
      +WithFaceExpressions | @vladmandic/face-api - v1.7.5
      +
    • The search index is not available
    @vladmandic/face-api - v1.7.5

    Type alias WithFaceExpressions<TSource>

    -
    WithFaceExpressions<TSource>: TSource & { expressions: FaceExpressions }
    +
    WithFaceExpressions<TSource>: TSource & {
        expressions: FaceExpressions;
    }

    Type Parameters

      @@ -37,7 +37,7 @@

      Modules

      diff --git a/typedoc/types/WithFaceLandmarks.html b/typedoc/types/WithFaceLandmarks.html index f65b97f..c0d93b3 100644 --- a/typedoc/types/WithFaceLandmarks.html +++ b/typedoc/types/WithFaceLandmarks.html @@ -1,19 +1,19 @@ -WithFaceLandmarks | @vladmandic/face-api - v1.7.4
      +WithFaceLandmarks | @vladmandic/face-api - v1.7.5
      +
    • The search index is not available
    @vladmandic/face-api - v1.7.5

    Type alias WithFaceLandmarks<TSource, TFaceLandmarks>

    -
    WithFaceLandmarks<TSource, TFaceLandmarks>: TSource & { alignedRect: FaceDetection; angle: { pitch: number | undefined; roll: number | undefined; yaw: number | undefined }; landmarks: TFaceLandmarks; unshiftedLandmarks: TFaceLandmarks }
    +
    WithFaceLandmarks<TSource, TFaceLandmarks>: TSource & {
        alignedRect: FaceDetection;
        angle: {
            pitch: number | undefined;
            roll: number | undefined;
            yaw: number | undefined;
        };
        landmarks: TFaceLandmarks;
        unshiftedLandmarks: TFaceLandmarks;
    }

    Type Parameters

      @@ -39,7 +39,7 @@

      Modules

      diff --git a/typedoc/types/WithGender.html b/typedoc/types/WithGender.html index 5d66d90..63f1303 100644 --- a/typedoc/types/WithGender.html +++ b/typedoc/types/WithGender.html @@ -1,19 +1,19 @@ -WithGender | @vladmandic/face-api - v1.7.4
      +WithGender | @vladmandic/face-api - v1.7.5
      +
    • The search index is not available
    @vladmandic/face-api - v1.7.5

    Type alias WithGender<TSource>

    -
    WithGender<TSource>: TSource & { gender: Gender; genderProbability: number }
    +
    WithGender<TSource>: TSource & {
        gender: Gender;
        genderProbability: number;
    }

    Type Parameters

      @@ -37,7 +37,7 @@

      Modules

      diff --git a/typedoc/types/draw.DrawFaceExpressionsInput.html b/typedoc/types/draw.DrawFaceExpressionsInput.html index 7831fa1..8600c01 100644 --- a/typedoc/types/draw.DrawFaceExpressionsInput.html +++ b/typedoc/types/draw.DrawFaceExpressionsInput.html @@ -1,16 +1,16 @@ -DrawFaceExpressionsInput | @vladmandic/face-api - v1.7.4
      +DrawFaceExpressionsInput | @vladmandic/face-api - v1.7.5
      +
    • The search index is not available
    @vladmandic/face-api - v1.7.5

    Type alias DrawFaceExpressionsInput

    @@ -33,7 +33,7 @@

    Modules

    diff --git a/typedoc/types/draw.DrawFaceLandmarksInput.html b/typedoc/types/draw.DrawFaceLandmarksInput.html index 6d3e9fc..4f8daa6 100644 --- a/typedoc/types/draw.DrawFaceLandmarksInput.html +++ b/typedoc/types/draw.DrawFaceLandmarksInput.html @@ -1,16 +1,16 @@ -DrawFaceLandmarksInput | @vladmandic/face-api - v1.7.4
    +DrawFaceLandmarksInput | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Type alias DrawFaceLandmarksInput

    @@ -33,7 +33,7 @@

    Modules

    diff --git a/typedoc/types/draw.TDrawDetectionsInput.html b/typedoc/types/draw.TDrawDetectionsInput.html index 7a6f167..c1a6c57 100644 --- a/typedoc/types/draw.TDrawDetectionsInput.html +++ b/typedoc/types/draw.TDrawDetectionsInput.html @@ -1,16 +1,16 @@ -TDrawDetectionsInput | @vladmandic/face-api - v1.7.4
    +TDrawDetectionsInput | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Type alias TDrawDetectionsInput

    @@ -33,7 +33,7 @@

    Modules

    diff --git a/typedoc/variables/FACE_EXPRESSION_LABELS.html b/typedoc/variables/FACE_EXPRESSION_LABELS.html index c21e463..f00fe4c 100644 --- a/typedoc/variables/FACE_EXPRESSION_LABELS.html +++ b/typedoc/variables/FACE_EXPRESSION_LABELS.html @@ -1,16 +1,16 @@ -FACE_EXPRESSION_LABELS | @vladmandic/face-api - v1.7.4
    +FACE_EXPRESSION_LABELS | @vladmandic/face-api - v1.7.5
    +
  • The search index is not available
    • @vladmandic/face-api - v1.7.5

    Variable FACE_EXPRESSION_LABELSConst

    FACE_EXPRESSION_LABELS: string[] = ...

    Variable envConst

    -
    env: { createBrowserEnv: (() => Environment); createFileSystem: ((fs?: any) => FileSystem); createNodejsEnv: (() => Environment); getEnv: (() => Environment); initialize: (() => null | void); isBrowser: (() => boolean); isNodejs: (() => boolean); monkeyPatch: ((env: Partial<Environment>) => void); setEnv: ((env: Environment) => void) } = ...
    +
    env: {
        createBrowserEnv: (() => Environment);
        createFileSystem: ((fs?: any) => FileSystem);
        createNodejsEnv: (() => Environment);
        getEnv: (() => Environment);
        initialize: (() => null | void);
        isBrowser: (() => boolean);
        isNodejs: (() => boolean);
        monkeyPatch: ((env: Partial<Environment>) => void);
        setEnv: ((env: Environment) => void);
    } = ...

    Type declaration

      @@ -122,7 +122,7 @@

      Modules

      diff --git a/typedoc/variables/nets.html b/typedoc/variables/nets.html index d8b55be..a16ba95 100644 --- a/typedoc/variables/nets.html +++ b/typedoc/variables/nets.html @@ -1,19 +1,19 @@ -nets | @vladmandic/face-api - v1.7.4
      +nets | @vladmandic/face-api - v1.7.5
      +
    • The search index is not available
    @vladmandic/face-api - v1.7.5

    Variable netsConst

    -
    nets: { ageGenderNet: AgeGenderNet; faceExpressionNet: FaceExpressionNet; faceLandmark68Net: FaceLandmark68Net; faceLandmark68TinyNet: FaceLandmark68TinyNet; faceRecognitionNet: FaceRecognitionNet; ssdMobilenetv1: SsdMobilenetv1; tinyFaceDetector: TinyFaceDetector; tinyYolov2: TinyYolov2 } = ...
    +
    nets: {
        ageGenderNet: AgeGenderNet;
        faceExpressionNet: FaceExpressionNet;
        faceLandmark68Net: FaceLandmark68Net;
        faceLandmark68TinyNet: FaceLandmark68TinyNet;
        faceRecognitionNet: FaceRecognitionNet;
        ssdMobilenetv1: SsdMobilenetv1;
        tinyFaceDetector: TinyFaceDetector;
        tinyYolov2: TinyYolov2;
    } = ...

    Type declaration

      @@ -51,7 +51,7 @@

      Modules

      diff --git a/typedoc/variables/version.html b/typedoc/variables/version.html index 458dc1d..8f8d5fb 100644 --- a/typedoc/variables/version.html +++ b/typedoc/variables/version.html @@ -1,16 +1,16 @@ -version | @vladmandic/face-api - v1.7.4
      +version | @vladmandic/face-api - v1.7.5
      +
    • The search index is not available
    @vladmandic/face-api - v1.7.5

    Variable versionConst

    version: string = ...